diff --git a/.devops/intel.Dockerfile b/.devops/intel.Dockerfile
index 955a2962f..8e830d462 100644
--- a/.devops/intel.Dockerfile
+++ b/.devops/intel.Dockerfile
@@ -1,4 +1,4 @@
-ARG ONEAPI_VERSION=2025.3.2-0-devel-ubuntu24.04
+ARG ONEAPI_VERSION=2025.3.3-0-devel-ubuntu24.04
 
 ## Build Image
 
diff --git a/.devops/nix/package.nix b/.devops/nix/package.nix
index 0277dda86..4e5fd00a5 100644
--- a/.devops/nix/package.nix
+++ b/.devops/nix/package.nix
@@ -18,6 +18,7 @@
   vulkan-loader,
   openssl,
   shaderc,
+  spirv-headers,
   useBlas ?
     builtins.all (x: !x) [
       useCuda
@@ -145,6 +146,7 @@ effectiveStdenv.mkDerivation (finalAttrs: {
       ninja
       pkg-config
       git
+      spirv-headers
     ]
     ++ optionals useCuda [
       cudaPackages.cuda_nvcc
diff --git a/.devops/openvino.Dockerfile b/.devops/openvino.Dockerfile
index 3ee4dd201..31b58736d 100644
--- a/.devops/openvino.Dockerfile
+++ b/.devops/openvino.Dockerfile
@@ -2,7 +2,19 @@ ARG OPENVINO_VERSION_MAJOR=2026.0
 ARG OPENVINO_VERSION_FULL=2026.0.0.20965.c6d6a13a886
 ARG UBUNTU_VERSION=24.04
 
-# Optional proxy build arguments - empty by default
+# Intel GPU driver versions. https://github.com/intel/compute-runtime/releases
+ARG IGC_VERSION=v2.30.1
+ARG IGC_VERSION_FULL=2_2.30.1+20950
+ARG COMPUTE_RUNTIME_VERSION=26.09.37435.1
+ARG COMPUTE_RUNTIME_VERSION_FULL=26.09.37435.1-0
+ARG IGDGMM_VERSION=22.9.0
+
+# Intel NPU driver versions. https://github.com/intel/linux-npu-driver/releases
+ARG NPU_DRIVER_VERSION=v1.32.0
+ARG NPU_DRIVER_FULL=v1.32.0.20260402-23905121947
+ARG LIBZE1_VERSION=1.27.0-1~24.04~ppa2
+
+# Optional proxy build arguments
 ARG http_proxy=
 ARG https_proxy=
 
@@ -78,13 +90,47 @@ ARG http_proxy
 ARG https_proxy
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 libtbb12 curl \
+    && apt-get install -y libgomp1 libtbb12 curl wget ocl-icd-libopencl1 \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
     && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
     && find /var/cache -type f -delete
 
+# Install GPU drivers
+ARG IGC_VERSION
+ARG IGC_VERSION_FULL
+ARG COMPUTE_RUNTIME_VERSION
+ARG COMPUTE_RUNTIME_VERSION_FULL
+ARG IGDGMM_VERSION
+RUN mkdir /tmp/neo/ && cd /tmp/neo/ \
+    && wget https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \
+    && wget https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-ocloc-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-opencl-icd-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libze-intel-gpu1-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \
+    && wget https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \
+    && dpkg --install *.deb \
+    && rm -rf /tmp/neo/
+
+# Install NPU drivers
+ARG NPU_DRIVER_VERSION
+ARG NPU_DRIVER_FULL
+ARG LIBZE1_VERSION
+RUN mkdir /tmp/npu/ && cd /tmp/npu/ \
+    && wget https://github.com/intel/linux-npu-driver/releases/download/${NPU_DRIVER_VERSION}/linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz \
+    && tar -xf linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz \
+    && dpkg --install *.deb \
+    && rm -rf /tmp/npu/
+
+RUN cd /tmp \
+    && wget https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260324T100000Z/pool/main/l/level-zero-loader/libze1_${LIBZE1_VERSION}_amd64.deb \
+    && dpkg --install libze1_${LIBZE1_VERSION}_amd64.deb \
+    && rm libze1_${LIBZE1_VERSION}_amd64.deb
+
 COPY --from=build /app/lib/ /app/
 
 ### Full (all binaries)
diff --git a/.devops/vulkan.Dockerfile b/.devops/vulkan.Dockerfile
index 98036c5fd..f4d199ed4 100644
--- a/.devops/vulkan.Dockerfile
+++ b/.devops/vulkan.Dockerfile
@@ -7,7 +7,7 @@ RUN apt update && apt install -y git build-essential cmake wget xz-utils
 
 # Install SSL and Vulkan SDK dependencies
 RUN apt install -y libssl-dev curl \
-    libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc
+    libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers
 
 # Build it
 WORKDIR /app
diff --git a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
index b55bc1a3f..51ef87a59 100644
--- a/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
+++ b/.github/ISSUE_TEMPLATE/010-bug-compilation.yml
@@ -12,6 +12,8 @@ body:
         after recreating the CMake build directory and with `-DGGML_CCACHE=OFF`.
         If the compilation succeeds with ccache disabled you should be able to permanently fix the issue
         by clearing `~/.cache/ccache` (on Linux).
+
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
   - type: textarea
     id: commit
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/011-bug-results.yml b/.github/ISSUE_TEMPLATE/011-bug-results.yml
index 653d75e16..c7001edf0 100644
--- a/.github/ISSUE_TEMPLATE/011-bug-results.yml
+++ b/.github/ISSUE_TEMPLATE/011-bug-results.yml
@@ -1,5 +1,5 @@
 name: Bug (model use)
-description: Something goes wrong when using a model (in general, not specific to a single llama.cpp module).
+description: Something goes wrong when running a model (crashes, garbled outputs, etc.).
 title: "Eval bug: "
 labels: ["bug-unconfirmed", "model evaluation"]
 body:
@@ -12,6 +12,8 @@ body:
         If you encountered the issue while using an external UI (e.g. ollama),
         please reproduce your issue using one of the examples/binaries in this repository.
         The `llama-completion` binary can be used for simple and reproducible model inference.
+
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
   - type: textarea
     id: version
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/019-bug-misc.yml b/.github/ISSUE_TEMPLATE/019-bug-misc.yml
index 8e867e7f6..831c98eb6 100644
--- a/.github/ISSUE_TEMPLATE/019-bug-misc.yml
+++ b/.github/ISSUE_TEMPLATE/019-bug-misc.yml
@@ -10,6 +10,8 @@ body:
         This issue template is intended for miscellaneous bugs that don't fit into any other category.
         If you encountered the issue while using an external UI (e.g. ollama),
         please reproduce your issue using one of the examples/binaries in this repository.
+
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
   - type: textarea
     id: version
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/020-enhancement.yml b/.github/ISSUE_TEMPLATE/020-enhancement.yml
index cee1446f5..fdca622ae 100644
--- a/.github/ISSUE_TEMPLATE/020-enhancement.yml
+++ b/.github/ISSUE_TEMPLATE/020-enhancement.yml
@@ -8,6 +8,8 @@ body:
       value: |
         [Please post your idea first in Discussion if there is not yet a consensus for this enhancement request. This will help to keep this issue tracker focused on enhancements that the community has agreed needs to be implemented.](https://github.com/ggml-org/llama.cpp/discussions/categories/ideas)
 
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
+
   - type: checkboxes
     id: prerequisites
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/030-research.yml b/.github/ISSUE_TEMPLATE/030-research.yml
index e774550d5..172edc132 100644
--- a/.github/ISSUE_TEMPLATE/030-research.yml
+++ b/.github/ISSUE_TEMPLATE/030-research.yml
@@ -8,6 +8,8 @@ body:
       value: |
         Don't forget to check for any [duplicate research issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3A%22research+%F0%9F%94%AC%22)
 
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
+
   - type: checkboxes
     id: research-stage
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/040-refactor.yml b/.github/ISSUE_TEMPLATE/040-refactor.yml
index 2fe94e26c..efd10d79d 100644
--- a/.github/ISSUE_TEMPLATE/040-refactor.yml
+++ b/.github/ISSUE_TEMPLATE/040-refactor.yml
@@ -9,6 +9,8 @@ body:
         Don't forget to [check for existing refactor issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3Arefactoring) in case it's already covered.
         Also you may want to check [Pull request refactor label as well](https://github.com/ggml-org/llama.cpp/pulls?q=is%3Aopen+is%3Apr+label%3Arefactoring) for duplicates too.
 
+        Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
+
   - type: textarea
     id: background-description
     attributes:
diff --git a/.github/labeler.yml b/.github/labeler.yml
index ef89541b1..70384994d 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -73,10 +73,18 @@ android:
     - changed-files:
         - any-glob-to-any-file:
             - examples/llama.android/**
+server/webui:
+    - changed-files:
+        - any-glob-to-any-file:
+            - tools/server/webui/**
+            - tools/server/public/**
 server:
     - changed-files:
         - any-glob-to-any-file:
             - tools/server/**
+
+
+
 ggml:
     - changed-files:
         - any-glob-to-any-file:
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index eca2248a0..d9844103a 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -6,7 +6,7 @@
 
 <!-- You can provide more details and link related discussions here. Delete this section if not applicable -->
 
-# Requirements
+## Requirements
 
 <!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->
 
diff --git a/.github/workflows/build-and-test-snapdragon.yml b/.github/workflows/build-and-test-snapdragon.yml
new file mode 100644
index 000000000..deed8e808
--- /dev/null
+++ b/.github/workflows/build-and-test-snapdragon.yml
@@ -0,0 +1,116 @@
+name: CI (snapdragon)
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - master
+    paths:
+      - '.github/workflows/build-and-test-snapdragon.yml'
+      - 'ggml/include/ggml-hexagon.h'
+      - 'ggml/src/ggml-hexagon/**'
+      - 'docs/backend/snapdragon/**'
+      - 'scripts/snapdragon/**'
+      - 'CMakePresets.json'
+
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths:
+      - '.github/workflows/build-and-test-snapdragon.yml'
+      - 'ggml/include/ggml-hexagon.h'
+      - 'ggml/src/ggml-hexagon/**'
+      - 'docs/backend/snapdragon/**'
+      - 'scripts/snapdragon/**'
+      - 'CMakePresets.json'
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  android-ndk-snapdragon:
+    runs-on: ubuntu-latest
+    container:
+      image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.3'
+    defaults:
+      run:
+        shell: bash
+
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+          lfs: false
+
+      - name: Build Llama.CPP for Snapdragon Android
+        id: build_llama_cpp_snapdragon_android
+        run: |
+          cp docs/backend/snapdragon/CMakeUserPresets.json .
+          cmake --preset arm64-android-snapdragon-release -B build
+          cmake --build build
+          cmake --install build --prefix pkg-snapdragon/llama.cpp
+
+      - name: Upload Llama.CPP Snapdragon Android Build Artifact
+        if: ${{ always() && steps.build_llama_cpp_snapdragon_android.outcome == 'success' }}
+        uses: actions/upload-artifact@v6
+        with:
+          name: llama-cpp-android-arm64-snapdragon
+          path: pkg-snapdragon/llama.cpp
+
+  test-snapdragon-qdc:
+    name: Test on QDC Android Device (${{ matrix.device }})
+    needs: [android-ndk-snapdragon]
+    runs-on: ubuntu-slim
+    strategy:
+      fail-fast: false
+      matrix:
+        device: [SM8750, SM8650, SM8850]
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Download build artifact
+        uses: actions/download-artifact@v7
+        with:
+          name: llama-cpp-android-arm64-snapdragon
+          path: pkg-snapdragon/llama.cpp
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+          cache: pip
+
+      - name: Install system dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y curl unzip
+
+      - name: Install QDC SDK wheel
+        run: |
+          curl -fSL -o qdc_sdk.zip https://softwarecenter.qualcomm.com/api/download/software/tools/Qualcomm_Device_Cloud_SDK/All/0.2.3/qualcomm_device_cloud_sdk-0.2.3.zip
+          unzip qdc_sdk.zip -d qdc_sdk
+          pip install qdc_sdk/qualcomm_device_cloud_sdk-0.2.3-py3-none-any.whl
+
+      - name: Check QDC API key
+        id: check_secret
+        env:
+          QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
+        run: echo "has-qdc-key=${{ env.QDC_API_KEY != '' }}" >> "$GITHUB_OUTPUT"
+
+      - name: Run QDC tests (${{ matrix.device }})
+        if: steps.check_secret.outputs.has-qdc-key == 'true'
+        run: |
+          python scripts/snapdragon/qdc/run_qdc_jobs.py \
+              --test       all \
+              --pkg-dir    pkg-snapdragon/llama.cpp \
+              --model-url  "https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf" \
+              --device     ${{ matrix.device }}
+        env:
+          QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
+
+      - name: Cleanup
+        if: always()
+        run: rm -rf pkg-snapdragon qdc_sdk qdc_sdk.zip
diff --git a/.github/workflows/build-android.yml b/.github/workflows/build-android.yml
index 5fc24d8d3..5d88305a4 100644
--- a/.github/workflows/build-android.yml
+++ b/.github/workflows/build-android.yml
@@ -1,26 +1,24 @@
 name: CI (android)
 
 on:
-  workflow_dispatch: # allows manual triggering
+  workflow_dispatch:
   push:
     branches:
       - master
-    paths: [
-      '.github/workflows/build-android.yml',
-      '**/CMakeLists.txt',
-      '**/.cmake',
-      '**/*.h',
-      '**/*.hpp',
-      '**/*.c',
-      '**/*.cpp'
-    ]
+    paths:
+      - '.github/workflows/build-android.yml'
+      - '**/CMakeLists.txt'
+      - '**/.cmake'
+      - '**/*.h'
+      - '**/*.hpp'
+      - '**/*.c'
+      - '**/*.cpp'
 
   pull_request:
     types: [opened, synchronize, reopened]
-    paths: [
-      '.github/workflows/build-android.yml',
-      'examples/llama.android/**'
-    ]
+    paths:
+      - '.github/workflows/build-android.yml'
+      - 'examples/llama.android/**'
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
@@ -51,7 +49,7 @@ jobs:
           distribution: zulu
 
       - name: Setup Android SDK
-        uses: android-actions/setup-android@9fc6c4e9069bf8d3d10b2204b1fb8f6ef7065407 # v3
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
         with:
           log-accepted-android-sdk-licenses: false
 
@@ -67,35 +65,24 @@ jobs:
     defaults:
       run:
         shell: bash
-    strategy:
-      matrix:
-        include:
-          - build: 'arm64-cpu'
-            defines: '-D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF'
-          - build: 'arm64-snapdragon'
-            defines: '--preset arm64-android-snapdragon-release'
 
     steps:
       - name: Clone
-        id: checkout
         uses: actions/checkout@v6
         with:
           fetch-depth: 0
           lfs: false
 
-      - name: Build Llama.CPP for Hexagon Android
-        id: build_llama_cpp_hexagon_android
+      - name: Build
+        id: ndk_build
         run: |
-          if [[ "${{ matrix.build }}" == "arm64-snapdragon" ]]; then
-            cp docs/backend/snapdragon/CMakeUserPresets.json .
-          fi
-          cmake ${{ matrix.defines }} -B build
+          cmake -D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF -B build
           cmake --build build
           cmake --install build --prefix pkg-adb/llama.cpp
 
-      - name: Upload Llama.CPP Hexagon Android Build Artifact
-        if: ${{ always() && steps.build_llama_cpp_hexagon_android.outcome == 'success' }}
+      - name: Upload Android Build Artifact
+        if: ${{ always() && steps.ndk_build.outcome == 'success' }}
         uses: actions/upload-artifact@v6
         with:
-          name: llama-cpp-android-${{ matrix.build }}
+          name: llama-cpp-android-arm64-cpu
           path: pkg-adb/llama.cpp
diff --git a/.github/workflows/build-cross.yml b/.github/workflows/build-cross.yml
index 74508129a..aef45afde 100644
--- a/.github/workflows/build-cross.yml
+++ b/.github/workflows/build-cross.yml
@@ -246,6 +246,7 @@ jobs:
           apt-get install -y --no-install-recommends \
                   build-essential \
                   glslc \
+                  spirv-headers \
                   gcc-14-loongarch64-linux-gnu \
                   g++-14-loongarch64-linux-gnu \
                   libvulkan-dev:loong64
diff --git a/.github/workflows/build-openvino.yml b/.github/workflows/build-openvino.yml
new file mode 100644
index 000000000..f7177f6be
--- /dev/null
+++ b/.github/workflows/build-openvino.yml
@@ -0,0 +1,120 @@
+name: CI (openvino)
+
+on:
+  workflow_dispatch: # allows manual triggering
+  push:
+    branches:
+      - master
+    paths: [
+      '.github/workflows/build-openvino.yml',
+      '**/CMakeLists.txt',
+      '**/.cmake',
+      '**/*.h',
+      '**/*.hpp',
+      '**/*.c',
+      '**/*.cpp',
+    ]
+
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths: [
+      '.github/workflows/build-openvino.yml',
+      'ggml/src/ggml-openvino/**'
+    ]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+env:
+  GGML_NLOOP: 3
+  GGML_N_THREADS: 1
+  LLAMA_LOG_COLORS: 1
+  LLAMA_LOG_PREFIX: 1
+  LLAMA_LOG_TIMESTAMPS: 1
+
+jobs:
+  ubuntu-24-openvino:
+    name: ubuntu-24-openvino-${{ matrix.openvino_device }}
+
+    concurrency:
+      group: openvino-${{ matrix.variant }}-${{ github.head_ref || github.ref }}
+      cancel-in-progress: false
+
+    strategy:
+      matrix:
+        include:
+          - variant: cpu
+            runner: '"ubuntu-24.04"'
+            openvino_device: "CPU"
+          - variant: gpu
+            runner: '["self-hosted","Linux","Intel","OpenVINO"]'
+            openvino_device: "GPU"
+
+    runs-on: ${{ fromJSON(matrix.runner) }}
+
+    env:
+      # Sync versions in build-openvino.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
+      OPENVINO_VERSION_MAJOR: "2026.0"
+      OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: ccache
+        if: runner.environment == 'github-hosted'
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: ubuntu-24-openvino-${{ matrix.variant }}-no-preset-v1
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Dependencies
+        id: depends
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
+          sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
+
+      - name: Use OpenVINO Toolkit Cache
+        if: runner.environment == 'github-hosted'
+        uses: actions/cache@v5
+        id: cache-openvino
+        with:
+          path: ./openvino_toolkit
+          key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
+
+      - name: Setup OpenVINO Toolkit
+        if: steps.cache-openvino.outputs.cache-hit != 'true'
+        uses: ./.github/actions/linux-setup-openvino
+        with:
+          path: ./openvino_toolkit
+          version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
+          version_full: ${{ env.OPENVINO_VERSION_FULL }}
+
+      - name: Install OpenVINO dependencies
+        run: |
+          cd ./openvino_toolkit
+          chmod +x ./install_dependencies/install_openvino_dependencies.sh
+          echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
+
+      - name: Build
+        id: cmake_build
+        run: |
+          source ./openvino_toolkit/setupvars.sh
+          cmake -B build/ReleaseOV -G Ninja \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DGGML_OPENVINO=ON
+          time cmake --build build/ReleaseOV --config Release -j $(nproc)
+
+      - name: Test
+        id: cmake_test
+        # TODO: fix and re-enable the `test-llama-archs` test below
+        run: |
+          cd ${{ github.workspace }}
+          if [ "${{ matrix.openvino_device }}" = "GPU" ]; then
+            export GGML_OPENVINO_DEVICE=GPU
+          fi
+          ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000
diff --git a/.github/workflows/build-riscv.yml b/.github/workflows/build-riscv.yml
index 9733dbaa7..b78b13140 100644
--- a/.github/workflows/build-riscv.yml
+++ b/.github/workflows/build-riscv.yml
@@ -47,22 +47,10 @@ jobs:
     steps:
       - name: Install dependencies
         run: |
-          sudo apt-get update
-
-          # Install necessary packages
-          sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 cmake build-essential wget git-lfs
-
           # Set gcc-14 and g++-14 as the default compilers
           sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
           sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
 
-          if ! which rustc; then
-            # Install Rust stable version
-            sudo apt-get install -y rustup
-            rustup install stable
-            rustup default stable
-          fi
-
           git lfs install
 
       - name: GCC version check
@@ -74,12 +62,12 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
-      # FIXME: Enable when ggml-org/ccache-action works on riscv64
-      # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.21
-      #   with:
-      #     key: ubuntu-riscv64-native-sanitizer-${{ matrix.sanytizer }}-${{ matrix.build_type }}
-      #     save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+      - name: ccache
+        uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
+        with:
+          key: ubuntu-riscv64-native-sanitizer-${{ matrix.sanitizer }}-${{ matrix.build_type }}
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
diff --git a/.github/workflows/build-self-hosted.yml b/.github/workflows/build-self-hosted.yml
index eeea820ba..e9148dd73 100644
--- a/.github/workflows/build-self-hosted.yml
+++ b/.github/workflows/build-self-hosted.yml
@@ -97,6 +97,36 @@ jobs:
           vulkaninfo --summary
           GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
 
+  # TODO: investigate slight precision issues in some operations for test-backend-ops on the WebGPU backend.
+  #ggml-ci-nvidia-webgpu:
+  #  runs-on: [self-hosted, Linux, NVIDIA]
+
+  #  steps:
+  #    - name: Clone
+  #      id: checkout
+  #      uses: actions/checkout@v6
+
+  #    - name: Dawn Dependency
+  #      id: dawn-depends
+  #      run: |
+  #        DAWN_VERSION="v20260317.182325"
+  #        DAWN_OWNER="google"
+  #        DAWN_REPO="dawn"
+  #        DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
+  #        echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+  #        curl -L -o artifact.tar.gz \
+  #          "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+  #        mkdir dawn
+  #        tar -xvf artifact.tar.gz -C dawn --strip-components=1
+
+  #    - name: Test
+  #      id: ggml-ci
+  #      run: |
+  #        GG_BUILD_WEBGPU=1 \
+  #        GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
+  #        GG_BUILD_WEBGPU_DAWN_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
+  #          bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
+
   # TODO: provision AMX-compatible machine
   #ggml-ci-cpu-amx:
   #  runs-on: [self-hosted, Linux, CPU, AMX]
@@ -141,61 +171,59 @@ jobs:
   #         amd-smi static
   #         GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp /mnt/llama.cpp
 
-  # TODO: sandbox Mac runners
-  #  ggml-ci-mac-metal:
-  #    runs-on: [self-hosted, macOS, ARM64]
-  #
-  #    steps:
-  #      - name: Clone
-  #        id: checkout
-  #        uses: actions/checkout@v6
-  #
-  #      - name: Test
-  #        id: ggml-ci
-  #        run: |
-  #          GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-  #
-  #  ggml-ci-mac-webgpu:
-  #    runs-on: [self-hosted, macOS, ARM64]
-  #
-  #    steps:
-  #      - name: Clone
-  #        id: checkout
-  #        uses: actions/checkout@v6
-  #
-  #      - name: Dawn Dependency
-  #        id: dawn-depends
-  #        run: |
-  #          DAWN_VERSION="v2.0.0"
-  #          DAWN_OWNER="reeselevine"
-  #          DAWN_REPO="dawn"
-  #          DAWN_ASSET_NAME="Dawn-5e9a4865b1635796ccc77dd30057f2b4002a1355-macos-latest-Release"
-  #          echo "Fetching release asset from https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
-  #          curl -L -o artifact.zip \
-  #            "https://github.com/${DAWN_OWNER}/${DAWN_REPO}/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.zip"
-  #          mkdir dawn
-  #          unzip artifact.zip
-  #          tar -xvf ${DAWN_ASSET_NAME}.tar.gz -C dawn --strip-components=1
-  #
-  #      - name: Test
-  #        id: ggml-ci
-  #        run: |
-  #          GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
-  #            bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
-  #
-  #  ggml-ci-mac-vulkan:
-  #    runs-on: [self-hosted, macOS, ARM64]
-  #
-  #    steps:
-  #      - name: Clone
-  #        id: checkout
-  #        uses: actions/checkout@v6
-  #
-  #      - name: Test
-  #        id: ggml-ci
-  #        run: |
-  #          vulkaninfo --summary
-  #          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+  ggml-ci-mac-metal:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  ggml-ci-mac-webgpu:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Dawn Dependency
+        id: dawn-depends
+        run: |
+          DAWN_VERSION="v20260317.182325"
+          DAWN_OWNER="google"
+          DAWN_REPO="dawn"
+          DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
+          echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+          curl -L -o artifact.tar.gz \
+            "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
+          mkdir dawn
+          tar -xvf artifact.tar.gz -C dawn --strip-components=1
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
+            bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+
+  ggml-ci-mac-vulkan:
+    runs-on: [self-hosted, macOS, ARM64]
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Test
+        id: ggml-ci
+        run: |
+          vulkaninfo --summary
+          GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
 
   ggml-ci-linux-intel-vulkan:
     runs-on: [self-hosted, Linux, Intel]
@@ -237,6 +265,10 @@ jobs:
   ggml-ci-intel-openvino-gpu-low-perf:
     runs-on: [self-hosted, Linux, Intel, OpenVINO]
 
+    concurrency:
+      group: openvino-gpu-${{ github.head_ref || github.ref }}
+      cancel-in-progress: false
+
     env:
       # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
       OPENVINO_VERSION_MAJOR: "2026.0"
diff --git a/.github/workflows/build-sycl.yml b/.github/workflows/build-sycl.yml
new file mode 100644
index 000000000..2a6642292
--- /dev/null
+++ b/.github/workflows/build-sycl.yml
@@ -0,0 +1,142 @@
+name: CI (sycl)
+
+on:
+  workflow_dispatch: # allows manual triggering
+  push:
+    branches:
+      - master
+    paths: [
+      '.github/workflows/build-sycl.yml',
+      '**/CMakeLists.txt',
+      '**/.cmake',
+      '**/*.h',
+      '**/*.hpp',
+      '**/*.c',
+      '**/*.cpp'
+    ]
+
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths: [
+      '.github/workflows/build-sycl.yml',
+      'ggml/src/ggml-sycl/**'
+    ]
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
+  cancel-in-progress: true
+
+env:
+  GGML_NLOOP: 3
+  GGML_N_THREADS: 1
+  LLAMA_LOG_COLORS: 1
+  LLAMA_LOG_PREFIX: 1
+  LLAMA_LOG_TIMESTAMPS: 1
+
+jobs:
+
+  ubuntu-24-sycl:
+    strategy:
+      matrix:
+        build: [fp32, fp16]
+        include:
+          - build: fp32
+            fp16: OFF
+          - build: fp16
+            fp16: ON
+
+    runs-on: ubuntu-24.04
+
+    env:
+      ONEAPI_ROOT: /opt/intel/oneapi/
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
+
+    continue-on-error: true
+
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Use oneAPI Installation Cache
+        uses: actions/cache@v5
+        id: cache-sycl
+        with:
+          path: ${{ env.ONEAPI_ROOT }}
+          key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
+
+      - name: Download & Install oneAPI
+        shell: bash
+        if: steps.cache-sycl.outputs.cache-hit != 'true'
+        run: |
+          cd /tmp
+          wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/56f7923a-adb8-43f3-8b02-2b60fcac8cab/intel-deep-learning-essentials-2025.3.3.16_offline.sh -O intel-deep-learning-essentials_offline.sh
+          sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept
+
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: ubuntu-24-sycl-${{ matrix.build }}
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Build
+        id: cmake_build
+        run: |
+          source /opt/intel/oneapi/setvars.sh
+          cmake -B build \
+            -G "Ninja" \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DGGML_SYCL=ON \
+            -DCMAKE_C_COMPILER=icx \
+            -DCMAKE_CXX_COMPILER=icpx \
+            -DLLAMA_OPENSSL=OFF \
+            -DGGML_NATIVE=OFF \
+            -DGGML_SYCL_F16=${{ matrix.fp16 }}
+          time cmake --build build --config Release -j $(nproc)
+
+  windows-latest-sycl:
+    runs-on: windows-2022
+
+    defaults:
+      run:
+        shell: bash
+
+    env:
+      WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b60765d1-2b85-4e85-86b6-cb0e9563a699/intel-deep-learning-essentials-2025.3.3.18_offline.exe
+      WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
+      ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: Use oneAPI Installation Cache
+        uses: actions/cache@v5
+        id: cache-sycl
+        with:
+          path: ${{ env.ONEAPI_ROOT }}
+          key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
+
+      - name: Download & Install oneAPI
+        shell: bash
+        if: steps.cache-sycl.outputs.cache-hit != 'true'
+        run: |
+          scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: windows-latest-sycl
+          variant: ccache
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      # TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args
+
+      - name: Build
+        id: cmake_build
+        run:  examples/sycl/win-build-sycl.bat
diff --git a/.github/workflows/build-vulkan.yml b/.github/workflows/build-vulkan.yml
index de38bb2db..ab32b6525 100644
--- a/.github/workflows/build-vulkan.yml
+++ b/.github/workflows/build-vulkan.yml
@@ -93,4 +93,5 @@ jobs:
           export GGML_VK_DISABLE_F16=1
           export GGML_VK_DISABLE_COOPMAT=1
           # This is using llvmpipe and runs slower than other backends
-          ctest -L main --verbose --timeout 4800
+          # test-backend-ops is too slow on llvmpipe, skip it
+          ctest -L main -E test-backend-ops --verbose --timeout 900
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index f4ae36756..21eb4d97b 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -267,6 +267,56 @@ jobs:
           wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf
           ./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
 
+  android-arm64:
+    runs-on: ubuntu-latest
+
+    env:
+      NDK_VERSION: "29.0.14206865"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: android-arm64
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Set up JDK
+        uses: actions/setup-java@v5
+        with:
+          java-version: 17
+          distribution: temurin
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
+        with:
+          log-accepted-android-sdk-licenses: false
+
+      - name: Install NDK
+        run: |
+          sdkmanager "ndk;${{ env.NDK_VERSION }}"
+          echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
+
+      - name: Build
+        id: cmake_build
+        run: |
+          cmake -B build \
+            -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
+            -DANDROID_ABI=arm64-v8a \
+            -DANDROID_PLATFORM=android-28 \
+            -DLLAMA_FATAL_WARNINGS=ON \
+            -DGGML_BACKEND_DL=ON \
+            -DGGML_NATIVE=OFF \
+            -DGGML_CPU_ALL_VARIANTS=ON \
+            -DGGML_OPENMP=OFF \
+            -DLLAMA_BUILD_BORINGSSL=ON \
+            -DGGML_RPC=ON
+          time cmake --build build --config Release -j $(nproc)
+
   ubuntu-latest-rpc:
     runs-on: ubuntu-latest
 
@@ -318,7 +368,7 @@ jobs:
         id: depends
         run: |
           sudo apt-get update
-          sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev libssl-dev ninja-build
+          sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
           echo "CC=gcc-14" >> "$GITHUB_ENV"
           echo "CXX=g++-14" >> "$GITHUB_ENV"
 
@@ -505,186 +555,6 @@ jobs:
             -DGGML_MUSA=ON
           time cmake --build build --config Release -j $(nproc)
 
-  ubuntu-22-sycl:
-    runs-on: ubuntu-22.04
-
-    continue-on-error: true
-
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: add oneAPI to apt
-        shell: bash
-        run: |
-          cd /tmp
-          wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
-
-      - name: install oneAPI dpcpp compiler
-        shell: bash
-        run: |
-          sudo apt update
-          sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev
-
-      - name: install oneAPI MKL library
-        shell: bash
-        run: |
-          sudo apt install intel-oneapi-mkl-devel
-
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.21
-        with:
-          key: ubuntu-22-sycl
-          evict-old-files: 1d
-          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-
-      - name: Build
-        id: cmake_build
-        run: |
-          source /opt/intel/oneapi/setvars.sh
-          cmake -B build \
-            -DGGML_SYCL=ON \
-            -DCMAKE_C_COMPILER=icx \
-            -DCMAKE_CXX_COMPILER=icpx
-          time cmake --build build --config Release -j $(nproc)
-
-  ubuntu-22-sycl-fp16:
-    runs-on: ubuntu-22.04
-
-    continue-on-error: true
-
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: add oneAPI to apt
-        shell: bash
-        run: |
-          cd /tmp
-          wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          rm GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
-          sudo add-apt-repository "deb https://apt.repos.intel.com/oneapi all main"
-
-      - name: install oneAPI dpcpp compiler
-        shell: bash
-        run: |
-          sudo apt update
-          sudo apt install intel-oneapi-compiler-dpcpp-cpp libssl-dev ninja-build
-
-      - name: install oneAPI MKL library
-        shell: bash
-        run: |
-          sudo apt install intel-oneapi-mkl-devel
-
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.21
-        with:
-          key: ubuntu-22-sycl-fp16
-          evict-old-files: 1d
-          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-
-      - name: Build
-        id: cmake_build
-        run: |
-          source /opt/intel/oneapi/setvars.sh
-          cmake -B build \
-            -G "Ninja" \
-            -DCMAKE_BUILD_TYPE=Release \
-            -DGGML_SYCL=ON \
-            -DCMAKE_C_COMPILER=icx \
-            -DCMAKE_CXX_COMPILER=icpx \
-            -DGGML_SYCL_F16=ON
-          time cmake --build build --config Release -j $(nproc)
-
-  ubuntu-24-openvino:
-      name: ubuntu-24-openvino-${{ matrix.openvino_device }}
-      strategy:
-        matrix:
-          include:
-            - variant: cpu
-              runner: '"ubuntu-24.04"'
-              openvino_device: "CPU"
-            - variant: gpu
-              runner: '["self-hosted","Linux","X64","Intel"]'
-              openvino_device: "GPU"
-
-      runs-on: ${{ fromJSON(matrix.runner) }}
-
-      env:
-        # Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
-        OPENVINO_VERSION_MAJOR: "2026.0"
-        OPENVINO_VERSION_FULL: "2026.0.0.20965.c6d6a13a886"
-
-      steps:
-        - name: Clone
-          id: checkout
-          uses: actions/checkout@v6
-
-        - name: ccache
-          if: runner.environment == 'github-hosted'
-          uses: ggml-org/ccache-action@v1.2.21
-          with:
-            key: ubuntu-24-openvino-${{ matrix.variant }}-no-preset-v1
-            evict-old-files: 1d
-            save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-
-        - name: Dependencies
-          id: depends
-          run: |
-            sudo apt-get update
-            sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
-            sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
-
-        - name: Use OpenVINO Toolkit Cache
-          if: runner.environment == 'github-hosted'
-          uses: actions/cache@v5
-          id: cache-openvino
-          with:
-            path: ./openvino_toolkit
-            key: openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
-
-        - name: Setup OpenVINO Toolkit
-          if: steps.cache-openvino.outputs.cache-hit != 'true'
-          uses: ./.github/actions/linux-setup-openvino
-          with:
-            path: ./openvino_toolkit
-            version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
-            version_full: ${{ env.OPENVINO_VERSION_FULL }}
-
-        - name: Install OpenVINO dependencies
-          run: |
-            cd ./openvino_toolkit
-            chmod +x ./install_dependencies/install_openvino_dependencies.sh
-            echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
-
-        - name: Build
-          id: cmake_build
-          run: |
-            source ./openvino_toolkit/setupvars.sh
-            cmake -B build/ReleaseOV -G Ninja \
-              -DCMAKE_BUILD_TYPE=Release \
-              -DGGML_OPENVINO=ON
-            time cmake --build build/ReleaseOV --config Release -j $(nproc)
-
-        - name: Test
-          id: cmake_test
-          # TODO: fix and re-enable the `test-llama-archs` test below
-          run: |
-            cd ${{ github.workspace }}
-            if [ "${{ matrix.openvino_device }}" = "GPU" ]; then
-              export GGML_OPENVINO_DEVICE=GPU
-            fi
-            ctest --test-dir build/ReleaseOV -L main -E "test-llama-archs" --verbose --timeout 2000
 
   windows-latest:
     runs-on: windows-2025
@@ -893,39 +763,6 @@ jobs:
           cmake --build build --config Release -j %NINJA_JOBS% -t ggml
           cmake --build build --config Release
 
-  windows-latest-sycl:
-    runs-on: windows-2022
-
-    defaults:
-      run:
-        shell: bash
-
-    env:
-      WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/24751ead-ddc5-4479-b9e6-f9fe2ff8b9f2/intel-deep-learning-essentials-2025.2.1.25_offline.exe
-      WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
-      ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.21
-        with:
-          key: windows-latest-sycl
-          variant: ccache
-          evict-old-files: 1d
-          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
-
-      - name: Install
-        run:  |
-          scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
-
-      # TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args
-
-      - name: Build
-        id: cmake_build
-        run:  examples/sycl/win-build-sycl.bat
 
   windows-latest-hip:
     runs-on: windows-2022
@@ -1001,22 +838,14 @@ jobs:
     steps:
       - name: Install dependencies
         run: |
-          sudo apt-get update
-
           # Install necessary packages
-          sudo apt-get install -y libatomic1 libtsan2 gcc-14 g++-14 cmake build-essential libssl-dev wget git-lfs
+          sudo apt-get update
+          sudo apt-get install -y libssl-dev
 
           # Set gcc-14 and g++-14 as the default compilers
           sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
           sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
 
-          if ! which rustc; then
-            # Install Rust stable version
-            sudo apt-get install -y rustup
-            rustup install stable
-            rustup default stable
-          fi
-
           git lfs install
 
       - name: Check environment
@@ -1032,13 +861,12 @@ jobs:
         id: checkout
         uses: actions/checkout@v6
 
-      # FIXME: Enable when ggml-org/ccache-action works on riscv64
-      # - name: ccache
-      #   uses: ggml-org/ccache-action@v1.2.21
-      #   with:
-      #     key: ubuntu-cpu-riscv64-native
-      #     evict-old-files: 1d
-      #     save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+      - name: ccache
+        uses: ggml-org/ccache-action@afde29e5b5422e5da23cb1f639e8baecadeadfc3 # https://github.com/ggml-org/ccache-action/pull/1
+        with:
+          key: ubuntu-cpu-riscv64-native
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
 
       - name: Build
         id: cmake_build
diff --git a/.github/workflows/close-issue.yml b/.github/workflows/close-issue.yml
index ec3df08b2..4698cee55 100644
--- a/.github/workflows/close-issue.yml
+++ b/.github/workflows/close-issue.yml
@@ -17,7 +17,7 @@ jobs:
     steps:
       - uses: actions/stale@v10
         with:
-          exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap"
+          exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap,security"
           days-before-issue-stale: 30
           days-before-issue-close: 14
           stale-issue-label: "stale"
diff --git a/.github/workflows/gguf-publish.yml b/.github/workflows/gguf-publish.yml
index a1fba046a..fb8eab3cd 100644
--- a/.github/workflows/gguf-publish.yml
+++ b/.github/workflows/gguf-publish.yml
@@ -29,10 +29,10 @@ jobs:
       uses: actions/setup-python@v6
       with:
         python-version: '3.11'
+        pip-install: poetry==2.4.0
     - name: Install dependencies
       run: |
         cd gguf-py
-        python -m pip install poetry==2.3.2
         poetry install
 
     - name: Build package
diff --git a/.github/workflows/python-type-check.yml b/.github/workflows/python-type-check.yml
index dc7aebe24..2d3fa163d 100644
--- a/.github/workflows/python-type-check.yml
+++ b/.github/workflows/python-type-check.yml
@@ -31,7 +31,7 @@ jobs:
         uses: actions/setup-python@v6
         with:
           python-version: "3.11"
-          pip-install: -r requirements/requirements-all.txt ty==0.0.26
+          pip-install: -r requirements/requirements-all.txt ty==0.0.33
       # - name: Type-check with Pyright
       #   uses: jakebailey/pyright-action@v2
       #   with:
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 3b49ead96..924f6cd3f 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -36,55 +36,26 @@ env:
   CMAKE_ARGS: "-DLLAMA_BUILD_EXAMPLES=OFF -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_TOOLS=ON -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON"
 
 jobs:
-  macOS-arm64:
-    runs-on: macos-14
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-
-      - name: ccache
-        uses: ggml-org/ccache-action@v1.2.21
-        with:
-          key: macOS-latest-arm64
-          evict-old-files: 1d
-
-      - name: Build
-        id: cmake_build
-        run: |
-          sysctl -a
-          cmake -B build \
-            -DCMAKE_INSTALL_RPATH='@loader_path' \
-            -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
-            -DLLAMA_FATAL_WARNINGS=ON \
-            -DLLAMA_BUILD_BORINGSSL=ON \
-            -DGGML_METAL_USE_BF16=ON \
-            -DGGML_METAL_EMBED_LIBRARY=ON \
-            -DGGML_RPC=ON \
-            ${{ env.CMAKE_ARGS }}
-          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
-
-      - name: Determine tag name
-        id: tag
-        uses: ./.github/actions/get-tag-name
-
-      - name: Pack artifacts
-        id: pack_artifacts
-        run: |
-          cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
-
-      - name: Upload artifacts
-        uses: actions/upload-artifact@v6
-        with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz
-          name: llama-bin-macos-arm64.tar.gz
+  macOS-cpu:
+    strategy:
+      matrix:
+        include:
+          - build: 'arm64'
+            arch: 'arm64'
+            os: macos-14
+            defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON"
+          - build: 'arm64-kleidiai'
+            arch: 'arm64'
+            os: macos-14
+            defines: "-DGGML_METAL_USE_BF16=ON -DGGML_METAL_EMBED_LIBRARY=ON -DGGML_CPU_KLEIDIAI=ON"
+          - build: 'x64'
+            arch: 'x64'
+            os: macos-15-intel
+            # Metal is disabled on x64 due to intermittent failures with Github runners not having a GPU:
+            # https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
+            defines: "-DGGML_METAL=OFF -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3"
 
-  macOS-x64:
-    runs-on: macos-15-intel
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -96,23 +67,20 @@ jobs:
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: macOS-latest-x64
+          key: macOS-latest-${{ matrix.arch }}
           evict-old-files: 1d
 
       - name: Build
         id: cmake_build
         run: |
           sysctl -a
-          # Metal is disabled due to intermittent failures with Github runners not having a GPU:
-          # https://github.com/ggml-org/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
           cmake -B build \
+            ${{ matrix.defines }} \
             -DCMAKE_INSTALL_RPATH='@loader_path' \
             -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
             -DLLAMA_FATAL_WARNINGS=ON \
             -DLLAMA_BUILD_BORINGSSL=ON \
-            -DGGML_METAL=OFF \
-            -DGGML_RPC=ON \
-            -DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
+            ${{ env.CMAKE_ARGS }}
           cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
       - name: Determine tag name
@@ -123,13 +91,13 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz -s ",./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz
-          name: llama-bin-macos-x64.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-macos-${{ matrix.build }}.tar.gz
+          name: llama-bin-macos-${{ matrix.build }}.tar.gz
 
   ubuntu-cpu:
     strategy:
@@ -234,7 +202,7 @@ jobs:
             sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
           else
             sudo apt-get update -y
-            sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev libssl-dev ninja-build
+            sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
             echo "CC=gcc-14" >> "$GITHUB_ENV"
             echo "CXX=g++-14" >> "$GITHUB_ENV"
           fi
@@ -268,6 +236,75 @@ jobs:
           path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
           name: llama-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
 
+  android-arm64:
+    runs-on: ubuntu-latest
+
+    env:
+      NDK_VERSION: "29.0.14206865"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: android-arm64
+          evict-old-files: 1d
+
+      - name: Set up JDK
+        uses: actions/setup-java@v5
+        with:
+          java-version: 17
+          distribution: temurin
+
+      - name: Setup Android SDK
+        uses: android-actions/setup-android@40fd30fb8d7440372e1316f5d1809ec01dcd3699 # v4.0.1
+        with:
+          log-accepted-android-sdk-licenses: false
+
+      - name: Install NDK
+        run: |
+          sdkmanager "ndk;${{ env.NDK_VERSION }}"
+          echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
+
+      - name: Build
+        id: cmake_build
+        run: |
+          cmake -B build \
+            -DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
+            -DANDROID_ABI=arm64-v8a \
+            -DANDROID_PLATFORM=android-28 \
+            -DCMAKE_INSTALL_RPATH='$ORIGIN' \
+            -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
+            -DGGML_BACKEND_DL=ON \
+            -DGGML_NATIVE=OFF \
+            -DGGML_CPU_ALL_VARIANTS=ON \
+            -DLLAMA_FATAL_WARNINGS=ON \
+            -DGGML_OPENMP=OFF \
+            -DLLAMA_BUILD_BORINGSSL=ON \
+            ${{ env.CMAKE_ARGS }}
+          cmake --build build --config Release -j $(nproc)
+
+      - name: Determine tag name
+        id: tag
+        uses: ./.github/actions/get-tag-name
+
+      - name: Pack artifacts
+        id: pack_artifacts
+        run: |
+          cp LICENSE ./build/bin/
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v6
+        with:
+          path: llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz
+          name: llama-bin-android-arm64.tar.gz
+
   ubuntu-24-openvino:
     runs-on: ubuntu-24.04
 
@@ -561,15 +598,29 @@ jobs:
         shell: bash
 
     env:
-      WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/24751ead-ddc5-4479-b9e6-f9fe2ff8b9f2/intel-deep-learning-essentials-2025.2.1.25_offline.exe
+      WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b60765d1-2b85-4e85-86b6-cb0e9563a699/intel-deep-learning-essentials-2025.3.3.18_offline.exe
       WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel
       ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
 
     steps:
       - name: Clone
         id: checkout
         uses: actions/checkout@v6
 
+      - name: Use oneAPI Installation Cache
+        uses: actions/cache@v5
+        id: cache-sycl
+        with:
+          path: ${{ env.ONEAPI_ROOT }}
+          key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
+
+      - name: Download & Install oneAPI
+        shell: bash
+        if: steps.cache-sycl.outputs.cache-hit != 'true'
+        run: |
+          scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
+
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
@@ -577,10 +628,6 @@ jobs:
           variant: ccache
           evict-old-files: 1d
 
-      - name: Install
-        run:  |
-          scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL
-
       - name: Build
         id: cmake_build
         shell: cmd
@@ -633,6 +680,82 @@ jobs:
           path: llama-bin-win-sycl-x64.zip
           name: llama-bin-win-sycl-x64.zip
 
+  ubuntu-24-sycl:
+    strategy:
+      matrix:
+        build: [fp32, fp16]
+        include:
+          - build: fp32
+            fp16: OFF
+          - build: fp16
+            fp16: ON
+
+    runs-on: ubuntu-24.04
+
+    env:
+      ONEAPI_ROOT: /opt/intel/oneapi/
+      ONEAPI_INSTALLER_VERSION: "2025.3.3"
+
+    steps:
+      - name: Clone
+        id: checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Use oneAPI Installation Cache
+        uses: actions/cache@v5
+        id: cache-sycl
+        with:
+          path: ${{ env.ONEAPI_ROOT }}
+          key: oneAPI-${{ env.ONEAPI_INSTALLER_VERSION }}-${{ runner.os }}
+
+      - name: Download & Install oneAPI
+        shell: bash
+        if: steps.cache-sycl.outputs.cache-hit != 'true'
+        run: |
+          cd /tmp
+          wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/56f7923a-adb8-43f3-8b02-2b60fcac8cab/intel-deep-learning-essentials-2025.3.3.16_offline.sh -O intel-deep-learning-essentials_offline.sh
+          sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept
+
+      - name: ccache
+        uses: ggml-org/ccache-action@v1.2.21
+        with:
+          key: ubuntu-24-sycl-${{ matrix.build }}
+          evict-old-files: 1d
+          save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
+
+      - name: Build
+        id: cmake_build
+        run: |
+          source /opt/intel/oneapi/setvars.sh
+          cmake -B build \
+            -G "Ninja" \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DGGML_SYCL=ON \
+            -DCMAKE_C_COMPILER=icx \
+            -DCMAKE_CXX_COMPILER=icpx \
+            -DLLAMA_OPENSSL=OFF \
+            -DGGML_NATIVE=OFF \
+            -DGGML_SYCL_F16=${{ matrix.fp16 }}
+          time cmake --build build --config Release -j $(nproc)
+
+      - name: Determine tag name
+        id: tag
+        uses: ./.github/actions/get-tag-name
+
+      - name: Pack artifacts
+        id: pack_artifacts
+        run: |
+          cp LICENSE ./build/bin/
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v6
+        with:
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz
+          name: llama-bin-ubuntu-sycl-${{ matrix.build }}-x64.tar.gz
+
   ubuntu-22-rocm:
     runs-on: ubuntu-22.04
 
@@ -650,6 +773,11 @@ jobs:
         with:
           fetch-depth: 0
 
+      - name: Free up disk space
+        uses: ggml-org/free-disk-space@v1.3.1
+        with:
+          tool-cache: true
+
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
@@ -1003,8 +1131,9 @@ jobs:
       - ubuntu-cpu
       - ubuntu-vulkan
       - ubuntu-24-openvino
-      - macOS-arm64
-      - macOS-x64
+      - ubuntu-24-sycl
+      - android-arm64
+      - macOS-cpu
       - ios-xcode-build
       - openEuler-cann
 
@@ -1079,6 +1208,7 @@ jobs:
 
             **macOS/iOS:**
             - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz)
+            - [macOS Apple Silicon (arm64, KleidiAI enabled)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64-kleidiai.tar.gz)
             - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz)
             - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-xcframework.zip)
 
@@ -1090,6 +1220,11 @@ jobs:
             - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-arm64.tar.gz)
             - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
             - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz)
+            - [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp32-x64.tar.gz)
+            - [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp16-x64.tar.gz)
+
+            **Android:**
+            - [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz)
 
             **Windows:**
             - [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
diff --git a/.github/workflows/server-self-hosted.yml b/.github/workflows/server-self-hosted.yml
index 29bd79690..4b9f4b631 100644
--- a/.github/workflows/server-self-hosted.yml
+++ b/.github/workflows/server-self-hosted.yml
@@ -84,41 +84,42 @@ jobs:
           export ${{ matrix.extra_args }}
           pytest -v -x -m "not slow"
 
-  server-cuda:
-    runs-on: [self-hosted, llama-server, Linux, NVIDIA]
-
-    name: server-cuda (${{ matrix.wf_name }})
-    strategy:
-      matrix:
-        build_type: [Release]
-        wf_name: ["GPUx1"]
-        include:
-          - build_type: Release
-            extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1"
-            wf_name:    "GPUx1, backend-sampling"
-      fail-fast: false
-
-    steps:
-      - name: Clone
-        id: checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-          ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
-
-      - name: Build
-        id: cmake_build
-        run: |
-          cmake -B build -DGGML_SCHED_NO_REALLOC=ON
-          cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server
-
-      - name: Tests
-        id: server_integration_tests
-        if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
-        run: |
-          cd tools/server/tests
-          python3 -m venv venv
-          source venv/bin/activate
-          pip install -r requirements.txt
-          export ${{ matrix.extra_args }}
-          pytest -v -x -m "not slow"
+  # TODO: provision CUDA runner
+  #  server-cuda:
+  #    runs-on: [self-hosted, llama-server, Linux, NVIDIA]
+  #
+  #    name: server-cuda (${{ matrix.wf_name }})
+  #    strategy:
+  #      matrix:
+  #        build_type: [Release]
+  #        wf_name: ["GPUx1"]
+  #        include:
+  #          - build_type: Release
+  #            extra_args: "LLAMA_ARG_BACKEND_SAMPLING=1"
+  #            wf_name:    "GPUx1, backend-sampling"
+  #      fail-fast: false
+  #
+  #    steps:
+  #      - name: Clone
+  #        id: checkout
+  #        uses: actions/checkout@v6
+  #        with:
+  #          fetch-depth: 0
+  #          ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
+  #
+  #      - name: Build
+  #        id: cmake_build
+  #        run: |
+  #          cmake -B build -DGGML_SCHED_NO_REALLOC=ON
+  #          cmake --build build --config ${{ matrix.build_type }} -j $(sysctl -n hw.logicalcpu) --target llama-server
+  #
+  #      - name: Tests
+  #        id: server_integration_tests
+  #        if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
+  #        run: |
+  #          cd tools/server/tests
+  #          python3 -m venv venv
+  #          source venv/bin/activate
+  #          pip install -r requirements.txt
+  #          export ${{ matrix.extra_args }}
+  #          pytest -v -x -m "not slow"
diff --git a/.gitignore b/.gitignore
index 15dc4014f..417e591db 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,7 +34,6 @@
 /.vscode/
 /nppBackup
 
-
 # Coverage
 
 /gcovr-report/
@@ -74,6 +73,7 @@
 !/models/templates
 
 # Zig
+
 /zig-out/
 /zig-cache/
 
@@ -93,6 +93,7 @@
 !/examples/sycl/*.sh
 
 # Server Web UI temporary files
+
 /tools/server/webui/node_modules
 /tools/server/webui/dist
 # we no longer use gz for index.html
@@ -104,11 +105,15 @@
 __pycache__/
 */poetry.lock
 poetry.toml
+poetry.lock
+uv.lock
 
 # Nix
+
 /result
 
 # Test binaries
+
 /tests/test-backend-ops
 /tests/test-double-float
 /tests/test-grad0
@@ -124,6 +129,7 @@ poetry.toml
 /tests/test-tokenizer-1-spm
 
 # Scripts
+
 !/scripts/install-oneapi.bat
 
 # Generated by scripts
@@ -132,16 +138,24 @@ poetry.toml
 /wikitext-2-raw/
 
 # Test models for lora adapters
+
 /lora-tests
 
 # Local scripts
+
 /run-vim.sh
 /run-chat.sh
 /run-spec.sh
 /.ccache/
 
 # IDE
+
 /*.code-workspace
 /.windsurf/
 # emscripten
 a.out.*
+
+# AGENTS
+
+AGENTS.local.md
+.pi/SYSTEM.md
diff --git a/.pi/gg/SYSTEM.md b/.pi/gg/SYSTEM.md
new file mode 100644
index 000000000..727a850b1
--- /dev/null
+++ b/.pi/gg/SYSTEM.md
@@ -0,0 +1,34 @@
+You are a coding agent. Here are some very important rules that you must follow:
+
+General:
+- By very precise and concise when writing code, comments, explanations, etc.
+- PR and commit titles format: `<module> : <title>`. Lookup recents for examples
+- Don't try to build or run the code unless you are explicitly asked to do so
+- Use the `gh` CLI tool when querying PRs, issues, or other GitHub resources
+
+Coding:
+- When in doubt, always refer to the CONTRIBUTING.md file of the project
+- When referencing issues or PRs in comments, use the format:
+  - C/C++ code: `// ref: <url>`
+  - Other (CMake, etc.): `# ref: <url>`
+
+Pull requests (PRs):
+- New branch names are prefixed with "gg/"
+- Before opening a pull request, ask the user to confirm the description
+- When creating a pull request, look for the repository's PR template and follow it
+- For the AI usage disclosure section, write "YES. llama.cpp + pi"
+- Always create the pull requests in draft mode
+
+Commits:
+- On every commit that you make, include a "Assisted-by: llama.cpp:local pi" tag
+- Do not explicitly set the git author in commits - rely on the default git config
+
+Resources (read on demand):
+- [CONTRIBUTING.md](CONTRIBUTING.md)
+- [Build documentation](docs/build.md)
+- [Server usage documentation](tools/server/README.md)
+- [Server development documentation](tools/server/README-dev.md)
+- [PEG parser](docs/development/parsing.md)
+- [Auto parser](docs/autoparser.md)
+- [Jinja engine](common/jinja/README.md)
+- [PR template](.github/pull_request_template.md)
diff --git a/CMakeLists.txt b/CMakeLists.txt
index caea48c50..310a3dcfd 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -225,7 +225,7 @@ foreach(FILE_PATH ${EXTRA_LICENSES})
 endforeach()
 
 if (LLAMA_BUILD_COMMON)
-    license_generate(common)
+    license_generate(llama-common)
 endif()
 
 #
@@ -249,6 +249,10 @@ set_target_properties(llama
 
 install(TARGETS llama LIBRARY PUBLIC_HEADER)
 
+if (LLAMA_BUILD_COMMON)
+    install(TARGETS llama-common LIBRARY)
+endif()
+
 configure_package_config_file(
         ${CMAKE_CURRENT_SOURCE_DIR}/cmake/llama-config.cmake.in
         ${CMAKE_CURRENT_BINARY_DIR}/llama-config.cmake
diff --git a/CODEOWNERS b/CODEOWNERS
index a242b2117..a4395969f 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,5 +1,21 @@
 # collaborators can optionally add themselves here to indicate their availability for reviewing related PRs
-# multiplie collaborators per item can be specified
+# multiple collaborators per item can be specified
+#
+# ggml-org/ci               : CISC, danbev, ggerganov, netrunnereve, ngxson, taronaeo
+# ggml-org/ggml-cann        : hipudding
+# ggml-org/ggml-cuda        : JohannesGaessler, am17an, IMbackK, ORippler
+# ggml-org/ggml-hexagon     : lhez, max-krasnyansky
+# ggml-org/ggml-metal       : ggerganov
+# ggml-org/ggml-opencl      : lhez, max-krasnyansky
+# ggml-org/ggml-rpc         : rgerganov
+# ggml-org/ggml-sycl        : arthw
+# ggml-org/ggml-vulkan      : 0cc4m, jeffbolznv
+# ggml-org/ggml-webgpu      : reeselevine
+# ggml-org/ggml-zdnn        : taronaeo
+# ggml-org/llama-common     : ggerganov, aldehir, angt, danbev, ngxson, pwilkin
+# ggml-org/llama-mtmd       : ngxson
+# ggml-org/llama-server     : ggerganov, ngxson, allozaur, angt, ServeurpersoCom
+# ggml-org/llama-webui      : allozaur
 
 /.devops/*.Dockerfile                   @ngxson
 /.github/actions/                       @ggml-org/ci
@@ -7,6 +23,7 @@
 /ci/                                    @ggerganov
 /cmake/                                 @ggerganov
 /common/                                @ggml-org/llama-common
+/common/fit.*                           @JohannesGaessler
 /common/jinja/                          @CISC
 /common/ngram-map.*                     @srogmann
 /convert_*.py                           @CISC
@@ -36,28 +53,30 @@
 /examples/speculative/                  @ggerganov
 /ggml/cmake/                            @ggerganov
 /ggml/include/                          @ggerganov
+/ggml/src/ggml-backend-meta.cpp         @JohannesGaessler
 /ggml/src/ggml-cann/                    @ggml-org/ggml-cann
 /ggml/src/ggml-common.h                 @ggerganov
 /ggml/src/ggml-cpu/                     @ggerganov
 /ggml/src/ggml-cpu/spacemit/            @alex-spacemit
 /ggml/src/ggml-cuda/                    @ggml-org/ggml-cuda
+/ggml/src/ggml-cuda/vendors/hip.h       @IMbackK
 /ggml/src/ggml-cuda/fattn-wmma*         @IMbackK
+/ggml/src/ggml-hexagon/                 @ggml-org/ggml-hexagon
 /ggml/src/ggml-hip/                     @IMbackK
-/ggml/src/ggml-cuda/vendors/hip.h       @IMbackK
 /ggml/src/ggml-impl.h                   @ggerganov
 /ggml/src/ggml-metal/                   @ggml-org/ggml-metal
 /ggml/src/ggml-opencl/                  @ggml-org/ggml-opencl
-/ggml/src/ggml-hexagon/                 @ggml-org/ggml-hexagon
+/ggml/src/ggml-openvino/                @cavusmustafa @wine99
 /ggml/src/ggml-opt.cpp                  @JohannesGaessler
 /ggml/src/ggml-quants.*                 @ggerganov
 /ggml/src/ggml-rpc/                     @ggml-org/ggml-rpc
 /ggml/src/ggml-sycl/                    @ggml-org/ggml-sycl
 /ggml/src/ggml-threading.*              @ggerganov
-/ggml/src/ggml-vulkan/                  @ggml-org/ggml-vulkan
 /ggml/src/ggml-virtgpu/                 @kpouget
+/ggml/src/ggml-vulkan/                  @ggml-org/ggml-vulkan
 /ggml/src/ggml-webgpu/                  @ggml-org/ggml-webgpu
 /ggml/src/ggml-zdnn/                    @ggml-org/ggml-zdnn @Andreas-Krebbel @AlekseiNikiforovIBM
-/ggml/src/ggml-openvino/                @cavusmustafa @wine99
+/ggml/src/ggml-zendnn/                  @avinashcpandey @Jiten1parmar @z-vishal
 /ggml/src/ggml.c                        @ggerganov
 /ggml/src/ggml.cpp                      @ggerganov
 /ggml/src/gguf.cpp                      @JohannesGaessler @Green-Sky
diff --git a/cmake/arm64-linux-clang.cmake b/cmake/arm64-linux-clang.cmake
new file mode 100644
index 000000000..f16e280ec
--- /dev/null
+++ b/cmake/arm64-linux-clang.cmake
@@ -0,0 +1,17 @@
+set( CMAKE_SYSTEM_NAME Linux )
+set( CMAKE_SYSTEM_PROCESSOR arm64 )
+
+set( target aarch64-linux-gnu )
+
+set( CMAKE_C_COMPILER    clang )
+set( CMAKE_CXX_COMPILER  clang++ )
+
+set( CMAKE_C_COMPILER_TARGET   ${target} )
+set( CMAKE_CXX_COMPILER_TARGET ${target} )
+
+set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast -fno-finite-math-only" )
+set( warn_c_flags "-Wno-format -Wno-unused-variable -Wno-unused-function -Wno-gnu-zero-variadic-macro-arguments" )
+
+set( CMAKE_C_FLAGS_INIT   "${arch_c_flags} ${warn_c_flags}" )
+set( CMAKE_CXX_FLAGS_INIT "${arch_c_flags} ${warn_c_flags}" )
+
diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt
index b313a7320..1a56c2585 100644
--- a/common/CMakeLists.txt
+++ b/common/CMakeLists.txt
@@ -1,9 +1,11 @@
-# common
-
 find_package(Threads REQUIRED)
 
 llama_add_compile_flags()
 
+#
+# llama-common-base
+#
+
 # Build info header
 
 if(EXISTS "${PROJECT_SOURCE_DIR}/.git")
@@ -33,17 +35,25 @@ endif()
 
 set(TEMPLATE_FILE "${CMAKE_CURRENT_SOURCE_DIR}/build-info.cpp.in")
 set(OUTPUT_FILE   "${CMAKE_CURRENT_BINARY_DIR}/build-info.cpp")
+
 configure_file(${TEMPLATE_FILE} ${OUTPUT_FILE})
 
-set(TARGET build_info)
-add_library(${TARGET} OBJECT ${OUTPUT_FILE})
+set(TARGET llama-common-base)
+add_library(${TARGET} STATIC ${OUTPUT_FILE})
+
+target_include_directories(${TARGET} PUBLIC .)
+
 if (BUILD_SHARED_LIBS)
     set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
 endif()
 
-set(TARGET common)
+#
+# llama-common
+#
 
-add_library(${TARGET} STATIC
+set(TARGET llama-common)
+
+add_library(${TARGET}
     arg.cpp
     arg.h
     base64.hpp
@@ -63,6 +73,8 @@ add_library(${TARGET} STATIC
     debug.h
     download.cpp
     download.h
+    fit.cpp
+    fit.h
     hf-cache.cpp
     hf-cache.h
     http.h
@@ -106,17 +118,24 @@ add_library(${TARGET} STATIC
     jinja/caps.h
     )
 
+set_target_properties(${TARGET} PROPERTIES
+    VERSION ${LLAMA_INSTALL_VERSION}
+    SOVERSION 0
+    MACHO_CURRENT_VERSION 0 # keep macOS linker from seeing oversized version number
+)
+
 target_include_directories(${TARGET} PUBLIC . ../vendor)
 target_compile_features   (${TARGET} PUBLIC cxx_std_17)
 
 if (BUILD_SHARED_LIBS)
     set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
+
+    # TODO: make fine-grained exports in the future
+    set_target_properties(${TARGET} PROPERTIES WINDOWS_EXPORT_ALL_SYMBOLS ON)
 endif()
 
-target_link_libraries(${TARGET} PRIVATE
-    build_info
-    cpp-httplib
-)
+target_link_libraries(${TARGET} PUBLIC  llama-common-base)
+target_link_libraries(${TARGET} PRIVATE cpp-httplib)
 
 if (LLAMA_LLGUIDANCE)
     include(ExternalProject)
diff --git a/common/arg.cpp b/common/arg.cpp
index a06edb491..1cd853dde 100644
--- a/common/arg.cpp
+++ b/common/arg.cpp
@@ -1,5 +1,6 @@
 #include "arg.h"
 
+#include "build-info.h"
 #include "chat.h"
 #include "common.h"
 #include "download.h"
@@ -96,8 +97,13 @@ common_arg & common_arg::set_env(const char * env) {
     return *this;
 }
 
-common_arg & common_arg::set_sparam() {
-    is_sparam = true;
+common_arg & common_arg::set_sampling() {
+    is_sampling = true;
+    return *this;
+}
+
+common_arg & common_arg::set_spec() {
+    is_spec = true;
     return *this;
 }
 
@@ -242,6 +248,8 @@ std::vector<std::string> common_arg::get_env() const {
 
 // Helper function to parse tensor buffer override strings
 static void parse_tensor_buffer_overrides(const std::string & value, std::vector<llama_model_tensor_buft_override> & overrides) {
+    ggml_backend_load_all();
+
     std::map<std::string, ggml_backend_buffer_type_t> buft_list;
     for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
         auto * dev = ggml_backend_dev_get(i);
@@ -291,14 +299,16 @@ static bool common_params_handle_remote_preset(common_params & params, llama_exa
         hf_tag = "default";
     }
 
-    const bool offline = params.offline;
-    std::string model_endpoint = get_model_endpoint();
+    std::string model_endpoint = common_get_model_endpoint();
     auto preset_url = model_endpoint + hf_repo + "/resolve/main/preset.ini";
 
     // prepare local path for caching
     auto preset_fname = clean_file_name(hf_repo + "_preset.ini");
     auto preset_path = fs_get_cache_file(preset_fname);
-    const int status = common_download_file_single(preset_url, preset_path, params.hf_token, offline);
+    common_download_opts opts;
+    opts.bearer_token = params.hf_token;
+    opts.offline = params.offline;
+    const int status = common_download_file_single(preset_url, preset_path, opts);
     const bool has_preset = status >= 200 && status < 400;
 
     // remote preset is optional, so we don't error out if not found
@@ -341,10 +351,10 @@ static handle_model_result common_params_handle_model(struct common_params_model
             model.hf_file = model.path;
             model.path = "";
         }
-        common_download_model_opts opts;
-        opts.download_mmproj = true;
+        common_download_opts opts;
+        opts.bearer_token = bearer_token;
         opts.offline = offline;
-        auto download_result = common_download_model(model, bearer_token, opts);
+        auto download_result = common_download_model(model, opts, true);
 
         if (download_result.model_path.empty()) {
             LOG_ERR("error: failed to download model from Hugging Face\n");
@@ -365,9 +375,10 @@ static handle_model_result common_params_handle_model(struct common_params_model
             model.path = fs_get_cache_file(string_split<std::string>(f, '/').back());
         }
 
-        common_download_model_opts opts;
+        common_download_opts opts;
+        opts.bearer_token = bearer_token;
         opts.offline = offline;
-        auto download_result = common_download_model(model, bearer_token, opts);
+        auto download_result = common_download_model(model, opts);
         if (download_result.model_path.empty()) {
             LOG_ERR("error: failed to download model from %s\n", model.url.c_str());
             exit(1);
@@ -419,6 +430,10 @@ static bool parse_bool_value(const std::string & value) {
     }
 }
 
+[[noreturn]] static void arg_removed(const std::string & msg) {
+    throw std::invalid_argument("the argument has been removed. " + msg);
+}
+
 //
 // CLI argument parsing functions
 //
@@ -567,8 +582,8 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
     postprocess_cpu_params(params.cpuparams,       nullptr);
     postprocess_cpu_params(params.cpuparams_batch, &params.cpuparams);
 
-    postprocess_cpu_params(params.speculative.cpuparams,       &params.cpuparams);
-    postprocess_cpu_params(params.speculative.cpuparams_batch, &params.cpuparams_batch);
+    postprocess_cpu_params(params.speculative.draft.cpuparams,       &params.cpuparams);
+    postprocess_cpu_params(params.speculative.draft.cpuparams_batch, &params.cpuparams_batch);
 
     if (params.prompt_cache_all && (params.interactive || params.interactive_first)) {
         throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
@@ -605,8 +620,8 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
                 break;
             }
         }
-        common_params_handle_model(params.speculative.mparams_dft, params.hf_token, params.offline);
-        common_params_handle_model(params.vocoder.model,           params.hf_token, params.offline);
+        common_params_handle_model(params.speculative.draft.mparams, params.hf_token, params.offline);
+        common_params_handle_model(params.vocoder.model,             params.hf_token, params.offline);
     }
 
     // model is required (except for server)
@@ -625,7 +640,7 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
         for (auto & seq_breaker : params.sampling.dry_sequence_breakers) {
             string_process_escapes(seq_breaker);
         }
-        for (auto & pair : params.speculative.replacements) {
+        for (auto & pair : params.speculative.draft.replacements) {
             string_process_escapes(pair.first);
             string_process_escapes(pair.second);
         }
@@ -642,8 +657,8 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
         params.tensor_buft_overrides.push_back({nullptr, nullptr});
     }
 
-    if (!params.speculative.tensor_buft_overrides.empty()) {
-        params.speculative.tensor_buft_overrides.push_back({nullptr, nullptr});
+    if (!params.speculative.draft.tensor_buft_overrides.empty()) {
+        params.speculative.draft.tensor_buft_overrides.push_back({nullptr, nullptr});
     }
 
     if (!params.chat_template.empty() && !common_chat_verify_template(params.chat_template, params.use_jinja)) {
@@ -665,12 +680,15 @@ static void common_params_print_usage(common_params_context & ctx_arg) {
     };
 
     std::vector<common_arg *> common_options;
-    std::vector<common_arg *> sparam_options;
+    std::vector<common_arg *> sampling_options;
+    std::vector<common_arg *> spec_options;
     std::vector<common_arg *> specific_options;
     for (auto & opt : ctx_arg.options) {
         // in case multiple LLAMA_EXAMPLE_* are set, we prioritize the LLAMA_EXAMPLE_* matching current example
-        if (opt.is_sparam) {
-            sparam_options.push_back(&opt);
+        if (opt.is_sampling) {
+            sampling_options.push_back(&opt);
+        } else if (opt.is_spec) {
+            spec_options.push_back(&opt);
         } else if (opt.in_example(ctx_arg.ex)) {
             specific_options.push_back(&opt);
         } else {
@@ -680,7 +698,9 @@ static void common_params_print_usage(common_params_context & ctx_arg) {
     printf("----- common params -----\n\n");
     print_options(common_options);
     printf("\n\n----- sampling params -----\n\n");
-    print_options(sparam_options);
+    print_options(sampling_options);
+    printf("\n\n----- speculative params -----\n\n");
+    print_options(spec_options);
     // TODO: maybe convert enum llama_example to string
     printf("\n\n----- example-specific params -----\n\n");
     print_options(specific_options);
@@ -688,12 +708,15 @@ static void common_params_print_usage(common_params_context & ctx_arg) {
 
 static void common_params_print_completion(common_params_context & ctx_arg) {
     std::vector<common_arg *> common_options;
-    std::vector<common_arg *> sparam_options;
+    std::vector<common_arg *> sampling_options;
+    std::vector<common_arg *> spec_options;
     std::vector<common_arg *> specific_options;
 
     for (auto & opt : ctx_arg.options) {
-        if (opt.is_sparam) {
-            sparam_options.push_back(&opt);
+        if (opt.is_sampling) {
+            sampling_options.push_back(&opt);
+        } else if (opt.is_spec) {
+            spec_options.push_back(&opt);
         } else if (opt.in_example(ctx_arg.ex)) {
             specific_options.push_back(&opt);
         } else {
@@ -717,7 +740,8 @@ static void common_params_print_completion(common_params_context & ctx_arg) {
     };
 
     print_options(common_options);
-    print_options(sparam_options);
+    print_options(sampling_options);
+    print_options(spec_options);
     print_options(specific_options);
     printf("\"\n\n");
 
@@ -803,6 +827,7 @@ static std::vector<ggml_backend_dev_t> parse_device_list(const std::string & val
     if (dev_names.size() == 1 && dev_names[0] == "none") {
         devices.push_back(nullptr);
     } else {
+        ggml_backend_load_all();
         for (const auto & device : dev_names) {
             auto * dev = ggml_backend_dev_by_name(device.c_str());
             if (!dev || ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
@@ -820,6 +845,7 @@ static void add_rpc_devices(const std::string & servers) {
     if (rpc_servers.empty()) {
         throw std::invalid_argument("no RPC servers specified");
     }
+    ggml_backend_load_all();
     ggml_backend_reg_t rpc_reg = ggml_backend_reg_by_name("RPC");
     if (!rpc_reg) {
         throw std::invalid_argument("failed to find RPC backend");
@@ -1016,9 +1042,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
 
     params.use_color = tty_can_use_colors();
 
-    // load dynamic backends
-    ggml_backend_load_all();
-
     common_params_context ctx_arg(params);
     ctx_arg.print_usage = print_usage;
     ctx_arg.ex          = ex;
@@ -1059,8 +1082,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"--version"},
         "show version and build info",
         [](common_params &) {
-            fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
-            fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
+            fprintf(stderr, "version: %d (%s)\n", llama_build_number(), llama_commit());
+            fprintf(stderr, "built with %s for %s\n", llama_compiler(), llama_build_target());
             exit(0);
         }
     ));
@@ -1237,14 +1260,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"-lcs", "--lookup-cache-static"}, "FNAME",
         "path to static lookup cache to use for lookup decoding (not updated by generation)",
         [](common_params & params, const std::string & value) {
-            params.speculative.lookup_cache_static = value;
+            params.speculative.ngram_cache.lookup_cache_static = value;
         }
     ).set_examples({LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER}));
     add_opt(common_arg(
         {"-lcd", "--lookup-cache-dynamic"}, "FNAME",
         "path to dynamic lookup cache to use for lookup decoding (updated by generation)",
         [](common_params & params, const std::string & value) {
-            params.speculative.lookup_cache_dynamic = value;
+            params.speculative.ngram_cache.lookup_cache_dynamic = value;
         }
     ).set_examples({LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER}));
     add_opt(common_arg(
@@ -1330,13 +1353,13 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_env("LLAMA_ARG_KV_UNIFIED").set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_PERPLEXITY, LLAMA_EXAMPLE_BATCHED, LLAMA_EXAMPLE_BENCH, LLAMA_EXAMPLE_PARALLEL}));
     add_opt(common_arg(
-        {"--clear-idle"},
-        {"--no-clear-idle"},
+        {"--cache-idle-slots"},
+        {"--no-cache-idle-slots"},
         "save and clear idle slots on new task (default: enabled, requires unified KV and cache-ram)",
         [](common_params & params, bool value) {
-            params.clear_idle = value;
+            params.cache_idle_slots = value;
         }
-    ).set_env("LLAMA_ARG_CLEAR_IDLE").set_examples({LLAMA_EXAMPLE_SERVER}));
+    ).set_env("LLAMA_ARG_CACHE_IDLE_SLOTS").set_examples({LLAMA_EXAMPLE_SERVER}));
     add_opt(common_arg(
         {"--context-shift"},
         {"--no-context-shift"},
@@ -1590,28 +1613,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.samplers = common_sampler_types_from_names(sampler_names, true);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_SAMPLERS;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"-s", "--seed"}, "SEED",
         string_format("RNG seed (default: %d, use random seed for %d)", params.sampling.seed, LLAMA_DEFAULT_SEED),
         [](common_params & params, const std::string & value) {
             params.sampling.seed = std::stoul(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--sampler-seq", "--sampling-seq"}, "SEQUENCE",
         string_format("simplified sequence for samplers that will be used (default: %s)", sampler_type_chars.c_str()),
         [](common_params & params, const std::string & value) {
             params.sampling.samplers = common_sampler_types_from_chars(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--ignore-eos"},
         "ignore end of stream token and continue generating (implies --logit-bias EOS-inf)",
         [](common_params & params) {
             params.sampling.ignore_eos = true;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--temp", "--temperature"}, "N",
         string_format("temperature (default: %.2f)", (double)params.sampling.temp),
@@ -1620,7 +1643,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.temp = std::max(params.sampling.temp, 0.0f);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TEMP;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--top-k"}, "N",
         string_format("top-k sampling (default: %d, 0 = disabled)", params.sampling.top_k),
@@ -1628,7 +1651,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.top_k = value;
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TOP_K;
         }
-    ).set_sparam().set_env("LLAMA_ARG_TOP_K"));
+    ).set_sampling().set_env("LLAMA_ARG_TOP_K"));
     add_opt(common_arg(
         {"--top-p"}, "N",
         string_format("top-p sampling (default: %.2f, 1.0 = disabled)", (double)params.sampling.top_p),
@@ -1636,7 +1659,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.top_p = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TOP_P;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--min-p"}, "N",
         string_format("min-p sampling (default: %.2f, 0.0 = disabled)", (double)params.sampling.min_p),
@@ -1644,14 +1667,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.min_p = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIN_P;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--top-nsigma", "--top-n-sigma"}, "N",
         string_format("top-n-sigma sampling (default: %.2f, -1.0 = disabled)", params.sampling.top_n_sigma),
         [](common_params & params, const std::string & value) {
             params.sampling.top_n_sigma = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--xtc-probability"}, "N",
         string_format("xtc probability (default: %.2f, 0.0 = disabled)", (double)params.sampling.xtc_probability),
@@ -1659,7 +1682,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.xtc_probability = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_XTC_PROBABILITY;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--xtc-threshold"}, "N",
         string_format("xtc threshold (default: %.2f, 1.0 = disabled)", (double)params.sampling.xtc_threshold),
@@ -1667,14 +1690,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.xtc_threshold = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_XTC_THRESHOLD;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--typical", "--typical-p"}, "N",
         string_format("locally typical sampling, parameter p (default: %.2f, 1.0 = disabled)", (double)params.sampling.typ_p),
         [](common_params & params, const std::string & value) {
             params.sampling.typ_p = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--repeat-last-n"}, "N",
         string_format("last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)", params.sampling.penalty_last_n),
@@ -1686,7 +1709,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.n_prev = std::max(params.sampling.n_prev, params.sampling.penalty_last_n);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_PENALTY_LAST_N;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--repeat-penalty"}, "N",
         string_format("penalize repeat sequence of tokens (default: %.2f, 1.0 = disabled)", (double)params.sampling.penalty_repeat),
@@ -1694,28 +1717,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.penalty_repeat = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_PENALTY_REPEAT;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--presence-penalty"}, "N",
         string_format("repeat alpha presence penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_present),
         [](common_params & params, const std::string & value) {
             params.sampling.penalty_present = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--frequency-penalty"}, "N",
         string_format("repeat alpha frequency penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_freq),
         [](common_params & params, const std::string & value) {
             params.sampling.penalty_freq = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-multiplier"}, "N",
         string_format("set DRY sampling multiplier (default: %.2f, 0.0 = disabled)", (double)params.sampling.dry_multiplier),
         [](common_params & params, const std::string & value) {
             params.sampling.dry_multiplier = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-base"}, "N",
         string_format("set DRY sampling base value (default: %.2f)", (double)params.sampling.dry_base),
@@ -1726,14 +1749,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 params.sampling.dry_base = potential_base;
             }
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-allowed-length"}, "N",
         string_format("set allowed length for DRY sampling (default: %d)", params.sampling.dry_allowed_length),
         [](common_params & params, int value) {
             params.sampling.dry_allowed_length = value;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-penalty-last-n"}, "N",
         string_format("set DRY penalty for the last n tokens (default: %d, 0 = disable, -1 = context size)", params.sampling.dry_penalty_last_n),
@@ -1743,7 +1766,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
             params.sampling.dry_penalty_last_n = value;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dry-sequence-breaker"}, "STRING",
         string_format("add sequence breaker for DRY sampling, clearing out default breakers (%s) in the process; use \"none\" to not use any sequence breakers\n",
@@ -1769,7 +1792,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 params.sampling.dry_sequence_breakers.emplace_back(value);
             }
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--adaptive-target"}, "N",
         string_format("adaptive-p: select tokens near this probability (valid range 0.0 "
@@ -1779,7 +1802,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, const std::string & value) {
             params.sampling.adaptive_target = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--adaptive-decay"}, "N",
         string_format("adaptive-p: decay rate for target adaptation over time. lower values "
@@ -1789,21 +1812,21 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params, const std::string & value) {
             params.sampling.adaptive_decay = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dynatemp-range"}, "N",
         string_format("dynamic temperature range (default: %.2f, 0.0 = disabled)", (double)params.sampling.dynatemp_range),
         [](common_params & params, const std::string & value) {
             params.sampling.dynatemp_range = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--dynatemp-exp"}, "N",
         string_format("dynamic temperature exponent (default: %.2f)", (double)params.sampling.dynatemp_exponent),
         [](common_params & params, const std::string & value) {
             params.sampling.dynatemp_exponent = std::stof(value);
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--mirostat"}, "N",
         string_format("use Mirostat sampling.\nTop K, Nucleus and Locally Typical samplers are ignored if used.\n"
@@ -1812,7 +1835,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.mirostat = value;
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIROSTAT;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--mirostat-lr"}, "N",
         string_format("Mirostat learning rate, parameter eta (default: %.2f)", (double)params.sampling.mirostat_eta),
@@ -1820,7 +1843,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.mirostat_eta = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIROSTAT_ETA;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--mirostat-ent"}, "N",
         string_format("Mirostat target entropy, parameter tau (default: %.2f)", (double)params.sampling.mirostat_tau),
@@ -1828,7 +1851,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.sampling.mirostat_tau = std::stof(value);
             params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIROSTAT_TAU;
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"-l", "--logit-bias"}, "TOKEN_ID(+/-)BIAS",
         "modifies the likelihood of token appearing in the completion,\n"
@@ -1850,28 +1873,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 throw std::invalid_argument("invalid input format");
             }
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--grammar"}, "GRAMMAR",
         "BNF-like grammar to constrain generations (see samples in grammars/ dir)",
         [](common_params & params, const std::string & value) {
             params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, value};
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"--grammar-file"}, "FNAME",
         "file to read grammar from",
         [](common_params & params, const std::string & value) {
             params.sampling.grammar = {COMMON_GRAMMAR_TYPE_USER, read_file(value)};
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"-j", "--json-schema"}, "SCHEMA",
         "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead",
         [](common_params & params, const std::string & value) {
             params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(value))};
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"-jf", "--json-schema-file"}, "FILE",
         "File containing a JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\nFor schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead",
@@ -1888,14 +1911,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             );
             params.sampling.grammar = {COMMON_GRAMMAR_TYPE_OUTPUT_FORMAT, json_schema_to_grammar(json::parse(schema))};
         }
-    ).set_sparam());
+    ).set_sampling());
     add_opt(common_arg(
         {"-bs", "--backend-sampling"},
         "enable backend sampling (experimental) (default: disabled)",
         [](common_params & params) {
             params.sampling.backend_sampling = true;
         }
-    ).set_sparam().set_env("LLAMA_ARG_BACKEND_SAMPLING"));
+    ).set_sampling().set_env("LLAMA_ARG_BACKEND_SAMPLING"));
     add_opt(common_arg(
         {"--pooling"}, "{none,mean,cls,last,rank}",
         "pooling type for embeddings, use model default if unspecified",
@@ -2284,6 +2307,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"--list-devices"},
         "print list of available devices and exit",
         [](common_params &) {
+            ggml_backend_load_all();
             std::vector<ggml_backend_dev_t> devices;
             for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
                 auto * dev = ggml_backend_dev_get(i);
@@ -2306,12 +2330,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             parse_tensor_buffer_overrides(value, params.tensor_buft_overrides);
         }
     ).set_env("LLAMA_ARG_OVERRIDE_TENSOR"));
-    add_opt(common_arg(
-        {"-otd", "--override-tensor-draft"}, "<tensor name pattern>=<buffer type>,...",
-        "override tensor buffer type for draft model", [](common_params & params, const std::string & value) {
-            parse_tensor_buffer_overrides(value, params.speculative.tensor_buft_overrides);
-        }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
         {"-cmoe", "--cpu-moe"},
         "keep all Mixture of Experts (MoE) weights in the CPU",
@@ -2334,27 +2352,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
         }
     ).set_env("LLAMA_ARG_N_CPU_MOE"));
-    add_opt(common_arg(
-        {"-cmoed", "--cpu-moe-draft"},
-        "keep all Mixture of Experts (MoE) weights in the CPU for the draft model",
-        [](common_params & params) {
-            params.speculative.tensor_buft_overrides.push_back(llm_ffn_exps_cpu_override());
-        }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_CPU_MOE_DRAFT"));
-    add_opt(common_arg(
-        {"-ncmoed", "--n-cpu-moe-draft"}, "N",
-        "keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model",
-        [](common_params & params, int value) {
-            if (value < 0) {
-                throw std::invalid_argument("invalid value");
-            }
-            for (int i = 0; i < value; ++i) {
-                static std::list<std::string> buft_overrides_draft;
-                buft_overrides_draft.push_back(llm_ffn_exps_block_regex(i));
-                params.speculative.tensor_buft_overrides.push_back({buft_overrides_draft.back().c_str(), ggml_backend_cpu_buffer_type()});
-            }
-        }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_N_CPU_MOE_DRAFT"));
     GGML_ASSERT(params.n_gpu_layers < 0); // string_format would need to be extended for a default >= 0
     add_opt(common_arg(
         {"-ngl", "--gpu-layers", "--n-gpu-layers"}, "N",
@@ -2375,19 +2372,21 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_env("LLAMA_ARG_N_GPU_LAYERS"));
     add_opt(common_arg(
-        {"-sm", "--split-mode"}, "{none,layer,row}",
+        {"-sm", "--split-mode"}, "{none,layer,row,tensor}",
         "how to split the model across multiple GPUs, one of:\n"
         "- none: use one GPU only\n"
-        "- layer (default): split layers and KV across GPUs\n"
-        "- row: split rows across GPUs",
+        "- layer (default): split layers and KV across GPUs (pipelined)\n"
+        "- row: split weight across GPUs by rows (parallelized)\n"
+        "- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)",
         [](common_params & params, const std::string & value) {
-            std::string arg_next = value;
-            if (arg_next == "none") {
+            if (value == "none") {
                 params.split_mode = LLAMA_SPLIT_MODE_NONE;
-            } else if (arg_next == "layer") {
+            } else if (value == "layer") {
                 params.split_mode = LLAMA_SPLIT_MODE_LAYER;
-            } else if (arg_next == "row") {
+            } else if (value == "row") {
                 params.split_mode = LLAMA_SPLIT_MODE_ROW;
+            } else if (value == "tensor") {
+                params.split_mode = LLAMA_SPLIT_MODE_TENSOR;
             } else {
                 throw std::invalid_argument("invalid value");
             }
@@ -2447,6 +2446,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             }
         }
     ).set_env("LLAMA_ARG_FIT"));
+    add_opt(common_arg(
+        { "-fitp", "--fit-print" }, "[on|off]",
+        string_format("print the estimated required memory ('on' or 'off', default: '%s')", params.fit_params_print ? "on" : "off"),
+        [](common_params & params, const std::string & value) {
+            if (is_truthy(value)) {
+                params.fit_params_print = true;
+            } else if (is_falsey(value)) {
+                params.fit_params_print = false;
+            } else {
+                throw std::runtime_error(
+                    string_format("error: unknown value for --fit-print: '%s'\n", value.c_str()));
+            }
+        }
+    ).set_examples({LLAMA_EXAMPLE_FIT_PARAMS}).set_env("LLAMA_ARG_FIT_ESTIMATE"));
     add_opt(common_arg(
         { "-fitt", "--fit-target" }, "MiB0,MiB1,MiB2,...",
         string_format("target margin per device for --fit, comma-separated list of values, "
@@ -2621,13 +2634,6 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
             params.model.hf_repo = value;
         }
     ).set_env("LLAMA_ARG_HF_REPO"));
-    add_opt(common_arg(
-        {"-hfd", "-hfrd", "--hf-repo-draft"}, "<user>/<model>[:quant]",
-        "Same as --hf-repo, but for the draft model (default: unused)",
-        [](common_params & params, const std::string & value) {
-            params.speculative.mparams_dft.hf_repo = value;
-        }
-    ).set_env("LLAMA_ARG_HFD_REPO"));
     add_opt(common_arg(
         {"-hff", "--hf-file"}, "FILE",
         "Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)",
@@ -2891,7 +2897,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         {"--tools"}, "TOOL1,TOOL2,...",
         "experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)\n"
         "specify \"all\" to enable all tools\n"
-        "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff",
+        "available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff, get_datetime",
         [](common_params & params, const std::string & value) {
             params.server_tools = parse_csv_row(value);
         }
@@ -3129,14 +3135,14 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         "token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)",
         [](common_params & params, int value) {
             if (value < -1) { throw std::invalid_argument("invalid value"); }
-            params.reasoning_budget = value;
+            params.sampling.reasoning_budget_tokens = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET"));
     add_opt(common_arg(
         {"--reasoning-budget-message"}, "MESSAGE",
         "message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)",
         [](common_params & params, const std::string & value) {
-            params.reasoning_budget_message = value;
+            params.sampling.reasoning_budget_message = value;
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_COMPLETION, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_THINK_BUDGET_MESSAGE"));
     add_opt(common_arg(
@@ -3337,170 +3343,235 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_env("LLAMA_LOG_TIMESTAMPS"));
 
+    //
     // speculative parameters
+    //
+
     add_opt(common_arg(
-        {"-td", "--threads-draft"}, "N",
+        {"--spec-draft-hf", "-hfd", "-hfrd", "--hf-repo-draft"}, "<user>/<model>[:quant]",
+        "Same as --hf-repo, but for the draft model (default: unused)",
+        [](common_params & params, const std::string & value) {
+            params.speculative.draft.mparams.hf_repo = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_HF_REPO"));
+    add_opt(common_arg(
+        {"--spec-draft-threads", "-td", "--threads-draft"}, "N",
         "number of threads to use during generation (default: same as --threads)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams.n_threads = value;
-            if (params.speculative.cpuparams.n_threads <= 0) {
-                params.speculative.cpuparams.n_threads = std::thread::hardware_concurrency();
+            params.speculative.draft.cpuparams.n_threads = value;
+            if (params.speculative.draft.cpuparams.n_threads <= 0) {
+                params.speculative.draft.cpuparams.n_threads = std::thread::hardware_concurrency();
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-tbd", "--threads-batch-draft"}, "N",
+        {"--spec-draft-threads-batch", "-tbd", "--threads-batch-draft"}, "N",
         "number of threads to use during batch and prompt processing (default: same as --threads-draft)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams_batch.n_threads = value;
-            if (params.speculative.cpuparams_batch.n_threads <= 0) {
-                params.speculative.cpuparams_batch.n_threads = std::thread::hardware_concurrency();
+            params.speculative.draft.cpuparams_batch.n_threads = value;
+            if (params.speculative.draft.cpuparams_batch.n_threads <= 0) {
+                params.speculative.draft.cpuparams_batch.n_threads = std::thread::hardware_concurrency();
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-Cd", "--cpu-mask-draft"}, "M",
+        {"--spec-draft-cpu-mask", "-Cd", "--cpu-mask-draft"}, "M",
         "Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask)",
         [](common_params & params, const std::string & mask) {
-            params.speculative.cpuparams.mask_valid = true;
-            if (!parse_cpu_mask(mask, params.speculative.cpuparams.cpumask)) {
+            params.speculative.draft.cpuparams.mask_valid = true;
+            if (!parse_cpu_mask(mask, params.speculative.draft.cpuparams.cpumask)) {
                 throw std::invalid_argument("invalid cpumask");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-Crd", "--cpu-range-draft"}, "lo-hi",
+        {"--spec-draft-cpu-range", "-Crd", "--cpu-range-draft"}, "lo-hi",
         "Ranges of CPUs for affinity. Complements --cpu-mask-draft",
         [](common_params & params, const std::string & range) {
-            params.speculative.cpuparams.mask_valid = true;
-            if (!parse_cpu_range(range, params.speculative.cpuparams.cpumask)) {
+            params.speculative.draft.cpuparams.mask_valid = true;
+            if (!parse_cpu_range(range, params.speculative.draft.cpuparams.cpumask)) {
                 throw std::invalid_argument("invalid range");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--cpu-strict-draft"}, "<0|1>",
+        {"--spec-draft-cpu-strict", "--cpu-strict-draft"}, "<0|1>",
         "Use strict CPU placement for draft model (default: same as --cpu-strict)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams.strict_cpu = value;
+            params.speculative.draft.cpuparams.strict_cpu = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--prio-draft"}, "N",
-        string_format("set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: %d)\n", params.speculative.cpuparams.priority),
+        {"--spec-draft-prio", "--prio-draft"}, "N",
+        string_format("set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: %d)\n", params.speculative.draft.cpuparams.priority),
         [](common_params & params, int prio) {
             if (prio < 0 || prio > 3) {
                 throw std::invalid_argument("invalid value");
             }
-            params.speculative.cpuparams.priority = (enum ggml_sched_priority) prio;
+            params.speculative.draft.cpuparams.priority = (enum ggml_sched_priority) prio;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--poll-draft"}, "<0|1>",
-        "Use polling to wait for draft model work (default: same as --poll])",
+        {"--spec-draft-poll", "--poll-draft"}, "<0|1>",
+        "Use polling to wait for draft model work (default: same as --poll)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams.poll = value;
+            params.speculative.draft.cpuparams.poll = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-Cbd", "--cpu-mask-batch-draft"}, "M",
+        {"--spec-draft-cpu-mask-batch", "-Cbd", "--cpu-mask-batch-draft"}, "M",
         "Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask)",
         [](common_params & params, const std::string & mask) {
-            params.speculative.cpuparams_batch.mask_valid = true;
-            if (!parse_cpu_mask(mask, params.speculative.cpuparams_batch.cpumask)) {
+            params.speculative.draft.cpuparams_batch.mask_valid = true;
+            if (!parse_cpu_mask(mask, params.speculative.draft.cpuparams_batch.cpumask)) {
                 throw std::invalid_argument("invalid cpumask");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-Crbd", "--cpu-range-batch-draft"}, "lo-hi",
+        {"--spec-draft-cpu-range-batch", "-Crbd", "--cpu-range-batch-draft"}, "lo-hi",
         "Ranges of CPUs for affinity. Complements --cpu-mask-draft-batch)",
         [](common_params & params, const std::string & range) {
-            params.speculative.cpuparams_batch.mask_valid = true;
-            if (!parse_cpu_range(range, params.speculative.cpuparams_batch.cpumask)) {
+            params.speculative.draft.cpuparams_batch.mask_valid = true;
+            if (!parse_cpu_range(range, params.speculative.draft.cpuparams_batch.cpumask)) {
                 throw std::invalid_argument("invalid cpumask");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
     add_opt(common_arg(
-        {"--cpu-strict-batch-draft"}, "<0|1>",
+        {"--spec-draft-cpu-strict-batch", "--cpu-strict-batch-draft"}, "<0|1>",
         "Use strict CPU placement for draft model (default: --cpu-strict-draft)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams_batch.strict_cpu = value;
+            params.speculative.draft.cpuparams_batch.strict_cpu = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--prio-batch-draft"}, "N",
-        string_format("set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: %d)\n", params.speculative.cpuparams_batch.priority),
+        {"--spec-draft-prio-batch", "--prio-batch-draft"}, "N",
+        string_format("set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: %d)\n", params.speculative.draft.cpuparams_batch.priority),
         [](common_params & params, int prio) {
             if (prio < 0 || prio > 3) {
                 throw std::invalid_argument("invalid value");
             }
-            params.speculative.cpuparams_batch.priority = (enum ggml_sched_priority) prio;
+            params.speculative.draft.cpuparams_batch.priority = (enum ggml_sched_priority) prio;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--poll-batch-draft"}, "<0|1>",
+        {"--spec-draft-poll-batch", "--poll-batch-draft"}, "<0|1>",
         "Use polling to wait for draft model work (default: --poll-draft)",
         [](common_params & params, int value) {
-            params.speculative.cpuparams_batch.poll = value;
+            params.speculative.draft.cpuparams_batch.poll = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--draft", "--draft-n", "--draft-max"}, "N",
-        string_format("number of tokens to draft for speculative decoding (default: %d)", params.speculative.n_max),
+        {"--spec-draft-type-k", "-ctkd", "--cache-type-k-draft"}, "TYPE",
+        string_format(
+            "KV cache data type for K for the draft model\n"
+            "allowed values: %s\n"
+            "(default: %s)",
+            get_all_kv_cache_types().c_str(),
+            ggml_type_name(params.speculative.draft.cache_type_k)
+        ),
+        [](common_params & params, const std::string & value) {
+            params.speculative.draft.cache_type_k = kv_cache_type_from_str(value);
+        }
+    ).set_env("LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K"));
+    add_opt(common_arg(
+        {"--spec-draft-type-v", "-ctvd", "--cache-type-v-draft"}, "TYPE",
+        string_format(
+            "KV cache data type for V for the draft model\n"
+            "allowed values: %s\n"
+            "(default: %s)",
+            get_all_kv_cache_types().c_str(),
+            ggml_type_name(params.speculative.draft.cache_type_v)
+        ),
+        [](common_params & params, const std::string & value) {
+            params.speculative.draft.cache_type_v = kv_cache_type_from_str(value);
+        }
+    ).set_env("LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V"));
+    add_opt(common_arg(
+        {"--spec-draft-override-tensor", "-otd", "--override-tensor-draft"}, "<tensor name pattern>=<buffer type>,...",
+        "override tensor buffer type for draft model", [](common_params & params, const std::string & value) {
+            parse_tensor_buffer_overrides(value, params.speculative.draft.tensor_buft_overrides);
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-draft-cpu-moe", "-cmoed", "--cpu-moe-draft"},
+        "keep all Mixture of Experts (MoE) weights in the CPU for the draft model",
+        [](common_params & params) {
+            params.speculative.draft.tensor_buft_overrides.push_back(llm_ffn_exps_cpu_override());
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_CPU_MOE"));
+    add_opt(common_arg(
+        {"--spec-draft-n-cpu-moe", "--spec-draft-ncmoe", "-ncmoed", "--n-cpu-moe-draft"}, "N",
+        "keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model",
+        [](common_params & params, int value) {
+            if (value < 0) {
+                throw std::invalid_argument("invalid value");
+            }
+            for (int i = 0; i < value; ++i) {
+                static std::list<std::string> buft_overrides_draft;
+                buft_overrides_draft.push_back(llm_ffn_exps_block_regex(i));
+                params.speculative.draft.tensor_buft_overrides.push_back({buft_overrides_draft.back().c_str(), ggml_backend_cpu_buffer_type()});
+            }
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE"));
+
+    add_opt(common_arg(
+        {"--spec-draft-n-max"}, "N",
+        string_format("number of tokens to draft for speculative decoding (default: %d)", params.speculative.draft.n_max),
         [](common_params & params, int value) {
-            params.speculative.n_max = value;
+            params.speculative.draft.n_max = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MAX"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_MAX"));
     add_opt(common_arg(
-        {"--draft-min", "--draft-n-min"}, "N",
-        string_format("minimum number of draft tokens to use for speculative decoding (default: %d)", params.speculative.n_min),
+        {"--spec-draft-n-min"}, "N",
+        string_format("minimum number of draft tokens to use for speculative decoding (default: %d)", params.speculative.draft.n_min),
         [](common_params & params, int value) {
-            params.speculative.n_min = value;
+            params.speculative.draft.n_min = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MIN"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_N_MIN"));
+
     add_opt(common_arg(
-        {"--draft-p-split"}, "P",
-        string_format("speculative decoding split probability (default: %.2f)", (double)params.speculative.p_split),
+        {"--spec-draft-p-split", "--draft-p-split"}, "P",
+        string_format("speculative decoding split probability (default: %.2f)", (double)params.speculative.draft.p_split),
         [](common_params & params, const std::string & value) {
-            params.speculative.p_split = std::stof(value);
+            params.speculative.draft.p_split = std::stof(value);
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE}).set_env("LLAMA_ARG_DRAFT_P_SPLIT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_P_SPLIT"));
     add_opt(common_arg(
-        {"--draft-p-min"}, "P",
-        string_format("minimum speculative decoding probability (greedy) (default: %.2f)", (double)params.speculative.p_min),
+        {"--spec-draft-p-min", "--draft-p-min"}, "P",
+        string_format("minimum speculative decoding probability (greedy) (default: %.2f)", (double)params.speculative.draft.p_min),
         [](common_params & params, const std::string & value) {
-            params.speculative.p_min = std::stof(value);
+            params.speculative.draft.p_min = std::stof(value);
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_P_MIN"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_P_MIN"));
     add_opt(common_arg(
-        {"-cd", "--ctx-size-draft"}, "N",
-        string_format("size of the prompt context for the draft model (default: %d, 0 = loaded from model)", params.speculative.n_ctx),
+        {"--spec-draft-ctx-size", "-cd", "--ctx-size-draft"}, "N",
+        string_format("size of the prompt context for the draft model (default: %d, 0 = loaded from model)", params.speculative.draft.n_ctx),
         [](common_params & params, int value) {
-            params.speculative.n_ctx = value;
+            params.speculative.draft.n_ctx = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_CTX_SIZE_DRAFT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_CTX_SIZE"));
     add_opt(common_arg(
-        {"-devd", "--device-draft"}, "<dev1,dev2,..>",
+        {"--spec-draft-device", "-devd", "--device-draft"}, "<dev1,dev2,..>",
         "comma-separated list of devices to use for offloading the draft model (none = don't offload)\n"
         "use --list-devices to see a list of available devices",
         [](common_params & params, const std::string & value) {
-            params.speculative.devices = parse_device_list(value);
+            params.speculative.draft.devices = parse_device_list(value);
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
-    GGML_ASSERT(params.speculative.n_gpu_layers < 0); // string_format would need to be extended for a default >= 0
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    GGML_ASSERT(params.speculative.draft.n_gpu_layers < 0); // string_format would need to be extended for a default >= 0
     add_opt(common_arg(
-        {"-ngld", "--gpu-layers-draft", "--n-gpu-layers-draft"}, "N",
+        {"--spec-draft-ngl", "-ngld", "--gpu-layers-draft", "--n-gpu-layers-draft"}, "N",
         string_format("max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: %s)",
-            params.speculative.n_gpu_layers == -1 ? "auto" : "all"),
+            params.speculative.draft.n_gpu_layers == -1 ? "auto" : "all"),
         [](common_params & params, const std::string & value) {
             if (value == "auto") {
-                params.speculative.n_gpu_layers = -1;
+                params.speculative.draft.n_gpu_layers = -1;
             } else if (value == "all") {
-                params.speculative.n_gpu_layers = -2;
+                params.speculative.draft.n_gpu_layers = -2;
             } else {
-                params.speculative.n_gpu_layers = std::stoi(value);
+                params.speculative.draft.n_gpu_layers = std::stoi(value);
             }
             if (!llama_supports_gpu_offload()) {
                 fprintf(stderr, "warning: no usable GPU found, --gpu-layers-draft option will be ignored\n");
@@ -3508,21 +3579,21 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 fprintf(stderr, "warning: consult docs/build.md for compilation instructions\n");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_N_GPU_LAYERS_DRAFT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_N_GPU_LAYERS_DRAFT"));
     add_opt(common_arg(
-        {"-md", "--model-draft"}, "FNAME",
+        {"--spec-draft-model", "-md", "--model-draft"}, "FNAME",
         "draft model for speculative decoding (default: unused)",
         [](common_params & params, const std::string & value) {
-            params.speculative.mparams_dft.path = value;
+            params.speculative.draft.mparams.path = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_MODEL_DRAFT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_MODEL"));
     add_opt(common_arg(
-        {"--spec-replace"}, "TARGET", "DRAFT",
+        {"--spec-draft-replace", "--spec-replace"}, "TARGET", "DRAFT",
         "translate the string in TARGET into DRAFT if the draft model and main model are not compatible",
         [](common_params & params, const std::string & tgt, const std::string & dft) {
-            params.speculative.replacements.push_back({ tgt, dft });
+            params.speculative.draft.replacements.push_back({ tgt, dft });
         }
-    ).set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
         {"--spec-type"}, "[none|ngram-cache|ngram-simple|ngram-map-k|ngram-map-k4v|ngram-mod]",
         string_format("type of speculative decoding to use when no draft model is provided (default: %s)\n",
@@ -3544,63 +3615,174 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
                 throw std::invalid_argument("unknown speculative decoding type without draft model");
             }
         }
-    ).set_examples({LLAMA_EXAMPLE_SERVER}).set_env("LLAMA_ARG_SPEC_TYPE"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_TYPE"));
     add_opt(common_arg(
-        {"--spec-ngram-size-n"}, "N",
-        string_format("ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_size_n),
+        {"--spec-ngram-mod-n-min"}, "N",
+        string_format("minimum number of ngram tokens to use for ngram-based speculative decoding (default: %d)", params.speculative.ngram_mod.n_min),
+        [](common_params & params, int value) {
+            if (value < 0 || value > 1024) {
+                throw std::invalid_argument("ngram n-min must be between 0 and 1024 inclusive");
+            }
+            params.speculative.ngram_mod.n_min = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-mod-n-max"}, "N",
+        string_format("maximum number of ngram tokens to use for ngram-based speculative decoding (default: %d)", params.speculative.ngram_mod.n_max),
+        [](common_params & params, int value) {
+            if (value < 0 || value > 1024) {
+                throw std::invalid_argument("ngram n-max must be between 0 and 1024 inclusive");
+            }
+            params.speculative.ngram_mod.n_max = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-mod-n-match"}, "N",
+        string_format("ngram-mod lookup length (default: %d)", params.speculative.ngram_mod.n_match),
         [](common_params & params, int value) {
             if (value < 1 || value > 1024) {
                 throw std::invalid_argument("ngram size N must be between 1 and 1024 inclusive");
             }
-            params.speculative.ngram_size_n = value;
+            params.speculative.ngram_mod.n_match = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SERVER}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+
     add_opt(common_arg(
-        {"--spec-ngram-size-m"}, "N",
-        string_format("ngram size M for ngram-simple/ngram-map speculative decoding, length of draft m-gram (default: %d)", params.speculative.ngram_size_m),
+        {"--spec-ngram-simple-size-n"}, "N",
+        string_format("ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_simple.size_n),
+        [](common_params & params, int value) {
+            if (value < 1 || value > 1024) {
+                throw std::invalid_argument("ngram size N must be between 1 and 1024 inclusive");
+            }
+            params.speculative.ngram_simple.size_n = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-simple-size-m"}, "N",
+        string_format("ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: %d)", params.speculative.ngram_simple.size_m),
         [](common_params & params, int value) {
             if (value < 1 || value > 1024) {
                 throw std::invalid_argument("ngram size M must be between 1 and 1024 inclusive");
             }
-            params.speculative.ngram_size_m = value;
+            params.speculative.ngram_simple.size_m = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SERVER}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"--spec-ngram-min-hits"}, "N",
-        string_format("minimum hits for ngram-map speculative decoding (default: %d)", params.speculative.ngram_min_hits),
+        {"--spec-ngram-simple-min-hits"}, "N",
+        string_format("minimum hits for ngram-simple speculative decoding (default: %d)", params.speculative.ngram_simple.min_hits),
         [](common_params & params, int value) {
             if (value < 1) {
                 throw std::invalid_argument("ngram min hits must be at least 1");
             }
-            params.speculative.ngram_min_hits = value;
+            params.speculative.ngram_simple.min_hits = value;
         }
-    ).set_examples({LLAMA_EXAMPLE_SERVER}));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+
     add_opt(common_arg(
-        {"-ctkd", "--cache-type-k-draft"}, "TYPE",
-        string_format(
-            "KV cache data type for K for the draft model\n"
-            "allowed values: %s\n"
-            "(default: %s)",
-            get_all_kv_cache_types().c_str(),
-            ggml_type_name(params.speculative.cache_type_k)
-        ),
-        [](common_params & params, const std::string & value) {
-            params.speculative.cache_type_k = kv_cache_type_from_str(value);
+        {"--spec-ngram-map-k-size-n"}, "N",
+        string_format("ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_map_k.size_n),
+        [](common_params & params, int value) {
+            if (value < 1 || value > 1024) {
+                throw std::invalid_argument("ngram size N must be between 1 and 1024 inclusive");
+            }
+            params.speculative.ngram_map_k.size_n = value;
         }
-    ).set_env("LLAMA_ARG_CACHE_TYPE_K_DRAFT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
     add_opt(common_arg(
-        {"-ctvd", "--cache-type-v-draft"}, "TYPE",
-        string_format(
-            "KV cache data type for V for the draft model\n"
-            "allowed values: %s\n"
-            "(default: %s)",
-            get_all_kv_cache_types().c_str(),
-            ggml_type_name(params.speculative.cache_type_v)
-        ),
-        [](common_params & params, const std::string & value) {
-            params.speculative.cache_type_v = kv_cache_type_from_str(value);
+        {"--spec-ngram-map-k-size-m"}, "N",
+        string_format("ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: %d)", params.speculative.ngram_map_k.size_m),
+        [](common_params & params, int value) {
+            if (value < 1 || value > 1024) {
+                throw std::invalid_argument("ngram size M must be between 1 and 1024 inclusive");
+            }
+            params.speculative.ngram_map_k.size_m = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-map-k-min-hits"}, "N",
+        string_format("minimum hits for ngram-map-k speculative decoding (default: %d)", params.speculative.ngram_map_k.min_hits),
+        [](common_params & params, int value) {
+            if (value < 1) {
+                throw std::invalid_argument("ngram min hits must be at least 1");
+            }
+            params.speculative.ngram_map_k.min_hits = value;
         }
-    ).set_env("LLAMA_ARG_CACHE_TYPE_V_DRAFT"));
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+
+    add_opt(common_arg(
+        {"--spec-ngram-map-k4v-size-n"}, "N",
+        string_format("ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: %d)", params.speculative.ngram_map_k4v.size_n),
+        [](common_params & params, int value) {
+            if (value < 1 || value > 1024) {
+                throw std::invalid_argument("ngram size N must be between 1 and 1024 inclusive");
+            }
+            params.speculative.ngram_map_k4v.size_n = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-map-k4v-size-m"}, "N",
+        string_format("ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: %d)", params.speculative.ngram_map_k4v.size_m),
+        [](common_params & params, int value) {
+            if (value < 1 || value > 1024) {
+                throw std::invalid_argument("ngram size M must be between 1 and 1024 inclusive");
+            }
+            params.speculative.ngram_map_k4v.size_m = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+    add_opt(common_arg(
+        {"--spec-ngram-map-k4v-min-hits"}, "N",
+        string_format("minimum hits for ngram-map-k4v speculative decoding (default: %d)", params.speculative.ngram_map_k4v.min_hits),
+        [](common_params & params, int value) {
+            if (value < 1) {
+                throw std::invalid_argument("ngram min hits must be at least 1");
+            }
+            params.speculative.ngram_map_k4v.min_hits = value;
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+
+    //
+    // removed params
+    //
+
+    add_opt(common_arg(
+        {"--draft", "--draft-n", "--draft-max"}, "N",
+        "the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max",
+        [](common_params & /*params*/, int /*value*/) {
+            arg_removed("use --spec-draft-n-max or --spec-ngram-mod-n-max");
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MAX"));
+    add_opt(common_arg(
+        {"--draft-min", "--draft-n-min"}, "N",
+        "the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min",
+        [](common_params & /*params*/, int /*value*/) {
+            arg_removed("use --spec-draft-n-min or --spec-ngram-mod-n-min");
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_LOOKUP, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_DRAFT_MIN"));
+    add_opt(common_arg(
+        {"--spec-ngram-size-n"}, "N",
+        "the argument has been removed. use the respective --spec-ngram-*-size-n or --spec-ngram-mod-n-match",
+        [](common_params & /*params*/, int /*value*/) {
+            arg_removed("use the respective --spec-ngram-*-size-n");
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER}));
+    add_opt(common_arg(
+        {"--spec-ngram-size-m"}, "N",
+        "the argument has been removed. use the respective --spec-ngram-*-size-m",
+        [](common_params & /*params*/, int /*value*/) {
+            arg_removed("use the respective --spec-ngram-*-size-m");
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER}));
+    add_opt(common_arg(
+        {"--spec-ngram-min-hits"}, "N",
+        "the argument has been removed. use the respective --spec-ngram-*-min-hits",
+        [](common_params & /*params*/, int /*value*/) {
+            arg_removed("use the respective --spec-ngram-*-min-hits");
+        }
+    ).set_spec().set_examples({LLAMA_EXAMPLE_SERVER}));
+
+    //
+    // TTS params
+    //
 
     add_opt(common_arg(
         {"-mv", "--model-vocoder"}, "FNAME",
@@ -3624,6 +3806,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_examples({LLAMA_EXAMPLE_TTS}));
 
+    //
+    // diffusion params
+    //
+
     add_opt(common_arg(
         {"--diffusion-steps"}, "N",
         string_format("number of diffusion steps (default: %d)", params.diffusion.steps),
@@ -3641,7 +3827,10 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
     ).set_examples({ LLAMA_EXAMPLE_DIFFUSION }));
     add_opt(common_arg(
         {"--diffusion-algorithm"}, "N",
-        string_format("diffusion algorithm: 0=ORIGIN, 1=ENTROPY_BASED, 2=MARGIN_BASED, 3=RANDOM, 4=LOW_CONFIDENCE (default: %d)", params.diffusion.algorithm),
+        string_format(
+            "diffusion algorithm: 0=DIFFUSION_ALGORITHM_ORIGIN, 1=DIFFUSION_ALGORITHM_ENTROPY_BASED, "
+            "2=DIFFUSION_ALGORITHM_MARGIN_BASED, 3=DIFFUSION_ALGORITHM_RANDOM, "
+            "4=DIFFUSION_ALGORITHM_CONFIDENCE_BASED (default: %d)", params.diffusion.algorithm),
         [](common_params & params, int value) { params.diffusion.algorithm = value; }
     ).set_examples({ LLAMA_EXAMPLE_DIFFUSION }));
     add_opt(common_arg(
@@ -3808,8 +3997,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params) {
             params.model.hf_repo = "ggml-org/Qwen2.5-Coder-7B-Q8_0-GGUF";
             params.model.hf_file = "qwen2.5-coder-7b-q8_0.gguf";
-            params.speculative.mparams_dft.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
-            params.speculative.mparams_dft.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
+            params.speculative.draft.mparams.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
+            params.speculative.draft.mparams.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
             params.port = 8012;
             params.n_ubatch = 1024;
             params.n_batch = 1024;
@@ -3824,8 +4013,8 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         [](common_params & params) {
             params.model.hf_repo = "ggml-org/Qwen2.5-Coder-14B-Q8_0-GGUF";
             params.model.hf_file = "qwen2.5-coder-14b-q8_0.gguf";
-            params.speculative.mparams_dft.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
-            params.speculative.mparams_dft.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
+            params.speculative.draft.mparams.hf_repo = "ggml-org/Qwen2.5-Coder-0.5B-Q8_0-GGUF";
+            params.speculative.draft.mparams.hf_file = "qwen2.5-coder-0.5b-q8_0.gguf";
             params.port = 8012;
             params.n_ubatch = 1024;
             params.n_batch = 1024;
@@ -3909,6 +4098,17 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         }
     ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
 
+    add_opt(common_arg(
+        {"--spec-default"},
+        string_format("enable default speculative decoding config"),
+        [](common_params & params) {
+            params.speculative.type = COMMON_SPECULATIVE_TYPE_NGRAM_MOD;
+            params.speculative.ngram_mod.n_match = 24;
+            params.speculative.ngram_mod.n_min = 48;
+            params.speculative.ngram_mod.n_max = 64;
+        }
+    ).set_examples({LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}));
+
     return ctx_arg;
 }
 
diff --git a/common/arg.h b/common/arg.h
index 55782a158..2c2a4e38a 100644
--- a/common/arg.h
+++ b/common/arg.h
@@ -25,7 +25,8 @@ struct common_arg {
     const char * value_hint_2 = nullptr; // for second arg value
     const char * env          = nullptr;
     std::string help;
-    bool is_sparam = false; // is current arg a sampling param?
+    bool is_sampling = false; // is current arg a sampling param?
+    bool is_spec = false; // is current arg a speculative decoding param?
     bool is_preset_only = false; // is current arg preset-only (not treated as CLI arg)
     void (*handler_void)   (common_params & params) = nullptr;
     void (*handler_string) (common_params & params, const std::string &) = nullptr;
@@ -74,7 +75,8 @@ struct common_arg {
     common_arg & set_examples(std::initializer_list<enum llama_example> examples);
     common_arg & set_excludes(std::initializer_list<enum llama_example> excludes);
     common_arg & set_env(const char * env);
-    common_arg & set_sparam();
+    common_arg & set_sampling();
+    common_arg & set_spec();
     common_arg & set_preset_only();
     bool in_example(enum llama_example ex);
     bool is_exclude(enum llama_example ex);
diff --git a/common/build-info.cpp.in b/common/build-info.cpp.in
index aee9d7eaf..f888fd079 100644
--- a/common/build-info.cpp.in
+++ b/common/build-info.cpp.in
@@ -1,4 +1,35 @@
+#include "build-info.h"
+
+#include <cstdio>
+#include <string>
+
 int LLAMA_BUILD_NUMBER = @LLAMA_BUILD_NUMBER@;
-char const *LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
-char const *LLAMA_COMPILER = "@BUILD_COMPILER@";
-char const *LLAMA_BUILD_TARGET = "@BUILD_TARGET@";
+char const * LLAMA_COMMIT = "@LLAMA_BUILD_COMMIT@";
+char const * LLAMA_COMPILER = "@BUILD_COMPILER@";
+char const * LLAMA_BUILD_TARGET = "@BUILD_TARGET@";
+
+int llama_build_number(void) {
+    return LLAMA_BUILD_NUMBER;
+}
+
+const char * llama_commit(void) {
+    return LLAMA_COMMIT;
+}
+
+const char * llama_compiler(void) {
+    return LLAMA_COMPILER;
+}
+
+const char * llama_build_target(void) {
+    return LLAMA_BUILD_TARGET;
+}
+
+const char * llama_build_info(void) {
+    static std::string s = "b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT;
+    return s.c_str();
+}
+
+void llama_print_build_info(void) {
+    fprintf(stderr, "%s: build = %d (%s)\n",      __func__, llama_build_number(), llama_commit());
+    fprintf(stderr, "%s: built with %s for %s\n", __func__, llama_compiler(), llama_build_target());
+}
diff --git a/common/build-info.h b/common/build-info.h
new file mode 100644
index 000000000..382cfa785
--- /dev/null
+++ b/common/build-info.h
@@ -0,0 +1,11 @@
+#pragma once
+
+int llama_build_number(void);
+
+const char * llama_commit(void);
+const char * llama_compiler(void);
+
+const char * llama_build_target(void);
+const char * llama_build_info(void);
+
+void llama_print_build_info(void);
diff --git a/common/chat-auto-parser-generator.cpp b/common/chat-auto-parser-generator.cpp
index 00834ba0f..2fac0ea5c 100644
--- a/common/chat-auto-parser-generator.cpp
+++ b/common/chat-auto-parser-generator.cpp
@@ -69,6 +69,10 @@ common_chat_params peg_generator::generate_parser(const common_chat_template &
                 auto         schema   = function.contains("parameters") ? function.at("parameters") : json::object();
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -132,10 +136,10 @@ common_peg_parser analyze_reasoning::build_parser(parser_build_context & ctx) co
         if (!end.empty()) {
             if (!start.empty()) {
                 // Standard tag-based: optional(<think>reasoning</think>)
-                return p.optional(start + p.reasoning(p.until(end)) + end + p.space());
+                return p.optional(p.optspace(start) + p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end));
             }
             // Delimiter-style (empty start)
-            return p.optional(p.reasoning(p.until(end)) + end + p.space());
+            return p.optional(p.reasoning(p.until(trim_whitespace(end))) + p.optspace(end));
         }
     }
 
@@ -182,7 +186,6 @@ common_peg_parser analyze_tools::build_parser(parser_build_context & ctx) const
 common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_context & ctx) const {
     auto &       p           = ctx.p;
     const auto & inputs      = ctx.inputs;
-    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
 
     // Build effective field names with dot notation if function_field is set
     std::string name_field = format.name_field;
@@ -194,10 +197,19 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
         args_field = format.function_field + "." + args_field;
     }
 
-    auto tools_parser = p.standard_json_tools(
-        format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
-        inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
-        format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+    auto tools_parser = p.eps();
+    if (format.section_start.empty() && !format.per_call_start.empty()) {
+        auto single_tool_parser = p.standard_json_tools(
+            format.per_call_start, format.per_call_end, inputs.tools, inputs.parallel_tool_calls,
+            inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+        tools_parser = p.trigger_rule("tool-calls", p.one_or_more(single_tool_parser + p.space()));
+    } else {
+        tools_parser = p.standard_json_tools(
+            format.section_start, format.section_end, inputs.tools, inputs.parallel_tool_calls,
+            inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED, name_field, args_field, format.tools_array_wrapped,
+            format.fun_name_is_key, format.id_field, format.gen_id_field, format.parameter_order);
+    }
 
     // Handle content wrappers if present
     if (ctx.content && ctx.content->is_always_wrapped()) {
@@ -212,8 +224,7 @@ common_peg_parser analyze_tools::build_tool_parser_json_native(parser_build_cont
         tool_start = format.per_call_start;
     }
 
-    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(p.until(tool_start)))) + tools_parser +
-           p.end();
+    return ctx.reasoning_parser + p.optional(p.content(p.until(tool_start))) + tools_parser + p.end();
 }
 
 common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p, const std::string & name,
@@ -257,7 +268,6 @@ common_peg_parser analyze_tools::build_func_parser(common_chat_peg_builder & p,
 common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context & ctx) const {
     auto &       p           = ctx.p;
     const auto & inputs      = ctx.inputs;
-    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
 
     common_peg_parser tool_choice = p.choice();
 
@@ -323,67 +333,43 @@ common_peg_parser analyze_tools::build_tool_parser_tag_json(parser_build_context
 
     std::string trigger_marker       = !format.section_start.empty() ? format.section_start : format.per_call_start;
     auto        content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
-    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
-           p.end();
+    return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end();
 }
 
 common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_context & ctx) const {
     auto &       p           = ctx.p;
     const auto & inputs      = ctx.inputs;
-    bool         force_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+    auto until_suffix = p.rule("until-suffix", p.until(arguments.value_suffix));
 
     common_peg_parser tool_choice = p.choice();
 
     foreach_function(inputs.tools, [&](const json & tool) {
         const auto &          func       = tool.at("function");
         std::string           name       = func.at("name");
-        const auto &          params     = func.contains("parameters") ? func.at("parameters") : json::object();
+        auto                  params     = func.contains("parameters") ? func.at("parameters") : json::object();
         const auto &          properties = params.contains("properties") ? params.at("properties") : json::object();
+
         std::set<std::string> required;
+        if (params.contains("required")) {
+            params.at("required").get_to(required);
+        }
+
+        auto schema_info = common_schema_info();
+        schema_info.resolve_refs(params);
 
         // Build parser for each argument, separating required and optional
         std::vector<common_peg_parser> required_parsers;
         std::vector<common_peg_parser> optional_parsers;
         for (const auto & [param_name, param_schema] : properties.items()) {
-            bool        is_required = required.find(param_name) != required.end();
-            std::string type        = "object";
-            if (param_schema.contains("type")) {
-                const auto & type_obj = param_schema.at("type");
-                if (type_obj.is_string()) {
-                    type_obj.get_to(type);
-                } else if (type_obj.is_array()) {
-                    // Handle nullable types like ["string", "null"]
-                    for (const auto & t : type_obj) {
-                        if (t.is_string() && t.get<std::string>() != "null") {
-                            type = t.get<std::string>();
-                            break;
-                        }
-                    }
-                } else if (type_obj.is_object()) {
-                    if (type_obj.contains("type") && type_obj.at("type").is_string()) {
-                        type_obj.at("type").get_to(type);
-                    }
-                }
-            }
-            // Infer string type from enum values when type is unspecified
-            if (type == "object" && param_schema.contains("enum")) {
-                const auto & enum_vals = param_schema.at("enum");
-                if (enum_vals.is_array()) {
-                    for (const auto & v : enum_vals) {
-                        if (v.is_string()) {
-                            type = "string";
-                            break;
-                        }
-                    }
-                }
-            }
+            bool is_required = required.find(param_name) != required.end();
 
             auto arg =
                 p.tool_arg(p.tool_arg_open(arguments.name_prefix + p.tool_arg_name(p.literal(param_name)) +
                                            arguments.name_suffix) +
                            arguments.value_prefix +
-                           (type == "string" ?
-                                p.tool_arg_string_value(p.schema(p.until(arguments.value_suffix),
+                           (schema_info.resolves_to_string(param_schema) ?
+                                p.tool_arg_string_value(p.schema(until_suffix,
                                                                  "tool-" + name + "-arg-" + param_name + "-schema",
                                                                  param_schema, true)) :
                                 p.tool_arg_json_value(p.schema(
@@ -414,7 +400,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
             for (const auto & opt : optional_parsers) {
                 any_opt |= opt;
             }
-            args_seq = args_seq + p.repeat(p.space() + any_opt, 0, (int) optional_parsers.size());
+            args_seq = args_seq + p.repeat(p.space() + any_opt, 0, -1);
         }
 
         if (!arguments.start.empty()) {
@@ -452,14 +438,14 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
     if (!format.per_call_start.empty()) {
         auto wrapped_call = format.per_call_start + p.space() + tool_choice + p.space() + format.per_call_end;
         if (inputs.parallel_tool_calls) {
-            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call));
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.zero_or_more(p.space() + wrapped_call) + p.space());
         } else {
-            tool_calls = p.trigger_rule("tool-call", wrapped_call);
+            tool_calls = p.trigger_rule("tool-call", wrapped_call + p.space());
         }
         if (!format.section_start.empty()) {
             tool_calls = p.trigger_rule("tool-calls",
                                         p.literal(format.section_start) + p.space() + tool_calls + p.space() +
-                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end)));
+                                            (format.section_end.empty() ? p.end() : p.literal(format.section_end) + p.space()));
         }
     } else {
         std::string separator = ", ";  // Default
@@ -480,8 +466,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
 
     std::string trigger_marker       = !format.section_start.empty() ? format.section_start : format.per_call_start;
     auto        content_before_tools = trigger_marker.empty() ? p.eps() : p.until(trigger_marker);
-    return ctx.reasoning_parser + (force_tools ? p.eps() : p.optional(p.content(content_before_tools))) + tool_calls +
-           p.end();
+    return ctx.reasoning_parser + p.optional(p.content(content_before_tools)) + tool_calls + p.end();
 }
 
 }  // namespace autoparser
diff --git a/common/chat-auto-parser.h b/common/chat-auto-parser.h
index 99dd9f063..6c5474097 100644
--- a/common/chat-auto-parser.h
+++ b/common/chat-auto-parser.h
@@ -308,19 +308,23 @@ struct analyze_tools : analyze_base {
 
   private:
     // Extract tool calling 'haystack' for further analysis and delegate further analysis based on format
-    void analyze_tool_calls(const analyze_reasoning & reasoning);
+    void analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls);
 
     // Analyze format based on position of function and argument name in needle
     void analyze_tool_call_format(const std::string &       haystack,
                                   const std::string &       fun_name_needle,
                                   const std::string &       arg_name_needle,
-                                  const analyze_reasoning & reasoning);
+                                  const analyze_reasoning & reasoning,
+                                  bool                      supports_parallel_tool_calls);
 
     // Analyze specifics of JSON native format (entire tool call is a JSON object)
     void analyze_tool_call_format_json_native(const std::string & clean_haystack,
                                               const std::string & fun_name_needle,
                                               const std::string & arg_name_needle);
 
+    // Check if parallel calls in JSON native format array wrapped or tag wrapped
+    void analyze_json_native_parallel_calls();
+
     // Analyze specifics of non-JSON native format (tags for function name or for function name and arguments)
     void analyze_tool_call_format_non_json(const std::string & clean_haystack,
                                            const std::string & fun_name_needle);
diff --git a/common/chat-diff-analyzer.cpp b/common/chat-diff-analyzer.cpp
index fa3e36809..9c7c9678a 100644
--- a/common/chat-diff-analyzer.cpp
+++ b/common/chat-diff-analyzer.cpp
@@ -296,7 +296,7 @@ void analyze_reasoning::compare_reasoning_presence() {
             return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())) + p.rest());
         });
         auto parser_wrapped = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
-            return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.space() + p.tag("post", (p.marker() + p.space())) + p.rest();
+            return p.tag("pre", p.marker() + p.space()) + p.literal(reasoning_content) + p.tag("post", (p.space() + p.marker() + p.space())) + p.rest();
         });
         // try the more aggressive parse first, if it fails, fall back to the delimiter one
         auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
@@ -306,11 +306,11 @@ void analyze_reasoning::compare_reasoning_presence() {
         if (result.result.success()) {
             if (!result.tags["pre"].empty() && !result.tags["post"].empty()) {
                 mode = reasoning_mode::TAG_BASED;
-                start = trim_leading_whitespace(result.tags["pre"]);
-                end   = trim_trailing_whitespace(result.tags["post"]);
+                start = result.tags["pre"];
+                end   = result.tags["post"];
             } else if (!result.tags["post"].empty()) {
                 mode = reasoning_mode::TAG_BASED;
-                end = trim_trailing_whitespace(result.tags["post"]);
+                end = result.tags["post"];
             }
         }
     }
@@ -342,7 +342,7 @@ void analyze_reasoning::compare_thinking_enabled() {
     if (left_trimmed.empty() && !diff.right.empty()) {
         if (!right_trimmed.empty() && string_ends_with(comparison->output_B, right_trimmed)) {
             if (start.empty()) {
-                start = trim_leading_whitespace(diff.right);
+                start = diff.right;
                 mode  = reasoning_mode::TAG_BASED;
             }
         }
@@ -353,7 +353,7 @@ void analyze_reasoning::compare_thinking_enabled() {
                 if (seg.size() >= 2 && seg[seg.size() - 1].value == left_trimmed && seg[seg.size() - 2].type == segment_type::MARKER) {
                     start = seg[seg.size() - 2].value;
                 }
-                end = trim_trailing_whitespace(diff.left);
+                end = diff.left;
                 mode = reasoning_mode::TAG_BASED;
             }
         }
@@ -445,14 +445,14 @@ void analyze_reasoning::compare_reasoning_scope() {
         auto result = parser_wrapped.parse_anywhere_and_extract(comparison->output_B);
         if (result.result.success()) {
             start = result.tags["pre"];
-            end = trim_trailing_whitespace(result.tags["post"]);
+            end = result.tags["post"];
         } else {
             auto parser_delimiter = build_tagged_peg_parser([&](common_peg_parser_builder &p) {
                 return p.literal(reasoning_content) + p.space() + p.optional(p.tag("post", (p.marker() + p.space())));
             });
             result = parser_delimiter.parse_anywhere_and_extract(comparison->output_B);
             if (result.result.success()) {
-                end = trim_trailing_whitespace(result.tags["post"]);
+                end = result.tags["post"];
             } else {
                 LOG_DBG(ANSI_ORANGE "%s: Unable to extract reasoning markers, falling back to reasoning = NONE\n" ANSI_RESET, __func__);
                 mode = reasoning_mode::NONE;
@@ -558,7 +558,7 @@ analyze_tools::analyze_tools(const common_chat_template & tmpl,
     : analyze_base(tmpl) {
     LOG_DBG(ANSI_ORANGE "Phase 3: Tool call analysis\n" ANSI_RESET);
 
-    analyze_tool_calls(reasoning);
+    analyze_tool_calls(reasoning, caps.supports_parallel_tool_calls);
 
     if (format.mode != tool_format::NONE && format.mode != tool_format::JSON_NATIVE) {
         if (caps.supports_parallel_tool_calls) {
@@ -577,7 +577,7 @@ analyze_tools::analyze_tools(const common_chat_template & tmpl,
     }
 }
 
-void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
+void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning, bool supports_parallel_tool_calls) {
     json assistant_no_tools = json{
         { "role",    "assistant"   },
         { "content", ASSISTANT_MSG }
@@ -611,13 +611,14 @@ void analyze_tools::analyze_tool_calls(const analyze_reasoning & reasoning) {
         return;
     }
 
-    analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning);
+    analyze_tool_call_format(tool_section, FUN_FIRST, ARG_FIRST, reasoning, supports_parallel_tool_calls);
 }
 
 void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
                                              const std::string &       fun_name_needle,
                                              const std::string &       arg_name_needle,
-                                             const analyze_reasoning & reasoning) {
+                                             const analyze_reasoning & reasoning,
+                                             bool                      supports_parallel_tool_calls) {
     if (fun_name_needle.empty() || arg_name_needle.empty() || haystack.empty()) {
         return;
     }
@@ -660,6 +661,9 @@ void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
 
     if (format.mode == tool_format::JSON_NATIVE) {
         analyze_tool_call_format_json_native(clean_haystack, fun_name_needle, arg_name_needle);
+        if (supports_parallel_tool_calls) {
+            analyze_json_native_parallel_calls();
+        }
     } else {
         analyze_tool_call_format_non_json(clean_haystack, fun_name_needle);
     }
@@ -668,6 +672,42 @@ void analyze_tools::analyze_tool_call_format(const std::string &       haystack,
     format.per_call_end = trim_whitespace(format.per_call_end);
 }
 
+void analyze_tools::analyze_json_native_parallel_calls() {
+    json assistant_one_tool = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call }) }
+    };
+
+    json assistant_two_tools = json{
+        { "role",       "assistant" },
+        { "content",    ""          },
+        { "tool_calls", json::array({ first_tool_call, second_tool_call }) }
+    };
+
+    template_params params;
+    params.messages              = json::array({ user_msg, assistant_one_tool });
+    params.tools                 = tools;
+    params.add_generation_prompt = false;
+    params.enable_thinking       = true;
+
+    auto comparison = compare_variants(
+        *tmpl, params, [&](template_params & p) { p.messages = json::array({ user_msg, assistant_two_tools }); });
+
+    if (!comparison) {
+        LOG_DBG(ANSI_ORANGE "%s: Template application failed\n" ANSI_RESET, __func__);
+        return;
+    }
+
+    std::string & second_call = comparison->diff.right;
+    if (!format.section_start.empty() && second_call.find(format.section_start) != std::string::npos) {
+        format.per_call_start = format.section_start;
+        format.per_call_end = format.section_end;
+        format.section_start.clear();
+        format.section_end.clear();
+    }
+}
+
 void analyze_tools::analyze_tool_call_format_json_native(const std::string & clean_haystack,
                                                          const std::string & fun_name_needle,
                                                          const std::string & arg_name_needle) {
diff --git a/common/chat-peg-parser.cpp b/common/chat-peg-parser.cpp
index 624dee22f..a4818859a 100644
--- a/common/chat-peg-parser.cpp
+++ b/common/chat-peg-parser.cpp
@@ -676,7 +676,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_nested_keys(
         ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         auto nested_name = literal("\"" + nested_name_field + "\"") + space() + literal(":") + space() +
-                          literal("\"") + tool_name(literal(name)) + literal("\"");
+                          atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
         auto nested_args = literal("\"" + nested_args_field + "\"") + space() + literal(":") + space() +
                           tool_args(schema(json(), "tool-" + name + "-schema", params));
 
@@ -744,7 +744,7 @@ common_peg_parser common_chat_peg_builder::build_json_tools_flat_keys(
         ordered_json   params   = function.contains("parameters") ? function.at("parameters") : ordered_json::object();
 
         auto tool_name_ = name_key_parser + space() + literal(":") + space() +
-                         literal("\"") + tool_name(literal(name)) + literal("\"");
+                         atomic(literal("\"") + tool_name(literal(name)) + literal("\""));
         auto tool_args_ = args_key_parser + space() + literal(":") + space() +
                          tool_args(schema(json(), "tool-" + name + "-schema", params));
 
@@ -816,6 +816,32 @@ common_peg_parser common_chat_peg_builder::prefix(const std::string & s, const s
     return literal(s.substr(0, s.rfind(delimiter)));
 }
 
+common_peg_parser common_chat_peg_builder::optspace(const std::string & tag) {
+    auto parser = eps();
+    size_t end_of_prefix_space = tag.size();
+    size_t start_of_suffix_space = tag.size();
+    for (size_t i = 0; i < tag.size(); i++) {
+        if (!std::isspace(tag[i])) {
+            end_of_prefix_space = i;
+            break;
+        }
+    }
+    for (size_t i = tag.size(); i > 0; i--) {
+        if (!std::isspace(tag[i - 1])) {
+            start_of_suffix_space = i;
+            break;
+        }
+    }
+    for (size_t i = 0; i < end_of_prefix_space; i++) {
+        parser += optional(literal(std::string(1, tag[i])));
+    }
+    parser += literal(tag.substr(end_of_prefix_space, start_of_suffix_space - end_of_prefix_space));
+    for (size_t i = start_of_suffix_space; i < tag.size(); i++) {
+        parser += optional(literal(std::string(1, tag[i])));
+    }
+    return parser;
+}
+
 common_peg_parser common_chat_peg_builder::standard_json_tools(
                                                        const std::string &              section_start,
                                                        const std::string &              section_end,
diff --git a/common/chat-peg-parser.h b/common/chat-peg-parser.h
index 1ea3eb7eb..c684d7735 100644
--- a/common/chat-peg-parser.h
+++ b/common/chat-peg-parser.h
@@ -96,6 +96,9 @@ class common_chat_peg_builder : public common_peg_parser_builder {
     // Return a parser that parses the prefix of a string, up to a given delimiter.
     common_peg_parser prefix(const std::string & s, const std::string & delimiter = {});
 
+    // Return a parser that parses all elements of tag, but leading and trailing spaces are optional
+    common_peg_parser optspace(const std::string & tag);
+
     // Legacy-compatible helper for building standard JSON tool calls
     // Used by tests and manual parsers
     // name_key/args_key: JSON key names for function name and arguments
diff --git a/common/chat.cpp b/common/chat.cpp
index 5b93c5887..5364a6e01 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -397,6 +397,25 @@ json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msg
     return render_message_to_json(msgs, c);
 }
 
+json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools) {
+    if (tools.empty()) {
+        return json();
+    }
+
+    auto result = json::array();
+    for (const auto & tool : tools) {
+        result.push_back({
+            { "type",     "function" },
+            { "function", {
+                { "name", tool.name },
+                { "description", tool.description },
+                { "parameters", json::parse(tool.parameters) },
+            }},
+        });
+    }
+    return result;
+}
+
 std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const json & tools) {
     std::vector<common_chat_tool> result;
 
@@ -432,56 +451,6 @@ std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const json & too
     return result;
 }
 
-json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools) {
-    if (tools.empty()) {
-        return json();
-    }
-
-    auto result = json::array();
-    for (const auto & tool : tools) {
-        result.push_back({
-            { "type",     "function" },
-            { "function",
-             {
-                  { "name", tool.name },
-                  { "description", tool.description },
-                  { "parameters", json::parse(tool.parameters) },
-              }                      },
-        });
-    }
-    return result;
-}
-
-json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
-    json delta = json::object();
-    if (!diff.reasoning_content_delta.empty()) {
-        delta["reasoning_content"] = diff.reasoning_content_delta;
-    }
-    if (!diff.content_delta.empty()) {
-        delta["content"] = diff.content_delta;
-    }
-    if (diff.tool_call_index != std::string::npos) {
-        json tool_call;
-        tool_call["index"] = diff.tool_call_index;
-        if (!diff.tool_call_delta.id.empty()) {
-            tool_call["id"]   = diff.tool_call_delta.id;
-            tool_call["type"] = "function";
-        }
-        if (!diff.tool_call_delta.name.empty() || !diff.tool_call_delta.arguments.empty()) {
-            json function = json::object();
-            if (!diff.tool_call_delta.name.empty()) {
-                function["name"] = diff.tool_call_delta.name;
-            }
-            if (!diff.tool_call_delta.arguments.empty()) {
-                function["arguments"] = diff.tool_call_delta.arguments;
-            }
-            tool_call["function"] = function;
-        }
-        delta["tool_calls"] = json::array({ tool_call });
-    }
-    return delta;
-}
-
 bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) {
     if (use_jinja) {
         try {
@@ -575,6 +544,26 @@ bool common_chat_templates_was_explicit(const struct common_chat_templates * tmp
     return tmpls->has_explicit_template;
 }
 
+// LFM2 format detection: template uses <|tool_list_start|>[...]<|tool_list_end|> around the tool list
+// and <|tool_call_start|>[...]<|tool_call_end|> around each tool call
+static bool is_lfm2_template(const std::string & src) {
+    return src.find("<|tool_list_start|>") != std::string::npos &&
+           src.find("<|tool_list_end|>")   != std::string::npos;
+}
+
+common_chat_prompt_preset common_chat_get_asr_prompt(const common_chat_templates * chat_templates) {
+    common_chat_prompt_preset asr_preset;
+    asr_preset.system = "";
+    asr_preset.user   = "Transcribe audio to text";
+
+    if (chat_templates && chat_templates->template_default && is_lfm2_template(chat_templates->template_default->source())) {
+        asr_preset.system = "Perform ASR.";
+        asr_preset.user   = "";
+    }
+
+    return asr_preset;
+}
+
 std::string common_chat_templates_source(const struct common_chat_templates * tmpls, const std::string & variant) {
     if (!variant.empty()) {
         if (variant == "tool_use") {
@@ -865,9 +854,10 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
         adjusted_messages.push_back(adjusted);
     }
 
-    auto has_tools         = inputs.tools.is_array() && !inputs.tools.empty();
-    auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
-    auto include_grammar   = true;
+    auto has_tools            = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_response_format  = inputs.json_schema.is_object() && !inputs.json_schema.empty();
+    auto extract_reasoning    = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar      = true;
 
     data.supports_thinking  = true;
     data.thinking_start_tag = "[THINK]";
@@ -887,7 +877,7 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
             extract_reasoning ? p.optional("[THINK]" + p.reasoning(p.until("[/THINK]")) + "[/THINK]") : p.eps();
 
         // Response format parser
-        if (inputs.json_schema.is_object() && !inputs.json_schema.empty()) {
+        if (has_response_format) {
             // Ministral wants to emit json surrounded by code fences
             return generation_prompt + (reasoning << "```json" << p.content(p.schema(p.json(), "response-format", inputs.json_schema)) << "```");
         }
@@ -928,6 +918,10 @@ static common_chat_params common_chat_params_init_ministral_3(const common_chat_
                 auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -1063,6 +1057,10 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
                 auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -1082,8 +1080,18 @@ static common_chat_params common_chat_params_init_gemma4(const common_chat_templ
     common_chat_params data;
 
     data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
+
+    if (inputs.add_generation_prompt && string_ends_with(data.prompt, "<turn|>\n")) {
+        // This may happen if the model generates content + tool_call, the
+        // template does not add the model's next turn and confuses the model
+        // from emitting its proper reasoning token sequence.
+        data.prompt += "<|turn>model\n";
+    }
+
     data.format            = COMMON_CHAT_FORMAT_PEG_GEMMA4;
-    data.supports_thinking = true;
+    data.supports_thinking  = true;
+    data.thinking_start_tag = "<|channel>thought";
+    data.thinking_end_tag   = "<channel|>";
 
     data.preserved_tokens = {
         "<|channel>",
@@ -1102,12 +1110,13 @@ static common_chat_params common_chat_params_init_gemma4(const common_chat_templ
         auto start = p.rule("start", p.prefix(inputs.generation_prompt, "<|channel>"));
 
         if (extract_reasoning) {
-            p.rule("thought", p.literal("<|channel>thought\n") + p.reasoning(p.until("<channel|>")) + p.literal("<channel|>"));
+            p.rule("thought", p.literal("<|channel>thought") + p.space() + p.reasoning(p.until("<channel|>")) + p.literal("<channel|>"));
         } else {
-            p.rule("thought", p.content(p.literal("<|channel>thought\n") + p.until("<channel|>") + p.literal("<channel|>")));
+            p.rule("thought", p.content(p.literal("<|channel>thought") + p.space() + p.until("<channel|>") + p.literal("<channel|>")));
         }
 
-        auto thought = (p.peek(p.literal("<|channel>")) + p.ref("thought")) | p.negate(p.literal("<|channel>"));
+        auto consume_empty_channels = p.gbnf(p.zero_or_more(p.literal("<|channel>") + p.negate(p.literal("thought"))), "");
+        auto thought = (p.peek(p.literal("<|channel>")) + consume_empty_channels + p.ref("thought")) | p.negate(p.literal("<|channel>"));
 
         if (has_response_format) {
             auto response_format = p.literal("```json") <<
@@ -1124,7 +1133,7 @@ static common_chat_params common_chat_params_init_gemma4(const common_chat_templ
             p.rule("gemma4-bool", p.json_bool());
             p.rule("gemma4-null", p.json_null());
             p.rule("gemma4-number", p.json_number());
-            p.rule("gemma4-dict-key", p.rule("gemma4-dict-key-name", p.until(":")) + p.literal(":"));
+            p.rule("gemma4-dict-key", p.rule("gemma4-dict-key-name", p.chars("[^:}]", 1, -1)) + p.literal(":"));
             p.rule("gemma4-dict-kv", p.ref("gemma4-dict-key") + p.space() + p.ref("gemma4-value"));
             p.rule("gemma4-dict", [&]() {
                 auto ws = p.space();
@@ -1171,12 +1180,16 @@ static common_chat_params common_chat_params_init_gemma4(const common_chat_templ
                 /* max = */ inputs.parallel_tool_calls ? -1 : 1
             ));
 
-            auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<|tool_call>"})));
+            auto scan_to_toolcall = p.rule("scan-to-toolcall", p.until("<|tool_call>"));
+            auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>", "<|tool_call>"})));
             auto message = p.rule("message", thought + content);
-            return start + p.zero_or_more(message) + tool_call;
+            return start + p.zero_or_more(message) + scan_to_toolcall + tool_call;
         }
 
-        auto content = p.rule("content", p.content(p.until("<|channel>")));
+        // Gemma 4 may emit an extra <|channel>thought\n<channel|> at the end of the content. It may
+        // also emit a single trailing <channel|> token. Consume all complete reasoning blocks and
+        // then stop at the first unmatched <channel|> token.
+        auto content = p.rule("content", p.content(p.until_one_of({"<|channel>", "<channel|>"})));
         auto message = p.rule("message", thought + content);
         return start + p.one_or_more(message);
     });
@@ -1191,6 +1204,10 @@ static common_chat_params common_chat_params_init_gemma4(const common_chat_templ
                 auto         schema   = function.at("parameters");
                 builder.resolve_refs(schema);
             });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
             parser.build_grammar(builder, data.grammar_lazy);
         });
 
@@ -1641,6 +1658,173 @@ static common_chat_params common_chat_params_init_gigachat_v3(
     return data;
 }
 
+static common_chat_params common_chat_params_init_deepseek_v3_2(const common_chat_template &    tmpl,
+                                                                 const autoparser::generation_params & inputs) {
+    common_chat_params data;
+
+    data.prompt            = common_chat_template_direct_apply_impl(tmpl, inputs);
+    data.format            = COMMON_CHAT_FORMAT_PEG_NATIVE;
+    data.supports_thinking = true;
+    data.thinking_start_tag = "<think>";
+    data.thinking_end_tag   = "</think>";
+    data.preserved_tokens  = {
+        "｜DSML｜",
+        "<think>",
+        "</think>",
+    };
+
+    auto has_tools           = inputs.tools.is_array() && !inputs.tools.empty();
+    auto has_response_format = !inputs.json_schema.is_null() && inputs.json_schema.is_object();
+    auto extract_reasoning   = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
+    auto include_grammar     = has_response_format || (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE);
+
+    const std::string DSML         = "｜DSML｜";
+    const std::string THINK_START  = "<think>";
+    const std::string THINK_END    = "</think>";
+    const std::string FC_START     = "<" + DSML + "function_calls>";
+    const std::string FC_END       = "</" + DSML + "function_calls>";
+    const std::string INVOKE_START = "<" + DSML + "invoke";
+    const std::string INVOKE_END   = "</" + DSML + "invoke>";
+    const std::string PARAM_START  = "<" + DSML + "parameter";
+    const std::string PARAM_END    = "</" + DSML + "parameter>";
+
+    auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
+        auto generation_prompt = p.prefix(inputs.generation_prompt, THINK_START);
+        auto end = p.end();
+
+        auto reasoning = p.eps();
+        if (extract_reasoning && inputs.enable_thinking) {
+            reasoning = p.optional(THINK_START + p.reasoning(p.until(THINK_END)) + THINK_END);
+        } else if (extract_reasoning) {
+            // Thinking disabled but reasoning extraction requested: the generation prompt
+            // contains an empty <think></think> pair that must still be consumed.
+            reasoning = p.optional(p.literal(THINK_START) + p.until(THINK_END) + p.literal(THINK_END));
+        }
+
+        if (has_response_format) {
+            auto response_format = p.rule("response-format",
+                p.literal("```json") + p.space() +
+                p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)) +
+                p.space() + p.literal("```"));
+            return generation_prompt + reasoning + response_format + end;
+        }
+
+        if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+            return generation_prompt + reasoning + p.content(p.rest()) + end;
+        }
+
+        auto tool_choice = p.choice();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            std::string  name     = function.at("name");
+            auto params   = function.contains("parameters") ? function.at("parameters") : json::object();
+            const auto & props    = params.contains("properties") ? params.at("properties") : json::object();
+
+            std::set<std::string> required;
+            if (params.contains("required")) {
+                params.at("required").get_to(required);
+            }
+
+            auto schema_info = common_schema_info();
+            schema_info.resolve_refs(params);
+
+            std::vector<common_peg_parser> required_parsers;
+            std::vector<common_peg_parser> optional_parsers;
+            for (const auto & [param_name, param_schema] : props.items()) {
+                bool is_required = required.find(param_name) != required.end();
+                bool is_string   = schema_info.resolves_to_string(param_schema);
+
+                auto arg = p.tool_arg(
+                    p.tool_arg_open(
+                        p.literal(PARAM_START + " name=\"") +
+                        p.tool_arg_name(p.literal(param_name)) +
+                        p.literal("\" string=\"" + std::string(is_string ? "true" : "false") + "\">")) +
+                    (is_string
+                         ? p.tool_arg_string_value(p.until(PARAM_END))
+                         : p.tool_arg_json_value(p.schema(p.json(),
+                                                          "tool-" + name + "-arg-" + param_name + "-schema",
+                                                          param_schema, false))) +
+                    p.tool_arg_close(p.literal(PARAM_END)));
+
+                auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
+                if (is_required) {
+                    required_parsers.push_back(named_arg);
+                } else {
+                    optional_parsers.push_back(named_arg);
+                }
+            }
+
+            common_peg_parser args_seq = p.eps();
+            for (size_t i = 0; i < required_parsers.size(); i++) {
+                if (i > 0) {
+                    args_seq = args_seq + p.space();
+                }
+                args_seq = args_seq + required_parsers[i];
+            }
+
+            if (!optional_parsers.empty()) {
+                common_peg_parser any_opt = p.choice();
+                for (const auto & opt : optional_parsers) {
+                    any_opt |= opt;
+                }
+                args_seq = args_seq + p.repeat(p.space() + any_opt, 0, -1);
+            }
+
+            common_peg_parser invoke_body = args_seq;
+            auto func_parser = p.tool(
+                p.tool_open(p.literal(INVOKE_START + " name=\"") +
+                            p.tool_name(p.literal(name)) + p.literal("\">\n")) +
+                invoke_body + p.space() +
+                p.tool_close(p.literal(INVOKE_END)));
+
+            tool_choice |= p.rule("tool-" + name, func_parser);
+        });
+
+        auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+
+        common_peg_parser tool_calls = p.eps();
+        if (inputs.parallel_tool_calls) {
+            tool_calls = p.trigger_rule("tool-call",
+                p.literal(FC_START) + p.space() + tool_choice +
+                p.zero_or_more(p.space() + tool_choice) + p.space() + p.literal(FC_END));
+        } else {
+            tool_calls = p.trigger_rule("tool-call",
+                p.literal(FC_START) + p.space() + tool_choice + p.space() + p.literal(FC_END));
+        }
+
+        if (!require_tools) {
+            tool_calls = p.optional(tool_calls);
+        }
+
+        auto content_before_tools = p.content(p.until(FC_START));
+        return generation_prompt + reasoning + content_before_tools + tool_calls + end;
+    });
+
+    data.parser = parser.save();
+
+    if (include_grammar) {
+        data.grammar_lazy = !(has_response_format || (has_tools && inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED));
+        data.grammar      = build_grammar([&](const common_grammar_builder & builder) {
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                auto         schema   = function.contains("parameters") ? function.at("parameters") : json::object();
+                builder.resolve_refs(schema);
+            });
+            if (has_response_format) {
+                auto schema = inputs.json_schema;
+                builder.resolve_refs(schema);
+            }
+            parser.build_grammar(builder, data.grammar_lazy);
+        });
+
+        data.grammar_triggers = {
+            { COMMON_GRAMMAR_TRIGGER_TYPE_WORD, FC_START },
+        };
+    }
+
+    return data;
+}
+
 namespace workaround {
 
 static void map_developer_role_to_system(json & messages) {
@@ -1889,10 +2073,7 @@ std::optional<common_chat_params> common_chat_try_specialized_template(
         return common_chat_params_init_kimi_k2(tmpl, params);
     }
 
-    // LFM2 format detection: template uses <|tool_list_start|>[...]<|tool_list_end|> around the tool list
-    // and <|tool_call_start|>[...]<|tool_call_end|> around each tool call
-    if (src.find("<|tool_list_start|>") != std::string::npos &&
-        src.find("<|tool_list_end|>") != std::string::npos) {
+    if (is_lfm2_template(src)) {
         LOG_DBG("Using specialized template: LFM2\n");
         return common_chat_params_init_lfm2(tmpl, params);
     }
@@ -1912,31 +2093,61 @@ std::optional<common_chat_params> common_chat_try_specialized_template(
         return common_chat_params_init_gigachat_v3(tmpl, params);
     }
 
+    // DeepSeek V3.2 format detection: template defines dsml_token and uses it for tool calls.
+    // The template source contains the token as a variable assignment, not as a literal in markup.
+    if (src.find("dsml_token") != std::string::npos &&
+        src.find("function_calls") != std::string::npos &&
+        src.find("DSML") != std::string::npos) {
+        LOG_DBG("Using specialized template: DeepSeek V3.2\n");
+        return common_chat_params_init_deepseek_v3_2(tmpl, params);
+    }
+
     // Gemma4 format detection
     if (src.find("'<|tool_call>call:'") != std::string::npos) {
-        workaround::convert_tool_responses_gemma4(params.messages);
+        if (src.find("{#- OpenAI Chat Completions:") == std::string::npos) {
+            // apply workarounds if using the older gemma4 templates
+            LOG_WRN("%s: detected an outdated gemma4 chat template, applying compatibility workarounds. "
+                    "Consider updating to the official template.\n", __func__);
+            workaround::convert_tool_responses_gemma4(params.messages);
+        }
         return common_chat_params_init_gemma4(tmpl, params);
     }
 
     return std::nullopt;
 }
 
+static std::string common_chat_templates_generation_prompt(const common_chat_template & tmpl, const autoparser::generation_params & inputs) {
+    autoparser::generation_params params = inputs;
+    params.add_generation_prompt = false;
+    std::string no_gen_prompt    = common_chat_template_direct_apply_impl(tmpl, params);
+    params.add_generation_prompt = true;
+    std::string gen_prompt       = common_chat_template_direct_apply_impl(tmpl, params);
+
+    size_t prefix_len = 0;
+    size_t min_size = std::min(no_gen_prompt.size(), gen_prompt.size());
+    while (prefix_len < min_size && no_gen_prompt[prefix_len] == gen_prompt[prefix_len]) {
+        prefix_len++;
+    }
+    return gen_prompt.substr(prefix_len);
+}
+
 static common_chat_params common_chat_templates_apply_jinja(const struct common_chat_templates *        tmpls,
                                                             const struct common_chat_templates_inputs & inputs) {
     autoparser::generation_params params;
     params.tools = common_chat_tools_to_json_oaicompat(inputs.tools);
     const auto & tmpl =
         params.tools.is_array() && tmpls->template_tool_use ? *tmpls->template_tool_use : *tmpls->template_default;
-    const auto & src        = tmpl.source();
-    const auto & caps       = tmpl.original_caps();
-    params.messages         = render_message_to_json(inputs.messages, tmpl.original_caps());
-    params.tool_choice      = inputs.tool_choice;
-    params.reasoning_format = inputs.reasoning_format;
-    params.enable_thinking  = inputs.enable_thinking;
-    params.grammar          = inputs.grammar;
-    params.now              = inputs.now;
-    params.add_bos          = tmpls->add_bos;
-    params.add_eos          = tmpls->add_eos;
+    const auto & src             = tmpl.source();
+    const auto & caps            = tmpl.original_caps();
+    params.messages              = render_message_to_json(inputs.messages, tmpl.original_caps());
+    params.tool_choice           = inputs.tool_choice;
+    params.reasoning_format      = inputs.reasoning_format;
+    params.enable_thinking       = inputs.enable_thinking;
+    params.grammar               = inputs.grammar;
+    params.now                   = inputs.now;
+    params.add_generation_prompt = inputs.add_generation_prompt;
+    params.add_bos               = tmpls->add_bos;
+    params.add_eos               = tmpls->add_eos;
 
     if (src.find("<|channel|>") == std::string::npos) {
         // map developer to system for all models except for GPT-OSS
@@ -1958,14 +2169,7 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         workaround::func_args_not_string(params.messages);
     }
 
-    params.add_generation_prompt = false;
-    std::string no_gen_prompt    = common_chat_template_direct_apply_impl(tmpl, params);
-    params.add_generation_prompt = true;
-    std::string gen_prompt       = common_chat_template_direct_apply_impl(tmpl, params);
-    auto        diff             = calculate_diff_split(no_gen_prompt, gen_prompt);
-    params.generation_prompt     = diff.right;
-
-    params.add_generation_prompt = inputs.add_generation_prompt;
+    params.generation_prompt = common_chat_templates_generation_prompt(tmpl, params);
 
     params.extra_context = common_chat_extra_context();
     for (auto el : inputs.chat_template_kwargs) {
@@ -2017,8 +2221,8 @@ static common_chat_params common_chat_templates_apply_jinja(const struct common_
         auto auto_params = autoparser::peg_generator::generate_parser(tmpl, params, autoparser);
         auto_params.supports_thinking = autoparser.reasoning.mode != autoparser::reasoning_mode::NONE;
         if (auto_params.supports_thinking) {
-            auto_params.thinking_start_tag = autoparser.reasoning.start;
-            auto_params.thinking_end_tag   = autoparser.reasoning.end;
+            auto_params.thinking_start_tag = trim_whitespace(autoparser.reasoning.start);
+            auto_params.thinking_end_tag   = trim_whitespace(autoparser.reasoning.end);
         }
         auto_params.generation_prompt = params.generation_prompt;
         common_peg_arena arena;
@@ -2125,7 +2329,7 @@ common_chat_msg common_chat_peg_parse(const common_peg_arena &          src_pars
         ? input
         : params.generation_prompt + input;
 
-    LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), effective_input.c_str());
+    //LOG_DBG("Parsing PEG input with format %s: %s\n", common_chat_format_name(params.format), effective_input.c_str());
 
     common_peg_parse_flags flags = COMMON_PEG_PARSE_FLAG_LENIENT;
     if (params.debug) {
@@ -2187,4 +2391,3 @@ std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_tem
     GGML_ASSERT(chat_templates->template_default != nullptr);
     return chat_templates->template_default->caps.to_map();
 }
-
diff --git a/common/chat.h b/common/chat.h
index b06ca37fd..01a47b383 100644
--- a/common/chat.h
+++ b/common/chat.h
@@ -256,14 +256,13 @@ bool common_chat_templates_support_enable_thinking(const common_chat_templates *
 // Parses a JSON array of messages in OpenAI's chat completion API format.
 std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const nlohmann::ordered_json & messages);
 
+std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
+
 // DEPRECATED: only used in tests
 nlohmann::ordered_json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
 
-std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const nlohmann::ordered_json & tools);
 nlohmann::ordered_json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
 
-nlohmann::ordered_json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
-
 // get template caps, useful for reporting to server /props endpoint
 std::map<std::string, bool> common_chat_templates_get_caps(const common_chat_templates * chat_templates);
 
@@ -275,3 +274,11 @@ std::optional<common_chat_params> common_chat_try_specialized_template(
         const common_chat_template &          tmpl,
         const std::string &                   src,
         autoparser::generation_params & params);
+
+// specialized per-task preset
+struct common_chat_prompt_preset {
+    std::string system;
+    std::string user;
+};
+
+common_chat_prompt_preset common_chat_get_asr_prompt(const common_chat_templates * chat_templates);
diff --git a/common/common.cpp b/common/common.cpp
index 0bdf09d11..548bdfb92 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1,7 +1,9 @@
 #include "ggml.h"
 #include "gguf.h"
 
+#include "build-info.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 #include "llama.h"
 #include "sampling.h"
@@ -74,7 +76,7 @@ common_time_meas::~common_time_meas() {
 // CPU utils
 //
 
-int32_t cpu_get_num_physical_cores() {
+int32_t common_cpu_get_num_physical_cores() {
 #ifdef __linux__
     // enumerate the set of thread siblings, num entries is num cores
     std::unordered_set<std::string> siblings;
@@ -189,11 +191,11 @@ static int cpu_count_math_cpus(int n_cpu) {
 /**
  * Returns number of CPUs on system that are useful for math.
  */
-int32_t cpu_get_num_math() {
+int32_t common_cpu_get_num_math() {
 #if defined(__x86_64__) && defined(__linux__) && !defined(__ANDROID__)
     int n_cpu = sysconf(_SC_NPROCESSORS_ONLN);
     if (n_cpu < 1) {
-        return cpu_get_num_physical_cores();
+        return common_cpu_get_num_physical_cores();
     }
     if (is_hybrid_cpu()) {
         cpu_set_t affinity;
@@ -206,7 +208,7 @@ int32_t cpu_get_num_math() {
         }
     }
 #endif
-    return cpu_get_num_physical_cores();
+    return common_cpu_get_num_physical_cores();
 }
 
 // Helper for setting process priority
@@ -267,7 +269,7 @@ bool set_process_priority(enum ggml_sched_priority prio) {
 //
 
 
-void postprocess_cpu_params(cpu_params& cpuparams, const cpu_params* role_model) {
+void postprocess_cpu_params(common_cpu_params & cpuparams, const common_cpu_params * role_model) {
     int32_t n_set = 0;
 
     if (cpuparams.n_threads < 0) {
@@ -275,7 +277,7 @@ void postprocess_cpu_params(cpu_params& cpuparams, const cpu_params* role_model)
         if (role_model != nullptr) {
             cpuparams = *role_model;
         } else {
-            cpuparams.n_threads = cpu_get_num_math();
+            cpuparams.n_threads = common_cpu_get_num_math();
         }
     }
 
@@ -378,7 +380,7 @@ void common_init() {
     const char * build_type = " (debug)";
 #endif
 
-    LOG_DBG("build: %d (%s) with %s for %s%s\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT, LLAMA_COMPILER, LLAMA_BUILD_TARGET, build_type);
+    LOG_DBG("build: %d (%s) with %s for %s%s\n", llama_build_number(), llama_commit(), llama_compiler(), llama_build_target(), build_type);
 }
 
 std::string common_params_get_system_info(const common_params & params) {
@@ -1152,7 +1154,7 @@ common_init_result::common_init_result(common_params & params) :
 
     if (params.fit_params) {
         LOG_INF("%s: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on\n", __func__);
-        llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
+        common_fit_params(params.model.path.c_str(), &mparams, &cparams,
             params.tensor_split,
             params.tensor_buft_overrides.data(),
             params.fit_params_target.data(),
@@ -1387,7 +1389,7 @@ common_init_result_ptr common_init_from_params(common_params & params) {
 
 common_init_result::~common_init_result() = default;
 
-std::string get_model_endpoint() {
+std::string common_get_model_endpoint() {
     const char * model_endpoint_env = getenv("MODEL_ENDPOINT");
     // We still respect the use of environment-variable "HF_ENDPOINT" for backward-compatibility.
     const char * hf_endpoint_env = getenv("HF_ENDPOINT");
@@ -1402,6 +1404,42 @@ std::string get_model_endpoint() {
     return model_endpoint;
 }
 
+common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx) {
+    auto * mem = llama_get_memory(ctx);
+    if (mem == nullptr) {
+        return COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+    }
+
+    common_context_seq_rm_type res = COMMON_CONTEXT_SEQ_RM_TYPE_PART;
+
+    llama_memory_clear(mem, true);
+
+    // eval 2 tokens to check if the context is compatible
+    std::vector<llama_token> tmp;
+    tmp.push_back(0);
+    tmp.push_back(0);
+
+    int ret = llama_decode(ctx, llama_batch_get_one(tmp.data(), tmp.size()));
+    if (ret != 0) {
+        LOG_ERR("%s: llama_decode() failed: %d\n", __func__, ret);
+        res = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+        goto done;
+    }
+
+    // try to remove the last tokens
+    if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
+        LOG_WRN("%s: the target context does not support partial sequence removal\n", __func__);
+        res = COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
+        goto done;
+    }
+
+done:
+    llama_memory_clear(mem, true);
+    llama_synchronize(ctx);
+
+    return res;
+}
+
 void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora) {
     std::vector<llama_adapter_lora *> loras;
     std::vector<float> scales;
@@ -1490,7 +1528,7 @@ struct llama_context_params common_context_params_to_llama(const common_params &
     return cparams;
 }
 
-struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params) {
+struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const common_cpu_params & params) {
     struct ggml_threadpool_params tpp;
 
     ggml_threadpool_params_init(&tpp, params.n_threads); // setup the defaults
diff --git a/common/common.h b/common/common.h
index e2250ff98..6319409ae 100644
--- a/common/common.h
+++ b/common/common.h
@@ -2,15 +2,15 @@
 
 #pragma once
 
+#include "llama-cpp.h"
+
 #include "ggml-opt.h"
 #include "ggml.h"
-#include "llama-cpp.h"
 
 #include <set>
 #include <sstream>
 #include <string>
 #include <string_view>
-#include <variant>
 #include <vector>
 #include <map>
 
@@ -27,11 +27,6 @@
 #define die(msg)          do { fputs("error: " msg "\n", stderr);                exit(1); } while (0)
 #define die_fmt(fmt, ...) do { fprintf(stderr, "error: " fmt "\n", __VA_ARGS__); exit(1); } while (0)
 
-#define print_build_info() do {                                                                     \
-    fprintf(stderr, "%s: build = %d (%s)\n",      __func__, LLAMA_BUILD_NUMBER, LLAMA_COMMIT);      \
-    fprintf(stderr, "%s: built with %s for %s\n", __func__, LLAMA_COMPILER, LLAMA_BUILD_TARGET);    \
-} while(0)
-
 struct common_time_meas {
     common_time_meas(int64_t & t_acc, bool disable = false);
     ~common_time_meas();
@@ -53,21 +48,13 @@ struct common_adapter_lora_info {
 
 using llama_tokens = std::vector<llama_token>;
 
-// build info
-extern int LLAMA_BUILD_NUMBER;
-extern const char * LLAMA_COMMIT;
-extern const char * LLAMA_COMPILER;
-extern const char * LLAMA_BUILD_TARGET;
-
-const static std::string build_info("b" + std::to_string(LLAMA_BUILD_NUMBER) + "-" + LLAMA_COMMIT);
-
 struct common_control_vector_load_info;
 
 //
 // CPU utils
 //
 
-struct cpu_params {
+struct common_cpu_params {
     int      n_threads                   = -1;
     bool     cpumask[GGML_MAX_N_THREADS] = {false}; // CPU affinity mask.
     bool     mask_valid                  = false;   // Default: any CPU
@@ -76,8 +63,8 @@ struct cpu_params {
     uint32_t poll                        = 50;      // Polling (busywait) level (0 - no polling, 100 - mostly polling)
 };
 
-int32_t cpu_get_num_physical_cores();
-int32_t cpu_get_num_math();
+int32_t common_cpu_get_num_physical_cores();
+int32_t common_cpu_get_num_math();
 
 //
 // Common params
@@ -287,6 +274,7 @@ struct common_params_sampling {
     std::vector<llama_token> reasoning_budget_start;           // start tag token sequence
     std::vector<llama_token> reasoning_budget_end;             // end tag token sequence
     std::vector<llama_token> reasoning_budget_forced;          // forced sequence (message + end tag)
+    std::string              reasoning_budget_message;         // message injected before end tag when budget exhausted
 
     bool backend_sampling = false;
 
@@ -309,34 +297,19 @@ struct common_params_model {
 
 struct common_ngram_mod;
 
-struct common_params_speculative {
-    common_speculative_type type = COMMON_SPECULATIVE_TYPE_NONE; // type of speculative decoding
-
-    // general-purpose speculative decoding parameters
-
-    int32_t n_max   = 16; // maximum number of tokens to draft during speculative decoding
-    int32_t n_min   = 0; // minimum number of draft tokens to use for speculative decoding
-    float   p_split = 0.1f; // speculative decoding split probability
-    float   p_min   = 0.75f; // minimum speculative decoding probability (greedy)
-
-    // ngram-based speculative decoding
+// draft-model-based speculative decoding parameters
+struct common_params_speculative_draft {
+    int32_t n_max = 16; // maximum number of tokens to draft during speculative decoding
+    int32_t n_min = 0;  // minimum number of draft tokens to use for speculative decoding
 
-    uint16_t ngram_size_n     = 12; // ngram size for lookup
-    uint16_t ngram_size_m     = 48; // mgram size for speculative tokens
-    uint16_t ngram_min_hits   =  1; // minimum hits at ngram/mgram lookup for mgram to be proposed
+    float p_split = 0.1f;  // speculative decoding split probability
+    float p_min   = 0.75f; // minimum speculative decoding probability (greedy)
 
-    std::shared_ptr<common_ngram_mod> ngram_mod;
+    common_params_model mparams;
 
-    std::string lookup_cache_static;  // path of static ngram cache file for lookup decoding           // NOLINT
-    std::string lookup_cache_dynamic; // path of dynamic ngram cache file for lookup decoding          // NOLINT
+    llama_model * model = nullptr; // a llama_model that can be shared by multiple speculative contexts
 
-    // draft-model speculative decoding
-
-    struct common_params_model mparams_dft;
-
-    llama_model * model_dft = nullptr; // a llama_model that can be shared by multiple speculative contexts
-
-    llama_context_params cparams_dft; // these are the parameters for the draft llama_context
+    llama_context_params cparams; // these are the parameters for the draft llama_context
 
     int32_t n_ctx        = 0;  // draft context size
     int32_t n_gpu_layers = -1; // number of layers to store in VRAM for the draft model (-1 - use default)
@@ -344,25 +317,60 @@ struct common_params_speculative {
     ggml_type cache_type_k = GGML_TYPE_F16; // KV cache data type for the K
     ggml_type cache_type_v = GGML_TYPE_F16; // KV cache data type for the V
 
-    struct cpu_params cpuparams;
-    struct cpu_params cpuparams_batch;
+    common_cpu_params cpuparams;
+    common_cpu_params cpuparams_batch;
 
     std::vector<ggml_backend_dev_t> devices; // devices to use for offloading
 
     std::vector<std::pair<std::string, std::string>> replacements; // main to speculative model replacements
     std::vector<llama_model_tensor_buft_override> tensor_buft_overrides;
+};
+
+struct common_params_speculative_ngram_mod {
+    int32_t n_match = 24;
+
+    int32_t n_max = 64;
+    int32_t n_min = 48;
+
+    // shared instance of the ngram container for all speculative decoding contexts
+    std::shared_ptr<common_ngram_mod> obj;
+};
+
+struct common_params_speculative_ngram_map {
+    uint16_t size_n   = 12; // ngram size for lookup
+    uint16_t size_m   = 48; // mgram size for speculative tokens
+    uint16_t min_hits = 1;  // minimum hits at ngram/mgram lookup for mgram to be proposed
+};
+
+struct common_params_speculative_ngram_cache {
+    std::string lookup_cache_static;  // path of static ngram cache file for lookup decoding
+    std::string lookup_cache_dynamic; // path of dynamic ngram cache file for lookup decoding
+};
+
+struct common_params_speculative {
+    // TODO: become a vector in order to support "chains of speculators"
+    common_speculative_type type = COMMON_SPECULATIVE_TYPE_NONE;
+
+    common_params_speculative_draft draft;
+
+    common_params_speculative_ngram_mod ngram_mod;
+    common_params_speculative_ngram_map ngram_simple;
+    common_params_speculative_ngram_map ngram_map_k;
+    common_params_speculative_ngram_map ngram_map_k4v;
+
+    common_params_speculative_ngram_cache ngram_cache;
 
     bool has_dft() const {
-        return !mparams_dft.path.empty() || !mparams_dft.hf_repo.empty();
+        return !draft.mparams.path.empty() || !draft.mparams.hf_repo.empty();
     }
 };
 
 struct common_params_vocoder {
     struct common_params_model model;
 
-    std::string speaker_file = ""; // speaker file path                                      // NOLINT
+    std::string speaker_file; // speaker file path
 
-    bool use_guide_tokens = false; // enable guide tokens to improve TTS accuracy            // NOLINT
+    bool use_guide_tokens = false; // enable guide tokens to improve TTS accuracy
 };
 
 struct common_params_diffusion {
@@ -433,19 +441,20 @@ struct common_params {
     // offload params
     std::vector<ggml_backend_dev_t> devices; // devices to use for offloading
 
-    int32_t n_gpu_layers       = -1;   // number of layers to store in VRAM, -1 is auto, <= -2 is all
-    int32_t main_gpu           = 0;    // the GPU that is used for scratch and small tensors
-    float   tensor_split[128]  = {0};  // how split tensors should be distributed across GPUs
-    bool    fit_params         = true; // whether to fit unset model/context parameters to free device memory
-    int32_t fit_params_min_ctx = 4096; // minimum context size to set when trying to reduce memory use
+    int32_t n_gpu_layers       = -1;    // number of layers to store in VRAM, -1 is auto, <= -2 is all
+    int32_t main_gpu           = 0;     // the GPU that is used for scratch and small tensors
+    float   tensor_split[128]  = {0};   // how split tensors should be distributed across GPUs
+    bool    fit_params         = true;  // whether to fit unset model/context parameters to free device memory
+    bool    fit_params_print   = false; // print the estimated required memory to run the model
+    int32_t fit_params_min_ctx = 4096;  // minimum context size to set when trying to reduce memory use
 
     // margin per device in bytes for fitting parameters to free memory:
     std::vector<size_t> fit_params_target = std::vector<size_t>(llama_max_devices(), 1024 * 1024*1024);
 
     enum llama_split_mode split_mode = LLAMA_SPLIT_MODE_LAYER; // how to split the model across GPUs
 
-    struct cpu_params cpuparams;
-    struct cpu_params cpuparams_batch;
+    common_cpu_params cpuparams;
+    common_cpu_params cpuparams_batch;
 
     ggml_backend_sched_eval_callback cb_eval = nullptr;
     void * cb_eval_user_data                 = nullptr;
@@ -580,7 +589,7 @@ struct common_params {
     int32_t n_threads_http      = -1;    // number of threads to process HTTP requests (TODO: support threadpool)
     int32_t n_cache_reuse       = 0;     // min chunk size to reuse from the cache via KV shifting
     bool    cache_prompt        = true;  // whether to enable prompt caching
-    bool    clear_idle          = true;  // save and clear idle slots upon starting a new task
+    bool    cache_idle_slots    = true;  // save and clear idle slots upon starting a new task
     int32_t n_ctx_checkpoints   = 32;    // max number of context checkpoints per slot
     int32_t checkpoint_every_nt = 8192;  // make a checkpoint every n tokens during prefill
     int32_t cache_ram_mib       = 8192;  // -1 = no limit, 0 - disable, 1 = 1 MiB, etc.
@@ -594,8 +603,6 @@ struct common_params {
     bool force_pure_content_parser = false;
     common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK;
     int enable_reasoning = -1; // -1 = auto, 0 = disable, 1 = enable
-    int reasoning_budget = -1;
-    std::string reasoning_budget_message; // message injected before end tag when budget exhausted
     bool prefill_assistant = true; // if true, any trailing assistant message will be prefilled into the response
     int sleep_idle_seconds = -1;   // if >0, server will sleep after this many seconds of idle time
 
@@ -692,7 +699,7 @@ std::string common_params_get_system_info(const common_params & params);
 
 bool parse_cpu_range(const std::string & range, bool(&boolmask)[GGML_MAX_N_THREADS]);
 bool parse_cpu_mask(const std::string & mask, bool(&boolmask)[GGML_MAX_N_THREADS]);
-void postprocess_cpu_params(cpu_params & cpuparams, const cpu_params * role_model = nullptr);
+void postprocess_cpu_params(common_cpu_params & cpuparams, const common_cpu_params * role_model = nullptr);
 bool set_process_priority(enum ggml_sched_priority prio);
 
 //
@@ -760,6 +767,11 @@ inline bool string_starts_with(std::string_view str, std::string_view prefix) {
            str.compare(0, prefix.size(), prefix) == 0;
 }
 
+// remove when moving to c++20
+inline bool string_starts_with(std::string_view str, char prefix) {
+    return !str.empty() && str.front() == prefix;
+}
+
 // remove when moving to c++20
 inline bool string_ends_with(std::string_view str, std::string_view suffix) {
     return str.size() >= suffix.size() &&
@@ -855,12 +867,28 @@ common_init_result_ptr common_init_from_params(common_params & params);
 
 struct llama_model_params     common_model_params_to_llama  (      common_params & params);
 struct llama_context_params   common_context_params_to_llama(const common_params & params);
-struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params);
+struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const common_cpu_params & params);
 
 // clear LoRA adapters from context, then apply new list of adapters
 void common_set_adapter_lora(struct llama_context * ctx, std::vector<common_adapter_lora_info> & lora);
 
-std::string                   get_model_endpoint();
+// model endpoint from env
+std::string common_get_model_endpoint();
+
+//
+// Context utils
+//
+
+enum common_context_seq_rm_type {
+    COMMON_CONTEXT_SEQ_RM_TYPE_NO   = 0, // seq_rm not supported (e.g. no memory module)
+    COMMON_CONTEXT_SEQ_RM_TYPE_PART = 1, // can seq_rm partial sequences
+    COMMON_CONTEXT_SEQ_RM_TYPE_FULL = 2, // can seq_rm full sequences only
+};
+
+// check if the llama_context can remove sequences
+// note: clears the memory of the context
+common_context_seq_rm_type common_context_can_seq_rm(llama_context * ctx);
+
 
 //
 // Batch utils
diff --git a/common/console.cpp b/common/console.cpp
index a770416ab..36f645f33 100644
--- a/common/console.cpp
+++ b/common/console.cpp
@@ -700,13 +700,13 @@ namespace console {
         std::vector<std::string> entries;
         size_t viewing_idx = SIZE_MAX;
         std::string backup_line; // current line before viewing history
-        void add(const std::string & line) {
+        void add(std::string_view line) {
             if (line.empty()) {
                 return;
             }
             // avoid duplicates with the last entry
             if (entries.empty() || entries.back() != line) {
-                entries.push_back(line);
+                entries.emplace_back(line);
             }
             // also clear viewing state
             end_viewing();
@@ -1031,11 +1031,12 @@ namespace console {
 
         if (!end_of_stream && !line.empty()) {
             // remove the trailing newline for history storage
+            std::string_view hline = line;
             if (!line.empty() && line.back() == '\n') {
-                line.pop_back();
+                hline.remove_suffix(1);
             }
             // TODO: maybe support multiline history entries?
-            history.add(line);
+            history.add(hline);
         }
 
         fflush(out);
diff --git a/common/debug.cpp b/common/debug.cpp
index 0df409a79..102c6924d 100644
--- a/common/debug.cpp
+++ b/common/debug.cpp
@@ -1,9 +1,38 @@
 #include "debug.h"
 
+#include "common.h"
 #include "log.h"
 
 #include <cmath>
+#include <regex>
 #include <string>
+#include <vector>
+
+struct common_debug_cb_user_data::impl {
+    std::vector<uint8_t>    data;
+    std::vector<std::regex> tensor_filters;
+    bool                    abort_on_nan{false};
+};
+
+common_debug_cb_user_data::common_debug_cb_user_data() : pimpl(std::make_unique<impl>()) {}
+common_debug_cb_user_data::~common_debug_cb_user_data() = default;
+
+common_debug_cb_user_data::common_debug_cb_user_data(common_params & params, const std::vector<std::string> & filter_patterns, bool abort_on_nan)
+    : pimpl(std::make_unique<impl>())
+{
+    for (const auto & pattern : filter_patterns) {
+        try {
+            std::string anchored_pattern = "^" + pattern;
+            pimpl->tensor_filters.emplace_back(anchored_pattern, std::regex::optimize);
+        } catch (const std::regex_error & e) {
+            throw std::runtime_error("Invalid regex pattern '" + pattern + "': " + e.what());
+        }
+    }
+    pimpl->abort_on_nan = abort_on_nan;
+
+    params.cb_eval           = common_debug_cb_eval;
+    params.cb_eval_user_data = this;
+}
 
 static std::string common_ggml_ne_string(const ggml_tensor * t) {
     std::string str;
@@ -47,8 +76,7 @@ static float common_ggml_get_float_value(const uint8_t * data,
 
 #define INDENT "    "
 
-template <bool abort>
-void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n) {
+static void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n, bool abort_on_nan) {
     GGML_ASSERT(n > 0);
     float sum = 0;
     for (int64_t i3 = 0; i3 < ne[3]; i3++) {
@@ -94,7 +122,7 @@ void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * n
         LOG(INDENT "sum = %f\n", sum);
     }
 
-    if constexpr (abort) {
+    if (abort_on_nan) {
         if (std::isnan(sum)) {
             LOG("encountered NaN - aborting\n");
             exit(0);
@@ -112,8 +140,9 @@ void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * n
  * @param user_data user data to pass at each call back
  * @return true to receive data or continue the graph, false otherwise
  */
-template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
-    auto * cb_data = (base_callback_data *) user_data;
+bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
+    auto * cb_data = (common_debug_cb_user_data *) user_data;
+    auto * pimpl = cb_data->pimpl.get();
 
     const struct ggml_tensor * src0 = t->src[0];
     const struct ggml_tensor * src1 = t->src[1];
@@ -122,10 +151,10 @@ template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, b
         return true;  // Always retrieve data
     }
 
-    bool matches_filter = cb_data->tensor_filters.empty();
+    bool matches_filter = pimpl->tensor_filters.empty();
 
     if (!matches_filter) {
-        for (const auto & filter : cb_data->tensor_filters) {
+        for (const auto & filter : pimpl->tensor_filters) {
             if (std::regex_search(t->name, filter)) {
                 matches_filter = true;
                 break;
@@ -148,20 +177,14 @@ template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, b
 
     if (!is_host) {
         auto n_bytes = ggml_nbytes(t);
-        cb_data->data.resize(n_bytes);
-        ggml_backend_tensor_get(t, cb_data->data.data(), 0, n_bytes);
+        pimpl->data.resize(n_bytes);
+        ggml_backend_tensor_get(t, pimpl->data.data(), 0, n_bytes);
     }
 
     if (!ggml_is_quantized(t->type) && matches_filter) {
-        uint8_t * data = is_host ? (uint8_t *) t->data : cb_data->data.data();
-        common_debug_print_tensor<abort_on_nan>(data, t->type, t->ne, t->nb, 3);
+        uint8_t * data = is_host ? (uint8_t *) t->data : pimpl->data.data();
+        common_debug_print_tensor(data, t->type, t->ne, t->nb, 3, pimpl->abort_on_nan);
     }
 
     return true;
 }
-
-// Explicit template instantiations
-template bool common_debug_cb_eval<false>(ggml_tensor *, bool, void *);
-template bool common_debug_cb_eval<true>(ggml_tensor *, bool, void *);
-template void common_debug_print_tensor<false>(uint8_t *, ggml_type, const int64_t *, const size_t *, int64_t);
-template void common_debug_print_tensor<true>(uint8_t *, ggml_type, const int64_t *, const size_t *, int64_t);
diff --git a/common/debug.h b/common/debug.h
index e563b40d6..8b8f8c7aa 100644
--- a/common/debug.h
+++ b/common/debug.h
@@ -1,43 +1,31 @@
 #pragma once
-#include "common.h"
+
+#include <memory>
 #include <string>
 #include <vector>
-#include <regex>
 
 // common debug functions and structs
 
-// Print a tensor's detailed data
-// data - the tensor's data in byte format
-// type - the tensor's quantization type
-// ne   - the tensor dimensions array
-// nb   - the tensor strides array
-// n    - the number of rows/columns to fully print
-template <bool abort_on_nan> void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n);
+struct common_params;
 
 // Intended to use as callback for ggml_backend_sched_eval_callback
 // prints tensors that are processed in the computation graph
-// by default prints all tensors, but can be configured by creating a `base_callback_data` instance with
-// non-empty filter_patterns. See examples/debug.ccp for possible usage patterns
-// The template parameter determines whether an error should be thrown whenever a NaN is encountered
+// by default prints all tensors, but can be configured by creating a `common_debug_cb_user_data` instance with
+// non-empty filter_patterns. See examples/debug.cpp for possible usage patterns
+// `common_debug_cb_user_data` contains `abort_on_nan` flag that determines whether an error should be thrown whenever a NaN is encountered
 // in a tensor (useful for stopping debug sessions on first erroneous tensor)
 // The callback data will be passed as the third parameter (user_data)
-template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data);
-struct base_callback_data {
-    std::vector<uint8_t>    data;
-    std::vector<std::regex> tensor_filters;
-
-    base_callback_data() = default;
-
-    base_callback_data(common_params & params, const std::vector<std::string> & filter_patterns) {
-        for (const auto & pattern : filter_patterns) {
-            try {
-                std::string anchored_pattern = "^" + pattern;
-                tensor_filters.emplace_back(anchored_pattern, std::regex::optimize);
-            } catch (const std::regex_error & e) {
-                throw std::runtime_error("Invalid regex pattern '" + pattern + "': " + e.what());
-            }
-        }
-        params.cb_eval           = common_debug_cb_eval<false>;
-        params.cb_eval_user_data = this;
-    }
+bool common_debug_cb_eval(struct ggml_tensor * t, bool ask, void * user_data);
+
+struct common_debug_cb_user_data {
+    struct impl;
+    std::unique_ptr<impl> pimpl;
+
+    common_debug_cb_user_data();
+    ~common_debug_cb_user_data();
+
+    common_debug_cb_user_data(const common_debug_cb_user_data &) = delete;
+    common_debug_cb_user_data & operator=(const common_debug_cb_user_data &) = delete;
+
+    common_debug_cb_user_data(common_params & params, const std::vector<std::string> & filter_patterns, bool abort_on_nan = false);
 };
diff --git a/common/download.cpp b/common/download.cpp
index 9d7995c9d..d6d47b2d2 100644
--- a/common/download.cpp
+++ b/common/download.cpp
@@ -1,5 +1,6 @@
 #include "arg.h"
 
+#include "build-info.h"
 #include "common.h"
 #include "log.h"
 #include "download.h"
@@ -114,7 +115,7 @@ std::pair<std::string, std::string> common_download_split_repo_tag(const std::st
     return {hf_repo, tag};
 }
 
-class ProgressBar {
+class ProgressBar : public common_download_callback {
     static inline std::mutex mutex;
     static inline std::map<const ProgressBar *, int> lines;
     static inline int max_line = 0;
@@ -138,7 +139,11 @@ class ProgressBar {
     }
 
 public:
-    ProgressBar(const std::string & url = "") : filename(url) {
+    ProgressBar() = default;
+
+    void on_start(const common_download_progress & p) override {
+        filename = p.url;
+
         if (auto pos = filename.rfind('/'); pos != std::string::npos) {
             filename = filename.substr(pos + 1);
         }
@@ -156,13 +161,13 @@ class ProgressBar {
         }
     }
 
-    ~ProgressBar() {
+    void on_done(const common_download_progress &, bool) override {
         std::lock_guard<std::mutex> lock(mutex);
         cleanup(this);
     }
 
-    void update(size_t current, size_t total) {
-        if (!total || !is_output_a_tty()) {
+    void on_update(const common_download_progress & p) override {
+        if (!p.total || !is_output_a_tty()) {
             return;
         }
 
@@ -174,17 +179,17 @@ class ProgressBar {
         }
         int lines_up = max_line - lines[this];
 
-        size_t bar = 55 - len;
-        size_t pct = (100 * current) / total;
-        size_t pos = (bar * current) / total;
+        size_t bar = (55 - len) * 2;
+        size_t pct = (100 * p.downloaded) / p.total;
+        size_t pos = (bar * p.downloaded) / p.total;
 
         if (lines_up > 0) {
             std::cout << "\033[" << lines_up << "A";
         }
         std::cout << '\r' << "Downloading " << filename << " ";
 
-        for (size_t i = 0; i < bar; ++i) {
-            std::cout << (i < pos ? "—" : " ");
+        for (size_t i = 0; i < bar; i += 2) {
+            std::cout << (i + 1 < pos ? "─" : (i < pos ? "╴" : " "));
         }
         std::cout << std::setw(4) << pct << "%\033[K";
 
@@ -193,7 +198,7 @@ class ProgressBar {
         }
         std::cout << '\r' << std::flush;
 
-        if (current == total) {
+        if (p.downloaded == p.total) {
             cleanup(this);
         }
     }
@@ -206,8 +211,8 @@ static bool common_pull_file(httplib::Client & cli,
                              const std::string & resolve_path,
                              const std::string & path_tmp,
                              bool supports_ranges,
-                             size_t existing_size,
-                             size_t & total_size) {
+                             common_download_progress & p,
+                             common_download_callback * callback) {
     std::ofstream ofs(path_tmp, std::ios::binary | std::ios::app);
     if (!ofs.is_open()) {
         LOG_ERR("%s: error opening local file for writing: %s\n", __func__, path_tmp.c_str());
@@ -215,29 +220,27 @@ static bool common_pull_file(httplib::Client & cli,
     }
 
     httplib::Headers headers;
-    if (supports_ranges && existing_size > 0) {
-        headers.emplace("Range", "bytes=" + std::to_string(existing_size) + "-");
+    if (supports_ranges && p.downloaded > 0) {
+        headers.emplace("Range", "bytes=" + std::to_string(p.downloaded) + "-");
     }
 
     const char * func = __func__; // avoid __func__ inside a lambda
-    size_t downloaded = existing_size;
     size_t progress_step = 0;
-    ProgressBar bar(resolve_path);
 
     auto res = cli.Get(resolve_path, headers,
         [&](const httplib::Response &response) {
-            if (existing_size > 0 && response.status != 206) {
+            if (p.downloaded > 0 && response.status != 206) {
                 LOG_WRN("%s: server did not respond with 206 Partial Content for a resume request. Status: %d\n", func, response.status);
                 return false;
             }
-            if (existing_size == 0 && response.status != 200) {
+            if (p.downloaded == 0 && response.status != 200) {
                 LOG_WRN("%s: download received non-successful status code: %d\n", func, response.status);
                 return false;
             }
-            if (total_size == 0 && response.has_header("Content-Length")) {
+            if (p.total == 0 && response.has_header("Content-Length")) {
                 try {
                     size_t content_length = std::stoull(response.get_header_value("Content-Length"));
-                    total_size = existing_size + content_length;
+                    p.total = p.downloaded + content_length;
                 } catch (const std::exception &e) {
                     LOG_WRN("%s: invalid Content-Length header: %s\n", func, e.what());
                 }
@@ -250,11 +253,16 @@ static bool common_pull_file(httplib::Client & cli,
                 LOG_ERR("%s: error writing to file: %s\n", func, path_tmp.c_str());
                 return false;
             }
-            downloaded += len;
+            p.downloaded += len;
             progress_step += len;
 
-            if (progress_step >= total_size / 1000 || downloaded == total_size) {
-                bar.update(downloaded, total_size);
+            if (progress_step >= p.total / 1000 || p.downloaded == p.total) {
+                if (callback) {
+                    callback->on_update(p);
+                    if (callback->is_cancelled()) {
+                        return false;
+                    }
+                }
                 progress_step = 0;
             }
             return true;
@@ -275,35 +283,34 @@ static bool common_pull_file(httplib::Client & cli,
 
 // download one single file from remote URL to local path
 // returns status code or -1 on error
-static int common_download_file_single_online(const std::string        & url,
-                                              const std::string        & path,
-                                              const std::string        & bearer_token,
-                                              const common_header_list & custom_headers,
-                                              bool                       skip_etag = false) {
+static int common_download_file_single_online(const std::string & url,
+                                              const std::string & path,
+                                              const common_download_opts & opts,
+                                              bool skip_etag) {
     static const int max_attempts        = 3;
     static const int retry_delay_seconds = 2;
 
+    const bool file_exists = std::filesystem::exists(path);
+
+    if (file_exists && skip_etag) {
+        LOG_DBG("%s: using cached file: %s\n", __func__, path.c_str());
+        return 304; // 304 Not Modified - fake cached response
+    }
+
     auto [cli, parts] = common_http_client(url);
 
     httplib::Headers headers;
-    for (const auto & h : custom_headers) {
+    for (const auto & h : opts.headers) {
         headers.emplace(h.first, h.second);
     }
     if (headers.find("User-Agent") == headers.end()) {
-        headers.emplace("User-Agent", "llama-cpp/" + build_info);
+        headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
     }
-    if (!bearer_token.empty()) {
-        headers.emplace("Authorization", "Bearer " + bearer_token);
+    if (!opts.bearer_token.empty()) {
+        headers.emplace("Authorization", "Bearer " + opts.bearer_token);
     }
     cli.set_default_headers(headers);
 
-    const bool file_exists = std::filesystem::exists(path);
-
-    if (file_exists && skip_etag) {
-        LOG_DBG("%s: using cached file: %s\n", __func__, path.c_str());
-        return 304; // 304 Not Modified - fake cached response
-    }
-
     std::string last_etag;
     if (file_exists) {
         last_etag = read_etag(path);
@@ -326,10 +333,11 @@ static int common_download_file_single_online(const std::string        & url,
         etag = head->get_header_value("ETag");
     }
 
-    size_t total_size = 0;
+    common_download_progress p;
+    p.url = url;
     if (head->has_header("Content-Length")) {
         try {
-            total_size = std::stoull(head->get_header_value("Content-Length"));
+            p.total = std::stoull(head->get_header_value("Content-Length"));
         } catch (const std::exception& e) {
             LOG_WRN("%s: invalid Content-Length in HEAD response: %s\n", __func__, e.what());
         }
@@ -357,14 +365,21 @@ static int common_download_file_single_online(const std::string        & url,
 
     { // silent
         std::error_code ec;
-        std::filesystem::path p(path);
-        std::filesystem::create_directories(p.parent_path(), ec);
+        std::filesystem::create_directories(std::filesystem::path(path).parent_path(), ec);
     }
 
+    bool success = false;
     const std::string path_temporary = path + ".downloadInProgress";
     int delay = retry_delay_seconds;
 
+    if (opts.callback) {
+        opts.callback->on_start(p);
+    }
+
     for (int i = 0; i < max_attempts; ++i) {
+        if (opts.callback && opts.callback->is_cancelled()) {
+            break;
+        }
         if (i) {
             LOG_WRN("%s: retrying after %d seconds...\n", __func__, delay);
             std::this_thread::sleep_for(std::chrono::seconds(delay));
@@ -378,28 +393,44 @@ static int common_download_file_single_online(const std::string        & url,
                 existing_size = std::filesystem::file_size(path_temporary);
             } else if (remove(path_temporary.c_str()) != 0) {
                 LOG_ERR("%s: unable to delete file: %s\n", __func__, path_temporary.c_str());
-                return -1;
+                break;
             }
         }
 
+        p.downloaded = existing_size;
+
         LOG_DBG("%s: downloading from %s to %s (etag:%s)...\n",
                 __func__, common_http_show_masked_url(parts).c_str(),
                 path_temporary.c_str(), etag.c_str());
 
-        if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, existing_size, total_size)) {
+        if (common_pull_file(cli, parts.path, path_temporary, supports_ranges, p, opts.callback)) {
             if (std::rename(path_temporary.c_str(), path.c_str()) != 0) {
                 LOG_ERR("%s: unable to rename file: %s to %s\n", __func__, path_temporary.c_str(), path.c_str());
-                return -1;
+                break;
             }
             if (!etag.empty() && !skip_etag) {
                 write_etag(path, etag);
             }
-            return head->status;
+            success = true;
+            break;
+        }
+    }
+
+    if (opts.callback) {
+        opts.callback->on_done(p, success);
+    }
+    if (opts.callback && opts.callback->is_cancelled() &&
+        std::filesystem::exists(path_temporary)) {
+        if (remove(path_temporary.c_str()) != 0) {
+            LOG_ERR("%s: unable to delete temporary file: %s\n", __func__, path_temporary.c_str());
         }
     }
+    if (!success) {
+        LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
+        return -1; // max attempts reached
+    }
 
-    LOG_ERR("%s: download failed after %d attempts\n", __func__, max_attempts);
-    return -1; // max attempts reached
+    return head->status;
 }
 
 std::pair<long, std::vector<char>> common_remote_get_content(const std::string          & url,
@@ -411,7 +442,7 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
         headers.emplace(h.first, h.second);
     }
     if (headers.find("User-Agent") == headers.end()) {
-        headers.emplace("User-Agent", "llama-cpp/" + build_info);
+        headers.emplace("User-Agent", "llama-cpp/" + std::string(llama_build_info()));
     }
 
     if (params.timeout > 0) {
@@ -438,12 +469,15 @@ std::pair<long, std::vector<char>> common_remote_get_content(const std::string
 
 int common_download_file_single(const std::string & url,
                                 const std::string & path,
-                                const std::string & bearer_token,
-                                bool offline,
-                                const common_header_list & headers,
+                                const common_download_opts & opts,
                                 bool skip_etag) {
-    if (!offline) {
-        return common_download_file_single_online(url, path, bearer_token, headers, skip_etag);
+    if (!opts.offline) {
+        ProgressBar tty_cb;
+        common_download_opts online_opts = opts;
+        if (!online_opts.callback) {
+            online_opts.callback = &tty_cb;
+        }
+        return common_download_file_single_online(url, path, online_opts, skip_etag);
     }
 
     if (!std::filesystem::exists(path)) {
@@ -452,6 +486,16 @@ int common_download_file_single(const std::string & url,
     }
 
     LOG_DBG("%s: using cached file (offline mode): %s\n", __func__, path.c_str());
+
+    // notify the callback that the file was cached
+    if (opts.callback) {
+        common_download_progress p;
+        p.url = url;
+        p.cached = true;
+        opts.callback->on_start(p);
+        opts.callback->on_done(p, true);
+    }
+
     return 304; // Not Modified - fake cached response
 }
 
@@ -583,7 +627,7 @@ static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
     if (!tag.empty()) {
         tags.push_back(tag);
     } else {
-        tags = {"Q4_K_M", "Q4_0"};
+        tags = {"Q4_K_M", "Q8_0"};
     }
 
     for (const auto & t : tags) {
@@ -591,6 +635,10 @@ static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
         for (const auto & f : files) {
             if (gguf_filename_is_model(f.path) &&
                 std::regex_search(f.path, pattern)) {
+                auto split = get_gguf_split_info(f.path);
+                if (split.count > 1 && split.index != 1) {
+                    continue;
+                }
                 return f;
             }
         }
@@ -600,6 +648,10 @@ static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
     if (tag.empty()) {
         for (const auto & f : files) {
             if (gguf_filename_is_model(f.path)) {
+                auto split = get_gguf_split_info(f.path);
+                if (split.count > 1 && split.index != 1) {
+                    continue;
+                }
                 return f;
             }
         }
@@ -618,20 +670,21 @@ static void list_available_gguf_files(const hf_cache::hf_files & files) {
 }
 
 struct hf_plan {
+    hf_cache::hf_file primary;
     hf_cache::hf_files model_files;
     hf_cache::hf_file mmproj;
 };
 
-static hf_plan get_hf_plan(const common_params_model        & model,
-                           const std::string                & token,
-                           const common_download_model_opts & opts) {
+static hf_plan get_hf_plan(const common_params_model  & model,
+                           const common_download_opts & opts,
+                           bool download_mmproj) {
     hf_plan plan;
     hf_cache::hf_files all;
 
     auto [repo, tag] = common_download_split_repo_tag(model.hf_repo);
 
     if (!opts.offline) {
-        all = hf_cache::get_repo_files(repo, token);
+        all = hf_cache::get_repo_files(repo, opts.bearer_token);
     }
     if (all.empty()) {
         all = hf_cache::get_cached_files(repo);
@@ -663,9 +716,10 @@ static hf_plan get_hf_plan(const common_params_model        & model,
         }
     }
 
+    plan.primary = primary;
     plan.model_files = get_split_files(all, primary);
 
-    if (opts.download_mmproj) {
+    if (download_mmproj) {
         plan.mmproj = find_best_mmproj(all, primary.path);
     }
 
@@ -700,10 +754,9 @@ static std::vector<download_task> get_url_tasks(const common_params_model & mode
     return tasks;
 }
 
-common_download_model_result common_download_model(const common_params_model        & model,
-                                                   const std::string                & bearer_token,
-                                                   const common_download_model_opts & opts,
-                                                   const common_header_list         & headers) {
+common_download_model_result common_download_model(const common_params_model  & model,
+                                                   const common_download_opts & opts,
+                                                   bool download_mmproj) {
     common_download_model_result result;
     std::vector<download_task> tasks;
     hf_plan hf;
@@ -711,7 +764,7 @@ common_download_model_result common_download_model(const common_params_model
     bool is_hf = !model.hf_repo.empty();
 
     if (is_hf) {
-        hf = get_hf_plan(model, bearer_token, opts);
+        hf = get_hf_plan(model, opts, download_mmproj);
         for (const auto & f : hf.model_files) {
             tasks.push_back({f.url, f.local_path});
         }
@@ -732,8 +785,8 @@ common_download_model_result common_download_model(const common_params_model
     std::vector<std::future<bool>> futures;
     for (const auto & task : tasks) {
         futures.push_back(std::async(std::launch::async,
-            [&task, &bearer_token, offline = opts.offline, &headers, is_hf]() {
-                int status = common_download_file_single(task.url, task.path, bearer_token, offline, headers, is_hf);
+            [&task, &opts, is_hf]() {
+                int status = common_download_file_single(task.url, task.path, opts, is_hf);
                 return is_http_status_ok(status);
             }
         ));
@@ -749,7 +802,7 @@ common_download_model_result common_download_model(const common_params_model
         for (const auto & f : hf.model_files) {
             hf_cache::finalize_file(f);
         }
-        result.model_path = hf.model_files[0].final_path;
+        result.model_path = hf.primary.final_path;
 
         if (!hf.mmproj.path.empty()) {
             result.mmproj_path = hf_cache::finalize_file(hf.mmproj);
@@ -869,7 +922,9 @@ std::string common_docker_resolve_model(const std::string & docker) {
         std::string local_path = fs_get_cache_file(model_filename);
 
         const std::string blob_url = url_prefix + "/blobs/" + gguf_digest;
-        const int http_status = common_download_file_single(blob_url, local_path, token, false, {});
+        common_download_opts opts;
+        opts.bearer_token = token;
+        const int http_status = common_download_file_single(blob_url, local_path, opts);
         if (!is_http_status_ok(http_status)) {
             throw std::runtime_error("Failed to download Docker Model");
         }
diff --git a/common/download.h b/common/download.h
index 0a933521f..edc3e9f1a 100644
--- a/common/download.h
+++ b/common/download.h
@@ -8,6 +8,22 @@ struct common_params_model;
 using common_header      = std::pair<std::string, std::string>;
 using common_header_list = std::vector<common_header>;
 
+struct common_download_progress {
+    std::string url;
+    size_t downloaded = 0;
+    size_t total      = 0;
+    bool cached       = false;
+};
+
+class common_download_callback {
+public:
+    virtual ~common_download_callback() = default;
+    virtual void on_start(const common_download_progress & p) = 0;
+    virtual void on_update(const common_download_progress & p) = 0;
+    virtual void on_done(const common_download_progress & p, bool ok) = 0;
+    virtual bool is_cancelled() const { return false; }
+};
+
 struct common_remote_params {
     common_header_list headers;
     long timeout  = 0;           // in seconds, 0 means no timeout
@@ -31,10 +47,12 @@ struct common_cached_model_info {
     }
 };
 
-// Options for common_download_model
-struct common_download_model_opts {
-    bool download_mmproj = false;
-    bool offline         = false;
+// Options for common_download_model and common_download_file_single
+struct common_download_opts {
+    std::string bearer_token;
+    common_header_list headers;
+    bool offline = false;
+    common_download_callback * callback = nullptr;
 };
 
 // Result of common_download_model
@@ -69,9 +87,8 @@ struct common_download_model_result {
 // returns result with model_path and mmproj_path (empty on failure)
 common_download_model_result common_download_model(
     const common_params_model & model,
-    const std::string & bearer_token,
-    const common_download_model_opts & opts = {},
-    const common_header_list & headers = {}
+    const common_download_opts & opts = {},
+    bool download_mmproj = false
 );
 
 // returns list of cached models
@@ -82,9 +99,7 @@ std::vector<common_cached_model_info> common_list_cached_models();
 // skip_etag: if true, don't read/write .etag files (for HF cache where filename is the hash)
 int common_download_file_single(const std::string & url,
                                 const std::string & path,
-                                const std::string & bearer_token,
-                                bool offline,
-                                const common_header_list & headers = {},
+                                const common_download_opts & opts = {},
                                 bool skip_etag = false);
 
 // resolve and download model from Docker registry
diff --git a/common/fit.cpp b/common/fit.cpp
new file mode 100644
index 000000000..e66982df5
--- /dev/null
+++ b/common/fit.cpp
@@ -0,0 +1,959 @@
+#include "fit.h"
+
+#include "log.h"
+
+#include "../src/llama-ext.h"
+
+#include <array>
+#include <cassert>
+#include <stdexcept>
+#include <cinttypes>
+#include <set>
+#include <string>
+#include <vector>
+
+// this enum is only used in llama_params_fit_impl but needs to be defined outside of it to fix a Windows compilation issue
+// enum to identify part of a layer for distributing its tensors:
+enum common_layer_fraction_t {
+    LAYER_FRACTION_NONE = 0, // nothing
+    LAYER_FRACTION_ATTN = 1, // attention
+    LAYER_FRACTION_UP   = 2, // attention + up
+    LAYER_FRACTION_GATE = 3, // attention + up + gate
+    LAYER_FRACTION_MOE  = 4, // everything but sparse MoE weights
+};
+
+class common_params_fit_exception : public std::runtime_error {
+    using std::runtime_error::runtime_error;
+};
+
+static std::vector<llama_device_memory_data> common_get_device_memory_data(
+        const char * path_model,
+        const llama_model_params * mparams,
+        const llama_context_params * cparams,
+        std::vector<ggml_backend_dev_t> & devs,
+        uint32_t & hp_ngl,
+        uint32_t & hp_n_ctx_train,
+        uint32_t & hp_n_expert,
+        ggml_log_level log_level) {
+    struct user_data_t {
+        struct {
+            ggml_log_callback callback;
+            void * user_data;
+        } original_logger;
+        ggml_log_level min_level; // prints below this log level go to debug log
+    };
+    user_data_t ud;
+    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
+    ud.min_level = log_level;
+
+    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
+        const user_data_t * ud = (const user_data_t *) user_data;
+        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
+        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
+    }, &ud);
+
+    llama_model_params mparams_copy = *mparams;
+    mparams_copy.no_alloc  = true;
+    mparams_copy.use_mmap  = false;
+    mparams_copy.use_mlock = false;
+
+    llama_model * model = llama_model_load_from_file(path_model, mparams_copy);
+    if (model == nullptr) {
+        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+        throw std::runtime_error("failed to load model");
+    }
+
+    llama_context * ctx = llama_init_from_model(model, *cparams);
+    if (ctx == nullptr) {
+        llama_model_free(model);
+        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+        throw std::runtime_error("failed to create llama_context from model");
+    }
+
+    const size_t nd = llama_model_n_devices(model);
+    std::vector<llama_device_memory_data> ret(nd + 1);
+
+    llama_memory_breakdown memory_breakdown = llama_get_memory_breakdown(ctx);
+
+    for (const auto & [buft, mb] : memory_breakdown) {
+        if (ggml_backend_buft_is_host(buft)) {
+            ret.back().mb.model   += mb.model;
+            ret.back().mb.context += mb.context;
+            ret.back().mb.compute += mb.compute;
+            continue;
+        }
+
+        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
+        if (!dev) {
+            continue;
+        }
+        for (size_t i = 0; i < nd; i++) {
+            if (dev == llama_model_get_device(model, i)) {
+                ret[i].mb.model   += mb.model;
+                ret[i].mb.context += mb.context;
+                ret[i].mb.compute += mb.compute;
+                break;
+            }
+        }
+    }
+
+    {
+        ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+        if (cpu_dev == nullptr) {
+            throw std::runtime_error("no CPU backend found");
+        }
+        size_t free;
+        size_t total;
+        ggml_backend_dev_memory(cpu_dev, &free, &total);
+        ret.back().free  = free;
+        ret.back().total = total;
+    }
+    for (size_t i = 0; i < nd; i++) {
+        ggml_backend_dev_t dev = llama_model_get_device(model, i);
+
+        size_t free;
+        size_t total;
+        ggml_backend_dev_memory(dev, &free, &total);
+
+        // Some non-GPU accelerator backends, such as BLAS, report 0/0 and rely on
+        // the host-memory fallback. For GPU-like backends, keep 0/0 so --fit does
+        // not assign anything to a device with an unknown memory budget.
+        if (free == 0 && total == 0) {
+            const enum ggml_backend_dev_type type = ggml_backend_dev_type(dev);
+            if (type == GGML_BACKEND_DEVICE_TYPE_GPU || type == GGML_BACKEND_DEVICE_TYPE_IGPU) {
+                LOG_WRN("%s: device %s did not report memory; --fit will not use it\n",
+                        __func__, ggml_backend_dev_name(dev));
+            } else {
+                free  = ret.back().free;
+                total = ret.back().total;
+            }
+        }
+        ret[i].free  = free;
+        ret[i].total = total;
+    }
+
+    devs.clear();
+    for (int i = 0; i < llama_model_n_devices(model); i++) {
+        devs.push_back(llama_model_get_device(model, i));
+    }
+
+    hp_ngl         = llama_model_n_layer(model);
+    hp_n_ctx_train = llama_model_n_ctx_train(model);
+    hp_n_expert    = llama_model_n_expert(model);
+
+    common_memory_breakdown_print(ctx);
+
+    llama_free(ctx);
+    llama_model_free(model);
+    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
+
+    return ret;
+}
+
+static void common_params_fit_impl(
+        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
+        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
+        size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
+    if (mparams->split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+        throw common_params_fit_exception("llama_params_fit is not implemented for SPLIT_MODE_TENSOR, abort");
+    }
+    constexpr int64_t MiB = 1024*1024;
+    typedef std::vector<llama_device_memory_data> dmds_t;
+    const llama_model_params default_mparams = llama_model_default_params();
+
+    std::vector<ggml_backend_dev_t> devs;
+    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
+    uint32_t hp_nct = 0; // hparams.n_ctx_train
+    uint32_t hp_nex = 0; // hparams.n_expert
+
+    // step 1: get data for default parameters and check whether any changes are necessary in the first place
+
+    LOG_INF("%s: getting device memory data for initial parameters:\n", __func__);
+    const dmds_t dmds_full = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+    const size_t nd = devs.size(); // number of devices
+
+    std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
+    margins.reserve(nd);
+    if (nd == 0) {
+        margins.push_back(margins_s[0]);
+    } else {
+        for (size_t id = 0; id < nd; id++) {
+            margins.push_back(margins_s[id]);
+        }
+    }
+
+    std::vector<std::string> dev_names;
+    {
+        dev_names.reserve(nd);
+        size_t max_length = 0;
+        for (const auto & dev : devs) {
+            std::string name = ggml_backend_dev_name(dev);
+            name += " (";
+            name += ggml_backend_dev_description(dev);
+            name += ")";
+            dev_names.push_back(name);
+            max_length = std::max(max_length, name.length());
+        }
+        for (std::string & dn : dev_names) {
+            dn.insert(dn.end(), max_length - dn.length(), ' ');
+        }
+    }
+
+    int64_t sum_free            = 0;
+    int64_t sum_projected_free  = 0;
+    int64_t sum_projected_used  = 0;
+    int64_t sum_projected_model = 0;
+    std::vector<int64_t> projected_free_per_device;
+    projected_free_per_device.reserve(nd);
+
+    if (nd == 0) {
+        sum_projected_used = dmds_full.back().mb.total();
+        sum_free           = dmds_full.back().total;
+        sum_projected_free = sum_free - sum_projected_used;
+        LOG_INF("%s: projected to use %" PRId64 " MiB of host memory vs. %" PRId64 " MiB of total host memory\n",
+            __func__, sum_projected_used/MiB, sum_free/MiB);
+        if (sum_projected_free >= margins[0]) {
+            LOG_INF("%s: will leave %" PRId64 " >= %" PRId64 " MiB of system memory, no changes needed\n",
+                __func__, sum_projected_free/MiB, margins[0]/MiB);
+            return;
+        }
+    } else {
+        if (nd > 1) {
+            LOG_INF("%s: projected memory use with initial parameters [MiB]:\n", __func__);
+        }
+        for (size_t id = 0; id < nd; id++) {
+            const llama_device_memory_data & dmd = dmds_full[id];
+
+            const int64_t projected_used = dmd.mb.total();
+            const int64_t projected_free = dmd.free - projected_used;
+            projected_free_per_device.push_back(projected_free);
+
+            sum_free            += dmd.free;
+            sum_projected_used  += projected_used;
+            sum_projected_free  += projected_free;
+            sum_projected_model += dmd.mb.model;
+
+            if (nd > 1) {
+                LOG_INF("%s:   - %s: %6" PRId64 " total, %6" PRId64 " used, %6" PRId64 " free vs. target of %6" PRId64 "\n",
+                    __func__, dev_names[id].c_str(), dmd.total/MiB, projected_used/MiB, projected_free/MiB, margins[id]/MiB);
+            }
+        }
+        assert(sum_free >= 0 && sum_projected_used >= 0);
+        LOG_INF("%s: projected to use %" PRId64 " MiB of device memory vs. %" PRId64 " MiB of free device memory\n",
+            __func__, sum_projected_used/MiB, sum_free/MiB);
+        if (nd == 1) {
+            if (projected_free_per_device[0] >= margins[0]) {
+                LOG_INF("%s: will leave %" PRId64 " >= %" PRId64 " MiB of free device memory, no changes needed\n",
+                    __func__, projected_free_per_device[0]/MiB, margins[0]/MiB);
+                return;
+            }
+        } else {
+            bool changes_needed = false;
+            for (size_t id = 0; id < nd; id++) {
+                if (projected_free_per_device[id] < margins[id]) {
+                    changes_needed = true;
+                    break;
+                }
+            }
+            if (!changes_needed) {
+                LOG_INF("%s: targets for free memory can be met on all devices, no changes needed\n", __func__);
+                return;
+            }
+        }
+    }
+
+    // step 2: try reducing memory use by reducing the context size
+
+    {
+        int64_t global_surplus = sum_projected_free;
+        if (nd == 0) {
+            global_surplus -= margins[0];
+        } else {
+            for (size_t id = 0; id < nd; id++) {
+                global_surplus -= margins[id];
+            }
+        }
+        if (global_surplus < 0) {
+            if (nd <= 1) {
+                LOG_INF("%s: cannot meet free memory target of %" PRId64 " MiB, need to reduce device memory by %" PRId64 " MiB\n",
+                    __func__, margins[0]/MiB, -global_surplus/MiB);
+            } else {
+                LOG_INF(
+                    "%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
+                    __func__, -global_surplus/MiB);
+            }
+            if (cparams->n_ctx == 0) {
+                if (hp_nct > n_ctx_min) {
+                    int64_t sum_used_target = sum_free;
+                    if (nd == 0) {
+                        sum_used_target -= margins[0];
+                    } else {
+                        for (size_t id = 0; id < nd; id++) {
+                            sum_used_target -= margins[id];
+                        }
+                    }
+                    if (nd > 1) {
+                        // for multiple devices we need to be more conservative in terms of how much context we think can fit:
+                        //   - for dense models only whole layers can be assigned to devices
+                        //   - for MoE models only whole tensors can be assigned to devices, which we estimate to be <= 1/3 of a layer
+                        //   - on average we expect a waste of 0.5 layers/tensors per device
+                        //   - use slightly more than the expected average for nd devices to be safe
+                        const int64_t model_per_layer = sum_projected_model / std::min(uint32_t(mparams->n_gpu_layers), hp_ngl);
+                        sum_used_target -= (nd + 1) * model_per_layer / (hp_nex == 0 ? 2 : 6);
+                    }
+
+                    int64_t sum_projected_used_min_ctx = 0;
+                    cparams->n_ctx = n_ctx_min;
+                    const dmds_t dmds_min_ctx = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+                    if (nd == 0) {
+                        sum_projected_used_min_ctx = dmds_min_ctx.back().mb.total();
+                    } else {
+                        for (size_t id = 0; id < nd; id++) {
+                            sum_projected_used_min_ctx += dmds_min_ctx[id].mb.total();
+                        }
+                    }
+                    if (sum_used_target > sum_projected_used_min_ctx) {
+                        // linear interpolation between minimum and maximum context size:
+                        cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
+                            / (sum_projected_used - sum_projected_used_min_ctx);
+                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
+
+                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
+                        const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
+                        LOG_INF("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
+                        if (nd <= 1) {
+                            LOG_INF("%s: entire model can be fit by reducing context\n", __func__);
+                            return;
+                        }
+                        LOG_INF("%s: entire model should be fit across devices by reducing context\n", __func__);
+                    } else {
+                        const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
+                        LOG_INF("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
+                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
+                    }
+                } else {
+                    if (n_ctx_min == UINT32_MAX) {
+                        LOG_INF("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
+                    } else {
+                        LOG_INF("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
+                            __func__, hp_nct, n_ctx_min);
+                    }
+                }
+            } else {
+                LOG_INF("%s: context size set by user to %" PRIu32 " -> no change\n", __func__, cparams->n_ctx);
+            }
+        }
+    }
+    if (nd == 0) {
+        throw common_params_fit_exception("was unable to fit model into system memory by reducing context, abort");
+    }
+
+    if (mparams->n_gpu_layers != default_mparams.n_gpu_layers) {
+        throw common_params_fit_exception("n_gpu_layers already set by user to " + std::to_string(mparams->n_gpu_layers) + ", abort");
+    }
+    if (nd > 1) {
+        if (!tensor_split) {
+            throw common_params_fit_exception("did not provide a buffer to write the tensor_split to, abort");
+        }
+        if (mparams->tensor_split) {
+            for (size_t id = 0; id < nd; id++) {
+                if (mparams->tensor_split[id] != 0.0f) {
+                    throw common_params_fit_exception("model_params::tensor_split already set by user, abort");
+                }
+            }
+        }
+        if (mparams->split_mode == LLAMA_SPLIT_MODE_ROW) {
+            throw common_params_fit_exception("changing weight allocation for LLAMA_SPLIT_MODE_ROW not implemented, abort");
+        }
+    }
+    if (!tensor_buft_overrides) {
+        throw common_params_fit_exception("did not provide buffer to set tensor_buft_overrides, abort");
+    }
+    if (mparams->tensor_buft_overrides && (mparams->tensor_buft_overrides->pattern || mparams->tensor_buft_overrides->buft)) {
+        throw common_params_fit_exception("model_params::tensor_buft_overrides already set by user, abort");
+    }
+
+    // step 3: iteratively fill the back to front with "dense" layers
+    //   - for a dense model simply fill full layers, giving each device a contiguous slice of the model
+    //   - for a MoE model, same as dense model but with all MoE tensors in system memory
+
+    // utility function that returns a static C string matching the tensors for a specific layer index and layer fraction:
+    auto get_overflow_pattern = [&](const size_t il, const common_layer_fraction_t lf) -> const char * {
+        constexpr size_t n_strings = 1000;
+        if (il >= n_strings) {
+            throw std::runtime_error("at most " + std::to_string(n_strings) + " model layers are supported");
+        }
+        switch (lf) {
+            case LAYER_FRACTION_ATTN: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|up|gate_up|down).*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_UP: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|gate_up|down).*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_GATE: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_down.*";
+                }
+                return patterns[il].c_str();
+            }
+            case LAYER_FRACTION_MOE: {
+                static std::array<std::string, n_strings> patterns;
+                if (patterns[il].empty()) {
+                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(up|down|gate_up|gate)_(ch|)exps";
+                }
+                return patterns[il].c_str();
+            }
+            default:
+                GGML_ABORT("fatal error");
+        }
+    };
+
+    struct ngl_t {
+        uint32_t n_layer = 0; // number of total layers
+        uint32_t n_part  = 0; // number of partial layers, <= n_layer
+
+        // for the first partial layer varying parts can overflow, all further layers use LAYER_FRACTION_MOE:
+        common_layer_fraction_t overflow_type = LAYER_FRACTION_MOE;
+
+        uint32_t n_full() const {
+            assert(n_layer >= n_part);
+            return n_layer - n_part;
+        }
+    };
+
+    const size_t ntbo = llama_max_tensor_buft_overrides();
+
+    // utility function to set n_gpu_layers and tensor_split
+    auto set_ngl_tensor_split_tbo = [&](
+            const std::vector<ngl_t> & ngl_per_device,
+            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts,
+            llama_model_params & mparams) {
+        mparams.n_gpu_layers = 0;
+        for (size_t id = 0; id < nd; id++) {
+            mparams.n_gpu_layers += ngl_per_device[id].n_layer;
+            if (nd > 1) {
+                tensor_split[id] = ngl_per_device[id].n_layer;
+            }
+        }
+        assert(uint32_t(mparams.n_gpu_layers) <= hp_ngl + 1);
+        uint32_t il0 = hp_ngl + 1 - mparams.n_gpu_layers; // start index for tensor buft overrides
+
+        mparams.tensor_split = tensor_split;
+
+        size_t itbo = 0;
+        for (size_t id = 0; id < nd; id++) {
+            il0 += ngl_per_device[id].n_full();
+            for (uint32_t il = il0; il < il0 + ngl_per_device[id].n_part; il++) {
+                if (itbo + 1 >= ntbo) {
+                    tensor_buft_overrides[itbo].pattern = nullptr;
+                    tensor_buft_overrides[itbo].buft    = nullptr;
+                    itbo++;
+                    mparams.tensor_buft_overrides = tensor_buft_overrides;
+                    throw common_params_fit_exception("llama_max_tensor_buft_overrides() == "
+                        + std::to_string(ntbo) + " is insufficient for model");
+                }
+                tensor_buft_overrides[itbo].pattern = get_overflow_pattern(il, il == il0 ? ngl_per_device[id].overflow_type : LAYER_FRACTION_MOE);
+                tensor_buft_overrides[itbo].buft = il == il0 ? overflow_bufts[id] : ggml_backend_cpu_buffer_type();
+                itbo++;
+            }
+            il0 += ngl_per_device[id].n_part;
+        }
+        tensor_buft_overrides[itbo].pattern = nullptr;
+        tensor_buft_overrides[itbo].buft    = nullptr;
+        itbo++;
+        mparams.tensor_buft_overrides = tensor_buft_overrides;
+    };
+
+    // utility function that returns the memory use per device for given numbers of layers per device
+    auto get_memory_for_layers = [&](
+            const char * func_name,
+            const std::vector<ngl_t> & ngl_per_device,
+            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts) -> std::vector<int64_t> {
+        llama_model_params mparams_copy = *mparams;
+        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
+
+        const dmds_t dmd_nl = common_get_device_memory_data(
+            path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+
+        LOG_INF("%s: memory for test allocation by device:\n", func_name);
+        for (size_t id = 0; id < nd; id++) {
+            const ngl_t & n = ngl_per_device[id];
+            LOG_INF(
+                "%s: id=%zu, n_layer=%2" PRIu32 ", n_part=%2" PRIu32 ", overflow_type=%d, mem=%6" PRId64 " MiB\n",
+                func_name, id, n.n_layer, n.n_part, int(n.overflow_type), dmd_nl[id].mb.total()/MiB);
+        }
+
+        std::vector<int64_t> ret;
+        ret.reserve(nd);
+        for (size_t id = 0; id < nd; id++) {
+            ret.push_back(dmd_nl[id].mb.total());
+        }
+        return ret;
+    };
+
+    int64_t global_surplus_cpu_moe = 0;
+    if (hp_nex > 0) {
+        const static std::string pattern_moe_all = "blk\\.\\d+\\.ffn_(up|down|gate_up|gate)_(ch|)exps"; // matches all MoE tensors
+        ggml_backend_buffer_type_t cpu_buft = ggml_backend_cpu_buffer_type();
+        tensor_buft_overrides[0] = {pattern_moe_all.c_str(), cpu_buft};
+        tensor_buft_overrides[1] = {nullptr, nullptr};
+        mparams->tensor_buft_overrides = tensor_buft_overrides;
+
+        LOG_INF("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
+        const dmds_t dmds_cpu_moe = common_get_device_memory_data(
+            path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
+
+        for (size_t id = 0; id < nd; id++) {
+            global_surplus_cpu_moe += dmds_cpu_moe[id].free;
+            global_surplus_cpu_moe -= int64_t(dmds_cpu_moe[id].mb.total()) + margins[id];
+        }
+
+        if (global_surplus_cpu_moe > 0) {
+            LOG_INF("%s: with only dense weights in device memory there is a total surplus of %" PRId64 " MiB\n",
+                __func__, global_surplus_cpu_moe/MiB);
+        } else {
+            LOG_INF("%s: with only dense weights in device memory there is still a total deficit of %" PRId64 " MiB\n",
+                __func__, -global_surplus_cpu_moe/MiB);
+        }
+
+        // reset
+        tensor_buft_overrides[0] = {nullptr, nullptr};
+        mparams->tensor_buft_overrides = tensor_buft_overrides;
+    }
+
+    std::vector<int64_t> targets; // maximum acceptable memory use per device
+    targets.reserve(nd);
+    for (size_t id = 0; id < nd; id++) {
+        targets.push_back(dmds_full[id].free - margins[id]);
+        LOG_INF("%s: id=%zu, target=%" PRId64 " MiB\n", __func__, id, targets[id]/MiB);
+    }
+
+    std::vector<ggml_backend_buffer_type_t> overflow_bufts; // which bufts the first partial layer of a device overflows to:
+    overflow_bufts.reserve(nd);
+    for (size_t id = 0; id < nd; id++) {
+        overflow_bufts.push_back(ggml_backend_cpu_buffer_type());
+    }
+
+    std::vector<ngl_t> ngl_per_device(nd);
+    std::vector<int64_t> mem = get_memory_for_layers(__func__, ngl_per_device, overflow_bufts);
+
+    // optimize the number of layers per device using the method of false position:
+    //   - ngl_per_device has 0 layers for each device, lower bound
+    //   - try a "high" configuration where a device is given all unassigned layers
+    //   - interpolate the memory use / layer between low and high linearly to get a guess where it meets our target
+    //   - check memory use of our guess, replace either the low or high bound
+    //   - once we only have a difference of a single layer, stop and return the lower bound that just barely still fits
+    //   - the last device has the output layer, which cannot be a partial layer
+    if (hp_nex == 0) {
+        LOG_INF("%s: filling dense layers back-to-front:\n", __func__);
+    } else {
+        LOG_INF("%s: filling dense-only layers back-to-front:\n", __func__);
+    }
+    for (int id = nd - 1; id >= 0; id--) {
+        uint32_t n_unassigned = hp_ngl + 1;
+        for (size_t jd = id + 1; jd < nd; ++jd) {
+            assert(n_unassigned >= ngl_per_device[jd].n_layer);
+            n_unassigned -= ngl_per_device[jd].n_layer;
+        }
+
+        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
+        ngl_per_device_high[id].n_layer = n_unassigned;
+        if (hp_nex > 0) {
+            ngl_per_device_high[id].n_part = size_t(id) < nd - 1 ? ngl_per_device_high[id].n_layer : ngl_per_device_high[id].n_layer - 1;
+        }
+        if (ngl_per_device_high[id].n_layer > 0) {
+            std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
+            if (mem_high[id] > targets[id]) {
+                assert(ngl_per_device_high[id].n_layer > ngl_per_device[id].n_layer);
+                uint32_t delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
+                LOG_INF("%s: start filling device %" PRIu32 ", delta=%" PRIu32 "\n", __func__, id, delta);
+                while (delta > 1) {
+                    uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
+                    step_size = std::max(step_size, uint32_t(1));
+                    step_size = std::min(step_size, delta - 1);
+
+                    std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+                    ngl_per_device_test[id].n_layer += step_size;
+                    if (hp_nex) {
+                        ngl_per_device_test[id].n_part += size_t(id) == nd - 1 && ngl_per_device_test[id].n_part == 0 ?
+                            step_size - 1 : step_size; // the first layer is the output layer which must always be full
+                    }
+                    const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
+
+                    if (mem_test[id] <= targets[id]) {
+                        ngl_per_device = ngl_per_device_test;
+                        mem            = mem_test;
+                        LOG_INF("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
+                    } else {
+                        ngl_per_device_high = ngl_per_device_test;
+                        mem_high            = mem_test;
+                        LOG_INF("%s: set ngl_per_device_high[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device_high[id].n_layer);
+                    }
+                    delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
+                }
+            } else {
+                assert(ngl_per_device_high[id].n_layer == n_unassigned);
+                ngl_per_device = ngl_per_device_high;
+                mem            = mem_high;
+                LOG_INF("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
+            }
+        }
+
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers, %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, mem[id]/MiB, projected_margin/MiB);
+    }
+    if (hp_nex == 0 || global_surplus_cpu_moe <= 0) {
+        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
+        return;
+    }
+
+    // step 4: for a MoE model where all dense tensors fit,
+    //     convert the dense-only layers in the back to full layers in the front until all devices are full
+    // essentially the same procedure as for the dense-only layers except front-to-back
+    // also, try fitting at least part of one more layer to reduce waste for "small" GPUs with e.g. 24 GiB VRAM
+
+    size_t id_dense_start = nd;
+    for (int id = nd - 1; id >= 0; id--) {
+        if (ngl_per_device[id].n_layer > 0) {
+            id_dense_start = id;
+            continue;
+        }
+        break;
+    }
+    assert(id_dense_start < nd);
+
+    LOG_INF("%s: converting dense-only layers to full layers and filling them front-to-back with overflow to next device/system memory:\n", __func__);
+    for (size_t id = 0; id <= id_dense_start && id_dense_start < nd; id++) {
+        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
+        for (size_t jd = id_dense_start; jd < nd; jd++) {
+            const uint32_t n_layer_move = jd < nd - 1 ? ngl_per_device_high[jd].n_layer : ngl_per_device_high[jd].n_layer - 1;
+            ngl_per_device_high[id].n_layer += n_layer_move;
+            ngl_per_device_high[jd].n_layer -= n_layer_move;
+            ngl_per_device_high[jd].n_part = 0;
+        }
+        size_t id_dense_start_high = nd - 1;
+        std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
+
+        if (mem_high[id] > targets[id]) {
+            assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
+            uint32_t delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
+            while (delta > 1) {
+                uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
+                step_size = std::max(step_size, uint32_t(1));
+                step_size = std::min(step_size, delta - 1);
+
+                std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+                size_t id_dense_start_test = id_dense_start;
+                uint32_t n_converted_test = 0;
+                for (;id_dense_start_test < nd; id_dense_start_test++) {
+                    const uint32_t n_convert_jd = std::min(step_size - n_converted_test, ngl_per_device_test[id_dense_start_test].n_part);
+                    ngl_per_device_test[id_dense_start_test].n_layer -= n_convert_jd;
+                    ngl_per_device_test[id_dense_start_test].n_part -= n_convert_jd;
+                    ngl_per_device_test[id].n_layer += n_convert_jd;
+                    n_converted_test += n_convert_jd;
+
+                    if (ngl_per_device_test[id_dense_start_test].n_part > 0) {
+                        break;
+                    }
+                }
+                const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
+
+                if (mem_test[id] <= targets[id]) {
+                    ngl_per_device = ngl_per_device_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                } else {
+                    ngl_per_device_high = ngl_per_device_test;
+                    mem_high            = mem_test;
+                    id_dense_start_high = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device_high[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start_high=%zu\n",
+                        __func__, id, ngl_per_device_high[id].n_layer, ngl_per_device_high[id].n_part, id_dense_start_high);
+                }
+                assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
+                delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
+            }
+        } else {
+            ngl_per_device = ngl_per_device_high;
+            mem            = mem_high;
+            id_dense_start = id_dense_start_high;
+            LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
+                __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+        }
+
+        // try to fit at least part of one more layer
+        if (ngl_per_device[id_dense_start].n_layer > (id < nd - 1 ? 0 : 1)) {
+            std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
+            size_t id_dense_start_test = id_dense_start;
+            ngl_per_device_test[id_dense_start_test].n_layer--;
+            ngl_per_device_test[id_dense_start_test].n_part--;
+            ngl_per_device_test[id].n_layer++;
+            ngl_per_device_test[id].n_part++;
+            if (ngl_per_device_test[id_dense_start_test].n_part == 0) {
+                id_dense_start_test++;
+            }
+            ngl_per_device_test[id].overflow_type = LAYER_FRACTION_UP;
+            std::vector<ggml_backend_buffer_type_t> overflow_bufts_test = overflow_bufts;
+            if (id < nd - 1) {
+                overflow_bufts_test[id] = ggml_backend_dev_buffer_type(devs[id + 1]);
+            }
+            LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_UP\n", __func__);
+            std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+            if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                ngl_per_device = ngl_per_device_test;
+                overflow_bufts = overflow_bufts_test;
+                mem            = mem_test;
+                id_dense_start = id_dense_start_test;
+                LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", UP), id_dense_start=%zu\n",
+                    __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+
+                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_GATE;
+                LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_GATE\n", __func__);
+                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                    ngl_per_device = ngl_per_device_test;
+                    overflow_bufts = overflow_bufts_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", GATE), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                }
+            } else {
+                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_ATTN;
+                LOG_INF("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_ATTN\n", __func__);
+                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
+                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
+                    ngl_per_device = ngl_per_device_test;
+                    overflow_bufts = overflow_bufts_test;
+                    mem            = mem_test;
+                    id_dense_start = id_dense_start_test;
+                    LOG_INF("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", ATTN), id_dense_start=%zu\n",
+                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
+                }
+            }
+        }
+
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
+    }
+
+    // print info for devices that were not changed during the conversion from dense only to full layers:
+    for (size_t id = id_dense_start + 1; id < nd; id++) {
+        const int64_t projected_margin = dmds_full[id].free - mem[id];
+        LOG_INF(
+            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
+            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
+    }
+
+    set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
+}
+
+enum common_params_fit_status common_fit_params(
+        const char * path_model,
+        llama_model_params * mparams,
+        llama_context_params * cparams,
+        float * tensor_split,
+        llama_model_tensor_buft_override * tensor_buft_overrides,
+        size_t * margins,
+        uint32_t n_ctx_min,
+        ggml_log_level log_level) {
+    const int64_t t0_us = llama_time_us();
+    common_params_fit_status status = COMMON_PARAMS_FIT_STATUS_SUCCESS;
+    try {
+        common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
+        LOG_INF("%s: successfully fit params to free device memory\n", __func__);
+    } catch (const common_params_fit_exception & e) {
+        LOG_WRN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
+        status = COMMON_PARAMS_FIT_STATUS_FAILURE;
+    } catch (const std::runtime_error & e) {
+        LOG_ERR("%s: encountered an error while trying to fit params to free device memory: %s\n", __func__, e.what());
+        status = COMMON_PARAMS_FIT_STATUS_ERROR;
+    }
+    const int64_t t1_us = llama_time_us();
+    LOG_INF("%s: fitting params to free memory took %.2f seconds\n", __func__, (t1_us - t0_us) * 1e-6);
+    return status;
+}
+
+void common_memory_breakdown_print(const struct llama_context * ctx) {
+    //const auto & devices = ctx->get_model().devices;
+    const auto * model = llama_get_model(ctx);
+
+    std::vector<ggml_backend_dev_t> devices;
+    for (int i = 0; i < llama_model_n_devices(model); i++) {
+        devices.push_back(llama_model_get_device(model, i));
+    }
+
+    llama_memory_breakdown memory_breakdown = llama_get_memory_breakdown(ctx);
+
+    std::vector<std::array<std::string, 9>> table_data;
+    table_data.reserve(devices.size());
+    const std::string template_header = "%s: | %s | %s   %s    %s   %s   %s   %s    %s |\n";
+    const std::string template_gpu    = "%s: | %s | %s = %s + (%s = %s + %s + %s) + %s |\n";
+    const std::string template_other  = "%s: | %s | %s   %s    %s = %s + %s + %s    %s |\n";
+
+    table_data.push_back({template_header, "memory breakdown [MiB]", "total", "free", "self", "model", "context", "compute", "unaccounted"});
+
+    constexpr size_t MiB = 1024 * 1024;
+    const std::vector<std::string> desc_prefixes_strip = {"NVIDIA ", "GeForce ", "Tesla ", "AMD ", "Radeon ", "Instinct "};
+
+    // track seen buffer types to avoid double counting:
+    std::set<ggml_backend_buffer_type_t> seen_buffer_types;
+
+    // accumulative memory breakdown for each device and for host:
+    std::vector<llama_memory_breakdown_data> mb_dev(devices.size());
+    llama_memory_breakdown_data              mb_host;
+
+    for (const auto & buft_mb : memory_breakdown) {
+        ggml_backend_buffer_type_t          buft = buft_mb.first;
+        const llama_memory_breakdown_data & mb   = buft_mb.second;
+        if (ggml_backend_buft_is_host(buft)) {
+            mb_host.model   += mb.model;
+            mb_host.context += mb.context;
+            mb_host.compute += mb.compute;
+            seen_buffer_types.insert(buft);
+            continue;
+        }
+        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
+        if (dev) {
+            int i_dev = -1;
+            for (size_t i = 0; i < devices.size(); i++) {
+                if (devices[i] == dev) {
+                    i_dev = i;
+                    break;
+                }
+            }
+            if (i_dev != -1) {
+                mb_dev[i_dev].model   += mb.model;
+                mb_dev[i_dev].context += mb.context;
+                mb_dev[i_dev].compute += mb.compute;
+                seen_buffer_types.insert(buft);
+                continue;
+            }
+        }
+    }
+
+    // print memory breakdown for each device:
+    for (size_t i = 0; i < devices.size(); i++) {
+        ggml_backend_dev_t dev = devices[i];
+        llama_memory_breakdown_data mb = mb_dev[i];
+
+        const std::string name = ggml_backend_dev_name(dev);
+        std::string desc = ggml_backend_dev_description(dev);
+        for (const std::string & prefix : desc_prefixes_strip) {
+            if (desc.length() >= prefix.length() && desc.substr(0, prefix.length()) == prefix) {
+                desc = desc.substr(prefix.length());
+            }
+        }
+
+        size_t free, total;
+        ggml_backend_dev_memory(dev, &free, &total);
+
+        const size_t self = mb.model + mb.context + mb.compute;
+        const int64_t unaccounted = static_cast<int64_t>(total) - static_cast<int64_t>(free) - static_cast<int64_t>(self);
+
+        table_data.push_back({
+            template_gpu,
+            "  - " + name + " (" + desc + ")",
+            std::to_string(total / MiB),
+            std::to_string(free / MiB),
+            std::to_string(self / MiB),
+            std::to_string(mb.model / MiB),
+            std::to_string(mb.context / MiB),
+            std::to_string(mb.compute / MiB),
+            std::to_string(unaccounted / static_cast<int64_t>(MiB))});
+    }
+
+    // print memory breakdown for host:
+    {
+        const size_t self = mb_host.model + mb_host.context + mb_host.compute;
+        table_data.push_back({
+            template_other,
+            "  - Host",
+            "", // total
+            "", // free
+            std::to_string(self / MiB),
+            std::to_string(mb_host.model / MiB),
+            std::to_string(mb_host.context / MiB),
+            std::to_string(mb_host.compute / MiB),
+            ""}); // unaccounted
+    }
+
+    // print memory breakdown for all remaining buffer types:
+    for (const auto & buft_mb : memory_breakdown) {
+        ggml_backend_buffer_type_t          buft = buft_mb.first;
+        const llama_memory_breakdown_data & mb   = buft_mb.second;
+        if (seen_buffer_types.count(buft) == 1) {
+            continue;
+        }
+        const std::string name = ggml_backend_buft_name(buft);
+        const size_t self = mb.model + mb.context + mb.compute;
+        table_data.push_back({
+            template_other,
+            "  - " + name,
+            "", // total
+            "", // free
+            std::to_string(self / MiB),
+            std::to_string(mb.model / MiB),
+            std::to_string(mb.context / MiB),
+            std::to_string(mb.compute / MiB),
+            ""}); // unaccounted
+        seen_buffer_types.insert(buft);
+    }
+
+    for (size_t j = 1; j < table_data[0].size(); j++) {
+        size_t max_len = 0;
+        for (const auto & td : table_data) {
+            max_len = std::max(max_len, td[j].length());
+        }
+        for (auto & td : table_data) {
+            td[j].insert(j == 1 ? td[j].length() : 0, max_len - td[j].length(), ' ');
+        }
+    }
+    for (const auto & td : table_data) {
+        LOG_INF(td[0].c_str(),
+            __func__, td[1].c_str(), td[2].c_str(), td[3].c_str(), td[4].c_str(), td[5].c_str(),
+            td[6].c_str(), td[7].c_str(), td[8].c_str());
+    }
+}
+
+void common_fit_print(
+        const char * path_model,
+        llama_model_params * mparams,
+        llama_context_params * cparams) {
+    std::vector<ggml_backend_dev_t> devs;
+    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
+    uint32_t hp_nct = 0; // hparams.n_ctx_train
+    uint32_t hp_nex = 0; // hparams.n_expert
+
+    auto dmd = common_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, GGML_LOG_LEVEL_ERROR);
+    GGML_ASSERT(dmd.size() == devs.size() + 1);
+
+    for (size_t id = 0; id < devs.size(); id++) {
+        printf("%s ",  ggml_backend_dev_name(devs[id]));
+        printf("%zu ", dmd[id].mb.model/1024/1024);
+        printf("%zu ", dmd[id].mb.context/1024/1024);
+        printf("%zu ", dmd[id].mb.compute/1024/1024);
+        printf("\n");
+    }
+
+    printf("Host ");
+    printf("%zu ", dmd.back().mb.model/1024/1024);
+    printf("%zu ", dmd.back().mb.context/1024/1024);
+    printf("%zu ", dmd.back().mb.compute/1024/1024);
+    printf("\n");
+}
diff --git a/common/fit.h b/common/fit.h
new file mode 100644
index 000000000..e066092ec
--- /dev/null
+++ b/common/fit.h
@@ -0,0 +1,32 @@
+#pragma once
+
+#include "ggml.h"
+
+enum common_params_fit_status {
+    COMMON_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit
+    COMMON_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
+};
+
+// fits mparams and cparams to free device memory (assumes system memory is unlimited)
+//   - returns true if the parameters could be successfully modified to fit device memory
+//   - this function is NOT thread safe because it modifies the global llama logger state
+//   - only parameters that have the same value as in llama_default_model_params are modified
+//     with the exception of the context size which is modified if and only if equal to 0
+enum common_params_fit_status common_fit_params(
+                               const char   * path_model,
+                struct llama_model_params   * mparams,
+                struct llama_context_params * cparams,
+                                      float * tensor_split,          // writable buffer for tensor split, needs at least llama_max_devices elements
+    struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
+                                     size_t * margins,               // margins of memory to leave per device in bytes
+                                   uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
+                        enum ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
+
+// print estimated memory to stdout
+void common_fit_print(
+                               const char   * path_model,
+                struct llama_model_params   * mparams,
+                struct llama_context_params * cparams);
+
+void common_memory_breakdown_print(const struct llama_context * ctx);
diff --git a/common/hf-cache.cpp b/common/hf-cache.cpp
index 665c9ff06..20f33e4c7 100644
--- a/common/hf-cache.cpp
+++ b/common/hf-cache.cpp
@@ -1,5 +1,6 @@
 #include "hf-cache.h"
 
+#include "build-info.h"
 #include "common.h"
 #include "log.h"
 #include "http.h"
@@ -56,7 +57,7 @@ static fs::path get_cache_directory() {
 #ifndef _WIN32
         const struct passwd * pw = getpwuid(getuid());
 
-        if (pw->pw_dir && *pw->pw_dir) {
+        if (pw && pw->pw_dir && *pw->pw_dir) {
             return fs::path(pw->pw_dir) / ".cache" / "huggingface" / "hub";
         }
 #endif
@@ -200,7 +201,7 @@ static nl::json api_get(const std::string & url,
     auto [cli, parts] = common_http_client(url);
 
     httplib::Headers headers = {
-        {"User-Agent", "llama-cpp/" + build_info},
+        {"User-Agent", "llama-cpp/" + std::string(llama_build_info())},
         {"Accept", "application/json"}
     };
 
@@ -229,7 +230,7 @@ static nl::json api_get(const std::string & url,
 static std::string get_repo_commit(const std::string & repo_id,
                                    const std::string & token) {
     try {
-        auto endpoint = get_model_endpoint();
+        auto endpoint = common_get_model_endpoint();
         auto json = api_get(endpoint + "api/models/" + repo_id + "/refs", token);
 
         if (!json.is_object() ||
@@ -307,7 +308,7 @@ hf_files get_repo_files(const std::string & repo_id,
     hf_files files;
 
     try {
-        auto endpoint = get_model_endpoint();
+        auto endpoint = common_get_model_endpoint();
         auto json = api_get(endpoint + "api/models/" + repo_id + "/tree/" + commit + "?recursive=true", token);
 
         if (!json.is_array()) {
diff --git a/common/jinja/caps.cpp b/common/jinja/caps.cpp
index ec207a53e..ead864763 100644
--- a/common/jinja/caps.cpp
+++ b/common/jinja/caps.cpp
@@ -1,4 +1,3 @@
-#include "log.h"
 #include "value.h"
 #include "runtime.h"
 #include "caps.h"
diff --git a/common/jinja/runtime.cpp b/common/jinja/runtime.cpp
index 5b51427aa..f81d98d95 100644
--- a/common/jinja/runtime.cpp
+++ b/common/jinja/runtime.cpp
@@ -251,6 +251,23 @@ value binary_expression::execute_impl(context & ctx) {
         return res;
     }
 
+    // Python-style string repetition
+    // TODO: support array/tuple repetition (e.g., [1, 2] * 3 → [1, 2, 1, 2, 1, 2])
+    if (op.value == "*" &&
+            ((is_val<value_string>(left_val) && is_val<value_int>(right_val)) ||
+             (is_val<value_int>(left_val) && is_val<value_string>(right_val)))) {
+        const auto & str = is_val<value_string>(left_val) ? left_val->as_string() : right_val->as_string();
+        const int64_t repeat = is_val<value_int>(right_val) ? right_val->as_int() : left_val->as_int();
+        auto res = mk_val<value_string>();
+        if (repeat <= 0) {
+            return res;
+        }
+        for (int64_t i = 0; i < repeat; ++i) {
+            res->val_str = res->val_str.append(str);
+        }
+        return res;
+    }
+
     // String membership
     if (is_val<value_string>(left_val) && is_val<value_string>(right_val)) {
         // case: "a" in "abc"
diff --git a/common/jinja/runtime.h b/common/jinja/runtime.h
index 3ca5f1754..b6f4a6ab4 100644
--- a/common/jinja/runtime.h
+++ b/common/jinja/runtime.h
@@ -106,10 +106,16 @@ struct statement {
     size_t pos; // position in source, for debugging
     virtual ~statement() = default;
     virtual std::string type() const { return "Statement"; }
+
     // execute_impl must be overridden by derived classes
-    virtual value execute_impl(context &) { throw std::runtime_error("cannot exec " + type()); }
+    virtual value execute_impl(context &) { throw_exec_error(); }
     // execute is the public method to execute a statement with error handling
     value execute(context &);
+
+private:
+    [[noreturn]] void throw_exec_error() const {
+        throw std::runtime_error("cannot exec " + type());
+    }
 };
 
 // Type Checking Utilities
@@ -143,7 +149,7 @@ struct program : public statement {
     program() = default;
     explicit program(statements && body) : body(std::move(body)) {}
     std::string type() const override { return "Program"; }
-    value execute_impl(context &) override {
+    [[noreturn]] value execute_impl(context &) override {
         throw std::runtime_error("Cannot execute program directly, use jinja::runtime instead");
     }
 };
@@ -195,7 +201,7 @@ struct break_statement : public statement {
         }
     };
 
-    value execute_impl(context &) override {
+    [[noreturn]] value execute_impl(context &) override {
         throw break_statement::signal();
     }
 };
@@ -209,7 +215,7 @@ struct continue_statement : public statement {
         }
     };
 
-    value execute_impl(context &) override {
+    [[noreturn]] value execute_impl(context &) override {
         throw continue_statement::signal();
     }
 };
@@ -509,7 +515,7 @@ struct slice_expression : public expression {
         chk_type<expression>(this->step_expr);
     }
     std::string type() const override { return "SliceExpression"; }
-    value execute_impl(context &) override {
+    [[noreturn]] value execute_impl(context &) override {
         throw std::runtime_error("must be handled by MemberExpression");
     }
 };
diff --git a/common/jinja/value.cpp b/common/jinja/value.cpp
index 7dc1d6540..0b79098cd 100644
--- a/common/jinja/value.cpp
+++ b/common/jinja/value.cpp
@@ -1,4 +1,5 @@
 #include "runtime.h"
+#include "unicode.h"
 #include "value.h"
 
 // for converting from JSON to jinja values
@@ -154,6 +155,83 @@ static value test_compare_fn(const func_args & args) {
     return mk_val<value_bool>(value_compare(args.get_pos(0), args.get_pos(1), op));
 }
 
+static void append_codepoint_as_ascii_json_escape(std::string & out, uint32_t codepoint) {
+    auto append_u16 = [&out](uint32_t value) {
+        char buf[8];
+        snprintf(buf, sizeof(buf), "\\u%04x", static_cast<unsigned int>(value));
+        out += buf;
+    };
+
+    if (codepoint <= 0xFFFF) {
+        append_u16(codepoint);
+        return;
+    }
+
+    codepoint -= 0x10000;
+    append_u16(0xD800 + ((codepoint >> 10) & 0x3FF));
+    append_u16(0xDC00 + (codepoint & 0x3FF));
+}
+
+static std::string json_ensure_ascii_preserving_format(const std::string & json_str) {
+    std::string output;
+    output.reserve(json_str.size());
+
+    bool in_string = false;
+    bool escaped = false;
+
+    for (size_t pos = 0; pos < json_str.size();) {
+        const char ch = json_str[pos];
+        if (!in_string) {
+            output.push_back(ch);
+            if (ch == '"') {
+                in_string = true;
+            }
+            ++pos;
+            continue;
+        }
+
+        if (escaped) {
+            output.push_back(ch);
+            escaped = false;
+            ++pos;
+            continue;
+        }
+
+        if (ch == '\\') {
+            output.push_back(ch);
+            escaped = true;
+            ++pos;
+            continue;
+        }
+
+        if (ch == '"') {
+            output.push_back(ch);
+            in_string = false;
+            ++pos;
+            continue;
+        }
+
+        const unsigned char uch = static_cast<unsigned char>(ch);
+        if (uch < 0x80) {
+            output.push_back(ch);
+            ++pos;
+            continue;
+        }
+
+        auto parsed = common_parse_utf8_codepoint(json_str, pos);
+        if (parsed.status != utf8_parse_result::SUCCESS) {
+            output += "\\ufffd";
+            ++pos;
+            continue;
+        }
+
+        append_codepoint_as_ascii_json_escape(output, parsed.codepoint);
+        pos += parsed.bytes_consumed;
+    }
+
+    return output;
+}
+
 static value tojson(const func_args & args) {
     args.ensure_count(1, 5);
     value val_ascii      = args.get_kwarg_or_pos("ensure_ascii", 1);
@@ -169,16 +247,17 @@ static value tojson(const func_args & args) {
     if (is_val<value_int>(val_indent)) {
         indent = static_cast<int>(val_indent->as_int());
     }
-    if (val_ascii->as_bool()) { // undefined == false
-        throw not_implemented_exception("tojson ensure_ascii=true not implemented");
-    }
     if (val_sort->as_bool()) { // undefined == false
         throw not_implemented_exception("tojson sort_keys=true not implemented");
     }
+    const bool ensure_ascii = val_ascii->as_bool(); // undefined == false
     auto separators = (is_val<value_array>(val_separators) ? val_separators : mk_val<value_array>())->as_array();
     std::string item_sep = separators.size() > 0 ? separators[0]->as_string().str() : (indent < 0 ? ", " : ",");
     std::string key_sep = separators.size() > 1 ? separators[1]->as_string().str() : ": ";
     std::string json_str = value_to_json(args.get_pos(0), indent, item_sep, key_sep);
+    if (ensure_ascii) {
+        json_str = json_ensure_ascii_preserving_format(json_str);
+    }
     return mk_val<value_string>(json_str);
 }
 
@@ -460,6 +539,10 @@ const func_builtins & value_int_t::get_builtins() const {
             int64_t val = args.get_pos(0)->as_int();
             return mk_val<value_int>(val < 0 ? -val : val);
         }},
+        {"int", [](const func_args & args) -> value {
+            args.ensure_vals<value_int>();
+            return mk_val<value_int>(args.get_pos(0)->as_int());
+        }},
         {"float", [](const func_args & args) -> value {
             args.ensure_vals<value_int>();
             double val = static_cast<double>(args.get_pos(0)->as_int());
@@ -486,6 +569,10 @@ const func_builtins & value_float_t::get_builtins() const {
             int64_t val = static_cast<int64_t>(args.get_pos(0)->as_float());
             return mk_val<value_int>(val);
         }},
+        {"float", [](const func_args & args) -> value {
+            args.ensure_vals<value_float>();
+            return mk_val<value_float>(args.get_pos(0)->as_float());
+        }},
         {"safe", tojson},
         {"string", tojson},
         {"tojson", tojson},
@@ -503,6 +590,10 @@ static bool string_endswith(const std::string & str, const std::string & suffix)
     return str.compare(str.length() - suffix.length(), suffix.length(), suffix) == 0;
 }
 
+[[noreturn]] static value string_join_not_implemented(const func_args &) {
+    throw not_implemented_exception("String join builtin not implemented");
+}
+
 const func_builtins & value_string_t::get_builtins() const {
     static const func_builtins builtins = {
         {"default", default_value},
@@ -764,9 +855,7 @@ const func_builtins & value_string_t::get_builtins() const {
             res->val_str.mark_input_based_on(val_input->as_string());
             return res;
         }},
-        {"join", [](const func_args &) -> value {
-            throw not_implemented_exception("String join builtin not implemented");
-        }},
+        {"join", string_join_not_implemented},
     };
     return builtins;
 }
@@ -797,6 +886,9 @@ const func_builtins & value_bool_t::get_builtins() const {
     return builtins;
 }
 
+[[noreturn]] static value array_unique_not_implemented(const func_args &) {
+    throw not_implemented_exception("Array unique builtin not implemented");
+}
 
 const func_builtins & value_array_t::get_builtins() const {
     static const func_builtins builtins = {
@@ -997,13 +1089,14 @@ const func_builtins & value_array_t::get_builtins() const {
             std::reverse(arr.begin(), arr.end());
             return is_val<value_tuple>(val) ? mk_val<value_tuple>(std::move(arr)) : mk_val<value_array>(std::move(arr));
         }},
-        {"unique", [](const func_args &) -> value {
-            throw not_implemented_exception("Array unique builtin not implemented");
-        }},
+        {"unique", array_unique_not_implemented},
     };
     return builtins;
 }
 
+[[noreturn]] static value object_join_not_implemented(const func_args &) {
+    throw not_implemented_exception("object join not implemented");
+}
 
 const func_builtins & value_object_t::get_builtins() const {
     if (!has_builtins) {
@@ -1096,9 +1189,7 @@ const func_builtins & value_object_t::get_builtins() const {
             });
             return result;
         }},
-        {"join", [](const func_args &) -> value {
-            throw not_implemented_exception("object join not implemented");
-        }},
+        {"join", object_join_not_implemented},
     };
     return builtins;
 }
diff --git a/common/jinja/value.h b/common/jinja/value.h
index 7d164588a..5cf85e4f5 100644
--- a/common/jinja/value.h
+++ b/common/jinja/value.h
@@ -129,27 +129,25 @@ struct value_t {
     // Note: only for debugging and error reporting purposes
     virtual std::string type() const { return ""; }
 
-    virtual int64_t as_int() const { throw std::runtime_error(type() + " is not an int value"); }
-    virtual double as_float() const { throw std::runtime_error(type() + " is not a float value"); }
-    virtual string as_string() const { throw std::runtime_error(type() + " is not a string value"); }
-    virtual bool as_bool() const { throw std::runtime_error(type() + " is not a bool value"); }
-    virtual const std::vector<value> & as_array() const { throw std::runtime_error(type() + " is not an array value"); }
-    virtual const std::vector<std::pair<value, value>> & as_ordered_object() const { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value invoke(const func_args &) const { throw std::runtime_error(type() + " is not a function value"); }
+    virtual int64_t as_int() const { throw_type_error("is not an int value"); }
+    virtual double as_float() const { throw_type_error("is not a float value"); }
+    virtual string as_string() const { throw_type_error("is not a string value"); }
+    virtual bool as_bool() const { throw_type_error("is not a bool value"); }
+    virtual const std::vector<value> & as_array() const { throw_type_error("is not an array value"); }
+    virtual const std::vector<std::pair<value, value>> & as_ordered_object() const { throw_type_error("is not an object value"); }
+    virtual value invoke(const func_args &) const { throw_type_error("is not a function value"); }
     virtual bool is_none() const { return false; }
     virtual bool is_undefined() const { return false; }
-    virtual const func_builtins & get_builtins() const {
-        throw std::runtime_error("No builtins available for type " + type());
-    }
+    virtual const func_builtins & get_builtins() const { throw_type_error("has no builtins"); }
 
-    virtual bool has_key(const value &) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual void insert(const value & /* key */, const value & /* val */) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value & at(const value & /* key */, value & /* default_val */) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value & at(const value & /* key */) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value & at(const std::string & /* key */, value & /* default_val */) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value & at(const std::string & /* key */) { throw std::runtime_error(type() + " is not an object value"); }
-    virtual value & at(int64_t /* idx */, value & /* default_val */) { throw std::runtime_error(type() + " is not an array value"); }
-    virtual value & at(int64_t /* idx */) { throw std::runtime_error(type() + " is not an array value"); }
+    virtual bool has_key(const value &) { throw_type_error("is not an object value"); }
+    virtual void insert(const value & /* key */, const value & /* val */) { throw_type_error("is not an object value"); }
+    virtual value & at(const value & /* key */, value & /* default_val */) { throw_type_error("is not an object value"); }
+    virtual value & at(const value & /* key */) { throw_type_error("is not an object value"); }
+    virtual value & at(const std::string & /* key */, value & /* default_val */) { throw_type_error("is not an object value"); }
+    virtual value & at(const std::string & /* key */) { throw_type_error("is not an object value"); }
+    virtual value & at(int64_t /* idx */, value & /* default_val */) { throw_type_error("is not an array value"); }
+    virtual value & at(int64_t /* idx */) { throw_type_error("is not an array value"); }
 
     virtual bool is_numeric() const { return false; }
     virtual bool is_hashable() const { return false; }
@@ -163,6 +161,11 @@ struct value_t {
     // Note: only for debugging purposes
     virtual std::string as_repr() const { return as_string().str(); }
 
+private:
+    [[noreturn]] void throw_type_error(const char* expected) const {
+        throw std::runtime_error(type() + " " + expected);
+    }
+
 protected:
     virtual bool equivalent(const value_t &) const = 0;
     virtual bool nonequal(const value_t & other) const { return !equivalent(other); }
diff --git a/common/log.cpp b/common/log.cpp
index b17d2b62c..4b4159db4 100644
--- a/common/log.cpp
+++ b/common/log.cpp
@@ -23,6 +23,10 @@
 
 int common_log_verbosity_thold = LOG_DEFAULT_LLAMA;
 
+int common_log_get_verbosity_thold(void) {
+    return common_log_verbosity_thold;
+}
+
 void common_log_set_verbosity_thold(int verbosity) {
     common_log_verbosity_thold = verbosity;
 }
@@ -45,7 +49,7 @@ enum common_log_col : int {
 };
 
 // disable colors by default
-static std::vector<const char *> g_col = {
+static const char* g_col[] = {
     "",
     "",
     "",
@@ -243,7 +247,6 @@ struct common_log {
 
             entries = std::move(new_entries);
         }
-
         cv.notify_one();
     }
 
@@ -261,7 +264,6 @@ struct common_log {
                 {
                     std::unique_lock<std::mutex> lock(mtx);
                     cv.wait(lock, [this]() { return head != tail; });
-
                     cur = entries[head];
 
                     head = (head + 1) % entries.size();
@@ -297,7 +299,6 @@ struct common_log {
 
                 tail = (tail + 1) % entries.size();
             }
-
             cv.notify_one();
         }
 
@@ -334,7 +335,7 @@ struct common_log {
             g_col[COMMON_LOG_COL_CYAN]    = LOG_COL_CYAN;
             g_col[COMMON_LOG_COL_WHITE]   = LOG_COL_WHITE;
         } else {
-            for (size_t i = 0; i < g_col.size(); i++) {
+            for (size_t i = 0; i < std::size(g_col); i++) {
                 g_col[i] = "";
             }
         }
@@ -364,14 +365,20 @@ struct common_log * common_log_init() {
 }
 
 struct common_log * common_log_main() {
-    static struct common_log log;
+    // We intentionally leak (i.e. do not delete) the logger singleton because
+    // common_log destructor called at DLL teardown phase will cause hanging on Windows.
+    // OS will release resources anyway so it should not be a significant issue,
+    // though this design may cause logs to be lost if not flushed before the program exits.
+    // Refer to https://github.com/ggml-org/llama.cpp/issues/22142 for details.
+    static struct common_log * log;
     static std::once_flag    init_flag;
     std::call_once(init_flag, [&]() {
+        log = new common_log;
         // Set default to auto-detect colors
-        log.set_colors(tty_can_use_colors());
+        log->set_colors(tty_can_use_colors());
     });
 
-    return &log;
+    return log;
 }
 
 void common_log_pause(struct common_log * log) {
diff --git a/common/log.h b/common/log.h
index f0f8471b5..8ee3e6b13 100644
--- a/common/log.h
+++ b/common/log.h
@@ -38,7 +38,7 @@ enum log_colors {
 
 // needed by the LOG_TMPL macro to avoid computing log arguments if the verbosity lower
 // set via common_log_set_verbosity()
-extern int common_log_verbosity_thold;
+int  common_log_get_verbosity_thold(void);
 
 void common_log_set_verbosity_thold(int verbosity); // not thread-safe
 
@@ -49,7 +49,11 @@ void common_log_default_callback(enum ggml_log_level level, const char * text, v
 struct common_log;
 
 struct common_log * common_log_init();
-struct common_log * common_log_main(); // singleton, automatically destroys itself on exit
+
+// Singleton, intentionally leaked to avoid Windows teardown hangs.
+// Call common_log_flush() before exit if you want to ensure all logs are flushed.
+struct common_log * common_log_main();
+
 void                common_log_pause (struct common_log * log); // pause  the worker thread, not thread-safe
 void                common_log_resume(struct common_log * log); // resume the worker thread, not thread-safe
 void                common_log_free  (struct common_log * log);
@@ -98,7 +102,7 @@ void common_log_flush         (struct common_log * log);                    // f
 
 #define LOG_TMPL(level, verbosity, ...) \
     do { \
-        if ((verbosity) <= common_log_verbosity_thold) { \
+        if ((verbosity) <= common_log_get_verbosity_thold()) { \
             common_log_add(common_log_main(), (level), __VA_ARGS__); \
         } \
     } while (0)
diff --git a/common/ngram-map.cpp b/common/ngram-map.cpp
index ebf771a24..8e3978f7e 100644
--- a/common/ngram-map.cpp
+++ b/common/ngram-map.cpp
@@ -208,7 +208,7 @@ void common_ngram_map_begin(
                 count_keys, count_keys_del, count_values_del, count_map_entries_upd);
     }
 
-    map.idx_last_check = (map.size_last_begin > 0) ? map.size_last_begin - 1 : 0;
+    map.idx_last_check = size_begin;
     map.size_last_begin = size_begin;
 }
 
@@ -231,7 +231,7 @@ void common_ngram_map_draft(common_ngram_map & map,
         GGML_ABORT("%s: cur_len exceeds UINT32_MAX: %zu", __func__, cur_len);
     }
 
-    if (map.idx_last_check  > cur_len) {
+    if (map.idx_last_check > cur_len) {
         // Should not happen because of common_ngram_map_begin().
         GGML_ABORT("%s: map.idx_last_check > cur_len: %zu > %zu", __func__, map.idx_last_check, cur_len);
     }
@@ -386,7 +386,7 @@ void common_ngram_map_draft(common_ngram_map & map,
         LOG_DBG("%s: key_idx = %zu, key_offset = %zu, key_num = %d, draft.size = %zu\n", __func__,
                 curr_key.key_idx, key_offset, curr_key.key_num, draft.size());
 
-        map.last_draft_created   = false;
+        map.last_draft_created   = true;
         map.last_draft_key_idx   = key_offset;
         map.last_draft_value_idx = 0; // value 0 is used for simple mode
         return;
@@ -524,7 +524,7 @@ void common_ngram_map_accept(common_ngram_map & map, uint16_t n_accepted) {
     struct common_ngram_map_value & curr_value = curr_key.values[val_idx]; // value used for draft generation.
 
     // update the value statistics
-    LOG_INF("common_ngram_map_send_accepted: n_accepted = %d, prev value_num = %d\n",
+    LOG_DBG("common_ngram_map_send_accepted: n_accepted = %d, prev value_num = %d\n",
             n_accepted, curr_value.n_accepted);
     curr_value.n_accepted = n_accepted;
 }
diff --git a/common/peg-parser.cpp b/common/peg-parser.cpp
index 59fa4c5c5..e37c1ce80 100644
--- a/common/peg-parser.cpp
+++ b/common/peg-parser.cpp
@@ -890,6 +890,10 @@ struct parser_executor {
         }
         return result;
     }
+
+    common_peg_parse_result operator()(const common_peg_gbnf_parser & p) {
+        return arena.parse(p.child, ctx, start_pos);
+    }
 };
 
 common_peg_parse_result common_peg_arena::parse(common_peg_parse_context & ctx, size_t start) const {
@@ -957,7 +961,8 @@ void common_peg_arena::resolve_refs() {
                                  std::is_same_v<T, common_peg_and_parser> ||
                                  std::is_same_v<T, common_peg_not_parser> ||
                                  std::is_same_v<T, common_peg_tag_parser> ||
-                                 std::is_same_v<T, common_peg_atomic_parser>) {
+                                 std::is_same_v<T, common_peg_atomic_parser> ||
+                                 std::is_same_v<T, common_peg_gbnf_parser>) {
                 p.child = resolve_ref(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
                 p.child = resolve_ref(p.child);
@@ -1036,6 +1041,8 @@ std::string common_peg_arena::dump_impl(common_peg_parser_id
             return "Not(" + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
             return "Atomic(" + dump_impl(p.child, visited) + ")";
+        } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+            return "Gbnf(" + p.grammar + ", " + dump_impl(p.child, visited) + ")";
         } else if constexpr (std::is_same_v<T, common_peg_any_parser>) {
             return "Any";
         } else if constexpr (std::is_same_v<T, common_peg_space_parser>) {
@@ -1565,6 +1572,7 @@ static std::unordered_set<std::string> collect_reachable_rules(
                                  std::is_same_v<T, common_peg_not_parser> ||
                                  std::is_same_v<T, common_peg_tag_parser> ||
                                  std::is_same_v<T, common_peg_atomic_parser> ||
+                                 std::is_same_v<T, common_peg_gbnf_parser> ||
                                  std::is_same_v<T, common_peg_schema_parser>) {
                 visit(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_rule_parser>) {
@@ -1651,10 +1659,13 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
             } else if constexpr (std::is_same_v<T, common_peg_sequence_parser>) {
                 std::string s;
                 for (const auto & child : p.children) {
+                    auto child_gbnf = to_gbnf(child);
+                    if (child_gbnf.empty()) {
+                        continue;
+                    }
                     if (!s.empty()) {
                         s += " ";
                     }
-                    auto child_gbnf = to_gbnf(child);
                     const auto & child_parser = effective_parser(child);
                     if (std::holds_alternative<common_peg_choice_parser>(child_parser) ||
                         std::holds_alternative<common_peg_sequence_parser>(child_parser)) {
@@ -1754,6 +1765,8 @@ void common_peg_arena::build_grammar(const common_grammar_builder & builder, boo
                 return to_gbnf(p.child);
             } else if constexpr (std::is_same_v<T, common_peg_atomic_parser>) {
                 return to_gbnf(p.child);
+            } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+                return p.grammar;
             } else {
                 static_assert(is_always_false_v<T>);
             }
@@ -1888,6 +1901,8 @@ static nlohmann::json serialize_parser_variant(const common_peg_parser_variant &
                 {"child", p.child},
                 {"tag", p.tag}
             };
+        } else if constexpr (std::is_same_v<T, common_peg_gbnf_parser>) {
+            return json{{"type", "gbnf"}, {"child", p.child}, {"grammar", p.grammar}};
         }
     }, variant);
 }
@@ -2050,6 +2065,16 @@ static common_peg_parser_variant deserialize_parser_variant(const nlohmann::json
         };
     }
 
+    if (type == "gbnf") {
+        if (!j.contains("child") || !j.contains("grammar")) {
+            throw std::runtime_error("gbnf parser missing required fields");
+        }
+        return common_peg_gbnf_parser{
+            j["child"].get<common_peg_parser_id>(),
+            j["grammar"].get<std::string>(),
+        };
+    }
+
     throw std::runtime_error("Unknown parser type: " + type);
 }
 
diff --git a/common/peg-parser.h b/common/peg-parser.h
index f242fc421..b6bb05214 100644
--- a/common/peg-parser.h
+++ b/common/peg-parser.h
@@ -270,6 +270,11 @@ struct common_peg_tag_parser {
     std::string tag;
 };
 
+struct common_peg_gbnf_parser {
+    common_peg_parser_id child;
+    std::string grammar;
+};
+
 // Variant holding all parser types
 using common_peg_parser_variant = std::variant<
     common_peg_epsilon_parser,
@@ -290,7 +295,8 @@ using common_peg_parser_variant = std::variant<
     common_peg_rule_parser,
     common_peg_ref_parser,
     common_peg_atomic_parser,
-    common_peg_tag_parser
+    common_peg_tag_parser,
+    common_peg_gbnf_parser
 >;
 
 class common_peg_arena {
@@ -504,6 +510,10 @@ class common_peg_parser_builder {
     // Unlike rules, you can tag multiple nodes with the same tag.
     common_peg_parser tag(const std::string & tag, const common_peg_parser & p) { return add(common_peg_tag_parser{p.id(), tag}); }
 
+    // Wraps a child parser but emits a custom GBNF grammar string instead of
+    // the child's grammar. Parsing delegates entirely to the child.
+    common_peg_parser gbnf(const common_peg_parser & p, const std::string & grammar) { return add(common_peg_gbnf_parser{p, grammar}); }
+
     void set_root(const common_peg_parser & p);
 
     common_peg_arena build();
diff --git a/common/preset.cpp b/common/preset.cpp
index 57ccd000b..9187a67f0 100644
--- a/common/preset.cpp
+++ b/common/preset.cpp
@@ -43,7 +43,7 @@ static std::set<std::string> get_remote_preset_whitelist(const std::map<std::str
     for (const auto & it : key_to_opt) {
         const std::string & key = it.first;
         const common_arg & opt = it.second;
-        if (allowed_options.find(key) != allowed_options.end() || opt.is_sparam) {
+        if (allowed_options.find(key) != allowed_options.end() || opt.is_sampling) {
             allowed_keys.insert(key);
             // also add variant keys (args without leading dashes and env vars)
             for (const auto & arg : opt.get_args()) {
diff --git a/common/reasoning-budget.cpp b/common/reasoning-budget.cpp
index cc408a686..8c1f72fc2 100644
--- a/common/reasoning-budget.cpp
+++ b/common/reasoning-budget.cpp
@@ -122,6 +122,20 @@ static void common_reasoning_budget_accept(struct llama_sampler * smpl, llama_to
             }
             break;
         case REASONING_BUDGET_DONE:
+            // Re-arm on a new start tag: some models emit multiple <think> blocks
+            // per response, and each should get a fresh budget window.
+            if (ctx->start_matcher.advance(token)) {
+                ctx->state = REASONING_BUDGET_COUNTING;
+                ctx->remaining = ctx->budget;
+                ctx->end_matcher.reset();
+                LOG_INF("reasoning-budget: re-activated on new start tag, budget=%d tokens\n", ctx->budget);
+
+                if (ctx->remaining <= 0) {
+                    ctx->state = REASONING_BUDGET_FORCING;
+                    ctx->force_pos = 0;
+                    LOG_INF("reasoning-budget: budget=0, forcing immediately\n");
+                }
+            }
             break;
     }
 }
@@ -144,6 +158,8 @@ static void common_reasoning_budget_apply(struct llama_sampler * smpl, llama_tok
     for (size_t i = 0; i < cur_p->size; i++) {
         if (cur_p->data[i].id != forced) {
             cur_p->data[i].logit = -INFINITY;
+        } else {
+            cur_p->data[i].logit = +INFINITY; // force the token
         }
     }
 }
@@ -218,34 +234,6 @@ static struct llama_sampler * common_reasoning_budget_init_state(
     );
 }
 
-struct llama_sampler * common_reasoning_budget_init(
-        const struct llama_vocab       * vocab,
-        const std::vector<llama_token> & start_tokens,
-        const std::vector<llama_token> & end_tokens,
-        const std::vector<llama_token> & forced_tokens,
-        int32_t                          budget,
-        const std::vector<llama_token> & prefill_tokens) {
-    // Determine initial state from prefill: COUNTING if the prefill begins with
-    // the start sequence but does not also contain the end sequence after it.
-    common_reasoning_budget_state initial_state = REASONING_BUDGET_IDLE;
-    if (!prefill_tokens.empty() && !start_tokens.empty() &&
-            prefill_tokens.size() >= start_tokens.size() &&
-            std::equal(start_tokens.begin(), start_tokens.end(), prefill_tokens.begin())) {
-        initial_state = REASONING_BUDGET_COUNTING;
-        // If the end sequence also follows the start in the prefill, reasoning
-        // was opened and immediately closed — stay IDLE.
-        if (!end_tokens.empty() &&
-                prefill_tokens.size() >= start_tokens.size() + end_tokens.size()) {
-            auto end_start = prefill_tokens.end() - (ptrdiff_t) end_tokens.size();
-            if (end_start >= prefill_tokens.begin() + (ptrdiff_t) start_tokens.size() &&
-                    std::equal(end_tokens.begin(), end_tokens.end(), end_start)) {
-                initial_state = REASONING_BUDGET_IDLE;
-            }
-        }
-    }
-    return common_reasoning_budget_init_state(vocab, start_tokens, end_tokens, forced_tokens, budget, initial_state);
-}
-
 struct llama_sampler * common_reasoning_budget_init(
         const struct llama_vocab       * vocab,
         const std::vector<llama_token> & start_tokens,
diff --git a/common/reasoning-budget.h b/common/reasoning-budget.h
index ee1a30ed3..ef37f46ee 100644
--- a/common/reasoning-budget.h
+++ b/common/reasoning-budget.h
@@ -29,10 +29,7 @@ enum common_reasoning_budget_state {
 //   end_tokens     - token sequence for natural deactivation
 //   forced_tokens  - token sequence forced when budget expires
 //   budget         - max tokens allowed in the reasoning block
-//   prefill_tokens - tokens already present in the prompt (generation prompt);
-//                    used to determine the initial state: COUNTING if they begin
-//                    with start_tokens (but don't also end with end_tokens),
-//                    IDLE otherwise. COUNTING with budget <= 0 is promoted to FORCING.
+//   initial_state  - initial state
 //
 struct llama_sampler * common_reasoning_budget_init(
         const struct llama_vocab       * vocab,
@@ -40,16 +37,6 @@ struct llama_sampler * common_reasoning_budget_init(
         const std::vector<llama_token> & end_tokens,
         const std::vector<llama_token> & forced_tokens,
         int32_t                          budget,
-        const std::vector<llama_token> & prefill_tokens = {});
-
-// Variant that takes an explicit initial state (used by tests and clone).
-// COUNTING with budget <= 0 is promoted to FORCING.
-struct llama_sampler * common_reasoning_budget_init(
-        const struct llama_vocab       * vocab,
-        const std::vector<llama_token> & start_tokens,
-        const std::vector<llama_token> & end_tokens,
-        const std::vector<llama_token> & forced_tokens,
-        int32_t                          budget,
-        common_reasoning_budget_state    initial_state);
+        common_reasoning_budget_state    initial_state = REASONING_BUDGET_IDLE);
 
 common_reasoning_budget_state common_reasoning_budget_get_state(const struct llama_sampler * smpl);
diff --git a/common/sampling.cpp b/common/sampling.cpp
index 2f60be194..d4a2fdcda 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -1,10 +1,12 @@
 #include "sampling.h"
 
 #include "common.h"
-#include "ggml.h"
+#include "fit.h"
 #include "log.h"
 #include "reasoning-budget.h"
 
+#include "ggml.h"
+
 #include <algorithm>
 #include <cctype>
 #include <climits>
@@ -258,44 +260,51 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
         }
     }
 
-    // Feed generation prompt tokens to the grammar sampler so it advances past
-    // tokens the template already placed in the prompt.
-    // Only applies to output-format and tool-call grammars; user-supplied grammars must not be prefilled.
+    // Compute prefill tokens from the generation prompt
     std::vector<llama_token> prefill_tokens;
-    if (!params.generation_prompt.empty() && common_grammar_needs_prefill(params.grammar)) {
+    if (!params.generation_prompt.empty()) {
         GGML_ASSERT(vocab != nullptr);
-        prefill_tokens = common_tokenize(vocab, params.generation_prompt, false, true);
-        if (!prefill_tokens.empty()) {
-            std::string first_token = common_token_to_piece(vocab, prefill_tokens[0], true);
-            if (std::isspace(first_token[0]) && !std::isspace(params.generation_prompt[0])) {
-                // Some tokenizers will add a space before the first special token, need to remove
-                prefill_tokens = std::vector<llama_token>(prefill_tokens.begin() + 1, prefill_tokens.end());
+        auto tokens = common_tokenize(vocab, params.generation_prompt, false, true);
+        for (size_t i = 0; i < tokens.size(); i++) {
+            std::string piece = common_token_to_piece(vocab, tokens[i], true);
+            if (i == 0 && std::isspace(piece[0]) && !std::isspace(params.generation_prompt[0])) {
+                // Some tokenizers will add a space before the first special token, need to exclude
+                continue;
             }
+            LOG_DBG("%s: prefill token: %d = %s\n", __func__, tokens[i], piece.c_str());
+            prefill_tokens.push_back(tokens[i]);
         }
+    }
 
-        if (grmr && !params.grammar_lazy) {
-            try {
-                for (const auto & token : prefill_tokens) {
-                    llama_sampler_accept(grmr, token);
-                    LOG_DBG("%s: accepted prefill token (%d)\n", __func__, token);
-                }
-            } catch (std::exception &e) {
-                LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__,
-                    common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str());
-                throw e;
+    // Feed generation prompt tokens to the grammar sampler so it advances past
+    // tokens the template already placed in the prompt.
+    // Only applies to output-format and tool-call grammars; user-supplied grammars must not be prefilled.
+    if (grmr && !params.grammar_lazy && common_grammar_needs_prefill(params.grammar)) {
+        try {
+            for (const auto & token : prefill_tokens) {
+                llama_sampler_accept(grmr, token);
+                LOG_DBG("%s: grammar accepted prefill token (%d)\n", __func__, token);
             }
+        } catch (std::exception &e) {
+            LOG_ERR("%s: error initializing grammar sampler for grammar:\n%s\n\nGeneration prompt:\n'%s'\n", __func__,
+                common_grammar_value(params.grammar).c_str(), params.generation_prompt.c_str());
+            throw e;
         }
     }
 
-    // reasoning budget sampler
-    if (!params.reasoning_budget_start.empty() && !params.reasoning_budget_end.empty()) {
+    // reasoning budget sampler (skip when budget is unlimited unless a lazy grammar is active, which needs rbudget for thinking-block suppression)
+    if (!params.reasoning_budget_start.empty() && !params.reasoning_budget_end.empty() && (params.grammar_lazy || params.reasoning_budget_tokens >= 0)) {
         rbudget = common_reasoning_budget_init(
             vocab,
             params.reasoning_budget_start,
             params.reasoning_budget_end,
             params.reasoning_budget_forced,
-            params.reasoning_budget_tokens < 0 ? INT_MAX : params.reasoning_budget_tokens,
-            prefill_tokens);
+            params.reasoning_budget_tokens < 0 ? INT_MAX : params.reasoning_budget_tokens);
+
+        for (const auto & token : prefill_tokens) {
+            llama_sampler_accept(rbudget, token);
+            LOG_DBG("%s: reasoning-budget accepted prefill token (%d)\n", __func__, token);
+        }
     }
 
     if (params.has_logit_bias()) {
@@ -429,7 +438,7 @@ static bool grammar_should_apply(struct common_sampler * gsmpl) {
     return true;
 }
 
-void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool accept_grammar) {
+void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool is_generated) {
     if (!gsmpl) {
         return;
     }
@@ -437,9 +446,11 @@ void common_sampler_accept(struct common_sampler * gsmpl, llama_token token, boo
     const auto tm = gsmpl->tm();
 
     // grammar_should_apply() checks the reasoning budget state, so calculate this before we accept
-    accept_grammar = accept_grammar && grammar_should_apply(gsmpl);
+    const auto accept_grammar = is_generated && grammar_should_apply(gsmpl);
 
-    llama_sampler_accept(gsmpl->rbudget, token);
+    if (gsmpl->rbudget && is_generated) {
+        llama_sampler_accept(gsmpl->rbudget, token);
+    }
 
     if (gsmpl->grmr && accept_grammar) {
         llama_sampler_accept(gsmpl->grmr, token);
@@ -511,7 +522,7 @@ void common_perf_print(const struct llama_context * ctx, const struct common_sam
         LOG_INF("%s: unaccounted time = %10.2f ms / %5.1f %%      (total - sampling - prompt eval - eval) / (total)\n", __func__, t_unacc_ms, t_unacc_pc);
         LOG_INF("%s:    graphs reused = %10d\n", __func__, data.n_reused);
 
-        llama_memory_breakdown_print(ctx);
+        common_memory_breakdown_print(ctx);
     }
 }
 
diff --git a/common/sampling.h b/common/sampling.h
index 5b57ad658..49506a00c 100644
--- a/common/sampling.h
+++ b/common/sampling.h
@@ -41,8 +41,8 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
 
 void common_sampler_free(struct common_sampler * gsmpl);
 
-// if accept_grammar is true, the token is accepted both by the sampling chain and the grammar
-void                    common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool accept_grammar);
+// if is_generated is true, the token is accepted by the sampling chain, the reasoning budget sampler, and the grammar sampler
+void                    common_sampler_accept(struct common_sampler * gsmpl, llama_token token, bool is_generated);
 void                    common_sampler_reset (struct common_sampler * gsmpl);
 struct common_sampler * common_sampler_clone (struct common_sampler * gsmpl);
 
diff --git a/common/speculative.cpp b/common/speculative.cpp
index 3e68c38e4..e9fa751e2 100644
--- a/common/speculative.cpp
+++ b/common/speculative.cpp
@@ -13,6 +13,7 @@
 #include <cstring>
 #include <iomanip>
 #include <map>
+#include <cinttypes>
 
 #define SPEC_VOCAB_MAX_SIZE_DIFFERENCE  128
 #define SPEC_VOCAB_CHECK_START_TOKEN_ID 5
@@ -60,18 +61,26 @@ static bool common_speculative_are_compatible(
     LOG_DBG("%s: vocab_type dft: %d\n", __func__, vocab_type_dft);
 
     if (vocab_type_tgt != vocab_type_dft) {
-        LOG_DBG("%s: draft model vocab type must match target model to use speculation but ", __func__);
-        LOG_DBG("vocab_type_dft = %d while vocab_type_tgt = %d\n", vocab_type_dft, vocab_type_tgt);
+        LOG_WRN("%s: draft model vocab type must match target model to use speculation but "
+                "vocab_type_dft = %d while vocab_type_tgt = %d\n", __func__, vocab_type_dft, vocab_type_tgt);
         return false;
     }
 
-    if (
-        llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) ||
-        llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) ||
-        llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft) ||
-        llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft)
-    ) {
-        LOG_DBG("%s: draft model special tokens must match target model to use speculation\n", __func__);
+    if (llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) ||
+        (llama_vocab_get_add_bos(vocab_tgt) && llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft))) {
+        LOG_WRN("%s: draft model bos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n",
+                __func__,
+                llama_vocab_get_add_bos(vocab_tgt), llama_vocab_get_add_bos(vocab_dft),
+                llama_vocab_bos(vocab_tgt), llama_vocab_bos(vocab_dft));
+        return false;
+    }
+
+    if (llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) ||
+        (llama_vocab_get_add_eos(vocab_tgt) && llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft))) {
+        LOG_WRN("%s: draft model eos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n",
+                __func__,
+                llama_vocab_get_add_eos(vocab_tgt), llama_vocab_get_add_eos(vocab_dft),
+                llama_vocab_eos(vocab_tgt), llama_vocab_eos(vocab_dft));
         return false;
     }
 
@@ -142,12 +151,31 @@ struct common_speculative_state {
             llama_tokens & result) = 0;
 
     virtual void accept(uint16_t n_accepted) = 0;
+
+    virtual int32_t n_max(const common_params_speculative & params) const = 0;
+    virtual int32_t n_min(const common_params_speculative & params) const = 0;
+};
+
+struct common_speculative_checkpoint {
+    llama_pos pos_min  = 0;
+    llama_pos pos_max  = 0;
+
+    int64_t   n_tokens = 0;
+
+    std::vector<uint8_t> data;
+
+    size_t size() const {
+        return data.size();
+    }
 };
 
 struct common_speculative_state_draft : public common_speculative_state {
     llama_context * ctx_tgt; // only used for retokenizing from ctx_dft
     llama_context * ctx_dft;
 
+    bool use_ckpt = false;
+    common_speculative_checkpoint ckpt;
+
     common_sampler * smpl;
 
     llama_batch  batch;
@@ -160,10 +188,12 @@ struct common_speculative_state_draft : public common_speculative_state {
             enum common_speculative_type type,
             llama_context * ctx_tgt,
             llama_context * ctx_dft,
-            const std::vector<std::pair<std::string, std::string>> & replacements)
+            const std::vector<std::pair<std::string, std::string>> & replacements,
+            bool use_ckpt)
         : common_speculative_state(type)
         , ctx_tgt(ctx_tgt)
         , ctx_dft(ctx_dft)
+        , use_ckpt(use_ckpt)
     {
         batch = llama_batch_init(llama_n_batch(ctx_dft), 0, 1);
         smpl = nullptr;
@@ -217,8 +247,39 @@ struct common_speculative_state_draft : public common_speculative_state {
         llama_batch_free(batch);
     }
 
-    void begin(const llama_tokens & prompt) override {
-        GGML_UNUSED(prompt);
+    void begin(const llama_tokens & /*prompt*/) override {
+    }
+
+    size_t create_checkpoint(int n_tokens_prompt) {
+        int slot_id = 0;
+        const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx_dft, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+
+        ckpt.pos_min  = llama_memory_seq_pos_min(llama_get_memory(ctx_dft), slot_id);
+        ckpt.pos_max  = llama_memory_seq_pos_max(llama_get_memory(ctx_dft), slot_id);
+        ckpt.n_tokens = n_tokens_prompt;
+        ckpt.data.resize(checkpoint_size);
+
+        const size_t n = llama_state_seq_get_data_ext(ctx_dft, ckpt.data.data(), checkpoint_size, slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+        if (n != checkpoint_size) {
+            GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n);
+        }
+
+        LOG_DBG("%s: pos_min = %d, pos_max = %d, size = %.3f MiB\n", __func__,
+                ckpt.pos_min, ckpt.pos_max, (float) ckpt.data.size() / 1024 / 1024);
+        return n;
+    }
+
+    size_t restore_checkpoint() {
+        int slot_id = 0;
+        LOG_DBG("%s: pos_min = %d, pos_max = %d\n", __func__, ckpt.pos_min, ckpt.pos_max);
+        const size_t n = llama_state_seq_set_data_ext(ctx_dft, ckpt.data.data(), ckpt.size(), slot_id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+        if (n != ckpt.size()) {
+            GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu",
+                        __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size());
+        }
+        llama_memory_seq_rm(llama_get_memory(ctx_dft), slot_id, ckpt.pos_max + 1, -1);
+
+        return n;
     }
 
     void draft(
@@ -226,6 +287,8 @@ struct common_speculative_state_draft : public common_speculative_state {
             const llama_tokens & prompt_tgt,
             llama_token id_last,
             llama_tokens & result) override {
+        const auto & sparams = params.draft;
+
         auto * spec = this;
 
         auto & batch      = spec->batch;
@@ -236,10 +299,10 @@ struct common_speculative_state_draft : public common_speculative_state {
 
         auto * mem_dft = llama_get_memory(ctx_dft);
 
-        int reuse_i = 0;
-        int reuse_n = 0;
+        int reuse_i = 0; // index of part to be reused in prompt_dft
+        int reuse_n = 0; // length of part to be reused in prompt_dft
 
-        const int n_ctx = llama_n_ctx(ctx_dft) - params.n_max;
+        const int n_ctx = llama_n_ctx(ctx_dft) - sparams.n_max;
 
         llama_tokens prompt_cnv;
         if (!spec->vocab_cmpt) {
@@ -271,13 +334,18 @@ struct common_speculative_state_draft : public common_speculative_state {
 
         const int i_start = std::max<int>(0, (int) prompt_cur.size() - n_ctx);
 
+        if (use_ckpt && i_start > 0) {
+            LOG_WRN("%s: context shift is not supported with checkpoint-based contexts - skipping\n", __func__);
+            return;
+        }
+
         // reuse as much as possible from the old draft context
         // ideally, the draft context should be as big as the target context and we will always reuse the entire prompt
         for (int i = 0; i < (int) prompt_dft.size(); ++i) {
             int cur = 0;
             while (i_start + cur < (int) prompt_cur.size() &&
-                    i       + cur < (int) prompt_dft.size() &&
-                    prompt_cur[i_start + cur] == prompt_dft[i + cur]) {
+                   i       + cur < (int) prompt_dft.size() &&
+                   prompt_cur[i_start + cur] == prompt_dft[i + cur]) {
                 cur++;
             }
 
@@ -285,24 +353,37 @@ struct common_speculative_state_draft : public common_speculative_state {
                 reuse_i = i;
                 reuse_n = cur;
             }
+
+            if (use_ckpt) {
+                break;
+            }
         }
 
-        LOG_DBG("%s: reuse_i = %d, reuse_n = %d, prompt = %d\n", __func__, reuse_i, reuse_n, (int) prompt_dft.size());
+        LOG_DBG("%s: reuse_i = %d, reuse_n = %d, #prompt_dft = %zu, #prompt_cur = %zu\n",
+                __func__, reuse_i, reuse_n, prompt_dft.size(), prompt_cur.size());
+        if (use_ckpt && ckpt.n_tokens > reuse_n) {
+            LOG_DBG("%s: checkpoint (n_tokens = %d) is outdated -> delete it\n", __func__, (int) ckpt.n_tokens);
+
+            reuse_i = 0;
+            reuse_n = 0;
+
+            ckpt = {};
+        }
 
         result.clear();
-        result.reserve(params.n_max);
+        result.reserve(sparams.n_max);
 
-        if (reuse_n == 0) {
+        if (reuse_n == 0 || (use_ckpt && reuse_i > 0)) {
             llama_memory_clear(mem_dft, false);
             prompt_dft.clear();
         } else {
             // this happens when a previous draft has been discarded (for example, due to being too small), but the
             // target model agreed with it. in this case, we simply pass back the previous results to save compute
-            if (reuse_i + reuse_n < (int) prompt_dft.size() && prompt_dft[reuse_i + reuse_n] == id_last) {
+            if (reuse_i + reuse_n < (int64_t) prompt_dft.size() && prompt_dft[reuse_i + reuse_n] == id_last) {
                 for (int i = reuse_i + reuse_n + 1; i < (int) prompt_dft.size(); ++i) {
                     result.push_back(prompt_dft[i]);
 
-                    if (params.n_max <= (int) result.size()) {
+                    if (sparams.n_max <= (int) result.size()) {
                         break;
                     }
                 }
@@ -311,15 +392,34 @@ struct common_speculative_state_draft : public common_speculative_state {
             }
 
             if (reuse_i > 0) {
-                llama_memory_seq_rm (mem_dft, 0, 0, reuse_i);
+                GGML_ASSERT(!use_ckpt);
+
+                bool is_removed = llama_memory_seq_rm (mem_dft, 0, 0, reuse_i);
+                if (!is_removed) {
+                    LOG_ERR("%s: llama_memory_seq_rm failed, reuse_i=%d\n", __func__, reuse_i);
+                    return;
+                }
                 llama_memory_seq_add(mem_dft, 0, reuse_i, -1, -reuse_i);
 
                 prompt_dft.erase(prompt_dft.begin(), prompt_dft.begin() + reuse_i);
             }
 
             if (reuse_n < (int) prompt_dft.size()) {
-                llama_memory_seq_rm (mem_dft, 0, reuse_n, -1);
-                prompt_dft.erase(prompt_dft.begin() + reuse_n, prompt_dft.end());
+                if (use_ckpt) {
+                    if (ckpt.n_tokens > 0) {
+                        LOG_DBG("%s: restoring checkpoint, reuse_n=%d, prompt_dft.size=%zu\n", __func__, reuse_n, prompt_dft.size());
+                        restore_checkpoint();
+                        reuse_n = ckpt.n_tokens;
+                        prompt_dft.resize(reuse_n);
+                    }
+                } else {
+                    const bool is_removed = llama_memory_seq_rm(mem_dft, 0, reuse_n, -1);
+                    if (!is_removed) {
+                        LOG_ERR("%s: llama_memory_seq_rm failed, reuse_n=%d, prompt_dft.size=%zu\n", __func__, reuse_n, prompt_dft.size());
+                        return;
+                    }
+                    prompt_dft.erase(prompt_dft.begin() + reuse_n, prompt_dft.end());
+                }
             }
         }
 
@@ -336,8 +436,17 @@ struct common_speculative_state_draft : public common_speculative_state {
         // we should rarely end-up here during normal decoding
         if (batch.n_tokens > 0) {
             //LOG_DBG("%s: draft prompt batch: %s\n", __func__, string_from(ctx, batch).c_str());
+            LOG_DBG("%s: draft prompt batch: %d tokens\n", __func__, batch.n_tokens);
+
+            int ret = llama_decode(ctx_dft, batch);
+            if (ret != 0 && ret != 1) {
+                LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu\n",
+                        __func__, ret, prompt_cur.size());
+            }
 
-            llama_decode(ctx_dft, batch);
+            if (use_ckpt) {
+                create_checkpoint(prompt_dft.size());
+            }
         }
 
         const llama_pos n_past = prompt_dft.size();
@@ -349,14 +458,18 @@ struct common_speculative_state_draft : public common_speculative_state {
 
         prompt_dft.push_back(id_last);
 
-        LOG_DBG("%s: draft prompt: %s\n", __func__, string_from(ctx_dft, prompt_dft).c_str());
+        //LOG_DBG("%s: draft prompt: %s\n", __func__, string_from(ctx_dft, prompt_dft).c_str());
 
-        llama_decode(ctx_dft, batch);
+        int ret = llama_decode(ctx_dft, batch);
+        if (ret != 0 && ret != 1) {
+            LOG_WRN("%s: llama_decode returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n",
+                    __func__, ret, prompt_cur.size(), prompt_dft.size());
+        }
 
         common_sampler_reset(smpl);
 
         // sample n_draft tokens from the draft model
-        for (int i = 0; i < params.n_max; ++i) {
+        for (int i = 0; i < sparams.n_max; ++i) {
             common_batch_clear(batch);
 
             common_sampler_sample(smpl, ctx_dft, 0, true);
@@ -373,21 +486,25 @@ struct common_speculative_state_draft : public common_speculative_state {
 
             common_sampler_accept(smpl, id, true);
 
-            result.push_back(id);
-
-            if (params.n_max <= (int) result.size()) {
+            // only collect very high-confidence draft tokens
+            if (cur_p->data[0].p < sparams.p_min) {
                 break;
             }
 
-            // only collect very high-confidence draft tokens
-            if (cur_p->data[0].p < params.p_min) {
+            result.push_back(id);
+
+            if (sparams.n_max <= (int) result.size()) {
                 break;
             }
 
             common_batch_add(batch, id, n_past + i + 1, { 0 }, true);
 
             // evaluate the drafted tokens on the draft model
-            llama_decode(ctx_dft, batch);
+            ret = llama_decode(ctx_dft, batch);
+            if (ret != 0) {
+                LOG_WRN("%s: llama_decode[%d] returned %d, prompt_cur.size=%zu, prompt_dft.size=%zu\n",
+                        __func__, i, ret, prompt_cur.size(), prompt_dft.size());
+            }
 
             prompt_dft.push_back(id);
         }
@@ -397,10 +514,14 @@ struct common_speculative_state_draft : public common_speculative_state {
             detokenized = replace_to_tgt(detokenized);
             LOG_DBG("draft->main detokenized string: '%s'\n", detokenized.c_str());
             result = common_tokenize(ctx_tgt, detokenized, false, true);
-            if (result.size() > (size_t)params.n_max) {
-                result.resize(params.n_max);
+            if (result.size() > (size_t) sparams.n_max) {
+                result.resize(sparams.n_max);
             }
         }
+
+        if (result.size() < (size_t) sparams.n_min) {
+            result.clear();
+        }
     }
 
     void accept(uint16_t n_accepted) override {
@@ -408,6 +529,14 @@ struct common_speculative_state_draft : public common_speculative_state {
         GGML_UNUSED(n_accepted);
     }
 
+    int32_t n_max(const common_params_speculative & params) const override {
+        return params.draft.n_max;
+    }
+
+    int32_t n_min(const common_params_speculative & params) const override {
+        return params.draft.n_min;
+    }
+
     std::string replace_to_dft(const std::string & input) const {
         std::string result = input;
 
@@ -460,6 +589,14 @@ struct common_speculative_state_eagle3 : public common_speculative_state {
         // noop
         GGML_UNUSED(n_accepted);
     }
+
+    int32_t n_max(const common_params_speculative & params) const override {
+        return params.draft.n_max;
+    }
+
+    int32_t n_min(const common_params_speculative & params) const override {
+        return params.draft.n_min;
+    }
 };
 
 // state of self-speculation (simple implementation, not ngram-map)
@@ -489,19 +626,27 @@ struct common_speculative_state_ngram_simple : public common_speculative_state {
         // noop
         GGML_UNUSED(n_accepted);
     }
+
+    int32_t n_max(const common_params_speculative & /*params*/) const override {
+        return config.size_mgram;
+    }
+
+    int32_t n_min(const common_params_speculative & /*params*/) const override {
+        return config.size_mgram;
+    }
 };
 
 struct common_speculative_state_ngram_map_k : public common_speculative_state {
     // draft ngram map for speculative decoding without draft model
-    common_ngram_map map;
+    common_ngram_map config;
 
     common_speculative_state_ngram_map_k(
             enum common_speculative_type type,
-            common_ngram_map map)
-        : common_speculative_state(type), map(std::move(map)) {}
+            common_ngram_map config)
+        : common_speculative_state(type), config(std::move(config)) {}
 
     void begin(const llama_tokens & prompt) override {
-        common_ngram_map_begin(map, prompt);
+        common_ngram_map_begin(config, prompt);
     }
 
     void draft(
@@ -509,12 +654,20 @@ struct common_speculative_state_ngram_map_k : public common_speculative_state {
             const llama_tokens & prompt_tgt,
             llama_token id_last,
             llama_tokens & result) override {
-        common_ngram_map_draft(map, prompt_tgt, id_last, result);
+        common_ngram_map_draft(config, prompt_tgt, id_last, result);
         GGML_UNUSED(params);
     }
 
     void accept(uint16_t n_accepted) override {
-        common_ngram_map_accept(map, n_accepted);
+        common_ngram_map_accept(config, n_accepted);
+    }
+
+    int32_t n_max(const common_params_speculative & /*params*/) const override {
+        return config.size_value;
+    }
+
+    int32_t n_min(const common_params_speculative & /*params*/) const override {
+        return config.size_value;
     }
 };
 
@@ -571,7 +724,7 @@ struct common_speculative_state_ngram_mod : public common_speculative_state {
             const llama_tokens & prompt_tgt,
             llama_token id_last,
             llama_tokens & result) override {
-        GGML_UNUSED(params);
+        const auto & sparams = params.ngram_mod;
 
         n_draft_last = 0;
 
@@ -591,16 +744,16 @@ struct common_speculative_state_ngram_mod : public common_speculative_state {
             i_last = cur_len - n;
         }
 
-        result.resize(n + params.n_max);
+        result.resize(n + sparams.n_max);
         for (size_t i = 0; i < n - 1; ++i) {
             result[i] = prompt_tgt[cur_len - n + 1 + i];
         }
         result[n - 1] = id_last;
 
-        for (int i = 0; i < params.n_max; ++i) {
+        for (int i = 0; i < sparams.n_max; ++i) {
             const llama_token token = mod.get(result.data() + i);
             if (token == common_ngram_mod::EMPTY) {
-                if (i < params.n_min) {
+                if (i < sparams.n_min) {
                     result.clear();
                     return;
                 }
@@ -622,26 +775,33 @@ struct common_speculative_state_ngram_mod : public common_speculative_state {
     }
 
     void accept(uint16_t n_accepted) override {
-        if (verbose) {
-            LOG_INF("%s: accepted %d tokens from %zu drafted tokens\n", __func__, n_accepted, n_draft_last);
-        }
-
         // compute acceptance fraction if we have a recorded draft length
         if (n_draft_last > 0) {
             const double f_acc = (double)n_accepted / (double)n_draft_last;
             if (f_acc < 0.5) {
                 n_low++;
                 if (n_low >= 3) {
-                    LOG_WRN("%s: low acceptance streak (%d) – resetting ngram_mod\n", __func__, n_low);
+                    if (verbose) {
+                        LOG_WRN("%s: low acceptance streak (%d) – resetting ngram_mod\n", __func__, n_low);
+                    }
 
                     mod.reset();
                     n_low = 0;
+                    i_last = 0;
                 }
             } else {
                 n_low = 0;
             }
         }
     }
+
+    int32_t n_max(const common_params_speculative & params) const override {
+        return params.ngram_mod.n_max;
+    }
+
+    int32_t n_min(const common_params_speculative & params) const override {
+        return params.ngram_mod.n_min;
+    }
 };
 
 struct common_speculative_state_ngram_cache : public common_speculative_state {
@@ -735,18 +895,29 @@ struct common_speculative_state_ngram_cache : public common_speculative_state {
         // TODO: noop
         GGML_UNUSED(n_accepted);
     }
+
+    int32_t n_max(const common_params_speculative & /*params*/) const override {
+        return n_draft;
+    }
+
+    int32_t n_min(const common_params_speculative & /*params*/) const override {
+        return 0;
+    }
 };
 
 struct common_speculative {
     std::vector<std::unique_ptr<common_speculative_state>> impls; // list of implementations to use and their states
+
     common_speculative_state * curr_impl = nullptr; // current implementation in use (for stats)
 };
 
-static common_ngram_map get_common_ngram_map(const common_speculative_config & config) {
-    uint16_t size_key   = config.params.ngram_size_n;
-    uint16_t size_value = config.params.ngram_size_m;
-    bool     key_only   = (config.type == COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K);
-    uint16_t min_hits   = config.params.ngram_min_hits;
+static common_ngram_map get_common_ngram_map(
+        common_speculative_type type,
+        const common_params_speculative_ngram_map & config) {
+    uint16_t size_key   = config.size_n;
+    uint16_t size_value = config.size_m;
+    bool     key_only   = type == COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K;
+    uint16_t min_hits   = config.min_hits;
 
     return common_ngram_map(size_key, size_value, key_only, min_hits);
 }
@@ -798,50 +969,14 @@ enum common_speculative_type common_speculative_type_from_name(const std::string
     return it->second;
 }
 
-bool common_speculative_is_compat(llama_context * ctx_tgt) {
-    auto * mem = llama_get_memory(ctx_tgt);
-    if (mem == nullptr) {
-        return false;
-    }
-
-    bool res = true;
-
-    llama_memory_clear(mem, true);
-
-    // eval 2 tokens to check if the context is compatible
-    std::vector<llama_token> tmp;
-    tmp.push_back(0);
-    tmp.push_back(0);
-
-    int ret = llama_decode(ctx_tgt, llama_batch_get_one(tmp.data(), tmp.size()));
-    if (ret != 0) {
-        LOG_ERR("%s: llama_decode() failed: %d\n", __func__, ret);
-        res = false;
-        goto done;
-    }
-
-    // try to remove the last tokens
-    if (!llama_memory_seq_rm(mem, 0, 1, -1)) {
-        LOG_WRN("%s: the target context does not support partial sequence removal\n", __func__);
-        res = false;
-        goto done;
-    }
-
-done:
-    llama_memory_clear(mem, true);
-    llama_synchronize(ctx_tgt);
-
-    return res;
-}
-
 // initialization of the speculative decoding system
 //
 common_speculative * common_speculative_init(
         common_params_speculative & params,
         llama_context             * ctx_tgt) {
     llama_context * ctx_dft = nullptr;
-    if (params.model_dft) {
-        ctx_dft = llama_init_from_model(params.model_dft, params.cparams_dft);
+    if (params.draft.model) {
+        ctx_dft = llama_init_from_model(params.draft.model, params.draft.cparams);
         if (ctx_dft == nullptr) {
             LOG_ERR("%s", "failed to create draft context\n");
             return nullptr;
@@ -851,7 +986,7 @@ common_speculative * common_speculative_init(
     // Compute the implementations to use based on the config and their order of preference
     std::vector<common_speculative_config> configs = {}; // list of speculative configs to try
     {
-        bool has_draft = !params.mparams_dft.path.empty();
+        bool has_draft = !params.draft.mparams.path.empty();
         bool has_draft_eagle3 = false; // TODO PR-18039: if params.speculative.eagle3
 
         bool has_ngram_cache   = (params.type == COMMON_SPECULATIVE_TYPE_NGRAM_CACHE);
@@ -874,16 +1009,17 @@ common_speculative * common_speculative_init(
             configs.push_back(common_speculative_config(COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V, params));
         }
         if (has_ngram_mod) {
-            // shared instance for all speculative decoding contexts
-            if (!params.ngram_mod) {
-                params.ngram_mod = std::make_shared<common_ngram_mod>(params.ngram_size_n, 4*1024*1024);
+            auto & sparams = params.ngram_mod;
 
-                LOG_INF("%s: initialized ngram_mod with n=%d, size=%zu (%.3f MB)\n", __func__,
-                        params.ngram_size_n, params.ngram_mod->size(),
-                        (float)(params.ngram_mod->size_bytes())/1024/1024);
+            if (!sparams.obj) {
+                sparams.obj = std::make_shared<common_ngram_mod>(sparams.n_match, 4*1024*1024);
 
-                if (params.ngram_size_n < 16) {
-                    LOG_WRN("%s: ngram_mod n=%d is too small - poor quality is possible, see: https://github.com/ggml-org/llama.cpp/pull/19164\n", __func__, params.ngram_size_n);
+                LOG_INF("%s: initialized ngram_mod with n_match=%d, size=%zu (%.3f MB)\n", __func__,
+                        sparams.n_match, sparams.obj->size(), (float)(sparams.obj->size_bytes())/1024/1024);
+
+                if (sparams.n_match < 16) {
+                    LOG_WRN("%s: ngram_mod n_match=%d is too small - poor quality is possible, "
+                            "see: https://github.com/ggml-org/llama.cpp/pull/19164\n", __func__, sparams.n_match);
                 }
             }
 
@@ -908,10 +1044,13 @@ common_speculative * common_speculative_init(
             case COMMON_SPECULATIVE_TYPE_NONE:
                 break;
             case COMMON_SPECULATIVE_TYPE_DRAFT: {
+                const bool use_ckpt = common_context_can_seq_rm(ctx_dft) == COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
+
                 impls.push_back(std::make_unique<common_speculative_state_draft>(config.type,
                     /* .ctx_tgt      = */ ctx_tgt,
                     /* .ctx_dft      = */ ctx_dft,
-                    /* .replacements = */ params.replacements
+                    /* .replacements = */ params.draft.replacements,
+                    /* .use_ckpt     = */ use_ckpt
                 ));
                 break;
             }
@@ -920,18 +1059,18 @@ common_speculative * common_speculative_init(
                 break;
             }
             case COMMON_SPECULATIVE_TYPE_NGRAM_SIMPLE: {
-                common_ngram_map ngram_map = get_common_ngram_map(config);
+                common_ngram_map ngram_map = get_common_ngram_map(config.type, config.params.ngram_simple);
 
                 uint16_t ngram_size_key   = ngram_map.size_key;
                 uint16_t mgram_size_value = ngram_map.size_value;
 
                 auto config_simple = common_ngram_simple_config {
-                    /* .size_ngram      = */ ngram_size_key,
-                    /* .size_mgram      = */ mgram_size_value
+                    /* .size_ngram = */ ngram_size_key,
+                    /* .size_mgram = */ mgram_size_value
                 };
                 auto state = std::make_unique<common_speculative_state_ngram_simple>(
-                    /* .type            = */ config.type,
-                    /* .state           = */ config_simple
+                    /* .type  = */ config.type,
+                    /* .state = */ config_simple
                 );
                 impls.push_back(std::move(state));
                 break;
@@ -940,18 +1079,17 @@ common_speculative * common_speculative_init(
             case COMMON_SPECULATIVE_TYPE_NGRAM_MAP_K4V: {
                 impls.push_back(std::make_unique<common_speculative_state_ngram_map_k>(
                     (config.type),
-                    get_common_ngram_map(config)
+                    get_common_ngram_map(config.type, config.params.ngram_map_k)
                 ));
                 break;
             }
             case COMMON_SPECULATIVE_TYPE_NGRAM_MOD: {
-                GGML_ASSERT(config.params.ngram_mod);
-                impls.push_back(std::make_unique<common_speculative_state_ngram_mod>(config.type, *config.params.ngram_mod));
+                GGML_ASSERT(config.params.ngram_mod.obj);
+                impls.push_back(std::make_unique<common_speculative_state_ngram_mod>(config.type, *config.params.ngram_mod.obj));
                 break;
             }
             case COMMON_SPECULATIVE_TYPE_NGRAM_CACHE: {
-                auto state = create_state_ngram_cache(
-                        params.lookup_cache_static, params.lookup_cache_dynamic, config);
+                auto state = create_state_ngram_cache(params.ngram_cache.lookup_cache_static, params.ngram_cache.lookup_cache_dynamic, config);
                 impls.push_back(std::make_unique<common_speculative_state_ngram_cache>(state));
                 break;
             }
@@ -966,7 +1104,8 @@ common_speculative * common_speculative_init(
     }
 
     auto * result = new common_speculative {
-        /* .impls = */ std::move(impls)
+        /* .impls     = */ std::move(impls),
+        /* .curr_impl = */ nullptr,
     };
 
     return result;
@@ -1008,6 +1147,15 @@ llama_tokens common_speculative_draft(
             impl->n_call_draft++;
         }
 
+        {
+            const int n_min = impl->n_min(params);
+
+            if (!result.empty() && (int) result.size() < n_min) {
+                LOG_DBG("%s: ignoring small draft: %d < %d\n", __func__, (int) result.size(), n_min);
+                result.clear();
+            }
+        }
+
         if (!result.empty()) {
             LOG_DBG("%s: called impl %s, hist size = %zu, call_count = %zu, gen = %zu\n", __func__,
                     common_speculative_type_to_str(impl.get()->type).c_str(), prompt_tgt.size(),
@@ -1017,7 +1165,7 @@ llama_tokens common_speculative_draft(
             impl->n_gen_drafts++;
             impl->n_gen_tokens += result.size();
 
-            break; // We have a draft, so break out of the loop and return it.
+            break; // we have a draft, so break out of the loop and return it.
         }
     }
 
@@ -1045,6 +1193,32 @@ void common_speculative_accept(common_speculative * spec, uint16_t n_accepted) {
     }
 }
 
+int32_t common_speculative_n_max(const common_speculative * spec, const common_params_speculative & params) {
+    if (spec == nullptr) {
+        return 0;
+    }
+
+    int32_t n_max = 0;
+    for (const auto & impl : spec->impls) {
+        n_max = std::max(n_max, impl->n_max(params));
+    }
+
+    return n_max;
+}
+
+int32_t common_speculative_n_min(const common_speculative * spec, const common_params_speculative & params) {
+    if (spec == nullptr) {
+        return 0;
+    }
+
+    int32_t n_min = 0;
+    for (const auto & impl : spec->impls) {
+        n_min = std::max(n_min, impl->n_min(params));
+    }
+
+    return n_min;
+}
+
 void common_speculative_print_stats(const common_speculative * spec) {
     if (spec == nullptr) {
         return;
diff --git a/common/speculative.h b/common/speculative.h
index 876cde3d1..147447631 100644
--- a/common/speculative.h
+++ b/common/speculative.h
@@ -14,10 +14,6 @@ enum common_speculative_type common_speculative_type_from_name(const std::string
 // convert type to string
 std::string common_speculative_type_to_str(enum common_speculative_type type);
 
-// check if the llama_context is compatible for speculative decoding
-// note: clears the memory of the context
-bool common_speculative_is_compat(llama_context * ctx_tgt);
-
 common_speculative * common_speculative_init(
         common_params_speculative & params,
         llama_context             * ctx_tgt);
@@ -37,5 +33,14 @@ llama_tokens common_speculative_draft(
 // informs the speculative decoder that n_accepted tokens were accepted by the target model
 void common_speculative_accept(common_speculative * spec, uint16_t n_accepted);
 
+int32_t common_speculative_n_max(const common_speculative * spec, const common_params_speculative & params);
+int32_t common_speculative_n_min(const common_speculative * spec, const common_params_speculative & params);
+
 // print statistics about the speculative decoding
 void common_speculative_print_stats(const common_speculative * spec);
+
+struct common_speculative_deleter {
+    void operator()(common_speculative * s) { common_speculative_free(s); }
+};
+
+typedef std::unique_ptr<common_speculative, common_speculative_deleter> common_speculative_ptr;
diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py
index 09f6e7ae2..fb1f5dd44 100755
--- a/convert_hf_to_gguf.py
+++ b/convert_hf_to_gguf.py
@@ -196,7 +196,10 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
             logger.info(f"Using remote model with HuggingFace id: {remote_hf_model_id}")
             remote_tensors = gguf.utility.SafetensorRemote.get_list_tensors_hf_model(remote_hf_model_id)
             for name, remote_tensor in remote_tensors.items():
-                tensors[name] = lambda r=remote_tensor: LazyTorchTensor.from_remote_tensor(r)
+                data_gen = lambda r=remote_tensor: LazyTorchTensor.from_remote_tensor(r)  # noqa: E731
+                if titem := self.filter_tensors((name, data_gen)):
+                    tname, tgen = titem
+                    tensors[tname] = tgen
 
             return tensors
 
@@ -207,6 +210,7 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
             part_names = ModelBase.get_model_part_names(self.dir_model, "pytorch_model", ".bin")
 
         tensor_names_from_index: set[str] = set()
+        tensor_names_from_parts: set[str] = set()
 
         if not self.is_mistral_format:
             index_name = "model.safetensors" if is_safetensors else "pytorch_model.bin"
@@ -240,6 +244,7 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
                 assert model_part is not None
 
                 for name in model_part.keys():
+                    tensor_names_from_parts.add(name)
                     if is_safetensors:
                         data: gguf.utility.LocalTensor = model_part[name]
                         if self.lazy:
@@ -253,11 +258,12 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
                             data_gen = lambda data=data_torch: LazyTorchTensor.from_eager(data)  # noqa: E731
                         else:
                             data_gen = lambda data=data_torch: data  # noqa: E731
-                    tensors[name] = data_gen
+                    if titem := self.filter_tensors((name, data_gen)):
+                        tname, tgen = titem
+                        tensors[tname] = tgen
 
         # verify tensor name presence and identify potentially missing files
         if len(tensor_names_from_index) > 0:
-            tensor_names_from_parts = set(tensors.keys())
             if len(tensor_names_from_parts.symmetric_difference(tensor_names_from_index)) > 0:
                 missing = sorted(tensor_names_from_index.difference(tensor_names_from_parts))
                 extra = sorted(tensor_names_from_parts.difference(tensor_names_from_index))
@@ -272,6 +278,22 @@ def index_tensors(self, remote_hf_model_id: str | None = None) -> dict[str, Call
 
         return tensors
 
+    @staticmethod
+    def _scale_is_trivial(scale: Tensor) -> bool:
+        return scale.numel() <= 1 and abs(float(scale.float().sum()) - 1.0) < 1e-6
+
+    def _write_scale_tensor(self, scale_name: str, scale: Tensor):
+        if not self._scale_is_trivial(scale):
+            scale_f32 = scale.float().numpy().flatten()
+            logger.info(f"  + {scale_name} (per-tensor scale, shape [{scale_f32.size}])")
+            self.gguf_writer.add_tensor(scale_name, scale_f32)
+
+    def _write_scales_tensor(self, scale_name: str, scales: list[float]):
+        if not np.allclose(scales, 1.0, atol=1e-6):
+            scale_vals = np.array(scales, dtype=np.float32)
+            logger.info(f"  + {scale_name} (per-expert scale, shape [{len(scales)}])")
+            self.gguf_writer.add_tensor(scale_name, scale_vals)
+
     def dequant_model(self):
         # If all quantized tensors were already handled (e.g. pure NVFP4), skip
         if self._is_nvfp4 and not any(k.endswith((".weight_scale", ".weight_scale_inv")) for k in self.model_tensors):
@@ -494,7 +516,7 @@ def dequant_packed(w: Tensor, scale: Tensor, shape_tensor: Tensor, zero_point: T
                         s = self.model_tensors[name]
                         self.model_tensors[weight_name] = lambda w=w, s=s: dequant_simple(w(), s(), None)
                         tensors_to_remove.append(name)
-                    if name.endswith((".k_scale", ".v_scale")):
+                    if name.endswith((".input_scale", ".k_scale", ".v_scale")):
                         tensors_to_remove.append(name)
             elif quant_method is not None:
                 raise NotImplementedError(f"Quant method is not yet supported: {quant_method!r}")
@@ -506,6 +528,18 @@ def dequant_packed(w: Tensor, scale: Tensor, shape_tensor: Tensor, zero_point: T
         for name, value in new_tensors.items():
             self.model_tensors[name] = value
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.endswith("e_score_correction_bias"):
+            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
+
+        if "language_model." in name:
+            name = name.replace("language_model.", "")
+
+        return name, gen
+
     def get_tensors(self) -> Iterator[tuple[str, Tensor]]:
         for name, gen in self.model_tensors.items():
             yield name, gen()
@@ -602,33 +636,15 @@ def _nvfp4_pack(weight: Tensor, scale: Tensor) -> tuple[np.ndarray, list[int]]:
         raw = np.concatenate([d_grouped, qs_grouped], axis=-1).reshape(out_features, n_super * 36)
         return raw, [out_features, n_super * 64]
 
-    @staticmethod
-    def _nvfp4_scale2_is_trivial(scale2: Tensor) -> bool:
-        return scale2.numel() <= 1 and abs(float(scale2.float().sum()) - 1.0) < 1e-6
-
     def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor):
-        if "language_model." in name:
-            name = name.replace("language_model.", "")
-
         new_name = self.map_tensor_name(name)
 
         raw, shape = self._nvfp4_pack(weight, scale)
         logger.info(f"Repacked {new_name} with shape {shape} and quantization NVFP4")
         self.gguf_writer.add_tensor(new_name, raw, raw_dtype=gguf.GGMLQuantizationType.NVFP4)
 
-        # Emit per-tensor scale2 as a separate F32 tensor when non-trivial
-        if not self._nvfp4_scale2_is_trivial(scale2):
-            scale2_f32 = scale2.float().numpy().flatten()
-            scale_name = new_name.replace(".weight", ".scale")
-            logger.info(f"  + {scale_name} (per-tensor NVFP4 scale2, shape [{scale2_f32.size}])")
-            self.gguf_writer.add_tensor(scale_name, scale2_f32)
-
-        # Emit per-tensor input_scale as a separate F32 tensor when non-trivial
-        if not self._nvfp4_scale2_is_trivial(input_scale):
-            input_scale_f32 = input_scale.float().numpy().flatten()
-            input_scale_name = new_name.replace(".weight", ".input_scale")
-            logger.info(f"  + {input_scale_name} (per-tensor NVFP4 input_scale, shape [{input_scale_f32.size}])")
-            self.gguf_writer.add_tensor(input_scale_name, input_scale_f32)
+        self._write_scale_tensor(new_name.replace(".weight", ".scale"), scale2)
+        self._write_scale_tensor(new_name.replace(".weight", ".input_scale"), input_scale)
 
     def _generate_nvfp4_tensors(self):
         # Per-layer expert merging to avoid holding all experts in memory
@@ -639,7 +655,7 @@ def _generate_nvfp4_tensors(self):
         n_experts = self.find_hparam(["num_local_experts", "num_experts"], optional=True) or 0
         consumed: list[str] = []
 
-        for name in list(self.model_tensors.keys()):
+        for name in self.model_tensors.keys():
             if not name.endswith(".weight"):
                 continue
             scale_name = name.replace(".weight", ".weight_scale")
@@ -694,7 +710,7 @@ def _generate_nvfp4_tensors(self):
                 self._repack_nvfp4(name, weight, scale, scale2, input_scale)
 
         # Flush any remaining experts (fallback if n_experts was unknown)
-        for (bid, proj_type) in list(expert_blocks.keys()):
+        for bid, proj_type in expert_blocks.keys():
             self._flush_nvfp4_experts((bid, proj_type), expert_blocks, expert_scales, expert_input_scales, expert_shapes, bid, proj_type)
 
         # Remove consumed tensors so get_tensors/modify_tensors won't see them
@@ -702,7 +718,7 @@ def _generate_nvfp4_tensors(self):
             self.model_tensors.pop(name, None)
 
         # Remove any remaining unused auxiliary tensors
-        for name in list(self.model_tensors.keys()):
+        for name in self.model_tensors.keys():
             if name.endswith((".k_scale", ".v_scale")):
                 del self.model_tensors[name]
 
@@ -719,21 +735,11 @@ def _flush_nvfp4_experts(self, key, expert_blocks, expert_scales, expert_input_s
         logger.info(f"Repacked {new_name} with shape [{len(experts)}, {shape[0]}, {shape[1]}] and quantization NVFP4")
         self.gguf_writer.add_tensor(new_name, merged, raw_dtype=gguf.GGMLQuantizationType.NVFP4)
 
-        # Emit per-expert scale2 tensor if any expert has non-trivial scale2
         scales.sort(key=lambda x: x[0])
-        scale_vals = np.array([s[1] for s in scales], dtype=np.float32)
-        if not np.allclose(scale_vals, 1.0, atol=1e-6):
-            scale_name = new_name.replace(".weight", ".scale")
-            logger.info(f"  + {scale_name} (per-expert NVFP4 scale2, shape [{len(scales)}])")
-            self.gguf_writer.add_tensor(scale_name, scale_vals)
+        self._write_scales_tensor(new_name.replace(".weight", ".scale"), [s[1] for s in scales])
 
-        # Emit per-expert input_scale tensor if any expert has non-trivial input_scale
         input_scales.sort(key=lambda x: x[0])
-        input_scale_vals = np.array([s[1] for s in input_scales], dtype=np.float32)
-        if not np.allclose(input_scale_vals, 1.0, atol=1e-6):
-            input_scale_name = new_name.replace(".weight", ".input_scale")
-            logger.info(f"  + {input_scale_name} (per-expert NVFP4 input_scale, shape [{len(input_scales)}])")
-            self.gguf_writer.add_tensor(input_scale_name, input_scale_vals)
+        self._write_scales_tensor(new_name.replace(".weight", ".input_scale"), [s[1] for s in input_scales])
 
         del experts, merged
 
@@ -746,7 +752,12 @@ def prepare_tensors(self):
 
         if (not quant_algo or not quant_layers) and quant_config_file.is_file():
             with open(quant_config_file, "r", encoding="utf-8") as f:
-                quant_config = json.load(f).get("quantization") or {}
+                hf_quant_config = json.load(f)
+                quant_config = hf_quant_config.get("quantization") or {}
+                producer = hf_quant_config.get("producer") or {}
+                producer_name = (producer.get("name") or "").lower()
+                if quant_method is None:
+                    self.hparams.setdefault("quantization_config", {})["quant_method"] = producer_name
                 quant_algo = quant_config.get("quant_algo", quant_algo)
                 quant_layers = quant_config.get("quantized_layers", quant_layers) or {}
 
@@ -1047,6 +1058,23 @@ def __init_subclass__(cls):
         if "model_arch" not in cls.__dict__:
             raise TypeError(f"Missing property 'model_arch' for {cls.__name__!r}")
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # Skip multimodal tensors
+        if name.startswith(("mlp", "vit.", "vpm.", "siglip2.", "conformer.", "merger.", "resampler.", "sound_encoder.", "sound_projection.", "speech_embeddings.")) \
+                or "visual." in name or "vision." in name or "audio." in name or "talker." in name \
+                or "vision_" in name or "audio_" in name or "sam_model" in name \
+                or "token2wav." in name or "code2wav." in name \
+                or "projector." in name or "pre_mm_projector_norm" in name \
+                or "image_newline" in name or "view_seperator" in name \
+                or "patch_embed" in name or "patch_embedding" in name \
+                or "patch_merger." in name or "model.connector." in name:
+            return None
+
+        return super().filter_tensors(item)
+
     def set_vocab(self):
         self._set_vocab_gpt2()
 
@@ -1229,15 +1257,15 @@ def get_vocab_base(self) -> tuple[list[str], list[int], str]:
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model)
-        vocab_size = self.hparams.get("vocab_size", len(tokenizer.vocab))
-        assert max(tokenizer.vocab.values()) < vocab_size
+        vocab_size = self.hparams.get("vocab_size", len(tokenizer.vocab))  # ty: ignore[unresolved-attribute]
+        assert max(tokenizer.vocab.values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
-        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
-        added_tokens_decoder = tokenizer.added_tokens_decoder
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -1250,7 +1278,7 @@ def get_vocab_base(self) -> tuple[list[str], list[int], str]:
                     # To avoid unexpected issues - we make sure to normalize non-normalized tokens
                     if not added_tokens_decoder[i].normalized:
                         previous_token = token
-                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
                         if previous_token != token:
                             logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
 
@@ -1332,6 +1360,9 @@ def get_vocab_base_pre(self, tokenizer) -> str:
         if chkhsh == "d4540891389ea895b53b399da6ac824becc30f2fba0e9ddbb98f92e55ca0e97c":
             # ref: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B
             res = "qwen2"
+        if chkhsh == "1444df51289cfa8063b96f0e62b1125440111bc79a52003ea14b6eac7016fd5f":
+            # ref: https://huggingface.co/openbmb/MiniCPM-V-4_6
+            res = "qwen35"
         if chkhsh == "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273":
             # ref: https://huggingface.co/alvarobartt/grok-2-tokenizer
             res = "grok-2"
@@ -1583,13 +1614,13 @@ def _set_vocab_qwen(self):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
         vocab_size = hparams["vocab_size"]
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         merges = []
         vocab = {}
-        mergeable_ranks = tokenizer.mergeable_ranks
+        mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
         for token, rank in mergeable_ranks.items():
             vocab[QwenModel.token_bytes_to_string(token)] = rank
             if len(token) == 1:
@@ -1599,7 +1630,7 @@ def _set_vocab_qwen(self):
             merges.append(' '.join(map(QwenModel.token_bytes_to_string, merged)))
 
         # for this kind of tokenizer, added_vocab is not a subset of vocab, so they need to be combined
-        added_vocab = tokenizer.special_tokens
+        added_vocab = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
         reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **added_vocab}.items()}
 
         for i in range(vocab_size):
@@ -1622,10 +1653,10 @@ def _set_vocab_qwen(self):
         special_vocab.merges = merges
         # only add special tokens when they were not already loaded from config.json
         if len(special_vocab.special_token_ids) == 0:
-            special_vocab._set_special_token("bos", tokenizer.special_tokens["<|endoftext|>"])
-            special_vocab._set_special_token("eos", tokenizer.special_tokens["<|endoftext|>"])
+            special_vocab._set_special_token("bos", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+            special_vocab._set_special_token("eos", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         # this one is usually not in config.json anyway
-        special_vocab._set_special_token("unk", tokenizer.special_tokens["<|endoftext|>"])
+        special_vocab._set_special_token("unk", tokenizer.special_tokens["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_sentencepiece(self, add_to_gguf=True):
@@ -1850,20 +1881,28 @@ def _try_set_pooling_type(self) -> None:
             with open(module_path, encoding="utf-8") as f:
                 modules = json.load(f)
             for mod in modules:
-                if mod["type"] == "sentence_transformers.models.Pooling":
+                if mod["type"].endswith("Pooling"):
                     pooling_path = mod["path"]
                     break
 
+        mode_mapping = {
+            "mean": gguf.PoolingType.MEAN,
+            "cls": gguf.PoolingType.CLS,
+            "lasttoken": gguf.PoolingType.LAST,
+        }
+
         # get pooling type
         if pooling_path is not None:
             with open(self.dir_model / pooling_path / "config.json", encoding="utf-8") as f:
                 pooling = json.load(f)
-            if pooling["pooling_mode_mean_tokens"]:
+            if pooling.get("pooling_mode_mean_tokens"):
                 pooling_type = gguf.PoolingType.MEAN
-            elif pooling["pooling_mode_cls_token"]:
+            elif pooling.get("pooling_mode_cls_token"):
                 pooling_type = gguf.PoolingType.CLS
-            elif pooling["pooling_mode_lasttoken"]:
+            elif pooling.get("pooling_mode_lasttoken"):
                 pooling_type = gguf.PoolingType.LAST
+            elif (pooling_mode := pooling.get("pooling_mode")) in mode_mapping:
+                pooling_type = mode_mapping[pooling_mode]
             else:
                 raise NotImplementedError("Only MEAN, CLS, and LAST pooling types supported")
             self.gguf_writer.add_pooling_type(pooling_type)
@@ -1877,10 +1916,10 @@ def _set_vocab_glmedge(self):
         self.gguf_writer.add_tokenizer_pre(tokpre)
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_glm(self):
@@ -1894,10 +1933,10 @@ def _set_vocab_glm(self):
         self.gguf_writer.add_token_types(toktypes)
         # Special tokens
         # Note: Using <|endoftext|> (151329) for eot causes endless generation
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # 151331
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # 151336
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"]) # 151329
-        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # 151338
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["[gMASK]"])  # ty: ignore[unresolved-attribute]  # 151331
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]  # 151336
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]  # 151329
+        special_vocab._set_special_token("eom", tokenizer.get_added_vocab()["<|observation|>"])  # ty: ignore[unresolved-attribute]  # 151338
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def _set_vocab_interns1(self):
@@ -1906,16 +1945,16 @@ def _set_vocab_interns1(self):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
-        vocab = getattr(tokenizer, 'vocab', tokenizer.get_vocab())
+        vocab = getattr(tokenizer, 'vocab', tokenizer.get_vocab())  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab))
         assert max(vocab.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
-        added_tokens_decoder = tokenizer.added_tokens_decoder
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -1928,7 +1967,7 @@ def _set_vocab_interns1(self):
                     # To avoid unexpected issues - we make sure to normalize non-normalized tokens
                     if not added_tokens_decoder[i].normalized:
                         previous_token = token
-                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
                         if previous_token != token:
                             logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
 
@@ -2186,6 +2225,16 @@ def __init__(self, *args, **kwargs):
                 # merge configs
                 self.preprocessor_config = {**self.preprocessor_config, **cfg}
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # Skip non-multimodal tensors
+        if "language_model." in name:
+            return None
+
+        return super().filter_tensors(item)
+
     def get_vision_config(self) -> dict[str, Any] | None:
         config_name = "vision_config" if not self.is_mistral_format else "vision_encoder"
         return self.global_config.get(config_name)
@@ -2219,10 +2268,10 @@ def set_gguf_parameters(self):
             self.image_size = self.find_vparam(["image_size"])
             self.gguf_writer.add_vision_image_size(self.image_size)
             self.gguf_writer.add_vision_patch_size(self.find_vparam(["patch_size"]))
-            self.gguf_writer.add_vision_embedding_length(self.find_vparam(["hidden_size", "vt_hidden_size"]))
+            self.gguf_writer.add_vision_embedding_length(self.find_vparam(["hidden_size", "width", "vt_hidden_size"]))
             self.gguf_writer.add_vision_feed_forward_length(self.find_vparam(["intermediate_size", "vt_intermediate_size"]))
             self.gguf_writer.add_vision_block_count(self.find_vparam(self.n_block_keys))
-            self.gguf_writer.add_vision_head_count(self.find_vparam(["num_attention_heads", "num_heads", "vt_num_attention_heads"]))
+            self.gguf_writer.add_vision_head_count(self.find_vparam(["num_attention_heads", "num_heads", "heads", "vt_num_attention_heads"]))
 
             # preprocessor config
             image_mean = _MISTRAL_COMMON_DATASET_MEAN if self.is_mistral_format else self.preprocessor_config["image_mean"]
@@ -2516,15 +2565,15 @@ def set_vocab(self):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model)
-        vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))
+        vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))  # ty: ignore[unresolved-attribute]
         # Since we are checking the maximum index, we need to ensure it's strictly less than vocab_size,
         # because vocab_size is the count of items, and indexes start at 0.
-        max_vocab_index = max(tokenizer.get_vocab().values())
+        max_vocab_index = max(tokenizer.get_vocab().values())  # ty: ignore[unresolved-attribute]
         if max_vocab_index >= vocab_size:
             raise ValueError("Vocabulary size exceeds expected maximum size.")
 
-        reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for token_id in range(vocab_size):
             token_text = reverse_vocab[token_id].encode('utf-8')
@@ -2535,7 +2584,7 @@ def set_vocab(self):
             elif re.fullmatch(br"<0x[0-9A-Fa-f]{2}>", token_text):
                 toktype = gguf.TokenType.BYTE  # special
             elif reverse_vocab[token_id] in added_vocab:
-                if tokenizer.added_tokens_decoder[token_id].special:
+                if tokenizer.added_tokens_decoder[token_id].special:  # ty: ignore[unresolved-attribute]
                     toktype = gguf.TokenType.CONTROL
                 else:
                     toktype = gguf.TokenType.USER_DEFINED
@@ -2878,38 +2927,37 @@ def permute(weights: Tensor, n_head: int, n_head_kv: int | None):
                 .swapaxes(1, 2)
                 .reshape(weights.shape))
 
+    def _repack_nvfp4(self, name: str, weight: Tensor, scale: Tensor, scale2: Tensor, input_scale: Tensor):
+        # Mirror the BF16 Q/K RoPE permutation site in modify_tensors; the NVFP4 path bypasses it.
+        if self.undo_permute:
+            n_head = self.find_hparam(["n_heads", "num_attention_heads"], optional=True)
+            n_kv_head = self.find_hparam(["n_kv_heads", "num_key_value_heads"], optional=True)
+            if n_head is not None:
+                if name.endswith("q_proj.weight"):
+                    weight = LlamaModel.permute(weight, n_head, n_head)
+                    scale  = LlamaModel.permute(scale, n_head, n_head)
+                elif name.endswith("k_proj.weight"):
+                    weight = LlamaModel.permute(weight, n_head, n_kv_head)
+                    scale  = LlamaModel.permute(scale, n_head, n_kv_head)
+        super()._repack_nvfp4(name, weight, scale, scale2, input_scale)
+
     _experts: list[dict[str, Tensor]] | None = None
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if "text_model." in name:
+            name = name.replace("text_model.", "") # for SmolVLM
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.find_hparam(["n_heads", "num_attention_heads"])
         n_kv_head = self.find_hparam(["n_kv_heads", "num_key_value_heads"])
 
-        vision_prefixes = [
-            "vision_encoder.",
-            "vision_language_adapter.",
-            "patch_merger.",
-            "pre_mm_projector_norm",
-            "audio_encoder.",
-        ]
-
-        is_multimodal_tensor = "vision_tower" in name \
-            or "vision_model" in name \
-            or "audio_tower" in name \
-            or "model.connector" in name \
-            or "multi_modal_projector" in name \
-            or any(
-                name.startswith(prefix)
-                for prefix in vision_prefixes
-            )
-
-        if is_multimodal_tensor:
-            return  # skip vision tensors
-        elif self.hf_arch == "LlamaModel":
+        if self.hf_arch == "LlamaModel":
             name = "model." + name
-        elif name.startswith("model.text_model"):
-            name = name.replace("text_model.", "") # for SmolVLM
-        elif name.startswith("language_model."):
-            name = name.replace("language_model.", "") # for the rest
 
         if self.undo_permute:
             if name.endswith(("q_proj.weight", "q_proj.bias")):
@@ -3023,6 +3071,15 @@ def set_gguf_parameters(self):
         if (sliding_window := self.hparams.get("sliding_window")) is not None:
             self.gguf_writer.add_sliding_window(sliding_window)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.endswith(".expert_bias"):
+            name = name.replace(".expert_bias", ".expert_bias.bias")
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # Handle expert weights - they're already merged in the HF format
         # process the experts separately
@@ -3053,9 +3110,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             else:
                 return
 
-        if name.endswith(".expert_bias"):
-            name = name.replace(".expert_bias", ".expert_bias.bias")
-
         yield from ModelBase.modify_tensors(self, data_torch, name, bid)
 
 
@@ -3180,13 +3234,16 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         is_vision_tensor = "vision_tower" in name or "vision_model" in name or "model.connector" in name
 
-        if is_vision_tensor:
-            yield from super().modify_tensors(data_torch, name, bid)
+        if not is_vision_tensor:
+            return None
 
-        return # skip other tensors
+        return super().filter_tensors(item)
 
 
 @ModelBase.register(
@@ -3216,9 +3273,6 @@ def set_gguf_parameters(self):
                 self.gguf_writer.add_sliding_window(0)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
-        if name.startswith("language_model."):
-            name = name.replace("language_model.", "")
-
         # split the gate_up into gate and up
         if "gate_up_proj" in name:
             name_up = name.replace("gate_up_proj", "up_proj.weight")
@@ -3233,8 +3287,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
             name += ".weight"
             data_torch = data_torch.transpose(-1, -2)
 
-        if "multi_modal_projector" in name or "vision_model" in name:
-            return
         yield from super().modify_tensors(data_torch, name, bid)
 
 
@@ -3248,16 +3300,24 @@ def set_gguf_parameters(self):
         assert self.hparams["hidden_act"] == "gelu"
         self.gguf_writer.add_vision_use_gelu(True)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if "multi_modal_projector" not in name and "vision_model" not in name:
+            return None
+
+        if "positional_embedding_vlm" in name and ".weight" not in name:
+            name += ".weight"
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if "multi_modal_projector" in name or "vision_model" in name:
-            # process vision tensors
-            if "positional_embedding_vlm" in name and ".weight" not in name:
-                name += ".weight"
-            if "multi_modal_projector.linear_1" in name:
-                # despite the name with number postfix, this is a single fully connected layer
-                yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_MMPROJ_FC] + '.weight', data_torch)
-            else:
-                yield from super().modify_tensors(data_torch, name, bid)
+        if "multi_modal_projector.linear_1" in name:
+            # despite the name with number postfix, this is a single fully connected layer
+            yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_MMPROJ_FC] + '.weight', data_torch)
+        else:
+            yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register("DeciLMForCausalLM")
@@ -3752,7 +3812,7 @@ class QwenModel(TextModel):
 
     @staticmethod
     def token_bytes_to_string(b):
-        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
+        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode  # ty: ignore[unresolved-import]
         byte_encoder = bytes_to_unicode()
         return ''.join([byte_encoder[ord(char)] for char in b.decode('latin-1')])
 
@@ -3777,7 +3837,14 @@ def set_vocab(self):
         self._set_vocab_qwen()
 
 
-@ModelBase.register("Qwen2Model", "Qwen2ForCausalLM", "Qwen2AudioForConditionalGeneration", "KORMoForCausalLM", "AudioFlamingo3ForConditionalGeneration")
+@ModelBase.register(
+    "Qwen2Model",
+    "Qwen2ForCausalLM",
+    "Qwen2AudioForConditionalGeneration",
+    "KORMoForCausalLM",
+    "AudioFlamingo3ForConditionalGeneration",
+    "DotsOCRForCausalLM",
+)
 class Qwen2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN2
 
@@ -3794,13 +3861,6 @@ def set_gguf_parameters(self):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if self.hf_arch == "Qwen2Model":
             name = f"model.{name}"  # map to Qwen2ForCausalLM tensors
-        if "language_model." in name:
-            name = name.replace("language_model.", "") # for InternVL
-        if name.startswith("mlp") or name.startswith("multi_modal_projector") \
-                or name.startswith("vision_model") or name.startswith("audio_tower") \
-                or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector"):
-            # skip vision and audio tensors
-            return
         yield from super().modify_tensors(data_torch, name, bid)
 
 
@@ -3815,14 +3875,14 @@ def get_vocab_base(self) -> tuple[list[str], list[int], str]:
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
 
-        vocab_dict = tokenizer.get_vocab()
+        vocab_dict = tokenizer.get_vocab()  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab_dict))
         assert max(vocab_dict.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab_dict.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -3880,14 +3940,14 @@ def get_vocab_base(self) -> tuple[list[str], list[int], str]:
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
 
-        vocab_dict = tokenizer.get_vocab()
+        vocab_dict = tokenizer.get_vocab()  # ty: ignore[unresolved-attribute]
         vocab_size = self.hparams.get("vocab_size", len(vocab_dict))
         assert max(vocab_dict.values()) < vocab_size
 
         tokpre = self.get_vocab_base_pre(tokenizer)
 
         reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in vocab_dict.items()}
-        added_vocab = tokenizer.get_added_vocab()
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
 
         for i in range(vocab_size):
             if i not in reverse_vocab:
@@ -3988,18 +4048,21 @@ def set_vocab(self):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if "ernie." in name:
+            name = name.replace("ernie.", "model.")
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         num_heads = self.hparams["num_attention_heads"]
         num_kv_heads = self.hparams["num_key_value_heads"]
         if (head_dim := self.hparams.get("head_dim")) is None:
             head_dim = self.hparams["hidden_size"] // num_heads
 
-        if "mlp_AR" in name or "vision_model" in name:
-            # skip vision model and projector tensors
-            return
-
-        if "ernie." in name:
-            name = name.replace("ernie.", "model.")
         # split the qkv weights
         # qkv_proj shape: [(num_heads + 2 * num_kv_heads) * head_dim, hidden_size]
         if "qkv_proj" in name:
@@ -4048,29 +4111,31 @@ def set_gguf_parameters(self):
             if shared_expert_count > 0 and (shared_expert_intermediate_size := self.hparams.get('intermediate_size')) is not None and (num_key_value_heads := self.hparams.get('num_key_value_heads')) is not None:
                 self.gguf_writer.add_expert_shared_feed_forward_length(shared_expert_intermediate_size // num_key_value_heads)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Modify correction bias name as in DeepseekV2
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
         # skip Multi-Token Prediction (MTP) layers (again, same as DeepseekV2)
         match = re.match(r"model.mtp_block.(\d+)", name)
         if match:
-            return
+            return None
 
         # skip all other MTP tensors for now
         match = re.match(r"model.mtp_emb_norm.(\d+)", name)
         if match:
-            return
+            return None
 
         match = re.match(r"model.mtp_hidden_norm.(\d+)", name)
         if match:
-            return
+            return None
 
         match = re.match(r"model.mtp_linear_proj.(\d+)", name)
         if match:
-            return
+            return None
 
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # process the experts separately
         if name.find("mlp.experts") != -1:
             n_experts = self.hparams["moe_num_experts"]
@@ -4135,18 +4200,21 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vision_use_gelu(True)
         self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("rms_norm_eps", 1e-6))
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if "vision_model" not in name and "mlp_AR" not in name:
+            return None
         name = name.replace("visual.", "model.")
+        if "packing_position_embedding" in name:
+            # unused
+            return None
+        if "vision_model.head" in name:
+            # we don't yet support image embeddings for this model
+            return None
 
-        if "vision_model" in name or "mlp_AR" in name:
-            if "packing_position_embedding" in name:
-                return # unused
-            elif "vision_model.head" in name:
-                # we don't yet support image embeddings for this model
-                return
-            else:
-                yield from super().modify_tensors(data_torch, name, bid)
-        return # skip other tensors
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register(
@@ -4167,14 +4235,14 @@ def set_vocab(self):
         except FileNotFoundError:
             self._set_vocab_gpt2()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("thinker."):
             name = name.replace("thinker.", "")
-        if name.startswith("visual") or name.startswith("audio") or \
-                name.startswith("talker") or name.startswith("token2wav"):
-            # skip multimodal tensors
-            return
-        yield from super().modify_tensors(data_torch, name, bid)
+
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("Qwen2VLModel", "Qwen2VLForConditionalGeneration", "Qwen2_5_VLForConditionalGeneration")
@@ -4222,37 +4290,42 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if not name.startswith("visual."):
+            return None
+
+        return super().filter_tensors(item)
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("visual."):
-            # process visual tensors
-            # split QKV tensors if needed
-            if ".qkv." in name:
-                if data_torch.ndim == 2: # weight
-                    c3, _ = data_torch.shape
-                else: # bias
-                    c3 = data_torch.shape[0]
-                assert c3 % 3 == 0
-                c = c3 // 3
-                wq = data_torch[:c]
-                wk = data_torch[c: c * 2]
-                wv = data_torch[c * 2:]
-                yield from super().modify_tensors(wq, name.replace("qkv", "q"), bid)
-                yield from super().modify_tensors(wk, name.replace("qkv", "k"), bid)
-                yield from super().modify_tensors(wv, name.replace("qkv", "v"), bid)
-            elif 'patch_embed.proj.weight' in name:
-                # split Conv3D into Conv2Ds
-                c1, c2, kt, kh, kw = data_torch.shape
-                del c1, c2, kh, kw  # unused
-                assert kt == 2, "Current implementation only support temporal_patch_size of 2"
-                yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight"  , data_torch[:, :, 0, ...])
-                yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight.1", data_torch[:, :, 1, ...])
-            else:
-                yield from super().modify_tensors(data_torch, name, bid)
+        # split QKV tensors if needed
+        if ".qkv." in name:
+            if data_torch.ndim == 2: # weight
+                c3, _ = data_torch.shape
+            else: # bias
+                c3 = data_torch.shape[0]
+            assert c3 % 3 == 0
+            c = c3 // 3
+            wq = data_torch[:c]
+            wk = data_torch[c: c * 2]
+            wv = data_torch[c * 2:]
+            yield from super().modify_tensors(wq, name.replace("qkv", "q"), bid)
+            yield from super().modify_tensors(wk, name.replace("qkv", "k"), bid)
+            yield from super().modify_tensors(wv, name.replace("qkv", "v"), bid)
+        elif 'patch_embed.proj.weight' in name:
+            # split Conv3D into Conv2Ds
+            c1, c2, kt, kh, kw = data_torch.shape
+            del c1, c2, kh, kw  # unused
+            assert kt == 2, "Current implementation only support temporal_patch_size of 2"
+            yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight"  , data_torch[:, :, 0, ...])
+            yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".weight.1", data_torch[:, :, 1, ...])
+        else:
+            yield from super().modify_tensors(data_torch, name, bid)
 
 
-@ModelBase.register("Qwen2_5OmniModel")
-class Qwen25OmniModel(Qwen2VLVisionModel):
-    has_vision_encoder = True
+class Qwen25AudioModel(MmprojModel):
     has_audio_encoder = True
 
     def __init__(self, *args, **kwargs):
@@ -4268,12 +4341,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_audio_num_mel_bins(self.hparams_audio["num_mel_bins"])
         self.gguf_writer.add_audio_attention_layernorm_eps(self.hparams_audio.get("layer_norm_eps", 1e-5))
 
-    def get_vision_config(self) -> dict[str, Any] | None:
-        return self.global_config["thinker_config"].get("vision_config")
-
-    def get_audio_config(self) -> dict[str, Any] | None:
-        return self.global_config["thinker_config"].get("audio_config")
-
     def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         # SinusoidsPositionEmbedding
         assert self.hparams_audio is not None
@@ -4292,19 +4359,51 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "conv1.bias" in name or "conv2.bias" in name:
+            # transpose conv1 and conv2 bias
+            data_torch = data_torch.unsqueeze(-1)
+
+        yield from MmprojModel.modify_tensors(self, data_torch, name, bid)
+
+
+@ModelBase.register("Qwen2_5OmniModel")
+class Qwen25OmniModel(Qwen2VLVisionModel, Qwen25AudioModel):
+    has_audio_encoder = True
+    has_vision_encoder = True
+
+    def get_vision_config(self) -> dict[str, Any] | None:
+        return self.global_config["thinker_config"].get("vision_config")
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        return self.global_config["thinker_config"].get("audio_config")
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN25O)
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if not name.startswith("visual.") and not name.startswith("audio_tower."):
+            return None
+
         if name.startswith("thinker."):
             name = name.replace("thinker.", "")
 
-        if name.startswith("audio_tower"):
-            # process audio tensors
-            if "conv1.bias" in name or "conv2.bias" in name:
-                # transpose conv1 and conv2 bias
-                data_torch = data_torch.unsqueeze(-1)
-            if "audio_bos_eos_token" in name:
-                # this tensor is left unused in transformers code
-                # https://github.com/huggingface/transformers/blob/6e3063422c4b1c014aa60c32b9254fd2902f0f28/src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py#L1809
-                return
-        yield from super().modify_tensors(data_torch, name, bid)
+        if "audio_bos_eos_token" in name:
+            # this tensor is left unused in transformers code
+            # https://github.com/huggingface/transformers/blob/6e3063422c4b1c014aa60c32b9254fd2902f0f28/src/transformers/models/qwen2_5_omni/modular_qwen2_5_omni.py#L1809
+            return None
+
+        return MmprojModel.filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "visual." in name:
+            yield from Qwen2VLVisionModel.modify_tensors(self, data_torch, name, bid)
+        elif "audio_tower." in name:
+            yield from Qwen25AudioModel.modify_tensors(self, data_torch, name, bid)
+        return  # skip other tensors
 
 
 @ModelBase.register("InternVisionModel")
@@ -4352,7 +4451,14 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def _mapping_interns1_name(self, name):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        vision_prefix = ['vision_model', 'mlp', 'model.vision_tower', 'model.multi_modal_projector']
+        if not any([name.startswith(prefix) for prefix in vision_prefix]):
+            return None
+        # deal with intern-s1 special case
         names_map = {
             "model.multi_modal_projector.layer_norm.bias": "mlp1.0.bias",
             "model.multi_modal_projector.layer_norm.weight": "mlp1.0.weight",
@@ -4363,35 +4469,31 @@ def _mapping_interns1_name(self, name):
         }
         if name in names_map:
             name = names_map[name]
-        return name
+        # correct name
+        if name.startswith("vision_model"):
+            name = "vision_tower." + name
+        if (".ls" in name or ".lambda_" in name or "position_embedding" in name) and not name.endswith(".weight"):
+            name += ".weight"
+
+        return super().filter_tensors((name, gen))
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        vision_prefix = ['vision_model', 'mlp', 'model.vision_tower', 'model.multi_modal_projector']
-        # deal with intern-s1 special case
-        name = self._mapping_interns1_name(name)
-        if any([name.startswith(prefix) for prefix in vision_prefix]):
-            # process visual tensors
-            # correct name
-            if name.startswith("vision_model"):
-                name = "vision_tower." + name
-            if (".ls" in name or ".lambda_" in name or "position_embedding" in name) and not name.endswith(".weight"):
-                name += ".weight"
-            # split QKV tensors if needed
-            if ".qkv." in name:
-                if data_torch.ndim == 2: # weight
-                    c3, _ = data_torch.shape
-                else: # bias
-                    c3 = data_torch.shape[0]
-                assert c3 % 3 == 0
-                c = c3 // 3
-                wq = data_torch[:c]
-                wk = data_torch[c: c * 2]
-                wv = data_torch[c * 2:]
-                yield from super().modify_tensors(wq, name.replace("attn.qkv", "self_attn.q_proj"), bid)
-                yield from super().modify_tensors(wk, name.replace("attn.qkv", "self_attn.k_proj"), bid)
-                yield from super().modify_tensors(wv, name.replace("attn.qkv", "self_attn.v_proj"), bid)
-            else:
-                yield from super().modify_tensors(data_torch, name, bid)
+        # split QKV tensors if needed
+        if ".qkv." in name:
+            if data_torch.ndim == 2: # weight
+                c3, _ = data_torch.shape
+            else: # bias
+                c3 = data_torch.shape[0]
+            assert c3 % 3 == 0
+            c = c3 // 3
+            wq = data_torch[:c]
+            wk = data_torch[c: c * 2]
+            wv = data_torch[c * 2:]
+            yield from super().modify_tensors(wq, name.replace("attn.qkv", "self_attn.q_proj"), bid)
+            yield from super().modify_tensors(wk, name.replace("attn.qkv", "self_attn.k_proj"), bid)
+            yield from super().modify_tensors(wv, name.replace("attn.qkv", "self_attn.v_proj"), bid)
+        else:
+            yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register(
@@ -4440,14 +4542,29 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if "input_conditioner" in name:
-            return
+            return None
+
+        # mtmd does not support video yet so skip tensors related to video.
+        if "radio_model.model.patch_generator.video_embedder" in name:
+            return None
+
+        if not name.startswith("vision_model.radio_model.model.") and not name.startswith("mlp1."):
+            return None
 
-        # RADIO's pos_embed doesn't have .weight suffix, but clip.cpp expects it
         if "patch_generator.pos_embed" in name:
             if not name.endswith(".weight"):
                 name += ".weight"
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # RADIO's pos_embed doesn't have .weight suffix, but clip.cpp expects it
+        if "patch_generator.pos_embed" in name:
             # Downsample position embeddings for fixed 512x512 image size
             import torch.nn.functional as F
             n_embd = self.hparams["hidden_size"]
@@ -4471,25 +4588,25 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             n_embd = self.hparams["hidden_size"]
             data_torch = data_torch.reshape(n_embd, 3, patch_size, patch_size)
 
-        if name.startswith("vision_model.radio_model.model.") or name.startswith("mlp1."):
-            yield from super().modify_tensors(data_torch, name, bid)
+        yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register("WavTokenizerDec")
 class WavTokenizerDecModel(TextModel):
     model_arch = gguf.MODEL_ARCH.WAVTOKENIZER_DEC
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if \
                 name.endswith("codebook.cluster_size") or \
                 name.endswith("codebook.embed_avg") or \
                 name.endswith("codebook.inited"):
             logger.debug(f"Skipping {name!r}")
-            return
-
-        logger.info(f"{self.map_tensor_name(name)} -> {data_torch.shape}")
+            return None
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors(item)
 
     def set_vocab(self):
         self._set_vocab_none()
@@ -4527,17 +4644,6 @@ def set_gguf_parameters(self):
     _experts: list[dict[str, Tensor]] | None = None
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # process the experts separately
-        name = name.replace("language_model.", "") # InternVL
-
-        # NVFP4 expert weights are handled in _generate_nvfp4_tensors
-        if self._is_nvfp4 and "experts" in name:
-            if name.endswith((".weight", ".weight_scale", ".weight_scale_2", ".input_scale")):
-                if name.endswith(".weight") and name.replace(".weight", ".weight_scale") in self.model_tensors:
-                    return
-                if not name.endswith(".weight"):
-                    return
-
         # handle aggregated expert tensors
         # GGUF stores dimensions reversed from PyTorch, so:
         # PyTorch (A,B,C) -> GGUF writes [C,B,A] -> GGML reads ne={C,B,A}
@@ -4564,10 +4670,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             yield from super().modify_tensors(up, mapped_up, bid)
             return
 
-        if name.startswith("mlp") or name.startswith("vision_model") or name.startswith("model.vision_tower") or name.startswith("model.multi_modal_projector") or name.startswith("model.visual"):
-            # skip visual tensors
-            return
-
         if name.find("experts") != -1:
             n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
@@ -4665,9 +4767,9 @@ def _find_rerank_config(self):
 
         self.is_rerank = True
         self.is_tied_embeddings = self.hparams.get("tie_word_embeddings", False)
-        self.token_false_id = tokenizer.convert_tokens_to_ids("no")
-        self.token_true_id = tokenizer.convert_tokens_to_ids("yes")
-        self.sep_token_id = tokenizer.convert_tokens_to_ids("|")
+        self.token_false_id = tokenizer.convert_tokens_to_ids("no")  # ty: ignore[unresolved-attribute, invalid-assignment]
+        self.token_true_id = tokenizer.convert_tokens_to_ids("yes")  # ty: ignore[unresolved-attribute, invalid-assignment]
+        self.sep_token_id = tokenizer.convert_tokens_to_ids("|")  # ty: ignore[unresolved-attribute]
 
         assert self.token_false_id is not None and self.token_true_id is not None
 
@@ -4690,10 +4792,6 @@ def _get_cls_out_tensor(self, data_torch: Tensor) -> Tensor:
         return torch.stack([true_row, false_row], dim=0)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if "model.vision_" in name:
-            # skip multimodal tensors
-            return
-
         if self.is_rerank:
             is_tied_head = self.is_tied_embeddings and "embed_tokens" in name
             is_real_head = not self.is_tied_embeddings and "lm_head" in name
@@ -4744,9 +4842,17 @@ def set_gguf_parameters(self):
             rope_dim = self.hparams["hidden_size"] // self.hparams["num_attention_heads"]
         self.gguf_writer.add_rope_dimension_count(int(rope_dim * self.hparams.get("partial_rotary_factor", 0.25)))
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("mtp"):
-            return  # ignore MTP layers for now
+            # ignore MTP layers for now
+            return None
+
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if name.endswith(".A_log"):
             data_torch = -torch.exp(data_torch)
         elif name.endswith(".dt_bias"):
@@ -4808,7 +4914,10 @@ def set_gguf_parameters(self):
 class Qwen3VLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        assert self.hparams_vision is not None
+        if self.hparams_vision is None:
+            logger.info("No vision config found, skipping vision tensor processing")
+            return
+
         # Compute image_size if not present
         if "image_size" not in self.hparams_vision:
             # For Qwen3VL/Qwen3VLMoe, compute from num_position_embeddings
@@ -4829,7 +4938,9 @@ def __init__(self, *args, **kwargs):
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN3VL)
+        # in case mixed modalities, the arch will be handled by subclass
+        if not self.has_audio_encoder:
+            self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.QWEN3VL)
         self.gguf_writer.add_vision_use_gelu(True)
 
         if self.hparams_vision is not None:
@@ -4844,19 +4955,29 @@ def set_gguf_parameters(self):
         if self.is_deepstack_layers:
             self.gguf_writer.add_vision_is_deepstack_layers(self.is_deepstack_layers)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        assert self.hparams_vision is not None
-        # Skip text model tensors - they go in the text model file
-        if name.startswith("model.language_model.") or name.startswith("lm_head."):
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # Skip text model tensors
+        if name.startswith("lm_head."):
+            return None
 
         # Skip MTP tensors
         if name.startswith("mtp."):
-            return
+            return None
 
         if name.startswith("model.visual."):
             name = name.replace("model.visual.", "visual.", 1)
 
+        if not name.startswith("visual."):
+            return None
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        assert self.hparams_vision is not None
+
         if name.startswith("visual.deepstack_merger_list."):
             prefix, rest = name.split(".", maxsplit=3)[2:]
             # prefix is the layer index, convert to absolute clip layer index!
@@ -4916,22 +5037,93 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             yield (gguf.TENSOR_NAMES[gguf.MODEL_TENSOR.V_ENC_EMBD_PATCH] + ".bias", data_torch)
             return
 
-        if name.startswith("visual."):
-            yield from super().modify_tensors(data_torch, name, bid)
-            return
-
-        # Fall back to parent class for other tensors
-        yield from super().modify_tensors(data_torch, name, bid)
+        yield from MmprojModel.modify_tensors(self, data_torch, name, bid)
 
 
-@ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration", "GlmOcrForConditionalGeneration")
-class Glm4VVisionModel(Qwen3VLVisionModel):
-    def set_gguf_parameters(self):
-        MmprojModel.set_gguf_parameters(self) # skip Qwen3VLVisionModel parameters
-        assert self.hparams_vision is not None
-        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.GLM4V)
+@ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+class Qwen3OmniMmprojModel(Qwen3VLVisionModel, Qwen25AudioModel):
+    has_audio_encoder = True
+    has_vision_encoder = True
 
-        hidden_act = str(self.hparams_vision.get("hidden_act", "")).lower()
+    def get_vision_config(self) -> dict[str, Any] | None:
+        if self.has_vision_encoder:
+            return self.global_config["thinker_config"].get("vision_config")
+        else:
+            return None
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        if self.has_audio_encoder:
+            return self.global_config["thinker_config"].get("audio_config")
+        else:
+            return None
+
+    def set_gguf_parameters(self):
+        if self.has_vision_encoder:
+            Qwen3VLVisionModel.set_gguf_parameters(self)
+            self.gguf_writer.add_clip_vision_projector_type(gguf.VisionProjectorType.QWEN3VL)
+        if self.has_audio_encoder:
+            Qwen25AudioModel.set_gguf_parameters(self)
+            self.gguf_writer.add_clip_audio_projector_type(gguf.VisionProjectorType.QWEN3A)
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # Skip text model tensors
+        if name.startswith("lm_head."):
+            return None
+
+        # Skip MTP tensors
+        if name.startswith("mtp."):
+            return None
+
+        if name.startswith("model.visual."):
+            name = name.replace("model.visual.", "visual.", 1)
+
+        if "visual." not in name and "audio_tower." not in name:
+            return None
+
+        return MmprojModel.filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "visual." in name:
+            if not self.has_vision_encoder:
+                raise ValueError(f"Model does not have vision encoder, but found tensor {name}")
+            # need to transform vision tensor naming, so that modify_tensors() logic can be used correctly
+            name = name.replace("thinker.visual.", "model.visual.")
+            if ".merger_list." in name:
+                name = name.replace(".merger_list.", ".deepstack_merger_list.")
+                name = name.replace(".ln_q", ".norm")
+                name = name.replace(".mlp.0", ".linear_fc1")
+                name = name.replace(".mlp.2", ".linear_fc2")
+            elif ".merger." in name:
+                name = name.replace(".ln_q", ".norm")
+                name = name.replace(".mlp.0", ".linear_fc1")
+                name = name.replace(".mlp.2", ".linear_fc2")
+            yield from Qwen3VLVisionModel.modify_tensors(self, data_torch, name, bid)
+        elif "audio_tower." in name:
+            if not self.has_audio_encoder:
+                raise ValueError(f"Model does not have audio encoder, but found tensor {name}")
+            if "conv2d" in name and name.endswith(".bias"):
+                # transform conv2d bias [n_embd] --> [1, 1, n_embd]
+                data_torch = data_torch.unsqueeze(-1).unsqueeze(-1)
+            yield from Qwen25AudioModel.modify_tensors(self, data_torch, name, bid)
+
+
+@ModelBase.register("Qwen3ASRForConditionalGeneration")
+class Qwen3ASRMmprojModel(Qwen3OmniMmprojModel):
+    has_audio_encoder = True
+    has_vision_encoder = False
+
+
+@ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration", "GlmOcrForConditionalGeneration")
+class Glm4VVisionModel(Qwen3VLVisionModel):
+    def set_gguf_parameters(self):
+        MmprojModel.set_gguf_parameters(self) # skip Qwen3VLVisionModel parameters
+        assert self.hparams_vision is not None
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.GLM4V)
+
+        hidden_act = str(self.hparams_vision.get("hidden_act", "")).lower()
         if hidden_act == "gelu":
             self.gguf_writer.add_vision_use_gelu(True)
         elif hidden_act == "silu":
@@ -4941,32 +5133,112 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vision_attention_layernorm_eps(rms_norm_eps)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("model.visual."):
-            name = name.replace("model.visual.", "visual.")
         if name.startswith("visual.merger."):
             yield from ModelBase.modify_tensors(self, data_torch, name, bid)
             return
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("StepVLForConditionalGeneration")
+class Step3VLVisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+
+        if not self.hparams_vision.get("intermediate_size"):
+            hidden_size = self.hparams_vision.get("hidden_size") or self.hparams_vision.get("width") or 0
+            assert hidden_size > 0
+            mlp_ratio = float(self.hparams_vision.get("mlp_ratio", 8960 / 1536))
+            self.hparams_vision["intermediate_size"] = int(round(hidden_size * mlp_ratio))
+
+        self.preprocessor_config.setdefault("image_mean", list(_MISTRAL_COMMON_DATASET_MEAN))
+        self.preprocessor_config.setdefault("image_std", list(_MISTRAL_COMMON_DATASET_STD))
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+
+        projector_stride = int(self.global_config.get("understand_projector_stride", -1))
+        hidden_size = int(self.hparams_vision.get("hidden_size", self.hparams_vision.get("width", -1)))
+        num_layers = int(self.hparams_vision.get("num_hidden_layers", self.hparams_vision.get("layers", -1)))
+        assert (projector_stride, int(self.hparams_vision.get("image_size", -1)), hidden_size, num_layers) == (2, 728, 1536, 47), (
+            "current Step3-VL conversion path is only validated for Step3-VL-10B"
+        )
+
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.STEP3VL)
+        self.gguf_writer.add_vision_attention_layernorm_eps(float(self.hparams_vision.get("layer_norm_eps", 1e-5)))
+        self.gguf_writer.add_vision_projector_scale_factor(projector_stride ** 2)
+        # 3024 max resize comes from step3-vl-10b processing_step3.py.
+        self.gguf_writer.add_vision_preproc_image_size(3024)
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if ".position_embd." in new_name:
+            return gguf.GGMLQuantizationType.F32
+        if ("mm.0." in new_name or "mm.1." in new_name) and new_name.endswith(".weight"):
+            return gguf.GGMLQuantizationType.F16 if self.ftype == gguf.LlamaFileType.MOSTLY_F16 else gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.startswith(("model.", "lm_head.")):
+            return None
+
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("vision_model.vit_downsampler"):
+            match = re.match(r"vision_model\.vit_downsampler(\d+)\.(weight|bias)", name)
+            if match is None:
+                raise ValueError(f"Unexpected Step3-VL projector tensor {name!r}")
+
+            proj_id = int(match.group(1)) - 1
+            suffix = f".{match.group(2)}"
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, proj_id, suffix=suffix), data_torch)
+            return
+
+        if name == "vit_large_projector.weight":
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ_FC), data_torch)
+            return
+
+        if name.startswith("vision_model."):
+            if name == "vision_model.positional_embedding":
+                name += ".weight"
+            elif name.endswith(".gamma") and ".ls_" in name:
+                name = name.removesuffix(".gamma") + ".weight"
+
+            name = name.replace("attn.in_proj_weight", "attn.in_proj.weight")
+            name = name.replace("attn.in_proj_bias", "attn.in_proj.bias")
+
+            yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("Qwen3VLForConditionalGeneration")
 class Qwen3VLTextModel(Qwen3Model):
     model_arch = gguf.MODEL_ARCH.QWEN3VL
 
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
-
-        # Handle MRoPE (Multi-axis Rotary Position Embedding) for Qwen3-VL
-        vision_config = self.hparams.get("vision_config", {})
+        if "thinker_config" in self.hparams:
+            vision_config = self.hparams["thinker_config"].get("vision_config", {})
+        else:
+            vision_config = self.hparams.get("vision_config", {})
         deepstack_layer_num = len(vision_config.get("deepstack_visual_indexes", []))
         self.gguf_writer.add_num_deepstack_layers(deepstack_layer_num)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Skip vision tensors - they go in the mmproj file
-        if name.startswith("model.visual."):
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        name = name.replace("thinker.", "")
+
+        return super().filter_tensors((name, gen))
+
+
+@ModelBase.register("StepVLForConditionalGeneration")
+class Step3VLTextModel(Qwen3Model):
+    model_arch = gguf.MODEL_ARCH.QWEN3
 
 
 @ModelBase.register("Qwen3VLMoeForConditionalGeneration")
@@ -4979,21 +5251,23 @@ def set_gguf_parameters(self):
         deepstack_layer_num = len(vision_config.get("deepstack_visual_indexes", []))
         self.gguf_writer.add_num_deepstack_layers(deepstack_layer_num)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Skip vision tensors - they go in the mmproj file
-        if name.startswith("model.visual."):
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        name = name.replace("thinker.", "")
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # Qwen3VL has transposed packed tensors, so we treat it differently from general Qwen2MoE packed tensors
         if name.endswith("mlp.experts.down_proj") or name.endswith("mlp.experts.down_proj.weight"):
-            name = name.replace("language_model.", "")
             mapped = f"{name}.weight" if not name.endswith(".weight") else name
             permuted = data_torch.permute(0, 2, 1).contiguous()
             yield from ModelBase.modify_tensors(self, permuted, mapped, bid)
             return
 
         if name.endswith("mlp.experts.gate_up_proj") or name.endswith("mlp.experts.gate_up_proj.weight"):
-            name = name.replace("language_model.", "")
             if data_torch.ndim < 3 or data_torch.shape[-1] % 2 != 0:
                 raise ValueError(f"Unexpected gate_up_proj shape for {name}: {tuple(data_torch.shape)}")
             split_dim = data_torch.shape[-1] // 2
@@ -5016,6 +5290,50 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+@ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+class Qwen3OmniMoeTextModel(Qwen3VLMoeTextModel):
+    model_arch = gguf.MODEL_ARCH.QWEN3VLMOE
+
+    def set_vocab(self):
+        super().set_vocab()
+        # correct BOS/EOS tokens
+        with open(self.dir_model / "tokenizer_config.json", "r", encoding="utf-8") as f:
+            tokenizer_config = json.load(f)
+            added_tokens = tokenizer_config.get("added_tokens_decoder", {})
+            for token_id, data in added_tokens.items():
+                if data.get("content") == "<|im_end|>":
+                    self.gguf_writer.add_bos_token_id(int(token_id))
+                    self.gguf_writer.add_eos_token_id(int(token_id))
+                    break
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_num_deepstack_layers(0)
+
+
+@ModelBase.register("Qwen3ASRForConditionalGeneration")
+class Qwen3ASRTextModel(Qwen3VLTextModel):
+    model_arch = gguf.MODEL_ARCH.QWEN3VL
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_num_deepstack_layers(0)
+
+    def set_vocab(self):
+        super().set_vocab()
+        # fix chat template, use correct chatml format
+        self.gguf_writer.add_chat_template("{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}")
+        # correct BOS/EOS tokens
+        with open(self.dir_model / "tokenizer_config.json", "r", encoding="utf-8") as f:
+            tokenizer_config = json.load(f)
+            added_tokens = tokenizer_config.get("added_tokens_decoder", {})
+            for token_id, data in added_tokens.items():
+                if data.get("content") == "<|im_end|>":
+                    self.gguf_writer.add_bos_token_id(int(token_id))
+                    self.gguf_writer.add_eos_token_id(int(token_id))
+                    break
+
+
 class _LinearAttentionVReorderBase(Qwen3NextModel):
     model_arch = gguf.MODEL_ARCH.QWEN3NEXT  # overridden by subclasses
     """reorders V heads from grouped to tiled order for ggml broadcast
@@ -5184,16 +5502,101 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         yield from super().modify_tensors(data_torch, name, bid)
 
 
+class _Qwen35MRopeMixin:
+    # Qwen3.5 always applies interleaved MRoPE (see Qwen3_5RotaryEmbedding in transformers);
+    # the upstream default mrope_section is [11, 11, 10] and llama.cpp's QWEN35 / QWEN35MOE
+    # loaders treat qwen35.rope.dimension_sections as required, so make sure it is always
+    # written even when a particular checkpoint omits the field in `rope_parameters`.
+    _QWEN35_DEFAULT_MROPE_SECTION = [11, 11, 10, 0]
+
+    gguf_writer: gguf.GGUFWriter
+    rope_parameters: dict
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()  # ty: ignore[unresolved-attribute]
+        if "mrope_section" not in self.rope_parameters:
+            self.gguf_writer.add_rope_dimension_sections(self._QWEN35_DEFAULT_MROPE_SECTION)
+
+
 @ModelBase.register("Qwen3_5ForConditionalGeneration", "Qwen3_5ForCausalLM")
-class Qwen3_5TextModel(_LinearAttentionVReorderBase):
+class Qwen3_5TextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35
 
 
 @ModelBase.register("Qwen3_5MoeForConditionalGeneration", "Qwen3_5MoeForCausalLM")
-class Qwen3_5MoeTextModel(_LinearAttentionVReorderBase):
+class Qwen3_5MoeTextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35MOE
 
 
+# MiniCPM-V 4.6: text tower is Qwen3.5 (linear+full hybrid attention) wrapped under
+# `model.language_model.*`; vision tower is SigLIP + a window-attention ViT merger
+# + a final DownsampleMLP merger. The same HF arch is registered twice below: once as
+# the LM (text mode) and once as the mmproj (vision mode), mirroring the Qwen3-VL setup.
+
+@ModelBase.register("MiniCPMV4_6ForConditionalGeneration")
+class MiniCPMV4_6TextModel(Qwen3_5TextModel):
+    model_arch = gguf.MODEL_ARCH.QWEN35
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.startswith("model.merger."):
+            return None
+        # MTP tensors are not used at inference yet; align with Qwen3Next behaviour
+        if name.startswith("mtp"):
+            return None
+
+        return super().filter_tensors(item)
+
+
+@ModelBase.register("MiniCPMV4_6ForConditionalGeneration")
+class MiniCPMV4_6VisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        if self.hparams_vision is not None:
+            # In MiniCPM-V 4.6 `vision_config.image_size` (980) describes the SigLIP
+            # positional embedding bucket grid (70 x 70), while the per-slice processing
+            # resolution is the preprocessor's `scale_resolution` (typically 448).
+            # The CLIP loader in tools/mtmd/clip.cpp consumes `clip.vision.image_size`
+            # as the slice size and warmup resolution, so report `scale_resolution` there
+            # to match the upstream MiniCPMV4_6ImageProcessorPil slicing rules.
+            scale_resolution = self.preprocessor_config.get("scale_resolution")
+            if scale_resolution is not None:
+                self.hparams_vision["image_size"] = int(scale_resolution)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        assert self.hparams_vision is not None
+
+        # projector type string is consumed by clip_projector_type_from_string() in clip.cpp
+        # (mapped to PROJECTOR_TYPE_MINICPMV4_6).
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MINICPMV4_6)
+
+        # ViT merger 2x2 + final merger 2x2 = 4x spatial merge per dimension; used for slice alignment
+        self.gguf_writer.add_vision_projector_scale_factor(4)
+
+        # borrow wa_layer_indexes for vit_merger insertion point
+        insert_layer_id = int(self.global_config.get(
+            "insert_layer_id", self.hparams_vision.get("insert_layer_id", 6)))
+        self.gguf_writer.add_vision_wa_layer_indexes([insert_layer_id])
+
+        # SigLIP vision body uses gelu_pytorch_tanh, which matches ggml_gelu (tanh approx).
+        self.gguf_writer.add_vision_use_gelu(True)
+        self.gguf_writer.add_vision_attention_layernorm_eps(
+            self.hparams_vision.get("layer_norm_eps", 1e-6))
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # lm_head / MTP -> belong to the LM file
+        if name.startswith(("lm_head.", "mtp")):
+            return None
+
+        return super().filter_tensors(item)
+
+
 @ModelBase.register("GPT2LMHeadModel")
 class GPT2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GPT2
@@ -5459,12 +5862,6 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_LONG), torch.tensor(long_factors, dtype=torch.float32))
         yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FACTORS_SHORT), torch.tensor(short_factors, dtype=torch.float32))
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith(("model.vision_tower.", "vision_tower.", "model.mm_projector.", "mm_projector.")):
-            return
-
-        yield from super().modify_tensors(data_torch, name, bid)
-
 
 @ModelBase.register("Phi4ForCausalLMV")
 class Phi4VisionMmprojModel(MmprojModel):
@@ -5534,20 +5931,29 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vision_use_gelu(True)
         self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-6))
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith(("model.vision_tower.vision_tower.", "vision_tower.")):
-            if ".vision_model.head." in name:
-                return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
-            new_name = name.replace("model.vision_tower.vision_tower.", "vision_tower.")
+        name = name.replace("model.vision_tower.vision_tower.", "vision_tower.")
 
-            if ".vision_model.post_layernorm." in new_name:
-                return
+        if not name.startswith(("vision_tower.", "model.mm_projector.", "mm_projector.")):
+            return None
+
+        if ".vision_model.head." in name:
+            return None
+
+        if ".vision_model.post_layernorm." in name:
+            return None
+
+        return super().filter_tensors((name, gen))
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("vision_tower."):
             if bid is not None and bid == self.vision_last_layer_idx:
                 return
 
-            if new_name.endswith("vision_model.embeddings.patch_embedding.weight"):
+            if name.endswith("vision_model.embeddings.patch_embedding.weight"):
                 assert self.hparams_vision is not None
                 if data_torch.ndim != 2:
                     raise ValueError(f"Unexpected Phi-4 patch embedding shape: {tuple(data_torch.shape)}")
@@ -5564,7 +5970,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 data_torch = data_torch.view(data_torch.shape[0], patch_size, patch_size, num_channels)
                 data_torch = data_torch.permute(0, 3, 1, 2)
 
-            yield from super().modify_tensors(data_torch, new_name, bid)
+            yield from super().modify_tensors(data_torch, name, bid)
             return
 
         if name.startswith(("model.mm_projector.", "mm_projector.")):
@@ -5859,7 +6265,7 @@ def set_vocab(self):
             # Build merges list using the approach similar to HunYuanMoE
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.model._mergeable_ranks
+            mergeable_ranks = tokenizer.model._mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -5869,7 +6275,7 @@ def set_vocab(self):
                     merges.append(' '.join(map(QwenModel.token_bytes_to_string, merged)))
             # Build token list
             vocab_size = self.hparams["vocab_size"]
-            special_tokens = tokenizer.special_tokens
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -5895,7 +6301,7 @@ def set_vocab(self):
             special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=False)
             special_vocab.add_to_gguf(self.gguf_writer)
             # override eos id in config.json with tiktoken eos id
-            self.gguf_writer.add_eos_token_id(tokenizer.eos_id)
+            self.gguf_writer.add_eos_token_id(tokenizer.eos_id)  # ty: ignore[unresolved-attribute]
         else:
             raise NotImplementedError(f"Deepseek pre-tokenizer {tokpre!r} is not supported yet!")
 
@@ -5994,10 +6400,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 data_torch = data_torch.reshape(1, d_inner, 1, d_conv)
                 logger.info(f"Reshaped conv1d weight {name}: [d_inner={d_inner}, 1, d_conv={d_conv}] -> numpy {tuple(data_torch.shape)} -> ggml ne=[{d_conv}, 1, {d_inner}, 1]")
 
-        # Kimi specific bias
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-
         # Handle A_log: iHF stores as [1, 1, num_heads, 1]
         # llama.cpp expects ggml ne = [1, num_heads, 1, 1]
         # GGUF reverses numpy shape: numpy (1, 1, num_heads, 1) -> ggml ne = [1, num_heads, 1, 1]
@@ -6190,11 +6592,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         head_dim = n_embd // num_heads
         num_groups = num_heads // q_per_kv
 
-        name = name.replace("language_model.", "") # InternVL
-        if name.startswith("mlp") or name.startswith("vision_model"):
-            # skip visual tensors
-            return
-
         if bid is not None and f"model.layers.{bid}.attention.wqkv" in name:
             qkv = data_torch
 
@@ -6256,13 +6653,19 @@ def set_gguf_parameters(self):
             rope_dim = hparams["hidden_size"] // hparams["num_attention_heads"]
         self.gguf_writer.add_rope_dimension_count(rope_dim)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.startswith(("mlp", "vision_model")):
+            # skip visual tensors
+            return None
+
+        return super().filter_tensors(item)
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.hparams["num_attention_heads"]
         n_kv_head = self.hparams.get("num_key_value_heads")
-        name = name.replace("language_model.", "") # InternVL
-        if name.startswith("mlp") or name.startswith("vision_model"):
-            # skip visual tensors
-            return
         if name.endswith(("q_proj.weight", "q_proj.bias")):
             data_torch = LlamaModel.permute(data_torch, n_head, n_head)
         if name.endswith(("k_proj.weight", "k_proj.bias")):
@@ -6321,7 +6724,10 @@ def phantom(tok, toktype):
         special_vocab = gguf.SpecialVocab(self.dir_model, n_vocab=len(tokens))
         special_vocab.add_to_gguf(self.gguf_writer)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("bert."):
             name = name[5:]
 
@@ -6333,14 +6739,17 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
         # we are only using BERT for embeddings so we don't need the pooling layer
         if name in ("embeddings.position_ids", "pooler.dense.weight", "pooler.dense.bias"):
-            return # we don't need these
+            return None
 
         if name.startswith("cls.predictions"):
-            return
+            return None
 
         if name.startswith("cls.seq_relationship"):
-            return
+            return None
+
+        return super().filter_tensors((name, gen))
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if self.cls_out_labels:
             # For BertForSequenceClassification (direct projection layer)
             if name == "classifier.weight":
@@ -6389,11 +6798,11 @@ def _xlmroberta_set_vocab(self) -> None:
                 with open(tokenizer_config_path, "r", encoding="utf-8") as fp:
                     tokenizer_config_json = json.load(fp)
 
-            add_prefix = tokenizer.add_prefix_space
-            remove_whitespaces = tokenizer.clean_up_tokenization_spaces
+            add_prefix = tokenizer.add_prefix_space  # ty: ignore[unresolved-attribute]
+            remove_whitespaces = tokenizer.clean_up_tokenization_spaces  # ty: ignore[unresolved-attribute]
             precompiled_charsmap = b64decode(tokenizer_json["normalizer"]["precompiled_charsmap"])
 
-            vocab_size = max(self.hparams.get("vocab_size", 0), tokenizer.vocab_size)
+            vocab_size = max(self.hparams.get("vocab_size", 0), tokenizer.vocab_size)  # ty: ignore[unresolved-attribute]
         else:
             sentencepiece_model = model.ModelProto()  # pyright: ignore[reportAttributeAccessIssue] # ty: ignore[unresolved-attribute]
             sentencepiece_model.ParseFromString(open(tokenizer_path, "rb").read())
@@ -6432,20 +6841,20 @@ def _xlmroberta_set_vocab(self) -> None:
                 scores[token_id] = score
                 toktypes[token_id] = toktype
         else:
-            added_vocab = tokenizer.get_added_vocab()
+            added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
             unk_token = tokenizer_config_json.get("unk_token")
-            unk_token_id = added_vocab.get(unk_token, tokenizer_json["model"].get("unk_id", 3))
+            unk_token_id = added_vocab.get(unk_token, tokenizer_json["model"].get("unk_id", 3))  # ty: ignore[no-matching-overload]
 
-            for token_id in range(tokenizer.vocab_size):
-                piece = tokenizer._convert_id_to_token(token_id)
-                if (piece := tokenizer._convert_id_to_token(token_id)) is not None:
+            for token_id in range(tokenizer.vocab_size):  # ty: ignore[unresolved-attribute]
+                piece = tokenizer._convert_id_to_token(token_id)  # ty: ignore[unresolved-attribute]
+                if (piece := tokenizer._convert_id_to_token(token_id)) is not None:  # ty: ignore[unresolved-attribute]
                     text = piece.encode("utf-8")
                     score = tokenizer_json["model"]["vocab"][token_id][1]
 
                     toktype = SentencePieceTokenTypes.NORMAL
                     if token_id == unk_token_id:
                         toktype = SentencePieceTokenTypes.UNKNOWN
-                    elif token_id in tokenizer.all_special_ids:
+                    elif token_id in tokenizer.all_special_ids:  # ty: ignore[unresolved-attribute]
                         toktype = SentencePieceTokenTypes.CONTROL
                     elif token_id in added_vocab.values():
                         toktype = SentencePieceTokenTypes.USER_DEFINED
@@ -6498,15 +6907,18 @@ def set_gguf_parameters(self):
         logger.info("gguf: layer norm epsilon = 1e-12")
         super().set_gguf_parameters()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("distilbert."):
             name = name[11:]
 
         # These layers act as MLM head, so we don't need them
         if name.startswith("vocab_"):
-            return
+            return None
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("RobertaModel", "RobertaForSequenceClassification")
@@ -6538,12 +6950,18 @@ def set_vocab(self):
         else:
             return super().set_vocab()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # if name starts with "roberta.", remove the prefix
         # e.g. https://huggingface.co/BAAI/bge-reranker-v2-m3/tree/main
         if name.startswith("roberta."):
             name = name[8:]
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # position embeddings start at pad_token_id + 1, so just chop down the weight tensor
         if name == "embeddings.position_embeddings.weight":
             if self._position_offset is not None:
@@ -6599,11 +7017,17 @@ def set_vocab(self) -> None:
             return self._xlmroberta_set_vocab()
         return super().set_vocab()
 
-    def modify_tensors(self, data_torch: torch.Tensor, name: str, bid: int | None) -> Iterable[tuple[str, torch.Tensor]]:
-        # If the tensor is an experts bias tensor, skip it by returning an empty list.
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # If the tensor is an experts bias tensor, skip it.
         if "mlp.experts.bias" in name:
-            return # Explicitly return.
+            return None
 
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: torch.Tensor, name: str, bid: int | None) -> Iterable[tuple[str, torch.Tensor]]:
         n_experts = self.find_hparam(["num_local_experts", "num_experts"])
         if "mlp.experts.mlp.w1" in name:
             data_torch = data_torch.view(n_experts, self.hparams["n_inner"], self.hparams["n_embd"])
@@ -6651,14 +7075,17 @@ def set_gguf_parameters(self):
 
         self.gguf_writer.add_pooling_type(gguf.PoolingType.CLS) # https://huggingface.co/chandar-lab/NeoBERT#how-to-use
 
-    def modify_tensors(self, data_torch, name, bid):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("decoder."):
-            return
+            return None
 
         if name.startswith("model."):
             name = name[6:]
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("EuroBertModel", "JinaEmbeddingsV5Model")
@@ -6679,12 +7106,14 @@ def set_gguf_parameters(self):
 
         self._try_set_pooling_type()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Strip "model." prefix from tensor names
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("model."):
             name = name[6:]
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("XLMRobertaModel", "XLMRobertaForSequenceClassification")
@@ -6722,7 +7151,10 @@ def set_type(self):
     def set_vocab(self):
         self._xlmroberta_set_vocab()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # if name starts with "roberta.", remove the prefix
         # e.g. https://huggingface.co/BAAI/bge-reranker-v2-m3/tree/main
         if name.startswith("roberta."):
@@ -6734,6 +7166,9 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             if name.endswith(".original"):
                 name = name[:-9]
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # position embeddings start at pad_token_id + 1, so just chop down the weight tensor
         if name == "embeddings.position_embeddings.weight":
             if self._position_offset is not None:
@@ -6817,13 +7252,19 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_value_length(hparams["head_dim"])
         self.gguf_writer.add_file_type(self.ftype)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # lm_head is not used in llama.cpp, while autoawq will include this tensor in model
         # To prevent errors, skip loading lm_head.weight.
         if name == "lm_head.weight":
             logger.debug(f"Skipping get tensor {name!r} in safetensors so that convert can end normally.")
-            return
+            return None
 
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # ref: https://github.com/huggingface/transformers/blob/fc37f38915372c15992b540dfcbbe00a916d4fc6/src/transformers/models/gemma/modeling_gemma.py#L89
         if name.endswith("norm.weight"):
             data_torch = data_torch + 1
@@ -6861,13 +7302,19 @@ def set_gguf_parameters(self):
         )
         self.gguf_writer.add_sliding_window(self.hparams["sliding_window"])
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # lm_head is not used in llama.cpp, while autoawq will include this tensor in model
         # To prevent errors, skip loading lm_head.weight.
         if name == "lm_head.weight":
             logger.debug(f"Skipping get tensor {name!r} in safetensors so that convert can end normally.")
-            return
+            return None
+
+        return super().filter_tensors(item)
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # ref: https://github.com/huggingface/transformers/blob/fc37f38915372c15992b540dfcbbe00a916d4fc6/src/transformers/models/gemma/modeling_gemma.py#L89
         if name.endswith("norm.weight"):
             data_torch = data_torch + 1
@@ -6909,13 +7356,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_head_count_kv(hparams.get("num_key_value_heads", 4))
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if "language_model." in name:
-            name = name.replace("language_model.", "")
-
-        elif name.startswith("multi_modal_projector.") or name.startswith("vision_tower.") \
-                or name.startswith("multimodal_projector.") or name.startswith("vision_model."):
-            return # skip vision tensors
-
         # remove OOV (out-of-vocabulary) rows in token_embd
         if "embed_tokens.weight" in name:
             n_vocab_real = -1
@@ -6953,7 +7393,7 @@ def __init__(self, *args, **kwargs):
                 with open(modules_file, encoding="utf-8") as modules_json_file:
                     mods = json.load(modules_json_file)
                 for mod in mods:
-                    if mod["type"] == "sentence_transformers.models.Dense":
+                    if mod["type"].endswith("Dense"):
                         mod_path = mod["path"]
                         # check if model.safetensors file for Dense layer exists
                         model_tensors_file = self.dir_model / mod_path / "model.safetensors"
@@ -7040,25 +7480,30 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if "vision_model.head." in name:
-            return # skip redundant tensors for tinygemma3
+            # skip redundant tensors for tinygemma3
+            return None
 
-        if name.startswith("multi_modal_projector.") or name.startswith("vision_tower.") \
-                or name.startswith("multimodal_projector.") or name.startswith("vision_model."):
-            # process vision tensors
-            name = name.replace("_weight", ".weight")
+        if not name.startswith(("multi_modal_projector.", "vision_tower.", "multimodal_projector.", "vision_model.")):
+            return None
 
-            # correct norm value ; only this "soft_emb_norm" need to be corrected as it's part of Gemma projector
-            # the other norm values are part of SigLIP model, and they are already correct
-            # ref code: Gemma3RMSNorm
-            if "soft_emb_norm.weight" in name:
-                logger.info(f"Correcting norm value for '{name}'")
-                data_torch = data_torch + 1
+        name = name.replace("_weight", ".weight")
 
-            yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
-        return # skip other tensors
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # correct norm value ; only this "soft_emb_norm" need to be corrected as it's part of Gemma projector
+        # the other norm values are part of SigLIP model, and they are already correct
+        # ref code: Gemma3RMSNorm
+        if "soft_emb_norm.weight" in name:
+            logger.info(f"Correcting norm value for '{name}'")
+            data_torch = data_torch + 1
+
+        yield from super().modify_tensors(data_torch, name, bid)
 
 
 class ConformerAudioModel(MmprojModel):
@@ -7162,17 +7607,20 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # Only process vision-related tensors, skip language model tensors
         # Vision components: sam_model, vision_model, projector, image_newline, view_seperator
         # Language model components to skip: lm_head, embed_tokens, layers, norm
         if name.startswith(("lm_head.", "model.embed_tokens.", "model.layers.", "model.norm.")):
-            return
+            return None
 
         if name.endswith("pos_embed") or name.endswith("rel_pos_h") or name.endswith("rel_pos_w"):
             name += ".weight"
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("Gemma3nForConditionalGeneration")
@@ -7365,14 +7813,17 @@ def _stack_matrices(self, matrices: list[Tensor]) -> Tensor | None:
         else:
             return torch.stack(matrices, dim=0)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.endswith("_scale"):
             name = name + ".weight"
 
-        # TODO: implement self.prediction_coefs.weight.clamp_(...)
+        return super().filter_tensors((name, gen))
 
-        if "language_model." not in name:
-            return # skip non-language model tensors
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # TODO: implement self.prediction_coefs.weight.clamp_(...)
 
         # Pad token embeddings for vision/audio special tokens (262144-262399)
         if "embed_tokens.weight" in name or "embed_tokens_per_layer" in name:
@@ -7393,7 +7844,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 data_torch = torch.cat([data_torch, padding], dim=0)
 
             # Continue with normal processing
-            name = name.replace("language_model.", "")
             yield from ModelBase.modify_tensors(self, data_torch, name, bid)
             return
 
@@ -7538,14 +7988,18 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
         rope_freqs_full = torch.tensor(values, dtype=torch.float32)
         yield (self.format_tensor_name(gguf.MODEL_TENSOR.ROPE_FREQS), rope_freqs_full)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.endswith("per_dim_scale") or name.endswith("layer_scalar"):
             name = name + ".weight"
+        if ".experts." in name and not name.endswith(".weight"):
+            name += ".weight"
 
-        if "language_model." not in name and "rope_freqs" not in name:
-            return # skip non-language model tensors
+        return super().filter_tensors((name, gen))
 
-        name = name.replace("language_model.", "")
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if name.endswith("router.scale"):
             name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_GATE_INP, bid, ".scale")
             yield (name, data_torch)
@@ -7555,8 +8009,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             name = self.format_tensor_name(gguf.MODEL_TENSOR.FFN_DOWN_EXP, bid, ".scale")
             yield (name, data_torch)
             return
-        if ".experts." in name and not name.endswith(".weight"):
-            name += ".weight"
 
         yield from super().modify_tensors(data_torch, name, bid)
 
@@ -7605,9 +8057,6 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         del bid # unused
 
-        if name.startswith("model.language_model."):
-            return # skip
-
         if len(data_torch.shape) == 0:
             # convert scalar tensors (input/output_mix/max) to 1D tensors
             data_torch = data_torch.unsqueeze(0)
@@ -7820,11 +8269,21 @@ def set_gguf_parameters(self):
     lerp_weights: dict[int, dict[str, Tensor]] = {}
     lora_needs_transpose: bool = True
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # unify tensor names here to make life easier
         name = name.replace("blocks", "layers").replace("ffn", "feed_forward")
         name = name.replace("self_attn", "attention").replace("attn", "attention")
         name = name.replace("time_mixer.", "")
+
+        name = name.replace("feed_forward_norm", "ln2")
+        name = name.replace("g_norm", "ln_x")
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # lora layer names in fla-hub's impl
         if "_lora.lora" in name:
             self.lora_needs_transpose = False
@@ -7832,9 +8291,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
         name = name.replace("_lora.lora.2.weight", "2.weight")
         name = name.replace("_lora.lora.2.bias", "0.weight")
 
-        name = name.replace("feed_forward_norm", "ln2")
-        name = name.replace("g_norm", "ln_x")
-
         if "attention.v" in name and "value" not in self.map_tensor_name(name) and bid == 0:
             # some models have dummy v0/v1/v2 on first layer while others don't
             # ignore them all since they are not used
@@ -8091,15 +8547,20 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_layer_norm_rms_eps(rms_norm_eps)
         self.gguf_writer.add_file_type(self.ftype)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
-        if name.startswith("model.backbone") or name.startswith("model.lm_head"):
+        if name.startswith(("model.backbone", "model.lm_head")):
             # map Mamba-Codestral-7B-v0.1 tensor names to the names used by Mamba-2
             name = name.removeprefix("model.")
 
         if name.endswith(".dt_bias"):
             name = name.rpartition(".dt_bias")[0] + ".dt_proj.bias"
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         new_name = self.map_tensor_name(name)
 
         if self.match_model_tensor_name(new_name, gguf.MODEL_TENSOR.SSM_CONV1D, bid):
@@ -8754,7 +9215,7 @@ def set_vocab(self):
             # Build merges list using the approach similar to HunYuanMoE
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.model._mergeable_ranks
+            mergeable_ranks = tokenizer.model._mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -8765,7 +9226,7 @@ def set_vocab(self):
 
             # Build token list
             vocab_size = self.hparams["vocab_size"]
-            special_tokens = tokenizer.special_tokens
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -8859,31 +9320,12 @@ def set_gguf_parameters(self):
     _experts: list[dict[str, Tensor]] | None = None
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # skip vision tensors and remove "language_model." for Kimi-VL and Kimi-K2.5, and DeepSeek-OCR
-        if ("vision_tower" in name
-                or "multi_modal_projector" in name
-                or "mm_projector" in name
-                or "vision_model" in name
-                or "image_newline" in name
-                or "model.projector" in name
-                or "sam_model" in name
-                or "view_seperator" in name):
-            return
-        if name.startswith("siglip2.") or name.startswith("merger."):
-            return
-        if name.startswith("language_model."):
-            name = name.replace("language_model.", "")
-
         # skip lm_head.weight if tie_word_embeddings is True
         if self.hparams.get("tie_word_embeddings", False):
             if name == "lm_head.weight" or name == "model.lm_head.weight":
                 logger.info("Skipping tied output layer 'lm_head.weight' (will use token_embd.weight)")
                 return
 
-        # rename e_score_correction_bias tensors
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-
         # skip Multi-Token Prediction (MTP) layers
         if self.skip_mtp:
             block_count = self.hparams["num_hidden_layers"]
@@ -8968,13 +9410,6 @@ def set_gguf_parameters(self):
                 self.gguf_writer.add_rope_scaling_yarn_log_mul(rope_params["mscale_all_dim"])
                 self.gguf_writer.add_attn_temperature_scale(rope_params["llama_4_scaling_beta"])
 
-        def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
-            name = name.replace("language_model.", "")
-            if "multi_modal_projector" in name or "vision_tower" in name:
-                return
-
-            yield from super().modify_tensors(data_torch, name, bid)
-
     class Mistral4Model(DeepseekV2Model):
         model_arch = gguf.MODEL_ARCH.MISTRAL4
         skip_mtp = False # model contains no MTP layers, so no need to skip
@@ -9026,9 +9461,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_rope_dimension_count(self.find_hparam(["rotary_dim"]))
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-
         # merge expert weights
         if 'experts' in name:
             n_experts = self.find_hparam(["num_local_experts", "num_experts"])
@@ -9061,10 +9493,126 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
         yield from super().modify_tensors(data_torch, name, bid)
 
 
-@ModelBase.register("MiMoV2FlashForCausalLM")
+@ModelBase.register("MiMoV2FlashForCausalLM", "MiMoV2ForCausalLM")
 class MimoV2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MIMO2
 
+    # MiMo V2-Flash, V2.5 and V2.5-Pro all ship 3 trained MTP layers under model.mtp.layers.{0,1,2}.
+    # The HF config does not expose the count, so it's hardcoded to match the count found in the safetensors.
+    _n_nextn = 3
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+        self.block_count = self.hparams["num_hidden_layers"] + self._n_nextn
+        self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)
+
+    @staticmethod
+    def _tp_aware_qkv_dequant(weight: Tensor, scale_inv: Tensor,
+                              n_q: int, n_kv: int, hd: int, vhd: int,
+                              bs: int = 128) -> Tensor:
+        # MiMo-V2.5 (TP=4) and V2.5-Pro (TP=8) ship qkv_proj sharded across TP
+        # ranks; per rank, rows are stacked as [Q_per | K_per | V_per].
+        # weight_scale_inv has ceil(rows_per_rank/bs) block-rows per rank (last
+        # may extend past rows_per_rank with phantom rows not in the weight).
+        # Naive repeat_interleave aligns rank 0 only and mis-applies scales to
+        # later ranks once rows_per_rank isn't a multiple of bs.
+        # Re-group the per-rank [Q_per|K_per|V_per] rows into a single fused
+        # [Q | K | V] tensor matching the un-sharded original layout.
+        q_size = n_q * hd
+        k_size = n_kv * hd
+        v_size = n_kv * vhd
+        total_rows = q_size + k_size + v_size
+        if weight.shape[0] != total_rows:
+            raise ValueError(f"qkv_proj weight rows {weight.shape[0]} != q+k+v {total_rows}")
+
+        # detect TP from scale_inv block count, descending order so larger matches first
+        tp = None
+        for cand in (8, 4):
+            if total_rows % cand != 0:
+                continue
+            rpr = total_rows // cand
+            bpr = (rpr + bs - 1) // bs
+            if scale_inv.shape[0] == cand * bpr:
+                tp = cand
+                break
+        if tp is None:
+            raise ValueError(
+                f"qkv_proj: cannot detect TP - scale_inv rows {scale_inv.shape[0]}, "
+                f"q+k+v {total_rows}")
+
+        q_per = q_size // tp
+        k_per = k_size // tp
+        v_per = v_size // tp
+        rows_per_rank = q_per + k_per + v_per
+        blocks_per_rank = (rows_per_rank + bs - 1) // bs
+
+        scale_inv = scale_inv.float()
+        # per-row scale-row index: rank * blocks_per_rank + (rr_in_rank // bs)
+        row_idx = torch.arange(total_rows)
+        rr = row_idx % rows_per_rank
+        rank = row_idx // rows_per_rank
+        scale_row_idx = rank * blocks_per_rank + (rr // bs)
+        # gather: (total_rows, n_col_blocks)
+        scale_per_row_block = scale_inv[scale_row_idx]
+        # expand col-blocks -> cols: each block-col covers `bs` weight cols
+        scale_full = scale_per_row_block.repeat_interleave(bs, dim=1)
+        # crop to weight col count (in case last col-block isn't full)
+        scale_full = scale_full[:, : weight.shape[1]]
+        dequant = weight.float() * scale_full
+
+        if tp == 1:
+            return dequant
+
+        # Re-group per-rank [Q_per|K_per|V_per] rows into unified [Q | K | V]
+        qs, ks, vs = [], [], []
+        for r in range(tp):
+            base = r * rows_per_rank
+            qs.append(dequant[base : base + q_per])
+            ks.append(dequant[base + q_per : base + q_per + k_per])
+            vs.append(dequant[base + q_per + k_per : base + rows_per_rank])
+        return torch.cat(qs + ks + vs, dim=0)
+
+    def dequant_model(self):
+        # Capture raw FP8 (weight, scale_inv) lambdas for qkv_proj BEFORE super
+        # rewrites them with the existing dequant. Replace super's lambda after
+        # it runs so scale_inv removal still happens via the standard path.
+        qkv_overrides: dict[str, tuple[Callable, Callable, int]] = {}
+        qc = self.hparams.get("quantization_config")
+        if isinstance(qc, dict) and qc.get("quant_method") == "fp8":
+            pat = re.compile(r"^model\.layers\.(\d+)\.self_attn\.qkv_proj\.weight_scale_inv$")
+            for name in list(self.model_tensors.keys()):
+                m = pat.match(name)
+                if not m:
+                    continue
+                weight_name = name.removesuffix("_scale_inv")
+                if weight_name not in self.model_tensors:
+                    continue
+                qkv_overrides[weight_name] = (
+                    self.model_tensors[weight_name],
+                    self.model_tensors[name],
+                    int(m.group(1)),
+                )
+
+        super().dequant_model()
+
+        if not qkv_overrides:
+            return
+
+        n_q = self.hparams["num_attention_heads"]
+        hd = self.hparams["head_dim"]
+        vhd = self.hparams["v_head_dim"]
+        hybrid = self.hparams["hybrid_layer_pattern"]
+        n_layer_text = self.hparams["num_hidden_layers"]
+        for weight_name, (w_fn, s_fn, bid) in qkv_overrides.items():
+            # MTP layers (bid >= n_layer_text) use SWA-style attention dims
+            is_swa = True if bid >= n_layer_text else hybrid[bid] == 1
+            n_kv = self.hparams["swa_num_key_value_heads" if is_swa else "num_key_value_heads"]
+            self.model_tensors[weight_name] = (
+                lambda w_fn=w_fn, s_fn=s_fn, n_q=n_q, n_kv=n_kv, hd=hd, vhd=vhd:
+                    MimoV2Model._tp_aware_qkv_dequant(w_fn(), s_fn(), n_q, n_kv, hd, vhd)
+            )
+
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
 
@@ -9075,11 +9623,14 @@ def set_gguf_parameters(self):
 
         n_head_kv = self.hparams["num_key_value_heads"]
         n_head_kv_swa = self.hparams["swa_num_key_value_heads"]
-        n_head_kv_arr = [n_head_kv_swa if use_swa == 1 else n_head_kv for use_swa in self.hparams["hybrid_layer_pattern"]]
+        # Extend the per-layer pattern with SWA entries for the MTP blocks so the
+        # runtime arrays (sized to extended block_count) are fully populated.
+        hybrid = list(self.hparams["hybrid_layer_pattern"]) + [1] * self._n_nextn
+        n_head_kv_arr = [n_head_kv_swa if use_swa == 1 else n_head_kv for use_swa in hybrid]
         self.gguf_writer.add_head_count_kv(n_head_kv_arr)
 
         self.gguf_writer.add_sliding_window(self.hparams["sliding_window"])
-        self.gguf_writer.add_sliding_window_pattern(self.hparams["hybrid_layer_pattern"])
+        self.gguf_writer.add_sliding_window_pattern(hybrid)
         self.gguf_writer.add_value_length(self.hparams["v_head_dim"])
         self.gguf_writer.add_expert_count(self.hparams["n_routed_experts"])
         self.gguf_writer.add_expert_feed_forward_length(self.hparams["moe_intermediate_size"])
@@ -9089,18 +9640,35 @@ def set_gguf_parameters(self):
 
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams.get("layernorm_epsilon", 1e-5))
 
+        v_scale = self.hparams.get("attention_value_scale")
+        if v_scale is not None:
+            self.gguf_writer.add_attn_value_scale(float(v_scale))
+
+        self.gguf_writer.add_nextn_predict_layers(self._n_nextn)
+
     _experts: list[dict[str, Tensor]] | None = None
 
-    def modify_tensors(self, data_torch, name, bid):
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
         if "attention_sink" in name and not name.endswith(".weight"):
             name += ".weight"
 
-        # TODO: mimo v2 does not indicate the number of next-token-prediction layers, therefore we cannot do the same way as GLM4_MOE
-        if "model.mtp." in name:
-            return
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch, name, bid):
+        # Remap MTP/NextN tensors to additional layer slots so the standard tensor map handles them.
+        # HF: model.mtp.layers.{i}.foo  ->  model.layers.{n_layer_text + i}.foo
+        m = re.match(r"^model\.mtp\.layers\.(\d+)\.(.*)$", name)
+        if m is not None:
+            mtp_idx = int(m.group(1))
+            assert mtp_idx < self._n_nextn, f"MTP layer index {mtp_idx} >= _n_nextn ({self._n_nextn})"
+            rest = m.group(2)
+            n_layer_text = self.hparams["num_hidden_layers"]
+            new_bid = n_layer_text + mtp_idx
+            name = f"model.layers.{new_bid}.{rest}"
+            bid = new_bid
 
         # process the experts separately
         if name.find("mlp.experts") != -1:
@@ -9211,6 +9779,16 @@ def set_gguf_parameters(self):
             limits_shared_f = [0.0 if v is None else float(v) for v in limits_shared[: self.block_count]]
             self.gguf_writer.add_swiglu_clamp_shexp(limits_shared_f)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # Map router bias (expert selection bias) to a GGUF bias tensor
+        if name.endswith(".moe.router_bias"):
+            name += ".bias"
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
         # remove mtp layers
         if (m := re.match(r"model\.layers\.(\d+)\.", name)) is not None:
@@ -9220,9 +9798,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
                 return
         if name.endswith("norm.weight"):
             data_torch += 1.0
-        # Map router bias (expert selection bias) to a GGUF bias tensor
-        if name.endswith(".moe.router_bias"):
-            name += ".bias"
 
         if name.endswith((".self_attn.g_proj.weight", ".moe.gate.weight", ".moe.up_proj.weight", ".moe.gate_proj.weight", ".moe.down_proj.weight")):
             data_torch = data_torch.squeeze().contiguous()
@@ -9322,8 +9897,6 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_expert_weights_norm(self.hparams["norm_topk_prob"])
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
         if "shared_experts" in name:
             yield from ModelBase.modify_tensors(self, data_torch, name, bid)
         else:
@@ -9680,11 +10253,17 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_layer_norm_eps(self.hparams["layer_norm_epsilon"])
         self.gguf_writer.add_file_type(self.ftype)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # we don't need these
         if name.endswith((".attn.bias")):
-            return
+            return None
+
+        return super().filter_tensors(item)
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if name.endswith(("relative_pe.slopes")):
             # Calculate max ALiBi bias (this is the inverse of the ALiBi calculation)
             # Some other models has max_alibi_bias spelled out explicitly in the hyperparams,
@@ -9736,10 +10315,10 @@ def set_vocab(self):
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
         special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def set_gguf_parameters(self):
@@ -9771,10 +10350,6 @@ def normal_to_neox(weights: Tensor, n_head: int, n_head_kv: int, head_dim: int,
         return result if len(orig_shape) != 1 else result.squeeze(1)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("model.visual."): # ignore visual part of Glm4v
-            return
-        elif name.startswith("model.language_model."):
-            name = name.replace("language_model.", "") # for Glm4v
         if self.use_mrope:
             n_head = self.hparams["num_attention_heads"]
             n_kv_head = self.hparams["num_key_value_heads"]
@@ -9860,14 +10435,7 @@ def set_gguf_parameters(self):
     _experts: list[dict[str, Tensor]] | None = None
 
     # note: unlike GLM4V non-MoE, we don't need to permute Q/K here since GLM4V_MOE uses Neox ordering already
-    def modify_tensors(
-        self, data_torch: Tensor, name: str, bid: int | None
-    ) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("model.visual."):  # ignore visual part
-            return
-        elif name.startswith("model.language_model."):
-            name = name.replace("language_model.", "")  # for multimodal variants
-
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # Handle main token embedding (but not layer-specific NextN embeddings)
         if name == "model.embed_tokens.weight" and ".layers." not in name:
             yield from super().modify_tensors(data_torch, "token_embd.weight", bid)
@@ -9902,9 +10470,6 @@ def modify_tensors(
             else:
                 return
 
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-
         yield from super().modify_tensors(data_torch, name, bid)
 
     def prepare_tensors(self):
@@ -9967,12 +10532,12 @@ def set_vocab_chatglm3(self):
 
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
-        vocab_size = hparams.get("padded_vocab_size", len(tokenizer.get_vocab()))
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        vocab_size = hparams.get("padded_vocab_size", len(tokenizer.get_vocab()))  # ty: ignore[unresolved-attribute]
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
         role_special_tokens = ["<|system|>", "<|user|>", "<|assistant|>", "<|observation|>"]
         special_tokens = ["[MASK]", "[gMASK]", "[sMASK]", "sop", "eop"] + role_special_tokens
         for token_id in range(vocab_size):
-            piece = tokenizer._convert_id_to_token(token_id)
+            piece = tokenizer._convert_id_to_token(token_id)  # ty: ignore[unresolved-attribute]
             if token_id == 0:
                 piece = "<unk>"
             elif token_id == 1:
@@ -9980,17 +10545,17 @@ def set_vocab_chatglm3(self):
             elif token_id == 2:
                 piece = "<eos>"
 
-            text = piece.encode("utf-8")
+            text = piece.encode("utf-8")  # ty: ignore[unresolved-attribute]
             score = 0.0
             # Referencing the tokenizer Python implementation(https://huggingface.co/THUDM/chatglm3-6b/blob/main/tokenization_chatglm.py),
             # it is only valid if it is less than tokenizer.tokenizer.sp_model.vocab_size()
-            if len(piece) != 0 and token_id < tokenizer.tokenizer.sp_model.vocab_size():
-                score = tokenizer.tokenizer.sp_model.get_score(token_id)
+            if len(piece) != 0 and token_id < tokenizer.tokenizer.sp_model.vocab_size():  # ty: ignore[unresolved-attribute, invalid-argument-type]
+                score = tokenizer.tokenizer.sp_model.get_score(token_id)  # ty: ignore[unresolved-attribute]
 
-            if token_id >= tokenizer.tokenizer.sp_model.vocab_size():
+            if token_id >= tokenizer.tokenizer.sp_model.vocab_size():  # ty: ignore[unresolved-attribute]
                 if piece in special_tokens:
                     toktype = SentencePieceTokenTypes.CONTROL
-                elif len(piece) == 0:
+                elif len(piece) == 0:  # ty: ignore[invalid-argument-type]
                     text = f"[PAD{token_id}]".encode("utf-8")
                     toktype = SentencePieceTokenTypes.UNUSED
                 else:
@@ -10001,13 +10566,13 @@ def set_vocab_chatglm3(self):
                 continue
 
             toktype = SentencePieceTokenTypes.NORMAL
-            if tokenizer.tokenizer.sp_model.is_unknown(token_id):
+            if tokenizer.tokenizer.sp_model.is_unknown(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.UNKNOWN
-            elif tokenizer.tokenizer.sp_model.is_control(token_id):
+            elif tokenizer.tokenizer.sp_model.is_control(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.CONTROL
-            elif tokenizer.tokenizer.sp_model.is_unused(token_id):
+            elif tokenizer.tokenizer.sp_model.is_unused(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.UNUSED
-            elif tokenizer.tokenizer.sp_model.is_byte(token_id):
+            elif tokenizer.tokenizer.sp_model.is_byte(token_id):  # ty: ignore[unresolved-attribute]
                 toktype = SentencePieceTokenTypes.BYTE
 
             tokens.append(text)
@@ -10027,7 +10592,7 @@ def set_vocab_chatglm3(self):
 
     @staticmethod
     def token_bytes_to_string(b):
-        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode
+        from transformers.models.gpt2.tokenization_gpt2 import bytes_to_unicode  # ty: ignore[unresolved-import]
         byte_encoder = bytes_to_unicode()
         return ''.join([byte_encoder[ord(char)] for char in b.decode('latin-1')])
 
@@ -10061,7 +10626,7 @@ def set_vocab(self):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
         vocab_size = hparams.get("padded_vocab_size",hparams["vocab_size"])
-        assert max(tokenizer.get_vocab().values()) < vocab_size
+        assert max(tokenizer.get_vocab().values()) < vocab_size  # ty: ignore[unresolved-attribute]
 
         tokens, toktypes, tokpre = self.get_vocab_base()
         self.gguf_writer.add_tokenizer_model("gpt2")
@@ -10070,10 +10635,10 @@ def set_vocab(self):
         self.gguf_writer.add_token_types(toktypes)
         special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
         # only add special tokens when they were not already loaded from config.json
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|user|>"])  # ty: ignore[unresolved-attribute]
         # this one is usually not in config.json anyway
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def set_gguf_parameters(self):
@@ -10101,12 +10666,16 @@ def set_gguf_parameters(self):
             rope_freq = rope_freq * self.hparams["rope_ratio"]
         self.gguf_writer.add_rope_freq_base(rope_freq)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.endswith(".rotary_pos_emb.inv_freq") or name.startswith("model.vision."):
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.endswith(".rotary_pos_emb.inv_freq"):
+            return None
 
         name = name.removeprefix("transformer.")
-        yield from super().modify_tensors(data_torch, name, bid)
+
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("NemotronForCausalLM")
@@ -10306,9 +10875,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                     yield from super().modify_tensors(data_torch, new_name.format(bid=bid), bid)
                 return
 
-        if name.endswith("e_score_correction_bias"):
-            name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-
         if name.find("mlp.experts") != -1:
             n_experts = self.find_hparam(["num_local_experts", "num_experts"])
             assert bid is not None
@@ -10350,7 +10916,7 @@ def prepare_tensors(self):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
-@ModelBase.register("GraniteForCausalLM")
+@ModelBase.register("GraniteForCausalLM", "GraniteSpeechForConditionalGeneration")
 class GraniteModel(LlamaModel):
     """Conversion for IBM's GraniteForCausalLM"""
     model_arch = gguf.MODEL_ARCH.GRANITE
@@ -10383,6 +10949,13 @@ def set_gguf_parameters(self):
             self.gguf_writer.add_logit_scale(logits_scale)
             logger.info("gguf: (granite) logits_scale = %s", logits_scale)
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+        if name.startswith("encoder."):
+            return None
+        return super().filter_tensors(item)
+
 
 @ModelBase.register("GraniteMoeForCausalLM", "GraniteMoeSharedForCausalLM")
 class GraniteMoeModel(GraniteModel):
@@ -10511,9 +11084,7 @@ def find_hparam(self, keys: Iterable[str], *args, **kwargs) -> Any:
         keys = list(keys) + prefixed
         return Mamba2Model.find_hparam(self, keys, *args, **kwargs)
 
-    def modify_tensors(
-        self, data_torch: Tensor, name: str, bid: int | None
-    ) -> Iterable[tuple[str, Tensor]]:
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if (
             name.endswith("block_sparse_moe.input_linear.weight")
             or "shared_mlp" in name
@@ -10589,7 +11160,11 @@ def __init__(self, *args, **kwargs):
         # uses self.model_arch to build the tensor name map, and all MoE-specific
         # mappings would be missed if it were called with the default non-MoE arch.
         hparams = ModelBase.load_hparams(args[0], self.is_mistral_format)
-        if "num_experts_per_tok" in hparams:
+        has_moe_params = (
+            "num_experts_per_tok" in hparams
+            or (isinstance(hparams.get("llm_config"), dict) and "num_experts_per_tok" in hparams["llm_config"])
+        )
+        if has_moe_params:
             self.model_arch = gguf.MODEL_ARCH.NEMOTRON_H_MOE
             self.is_moe = True
 
@@ -10666,7 +11241,64 @@ def set_gguf_parameters(self):
                 self.gguf_writer.add_moe_latent_size(latent_size)
 
     def set_vocab(self):
-        super().set_vocab()
+        # The NemotronH config uses pattern characters (e.g. '-') that may not
+        # be supported by the installed transformers version. AutoTokenizer
+        # internally calls AutoConfig which triggers this parsing failure.
+        # Using trust_remote_code=True to load the model's own config class.
+        tokens: list[str] = []
+        toktypes: list[int] = []
+
+        from transformers import AutoTokenizer
+        tokenizer = AutoTokenizer.from_pretrained(self.dir_model, trust_remote_code=True)
+
+        # Pad vocab size (from Mamba2Model/GraniteHybridModel)
+        self.hparams["pad_vocab_size_multiple"] = 8 # Setting this here since GraniteHybridModel.set_vocab() isn't being invoked now.
+        # From Mamba2Model.set_vocab():
+        vocab_size = self.hparams["vocab_size"]
+        pad_vocab = self.hparams.get("pad_vocab_size_multiple", 16)
+        # ref: https://stackoverflow.com/a/17511341/22827863
+        vocab_size = -(vocab_size // -pad_vocab) * pad_vocab
+        self.hparams["vocab_size"] = vocab_size
+
+        assert max(tokenizer.vocab.values()) < vocab_size  # ty: ignore[unresolved-attribute]
+
+        tokpre = self.get_vocab_base_pre(tokenizer)
+
+        reverse_vocab = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}  # ty: ignore[unresolved-attribute]
+        added_vocab = tokenizer.get_added_vocab()  # ty: ignore[unresolved-attribute]
+
+        added_tokens_decoder = tokenizer.added_tokens_decoder  # ty: ignore[unresolved-attribute]
+
+        for i in range(vocab_size):
+            if i not in reverse_vocab:
+                tokens.append(f"[PAD{i}]")
+                toktypes.append(gguf.TokenType.UNUSED)
+            else:
+                token: str = reverse_vocab[i]
+                if token in added_vocab:
+                    if not added_tokens_decoder[i].normalized:
+                        previous_token = token
+                        token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))  # ty: ignore[unresolved-attribute, invalid-assignment]
+                        if previous_token != token:
+                            logger.info(f"{repr(previous_token)} is encoded and decoded back to {repr(token)} using AutoTokenizer")
+
+                    if added_tokens_decoder[i].special or self.does_token_look_special(token):
+                        toktypes.append(gguf.TokenType.CONTROL)
+                    else:
+                        token = token.replace(b"\xe2\x96\x81".decode("utf-8"), " ")  # pre-normalize user-defined spaces
+                        toktypes.append(gguf.TokenType.USER_DEFINED)
+                else:
+                    toktypes.append(gguf.TokenType.NORMAL)
+                tokens.append(token)
+
+        # From TextModel.set_vocab_gpt2():
+        self.gguf_writer.add_tokenizer_model("gpt2")
+        self.gguf_writer.add_tokenizer_pre(tokpre)
+        self.gguf_writer.add_token_list(tokens)
+        self.gguf_writer.add_token_types(toktypes)
+
+        special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=True)
+        special_vocab.add_to_gguf(self.gguf_writer)
 
         # The tokenizer _does_ add a BOS token (via post_processor type
         # TemplateProcessing) but does not set add_bos_token to true in the
@@ -10675,14 +11307,6 @@ def set_vocab(self):
             self.gguf_writer.add_add_bos_token(True)
 
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Skip vision model and projector tensors for VLM models (handled by mmproj) (e.g., Nemotron Nano 12B v2 VL)
-        if name.startswith(("vision_model.", "mlp1.")):
-            return
-
-        # Strip language_model. prefix for VLM models (e.g., Nemotron Nano 12B v2 VL)
-        if name.startswith("language_model."):
-            name = name[len("language_model."):]
-
         if self.is_moe and bid is not None:
             # Skip Multi-Token Prediction (MTP) tensors. These are used for
             # for speculative decoding but we don't include them in this model
@@ -10691,9 +11315,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 logger.info(f"gguf: Skipping MTP (Speculative) layer: {name}")
                 return
 
-            if name.endswith("mixer.gate.e_score_correction_bias"):
-                new_name = name.replace("e_score_correction_bias", "e_score_correction.bias")
-                yield from ModelBase.modify_tensors(self, data_torch, new_name, bid)
+            if name.endswith("mixer.gate.e_score_correction.bias"):
+                yield from ModelBase.modify_tensors(self, data_torch, name, bid)
                 return
 
             if name.endswith("mixer.dt_bias"):
@@ -10896,6 +11519,15 @@ def set_gguf_parameters(self):
 
     _experts: list[dict[str, Tensor]] | None = None
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.endswith(".expert_bias"):
+            name = name.replace(".expert_bias", ".expert_bias.bias")
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if "mlp.experts" in name:
             n_experts = self.find_hparam(["num_local_experts", "num_experts"])
@@ -10923,9 +11555,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                     yield from super().modify_tensors(data_torch, merged_name, bid)
             return
 
-        if name.endswith(".expert_bias"):
-            name = name.replace(".expert_bias", ".expert_bias.bias")
-
         yield from super().modify_tensors(data_torch, name, bid)
 
     def prepare_tensors(self):
@@ -11048,12 +11677,18 @@ def set_gguf_parameters(self):
     def set_vocab(self):
         self._set_vocab_gpt2()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # ignore image tokenizer for now
-        # TODO: remove this once image support is implemented for Chameleon
+        # TODO: image support for Chameleon
         if name.startswith("model.vqmodel"):
-            return
+            return None
 
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         n_head = self.hparams["num_attention_heads"]
         n_kv_head = self.hparams.get("num_key_value_heads")
         hidden_dim = self.hparams.get("hidden_size")
@@ -11111,21 +11746,18 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F16
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("model.") or name.startswith("lm_head."):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.startswith(("model.", "lm_head.")):
             # skip language model tensors
-            return
+            return None
 
         if name.startswith("audio_encoder.whisper."):
             name = name.replace("audio_encoder.whisper.","audio_tower.")
         if "audio_encoder.layer_norm." in name or "audio_encoder.proj." in name:
             name = name.replace("audio_encoder.", "audio_encoder.adapting.")
-
-        if name.startswith("audio_encoder.audio_bos_eos_token."):
-            yield from super().modify_tensors(data_torch[0], "model.vision.boi", bid)
-            yield from super().modify_tensors(data_torch[1], "model.vision.eoi", bid)
-            return
-
         if name.startswith("audio_encoder.adapting."):
             name = name.replace("audio_encoder.adapting.","audio.multi_modal_projector.")
             if ".layer_norm." in name:
@@ -11134,6 +11766,16 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 name = name.replace(".0.", ".linear_1.")
             if ".2." in name:
                 name = name.replace(".2.", ".linear_2.")
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if name.startswith("audio_encoder.audio_bos_eos_token."):
+            yield from super().modify_tensors(data_torch[0], "model.vision.boi", bid)
+            yield from super().modify_tensors(data_torch[1], "model.vision.eoi", bid)
+            return
+
+        if name.startswith("audio_encoder.adapting."):
             if ".proj." in name:
                 return
 
@@ -11167,15 +11809,17 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
             return gguf.GGMLQuantizationType.F16
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if name.startswith("language_model."):
-            # skip language model tensors
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
         # prevent clash naming with vision tensors
         if name.startswith("multi_modal_projector"):
             name = "audio." + name
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if "conv1.bias" in name or "conv2.bias" in name:
             # transpose conv1 and conv2 bias
             data_torch = data_torch.unsqueeze(-1)
@@ -11194,6 +11838,52 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_audio_stack_factor(self.global_config["stack_factor"])
 
 
+@ModelBase.register("MERaLiON2ForConditionalGeneration")
+class MERaLiONWhisperEncoderModel(WhisperEncoderModel):
+    has_vision_encoder = False
+    has_audio_encoder = True
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        return self.global_config.get("speech_config")
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.MERALION)
+        self.gguf_writer.add_audio_stack_factor(self.global_config.get("speech_mlp_scale_factor", 15))
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.startswith("text_decoder."):
+            return None
+
+        if name.startswith("speech_encoder."):
+            name = name.replace("speech_encoder.", "audio_tower.")
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        suffix = "." + name.rsplit(".", 1)[-1]
+
+        if name.startswith("ln_speech."):
+            yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MM_NORM_PRE, suffix=suffix), data_torch)
+            return
+
+        if name.startswith("speech_audio_adapter."):
+            if ".mlp_adapter.0." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 0, suffix=suffix), data_torch)
+            elif ".gate_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 1, suffix=suffix), data_torch)
+            elif ".pool_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 2, suffix=suffix), data_torch)
+            elif ".out_proj." in name:
+                yield (self.format_tensor_name(gguf.MODEL_TENSOR.A_MMPROJ, 3, suffix=suffix), data_torch)
+            return
+
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 @ModelBase.register("VoxtralForConditionalGeneration")
 class VoxtralWhisperEncoderModel(WhisperEncoderModel):
     has_vision_encoder = False # no vision encoder
@@ -11339,7 +12029,7 @@ def set_vocab(self):
         # 2. Reverse-engineer the merges list from mergeable_ranks
         merges = []
         vocab = {}
-        mergeable_ranks = tokenizer.mergeable_ranks
+        mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
         for token, rank in mergeable_ranks.items():
             vocab[QwenModel.token_bytes_to_string(token)] = rank
             if len(token) == 1:
@@ -11350,8 +12040,8 @@ def set_vocab(self):
 
         # 3. Generate the tokens and toktypes lists
         vocab_size = self.hparams["vocab_size"]
-        assert tokenizer.vocab_size == vocab_size
-        special_tokens = tokenizer.special_tokens
+        assert tokenizer.vocab_size == vocab_size  # ty: ignore[unresolved-attribute]
+        special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
         reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
         tokens: list[str] = []
         toktypes: list[int] = []
@@ -11521,7 +12211,7 @@ def prepare_tensors(self):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
-@ModelBase.register("HunYuanDenseV1ForCausalLM", "HunYuanVLForConditionalGeneration")
+@ModelBase.register("HunYuanDenseV1ForCausalLM")
 class HunYuanModel(TextModel):
     model_arch = gguf.MODEL_ARCH.HUNYUAN_DENSE
 
@@ -11575,7 +12265,7 @@ def set_vocab(self):
             # 2. Reverse-engineer the merges list from mergeable_ranks
             merges = []
             vocab = {}
-            mergeable_ranks = tokenizer.mergeable_ranks
+            mergeable_ranks = tokenizer.mergeable_ranks  # ty: ignore[unresolved-attribute]
             for token, rank in mergeable_ranks.items():
                 vocab[QwenModel.token_bytes_to_string(token)] = rank
                 if len(token) == 1:
@@ -11586,8 +12276,8 @@ def set_vocab(self):
 
             # 3. Generate the tokens and toktypes lists
             vocab_size = self.hparams["vocab_size"]
-            assert tokenizer.vocab_size == vocab_size
-            special_tokens = tokenizer.special_tokens
+            assert tokenizer.vocab_size == vocab_size  # ty: ignore[unresolved-attribute]
+            special_tokens = tokenizer.special_tokens  # ty: ignore[unresolved-attribute]
             reverse_vocab = {id_ : encoded_tok for encoded_tok, id_ in {**vocab, **special_tokens}.items()}
             tokens: list[str] = []
             toktypes: list[int] = []
@@ -11652,36 +12342,69 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
                 logger.info("Skipping tied output layer 'lm_head.weight'")
                 return
 
-        # skip vision tensors for HunyuanVL models
-        if name.startswith("vit."):
-            return
-
         yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register("HunYuanVLForConditionalGeneration")
-class HunyuanOCRVisionModel(MmprojModel):
+class HunyuanVLVisionModel(MmprojModel):
+    # Handles both HunyuanOCR and HunyuanVL, which share the HF architecture name
+    # "HunYuanVLForConditionalGeneration" and the `vit.perceive.*` vision layout.
+    # Each variant maps to a different projector type in clip.cpp so image
+    # preprocessing follows the correct code path.
+
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         assert self.hparams_vision is not None
-        # HunyuanOCR uses max_image_size instead of image_size
+        # HunyuanOCR / HunyuanVL uses max_image_size instead of image_size
         if "image_size" not in self.hparams_vision:
             self.hparams_vision["image_size"] = self.hparams_vision.get("max_image_size", 2048)
 
+    @staticmethod
+    def is_ocr_variant(hparams: dict) -> bool:
+        """Return True for HunyuanOCR, False for HunyuanVL.
+
+        The projector's output dim must equal the text model's hidden_size by
+        construction (that's what "projector" means). HunyuanOCR pairs a 1B text
+        backbone (hidden=1024); HunyuanVL pairs a 4B one (hidden=3072). So the
+        ViT -> LLM projection dim is a hard architectural signature, not a
+        magic number.
+        """
+        vision_out = int((hparams.get("vision_config") or {}).get("out_hidden_size", 0))
+        return vision_out == 1024
+
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
         assert self.hparams_vision is not None
-        hparams = self.hparams_vision
-        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.HUNYUANOCR)
-        self.gguf_writer.add_vision_use_gelu(True)
-        self.gguf_writer.add_vision_attention_layernorm_eps(hparams.get("rms_norm_eps", 1e-5))
-        self.gguf_writer.add_vision_spatial_merge_size(hparams.get("spatial_merge_size", 2))
-        self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
-        self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
+        vcfg = self.hparams_vision
+
+        if self.is_ocr_variant(self.global_config):
+            # --- HunyuanOCR ---
+            self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.HUNYUANOCR)
+            self.gguf_writer.add_vision_use_gelu(True)
+            self.gguf_writer.add_vision_attention_layernorm_eps(vcfg.get("rms_norm_eps", 1e-5))
+            self.gguf_writer.add_vision_spatial_merge_size(vcfg.get("spatial_merge_size", 2))
+            self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
+            self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
+            return
+
+        # --- HunyuanVL ---
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.HUNYUANVL)
+        self.gguf_writer.add_vision_use_gelu(str(vcfg["hidden_act"]).lower() == "gelu")
+        self.gguf_writer.add_vision_attention_layernorm_eps(float(vcfg["rms_norm_eps"]))
+        self.gguf_writer.add_vision_spatial_merge_size(int(vcfg["spatial_merge_size"]))
+        self.gguf_writer.add_vision_min_pixels(int(self.preprocessor_config["min_pixels"]))
+        self.gguf_writer.add_vision_max_pixels(int(self.preprocessor_config["max_pixels"]))
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if not name.startswith("vit."):
-            return  # skip text tensors
+            return None
+
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # strip CLS token (row 0) from position embeddings so resize_position_embeddings works
         if "position_embedding" in name:
             data_torch = data_torch[1:]  # [n_patches+1, n_embd] -> [n_patches, n_embd]
@@ -11689,11 +12412,60 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
     def tensor_force_quant(self, name, new_name, bid, n_dims):
         # force conv weights to F32 or F16 to avoid BF16 IM2COL issues on Metal
+        # Both HunyuanOCR and HunyuanVL emit the ViT -> LLM projection as mm.0/mm.2.
         if ("mm.0." in new_name or "mm.2." in new_name) and new_name.endswith(".weight"):
             return gguf.GGMLQuantizationType.F16 if self.ftype == gguf.LlamaFileType.MOSTLY_F16 else gguf.GGMLQuantizationType.F32
         return super().tensor_force_quant(name, new_name, bid, n_dims)
 
 
+@ModelBase.register("HunYuanVLForConditionalGeneration")
+class HunyuanVLTextModel(HunYuanModel):
+    # The "HunYuanVLForConditionalGeneration" HF architecture covers both HunyuanOCR
+    # and HunyuanVL. HunyuanOCR reuses the HunYuan-Dense text backbone (standard RoPE),
+    # while HunyuanVL introduces a new LLM arch with XD-RoPE. Detect the variant from
+    # the config and pick the matching GGUF architecture.
+    model_arch = gguf.MODEL_ARCH.HUNYUAN_VL
+
+    @staticmethod
+    def _is_ocr_config(hparams: dict) -> bool:
+        # OCR pairs a 1B text backbone (hidden=1024) with a ViT projector that
+        # outputs 1024-d; HunyuanVL uses 3072-d. Keep in sync with
+        # HunyuanVLVisionModel.is_ocr_variant.
+        return int((hparams.get("vision_config") or {}).get("out_hidden_size", 0)) == 1024
+
+    def __init__(self, dir_model: Path, *args, **kwargs):
+        raw_hparams = kwargs.get("hparams") or ModelBase.load_hparams(dir_model, is_mistral_format=False)
+        if self._is_ocr_config(raw_hparams):
+            self.model_arch = gguf.MODEL_ARCH.HUNYUAN_DENSE
+        else:
+            self.model_arch = gguf.MODEL_ARCH.HUNYUAN_VL
+        super().__init__(dir_model, *args, **kwargs)
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+
+        # Only emit XD-RoPE metadata for the HunyuanVL backbone; HunyuanOCR uses
+        # the HunYuan-Dense arch which already handles standard rope in super().
+        if self.model_arch != gguf.MODEL_ARCH.HUNYUAN_VL:
+            return
+
+        if self.rope_parameters.get("rope_type") != "xdrope":
+            return
+
+        # defaults for HunyuanVL. The C++ side later computes:
+        #   freq_base = rope_theta * alpha ** (head_dim / (head_dim - 2))
+        self.gguf_writer.add_rope_freq_base(float(self.rope_parameters["rope_theta"]))
+        self.gguf_writer.add_rope_scaling_alpha(float(self.rope_parameters["alpha"]))
+        self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
+        self.gguf_writer.add_rope_scaling_factor(float(self.rope_parameters.get("factor", 1)))
+
+        ctx_len = int(self.hparams["max_position_embeddings"])
+        self.gguf_writer.add_rope_scaling_orig_ctx_len(ctx_len)
+        self.gguf_writer.add_context_length(ctx_len)
+
+        self.gguf_writer.add_rope_dimension_sections(list(self.rope_parameters["xdrope_section"]))
+
+
 @ModelBase.register("SmolLM3ForCausalLM")
 class SmolLM3Model(LlamaModel):
     model_arch = gguf.MODEL_ARCH.SMOLLM3
@@ -11769,10 +12541,16 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
                 self.repack_mxfp4(new_name_up, blocks1, scales1)
         return []
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if "sinks" in name:
             name += ".weight"
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # correct naming for down_proj
         if "down_proj" in name:
             if name.endswith("_bias"):
@@ -11845,23 +12623,25 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_layer_norm_rms_eps(self.hparams["norm_eps"])
         self._add_feed_forward_length()
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        if self._is_vision_tensor(name) or ConformerAudioModel.is_audio_tensor(name):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if ConformerAudioModel.is_audio_tensor(name):
             # skip multimodal tensors
-            return
+            return None
 
-        name = name.replace("language_model.", "") # vision
         name = name.replace("lfm.", "model.")      # audio
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # conv op requires 2d tensor
         if 'conv.conv' in name:
             data_torch = data_torch.squeeze(1)
 
         yield from super().modify_tensors(data_torch, name, bid)
 
-    def _is_vision_tensor(self, name: str) -> bool:
-        return "vision_tower" in name or "multi_modal_projector" in name
-
 
 @ModelBase.register("Lfm2Model")
 class LFM2ColBertModel(LFM2Model):
@@ -11907,14 +12687,20 @@ def set_gguf_parameters(self):
     # cache for experts weights for merging
     _experts_cache: dict[int, dict[str, Tensor]] = {}
 
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if name.endswith(".expert_bias"):
+            name = name.replace(".expert_bias", ".expert_bias.bias")
+
+        return super().filter_tensors((name, gen))
+
     def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # conv op requires 2d tensor
         if 'conv.conv' in name:
             data_torch = data_torch.squeeze(1)
 
-        if name.endswith(".expert_bias"):
-            name = name.replace(".expert_bias", ".expert_bias.bias")
-
         # merge expert weights
         if 'experts' in name:
             n_experts = self.find_hparam(["num_local_experts", "num_experts"])
@@ -11969,21 +12755,20 @@ def set_gguf_parameters(self):
         vision_feature_layers_to_drop = -(self.global_config.get("vision_feature_layer", -1) + 1)
         self.gguf_writer.add_vision_block_count(self.find_vparam(self.n_block_keys) - vision_feature_layers_to_drop)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        is_vision_tensor = "vision_tower" in name or "multi_modal_projector" in name
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
-        if is_vision_tensor:
-            # remove "model." prefix
-            name = name.replace("model.vision_tower.", "vision_tower.")
-            name = name.replace("model.multi_modal_projector.", "multi_modal_projector.")
+        name = name.replace("model.vision_tower.", "vision_tower.")
+        name = name.replace("model.multi_modal_projector.", "multi_modal_projector.")
 
-            if "patch_embedding.weight" in name:
-                data_torch = data_torch.view(data_torch.shape[0], 16, 16, 3).permute(0, 3, 1, 2)
+        return super().filter_tensors((name, gen))
 
-            yield from super().modify_tensors(data_torch, name, bid)
-            return
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "patch_embedding.weight" in name:
+            data_torch = data_torch.view(data_torch.shape[0], 16, 16, 3).permute(0, 3, 1, 2)
 
-        return # skip other tensors
+        yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register("Lfm2AudioForConditionalGeneration")
@@ -12005,19 +12790,105 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_audio_num_mel_bins(self.hparams_audio["feat_in"])
         self.gguf_writer.add_audio_attention_layernorm_eps(1e-5)
 
-    def modify_tensors(self, data_torch, name, bid):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # skip language model tensors
         if name.startswith("lfm."):
-            return
+            return None
 
         # for training only
         if any(p in name for p in ["audio_loss_weight"]):
-            return
+            return None
 
         # for audio output
         if any(p in name for p in ["codebook_offsets", "depth_embeddings", "depth_linear", "depthformer"]):
+            return None
+
+        return super().filter_tensors(item)
+
+
+@ModelBase.register("GraniteSpeechForConditionalGeneration")
+class GraniteSpeechMmprojModel(MmprojModel):
+    has_vision_encoder = False
+    has_audio_encoder = True
+
+    _batch_norm_tensors: list[dict[str, Tensor]] | None = None
+
+    def get_audio_config(self) -> dict[str, Any] | None:
+        return self.global_config.get("encoder_config")
+
+    def set_gguf_parameters(self):
+        assert self.hparams_audio is not None
+        a = self.hparams_audio
+        a["hidden_size"] = a["hidden_dim"]
+        a["intermediate_size"] = a["hidden_dim"] * a["feedforward_mult"]
+        a["num_attention_heads"] = a["num_heads"]
+        a["num_hidden_layers"] = a["num_layers"]
+
+        super().set_gguf_parameters()
+
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.GRANITE_SPEECH)
+        self.gguf_writer.add_audio_num_mel_bins(a["input_dim"])
+        self.gguf_writer.add_audio_attention_layernorm_eps(1e-5)
+        self.gguf_writer.add_audio_chunk_size(a["context_size"])
+        self.gguf_writer.add_audio_conv_kernel_size(a["conv_kernel_size"])
+        self.gguf_writer.add_audio_max_pos_emb(a["max_pos_emb"])
+
+        p = self.global_config
+        self.gguf_writer.add_audio_projector_window_size(p["window_size"])
+        self.gguf_writer.add_audio_projector_downsample_rate(p["downsample_rate"])
+        self.gguf_writer.add_audio_projector_head_count(p["projector_config"]["num_attention_heads"])
+
+    def tensor_force_quant(self, name, new_name, bid, n_dims):
+        if "encoder" in name or "projector" in name:
+            if ".conv" in name and ".weight" in name:
+                return gguf.GGMLQuantizationType.F32
+        return super().tensor_force_quant(name, new_name, bid, n_dims)
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+        if "attention_dists" in name or "num_batches_tracked" in name:
+            return None
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        # fold running_mean, running_var and eps into weight and bias for batch_norm
+        if "batch_norm" in name and "encoder.layers." in name:
+            if self._batch_norm_tensors is None:
+                self._batch_norm_tensors = [{} for _ in range(self.block_count)]
+            assert bid is not None
+            self._batch_norm_tensors[bid][name] = data_torch
+            if len(self._batch_norm_tensors[bid]) < 4:
+                return
+            prefix = f"encoder.layers.{bid}.conv.batch_norm"
+            weight = self._batch_norm_tensors[bid][f"{prefix}.weight"]
+            bias = self._batch_norm_tensors[bid][f"{prefix}.bias"]
+            running_mean = self._batch_norm_tensors[bid][f"{prefix}.running_mean"]
+            running_var = self._batch_norm_tensors[bid][f"{prefix}.running_var"]
+            eps = 1e-5
+            a = weight / torch.sqrt(running_var + eps)
+            b = bias - running_mean * a
+            yield from super().modify_tensors(a, f"encoder.layers.{bid}.conv.batch_norm.weight", bid)
+            yield from super().modify_tensors(b, f"encoder.layers.{bid}.conv.batch_norm.bias", bid)
             return
 
+        if ".attn.to_kv.weight" in name:
+            k_weight, v_weight = data_torch.chunk(2, dim=0)
+            yield from super().modify_tensors(k_weight, name.replace("to_kv", "to_k"), bid)
+            yield from super().modify_tensors(v_weight, name.replace("to_kv", "to_v"), bid)
+            return
+
+        if ("up_conv" in name or "down_conv" in name) and name.endswith(".weight"):
+            if data_torch.ndim == 3 and data_torch.shape[2] == 1:
+                data_torch = data_torch.squeeze(2)
+
+        if "depth_conv" in name and name.endswith(".weight"):
+            if data_torch.ndim == 3 and data_torch.shape[1] == 1:
+                data_torch = data_torch.squeeze(1)
+
         yield from super().modify_tensors(data_torch, name, bid)
 
 
@@ -12033,14 +12904,18 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_sliding_window(self.hparams["sliding_window"])
         self.gguf_writer.add_embedding_length_out(self.hparams["output_size"])
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        # skip language model tensors
         if name == "istft.window" or name.startswith("emb.emb"):
-            return
+            return None
 
         if name.startswith("lin"):
             name = name.replace("lin", "dense_2_out")
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("SmallThinkerForCausalLM")
@@ -12133,10 +13008,16 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.NONE)
         self.gguf_writer.add_vocab_size(self.hparams["vocab_size"])
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if name.startswith("model."):
             name = name[6:]
 
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         if self.cls_out_labels:
             # For BertForSequenceClassification (direct projection layer)
             if name == "classifier.weight":
@@ -12261,11 +13142,12 @@ def set_gguf_parameters(self):
     def set_mistral_config(gguf_writer: gguf.GGUFWriter, hparams: dict):
         if "yarn" in hparams:
             yarn_params = hparams["yarn"]
+            mscale_all_dim = 1.0 if not yarn_params["apply_scale"] else 0.0
             gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.YARN)
             gguf_writer.add_rope_scaling_factor(yarn_params["factor"])
             gguf_writer.add_rope_scaling_yarn_beta_fast(yarn_params["beta"])
             gguf_writer.add_rope_scaling_yarn_beta_slow(yarn_params["alpha"])
-            gguf_writer.add_rope_scaling_yarn_log_mul(1.0) # mscale_all_dim
+            gguf_writer.add_rope_scaling_yarn_log_mul(mscale_all_dim)
             gguf_writer.add_rope_scaling_orig_ctx_len(yarn_params["original_max_position_embeddings"])
 
         if "llama_4_scaling" in hparams:
@@ -12343,9 +13225,9 @@ def set_gguf_parameters(self):
         # ref https://github.com/ggml-org/llama.cpp/pull/17945
         self.gguf_writer.add_rope_scaling_yarn_log_mul(0.1) # mscale_all_dim * 0.1
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
-        if name.startswith("vision_") or name.startswith("patch_merger.") or "mm_projector" in name:
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
         # rename certain tensors so that we can reuse DeepseekV2Model modify_tensors logic
         if name.endswith(".qscale_act"):
@@ -12361,7 +13243,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
             name = name.replace(".w3.", ".up_proj.")
             name = "model." + name
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors((name, gen))
 
 
 class PixtralModel(LlavaVisionModel):
@@ -12403,10 +13285,14 @@ def set_gguf_parameters(self):
         super().set_gguf_parameters()
         self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.LIGHTONOCR)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         name = name.replace("model.vision_encoder.", "vision_tower.")
         name = name.replace("model.vision_projection.", "multi_modal_projector.")
-        yield from super().modify_tensors(data_torch, name, bid)
+
+        return super().filter_tensors((name, gen))
 
 
 @ModelBase.register("KimiVLForConditionalGeneration")
@@ -12425,21 +13311,29 @@ def set_gguf_parameters(self):
         assert self.hparams_vision is not None
         self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams_vision.get("layer_norm_eps", 1e-5))
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         is_vision_tensor = "vision_tower" in name or "multi_modal_projector" in name
 
-        if is_vision_tensor:
-            if "pos_emb.weight" in name:
-                data_torch = data_torch.view(data_torch.shape[0] * data_torch.shape[1], data_torch.shape[2])
+        if not is_vision_tensor:
+            return None
 
-            if "wqkv" in name:
-                split_dim = 0 if "weight" in name else -1
-                wq, wk, wv = data_torch.chunk(3, dim=split_dim)
-                yield from super().modify_tensors(wq, name.replace("wqkv", "wq"), bid)
-                yield from super().modify_tensors(wk, name.replace("wqkv", "wk"), bid)
-                yield from super().modify_tensors(wv, name.replace("wqkv", "wv"), bid)
-            else:
-                yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        if "pos_emb.weight" in name:
+            data_torch = data_torch.view(data_torch.shape[0] * data_torch.shape[1], data_torch.shape[2])
+
+        if "wqkv" in name:
+            split_dim = 0 if "weight" in name else -1
+            wq, wk, wv = data_torch.chunk(3, dim=split_dim)
+            yield from super().modify_tensors(wq, name.replace("wqkv", "wq"), bid)
+            yield from super().modify_tensors(wk, name.replace("wqkv", "wk"), bid)
+            yield from super().modify_tensors(wv, name.replace("wqkv", "wv"), bid)
+        else:
+            yield from super().modify_tensors(data_torch, name, bid)
 
 
 @ModelBase.register("KimiK25ForConditionalGeneration")
@@ -12495,13 +13389,19 @@ def permute(weights: Tensor, n_head: int) -> Tensor:
         w = w.permute(0, 2, 1, 3, 4)
         return w.reshape(out_dim, in_dim)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # Only process vision and projector tensors
         is_vision = any(x in name for x in ["vision_tower", "mm_projector"])
 
         if not is_vision:
-            return
+            return None
 
+        return super().filter_tensors(item)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         assert self.hparams_vision is not None
         n_head = self.hparams_vision.get("num_attention_heads", 16)
 
@@ -12547,30 +13447,29 @@ def set_gguf_parameters(self):
         self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6))
         self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.COGVLM)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         if not name.startswith("model.vision."):
-            return
+            return None
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors(item)
 
 
 @ModelBase.register("CogVLMForCausalLM")
 class CogVLMModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.COGVLM
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # block vision tensors
-        if name.startswith("model.vision."):
-            return
-
-        yield from ModelBase.modify_tensors(self, data_torch, name, bid)
-
 
 @ModelBase.register("JanusForConditionalGeneration")
 class JanusProModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.LLAMA  # reuse Llama arch
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # Skip vision, aligner, and generation tensors
         skip_prefixes = (
             'model.vision_model.',
@@ -12581,14 +13480,9 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             'model.generation_head.',
         )
         if name.startswith(skip_prefixes):
-            return
-
-        if name.startswith('model.language_model.'):
-            name = name.replace('model.language_model.', 'model.')
-        elif name.startswith('language_model.'):
-            name = name.replace('language_model.', '')
+            return None
 
-        yield from super().modify_tensors(data_torch, name, bid)
+        return super().filter_tensors(item)
 
 
 @ModelBase.register("JanusForConditionalGeneration")
@@ -12640,10 +13534,9 @@ def _map_aligner_tensor(self, data_torch: Tensor, name: str) -> Iterable[tuple[s
         tensor_name = self.format_tensor_name(gguf.MODEL_TENSOR.V_MMPROJ, mm_index, suffix=suffix)
         return [(tensor_name, data_torch)]
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
-        # Skip language model tensors as they will be handled by `JanusProModel`
-        if name.startswith(('model.language_model.', 'language_model.')):
-            return
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
 
         # Skip generation-related components
         skip_generation_prefixes = (
@@ -12657,8 +13550,11 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
             'generation_head.',
         )
         if name.startswith(skip_generation_prefixes):
-            return
+            return None
+
+        return super().filter_tensors(item)
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # Handle aligner tensors
         if name.startswith(('model.aligner.', 'aligner.')):
             yield from self._map_aligner_tensor(data_torch, name)
@@ -12707,12 +13603,18 @@ def set_gguf_parameters(self):
         # Store the explicit layer indices for YoutuVL (irregular pattern approach)
         self.gguf_writer.add_vision_wa_layer_indexes(layers=fullatt_block_indexes)
 
-    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
         # Skip language model tensors
         skip_prefixes = ('lm_head.', 'model.layers.', 'model.embed_tokens.', 'model.norm.')
         if name.startswith(skip_prefixes):
-            return
+            return None
+
+        return super().filter_tensors(item)
 
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
         # Try to map the tensor using TensorNameMap (handles vision encoder and projector)
         try:
             yield from super().modify_tensors(data_torch, name, bid)
@@ -12735,13 +13637,53 @@ def set_vocab(self):
         self.gguf_writer.add_tokenizer_pre(tokpre)
         self.gguf_writer.add_token_list(tokens)
         self.gguf_writer.add_token_types(toktypes)
-        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|endoftext|>"])
-        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<unk>"])
-        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|startoftext|>"])
+        special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("eot", tokenizer.get_added_vocab()["<|endoftext|>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<unk>"])  # ty: ignore[unresolved-attribute]
+        special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|startoftext|>"])  # ty: ignore[unresolved-attribute]
         special_vocab.add_to_gguf(self.gguf_writer)
 
 
+@ModelBase.register("DotsOCRForCausalLM")
+class DotsOCRVisionModel(MmprojModel):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        assert self.hparams_vision is not None
+        self.hparams_vision["image_size"] = 0 # dynamic resolution
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.DOTSOCR)
+        self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
+        self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
+        self.gguf_writer.add_vision_attention_layernorm_eps(self.find_vparam(["rms_norm_eps"]))
+        self.gguf_writer.add_vision_projector_scale_factor(self.find_vparam(["spatial_merge_size"]))
+        self.gguf_writer.add_vision_use_silu(True)
+
+    @classmethod
+    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
+        name, gen = item
+
+        if not name.startswith("vision_tower."):
+            return None
+
+        if "vision_tower.blocks." in name and ".mlp." in name:
+            # note: to avoid naming conflicts in tensor_mapping.py, we need to handle FFN renaming here
+            # x = F.silu(self.fc1(x)) * self.fc3(x)
+            # x = self.fc2(x)
+            # fc1 -> gate, fc2 -> down, fc3 -> up
+            # mapping original names to Qwen2.5 naming scheme
+            name = name.replace("vision_tower.blocks.", "visual.blocks.")
+            name = name.replace(".fc1", ".gate_proj")
+            name = name.replace(".fc2", ".down_proj")
+            name = name.replace(".fc3", ".up_proj")
+
+        return super().filter_tensors((name, gen))
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        yield from super().modify_tensors(data_torch, name, bid)
+
+
 ###### CONVERSION LOGIC ######
 
 
@@ -12760,17 +13702,18 @@ class LazyTorchTensor(gguf.LazyBase):
     }
 
     # only used when byteswapping data. Only correct size is needed
+    # TODO: uncomment uint64, uint32, and uint16, ref: https://github.com/pytorch/pytorch/issues/58734
     _dtype_byteswap_map: dict[torch.dtype, type] = {
         torch.float64: np.float64,
         torch.float32: np.float32,
         torch.bfloat16: np.float16,
         torch.float16: np.float16,
         torch.int64: np.int64,
-        torch.uint64: np.uint64,
+        # torch.uint64: np.uint64,
         torch.int32: np.int32,
-        torch.uint32: np.uint32,
+        # torch.uint32: np.uint32,
         torch.int16: np.int16,
-        torch.uint16: np.uint16,
+        # torch.uint16: np.uint16,
         torch.int8: np.int8,
         torch.uint8: np.uint8,
         torch.bool: np.uint8,
@@ -12994,6 +13937,12 @@ def get_model_architecture(hparams: dict[str, Any], model_type: ModelType) -> st
         # For non-hf Mamba and Mamba2 models
         arch = hparams["ssm_cfg"].get("layer", "Mamba") + "ForCausalLM"
 
+    # Step3-VL keeps text config under text_config but uses a custom top-level architecture.
+    # For text conversion we route to a dedicated text-only class.
+    # TODO: refactor this later to avoid adding exception here
+    if model_type == ModelType.TEXT and arch == "StepVLForConditionalGeneration":
+        return arch
+
     # if "architectures" is found in the sub-config, use that instead
     if model_type == ModelType.TEXT and text_config.get("architectures") is not None:
         arch = text_config["architectures"][0]
diff --git a/convert_hf_to_gguf_update.py b/convert_hf_to_gguf_update.py
index 086f1c228..6e6cd0579 100755
--- a/convert_hf_to_gguf_update.py
+++ b/convert_hf_to_gguf_update.py
@@ -175,6 +175,7 @@ class TOKENIZER_TYPE(IntEnum):
     {"name": "falcon-h1", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/tiiuae/Falcon-H1-34B-Base", "chkhsh": "48f8e02c0359c0bbdd82f26909171fac1c18a457bb47573ed1fe3bbb2c1cfd4b"},
     {"name": "kimi-k2",   "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/moonshotai/Kimi-K2-Base",   "chkhsh": "81212dc7cdb7e0c1074ca62c5aeab0d43c9f52b8a737be7b12a777c953027890"},
     {"name": "qwen2",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", "chkhsh": "d4540891389ea895b53b399da6ac824becc30f2fba0e9ddbb98f92e55ca0e97c"},
+    {"name": "qwen35",    "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openbmb/MiniCPM-V-4_6", "chkhsh": "1444df51289cfa8063b96f0e62b1125440111bc79a52003ea14b6eac7016fd5f"},
     {"name": "grok-2",    "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"},
     # jina-v2-de variants
     {"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/aari1995/German_Semantic_V3", "chkhsh": "b3d1dd861f1d4c5c0d2569ce36baf3f90fe8a102db3de50dd71ff860d91be3df"},
@@ -296,7 +297,7 @@ def get_existing_models(convert_py):
         except Exception as e:
             raise OSError(f"Error loading tokenizer for model {name}.") from e
 
-        chktok = tokenizer.encode(CHK_TXT)
+        chktok = tokenizer.encode(CHK_TXT)  # ty: ignore[unresolved-attribute]
         chkhsh = sha256(str(chktok).encode()).hexdigest()
 
         logger.info(f"model: {name}")
@@ -468,7 +469,7 @@ def get_vocab_base_pre(self, tokenizer) -> str:
 
     with open(f"models/ggml-vocab-{name}.gguf.out", "w") as f:
         for text in tests:
-            res = tokenizer.encode(text, add_special_tokens=False)
+            res = tokenizer.encode(text, add_special_tokens=False)  # ty: ignore[unresolved-attribute]
             for r in res:
                 f.write(f" {r}")
             f.write("\n")
diff --git a/convert_lora_to_gguf.py b/convert_lora_to_gguf.py
index ee98d0cf9..d58334205 100755
--- a/convert_lora_to_gguf.py
+++ b/convert_lora_to_gguf.py
@@ -402,7 +402,7 @@ def set_gguf_parameters(self):
                     # the invocation string includes the "<|start_of_turn|>"
                     # token, but the adapters themselves were trained to
                     # activate _after_ that first token, so we drop it here.
-                    alora_invocation_tokens = tokenizer(invocation_string)["input_ids"][1:]
+                    alora_invocation_tokens = tokenizer(invocation_string)["input_ids"][1:]  # ty: ignore[call-non-callable]
                 if alora_invocation_tokens:
                     logger.debug("GGUF KV: %s = %s", gguf.Keys.Adapter.ALORA_INVOCATION_TOKENS, alora_invocation_tokens)
                     self.gguf_writer.add_key_value(
diff --git a/docs/backend/OPENVINO.md b/docs/backend/OPENVINO.md
index 06760c456..c9c005a99 100644
--- a/docs/backend/OPENVINO.md
+++ b/docs/backend/OPENVINO.md
@@ -3,7 +3,7 @@
 > [!NOTE]
 > Performance and memory optimizations, accuracy validation, broader quantization coverage, broader operator and model support are work in progress.
 
-[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware, including CPUs, GPUs, and NPUs, in the cloud, on-premises, and on the edge. [OpenVINO backend for llama.cpp](../../src/ggml-openvino) enables hardware-accelerated inference on **Intel® CPUs, GPUs, and NPUs** while remaining compatible with the existing **GGUF model ecosystem**. The backend translates GGML compute graphs into OpenVINO graphs and leverages graph compilation, kernel fusion, and device-specific optimizations to improve inference performance on supported Intel hardware.
+[OpenVINO](https://docs.openvino.ai/) is an open-source toolkit for optimizing and deploying high-performance AI inference, specifically designed for Intel hardware, including CPUs, GPUs, and NPUs, in the cloud, on-premises, and on the edge. [OpenVINO backend for llama.cpp](../../ggml/src/ggml-openvino) enables hardware-accelerated inference on **Intel® CPUs, GPUs, and NPUs** while remaining compatible with the existing **GGUF model ecosystem**. The backend translates GGML compute graphs into OpenVINO graphs and leverages graph compilation, kernel fusion, and device-specific optimizations to improve inference performance on supported Intel hardware.
 
 The OpenVINO backend is implemented in `ggml/src/ggml-openvino` and provides a translation layer for core GGML operations. The OpenVINO backend replaces the standard GGML graph execution path with Intel's OpenVINO inference engine. This approach allows the same GGUF model file to run on Intel CPUs, Intel GPUs (integrated and discrete), and Intel NPUs without changes to the model or the rest of the llama.cpp stack. When a `ggml_cgraph` is dispatched to OpenVINO backend, it:
 
@@ -244,7 +244,6 @@ build\ReleaseOV\bin\llama-cli.exe -m "C:\models\Llama-3.2-1B-Instruct-Q4_0.gguf"
 - `-fa 1` is required when running llama-bench with the OpenVINO backend.
   - `GGML_OPENVINO_STATEFUL_EXECUTION=1 GGML_OPENVINO_DEVICE=GPU ./llama-bench -fa 1`
 - `llama-server` with OpenVINO backend supports only one chat session/thread, when `GGML_OPENVINO_STATEFUL_EXECUTION=1` is enabled.
-- For Intel GPU, NPU detection in containers, GPU, NPU user-space drivers/libraries must be present inside the image. We will include in a future PR. Until then, you can use this reference Dockerfile: [openvino.Dockerfile](https://github.com/ravi9/llama.cpp/blob/ov-docker-update/.devops/openvino.Dockerfile)
 
 > [!NOTE]
 > The OpenVINO backend is actively under development. Fixes are underway, and this document will continue to be updated as issues are resolved.
@@ -274,8 +273,6 @@ docker build --build-arg http_proxy=$http_proxy --build-arg https_proxy=$https_p
 Run llama.cpp with OpenVINO backend Docker container.
 Save sample models in `~/models` as [shown above](#3-download-sample-model). It will be mounted to the container in the examples below.
 
-> [!NOTE]
-> Intel GPU, NPU detection in containers will be included in a future PR. Until then, you can use this reference Dockerfile: [openvino.Dockerfile](https://github.com/ravi9/llama.cpp/blob/ov-docker-update/.devops/openvino.Dockerfile).
 
 ```bash
 #  Run Docker container
diff --git a/docs/backend/SYCL.md b/docs/backend/SYCL.md
index 7fb78eae3..7ebb4ec02 100644
--- a/docs/backend/SYCL.md
+++ b/docs/backend/SYCL.md
@@ -31,6 +31,8 @@ SYCL cross-platform capabilities enable support for other vendor GPUs as well.
 
 ## Recommended Release
 
+### Windows
+
 The following releases are verified and recommended:
 
 |Commit ID|Tag|Release|Verified  Platform| Update date|
@@ -39,9 +41,22 @@ The following releases are verified and recommended:
 |3bcd40b3c593d14261fb2abfabad3c0fb5b9e318|b4040 |[llama-b4040-bin-win-sycl-x64.zip](https://github.com/ggml-org/llama.cpp/releases/download/b4040/llama-b4040-bin-win-sycl-x64.zip) |Arc A770/Linux/oneAPI 2024.1<br>MTL Arc GPU/Windows 11/oneAPI 2024.1| 2024-11-19|
 |fb76ec31a9914b7761c1727303ab30380fd4f05c|b3038 |[llama-b3038-bin-win-sycl-x64.zip](https://github.com/ggml-org/llama.cpp/releases/download/b3038/llama-b3038-bin-win-sycl-x64.zip) |Arc A770/Linux/oneAPI 2024.1<br>MTL Arc GPU/Windows 11/oneAPI 2024.1||
 
+### Ubuntu 24.04
+
+The release packages for Ubuntu 24.04 x64 (FP32/FP16) only include the binary files of the llama.cpp SYCL backend. They require the target machine to have pre-installed Intel GPU drivers and oneAPI packages that are the same version as the build package. To get the version and installation info, refer to release.yml: ubuntu-24-sycl -> Download & Install oneAPI.
+
+It is recommended to use them with Intel Docker.
+
+The packages for FP32 and FP16 would have different accuracy and performance on LLMs. Please choose it acording to the test result.
 
 ## News
 
+- 2026.04
+
+  - Optimize mul_mat by reorder feature for data type: Q4_K, Q5_K, Q_K, Q8_0.
+  - Fused MoE.
+  - Upgrate CI and built package for oneAPI 2025.3.3, support Ubuntu 24.04 built package.
+
 - 2026.03
   - Support Flash-Attention: less memory usage, performance impact depends on LLM.
 
@@ -229,6 +244,7 @@ Upon a successful installation, SYCL is enabled for the available intel devices,
 
 |Verified release|
 |-|
+|2025.3.3 |
 |2025.2.1|
 |2025.1|
 |2024.1|
@@ -339,6 +355,12 @@ Choose one of following methods to run.
 ./examples/sycl/test.sh
 ```
 
+- Run llama-server:
+
+```sh
+./examples/sycl/start-svr.sh -m PATH/MODEL_FILE
+```
+
 2. Command line
 Launch inference
 
@@ -627,10 +649,18 @@ Choose one of following methods to run.
 
 1. Script
 
+- Run test:
+
 ```
 examples\sycl\win-test.bat
 ```
 
+- Run llama-server:
+
+```
+examples\sycl\win-start-svr.bat -m PATH\MODEL_FILE
+```
+
 2. Command line
 
 Launch inference
@@ -689,6 +719,7 @@ use 1 SYCL GPUs: [0] with Max compute units:512
 | GGML_SYCL_F16      | OFF *(default)* \|ON *(optional)*     | Enable FP16 build with SYCL code path. (1.) |
 | GGML_SYCL_GRAPH    | OFF *(default)* \|ON *(Optional)*     | Enable build with [SYCL Graph extension](https://github.com/intel/llvm/blob/sycl/sycl/doc/extensions/experimental/sycl_ext_oneapi_graph.asciidoc). |
 | GGML_SYCL_DNN      | ON *(default)* \|OFF *(Optional)*     | Enable build with oneDNN.                   |
+| GGML_SYCL_HOST_MEM_FALLBACK | ON *(default)* \|OFF *(Optional)* | Allow host memory fallback when device memory is full during quantized weight reorder. Enables inference to continue at reduced speed (reading over PCIe) instead of failing. Requires Linux kernel 6.8+. |
 | CMAKE_C_COMPILER   | `icx` *(Linux)*, `icx/cl` *(Windows)* | Set `icx` compiler for SYCL code path.      |
 | CMAKE_CXX_COMPILER | `icpx` *(Linux)*, `icx` *(Windows)*   | Set `icpx/icx` compiler for SYCL code path. |
 
diff --git a/docs/backend/snapdragon/CMakeUserPresets.json b/docs/backend/snapdragon/CMakeUserPresets.json
index 1faae2f3d..c07bf5ca0 100644
--- a/docs/backend/snapdragon/CMakeUserPresets.json
+++ b/docs/backend/snapdragon/CMakeUserPresets.json
@@ -52,10 +52,39 @@
         }
     },
 
+    {
+        "name": "arm64-linux-snapdragon",
+        "hidden": true,
+        "architecture": { "value": "arm64",       "strategy": "external" },
+        "toolset":      { "value": "host=x86_64", "strategy": "external" },
+        "cacheVariables": {
+            "CMAKE_TOOLCHAIN_FILE": "cmake/arm64-linux-clang.cmake",
+            "CMAKE_C_FLAGS":   "-march=armv8 -fno-finite-math-only -flto -D_GNU_SOURCE",
+            "CMAKE_CXX_FLAGS": "-march=armv8 -fno-finite-math-only -flto -D_GNU_SOURCE",
+            "CMAKE_C_FLAGS_RELEASE":          "-O3 -DNDEBUG",
+            "CMAKE_CXX_FLAGS_RELEASE":        "-O3 -DNDEBUG",
+            "CMAKE_C_FLAGS_RELWITHDEBINFO":   "-O3 -DNDEBUG -g",
+            "CMAKE_CXX_FLAGS_RELWITHDEBINFO": "-O3 -DNDEBUG -g",
+            "CMAKE_PREFIX_PATH":  "$env{OPENCL_SDK_ROOT}",
+            "HEXAGON_SDK_ROOT":   "$env{HEXAGON_SDK_ROOT}",
+            "HEXAGON_TOOLS_ROOT": "$env{HEXAGON_TOOLS_ROOT}",
+            "PREBUILT_LIB_DIR": "linux_aarch64",
+            "GGML_OPENMP":      "OFF",
+            "GGML_LLAMAFILE":   "OFF",
+            "GGML_OPENCL":      "OFF",
+            "GGML_HEXAGON":     "ON",
+            "GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE": "128",
+            "LLAMA_OPENSSL":    "OFF"
+        }
+    },
+
     { "name": "arm64-android-snapdragon-debug"  , "inherits": [ "base", "arm64-android-snapdragon", "debug" ] },
     { "name": "arm64-android-snapdragon-release", "inherits": [ "base", "arm64-android-snapdragon", "release" ] },
 
     { "name": "arm64-windows-snapdragon-debug"  , "inherits": [ "base", "arm64-windows-snapdragon", "debug" ] },
-    { "name": "arm64-windows-snapdragon-release", "inherits": [ "base", "arm64-windows-snapdragon", "release" ] }
+    { "name": "arm64-windows-snapdragon-release", "inherits": [ "base", "arm64-windows-snapdragon", "release" ] },
+
+    { "name": "arm64-linux-snapdragon-debug"  , "inherits": [ "base", "arm64-linux-snapdragon", "debug" ] },
+    { "name": "arm64-linux-snapdragon-release", "inherits": [ "base", "arm64-linux-snapdragon", "release" ] }
   ]
 }
diff --git a/docs/backend/snapdragon/README.md b/docs/backend/snapdragon/README.md
index 0783555ce..2414eeaf6 100644
--- a/docs/backend/snapdragon/README.md
+++ b/docs/backend/snapdragon/README.md
@@ -236,10 +236,6 @@ build: 6a8cf8914 (6733)
   Controls whether the Hexagon backend allocates host buffers. By default, all buffers except for REPACK are host buffers.
   This option is required for testing Ops that require REPACK buffers (MUL_MAT and MUL_MAT_ID).
 
-- `GGML_HEXAGON_EXPERIMENTAL=1`
-  Controls whether the Hexagon backend enables experimental features.
-  This option is required for enabling/testing experimental Ops (FLASH_ATTN_EXT).
-
 - `GGML_HEXAGON_VERBOSE=1`
   Enables verbose logging of Ops from the backend. Example output:
 
@@ -253,17 +249,32 @@ build: 6a8cf8914 (6733)
   ```
 
 - `GGML_HEXAGON_PROFILE=1`
-  Generates a host-side profile for the ggml-hexagon Ops.
+  Enables Op profiling:
+
+  - `1` Basic profile with per-op `usecs` and `cycles` counters
+  - `2` Extended profile with per-op `usecs`, `cycles` and default PMU counter data
+  - `0x1,...,0x8` Extended profile with per-op `usecs`, `cycles` and custom PMU counter data
+
+  The logging output can be either saved into a file for post-processing or it can be piped directly into the post-processing tool to generate the report.
+  Examples:
+
+      `GGML_HEXAGON_PROFILE=1 llama-completion ... |& ./scripts/snapdragon/ggml-hexagon-profile.py -`
 
-- `GGML_HEXAGON_OPMASK=0x0`
-  Allows enabling specific stages of the processing pipeline:
+- `GGML_HEXAGON_OPSTAGE=0x0`
+  Allows enabling specific stages of the Op processing pipeline:
 
   - `0x1` Enable Op Queue (i.e., queuing Ops into NPU)
-  - `0x2` Enable Dynamic Quantizer (if needed for the Op)
-  - `0x4` Enable Op Compute (MUL_MAT, etc.)
+  - `0x2` Enable Op Compute (MUL_MAT, etc.)
+
+  Examples:
+
+      `GGML_HEXAGON_OPSTAGE=0x1 llama-completion ...` - Ops are enqueued to the NPU but dma & compute are disabled
+      `GGML_HEXAGON_OPSTAGE=0x3 llama-completion ...` - Full queuing and processing of Ops (default)
+
+- `GGML_HEXAGON_OPFILTER=regex`
+  Allows filtering (disabling) Ops that match the regex pattern:
 
   Examples:
 
-      `GGML_HEXAGON_OPMASK=0x1 llama-completion ...` - Ops are enqueued but NPU-side processing is stubbed out
-      `GGML_HEXAGON_OPMASK=0x3 llama-completion ...` - NPU performs dynamic quantization and skips the rest
-      `GGML_HEXAGON_OPMASK=0x7 llama-completion ...` - Full queuing and processing of Ops (default)
+      `GGML_HEXAGON_OPFILTER="FLASH_ATTN_EXT" llama-completion ...` - Disable Flash Attention on Hexagon (falls back to CPU or GPU)
+      `GGML_HEXAGON_OPFILTER="ADD\|SUB" llama-completion ...` - Disable ADD and SUB on Hexagon (fall back to CPU or GPU)
diff --git a/docs/backend/snapdragon/linux.md b/docs/backend/snapdragon/linux.md
new file mode 100644
index 000000000..90fdadb6c
--- /dev/null
+++ b/docs/backend/snapdragon/linux.md
@@ -0,0 +1,58 @@
+# Snapdragon-based Linux devices
+
+## Docker Setup
+
+The easiest way to build llama.cpp for a Snapdragon-based Linux device is using the toolchain Docker image (see [github.com/snapdragon-toolchain](https://github.com/snapdragon-toolchain)).
+This image includes OpenCL SDK, Hexagon SDK, CMake, and the ARM64 Linux cross-compilation toolchain.
+
+Cross-compilation is supported on **Linux X86** hosts. The resulting binaries are deployed to and run on the target **Qualcomm Snapdragon ARM64 Linux** device.
+
+```
+~/src/llama.cpp$ docker run -it -u $(id -u):$(id -g) --volume $(pwd):/workspace --platform linux/amd64 ghcr.io/snapdragon-toolchain/arm64-linux:v0.1
+[d]/> cd /workspace
+```
+
+Note: The rest of the **Linux** build process assumes that you're running inside the toolchain container.
+
+
+## How to Build
+
+Let's build llama.cpp with CPU, OpenCL, and Hexagon backends via CMake presets:
+
+```
+[d]/workspace> cp docs/backend/snapdragon/CMakeUserPresets.json .
+
+[d]/workspace> cmake --preset arm64-linux-snapdragon-release -B build-snapdragon
+
+[d]/workspace> cmake --build build-snapdragon -j $(nproc)
+```
+
+To generate an installable "package" simply use cmake --install, then zip it:
+
+```
+[d]/workspace> cmake --install build-snapdragon --prefix pkg-snapdragon
+[d]/workspace> zip -r pkg-snapdragon.zip pkg-snapdragon
+```
+
+## How to Install
+
+For this step, you will deploy the built binaries and libraries to the target Linux device. Transfer `pkg-snapdragon.zip` to the target device, then unzip it and set up the environment variables:
+
+```
+$ unzip pkg-snapdragon.zip
+$ cd pkg-snapdragon
+$ export LD_LIBRARY_PATH=./lib
+$ export ADSP_LIBRARY_PATH=./lib
+```
+
+At this point, you should also download some models onto the device:
+
+```
+$ wget https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct-Q4_0.gguf
+```
+
+## How to Run
+Next, since we have setup the environment variables, we can run the llama-cli with the Hexagon backends:
+```
+$ ./bin/llama-cli -m Llama-3.2-3B-Instruct-Q4_0.gguf --device HTP0 -ngl 99 -p "what is the most popular cookie in the world?"
+```
diff --git a/docs/build.md b/docs/build.md
index 616a838de..a18479b33 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -281,6 +281,12 @@ Use `GGML_CUDA_FORCE_CUBLAS_COMPUTE_16F` environment variable to force use FP16
 
 The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`.
 
+### Peer Access
+
+The environment variable `GGML_CUDA_P2P` can be set to enable peer-to-peer access between multiple GPUs, allowing them to transfer data directly rather than to go through system memory.
+Requires driver support (usually restricted to workstation/datacenter GPUs).
+May cause crashes or corrupted outputs for some motherboards and BIOS settings (e.g. IOMMU).
+
 ### Performance Tuning
 
 The following compilation options are also available to tweak performance:
@@ -456,7 +462,8 @@ pacman -S git \
     mingw-w64-ucrt-x86_64-gcc \
     mingw-w64-ucrt-x86_64-cmake \
     mingw-w64-ucrt-x86_64-vulkan-devel \
-    mingw-w64-ucrt-x86_64-shaderc
+    mingw-w64-ucrt-x86_64-shaderc \
+    mingw-w64-ucrt-x86_64-spirv-headers
 ```
 
 Switch into the `llama.cpp` directory and build using CMake.
@@ -490,9 +497,11 @@ First, follow the official LunarG instructions for the installation and setup of
 
 On Debian / Ubuntu, you can install the required dependencies using:
 ```sh
-sudo apt-get install libvulkan-dev glslc
+sudo apt-get install libvulkan-dev glslc spirv-headers
 ```
 
+SPIRV-Headers (`spirv/unified1/spirv.hpp`) are required for the Vulkan backend and are **not** always pulled in by the Vulkan loader dev package alone. Other distros use names such as `spirv-headers` (Ubuntu / Debian / Arch), or `spirv-headers-devel` (Fedora / openSUSE). On Windows, the LunarG Vulkan SDK’s `Include` directory already contains these headers.
+
 #### Common steps
 
 Second, after verifying that you have followed all of the SDK installation/setup steps, use this command to make sure before proceeding:
@@ -741,7 +750,7 @@ cmake --build build --config Release
 
 WebGPU allows cross-platform access to the GPU from supported browsers. We utilize [Emscripten](https://emscripten.org/) to compile ggml's WebGPU backend to WebAssembly. Emscripten does not officially support WebGPU bindings yet, but Dawn currently maintains its own WebGPU bindings called emdawnwebgpu.
 
-Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/src/emdawnwebgpu/) to download or build the emdawnwebgpu package (Note that it might be safer to build the emdawbwebgpu package locally, so that it stays in sync with the version of Dawn you have installed above). When building using CMake, the path to the emdawnwebgpu port file needs to be set with the flag `EMDAWNWEBGPU_DIR`.
+Follow the instructions [here](https://dawn.googlesource.com/dawn/+/refs/heads/main/src/emdawnwebgpu/) to download or build the emdawnwebgpu package (Note that it might be safer to build the emdawnwebgpu package locally, so that it stays in sync with the version of Dawn you have installed above). When building using CMake, the path to the emdawnwebgpu port file needs to be set with the flag `EMDAWNWEBGPU_DIR`.
 
 ## IBM Z & LinuxONE
 
diff --git a/docs/development/HOWTO-add-model.md b/docs/development/HOWTO-add-model.md
index b6870f6e2..5390e42ba 100644
--- a/docs/development/HOWTO-add-model.md
+++ b/docs/development/HOWTO-add-model.md
@@ -5,6 +5,7 @@ Adding a model requires few steps:
 1. Convert the model to GGUF
 2. Define the model architecture in `llama.cpp`
 3. Build the GGML graph implementation
+4. Optional: Add multimodal encoder implementation
 
 After following these steps, you can open PR.
 
@@ -114,6 +115,38 @@ Some `ggml` backends do not support all operations. Backend implementations can
 
 Note: to debug the inference graph: you can use [llama-eval-callback](/examples/eval-callback/).
 
+### 4. Optional: Add multimodal encoder implementation
+
+If the new model supports multimodal inputs, you will need to add a new encoder definition in `libmtmd`. You can find more information about llama.cpp's multimodal support in [the docs](../multimodal.md) and in the `tools/mtmd` source directory.
+
+1. In the conversion script, make sure you add a subclass that extends `MmprojModel` or another class that inherits from the same base class.
+2. Add the encoder definition in `clip.cpp`.
+3. Implement the preprocessor in `mtmd.cpp`. In most cases, you can reuse an existing preprocessor.
+4. Implement the encoder GGML graph, either in a dedicated file if the model is truly different from existing ones, or by reusing an existing implementation (for example: siglip, pixtral, or qwen) and adding a model-specific projector.
+
+Note:
+- Many multimodal encoders are based on models that are already supported. Make sure to read the existing encoder definitions in `tools/mtmd/models` before adding a new one. In `libmtmd`, it is generally better to extend an existing model than to duplicate code.
+- To debug the multimodal preprocessor and encoder, you can use [llama-mtmd-debug](tools/mtmd/debug/mtmd-debug.cpp).
+- Adding a model-specific API or CLI is an anti-pattern in `libmtmd`. The goal of `libmtmd` is to provide an easy-to-use, model-agnostic library for multimodal pipeline.
+- In most cases, `llama-mtmd-cli` should not be modified. If a model requires a specific prompt, either let the user provide it or bake it into the Jinja chat template.
+
+## Tips and tricks
+
+### Working with ggml_rope_ext
+
+PyTorch implementations usually prefer explicitly calculating `freq_cis`/`sin`/`cos` components. However, in llama.cpp, most RoPE operations can be handled via `ggml_rope_ext`, which does not require a sin/cos matrix. This saves memory while allowing the GGML RoPE kernel to be fused with other ops.
+
+However, since `ggml_rope_ext` only provides a subset of the RoPE implementations that models use, converting models from PyTorch to llama.cpp may require some creative adaptations.
+
+For more information about `ggml_rope_ext`, please refer to the in-code documentation in `ggml.h`.
+
+Examples:
+- `libmtmd` implements 2D RoPE with `GGML_ROPE_TYPE_NORMAL` ordering by splitting the input tensor in half, applying `ggml_rope_ext` separately to each half, then joining them back together using `ggml_concat`.
+- The [Kimi-K2.5](https://github.com/ggml-org/llama.cpp/pull/19170) vision encoder uses vision RoPE with interleaved frequencies. The weights must be permuted during conversion in order to reuse the `build_rope_2d()` function.
+- [Gemma 4](https://github.com/ggml-org/llama.cpp/pull/21309) uses "proportional" RoPE. We employ a trick where `rope_freqs` is set to a very large value in the last dimensions to prevent those dimensions from being rotated. See the `Gemma4Model` class in `convert_hf_to_gguf.py`.
+- Some models require scaling the input position. For example, `[0, 1, 2, ...]` becomes `[0, 0.5, 1, ...]`. In this case, you can provide the scaling via `freq_scale = 0.5f`.
+- Some models use learned RoPE frequencies instead of relying on `powf(freq_base, -2.0 * i / n_dims)`. In this case, you can provide the learned frequencies via the `rope_freqs` tensor (corresponding to the `c` argument in `ggml_rope_ext`), then set `freq_base = 1.0f`. An important note is that `rope_freqs` in GGML is the **inverse** (`theta = pos[i] / rope_freqs`), so you may need to invert `rope_freqs` during conversion.
+
 ## GGUF specification
 
 https://github.com/ggml-org/ggml/blob/master/docs/gguf.md
diff --git a/docs/multimodal.md b/docs/multimodal.md
index 744347f62..33d1df33c 100644
--- a/docs/multimodal.md
+++ b/docs/multimodal.md
@@ -37,6 +37,7 @@ llama-server -hf ggml-org/gemma-3-4b-it-GGUF --no-mmproj-offload
 > - PaddleOCR-VL: https://github.com/ggml-org/llama.cpp/pull/18825
 > - GLM-OCR: https://github.com/ggml-org/llama.cpp/pull/19677
 > - Deepseek-OCR: https://github.com/ggml-org/llama.cpp/pull/17400
+> - Dots.OCR: https://github.com/ggml-org/llama.cpp/pull/17575
 > - HunyuanOCR: https://github.com/ggml-org/llama.cpp/pull/21395
 
 ## Pre-quantized models
@@ -93,6 +94,11 @@ NOTE: some models may require large context window, for example: `-c 8192`
 # Moondream2 20250414 version
 (tool_name) -hf ggml-org/moondream2-20250414-GGUF
 
+# Gemma 4
+(tool_name) -hf ggml-org/gemma-4-E2B-it-GGUF
+(tool_name) -hf ggml-org/gemma-4-E4B-it-GGUF
+(tool_name) -hf ggml-org/gemma-4-26B-A4B-it-GGUF
+(tool_name) -hf ggml-org/gemma-4-31B-it-GGUF
 ```
 
 **Audio models**:
@@ -108,6 +114,10 @@ NOTE: some models may require large context window, for example: `-c 8192`
 
 # Mistral's Voxtral
 (tool_name) -hf ggml-org/Voxtral-Mini-3B-2507-GGUF
+
+# Qwen3-ASR
+(tool_name) -hf ggml-org/Qwen3-ASR-0.6B-GGUF
+(tool_name) -hf ggml-org/Qwen3-ASR-1.7B-GGUF
 ```
 
 **Mixed modalities**:
@@ -117,6 +127,16 @@ NOTE: some models may require large context window, for example: `-c 8192`
 # Capabilities: audio input, vision input
 (tool_name) -hf ggml-org/Qwen2.5-Omni-3B-GGUF
 (tool_name) -hf ggml-org/Qwen2.5-Omni-7B-GGUF
+
+# Qwen3 Omni
+# Capabilities: audio input, vision input
+(tool_name) -hf ggml-org/Qwen3-Omni-30B-A3B-Instruct-GGUF
+(tool_name) -hf ggml-org/Qwen3-Omni-30B-A3B-Thinking-GGUF
+
+# Gemma 4
+# Capabilities: audio input, vision input
+(tool_name) -hf ggml-org/gemma-4-E2B-it-GGUF
+(tool_name) -hf ggml-org/gemma-4-E4B-it-GGUF
 ```
 
 ## Finding more models:
diff --git a/docs/multimodal/minicpmv4.6.md b/docs/multimodal/minicpmv4.6.md
new file mode 100644
index 000000000..4aa13f8eb
--- /dev/null
+++ b/docs/multimodal/minicpmv4.6.md
@@ -0,0 +1,49 @@
+## MiniCPM-V 4.6
+
+### Prepare models and code
+
+Download [MiniCPM-V-4_6](https://huggingface.co/openbmb/MiniCPM-V-4_6) PyTorch model from huggingface to "MiniCPM-V-4_6" folder.
+
+The model must be the standard `transformers` v5.7.0+ checkpoint (no `trust_remote_code`); the architecture in `config.json` is `MiniCPMV4_6ForConditionalGeneration` with a `qwen3_5_text` text model and a SigLIP-based vision tower plus a window-attention `vit_merger`.
+
+### Build llama.cpp
+
+If there are differences in usage, please refer to the official build [documentation](https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md)
+
+Clone llama.cpp:
+```bash
+git clone https://github.com/ggml-org/llama.cpp
+cd llama.cpp
+```
+
+Build llama.cpp using `CMake`:
+```bash
+cmake -B build
+cmake --build build --config Release
+```
+
+
+### Usage of MiniCPM-V 4.6
+
+Unlike older MiniCPM-V variants, MiniCPM-V 4.6 is converted directly through `convert_hf_to_gguf.py`. The same script is invoked twice on the original Hugging Face directory: once to produce the language-model GGUF and once with `--mmproj` to produce the multimodal projector GGUF.
+
+```bash
+# language model
+python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --outfile ../MiniCPM-V-4_6/ggml-model-f16.gguf
+
+# multimodal projector (vision tower + window-attention vit_merger + DownsampleMLP merger)
+python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --mmproj --outfile ../MiniCPM-V-4_6/mmproj-model-f16.gguf
+
+# optional: quantize to Q4_K_M
+./build/bin/llama-quantize ../MiniCPM-V-4_6/ggml-model-f16.gguf ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf Q4_K_M
+```
+
+
+Inference on Linux or Mac
+```bash
+# run in single-turn mode
+./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-f16.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?"
+
+# run in conversation mode
+./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf
+```
diff --git a/docs/ops.md b/docs/ops.md
index b2b29e14f..af0dd2836 100644
--- a/docs/ops.md
+++ b/docs/ops.md
@@ -22,13 +22,13 @@ Legend:
 |                           ARANGE | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                           ARGMAX | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                          ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
-|                             CEIL | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
+|                             CEIL | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                            CLAMP | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                           CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                             CONT | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
-|                          CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ |
+|                             CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
+|                          CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ |
 |                       CONV_2D_DW | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
-|                          CONV_3D | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
+|                          CONV_3D | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
 |                CONV_TRANSPOSE_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                CONV_TRANSPOSE_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                              COS | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
@@ -46,7 +46,7 @@ Legend:
 |                            EXPM1 | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ |
 |                             FILL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
 |                   FLASH_ATTN_EXT | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
-|                            FLOOR | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                            FLOOR | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                  GATED_DELTA_NET | ❌ | ❌ | ✅ | ❌ | 🟡 | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ |
 |                GATED_LINEAR_ATTN | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
 |                            GEGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | 🟡 | ✅ | ❌ | ❌ |
@@ -60,7 +60,7 @@ Legend:
 |                       GROUP_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                      HARDSIGMOID | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                        HARDSWISH | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
-|                           IM2COL | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
+|                           IM2COL | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                        IM2COL_3D | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
 |                          L2_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                       LEAKY_RELU | ❌ | ✅ | ✅ | ✅ | 🟡 | ❌ | ✅ | 🟡 | ❌ | ❌ | ❌ |
@@ -68,7 +68,7 @@ Legend:
 |                             MEAN | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                              MUL | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                          MUL_MAT | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 | 🟡 |
-|                       MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | 🟡 | ❌ |
+|                       MUL_MAT_ID | ❌ | 🟡 | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | 🟡 | 🟡 | ❌ |
 |                              NEG | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                             NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | ❌ | ❌ | ❌ |
 |                   OPT_STEP_ADAMW | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ |
@@ -84,10 +84,10 @@ Legend:
 |                      REPEAT_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                         RMS_NORM | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                    RMS_NORM_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                             ROLL | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
+|                             ROLL | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                             ROPE | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                        ROPE_BACK | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            ROUND | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                            ROUND | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                        RWKV_WKV6 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                        RWKV_WKV7 | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            SCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
@@ -105,7 +105,7 @@ Legend:
 |                              SQR | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                             SQRT | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                         SSM_CONV | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                         SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ |
+|                         SSM_SCAN | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ | 🟡 | ✅ | ❌ | ❌ |
 |                             STEP | ❌ | ✅ | ✅ | 🟡 | ✅ | ❌ | ✅ | 🟡 | ✅ | ❌ | ❌ |
 |                              SUB | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
 |                              SUM | ❌ | 🟡 | ✅ | 🟡 | 🟡 | ❌ | 🟡 | 🟡 | 🟡 | ❌ | ❌ |
@@ -116,6 +116,6 @@ Legend:
 |               TIMESTEP_EMBEDDING | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ |
 |                            TOP_K | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                              TRI | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
-|                            TRUNC | ❌ | ❌ | ✅ | 🟡 | ❌ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
+|                            TRUNC | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | 🟡 | 🟡 | ✅ | ❌ | ❌ |
 |                          UPSCALE | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ❌ | ❌ | ❌ |
-|                            XIELU | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
+|                            XIELU | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ |
diff --git a/docs/ops/Metal.csv b/docs/ops/Metal.csv
index a7ed228f7..ec34bb66b 100644
--- a/docs/ops/Metal.csv
+++ b/docs/ops/Metal.csv
@@ -33,14 +33,14 @@
 "MTL0","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
-"MTL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
 "MTL0","ABS","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
 "MTL0","ABS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","SGN","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
@@ -75,14 +75,14 @@
 "MTL0","SOFTPLUS","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
-"MTL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","FLOOR","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","ABS","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
 "MTL0","ABS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
 "MTL0","SGN","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
@@ -117,14 +117,14 @@
 "MTL0","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
-"MTL0","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","0","no","MTL"
+"MTL0","FLOOR","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","FLOOR","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne_a=[128,2,2,2],v=0","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne_a=[5,7,11,13],v=0","support","1","yes","MTL"
 "MTL0","ABS","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
 "MTL0","ABS","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","SGN","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
@@ -159,14 +159,14 @@
 "MTL0","SOFTPLUS","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
 "MTL0","GELU_ERF","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
-"MTL0","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","0","no","MTL"
+"MTL0","FLOOR","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","FLOOR","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne_a=[128,2,2,2],v=1","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne_a=[5,7,11,13],v=1","support","1","yes","MTL"
 "MTL0","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=0","support","0","no","MTL"
 "MTL0","REGLU","type=f16,ne_a=[5,7,11,13],v=0,swapped=0","support","0","no","MTL"
 "MTL0","REGLU","type=f16,ne_a=[128,2,2,2],v=0,swapped=1","support","0","no","MTL"
@@ -310,10 +310,10 @@
 "MTL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=f16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","MTL"
-"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","MTL"
-"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","MTL"
-"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","MTL"
-"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","MTL"
+"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=bf16,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q4_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
@@ -334,10 +334,18 @@
 "MTL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","MTL"
+"MTL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","MTL"
+"MTL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","MTL"
+"MTL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","MTL"
+"MTL0","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","MTL"
 "MTL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","MTL"
 "MTL0","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","MTL"
@@ -415,8 +423,12 @@
 "MTL0","GET_ROWS_BACK","type=q5_1,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
+"MTL0","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
+"MTL0","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
+"MTL0","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
+"MTL0","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=1","support","0","no","MTL"
 "MTL0","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=0","support","0","no","MTL"
@@ -490,26 +502,26 @@
 "MTL0","SET_ROWS","type=f16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=f16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=f16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
-"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,1],nr23=[2,3],r=1,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=0","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[3,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[31,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=bf16,type_idx=i64,ne=[33,5,1,7],nr23=[2,3],r=1,v=1","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=q4_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=q4_0,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","MTL"
@@ -570,6 +582,18 @@
 "MTL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","MTL"
 "MTL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","MTL"
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
@@ -582,6 +606,18 @@
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","MTL"
 "MTL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","MTL"
+"MTL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","MTL"
 "MTL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","MTL"
 "MTL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","MTL"
 "MTL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","MTL"
@@ -4637,264 +4673,264 @@
 "MTL0","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=1","support","0","no","MTL"
 "MTL0","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=0","support","0","no","MTL"
 "MTL0","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=1","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","0","no","MTL"
-"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","0","no","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f32","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=1,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=1,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=0,p1=0,p2=0,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=3,KW=3,s0=2,s1=2,s2=2,p0=1,p1=1,p2=1,d0=2,d1=2,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=2,IC=3,ID=18,IH=22,IW=20,OC=4,KD=3,KH=1,KW=5,s0=2,s1=1,s2=1,p0=2,p1=0,p2=1,d0=1,d1=1,d2=2,type_kernel=f16","support","1","yes","MTL"
+"MTL0","CONV_3D","N=1,IC=4,ID=8,IH=8,IW=8,OC=8,KD=1,KH=1,KW=1,s0=1,s1=1,s2=1,p0=0,p1=0,p2=0,d0=1,d1=1,d2=1,type_kernel=f16","support","1","yes","MTL"
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1","support","1","yes","MTL"
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1","support","1","yes","MTL"
@@ -5011,9 +5047,12 @@
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
 "MTL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","MTL"
-"MTL0","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","MTL"
-"MTL0","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","MTL"
-"MTL0","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","1","yes","MTL"
+"MTL0","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","1","yes","MTL"
 "MTL0","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","1","yes","MTL"
 "MTL0","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","1","yes","MTL"
 "MTL0","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","MTL"
@@ -5087,15 +5126,15 @@
 "MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f16,type_dst=f16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[1,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[2,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[3,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q4_0,type_dst=q4_0,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
@@ -5141,6 +5180,15 @@
 "MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
@@ -5150,6 +5198,15 @@
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","MTL"
@@ -5292,8 +5349,12 @@
 "MTL0","CPY","type_src=f16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
@@ -5322,12 +5383,12 @@
 "MTL0","CPY","type_src=f16,type_dst=iq3_s,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f16,type_dst=iq4_xs,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
@@ -5338,8 +5399,12 @@
 "MTL0","CPY","type_src=bf16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
@@ -5372,8 +5437,8 @@
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
-"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=bf16,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q4_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q4_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q4_1,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
@@ -5384,8 +5449,12 @@
 "MTL0","CPY","type_src=f32,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=f32,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=f32,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
@@ -5418,8 +5487,8 @@
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q4_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q4_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q4_1,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
@@ -5430,8 +5499,12 @@
 "MTL0","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
+"MTL0","CPY","type_src=q1_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
+"MTL0","CPY","type_src=nvfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
 "MTL0","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","MTL"
@@ -5471,10 +5544,10 @@
 "MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,3,3],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,3,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=f16,type_dst=f16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
-"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","0","no","MTL"
+"MTL0","CPY","type_src=bf16,type_dst=bf16,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=i32,type_dst=i32,ne=[256,4,1,1],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=1","support","1","yes","MTL"
 "MTL0","CPY","type_src=i32,type_dst=i32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
 "MTL0","CPY","type_src=f32,type_dst=f32,ne=[256,1,4,1],permute_src=[1,2,0,3],permute_dst=[0,0,0,0],_src_transpose=0","support","1","yes","MTL"
@@ -5508,12 +5581,12 @@
 "MTL0","CONT","type=f16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
 "MTL0","CONT","type=f16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
 "MTL0","CONT","type=f16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
-"MTL0","CONT","type=bf16,ne=[2,1,1,1],use_view_slice=0","support","0","no","MTL"
-"MTL0","CONT","type=bf16,ne=[2,1,3,5],use_view_slice=0","support","0","no","MTL"
-"MTL0","CONT","type=bf16,ne=[2,3,5,7],use_view_slice=0","support","0","no","MTL"
-"MTL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","0","no","MTL"
-"MTL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","0","no","MTL"
-"MTL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","0","no","MTL"
+"MTL0","CONT","type=bf16,ne=[2,1,1,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[2,1,3,5],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[2,3,5,7],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[1,4,4,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[1,8,17,1],use_view_slice=0","support","1","yes","MTL"
+"MTL0","CONT","type=bf16,ne=[10,10,10,1],use_view_slice=0","support","1","yes","MTL"
 "MTL0","ADD","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
 "MTL0","SUB","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
 "MTL0","MUL","type=f16,ne=[1,1,8,1],nr=[1,1,1,1],nf=1,perm1=0","support","0","no","MTL"
@@ -5874,8 +5947,6 @@
 "MTL0","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
 "MTL0","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
 "MTL0","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","MTL"
-"MTL0","ADD1","type=f32,ne=[10,5,4,3]","support","0","no","MTL"
-"MTL0","ADD1","type=f32,ne=[1024,1024,1,1]","support","0","no","MTL"
 "MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","MTL"
 "MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","MTL"
 "MTL0","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","MTL"
@@ -6030,15 +6101,15 @@
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6084,6 +6155,15 @@
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6093,6 +6173,15 @@
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
 "MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6513,6 +6602,68 @@
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6761,6 +6912,68 @@
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[3,2],nr=[2,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,1,3,2],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=256,bs=[2,3],nr=[1,1],per=[0,3,2,1],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=1,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
 "MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=iq2_xxs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6831,6 +7044,8 @@
 "MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=32,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q5_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6844,8 +7059,8 @@
 "MTL0","MUL_MAT","type_a=iq4_nl,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=iq3_s,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=iq4_xs,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=1,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=128,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=83,n=2,k=128,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=64,n=2,k=64,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6859,13 +7074,15 @@
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=2048,k=8192,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q5_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q5_1,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=q1_0,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=mxfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=nvfp4,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","MTL"
 "MTL0","MUL_MAT","type_a=q2_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q3_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=q4_K,type_b=f32,m=1,n=64,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
@@ -6883,386 +7100,386 @@
 "MTL0","MUL_MAT","type_a=q8_0,type_b=f32,m=6,n=4096,k=5120,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,1],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,1],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[1,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[1,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[2,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[2,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[4,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[4,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[1,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[1,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1056,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=128,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=128,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1056,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2112,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","0","no","MTL"
-"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","0","no","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
+"MTL0","MUL_MAT","type_a=bf16,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=1057,n=1,k=129,bs=[8,3],nr=[4,1],per=[0,2,1,3],k_v=0,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT","type_a=f32,type_b=f32,m=129,n=1,k=1057,bs=[8,3],nr=[4,1],per=[0,1,2,3],k_v=2113,o=1","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=0,m=32,n=1024,k=16","support","1","yes","MTL"
@@ -7489,6 +7706,78 @@
 "MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
@@ -7777,6 +8066,78 @@
 "MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=1,b=1,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=1,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=4,b=1,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=1,b=1,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=2,b=1,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=0,m=512,n=129,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=1,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=4,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=5,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=17,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=8,n_used=4,b=1,m=512,n=129,k=256","support","0","no","MTL"
 "MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","MTL"
@@ -7857,6 +8218,8 @@
 "MTL0","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
@@ -7881,8 +8244,8 @@
 "MTL0","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
 "MTL0","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
-"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","0","no","MTL"
-"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","0","no","MTL"
+"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=1,k=256","support","1","yes","MTL"
+"MTL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=512,n=32,k=256","support","1","yes","MTL"
 "MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=f32,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
@@ -8267,6 +8630,134 @@
 "MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=q8_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=q1_0,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=q4_0,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
@@ -8779,6 +9270,134 @@
 "MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=mxfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f32,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=1,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=1,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","MTL"
+"MTL0","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","MTL"
 "MTL0","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","MTL"
@@ -8950,10 +9569,10 @@
 "MTL0","COS","type=f16,ne=[10,2,2,2]","support","1","yes","MTL"
 "MTL0","CLAMP","type=f16,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","MTL"
 "MTL0","LEAKY_RELU","type=f16,ne_a=[10,5,4,3],negative_slope=0.100000","support","0","no","MTL"
-"MTL0","FLOOR","type=f16,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne=[10,2,2,2]","support","0","no","MTL"
+"MTL0","FLOOR","type=f16,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne=[10,2,2,2]","support","1","yes","MTL"
 "MTL0","SQR","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
 "MTL0","SQR","type=f16,ne=[1024,1024,1,1]","support","1","yes","MTL"
 "MTL0","SQRT","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
@@ -8968,14 +9587,14 @@
 "MTL0","CLAMP","type=f16,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","MTL"
 "MTL0","LEAKY_RELU","type=f16,ne_a=[7,1,5,3],negative_slope=0.100000","support","0","no","MTL"
 "MTL0","LEAKY_RELU","type=f16,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","0","no","MTL"
-"MTL0","FLOOR","type=f16,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","CEIL","type=f16,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","0","no","MTL"
+"MTL0","FLOOR","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","FLOOR","type=f16,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","CEIL","type=f16,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","ROUND","type=f16,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f16,ne=[1024,1024,1,1]","support","1","yes","MTL"
 "MTL0","SQR","type=f32,ne=[10,5,4,3]","support","1","yes","MTL"
 "MTL0","SQRT","type=f32,ne=[10,3,3,2]","support","1","yes","MTL"
 "MTL0","LOG","type=f32,ne=[10,5,4,3]","support","1","yes","MTL"
@@ -8983,10 +9602,10 @@
 "MTL0","COS","type=f32,ne=[10,2,2,2]","support","1","yes","MTL"
 "MTL0","CLAMP","type=f32,ne=[10,5,4,3],min=-0.500000,max=0.500000","support","1","yes","MTL"
 "MTL0","LEAKY_RELU","type=f32,ne_a=[10,5,4,3],negative_slope=0.100000","support","1","yes","MTL"
-"MTL0","FLOOR","type=f32,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne=[10,2,2,2]","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne=[10,2,2,2]","support","0","no","MTL"
+"MTL0","FLOOR","type=f32,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne=[10,2,2,2]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne=[10,2,2,2]","support","1","yes","MTL"
 "MTL0","SQR","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
 "MTL0","SQR","type=f32,ne=[1024,1024,1,1]","support","1","yes","MTL"
 "MTL0","SQRT","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
@@ -9001,14 +9620,14 @@
 "MTL0","CLAMP","type=f32,ne=[1024,1024,1,1],min=-0.500000,max=0.500000","support","1","yes","MTL"
 "MTL0","LEAKY_RELU","type=f32,ne_a=[7,1,5,3],negative_slope=0.100000","support","1","yes","MTL"
 "MTL0","LEAKY_RELU","type=f32,ne_a=[1024,1024,1,1],negative_slope=0.100000","support","1","yes","MTL"
-"MTL0","FLOOR","type=f32,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","CEIL","type=f32,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","ROUND","type=f32,ne=[1024,1024,1,1]","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne=[7,1,5,3]","support","0","no","MTL"
-"MTL0","TRUNC","type=f32,ne=[1024,1024,1,1]","support","0","no","MTL"
+"MTL0","FLOOR","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","FLOOR","type=f32,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","CEIL","type=f32,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","ROUND","type=f32,ne=[1024,1024,1,1]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne=[7,1,5,3]","support","1","yes","MTL"
+"MTL0","TRUNC","type=f32,ne=[1024,1024,1,1]","support","1","yes","MTL"
 "MTL0","DIAG_MASK_INF","type=f32,ne=[10,10,1,1],n_past=5","support","0","no","MTL"
 "MTL0","DIAG_MASK_INF","type=f32,ne=[10,10,3,1],n_past=5","support","0","no","MTL"
 "MTL0","DIAG_MASK_INF","type=f32,ne=[10,10,3,2],n_past=5","support","0","no","MTL"
@@ -9863,10 +10482,12 @@
 "MTL0","ARGSORT","type=f32,ne=[1023,2,1,3],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[1024,2,1,3],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[1025,2,1,3],order=0","support","1","yes","MTL"
+"MTL0","ARGSORT","type=f32,ne=[1025,256,1,1],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2047,2,1,3],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2048,2,1,3],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2049,2,1,3],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2,8,8192,1],order=0","support","1","yes","MTL"
+"MTL0","ARGSORT","type=f32,ne=[2048,512,1,1],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","MTL"
@@ -9910,10 +10531,12 @@
 "MTL0","ARGSORT","type=f32,ne=[1023,2,1,3],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[1024,2,1,3],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[1025,2,1,3],order=1","support","1","yes","MTL"
+"MTL0","ARGSORT","type=f32,ne=[1025,256,1,1],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2047,2,1,3],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","MTL"
 "MTL0","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","MTL"
+"MTL0","ARGSORT","type=f32,ne=[2048,512,1,1],order=1","support","1","yes","MTL"
 "MTL0","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","MTL"
 "MTL0","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","MTL"
 "MTL0","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","MTL"
@@ -10279,7 +10902,7 @@
 "MTL0","PAD","type=f32,ne_a=[512,512,3,1],lp0=1,rp0=1,lp1=1,rp1=1,lp2=1,rp2=1,lp3=1,rp3=1,tfrm=0,circular=0","support","0","no","MTL"
 "MTL0","PAD_REFLECT_1D","type=f32,ne_a=[512,34,2,1],pad_0=10,pad_1=9","support","1","yes","MTL"
 "MTL0","PAD_REFLECT_1D","type=f32,ne_a=[3000,384,4,1],pad_0=10,pad_1=9","support","1","yes","MTL"
-"MTL0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","0","no","MTL"
+"MTL0","ROLL","shift0=3,shift1=-2,shift3=1,shift4=-1","support","1","yes","MTL"
 "MTL0","ARANGE","type=f32,start=0.000000,stop=10.000000,step=1.000000","support","1","yes","MTL"
 "MTL0","ARANGE","type=f32,start=0.000000,stop=1048576.000000,step=1.000000","support","1","yes","MTL"
 "MTL0","TIMESTEP_EMBEDDING","type=f32,ne_a=[2,1,1,1],dim=320,max_period=10000","support","1","yes","MTL"
@@ -10299,7 +10922,10 @@
 "MTL0","CUMSUM","type=f32,ne=[242004,1,1,1]","support","1","yes","MTL"
 "MTL0","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","MTL"
 "MTL0","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","MTL"
-"MTL0","XIELU","type=f32,ne=[10,5,4,3]","support","0","no","MTL"
+"MTL0","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","MTL"
+"MTL0","XIELU","type=f16,ne=[10,5,4,3]","support","1","yes","MTL"
+"MTL0","XIELU","type=f32,ne=[512,16,1,1]","support","1","yes","MTL"
+"MTL0","XIELU","type=f16,ne=[512,16,1,1]","support","1","yes","MTL"
 "MTL0","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","MTL"
 "MTL0","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","MTL"
 "MTL0","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","MTL"
@@ -10573,1684 +11199,3028 @@
 "MTL0","FLASH_ATTN_EXT","hsk=40,hsv=40,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
-"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=80,hsv=80,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
@@ -13595,6 +15565,118 @@
 "MTL0","FLASH_ATTN_EXT","hsk=320,hsv=256,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=320,hsv=256,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=320,hsv=256,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=1,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
+"MTL0","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
 "MTL0","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","MTL"
diff --git a/docs/ops/WebGPU.csv b/docs/ops/WebGPU.csv
index 3b8a27ce8..681434bc7 100644
--- a/docs/ops/WebGPU.csv
+++ b/docs/ops/WebGPU.csv
@@ -334,10 +334,18 @@
 "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=q8_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=q1_0,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=mxfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=1,be2=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS","type=nvfp4,n=256,m=5,r=4,be1=7,be2=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=1,be2=1,v=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","GET_ROWS","type=q2_K,n=256,m=5,r=4,be1=7,be2=1,v=0","support","1","yes","WebGPU"
@@ -415,8 +423,12 @@
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q5_1,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q8_0,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS_BACK","type=q1_0,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=mxfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","GET_ROWS_BACK","type=nvfp4,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q2_K,n=256,m=5,r=4,b=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","GET_ROWS_BACK","type=q3_K,n=256,m=5,r=4,b=1,v=0","support","0","no","WebGPU"
@@ -570,6 +582,18 @@
 "WebGPU: WebGPU","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
@@ -582,6 +606,18 @@
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","WebGPU"
@@ -926,94 +962,94 @@
 "WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=1,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=1,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=0,p1=3,d0=1,d1=3,is_2D=1","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=1,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=1,d1=3,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=1,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=0,d0=3,d1=3,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=1,p0=3,p1=3,d0=1,d1=1,is_2D=1","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=0,d0=3,d1=3,is_2D=1","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=1,is_2D=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,20,2,2],ne_kernel=[3,3,2,2],s0=3,s1=3,p0=0,p1=3,d0=3,d1=3,is_2D=1","support","0","no","WebGPU"
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-"WebGPU: WebGPU","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,1024],ne_kernel=[3,3,2,1024],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","0","no","WebGPU"
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@@ -3065,1574 +3101,1574 @@
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=1,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=2,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,2,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,1,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,2,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,2,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,3,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[1,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[2,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[3,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,1,2],ne_kernel=[11,11,1,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,1,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,1],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,1,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,2,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","0","no","WebGPU"
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+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,1,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,3,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[1,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[2,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[1,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[3,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f32,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","CONV_2D","ne_input=[141,133,25,2],ne_kernel=[11,11,25,12],type_kernel=f16,stride0=3,stride1=5,padding0=5,padding1=5,dilation0=2,dilation1=4,cwhn=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONV_2D_DW","ne_input=[17,34,9,1],ne_kernel=[3,3,1,9],stride=1,padding=0,dilation=1,cwhn=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONV_2D_DW","ne_input=[32,8,64,1],ne_kernel=[3,3,1,64],stride=2,padding=1,dilation=1,cwhn=0","support","0","no","WebGPU"
@@ -5011,9 +5047,12 @@
 "WebGPU: WebGPU","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_TRANSPOSE_2D","ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_TRANSPOSE_2D","ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","WebGPU"
-"WebGPU: WebGPU","CONV_TRANSPOSE_2D","ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","WebGPU"
+"WebGPU: WebGPU","CONV_TRANSPOSE_2D","kernel_type=f16,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","COUNT_EQUAL","type=f32,ne=[4,500,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","COUNT_EQUAL","type=f32,ne=[4,5000,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","ARGMAX","type=f32,ne=[32,1,1,1]","support","1","yes","WebGPU"
@@ -5141,6 +5180,15 @@
 "WebGPU: WebGPU","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q8_0,type_dst=q8_0,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=q1_0,ne=[384,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[32,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
@@ -5150,6 +5198,15 @@
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=mxfp4,ne=[96,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[64,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[128,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=nvfp4,ne=[192,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q2_K,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,3,1,2],permute_dst=[0,2,1,3],_src_transpose=0","support","0","no","WebGPU"
@@ -5292,8 +5349,12 @@
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
@@ -5338,8 +5399,12 @@
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=bf16,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=bf16,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
@@ -5384,8 +5449,12 @@
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q5_1,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q8_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q8_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f32,type_dst=q1_0,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f32,type_dst=q1_0,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=mxfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=mxfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f32,type_dst=nvfp4,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=f32,type_dst=nvfp4,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q2_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q2_K,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=f32,type_dst=q3_K,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
@@ -5430,8 +5499,12 @@
 "WebGPU: WebGPU","CPY","type_src=q5_1,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q8_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q8_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=q1_0,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=mxfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","CPY","type_src=nvfp4,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q2_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q2_K,type_dst=f32,ne=[256,2,3,4],permute_src=[0,2,1,3],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","CPY","type_src=q3_K,type_dst=f32,ne=[256,4,4,4],permute_src=[0,0,0,0],permute_dst=[0,0,0,0],_src_transpose=0","support","0","no","WebGPU"
@@ -5874,8 +5947,6 @@
 "WebGPU: WebGPU","SUB","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MUL","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","DIV","type=f32,ne=[64,262144,1,1],nr=[1,1,1,1],nf=1,perm1=0","support","1","yes","WebGPU"
-"WebGPU: WebGPU","ADD1","type=f32,ne=[10,5,4,3]","support","0","no","WebGPU"
-"WebGPU: WebGPU","ADD1","type=f32,ne=[1024,1024,1,1]","support","0","no","WebGPU"
 "WebGPU: WebGPU","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=0.000000,inplace=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SCALE","type=f32,ne=[10,10,10,10],scale=2.000000,bias=1.000000,inplace=1","support","1","yes","WebGPU"
@@ -5997,9 +6068,9 @@
 "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[72,2048,1,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","SSM_CONV","type=f32,ne_a=[72,2048,4,1],ne_b=[9,2048,1,1]","support","1","yes","WebGPU"
-"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","0","no","WebGPU"
-"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","WebGPU"
-"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","0","no","WebGPU"
+"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=16,head_dim=1,n_head=1024,n_group=1,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=128,head_dim=64,n_head=16,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU"
+"WebGPU: WebGPU","SSM_SCAN","type=f32,d_state=256,head_dim=64,n_head=8,n_group=2,n_seq_tokens=32,n_seqs=4","support","1","yes","WebGPU"
 "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=1,n_seqs=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","RWKV_WKV6","type=f32,head_count=32,head_size=64,n_seq_tokens=32,n_seqs=4","support","0","no","WebGPU"
@@ -6084,6 +6155,15 @@
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
@@ -6093,6 +6173,15 @@
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=mxfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=4,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=5,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=6,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=7,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=8,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=nvfp4,type_b=f32,m=16,n=9,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=2,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q2_K,type_b=f32,m=16,n=3,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","WebGPU"
@@ -6513,6 +6602,68 @@
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=16,k=1024,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
 "WebGPU: WebGPU","MUL_MAT","type_a=q8_0,type_b=f16,m=16,n=8,k=256,bs=[1536,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=1,k=256,bs=[3,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
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+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[1,1],nr=[1,2],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
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+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,1],nr=[2,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
+"WebGPU: WebGPU","MUL_MAT","type_a=q1_0,type_b=f32,m=16,n=16,k=256,bs=[3,2],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","0","no","WebGPU"
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@@ -6761,6 +6912,68 @@
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@@ -6831,6 +7044,8 @@
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@@ -6865,7 +7080,9 @@
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@@ -7265,446 +7482,518 @@
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+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,1],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[1,3],nr=[2,2],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,1],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[1,2],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,1],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,1],nr=[2,2],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,1],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[1,2],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,1],trans_b=0","support","0","no","WebGPU"
+"WebGPU: WebGPU","OUT_PROD","type_a=nvfp4,type_b=f16,m=256,n=16,k=16,bs=[3,3],nr=[2,2],trans_b=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,1],trans_b=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[1,2],trans_b=0","support","0","no","WebGPU"
 "WebGPU: WebGPU","OUT_PROD","type_a=iq2_xxs,type_b=f32,m=256,n=1,k=1,bs=[1,1],nr=[2,1],trans_b=0","support","0","no","WebGPU"
@@ -9863,10 +10482,12 @@
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1023,2,1,3],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1024,2,1,3],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1025,2,1,3],order=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ARGSORT","type=f32,ne=[1025,256,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2047,2,1,3],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2048,2,1,3],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2049,2,1,3],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2,8,8192,1],order=0","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ARGSORT","type=f32,ne=[2048,512,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","WebGPU"
@@ -9910,10 +10531,12 @@
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1023,2,1,3],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1024,2,1,3],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[1025,2,1,3],order=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ARGSORT","type=f32,ne=[1025,256,1,1],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2047,2,1,3],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2048,2,1,3],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2049,2,1,3],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","ARGSORT","type=f32,ne=[2,8,8192,1],order=1","support","1","yes","WebGPU"
+"WebGPU: WebGPU","ARGSORT","type=f32,ne=[2048,512,1,1],order=1","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TOP_K","type=f32,ne=[1,1,1,1],k=1,ties=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TOP_K","type=f32,ne=[12,1,2,1],k=1,ties=0","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TOP_K","type=f32,ne=[2,1,1,1],k=1,ties=0","support","1","yes","WebGPU"
@@ -10300,6 +10923,9 @@
 "WebGPU: WebGPU","CUMSUM","type=f32,ne=[375960,1,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","CUMSUM","type=f32,ne=[20481,4,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","XIELU","type=f32,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","XIELU","type=f16,ne=[10,5,4,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","XIELU","type=f32,ne=[512,16,1,1]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","XIELU","type=f16,ne=[512,16,1,1]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=3","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=2","support","1","yes","WebGPU"
 "WebGPU: WebGPU","TRI","type=f32,ne=[10,10,4,3],tri_type=1","support","1","yes","WebGPU"
@@ -10575,22 +11201,38 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
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@@ -10599,8 +11241,16 @@
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@@ -10609,8 +11259,16 @@
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@@ -10619,8 +11277,16 @@
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@@ -10629,28 +11295,52 @@
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@@ -10659,8 +11349,16 @@
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -10669,8 +11367,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -10679,8 +11385,16 @@
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@@ -10689,28 +11403,52 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -10719,8 +11457,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -10729,8 +11475,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -10739,8 +11493,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -10749,28 +11511,52 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -10779,8 +11565,16 @@
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@@ -10789,8 +11583,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -10799,8 +11601,16 @@
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@@ -10809,188 +11619,340 @@
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@@ -10999,8 +11961,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11009,8 +11979,16 @@
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@@ -11019,8 +11997,16 @@
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@@ -11029,28 +12015,52 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
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@@ -11059,8 +12069,16 @@
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@@ -11069,8 +12087,16 @@
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@@ -11079,8 +12105,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11089,28 +12123,52 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11119,8 +12177,16 @@
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@@ -11129,8 +12195,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11139,8 +12213,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11149,28 +12231,52 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,3],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11179,8 +12285,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11189,8 +12303,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11199,8 +12321,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[4,3],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11209,508 +12339,916 @@
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
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 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11719,8 +13257,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11729,8 +13275,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11739,8 +13293,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
@@ -11749,28 +13311,52 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q8_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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@@ -11779,8 +13365,16 @@
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@@ -11789,8 +13383,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11799,8 +13401,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11809,108 +13419,196 @@
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@@ -11919,8 +13617,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11929,8 +13635,16 @@
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=bf16,permute=[0,2,1,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_0,permute=[0,2,1,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_1,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q4_0,permute=[0,1,2,3]","support","1","yes","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f32,permute=[0,2,1,3]","support","1","yes","WebGPU"
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@@ -11939,8 +13653,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=q5_1,permute=[0,1,2,3]","support","0","no","WebGPU"
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11949,28 +13671,52 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,1,2,3]","support","0","no","WebGPU"
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@@ -11979,8 +13725,16 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=iq4_nl,permute=[0,2,1,3]","support","0","no","WebGPU"
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@@ -11989,8 +13743,16 @@
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@@ -11999,8 +13761,16 @@
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@@ -12009,248 +13779,448 @@
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@@ -13595,6 +15565,118 @@
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+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,2,1,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=1,sinks=0,max_bias=8.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=113,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[1,1],kv=1024,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=3,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=32,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
+"WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=512,hsv=512,nh=4,nr23=[4,1],kv=512,nb=75,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=1,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=3,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
 "WebGPU: WebGPU","FLASH_ATTN_EXT","hsk=576,hsv=512,nh=1,nr23=[1,1],kv=113,nb=32,mask=1,sinks=1,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_KV=f16,permute=[0,1,2,3]","support","1","yes","WebGPU"
diff --git a/docs/speculative.md b/docs/speculative.md
index 29da33287..fb6ef0306 100644
--- a/docs/speculative.md
+++ b/docs/speculative.md
@@ -33,18 +33,18 @@ An example to use this approach can be the rewriting of source code by a LLM.
 This implementation looks for the last n-gram in history that matches the current n-gram and creates a draft using the m tokens following the matched n-gram. It is the simplest self-speculative approach with minimal overhead.
 
 ```
-llama-server [...] --spec-type ngram-simple --draft-max 64
+llama-server [...] --spec-type ngram-simple --spec-draft-n-max 64
 ```
 
 #### n-gram Map Key (`ngram-map-k`)
 
-This implementation looks for the current n-gram of size n (called the _key_) in the token history. If the key n-gram is followed by the same m tokens (called the _mgram_) multiple times, it creates a draft using these m tokens. This approach requires a minimum number of occurrences (argument `--spec-ngram-min-hits`, default is 1) before generating drafts.
+This implementation looks for the current n-gram of size n (called the _key_) in the token history. If the key n-gram is followed by the same m tokens (called the _mgram_) multiple times, it creates a draft using these m tokens. This approach requires a minimum number of occurrences (argument `--spec-ngram-map-k-min-hits`, default is 1) before generating drafts.
 
 The number of accepted tokens is stored for each used n-gram.
 
 **Example:**
 ```
-llama-server [...] --spec-type ngram-map-k --draft-max 64
+llama-server [...] --spec-type ngram-map-k --spec-draft-n-max 64
 ```
 
 #### n-gram Map Key-4-Values (`ngram-map-k4v`)
@@ -55,7 +55,7 @@ The number of accepted tokens is stored for each used n-gram.
 
 **Example:** Server options to be used if there are a lot of longer repetitions.
 ```
-llama-server [...] --spec-type ngram-map-k4v --spec-ngram-size-n 8 --spec-ngram-size-m 8 --spec-ngram-min-hits 2 --draft-max 64
+llama-server [...] --spec-type ngram-map-k4v --spec-ngram-map-k4v-size-n 8 --spec-ngram-map-k4v-size-m 8 --spec-ngram-map-k4v-min-hits 2 --spec-draft-n-max 64
 ```
 
 ### n-gram Mod (`ngram-mod`)
@@ -80,9 +80,9 @@ Currently, a single hash pool is shared across all server slots, so different re
 # notes:
 # - small `n` are not recommended
 # - MoEs require long drafts
-# - dense models: can reduce `--draft-min` and `--draft-max`
+# - dense models: can reduce `--spec-ngram-mod-n-min` and `--spec-ngram-mod-n-max`
 
-llama-server ... --spec-type ngram-mod --spec-ngram-size-n 24 --draft-min 48 --draft-max 64
+llama-server ... --spec-type ngram-mod --spec-ngram-mod-n-match 24 --spec-ngram-mod-n-min 48 --spec-ngram-mod-n-max 64
 ```
 
 Applications:
@@ -105,21 +105,90 @@ Example Video:
 
 If a draft model is combined with a draftless decoding the draftless decoding has higher precedence.
 
+### General Speculative Parameters
+
 ```
---draft, --draft-n, --draft-max N       number of tokens to draft for speculative decoding (default: 16)
-                                        (env: LLAMA_ARG_DRAFT_MAX)
---draft-min, --draft-n-min N            minimum number of draft tokens to use for speculative decoding
-                                        (default: 0)
-                                        (env: LLAMA_ARG_DRAFT_MIN)
-[...]
 --spec-type [none|ngram-cache|ngram-simple|ngram-map-k|ngram-map-k4v|ngram-mod]
                                         type of speculative decoding to use when no draft model is provided
                                         (default: none)
---spec-ngram-size-n N                   ngram size N for ngram-simple/ngram-map speculative decoding, length
-                                        of lookup n-gram (default: 12)
---spec-ngram-size-m N                   ngram size M for ngram-simple/ngram-map speculative decoding, length
-                                        of draft m-gram (default: 48)
---spec-ngram-min-hits N                 minimum hits for ngram-map speculative decoding (default: 1)
+                                        (env: LLAMA_ARG_SPEC_TYPE)
+--spec-default                          use default speculative decoding
+```
+
+### Draft Model Parameters
+
+```
+--spec-draft-model, -md, --model-draft  FNAME
+                                        draft model for speculative decoding (default: unused)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_MODEL)
+--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft  <user>/<model>[:quant]
+                                        HuggingFace repository for the draft model
+--spec-draft-n-max                      N
+                                        number of tokens to draft for speculative decoding (default: 16)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_N_MAX)
+--spec-draft-n-min                      N
+                                        minimum number of draft tokens to use for speculative decoding (default: 0)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_N_MIN)
+--spec-draft-p-split, --draft-p-split   P
+                                        speculative decoding split probability (default: 0.10)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT)
+--spec-draft-p-min, --draft-p-min       P
+                                        minimum speculative decoding probability (greedy) (default: 0.75)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_P_MIN)
+--spec-draft-ctx-size, -cd, --ctx-size-draft  N
+                                        size of the prompt context for the draft model (default: 0, 0 = loaded from model)
+                                        (env: LLAMA_ARG_SPEC_DRAFT_CTX_SIZE)
+--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft  N
+                                        max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)
+                                        (env: LLAMA_ARG_N_GPU_LAYERS_DRAFT)
+--spec-draft-device, -devd, --device-draft  <dev1,dev2,..>
+                                        comma-separated list of devices to use for offloading the draft model
+--spec-draft-replace, --spec-replace    TARGET  DRAFT
+                                        translate the string in TARGET into DRAFT if the draft model and main model are not compatible
+```
+
+### n-gram Mod Parameters
+
+```
+--spec-ngram-mod-n-match                N
+                                        ngram-mod lookup length (default: 24)
+--spec-ngram-mod-n-min                  N
+                                        minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48)
+--spec-ngram-mod-n-max                  N
+                                        maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64)
+```
+
+### n-gram Simple Parameters
+
+```
+--spec-ngram-simple-size-n              N
+                                        ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12)
+--spec-ngram-simple-size-m              N
+                                        ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48)
+--spec-ngram-simple-min-hits            N
+                                        minimum hits for ngram-simple speculative decoding (default: 1)
+```
+
+### n-gram Map Key Parameters
+
+```
+--spec-ngram-map-k-size-n               N
+                                        ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12)
+--spec-ngram-map-k-size-m               N
+                                        ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48)
+--spec-ngram-map-k-min-hits             N
+                                        minimum hits for ngram-map-k speculative decoding (default: 1)
+```
+
+### n-gram Map Key-4-Values Parameters
+
+```
+--spec-ngram-map-k4v-size-n             N
+                                        ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12)
+--spec-ngram-map-k4v-size-m             N
+                                        ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48)
+--spec-ngram-map-k4v-min-hits           N
+                                        minimum hits for ngram-map-k4v speculative decoding (default: 1)
 ```
 
 ### `--spec-type TYPE`
@@ -140,21 +209,40 @@ Specifies a type of speculative decoding without draft model.
 ./llama-server [...] --spec-type ngram-simple
 ```
 
-### `--spec-ngram-size-n N`
+### `--spec-ngram-*-size-n N`
 
 Sets the size N of the lookup n-gram for n-gram map based speculative decoding.
 The n-gram size N determines how many tokens in a row to look back when searching for matching patterns.
 
-### `--spec-ngram-size-m M`
+Each n-gram implementation has its own parameter:
+
+- `--spec-ngram-simple-size-n` for `ngram-simple`
+- `--spec-ngram-map-k-size-n` for `ngram-map-k`
+- `--spec-ngram-map-k4v-size-n` for `ngram-map-k4v`
+- `--spec-ngram-mod-n-match` for `ngram-mod`
+
+### `--spec-ngram-*-size-m M`
 
 Sets the size M of the draft m-gram for n-gram map based speculative decoding.
 The m-gram size determines how many tokens to draft when a match is found.
 Larger values can provide more speedup but may reduce acceptance rate.
 
-### `--spec-ngram-min-hits H`
+Each n-gram implementation has its own parameter:
+
+- `--spec-ngram-simple-size-m` for `ngram-simple`
+- `--spec-ngram-map-k-size-m` for `ngram-map-k`
+- `--spec-ngram-map-k4v-size-m` for `ngram-map-k4v`
+
+### `--spec-ngram-*-min-hits H`
 
 This option defines how often a key has to appear in the token history to be used as a draft (default is 1).
 
+Each n-gram implementation has its own parameter:
+
+- `--spec-ngram-simple-min-hits` for `ngram-simple`
+- `--spec-ngram-map-k-min-hits` for `ngram-map-k`
+- `--spec-ngram-map-k4v-min-hits` for `ngram-map-k4v`
+
 ## Statistics
 Each speculative decoding implementation prints statistics.
 
@@ -180,4 +268,3 @@ statistics ngram_map_k: #calls(b,g,a) = 6 1690 26, #gen drafts = 26, #acc drafts
 - `#gen tokens`: number of tokens generated by this implementation (including rejected tokens)
 - `#acc tokens`: number of tokens accepted by the main model
 - `dur(b,g,a): durations of begin (new prompt), generation and accumulation (process acceptance).
-
diff --git a/examples/batched/CMakeLists.txt b/examples/batched/CMakeLists.txt
index 0d439f498..1d7c2a0f6 100644
--- a/examples/batched/CMakeLists.txt
+++ b/examples/batched/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-batched)
 add_executable(${TARGET} batched.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/convert-llama2c-to-ggml/CMakeLists.txt b/examples/convert-llama2c-to-ggml/CMakeLists.txt
index 44e5f722a..2162da4fd 100644
--- a/examples/convert-llama2c-to-ggml/CMakeLists.txt
+++ b/examples/convert-llama2c-to-ggml/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-convert-llama2c-to-ggml)
 add_executable(${TARGET} convert-llama2c-to-ggml.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/debug/CMakeLists.txt b/examples/debug/CMakeLists.txt
index 34593072b..fb1c7e258 100644
--- a/examples/debug/CMakeLists.txt
+++ b/examples/debug/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-debug)
 add_executable(${TARGET} debug.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/debug/debug.cpp b/examples/debug/debug.cpp
index ec80be19b..761e7a2db 100644
--- a/examples/debug/debug.cpp
+++ b/examples/debug/debug.cpp
@@ -9,6 +9,7 @@
 #include <vector>
 #include <filesystem>
 #include <fstream>
+#include <optional>
 #include <regex>
 
 static void print_usage(int /*argc*/, char ** argv) {
@@ -201,10 +202,14 @@ static bool run(llama_context * ctx, const common_params & params) {
     print_tokenized_prompt(ctx, tokens, params.prompt);
 
     if (params.save_logits) {
-        output_data output {ctx, model, params};
-        std::filesystem::path model_path{params.model.path};
-        std::string model_name{model_path.stem().string()};
-        save_output_data(output, model_name, params.logits_output_dir);
+        try {
+            output_data output {ctx, model, params};
+            std::filesystem::path model_path{params.model.path};
+            std::string model_name{model_path.stem().string()};
+            save_output_data(output, model_name, params.logits_output_dir);
+        } catch (const std::exception & e) {
+            LOG_ERR("%s : error saving logits: %s\n", __func__, e.what());
+        }
     }
 
     return true;
@@ -222,7 +227,10 @@ int main(int argc, char ** argv) {
     llama_backend_init();
     llama_numa_init(params.numa);
 
-    base_callback_data cb_data(params, params.tensor_filter);
+    std::optional<common_debug_cb_user_data> cb_data;
+    if (!params.save_logits) {
+        cb_data.emplace(params, params.tensor_filter);
+    }
 
     auto llama_init = common_init_from_params(params);
 
diff --git a/examples/diffusion/CMakeLists.txt b/examples/diffusion/CMakeLists.txt
index 396549c80..42a84b2df 100644
--- a/examples/diffusion/CMakeLists.txt
+++ b/examples/diffusion/CMakeLists.txt
@@ -1,5 +1,10 @@
+set(TARGET llama-diffusion)
+add_library(${TARGET} STATIC diffusion.cpp diffusion.h)
+target_link_libraries(${TARGET} PUBLIC llama llama-common ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PUBLIC cxx_std_17)
+
 set(TARGET llama-diffusion-cli)
 add_executable(${TARGET} diffusion-cli.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-diffusion llama llama-common ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/diffusion/README.md b/examples/diffusion/README.md
index b39420021..6d2fffd64 100644
--- a/examples/diffusion/README.md
+++ b/examples/diffusion/README.md
@@ -12,11 +12,11 @@ The diffusion CLI supports various parameters to control the generation process:
 ### Core Diffusion Parameters
 - `--diffusion-steps`: Number of diffusion steps (default: 256)
 - `--diffusion-algorithm`: Algorithm for token selection
-  - `0`: ORIGIN - Token will be generated in a purely random order from https://arxiv.org/abs/2107.03006.
-  - `1`: ENTROPY_BASED - Entropy-based selection
-  - `2`: MARGIN_BASED - Margin-based selection
-  - `3`: RANDOM - Random selection
-  - `4`: CONFIDENCE_BASED - Confidence-based selection (default)
+  - `0`: DIFFUSION_ALGORITHM_ORIGIN - Token will be generated in a purely random order from https://arxiv.org/abs/2107.03006.
+  - `1`: DIFFUSION_ALGORITHM_ENTROPY_BASED - Entropy-based selection
+  - `2`: DIFFUSION_ALGORITHM_MARGIN_BASED - Margin-based selection
+  - `3`: DIFFUSION_ALGORITHM_RANDOM - Random selection
+  - `4`: DIFFUSION_ALGORITHM_CONFIDENCE_BASED - Confidence-based selection (default)
   - More documentation here https://github.com/DreamLM/Dream
 - `--diffusion-visual`: Enable live visualization during generation
 
diff --git a/examples/diffusion/diffusion-cli.cpp b/examples/diffusion/diffusion-cli.cpp
index e9780407d..86ebbf88c 100644
--- a/examples/diffusion/diffusion-cli.cpp
+++ b/examples/diffusion/diffusion-cli.cpp
@@ -1,127 +1,23 @@
 #include "arg.h"
 #include "chat.h"
 #include "common.h"
+#include "diffusion.h"
 #include "llama.h"
 #include "log.h"
 
 #include <limits.h>
 
-#include <algorithm>
 #include <clocale>
-#include <cmath>
 #include <cstring>
-#include <limits>
-#include <random>
 #include <string>
 #include <vector>
 
-enum diffusion_algorithm { ORIGIN = 0, ENTROPY_BASED = 1, MARGIN_BASED = 2, RANDOM = 3, CONFIDENCE_BASED = 4 };
-
-// Unified transfer scheduling methods
-enum transfer_schedule {
-    TIMESTEP_BASED = 0,  // Dream-style: (1.0 - s/t) * remaining
-    BLOCK_BASED    = 1,  // LLaDA-style: process in blocks with get_num_transfer_tokens
-};
-
-typedef bool (*diffusion_step_callback_t)(int32_t             step,
-                                          int32_t             total_steps,
-                                          const llama_token * tokens,
-                                          int32_t             n_tokens,
-                                          void *              user_data);
-
-struct diffusion_params {
-    int32_t                   steps                   = 0;
-    float                     temperature             = 0;
-    llama_token               mask_token_id           = LLAMA_TOKEN_NULL;
-    diffusion_step_callback_t step_callback           = nullptr;
-    void *                    step_callback_user_data = nullptr;
-    int32_t                   seed                    = 0;
-    bool                      visual_mode             = false;
-    bool                      shift_logits            = false;  // Shift logits by -1 after decode
-
-    float   top_p = 0.;
-    int32_t top_k = 0.;
-
-    diffusion_algorithm algorithm = CONFIDENCE_BASED;
-    transfer_schedule   schedule  = TIMESTEP_BASED;
-
-    float   cfg_scale        = 0.;     // Config scale for classifier-free guidance
-    float   eps              = 0.;     // Timestep scheduling
-    int32_t block_length     = 0;      // Block size (for block scheduling)
-    float   alg_temp         = 0;      // algorithm temperature (0.0 = deterministic)
-    bool    add_gumbel_noise = false;  // Add gumbel noise to the logits if temp > 0.0
-
-    int32_t max_length = 0;            // Maximum sequence length
-};
-
 struct callback_data {
     diffusion_params *  diff_params;
     const llama_vocab * vocab;
     int32_t             n_input;
 };
 
-static float calculate_confidence(const llama_token_data_array & cur_p,
-                                  diffusion_algorithm            algorithm,
-                                  std::mt19937 &                 rng) {
-    switch (algorithm) {
-        case CONFIDENCE_BASED:
-            return cur_p.data[cur_p.selected].p;  // Selected token probability
-
-        case ENTROPY_BASED:
-            {
-                float       entropy = 0.0f;
-                const float epsilon = 1e-10f;
-                for (size_t i = 0; i < cur_p.size; i++) {
-                    float prob = cur_p.data[i].p;
-                    entropy += prob * logf(prob + epsilon);
-                }
-                return -entropy;  // Higher entropy = lower confidence
-            }
-
-        case MARGIN_BASED:
-            return (cur_p.size > 1) ? cur_p.data[0].p - cur_p.data[1].p : cur_p.data[0].p;
-
-        case RANDOM:
-            {
-                std::uniform_real_distribution<float> uniform(0.0f, 1.0f);
-                return uniform(rng);  // Random confidence
-            }
-
-        case ORIGIN:
-            return cur_p.data[cur_p.selected].p;
-
-        default:
-            return 0.0f;
-    }
-}
-
-// Unified transfer count calculation function
-static int32_t calculate_transfer_count(int32_t                      step,
-                                        int32_t                      total_steps,
-                                        int32_t                      remaining_masked,
-                                        transfer_schedule            schedule,
-                                        float                        eps,
-                                        const std::vector<int32_t> & num_transfer_tokens = {}) {
-    switch (schedule) {
-        case TIMESTEP_BASED:
-            {
-                float t          = 1.0f - (float) step / total_steps * (1.0f - eps);
-                float s          = 1.0f - (float) (step + 1) / total_steps * (1.0f - eps);
-                float p_transfer = (step < total_steps - 1) ? (1.0f - s / t) : 1.0f;
-                return (int32_t) (remaining_masked * p_transfer);
-            }
-
-        case BLOCK_BASED:
-            if (!num_transfer_tokens.empty() && step < (int32_t) num_transfer_tokens.size()) {
-                return num_transfer_tokens[step];
-            }
-            return remaining_masked / (total_steps - step);  // Fallback
-
-        default:
-            return remaining_masked / (total_steps - step);
-    }
-}
-
 static bool diffusion_step_callback(int32_t             step,
                                     int32_t             total_steps,
                                     const llama_token * tokens,
@@ -176,341 +72,6 @@ static bool diffusion_step_callback(int32_t             step,
     return true;
 }
 
-static void add_gumbel_noise(float * logits, int32_t n_vocab, float temperature, std::mt19937 & rng) {
-    if (temperature == 0.0f) {
-        return;
-    }
-
-    std::uniform_real_distribution<double> uniform(0.0, 1.0);
-    for (int32_t i = 0; i < n_vocab; i++) {
-        double noise        = uniform(rng);
-        // Prevent log(0)
-        noise               = std::max(noise, 1e-20);
-        double gumbel_noise = std::pow(-std::log(noise), temperature);
-        logits[i]           = std::exp(logits[i]) / gumbel_noise;
-    }
-}
-
-static std::vector<int32_t> get_num_transfer_tokens(int32_t mask_count, int32_t steps) {
-    std::vector<int32_t> num_transfer_tokens(steps);
-
-    int32_t base      = mask_count / steps;
-    int32_t remainder = mask_count % steps;
-
-    for (int32_t i = 0; i < steps; i++) {
-        num_transfer_tokens[i] = base + (i < remainder ? 1 : 0);
-    }
-
-    return num_transfer_tokens;
-}
-
-static void diffusion_generate(llama_context *          ctx,
-                               const llama_token *      input_tokens,
-                               llama_token *            output_tokens,
-                               int32_t                  n_input,
-                               const diffusion_params & params,
-                               int32_t &                n_generated) {
-    n_generated = 0;
-    if (!ctx || !input_tokens || !output_tokens || n_input <= 0 || params.max_length <= n_input) {
-        return;
-    }
-
-    const llama_model * model = llama_get_model(ctx);
-
-    // Initialize with input and pad with mask tokens
-    std::copy(input_tokens, input_tokens + n_input, output_tokens);
-    std::fill(output_tokens + n_input, output_tokens + params.max_length, params.mask_token_id);
-
-    std::mt19937 rng(params.seed);
-
-    llama_set_causal_attn(ctx, false);
-
-    int32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model));
-
-    std::vector<llama_token_data> candidates(n_vocab);
-    std::vector<llama_token_data> conf_candidates;
-    conf_candidates.reserve(params.max_length);
-    std::vector<int32_t> mask_positions;
-    mask_positions.reserve(params.max_length);
-
-    // Setup sampler chain
-    struct llama_sampler * sampler = llama_sampler_chain_init(llama_sampler_chain_default_params());
-    if (params.top_k > 0) {
-        llama_sampler_chain_add(sampler, llama_sampler_init_top_k(params.top_k));
-    }
-    if (params.top_p < 1.0f) {
-        llama_sampler_chain_add(sampler, llama_sampler_init_top_p(params.top_p, 1));
-    }
-    if (params.temperature > 0.0f) {
-        llama_sampler_chain_add(sampler, llama_sampler_init_temp(params.temperature));
-    }
-    llama_sampler_chain_add(sampler, llama_sampler_init_dist(params.seed));
-
-    struct llama_sampler * dist_sampler = llama_sampler_init_dist(params.seed);
-
-    llama_batch batch = llama_batch_init(params.max_length, 0, 1);
-    batch.n_tokens    = params.max_length;
-
-    // Pre-allocate buffers for CFG if needed
-    int32_t                  logits_size = n_vocab * params.max_length;
-    std::vector<float>       cond_logits_buffer;
-    std::vector<llama_token> un_x_buffer;
-    if (params.cfg_scale > 0.0f) {
-        cond_logits_buffer.resize(logits_size);
-        un_x_buffer.resize(params.max_length);
-    }
-
-    // For block-based processing
-    std::vector<int32_t> num_transfer_tokens;
-    int32_t              num_blocks      = 1;
-    int32_t              steps_per_block = params.steps;
-
-    if (params.schedule == BLOCK_BASED) {
-        GGML_ASSERT(params.max_length % params.block_length == 0);
-        num_blocks = params.max_length / params.block_length;
-        GGML_ASSERT(params.steps % num_blocks == 0);
-        steps_per_block = params.steps / num_blocks;
-    }
-
-    std::vector<float> confidence(params.max_length);
-
-    int64_t total_sampling_time = 0;
-    int64_t total_time          = 0;
-    int64_t time_start          = ggml_time_us();
-
-    for (int block_num = 0; block_num < num_blocks; block_num++) {
-        int32_t block_start = (params.schedule == BLOCK_BASED) ? n_input + block_num * params.block_length : 0;
-        int32_t block_end   = (params.schedule == BLOCK_BASED) ?
-                                  std::min(n_input + (block_num + 1) * params.block_length, params.max_length) :
-                                  params.max_length;
-
-        // Count masked tokens in current block for block-based processing
-        if (params.schedule == BLOCK_BASED) {
-            int32_t block_mask_count = 0;
-            for (int i = block_start; i < block_end; i++) {
-                if (output_tokens[i] == params.mask_token_id) {
-                    block_mask_count++;
-                }
-            }
-            num_transfer_tokens = get_num_transfer_tokens(block_mask_count, steps_per_block);
-        }
-
-        for (int32_t step = 0; step < steps_per_block; step++) {
-            int32_t global_step = block_num * steps_per_block + step;
-
-            if (params.step_callback) {
-                if (!params.step_callback(
-                        global_step, params.steps, output_tokens, params.max_length, params.step_callback_user_data)) {
-                    break;
-                }
-            }
-
-            // Setup batch
-            for (int32_t i = 0; i < params.max_length; i++) {
-                batch.token[i]     = output_tokens[i];
-                batch.pos[i]       = i;
-                batch.n_seq_id[i]  = 1;
-                batch.seq_id[i][0] = 0;
-                batch.logits[i]    = 1;
-            }
-
-            float * logits = nullptr;
-
-            if (params.cfg_scale > 0.0f) {
-                int ret = llama_decode(ctx, batch);
-                if (ret != 0) {
-                    LOG_ERR("Failed to generate conditional");
-                    break;
-                }
-                float * cond_logits_ptr = llama_get_logits(ctx);
-                std::memcpy(cond_logits_buffer.data(), cond_logits_ptr, logits_size * sizeof(float));
-
-                // Unconditional generation (mask input)
-                std::copy(output_tokens, output_tokens + params.max_length, un_x_buffer.begin());
-                for (int32_t i = 0; i < n_input; i++) {
-                    un_x_buffer[i] = params.mask_token_id;
-                }
-
-                for (int32_t i = 0; i < params.max_length; i++) {
-                    batch.token[i] = un_x_buffer[i];
-                }
-                ret = llama_decode(ctx, batch);
-                if (ret != 0) {
-                    LOG_ERR("Failed to generate unconditional");
-                    break;
-                }
-                float * uncond_logits = llama_get_logits(ctx);
-
-                // Apply CFG
-                for (int32_t i = 0; i < logits_size; i++) {
-                    cond_logits_buffer[i] =
-                        uncond_logits[i] + (params.cfg_scale + 1.0f) * (cond_logits_buffer[i] - uncond_logits[i]);
-                }
-                logits = cond_logits_buffer.data();
-            } else {
-                int ret = llama_decode(ctx, batch);
-                if (ret != 0) {
-                    LOG_ERR("%s: failed to decode at step %d, ret = %d\n", __func__, global_step, ret);
-                    break;
-                }
-                logits = llama_get_logits(ctx);
-            }
-
-            if (!logits) {
-                LOG_ERR("%s: failed to get logits at step %d\n", __func__, global_step);
-                break;
-            }
-
-            auto get_logits_for_pos = [&](int32_t pos) -> const float * {
-                if (params.shift_logits) {
-                    return pos == 0 ? logits : logits + (pos - 1) * n_vocab;
-                }
-                return logits + (pos) *n_vocab;
-            };
-
-            int64_t time_start_sampling = ggml_time_us();
-
-            mask_positions.clear();
-            for (int32_t i = 0; i < params.max_length; i++) {
-                if (output_tokens[i] == params.mask_token_id) {
-                    // For block-based, only consider current block
-                    if (params.schedule != BLOCK_BASED || (i >= block_start && i < block_end)) {
-                        mask_positions.push_back(i);
-                    }
-                }
-            }
-
-            if (mask_positions.empty()) {
-                break;
-            }
-
-            if (params.add_gumbel_noise && params.temperature > 0.0f) {
-                add_gumbel_noise(logits, n_vocab, params.temperature, rng);
-            }
-
-            if (params.algorithm == ORIGIN) {
-                int32_t transfer_count = calculate_transfer_count(
-                    step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens);
-                float p_transfer = (float) transfer_count / mask_positions.size();
-
-                for (int32_t pos : mask_positions) {
-                    if (std::uniform_real_distribution<float>(0.0f, 1.0f)(rng) < p_transfer) {
-                        const float * pos_logits = get_logits_for_pos(pos);
-                        for (int32_t token_id = 0; token_id < n_vocab; token_id++) {
-                            candidates[token_id].id    = token_id;
-                            candidates[token_id].logit = pos_logits[token_id];
-                            candidates[token_id].p     = 0.0f;
-                        }
-
-                        llama_token_data_array cur_p = {
-                            candidates.data(),
-                            (size_t) n_vocab,
-                            -1,
-                            false,
-                        };
-
-                        llama_sampler_apply(sampler, &cur_p);
-                        output_tokens[pos] = cur_p.data[cur_p.selected].id;
-                    }
-                }
-            } else {
-                std::vector<std::pair<float, int32_t>> confidences;
-                std::vector<llama_token>               sampled_tokens(mask_positions.size());
-
-                for (size_t i = 0; i < mask_positions.size(); i++) {
-                    int32_t       pos        = mask_positions[i];
-                    const float * pos_logits = get_logits_for_pos(pos);
-
-                    for (int32_t token_id = 0; token_id < n_vocab; token_id++) {
-                        candidates[token_id].logit = pos_logits[token_id];
-                        candidates[token_id].p     = 0.0f;
-                        candidates[token_id].id    = token_id;
-                    }
-
-                    llama_token_data_array cur_p = {
-                        candidates.data(),
-                        candidates.size(),
-                        -1,
-                        false,
-                    };
-
-                    llama_sampler_apply(sampler, &cur_p);
-                    llama_token sampled_token = cur_p.data[cur_p.selected].id;
-
-                    float conf = calculate_confidence(cur_p, params.algorithm, rng);
-
-                    sampled_tokens[i] = sampled_token;
-                    confidences.emplace_back(conf, i);
-                }
-
-                int32_t transfer_count = calculate_transfer_count(
-                    step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens);
-
-                if (transfer_count > 0) {
-                    if (params.alg_temp == 0.0f) {
-                        std::partial_sort(confidences.begin(),
-                                          confidences.begin() + std::min(transfer_count, (int32_t) confidences.size()),
-                                          confidences.end(),
-                                          [](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) {
-                                              if (a.first != b.first) {
-                                                  return a.first > b.first;
-                                              }
-                                              return a.second < b.second;
-                                          });
-
-                        for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) {
-                            int32_t mask_idx   = confidences[i].second;
-                            int32_t pos        = mask_positions[mask_idx];
-                            output_tokens[pos] = sampled_tokens[mask_idx];
-                        }
-                    } else {
-                        conf_candidates.clear();
-                        for (size_t i = 0; i < confidences.size(); i++) {
-                            float conf_logit = confidences[i].first / params.alg_temp;
-                            conf_candidates.emplace_back(llama_token_data{ (int32_t) i, conf_logit, 0.0f });
-                        }
-
-                        llama_token_data_array conf_array = {
-                            conf_candidates.data(),
-                            conf_candidates.size(),
-                            -1,
-                            false,
-                        };
-
-                        for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) {
-                            llama_sampler_apply(dist_sampler, &conf_array);
-                            int32_t selected_idx = conf_array.selected;
-                            int32_t mask_idx     = selected_idx;
-                            int32_t pos          = mask_positions[mask_idx];
-                            output_tokens[pos]   = sampled_tokens[mask_idx];
-
-                            conf_candidates[selected_idx].p = 0.0f;
-                            conf_array.selected             = -1;
-                        }
-                    }
-                }
-            }
-
-            int64_t time_end_sampling = ggml_time_us();
-            total_sampling_time += time_end_sampling - time_start_sampling;
-        }
-    }
-
-    int64_t time_end = ggml_time_us();
-    total_time += time_end - time_start;
-
-    LOG_INF("\ntotal time: %0.2fms, time per step: %0.2fms, sampling time per step: %0.2fms\n",
-            total_time / 1000.0,
-            total_time / 1000.0 / params.steps,
-            total_sampling_time / 1000.0 / params.steps);
-
-    llama_batch_free(batch);
-    llama_sampler_free(sampler);
-    llama_sampler_free(dist_sampler);
-
-    n_generated = params.max_length;
-}
-
 static std::string format_input_text(const std::string & prompt, const std::string & system_prompt, bool use_chat_template, llama_model * model) {
     if (!use_chat_template) {
         return prompt;
@@ -602,8 +163,8 @@ int main(int argc, char ** argv) {
 
     int n_input = input_tokens.size();
 
-    if (n_input >= params.n_ctx) {
-        LOG_ERR("error: input too long (%d tokens), max context is %d\n", n_input, params.n_ctx);
+    if (static_cast<uint32_t>(n_input) >= llama_n_ctx(ctx)) {
+        LOG_ERR("error: input too long (%d tokens), max context is %d\n", n_input, llama_n_ctx(ctx));
         llama_free(ctx);
         llama_model_free(model);
         return 1;
@@ -631,10 +192,10 @@ int main(int argc, char ** argv) {
     GGML_ASSERT((params.diffusion.eps == 0) ^ (params.diffusion.block_length == 0));
 
     if (params.diffusion.eps) {
-        diff_params.schedule = TIMESTEP_BASED;
+        diff_params.schedule = DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED;
         diff_params.eps      = params.diffusion.eps;
     } else if (params.diffusion.block_length) {
-        diff_params.schedule     = BLOCK_BASED;
+        diff_params.schedule     = DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED;
         diff_params.block_length = params.diffusion.block_length;
     }
 
@@ -653,8 +214,17 @@ int main(int argc, char ** argv) {
     callback_data cb_data               = { &diff_params, vocab, n_input };
     diff_params.step_callback_user_data = &cb_data;
 
-    const char * alg_names[]   = { "ORIGIN", "ENTROPY_BASED", "MARGIN_BASED", "RANDOM", "CONFIDENCE_BASED" };
-    const char * sched_names[] = { "TIMESTEP_BASED", "BLOCK_BASED" };
+    const char * alg_names[]   = {
+        "DIFFUSION_ALGORITHM_ORIGIN",
+        "DIFFUSION_ALGORITHM_ENTROPY_BASED",
+        "DIFFUSION_ALGORITHM_MARGIN_BASED",
+        "DIFFUSION_ALGORITHM_RANDOM",
+        "DIFFUSION_ALGORITHM_CONFIDENCE_BASED",
+    };
+    const char * sched_names[] = {
+        "DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED",
+        "DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED",
+    };
     const char * alg_name =
         (diff_params.algorithm >= 0 && diff_params.algorithm <= 4) ? alg_names[diff_params.algorithm] : "UNKNOWN";
     const char * sched_name =
@@ -666,11 +236,11 @@ int main(int argc, char ** argv) {
     LOG_INF("diffusion_params: - %-25s enum             = %d (%s)\n", "algorithm", diff_params.algorithm, alg_name);
     LOG_INF("diffusion_params: - %-25s enum             = %d (%s)\n", "schedule", diff_params.schedule, sched_name);
     LOG_INF("diffusion_params: - %-25s f32              = %.3f\n", "temperature", diff_params.temperature);
-    if (diff_params.schedule == TIMESTEP_BASED) {
+    if (diff_params.schedule == DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED) {
         LOG_INF("diffusion_params: - %-25s f32              = %.6f\n", "eps", diff_params.eps);
         LOG_INF("diffusion_params: - %-25s f32              = %.3f\n", "alg_temp", diff_params.alg_temp);
     }
-    if (diff_params.schedule == BLOCK_BASED) {
+    if (diff_params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) {
         LOG_INF("diffusion_params: - %-25s u32              = %d\n", "block_length", diff_params.block_length);
         LOG_INF("diffusion_params: - %-25s f32              = %.3f\n", "cfg_scale", diff_params.cfg_scale);
     }
diff --git a/examples/diffusion/diffusion.cpp b/examples/diffusion/diffusion.cpp
new file mode 100644
index 000000000..97d6b6944
--- /dev/null
+++ b/examples/diffusion/diffusion.cpp
@@ -0,0 +1,408 @@
+#include "diffusion.h"
+
+#include "log.h"
+
+#include <algorithm>
+#include <cstddef>
+#include <cmath>
+#include <cstring>
+#include <random>
+#include <utility>
+#include <vector>
+
+static float calculate_confidence(const llama_token_data_array & cur_p,
+                                  diffusion_algorithm            algorithm,
+                                  std::mt19937 &                 rng) {
+    switch (algorithm) {
+        case DIFFUSION_ALGORITHM_CONFIDENCE_BASED:
+            return cur_p.data[cur_p.selected].p;  // Selected token probability
+
+        case DIFFUSION_ALGORITHM_ENTROPY_BASED:
+            {
+                float       entropy = 0.0f;
+                const float epsilon = 1e-10f;
+                for (size_t i = 0; i < cur_p.size; i++) {
+                    float prob = cur_p.data[i].p;
+                    entropy += prob * logf(prob + epsilon);
+                }
+                return -entropy;  // Higher entropy = lower confidence
+            }
+
+        case DIFFUSION_ALGORITHM_MARGIN_BASED:
+            return (cur_p.size > 1) ? cur_p.data[0].p - cur_p.data[1].p : cur_p.data[0].p;
+
+        case DIFFUSION_ALGORITHM_RANDOM:
+            {
+                std::uniform_real_distribution<float> uniform(0.0f, 1.0f);
+                return uniform(rng);  // Random confidence
+            }
+
+        case DIFFUSION_ALGORITHM_ORIGIN:
+            return cur_p.data[cur_p.selected].p;
+
+        default:
+            return 0.0f;
+    }
+}
+
+// Unified transfer count calculation function
+static int32_t calculate_transfer_count(int32_t                      step,
+                                        int32_t                      total_steps,
+                                        int32_t                      remaining_masked,
+                                        diffusion_transfer_schedule  schedule,
+                                        float                        eps,
+                                        const std::vector<int32_t> & num_transfer_tokens = {}) {
+    switch (schedule) {
+        case DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED:
+            {
+                float t          = 1.0f - (float) step / total_steps * (1.0f - eps);
+                float s          = 1.0f - (float) (step + 1) / total_steps * (1.0f - eps);
+                float p_transfer = (step < total_steps - 1) ? (1.0f - s / t) : 1.0f;
+                return (int32_t) (remaining_masked * p_transfer);
+            }
+
+        case DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED:
+            if (!num_transfer_tokens.empty() && step < (int32_t) num_transfer_tokens.size()) {
+                return num_transfer_tokens[step];
+            }
+            return remaining_masked / (total_steps - step);  // Fallback
+
+        default:
+            return remaining_masked / (total_steps - step);
+    }
+}
+
+static void add_gumbel_noise(float * logits, int32_t n_vocab, float temperature, std::mt19937 & rng) {
+    if (temperature == 0.0f) {
+        return;
+    }
+
+    std::uniform_real_distribution<double> uniform(0.0, 1.0);
+    for (int32_t i = 0; i < n_vocab; i++) {
+        double noise        = uniform(rng);
+        // Prevent log(0)
+        noise               = std::max(noise, 1e-20);
+        double gumbel_noise = std::pow(-std::log(noise), temperature);
+        logits[i]           = std::exp(logits[i]) / gumbel_noise;
+    }
+}
+
+static std::vector<int32_t> get_num_transfer_tokens(int32_t mask_count, int32_t steps) {
+    std::vector<int32_t> num_transfer_tokens(steps);
+
+    int32_t base      = mask_count / steps;
+    int32_t remainder = mask_count % steps;
+
+    for (int32_t i = 0; i < steps; i++) {
+        num_transfer_tokens[i] = base + (i < remainder ? 1 : 0);
+    }
+
+    return num_transfer_tokens;
+}
+
+void diffusion_generate(llama_context *          ctx,
+                        const llama_token *      input_tokens,
+                        llama_token *            output_tokens,
+                        int32_t                  n_input,
+                        const diffusion_params & params,
+                        int32_t &                n_generated) {
+    n_generated = 0;
+    if (!ctx || !input_tokens || !output_tokens || n_input <= 0 || params.max_length <= n_input) {
+        return;
+    }
+
+    const llama_model * model = llama_get_model(ctx);
+
+    // Initialize with input and pad with mask tokens
+    std::copy(input_tokens, input_tokens + n_input, output_tokens);
+    std::fill(output_tokens + n_input, output_tokens + params.max_length, params.mask_token_id);
+
+    std::mt19937 rng(params.seed);
+
+    llama_set_causal_attn(ctx, false);
+
+    int32_t n_vocab = llama_vocab_n_tokens(llama_model_get_vocab(model));
+
+    std::vector<llama_token_data> candidates(n_vocab);
+    std::vector<llama_token_data> conf_candidates;
+    conf_candidates.reserve(params.max_length);
+    std::vector<int32_t> mask_positions;
+    mask_positions.reserve(params.max_length);
+
+    // Setup sampler chain
+    struct llama_sampler * sampler = llama_sampler_chain_init(llama_sampler_chain_default_params());
+    if (params.top_k > 0) {
+        llama_sampler_chain_add(sampler, llama_sampler_init_top_k(params.top_k));
+    }
+    if (params.top_p < 1.0f) {
+        llama_sampler_chain_add(sampler, llama_sampler_init_top_p(params.top_p, 1));
+    }
+    if (params.temperature > 0.0f) {
+        llama_sampler_chain_add(sampler, llama_sampler_init_temp(params.temperature));
+    }
+    llama_sampler_chain_add(sampler, llama_sampler_init_dist(params.seed));
+
+    struct llama_sampler * dist_sampler = llama_sampler_init_dist(params.seed);
+
+    llama_batch batch = llama_batch_init(params.max_length, 0, 1);
+    batch.n_tokens    = params.max_length;
+
+    // Pre-allocate buffers for CFG if needed
+    int32_t                  logits_size = n_vocab * params.max_length;
+    std::vector<float>       cond_logits_buffer;
+    std::vector<llama_token> un_x_buffer;
+    if (params.cfg_scale > 0.0f) {
+        cond_logits_buffer.resize(logits_size);
+        un_x_buffer.resize(params.max_length);
+    }
+
+    // For block-based processing
+    std::vector<int32_t> num_transfer_tokens;
+    int32_t              num_blocks      = 1;
+    int32_t              steps_per_block = params.steps;
+
+    if (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) {
+        GGML_ASSERT(params.max_length % params.block_length == 0);
+        num_blocks = params.max_length / params.block_length;
+        GGML_ASSERT(params.steps % num_blocks == 0);
+        steps_per_block = params.steps / num_blocks;
+    }
+
+    std::vector<float> confidence(params.max_length);
+
+    int64_t total_sampling_time = 0;
+    int64_t total_time          = 0;
+    int64_t time_start          = ggml_time_us();
+
+    for (int block_num = 0; block_num < num_blocks; block_num++) {
+        int32_t block_start = (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) ? n_input + block_num * params.block_length : 0;
+        int32_t block_end   = (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) ?
+                                  std::min(n_input + (block_num + 1) * params.block_length, params.max_length) :
+                                  params.max_length;
+
+        // Count masked tokens in current block for block-based processing
+        if (params.schedule == DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED) {
+            int32_t block_mask_count = 0;
+            for (int i = block_start; i < block_end; i++) {
+                if (output_tokens[i] == params.mask_token_id) {
+                    block_mask_count++;
+                }
+            }
+            num_transfer_tokens = get_num_transfer_tokens(block_mask_count, steps_per_block);
+        }
+
+        for (int32_t step = 0; step < steps_per_block; step++) {
+            int32_t global_step = block_num * steps_per_block + step;
+
+            if (params.step_callback) {
+                if (!params.step_callback(
+                        global_step, params.steps, output_tokens, params.max_length, params.step_callback_user_data)) {
+                    break;
+                }
+            }
+
+            // Setup batch
+            for (int32_t i = 0; i < params.max_length; i++) {
+                batch.token[i]     = output_tokens[i];
+                batch.pos[i]       = i;
+                batch.n_seq_id[i]  = 1;
+                batch.seq_id[i][0] = 0;
+                batch.logits[i]    = 1;
+            }
+
+            float * logits = nullptr;
+
+            if (params.cfg_scale > 0.0f) {
+                int ret = llama_decode(ctx, batch);
+                if (ret != 0) {
+                    LOG_ERR("Failed to generate conditional");
+                    break;
+                }
+                float * cond_logits_ptr = llama_get_logits(ctx);
+                std::memcpy(cond_logits_buffer.data(), cond_logits_ptr, logits_size * sizeof(float));
+
+                // Unconditional generation (mask input)
+                std::copy(output_tokens, output_tokens + params.max_length, un_x_buffer.begin());
+                for (int32_t i = 0; i < n_input; i++) {
+                    un_x_buffer[i] = params.mask_token_id;
+                }
+
+                for (int32_t i = 0; i < params.max_length; i++) {
+                    batch.token[i] = un_x_buffer[i];
+                }
+                ret = llama_decode(ctx, batch);
+                if (ret != 0) {
+                    LOG_ERR("Failed to generate unconditional");
+                    break;
+                }
+                float * uncond_logits = llama_get_logits(ctx);
+
+                // Apply CFG
+                for (int32_t i = 0; i < logits_size; i++) {
+                    cond_logits_buffer[i] =
+                        uncond_logits[i] + (params.cfg_scale + 1.0f) * (cond_logits_buffer[i] - uncond_logits[i]);
+                }
+                logits = cond_logits_buffer.data();
+            } else {
+                int ret = llama_decode(ctx, batch);
+                if (ret != 0) {
+                    LOG_ERR("%s: failed to decode at step %d, ret = %d\n", __func__, global_step, ret);
+                    break;
+                }
+                logits = llama_get_logits(ctx);
+            }
+
+            if (!logits) {
+                LOG_ERR("%s: failed to get logits at step %d\n", __func__, global_step);
+                break;
+            }
+
+            auto get_logits_for_pos = [&](int32_t pos) -> const float * {
+                if (params.shift_logits) {
+                    return pos == 0 ? logits : logits + (pos - 1) * n_vocab;
+                }
+                return logits + pos * n_vocab;
+            };
+
+            int64_t time_start_sampling = ggml_time_us();
+
+            mask_positions.clear();
+            for (int32_t i = 0; i < params.max_length; i++) {
+                if (output_tokens[i] == params.mask_token_id) {
+                    // For block-based, only consider current block
+                    if (params.schedule != DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED || (i >= block_start && i < block_end)) {
+                        mask_positions.push_back(i);
+                    }
+                }
+            }
+
+            if (mask_positions.empty()) {
+                break;
+            }
+
+            if (params.add_gumbel_noise && params.temperature > 0.0f) {
+                add_gumbel_noise(logits, n_vocab, params.temperature, rng);
+            }
+
+            if (params.algorithm == DIFFUSION_ALGORITHM_ORIGIN) {
+                int32_t transfer_count = calculate_transfer_count(
+                    step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens);
+                float p_transfer = (float) transfer_count / mask_positions.size();
+
+                for (int32_t pos : mask_positions) {
+                    if (std::uniform_real_distribution<float>(0.0f, 1.0f)(rng) < p_transfer) {
+                        const float * pos_logits = get_logits_for_pos(pos);
+                        for (int32_t token_id = 0; token_id < n_vocab; token_id++) {
+                            candidates[token_id].id    = token_id;
+                            candidates[token_id].logit = pos_logits[token_id];
+                            candidates[token_id].p     = 0.0f;
+                        }
+
+                        llama_token_data_array cur_p = {
+                            candidates.data(),
+                            (size_t) n_vocab,
+                            -1,
+                            false,
+                        };
+
+                        llama_sampler_apply(sampler, &cur_p);
+                        output_tokens[pos] = cur_p.data[cur_p.selected].id;
+                    }
+                }
+            } else {
+                std::vector<std::pair<float, int32_t>> confidences;
+                std::vector<llama_token>               sampled_tokens(mask_positions.size());
+
+                for (size_t i = 0; i < mask_positions.size(); i++) {
+                    int32_t       pos        = mask_positions[i];
+                    const float * pos_logits = get_logits_for_pos(pos);
+
+                    for (int32_t token_id = 0; token_id < n_vocab; token_id++) {
+                        candidates[token_id].logit = pos_logits[token_id];
+                        candidates[token_id].p     = 0.0f;
+                        candidates[token_id].id    = token_id;
+                    }
+
+                    llama_token_data_array cur_p = {
+                        candidates.data(),
+                        candidates.size(),
+                        -1,
+                        false,
+                    };
+
+                    llama_sampler_apply(sampler, &cur_p);
+                    llama_token sampled_token = cur_p.data[cur_p.selected].id;
+
+                    float conf = calculate_confidence(cur_p, params.algorithm, rng);
+
+                    sampled_tokens[i] = sampled_token;
+                    confidences.emplace_back(conf, i);
+                }
+
+                int32_t transfer_count = calculate_transfer_count(
+                    step, steps_per_block, mask_positions.size(), params.schedule, params.eps, num_transfer_tokens);
+
+                if (transfer_count > 0) {
+                    if (params.alg_temp == 0.0f) {
+                        std::partial_sort(confidences.begin(),
+                                          confidences.begin() + std::min(transfer_count, (int32_t) confidences.size()),
+                                          confidences.end(),
+                                          [](const std::pair<float, int32_t> & a, const std::pair<float, int32_t> & b) {
+                                              if (a.first != b.first) {
+                                                  return a.first > b.first;
+                                              }
+                                              return a.second < b.second;
+                                          });
+
+                        for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) {
+                            int32_t mask_idx   = confidences[i].second;
+                            int32_t pos        = mask_positions[mask_idx];
+                            output_tokens[pos] = sampled_tokens[mask_idx];
+                        }
+                    } else {
+                        conf_candidates.clear();
+                        for (size_t i = 0; i < confidences.size(); i++) {
+                            float conf_logit = confidences[i].first / params.alg_temp;
+                            conf_candidates.emplace_back(llama_token_data{ (int32_t) i, conf_logit, 0.0f });
+                        }
+
+                        llama_token_data_array conf_array = {
+                            conf_candidates.data(),
+                            conf_candidates.size(),
+                            -1,
+                            false,
+                        };
+
+                        for (int32_t i = 0; i < std::min(transfer_count, (int32_t) confidences.size()); i++) {
+                            llama_sampler_apply(dist_sampler, &conf_array);
+                            int32_t selected_idx = conf_array.selected;
+                            int32_t mask_idx     = selected_idx;
+                            int32_t pos          = mask_positions[mask_idx];
+                            output_tokens[pos]   = sampled_tokens[mask_idx];
+
+                            conf_candidates[selected_idx].p = 0.0f;
+                            conf_array.selected             = -1;
+                        }
+                    }
+                }
+            }
+
+            int64_t time_end_sampling = ggml_time_us();
+            total_sampling_time += time_end_sampling - time_start_sampling;
+        }
+    }
+
+    int64_t time_end = ggml_time_us();
+    total_time += time_end - time_start;
+
+    LOG_INF("\ntotal time: %0.2fms, time per step: %0.2fms, sampling time per step: %0.2fms\n",
+            total_time / 1000.0,
+            total_time / 1000.0 / params.steps,
+            total_sampling_time / 1000.0 / params.steps);
+
+    llama_batch_free(batch);
+    llama_sampler_free(sampler);
+    llama_sampler_free(dist_sampler);
+
+    n_generated = params.max_length;
+}
diff --git a/examples/diffusion/diffusion.h b/examples/diffusion/diffusion.h
new file mode 100644
index 000000000..783144522
--- /dev/null
+++ b/examples/diffusion/diffusion.h
@@ -0,0 +1,57 @@
+#pragma once
+
+#include "llama.h"
+
+#include <cstdint>
+
+enum diffusion_algorithm {
+    DIFFUSION_ALGORITHM_ORIGIN           = 0,
+    DIFFUSION_ALGORITHM_ENTROPY_BASED    = 1,
+    DIFFUSION_ALGORITHM_MARGIN_BASED     = 2,
+    DIFFUSION_ALGORITHM_RANDOM           = 3,
+    DIFFUSION_ALGORITHM_CONFIDENCE_BASED = 4,
+};
+
+// Unified transfer scheduling methods
+enum diffusion_transfer_schedule {
+    DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED = 0,  // Dream-style: (1.0 - s/t) * remaining
+    DIFFUSION_TRANSFER_SCHEDULE_BLOCK_BASED    = 1,  // LLaDA-style: process in blocks with get_num_transfer_tokens
+};
+
+typedef bool (*diffusion_step_callback_t)(int32_t             step,
+                                          int32_t             total_steps,
+                                          const llama_token * tokens,
+                                          int32_t             n_tokens,
+                                          void *              user_data);
+
+struct diffusion_params {
+    int32_t                   steps                   = 0;
+    float                     temperature             = 0;
+    llama_token               mask_token_id           = LLAMA_TOKEN_NULL;
+    diffusion_step_callback_t step_callback           = nullptr;
+    void *                    step_callback_user_data = nullptr;
+    int32_t                   seed                    = 0;
+    bool                      visual_mode             = false;
+    bool                      shift_logits            = false;  // Shift logits by -1 after decode
+
+    float   top_p = 0.;
+    int32_t top_k = 0.;
+
+    diffusion_algorithm         algorithm = DIFFUSION_ALGORITHM_CONFIDENCE_BASED;
+    diffusion_transfer_schedule schedule  = DIFFUSION_TRANSFER_SCHEDULE_TIMESTEP_BASED;
+
+    float   cfg_scale        = 0.;     // Config scale for classifier-free guidance
+    float   eps              = 0.;     // Timestep scheduling
+    int32_t block_length     = 0;      // Block size (for block scheduling)
+    float   alg_temp         = 0;      // algorithm temperature (0.0 = deterministic)
+    bool    add_gumbel_noise = false;  // Add gumbel noise to the logits if temp > 0.0
+
+    int32_t max_length = 0;            // Maximum sequence length
+};
+
+void diffusion_generate(llama_context *          ctx,
+                        const llama_token *      input_tokens,
+                        llama_token *            output_tokens,
+                        int32_t                  n_input,
+                        const diffusion_params & params,
+                        int32_t &                n_generated);
diff --git a/examples/embedding/CMakeLists.txt b/examples/embedding/CMakeLists.txt
index 809040307..0634c7bd8 100644
--- a/examples/embedding/CMakeLists.txt
+++ b/examples/embedding/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-embedding)
 add_executable(${TARGET} embedding.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/eval-callback/CMakeLists.txt b/examples/eval-callback/CMakeLists.txt
index 6439690a5..63fbe59dc 100644
--- a/examples/eval-callback/CMakeLists.txt
+++ b/examples/eval-callback/CMakeLists.txt
@@ -1,7 +1,7 @@
 set(TARGET llama-eval-callback)
 add_executable(${TARGET} eval-callback.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_BUILD_TESTS)
diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index 883246845..4ce8d600b 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -3,7 +3,6 @@
 #include "debug.h"
 #include "log.h"
 #include "llama.h"
-#include "llama-cpp.h"
 
 #include <clocale>
 #include <string>
@@ -38,7 +37,7 @@ static bool run(llama_context * ctx, const common_params & params) {
 int main(int argc, char ** argv) {
     std::setlocale(LC_NUMERIC, "C");
 
-    base_callback_data cb_data;
+    common_debug_cb_user_data cb_data;
 
     common_params params;
 
@@ -53,7 +52,7 @@ int main(int argc, char ** argv) {
 
     // pass the callback to the backend scheduler
     // it will be executed for each node during the graph computation
-    params.cb_eval = common_debug_cb_eval<false>;
+    params.cb_eval = common_debug_cb_eval;
     params.cb_eval_user_data = &cb_data;
     params.warmup = false;
 
diff --git a/examples/gen-docs/CMakeLists.txt b/examples/gen-docs/CMakeLists.txt
index 25de0af35..aa68cbd78 100644
--- a/examples/gen-docs/CMakeLists.txt
+++ b/examples/gen-docs/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-gen-docs)
 add_executable(${TARGET} gen-docs.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/gen-docs/gen-docs.cpp b/examples/gen-docs/gen-docs.cpp
index 7ba7d79f7..baf61bf27 100644
--- a/examples/gen-docs/gen-docs.cpp
+++ b/examples/gen-docs/gen-docs.cpp
@@ -73,12 +73,12 @@ static void write_help(std::ostringstream & ss, const md_file & md) {
     auto ctx_arg = common_params_parser_init(params, md.ex);
 
     std::vector<common_arg *> common_options;
-    std::vector<common_arg *> sparam_options;
+    std::vector<common_arg *> sampling_options;
     std::vector<common_arg *> specific_options;
     for (auto & opt : ctx_arg.options) {
         // in case multiple LLAMA_EXAMPLE_* are set, we prioritize the LLAMA_EXAMPLE_* matching current example
-        if (opt.is_sparam) {
-            sparam_options.push_back(&opt);
+        if (opt.is_sampling) {
+            sampling_options.push_back(&opt);
         } else if (opt.in_example(ctx_arg.ex)) {
             specific_options.push_back(&opt);
         } else {
@@ -93,7 +93,7 @@ static void write_help(std::ostringstream & ss, const md_file & md) {
     ss << "### Common params\n\n";
     write_table(ss, common_options);
     ss << "\n\n### Sampling params\n\n";
-    write_table(ss, sparam_options);
+    write_table(ss, sampling_options);
     ss << "\n\n### " << md.specific_section_header << "\n\n";
     write_table(ss, specific_options);
 
diff --git a/examples/idle/CMakeLists.txt b/examples/idle/CMakeLists.txt
index d5018fec4..c0fedbbff 100644
--- a/examples/idle/CMakeLists.txt
+++ b/examples/idle/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-idle)
 add_executable(${TARGET} idle.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama llama-common ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/llama.android/lib/src/main/cpp/CMakeLists.txt b/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
index 7862c61a3..20c9e3b2c 100644
--- a/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
+++ b/examples/llama.android/lib/src/main/cpp/CMakeLists.txt
@@ -51,6 +51,6 @@ target_include_directories(${CMAKE_PROJECT_NAME} PRIVATE
 
 target_link_libraries(${CMAKE_PROJECT_NAME}
         llama
-        common
+        llama-common
         android
         log)
diff --git a/examples/lookahead/CMakeLists.txt b/examples/lookahead/CMakeLists.txt
index 346861314..5d6e604fa 100644
--- a/examples/lookahead/CMakeLists.txt
+++ b/examples/lookahead/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-lookahead)
 add_executable(${TARGET} lookahead.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/lookup/CMakeLists.txt b/examples/lookup/CMakeLists.txt
index fba78ceda..09f7d2e3c 100644
--- a/examples/lookup/CMakeLists.txt
+++ b/examples/lookup/CMakeLists.txt
@@ -1,23 +1,23 @@
 set(TARGET llama-lookup)
 add_executable(${TARGET} lookup.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 set(TARGET llama-lookup-create)
 add_executable(${TARGET} lookup-create.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 set(TARGET llama-lookup-merge)
 add_executable(${TARGET} lookup-merge.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 set(TARGET llama-lookup-stats)
 add_executable(${TARGET} lookup-stats.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
index 6b8f258a4..c0f6c8fc2 100644
--- a/examples/lookup/lookup-create.cpp
+++ b/examples/lookup/lookup-create.cpp
@@ -37,9 +37,9 @@ int main(int argc, char ** argv){
 
     common_ngram_cache ngram_cache;
     common_ngram_cache_update(ngram_cache, LLAMA_NGRAM_STATIC, LLAMA_NGRAM_STATIC, inp, inp.size(), true);
-    fprintf(stderr, "%s: hashing done, writing file to %s\n", __func__, params.speculative.lookup_cache_static.c_str());
+    fprintf(stderr, "%s: hashing done, writing file to %s\n", __func__, params.speculative.ngram_cache.lookup_cache_static.c_str());
 
-    common_ngram_cache_save(ngram_cache, params.speculative.lookup_cache_static);
+    common_ngram_cache_save(ngram_cache, params.speculative.ngram_cache.lookup_cache_static);
 
     return 0;
 }
diff --git a/examples/lookup/lookup-stats.cpp b/examples/lookup/lookup-stats.cpp
index 847976ddc..84642e05d 100644
--- a/examples/lookup/lookup-stats.cpp
+++ b/examples/lookup/lookup-stats.cpp
@@ -24,7 +24,7 @@ int main(int argc, char ** argv){
         return 1;
     }
 
-    const int n_draft = params.speculative.n_max;
+    const int n_draft = params.speculative.draft.n_max;
 
     // init llama.cpp
     llama_backend_init();
@@ -49,18 +49,18 @@ int main(int argc, char ** argv){
     {
         const int64_t t_start_draft_us = ggml_time_us();
 
-        if (!params.speculative.lookup_cache_static.empty()) {
+        if (!params.speculative.ngram_cache.lookup_cache_static.empty()) {
             try {
-                ngram_cache_static = common_ngram_cache_load(params.speculative.lookup_cache_static);
+                ngram_cache_static = common_ngram_cache_load(params.speculative.ngram_cache.lookup_cache_static);
             } catch (std::ifstream::failure const &) {
-                LOG_ERR("failed to open static lookup cache: %s", params.speculative.lookup_cache_static.c_str());
+                LOG_ERR("failed to open static lookup cache: %s", params.speculative.ngram_cache.lookup_cache_static.c_str());
                 exit(1);
             }
         }
 
-        if (!params.speculative.lookup_cache_dynamic.empty()) {
+        if (!params.speculative.ngram_cache.lookup_cache_dynamic.empty()) {
             try {
-                ngram_cache_dynamic = common_ngram_cache_load(params.speculative.lookup_cache_dynamic);
+                ngram_cache_dynamic = common_ngram_cache_load(params.speculative.ngram_cache.lookup_cache_dynamic);
             } catch (std::ifstream::failure const &) {} // if the file does not exist it will simply be created at the end of the program
         }
 
diff --git a/examples/lookup/lookup.cpp b/examples/lookup/lookup.cpp
index 74272f17e..2d4c0e528 100644
--- a/examples/lookup/lookup.cpp
+++ b/examples/lookup/lookup.cpp
@@ -25,7 +25,7 @@ int main(int argc, char ** argv){
     }
 
     // max. number of additional tokens to draft if match is found
-    const int n_draft = params.speculative.n_max;
+    const int n_draft = params.speculative.draft.n_max;
 
     // init llama.cpp
     llama_backend_init();
@@ -54,18 +54,18 @@ int main(int argc, char ** argv){
         const int64_t t_start_draft_us = ggml_time_us();
         common_ngram_cache_update(ngram_cache_context, LLAMA_NGRAM_MIN, LLAMA_NGRAM_MAX, inp, inp.size(), false);
 
-        if (!params.speculative.lookup_cache_static.empty()) {
+        if (!params.speculative.ngram_cache.lookup_cache_static.empty()) {
             try {
-                ngram_cache_static = common_ngram_cache_load(params.speculative.lookup_cache_static);
+                ngram_cache_static = common_ngram_cache_load(params.speculative.ngram_cache.lookup_cache_static);
             } catch (std::ifstream::failure const &) {
-                LOG_ERR("failed to open static lookup cache: %s", params.speculative.lookup_cache_static.c_str());
+                LOG_ERR("failed to open static lookup cache: %s", params.speculative.ngram_cache.lookup_cache_static.c_str());
                 exit(1);
             }
         }
 
-        if (!params.speculative.lookup_cache_dynamic.empty()) {
+        if (!params.speculative.ngram_cache.lookup_cache_dynamic.empty()) {
             try {
-                ngram_cache_dynamic = common_ngram_cache_load(params.speculative.lookup_cache_dynamic);
+                ngram_cache_dynamic = common_ngram_cache_load(params.speculative.ngram_cache.lookup_cache_dynamic);
             } catch (std::ifstream::failure const &) {} // if the file does not exist it will simply be created at the end of the program
         }
 
@@ -213,7 +213,7 @@ int main(int argc, char ** argv){
 
     // Update dynamic ngram cache with context ngram cache and save it to disk:
     common_ngram_cache_merge(ngram_cache_dynamic, ngram_cache_context);
-    common_ngram_cache_save(ngram_cache_dynamic, params.speculative.lookup_cache_dynamic);
+    common_ngram_cache_save(ngram_cache_dynamic, params.speculative.ngram_cache.lookup_cache_dynamic);
 
     LOG("\n\n");
 
diff --git a/examples/model-conversion/scripts/causal/convert-model.sh b/examples/model-conversion/scripts/causal/convert-model.sh
index a5865f6ac..4aa722062 100755
--- a/examples/model-conversion/scripts/causal/convert-model.sh
+++ b/examples/model-conversion/scripts/causal/convert-model.sh
@@ -25,7 +25,11 @@ MODEL_NAME="${MODEL_NAME:-$(basename "$MODEL_PATH")}"
 OUTPUT_DIR="${OUTPUT_DIR:-../../models}"
 TYPE="${OUTTYPE:-f16}"
 METADATA_OVERRIDE="${METADATA_OVERRIDE:-}"
-CONVERTED_MODEL="${OUTPUT_DIR}/${MODEL_NAME}.gguf"
+if [[ -n "$MMPROJ" ]]; then
+    CONVERTED_MODEL="${OUTPUT_DIR}/mmproj-${MODEL_NAME}.gguf"
+else
+    CONVERTED_MODEL="${OUTPUT_DIR}/${MODEL_NAME}.gguf"
+fi
 
 echo "Model path: ${MODEL_PATH}"
 echo "Model name: ${MODEL_NAME}"
@@ -38,6 +42,7 @@ if [[ -n "$DEBUG" ]]; then
 else
     CMD_ARGS=("python")
 fi
+
 CMD_ARGS+=("../../convert_hf_to_gguf.py" "--verbose")
 CMD_ARGS+=("${MODEL_PATH}")
 CMD_ARGS+=("--outfile" "${CONVERTED_MODEL}")
@@ -50,7 +55,3 @@ CMD_ARGS+=("--outtype" "${TYPE}")
 echo ""
 echo "The environment variable CONVERTED_MODEL can be set to this path using:"
 echo "export CONVERTED_MODEL=$(realpath ${CONVERTED_MODEL})"
-if [[ -n "$MMPROJ" ]]; then
-    mmproj_file="${OUTPUT_DIR}/mmproj-$(basename "${CONVERTED_MODEL}")"
-    echo "The mmproj model was created in $(realpath "$mmproj_file")"
-fi
diff --git a/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py b/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
index 4ab778fbc..b94bec4e7 100755
--- a/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
+++ b/examples/model-conversion/scripts/causal/run-casual-gen-embeddings-org.py
@@ -53,10 +53,10 @@
 print(f"Model name: {model_name}")
 
 prompt = "Hello world today"
-input_ids = tokenizer(prompt, return_tensors="pt").input_ids
+input_ids = tokenizer(prompt, return_tensors="pt").input_ids  # ty: ignore[call-non-callable]
 print(f"Input tokens: {input_ids}")
 print(f"Input text: {repr(prompt)}")
-print(f"Tokenized: {tokenizer.convert_ids_to_tokens(input_ids[0])}")
+print(f"Tokenized: {tokenizer.convert_ids_to_tokens(input_ids[0])}")  # ty: ignore[unresolved-attribute]
 
 with torch.no_grad():
     outputs = model(input_ids, output_hidden_states=True)
@@ -92,7 +92,7 @@
 
     # Print embeddings per token in the requested format
     print("\nToken embeddings:")
-    tokens = tokenizer.convert_ids_to_tokens(input_ids[0])
+    tokens = tokenizer.convert_ids_to_tokens(input_ids[0])  # ty: ignore[unresolved-attribute]
     for i, embedding in enumerate(token_embeddings):
         # Format: show first few values, ..., then last few values
         if len(embedding) > 10:
diff --git a/examples/model-conversion/scripts/utils/semantic_check.py b/examples/model-conversion/scripts/utils/semantic_check.py
index db0d004da..754ae733d 100644
--- a/examples/model-conversion/scripts/utils/semantic_check.py
+++ b/examples/model-conversion/scripts/utils/semantic_check.py
@@ -207,8 +207,8 @@ def main():
         else:
             model = AutoModel.from_pretrained(args.model_path, trust_remote_code=True)
 
-    encoded = tokenizer(prompt, return_tensors="pt")
-    tokens = tokenizer.convert_ids_to_tokens(encoded['input_ids'][0])
+    encoded = tokenizer(prompt, return_tensors="pt")  # ty: ignore[call-non-callable]
+    tokens = tokenizer.convert_ids_to_tokens(encoded['input_ids'][0])  # ty: ignore[unresolved-attribute]
     n_tokens = len(tokens)
     print(f"n_tokens: {n_tokens}");
     print(f"hidden_size: {model.config.hidden_size}")
diff --git a/examples/parallel/CMakeLists.txt b/examples/parallel/CMakeLists.txt
index 847e916de..4fb7a96aa 100644
--- a/examples/parallel/CMakeLists.txt
+++ b/examples/parallel/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-parallel)
 add_executable(${TARGET} parallel.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/passkey/CMakeLists.txt b/examples/passkey/CMakeLists.txt
index 9bc5110c2..12558cc25 100644
--- a/examples/passkey/CMakeLists.txt
+++ b/examples/passkey/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-passkey)
 add_executable(${TARGET} passkey.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/retrieval/CMakeLists.txt b/examples/retrieval/CMakeLists.txt
index 512a602ec..5927ff8a8 100644
--- a/examples/retrieval/CMakeLists.txt
+++ b/examples/retrieval/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-retrieval)
 add_executable(${TARGET} retrieval.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/save-load-state/CMakeLists.txt b/examples/save-load-state/CMakeLists.txt
index 0f50e50de..78024672e 100644
--- a/examples/save-load-state/CMakeLists.txt
+++ b/examples/save-load-state/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-save-load-state)
 add_executable(${TARGET} save-load-state.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp
index a26fd73cb..e6f5e9802 100644
--- a/examples/save-load-state/save-load-state.cpp
+++ b/examples/save-load-state/save-load-state.cpp
@@ -38,8 +38,12 @@ int main(int argc, char ** argv) {
     std::string result0;
     std::string result1;
     std::string result2;
+    std::string result3;
 
     // init
+
+    ggml_backend_load_all();
+
     auto llama_init = common_init_from_params(params);
 
     auto * model = llama_init->model();
@@ -213,11 +217,83 @@ int main(int argc, char ** argv) {
         n_past += 1;
     }
 
+    // test on-device state save/load
+    auto params_ctx4 = common_context_params_to_llama(params);
+    params_ctx4.n_seq_max = 2;
+    llama_context * ctx4 = llama_init_from_model(model, params_ctx4);
+
+    llama_sampler * smpl4 = llama_sampler_chain_init(sparams);
+
+    llama_sampler_chain_add(smpl4, llama_sampler_init_dist(params.sampling.seed));
+
+    printf("\nsingle seq run: %s", params.prompt.c_str());
+
+    // load state (rng, logits, embedding and kv_cache) from file
+    n_token_count_out = 0;
+
+    if (!llama_state_load_file(ctx4, state_file.data(), unused_sts.data(), unused_sts.size(), &n_token_count_out)) {
+        fprintf(stderr, "\n%s : failed to load state\n", __func__);
+        return 1;
+    }
+
+    fprintf(stderr, "%s : loaded state with %zu tokens\n", __func__, n_token_count_out);
+
+    // restore state (last tokens)
+    n_past = n_token_count_out;
+    if (!common_replay_last_token(ctx4, tokens.back(), n_past)) {
+        return 1;
+    }
+    ++n_past;
+
+    // save seq 0 and load into seq 1
+    {
+        // save kv of seq 0
+        std::vector<uint8_t> seq_store(llama_state_seq_get_size_ext(ctx4, 0, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE));
+        const size_t ncopy = llama_state_seq_get_data_ext(ctx4, seq_store.data(), seq_store.size(), 0, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+        if (ncopy != seq_store.size()) {
+            fprintf(stderr, "\n%s : seq copy data length %zd does not match expected length %zd\n", __func__, ncopy, seq_store.size());
+            return 1;
+        }
+        fprintf(stderr, "%s : seq 0 copied, %zd bytes\n", __func__, ncopy);
+
+        // erase whole kv
+        llama_memory_clear(llama_get_memory(ctx4), true);
+        fprintf(stderr, "%s : kv cache cleared\n", __func__);
+
+        // restore kv into seq 0
+        const size_t nset = llama_state_seq_set_data_ext(ctx4, seq_store.data(), seq_store.size(), 1, LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+        if (nset != seq_store.size()) {
+            fprintf(stderr, "\n%s : seq set data length %zd does not match expected length %zd\n", __func__, nset, seq_store.size());
+            return 1;
+        }
+        fprintf(stderr, "%s : seq 1 restored, %zd bytes\n", __func__, nset);
+    }
+
+    // forth run
+    for (auto i = 0; i < params.n_predict; i++) {
+        auto next_token     = llama_sampler_sample(smpl4, ctx4, -1);
+        auto next_token_str = common_token_to_piece(ctx4, next_token);
+
+        printf("%s", next_token_str.c_str());
+        result3 += next_token_str;
+
+        common_batch_clear(batch);
+        common_batch_add(batch, next_token, n_past, {1}, true);
+
+        if (llama_decode(ctx4, batch)) {
+            fprintf(stderr, "\n%s : failed to evaluate\n", __func__);
+            llama_batch_free(batch);
+            return 1;
+        }
+        n_past += 1;
+    }
+
     printf("\n");
 
     llama_sampler_free(smpl);
     llama_sampler_free(smpl2);
     llama_sampler_free(smpl3);
+    llama_sampler_free(smpl4);
 
     llama_batch_free(batch);
 
@@ -226,12 +302,18 @@ int main(int argc, char ** argv) {
 
     llama_free(ctx2);
     llama_free(ctx3);
+    llama_free(ctx4);
 
     if (result0 != result2) {
         fprintf(stderr, "\n%s : error : the seq restore generation is different\n", __func__);
         return 1;
     }
 
+    if (result0 != result3) {
+        fprintf(stderr, "\n%s : error : the seq restore generation is different\n", __func__);
+        return 1;
+    }
+
     fprintf(stderr, "\n%s : success\n", __func__);
 
     return 0;
diff --git a/examples/speculative-simple/CMakeLists.txt b/examples/speculative-simple/CMakeLists.txt
index aeaea74fc..5ef3b4131 100644
--- a/examples/speculative-simple/CMakeLists.txt
+++ b/examples/speculative-simple/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-speculative-simple)
 add_executable(${TARGET} speculative-simple.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/speculative-simple/speculative-simple.cpp b/examples/speculative-simple/speculative-simple.cpp
index a03dbce88..5b61b62a1 100644
--- a/examples/speculative-simple/speculative-simple.cpp
+++ b/examples/speculative-simple/speculative-simple.cpp
@@ -8,8 +8,24 @@
 #include <clocale>
 #include <cstdio>
 #include <cstring>
+#include <cinttypes>
 #include <string>
 #include <vector>
+#include <utility>
+
+struct spec_checkpoint {
+    int64_t n_tokens = 0;
+
+    std::vector<uint8_t> data;
+
+    size_t size() const {
+        return data.size();
+    }
+
+    bool empty() const {
+        return data.empty();
+    }
+};
 
 int main(int argc, char ** argv) {
     std::setlocale(LC_NUMERIC, "C");
@@ -27,7 +43,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    if (params.speculative.mparams_dft.path.empty()) {
+    if (params.speculative.draft.mparams.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;
     }
@@ -46,6 +62,14 @@ int main(int argc, char ** argv) {
     model_tgt = llama_init_tgt->model();
     ctx_tgt   = llama_init_tgt->context();
 
+    // check if the context supports partial sequence removal
+    const auto ctx_seq_rm = common_context_can_seq_rm(ctx_tgt);
+    const bool use_ckpt = (ctx_seq_rm == COMMON_CONTEXT_SEQ_RM_TYPE_FULL);
+
+    if (use_ckpt) {
+        LOG_INF("speculative decoding will use checkpoints (context does not support partial sequence removal)\n");
+    }
+
     const llama_vocab * vocab = llama_model_get_vocab(model_tgt);
 
     // load the draft model
@@ -53,7 +77,7 @@ int main(int argc, char ** argv) {
 
     // TODO: simplify this logic
     {
-        const auto & params_spec = params.speculative;
+        const auto & params_spec = params.speculative.draft;
 
         auto params_dft = params;
 
@@ -61,15 +85,15 @@ int main(int argc, char ** argv) {
         params_dft.n_ctx        = params_spec.n_ctx;
         params_dft.n_batch      = llama_n_ctx_seq(ctx_tgt);
         params_dft.devices      = params_spec.devices;
-        params_dft.model        = params_spec.mparams_dft;
+        params_dft.model        = params_spec.mparams;
         params_dft.n_gpu_layers = params_spec.n_gpu_layers;
 
         if (params_spec.cpuparams.n_threads > 0) {
-            params_dft.cpuparams.n_threads       = params.speculative.cpuparams.n_threads;
-            params_dft.cpuparams_batch.n_threads = params.speculative.cpuparams_batch.n_threads;
+            params_dft.cpuparams.n_threads       = params.speculative.draft.cpuparams.n_threads;
+            params_dft.cpuparams_batch.n_threads = params.speculative.draft.cpuparams_batch.n_threads;
         }
 
-        params_dft.tensor_buft_overrides = params.speculative.tensor_buft_overrides;
+        params_dft.tensor_buft_overrides = params.speculative.draft.tensor_buft_overrides;
 
         auto mparams_dft = common_model_params_to_llama(params_dft);
 
@@ -79,8 +103,8 @@ int main(int argc, char ** argv) {
             return 1;
         }
 
-        params.speculative.model_dft = model_dft.get();
-        params.speculative.cparams_dft = common_context_params_to_llama(params_dft);
+        params.speculative.draft.model = model_dft.get();
+        params.speculative.draft.cparams = common_context_params_to_llama(params_dft);
     }
 
     // Tokenize the prompt
@@ -119,7 +143,7 @@ int main(int argc, char ** argv) {
     const auto t_enc_start = ggml_time_us();
 
     // target model sampling context
-    struct common_sampler * smpl = common_sampler_init(model_tgt, params.sampling);
+    common_sampler_ptr smpl(common_sampler_init(model_tgt, params.sampling));
 
     // eval the prompt
     llama_decode(ctx_tgt, llama_batch_get_one(inp.data(), inp.size() - 1));
@@ -142,21 +166,49 @@ int main(int argc, char ** argv) {
 
     llama_batch batch_tgt = llama_batch_init(llama_n_batch(ctx_tgt), 0, 1);
 
+    size_t n_draft = 0;
+
+    llama_tokens draft;
+    spec_checkpoint spec_ckpt;
+
     const auto t_enc_end = ggml_time_us();
 
     const auto t_dec_start = ggml_time_us();
 
     while (true) {
-        // optionally, generate draft tokens that can be appended to the target batch
+        // generate or reuse draft tokens
         //
         // this is the most important part of the speculation. the more probable tokens that are provided here
         // the better the performance will be. in theory, this computation can be performed asynchronously and even
         // offloaded to a remote device. it doesn't even have to be based on an LLM. instead, it can provide tokens
         // from a cache or lookup tables.
         //
-        llama_tokens draft = common_speculative_draft(spec, params_spec, prompt_tgt, id_last);
+        if (draft.empty()) {
+            // generate a new draft
+            draft = common_speculative_draft(spec, params_spec, prompt_tgt, id_last);
+
+            // save the original draft size
+            n_draft = draft.size();
 
-        //LOG_DBG("draft: %s\n", string_from(ctx_dft, draft).c_str());
+            // save a checkpoint of the target context before evaluating the draft
+            // this allows us to restore the state if partial draft acceptance occurs
+            if (!draft.empty() && use_ckpt) {
+                const size_t ckpt_size = llama_state_seq_get_size_ext(ctx_tgt, 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+                spec_ckpt.data.resize(ckpt_size);
+
+                const size_t n = llama_state_seq_get_data_ext(ctx_tgt, spec_ckpt.data.data(), ckpt_size, 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+                GGML_ASSERT(n == ckpt_size);
+
+                spec_ckpt.n_tokens = (int64_t) prompt_tgt.size();
+                LOG_DBG("created speculative checkpoint (n_tokens = %" PRId64 ", size = %.3f MiB)\n",
+                        spec_ckpt.n_tokens, (float) spec_ckpt.data.size() / 1024 / 1024);
+            }
+        } else {
+            // we have a previous (partial) draft to reuse from checkpoint restoration
+            if (use_ckpt) {
+                GGML_ASSERT(!spec_ckpt.empty());
+            }
+        }
 
         // always have a token to evaluate from before - id_last
         common_batch_clear(batch_tgt);
@@ -164,11 +216,6 @@ int main(int argc, char ** argv) {
 
         // evaluate the target model on [id_last, draft0, draft1, ..., draftN-1]
         {
-            // do not waste time on small drafts
-            if (draft.size() < (size_t) params_spec.n_min) {
-                draft.clear();
-            }
-
             for (size_t i = 0; i < draft.size(); ++i) {
                 common_batch_add(batch_tgt, draft[i], n_past + i, { 0 }, true);
             }
@@ -178,6 +225,12 @@ int main(int argc, char ** argv) {
             llama_decode(ctx_tgt, batch_tgt);
         }
 
+        // only save the sampler sampler state if we use checkpoints
+        common_sampler_ptr smpl_save;
+        if (use_ckpt) {
+            smpl_save.reset(common_sampler_clone(smpl.get()));
+        }
+
         // sample from the full target batch and return the accepted tokens based on the target sampler
         //
         // for each token to be accepted, the sampler would have to sample that same token
@@ -185,14 +238,38 @@ int main(int argc, char ** argv) {
         // available logits from the batch and sample the next token until we run out of logits or the sampler
         // disagrees with the draft
         //
-        const auto ids = common_sampler_sample_and_accept_n(smpl, ctx_tgt, draft);
+        auto ids = common_sampler_sample_and_accept_n(smpl.get(), ctx_tgt, draft);
 
         //LOG_DBG("ids: %s\n", string_from(ctx_tgt, ids).c_str());
 
         GGML_ASSERT(ids.size() > 0); // there will always be at least one accepted token
 
+        // check for partial draft acceptance:
+        // if the context doesn't support partial sequence removal, restore the checkpoint
+        // and make the accepted tokens the new partial draft for the next iteration
+        if (use_ckpt && ids.size() - 1 < draft.size()) {
+            LOG_DBG("partial acceptance: %zu < %zu, restoring checkpoint\n", ids.size() - 1, draft.size());
+
+            draft = std::move(ids);
+
+            const size_t n = llama_state_seq_set_data_ext(ctx_tgt, spec_ckpt.data.data(), spec_ckpt.size(), 0, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+            GGML_ASSERT(n == spec_ckpt.size());
+
+            llama_memory_seq_rm(llama_get_memory(ctx_tgt), 0, spec_ckpt.n_tokens, -1);
+
+            prompt_tgt.resize(spec_ckpt.n_tokens);
+            smpl = std::move(smpl_save);
+
+            n_past = (int) prompt_tgt.size();
+
+            continue;
+        }
+
+        common_speculative_accept(spec, ids.size() - 1);
+
+        // full acceptance: consume the draft and commit accepted tokens
         n_past    += ids.size() - 1;
-        n_drafted += draft.size(); // note: we ignore the discarded small drafts
+        n_drafted += n_draft; // note: we ignore the discarded small drafts
         n_accept  += ids.size() - 1;
         n_predict += ids.size();
 
@@ -222,6 +299,9 @@ int main(int argc, char ** argv) {
 
         LOG_DBG("accepted %d/%d draft tokens, the last target token is: (%d)\n", (int) ids.size() - 1, (int) draft.size(), id_last);
 
+        // clear the draft since it has been consumed
+        draft.clear();
+
         {
             LOG_DBG("clear kv cache from any extra tokens, n_past = %d\n", n_past);
 
@@ -243,7 +323,7 @@ int main(int argc, char ** argv) {
     LOG_INF("decoded %4d tokens in %8.3f seconds, speed: %8.3f t/s\n", n_predict, (t_dec_end - t_dec_start) / 1e6f, n_predict  / ((t_dec_end - t_dec_start) / 1e6f));
 
     LOG_INF("\n");
-    LOG_INF("n_draft   = %d\n", params_spec.n_max);
+    LOG_INF("n_draft   = %d\n", params_spec.draft.n_max);
     LOG_INF("n_predict = %d\n", n_predict);
     LOG_INF("n_drafted = %d\n", n_drafted);
     LOG_INF("n_accept  = %d\n", n_accept);
@@ -254,11 +334,10 @@ int main(int argc, char ** argv) {
 
     LOG_INF("\n");
     LOG_INF("target:\n\n");
-    common_perf_print(ctx_tgt, smpl);
+    common_perf_print(ctx_tgt, smpl.get());
 
     llama_batch_free(batch_tgt);
 
-    common_sampler_free(smpl);
     common_speculative_free(spec);
 
     llama_backend_free();
diff --git a/examples/speculative/CMakeLists.txt b/examples/speculative/CMakeLists.txt
index c84196bd9..b4e20c717 100644
--- a/examples/speculative/CMakeLists.txt
+++ b/examples/speculative/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-speculative)
 add_executable(${TARGET} speculative.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp
index 8f56a659b..f7fa5e306 100644
--- a/examples/speculative/speculative.cpp
+++ b/examples/speculative/speculative.cpp
@@ -49,7 +49,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    if (params.speculative.mparams_dft.path.empty()) {
+    if (params.speculative.draft.mparams.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;
     }
@@ -58,7 +58,7 @@ int main(int argc, char ** argv) {
     const int n_seq_dft = params.n_parallel;
 
     // probability threshold for splitting a draft branch (only for n_seq_dft > 1)
-    const float p_draft_split = params.speculative.p_split;
+    const float p_draft_split = params.speculative.draft.p_split;
 
     std::default_random_engine rng(params.sampling.seed == LLAMA_DEFAULT_SEED ? std::random_device()() : params.sampling.seed);
     std::uniform_real_distribution<> u_dist;
@@ -80,15 +80,15 @@ int main(int argc, char ** argv) {
     ctx_tgt   = llama_init_tgt->context();
 
     // load the draft model
-    params.devices = params.speculative.devices;
-    params.model = params.speculative.mparams_dft;
-    params.n_gpu_layers = params.speculative.n_gpu_layers;
-    if (params.speculative.cpuparams.n_threads > 0) {
-        params.cpuparams.n_threads = params.speculative.cpuparams.n_threads;
+    params.devices = params.speculative.draft.devices;
+    params.model = params.speculative.draft.mparams;
+    params.n_gpu_layers = params.speculative.draft.n_gpu_layers;
+    if (params.speculative.draft.cpuparams.n_threads > 0) {
+        params.cpuparams.n_threads = params.speculative.draft.cpuparams.n_threads;
     }
 
-    params.cpuparams_batch.n_threads = params.speculative.cpuparams_batch.n_threads;
-    params.tensor_buft_overrides     = params.speculative.tensor_buft_overrides;
+    params.cpuparams_batch.n_threads = params.speculative.draft.cpuparams_batch.n_threads;
+    params.tensor_buft_overrides     = params.speculative.draft.tensor_buft_overrides;
 
     auto llama_init_dft = common_init_from_params(params);
 
@@ -110,13 +110,21 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    if (
-        llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) ||
-        llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) ||
-        llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft) ||
-        llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft)
-    ) {
-        LOG_ERR("%s: draft model special tokens must match target model to use speculation\n", __func__);
+    if (llama_vocab_get_add_bos(vocab_tgt) != llama_vocab_get_add_bos(vocab_dft) ||
+        (llama_vocab_get_add_bos(vocab_tgt) && llama_vocab_bos(vocab_tgt) != llama_vocab_bos(vocab_dft))) {
+        LOG_ERR("%s: draft model bos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n",
+                __func__,
+                llama_vocab_get_add_bos(vocab_tgt), llama_vocab_get_add_bos(vocab_dft),
+                llama_vocab_bos(vocab_tgt), llama_vocab_bos(vocab_dft));
+        return 1;
+    }
+
+    if (llama_vocab_get_add_eos(vocab_tgt) != llama_vocab_get_add_eos(vocab_dft) ||
+        (llama_vocab_get_add_eos(vocab_tgt) && llama_vocab_eos(vocab_tgt) != llama_vocab_eos(vocab_dft))) {
+        LOG_ERR("%s: draft model eos tokens must match target model to use speculation. add: %d - %d, id: %d - %d)\n",
+                __func__,
+                llama_vocab_get_add_eos(vocab_tgt), llama_vocab_get_add_eos(vocab_dft),
+                llama_vocab_eos(vocab_tgt), llama_vocab_eos(vocab_dft));
         return 1;
     }
 
@@ -137,11 +145,12 @@ int main(int argc, char ** argv) {
         for (int i = SPEC_VOCAB_CHECK_START_TOKEN_ID; i < std::min(n_vocab_tgt, n_vocab_dft); ++i) {
             const char * token_text_tgt = llama_vocab_get_text(vocab_tgt, i);
             const char * token_text_dft = llama_vocab_get_text(vocab_dft, i);
+
             if (std::strcmp(token_text_tgt, token_text_dft) != 0) {
                 LOG_ERR("%s: draft model vocab must match target model to use speculation but ", __func__);
                 LOG_ERR("token %d content differs - target '%s', draft '%s'\n", i,
-                        common_token_to_piece(ctx_tgt, i).c_str(),
-                        common_token_to_piece(ctx_dft, i).c_str());
+                        common_token_to_piece(vocab_tgt, i).c_str(),
+                        common_token_to_piece(vocab_dft, i).c_str());
                 return 1;
             }
         }
@@ -183,7 +192,7 @@ int main(int argc, char ** argv) {
     //GGML_ASSERT(n_vocab == llama_vocab_n_tokens(model_dft));
 
     // how many tokens to draft each time
-    int n_draft = params.speculative.n_max;
+    int n_draft = params.speculative.draft.n_max;
 
     int n_predict = 0;
     int n_drafted = 0;
diff --git a/examples/sycl/CMakeLists.txt b/examples/sycl/CMakeLists.txt
index e4d5083e6..40e44eefc 100644
--- a/examples/sycl/CMakeLists.txt
+++ b/examples/sycl/CMakeLists.txt
@@ -5,5 +5,5 @@
 set(TARGET llama-ls-sycl-device)
 add_executable(${TARGET} ls-sycl-device.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/examples/sycl/start-svr.sh b/examples/sycl/start-svr.sh
new file mode 100755
index 000000000..55cd0210f
--- /dev/null
+++ b/examples/sycl/start-svr.sh
@@ -0,0 +1,124 @@
+#!/bin/bash
+
+#  MIT license
+#  Copyright (C) 2024 Intel Corporation
+#  SPDX-License-Identifier: MIT
+
+Help() {
+  cat << EOF
+Usage: $(basename "$0") [OPTIONS]
+
+This script processes files with specified options.
+
+Options:
+  -h, --help    Display this help message and exit.
+  -c, --context <value>    Set context length. Bigger need more memory.
+  -p, --promote <value>    Prompt to start generation with.
+  -m, --model   <value>    Full model file path.
+  -mg,--main-gpu <value>   Set main GPU ID (0 - n) for single GPU mode.
+  -sm,--split-mode <value> How to split the model across multiple GPUs, one of:
+                            - none: use one GPU only
+                            - layer (default): split layers and KV across GPUs
+                            - row: split rows across GPUs
+  -ngl,--n-gpu-layers <value>  Max. number of layers to store in VRAM (default: -1)
+  -lv,--log-verbosity <value>  Set the verbosity threshold. Messages with a higher verbosity will be
+                               ignored. Values:
+                                - 0: generic output
+                                - 1: error
+                                - 2: warning
+                                - 3: info
+                                - 4: debug
+
+
+EOF
+}
+
+BIN_FILE=./build/bin/llama-server
+SEED=0
+GPUS_SETTING=""
+
+MODEL_FILE=../models/Qwen3.5-4B-Q4_0.gguf
+NGL=99
+CONTEXT=4096
+GGML_SYCL_DEVICE=-1
+SPLIT_MODE=layer
+LOG_VERBOSE=3
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+        -c|--context)
+            CONTEXT=$2
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -m|--model)
+            MODEL_FILE="$2"
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -mg|--main-gpu)
+            GGML_SYCL_DEVICE=$2
+            SPLIT_MODE=none
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -sm|--split-mode)
+            SPLIT_MODE=$2
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -ngl|--n-gpu-layers)
+            NGL=$2
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -lv|--log-verbosity)
+            LOG_VERBOSE=$2
+            # Shift twice to consume both the option flag and its value
+            shift
+            shift
+            ;;
+        -h|--help)
+            Help
+            exit 0
+            ;;
+        *)
+            # Handle unknown options or stop processing options
+            echo "Invalid option: $1"
+            # Optional: exit script or shift to treat remaining as positional args
+            exit 1
+            ;;
+    esac
+done
+
+
+
+source /opt/intel/oneapi/setvars.sh
+
+#export GGML_SYCL_DEBUG=1
+
+#ZES_ENABLE_SYSMAN=1, Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory. Recommended to use when --split-mode = layer.
+
+#support malloc device memory more than 4GB.
+export UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
+echo "UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=${UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS}"
+
+if [ $GGML_SYCL_DEVICE -ne -1 ]; then
+    echo "Use $GGML_SYCL_DEVICE as main GPU"
+    #use signle GPU only
+    GPUS_SETTING="-mg $GGML_SYCL_DEVICE -sm ${SPLIT_MODE}"
+    export ONEAPI_DEVICE_SELECTOR="level_zero:${$GGML_SYCL_DEVICE}"
+    echo "ONEAPI_DEVICE_SELECTOR=${ONEAPI_DEVICE_SELECTOR}"
+else
+    echo "Use all Intel GPUs, including iGPU & dGPU"
+    GPUS_SETTING="-sm ${SPLIT_MODE}"
+ fi
+
+echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE}  --mmap "
+ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap --host 0.0.0.0 --port 8000
+
+
diff --git a/examples/sycl/test.sh b/examples/sycl/test.sh
index 140c19146..38d2e9268 100755
--- a/examples/sycl/test.sh
+++ b/examples/sycl/test.sh
@@ -38,7 +38,7 @@ SEED=0
 GPUS_SETTING=""
 
 INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
-MODEL_FILE=models/llama-2-7b.Q4_0.gguf
+MODEL_FILE=../models/llama-2-7b.Q4_0.gguf
 NGL=99
 CONTEXT=4096
 GGML_SYCL_DEVICE=-1
@@ -119,12 +119,13 @@ if [ $GGML_SYCL_DEVICE -ne -1 ]; then
     echo "Use $GGML_SYCL_DEVICE as main GPU"
     #use signle GPU only
     GPUS_SETTING="-mg $GGML_SYCL_DEVICE -sm ${SPLIT_MODE}"
-    export ONEAPI_DEVICE_SELECTOR="level_zero:${$GGML_SYCL_DEVICE}"
+    export ONEAPI_DEVICE_SELECTOR="level_zero:${GGML_SYCL_DEVICE}"
     echo "ONEAPI_DEVICE_SELECTOR=${ONEAPI_DEVICE_SELECTOR}"
 else
-   echo "Use all Intel GPUs, including iGPU & dGPU"
+    echo "Use all Intel GPUs, including iGPU & dGPU"
+    GPUS_SETTING="-sm ${SPLIT_MODE}"
  fi
 
-echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE}  --mmap "
-ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap
+echo "run cmd: ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE}  --mmap "
+ZES_ENABLE_SYSMAN=1 ${BIN_FILE} -m ${MODEL_FILE} -no-cnv -p "${INPUT_PROMPT}" -n 200 -e -ngl ${NGL} -s ${SEED} -c ${CONTEXT} ${GPUS_SETTING} -lv ${LOG_VERBOSE} --mmap
 
diff --git a/examples/sycl/win-start-svr.bat b/examples/sycl/win-start-svr.bat
new file mode 100644
index 000000000..4d850cbaa
--- /dev/null
+++ b/examples/sycl/win-start-svr.bat
@@ -0,0 +1,179 @@
+::  MIT license
+::  Copyright (C) 2024 Intel Corporation
+::  SPDX-License-Identifier: MIT
+
+@echo off
+setlocal EnableExtensions EnableDelayedExpansion
+
+set "BIN_FILE=.\build\bin\llama-server.exe"
+set "SEED=0"
+set "GPUS_SETTING="
+
+set "MODEL_FILE=..\models\Qwen3.5-4B-Q4_0.gguf"
+set "NGL=99"
+set "CONTEXT=4096"
+set "GGML_SYCL_DEVICE=-1"
+set "SPLIT_MODE=layer"
+set "LOG_VERBOSE=3"
+
+if "%~1"=="" goto after_args
+
+:parse_args
+if "%~1"=="" goto after_args
+
+if /I "%~1"=="-c" (
+  if "%~2"=="" goto missing_value
+  set "CONTEXT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--context" (
+  if "%~2"=="" goto missing_value
+  set "CONTEXT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-m" (
+  if "%~2"=="" goto missing_value
+  set "MODEL_FILE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--model" (
+  if "%~2"=="" goto missing_value
+  set "MODEL_FILE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-mg" (
+  if "%~2"=="" goto missing_value
+  set "GGML_SYCL_DEVICE=%~2"
+  set "SPLIT_MODE=none"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--main-gpu" (
+  if "%~2"=="" goto missing_value
+  set "GGML_SYCL_DEVICE=%~2"
+  set "SPLIT_MODE=none"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-sm" (
+  if "%~2"=="" goto missing_value
+  set "SPLIT_MODE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--split-mode" (
+  if "%~2"=="" goto missing_value
+  set "SPLIT_MODE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-ngl" (
+  if "%~2"=="" goto missing_value
+  set "NGL=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--n-gpu-layers" (
+  if "%~2"=="" goto missing_value
+  set "NGL=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-lv" (
+  if "%~2"=="" goto missing_value
+  set "LOG_VERBOSE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--log-verbosity" (
+  if "%~2"=="" goto missing_value
+  set "LOG_VERBOSE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-h" goto help
+if /I "%~1"=="--help" goto help
+
+echo Invalid option: %~1
+exit /b 1
+
+:missing_value
+echo Missing value for option: %~1
+exit /b 1
+
+:help
+echo Usage: %~n0 [OPTIONS]
+echo.
+echo This script processes files with specified options.
+echo.
+echo Options:
+echo   -h, --help    Display this help message and exit.
+echo   -c, --context ^<value^>    Set context length. Bigger need more memory.
+echo   -m, --model   ^<value^>    Full model file path.
+echo   -mg,--main-gpu ^<value^>   Set main GPU ID (0 - n) for single GPU mode.
+echo   -sm,--split-mode ^<value^> How to split the model across multiple GPUs, one of:
+echo                             - none: use one GPU only
+echo                             - layer (default): split layers and KV across GPUs
+echo                             - row: split rows across GPUs
+echo   -ngl,--n-gpu-layers ^<value^>  Max. number of layers to store in VRAM (default: -1)
+echo   -lv,--log-verbosity ^<value^>  Set the verbosity threshold. Messages with a higher verbosity will be
+echo                                ignored. Values:
+echo                                 - 0: generic output
+echo                                 - 1: error
+echo                                 - 2: warning
+echo                                 - 3: info
+echo                                 - 4: debug
+exit /b 0
+
+:after_args
+
+REM In Windows CMD, source is not available; call oneAPI setvars if present.
+if exist "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" (
+  call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" >nul
+) else (
+  echo Warning: oneAPI setvars.bat not found. Continuing without environment setup.
+)
+
+REM Support malloc device memory more than 4GB.
+set "UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1"
+echo UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=%UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS%
+
+if not "%GGML_SYCL_DEVICE%"=="-1" (
+  echo Use %GGML_SYCL_DEVICE% as main GPU
+  REM Use single GPU only.
+  set "GPUS_SETTING=-mg %GGML_SYCL_DEVICE% -sm %SPLIT_MODE%"
+  set "ONEAPI_DEVICE_SELECTOR=level_zero:%GGML_SYCL_DEVICE%"
+  echo ONEAPI_DEVICE_SELECTOR=%ONEAPI_DEVICE_SELECTOR%
+) else (
+  echo Use all Intel GPUs, including iGPU ^& dGPU
+  set "GPUS_SETTING=-sm %SPLIT_MODE%"
+)
+
+echo run cmd: ZES_ENABLE_SYSMAN=1 %BIN_FILE% -m "%MODEL_FILE%" -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap --host 0.0.0.0 --port 8000
+set "ZES_ENABLE_SYSMAN=1"
+%BIN_FILE% -m "%MODEL_FILE%" -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap --host 0.0.0.0 --port 8000
+
+endlocal
+
diff --git a/examples/sycl/win-test.bat b/examples/sycl/win-test.bat
index 1f2dab8d0..781d17705 100644
--- a/examples/sycl/win-test.bat
+++ b/examples/sycl/win-test.bat
@@ -2,10 +2,200 @@
 ::  Copyright (C) 2024 Intel Corporation
 ::  SPDX-License-Identifier: MIT
 
-set INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
-@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
 
-:: support malloc device memory more than 4GB.
-set UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1
-set LOAD_MODE="--mmap"
-.\build\bin\llama-completion.exe -m models\llama-2-7b.Q4_0.gguf -no-cnv -p %INPUT2% -n 400 -e -ngl 99 -s 0 %LOAD_MODE%
+@echo off
+setlocal EnableExtensions EnableDelayedExpansion
+
+REM MIT license
+REM Copyright (C) 2024 Intel Corporation
+REM SPDX-License-Identifier: MIT
+
+set "BIN_FILE=.\build\bin\llama-completion.exe"
+set "SEED=0"
+set "GPUS_SETTING="
+
+set "INPUT_PROMPT=Building a website can be done in 10 simple steps:^nStep 1:"
+set "MODEL_FILE=..\models\llama-2-7b.Q4_0.gguf"
+set "NGL=99"
+set "CONTEXT=4096"
+set "GGML_SYCL_DEVICE=-1"
+set "SPLIT_MODE=layer"
+set "LOG_VERBOSE=3"
+
+if "%~1"=="" goto after_args
+
+:parse_args
+if "%~1"=="" goto after_args
+
+if /I "%~1"=="-c" (
+  if "%~2"=="" goto missing_value
+  set "CONTEXT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--context" (
+  if "%~2"=="" goto missing_value
+  set "CONTEXT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-p" (
+  if "%~2"=="" goto missing_value
+  set "INPUT_PROMPT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--promote" (
+  if "%~2"=="" goto missing_value
+  set "INPUT_PROMPT=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-m" (
+  if "%~2"=="" goto missing_value
+  set "MODEL_FILE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--model" (
+  if "%~2"=="" goto missing_value
+  set "MODEL_FILE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-mg" (
+  if "%~2"=="" goto missing_value
+  set "GGML_SYCL_DEVICE=%~2"
+  set "SPLIT_MODE=none"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--main-gpu" (
+  if "%~2"=="" goto missing_value
+  set "GGML_SYCL_DEVICE=%~2"
+  set "SPLIT_MODE=none"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-sm" (
+  if "%~2"=="" goto missing_value
+  set "SPLIT_MODE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--split-mode" (
+  if "%~2"=="" goto missing_value
+  set "SPLIT_MODE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-ngl" (
+  if "%~2"=="" goto missing_value
+  set "NGL=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--n-gpu-layers" (
+  if "%~2"=="" goto missing_value
+  set "NGL=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-lv" (
+  if "%~2"=="" goto missing_value
+  set "LOG_VERBOSE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+if /I "%~1"=="--log-verbosity" (
+  if "%~2"=="" goto missing_value
+  set "LOG_VERBOSE=%~2"
+  shift
+  shift
+  goto parse_args
+)
+
+if /I "%~1"=="-h" goto help
+if /I "%~1"=="--help" goto help
+
+echo Invalid option: %~1
+exit /b 1
+
+:missing_value
+echo Missing value for option: %~1
+exit /b 1
+
+:help
+echo Usage: %~n0 [OPTIONS]
+echo.
+echo This script processes files with specified options.
+echo.
+echo Options:
+echo   -h, --help    Display this help message and exit.
+echo   -c, --context ^<value^>    Set context length. Bigger need more memory.
+echo   -p, --promote ^<value^>    Prompt to start generation with.
+echo   -m, --model   ^<value^>    Full model file path.
+echo   -mg,--main-gpu ^<value^>   Set main GPU ID (0 - n) for single GPU mode.
+echo   -sm,--split-mode ^<value^> How to split the model across multiple GPUs, one of:
+echo                             - none: use one GPU only
+echo                             - layer (default): split layers and KV across GPUs
+echo                             - row: split rows across GPUs
+echo   -ngl,--n-gpu-layers ^<value^>  Max. number of layers to store in VRAM (default: -1)
+echo   -lv,--log-verbosity ^<value^>  Set the verbosity threshold. Messages with a higher verbosity will be
+echo                                ignored. Values:
+echo                                 - 0: generic output
+echo                                 - 1: error
+echo                                 - 2: warning
+echo                                 - 3: info
+echo                                 - 4: debug
+exit /b 0
+
+:after_args
+
+REM In Windows CMD, source is not available; call oneAPI setvars if present.
+if exist "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" (
+  call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" >nul
+) else (
+  echo Warning: oneAPI setvars.bat not found. Continuing without environment setup.
+)
+
+REM Support malloc device memory more than 4GB.
+set "UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=1"
+echo UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS=%UR_L0_ENABLE_RELAXED_ALLOCATION_LIMITS%
+
+if not "%GGML_SYCL_DEVICE%"=="-1" (
+  echo Use %GGML_SYCL_DEVICE% as main GPU
+  REM Use single GPU only.
+  set "GPUS_SETTING=-mg %GGML_SYCL_DEVICE% -sm %SPLIT_MODE%"
+  set "ONEAPI_DEVICE_SELECTOR=level_zero:%GGML_SYCL_DEVICE%"
+  echo ONEAPI_DEVICE_SELECTOR=%ONEAPI_DEVICE_SELECTOR%
+) else (
+  echo Use all Intel GPUs, including iGPU ^& dGPU
+  set "GPUS_SETTING=-sm %SPLIT_MODE%"
+)
+
+echo run cmd: ZES_ENABLE_SYSMAN=1 %BIN_FILE% -m %MODEL_FILE% -no-cnv -p "%INPUT_PROMPT%" -n 200 -e -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap
+set "ZES_ENABLE_SYSMAN=1"
+%BIN_FILE% -m "%MODEL_FILE%" -no-cnv -p "%INPUT_PROMPT%" -n 200 -e -ngl %NGL% -s %SEED% -c %CONTEXT% %GPUS_SETTING% -lv %LOG_VERBOSE% --mmap
+
+endlocal
+
diff --git a/examples/training/CMakeLists.txt b/examples/training/CMakeLists.txt
index 64afe6ddc..8bb20d0f2 100644
--- a/examples/training/CMakeLists.txt
+++ b/examples/training/CMakeLists.txt
@@ -1,5 +1,5 @@
 set(TARGET llama-finetune)
 add_executable(${TARGET} finetune.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt
index 5834e544b..8dd4d6406 100644
--- a/ggml/CMakeLists.txt
+++ b/ggml/CMakeLists.txt
@@ -1,12 +1,15 @@
 cmake_minimum_required(VERSION 3.14...3.28) # for add_link_options and implicit target directories.
+
 project("ggml" C CXX ASM)
 
 ### GGML Version
 set(GGML_VERSION_MAJOR 0)
-set(GGML_VERSION_MINOR 9)
-set(GGML_VERSION_PATCH 11)
+set(GGML_VERSION_MINOR 11)
+set(GGML_VERSION_PATCH 0)
 set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
 
+list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")
+
 find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH)
 if(GIT_EXE)
     # Get current git commit hash
@@ -204,12 +207,14 @@ option(GGML_CUDA_NO_VMM                     "ggml: do not try to use CUDA VMM"
 option(GGML_CUDA_FA                         "ggml: compile ggml FlashAttention CUDA kernels"  ON)
 option(GGML_CUDA_FA_ALL_QUANTS              "ggml: compile all quants for FlashAttention"     OFF)
 option(GGML_CUDA_GRAPHS                     "ggml: use CUDA graphs (llama.cpp only)"          ${GGML_CUDA_GRAPHS_DEFAULT})
+option(GGML_CUDA_NCCL                       "ggml: use NVIDIA Collective Comm. Library"       ON)
 set   (GGML_CUDA_COMPRESSION_MODE "size" CACHE STRING
                                             "ggml: cuda link binary compression mode; requires cuda 12.8+")
 set_property(CACHE GGML_CUDA_COMPRESSION_MODE PROPERTY STRINGS "none;speed;balance;size")
 
 option(GGML_HIP                             "ggml: use HIP"                                   OFF)
-option(GGML_HIP_GRAPHS                      "ggml: use HIP graph, experimental, slow"         OFF)
+option(GGML_HIP_GRAPHS                      "ggml: use HIP graph"                              ON)
+option(GGML_HIP_RCCL                        "ggml: use ROCm Collective Comm. Library"         OFF)
 option(GGML_HIP_NO_VMM                      "ggml: do not try to use HIP VMM"                 ON)
 option(GGML_HIP_ROCWMMA_FATTN               "ggml: enable rocWMMA for FlashAttention"         OFF)
 option(GGML_HIP_MMQ_MFMA                    "ggml: enable MFMA MMA for CDNA in MMQ"           ON)
@@ -243,6 +248,7 @@ option(GGML_RPC                             "ggml: use RPC"
 option(GGML_SYCL                            "ggml: use SYCL"                                  OFF)
 option(GGML_SYCL_F16                        "ggml: use 16 bit floats for sycl calculations"   OFF)
 option(GGML_SYCL_GRAPH                      "ggml: enable graphs in the SYCL backend"         ON)
+option(GGML_SYCL_HOST_MEM_FALLBACK          "ggml: allow host memory fallback in SYCL reorder (requires kernel 6.8+)" ON)
 option(GGML_SYCL_DNN                        "ggml: enable oneDNN in the SYCL backend"         ON)
 set   (GGML_SYCL_TARGET "INTEL" CACHE STRING
                                             "ggml: sycl target device")
diff --git a/ggml/cmake/FindNCCL.cmake b/ggml/cmake/FindNCCL.cmake
new file mode 100644
index 000000000..67511e2d5
--- /dev/null
+++ b/ggml/cmake/FindNCCL.cmake
@@ -0,0 +1,36 @@
+# cmake/FindNCCL.cmake
+
+# NVIDIA does not distribute CMake files with NCCl, therefore use this file to find it instead.
+
+find_path(NCCL_INCLUDE_DIR
+    NAMES nccl.h
+    HINTS ${NCCL_ROOT} $ENV{NCCL_ROOT} $ENV{CUDA_HOME} /usr/local/cuda
+    PATH_SUFFIXES include
+)
+
+find_library(NCCL_LIBRARY
+    NAMES nccl
+    HINTS ${NCCL_ROOT} $ENV{NCCL_ROOT} $ENV{CUDA_HOME} /usr/local/cuda
+    PATH_SUFFIXES lib lib64
+)
+
+include(FindPackageHandleStandardArgs)
+find_package_handle_standard_args(NCCL
+    DEFAULT_MSG
+    NCCL_LIBRARY NCCL_INCLUDE_DIR
+)
+
+if(NCCL_FOUND)
+    set(NCCL_LIBRARIES ${NCCL_LIBRARY})
+    set(NCCL_INCLUDE_DIRS ${NCCL_INCLUDE_DIR})
+
+    if(NOT TARGET NCCL::NCCL)
+        add_library(NCCL::NCCL UNKNOWN IMPORTED)
+        set_target_properties(NCCL::NCCL PROPERTIES
+            IMPORTED_LOCATION "${NCCL_LIBRARY}"
+            INTERFACE_INCLUDE_DIRECTORIES "${NCCL_INCLUDE_DIR}"
+        )
+    endif()
+endif()
+
+mark_as_advanced(NCCL_INCLUDE_DIR NCCL_LIBRARY)
diff --git a/ggml/include/ggml-backend.h b/ggml/include/ggml-backend.h
index 9fd3f7f32..d0c7e5a1b 100644
--- a/ggml/include/ggml-backend.h
+++ b/ggml/include/ggml-backend.h
@@ -68,7 +68,7 @@ extern "C" {
     GGML_API void                           ggml_backend_buffer_reset         (ggml_backend_buffer_t buffer);
 
     // tensor copy between different backends
-    GGML_API void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst);
+    GGML_API void ggml_backend_tensor_copy(const struct ggml_tensor * src, struct ggml_tensor * dst);
 
     //
     // Backend (stream)
@@ -83,13 +83,17 @@ extern "C" {
     GGML_API size_t                     ggml_backend_get_alignment(ggml_backend_t backend);
     GGML_API size_t                     ggml_backend_get_max_size(ggml_backend_t backend);
 
-    GGML_API void ggml_backend_tensor_set_async(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_async   (ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_get_async   (ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_2d_async(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_get_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
 
     // "offset" refers to the offset in tensor->data for setting/getting data
-    GGML_API void ggml_backend_tensor_set(      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_get(const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
-    GGML_API void ggml_backend_tensor_memset(   struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set   (      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_get   (const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+    GGML_API void ggml_backend_tensor_set_2d(      struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_get_2d(const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+    GGML_API void ggml_backend_tensor_memset(      struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
 
     GGML_API void ggml_backend_synchronize(ggml_backend_t backend);
 
@@ -109,7 +113,7 @@ extern "C" {
     // the copy is performed after all the currently queued operations in backend_src
     // backend_dst will wait for the copy to complete before performing other operations
     // automatic fallback to sync copy if async is not supported
-    GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, struct ggml_tensor * src, struct ggml_tensor * dst);
+    GGML_API void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst);
 
     GGML_API ggml_backend_dev_t ggml_backend_get_device(ggml_backend_t backend);
 
@@ -135,7 +139,9 @@ extern "C" {
         // integrated GPU device using host memory
         GGML_BACKEND_DEVICE_TYPE_IGPU,
         // accelerator devices intended to be used together with the CPU backend (e.g. BLAS or AMX)
-        GGML_BACKEND_DEVICE_TYPE_ACCEL
+        GGML_BACKEND_DEVICE_TYPE_ACCEL,
+        // "meta" device wrapping multiple other devices for tensor parallelism
+        GGML_BACKEND_DEVICE_TYPE_META,
     };
 
     // functionality supported by the device
@@ -196,7 +202,12 @@ extern "C" {
 
     // Common functions that may be obtained using ggml_backend_reg_get_proc_address
 
-    // Split buffer type for tensor parallelism
+    // Context management and operations for faster communication between backends, used for tensor parallelism (meta backend)
+    typedef void * (*ggml_backend_comm_init_t)(ggml_backend_t * backends, size_t n_backends);
+    typedef void   (*ggml_backend_comm_free_t)(void * comm_ctx);
+    typedef bool   (*ggml_backend_comm_allreduce_tensor_t)(void * comm_ctx, struct ggml_tensor ** tensors);
+
+    // Split buffer type for tensor parallelism (old)
     typedef ggml_backend_buffer_type_t   (*ggml_backend_split_buffer_type_t)(int main_device, const float * tensor_split);
     // Set the number of threads for the backend
     typedef void                         (*ggml_backend_set_n_threads_t)(ggml_backend_t backend, int n_threads);
@@ -340,6 +351,53 @@ extern "C" {
     // Set a callback to be called for each resulting node during graph compute
     GGML_API void                 ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backend_sched_eval_callback callback, void * user_data);
 
+    //
+    // Meta backend
+    //
+
+#define GGML_BACKEND_META_MAX_DEVICES 16
+
+    enum ggml_backend_meta_split_axis {
+        // tensor split by tensor dimensions:
+        GGML_BACKEND_SPLIT_AXIS_0 = 0,
+        GGML_BACKEND_SPLIT_AXIS_1 = 1,
+        GGML_BACKEND_SPLIT_AXIS_2 = 2,
+        GGML_BACKEND_SPLIT_AXIS_3 = 3,
+
+        GGML_BACKEND_SPLIT_AXIS_MIRRORED = 10, // all values on all backends
+        GGML_BACKEND_SPLIT_AXIS_PARTIAL  = 11, // each backend has a partial sum
+
+        // for internal bookkeeping only:
+        GGML_BACKEND_SPLIT_AXIS_NONE    = 98,
+        GGML_BACKEND_SPLIT_AXIS_UNKNOWN = 99,
+    };
+    GGML_API const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis);
+
+    struct ggml_backend_meta_split_state {
+        enum ggml_backend_meta_split_axis axis;
+
+        // for tensors with axis >= 0 && axis < GGML_MAX_DIMS:
+        //   - each device has a slice of the tensor along the split axis
+        //   - most tensors have n_segments == 1 and a contiguous slice of the tensor data
+        //   - some tensors have an inhomogenenous data layout along the split axis,
+        //     those tensors are divided into segments which are each individually split across devices
+        //   - ne has one entry per segment and device that add up to ggml_tensor::ne for that axis,
+        //     the outer/inner loops are over segments/devices like [seg0_dev0, seg0_dev1, seg1_dev0, seg1_dev1],
+        //   - for example, a transformer may have a fused QKV matrix rather than 3 matrices, those would be 3 separate segments
+        //     that each need to be split individually across devices so that each device gets a slice of Q, K, and V
+        int64_t  ne[16*GGML_BACKEND_META_MAX_DEVICES];
+        uint32_t n_segments;
+    };
+
+    // function to assign split states for statically allocated tensors, compute tensor split states will be assigned to be compatible:
+    typedef struct ggml_backend_meta_split_state(*ggml_backend_meta_get_split_state_t)(const struct ggml_tensor * tensor, void * userdata);
+
+    // create a new meta device from "simple" devices, meta buffer type/buffer/backend is then derived from this:
+    // TODO: this looks a bit strange - a backend API creates a device. I think we should try
+    //       express this as a backend registry functionality instead
+    GGML_API ggml_backend_dev_t ggml_backend_meta_device(
+        ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud);
+
     //
     // Utils
     //
diff --git a/ggml/include/ggml-cuda.h b/ggml/include/ggml-cuda.h
index 22ad2c009..5436c7ef5 100644
--- a/ggml/include/ggml-cuda.h
+++ b/ggml/include/ggml-cuda.h
@@ -27,6 +27,9 @@ GGML_BACKEND_API bool ggml_backend_is_cuda(ggml_backend_t backend);
 // device buffer
 GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device);
 
+// conduct allreduce operation between devices
+GGML_BACKEND_API bool ggml_backend_cuda_allreduce_tensor(ggml_backend_t * backends, struct ggml_tensor ** tensors, size_t n_backends);
+
 // split tensor buffer that splits matrices by rows across multiple devices
 GGML_BACKEND_API ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split);
 
diff --git a/ggml/include/ggml-rpc.h b/ggml/include/ggml-rpc.h
index 1c11495b6..6fcf5a433 100644
--- a/ggml/include/ggml-rpc.h
+++ b/ggml/include/ggml-rpc.h
@@ -6,9 +6,9 @@
 extern "C" {
 #endif
 
-#define RPC_PROTO_MAJOR_VERSION    3
-#define RPC_PROTO_MINOR_VERSION    6
-#define RPC_PROTO_PATCH_VERSION    1
+#define RPC_PROTO_MAJOR_VERSION    4
+#define RPC_PROTO_MINOR_VERSION    0
+#define RPC_PROTO_PATCH_VERSION    0
 
 #ifdef  __cplusplus
 static_assert(GGML_OP_COUNT == 96, "GGML_OP_COUNT has changed - update RPC_PROTO_PATCH_VERSION");
diff --git a/ggml/include/ggml.h b/ggml/include/ggml.h
index 94dc09442..e169cc414 100644
--- a/ggml/include/ggml.h
+++ b/ggml/include/ggml.h
@@ -428,12 +428,13 @@ extern "C" {
         // GGML_TYPE_IQ4_NL_8_8 = 38,
         GGML_TYPE_MXFP4   = 39, // MXFP4 (1 block)
         GGML_TYPE_NVFP4   = 40, // NVFP4 (4 blocks, E4M3 scale)
-        GGML_TYPE_TURBO3_0 = 41, // TurboQuant 3-bit KV cache: 2-bit PolarQuant + 1-bit QJL
-        GGML_TYPE_TURBO4_0 = 42, // TurboQuant 4-bit KV cache: 3-bit PolarQuant + 1-bit QJL
-        GGML_TYPE_TURBO2_0 = 43, // TurboQuant 2-bit KV cache: 2-bit PolarQuant (no QJL)
-        GGML_TYPE_TQ3_1S  = 44, // TurboQuant 3-bit weight: WHT-rotated 8-level Lloyd-Max, block_size=32
-        GGML_TYPE_TQ4_1S  = 45, // TurboQuant 4-bit weight: WHT-rotated 16-level Lloyd-Max, block_size=32
-        GGML_TYPE_COUNT   = 46,
+        GGML_TYPE_Q1_0    = 41,
+        GGML_TYPE_TURBO2_0 = 42, // TurboQuant 2-bit KV cache: 2-bit PolarQuant (no QJL)
+        GGML_TYPE_TURBO3_0 = 43, // TurboQuant 3-bit KV cache: 2-bit PolarQuant + 1-bit QJL
+        GGML_TYPE_TURBO4_0 = 44, // TurboQuant 4-bit KV cache: 3-bit PolarQuant + 1-bit QJL
+        GGML_TYPE_TQ3_1S  = 45, // TurboQuant 3-bit weight: WHT-rotated 8-level Lloyd-Max, block_size=32
+        GGML_TYPE_TQ4_1S  = 46, // TurboQuant 4-bit weight: WHT-rotated 16-level Lloyd-Max, block_size=32
+        GGML_TYPE_COUNT   = 47,
     };
 
     // precision
@@ -442,6 +443,12 @@ extern "C" {
         GGML_PREC_F32     = 10,
     };
 
+    // op hint
+    enum ggml_op_hint {
+        GGML_HINT_NONE             = 0,
+        GGML_HINT_SRC0_IS_HADAMARD = 1,
+    };
+
     // model file types
     enum ggml_ftype {
         GGML_FTYPE_UNKNOWN        = -1,
@@ -470,6 +477,7 @@ extern "C" {
         GGML_FTYPE_MOSTLY_BF16    = 24, // except 1d tensors
         GGML_FTYPE_MOSTLY_MXFP4   = 25, // except 1d tensors
         GGML_FTYPE_MOSTLY_NVFP4   = 26, // except 1d tensors
+        GGML_FTYPE_MOSTLY_Q1_0    = 27, // except 1d tensors
     };
 
     // available tensor operations:
@@ -906,15 +914,17 @@ extern "C" {
             struct ggml_tensor  * b,
             struct ggml_tensor  * ids);
 
-    GGML_API struct ggml_tensor * ggml_add1(
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_add1(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
-            struct ggml_tensor  * b);
+            struct ggml_tensor  * b),
+        "use ggml_add instead");
 
-    GGML_API struct ggml_tensor * ggml_add1_inplace(
+    GGML_DEPRECATED(GGML_API struct ggml_tensor * ggml_add1_inplace(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
-            struct ggml_tensor  * b);
+            struct ggml_tensor  * b),
+        "use ggml_add_inplace instead");
 
     // dst = a
     // view(dst, nb1, nb2, nb3, offset) += b
@@ -1421,6 +1431,11 @@ extern "C" {
             struct ggml_tensor * a,
             enum ggml_prec       prec);
 
+    // change the hint of a matrix multiplication
+    GGML_API void ggml_mul_mat_set_hint(
+            struct ggml_tensor * a,
+            enum ggml_op_hint    hint);
+
     // indirect matrix multiplication
     GGML_API struct ggml_tensor * ggml_mul_mat_id(
             struct ggml_context * ctx,
@@ -1775,8 +1790,32 @@ extern "C" {
             int                   n_dims,
             int                   mode);
 
-    // custom RoPE
+    // RoPE operations with extended options
+    // a is the input tensor to apply RoPE to, shape [n_embd, n_head, n_token]
+    // b is an int32 vector with size n_token
     // c is freq factors (e.g. phi3-128k), (optional)
+    // mode can be GGML_ROPE_TYPE_NORMAL or NEOX; for MROPE and VISION mode, use ggml_rope_multi
+    //
+    // pseudo-code for computing theta:
+    //   for i in [0, n_dims/2):
+    //     theta[i] = b[i] * powf(freq_base, -2.0 * i / n_dims);
+    //     theta[i] = theta[i] / c[i];  # if c is provided, divide theta by c
+    //     theta[i] = rope_yarn(theta[i], ...);  # note: theta = theta * freq_scale is applied here
+    //
+    // other params are used by YaRN RoPE scaling, these default values will disable YaRN:
+    //   freq_scale  = 1.0f
+    //   ext_factor  = 0.0f
+    //   attn_factor = 1.0f
+    //   beta_fast   = 0.0f
+    //   beta_slow   = 0.0f
+    //
+    // example:
+    //   (marking: c = cos, s = sin, 0 = unrotated)
+    //   given a single head with size = 8 --> [00000000]
+    //   GGML_ROPE_TYPE_NORMAL  n_dims = 4 --> [cscs0000]
+    //   GGML_ROPE_TYPE_NORMAL  n_dims = 8 --> [cscscscs]
+    //   GGML_ROPE_TYPE_NEOX    n_dims = 4 --> [ccss0000]
+    //   GGML_ROPE_TYPE_NEOX    n_dims = 8 --> [ccccssss]
     GGML_API struct ggml_tensor * ggml_rope_ext(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
@@ -1792,6 +1831,36 @@ extern "C" {
             float                 beta_fast,
             float                 beta_slow);
 
+    // multi-dimensional RoPE, for Qwen-VL and similar vision models
+    // mode can be either VISION, MROPE, IMROPE, cannot be combined with NORMAL or NEOX
+    // sections specify how many dimensions to rotate in each section:
+    //   section length is equivalent to number of cos/sin pairs, NOT the number of dims
+    //   (i.e. sum of 4 sections are expected to be n_dims/2)
+    //   last sections can be 0, means ignored
+    // all other options are identical to ggml_rope_ext
+    //
+    // important note:
+    //   - NEOX ordering is automatically applied and cannot be disabled for MROPE and VISION
+    //     if you need normal ordering, there are 2 methods:
+    //     (1) split the tensor manually using ggml_view
+    //     (2) permute the weight upon conversion
+    //   - for VISION, n_dims must be head_size/2
+    //
+    // example M-RoPE:
+    //  given sections = [t=4, y=2, x=2, 0]
+    //  given a single head with size = 18 --> [000000000000000000]
+    //  GGML_ROPE_TYPE_MROPE   n_dims = 16 --> [ttttyyxxttttyyxx00] (cos/sin are applied in NEOX ordering)
+    //  GGML_ROPE_TYPE_IMROPE  n_dims = 16 --> [ttyxttyxttyxttyx00] (interleaved M-RoPE, still NEOX ordering)
+    //  note: the theta for each dim is computed the same way as ggml_rope_ext, no matter the section
+    //        in other words, idx used for theta: [0123456789... until n_dims/2], not reset for each section
+    //
+    // example vision RoPE:
+    //  given sections = [y=4, x=4, 0, 0] (last 2 sections are ignored)
+    //  given a single head with size = 8 --> [00000000]
+    //  GGML_ROPE_TYPE_VISION  n_dims = 4 --> [yyyyxxxx]
+    //  other values of n_dims are untested and is undefined behavior
+    //  note: unlike MROPE, the theta for each dim is computed differently for each section
+    //        in other words, idx used for theta: [0123] for y section, then [0123] for x section
     GGML_API struct ggml_tensor * ggml_rope_multi(
             struct ggml_context * ctx,
             struct ggml_tensor  * a,
diff --git a/ggml/src/CMakeLists.txt b/ggml/src/CMakeLists.txt
index 23515f9d3..4f5852d58 100644
--- a/ggml/src/CMakeLists.txt
+++ b/ggml/src/CMakeLists.txt
@@ -200,6 +200,7 @@ add_library(ggml-base
             ggml.cpp
             ggml-alloc.c
             ggml-backend.cpp
+            ggml-backend-meta.cpp
             ggml-opt.cpp
             ggml-threading.cpp
             ggml-threading.h
@@ -470,11 +471,10 @@ endforeach()
 
 target_link_libraries(ggml-base PRIVATE Threads::Threads)
 
-find_library(MATH_LIBRARY m)
-if (MATH_LIBRARY)
-    if (NOT WIN32 OR NOT DEFINED ENV{ONEAPI_ROOT})
-        target_link_libraries(ggml-base PRIVATE m)
-    endif()
+if (DEFINED MATH_LIBRARY)
+    target_link_libraries(ggml-base PRIVATE ${MATH_LIBRARY})
+elseif (NOT WIN32 AND NOT DEFINED ENV{ONEAPI_ROOT})
+    target_link_libraries(ggml-base PRIVATE m)
 endif()
 
 if (CMAKE_SYSTEM_NAME MATCHES "Android")
diff --git a/ggml/src/ggml-alloc.c b/ggml/src/ggml-alloc.c
index 7f414b231..a4b01ccf8 100644
--- a/ggml/src/ggml-alloc.c
+++ b/ggml/src/ggml-alloc.c
@@ -2,6 +2,7 @@
 #include "ggml-backend-impl.h"
 #include "ggml.h"
 #include "ggml-impl.h"
+
 #include <assert.h>
 #include <limits.h>
 #include <stdarg.h>
@@ -1236,6 +1237,9 @@ size_t ggml_backend_alloc_ctx_tensors_from_buft_size(struct ggml_context * ctx,
 
 ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) {
     size_t nbytes_total = 0;
+    if (ggml_backend_buft_is_meta(buft)) {
+        return ggml_backend_meta_alloc_ctx_tensors_from_buft(ctx, buft);
+    }
     return ggml_backend_alloc_ctx_tensors_from_buft_impl(ctx, buft, &nbytes_total, /*no_alloc =*/ false);
 }
 
diff --git a/ggml/src/ggml-backend-impl.h b/ggml/src/ggml-backend-impl.h
index 59190b7c4..9c56ec30c 100644
--- a/ggml/src/ggml-backend-impl.h
+++ b/ggml/src/ggml-backend-impl.h
@@ -49,6 +49,10 @@ extern "C" {
         void         (*memset_tensor)(ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor,     uint8_t value, size_t offset, size_t size);
         void         (*set_tensor)   (ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
         void         (*get_tensor)   (ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        // (optional) 2d data copies
+        void         (*set_tensor_2d)(ggml_backend_buffer_t buffer,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+        void         (*get_tensor_2d)(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+
         // (optional) tensor copy: dst is in the buffer, src may be in any buffer, including buffers from a different backend (return false if not supported)
         bool         (*cpy_tensor)   (ggml_backend_buffer_t buffer, const struct ggml_tensor * src, struct ggml_tensor * dst);
         // clear the entire buffer
@@ -80,6 +84,20 @@ extern "C" {
     GGML_API bool                  ggml_backend_buffer_is_multi_buffer(ggml_backend_buffer_t buffer);
     GGML_API void                  ggml_backend_multi_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage);
 
+    //
+    // Backend (meta)
+    //
+
+    GGML_API bool ggml_backend_is_meta       (ggml_backend_t backend);
+    GGML_API bool ggml_backend_buffer_is_meta(ggml_backend_buffer_t buf);
+    GGML_API bool ggml_backend_buft_is_meta  (ggml_backend_buffer_type_t buft);
+
+    GGML_API size_t         ggml_backend_meta_n_backends    (ggml_backend_t meta_backend);
+    GGML_API ggml_backend_t ggml_backend_meta_simple_backend(ggml_backend_t meta_backend, size_t index);
+
+    // temporary workaround to statically allocate tensors from a context in a deduplicated way:
+    GGML_API struct ggml_backend_buffer * ggml_backend_meta_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft);
+
     //
     // Backend (stream)
     //
@@ -90,8 +108,10 @@ extern "C" {
         void (*free)(ggml_backend_t backend);
 
         // (optional) asynchronous tensor data access
-        void (*set_tensor_async)(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
-        void (*get_tensor_async)(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        void (*set_tensor_async)   (ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
+        void (*get_tensor_async)   (ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size);
+        void (*set_tensor_2d_async)(ggml_backend_t backend,       struct ggml_tensor * tensor, const void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
+        void (*get_tensor_2d_async)(ggml_backend_t backend, const struct ggml_tensor * tensor,       void * data, size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data);
         bool (*cpy_tensor_async)(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst);
 
         // (optional) complete all pending operations (required if the backend supports async operations)
diff --git a/ggml/src/ggml-backend-meta.cpp b/ggml/src/ggml-backend-meta.cpp
new file mode 100644
index 000000000..c0ffd9a04
--- /dev/null
+++ b/ggml/src/ggml-backend-meta.cpp
@@ -0,0 +1,2143 @@
+#include "ggml.h"
+#include "ggml-impl.h"
+#include "ggml-backend.h"
+#include "ggml-backend-impl.h"
+#include "ggml-alloc.h"
+#include "ggml-cpp.h"
+
+#include <algorithm>
+#include <cassert>
+#include <cmath>
+#include <cstddef>
+#include <cstdint>
+#include <cstring>
+#include <map>
+#include <memory>
+#include <string>
+#include <tuple>
+#include <utility>
+#include <vector>
+
+struct ggml_backend_meta_device;
+struct ggml_backend_meta_buffer_type;
+struct ggml_backend_meta_buffer;
+struct ggml_backend_meta;
+
+const char * ggml_backend_meta_split_axis_name(enum ggml_backend_meta_split_axis split_axis) {
+    switch (split_axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+            return "0";
+        case GGML_BACKEND_SPLIT_AXIS_1:
+            return "1";
+        case GGML_BACKEND_SPLIT_AXIS_2:
+            return "2";
+        case GGML_BACKEND_SPLIT_AXIS_3:
+            return "3";
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            return "MIRRORED";
+        case GGML_BACKEND_SPLIT_AXIS_PARTIAL:
+            return "PARTIAL";
+        case GGML_BACKEND_SPLIT_AXIS_NONE:
+            return "NONE";
+        case GGML_BACKEND_SPLIT_AXIS_UNKNOWN:
+            return "UNKNOWN";
+        default:
+            GGML_ABORT("fatal error");
+    }
+}
+
+//
+// meta backend device
+//
+
+struct ggml_backend_meta_device_context {
+    std::vector<ggml_backend_dev_t>     simple_devs;
+    ggml_backend_meta_get_split_state_t get_split_state;
+    void *                              get_split_state_ud;
+
+    std::string name;
+    std::string description;
+
+    ggml_backend_meta_device_context(
+            std::vector<ggml_backend_dev_t> simple_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud) :
+            simple_devs(std::move(simple_devs)), get_split_state(get_split_state), get_split_state_ud(get_split_state_ud) {
+        name        = std::string("Meta(");
+        description = std::string("Meta(");
+        for (size_t i = 0; i < simple_devs.size(); i++) {
+            if (i > 0) {
+                name        += ",";
+                description += ",";
+            }
+            name        += ggml_backend_dev_name       (simple_devs[i]);
+            description += ggml_backend_dev_description(simple_devs[i]);
+        }
+        name        += ")";
+        description += ")";
+    }
+
+    bool operator<(const ggml_backend_meta_device_context & other) const {
+        return std::tie(simple_devs, get_split_state, get_split_state_ud)
+            < std::tie(other.simple_devs, other.get_split_state, other.get_split_state_ud);
+    }
+};
+
+static bool ggml_backend_dev_is_meta(ggml_backend_dev_t dev);
+
+static const char * ggml_backend_meta_device_get_name(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return meta_dev_ctx->name.c_str();
+}
+
+static const char * ggml_backend_meta_device_get_description(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return meta_dev_ctx->description.c_str();
+}
+
+static void ggml_backend_meta_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    *free  = 0;
+    *total = 0;
+    for (ggml_backend_dev_t dev : meta_dev_ctx->simple_devs) {
+        size_t tmp_free, tmp_total;
+        ggml_backend_dev_memory(dev, &tmp_free, &tmp_total);
+        *free  += tmp_free;
+        *total += tmp_total;
+    }
+}
+
+static enum ggml_backend_dev_type ggml_backend_meta_device_get_type(ggml_backend_dev_t dev) {
+    return GGML_BACKEND_DEVICE_TYPE_META;
+
+    GGML_UNUSED(dev);
+}
+
+static void ggml_backend_meta_device_get_props(ggml_backend_dev_t dev, ggml_backend_dev_props * props) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+
+    // TODO replace placeholders
+    props->name        = ggml_backend_meta_device_get_name(dev);
+    props->description = ggml_backend_meta_device_get_description(dev);
+    props->type        = ggml_backend_meta_device_get_type(dev);
+    props->device_id   = 0;
+
+    ggml_backend_meta_device_get_memory(dev, &props->memory_free, &props->memory_total);
+
+    props->caps = {
+        /* .async                 = */ true,
+        /* .host_buffer           = */ false, // Not implemented.
+        /* .buffer_from_host_ptr  = */ false, // Not implemented.
+        /* .events                = */ false, // Not implemented.
+    };
+    for (ggml_backend_dev_t simple_dev : meta_dev_ctx->simple_devs) {
+        ggml_backend_dev_props tmp_props;
+        ggml_backend_dev_get_props(simple_dev, &tmp_props);
+        props->caps.async                = props->caps.async                && tmp_props.caps.async;
+        props->caps.host_buffer          = props->caps.host_buffer          && tmp_props.caps.host_buffer;
+        props->caps.buffer_from_host_ptr = props->caps.buffer_from_host_ptr && tmp_props.caps.buffer_from_host_ptr;
+        props->caps.events               = props->caps.events               && tmp_props.caps.events;
+    }
+}
+
+static ggml_backend_t ggml_backend_meta_device_init_backend(ggml_backend_dev_t dev, const char * params);
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_buffer_type(ggml_backend_dev_t dev);
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_host_buffer_type(ggml_backend_dev_t dev);
+
+static bool ggml_backend_meta_device_supports_op(ggml_backend_dev_t dev, const ggml_tensor * op) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+    return std::all_of(meta_dev_ctx->simple_devs.begin(), meta_dev_ctx->simple_devs.end(),
+        [op](ggml_backend_dev_t simple_dev) { return ggml_backend_dev_supports_op(simple_dev, op); });
+}
+
+static bool ggml_backend_meta_device_supports_buft(ggml_backend_dev_t dev, ggml_backend_buffer_type_t buft) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    ggml_backend_dev_t dev_buft = ggml_backend_buft_get_device(buft);
+    if (!ggml_backend_dev_is_meta(dev_buft)) {
+        return false;
+    }
+    const ggml_backend_meta_device_context * meta_dev_ctx      = (const ggml_backend_meta_device_context *) dev->context;
+    const ggml_backend_meta_device_context * meta_buft_dev_ctx = (const ggml_backend_meta_device_context *) dev_buft->context;
+    if (meta_dev_ctx->simple_devs.size() != meta_buft_dev_ctx->simple_devs.size()) {
+        return false;
+    }
+    for (size_t i = 0; i < meta_dev_ctx->simple_devs.size(); i++) {
+        if (meta_dev_ctx->simple_devs[i] != meta_buft_dev_ctx->simple_devs[i]) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static const ggml_backend_device_i ggml_backend_meta_device_iface = {
+    /* .get_name             = */ ggml_backend_meta_device_get_name,
+    /* .get_description      = */ ggml_backend_meta_device_get_description,
+    /* .get_memory           = */ ggml_backend_meta_device_get_memory,
+    /* .get_type             = */ ggml_backend_meta_device_get_type,
+    /* .get_props            = */ ggml_backend_meta_device_get_props,
+    /* .init_backend         = */ ggml_backend_meta_device_init_backend,
+    /* .get_buffer_type      = */ ggml_backend_meta_device_get_buffer_type,
+    /* .get_host_buffer_type = */ ggml_backend_meta_device_get_host_buffer_type,
+    /* .buffer_from_host_ptr = */ nullptr,
+    /* .supports_op          = */ ggml_backend_meta_device_supports_op,
+    /* .supports_buft        = */ ggml_backend_meta_device_supports_buft,
+    /* .offload_op           = */ nullptr,
+    /* .event_new            = */ nullptr,
+    /* .event_free           = */ nullptr,
+    /* .event_synchronize    = */ nullptr,
+};
+
+static bool ggml_backend_dev_is_meta(ggml_backend_dev_t dev) {
+    return dev != nullptr && dev->iface.get_name == ggml_backend_meta_device_iface.get_name;
+}
+
+static size_t ggml_backend_meta_dev_n_devs(ggml_backend_dev_t meta_dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(meta_dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) meta_dev->context;
+    return meta_dev_ctx->simple_devs.size();
+}
+
+static ggml_backend_dev_t ggml_backend_meta_dev_simple_dev(ggml_backend_dev_t meta_dev, size_t index) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(meta_dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) meta_dev->context;
+    GGML_ASSERT(index < meta_dev_ctx->simple_devs.size());
+    return meta_dev_ctx->simple_devs[index];
+}
+
+ggml_backend_dev_t ggml_backend_meta_device(
+        ggml_backend_dev_t * devs, size_t n_devs, ggml_backend_meta_get_split_state_t get_split_state, void * get_split_state_ud) {
+    GGML_ASSERT(n_devs <= GGML_BACKEND_META_MAX_DEVICES);
+    // TODO: this is not thread-safe - needs to be fixed
+    static std::vector<std::unique_ptr<ggml_backend_meta_device_context>>         ctxs;
+    static std::map<ggml_backend_meta_device_context, struct ggml_backend_device> meta_devs;
+
+    std::vector<ggml_backend_dev_t> simple_devs;
+    simple_devs.reserve(n_devs);
+    for (size_t i = 0; i < n_devs; i++) {
+        simple_devs.push_back(devs[i]);
+    }
+    ggml_backend_meta_device_context ctx(simple_devs, get_split_state, get_split_state_ud);
+
+    {
+        auto it = meta_devs.find(ctx);
+        if (it != meta_devs.end()) {
+            return &it->second;
+        }
+    }
+    ctxs.push_back(std::make_unique<ggml_backend_meta_device_context>(ctx));
+
+    struct ggml_backend_device meta_dev = {
+        /*iface  =*/ ggml_backend_meta_device_iface,
+        /*reg    =*/ nullptr,
+        /*ctx    =*/ ctxs.back().get(),
+    };
+
+    auto result = meta_devs.emplace(*ctxs.back(), meta_dev);
+    return &result.first->second;
+}
+
+//
+// meta backend buffer type
+//
+
+struct ggml_backend_meta_buffer_type_context {
+    std::vector<ggml_backend_buffer_type_t> simple_bufts;
+
+    std::string name;
+
+    ggml_backend_meta_buffer_type_context(std::vector<ggml_backend_buffer_type_t> simple_bufts) : simple_bufts(std::move(simple_bufts)) {
+        name = "Meta(";
+        for (size_t i = 0; i < simple_bufts.size(); i++) {
+            if (i > 0) {
+                name += ",";
+            }
+            name += ggml_backend_buft_name(simple_bufts[i]);
+        }
+        name += ")";
+    }
+
+    bool operator<(const ggml_backend_meta_buffer_type_context & other) const {
+        return simple_bufts < other.simple_bufts;
+    }
+};
+
+static size_t ggml_backend_meta_buft_n_bufts(ggml_backend_buffer_type_t meta_buft) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(meta_buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) meta_buft->context;
+    return meta_buft_ctx->simple_bufts.size();
+}
+
+static const char * ggml_backend_meta_buffer_type_get_name(ggml_backend_buffer_type_t buft) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) buft->context;
+    return meta_buft_ctx->name.c_str();
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_buft_simple_buft(ggml_backend_buffer_type_t meta_buft, size_t index) {
+    GGML_ASSERT(ggml_backend_buft_is_meta(meta_buft));
+    const ggml_backend_meta_buffer_type_context * meta_buft_ctx = (const ggml_backend_meta_buffer_type_context *) meta_buft->context;
+    GGML_ASSERT(index < meta_buft_ctx->simple_bufts.size());
+    return meta_buft_ctx->simple_bufts[index];
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size);
+
+static size_t ggml_backend_meta_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_alignment = 1;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        const size_t alignment = ggml_backend_buft_get_alignment(ggml_backend_meta_buft_simple_buft(buft, i));
+        max_alignment = std::max(max_alignment, alignment);
+        GGML_ASSERT(max_alignment % alignment == 0);
+    }
+    return max_alignment;
+}
+
+static size_t ggml_backend_meta_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_size = SIZE_MAX;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        max_size = std::min(max_size, ggml_backend_buft_get_max_size(ggml_backend_meta_buft_simple_buft(buft, i)));
+    }
+    return max_size;
+}
+
+static size_t ggml_backend_meta_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    size_t max_alloc_size = 0;
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        const size_t alloc_size = ggml_backend_buft_get_alloc_size(ggml_backend_meta_buft_simple_buft(buft, i), tensor);
+        max_alloc_size = std::max(max_alloc_size, alloc_size);
+    }
+    return max_alloc_size;
+}
+
+static bool ggml_backend_meta_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        if (!ggml_backend_buft_is_host(ggml_backend_meta_buft_simple_buft(buft, i))) {
+            return false;
+        }
+    }
+    return true;
+}
+
+static const struct ggml_backend_buffer_type_i ggml_backend_meta_buffer_type_iface = {
+    /* .get_name         = */ ggml_backend_meta_buffer_type_get_name,
+    /* .alloc_buffer     = */ ggml_backend_meta_buffer_type_alloc_buffer,
+    /* .get_alignment    = */ ggml_backend_meta_buffer_type_get_alignment,
+    /* .get_max_size     = */ ggml_backend_meta_buffer_type_get_max_size,
+    /* .get_alloc_size   = */ ggml_backend_meta_buffer_type_get_alloc_size,
+    /* .is_host          = */ ggml_backend_meta_buffer_type_is_host,
+};
+
+bool ggml_backend_buft_is_meta(ggml_backend_buffer_type_t buft) {
+    return buft != nullptr && buft->iface.get_name == ggml_backend_meta_buffer_type_iface.get_name;
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_buffer_type(ggml_backend_dev_t dev) {
+    static std::map<ggml_backend_dev_t, struct ggml_backend_buffer_type> meta_bufts;
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    {
+        auto it = meta_bufts.find(dev);
+        if (it != meta_bufts.end()) {
+            return &it->second;
+        }
+    }
+
+    const size_t n_devs = ggml_backend_meta_dev_n_devs(dev);
+    std::vector<ggml_backend_buffer_type_t> simple_bufts;
+    simple_bufts.reserve(n_devs);
+    for (size_t i = 0; i < n_devs; i++) {
+        simple_bufts.push_back(ggml_backend_dev_buffer_type(ggml_backend_meta_dev_simple_dev(dev, i)));
+    }
+    ggml_backend_meta_buffer_type_context * buft_ctx = new ggml_backend_meta_buffer_type_context(simple_bufts);
+
+    struct ggml_backend_buffer_type meta_buft = {
+        /*iface  =*/ ggml_backend_meta_buffer_type_iface,
+        /*device =*/ dev,
+        /*ctx    =*/ buft_ctx,
+    };
+    auto result = meta_bufts.emplace(dev, meta_buft);
+    return &result.first->second;
+}
+
+static ggml_backend_buffer_type_t ggml_backend_meta_device_get_host_buffer_type(ggml_backend_dev_t dev) {
+    GGML_ASSERT(ggml_backend_dev_is_meta(dev));
+    const ggml_backend_meta_device_context * meta_dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+
+    ggml_backend_buffer_type_t host_buft = nullptr;
+    for (ggml_backend_dev_t simple_dev : meta_dev_ctx->simple_devs) {
+        ggml_backend_buffer_type_t simple_host_buft = ggml_backend_dev_host_buffer_type(simple_dev);
+        if (simple_host_buft == nullptr) {
+            return nullptr;
+        }
+        if (host_buft == nullptr) {
+            host_buft = simple_host_buft;
+        } else if (host_buft != simple_host_buft) {
+            // if different simple devices have different host buffer types,
+            // we cannot provide a single host buffer type for the meta device
+            return nullptr;
+        }
+    }
+    return host_buft;
+}
+
+//
+// meta backend buffer
+//
+
+struct ggml_backend_meta_buffer_context {
+    static constexpr size_t nbtc = GGML_TENSOR_SIZE - sizeof(ggml_tensor::padding);
+
+    std::map<std::pair<const ggml_tensor *, bool>, std::pair<ggml_backend_meta_split_state, char[nbtc]>> split_state_cache;
+    std::map<          const ggml_tensor *,        std::vector<ggml_tensor *>>                           simple_tensors;
+
+    struct buffer_config {
+        ggml_context          * ctx;
+        ggml_backend_buffer_t   buf;
+
+        buffer_config(ggml_context * ctx, ggml_backend_buffer_t buf) : ctx(ctx), buf(buf) {}
+    };
+    std::vector<buffer_config> buf_configs;
+
+    int debug;
+
+    ggml_backend_meta_buffer_context() {
+        const char * GGML_META_DEBUG = getenv("GGML_META_DEBUG");
+        debug = GGML_META_DEBUG ? atoi(GGML_META_DEBUG) : 0;
+    }
+};
+
+static void ggml_backend_meta_buffer_free_buffer(ggml_backend_buffer_t buffer) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) buffer->context;
+    for (auto & [ctx, buf] : buf_ctx->buf_configs) {
+        ggml_backend_buffer_free(buf);
+        ggml_free(ctx);
+    }
+    delete buf_ctx;
+}
+
+static size_t ggml_backend_meta_buffer_n_bufs(ggml_backend_buffer_t meta_buf) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(meta_buf));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) meta_buf->context;
+    return buf_ctx->buf_configs.size();
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_simple_buffer(ggml_backend_buffer_t meta_buf, size_t index) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(meta_buf));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) meta_buf->context;
+    GGML_ASSERT(index < buf_ctx->buf_configs.size());
+    return buf_ctx->buf_configs[index].buf;
+}
+
+static struct ggml_tensor * ggml_backend_meta_buffer_simple_tensor(const struct ggml_tensor * tensor, size_t index) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(tensor->buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) tensor->buffer->context;
+    GGML_ASSERT(index < buf_ctx->buf_configs.size());
+
+    auto it = buf_ctx->simple_tensors.find(tensor);
+    if (it == buf_ctx->simple_tensors.end()) {
+        return nullptr;
+    }
+    return it->second[index];
+}
+
+static struct ggml_backend_meta_split_state ggml_backend_meta_get_split_state(const struct ggml_tensor * tensor, bool assume_sync) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(tensor->buffer);
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) tensor->buffer->context;
+
+    auto split_states_equal = [&](const ggml_backend_meta_split_state & a, const ggml_backend_meta_split_state & b) -> bool {
+        if (a.axis != b.axis) {
+            return false;
+        }
+        for (size_t j = 0; j < n_bufs; j++) {
+            int64_t sum_a = 0;
+            for (size_t s = 0; s < a.n_segments; s++) {
+                sum_a += a.ne[s*n_bufs + j];
+            }
+            int64_t sum_b = 0;
+            for (size_t s = 0; s < b.n_segments; s++) {
+                sum_b += b.ne[s*n_bufs + j];
+            }
+            if (sum_a != sum_b) {
+                return false;
+            }
+        }
+        return true;
+    };
+
+    auto handle_generic = [&](const std::vector<ggml_backend_meta_split_state> & src_ss, bool scalar_only) -> ggml_backend_meta_split_state {
+        ggml_backend_meta_split_state ret = {GGML_BACKEND_SPLIT_AXIS_NONE, {0}, 1};
+        for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+            if (tensor->src[i] == nullptr || tensor->src[i] == tensor) {
+                continue;
+            }
+            if (ret.axis == GGML_BACKEND_SPLIT_AXIS_NONE) {
+                ret = src_ss[i];
+            } else if (!split_states_equal(src_ss[i], ret)) {
+                ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+                break;
+            }
+        }
+        if (ret.axis == GGML_BACKEND_SPLIT_AXIS_NONE) {
+            ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        if (scalar_only && ret.axis >= 0 && ret.axis < GGML_MAX_DIMS) {
+            ret = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        GGML_ASSERT(ret.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+        return ret;
+    };
+
+    // Some ops process data on a per-row bases:
+    auto handle_per_row = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_0);
+        return src_ss[0];
+    };
+
+    // Some ops broadcast the src1 data across src0:
+    auto handle_bin_bcast = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS &&
+                tensor->src[1]->ne[src_ss[0].axis] == 1 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        if (src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && (src_ss[0].axis == src_ss[1].axis ||
+           (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL)))) {
+            return src_ss[0]; // GGML_OP_ADD_ID
+        }
+        GGML_ASSERT(tensor->src[2] == nullptr || src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_concat = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        const ggml_backend_meta_split_axis concat_axis = ggml_backend_meta_split_axis(ggml_get_op_params_i32(tensor, 0));
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis >= 0 && src_ss[1].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(concat_axis != src_ss[1].axis);
+            return src_ss[1];
+        }
+        if (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(concat_axis != src_ss[0].axis);
+            return src_ss[0];
+        }
+        if (src_ss[0].axis == src_ss[1].axis && src_ss[0].axis != concat_axis) {
+            return src_ss[0];
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ true);
+    };
+
+    auto handle_mul_mat = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return {GGML_BACKEND_SPLIT_AXIS_MIRRORED, {0}, 1};
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            ggml_backend_meta_split_state ret = src_ss[0];
+            ret.axis = GGML_BACKEND_SPLIT_AXIS_0;
+            ret.n_segments = 1;
+            return ret;
+        }
+        if (src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_1 && src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            ggml_backend_meta_split_state ret = src_ss[1];
+            ret.n_segments = 1;
+            return ret;
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(split_states_equal(src_ss[0], src_ss[1]));
+            return {assume_sync ? GGML_BACKEND_SPLIT_AXIS_MIRRORED : GGML_BACKEND_SPLIT_AXIS_PARTIAL, {0}, 1};
+        }
+        GGML_ABORT("fatal error");
+        //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+    };
+
+    auto handle_cpy = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            int64_t ne_split_src = tensor->src[0]->ne[0];
+            for (int dim = 1; dim <= src_ss[0].axis; dim++) {
+                ne_split_src *= tensor->src[0]->ne[dim];
+            }
+            int64_t ne_split_dst = 1;
+            for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                ne_split_dst *= tensor->ne[dim];
+                if (ne_split_dst == ne_split_src) {
+                    return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                }
+            }
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_reshape = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1:
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3: {
+                GGML_ASSERT(!ggml_is_permuted(tensor) && !ggml_is_permuted(tensor->src[0]));
+                if (src_ss[0].axis == ggml_n_dims(tensor->src[0]) - 1) {
+                    return {ggml_backend_meta_split_axis(ggml_n_dims(tensor) - 1), {0}, 1};
+                }
+                std::vector<int64_t> base_ne_in;
+                base_ne_in.reserve(GGML_MAX_DIMS - src_ss[0].axis);
+                {
+                    base_ne_in.push_back(1);
+                    int dim = 0;
+                    for (; dim <= src_ss[0].axis; dim++) {
+                        base_ne_in[0] *= tensor->src[0]->ne[dim];
+                    }
+                    for (; dim <= GGML_MAX_DIMS; dim++) {
+                        base_ne_in.push_back(base_ne_in.back() * tensor->src[0]->ne[dim]);
+                    }
+                }
+                int64_t base_ne_out = 1;
+                for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                    const int64_t base_ne_out_next = base_ne_out *= tensor->ne[dim];
+                    for (const int64_t & bni : base_ne_in) {
+                        if (bni == base_ne_out_next) {
+                            return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                        }
+                    }
+                    if (base_ne_out_next > base_ne_in[0]) {
+                        GGML_ASSERT(dim + 1 < GGML_MAX_DIMS);
+                        return {ggml_backend_meta_split_axis(dim + 1), {0}, 1};
+                    }
+                    base_ne_out = base_ne_out_next;
+                }
+                GGML_ABORT("shape mismatch for %s", ggml_op_name(tensor->op));
+            }
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_view = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (ggml_is_contiguous(tensor) && ggml_is_contiguous(tensor->src[0])) {
+            return handle_reshape(src_ss);
+        }
+        const int axis = src_ss[0].axis;
+        {
+            bool all_strides_the_same = true;
+            for (int dim = 0; dim < GGML_MAX_DIMS; dim++) {
+                if (tensor->ne[dim] == 1 && tensor->src[0]->ne[dim] == 1) {
+                    continue;
+                }
+                if (tensor->nb[dim] != tensor->src[0]->nb[dim]) {
+                    all_strides_the_same = false;
+                    break;
+                }
+            }
+            if (all_strides_the_same) {
+                return src_ss[0];
+            }
+        }
+        if (!ggml_is_permuted(tensor) && !ggml_is_permuted(tensor->src[0]) && axis >= 0 && axis < GGML_MAX_DIMS-1) {
+            for (int dim = 0; dim < GGML_MAX_DIMS-1; dim++) {
+                if (tensor->nb[dim+1] == tensor->src[0]->nb[axis+1]) {
+                    return {ggml_backend_meta_split_axis(dim), {0}, 1};
+                }
+            }
+            GGML_ABORT("fatal error");
+        }
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED || src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL) {
+            return src_ss[0];
+        }
+        GGML_ABORT("view of permuted tensor not implemented");
+        //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+    };
+
+    auto handle_permute = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1:
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3: {
+                return {ggml_backend_meta_split_axis(tensor->op_params[src_ss[0].axis]), {0}, 1};
+            }
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_transpose = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        switch (src_ss[0].axis) {
+            case GGML_BACKEND_SPLIT_AXIS_0:
+            case GGML_BACKEND_SPLIT_AXIS_1: {
+                return {ggml_backend_meta_split_axis(int(src_ss[0].axis) ^ 1), {0}, 1};
+            }
+            case GGML_BACKEND_SPLIT_AXIS_2:
+            case GGML_BACKEND_SPLIT_AXIS_3:
+            case GGML_BACKEND_SPLIT_AXIS_MIRRORED:
+            case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+                return src_ss[0];
+            }
+            default: {
+                GGML_ABORT("fatal error");
+                //return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            }
+        }
+    };
+
+    auto handle_get_rows = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0 && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ true);
+    };
+
+    auto handle_set_rows = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[0].axis != GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        GGML_ASSERT(split_states_equal(src_ss[0], src_ss[2]));
+        return src_ss[0];
+    };
+
+    auto handle_rope = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        return src_ss[0];
+    };
+
+    auto handle_pad = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis >= 0 && src_ss[0].axis < GGML_MAX_DIMS) {
+            GGML_ASSERT(tensor->op_params[2*src_ss[0].axis + 0] == 0);
+            GGML_ASSERT(tensor->op_params[2*src_ss[0].axis + 1] == 0);
+        }
+        return src_ss[0];
+    };
+
+    auto handle_flash_attn_ext = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        GGML_ASSERT(                             src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(                             src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(                             src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        GGML_ASSERT(tensor->src[4] == nullptr || src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        GGML_ASSERT(tensor->src[4] == nullptr || src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_0);
+        return {GGML_BACKEND_SPLIT_AXIS_1, {0}, 1};
+    };
+
+    auto handle_ssm_conv = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == src_ss[1].axis) {
+            if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_0) {
+                return {GGML_BACKEND_SPLIT_AXIS_1, {0}, 1};
+            }
+            if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1) {
+                return {GGML_BACKEND_SPLIT_AXIS_0, {0}, 1};
+            }
+        }
+        return handle_generic(src_ss, /*scalar_only =*/ false);
+    };
+
+    auto handle_gated_delta_net = [&](const std::vector<ggml_backend_meta_split_state> & src_ss) -> ggml_backend_meta_split_state {
+        if (src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED &&
+            src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED &&
+            src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED && src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+            return src_ss[0];
+        }
+        GGML_ASSERT(src_ss[0].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[1].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[2].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[3].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[4].axis == GGML_BACKEND_SPLIT_AXIS_1);
+        GGML_ASSERT(src_ss[5].axis == GGML_BACKEND_SPLIT_AXIS_2);
+        return {GGML_BACKEND_SPLIT_AXIS_0, {0}, 1};
+    };
+
+    auto calculate_split_state = [&]() -> ggml_backend_meta_split_state {
+        if (ggml_nelements(tensor) == 0) {
+            return {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+        }
+        if (ggml_backend_buffer_get_usage(tensor->buffer) != GGML_BACKEND_BUFFER_USAGE_COMPUTE && tensor->view_src == nullptr) {
+            ggml_backend_dev_t dev = ggml_backend_buft_get_device(ggml_backend_buffer_get_type(tensor->buffer));
+            const ggml_backend_meta_device_context * dev_ctx = (const ggml_backend_meta_device_context *) dev->context;
+            ggml_backend_meta_split_state ret = dev_ctx->get_split_state(tensor, dev_ctx->get_split_state_ud);
+            if (ret.axis >= 0 && ret.axis <= GGML_MAX_DIMS) {
+                const int64_t granularity = ret.axis == GGML_BACKEND_SPLIT_AXIS_0 ? ggml_blck_size(tensor->type) : 1;
+                int64_t ne_sum = 0;
+                for (size_t sj = 0; sj < ret.n_segments*n_bufs; sj++) {
+                    GGML_ASSERT(ret.ne[sj] % granularity == 0);
+                    ne_sum += ret.ne[sj];
+                }
+                GGML_ASSERT(ne_sum == tensor->ne[ret.axis]);
+            }
+            return ret;
+        }
+
+        std::vector<ggml_backend_meta_split_state> src_ss(GGML_MAX_SRC, {GGML_BACKEND_SPLIT_AXIS_NONE, {0}, 1});
+        for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+            if (tensor->src[i] == nullptr || tensor->src[i] == tensor) {
+                src_ss[i] = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+                continue;
+            }
+            src_ss[i] = ggml_backend_meta_get_split_state(tensor->src[i], /*assume_sync =*/ true);
+            GGML_ASSERT(src_ss[i].axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+        }
+
+        ggml_backend_meta_split_state split_state;
+        switch (tensor->op) {
+            case GGML_OP_NONE: {
+                split_state = {GGML_BACKEND_SPLIT_AXIS_MIRRORED, {0}, 1};
+            } break;
+            case GGML_OP_DUP: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_ADD:
+            case GGML_OP_ADD_ID: {
+                split_state = handle_bin_bcast(src_ss);
+            } break;
+            case GGML_OP_ADD1:
+            case GGML_OP_ACC: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SUB:
+            case GGML_OP_MUL:
+            case GGML_OP_DIV: {
+                split_state = handle_bin_bcast(src_ss);
+            } break;
+            case GGML_OP_SQR:
+            case GGML_OP_SQRT:
+            case GGML_OP_LOG:
+            case GGML_OP_SIN:
+            case GGML_OP_COS: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_SUM: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SUM_ROWS:
+            case GGML_OP_CUMSUM:
+            case GGML_OP_MEAN:
+            case GGML_OP_ARGMAX:
+            case GGML_OP_COUNT_EQUAL: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_REPEAT:
+            case GGML_OP_REPEAT_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_CONCAT: {
+                split_state = handle_concat(src_ss);
+            } break;
+            case GGML_OP_SILU_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_NORM:
+            case GGML_OP_RMS_NORM:
+            case GGML_OP_RMS_NORM_BACK:
+            case GGML_OP_GROUP_NORM:
+            case GGML_OP_L2_NORM: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_MUL_MAT:
+            case GGML_OP_MUL_MAT_ID: {
+                split_state = handle_mul_mat(src_ss);
+            } break;
+            case GGML_OP_OUT_PROD: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SCALE: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_SET: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CPY: {
+                split_state = handle_cpy(src_ss);
+            } break;
+            case GGML_OP_CONT:
+            case GGML_OP_RESHAPE: {
+                split_state = handle_reshape(src_ss);
+            } break;
+            case GGML_OP_VIEW: {
+                split_state = handle_view(src_ss);
+            } break;
+            case GGML_OP_PERMUTE: {
+                split_state = handle_permute(src_ss);
+            } break;
+            case GGML_OP_TRANSPOSE: {
+                split_state = handle_transpose(src_ss);
+            } break;
+            case GGML_OP_GET_ROWS: {
+                split_state = handle_get_rows(src_ss);
+            } break;
+            case GGML_OP_GET_ROWS_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SET_ROWS: {
+                split_state = handle_set_rows(src_ss);
+            } break;
+            case GGML_OP_DIAG:
+            case GGML_OP_DIAG_MASK_INF:
+            case GGML_OP_DIAG_MASK_ZERO: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SOFT_MAX:
+            case GGML_OP_SOFT_MAX_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_ROPE: {
+                split_state = handle_rope(src_ss);
+            } break;
+            case GGML_OP_ROPE_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CLAMP: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_CONV_TRANSPOSE_1D:
+            case GGML_OP_IM2COL:
+            case GGML_OP_IM2COL_BACK:
+            case GGML_OP_IM2COL_3D:
+            case GGML_OP_CONV_2D:
+            case GGML_OP_CONV_3D:
+            case GGML_OP_CONV_2D_DW:
+            case GGML_OP_CONV_TRANSPOSE_2D:
+            case GGML_OP_POOL_1D:
+            case GGML_OP_POOL_2D:
+            case GGML_OP_POOL_2D_BACK:
+            case GGML_OP_UPSCALE: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_PAD: {
+                split_state = handle_pad(src_ss);
+            } break;
+            case GGML_OP_PAD_REFLECT_1D:
+            case GGML_OP_ROLL:
+            case GGML_OP_ARANGE:
+            case GGML_OP_TIMESTEP_EMBEDDING: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_ARGSORT:
+            case GGML_OP_TOP_K: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_LEAKY_RELU: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_TRI: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_FILL: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_FLASH_ATTN_EXT: {
+                split_state = handle_flash_attn_ext(src_ss);
+            } break;
+            case GGML_OP_FLASH_ATTN_BACK: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_SSM_CONV: {
+                split_state = handle_ssm_conv(src_ss);
+            } break;
+            case GGML_OP_SSM_SCAN:
+            case GGML_OP_WIN_PART:
+            case GGML_OP_WIN_UNPART:
+            case GGML_OP_GET_REL_POS:
+            case GGML_OP_ADD_REL_POS:
+            case GGML_OP_RWKV_WKV6:
+            case GGML_OP_GATED_LINEAR_ATTN:
+            case GGML_OP_RWKV_WKV7:
+            case GGML_OP_SOLVE_TRI: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_GATED_DELTA_NET: {
+                split_state = handle_gated_delta_net(src_ss);
+            } break;
+            case GGML_OP_UNARY: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            case GGML_OP_MAP_CUSTOM1:
+            case GGML_OP_MAP_CUSTOM2:
+            case GGML_OP_MAP_CUSTOM3:
+            case GGML_OP_CUSTOM: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ true);
+            } break;
+            case GGML_OP_CROSS_ENTROPY_LOSS:
+            case GGML_OP_CROSS_ENTROPY_LOSS_BACK: {
+                split_state = handle_per_row(src_ss);
+            } break;
+            case GGML_OP_OPT_STEP_ADAMW:
+            case GGML_OP_OPT_STEP_SGD:
+            case GGML_OP_GLU: {
+                split_state = handle_generic(src_ss, /*scalar_only =*/ false);
+            } break;
+            default: {
+                GGML_ABORT("ggml op not implemented: %s", ggml_op_name(tensor->op));
+                split_state = {GGML_BACKEND_SPLIT_AXIS_UNKNOWN, {0}, 1};
+            } break;
+        }
+        if (split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS) {
+            bool first_src_split_by_axis = true;
+            const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(tensor->buffer);
+
+            for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+                if (tensor->src[i] == nullptr || src_ss[i].axis < 0 || src_ss[i].axis >= GGML_MAX_DIMS) {
+                    continue;
+                }
+                if (first_src_split_by_axis) {
+                    for (size_t j = 0; j < n_bufs; j++) {
+                        // Take over ratio from src:
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            split_state.ne[s*n_bufs + j] = 0;
+                        }
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            split_state.ne[j] += src_ss[i].ne[s*n_bufs + j];
+                        }
+                        split_state.ne[j] *= tensor->ne[split_state.axis];
+                        if (split_state.ne[j] != 0 || tensor->src[i]->ne[src_ss[i].axis] != 0) {
+                            GGML_ASSERT(split_state.ne[j] % tensor->src[i]->ne[src_ss[i].axis] == 0);
+                            split_state.ne[j] /= tensor->src[i]->ne[src_ss[i].axis];
+                        }
+                    }
+                } else {
+                    for (size_t j = 0; j < n_bufs; j++) {
+                        int64_t sum = 0;
+                        for (size_t s = 0; s < src_ss[i].n_segments; s++) {
+                            sum += src_ss[i].ne[s*n_bufs + j];
+                        }
+                        // Assert that ratio is consistent:
+                        GGML_ASSERT(split_state.ne[j] * tensor->src[i]->ne[src_ss[i].axis]
+                                               == sum * tensor->ne[split_state.axis]);
+                    }
+                }
+                first_src_split_by_axis = false;
+            }
+            GGML_ASSERT(!first_src_split_by_axis);
+        }
+        return split_state;
+    };
+
+    const std::pair key = std::make_pair(tensor, assume_sync);
+    auto it = buf_ctx->split_state_cache.find(key);
+    if (it != buf_ctx->split_state_cache.end() && memcmp(it->second.second, (const char *) tensor, sizeof(it->second.second)) != 0) {
+        buf_ctx->split_state_cache.clear();
+        it = buf_ctx->split_state_cache.end();
+    }
+
+    if (it == buf_ctx->split_state_cache.end()) {
+        buf_ctx->split_state_cache[key].first = calculate_split_state();
+        memcpy(buf_ctx->split_state_cache[key].second, tensor, sizeof(buf_ctx->split_state_cache[key].second));
+        if (buf_ctx->debug > 0) {
+            std::string srcs_info;
+            for (size_t i = 0; i < GGML_MAX_SRC; i++) {
+                if (tensor->src[i] == nullptr) {
+                    continue;
+                }
+                if (!srcs_info.empty()) {
+                    srcs_info += ", ";
+                }
+                const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor->src[0], true);
+                const char * axis_name = ggml_backend_meta_split_axis_name(split_state.axis);
+                std::string ne_info;
+                for (size_t j = 0; j < n_bufs; j++) {
+                    if (!ne_info.empty()) {
+                        ne_info += ", ";
+                    }
+                    ne_info += std::to_string(split_state.ne[j]);
+                }
+                srcs_info += std::string(tensor->src[i]->name) + "[" + ggml_op_name(tensor->src[i]->op) + ", " + axis_name + ", {" + ne_info + "}]";
+            }
+            std::string ne_info;
+            for (size_t j = 0; j < n_bufs; j++) {
+                if (!ne_info.empty()) {
+                    ne_info += ", ";
+                }
+                ne_info += std::to_string(buf_ctx->split_state_cache[key].first.ne[j]);
+            }
+            GGML_LOG_DEBUG("SPLIT_STATE: {%s} -> %s[%s, %s, {%s}]\n", srcs_info.c_str(), tensor->name, ggml_op_name(tensor->op),
+                ggml_backend_meta_split_axis_name(buf_ctx->split_state_cache[key].first.axis), ne_info.c_str());
+        }
+    }
+
+    ggml_backend_meta_split_state ret = buf_ctx->split_state_cache[key].first;
+    GGML_ASSERT(ret.axis != GGML_BACKEND_SPLIT_AXIS_NONE);
+#ifndef NDEBUG
+    if (ret.axis >= 0 && ret.axis < GGML_MAX_DIMS) {
+        int64_t ne_ret = 0;
+        for (size_t sj = 0; sj < ret.n_segments*n_bufs; sj++) {
+            ne_ret += ret.ne[sj];
+        }
+        assert(ne_ret == tensor->ne[int(ret.axis)]);
+    }
+#endif // NDEBUG
+    return ret;
+}
+
+static void * ggml_backend_meta_buffer_get_base(ggml_backend_buffer_t buffer) {
+    GGML_UNUSED(buffer);
+    return (void *) 0x1000000000000000; // FIXME
+}
+
+static enum ggml_status ggml_backend_meta_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer));
+    ggml_backend_meta_buffer_context * buf_ctx = (ggml_backend_meta_buffer_context *) buffer->context;
+    const size_t n_simple_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ true);
+    GGML_ASSERT(ggml_nelements(tensor) == 0 || split_state.axis != GGML_BACKEND_SPLIT_AXIS_UNKNOWN);
+    GGML_ASSERT(split_state.n_segments <= 16);
+
+    int split_dim = split_state.axis;
+    int64_t ne[GGML_MAX_DIMS];
+    size_t  nb[GGML_MAX_DIMS];
+    for (size_t k = 0; k < GGML_MAX_DIMS; k++) {
+        ne[k] = tensor->ne[k];
+        nb[k] = tensor->nb[k];
+    }
+
+    std::vector<ggml_tensor *> simple_tensors;
+    simple_tensors.reserve(n_simple_bufs);
+    for (size_t j = 0; j < n_simple_bufs; j++) {
+        ggml_context          * simple_ctx = buf_ctx->buf_configs[j].ctx;
+        ggml_backend_buffer_t   simple_buf = buf_ctx->buf_configs[j].buf;
+
+        if (split_dim >= 0 && split_dim < GGML_MAX_DIMS) {
+            // TODO: the following assert fails for llama-parallel even though the results are correct:
+            // GGML_ASSERT(ggml_is_contiguously_allocated(tensor));
+            ne[split_dim] = 0;
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                ne[split_dim] += split_state.ne[s*n_simple_bufs + j];
+            }
+            for (int i = 0; i < GGML_MAX_DIMS; i++) {
+                if (tensor->nb[i] > tensor->nb[split_dim]) {
+                    nb[i] = tensor->nb[i] * ne[split_dim]/tensor->ne[split_dim];
+                }
+            }
+        }
+
+        ggml_tensor * t_ij = ggml_new_tensor(simple_ctx, tensor->type, GGML_MAX_DIMS, ne);
+        t_ij->op = tensor->op;
+        for (int i = 0; i < GGML_MAX_DIMS; i++) {
+            t_ij->nb[i] = nb[i];
+        }
+        t_ij->flags = tensor->flags;
+        memcpy(t_ij->op_params, tensor->op_params, sizeof(tensor->op_params));
+        ggml_set_name(t_ij, tensor->name);
+        t_ij->buffer = simple_buf;
+        t_ij->view_src = tensor->view_src;
+        t_ij->view_offs = tensor->view_offs;
+        if (t_ij->view_src != nullptr && ggml_backend_buffer_is_meta(t_ij->view_src->buffer)) {
+            t_ij->view_src = ggml_backend_meta_buffer_simple_tensor(tensor->view_src, j);
+            if (t_ij->view_offs > 0 && split_dim >= 0 && split_dim < GGML_MAX_DIMS) {
+                GGML_ASSERT(tensor->ne[split_dim] != 0);
+                const int split_dim_view_src = ggml_backend_meta_get_split_state(tensor->view_src, /*assume_sync =*/ true).axis;
+                GGML_ASSERT(split_dim_view_src >= 0 && split_dim_view_src < GGML_MAX_DIMS);
+
+                // The offset can be internal to the data split, in those cases the view offset should not be scaled.
+                // If however, the offset is larger than the data split then it needs to be scaled proportionally.
+                bool split_internal_offset = t_ij->view_offs <= tensor->view_src->nb[split_dim_view_src];
+                for (int i = 0; i < GGML_MAX_DIMS; i++) {
+                    const size_t dim_size = tensor->ne[i] * tensor->nb[i];
+                    if (tensor->view_offs <= dim_size && dim_size < tensor->nb[split_dim]) {
+                        split_internal_offset = true;
+                        break;
+                    }
+                }
+                if (!split_internal_offset) {
+                    t_ij->view_offs = t_ij->view_offs * ne[split_dim]/tensor->ne[split_dim];
+                }
+            }
+        }
+        if (t_ij->view_src != nullptr) {
+            t_ij->data = (char *) t_ij->view_src->data + t_ij->view_offs;
+        } else if (simple_buf != nullptr) {
+            t_ij->data = (char *) ggml_backend_buffer_get_base(simple_buf)
+                + size_t(tensor->data) - size_t(ggml_backend_buffer_get_base(buffer));
+        }
+        t_ij->extra = tensor->extra;
+        for (int i = 0; i < GGML_MAX_SRC; i++) {
+            t_ij->src[i] = tensor->src[i];
+            if (tensor->src[i] == tensor) {
+                t_ij->src[i] = t_ij;
+            } else if (t_ij->src[i] != nullptr && ggml_backend_buffer_is_meta(t_ij->src[i]->buffer)) {
+                t_ij->src[i] = ggml_backend_meta_buffer_simple_tensor(tensor->src[i], j);
+            }
+        }
+
+        simple_tensors.push_back(t_ij);
+    }
+
+    // If one of the sources has a zero-sized slice, disable the computation:
+    for (int i = 0; i < GGML_MAX_SRC; i++) {
+        if (tensor->src[i] == nullptr || !ggml_backend_buffer_is_meta(tensor->src[i]->buffer)) {
+            continue;
+        }
+
+        const ggml_backend_meta_split_state split_state_src = ggml_backend_meta_get_split_state(tensor->src[i], /*assume_sync =*/ true);
+        if (split_state_src.axis < 0 || split_state_src.axis >= GGML_MAX_DIMS) {
+            continue;
+        }
+        for (size_t j = 0; j < n_simple_bufs; j++) {
+            int64_t ne_sum = 0;
+            for (size_t s = 0; s < split_state_src.n_segments; s++) {
+                ne_sum += split_state_src.ne[s*n_simple_bufs + j];
+            }
+            if (ne_sum == 0) {
+                simple_tensors[j]->flags &= ~GGML_TENSOR_FLAG_COMPUTE;
+            }
+        }
+    }
+
+    buf_ctx->simple_tensors[tensor] = simple_tensors;
+
+    return GGML_STATUS_SUCCESS;
+}
+
+static void ggml_backend_meta_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+
+    if (split_state.n_segments != 1) {
+        GGML_ASSERT(split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS);
+        GGML_ASSERT(tensor->ne[3] == 1);
+
+        size_t offset_data = 0;
+        std::vector<size_t> simple_offsets(n_bufs, 0);
+        if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(tensor->ne[2] == 1);
+
+            const size_t row_stride = tensor->nb[1];
+            GGML_ASSERT(offset % row_stride == 0);
+            GGML_ASSERT(size   % row_stride == 0);
+            const int64_t r_start = offset / row_stride;
+            const int64_t r_count = size   / row_stride;
+            GGML_ASSERT(r_start + r_count <= tensor->ne[1]);
+
+            const int64_t blck_size = ggml_blck_size(tensor->type);
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                for (size_t j = 0; j < n_bufs; j++) {
+                    ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                    GGML_ASSERT(split_state.ne[s*n_bufs + j] % blck_size == 0);
+                    const size_t nbytes = split_state.ne[s*n_bufs + j]/blck_size * tensor->nb[0];
+                    ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_data,
+                        simple_offsets[j] + r_start * simple_tensor->nb[1], nbytes,
+                        r_count, simple_tensor->nb[1], tensor->nb[1]);
+                    offset_data       += nbytes;
+                    simple_offsets[j] += nbytes;
+                }
+            }
+            GGML_ASSERT(offset_data*r_count == size);
+            return;
+        }
+        GGML_ASSERT(split_state.axis == GGML_BACKEND_SPLIT_AXIS_1);
+
+        const size_t row_stride = tensor->nb[2];
+        GGML_ASSERT(offset % row_stride == 0);
+        GGML_ASSERT(size   % row_stride == 0);
+        const int64_t r_start = offset / row_stride;
+        const int64_t r_count = size   / row_stride;
+        GGML_ASSERT(r_start + r_count <= tensor->ne[2]);
+
+        for (size_t s = 0; s < split_state.n_segments; s++) {
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t nbytes = split_state.ne[s*n_bufs + j] * tensor->nb[1];
+                ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_data,
+                    simple_offsets[j] + r_start * simple_tensor->nb[2], nbytes,
+                    r_count, simple_tensor->nb[2], tensor->nb[2]);
+                offset_data       += nbytes;
+                simple_offsets[j] += nbytes;
+            }
+        }
+        GGML_ASSERT(offset_data*r_count == size);
+        return;
+    }
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                const size_t simple_offset = i_start * chunk_size_j;
+                ggml_backend_tensor_set_2d(simple_tensor, (const char *) data + offset_j, simple_offset, chunk_size_j, i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                ggml_backend_tensor_set(simple_tensor, data, offset, size);
+            }
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_PARTIAL: {
+            GGML_ASSERT(tensor->type == GGML_TYPE_F32);
+            const int64_t ne = ggml_nelements(tensor);
+            std::vector<float> tmp;
+            tmp.reserve(ne);
+            for (int64_t i = 0; i < ne; i++) {
+                tmp.push_back(((const float *) data)[i] / n_bufs);
+            }
+            for (size_t j = 0; j < n_bufs; j++) {
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                ggml_backend_tensor_set(simple_tensor, tmp.data(), offset, size);
+            }
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    const size_t n_bufs = ggml_backend_meta_buffer_n_bufs(buffer);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+
+    if (split_state.n_segments != 1) {
+        GGML_ASSERT(split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS);
+        GGML_ASSERT(tensor->ne[3] == 1);
+
+        size_t offset_data = 0;
+        std::vector<size_t> simple_offsets(n_bufs, 0);
+        if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_0) {
+            GGML_ASSERT(tensor->ne[2] == 1);
+
+            const size_t row_stride = tensor->nb[1];
+            GGML_ASSERT(offset % row_stride == 0);
+            GGML_ASSERT(size   % row_stride == 0);
+            const int64_t r_start = offset / row_stride;
+            const int64_t r_count = size   / row_stride;
+            GGML_ASSERT(r_start + r_count <= tensor->ne[1]);
+
+            const int64_t blck_size = ggml_blck_size(tensor->type);
+            for (size_t s = 0; s < split_state.n_segments; s++) {
+                for (size_t j = 0; j < n_bufs; j++) {
+                    const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                    GGML_ASSERT(split_state.ne[s*n_bufs + j] % blck_size == 0);
+                    const size_t nbytes = split_state.ne[s*n_bufs + j]/blck_size * tensor->nb[0];
+                    ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data,
+                        simple_offsets[j] + r_start * simple_tensor->nb[1], nbytes,
+                        r_count, simple_tensor->nb[1], tensor->nb[1]);
+                    offset_data       += nbytes;
+                    simple_offsets[j] += nbytes;
+                }
+            }
+            GGML_ASSERT(offset_data*r_count == size);
+            return;
+        }
+        GGML_ASSERT(split_state.axis == GGML_BACKEND_SPLIT_AXIS_1);
+
+        const size_t row_stride = tensor->nb[2];
+        GGML_ASSERT(offset % row_stride == 0);
+        GGML_ASSERT(size   % row_stride == 0);
+        const int64_t r_start = offset / row_stride;
+        const int64_t r_count = size   / row_stride;
+        GGML_ASSERT(r_start + r_count <= tensor->ne[2]);
+
+        for (size_t s = 0; s < split_state.n_segments; s++) {
+            for (size_t j = 0; j < n_bufs; j++) {
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t nbytes = split_state.ne[s*n_bufs + j] * tensor->nb[1];
+                ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_data,
+                    simple_offsets[j] + r_start * simple_tensor->nb[2], nbytes,
+                    r_count, simple_tensor->nb[2], tensor->nb[2]);
+                offset_data       += nbytes;
+                simple_offsets[j] += nbytes;
+            }
+        }
+        GGML_ASSERT(offset_data*r_count == size);
+        return;
+    }
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_bufs; j++){
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                const size_t simple_offset = i_start * chunk_size_j;
+                ggml_backend_tensor_get_2d(simple_tensor, (char *) data + offset_j, simple_offset, chunk_size_j, i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            // TODO other simple backend may be better
+            const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, 0);
+            ggml_backend_tensor_get(simple_tensor, data, offset, size);
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
+    const size_t n_buffers = ggml_backend_meta_buffer_n_bufs(buffer);
+    for (size_t i = 0; i < n_buffers; i++) {
+        ggml_backend_buffer_clear(ggml_backend_meta_buffer_simple_buffer(buffer, i), value);
+    }
+}
+
+static void ggml_backend_meta_buffer_reset(ggml_backend_buffer_t buffer) {
+    const size_t n_buffers = ggml_backend_meta_buffer_n_bufs(buffer);
+    for (size_t i = 0; i < n_buffers; i++) {
+        ggml_backend_buffer_reset(ggml_backend_meta_buffer_simple_buffer(buffer, i));
+    }
+}
+
+static const ggml_backend_buffer_i ggml_backend_meta_buffer_iface = {
+    /* .free_buffer     = */ ggml_backend_meta_buffer_free_buffer,
+    /* .get_base        = */ ggml_backend_meta_buffer_get_base,
+    /* .init_tensor     = */ ggml_backend_meta_buffer_init_tensor,
+    /* .memset_tensor   = */ nullptr, // TODO implement
+    /* .set_tensor      = */ ggml_backend_meta_buffer_set_tensor,
+    /* .get_tensor      = */ ggml_backend_meta_buffer_get_tensor,
+    /* .set_tensor_2d   = */ nullptr,
+    /* .get_tensor_2d   = */ nullptr,
+    /* .cpy_tensor      = */ nullptr,
+    /* .clear           = */ ggml_backend_meta_buffer_clear,
+    /* .reset           = */ ggml_backend_meta_buffer_reset,
+};
+
+bool ggml_backend_buffer_is_meta(ggml_backend_buffer_t buf) {
+    return buf != nullptr && buf->iface.free_buffer == ggml_backend_meta_buffer_iface.free_buffer;
+}
+
+static ggml_backend_buffer_t ggml_backend_meta_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+
+    ggml_init_params params = {
+        /*.mem_size   =*/ 1024*1024*1024, // FIXME
+        /*.mem_buffer =*/ nullptr,
+        /*.no_alloc   =*/ true,
+    };
+
+    ggml_backend_meta_buffer_context * buf_ctx = new ggml_backend_meta_buffer_context();
+    size_t max_size = 0;
+    buf_ctx->buf_configs.reserve(n_simple_bufts);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        ggml_backend_buffer_t simple_buf = ggml_backend_buft_alloc_buffer(ggml_backend_meta_buft_simple_buft(buft, i), size);
+        max_size = std::max(max_size, ggml_backend_buffer_get_size(simple_buf));
+        buf_ctx->buf_configs.emplace_back(ggml_init(params), simple_buf);
+    }
+
+    return ggml_backend_buffer_init(buft, ggml_backend_meta_buffer_iface, buf_ctx, max_size);
+}
+
+struct ggml_backend_buffer * ggml_backend_meta_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) {
+    const size_t n_simple_bufts = ggml_backend_meta_buft_n_bufts(buft);
+
+    ggml_init_params params = {
+        /*.mem_size   =*/ 1024*1024*1024, // FIXME
+        /*.mem_buffer =*/ nullptr,
+        /*.no_alloc   =*/ true,
+    };
+
+    ggml_backend_meta_buffer_context * meta_buf_ctx = new ggml_backend_meta_buffer_context();
+    meta_buf_ctx->buf_configs.reserve(n_simple_bufts);
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        meta_buf_ctx->buf_configs.emplace_back(ggml_init(params), nullptr);
+    }
+
+    ggml_backend_buffer_t meta_buf = ggml_backend_buffer_init(buft, ggml_backend_meta_buffer_iface, meta_buf_ctx, 0);
+    for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) {
+        t->buffer = meta_buf;
+        ggml_backend_meta_buffer_init_tensor(meta_buf, t);
+        t->data = (void *) 0x2000000000000000; // FIXME
+    }
+    for (size_t i = 0; i < n_simple_bufts; i++) {
+        meta_buf_ctx->buf_configs[i].buf = ggml_backend_alloc_ctx_tensors_from_buft(
+            meta_buf_ctx->buf_configs[i].ctx, ggml_backend_meta_buft_simple_buft(buft, i));
+        meta_buf->size = std::max(meta_buf->size, ggml_backend_buffer_get_size(meta_buf_ctx->buf_configs[i].buf));
+    }
+    return meta_buf;
+}
+
+//
+// meta backend
+//
+
+static ggml_guid_t ggml_backend_meta_guid() {
+    static ggml_guid guid = {0xf1, 0x0e, 0x34, 0xcf, 0x9c, 0x6f, 0x43, 0xcb, 0x96, 0x92, 0xbe, 0x8e, 0xbb, 0x71, 0x3f, 0xda};
+    return &guid;
+}
+
+struct ggml_backend_meta_context {
+    struct cgraph_config {
+        ggml_cgraph * cgraph_main = nullptr;
+        int           offset      = 0; // Node offset vs. original graph
+
+        std::vector<ggml_cgraph *> cgraphs_aux;
+    };
+    struct backend_config {
+        ggml_backend_t backend;
+
+        std::vector<cgraph_config>           cgraphs;
+        std::vector<ggml_tensor *>           nodes;
+        std::vector<ggml_backend_buffer_ptr> bufs;
+
+        backend_config(ggml_backend_t backend, const size_t n_reduce_steps) : backend(backend) {
+            bufs.resize(n_reduce_steps);
+        }
+    };
+    std::string                 name;
+    std::vector<backend_config> backend_configs;
+    ggml_context_ptr            ctx;
+    std::vector<ggml_cgraph *>  cgraphs_aux;
+    std::vector<ggml_tensor *>  nodes_aux;
+    size_t                      n_reduce_steps;
+    int                         max_nnodes    = 0;
+    size_t                      max_tmp_size  = 0;
+    size_t                      max_subgraphs = 0;
+    size_t                      n_subgraphs   = 0;
+    uint64_t                    uid           = 0;
+
+    void *                               comm_ctx       = nullptr;
+    ggml_backend_comm_allreduce_tensor_t comm_allreduce = nullptr;
+
+    ggml_backend_meta_context(ggml_backend_dev_t meta_dev, const char * params) {
+        const size_t n_devs = ggml_backend_meta_dev_n_devs(meta_dev);
+        n_reduce_steps = std::ceil(std::log2(n_devs));
+        name = "Meta(";
+        std::vector<ggml_backend_t> simple_backends;
+        backend_configs.reserve(n_devs);
+        simple_backends.reserve(n_devs);
+        for (size_t i = 0; i < n_devs; i++) {
+            ggml_backend_dev_t simple_dev = ggml_backend_meta_dev_simple_dev(meta_dev, i);
+            if (i > 0) {
+                name += ",";
+            }
+            name += ggml_backend_dev_name(simple_dev);
+            simple_backends.push_back(ggml_backend_dev_init(simple_dev, params));
+            backend_configs.emplace_back(simple_backends.back(), n_reduce_steps);
+        }
+        name += ")";
+
+        if (n_devs > 1) {
+            ggml_backend_comm_init_t comm_init = (ggml_backend_comm_init_t) ggml_backend_reg_get_proc_address(
+                ggml_backend_dev_backend_reg(ggml_backend_get_device(simple_backends[0])), "ggml_backend_comm_init");
+            if (comm_init != nullptr) {
+                comm_ctx = comm_init(simple_backends.data(), simple_backends.size());
+            }
+        }
+        if (comm_ctx != nullptr) {
+            comm_allreduce = (ggml_backend_comm_allreduce_tensor_t)
+                ggml_backend_reg_get_proc_address(ggml_backend_dev_backend_reg(
+                    ggml_backend_get_device(simple_backends[0])), "ggml_backend_comm_allreduce_tensor");
+            GGML_ASSERT(comm_allreduce != nullptr);
+        }
+    }
+
+    ~ggml_backend_meta_context() {
+        if (comm_ctx != nullptr) {
+            ggml_backend_comm_free_t comm_free = (ggml_backend_comm_free_t) ggml_backend_reg_get_proc_address(
+                ggml_backend_dev_backend_reg(ggml_backend_get_device(backend_configs[0].backend)), "ggml_backend_comm_free");
+            GGML_ASSERT(comm_free != nullptr);
+            comm_free(comm_ctx);
+        }
+        for (auto & bc : backend_configs) {
+            ggml_backend_free(bc.backend);
+        }
+    }
+};
+
+static const char * ggml_backend_meta_get_name(ggml_backend_t backend) {
+    GGML_ASSERT(ggml_backend_is_meta(backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) backend->context;
+    return backend_ctx->name.c_str();
+}
+
+static void ggml_backend_meta_free(ggml_backend_t backend) {
+    GGML_ASSERT(ggml_backend_is_meta(backend));
+    ggml_backend_meta_context * backend_ctx = (ggml_backend_meta_context *) backend->context;
+    delete backend_ctx;
+    delete backend;
+}
+
+static void ggml_backend_meta_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    GGML_ASSERT(offset == 0);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+    GGML_ASSERT(split_state.n_segments == 1);
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_backends; j++){
+                ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, j);
+                ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                ggml_backend_tensor_set_2d_async(simple_backend, simple_tensor, (const char *) data + offset_j, offset, chunk_size_j,
+                    i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            for (size_t j = 0; j < n_backends; j++) {
+                ggml_backend_tensor_set_async(
+                    ggml_backend_meta_simple_backend(backend, j), ggml_backend_meta_buffer_simple_tensor(tensor, j), data, offset, size);
+            }
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    GGML_ASSERT(offset == 0);
+    GGML_ASSERT(ggml_is_contiguous(tensor));
+
+    const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(tensor, /*assume_sync =*/ false);
+    GGML_ASSERT(split_state.n_segments == 1);
+
+    switch (split_state.axis) {
+        case GGML_BACKEND_SPLIT_AXIS_0:
+        case GGML_BACKEND_SPLIT_AXIS_1:
+        case GGML_BACKEND_SPLIT_AXIS_2: {
+            // Exploit that tensors are contiguous to splice it with simple tensors as "chunks".
+            const size_t chunk_size_full = tensor->nb[split_state.axis + 1];
+            GGML_ASSERT(offset % chunk_size_full == 0);
+            GGML_ASSERT(size   % chunk_size_full == 0);
+            const int64_t i_start =  offset        /chunk_size_full;
+            const int64_t i_stop  = (offset + size)/chunk_size_full;
+            size_t offset_j = 0;
+            for (size_t j = 0; j < n_backends; j++){
+                ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, j);
+                const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, j);
+                const size_t chunk_size_j = simple_tensor->nb[split_state.axis + 1];
+                ggml_backend_tensor_get_2d_async(simple_backend, simple_tensor, (char *) data + offset_j, offset, chunk_size_j,
+                    i_stop - i_start, chunk_size_j, chunk_size_full);
+                offset_j += chunk_size_j;
+            }
+            GGML_ASSERT(offset_j == chunk_size_full);
+        } break;
+        case GGML_BACKEND_SPLIT_AXIS_MIRRORED: {
+            // TODO other simple backend may be better
+            ggml_backend_t simple_backend = ggml_backend_meta_simple_backend(backend, 0);
+            const ggml_tensor * simple_tensor = ggml_backend_meta_buffer_simple_tensor(tensor, 0);
+            ggml_backend_tensor_get_async(simple_backend, simple_tensor, data, offset, size);
+        } break;
+        default: {
+            GGML_ABORT("fatal error");
+        }
+    }
+}
+
+static void ggml_backend_meta_synchronize(ggml_backend_t backend) {
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    for (size_t i = 0; i < n_backends; i++) {
+        ggml_backend_synchronize(ggml_backend_meta_simple_backend(backend, i));
+    }
+}
+
+static enum ggml_status ggml_backend_meta_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
+    GGML_ASSERT(cgraph->grads == nullptr);
+    const size_t n_backends = ggml_backend_meta_n_backends(backend);
+    ggml_backend_meta_context * backend_ctx = (ggml_backend_meta_context *) backend->context;
+
+    // If the previous cgraph had a defined UID it can be used to skip rebuilding the subgraphs per simple backend.
+    const bool needs_rebuild = (cgraph->uid == 0) || (cgraph->uid != backend_ctx->uid);
+
+    bool max_nnodes_raised = false;
+    if (cgraph->n_nodes > backend_ctx->max_nnodes) {
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            bcj.nodes.resize(cgraph->n_nodes);
+            bcj.cgraphs.resize(cgraph->n_nodes);
+        }
+        backend_ctx->max_nnodes = cgraph->n_nodes;
+        max_nnodes_raised = true;
+        assert(needs_rebuild);
+    }
+
+    if (needs_rebuild) {
+        size_t n_subgraphs  = 0;
+        size_t max_tmp_size = 0;
+
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+
+            for (int i = 0; i < cgraph->n_nodes; i++) {
+                ggml_tensor * node = cgraph->nodes[i];
+                if (node->view_src != nullptr && node->view_src->op == GGML_OP_NONE && ggml_backend_buffer_is_host(node->view_src->buffer)) {
+                    // FIXME s_copy_main is on the CPU and its view seems to be incorrectly added to the graph nodes.
+                    // For regular usage this doesn't matter since it's a noop but trying to call ggml_backend_meta_buffer_simple_tensor results in a crash.
+                    bcj.nodes[i] = node;
+                    continue;
+                }
+                bcj.nodes[i] = ggml_backend_meta_buffer_simple_tensor(node, j);
+                GGML_ASSERT(bcj.nodes[i]);
+            }
+        }
+
+        {
+            // For MoE models it may make sense to delay the AllReduce in order to reduce I/O:
+            auto get_i_delayed = [&](const int i) -> int {
+                int id = i; // i_delayed
+                int idr = i; // i_delayed return, last safe return value
+
+                ggml_tensor * node = cgraph->nodes[id];
+                int32_t n_used = ggml_node_get_use_count(cgraph, id);
+
+                // Skip MIRRORED nodes that don't consume node
+                auto skip_unrelated = [&]() {
+                    while (id + 1 < cgraph->n_nodes) {
+                        ggml_tensor * next = cgraph->nodes[id+1];
+                        if (ggml_backend_meta_get_split_state(next, false).axis != GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                            break;
+                        }
+                        bool safe = true;
+                        for (int s = 0; s < GGML_MAX_SRC; s++) {
+                            if (next->src[s] == nullptr) {
+                                continue;
+                            }
+                            if (next->src[s] == node) {
+                                safe = false;
+                                break;
+                            }
+                            if (ggml_backend_meta_get_split_state(next->src[s], false).axis != GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                                safe = false;
+                                break;
+                            }
+                        }
+                        if (!safe) {
+                            break;
+                        }
+                        id++;
+                    }
+                };
+
+                skip_unrelated();
+                if (id + 1 >= cgraph->n_nodes) {
+                    return idr;
+                }
+                {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op == GGML_OP_ADD_ID && next->src[0] == node &&
+                            ggml_backend_meta_get_split_state(next->src[1], false).axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL &&
+                            ggml_backend_meta_get_split_state(next->src[2], false).axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                        node = next;
+                        id++;
+                        idr = id;
+                        n_used = ggml_node_get_use_count(cgraph, id);
+                    }
+                }
+                // Chain of MULs with MIRRORED src[1]
+                while (true) {
+                    skip_unrelated();
+                    if (id + 1 >= cgraph->n_nodes) {
+                        return idr;
+                    }
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op == GGML_OP_MUL && next->src[0] == node &&
+                            ggml_backend_meta_get_split_state(next->src[1], false).axis == GGML_BACKEND_SPLIT_AXIS_MIRRORED) {
+                        node = next;
+                        id++;
+                        idr = id;
+                        n_used = ggml_node_get_use_count(cgraph, id);
+                    } else {
+                        break;
+                    }
+                }
+
+                if (n_used != node->ne[1] || id + 2*n_used-1 >= cgraph->n_nodes) {
+                    return idr;
+                }
+                for (int32_t k = 0; k < n_used; k++) {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_VIEW || next->view_src != node || next->view_offs != k*node->nb[1] ||
+                            next->ne[0] != node->ne[0] || next->ne[1] != node->ne[2] || next->nb[1] != node->nb[2] ||
+                            ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_ADD || next->src[0] != cgraph->nodes[id - (n_used-1)] ||
+                            next->src[1] != cgraph->nodes[id - (n_used-2)] || ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                for (int32_t k = 0; k < n_used - 2; k++) {
+                    ggml_tensor * next = cgraph->nodes[id+1];
+                    if (next->op != GGML_OP_ADD || next->src[0] != cgraph->nodes[id] ||
+                            next->src[1] != cgraph->nodes[id - (n_used-2)] || ggml_node_get_use_count(cgraph, id+1) != 1) {
+                        return idr;
+                    }
+                    id++;
+                }
+                idr = id;
+                return idr;
+            };
+
+            int i_start = 0;
+            for (int i = 0; i < cgraph->n_nodes; i++) {
+                ggml_tensor * node = cgraph->nodes[i];
+                if (node->view_src != nullptr && node->view_src->op == GGML_OP_NONE && ggml_backend_buffer_is_host(node->view_src->buffer)) {
+                    continue;
+                }
+                const ggml_backend_meta_split_state split_state = ggml_backend_meta_get_split_state(node, /*assume_sync =*/ false);
+                if (split_state.axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL) {
+                    max_tmp_size = std::max(max_tmp_size, ggml_nbytes(node));
+                }
+                const bool new_subgraph = i + 1 == cgraph->n_nodes || split_state.axis == GGML_BACKEND_SPLIT_AXIS_PARTIAL;
+                if (!new_subgraph) {
+                    continue;
+                }
+
+                const int i_delayed = get_i_delayed(i);
+
+                // If we can delay the AllReduce we need to consider the interaction with zero-sized tensor slices.
+                // A backend with such a slice would normally have valid data after participating in the AllReduce with a node that has
+                //     its compute flag disabled and thus gets its data zeroed out.
+                // If the AllReduce is delayed then the nodes until that point also need to have their compute flag disabled.
+                if (i_delayed > i) {
+                    for (size_t j = 0; j < n_backends; j++) {
+                        auto & bcj = backend_ctx->backend_configs[j];
+                        if ((bcj.nodes[i]->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) {
+                            for (int ii = i + 1; ii <= i_delayed; ii++) {
+                                bcj.nodes[ii]->flags &= ~GGML_TENSOR_FLAG_COMPUTE;
+                            }
+                        }
+                    }
+                }
+
+                i = i_delayed;
+
+                for (size_t j = 0; j < n_backends; j++) {
+                    auto & bcj = backend_ctx->backend_configs[j];
+                    bcj.cgraphs[n_subgraphs].offset = i_start;
+                }
+                n_subgraphs++;
+                i_start = i + 1;
+            }
+            GGML_ASSERT(i_start == cgraph->n_nodes);
+        }
+
+        backend_ctx->uid         = cgraph->uid;
+        backend_ctx->n_subgraphs = n_subgraphs;
+
+        if (max_tmp_size > backend_ctx->max_tmp_size) {
+            for (size_t j = 0; j < n_backends; j++) {
+                auto & bcj = backend_ctx->backend_configs[j];
+                for (size_t i = 0; i < backend_ctx->n_reduce_steps; i++) {
+                    bcj.bufs[i].reset(ggml_backend_alloc_buffer(bcj.backend, max_tmp_size));
+                }
+            }
+            backend_ctx->max_tmp_size = max_tmp_size;
+        }
+
+        if (max_nnodes_raised || n_subgraphs > backend_ctx->max_subgraphs) {
+            backend_ctx->max_subgraphs = std::max(backend_ctx->max_subgraphs, n_subgraphs);
+            const size_t n_nodes_per_device = 3 * backend_ctx->n_reduce_steps; // tmp + ADD (+zeroing) graph per step and device
+            const size_t n_cgraphs_per_device = 2 * backend_ctx->n_reduce_steps; // ADD ( + zeroing) graph per step and device
+            const size_t mem_per_device_graphs_main = backend_ctx->max_subgraphs*ggml_graph_overhead_custom(backend_ctx->max_nnodes, cgraph->grads);
+            const size_t mem_per_device_graphs_aux = n_cgraphs_per_device*backend_ctx->max_subgraphs*ggml_graph_overhead_custom(1, cgraph->grads);
+            const size_t mem_per_device_nodes_aux = n_nodes_per_device*backend_ctx->max_subgraphs*ggml_tensor_overhead();
+            ggml_init_params params = {
+                /*.mem_size   =*/ n_backends * (mem_per_device_graphs_main + mem_per_device_graphs_aux + mem_per_device_nodes_aux),
+                /*.mem_buffer =*/ nullptr,
+                /*.no_alloc   =*/ true,
+            };
+            backend_ctx->ctx.reset(ggml_init(params));
+            for (size_t j = 0; j < n_backends; j++) {
+                auto & bcj = backend_ctx->backend_configs[j];
+                for (size_t i = 0; i < n_subgraphs; i++) {
+                    bcj.cgraphs[i].cgraph_main = ggml_new_graph_custom(backend_ctx->ctx.get(), cgraph->n_nodes, /*grads =*/ false);
+                }
+            }
+            backend_ctx->cgraphs_aux.resize(n_backends*n_cgraphs_per_device*backend_ctx->max_subgraphs);
+            for (size_t k = 0; k < backend_ctx->cgraphs_aux.size(); k++) {
+                backend_ctx->cgraphs_aux[k] = ggml_new_graph_custom(backend_ctx->ctx.get(), 1, cgraph->grads);
+            }
+            backend_ctx->nodes_aux.resize(n_backends*n_nodes_per_device*backend_ctx->max_subgraphs);
+            for (size_t k = 0; k < backend_ctx->nodes_aux.size(); k++) {
+                backend_ctx->nodes_aux[k] = ggml_new_tensor_1d(backend_ctx->ctx.get(), GGML_TYPE_F32, 1);
+            }
+        }
+
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            for (size_t i_graph = 0; i_graph < n_subgraphs; i_graph++) {
+                ggml_cgraph * cgraph_ij = bcj.cgraphs[i_graph].cgraph_main;
+                const size_t i_node_start = bcj.cgraphs[i_graph].offset;
+                const size_t i_node_stop = i_graph + 1 < n_subgraphs ? bcj.cgraphs[i_graph + 1].offset : cgraph->n_nodes;
+                cgraph_ij->n_nodes = i_node_stop - i_node_start;
+                ggml_hash_set_reset(&cgraph_ij->visited_hash_set);
+                for (size_t i_node = i_node_start; i_node < i_node_stop; i_node++) {
+                    ggml_tensor * node_ij = bcj.nodes[i_node];
+                    cgraph_ij->nodes[i_node - i_node_start] = node_ij;
+                    const size_t hash_pos_orig = ggml_hash_find(&cgraph->visited_hash_set, cgraph->nodes[i_node]);
+                    const size_t hash_pos_ij = ggml_hash_insert(&cgraph_ij->visited_hash_set, node_ij);
+                    cgraph_ij->use_counts[hash_pos_ij] = cgraph->use_counts[hash_pos_orig];
+                }
+                cgraph_ij->uid = ggml_graph_next_uid();
+            }
+        }
+    }
+
+    size_t iga = 0; // i graph aux
+    size_t ina = 0; // i node aux
+
+    auto get_node_aux = [&](ggml_tensor * t) -> ggml_tensor * {
+        ggml_tensor * ret = backend_ctx->nodes_aux[ina++];
+        memset(ret, 0, sizeof(ggml_tensor));
+        ret->op   = GGML_OP_NONE;
+        ret->type = t->type;
+        for (size_t k = 0; k < GGML_MAX_DIMS; k++) {
+            ret->ne[k] = t->ne[k];
+            ret->nb[k] = t->nb[k];
+        }
+        return ret;
+    };
+    auto set_tmp_data = [&](ggml_tensor * tensor, const size_t j, const size_t i_buf) {
+        auto & bcj = backend_ctx->backend_configs[j];
+        ggml_backend_buffer_ptr & buf_ptr = bcj.bufs[i_buf];
+        if (!buf_ptr || ggml_backend_buffer_get_size(buf_ptr.get()) < backend_ctx->max_tmp_size) {
+            buf_ptr.reset(ggml_backend_alloc_buffer(bcj.backend, backend_ctx->max_tmp_size));
+        }
+        tensor->buffer = buf_ptr.get();
+        tensor->data   = ggml_backend_buffer_get_base(buf_ptr.get());
+    };
+    // FIXME usage_counts
+    auto get_cgraph_aux = [&]() -> ggml_cgraph * {
+        ggml_cgraph * ret = backend_ctx->cgraphs_aux[iga++];
+        return ret;
+    };
+
+    // Preferentially use backend-specific allreduce_tensor_async (e.g. NCCL for CUDA), use a generic fallback if unavailable:
+    auto allreduce_fallback = [&](size_t i) -> ggml_status {
+        std::vector<ggml_cgraph *> step_cgraphs(n_backends, nullptr);
+
+        // Zero out nodes that were disabled due to having a zero-sized slice:
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            ggml_tensor * node = bcj.cgraphs[i].cgraph_main->nodes[bcj.cgraphs[i].cgraph_main->n_nodes - 1];
+            if (node->flags & GGML_TENSOR_FLAG_COMPUTE) {
+                continue;
+            }
+            ggml_tensor * node_zero = get_node_aux(node);
+            node_zero->op = GGML_OP_SCALE; // FIXME 0.0f * NaN == NaN
+            node_zero->src[0] = node;
+            ggml_set_op_params_f32(node_zero, 0, 0.0f);
+            node_zero->data = node->data;
+            node_zero->flags |= GGML_TENSOR_FLAG_COMPUTE;
+
+            step_cgraphs[j] = get_cgraph_aux();
+            step_cgraphs[j]->nodes[0] = node_zero;
+            step_cgraphs[j]->n_nodes = 1;
+            const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, step_cgraphs[j]);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+        }
+        std::fill(step_cgraphs.begin(), step_cgraphs.end(), nullptr);
+
+        auto push_data = [&](const size_t j_src, const size_t j_dst, const size_t i_buf) {
+            assert(step_cgraphs[j_dst] == nullptr);
+            auto & bcj_src = backend_ctx->backend_configs[j_src];
+            auto & bcj_dst = backend_ctx->backend_configs[j_dst];
+
+            ggml_tensor * node_src = bcj_src.cgraphs[i].cgraph_main->nodes[bcj_src.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_tensor * node_dst = bcj_dst.cgraphs[i].cgraph_main->nodes[bcj_dst.cgraphs[i].cgraph_main->n_nodes - 1];
+            GGML_ASSERT(ggml_is_contiguous(node_src));
+            GGML_ASSERT(ggml_is_contiguous(node_dst));
+
+            ggml_tensor * node_tmp = get_node_aux(node_dst);
+            set_tmp_data(node_tmp, j_dst, i_buf);
+
+            ggml_backend_tensor_copy_async(bcj_src.backend, bcj_dst.backend, node_src, node_tmp);
+
+            ggml_tensor * node_red = get_node_aux(node_dst);
+            node_red->view_src = node_dst->view_src == nullptr ? node_dst : node_dst->view_src;
+            node_red->view_offs = node_dst->view_offs;
+            node_red->op = GGML_OP_ADD;
+            node_red->src[0] = node_dst;
+            node_red->src[1] = node_tmp;
+            node_red->flags |= GGML_TENSOR_FLAG_COMPUTE;
+            ggml_backend_view_init(node_red);
+
+            ggml_cgraph * cgraph_aux = get_cgraph_aux();
+            cgraph_aux->nodes[0] = node_red;
+            cgraph_aux->n_nodes = 1;
+            step_cgraphs[j_dst] = cgraph_aux;
+        };
+
+        size_t offset_j = n_backends/2;
+        while ((offset_j & (offset_j - 1)) != 0) {
+            offset_j--;
+        }
+        const size_t offset_j_max = offset_j;
+        size_t i_buf = 0;
+
+        // If n_backends is not a power of 2, fold in the excess prior to butterfly reduction:
+        for (size_t j_src = 2*offset_j_max; j_src < n_backends; j_src++) {
+            const size_t j_dst = j_src - 2*offset_j_max;
+            push_data(j_src, j_dst, i_buf);
+            const ggml_status status = ggml_backend_graph_compute_async(backend_ctx->backend_configs[j_dst].backend, step_cgraphs[j_dst]);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+            i_buf = 1;
+        }
+
+        // Butterfly reduction:
+        for (; offset_j >= 1; offset_j /= 2) {
+            std::fill(step_cgraphs.begin(), step_cgraphs.end(), nullptr);
+
+            for (size_t j = 0; j < 2*offset_j_max; j++) {
+                const size_t j_other = j ^ offset_j;
+                if (j_other >= n_backends) {
+                    continue;
+                }
+                push_data(j, j_other, i_buf);
+            }
+
+            for (size_t j = 0; j < 2*offset_j_max; j++) {
+                if (step_cgraphs[j] == nullptr) {
+                    continue;
+                }
+                auto & bcj = backend_ctx->backend_configs[j];
+                const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, step_cgraphs[j]);
+                if (status != GGML_STATUS_SUCCESS) {
+                    return status;
+                }
+            }
+            i_buf++;
+        }
+        assert(i_buf == backend_ctx->n_reduce_steps);
+
+        // If n_backends is not a power of 2, copy back the reduced tensors to the excess:
+        for (size_t j = 2*offset_j_max; j < n_backends; j++) {
+            auto & bcj_src = backend_ctx->backend_configs[j - 2*offset_j_max];
+            auto & bcj_dst = backend_ctx->backend_configs[j];
+
+            ggml_tensor * node_src = bcj_src.cgraphs[i].cgraph_main->nodes[bcj_src.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_tensor * node_dst = bcj_dst.cgraphs[i].cgraph_main->nodes[bcj_dst.cgraphs[i].cgraph_main->n_nodes - 1];
+            ggml_backend_tensor_copy_async(bcj_src.backend, bcj_dst.backend, node_src, node_dst);
+        }
+
+        return GGML_STATUS_SUCCESS;
+    };
+
+
+    for (size_t i = 0; i < backend_ctx->n_subgraphs; i++) {
+        for (size_t j = 0; j < n_backends; j++) {
+            auto & bcj = backend_ctx->backend_configs[j];
+            const ggml_status status = ggml_backend_graph_compute_async(bcj.backend, bcj.cgraphs[i].cgraph_main);
+            if (status != GGML_STATUS_SUCCESS) {
+                return status;
+            }
+        }
+
+        if (n_backends > 1 && i < backend_ctx->n_subgraphs - 1) {
+            bool backend_allreduce_success = false;
+            if (backend_ctx->comm_ctx) {
+                std::vector<ggml_tensor *> nodes;
+                nodes.reserve(n_backends);
+                for (size_t j = 0; j < n_backends; j++) {
+                    auto & bcj = backend_ctx->backend_configs[j];
+                    ggml_cgraph * cgraph_ij = bcj.cgraphs[i].cgraph_main;
+                    nodes.push_back(cgraph_ij->nodes[cgraph_ij->n_nodes-1]);
+                }
+                backend_allreduce_success = backend_ctx->comm_allreduce(backend_ctx->comm_ctx, nodes.data());
+            }
+
+            if (!backend_allreduce_success) {
+                const ggml_status status = allreduce_fallback(i);
+                if (status != GGML_STATUS_SUCCESS) {
+                    return status;
+                }
+            }
+        }
+    }
+    return GGML_STATUS_SUCCESS;
+}
+
+static const ggml_backend_i ggml_backend_meta_i = {
+    /* .get_name                = */ ggml_backend_meta_get_name,
+    /* .free                    = */ ggml_backend_meta_free,
+    /* .set_tensor_async        = */ ggml_backend_meta_set_tensor_async,
+    /* .get_tensor_async        = */ ggml_backend_meta_get_tensor_async,
+    /* .set_tensor_2d_async     = */ nullptr,
+    /* .get_tensor_2d_async     = */ nullptr,
+    /* .cpy_tensor_async        = */ nullptr,
+    /* .synchronize             = */ ggml_backend_meta_synchronize,
+    /* .graph_plan_create       = */ nullptr,
+    /* .graph_plan_free         = */ nullptr,
+    /* .graph_plan_update       = */ nullptr,
+    /* .graph_plan_compute      = */ nullptr,
+    /* .graph_compute           = */ ggml_backend_meta_graph_compute,
+    /* .event_record            = */ nullptr,
+    /* .event_wait              = */ nullptr,
+    /* .graph_optimize          = */ nullptr,
+};
+
+bool ggml_backend_is_meta(ggml_backend_t backend) {
+    return backend != nullptr && backend->iface.get_name == ggml_backend_meta_i.get_name;
+}
+
+static ggml_backend_t ggml_backend_meta_device_init_backend(ggml_backend_dev_t dev, const char * params) {
+    ggml_backend_meta_context * backend_ctx = new ggml_backend_meta_context(dev, params);
+
+    ggml_backend_t backend = new struct ggml_backend;
+    backend->guid    = ggml_backend_meta_guid();
+    backend->iface   = ggml_backend_meta_i;
+    backend->device  = dev;
+    backend->context = backend_ctx;
+    return backend;
+}
+
+size_t ggml_backend_meta_n_backends(ggml_backend_t meta_backend) {
+    GGML_ASSERT(ggml_backend_is_meta(meta_backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) meta_backend->context;
+    return backend_ctx->backend_configs.size();
+}
+
+ggml_backend_t ggml_backend_meta_simple_backend(ggml_backend_t meta_backend, size_t index) {
+    GGML_ASSERT(ggml_backend_is_meta(meta_backend));
+    const ggml_backend_meta_context * backend_ctx = (const ggml_backend_meta_context *) meta_backend->context;
+    return backend_ctx->backend_configs[index].backend;
+}
+
diff --git a/ggml/src/ggml-backend-reg.cpp b/ggml/src/ggml-backend-reg.cpp
index 058710921..8165ae2c8 100644
--- a/ggml/src/ggml-backend-reg.cpp
+++ b/ggml/src/ggml-backend-reg.cpp
@@ -181,6 +181,12 @@ struct ggml_backend_registry {
             return;
         }
 
+        for (auto & entry : backends) {
+            if (entry.reg == reg) {
+                return;
+            }
+        }
+
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: registered backend %s (%zu devices)\n",
             __func__, ggml_backend_reg_name(reg), ggml_backend_reg_dev_count(reg));
@@ -192,6 +198,12 @@ struct ggml_backend_registry {
     }
 
     void register_device(ggml_backend_dev_t device) {
+        for (auto & dev : devices) {
+            if (dev == device) {
+                return;
+            }
+        }
+
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: registered device %s (%s)\n", __func__, ggml_backend_dev_name(device), ggml_backend_dev_description(device));
 #endif
diff --git a/ggml/src/ggml-backend.cpp b/ggml/src/ggml-backend.cpp
index 22c656996..d9f8aaec5 100644
--- a/ggml/src/ggml-backend.cpp
+++ b/ggml/src/ggml-backend.cpp
@@ -123,7 +123,7 @@ size_t ggml_backend_buffer_get_size(ggml_backend_buffer_t buffer) {
 void * ggml_backend_buffer_get_base(ggml_backend_buffer_t buffer) {
     GGML_ASSERT(buffer);
     // get_base is optional if the buffer is zero-sized
-    if (buffer->size == 0) {
+    if (!ggml_backend_buffer_is_meta(buffer) && buffer->size == 0) {
         return NULL;
     }
 
@@ -279,15 +279,57 @@ void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_ten
     }
 }
 
+void ggml_backend_tensor_set_2d_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(backend);
+    GGML_ASSERT(tensor);
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+
+    if (n_copies <= 1 || backend->iface.set_tensor_2d_async == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_set_async(backend, tensor, (const char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+    backend->iface.set_tensor_2d_async(backend, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
+void ggml_backend_tensor_get_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(backend);
+    GGML_ASSERT(tensor);
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+
+    if (n_copies <= 1 || backend->iface.set_tensor_2d_async == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_get_async(backend, tensor, (char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+    backend->iface.get_tensor_2d_async(backend, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
 void ggml_backend_tensor_set(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
 
     if (size == 0) {
         return;
     }
 
-    GGML_ASSERT(buf != NULL && "tensor buffer not set");
     GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
     GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
 
@@ -297,18 +339,62 @@ void ggml_backend_tensor_set(struct ggml_tensor * tensor, const void * data, siz
 void ggml_backend_tensor_get(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
 
     if (size == 0) {
         return;
     }
 
-    GGML_ASSERT(buf != NULL && "tensor buffer not set");
     GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
     GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor read out of bounds");
 
     buf->iface.get_tensor(buf, tensor, data, offset, size);
 }
 
+void ggml_backend_tensor_set_2d(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(tensor);
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
+
+    if (n_copies <= 1 || buf->iface.set_tensor_2d == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_set(tensor, (const char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor write out of bounds");
+
+    buf->iface.set_tensor_2d(buf, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
+void ggml_backend_tensor_get_2d(const struct ggml_tensor * tensor, void * data, size_t offset, size_t size,
+            size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    GGML_ASSERT(tensor);
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+    GGML_ASSERT(buf != NULL && "tensor buffer not set");
+
+    if (n_copies <= 1 || buf->iface.set_tensor_2d == NULL) {
+        for (size_t i = 0; i < n_copies; i++) {
+            ggml_backend_tensor_get(tensor, (char *) data + i*stride_data, offset + i*stride_tensor, size);
+        }
+        return;
+    }
+    if (size == 0) {
+        return;
+    }
+
+    GGML_ASSERT(tensor->data != NULL && "tensor not allocated");
+    GGML_ASSERT(offset + (n_copies-1)*stride_tensor + size <= ggml_nbytes(tensor) && "tensor read out of bounds");
+
+    buf->iface.get_tensor_2d(buf, tensor, data, offset, size, n_copies, stride_tensor, stride_data);
+}
+
 void ggml_backend_tensor_memset(struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
     GGML_ASSERT(tensor);
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
@@ -388,7 +474,7 @@ ggml_backend_dev_t ggml_backend_get_device(ggml_backend_t backend) {
 
 // backend copy
 
-void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst) {
+void ggml_backend_tensor_copy(const struct ggml_tensor * src, struct ggml_tensor * dst) {
     GGML_ASSERT(ggml_are_same_layout(src, dst) && "cannot copy tensors with different layouts");
 
     if (src == dst) {
@@ -402,7 +488,7 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst
     } else if (!ggml_backend_buffer_copy_tensor(src, dst)) {
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: warning: slow copy from %s to %s\n", __func__, ggml_backend_buffer_name(src->buffer), ggml_backend_buffer_name(dst->buffer));
-#endif
+#endif // NDEBUG
         size_t nbytes = ggml_nbytes(src);
         void * data = malloc(nbytes);
         ggml_backend_tensor_get(src, data, 0, nbytes);
@@ -411,7 +497,7 @@ void ggml_backend_tensor_copy(struct ggml_tensor * src, struct ggml_tensor * dst
     }
 }
 
-void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, struct ggml_tensor * src, struct ggml_tensor * dst) {
+void ggml_backend_tensor_copy_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const struct ggml_tensor * src, struct ggml_tensor * dst) {
     GGML_ASSERT(ggml_are_same_layout(src, dst) && "cannot copy tensors with different layouts");
 
     if (src == dst) {
@@ -500,6 +586,7 @@ enum ggml_backend_dev_type ggml_backend_dev_type(ggml_backend_dev_t device) {
 }
 
 void ggml_backend_dev_get_props(ggml_backend_dev_t device, struct ggml_backend_dev_props * props) {
+    GGML_ASSERT(device);
     memset(props, 0, sizeof(*props));
     device->iface.get_props(device, props);
 }
@@ -610,6 +697,8 @@ static const struct ggml_backend_buffer_i ggml_backend_multi_buffer_i = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ NULL,
     /* .get_tensor      = */ NULL,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_multi_buffer_clear,
     /* .reset           = */ NULL,
@@ -941,6 +1030,8 @@ void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgra
         GGML_ABORT("%s: failed to initialize context\n", __func__);
     }
 
+    graph->uid = ggml_graph_next_uid();
+
     // pass 1: assign backends to ops with pre-allocated inputs
     for (int i = 0; i < graph->n_leafs; i++) {
         struct ggml_tensor * leaf = graph->leafs[i];
@@ -1388,6 +1479,11 @@ void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgra
         assert(graph_copy->size > graph_copy->n_leafs);
         graph_copy->leafs[graph_copy->n_leafs++] = leaf;
     }
+
+    // set ids for all splits
+    for (int i = 0; i < sched->n_splits; ++i) {
+        sched->splits[i].graph.uid = ggml_graph_next_uid();
+    }
 }
 
 static bool ggml_backend_sched_alloc_splits(ggml_backend_sched_t sched) {
@@ -1899,8 +1995,9 @@ enum ggml_status ggml_backend_tensor_alloc(ggml_backend_buffer_t buffer, struct
     GGML_ASSERT(tensor->data == NULL);
     GGML_ASSERT(tensor->view_src == NULL);
     GGML_ASSERT(addr >= ggml_backend_buffer_get_base(buffer));
-    GGML_ASSERT((char *)addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <=
-                (char *)ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer));
+    GGML_ASSERT(ggml_backend_buffer_is_meta(buffer) ||
+        (char *) addr + ggml_backend_buffer_get_alloc_size(buffer, tensor) <=
+        (char *) ggml_backend_buffer_get_base(buffer) + ggml_backend_buffer_get_size(buffer));
 
     tensor->buffer = buffer;
     tensor->data = addr;
@@ -2174,6 +2271,8 @@ static const struct ggml_backend_buffer_i ggml_backend_cpu_buffer_i = {
     /* .memset_tensor   = */ ggml_backend_cpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cpu_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cpu_buffer_clear,
     /* .reset           = */ NULL,
@@ -2186,6 +2285,8 @@ static const struct ggml_backend_buffer_i ggml_backend_cpu_buffer_from_ptr_i = {
     /* .memset_tensor   = */ ggml_backend_cpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cpu_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cpu_buffer_clear,
     /* .reset           = */ NULL,
diff --git a/ggml/src/ggml-blas/ggml-blas.cpp b/ggml/src/ggml-blas/ggml-blas.cpp
index e7a1763b5..b4c735267 100644
--- a/ggml/src/ggml-blas/ggml-blas.cpp
+++ b/ggml/src/ggml-blas/ggml-blas.cpp
@@ -263,6 +263,8 @@ static struct ggml_backend_i blas_backend_i = {
     /* .free                    = */ ggml_backend_blas_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-cann/aclnn_ops.cpp b/ggml/src/ggml-cann/aclnn_ops.cpp
index a950475fc..2dc0f4091 100644
--- a/ggml/src/ggml-cann/aclnn_ops.cpp
+++ b/ggml/src/ggml-cann/aclnn_ops.cpp
@@ -25,6 +25,7 @@
 #include "ggml-impl.h"
 #include "ggml.h"
 
+
 #include <aclnnop/aclnn_add.h>
 #include <aclnnop/aclnn_add_rms_norm.h>
 #include <aclnnop/aclnn_addcdiv.h>
@@ -45,7 +46,9 @@
 #include <aclnnop/aclnn_fused_infer_attention_score_v2.h>
 #include <aclnnop/aclnn_ger.h>
 #include <aclnnop/aclnn_group_norm.h>
+#include <aclnnop/aclnn_gather_v2.h>
 #include <aclnnop/aclnn_grouped_matmul_v3.h>
+#include <aclnnop/aclnn_scatter.h>
 #include <aclnnop/aclnn_gt_scalar.h>
 #include <aclnnop/aclnn_im2col.h>
 #include <aclnnop/aclnn_index_copy.h>
@@ -62,6 +65,7 @@
 #include <aclnnop/aclnn_permute.h>
 #include <aclnnop/aclnn_pow.h>
 #include <aclnnop/aclnn_pow_tensor_tensor.h>
+#include <aclnnop/aclnn_recurrent_gated_delta_rule.h>
 #include <aclnnop/aclnn_reduce_sum.h>
 #include <aclnnop/aclnn_reflection_pad1d.h>
 #include <aclnnop/aclnn_repeat.h>
@@ -69,11 +73,15 @@
 #include <aclnnop/aclnn_rms_norm.h>
 #include <aclnnop/aclnn_roll.h>
 #include <aclnnop/aclnn_softmax.h>
+#include <aclnnop/aclnn_softmax_cross_entropy_with_logits.h>
 #include <aclnnop/aclnn_sub.h>
 #include <aclnnop/aclnn_sum.h>
 #include <aclnnop/aclnn_threshold.h>
 #include <aclnnop/aclnn_tril.h>
+#include <aclnnop/aclnn_triangular_solve.h>
 #include <aclnnop/aclnn_triu.h>
+#include <aclnnop/aclnn_logical_not.h>
+#include <aclnnop/aclnn_masked_fill_scalar.h>
 #include <aclnnop/aclnn_upsample_nearest_2d.h>
 #include <aclnnop/aclnn_weight_quant_batch_matmul_v2.h>
 #include <aclnnop/aclnn_zero.h>
@@ -151,6 +159,107 @@ void ggml_cann_op_unary_gated(std::function<void(ggml_backend_cann_context &, ac
     GGML_CANN_CALL_ACLNN_OP(ctx, InplaceMul, acl_dst.get(), acl_src1.get());
 }
 
+// Fused SwiGLU using aclnnSwiGlu: splits input along innermost dim, applies
+// SiLU to left half, multiplies by right half.
+//
+// Falls back to the generic two-kernel path when src[1] != nullptr (two
+// independent halves) or swapped != 0 (reversed activation order), as
+// aclnnSwiGlu only handles the single interleaved tensor in standard order.
+//
+// CANN tiling for SwiGlu requires (storageShapeDim + viewDims) to be even.
+// aclCreateTensor always uses storageShapeDim=1, so viewDims must be odd.
+// We use a 3D view (1+3=4, even) to satisfy this constraint while preserving
+// correct split semantics along the innermost (ne[0]) dimension.
+void ggml_cann_swiglu(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    auto silu_fn = [](ggml_backend_cann_context & ctx, aclTensor * acl_src, aclTensor * acl_dst) {
+        GGML_CANN_CALL_ACLNN_OP(ctx, Silu, acl_src, acl_dst);
+    };
+
+    const int32_t swapped = ggml_get_op_params_i32(dst, 1);
+    if (dst->src[1] != nullptr || swapped != 0) {
+        ggml_cann_op_unary_gated(silu_fn, ctx, dst);
+        return;
+    }
+
+    // aclnnSwiGlu requires the split dim (src->ne[0]) to be even; fall back otherwise.
+    if (dst->src[0]->ne[0] % 2 != 0) {
+        ggml_cann_op_unary_gated(silu_fn, ctx, dst);
+        return;
+    }
+
+    ggml_tensor * src0 = dst->src[0];
+    size_t elem_size = ggml_element_size(src0);
+
+    // src0 GGML: [2*ne0, ne1, ne2, ne3] → 3D view [2*ne0, ne1, ne2*ne3]
+    // CANN reversed: [ne2*ne3, ne1, 2*ne0], split along CANN dim 2 (last).
+    int64_t ne0_x2   = src0->ne[0];
+    int64_t ne1      = src0->ne[1];
+    int64_t ne23     = src0->ne[2] * src0->ne[3];
+    int64_t src3d_ne[] = { ne0_x2, ne1, ne23 };
+    size_t  src3d_nb[] = { (size_t)src0->nb[0], (size_t)src0->nb[1], (size_t)src0->nb[2] };
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src0->data, ggml_cann_type_mapping(src0->type),
+                                                     elem_size, src3d_ne, src3d_nb, 3);
+
+    // dst GGML: [ne0, ne1, ne2, ne3] → 3D view [ne0, ne1, ne2*ne3]
+    int64_t ne0      = dst->ne[0];
+    int64_t dst3d_ne[] = { ne0, ne1, ne23 };
+    size_t  dst3d_nb[] = { (size_t)dst->nb[0], (size_t)dst->nb[1], (size_t)dst->nb[2] };
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst->data, ggml_cann_type_mapping(dst->type),
+                                                     elem_size, dst3d_ne, dst3d_nb, 3);
+
+    // CANN tensor [ne23, ne1, 2*ne0]: split along CANN dim 2 (last) = 2*ne0.
+    GGML_CANN_CALL_ACLNN_OP(ctx, SwiGlu, acl_src.get(), (int64_t)2, acl_dst.get());
+}
+
+// Fused GeGLU using aclnnGeGluV3: splits input along ne[0] (CANN last dim),
+// activates the LEFT half with GELU, multiplies by right half.
+// approximate: 0=tanh, 1=none(erf). activateLeft=true matches GGML convention.
+// outGelu is a required-but-discard output buffer.
+//
+// Falls back to the generic two-kernel path when src[1] != nullptr (two
+// independent halves) or swapped != 0 (reversed activation order), as
+// aclnnGeGluV3 only handles the single interleaved tensor in standard order.
+void ggml_cann_geglu(ggml_backend_cann_context & ctx, ggml_tensor * dst, int64_t approximate) {
+    auto gelu_fn = [](ggml_backend_cann_context & ctx, aclTensor * acl_src, aclTensor * acl_dst) {
+        GGML_CANN_CALL_ACLNN_OP(ctx, Gelu, acl_src, acl_dst);
+    };
+
+    const int32_t swapped = ggml_get_op_params_i32(dst, 1);
+    if (dst->src[1] != nullptr || swapped != 0) {
+        ggml_cann_op_unary_gated(gelu_fn, ctx, dst);
+        return;
+    }
+
+    // aclnnGeGluV3 requires the split dim (src->ne[0]) to be even; fall back otherwise.
+    if (dst->src[0]->ne[0] % 2 != 0) {
+        ggml_cann_op_unary_gated(gelu_fn, ctx, dst);
+        return;
+    }
+
+    ggml_tensor * src0 = dst->src[0];
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src0);
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
+
+    // Allocate a temporary buffer for the required outGelu output (same shape as dst).
+    // Build contiguous strides since the pool allocation is a fresh buffer.
+    size_t  elem_size    = ggml_element_size(dst);
+    int64_t ne[GGML_MAX_DIMS] = { dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3] };
+    size_t  nb[GGML_MAX_DIMS];
+    nb[0] = elem_size;
+    for (int i = 1; i < GGML_MAX_DIMS; i++) {
+        nb[i] = nb[i - 1] * ne[i - 1];
+    }
+    size_t gelu_out_size = nb[GGML_MAX_DIMS - 1] * ne[GGML_MAX_DIMS - 1];
+    ggml_cann_pool_alloc gelu_out_alloc(ctx.pool(), gelu_out_size);
+
+    acl_tensor_ptr acl_gelu_out = ggml_cann_create_tensor(
+        gelu_out_alloc.get(), ggml_cann_type_mapping(dst->type), elem_size, ne, nb, GGML_MAX_DIMS);
+    // V3 adds activateLeft param; true → Gelu(left)*right, matching GGML convention.
+    // GGML dim 0 → CANN last dim (index GGML_MAX_DIMS-1 = 3 for 4D tensor).
+    GGML_CANN_CALL_ACLNN_OP(ctx, GeGluV3, acl_src.get(), (int64_t)(GGML_MAX_DIMS - 1), approximate, true,
+                             acl_dst.get(), acl_gelu_out.get());
+}
+
 /**
  * @brief Repeats elements of a tensor along each dimension according to the
  * specified repeat array.
@@ -445,28 +554,33 @@ void ggml_cann_l2_norm(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_cann_pool_alloc temp_buffer_allocator(ctx.pool(), n_bytes);
     void *               buffer = temp_buffer_allocator.get();
 
-    int64_t div_ne[] = { 1, src->ne[1], src->ne[2], src->ne[3] };
-    size_t  div_nb[GGML_MAX_DIMS];
-    div_nb[0] = sizeof(float);
+    int64_t norm_ne[] = { 1, src->ne[1], src->ne[2], src->ne[3] };
+    size_t  norm_nb[GGML_MAX_DIMS];
+    norm_nb[0] = sizeof(float);
     for (int i = 1; i < GGML_MAX_DIMS; ++i) {
-        div_nb[i] = div_nb[i - 1] * div_ne[i - 1];
+        norm_nb[i] = norm_nb[i - 1] * norm_ne[i - 1];
     }
-    acl_tensor_ptr acl_div = ggml_cann_create_tensor(buffer, ACL_FLOAT, type_size, div_ne, div_nb, GGML_MAX_DIMS);
+    acl_tensor_ptr acl_norm = ggml_cann_create_tensor(buffer, ACL_FLOAT, sizeof(float), norm_ne, norm_nb, GGML_MAX_DIMS);
 
     std::vector<int64_t> norm_dims  = { 3 };
     acl_int_array_ptr    dims_array = ggml_cann_create_int_array(norm_dims.data(), norm_dims.size());
 
     float          p_value  = 2.0f;
     acl_scalar_ptr p_scalar = ggml_cann_create_scalar(&p_value, aclDataType::ACL_FLOAT);
-    GGML_CANN_CALL_ACLNN_OP(ctx, Norm, acl_src.get(), p_scalar.get(), dims_array.get(), true, acl_div.get());
+    GGML_CANN_CALL_ACLNN_OP(ctx, Norm, acl_src.get(), p_scalar.get(), dims_array.get(), true, acl_norm.get());
+
+    ggml_cann_pool_alloc clamp_buffer_allocator(ctx.pool());
+    acl_tensor_ptr       acl_clamped;
 
-    // Clamp norm to at least eps: scale = 1/fmaxf(norm, eps)
-    acl_scalar_ptr acl_min = ggml_cann_create_scalar(&eps, aclDataType::ACL_FLOAT);
-    float          flt_max = FLT_MAX;
-    acl_scalar_ptr acl_max = ggml_cann_create_scalar(&flt_max, aclDataType::ACL_FLOAT);
-    GGML_CANN_CALL_ACLNN_OP(ctx, Clamp, acl_div.get(), acl_min.get(), acl_max.get(), acl_div.get());
+    if (eps > 0.0f) {
+        void *         clamp_buf  = clamp_buffer_allocator.alloc(n_bytes);
+        acl_clamped               = ggml_cann_create_tensor(clamp_buf, ACL_FLOAT, sizeof(float), norm_ne, norm_nb, GGML_MAX_DIMS);
+        acl_scalar_ptr eps_scalar = ggml_cann_create_scalar(&eps, aclDataType::ACL_FLOAT);
+        GGML_CANN_CALL_ACLNN_OP(ctx, ClampMin, acl_norm.get(), eps_scalar.get(), acl_clamped.get());
+    }
 
-    GGML_CANN_CALL_ACLNN_OP(ctx, Div, acl_src.get(), acl_div.get(), acl_dst.get());
+    aclTensor * acl_div_input = acl_clamped ? acl_clamped.get() : acl_norm.get();
+    GGML_CANN_CALL_ACLNN_OP(ctx, Div, acl_src.get(), acl_div_input, acl_dst.get());
 }
 
 void ggml_cann_cross_entropy_loss(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
@@ -482,56 +596,30 @@ void ggml_cann_cross_entropy_loss(ggml_backend_cann_context & ctx, ggml_tensor *
     logits_nb[1]              = logits_nb[0] * logits_ne[0];
     acl_tensor_ptr acl_logits = ggml_cann_create_tensor(src0->data, ACL_FLOAT, sizeof(float), logits_ne, logits_nb, 2);
 
-    size_t               log_softmax_type_size = sizeof(float);
-    int64_t              log_softmax_n_bytes   = nr * nc * log_softmax_type_size;
-    ggml_cann_pool_alloc log_softmax_allocator(ctx.pool(), log_softmax_n_bytes);
-    void *               log_softmax_buffer = log_softmax_allocator.get();
-
-    int64_t log_softmax_ne[] = { nc, nr };
-    size_t  log_softmax_nb[2];
-    log_softmax_nb[0]              = log_softmax_type_size;
-    log_softmax_nb[1]              = log_softmax_nb[0] * log_softmax_ne[0];
-    acl_tensor_ptr acl_log_softmax = ggml_cann_create_tensor(log_softmax_buffer, ACL_FLOAT, log_softmax_type_size,
-                                                             log_softmax_ne, log_softmax_nb, 2);
-
-    GGML_CANN_CALL_ACLNN_OP(ctx, LogSoftmax, acl_logits.get(), 1, acl_log_softmax.get());
-
     int64_t labels_ne[] = { nc, nr };
     size_t  labels_nb[2];
     labels_nb[0]              = ggml_type_size(src1->type);
     labels_nb[1]              = labels_nb[0] * labels_ne[0];
     acl_tensor_ptr acl_labels = ggml_cann_create_tensor(src1->data, ACL_FLOAT, sizeof(float), labels_ne, labels_nb, 2);
 
-    size_t               mul_type_size = sizeof(float);
-    int64_t              mul_n_bytes   = nr * nc * mul_type_size;
-    ggml_cann_pool_alloc mul_allocator(ctx.pool(), mul_n_bytes);
-    void *               mul_buffer = mul_allocator.get();
-
-    int64_t mul_ne[] = { nc, nr };
-    size_t  mul_nb[2];
-    mul_nb[0]                     = mul_type_size;
-    mul_nb[1]                     = mul_nb[0] * mul_ne[0];
-    acl_tensor_ptr acl_mul_result = ggml_cann_create_tensor(mul_buffer, ACL_FLOAT, mul_type_size, mul_ne, mul_nb, 2);
-
-    GGML_CANN_CALL_ACLNN_OP(ctx, Mul, acl_log_softmax.get(), acl_labels.get(), acl_mul_result.get());
+    size_t               loss_per_sample_type_size = sizeof(float);
+    int64_t              loss_per_sample_n_bytes   = nr * loss_per_sample_type_size;
+    ggml_cann_pool_alloc loss_per_sample_allocator(ctx.pool(), loss_per_sample_n_bytes);
+    void *               loss_per_sample_buffer = loss_per_sample_allocator.get();
 
-    size_t               sum_per_sample_type_size = sizeof(float);
-    int64_t              sum_per_sample_n_bytes   = nr * sum_per_sample_type_size;
-    ggml_cann_pool_alloc sum_per_sample_allocator(ctx.pool(), sum_per_sample_n_bytes);
-    void *               sum_per_sample_buffer = sum_per_sample_allocator.get();
+    int64_t loss_per_sample_ne[] = { nr };
+    size_t  loss_per_sample_nb[1];
+    loss_per_sample_nb[0] = loss_per_sample_type_size;
+    acl_tensor_ptr acl_loss_per_sample = ggml_cann_create_tensor(
+        loss_per_sample_buffer, ACL_FLOAT, loss_per_sample_type_size, loss_per_sample_ne, loss_per_sample_nb, 1);
 
-    int64_t sum_per_sample_ne[] = { nr };
-    size_t  sum_per_sample_nb[1];
-    sum_per_sample_nb[0]              = sum_per_sample_type_size;
-    acl_tensor_ptr acl_sum_per_sample = ggml_cann_create_tensor(
-        sum_per_sample_buffer, ACL_FLOAT, sum_per_sample_type_size, sum_per_sample_ne, sum_per_sample_nb, 1);
+    size_t               backprop_n_bytes = nr * nc * sizeof(float);
+    ggml_cann_pool_alloc backprop_allocator(ctx.pool(), backprop_n_bytes);
+    void *               backprop_buffer = backprop_allocator.get();
+    acl_tensor_ptr acl_backprop = ggml_cann_create_tensor(backprop_buffer, ACL_FLOAT, sizeof(float), logits_ne, logits_nb, 2);
 
-    std::vector<int64_t> sum_dims   = { 1 };
-    acl_int_array_ptr    dims_array = ggml_cann_create_int_array(sum_dims.data(), sum_dims.size());
-    bool                 keep_dims  = false;
-
-    GGML_CANN_CALL_ACLNN_OP(ctx, ReduceSum, acl_mul_result.get(), dims_array.get(), keep_dims, ACL_FLOAT,
-                            acl_sum_per_sample.get());
+    GGML_CANN_CALL_ACLNN_OP(ctx, SoftmaxCrossEntropyWithLogits, acl_logits.get(), acl_labels.get(),
+                            acl_loss_per_sample.get(), acl_backprop.get());
 
     size_t               total_sum_type_size = sizeof(float);
     int64_t              total_sum_n_bytes   = 1 * total_sum_type_size;
@@ -547,11 +635,12 @@ void ggml_cann_cross_entropy_loss(ggml_backend_cann_context & ctx, ggml_tensor *
 
     std::vector<int64_t> total_sum_dims    = { 0 };
     acl_int_array_ptr total_sum_dims_array = ggml_cann_create_int_array(total_sum_dims.data(), total_sum_dims.size());
+    bool              keep_dims            = false;
 
-    GGML_CANN_CALL_ACLNN_OP(ctx, ReduceSum, acl_sum_per_sample.get(), total_sum_dims_array.get(), keep_dims, ACL_FLOAT,
+    GGML_CANN_CALL_ACLNN_OP(ctx, ReduceSum, acl_loss_per_sample.get(), total_sum_dims_array.get(), keep_dims, ACL_FLOAT,
                             acl_total_sum.get());
 
-    float          value        = -1.0f / static_cast<float>(nr);
+    float          value        = 1.0f / static_cast<float>(nr);
     acl_scalar_ptr scale_factor = ggml_cann_create_scalar(&value, aclDataType::ACL_FLOAT);
     acl_tensor_ptr acl_dst =
         ggml_cann_create_tensor(dst->data, ACL_FLOAT, sizeof(float), total_sum_ne, total_sum_nb, 1);
@@ -589,6 +678,33 @@ void ggml_cann_group_norm(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
                             acl_mean_out.get(), acl_rstd_out.get());
 }
 
+void ggml_cann_set(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src0 = dst->src[0];
+    ggml_tensor * src1 = dst->src[1];
+
+    size_t nb1     = ((int32_t *) dst->op_params)[0];
+    size_t nb2     = ((int32_t *) dst->op_params)[1];
+    size_t nb3     = ((int32_t *) dst->op_params)[2];
+    size_t offset  = ((int32_t *) dst->op_params)[3];
+    bool   inplace = (bool) ((int32_t *) dst->op_params)[4];
+
+    size_t param_nb[] = { ggml_element_size(src0), nb1, nb2, nb3 };
+
+    // Create a view of dst at the target offset with src1's dimensions
+    acl_tensor_ptr acl_dst  = ggml_cann_create_tensor(dst, src1->ne, param_nb, GGML_MAX_DIMS, ACL_FORMAT_ND, offset);
+    acl_tensor_ptr acl_src1 = ggml_cann_create_tensor(src1);
+
+    if (!inplace) {
+        // First copy src0 to dst entirely
+        size_t cpy_size = ggml_nbytes(dst);
+        ACL_CHECK(
+            aclrtMemcpyAsync(dst->data, cpy_size, src0->data, cpy_size, ACL_MEMCPY_DEVICE_TO_DEVICE, ctx.stream()));
+    }
+
+    // Copy src1 into the target region of dst
+    GGML_CANN_CALL_ACLNN_OP(ctx, InplaceCopy, acl_dst.get(), acl_src1.get());
+}
+
 void ggml_cann_acc(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor * src0 = dst->src[0];
     ggml_tensor * src1 = dst->src[1];
@@ -652,6 +768,113 @@ void ggml_cann_sum(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     aclnn_reduce_sum(ctx, dst, reduce_dims, 4);
 }
 
+void ggml_cann_cumsum(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src = dst->src[0];
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src);
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
+    // GGML cumsum operates along dim 0 (innermost / ne[0]).
+    // ggml_cann_create_tensor reverses dimensions to [ne3,ne2,ne1,ne0],
+    // so GGML dim 0 maps to CANN dim 3 (the last dim of the 4-D tensor).
+    GGML_CANN_CALL_ACLNN_OP(ctx, Cumsum, acl_src.get(), (int64_t)3,
+                            ggml_cann_type_mapping(dst->type), acl_dst.get());
+}
+
+void ggml_cann_solve_tri(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src0 = dst->src[0];  // A: [N, N, B2, B3] lower triangular
+    ggml_tensor * src1 = dst->src[1];  // B: [K, N, B2, B3]
+
+    acl_tensor_ptr acl_a = ggml_cann_create_tensor(src0);
+    acl_tensor_ptr acl_b = ggml_cann_create_tensor(src1);
+    acl_tensor_ptr acl_x = ggml_cann_create_tensor(dst);
+
+    // mOut: triangular copy of A (required output), same shape as A.
+    const size_t a_bytes = ggml_nbytes(src0);
+    ggml_cann_pool_alloc m_alloc(ctx.pool(), a_bytes);
+    acl_tensor_ptr acl_m = ggml_cann_create_tensor(
+        m_alloc.get(), ggml_cann_type_mapping(src0->type),
+        ggml_type_size(src0->type), src0->ne, src0->nb, GGML_MAX_DIMS);
+
+    // Solve AX = B: upper=false (lower tri), transpose=false, unitriangular=false.
+    GGML_CANN_CALL_ACLNN_OP(ctx, TriangularSolve,
+        acl_b.get(), acl_a.get(), false, false, false,
+        acl_x.get(), acl_m.get());
+}
+
+void ggml_cann_diag(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src = dst->src[0];
+
+    GGML_ASSERT(src->ne[1] == 1);
+
+    const int64_t N       = src->ne[0];
+    const int64_t n_batch = src->ne[2] * src->ne[3];
+    const size_t  nb_f32  = sizeof(float);
+
+    // Fill dst with zeros.
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
+    {
+        float          zero = 0.0f;
+        acl_scalar_ptr acl_zero = ggml_cann_create_scalar(&zero, ACL_FLOAT);
+        GGML_CANN_CALL_ACLNN_OP(ctx, InplaceFillScalar, acl_dst.get(), acl_zero.get());
+    }
+
+    // Copy src vector onto the diagonal of dst via strided views.
+    // src viewed as [N, n_batch], contiguous strides.
+    int64_t ne_vec[2]      = { N, n_batch };
+    size_t  nb_src_vec[2]  = { nb_f32, N * nb_f32 };
+    // dst diagonal view: stride (N+1)*4 steps along the diagonal.
+    size_t  nb_dst_diag[2] = { (N + 1) * nb_f32, N * N * nb_f32 };
+
+    acl_tensor_ptr acl_src_vec  = ggml_cann_create_tensor(src->data, ACL_FLOAT, nb_f32, ne_vec, nb_src_vec, 2);
+    acl_tensor_ptr acl_dst_diag = ggml_cann_create_tensor(dst->data, ACL_FLOAT, nb_f32, ne_vec, nb_dst_diag, 2);
+
+    GGML_CANN_CALL_ACLNN_OP(ctx, InplaceCopy, acl_dst_diag.get(), acl_src_vec.get());
+}
+
+void ggml_cann_fill(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    float c = ggml_get_op_params_f32(dst, 0);
+
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
+    acl_scalar_ptr acl_c   = ggml_cann_create_scalar(&c, ACL_FLOAT);
+    GGML_CANN_CALL_ACLNN_OP(ctx, InplaceFillScalar, acl_dst.get(), acl_c.get());
+}
+
+void ggml_cann_tri(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src = dst->src[0];
+
+    const int64_t S       = src->ne[0];
+    const int64_t n_batch = src->ne[2] * src->ne[3];
+    const size_t  nb_f32  = sizeof(float);
+
+    int64_t ne3d[3] = { S, S, n_batch };
+    size_t  nb3d[3] = { nb_f32, S * nb_f32, S * S * nb_f32 };
+
+    const ggml_tri_type ttype = (ggml_tri_type) ggml_get_op_params_i32(dst, 0);
+
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src->data, ACL_FLOAT, nb_f32, ne3d, nb3d, 3);
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst->data, ACL_FLOAT, nb_f32, ne3d, nb3d, 3);
+
+    switch (ttype) {
+        case GGML_TRI_TYPE_LOWER:
+            // Tril(-1): preserve row > col (strict lower), zero upper + diagonal.
+            GGML_CANN_CALL_ACLNN_OP(ctx, Tril, acl_src.get(), (int64_t)-1, acl_dst.get());
+            break;
+        case GGML_TRI_TYPE_UPPER_DIAG:
+            // Triu(0): preserve row <= col (upper + diagonal), zero strict lower.
+            GGML_CANN_CALL_ACLNN_OP(ctx, Triu, acl_src.get(), (int64_t)0, acl_dst.get());
+            break;
+        case GGML_TRI_TYPE_UPPER:
+            // Triu(1): preserve row < col (strict upper), zero lower + diagonal.
+            GGML_CANN_CALL_ACLNN_OP(ctx, Triu, acl_src.get(), (int64_t)1, acl_dst.get());
+            break;
+        case GGML_TRI_TYPE_LOWER_DIAG:
+            // Tril(0): preserve row >= col (lower + diagonal), zero strict upper.
+            GGML_CANN_CALL_ACLNN_OP(ctx, Tril, acl_src.get(), (int64_t)0, acl_dst.get());
+            break;
+        default:
+            GGML_ABORT("unsupported tri type");
+    }
+}
+
 void ggml_cann_upsample_nearest2d(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor *  src     = dst->src[0];
     acl_tensor_ptr acl_src = ggml_cann_create_tensor(src, nullptr, nullptr, 0, ACL_FORMAT_NCHW);
@@ -1695,152 +1918,90 @@ void ggml_cann_softmax(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     aclnn_softmax(ctx, softmax_tensor.get(), 3, acl_dst.get());
 }
 
-/**
- * @brief Performs index select operation on a 4D tensor using the CANN backend.
- *
- * This function applies the `IndexSelect` operation along a specific dimension
- * of the source tensor (`src_buffer`) using the indices from the index tensor (`index`).
- * It iterates over the last two dimensions of the source tensor, creates the corresponding
- * CANN tensors for the source, index, and output slices, and executes the `IndexSelect`
- * operation for each slice.
- *
- * @param ctx The context for CANN backend operations.
- * @param src_buffer The source buffer containing the 4D input tensor data.
- * @param src_ne The dimensions of the source tensor.
- * @param src_nb The strides (byte offsets) of the source tensor.
- * @param dst_buffer The destination buffer where the output tensor data will be written.
- * @param dst_ne The dimensions of the destination tensor.
- * @param dst_nb The strides (byte offsets) of the destination tensor.
- * @param index The index tensor specifying the indices to select from the source tensor.
- * @param type The data type of the source and destination tensors.
- */
-static void aclnn_index_select_4d(ggml_backend_cann_context & ctx,
-                                  void *                      src_buffer,
-                                  int64_t *                   src_ne,
-                                  size_t *                    src_nb,
-                                  void *                      dst_buffer,
-                                  int64_t *                   dst_ne,
-                                  size_t *                    dst_nb,
-                                  ggml_tensor *               index,
-                                  ggml_type                   type) {
-    for (int64_t i = 0; i < src_ne[3]; i++) {
-        for (int64_t j = 0; j < src_ne[2]; j++) {
-            // src
-            acl_tensor_ptr acl_src_tensor =
-                ggml_cann_create_tensor((char *) src_buffer + i * src_nb[3] + j * src_nb[2],
-                                        ggml_cann_type_mapping(type), ggml_type_size(type), src_ne, src_nb, 2);
-
-            // index
-            acl_tensor_ptr acl_index = ggml_cann_create_tensor(
-                (char *) index->data + (i % index->ne[2]) * index->nb[2] + (j % index->ne[1]) * index->nb[1],
-                ggml_cann_type_mapping(index->type), ggml_element_size(index), index->ne, index->nb, 1);
-
-            // out
-            acl_tensor_ptr acl_out =
-                ggml_cann_create_tensor((char *) dst_buffer + i * dst_nb[3] + j * dst_nb[2],
-                                        ggml_cann_type_mapping(type), ggml_type_size(type), dst_ne, dst_nb, 2);
-            GGML_CANN_CALL_ACLNN_OP(ctx, IndexSelect, acl_src_tensor.get(), 0, acl_index.get(), acl_out.get());
-        }
-    }
-}
-
-/**
- * @brief Performs inplace index copy operation on a 4D tensor using the CANN backend.
- *
- * This function applies the `IndexCopy` operation along a specific dimension of the
- * destination tensor (`dst_buffer`) by copying elements from the source tensor (`src_buffer`)
- * to positions specified by the index tensor (`index`).
- * It iterates over the last two dimensions of the tensors, creates the corresponding
- * CANN tensors for source, index, and destination slices, and performs the index copy
- * operation for each slice.
- *
- * @param ctx The context for CANN backend operations.
- * @param src_buffer The source buffer containing the 4D input tensor data to be copied.
- * @param src_ne The dimensions of the source tensor.
- * @param src_nb The strides (byte offsets) of the source tensor.
- * @param dst_buffer The destination buffer where values will be copied to.
- * @param dst_ne The dimensions of the destination tensor.
- * @param dst_nb The strides (byte offsets) of the destination tensor.
- * @param index The index tensor specifying target positions in the destination tensor.
- * @param type The data type of the source and destination tensors.
- */
-static void aclnn_index_copy_4d(ggml_backend_cann_context & ctx,
-                                void *                      src_buffer,
-                                int64_t *                   src_ne,
-                                size_t *                    src_nb,
-                                void *                      dst_buffer,
-                                int64_t *                   dst_ne,
-                                size_t *                    dst_nb,
-                                ggml_tensor *               index,
-                                ggml_type                   type) {
-    for (int64_t i = 0; i < src_ne[3]; i++) {
-        for (int64_t j = 0; j < src_ne[2]; j++) {
-            // src
-            acl_tensor_ptr acl_src_tensor =
-                ggml_cann_create_tensor((char *) src_buffer + i * src_nb[3] + j * src_nb[2],
-                                        ggml_cann_type_mapping(type), ggml_type_size(type), src_ne, src_nb, 2);
-
-            // index
-            acl_tensor_ptr acl_index = ggml_cann_create_tensor(
-                (char *) index->data + (i % index->ne[2]) * index->nb[2] + (j % index->ne[1]) * index->nb[1],
-                ggml_cann_type_mapping(index->type), ggml_element_size(index), index->ne, index->nb, 1);
-
-            // out
-            acl_tensor_ptr acl_out =
-                ggml_cann_create_tensor((char *) dst_buffer + i * dst_nb[3] + j * dst_nb[2],
-                                        ggml_cann_type_mapping(type), ggml_type_size(type), dst_ne, dst_nb, 2);
-            GGML_CANN_CALL_ACLNN_OP(ctx, InplaceIndexCopy, acl_out.get(), 0, acl_index.get(), acl_src_tensor.get());
-        }
-    }
-}
 
 void ggml_cann_get_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
-    ggml_tensor * src0 = dst->src[0];  // src
+    ggml_tensor * src0 = dst->src[0];  // weight
     ggml_tensor * src1 = dst->src[1];  // index
 
     GGML_ASSERT(dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16
                 || dst->type == GGML_TYPE_BF16);
 
+    // n_idx: number of row indices per (i2, i3) batch slice.
+    // ggml guarantees: src0->ne[2] == src1->ne[1], src0->ne[3] == src1->ne[2], src1->ne[3] == 1.
+    const int64_t n_idx = src1->ne[0];
+
+    // Gather all (i2, i3) batch slices from src into dst.
+    // ggml_cann_create_tensor reverses dims, so ACL sees [ne1, ne0].
+    // GatherV2 with dim=0 gathers along ACL dim-0 == ggml ne[1] (the vocabulary / row axis).
+    // nb: the 4 strides of the source buffer (nb[0..1] for the 2D slice shape,
+    //     nb[2..3] for computing per-batch-slice base pointer offsets).
+    auto gather_batched = [&](void * src_base, aclDataType acl_type, size_t type_size,
+                              const size_t * nb) {
+        int64_t src_ne[2]  = { src0->ne[0], src0->ne[1] };
+        size_t  src_nb_2d[2] = { nb[0], nb[1] };
+        int64_t dst_ne[2]  = { src0->ne[0], n_idx };
+        size_t  dst_nb_2d[2] = { dst->nb[0], dst->nb[1] };
+        int64_t idx_ne[1]  = { n_idx };
+        size_t  idx_nb[1]  = { (size_t)ggml_element_size(src1) };
+
+        for (int64_t i3 = 0; i3 < src0->ne[3]; i3++) {
+            for (int64_t i2 = 0; i2 < src0->ne[2]; i2++) {
+                acl_tensor_ptr acl_src = ggml_cann_create_tensor(
+                    (char *)src_base + i3 * nb[3] + i2 * nb[2],
+                    acl_type, type_size, src_ne, src_nb_2d, 2);
+                acl_tensor_ptr acl_idx = ggml_cann_create_tensor(
+                    (char *)src1->data + i3 * src1->nb[2] + i2 * src1->nb[1],
+                    ggml_cann_type_mapping(src1->type), (size_t)ggml_element_size(src1),
+                    idx_ne, idx_nb, 1);
+                acl_tensor_ptr acl_dst = ggml_cann_create_tensor(
+                    (char *)dst->data + i3 * dst->nb[3] + i2 * dst->nb[2],
+                    acl_type, type_size, dst_ne, dst_nb_2d, 2);
+                GGML_CANN_CALL_ACLNN_OP(ctx, GatherV2, acl_src.get(), 0, acl_idx.get(), acl_dst.get());
+            }
+        }
+    };
+
     switch (src0->type) {
         case GGML_TYPE_BF16:
         case GGML_TYPE_F16:
         case GGML_TYPE_F32:
             if (src0->type == dst->type) {
-                aclnn_index_select_4d(ctx, src0->data, src0->ne, src0->nb, dst->data, dst->ne, dst->nb, src1,
-                                      dst->type);
+                gather_batched(src0->data,
+                               ggml_cann_type_mapping(src0->type), ggml_type_size(src0->type),
+                               src0->nb);
             } else {
-                acl_tensor_ptr       acl_src0 = ggml_cann_create_tensor(src0);
-                ggml_cann_pool_alloc src_buffer_allocator(ctx.pool(), ggml_nelements(src0) * ggml_element_size(dst));
-                void *               src_trans_buffer = src_buffer_allocator.get();
-                size_t               src_trans_nb[GGML_MAX_DIMS];
-                src_trans_nb[0] = dst->nb[0];
+                // Cast src0 to dst type, then gather.
+                ggml_cann_pool_alloc src_cast_allocator(ctx.pool(),
+                                                        ggml_nelements(src0) * ggml_element_size(dst));
+                size_t src_cast_nb[GGML_MAX_DIMS];
+                src_cast_nb[0] = ggml_type_size(dst->type);
                 for (int i = 1; i < GGML_MAX_DIMS; i++) {
-                    src_trans_nb[i] = src_trans_nb[i - 1] * src0->ne[i - 1];
+                    src_cast_nb[i] = src_cast_nb[i - 1] * src0->ne[i - 1];
                 }
-                acl_tensor_ptr src_trans_tensor =
-                    ggml_cann_create_tensor(src_trans_buffer, ggml_cann_type_mapping(dst->type),
-                                            ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS);
-                aclnn_cast(ctx, acl_src0.get(), src_trans_tensor.get(), ggml_cann_type_mapping(dst->type));
-                aclnn_index_select_4d(ctx, src_trans_buffer, src0->ne, src_trans_nb, dst->data, dst->ne, dst->nb, src1,
-                                      dst->type);
+                acl_tensor_ptr acl_src0     = ggml_cann_create_tensor(src0);
+                acl_tensor_ptr acl_src_cast = ggml_cann_create_tensor(
+                    src_cast_allocator.get(), ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                    src0->ne, src_cast_nb, GGML_MAX_DIMS);
+                aclnn_cast(ctx, acl_src0.get(), acl_src_cast.get(), ggml_cann_type_mapping(dst->type));
+
+                gather_batched(src_cast_allocator.get(),
+                               ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                               src_cast_nb);
             }
             break;
         case GGML_TYPE_Q8_0:
             {
-                // add 1 dim for bcast mul.
+                // Dequantize Q8_0 to dst type, then gather.
                 size_t  weight_nb[GGML_MAX_DIMS + 1], scale_nb[GGML_MAX_DIMS + 1], dequant_nb[GGML_MAX_DIMS + 1];
                 int64_t weight_ne[GGML_MAX_DIMS + 1], scale_ne[GGML_MAX_DIMS + 1], *dequant_ne;
-                int64_t scale_offset = 0;
-                // [3,4,5,64] -> [3,4,5,2,32]
-                weight_ne[0]         = QK8_0;
-                weight_ne[1]         = src0->ne[0] / QK8_0;
-                weight_nb[0]         = sizeof(int8_t);
-                weight_nb[1]         = weight_nb[0] * weight_ne[0];
+                weight_ne[0] = QK8_0;
+                weight_ne[1] = src0->ne[0] / QK8_0;
+                weight_nb[0] = sizeof(int8_t);
+                weight_nb[1] = weight_nb[0] * weight_ne[0];
                 for (int i = 2; i < GGML_MAX_DIMS + 1; i++) {
                     weight_ne[i] = src0->ne[i - 1];
                     weight_nb[i] = weight_nb[i - 1] * weight_ne[i - 1];
                 }
-                // [3,4,5,64] -> [3,4,5,2,1]
                 scale_ne[0] = 1;
                 scale_ne[1] = src0->ne[0] / QK8_0;
                 scale_nb[0] = sizeof(uint16_t);
@@ -1849,31 +2010,33 @@ void ggml_cann_get_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
                     scale_ne[i] = src0->ne[i - 1];
                     scale_nb[i] = scale_nb[i - 1] * scale_ne[i - 1];
                 }
-                // [3,4,5,64] -> [3,4,5,2,32]
                 dequant_ne    = weight_ne;
                 dequant_nb[0] = ggml_type_size(dst->type);
                 for (int i = 1; i < GGML_MAX_DIMS + 1; i++) {
                     dequant_nb[i] = dequant_nb[i - 1] * dequant_ne[i - 1];
                 }
-                scale_offset = ggml_nelements(src0) * sizeof(int8_t);
-                ggml_cann_pool_alloc dequant_buffer_allocator(ctx.pool(),
-                                                              ggml_nelements(src0) * ggml_type_size(dst->type));
-                acl_tensor_ptr       acl_weight_tensor = ggml_cann_create_tensor(src0->data, ACL_INT8, sizeof(int8_t),
-                                                                                 weight_ne, weight_nb, GGML_MAX_DIMS + 1);
-                acl_tensor_ptr       acl_scale_tensor =
-                    ggml_cann_create_tensor(src0->data, ACL_FLOAT16, sizeof(uint16_t), scale_ne, scale_nb,
-                                            GGML_MAX_DIMS + 1, ACL_FORMAT_ND, scale_offset);
-                acl_tensor_ptr dequant_tensor =
-                    ggml_cann_create_tensor(dequant_buffer_allocator.get(), ggml_cann_type_mapping(dst->type),
-                                            ggml_type_size(dst->type), dequant_ne, dequant_nb, GGML_MAX_DIMS + 1);
-                aclnn_mul(ctx, acl_weight_tensor.get(), acl_scale_tensor.get(), dequant_tensor.get());
-                dequant_nb[0] = ggml_type_size(dst->type);
+                const int64_t scale_offset = ggml_nelements(src0) * sizeof(int8_t);
+                ggml_cann_pool_alloc dequant_allocator(ctx.pool(),
+                                                       ggml_nelements(src0) * ggml_type_size(dst->type));
+                acl_tensor_ptr acl_weight = ggml_cann_create_tensor(src0->data, ACL_INT8, sizeof(int8_t),
+                                                                     weight_ne, weight_nb, GGML_MAX_DIMS + 1);
+                acl_tensor_ptr acl_scale  = ggml_cann_create_tensor(
+                    src0->data, ACL_FLOAT16, sizeof(uint16_t), scale_ne, scale_nb,
+                    GGML_MAX_DIMS + 1, ACL_FORMAT_ND, scale_offset);
+                acl_tensor_ptr acl_dequant = ggml_cann_create_tensor(
+                    dequant_allocator.get(), ggml_cann_type_mapping(dst->type),
+                    ggml_type_size(dst->type), dequant_ne, dequant_nb, GGML_MAX_DIMS + 1);
+                aclnn_mul(ctx, acl_weight.get(), acl_scale.get(), acl_dequant.get());
+
+                // Reinterpret dequant buffer as 4D [src0->ne] with contiguous strides.
                 dequant_ne    = src0->ne;
+                dequant_nb[0] = ggml_type_size(dst->type);
                 for (int i = 1; i < GGML_MAX_DIMS; i++) {
                     dequant_nb[i] = dequant_nb[i - 1] * src0->ne[i - 1];
                 }
-                aclnn_index_select_4d(ctx, dequant_buffer_allocator.get(), dequant_ne, dequant_nb, dst->data, dst->ne,
-                                      dst->nb, src1, dst->type);
+                gather_batched(dequant_allocator.get(),
+                               ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                               dequant_nb);
                 break;
             }
         default:
@@ -1883,31 +2046,70 @@ void ggml_cann_get_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
 }
 
 void ggml_cann_set_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
-    ggml_tensor * src0 = dst->src[0];  // src
-    ggml_tensor * src1 = dst->src[1];  // index
+    ggml_tensor * src0 = dst->src[0];  // source values
+    ggml_tensor * src1 = dst->src[1];  // row indices
+
+    // n_idx: number of source rows to scatter per batch slice.
+    // ggml guarantees: src0->ne[1] == src1->ne[0].
+    const int64_t n_idx = src1->ne[0];
+
+    // Copy n_idx rows of src [ne0, n_idx] into dst [ne0, ne1] at positions given by a 1D index.
+    // ggml_cann_create_tensor reverses dims, so ACL sees [ne1, ne0] for dst.
+    // InplaceIndexCopy with dim=0 copies along ACL dim-0 == ggml ne[1] (the row axis).
+    // src_nb: the 4 strides of the source buffer (nb[0..1] for the 2D slice shape,
+    //         nb[2..3] for computing per-batch-slice base pointer offsets).
+    auto scatter_batched = [&](void * src_base, aclDataType acl_type, size_t type_size,
+                               const size_t * src_nb) {
+        int64_t d_ne[2]    = { dst->ne[0], dst->ne[1] };
+        size_t  d_nb[2]    = { dst->nb[0], dst->nb[1] };
+        int64_t s_ne[2]    = { dst->ne[0], n_idx };
+        size_t  s_nb_2d[2] = { src_nb[0], src_nb[1] };
+        int64_t i_ne[1]    = { n_idx };
+        size_t  i_nb[1]    = { (size_t)ggml_element_size(src1) };
+
+        for (int64_t i3 = 0; i3 < dst->ne[3]; i3++) {
+            for (int64_t i2 = 0; i2 < dst->ne[2]; i2++) {
+                acl_tensor_ptr acl_dst = ggml_cann_create_tensor(
+                    (char *)dst->data + i3 * dst->nb[3] + i2 * dst->nb[2],
+                    acl_type, type_size, d_ne, d_nb, 2);
+                acl_tensor_ptr acl_idx = ggml_cann_create_tensor(
+                    (char *)src1->data + (i3 % src1->ne[2]) * src1->nb[2] + (i2 % src1->ne[1]) * src1->nb[1],
+                    ggml_cann_type_mapping(src1->type), (size_t)ggml_element_size(src1),
+                    i_ne, i_nb, 1);
+                acl_tensor_ptr acl_src = ggml_cann_create_tensor(
+                    (char *)src_base + i3 * src_nb[3] + i2 * src_nb[2],
+                    acl_type, type_size, s_ne, s_nb_2d, 2);
+                GGML_CANN_CALL_ACLNN_OP(ctx, InplaceIndexCopy, acl_dst.get(), 0, acl_idx.get(), acl_src.get());
+            }
+        }
+    };
 
     switch (dst->type) {
         case GGML_TYPE_F32:
-            {
-                aclnn_index_copy_4d(ctx, src0->data, src0->ne, src0->nb, dst->data, dst->ne, dst->nb, src1, dst->type);
-                break;
-            }
+            scatter_batched(src0->data,
+                            ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                            src0->nb);
+            break;
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
             {
-                acl_tensor_ptr       acl_src0 = ggml_cann_create_tensor(src0);
-                ggml_cann_pool_alloc src_buffer_allocator(ctx.pool(), ggml_nelements(src0) * sizeof(uint16_t));
-                void *               src_trans_buffer = src_buffer_allocator.get();
-                size_t               src_trans_nb[GGML_MAX_DIMS];
-                src_trans_nb[0] = sizeof(uint16_t);
+                // Cast src0 (F32) to dst type first.
+                ggml_cann_pool_alloc src_cast_allocator(ctx.pool(),
+                                                        ggml_nelements(src0) * ggml_type_size(dst->type));
+                size_t src_cast_nb[GGML_MAX_DIMS];
+                src_cast_nb[0] = ggml_type_size(dst->type);
                 for (int i = 1; i < GGML_MAX_DIMS; i++) {
-                    src_trans_nb[i] = src_trans_nb[i - 1] * src0->ne[i - 1];
+                    src_cast_nb[i] = src_cast_nb[i - 1] * src0->ne[i - 1];
                 }
-                acl_tensor_ptr src_trans_tensor = ggml_cann_create_tensor(
-                    src_trans_buffer, ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type), src0->ne, src_trans_nb, GGML_MAX_DIMS);
-                aclnn_cast(ctx, acl_src0.get(), src_trans_tensor.get(), ggml_cann_type_mapping(dst->type));
-                aclnn_index_copy_4d(ctx, src_trans_buffer, src0->ne, src_trans_nb, dst->data, dst->ne, dst->nb, src1,
-                                    dst->type);
+                acl_tensor_ptr acl_src0     = ggml_cann_create_tensor(src0);
+                acl_tensor_ptr acl_src_cast = ggml_cann_create_tensor(
+                    src_cast_allocator.get(), ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                    src0->ne, src_cast_nb, GGML_MAX_DIMS);
+                aclnn_cast(ctx, acl_src0.get(), acl_src_cast.get(), ggml_cann_type_mapping(dst->type));
+
+                scatter_batched(src_cast_allocator.get(),
+                                ggml_cann_type_mapping(dst->type), ggml_type_size(dst->type),
+                                src_cast_nb);
                 break;
             }
         default:
@@ -3268,29 +3470,50 @@ void ggml_cann_pad_reflect_1d(ggml_backend_cann_context & ctx, ggml_tensor * dst
     int64_t           paddingsArray[2] = { opts[0], opts[1] };
     acl_int_array_ptr paddings         = ggml_cann_create_int_array(paddingsArray, 2);
 
-    for (int64_t i = 0; i < src0->ne[3]; i++) {
-        acl_tensor_ptr acl_src =
-            ggml_cann_create_tensor((char *) src0->data + i * src0->ne[3], ggml_cann_type_mapping(src0->type),
-                                    ggml_element_size(src0), src0->ne, src0->nb, 3);
+    // Collapsing ne[2]*ne[3] into a single batch dimension requires that dim3
+    // is contiguous with respect to dim2 in both src and dst.
+    GGML_ASSERT(src0->nb[3] == src0->nb[2] * src0->ne[2]);
+    GGML_ASSERT(dst->nb[3]  == dst->nb[2]  * dst->ne[2]);
 
-        acl_tensor_ptr acl_dst =
-            ggml_cann_create_tensor((char *) dst->data + i * src0->ne[3], ggml_cann_type_mapping(dst->type),
-                                    ggml_element_size(dst), dst->ne, dst->nb, 3);
+    int64_t src_ne_3d[3] = { src0->ne[0], src0->ne[1], src0->ne[2] * src0->ne[3] };
+    int64_t dst_ne_3d[3] = { dst->ne[0],  dst->ne[1],  dst->ne[2]  * dst->ne[3]  };
 
-        GGML_CANN_CALL_ACLNN_OP(ctx, ReflectionPad1d, acl_src.get(), paddings.get(), acl_dst.get());
-    }
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src0->data, ggml_cann_type_mapping(src0->type),
+                                                     ggml_element_size(src0), src_ne_3d, src0->nb, 3);
+
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst->data, ggml_cann_type_mapping(dst->type),
+                                                     ggml_element_size(dst), dst_ne_3d, dst->nb, 3);
+
+    GGML_CANN_CALL_ACLNN_OP(ctx, ReflectionPad1d, acl_src.get(), paddings.get(), acl_dst.get());
 }
 
 void ggml_cann_count_equal(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     ggml_tensor * src0 = dst->src[0];
     ggml_tensor * src1 = dst->src[1];
 
+    // Write element-wise equality (0 or 1) into a temporary buffer to avoid
+    // modifying src0 in-place.  Use the same type as src0 so ReduceSum can
+    // consume it directly without a type cast.
+    ggml_cann_pool_alloc eq_alloc(ctx.pool(), ggml_nelements(src0) * ggml_element_size(src0));
+    size_t eq_nb[GGML_MAX_DIMS];
+    eq_nb[0] = ggml_element_size(src0);
+    for (int i = 1; i < GGML_MAX_DIMS; i++) {
+        eq_nb[i] = eq_nb[i - 1] * src0->ne[i - 1];
+    }
+    acl_tensor_ptr acl_eq = ggml_cann_create_tensor(
+        eq_alloc.get(), ggml_cann_type_mapping(src0->type), ggml_element_size(src0),
+        src0->ne, eq_nb, GGML_MAX_DIMS);
+
     acl_tensor_ptr acl_self  = ggml_cann_create_tensor(src0);
     acl_tensor_ptr acl_other = ggml_cann_create_tensor(src1);
-
-    GGML_CANN_CALL_ACLNN_OP(ctx, InplaceEqTensor, acl_self.get(), acl_other.get());
-
-    ggml_cann_sum(ctx, dst);
+    GGML_CANN_CALL_ACLNN_OP(ctx, EqTensor, acl_self.get(), acl_other.get(), acl_eq.get());
+
+    // Sum the 0/1 values into dst.
+    acl_tensor_ptr    acl_dst    = ggml_cann_create_tensor(dst);
+    int64_t           dims[4]    = { 0, 1, 2, 3 };
+    acl_int_array_ptr dims_arr   = ggml_cann_create_int_array(dims, 4);
+    GGML_CANN_CALL_ACLNN_OP(ctx, ReduceSum, acl_eq.get(), dims_arr.get(), true,
+                            ggml_cann_type_mapping(dst->type), acl_dst.get());
 }
 
 void ggml_cann_step(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
@@ -3306,6 +3529,27 @@ void ggml_cann_step(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
     GGML_CANN_CALL_ACLNN_OP(ctx, GtScalar, acl_src.get(), alpha.get(), acl_dst.get());
 }
 
+void ggml_cann_softplus(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    ggml_tensor * src0 = dst->src[0];
+
+    acl_tensor_ptr acl_src = ggml_cann_create_tensor(src0);
+    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
+
+    float          beta_val      = 1.0f;
+    float          threshold_val = 20.0f;
+    acl_scalar_ptr beta          = ggml_cann_create_scalar(&beta_val,      ACL_FLOAT);
+    acl_scalar_ptr threshold     = ggml_cann_create_scalar(&threshold_val, ACL_FLOAT);
+
+    GGML_CANN_CALL_ACLNN_OP(ctx, Softplus, acl_src.get(), beta.get(), threshold.get(), acl_dst.get());
+}
+
+void ggml_cann_geglu_quick(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
+    auto gelu_quick_fn = [](ggml_backend_cann_context & ctx, aclTensor * acl_src, aclTensor * acl_dst) {
+        GGML_CANN_CALL_ACLNN_OP(ctx, GeluV2, acl_src, 0, acl_dst);
+    };
+    ggml_cann_op_unary_gated(gelu_quick_fn, ctx, dst);
+}
+
 /**
  * @brief Performs expert-specific matrix multiplication (MoE) with
  * floating-point precision using the CANN backend.
@@ -3892,46 +4136,65 @@ void ggml_cann_flash_attn_ext(ggml_backend_cann_context & ctx, ggml_tensor * dst
 }
 
 static void ggml_cann_out_prod_fp(ggml_backend_cann_context & ctx, ggml_tensor * dst) {
-    ggml_tensor * src0 = dst->src[0];  // weight
-    ggml_tensor * src1 = dst->src[1];  // input
+    ggml_tensor * src0 = dst->src[0];  // weight  [ne00=m, ne01=K, ne02, ne03]
+    ggml_tensor * src1 = dst->src[1];  // input   [ne10=n, ne11=K, ne12, ne13]
     GGML_TENSOR_BINARY_OP_LOCALS
 
-    acl_tensor_ptr acl_dst = ggml_cann_create_tensor(dst);
-    GGML_CANN_CALL_ACLNN_OP(ctx, InplaceZero, acl_dst.get());
+    // dst[i,j] = sum_k src0[i,k] * src1[j,k]  i.e. dst = src0 @ src1^T.
+    //
+    // ggml_cann_create_tensor reverses dimension order, so ACL sees:
+    //   acl_src0 slice:   ggml[m,K]  ->  ACL[K,m]
+    //   acl_src1 slice:   ggml[n,K]  ->  ACL[K,n]
+    //   acl_dst  slice:   ggml[m,n]  ->  ACL[n,m]
+    //
+    // Build a transposed view of src1 by swapping ne[0]/ne[1]:
+    //   src1_t:  ggml[K,n] (swapped strides)  ->  ACL[n,K]
+    //
+    // Matmul(src1_t [n,K], src0 [K,m]) = [n,m] = acl_dst  ✓
+    //
+    // The outer batch loop is kept because src0 may have fewer batch slices than
+    // dst (ne02 <= ne2, ne03 <= ne3): this is a strided-broadcast not supported
+    // by standard CANN Matmul broadcasting.
+
+    const aclDataType src0_acl_type = ggml_cann_type_mapping(src0->type);
+    const aclDataType src1_acl_type = ggml_cann_type_mapping(src1->type);
+    const aclDataType dst_acl_type  = ggml_cann_type_mapping(dst->type);
+    const size_t      src0_type_sz  = ggml_type_size(src0->type);
+    const size_t      src1_type_sz  = ggml_type_size(src1->type);
+    const size_t      dst_type_sz   = ggml_type_size(dst->type);
 
     const int64_t dps2 = ne2 / ne02;
     const int64_t dps3 = ne3 / ne03;
+
     for (int64_t i3 = 0; i3 < ne3; i3++) {
         for (int64_t i2 = 0; i2 < ne2; i2++) {
             const int64_t i02 = i2 / dps2;
             const int64_t i03 = i3 / dps3;
 
-            const int64_t  i12 = i2;
-            const int64_t  i13 = i3;
-            acl_tensor_ptr accumulator =
-                ggml_cann_create_tensor((char *) dst->data + i2 * nb2 + i3 * nb3, ggml_cann_type_mapping(dst->type),
-                                        ggml_type_size(dst->type), dst->ne, dst->nb, 2);
-
-            // The outer product needs to be accumulated in this dimension.
-            for (int64_t i1 = 0; i1 < ne11; i1++) {
-                acl_tensor_ptr acl_input = ggml_cann_create_tensor(
-                    (char *) src1->data + i1 * nb11 + i12 * nb12 + i13 * nb13, ggml_cann_type_mapping(src0->type),
-                    ggml_type_size(src0->type), src1->ne, src1->nb, 1);
-
-                acl_tensor_ptr acl_weight = ggml_cann_create_tensor(
-                    (char *) src0->data + i1 * nb01 + i02 * nb02 + i03 * nb03, ggml_cann_type_mapping(src0->type),
-                    ggml_type_size(src0->type), src0->ne, src0->nb, 1);
-
-                ggml_cann_pool_alloc output_allocator(ctx.pool());
-                void *               output_buffer = output_allocator.alloc(ggml_nbytes(dst));
-                acl_tensor_ptr       acl_out = ggml_cann_create_tensor(output_buffer, ggml_cann_type_mapping(dst->type),
-                                                                       ggml_type_size(dst->type), dst->ne, dst->nb, 2);
-
-                GGML_CANN_CALL_ACLNN_OP(ctx, Ger, acl_input.get(), acl_weight.get(), acl_out.get());
-                float       alpha_value = 1.0f;
-                aclScalar * alpha       = aclCreateScalar(&alpha_value, ACL_FLOAT);
-                GGML_CANN_CALL_ACLNN_OP(ctx, InplaceAdd, accumulator.get(), acl_out.get(), alpha);
-            }
+            // src0 2D slice at [i02, i03]: ggml [m, K] -> ACL [K, m]
+            int64_t src0_ne[2] = { ne00, ne01 };
+            size_t  src0_nb[2] = { nb00, nb01 };
+            acl_tensor_ptr acl_src0_s = ggml_cann_create_tensor(
+                (char *) src0->data + i02 * nb02 + i03 * nb03,
+                src0_acl_type, src0_type_sz, src0_ne, src0_nb, 2);
+
+            // src1 transposed 2D slice at [i2, i3]: swap ne/nb -> ggml[K,n] -> ACL[n,K]
+            int64_t src1_t_ne[2] = { ne11, ne10 };
+            size_t  src1_t_nb[2] = { nb11, nb10 };
+            acl_tensor_ptr acl_src1_t = ggml_cann_create_tensor(
+                (char *) src1->data + i2 * nb12 + i3 * nb13,
+                src1_acl_type, src1_type_sz, src1_t_ne, src1_t_nb, 2);
+
+            // dst 2D slice at [i2, i3]: ggml [m, n] -> ACL [n, m]
+            int64_t dst_ne[2] = { ne0, ne1 };
+            size_t  dst_nb[2] = { nb0, nb1 };
+            acl_tensor_ptr acl_dst_s = ggml_cann_create_tensor(
+                (char *) dst->data + i2 * nb2 + i3 * nb3,
+                dst_acl_type, dst_type_sz, dst_ne, dst_nb, 2);
+
+            // Matmul(src1_t [n,K], src0 [K,m]) = [n,m] = acl_dst_s  ✓
+            GGML_CANN_CALL_ACLNN_OP(ctx, Matmul,
+                acl_src1_t.get(), acl_src0_s.get(), acl_dst_s.get(), (int8_t) 1);
         }
     }
 }
@@ -4170,3 +4433,4 @@ void ggml_cann_gated_linear_attn(ggml_backend_cann_context & ctx, ggml_tensor *
         }
     }
 }
+
diff --git a/ggml/src/ggml-cann/aclnn_ops.h b/ggml/src/ggml-cann/aclnn_ops.h
index 7f5ba4d33..cdbf9260f 100644
--- a/ggml/src/ggml-cann/aclnn_ops.h
+++ b/ggml/src/ggml-cann/aclnn_ops.h
@@ -32,6 +32,9 @@
 #include <aclnnop/aclnn_cat.h>
 #include <aclnnop/aclnn_clamp.h>
 #include <aclnnop/aclnn_cos.h>
+#include <aclnnop/aclnn_cumsum.h>
+#include <aclnnop/aclnn_tril.h>
+#include <aclnnop/aclnn_triu.h>
 #include <aclnnop/aclnn_exp.h>
 #include <aclnnop/aclnn_gelu.h>
 #include <aclnnop/aclnn_gelu_v2.h>
@@ -47,6 +50,9 @@
 #include <aclnnop/aclnn_sign.h>
 #include <aclnnop/aclnn_silu.h>
 #include <aclnnop/aclnn_sin.h>
+#include <aclnnop/aclnn_softplus.h>
+#include <aclnnop/aclnn_swi_glu.h>
+#include <aclnnop/aclnn_geglu.h>
 #include <aclnnop/aclnn_slice.h>
 #include <aclnnop/aclnn_sqrt.h>
 #include <aclnnop/aclnn_tanh.h>
@@ -69,6 +75,9 @@
  */
 void ggml_cann_repeat(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
+void ggml_cann_swiglu(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+void ggml_cann_geglu(ggml_backend_cann_context & ctx, ggml_tensor * dst, int64_t approximate);
+
 /**
  * @brief   Applies the Leaky ReLU activation function to a tensor using the CANN
  *          backend.
@@ -325,6 +334,48 @@ void ggml_cann_sum_rows(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
 void ggml_cann_sum(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
+/**
+ * @brief   Computes the cumulative sum of a ggml tensor along dim 0 using the
+ *          CANN backend.
+ *
+ * @param ctx The CANN context used for operations.
+ * @param dst The destination tensor. dst->op is `GGML_OP_CUMSUM`.
+ */
+void ggml_cann_cumsum(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
+/**
+ * @brief   Computes a triangular mask (tril/triu) of a square ggml tensor
+ *          using the CANN backend.
+ *
+ * @param ctx The CANN context used for operations.
+ * @param dst The destination tensor. dst->op is `GGML_OP_TRI`.
+ */
+void ggml_cann_tri(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
+/**
+ * @brief   Solves a triangular linear system AX=B using the CANN backend.
+ *
+ * @param ctx The CANN context used for operations.
+ * @param dst The destination tensor. dst->op is `GGML_OP_SOLVE_TRI`.
+ */
+void ggml_cann_solve_tri(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
+/**
+ * @brief   Creates a diagonal matrix from a vector using the CANN backend.
+ *
+ * @param ctx The CANN context used for operations.
+ * @param dst The destination tensor. dst->op is `GGML_OP_DIAG`.
+ */
+void ggml_cann_diag(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
+/**
+ * @brief   Fills a tensor with a constant scalar value using the CANN backend.
+ *
+ * @param ctx The CANN context used for operations.
+ * @param dst The destination tensor. dst->op is `GGML_OP_FILL`.
+ */
+void ggml_cann_fill(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
 /**
  * @brief   Upsamples a ggml tensor using nearest neighbor interpolation using
  *          the CANN backend.
@@ -461,6 +512,9 @@ void ggml_cann_timestep_embedding(ggml_backend_cann_context & ctx, ggml_tensor *
 // @see ggml_cann_dup.
 void ggml_cann_cpy(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
+// @see ggml_cann_acc, but copies src1 into dst instead of adding.
+void ggml_cann_set(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+
 /**
  * @brief   Computes the softmax activation with optional masking.
  *
@@ -813,6 +867,8 @@ void ggml_cann_count_equal(ggml_backend_cann_context & ctx, ggml_tensor * dst);
  *            dst->op is expected to be `GGML_OP_STEP`.
  */
 void ggml_cann_step(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+void ggml_cann_softplus(ggml_backend_cann_context & ctx, ggml_tensor * dst);
+void ggml_cann_geglu_quick(ggml_backend_cann_context & ctx, ggml_tensor * dst);
 
 /**
  * @brief   Performs the Flash Attention extended operator using the CANN backend.
diff --git a/ggml/src/ggml-cann/ggml-cann.cpp b/ggml/src/ggml-cann/ggml-cann.cpp
index 40fe3d82e..5f51ea3bb 100644
--- a/ggml/src/ggml-cann/ggml-cann.cpp
+++ b/ggml/src/ggml-cann/ggml-cann.cpp
@@ -1428,6 +1428,22 @@ static bool ggml_backend_cann_buffer_cpy_tensor(ggml_backend_buffer_t buffer,
     return false;
 }
 
+/**
+ * @brief Set a region of a tensor's device memory to a specified value.
+ *
+ * @param buffer The CANN buffer containing the tensor.
+ * @param tensor Pointer to the tensor whose memory will be set.
+ * @param value The value to which each byte in the region will be set.
+ * @param offset Byte offset within the tensor's data to start setting.
+ * @param size Number of bytes to set.
+ */
+static void ggml_backend_cann_buffer_memset_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
+    ggml_backend_cann_buffer_context * ctx = (ggml_backend_cann_buffer_context *) buffer->context;
+
+    ggml_cann_set_device(ctx->device);
+    ACL_CHECK(aclrtMemset((char *) tensor->data + offset, size, value, size));
+}
+
 /**
  * @brief Clear a CANN buffer by setting all its memory to a specified value.
  *
@@ -1454,9 +1470,11 @@ static const ggml_backend_buffer_i ggml_backend_cann_buffer_interface = {
     /* .free_buffer     = */ ggml_backend_cann_buffer_free_buffer,
     /* .get_base        = */ ggml_backend_cann_buffer_get_base,
     /* .init_tensor     = */ ggml_backend_cann_buffer_init_tensor,
-    /* .memset_tensor   = */ NULL,
+    /* .memset_tensor   = */ ggml_backend_cann_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cann_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cann_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_cann_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cann_buffer_clear,
     /* .reset           = */ NULL,
@@ -1833,6 +1851,9 @@ static bool ggml_cann_compute_forward(ggml_backend_cann_context & ctx, struct gg
                 case GGML_UNARY_OP_STEP:
                     ggml_cann_step(ctx, dst);
                     break;
+                case GGML_UNARY_OP_SOFTPLUS:
+                    ggml_cann_softplus(ctx, dst);
+                    break;
                 default:
                     return false;
             }
@@ -1843,20 +1864,16 @@ static bool ggml_cann_compute_forward(ggml_backend_cann_context & ctx, struct gg
                     GGML_CANN_CALL_OP_UNARY_GATED(Relu);
                     break;
                 case GGML_GLU_OP_GEGLU:
+                    ggml_cann_geglu(ctx, dst, 0);  // approximate=0 → tanh
+                    break;
                 case GGML_GLU_OP_GEGLU_ERF:
-                    // aclnnGelu internally uses the erf-based approximation.
-                    GGML_CANN_CALL_OP_UNARY_GATED(Gelu);
+                    ggml_cann_geglu(ctx, dst, 1);  // approximate=1 → erf
                     break;
                 case GGML_GLU_OP_SWIGLU:
-                    GGML_CANN_CALL_OP_UNARY_GATED(Silu);
+                    ggml_cann_swiglu(ctx, dst);
                     break;
                 case GGML_GLU_OP_GEGLU_QUICK:
-                    {
-                        auto lambda = [](ggml_backend_cann_context & ctx, aclTensor * acl_src, aclTensor * acl_dst) {
-                            GGML_CANN_CALL_ACLNN_OP(ctx, GeluV2, acl_src, 0, acl_dst);
-                        };
-                        ggml_cann_op_unary_gated(lambda, ctx, dst);
-                    }
+                    ggml_cann_geglu_quick(ctx, dst);
                     break;
                 default:
                     return false;
@@ -1918,6 +1935,9 @@ static bool ggml_cann_compute_forward(ggml_backend_cann_context & ctx, struct gg
         case GGML_OP_CPY:
             ggml_cann_cpy(ctx, dst);
             break;
+        case GGML_OP_SET:
+            ggml_cann_set(ctx, dst);
+            break;
         case GGML_OP_CONT:
             ggml_cann_dup(ctx, dst);
             break;
@@ -1987,6 +2007,21 @@ static bool ggml_cann_compute_forward(ggml_backend_cann_context & ctx, struct gg
         case GGML_OP_SSM_CONV:
             ggml_cann_ssm_conv(ctx, dst);
             break;
+        case GGML_OP_CUMSUM:
+            ggml_cann_cumsum(ctx, dst);
+            break;
+        case GGML_OP_TRI:
+            ggml_cann_tri(ctx, dst);
+            break;
+        case GGML_OP_FILL:
+            ggml_cann_fill(ctx, dst);
+            break;
+        case GGML_OP_DIAG:
+            ggml_cann_diag(ctx, dst);
+            break;
+        case GGML_OP_SOLVE_TRI:
+            ggml_cann_solve_tri(ctx, dst);
+            break;
         default:
             return false;
     }
@@ -2322,6 +2357,7 @@ static enum ggml_status ggml_backend_cann_graph_compute(ggml_backend_t backend,
     if (use_cann_graph) {
         // If no matching graph is found, the graph needs to be recaptured.
         graph_capture_required = !cann_ctx->graph_lru_cache.find_and_move_to_front(cgraph);
+
         if (graph_capture_required) {
             // If no matching graph is found, add a new ACL graph.
             ggml_cann_graph * new_graph = ggml_cann_graph::create_from_cgraph(cgraph);
@@ -2380,6 +2416,7 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
                 case GGML_UNARY_OP_SGN:
                 case GGML_UNARY_OP_STEP:
                 case GGML_UNARY_OP_GELU_ERF:
+                case GGML_UNARY_OP_SOFTPLUS:
                     return true;
                 default:
                     return false;
@@ -2570,6 +2607,7 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
         case GGML_OP_SUM_ROWS:
         case GGML_OP_ARGSORT:
         case GGML_OP_ACC:
+        case GGML_OP_SET:
         case GGML_OP_GROUP_NORM:
             return true;
         case GGML_OP_PAD:
@@ -2647,6 +2685,16 @@ static bool ggml_backend_cann_supports_op(ggml_backend_dev_t dev, const ggml_ten
             }
         case GGML_OP_SSM_CONV:
             return true;
+        case GGML_OP_CUMSUM:
+            return op->src[0]->type == GGML_TYPE_F32;
+        case GGML_OP_TRI:
+            return op->src[0]->type == GGML_TYPE_F32;
+        case GGML_OP_FILL:
+            return op->src[0]->type == GGML_TYPE_F32;
+        case GGML_OP_DIAG:
+            return op->src[0]->type == GGML_TYPE_F32;
+        case GGML_OP_SOLVE_TRI:
+            return op->src[0]->type == GGML_TYPE_F32;
         default:
             return false;
     }
@@ -2698,6 +2746,8 @@ static const ggml_backend_i ggml_backend_cann_interface = {
     /* .free                    = */ ggml_backend_cann_free,
     /* .set_tensor_async        = */ ggml_backend_cann_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_cann_get_tensor_async,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ ggml_backend_cann_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_cann_synchronize,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-common.h b/ggml/src/ggml-common.h
index 76e3e8f65..b9d131b5e 100644
--- a/ggml/src/ggml-common.h
+++ b/ggml/src/ggml-common.h
@@ -93,6 +93,10 @@ typedef sycl::half2 ggml_half2;
 // QR = QK / number of values before dequantization
 // QI = number of 32 bit integers before dequantization
 
+#define QI1_0 (QK1_0 / 32)
+#define QR1_0 1
+
+
 #define QI4_0 (QK4_0 / (4 * QR4_0))
 #define QR4_0 2
 
@@ -170,6 +174,13 @@ typedef sycl::half2 ggml_half2;
 #define GGML_EXTENSION __extension__
 #endif // _MSC_VER
 
+#define QK1_0 128
+typedef struct {
+    ggml_half d;           // delta
+    uint8_t qs[QK1_0 / 8]; // bits / quants
+} block_q1_0;
+static_assert(sizeof(block_q1_0) == sizeof(ggml_half) + QK1_0 / 8, "wrong q1_0 block size/padding");
+
 #define QK4_0 32
 typedef struct {
     ggml_half d;           // delta
diff --git a/ggml/src/ggml-cpu/CMakeLists.txt b/ggml/src/ggml-cpu/CMakeLists.txt
index beebc4760..869c7b238 100644
--- a/ggml/src/ggml-cpu/CMakeLists.txt
+++ b/ggml/src/ggml-cpu/CMakeLists.txt
@@ -485,6 +485,13 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
             if (GGML_RV_ZIHINTPAUSE)
                 string(APPEND MARCH_STR "_zihintpause")
             endif()
+            if (GGML_CPU_RISCV64_SPACEMIT)
+                # `xsmtvdotii' is only required for GCC >= 15.
+                if (CMAKE_C_COMPILER_ID STREQUAL "GNU" AND
+                    CMAKE_C_COMPILER_VERSION VERSION_GREATER_EQUAL 15)
+                    string(APPEND MARCH_STR "_xsmtvdotii")
+                endif()
+            endif()
 
             list(APPEND ARCH_FLAGS "-march=${MARCH_STR}" -mabi=lp64d)
         else()
@@ -571,13 +578,13 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
 
         # Fetch KleidiAI sources:
         include(FetchContent)
-        set(KLEIDIAI_COMMIT_TAG "v1.22.0")
-        set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/archive/refs/tags/${KLEIDIAI_COMMIT_TAG}.tar.gz")
-        set(KLEIDIAI_ARCHIVE_MD5  "54049037570ab0ee0a0d126b2ba5ece1")
+        set(KLEIDIAI_COMMIT_TAG "v1.24.0")
+        set(KLEIDIAI_DOWNLOAD_URL "https://github.com/ARM-software/kleidiai/releases/download/${KLEIDIAI_COMMIT_TAG}/kleidiai-${KLEIDIAI_COMMIT_TAG}-src.tar.gz")
+        set(KLEIDIAI_RELEASE_ARCHIVE_MD5  "2f02ebe29573d45813e671eb304f2a00")
 
         set(KLEIDIAI_FETCH_ARGS
             URL ${KLEIDIAI_DOWNLOAD_URL}
-            URL_HASH MD5=${KLEIDIAI_ARCHIVE_MD5}
+            URL_HASH MD5=${KLEIDIAI_RELEASE_ARCHIVE_MD5}
         )
         if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.24")
             list(APPEND KLEIDIAI_FETCH_ARGS DOWNLOAD_EXTRACT_TIMESTAMP NEW)
diff --git a/ggml/src/ggml-cpu/amx/amx.cpp b/ggml/src/ggml-cpu/amx/amx.cpp
index 9baf3e025..1118f7169 100644
--- a/ggml/src/ggml-cpu/amx/amx.cpp
+++ b/ggml/src/ggml-cpu/amx/amx.cpp
@@ -111,6 +111,8 @@ static ggml_backend_buffer_i ggml_backend_amx_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_amx_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_amx_buffer_set_tensor,
     /* .get_tensor      = */ nullptr,
+    /* .set_tensor_2d   = */ nullptr,
+    /* .get_tensor_2d   = */ nullptr,
     /* .cpy_tensor      = */ nullptr,
     /* .clear           = */ ggml_backend_amx_buffer_clear,
     /* .reset           = */ nullptr,
diff --git a/ggml/src/ggml-cpu/amx/mmq.cpp b/ggml/src/ggml-cpu/amx/mmq.cpp
index 93a6d397f..d9383a04b 100644
--- a/ggml/src/ggml-cpu/amx/mmq.cpp
+++ b/ggml/src/ggml-cpu/amx/mmq.cpp
@@ -2005,12 +2005,12 @@ void tinygemm_kernel_amx(int M, int N, int KB, const void * RESTRICT _A, const v
     const int lda = KB * sizeof(TA);
     //const int ldb = KB * sizeof(TB);
 
-    static thread_local packed_B_t Tile0[TILE_N * TILE_K];
-    static thread_local packed_B_t Tile1[TILE_N * TILE_K];
-    static thread_local int8_t Tile23[TILE_M * TILE_K];
+    alignas(64) static thread_local packed_B_t Tile0[TILE_N * TILE_K];
+    alignas(64) static thread_local packed_B_t Tile1[TILE_N * TILE_K];
+    alignas(64) static thread_local int8_t Tile23[TILE_M * TILE_K];
 
-    static thread_local int32_t TileC0[TILE_M * TILE_N * 4];
-    static thread_local int32_t TileC1[TILE_M * TILE_N * 4];
+    alignas(64) static thread_local int32_t TileC0[TILE_M * TILE_N * 4];
+    alignas(64) static thread_local int32_t TileC1[TILE_M * TILE_N * 4];
 
     // double buffering C to interleave avx512 and amx
     int32_t * C_cur = TileC0;
@@ -2187,21 +2187,21 @@ void tinygemm_kernel_amx(int M, int N, int KB, const void * RESTRICT _A, const v
     const int m1 = std::max(M - TILE_M, 0);
     //const int lda = KB * sizeof(TA);
 
-    static thread_local int8_t Tile0[TILE_N * TILE_K];
-    static thread_local int8_t Tile1[TILE_N * TILE_K];
-    static thread_local int8_t Tile23[TILE_M * TILE_K];
+    alignas(64) static thread_local int8_t Tile0[TILE_N * TILE_K];
+    alignas(64) static thread_local int8_t Tile1[TILE_N * TILE_K];
+    alignas(64) static thread_local int8_t Tile23[TILE_M * TILE_K];
 
     // mat mul result for each group
-    static thread_local int32_t Tile4[TILE_M * TILE_N];
-    static thread_local int32_t Tile5[TILE_M * TILE_N];
-    static thread_local int32_t Tile6[TILE_M * TILE_N];
-    static thread_local int32_t Tile7[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Tile4[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Tile5[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Tile6[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Tile7[TILE_M * TILE_N];
 
     // sum of each QK_K block, contains 8 groups, int32
-    static thread_local int32_t Sumi4[TILE_M * TILE_N];
-    static thread_local int32_t Sumi5[TILE_M * TILE_N];
-    static thread_local int32_t Sumi6[TILE_M * TILE_N];
-    static thread_local int32_t Sumi7[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Sumi4[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Sumi5[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Sumi6[TILE_M * TILE_N];
+    alignas(64) static thread_local int32_t Sumi7[TILE_M * TILE_N];
 
     const int k_group_size = std::is_same<TB, block_q6_K>::value ? 16 : 32;
     for (int i = 0; i < KB; ++i) {
diff --git a/ggml/src/ggml-cpu/arch-fallback.h b/ggml/src/ggml-cpu/arch-fallback.h
index 41da82931..595ded09f 100644
--- a/ggml/src/ggml-cpu/arch-fallback.h
+++ b/ggml/src/ggml-cpu/arch-fallback.h
@@ -16,6 +16,7 @@
 #define ggml_vec_dot_q8_0_q8_0_generic ggml_vec_dot_q8_0_q8_0
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -112,6 +113,7 @@
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
@@ -160,6 +162,7 @@
 #define ggml_vec_dot_iq1_m_q8_K_generic ggml_vec_dot_iq1_m_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
@@ -200,6 +203,7 @@
 #elif defined(__riscv)
 // quants.c
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x1_generic ggml_quantize_mat_q8_0_4x1
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
@@ -240,6 +244,7 @@
 // quants.c
 #define quantize_row_q8_K_generic quantize_row_q8_K
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 #define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
 #define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
 #define ggml_vec_dot_q2_K_q8_K_generic ggml_vec_dot_q2_K_q8_K
@@ -303,6 +308,7 @@
 #define ggml_vec_dot_iq4_xs_q8_K_generic ggml_vec_dot_iq4_xs_q8_K
 #define ggml_vec_dot_mxfp4_q8_0_generic ggml_vec_dot_mxfp4_q8_0
 #define ggml_vec_dot_nvfp4_q8_0_generic ggml_vec_dot_nvfp4_q8_0
+#define ggml_vec_dot_q1_0_q8_0_generic ggml_vec_dot_q1_0_q8_0
 // repack.cpp
 #define ggml_quantize_mat_q8_0_4x4_generic ggml_quantize_mat_q8_0_4x4
 #define ggml_quantize_mat_q8_0_4x8_generic ggml_quantize_mat_q8_0_4x8
diff --git a/ggml/src/ggml-cpu/arch/arm/quants.c b/ggml/src/ggml-cpu/arch/arm/quants.c
index 82b048bb3..fe6213329 100644
--- a/ggml/src/ggml-cpu/arch/arm/quants.c
+++ b/ggml/src/ggml-cpu/arch/arm/quants.c
@@ -137,6 +137,89 @@ void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in
 
 //===================================== Dot products =================================
 
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;  // 128
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+#if defined(__ARM_NEON)
+    float32x4_t sumv = vdupq_n_f32(0.0f);
+
+    for (int i = 0; i < nb; i++) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[i].d);
+
+        // Process 4 Q8_0 blocks (each has 32 elements)
+        for (int k = 0; k < 4; k++) {
+            const block_q8_0 * GGML_RESTRICT yb = &y[i * 4 + k];
+            const float d1 = GGML_CPU_FP16_TO_FP32(yb->d);
+
+            // Get the 4 bytes of bits for this Q8_0 block (32 bits = 4 bytes)
+            // Bits are at offset k*4 bytes in x[i].qs
+            const uint8_t * bits = &x[i].qs[k * 4];
+
+            // Load 32 int8 values from y
+            const int8x16_t y0 = vld1q_s8(yb->qs);
+            const int8x16_t y1 = vld1q_s8(yb->qs + 16);
+
+            // Byte 0-1: bits for y0[0..15]
+            const uint64_t expand0 = table_b2b_0[bits[0]];
+            const uint64_t expand1 = table_b2b_0[bits[1]];
+            // Byte 2-3: bits for y1[0..15]
+            const uint64_t expand2 = table_b2b_0[bits[2]];
+            const uint64_t expand3 = table_b2b_0[bits[3]];
+
+            // Build the sign vectors by reinterpreting the table values
+            uint8x8_t e0 = vcreate_u8(expand0);
+            uint8x8_t e1 = vcreate_u8(expand1);
+            uint8x8_t e2 = vcreate_u8(expand2);
+            uint8x8_t e3 = vcreate_u8(expand3);
+
+            // Shift right by 4 to get 0 or 1
+            int8x8_t s0 = vreinterpret_s8_u8(vshr_n_u8(e0, 4));
+            int8x8_t s1 = vreinterpret_s8_u8(vshr_n_u8(e1, 4));
+            int8x8_t s2 = vreinterpret_s8_u8(vshr_n_u8(e2, 4));
+            int8x8_t s3 = vreinterpret_s8_u8(vshr_n_u8(e3, 4));
+
+            // Convert 0/1 to -1/+1: sign = 2*val - 1
+            int8x8_t one = vdup_n_s8(1);
+            s0 = vsub_s8(vadd_s8(s0, s0), one);  // 2*s0 - 1
+            s1 = vsub_s8(vadd_s8(s1, s1), one);
+            s2 = vsub_s8(vadd_s8(s2, s2), one);
+            s3 = vsub_s8(vadd_s8(s3, s3), one);
+
+            // Combine into 16-element vectors
+            int8x16_t signs0 = vcombine_s8(s0, s1);
+            int8x16_t signs1 = vcombine_s8(s2, s3);
+
+            // Multiply signs with y values and accumulate
+            // dot(signs, y) where signs are +1/-1
+            int32x4_t p0 = ggml_vdotq_s32(vdupq_n_s32(0), signs0, y0);
+            int32x4_t p1 = ggml_vdotq_s32(p0, signs1, y1);
+
+            // Scale by d1 and accumulate
+            sumv = vmlaq_n_f32(sumv, vcvtq_f32_s32(p1), d0 * d1);
+        }
+    }
+
+    *s = vaddvq_f32(sumv);
+#else
+    UNUSED(nb);
+    UNUSED(x);
+    UNUSED(y);
+    ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
+
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -680,6 +763,7 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         const int8x16_t q4_lo_1 = ggml_vqtbl1q_s8(values, vandq_u8  (q4bits_1, m4b));
         const int8x16_t q4_hi_1 = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits_1, 4));
 
+#if defined(__ARM_FEATURE_DOTPROD)
         const int8x16_t q8_0a = vld1q_s8(y[2*ib].qs);
         const int8x16_t q8_0b = vld1q_s8(y[2*ib].qs + 16);
         const int8x16_t q8_lo_0 = vcombine_s8(vget_low_s8(q8_0a), vget_low_s8(q8_0b));
@@ -691,15 +775,40 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         const int8x16_t q8_hi_1 = vcombine_s8(vget_high_s8(q8_1a), vget_high_s8(q8_1b));
 
         const int32x4_t p0 = vaddq_s32(
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0),
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0));
+            vdotq_s32(vdupq_n_s32(0), q4_lo_0, q8_lo_0),
+            vdotq_s32(vdupq_n_s32(0), q4_hi_0, q8_hi_0));
         const int32x4_t p1 = vaddq_s32(
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1),
-            ggml_vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1));
+            vdotq_s32(vdupq_n_s32(0), q4_lo_1, q8_lo_1),
+            vdotq_s32(vdupq_n_s32(0), q4_hi_1, q8_hi_1));
 
-        const int32x4_t sums = vpaddq_s32(p0, p1);
+        const int32x4_t sumi = vpaddq_s32(p0, p1);
+#else
+        const int8x8_t q4_0_lo = vget_low_s8(q4_lo_0);
+        const int8x8_t q4_0_hi = vget_low_s8(q4_hi_0);
+        const int8x8_t q4_1_lo = vget_high_s8(q4_lo_0);
+        const int8x8_t q4_1_hi = vget_high_s8(q4_hi_0);
+        const int8x8_t q4_2_lo = vget_low_s8(q4_lo_1);
+        const int8x8_t q4_2_hi = vget_low_s8(q4_hi_1);
+        const int8x8_t q4_3_lo = vget_high_s8(q4_lo_1);
+        const int8x8_t q4_3_hi = vget_high_s8(q4_hi_1);
+
+        const int8x8_t q8_0_lo = vld1_s8(y[2*ib].qs);
+        const int8x8_t q8_0_hi = vld1_s8(y[2*ib].qs + 8);
+        const int8x8_t q8_1_lo = vld1_s8(y[2*ib].qs + 16);
+        const int8x8_t q8_1_hi = vld1_s8(y[2*ib].qs + 24);
+        const int8x8_t q8_2_lo = vld1_s8(y[2*ib+1].qs);
+        const int8x8_t q8_2_hi = vld1_s8(y[2*ib+1].qs + 8);
+        const int8x8_t q8_3_lo = vld1_s8(y[2*ib+1].qs + 16);
+        const int8x8_t q8_3_hi = vld1_s8(y[2*ib+1].qs + 24);
+
+        const int32x4_t sumi = (int32x4_t){
+            vaddvq_s32(ggml_nvfp4_dot8(q4_0_lo, q8_0_lo, q4_0_hi, q8_0_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_1_lo, q8_1_lo, q4_1_hi, q8_1_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_2_lo, q8_2_lo, q4_2_hi, q8_2_hi)),
+            vaddvq_s32(ggml_nvfp4_dot8(q4_3_lo, q8_3_lo, q4_3_hi, q8_3_hi)),
+        };
+#endif
 
-        // Decode 4 UE4M3 scales to f32 and multiply with q8 scales
         const float dy0 = GGML_CPU_FP16_TO_FP32(y[2*ib].d);
         const float dy1 = GGML_CPU_FP16_TO_FP32(y[2*ib+1].d);
         const float32x4_t nvsc = {
@@ -710,7 +819,7 @@ void ggml_vec_dot_nvfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         };
         const float32x4_t scales = vmulq_f32(nvsc, (float32x4_t){dy0, dy0, dy1, dy1});
 
-        acc = vfmaq_f32(acc, vcvtq_f32_s32(sums), scales);
+        acc = vfmaq_f32(acc, vcvtq_f32_s32(sumi), scales);
     }
     sumf = vaddvq_f32(acc);
 #else
diff --git a/ggml/src/ggml-cpu/arch/arm/repack.cpp b/ggml/src/ggml-cpu/arch/arm/repack.cpp
index 80ff5ce54..a75344430 100644
--- a/ggml/src/ggml-cpu/arch/arm/repack.cpp
+++ b/ggml/src/ggml-cpu/arch/arm/repack.cpp
@@ -5023,6 +5023,71 @@ void ggml_gemm_q8_0_4x8_q8_0(int                        n,
     UNUSED(ncols_interleaved);
     UNUSED(blocklen);
 
+#if defined(__aarch64__) && defined(__ARM_FEATURE_SVE) && defined(__ARM_FEATURE_MATMUL_INT8)
+    if (svcntb() * 8 == 256) {
+        const block_q8_0x4 * b_ptr_base = (const block_q8_0x4 *) vx;
+
+        static const uint32_t idx_arr[8] = {0, 1, 4, 5, 2, 3, 6, 7};
+        svuint32_t idx = svld1(svptrue_b32(), idx_arr);
+        static const uint32_t idx_arr1[8] = {0, 1, 2, 3, 1, 2, 3, 0};
+        svuint32_t idx_sc1 = svld1(svptrue_b32(), idx_arr1);
+        static const uint32_t idx_arr2[8] = {0, 1, 2, 3, 0, 1, 2, 3};
+        svuint32_t idx_sc2 = svld1(svptrue_b32(), idx_arr2);
+
+        for (int y = 0; y < nr; y += 4) {
+            const block_q8_0x4 * a_ptr_base = (const block_q8_0x4 *) vy + (y / 4) * nb;
+
+            for (int x = 0; x < nc; x += ncols_interleaved) {
+                const block_q8_0x4 * b_ptr = b_ptr_base + (x / 4) * nb;
+                const block_q8_0x4 * a_ptr = a_ptr_base;
+
+                svfloat32_t acc_f32_01 = svdup_f32(0);
+                svfloat32_t acc_f32_23 = svdup_f32(0);
+
+                for (int b = 0; b < nb; b++) {
+
+                    svint32_t acc_01 = svdup_s32(0);
+                    svint32_t acc_23 = svdup_s32(0);
+
+                    // Process 4 chunks of 8 positions each
+                    for (int chunk = 0; chunk < 4; chunk++) {
+                        svint8_t s_a01 = svld1rq_s8(svptrue_b8(), a_ptr->qs + chunk * 32);
+                        svint8_t s_a23 = svld1rq_s8(svptrue_b8(), a_ptr->qs + chunk * 32 + 16);
+                        svint8_t s_b0123 = svld1_s8(svptrue_b8(), b_ptr->qs + chunk * 32);
+
+                        acc_01 = svmmla_s32(acc_01, s_a01, s_b0123);
+                        acc_23 = svmmla_s32(acc_23, s_a23, s_b0123);
+                    }
+
+                    // Reorder outputs from 2×2 tiles to row-major
+                    // acc[01] = [r0c0, r0c1, r1c0, r1c1, r0c2, r0c3, r1c2, r1c3]
+                    // acc[23] = [r2c0, r2c1, r3c0, r3c1, r2c2, r2c3, r3c2, r3c3]
+
+                    svint32_t row01 = svtbl_s32(acc_01, idx);
+                    svint32_t row23 = svtbl_s32(acc_23, idx);
+
+                    svfloat16_t temp1 = svld1_f16(svptrue_pat_b16(SV_VL4), (const __fp16 *) a_ptr->d);
+                    svfloat16_t temp2 = svld1_f16(svptrue_pat_b16(SV_VL4), (const __fp16 *) b_ptr->d);
+                    svfloat32_t sv_a_d = svtbl_f32(svcvt_f32_f16_x(svptrue_b32(), svzip1_f16(temp1, temp1)), idx_sc1);
+                    svfloat32_t sv_b_d = svtbl_f32(svcvt_f32_f16_x(svptrue_b32(), svzip1_f16(temp2, temp2)), idx_sc2);
+
+                    acc_f32_01 = svmla_f32_x(svptrue_b32(), acc_f32_01, svcvt_f32_s32_x(svptrue_b32(), row01), svmul_lane_f32(sv_b_d, sv_a_d, 0));
+                    acc_f32_23 = svmla_f32_x(svptrue_b32(), acc_f32_23, svcvt_f32_s32_x(svptrue_b32(), row23), svmul_lane_f32(sv_b_d, sv_a_d, 2));
+                    a_ptr++;
+                    b_ptr++;
+                }
+
+                svbool_t pg4 = svptrue_pat_b32(SV_VL4);
+                svst1_f32(pg4, s + (y+0) * bs + x, acc_f32_01);
+                svst1_f32(pg4, s + (y+1) * bs + x, svext_f32(acc_f32_01, acc_f32_01, 4));
+                svst1_f32(pg4, s + (y+2) * bs + x, acc_f32_23);
+                svst1_f32(pg4, s + (y+3) * bs + x, svext_f32(acc_f32_23, acc_f32_23, 4));
+            }
+        }
+        return;
+    }
+#endif  // SVE compile-time end
+
 #if defined(__aarch64__) && defined(__ARM_NEON) && defined(__ARM_FEATURE_MATMUL_INT8)
     const block_q8_0x4 * b_ptr_base = (const block_q8_0x4 *) vx;
 
diff --git a/ggml/src/ggml-cpu/arch/loongarch/quants.c b/ggml/src/ggml-cpu/arch/loongarch/quants.c
index f531e916b..74e0c086c 100644
--- a/ggml/src/ggml-cpu/arch/loongarch/quants.c
+++ b/ggml/src/ggml-cpu/arch/loongarch/quants.c
@@ -2156,4 +2156,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/powerpc/quants.c b/ggml/src/ggml-cpu/arch/powerpc/quants.c
index d3dfd049e..644c380c7 100644
--- a/ggml/src/ggml-cpu/arch/powerpc/quants.c
+++ b/ggml/src/ggml-cpu/arch/powerpc/quants.c
@@ -2302,4 +2302,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/riscv/quants.c b/ggml/src/ggml-cpu/arch/riscv/quants.c
index d7e9ba463..d3278d648 100644
--- a/ggml/src/ggml-cpu/arch/riscv/quants.c
+++ b/ggml/src/ggml-cpu/arch/riscv/quants.c
@@ -15,6 +15,12 @@
 #include <stdlib.h> // for qsort
 #include <stdio.h>  // for GGML_ASSERT
 
+#ifdef _MSC_VER
+#define NOINLINE __declspec(noinline)
+#else
+#define NOINLINE __attribute__((__noinline__))
+#endif
+
 #define GROUP_MAX_EPS 1e-15f
 #define GROUP_MAX_EPS_IQ3_XXS 1e-8f
 #define GROUP_MAX_EPS_IQ2_S 1e-8f
@@ -117,7 +123,7 @@ void quantize_row_q8_K(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, in
     assert(k % QK_K == 0);
     size_t nb = k / QK_K;
 
-#if defined(__riscv_v_intrinsic)
+#if defined __riscv_v_intrinsic
     block_q8_K * y_blocks = (block_q8_K *)y;
     const size_t vlmax_f32m8 = __riscv_vsetvlmax_e32m8();
 
@@ -2053,7 +2059,119 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq1_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0;
+    for (int i = 0; i < nb; ++i) {
+        // Load qh once for the entire superblock.
+        vuint16m1_t qh = __riscv_vle16_v_u16m1(x[i].qh, 8);
+
+        // Calculate ls.
+        vuint16m1_t temp = __riscv_vsrl_vx_u16m1(qh, 12, 8);
+        temp = __riscv_vand_vx_u16m1(temp, 7, 8);
+        vint32m2_t ls = __riscv_vreinterpret_v_u32m2_i32m2(__riscv_vwmulu_vx_u32m2(temp, 2, 8));
+        ls = __riscv_vadd_vx_i32m2(ls, 1, 8);
+
+        // Calculate delta.
+        vbool16_t mask = __riscv_vmseq_vx_u16m1_b16(__riscv_vand_vx_u16m1(qh, 0x8000, 8), 0, 8);
+        vint32m2_t delta_neg = __riscv_vmv_v_x_i32m2(-1, 8);
+        vint32m2_t delta_pos = __riscv_vmv_v_x_i32m2(1, 8);
+        vint32m2_t delta = __riscv_vmerge_vvm_i32m2(delta_neg, delta_pos, mask, 8);
+
+        // Load qs.
+        vuint8m2_t qs = __riscv_vle8_v_u8m2(x[i].qs, 32);
+
+        // Prepare the indices.
+        const uint64_t shift = 0x0009000600030000;
+        vuint16m4_t qh_shift = __riscv_vreinterpret_v_u64m4_u16m4(__riscv_vmv_v_x_u64m4(shift, 8));
+        vuint16m4_t qh_gather_index = __riscv_vreinterpret_v_i16m4_u16m4(
+            __riscv_vdiv_vx_i16m4(__riscv_vreinterpret_v_u16m4_i16m4(__riscv_vid_v_u16m4(32)), 4, 32));
+        vuint16m4_t qh_ext = __riscv_vlmul_ext_v_u16m2_u16m4(__riscv_vlmul_ext_v_u16m1_u16m2(qh));
+        vuint16m4_t qh_index = __riscv_vrgather_vv_u16m4(qh_ext, qh_gather_index, 32);
+        qh_index = __riscv_vsrl_vv_u16m4(qh_index, qh_shift, 32);
+        qh_index = __riscv_vand_vx_u16m4(qh_index, 7, 32);
+        qh_index = __riscv_vsll_vx_u16m4(qh_index, 8, 32);
+        qh_index = __riscv_vor_vv_u16m4(qh_index, __riscv_vzext_vf2_u16m4(qs, 32), 32);
+        vuint16m4_t index = __riscv_vsll_vx_u16m4(qh_index, 3, 32);
+
+        // Final lsums.
+        int32_t lsums_s[8];
+        vint32m1_t one_scalar = __riscv_vmv_v_x_i32m1(0, 1);
+
+        // Sub-blocks 1-2
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 0);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[0], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[0] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[1] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 3-4
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 1);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[64], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[2] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[3] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 5-6
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 2);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[128], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[4] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[5] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        // Sub-blocks 7-8
+        {
+            vuint16m1_t grid_index0 = __riscv_vget_v_u16m4_u16m1(index, 3);
+            vint8m4_t grid0 = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vluxei16_v_i64m4((const int64_t*)iq1s_grid, grid_index0, 8));
+            vint8m4_t q80 = __riscv_vle8_v_i8m4(&y[i].qs[192], 64);
+            vint16m8_t lsum0 = __riscv_vwmul_vv_i16m8(grid0, q80, 128);
+            lsums_s[6] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 0), one_scalar, 32));
+            lsums_s[7] = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(lsum0, 1), one_scalar, 32));
+        }
+        __asm__ __volatile__("" ::: "memory");
+        vint32m2_t lsums = __riscv_vle32_v_i32m2(&lsums_s[0], 8);
+
+        // Calculate the bsums.
+        vint16m2_t bsums_0 = __riscv_vle16_v_i16m2(y[i].bsums, 16);
+        const vuint32m2_t bsums_i32 = __riscv_vreinterpret_v_u16m2_u32m2(__riscv_vreinterpret_v_i16m2_u16m2(bsums_0));
+        const vint16m1_t bsums_i32_0 = __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vnsrl_wx_u16m1(bsums_i32, 0, 8));
+        const vint16m1_t bsums_i32_1 = __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vnsrl_wx_u16m1(bsums_i32, 16, 8));
+        const vint32m2_t bsums = __riscv_vwadd_vv_i32m2(bsums_i32_0, bsums_i32_1, 8);
+
+        // Accumulation.
+        vint32m2_t sumi_v = __riscv_vmul_vv_i32m2(ls, lsums, 8);
+        vint32m2_t sumi1_v = __riscv_vmul_vv_i32m2(__riscv_vmul_vv_i32m2(ls, delta, 8), bsums, 8);
+
+        // Update sumf.
+        int sumi = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(sumi_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m2_i32m1(sumi1_v, __riscv_vmv_v_x_i32m1(0.0f, 1), 8));
+        sumf += GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d * (sumi + IQ1S_DELTA * sumi1);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2153,6 +2271,9 @@ static void ggml_vec_dot_iq1_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq1_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq1_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2166,7 +2287,174 @@ void ggml_vec_dot_iq1_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq1_m_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq1_m * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    iq1m_scale_t scale;
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint8_t  * qh = x[i].qh;
+        const uint16_t * sc = (const uint16_t *)x[i].scales;
+
+        scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+
+        // Accumulators.
+        vint32m4_t acc1 = __riscv_vmv_v_x_i32m4(0, 16);
+        vint32m4_t acc2 = __riscv_vmv_v_x_i32m4(0, 16);
+
+        // We process 8 16-element sub-blocks together.
+        #pragma GCC unroll 1
+        for (int ib = 0; ib < QK_K/128; ib++) {
+            // Load qh for 8 sub-blocks.
+            const vuint8mf2_t qh_8 = __riscv_vle8_v_u8mf2(qh, 8);
+            const vuint16m1_t qh_16_lo = __riscv_vzext_vf2_u16m1(qh_8, 8);
+            const vuint16m1_t qh_16_hi = __riscv_vsll_vx_u16m1(qh_16_lo, 8, 8);
+            const vuint16m2_t qhb = __riscv_vzext_vf2_u16m2(
+                __riscv_vreinterpret_v_u16m1_u8m1(__riscv_vor_vv_u16m1(qh_16_lo, qh_16_hi, 8)), 16);
+            qh += 8;
+
+            // Prepare grid indices.
+            const vuint16m2_t qsb = __riscv_vzext_vf2_u16m2(__riscv_vle8_v_u8m1(&qs[0], 16), 16);
+            const vuint16m2_t shift = __riscv_vreinterpret_v_u32m2_u16m2(__riscv_vmv_v_x_u32m2(0x00040008, 8));
+            vuint16m2_t index = __riscv_vor_vv_u16m2(qsb, __riscv_vand_vx_u16m2(__riscv_vsll_vv_u16m2(qhb, shift, 16), 0x700, 16), 16);
+            index = __riscv_vsll_vx_u16m2(index, 3, 16);
+            qs += 16;
+
+            // Prepare the deltas.
+            const vbool8_t mask = __riscv_vmsgtu_vx_u16m2_b8(
+                __riscv_vand_vv_u16m2(qhb, __riscv_vreinterpret_v_u32m2_u16m2(__riscv_vmv_v_x_u32m2(0x00800008, 8)), 16), 0, 16);
+            const vint64m8_t delta_pos = __riscv_vmv_v_x_i64m8(0x0101010101010101, 16);
+            const vint8m8_t delta = __riscv_vreinterpret_v_i64m8_i8m8(
+                __riscv_vmerge_vxm_i64m8(delta_pos, 0xffffffffffffffff, mask, 16));
+
+            // Sub-blocks 0-3
+            {
+                // Load the grid.
+                const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
+                    __riscv_vluxei16_v_u64m4(iq1s_grid, __riscv_vget_v_u16m2_u16m1(index, 0), 8)));
+
+                // Calculate the lsums.
+                //
+                // Sub-block 0, 1
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 0), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 0), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 0) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 3) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                __asm__ __volatile__("" ::: "memory");
+                // Sub-block 2, 3
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 1), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 1), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 6) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 9) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                sc += 1;
+            }
+            __asm__ __volatile__("" ::: "memory");
+            // Sub-blocks 4-7
+            {
+                // Load the grid.
+                const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
+                    __riscv_vluxei16_v_u64m4(iq1s_grid, __riscv_vget_v_u16m2_u16m1(index, 1), 8)));
+
+                // Calculate the lsums.
+                //
+                // Sub-block 4, 5
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 0), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 2), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 0) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 3) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                __asm__ __volatile__("" ::: "memory");
+                // Sub-block 6, 7
+                {
+                    // Load q8 for each sub-block.
+                    const vint8m2_t q8b = __riscv_vle8_v_i8m2(q8, 32);
+                    q8 += 32;
+
+                    // Calculate the lsums.
+                    const vint16m4_t lsum1 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m4_i8m2(iq1b, 1), q8b, 32);
+                    const vint16m4_t lsum2 = __riscv_vwmul_vv_i16m4(__riscv_vget_v_i8m8_i8m2(delta, 3), q8b, 32);
+
+                    // Prepare the scales.
+                    const int16_t ls_0 = 2*((sc[0] >> 6) & 0x7) + 1;
+                    const int16_t ls_1 = 2*((sc[0] >> 9) & 0x7) + 1;
+
+                    // Accumulate in acc0 and acc1 for each sub-block.
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_0, __riscv_vget_v_i16m4_i16m2(lsum1, 0), 16);
+                    acc1 = __riscv_vwmacc_vx_i32m4(acc1, ls_1, __riscv_vget_v_i16m4_i16m2(lsum1, 1), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_0, __riscv_vget_v_i16m4_i16m2(lsum2, 0), 16);
+                    acc2 = __riscv_vwmacc_vx_i32m4(acc2, ls_1, __riscv_vget_v_i16m4_i16m2(lsum2, 1), 16);
+                }
+                sc += 1;
+            }
+        }
+
+        // Reduce and accumulate in `sumf`.
+        vint32m1_t one = __riscv_vmv_v_x_i32m1(0, 1);
+        int sumi1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m4_i32m1(acc1, one, 16));
+        int sumi2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vredsum_vs_i32m4_i32m1(acc2, one, 16));
+        sumf += y[i].d * GGML_CPU_FP16_TO_FP32(scale.f16) * (sumi1 + IQ1M_DELTA * sumi2);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2193,9 +2481,10 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
         vint32m2_t acc1 = __riscv_vmv_v_x_i32m2(0, 16);
         vint32m2_t acc2 = __riscv_vmv_v_x_i32m2(0, 16);
 
-        // We process 4 sub-blocks together.
+        // We process 8 16-element sub-blocks together.
+        #pragma GCC unroll 1
         for (int ib = 0; ib < QK_K/128; ib++) {
-            // Load qh for 4 sub-blocks.
+            // Load qh for 8 sub-blocks.
             const vuint8mf4_t qh_8 = __riscv_vle8_v_u8mf4(qh, 8);
             const vuint16mf2_t qh_16_lo = __riscv_vzext_vf2_u16mf2(qh_8, 8);
             const vuint16mf2_t qh_16_hi = __riscv_vsll_vx_u16mf2(qh_16_lo, 8, 8);
@@ -2203,6 +2492,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
                 __riscv_vreinterpret_v_u16mf2_u8mf2(__riscv_vor_vv_u16mf2(qh_16_lo, qh_16_hi, 8)), 16);
             qh += 8;
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Prepare grid indices.
             const vuint16m1_t qsb = __riscv_vzext_vf2_u16m1(__riscv_vle8_v_u8mf2(&qs[0], 16), 16);
             const vuint16m1_t shift = __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00040008, 8));
@@ -2210,6 +2501,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             index = __riscv_vsll_vx_u16m1(index, 3, 16);
             qs += 16;
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Load the grid.
             const vint8m4_t iq1b = __riscv_vreinterpret_v_i64m4_i8m4(__riscv_vreinterpret_v_u64m4_i64m4(
                 __riscv_vluxei16_v_u64m4(iq1s_grid, index, 16)));
@@ -2218,9 +2511,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             const vbool16_t mask = __riscv_vmsgtu_vx_u16m1_b16(
                 __riscv_vand_vv_u16m1(qhb, __riscv_vreinterpret_v_u32m1_u16m1(__riscv_vmv_v_x_u32m1(0x00800008, 8)), 16), 0, 16);
             const vint64m4_t delta_pos = __riscv_vmv_v_x_i64m4(0x0101010101010101, 16);
-            const vint64m4_t delta_neg = __riscv_vmv_v_x_i64m4(0xffffffffffffffff, 16);
             const vint8m4_t delta = __riscv_vreinterpret_v_i64m4_i8m4(
-                __riscv_vmerge_vvm_i64m4(delta_pos, delta_neg, mask, 16));
+                __riscv_vmerge_vxm_i64m4(delta_pos, 0xffffffffffffffff, mask, 16));
 
             // Load q8 for sub-blocks.
             const vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
@@ -2261,6 +2553,8 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             acc1 = __riscv_vwmacc_vx_i32m2(acc1, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum1, 7), 16);
             acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_0, __riscv_vget_v_i16m8_i16m1(lsum2, 6), 16);
             acc2 = __riscv_vwmacc_vx_i32m2(acc2, ls_3_1, __riscv_vget_v_i16m8_i16m1(lsum2, 7), 16);
+
+            __asm__ __volatile__("" ::: "memory");
         }
 
         // Reduce and accumulate in `sumf`.
@@ -2277,6 +2571,9 @@ static void ggml_vec_dot_iq1_m_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq1_m_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq1_m_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq1_m_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2300,8 +2597,7 @@ static const uint8_t sign_bit_masks_arr[64] = {
     1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128, 1,2,4,8,16,32,64,128
 };
 
-
-static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
 
@@ -2392,7 +2688,7 @@ static void ggml_vec_dot_iq2_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t
     *s = 0.125f * sumf;
 }
 
-static void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
 
@@ -2513,7 +2809,7 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 #endif
 }
 
-#if defined(__riscv_v_intrinsic)
+#if defined __riscv_v_intrinsic
 static const int8_t keven_signs_q2xs[1024] = {
      1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1,  1,
      1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1, -1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1, -1,
@@ -2549,7 +2845,84 @@ static const int8_t keven_signs_q2xs[1024] = {
      1,  1, -1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1,  1,  1, -1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1, -1, -1, -1, -1,
 };
 
-static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_iq2_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint64_t * grid64  = (const uint64_t *)iq2xs_grid;
+
+    float sumf = 0.0f;
+#pragma GCC unroll 1
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * GGML_RESTRICT qs = x[i].qs;
+        const int8_t   * GGML_RESTRICT q8 = y[i].qs;
+        const uint8_t  * GGML_RESTRICT scales = x[i].scales;
+
+        int32_t sum_int = 0;
+
+        // Loop over 4 subblocks of 64 elements
+        for (int ib64 = 0; ib64 < QK_K / 64; ++ib64) {
+
+            // Load indices.
+            vuint16m1_t v_qs = __riscv_vle16_v_u16m1(qs, 8);
+            qs += 8;
+
+            // Prepare offsets
+            vuint16m1_t vidx_grid = __riscv_vsll_vx_u16m1(__riscv_vand_vx_u16m1(v_qs, 511, 8), 3, 8);
+            vuint16m1_t vidx_sign = __riscv_vsll_vx_u16m1(__riscv_vsrl_vx_u16m1(v_qs, 9, 8), 3, 8);
+
+            // load values and signs from the lookup tables
+            vuint64m4_t vq2_64 = __riscv_vluxei16_v_u64m4(grid64, vidx_grid, 8);
+            vuint64m4_t vs2_64 = __riscv_vluxei16_v_u64m4(signs64, vidx_sign, 8);
+            vint8m4_t q2u = __riscv_vreinterpret_v_u8m4_i8m4(__riscv_vreinterpret_v_u64m4_u8m4(vq2_64));
+            vint8m4_t q2s = __riscv_vreinterpret_v_u8m4_i8m4(__riscv_vreinterpret_v_u64m4_u8m4(vs2_64));
+            vint8m4_t q2_final = __riscv_vmul_vv_i8m4(q2u, q2s, 64);
+            asm volatile("" ::: "memory");
+            vint8m4_t q8v = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+
+            vint16m8_t prod = __riscv_vwmul_vv_i16m8(q2_final, q8v, 64);
+            asm volatile("" ::: "memory");
+            vint32m1_t zero_vec = __riscv_vmv_v_x_i32m1(0, 1);
+
+            int32_t sum0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 0), zero_vec, 16));
+
+            int32_t sum1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 1), zero_vec, 16));
+
+            int32_t sum2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 2), zero_vec, 16));
+
+            int32_t sum3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(
+                           __riscv_vget_v_i16m8_i16m2(prod, 3), zero_vec, 16));
+
+            const uint8_t scale_byte_1 = scales[0];
+            const uint8_t scale_byte_2 = scales[1];
+            scales += 2;
+
+            sum_int += sum0 * ((scale_byte_1 & 0x0F) * 2 + 1);
+            sum_int += sum1 * ((scale_byte_1 >> 4)   * 2 + 1);
+            sum_int += sum2 * ((scale_byte_2 & 0x0F) * 2 + 1);
+            sum_int += sum3 * ((scale_byte_2 >> 4)   * 2 + 1);
+        }
+
+        sumf += d * sum_int;
+    }
+    *s = 0.125f * sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2628,6 +3001,9 @@ static void ggml_vec_dot_iq2_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
       switch (__riscv_vlenb() * 8) {
+          case 128:
+              ggml_vec_dot_iq2_xs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+              break;
           case 256:
               ggml_vec_dot_iq2_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
               break;
@@ -2641,7 +3017,7 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2732,7 +3108,7 @@ static void ggml_vec_dot_iq2_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size
     *s = 0.125f * sumf;
 }
 
-static void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq2_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -2833,7 +3209,7 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
         case 128:
             ggml_vec_dot_iq2_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_iq2_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
@@ -2843,7 +3219,102 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq3_s_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+    const block_iq3_s * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    const uint32_t * grid32 = (const uint32_t *)iq3s_grid;
+
+    vuint8mf2_t v_id_8  = __riscv_vid_v_u8mf2(8);
+    vuint8m2_t  v_id_32 = __riscv_vid_v_u8m2(32);
+
+    // Keeping these in a tight scope to hint they're only needed for the mask computation.
+    vuint8m2_t v_sign_gather_indices, v_sign_masks;
+    {
+        vuint8m2_t v_shifts  = __riscv_vand_vx_u8m2(v_id_32, 7, 32);
+        vuint8m2_t v_one_32  = __riscv_vmv_v_x_u8m2(1, 32);
+        v_sign_gather_indices = __riscv_vsrl_vx_u8m2(v_id_32, 3, 32);
+        v_sign_masks          = __riscv_vsll_vv_u8m2(v_one_32, v_shifts, 32);
+    }
+
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d              = GGML_CPU_FP16_TO_FP32(x[i].d);
+        const float combined_scale = d * y[i].d;
+
+        const uint8_t * GGML_RESTRICT qs     = x[i].qs;
+        const uint8_t * GGML_RESTRICT qh     = x[i].qh;
+        const uint8_t * GGML_RESTRICT scales = x[i].scales;
+        const uint8_t * GGML_RESTRICT signs  = x[i].signs;
+        const int8_t  * GGML_RESTRICT q8     = y[i].qs;
+
+        float sum_block = 0.0f;
+
+        for (int ib = 0; ib < 8; ++ib) {
+
+            // Grid lookup
+            vuint8m2_t v_grid_u8;
+            {
+                vuint8mf2_t v_qs_u8 = __riscv_vle8_v_u8mf2(qs, 8);
+                qs += 8;
+
+                uint8_t     qh_val   = *qh++;
+                vuint8mf2_t v_qh_val = __riscv_vmv_v_x_u8mf2(qh_val, 8);
+                v_qh_val = __riscv_vsrl_vv_u8mf2(v_qh_val, v_id_8, 8);
+                v_qh_val = __riscv_vand_vx_u8mf2(v_qh_val, 1, 8);
+
+                vuint16m1_t v_qs_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qs_u8, 8);
+                v_qs_u16 = __riscv_vsll_vx_u16m1(v_qs_u16, 2, 8);
+
+                vuint16m1_t v_qh_u16 = __riscv_vwcvtu_x_x_v_u16m1(v_qh_val, 8);
+                v_qh_u16 = __riscv_vsll_vx_u16m1(v_qh_u16, 10, 8);
+
+                vuint16m1_t v_grid_offsets = __riscv_vor_vv_u16m1(v_qs_u16, v_qh_u16, 8);
+
+                vuint32m2_t v_grid_packed = __riscv_vluxei16_v_u32m2(grid32, v_grid_offsets, 8);
+                v_grid_u8 = __riscv_vreinterpret_v_u32m2_u8m2(v_grid_packed);
+            }
+            __asm__ volatile ("" ::: "memory");
+
+            //Sign application and dot product
+            int32_t s_val;
+            {
+                vuint8mf4_t v_signs_raw  = __riscv_vle8_v_u8mf4(signs, 4);
+                signs += 4;
+
+                vuint8m2_t v_signs_source = __riscv_vlmul_ext_v_u8mf4_u8m2(v_signs_raw);
+                vuint8m2_t v_signs_bcast  = __riscv_vrgather_vv_u8m2(v_signs_source, v_sign_gather_indices, 32);
+                vuint8m2_t v_sign_bits    = __riscv_vand_vv_u8m2(v_signs_bcast, v_sign_masks, 32);
+                vbool4_t   m_negative     = __riscv_vmsne_vx_u8m2_b4(v_sign_bits, 0, 32);
+
+                vint8m2_t v_q8        = __riscv_vle8_v_i8m2(q8, 32);
+                q8 += 32;
+
+                vint8m2_t  v_q8_signed = __riscv_vrsub_vx_i8m2_mu(m_negative, v_q8, v_q8, 0, 32);
+                vint16m4_t v_dot       = __riscv_vwmulsu_vv_i16m4(v_q8_signed, v_grid_u8, 32);
+
+                vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+                s_val = __riscv_vmv_x_s_i32m1_i32(
+                    __riscv_vwredsum_vs_i16m4_i32m1(v_dot, v_zero, 32));
+            }
+            __asm__ volatile ("" ::: "memory");
+            {
+                uint8_t sc_byte = scales[ib >> 1];
+                int sc_val = (ib & 1) ? (sc_byte >> 4) : (sc_byte & 0xF);
+                sc_val = sc_val * 2 + 1;
+                sum_block += (float)(s_val * sc_val);
+            }
+        }
+        sumf += sum_block * combined_scale;
+    }
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     UNUSED(nrc);
     UNUSED(bx);
@@ -2942,6 +3413,9 @@ static void ggml_vec_dot_iq3_s_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+             ggml_vec_dot_iq3_s_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq3_s_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -2955,7 +3429,100 @@ void ggml_vec_dot_iq3_s_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq3_xxs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    UNUSED(nrc); UNUSED(bx); UNUSED(by); UNUSED(bs);
+
+    const block_iq3_xxs * GGML_RESTRICT x = vx;
+    const block_q8_K    * GGML_RESTRICT y = vy;
+    const int nb = n / QK_K;
+
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+    const uint32_t * grid32  = (const uint32_t *)iq3xxs_grid;
+
+    // constants for unpacking logic
+    const uint32_t shifts_val[8] = {0, 7, 14, 21, 0, 7, 14, 21};
+    vuint32m2_t v_shifts = __riscv_vle32_v_u32m2(shifts_val, 8);
+
+    const uint32_t gather_idx_val[8] = {0, 0, 0, 0, 1, 1, 1, 1};
+    vuint32m2_t v_gather_idx = __riscv_vle32_v_u32m2(gather_idx_val, 8);
+
+    uint32_t aux32[2];
+    float sumf = 0.0f;
+
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_CPU_FP16_TO_FP32(x[i].d) * y[i].d;
+
+        const uint8_t * GGML_RESTRICT q3_indices = x[i].qs;
+        const uint8_t * GGML_RESTRICT metadata   = x[i].qs + QK_K/4;
+        const int8_t  * GGML_RESTRICT q8         = y[i].qs;
+
+        float block_sum = 0.0f;
+
+        // Process 64 weights per loop
+        for (int ib = 0; ib < QK_K / 64; ++ib) {
+
+            // load of metadata via memcpy
+            memcpy(aux32, metadata, 2 * sizeof(uint32_t));
+            metadata += 2 * sizeof(uint32_t);
+
+            vuint8m1_t v_q3_idx_u8 = __riscv_vle8_v_u8m1(q3_indices, 16);
+            q3_indices += 16;
+
+            vuint16m2_t v_q3_idx_u16 = __riscv_vwmulu_vx_u16m2(v_q3_idx_u8, 4, 16);
+
+            vuint32m4_t v_q3_magnitudes_u32 = __riscv_vluxei16_v_u32m4(grid32, v_q3_idx_u16, 16);
+
+            vint8m4_t v_q3_magnitudes = __riscv_vreinterpret_v_u8m4_i8m4(
+                                        __riscv_vreinterpret_v_u32m4_u8m4(v_q3_magnitudes_u32));
+
+            vuint32m2_t v_aux = __riscv_vle32_v_u32m2(aux32, 2);
+
+            vuint32m2_t v_aux_expanded = __riscv_vrgather_vv_u32m2(v_aux, v_gather_idx, 8);
+
+            vuint32m2_t v_s_vals_raw = __riscv_vand_vx_u32m2(
+                                       __riscv_vsrl_vv_u32m2(v_aux_expanded, v_shifts, 8), 127, 8);
+
+            vuint16m1_t sign_indices_byte_offset = __riscv_vsll_vx_u16m1(
+                                                   __riscv_vncvt_x_x_w_u16m1(v_s_vals_raw, 8), 3, 8);
+
+            vuint64m4_t v_s_vals_u64 = __riscv_vluxei16_v_u64m4(signs64, sign_indices_byte_offset, 8);
+
+            vint8m4_t v_s_vals = __riscv_vreinterpret_v_u8m4_i8m4(
+                                 __riscv_vreinterpret_v_u64m4_u8m4(v_s_vals_u64));
+
+            vint8m4_t v_q3_signed = __riscv_vmul_vv_i8m4(v_q3_magnitudes, v_s_vals, 64);
+            asm volatile("" ::: "memory");
+            vint8m4_t v_q8 = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+
+            vint16m8_t v_dot = __riscv_vwmul_vv_i16m8(v_q8, v_q3_signed, 64);
+
+            asm volatile("" ::: "memory");
+
+            vint16m4_t v_dot_1 = __riscv_vget_v_i16m8_i16m4(v_dot, 0);
+            vint16m4_t v_dot_2 = __riscv_vget_v_i16m8_i16m4(v_dot, 1);
+
+            vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, 1);
+
+            vint32m1_t v_sum_1 = __riscv_vwredsum_vs_i16m4_i32m1(v_dot_1, v_zero, 32);
+            vint32m1_t v_sum_2 = __riscv_vwredsum_vs_i16m4_i32m1(v_dot_2, v_zero, 32);
+
+            int32_t sum1_i = __riscv_vmv_x_s_i32m1_i32(v_sum_1);
+            int32_t sum2_i = __riscv_vmv_x_s_i32m1_i32(v_sum_2);
+
+            const float scale1_f = (float)(2 * (aux32[0] >> 28) + 1);
+            const float scale2_f = (float)(2 * (aux32[1] >> 28) + 1);
+
+            block_sum += sum1_i * scale1_f + sum2_i * scale2_f;
+        }
+
+        sumf += d * block_sum;
+    }
+    *s = 0.25f * sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -3052,6 +3619,9 @@ static void ggml_vec_dot_iq3_xxs_q8_K_vl256(int n, float * GGML_RESTRICT s, size
 void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq3_xxs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq3_xxs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3065,7 +3635,7 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3095,12 +3665,14 @@ static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_
         vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
 
         // Unpack the weight blocks.
-        vuint8m2_t iq4bits1;
-        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 0, __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16));
-        iq4bits1 = __riscv_vset_v_u8m1_u8m2(iq4bits1, 1, __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16));
-        vuint8m2_t iq4bits2;
-        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 0, __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16));
-        iq4bits2 = __riscv_vset_v_u8m1_u8m2(iq4bits2, 1, __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16));
+        vuint8m2_t iq4bits1 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(iq4_packed1, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(iq4_packed1, 4, 16)
+        );
+        vuint8m2_t iq4bits2 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(iq4_packed2, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(iq4_packed2, 4, 16)
+        );
 
         // Gather values from the lookup table.
         vint8m2_t iq4b1 = __riscv_vrgather_vv_i8m2(values, iq4bits1, 32);
@@ -3118,7 +3690,7 @@ static void ggml_vec_dot_iq4_nl_q8_0_vl128(int n, float * GGML_RESTRICT s, size_
     *s = sumf;
 }
 
-static void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_nl_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3182,7 +3754,7 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const v
         case 128:
             ggml_vec_dot_iq4_nl_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_iq4_nl_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
@@ -3192,7 +3764,73 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_iq4_xs_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+    assert(n % QK_K == 0);
+
+    const block_iq4_xs * GGML_RESTRICT x = vx;
+    const block_q8_K   * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16);
+    float sumf = 0;
+
+    for (int ibl = 0; ibl < nb; ++ibl) {
+        const int8_t  * q8 = y[ibl].qs;
+        const uint8_t * iq4 = x[ibl].qs;
+        uint16_t h = x[ibl].scales_h;
+
+        // We process 2 sub-blocks together.
+        int sumi1 = 0, sumi2 = 0;
+        #pragma GCC unroll 1
+        for (int ib = 0; ib < QK_K / 64; ++ib) {
+            // Load the packed weights.
+            const vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 32);
+            iq4 += 32;
+
+            // Unpack the weight blocks.
+            const vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 32);
+            const vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 32);
+            const vuint8m4_t iq4bits = __riscv_vcreate_v_u8m2_u8m4(iq4bits_lo, iq4bits_hi);
+            const vuint8m4_t iq4bits_reorder = __riscv_vcreate_v_u8m1_u8m4(
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 0), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 2), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 1), 16),
+                __riscv_vmv_v_v_u8m1(__riscv_vget_v_u8m4_u8m1(iq4bits, 3), 16)
+            );
+            const vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 64);
+
+            // Multiply with activations.
+            const vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 64);
+            q8 += 64;
+            const vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 64);
+
+            // Reduce separately.
+            const int acc0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            const int acc1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m4_i32m1(__riscv_vget_v_i16m8_i16m4(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32));
+
+            const int ls1 = ((x[ibl].scales_l[ib] & 0xf)  | ((h << 4) & 0x30)) - 32;
+            const int ls2 = ((x[ibl].scales_l[ib] >>  4)  | ((h << 2) & 0x30)) - 32;
+            h >>= 4;
+
+            sumi1 += acc0 * ls1;
+            sumi2 += acc1 * ls2;
+
+            __asm__ __volatile__("" ::: "memory");
+        }
+
+        sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3207,16 +3845,15 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 
     const vint8m4_t values = __riscv_vle8_v_i8m4(kvalues_iq4nl, 16);
     float sumf = 0;
-    int acc[4];
 
     // Indices for re-ordering IQ4 data.
-    uint64_t index[16] = {
+    uint16_t index[16] = {
         0, 1, 8, 9,
         2, 3, 10, 11,
         4, 5,12, 13,
         6, 7, 14, 15,
     };
-    vuint64m4_t i_vec = __riscv_vle64_v_u64m4(index, 16);
+    vuint16m1_t i_vec = __riscv_vle16_v_u16m1(index, 16);
 
     for (int ibl = 0; ibl < nb; ++ibl) {
         const int8_t  * q8 = y[ibl].qs;
@@ -3225,30 +3862,33 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 
         int sumi1 = 0, sumi2 = 0, sumi3 = 0, sumi4 = 0;
 
+        #pragma GCC unroll 1
         for (int ib = 0; ib < QK_K / 128; ++ib) {
             // Weights and activations.
             vuint8m2_t iq4_packed = __riscv_vle8_v_u8m2(iq4, 64);
-            vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
             iq4 += 64;
-            q8 += 128;
 
             // Unpack the weight blocks.
             vuint8m2_t iq4bits_lo = __riscv_vand_vx_u8m2(iq4_packed, 0xf, 64);
             vuint8m2_t iq4bits_hi = __riscv_vsrl_vx_u8m2(iq4_packed, 4, 64);
-            vuint8m4_t iq4bits;
-            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 0, iq4bits_lo);
-            iq4bits = __riscv_vset_v_u8m2_u8m4(iq4bits, 1, iq4bits_hi);
-            vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgather_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16));
+            vuint8m4_t iq4bits = __riscv_vcreate_v_u8m2_u8m4(iq4bits_lo, iq4bits_hi);
+            vuint8m4_t iq4bits_reorder = __riscv_vreinterpret_v_u64m4_u8m4(__riscv_vrgatherei16_vv_u64m4(__riscv_vreinterpret_v_u8m4_u64m4(iq4bits), i_vec, 16));
             vint8m4_t iq4b = __riscv_vrgather_vv_i8m4(values, iq4bits_reorder, 128);
 
+            __asm__ __volatile__("" ::: "memory");
+
             // Multiply with activations.
+            vint8m4_t q8b = __riscv_vle8_v_i8m4(q8, 128);
             vint16m8_t prod = __riscv_vwmul_vv_i16m8(iq4b, q8b, 128);
+            q8 += 128;
+
+            __asm__ __volatile__("" ::: "memory");
 
             // Reduce separately.
-            __riscv_vse32_v_i32m1(&acc[0],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[1],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[2],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
-            __riscv_vse32_v_i32m1(&acc[3],__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32), 1);
+            int acc0 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 0), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc1 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 1), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc2 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 2), __riscv_vmv_v_x_i32m1(0, 1), 32));
+            int acc3 = __riscv_vmv_x_s_i32m1_i32(__riscv_vwredsum_vs_i16m2_i32m1(__riscv_vget_v_i16m8_i16m2(prod, 3), __riscv_vmv_v_x_i32m1(0, 1), 32));
 
             int ls1 = ((x[ibl].scales_l[ib * 2 + 0] & 0xf)  | ((h << 4) & 0x30)) - 32;
             int ls2 = ((x[ibl].scales_l[ib * 2 + 0] >>  4)  | ((h << 2) & 0x30)) - 32;
@@ -3256,10 +3896,12 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
             int ls4 = ((x[ibl].scales_l[ib * 2 + 1] >>  4)  | ((h >> 2) & 0x30)) - 32;
             h >>= 8;
 
-            sumi1 += acc[0] * ls1;
-            sumi2 += acc[1] * ls2;
-            sumi3 += acc[2] * ls3;
-            sumi4 += acc[3] * ls4;
+            sumi1 += acc0 * ls1;
+            sumi2 += acc1 * ls2;
+            sumi3 += acc2 * ls3;
+            sumi4 += acc3 * ls4;
+
+            __asm__ __volatile__("" ::: "memory");
         }
 
         sumf += GGML_CPU_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2 + sumi3 + sumi4);
@@ -3272,6 +3914,9 @@ static void ggml_vec_dot_iq4_xs_q8_K_vl256(int n, float * GGML_RESTRICT s, size_
 void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_iq4_xs_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_iq4_xs_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3285,7 +3930,7 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_tq1_0_q8_K_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3301,8 +3946,107 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
     uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27};
 
     for (int i = 0; i < nb; i++) {
+        const uint8_t * GGML_RESTRICT tq = x[i].qs;
+        const int8_t  * GGML_RESTRICT q8 = y[i].qs;
+
         // First loop.
-        vint32m4_t suml1;
+        vint16m4_t suml1;
+        {
+            const int vl = 32;
+            const vuint8m2_t tqb = __riscv_vle8_v_u8m2(tq, vl);
+            tq += 32;
+
+            {
+                const vuint16m4_t tq0 = __riscv_vsrl_vx_u16m4(__riscv_vwmulu_vx_u16m4(tqb, 3, vl), 8, vl);
+                const vint16m4_t q80 = __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(q8, vl), vl);
+                suml1 = __riscv_vmul_vv_i16m4(__riscv_vreinterpret_v_u16m4_i16m4(__riscv_vsub_vx_u16m4(tq0, 1, vl)), q80, vl);
+                q8 += 32;
+            }
+
+            uint8_t pow3 = 3;
+            #pragma GCC unroll 1
+            for (int t = 0; t < 4; t++) {
+                const vuint16m4_t tqn = __riscv_vsrl_vx_u16m4(__riscv_vwmulu_vx_u16m4(__riscv_vmul_vx_u8m2(tqb, pow3, vl), 3, vl), 8, vl);
+                const vint16m4_t q8n = __riscv_vwcvt_x_x_v_i16m4(__riscv_vle8_v_i8m2(q8, vl), vl);
+                suml1 = __riscv_vmacc_vv_i16m4(suml1, __riscv_vreinterpret_v_u16m4_i16m4(__riscv_vsub_vx_u16m4(tqn, 1, vl)), q8n, vl);
+                pow3 *= 3;
+                q8 += 32;
+            }
+        }
+
+        // Second loop.
+        vint16m2_t suml2;
+        {
+            const int vl = 16;
+            const vuint8m1_t tqb = __riscv_vle8_v_u8m1(tq, vl);
+
+            {
+                const vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(tqb, 3, vl), 8, vl);
+                const vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+                suml2 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl);
+                q8 += 16;
+            }
+
+            uint8_t pow3 = 3;
+            #pragma GCC unroll 1
+            for (int t = 0; t < 4; t++) {
+                const vuint16m2_t tqn = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vx_u8m1(tqb, pow3, vl), 3, vl), 8, vl);
+                const vint16m2_t q8n = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+                suml2 = __riscv_vmacc_vv_i16m2(suml2, __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tqn, 1, vl)), q8n, vl);
+                pow3 *= 3;
+                q8 += 16;
+            }
+        }
+
+        // Third loop.
+        vint16m2_t suml3;
+        {
+            const int vl = 16;
+
+            uint32_t qh;
+            memcpy(&qh, &x[i].qh[0], 4);
+            // Prevent fusion with vmv.
+            __asm__ __volatile__("" : "+r"(qh));
+            const vuint8m1_t tqb = __riscv_vreinterpret_v_u32m1_u8m1(__riscv_vmv_v_x_u32m1(qh, vl / 4));
+
+            const vuint8m1_t p = __riscv_vle8_v_u8m1(pow, vl);
+
+            const vuint16m2_t tq0 = __riscv_vsrl_vx_u16m2(__riscv_vwmulu_vx_u16m2(__riscv_vmul_vv_u8m1(tqb, p, vl), 3, vl), 8, vl);
+
+            const vint16m2_t q80 = __riscv_vwcvt_x_x_v_i16m2(__riscv_vle8_v_i8m1(q8, vl), vl);
+
+            suml3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq0, 1, vl)), q80, vl);
+        }
+
+        vint16m2_t sumb = __riscv_vadd_vv_i16m2(__riscv_vget_v_i16m4_i16m2(suml1, 0), __riscv_vget_v_i16m4_i16m2(suml1, 1), 16);
+        sumb = __riscv_vadd_vv_i16m2(sumb, suml2, 16);
+        sumb = __riscv_vadd_vv_i16m2(sumb, suml3, 16);
+
+        vint32m1_t sum = __riscv_vwredsum_vs_i16m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
+        sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq1_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+
+    float sumf = 0.0f;
+    uint8_t pow[16] = {1, 1, 1, 1, 3, 3, 3, 3, 9, 9, 9, 9, 27, 27, 27, 27};
+
+    for (int i = 0; i < nb; i++) {
+        // First loop.
+        vint16m2_t suml1;
         {
             const int vl = 32;
             vuint8m1_t tq = __riscv_vle8_v_u8m1(x[i].qs, vl);
@@ -3325,13 +4069,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             vint16m2_t sum3 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq3, 1, vl)), q83, vl);
             vint16m2_t sum4 = __riscv_vmul_vv_i16m2(__riscv_vreinterpret_v_u16m2_i16m2(__riscv_vsub_vx_u16m2(tq4, 1, vl)), q84, vl);
 
-            vint32m4_t sumi0 = __riscv_vwadd_vv_i32m4(sum0, sum1, vl);
-            vint32m4_t sumi1 = __riscv_vwadd_vv_i32m4(sum2, sum3, vl);
-            suml1 = __riscv_vadd_vv_i32m4(__riscv_vwcvt_x_x_v_i32m4(sum4, vl), __riscv_vadd_vv_i32m4(sumi0, sumi1, vl), vl);
+            vint16m2_t sumi0 = __riscv_vadd_vv_i16m2(sum0, sum1, vl);
+            vint16m2_t sumi1 = __riscv_vadd_vv_i16m2(sum2, sum3, vl);
+            suml1 = __riscv_vadd_vv_i16m2(sum4, __riscv_vadd_vv_i16m2(sumi0, sumi1, vl), vl);
         }
 
         // Second loop.
-        vint32m2_t suml2;
+        vint16m1_t suml2;
         {
             const int vl = 16;
             vuint8mf2_t tq = __riscv_vle8_v_u8mf2(x[i].qs + 32, vl);
@@ -3354,13 +4098,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
             vint16m1_t sum3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq3, 1, vl)), q83, vl);
             vint16m1_t sum4 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq4, 1, vl)), q84, vl);
 
-            vint32m2_t sumi0 = __riscv_vwadd_vv_i32m2(sum0, sum1, vl);
-            vint32m2_t sumi1 = __riscv_vwadd_vv_i32m2(sum2, sum3, vl);
-            suml2 = __riscv_vadd_vv_i32m2(__riscv_vwcvt_x_x_v_i32m2(sum4, vl), __riscv_vadd_vv_i32m2(sumi0, sumi1, vl), vl);
+            vint16m1_t sumi0 = __riscv_vadd_vv_i16m1(sum0, sum1, vl);
+            vint16m1_t sumi1 = __riscv_vadd_vv_i16m1(sum2, sum3, vl);
+            suml2 = __riscv_vadd_vv_i16m1(sum4, __riscv_vadd_vv_i16m1(sumi0, sumi1, vl), vl);
         }
 
         // Third loop.
-        vint32m2_t suml3;
+        vint16m1_t suml3;
         {
             const int vl = 16;
 
@@ -3376,15 +4120,13 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 
             vint16m1_t q80 = __riscv_vwcvt_x_x_v_i16m1(__riscv_vle8_v_i8mf2(y[i].qs + 240, vl), vl);
 
-            vint16m1_t sum0 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
-            suml3 = __riscv_vwcvt_x_x_v_i32m2(sum0, vl);
+            suml3 = __riscv_vmul_vv_i16m1(__riscv_vreinterpret_v_u16m1_i16m1(__riscv_vsub_vx_u16m1(tq0, 1, vl)), q80, vl);
         }
 
-        vint32m2_t sumb = __riscv_vadd_vv_i32m2(__riscv_vget_v_i32m4_i32m2(suml1, 0), __riscv_vget_v_i32m4_i32m2(suml1, 1), 16);
-        sumb = __riscv_vadd_vv_i32m2(sumb, suml2, 16);
-        sumb = __riscv_vadd_vv_i32m2(sumb, suml3, 16);
+        vint16m1_t sumb = __riscv_vadd_vv_i16m1(__riscv_vget_v_i16m2_i16m1(suml1, 0), __riscv_vget_v_i16m2_i16m1(suml1, 1), 16);
+        sumb = __riscv_vadd_vv_i16m1(sumb, __riscv_vadd_vv_i16m1(suml2, suml3, 16), 16);
 
-        vint32m1_t sum = __riscv_vredsum_vs_i32m2_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
+        vint32m1_t sum = __riscv_vwredsum_vs_i16m1_i32m1(sumb, __riscv_vmv_v_x_i32m1(0, 1), 16);
         sumf += __riscv_vmv_x_s_i32m1_i32(sum) * y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
     }
 
@@ -3395,6 +4137,9 @@ static void ggml_vec_dot_tq1_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_tq1_0_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_tq1_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3408,7 +4153,89 @@ void ggml_vec_dot_tq1_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_tq2_0_q8_K_vl128(const int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    assert(n % QK_K == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_tq2_0 * GGML_RESTRICT x = vx;
+    const block_q8_K  * GGML_RESTRICT y = vy;
+
+    const int nb = n / QK_K;
+    float sumf = 0.0f;
+    for (int i = 0; i < nb; ++i) {
+        int32_t sumi = 0;
+
+        for (size_t j = 0; j < sizeof(x[0].qs); j += 32) {
+            const int8_t * py0 = &y[i].qs[j * 4 + 0 * 32];
+            const int8_t * py1 = &y[i].qs[j * 4 + 1 * 32];
+            const int8_t * py2 = &y[i].qs[j * 4 + 2 * 32];
+            const int8_t * py3 = &y[i].qs[j * 4 + 3 * 32];
+            const uint8_t* px  = &x[i].qs[j];
+
+            size_t vl = __riscv_vsetvl_e16m4(32);
+            vint16m4_t vacc16 = __riscv_vmv_v_x_i16m4(0, vl);
+
+            // Load Raw Packed elements
+            vl = __riscv_vsetvl_e8m2(32);
+            vuint8m2_t vx_u8 = __riscv_vle8_v_u8m2(px, vl);
+
+            // Process bits 1:0
+            {
+                // Unpack
+                vuint8m2_t t0 = __riscv_vand_vx_u8m2(vx_u8, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t0), 1, vl);
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py0, vl);
+                // Accumulate
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 3:2
+            {
+                vuint8m2_t t1 = __riscv_vsrl_vx_u8m2(vx_u8, 2, vl);
+                t1 = __riscv_vand_vx_u8m2(t1, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t1), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py1, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 5:4
+            {
+                vuint8m2_t t2 = __riscv_vsrl_vx_u8m2(vx_u8, 4, vl);
+                t2 = __riscv_vand_vx_u8m2(t2, 0x03, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t2), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py2, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            // Process bits 7:6
+            {
+                vuint8m2_t t3 = __riscv_vsrl_vx_u8m2(vx_u8, 6, vl);
+                vint8m2_t vq = __riscv_vsub_vx_i8m2(__riscv_vreinterpret_v_u8m2_i8m2(t3), 1, vl);
+
+                vint8m2_t vy = __riscv_vle8_v_i8m2(py3, vl);
+                vacc16 = __riscv_vwmacc_vv_i16m4(vacc16, vq, vy, vl);
+            }
+            __asm__ volatile("" ::: "memory");
+            vl = __riscv_vsetvl_e16m4(32);
+            vint32m1_t vzero32 = __riscv_vmv_v_x_i32m1(0, 1);
+            vint32m1_t vred32 = __riscv_vwredsum_vs_i16m4_i32m1(vacc16, vzero32, vl);
+            sumi += __riscv_vmv_x_s_i32m1_i32(vred32);
+        }
+
+        const float d = y[i].d * GGML_CPU_FP16_TO_FP32(x[i].d);
+        sumf += (float)sumi * d;
+    }
+
+    *s = sumf;
+}
+
+static NOINLINE void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(n % QK_K == 0);
     assert(nrc == 1);
     UNUSED(nrc);
@@ -3483,6 +4310,9 @@ static void ggml_vec_dot_tq2_0_q8_K_vl256(int n, float * GGML_RESTRICT s, size_t
 void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
 #if defined __riscv_v_intrinsic
     switch (__riscv_vlenb() * 8) {
+        case 128:
+            ggml_vec_dot_tq2_0_q8_K_vl128(n, s, bs, vx, bx, vy, by, nrc);
+            break;
         case 256:
             ggml_vec_dot_tq2_0_q8_K_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
@@ -3496,7 +4326,7 @@ void ggml_vec_dot_tq2_0_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const vo
 }
 
 #if defined __riscv_v_intrinsic
-static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3526,12 +4356,14 @@ static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t
         vint8m2_t q8b2 = __riscv_vle8_v_i8m2(y[ib + 1].qs, 32);
 
         // Unpack the weight blocks.
-        vuint8m2_t mxbits1;
-        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 0, __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16));
-        mxbits1 = __riscv_vset_v_u8m1_u8m2(mxbits1, 1, __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16));
-        vuint8m2_t mxbits2;
-        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 0, __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16));
-        mxbits2 = __riscv_vset_v_u8m1_u8m2(mxbits2, 1, __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16));
+        vuint8m2_t mxbits1 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(mx_packed1, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(mx_packed1, 4, 16)
+        );
+        vuint8m2_t mxbits2 = __riscv_vcreate_v_u8m1_u8m2(
+            __riscv_vand_vx_u8m1(mx_packed2, 0xf, 16),
+            __riscv_vsrl_vx_u8m1(mx_packed2, 4, 16)
+        );
 
         // Gather values from the lookup table.
         vint8m2_t mxb1 = __riscv_vrgather_vv_i8m2(values, mxbits1, 32);
@@ -3549,7 +4381,7 @@ static void ggml_vec_dot_mxfp4_q8_0_vl128(int n, float * GGML_RESTRICT s, size_t
     *s = sumf;
 }
 
-static void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+static NOINLINE void ggml_vec_dot_mxfp4_q8_0_vl256(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     assert(nrc == 1);
     UNUSED(nrc);
     UNUSED(bx);
@@ -3613,7 +4445,7 @@ void ggml_vec_dot_mxfp4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const vo
         case 128:
             ggml_vec_dot_mxfp4_q8_0_vl128(n, s, bs, vx, bx, vy, by, nrc);
             break;
-        default:
+        default: // 256 and above
             ggml_vec_dot_mxfp4_q8_0_vl256(n, s, bs, vx, bx, vy, by, nrc);
             break;
     }
diff --git a/ggml/src/ggml-cpu/arch/s390/quants.c b/ggml/src/ggml-cpu/arch/s390/quants.c
index 34184ed85..500857579 100644
--- a/ggml/src/ggml-cpu/arch/s390/quants.c
+++ b/ggml/src/ggml-cpu/arch/s390/quants.c
@@ -1463,4 +1463,3 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const v
     ggml_vec_dot_iq4_xs_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/wasm/quants.c b/ggml/src/ggml-cpu/arch/wasm/quants.c
index 74a359e6d..648c6fcab 100644
--- a/ggml/src/ggml-cpu/arch/wasm/quants.c
+++ b/ggml/src/ggml-cpu/arch/wasm/quants.c
@@ -1218,4 +1218,3 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
     ggml_vec_dot_q6_K_q8_K_generic(n, s, bs, vx, bx, vy, by, nrc);
 #endif
 }
-
diff --git a/ggml/src/ggml-cpu/arch/x86/quants.c b/ggml/src/ggml-cpu/arch/x86/quants.c
index 74d699f63..94b19b82b 100644
--- a/ggml/src/ggml-cpu/arch/x86/quants.c
+++ b/ggml/src/ggml-cpu/arch/x86/quants.c
@@ -274,6 +274,18 @@ static inline __m256 quad_mx_delta_float(const uint8_t x0, const float y0, const
 }
 #endif
 #elif defined(__SSSE3__)
+static inline __m128i bytes_from_bits_16(const uint8_t * x) {
+    uint16_t x16;
+    memcpy(&x16, x, sizeof(uint16_t));
+
+    const __m128i shuf_mask = _mm_set_epi64x(0x0101010101010101, 0x0000000000000000);
+    __m128i bytes = _mm_shuffle_epi8(_mm_set1_epi16((short) x16), shuf_mask);
+    const __m128i bit_mask = _mm_set_epi64x(0x7fbfdfeff7fbfdfe, 0x7fbfdfeff7fbfdfe);
+    bytes = _mm_or_si128(bytes, bit_mask);
+
+    return _mm_cmpeq_epi8(bytes, _mm_set1_epi64x(-1));
+}
+
 // horizontally add 4x4 floats
 static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128 c, const __m128 d) {
     __m128 res_0 =_mm_hadd_ps(a, b);
@@ -540,6 +552,152 @@ static inline __m128i get_scale_shuffle(int i) {
 }
 #endif
 
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+#if defined(__AVX2__)
+    const __m256i ones_8 = _mm256_set1_epi8(1);
+    const __m256i ones_16 = _mm256_set1_epi16(1);
+    const __m256i byte_shuf = _mm256_setr_epi8(
+            0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,
+            2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3);
+    const __m256i bit_masks = _mm256_setr_epi8(
+            1, 2, 4, 8, 16, 32, 64, (char) -128, 1, 2, 4, 8, 16, 32, 64, (char) -128,
+            1, 2, 4, 8, 16, 32, 64, (char) -128, 1, 2, 4, 8, 16, 32, 64, (char) -128);
+    const __m256i zero = _mm256_setzero_si256();
+    __m256 acc = _mm256_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d);
+        const uint32_t * GGML_RESTRICT qs32 = (const uint32_t *) x[ib].qs;
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+
+        __m256 acc_block;
+        {
+            const __m256i qy = _mm256_loadu_si256((const __m256i *) y_ptr[0].qs);
+            const __m256i sm = _mm256_cmpeq_epi8(
+                    _mm256_and_si256(_mm256_shuffle_epi8(_mm256_set1_epi32((int) qs32[0]), byte_shuf), bit_masks), zero);
+            const __m256i sy = _mm256_sub_epi8(_mm256_xor_si256(qy, sm), sm);
+            const __m256i s32 = _mm256_madd_epi16(_mm256_maddubs_epi16(ones_8, sy), ones_16);
+            acc_block = _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[0].d)), _mm256_cvtepi32_ps(s32));
+        }
+        for (int K = 1; K < 4; ++K) {
+            const __m256i qy = _mm256_loadu_si256((const __m256i *) y_ptr[K].qs);
+            const __m256i sm = _mm256_cmpeq_epi8(
+                    _mm256_and_si256(_mm256_shuffle_epi8(_mm256_set1_epi32((int) qs32[K]), byte_shuf), bit_masks), zero);
+            const __m256i sy = _mm256_sub_epi8(_mm256_xor_si256(qy, sm), sm);
+            const __m256i s32 = _mm256_madd_epi16(_mm256_maddubs_epi16(ones_8, sy), ones_16);
+            acc_block = _mm256_fmadd_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[K].d)), _mm256_cvtepi32_ps(s32), acc_block);
+        }
+        acc = _mm256_fmadd_ps(_mm256_set1_ps(d0), acc_block, acc);
+    }
+
+    *s = hsum_float_8(acc);
+#elif defined(__AVX__)
+    const __m128i ones_8 = _mm_set1_epi8(1);
+    const __m128i ones_16 = _mm_set1_epi16(1);
+    const __m128i zero = _mm_setzero_si128();
+    __m256 acc = _mm256_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[ib].d);
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+        __m256 acc_block;
+        {
+            const __m256i bit_mask = bytes_from_bits_32(&x[ib].qs[0]);
+            const __m128i bit_mask_0 = _mm256_castsi256_si128(bit_mask);
+            const __m128i bit_mask_1 = _mm256_extractf128_si256(bit_mask, 1);
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[0].qs[0]);
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[0].qs[16]);
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero);
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero);
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0);
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1);
+            const __m128i sum16_0 = _mm_maddubs_epi16(ones_8, sy_0);
+            const __m128i sum16_1 = _mm_maddubs_epi16(ones_8, sy_1);
+            const __m128i sum32_0 = _mm_madd_epi16(sum16_0, ones_16);
+            const __m128i sum32_1 = _mm_madd_epi16(sum16_1, ones_16);
+            const __m256 q = _mm256_cvtepi32_ps(MM256_SET_M128I(sum32_1, sum32_0));
+            acc_block = _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[0].d)), q);
+        }
+        for(int K = 1; K < 4; ++K) {
+            const __m256i bit_mask = bytes_from_bits_32(&x[ib].qs[(K) * 4]);
+            const __m128i bit_mask_0 = _mm256_castsi256_si128(bit_mask);
+            const __m128i bit_mask_1 = _mm256_extractf128_si256(bit_mask, 1);
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[(K)].qs[0]);
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[(K)].qs[16]);
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero);
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero);
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0);
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1);
+            const __m128i sum16_0 = _mm_maddubs_epi16(ones_8, sy_0);
+            const __m128i sum16_1 = _mm_maddubs_epi16(ones_8, sy_1);
+            const __m128i sum32_0 = _mm_madd_epi16(sum16_0, ones_16);
+            const __m128i sum32_1 = _mm_madd_epi16(sum16_1, ones_16);
+            const __m256 q = _mm256_cvtepi32_ps(MM256_SET_M128I(sum32_1, sum32_0));
+            acc_block = _mm256_add_ps(acc_block, _mm256_mul_ps(_mm256_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[(K)].d)), q));
+        }
+#undef Q1_AVX_BLOCK
+
+        acc = _mm256_add_ps(acc, _mm256_mul_ps(_mm256_set1_ps(d0), acc_block));
+    }
+
+    *s = hsum_float_8(acc);
+#elif defined(__SSSE3__)
+    const __m128i ones_8 = _mm_set1_epi8(1);
+    const __m128i ones_16 = _mm_set1_epi16(1);
+    const __m128i zero = _mm_setzero_si128();
+    __m128 acc_0 = _mm_setzero_ps();
+    __m128 acc_1 = _mm_setzero_ps();
+    __m128 acc_2 = _mm_setzero_ps();
+    __m128 acc_3 = _mm_setzero_ps();
+
+    for (int ib = 0; ib < nb; ++ib) {
+        const __m128 d0 = _mm_set1_ps(GGML_CPU_FP16_TO_FP32(x[ib].d));
+        const block_q8_0 * GGML_RESTRICT y_ptr = &y[ib * 4];
+
+#define Q1_SSSE3_BLOCK(QS_OFF, Y_IDX, ACC) \
+        { \
+            const __m128i bit_mask_0 = bytes_from_bits_16(&x[ib].qs[(QS_OFF) + 0]); \
+            const __m128i bit_mask_1 = bytes_from_bits_16(&x[ib].qs[(QS_OFF) + 2]); \
+            const __m128i qy_0 = _mm_loadu_si128((const __m128i *) &y_ptr[(Y_IDX)].qs[0]); \
+            const __m128i qy_1 = _mm_loadu_si128((const __m128i *) &y_ptr[(Y_IDX)].qs[16]); \
+            const __m128i sign_mask_0 = _mm_cmpeq_epi8(bit_mask_0, zero); \
+            const __m128i sign_mask_1 = _mm_cmpeq_epi8(bit_mask_1, zero); \
+            const __m128i sy_0 = _mm_sub_epi8(_mm_xor_si128(qy_0, sign_mask_0), sign_mask_0); \
+            const __m128i sy_1 = _mm_sub_epi8(_mm_xor_si128(qy_1, sign_mask_1), sign_mask_1); \
+            const __m128i sum_0 = _mm_madd_epi16(_mm_maddubs_epi16(ones_8, sy_0), ones_16); \
+            const __m128i sum_1 = _mm_madd_epi16(_mm_maddubs_epi16(ones_8, sy_1), ones_16); \
+            const __m128 q = _mm_cvtepi32_ps(_mm_add_epi32(sum_0, sum_1)); \
+            (ACC) = _mm_add_ps((ACC), _mm_mul_ps(_mm_mul_ps(d0, _mm_set1_ps(GGML_CPU_FP16_TO_FP32(y_ptr[(Y_IDX)].d))), q)); \
+        }
+        Q1_SSSE3_BLOCK(0,  0, acc_0)
+        Q1_SSSE3_BLOCK(4,  1, acc_1)
+        Q1_SSSE3_BLOCK(8,  2, acc_2)
+        Q1_SSSE3_BLOCK(12, 3, acc_3)
+#undef Q1_SSSE3_BLOCK
+    }
+
+    *s = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3);
+#else
+    UNUSED(nb);
+    UNUSED(x);
+    UNUSED(y);
+    ggml_vec_dot_q1_0_q8_0_generic(n, s, bs, vx, bx, vy, by, nrc);
+#endif
+}
+
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
@@ -2142,9 +2300,8 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
 
 #if defined __AVX2__
 
-    const __m256i m4 = _mm256_set1_epi8(0xF);
-    const __m256i m2 = _mm256_set1_epi8(3);
-    const __m256i m32s = _mm256_set1_epi8(32);
+    const __m256i m3 = _mm256_set1_epi8(3);
+    const __m256i m15 = _mm256_set1_epi8(15);
 
     __m256 acc = _mm256_setzero_ps();
 
@@ -2156,53 +2313,45 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
         const uint8_t * GGML_RESTRICT qh = x[i].qh;
         const int8_t  * GGML_RESTRICT q8 = y[i].qs;
 
+        const __m256i q8sums = _mm256_loadu_si256((const __m256i*)y[i].bsums);
         const __m128i scales = _mm_loadu_si128((const __m128i*)x[i].scales);
+        const __m256i scales_16 = _mm256_cvtepi8_epi16(scales);
+        const __m256i q8sclsub = _mm256_slli_epi32(_mm256_madd_epi16(q8sums, scales_16), 5);
 
         __m256i sumi = _mm256_setzero_si256();
 
         int is = 0;
 
         for (int j = 0; j < QK_K/128; ++j) {
-
-            const __m128i scale_0 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 0));
-            const __m128i scale_1 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 1));
-            const __m128i scale_2 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 2));
-            const __m128i scale_3 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 3));
-            is += 4;
-
             const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4); q4 += 32;
             const __m256i q4bits2 = _mm256_loadu_si256((const __m256i*)q4); q4 += 32;
             const __m256i q4bitsH = _mm256_loadu_si256((const __m256i*)qh); qh += 32;
 
-            const __m256i q4h_0 = _mm256_slli_epi16(_mm256_and_si256(q4bitsH, m2), 4);
-            const __m256i q4h_1 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 2), m2), 4);
-            const __m256i q4h_2 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 4), m2), 4);
-            const __m256i q4h_3 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 6), m2), 4);
+            const __m256i q4h_0 = _mm256_slli_epi16(_mm256_and_si256(q4bitsH, m3), 4);
+            const __m256i q4h_1 = _mm256_slli_epi16(_mm256_and_si256(q4bitsH, _mm256_set1_epi8(12)), 2);
+            const __m256i q4h_2 = _mm256_and_si256(q4bitsH, _mm256_set1_epi8(48));
+            const __m256i q4h_3 = _mm256_srli_epi16(_mm256_and_si256(q4bitsH, _mm256_set1_epi8(-64)), 2);
 
-            const __m256i q4_0 = _mm256_or_si256(_mm256_and_si256(q4bits1, m4), q4h_0);
-            const __m256i q4_1 = _mm256_or_si256(_mm256_and_si256(q4bits2, m4), q4h_1);
-            const __m256i q4_2 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits1, 4), m4), q4h_2);
-            const __m256i q4_3 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits2, 4), m4), q4h_3);
+            const __m256i q4_0 = _mm256_or_si256(_mm256_and_si256(q4bits1, m15), q4h_0);
+            const __m256i q4_1 = _mm256_or_si256(_mm256_and_si256(q4bits2, m15), q4h_1);
+            const __m256i q4_2 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits1, 4), m15), q4h_2);
+            const __m256i q4_3 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits2, 4), m15), q4h_3);
 
             const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
             const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
             const __m256i q8_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
             const __m256i q8_3 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
 
-            __m256i q8s_0 = _mm256_maddubs_epi16(m32s, q8_0);
-            __m256i q8s_1 = _mm256_maddubs_epi16(m32s, q8_1);
-            __m256i q8s_2 = _mm256_maddubs_epi16(m32s, q8_2);
-            __m256i q8s_3 = _mm256_maddubs_epi16(m32s, q8_3);
-
             __m256i p16_0 = _mm256_maddubs_epi16(q4_0, q8_0);
             __m256i p16_1 = _mm256_maddubs_epi16(q4_1, q8_1);
             __m256i p16_2 = _mm256_maddubs_epi16(q4_2, q8_2);
             __m256i p16_3 = _mm256_maddubs_epi16(q4_3, q8_3);
 
-            p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
-            p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
-            p16_2 = _mm256_sub_epi16(p16_2, q8s_2);
-            p16_3 = _mm256_sub_epi16(p16_3, q8s_3);
+            const __m128i scale_0 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 0));
+            const __m128i scale_1 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 1));
+            const __m128i scale_2 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 2));
+            const __m128i scale_3 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 3));
+            is += 4;
 
             p16_0 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_0), p16_0);
             p16_1 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_1), p16_1);
@@ -2214,6 +2363,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * GGML_RESTRICT s, size_t bs, const voi
 
         }
 
+        sumi = _mm256_sub_epi32(sumi, q8sclsub);
         acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
     }
 
diff --git a/ggml/src/ggml-cpu/ggml-cpu-impl.h b/ggml/src/ggml-cpu/ggml-cpu-impl.h
index 88a9c9ec0..5d1ca5ffc 100644
--- a/ggml/src/ggml-cpu/ggml-cpu-impl.h
+++ b/ggml/src/ggml-cpu/ggml-cpu-impl.h
@@ -306,6 +306,7 @@ inline static uint8x16_t ggml_vqtbl1q_u8(uint8x16_t a, uint8x16_t b) {
 
 #if !defined(__ARM_FEATURE_DOTPROD)
 
+// NOTE: this fallback produces the same total sum as native vdotq_s32 but with different per-lane grouping — do not use when individual lane values matter.
 inline static int32x4_t ggml_vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b) {
     const int16x8_t p0 = vmull_s8(vget_low_s8 (a), vget_low_s8 (b));
     const int16x8_t p1 = vmull_s8(vget_high_s8(a), vget_high_s8(b));
@@ -319,6 +320,15 @@ inline static int32x4_t ggml_vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b)
 
 #endif // !defined(__ARM_FEATURE_DOTPROD)
 
+static inline int32x4_t ggml_nvfp4_dot8(const int8x8_t q4_lo, const int8x8_t q8_lo,
+                                         const int8x8_t q4_hi, const int8x8_t q8_hi) {
+    const int16x8_t p_lo = vmull_s8(q4_lo, q8_lo);
+    const int16x8_t p_hi = vmull_s8(q4_hi, q8_hi);
+    const int32x4_t sum_lo = vpaddlq_s16(p_lo);
+    const int32x4_t sum_hi = vpaddlq_s16(p_hi);
+    return vaddq_s32(sum_lo, sum_hi);
+}
+
 #endif // defined(__ARM_NEON)
 
 #ifdef __wasm_simd128__
diff --git a/ggml/src/ggml-cpu/ggml-cpu.c b/ggml/src/ggml-cpu/ggml-cpu.c
index 963449a4c..f1a032367 100644
--- a/ggml/src/ggml-cpu/ggml-cpu.c
+++ b/ggml/src/ggml-cpu/ggml-cpu.c
@@ -235,6 +235,12 @@ static const struct ggml_type_traits_cpu type_traits_cpu[GGML_TYPE_COUNT] = {
         .vec_dot_type             = GGML_TYPE_F16,
         .nrows                    = 1,
     },
+    [GGML_TYPE_Q1_0] = {
+        .from_float               = quantize_row_q1_0,
+        .vec_dot                  = ggml_vec_dot_q1_0_q8_0,
+        .vec_dot_type             = GGML_TYPE_Q8_0,
+        .nrows                    = 1,
+    },
     [GGML_TYPE_Q4_0] = {
         .from_float               = quantize_row_q4_0,
         .vec_dot                  = ggml_vec_dot_q4_0_q8_0,
@@ -1287,6 +1293,12 @@ void ggml_compute_forward_mul_mat(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
+    const int32_t hint = ggml_get_op_params_i32(dst, 1);
+    if (hint == GGML_HINT_SRC0_IS_HADAMARD && !params->use_ref) {
+        ggml_compute_forward_fwht(params, dst);
+        return;
+    }
+
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -3010,6 +3022,45 @@ struct ggml_cplan ggml_graph_plan(
     return cplan;
 }
 
+
+// Try to fuse the current node with subsequent nodes for better performance.
+// Returns the number of nodes skipped by fusion (>=1), or 0 if no fusion was applied.
+static bool ggml_cpu_disable_fusion = false;  // initialized once in ggml_cpu_init(), read-only afterwards
+
+static int ggml_cpu_try_fuse_ops(
+        const struct ggml_cgraph * cgraph,
+        const int node_n,
+        const struct ggml_compute_params * params,
+        const struct ggml_cplan * cplan) {
+
+    if (ggml_cpu_disable_fusion || cplan->use_ref) {
+        return 0;
+    }
+
+    struct ggml_tensor * node = cgraph->nodes[node_n];
+
+    if (node->op == GGML_OP_RMS_NORM) {
+        // RMS_NORM + MUL fusion
+        const enum ggml_op fuse_ops[] = { GGML_OP_RMS_NORM, GGML_OP_MUL };
+        if (ggml_can_fuse(cgraph, node_n, fuse_ops, 2)) {
+            struct ggml_tensor * mul_node = cgraph->nodes[node_n + 1];
+            const struct ggml_tensor * mul_w = (mul_node->src[0] == node)
+                ? mul_node->src[1] : mul_node->src[0];
+            if (node->src[0]->type  == GGML_TYPE_F32 &&
+                mul_node->type      == GGML_TYPE_F32 &&
+                mul_w->type         == GGML_TYPE_F32 &&
+                mul_w->ne[0]        == node->ne[0]   &&
+                mul_w->nb[0]        == sizeof(float)) {
+
+                ggml_compute_forward_rms_norm_mul_fused(params, node, mul_node);
+                return 1;
+            }
+        }
+    }
+
+    return 0;
+}
+
 static thread_ret_t ggml_graph_compute_thread(void * data) {
     struct ggml_compute_state * state = (struct ggml_compute_state *) data;
     struct ggml_threadpool    * tp    = state->threadpool;
@@ -3046,7 +3097,14 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
             continue;
         }
 
-        ggml_compute_forward(&params, node);
+        // TODO: move fused-op detection into ggml_graph_plan so fusion decisions are made once at planning time
+        // Try fused ops, fall back to normal compute
+        const int n_fused = ggml_cpu_try_fuse_ops(cgraph, node_n, &params, cplan);
+        if (n_fused > 0) {
+            node_n += n_fused;
+        } else {
+            ggml_compute_forward(&params, node);
+        }
 
         if (state->ith == 0 && cplan->abort_callback &&
                 cplan->abort_callback(cplan->abort_callback_data)) {
@@ -3921,6 +3979,11 @@ void ggml_cpu_init(void) {
         ggml_init_riscv_arch_features();
 #endif
 
+        {
+            const char * env = getenv("GGML_CPU_DISABLE_FUSION");
+            ggml_cpu_disable_fusion = (env != NULL && atoi(env) == 1);
+        }
+
         is_first_call = false;
     }
 
diff --git a/ggml/src/ggml-cpu/ggml-cpu.cpp b/ggml/src/ggml-cpu/ggml-cpu.cpp
index ddf1737a3..128883b41 100644
--- a/ggml/src/ggml-cpu/ggml-cpu.cpp
+++ b/ggml/src/ggml-cpu/ggml-cpu.cpp
@@ -195,6 +195,8 @@ static const struct ggml_backend_i ggml_backend_cpu_i = {
     /* .free                    = */ ggml_backend_cpu_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ ggml_backend_cpu_graph_plan_create,
diff --git a/ggml/src/ggml-cpu/llamafile/sgemm.cpp b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
index 34e320e2f..e13828e3b 100644
--- a/ggml/src/ggml-cpu/llamafile/sgemm.cpp
+++ b/ggml/src/ggml-cpu/llamafile/sgemm.cpp
@@ -2321,6 +2321,9 @@ class tinyBLAS_Q0_PPC {
     }
 
     void matmul(int64_t m, int64_t n) {
+    #if defined(_AIX) || defined(__BIG_ENDIAN__)
+        mnpack(0, m, 0, n);
+    #else
         const int64_t mc = 64;
         const int64_t kc = 64;
         int64_t nc = 64;
@@ -2334,7 +2337,6 @@ class tinyBLAS_Q0_PPC {
         } else {
             n_aligned = (n / 64) * 64;
         }
-
         if (n_aligned > 0) {
             if (n_aligned % 64 == 0)      nc = 64;
             else if (n_aligned == n)      nc = n;
@@ -2352,6 +2354,7 @@ class tinyBLAS_Q0_PPC {
         } else {
             mnpack(0, m, 0, n);
         }
+    #endif
     }
 
   private:
@@ -3191,12 +3194,16 @@ class tinyBLAS_PPC {
     }
 
     void matmul(int64_t m, int64_t n) {
+    #if defined(_AIX) || defined(__BIG_ENDIAN__)
+        mnpack(0, m, 0, n);
+    #else
         int64_t mc = 256; int64_t nc = 256; int64_t kc = 256;
         if (m % mc == 0 && n % nc == 0 && k % kc == 0) {
             matmul_tiled(m, n, mc, nc, kc);
         } else {
             mnpack(0, m, 0, n);
         }
+    #endif
     }
 
   private:
diff --git a/ggml/src/ggml-cpu/ops.cpp b/ggml/src/ggml-cpu/ops.cpp
index 6760d0b28..0f6668056 100644
--- a/ggml/src/ggml-cpu/ops.cpp
+++ b/ggml/src/ggml-cpu/ops.cpp
@@ -666,6 +666,7 @@ void ggml_compute_forward_add(
             {
                 ggml_compute_forward_add_non_quantized(params, dst);
             } break;
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -1117,6 +1118,7 @@ void ggml_compute_forward_add1(
                     GGML_ABORT("fatal error");
                 }
             } break;
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -1248,6 +1250,7 @@ void ggml_compute_forward_acc(
             } break;
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -3718,11 +3721,27 @@ void ggml_compute_forward_norm(
 
 // ggml_compute_forward_group_rms_norm
 
+// fusion kinds that can be combined with the rms_norm computation in a single pass.
+// extend this enum when adding new fused variants (e.g. FUSE_ADD, FUSE_MUL_ADD, ...).
+enum ggml_rms_norm_fuse_op {
+    GGML_RMS_NORM_FUSE_OP_NONE,
+    GGML_RMS_NORM_FUSE_OP_MUL,
+};
+
+template <ggml_rms_norm_fuse_op FUSE_OP>
 static void ggml_compute_forward_rms_norm_f32(
         const ggml_compute_params * params,
-        ggml_tensor * dst) {
+        ggml_tensor * dst_rms_norm,
+        ggml_tensor * dst_fused = nullptr) {
 
-    const ggml_tensor * src0 = dst->src[0];
+    const ggml_tensor * src0 = dst_rms_norm->src[0];
+    const ggml_tensor * src1 = nullptr;
+    ggml_tensor       * dst  = dst_rms_norm;
+
+    if constexpr (FUSE_OP == GGML_RMS_NORM_FUSE_OP_MUL) {
+        src1 = (dst_fused->src[0] == dst_rms_norm) ? dst_fused->src[1] : dst_fused->src[0];
+        dst  = dst_fused;
+    }
 
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
@@ -3731,11 +3750,10 @@ static void ggml_compute_forward_rms_norm_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-    GGML_TENSOR_UNARY_OP_LOCALS
+    GGML_TENSOR_BINARY_OP_LOCALS
 
     float eps;
-    memcpy(&eps, dst->op_params, sizeof(float));
-
+    memcpy(&eps, dst_rms_norm->op_params, sizeof(float));
     GGML_ASSERT(eps >= 0.0f);
 
     // TODO: optimize
@@ -3745,25 +3763,32 @@ static void ggml_compute_forward_rms_norm_f32(
                 const float * x = (float *) ((char *) src0->data + i01*nb01 + i02*nb02 + i03*nb03);
 
                 ggml_float sum = 0.0;
+                // worth switching to explicit SIMD?
                 for (int64_t i00 = 0; i00 < ne00; i00++) {
                     sum += (ggml_float)(x[i00] * x[i00]);
                 }
 
-                const float mean = sum/ne00;
-
-                float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3);
-
-                memcpy(y, x, ne00 * sizeof(float));
-                // for (int i00 = 0; i00 < ne00; i00++) {
-                //     y[i00] = x[i00];
-                // }
-
+                const float mean  = sum/ne00;
                 const float scale = 1.0f/sqrtf(mean + eps);
 
                 // if you hit this, likely you got an inf somewhere earlier
                 assert(scale > 0.0f);
 
-                ggml_vec_scale_f32(ne00, y, scale);
+                float * y = (float *) ((char *) dst->data + i01*nb1 + i02*nb2 + i03*nb3);
+
+                if constexpr (FUSE_OP == GGML_RMS_NORM_FUSE_OP_MUL) {
+                    const int64_t i11 = i01 % ne11;
+                    const int64_t i12 = i02 % ne12;
+                    const int64_t i13 = i03 % ne13;
+                    const float * w = (float *) ((char *) src1->data + i11*nb11 + i12*nb12 + i13*nb13);
+
+                    for (int64_t i00 = 0; i00 < ne00; i00++) {
+                        y[i00] = x[i00] * scale * w[i00];
+                    }
+                } else {
+                    memcpy(y, x, ne00 * sizeof(float));
+                    ggml_vec_scale_f32(ne00, y, scale);
+                }
             }
         }
     }
@@ -3778,7 +3803,31 @@ void ggml_compute_forward_rms_norm(
     switch (src0->type) {
         case GGML_TYPE_F32:
             {
-                ggml_compute_forward_rms_norm_f32(params, dst);
+                ggml_compute_forward_rms_norm_f32<GGML_RMS_NORM_FUSE_OP_NONE>(params, dst);
+            } break;
+        default:
+            {
+                GGML_ABORT("fatal error");
+            }
+    }
+}
+
+// Fused RMS_NORM + MUL: computes dst = rms_norm(src0) * src1 in a single pass.
+// This avoids materializing the intermediate rms_norm result in memory.
+void ggml_compute_forward_rms_norm_mul_fused(
+        const ggml_compute_params * params,
+        ggml_tensor * dst_rms_norm,
+        ggml_tensor * dst_mul) {
+
+    GGML_ASSERT(dst_mul != nullptr);
+    GGML_ASSERT(dst_mul->src[0] == dst_rms_norm || dst_mul->src[1] == dst_rms_norm);
+
+    const ggml_tensor * src0 = dst_rms_norm->src[0];
+
+    switch (src0->type) {
+        case GGML_TYPE_F32:
+            {
+                ggml_compute_forward_rms_norm_f32<GGML_RMS_NORM_FUSE_OP_MUL>(params, dst_rms_norm, dst_mul);
             } break;
         default:
             {
@@ -4339,6 +4388,7 @@ void ggml_compute_forward_out_prod(
     const ggml_tensor * src0 = dst->src[0];
 
     switch (src0->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -4616,6 +4666,7 @@ void ggml_compute_forward_set(
             } break;
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -4841,6 +4892,7 @@ void ggml_compute_forward_get_rows(
     const ggml_tensor * src0 = dst->src[0];
 
     switch (src0->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -5575,6 +5627,7 @@ void ggml_compute_forward_clamp(
                 ggml_compute_forward_clamp_f16(params, dst);
             } break;
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -5607,6 +5660,9 @@ void ggml_compute_forward_clamp(
         case GGML_TYPE_I32:
         case GGML_TYPE_I64:
         case GGML_TYPE_F64:
+        case GGML_TYPE_TURBO2_0:
+        case GGML_TYPE_TURBO3_0:
+        case GGML_TYPE_TURBO4_0:
         case GGML_TYPE_COUNT:
             {
                 GGML_ABORT("fatal error");
@@ -11326,3 +11382,91 @@ void ggml_compute_forward_opt_step_sgd(const ggml_compute_params * params, ggml_
             }
     }
 }
+
+static void ggml_compute_forward_fwht_f32(const ggml_compute_params * params, ggml_tensor * dst) {
+    const ggml_tensor * src0 = dst->src[0];
+    const ggml_tensor * src1 = dst->src[1];
+
+    GGML_ASSERT(src1->type == GGML_TYPE_F32);
+    GGML_ASSERT(dst->type == GGML_TYPE_F32);
+
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const int ith = params->ith;
+    const int nth = params->nth;
+
+    const int64_t n = ne10;
+    GGML_ASSERT((n & (n - 1)) == 0); // must be power of 2
+
+    const int64_t nr = ne11 * ne12 * ne13;
+    const int64_t rows_per_thread = (nr + nth - 1) / nth;
+    const int64_t start_row = ith * rows_per_thread;
+    const int64_t end_row = MIN(start_row + rows_per_thread, nr);
+
+    const float scale = 1.0f / sqrtf((float)n);
+
+#if defined(GGML_SIMD)
+    const GGML_F32_VEC v_minus_one = GGML_F32_VEC_SET1(-1.0f);
+#endif
+
+    for (int64_t r = start_row; r < end_row; r++) {
+        const int64_t i13 = r / (ne11 * ne12);
+        const int64_t i12 = (r - i13 * ne11 * ne12) / ne11;
+        const int64_t i11 = r - i13 * ne11 * ne12 - i12 * ne11;
+
+        const float * src_row = (const float *) ((const char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13);
+        float * dst_row = (float *) ((char *) dst->data + i11 * nb1 + i12 * nb2 + i13 * nb3);
+
+        for (int64_t j = 0; j < n; j++) {
+            dst_row[j] = src_row[j] * scale;
+        }
+
+        // Scalar passes
+#if defined(GGML_SIMD)
+        const int step = GGML_F32_EPR;
+#else
+        const int step = n;
+#endif
+        for (int64_t len = 1; len < step && len < n; len <<= 1) {
+            for (int64_t i = 0; i < n; i += 2 * len) {
+                for (int64_t j = 0; j < len; j++) {
+                    float u = dst_row[i + j];
+                    float v = dst_row[i + len + j];
+                    dst_row[i + j] = u + v;
+                    dst_row[i + len + j] = u - v;
+                }
+            }
+        }
+
+        // SIMD passes using GGML_F32_VEC_* macros for multi-architecture support
+#if defined(GGML_SIMD)
+        for (int64_t len = step; len < n; len <<= 1) {
+            for (int64_t i = 0; i < n; i += 2 * len) {
+                for (int64_t j = 0; j < len; j += step) {
+                    GGML_F32_VEC u = GGML_F32_VEC_LOAD(dst_row + i + j);
+                    GGML_F32_VEC v = GGML_F32_VEC_LOAD(dst_row + i + len + j);
+
+                    GGML_F32_VEC_STORE(dst_row + i + j,       GGML_F32_VEC_ADD(u, v));
+                    GGML_F32_VEC_STORE(dst_row + i + len + j, GGML_F32_VEC_FMA(u, v, v_minus_one));
+                }
+            }
+        }
+#endif
+    }
+}
+
+void ggml_compute_forward_fwht(const ggml_compute_params * params, ggml_tensor * dst) {
+    const ggml_tensor * src1 = dst->src[1];
+
+    switch (src1->type) {
+        case GGML_TYPE_F32:
+            {
+                ggml_compute_forward_fwht_f32(params, dst);
+            }
+            break;
+        default:
+            {
+                GGML_ABORT("fatal error - fwht is F32 only");
+            }
+    }
+}
diff --git a/ggml/src/ggml-cpu/ops.h b/ggml/src/ggml-cpu/ops.h
index da8761a34..8d4d90460 100644
--- a/ggml/src/ggml-cpu/ops.h
+++ b/ggml/src/ggml-cpu/ops.h
@@ -44,6 +44,7 @@ void ggml_compute_forward_concat(const struct ggml_compute_params * params, stru
 void ggml_compute_forward_silu_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_rms_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
+void ggml_compute_forward_rms_norm_mul_fused(const struct ggml_compute_params * params, struct ggml_tensor * dst_rms_norm, struct ggml_tensor * dst_mul);
 void ggml_compute_forward_rms_norm_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_group_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_l2_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
@@ -112,6 +113,7 @@ void ggml_compute_forward_cross_entropy_loss(const struct ggml_compute_params *
 void ggml_compute_forward_cross_entropy_loss_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_opt_step_adamw(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_mul_mat(const struct ggml_compute_params * params, struct ggml_tensor * dst);
+void ggml_compute_forward_fwht(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 void ggml_compute_forward_opt_step_sgd(const struct ggml_compute_params * params, struct ggml_tensor * dst);
 #ifdef __cplusplus
 }
diff --git a/ggml/src/ggml-cpu/quants.c b/ggml/src/ggml-cpu/quants.c
index 7ebbb9c6f..e5f9a4083 100644
--- a/ggml/src/ggml-cpu/quants.c
+++ b/ggml/src/ggml-cpu/quants.c
@@ -22,6 +22,10 @@
 
 #define UNUSED GGML_UNUSED
 
+void quantize_row_q1_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
+    quantize_row_q1_0_ref(x, y, k);
+}
+
 void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k) {
     quantize_row_q4_0_ref(x, y, k);
 }
@@ -116,6 +120,57 @@ void quantize_row_q8_K_generic(const float * GGML_RESTRICT x, void * GGML_RESTRI
 
 //===================================== Dot products =================================
 
+void ggml_vec_dot_q1_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
+    const int qk = QK1_0;
+    const int nb = n / qk;
+
+    assert(n % qk == 0);
+    assert(nrc == 1);
+    UNUSED(nrc);
+    UNUSED(bx);
+    UNUSED(by);
+    UNUSED(bs);
+
+    const block_q1_0 * GGML_RESTRICT x = vx;
+    const block_q8_0 * GGML_RESTRICT y = vy;
+
+    float sumf = 0.0;
+
+    for (int i = 0; i < nb; i++) {
+        const float d0 = GGML_CPU_FP16_TO_FP32(x[i].d);
+
+        float sumi = 0.0f;
+
+        for (int k = 0; k < 4; k++) {
+            const block_q8_0 * GGML_RESTRICT yb = &y[i * 4 + k];
+            const float d1 = GGML_CPU_FP16_TO_FP32(yb->d);
+            int sumi_block = 0;
+
+            const uint8_t * GGML_RESTRICT bits = &x[i].qs[k * 4];
+            const int8_t  * GGML_RESTRICT qy   = yb->qs;
+
+            for (int b = 0; b < 4; ++b, qy += 8) {
+                const unsigned mask = bits[b];
+                sumi_block += ((mask & 0x01) ? qy[0] : -qy[0])
+                           +  ((mask & 0x02) ? qy[1] : -qy[1])
+                           +  ((mask & 0x04) ? qy[2] : -qy[2])
+                           +  ((mask & 0x08) ? qy[3] : -qy[3])
+                           +  ((mask & 0x10) ? qy[4] : -qy[4])
+                           +  ((mask & 0x20) ? qy[5] : -qy[5])
+                           +  ((mask & 0x40) ? qy[6] : -qy[6])
+                           +  ((mask & 0x80) ? qy[7] : -qy[7]);
+            }
+
+            sumi += d1 * sumi_block;
+        }
+
+        sumf += d0 * sumi;
+    }
+
+    *s = sumf;
+}
+
+
 void ggml_vec_dot_q4_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc) {
     const int qk = QK8_0;
     const int nb = n / qk;
diff --git a/ggml/src/ggml-cpu/quants.h b/ggml/src/ggml-cpu/quants.h
index 3584aaa43..d4bc87a1c 100644
--- a/ggml/src/ggml-cpu/quants.h
+++ b/ggml/src/ggml-cpu/quants.h
@@ -12,6 +12,7 @@ extern "C" {
 #endif
 
 // Quantization
+void quantize_row_q1_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q4_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 void quantize_row_q5_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
@@ -36,6 +37,7 @@ void quantize_row_iq4_nl (const float * GGML_RESTRICT x, void * GGML_RESTRICT y,
 void quantize_row_iq4_xs (const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
 
 // Dot product
+void ggml_vec_dot_q1_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_1_q8_1(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q5_0_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
@@ -68,6 +70,7 @@ void ggml_vec_dot_iq3_s_q8_K  (int n, float * GGML_RESTRICT s, size_t bs, const
 void quantize_row_q8_0_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
 void quantize_row_q8_1_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT vy, int64_t k);
 void quantize_row_q8_K_generic(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
+void ggml_vec_dot_q1_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q4_1_q8_1_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
 void ggml_vec_dot_q5_0_q8_0_generic(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, size_t bx, const void * GGML_RESTRICT vy, size_t by, int nrc);
diff --git a/ggml/src/ggml-cpu/simd-gemm.h b/ggml/src/ggml-cpu/simd-gemm.h
index 78d663e59..4119d04f8 100644
--- a/ggml/src/ggml-cpu/simd-gemm.h
+++ b/ggml/src/ggml-cpu/simd-gemm.h
@@ -109,6 +109,96 @@ static void simd_gemm(
         C += N;
     }
 }
+#elif defined(GGML_SIMD) && defined(__riscv_v_intrinsic)
+// RM accumulators + 1 B vector = RM + 1 <= 8  =>  RM <= 7
+// Microkernel: C[RM x vl] += A[RM x K] * B[K x N]
+template <int RM>
+static inline void rvv_simd_gemm_ukernel(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int K, int N, size_t vl)
+{
+    static_assert(RM >= 1 && RM <= 7, "RM must be 1..7 for LMUL=4");
+
+    vfloat32m4_t acc_0 = __riscv_vle32_v_f32m4(C + 0 * N, vl);
+    vfloat32m4_t acc_1, acc_2, acc_3, acc_4, acc_5, acc_6;
+    if constexpr (RM > 1) acc_1 = __riscv_vle32_v_f32m4(C + 1 * N, vl);
+    if constexpr (RM > 2) acc_2 = __riscv_vle32_v_f32m4(C + 2 * N, vl);
+    if constexpr (RM > 3) acc_3 = __riscv_vle32_v_f32m4(C + 3 * N, vl);
+    if constexpr (RM > 4) acc_4 = __riscv_vle32_v_f32m4(C + 4 * N, vl);
+    if constexpr (RM > 5) acc_5 = __riscv_vle32_v_f32m4(C + 5 * N, vl);
+    if constexpr (RM > 6) acc_6 = __riscv_vle32_v_f32m4(C + 6 * N, vl);
+
+    for (int kk = 0; kk < K; kk++) {
+        vfloat32m4_t b_0 = __riscv_vle32_v_f32m4(B + kk * N, vl);
+
+                              acc_0 = __riscv_vfmacc_vf_f32m4(acc_0, A[0 * K + kk], b_0, vl);
+        if constexpr (RM > 1) acc_1 = __riscv_vfmacc_vf_f32m4(acc_1, A[1 * K + kk], b_0, vl);
+        if constexpr (RM > 2) acc_2 = __riscv_vfmacc_vf_f32m4(acc_2, A[2 * K + kk], b_0, vl);
+        if constexpr (RM > 3) acc_3 = __riscv_vfmacc_vf_f32m4(acc_3, A[3 * K + kk], b_0, vl);
+        if constexpr (RM > 4) acc_4 = __riscv_vfmacc_vf_f32m4(acc_4, A[4 * K + kk], b_0, vl);
+        if constexpr (RM > 5) acc_5 = __riscv_vfmacc_vf_f32m4(acc_5, A[5 * K + kk], b_0, vl);
+        if constexpr (RM > 6) acc_6 = __riscv_vfmacc_vf_f32m4(acc_6, A[6 * K + kk], b_0, vl);
+    }
+
+                          __riscv_vse32_v_f32m4(C + 0 * N, acc_0, vl);
+    if constexpr (RM > 1) __riscv_vse32_v_f32m4(C + 1 * N, acc_1, vl);
+    if constexpr (RM > 2) __riscv_vse32_v_f32m4(C + 2 * N, acc_2, vl);
+    if constexpr (RM > 3) __riscv_vse32_v_f32m4(C + 3 * N, acc_3, vl);
+    if constexpr (RM > 4) __riscv_vse32_v_f32m4(C + 4 * N, acc_4, vl);
+    if constexpr (RM > 5) __riscv_vse32_v_f32m4(C + 5 * N, acc_5, vl);
+    if constexpr (RM > 6) __riscv_vse32_v_f32m4(C + 6 * N, acc_6, vl);
+}
+
+template <int RM>
+static inline void rvv_simd_gemm_dispatch_tail(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int K, int N, int KN, int remaining_rows)
+{
+    if constexpr (RM > 0) {
+        if (remaining_rows == RM) {
+            int64_t jj = 0;
+            for (; jj + KN <= N; jj += KN) {
+                rvv_simd_gemm_ukernel<RM>(C + jj, A, B + jj, K, N, KN);
+            }
+            if (jj < N) {
+                rvv_simd_gemm_ukernel<RM>(C + jj, A, B + jj, K, N, N - jj);
+            }
+        } else {
+            rvv_simd_gemm_dispatch_tail<RM - 1>(C, A, B, K, N, KN, remaining_rows);
+        }
+    }
+}
+
+static constexpr int GEMM_RM = 7;
+
+// C[M x N] += A[M x K] * B[K x N]
+static void simd_gemm(
+    float       * GGML_RESTRICT C,
+    const float * GGML_RESTRICT A,
+    const float * GGML_RESTRICT B,
+    int M, int K, int N)
+{
+    const int KN = (int)__riscv_vlenb();
+    int64_t ii = 0;
+    for (; ii + GEMM_RM <= M; ii += GEMM_RM) {
+        int64_t jj = 0;
+        for (; jj + KN <= N; jj += KN) {
+            rvv_simd_gemm_ukernel<GEMM_RM>(C + jj, A, B + jj, K, N, KN);
+        }
+        if (jj < N) {
+            rvv_simd_gemm_ukernel<GEMM_RM>(C + jj, A, B + jj, K, N, N - jj);
+        }
+        A += GEMM_RM * K;
+        C += GEMM_RM * N;
+    }
+
+    int remaining_rows = M - ii;
+    rvv_simd_gemm_dispatch_tail<GEMM_RM - 1>(C, A, B, K, N, KN, remaining_rows);
+}
 
 #if defined(__GNUC__) && !defined(__clang__)
 #pragma GCC diagnostic pop
diff --git a/ggml/src/ggml-cpu/vec.h b/ggml/src/ggml-cpu/vec.h
index a0375a28d..bcd68da9a 100644
--- a/ggml/src/ggml-cpu/vec.h
+++ b/ggml/src/ggml-cpu/vec.h
@@ -1036,12 +1036,12 @@ inline static float ggml_gelu_quick_f32(float x) {
     return x*(1.0f/(1.0f+expf(GELU_QUICK_COEF*x)));
 }
 
-//inline static void ggml_vec_gelu_quick_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
-//    const uint16_t * i16 = (const uint16_t *) x;
-//    for (int i = 0; i < n; ++i) {
-//        y[i] = ggml_table_gelu_quick_f16[i16[i]];
-//    }
-//}
+inline static void ggml_vec_gelu_quick_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
+    const uint16_t * i16 = (const uint16_t *) x;
+    for (int i = 0; i < n; ++i) {
+        y[i] = ggml_table_gelu_quick_f16[i16[i]];
+    }
+}
 
 #ifdef GGML_GELU_QUICK_FP16
 inline static void ggml_vec_gelu_quick_f32(const int n, float * y, const float * x) {
@@ -1060,13 +1060,6 @@ inline static void ggml_vec_gelu_quick_f32(const int n, float * y, const float *
 }
 #endif
 
-inline static void ggml_vec_gelu_quick_f16(const int n, ggml_fp16_t * y, const ggml_fp16_t * x) {
-    for (int i = 0; i < n; ++i) {
-        float v = GGML_CPU_FP16_TO_FP32(x[i]);
-        y[i] = GGML_CPU_FP32_TO_FP16(v*(1.0f/(1.0f+expf(GELU_QUICK_COEF*v))));
-    }
-}
-
 // Sigmoid Linear Unit (SiLU) function
 inline static float ggml_silu_f32(float x) {
     return x/(1.0f + expf(-x));
diff --git a/ggml/src/ggml-cuda/CMakeLists.txt b/ggml/src/ggml-cuda/CMakeLists.txt
index f2a797224..a8a7af247 100644
--- a/ggml/src/ggml-cuda/CMakeLists.txt
+++ b/ggml/src/ggml-cuda/CMakeLists.txt
@@ -196,6 +196,16 @@ if (CUDAToolkit_FOUND)
         target_link_libraries(ggml-cuda PRIVATE CUDA::cuda_driver)
     endif()
 
+    if (GGML_CUDA_NCCL)
+        find_package(NCCL)
+        if (NCCL_FOUND)
+            add_compile_definitions(GGML_USE_NCCL)
+            target_link_libraries(ggml-cuda PRIVATE NCCL::NCCL)
+        else()
+            message(STATUS "Warning: NCCL not found, performance for multiple CUDA GPUs will be suboptimal")
+        endif()
+    endif()
+
     set(CUDA_CXX_FLAGS "")
 
     set(CUDA_FLAGS -use_fast_math -extended-lambda)
diff --git a/ggml/src/ggml-cuda/argsort.cu b/ggml/src/ggml-cuda/argsort.cu
index 38fdf3678..0f3f017b5 100644
--- a/ggml/src/ggml-cuda/argsort.cu
+++ b/ggml/src/ggml-cuda/argsort.cu
@@ -58,26 +58,48 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
 
     size_t temp_storage_bytes = 0;
 
+    bool is_capturing = false;
+#ifdef USE_CUDA_GRAPH
+    // Currently (confirmed for CCCL <= 3.2) DeviceSegmentedSort does not support stream capture, while DeviceSegmentedRadixSort does.
+    // See https://github.com/NVIDIA/cccl/issues/5661#issuecomment-3229037149
+    // TODO: constrain this to the CCCL versions that have this issue once it's resolved in a future CCCL release.
+    cudaStreamCaptureStatus capture_status;
+    CUDA_CHECK(cudaStreamIsCapturing(stream, &capture_status));
+    is_capturing = (capture_status != cudaStreamCaptureStatusNone);
+#endif  // USE_CUDA_GRAPH
+
     if (order == GGML_SORT_ORDER_ASC) {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                       temp_indices, dst,                                  // values (indices)
-                                       ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
+                                                  temp_indices, dst,  // values (indices)
+                                                  ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairs(
+                nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
+                temp_indices, dst,                                  // values (indices)
+                ncols * nrows, nrows,                               // num items, num segments
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairs(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                           temp_indices, dst,                                  // values (indices)
-                                           ncols * nrows, nrows,  // num items, num segments
-                                           offset_iterator, offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairs(nullptr, temp_storage_bytes, temp_keys,
+                                                      temp_keys,             // keys (in-place)
+                                                      temp_indices, dst,     // values (indices)
+                                                      ncols * nrows, nrows,  // num items, num segments
+                                                      offset_iterator, offset_iterator + 1, stream));
         }
     } else {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                                 temp_indices, dst,                                  // values (indices)
-                                                 ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys,
+                                                            temp_keys,          // keys (in-place)
+                                                            temp_indices, dst,  // values (indices)
+                                                            ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairsDescending(
+                nullptr, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys, temp_indices,
-                                                     dst, ncols * nrows, nrows, offset_iterator, offset_iterator + 1,
-                                                     stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairsDescending(nullptr, temp_storage_bytes, temp_keys, temp_keys,
+                                                                temp_indices, dst, ncols * nrows, nrows,
+                                                                offset_iterator, offset_iterator + 1, stream));
         }
     }
 
@@ -86,22 +108,33 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
 
     if (order == GGML_SORT_ORDER_ASC) {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                       temp_indices, dst,  // values (indices)
-                                       ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                  temp_keys,          // keys (in-place)
+                                                  temp_indices, dst,  // values (indices)
+                                                  ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
+                                                           temp_indices, dst, ncols * nrows, nrows, offset_iterator,
+                                                           offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst,
-                                           ncols * nrows, nrows, offset_iterator, offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairs(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
+                                                      temp_indices, dst, ncols * nrows, nrows, offset_iterator,
+                                                      offset_iterator + 1, stream));
         }
     } else {
         if (nrows == 1) {
-            DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,  // keys (in-place)
-                                                 temp_indices, dst,                                  // values (indices)
-                                                 ncols, 0, sizeof(float) * 8, stream);
+            CUDA_CHECK(DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                            temp_keys,          // keys (in-place)
+                                                            temp_indices, dst,  // values (indices)
+                                                            ncols, 0, sizeof(float) * 8, stream));
+        } else if (is_capturing) {
+            CUDA_CHECK(DeviceSegmentedRadixSort::SortPairsDescending(
+                d_temp_storage, temp_storage_bytes, temp_keys, temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                offset_iterator, offset_iterator + 1, 0, sizeof(float) * 8, stream));
         } else {
-            DeviceSegmentedSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys, temp_keys,
-                                                     temp_indices, dst, ncols * nrows, nrows, offset_iterator,
-                                                     offset_iterator + 1, stream);
+            CUDA_CHECK(DeviceSegmentedSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, temp_keys,
+                                                                temp_keys, temp_indices, dst, ncols * nrows, nrows,
+                                                                offset_iterator, offset_iterator + 1, stream));
         }
     }
 }
diff --git a/ggml/src/ggml-cuda/binbcast.cu b/ggml/src/ggml-cuda/binbcast.cu
index 7339fe0c0..adb4d5f0c 100644
--- a/ggml/src/ggml-cuda/binbcast.cu
+++ b/ggml/src/ggml-cuda/binbcast.cu
@@ -472,6 +472,36 @@ void ggml_cuda_op_fused_add(ggml_backend_cuda_context & ctx, ggml_tensor * dst,
     }
 }
 
+void ggml_cuda_op_fused_mul(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse) {
+    GGML_ASSERT(2 <= n_fuse && n_fuse <= 8);
+
+    switch (n_fuse) {
+        case 2:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 2>(ctx, dst);
+            break;
+        case 3:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 3>(ctx, dst);
+            break;
+        case 4:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 4>(ctx, dst);
+            break;
+        case 5:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 5>(ctx, dst);
+            break;
+        case 6:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 6>(ctx, dst);
+            break;
+        case 7:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 7>(ctx, dst);
+            break;
+        case 8:
+            ggml_cuda_op_fused_binbcast_impl<op_mul, 8>(ctx, dst);
+            break;
+        default:
+            GGML_ASSERT(false && "Unsupported n_fuse value");
+    }
+}
+
 void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
 
diff --git a/ggml/src/ggml-cuda/binbcast.cuh b/ggml/src/ggml-cuda/binbcast.cuh
index 62bc95011..12624785b 100644
--- a/ggml/src/ggml-cuda/binbcast.cuh
+++ b/ggml/src/ggml-cuda/binbcast.cuh
@@ -9,3 +9,4 @@ void ggml_cuda_op_div(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 void ggml_cuda_op_repeat_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
 void ggml_cuda_op_fused_add(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse);
+void ggml_cuda_op_fused_mul(ggml_backend_cuda_context & ctx, ggml_tensor * dst, int n_fuse);
diff --git a/ggml/src/ggml-cuda/common.cuh b/ggml/src/ggml-cuda/common.cuh
index 9affe0234..10817505d 100644
--- a/ggml/src/ggml-cuda/common.cuh
+++ b/ggml/src/ggml-cuda/common.cuh
@@ -65,8 +65,9 @@
 #define GGML_CUDA_CC_VEGA       (GGML_CUDA_CC_OFFSET_AMD + 0x900)  // Vega56/64, minimum for fp16 dual issue
 #define GGML_CUDA_CC_VEGA20     (GGML_CUDA_CC_OFFSET_AMD + 0x906)  // MI50/Radeon VII, minimum for dp4a
 #define GGML_CUDA_CC_CDNA1      (GGML_CUDA_CC_OFFSET_AMD + 0x908)  // MI100, minimum for MFMA, acc registers
-#define GGML_CUDA_CC_CDNA2      (GGML_CUDA_CC_OFFSET_AMD + 0x910)  // MI210, minimum acc register renameing
+#define GGML_CUDA_CC_CDNA2      (GGML_CUDA_CC_OFFSET_AMD + 0x90a)  // MI210 (gfx90a), minimum acc register renaming
 #define GGML_CUDA_CC_CDNA3      (GGML_CUDA_CC_OFFSET_AMD + 0x942)  // MI300
+#define GGML_CUDA_CC_CDNA4      (GGML_CUDA_CC_OFFSET_AMD + 0x950)  // MI350X/MI355X
 
 // RDNA removes MFMA, dp4a, xnack, acc registers, wave size is 32
 #define GGML_CUDA_CC_RDNA1      (GGML_CUDA_CC_OFFSET_AMD + 0x1010) // RX 5000
@@ -87,7 +88,8 @@
 #define GGML_CUDA_CC_IS_CDNA(cc)    (cc >= GGML_CUDA_CC_CDNA1 && cc < GGML_CUDA_CC_RDNA1)
 #define GGML_CUDA_CC_IS_CDNA1(cc)   (cc >= GGML_CUDA_CC_CDNA1 && cc < GGML_CUDA_CC_CDNA2)
 #define GGML_CUDA_CC_IS_CDNA2(cc)   (cc >= GGML_CUDA_CC_CDNA2 && cc < GGML_CUDA_CC_CDNA3)
-#define GGML_CUDA_CC_IS_CDNA3(cc)   (cc >= GGML_CUDA_CC_CDNA3 && cc < GGML_CUDA_CC_RDNA1)
+#define GGML_CUDA_CC_IS_CDNA3(cc)   (cc >= GGML_CUDA_CC_CDNA3 && cc < GGML_CUDA_CC_CDNA4)
+#define GGML_CUDA_CC_IS_CDNA4(cc)   (cc >= GGML_CUDA_CC_CDNA4 && cc < GGML_CUDA_CC_RDNA1)
 
 // Moore Threads
 #define MUSART_HMASK 40300 // MUSA rc4.3, min. ver. for half2 -> uint mask comparisons
@@ -186,6 +188,10 @@ void ggml_cuda_error(const char * stmt, const char * func, const char * file, in
 
 #define CUBLAS_CHECK(err) CUDA_CHECK_GEN(err, CUBLAS_STATUS_SUCCESS, cublas_get_error_str)
 
+#ifdef GGML_USE_NCCL
+#define NCCL_CHECK(err) CUDA_CHECK_GEN(err, ncclSuccess, ncclGetErrorString)
+#endif // GGML_USE_NCCL
+
 #if !defined(GGML_USE_HIP) && !defined(GGML_CUDA_NO_VMM)
 static const char * cu_get_error_str(CUresult err) {
     const char * err_str;
@@ -263,10 +269,6 @@ static const char * cu_get_error_str(CUresult err) {
 #define FLASH_ATTN_AVAILABLE
 #endif // !defined(GGML_CUDA_NO_FA) && !(defined(GGML_USE_MUSA) && __MUSA_ARCH__ < 220)
 
-#if defined(TURING_MMA_AVAILABLE)
-#define LDMATRIX_TRANS_AVAILABLE
-#endif // defined(TURING_MMA_AVAILABLE)
-
 static bool fp16_available(const int cc) {
     return ggml_cuda_highest_compiled_arch(cc) >= GGML_CUDA_CC_PASCAL ||
         (GGML_CUDA_CC_IS_MTHREADS(cc) && cc >= GGML_CUDA_CC_PH1);
@@ -828,6 +830,18 @@ static __device__ __forceinline__ float ggml_cuda_ue4m3_to_fp32(uint8_t x) {
 #endif // defined(GGML_USE_HIP) && defined(CDNA3) && defined(FP8_AVAILABLE) && HIP_VERSION >= 60200000
 }
 
+static __device__ __forceinline__ uint8_t ggml_cuda_fp32_to_ue4m3(float x) {
+#if defined(BLACKWELL_MMA_AVAILABLE) // This is used for NVFP4 subblock scale quantizations only
+    if (!(x > 0.0f)) {
+        return 0;
+    }
+    const __nv_fp8_e4m3 xf(x);
+    return xf.__x;
+#else
+     NO_DEVICE_CODE; // Used only for NVFP4 Scales for Activations, only for Blackwell
+#endif // defined(BLACKWELL_MMA_AVAILABLE)
+}
+
 __device__ __forceinline__ uint8_t ggml_cuda_float_to_fp4_e2m1(float x, float e) {
     const uint8_t sign_bit = (x < 0.0f) << 3;
     float         ax       = fabsf(x) * e;
@@ -918,6 +932,13 @@ struct ggml_cuda_type_traits<GGML_TYPE_F16> {
     static constexpr int qr = 1;
 };
 
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q1_0> {
+    static constexpr int qk = QK1_0;
+    static constexpr int qr = QR1_0;
+    static constexpr int qi = QI1_0;
+};
+
 template<>
 struct ggml_cuda_type_traits<GGML_TYPE_Q4_0> {
     static constexpr int qk = QK4_0;
@@ -1157,19 +1178,6 @@ struct ggml_tensor_extra_gpu {
 #define USE_CUDA_GRAPH
 #endif
 
-struct ggml_cuda_graph_node_properties {
-    void * node_data;
-    ggml_op node_op;
-    enum ggml_type node_type;
-    int32_t flags;
-    int64_t ne[GGML_MAX_DIMS];
-    size_t nb[GGML_MAX_DIMS];
-    void * src_data[GGML_MAX_SRC];
-    int32_t op_params[GGML_MAX_OP_PARAMS / sizeof(int32_t)];
-};
-
-static_assert(std::is_trivial<ggml_cuda_graph_node_properties>::value, "ggml_cuda_graph_node_properties must be trivial");
-
 struct ggml_cuda_graph {
 #ifdef USE_CUDA_GRAPH
     ~ggml_cuda_graph() {
@@ -1186,13 +1194,15 @@ struct ggml_cuda_graph {
     std::vector<cudaGraphNode_t> nodes;
     bool disable_due_to_gpu_arch = false;
     bool warmup_complete = false;
-    std::vector<ggml_cuda_graph_node_properties> props;
-
-    // these are extra tensors (inputs) that participate in the ggml graph but are not nodes
-    // they properties also have to match in order to be able to safely reuse a CUDA graph
-    // ref: https://github.com/ggml-org/llama.cpp/pull/18583
-    // ref: https://github.com/ggml-org/llama.cpp/pull/19165
-    std::vector<ggml_cuda_graph_node_properties> extra;
+    uint64_t uid = 0;
+    int64_t last_used_time = 0;
+    struct node_properties {
+        ggml_tensor node;
+        void *   node_src_data_ptrs[GGML_MAX_SRC];
+        int64_t  node_src_ne[GGML_MAX_SRC][GGML_MAX_DIMS];
+        size_t   node_src_nb[GGML_MAX_SRC][GGML_MAX_DIMS];
+    };
+    std::vector<node_properties> node_props;
 
     bool is_enabled() const {
         static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
@@ -1367,12 +1377,28 @@ struct ggml_backend_cuda_context {
     // when the computation is split across CPU/GPU (e.g., with --n-cpu-moe)
     std::unordered_map<const void *, std::unique_ptr<ggml_cuda_graph>> cuda_graphs;
 
+    int64_t last_graph_eviction_sweep = 0;
+
     ggml_cuda_graph * cuda_graph(const void * first_node_ptr) {
+        const int64_t time_now = ggml_time_us();
+
+        // sweep every 5s, evicting cuda graphs unused for >=10s
+        if (time_now - last_graph_eviction_sweep >= 5'000'000) {
+            last_graph_eviction_sweep = time_now;
+            for (auto it = cuda_graphs.begin(); it != cuda_graphs.end(); ) {
+                if (time_now - it->second->last_used_time >= 10'000'000) {
+                    it = cuda_graphs.erase(it);
+                } else {
+                    ++it;
+                }
+            }
+        }
+
         auto it = cuda_graphs.find(first_node_ptr);
         if (it == cuda_graphs.end()) {
-            cuda_graphs[first_node_ptr] = std::make_unique<ggml_cuda_graph>();
-            return cuda_graphs[first_node_ptr].get();
+            it = cuda_graphs.emplace(first_node_ptr, std::make_unique<ggml_cuda_graph>()).first;
         }
+        it->second->last_used_time = time_now;
         return it->second.get();
     }
 
diff --git a/ggml/src/ggml-cuda/concat.cu b/ggml/src/ggml-cuda/concat.cu
index e9ffd274b..102f944f9 100644
--- a/ggml/src/ggml-cuda/concat.cu
+++ b/ggml/src/ggml-cuda/concat.cu
@@ -1,96 +1,79 @@
 #include "concat.cuh"
 
 // contiguous kernels
-static __global__ void concat_f32_dim0(const float * x, const float * y, float * dst, const int ne0, const int ne00) {
-    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
-    if (nidx >= ne0) {
-        return;
-    }
-
-    int offset_dst =
-        nidx +
-        blockIdx.y * ne0 +
-        blockIdx.z * ne0 * gridDim.y;
-
-    if (nidx < ne00) { // src0
-        int offset_src =
-            nidx +
-            blockIdx.y * ne00 +
-            blockIdx.z * ne00 * gridDim.y;
-        dst[offset_dst] = x[offset_src];
-    } else {
-        int offset_src =
-            (nidx - ne00) +
-            blockIdx.y * (ne0 - ne00) +
-            blockIdx.z * (ne0 - ne00) * gridDim.y;
-        dst[offset_dst] = y[offset_src];
-    }
-}
-
-static __global__ void concat_f32_dim1(const float * x, const float * y, float * dst, const int ne0, const int ne01) {
-    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
-    if (nidx >= ne0) {
-        return;
-    }
+template <int dim>
+static __global__ void __launch_bounds__(CUDA_CONCAT_BLOCK_SIZE) concat_f32_cont(const float * x,
+                                                                                 const float * y,
+                                                                                 float *       dst,
+                                                                                 int64_t       ne00,
+                                                                                 int64_t       ne01,
+                                                                                 int64_t       ne02,
+                                                                                 int64_t       ne0,
+                                                                                 int64_t       ne1,
+                                                                                 int64_t       ne2) {
+    static_assert(dim >= 0 && dim <= 2, "dim must be in [0, 2]");
+
+    const int64_t n = ne0 * ne1 * ne2;
+
+    for (int64_t i = (int64_t) blockIdx.x * blockDim.x + threadIdx.x; i < n; i += (int64_t) blockDim.x * gridDim.x) {
+        if constexpr (dim == 0) {
+            const int64_t row = i / ne0;
+            const int64_t i0  = i - row * ne0;
+
+            if (i0 < ne00) {
+                dst[i] = x[row * ne00 + i0];
+            } else {
+                dst[i] = y[row * (ne0 - ne00) + (i0 - ne00)];
+            }
+        } else if constexpr (dim == 1) {
+            const int64_t dst_plane  = ne0 * ne1;
+            const int64_t src0_plane = ne0 * ne01;
+            const int64_t src1_plane = dst_plane - src0_plane;
+            const int64_t i2         = i / dst_plane;
+            const int64_t i01        = i - i2 * dst_plane;
+
+            if (i01 < src0_plane) {
+                dst[i] = x[i2 * src0_plane + i01];
+            } else {
+                dst[i] = y[i2 * src1_plane + (i01 - src0_plane)];
+            }
+        } else {
+            const int64_t src0_size = ne0 * ne1 * ne02;
 
-    int offset_dst =
-        nidx +
-        blockIdx.y * ne0 +
-        blockIdx.z * ne0 * gridDim.y;
-
-    if (blockIdx.y < (unsigned)ne01) { // src0
-        int offset_src =
-            nidx +
-            blockIdx.y * ne0 +
-            blockIdx.z * ne0 * ne01;
-        dst[offset_dst] = x[offset_src];
-    } else {
-        int offset_src =
-            nidx +
-            (blockIdx.y - ne01) * ne0 +
-            blockIdx.z * ne0 * (gridDim.y - ne01);
-        dst[offset_dst] = y[offset_src];
+            if (i < src0_size) {
+                dst[i] = x[i];
+            } else {
+                dst[i] = y[i - src0_size];
+            }
+        }
     }
 }
 
-static __global__ void concat_f32_dim2(const float * x, const float * y, float * dst, const int ne0, const int ne02) {
-    int nidx = threadIdx.x + blockIdx.x * blockDim.x;
-    if (nidx >= ne0) {
-        return;
-    }
-
-    int offset_dst =
-        nidx +
-        blockIdx.y * ne0 +
-        blockIdx.z * ne0 * gridDim.y;
-
-    if (blockIdx.z < (unsigned)ne02) { // src0
-        int offset_src =
-            nidx +
-            blockIdx.y * ne0 +
-            blockIdx.z * ne0 * gridDim.y;
-        dst[offset_dst] = x[offset_src];
-    } else {
-        int offset_src =
-            nidx +
-            blockIdx.y * ne0 +
-            (blockIdx.z - ne02) * ne0 *  gridDim.y;
-        dst[offset_dst] = y[offset_src];
-    }
-}
+static void concat_f32_cuda(const float * x,
+                            const float * y,
+                            float *       dst,
+                            int64_t       ne00,
+                            int64_t       ne01,
+                            int64_t       ne02,
+                            int64_t       ne0,
+                            int64_t       ne1,
+                            int64_t       ne2,
+                            int           dim,
+                            cudaStream_t  stream) {
+    const int64_t n          = ne0 * ne1 * ne2;
+    const int     num_blocks = (n + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
 
-static void concat_f32_cuda(const float * x, const float * y, float * dst, int ne00, int ne01, int ne02, int ne0, int ne1, int ne2, int dim, cudaStream_t stream) {
-    int num_blocks = (ne0 + CUDA_CONCAT_BLOCK_SIZE - 1) / CUDA_CONCAT_BLOCK_SIZE;
-    dim3 gridDim(num_blocks, ne1, ne2);
     if (dim == 0) {
-        concat_f32_dim0<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne00);
+        concat_f32_cont<0>
+            <<<num_blocks, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne00, ne01, ne02, ne0, ne1, ne2);
         return;
     }
     if (dim == 1) {
-        concat_f32_dim1<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne01);
+        concat_f32_cont<1>
+            <<<num_blocks, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne00, ne01, ne02, ne0, ne1, ne2);
         return;
     }
-    concat_f32_dim2<<<gridDim, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne0, ne02);
+    concat_f32_cont<2><<<num_blocks, CUDA_CONCAT_BLOCK_SIZE, 0, stream>>>(x, y, dst, ne00, ne01, ne02, ne0, ne1, ne2);
 }
 
 // non-contiguous kernel (slow)
diff --git a/ggml/src/ggml-cuda/convert.cu b/ggml/src/ggml-cuda/convert.cu
index ca26089ee..c19e19e1a 100644
--- a/ggml/src/ggml-cuda/convert.cu
+++ b/ggml/src/ggml-cuda/convert.cu
@@ -712,6 +712,8 @@ to_bf16_cuda_t ggml_get_to_bf16_cuda(ggml_type type) {
 
 to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cont_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_row_q4_0_cuda;
         case GGML_TYPE_Q4_1:
@@ -778,6 +780,8 @@ to_fp16_cuda_t ggml_get_to_fp16_cuda(ggml_type type) {
 
 to_fp32_cuda_t ggml_get_to_fp32_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cont_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_row_q4_0_cuda;
         case GGML_TYPE_Q4_1:
@@ -843,6 +847,8 @@ to_fp16_nc_cuda_t ggml_get_to_fp16_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
             return convert_unary_cuda<float>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
@@ -874,6 +880,8 @@ to_bf16_nc_cuda_t ggml_get_to_bf16_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
             return convert_unary_cuda<float, nv_bfloat16>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
@@ -895,6 +903,8 @@ to_fp32_nc_cuda_t ggml_get_to_fp32_nc_cuda(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F16:
             return convert_unary_cuda<half, float>;
+        case GGML_TYPE_Q1_0:
+            return dequantize_block_cuda<QK1_0, QR1_0, dequantize_q1_0>;
         case GGML_TYPE_Q4_0:
             return dequantize_block_cuda<QK4_0, QR4_0, dequantize_q4_0>;
         case GGML_TYPE_Q4_1:
diff --git a/ggml/src/ggml-cuda/dequantize.cuh b/ggml/src/ggml-cuda/dequantize.cuh
index 157dfd3ea..2a0372e3f 100644
--- a/ggml/src/ggml-cuda/dequantize.cuh
+++ b/ggml/src/ggml-cuda/dequantize.cuh
@@ -1,6 +1,28 @@
 #include "common.cuh"
 #include "turbo-quant.cuh"
 
+static __device__ __forceinline__ void dequantize_q1_0(const void * vx, const int64_t ib, const int iqs, float2 & v){
+    const block_q1_0 * x = (const block_q1_0 *) vx;
+
+    const float d = x[ib].d;
+
+    const int bit_index_0 = iqs;
+    const int bit_index_1 = iqs + 1;
+
+    const int byte_index_0 = bit_index_0 / 8;
+    const int bit_offset_0 = bit_index_0 % 8;
+
+    const int byte_index_1 = bit_index_1 / 8;
+    const int bit_offset_1 = bit_index_1 % 8;
+
+    // Extract bits: 1 = +d, 0 = -d (branchless)
+    const int bit_0 = (x[ib].qs[byte_index_0] >> bit_offset_0) & 1;
+    const int bit_1 = (x[ib].qs[byte_index_1] >> bit_offset_1) & 1;
+
+    v.x = (2*bit_0 - 1) * d;
+    v.y = (2*bit_1 - 1) * d;
+}
+
 static __device__ __forceinline__ void dequantize_q4_0(const void * vx, const int64_t ib, const int iqs, float2 & v){
     const block_q4_0 * x = (const block_q4_0 *) vx;
 
diff --git a/ggml/src/ggml-cuda/fattn-common.cuh b/ggml/src/ggml-cuda/fattn-common.cuh
index 06d97da08..640cfe1c6 100644
--- a/ggml/src/ggml-cuda/fattn-common.cuh
+++ b/ggml/src/ggml-cuda/fattn-common.cuh
@@ -1027,9 +1027,96 @@ static __global__ void flash_attn_mask_to_KV_max(
 
 template<int D, int ncols1, int ncols2> // D == head size
 __launch_bounds__(D, 1)
-static __global__ void flash_attn_stream_k_fixup(
-        float * __restrict__ dst, const float2 * __restrict__ dst_fixup, const int ne01, const int ne02, const int ne03,
-        const int ne11, const int ne12, const int nbatch_fa) {
+static __global__ void flash_attn_stream_k_fixup_uniform(
+        float * __restrict__ dst,
+        const float2 * __restrict__ dst_fixup,
+        const int ne01, const int ne02,
+        const int ne12, const int nblocks_stream_k,
+        const int gqa_ratio,
+        const int blocks_per_tile,
+        const uint3 fd_iter_j_z_ne12,
+        const uint3 fd_iter_j_z,
+        const uint3 fd_iter_j) {
+    constexpr int ncols = ncols1*ncols2;
+
+    const int tile_idx = blockIdx.x; // One block per output tile.
+    const int j        = blockIdx.y;
+    const int c        = blockIdx.z;
+    const int jc       = j*ncols2 + c;
+    const int tid      = threadIdx.x;
+
+    // nblocks_stream_k is a multiple of ntiles_dst (== gridDim.x), so each tile gets the same number of blocks.
+    const int b_first = tile_idx * blocks_per_tile;
+    const int b_last  = b_first + blocks_per_tile - 1;
+
+    const float * dst_fixup_data = ((const float *) dst_fixup) + nblocks_stream_k*(2*2*ncols);
+
+    // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index
+    const uint2 dm0 = fast_div_modulo(tile_idx, fd_iter_j_z_ne12);
+    const uint2 dm1 = fast_div_modulo(dm0.y,    fd_iter_j_z);
+    const uint2 dm2 = fast_div_modulo(dm1.y,    fd_iter_j);
+
+    const int sequence = dm0.x;
+    const int z_KV     = dm1.x;
+    const int zt_gqa   = dm2.x;
+    const int jt       = dm2.y;
+
+    const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index.
+
+    if (jt*ncols1 + j >= ne01 || zt_gqa*ncols2 + c >= gqa_ratio) {
+        return;
+    }
+
+    dst += sequence*ne02*ne01*D + jt*ne02*(ncols1*D) + zt_Q*D + (j*ne02 + c)*D + tid;
+
+    // Load the partial result that needs a fixup
+    float dst_val = *dst;
+    float max_val;
+    float rowsum;
+    {
+        const float2 tmp = dst_fixup[b_last*ncols + jc];
+        max_val = tmp.x;
+        rowsum  = tmp.y;
+    }
+
+    // Combine with all previous blocks in this tile.
+    for (int bidx = b_last - 1; bidx >= b_first; --bidx) {
+        const float dst_add = dst_fixup_data[bidx*ncols*D + jc*D + tid];
+
+        const float2 tmp = dst_fixup[(nblocks_stream_k + bidx)*ncols + jc];
+
+        const float max_val_new = fmaxf(max_val, tmp.x);
+
+        const float diff_val = max_val - max_val_new;
+        const float diff_add = tmp.x   - max_val_new;
+
+        const float scale_val = diff_val >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_val) : 0.0f;
+        const float scale_add = diff_add >= SOFTMAX_FTZ_THRESHOLD ? expf(diff_add) : 0.0f;
+
+        dst_val = scale_val*dst_val + scale_add*dst_add;
+        rowsum  = scale_val*rowsum  + scale_add*tmp.y;
+
+        max_val = max_val_new;
+    }
+
+    // Write back final result:
+    *dst = dst_val / rowsum;
+}
+
+// General fixup kernel for the case where the number of blocks per tile is not uniform across tiles
+// (blocks_num.x not a multiple of ntiles_dst)
+template <int D, int ncols1, int ncols2> // D == head size
+__launch_bounds__(D, 1)
+static __global__ void flash_attn_stream_k_fixup_general(
+        float * __restrict__ dst,
+        const float2 * __restrict__ dst_fixup,
+        const int ne01, const int ne02,
+        const int gqa_ratio,
+        const int total_work,
+        const uint3 fd_iter_k_j_z_ne12,
+        const uint3 fd_iter_k_j_z,
+        const uint3 fd_iter_k_j,
+        const uint3 fd_iter_k) {
     constexpr int ncols = ncols1*ncols2;
 
     const int bidx0 = blockIdx.x;
@@ -1040,27 +1127,26 @@ static __global__ void flash_attn_stream_k_fixup(
 
     const float * dst_fixup_data = ((const float *) dst_fixup) + gridDim.x*(2*2*ncols);
 
-    const int gqa_ratio = ne02 / ne12; // With grouped query attention there are > 1 Q matrices per K, V matrix.
-
-    const int iter_k     = (ne11      + (nbatch_fa - 1)) / nbatch_fa;
-    const int iter_j     = (ne01      + (ncols1    - 1)) / ncols1;
-    const int iter_z_gqa = (gqa_ratio + (ncols2    - 1)) / ncols2;
-
-    const int kbc0      = int64_t(bidx0 + 0)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
-    const int kbc0_stop = int64_t(bidx0 + 1)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
+    const int kbc0      = int64_t(bidx0 + 0)*total_work / gridDim.x;
+    const int kbc0_stop = int64_t(bidx0 + 1)*total_work / gridDim.x;
 
     const bool did_not_have_any_data   = kbc0 == kbc0_stop;
-    const bool wrote_beginning_of_tile = kbc0 % iter_k == 0;
-    const bool did_not_write_last      = kbc0/iter_k == kbc0_stop/iter_k && kbc0_stop % iter_k != 0;
+    const bool wrote_beginning_of_tile = fastmodulo(kbc0, fd_iter_k) == 0;
+    const bool did_not_write_last      = fastdiv(kbc0, fd_iter_k) == fastdiv(kbc0_stop, fd_iter_k) && fastmodulo(kbc0_stop, fd_iter_k) != 0;
     if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) {
         return;
     }
 
     // z_KV == K/V head index, zt_gqa = Q head start index per K/V head, jt = token position start index
-    const int sequence =  kbc0 /(iter_k*iter_j*iter_z_gqa*ne12);
-    const int z_KV     = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence)/(iter_k*iter_j*iter_z_gqa);
-    const int zt_gqa   = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV)/(iter_k*iter_j);
-    const int jt       = (kbc0 - iter_k*iter_j*iter_z_gqa*ne12 * sequence - iter_k*iter_j*iter_z_gqa * z_KV - iter_k*iter_j * zt_gqa) / iter_k;
+    const uint2 dm0 = fast_div_modulo(kbc0, fd_iter_k_j_z_ne12);
+    const uint2 dm1 = fast_div_modulo(dm0.y, fd_iter_k_j_z);
+    const uint2 dm2 = fast_div_modulo(dm1.y, fd_iter_k_j);
+    const uint2 dm3 = fast_div_modulo(dm2.y, fd_iter_k);
+
+    const int sequence = dm0.x;
+    const int z_KV     = dm1.x;
+    const int zt_gqa   = dm2.x;
+    const int jt       = dm3.x;
 
     const int zt_Q = z_KV*gqa_ratio + zt_gqa*ncols2; // Global Q head start index.
 
@@ -1084,10 +1170,11 @@ static __global__ void flash_attn_stream_k_fixup(
 
     // Iterate over previous blocks and compute the combined results.
     // All CUDA blocks that get here must have a previous block that needs a fixup.
+    const int tile_kbc0 = fastdiv(kbc0, fd_iter_k);
     int bidx = bidx0 - 1;
     int kbc_stop = kbc0;
     while(true) {
-        const int kbc = int64_t(bidx)*(iter_k*iter_j*iter_z_gqa*ne12*ne03) / gridDim.x;
+        const int kbc = int64_t(bidx)*total_work / gridDim.x;
         if (kbc == kbc_stop) { // Did not have any data.
             bidx--;
             kbc_stop = kbc;
@@ -1113,7 +1200,7 @@ static __global__ void flash_attn_stream_k_fixup(
         max_val = max_val_new;
 
         // If this block started in a previous tile we are done and don't need to combine additional partial results.
-        if (kbc % iter_k == 0 || kbc/iter_k < kbc0/iter_k) {
+        if (fastmodulo(kbc, fd_iter_k) == 0 || fastdiv(kbc, fd_iter_k) < tile_kbc0) {
             break;
         }
         bidx--;
@@ -1327,14 +1414,28 @@ void launch_fattn(
         const int tiles_nwaves = (ntiles_dst + max_blocks - 1) / max_blocks;
         const int tiles_efficiency_percent = 100 * ntiles_dst / (max_blocks*tiles_nwaves);
 
-        const int nblocks_stream_k = std::min(max_blocks, ntiles_KV*ntiles_dst);
-
         const bool use_stream_k = cc >= GGML_CUDA_CC_ADA_LOVELACE || amd_wmma_available(cc) || tiles_efficiency_percent < 75;
 
-        blocks_num.x = use_stream_k ? nblocks_stream_k : ntiles_dst;
+        blocks_num.x = ntiles_dst;
         blocks_num.y = 1;
         blocks_num.z = 1;
 
+        if(use_stream_k) {
+            const int nblocks_stream_k_raw = std::min(max_blocks, ntiles_KV*ntiles_dst);
+            // Round down to a multiple of ntiles_dst so that each output tile gets the same number of blocks (avoids fixup).
+            // Only do this if the occupancy loss from rounding is acceptable.
+            const int nblocks_stream_k_rounded = (nblocks_stream_k_raw / ntiles_dst) * ntiles_dst;
+            const int max_efficiency_loss_percent = 5;
+            const int efficiency_loss_percent = nblocks_stream_k_rounded > 0
+                ? 100 * (nblocks_stream_k_raw - nblocks_stream_k_rounded) / nblocks_stream_k_raw
+                : 100;
+            const int nblocks_stream_k = efficiency_loss_percent <= max_efficiency_loss_percent
+                ? nblocks_stream_k_rounded
+                : nblocks_stream_k_raw;
+
+            blocks_num.x = nblocks_stream_k;
+        }
+
         if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
             dst_tmp_meta.alloc((size_t(blocks_num.x) * ncols * (2 + DV/2)));
         }
@@ -1414,13 +1515,40 @@ void launch_fattn(
     CUDA_CHECK(cudaGetLastError());
 
     if (stream_k) {
-        if (ntiles_dst % blocks_num.x != 0) { // Fixup is only needed if the SMs work on fractional tiles.
+        if ((int)blocks_num.x % ntiles_dst == 0 && (int)blocks_num.x > ntiles_dst) {
+            // Optimized fixup: nblocks_stream_k is a multiple of ntiles_dst, launch one block per tile.
+            const int nblocks_sk  = (int)blocks_num.x;
+            const int bpt         = nblocks_sk / ntiles_dst;
+
+            const uint3 fd0 = init_fastdiv_values(ntiles_x * ntiles_z_gqa * K->ne[2]);
+            const uint3 fd1 = init_fastdiv_values(ntiles_x * ntiles_z_gqa);
+            const uint3 fd2 = init_fastdiv_values(ntiles_x);
+
+            const dim3 block_dim_combine(DV, 1, 1);
+            const dim3 blocks_num_combine = {(unsigned)ntiles_dst, ncols1, ncols2};
+
+            flash_attn_stream_k_fixup_uniform<DV, ncols1, ncols2>
+                <<<blocks_num_combine, block_dim_combine, 0, main_stream>>>
+                ((float *) KQV->data, dst_tmp_meta.ptr,
+                 Q->ne[1], Q->ne[2], K->ne[2], nblocks_sk,
+                 gqa_ratio, bpt, fd0, fd1, fd2);
+        } else if (ntiles_dst % blocks_num.x != 0) {
+            // General fixup for the cases where nblocks_stream_k < ntiles_dst.
+            const int total_work = ntiles_KV * ntiles_dst;
+
+            const uint3 fd_k_j_z_ne12 = init_fastdiv_values(ntiles_KV * ntiles_x * ntiles_z_gqa * K->ne[2]);
+            const uint3 fd_k_j_z      = init_fastdiv_values(ntiles_KV * ntiles_x * ntiles_z_gqa);
+            const uint3 fd_k_j        = init_fastdiv_values(ntiles_KV * ntiles_x);
+            const uint3 fd_k          = init_fastdiv_values(ntiles_KV);
+
             const dim3 block_dim_combine(DV, 1, 1);
             const dim3 blocks_num_combine = {blocks_num.x, ncols1, ncols2};
 
-            flash_attn_stream_k_fixup<DV, ncols1, ncols2>
+            flash_attn_stream_k_fixup_general<DV, ncols1, ncols2>
                 <<<blocks_num_combine, block_dim_combine, 0, main_stream>>>
-                ((float *) KQV->data, dst_tmp_meta.ptr, Q->ne[1], Q->ne[2], Q->ne[3], K->ne[1], K->ne[2], nbatch_fa);
+                ((float *) KQV->data, dst_tmp_meta.ptr,
+                 Q->ne[1], Q->ne[2], gqa_ratio, total_work,
+                 fd_k_j_z_ne12, fd_k_j_z, fd_k_j, fd_k);
         }
     } else if (parallel_blocks > 1) {
         const dim3 block_dim_combine(DV, 1, 1);
diff --git a/ggml/src/ggml-cuda/fattn-mma-f16.cuh b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
index 8989b3138..e86ef7ccc 100644
--- a/ggml/src/ggml-cuda/fattn-mma-f16.cuh
+++ b/ggml/src/ggml-cuda/fattn-mma-f16.cuh
@@ -66,6 +66,9 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  32, 128, 128, 128, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  32, 128, 128, 128, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 32, 128, 2,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 64, 256, 1,  32, 128, 128, 128, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512,  8,  64, 4,  32, 256, 256, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32, 256, 256, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
@@ -90,6 +93,9 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  64, 128, 128,  64, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  64, 128, 128,  64, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 32, 128, 2,  32, 128, 128, 128, 1, false);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 64, 256, 1,  32, 128, 128, 128, 1, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512,  8,  64, 4,  32,  96,  64, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32,  96,  64, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
@@ -133,6 +139,9 @@ static constexpr __host__ __device__ fattn_mma_config ggml_cuda_fattn_mma_get_co
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 32, 128, 2,  64, 128, 128,  64, 2, true);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(256, 256, 64, 128, 2,  64, 128, 128,  64, 2, true);
 
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 32, 128, 2,  64, 160, 128,  64, 2, true);
+    GGML_CUDA_FATTN_MMA_CONFIG_CASE(320, 256, 64, 128, 2,  64, 160, 128,  64, 2, false);
+
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 16,  64, 4,  32, 128, 128, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 32, 128, 2,  32, 128, 128, 128, 1, false);
     GGML_CUDA_FATTN_MMA_CONFIG_CASE(512, 512, 64, 256, 1,  32, 128, 128, 128, 1, false);
@@ -324,12 +333,13 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         const half2 * const __restrict__ KV, half2 * const __restrict__ tile_KV, const int D2, const int stride_KV, const int i_sup) {
     constexpr int warp_size = ggml_cuda_get_physical_warp_size();
     // K/V data is loaded with decreasing granularity for D for better memory bandwidth.
-    // The minimum granularity with cp.async is 16 bytes, with synchronous data loading it's 4 bytes.
+    // The minimum granularity is 16 bytes.
+    constexpr int h2_per_chunk = 16/sizeof(half2);
+    const int chunks_per_row = D2 / h2_per_chunk;
     if constexpr (use_cp_async) {
+        static_assert(warp_size == 32, "bad warp_size");
         static_assert(!oob_check, "OOB check not compatible with cp_async");
         constexpr int preload = 64;
-        constexpr int h2_per_chunk = 16/sizeof(half2);
-        const int chunks_per_row = D2 / h2_per_chunk;
 
         const unsigned int tile_KV_32 = ggml_cuda_cvta_generic_to_shared(tile_KV);
 
@@ -367,11 +377,11 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
         // 6: max  1*16= 16 bytes,   8 half
         ggml_cuda_unroll<6>{}(load);
     } else {
-        // TODO use ggml_cuda_memcpy_1
+        const half2 zero[4] = {{0.0f, 0.0f}, {0.0f, 0.0f}, {0.0f, 0.0f}, {0.0f, 0.0f}};
         auto load = [&] __device__ (const int n) {
-            const int stride_k = warp_size >> n;
-            const int k0_start = stride_k == warp_size ? 0 : D2 - D2 % (2*stride_k);
-            const int k0_stop  =                             D2 - D2 % (1*stride_k);
+            const int stride_k = 32 >> n;
+            const int k0_start = stride_k == 32 ? 0 : chunks_per_row - chunks_per_row % (2*stride_k);
+            const int k0_stop  =                      chunks_per_row - chunks_per_row % (1*stride_k);
             const int stride_i = warp_size / stride_k;
 
             if (k0_start == k0_stop) {
@@ -390,15 +400,18 @@ static __device__ __forceinline__ void flash_attn_ext_f16_load_tile(
                 for (int k0 = k0_start; k0 < k0_stop; k0 += stride_k) {
                     const int k = k0 + (stride_k == warp_size ? threadIdx.x : threadIdx.x % stride_k);
 
-                    tile_KV[i*stride_tile + k] = !oob_check || i < i_sup ? KV[i*stride_KV + k] : make_half2(0.0f, 0.0f);
+                    ggml_cuda_memcpy_1<16>(tile_KV + i*stride_tile + k*4,
+                        !oob_check || i < i_sup ? KV + i*stride_KV + k*h2_per_chunk : zero);
                 }
             }
         };
-        // 1: max 32* 4=128 bytes,  64 half
-        // 2: max 16* 4= 64 bytes,  32 half
-        // 3: max  8* 4= 32 bytes,  16 half
-        // 4: max  4* 4= 16 bytes,   8 half
-        ggml_cuda_unroll<4>{}(load);
+        // 1: max 32*16=512 bytes, 256 half
+        // 2: max 16*16=256 bytes, 128 half
+        // 3: max  8*16=128 bytes,  64 half
+        // 4: max  4*16= 64 bytes,  32 half
+        // 5: max  2*16= 32 bytes,  16 half
+        // 6: max  1*16= 16 bytes,   8 half
+        ggml_cuda_unroll<6>{}(load);
     }
 }
 
@@ -881,11 +894,6 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
     }
 
 
-#if defined(AMD_WMMA_AVAILABLE) && !defined(LDMATRIX_TRANS_AVAILABLE)
-    T_A_VKQ A_identity;
-    make_identity_mat(A_identity);
-#endif // defined(AMD_WMMA_AVAILABLE) && !defined(LDMATRIX_TRANS_AVAILABLE)
-
     // Calculate VKQ tile, need to use logical rather than physical elements for i0 due to transposition of V:
 #pragma unroll
     for (int i0_start = 0; i0_start < DV; i0_start += 2*nbatch_V2) {
@@ -916,29 +924,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_iter(
                 const int k0 = k00 + (threadIdx.y % np)*T_A_VKQ::J;
 
                 T_A_VKQ A; // Transposed in SRAM but not in registers, gets transposed on load.
-#if defined(LDMATRIX_TRANS_AVAILABLE)
                 load_ldmatrix_trans(A, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
-#elif defined(AMD_MFMA_AVAILABLE)
-                // MFMA A register layout: A_mat[i=lane%16][k=4*(lane/16)+reg].
-                // Normal load gives A_mat[seq][dv] but we need A_mat[dv][seq] = V^T.
-                // Load with transposed addressing: 4 strided half loads.
-                {
-                    const half2 * xs0 = tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2;
-                    const half * xs0_h = (const half *) xs0;
-                    const int stride_h = stride_tile_V * 2; // stride in half units
-                    half * A_h = (half *) A.x;
-#pragma unroll
-                    for (int l = 0; l < 4; ++l) {
-                        A_h[l] = xs0_h[(4*(threadIdx.x / 16) + l) * stride_h + threadIdx.x % 16];
-                    }
-                }
-#else
-                // TODO: Try to transpose tile_V when loading gmem to smem.
-                // Use mma to transpose T_A_VKQ for RDNA.
-                T_A_VKQ A_trans;
-                load_ldmatrix(A_trans, tile_V_i + 2*k0*stride_tile_V + (i_VKQ_0 - i0_start)/2, stride_tile_V);
-                mma(A, A_trans, A_identity);
-#endif // defined(LDMATRIX_TRANS_AVAILABLE)
                 if constexpr (T_B_KQ::I == 8) {
                     mma(VKQ_C[i_VKQ_0/i0_stride], A, B[k00/(np*T_A_VKQ::J)]);
                 } else {
@@ -1259,7 +1245,7 @@ static __device__ __forceinline__ void flash_attn_ext_f16_process_tile(
         float KQ_max_scale[cols_per_thread];
 #pragma unroll
         for (int col = 0; col < cols_per_thread; ++col) {
-            const int jc = cols_per_warp == 8 ? T_C_KQ::get_j(col) : T_C_KQ::get_i(2*col);
+            const int jc = (threadIdx.y/np)*cols_per_warp + (cols_per_warp == 8 ? T_C_KQ::get_j(col) : T_C_KQ::get_i(2*col));
             const float sink = sinks_f[jc % ncols2];
 
             const float KQ_max_new = fmaxf(KQ_max[col], sink);
@@ -1867,6 +1853,10 @@ extern DECL_FATTN_MMA_F16_CASE(576, 512, 1, 16);
 extern DECL_FATTN_MMA_F16_CASE(576, 512, 2, 16);
 extern DECL_FATTN_MMA_F16_CASE(576, 512, 4, 16);
 
+// Mistral Small 4 (DKQ=320, DV=256), GQA=32-only build:
+extern DECL_FATTN_MMA_F16_CASE(320, 256,  1, 32);
+extern DECL_FATTN_MMA_F16_CASE(320, 256,  2, 32);
+
 // For GLM 4.7 Flash
 extern DECL_FATTN_MMA_F16_CASE(576, 512,  4,  4);
 extern DECL_FATTN_MMA_F16_CASE(576, 512,  8,  4);
diff --git a/ggml/src/ggml-cuda/fattn-tile.cu b/ggml/src/ggml-cuda/fattn-tile.cu
index 5680f842d..3bef5ff6e 100644
--- a/ggml/src/ggml-cuda/fattn-tile.cu
+++ b/ggml/src/ggml-cuda/fattn-tile.cu
@@ -38,6 +38,10 @@ void ggml_cuda_flash_attn_ext_tile(ggml_backend_cuda_context & ctx, ggml_tensor
             GGML_ASSERT(V->ne[0] == K->ne[0]);
             ggml_cuda_flash_attn_ext_tile_case<256, 256>(ctx, dst);
         } break;
+        case 320: {
+            GGML_ASSERT(V->ne[0] == 256);
+            ggml_cuda_flash_attn_ext_tile_case<320, 256>(ctx, dst);
+        } break;
         case 512: {
             GGML_ASSERT(V->ne[0] == K->ne[0]);
             ggml_cuda_flash_attn_ext_tile_case<512, 512>(ctx, dst);
diff --git a/ggml/src/ggml-cuda/fattn-tile.cuh b/ggml/src/ggml-cuda/fattn-tile.cuh
index be4f3281a..50ef493da 100644
--- a/ggml/src/ggml-cuda/fattn-tile.cuh
+++ b/ggml/src/ggml-cuda/fattn-tile.cuh
@@ -68,6 +68,8 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  64,  64)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 16, 256, 2,  64,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
@@ -132,6 +134,8 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_nv
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32,  64)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 16, 256, 2,  32,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  32,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  32,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  32,  64)
@@ -203,6 +207,8 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32, 128)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 32, 512, 1, 128,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
@@ -277,6 +283,8 @@ static constexpr __host__ __device__ uint32_t ggml_cuda_fattn_tile_get_config_am
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5,  32, 256)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3,  64, 128)
 
+    GGML_CUDA_FATTN_TILE_CONFIG_CASE(320, 256, 32, 256, 2, 128,  64)
+
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
     GGML_CUDA_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 4,  64,  64)
@@ -1134,7 +1142,7 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_cuda_context & ctx, ggm
     constexpr size_t nbytes_shared = 0;
 
 #ifdef GGML_USE_HIP
-    if constexpr (DV <= 128) {
+    if constexpr (DKQ <= 128) {
         if (Q->ne[1] > 32/ncols2) {
             constexpr int cols_per_block = 64;
             const int nwarps    = ggml_cuda_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
@@ -1148,7 +1156,7 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_cuda_context & ctx, ggm
 #endif // GGML_USE_HIP
 
 #ifndef GGML_USE_HIP
-    if constexpr (DV <= 256)
+    if constexpr (DKQ <= 256)
 #endif // GGML_USE_HIP
     {
         if (Q->ne[1] > 16/ncols2) {
@@ -1162,14 +1170,16 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_cuda_context & ctx, ggm
         }
     }
 
-    if (Q->ne[1] > 8/ncols2) {
-        constexpr int cols_per_block = 16;
-        const int nwarps    = ggml_cuda_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-        const int nbatch_fa = ggml_cuda_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-        fattn_kernel_t fattn_kernel = flash_attn_tile<DKQ, DV, cols_per_block/ncols2, ncols2, use_logit_softcap>;
-        launch_fattn<DV, cols_per_block/ncols2, ncols2>
-            (ctx, dst, fattn_kernel, nwarps, nbytes_shared, nbatch_fa, true, true, false, warp_size);
-        return;
+    if constexpr (ncols2 <= 16) {
+        if (Q->ne[1] > 8/ncols2) {
+            constexpr int cols_per_block = 16;
+            const int nwarps    = ggml_cuda_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+            const int nbatch_fa = ggml_cuda_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+            fattn_kernel_t fattn_kernel = flash_attn_tile<DKQ, DV, cols_per_block/ncols2, ncols2, use_logit_softcap>;
+            launch_fattn<DV, cols_per_block/ncols2, ncols2>
+                (ctx, dst, fattn_kernel, nwarps, nbytes_shared, nbatch_fa, true, true, false, warp_size);
+            return;
+        }
     }
 
     if constexpr (ncols2 <= 8) {
@@ -1228,6 +1238,25 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
     const int gqa_limit = nvidia && gqa_ratio <= 4 && DV <= 256 ? 16 : INT_MAX;
     const bool use_gqa_opt = mask && max_bias == 0.0f && Q->ne[1] <= gqa_limit && K->ne[1] % FATTN_KQ_STRIDE == 0;
 
+    if constexpr (DKQ == 320) {
+        // This branch is only used for Mistral Small 4 which has a GQA ratio of 32.
+        // On AMD, simply use that GQA ratio with 32 columns / block since we always have enough SRAM.
+        // On NVIDIA however, the tile kernel is only used for GPUs that can't use the mma kernel (Pascal and older).
+        // Therefore, use a GQA ratio of 16 with 16 columns / block to stay below 48 kiB of SRAM / block.
+#ifdef GGML_USE_HIP
+        if (use_gqa_opt && gqa_ratio % 32 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 32, use_logit_softcap>(ctx, dst);
+            return;
+        }
+#else
+        if (use_gqa_opt && gqa_ratio % 16 == 0) {
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 16, use_logit_softcap>(ctx, dst);
+            return;
+        }
+#endif // GGML_USE_HIP
+        GGML_ABORT("flash-attn tile (320/256): expected GQA ratio multiple of 32");
+    }
+
     if constexpr (DKQ == 576) {
         if (use_gqa_opt && gqa_ratio % 16 == 0) {
             launch_fattn_tile_switch_ncols1<DKQ, DV, 16, use_logit_softcap>(ctx, dst);
@@ -1239,7 +1268,7 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_cuda_context & ctx, ggm
         }
     }
 
-    if constexpr (DKQ <= 512) {
+    if constexpr (DKQ <= 512 && DKQ != 320) {
         if (use_gqa_opt && gqa_ratio % 8 == 0) {
             launch_fattn_tile_switch_ncols1<DKQ, DV, 8, use_logit_softcap>(ctx, dst);
             return;
@@ -1293,6 +1322,7 @@ extern DECL_FATTN_TILE_CASE( 96,  96);
 extern DECL_FATTN_TILE_CASE(112, 112);
 extern DECL_FATTN_TILE_CASE(128, 128);
 extern DECL_FATTN_TILE_CASE(256, 256);
+extern DECL_FATTN_TILE_CASE(320, 256);
 extern DECL_FATTN_TILE_CASE(512, 512);
 extern DECL_FATTN_TILE_CASE(576, 512);
 extern DECL_FATTN_TILE_CASE(640, 512);
diff --git a/ggml/src/ggml-cuda/fattn.cu b/ggml/src/ggml-cuda/fattn.cu
index ee547d724..6189738e8 100644
--- a/ggml/src/ggml-cuda/fattn.cu
+++ b/ggml/src/ggml-cuda/fattn.cu
@@ -75,13 +75,17 @@ static void ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2(ggml_backend_cuda_con
             return;
         }
 
-        if (use_gqa_opt && gqa_ratio % 2 == 0) {
-            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+        if constexpr (DKQ <= 256) {
+            if (use_gqa_opt && gqa_ratio % 2 == 0) {
+                ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+                return;
+            }
+
+            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
             return;
+        } else {
+            GGML_ABORT("fatal error");
         }
-
-        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
-        return;
     }
 
     if (use_gqa_opt && gqa_ratio > 4) {
@@ -94,12 +98,16 @@ static void ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2(ggml_backend_cuda_con
         return;
     }
 
-    if (use_gqa_opt && gqa_ratio > 1) {
-        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
-        return;
-    }
+    if constexpr (DKQ <= 256) {
+        if (use_gqa_opt && gqa_ratio > 1) {
+            ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 2>(ctx, dst);
+            return;
+        }
 
-    ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
+        ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<DKQ, DV, 1>(ctx, dst);
+    } else {
+        GGML_ABORT("fatal error");
+    }
 }
 
 static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
@@ -135,6 +143,22 @@ static void ggml_cuda_flash_attn_ext_mma_f16(ggml_backend_cuda_context & ctx, gg
             GGML_ASSERT(V->ne[0] == 256);
             ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<256, 256>(ctx, dst);
             break;
+        case 320:
+            // For Mistral Small 4, go straight to the ncols1 switch (ncols2=32-only build).
+            GGML_ASSERT(V->ne[0] == 256);
+            {
+                float max_bias = 0.0f;
+                memcpy(&max_bias, (const float *) KQV->op_params + 1, sizeof(float));
+
+                const bool use_gqa_opt = mask && max_bias == 0.0f;
+                GGML_ASSERT(use_gqa_opt);
+                GGML_ASSERT(Q->ne[2] % K->ne[2] == 0);
+                const int gqa_ratio = Q->ne[2] / K->ne[2];
+                GGML_ASSERT(gqa_ratio % 32 == 0);
+
+                ggml_cuda_flash_attn_ext_mma_f16_switch_ncols1<320, 256, 32>(ctx, dst);
+            }
+            break;
         case 512:
             GGML_ASSERT(V->ne[0] == 512);
             ggml_cuda_flash_attn_ext_mma_f16_switch_ncols2<512, 512>(ctx, dst);
@@ -388,6 +412,14 @@ static best_fattn_kernel ggml_cuda_get_best_fattn_kernel(const int device, const
                 return BEST_FATTN_KERNEL_NONE;
             }
             break;
+        case 320:
+            if (V->ne[0] != 256 || !gqa_opt_applies) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            if (gqa_ratio % 32 != 0) {
+                return BEST_FATTN_KERNEL_NONE;
+            }
+            break;
         case 512:
             if (V->ne[0] != K->ne[0]) {
                 return BEST_FATTN_KERNEL_NONE;
diff --git a/ggml/src/ggml-cuda/getrows.cu b/ggml/src/ggml-cuda/getrows.cu
index 2fab33243..36b840e81 100644
--- a/ggml/src/ggml-cuda/getrows.cu
+++ b/ggml/src/ggml-cuda/getrows.cu
@@ -6,17 +6,18 @@ template<int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static __global__ void k_get_rows(
         const void * __restrict__ src0, const int32_t * __restrict__ src1, dst_t * __restrict__ dst,
         const int64_t ne00, /*const int64_t ne01, const int64_t ne02, const int64_t ne03,*/
-        /*const int64_t ne10,*/ const int64_t ne11, const int64_t ne12, /*const int64_t ne13,*/
+        /*const int64_t ne10,*/ const int64_t ne11, const uint3 ne12_fdv, /*const int64_t ne13,*/
         /*const size_t s0,*/ const size_t s1, const size_t s2, const size_t s3,
         /*const size_t nb00,*/ const size_t nb01, const size_t nb02, const size_t nb03,
         const size_t s10, const size_t s11, const size_t s12/*, const size_t s13*/) {
 
-    for (int64_t z = blockIdx.z; z < ne11*ne12; z += gridDim.z) {
+    for (int64_t z = blockIdx.z; z < ne11*(int64_t)ne12_fdv.z; z += gridDim.z) {
         for (int64_t i00 = 2*(blockIdx.y*blockDim.x + threadIdx.x); i00 < ne00; i00 += gridDim.y*blockDim.x) {
             // The x and y dimensions of the grid are swapped because the maximum allowed grid size for x is higher.
             const int i10 =  blockIdx.x;
-            const int i11 =  z / ne12; // TODO fastdiv
-            const int i12 =  z % ne12;
+            const uint2 dm  = fast_div_modulo((uint32_t)z, ne12_fdv);
+            const int i11 =  dm.x;
+            const int i12 =  dm.y;
 
             const int i01 = src1[i10*s10 + i11*s11 + i12*s12];
 
@@ -42,17 +43,18 @@ template<typename src0_t, typename dst_t>
 static __global__ void k_get_rows_float(
         const src0_t * __restrict__ src0, const int32_t * __restrict__ src1, dst_t * __restrict__ dst,
         const int64_t ne00, /*const int64_t ne01, const int64_t ne02, const int64_t ne03,*/
-        /*const int64_t ne10,*/ const int64_t ne11, const int64_t ne12, /*const int64_t ne13,*/
+        /*const int64_t ne10,*/ const int64_t ne11, const uint3 ne12_fdv, /*const int64_t ne13,*/
         /*const size_t s0,*/ const size_t s1, const size_t s2, const size_t s3,
         /*const size_t nb00,*/ const size_t nb01, const size_t nb02, const size_t nb03,
         const size_t s10, const size_t s11, const size_t s12/*, const size_t s13*/) {
 
-    for (int64_t z = blockIdx.z; z < ne11*ne12; z += gridDim.z) {
+    for (int64_t z = blockIdx.z; z < ne11*(int64_t)ne12_fdv.z; z += gridDim.z) {
         for (int64_t i00 = blockIdx.y*blockDim.x + threadIdx.x; i00 < ne00; i00 += gridDim.y*blockDim.x) {
             // The x and y dimensions of the grid are swapped because the maximum allowed grid size for x is higher.
             const int i10 = blockIdx.x;
-            const int i11 = z / ne12; // TODO fastdiv
-            const int i12 = z % ne12;
+            const uint2 dm = fast_div_modulo((uint32_t)z, ne12_fdv);
+            const int i11 = dm.x;
+            const int i12 = dm.y;
 
             if (i00 >= ne00) {
                 return;
@@ -115,10 +117,14 @@ static void get_rows_cuda_q(
 
     GGML_ASSERT(ne00 % 2 == 0);
 
+    GGML_ASSERT(ne12 > 0);
+    GGML_ASSERT(ne11 <= std::numeric_limits<uint32_t>::max() / ne12);
+    const uint3 ne12_fdv = init_fastdiv_values(ne12);
+
     k_get_rows<qk, qr, dq><<<block_nums, block_dims, 0, stream>>>(
         src0_d, src1_d, dst_d,
         ne00, /*ne01, ne02, ne03,*/
-        /*ne10,*/ ne11, ne12, /*ne13,*/
+        /*ne10,*/ ne11, ne12_fdv, /*ne13,*/
         /* s0,*/ s1, s2, s3,
         /* nb00,*/ nb01, nb02, nb03,
         s10, s11, s12/*, s13*/);
@@ -146,10 +152,14 @@ static void get_rows_cuda_float(
     const size_t s12 = nb12 / sizeof(int32_t);
     // const size_t s13 = nb13 / sizeof(int32_t);
 
+    GGML_ASSERT(ne12 > 0);
+    GGML_ASSERT(ne11 <= std::numeric_limits<uint32_t>::max() / ne12);
+    const uint3 ne12_fdv = init_fastdiv_values(ne12);
+
     k_get_rows_float<<<block_nums, block_dims, 0, stream>>>(
         src0_d, src1_d, dst_d,
         ne00, /*ne01, ne02, ne03,*/
-        /*ne10,*/ ne11, ne12, /*ne13,*/
+        /*ne10,*/ ne11, ne12_fdv, /*ne13,*/
         /* s0,*/ s1, s2, s3,
         /* nb00,*/ nb01, nb02, nb03,
         s10, s11, s12/*, s13*/);
@@ -179,6 +189,10 @@ static void ggml_cuda_get_rows_switch_src0_type(
             get_rows_cuda_float((const nv_bfloat16 *) src0_d, src1_d, dst_d,
                 ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
             break;
+        case GGML_TYPE_Q1_0:
+            get_rows_cuda_q<QK1_0, QR1_0, dequantize_q1_0>(src0_d, src1_d, dst_d,
+                ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
+            break;
         case GGML_TYPE_Q4_0:
             get_rows_cuda_q<QK4_0, QR4_0, dequantize_q4_0>(src0_d, src1_d, dst_d,
                 ne00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb1, nb2, nb3, stream);
diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
index c979e3b75..781982e60 100644
--- a/ggml/src/ggml-cuda/ggml-cuda.cu
+++ b/ggml/src/ggml-cuda/ggml-cuda.cu
@@ -327,6 +327,22 @@ static ggml_cuda_device_info ggml_cuda_init() {
     // configure logging to stdout
     // CUBLAS_CHECK(cublasLoggerConfigure(1, 1, 0, nullptr));
 
+    if (getenv("GGML_CUDA_P2P") != nullptr) {
+        for (int id = 0; id < info.device_count; ++id) {
+            ggml_cuda_set_device(id);
+            for (int id_other = 0; id_other < info.device_count; ++id_other) {
+                if (id == id_other) {
+                    continue;
+                }
+                int can_access_peer;
+                CUDA_CHECK(cudaDeviceCanAccessPeer(&can_access_peer, id, id_other));
+                if (can_access_peer) {
+                    CUDA_CHECK(cudaDeviceEnablePeerAccess(id_other, 0));
+                }
+            }
+        }
+    }
+
     return info;
 }
 
@@ -355,15 +371,21 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
     }
 
     ~ggml_cuda_pool_leg() {
+        clear_pool();
+        GGML_ASSERT(pool_size == 0);
+    }
+
+    void clear_pool() {
         ggml_cuda_set_device(device);
         for (int i = 0; i < MAX_BUFFERS; ++i) {
             ggml_cuda_buffer & b = buffer_pool[i];
             if (b.ptr != nullptr) {
                 CUDA_CHECK(cudaFree(b.ptr));
                 pool_size -= b.size;
+                b.ptr  = nullptr;
+                b.size = 0;
             }
         }
-        GGML_ASSERT(pool_size == 0);
     }
 
     void * alloc(size_t size, size_t * actual_size) override {
@@ -408,7 +430,20 @@ struct ggml_cuda_pool_leg : public ggml_cuda_pool {
         size_t look_ahead_size = (size_t) (1.05 * size);
         look_ahead_size = 256 * ((look_ahead_size + 255)/256);
         ggml_cuda_set_device(device);
-        CUDA_CHECK(ggml_cuda_device_malloc(&ptr, look_ahead_size, device));
+        cudaError_t err = ggml_cuda_device_malloc(&ptr, look_ahead_size, device);
+        if (err == cudaErrorMemoryAllocation) {
+            (void)cudaGetLastError();
+            const size_t cached_bytes = pool_size;
+            GGML_LOG_DEBUG(GGML_CUDA_NAME " pool[%d]: alloc of %.2f MiB failed, flushing %.2f MiB of cached buffers and retrying\n",
+                           device, look_ahead_size/1024.0/1024.0, cached_bytes/1024.0/1024.0);
+            CUDA_CHECK(cudaDeviceSynchronize());
+            clear_pool();
+            err = ggml_cuda_device_malloc(&ptr, look_ahead_size, device);
+            if (err == cudaSuccess) {
+                GGML_LOG_DEBUG(GGML_CUDA_NAME " pool[%d]: retry succeeded\n", device);
+            }
+        }
+        CUDA_CHECK(err);
         *actual_size = look_ahead_size;
         pool_size += look_ahead_size;
 #ifdef DEBUG_CUDA_MALLOC
@@ -658,15 +693,15 @@ static enum ggml_status ggml_backend_cuda_buffer_init_tensor(ggml_backend_buffer
 }
 
 static void ggml_backend_cuda_buffer_memset_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, uint8_t value, size_t offset, size_t size) {
-    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
 
     ggml_cuda_set_device(ctx->device);
-    CUDA_CHECK(cudaMemsetAsync((char *)tensor->data + offset, value, size, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemsetAsync((char *) tensor->data + offset, value, size, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
 static void ggml_backend_cuda_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
 
     ggml_cuda_set_device(ctx->device);
 
@@ -696,15 +731,35 @@ static void ggml_backend_cuda_buffer_set_tensor(ggml_backend_buffer_t buffer, gg
         return;
     }
 
-    CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemcpyAsync((char *) tensor->data + offset, data, size, cudaMemcpyHostToDevice, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
 static void ggml_backend_cuda_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
+
+    ggml_cuda_set_device(ctx->device);
+    CUDA_CHECK(cudaMemcpyAsync(data, (const char *) tensor->data + offset, size, cudaMemcpyDeviceToHost, cudaStreamPerThread));
+    CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
+}
+
+static void ggml_backend_cuda_buffer_set_tensor_2d(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor, const void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *) buffer->context;
+
+    ggml_cuda_set_device(ctx->device);
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        (char *) tensor->data + offset, stride_tensor, data, stride_data, size, n_copies, cudaMemcpyHostToDevice, cudaStreamPerThread));
+    CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
+}
+
+static void ggml_backend_cuda_buffer_get_tensor_2d(ggml_backend_buffer_t buffer, const struct ggml_tensor * tensor, void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
     ggml_backend_cuda_buffer_context * ctx = (ggml_backend_cuda_buffer_context *)buffer->context;
 
     ggml_cuda_set_device(ctx->device);
-    CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, cudaStreamPerThread));
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        data, stride_data, (const char *) tensor->data + offset, stride_tensor, size, n_copies, cudaMemcpyDeviceToHost, cudaStreamPerThread));
     CUDA_CHECK(cudaStreamSynchronize(cudaStreamPerThread));
 }
 
@@ -744,6 +799,8 @@ static const ggml_backend_buffer_i ggml_backend_cuda_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_cuda_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_cuda_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cuda_buffer_get_tensor,
+    /* .set_tensor_2d   = */ ggml_backend_cuda_buffer_set_tensor_2d,
+    /* .get_tensor_2d   = */ ggml_backend_cuda_buffer_get_tensor_2d,
     /* .cpy_tensor      = */ ggml_backend_cuda_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_cuda_buffer_clear,
     /* .reset           = */ NULL,
@@ -1080,6 +1137,8 @@ static const ggml_backend_buffer_i ggml_backend_cuda_split_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_cuda_split_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_cuda_split_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_cuda_split_buffer_clear,
     /* .reset           = */ NULL,
@@ -1156,6 +1215,148 @@ static const ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_inte
     /* .is_host          = */ ggml_backend_cuda_split_buffer_type_is_host,
 };
 
+#ifdef GGML_USE_NCCL
+struct ggml_backend_cuda_comm_context {
+    std::vector<ggml_backend_t> backends;
+    std::vector<ncclComm_t> comms;
+
+    ~ggml_backend_cuda_comm_context() {
+        for (ncclComm_t comm : comms) {
+            NCCL_CHECK(ncclCommDestroy(comm));
+        }
+    }
+};
+#endif // GGML_USE_NCCL
+
+static void ggml_backend_cuda_comm_free(void * comm_ctx_v) {
+#ifdef GGML_USE_NCCL
+    if (comm_ctx_v == nullptr) {
+        return;
+    }
+    ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v;
+    delete comm_ctx;
+#else
+    GGML_UNUSED(comm_ctx_v);
+#endif // GGML_USE_NCCL
+}
+
+static void * ggml_backend_cuda_comm_init(ggml_backend_t * backends, size_t n_backends) {
+#ifdef GGML_USE_NCCL
+    for (size_t i = 0; i < n_backends; i++) {
+        if (!ggml_backend_is_cuda(backends[i])) {
+            return nullptr;
+        }
+    }
+    ggml_backend_cuda_comm_context * ret = new ggml_backend_cuda_comm_context;
+    std::vector<int> dev_ids;
+    ret->backends.reserve(n_backends);
+    dev_ids.reserve(n_backends);
+    for (size_t i = 0; i < n_backends; i++) {
+        ret->backends.push_back(backends[i]);
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backends[i]->context;
+        dev_ids.push_back(cuda_ctx->device);
+    }
+
+    ret->comms.resize(n_backends);
+    NCCL_CHECK(ncclCommInitAll(ret->comms.data(), n_backends, dev_ids.data()));
+    return ret;
+#else
+    // If NCCL is installed it is used by default for optimal performance.
+    // However, NVIDIA does not distribute NCCL with CUDA so users may be unwittingly missing this package.
+    // RCCL is disabled by default, users are explicitly opting in.
+    // Therefore print no warning for RCCL.
+#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
+    static bool warning_printed = false;
+    if (!warning_printed) {
+        GGML_LOG_WARN("%s: NVIDIA Collective Communications Library (NCCL) is unavailable, multi GPU performance will be suboptimal\n", __func__);
+        warning_printed = true;
+    }
+#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
+    GGML_UNUSED_VARS(backends, n_backends);
+    return nullptr;
+#endif // GGML_USE_NCCL
+}
+
+static bool ggml_backend_cuda_comm_allreduce_tensor(void * comm_ctx_v, struct ggml_tensor ** tensors) {
+#ifdef GGML_USE_NCCL
+    const int64_t ne = ggml_nelements(tensors[0]);
+    // FIXME the input of llm_graph_context::build_in_out_ids can produce a tensor with 0 elements if n_outputs == 0
+    // This then causes a crash in this function
+    if (ne == 0) {
+        return true;
+    }
+
+    GGML_ASSERT(comm_ctx_v != nullptr);
+    ggml_backend_cuda_comm_context * comm_ctx = (ggml_backend_cuda_comm_context *) comm_ctx_v;
+    const size_t n_backends = comm_ctx->backends.size();
+
+    for (size_t i = 0; i < n_backends; ++i) {
+        GGML_ASSERT(tensors[i] != nullptr);
+        GGML_ASSERT(ggml_nelements(tensors[i]) == ne);
+        GGML_ASSERT(ggml_is_contiguously_allocated(tensors[i]));
+    }
+
+    // For small tensors, simply reduce them as FP32.
+    // The following heuristic for how "small" a tensor should be is based on RTX 4090s connected via 16x PCIe 4.0.
+    if ((n_backends <= 2 && ne < 32768) || (n_backends == 3 && ne < 131072) || (n_backends >= 4 && ne < 262144)) {
+        for (size_t i = 0; i < n_backends; ++i) {
+            if ((tensors[i]->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) {
+                ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+                ggml_cuda_set_device(cuda_ctx->device);
+                CUDA_CHECK(cudaMemsetAsync(tensors[i]->data, 0, ggml_nbytes(tensors[i]), cuda_ctx->stream()));
+            }
+        }
+        NCCL_CHECK(ncclGroupStart());
+        for (size_t i = 0; i < n_backends; ++i) {
+            ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+            NCCL_CHECK(ncclAllReduce(tensors[i]->data, tensors[i]->data, ne, ncclFloat, ncclSum, comm_ctx->comms[i], cuda_ctx->stream()));
+        }
+        NCCL_CHECK(ncclGroupEnd());
+
+        return true;
+    }
+
+    // For large tensors it's faster to compress them to BF16 for the reduction:
+    to_bf16_cuda_t to_bf16 = ggml_get_to_bf16_cuda(GGML_TYPE_F32);
+    to_fp32_cuda_t to_fp32 = ggml_get_to_fp32_cuda(GGML_TYPE_BF16);
+
+    ggml_cuda_pool_alloc<nv_bfloat16> tmp[GGML_CUDA_MAX_DEVICES];
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+        tmp[i].pool = &cuda_ctx->pool();
+        tmp[i].alloc(ne);
+
+        ggml_cuda_set_device(cuda_ctx->device);
+        if (tensors[i]->flags & GGML_TENSOR_FLAG_COMPUTE) {
+            to_bf16(tensors[i]->data, tmp[i].get(), ne, cuda_ctx->stream());
+        } else {
+            CUDA_CHECK(cudaMemsetAsync(tmp[i].get(), 0, ne * sizeof(nv_bfloat16), cuda_ctx->stream()));
+        }
+        CUDA_CHECK(cudaGetLastError());
+    }
+
+    NCCL_CHECK(ncclGroupStart());
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+        NCCL_CHECK(ncclAllReduce(tmp[i].get(), tmp[i].get(), ne, ncclBfloat16, ncclSum, comm_ctx->comms[i], cuda_ctx->stream()));
+    }
+    NCCL_CHECK(ncclGroupEnd());
+
+    for (size_t i = 0; i < n_backends; ++i) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) comm_ctx->backends[i]->context;
+
+        ggml_cuda_set_device(cuda_ctx->device);
+        to_fp32(tmp[i].get(), (float *) tensors[i]->data, ne, cuda_ctx->stream());
+        CUDA_CHECK(cudaGetLastError());
+    }
+
+    return true;
+#else
+    GGML_UNUSED_VARS(comm_ctx_v, tensors);
+    return false;
+#endif // GGML_USE_NCCL
+}
+
 ggml_backend_buffer_type_t ggml_backend_cuda_split_buffer_type(int main_device, const float * tensor_split) {
     static std::mutex mutex;
     std::lock_guard<std::mutex> lock(mutex);
@@ -1502,64 +1703,6 @@ static void ggml_cuda_op_mul_mat_cublas(
     GGML_UNUSED_VARS(dst, src1_ddq_i, src1_padded_row_size);
 }
 
-static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) {
-    static bool peer_access_enabled = false;
-
-    const bool enable_peer_access = n_tokens <= GGML_CUDA_PEER_MAX_BATCH_SIZE;
-
-    if (peer_access_enabled == enable_peer_access) {
-        return;
-    }
-
-#ifdef NDEBUG
-    for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
-        ggml_cuda_set_device(id);
-        CUDA_CHECK(cudaDeviceSynchronize());
-    }
-
-    for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
-        ggml_cuda_set_device(id);
-
-        for (int id_other = 0; id_other < ggml_backend_cuda_get_device_count(); ++id_other) {
-            if (id == id_other) {
-                continue;
-            }
-            if (id != main_device && id_other != main_device) {
-                continue;
-            }
-
-            int can_access_peer;
-            CUDA_CHECK(cudaDeviceCanAccessPeer(&can_access_peer, id, id_other));
-            if (can_access_peer) {
-                if (enable_peer_access) {
-                    cudaError_t err = cudaDeviceEnablePeerAccess(id_other, 0);
-                    if (err != cudaErrorPeerAccessAlreadyEnabled) {
-                        CUDA_CHECK(err);
-                    } else {
-                        // reset the error
-                        (void)cudaGetLastError();
-                    }
-                } else {
-                    cudaError_t err = cudaDeviceDisablePeerAccess(id_other);
-                    if (err != cudaErrorPeerAccessNotEnabled) {
-                        CUDA_CHECK(err);
-                    } else {
-                        // reset the error
-                        (void)cudaGetLastError();
-                    }
-                }
-            }
-        }
-    }
-
-    ggml_cuda_set_device(main_device);
-#endif // NDEBUG
-
-    peer_access_enabled = enable_peer_access;
-
-    GGML_UNUSED(main_device);
-}
-
 static cudaError_t ggml_cuda_Memcpy2DPeerAsync(
     void * dst, int dstDevice, size_t dpitch, void * src, int srcDevice, size_t spitch, size_t width, size_t height, cudaStream_t stream) {
 
@@ -2569,11 +2712,6 @@ static void ggml_cuda_mul_mat_id(ggml_backend_cuda_context & ctx, ggml_tensor *
 }
 
 static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct ggml_tensor * dst) {
-    // why is this here instead of mul_mat?
-    if (dst->src[0] != nullptr && ggml_backend_buft_is_cuda_split(dst->src[0]->buffer->buft)) {
-        ggml_cuda_set_peer_access(dst->src[1]->ne[1], ctx.device);
-    }
-
     switch (dst->op) {
         case GGML_OP_ARGMAX:
             ggml_cuda_argmax(ctx, dst);
@@ -2934,21 +3072,43 @@ static void ggml_backend_cuda_free(ggml_backend_t backend) {
 }
 
 static void ggml_backend_cuda_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
 
     GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
 
-    CUDA_CHECK(cudaMemcpyAsync((char *)tensor->data + offset, data, size, cudaMemcpyHostToDevice, cuda_ctx->stream()));
+    CUDA_CHECK(cudaMemcpyAsync((char *) tensor->data + offset, data, size, cudaMemcpyHostToDevice, cuda_ctx->stream()));
 }
 
 static void ggml_backend_cuda_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
+
+    CUDA_CHECK(cudaMemcpyAsync(data, (const char *) tensor->data + offset, size, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
+}
+
+static void ggml_backend_cuda_set_tensor_2d_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
+
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        (char *) tensor->data + offset, stride_tensor, data, stride_data, size, n_copies, cudaMemcpyHostToDevice, cuda_ctx->stream()));
+}
+
+static void ggml_backend_cuda_get_tensor_2d_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data,
+        size_t offset, size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *) backend->context;
     ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
 
     GGML_ASSERT(buf->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device) && "unsupported buffer type");
 
-    CUDA_CHECK(cudaMemcpyAsync(data, (const char *)tensor->data + offset, size, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
+    CUDA_CHECK(cudaMemcpy2DAsync(
+        data, stride_data, (const char *) tensor->data + offset, stride_tensor, size, n_copies, cudaMemcpyDeviceToHost, cuda_ctx->stream()));
 }
 
 static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) {
@@ -2959,21 +3119,21 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
         return false;
     }
 
-    if (!ggml_backend_buffer_is_cuda(src->buffer) || !ggml_backend_buffer_is_cuda(dst->buffer)) {
+    if (!ggml_backend_buffer_is_cuda(buf_src) || !ggml_backend_buffer_is_cuda(buf_dst)) {
         return false;
     }
 
     // device -> device copy
-    ggml_backend_cuda_context * cuda_ctx_src = (ggml_backend_cuda_context *)backend_src->context;
-    ggml_backend_cuda_context * cuda_ctx_dst = (ggml_backend_cuda_context *)backend_dst->context;
+    ggml_backend_cuda_context * cuda_ctx_src = (ggml_backend_cuda_context *) backend_src->context;
+    ggml_backend_cuda_context * cuda_ctx_dst = (ggml_backend_cuda_context *) backend_dst->context;
 
-    ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *)buf_src->context;
-    ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *)buf_dst->context;
+    ggml_backend_cuda_buffer_context * buf_ctx_src = (ggml_backend_cuda_buffer_context *) buf_src->context;
+    ggml_backend_cuda_buffer_context * buf_ctx_dst = (ggml_backend_cuda_buffer_context *) buf_dst->context;
 
     if (cuda_ctx_src->device != buf_ctx_src->device || cuda_ctx_dst->device != buf_ctx_dst->device) {
 #ifndef NDEBUG
         GGML_LOG_DEBUG("%s: backend and buffer devices do not match\n", __func__);
-#endif
+#endif // NDEBUG
         return false;
     }
 
@@ -2986,7 +3146,7 @@ static bool ggml_backend_cuda_cpy_tensor_async(ggml_backend_t backend_src, ggml_
             return false;
 #else
             CUDA_CHECK(cudaMemcpyPeerAsync(dst->data, cuda_ctx_dst->device, src->data, cuda_ctx_src->device, ggml_nbytes(dst), cuda_ctx_src->stream()));
-#endif
+#endif // GGML_CUDA_NO_PEER_COPY
         }
 
         // record event on src stream after the copy
@@ -3058,74 +3218,6 @@ static bool ggml_cuda_graph_check_compability(ggml_cgraph * cgraph) {
     return use_cuda_graph;
 }
 
-static void ggml_cuda_graph_node_set_properties(ggml_cuda_graph_node_properties * props, ggml_tensor * node) {
-    memset(props, 0, sizeof(ggml_cuda_graph_node_properties));
-    props->node_data = node->data;
-    props->node_op = node->op;
-    props->node_type = node->type;
-    props->flags = node->flags;
-    for (int i = 0; i < GGML_MAX_DIMS; i++) {
-        props->ne[i] = node->ne[i];
-        props->nb[i] = node->nb[i];
-    }
-    for (int i = 0; i < GGML_MAX_SRC; i++) {
-        if (!node->src[i]) {
-            continue;
-        }
-
-        props->src_data[i] = node->src[i]->data;
-    }
-    memcpy(props->op_params, node->op_params, GGML_MAX_OP_PARAMS);
-}
-
-static bool ggml_cuda_graph_node_properties_match(ggml_tensor * node, ggml_cuda_graph_node_properties * props) {
-    if (node->data != props->node_data && node->op != GGML_OP_VIEW) {
-        return false;
-    }
-
-    if (node->op != props->node_op) {
-        return false;
-    }
-
-    if (node->type != props->node_type) {
-        return false;
-    }
-
-    for (int i = 0; i < GGML_MAX_DIMS; i++) {
-        if (node->ne[i] != props->ne[i]) {
-            return false;
-        }
-        if (node->nb[i] != props->nb[i]) {
-            return false;
-        }
-    }
-
-    if (node->op != GGML_OP_VIEW) {
-        for (int i = 0; i < GGML_MAX_SRC; i++) {
-            if (!node->src[i]) {
-                if (props->src_data[i] != nullptr) {
-                    return false;
-                }
-                continue;
-            }
-
-            if (node->src[i]->data != props->src_data[i]) {
-                return false;
-            }
-        }
-    }
-
-    if (memcmp(props->op_params, node->op_params, GGML_MAX_OP_PARAMS) != 0) {
-        return false;
-    }
-
-    if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) != (props->flags & GGML_TENSOR_FLAG_COMPUTE)) {
-        return false;
-    }
-
-    return true;
-}
-
 static const void * ggml_cuda_graph_get_key(ggml_cgraph * cgraph) {
     return cgraph->nodes[0];
 }
@@ -3136,53 +3228,37 @@ static bool ggml_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx
     const void * graph_key = ggml_cuda_graph_get_key(cgraph);
     ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
 
-    // Check if the graph size has changed
-    if (graph->props.size() != (size_t)cgraph->n_nodes) {
-        res = true;
-        graph->props.resize(cgraph->n_nodes);
+    if (cgraph->uid != 0 &&
+        cgraph->uid == graph->uid) {
+        GGML_LOG_DEBUG("CUDA Graph id %zu reused\n", cgraph->uid);
+        GGML_ASSERT((int)graph->node_props.size() == cgraph->n_nodes);
+        return false;
     }
 
-    // Loop over nodes in GGML graph to determine if CUDA graph update is required
-    // and store properties to allow this comparison for the next token
-    std::unordered_set<ggml_tensor *> seen_node;
-    std::vector<ggml_tensor *> srcs_extra;
-    for (int i = 0; i < cgraph->n_nodes; i++) {
-        bool props_match = true;
-
-        seen_node.insert(cgraph->nodes[i]);
-
-        if (!res) {
-            props_match = ggml_cuda_graph_node_properties_match(cgraph->nodes[i], &graph->props[i]);
-        }
-        if (!props_match) {
-            res = true;
-        }
-        ggml_cuda_graph_node_set_properties(&graph->props[i], cgraph->nodes[i]);
-
-        for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
-            ggml_tensor * src = cgraph->nodes[i]->src[src_idx];
-            if (src && seen_node.find(src) == seen_node.end()) {
-                srcs_extra.push_back(src);
-            }
-        }
-    }
+    graph->uid = cgraph->uid;
 
-    if (graph->extra.size() != (size_t) srcs_extra.size()) {
+    // Check if the graph size has changed
+    if ((int)graph->node_props.size() != cgraph->n_nodes) {
         res = true;
-        graph->extra.resize(srcs_extra.size());
+        graph->node_props.resize(cgraph->n_nodes);
     }
 
-    for (size_t i = 0; i < srcs_extra.size(); ++i) {
-        bool props_match = true;
-
-        if (!res) {
-            props_match = ggml_cuda_graph_node_properties_match(srcs_extra[i], &graph->extra[i]);
+    for (int i = 0; i < cgraph->n_nodes; i++) {
+        ggml_cuda_graph::node_properties prop = {};
+        memcpy(&prop.node, cgraph->nodes[i], sizeof(ggml_tensor));
+
+        for (int j = 0; j < GGML_MAX_SRC; ++j) {
+            if (cgraph->nodes[i]->src[j]) {
+                prop.node_src_data_ptrs[j] = cgraph->nodes[i]->src[j]->data;
+                memcpy(prop.node_src_ne[j], cgraph->nodes[i]->src[j]->ne, sizeof(prop.node_src_ne[j]));
+                memcpy(prop.node_src_nb[j], cgraph->nodes[i]->src[j]->nb, sizeof(prop.node_src_nb[j]));
+            }
         }
 
-        if (!props_match) {
+        if (res || memcmp(&graph->node_props[i], &prop, sizeof(prop)) != 0) {
+            graph->node_props[i] = prop;
             res = true;
         }
-        ggml_cuda_graph_node_set_properties(&graph->extra[i], srcs_extra[i]);
     }
 
     return res;
@@ -3397,6 +3473,71 @@ static bool ggml_cuda_topk_moe_fusion(const struct ggml_cgraph * cgraph, int nod
     return true;
 }
 
+// returns whether the write (out) nodes overwrite the read nodes in operation
+static bool ggml_cuda_check_fusion_memory_ranges(const ggml_cgraph * cgraph,
+                                                 const int           node_idx,
+                                                 const int           node_count,
+                                                 const int *         out_nodes,
+                                                 const int           out_count,
+                                                 const bool          is_topk_moe = false) {
+    auto nodes_overlap = [&](const ggml_tensor * a, const ggml_tensor * b) {
+        const int64_t a_start = (int64_t) a->data;
+        const int64_t a_end   = a_start + ggml_backend_buft_get_alloc_size(a->buffer->buft, a);
+
+        const int64_t b_start = (int64_t) b->data;
+        const int64_t b_end   = b_start + ggml_backend_buft_get_alloc_size(b->buffer->buft, b);
+
+        if ((b_start <= a_start && a_start < b_end) || (a_start <= b_start && b_start < a_end)) {
+            return true;
+        }
+
+        return false;
+    };
+
+    bool is_ok = true;
+    // exception for topk-moe, as each row is read entirely before writing
+    if (ggml_nrows(cgraph->nodes[node_idx]) == 1 && is_topk_moe) {
+        return true;
+    }
+
+    for (int i = 0; i < out_count; ++i) {
+        const ggml_tensor * dst = cgraph->nodes[out_nodes[i]];
+
+        for (int j = node_idx; j < node_idx + node_count; ++j) {
+            // Loop over all srcs of all nodes in the fusion. If the src overlaps
+            // the destination and the src is not an intermediate node that's being
+            // elided, then disable fusion.
+
+            for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
+                const ggml_tensor * src = cgraph->nodes[j]->src[src_idx];
+
+                if (!src || src->op == GGML_OP_NONE) {
+                    continue;
+                }
+
+                if (nodes_overlap(dst, src)) {
+                    bool found = false;
+
+                    for (int k = node_idx; k < j; ++k) {
+                        if (cgraph->nodes[k] == src) {
+                            found = true;
+                            break;
+                        }
+                    }
+
+                    if (!found) {
+                        is_ok = false;
+                        break;
+                    }
+                }
+            }
+        }
+    }
+
+    return is_ok;
+}
+
+
 static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
                                int                                       node_idx,
                                std::initializer_list<enum ggml_op>       ops,
@@ -3426,7 +3567,8 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         const ggml_tensor * glu           = cgraph->nodes[node_idx + 4];
 
         if (ggml_cuda_should_fuse_mul_mat(ffn_up, ffn_gate, glu, ffn_up_bias, ffn_gate_bias)) {
-            return true;
+            int out_nodes[] = { node_idx + 4 };
+            return ggml_cuda_check_fusion_memory_ranges(cgraph, node_idx, (int)ops.size(), out_nodes, 1);
         }
     }
 
@@ -3437,7 +3579,8 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         const ggml_tensor * glu      = cgraph->nodes[node_idx + 2];
 
         if (ggml_cuda_should_fuse_mul_mat(ffn_up, ffn_gate, glu)) {
-            return true;
+            int out_nodes[] = { node_idx + 2 };
+            return ggml_cuda_check_fusion_memory_ranges(cgraph, node_idx, (int)ops.size(), out_nodes, 1);
         }
     }
 
@@ -3503,6 +3646,9 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
      && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_SILU) {
         const ggml_tensor * ssm_conv = cgraph->nodes[node_idx];
         const ggml_tensor * silu     = cgraph->nodes[node_idx+1];
+        if (ggml_get_unary_op(silu) != unary_ops.begin()[0]) {
+            return false;
+        }
 
         if (ssm_conv->type != GGML_TYPE_F32 || silu->type != GGML_TYPE_F32) {
             return false;
@@ -3511,7 +3657,32 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         return true;
     }
 
-    if (ops.size() == 2 && ops.begin()[0] == GGML_OP_UNARY && ops.begin()[1] == GGML_OP_MUL
+    if (ops.size() == 3 && ops.begin()[0] == GGML_OP_SSM_CONV && ops.begin()[1] == GGML_OP_ADD
+     && ops.begin()[2] == GGML_OP_UNARY && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_SILU) {
+        const ggml_tensor * ssm_conv = cgraph->nodes[node_idx];
+        const ggml_tensor * add      = cgraph->nodes[node_idx+1];
+        const ggml_tensor * silu     = cgraph->nodes[node_idx+2];
+        if (ggml_get_unary_op(silu) != unary_ops.begin()[0]) {
+            return false;
+        }
+
+        if (ssm_conv->type != GGML_TYPE_F32 || add->type != GGML_TYPE_F32 || silu->type != GGML_TYPE_F32) {
+            return false;
+        }
+
+        // ADD must consume ssm_conv's output and broadcast a 1-D channel-wise bias.
+        const ggml_tensor * bias = (add->src[0] == ssm_conv) ? add->src[1] : add->src[0];
+        if (bias->type != GGML_TYPE_F32 || !ggml_is_contiguous(bias)) {
+            return false;
+        }
+        if (ggml_nelements(bias) != ssm_conv->ne[0] || bias->ne[0] != ssm_conv->ne[0]) {
+            return false;
+        }
+
+        return true;
+    }
+
+    if (ops.size() == 2 && ops.begin()[0] == GGML_OP_UNARY && ops.begin()[1] == GGML_OP_MUL
      && unary_ops.size() == 1 && (unary_ops.begin()[0] == GGML_UNARY_OP_SILU || unary_ops.begin()[0] == GGML_UNARY_OP_SIGMOID || unary_ops.begin()[0] == GGML_UNARY_OP_SOFTPLUS)) {
         const ggml_tensor * unary = cgraph->nodes[node_idx];
         const ggml_tensor * mul   = cgraph->nodes[node_idx+1];
@@ -3539,6 +3710,30 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
         return true;
     }
 
+    if (ops.size() == 2 && ops.begin()[0] == GGML_OP_UNARY && ops.begin()[1] == GGML_OP_SQR
+     && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_RELU) {
+        const ggml_tensor * unary = cgraph->nodes[node_idx];
+        const ggml_tensor * sqr   = cgraph->nodes[node_idx+1];
+
+        if (ggml_get_unary_op(unary) != GGML_UNARY_OP_RELU) {
+            return false;
+        }
+
+        if (unary->type != GGML_TYPE_F32 && unary->type != GGML_TYPE_F16) {
+            return false;
+        }
+
+        if (unary->type != sqr->type) {
+            return false;
+        }
+
+        if (!ggml_is_contiguous(unary->src[0])) {
+            return false;
+        }
+
+        return true;
+    }
+
     if (ops.size() == 3 && ops.begin()[0] == GGML_OP_SCALE && ops.begin()[1] == GGML_OP_UNARY && ops.begin()[2] == GGML_OP_SCALE
      && unary_ops.size() == 1 && unary_ops.begin()[0] == GGML_UNARY_OP_TANH) {
         const ggml_tensor *scale  = cgraph->nodes[node_idx];
@@ -3563,67 +3758,360 @@ static bool ggml_cuda_can_fuse(const struct ggml_cgraph *                cgraph,
     return false;
 }
 
-// returns whether the write (out) nodes overwrite the read nodes in operation
-static bool ggml_cuda_check_fusion_memory_ranges(ggml_cgraph * cgraph,
-                                                 int           node_idx,
-                                                 int           node_count,
-                                                 int *         out_nodes,
-                                                 int           out_count) {
-    auto nodes_overlap = [&](const ggml_tensor * a, const ggml_tensor * b) {
-        const int64_t a_start = (int64_t) a->data;
-        const int64_t a_end   = a_start + ggml_nbytes(a);
+// try and fuse nodes and return the number of nodes to skip
+static int ggml_cuda_try_fuse(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph * cgraph, int i) {
+
+    static bool disable_fusion = getenv("GGML_CUDA_DISABLE_FUSION") != nullptr && std::atoi(getenv("GGML_CUDA_DISABLE_FUSION"));
+    if (disable_fusion) {
+        return 0;
+    }
+
+    ggml_tensor * node = cgraph->nodes[i];
+
+    //topk-moe
+    if (cgraph->nodes[i]->op == GGML_OP_UNARY || cgraph->nodes[i]->op == GGML_OP_SOFT_MAX ||
+            cgraph->nodes[i]->op == GGML_OP_ARGSORT) {
+        ggml_cuda_topk_moe_args args;
+        const bool              can_fuse = ggml_cuda_topk_moe_fusion(cgraph, i, args);
+        std::vector<ggml_op>    ops;
+
+        if (can_fuse) {
+            const ggml_tensor * logits  = node->src[0];
+            ggml_tensor *       weights = nullptr;
+            ggml_tensor *       ids     = nullptr;
+            const ggml_tensor * bias    = nullptr;
+            const ggml_tensor * clamp   = nullptr;
+            const ggml_tensor * scale   = nullptr;
+
+            if (!args.delayed_softmax) {
+                ggml_op gating_op = args.sigmoid ? GGML_OP_UNARY : GGML_OP_SOFT_MAX;
+                int     out_nodes[2];  // nodes which can't be elided
+
+                if (args.prob_bias) {
+                    bias = cgraph->nodes[i + 2]->src[1];
+                    ops.insert(ops.end(), { gating_op, GGML_OP_RESHAPE, GGML_OP_ADD, GGML_OP_ARGSORT, GGML_OP_VIEW,
+                                            GGML_OP_GET_ROWS });
+                    out_nodes[0] = i + 4;
+                    ids          = cgraph->nodes[i + 4];
+                } else {
+                    ops.insert(ops.end(),
+                               { gating_op, GGML_OP_RESHAPE, GGML_OP_ARGSORT, GGML_OP_VIEW, GGML_OP_GET_ROWS });
+                    out_nodes[0] = i + 3;
+                    ids          = cgraph->nodes[i + 3];
+                }
 
-        const int64_t b_start = (int64_t) b->data;
-        const int64_t b_end   = b_start + ggml_nbytes(b);
+                if (args.norm) {
+                    ops.insert(ops.end(),
+                               { GGML_OP_RESHAPE, GGML_OP_SUM_ROWS, GGML_OP_CLAMP, GGML_OP_DIV, GGML_OP_RESHAPE });
+                    clamp = cgraph->nodes[i + ops.size() - 3];
+                }
+                if (args.scale) {
+                    ops.insert(ops.end(), { GGML_OP_SCALE });
+                    scale = cgraph->nodes[i + ops.size() - 1];
+                }
 
-        if ((b_start <= a_start && a_start < b_end) || (a_start <= b_start && b_start < a_end)) {
-            return true;
+                weights      = cgraph->nodes[i + ops.size() - 1];
+                out_nodes[1] = i + ops.size() - 1;
+
+                if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
+                        ggml_cuda_should_use_topk_moe(node, logits, weights, ids) &&
+                        ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2, /*is_topk_moe=*/true)) {
+                    ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
+                    return ops.size() - 1;
+                }
+            } else if (!args.norm && !args.prob_bias) {
+                //special case gpt-oss, no norm, no bias.
+                ops.insert(ops.end(), { GGML_OP_ARGSORT, GGML_OP_VIEW, GGML_OP_GET_ROWS, GGML_OP_RESHAPE,
+                                        GGML_OP_SOFT_MAX, GGML_OP_RESHAPE });
+                weights                     = cgraph->nodes[i + 5];
+                ids                         = cgraph->nodes[i + 1];
+                const ggml_tensor * softmax = cgraph->nodes[i + 4];
+
+                int out_nodes[2] = { i + 1, i + 5 };
+                if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
+                        ggml_cuda_should_use_topk_moe(softmax, logits, weights, ids) &&
+                        ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2, /*is_topk_moe=*/true)) {
+                    ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
+                    return ops.size() - 1;
+                }
+            }
         }
+    }
 
-        return false;
-    };
+    //RoPE + view + set-rows
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_ROPE, GGML_OP_VIEW, GGML_OP_SET_ROWS }, {})) {
+        ggml_tensor * rope     = cgraph->nodes[i];
+        ggml_tensor * set_rows = cgraph->nodes[i + 2];
 
-    bool is_ok = true;
-    // for nrows=1, all fusion operations correctly read the src before writing dst or do it elementwise, so we should be ok
-    if (ggml_nrows(cgraph->nodes[node_idx]) == 1) {
-        return true;
+        ggml_cuda_op_rope_fused(*cuda_ctx, rope, set_rows);
+        return 2;
     }
 
-    for (int i = 0; i < out_count; ++i) {
-        const ggml_tensor * dst = cgraph->nodes[out_nodes[i]];
+    // multi-(add or mul)
+    if (node->op == GGML_OP_ADD || node->op == GGML_OP_MUL) {
+        int     n_fuse = 0;
+        ggml_op ops[8];
+        std::fill(ops, ops + 8, node->op);
 
-        for (int j = node_idx; j < node_idx + node_count; ++j) {
-            // Loop over all srcs of all nodes in the fusion. If the src overlaps
-            // the destination and the src is not an intermediate node that's being
-            // elided, then disable fusion.
+        for (; n_fuse <= 6; ++n_fuse) {
+            if (!ggml_can_fuse(cgraph, i + n_fuse, ops + n_fuse, 2)) {
+                break;
+            }
+            if (cgraph->nodes[i + n_fuse] != cgraph->nodes[i + n_fuse + 1]->src[0]) {
+                break;
+            }
+            if (!ggml_are_same_layout(cgraph->nodes[i + n_fuse]->src[1], cgraph->nodes[i + n_fuse + 1]->src[1])) {
+                break;
+            }
+        }
 
-            for (int src_idx = 0; src_idx < GGML_MAX_SRC; ++src_idx) {
-                const ggml_tensor * src = cgraph->nodes[j]->src[src_idx];
+        n_fuse++;
 
-                if (!src || src->op == GGML_OP_NONE) {
-                    continue;
-                }
+        if (n_fuse > 1) {
+            ggml_tensor fused_node;
+            memcpy(&fused_node, node, sizeof(ggml_tensor));
+            for (int j = 0; j < n_fuse - 1; ++j) {
+                fused_node.src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
+            }
+            fused_node.data = cgraph->nodes[i + n_fuse - 1]->data;
+            if (node->op == GGML_OP_ADD) {
+                ggml_cuda_op_fused_add(*cuda_ctx, &fused_node, n_fuse);
+            } else {
+                ggml_cuda_op_fused_mul(*cuda_ctx, &fused_node, n_fuse);
+            }
+            return n_fuse - 1;
+        }
+    }
 
-                if (nodes_overlap(dst, src)) {
-                    bool found = false;
+    bool fused_mul_mat_vec = false;
+    int  fused_node_count  = 0;
 
-                    for (int k = node_idx; k < j; ++k) {
-                        if (cgraph->nodes[k] == src) {
-                            found = true;
-                            break;
-                        }
-                    }
+    // gate + glu + up
+    for (ggml_op op : { GGML_OP_MUL_MAT, GGML_OP_MUL_MAT_ID }) {
+        const ggml_op bias_op = op == GGML_OP_MUL_MAT ? GGML_OP_ADD : GGML_OP_ADD_ID;
 
-                    if (!found) {
-                        is_ok = false;
-                        break;
+        if (ggml_cuda_can_fuse(cgraph, i, { op, bias_op, op, bias_op, GGML_OP_GLU }, {})) {
+            ggml_tensor * glu         = cgraph->nodes[i + 4];
+            ggml_tensor * gate_bias_n = glu->src[0];
+            ggml_tensor * up_bias_n   = glu->src[1];
+
+            //we don't assume the order for {gate, up}. Instead infer it from the bias tensor
+            ggml_tensor * gate_n = nullptr;
+            ggml_tensor * up_n   = nullptr;
+
+            if (gate_bias_n->src[0] == cgraph->nodes[i] || gate_bias_n->src[1] == cgraph->nodes[i]) {
+                gate_n = cgraph->nodes[i];
+                up_n   = cgraph->nodes[i + 2];
+            } else if (gate_bias_n->src[0] == cgraph->nodes[i + 2] || gate_bias_n->src[1] == cgraph->nodes[i + 2]) {
+                gate_n = cgraph->nodes[i + 2];
+                up_n   = cgraph->nodes[i];
+            } else {
+                continue;
+            }
+
+            auto get_bias_tensor = [](const ggml_tensor * bias_node, const ggml_tensor * mul_node, ggml_op op_bias) {
+                if (op_bias == GGML_OP_ADD) {
+                    if (bias_node->src[0] == mul_node) {
+                        return bias_node->src[1];
                     }
+                    if (bias_node->src[1] == mul_node) {
+                        return bias_node->src[0];
+                    }
+                    return (ggml_tensor *) nullptr;
                 }
+                GGML_ASSERT(op_bias == GGML_OP_ADD_ID);
+                GGML_ASSERT(bias_node->src[0] == mul_node);
+                return bias_node->src[1];
+            };
+
+            ggml_tensor * up_bias_tensor   = get_bias_tensor(up_bias_n, up_n, bias_op);
+            ggml_tensor * gate_bias_tensor = get_bias_tensor(gate_bias_n, gate_n, bias_op);
+
+            if (!up_bias_tensor || !gate_bias_tensor) {
+                continue;
+            }
+
+            // we don't support repeating adds
+            if (bias_op == GGML_OP_ADD && (!ggml_are_same_shape(gate_bias_n->src[0], gate_bias_n->src[1]) ||
+                                           !ggml_are_same_shape(up_bias_n->src[0], up_bias_n->src[1]))) {
+                continue;
+            }
+
+            const ggml_tensor * src0 = up_n->src[0];
+            const ggml_tensor * src1 = up_n->src[1];
+            const ggml_tensor * ids  = up_n->src[2];
+
+            if (ggml_cuda_should_fuse_mul_mat_vec_f(up_n)) {
+                ggml_cuda_mm_fusion_args_host fusion_data{};
+                fusion_data.gate      = gate_n->src[0];
+                fusion_data.x_bias    = up_bias_tensor;
+                fusion_data.gate_bias = gate_bias_tensor;
+                fusion_data.glu_op    = ggml_get_glu_op(glu);
+
+                ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
+                fused_mul_mat_vec = true;
+                fused_node_count  = 5;
+                break;
+            }
+
+            if (ggml_cuda_should_fuse_mul_mat_vec_q(up_n)) {
+                ggml_cuda_mm_fusion_args_host fusion_data{};
+                fusion_data.gate      = gate_n->src[0];
+                fusion_data.x_bias    = up_bias_tensor;
+                fusion_data.gate_bias = gate_bias_tensor;
+                fusion_data.glu_op    = ggml_get_glu_op(glu);
+
+                ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
+                fused_mul_mat_vec = true;
+                fused_node_count  = 5;
+                break;
+            }
+        } else if (ggml_cuda_can_fuse(cgraph, i, { op, op, GGML_OP_GLU }, {})) {
+            ggml_tensor * glu  = cgraph->nodes[i + 2];
+            ggml_tensor * gate = glu->src[0];
+            ggml_tensor * up   = glu->src[1];
+
+            bool ok = (gate == cgraph->nodes[i] && up == cgraph->nodes[i + 1]) ||
+                      (gate == cgraph->nodes[i + 1] && up == cgraph->nodes[i]);
+
+            if (!ok) {
+                continue;
+            }
+
+            const ggml_tensor * src0 = up->src[0];
+            const ggml_tensor * src1 = up->src[1];
+            const ggml_tensor * ids  = up->src[2];
+
+            if (ggml_cuda_should_fuse_mul_mat_vec_f(up)) {
+                ggml_cuda_mm_fusion_args_host fusion_data{};
+                fusion_data.gate   = gate->src[0];
+                fusion_data.glu_op = ggml_get_glu_op(glu);
+
+                ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
+                fused_mul_mat_vec = true;
+                fused_node_count  = 3;
+                break;
+            }
+
+            if (ggml_cuda_should_fuse_mul_mat_vec_q(up)) {
+                ggml_cuda_mm_fusion_args_host fusion_data{};
+                fusion_data.gate   = gate->src[0];
+                fusion_data.glu_op = ggml_get_glu_op(glu);
+
+                ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
+                fused_mul_mat_vec = true;
+                fused_node_count  = 3;
+                break;
             }
         }
     }
 
-    return is_ok;
+    if (fused_mul_mat_vec) {
+        return fused_node_count - 1;
+    }
+
+    fused_mul_mat_vec = false;
+    fused_node_count  = 0;
+
+    // gate + add + glu + up + add
+    for (ggml_op op : { GGML_OP_MUL_MAT, GGML_OP_MUL_MAT_ID }) {
+        const ggml_op bias_op = op == GGML_OP_MUL_MAT ? GGML_OP_ADD : GGML_OP_ADD_ID;
+
+        if (!ggml_can_fuse(cgraph, i, { op, bias_op })) {
+            continue;
+        }
+
+        ggml_tensor * mm_node   = cgraph->nodes[i];
+        ggml_tensor * bias_node = cgraph->nodes[i + 1];
+
+        ggml_tensor * bias_tensor = nullptr;
+        if (bias_op == GGML_OP_ADD) {
+            if (bias_node->src[0] == mm_node) {
+                bias_tensor = bias_node->src[1];
+            } else if (bias_node->src[1] == mm_node) {
+                bias_tensor = bias_node->src[0];
+            } else {
+                continue;
+            }
+        } else {
+            if (bias_node->src[0] != mm_node) {
+                continue;
+            }
+            bias_tensor = bias_node->src[1];
+        }
+
+        const ggml_tensor * src0 = mm_node->src[0];
+        const ggml_tensor * src1 = mm_node->src[1];
+        const ggml_tensor * ids  = mm_node->src[2];
+
+        if (bias_op == GGML_OP_ADD_ID && bias_node->src[2] != ids) {
+            continue;
+        }
+
+        if (bias_op == GGML_OP_ADD && !ggml_are_same_shape(bias_node->src[0], bias_node->src[1])) {
+            continue;
+        }
+
+        ggml_cuda_mm_fusion_args_host fusion_data{};
+        fusion_data.x_bias = bias_tensor;
+
+        if (ggml_cuda_should_fuse_mul_mat_vec_f(mm_node)) {
+            ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, bias_node, &fusion_data);
+            fused_mul_mat_vec = true;
+            fused_node_count  = 2;
+            break;
+        }
+
+        if (ggml_cuda_should_fuse_mul_mat_vec_q(mm_node)) {
+            ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, bias_node, &fusion_data);
+            fused_mul_mat_vec = true;
+            fused_node_count  = 2;
+            break;
+        }
+    }
+
+    if (fused_mul_mat_vec) {
+        return fused_node_count - 1;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL, GGML_OP_ADD }, {})) {
+        ggml_cuda_op_rms_norm_fused_add(*cuda_ctx, node, cgraph->nodes[i + 1], cgraph->nodes[i + 2]);
+        return 2;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL }, {})) {
+        ggml_cuda_op_rms_norm_fused(*cuda_ctx, node, cgraph->nodes[i + 1]);
+        return 1;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_ADD, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) {
+        ggml_cuda_op_ssm_conv(*cuda_ctx, node, cgraph->nodes[i + 1], cgraph->nodes[i + 2]);
+        return 2;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) {
+        ggml_cuda_op_ssm_conv(*cuda_ctx, node, /*bias_add_node=*/ nullptr, cgraph->nodes[i + 1]);
+        return 1;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SILU }) ||
+        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SIGMOID }) ||
+        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SOFTPLUS })) {
+        ggml_cuda_op_unary_mul(*cuda_ctx, node, cgraph->nodes[i + 1]);
+        return 1;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_SQR }, { GGML_UNARY_OP_RELU })) {
+        ggml_cuda_op_relu_sqr(*cuda_ctx, node, cgraph->nodes[i + 1]);
+        return 1;
+    }
+
+    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SCALE, GGML_OP_UNARY, GGML_OP_SCALE }, { GGML_UNARY_OP_TANH })) {
+        ggml_cuda_op_softcap(*cuda_ctx, cgraph->nodes[i + 2], node);
+        return 2;
+    }
+
+    return 0;
 }
 
 static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cuda_ctx, ggml_cgraph * cgraph, const bool use_cuda_graph, const bool cuda_graph_update_required, const void * graph_key) {
@@ -3772,345 +4260,11 @@ static void ggml_cuda_graph_evaluate_and_capture(ggml_backend_cuda_context * cud
                     continue;
                 }
 
-                // start of fusion operations
-                static bool disable_fusion = (getenv("GGML_CUDA_DISABLE_FUSION") != nullptr);
-                if (!disable_fusion) {
-                    ggml_cuda_topk_moe_args args;
-
-                    if (cgraph->nodes[i]->op == GGML_OP_UNARY || cgraph->nodes[i]->op == GGML_OP_SOFT_MAX ||
-                        cgraph->nodes[i]->op == GGML_OP_ARGSORT) {
-                        const bool can_fuse = ggml_cuda_topk_moe_fusion(cgraph, i, args);
-
-                        std::vector<ggml_op> ops;
-
-                        if (can_fuse) {
-                            const ggml_tensor * logits  = node->src[0];
-                            ggml_tensor *       weights = nullptr;
-                            ggml_tensor *       ids     = nullptr;
-                            const ggml_tensor * bias    = nullptr;
-                            const ggml_tensor * clamp   = nullptr;
-                            const ggml_tensor * scale   = nullptr;
-
-                            if (!args.delayed_softmax) {
-                                ggml_op gating_op = args.sigmoid ? GGML_OP_UNARY : GGML_OP_SOFT_MAX;
-                                int     out_nodes[2];  // nodes which can't be elided
-
-                                if (args.prob_bias) {
-                                    bias = cgraph->nodes[i + 2]->src[1];
-                                    ops.insert(ops.end(), { gating_op, GGML_OP_RESHAPE, GGML_OP_ADD, GGML_OP_ARGSORT,
-                                                            GGML_OP_VIEW, GGML_OP_GET_ROWS });
-                                    out_nodes[0] = i + 4;
-                                    ids          = cgraph->nodes[i + 4];
-                                } else {
-                                    ops.insert(ops.end(), { gating_op, GGML_OP_RESHAPE, GGML_OP_ARGSORT, GGML_OP_VIEW,
-                                                            GGML_OP_GET_ROWS });
-                                    out_nodes[0] = i + 3;
-                                    ids          = cgraph->nodes[i + 3];
-                                }
-
-                                if (args.norm) {
-                                    ops.insert(ops.end(), { GGML_OP_RESHAPE, GGML_OP_SUM_ROWS, GGML_OP_CLAMP,
-                                                            GGML_OP_DIV, GGML_OP_RESHAPE });
-                                    clamp = cgraph->nodes[i + ops.size() - 3];
-                                }
-                                if (args.scale) {
-                                    ops.insert(ops.end(), { GGML_OP_SCALE });
-                                    scale = cgraph->nodes[i + ops.size() - 1];
-                                }
-
-                                weights      = cgraph->nodes[i + ops.size() - 1];
-                                out_nodes[1] = i + ops.size() - 1;
-
-                                if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
-                                    ggml_cuda_should_use_topk_moe(node, logits, weights, ids) &&
-                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
-                                    ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
-                                    i += ops.size() - 1;
-                                    continue;
-                                }
-                            } else if (!args.norm && !args.prob_bias) {
-                                //special case gpt-oss, no norm, no bias.
-                                ops.insert(ops.end(), { GGML_OP_ARGSORT, GGML_OP_VIEW, GGML_OP_GET_ROWS,
-                                                        GGML_OP_RESHAPE, GGML_OP_SOFT_MAX, GGML_OP_RESHAPE });
-                                weights                     = cgraph->nodes[i + 5];
-                                ids                         = cgraph->nodes[i + 1];
-                                const ggml_tensor * softmax = cgraph->nodes[i + 4];
-
-                                int out_nodes[2] = { i + 1, i + 5 };
-                                if (ggml_can_fuse_subgraph(cgraph, i, ops.size(), ops.data(), out_nodes, 2) &&
-                                    ggml_cuda_should_use_topk_moe(softmax, logits, weights, ids) &&
-                                    ggml_cuda_check_fusion_memory_ranges(cgraph, i, ops.size(), out_nodes, 2)) {
-                                    ggml_cuda_op_topk_moe(*cuda_ctx, logits, weights, ids, clamp, scale, bias, args);
-                                    i += ops.size() - 1;
-                                    continue;
-                                }
-                            }
-                        }
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_ROPE, GGML_OP_VIEW, GGML_OP_SET_ROWS }, {})) {
-                        ggml_tensor * rope = cgraph->nodes[i];
-                        ggml_tensor * set_rows = cgraph->nodes[i + 2];
-
-                        ggml_cuda_op_rope_fused(*cuda_ctx, rope, set_rows);
-                        i += 2;
-                        continue;
-                    }
-
-                    if (node->op == GGML_OP_ADD) {
-                        int n_fuse = 0;
-                        ggml_op ops[8];
-                        std::fill(ops, ops + 8, GGML_OP_ADD);
-
-                        for (; n_fuse <= 6; ++n_fuse){
-                            if (!ggml_can_fuse(cgraph, i + n_fuse, ops + n_fuse, 2)) {
-                                break;
-                            }
-                            if (cgraph->nodes[i + n_fuse] != cgraph->nodes[i + n_fuse + 1]->src[0]) {
-                                break;
-                            }
-                            if (!ggml_are_same_layout(cgraph->nodes[i + n_fuse]->src[1], cgraph->nodes[i + n_fuse + 1]->src[1])) {
-                                break;
-                            }
-                        }
-
-                        n_fuse++;
-
-                        if (n_fuse > 1) {
-                            ggml_tensor fused_add_node;
-                            memcpy(&fused_add_node, node, sizeof(ggml_tensor));
-                            for (int j = 0; j < n_fuse - 1; ++j) {
-                                fused_add_node.src[j + 2] = cgraph->nodes[i + j + 1]->src[1];
-                            }
-                            fused_add_node.data = cgraph->nodes[i + n_fuse - 1]->data;
-                            ggml_cuda_op_fused_add(*cuda_ctx, &fused_add_node, n_fuse);
-                            i += n_fuse - 1;
-
-                            continue;
-                        }
-                    }
-
-                    bool fused_mul_mat_vec = false;
-                    int fused_node_count = 0;
-
-                    for (ggml_op op : { GGML_OP_MUL_MAT, GGML_OP_MUL_MAT_ID }) {
-                        const ggml_op bias_op = op == GGML_OP_MUL_MAT ? GGML_OP_ADD : GGML_OP_ADD_ID;
-
-                        if (ggml_cuda_can_fuse(cgraph, i, { op, bias_op, op, bias_op, GGML_OP_GLU }, {})) {
-                            ggml_tensor * glu         = cgraph->nodes[i + 4];
-                            ggml_tensor * gate_bias_n = glu->src[0];
-                            ggml_tensor * up_bias_n   = glu->src[1];
-
-                            //we don't assume the order for {gate, up}. Instead infer it from the bias tensor
-                            ggml_tensor * gate_n      = nullptr;
-                            ggml_tensor * up_n        = nullptr;
-
-                            if (gate_bias_n->src[0] == cgraph->nodes[i] || gate_bias_n->src[1] == cgraph->nodes[i]) {
-                                gate_n = cgraph->nodes[i];
-                                up_n   = cgraph->nodes[i + 2];
-                            } else if (gate_bias_n->src[0] == cgraph->nodes[i + 2] || gate_bias_n->src[1] == cgraph->nodes[i + 2]) {
-                                gate_n = cgraph->nodes[i + 2];
-                                up_n   = cgraph->nodes[i];
-                            } else {
-                                continue;
-                            }
-
-                            auto get_bias_tensor = [](const ggml_tensor * bias_node, const ggml_tensor * mul_node, ggml_op op_bias) {
-                                if (op_bias == GGML_OP_ADD) {
-                                    if (bias_node->src[0] == mul_node) {
-                                        return bias_node->src[1];
-                                    }
-                                    if (bias_node->src[1] == mul_node) {
-                                        return bias_node->src[0];
-                                    }
-                                    return (ggml_tensor *) nullptr;
-                                }
-                                GGML_ASSERT(op_bias == GGML_OP_ADD_ID);
-                                GGML_ASSERT(bias_node->src[0] == mul_node);
-                                return bias_node->src[1];
-                            };
-
-                            ggml_tensor * up_bias_tensor   = get_bias_tensor(up_bias_n, up_n, bias_op);
-                            ggml_tensor * gate_bias_tensor = get_bias_tensor(gate_bias_n, gate_n, bias_op);
-
-                            if (!up_bias_tensor || !gate_bias_tensor) {
-                                continue;
-                            }
-
-                            // we don't support repeating adds
-                            if (bias_op == GGML_OP_ADD &&
-                                (!ggml_are_same_shape(gate_bias_n->src[0], gate_bias_n->src[1]) ||
-                                 !ggml_are_same_shape(up_bias_n->src[0], up_bias_n->src[1]))) {
-                                continue;
-                            }
-
-                            const ggml_tensor * src0 = up_n->src[0];
-                            const ggml_tensor * src1 = up_n->src[1];
-                            const ggml_tensor * ids  = up_n->src[2];
-
-                            if (ggml_cuda_should_fuse_mul_mat_vec_f(up_n)) {
-                                ggml_cuda_mm_fusion_args_host fusion_data{};
-                                fusion_data.gate      = gate_n->src[0];
-                                fusion_data.x_bias    = up_bias_tensor;
-                                fusion_data.gate_bias = gate_bias_tensor;
-                                fusion_data.glu_op    = ggml_get_glu_op(glu);
-
-                                ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
-                                fused_mul_mat_vec = true;
-                                fused_node_count = 5;
-                                break;
-                            }
-
-                            if (ggml_cuda_should_fuse_mul_mat_vec_q(up_n)) {
-                                ggml_cuda_mm_fusion_args_host fusion_data{};
-                                fusion_data.gate      = gate_n->src[0];
-                                fusion_data.x_bias    = up_bias_tensor;
-                                fusion_data.gate_bias = gate_bias_tensor;
-                                fusion_data.glu_op    = ggml_get_glu_op(glu);
-
-                                ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
-                                fused_mul_mat_vec = true;
-                                fused_node_count = 5;
-                                break;
-                            }
-                        } else if (ggml_cuda_can_fuse(cgraph, i, { op, op, GGML_OP_GLU }, {})) {
-                            ggml_tensor * glu  = cgraph->nodes[i + 2];
-                            ggml_tensor * gate = glu->src[0];
-                            ggml_tensor * up   = glu->src[1];
-
-                            bool ok = (gate == cgraph->nodes[i] && up == cgraph->nodes[i + 1])
-                                || (gate == cgraph->nodes[i + 1] && up == cgraph->nodes[i]);
-
-                            if (!ok) continue;
-
-                            const ggml_tensor * src0 = up->src[0];
-                            const ggml_tensor * src1 = up->src[1];
-                            const ggml_tensor * ids  = up->src[2];
-
-                            if (ggml_cuda_should_fuse_mul_mat_vec_f(up)) {
-                                ggml_cuda_mm_fusion_args_host fusion_data{};
-                                fusion_data.gate   = gate->src[0];
-                                fusion_data.glu_op = ggml_get_glu_op(glu);
-
-                                ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
-                                fused_mul_mat_vec = true;
-                                fused_node_count = 3;
-                                break;
-                            }
-
-                            if (ggml_cuda_should_fuse_mul_mat_vec_q(up)) {
-                                ggml_cuda_mm_fusion_args_host fusion_data{};
-                                fusion_data.gate   = gate->src[0];
-                                fusion_data.glu_op = ggml_get_glu_op(glu);
-
-                                ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, glu, &fusion_data);
-                                fused_mul_mat_vec = true;
-                                fused_node_count = 3;
-                                break;
-                            }
-                        }
-                    }
-
-                    if (fused_mul_mat_vec) {
-                        i += fused_node_count - 1;
-                        continue;
-                    }
-
-                    fused_mul_mat_vec = false;
-                    fused_node_count = 0;
-
-                    for (ggml_op op : { GGML_OP_MUL_MAT, GGML_OP_MUL_MAT_ID }) {
-                        const ggml_op bias_op = op == GGML_OP_MUL_MAT ? GGML_OP_ADD : GGML_OP_ADD_ID;
-
-                        if (!ggml_can_fuse(cgraph, i, { op, bias_op })) {
-                            continue;
-                        }
-
-                        ggml_tensor * mm_node   = cgraph->nodes[i];
-                        ggml_tensor * bias_node = cgraph->nodes[i + 1];
-
-                        ggml_tensor * bias_tensor = nullptr;
-                        if (bias_op == GGML_OP_ADD) {
-                            if (bias_node->src[0] == mm_node) {
-                                bias_tensor = bias_node->src[1];
-                            } else if (bias_node->src[1] == mm_node) {
-                                bias_tensor = bias_node->src[0];
-                            } else {
-                                continue;
-                            }
-                        } else {
-                            if (bias_node->src[0] != mm_node) {
-                                continue;
-                            }
-                            bias_tensor = bias_node->src[1];
-                        }
-
-                        const ggml_tensor * src0 = mm_node->src[0];
-                        const ggml_tensor * src1 = mm_node->src[1];
-                        const ggml_tensor * ids  = mm_node->src[2];
+                int nodes_to_skip = ggml_cuda_try_fuse(cuda_ctx, cgraph, i);
 
-                        if (bias_op == GGML_OP_ADD_ID && bias_node->src[2] != ids) {
-                            continue;
-                        }
-
-                        if (bias_op == GGML_OP_ADD && !ggml_are_same_shape(bias_node->src[0], bias_node->src[1])) {
-                            continue;
-                        }
-
-                        ggml_cuda_mm_fusion_args_host fusion_data{};
-                        fusion_data.x_bias = bias_tensor;
-
-                        if (ggml_cuda_should_fuse_mul_mat_vec_f(mm_node)) {
-                            ggml_cuda_mul_mat_vec_f(*cuda_ctx, src0, src1, ids, bias_node, &fusion_data);
-                            fused_mul_mat_vec = true;
-                            fused_node_count = 2;
-                            break;
-                        }
-
-                        if (ggml_cuda_should_fuse_mul_mat_vec_q(mm_node)) {
-                            ggml_cuda_mul_mat_vec_q(*cuda_ctx, src0, src1, ids, bias_node, &fusion_data);
-                            fused_mul_mat_vec = true;
-                            fused_node_count = 2;
-                            break;
-                        }
-                    }
-
-                    if (fused_mul_mat_vec) {
-                        i += fused_node_count - 1;
-                        continue;
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL, GGML_OP_ADD}, {})) {
-                        ggml_cuda_op_rms_norm_fused_add(*cuda_ctx, node, cgraph->nodes[i+1], cgraph->nodes[i+2]);
-                        i += 2;
-                        continue;
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_RMS_NORM, GGML_OP_MUL}, {})) {
-                        ggml_cuda_op_rms_norm_fused(*cuda_ctx, node, cgraph->nodes[i+1]);
-                        i++;
-                        continue;
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SSM_CONV, GGML_OP_UNARY }, { GGML_UNARY_OP_SILU })) {
-                        ggml_cuda_op_ssm_conv(*cuda_ctx, node, cgraph->nodes[i+1]);
-                        i++;
-                        continue;
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SILU }) ||
-                        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SIGMOID }) ||
-                        ggml_cuda_can_fuse(cgraph, i, { GGML_OP_UNARY, GGML_OP_MUL }, { GGML_UNARY_OP_SOFTPLUS })) {
-                        ggml_cuda_op_unary_mul(*cuda_ctx, node, cgraph->nodes[i+1]);
-                        i++;
-                        continue;
-                    }
-
-                    if (ggml_cuda_can_fuse(cgraph, i, { GGML_OP_SCALE, GGML_OP_UNARY, GGML_OP_SCALE }, { GGML_UNARY_OP_TANH })) {
-                        i += 2;
-                        ggml_cuda_op_softcap(*cuda_ctx, cgraph->nodes[i], node);
-                        continue;
-                    }
+                if (nodes_to_skip != 0) {
+                    i += nodes_to_skip;
+                    continue;
                 }
 #ifndef NDEBUG
                 assert(node->buffer->buft == ggml_backend_cuda_buffer_type(cuda_ctx->device));
@@ -4524,6 +4678,8 @@ static const ggml_backend_i ggml_backend_cuda_interface = {
     /* .free                    = */ ggml_backend_cuda_free,
     /* .set_tensor_async        = */ ggml_backend_cuda_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_cuda_get_tensor_async,
+    /* .set_tensor_2d_async     = */ ggml_backend_cuda_set_tensor_2d_async,
+    /* .get_tensor_2d_async     = */ ggml_backend_cuda_get_tensor_2d_async,
     /* .cpy_tensor_async        = */ ggml_backend_cuda_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_cuda_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -4948,6 +5104,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
                 switch (a->type) {
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -4987,6 +5144,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
                     case GGML_TYPE_F32:
                     case GGML_TYPE_BF16:
                     case GGML_TYPE_I32:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -5405,6 +5563,15 @@ static ggml_backend_feature * ggml_backend_cuda_get_features(ggml_backend_reg_t
 
 static void * ggml_backend_cuda_reg_get_proc_address(ggml_backend_reg_t reg, const char * name) {
     GGML_UNUSED(reg);
+    if (strcmp(name, "ggml_backend_comm_init") == 0) {
+        return (void *)ggml_backend_cuda_comm_init;
+    }
+    if (strcmp(name, "ggml_backend_comm_free") == 0) {
+        return (void *)ggml_backend_cuda_comm_free;
+    }
+    if (strcmp(name, "ggml_backend_comm_allreduce_tensor") == 0) {
+        return (void *)ggml_backend_cuda_comm_allreduce_tensor;
+    }
     if (strcmp(name, "ggml_backend_split_buffer_type") == 0) {
         return (void *)ggml_backend_cuda_split_buffer_type;
     }
@@ -5448,8 +5615,8 @@ ggml_backend_reg_t ggml_backend_cuda_reg() {
                 CUDA_CHECK(cudaGetDeviceProperties(&prop, i));
                 dev_ctx->description = prop.name;
 
-                char pci_bus_id[16] = {};
-                snprintf(pci_bus_id, sizeof(pci_bus_id), "%04x:%02x:%02x.0", prop.pciDomainID, prop.pciBusID, prop.pciDeviceID);
+                char pci_bus_id[32] = {};
+                CUDA_CHECK(cudaDeviceGetPCIBusId(pci_bus_id, sizeof(pci_bus_id), i));
                 dev_ctx->pci_bus_id = pci_bus_id;
                 dev_ctx->op_offload_min_batch_size = min_batch_size;
 
diff --git a/ggml/src/ggml-cuda/mma.cuh b/ggml/src/ggml-cuda/mma.cuh
index 5d1dadd3e..79bb2934c 100644
--- a/ggml/src/ggml-cuda/mma.cuh
+++ b/ggml/src/ggml-cuda/mma.cuh
@@ -86,17 +86,12 @@ namespace ggml_cuda_mma {
     //   - (I_MAJOR, I_MAJOR_MIRRORED) -> I_MAJOR
     //   - (I_MAJOR, J_MAJOR_MIRRORED) -> I_MAJOR
 
-    static constexpr bool is_i_major(const data_layout dl) {
-        return dl == DATA_LAYOUT_I_MAJOR ||
-               dl == DATA_LAYOUT_I_MAJOR_MIRRORED;
-    }
-
     static constexpr __device__ data_layout get_input_data_layout() {
-#if defined(RDNA3) || __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(RDNA3) || defined(VOLTA_MMA_AVAILABLE)
         return DATA_LAYOUT_I_MAJOR_MIRRORED;
 #else
         return DATA_LAYOUT_I_MAJOR;
-#endif // defined(RDNA3) || __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(RDNA3) || defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <int I_, int J_, typename T, data_layout ds_=DATA_LAYOUT_I_MAJOR>
@@ -113,7 +108,6 @@ namespace ggml_cuda_mma {
         T x[ne] = {0};
 
         static constexpr __device__ bool supported() {
-            if (I == 64 && J ==  2) return true;
             if (I == 16 && J ==  8) return true;
             if (I == 32 && J ==  4) return true;
             if (I == 16 && J == 16) return true;
@@ -122,7 +116,7 @@ namespace ggml_cuda_mma {
         }
 
         static __device__ __forceinline__ int get_i(const int l) {
-            if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
+            if constexpr (I == 16 && J == 4) {
                 return threadIdx.x % 16;
             } else if constexpr (I == 16 && J == 8) {
                 return threadIdx.x % 16;
@@ -139,8 +133,8 @@ namespace ggml_cuda_mma {
         }
 
         static __device__ __forceinline__ int get_j(const int l) {
-            if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
-                return (2 * ((threadIdx.x / 16) % 2) + l);
+            if constexpr (I == 16 && J == 4) {
+                return threadIdx.x / 16;
             } else if constexpr (I == 16 && J == 8) {
                 return 2 * (threadIdx.x / 16) + l;
             } else if constexpr (I == 32 && J == 4) {
@@ -154,7 +148,7 @@ namespace ggml_cuda_mma {
                 return -1;
             }
         }
-#elif __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#elif defined(VOLTA_MMA_AVAILABLE)
         static constexpr int ne = I * J / 32;
         T x[ne] = {0};
 
@@ -283,7 +277,7 @@ namespace ggml_cuda_mma {
         static constexpr int         J  = J_;
         static constexpr data_layout dl = DATA_LAYOUT_I_MAJOR;
 
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         static constexpr int ne = I * J / WARP_SIZE;
         half2 x[ne] = {{0.0f, 0.0f}};
 
@@ -407,7 +401,7 @@ namespace ggml_cuda_mma {
                 return -1;
             }
         }
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     };
 
     template <int I_, int J_>
@@ -701,57 +695,12 @@ namespace ggml_cuda_mma {
     }
 #endif // defined(TURING_MMA_AVAILABLE)
 
-    static __device__ __forceinline__ void make_identity_mat(tile<16, 8, half2> & t) {
-#if defined(RDNA4)
-        const int row = t.get_i(0);
-        const int left_right = t.get_j(0) / 4;
-        const int up_down = row / 8;
-        const int idx = row % 8;
-        reinterpret_cast<half*>(t.x)[idx] = left_right == up_down ? 1.0f : 0.0f;
-#else
-        GGML_UNUSED_VARS(t);
-        NO_DEVICE_CODE;
-#endif // defined(RDNA4)
-    }
-
     template <int I, int J, typename T, data_layout dl>
     static __device__ __forceinline__ void load_generic(tile<I, J, T, dl> & t, const T * __restrict__ xs0, const int stride) {
-#if defined(AMD_MFMA_AVAILABLE)
-        if constexpr (I == 64 && J == 2) { // Special tile size to load <16, 4> as <16, 8>
-#pragma unroll
-            for (int l = 0; l < t.ne; ++l) {
-                t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
-            }
-        } else {
-            ggml_cuda_memcpy_1<sizeof(t.x)>(t.x, xs0 + t.get_i(0) * stride + t.get_j(0));
-        }
-#elif defined(AMD_WMMA_AVAILABLE)
-        // All wmma layout has contiguous data when i-major.
-        if constexpr (is_i_major(dl)) {
-            // the data must be aligned to 16 bytes when bigger than ggml_cuda_get_max_cpy_bytes()
-            constexpr int aligned_copy_bytes = ggml_cuda_get_max_cpy_bytes();
-            if constexpr (sizeof(t.x) > aligned_copy_bytes) {
-                static_assert(sizeof(t.x) % aligned_copy_bytes == 0, "bad type size");
-                constexpr int aligned_copy_count = sizeof(t.x)/aligned_copy_bytes;
-#pragma unroll
-                for (int i = 0; i < aligned_copy_count; ++i) {
-                    ggml_cuda_memcpy_1<aligned_copy_bytes>(t.x + t.ne/aligned_copy_count*i, xs0 + t.get_i(0) * stride + t.get_j(t.ne/aligned_copy_count*i));
-                }
-            } else {
-                ggml_cuda_memcpy_1<sizeof(t.x)>(t.x, xs0 + t.get_i(0) * stride + t.get_j(0));
-            }
-        } else {
-#pragma unroll
-            for (int l = 0; l < t.ne; ++l) {
-                t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
-            }
-        }
-#else
 #pragma unroll
         for (int l = 0; l < t.ne; ++l) {
             t.x[l] = xs0[t.get_i(l)*stride + t.get_j(l)];
         }
-#endif // defined(AMD_MFMA_AVAILABLE)
     }
 
     template <typename T>
@@ -764,26 +713,37 @@ namespace ggml_cuda_mma {
             : "=r"(xi[0]), "=r"(xi[1])
             : "l"(xs));
 #else
-        load_generic(t, xs0, stride);
+        GGML_UNUSED_VARS(t, xs0, stride);
+        NO_DEVICE_CODE;
 #endif // TURING_MMA_AVAILABLE
     }
 
-    template <typename T>
+    template <typename T, data_layout dl>
     static __device__ __forceinline__ void load_ldmatrix(
-            tile<16, 4, T> & t, const T * __restrict__ xs0, const int stride) {
+            tile<16, 4, T, dl> & t, const T * __restrict__ xs0, const int stride) {
 #ifdef TURING_MMA_AVAILABLE
         int * xi = (int *) t.x;
         const int * xs = (const int *) xs0 + (threadIdx.x % t.I) * stride;
         asm volatile("ldmatrix.sync.aligned.m8n8.x2.b16 {%0, %1}, [%2];"
             : "=r"(xi[0]), "=r"(xi[1])
             : "l"(xs));
+#elif defined(AMD_WMMA_AVAILABLE)
+#ifdef RDNA3
+        static_assert(dl == DATA_LAYOUT_I_MAJOR_MIRRORED, "bad data layout");
+        static_assert(sizeof(t.x) == 16, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
+        ggml_cuda_memcpy_1<8>(t.x + 2, xs0 + t.get_i(0)*stride + 2);
+#else
+        static_assert(dl == DATA_LAYOUT_I_MAJOR, "bad data layout");
+        static_assert(sizeof(t.x) == 8, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
+#endif // RDNA3
+#elif defined(AMD_MFMA_AVAILABLE)
+        static_assert(sizeof(t.x) == 4, "bad ne");
+        ggml_cuda_memcpy_1<4>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
 #else
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
-#else
-        load_generic(t, xs0, stride);
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
 #endif // TURING_MMA_AVAILABLE
     }
 
@@ -796,19 +756,26 @@ namespace ggml_cuda_mma {
         asm volatile("ldmatrix.sync.aligned.m8n8.x4.b16 {%0, %1, %2, %3}, [%4];"
             : "=r"(xi[0]), "=r"(xi[1]), "=r"(xi[2]), "=r"(xi[3])
             : "l"(xs));
-#else
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
-#if 1
-        // TODO: more generic handling
-        static_assert(sizeof(T) == 4, "bad type size");
+#elif defined(VOLTA_MMA_AVAILABLE)
         ggml_cuda_memcpy_1<4*sizeof(T)>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
         ggml_cuda_memcpy_1<4*sizeof(T)>(t.x + 4, xs0 + t.get_i(4)*stride + 4);
+#elif defined(AMD_WMMA_AVAILABLE)
+#ifdef RDNA3
+        static_assert(dl == DATA_LAYOUT_I_MAJOR_MIRRORED, "bad data layout");
+        static_assert(sizeof(t.x) == 32, "bad ne");
+        ggml_cuda_memcpy_1<16>(t.x + 0, xs0 + t.get_i(0)*stride + 0);
+        ggml_cuda_memcpy_1<16>(t.x + 4, xs0 + t.get_i(0)*stride + 4);
 #else
-        load_generic(t, xs0, stride);
-#endif // 1
+        static_assert(dl == DATA_LAYOUT_I_MAJOR, "bad data layout");
+        static_assert(sizeof(t.x) == 16, "bad ne");
+        ggml_cuda_memcpy_1<16>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
+#endif // RDNA3
+#elif defined(AMD_MFMA_AVAILABLE)
+        static_assert(sizeof(t.x) == 8, "bad ne");
+        ggml_cuda_memcpy_1<8>(t.x, xs0 + t.get_i(0)*stride + t.get_j(0));
 #else
-        load_generic(t, xs0, stride);
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+        GGML_UNUSED_VARS(t, xs0, stride);
+        NO_DEVICE_CODE;
 #endif // TURING_MMA_AVAILABLE
     }
 
@@ -827,23 +794,30 @@ namespace ggml_cuda_mma {
 
     static __device__ __forceinline__ void load_ldmatrix(
             tile<32, 4, half2> & t, const half2 * __restrict__ xs0, const int stride) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         ggml_cuda_memcpy_1<4*sizeof(half2)>(t.x, xs0 + t.get_i(0)*stride);
 #else
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <typename T>
     static __device__ __forceinline__ void load_ldmatrix_trans(
             tile<16, 8, T> & t, const T * __restrict__ xs0, const int stride) {
 #ifdef TURING_MMA_AVAILABLE
-        int * xi = (int * ) t.x;
+        int * xi = (int *) t.x;
         const int * xs = (const int *) xs0 + (threadIdx.x % t.I) * stride + (threadIdx.x / t.I) * (t.J / 2);
         asm volatile("ldmatrix.sync.aligned.m8n8.x4.trans.b16 {%0, %1, %2, %3}, [%4];"
             : "=r"(xi[0]), "=r"(xi[2]), "=r"(xi[1]), "=r"(xi[3])
             : "l"(xs));
+#elif defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        half * xh = (half *) t.x;
+#pragma unroll
+        for (int l = 0; l < t.ne; ++l) {
+            xh[2*l + 0] = ((const half *) xs0)[(2*t.get_j(l) + 0)*(2*stride) + t.get_i(l)];
+            xh[2*l + 1] = ((const half *) xs0)[(2*t.get_j(l) + 1)*(2*stride) + t.get_i(l)];
+        }
 #else
         GGML_UNUSED_VARS(t, xs0, stride);
         NO_DEVICE_CODE;
@@ -1025,7 +999,8 @@ namespace ggml_cuda_mma {
         const floatx2_t& a_frag = reinterpret_cast<const floatx2_t&>(A.x[0]);
         const floatx2_t& b_frag = reinterpret_cast<const floatx2_t&>(B.x[0]);
         acc_frag = __builtin_amdgcn_mfma_f32_16x16x8_xf32(a_frag, b_frag, acc_frag, 0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA1)
+#elif defined(CDNA4) || defined(CDNA2) || defined(CDNA1)
+        // CDNA4 (gfx950) does not support xf32 MFMA, use f32 path like CDNA2/CDNA1
 #pragma unroll
         for (int i = 0; i < 2; ++i) {
             acc_frag = __builtin_amdgcn_mfma_f32_16x16x4f32(A.x[i], B.x[i], acc_frag, 0, 0, 0);
@@ -1040,25 +1015,35 @@ namespace ggml_cuda_mma {
 #endif // AMD_MFMA_AVAILABLE
     }
 
-    static __device__ __forceinline__ void mma_block_scaled(tile<16, 8, float> &     D,
-                                                            const tile<16, 8, int> & A,
-                                                            const tile<8, 8, int> &  B,
-                                                            uint32_t                 a_scale,
-                                                            uint32_t                 b_scale) {
+    template <ggml_type type>
+    static __device__ __forceinline__ void mma_block_scaled_fp4(tile<16, 8, float> &     D,
+                                                                const tile<16, 8, int> & A,
+                                                                const tile<8, 8, int> &  B,
+                                                                uint32_t                 a_scale,
+                                                                uint32_t                 b_scale) {
 #ifdef BLACKWELL_MMA_AVAILABLE
         const int * Axi = (const int *) A.x;
         const int * Bxi = (const int *) B.x;
         float *     Dxi = (float *) D.x;
 
-        asm volatile(
-            "mma.sync.aligned.kind::mxf4.block_scale.scale_vec::2X.m16n8k64.row.col.f32.e2m1.e2m1.f32.ue8m0 "
-            "{%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3}, "
-            "%10, {0, 0}, %11, {0, 0};"
-            : "+f"(Dxi[0]), "+f"(Dxi[1]), "+f"(Dxi[2]), "+f"(Dxi[3])
-            : "r"(Axi[0]), "r"(Axi[1]), "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[0]), "r"(Bxi[1]), "r"(a_scale), "r"(b_scale));
+        if constexpr (type == GGML_TYPE_MXFP4) {
+            asm volatile(
+                "mma.sync.aligned.kind::mxf4.block_scale.scale_vec::2X.m16n8k64.row.col.f32.e2m1.e2m1.f32.ue8m0 "
+                "{%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3}, "
+                "%10, {0, 0}, %11, {0, 0};"
+                : "+f"(Dxi[0]), "+f"(Dxi[1]), "+f"(Dxi[2]), "+f"(Dxi[3])
+                : "r"(Axi[0]), "r"(Axi[1]), "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[0]), "r"(Bxi[1]), "r"(a_scale), "r"(b_scale));
+        } else {
+            asm volatile(
+                "mma.sync.aligned.kind::mxf4nvf4.block_scale.scale_vec::4X.m16n8k64.row.col.f32.e2m1.e2m1.f32.ue4m3 "
+                "{%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3}, "
+                "%10, {0, 0}, %11, {0, 0};"
+                : "+f"(Dxi[0]), "+f"(Dxi[1]), "+f"(Dxi[2]), "+f"(Dxi[3])
+                : "r"(Axi[0]), "r"(Axi[1]), "r"(Axi[2]), "r"(Axi[3]), "r"(Bxi[0]), "r"(Bxi[1]), "r"(a_scale), "r"(b_scale));
+        }
 #else
         GGML_UNUSED_VARS(D, A, B, a_scale, b_scale);
-#endif  // BLACKWELL_MMA_AVAILABLE
+#endif // BLACKWELL_MMA_AVAILABLE
     }
 
     static __device__ __forceinline__ void mma(
@@ -1187,7 +1172,7 @@ namespace ggml_cuda_mma {
 #elif defined(AMD_MFMA_AVAILABLE)
         using floatx4_t = __attribute__((ext_vector_type(4))) float;
         floatx4_t& acc_frag = reinterpret_cast<floatx4_t&>(D.x[0]);
-#if defined(CDNA3) || defined(CDNA2)
+#if defined(CDNA4) || defined(CDNA3) || defined(CDNA2)
         using bf16x4_t = __attribute__((ext_vector_type(4))) __bf16;
         const bf16x4_t& a_frag = reinterpret_cast<const bf16x4_t&>(A.x[0]);
         const bf16x4_t& b_frag = reinterpret_cast<const bf16x4_t&>(B.x[0]);
@@ -1216,74 +1201,28 @@ namespace ggml_cuda_mma {
 #if defined(AMD_MFMA_AVAILABLE)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * acc = (int32x4_t *) D.x;
-#if defined(CDNA3)
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(((int64_t *) A.x)[0],
-                                                       ((int64_t *) B.x)[0],
-                                                       acc[0],
-                                                       0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA)
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0],
-                                                      B.x[0],
-                                                      acc[0],
-                                                      0, 0, 0);
-        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[1],
-                                                      B.x[1],
-                                                      acc[0],
-                                                      0, 0, 0);
-#endif // defined(CDNA3)
-
+#if defined(CDNA4) || defined(CDNA3)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(((int64_t *) A.x)[0], ((int64_t *) B.x)[0], acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[1], B.x[1], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
 #elif defined(AMD_WMMA_AVAILABLE)
-
         using int32x8_t = __attribute__((__vector_size__(8 * sizeof(int)))) int;
         int32x8_t * acc = (int32x8_t *) D.x;
-
 #if defined(RDNA4)
         using int32x2_t = __attribute__((__vector_size__(2 * sizeof(int)))) int;
         int32x2_t * a_vec = (int32x2_t *) A.x;
         int32x2_t * b_vec = (int32x2_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            true
-        );
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[1],
-            true,
-            b_vec[1],
-            acc[0],
-            true
-        );
-
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[0], true, b_vec[0], acc[0], true);
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[1], true, b_vec[1], acc[0], true);
 #elif defined(RDNA3)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * a_vec = (int32x4_t *) A.x;
         int32x4_t * b_vec = (int32x4_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            true
-        );
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[1],
-            true,
-            b_vec[1],
-            acc[0],
-            true
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[0], true, b_vec[0], acc[0], true);
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[1], true, b_vec[1], acc[0], true);
 #endif // RDNA4
-
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
@@ -1295,21 +1234,12 @@ namespace ggml_cuda_mma {
 #if defined(AMD_MFMA_AVAILABLE)
         using int32x16_t = __attribute__((__vector_size__(16 * sizeof(int)))) int;
         int32x16_t * acc = (int32x16_t *) D.x;
-#if defined(CDNA3)
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x16_i8(((int64_t *) A.x)[0],
-                                                       ((int64_t *) B.x)[0],
-                                                       acc[0],
-                                                       0, 0, 0);
-#elif defined(CDNA2) || defined(CDNA)
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[0],
-                                                     B.x[0],
-                                                     acc[0],
-                                                     0, 0, 0);
-        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[1],
-                                                     B.x[1],
-                                                     acc[0],
-                                                     0, 0, 0);
-#endif // defined(CDNA3)
+#if defined(CDNA4) || defined(CDNA3)
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x16_i8(((int64_t *) A.x)[0], ((int64_t *) B.x)[0], acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+        acc[0] = __builtin_amdgcn_mfma_i32_32x32x8i8(A.x[1], B.x[1], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
 
 #else
         GGML_UNUSED_VARS(D, A, B);
@@ -1328,7 +1258,7 @@ namespace ggml_cuda_mma {
 
     static __device__ __forceinline__ void mma(
             tile<32, 8, float> & D, const tile<32, 4, half2> & A, const tile<8, 4, half2, DATA_LAYOUT_I_MAJOR_MIRRORED> & B) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         const int * Axi = (const int *) A.x;
         const int * Bxi = (const int *) B.x;
         int       * Dxi = (int       *) D.x;
@@ -1343,12 +1273,12 @@ namespace ggml_cuda_mma {
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     static __device__ __forceinline__ void mma(
             tile<32, 4, half2> & D, const tile<32, 4, half2> & A, const tile<8, 4, half2, DATA_LAYOUT_J_MAJOR_MIRRORED> & B) {
-#if __CUDA_ARCH__ == GGML_CUDA_CC_VOLTA
+#if defined(VOLTA_MMA_AVAILABLE)
         const int * Axi = (const int *) A.x;
         const int * Bxi = (const int *) B.x;
         int       * Dxi = (int       *) D.x;
@@ -1363,41 +1293,35 @@ namespace ggml_cuda_mma {
 #else
         GGML_UNUSED_VARS(D, A, B);
         NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= GGML_CUDA_CC_VOLTA
+#endif // defined(VOLTA_MMA_AVAILABLE)
     }
 
     template <data_layout dl_d, data_layout dl_ab>
     static __device__ __forceinline__ void mma(
             tile<16, 16, int, dl_d> & D, const tile<16, 4, int, dl_ab> & A, const tile<16, 4, int, dl_ab> & B) {
-#if defined(AMD_WMMA_AVAILABLE)
+#if defined(AMD_MFMA_AVAILABLE)
+        using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
+        int32x4_t * acc = (int32x4_t *) D.x;
+#if defined(CDNA4) || defined(CDNA3)
+        const int64_t xA = uint32_t(A.x[0]);
+        const int64_t xB = uint32_t(B.x[0]);
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x32_i8(xA, xB, acc[0], 0, 0, 0);
+#elif defined(CDNA2) || defined(CDNA1)
+        acc[0] = __builtin_amdgcn_mfma_i32_16x16x16i8(A.x[0], B.x[0], acc[0], 0, 0, 0);
+#endif // defined(CDNA4) || defined(CDNA3)
+#elif defined(AMD_WMMA_AVAILABLE)
         using int32x8_t = __attribute__((__vector_size__(8 * sizeof(int)))) int;
         int32x8_t * acc = (int32x8_t *) D.x;
 #if defined(RDNA4)
         using int32x2_t = __attribute__((__vector_size__(2 * sizeof(int)))) int;
         int32x2_t * a_vec = (int32x2_t *) A.x;
         int32x2_t * b_vec = (int32x2_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            false
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32_gfx12(true, a_vec[0], true, b_vec[0], acc[0], false);
 #elif defined(RDNA3)
         using int32x4_t = __attribute__((__vector_size__(4 * sizeof(int)))) int;
         int32x4_t * a_vec = (int32x4_t *) A.x;
         int32x4_t * b_vec = (int32x4_t *) B.x;
-
-        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(
-            true,
-            a_vec[0],
-            true,
-            b_vec[0],
-            acc[0],
-            false
-        );
+        acc[0] = __builtin_amdgcn_wmma_i32_16x16x16_iu8_w32(true, a_vec[0], true, b_vec[0], acc[0], false);
 #endif // RDNA4
 #else
         GGML_UNUSED(D);
diff --git a/ggml/src/ggml-cuda/mmq.cu b/ggml/src/ggml-cuda/mmq.cu
index 27b4145ac..e1add5e03 100644
--- a/ggml/src/ggml-cuda/mmq.cu
+++ b/ggml/src/ggml-cuda/mmq.cu
@@ -5,6 +5,9 @@
 
 static void ggml_cuda_mul_mat_q_switch_type(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) {
     switch (args.type_x) {
+        case GGML_TYPE_Q1_0:
+            mul_mat_q_case<GGML_TYPE_Q1_0>(ctx, args, stream);
+            break;
         case GGML_TYPE_Q4_0:
             mul_mat_q_case<GGML_TYPE_Q4_0>(ctx, args, stream);
             break;
@@ -119,7 +122,7 @@ void ggml_cuda_mul_mat_q(
                             || GGML_CUDA_CC_IS_CDNA(cc);
 
     // TODO: tighter pool buffer size vs q8 path
-    const bool use_native_mxfp4 = blackwell_mma_available(cc) && src0->type == GGML_TYPE_MXFP4;
+    const bool use_native_fp4 = blackwell_mma_available(cc) && (src0->type == GGML_TYPE_MXFP4 || src0->type == GGML_TYPE_NVFP4);
 
     if (!ids) {
         const size_t nbytes_src1_q8_1 = ne13*ne12 * ne11*ne10_padded * sizeof(block_q8_1)/QK8_1 +
@@ -130,9 +133,9 @@ void ggml_cuda_mul_mat_q(
             const int64_t s11 = src1->nb[1] / ts_src1;
             const int64_t s12 = src1->nb[2] / ts_src1;
             const int64_t s13 = src1->nb[3] / ts_src1;
-            if (use_native_mxfp4) {
+            if (use_native_fp4) {
                 static_assert(sizeof(block_fp4_mmq) == 4 * sizeof(block_q8_1));
-                quantize_mmq_mxfp4_cuda(src1_d, nullptr, src1_q8_1.get(), src0->type, ne10, s11, s12, s13, ne10_padded,
+                quantize_mmq_fp4_cuda(src1_d, nullptr, src1_q8_1.get(), src0->type, ne10, s11, s12, s13, ne10_padded,
                                         ne11, ne12, ne13, stream);
 
             } else {
@@ -143,10 +146,8 @@ void ggml_cuda_mul_mat_q(
         }
 
         // Stride depends on quantization format
-        const int64_t s12 = use_native_mxfp4 ?
-                                ne11 * ne10_padded * sizeof(block_fp4_mmq) /
-                                    (8 * QK_MXFP4 * sizeof(int))  // block_fp4_mmq holds 256 values (8 blocks of 32)
-                                :
+        const int64_t s12 = use_native_fp4 ?
+                                ne11 * ne10_padded * sizeof(block_fp4_mmq) / (QK_K * sizeof(int)) :  // block_fp4_mmq holds 256 values
                                 ne11 * ne10_padded * sizeof(block_q8_1) / (QK8_1 * sizeof(int));
         const int64_t s13 = ne12*s12;
 
@@ -195,8 +196,8 @@ void ggml_cuda_mul_mat_q(
         const int64_t s12 = src1->nb[2] / ts_src1;
         const int64_t s13 = src1->nb[3] / ts_src1;
 
-        if (use_native_mxfp4) {
-            quantize_mmq_mxfp4_cuda(src1_d, ids_src1.get(), src1_q8_1.get(), src0->type, ne10, s11, s12, s13,
+        if (use_native_fp4) {
+            quantize_mmq_fp4_cuda(src1_d, ids_src1.get(), src1_q8_1.get(), src0->type, ne10, s11, s12, s13,
                                     ne10_padded, ne11_flat, ne12_flat, ne13_flat, stream);
         } else {
             quantize_mmq_q8_1_cuda(src1_d, ids_src1.get(), src1_q8_1.get(), src0->type, ne10, s11, s12, s13,
@@ -205,8 +206,9 @@ void ggml_cuda_mul_mat_q(
         CUDA_CHECK(cudaGetLastError());
     }
 
-    const int64_t s12 = use_native_mxfp4 ? ne11 * ne10_padded * sizeof(block_fp4_mmq) / (8 * QK_MXFP4 * sizeof(int)) :
-                                           ne11 * ne10_padded * sizeof(block_q8_1) / (QK8_1 * sizeof(int));
+    static_assert(QK_K == 8 * QK_MXFP4, "QK_K needs to be 8 * QK_MXFP4");
+    const int64_t s12 = use_native_fp4 ? ne11 * ne10_padded * sizeof(block_fp4_mmq) / (QK_K * sizeof(int)) :
+                                         ne11 * ne10_padded * sizeof(block_q8_1) / (QK8_1 * sizeof(int));
     const int64_t s13 = ne12*s12;
 
     // Note that ne02 is used instead of ne12 because the number of y channels determines the z dimension of the CUDA grid.
@@ -270,6 +272,7 @@ bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t
     bool mmq_supported;
 
     switch (type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
diff --git a/ggml/src/ggml-cuda/mmq.cuh b/ggml/src/ggml-cuda/mmq.cuh
index 51e8dad4c..edf546d8f 100644
--- a/ggml/src/ggml-cuda/mmq.cuh
+++ b/ggml/src/ggml-cuda/mmq.cuh
@@ -10,9 +10,9 @@
 using namespace ggml_cuda_mma;
 
 #define MMQ_DP4A_MAX_BATCH_SIZE 64 // Max. batch size to use for dp4a MMQ kernels when FP16 tensor cores are available.
-#define MMQ_ITER_K 256
-#define MMQ_ITER_K_MXFP4_FP4    512
-#define MMQ_NWARPS 8
+#define MMQ_ITER_K             256
+#define MMQ_ITER_K_FP4         512
+#define MMQ_NWARPS               8
 
 typedef void (*load_tiles_mmq_t)(const char * __restrict__ x, int * x_tile, const int kbx0, const int i_max, const int stride);
 typedef void (*vec_dot_mmq_t)(const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00);
@@ -46,9 +46,12 @@ struct block_q8_1_mmq {
     int8_t qs[4*QK8_1]; // 128 values quantized to 8 bit each
 };
 
+// this struct is used for fp4 data types (currently only used for Blackwell)
+// mxfp4 has block size 32, each int32 of d4 contains 2 e8m0 scales in the lower 16 bits
+// nvfp4 has block size 16, each int32 of d4 contains 4 ue4m3 scales
 struct block_fp4_mmq {
-    uint32_t d4[4];       // 8 E8M0 scales (1 per 32 values), 2 packed per uint32: d4[0]={s0,s1}, d4[1]={s2,s3}, etc.
-    int8_t   qs[4 * 32];  // 256 FP4 values packed as 4-bit pairs (2 per byte), 8 blocks of 32 values
+    uint32_t d4[4];
+    int8_t   qs[4 * 32];  // 256 FP4 values packed as 4-bit pairs (2 per byte)
 };
 
 static_assert(sizeof(block_q8_1_mmq) == 4*QK8_1 + 4*sizeof(half2), "Unexpected block_q8_1_mmq size");
@@ -57,6 +60,8 @@ static_assert(sizeof(block_fp4_mmq)  == sizeof(block_q8_1_mmq),    "Unexpected b
 
 static mmq_q8_1_ds_layout mmq_get_q8_1_ds_layout(const ggml_type type_x) {
     switch (type_x) {
+        case GGML_TYPE_Q1_0:
+            return MMQ_Q8_1_DS_LAYOUT_D4;
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
             return MMQ_Q8_1_DS_LAYOUT_DS4;
@@ -102,7 +107,7 @@ struct tile_x_sizes {
 };
 
 static int get_mmq_x_max_host(const int cc) {
-    return (amd_mfma_available(cc) || turing_mma_available(cc) || amd_wmma_available(cc)) ? 128 :
+    return (turing_mma_available(cc) || amd_wmma_available(cc)) ? 128 :
         GGML_CUDA_CC_IS_NVIDIA(cc) && ggml_cuda_highest_compiled_arch(cc) >= GGML_CUDA_CC_VOLTA ?
 #ifdef GGML_CUDA_FORCE_MMQ
             128                     : 64;
@@ -112,9 +117,9 @@ static int get_mmq_x_max_host(const int cc) {
 }
 
 static constexpr __device__ int get_mmq_x_max_device() {
-#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+#if defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     return 128;
-#else // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE)
+#else // defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
 
 #if defined(GGML_USE_HIP)
     return 64;
@@ -141,10 +146,11 @@ static int get_mmq_y_host(const int cc) {
 
 static constexpr __device__ int get_iter_k([[maybe_unused]] const ggml_type type) {
 #if defined(BLACKWELL_MMA_AVAILABLE)
-    return type == GGML_TYPE_MXFP4 ? MMQ_ITER_K_MXFP4_FP4 : MMQ_ITER_K;
-#else
-    return MMQ_ITER_K;
+if (type == GGML_TYPE_NVFP4 || type == GGML_TYPE_MXFP4) {
+    return MMQ_ITER_K_FP4;
+}
 #endif // defined(BLACKWELL_MMA_AVAILABLE)
+    return MMQ_ITER_K;
 }
 
 static constexpr __device__ int get_mmq_y_device() {
@@ -185,6 +191,7 @@ static constexpr __device__ int get_mmq_y_device() {
 
 static constexpr __host__ __device__ tile_x_sizes mmq_get_dp4a_tile_x_sizes(ggml_type type, int mmq_y) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return MMQ_DP4A_TXS_Q8_0;
         case GGML_TYPE_Q4_0:    return MMQ_DP4A_TXS_Q4_0;
         case GGML_TYPE_Q4_1:    return MMQ_DP4A_TXS_Q4_1;
         case GGML_TYPE_Q5_0:    return MMQ_DP4A_TXS_Q8_0;
@@ -210,8 +217,8 @@ static constexpr __host__ __device__ tile_x_sizes mmq_get_dp4a_tile_x_sizes(ggml
 }
 
 #define MMQ_MMA_TILE_X_K_Q8_0  (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
-#define MMQ_MMA_TILE_X_K_FP4   (2*MMQ_TILE_NE_K + 8                                       + 4) // MXFP4
-#define MMQ_MMA_TILE_X_K_NVFP4 (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4) // NVFP4
+#define MMQ_MMA_TILE_X_K_FP4   (2*MMQ_TILE_NE_K + 8                                       + 4) // MXFP4 and NVFP4 Blackwell
+#define MMQ_MMA_TILE_X_K_NVFP4 (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4) // NVFP4 Generic
 #define MMQ_MMA_TILE_X_K_Q8_1  (2*MMQ_TILE_NE_K + 2*MMQ_TILE_NE_K/QI8_0                   + 4)
 #define MMQ_MMA_TILE_X_K_Q2_K  (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K                           + 4)
 #define MMQ_MMA_TILE_X_K_Q3_K  (2*MMQ_TILE_NE_K + MMQ_TILE_NE_K/2                         + 4)
@@ -229,6 +236,7 @@ static_assert(MMQ_MMA_TILE_X_K_NVFP4 % 8 == 4, "Wrong padding.");
 
 static constexpr __host__ __device__ int mmq_get_mma_tile_x_k(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         case GGML_TYPE_Q4_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         case GGML_TYPE_Q4_1:    return MMQ_MMA_TILE_X_K_Q8_1;
         case GGML_TYPE_Q5_0:    return MMQ_MMA_TILE_X_K_Q8_0;
@@ -236,7 +244,11 @@ static constexpr __host__ __device__ int mmq_get_mma_tile_x_k(ggml_type type) {
         case GGML_TYPE_Q8_0:    return MMQ_MMA_TILE_X_K_Q8_0;
         // tile sizes are the same for Q8_1 and FP4 for blackwell
         case GGML_TYPE_MXFP4:   return MMQ_MMA_TILE_X_K_Q8_1;
+#if defined(BLACKWELL_MMA_AVAILABLE)
+        case GGML_TYPE_NVFP4:   return MMQ_MMA_TILE_X_K_FP4;
+#else
         case GGML_TYPE_NVFP4:   return MMQ_MMA_TILE_X_K_NVFP4;
+#endif // defined(BLACKWELL_MMA_AVAILABLE)
         case GGML_TYPE_Q2_K:    return MMQ_MMA_TILE_X_K_Q2_K;
         case GGML_TYPE_Q3_K:    return MMQ_MMA_TILE_X_K_Q3_K;
         case GGML_TYPE_Q4_K:    return MMQ_MMA_TILE_X_K_Q8_1;
@@ -302,6 +314,87 @@ static constexpr __device__ int mmq_get_nwarps_device() {
 
 // ------------------------------------------------------------
 
+template <int mmq_y, bool need_check> static __device__ __forceinline__ void load_tiles_q1_0(
+    const char * __restrict__ x, int * __restrict__ x_tile, const int kbx0, const int i_max, const int stride) {
+    constexpr int nwarps = mmq_get_nwarps_device();
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+    int   * x_qs = (int   *)  x_tile;
+    float * x_df = (float *) (x_qs + 2*MMQ_TILE_NE_K);
+#else
+    constexpr tile_x_sizes txs = mmq_get_dp4a_tile_x_sizes(GGML_TYPE_Q8_0, mmq_y);
+    int   * x_qs = (int   *)  x_tile;
+    float * x_df = (float *) (x_qs + txs.qs);
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+
+    constexpr int blocks_per_iter = MMQ_ITER_K / QK1_0;
+    constexpr int threads_per_row = blocks_per_iter * QI1_0;
+    constexpr int nrows = warp_size / threads_per_row;
+    constexpr int scale_entries_per_block = QK1_0 / QK8_1;
+    constexpr int scale_entries_per_row = blocks_per_iter * scale_entries_per_block;
+
+    const int txi  = threadIdx.x % threads_per_row;
+    const int kbx  = txi / QI1_0;
+    const int kqsx = txi % QI1_0;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nrows*nwarps) {
+        int i = i0 + threadIdx.y*nrows + threadIdx.x/threads_per_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q1_0 * bxi = (const block_q1_0 *) x + kbx0 + i*stride + kbx;
+        const int qs_offset = 4*kqsx;
+        const int qs0 = bxi->qs[qs_offset + 0] | (bxi->qs[qs_offset + 1] << 8) |
+                        (bxi->qs[qs_offset + 2] << 16) | (bxi->qs[qs_offset + 3] << 24);
+
+        int unpacked_bytes[8];
+#pragma unroll
+        for (int j = 0; j < 8; ++j) {
+            const int shift = j * 4;
+            const int bits4 = (qs0 >> shift) & 0x0F;
+            const int b0 = (bits4 & 0x01) ? 1 : -1;
+            const int b1 = (bits4 & 0x02) ? 1 : -1;
+            const int b2 = (bits4 & 0x04) ? 1 : -1;
+            const int b3 = (bits4 & 0x08) ? 1 : -1;
+            unpacked_bytes[j] = (b0 & 0xFF) | ((b1 & 0xFF) << 8) | ((b2 & 0xFF) << 16) | ((b3 & 0xFF) << 24);
+        }
+
+        const int dst_offset = kbx*(scale_entries_per_block*QI8_0) + kqsx*QI8_0;
+#pragma unroll
+        for (int j = 0; j < 8; ++j) {
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+            x_qs[i*MMQ_MMA_TILE_X_K_Q8_0 + dst_offset + j] = unpacked_bytes[j];
+#else
+            x_qs[i*(2*MMQ_TILE_NE_K + 1) + dst_offset + j] = unpacked_bytes[j];
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        }
+    }
+
+    const int ksx = threadIdx.x % scale_entries_per_row;
+    const int scale_block = ksx / scale_entries_per_block;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q1_0 * bxi = (const block_q1_0 *) x + kbx0 + i*stride + scale_block;
+
+#if defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+        x_df[i*MMQ_MMA_TILE_X_K_Q8_0 + ksx] = bxi->d;
+#else
+        x_df[i*(2*MMQ_TILE_NE_K/QI8_0) + i/(QI8_0/2) + ksx] = bxi->d;
+#endif // defined(AMD_MFMA_AVAILABLE) || defined(TURING_MMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
+    }
+}
+
 template <int mmq_y, bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
     const char * __restrict__ x, int * __restrict__ x_tile, const int kbx0, const int i_max, const int stride) {
     constexpr int nwarps = mmq_get_nwarps_device();
@@ -386,17 +479,25 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
 #pragma unroll
             for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
                 const int i = i0 + threadIdx.x;
-
                 const int kyqs = QI8_1 * ((k01/2) / (QI8_1/2)) + (k01/2) % (QI8_1/2);
 
                 int u[2*VDR_Q4_0_Q8_1_MMQ];
 
-#pragma unroll
-                for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
-                    u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + kyqs +  l];
-                    u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + kyqs + (l + QI4_0)];
+                constexpr int max_cpy = ggml_cuda_get_max_cpy_bytes();
+                constexpr int mcpy_int = max_cpy / sizeof(int);
+                static_assert(VDR_Q4_0_Q8_1_MMQ == 4, "bad VDR_Q4_0_Q8_1_MMQ");
+
+                int tmp0[4], tmp1[4];
+
+                #pragma unroll
+                for (int l0 = 0; l0 < 4 / mcpy_int; ++l0) {
+                    ggml_cuda_memcpy_1<max_cpy>(tmp0 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + l0 * mcpy_int]  );
+                    ggml_cuda_memcpy_1<max_cpy>(tmp1 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + QI4_0 + l0 * mcpy_int]);
                 }
 
+                u[0]=tmp0[0]; u[2]=tmp0[1]; u[4]=tmp0[2]; u[6]=tmp0[3];
+                u[1]=tmp1[0]; u[3]=tmp1[1]; u[5]=tmp1[2]; u[7]=tmp1[3];
+
                 sum[j0/nwarps*mmq_y/warp_size + i0/warp_size] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
                     (&x_qs[i*(MMQ_TILE_NE_K + 1) + k0/QR4_0], u,
                      x_df[i*(MMQ_TILE_NE_K/QI4_0) + i/QI4_0 + k0/(QR4_0*QI4_0)], y_ds[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -489,17 +590,25 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
 #pragma unroll
             for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
                 const int i = i0 + threadIdx.x;
-
                 const int kyqs = QI8_1 * ((k01/2) / (QI8_1/2)) + (k01/2) % (QI8_1/2);
 
                 int u[2*VDR_Q4_1_Q8_1_MMQ];
 
-#pragma unroll
-                for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
-                    u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + kyqs +  l];
-                    u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + kyqs + (l + QI4_1)];
+                constexpr int max_cpy = ggml_cuda_get_max_cpy_bytes();
+                constexpr int mcpy_int = max_cpy / sizeof(int);
+                static_assert(VDR_Q4_0_Q8_1_MMQ == 4, "bad VDR_Q4_0_Q8_1_MMQ");
+
+                int tmp0[4], tmp1[4];
+
+                #pragma unroll
+                for (int l0 = 0; l0 < 4 / mcpy_int; ++l0) {
+                    ggml_cuda_memcpy_1<max_cpy>(tmp0 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + l0 * mcpy_int]  );
+                    ggml_cuda_memcpy_1<max_cpy>(tmp1 + l0 * mcpy_int, &y_qs[j*MMQ_TILE_Y_K + kyqs + QI4_1 + l0 * mcpy_int]);
                 }
 
+                u[0]=tmp0[0]; u[2]=tmp0[1]; u[4]=tmp0[2]; u[6]=tmp0[3];
+                u[1]=tmp1[0]; u[3]=tmp1[1]; u[5]=tmp1[2]; u[7]=tmp1[3];
+
                 sum[j0/nwarps*mmq_y/warp_size + i0/warp_size] += vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
                     (&x_qs[i*(MMQ_TILE_NE_K + 1) + k0/QR4_1], u,
                      x_dm[i*(MMQ_TILE_NE_K/QI4_1) + i/QI4_1 + k0/(QR4_1*QI4_1)], y_ds[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -833,6 +942,128 @@ static __device__ __forceinline__ void load_tiles_mxfp4_fp4(const char * __restr
     }
 }
 
+#ifdef BLACKWELL_MMA_AVAILABLE
+template <int mmq_y, bool need_check>
+static __device__ __forceinline__ void load_tiles_nvfp4_nvfp4(const char * __restrict__ x,
+                                                            int * __restrict__ x_tile,
+                                                            const int kbx0,
+                                                            const int i_max,
+                                                            const int stride) {
+    constexpr int nwarps = mmq_get_nwarps_device();
+    constexpr int warp_size = ggml_cuda_get_physical_warp_size();
+    constexpr int iter_k = get_iter_k(GGML_TYPE_NVFP4);
+    constexpr int threads_per_row = iter_k / QK_NVFP4; // each thread processes 1 block
+    constexpr int rows_per_warp = warp_size / threads_per_row;
+
+    uint32_t * x_u32 = (uint32_t *) x_tile;
+
+    const int txi = threadIdx.x;
+    const int kbx = txi % threads_per_row;
+    const int row_in_warp = txi / threads_per_row;
+
+    const block_nvfp4 * bxi_base = (const block_nvfp4 *) x + kbx0 + kbx;
+    uint32_t * x_u32_scale = x_u32 + 64 + kbx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += rows_per_warp * nwarps) {
+        int i = i0 + threadIdx.y * rows_per_warp + row_in_warp;
+
+        if constexpr (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_nvfp4 * bxi = bxi_base + i * stride;
+        const int row_base = i * MMQ_MMA_TILE_X_K_FP4;
+        const int q_base = row_base + 8 * kbx;
+
+        const uint32_t * src_qs = reinterpret_cast<const uint32_t *>(bxi->qs);
+
+#pragma unroll
+        for (int sub = 0; sub < QK_NVFP4 / QK_NVFP4_SUB; ++sub) {
+            x_u32[q_base + 2 * sub + 0] = src_qs[2 * sub + 0];
+            x_u32[q_base + 2 * sub + 1] = src_qs[2 * sub + 1];
+        }
+
+        x_u32_scale[row_base] = get_int_b4(bxi->d, 0);
+    }
+}
+
+// Shared MMA kernel for MXFP4 and NVFP4 on Blackwell.
+// Both quantizations encode values as e2m1 (FP4) and produce one uint32 scale per
+// m16n8k64 MMA call; only the PTX kind (scale_vec::2X ue8m0 vs scale_vec::4X ue4m3)
+// and the per-type stride constant differ.
+template <int mmq_x, int mmq_y, ggml_type type>
+static __device__ __forceinline__ void vec_dot_fp4_fp4_mma(const int * __restrict__ x,
+                                                           const int * __restrict__ y,
+                                                           float * __restrict__ sum,
+                                                           const int k00) {
+    static_assert(type == GGML_TYPE_MXFP4 || type == GGML_TYPE_NVFP4,
+                  "vec_dot_fp4_fp4_mma: type must be MXFP4 or NVFP4");
+
+    typedef tile<16, 8, int>   tile_A;
+    typedef tile<8, 8, int>    tile_B;
+    typedef tile<16, 8, float> tile_C;
+
+    constexpr int stride        = MMQ_MMA_TILE_X_K_FP4;
+    constexpr int granularity   = mmq_get_granularity_device(mmq_x);
+    constexpr int rows_per_warp = 2 * granularity;
+    constexpr int ntx           = rows_per_warp / tile_C::I;
+    constexpr int nfrags        = MMQ_TILE_NE_K / tile_A::J;
+
+    y += (threadIdx.y % ntx) * (tile_C::J * MMQ_TILE_Y_K);
+
+    const int *      x_qs = (const int *) x;
+    const uint32_t * x_sc = (const uint32_t *) (x_qs + 2 * MMQ_TILE_NE_K);
+    const int *      y_qs = (const int *) y + 4;
+    const uint32_t * y_sc = (const uint32_t *) y;
+
+    // 2 threads per quad supply the packed scale register to the block_scale MMA,
+    // see https://docs.nvidia.com/cuda/parallel-thread-execution/#warp-level-block-scaling
+    const int tidx_A = threadIdx.x / 4 + (threadIdx.x % 2) * 8;
+    const int tidx_B = threadIdx.x / 4;
+    const int i0     = (threadIdx.y / ntx) * rows_per_warp;
+
+    tile_A   A[ntx][nfrags];
+    uint32_t scaleA[ntx][nfrags];
+
+#pragma unroll
+    for (int n = 0; n < ntx; ++n) {
+#pragma unroll
+        for (int frag = 0; frag < nfrags; ++frag) {
+            const int k0 = k00 + frag * tile_A::J;
+            load_ldmatrix(A[n][frag], x_qs + (i0 + n * tile_A::I) * stride + k0, stride);
+            scaleA[n][frag] = x_sc[(i0 + n * tile_A::I + tidx_A) * stride + k0 / tile_A::J];
+        }
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += ntx * tile_C::J) {
+        tile_B   B[nfrags];
+        uint32_t scaleB[nfrags];
+
+#pragma unroll
+        for (int frag = 0; frag < nfrags; ++frag) {
+            const int k0 = frag * tile_B::J;
+            load_generic(B[frag], y_qs + j0 * MMQ_TILE_Y_K + k0, MMQ_TILE_Y_K);
+            scaleB[frag] = y_sc[(j0 + tidx_B) * MMQ_TILE_Y_K + frag];
+        }
+
+#pragma unroll
+        for (int n = 0; n < ntx; ++n) {
+#pragma unroll
+            for (int frag = 0; frag < nfrags; ++frag) {
+                tile_C C = {};
+                mma_block_scaled_fp4<type>(C, A[n][frag], B[frag], scaleA[n][frag], scaleB[frag]);
+#pragma unroll
+                for (int l = 0; l < tile_C::ne; ++l) {
+                    sum[(j0 / tile_C::J + n) * tile_C::ne + l] += C.x[l];
+                }
+            }
+        }
+    }
+}
+#endif // BLACKWELL_MMA_AVAILABLE
+
 
 template <int mmq_y, bool need_check>
 static __device__ __forceinline__ void load_tiles_nvfp4(const char * __restrict__ x,
@@ -953,13 +1184,13 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_0 + k0, MMQ_MMA_TILE_X_K_Q8_0);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             float dB;
             const int j = j0 + tile_C::get_j(0);
@@ -1062,77 +1293,6 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
 #endif // defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
 }
 
-template <int mmq_x, int mmq_y>
-static __device__ __forceinline__ void vec_dot_mxfp4_mxfp4_mma(const int * __restrict__ x,
-                                                               const int * __restrict__ y,
-                                                               float * __restrict__ sum,
-                                                               const int k00) {
-    typedef tile<16, 8, int>   tile_A;
-    typedef tile<8, 8, int>    tile_B;
-    typedef tile<16, 8, float> tile_C;  // Output is float for native scaled MMA
-
-    constexpr int granularity   = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = 2 * granularity;
-    constexpr int ntx           = rows_per_warp / tile_C::I;  // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J * MMQ_TILE_Y_FP4_K);
-
-    // Match layout from load_tiles_mxfp4_fp4
-    const int *      x_qs = (const int *) x;
-    const uint32_t * x_sc = (const uint32_t *) (x_qs + 2 * MMQ_TILE_NE_K);
-    const int *      y_qs = (const int *) y + 4;
-    const uint32_t * y_sc = (const uint32_t *) y;
-
-    // tile_A has a length of 64 logical values vs. 32 values in block_mxfp4
-    tile_A   A[ntx][MMQ_TILE_NE_K / (2 * QI_MXFP4)];
-    uint32_t scaleA[ntx][MMQ_TILE_NE_K / (2 * QI_MXFP4)];
-
-    // Block scale
-    // Each thread has to point to a 4 byte scale value
-    // https://docs.nvidia.com/cuda/parallel-thread-execution/#warp-level-block-scaling
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-#pragma unroll
-    for (int n = 0; n < ntx; ++n) {
-#pragma unroll
-        for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 2 * QI_MXFP4) {
-            const int k0 = k00 + k01;
-
-            load_ldmatrix(A[n][k01 / (2 * QI_MXFP4)], x_qs + (i0 + n * tile_A::I) * MMQ_MMA_TILE_X_K_FP4 + k0,
-                          MMQ_MMA_TILE_X_K_FP4);
-
-            // based on block-scaling document, 2 threads in each quad need to supply to the scale value
-            const int tidx         = threadIdx.x / 4 + (threadIdx.x % 2) * 8;
-            scaleA[n][k01 / (2 * QI_MXFP4)] =
-                *(x_sc + (i0 + n * tile_A::I + tidx) * MMQ_MMA_TILE_X_K_FP4 + k0 / (2 * QI_MXFP4));
-        }
-    }
-
-#pragma unroll
-    for (int j0 = 0; j0 < mmq_x; j0 += ntx * tile_C::J) {
-#pragma unroll
-        for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 2 * QI_MXFP4) {
-            tile_B   B;
-            uint32_t scaleB;  // 2xN scales
-
-            load_generic(B, y_qs + j0 * MMQ_TILE_Y_FP4_K + k01, MMQ_TILE_Y_FP4_K);
-
-            scaleB = y_sc[(j0 + threadIdx.x / 4) * MMQ_TILE_Y_FP4_K + k01 / (2 * QI_MXFP4)];
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C C;
-
-                mma_block_scaled(C, A[n][k01 / (2 * QI_MXFP4)], B, scaleA[n][k01 / (2 * QI_MXFP4)], scaleB);
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    sum[(j0 / tile_C::J + n) * tile_C::ne + l] += C.x[l];
-                }
-            }
-        }
-    }
-}
 
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q8_1_q8_1_dp4a(
@@ -1194,13 +1354,13 @@ static __device__ __forceinline__ void vec_dot_q8_1_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q8_1 + k0, MMQ_MMA_TILE_X_K_Q8_1);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float2 dsB = __half22float2(y_dm[j*MMQ_TILE_Y_K + k01/QI8_1]);
@@ -1334,57 +1494,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const float * x_df = (const float *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * y_qs = (const int   *) y + 4;
-    const float * y_df = (const float *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1] / 2;
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C C;
-                mma(C, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += C.x[l] * x_df[i*MMQ_MMA_TILE_X_K_Q3_K + k0/4] * dB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -1409,13 +1519,13 @@ static __device__ __forceinline__ void vec_dot_q8_0_16_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q3_K + k0, MMQ_MMA_TILE_X_K_Q3_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1];
@@ -1641,74 +1751,7 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const half2 * x_dm = (const half2 *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * y_qs = (const int   *) y + 4;
-    const half2 * y_ds = (const half2 *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = (k01 < MMQ_TILE_NE_K/2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K]).x/2 : __half22float2(y_ds[j*MMQ_TILE_Y_K]).y/2;
-            const float sB = (k01 >= MMQ_TILE_NE_K * 3/4) ? 0
-                                              : (((k01/4)%2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K + (1 + k01/QI8_1)]).y
-                                                             : __half22float2(y_ds[j*MMQ_TILE_Y_K + (1 + k01/QI8_1)]).x);
-
-            tile_C Cm;
-            if (k01 >= MMQ_TILE_NE_K * 3/4) {
-                tile_A A1;
-                A1.x[0] = 0x01010101;
-                A1.x[1] = 0x01010101;
-                mma(Cm, A1, B[0]);
-            }
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C Cd;
-                mma(Cd, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    const float2 dm = __half22float2(x_dm[i*MMQ_MMA_TILE_X_K_Q2_K + k0/4]);
-                    float tmp = Cd.x[l]*dm.x;
-                    if (k01 >= MMQ_TILE_NE_K * 3/4) {
-                        tmp -= Cm.x[l]*dm.y;
-                    }
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += tmp*dB;
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] -= dm.y*sB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -1733,13 +1776,13 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q2_K + k0, MMQ_MMA_TILE_X_K_Q2_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = (k01 < MMQ_TILE_NE_K/2) ? __half22float2(y_ds[j*MMQ_TILE_Y_K]).x : __half22float2(y_ds[j*MMQ_TILE_Y_K]).y;
@@ -2472,59 +2515,7 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
 template <int mmq_x, int mmq_y>
 static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
     const int * __restrict__ x, const int * __restrict__ y, float * __restrict__ sum, const int k00) {
-#if defined(AMD_MFMA_AVAILABLE)
-    constexpr data_layout input_layout = get_input_data_layout();
-    typedef tile<16,  8, int, input_layout>        tile_A;
-    typedef tile<16,  8, int, input_layout>        tile_B;
-    typedef tile<16, 16, int, DATA_LAYOUT_J_MAJOR> tile_C;
-    typedef tile<64,  2, int, input_layout>        tile_load;
-
-    constexpr int granularity = mmq_get_granularity_device(mmq_x);
-    constexpr int rows_per_warp = granularity;
-    constexpr int ntx = rows_per_warp/tile_C::I; // Number of x minitiles per warp.
-
-    y += (threadIdx.y % ntx) * (tile_C::J*MMQ_TILE_Y_K);
-
-    const int   * x_qs = (const int   *) x;
-    const float * x_df = (const float *) x_qs + MMQ_TILE_NE_K*2;
-    const int   * x_sc = (const int   *) x_df + MMQ_TILE_NE_K/QI6_K;
-    const int   * y_qs = (const int   *) y + 4;
-    const float * y_df = (const float *) y;
-
-    const int i0 = (threadIdx.y / ntx) * rows_per_warp;
-
-    for (int k01 = 0; k01 < MMQ_TILE_NE_K; k01 += 4) {
-        const int k0 = k00 + k01;
-
-        tile_A A[ntx];
-#pragma unroll
-        for (int n = 0; n < ntx; ++n) {
-            load_generic(((tile_load *) A)[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
-        }
-
-#pragma unroll
-        for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
-            tile_B B[1];
-            load_generic(((tile_load *) B)[0], y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
-
-            const int j = j0 + tile_C::get_j(0);
-            const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1] / 2;
-
-#pragma unroll
-            for (int n = 0; n < ntx; ++n) {
-                tile_C C;
-                mma(C, A[n], B[0]);
-
-#pragma unroll
-                for (int l = 0; l < tile_C::ne; ++l) {
-                    const int i = i0 + n*tile_C::I + tile_C::get_i(l);
-                    const int8_t * sc = (const int8_t *) (x_sc + i*MMQ_MMA_TILE_X_K_Q6_K + k00/16);
-                    sum[(j0/tile_C::J + n)*tile_C::ne + l] += C.x[l] * sc[k01/4] * x_df[i*MMQ_MMA_TILE_X_K_Q6_K] * dB;
-                }
-            }
-        }
-    }
-#elif defined(AMD_WMMA_AVAILABLE) //wmma instructions can handle 16x4 tiles, does not require loading 64x2 tiles
+#if defined(AMD_MFMA_AVAILABLE) || defined(AMD_WMMA_AVAILABLE)
     constexpr data_layout input_layout = get_input_data_layout();
     typedef tile<16,  4, int, input_layout>        tile_A;
     typedef tile<16,  4, int, input_layout>        tile_B;
@@ -2550,13 +2541,13 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
         tile_A A[ntx];
 #pragma unroll
         for (int n = 0; n < ntx; ++n) {
-            load_generic(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
+            load_ldmatrix(A[n], x_qs + (i0 + n*tile_A::I)*MMQ_MMA_TILE_X_K_Q6_K + k0, MMQ_MMA_TILE_X_K_Q6_K);
         }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += ntx*tile_C::J) {
             tile_B B;
-            load_generic(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
+            load_ldmatrix(B, y_qs + j0*MMQ_TILE_Y_K + k01, MMQ_TILE_Y_K);
 
             const int j = j0 + tile_C::get_j(0);
             const float dB = y_df[j*MMQ_TILE_Y_K + k01/QI8_1];
@@ -3274,6 +3265,14 @@ static __device__ __forceinline__ void mmq_write_back_mma(
 template <int mmq_x, int mmq_y, bool need_check, ggml_type type>
 struct mmq_type_traits;
 
+template <int mmq_x, int mmq_y, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_Q1_0> {
+    static constexpr int              vdr          = VDR_Q1_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q1_0<mmq_y, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, MMQ_Q8_1_DS_LAYOUT_D4>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y>;
+};
+
 template <int mmq_x, int mmq_y, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_Q4_0> {
     static constexpr int              vdr          = VDR_Q4_0_Q8_1_MMQ;
@@ -3319,7 +3318,7 @@ struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_MXFP4> {
     static constexpr int              vdr          = VDR_MXFP4_Q8_1_MMQ;
 #ifdef BLACKWELL_MMA_AVAILABLE
     static constexpr load_tiles_mmq_t load_tiles  = load_tiles_mxfp4_fp4<mmq_y, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot_mma = vec_dot_mxfp4_mxfp4_mma<mmq_x, mmq_y>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma = vec_dot_fp4_fp4_mma<mmq_x, mmq_y, GGML_TYPE_MXFP4>;
 #else
     static constexpr load_tiles_mmq_t load_tiles   = load_tiles_mxfp4<mmq_y, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, MMQ_Q8_1_DS_LAYOUT_D4>;
@@ -3330,8 +3329,13 @@ struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_MXFP4> {
 template <int mmq_x, int mmq_y, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, need_check, GGML_TYPE_NVFP4> {
     static constexpr int              vdr          = VDR_NVFP4_Q8_1_MMQ;
+#ifdef BLACKWELL_MMA_AVAILABLE
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_nvfp4_nvfp4<mmq_y, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_fp4_fp4_mma<mmq_x, mmq_y, GGML_TYPE_NVFP4>;
+#else
     static constexpr load_tiles_mmq_t load_tiles   = load_tiles_nvfp4<mmq_y, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_16_q8_1_mma<mmq_x, mmq_y>;
+#endif // BLACKWELL_MMA_AVAILABLE
     static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_16_q8_1_dp4a<mmq_x, mmq_y>;
 };
 
@@ -3466,7 +3470,7 @@ static __device__ __forceinline__ void mul_mat_q_process_tile(
 
 #if defined(BLACKWELL_MMA_AVAILABLE)
     // FP4 tile stores 8 blocks
-    constexpr int ne_block = (type == GGML_TYPE_MXFP4) ? 8 * QK_MXFP4 : 4 * QK8_1;
+    constexpr int ne_block = (type == GGML_TYPE_MXFP4 || type == GGML_TYPE_NVFP4) ? QK_K : 4 * QK8_1;
 #else
     constexpr int ne_block = 4 * QK8_1;
 #endif  // defined(BLACKWELL_MMA_AVAILABLE)
@@ -3538,10 +3542,10 @@ template <ggml_type type, int mmq_x, bool need_check>
 static __global__ void mul_mat_q(
         const char * __restrict__ x, const int * __restrict__ y, const int32_t * __restrict__ ids_dst,
         const int32_t * __restrict__ expert_bounds, float * __restrict__ dst, float * __restrict__ tmp_fixup,
-        const int ncols_x, const int nrows_x, const int ncols_dst, const int stride_row_x, const int ncols_y, const int stride_col_dst,
-        const int channel_ratio, const int nchannels_y, const int stride_channel_x, const int stride_channel_y, const int stride_channel_dst,
-        const int sample_ratio, const int nsamples_y, const int stride_sample_x, const int stride_sample_y, const int stride_sample_dst,
-        const int ncols_max) {
+        const uint3 blocks_per_ne00, const int nrows_x, const int ncols_dst, const int stride_row_x, const int ncols_y, const int stride_col_dst,
+        const uint3 channel_ratio, const uint3 nchannels_y, const int stride_channel_x, const int stride_channel_y, const int stride_channel_dst,
+        const uint3 sample_ratio, const uint3 nsamples_y, const int stride_sample_x, const int stride_sample_y, const int stride_sample_dst,
+        const uint3 ntx) {
 
     // Skip unused template specializations for faster compilation:
     if (mmq_x > get_mmq_x_max_device() || mmq_x % mmq_get_granularity_device(mmq_x) != 0) {
@@ -3555,8 +3559,7 @@ static __global__ void mul_mat_q(
     constexpr int qk    = ggml_cuda_type_traits<type>::qk;
     constexpr int mmq_y = get_mmq_y_device();
 
-    const int ntx = (ncols_max + mmq_x - 1) / mmq_x; // Number of tiles x
-    const int nty = (nrows_x   + mmq_y - 1) / mmq_y; // Number of tiles y
+    const uint32_t nty = (nrows_x + mmq_y - 1) / mmq_y; // Number of tiles y
 
     // Initialize the ids for writing back data with just the index.
     // For regular matrix multiplications this is never changed.
@@ -3577,8 +3580,9 @@ static __global__ void mul_mat_q(
     // On non-CDNA AMD or old CUDA the performance with stream-k was worse, use conventional tiling instead:
 #if (defined(GGML_USE_HIP) && !defined(CDNA)) || __CUDA_ARCH__ < GGML_CUDA_CC_VOLTA
     {
-        const int wt = blockIdx.z / nchannels_y;
-        const int zt = blockIdx.z - wt*nchannels_y;
+        const uint2 tmp2 = fast_div_modulo(blockIdx.z, nchannels_y);
+        const int wt = tmp2.x;
+        const int zt = tmp2.y;
         const int jt = blockIdx.y;
         const int it = blockIdx.x;
 
@@ -3621,40 +3625,40 @@ static __global__ void mul_mat_q(
         const int tile_x_max_i = nrows_x  - it*mmq_y - 1;
         const int tile_y_max_j = col_diff - jt*mmq_x - 1;
 
-        const int offset_x = (wt/sample_ratio)*stride_sample_x + (zt/channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
+        const int offset_x = fastdiv(wt, sample_ratio)*stride_sample_x + fastdiv(zt, channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
 
         constexpr bool fixup = false;
         mul_mat_q_process_tile<type, mmq_x, need_check, fixup>
             (x, offset_x, y + offset_y, ids_dst_shared, dst + offset_dst, tmp_fixup, stride_row_x, ncols_y, stride_col_dst,
-             tile_x_max_i, tile_y_max_j, 0, ncols_x/qk);
+             tile_x_max_i, tile_y_max_j, 0, blocks_per_ne00.z);
         return;
     }
-#endif // (defined(GGML_USE_HIP) && !defined(CDNA3)) || __CUDA_ARCH__ < GGML_CUDA_CC_VOLTA
-
-    constexpr int ITER_K = get_iter_k(type);
+#endif // (defined(GGML_USE_HIP) && !defined(CDNA4) && !defined(CDNA3)) || __CUDA_ARCH__ < GGML_CUDA_CC_VOLTA
 
-    const     int64_t blocks_per_ne00 = ncols_x / qk;
-    constexpr int     blocks_per_iter = ITER_K / qk;
+    constexpr int ITER_K          = get_iter_k(type);
+    constexpr int blocks_per_iter = ITER_K / qk;
 
     // kbc == k block continuous, current index in continuous ijk space.
-    int64_t kbc      = (int64_t) blockIdx.x     *nsamples_y*nchannels_y*ntx*nty*blocks_per_ne00 / gridDim.x;
-    int64_t kbc_stop = (int64_t)(blockIdx.x + 1)*nsamples_y*nchannels_y*ntx*nty*blocks_per_ne00 / gridDim.x;
+    int kbc      = int64_t(blockIdx.x)    *(nsamples_y.z*nchannels_y.z*ntx.z*nty*blocks_per_ne00.z) / gridDim.x;
+    int kbc_stop = int64_t(blockIdx.x + 1)*(nsamples_y.z*nchannels_y.z*ntx.z*nty*blocks_per_ne00.z) / gridDim.x;
 
-    kbc      -= (kbc      % blocks_per_ne00) % blocks_per_iter;
-    kbc_stop -= (kbc_stop % blocks_per_ne00) % blocks_per_iter;
+    kbc      -= fastmodulo(kbc,      blocks_per_ne00) % blocks_per_iter;
+    kbc_stop -= fastmodulo(kbc_stop, blocks_per_ne00) % blocks_per_iter;
 
     // kb0 == k index when doing the matrix multiplication for an output tile.
-    int kb0_start = kbc % blocks_per_ne00;
-    int kb0_stop  = min(blocks_per_ne00, kb0_start + kbc_stop - kbc);
-    while (kbc < kbc_stop && kb0_stop == blocks_per_ne00) {
-        int tmp = kbc;
-        const int it = tmp / (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-        tmp -= it * (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-        const int wt = tmp / (nchannels_y*ntx*blocks_per_ne00);
-        tmp -= wt * (nchannels_y*ntx*blocks_per_ne00);
-        const int zt = tmp / (ntx*blocks_per_ne00);
-        tmp -= zt * (ntx*blocks_per_ne00);
-        const int jt = tmp / blocks_per_ne00;
+    int kb0_start = fastmodulo(kbc, blocks_per_ne00);
+    int kb0_stop  = min(blocks_per_ne00.z, uint32_t(kb0_start + kbc_stop - kbc));
+    while (kbc < kbc_stop && kb0_stop == int(blocks_per_ne00.z)) {
+        int tmp = fastdiv(kbc, blocks_per_ne00);
+        uint2 tmp2 = fast_div_modulo(tmp, ntx);
+        const int jt = tmp2.y;
+        tmp = tmp2.x;
+        tmp2 = fast_div_modulo(tmp, nchannels_y);
+        const int zt = tmp2.y;
+        tmp = tmp2.x;
+        tmp2 = fast_div_modulo(tmp, nsamples_y);
+        const int wt = tmp2.y;
+        const int it = tmp2.x;
 
         // Defaults for regular matrix multiplication:
         int col_low    = 0;
@@ -3672,11 +3676,11 @@ static __global__ void mul_mat_q(
             offset_dst = 0;
 
             if (jt*mmq_x >= col_diff) {
-                kbc += blocks_per_ne00;
-                kbc -= kbc % blocks_per_ne00;
+                kbc += blocks_per_ne00.z;
+                kbc -= fastmodulo(kbc, blocks_per_ne00);
 
                 kb0_start = 0;
-                kb0_stop  = min(blocks_per_ne00, kbc_stop - kbc);
+                kb0_stop  = min(blocks_per_ne00.z, uint32_t(kbc_stop - kbc));
 
                 continue;
             }
@@ -3701,32 +3705,34 @@ static __global__ void mul_mat_q(
         const int tile_x_max_i = nrows_x  - it*mmq_y - 1;
         const int tile_y_max_j = col_diff - jt*mmq_x - 1;
 
-        const int offset_x = (wt/sample_ratio)*stride_sample_x + (zt/channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
+        const int offset_x = fastdiv(wt, sample_ratio)*stride_sample_x + fastdiv(zt, channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
 
         constexpr bool fixup = false; // All but (potentially) the last iterations write their data to dst rather than the fixup buffer.
         mul_mat_q_process_tile<type, mmq_x, need_check, fixup>
             (x, offset_x, y + offset_y, ids_dst_shared, dst + offset_dst, tmp_fixup, stride_row_x, ncols_y, stride_col_dst,
              tile_x_max_i, tile_y_max_j, kb0_start, kb0_stop);
 
-        kbc += blocks_per_ne00;
-        kbc -= kbc % blocks_per_ne00;
+        kbc += blocks_per_ne00.z;
+        kbc -= fastmodulo(kbc, blocks_per_ne00);
 
         kb0_start = 0;
-        kb0_stop  = min(blocks_per_ne00, kbc_stop - kbc);
+        kb0_stop  = min(blocks_per_ne00.z, uint32_t(kbc_stop - kbc));
     }
 
     if (kbc >= kbc_stop) {
         return;
     }
 
-    int tmp = kbc;
-    const int it = tmp / (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-    tmp -= it * (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-    const int wt = tmp / (nchannels_y*ntx*blocks_per_ne00);
-    tmp -= wt * (nchannels_y*ntx*blocks_per_ne00);
-    const int zt = tmp / (ntx*blocks_per_ne00);
-    tmp -= zt * (ntx*blocks_per_ne00);
-    const int jt = tmp / blocks_per_ne00;
+    int tmp = fastdiv(kbc, blocks_per_ne00);
+    uint2 tmp2 = fast_div_modulo(tmp, ntx);
+    const int jt = tmp2.y;
+    tmp = tmp2.x;
+    tmp2 = fast_div_modulo(tmp, nchannels_y);
+    const int zt = tmp2.y;
+    tmp = tmp2.x;
+    tmp2 = fast_div_modulo(tmp, nsamples_y);
+    const int wt = tmp2.y;
+    const int it = tmp2.x;
 
     // Defaults for regular matrix multiplication:
     int col_low    = 0;
@@ -3768,7 +3774,7 @@ static __global__ void mul_mat_q(
     const int tile_x_max_i = nrows_x  - it*mmq_y - 1;
     const int tile_y_max_j = col_diff - jt*mmq_x - 1;
 
-    const int offset_x = (wt/sample_ratio)*stride_sample_x + (zt/channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
+    const int offset_x = fastdiv(wt, sample_ratio)*stride_sample_x + fastdiv(zt, channel_ratio)*stride_channel_x + it*mmq_y*stride_row_x;
 
     constexpr bool fixup = true; // Last index writes its data to fixup buffer to avoid data races with other blocks.
     mul_mat_q_process_tile<type, mmq_x, need_check, fixup>
@@ -3777,46 +3783,37 @@ static __global__ void mul_mat_q(
 }
 
 template <ggml_type type, int mmq_x, bool need_check>
-static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
-                                                const int32_t * expert_bounds,
-                                                float * __restrict__ dst,
-                                                const float * __restrict__ tmp_last_tile,
-                                                const int    ncols_x,
-                                                const int    nrows_x,
-                                                const int    ncols_dst,
-                                                const size_t stride_col_dst,
-                                                const int    nchannels_y,
-                                                const size_t stride_channel_dst,
-                                                const int    nsamples_y,
-                                                const size_t stride_sample_dst,
-                                                const int    ncols_max) {
-    constexpr int     mmq_y           = get_mmq_y_device();
-    constexpr int     qk              = ggml_cuda_type_traits<type>::qk;
-    constexpr int     ITER_K          = get_iter_k(type);
-
-    constexpr int     blocks_per_iter = ITER_K / qk;
-    const     int64_t blocks_per_ne00 = ncols_x / qk;
+__launch_bounds__(ggml_cuda_get_physical_warp_size()*mmq_get_nwarps_device()/2, 1)
+static __global__ void mul_mat_q_stream_k_fixup(
+        const int32_t * __restrict__ ids_dst, const int32_t * __restrict__ expert_bounds, float * __restrict__ dst,
+        float * __restrict__ tmp_last_tile, const uint3 blocks_per_ne00, const int nrows_x, const int ncols_dst,
+        const int stride_col_dst, const uint3 nchannels_y, const int stride_channel_dst, const uint3 nsamples_y,
+        const int stride_sample_dst, const uint3 ntx) {
+    constexpr int mmq_y           = get_mmq_y_device();
+    constexpr int qk              = ggml_cuda_type_traits<type>::qk;
+    constexpr int ITER_K          = get_iter_k(type);
+    constexpr int blocks_per_iter = ITER_K / qk;
 
-    constexpr int nwarps = mmq_get_nwarps_device();
+    constexpr int nwarps = mmq_get_nwarps_device()/2;
     constexpr int warp_size = ggml_cuda_get_physical_warp_size();
 
-    float sum[mmq_x*mmq_y / (nwarps*warp_size)] = {0.0f};
+    float sum[mmq_x / nwarps] = {0.0f};
+    const int i = blockIdx.y*warp_size + threadIdx.x;
 
-    const int ntx  = (ncols_max + mmq_x - 1) / mmq_x;
-    const int nty  = (nrows_x   + mmq_y - 1) / mmq_y;
+    const int nty = (nrows_x + mmq_y - 1) / mmq_y;
 
     const int bidx0 = blockIdx.x;
 
     // kbc == k block continuous, current index in continuous ijk space.
-    int64_t kbc0      = (int64_t) bidx0     *nsamples_y*nchannels_y*ntx*nty*blocks_per_ne00 / gridDim.x;
-    int64_t kbc0_stop = (int64_t)(bidx0 + 1)*nsamples_y*nchannels_y*ntx*nty*blocks_per_ne00 / gridDim.x;
+    int kbc0      = int64_t(blockIdx.x)    *(nsamples_y.z*nchannels_y.z*ntx.z*nty*blocks_per_ne00.z) / gridDim.x;
+    int kbc0_stop = int64_t(blockIdx.x + 1)*(nsamples_y.z*nchannels_y.z*ntx.z*nty*blocks_per_ne00.z) / gridDim.x;
 
-    kbc0      -= (kbc0      % blocks_per_ne00) % blocks_per_iter;
-    kbc0_stop -= (kbc0_stop % blocks_per_ne00) % blocks_per_iter;
+    kbc0      -= fastmodulo(kbc0,      blocks_per_ne00) % blocks_per_iter;
+    kbc0_stop -= fastmodulo(kbc0_stop, blocks_per_ne00) % blocks_per_iter;
 
     const bool did_not_have_any_data   = kbc0 == kbc0_stop;
-    const bool wrote_beginning_of_tile = kbc0 % blocks_per_ne00 == 0;
-    const bool did_not_write_last      = kbc0/blocks_per_ne00 == kbc0_stop/blocks_per_ne00 && kbc0_stop % blocks_per_ne00 != 0;
+    const bool wrote_beginning_of_tile = fastmodulo(kbc0, blocks_per_ne00) == 0;
+    const bool did_not_write_last      = fastdiv(kbc0, blocks_per_ne00) == fastdiv(kbc0_stop, blocks_per_ne00) && fastmodulo(kbc0_stop, blocks_per_ne00) != 0;
     if (did_not_have_any_data || wrote_beginning_of_tile || did_not_write_last) {
         return;
     }
@@ -3825,11 +3822,11 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
 
     // Iterate over previous blocks and sum up partial sums written to fixup buffer.
     // All CUDA blocks that get here must have a previous block that needs a fixup.
-    int64_t bidx = bidx0 - 1;
-    int64_t kbc_stop = kbc0;
+    int bidx = bidx0 - 1;
+    int kbc_stop = kbc0;
     while(true) {
-        int64_t kbc = bidx*nsamples_y*nchannels_y*ntx*nty*blocks_per_ne00 / gridDim.x;
-        kbc -= (kbc % blocks_per_ne00) % blocks_per_iter;
+        int kbc = int64_t(bidx)*(nsamples_y.z*nchannels_y.z*ntx.z*nty*blocks_per_ne00.z) / gridDim.x;
+        kbc -= fastmodulo(kbc, blocks_per_ne00) % blocks_per_iter;
 
         if (kbc == kbc_stop) { // Did not have any data.
             bidx--;
@@ -3839,20 +3836,16 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
 
         any_fixup = true;
 
+
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
             const int j = j0 + threadIdx.y;
 
-#pragma unroll
-            for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
-                const int i = i0 + threadIdx.x;
-
-                sum[(j0/nwarps) * (mmq_y/warp_size) + i0/warp_size] += tmp_last_tile[bidx*(mmq_x*mmq_y) + j*mmq_y + i];
-            }
+            sum[j0/nwarps] += tmp_last_tile[bidx*(mmq_x*mmq_y) + j*mmq_y + i];
         }
 
         // If this block started in a previous tile we are done and don't need to combine additional partial results.
-        if (kbc % blocks_per_ne00 == 0 || kbc/blocks_per_ne00 < kbc0/blocks_per_ne00) {
+        if (fastmodulo(kbc, blocks_per_ne00) == 0 || fastdiv(kbc, blocks_per_ne00) < fastdiv(kbc0, blocks_per_ne00)) {
             break;
         }
         bidx--;
@@ -3863,14 +3856,16 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
         return;
     }
 
-    int tmp = kbc0;
-    const int it = tmp / (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-    tmp -= it * (nsamples_y*nchannels_y*ntx*blocks_per_ne00);
-    const int wt = tmp / (nchannels_y*ntx*blocks_per_ne00);
-    tmp -= wt * (nchannels_y*ntx*blocks_per_ne00);
-    const int zt = tmp / (ntx*blocks_per_ne00);
-    tmp -= zt * (ntx*blocks_per_ne00);
-    const int jt = tmp / blocks_per_ne00;
+    int tmp = fastdiv(kbc0, blocks_per_ne00);
+    uint2 tmp2 = fast_div_modulo(tmp, ntx);
+    const int jt = tmp2.y;
+    tmp = tmp2.x;
+    tmp2 = fast_div_modulo(tmp, nchannels_y);
+    const int zt = tmp2.y;
+    tmp = tmp2.x;
+    tmp2 = fast_div_modulo(tmp, nsamples_y);
+    const int wt = tmp2.y;
+    const int it = tmp2.x;
 
     if (!ids_dst) {
         const int offset_dst = wt*stride_sample_dst + zt*stride_channel_dst + jt*mmq_x*stride_col_dst + it*mmq_y;
@@ -3878,6 +3873,9 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
 
         const int i_max = nrows_x   - it*mmq_y - 1;
         const int j_max = ncols_dst - jt*mmq_x - 1;
+        if (need_check && i > i_max) {
+            return;
+        }
 
 #pragma unroll
         for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -3887,16 +3885,7 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
                 return;
             }
 
-#pragma unroll
-            for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
-                const int i = i0 + threadIdx.x;
-
-                if (need_check && i > i_max) {
-                    continue;
-                }
-
-                dst[j*stride_col_dst + i] += sum[(j0/nwarps) * (mmq_y/warp_size) + i0/warp_size];
-            }
+            dst[j*stride_col_dst + i] += sum[j0/nwarps];
         }
         return;
     }
@@ -3916,6 +3905,9 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
 
     const int i_max = nrows_x  - it*mmq_y - 1;
     const int j_max = col_diff - jt*mmq_x - 1;
+    if (need_check && i > i_max) {
+        return;
+    }
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -3925,16 +3917,7 @@ static __global__ void mul_mat_q_stream_k_fixup(const int32_t * ids_dst,
             return;
         }
 
-#pragma unroll
-        for (int i0 = 0; i0 < mmq_y; i0 += warp_size) {
-            const int i = i0 + threadIdx.x;
-
-            if (need_check && i > i_max) {
-                continue;
-            }
-
-            dst[ids_dst_shared[j]*stride_col_dst + i] += sum[(j0/nwarps) * (mmq_y/warp_size) + i0/warp_size];
-        }
+        dst[ids_dst_shared[j]*stride_col_dst + i] += sum[j0/nwarps];
     }
 }
 
@@ -3982,29 +3965,44 @@ static void launch_mul_mat_q(ggml_backend_cuda_context & ctx, const mmq_args & a
     const int channel_ratio = args.nchannels_y / args.nchannels_x;
     const int sample_ratio  = args.nsamples_y  / args.nsamples_x;
 
+    const uint3 blocks_per_ne00_fd = init_fastdiv_values(args.ncols_x / ggml_cuda_type_traits<type>::qk);
+    const uint3 ntx_fd             = init_fastdiv_values(ntx);
+    const uint3 nchannels_y_fd     = init_fastdiv_values(args.nchannels_y);
+    const uint3 nsamples_y_fd      = init_fastdiv_values(args.nsamples_y);
+    const uint3 channel_ratio_fd   = init_fastdiv_values(channel_ratio);
+    const uint3 sample_ratio_fd    = init_fastdiv_values(sample_ratio);
+
     if (!args.use_stream_k) {
         if (args.nrows_x % mmq_y == 0) {
             constexpr bool need_check = false;
             mul_mat_q<type, mmq_x, need_check><<<block_nums_xy_tiling, block_dims, nbytes_shared, stream>>>
                 (args.x, args.y, args.ids_dst, args.expert_bounds, args.dst, nullptr,
-                 args.ncols_x, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
-                 channel_ratio, args.nchannels_y, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
-                 sample_ratio, args.nsamples_y, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
-                 args.ncols_max);
+                 blocks_per_ne00_fd, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
+                 channel_ratio_fd, nchannels_y_fd, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
+                 sample_ratio_fd, nsamples_y_fd, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
+                 ntx_fd);
         } else {
             constexpr bool need_check = true;
             mul_mat_q<type, mmq_x, need_check><<<block_nums_xy_tiling, block_dims, nbytes_shared, stream>>>
                 (args.x, args.y, args.ids_dst, args.expert_bounds, args.dst, nullptr,
-                 args.ncols_x, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
-                 channel_ratio, args.nchannels_y, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
-                 sample_ratio, args.nsamples_y, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
-                 args.ncols_max);
+                 blocks_per_ne00_fd, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
+                 channel_ratio_fd, nchannels_y_fd, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
+                 sample_ratio_fd, nsamples_y_fd, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
+                 ntx_fd);
         }
         return;
     }
 
-    const dim3 block_nums_stream_k(nsm, 1, 1);
-    const bool fixup_needed = ntx*nty*ntzw % nsm != 0;
+    // For the stream-k kernel it is possible to run it with tiling by setting the number of CUDA blocks equal to the number of tiles.
+    // This is worthwhile if the efficiency of tiling is high and skipping the fixup kernel is more important.
+    const int ntiles_dst = ntx * nty * ntzw;
+    const int tiles_nwaves = (ntiles_dst + nsm - 1) / nsm;
+    const int tiles_efficiency_percent = 100 * ntiles_dst / (nsm*tiles_nwaves);
+    const dim3 block_nums_stream_k(GGML_CUDA_CC_IS_NVIDIA(cc) && tiles_efficiency_percent >= 90 ? ntiles_dst : nsm, 1, 1);
+
+    GGML_ASSERT(ntiles_dst * blocks_per_ne00_fd.z < (1 << 30)); // Assert that variable kbc will not overflow.
+
+    const bool fixup_needed = ntiles_dst % block_nums_stream_k.x != 0;
 
     ggml_cuda_pool & pool = ctx.pool(id);
     ggml_cuda_pool_alloc<float> tmp_fixup(pool);
@@ -4012,40 +4010,45 @@ static void launch_mul_mat_q(ggml_backend_cuda_context & ctx, const mmq_args & a
         tmp_fixup.alloc(block_nums_stream_k.x * mmq_x*mmq_y);
     }
 
+    const dim3 block_nums_fixup(block_nums_stream_k.x, mmq_y/warp_size, 1);
+    const dim3 block_dims_fixup(block_dims.x, block_dims.y/2, block_dims.z);
+
     if (args.nrows_x % mmq_y == 0) {
         constexpr bool need_check = false;
         mul_mat_q<type, mmq_x, need_check><<<block_nums_stream_k, block_dims, nbytes_shared, stream>>>
             (args.x, args.y, args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr,
-             args.ncols_x, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
-             channel_ratio, args.nchannels_y, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
-             sample_ratio, args.nsamples_y, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
-             args.ncols_max);
+             blocks_per_ne00_fd, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
+             channel_ratio_fd, nchannels_y_fd, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
+             sample_ratio_fd, nsamples_y_fd, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
+             ntx_fd);
 
         if (!fixup_needed) {
             return;
         }
 
-        mul_mat_q_stream_k_fixup<type, mmq_x, need_check><<<block_nums_stream_k, block_dims, 0, stream>>>
-            (args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr, args.ncols_x, args.nrows_x, args.ncols_dst,
-             args.nrows_dst, args.nchannels_y, args.stride_channel_dst, args.nsamples_y, args.stride_sample_dst,
-             args.ncols_max);
+        CUDA_CHECK(cudaGetLastError());
+        mul_mat_q_stream_k_fixup<type, mmq_x, need_check><<<block_nums_fixup, block_dims_fixup, 0, stream>>>
+            (args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr, blocks_per_ne00_fd, args.nrows_x, args.ncols_dst,
+             args.nrows_dst, nchannels_y_fd, args.stride_channel_dst, nsamples_y_fd, args.stride_sample_dst,
+             ntx_fd);
     } else {
         constexpr bool need_check = true;
         mul_mat_q<type, mmq_x, need_check><<<block_nums_stream_k, block_dims, nbytes_shared, stream>>>
             (args.x, args.y, args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr,
-             args.ncols_x, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
-             channel_ratio, args.nchannels_y, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
-             sample_ratio, args.nsamples_y, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
-             args.ncols_max);
+             blocks_per_ne00_fd, args.nrows_x, args.ncols_dst, args.stride_row_x, args.ncols_y, args.nrows_dst,
+             channel_ratio_fd, nchannels_y_fd, args.stride_channel_x, args.stride_channel_y, args.stride_channel_dst,
+             sample_ratio_fd, nsamples_y_fd, args.stride_sample_x, args.stride_sample_y, args.stride_sample_dst,
+             ntx_fd);
 
         if (!fixup_needed) {
             return;
         }
 
-        mul_mat_q_stream_k_fixup<type, mmq_x, need_check><<<block_nums_stream_k, block_dims, 0, stream>>>
-            (args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr, args.ncols_x, args.nrows_x, args.ncols_dst,
-             args.nrows_dst, args.nchannels_y, args.stride_channel_dst, args.nsamples_y, args.stride_sample_dst,
-             args.ncols_max);
+        CUDA_CHECK(cudaGetLastError());
+        mul_mat_q_stream_k_fixup<type, mmq_x, need_check><<<block_nums_fixup, block_dims_fixup, 0, stream>>>
+            (args.ids_dst, args.expert_bounds, args.dst, tmp_fixup.ptr, blocks_per_ne00_fd, args.nrows_x, args.ncols_dst,
+             args.nrows_dst, nchannels_y_fd, args.stride_channel_dst, nsamples_y_fd, args.stride_sample_dst,
+             ntx_fd);
     }
 }
 
@@ -4170,3 +4173,4 @@ void ggml_cuda_op_mul_mat_q(
     const int64_t src1_padded_row_size, cudaStream_t stream);
 
 bool ggml_cuda_should_use_mmq(enum ggml_type type, int cc, int64_t ne11, int64_t n_experts);
+
diff --git a/ggml/src/ggml-cuda/mmvq.cu b/ggml/src/ggml-cuda/mmvq.cu
index 07b10167b..da48f313a 100644
--- a/ggml/src/ggml-cuda/mmvq.cu
+++ b/ggml/src/ggml-cuda/mmvq.cu
@@ -9,6 +9,7 @@ typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_
 
 static constexpr __device__ vec_dot_q_cuda_t get_vec_dot_q_cuda(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return vec_dot_q1_0_q8_1;
         case GGML_TYPE_Q4_0:    return vec_dot_q4_0_q8_1;
         case GGML_TYPE_Q4_1:    return vec_dot_q4_1_q8_1;
         case GGML_TYPE_Q5_0:    return vec_dot_q5_0_q8_1;
@@ -36,6 +37,7 @@ static constexpr __device__ vec_dot_q_cuda_t get_vec_dot_q_cuda(ggml_type type)
 
 static constexpr __host__ __device__ int get_vdr_mmvq(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:    return VDR_Q1_0_Q8_1_MMVQ;
         case GGML_TYPE_Q4_0:    return VDR_Q4_0_Q8_1_MMVQ;
         case GGML_TYPE_Q4_1:    return VDR_Q4_1_Q8_1_MMVQ;
         case GGML_TYPE_Q5_0:    return VDR_Q5_0_Q8_1_MMVQ;
@@ -113,6 +115,7 @@ static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_pascal_older(gg
         case GGML_TYPE_IQ4_NL:  return 6;
         case GGML_TYPE_IQ4_XS:  return 5;
         case GGML_TYPE_MXFP4:   return 4;
+        case GGML_TYPE_NVFP4:   return 4;
         case GGML_TYPE_Q2_K:    return 4;
         case GGML_TYPE_Q3_K:    return 4;
         case GGML_TYPE_Q4_0:    return 6;
@@ -133,6 +136,7 @@ static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_turing_plus(ggm
         case GGML_TYPE_IQ3_S:   return 6;
         case GGML_TYPE_IQ3_XXS: return 7;
         case GGML_TYPE_MXFP4:   return 7;
+        case GGML_TYPE_NVFP4:   return 8;
         case GGML_TYPE_Q2_K:    return 7;
         case GGML_TYPE_Q3_K:    return 5;
         default:                return MMVQ_MAX_BATCH_SIZE;
@@ -219,6 +223,7 @@ static constexpr __host__ __device__ int get_mmvq_mmid_max_batch_rdna4(ggml_type
         case GGML_TYPE_IQ4_NL:  return 7;
         case GGML_TYPE_IQ4_XS:  return 5;
         case GGML_TYPE_MXFP4:   return 5;
+        case GGML_TYPE_NVFP4:   return 5;
         case GGML_TYPE_Q3_K:    return 4;
         case GGML_TYPE_Q4_0:    return 7;
         case GGML_TYPE_Q4_1:    return 7;
@@ -886,6 +891,12 @@ static void mul_mat_vec_q_switch_type(
         const int nsamples_x, const int nsamples_dst, const int stride_sample_x, const int stride_sample_y, const int stride_sample_dst,
         const int ids_stride, cudaStream_t stream) {
     switch (type_x) {
+        case GGML_TYPE_Q1_0:
+            mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_Q1_0>
+                (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
+                 nchannels_x, nchannels_y, nchannels_dst, stride_channel_x, stride_channel_y, stride_channel_dst,
+                 nsamples_x, nsamples_dst, stride_sample_x, stride_sample_y, stride_sample_dst, ids_stride, stream);
+            break;
         case GGML_TYPE_Q4_0:
             mul_mat_vec_q_switch_ncols_dst<GGML_TYPE_Q4_0>
                 (vx, vy, ids, fusion, dst, ncols_x, nrows_x, ncols_dst, stride_row_x, stride_col_y, stride_col_dst,
diff --git a/ggml/src/ggml-cuda/quantize.cu b/ggml/src/ggml-cuda/quantize.cu
index 4300ffc14..52f664719 100644
--- a/ggml/src/ggml-cuda/quantize.cu
+++ b/ggml/src/ggml-cuda/quantize.cu
@@ -70,6 +70,102 @@ __device__ __forceinline__ uint8_t compute_e8m0_scale(float amax) {
     return static_cast<uint8_t>(biased);
 }
 
+
+static __global__ void quantize_mmq_nvfp4(
+        const float * __restrict__ x, const int32_t * __restrict__ ids, void * __restrict__ vy,
+        const int64_t ne00, const int64_t s01, const int64_t s02, const int64_t s03,
+        const int64_t ne0, const int64_t ne1, const int64_t ne2) {
+#if defined(BLACKWELL_MMA_AVAILABLE)
+
+    const int64_t i0_base = ((int64_t) blockDim.x * blockIdx.y + threadIdx.x) * QK_NVFP4_SUB;
+    if (i0_base >= ne0) {
+        return;
+    }
+
+    const int64_t i1 = blockIdx.x;
+    const int64_t i2 = blockIdx.z % ne2;
+    const int64_t i3 = blockIdx.z / ne2;
+    const int64_t i01 = ids ? ids[i1] : i1;
+    const int64_t k_block = i0_base / QK_K;
+    const int64_t blocks_per_col = (ne0 + QK_K - 1) / QK_K;
+    if (k_block >= blocks_per_col) {
+        return;
+    }
+
+    const int64_t ib = blockIdx.z * ((int64_t) blocks_per_col * ne1) + k_block * ne1 + blockIdx.x;
+    block_fp4_mmq * y = (block_fp4_mmq *) vy;
+    block_fp4_mmq * yb = y + ib;
+
+    const int sub = (i0_base % QK_K) / QK_NVFP4_SUB;
+
+    float vals_raw[QK_NVFP4_SUB];
+    float amax_raw = 0.0f;
+    const int64_t base_idx = i3 * s03 + i2 * s02 + i01 * s01;
+#pragma unroll
+    for (int k = 0; k < QK_NVFP4_SUB; k++) {
+        const int64_t i00 = i0_base + k;
+        if (i00 < ne00) {
+            const float v = x[base_idx + i00];
+            vals_raw[k] = v;
+            amax_raw = fmaxf(amax_raw, fabsf(v));
+        } else {
+            vals_raw[k] = 0.0f;
+        }
+    }
+
+    static constexpr int test_offsets[5] = { 0, -1, 1, -2, 2};
+    const int first_fp8_code = (int) ggml_cuda_fp32_to_ue4m3(amax_raw / 6.0f);
+
+    float best_err = FLT_MAX;
+    uint8_t fp8_code = 0;
+    float subblock_scale = 0.0f;
+
+#pragma unroll // Check +/- 2 to find best code to reduce NVFP4 activation loss. Negligible overhead on Blackwell.
+    for (int i = 0; i < 5; i++) {
+        const int test_code = first_fp8_code + test_offsets[i];
+        if (test_code < 0 || test_code > 0x7e) {
+            continue;
+        }
+        const uint8_t code = (uint8_t) test_code;
+        const float test_scale = ggml_cuda_ue4m3_to_fp32(code);
+        const float test_inv_scale = test_scale > 0.0f ? 0.5f / test_scale : 0.0f;
+        float cur_err = 0.0f;
+#pragma unroll
+        for (int k = 0; k < QK_NVFP4_SUB; ++k) {
+            const float v = vals_raw[k];
+            const uint8_t q = ggml_cuda_float_to_fp4_e2m1(v, test_inv_scale);
+            const float err_diff = fabsf(v) - fabsf(kvalues_mxfp4[q & 0x7]) * test_scale;
+            cur_err = fmaf(err_diff, err_diff, cur_err);
+        }
+
+        if (cur_err < best_err) {
+            best_err = cur_err;
+            fp8_code = test_code;
+            subblock_scale = test_scale;
+        }
+    }
+
+    const float inv_scale = subblock_scale > 0.0f ? 0.5f / subblock_scale : 0.0f;
+    uint32_t q0 = 0;
+    uint32_t q1 = 0;
+#pragma unroll // this is faster than the previous __nv_fp4x4_e2m1
+    for (int k = 0; k < QK_NVFP4_SUB / 4; ++k) {
+        q0 |= (uint32_t) ggml_cuda_float_to_fp4_e2m1(vals_raw[k +  0], inv_scale) << (8 * k);
+        q0 |= (uint32_t) ggml_cuda_float_to_fp4_e2m1(vals_raw[k +  8], inv_scale) << (8 * k + 4);
+        q1 |= (uint32_t) ggml_cuda_float_to_fp4_e2m1(vals_raw[k +  4], inv_scale) << (8 * k);
+        q1 |= (uint32_t) ggml_cuda_float_to_fp4_e2m1(vals_raw[k + 12], inv_scale) << (8 * k + 4);
+    }
+
+    uint32_t * yqs = reinterpret_cast<uint32_t *>(yb->qs);
+    yqs[2 * sub + 0] = q0;
+    yqs[2 * sub + 1] = q1;
+    reinterpret_cast<uint8_t *>(yb->d4)[sub] = fp8_code;
+#else
+    NO_DEVICE_CODE; // This is for Blackwell NVFP4 activations only.
+#endif // defined(BLACKWELL_MMA_AVAILABLE)
+
+}
+
 // quantize values in the format mxfp4 is stored which is interleaved nibbles
 // i.e. a block a0-a31 is represented as a0a16,a1a17 ...a15a31
 static __global__ void quantize_mmq_mxfp4(const float * __restrict__ x,
@@ -316,28 +412,32 @@ void quantize_mmq_q8_1_cuda(
     }
 }
 
-void quantize_mmq_mxfp4_cuda(const float *                    x,
-                             const int32_t *                  ids,
-                             void *                           vy,
-                             [[maybe_unused]] const ggml_type type_src0,
-                             const int64_t                    ne00,
-                             const int64_t                    s01,
-                             const int64_t                    s02,
-                             const int64_t                    s03,
-                             const int64_t                    ne0,
-                             const int64_t                    ne1,
-                             const int64_t                    ne2,
-                             const int64_t                    ne3,
-                             cudaStream_t                     stream) {
-    GGML_ASSERT(ne0 % (2 * QK_MXFP4) == 0);
-
-    constexpr int nwarps = 8;
-    constexpr int vals_per_warp  = 2 * QK_MXFP4;
-    constexpr int vals_per_block = nwarps * vals_per_warp;
-
-    const int64_t block_num_y = (ne0 + vals_per_block - 1) / vals_per_block;
-    const dim3    num_blocks(ne1, block_num_y, ne2 * ne3);
-    const dim3    block_size(WARP_SIZE, nwarps, 1);
-
-    quantize_mmq_mxfp4<<<num_blocks, block_size, 0, stream>>>(x, ids, vy, ne00, s01, s02, s03, ne0, ne1, ne2);
+void quantize_mmq_fp4_cuda(
+        const float * x, const int32_t * ids, void * vy, const ggml_type type_src0,
+        const int64_t ne00, const int64_t s01, const int64_t s02, const int64_t s03,
+        const int64_t ne0, const int64_t ne1, const int64_t ne2, const int64_t ne3, cudaStream_t stream) {
+    GGML_ASSERT(type_src0 == GGML_TYPE_MXFP4 || type_src0 == GGML_TYPE_NVFP4);
+    GGML_ASSERT(ne0 > 0);
+
+    if (type_src0 == GGML_TYPE_NVFP4) {
+        GGML_ASSERT(ne00 % QK_NVFP4 == 0);
+        constexpr int nvfp4_block_size = 128;
+        const int64_t block_num_y = (ne0 + QK_NVFP4_SUB * nvfp4_block_size - 1) / (QK_NVFP4_SUB * nvfp4_block_size);
+        const dim3 block_size(nvfp4_block_size, 1, 1);
+        const dim3 num_blocks(ne1, block_num_y, ne2 * ne3);
+        quantize_mmq_nvfp4<<<num_blocks, block_size, 0, stream>>>(
+            x, ids, vy, ne00, s01, s02, s03, ne0, ne1, ne2);
+    } else {
+        GGML_ASSERT(ne0 % (2 * QK_MXFP4) == 0);
+
+        constexpr int nwarps = 8;
+        constexpr int vals_per_warp  = 2 * QK_MXFP4;
+        constexpr int vals_per_block = nwarps * vals_per_warp;
+
+        const int64_t block_num_y = (ne0 + vals_per_block - 1) / vals_per_block;
+        const dim3    num_blocks(ne1, block_num_y, ne2 * ne3);
+        const dim3    block_size(WARP_SIZE, nwarps, 1);
+
+        quantize_mmq_mxfp4<<<num_blocks, block_size, 0, stream>>>(x, ids, vy, ne00, s01, s02, s03, ne0, ne1, ne2);
+    }
 }
diff --git a/ggml/src/ggml-cuda/quantize.cuh b/ggml/src/ggml-cuda/quantize.cuh
index 6a91df635..768a3ae6d 100644
--- a/ggml/src/ggml-cuda/quantize.cuh
+++ b/ggml/src/ggml-cuda/quantize.cuh
@@ -26,7 +26,7 @@ void quantize_mmq_q8_1_cuda(
         ggml_type type_src0, int64_t ne00, int64_t s01, int64_t s02, int64_t s03,
         int64_t ne0, int64_t ne1, int64_t ne2, int64_t ne3, cudaStream_t stream);
 
-void quantize_mmq_mxfp4_cuda(const float *   x,
+void quantize_mmq_fp4_cuda(const float *   x,
                              const int32_t * ids,
                              void *          vy,
                              ggml_type       type_src0,
diff --git a/ggml/src/ggml-cuda/ssm-conv.cu b/ggml/src/ggml-cuda/ssm-conv.cu
index 69985cd33..4841389fb 100644
--- a/ggml/src/ggml-cuda/ssm-conv.cu
+++ b/ggml/src/ggml-cuda/ssm-conv.cu
@@ -3,6 +3,7 @@
 
 template <bool apply_silu, size_t split_d_inner, size_t d_conv>
 static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float * __restrict__ src1,
+                                    const float * __restrict__ bias,
                                     const int src0_nb0, const int src0_nb1, const int src0_nb2, const int src1_nb1,
                                     float * __restrict__ dst, const int dst_nb0, const int dst_nb1, const int dst_nb2,
                                     const int64_t n_t) {
@@ -27,6 +28,8 @@ static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float
         w[j] = w_block[tid * stride_w + j];
     }
 
+    float b = bias != nullptr ? bias[bidy * split_d_inner + tid] : 0.0f;
+
     for (int64_t i = 0; i < n_t; i++) {
         float sumf = 0.0f;
 
@@ -42,12 +45,14 @@ static __global__ void ssm_conv_f32(const float * __restrict__ src0, const float
         for (size_t j = 0; j < d_conv; j++) {
             sumf += x[(i + j) % d_conv] * w[j];
         }
+        sumf += b;
         y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf;
     }
 }
 
 template <bool apply_silu, size_t split_d_inner, size_t d_conv, int64_t split_n_t>
 static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0, const float * __restrict__ src1,
+                                               const float * __restrict__ bias,
                                                const int src0_nb0, const int src0_nb1, const int src0_nb2,
                                                const int src1_nb1, float * __restrict__ dst, const int dst_nb0,
                                                const int dst_nb1, const int dst_nb2, const int64_t n_t) {
@@ -97,6 +102,8 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0,
         w[j] = w_block[tid * stride_w + j];
     }
 
+    float b = bias != nullptr ? bias[bidy * split_d_inner + tid] : 0.0f;
+
     // Compute from shared memory
     for (int64_t i = 0; i < local_n_t; i++) {
         float sumf = 0.0f;
@@ -104,12 +111,13 @@ static __global__ void ssm_conv_long_token_f32(const float * __restrict__ src0,
         for (size_t j = 0; j < d_conv; j++) {
             sumf += smem[tid * n_cols + i + j] * w[j];
         }
+        sumf += b;
         y_block[i * stride_y + tid] = apply_silu ? ggml_cuda_op_silu_single(sumf) : sumf;
     }
 }
 
 template <bool apply_silu>
-static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int src0_nb0, const int src0_nb1,
+static void ssm_conv_f32_cuda(const float * src0, const float * src1, const float * bias, const int src0_nb0, const int src0_nb1,
                               const int src0_nb2, const int src1_nb1, float * dst, const int dst_nb0, const int dst_nb1,
                               const int dst_nb2, const int64_t nc, const int64_t nr, const int64_t n_t,
                               const int64_t n_s, cudaStream_t stream) {
@@ -120,30 +128,38 @@ static void ssm_conv_f32_cuda(const float * src0, const float * src1, const int
         constexpr int kNC = decltype(NC)::value;
         if (n_t <= 32) {
             const dim3 blocks(n_s, (nr + threads - 1) / threads, 1);
-            ssm_conv_f32<apply_silu, threads, kNC><<<blocks, threads, 0, stream>>>(src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1,
+            ssm_conv_f32<apply_silu, threads, kNC><<<blocks, threads, 0, stream>>>(src0, src1, bias, src0_nb0, src0_nb1, src0_nb2, src1_nb1,
                                                                        dst, dst_nb0, dst_nb1, dst_nb2, n_t);
         } else {
             const int64_t split_n_t = 32;
             dim3          blocks(n_s, (nr + threads - 1) / threads, (n_t + split_n_t - 1) / split_n_t);
             const size_t  smem_size = threads * (kNC - 1 + split_n_t) * sizeof(float);
             ssm_conv_long_token_f32<apply_silu, threads, kNC, split_n_t><<<blocks, threads, smem_size, stream>>>(
-                src0, src1, src0_nb0, src0_nb1, src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t);
+                src0, src1, bias, src0_nb0, src0_nb1, src0_nb2, src1_nb1, dst, dst_nb0, dst_nb1, dst_nb2, n_t);
         }
     };
 
     switch (nc) {
         case 3: launch_kernel(std::integral_constant<int, 3>{}); break;
         case 4: launch_kernel(std::integral_constant<int, 4>{}); break;
+        case 5: launch_kernel(std::integral_constant<int, 5>{}); break;
         case 9: launch_kernel(std::integral_constant<int, 9>{}); break;
-        default: GGML_ABORT("Only support kernel sizes 3, 4, 9 right now.");
+        default: GGML_ABORT("Only support kernel sizes 3, 4, 5, 9 right now.");
     }
 }
 
-void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst) {
+void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * bias_add_node, ggml_tensor * silu_dst) {
     const struct ggml_tensor * src0 = dst->src[0];  // conv_x
     const struct ggml_tensor * src1 = dst->src[1];  // conv1d.weight
+    const bool fuse_bias = bias_add_node != nullptr;
     const bool fuse_silu = silu_dst != nullptr;
 
+    // bias always comes with silu.
+    GGML_ASSERT(!fuse_bias || fuse_silu);
+
+    // The bias (when fused) is the non-conv operand of the ADD node.
+    const struct ggml_tensor * bias = fuse_bias ? (bias_add_node->src[0] == dst ? bias_add_node->src[1] : bias_add_node->src[0]) : nullptr;
+
     // When fusing, write to silu_dst (the node downstream references).
     const struct ggml_tensor * out = fuse_silu ? silu_dst : dst;
 
@@ -159,16 +175,23 @@ void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, g
 
     const float * src0_d = (const float *) src0->data;
     const float * src1_d = (const float *) src1->data;
+    const float * bias_d = fuse_bias ? (const float *) bias->data : nullptr;
     float *       dst_d  = (float *) out->data;
     cudaStream_t  stream = ctx.stream();
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(out->type == GGML_TYPE_F32);
+    if (fuse_bias) {
+        GGML_ASSERT(bias->type == GGML_TYPE_F32);
+        GGML_ASSERT(ggml_is_contiguous(bias));
+        GGML_ASSERT(ggml_nelements(bias) == nr);
+    }
+
     if (fuse_silu) {
-        ssm_conv_f32_cuda<true>(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
+        ssm_conv_f32_cuda<true>(src0_d, src1_d, bias_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
                           out->nb[2], nc, nr, n_t, n_s, stream);
     } else {
-        ssm_conv_f32_cuda<false>(src0_d, src1_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
+        ssm_conv_f32_cuda<false>(src0_d, src1_d, bias_d, src0->nb[0], src0->nb[1], src0->nb[2], src1->nb[1], dst_d, out->nb[0], out->nb[1],
                           out->nb[2], nc, nr, n_t, n_s, stream);
     }
 }
diff --git a/ggml/src/ggml-cuda/ssm-conv.cuh b/ggml/src/ggml-cuda/ssm-conv.cuh
index f96a1cd24..8514ca849 100644
--- a/ggml/src/ggml-cuda/ssm-conv.cuh
+++ b/ggml/src/ggml-cuda/ssm-conv.cuh
@@ -1,3 +1,3 @@
 #include "common.cuh"
 
-void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * silu_dst = nullptr);
+void ggml_cuda_op_ssm_conv(ggml_backend_cuda_context & ctx, ggml_tensor * dst, ggml_tensor * bias_add_node = nullptr, ggml_tensor * silu_dst = nullptr);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_32.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_32.cu
index 1f554d81e..8fc3b1797 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_32.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_32.cu
@@ -2,4 +2,5 @@
 
 #include "../fattn-mma-f16.cuh"
 
+DECL_FATTN_MMA_F16_CASE(320, 256, 1, 32);
 DECL_FATTN_MMA_F16_CASE(576, 512, 1, 32);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_32.cu b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_32.cu
index 264751d65..abd2b21ce 100644
--- a/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_32.cu
+++ b/ggml/src/ggml-cuda/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_32.cu
@@ -2,4 +2,5 @@
 
 #include "../fattn-mma-f16.cuh"
 
+DECL_FATTN_MMA_F16_CASE(320, 256, 2, 32);
 DECL_FATTN_MMA_F16_CASE(576, 512, 2, 32);
diff --git a/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq320-dv256.cu b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq320-dv256.cu
new file mode 100644
index 000000000..c91f50807
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/fattn-tile-instance-dkq320-dv256.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.cuh"
+
+DECL_FATTN_TILE_CASE(320, 256);
diff --git a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
index 40d51f93f..5e9a1cb2e 100755
--- a/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
+++ b/ggml/src/ggml-cuda/template-instances/generate_cu_files.py
@@ -3,7 +3,7 @@
 from glob import glob
 import os
 
-HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 512, 576]
+HEAD_SIZES_KQ = [40, 64, 72, 80, 96, 112, 128, 256, 320, 512, 576]
 
 TYPES_KV = ["GGML_TYPE_F16", "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0", "GGML_TYPE_BF16"]
 
@@ -32,6 +32,7 @@
 SOURCE_FATTN_MMA_CASE = "DECL_FATTN_MMA_F16_CASE({head_size_kq}, {head_size_v}, {ncols1}, {ncols2});\n"
 
 TYPES_MMQ = [
+    "GGML_TYPE_Q1_0",
     "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0",
     "GGML_TYPE_Q2_K", "GGML_TYPE_Q3_K", "GGML_TYPE_Q4_K", "GGML_TYPE_Q5_K", "GGML_TYPE_Q6_K",
     "GGML_TYPE_IQ2_XXS", "GGML_TYPE_IQ2_XS", "GGML_TYPE_IQ2_S", "GGML_TYPE_IQ3_XXS", "GGML_TYPE_IQ3_S",
@@ -61,7 +62,7 @@ def get_short_name(long_quant_name):
     os.remove(filename)
 
 for head_size_kq in HEAD_SIZES_KQ:
-    head_size_v = head_size_kq if head_size_kq != 576 else 512
+    head_size_v = 256 if head_size_kq == 320 else (head_size_kq if head_size_kq != 576 else 512)
     with open(f"fattn-tile-instance-dkq{head_size_kq}-dv{head_size_v}.cu", "w") as f:
         f.write(SOURCE_FATTN_TILE.format(head_size_kq=head_size_kq, head_size_v=head_size_v))
 
@@ -83,13 +84,16 @@ def get_short_name(long_quant_name):
                     continue
                 if head_size_kq == 72:
                     continue
-                if head_size_kq == 512 and ncols2 not in (4, 8):
+                # Skip compilation of unused ncols2 values for niche head sizes:
+                if head_size_kq == 320 and ncols2 != 32: # Mistral Small 4
                     continue
-                if head_size_kq != 576 and ncols2 in (16, 32):
+                if head_size_kq == 512 and ncols2 not in (4, 8): # Gemma 4
                     continue
-                if head_size_kq == 576 and ncols2 not in (4, 16, 32):
+                if head_size_kq == 576 and ncols2 not in (4, 16, 32): # Deepseek, GLM 4.7 Flash
                     continue
-                head_size_v = head_size_kq if head_size_kq != 576 else 512
+                if head_size_kq not in (320, 576) and ncols2 in (16, 32):
+                    continue
+                head_size_v = 256 if head_size_kq == 320 else (head_size_kq if head_size_kq != 576 else 512)
                 f.write(SOURCE_FATTN_MMA_CASE.format(ncols1=ncols1, ncols2=ncols2, head_size_kq=head_size_kq, head_size_v=head_size_v))
 
 for type in TYPES_MMQ:
diff --git a/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu b/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu
new file mode 100644
index 000000000..f0686b0d0
--- /dev/null
+++ b/ggml/src/ggml-cuda/template-instances/mmq-instance-q1_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q1_0);
diff --git a/ggml/src/ggml-cuda/top-k.cu b/ggml/src/ggml-cuda/top-k.cu
index 785a18389..59ce36fb1 100644
--- a/ggml/src/ggml-cuda/top-k.cu
+++ b/ggml/src/ggml-cuda/top-k.cu
@@ -25,14 +25,14 @@ static void top_k_cub(ggml_cuda_pool & pool,
     auto indexes_in = cuda::make_counting_iterator(0);
 
     size_t temp_storage_bytes = 0;
-    DeviceTopK::MaxPairs(nullptr, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst, ncols, k,
-                         env);
+    CUDA_CHECK(DeviceTopK::MaxPairs(nullptr, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst, ncols, k,
+                         env));
 
     ggml_cuda_pool_alloc<uint8_t> temp_storage_alloc(pool, temp_storage_bytes);
     void *                        d_temp_storage = temp_storage_alloc.get();
 
-    DeviceTopK::MaxPairs(d_temp_storage, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst,
-                         ncols, k, env);
+    CUDA_CHECK(DeviceTopK::MaxPairs(d_temp_storage, temp_storage_bytes, src, cuda::discard_iterator(), indexes_in, dst,
+                         ncols, k, env));
 }
 
 #elif defined(GGML_CUDA_USE_CUB)  // CUB_TOP_K_AVAILABLE
diff --git a/ggml/src/ggml-cuda/unary.cu b/ggml/src/ggml-cuda/unary.cu
index 4ad30fa1f..2aeba26f4 100644
--- a/ggml/src/ggml-cuda/unary.cu
+++ b/ggml/src/ggml-cuda/unary.cu
@@ -65,6 +65,11 @@ static __device__ __forceinline__ float op_sqr(float x) {
     return x * x;
 }
 
+static __device__ __forceinline__ float op_relu_sqr(float x) {
+    const float r = fmaxf(x, 0.0f);
+    return r * r;
+}
+
 static __device__ __forceinline__ float op_sqrt(float x) {
     return sqrtf(x);
 }
@@ -615,3 +620,21 @@ void ggml_cuda_op_unary_mul(ggml_backend_cuda_context & ctx, ggml_tensor * unary
             GGML_ABORT("Unsupported unary op for fused unary+mul");
     }
 }
+
+/* fused relu + sqr */
+
+void ggml_cuda_op_relu_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * relu_node, ggml_tensor * sqr_node) {
+    const ggml_tensor * src = relu_node->src[0];
+    cudaStream_t stream = ctx.stream();
+
+    GGML_ASSERT(ggml_is_contiguous(src));
+    GGML_ASSERT(src->type == GGML_TYPE_F32 || src->type == GGML_TYPE_F16);
+    GGML_ASSERT(src->type == sqr_node->type);
+
+    const int k = ggml_nelements(src);
+    if (src->type == GGML_TYPE_F16) {
+        unary_cuda<op_relu_sqr>((const half *)src->data, (half *)sqr_node->data, k, stream);
+    } else {
+        unary_cuda<op_relu_sqr>((const float *)src->data, (float *)sqr_node->data, k, stream);
+    }
+}
diff --git a/ggml/src/ggml-cuda/unary.cuh b/ggml/src/ggml-cuda/unary.cuh
index f1dd2183a..81ed873ec 100644
--- a/ggml/src/ggml-cuda/unary.cuh
+++ b/ggml/src/ggml-cuda/unary.cuh
@@ -91,6 +91,8 @@ void ggml_cuda_op_xielu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
 void ggml_cuda_op_unary_mul(ggml_backend_cuda_context & ctx, ggml_tensor * unary_node, ggml_tensor * mul_node);
 
+void ggml_cuda_op_relu_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * relu_node, ggml_tensor * sqr_node);
+
 __device__ __forceinline__ float ggml_cuda_op_silu_single(float x) {
     return x / (1.0f + expf(-x));
 }
diff --git a/ggml/src/ggml-cuda/vecdotq.cuh b/ggml/src/ggml-cuda/vecdotq.cuh
index 40b2b41e7..d1741cc8d 100644
--- a/ggml/src/ggml-cuda/vecdotq.cuh
+++ b/ggml/src/ggml-cuda/vecdotq.cuh
@@ -106,6 +106,9 @@ static __device__ __forceinline__ uint32_t unpack_ksigns(const uint8_t v) {
 // VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
 // MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
 
+#define VDR_Q1_0_Q8_1_MMVQ 1  // Process one 32-element chunk at a time for parallelism
+#define VDR_Q1_0_Q8_1_MMQ  4  // Q1_0 has 128 bits (4 ints) per block
+
 #define VDR_Q4_0_Q8_1_MMVQ 2
 #define VDR_Q4_0_Q8_1_MMQ  4
 
@@ -669,6 +672,51 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq(
     return d6 * sumf_d;
 }
 
+static __device__ __forceinline__ float vec_dot_q1_0_q8_1(
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+
+    const block_q1_0 * bq1_0 = (const block_q1_0 *) vbq + kbx;
+
+    // Q1_0: 128 elements with ONE scale
+    // Q8_1: 32 elements per block with individual scales
+    // iqs selects which of the 4 chunks of 32 elements to process (0-3)
+
+    const float d1 = bq1_0->d;
+
+    // Process only the chunk specified by iqs
+    const block_q8_1 * bq8_1_chunk = bq8_1 + iqs;
+
+    // Load 32 bits (4 bytes) for this chunk from Q1_0
+    const int offset = iqs * 4;
+    const int v = bq1_0->qs[offset + 0] | (bq1_0->qs[offset + 1] << 8) |
+                  (bq1_0->qs[offset + 2] << 16) | (bq1_0->qs[offset + 3] << 24);
+
+    // Unpack 32 bits into 32 signed values (-1 or +1)
+    int vi_bytes[8];
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        const int shift = j * 4;
+        const int bits4 = (v >> shift) & 0x0F;
+        const int b0 = (bits4 & 0x01) ? 1 : -1;
+        const int b1 = (bits4 & 0x02) ? 1 : -1;
+        const int b2 = (bits4 & 0x04) ? 1 : -1;
+        const int b3 = (bits4 & 0x08) ? 1 : -1;
+        vi_bytes[j] = (b0 & 0xFF) | ((b1 & 0xFF) << 8) | ((b2 & 0xFF) << 16) | ((b3 & 0xFF) << 24);
+    }
+
+    // Compute dot product for this 32-element chunk
+    int sumi = 0;
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        const int u = get_int_b4(bq8_1_chunk->qs, j);
+        sumi = ggml_cuda_dp4a(vi_bytes[j], u, sumi);
+    }
+
+    // Apply Q1_0's single scale and this chunk's Q8_1 scale
+    const float d8 = __low2float(bq8_1_chunk->ds);
+    return d1 * d8 * sumi;
+}
+
 static __device__ __forceinline__ float vec_dot_q4_0_q8_1(
     const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
diff --git a/ggml/src/ggml-cuda/vendors/cuda.h b/ggml/src/ggml-cuda/vendors/cuda.h
index 07bc47df3..323c98019 100644
--- a/ggml/src/ggml-cuda/vendors/cuda.h
+++ b/ggml/src/ggml-cuda/vendors/cuda.h
@@ -6,6 +6,10 @@
 #include <cuda_bf16.h>
 #include <cuda_fp16.h>
 
+#ifdef GGML_USE_NCCL
+#include <nccl.h>
+#endif // GGML_USE_NCCL
+
 #if CUDART_VERSION >= 11080
 #include <cuda_fp8.h>
 #define FP8_AVAILABLE
diff --git a/ggml/src/ggml-cuda/vendors/hip.h b/ggml/src/ggml-cuda/vendors/hip.h
index ba41843c8..7a9c5ba51 100644
--- a/ggml/src/ggml-cuda/vendors/hip.h
+++ b/ggml/src/ggml-cuda/vendors/hip.h
@@ -10,6 +10,11 @@
 #include <rocwmma/rocwmma-version.hpp>
 #endif // defined(GGML_HIP_ROCWMMA_FATTN)
 
+#ifdef GGML_USE_NCCL
+#include <rccl/rccl.h>
+#endif // GGML_USE_NCCL
+
+
 #define CUBLAS_GEMM_DEFAULT HIPBLAS_GEMM_DEFAULT
 #define CUBLAS_GEMM_DEFAULT_TENSOR_OP HIPBLAS_GEMM_DEFAULT
 #define CUBLAS_OP_N HIPBLAS_OP_N
@@ -71,9 +76,11 @@
 #define cudaDeviceDisablePeerAccess hipDeviceDisablePeerAccess
 #define cudaDeviceEnablePeerAccess hipDeviceEnablePeerAccess
 #define cudaDeviceGetAttribute hipDeviceGetAttribute
+#define cudaDeviceGetPCIBusId hipDeviceGetPCIBusId
 #define cudaDeviceProp hipDeviceProp_t
 #define cudaDeviceSynchronize hipDeviceSynchronize
 #define cudaError_t hipError_t
+#define cudaErrorMemoryAllocation hipErrorOutOfMemory
 #define cudaErrorPeerAccessAlreadyEnabled hipErrorPeerAccessAlreadyEnabled
 #define cudaErrorPeerAccessNotEnabled hipErrorPeerAccessNotEnabled
 #define cudaEventCreateWithFlags hipEventCreateWithFlags
@@ -213,6 +220,10 @@
 #define GCN
 #endif // defined(GCN5) || defined(GCN4)
 
+#if defined(__gfx950__)
+#define CDNA4
+#endif // defined(__gfx950__)
+
 #if defined(__gfx942__)
 #define CDNA3
 #endif // defined(__gfx942__)
@@ -225,9 +236,9 @@
 #define CDNA1
 #endif // defined(__gfx908__)
 
-#if defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
+#if defined(CDNA4) || defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
 #define CDNA // For the entire family
-#endif // defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
+#endif // defined(CDNA4) || defined(CDNA3) || defined(CDNA2) || defined(CDNA1)
 
 #if defined(__GFX12__)
 #define RDNA4
diff --git a/ggml/src/ggml-cuda/vendors/musa.h b/ggml/src/ggml-cuda/vendors/musa.h
index 1abb8acfd..940c34a9f 100644
--- a/ggml/src/ggml-cuda/vendors/musa.h
+++ b/ggml/src/ggml-cuda/vendors/musa.h
@@ -39,9 +39,11 @@
 #define cudaDeviceCanAccessPeer musaDeviceCanAccessPeer
 #define cudaDeviceDisablePeerAccess musaDeviceDisablePeerAccess
 #define cudaDeviceEnablePeerAccess musaDeviceEnablePeerAccess
+#define cudaDeviceGetPCIBusId musaDeviceGetPCIBusId
 #define cudaDeviceProp musaDeviceProp
 #define cudaDeviceSynchronize musaDeviceSynchronize
 #define cudaError_t musaError_t
+#define cudaErrorMemoryAllocation musaErrorMemoryAllocation
 #define cudaErrorPeerAccessAlreadyEnabled musaErrorPeerAccessAlreadyEnabled
 #define cudaErrorPeerAccessNotEnabled musaErrorPeerAccessNotEnabled
 #define cudaEventCreateWithFlags musaEventCreateWithFlags
diff --git a/ggml/src/ggml-hexagon/CMakeLists.txt b/ggml/src/ggml-hexagon/CMakeLists.txt
index f3a583543..b82bae0c1 100644
--- a/ggml/src/ggml-hexagon/CMakeLists.txt
+++ b/ggml/src/ggml-hexagon/CMakeLists.txt
@@ -22,7 +22,8 @@ message(STATUS "hexagon: using ${HEXAGON_SDK_ROOT} and ${HEXAGON_TOOLS_ROOT} for
 include(${HEXAGON_SDK_ROOT}/build/cmake/hexagon_fun.cmake)
 include(ExternalProject)
 
-option(GGML_HEXAGON_HTP_DEBUG "ggml-hexagon: enable HTP debug output" OFF)
+option(GGML_HEXAGON_HTP_DEBUG  "ggml-hexagon: enable HTP debug output" OFF)
+option(GGML_HEXAGON_FA_EXP2_HF "ggml-hexagon: use FP16 exp2 polynomial in FA softmax instead of F32 exp round-trip" OFF)
 set(GGML_HEXAGON_HTP_CERT  "$ENV{HEXAGON_HTP_CERT}" CACHE PATH "ggml-hexagon: enable HTP library signing using certificate")
 set(GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE 128 CACHE STRING "ggml-hexagon: quantize group size (32, 64, or 128)")
 
diff --git a/ggml/src/ggml-hexagon/ggml-hexagon.cpp b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
index f91bc4655..df4ed1014 100644
--- a/ggml/src/ggml-hexagon/ggml-hexagon.cpp
+++ b/ggml/src/ggml-hexagon/ggml-hexagon.cpp
@@ -7,10 +7,17 @@
 
 #include <atomic>
 #include <chrono>
-#include <cstddef>
 #include <mutex>
+#include <thread>
+#include <cstddef>
 #include <stdexcept>
 #include <string>
+#include <sstream>
+#include <iomanip>
+#include <unordered_set>
+#include <unordered_map>
+#include <regex>
+#include <queue>
 
 #ifdef _WIN32
 #    include <sal.h>
@@ -33,23 +40,36 @@
 #include "ggml-impl.h"
 #include "ggml-quants.h"
 #include "op-desc.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp_iface.h"
 #include "htp-drv.h"
 
-static size_t opt_ndev         = 1;
-static size_t opt_nhvx         = 0; // use all
-static int    opt_arch         = 0; // autodetect
-static int    opt_etm          = 0;
-static int    opt_verbose      = 0;
-static int    opt_profile      = 0;
-static int    opt_hostbuf      = 1; // hostbuf ON by default
-static int    opt_experimental = 0;
-static int    opt_use_hmx      = 1; // when set, enable HMX; when 0, use HVX only
+using intvec  = std::vector<int>;
+using uintvec = std::vector<unsigned int>;
+using u32vec  = std::vector<uint32_t>;
+
+static int    opt_arch    = 0; // autodetect
+static size_t opt_ndev    = 1;
+static size_t opt_nhvx    = 0; // use all
+static int    opt_use_hmx = 1; // when set, enable HMX; when 0, use HVX only
+static size_t opt_vmem    = HTP_OP_MAX_VMEM_DEFAULT;  // max available va space for buffer mappings
+static size_t opt_mbuf    = 1ul * 1024 * 1024 * 1024; // max buffer size
+static int    opt_etm     = 0;
+static int    opt_verbose = 0;
+static int    opt_profile = 0; // profiling mode (0-disabled, 1-basic, 2-pmu)
+static int    opt_hostbuf = 1; // hostbuf ON by default
+
+// Default PMU events, if profiling with PMU (mode=2) is enabled
+// See https://docs.qualcomm.com/doc/80-N2040-60/topic/pmu-events.html
+//     https://docs.qualcomm.com/doc/80-N2040-61/topic/hvx-pmu-events.html
+static u32vec opt_pmu_evt { 0x3, 0x111, 0x100, 0x105, 0x240, 0x256, 0x7D, 0x8C };
 
 // Enable all stages by default
-static int opt_opmask = HTP_OPMASK_QUEUE | HTP_OPMASK_QUANTIZE | HTP_OPMASK_COMPUTE;
-static int opt_opsync = 0;  // synchronous ops
+static int opt_opstage  = HTP_OPSTAGE_QUEUE | HTP_OPSTAGE_COMPUTE;
+static int opt_opbatch  = 1024; // max number of ops in a batch
+static int opt_opqueue  = 16;   // max number of pending batches
+
+static std::regex* opt_opfilter = NULL; // regex of ops to not claim
 
 #define HEX_VERBOSE(...) \
     if (opt_verbose) GGML_LOG_DEBUG(__VA_ARGS__)
@@ -86,42 +106,39 @@ static void ggml_hexagon_dump_op_exec(const std::string &sess_name, const ggml_t
 
     op_desc desc(op);
     GGML_LOG_DEBUG("ggml-hex: %s execute-op %s: %s : %s : %s : %s : %s : flags 0x%x\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, req_flags);
+                ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, req_flags);
 }
 
 static void ggml_hexagon_dump_op_supp(const std::string &sess_name, const struct ggml_tensor * op, bool supp) {
     if (!opt_verbose) return;
 
     op_desc desc(op);
-    GGML_LOG_DEBUG("ggml-hex: %s supports-op %s : %s : %s : %s : %s : %s : %s\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, supp ? "yes" : "no");
+    GGML_LOG_DEBUG("ggml-hex: %s supports-op %s: %s : %s : %s : %s : %s : %s\n", sess_name.c_str(),
+                ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs, supp ? "yes" : "no");
 }
 
 static void ggml_hexagon_dump_op_prof(const std::string &sess_name, const ggml_tensor * op,
-                                      uint32_t op_usec, uint32_t op_cycles, uint32_t op_pkts, uint64_t call_usec) {
+                                      uint32_t op_usec, uint32_t op_cycles, const uint32_t pmu[]) {
     if (!opt_profile) return;
 
+    char pmu_str[256] = "";
+    if (opt_profile > 1) {
+        static_assert(HTP_PROF_PMU_NCNT == 8, "current implementation assumes 8 PMU counters");
+        sprintf(pmu_str, " pmu [%u,%u,%u,%u,%u,%u,%u,%u]",
+                pmu[0], pmu[1], pmu[2], pmu[3], pmu[4], pmu[5], pmu[6], pmu[7]);
+    }
+
     op_desc desc(op);
-    GGML_LOG_DEBUG("ggml-hex: %s profile-op %s: %s : %s : %s : %s : %s : op-usec %u op-cycles %u op-pkts %u (%f) call-usec %llu\n", sess_name.c_str(),
-                ggml_op_name(op->op), desc.names, desc.dims, desc.types, desc.strides, desc.buffs,
-                op_usec, op_cycles, op_pkts, (float) op_cycles / op_pkts, (unsigned long long) call_usec);
+    GGML_LOG_DEBUG("ggml-hex: %s profile-op %s: %s : %s : %s : %s : usec %u cycles %u%s\n", sess_name.c_str(),
+            ggml_op_desc(op), desc.names, desc.dims, desc.types, desc.strides, op_usec, op_cycles, pmu_str);
 }
 
 // ** backend sessions
 
-struct ggml_hexagon_session {
-    ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false);
-    ~ggml_hexagon_session() noexcept(true);
-
-    void allocate(int dev_id) noexcept(false);
-    void release() noexcept(true);
-
-    void enqueue(struct htp_general_req &req, struct dspqueue_buffer *bufs, uint32_t n_bufs, bool sync = false);
-    void flush();
-
-    ggml_backend_buffer_type buffer_type        = {};
-    ggml_backend_buffer_type repack_buffer_type = {};
+struct ggml_hexagon_opbatch;
+struct ggml_hexagon_opqueue;
 
+struct ggml_hexagon_session {
     std::string      name;
     remote_handle64  handle;
     dspqueue_t       queue;
@@ -133,87 +150,28 @@ struct ggml_hexagon_session {
     bool             valid_handle;
     bool             valid_queue;
     bool             valid_iface;
-    std::atomic<int> op_pending;
-    uint32_t         prof_usecs;
-    uint32_t         prof_cycles;
-    uint32_t         prof_pkts;
-};
-
-void ggml_hexagon_session::enqueue(struct htp_general_req &req, struct dspqueue_buffer *bufs, uint32_t n_bufs, bool sync) {
-    // Bump pending flag (cleared in the session::flush once we get the response)
-    this->op_pending++;  // atomic inc
-
-    int err = dspqueue_write(this->queue,
-                             0,                       // flags - the framework will autoset this
-                             n_bufs,                  // number of buffers
-                             bufs,                    // buffer references
-                             sizeof(req),             // Message length
-                             (const uint8_t *) &req,  // Message
-                             DSPQUEUE_TIMEOUT         // Timeout
-    );
-
-    if (err != 0) {
-        GGML_ABORT("ggml-hex: %s dspqueue_write failed: 0x%08x\n", this->name.c_str(), (unsigned) err);
-    }
-
-    if (sync) {
-        flush();
-    }
-}
-
-// Flush HTP response queue i.e wait for all outstanding requests to complete
-void ggml_hexagon_session::flush() {
-    dspqueue_t q = this->queue;
-
-    // Repeatedly read packets from the queue until it's empty. We don't
-    // necessarily get a separate callback for each packet, and new packets
-    // may arrive while we're processing the previous one.
-
-    while (this->op_pending) {
-        struct htp_general_rsp rsp;
-        uint32_t               rsp_size;
-        uint32_t               flags;
 
-        struct dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        uint32_t               n_bufs;
-
-        // Read response packet from queue
-        int err = dspqueue_read(q, &flags,
-                                HTP_MAX_PACKET_BUFFERS,  // Maximum number of buffer references
-                                &n_bufs,                 // Number of buffer references
-                                bufs,                    // Buffer references
-                                sizeof(rsp),             // Max message length
-                                &rsp_size,               // Message length
-                                (uint8_t *) &rsp,        // Message
-                                DSPQUEUE_TIMEOUT);       // Timeout
+    std::atomic<int>      op_pending;
+    ggml_hexagon_opbatch* op_batch;
+    ggml_hexagon_opqueue* op_queue;
 
-        if (err == AEE_EEXPIRED) {
-            // TODO: might need to bail out if the HTP is stuck on something
-            continue;
-        }
+    ggml_backend_buffer_type buffer_type        = {};
+    ggml_backend_buffer_type repack_buffer_type = {};
 
-        if (err != 0) {
-            GGML_ABORT("ggml-hex: dspqueue_read failed: 0x%08x\n", (unsigned) err);
-        }
+    ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false);
+    ~ggml_hexagon_session() noexcept(true);
 
-        // Basic sanity checks
-        if (rsp_size != sizeof(rsp)) {
-            GGML_ABORT("ggml-hex: dspcall : bad response (size)\n");
-        }
+    const char* c_name() const { return name.c_str(); }
 
-        if (rsp.status != HTP_STATUS_OK) {
-            GGML_LOG_ERROR("ggml-hex: dspcall : dsp-rsp: %s\n", status_to_str(rsp.status));
-            // TODO: handle errors
-        }
+    void allocate(int dev_id) noexcept(false);
+    void release() noexcept(true);
 
-        // TODO: update profiling implementation, currently only works for opt_opsync mode
-        this->prof_usecs  = rsp.prof_usecs;
-        this->prof_cycles = rsp.prof_cycles;
-        this->prof_pkts   = rsp.prof_pkts;
+    void enqueue_op(htp_op_code opcode, const ggml_tensor *op);
+    void flush(bool all = true);
 
-        this->op_pending--;  // atomic dec
-    }
-}
+    void flush_pending(bool all = false);
+    void flush_batch();
+};
 
 // ** backend buffers
 
@@ -227,82 +185,94 @@ struct ggml_backend_hexagon_buffer_type_context {
     std::string            name;
 };
 
-struct ggml_backend_hexagon_buffer_context {
-    bool mmap_to(ggml_hexagon_session * s) {
-        HEX_VERBOSE("ggml-hex: %s mmaping buffer: base %p domain-id %d session-id %d size %zu fd %d repack %d\n",
-                    s->name.c_str(), (void *) this->base, s->domain_id, s->session_id, this->size, this->fd,
-                    (int) this->repack);
+struct ggml_hexagon_shared_buffer {
+    ggml_hexagon_session * sess;
+    uint8_t *              base;
+    size_t                 size;
+    int                    fd;
+    bool                   mapped;
+    bool                   pinned;
+
+    void mmap() {
+        fastrpc_map_flags flags = this->pinned ? FASTRPC_MAP_FD : FASTRPC_MAP_FD_DELAYED;
 
-        int err = fastrpc_mmap(s->domain_id, this->fd, (void *) this->base, 0, this->size, FASTRPC_MAP_FD);
+        int err = fastrpc_mmap(sess->domain_id, this->fd, (void *) this->base, 0, this->size, flags);
         if (err != 0) {
-            GGML_LOG_ERROR("ggml-hex: buffer mapping failed : domain_id %d size %zu fd %d error 0x%08x\n",
-                    s->domain_id, this->size, this->fd, (unsigned) err);
-            return false;
+            GGML_LOG_ERROR("ggml-hex: %s buffer mapping failed : domain_id %d size %zu fd %d error 0x%08x\n", sess->c_name(),
+                    sess->domain_id, this->size, this->fd, (unsigned) err);
+            throw std::runtime_error("ggml-hex: fastrpc_mmap failed (see log for details)");
         }
 
-        return true;
-    }
+        HEX_VERBOSE("ggml-hex: %s mapped buffer: base %p size %zu fd %d pinned %u\n",
+                sess->c_name(), (void *) this->base, this->size, this->fd, pinned);
 
-    bool mmap() {
-        if (this->mapped) {
-            return true;
-        }
-        if (!mmap_to(this->sess)) {
-            return false;
-        }
         this->mapped = true;
-        return true;
     }
 
-    void munmap() {
-        if (!this->mapped) {
-            return;
+    void unmap() {
+        if (!this->mapped) return;
+
+        if (!this->pinned) {
+            // HTP might still hold a reference, tell it drop it
+            htp_iface_munmap(sess->handle, this->fd);
         }
 
-        fastrpc_munmap(this->sess->domain_id, this->fd, this->base, this->size);
+        fastrpc_munmap(sess->domain_id, this->fd, (void *) this->base, this->size);
+
+        HEX_VERBOSE("ggml-hex: %s unmapped buffer: base %p size %zu fd %d\n", sess->c_name(),
+                (void *) this->base, size, this->fd);
+
         this->mapped = false;
+        this->fd     = -1;
     }
 
-    ggml_backend_hexagon_buffer_context(ggml_hexagon_session * sess, size_t size, bool repack) {
-        size += 4 * 1024;  // extra page for padding
+    void alloc(size_t size) {
+        if (this->base) return;
 
-        this->base = (uint8_t *) rpcmem_alloc2(RPCMEM_HEAP_ID_SYSTEM, RPCMEM_DEFAULT_FLAGS | RPCMEM_HEAP_NOREG, size);
+        this->base = (uint8_t *) rpcmem_alloc2(RPCMEM_HEAP_ID_SYSTEM, RPCMEM_DEFAULT_FLAGS, size);
         if (!this->base) {
-            GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer : size %zu\n", sess->name.c_str(), size);
+            GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer : size %zu\n", sess->c_name(), size);
             throw std::runtime_error("ggml-hex: rpcmem_alloc failed (see log for details)");
         }
 
         this->fd = rpcmem_to_fd(this->base);
         if (this->fd < 0) {
-            GGML_LOG_ERROR("ggml-hex: %s failed to get FD for buffer %p\n", sess->name.c_str(), (void *) this->base);
-            rpcmem_free(this->base);
-            this->base = NULL;
+            GGML_LOG_ERROR("ggml-hex: %s failed to get FD for buffer %p\n", sess->c_name(), (void *) this->base);
             throw std::runtime_error("ggml-hex: rpcmem_to_fd failed (see log for details)");
         }
+        this->size = size;
 
-        HEX_VERBOSE("ggml-hex: %s allocated buffer: base %p size %zu fd %d repack %d\n", sess->name.c_str(),
-                    (void *) this->base, size, this->fd, (int) repack);
+        HEX_VERBOSE("ggml-hex: %s allocated buffer: base %p size %zu fd %d pinned %d\n", sess->c_name(),
+                    (void *) this->base, this->size, this->fd, (int) pinned);
+        mmap();
+    }
+
+    void free() {
+        if (!this->base) return;
+
+        unmap();
+        rpcmem_free(this->base);
+
+        HEX_VERBOSE("ggml-hex: %s freed buffer: base %p size %zu fd %d\n", sess->c_name(),
+                (void *) this->base, size, this->fd);
 
+        this->base = NULL;
+    }
+
+    ggml_hexagon_shared_buffer(ggml_hexagon_session * sess, size_t size, bool pinned = false) {
         this->sess   = sess;
-        this->size   = size;
+        this->size   = 0;
+        this->base   = nullptr;
+        this->fd     = -1;
         this->mapped = false;
-        this->repack = repack;
-    }
+        this->pinned = pinned;
 
-    ~ggml_backend_hexagon_buffer_context() {
-        munmap();
-        if (this->base) {
-            rpcmem_free(this->base);
-            this->base = NULL;
-        }
+        alloc(size);
     }
 
-    ggml_hexagon_session * sess;  // primary session
-    uint8_t *              base;
-    size_t                 size;
-    int                    fd;
-    bool                   mapped;  // mmap is done
-    bool                   repack;  // repacked buffer
+    ~ggml_hexagon_shared_buffer() {
+        free();
+    }
 };
 
 static ggml_hexagon_session * ggml_backend_hexagon_buffer_get_sess(ggml_backend_buffer_t buffer) {
@@ -310,30 +280,26 @@ static ggml_hexagon_session * ggml_backend_hexagon_buffer_get_sess(ggml_backend_
 }
 
 static void ggml_backend_hexagon_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    auto ctx = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    delete ctx;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    delete sbuf;
 }
 
 static void * ggml_backend_hexagon_buffer_get_base(ggml_backend_buffer_t buffer) {
-    auto ctx = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    return ctx->base;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    return sbuf->base;
 }
 
 static enum ggml_status ggml_backend_hexagon_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
-    auto ctx  = static_cast<ggml_backend_hexagon_buffer_context *>(buffer->context);
-    auto sess = ctx->sess;
+    auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(buffer->context);
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s init-tensor %s : base %p data %p nbytes %zu usage %d repack %d\n", sess->name.c_str(),
-                tensor->name, (void *) ctx->base, tensor->data, ggml_nbytes(tensor), (int) buffer->usage,
-                (int) ctx->repack);
+    HEX_VERBOSE("ggml-hex: %s init-tensor %s : base %p data %p nbytes %zu usage %d\n", sess->c_name(),
+                tensor->name, (void *) sbuf->base, tensor->data, ggml_nbytes(tensor), (int) buffer->usage);
 
     if (tensor->view_src != NULL && tensor->view_offs == 0) {
-        ; // nothing to do for the view
-    } else {
-        if (!ctx->mapped) {
-            ctx->mmap();
-        }
+        return GGML_STATUS_SUCCESS; // nothing to do for the view
     }
+
     return GGML_STATUS_SUCCESS;
 }
 
@@ -1387,11 +1353,10 @@ static void ggml_backend_hexagon_buffer_set_tensor(ggml_backend_buffer_t buffer,
                                                    const void *          data,
                                                    size_t                offset,
                                                    size_t                size) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s set-tensor %s : data %p offset %zu size %zu\n", sess->name.c_str(), tensor->name, data,
-                offset, size);
+    HEX_VERBOSE("ggml-hex: %s set-tensor %s : data %p offset %zu size %zu\n", sess->c_name(), tensor->name, data, offset, size);
 
     switch (tensor->type) {
         case GGML_TYPE_Q4_0:
@@ -1430,11 +1395,10 @@ static void ggml_backend_hexagon_buffer_get_tensor(ggml_backend_buffer_t buffer,
                                                    void *                data,
                                                    size_t                offset,
                                                    size_t                size) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
 
-    HEX_VERBOSE("ggml-hex: %s get-tensor %s : data %p offset %zu size %zu\n", sess->name.c_str(), tensor->name, data,
-                offset, size);
+    HEX_VERBOSE("ggml-hex: %s get-tensor %s : data %p offset %zu size %zu\n", sess->c_name(), tensor->name, data, offset, size);
 
     switch (tensor->type) {
         case GGML_TYPE_Q4_0:
@@ -1478,10 +1442,10 @@ static bool ggml_backend_hexagon_buffer_cpy_tensor(ggml_backend_buffer_t      bu
 }
 
 static void ggml_backend_hexagon_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
-    auto ctx  = (ggml_backend_hexagon_buffer_context *) buffer->context;
-    auto sess = ctx->sess;
-    HEX_VERBOSE("ggml-hex: %s clear-buff base %p size %zu\n", sess->name.c_str(), (void *) ctx->base, ctx->size);
-    memset(ctx->base, value, ctx->size);
+    auto sbuf = (ggml_hexagon_shared_buffer *) buffer->context;
+    auto sess = sbuf->sess;
+    HEX_VERBOSE("ggml-hex: %s clear-buff base %p size %zu\n", sess->c_name(), (void *) sbuf->base, sbuf->size);
+    memset(sbuf->base, value, sbuf->size);
 }
 
 static ggml_backend_buffer_i ggml_backend_hexagon_buffer_interface = {
@@ -1491,6 +1455,8 @@ static ggml_backend_buffer_i ggml_backend_hexagon_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_hexagon_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_hexagon_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_hexagon_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_hexagon_buffer_clear,
     /* .reset           = */ NULL,
@@ -1506,10 +1472,11 @@ static ggml_backend_buffer_t ggml_backend_hexagon_buffer_type_alloc_buffer(
             ggml_backend_buffer_type_t buffer_type, size_t size) {
     auto sess = static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type->context)->sess;
     try {
-        ggml_backend_hexagon_buffer_context * ctx = new ggml_backend_hexagon_buffer_context(sess, size, false /*repack*/);
-        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, ctx, size);
+        size += 4 * 1024;  // guard page
+        ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size);
+        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size);
     } catch (const std::exception & exc) {
-        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context: %s\n", sess->name.c_str(), exc.what());
+        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context (host): %s\n", sess->c_name(), exc.what());
         return nullptr;
     }
 }
@@ -1518,10 +1485,11 @@ static ggml_backend_buffer_t ggml_backend_hexagon_repack_buffer_type_alloc_buffe
             ggml_backend_buffer_type_t buffer_type, size_t size) {
     auto sess = static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type->context)->sess;
     try {
-        ggml_backend_hexagon_buffer_context * ctx = new ggml_backend_hexagon_buffer_context(sess, size, true /*repack*/);
-        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, ctx, size);
+        size += 4 * 1024;  // guard page
+        ggml_hexagon_shared_buffer * sbuf = new ggml_hexagon_shared_buffer(sess, size);
+        return ggml_backend_buffer_init(buffer_type, ggml_backend_hexagon_buffer_interface, sbuf, size);
     } catch (const std::exception & exc) {
-        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context: %s\n", sess->name.c_str(), exc.what());
+        GGML_LOG_ERROR("ggml-hex: %s failed to allocate buffer context (repack): %s\n", sess->c_name(), exc.what());
         return nullptr;
     }
 }
@@ -1536,7 +1504,7 @@ static size_t ggml_backend_hexagon_buffer_type_get_alloc_size(ggml_backend_buffe
 }
 
 static size_t ggml_backend_hexagon_buffer_type_get_max_size(ggml_backend_buffer_type_t buffer_type) {
-    return 1 * 1024 * 1024 * 1024;  // 1GB per buffer
+    return opt_mbuf; // typically 1GB per buffer
     GGML_UNUSED(buffer_type);
 }
 
@@ -1568,211 +1536,684 @@ static ggml_backend_buffer_type_i ggml_backend_hexagon_repack_buffer_type_interf
     /* .is_host          = */ ggml_backend_hexagon_repack_buffer_type_is_host,
 };
 
-void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
-    this->valid_session = false;
-    this->valid_handle  = false;
-    this->valid_queue   = false;
-    this->valid_iface   = false;
+// Backend session implementation
 
-    this->domain_id  = 3;  // Default for CDSP, updated after the session is created
-    this->session_id = 0;  // Default for CDSP, updated after the session is created
-    this->dev_id     = dev_id;
-    this->name       = std::string("HTP") + std::to_string(dev_id);
+struct ggml_hexagon_opbatch {
+    ggml_hexagon_session*            sess;
 
-    this->op_pending  = 0;
-    this->prof_usecs  = 0;
-    this->prof_cycles = 0;
-    this->prof_pkts   = 0;
+    std::vector<const ggml_tensor*>  ops;       // pointers to original ops
 
-    GGML_LOG_INFO("ggml-hex: allocating new session: %s\n", this->name.c_str());
+    std::vector<htp_buf_desc>        h_bufs;    // htp buffer descriptors
+    std::vector<htp_tensor>          h_tens;    // htp tensor descriptors
+    std::vector<htp_op_desc>         h_ops;     // htp op descriptors
 
-    domain * my_domain = get_domain(this->domain_id);
-    if (my_domain == NULL) {
-        GGML_LOG_ERROR("ggml-hex: unable to get domain struct for CDSP\n");
-        throw std::runtime_error("ggml-hex: failed to get CDSP domain (see log for details)");
-    }
+    std::unordered_map<int, int>                b_map; // buffer fd   to index
+    std::unordered_map<const ggml_tensor*, int> t_map; // tensor ptr  to index
+    std::unordered_multimap<void*, int>         d_map; // tensor data to index
 
-    // Create new session
-    if (dev_id != 0) {
-        struct remote_rpc_reserve_new_session n;
-        n.domain_name_len  = strlen(CDSP_DOMAIN_NAME);
-        n.domain_name      = const_cast<char *>(CDSP_DOMAIN_NAME);
-        n.session_name     = const_cast<char *>(this->name.c_str());
-        n.session_name_len = this->name.size();
+    unsigned int n_bufs;     // num buffers in the batch
+    unsigned int n_tens;     // num tensors ...
+    unsigned int n_ops;      // num ops ...
+    size_t       b_vmem;     // sum of all buffer sizes
 
-        int err = remote_session_control(FASTRPC_RESERVE_NEW_SESSION, (void *) &n, sizeof(n));
-        if (err != AEE_SUCCESS) {
-            GGML_LOG_ERROR("ggml-hex: failed to reserve new session %d : error 0x%x\n", dev_id, err);
-            throw std::runtime_error("ggml-hex: remote_session_control(new-sess) failed (see log for details)");
-        }
+    unsigned int n_bufs_max;
+    unsigned int n_tens_max;
+    unsigned int n_ops_max;
+    size_t       b_vmem_max;
 
-        // Save the IDs
-        this->session_id    = n.session_id;
-        this->domain_id     = n.effective_domain_id;
-        this->valid_session = true;
+    void reset() {
+        n_bufs = 0;
+        n_tens = 0;
+        n_ops  = 0;
+        b_vmem = 0;
+
+        b_map.clear();
+        t_map.clear();
+        d_map.clear();
     }
 
-    // Get session URI
+    ggml_hexagon_opbatch(ggml_hexagon_session *sess, size_t batch_size, size_t max_vmem) {
+        this->sess = sess;
 
-    char session_uri[256];
-    {
-        char htp_uri[256];
-        snprintf(htp_uri, sizeof(htp_uri), "file:///libggml-htp-v%u.so?htp_iface_skel_handle_invoke&_modver=1.0", opt_arch);
+        n_bufs_max = HTP_OP_MAX_BUFS;
+        n_ops_max  = batch_size;
+        n_tens_max = n_ops_max + n_ops_max * HTP_OP_MAX_INPUTS;
 
-        struct remote_rpc_get_uri u = {};
-        u.session_id      = this->session_id;
-        u.domain_name     = const_cast<char *>(CDSP_DOMAIN_NAME);
-        u.domain_name_len = strlen(CDSP_DOMAIN_NAME);
-        u.module_uri      = const_cast<char *>(htp_uri);
-        u.module_uri_len  = strlen(htp_uri);
-        u.uri             = session_uri;
-        u.uri_len         = sizeof(session_uri);
+        b_vmem_max = max_vmem;
 
-        int err = remote_session_control(FASTRPC_GET_URI, (void *) &u, sizeof(u));
-        if (err != AEE_SUCCESS) {
-            // fallback to single session uris
-            int htp_URI_domain_len = strlen(htp_uri) + MAX_DOMAIN_NAMELEN;
+        ops.resize(n_ops_max);
 
-            snprintf(session_uri, htp_URI_domain_len, "%s%s", htp_uri, my_domain->uri);
+        h_bufs.resize(n_bufs_max);
+        h_tens.resize(n_tens_max);
+        h_ops.resize(n_ops_max);
 
-            GGML_LOG_WARN("ggml-hex: failed to get URI for session %d : error 0x%x. Falling back to single session URI: %s\n", dev_id, err, session_uri);
-        }
-    }
+        b_map.reserve(n_bufs_max);
+        t_map.reserve(n_tens_max);
+        d_map.reserve(n_tens_max);
 
-    // Enable Unsigned PD
-    {
-        struct remote_rpc_control_unsigned_module u;
-        u.domain = this->domain_id;
-        u.enable = 1;
-        int err  = remote_session_control(DSPRPC_CONTROL_UNSIGNED_MODULE, (void *) &u, sizeof(u));
-        if (err != AEE_SUCCESS) {
-            GGML_LOG_ERROR("ggml-hex: failed to enable unsigned PD for session %d : error 0x%x\n", dev_id, err);
-            throw std::runtime_error("ggml-hex: remote_session_control(unsign) failed (see log for details)");
-        }
-    }
+        GGML_LOG_INFO("ggml-hex: %s op batching: n-bufs %u n-tensors %u n-ops %u vmem %zu\n",
+                sess->c_name(), n_bufs_max, n_tens_max, n_ops_max, b_vmem_max);
 
-    // Open session
-    int err = htp_iface_open(session_uri, &this->handle);
-    if (err != AEE_SUCCESS) {
-        GGML_LOG_ERROR("ggml-hex: failed to open session %d : error 0x%x\n", dev_id, err);
-        throw std::runtime_error("ggml-hex: failed to open session (see log for details)");
+        reset();
     }
 
-    this->valid_handle = true;
+    bool empty() const { return n_ops == 0; }
 
-    GGML_LOG_INFO("ggml-hex: new session: %s : session-id %d domain-id %d uri %s handle 0x%lx\n", this->name.c_str(),
-                  this->session_id, this->domain_id, session_uri, (unsigned long) this->handle);
+    // add buffer and return its index
+    int add_buffer(ggml_hexagon_shared_buffer * sbuf) {
+        // Lookup by fd
+        auto it = b_map.find(sbuf->fd);
+        if (it != b_map.end()) { return it->second; }
 
-    // Enable FastRPC QoS mode
-    {
-        struct remote_rpc_control_latency l;
-        l.enable = 1;
+        // Add new buffer to the batch
+        int bi = n_bufs++;
+        GGML_ASSERT(n_bufs < HTP_OP_MAX_BUFS);
 
-        int err = remote_handle64_control(this->handle, DSPRPC_CONTROL_LATENCY, (void *) &l, sizeof(l));
-        if (err != 0) {
-            GGML_LOG_WARN("ggml-hex: failed to enable fastrpc QOS mode: 0x%08x\n", (unsigned) err);
-        }
+        b_map.insert({sbuf->fd, bi});
+
+        htp_buf_desc &b = h_bufs[bi];
+        b.base = (uint64_t) sbuf->base;
+        b.fd   = sbuf->fd;
+        b.size = sbuf->size;
+
+        b_vmem += b.size;
+
+        HEX_VERBOSE("ggml-hex: add-buffer #%u : fd %d base %p size %zu : vmem %zu\n", bi, b.fd, (void*) sbuf->base, (size_t) b.size, b_vmem);
+
+        return bi;
     }
 
-    // Now let's setup the DSP queue
-    err = dspqueue_create(this->domain_id,
-                          0,              // Flags
-                          128 * 1024,     // Request  queue size (in bytes)
-                          64 * 1024,      // Response queue size (in bytes)
-                          nullptr,        // Read packet callback (we handle reads explicitly)
-                          nullptr,        // Error callback (we handle errors during reads)
-                          (void *) this,  // Callback context
-                          &queue);
-    if (err != 0) {
-        GGML_LOG_ERROR("ggml-hex: %s dspqueue_create failed: 0x%08x\n", this->name.c_str(), (unsigned) err);
-        throw std::runtime_error("ggml-hex: failed to create dspqueue (see log for details)");
+    bool same_shape(const htp_tensor * h, const ggml_tensor * t) const {
+        return (h->ne[0] == t->ne[0]) && (h->ne[1] == t->ne[1]) && (h->ne[2] == t->ne[2]) && (h->ne[3] == t->ne[3]) &&
+               (h->nb[0] == t->nb[0]) && (h->nb[1] == t->nb[1]) && (h->nb[2] == t->nb[2]) && (h->nb[3] == t->nb[3]);
     }
 
-    this->valid_queue = true;
+    // add tensor and return its index
+    int add_tensor(const ggml_tensor * t) {
+        auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(t->buffer->context);
 
-    // Export queue for use on the DSP
-    err = dspqueue_export(queue, &this->queue_id);
-    if (err != 0) {
-        GGML_LOG_ERROR("ggml-hex: dspqueue_export failed: 0x%08x\n", (unsigned) err);
-        throw std::runtime_error("ggml-hex: dspqueue export failed (see log for details)");
-    }
+        // First lookup by tensor data
+        auto range = d_map.equal_range(t->data);
+        for (auto it = range.first; it != range.second; ++it) {
+            htp_tensor * h = &h_tens[it->second];
+            if (same_shape(h, t)) { return it->second; }
+        }
 
-    if (opt_etm) {
-        err = htp_iface_enable_etm(this->handle);
-        if (err != 0) {
-            GGML_LOG_ERROR("ggml-hex: failed to enable ETM tracing: 0x%08x\n", (unsigned) err);
+        // Lookup by tensor ptr
+        auto it = t_map.find(t);
+        if (it != t_map.end()) { return it->second; }
+
+        // Add new tensor to the batch
+        int ti = n_tens++;
+        GGML_ASSERT(n_tens <= n_tens_max);
+
+        t_map.insert({t,       ti});
+        d_map.insert({t->data, ti});
+
+        uint64_t t_offset = (uint8_t *) t->data - sbuf->base;
+        size_t   t_size   = ggml_nbytes(t);
+
+        htp_tensor &h = h_tens[ti];
+        h.bi    = add_buffer(sbuf);
+        h.data  = t_offset;
+        h.size  = t_size;
+        h.type  = t->type;
+        h.ne[0] = t->ne[0]; h.ne[1] = t->ne[1]; h.ne[2] = t->ne[2]; h.ne[3] = t->ne[3];
+        h.nb[0] = t->nb[0]; h.nb[1] = t->nb[1]; h.nb[2] = t->nb[2]; h.nb[3] = t->nb[3];
+
+        h.flags = 0;
+        if (ggml_backend_buffer_get_usage(t->buffer) == GGML_BACKEND_BUFFER_USAGE_COMPUTE) {
+            h.flags |= HTP_TENSOR_COMPUTE;
         }
-    }
 
-    // Start the DSP-side service. We need to pass the queue ID to the
-    // DSP in a FastRPC call; the DSP side will import the queue and start
-    // listening for packets in a callback.
-    err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx);
-    if (err != 0) {
-        GGML_LOG_ERROR("ggml-hex: failed to start session: 0x%08x\n", (unsigned) err);
-        throw std::runtime_error("ggml-hex: iface start failed (see log for details)");
+        HEX_VERBOSE("ggml-hex: add-tensor #%u %s : bi %d data %p offset %zu size %zu flags 0x%x : %zu:%zu:%zu:%zu\n",
+                ti, t->name, h.bi, (void*) t->data, (size_t) t_offset, t_size, h.flags,
+                (size_t) t->ne[0], (size_t) t->ne[1], (size_t) t->ne[2], (size_t) t->ne[3]);
+
+        return ti;
     }
-    this->valid_iface = true;
-}
 
-void ggml_hexagon_session::release() noexcept(true) {
-    GGML_LOG_INFO("ggml-hex: releasing session: %s\n", this->name.c_str());
+    bool fit_op(const struct ggml_tensor *t) const {
+        if (n_ops >= n_ops_max ) return false;
 
-    int err;
+        // check how much extras we will need
+        size_t extra_bufs = 0;
+        size_t extra_vmem = 0;
+        size_t extra_tens = 0;
 
-    // Stop the DSP-side service and close the queue
-    if (this->valid_iface) {
-        err = htp_iface_stop(this->handle);
-        if (err != 0) {
-            GGML_ABORT("ggml-hex: htp_iface_stop failed: 0x%08x\n", (unsigned) err);
+        auto fit_tensor = [&](const ggml_tensor *t) {
+            if (!t_map.count(t)) {
+                extra_tens++;
+
+                auto sbuf = static_cast<ggml_hexagon_shared_buffer *>(t->buffer->context);
+                if (!b_map.count(sbuf->fd)) {
+                    extra_vmem += sbuf->size;
+                    extra_bufs += 1;
+                }
+            }
+        };
+
+        for (unsigned int i=0; i < HTP_OP_MAX_INPUTS && t->src[i]; i++) {
+            fit_tensor(t->src[i]);
         }
+        fit_tensor(t);
+
+        if ((extra_bufs + n_bufs) > n_bufs_max) return false;
+        if ((extra_tens + n_tens) > n_tens_max) return false;
+        if ((extra_vmem + b_vmem) > b_vmem_max) return false;
+
+        return true;
     }
 
-    if (opt_etm) {
-        err = htp_iface_disable_etm(this->handle);
-        if (err != 0) {
-            GGML_LOG_ERROR("ggml-hex: warn : failed to disable ETM tracing: 0x%08x\n", (unsigned) err);
+    // assumes that fit_op() was called first and returned true
+    void add_op(htp_op_code opcode, const struct ggml_tensor * t) {
+        // Add new op
+
+        unsigned int n = n_ops++;
+        GGML_ASSERT(n_ops <= n_ops_max);
+
+        ops[n] = t;
+
+        htp_op_desc &o = h_ops[n];
+        memcpy(&o.params, &t->op_params, sizeof(t->op_params));
+        o.opcode = opcode;
+        o.flags  = 0;
+
+        if (!(opt_opstage & HTP_OPSTAGE_COMPUTE)) {
+            o.flags |= HTP_OPFLAGS_SKIP_COMPUTE;
         }
-    }
 
-    if (this->valid_queue) {
-        err = dspqueue_close(queue);
-        if (err != 0) {
-            GGML_ABORT("ggml-hex: dspqueue_close failed: 0x%08x\n", (unsigned) err);
+        ggml_hexagon_dump_op_exec(sess->c_name(), t, o.flags);
+
+        for (unsigned int i=0; i < HTP_OP_MAX_INPUTS; i++) {
+            o.src[i] = t->src[i] ? add_tensor(t->src[i]) : 0xffff;
         }
+        o.dst = add_tensor(t);
     }
+};
 
-    if (this->valid_handle) {
-        htp_iface_close(this->handle);
-    }
-}
+struct ggml_hexagon_opqueue {
+    // Shared buffer for storing batches
+    ggml_hexagon_shared_buffer *shm_buf;
+    size_t                      shm_blk_size;
 
-ggml_hexagon_session::ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false) {
-    buffer_type.device        = dev;
-    repack_buffer_type.device = dev;
+    using opvec = std::vector<const ggml_tensor*>;
 
-    try {
-        allocate(dev_id);
+    std::queue<unsigned int>    done;       // completed batch ids
+    std::vector<opvec>          op_cache;   // per batch op cache
+    std::vector<uint64_t>       start_usec; // per batch start time
 
-        buffer_type.iface   = ggml_backend_hexagon_buffer_type_interface;
-        buffer_type.context = new ggml_backend_hexagon_buffer_type_context(this->name, this);
+    ggml_hexagon_opqueue(ggml_hexagon_session *sess, size_t batch_size, size_t depth) {
+        size_t n_bufs    = HTP_OP_MAX_BUFS;
+        size_t n_ops     = batch_size;
+        size_t n_tensors = n_ops + n_ops * HTP_OP_MAX_INPUTS;
 
-        repack_buffer_type.iface   = ggml_backend_hexagon_repack_buffer_type_interface;
-        repack_buffer_type.context = new ggml_backend_hexagon_buffer_type_context(this->name + "-REPACK", this);
-    } catch (const std::exception & exc) {
-        release();
-        throw;
-    }
-}
+        shm_blk_size = sizeof(htp_buf_desc)  * n_bufs    +
+                       sizeof(htp_tensor)    * n_tensors +
+                       sizeof(htp_op_desc)   * n_ops     +
+                       sizeof(htp_prof_desc) * n_ops;
 
-ggml_hexagon_session::~ggml_hexagon_session() noexcept(true) {
-    release();
+        shm_buf = new ggml_hexagon_shared_buffer(sess, shm_blk_size * depth, true /* pinned */);
 
-    delete static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type.context);
-    delete static_cast<ggml_backend_hexagon_buffer_type_context *>(repack_buffer_type.context);
-}
+        op_cache.resize(depth);
+        start_usec.resize(depth, 0);
 
-// ** backend interface
+        // init done queue
+        for (unsigned int i = 0; i < depth; i++) { done.push(i); }
+
+        if (opt_verbose) {
+            GGML_LOG_INFO("ggml-hex: %s allocated op-queue : batch-size %zu depth %zu shm-size %zu shm-block-size %zu\n",
+                    sess->c_name(), batch_size, depth, shm_buf->size, shm_blk_size);
+        }
+    }
+
+    ~ggml_hexagon_opqueue() {
+        delete shm_buf;
+    }
+
+    // push new batch
+    bool push(htp_opbatch_req& req, dspqueue_buffer& dbuf, ggml_hexagon_opbatch* op_batch) {
+        static_assert(sizeof(htp_opbatch_req) % 8 == 0, "sizeof(htp_opbatch_req) must be multiple of 8");
+        static_assert(sizeof(htp_opbatch_rsp) % 8 == 0, "sizeof(htp_opbatch_rsp) must be multiple of 8");
+        static_assert(sizeof(htp_buf_desc)    % 8 == 0, "sizeof(htp_buf_desc) must be multiple of 8");
+        static_assert(sizeof(htp_tensor)      % 8 == 0, "sizeof(htp_tensor) must be multiple of 8");
+        static_assert(sizeof(htp_op_desc)     % 8 == 0, "sizeof(htp_op_desc) must be multiple of 8");
+        static_assert(sizeof(htp_prof_desc)   % 8 == 0, "sizeof(htp_prof_desc) must be multiple of 8");
+
+        if (done.empty()) { return false; }
+
+        req.id        = done.front(); done.pop(); // batch id
+        req.n_bufs    = op_batch->n_bufs;
+        req.n_tensors = op_batch->n_tens;
+        req.n_ops     = op_batch->n_ops;
+
+        op_cache[req.id]   = op_batch->ops;
+        start_usec[req.id] = ggml_time_us();
+
+        const size_t b_size = sizeof(htp_buf_desc)  * req.n_bufs;
+        const size_t t_size = sizeof(htp_tensor)    * req.n_tensors;
+        const size_t o_size = sizeof(htp_op_desc)   * req.n_ops;
+        const size_t p_size = sizeof(htp_prof_desc) * req.n_ops;
+
+        dbuf.ptr      = shm_buf->base + (req.id * shm_blk_size);
+        dbuf.fd       = shm_buf->fd;
+        dbuf.flags    = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
+        dbuf.offset   = (uint8_t*) dbuf.ptr - (uint8_t*) shm_buf->base;
+        dbuf.size     = b_size + t_size + o_size + p_size;
+
+        GGML_ASSERT(dbuf.size <= shm_blk_size);
+
+        uint8_t * m_ptr = (uint8_t*) dbuf.ptr;
+        uint8_t * b_ptr = m_ptr; m_ptr += b_size;
+        uint8_t * t_ptr = m_ptr; m_ptr += t_size;
+        uint8_t * o_ptr = m_ptr;
+
+        memcpy(b_ptr, (void *) op_batch->h_bufs.data(), b_size);
+        memcpy(t_ptr, (void *) op_batch->h_tens.data(), t_size);
+        memcpy(o_ptr, (void *) op_batch->h_ops.data(),  o_size);
+
+        HEX_VERBOSE("ggml-hex: %s op-queue push batch #%u : n-bufs %u n-tensors %u n-ops %u vmem %zu : b-size %zu t-size %zu o-size %zu m-size %zu\n",
+                shm_buf->sess->c_name(), req.id, req.n_bufs, req.n_tensors, req.n_ops, op_batch->b_vmem,
+                b_size, t_size, o_size, (size_t) dbuf.size);
+
+        op_batch->reset();
+
+        if (opt_verbose > 1) {
+            htp_buf_desc *b = (htp_buf_desc*) b_ptr;
+            for (unsigned int i=0; i < req.n_bufs; i++) {
+                GGML_LOG_DEBUG("ggml-hex: %s htp-buf #%u : fd %d base %p size %zu\n", shm_buf->sess->c_name(), i,
+                            b[i].fd, (void *) b[i].base, (size_t) b[i].size);
+            }
+            htp_tensor *t = (htp_tensor*) t_ptr;
+            for (unsigned int i=0; i < req.n_tensors; i++) {
+                GGML_LOG_DEBUG("ggml-hex: %s htp-tensor #%u : bi %u offset %u size %u : %zu:%zu:%zu:%zu\n",
+                            shm_buf->sess->c_name(), i, t[i].bi, t[i].data, t[i].size,
+                            (size_t) t[i].ne[0], (size_t) t[i].ne[1], (size_t) t[i].ne[2], (size_t) t[i].ne[3]);
+            }
+        }
+
+        return true;
+    }
+
+    void pop(htp_opbatch_rsp rsp, dspqueue_buffer dbuf) {
+        GGML_ASSERT(rsp.id < op_cache.size());
+
+        done.push(rsp.id);
+
+        const size_t b_size = sizeof(htp_buf_desc)  * rsp.n_bufs;
+        const size_t t_size = sizeof(htp_tensor)    * rsp.n_tensors;
+        const size_t o_size = sizeof(htp_op_desc)   * rsp.n_ops;
+        const size_t p_size = sizeof(htp_prof_desc) * rsp.n_ops;
+
+        const size_t m_size = b_size + t_size + o_size + p_size;
+        GGML_ASSERT(m_size <= shm_blk_size);
+
+        HEX_VERBOSE("ggml-hex: %s op-queue pop batch #%u : n-bufs %u n-tensors %u n-ops %u : m-size %zu b-size %zu t-size %zu o-size %zu\n",
+                shm_buf->sess->c_name(), rsp.id, rsp.n_bufs, rsp.n_tensors, rsp.n_ops,
+                (size_t) dbuf.size, b_size, t_size, o_size);
+
+        uint8_t * m_ptr = (uint8_t*) dbuf.ptr;
+        uint8_t * p_ptr = m_ptr + (b_size + t_size + o_size);
+
+        if (opt_profile && rsp.n_ops > 0) {
+            auto & ops = op_cache[rsp.id];
+
+            uint64_t batch_usec = ggml_time_us() - start_usec[rsp.id];
+            uint32_t htp_usec   = 0;
+
+            GGML_ASSERT(rsp.n_ops <= ops.size());
+
+            const htp_prof_desc * pd = (const htp_prof_desc *) p_ptr;
+            for (uint32_t i = 0; i < rsp.n_ops; i++) {
+                htp_usec += pd[i].usecs;
+                ggml_hexagon_dump_op_prof(shm_buf->sess->name, ops[i], pd[i].usecs, pd[i].cycles, pd[i].pmu);
+            }
+
+            GGML_LOG_DEBUG("ggml-hex: %s profile-batch n-ops %u batch-dur-usec %lld htp-ops-usec %u\n",
+                           shm_buf->sess->c_name(), rsp.n_ops, (long long) batch_usec, htp_usec);
+        }
+    }
+};
+
+// Flush HTP response queue i.e wait for all outstanding requests to complete
+void ggml_hexagon_session::flush_pending(bool all) {
+    while (this->op_pending) {
+        struct htp_opbatch_rsp rsp;
+        uint32_t               rsp_size;
+        uint32_t               flags;
+
+        struct dspqueue_buffer dbuf;
+        uint32_t               n_dbufs;
+
+        // Read response packet from queue
+        int err = dspqueue_read(this->queue, &flags, 1, &n_dbufs, &dbuf, sizeof(rsp), &rsp_size, (uint8_t *) &rsp, DSPQUEUE_TIMEOUT);
+        if (err == AEE_EEXPIRED) {
+            continue;
+        }
+
+        if (err != 0) {
+            GGML_ABORT("ggml-hex: dspqueue_read failed: 0x%08x\n", (unsigned) err);
+        }
+
+        // Basic sanity checks
+        if (rsp_size != sizeof(rsp) || n_dbufs != 1) {
+            GGML_ABORT("ggml-hex: %s dspcall : bad response : size %u dspbufs %u\n", this->c_name(), rsp_size, n_dbufs);
+        }
+
+        if (rsp.status != HTP_STATUS_OK) {
+            GGML_LOG_ERROR("ggml-hex: %s dspcall : dsp-rsp: %s\n", this->c_name(), status_to_str(rsp.status));
+            // TODO: handle errors
+        }
+
+        op_queue->pop(rsp, dbuf);
+
+        this->op_pending--;  // atomic dec
+
+        if (!all) break;
+    }
+}
+
+void ggml_hexagon_session::flush_batch() {
+    if (op_batch->empty()) { return; }
+
+    htp_opbatch_req req {};
+    dspqueue_buffer dbuf{};
+
+    if (!op_queue->push(req, dbuf, op_batch)) {
+        flush_pending(false);
+        op_queue->push(req, dbuf, op_batch);
+    }
+
+    // Bump pending flag (cleared in the session::flush once we get the response)
+    this->op_pending++;  // atomic inc
+
+    HEX_VERBOSE("ggml-hex: %s queue-opbatch: %p size %u\n", this->c_name(), dbuf.ptr, dbuf.size);
+
+    int err = dspqueue_write(this->queue, 0, 1, &dbuf, sizeof(req), (const uint8_t*) &req, DSPQUEUE_TIMEOUT);
+    if (err != 0) {
+        GGML_ABORT("ggml-hex: %s dspqueue_write failed: 0x%08x\n", this->c_name(), (unsigned) err);
+    }
+}
+
+void ggml_hexagon_session::enqueue_op(htp_op_code opcode, const ggml_tensor *op) {
+    if (!op_batch->fit_op(op)) {
+        flush_batch();
+    }
+    op_batch->add_op(opcode, op);
+}
+
+// Flush HTP response queue i.e wait for all outstanding requests to complete
+void ggml_hexagon_session::flush(bool all) {
+    flush_batch();
+    flush_pending(all);
+}
+
+static size_t ggml_hexagon_measure_max_vmem(ggml_hexagon_session *sess) {
+    // Allocate a bunch pinned buffers till failure.
+    // This is kind of expensive but handy for figuring out exactly how much we can mmap on a specific device.
+    // Typically we're going to allocate all/most of these buffers anyway for the model weights.
+
+    std::vector<ggml_hexagon_shared_buffer *> sbufs;
+
+    const size_t MiB = 1024 * 1024;
+    const size_t GiB = MiB  * 1024;
+
+    size_t vmem = 0;
+    size_t step = 256u * MiB;
+
+    try {
+        sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB;
+        sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB;
+        sbufs.push_back(new ggml_hexagon_shared_buffer(sess, GiB, true)); vmem += GiB;
+
+        while (1) {
+            sbufs.push_back(new ggml_hexagon_shared_buffer(sess, step, true));
+            vmem += step;
+        }
+    } catch (...) { }
+
+    for (auto b : sbufs) { delete b; }
+
+    return vmem - step; // backoff to account for overhead from internal mappings
+}
+
+void ggml_hexagon_session::allocate(int dev_id) noexcept(false) {
+    this->valid_session = false;
+    this->valid_handle  = false;
+    this->valid_queue   = false;
+    this->valid_iface   = false;
+
+    this->domain_id  = 3;  // Default for CDSP, updated after the session is created
+    this->session_id = 0;  // Default for CDSP, updated after the session is created
+    this->dev_id     = dev_id;
+    this->name       = std::string("HTP") + std::to_string(dev_id);
+
+    this->op_pending  = 0;
+
+    GGML_LOG_DEBUG("ggml-hex: %s allocating new session\n", this->name.c_str());
+
+    domain * my_domain = get_domain(this->domain_id);
+    if (my_domain == NULL) {
+        GGML_LOG_ERROR("ggml-hex: unable to get domain struct for CDSP\n");
+        throw std::runtime_error("ggml-hex: failed to get CDSP domain (see log for details)");
+    }
+
+    // Create new session
+    if (dev_id != 0) {
+        struct remote_rpc_reserve_new_session n;
+        n.domain_name_len  = strlen(CDSP_DOMAIN_NAME);
+        n.domain_name      = const_cast<char *>(CDSP_DOMAIN_NAME);
+        n.session_name     = const_cast<char *>(this->name.c_str());
+        n.session_name_len = this->name.size();
+
+        int err = remote_session_control(FASTRPC_RESERVE_NEW_SESSION, (void *) &n, sizeof(n));
+        if (err != AEE_SUCCESS) {
+            GGML_LOG_ERROR("ggml-hex: failed to reserve new session %d : error 0x%x\n", dev_id, err);
+            throw std::runtime_error("ggml-hex: remote_session_control(new-sess) failed (see log for details)");
+        }
+
+        // Save the IDs
+        this->session_id    = n.session_id;
+        this->domain_id     = n.effective_domain_id;
+        this->valid_session = true;
+    }
+
+    // Get session URI
+
+    char session_uri[256];
+    {
+        char htp_uri[256];
+        snprintf(htp_uri, sizeof(htp_uri), "file:///libggml-htp-v%u.so?htp_iface_skel_handle_invoke&_modver=1.0", opt_arch);
+
+        struct remote_rpc_get_uri u = {};
+        u.session_id      = this->session_id;
+        u.domain_name     = const_cast<char *>(CDSP_DOMAIN_NAME);
+        u.domain_name_len = strlen(CDSP_DOMAIN_NAME);
+        u.module_uri      = const_cast<char *>(htp_uri);
+        u.module_uri_len  = strlen(htp_uri);
+        u.uri             = session_uri;
+        u.uri_len         = sizeof(session_uri);
+
+        int err = remote_session_control(FASTRPC_GET_URI, (void *) &u, sizeof(u));
+        if (err != AEE_SUCCESS) {
+            // fallback to single session uris
+            int htp_URI_domain_len = strlen(htp_uri) + MAX_DOMAIN_NAMELEN;
+
+            snprintf(session_uri, htp_URI_domain_len, "%s%s", htp_uri, my_domain->uri);
+
+            GGML_LOG_WARN("ggml-hex: failed to get URI for session %d : error 0x%x. Falling back to single session URI: %s\n", dev_id, err, session_uri);
+        }
+    }
+
+    // Enable Unsigned PD
+    {
+        struct remote_rpc_control_unsigned_module u;
+        u.domain = this->domain_id;
+        u.enable = 1;
+        int err  = remote_session_control(DSPRPC_CONTROL_UNSIGNED_MODULE, (void *) &u, sizeof(u));
+        if (err != AEE_SUCCESS) {
+            GGML_LOG_ERROR("ggml-hex: failed to enable unsigned PD for session %d : error 0x%x\n", dev_id, err);
+            throw std::runtime_error("ggml-hex: remote_session_control(unsign) failed (see log for details)");
+        }
+    }
+
+    // Open session
+    int err = htp_iface_open(session_uri, &this->handle);
+    if (err != AEE_SUCCESS) {
+        GGML_LOG_ERROR("ggml-hex: failed to open session %d : error 0x%x\n", dev_id, err);
+        throw std::runtime_error("ggml-hex: failed to open session (see log for details)");
+    }
+
+    this->valid_handle = true;
+
+    // Enable FastRPC QoS mode
+    {
+        struct remote_rpc_control_latency l;
+        l.enable = 1;
+
+        int err = remote_handle64_control(this->handle, DSPRPC_CONTROL_LATENCY, (void *) &l, sizeof(l));
+        if (err != 0) {
+            GGML_LOG_WARN("ggml-hex: failed to enable fastrpc QOS mode: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    GGML_LOG_INFO("ggml-hex: %s new session : session-id %d domain-id %d uri %s handle 0x%lx\n", this->c_name(),
+                  this->session_id, this->domain_id, session_uri, (unsigned long) this->handle);
+
+    const size_t req_q_size = (sizeof(htp_opbatch_req) * opt_opqueue * 2) + 1024;
+    const size_t rsp_q_size = (sizeof(htp_opbatch_rsp) * opt_opqueue * 2) + 1024;
+
+    // Now let's setup the DSP queue
+    err = dspqueue_create(this->domain_id,
+                          0,              // Flags
+                          req_q_size,     // Request  queue size (in bytes)
+                          rsp_q_size,     // Response queue size (in bytes)
+                          nullptr,        // Read packet callback (we handle reads explicitly)
+                          nullptr,        // Error callback (we handle errors during reads)
+                          (void *) this,  // Callback context
+                          &queue);
+    if (err != 0) {
+        GGML_LOG_ERROR("ggml-hex: %s dspqueue_create failed: 0x%08x\n", this->name.c_str(), (unsigned) err);
+        throw std::runtime_error("ggml-hex: failed to create dspqueue (see log for details)");
+    }
+
+    this->valid_queue = true;
+
+    // Export queue for use on the DSP
+    err = dspqueue_export(queue, &this->queue_id);
+    if (err != 0) {
+        GGML_LOG_ERROR("ggml-hex: dspqueue_export failed: 0x%08x\n", (unsigned) err);
+        throw std::runtime_error("ggml-hex: dspqueue export failed (see log for details)");
+    }
+
+    if (opt_etm) {
+        err = htp_iface_etm(this->handle, 1);
+        if (err != 0) {
+            GGML_LOG_ERROR("ggml-hex: failed to enable ETM tracing: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    if (opt_profile) {
+        htp_iface_pmu_conf pmu_conf{};
+        std::copy(opt_pmu_evt.begin(), opt_pmu_evt.end(), pmu_conf.events);
+
+        err = htp_iface_profiler(this->handle, opt_profile, &pmu_conf);
+        if (err != 0) {
+            GGML_LOG_ERROR("ggml-hex: failed to enable profiling: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    // Allocate buffers and state for op batching
+    this->op_queue = new ggml_hexagon_opqueue(this, opt_opbatch, opt_opqueue);
+
+    if (!opt_vmem) {
+        opt_vmem = ggml_hexagon_measure_max_vmem(this);
+        GGML_LOG_INFO("ggml-hex: %s measured max vmem %zu\n", this->c_name(), opt_vmem);
+    }
+
+    this->op_batch = new ggml_hexagon_opbatch(this, opt_opbatch, opt_vmem);
+
+    // Start dspqueue/opbatch processing
+    err = htp_iface_start(this->handle, dev_id, this->queue_id, opt_nhvx, opt_use_hmx, opt_vmem);
+    if (err != 0) {
+        GGML_LOG_ERROR("ggml-hex: %s failed to start session: 0x%08x\n", this->c_name(), (unsigned) err);
+        throw std::runtime_error("ggml-hex: iface start failed (see log for details)");
+    }
+    this->valid_iface = true;
+}
+
+void ggml_hexagon_session::release() noexcept(true) {
+    GGML_LOG_INFO("ggml-hex: releasing session: %s\n", this->name.c_str());
+
+    int err;
+
+    if (this->valid_iface) {
+        // Stop dspqueue/opbatch processing
+        err = htp_iface_stop(this->handle);
+        if (err != 0) {
+            GGML_ABORT("ggml-hex: htp_iface_stop failed: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    delete this->op_batch;
+    delete this->op_queue;
+
+    if (opt_etm) {
+        err = htp_iface_etm(this->handle, 0);
+        if (err != 0) {
+            GGML_LOG_ERROR("ggml-hex: warn : failed to disable ETM tracing: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    if (opt_profile) {
+        htp_iface_pmu_conf pmu_conf{};
+        err = htp_iface_profiler(this->handle, 0, &pmu_conf);
+        if (err != 0) {
+            GGML_LOG_ERROR("ggml-hex: warn : failed to disable profiling: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    if (this->valid_queue) {
+        err = dspqueue_close(queue);
+        if (err != 0) {
+            GGML_ABORT("ggml-hex: dspqueue_close failed: 0x%08x\n", (unsigned) err);
+        }
+    }
+
+    if (this->valid_handle) {
+        htp_iface_close(this->handle);
+    }
+}
+
+ggml_hexagon_session::ggml_hexagon_session(int dev_id, ggml_backend_dev_t dev) noexcept(false) {
+    buffer_type.device        = dev;
+    repack_buffer_type.device = dev;
+
+    op_batch = nullptr;
+    op_queue = nullptr;
+
+    try {
+        allocate(dev_id);
+
+        buffer_type.iface   = ggml_backend_hexagon_buffer_type_interface;
+        buffer_type.context = new ggml_backend_hexagon_buffer_type_context(this->name, this);
+
+        repack_buffer_type.iface   = ggml_backend_hexagon_repack_buffer_type_interface;
+        repack_buffer_type.context = new ggml_backend_hexagon_buffer_type_context(this->name + "-REPACK", this);
+    } catch (const std::exception & exc) {
+        release();
+        throw;
+    }
+}
+
+ggml_hexagon_session::~ggml_hexagon_session() noexcept(true) {
+    release();
+
+    delete static_cast<ggml_backend_hexagon_buffer_type_context *>(buffer_type.context);
+    delete static_cast<ggml_backend_hexagon_buffer_type_context *>(repack_buffer_type.context);
+}
+
+// ** backend interface
 
 static bool ggml_backend_buffer_is_hexagon(const struct ggml_backend_buffer * b) {
     return b->buft->iface.get_alignment == ggml_backend_hexagon_buffer_type_get_alignment;
@@ -1813,9 +2254,12 @@ static bool ggml_hexagon_supported_flash_attn_ext(const struct ggml_hexagon_sess
         return false;
     }
 
-    return opt_experimental;
-}
+    if (dst->ne[3] != 1) {
+        return false;
+    }
 
+    return true;
+}
 
 static bool ggml_hexagon_supported_mul_mat(const struct ggml_hexagon_session * sess, const struct ggml_tensor * dst) {
     const struct ggml_tensor * src0 = dst->src[0];
@@ -1976,8 +2420,8 @@ static bool ggml_hexagon_supported_unary(const struct ggml_hexagon_session * ses
         return false;
     }
 
-    // TODO: add support for non-contigiuos tensors
-    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) {
+    // TODO: add support for non-contiguous elements within a row
+    if (!ggml_is_contiguous_rows(src0) || !ggml_is_contiguous_rows(dst)) {
         return false;
     }
 
@@ -2080,6 +2524,23 @@ static bool ggml_hexagon_supported_softmax(const struct ggml_hexagon_session * s
         }
     }
 
+    // Reject non-HVX-aligned sizes when ne[0] > HVX_F32_LANES
+    // The HVX softmax implementation has issues with tail handling for larger non-aligned sizes
+    // Small sizes (ne[0] <= 32) work correctly with tail-only processing
+    const int64_t ne0 = src0->ne[0];
+    if (ne0 > 32 && (ne0 & (32 - 1)) != 0) {
+        return false;
+    }
+
+    // HVX vector size constraints for softmax
+    #define SOFTMAX_MAX_ROW_SIZE 131072  // 128K elements max for numerical precision
+
+    // Reject very large row sizes to avoid numerical precision issues
+    // Softmax accumulation over many elements can lead to precision loss
+    if (ne0 > SOFTMAX_MAX_ROW_SIZE) {
+        return false;
+    }
+
     return true;
 }
 
@@ -2188,447 +2649,124 @@ static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess
         if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) {
             return false;
         }
-    }
-
-    return true;
-}
-
-static bool ggml_hexagon_supported_ssm_conv(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
-    const struct ggml_tensor * src0 = op->src[0];
-    const struct ggml_tensor * src1 = op->src[1];
-    const struct ggml_tensor * dst  = op;
-
-    // Only support FP32 for now
-    if (src0->type != GGML_TYPE_F32 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
-        return false;
-    }
-
-    // Check IO tensor shapes and dims
-    if (src0->ne[3] != 1 || src1->ne[2] != 1 || src1->ne[3] != 1 || dst->ne[3] != 1) {
-        return false; // src0 should be effectively 3D
-    }
-
-    const int d_conv = src1->ne[0];
-    const int d_inner = src0->ne[1];
-    const int n_t = dst->ne[1];
-    const int n_s = dst->ne[2];
-
-    if (src0->ne[0] != d_conv - 1 + n_t || src0->ne[1] != d_inner || src0->ne[2] != n_s) {
-        return false;
-    }
-    if (src1->ne[0] != d_conv || src1->ne[1] != d_inner) {
-        return false;
-    }
-    if (dst->ne[0] != d_inner || dst->ne[1] != n_t || dst->ne[2] != n_s) {
-        return false;
-    }
-
-    // TODO: add support for non-contiguous tensors
-    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) {
-        return false;
-    }
-
-    return true;
-}
-
-static bool ggml_hexagon_supported_cumsum(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
-    const struct ggml_tensor * src0 = op->src[0];
-    const struct ggml_tensor * dst  = op;
-
-    if (src0->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
-        return false;
-    }
-
-    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) {
-        return false;
-    }
-
-    GGML_UNUSED(sess);
-    return true;
-}
-
-enum dspqbuf_type {
-    DSPQBUF_TYPE_DSP_WRITE_CPU_READ = 0,
-    DSPQBUF_TYPE_CPU_WRITE_DSP_READ,
-    DSPQBUF_TYPE_CONSTANT,
-};
-
-static void dspqbuf_dump(dspqueue_buffer * d, const struct ggml_tensor * t, dspqbuf_type type) {
-    if (opt_verbose < 2) return;
-
-    auto buf  = static_cast<ggml_backend_hexagon_buffer_context *>(t->buffer->context);
-    auto sess = buf->sess;
-
-    GGML_LOG_DEBUG("ggml-hex: %s dspqbuf : %s base-addr %p base-size %zu data %p offset %u size %u\n", sess->name.c_str(),
-                t->name, (void *) buf->base, buf->size, (void *) d->ptr, (unsigned int) d->offset,
-                (unsigned int) d->size);
-}
-
-// Init hexagon tensor from GGML tensor and Hexagon buffer
-static void htp_req_tensor_init(htp_tensor * h, const ggml_tensor * t) {
-    h->data  = 0;  // updated by the receiver
-    h->type  = t->type;
-    h->ne[0] = t->ne[0];
-    h->ne[1] = t->ne[1];
-    h->ne[2] = t->ne[2];
-    h->ne[3] = t->ne[3];
-    h->nb[0] = t->nb[0];
-    h->nb[1] = t->nb[1];
-    h->nb[2] = t->nb[2];
-    h->nb[3] = t->nb[3];
-}
-
-static size_t htp_req_buff_init(htp_tensor *h, dspqueue_buffer * d, const ggml_tensor * t, dspqbuf_type type) {
-    if (!t) {
-        return 0;
-    }
-
-    auto buf = static_cast<ggml_backend_hexagon_buffer_context *>(t->buffer->context);
-
-    memset(d, 0, sizeof(*d));
-    d->fd     = buf->fd;
-    d->ptr    = t->data;
-    d->offset = (uint8_t *) t->data - buf->base;
-    d->size   = ggml_nbytes(t);
-
-    if (!d->size) {
-        // Some requests contain srcs where ggml_nbytes() returns 0 but the rest of the op is non-empty
-        d->size = 64;
-    }
-
-    switch (type) {
-        case DSPQBUF_TYPE_DSP_WRITE_CPU_READ:
-            // Flush CPU
-            d->flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER;
-            break;
-        case DSPQBUF_TYPE_CPU_WRITE_DSP_READ:
-            // Flush CPU, Invalidate DSP
-            d->flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
-            break;
-        default:
-            // Constant buffer, no cache maintenance
-            d->flags = 0;
-            break;
-    }
-
-    htp_req_tensor_init(h, t);
-
-    dspqbuf_dump(d, t, type);
-
-    return 1;
-}
-
-typedef size_t (*htp_req_init_func_t)(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * op);
-
-template <htp_req_init_func_t _init_req_func>
-static inline void ggml_hexagon_dispatch_op(ggml_hexagon_session *sess, const struct ggml_tensor * op, uint32_t flags) {
-    uint64_t t = ggml_time_us();
-
-    // Construct HTP request
-    htp_general_req req;
-    memset(&req, 0, sizeof(req));
-
-    req.flags = flags;
-    if (!(opt_opmask & HTP_OPMASK_QUANTIZE)) {
-        req.flags |= HTP_OPFLAGS_SKIP_QUANTIZE;
-    }
-    if (!(opt_opmask & HTP_OPMASK_COMPUTE)) {
-        req.flags |= HTP_OPFLAGS_SKIP_COMPUTE;
-    }
-
-    ggml_hexagon_dump_op_exec(sess->name, op, req.flags);
-
-    if ((opt_opmask & HTP_OPMASK_QUEUE)) {
-        dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        size_t n_bufs = _init_req_func(&req, bufs, op);
-        sess->enqueue(req, bufs, n_bufs, opt_opsync);
-    }
-
-    t = ggml_time_us() - t;
-
-    ggml_hexagon_dump_op_prof(sess->name, op, sess->prof_usecs, sess->prof_cycles, sess->prof_pkts, t);
-}
-
-template <bool _is_src0_constant>
-static inline size_t init_binary_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    switch (t->op) {
-        case GGML_OP_MUL_MAT:
-            req->op = HTP_OP_MUL_MAT;
-            break;
-        case GGML_OP_MUL:
-            req->op = HTP_OP_MUL;
-            break;
-        case GGML_OP_ADD:
-            req->op = HTP_OP_ADD;
-            break;
-        case GGML_OP_SUB:
-            req->op = HTP_OP_SUB;
-            break;
-        case GGML_OP_DIV:
-            req->op = HTP_OP_DIV;
-            break;
-        default:
-            GGML_ABORT("ggml-hex: binary : unsupported op: %d\n", t->op);
-            break;
-    }
-
-    // src0: Weights (mulmat) or First Operand (binary op).
-    // If constant (e.g. weights), no cache management is needed.
-    // src1: Input Activations (mulmat) or Second Operand (binary op).
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], _is_src0_constant ? DSPQBUF_TYPE_CONSTANT : DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_cpy_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_CPY;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_cont_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    // CONT is just a contiguous copy — reuse CPY op
-    req->op = HTP_OP_CPY;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_repeat_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_REPEAT;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_cumsum_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_CUMSUM;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_get_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_GET_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_argsort_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_ARGSORT;
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-template <bool _is_src0_constant>
-static inline size_t init_binary_id_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    switch (t->op) {
-        case GGML_OP_MUL_MAT_ID:
-            req->op = HTP_OP_MUL_MAT_ID;
-            break;
-        case GGML_OP_ADD_ID:
-            req->op = HTP_OP_ADD_ID;
-            break;
-        default:
-            GGML_ABORT("ggml-hex: unsupported op: %d\n", t->op);
-    }
-
-    // src0: Weights (mulmat) or Input Activations (other op).
-    // If constant, no cache management is needed.
-    // src1: Input Activations (mulmat) or Second Operand (binary op).
-    // src2: Expert IDs (mulmat) or Activated Experts (other op).
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], _is_src0_constant ? DSPQBUF_TYPE_CONSTANT : DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
-}
-
-static inline size_t init_set_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_SET_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+    }
 
-    return n_bufs;
+    return true;
 }
 
-static inline size_t init_unary_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-
-    bool supported = false;
+static bool ggml_hexagon_supported_ssm_conv(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * src1 = op->src[1];
+    const struct ggml_tensor * dst  = op;
 
-    switch (t->op) {
-        case GGML_OP_RMS_NORM:
-            req->op   = HTP_OP_RMS_NORM;
-            supported = true;
-            break;
+    // Only support FP32 for now
+    if (src0->type != GGML_TYPE_F32 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
+    }
 
-        case GGML_OP_SCALE:
-            req->op   = HTP_OP_SCALE;
-            supported = true;
-            break;
+    // Check IO tensor shapes and dims
+    if (src0->ne[3] != 1 || src1->ne[2] != 1 || src1->ne[3] != 1 || dst->ne[3] != 1) {
+        return false; // src0 should be effectively 3D
+    }
 
-        case GGML_OP_SQR:
-            req->op   = HTP_OP_SQR;
-            supported = true;
-            break;
+    const int d_conv = src1->ne[0];
+    const int d_inner = src0->ne[1];
+    const int n_t = dst->ne[1];
+    const int n_s = dst->ne[2];
 
-        case GGML_OP_SQRT:
-            req->op   = HTP_OP_SQRT;
-            supported = true;
-            break;
+    if (src0->ne[0] != d_conv - 1 + n_t || src0->ne[1] != d_inner || src0->ne[2] != n_s) {
+        return false;
+    }
+    if (src1->ne[0] != d_conv || src1->ne[1] != d_inner) {
+        return false;
+    }
+    if (dst->ne[0] != d_inner || dst->ne[1] != n_t || dst->ne[2] != n_s) {
+        return false;
+    }
 
-        case GGML_OP_UNARY:
-            switch (ggml_get_unary_op(t)) {
-            case GGML_UNARY_OP_SILU:
-                req->op   = HTP_OP_UNARY_SILU;
-                supported = true;
-                break;
-            case  GGML_UNARY_OP_GELU:
-                req->op   = HTP_OP_UNARY_GELU;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_SIGMOID:
-                req->op   = HTP_OP_UNARY_SIGMOID;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_NEG:
-                req->op   = HTP_OP_UNARY_NEG;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_EXP:
-                req->op   = HTP_OP_UNARY_EXP;
-                supported = true;
-                break;
-            case GGML_UNARY_OP_SOFTPLUS:
-                req->op   = HTP_OP_UNARY_SOFTPLUS;
-                supported = true;
-                break;
-            default:
-                break;
-            }
-            break;
+    // TODO: add support for non-contiguous tensors
+    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1) || !ggml_is_contiguous(dst)) {
+        return false;
+    }
 
-        case GGML_OP_GLU:
-            if (ggml_get_glu_op(t) == GGML_GLU_OP_SWIGLU) {
-                req->op   = HTP_OP_GLU_SWIGLU;
-                supported = true;
-            } else if (ggml_get_glu_op(t) == GGML_GLU_OP_SWIGLU_OAI) {
-                req->op   = HTP_OP_GLU_SWIGLU_OAI;
-                supported = true;
-            } else if (ggml_get_glu_op(t) == GGML_GLU_OP_GEGLU) {
-                req->op   = HTP_OP_GLU_GEGLU;
-                supported = true;
-            }
-            break;
+    return true;
+}
 
-        case GGML_OP_SOFT_MAX:
-            req->op   = HTP_OP_SOFTMAX;
-            supported = true;
-            break;
+static bool ggml_hexagon_supported_cumsum(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * dst  = op;
 
-        default:
-            break;
+    if (src0->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
     }
 
-    if (!supported) {
-        GGML_ABORT("ggml-hex: unary : unsupported op: %d\n", t->op);
+    if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(dst)) {
+        return false;
     }
 
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
-
-    return n_bufs;
+    GGML_UNUSED(sess);
+    return true;
 }
 
-static inline size_t init_sum_rows_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_SUM_ROWS;
-
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+static bool ggml_hexagon_supported_diag(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * dst  = op;
 
-    return n_bufs;
-}
+    // diag only supports F32 currently
+    if (src0->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
+    }
 
-static inline size_t init_rope_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_ROPE;
+    // Input must have ne[1] == 1 (vector input)
+    if (src0->ne[1] != 1) {
+        return false;
+    }
 
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+    // Output must be square in first two dimensions
+    if (dst->ne[0] != dst->ne[1] || dst->ne[0] != src0->ne[0]) {
+        return false;
+    }
 
-    return n_bufs;
+    GGML_UNUSED(sess);
+    return true;
 }
 
-static inline size_t init_flash_attn_ext_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    memcpy(&req->op_params, &t->op_params, sizeof(t->op_params));
-    req->op = HTP_OP_FLASH_ATTN_EXT;
+static bool ggml_hexagon_supported_solve_tri(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0]; // A
+    const struct ggml_tensor * src1 = op->src[1]; // B
+    const struct ggml_tensor * dst  = op;         // X
 
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src2, &bufs[n_bufs], t->src[2], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src3, &bufs[n_bufs], t->src[3], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src4, &bufs[n_bufs], t->src[4], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+    if (!src0 || !src1) {
+        return false;
+    }
 
-    return n_bufs;
-}
+    if (src0->type != GGML_TYPE_F32 || src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) {
+        return false;
+    }
+
+    if (src0->ne[0] != src0->ne[1]) {
+        return false;
+    }
+
+    if (src0->ne[1] != src1->ne[1]) {
+        return false;
+    }
 
-static inline size_t init_ssm_conv_req(htp_general_req * req, dspqueue_buffer * bufs, const ggml_tensor * t) {
-    req->op = HTP_OP_SSM_CONV;
+    if (src0->ne[2] != src1->ne[2] || src0->ne[3] != src1->ne[3]) {
+        return false;
+    }
 
-    size_t n_bufs = 0;
-    n_bufs += htp_req_buff_init(&req->src0, &bufs[n_bufs], t->src[0], DSPQBUF_TYPE_CPU_WRITE_DSP_READ);
-    n_bufs += htp_req_buff_init(&req->src1, &bufs[n_bufs], t->src[1], DSPQBUF_TYPE_CONSTANT);
-    n_bufs += htp_req_buff_init(&req->dst,  &bufs[n_bufs], t,         DSPQBUF_TYPE_DSP_WRITE_CPU_READ);
+    if (dst->ne[0] != src1->ne[0] || dst->ne[1] != src1->ne[1] || dst->ne[2] != src1->ne[2] || dst->ne[3] != src1->ne[3]) {
+        return false;
+    }
 
-    return n_bufs;
+    GGML_UNUSED(sess);
+    return true;
 }
 
 static const char * ggml_backend_hexagon_name(ggml_backend_t backend) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
-    return sess->name.c_str();
+    return sess->c_name();
 }
 
 static void ggml_backend_hexagon_free(ggml_backend_t backend) {
@@ -2637,181 +2775,76 @@ static void ggml_backend_hexagon_free(ggml_backend_t backend) {
     delete backend;
 }
 
-// Map weight type to its activation quantization family.
-// Types in the same family produce identical Q8 formats in VTCM and can
-// safely share quantized activation data via SKIP_QUANTIZE.
-// When adding a new quantized type, assign it the correct family here.
-static inline int act_quant_family(enum ggml_type wtype) {
-    switch (wtype) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q8_0:
-        case GGML_TYPE_IQ4_NL:
-        case GGML_TYPE_MXFP4:
-            return 1;  // Q8x4x2
+static htp_op_code op_remap_to_htp(const ggml_tensor * t) {
+    switch (t->op) {
+        case GGML_OP_FLASH_ATTN_EXT: return HTP_OP_FLASH_ATTN_EXT;
+        case GGML_OP_MUL_MAT:        return HTP_OP_MUL_MAT;
+        case GGML_OP_MUL_MAT_ID:     return HTP_OP_MUL_MAT_ID;
+        case GGML_OP_MUL:            return HTP_OP_MUL;
+        case GGML_OP_ADD:            return HTP_OP_ADD;
+        case GGML_OP_ADD_ID:         return HTP_OP_ADD_ID;
+        case GGML_OP_SUB:            return HTP_OP_SUB;
+        case GGML_OP_DIV:            return HTP_OP_DIV;
+        case GGML_OP_CPY:            return HTP_OP_CPY;
+        case GGML_OP_CONT:           return HTP_OP_CPY;
+        case GGML_OP_GET_ROWS:       return HTP_OP_GET_ROWS;
+        case GGML_OP_SET_ROWS:       return HTP_OP_SET_ROWS;
+        case GGML_OP_SUM_ROWS:       return HTP_OP_SUM_ROWS;
+        case GGML_OP_ARGSORT:        return HTP_OP_ARGSORT;
+        case GGML_OP_RMS_NORM:       return HTP_OP_RMS_NORM;
+        case GGML_OP_SCALE:          return HTP_OP_SCALE;
+        case GGML_OP_SQR:            return HTP_OP_SQR;
+        case GGML_OP_SQRT:           return HTP_OP_SQRT;
+        case GGML_OP_SOFT_MAX:       return HTP_OP_SOFTMAX;
+        case GGML_OP_SSM_CONV:       return HTP_OP_SSM_CONV;
+        case GGML_OP_ROPE:           return HTP_OP_ROPE;
+        case GGML_OP_REPEAT:         return HTP_OP_REPEAT;
+        case GGML_OP_CUMSUM:         return HTP_OP_CUMSUM;
+        case GGML_OP_FILL:           return HTP_OP_FILL;
+        case GGML_OP_DIAG:           return HTP_OP_DIAG;
+        case GGML_OP_SOLVE_TRI:      return HTP_OP_SOLVE_TRI;
+        case GGML_OP_UNARY:
+            switch (ggml_get_unary_op(t)) {
+                case GGML_UNARY_OP_SILU:     return HTP_OP_UNARY_SILU;
+                case GGML_UNARY_OP_GELU:     return HTP_OP_UNARY_GELU;
+                case GGML_UNARY_OP_SIGMOID:  return HTP_OP_UNARY_SIGMOID;
+                case GGML_UNARY_OP_NEG:      return HTP_OP_UNARY_NEG;
+                case GGML_UNARY_OP_EXP:      return HTP_OP_UNARY_EXP;
+                case GGML_UNARY_OP_SOFTPLUS: return HTP_OP_UNARY_SOFTPLUS;
+            default:
+                break;
+            }
+            break;
+
+        case GGML_OP_GLU:
+            switch (ggml_get_glu_op(t)) {
+                case GGML_GLU_OP_SWIGLU:     return HTP_OP_GLU_SWIGLU;
+                case GGML_GLU_OP_SWIGLU_OAI: return HTP_OP_GLU_SWIGLU_OAI;
+                case GGML_GLU_OP_GEGLU:      return HTP_OP_GLU_GEGLU;
+                default: break;
+            }
+            break;
+
         default:
-            return 0;  // unknown / not quantized
+            GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(t));
     }
+    return HTP_OP_INVALID;
 }
 
-static inline bool op_reuse_src1(const ggml_tensor * op1, const ggml_tensor * op0) {
-    return (op0 && op0->src[1] == op1->src[1] &&
-            act_quant_family(op0->src[0]->type) == act_quant_family(op1->src[0]->type) &&
-            act_quant_family(op0->src[0]->type) != 0);
-}
-
-static inline bool is_compute_op(ggml_tensor *node)
+static inline bool op_is_compute(ggml_tensor *node)
 {
     return !ggml_op_is_empty(node->op) && !ggml_is_empty(node) && (node->flags & GGML_TENSOR_FLAG_COMPUTE);
 }
 
-// scan the graph and figure out last compute op index
-static inline int last_compute_op(ggml_cgraph * graph) {
-    int last = 0;
-    for (int i = 0; i < graph->n_nodes; ++i) {
-        if (is_compute_op(graph->nodes[i])) {
-            last = i;
-        }
-    }
-
-    return last;
-}
-
 static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, ggml_cgraph * graph) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
 
-    HEX_VERBOSE("ggml-hex: %s graph-compute n_nodes %d\n", sess->name.c_str(), graph->n_nodes);
-
-    const int last = last_compute_op(graph);
-
-    const struct ggml_tensor * prev_op = nullptr;  // prev executed op
+    HEX_VERBOSE("ggml-hex: %s graph-compute n_nodes %d\n", sess->c_name(), graph->n_nodes);
 
     for (int i = 0; i < graph->n_nodes; ++i) {
-        ggml_tensor * node = graph->nodes[i];
-
-        if (!is_compute_op(node)) {
-            continue;
-        }
-
-        uint32_t flags = 0;
-
-        // skip quantizer if src1 is reused
-        if (op_reuse_src1(node, prev_op)) {
-            flags |= HTP_OPFLAGS_SKIP_QUANTIZE;
-        }
-
-        prev_op = node;
-
-        // ask for early notification for the last Op
-        if (i == last) {
-            flags |= HTP_OPFLAGS_EARLY_WAKEUP;
-        }
-
-        switch (node->op) {
-            case GGML_OP_MUL_MAT:
-                if (ggml_is_quantized(node->src[0]->type)) {
-                    ggml_hexagon_dispatch_op<init_binary_req<true>>(sess, node, flags);
-                } else {
-                    ggml_hexagon_dispatch_op<init_binary_req<false>>(sess, node, flags);
-                }
-                break;
-            case GGML_OP_MUL_MAT_ID:
-                if (ggml_is_quantized(node->src[0]->type)) {
-                    ggml_hexagon_dispatch_op<init_binary_id_req<true>>(sess, node, flags);
-                } else {
-                    ggml_hexagon_dispatch_op<init_binary_id_req<false>>(sess, node, flags);
-                }
-                break;
-            case GGML_OP_MUL:
-            case GGML_OP_ADD:
-            case GGML_OP_SUB:
-            case GGML_OP_DIV:
-                ggml_hexagon_dispatch_op<init_binary_req<false>>(sess, node, flags);
-                break;
-            case GGML_OP_ADD_ID:
-                ggml_hexagon_dispatch_op<init_binary_id_req<false>>(sess, node, flags);
-                break;
-            case GGML_OP_RMS_NORM:
-            case GGML_OP_SCALE:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-            case GGML_OP_SQR:
-            case GGML_OP_SQRT:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-            case GGML_OP_SUM_ROWS:
-                ggml_hexagon_dispatch_op<init_sum_rows_req>(sess, node, flags);
-                break;
-            case GGML_OP_UNARY:
-                switch (ggml_get_unary_op(node)) {
-                    case GGML_UNARY_OP_NEG:
-                    case GGML_UNARY_OP_EXP:
-                    case GGML_UNARY_OP_SIGMOID:
-                    case GGML_UNARY_OP_SOFTPLUS:
-                    case GGML_UNARY_OP_SILU:
-                    case GGML_UNARY_OP_GELU:
-                        ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                        break;
-                    default:
-                        break;
-                }
-                break;
-            case GGML_OP_GLU:
-                switch (ggml_get_glu_op(node)) {
-                    case GGML_GLU_OP_SWIGLU:
-                    case GGML_GLU_OP_SWIGLU_OAI:
-                    case GGML_GLU_OP_GEGLU:
-                        ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                        break;
-                    default:
-                        break;
-                }
-                break;
-            case GGML_OP_SOFT_MAX:
-                ggml_hexagon_dispatch_op<init_unary_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_ROPE:
-                ggml_hexagon_dispatch_op<init_rope_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_FLASH_ATTN_EXT:
-                ggml_hexagon_dispatch_op<init_flash_attn_ext_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_SET_ROWS:
-                ggml_hexagon_dispatch_op<init_set_rows_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_GET_ROWS:
-                ggml_hexagon_dispatch_op<init_get_rows_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_CPY:
-                ggml_hexagon_dispatch_op<init_cpy_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_CONT:
-                ggml_hexagon_dispatch_op<init_cont_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_REPEAT:
-                ggml_hexagon_dispatch_op<init_repeat_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_ARGSORT:
-                ggml_hexagon_dispatch_op<init_argsort_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_SSM_CONV:
-                ggml_hexagon_dispatch_op<init_ssm_conv_req>(sess, node, flags);
-                break;
-
-            case GGML_OP_CUMSUM:
-                ggml_hexagon_dispatch_op<init_cumsum_req>(sess, node, flags);
-                break;
-
-            default:
-                GGML_ABORT("\nggml-hex: graph-compute %s is not supported\n", ggml_op_desc(node));
+        ggml_tensor * n = graph->nodes[i];
+        if (op_is_compute(n) && (opt_opstage & HTP_OPSTAGE_QUEUE)) {
+            sess->enqueue_op(op_remap_to_htp(n), n);
         }
     }
 
@@ -2824,7 +2857,7 @@ static ggml_status ggml_backend_hexagon_graph_compute(ggml_backend_t backend, gg
 static void ggml_backend_hexagon_synchronize(ggml_backend_t backend) {
     auto sess = static_cast<ggml_hexagon_session *>(backend->context);
 
-    HEX_VERBOSE("ggml-hex: %s synchronize\n", sess->name.c_str());
+    HEX_VERBOSE("ggml-hex: %s synchronize\n", sess->c_name());
 
     // Wait until all pending ops complete
     sess->flush();
@@ -3002,6 +3035,8 @@ static struct ggml_backend_i hexagon_backend_i = {
     /* .free                    = */ ggml_backend_hexagon_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ ggml_backend_hexagon_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -3041,7 +3076,7 @@ static ggml_backend_t ggml_backend_hexagon_device_init(ggml_backend_dev_t dev, c
 
 static const char * ggml_backend_hexagon_device_get_name(ggml_backend_dev_t dev) {
     auto sess = static_cast<ggml_hexagon_session *>(dev->context);
-    return sess->name.c_str();
+    return sess->c_name();
 
     GGML_UNUSED(dev);
 }
@@ -3052,8 +3087,7 @@ static const char * ggml_backend_hexagon_device_get_description(ggml_backend_dev
 }
 
 static void ggml_backend_hexagon_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
-    // ~2GB per session for now
-    *free  = 2ULL * 1024 * 1024 * 1024;
+    *free  = 0;
     *total = *free;
 
     GGML_UNUSED(dev);
@@ -3165,9 +3199,25 @@ static bool ggml_hexagon_supported_repeat(const struct ggml_hexagon_session * se
     return true;
 }
 
+static bool ggml_hexagon_supported_fill(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
+    const struct ggml_tensor * dst = op;
+
+    if (dst->type != GGML_TYPE_F32 && dst->type != GGML_TYPE_F16) {
+        return false;
+    }
+
+    GGML_UNUSED(sess);
+    return true;
+}
+
 static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, const struct ggml_tensor * op) {
     auto sess = static_cast<ggml_hexagon_session *>(dev->context);
 
+    // reject ops that match the filter
+    if (opt_opfilter && std::regex_match(ggml_op_desc(op), *opt_opfilter)) {
+        return false;
+    }
+
     // all srcs & dsts must be mapped to the same session
     if (!ggml_hexagon_supported_buffers(sess, op)) {
         ggml_hexagon_dump_op_supp(sess->name, op, false);
@@ -3184,6 +3234,13 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = true;
             break;
 
+        case GGML_OP_MUL:
+        case GGML_OP_ADD:
+        case GGML_OP_SUB:
+        case GGML_OP_DIV:
+            supp = ggml_hexagon_supported_binary(sess, op);
+            break;
+
         case GGML_OP_MUL_MAT:
             supp = ggml_hexagon_supported_mul_mat(sess, op);
             break;
@@ -3192,13 +3249,6 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = ggml_hexagon_supported_mul_mat_id(sess, op);
             break;
 
-        case GGML_OP_MUL:
-        case GGML_OP_ADD:
-        case GGML_OP_SUB:
-        case GGML_OP_DIV:
-            supp = ggml_hexagon_supported_binary(sess, op);
-            break;
-
         case GGML_OP_ADD_ID:
             supp = ggml_hexagon_supported_add_id(sess, op);
             break;
@@ -3237,6 +3287,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
                     break;
             }
             break;
+
         case GGML_OP_GLU:
             switch (ggml_get_glu_op(op)) {
                 case GGML_GLU_OP_SWIGLU:
@@ -3248,6 +3299,7 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
                     break;
             }
             break;
+
         case GGML_OP_ROPE:
             supp = ggml_hexagon_supported_rope(sess, op);
             break;
@@ -3288,6 +3340,18 @@ static bool ggml_backend_hexagon_device_supports_op(ggml_backend_dev_t dev, cons
             supp = ggml_hexagon_supported_cumsum(sess, op);
             break;
 
+        case GGML_OP_FILL:
+            supp = ggml_hexagon_supported_fill(sess, op);
+            break;
+
+        case GGML_OP_DIAG:
+            supp = ggml_hexagon_supported_diag(sess, op);
+            break;
+
+        case GGML_OP_SOLVE_TRI:
+            supp = ggml_hexagon_supported_solve_tri(sess, op);
+            break;
+
         default:
             break;
     }
@@ -3354,21 +3418,6 @@ struct ggml_hexagon_registry {
 ggml_hexagon_registry::ggml_hexagon_registry(ggml_backend_reg_t reg) {
     GGML_LOG_INFO("ggml-hex: Hexagon backend (experimental) : allocating new registry : ndev %zu\n", opt_ndev);
 
-    if (!opt_arch) {
-        int err = get_hex_arch_ver(CDSP_DOMAIN_ID, &opt_arch);
-        if (err != 0) {
-            GGML_LOG_ERROR("ggml-hex: failed to query HTP version (err %d) defaulting to v73\n", err);
-            opt_arch = 73;
-        }
-    }
-
-#if defined(__ANDROID__)
-    if (opt_arch < 75) {
-        opt_ndev = 1;
-        GGML_LOG_WARN("ggml-hex: forcing ndev to 1 for SoCs archs lower than v75.\n");
-    }
-#endif
-
     GGML_LOG_INFO("ggml-hex: Hexagon Arch version v%d\n", opt_arch);
 
     // Create devices / sessions
@@ -3423,6 +3472,26 @@ static void * ggml_backend_hexagon_get_proc_address(ggml_backend_reg_t reg, cons
     return NULL;
 }
 
+template<typename T> std::vector<T> str_to_vec(const char* str) {
+    std::stringstream ss(str);
+    std::vector<T> v;
+    std::string    t;
+
+    while (std::getline(ss, t, ',')) {
+        v.push_back(std::stoul(t, nullptr, 0));
+    }
+
+    return v;
+}
+
+template<typename T, int BASE=10> std::string vec_to_str(std::vector<T> v) {
+    std::stringstream ss;
+    ss << std::setbase(BASE) << std::showbase;
+    for (auto i : v) { ss << i << ','; }
+    auto str = ss.str(); str.pop_back(); // drop last comma
+    return str;
+}
+
 static void ggml_hexagon_init(ggml_backend_reg * reg) {
     // Basic sanity checks to make sure definitions match
     static_assert((unsigned int) HTP_TYPE_Q4_0 == (unsigned int) GGML_TYPE_Q4_0,
@@ -3434,46 +3503,82 @@ static void ggml_hexagon_init(ggml_backend_reg * reg) {
     static_assert((unsigned int) HTP_TYPE_IQ4_NL == (unsigned int) GGML_TYPE_IQ4_NL,
                   "please update hexagon_type to match ggml_type");
 
-    const char * str_experimental = getenv("GGML_HEXAGON_EXPERIMENTAL");
-    const char * str_verbose = getenv("GGML_HEXAGON_VERBOSE");
-    const char * str_hostbuf = getenv("GGML_HEXAGON_HOSTBUF");
-    const char * str_opmask  = getenv("GGML_HEXAGON_OPMASK");
-    const char * str_opsync  = getenv("GGML_HEXAGON_OPSYNC");
-    const char * str_profile = getenv("GGML_HEXAGON_PROFILE");
-    const char * str_etm     = getenv("GGML_HEXAGON_ETM");
-    const char * str_nhvx    = getenv("GGML_HEXAGON_NHVX");
-    const char * str_use_hmx = getenv("GGML_HEXAGON_USE_HMX");
-    const char * str_ndev    = getenv("GGML_HEXAGON_NDEV");
-    const char * str_arch    = getenv("GGML_HEXAGON_ARCH");
-
-    opt_experimental = str_experimental ? atoi(str_experimental) : 0;
-    opt_verbose      = str_verbose ? atoi(str_verbose) : 0;
-    opt_hostbuf      = str_hostbuf ? atoi(str_hostbuf) : opt_hostbuf;
-    opt_opmask       = str_opmask  ? strtoul(str_opmask, NULL, 0) : opt_opmask;
-    opt_opsync       = str_opsync  ? atoi(str_opsync)  : 0;
-    opt_profile      = str_profile ? atoi(str_profile) : 0;
-    opt_etm          = str_etm     ? atoi(str_etm)     : 0;
-    opt_nhvx         = str_nhvx    ? strtoul(str_nhvx, NULL, 0) : opt_nhvx;
-    opt_use_hmx      = str_use_hmx ? atoi(str_use_hmx) : opt_use_hmx;
-    opt_ndev         = str_ndev    ? strtoul(str_ndev, NULL, 0) : opt_ndev;
+    const char * str_verbose  = getenv("GGML_HEXAGON_VERBOSE");
+    const char * str_hostbuf  = getenv("GGML_HEXAGON_HOSTBUF");
+    const char * str_opstage  = getenv("GGML_HEXAGON_OPSTAGE");
+    const char * str_opbatch  = getenv("GGML_HEXAGON_OPBATCH");
+    const char * str_opqueue  = getenv("GGML_HEXAGON_OPQUEUE");
+    const char * str_opfilter = getenv("GGML_HEXAGON_OPFILTER");
+    const char * str_profile  = getenv("GGML_HEXAGON_PROFILE");
+    const char * str_etm      = getenv("GGML_HEXAGON_ETM");
+    const char * str_nhvx     = getenv("GGML_HEXAGON_NHVX");
+    const char * str_use_hmx  = getenv("GGML_HEXAGON_USE_HMX");
+    const char * str_ndev     = getenv("GGML_HEXAGON_NDEV");
+    const char * str_arch     = getenv("GGML_HEXAGON_ARCH");
+    const char * str_vmem     = getenv("GGML_HEXAGON_VMEM");
+    const char * str_mbuf     = getenv("GGML_HEXAGON_MBUF");
+
+    // Init Arch first since it affects other defaults
+    if (!str_arch) {
+        int err = get_hex_arch_ver(CDSP_DOMAIN_ID, &opt_arch);
+        if (err != 0) {
+            GGML_LOG_ERROR("ggml-hex: failed to query HTP version (err %d) defaulting to v73\n", err);
+            opt_arch = 73;
+        }
+    } else {
+        if (str_arch[0] == 'v' || str_arch[0] == 'V') {
+            str_arch++;
+        }
+        opt_arch = strtoul(str_arch, NULL, 0);
+    }
+
+    size_t MiB = 1024 * 1024;
+
+    // Update vmem default
+    opt_vmem = opt_arch >= 75 ? HTP_OP_MAX_VMEM_DEFAULT : 3000 * MiB;
+
+    auto RE_ICASE = std::regex_constants::icase;
+
+    opt_opfilter  = str_opfilter ? new std::regex(str_opfilter, RE_ICASE) : NULL;
+    opt_verbose   = str_verbose  ? atoi(str_verbose)                      : 0;
+    opt_hostbuf   = str_hostbuf  ? atoi(str_hostbuf)                      : opt_hostbuf;
+    opt_opstage   = str_opstage  ? strtoul(str_opstage, NULL, 0)          : opt_opstage;
+    opt_opbatch   = str_opbatch  ? strtoul(str_opbatch, NULL, 0)          : opt_opbatch;
+    opt_opqueue   = str_opqueue  ? strtoul(str_opqueue, NULL, 0)          : opt_opqueue;
+    opt_profile   = str_profile  ? atoi(str_profile)                      : 0;
+    opt_etm       = str_etm      ? atoi(str_etm)                          : 0;
+    opt_nhvx      = str_nhvx     ? strtoul(str_nhvx, NULL, 0)             : opt_nhvx;
+    opt_use_hmx   = str_use_hmx  ? atoi(str_use_hmx)                      : opt_use_hmx;
+    opt_ndev      = str_ndev     ? strtoul(str_ndev, NULL, 0)             : opt_ndev;
+    opt_hostbuf   = str_hostbuf  ? atoi(str_hostbuf)                      : opt_hostbuf;
+    opt_mbuf      = str_mbuf     ? strtoul(str_mbuf, NULL, 0) * MiB       : opt_mbuf;
+    opt_vmem      = str_vmem     ? strtoul(str_vmem, NULL, 0) * MiB       : opt_vmem;
 
     if (opt_ndev > GGML_HEXAGON_MAX_SESSIONS) {
         opt_ndev = GGML_HEXAGON_MAX_SESSIONS;
     }
 
-    if (str_arch) {
-        if (str_arch[0] == 'v') {
-            str_arch++;
-        }
-        opt_arch = strtoul(str_arch, NULL, 0);
+#if defined(__ANDROID__)
+    if (opt_arch < 75) {
+        opt_ndev = 1;
+        GGML_LOG_WARN("ggml-hex: forcing ndev to 1 for SoCs archs lower than v75.\n");
     }
+#endif
 
-    opt_hostbuf = str_hostbuf ? atoi(str_hostbuf) : 1;
+    if (str_profile) {
+        opt_pmu_evt = [&]() -> std::vector<uint32_t> {
+            auto v  = str_to_vec<uint32_t>(str_profile);
+            switch (v.size()) {
+                case 1:  opt_profile = v[0]; return opt_pmu_evt; // mode with default pmu events
+                case 8:  opt_profile = 2;    return v;           // mode with custom  pmu events
+                default: opt_profile = 0;    return {};          // garbage input
+            }}();
+        if (opt_profile == 1) opt_pmu_evt = {};
+        GGML_LOG_INFO("ggml-hex: Profiling mode %u : pmu-evt [ %s ]\n", opt_profile,
+                vec_to_str<uint32_t, 16>(opt_pmu_evt).c_str());
+    }
 
     reg->context = new ggml_hexagon_registry(reg);
-
-    HEX_VERBOSE("ggml-hex: size-of-general-req %zu size-of-general-rsp %zu\n", sizeof(struct htp_general_req),
-                sizeof(struct htp_general_rsp));
 }
 
 static const struct ggml_backend_reg_i ggml_backend_hexagon_reg_i = {
diff --git a/ggml/src/ggml-hexagon/htp/CMakeLists.txt b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
index 2b60f427a..7c9e4cda5 100644
--- a/ggml/src/ggml-hexagon/htp/CMakeLists.txt
+++ b/ggml/src/ggml-hexagon/htp/CMakeLists.txt
@@ -34,6 +34,9 @@ add_library(${HTP_LIB} SHARED
     argsort-ops.c
     ssm-conv.c
     cumsum-ops.c
+    fill-ops.c
+    diag-ops.c
+    solve-tri-ops.c
 )
 
 target_compile_definitions(${HTP_LIB} PRIVATE
@@ -41,18 +44,26 @@ target_compile_definitions(${HTP_LIB} PRIVATE
     $<IF:$<BOOL:${HEXAGON_HTP_DEBUG}>,FARF_HIGH=1,>
     FP32_QUANTIZE_GROUP_SIZE=${GGML_HEXAGON_FP32_QUANTIZE_GROUP_SIZE})
 
+if (GGML_HEXAGON_FA_EXP2_HF)
+    message(STATUS "ggml-htp: HMX_FA_USE_EXP2_HF=1 (use FP16 exp2 polynomial in FA softmax)")
+    target_compile_definitions(${HTP_LIB} PRIVATE HMX_FA_USE_EXP2_HF=1)
+endif()
+
 # HMX acceleration: available on v73+ architectures
 set(HTP_HMX_VERSIONS v73 v75 v79 v81)
 list(FIND HTP_HMX_VERSIONS ${DSP_VERSION} _hmx_idx)
 
 if (_hmx_idx GREATER_EQUAL 0)
     target_sources(${HTP_LIB} PRIVATE
+        hmx-queue.c
         hmx-matmul-ops.c
+        hmx-flash-attn-ops.c
     )
 
     # -mhmx enables HMX instruction set (needed by files that include hmx-utils.h)
     set_source_files_properties(
         hmx-matmul-ops.c
+        hmx-flash-attn-ops.c
         PROPERTIES COMPILE_OPTIONS "-mhmx"
     )
 
diff --git a/ggml/src/ggml-hexagon/htp/act-ops.c b/ggml/src/ggml-hexagon/htp/act-ops.c
index d8b924981..6416d2dfb 100644
--- a/ggml/src/ggml-hexagon/htp/act-ops.c
+++ b/ggml/src/ggml-hexagon/htp/act-ops.c
@@ -14,59 +14,42 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define htp_act_preamble3              \
-    const uint32_t ne00 = src0->ne[0]; \
-    const uint32_t ne01 = src0->ne[1]; \
-    const uint32_t ne02 = src0->ne[2]; \
-    const uint32_t ne03 = src0->ne[3]; \
-                                       \
-    const uint32_t ne10 = src1->ne[0]; \
-    const uint32_t ne11 = src1->ne[1]; \
-    const uint32_t ne12 = src1->ne[2]; \
-    const uint32_t ne13 = src1->ne[3]; \
-                                       \
-    const uint32_t ne0 = dst->ne[0];   \
-    const uint32_t ne1 = dst->ne[1];   \
-    const uint32_t ne2 = dst->ne[2];   \
-    const uint32_t ne3 = dst->ne[3];   \
-                                       \
-    const uint32_t nb00 = src0->nb[0]; \
-    const uint32_t nb01 = src0->nb[1]; \
-    const uint32_t nb02 = src0->nb[2]; \
-    const uint32_t nb03 = src0->nb[3]; \
-                                       \
-    const uint32_t nb10 = src1->nb[0]; \
-    const uint32_t nb11 = src1->nb[1]; \
-    const uint32_t nb12 = src1->nb[2]; \
-    const uint32_t nb13 = src1->nb[3]; \
-                                       \
-    const uint32_t nb0 = dst->nb[0];   \
-    const uint32_t nb1 = dst->nb[1];   \
-    const uint32_t nb2 = dst->nb[2];   \
-    const uint32_t nb3 = dst->nb[3];
-
-#define htp_act_preamble2              \
-    const uint32_t ne00 = src0->ne[0]; \
-    const uint32_t ne01 = src0->ne[1]; \
-    const uint32_t ne02 = src0->ne[2]; \
-    const uint32_t ne03 = src0->ne[3]; \
-                                       \
-    const uint32_t ne0 = dst->ne[0];   \
-    const uint32_t ne1 = dst->ne[1];   \
-    const uint32_t ne2 = dst->ne[2];   \
-    const uint32_t ne3 = dst->ne[3];   \
-                                       \
-    const uint32_t nb00 = src0->nb[0]; \
-    const uint32_t nb01 = src0->nb[1]; \
-    const uint32_t nb02 = src0->nb[2]; \
-    const uint32_t nb03 = src0->nb[3]; \
-                                       \
-    const uint32_t nb0 = dst->nb[0];   \
-    const uint32_t nb1 = dst->nb[1];   \
-    const uint32_t nb2 = dst->nb[2];   \
+#define htp_act_preamble                                 \
+    const struct htp_tensor * src0 = actx->octx->src[0]; \
+    const struct htp_tensor * src1 = actx->octx->src[1]; \
+    const struct htp_tensor * dst  = actx->octx->dst;    \
+                                                         \
+    const uint32_t ne00 = src0->ne[0];                   \
+    const uint32_t ne01 = src0->ne[1];                   \
+    const uint32_t ne02 = src0->ne[2];                   \
+    const uint32_t ne03 = src0->ne[3];                   \
+                                                         \
+    const uint32_t nb00 = src0->nb[0];                   \
+    const uint32_t nb01 = src0->nb[1];                   \
+    const uint32_t nb02 = src0->nb[2];                   \
+    const uint32_t nb03 = src0->nb[3];                   \
+                                                         \
+    const uint32_t ne10 = src1 ? src1->ne[0] : 0;        \
+    const uint32_t ne11 = src1 ? src1->ne[1] : 0;        \
+    const uint32_t ne12 = src1 ? src1->ne[2] : 0;        \
+    const uint32_t ne13 = src1 ? src1->ne[3] : 0;        \
+                                                         \
+    const uint32_t nb10 = src1 ? src1->nb[0] : 0;        \
+    const uint32_t nb11 = src1 ? src1->nb[1] : 0;        \
+    const uint32_t nb12 = src1 ? src1->nb[2] : 0;        \
+    const uint32_t nb13 = src1 ? src1->nb[3] : 0;        \
+                                                         \
+    const uint32_t ne0 = dst->ne[0];                     \
+    const uint32_t ne1 = dst->ne[1];                     \
+    const uint32_t ne2 = dst->ne[2];                     \
+    const uint32_t ne3 = dst->ne[3];                     \
+                                                         \
+    const uint32_t nb0 = dst->nb[0];                     \
+    const uint32_t nb1 = dst->nb[1];                     \
+    const uint32_t nb2 = dst->nb[2];                     \
     const uint32_t nb3 = dst->nb[3];
 
 struct htp_act_context {
@@ -97,10 +80,7 @@ struct htp_act_context {
 
 static void glu_swiglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     size_t src0_row_size = actx->src0_row_size;
     size_t src1_row_size = actx->src1_row_size;
@@ -207,10 +187,7 @@ static void glu_swiglu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 
 static void glu_swiglu_oai_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -332,9 +309,7 @@ static void glu_swiglu_oai_f32_per_thread(unsigned int nth, unsigned int ith, vo
 
 static void unary_gelu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble2;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -433,9 +408,7 @@ static void unary_gelu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 
 static void unary_silu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble2;
+    htp_act_preamble;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -533,10 +506,7 @@ static const float SQRT_2_OVER_PI  = 0.79788456080286535587989211986876f;
 
 static void glu_geglu_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_act_context * actx = (struct htp_act_context *) data;
-    const struct htp_tensor * src0 = &actx->octx->src0;
-    const struct htp_tensor * src1 = &actx->octx->src1;
-    const struct htp_tensor * dst  = &actx->octx->dst;
-    htp_act_preamble3;
+    htp_act_preamble;
 
     size_t src0_row_size = actx->src0_row_size;
     size_t src1_row_size = actx->src1_row_size;
@@ -652,9 +622,9 @@ static void glu_geglu_f32_per_thread(unsigned int nth, unsigned int ith, void *
 }
 
 static int execute_op_activations_f32(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     if (((src0->ne[0] * SIZEOF_FP32) != src0->nb[1]) || ((dst->ne[0] * SIZEOF_FP32) != dst->nb[1])) {
         FARF(ERROR, "Non-contiguous tensors are not supported at this time \n");
@@ -697,25 +667,20 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     size_t src0_row_size = src0->nb[1];
-    size_t src1_row_size = src1->nb[1]; // zero bytes if src1 is not used
+    size_t src1_row_size = src1 ? src1->nb[1] : src0->nb[1];
     size_t dst_row_size  = dst->nb[1];
 
-    const bool src1_valid = src1->ne[0];
-    if (!src1_valid) {
-        src1_row_size = src0_row_size;
-    }
-
     const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
     const size_t src1_row_size_aligned = hex_round_up(src1_row_size, VLEN);
     const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+
     // VTCM scratchpads for all tensors
     // N rows per thread, padded to HVX vector size
-
     size_t spad_size_per_row   = (src0_row_size_aligned + src1_row_size_aligned) + dst_row_size_aligned;
     size_t vtcm_row_per_thread = (octx->ctx->vtcm_size)/ (n_threads* spad_size_per_row);
 
     // Make sure the reserved vtcm size is sufficient
-    if(vtcm_row_per_thread ==0){
+    if (vtcm_row_per_thread == 0) {
         FARF(ERROR, "act-%s : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n", op_type, octx->ctx->vtcm_size,
              spad_size_per_row * n_threads);
         return HTP_STATUS_VTCM_TOO_SMALL;
@@ -733,7 +698,11 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
     octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
 
-    if (src1->ne[0]) {
+    octx->src0_spad.src = NULL;
+    octx->src1_spad.src = NULL;
+    octx->dst_spad.src  = NULL;
+
+    if (src1) {
         FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
              op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
              src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
@@ -773,9 +742,9 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
 
     // Pointers and GLU logic
     const uint8_t * data_src0 = (const uint8_t *) src0->data;
-    const uint8_t * data_src1 = (const uint8_t *) src1->data;
+    const uint8_t * data_src1 = src1 ? (const uint8_t *) src1->data : NULL;
 
-    if (!src1_valid && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_GEGLU)) {
+    if (!src1 && (octx->op == HTP_OP_GLU_SWIGLU || octx->op == HTP_OP_GLU_SWIGLU_OAI || octx->op == HTP_OP_GLU_GEGLU)) {
          const int32_t swapped = octx->op_params[1];
          data_src1 = data_src0;
          actx.src1_row_size = actx.src0_row_size;
@@ -799,7 +768,7 @@ static int execute_op_activations_f32(struct htp_ops_context * octx) {
 int op_activations(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_activations_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/argsort-ops.c b/ggml/src/ggml-hexagon/htp/argsort-ops.c
index 3ec26a4c1..bdd062361 100644
--- a/ggml/src/ggml-hexagon/htp/argsort-ops.c
+++ b/ggml/src/ggml-hexagon/htp/argsort-ops.c
@@ -12,7 +12,7 @@
 #include "hex-dma.h"
 
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 #ifndef MIN
@@ -175,8 +175,8 @@ static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
     struct htp_ops_context * octx = actx->octx;
 
     // Unpack context
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     // Scratchpad memory
     uint8_t * spad = octx->src0_spad.data + octx->src0_spad.size_per_thread * i;
@@ -249,16 +249,16 @@ static void htp_argsort_f32(unsigned int n, unsigned int i, void * data) {
 
 int op_argsort(struct htp_ops_context * octx) {
     // Check supported types
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t total_rows = octx->src0.ne[1] * octx->src0.ne[2] * octx->src0.ne[3];
+    const uint32_t total_rows = octx->src[0]->ne[1] * octx->src[0]->ne[2] * octx->src[0]->ne[3];
     const uint32_t n_threads = MIN(total_rows, octx->n_threads);
 
     // Allocate scratchpad
     // We need 1 row of float + 1 row of int32 per thread.
-    uint32_t ne00 = octx->src0.ne[0];
+    uint32_t ne00 = octx->src[0]->ne[0];
     size_t values_size  = hex_round_up(ne00 * sizeof(float), 128);
     size_t indices_size = hex_round_up(ne00 * sizeof(int32_t), 128);
     size_t spad_per_thread = values_size + indices_size;
@@ -278,9 +278,9 @@ int op_argsort(struct htp_ops_context * octx) {
     octx->src0_spad.size_per_thread = spad_per_thread;
 
     FARF(HIGH, "argsort: %ux%ux%ux%u -> %ux%ux%ux%u (0x%x, 0x%x)",
-         octx->src0.ne[0], octx->src0.ne[1], octx->src0.ne[2], octx->src0.ne[3],
-         octx->dst.ne[0], octx->dst.ne[1], octx->dst.ne[2], octx->dst.ne[3],
-         octx->src0.data, octx->dst.data);
+         octx->src[0]->ne[0], octx->src[0]->ne[1], octx->src[0]->ne[2], octx->src[0]->ne[3],
+         octx->dst->ne[0], octx->dst->ne[1], octx->dst->ne[2], octx->dst->ne[3],
+         octx->src[0]->data, octx->dst->data);
 
     struct htp_argsort_context actx;
     actx.octx = octx;
diff --git a/ggml/src/ggml-hexagon/htp/binary-ops.c b/ggml/src/ggml-hexagon/htp/binary-ops.c
index 1b0f97493..52013ad0f 100644
--- a/ggml/src/ggml-hexagon/htp/binary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/binary-ops.c
@@ -14,7 +14,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 #ifndef MIN
@@ -43,10 +43,10 @@ struct htp_binary_context {
     bool split_at_ne02;
 };
 
-#define htp_binary_preamble                       \
-    const struct htp_tensor * src0 = &octx->src0; \
-    const struct htp_tensor * src1 = &octx->src1; \
-    struct htp_tensor *       dst  = &octx->dst;  \
+#define htp_binary_preamble                        \
+    const struct htp_tensor * src0 = octx->src[0]; \
+    const struct htp_tensor * src1 = octx->src[1]; \
+    const struct htp_tensor * dst  = octx->dst;    \
                                        \
     const uint32_t ne00 = src0->ne[0]; \
     const uint32_t ne01 = src0->ne[1]; \
@@ -181,7 +181,7 @@ static void binary_job_scalar(unsigned int nth, unsigned int ith, void * data) {
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
@@ -274,7 +274,7 @@ static void binary_job_vector_same_shape(unsigned int nth, unsigned int ith, voi
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row = bctx->nrows_per_thread * ith;
@@ -374,7 +374,7 @@ static void binary_job_vector_row_broadcast(unsigned int nth, unsigned int ith,
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type  = octx->src0.type;
+    const uint32_t src0_type  = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row  = bctx->nrows_per_thread * ith;
@@ -455,7 +455,7 @@ static void binary_job_vector_complex(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t row_size_bytes = (src0_type == HTP_TYPE_F32) ? ne00 * sizeof(float) : ne00 * sizeof(_Float16);
     const uint32_t total_rows = ne01 * ne02 * ne03;
     const uint32_t start_row  = bctx->nrows_per_thread * ith;
@@ -540,7 +540,7 @@ static void binary_job_element_repeat(unsigned int nth, unsigned int ith, void *
     struct htp_ops_context * octx = bctx->octx;
     htp_binary_preamble;
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const uint32_t elem_size_bytes = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
     const uint32_t row_size_bytes = ne00 * elem_size_bytes;;
     const uint32_t total_rows = ne01 * ne02 * ne03;
@@ -629,10 +629,10 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
     struct htp_binary_context * bctx = (struct htp_binary_context *) data;
     struct htp_ops_context * octx = bctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     const uint32_t ne00 = src0->ne[0];
     const uint32_t ne01 = src0->ne[1];
@@ -723,15 +723,15 @@ static void binary_job_add_id(unsigned int nth, unsigned int ith, void * data) {
 }
 
 static int execute_op_binary(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
     // Use packed row sizes for VTCM allocation
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     const size_t elem_size = (src0_type == HTP_TYPE_F32) ? sizeof(float) : sizeof(_Float16);
     const size_t src0_row_size = src0->ne[0] * elem_size;
     const size_t src1_row_size = src1->ne[0] * elem_size;
@@ -799,9 +799,9 @@ static int execute_op_binary(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
     if ((octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
         return HTP_STATUS_OK;
@@ -857,12 +857,12 @@ static int execute_op_binary(struct htp_ops_context * octx) {
 int op_binary(struct htp_ops_context * octx) {
 
     // Does not support permutations of src1
-    const struct htp_tensor * src1 = &octx->src1;
+    const struct htp_tensor * src1 = octx->src[1];
     if (src1->nb[1] < src1->nb[0]) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    const uint32_t src0_type = octx->src0.type;
+    const uint32_t src0_type = octx->src[0]->type;
     if ((src0_type == HTP_TYPE_F32) || (src0_type == HTP_TYPE_F16)) {
         return execute_op_binary(octx);
     }
diff --git a/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake b/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake
index 7fa236e32..ed5c19846 100644
--- a/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake
+++ b/ggml/src/ggml-hexagon/htp/cmake-toolchain.cmake
@@ -138,15 +138,15 @@ set(CMAKE_SHARED_LIBRARY_SONAME_C_FLAG   "-Wl,-soname,")
 set(CMAKE_SHARED_LIBRARY_SONAME_CXX_FLAG "-Wl,-soname,")
 
 #Compiler Options
-set(COMMON_FLAGS "-mcpu=hexagon${V_ARCH} -m${V_ARCH} -mhvx=${V_ARCH} -fvectorize -Wall -Werror -fno-zero-initialized-in-bss -G0 -fdata-sections -fpic ${XQF_ARGS}")
+set(COMMON_FLAGS "-mcpu=hexagon${V_ARCH} -m${V_ARCH} -mhvx=${V_ARCH} -fvectorize -flto -Wall -Werror -fno-zero-initialized-in-bss -G0 -fdata-sections -fpic ${XQF_ARGS}")
 
 set(CMAKE_CXX_FLAGS_DEBUG          "${COMMON_FLAGS} -O0 -D_DEBUG -g")
-set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O3 -g")
-set(CMAKE_CXX_FLAGS_RELEASE        "${COMMON_FLAGS} -O3")
+set(CMAKE_CXX_FLAGS_RELWITHDEBINFO "${COMMON_FLAGS} -O2 -g")
+set(CMAKE_CXX_FLAGS_RELEASE        "${COMMON_FLAGS} -O2")
 
 set(CMAKE_C_FLAGS_DEBUG            "${COMMON_FLAGS} -O0 -D_DEBUG -g")
-set(CMAKE_C_FLAGS_RELWITHDEBINFO   "${COMMON_FLAGS} -O3 -g")
-set(CMAKE_C_FLAGS_RELEASE          "${COMMON_FLAGS} -O3")
+set(CMAKE_C_FLAGS_RELWITHDEBINFO   "${COMMON_FLAGS} -O2 -g")
+set(CMAKE_C_FLAGS_RELEASE          "${COMMON_FLAGS} -O2")
 
 set(CMAKE_ASM_FLAGS_DEBUG          "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG}")
 set(CMAKE_ASM_FLAGS_RELEASE        "${COMMON_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE}")
diff --git a/ggml/src/ggml-hexagon/htp/cpy-ops.c b/ggml/src/ggml-hexagon/htp/cpy-ops.c
index a40d866b9..e5b9d350f 100644
--- a/ggml/src/ggml-hexagon/htp/cpy-ops.c
+++ b/ggml/src/ggml-hexagon/htp/cpy-ops.c
@@ -11,7 +11,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
@@ -32,10 +32,10 @@ struct htp_copy_context {
     void (*copy)(struct htp_copy_context * ct, struct htp_ops_context * octx, int nth, int ith);
 };
 
-#define cpy_preamble                       \
-    struct htp_tensor *src0 = &octx->src0; \
-    struct htp_tensor *dst  = &octx->dst;  \
-                                           \
+#define cpy_preamble                              \
+    const struct htp_tensor *src0 = octx->src[0]; \
+    const struct htp_tensor *dst  = octx->dst;    \
+                                                  \
     const uint32_t ne00 = src0->ne[0];     \
     const uint32_t ne01 = src0->ne[1];     \
     const uint32_t ne02 = src0->ne[2];     \
diff --git a/ggml/src/ggml-hexagon/htp/cumsum-ops.c b/ggml/src/ggml-hexagon/htp/cumsum-ops.c
index ce51555a7..2ced19712 100644
--- a/ggml/src/ggml-hexagon/htp/cumsum-ops.c
+++ b/ggml/src/ggml-hexagon/htp/cumsum-ops.c
@@ -13,9 +13,9 @@
 #include "hvx-utils.h"
 #include "hex-dma.h"
 
-#define htp_cumsum_tensors_preamble                  \
-    struct htp_tensor * restrict src0 = &octx->src0; \
-    struct htp_tensor * restrict dst  = &octx->dst;  \
+#define htp_cumsum_tensors_preamble                         \
+    const struct htp_tensor * restrict src0 = octx->src[0]; \
+    const struct htp_tensor * restrict dst  = octx->dst;    \
                                                      \
     const uint32_t ne00 = src0->ne[0];               \
     const uint32_t ne01 = src0->ne[1];               \
@@ -206,8 +206,8 @@ static void cumsum_thread_f32(unsigned int nth, unsigned int ith, void * data) {
 }
 
 int op_cumsum_f32(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
 
     if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
         return HTP_STATUS_OK;
@@ -226,10 +226,12 @@ int op_cumsum_f32(struct htp_ops_context * octx) {
 
     octx->src0_spad.size_per_thread = src_row_size_aligned * 2;
     octx->dst_spad.size_per_thread  = dst_row_size_aligned * 2;
-    octx->src0_spad.size            = n_threads * octx->src0_spad.size_per_thread;
-    octx->dst_spad.size             = n_threads * octx->dst_spad.size_per_thread;
-    octx->src0_spad.data            = octx->ctx->vtcm_base;
-    octx->dst_spad.data             = octx->src0_spad.data + octx->src0_spad.size;
+
+    octx->src0_spad.size  = n_threads * octx->src0_spad.size_per_thread;
+    octx->dst_spad.size   = n_threads * octx->dst_spad.size_per_thread;
+
+    octx->src0_spad.data  = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->dst_spad.data   = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src  = NULL;
 
     struct htp_cumsum_context cctx = {
         .octx                 = octx,
@@ -251,8 +253,9 @@ int op_cumsum_f32(struct htp_ops_context * octx) {
 }
 
 int op_cumsum(struct htp_ops_context * octx) {
-    int                 err = HTP_STATUS_OK;
-    struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * dst = octx->dst;
+
+    int err = HTP_STATUS_OK;
 
     switch (dst->type) {
         case HTP_TYPE_F32:
diff --git a/ggml/src/ggml-hexagon/htp/diag-ops.c b/ggml/src/ggml-hexagon/htp/diag-ops.c
new file mode 100644
index 000000000..9b3194d90
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/diag-ops.c
@@ -0,0 +1,216 @@
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <HAP_farf.h>
+#include <HAP_perf.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+#include "hvx-types.h"
+#include "hex-utils.h"
+#include "hvx-copy.h"
+#include "hex-dma.h"
+
+#define htp_diag_tensors_preamble                           \
+    const struct htp_tensor * restrict src0 = octx->src[0]; \
+    const struct htp_tensor * restrict dst  = octx->dst;    \
+                                                     \
+    const uint32_t ne02 = src0->ne[2];               \
+                                                     \
+    const uint32_t ne0 = dst->ne[0];                 \
+    const uint32_t ne1 = dst->ne[1];                 \
+                                                     \
+    const uint32_t nb02 = src0->nb[2];               \
+    const uint32_t nb03 = src0->nb[3];               \
+                                                     \
+    const uint32_t nb1 = dst->nb[1];                 \
+    const uint32_t nb2 = dst->nb[2];                 \
+    const uint32_t nb3 = dst->nb[3];
+
+struct htp_diag_context {
+    struct htp_ops_context * octx;
+    size_t          src_batch_size;
+    size_t          dst_row_size;
+    size_t          src_batch_size_aligned;
+    size_t          dst_row_size_aligned;
+    uint32_t        batches_per_thread;
+    uint32_t        total_batches;
+};
+
+#define htp_diag_preamble                                              \
+    struct htp_diag_context * dctx = (struct htp_diag_context *) data; \
+    struct htp_ops_context *  octx = dctx->octx;                       \
+    htp_diag_tensors_preamble;
+
+static inline void hvx_diag_row_f32(const float * restrict src, float * restrict dst,
+                                    uint32_t row_idx, uint32_t n) {
+    hvx_splat_f32_a((uint8_t *) dst, 0.0f, n);
+    dst[row_idx] = src[row_idx];
+}
+
+// ---------------------------------------------------------------------------
+// Per thread worker: DMA src fetch, compute in VTCM, DMA dst writeback
+// ---------------------------------------------------------------------------
+
+static void diag_thread_f32_dma(unsigned int nth, unsigned int ith, void * data) {
+    htp_diag_preamble;
+    dma_queue * dma_queue = octx->ctx->dma[ith];
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const uint32_t ib0 = dctx->batches_per_thread * ith;
+    const uint32_t ib1 = MIN(ib0 + dctx->batches_per_thread, dctx->total_batches);
+
+    if (ib0 >= ib1) {
+        return;
+    }
+
+    const size_t src_batch_size         = dctx->src_batch_size;
+    const size_t dst_row_size           = dctx->dst_row_size;
+    const size_t src_batch_size_aligned = dctx->src_batch_size_aligned;
+    const size_t dst_row_size_aligned   = dctx->dst_row_size_aligned;
+
+    const uint8_t * src_data = (const uint8_t *) src0->data;
+    uint8_t *       dst_data = (uint8_t *) dst->data;
+
+    // 1 src buffer + 1 dst row buffer per thread in VTCM
+    uint8_t * src_spad = octx->src0_spad.data + (ith * src_batch_size_aligned);
+    uint8_t * dst_spad = octx->dst_spad.data  + (ith * dst_row_size_aligned);
+
+    for (uint32_t ib = ib0; ib < ib1; ib++) {
+        const uint32_t i3 = ib / ne02;
+        const uint32_t i2 = ib % ne02;
+
+        const uint8_t * src_batch = src_data + i3 * nb03 + i2 * nb02;
+
+        // Fetch source vector into VTCM
+        dma_queue_push_ddr_to_vtcm(dma_queue,
+                                   dma_make_ptr(src_spad, src_batch),
+                                   src_batch_size_aligned, src_batch_size, 1);
+        dma_queue_flush(dma_queue);
+
+        const float * src_spad_f32 = (const float *) src_spad;
+        float       * dst_spad_f32 = (float *) dst_spad;
+
+        for (uint32_t i1 = 0; i1 < ne1; i1++) {
+            // Compute row in VTCM
+            hvx_diag_row_f32(src_spad_f32, dst_spad_f32, i1, ne0);
+
+            // Write completed row back to DDR
+            uint8_t * dst_row = dst_data + i3 * nb3 + i2 * nb2 + i1 * nb1;
+            dma_queue_push_vtcm_to_ddr(dma_queue,
+                                       dma_make_ptr(dst_row, dst_spad),
+                                       dst_row_size, dst_row_size_aligned, 1);
+            dma_queue_flush(dma_queue);
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "diag-f32-dma %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ib0, ib1,
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+// ---------------------------------------------------------------------------
+// Per thread worker: Direct HVX (no DMA)
+// ---------------------------------------------------------------------------
+
+static void diag_thread_f32(unsigned int nth, unsigned int ith, void * data) {
+    htp_diag_preamble;
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    const uint8_t * src_data = (const uint8_t *) src0->data;
+    uint8_t *       dst_data = (uint8_t *) dst->data;
+
+    const uint32_t ib0 = dctx->batches_per_thread * ith;
+    const uint32_t ib1 = MIN(ib0 + dctx->batches_per_thread, dctx->total_batches);
+
+    for (uint32_t ib = ib0; ib < ib1; ib++) {
+        const uint32_t i3 = ib / ne02;
+        const uint32_t i2 = ib % ne02;
+
+        const float * restrict src_batch = (const float *)(src_data + i3 * nb03 + i2 * nb02);
+
+        for (uint32_t i1 = 0; i1 < ne1; i1++) {
+            float * restrict dst_row = (float *)(dst_data + i3 * nb3 + i2 * nb2 + i1 * nb1);
+            hvx_diag_row_f32(src_batch, dst_row, i1, ne0);
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "diag-f32 %d/%d: %ux%ux%ux%u (%u:%u) -> %ux%ux%ux%u usec %u\n",
+         ith, nth, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], ib0, ib1,
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+int op_diag_f32(struct htp_ops_context * octx) {
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
+
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    const uint32_t total_batches = src0->ne[2] * src0->ne[3];
+    const uint32_t n_threads     = MIN(octx->n_threads, total_batches);
+
+    const size_t src_batch_size         = src0->ne[0] * sizeof(float);
+    const size_t dst_row_size           = dst->ne[0] * sizeof(float);
+    const size_t src_batch_size_aligned = hex_round_up(src_batch_size, VLEN);
+    const size_t dst_row_size_aligned   = hex_round_up(dst_row_size, VLEN);
+
+    // 1 src buffer + 1 dst row buffer per thread
+    const size_t spad_per_thread = src_batch_size_aligned + dst_row_size_aligned;
+
+    octx->src0_spad.size_per_thread = src_batch_size_aligned;
+    octx->dst_spad.size_per_thread  = dst_row_size_aligned;
+
+    octx->src0_spad.size = n_threads * octx->src0_spad.size_per_thread;
+    octx->dst_spad.size  = n_threads * octx->dst_spad.size_per_thread;
+
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src  = NULL;
+
+    struct htp_diag_context dctx = {
+        .octx                   = octx,
+        .src_batch_size         = src_batch_size,
+        .dst_row_size           = dst_row_size,
+        .src_batch_size_aligned = src_batch_size_aligned,
+        .dst_row_size_aligned   = dst_row_size_aligned,
+        .batches_per_thread     = (total_batches + n_threads - 1) / n_threads,
+        .total_batches          = total_batches,
+    };
+
+    if (octx->ctx->vtcm_size < spad_per_thread * n_threads) {
+        worker_pool_run_func(octx->ctx->worker_pool, diag_thread_f32, &dctx, n_threads);
+    } else {
+        worker_pool_run_func(octx->ctx->worker_pool, diag_thread_f32_dma, &dctx, n_threads);
+    }
+
+    return HTP_STATUS_OK;
+}
+
+int op_diag(struct htp_ops_context * octx) {
+    const struct htp_tensor * dst = octx->dst;
+
+    int err = HTP_STATUS_OK;
+
+    switch (dst->type) {
+        case HTP_TYPE_F32:
+            err = op_diag_f32(octx);
+            break;
+        default:
+            err = HTP_STATUS_NO_SUPPORT;
+            break;
+    }
+
+    return err;
+}
diff --git a/ggml/src/ggml-hexagon/htp/fill-ops.c b/ggml/src/ggml-hexagon/htp/fill-ops.c
new file mode 100644
index 000000000..3ccfbe74e
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/fill-ops.c
@@ -0,0 +1,123 @@
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <HAP_farf.h>
+#include <HAP_perf.h>
+
+#include <string.h>
+
+#include "hvx-copy.h"
+#include "hvx-utils.h"
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+
+// ggml op_params layout for FILL:
+//   op_params[0] (as float) - the scalar fill value
+
+#define fill_preamble \
+    const struct htp_tensor * dst = octx->dst; \
+    \
+    const uint32_t ne0 = dst->ne[0]; \
+    const uint32_t ne1 = dst->ne[1]; \
+    const uint32_t ne2 = dst->ne[2]; \
+    const uint32_t ne3 = dst->ne[3]; \
+    \
+    const uint32_t nb1 = dst->nb[1]; \
+    const uint32_t nb2 = dst->nb[2]; \
+    const uint32_t nb3 = dst->nb[3]; \
+    \
+    const uint32_t nr = ne1 * ne2 * ne3;
+
+struct htp_fill_context {
+    struct htp_ops_context * octx;
+    uint32_t nrows_per_thread;
+    uint32_t total_rows;  // ne1 * ne2 * ne3
+    bool     opt_path;
+    HVX_Vector splat_vec;
+    uint32_t   elem_size;
+};
+
+static void fill_thread(unsigned int nth, unsigned int ith, void * data) {
+    const struct htp_fill_context * fctx = (const struct htp_fill_context *) data;
+    struct htp_ops_context        * octx = fctx->octx;
+    fill_preamble;
+
+    // Parallelise over the flat row index spanning ne1*ne2*ne3
+    const uint32_t ir0 = fctx->nrows_per_thread * ith;
+    const uint32_t ir1 = MIN(ir0 + fctx->nrows_per_thread, fctx->total_rows);
+
+    uint64_t t1 = HAP_perf_get_qtimer_count();
+
+    if (fctx->opt_path) {
+        // Opt path: tensor is fully contiguous, treat as flat array
+        const uint32_t elem_start = ir0 * ne0;
+        const uint32_t elem_end = ir1 * ne0;
+        uint8_t * dst_ptr = (uint8_t *) dst->data + elem_start * fctx->elem_size;
+        hvx_splat_u(dst_ptr, fctx->splat_vec, elem_end - elem_start, fctx->elem_size);
+    } else {
+        // Non-contiguous path: must respect strides
+        for (uint32_t ir = ir0; ir < ir1; ++ir) {
+            const uint32_t i1 = ir % ne1;
+            const uint32_t i2 = (ir / ne1) % ne2;
+            const uint32_t i3 = ir / (ne1 * ne2);
+            uint8_t * dst_ptr = (uint8_t *) dst->data + i1*nb1 + i2*nb2 + i3*nb3;
+            hvx_splat_u(dst_ptr, fctx->splat_vec, ne0, fctx->elem_size);
+        }
+    }
+
+    uint64_t t2 = HAP_perf_get_qtimer_count();
+    FARF(HIGH, "fill %u/%u: rows %u:%u usec %u\n",
+         ith, nth, ir0, ir1, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+int op_fill(struct htp_ops_context * octx) {
+    fill_preamble;
+
+    if (dst->type != HTP_TYPE_F32 && dst->type != HTP_TYPE_F16) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    // nr = ne1*ne2*ne3 (flat row count across all outer dims); parallelise over it.
+    const uint32_t n_threads = MIN(nr, octx->n_threads);
+
+    // Optimize if fully contiguous: skip stride arithmetic, treat as flat array
+    const bool opt_path = (nb2 == nb1 * ne1) && (nb3 == nb2 * ne2);
+
+    FARF(HIGH, "fill: (%ux%ux%ux%u) type=%u opt=%d\n",
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], dst->type, (int) opt_path);
+
+    float val_f32 = 0.f;
+    memcpy(&val_f32, &octx->op_params[0], sizeof(float));
+
+    struct htp_fill_context fctx = {
+        .octx             = octx,
+        .nrows_per_thread = (nr + n_threads - 1) / n_threads,
+        .total_rows       = nr,
+        .opt_path         = opt_path,
+    };
+
+    switch (dst->type) {
+    case HTP_TYPE_F32:
+        fctx.splat_vec = hvx_vec_splat_f32(val_f32);
+        fctx.elem_size = sizeof(float);
+        break;
+    case HTP_TYPE_F16:
+        fctx.splat_vec = hvx_vec_splat_f16((_Float16) val_f32);
+        fctx.elem_size = sizeof(_Float16);
+        break;
+    default:
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    worker_pool_run_func(octx->ctx->worker_pool, fill_thread, &fctx, n_threads);
+
+    return HTP_STATUS_OK;
+}
diff --git a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
index 0c9bc7856..d95df6ac9 100644
--- a/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
+++ b/ggml/src/ggml-hexagon/htp/flash-attn-ops.c
@@ -15,15 +15,16 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
 #include "htp-ops.h"
+#include "htp-ops.h"
+#include "hmx-ops.h"
 
 // Must be multiple of 32
 #define FLASH_ATTN_BLOCK_SIZE (32 * 2)
 
 // This is a bit of a hack because the compiler is strugling to properly inline
 // the default hvx_vec_f32_to_f16 with output into the local array.
-static void __attribute__((noinline)) hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1)
+static __attribute__((noinline)) void hvx_vec_f32_to_f16_a(void *ptr, HVX_Vector v0, HVX_Vector v1)
 {
     *(HVX_Vector *) ptr = hvx_vec_f32_to_f16(v0, v1);
 }
@@ -278,12 +279,12 @@ static inline void hvx_scale_vec_f32_aa(uint8_t * restrict dst, const uint8_t *
 static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void * data) {
     struct htp_fa_context * factx = (struct htp_fa_context *) data;
     const struct htp_ops_context * octx = factx->octx;
-    const struct htp_tensor * q = &octx->src0;
-    const struct htp_tensor * k = &octx->src1;
-    const struct htp_tensor * v = &octx->src2;
-    const struct htp_tensor * mask  = (octx->src3.data) ? &octx->src3 : NULL;
-    const struct htp_tensor * sinks = (octx->src4.data) ? &octx->src4 : NULL;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * q     = octx->src[0];
+    const struct htp_tensor * k     = octx->src[1];
+    const struct htp_tensor * v     = octx->src[2];
+    const struct htp_tensor * mask  = octx->src[3];
+    const struct htp_tensor * sinks = octx->src[4];
+    const struct htp_tensor * dst   = octx->dst;
 
     const uint32_t neq0 = q->ne[0];
     const uint32_t neq1 = q->ne[1];
@@ -610,17 +611,28 @@ static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void *
 }
 
 int op_flash_attn_ext(struct htp_ops_context * octx) {
-    const struct htp_tensor * q = &octx->src0;
-    const struct htp_tensor * k = &octx->src1;
-    const struct htp_tensor * v = &octx->src2;
-    const struct htp_tensor * mask = (octx->src3.data) ? &octx->src3 : NULL;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * q    = octx->src[0];
+    const struct htp_tensor * k    = octx->src[1];
+    const struct htp_tensor * v    = octx->src[2];
+    const struct htp_tensor * mask = octx->src[3];
+    const struct htp_tensor * dst  = octx->dst;
 
     // Check support
     if ((q->type != HTP_TYPE_F16 && q->type != HTP_TYPE_F32) || k->type != HTP_TYPE_F16 || v->type != HTP_TYPE_F16) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
+#ifdef HTP_HAS_HMX
+    // HMX path: prefill (neq1 >= 32), head_dim multiple of 32, F16 KV
+    if (k->type == HTP_TYPE_F16 && v->type == HTP_TYPE_F16 && k->ne[0] % 32 == 0 && q->ne[1] >= 32) {
+        int ret = hmx_flash_attn_ext(octx);
+        if (ret == HTP_STATUS_OK) {
+            return ret;
+        }
+        // VTCM too small or other failure -> fall through to HVX path
+    }
+#endif
+
     struct htp_fa_context factx;
     factx.octx = octx;
 
@@ -701,13 +713,11 @@ int op_flash_attn_ext(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size;
-    octx->src3_spad.data = octx->src2_spad.data + octx->src2_spad.size;
-    octx->dst_spad.data  = octx->src3_spad.data + octx->src3_spad.size;
-
-    // FARF(ERROR, "fa: qrows-per-thread %u", factx.qrows_per_thread);
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size; octx->src2_spad.src = NULL;
+    octx->src3_spad.data = octx->src2_spad.data + octx->src2_spad.size; octx->src3_spad.src = NULL;
+    octx->dst_spad.data  = octx->src3_spad.data + octx->src3_spad.size; octx->dst_spad.src  = NULL;
 
     if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
         worker_pool_run_func(octx->ctx->worker_pool, flash_attn_ext_f16_thread, &factx, octx->n_threads);
diff --git a/ggml/src/ggml-hexagon/htp/get-rows-ops.c b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
index 047d2850a..5a1dc9338 100644
--- a/ggml/src/ggml-hexagon/htp/get-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/get-rows-ops.c
@@ -11,7 +11,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
@@ -23,27 +23,33 @@ struct get_rows_context {
 };
 
 #define get_rows_preamble \
-    const uint32_t ne00 = octx->src0.ne[0]; \
-    const uint32_t ne01 = octx->src0.ne[1]; \
-    const uint32_t ne02 = octx->src0.ne[2]; \
-    const uint32_t ne03 = octx->src0.ne[3]; \
-                                            \
-    const uint32_t ne10 = octx->src1.ne[0]; \
-    const uint32_t ne11 = octx->src1.ne[1]; \
-    const uint32_t ne12 = octx->src1.ne[2]; \
-                                            \
-    const uint32_t nb01 = octx->src0.nb[1]; \
-    const uint32_t nb02 = octx->src0.nb[2]; \
-    const uint32_t nb03 = octx->src0.nb[3]; \
-                                            \
-    const uint32_t nb10 = octx->src1.nb[0]; \
-    const uint32_t nb11 = octx->src1.nb[1]; \
-    const uint32_t nb12 = octx->src1.nb[2]; \
-                                            \
-    const uint32_t nb1 = octx->dst.nb[1];   \
-    const uint32_t nb2 = octx->dst.nb[2];   \
-    const uint32_t nb3 = octx->dst.nb[3];   \
-                                            \
+    const uint32_t ne00 = octx->src[0]->ne[0]; \
+    const uint32_t ne01 = octx->src[0]->ne[1]; \
+    const uint32_t ne02 = octx->src[0]->ne[2]; \
+    const uint32_t ne03 = octx->src[0]->ne[3]; \
+                                               \
+    const uint32_t ne10 = octx->src[1]->ne[0]; \
+    const uint32_t ne11 = octx->src[1]->ne[1]; \
+    const uint32_t ne12 = octx->src[1]->ne[2]; \
+    const uint32_t ne13 = octx->src[1]->ne[3]; \
+                                               \
+    const uint32_t ne0 = octx->dst->ne[0];     \
+    const uint32_t ne1 = octx->dst->ne[1];     \
+    const uint32_t ne2 = octx->dst->ne[2];     \
+    const uint32_t ne3 = octx->dst->ne[3];     \
+                                               \
+    const uint32_t nb01 = octx->src[0]->nb[1]; \
+    const uint32_t nb02 = octx->src[0]->nb[2]; \
+    const uint32_t nb03 = octx->src[0]->nb[3]; \
+                                               \
+    const uint32_t nb10 = octx->src[1]->nb[0]; \
+    const uint32_t nb11 = octx->src[1]->nb[1]; \
+    const uint32_t nb12 = octx->src[1]->nb[2]; \
+                                               \
+    const uint32_t nb1 = octx->dst->nb[1];     \
+    const uint32_t nb2 = octx->dst->nb[2];     \
+    const uint32_t nb3 = octx->dst->nb[3];     \
+                                               \
     const uint32_t nr = ne10 * ne11 * ne12;
 
 static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *data) {
@@ -51,12 +57,14 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
     struct htp_ops_context * octx = grctx->octx;
     get_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by src1 elements (which correspond to dst rows)
     const uint32_t dr  = grctx->src1_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i = ir0; i < ir1; ++i) {
         const uint32_t i12 = fastdiv(i, &grctx->get_rows_div_ne10_ne11);
@@ -64,7 +72,7 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
         const uint32_t i11 = fastdiv(rem, &grctx->get_rows_div_ne10);
         const uint32_t i10 = rem - i11 * ne10;
 
-        const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+        const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
         uint32_t i01 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
 
@@ -73,10 +81,14 @@ static void get_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
             continue;
         }
 
-        const uintptr_t src0_ptr = octx->src0.data + i01*nb01 + i11*nb02 + i12*nb03;
-        const uintptr_t dst_ptr  = octx->dst.data  + i10*nb1  + i11*nb2  + i12*nb3;
+        const uintptr_t src0_ptr = octx->src[0]->data + i01*nb01 + i11*nb02 + i12*nb03;
+        const uintptr_t dst_ptr  = octx->dst->data    + i10*nb1  + i11*nb2  + i12*nb3;
         hvx_copy_f32_uu((uint8_t *)dst_ptr, (const uint8_t *)src0_ptr, ne00);
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "get-rows-f32-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 int op_get_rows(struct htp_ops_context * octx) {
@@ -84,15 +96,15 @@ int op_get_rows(struct htp_ops_context * octx) {
 
     const uint32_t n_threads = MIN(nr, octx->n_threads);
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->dst.type != HTP_TYPE_F32) {
+    if (octx->dst->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->src1.type != HTP_TYPE_I32 && octx->src1.type != HTP_TYPE_I64) {
+    if (octx->src[1]->type != HTP_TYPE_I32 && octx->src[1]->type != HTP_TYPE_I64) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
@@ -102,8 +114,8 @@ int op_get_rows(struct htp_ops_context * octx) {
 
     struct get_rows_context grctx;
     grctx.octx = octx;
-    grctx.get_rows_div_ne10      = init_fastdiv_values(octx->src1.ne[0]);
-    grctx.get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src1.ne[0] * octx->src1.ne[1]);
+    grctx.get_rows_div_ne10      = init_fastdiv_values(octx->src[1]->ne[0]);
+    grctx.get_rows_div_ne10_ne11 = init_fastdiv_values(octx->src[1]->ne[0] * octx->src[1]->ne[1]);
 
     grctx.src1_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
diff --git a/ggml/src/ggml-hexagon/htp/hex-utils.h b/ggml/src/ggml-hexagon/htp/hex-utils.h
index 8ed1456bc..6239ceff4 100644
--- a/ggml/src/ggml-hexagon/htp/hex-utils.h
+++ b/ggml/src/ggml-hexagon/htp/hex-utils.h
@@ -3,8 +3,11 @@
 
 #include <stdbool.h>
 #include <stdint.h>
+#include <qurt_memory.h>
+#include <qurt.h>
 
 #include "hexagon_types.h"
+#include "hexagon_protos.h"
 
 #include "hex-fastdiv.h"
 #include "hex-dump.h"
@@ -29,6 +32,14 @@ static inline uint64_t hex_get_pktcnt() {
     return pktcnt;
 }
 
+static inline uint32_t hex_ceil_pow2(uint32_t x) {
+    if (x <= 1) { return 1; }
+    int p = 2;
+    x--;
+    while (x >>= 1) { p <<= 1; }
+    return p;
+}
+
 static inline size_t hmx_ceil_div(size_t num, size_t den) {
     return (num + den - 1) / den;
 }
@@ -63,9 +74,64 @@ static inline size_t hex_smax(size_t a, size_t b) {
     return a > b ? a : b;
 }
 
+static inline void hex_swap_ptr(void ** p1, void ** p2) {
+    void * t = *p1;
+    *p1      = *p2;
+    *p2      = t;
+}
+
 static inline void hex_l2fetch(const void * p, uint32_t width, uint32_t stride, uint32_t height) {
     const uint64_t control = Q6_P_combine_RR(stride, Q6_R_combine_RlRl(width, height));
     Q6_l2fetch_AP((void *) p, control);
 }
 
+#define HEX_L2_LINE_SIZE  64
+#define HEX_L2_FLUSH_SIZE (128 * 1024)
+
+static inline void hex_l2flush(void * addr, size_t size) {
+    if (size > HEX_L2_FLUSH_SIZE) {
+        qurt_mem_cache_clean((qurt_addr_t) 0, 0, QURT_MEM_CACHE_FLUSH_INVALIDATE_ALL, QURT_MEM_DCACHE);
+    } else {
+        const uint32_t s = (uint32_t) addr;
+        const uint32_t e = s + size;
+        for (uint32_t i = s; i < e; i += HEX_L2_LINE_SIZE * 4) {
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 0);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 1);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 2);
+            Q6_dccleaninva_A((void *) i + HEX_L2_LINE_SIZE * 3);
+        }
+    }
+}
+
+static inline void hex_pause() {
+    asm volatile(" pause(#255)\n");
+}
+
+#ifndef HEX_NUM_PMU_COUNTERS
+#define HEX_NUM_PMU_COUNTERS 8
+#endif
+
+static inline void hex_get_pmu(uint32_t counters[]) {
+#if __HVX_ARCH__ >= 79
+    asm volatile("%0 = upmucnt0" : "=r"(counters[0]));
+    asm volatile("%0 = upmucnt1" : "=r"(counters[1]));
+    asm volatile("%0 = upmucnt2" : "=r"(counters[2]));
+    asm volatile("%0 = upmucnt3" : "=r"(counters[3]));
+    asm volatile("%0 = upmucnt4" : "=r"(counters[4]));
+    asm volatile("%0 = upmucnt5" : "=r"(counters[5]));
+    asm volatile("%0 = upmucnt6" : "=r"(counters[6]));
+    asm volatile("%0 = upmucnt7" : "=r"(counters[7]));
+#else
+    counters[0] = qurt_pmu_get(QURT_PMUCNT0);
+    counters[1] = qurt_pmu_get(QURT_PMUCNT1);
+    counters[2] = qurt_pmu_get(QURT_PMUCNT2);
+    counters[3] = qurt_pmu_get(QURT_PMUCNT3);
+    counters[4] = qurt_pmu_get(QURT_PMUCNT4);
+    counters[5] = qurt_pmu_get(QURT_PMUCNT5);
+    counters[6] = qurt_pmu_get(QURT_PMUCNT6);
+    counters[7] = qurt_pmu_get(QURT_PMUCNT7);
+    // qurt_pmu_get_pmucnt(counters);
+#endif
+}
+
 #endif /* HEX_UTILS_H */
diff --git a/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c b/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c
new file mode 100644
index 000000000..8a6d7c14e
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-flash-attn-ops.c
@@ -0,0 +1,1840 @@
+// HMX-accelerated Flash Attention for prefill (neq1 >= 32).
+// Ported from htp-ops-lib/src/dsp/ops/flash_attn.c, adapted to the htp/ codebase.
+
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <assert.h>
+#include <HAP_compute_res.h>
+#include <HAP_farf.h>
+#include <math.h>
+#include <stdbool.h>
+#include <stddef.h>
+#include <stdint.h>
+#include <string.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "hex-dma.h"
+#include "hmx-profile.h"
+#include "hmx-queue.h"
+#include "hmx-utils.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+#include "hvx-dump.h"
+#include "hvx-reduce.h"
+#include "hvx-utils.h"
+#include "vtcm-utils.h"
+#include "worker-pool.h"
+
+// ============================================================================
+// Constants
+// ============================================================================
+
+// Tile constants from hmx-utils.h
+// HMX_FP16_TILE_N_ROWS  = 32
+// HMX_FP16_TILE_N_COLS  = 32
+// HMX_FP16_TILE_N_ELMS  = 1024
+// HMX_FP16_TILE_SIZE    = 2048
+
+// ============================================================================
+// Dynamic block size computation (GQA-aware)
+// ============================================================================
+
+// Exact VTCM usage for a given (gqa_factor, DK, DV, Br, Bc) configuration.
+// g_br = hex_align_up(gqa_factor * Br, 32) replaces Br for all Q/O/S/P/D dimensions.
+// Layout: Q + O_ping + O_pong + K_dma*2 + V_dma*2 + K_tile + V_tile + S + P + D + vectors + scales
+// Mask is DMA'd into a VTCM buffer (Br rows per KV block) to avoid DDR reads in softmax.
+static size_t hmx_fa_compute_vtcm_usage(size_t gqa_factor, size_t DK, size_t DV, size_t Br, size_t Bc, size_t n_threads) {
+    const size_t g_br         = hex_align_up(gqa_factor * Br, HMX_FP16_TILE_N_ROWS);
+    const size_t q_tile_size  = hex_align_up(g_br * DK * sizeof(__fp16), 4096);    // Q:  [g_br, DK]
+    const size_t o_tile_size  = hex_align_up(g_br * DV * sizeof(__fp16), 4096);    // O:  [g_br, DV] x2 ping-pong
+    const size_t k_dma_size   = hex_align_up(Bc * DK * sizeof(__fp16), 4096);      // K DMA: [Bc, DK] x2 double-buf
+    const size_t v_dma_size   = hex_align_up(Bc * DV * sizeof(__fp16), 4096);      // V DMA: [Bc, DV] x2 double-buf
+    const size_t k_tile_size  = hex_align_up(Bc * DK * sizeof(__fp16), 4096);      // K tiles: [Bc, DK] interleaved
+    const size_t v_tile_size  = hex_align_up(Bc * DV * sizeof(__fp16), 4096);      // V tiles: [Bc, DV] interleaved
+    const size_t s_tile_size  = hex_align_up(g_br * Bc * sizeof(__fp16), 4096);    // S/P:[g_br, Bc]
+    const size_t d_tile_size  = hex_align_up(g_br * g_br * sizeof(__fp16), 4096);  // D:  [g_br, g_br]
+    const size_t col_vec_size = hex_align_up(g_br * sizeof(__fp16), 256);          // m, l, etc.
+    const size_t row_vec_size = hex_align_up(Bc * sizeof(__fp16), 256);
+    const size_t m_line_size  = hex_align_up(Bc * sizeof(__fp16), 128);
+    const size_t m_buf_size   = hex_align_up(Br * m_line_size, 4096);
+    const size_t slopes_size  = hex_align_up(g_br * sizeof(__fp16), 128);
+
+    return   q_tile_size * 1               // Q tiles
+           + o_tile_size * 2               // O ping-pong
+           + k_dma_size  * 2               // K DMA x2
+           + v_dma_size  * 2               // V DMA x2
+           + k_tile_size * 1               // K tiles
+           + v_tile_size * 1               // V tiles
+           + s_tile_size * 2               // S + P
+           + d_tile_size * 1               // D (diagonal matrix)
+           + col_vec_size * 4              // m_vec, l_vec, s_rowmax, p_rowsum
+           + row_vec_size * 2 * n_threads  // per-thread softmax row scratch
+           + m_buf_size * 1                // mask VTCM buffer [Br rows]
+           + slopes_size                   // Slopes
+           + 256 * 2;                      // HMX scales (id + qk)
+}
+
+// ============================================================================
+// FP16 exp2 polynomial (ported from htp-ops-lib/include/dsp/hvx_math.h)
+// ============================================================================
+// 5th-order Horner polynomial for exp2(x) in qf16/hf16 domain.  Input must be
+// ≤ 0 (safe softmax invariant — overflow handling omitted).  ~18 ALU ops per
+// 64 fp16 lanes, fully parallel across HVX threads (no scatter/gather engine).
+// Replaces the F32 round-trip (qf16→f32→exp→f32→f16, ~44 ops for 2×32 lanes).
+static inline HVX_Vector hvx_exp2_hf(HVX_Vector x_v) {
+    const HVX_Vector zero_v    = Q6_V_vzero();
+    const HVX_Vector half_hf_v = Q6_Vh_vsplat_R(0x3800);  // fp16 0.5
+
+    // k = round_toward_neg_inf(x);  f = (float)k;  frac = x - f
+    HVX_Vector x_minus_half = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vsub_VhfVhf(x_v, half_hf_v));
+    HVX_Vector k_v          = Q6_Vh_equals_Vhf(x_minus_half);  // truncate to int16
+    HVX_Vector f_v          = Q6_Vhf_equals_Vh(k_v);           // back to fp16
+
+    HVX_Vector x_qf16 = Q6_Vqf16_vsub_VhfVhf(x_v, f_v);        // fractional part in qf16
+
+    // Horner: y = ((((E5*x + E4)*x + E3)*x + E2)*x + E1)*x + E0
+    HVX_Vector y = Q6_Vqf16_vmpy_Vqf16Vqf16(Q6_Vh_vsplat_R(0x5082), x_qf16); // E5*x
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x157d));        // + E4
+    y            = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x20ed));        // + E3
+    y            = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x2b1b));        // + E2
+    y            = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x33b0));        // + E1
+    y            = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x398c));        // + E0
+    y            = Q6_Vqf16_vmpy_Vqf16Vqf16(y, x_qf16);                      // y = y * x
+    y            = Q6_Vqf16_vadd_Vqf16Vhf(y, Q6_Vh_vsplat_R(0x3c00));        // + 1.0
+
+    // Combine polynomial (mantissa) with integer part (exponent): result = y * 2^k
+    y                          = Q6_Vhf_equals_Vqf16(y);
+    HVX_Vector y_exp           = Q6_Vuh_vlsr_VuhR(Q6_Vh_vasl_VhR(y, 1), 11);
+    y_exp                      = Q6_Vh_vadd_VhVh(k_v, y_exp);
+    HVX_VectorPred q_underflow = Q6_Q_vcmp_gt_VhVh(zero_v, y_exp);
+    y                          = Q6_Vh_vaslacc_VhVhR(y, k_v, 10);
+    return Q6_V_vmux_QVV(q_underflow, zero_v, y);
+}
+
+#define FA_MIN_KV_BLOCKS 3
+
+// Cost-based (Br, Bc) search for flash attention with pipeline constraint.
+//
+// VTCM model (same as before):
+//   overhead + g_br * per_gbr + g_br² * per_gbr2 + Bc * per_bc + g_br * Bc * per_gbr_bc
+//
+// Cost model (minimization objective):
+//   Q * (c_q_fixed + K * c_iter_fixed),  where Q = ceil(qo/Br), K = ceil(kv/Bc)
+static int hmx_fa_find_chunk_size(size_t * Br_out,
+                                  size_t * Bc_out,
+                                  size_t   gqa_factor,
+                                  size_t   DK,
+                                  size_t   DV,
+                                  size_t   qo_len,
+                                  size_t   kv_len,
+                                  size_t   vtcm_budget,
+                                  size_t   n_threads) {
+    const size_t T       = HMX_FP16_TILE_N_ROWS;  // 32
+    const size_t br_unit = hmx_ceil_div(T, gqa_factor);
+    // Bc must be a multiple of 64 so that n_tiles_per_bc is even.  The softmax
+    // P-tile write uses a dual-tile pattern (vshuff + two stores 16 slots apart)
+    // that would race across r0 blocks if the last dual-tile is half-occupied.
+    // See .cursor/todos/hmx-flash-attn-bc-search-space.md for the perf trade-off.
+    const size_t bc_unit = HMX_FP16_TILE_N_COLS * 2;  // 64
+    const size_t fp16    = sizeof(__fp16);
+
+    // Approximate per-unit VTCM costs (without per-buffer alignment padding).
+    const size_t per_gbr  = (DK + 2 * DV) * fp16 + 4 * fp16;  // Q + O×2 + 4 col vectors
+    const size_t per_gbr2 = fp16;                             // D diagonal matrix
+    const size_t per_bc =
+        3 * (DK + DV) * fp16 + 2 * n_threads * fp16;          // K_dma×2 + V_dma×2 + K_tile + V_tile + row bufs
+    const size_t per_gbr_bc = 2 * fp16;                       // S + P
+
+    const size_t overhead = 256 * 2 + 13 * 4096;
+
+    if (vtcm_budget <= overhead) {
+        return -1;
+    }
+    const size_t usable = vtcm_budget - overhead;
+
+    // Br_max: largest Br aligned to br_unit that does not exceed qo_len.
+    const size_t Br_max = qo_len >= br_unit ? hex_align_down(qo_len, br_unit) : br_unit;
+
+    // Pipeline constraint: cap Bc so n_kv_blocks >= FA_MIN_KV_BLOCKS.
+    // Only relax when kv_len is too short to form enough blocks.
+    const bool   can_pipeline = (kv_len >= FA_MIN_KV_BLOCKS * bc_unit && n_threads >= 2);
+    const size_t Bc_limit     = can_pipeline ? hex_align_down(kv_len / FA_MIN_KV_BLOCKS, bc_unit) :
+                                               (kv_len >= bc_unit ? hex_align_down(kv_len, bc_unit) : bc_unit);
+    // Cost coefficients calibrated from profiling
+    const size_t c_q_fixed    = 1400;  // per-Q-block: q_load + epilogue o_update + o_norm + o_store
+    const size_t c_iter_fixed = 200;   // per-KV-iter: HMX queue push/pop + DMA pop + barriers
+
+    size_t best_cost = SIZE_MAX, best_mn = 0;
+    size_t best_Br = 0, best_Bc = 0;
+
+    for (size_t Br = Br_max; Br >= br_unit; Br -= br_unit) {
+        const size_t g_br = hex_align_up(gqa_factor * Br, T);
+
+        // g_br-dependent VTCM cost: g_br * per_gbr + g_br² * per_gbr2
+        const size_t gbr_cost = g_br * per_gbr + g_br * g_br * per_gbr2;
+        if (gbr_cost >= usable) {
+            if (Br == br_unit) {
+                break;
+            }
+            continue;
+        }
+
+        // Analytically solve for max Bc:
+        //   remain >= Bc * (per_bc + g_br * per_gbr_bc + Br * fp16_mask)
+        // The Br * fp16 term accounts for the VTCM mask buffer [Br × Bc].
+        const size_t remain   = usable - gbr_cost;
+        const size_t bc_denom = per_bc + g_br * per_gbr_bc + Br * fp16;
+        size_t       Bc       = hex_smin(hex_align_down(remain / bc_denom, bc_unit), Bc_limit);
+        if (Bc < bc_unit) {
+            if (Br == br_unit) {
+                break;
+            }
+            continue;
+        }
+
+        // Exact VTCM verification (alignment padding may push over budget)
+        while (Bc >= bc_unit && hmx_fa_compute_vtcm_usage(gqa_factor, DK, DV, Br, Bc, n_threads) > vtcm_budget) {
+            Bc -= bc_unit;
+        }
+        if (Bc < bc_unit) {
+            if (Br == br_unit) {
+                break;
+            }
+            continue;
+        }
+
+        const size_t q_blocks  = (qo_len + Br - 1) / Br;
+        const size_t kv_blocks = (kv_len + Bc - 1) / Bc;
+        const size_t cost      = q_blocks * (c_q_fixed + kv_blocks * c_iter_fixed);
+        const size_t mn        = Br * Bc;
+
+        if (cost < best_cost || (cost == best_cost && mn > best_mn)) {
+            best_cost = cost;
+            best_mn   = mn;
+            best_Br   = Br;
+            best_Bc   = Bc;
+        }
+
+        if (Br == br_unit) {
+            break;
+        }
+    }
+
+    if (best_Br == 0) {
+        return -1;
+    }
+
+    *Br_out = best_Br;
+    *Bc_out = best_Bc;
+    return 0;
+}
+
+// ============================================================================
+// Tile interleave / extract helpers
+// ============================================================================
+
+// transpose scatter offsets moved to hmx-utils.h as hmx_transpose_scatter_offsets
+
+// Scatter offsets for diagonal tile: entry[2i] = i*136, entry[2i+1] = i*136+6
+// 136 = 4 * 32 + 8 = byte offset to diagonal in a 32x32 fp16 interleaved tile
+static const int16_t d_tile_scatter_offsets[64] __attribute__((aligned(128))) = {
+    0 * 136,  0 * 136 + 6,
+    1 * 136,  1 * 136 + 6,
+    2 * 136,  2 * 136 + 6,
+    3 * 136,  3 * 136 + 6,
+    4 * 136,  4 * 136 + 6,
+    5 * 136,  5 * 136 + 6,
+    6 * 136,  6 * 136 + 6,
+    7 * 136,  7 * 136 + 6,
+    8 * 136,  8 * 136 + 6,
+    9 * 136,  9 * 136 + 6,
+    10 * 136, 10 * 136 + 6,
+    11 * 136, 11 * 136 + 6,
+    12 * 136, 12 * 136 + 6,
+    13 * 136, 13 * 136 + 6,
+    14 * 136, 14 * 136 + 6,
+    15 * 136, 15 * 136 + 6,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+    0,        0,
+};
+
+// hmx_interleave_rows_to_tiles and hmx_interleave_cols_to_tiles are in hmx-utils.h
+
+// ============================================================================
+// HMX Flash Attention context (GQA-merged)
+// ============================================================================
+
+struct hmx_fa_context {
+    const struct htp_ops_context * octx;
+    bool         use_pipeline;  // true when n_kv_blocks >= FA_MIN_KV_BLOCKS && n_threads >= 2
+    uint32_t     n_threads;
+
+    // Op parameters
+    float        scale;
+    float        max_bias;
+    float        logit_softcap;
+    uint32_t     n_head_log2;
+    float        m0, m1;
+
+    // Dimensions
+    uint32_t     DK, DV;
+    uint32_t     n_kv;        // kv_len
+    uint32_t     n_kv_heads;  // number of KV heads
+    uint32_t     n_heads;     // number of Q heads
+    uint32_t     G;           // GQA factor = n_heads / n_kv_heads
+    uint32_t     n_kv_blocks;
+    uint32_t     neq1;        // Q token count
+
+    // Types
+    bool         is_q_fp32;
+    bool         is_dst_fp32;
+
+    // Dynamic block sizes
+    uint32_t     Br;    // Q tokens per block (before GQA expansion)
+    uint32_t     Bc;
+    uint32_t     g_br;  // hex_align_up(G * Br, 32) - actual tile row dim
+
+    // VTCM buffers (allocated by vtcm_seq_alloc)
+    __fp16 *     vtcm_q_tiles;         // Q tile format [g_br, D]
+    __fp16 *     vtcm_o_tiles[2];      // O ping-pong [g_br, D]
+    __fp16 *     vtcm_k_fp16[2];       // K DMA double-buffer [Bc, D]
+    __fp16 *     vtcm_v_fp16[2];       // V DMA double-buffer [Bc, D]
+    __fp16 *     vtcm_k_tiles;         // K tiles (transposed)
+    __fp16 *     vtcm_v_tiles;         // V tiles (column-major)
+    __fp16 *     vtcm_s_tiles;         // S = QK^T [g_br, Bc]
+    __fp16 *     vtcm_p_tiles;         // P = softmax(S) [g_br, Bc]
+    __fp16 *     vtcm_d_tiles;         // Diagonal rescale [g_br, g_br]
+    HVX_Vector * vtcm_m_vec;           // Row max [g_br]
+    HVX_Vector * vtcm_l_vec;           // Row sum [g_br]
+    HVX_Vector * vtcm_s_rowmax;        // Softmax intermediate [g_br]
+    HVX_Vector * vtcm_p_rowsum;        // Softmax intermediate [g_br]
+    HVX_Vector * vtcm_row_bufs;        // Per-thread softmax row scratch [n_threads][2][Bc/64]
+    uint8_t *    vtcm_hmx_scales_id;   // HMX output scales (identity)
+    uint8_t *    vtcm_hmx_scales_qk;   // HMX output scales (qk_scale)
+    __fp16 *     vtcm_mask_buf;        // VTCM mask buffer [Br × m_line], DMA'd per KV block
+    __fp16 *     vtcm_slopes;          // ALiBi slopes [g_br]
+    size_t       row_buf_stride;       // HVX vectors per row buffer (Bc/64)
+    size_t       mask_buf_row_stride;  // elements (__fp16) per row in mask buffer
+    bool         mask_broadcast;       // true when mask->ne[2] == 1 (head-independent, single 2D DMA)
+};
+
+// ============================================================================
+// Multi-thread K interleave phase
+// ============================================================================
+
+typedef struct {
+    struct hmx_fa_context * factx;
+    int                     kv_rows;
+    size_t                  src_stride;
+    size_t                  buf_idx;
+} fa_k_int_args_t;
+
+static void fa_k_interleave_thread(unsigned int n, unsigned int i, void * data) {
+    fa_k_int_args_t *       args  = (fa_k_int_args_t *) data;
+    struct hmx_fa_context * factx = args->factx;
+
+    const int total_rows = args->kv_rows;
+    const int rows_per_t = hex_align_up(hmx_ceil_div(total_rows, n), 2);  // ensure even (row pairs)
+    const int start      = i * rows_per_t;
+    const int end        = hex_smin(start + rows_per_t, total_rows);
+
+    if (start >= total_rows) {
+        return;
+    }
+
+    hmx_interleave_rows_to_tiles(factx->vtcm_k_tiles, factx->vtcm_k_fp16[args->buf_idx], total_rows, (int) factx->DK,
+                             (int) args->src_stride, start, end);
+}
+
+static void fa_phase_k_interleave(struct hmx_fa_context * factx, int kv_rows, size_t src_stride, size_t buf_idx) {
+    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
+    fa_k_int_args_t args = { factx, kv_rows, src_stride, buf_idx };
+    if (factx->n_threads > 1 && kv_rows >= (int) (factx->n_threads * 2)) {
+        worker_pool_run_func(wp, fa_k_interleave_thread, &args, factx->n_threads);
+    } else {
+        fa_k_interleave_thread(1, 0, &args);
+    }
+}
+
+// ============================================================================
+// Multi-thread V interleave phase
+// ============================================================================
+
+typedef struct {
+    struct hmx_fa_context * factx;
+    int                     kv_rows;
+    size_t                  src_stride;
+    size_t                  buf_idx;
+    size_t                  n_col_tiles;
+} fa_v_int_args_t;
+
+static void fa_v_interleave_thread(unsigned int n, unsigned int i, void * data) {
+    fa_v_int_args_t *       args  = (fa_v_int_args_t *) data;
+    struct hmx_fa_context * factx = args->factx;
+
+    const int total_rows = args->kv_rows;
+    const int rows_per_t = hex_align_up(hmx_ceil_div(total_rows, n), 2);
+    const int start      = i * rows_per_t;
+    const int end        = hex_smin(start + rows_per_t, total_rows);
+
+    if (start >= total_rows) {
+        return;
+    }
+
+    hmx_interleave_cols_to_tiles(factx->vtcm_v_tiles, factx->vtcm_v_fp16[args->buf_idx], total_rows, (int) factx->DV,
+                             (int) args->src_stride, (int) args->n_col_tiles, start, end);
+}
+
+static void fa_phase_v_interleave(struct hmx_fa_context * factx,
+                                  int                     kv_rows,
+                                  size_t                  src_stride,
+                                  size_t                  buf_idx,
+                                  size_t                  n_col_tiles) {
+    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
+    fa_v_int_args_t args = { factx, kv_rows, src_stride, buf_idx, n_col_tiles };
+    if (factx->n_threads > 1 && kv_rows >= (int) (factx->n_threads * 2)) {
+        worker_pool_run_func(wp, fa_v_interleave_thread, &args, factx->n_threads);
+    } else {
+        fa_v_interleave_thread(1, 0, &args);
+    }
+}
+
+// ============================================================================
+// Multi-thread Q load phase: read Q[G × neq1, DK] from DDR, convert F32→F16
+// (or deal F16 pairs), and write interleaved into vtcm_q_tiles.
+// Each thread owns a disjoint range of row pairs; writes target distinct tile
+// slots (r0 selects tile row, r1 selects intra-tile slot), so there is no
+// write conflict.  Padding fill (when n_rows_g < g_br) is done single-threaded
+// by the caller before dispatching.
+// ============================================================================
+
+typedef struct {
+    struct hmx_fa_context *   factx;
+    const struct htp_tensor * q;
+    uint32_t                  q_start;
+    uint32_t                  kv_head;
+    uint32_t                  ib3;
+    size_t                    n_rows_g;
+} fa_q_load_args_t;
+
+static void fa_q_load_thread(unsigned int n, unsigned int i, void * data) {
+    fa_q_load_args_t *      args  = (fa_q_load_args_t *) data;
+    struct hmx_fa_context * factx = args->factx;
+
+    const size_t n_rows_g = args->n_rows_g;
+    const size_t G        = factx->G;
+    const size_t DK       = factx->DK;
+
+    // Partition row pairs across threads.  Keep each thread's start even so r/r+1
+    // are always in the same thread's range.
+    const size_t rows_per_t = hex_align_up(hmx_ceil_div(n_rows_g, n), 2);
+    const size_t start      = (size_t) i * rows_per_t;
+    const size_t end        = hex_smin(start + rows_per_t, n_rows_g);
+
+    if (start >= n_rows_g) {
+        return;
+    }
+
+    const struct htp_tensor * q       = args->q;
+    const uint32_t            q_start = args->q_start;
+    const uint32_t            kv_head = args->kv_head;
+    const uint32_t            ib3     = args->ib3;
+
+    for (size_t r = start; r < end; r += 2) {
+        const bool next_row_valid = (r + 1) < n_rows_g;
+
+        const size_t q_idx0 = (r + 0) / G;
+        const size_t h_idx0 = (r + 0) % G;
+        const size_t q_idx1 = (r + 1) / G;
+        const size_t h_idx1 = (r + 1) % G;
+
+        const uint8_t * q_ptr0 = (const uint8_t *) q->data + (q_start + q_idx0) * q->nb[1] +
+                                                  (kv_head * G + h_idx0) * q->nb[2] + ib3 * q->nb[3];
+        const uint8_t * q_ptr1 = next_row_valid ? ((const uint8_t *) q->data + (q_start + q_idx1) * q->nb[1] +
+                                                  (kv_head * G + h_idx1) * q->nb[2] + ib3 * q->nb[3]) :
+                                                  NULL;
+
+        size_t   r0       = r / HMX_FP16_TILE_N_ROWS;
+        size_t   r1       = r % HMX_FP16_TILE_N_ROWS;
+        __fp16 * out_base = factx->vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;
+
+        if (factx->is_q_fp32) {
+            const HVX_Vector * pv_in0 = (const HVX_Vector *) q_ptr0;
+            const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL;
+
+            for (uint32_t d = 0; d < DK / 32; ++d) {
+                HVX_Vector v0   = pv_in0[d];
+                HVX_Vector v1   = pv_in1 ? pv_in1[d] : Q6_V_vzero();
+                HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);
+
+                HVX_Vector * out_tile = (HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS);
+                out_tile[r1 / 2]      = v_hf;
+            }
+        } else {
+            const HVX_Vector * pv_in0 = (const HVX_Vector *) q_ptr0;
+            const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL;
+
+            for (uint32_t d = 0; d < DK / 64; ++d) {
+                HVX_Vector     v0 = pv_in0[d];
+                HVX_Vector     v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
+                HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);
+
+                __fp16 *     out_dual_tile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
+                HVX_Vector * pv_out0       = ((HVX_Vector *) out_dual_tile) + r1 / 2;
+                HVX_Vector * pv_out1       = pv_out0 + 16;
+
+                *pv_out0 = Q6_V_lo_W(vp);
+                *pv_out1 = Q6_V_hi_W(vp);
+            }
+        }
+    }
+}
+
+static void fa_phase_q_load(struct hmx_fa_context *   factx,
+                            const struct htp_tensor * q,
+                            uint32_t                  q_start,
+                            uint32_t                  kv_head,
+                            uint32_t                  ib3,
+                            size_t                    n_rows_g) {
+    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
+    fa_q_load_args_t args = { factx, q, q_start, kv_head, ib3, n_rows_g };
+    // Require >= 2 row pairs per thread so partitioning is worthwhile.
+    if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) {
+        worker_pool_run_func(wp, fa_q_load_thread, &args, factx->n_threads);
+    } else {
+        fa_q_load_thread(1, 0, &args);
+    }
+}
+
+// ============================================================================
+// Multi-thread O store phase: read O tiles from VTCM, convert F16->F32 (or
+// deal F16 pairs), and write to strided DDR dst tensor.  Each thread owns a
+// disjoint row range; writes target distinct dst rows (different q_idx/h_idx
+// pairs produced by r/G and r%G), so there is no write conflict.
+// ============================================================================
+
+typedef struct {
+    struct hmx_fa_context *   factx;
+    const struct htp_tensor * dst;
+    const __fp16 *            o_tile_src;
+    uint32_t                  q_start;
+    uint32_t                  kv_head;
+    uint32_t                  ib3;
+    size_t                    n_rows_g;
+} fa_o_store_args_t;
+
+static void fa_o_store_thread(unsigned int n, unsigned int i, void * data) {
+    fa_o_store_args_t *     args  = (fa_o_store_args_t *) data;
+    struct hmx_fa_context * factx = args->factx;
+
+    const size_t n_rows_g = args->n_rows_g;
+    const size_t G        = factx->G;
+    const size_t DV       = factx->DV;
+
+    const size_t rows_per_t = hmx_ceil_div(n_rows_g, n);
+    const size_t start      = (size_t) i * rows_per_t;
+    const size_t end        = hex_smin(start + rows_per_t, n_rows_g);
+
+    if (start >= n_rows_g) {
+        return;
+    }
+
+    const struct htp_tensor * dst        = args->dst;
+    const __fp16 *            o_tile_src = args->o_tile_src;
+    const uint32_t            q_start    = args->q_start;
+    const uint32_t            kv_head    = args->kv_head;
+    const uint32_t            ib3        = args->ib3;
+
+    for (size_t r = start; r < end; ++r) {
+        const size_t q_idx = r / G;
+        const size_t h_idx = r % G;
+
+        // FIX(dst-indexing): ggml_flash_attn_ext() creates dst as permute(0,2,1,3) ->
+        // [DV, n_heads, n_tokens, n_seq], so head stride is nb[1] and token stride is nb[2].
+        uint8_t * dst_row = (uint8_t *) dst->data + (kv_head * G + h_idx) * dst->nb[1] +
+                            (q_start + q_idx) * dst->nb[2] + ib3 * dst->nb[3];
+
+        size_t         r0            = r / HMX_FP16_TILE_N_ROWS;
+        size_t         r1            = r % HMX_FP16_TILE_N_ROWS;
+        const __fp16 * tile_row_base = o_tile_src + r0 * HMX_FP16_TILE_N_ROWS * DV;
+
+        if (factx->is_dst_fp32) {
+            float * out = (float *) dst_row;
+            for (uint32_t d = 0; d < DV / 32; ++d) {
+                const HVX_Vector * in_tile = (const HVX_Vector *) (tile_row_base + d * HMX_FP16_TILE_N_ELMS);
+                HVX_VectorPair     vp      = hvx_vec_f16_to_f32_shuff(in_tile[r1 / 2]);
+                if (r1 % 2 == 0) {
+                    *(HVX_UVector *) (out + d * 32) = Q6_V_lo_W(vp);
+                } else {
+                    *(HVX_UVector *) (out + d * 32) = Q6_V_hi_W(vp);
+                }
+            }
+        } else {
+            __fp16 * out = (__fp16 *) dst_row;
+            for (uint32_t d = 0; d < DV / 64; ++d) {
+                const __fp16 *     in_dual_tile = tile_row_base + d * HMX_FP16_TILE_N_ELMS * 2;
+                const HVX_Vector * pv_in0       = ((const HVX_Vector *) in_dual_tile) + r1 / 2;
+                const HVX_Vector * pv_in1       = pv_in0 + 16;
+                HVX_VectorPair     vp           = Q6_W_vdeal_VVR(*pv_in1, *pv_in0, -2);
+                if (r1 % 2 == 0) {
+                    *(HVX_UVector *) (out + d * 64) = Q6_V_lo_W(vp);
+                } else {
+                    *(HVX_UVector *) (out + d * 64) = Q6_V_hi_W(vp);
+                }
+            }
+        }
+    }
+}
+
+static void fa_phase_o_store(struct hmx_fa_context *   factx,
+                             const struct htp_tensor * dst,
+                             const __fp16 *            o_tile_src,
+                             uint32_t                  q_start,
+                             uint32_t                  kv_head,
+                             uint32_t                  ib3,
+                             size_t                    n_rows_g) {
+    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
+    fa_o_store_args_t args = { factx, dst, o_tile_src, q_start, kv_head, ib3, n_rows_g };
+    if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) {
+        worker_pool_run_func(wp, fa_o_store_thread, &args, factx->n_threads);
+    } else {
+        fa_o_store_thread(1, 0, &args);
+    }
+}
+
+// ============================================================================
+// Multi-thread softmax phase + serial m/l update + build_D
+// ============================================================================
+
+typedef struct {
+    struct hmx_fa_context *   factx;
+    size_t                    kv_rows;
+    size_t                    n_rows_g;
+    size_t                    n_col_tiles;
+    size_t                    n_tiles_per_bc;
+    size_t                    n_row_tiles;
+    size_t                    n_row_tiles_g_br;
+    uint32_t                  Bc;
+    uint32_t                  G;
+    uint32_t                  kv_head;
+    uint32_t                  kv_start;
+    uint32_t                  q_start;
+    uint32_t                  ib3;
+    bool                      has_alibi;  // true when max_bias != 0 (need slope * mask + add)
+
+    // ALiBi per-head slopes (indexed by GQA-merged row: slope[r] for r in [0, n_rows_g))
+    // slope[r] = 1.0 when max_bias == 0 (no ALiBi)
+    // Pointer into hmx_fa_context.vtcm_slopes (sized to g_br)
+    __fp16 *                  slopes;
+
+    // Mask info (preloaded before softmax)
+    const struct htp_tensor * mask;
+    const __fp16 *            mask_vtcm;             // VTCM mask buffer base (NULL = DDR fallback)
+    size_t                    mask_vtcm_row_stride;  // elements (__fp16) per row in VTCM mask buffer
+} fa_softmax_args_t;
+
+static void fa_softmax_thread(unsigned int n, unsigned int i, void * data) {
+    fa_softmax_args_t *     args  = (fa_softmax_args_t *) data;
+    struct hmx_fa_context * factx = args->factx;
+
+    const size_t n_rows_g       = args->n_rows_g;
+    const size_t kv_rows        = args->kv_rows;
+    const size_t Bc             = args->Bc;
+    const size_t G              = args->G;
+    const size_t n_tiles_per_bc = args->n_tiles_per_bc;
+    const size_t n_row_vec_cnt  = hmx_ceil_div(n_rows_g, 64);
+
+    // Partition r_vec_idx across threads
+    const size_t vecs_per_t = hmx_ceil_div(n_row_vec_cnt, n);
+    const size_t vec_start  = i * vecs_per_t;
+    const size_t vec_end    = hex_smin(vec_start + vecs_per_t, n_row_vec_cnt);
+
+    if (vec_start >= n_row_vec_cnt) {
+        return;
+    }
+
+    // Per-thread row scratch: thread i uses bufs at offset i * 2 * stride
+    const size_t row_buf_stride = factx->row_buf_stride;
+    HVX_Vector * my_row_buf0    = factx->vtcm_row_bufs + i * 2 * row_buf_stride;
+    HVX_Vector * my_row_buf1    = my_row_buf0 + row_buf_stride;
+
+    const HVX_Vector v_neg_inf = Q6_Vh_vsplat_R(0xfbff);
+
+    // Per-row accumulators: each fp16 lane in a 64-lane vector holds one row's scalar.
+    // CONTRACT: lane bits must be IEEE fp16 (hf), never qf16 — qf16 uses a different
+    // bit layout, so a later hf-domain read would silently produce wrong values.
+    // Convert first via Q6_Vhf_equals_Vqf16(). For reference: vtcm_m_vec/vtcm_s_rowmax
+    // are hf; vtcm_l_vec is qf16 — don't mix them up.
+
+    for (size_t r_vec_idx = vec_start; r_vec_idx < vec_end; ++r_vec_idx) {
+        HVX_Vector rowmax_acc_v = v_neg_inf;
+        HVX_Vector rowsum_acc_v = Q6_V_vzero();
+        HVX_Vector m_prev_v     = factx->vtcm_m_vec[r_vec_idx];
+
+        for (int r_vec_off = 0; r_vec_off < 64; r_vec_off += 2) {
+            int r = r_vec_idx * 64 + r_vec_off;
+            if (r >= (int) hex_align_up(n_rows_g, 2)) {
+                break;
+            }
+
+            int r0 = r / HMX_FP16_TILE_N_ROWS;
+            int r1 = r % HMX_FP16_TILE_N_ROWS;
+
+            const __fp16 * s_ld_base = factx->vtcm_s_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc;
+            __fp16 *       p_st_base = factx->vtcm_p_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc;
+
+            // Decode 2 rows from S tiles into per-thread row buffers
+            HVX_Vector * pv_row_buf0 = my_row_buf0;
+            HVX_Vector * pv_row_buf1 = my_row_buf1;
+            for (size_t c = 0; c < kv_rows; c += 64) {
+                const __fp16 *     in_dual_tile = s_ld_base + (c / 64) * HMX_FP16_TILE_N_ELMS * 2;
+                const HVX_Vector * pv_s_in0     = ((const HVX_Vector *) in_dual_tile) + r1 / 2;
+                const HVX_Vector * pv_s_in1     = pv_s_in0 + 16;
+
+                HVX_VectorPair vp_s_dual_row = Q6_W_vdeal_VVR(*pv_s_in1, *pv_s_in0, -2);
+                *pv_row_buf0++               = Q6_V_lo_W(vp_s_dual_row);
+                *pv_row_buf1++               = Q6_V_hi_W(vp_s_dual_row);
+            }
+
+            // Apply softcap if enabled (in F32 precision)
+            if (factx->logit_softcap != 0.0f) {
+                // When EXP2_HF is on, fold log2(e) into v_cap so the output lands in
+                // log2(e)-scaled space for the downstream exp2.  log2(e) is kept OUT
+                // of qk_scale in this configuration (see scale setup) so tanh sees
+                // the physical QK/(√d·c) argument.
+                float cap = factx->logit_softcap;
+#ifdef HMX_FA_USE_EXP2_HF
+                cap *= 1.44269504f;  // log2(e)
+#endif
+                const HVX_Vector v_cap = hvx_vec_splat_f32(cap);
+                for (size_t c = 0; c < kv_rows; c += 64) {
+                    size_t ci = c / 64;
+
+                    HVX_VectorPair r0_f32 = hvx_vec_f16_to_f32(my_row_buf0[ci]);
+                    HVX_Vector     t0_lo  = hvx_vec_tanh_f32(Q6_V_lo_W(r0_f32));
+                    HVX_Vector     t0_hi  = hvx_vec_tanh_f32(Q6_V_hi_W(r0_f32));
+                    t0_lo                 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t0_lo, v_cap));
+                    t0_hi                 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t0_hi, v_cap));
+                    my_row_buf0[ci]       = hvx_vec_f32_to_f16(t0_lo, t0_hi);
+
+                    HVX_VectorPair r1_f32 = hvx_vec_f16_to_f32(my_row_buf1[ci]);
+                    HVX_Vector     t1_lo  = hvx_vec_tanh_f32(Q6_V_lo_W(r1_f32));
+                    HVX_Vector     t1_hi  = hvx_vec_tanh_f32(Q6_V_hi_W(r1_f32));
+                    t1_lo                 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t1_lo, v_cap));
+                    t1_hi                 = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(t1_hi, v_cap));
+                    my_row_buf1[ci]       = hvx_vec_f32_to_f16(t1_lo, t1_hi);
+                }
+            }
+
+            // Apply mask & compute rowmax(S)
+            //
+            // Optimizations over baseline:
+            //   A. No-ALiBi fast path: when max_bias==0 (slope≡1.0), skip the
+            //      slope multiplication — still add mask (additive bias) but
+            //      avoid the mul_f16_f16.  Saves 2 ops/dual-row vs ALiBi path.
+            //   B. GQA mask row dedup: G consecutive Q rows share one mask row
+            //      (qi = r / G).  Reuse mask vector when qi is unchanged between
+            //      row0 and row1 (saves ~75% of VTCM loads for G=4).
+
+            // ALiBi slopes — only needed when has_alibi (scheme A)
+            HVX_Vector v_slope0, v_slope1;
+            if (args->has_alibi) {
+                v_slope0 = hvx_vec_splat_f16(args->slopes[r + 0]);
+                v_slope1 = (r + 1 < (int) n_rows_g) ? hvx_vec_splat_f16(args->slopes[r + 1]) : Q6_V_vzero();
+            }
+
+            const HVX_Vector v_threshold = Q6_Vh_vsplat_R(0xcc00);  // fp16 -16.0 (hoisted outside for-c)
+
+            HVX_Vector v_s_rowmax0 = v_neg_inf;
+            HVX_Vector v_s_rowmax1 = v_neg_inf;
+            for (size_t c = 0; c < kv_rows; c += 64) {
+                size_t         ci          = c / 64;
+                const size_t   ne          = hex_smin(kv_rows - c, 64);
+                HVX_VectorPred q_tail_keep = Q6_Q_vsetq2_R(ne * sizeof(__fp16));
+
+                if (args->mask) {
+                    HVX_Vector v_mask0, v_mask1;
+
+                    if (args->mask_vtcm) {
+                        // Read mask from VTCM buffer (DMA'd per KV block).
+                        // GQA dedup (scheme B): skip load when qi unchanged.
+                        const size_t qi0 = (r + 0) / G;
+                        v_mask0 = *(const HVX_UVector *) (args->mask_vtcm + qi0 * args->mask_vtcm_row_stride + c);
+                        v_mask1 = v_neg_inf;
+                        if (r + 1 < (int) n_rows_g) {
+                            const size_t qi1 = (r + 1) / G;
+                            if (qi1 == qi0) {
+                                v_mask1 = v_mask0;  // scheme B: reuse — same mask row
+                            } else {
+                                v_mask1 = *(const HVX_UVector *) (args->mask_vtcm + qi1 * args->mask_vtcm_row_stride + c);
+                            }
+                        }
+                    } else {
+                        // Fallback: read mask directly from DDR (when mask->ne[2] > 1).
+                        const struct htp_tensor * mask   = args->mask;
+                        const size_t              q_idx0 = args->q_start + ((r + 0) / G);
+                        const size_t              h_idx0 = args->kv_head * G + (r + 0) % G;
+                        const uint32_t            im2_0  = h_idx0 % mask->ne[2];
+                        const uint32_t            im3_0  = args->ib3 % mask->ne[3];
+
+                        const __fp16 * m0_ptr = (const __fp16 *) ((const uint8_t *) mask->data + q_idx0 * mask->nb[1] +
+                                                        im2_0 * mask->nb[2] + im3_0 * mask->nb[3]) + args->kv_start + c;
+                        v_mask0 = *(const HVX_UVector *) m0_ptr;
+                        v_mask1 = v_neg_inf;
+
+                        if (r + 1 < (int) n_rows_g) {
+                            const size_t q_idx1 = args->q_start + ((r + 1) / G);
+                            if (q_idx1 == q_idx0) {
+                                // scheme B: same mask row in DDR path
+                                v_mask1 = v_mask0;
+                            } else {
+                                const size_t   h_idx1 = args->kv_head * G + (r + 1) % G;
+                                const uint32_t im2_1  = h_idx1 % mask->ne[2];
+                                const uint32_t im3_1  = args->ib3 % mask->ne[3];
+                                const __fp16 * m1_ptr = (const __fp16 *) ((const uint8_t *) mask->data + q_idx1 * mask->nb[1] +
+                                                                im2_1 * mask->nb[2] + im3_1 * mask->nb[3]) + args->kv_start + c;
+                                v_mask1 = *(const HVX_UVector *) m1_ptr;
+                            }
+                        }
+                    }
+
+                    // Threshold: mask values below -16.0 are treated as -inf (causal mask).
+                    HVX_VectorPred q_keep0 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask0, v_threshold), q_tail_keep);
+                    HVX_VectorPred q_keep1 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask1, v_threshold), q_tail_keep);
+
+                    if (args->has_alibi) {
+                        // ALiBi path: S += slope * mask (full mul + add)
+                        HVX_Vector v_sm0 = hvx_vec_mul_f16_f16(v_mask0, v_slope0);
+                        HVX_Vector v_sm1 = hvx_vec_mul_f16_f16(v_mask1, v_slope1);
+                        my_row_buf0[ci]  = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_sm0), v_neg_inf);
+                        my_row_buf1[ci]  = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_sm1), v_neg_inf);
+                    } else {
+                        // No-ALiBi fast path (scheme A): slope≡1.0, skip the mul
+                        // but still add mask (additive positional bias).  vmux
+                        // clamps mask < -16 to -inf as a numerical safeguard.
+                        my_row_buf0[ci] = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_mask0), v_neg_inf);
+                        my_row_buf1[ci] = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_mask1), v_neg_inf);
+                    }
+                } else {
+                    if (ne < 64) {
+                        my_row_buf0[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf0[ci], v_neg_inf);
+                        my_row_buf1[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf1[ci], v_neg_inf);
+                    }
+                }
+
+                v_s_rowmax0 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax0, my_row_buf0[ci]);
+                v_s_rowmax1 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax1, my_row_buf1[ci]);
+            }
+
+            v_s_rowmax0 = hvx_vec_reduce_max_f16(v_s_rowmax0);
+            v_s_rowmax1 = hvx_vec_reduce_max_f16(v_s_rowmax1);
+
+            // Splat m_prev[r], m_prev[r+1] from the per-row accumulator.
+            // vror brings the target lane to lane 0, then extract + re-splat.
+            HVX_Vector v_m_prev0 = hvx_vec_splat_f16(hvx_vec_get_f16(Q6_V_vror_VR(m_prev_v, r_vec_off * 2)));
+            HVX_Vector v_m_prev1 = hvx_vec_splat_f16(hvx_vec_get_f16(Q6_V_vror_VR(m_prev_v, (r_vec_off + 1) * 2)));
+
+            // HVX max — both operands are splats, so result is splat of m_new.
+            HVX_Vector v_dup_m0 = Q6_Vhf_vmax_VhfVhf(v_m_prev0, v_s_rowmax0);
+            HVX_Vector v_dup_m1 = Q6_Vhf_vmax_VhfVhf(v_m_prev1, v_s_rowmax1);
+
+            // Insert row r, r+1 rowmax into rowmax_acc_v via 2-byte-wide vmux.
+            // Byte ranges: lane0 = [r_vec_off*2 .. r_vec_off*2+1], lane1 shifted by 2.
+            // vsetq2 handles the n=128 corner case when r_vec_off reaches 62.
+            {
+                HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2);
+                HVX_VectorPred p_mid   = Q6_Q_vsetq_R((r_vec_off + 1) * 2);
+                HVX_VectorPred p_end   = Q6_Q_vsetq2_R((r_vec_off + 2) * 2);
+                HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start);
+                HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid);
+                rowmax_acc_v           = Q6_V_vmux_QVV(p_lane0, v_dup_m0, rowmax_acc_v);
+                rowmax_acc_v           = Q6_V_vmux_QVV(p_lane1, v_dup_m1, rowmax_acc_v);
+            }
+
+            // Compute P = exp(S - m_new), using HVX exp
+            const HVX_Vector v_zero      = Q6_V_vzero();
+            HVX_Vector       v_p_rowsum0 = v_zero;
+            HVX_Vector       v_p_rowsum1 = v_zero;
+
+#ifdef HMX_FA_USE_EXP2_HF
+            // FP16 exp2 polynomial path (matches htp-ops-lib flash_attn.c):
+            // P = exp2(S - m_new)
+            for (size_t c = 0; c < kv_rows; c += 64) {
+                size_t     ci           = c / 64;
+                HVX_Vector v_s_minus_m0 = Q6_Vqf16_vsub_VhfVhf(my_row_buf0[ci], v_dup_m0);
+                HVX_Vector v_s_minus_m1 = Q6_Vqf16_vsub_VhfVhf(my_row_buf1[ci], v_dup_m1);
+
+                HVX_Vector v_p_row0_hf  = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_s_minus_m0));
+                HVX_Vector v_p_row1_hf  = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_s_minus_m1));
+#else
+            // F32 exp path: qf16 → f32 → exp → f32 → f16.  Higher precision,
+            for (size_t c = 0; c < kv_rows; c += 64) {
+                size_t     ci           = c / 64;
+                HVX_Vector v_s_minus_m0 = Q6_Vqf16_vsub_VhfVhf(my_row_buf0[ci], v_dup_m0);
+                HVX_Vector v_s_minus_m1 = Q6_Vqf16_vsub_VhfVhf(my_row_buf1[ci], v_dup_m1);
+
+                HVX_VectorPair vp0         = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_s_minus_m0));
+                HVX_Vector     p0_lo       = hvx_vec_exp_f32(Q6_V_lo_W(vp0));
+                HVX_Vector     p0_hi       = hvx_vec_exp_f32(Q6_V_hi_W(vp0));
+                HVX_Vector     v_p_row0_hf = hvx_vec_f32_to_f16_shuff(p0_lo, p0_hi);
+
+                HVX_VectorPair vp1         = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_s_minus_m1));
+                HVX_Vector     p1_lo       = hvx_vec_exp_f32(Q6_V_lo_W(vp1));
+                HVX_Vector     p1_hi       = hvx_vec_exp_f32(Q6_V_hi_W(vp1));
+                HVX_Vector     v_p_row1_hf = hvx_vec_f32_to_f16_shuff(p1_lo, p1_hi);
+#endif
+                // Write P to tile format.  Dual-tile pattern assumes Bc is a
+                // multiple of 64 (enforced by bc_unit=64 in hmx_fa_find_chunk_size),
+                // so both tile halves are always in the current r0 block.
+                __fp16 *     out_dual_tile = p_st_base + (c / 64) * HMX_FP16_TILE_N_ELMS * 2;
+                HVX_Vector * pv_p_out0     = ((HVX_Vector *) out_dual_tile) + r1 / 2;
+                HVX_Vector * pv_p_out1     = pv_p_out0 + 16;
+
+                HVX_VectorPair vp_p_dual = Q6_W_vshuff_VVR(v_p_row1_hf, v_p_row0_hf, -2);
+                *pv_p_out0               = Q6_V_lo_W(vp_p_dual);
+                *pv_p_out1               = Q6_V_hi_W(vp_p_dual);
+
+                HVX_VectorPair vp_p0 = hvx_vec_f16_to_f32_shuff(v_p_row0_hf);
+                HVX_VectorPair vp_p1 = hvx_vec_f16_to_f32_shuff(v_p_row1_hf);
+
+                v_p_rowsum0 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum0, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p0), Q6_V_hi_W(vp_p0)));
+                v_p_rowsum1 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum1, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p1), Q6_V_hi_W(vp_p1)));
+            }
+
+            HVX_Vector rowsum0_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum0));
+            HVX_Vector rowsum1_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum1));
+            {
+                // Both inputs are f32 splats, so the f32->f16 output is an fp16 splat.
+                HVX_Vector rv0_v = hvx_vec_f32_to_f16(rowsum0_sf, rowsum0_sf);
+                HVX_Vector rv1_v = hvx_vec_f32_to_f16(rowsum1_sf, rowsum1_sf);
+
+                HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2);
+                HVX_VectorPred p_mid   = Q6_Q_vsetq_R((r_vec_off + 1) * 2);
+                HVX_VectorPred p_end   = Q6_Q_vsetq2_R((r_vec_off + 2) * 2);
+                HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start);
+                HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid);
+                rowsum_acc_v           = Q6_V_vmux_QVV(p_lane0, rv0_v, rowsum_acc_v);
+                rowsum_acc_v           = Q6_V_vmux_QVV(p_lane1, rv1_v, rowsum_acc_v);
+            }
+        }
+
+        factx->vtcm_s_rowmax[r_vec_idx] = rowmax_acc_v;
+        factx->vtcm_p_rowsum[r_vec_idx] = rowsum_acc_v;
+    }
+}
+
+// Serial m/l update + build_D.  Must run after softmax barrier (s_rowmax written by all threads).
+//
+// noinline: function boundary acts as a hard compiler barrier so the (size_t)addr scatter
+// intrinsics inside cannot be hoisted past the call site.  Mirrors the structural protection
+// matmul gets for free via worker_pool function-pointer dispatch.  Without this, the compiler
+// can reorder the scatter past the subsequent hmx_queue_push and the HMX-queue worker thread
+// reads stale VTCM (PPL → ~vocab-size).
+static __attribute__((noinline)) void fa_ml_update_and_build_d(struct hmx_fa_context * factx,
+                                                               size_t                  n_rows_g,
+                                                               size_t                  n_row_tiles,
+                                                               size_t                  n_row_tiles_g_br) {
+    // Reuse s_rowmax buffer for exp(m_diff) — safe because softmax is fully complete
+    HVX_Vector * const mvec_exp_m_diff = factx->vtcm_s_rowmax;
+
+    const size_t n_row_vec_cnt = hmx_ceil_div(n_rows_g, 64);
+    for (size_t i = 0; i < n_row_vec_cnt; ++i) {
+        HVX_Vector v_m_prev = factx->vtcm_m_vec[i];
+        HVX_Vector v_m_curr = Q6_Vhf_vmax_VhfVhf(v_m_prev, factx->vtcm_s_rowmax[i]);
+        HVX_Vector v_m_diff = Q6_Vqf16_vsub_VhfVhf(v_m_prev, v_m_curr);
+
+#ifdef HMX_FA_USE_EXP2_HF
+        // Base-2 path: must match P = exp2(S - m_new) in fa_softmax_thread.
+        HVX_Vector v_exp_m_diff      = hvx_exp2_hf(Q6_Vhf_equals_Vqf16(v_m_diff));
+#else
+        HVX_VectorPair vp_diff       = hvx_vec_f16_to_f32_shuff(Q6_Vhf_equals_Vqf16(v_m_diff));
+        HVX_Vector     exp_lo        = hvx_vec_exp_f32(Q6_V_lo_W(vp_diff));
+        HVX_Vector     exp_hi        = hvx_vec_exp_f32(Q6_V_hi_W(vp_diff));
+        HVX_Vector     v_exp_m_diff  = hvx_vec_f32_to_f16_shuff(exp_lo, exp_hi);
+#endif
+
+        HVX_Vector v_l_curr = Q6_Vqf16_vmpy_Vqf16Vhf(factx->vtcm_l_vec[i], v_exp_m_diff);
+        v_l_curr            = Q6_Vqf16_vadd_Vqf16Vhf(v_l_curr, factx->vtcm_p_rowsum[i]);
+
+        factx->vtcm_m_vec[i] = v_m_curr;
+        factx->vtcm_l_vec[i] = v_l_curr;
+        mvec_exp_m_diff[i]   = v_exp_m_diff;
+    }
+
+    // Build diagonal tile D = diag(exp(m_diff))
+    const HVX_Vector     v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets;
+    const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16));
+    for (size_t i = 0; i < n_row_tiles; ++i) {
+        const HVX_Vector v_content = Q6_V_vror_VR(mvec_exp_m_diff[i / 2], (i % 2) * 64);
+        __fp16 *         out_base  = factx->vtcm_d_tiles + i * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+        Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content);
+        // Compiler barrier — Q6_vscatter takes (size_t)addr; without this the
+        // compiler may not recognize the volatile read below as aliasing and
+        // could reorder it before the scatter, defeating the HW drain.
+        __asm__ __volatile__("" ::: "memory");
+        // Per-tile drain: scatter regions are disjoint (stride > tile size),
+        // so a single drain at tile 0 does NOT retire later tiles' entries.
+        (void) *(volatile HVX_Vector *) out_base;
+    }
+}
+
+// Build D = diag(1/l) tile for the final O = D @ O normalization.
+//
+// noinline: same rationale as fa_ml_update_and_build_d — keeps Q6_vscatter from
+// being hoisted past the subsequent hmx_queue_push at the o_norm call site.
+static __attribute__((noinline)) void fa_build_d_diag_inv_l(struct hmx_fa_context * factx,
+                                                            size_t                  n_row_tiles,
+                                                            size_t                  n_row_tiles_g_br) {
+    const HVX_Vector     v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets;
+    const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16));
+    const HVX_Vector     one       = hvx_vec_splat_f32(1.0f);
+
+    HVX_Vector v_content = Q6_V_vzero();
+    for (size_t i = 0; i < n_row_tiles; ++i) {
+        if ((i % 2) == 0) {
+            HVX_Vector     v_l_hf = Q6_Vhf_equals_Vqf16(factx->vtcm_l_vec[i / 2]);
+            HVX_VectorPair vp_l   = hvx_vec_f16_to_f32_shuff(v_l_hf);
+            HVX_Vector     inv_lo = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(one, hvx_vec_inverse_f32(Q6_V_lo_W(vp_l))));
+            HVX_Vector     inv_hi = Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(one, hvx_vec_inverse_f32(Q6_V_hi_W(vp_l))));
+            v_content = hvx_vec_f32_to_f16_shuff(inv_lo, inv_hi);
+        } else {
+            v_content = Q6_V_vror_VR(v_content, 64);
+        }
+
+        __fp16 * out_base = factx->vtcm_d_tiles + i * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+        Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content);
+        // Compiler barrier — see fa_ml_update_and_build_d for rationale.
+        __asm__ __volatile__("" ::: "memory");
+        (void) *(volatile HVX_Vector *) out_base;
+    }
+}
+
+// Combined: multi-thread softmax -> barrier -> serial m/l update + build_D
+static void fa_phase_softmax_and_build_d(struct hmx_fa_context * factx,
+                                         fa_softmax_args_t *     sargs,
+                                         size_t                  n_row_tiles,
+                                         size_t                  n_row_tiles_g_br) {
+    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
+    const size_t n_row_vec_cnt = hmx_ceil_div(sargs->n_rows_g, 64);
+
+    if (factx->n_threads > 1 && n_row_vec_cnt >= 2) {
+        uint32_t n_use = (uint32_t) hex_smin((size_t) factx->n_threads, n_row_vec_cnt);
+        worker_pool_run_func(wp, fa_softmax_thread, sargs, n_use);
+    } else {
+        fa_softmax_thread(1, 0, sargs);
+    }
+    // barrier implicit in worker_pool_run_func return
+
+    fa_ml_update_and_build_d(factx, sargs->n_rows_g, n_row_tiles, n_row_tiles_g_br);
+}
+
+// ============================================================================
+// HMX job structs and worker functions
+// ============================================================================
+
+typedef struct {
+    const __fp16 * q_tiles;
+    const __fp16 * k_tiles;
+    __fp16 *       s_tiles;
+    size_t         n_row_tiles;
+    size_t         n_col_tiles;
+    size_t         n_dot_tiles;  // DK / 32
+    size_t         n_tiles_per_bc;
+    uint8_t *      hmx_scales;
+} hmx_fa_qk_job_t;
+
+static void hmx_fa_qk_dot_worker(void * data) {
+    hmx_fa_qk_job_t * job            = (hmx_fa_qk_job_t *) data;
+    const size_t      n_row_tiles    = job->n_row_tiles;
+    const size_t      n_col_tiles    = job->n_col_tiles;
+    const size_t      n_dot_tiles    = job->n_dot_tiles;
+    const size_t      n_tiles_per_bc = job->n_tiles_per_bc;
+    const __fp16 * restrict q_tiles  = job->q_tiles;
+    const __fp16 * restrict k_tiles  = job->k_tiles;
+    __fp16 * restrict s_tiles        = job->s_tiles;
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(n_dot_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *) job->hmx_scales);
+    for (size_t r = 0; r < n_row_tiles; ++r) {
+        for (size_t c = 0; c < n_col_tiles; ++c) {
+            const __fp16 * row_tiles = q_tiles + r * HMX_FP16_TILE_N_ROWS * n_dot_tiles * HMX_FP16_TILE_N_COLS;
+            const __fp16 * col_tiles = k_tiles + c * HMX_FP16_TILE_N_COLS * n_dot_tiles * HMX_FP16_TILE_N_COLS;
+            __fp16 *       out_tile  = s_tiles + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS;
+
+            for (size_t k = 0; k < n_dot_tiles; ++k) {
+                Q6_activation_hf_mxmem_RR((unsigned int) row_tiles, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int) col_tiles, 2047);
+                row_tiles += HMX_FP16_TILE_N_ELMS;
+                col_tiles += HMX_FP16_TILE_N_ELMS;
+            }
+            Q6_mxmem_AR_after_hf(out_tile, 0);
+        }
+    }
+}
+
+typedef struct {
+    __fp16 *       o_curr;
+    const __fp16 * o_prev;
+    const __fp16 * p_tiles;
+    const __fp16 * v_tiles;
+    const __fp16 * d_tiles;
+    uint8_t *      hmx_scales;
+    size_t         n_row_tiles;
+    size_t         n_col_tiles;
+    size_t         n_row_tiles_g_br;
+    size_t         n_tiles_per_bc;
+    size_t         DV;
+} hmx_fa_o_update_job_t;
+
+static void hmx_fa_o_update_worker(void * data) {
+    hmx_fa_o_update_job_t * job              = (hmx_fa_o_update_job_t *) data;
+    const size_t            n_row_tiles      = job->n_row_tiles;
+    const size_t            n_col_tiles      = job->n_col_tiles;
+    const size_t            n_row_tiles_g_br = job->n_row_tiles_g_br;
+    const size_t            n_tiles_per_bc   = job->n_tiles_per_bc;
+    const size_t            DV_tiles         = job->DV / 32;
+    const __fp16 * restrict d_tiles          = job->d_tiles;
+    const __fp16 * restrict p_tiles          = job->p_tiles;
+    const __fp16 * restrict v_tiles          = job->v_tiles;
+    const __fp16 * restrict o_prev           = job->o_prev;
+    __fp16 * restrict o_curr                 = job->o_curr;
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(DV_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *) job->hmx_scales);
+    for (size_t r = 0; r < n_row_tiles; ++r) {
+        for (size_t c = 0; c < DV_tiles; ++c) {
+            // D[r,r] @ O_prev[r,c] — only the diagonal tile
+            const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+            const __fp16 * o_rc   = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+            Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047);
+            Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047);
+
+            // P @ V (accumulate on same accumulator)
+            const __fp16 * p_tile_in = p_tiles + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
+            const __fp16 * v_tile_in = v_tiles + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
+            for (size_t k = 0; k < n_col_tiles; ++k) {
+                Q6_activation_hf_mxmem_RR((unsigned int) p_tile_in, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int) v_tile_in, 2047);
+                p_tile_in += HMX_FP16_TILE_N_ELMS;
+                v_tile_in += HMX_FP16_TILE_N_ELMS;
+            }
+
+            __fp16 * o_tile_out = o_curr + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+            Q6_mxmem_AR_after_hf(o_tile_out, 0);
+        }
+    }
+}
+
+typedef struct {
+    __fp16 *       o_curr;   // output (row-major tile layout)
+    const __fp16 * o_prev;   // input (column-major tile layout)
+    const __fp16 * d_tiles;  // diag(1/l) tiles
+    uint8_t *      hmx_scales;
+    size_t         n_row_tiles;
+    size_t         n_row_tiles_g_br;
+    size_t         DV;
+} hmx_fa_o_norm_job_t;
+
+static void hmx_fa_o_norm_worker(void * data) {
+    hmx_fa_o_norm_job_t * job              = (hmx_fa_o_norm_job_t *) data;
+    const size_t          n_row_tiles      = job->n_row_tiles;
+    const size_t          n_row_tiles_g_br = job->n_row_tiles_g_br;
+    const size_t          DV_tiles         = job->DV / 32;
+    const __fp16 * restrict d_tiles        = job->d_tiles;
+    const __fp16 * restrict o_prev         = job->o_prev;
+    __fp16 * restrict o_curr               = job->o_curr;
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(DV_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *) job->hmx_scales);
+    for (size_t r = 0; r < n_row_tiles; ++r) {
+        for (size_t c = 0; c < DV_tiles; ++c) {
+            const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+            const __fp16 * o_rc   = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+            __fp16 *       o_out  = o_curr + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS;
+
+            Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047);
+            Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047);
+            Q6_mxmem_AR_after_hf(o_out, 0);
+        }
+    }
+}
+
+// Populate per-GQA-row ALiBi slopes for a given KV head.
+// Row r in the GQA-merged block maps to Q head h = kv_head * G + r % G.
+// slope(h) = m0^(h+1) when h < n_head_log2, else m1^(2*(h-n_head_log2)+1).
+// When max_bias == 0, all slopes are 1.0 (no ALiBi).
+static __attribute__((noinline)) void fa_compute_slopes(fa_softmax_args_t * sargs,
+                              const struct hmx_fa_context * factx,
+                              uint32_t                      kv_head,
+                              size_t                        n_rows_g) {
+    if (factx->max_bias == 0.0f) {
+        for (size_t r = 0; r < n_rows_g; ++r) {
+            sargs->slopes[r] = 1.0f;
+        }
+        return;
+    }
+
+    const uint32_t G           = factx->G;
+    const uint32_t n_head_log2 = factx->n_head_log2;
+    const float    m0          = factx->m0;
+    const float    m1          = factx->m1;
+
+    for (size_t r = 0; r < n_rows_g; ++r) {
+        const uint32_t h = kv_head * G + r % G;
+        sargs->slopes[r] = (h < n_head_log2) ? powf(m0, h + 1) : powf(m1, 2 * (h - n_head_log2) + 1);
+    }
+}
+
+// ============================================================================
+// Core HMX flash attention algorithm (GQA-merged)
+// ============================================================================
+
+int hmx_flash_attn_ext(struct htp_ops_context * octx) {
+    const struct htp_tensor * q    = octx->src[0];
+    const struct htp_tensor * k    = octx->src[1];
+    const struct htp_tensor * v    = octx->src[2];
+    const struct htp_tensor * mask = (octx->src[3] && octx->src[3]->data) ? octx->src[3] : NULL;
+    const struct htp_tensor * dst  = octx->dst;
+
+    struct htp_context * const ctx = octx->ctx;
+
+    if (!ctx->hmx_enabled) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    // Dimensions
+    const uint32_t neq0 = q->ne[0];  // head_dim (DK)
+    const uint32_t neq1 = q->ne[1];  // n_tokens
+    const uint32_t neq2 = q->ne[2];  // n_heads
+    const uint32_t neq3 = q->ne[3];  // n_seqs
+
+    const uint32_t nek0 = k->ne[0];  // head_dim
+    const uint32_t nek1 = k->ne[1];  // kv_len
+
+    const uint32_t nev0 = v->ne[0];  // head_dim (DV)
+
+    const uint32_t DK = neq0;
+    const uint32_t DV = nev0;
+
+    // HMX requires head_dim to be multiple of 32
+    if (DK % 32 != 0 || DV % 32 != 0) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+    if (neq1 < 32) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    // GQA factor
+    const uint32_t n_kv_heads = k->ne[2];
+    const uint32_t G          = neq2 / n_kv_heads;
+
+    // Thread count for multi-thread HVX phases
+    const uint32_t n_threads = octx->n_threads;
+
+    // Compute dynamic block sizes (GQA-aware, accounting for per-thread row bufs)
+    size_t       Br, Bc;
+    const size_t vtcm_budget = ctx->vtcm_size;
+    if (hmx_fa_find_chunk_size(&Br, &Bc, G, DK, DV, neq1, nek1, vtcm_budget, n_threads) != 0) {
+        return HTP_STATUS_VTCM_TOO_SMALL;
+    }
+
+    const size_t g_br = hex_align_up(G * Br, HMX_FP16_TILE_N_ROWS);
+
+    const uint32_t n_kv_blocks  = (nek1 + Bc - 1) / Bc;
+    const bool     use_pipeline = (n_kv_blocks >= FA_MIN_KV_BLOCKS && n_threads >= 2);
+
+    FARF(HIGH, "hmx-fa: neq1=%u nek1=%u DK=%u DV=%u G=%u Br=%zu Bc=%zu g_br=%zu n_kv_blocks=%u pipeline=%d vtcm=%zu",
+         neq1, nek1, DK, DV, G, Br, Bc, g_br, n_kv_blocks, use_pipeline, vtcm_budget);
+
+    // ======== Build context ========
+    struct hmx_fa_context factx;
+    memset(&factx, 0, sizeof(factx));
+    factx.octx           = octx;
+    factx.n_threads      = octx->ctx->n_threads;
+    factx.DK             = DK;
+    factx.DV             = DV;
+    factx.n_kv           = nek1;
+    factx.n_kv_heads     = n_kv_heads;
+    factx.n_heads        = neq2;
+    factx.G              = G;
+    factx.neq1           = neq1;
+    factx.Br             = (uint32_t) Br;
+    factx.Bc             = (uint32_t) Bc;
+    factx.g_br           = (uint32_t) g_br;
+    factx.n_kv_blocks    = n_kv_blocks;
+    factx.is_q_fp32      = (q->type == HTP_TYPE_F32);
+    factx.is_dst_fp32    = (dst->type == HTP_TYPE_F32);
+    factx.use_pipeline   = use_pipeline;
+    factx.mask_broadcast = (mask != NULL && mask->ne[2] == 1);
+
+    // Extract op parameters (mutable during softcap adjustment, then stored as const in factx)
+    float scale = 1.0f, max_bias = 0.0f, logit_softcap = 0.0f;
+    memcpy(&scale, (float *) octx->op_params + 0, sizeof(float));
+    memcpy(&max_bias, (float *) octx->op_params + 1, sizeof(float));
+    memcpy(&logit_softcap, (float *) octx->op_params + 2, sizeof(float));
+
+    if (logit_softcap != 0.0f) {
+        scale /= logit_softcap;
+    }
+
+#ifdef HMX_FA_USE_EXP2_HF
+    // Pre-bake log2(e) into qk_scale so HMX-produced S tiles are in log2(e)-scaled
+    // space.  Then exp2(S - m) in the softmax equals base-e exp((S - m) / log2(e)),
+    // preserving ggml's base-e softmax semantics.  Matches htp-ops-lib flash_attn.c.
+    //
+    // When softcap is active we cannot pre-bake log2(e) here — it would land inside
+    // the tanh argument and shift the softcap knee from x≈c to x≈c/log2(e), giving
+    // numerically wrong softcapped values.  Instead fold log2(e) into the post-tanh
+    // multiplier (see softcap block: v_cap absorbs log2(e)).
+    if (logit_softcap == 0.0f) {
+        scale *= 1.44269504f;  // log2(e)
+    }
+#endif
+
+    factx.scale         = scale;
+    factx.max_bias      = max_bias;
+    factx.logit_softcap = logit_softcap;
+
+    factx.n_head_log2 = 1u << (uint32_t) floor(log2(neq2));
+    factx.m0          = powf(2.0f, -(max_bias) / factx.n_head_log2);
+    factx.m1          = powf(2.0f, -(max_bias / 2.0f) / factx.n_head_log2);
+
+    // ======== VTCM allocation (GQA-aware) ========
+    const size_t q_tile_bytes  = hex_align_up(g_br * DK * sizeof(__fp16), 4096);
+    const size_t o_tile_bytes  = hex_align_up(g_br * DV * sizeof(__fp16), 4096);
+    const size_t k_dma_bytes   = hex_align_up(Bc * DK * sizeof(__fp16), 4096);
+    const size_t v_dma_bytes   = hex_align_up(Bc * DV * sizeof(__fp16), 4096);
+    const size_t k_tile_bytes  = hex_align_up(Bc * DK * sizeof(__fp16), 4096);
+    const size_t v_tile_bytes  = hex_align_up(Bc * DV * sizeof(__fp16), 4096);
+    const size_t s_tile_bytes  = hex_align_up(g_br * Bc * sizeof(__fp16), 4096);
+    const size_t d_tile_bytes  = hex_align_up(g_br * g_br * sizeof(__fp16), 4096);
+    const size_t col_vec_bytes = hex_align_up(g_br * sizeof(__fp16), 256);
+    const size_t row_vec_bytes = hex_align_up(Bc * sizeof(__fp16), 256);
+    const size_t m_line_bytes  = hex_align_up(Bc * sizeof(__fp16), 128);
+    const size_t m_buf_bytes   = hex_align_up(Br * m_line_bytes, 4096);
+    const size_t slopes_bytes  = hex_align_up(g_br * sizeof(__fp16), 128);
+
+    uint8_t * vtcm_cur = ctx->vtcm_base;
+
+    factx.vtcm_q_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, q_tile_bytes);
+    factx.vtcm_o_tiles[0]     = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes);
+    factx.vtcm_o_tiles[1]     = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes);
+    factx.vtcm_k_fp16[0]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes);
+    factx.vtcm_k_fp16[1]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes);
+    factx.vtcm_v_fp16[0]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes);
+    factx.vtcm_v_fp16[1]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes);
+    factx.vtcm_k_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_tile_bytes);
+    factx.vtcm_v_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_tile_bytes);
+    factx.vtcm_s_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes);
+    factx.vtcm_p_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes);
+    factx.vtcm_d_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, d_tile_bytes);
+    factx.vtcm_m_vec          = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
+    factx.vtcm_l_vec          = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
+    factx.vtcm_s_rowmax       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
+    factx.vtcm_p_rowsum       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
+    factx.vtcm_row_bufs       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, row_vec_bytes * 2 * n_threads);
+    factx.row_buf_stride      = row_vec_bytes / sizeof(HVX_Vector);
+    factx.vtcm_hmx_scales_id  = vtcm_seq_alloc(&vtcm_cur, 256);
+    factx.vtcm_hmx_scales_qk  = vtcm_seq_alloc(&vtcm_cur, 256);
+    factx.vtcm_mask_buf       = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, m_buf_bytes);
+    factx.mask_buf_row_stride = m_line_bytes / sizeof(__fp16);
+    factx.vtcm_slopes         = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, slopes_bytes);
+
+    if ((size_t) (vtcm_cur - ctx->vtcm_base) > ctx->vtcm_size) {
+        return HTP_STATUS_VTCM_TOO_SMALL;
+    }
+
+    // ======== Initialize HMX output scales ========
+    // Identity scale (1.0) for O updates and normalization
+    hmx_init_column_scales(factx.vtcm_hmx_scales_id, Q6_V_vsplat_R(0x3c00)); // 1.0
+
+    // QK scale embedded in HMX output
+    hmx_init_column_scales(factx.vtcm_hmx_scales_qk, hvx_vec_splat_f16(factx.scale));
+
+    // ======== Skip compute if profiling ========
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    // Profiling timers
+    TIMER_DEFINE(total);
+    TIMER_DEFINE(q_load);
+    TIMER_DEFINE(kv_dma);
+    TIMER_DEFINE(k_interleave);
+    TIMER_DEFINE(v_interleave);
+    TIMER_DEFINE(qk_dot);
+    TIMER_DEFINE(softmax);
+    TIMER_DEFINE(o_update);
+    TIMER_DEFINE(o_norm);
+    TIMER_DEFINE(o_store);
+
+    TIMER_START(total);
+
+    // ======== DMA setup ========
+    dma_queue * const dma = ctx->dma[0];
+
+    // Padded row sizes for DMA
+    const size_t size_k_row        = nek0 * sizeof(__fp16);
+    const size_t size_v_row        = nev0 * sizeof(__fp16);
+    const size_t size_k_row_padded = hex_round_up(nek0 * sizeof(__fp16), 128);
+    const size_t size_v_row_padded = hex_round_up(nev0 * sizeof(__fp16), 128);
+
+    const size_t n_row_tiles_g_br = g_br / HMX_FP16_TILE_N_ROWS;
+    const size_t n_tiles_per_bc   = Bc / HMX_FP16_TILE_N_COLS;
+
+    // Q/O element size for Q load and O store
+    const size_t qo_element_size = factx.is_q_fp32 ? sizeof(float) : sizeof(__fp16);
+
+    // ======== HMX lock strategy ========
+    // Pipeline: queue thread auto-acquires HMX lock on first push; released by suspend.
+    // Fallback: main thread holds the lock (original behavior).
+    if (!factx.use_pipeline) {
+        HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+    }
+
+    // ======== Reusable job descriptors for pipeline ========
+    hmx_fa_qk_job_t       qk_job;
+    hmx_fa_o_update_job_t ou_job;
+    hmx_fa_o_norm_job_t   on_job;
+
+    // ======== Main loop: per batch, per KV head, per Q block ========
+    for (uint32_t ib3 = 0; ib3 < neq3; ++ib3) {
+        for (uint32_t kv_head = 0; kv_head < n_kv_heads; ++kv_head) {
+            const uint32_t ik2 = kv_head;
+            const uint32_t ik3 = ib3 / (neq3 / k->ne[3]);
+            const uint32_t iv2 = kv_head;
+            const uint32_t iv3 = ib3 / (neq3 / v->ne[3]);
+
+            for (uint32_t q_start = 0; q_start < neq1; q_start += Br) {
+                const uint32_t n_q_rows    = hex_smin(Br, neq1 - q_start);
+                const size_t   n_rows_g    = n_q_rows * G;
+                const size_t   g_br_actual = hex_align_up(n_rows_g, HMX_FP16_TILE_N_ROWS);
+                const size_t   n_row_tiles = g_br_actual / HMX_FP16_TILE_N_ROWS;
+
+                // ---- Load Q block [g_br, D] -> tiles, interleaving G heads ----
+                TIMER_START(q_load);
+                if (n_rows_g < g_br) {
+                    hvx_splat_u8_a(factx.vtcm_q_tiles, 0, q_tile_bytes);
+                }
+                fa_phase_q_load(&factx, q, q_start, kv_head, ib3, n_rows_g);
+                TIMER_STOP(q_load);
+
+                // ---- Initialize per-block state ----
+                hvx_splat_u8_a(factx.vtcm_l_vec,   0,      col_vec_bytes);
+                hvx_splat_u8_a(factx.vtcm_d_tiles, 0,      d_tile_bytes);
+                hvx_splat_u16_a(factx.vtcm_m_vec,  0xfbff, col_vec_bytes/2);
+
+                __fp16 * o_tile_prev = factx.vtcm_o_tiles[0];
+                __fp16 * o_tile_curr = factx.vtcm_o_tiles[1];
+                hvx_splat_u8_a(o_tile_prev, 0, o_tile_bytes);
+
+                // ---- KV block loop with DMA double-buffering ----
+                size_t buf_idx = 0;
+
+                // Prefetch first KV block
+                if (factx.n_kv_blocks > 0) {
+                    const uint32_t kv_rows0 = hex_smin(Bc, nek1);
+
+                    const uint8_t * k_src = (const uint8_t *) k->data + ik2 * k->nb[2] + ik3 * k->nb[3];
+                    dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[0], k_src), size_k_row_padded, k->nb[1],
+                                   size_k_row, kv_rows0);
+
+                    const uint8_t * v_src = (const uint8_t *) v->data + iv2 * v->nb[2] + iv3 * v->nb[3];
+                    dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[0], v_src), size_v_row_padded, v->nb[1],
+                                   size_v_row, kv_rows0);
+                }
+
+                // Mask DMA: single 2D transfer of n_q_rows unique mask rows into VTCM buffer.
+                // Only when mask is head-broadcast (ne[2]==1); otherwise softmax reads DDR directly.
+                #define MASK_DMA_PUSH(kv_start_val, kv_rows_val, has_mask_dma_var)                                             \
+                    do {                                                                                                       \
+                        has_mask_dma_var = false;                                                                              \
+                        if (mask && factx.mask_broadcast) {                                                                    \
+                            const uint32_t  _im3 = ib3 % mask->ne[3];                                                          \
+                            const uint8_t * _ms  = (const uint8_t *) mask->data + q_start * mask->nb[1] + _im3 * mask->nb[3] + \
+                                                  (kv_start_val) * sizeof(__fp16);                                             \
+                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_mask_buf, _ms), m_line_bytes, mask->nb[1],             \
+                                           (kv_rows_val) * sizeof(__fp16), n_q_rows);                                          \
+                            has_mask_dma_var = true;                                                                           \
+                        }                                                                                                      \
+                    } while (0)
+
+                #define MASK_DMA_POP(has_mask_dma_var) \
+                    do {                               \
+                        if (has_mask_dma_var) {        \
+                            dma_queue_pop(dma);        \
+                        }                              \
+                    } while (0)
+
+                #define DMA_PREFETCH_KV(blk_val)                                                                                          \
+                    do {                                                                                                                  \
+                        if ((blk_val) < factx.n_kv_blocks) {                                                                              \
+                            const uint32_t  _ns = (blk_val) * Bc;                                                                         \
+                            const uint32_t  _nr = hex_smin(Bc, nek1 - _ns);                                                               \
+                            size_t          _nb = 1 - buf_idx;                                                                            \
+                            const uint8_t * _ks = (const uint8_t *) k->data + _ns * k->nb[1] + ik2 * k->nb[2] + ik3 * k->nb[3];           \
+                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[_nb], _ks), size_k_row_padded, k->nb[1], size_k_row, _nr); \
+                            const uint8_t * _vs = (const uint8_t *) v->data + _ns * v->nb[1] + iv2 * v->nb[2] + iv3 * v->nb[3];           \
+                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[_nb], _vs), size_v_row_padded, v->nb[1], size_v_row, _nr); \
+                        }                                                                                                                 \
+                    } while (0)
+
+                const size_t k_src_stride = size_k_row_padded / sizeof(__fp16);
+                const size_t v_src_stride = size_v_row_padded / sizeof(__fp16);
+
+                if (factx.use_pipeline) {
+                    // ==================================================================
+                    // Pipeline path: HVX phases ‖ HMX queue worker
+                    // ==================================================================
+                    struct hmx_queue * hmx_q = ctx->hmx_queue;
+
+                    for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) {
+                        const uint32_t kv_start    = kv_blk * Bc;
+                        const uint32_t kv_rows     = hex_smin(Bc, nek1 - kv_start);
+                        const size_t   n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS);
+
+                        // Wait for current KV DMA
+                        TIMER_START(kv_dma);
+                        dma_queue_pop(dma);  // K
+                        dma_queue_pop(dma);  // V
+                        TIMER_STOP(kv_dma);
+
+                        // Push mask DMA for this block (single 2D DMA when broadcast)
+                        bool has_mask_dma = false;
+                        MASK_DMA_PUSH(kv_start, kv_rows, has_mask_dma);
+
+                        // ---- Phase 1: K_int(blk) ‖ O_update(blk-1) ----
+                        if (kv_blk > 0) {
+                            // Submit O_update for previous block (HMX worker)
+                            ou_job.o_curr           = o_tile_curr;
+                            ou_job.o_prev           = o_tile_prev;
+                            ou_job.p_tiles          = factx.vtcm_p_tiles;
+                            ou_job.v_tiles          = factx.vtcm_v_tiles;
+                            ou_job.d_tiles          = factx.vtcm_d_tiles;
+                            ou_job.hmx_scales       = factx.vtcm_hmx_scales_id;
+                            ou_job.n_row_tiles      = n_row_tiles;
+                            ou_job.n_col_tiles      = hmx_ceil_div(hex_smin(Bc, nek1 - (kv_blk - 1) * Bc), HMX_FP16_TILE_N_COLS);
+                            ou_job.n_row_tiles_g_br = n_row_tiles_g_br;
+                            ou_job.n_tiles_per_bc   = n_tiles_per_bc;
+                            ou_job.DV               = DV;
+                            hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job));
+                        }
+
+                        TIMER_START(k_interleave);
+                        fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx);
+                        TIMER_STOP(k_interleave);
+
+                        if (kv_blk > 0) {
+                            hmx_queue_pop(hmx_q);
+                            hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
+                        }
+
+                        // ---- Phase 2: qk_dot(blk) on HMX ‖ V_int(blk) + DMA prefetch on HVX ----
+                        qk_job.q_tiles        = factx.vtcm_q_tiles;
+                        qk_job.k_tiles        = factx.vtcm_k_tiles;
+                        qk_job.s_tiles        = factx.vtcm_s_tiles;
+                        qk_job.n_row_tiles    = n_row_tiles;
+                        qk_job.n_col_tiles    = n_col_tiles;
+                        qk_job.n_dot_tiles    = DK / 32;
+                        qk_job.n_tiles_per_bc = n_tiles_per_bc;
+                        qk_job.hmx_scales     = factx.vtcm_hmx_scales_qk;
+                        TIMER_START(qk_dot);
+                        hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_qk_dot_worker, &qk_job));
+
+                        // DMA push next block (non-blocking, before worker_pool)
+                        DMA_PREFETCH_KV(kv_blk + 1);
+
+                        TIMER_START(v_interleave);
+                        fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc);
+                        TIMER_STOP(v_interleave);
+
+                        hmx_queue_pop(hmx_q);
+                        TIMER_STOP(qk_dot);
+
+                        // ---- Phase 3: softmax(blk) + build_D(blk) | HMX idle ----
+                        // Pop mask DMA before softmax (ensures VTCM buffer is ready)
+                        MASK_DMA_POP(has_mask_dma);
+
+                        fa_softmax_args_t sargs;
+                        memset(&sargs, 0, sizeof(sargs));
+                        sargs.factx                = &factx;
+                        sargs.kv_rows              = kv_rows;
+                        sargs.n_rows_g             = n_rows_g;
+                        sargs.n_col_tiles          = n_col_tiles;
+                        sargs.n_tiles_per_bc       = n_tiles_per_bc;
+                        sargs.n_row_tiles          = n_row_tiles;
+                        sargs.n_row_tiles_g_br     = n_row_tiles_g_br;
+                        sargs.Bc                   = Bc;
+                        sargs.G                    = G;
+                        sargs.kv_head              = kv_head;
+                        sargs.kv_start             = kv_start;
+                        sargs.q_start              = q_start;
+                        sargs.ib3                  = ib3;
+                        sargs.has_alibi            = (factx.max_bias != 0.0f);
+                        sargs.mask                 = mask;
+                        sargs.mask_vtcm            = has_mask_dma ? (const __fp16 *) factx.vtcm_mask_buf : NULL;
+                        sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride;
+                        sargs.slopes               = factx.vtcm_slopes;
+                        fa_compute_slopes(&sargs, &factx, kv_head, n_rows_g);
+
+                        TIMER_START(softmax);
+                        fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br);
+                        TIMER_STOP(softmax);
+
+                        buf_idx = 1 - buf_idx;
+                    }  // end KV block loop (pipeline)
+
+                    // Epilogue: O_update for last block
+                    if (factx.n_kv_blocks > 0) {
+                        const uint32_t last_blk = factx.n_kv_blocks - 1;
+                        const size_t last_cols  = hmx_ceil_div(hex_smin(Bc, nek1 - last_blk * Bc), HMX_FP16_TILE_N_COLS);
+                        ou_job.o_curr           = o_tile_curr;
+                        ou_job.o_prev           = o_tile_prev;
+                        ou_job.p_tiles          = factx.vtcm_p_tiles;
+                        ou_job.v_tiles          = factx.vtcm_v_tiles;
+                        ou_job.d_tiles          = factx.vtcm_d_tiles;
+                        ou_job.hmx_scales       = factx.vtcm_hmx_scales_id;
+                        ou_job.n_row_tiles      = n_row_tiles;
+                        ou_job.n_col_tiles      = last_cols;
+                        ou_job.n_row_tiles_g_br = n_row_tiles_g_br;
+                        ou_job.n_tiles_per_bc   = n_tiles_per_bc;
+                        ou_job.DV               = DV;
+
+                        TIMER_START(o_update);
+                        hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job));
+                        hmx_queue_pop(hmx_q);
+                        TIMER_STOP(o_update);
+
+                        hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
+                    }
+
+                } else {
+                    // ==================================================================
+                    // Fallback path: sequential with multi-thread HVX phases
+                    // Main thread holds HMX lock, runs HMX inline.
+                    // ==================================================================
+
+                    for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) {
+                        const uint32_t kv_start    = kv_blk * Bc;
+                        const uint32_t kv_rows     = hex_smin(Bc, nek1 - kv_start);
+                        const size_t   n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS);
+
+                        TIMER_START(kv_dma);
+                        dma_queue_pop(dma);  // K
+                        dma_queue_pop(dma);  // V
+                        TIMER_STOP(kv_dma);
+
+                        bool has_mask_dma = false;
+                        MASK_DMA_PUSH(kv_start, kv_rows, has_mask_dma);
+                        DMA_PREFETCH_KV(kv_blk + 1);
+
+                        // K interleave (multi-thread HVX)
+                        TIMER_START(k_interleave);
+                        fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx);
+                        TIMER_STOP(k_interleave);
+
+                        // QK dot (inline HMX on main thread)
+                        TIMER_START(qk_dot);
+                        {
+                            const size_t n_dot_tiles       = (size_t) (DK / 32);
+                            const __fp16 * restrict q_base = factx.vtcm_q_tiles;
+                            const __fp16 * restrict k_base = factx.vtcm_k_tiles;
+                            __fp16 * restrict s_base       = factx.vtcm_s_tiles;
+                            __builtin_assume(n_row_tiles > 0);
+                            __builtin_assume(n_col_tiles > 0);
+                            __builtin_assume(n_dot_tiles > 0);
+
+                            Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_qk);
+                            for (size_t r = 0; r < n_row_tiles; ++r) {
+                                for (size_t c = 0; c < n_col_tiles; ++c) {
+                                    const __fp16 * row_tiles = q_base + r * HMX_FP16_TILE_N_ROWS * DK;
+                                    const __fp16 * col_tiles = k_base + c * HMX_FP16_TILE_N_COLS * DK;
+                                    __fp16 *       out_tile  = s_base + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS;
+                                    for (size_t k = 0; k < n_dot_tiles; ++k) {
+                                        Q6_activation_hf_mxmem_RR((unsigned int) row_tiles, 2047);
+                                        Q6_weight_hf_mxmem_RR((unsigned int) col_tiles, 2047);
+                                        row_tiles += HMX_FP16_TILE_N_ELMS;
+                                        col_tiles += HMX_FP16_TILE_N_ELMS;
+                                    }
+                                    Q6_mxmem_AR_after_hf(out_tile, 0);
+                                }
+                            }
+                        }
+                        TIMER_STOP(qk_dot);
+
+                        // Pop mask DMA
+                        MASK_DMA_POP(has_mask_dma);
+
+                        // Softmax + build_D (multi-thread HVX + serial m/l update)
+                        fa_softmax_args_t sargs;
+                        memset(&sargs, 0, sizeof(sargs));
+                        sargs.factx                = &factx;
+                        sargs.kv_rows              = kv_rows;
+                        sargs.n_rows_g             = n_rows_g;
+                        sargs.n_col_tiles          = n_col_tiles;
+                        sargs.n_tiles_per_bc       = n_tiles_per_bc;
+                        sargs.n_row_tiles          = n_row_tiles;
+                        sargs.n_row_tiles_g_br     = n_row_tiles_g_br;
+                        sargs.Bc                   = Bc;
+                        sargs.G                    = G;
+                        sargs.kv_head              = kv_head;
+                        sargs.kv_start             = kv_start;
+                        sargs.q_start              = q_start;
+                        sargs.ib3                  = ib3;
+                        sargs.has_alibi            = (factx.max_bias != 0.0f);
+                        sargs.mask                 = mask;
+                        sargs.mask_vtcm            = has_mask_dma ? (const __fp16 *) factx.vtcm_mask_buf : NULL;
+                        sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride;
+                        sargs.slopes               = factx.vtcm_slopes;
+                        fa_compute_slopes(&sargs, &factx, kv_head, n_rows_g);
+
+                        TIMER_START(softmax);
+                        fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br);
+                        TIMER_STOP(softmax);
+
+                        // V interleave (multi-thread HVX)
+                        TIMER_START(v_interleave);
+                        // FIX(v-stride): use n_tiles_per_bc (block-invariant) as V tile layout
+                        // stride to match o_update's v_tile access.  Using per-block n_col_tiles
+                        // misplaces DV_tile 1..3 in the last partial KV block.
+                        fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc);
+                        TIMER_STOP(v_interleave);
+
+                        // O update (inline HMX on main thread)
+                        TIMER_START(o_update);
+                        {
+                            const size_t DV_tiles           = (size_t) (DV / 32);
+                            const __fp16 * restrict d_base  = factx.vtcm_d_tiles;
+                            const __fp16 * restrict p_base  = factx.vtcm_p_tiles;
+                            const __fp16 * restrict v_base  = factx.vtcm_v_tiles;
+                            const __fp16 * restrict op_base = o_tile_prev;
+                            __fp16 * restrict oc_base       = o_tile_curr;
+                            __builtin_assume(n_row_tiles > 0);
+                            __builtin_assume(n_col_tiles > 0);
+                            __builtin_assume(DV_tiles > 0);
+
+                            Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id);
+                            for (size_t r = 0; r < n_row_tiles; ++r) {
+                                for (size_t c = 0; c < DV_tiles; ++c) {
+                                    const __fp16 * d_diag = d_base  + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+                                    const __fp16 * o_rc   = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+                                    Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047);
+                                    Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047);
+
+                                    const __fp16 * p_tile_in = p_base + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
+                                    const __fp16 * v_tile_in = v_base + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
+                                    for (size_t k = 0; k < n_col_tiles; ++k) {
+                                        Q6_activation_hf_mxmem_RR((unsigned int) p_tile_in, 2047);
+                                        Q6_weight_hf_mxmem_RR((unsigned int) v_tile_in, 2047);
+                                        p_tile_in += HMX_FP16_TILE_N_ELMS;
+                                        v_tile_in += HMX_FP16_TILE_N_ELMS;
+                                    }
+
+                                    __fp16 * o_tile_out = oc_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+                                    Q6_mxmem_AR_after_hf(o_tile_out, 0);
+                                }
+                            }
+                            hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
+                        }
+                        TIMER_STOP(o_update);
+
+                        buf_idx = 1 - buf_idx;
+                    }  // end KV block loop (fallback)
+                }
+
+                // ---- Final normalization: O = diag(1/l) @ O ----
+                TIMER_START(o_norm);
+                {
+                    fa_build_d_diag_inv_l(&factx, n_row_tiles, n_row_tiles_g_br);
+
+                    // HMX: O_final = diag(1/l) @ O_prev
+                    if (factx.use_pipeline) {
+                        on_job.o_curr           = o_tile_curr;
+                        on_job.o_prev           = o_tile_prev;
+                        on_job.d_tiles          = factx.vtcm_d_tiles;
+                        on_job.hmx_scales       = factx.vtcm_hmx_scales_id;
+                        on_job.n_row_tiles      = n_row_tiles;
+                        on_job.n_row_tiles_g_br = n_row_tiles_g_br;
+                        on_job.DV               = DV;
+                        hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_fa_o_norm_worker, &on_job));
+                        hmx_queue_pop(ctx->hmx_queue);
+                    } else {
+                        const size_t DV_tiles           = (size_t) (DV / 32);
+                        const __fp16 * restrict d_base  = factx.vtcm_d_tiles;
+                        const __fp16 * restrict op_base = o_tile_prev;
+                        __fp16 * restrict oc_base       = o_tile_curr;
+                        __builtin_assume(n_row_tiles > 0);
+                        __builtin_assume(DV_tiles > 0);
+
+                        Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id);
+                        for (size_t r = 0; r < n_row_tiles; ++r) {
+                            for (size_t c = 0; c < DV_tiles; ++c) {
+                                const __fp16 * d_diag = d_base  + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
+                                const __fp16 * o_rc   = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
+                                __fp16 *       o_out  = oc_base + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS;
+
+                                Q6_activation_hf_mxmem_RR((unsigned int) d_diag, 2047);
+                                Q6_weight_hf_mxmem_RR((unsigned int) o_rc, 2047);
+                                Q6_mxmem_AR_after_hf(o_out, 0);
+                            }
+                        }
+                    }
+                }
+                TIMER_STOP(o_norm);
+
+                // ---- Store O block ----
+                TIMER_START(o_store);
+                fa_phase_o_store(&factx, dst, o_tile_curr, q_start, kv_head, ib3, n_rows_g);
+                TIMER_STOP(o_store);
+
+#undef MASK_DMA_PUSH
+#undef MASK_DMA_POP
+#undef DMA_PREFETCH_KV
+
+            }  // end Q block loop
+        }  // end KV head loop
+    }  // end batch loop
+
+    if (factx.use_pipeline) {
+        hmx_queue_suspend(ctx->hmx_queue);
+    } else {
+        HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+    }
+
+    TIMER_STOP(total);
+
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "hmx-fa: %lld us, q_load=%lld kv_dma=%lld k_interleave=%lld v_interleave=%lld", TIMER_US(total),
+         TIMER_US(q_load), TIMER_US(kv_dma), TIMER_US(k_interleave), TIMER_US(v_interleave));
+    FARF(HIGH, "  qk_dot=%lld softmax=%lld o_update=%lld o_norm=%lld o_store=%lld", TIMER_US(qk_dot), TIMER_US(softmax),
+         TIMER_US(o_update), TIMER_US(o_norm), TIMER_US(o_store));
+#endif
+
+    return HTP_STATUS_OK;
+}
diff --git a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
index 4ff2b36de..9e8c9966e 100644
--- a/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
+++ b/ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
@@ -16,16 +16,20 @@
 #include "ggml-common.h"
 
 #include "hex-dma.h"
+#include "worker-pool.h"
+
 #include "hvx-utils.h"
 #include "hvx-dump.h"
-#include "worker-pool.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 
-#include "hmx-utils.h"
 #include "hmx-ops.h"
+#include "hmx-utils.h"
+#include "hmx-queue.h"
 #include "hmx-profile.h"
 
+#include "vtcm-utils.h"
+
 static const __fp16 q4_0_to_fp16_lut[64] __attribute__((aligned(VLEN))) = {
     -8, 0, -7, 0, -6, 0, -5, 0, -4, 0, -3, 0, -2, 0, -1, 0, 0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7, 0,
 };
@@ -41,39 +45,11 @@ static const __fp16 iq4_nl_to_fp16_lut[64] __attribute__((aligned(VLEN))) = {
     1,    0, 13,   0, 25,  0, 38,  0, 53,  0, 69,  0, 89,  0, 113, 0,
 };
 
-// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile.
-// word[i] = i*128 maps K-row-pair i to byte offset i*128 in the tile.
-// Column offset (n*4) is added at runtime.  Only entries 0..15 are used (masked by predicate).
-static const int32_t weight_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = {
-    0*128,  1*128,  2*128,  3*128,  4*128,  5*128,  6*128,  7*128,
-    8*128,  9*128, 10*128, 11*128, 12*128, 13*128, 14*128, 15*128,
-    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
-};
-
 // Scales per x4x2 logical block: 8 × sizeof(__fp16) = 16 bytes
 #define HMX_X4X2_SCALES_PER_BLK  8
 #define HMX_X4X2_DBLK_SIZE       16  // 8 * 2 bytes (fp16 scales for Q4_0/Q8_0/IQ4_NL)
 #define HMX_X4X2_MXFP4_EBLK_SIZE 8   // 8 * 1 byte  (E8M0 scales for MXFP4)
 
-static inline void swap_ptr(void **p1, void **p2) {
-    void *t = *p1;
-    *p1     = *p2;
-    *p2     = t;
-}
-
-typedef struct {
-    uint8_t       *dst;
-    const uint8_t *src;
-    dma_queue     *dma;
-    size_t         n_rows;
-    size_t         src_stride;   // DDR row stride (full row_stride)
-    size_t         dst_stride;   // VTCM sub-block row stride
-    size_t         quant_off;    // quant byte offset in each DDR row
-    size_t         quant_width;  // quant bytes to copy per row
-    size_t         scale_off;    // scale byte offset in each DDR row
-    size_t         scale_width;  // scale bytes to copy per row
-} qweight_fetch_task_state_t;
-
 // Compute the byte stride of one row in x4x2 format.
 // Numerically equals ggml_row_size(type, k) when k is 256-aligned, because
 // x4x2 packing has the same density as block_q4_0 / block_q8_0.
@@ -109,36 +85,45 @@ static inline bool hmx_add_overflow(size_t a, size_t b, size_t *out) {
     return false;
 }
 
-// Search for optimal (mc, nc) chunk sizes that maximize mc * nc within VTCM budget.
+// Search for optimal (mc, nc) chunk sizes within VTCM budget.
+//
+// VTCM model: nc * per_n_cost + mc * per_m_cost + mc * nc * per_mn_cost + overhead
 //
-// Cost model: total = nc * per_n_cost + mc * per_m_cost + mc * nc * per_mn_cost + overhead
-//   per_n_cost:  bytes per nc column (weight + scratch buffers)
-//   per_m_cost:  bytes per mc row (activation)
-//   per_mn_cost: bytes per mc*nc element (output)
-//   overhead:    fixed bytes (scales 256B, eye_tile 2048B, etc.)
+// Minimize ceil(m/mc) * m_block_cost + ceil(n/nc) * n_block_cost.
+// All matmul paths repeat weight processing per M-block and activation loading
+// per N-block, so discrete block counts drive total overhead.
+// Tie-break: when cost is equal, prefer larger mc * nc.
+//
+// Caller-provided coefficients:
+//   m_block_cost: penalty per extra M-block (weight redundancy, scales with n).
+//   n_block_cost: penalty per extra N-block (activation redundancy, scales with m).
 //
 // Algorithm: nc sweeps from n_max down by 32, analytically solving for mc_max.
 // Returns 0 on success, -1 if VTCM is insufficient.
-static int hmx_compute_chunks(
-    size_t vtcm_total, size_t overhead,
-    size_t per_n_cost, size_t per_m_cost, size_t per_mn_cost,
-    int m, int n,
-    size_t *m_chunk_out, size_t *n_chunk_out,
-    size_t *total_out)
-{
+static int hmx_compute_chunks(size_t   vtcm_total,
+                              size_t   overhead,
+                              size_t   per_n_cost,
+                              size_t   per_m_cost,
+                              size_t   per_mn_cost,
+                              int      m,
+                              int      n,
+                              size_t   m_block_cost,
+                              size_t   n_block_cost,
+                              size_t * m_chunk_out,
+                              size_t * n_chunk_out,
+                              size_t * total_out) {
     if (m <= 0 || n <= 0) return -1;
     if (vtcm_total <= overhead) return -1;
     if (per_n_cost == 0 || per_m_cost == 0 || per_mn_cost == 0) return -1;
 
     const size_t usable = vtcm_total - overhead;
-    size_t best_mn = 0, best_m = 0, best_n = 0;
+
+    size_t best_cost = SIZE_MAX;
+    size_t best_mn   = 0;
+    size_t best_m = 0, best_n = 0;
 
     const size_t n_max = hex_align_down((size_t)n, HMX_FP16_TILE_N_COLS);
     for (size_t nc = n_max; nc >= HMX_FP16_TILE_N_COLS; nc -= HMX_FP16_TILE_N_COLS) {
-        // Early exit: if nc * m_max cannot beat best, smaller nc won't either
-        if (nc * hex_align_down((size_t)m, HMX_FP16_TILE_N_ROWS) <= best_mn)
-            break;
-
         size_t n_fixed = 0, ncmn = 0, mc_denom = 0;
         if (hmx_mul_overflow(nc, per_n_cost, &n_fixed)) continue;
         if (n_fixed >= usable) goto next_nc;
@@ -152,10 +137,19 @@ static int hmx_compute_chunks(
             mc = hex_align_down(mc, HMX_FP16_TILE_N_ROWS);
             mc = hex_smin(mc, (size_t)m);
 
-            if (mc > 0 && mc * nc > best_mn) {
-                best_mn = mc * nc;
-                best_m  = mc;
-                best_n  = nc;
+            if (mc == 0) {
+                goto next_nc;
+            }
+
+            size_t mblocks = ((size_t) m + mc - 1) / mc;
+            size_t nblocks = ((size_t) n + nc - 1) / nc;
+            size_t cost    = mblocks * m_block_cost + nblocks * n_block_cost;
+            size_t mn      = mc * nc;
+            if (cost < best_cost || (cost == best_cost && mn > best_mn)) {
+                best_cost = cost;
+                best_mn   = mn;
+                best_m    = mc;
+                best_n    = nc;
             }
         }
 
@@ -181,46 +175,6 @@ static int hmx_compute_chunks(
     return 0;
 }
 
-// forward declaration – defined after transfer_activation_chunk_fp32_to_fp16
-void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride);
-
-// Scatter row-major FP16 weight (already in VTCM scratch) directly into transposed [K][N] tiles.
-// vtcm_src: [n_cols][k] row-major fp16 in VTCM scratch buffer
-// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16
-static void interleave_fp16_weight_chunk_to_tiles(__fp16 *restrict vtcm_dst,
-                                                   const __fp16 *restrict vtcm_src,
-                                                   int n_cols, int k) {
-    assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
-    assert(k % HMX_FP16_TILE_N_COLS == 0);
-
-    const int n_k_tiles = k / HMX_FP16_TILE_N_COLS;
-    const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets);
-    const HVX_Vector v_scat_step = Q6_V_vsplat_R(4);
-    const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64);
-
-    for (int r = 0; r < n_cols; r += 2) {
-        int ct = r / HMX_FP16_TILE_N_ROWS;       // N-dimension tile index
-        int local_r = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row index
-        const bool next_row_valid = (r + 1) < n_cols;
-
-        // Offset vectors for N-columns local_r and local_r+1, reused across K-tiles.
-        HVX_Vector v_off0 = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
-        HVX_Vector v_off1 = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
-
-        for (int c = 0; c < k; c += HMX_FP16_TILE_N_COLS) {
-            int kt       = c / HMX_FP16_TILE_N_COLS;
-            int tile_idx = ct * n_k_tiles + kt;
-            __fp16 *tile_base = vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS;
-
-            HVX_Vector v0 = hvx_vmemu(vtcm_src + r * k + c);
-            HVX_Vector v1 = next_row_valid ? hvx_vmemu(vtcm_src + (r + 1) * k + c) : Q6_V_vzero();
-
-            Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off0, v0);
-            Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_base, HMX_FP16_TILE_SIZE - 1, v_off1, v1);
-        }
-    }
-}
-
 // --- x4x2 format dequantizers ---
 
 // Dequantize one x4x2 Q4_0 group (32 elements from 32 packed bytes) -> 32 FP16 in first 64 bytes.
@@ -233,7 +187,7 @@ static inline HVX_Vector dequantize_x4x2_q4_0_group_hvx(
     const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
     HVX_Vector v_scales = hvx_vec_splat_f16(*scale);
     // q4x4x2 stores two int4 values per byte. Keep only the selected nibble.
-    HVX_Vector v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq;
+    HVX_Vector v_quants =  Q6_Vub_vlsr_VubR(vq, 4 * upper_nibbles);
     v_quants = Q6_V_vand_VV(v_quants, mask_h4);
     // Shuffle before LUT
     v_quants = Q6_Vb_vshuff_Vb(v_quants);
@@ -257,7 +211,7 @@ static inline void dequantize_x4x2_q4_0_x4groups_hvx(
     // Load all 128 packed bytes (4 contiguous 32-byte groups)
     HVX_Vector vq = hvx_vmemu(packed_128);
     const HVX_Vector mask_h4 = Q6_Vb_vsplat_R(0x0F);
-    HVX_Vector v_quants = upper_nibbles ? Q6_Vub_vlsr_VubR(vq, 4) : vq;
+    HVX_Vector v_quants = Q6_Vub_vlsr_VubR(vq, 4 * upper_nibbles);
     v_quants = Q6_V_vand_VV(v_quants, mask_h4);
 
     // Shuffle before LUT
@@ -277,15 +231,12 @@ static inline void dequantize_x4x2_q4_0_x4groups_hvx(
     v_hi = Q6_Vhf_equals_Vqf16(Q6_Vqf16_vmpy_VhfVhf(v_hi, v_sc23));
 
     // Extract individual groups: scatter uses q_mask64 so only first 64 bytes matter
-    out[0] = v_lo;                      // group0 already in [0:63]
-    out[1] = Q6_V_vror_VR(v_lo, 64);    // group1 rotated to [0:63]
-    out[2] = v_hi;                      // group2 already in [0:63]
-    out[3] = Q6_V_vror_VR(v_hi, 64);    // group3 rotated to [0:63]
+    out[0] = v_lo; // group0 already in [0:63]
+    out[1] = v_hi; // group2 already in [0:63]
 }
 
 // Dequantize one x4x2 Q8_0 group (32 int8 quants) -> 32 FP16 in first 64 bytes.
-static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx(
-        const int8_t *quants_32, const __fp16 *scale) {
+static inline HVX_Vector dequantize_x4x2_q8_0_group_hvx(const int8_t *quants_32, const __fp16 *scale) {
     HVX_Vector vq = hvx_vmemu(quants_32);
     HVX_Vector v_scales = hvx_vec_splat_f16(*scale);
     HVX_Vector v0 = Q6_V_lo_W(Q6_Wh_vunpack_Vb(vq));
@@ -384,8 +335,9 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task(
         size_t row_stride, int weight_type,
         int start_tile, int end_tile) {
 
-    const int n_k_tiles = k_block / HMX_FP16_TILE_N_COLS;
-    const int qrow_size = (weight_type == HTP_TYPE_Q8_0) ? k_block : (k_block / 2);
+    const int n_k_tiles = (unsigned)k_block / HMX_FP16_TILE_N_COLS;
+    const bool is_q4 = (weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL);
+    const int qrow_size = is_q4 ? ((unsigned)k_block / 2) : k_block;
 
     const HVX_Vector vlut_cvt = (weight_type == HTP_TYPE_IQ4_NL) ? hvx_vmem(iq4_nl_to_fp16_lut) :
                                 (weight_type == HTP_TYPE_MXFP4)  ? hvx_vmem(mxfp4_to_fp16_lut) :
@@ -394,51 +346,50 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task(
     // vscatter setup: write dequantized K-values directly to transposed [K][N] tile positions.
     // Each int32 element holds a K-row-pair (2 adjacent fp16 values).  word[i] at offset i*128
     // maps to K-rows 2i and 2i+1.  Column offset (n*4) added per row.
-    const HVX_Vector v_scat_base = hvx_vmem(weight_transpose_scatter_offsets);
-    const HVX_Vector v_scat_step = Q6_V_vsplat_R(4);  // 4 bytes = 1 column step
+    const HVX_Vector v_scat_base  = hvx_vmem(hmx_transpose_scatter_offsets);
+    const HVX_Vector v_scat_step  = Q6_V_vsplat_R(4);  // 4 bytes = 1 column step
     const HVX_VectorPred q_mask64 = Q6_Q_vsetq_R(64);  // first 16 words (64 bytes)
 
-    for (int t = start_tile; t < end_tile; ) {
-        int ct = t / n_k_tiles;  // column tile index
-        int kt = t % n_k_tiles;  // K tile index
+    unsigned ct = (unsigned)start_tile / n_k_tiles;  // column tile index
+    unsigned kt = (unsigned)start_tile % n_k_tiles;  // K tile index
+    for (unsigned t = start_tile; t < end_tile; ) {
+        if (kt >= n_k_tiles) { kt = 0; ct++; }
 
-        // --- Batch-4 fast path for Q4_0/IQ4_NL: process 4 contiguous K-tiles with one vlut16 per row ---
-        if ((weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL) && (kt % 4 == 0) && (t + 4 <= end_tile) &&
-            ((t + 3) / n_k_tiles == ct)) {
-            int blk_idx      = (kt * 32) / QK_Q4_0x4x2;
-            int sub_blk_base = ((kt * 32) % QK_Q4_0x4x2) / 32;  // 0 or 4
-            bool upper       = (sub_blk_base >= 4);
-            int packed_off   = blk_idx * (QK_Q4_0x4x2 / 2);     // 128 contiguous packed bytes
-            int scale_off    = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE
-                             + sub_blk_base * (int)sizeof(__fp16);   // 4 consecutive scales
+        // --- Batch-4 fast path for Q4: process 4 contiguous K-tiles with one vlut16 per row ---
+        if (is_q4 && (kt % 4 == 0) && (t + 4 <= end_tile) && ((t + 3) / n_k_tiles == ct)) {
+            unsigned blk_idx      = (kt * 32) / QK_Q4_0x4x2;
+            unsigned sub_blk_base = ((kt * 32) % QK_Q4_0x4x2) / 32;  // 0 or 4
+            bool upper            = (sub_blk_base >= 4);
+            unsigned packed_off   = blk_idx * (QK_Q4_0x4x2 / 2);     // 128 contiguous packed bytes
+            unsigned scale_off    = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE
+                                  + sub_blk_base * (int)sizeof(__fp16);   // 4 consecutive scales
 
             __fp16 *tile_bases[4];
-            for (int g = 0; g < 4; g++) { tile_bases[g] = vtcm_dst + (t + g) * HMX_FP16_TILE_N_ELMS; }
+            for (unsigned g = 0; g < 4; g++) { tile_bases[g] = vtcm_dst + (t + g) * HMX_FP16_TILE_N_ELMS; }
 
             HVX_Vector v_off = v_scat_base;
-            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) {
-                int row0 = ct * HMX_FP16_TILE_N_COLS + r;
-                int row1 = row0 + 1;
-                const uint8_t *r0 = vtcm_src + row0 * row_stride;
-                const uint8_t *r1 = vtcm_src + row1 * row_stride;
 
-                HVX_Vector v0[4], v1[4];
-                dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0);
-                if (row1 < n_cols) {
-                    dequantize_x4x2_q4_0_x4groups_hvx(r1 + packed_off, upper, (const __fp16 *)(r1 + scale_off), vlut_cvt, v1);
-                } else {
-                    v1[0] = v1[1] = v1[2] = v1[3] = Q6_V_vzero();
-                }
+            unsigned row_offset = ct * HMX_FP16_TILE_N_COLS * row_stride;
+            unsigned row1 = ct * HMX_FP16_TILE_N_COLS + 1;
 
-                for (int g = 0; g < 4; g++) { Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v0[g]); }
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2, row1 += 2) {
+                HVX_Vector v0[2];
+                const uint8_t *r0 = vtcm_src + row_offset; row_offset += row_stride;
+                dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0);
+                Q6_vscatter_RMVwV((size_t)tile_bases[0], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[0]);
+                Q6_vscatter_RMVwV((size_t)tile_bases[2], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[1]);
                 v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
-                for (int g = 0; g < 4; g++) { Q6_vscatter_QRMVwV(q_mask64, (size_t)tile_bases[g], HMX_FP16_TILE_SIZE - 1, v_off, v1[g]); }
+
+
+                r0 = vtcm_src + row_offset; row_offset += row_stride;
+                dequantize_x4x2_q4_0_x4groups_hvx(r0 + packed_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt, v0);
+                Q6_vscatter_RMVwV((size_t)tile_bases[0], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[0]);
+                Q6_vscatter_RMVwV((size_t)tile_bases[2], 2 * HMX_FP16_TILE_SIZE - 1, v_off, v0[1]);
                 v_off = Q6_Vw_vadd_VwVw(v_off, v_scat_step);
             }
 
             for (int g = 0; g < 4; g++) { (void) *(volatile HVX_Vector *)(tile_bases[g]); }
-
-            t += 4;
+            t += 4; kt += 4;
             continue;
         }
 
@@ -495,20 +446,19 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task(
         // --- Single-tile fallback ---
         __fp16 *tile_base = vtcm_dst + t * HMX_FP16_TILE_N_ELMS;
 
-        if (weight_type == HTP_TYPE_Q4_0 || weight_type == HTP_TYPE_IQ4_NL) {
-            int blk_idx  = (kt * 32) / QK_Q4_0x4x2;
-            int sub_blk  = ((kt * 32) % QK_Q4_0x4x2) / 32;
-            bool upper   = (sub_blk >= 4);
-            int byte_off  = blk_idx * (QK_Q4_0x4x2 / 2) + (upper ? (sub_blk - 4) : sub_blk) * 32;
-            int scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16);
+        if (is_q4) {
+            unsigned blk_idx   = (kt * 32) / QK_Q4_0x4x2;
+            unsigned sub_blk   = ((kt * 32) % QK_Q4_0x4x2) / 32;
+            bool upper         = (sub_blk >= 4);
+            unsigned byte_off  = blk_idx * (QK_Q4_0x4x2 / 2) + (upper ? (sub_blk - 4) : sub_blk) * 32;
+            unsigned scale_off = qrow_size + blk_idx * HMX_X4X2_DBLK_SIZE + sub_blk * (int)sizeof(__fp16);
 
             HVX_Vector v_off = v_scat_base;  // reset to column 0
-            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2) {
-                int row0 = ct * HMX_FP16_TILE_N_COLS + r;
-                int row1 = row0 + 1;
-
-                const uint8_t *r0 = vtcm_src + row0 * row_stride;
-                const uint8_t *r1 = vtcm_src + row1 * row_stride;
+            unsigned row_offset = ct * HMX_FP16_TILE_N_COLS * row_stride;
+            unsigned row1 = ct * HMX_FP16_TILE_N_COLS + 1;
+            for (int r = 0; r < HMX_FP16_TILE_N_ROWS; r += 2, row1 += 2) {
+                const uint8_t *r0 = vtcm_src + row_offset; row_offset += row_stride;
+                const uint8_t *r1 = vtcm_src + row_offset; row_offset += row_stride;
 
                 HVX_Vector v0 = dequantize_x4x2_q4_0_group_hvx(
                     r0 + byte_off, upper, (const __fp16 *)(r0 + scale_off), vlut_cvt);
@@ -585,7 +535,7 @@ static void dequantize_x4x2_weight_to_fp16_tiles_task(
             }
             (void) *(volatile HVX_Vector *)(tile_base);
         }
-        ++t;
+        ++t; ++kt;
     }
 
     // Drain HVX scatter write buffer: a vmem load on the same HW thread retires
@@ -630,9 +580,9 @@ static void dequantize_x4x2_weight_chunk_to_fp16_tiles(
     assert(n_cols  % HMX_FP16_TILE_N_COLS == 0);
     assert(k_block % HMX_FP16_TILE_N_COLS == 0);
 
-    int n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS;
-    int n_k_tiles   = k_block / HMX_FP16_TILE_N_COLS;
-    int n_tot_tiles = n_col_tiles * n_k_tiles;
+    size_t n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS;
+    size_t n_k_tiles   = k_block / HMX_FP16_TILE_N_COLS;
+    size_t n_tot_tiles = n_col_tiles * n_k_tiles;
 
     size_t n_tiles_per_task = hmx_ceil_div(n_tot_tiles, ctx->n_threads);
 
@@ -640,12 +590,12 @@ static void dequantize_x4x2_weight_chunk_to_fp16_tiles(
     state.n_tasks          = (n_tot_tiles + n_tiles_per_task - 1) / n_tiles_per_task;
     state.n_tot_tiles      = n_tot_tiles;
     state.n_tiles_per_task = n_tiles_per_task;
-    state.dst         = vtcm_dst;
-    state.src         = (const uint8_t *)vtcm_src;
-    state.n_cols      = n_cols;
-    state.k_block     = k_block;
-    state.row_stride  = row_stride;
-    state.weight_type = weight_type;
+    state.dst              = vtcm_dst;
+    state.src              = (const uint8_t *)vtcm_src;
+    state.n_cols           = n_cols;
+    state.k_block          = k_block;
+    state.row_stride       = row_stride;
+    state.weight_type      = weight_type;
 
     worker_pool_run_func(ctx->worker_pool, dequantize_x4x2_worker_loop, &state, ctx->n_threads);
 }
@@ -653,49 +603,91 @@ static void dequantize_x4x2_weight_chunk_to_fp16_tiles(
 // --- End x4x2 dequantizers ---
 
 // requires external HMX lock
-static void core_dot_chunk_fp16(__fp16 *output, const __fp16 *activation, const __fp16 *weight, const __fp16 *scales,
+static void core_dot_chunk_fp16(__fp16 *restrict output, const __fp16 *restrict activation, const __fp16 *restrict weight, const __fp16 *restrict scales,
                                 int n_row_tiles, int n_col_tiles, int n_dot_tiles) {
-    hmx_set_output_scales(scales);
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(n_dot_tiles > 0);
 
+    Q6_bias_mxmem2_A((void *)scales);
     for (int r = 0; r < n_row_tiles; ++r) {
-        for (int c = 0; c < n_col_tiles; ++c) {
+        for (size_t c = 0; c < n_col_tiles; ++c) {
             Q6_mxclracc_hf();
 
             const __fp16 *row_tiles = activation + r * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
             const __fp16 *col_tiles = weight + c * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
 
             for (int k = 0; k < n_dot_tiles; ++k) {
-                int offset = k * HMX_FP16_TILE_N_ELMS;
-                hmx_load_tile_pair_fp16(row_tiles + offset, col_tiles + offset);
+                Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047);
+                row_tiles += HMX_FP16_TILE_N_ELMS;
+                col_tiles += HMX_FP16_TILE_N_ELMS;
             }
 
             __fp16 *out_tile = output + (r * n_col_tiles + c) * HMX_FP16_TILE_N_ELMS;
-            hmx_consume_accumulator_fp16(out_tile);
+            Q6_mxmem_AR_after_hf(out_tile, 0);
         }
     }
 }
 
+// --- Async HMX matmul job (for pipeline overlap) ---
+
+typedef struct {
+    __fp16 *       output;
+    const __fp16 * activation;
+    const __fp16 * weight;
+    const __fp16 * scales;
+    uint32_t       n_row_tiles;
+    uint32_t       n_col_tiles;
+    uint32_t       n_dot_tiles;
+} hmx_matmul_job_t;
+
+static void hmx_matmul_worker_fn(void * data) {
+    hmx_matmul_job_t * job = (hmx_matmul_job_t *) data;
+    FARF(HIGH, "hmx-mm-job: n_row_tiles %u n_col_tiles %u n_dot_tiles %u", job->n_row_tiles, job->n_col_tiles, job->n_dot_tiles);
+    core_dot_chunk_fp16(job->output, job->activation, job->weight, job->scales, job->n_row_tiles, job->n_col_tiles, job->n_dot_tiles);
+}
+
+static inline void hmx_matmul_job_init(hmx_matmul_job_t * job,
+                                       __fp16 *           output,
+                                       const __fp16 *     activation,
+                                       const __fp16 *     weight,
+                                       const __fp16 *     scales,
+                                       int                n_row_tiles,
+                                       int                n_col_tiles,
+                                       int                n_dot_tiles) {
+    job->output      = output;
+    job->activation  = activation;
+    job->weight      = weight;
+    job->scales      = scales;
+    job->n_row_tiles = n_row_tiles;
+    job->n_col_tiles = n_col_tiles;
+    job->n_dot_tiles = n_dot_tiles;
+}
+
+// output : fp16 -> f32p
+
 static void transfer_output_chunk_fp16_to_fp32(float *restrict dst, const __fp16 *restrict vtcm_src, int n_rows, int n_cols, int n) {
     assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
-    const int n_col_tiles = n_cols / HMX_FP16_TILE_N_COLS;
+    const size_t tile_row_stride = (n_cols / HMX_FP16_TILE_N_COLS) * HMX_FP16_TILE_N_ELMS;
 
     const HVX_Vector one = hvx_vec_splat_f16(1.0);
 
-    for (int r = 0; r < n_rows; r += 2) {
-        int r0 = r / HMX_FP16_TILE_N_ROWS;
-        int r1 = r % HMX_FP16_TILE_N_ROWS;
+    for (size_t r = 0; r < n_rows; r += 2) {
+        const size_t r0 = r / HMX_FP16_TILE_N_ROWS;
+        const size_t r1 = (r % HMX_FP16_TILE_N_ROWS) / 2;  // index of the row pair within the tile
+        const __fp16 *row_base = vtcm_src + r0 * tile_row_stride;
+        float *output_row_base = dst + r * n;  // global memory row base for row r (and r+1)
 
         #pragma unroll(4)
-        for (int c = 0; c < n_cols; c += HMX_FP16_TILE_N_COLS) {
-            int c0 = c / HMX_FP16_TILE_N_COLS;
-
-            const __fp16 *tile = vtcm_src + (r0 * n_col_tiles + c0) * HMX_FP16_TILE_N_ELMS;
-
-            HVX_Vector v = ((const HVX_Vector *) tile)[r1 / 2];
+        for (size_t c = 0; c < n_cols; c += HMX_FP16_TILE_N_COLS) {
+            const size_t c0 = c / HMX_FP16_TILE_N_COLS;
+            const __fp16 *tile = row_base + c0 * HMX_FP16_TILE_N_ELMS;
+            HVX_Vector v = ((const HVX_Vector *) tile)[r1];
             HVX_VectorPair vp = Q6_Wqf32_vmpy_VhfVhf(v, one);
 
-            volatile HVX_Vector *pv_out0 = (volatile HVX_Vector *) (dst + (r * n + c + 0));
-            volatile HVX_Vector *pv_out1 = (volatile HVX_Vector *) (dst + (r * n + c + n));  // next row in global memory
+            volatile HVX_Vector *pv_out0 = (volatile HVX_Vector *) (output_row_base + c + 0);
+            volatile HVX_Vector *pv_out1 = (volatile HVX_Vector *) (output_row_base + c + n);  // next row in global memory
 
             *pv_out0 = Q6_Vsf_equals_Vqf32(Q6_V_lo_W(vp));
             if (r + 1 < n_rows) {
@@ -733,7 +725,7 @@ static void transfer_output_chunk_threaded(struct htp_context *ctx, float *dst,
     assert(n_cols % HMX_FP16_TILE_N_COLS == 0);
 
     size_t n_tot_chunks      = n_rows;
-    size_t n_chunks_per_task = 32;  // must be multiple of HMX_FP16_TILE_N_ROWS (32)
+    size_t n_chunks_per_task = HMX_FP16_TILE_N_ROWS;  // must be multiple of HMX_FP16_TILE_N_ROWS (32)
 
     output_transfer_task_state_t state;
     state.n_tasks           = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task;
@@ -747,302 +739,440 @@ static void transfer_output_chunk_threaded(struct htp_context *ctx, float *dst,
     worker_pool_run_func(ctx->worker_pool, transfer_output_chunk_worker_fn, &state, ctx->n_threads);
 }
 
-static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) {
-    return params->ne02 > 0 ? params->ne12 / params->ne02 : 1;
-}
+// activations : fp32 -> fp16
 
-static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) {
-    return params->ne03 > 0 ? params->ne13 / params->ne03 : 1;
-}
+static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows, int k_block, int k_stride) {
+    const int n_rows_padded = hex_align_up(n_rows, HMX_FP16_TILE_N_ROWS);
+    const int n_rows_tiled  = (n_rows / HMX_FP16_TILE_N_ROWS) * HMX_FP16_TILE_N_ROWS;
 
-static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
-                                                        int dst_b2, int dst_b3) {
-    const int r2 = hmx_matmul_batch_r2(params);
-    const int r3 = hmx_matmul_batch_r3(params);
-    return (const __fp16 *) ((const uint8_t *) params->permuted_weight +
-                             (size_t) (dst_b2 / r2) * params->src0_nb2 +
-                             (size_t) (dst_b3 / r3) * params->src0_nb3);
-}
+    int r = 0;
 
-static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
-                                                           int dst_b2, int dst_b3) {
-    return (const float *) ((const uint8_t *) params->activation +
-                            (size_t) dst_b2 * params->src1_nb2 +
-                            (size_t) dst_b3 * params->src1_nb3);
-}
+    #pragma unroll(2)
+    for (r = 0; r < n_rows_tiled; r += 2) {
+        int r0 = r / HMX_FP16_TILE_N_ROWS;  // tile row index
+        int r1 = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row idx
 
-static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
-                                              int dst_b2, int dst_b3) {
-    return (float *) ((uint8_t *) params->dst +
-                      (size_t) dst_b2 * params->dst_nb2 +
-                      (size_t) dst_b3 * params->dst_nb3);
-}
+        const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride);
+        const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride);
+        for (int c = 0; c < k_block; c += 32) {
+            HVX_Vector v0 = *pv_in0++;
+            HVX_Vector v1 = *pv_in1++;
 
-static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx,
-                                                      const hmx_matmul_w16a32_batched_params_t *params) {
-    int ret = 0;
-    for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) {
-        for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) {
-            ret = hmx_mat_mul_permuted_w16a32(ctx,
-                                              hmx_matmul_dst_batch_ptr(params, b2, b3),
-                                              hmx_matmul_activation_batch_ptr(params, b2, b3),
-                                              hmx_matmul_weight_batch_ptr(params, b2, b3),
-                                              params->m, params->k, params->n,
-                                              params->act_stride, params->weight_stride);
+            HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1);
+
+            // compute output position
+            int c0       = c / HMX_FP16_TILE_N_COLS;  // tile column index
+            int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0;
+
+            HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS);
+            tile[r1 / 2]     = v_out;
         }
     }
-    return ret;
-}
 
-int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) {
-    if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; }
-    if (!params->m || !params->k || !params->n) { return -1; }
-    if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; }
-    if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; }
-    if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; }
-    if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; }
+    for (; r < n_rows_padded; r += 2) {
+        int r0 = r / HMX_FP16_TILE_N_ROWS;  // tile row index
+        int r1 = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row idx
 
-    if (!hex_is_aligned(params->dst, VLEN) ||
-        !hex_is_aligned(params->activation, VLEN) ||
-        !hex_is_aligned(params->permuted_weight, VLEN)) {
-        return -1;
-    }
+        const bool row0_valid = r       < n_rows;
+        const bool row1_valid = (r + 1) < n_rows;
 
-    const int group_size = hmx_matmul_batch_r2(params);
+        const HVX_Vector *pv_in0 = row0_valid ? (const HVX_Vector *) (src + (r + 0) * k_stride) : NULL;
+        const HVX_Vector *pv_in1 = row1_valid ? (const HVX_Vector *) (src + (r + 1) * k_stride) : NULL;
+        for (int c = 0; c < k_block; c += 32) {
+            HVX_Vector v0 = row0_valid ? *pv_in0++ : Q6_V_vzero();
+            HVX_Vector v1 = row1_valid ? *pv_in1++ : Q6_V_vzero();
 
-    if (group_size <= 1) {
-        FARF(MEDIUM, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size);
-        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+            HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1);
+
+            // compute output position
+            int c0       = c / HMX_FP16_TILE_N_COLS;  // tile column index
+            int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0;
+
+            HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS);
+            tile[r1 / 2]     = v_out;
+        }
     }
+}
 
-    // Grouped path: reuse interleaved weight across all q_heads sharing a
-    // kv_head.  Each q_head gets its own activation buffer in VTCM (so
-    // activation is loaded once per m_chunk and reused across all n_chunks),
-    // and each q_head is computed individually to avoid tile-major packing
-    // issues.  m_chunk_n_rows is always a multiple of 32 (from
-    // hmx_compute_chunks), so per-head tile arrays don't overlap.
-    const size_t vtcm_budget  = ctx->vtcm_scratch_size;
-    const size_t vec_dot_size = params->k * sizeof(__fp16);
+typedef struct {
+    __fp16      *dst;
+    const float *src;
+    int          n_tasks;
+    int          n_tot_chunks;
+    int          n_chunks_per_task;
+    int          k_block;
+    int          k_stride;
+} activation_transfer_task_state_t;
 
-    // When the activation has a large stride (e.g. permuted Q tensor with
-    // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache.
-    // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather
-    // strided rows into a contiguous block before the F32->F16 conversion.
-    const bool use_dma_activation = (params->act_stride > params->k);
-    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0;
+static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) {
+    activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data;
 
-    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
-    if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256,
-                             /*per_n=*/3 * vec_dot_size,
-                             /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m,
-                             /*per_mn=*/sizeof(__fp16),
-                             params->m, params->n,
-                             &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
-        FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__);
-        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+    for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) {
+        // one chunk: one row
+        int    chunk_idx  = task_id * st->n_chunks_per_task;
+        size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task);
+
+        __fp16      *dst = st->dst + chunk_idx * st->k_block;
+        const float *src = st->src + chunk_idx * st->k_stride;
+        transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride);
     }
+}
 
-    const size_t act_head_stride      = m_chunk_n_rows * (size_t) params->k;  // fp16 elements between heads
-    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t f32_scratch_size     = use_dma_activation
-        ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+static void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) {
+    assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0);
+    assert(VLEN == 32 * sizeof(float));
 
-    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
-    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
-    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
-    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
-    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
-    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
-    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
-    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
+    size_t n_tot_chunks      = n_rows;
+    size_t n_chunks_per_task = 32;  // must be multiple of 32 to ensure correct destination address
 
-    if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) {
-        FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__);
-        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
-    }
+    activation_transfer_task_state_t state;
+    state.n_tasks           = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task;
+    state.n_tot_chunks      = n_tot_chunks;
+    state.n_chunks_per_task = n_chunks_per_task;
+    state.dst               = dst;
+    state.src               = src;
+    state.k_block           = k_block;
+    state.k_stride          = k_stride;
 
-    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // fp16: 1.0
+    worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads);
+}
 
-    FARF(MEDIUM, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu",
-            __func__, params->m, params->k, params->n, group_size, params->ne13,
-            m_chunk_n_rows, n_chunk_n_cols,
-            (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget);
+//
 
-    TIMER_DEFINE(activation_load);
-    TIMER_DEFINE(weight_load);
-    TIMER_DEFINE(hmx_core);
-    TIMER_DEFINE(output_store);
-    TIMER_DEFINE(total);
+#define FALLBACK_TO_STANDARD 1
 
-    TIMER_START(total);
+// C += AB
+static void core_mma_chunk_fp16(__fp16 *restrict c, const __fp16 *restrict a, const __fp16 *restrict b,
+                                const __fp16 *restrict col_scales, const __fp16 *restrict eye_tile,
+                                int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) {
+    __builtin_assume(n_row_tiles > 0);
+    __builtin_assume(n_col_tiles > 0);
+    __builtin_assume(n_dot_tiles > 0);
+
+    Q6_bias_mxmem2_A((void *)col_scales);
+
+    const size_t dot_tile_stride = n_dot_tiles * HMX_FP16_TILE_N_ELMS;
+    for (size_t i = 0; i < n_row_tiles; ++i) {
+        const __fp16 *row_base = a + i * dot_tile_stride;
+        __fp16 *res_base = c + i * n_col_tiles * HMX_FP16_TILE_N_ELMS;
+        for (size_t j = 0; j < n_col_tiles; ++j) {
+            Q6_mxclracc_hf();
 
-    const size_t fp16_row_bytes   = (size_t) params->k * sizeof(__fp16);
-    const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16);
+            const __fp16 *col_tiles = b + j * dot_tile_stride;
+            const __fp16 *row_tiles = row_base;
+            __fp16 *accum_tile = res_base + j * HMX_FP16_TILE_N_ELMS;
+            if (!zero_init) {
+                Q6_activation_hf_mxmem_RR((unsigned int)accum_tile, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)eye_tile, 2047);
+            }
 
-    for (int b3 = 0; b3 < params->ne13; ++b3) {
-        for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) {
-            const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3);
+            for (int k = 0; k < n_dot_tiles; ++k) {
+                Q6_activation_hf_mxmem_RR((unsigned int)row_tiles, 2047);
+                Q6_weight_hf_mxmem_RR((unsigned int)col_tiles, 2047);
+                row_tiles += HMX_FP16_TILE_N_ELMS;
+                col_tiles += HMX_FP16_TILE_N_ELMS;
+            }
+            Q6_mxmem_AR_after_hf(accum_tile, 0);
+        }
+    }
+}
 
-            for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) {
-                const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows);
+static __attribute__((noinline)) int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx,
+                                       float *restrict out, const float *restrict x, const uint8_t *restrict w,
+                                       int m, int k, int n, int weight_type) {
+    // assume k % 32 == 0 && n % 32 == 0
+    const size_t row_stride = get_x4x2_row_stride(weight_type, k);
+    if (row_stride == 0) {
+        return -1;
+    }
 
-                // Pre-load activations for all heads in the group (once per m_chunk).
-                // When the source is strided (permuted Q), use 2D DMA to gather
-                // contiguous rows into a VTCM scratch buffer first, then HVX
-                // converts from the contiguous VTCM buffer.  This avoids L2 cache
-                // thrashing from HVX loads at large strides.
-                TIMER_START(activation_load);
-                for (int g = 0; g < group_size; ++g) {
-                    const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride;
-                    __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
-                    if (use_dma_activation) {
-                        const size_t row_bytes    = (size_t) params->k * sizeof(float);
-                        const size_t stride_bytes = (size_t) params->act_stride * sizeof(float);
-                        dma_queue_push(ctx->dma[0],
-                                          dma_make_ptr(vtcm_f32_act, activation_chunk),
-                                          row_bytes, stride_bytes, row_bytes, n_rows);
-                        dma_queue_pop(ctx->dma[0]);
-                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
-                                                              vtcm_f32_act, (int) n_rows,
-                                                              params->k, params->k);
-                    } else {
-                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
-                                                              activation_chunk, (int) n_rows,
-                                                              params->k, params->act_stride);
-                    }
-                }
-                TIMER_STOP(activation_load);
+    const size_t vtcm_budget = ctx->vtcm_size;
 
-                void *buf_curr = vtcm_scratch0;
-                void *buf_next = vtcm_scratch1;
+    const size_t K_BLOCK_SIZE = 1024;
 
-                {
-                    const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols);
-                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, weight_group),
-                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
-                }
+    // Fallback: if k doesn't need K-blocking, out-stationary has no advantage
+    const size_t k_iters_check = (k + K_BLOCK_SIZE - 1) / K_BLOCK_SIZE;
+    if (k_iters_check <= 1) {
+        FARF(HIGH, "%s: K_BLK=%zu >= k=%d, fallback to standard path", __func__, K_BLOCK_SIZE, k);
+        return FALLBACK_TO_STANDARD;
+    }
 
-                HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+    // Dynamic M,N search via hmx_compute_chunks
+    const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE);
+    const size_t per_m  = K_BLOCK_SIZE * sizeof(float)   // scratch1: M×K×4 (act DMA staging F32)
+                        + K_BLOCK_SIZE * sizeof(__fp16); // activation: M×K×2 (F16 tiles)
+    const size_t per_n  = sub_row_stride_alloc           // scratch0: N×sub_row(K) (packed quant)
+                        + K_BLOCK_SIZE * sizeof(__fp16); // weight: N×K×2 (F16 tiles)
+    const size_t per_mn = sizeof(__fp16);                // output: M×N×2 (out-stationary)
+
+    // Alignment margin: hex_align_up can add up to 2047 bytes per buffer;
+    // scratch1 (mc×6144) is naturally 2048-aligned, remaining 4 buffers need margin
+    const size_t align_margin = 4 * HMX_FP16_TILE_SIZE;
+    const size_t overhead     = HMX_FP16_TILE_SIZE + 256 + align_margin;  // eye_tile + scales + alignment
+
+    size_t       M_BLOCK_SIZE, N_BLOCK_SIZE, vtcm_used;
+    // Cost-based search: minimize ceil(m/mc)*m_block_cost + ceil(n/nc)*n_block_cost.
+    // From profiling: wt_dequant per element ≈ 1.5× activation load per element.
+    // m_block_cost = n*3: each extra M-block re-dequants all N×K weight (expensive).
+    // n_block_cost = m*2: each extra N-block re-loads all M×K activation (cheaper).
+    const size_t m_block_cost = (size_t) n * 3;
+    const size_t n_block_cost = (size_t) m * 2;
+    if (hmx_compute_chunks(vtcm_budget, overhead, per_n, per_m, per_mn,
+                           hex_align_up(m, HMX_FP16_TILE_N_ROWS), n,
+                           m_block_cost, n_block_cost, &M_BLOCK_SIZE,
+                           &N_BLOCK_SIZE, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
+        return -1;
+    }
 
-                for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) {
-                    const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols);
+    // Compute precise buffer sizes from searched M,N and fixed K
+    const size_t weight_size  = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t act_size     = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t out_size     = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch0_sz  = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE);
+    const size_t scratch1_sz  = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE);
 
-                    TIMER_START(weight_load);
-                    {
-                        dma_queue_pop(ctx->dma[0]);
+    const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256;
+    if (total_vtcm > vtcm_budget) {
+        FARF(HIGH, "%s: VTCM overflow after search: need %zu have %zu (M=%zu N=%zu K=%zu)", __func__, total_vtcm,
+                    vtcm_budget, M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE);
+        return -1;
+    }
 
-                        const size_t nc_next = nc + n_chunk_n_cols;
-                        if (nc_next < (size_t) params->n) {
-                            const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols);
-                            const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride;
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size);
+    uint8_t *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz);
+    uint8_t *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz);
+    __fp16  *vtcm_eye_tile   = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE);
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget);
 
-                            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
-                                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
-                        }
+    FARF(HIGH, "hmx-mm: m=%d k=%d n=%d wtype=%d block M=%zu N=%zu K=%zu vtcm=%zu/%zu", m, k, n, weight_type,
+         M_BLOCK_SIZE, N_BLOCK_SIZE, K_BLOCK_SIZE, (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget);
 
-                        interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k);
-                        swap_ptr(&buf_curr, &buf_next);
-                    }
-                    TIMER_STOP(weight_load);
+    // initialize eye tile (32x32 identity matrix)
+    {
+        HVX_Vector v;
+        v = Q6_V_vzero();
+        v = Q6_Vw_vinsert_VwR(v, 0x3c000000);
+        v = Q6_V_vror_VR(v, VLEN - 4);
+        v = Q6_Vw_vinsert_VwR(v, 0x00003c00);
+        for (int i = 0; i < 16; ++i) {
+            ((HVX_Vector *) vtcm_eye_tile)[i] = v;
+            v = Q6_V_vror_VR(v, VLEN - 8);
+        }
+    }
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
 
-                    // Reuse the interleaved weight for every q_head in this GQA group
-                    for (int g = 0; g < group_size; ++g) {
-                        TIMER_START(hmx_core);
-                        {
-                            const __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
-                            const int n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS);
-                            const int n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS);
-                            core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales,
-                                                n_row_tiles, n_col_tiles, params->k / 32);
-                        }
-                        TIMER_STOP(hmx_core);
+    TIMER_DEFINE(fetch);
+    TIMER_DEFINE(act_load);
+    TIMER_DEFINE(wt_dequant);
+    TIMER_DEFINE(core);
 
-                        TIMER_START(output_store);
-                        {
-                            float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc;
-                            transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride);
-                        }
-                        TIMER_STOP(output_store);
-                    }
+    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+
+    for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) {
+        size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE);
+        for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) {
+            size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE);
+
+            const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS);
+            const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS);
+
+            for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) {
+                const size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE);
+
+                TIMER_START(fetch);
+                // fetch activation block into VTCM
+                {
+                    const float *activation_block = x + mr * k + kk;
+
+                    dma_queue_push(ctx->dma[0],
+                                     dma_make_ptr(vtcm_scratch1, activation_block),
+                                     k_blk_sz * sizeof(float),
+                                     k * sizeof(float),
+                                     k_blk_sz * sizeof(float),
+                                     m_blk_sz);
+                }
+
+                // fetch weight block into VTCM (x4x2 sub-block: quants + scales)
+                const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz);
+                {
+                    const int blk_start       = kk / QK_Q4_0x4x2;
+                    const int nb_sub          = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2;
+                    const int  full_qrow      = (weight_type == HTP_TYPE_Q8_0) ? k : (k / 2);
+                    const int  scale_blk_size = (weight_type == HTP_TYPE_MXFP4) ? HMX_X4X2_MXFP4_EBLK_SIZE : HMX_X4X2_DBLK_SIZE;
+                    uint8_t       *dst        = vtcm_scratch0;
+                    const uint8_t *src        = w + nc * row_stride;
+                    const size_t  n_rows      = n_blk_sz;
+                    const size_t  src_stride  = row_stride;
+                    const size_t  dst_stride  = sub_row_stride;
+                    const size_t  quant_off   = (weight_type == HTP_TYPE_Q8_0) ? (blk_start * QK_Q8_0x4x2) : (blk_start * (QK_Q4_0x4x2 / 2));
+                    const size_t  quant_width = (weight_type == HTP_TYPE_Q8_0) ? (nb_sub    * QK_Q8_0x4x2) : (nb_sub    * (QK_Q4_0x4x2 / 2));
+                    const size_t  scale_off   = full_qrow + blk_start * scale_blk_size;
+                    const size_t  scale_width = nb_sub * scale_blk_size;
+
+                    // 2D DMA: quants sub-range
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(dst, src + quant_off), dst_stride, src_stride, quant_width, n_rows);
+                    // 2D DMA: scales sub-range
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(dst + quant_width, src + scale_off), dst_stride, src_stride, scale_width, n_rows);
+                }
+                TIMER_STOP(fetch);
+
+                TIMER_START(act_load);
+                // load activation block
+                {
+                    dma_queue_pop(ctx->dma[0]); // wait for act DNA
+                    transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz);
+                }
+                TIMER_STOP(act_load);
+
+                TIMER_START(wt_dequant);
+                // dequantize weight block
+                {
+                    dma_queue_pop(ctx->dma[0]);
+                    dma_queue_pop(ctx->dma[0]);
+                    // vtcm_scratch0 is used to store the qweight chunk
+                    // worker_pool_run_func already returned, so fetch is done
+                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0,
+                                                                n_blk_sz, k_blk_sz, sub_row_stride, weight_type);
+                }
+                TIMER_STOP(wt_dequant);
+
+                // core mma
+                TIMER_START(core);
+                {
+                    core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles,
+                                        n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0);
                 }
+                TIMER_STOP(core);
+            }
 
-                HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+            // store output block
+            {
+                float *output_block = out + (mr * n + nc);
+                transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n);
             }
         }
     }
 
-    TIMER_STOP(total);
+    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
 
 #if defined(ENABLE_PROFILE_TIMERS)
-    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total),
-         params->m, params->k, params->n, group_size);
-    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
-         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+    FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us",
+         TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core));
 #endif
-
-  return 0;
+    return 0;
 }
 
-int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
-                                const __fp16 *restrict permuted_weight, int m, int k, int n,
-                                int act_stride, int weight_stride) {
+int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
+                                     const uint8_t *restrict permuted_weight, int m, int k, int n,
+                                     int weight_type) {
     if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; }
-    if (act_stride < k || weight_stride < k) { return -1; }
     if (k % 32 != 0 || n % 32 != 0) { return -1; }
 
     if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) {
-      return -1;
+        return -1;
+    }
+
+    // for large m, k (e.g. prefill FFN Down), use out-stationary version
+    if (m >= 128 && k > n && n > 1024) {
+        int rc = mat_mul_qk_0_d16a32_out_stationary(ctx, dst, activation, permuted_weight, m, k, n, weight_type);
+        if (rc != FALLBACK_TO_STANDARD) {
+            return rc;  // 0 success, -1 error
+        }
+        FARF(HIGH, "hmx_matmul_qk: out-stationary fallback to standard m=%d k=%d n=%d", m, k, n);
+        // fall through to standard path
+    }
+
+    size_t row_stride = get_x4x2_row_stride(weight_type, k);
+    if (row_stride == 0) {
+        return -1;
     }
 
+    FARF(HIGH, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type);
+
     // --- Dynamic VTCM layout ---
-    const size_t vtcm_budget  = ctx->vtcm_scratch_size;
-    const size_t vec_dot_size = k * sizeof(__fp16);
+    const size_t vtcm_budget   = ctx->vtcm_size;
+    const size_t vec_dot_size  = k * sizeof(__fp16);
 
-    // DMA-based activation gather for strided tensors (see batched path comment).
-    const bool use_dma_activation = (act_stride > k);
-    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0;
+    // Pipeline = 4-stage DMA→dequant→HMX→store with HMX worker overlap.
+    // Only pays off when the chunker yields >=2 n-chunks, so the main loop can
+    // overlap HMX (C) with HVX (B/D); with a single n-chunk the extra VTCM for
+    // double-buffered output and the worker-dispatch overhead are pure loss.
+    // Try pipeline costs first; fall back to sequential if the layout collapses
+    // to one n-chunk. m >= 128 floor keeps HMX utilization reasonable.
+    const size_t pipe_per_n  = row_stride + 2 * vec_dot_size;  // Q + S0 + S1 (dequant bufs)
+    const size_t pipe_per_mn = 2 * sizeof(__fp16);             // O x 2 (output double buffer)
+    const size_t seq_per_n   = vec_dot_size + 2 * row_stride;  // W + S0 + S1 (x4x2 DMA bufs)
+    const size_t seq_per_mn  = sizeof(__fp16);                 // O x 1
 
     size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
-    if (hmx_compute_chunks(vtcm_budget,
-                              /*overhead=*/ 256,
-                              /*per_n=*/    3 * vec_dot_size,  // W + S0 + S1
-                              /*per_m=*/    vec_dot_size + f32_scratch_per_m,  // A + optional F32 scratch
-                              /*per_mn=*/   sizeof(__fp16),     // O
-                              m, n,
-                              &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
-        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
-        return -1;
+    bool   use_pipeline = false;
+
+    if (m >= 128) {
+        size_t mc = 0, nc = 0, used = 0;
+        if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, pipe_per_n, /*per_m=*/vec_dot_size, pipe_per_mn,
+                               hex_align_up(m, HMX_FP16_TILE_N_ROWS), n,
+                               /*m_block_cost=*/(size_t) n * 3,
+                               /*n_block_cost=*/(size_t) m * 2, &mc, &nc, &used) == 0 &&
+            hmx_ceil_div((size_t) n, nc) >= 2) {
+            m_chunk_n_rows = mc;
+            n_chunk_n_cols = nc;
+            vtcm_used      = used;
+            use_pipeline   = true;
+        }
     }
 
-    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    if (!use_pipeline) {
+        if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256, seq_per_n, /*per_m=*/vec_dot_size, seq_per_mn,
+                               hex_align_up(m, HMX_FP16_TILE_N_ROWS), n,
+                               /*m_block_cost=*/(size_t) n * 3,
+                               /*n_block_cost=*/(size_t) m * 2, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+            FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
+            return -1;
+        }
+    }
+
+    // Compute precise buffer sizes per execution path
+    const size_t weight_area_size = hex_align_up(
+        n_chunk_n_cols * (use_pipeline ? row_stride : vec_dot_size), HMX_FP16_TILE_SIZE);
     const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t f32_scratch_size     = use_dma_activation
-        ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+    const size_t output_area_size = hex_align_up(
+        m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+
+    size_t scratch0_size, scratch1_size, scratch2_size;
+    if (use_pipeline) {
+        scratch0_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);  // dequant buf 0
+        scratch1_size = scratch0_size;                                                    // dequant buf 1
+        scratch2_size = output_area_size;                                                 // output buf 1
+    } else {
+        scratch0_size = hex_align_up(n_chunk_n_cols * row_stride, HMX_FP16_TILE_SIZE);    // x4x2 DMA buf 0
+        scratch1_size = scratch0_size;                                                    // x4x2 DMA buf 1
+        scratch2_size = 0;                                                                // unused
+    }
 
-    // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch]
     uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
     __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
     __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
     __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
-    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
-    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_size);
+    void    *vtcm_scratch2   = scratch2_size ? vtcm_seq_alloc(&vtcm_ptr, scratch2_size) : NULL;
     __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
-    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
     if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) {
         FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__,
              (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
         return -1;
     }
 
-    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // fp16: 1.0
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
 
-    FARF(MEDIUM, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu",
-         __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols,
+    FARF(HIGH, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+         __func__, m, k, n, weight_type, use_pipeline,
+         m_chunk_n_rows, n_chunk_n_cols,
          (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
 
     TIMER_DEFINE(activation_load);
@@ -1053,236 +1183,35 @@ int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, co
     TIMER_DEFINE(total);
     TIMER_START(total);
 
-    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+    FARF(HIGH, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu",
+         use_pipeline ? "PIPELINE" : "SEQUENTIAL", m_chunk_n_rows, n_chunk_n_cols,
+         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
 
-    for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
-        // transfer activation matrix chunk into VTCM
-        size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+    if (!use_pipeline) {
+        HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+        for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
+            // transfer activation matrix chunk into VTCM
+            const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+            const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
 
-        TIMER_START(activation_load);
-        {
-            const float *activation_chunk = activation + mr * act_stride;
-            if (use_dma_activation) {
-                const size_t row_bytes    = (size_t) k * sizeof(float);
-                const size_t stride_bytes = (size_t) act_stride * sizeof(float);
-                dma_queue_push(ctx->dma[0],
-                                  dma_make_ptr(vtcm_f32_act, activation_chunk),
-                                  row_bytes, stride_bytes, row_bytes, n_rows);
-                dma_queue_pop(ctx->dma[0]);
-                transfer_activation_chunk_threaded(ctx, vtcm_activation,
-                                                      vtcm_f32_act, n_rows, k, k);
-            } else {
-                transfer_activation_chunk_threaded(ctx, vtcm_activation,
-                                                    activation_chunk, n_rows, k, act_stride);
-            }
-        }
-        TIMER_STOP(activation_load);
-
-        const size_t fp16_row_bytes    = (size_t) k * sizeof(__fp16);
-        const size_t weight_row_bytes  = (size_t) weight_stride * sizeof(__fp16);
-
-        void *buf_curr = vtcm_scratch0;
-        void *buf_next = vtcm_scratch1;
-
-        // issue async DMA for the first weight chunk
-        // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow.
-        // The source rows can be strided (e.g. KV-cache K after ggml_permute).
-        {
-            const size_t n_cols_first = hex_smin(n, n_chunk_n_cols);
-
-            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight),
-                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
-        }
-
-        for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) {
-            size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
-
-            TIMER_START(weight_load);
-            {
-                dma_queue_pop(ctx->dma[0]);  // wait until current weight chunk is ready
-
-                // issue async DMA for the next weight chunk (double buffering)
-                const size_t nc_next = nc + n_chunk_n_cols;
-                if (nc_next < n) {
-                    const size_t n_cols_next       = hex_smin(n - nc_next, n_chunk_n_cols);
-                    const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride;
-
-                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
-                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
-                }
-
-                // interleave row-major fp16 from scratch into tile-major in vtcm_weight
-                interleave_fp16_weight_chunk_to_tiles(vtcm_weight, (const __fp16 *)buf_curr, n_cols, k);
-
-                swap_ptr(&buf_curr, &buf_next);
-            }
-            TIMER_STOP(weight_load);
-
-            TIMER_START(hmx_core);
-            {
-                const int n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
-                const int n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
-                core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32);
-            }
-            TIMER_STOP(hmx_core);
-
-            TIMER_START(output_store);
-            {
-                float *output = dst + (mr * n + nc);
-                transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n);
-            }
-            TIMER_STOP(output_store);
-        }
-
-    }
-
-    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
-
-    TIMER_STOP(total);
-
-#if defined(ENABLE_PROFILE_TIMERS)
-    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n);
-    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
-         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
-    {
-        size_t weight_size = (size_t)k * n * sizeof(__fp16);
-        float  bandwidth   = 1e-3f * weight_size / (float)TIMER_US(weight_load);
-        FARF(HIGH, "  weight load bandwidth: %.2f GB/s", bandwidth);
-    }
-#endif
-
-    return 0;
-}
-
-int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m,
-                                       int k, int n, int w_type);
-
-int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
-                                     const uint8_t *restrict permuted_weight, int m, int k, int n,
-                                     int weight_type) {
-    if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; }
-    if (k % 32 != 0 || n % 32 != 0) { return -1; }
-
-    if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) {
-        return -1;
-    }
-
-    // for large m, k (e.g. prefill FFN Down), use out-stationary version
-    if (m >= 128 && k > n && n > 1024) {
-        FARF(MEDIUM, "hmx_matmul_qk: OUT-STATIONARY path m=%d k=%d n=%d type=%d (K_BLOCK=512, %d K-iters with fp16 intermediate)",
-             m, k, n, weight_type, (k + 511) / 512);
-        return mat_mul_qk_0_d16a32_out_stationary(ctx, dst, activation, permuted_weight, m, k, n, weight_type);
-    }
-
-    size_t row_stride = get_x4x2_row_stride(weight_type, k);
-    if (row_stride == 0) {
-        return -1;
-    }
-
-    FARF(MEDIUM, "hmx_matmul_qk: STANDARD path m=%d k=%d n=%d type=%d", m, k, n, weight_type);
-
-    // --- Dynamic VTCM layout ---
-    const size_t vtcm_budget   = ctx->vtcm_scratch_size;
-    const size_t vec_dot_size  = k * sizeof(__fp16);
-    const bool   use_pipeline  = (m >= 128) && (k <= n);
-
-    // Select cost parameters based on execution path
-    size_t per_n_cost, per_mn_cost;
-    if (use_pipeline) {
-        per_n_cost  = row_stride + 2 * vec_dot_size;  // Q + S0 + S1 (dequant bufs)
-        per_mn_cost = 2 * sizeof(__fp16);              // O x 2 (output double buffer)
-    } else {
-        per_n_cost  = vec_dot_size + 2 * row_stride;   // W + S0 + S1 (x4x2 DMA bufs)
-        per_mn_cost = sizeof(__fp16);                   // O x 1
-    }
-
-    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
-    if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256,
-                              per_n_cost, /*per_m=*/vec_dot_size, per_mn_cost,
-                              m, n, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
-        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d pipe=%d budget=%zu)",
-             __func__, m, k, n, use_pipeline, vtcm_budget);
-        return -1;
-    }
-
-    // Compute precise buffer sizes per execution path
-    const size_t weight_area_size = hex_align_up(
-        n_chunk_n_cols * (use_pipeline ? row_stride : vec_dot_size), HMX_FP16_TILE_SIZE);
-    const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
-    const size_t output_area_size = hex_align_up(
-        m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-
-    size_t scratch0_size, scratch1_size, scratch2_size;
-    if (use_pipeline) {
-        scratch0_size = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);  // dequant buf 0
-        scratch1_size = scratch0_size;                                                    // dequant buf 1
-        scratch2_size = output_area_size;                                                 // output buf 1
-    } else {
-        scratch0_size = hex_align_up(n_chunk_n_cols * row_stride, HMX_FP16_TILE_SIZE);    // x4x2 DMA buf 0
-        scratch1_size = scratch0_size;                                                    // x4x2 DMA buf 1
-        scratch2_size = 0;                                                                // unused
-    }
-
-    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
-    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
-    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
-    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
-    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_size);
-    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_size);
-    void    *vtcm_scratch2   = scratch2_size ? vtcm_seq_alloc(&vtcm_ptr, scratch2_size) : NULL;
-    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
-    if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) {
-        FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__,
-             (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
-        return -1;
-    }
-
-    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // fp16: 1.0
-
-    FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d pipe=%d mc=%zu nc=%zu vtcm=%zu/%zu",
-         __func__, m, k, n, weight_type, use_pipeline,
-         m_chunk_n_rows, n_chunk_n_cols,
-         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
-
-    TIMER_DEFINE(activation_load);
-    TIMER_DEFINE(weight_load);
-    TIMER_DEFINE(hmx_core);
-    TIMER_DEFINE(output_store);
-
-    TIMER_DEFINE(total);
-    TIMER_START(total);
-
-    FARF(MEDIUM, "hmx_matmul_qk: %s mc=%zu nc=%zu vtcm=%zu/%zu",
-         use_pipeline ? "PIPELINE" : "SEQUENTIAL", m_chunk_n_rows, n_chunk_n_cols,
-         (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
-
-    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
-
-    if (!use_pipeline) {
-        for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
-            // transfer activation matrix chunk into VTCM
-            size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
-
-            TIMER_START(activation_load);
-            {
-                const float *activation_chunk = activation + mr * k;
-                transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k);
+            TIMER_START(activation_load);
+            {
+                const float *activation_chunk = activation + mr * k;
+                transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k);
             }
             TIMER_STOP(activation_load);
 
             void *buf_curr = vtcm_scratch0;
             void *buf_next = vtcm_scratch1;
 
-            // issue async DDR data transfer for the first weight chunk
-            // NOTE: use 2D DMA (n_cols rows x row_stride bytes) instead of 1D
-            // because UDMA roiwidth is 16-bit and total size can exceed 65535.
             {
                 const size_t n_cols_first = hex_smin(n, n_chunk_n_cols);
                 dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight), row_stride, row_stride, row_stride, n_cols_first);
             }
 
             for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) {
-                size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
+                const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
+                const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
 
                 TIMER_START(weight_load);
                 {
@@ -1301,14 +1230,12 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds
                     // HMX computes C = A x B, where A=[M,K] activation, B=[K,N] weight.
                     dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, buf_curr, n_cols, k, row_stride, weight_type);
 
-                    swap_ptr(&buf_curr, &buf_next);
+                    hex_swap_ptr(&buf_curr, &buf_next);
                 }
                 TIMER_STOP(weight_load);
 
                 TIMER_START(hmx_core);
                 {
-                    const int n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
-                    const int n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
                     core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32);
                 }
                 TIMER_STOP(hmx_core);
@@ -1321,20 +1248,22 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds
                 TIMER_STOP(output_store);
             }
         }
+        HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
     } else {
         // 4-stage pipeline: DMA load (A), dequantize (B), HMX matmul (C), store (D)
-        // stage B and D (dequantize and store) are expected to be on the critical path
+        // HMX compute (C) runs on dedicated worker thread, overlapping with HVX stages (B, D).
 
         // A --> B: vtcm_qweight, 1 buffer
         // B --> C: vtcm_weight0/vtcm_weight1, 2 buffers
         // C --> D: vtcm_output0/vtcm_output1, 2 buffers
 
-        //
-        // LD ||A3|  | B3 ||
-        // MM ||    C2    ||
-        // ST || D1 |     ||
+        // Async timeline (C overlaps B+D):
+        //   main+HVX:   [A0][Act][B0][A1][sub C0][B1‖C0][A2][wait,sub C1][D0+B2‖C1][wait,sub C2][D1‖C2][wait][D2]
+        //   HMX queue:                   [████ C0 ████████][████ C1 ████████████][████ C2 ████████]
 
         int n_chunk_cnt = hmx_ceil_div(n, n_chunk_n_cols);
+        hmx_matmul_job_t job_slots[2];  // persistent double-buffered job descriptors
+
         for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
             const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
 
@@ -1355,31 +1284,34 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds
                 transfer_activation_chunk_threaded(ctx, vtcm_activation, activation_chunk, n_rows, k, k);
             }
 
-            // prologue: B0, A1, C0, B1
+            // prologue: B0, A1, submit C0 (async), B1 (overlaps C0)
             {
-                // B0
+                // B0: wait for DMA, dequant weight chunk 0
                 dma_queue_pop(ctx->dma[0]);
                 dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[0], vtcm_qweight, n_cols_A0, k, row_stride, weight_type);
 
-                // A1
+                // A1: issue DMA for weight chunk 1
                 const size_t n_cols_A1 = hex_smin(n - 1 * n_chunk_n_cols, n_chunk_n_cols);
                 if (1 < n_chunk_cnt) {
                     const uint8_t *qweight_chunk_A1 = permuted_weight + n_chunk_n_cols * row_stride;
                     dma_queue_push(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_A1), row_stride, row_stride, row_stride, n_cols_A1);
                 }
 
-                // C0
-                core_dot_chunk_fp16((__fp16 *) vtcm_output_bufs[0], (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[0], vtcm_scales,
-                         hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS), hmx_ceil_div(n_cols_A0, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                // submit C0 (non-blocking — HMX worker executes in parallel)
+                hmx_matmul_job_init(&job_slots[0], (__fp16 *) vtcm_output_bufs[0], (__fp16 *) vtcm_activation,
+                                    (__fp16 *) vtcm_weight_bufs[0], vtcm_scales,
+                                    hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS),
+                                    hmx_ceil_div(n_cols_A0, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_matmul_worker_fn, &job_slots[0]));
 
-                // B1
+                // B1: DMA pop + dequant (runs in parallel with C0 on HMX worker)
                 if (1 < n_chunk_cnt) {
                     dma_queue_pop(ctx->dma[0]);
                     dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[1], vtcm_qweight, n_cols_A1, k, row_stride, weight_type);
                 }
             }
 
-            // main loop
+            // main loop: wait C_i → submit C_{i+1} → D_i + B_{i+2} (parallel with C_{i+1})
             for (int i = 0; i < n_chunk_cnt; ++i) {
                 const size_t nc    = i * n_chunk_n_cols;
                 const size_t nc_p1 = nc + 1 * n_chunk_n_cols;
@@ -1389,36 +1321,41 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds
                 const size_t n_cols_p1 = hex_smin(n - nc_p1, n_chunk_n_cols);
                 const size_t n_cols_p2 = hex_smin(n - nc_p2, n_chunk_n_cols);
 
-                // issue A_{i+2}
+                // issue A_{i+2}: DMA push (non-blocking)
                 if (i + 2 < n_chunk_cnt) {
                     const uint8_t *qweight_chunk_p2 = permuted_weight + nc_p2 * row_stride;
                     dma_queue_push(ctx->dma[0], dma_make_ptr(vtcm_qweight, qweight_chunk_p2), row_stride, row_stride, row_stride, n_cols_p2);
                 }
 
-                // wait for HMX (C_{i}) -- C_{i} is done
-
-                // result of B_{i+1} (input of C_{i+1}) should be ready now
+                // wait C_i: block until prologue/previous C completes
+                hmx_queue_pop(ctx->hmx_queue);
 
-                // issue C_{i+1}
+                // submit C_{i+1} (non-blocking, overlaps with D_i + B_{i+2} below)
+                // job_slots[(i+1)%2] is safe: C_i just completed, freeing slot i%2's
+                // counterpart — and (i+1)%2 was last used by C_{i-1} which completed
+                // before C_i was submitted.
                 if (i + 1 < n_chunk_cnt) {
-                    core_dot_chunk_fp16((__fp16 *) vtcm_output_bufs[(i + 1) % 2], (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[(i + 1) % 2], vtcm_scales,
-                        hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS), hmx_ceil_div(n_cols_p1, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                    hmx_matmul_job_init(&job_slots[(i + 1) % 2], (__fp16 *) vtcm_output_bufs[(i + 1) % 2],
+                                        (__fp16 *) vtcm_activation, (__fp16 *) vtcm_weight_bufs[(i + 1) % 2],
+                                        vtcm_scales, hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS),
+                                        hmx_ceil_div(n_cols_p1, HMX_FP16_TILE_N_COLS), k / HMX_FP16_TILE_N_ROWS);
+                    hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_matmul_worker_fn, &job_slots[(i + 1) % 2]));
                 }
 
-                // compute D_{i}
+                // D_i: store output (multi-thread HVX, parallel with C_{i+1})
                 float *output_chunk = dst + (mr * n + nc);
                 transfer_output_chunk_threaded(ctx, output_chunk, vtcm_output_bufs[i % 2], n_rows, n_cols, n);
 
-                // wait for DMA (A_{i+2}), compute B_{i+2}
+                // B_{i+2}: DMA pop + dequant (multi-thread HVX, parallel with C_{i+1})
                 if (i + 2 < n_chunk_cnt) {
                     dma_queue_pop(ctx->dma[0]);
                     dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight_bufs[(i + 2) % 2], vtcm_qweight, n_cols_p2, k, row_stride, weight_type);
                 }
             }
         }
-    }
 
-    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
+        hmx_queue_suspend(ctx->hmx_queue);
+    }
 
     TIMER_STOP(total);
 
@@ -1436,270 +1373,418 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx, float *restrict ds
     return 0;
 }
 
-// C += AB
-void core_mma_chunk_fp16(__fp16 *c, const __fp16 *a, const __fp16 *b, const __fp16 *col_scales, const __fp16 *eye_tile,
-                         int n_row_tiles, int n_col_tiles, int n_dot_tiles, bool zero_init) {
+//
 
-    hmx_set_output_scales(col_scales);
+static inline int hmx_matmul_batch_r2(const hmx_matmul_w16a32_batched_params_t *params) {
+    return params->ne02 > 0 ? params->ne12 / params->ne02 : 1;
+}
 
-    for (int i = 0; i < n_row_tiles; ++i) {
-        for (int j = 0; j < n_col_tiles; ++j) {
-            Q6_mxclracc_hf();
+static inline int hmx_matmul_batch_r3(const hmx_matmul_w16a32_batched_params_t *params) {
+    return params->ne03 > 0 ? params->ne13 / params->ne03 : 1;
+}
 
-            const __fp16 *row_tiles = a + i * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
-            const __fp16 *col_tiles = b + j * n_dot_tiles * HMX_FP16_TILE_N_ELMS;
+static inline const __fp16 *hmx_matmul_weight_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                                        int dst_b2, int dst_b3) {
+    const int r2 = hmx_matmul_batch_r2(params);
+    const int r3 = hmx_matmul_batch_r3(params);
+    return (const __fp16 *) ((const uint8_t *) params->permuted_weight +
+                             (size_t) (dst_b2 / r2) * params->src0_nb2 +
+                             (size_t) (dst_b3 / r3) * params->src0_nb3);
+}
 
-            __fp16 *accum_tile = c + (i * n_col_tiles + j) * HMX_FP16_TILE_N_ELMS;
-            if (!zero_init) {
-                hmx_load_tile_pair_fp16(accum_tile, eye_tile);
-            }
+static inline const float *hmx_matmul_activation_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                                           int dst_b2, int dst_b3) {
+    return (const float *) ((const uint8_t *) params->activation +
+                            (size_t) dst_b2 * params->src1_nb2 +
+                            (size_t) dst_b3 * params->src1_nb3);
+}
 
-            for (int k = 0; k < n_dot_tiles; ++k) {
-                int offset = k * HMX_FP16_TILE_N_ELMS;
-                hmx_load_tile_pair_fp16(row_tiles + offset, col_tiles + offset);
-            }
+static inline float *hmx_matmul_dst_batch_ptr(const hmx_matmul_w16a32_batched_params_t *params,
+                                              int dst_b2, int dst_b3) {
+    return (float *) ((uint8_t *) params->dst +
+                      (size_t) dst_b2 * params->dst_nb2 +
+                      (size_t) dst_b3 * params->dst_nb3);
+}
 
-            hmx_consume_accumulator_fp16(accum_tile);
+static int hmx_mat_mul_permuted_w16a32_batched_legacy(struct htp_context *ctx,
+                                                      const hmx_matmul_w16a32_batched_params_t *params) {
+    int ret = 0;
+    for (int b3 = 0; b3 < params->ne13 && ret == 0; ++b3) {
+        for (int b2 = 0; b2 < params->ne12 && ret == 0; ++b2) {
+            ret = hmx_mat_mul_permuted_w16a32(ctx,
+                                              hmx_matmul_dst_batch_ptr(params, b2, b3),
+                                              hmx_matmul_activation_batch_ptr(params, b2, b3),
+                                              hmx_matmul_weight_batch_ptr(params, b2, b3),
+                                              params->m, params->k, params->n,
+                                              params->act_stride, params->weight_stride);
         }
     }
+    return ret;
 }
 
-static void transfer_activation_chunk_fp32_to_fp16(__fp16 *restrict vtcm_dst, const float *restrict src, int n_rows,
-                                           int k_block, int k_stride) {
-    for (int r = 0; r < n_rows; r += 2) {
-        int r0 = r / HMX_FP16_TILE_N_ROWS;  // tile row index
-        int r1 = r % HMX_FP16_TILE_N_ROWS;  // intra-tile row idx
-
-        const bool next_row_valid = (r + 1) < n_rows;
-
-        const HVX_Vector *pv_in0 = (const HVX_Vector *) (src + (r + 0) * k_stride);
-        const HVX_Vector *pv_in1 = (const HVX_Vector *) (src + (r + 1) * k_stride);
-        for (int c = 0; c < k_block; c += 32) {
-            HVX_Vector v0 = *pv_in0++;
-            HVX_Vector v1 = next_row_valid ? *pv_in1++ : Q6_V_vzero();
+int hmx_mat_mul_permuted_w16a32_batched(struct htp_context *ctx, const hmx_matmul_w16a32_batched_params_t *params) {
+    if (!ctx || !params || !params->dst || !params->activation || !params->permuted_weight) { return -1; }
+    if (!params->m || !params->k || !params->n) { return -1; }
+    if (params->act_stride < params->k || params->weight_stride < params->k || params->dst_stride < params->n) { return -1; }
+    if (params->ne02 <= 0 || params->ne03 <= 0 || params->ne12 <= 0 || params->ne13 <= 0) { return -1; }
+    if (params->ne12 % params->ne02 != 0 || params->ne13 % params->ne03 != 0) { return -1; }
+    if (params->k % 32 != 0 || params->n % 32 != 0) { return -1; }
 
-            HVX_Vector v_out = hvx_vec_f32_to_f16_shuff(v0, v1);
+    if (!hex_is_aligned(params->dst, VLEN) ||
+        !hex_is_aligned(params->activation, VLEN) ||
+        !hex_is_aligned(params->permuted_weight, VLEN)) {
+        return -1;
+    }
 
-            // compute output position
-            int c0       = c / HMX_FP16_TILE_N_COLS;  // tile column index
-            int tile_idx = r0 * (k_block / HMX_FP16_TILE_N_COLS) + c0;
+    const int group_size = hmx_matmul_batch_r2(params);
 
-            HVX_Vector *tile = (HVX_Vector *) (vtcm_dst + tile_idx * HMX_FP16_TILE_N_ELMS);
-            tile[r1 / 2]     = v_out;
-        }
+    if (group_size <= 1) {
+        FARF(HIGH, "%s: no dim2 GQA reuse (group=%d), using legacy batched loop", __func__, group_size);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
     }
-}
 
-typedef struct {
-    __fp16      *dst;
-    const float *src;
-    int          n_tasks;
-    int          n_tot_chunks;
-    int          n_chunks_per_task;
-    int          k_block;
-    int          k_stride;
-} activation_transfer_task_state_t;
+    // Grouped path: reuse interleaved weight across all q_heads sharing a
+    // kv_head.  Each q_head gets its own activation buffer in VTCM (so
+    // activation is loaded once per m_chunk and reused across all n_chunks),
+    // and each q_head is computed individually to avoid tile-major packing
+    // issues.  m_chunk_n_rows is always a multiple of 32 (from
+    // hmx_compute_chunks), so per-head tile arrays don't overlap.
+    const size_t vtcm_budget  = ctx->vtcm_size;
+    const size_t vec_dot_size = params->k * sizeof(__fp16);
 
-static void transfer_activation_chunk_worker_fn(unsigned int n, unsigned int i, void *data) {
-    activation_transfer_task_state_t *st = (activation_transfer_task_state_t *) data;
+    // When the activation has a large stride (e.g. permuted Q tensor with
+    // act_stride >> k), HVX vector loads from strided DDR thrash L2 cache.
+    // Allocate an F32 scratch buffer in VTCM and use 2D DMA to gather
+    // strided rows into a contiguous block before the F32->F16 conversion.
+    const bool use_dma_activation = (params->act_stride > params->k);
+    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) params->k * sizeof(float) : 0;
 
-    for (unsigned int task_id = i; task_id < (unsigned int)st->n_tasks; task_id += n) {
-        // one chunk: one row
-        int    chunk_idx  = task_id * st->n_chunks_per_task;
-        size_t chunk_size = hex_smin(st->n_tot_chunks - chunk_idx, st->n_chunks_per_task);
+    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
+    // FP16 weight: interleave and activation load have similar per-element cost.
+    if (hmx_compute_chunks(vtcm_budget, /*overhead=*/256,
+                           /*per_n=*/3 * vec_dot_size,
+                           /*per_m=*/group_size * vec_dot_size + f32_scratch_per_m,
+                           /*per_mn=*/sizeof(__fp16),
+                           hex_align_up(params->m, HMX_FP16_TILE_N_ROWS), params->n,
+                           /*m_block_cost=*/(size_t) params->n,
+                           /*n_block_cost=*/(size_t) params->m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: grouped path does not fit VTCM, falling back to legacy batched loop", __func__);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
+    }
 
-        __fp16      *dst = st->dst + chunk_idx * st->k_block;
-        const float *src = st->src + chunk_idx * st->k_stride;
-        transfer_activation_chunk_fp32_to_fp16(dst, src, chunk_size, st->k_block, st->k_stride);
+    const size_t act_head_stride      = m_chunk_n_rows * (size_t) params->k;  // fp16 elements between heads
+    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t activation_area_size = hex_align_up(group_size * m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t f32_scratch_size     = use_dma_activation
+        ? hex_align_up(m_chunk_n_rows * (size_t) params->k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+
+    uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
+    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
+
+    if ((size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base) > vtcm_budget) {
+        FARF(HIGH, "%s: grouped layout overflowed VTCM, falling back to legacy batched loop", __func__);
+        return hmx_mat_mul_permuted_w16a32_batched_legacy(ctx, params);
     }
-}
 
-void transfer_activation_chunk_threaded(struct htp_context *ctx, __fp16 *dst, const float *src, int n_rows, int k_block, int k_stride) {
-    assert(k_block % HMX_FP16_TILE_N_COLS == 0 && k_stride % HMX_FP16_TILE_N_COLS == 0);
-    assert(VLEN == 32 * sizeof(float));
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
 
-    size_t n_tot_chunks      = n_rows;
-    size_t n_chunks_per_task = 32;  // must be multiple of 32 to ensure correct destination address
+    FARF(HIGH, "%s: grouped path m=%d k=%d n=%d group=%d streams=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+            __func__, params->m, params->k, params->n, group_size, params->ne13,
+            m_chunk_n_rows, n_chunk_n_cols,
+            (size_t) (vtcm_ptr - (uint8_t *) ctx->vtcm_base), vtcm_budget);
 
-    activation_transfer_task_state_t state;
-    state.n_tasks           = (n_tot_chunks + n_chunks_per_task - 1) / n_chunks_per_task;
-    state.n_tot_chunks      = n_tot_chunks;
-    state.n_chunks_per_task = n_chunks_per_task;
-    state.dst               = dst;
-    state.src               = src;
-    state.k_block           = k_block;
-    state.k_stride          = k_stride;
+    TIMER_DEFINE(activation_load);
+    TIMER_DEFINE(weight_load);
+    TIMER_DEFINE(hmx_core);
+    TIMER_DEFINE(output_store);
+    TIMER_DEFINE(total);
 
-    worker_pool_run_func(ctx->worker_pool, transfer_activation_chunk_worker_fn, &state, ctx->n_threads);
-}
+    TIMER_START(total);
 
-int mat_mul_qk_0_d16a32_out_stationary(struct htp_context *ctx, float *restrict out, const float *restrict x, const uint8_t *restrict w, int m,
-                                       int k, int n, int weight_type) {
-    // Runtime check -- k >= 16384 exceeds 2D DMA limit
-    if (k >= 16384) {
-        FARF(HIGH, "%s: k=%d exceeds 2D DMA limit", __func__, k);
-        return -1;
-    }
-    // assume k % 32 == 0 && n % 32 == 0
-    const size_t row_stride = get_x4x2_row_stride(weight_type, k);
-    if (row_stride == 0) {
-        return -1;
+    const size_t fp16_row_bytes   = (size_t) params->k * sizeof(__fp16);
+    const size_t weight_row_bytes = (size_t) params->weight_stride * sizeof(__fp16);
+
+    HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
+
+    for (int b3 = 0; b3 < params->ne13; ++b3) {
+        for (int b2_base = 0; b2_base < params->ne12; b2_base += group_size) {
+            const __fp16 *weight_group = hmx_matmul_weight_batch_ptr(params, b2_base, b3);
+
+            for (size_t mr = 0; mr < (size_t) params->m; mr += m_chunk_n_rows) {
+                const size_t n_rows = hex_smin((size_t) params->m - mr, m_chunk_n_rows);
+                const size_t n_row_tiles = hmx_ceil_div((int) n_rows, HMX_FP16_TILE_N_ROWS);
+
+                // Pre-load activations for all heads in the group (once per m_chunk).
+                // When the source is strided (permuted Q), use 2D DMA to gather
+                // contiguous rows into a VTCM scratch buffer first, then HVX
+                // converts from the contiguous VTCM buffer.  This avoids L2 cache
+                // thrashing from HVX loads at large strides.
+                TIMER_START(activation_load);
+                for (int g = 0; g < group_size; ++g) {
+                    const float *activation_chunk = hmx_matmul_activation_batch_ptr(params, b2_base + g, b3) + mr * params->act_stride;
+                    __fp16 *vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
+                    if (use_dma_activation) {
+                        const size_t row_bytes    = (size_t) params->k * sizeof(float);
+                        const size_t stride_bytes = (size_t) params->act_stride * sizeof(float);
+                        dma_queue_push(ctx->dma[0],
+                                          dma_make_ptr(vtcm_f32_act, activation_chunk),
+                                          row_bytes, stride_bytes, row_bytes, n_rows);
+                        dma_queue_pop(ctx->dma[0]);
+                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
+                                                              vtcm_f32_act, (int) n_rows,
+                                                              params->k, params->k);
+                    } else {
+                        transfer_activation_chunk_threaded(ctx, vtcm_act_g,
+                                                              activation_chunk, (int) n_rows,
+                                                              params->k, params->act_stride);
+                    }
+                }
+                TIMER_STOP(activation_load);
+
+                void *buf_curr = vtcm_scratch0;
+                void *buf_next = vtcm_scratch1;
+
+                {
+                    const size_t n_cols_first = hex_smin((size_t) params->n, n_chunk_n_cols);
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, weight_group),
+                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
+                }
+
+                for (size_t nc = 0; nc < (size_t) params->n; nc += n_chunk_n_cols) {
+                    const size_t n_cols = hex_smin((size_t) params->n - nc, n_chunk_n_cols);
+                    const size_t n_col_tiles = hmx_ceil_div((int) n_cols, HMX_FP16_TILE_N_COLS);
+
+                    TIMER_START(weight_load);
+                    {
+                        dma_queue_pop(ctx->dma[0]);
+
+                        const size_t nc_next = nc + n_chunk_n_cols;
+                        if (nc_next < (size_t) params->n) {
+                            const size_t n_cols_next = hex_smin((size_t) params->n - nc_next, n_chunk_n_cols);
+                            const __fp16 *next_weight_chunk = weight_group + nc_next * params->weight_stride;
+
+                            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
+                                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
+                        }
+
+                        hmx_interleave_rows_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, params->k, params->k,
+                                                 0, n_cols);
+                        hex_swap_ptr(&buf_curr, &buf_next);
+                    }
+                    TIMER_STOP(weight_load);
+
+                    // Reuse the interleaved weight for every q_head in this GQA group
+                    for (int g = 0; g < group_size; ++g) {
+                        TIMER_START(hmx_core);
+                        {
+                            const __fp16 * vtcm_act_g = vtcm_activation + (size_t) g * act_head_stride;
+                            core_dot_chunk_fp16(vtcm_output, vtcm_act_g, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles,
+                                                params->k / 32);
+                        }
+                        TIMER_STOP(hmx_core);
+
+                        TIMER_START(output_store);
+                        {
+                            float *output = hmx_matmul_dst_batch_ptr(params, b2_base + g, b3) + mr * params->dst_stride + nc;
+                            transfer_output_chunk_threaded(ctx, output, vtcm_output, (int) n_rows, (int) n_cols, params->dst_stride);
+                        }
+                        TIMER_STOP(output_store);
+                    }
+                }
+            }
+        }
     }
 
-    const size_t vtcm_budget = ctx->vtcm_scratch_size;
+    HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
 
-    const size_t M_BLOCK_SIZE = 512;
-    const size_t N_BLOCK_SIZE = 512;
-    const size_t K_BLOCK_SIZE = 512;
+    TIMER_STOP(total);
 
-    // Compute precise buffer sizes
-    const size_t sub_row_stride_alloc = get_x4x2_row_stride(weight_type, K_BLOCK_SIZE);
-    const size_t weight_size  = hex_align_up(N_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-    const size_t act_size     = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-    const size_t out_size     = hex_align_up(M_BLOCK_SIZE * N_BLOCK_SIZE * sizeof(__fp16), HMX_FP16_TILE_SIZE);
-    const size_t scratch0_sz  = hex_align_up(N_BLOCK_SIZE * sub_row_stride_alloc, HMX_FP16_TILE_SIZE);
-    const size_t scratch1_sz  = hex_align_up(M_BLOCK_SIZE * K_BLOCK_SIZE * sizeof(float), HMX_FP16_TILE_SIZE);
+#if defined(ENABLE_PROFILE_TIMERS)
+    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d group=%d", __func__, TIMER_US(total),
+         params->m, params->k, params->n, group_size);
+    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
+         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+#endif
 
-    const size_t total_vtcm = weight_size + act_size + out_size + scratch0_sz + scratch1_sz + HMX_FP16_TILE_SIZE + 256;
-    if (total_vtcm > vtcm_budget) {
-        FARF(HIGH, "%s: VTCM too small: need %zu have %zu (m=%d k=%d n=%d)", __func__, total_vtcm, vtcm_budget, m, k, n);
+  return 0;
+}
+
+//
+
+int hmx_mat_mul_permuted_w16a32(struct htp_context *ctx, float *restrict dst, const float *restrict activation,
+                                const __fp16 *restrict permuted_weight, int m, int k, int n,
+                                int act_stride, int weight_stride) {
+    if (!dst || !activation || !permuted_weight || !m || !n || !k) { return -1; }
+    if (act_stride < k || weight_stride < k) { return -1; }
+    if (k % 32 != 0 || n % 32 != 0) { return -1; }
+
+    if (!hex_is_aligned(dst, VLEN) || !hex_is_aligned(activation, VLEN) || !hex_is_aligned(permuted_weight, VLEN)) {
+      return -1;
+    }
+
+    // --- Dynamic VTCM layout ---
+    const size_t vtcm_budget  = ctx->vtcm_size;
+    const size_t vec_dot_size = k * sizeof(__fp16);
+
+    // DMA-based activation gather for strided tensors (see batched path comment).
+    const bool use_dma_activation = (act_stride > k);
+    const size_t f32_scratch_per_m = use_dma_activation ? (size_t) k * sizeof(float) : 0;
+
+    size_t m_chunk_n_rows = 0, n_chunk_n_cols = 0, vtcm_used = 0;
+    // FP16 weight: interleave and activation load have similar per-element cost.
+    if (hmx_compute_chunks(vtcm_budget,
+                           /*overhead=*/256,
+                           /*per_n=*/3 * vec_dot_size,                  // W + S0 + S1
+                           /*per_m=*/vec_dot_size + f32_scratch_per_m,  // A + optional F32 scratch
+                           /*per_mn=*/sizeof(__fp16),                   // O
+                           hex_align_up(m, HMX_FP16_TILE_N_ROWS), n,
+                           /*m_block_cost=*/(size_t) n,
+                           /*n_block_cost=*/(size_t) m, &m_chunk_n_rows, &n_chunk_n_cols, &vtcm_used) != 0) {
+        FARF(HIGH, "%s: VTCM too small (m=%d k=%d n=%d budget=%zu)", __func__, m, k, n, vtcm_budget);
         return -1;
     }
 
+    const size_t weight_area_size     = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t activation_area_size = hex_align_up(m_chunk_n_rows * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t output_area_size     = hex_align_up(m_chunk_n_rows * n_chunk_n_cols * sizeof(__fp16), HMX_FP16_TILE_SIZE);
+    const size_t scratch_area_size    = hex_align_up(n_chunk_n_cols * vec_dot_size, HMX_FP16_TILE_SIZE);
+    const size_t f32_scratch_size     = use_dma_activation
+        ? hex_align_up(m_chunk_n_rows * (size_t) k * sizeof(float), HMX_FP16_TILE_SIZE) : 0;
+
+    // VTCM layout: weight | activation | output | scratch0 | scratch1 | scales | [f32_scratch]
     uint8_t *vtcm_ptr        = (uint8_t *) ctx->vtcm_base;
-    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_size);
-    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, act_size);
-    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, out_size);
-    uint8_t *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch0_sz);
-    uint8_t *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch1_sz);
-    __fp16  *vtcm_eye_tile   = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, HMX_FP16_TILE_SIZE);
+    __fp16  *vtcm_weight     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, weight_area_size);
+    __fp16  *vtcm_activation = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, activation_area_size);
+    __fp16  *vtcm_output     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, output_area_size);
+    void    *vtcm_scratch0   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
+    void    *vtcm_scratch1   = vtcm_seq_alloc(&vtcm_ptr, scratch_area_size);
     __fp16  *vtcm_scales     = (__fp16 *) vtcm_seq_alloc(&vtcm_ptr, 256);
-    assert((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) <= vtcm_budget);
+    float   *vtcm_f32_act    = use_dma_activation ? (float *) vtcm_seq_alloc(&vtcm_ptr, f32_scratch_size) : NULL;
+    if ((size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base) > vtcm_budget) {
+        FARF(ERROR, "%s: vtcm overflow: used=%zu limit=%zu", __func__,
+             (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
+        return -1;
+    }
+
+    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // scale: 1.0, bias: 0.0 in FP16
 
-    FARF(MEDIUM, "%s: m=%d k=%d n=%d wtype=%d vtcm=%zu/%zu",
-         __func__, m, k, n, weight_type,
+    FARF(HIGH, "%s: m=%d k=%d n=%d mc=%zu nc=%zu vtcm=%zu/%zu",
+         __func__, m, k, n, m_chunk_n_rows, n_chunk_n_cols,
          (size_t)(vtcm_ptr - (uint8_t *)ctx->vtcm_base), vtcm_budget);
 
-    // initialize eye tile (32x32 identity matrix)
-    {
-        HVX_Vector v;
-        v = Q6_V_vzero();
-        v = Q6_Vw_vinsert_VwR(v, 0x3c000000);
-        v = Q6_V_vror_VR(v, VLEN - 4);
-        v = Q6_Vw_vinsert_VwR(v, 0x00003c00);
-        for (int i = 0; i < 16; ++i) {
-            ((HVX_Vector *) vtcm_eye_tile)[i] = v;
-            v = Q6_V_vror_VR(v, VLEN - 8);
-        }
-    }
-    hmx_init_column_scales(vtcm_scales, Q6_V_vsplat_R(0x3c00));  // fp16: 1.0
+    TIMER_DEFINE(activation_load);
+    TIMER_DEFINE(weight_load);
+    TIMER_DEFINE(hmx_core);
+    TIMER_DEFINE(output_store);
 
-    TIMER_DEFINE(fetch);
-    TIMER_DEFINE(act_load);
-    TIMER_DEFINE(wt_dequant);
-    TIMER_DEFINE(core);
+    TIMER_DEFINE(total);
+    TIMER_START(total);
 
     HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
 
-    for (size_t mr = 0; mr < m; mr += M_BLOCK_SIZE) {
-        size_t m_blk_sz = hex_smin(m - mr, M_BLOCK_SIZE);
-        for (size_t nc = 0; nc < n; nc += N_BLOCK_SIZE) {
-            size_t n_blk_sz = hex_smin(n - nc, N_BLOCK_SIZE);
+    for (size_t mr = 0; mr < m; mr += m_chunk_n_rows) {
+        // transfer activation matrix chunk into VTCM
+        const size_t n_rows = hex_smin(m - mr, m_chunk_n_rows);
+        const size_t n_row_tiles = hmx_ceil_div(n_rows, HMX_FP16_TILE_N_ROWS);
 
-            const int n_row_tiles = hmx_ceil_div(m_blk_sz, HMX_FP16_TILE_N_ROWS);
-            const int n_col_tiles = hmx_ceil_div(n_blk_sz, HMX_FP16_TILE_N_COLS);
+        TIMER_START(activation_load);
+        {
+            const float *activation_chunk = activation + mr * act_stride;
+            if (use_dma_activation) {
+                const size_t row_bytes    = (size_t) k * sizeof(float);
+                const size_t stride_bytes = (size_t) act_stride * sizeof(float);
+                dma_queue_push(ctx->dma[0],
+                                  dma_make_ptr(vtcm_f32_act, activation_chunk),
+                                  row_bytes, stride_bytes, row_bytes, n_rows);
+                dma_queue_pop(ctx->dma[0]);
+                transfer_activation_chunk_threaded(ctx, vtcm_activation,
+                                                      vtcm_f32_act, n_rows, k, k);
+            } else {
+                transfer_activation_chunk_threaded(ctx, vtcm_activation,
+                                                    activation_chunk, n_rows, k, act_stride);
+            }
+        }
+        TIMER_STOP(activation_load);
 
-            for (size_t kk = 0; kk < k; kk += K_BLOCK_SIZE) {
-                size_t k_blk_sz = hex_smin(k - kk, K_BLOCK_SIZE);
+        const size_t fp16_row_bytes    = (size_t) k * sizeof(__fp16);
+        const size_t weight_row_bytes  = (size_t) weight_stride * sizeof(__fp16);
 
-                TIMER_START(fetch);
-                // fetch activation block into VTCM
-                {
-                    const float *activation_block = x + mr * k + kk;
+        void *buf_curr = vtcm_scratch0;
+        void *buf_next = vtcm_scratch1;
 
-                    dma_queue_push(ctx->dma[0],
-                                     dma_make_ptr(vtcm_scratch1, activation_block),
-                                     k_blk_sz * sizeof(float),
-                                     k * sizeof(float),
-                                     k_blk_sz * sizeof(float),
-                                     m_blk_sz);
-                }
+        // issue async DMA for the first weight chunk
+        // NOTE: use 2D DMA (n_cols rows x fp16_row_bytes) to avoid 16-bit roiwidth overflow.
+        // The source rows can be strided (e.g. KV-cache K after ggml_permute).
+        {
+            const size_t n_cols_first = hex_smin(n, n_chunk_n_cols);
 
-                // fetch weight block into VTCM (x4x2 sub-block: quants + scales)
-                {
-                    qweight_fetch_task_state_t s;
-
-                    const int blk_start = kk / QK_Q4_0x4x2;
-                    const int nb_sub = (k_blk_sz + QK_Q4_0x4x2 - 1) / QK_Q4_0x4x2;
-                    const int    full_qrow      = (weight_type == HTP_TYPE_Q8_0) ? k : (k / 2);
-                    const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz);
-                    const int    scale_blk_size =
-                        (weight_type == HTP_TYPE_MXFP4) ? HMX_X4X2_MXFP4_EBLK_SIZE : HMX_X4X2_DBLK_SIZE;
-
-                    s.dst         = vtcm_scratch0;
-                    s.src         = w + nc * row_stride;
-                    s.n_rows      = n_blk_sz;
-                    s.src_stride  = row_stride;
-                    s.dst_stride  = sub_row_stride;
-                    s.quant_off =
-                        (weight_type == HTP_TYPE_Q8_0) ? (blk_start * QK_Q8_0x4x2) : (blk_start * (QK_Q4_0x4x2 / 2));
-                    s.quant_width =
-                        (weight_type == HTP_TYPE_Q8_0) ? (nb_sub * QK_Q8_0x4x2) : (nb_sub * (QK_Q4_0x4x2 / 2));
-                    s.scale_off   = full_qrow + blk_start * scale_blk_size;
-                    s.scale_width = nb_sub * scale_blk_size;
+            dma_queue_push(ctx->dma[0], dma_make_ptr(buf_curr, permuted_weight),
+                              fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_first);
+        }
 
-                    // 2D DMA: quants sub-range
-                    dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst, s.src + s.quant_off),
-                                      s.dst_stride, s.src_stride, s.quant_width, s.n_rows);
-                    // 2D DMA: scales sub-range
-                    dma_queue_push(ctx->dma[0], dma_make_ptr(s.dst + s.quant_width, s.src + s.scale_off),
-                                      s.dst_stride, s.src_stride, s.scale_width, s.n_rows);
-                }
-                TIMER_STOP(fetch);
+        for (size_t nc = 0; nc < n; nc += n_chunk_n_cols) {
+            const size_t n_cols = hex_smin(n - nc, n_chunk_n_cols);
+            const size_t n_col_tiles = hmx_ceil_div(n_cols, HMX_FP16_TILE_N_COLS);
 
-                TIMER_START(act_load);
-                // load activation block
-                {
-                    dma_queue_pop(ctx->dma[0]); // wait for act DNA
-                    transfer_activation_chunk_threaded(ctx, vtcm_activation, (float *) vtcm_scratch1, m_blk_sz, k_blk_sz, k_blk_sz);
-                }
-                TIMER_STOP(act_load);
+            TIMER_START(weight_load);
+            {
+                dma_queue_pop(ctx->dma[0]);  // wait until current weight chunk is ready
 
-                TIMER_START(wt_dequant);
-                // dequantize weight block
-                {
-                    dma_queue_pop(ctx->dma[0]);
-                    dma_queue_pop(ctx->dma[0]);
-                    // vtcm_scratch0 is used to store the qweight chunk
-                    // worker_pool_run_func already returned, so fetch is done
-                    const size_t sub_row_stride = get_x4x2_row_stride(weight_type, k_blk_sz);
-                    dequantize_x4x2_weight_chunk_to_fp16_tiles(ctx, vtcm_weight, vtcm_scratch0,
-                                                                n_blk_sz, k_blk_sz, sub_row_stride, weight_type);
-                }
-                TIMER_STOP(wt_dequant);
+                // issue async DMA for the next weight chunk (double buffering)
+                const size_t nc_next = nc + n_chunk_n_cols;
+                if (nc_next < n) {
+                    const size_t n_cols_next       = hex_smin(n - nc_next, n_chunk_n_cols);
+                    const __fp16 *next_weight_chunk = permuted_weight + nc_next * weight_stride;
 
-                // core mma
-                TIMER_START(core);
-                {
-                    core_mma_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, vtcm_eye_tile, n_row_tiles,
-                                        n_col_tiles, k_blk_sz / HMX_FP16_TILE_N_COLS, kk == 0);
+                    dma_queue_push(ctx->dma[0], dma_make_ptr(buf_next, next_weight_chunk),
+                                      fp16_row_bytes, weight_row_bytes, fp16_row_bytes, n_cols_next);
                 }
-                TIMER_STOP(core);
+
+                // interleave row-major fp16 from scratch into tile-major in vtcm_weight
+                hmx_interleave_rows_to_tiles(vtcm_weight, (const __fp16 *) buf_curr, n_cols, k, k, 0, n_cols);
+
+                hex_swap_ptr(&buf_curr, &buf_next);
             }
+            TIMER_STOP(weight_load);
 
-            // store output block
+            TIMER_START(hmx_core);
             {
-                float *output_block = out + (mr * n + nc);
-                transfer_output_chunk_threaded(ctx, output_block, vtcm_output, m_blk_sz, n_blk_sz, n);
+                core_dot_chunk_fp16(vtcm_output, vtcm_activation, vtcm_weight, vtcm_scales, n_row_tiles, n_col_tiles, k / 32);
+            }
+            TIMER_STOP(hmx_core);
+
+            TIMER_START(output_store);
+            {
+                float *output = dst + (mr * n + nc);
+                transfer_output_chunk_threaded(ctx, output, vtcm_output, n_rows, n_cols, n);
             }
+            TIMER_STOP(output_store);
         }
+
     }
 
     HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
 
+    TIMER_STOP(total);
+
 #if defined(ENABLE_PROFILE_TIMERS)
-    FARF(HIGH, "fetch: %lld us, act_load: %lld us, wt_dequant: %lld us, core: %lld us",
-         TIMER_US(fetch), TIMER_US(act_load), TIMER_US(wt_dequant), TIMER_US(core));
+    FARF(HIGH, "%s: %lld us, m=%d k=%d n=%d", __func__, TIMER_US(total), m, k, n);
+    FARF(HIGH, "  activation_load: %lld us, weight_load: %lld us, hmx_core: %lld us, output_store: %lld us",
+         TIMER_US(activation_load), TIMER_US(weight_load), TIMER_US(hmx_core), TIMER_US(output_store));
+    {
+        size_t weight_size = (size_t)k * n * sizeof(__fp16);
+        float  bandwidth   = 1e-3f * weight_size / (float)TIMER_US(weight_load);
+        FARF(HIGH, "  weight load bandwidth: %.2f GB/s", bandwidth);
+    }
 #endif
+
     return 0;
 }
diff --git a/ggml/src/ggml-hexagon/htp/hmx-ops.h b/ggml/src/ggml-hexagon/htp/hmx-ops.h
index b36c8d129..1c78ffadd 100644
--- a/ggml/src/ggml-hexagon/htp/hmx-ops.h
+++ b/ggml/src/ggml-hexagon/htp/hmx-ops.h
@@ -7,16 +7,12 @@
 #include <stddef.h>
 #include <stdint.h>
 
-#ifndef restrict
-#  define restrict __restrict
-#endif
+#include "htp-ops.h"
 
 #ifdef __cplusplus
 extern "C" {
 #endif
 
-struct htp_context;  // forward declaration
-
 typedef struct {
     float        *dst;
     const float  *activation;
@@ -65,6 +61,9 @@ int hmx_mat_mul_permuted_qk_0_d16a32(struct htp_context *ctx,
                                       int m, int k, int n,
                                       int weight_type);
 
+// HMX flash attention
+int hmx_flash_attn_ext(struct htp_ops_context * octx);
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/ggml/src/ggml-hexagon/htp/hmx-queue.c b/ggml/src/ggml-hexagon/htp/hmx-queue.c
new file mode 100644
index 000000000..5b1d83a0c
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-queue.c
@@ -0,0 +1,158 @@
+#pragma clang diagnostic ignored "-Wunused-function"
+
+#include <stdbool.h>
+#include <stdlib.h>
+#include <string.h>
+
+#include <qurt_thread.h>
+#include <qurt_futex.h>
+
+#include <HAP_compute_res.h>
+
+#include "hmx-queue.h"
+
+#define QURT_LOWEST_PRIO (254)
+
+static inline void hmx_lock(struct hmx_queue *q)
+{
+    if (!q->hmx_locked) {
+        HAP_compute_res_hmx_lock(q->hap_rctx);
+        q->hmx_locked = true;
+    }
+}
+
+static inline void hmx_unlock(struct hmx_queue *q)
+{
+    if (q->hmx_locked) {
+        HAP_compute_res_hmx_unlock(q->hap_rctx);
+        q->hmx_locked = false;
+    }
+}
+
+static inline void hmx_queue_process(struct hmx_queue *q, bool* killed) {
+    unsigned int ir = atomic_load(&q->idx_read);
+
+    while (ir != atomic_load(&q->idx_write)) {
+        struct hmx_queue_desc *d = &q->desc[ir];
+        if (!d->done) {
+            FARF(HIGH, "hmx-queue-process: ir %u func %p data %p", ir, d->func, d->data);
+
+            enum hmx_queue_signal sig = (enum hmx_queue_signal) (unsigned int) d->func;
+            switch (sig) {
+                case HMX_QUEUE_NOOP:    /* noop */;     break;
+                case HMX_QUEUE_KILL:    *killed = true; break;
+                case HMX_QUEUE_SUSPEND: hmx_unlock(q);  break;
+                default:
+                    hmx_lock(q);
+                    d->func(d->data);
+                    break;
+            }
+
+            atomic_fetch_add(&d->done, 1);
+        }
+
+        ir = (ir + 1) & q->idx_mask;
+        atomic_store(&q->idx_read, ir);
+    }
+}
+
+static void hmx_queue_thread(void * arg) {
+    struct hmx_queue * q = (struct hmx_queue *) arg;
+
+    FARF(HIGH, "hmx-queue-thread: started");
+
+    bool killed = false;
+
+    unsigned int poll_cnt  = HMX_QUEUE_POLL_COUNT;
+    unsigned int prev_seqn = 0;
+    while (!killed) {
+        unsigned int seqn = atomic_load(&q->seqn);
+        if (seqn == prev_seqn) {
+            if (--poll_cnt) { hex_pause(); continue; }
+            FARF(HIGH, "hmx-queue-thread: sleeping");
+            qurt_futex_wait(&q->seqn, prev_seqn);
+            continue;
+        }
+        prev_seqn = seqn;
+        poll_cnt  = HMX_QUEUE_POLL_COUNT;
+
+        FARF(HIGH, "hmx-queue-thread: new work");
+
+        hmx_queue_process(q, &killed);
+    }
+
+    FARF(HIGH, "hmx-queue-thread: stopped");
+}
+
+struct hmx_queue * hmx_queue_create(size_t capacity, uint32_t hap_rctx) {
+    capacity = hex_ceil_pow2(capacity);
+
+    struct hmx_queue * q = (struct hmx_queue *) memalign(32, sizeof(struct hmx_queue));
+    if (q == NULL) {
+        FARF(ERROR, "%s: failed to allocate DMA queue\n", __FUNCTION__);
+        return NULL;
+    }
+    memset(q, 0, sizeof(struct hmx_queue));
+    q->capacity = capacity;
+    q->idx_mask = capacity - 1;
+    q->hap_rctx = hap_rctx;
+
+    q->desc = (struct hmx_queue_desc *) memalign(64, capacity * sizeof(struct hmx_queue_desc));
+    if (!q->desc) {
+        FARF(ERROR, "hmx-queue: failed to allocate HMX queue descriptors\n");
+        return NULL;
+    }
+    memset(q->desc, 0, capacity * sizeof(struct hmx_queue_desc));
+
+    const size_t stack_size = HMX_QUEUE_THREAD_STACK_SIZE;
+    q->stack = (unsigned char *) memalign(64, stack_size);
+    if (!q->stack) {
+        FARF(ERROR, "hmx-queue: thread stack allocation failed (%zu bytes)", stack_size);
+        return NULL;
+    }
+    memset(q->stack, 0, stack_size);
+
+    // Match caller thread priority (same pattern as worker-pool.c).
+    int prio = qurt_thread_get_priority(qurt_thread_get_id());
+    if (prio < 1) {
+        prio = 1;
+    }
+    if (prio > QURT_LOWEST_PRIO) {
+        prio = QURT_LOWEST_PRIO;
+    }
+
+    qurt_thread_attr_t attr;
+    qurt_thread_attr_init(&attr);
+    qurt_thread_attr_set_stack_addr(&attr, q->stack);
+    qurt_thread_attr_set_stack_size(&attr, stack_size);
+    qurt_thread_attr_set_priority(&attr, prio);
+    qurt_thread_attr_set_name(&attr, "hmx-queue");
+
+    int err = qurt_thread_create(&q->thread, &attr, hmx_queue_thread, q);
+    if (err) {
+        FARF(ERROR, "hmx-worker: thread create failed (%d)", err);
+        return NULL;
+    }
+
+    FARF(HIGH, "hmx-queue: capacity %u\n", capacity);
+
+    return q;
+}
+
+void hmx_queue_delete(struct hmx_queue * q) {
+    if (!q) {
+        return;
+    }
+
+    // Tell the worker to exit.
+    hmx_queue_flush(q);
+    hmx_queue_signal(q, HMX_QUEUE_KILL);
+    hmx_queue_flush(q);
+
+    int status;
+    qurt_thread_join(q->thread, &status);
+
+    free(q->desc);
+    free(q->stack);
+    free(q);
+}
diff --git a/ggml/src/ggml-hexagon/htp/hmx-queue.h b/ggml/src/ggml-hexagon/htp/hmx-queue.h
new file mode 100644
index 000000000..0d48c280f
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/hmx-queue.h
@@ -0,0 +1,134 @@
+#ifndef HMX_QUEUE_H
+#define HMX_QUEUE_H
+
+#include <stdbool.h>
+#include <stdint.h>
+#include <stdatomic.h>
+
+#include <hexagon_types.h>
+#include <qurt_thread.h>
+#include <qurt_futex.h>
+#include <HAP_farf.h>
+
+#include "hex-utils.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#define HMX_QUEUE_THREAD_STACK_SIZE (16 * 1024)
+#define HMX_QUEUE_POLL_COUNT        2000
+
+typedef void (*hmx_queue_func)(void *);
+
+// Dummy funcs used as signals
+enum hmx_queue_signal {
+    HMX_QUEUE_NOOP = 0, // aka NULL
+    HMX_QUEUE_SUSPEND,
+    HMX_QUEUE_KILL
+};
+
+struct hmx_queue_desc {
+    hmx_queue_func   func;
+    void *           data;
+    atomic_uint      done;
+};
+
+struct hmx_queue {
+    struct hmx_queue_desc * desc;
+    atomic_uint      idx_write; // updated by producer (push)
+    atomic_uint      idx_read;  // updated by consumer (process)
+    unsigned int     idx_pop;   // updated by producer (pop)
+    uint32_t         idx_mask;
+    uint32_t         capacity;
+
+    atomic_uint      seqn;      // incremented for all pushes, used with futex
+    qurt_thread_t    thread;
+    void *           stack;
+    uint32_t         hap_rctx;
+    bool             hmx_locked;
+};
+
+struct hmx_queue * hmx_queue_create(size_t capacity, uint32_t hap_rctx);
+void hmx_queue_delete(struct hmx_queue * q);
+
+static inline struct hmx_queue_desc hmx_queue_make_desc(hmx_queue_func func, void * data) {
+    struct hmx_queue_desc d = { func, data };
+    return d;
+}
+
+static inline bool hmx_queue_push(struct hmx_queue * q, struct hmx_queue_desc d) {
+    unsigned int ir = atomic_load(&q->idx_read);
+    unsigned int iw = q->idx_write;
+
+    if (((iw + 1) & q->idx_mask) == ir) {
+        FARF(HIGH, "hmx-queue-push: queue is full\n");
+        return false;
+    }
+
+    atomic_store(&d.done, 0);
+
+    FARF(HIGH, "hmx-queue-push: iw %u func %p data %p\n", iw, d.func, d.data);
+
+    q->desc[iw] = d;
+    atomic_store(&q->idx_write, (iw + 1) & q->idx_mask);
+    // wake up our thread
+    atomic_fetch_add(&q->seqn, 1);
+    qurt_futex_wake(&q->seqn, 1);
+
+    return true;
+}
+
+static inline bool hmx_queue_signal(struct hmx_queue *q, enum hmx_queue_signal sig) {
+    return hmx_queue_push(q, hmx_queue_make_desc((hmx_queue_func) sig, NULL));
+}
+
+static inline bool hmx_queue_empty(struct hmx_queue * q) {
+    return q->idx_pop == q->idx_write;
+}
+
+static inline uint32_t hmx_queue_depth(struct hmx_queue * q) {
+    return (q->idx_read - q->idx_read) & q->idx_mask;
+}
+
+static inline uint32_t hmx_queue_capacity(struct hmx_queue * q) {
+    return q->capacity;
+}
+
+static inline struct hmx_queue_desc hmx_queue_pop(struct hmx_queue * q) {
+    unsigned int ip = q->idx_pop;
+    unsigned int iw = q->idx_write;
+
+    struct hmx_queue_desc rd = { NULL, NULL };
+    if (ip == iw) {
+        return rd;
+    }
+
+    // Wait for desc to complete
+    struct hmx_queue_desc * d = &q->desc[ip];
+    while (!atomic_load(&d->done)) {
+        FARF(HIGH, "hmx-queue-pop: waiting for HMX queue : %u\n", ip);
+        hex_pause();
+    }
+
+    rd = *d;
+    q->idx_pop = (ip + 1) & q->idx_mask;
+
+    FARF(HIGH, "hmx-queue-pop: ip %u func %p data %p\n", ip, rd.func, rd.data);
+    return rd;
+}
+
+static inline void hmx_queue_flush(struct hmx_queue * q) {
+    while (hmx_queue_pop(q).func != NULL) ;
+}
+
+static inline void hmx_queue_suspend(struct hmx_queue *q) {
+    hmx_queue_signal(q, HMX_QUEUE_SUSPEND);
+    hmx_queue_flush(q);
+}
+
+#ifdef __cplusplus
+}  // extern "C"
+#endif
+
+#endif /* HMX_QUEUE_H */
diff --git a/ggml/src/ggml-hexagon/htp/hmx-utils.h b/ggml/src/ggml-hexagon/htp/hmx-utils.h
index aacfbcda2..68f174d69 100644
--- a/ggml/src/ggml-hexagon/htp/hmx-utils.h
+++ b/ggml/src/ggml-hexagon/htp/hmx-utils.h
@@ -4,6 +4,9 @@
 #ifndef HMX_UTILS_H
 #define HMX_UTILS_H
 
+#include "hvx-base.h"
+
+#include <assert.h>
 #include <hexagon_types.h>
 #include <stddef.h>
 
@@ -12,77 +15,188 @@
 #define HMX_FP16_TILE_N_ELMS 1024
 #define HMX_FP16_TILE_SIZE   2048
 
-#define HMX_INLINE_ALWAYS inline __attribute__((unused, always_inline))
-
-static HMX_INLINE_ALWAYS void hmx_set_output_scales(const void *scales) {
-    asm volatile("bias = mxmem2(%0)" :: "r"(scales));
-}
-
 // Initialise aligned 256-byte area with scale vector + zero padding.
-static HMX_INLINE_ALWAYS void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) {
-    HVX_Vector *pv = (HVX_Vector *)out_scales;
-    *pv++ = v_scale;
-    *pv   = Q6_V_vzero();
+static inline void hmx_init_column_scales(void *out_scales, HVX_Vector v_scale) {
+    volatile HVX_Vector *pv = (HVX_Vector *) out_scales;
+    pv[0] = v_scale;
+    pv[1] = Q6_V_vzero();
 }
 
-// Load multiple contiguous tiles with :deep streaming.
-// Rt = total region size - 1; the hardware streams through [Rs, Rs + Rt].
-// IMPORTANT: the tile region [Rs, Rs + Rt] must NOT cross a VTCM 4 MB bank
-// boundary, otherwise the mxmem instruction will raise a precise bus error.
-// Callers must ensure their VTCM layout satisfies this constraint.
-static HMX_INLINE_ALWAYS void hmx_load_tiles_fp16(const __fp16 *row_tiles,
-                                                   const __fp16 *col_tiles,
-                                                   size_t n_tiles) {
-    size_t limit = n_tiles * HMX_FP16_TILE_SIZE - 1;
-    asm volatile(
-        "{ activation.hf = mxmem(%0, %1):deep\n"
-        "weight.hf = mxmem(%2, %3) }\n"
-        :: "r"(row_tiles), "r"(limit), "r"(col_tiles), "r"(limit)
-        : "memory");
-}
+// --- Shared scatter offsets and interleave helper ---
 
-// Load a single activation+weight tile pair (no :deep streaming).
-// Rt defines the accessible region [Rs, Rs+Rt].  Following the reference formula
-// (limit = n_tiles * HMX_FP16_TILE_SIZE - 1), for a single tile Rt = 2047.
-// The original code used Rt=0x7FFF (32 KB region); when dynamic VTCM allocation
-// places a tile near a 4 MB bank boundary, the oversized region crosses it and
-// triggers a precise bus error (0x2601).  Rt=2047 confines accesses to exactly
-// one 2048-byte tile while covering all 16 HVX vectors (offsets 0..2047).
-static HMX_INLINE_ALWAYS void hmx_load_tile_pair_fp16(const __fp16 *act_tile,
-                                                       const __fp16 *wt_tile) {
-    asm volatile(
-        "{ activation.hf = mxmem(%0, %1)\n"
-        "weight.hf = mxmem(%2, %3) }\n"
-        :: "r"(act_tile), "r"(2047),
-           "r"(wt_tile),  "r"(2047)
-        : "memory");
-}
+// vscatter offsets for fused dequant+transpose: write K-values directly to [K][N] tile.
+// word[i] = i*128 maps K-row-pair i to byte offset i*128.
+// Column offset (n*4) is added at runtime.  Entries 0..15 cover one tile (region 2047);
+// entries 16..31 cover the next adjacent tile (region 4095) — pick region size at the
+// call site to scatter into one tile (masked) or two contiguous tiles (unmasked).
+static const int32_t hmx_transpose_scatter_offsets[32] __attribute__((aligned(VLEN))) = {
+    0 * 128,  1 * 128,  2 * 128,  3 * 128,  4 * 128,  5 * 128,  6 * 128,  7 * 128,  8 * 128,  9 * 128,  10 * 128,
+    11 * 128, 12 * 128, 13 * 128, 14 * 128, 15 * 128, 16 * 128, 17 * 128, 18 * 128, 19 * 128, 20 * 128, 21 * 128,
+    22 * 128, 23 * 128, 24 * 128, 25 * 128, 26 * 128, 27 * 128, 28 * 128, 29 * 128, 30 * 128, 31 * 128,
+};
 
-static HMX_INLINE_ALWAYS void hmx_consume_accumulator_fp16(__fp16 *out) {
-    // Use the combined convert-and-store instruction (matches the reference
-    // Q6_mxmem_AR_after_hf intrinsic).  The previous two-instruction sequence
-    // "cvt.hf = acc(2); mxmem = cvt" used an undocumented Rs=2 parameter.
-    asm volatile(
-        "mxmem(%0, %1):after.hf = acc\n"
-        :: "r"(out), "r"(0)
-        : "memory");
-}
+// Scatter row-major FP16 data (in VTCM scratch) into transposed [K][N] tiles.
+// vtcm_src: [n_cols][src_stride] row-major fp16 (only first k elements per row are used)
+// vtcm_dst: [n_col_tiles][n_k_tiles][HMX_FP16_TILE_N_ELMS] tile-major interleaved fp16
+// Processes rows [start_row, end_row) for multi-thread slicing.
+// Full range: start_row=0, end_row=n_cols.
+static inline void hmx_interleave_rows_to_tiles(__fp16 * restrict vtcm_dst,
+                                            const __fp16 * restrict vtcm_src,
+                                            int n_cols,
+                                            int k,
+                                            int src_stride,
+                                            int start_row,
+                                            int end_row) {
+    assert(k % HMX_FP16_TILE_N_COLS == 0);
+
+    const int            n_k_tiles     = k / HMX_FP16_TILE_N_COLS;
+    const HVX_Vector     v_scat_base   = hvx_vmem(hmx_transpose_scatter_offsets);
+    const HVX_Vector     v_scat_step   = Q6_V_vsplat_R(4);
+    const HVX_VectorPred q_mask64      = Q6_Q_vsetq_R(64);
+    // Each hvx_vmemu load brings 64 fp16 = 128 bytes covering 2 adjacent K-tiles.
+    // When n_k_tiles is even, scatter into 2 K-tiles per call (region 4095, no mask)
+    // using the upper half of hmx_transpose_scatter_offsets.  Tail one K-tile (when
+    // n_k_tiles is odd) falls back to single-tile masked scatter.
+    const bool           pair_scatter  = (n_k_tiles & 1) == 0;
+    const size_t         pair_region   = (size_t) (2 * HMX_FP16_TILE_SIZE - 1);
+    const size_t         single_region = (size_t) (HMX_FP16_TILE_SIZE - 1);
+    __builtin_assume(k > 0);
+    __builtin_assume(end_row > start_row);
+
+    if (pair_scatter) {
+        // Step c by 64 fp16 (two K-tiles per scatter), advance dst by 2 tiles per iter.
+        const int    c_step      = 2 * HMX_FP16_TILE_N_COLS;
+        const size_t c_byte_step = (size_t) c_step * sizeof(__fp16);
+        const size_t dst_step    = 2 * (size_t) HMX_FP16_TILE_N_ELMS;
+        const int    n_c_iters   = k / c_step;
 
-// Compute inner product of two vectors of tiles and store result.
-static HMX_INLINE_ALWAYS void hmx_dot_fp16(__fp16 *out,
-                                            const __fp16 *row_tiles,
-                                            const __fp16 *col_tiles,
-                                            size_t n_tiles) {
-    hmx_load_tiles_fp16(row_tiles, col_tiles, n_tiles);
-    hmx_consume_accumulator_fp16(out);
+        for (int r = start_row; r < end_row; r += 2) {
+            const int        ct             = r / HMX_FP16_TILE_N_ROWS;
+            const int        local_r        = r % HMX_FP16_TILE_N_ROWS;
+            const bool       next_row_valid = (r + 1) < end_row && (r + 1) < n_cols;
+            const HVX_Vector v_off0         = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
+            const HVX_Vector v_off1         = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
+
+            __fp16 *        tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS;
+            const uint8_t * p0        = (const uint8_t *) (vtcm_src + r * src_stride);
+            const uint8_t * p1        = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL;
+
+            if (p1) {
+                for (int i = 0; i < n_c_iters; ++i) {
+                    HVX_Vector v0 = hvx_vmemu(p0);
+                    p0 += c_byte_step;
+                    HVX_Vector v1 = hvx_vmemu(p1);
+                    p1 += c_byte_step;
+                    Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0);
+                    Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, v1);
+                    tile_base += dst_step;
+                }
+            } else {
+                const HVX_Vector vzero = Q6_V_vzero();
+                for (int i = 0; i < n_c_iters; ++i) {
+                    HVX_Vector v0 = hvx_vmemu(p0);
+                    p0 += c_byte_step;
+                    Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off0, v0);
+                    Q6_vscatter_RMVwV((size_t) tile_base, pair_region, v_off1, vzero);
+                    tile_base += dst_step;
+                }
+            }
+        }
+    } else {
+        // Fallback: scatter one K-tile per call (region 2047, masked).
+        const int    c_step      = HMX_FP16_TILE_N_COLS;
+        const size_t c_byte_step = (size_t) c_step * sizeof(__fp16);
+        const size_t dst_step    = (size_t) HMX_FP16_TILE_N_ELMS;
+        const int    n_c_iters   = k / c_step;
+
+        for (int r = start_row; r < end_row; r += 2) {
+            const int        ct             = r / HMX_FP16_TILE_N_ROWS;
+            const int        local_r        = r % HMX_FP16_TILE_N_ROWS;
+            const bool       next_row_valid = (r + 1) < end_row && (r + 1) < n_cols;
+            const HVX_Vector v_off0         = Q6_Vw_vadd_VwVw(v_scat_base, Q6_V_vsplat_R(local_r * 4));
+            const HVX_Vector v_off1         = Q6_Vw_vadd_VwVw(v_off0, v_scat_step);
+
+            __fp16 *        tile_base = vtcm_dst + (size_t) ct * n_k_tiles * HMX_FP16_TILE_N_ELMS;
+            const uint8_t * p0        = (const uint8_t *) (vtcm_src + r * src_stride);
+            const uint8_t * p1        = next_row_valid ? (const uint8_t *) (vtcm_src + (r + 1) * src_stride) : NULL;
+
+            if (p1) {
+                for (int i = 0; i < n_c_iters; ++i) {
+                    HVX_Vector v0 = hvx_vmemu(p0);
+                    p0 += c_byte_step;
+                    HVX_Vector v1 = hvx_vmemu(p1);
+                    p1 += c_byte_step;
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0);
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, v1);
+                    tile_base += dst_step;
+                }
+            } else {
+                const HVX_Vector vzero = Q6_V_vzero();
+                for (int i = 0; i < n_c_iters; ++i) {
+                    HVX_Vector v0 = hvx_vmemu(p0);
+                    p0 += c_byte_step;
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off0, v0);
+                    Q6_vscatter_QRMVwV(q_mask64, (size_t) tile_base, single_region, v_off1, vzero);
+                    tile_base += dst_step;
+                }
+            }
+        }
+    }
 }
 
-// --- VTCM sequential allocator (from htp-ops-lib/include/dsp/vtcm_mgr.h) ---
+// Interleave row-major FP16 data into column-major tile format.
+// Input: [n_rows, head_dim] row-major.  Output: tile[dim_tile][row_tile].
+// Processes rows [start_row, end_row) for multi-thread slicing.
+// Full range: start_row=0, end_row=n_rows.
+static inline void hmx_interleave_cols_to_tiles(__fp16 * restrict tiles_out,
+                                            const __fp16 * restrict src,
+                                            int n_rows,
+                                            int head_dim,
+                                            int src_stride,
+                                            int n_row_tiles,
+                                            int start_row,
+                                            int end_row) {
+    __builtin_assume(head_dim > 0);
+    const size_t tile_stride_elms = (size_t) n_row_tiles * HMX_FP16_TILE_N_ELMS;
+
+    for (int r = start_row; r < end_row; r += 2) {
+        const bool next_row_valid = (r + 1) < end_row && (r + 1) < n_rows;
+
+        const HVX_Vector * pv_in0 = (const HVX_Vector *) (src + r * src_stride);
+        const HVX_Vector * pv_in1 = next_row_valid ? (const HVX_Vector *) (src + (r + 1) * src_stride) : NULL;
+
+        // Row-pair invariants hoisted out of the c loop.
+        const int r0      = r / HMX_FP16_TILE_N_ROWS;
+        const int r1_half = (r % HMX_FP16_TILE_N_ROWS) / 2;
+
+        // tb0 starts at tile (c0=0, r0); tb1 at the adjacent dim-tile (c0=1, r0).
+        // Each c step (+= 64) advances both by 2 dim-tiles worth of fp16.
+        __fp16 *     tb0     = tiles_out + (size_t) r0 * HMX_FP16_TILE_N_ELMS;
+        __fp16 *     tb1     = tb0 + tile_stride_elms;
+        const size_t tb_step = 2 * tile_stride_elms;
 
-static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) {
-    uint8_t *p = *vtcm_ptr;
-    *vtcm_ptr += size;
-    return p;
+        if (pv_in1) {
+            for (int c = 0; c < head_dim; c += 64) {
+                HVX_Vector     v0             = *pv_in0++;
+                HVX_Vector     v1             = *pv_in1++;
+                HVX_VectorPair vp             = Q6_W_vshuff_VVR(v1, v0, -2);
+                ((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp);
+                ((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp);
+                tb0 += tb_step;
+                tb1 += tb_step;
+            }
+        } else {
+            const HVX_Vector vzero = Q6_V_vzero();
+            for (int c = 0; c < head_dim; c += 64) {
+                HVX_Vector     v0             = *pv_in0++;
+                HVX_VectorPair vp             = Q6_W_vshuff_VVR(vzero, v0, -2);
+                ((HVX_Vector *) tb0)[r1_half] = Q6_V_lo_W(vp);
+                ((HVX_Vector *) tb1)[r1_half] = Q6_V_hi_W(vp);
+                tb0 += tb_step;
+                tb1 += tb_step;
+            }
+        }
+    }
 }
 
 #endif // HMX_UTILS_H
diff --git a/ggml/src/ggml-hexagon/htp/htp-ctx.h b/ggml/src/ggml-hexagon/htp/htp-ctx.h
index 6f1917fa2..e9c563ca8 100644
--- a/ggml/src/ggml-hexagon/htp/htp-ctx.h
+++ b/ggml/src/ggml-hexagon/htp/htp-ctx.h
@@ -2,46 +2,109 @@
 #define HTP_CTX_H
 
 #include "hex-dma.h"
+#include "hmx-queue.h"
+#include "htp-ops.h"
 #include "worker-pool.h"
 
 #include <assert.h>
 #include <dspqueue.h>
 #include <stdatomic.h>
 #include <stdint.h>
+#include <stdbool.h>
 
 #define HTP_MAX_NTHREADS 10
+#define HTP_MAX_MMAPS    16
+
+// Memory mapping
+struct htp_mmap {
+    uint64_t size;
+    uint64_t base;
+    uint32_t fd;
+    uint32_t reserved;
+};
+
+// Scratchpad state
+struct htp_spad {
+    const struct htp_tensor * src;             // original src of the data (for reuse)
+    uint8_t *                 data;            // pointer to an area in vtcm
+    uint32_t                  stride;          // stride used inside this spad
+    uint32_t                  size;            // total size
+    uint32_t                  size_per_thread; // size per thread
+};
+
+struct htp_context;
+
+// Context while processing an Op
+// TODO: fold this into the main context
+struct htp_ops_context {
+    struct htp_context * ctx;
+
+    enum htp_op_code    op; // FIXME: rename to opcode
+    int32_t             op_params[HTP_OP_MAX_PARAMS];
+
+    const struct htp_tensor * src[HTP_OP_MAX_INPUTS];
+    const struct htp_tensor * dst;
+
+    // TODO convert these to an array
+    struct htp_spad src0_spad;
+    struct htp_spad src1_spad;
+    struct htp_spad src2_spad;
+    struct htp_spad src3_spad;
+    struct htp_spad dst_spad;
+
+    uint32_t n_threads;
+    uint32_t flags;
+};
 
 // Main context for htp DSP backend
 struct htp_context {
-    dspqueue_t            queue;
-    dma_queue *           dma[HTP_MAX_NTHREADS];
-    worker_pool_context_t worker_pool;
-    uint32_t              n_threads;
+    dspqueue_t             queue;
+    dma_queue *            dma[HTP_MAX_NTHREADS];
+    struct htp_mmap        mmap[HTP_MAX_MMAPS];
+    worker_pool_context_t  worker_pool;
+    uint32_t               n_threads;
 
-    int thread_id;
-    int thread_prio;
+    int                    thread_id;
+    int                    thread_prio;
 
-    uint8_t * vtcm_base;
-    size_t    vtcm_size;
-    uint32_t  vtcm_rctx;
+    bool                   hmx_enabled;
+    bool                   etm;
+    uint32_t               profiler;
 
-    atomic_bool vtcm_valid;
-    atomic_bool vtcm_inuse;
-    atomic_bool vtcm_needs_release;
+    uint8_t *              vtcm_base;
+    size_t                 vtcm_size;
+    uint32_t               vtcm_rctx;
+    atomic_bool            vtcm_valid;
+    atomic_bool            vtcm_needs_release;
 
-    uint32_t opmask;
+    uint64_t               max_vmem;
 
-    // Cached src1 spad position from the last quantize pass.
-    // When SKIP_QUANTIZE is set the Q8 activation data is already in VTCM
-    // at this address; the matmul must read from here instead of recomputing
-    // the offset (which depends on the current op's src0 size).
-    uint8_t * prev_src1_spad;
+    struct htp_ops_context octx;
 
-    // HMX acceleration fields (v73+, enabled by compile-time HTP_HAS_HMX)
 #ifdef HTP_HAS_HMX
-    int        hmx_enabled;       // Runtime flag: HMX initialisation succeeded
-    size_t     vtcm_scratch_size; // Usable dynamic scratch (vtcm_size minus tail reservation)
+    struct hmx_queue *     hmx_queue; // Async HMX queue for pipeline overlap
 #endif
 };
 
+int op_matmul(struct htp_ops_context * octx);
+int op_matmul_id(struct htp_ops_context * octx);
+int op_binary(struct htp_ops_context * octx);
+int op_unary(struct htp_ops_context * octx);
+int op_sum_rows(struct htp_ops_context * octx);
+int op_activations(struct htp_ops_context * octx);
+int op_softmax(struct htp_ops_context * octx);
+int op_add_id(struct htp_ops_context * octx);
+int op_rope(struct htp_ops_context * octx);
+int op_flash_attn_ext(struct htp_ops_context * octx);
+int op_set_rows(struct htp_ops_context * octx);
+int op_get_rows(struct htp_ops_context * octx);
+int op_cpy(struct htp_ops_context * octx);
+int op_repeat(struct htp_ops_context * octx);
+int op_argsort(struct htp_ops_context * octx);
+int op_ssm_conv(struct htp_ops_context * octx);
+int op_cumsum(struct htp_ops_context * octx);
+int op_fill(struct htp_ops_context * octx);
+int op_diag(struct htp_ops_context * octx);
+int op_solve_tri(struct htp_ops_context * octx);
+
 #endif /* HTP_CTX_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp-msg.h b/ggml/src/ggml-hexagon/htp/htp-msg.h
deleted file mode 100644
index df0ea7ccb..000000000
--- a/ggml/src/ggml-hexagon/htp/htp-msg.h
+++ /dev/null
@@ -1,166 +0,0 @@
-#ifndef HTP_MSG_H
-#define HTP_MSG_H
-
-#include <assert.h>
-
-// ggml-common.h must be included prio to this header
-
-// Mask to enable various stages of the Ops.
-// Used for debugging and profiling.
-enum {
-    HTP_OPMASK_QUEUE    = (1 << 0),  // Enable Queueing (ie calls into the DSP)
-    HTP_OPMASK_QUANTIZE = (1 << 1),  // Enable Quantize
-    HTP_OPMASK_COMPUTE  = (1 << 2),  // Enable Compute
-};
-
-// Op flags
-enum {
-    HTP_OPFLAGS_SKIP_QUANTIZE = (1 << 0),  // Skip dynamic quantization (reuse quantized tensors)
-    HTP_OPFLAGS_SKIP_COMPUTE  = (1 << 1),  // Skip actual computation (used for profiling)
-    HTP_OPFLAGS_EARLY_WAKEUP  = (1 << 2)   // Send early wakeup notification
-};
-
-enum htp_status {
-    HTP_STATUS_OK             = 1,
-    HTP_STATUS_INTERNAL_ERR   = 2,
-    HTP_STATUS_NO_SUPPORT     = 3,
-    HTP_STATUS_INVAL_PARAMS   = 4,
-    HTP_STATUS_VTCM_TOO_SMALL = 5,
-};
-
-// The values must match the ggml_type.
-// Duplicated here because we can't include full ggml.h in the htp build.
-// We have some static_asserts in the cpp code to ensure things are in sync.
-enum htp_data_type {
-    HTP_TYPE_F32    = 0,
-    HTP_TYPE_F16    = 1,
-    HTP_TYPE_Q4_0   = 2,
-    HTP_TYPE_Q8_0   = 8,
-    HTP_TYPE_IQ4_NL = 20,
-    HTP_TYPE_I32    = 26,
-    HTP_TYPE_I64    = 27,
-    HTP_TYPE_MXFP4  = 39,
-    HTP_TYPE_COUNT
-};
-
-// Do not reorder first 4 (used as an index)
-enum htp_op {
-    HTP_OP_MUL = 0,
-    HTP_OP_ADD = 1,
-    HTP_OP_SUB = 2,
-    HTP_OP_DIV = 3,
-    HTP_OP_MUL_MAT,
-    HTP_OP_MUL_MAT_ID,
-    HTP_OP_RMS_NORM,
-    HTP_OP_UNARY_SILU,
-    HTP_OP_UNARY_GELU,
-    HTP_OP_UNARY_SIGMOID,
-    HTP_OP_UNARY_EXP,
-    HTP_OP_UNARY_NEG,
-    HTP_OP_UNARY_SOFTPLUS,
-    HTP_OP_GLU_SWIGLU,
-    HTP_OP_GLU_SWIGLU_OAI,
-    HTP_OP_GLU_GEGLU,
-    HTP_OP_SOFTMAX,
-    HTP_OP_ADD_ID,
-    HTP_OP_ROPE,
-    HTP_OP_FLASH_ATTN_EXT,
-    HTP_OP_SET_ROWS,
-    HTP_OP_GET_ROWS,
-    HTP_OP_SCALE,
-    HTP_OP_CPY,
-    HTP_OP_ARGSORT,
-    HTP_OP_SQR,
-    HTP_OP_SQRT,
-    HTP_OP_SUM_ROWS,
-    HTP_OP_SSM_CONV,
-    HTP_OP_REPEAT,
-    HTP_OP_CUMSUM,
-    INVALID
-};
-
-static inline size_t htp_t_block_size(uint32_t t) {
-    switch (t) {
-        case HTP_TYPE_F32:
-            return 1;
-        case HTP_TYPE_F16:
-            return 1;
-        case HTP_TYPE_Q4_0:
-            return QK4_0;
-        case HTP_TYPE_Q8_0:
-            return QK8_0;
-        case HTP_TYPE_IQ4_NL:
-            return QK4_NL;
-        case HTP_TYPE_MXFP4:
-            return QK_MXFP4;
-        default:
-            assert(0 && "unsupported HTP data type");
-    }
-    return 0;
-}
-
-static inline size_t htp_type_nbytes(uint32_t t) {
-    switch (t) {
-        case HTP_TYPE_F32:
-            return 4;
-        case HTP_TYPE_F16:
-            return 2;
-        case HTP_TYPE_Q4_0:
-            return sizeof(block_q4_0);
-        case HTP_TYPE_Q8_0:
-            return sizeof(block_q8_0);
-        case HTP_TYPE_IQ4_NL:
-            return sizeof(block_iq4_nl);
-        case HTP_TYPE_MXFP4:
-            return sizeof(block_mxfp4);
-        default:
-            assert(0 && "unsupported HTP data type");
-    }
-    return 0;
-}
-
-// Internal types
-#define QK_Q4_0x4x2  256  // 4x Q4_0 blocks packed with next 4x Q4_0 blocks (size in bytes 128)
-#define QK_Q8_0x4x2  256  // 4x Q8_0 blocks concat with next 4x Q8_0 blocks
-#define QK_MXFP4x4x2 256  // 4x MXFP4 blocks concat with next 4x MXFP4 blocks
-
-#define HTP_MAX_DIMS 4
-
-struct htp_tensor {
-    uint32_t data;                // Buffer offset in the messages, and data pointer on the NSP
-    uint32_t type;                // Data type
-    uint32_t ne[HTP_MAX_DIMS];    // Number of elements
-    uint32_t nb[HTP_MAX_DIMS];    // Stride in bytes (see ggml.h ggml_tensor)
-};
-
-#define HTP_MAX_OP_PARAMS 64
-
-struct htp_general_req {
-    uint32_t op;  // GGML/HTP Op
-    int32_t  op_params[HTP_MAX_OP_PARAMS / sizeof(int32_t)];
-    // Params for the op, e.g. epsilon of RMS norm
-    uint32_t flags;          // Request flags
-
-    struct htp_tensor src0;  // Input0 tensor
-    struct htp_tensor src1;  // Input1 tensor
-    struct htp_tensor src2;  // Input2 tensor
-    struct htp_tensor src3;  // Input3 tensor
-    struct htp_tensor src4;  // Input4 tensor
-    struct htp_tensor dst;   // Output tensor
-
-    // should be multiple of 64 bytes (cacheline)
-};
-
-struct htp_general_rsp {
-    uint32_t op;           // GGML/HTP Op
-    uint32_t status;       // HTP_STATUS_...
-    uint32_t prof_usecs;   // Number of usec per request
-    uint32_t prof_cycles;  // Number of cycles per request
-    uint32_t prof_pkts;    // Number of instruction packets per request
-    uint8_t  unused[44];   // Pad to 64 bytes
-};
-
-#define HTP_MAX_MESSAGE_SIZE   sizeof(struct htp_general_req)
-#define HTP_MAX_PACKET_BUFFERS 8
-
-#endif /* HTP_MSG_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp-ops.h b/ggml/src/ggml-hexagon/htp/htp-ops.h
index d35decaac..66a3150c1 100644
--- a/ggml/src/ggml-hexagon/htp/htp-ops.h
+++ b/ggml/src/ggml-hexagon/htp/htp-ops.h
@@ -1,65 +1,177 @@
 #ifndef HTP_OPS_H
 #define HTP_OPS_H
 
-#include "htp-ctx.h"
-#include "htp-msg.h"
-#include "worker-pool.h"
-
 #include <assert.h>
-#include <stdint.h>
 
-#include <hex-fastdiv.h>
+// ggml-common.h must be included prio to this header
+
+enum htp_status {
+    HTP_STATUS_OK             = 1,
+    HTP_STATUS_INTERNAL_ERR   = 2,
+    HTP_STATUS_NO_SUPPORT     = 3,
+    HTP_STATUS_INVAL_PARAMS   = 4,
+    HTP_STATUS_VTCM_TOO_SMALL = 5,
+};
+
+// First set of values must match the ggml_type.
+// Duplicated here because we can't include full ggml.h in the htp build.
+// We have some static_asserts in the cpp code to ensure things are in sync.
+enum htp_data_type {
+    HTP_TYPE_F32    = 0,
+    HTP_TYPE_F16    = 1,
+    HTP_TYPE_Q4_0   = 2,
+    HTP_TYPE_Q8_0   = 8,
+    HTP_TYPE_IQ4_NL = 20,
+    HTP_TYPE_I32    = 26,
+    HTP_TYPE_I64    = 27,
+    HTP_TYPE_MXFP4  = 39,
 
-// ggml-common.h must be included prior to this header
+    // types used internally for repack, dyn.quant, etc
+    HTP_TYPE_Q4_0x4x2 = 200,
+    HTP_TYPE_Q8_0x4x2,
+    HTP_TYPE_MXFP4x4x2,
 
-struct htp_spad {
-    uint8_t * data;
-    size_t    stride;
-    size_t    size;
-    size_t    size_per_thread;
+    HTP_TYPE_INVALID
 };
 
-struct htp_ops_context {
-    struct htp_context * ctx;
+// Constats for internal types
+#define QK_Q4_0x4x2  256  // 4x Q4_0  blocks packed with next 4x Q4_0 blocks (size in bytes 128)
+#define QK_Q8_0x4x2  256  // 4x Q8_0  blocks concat with next 4x Q8_0 blocks
+#define QK_MXFP4x4x2 256  // 4x MXFP4 blocks concat with next 4x MXFP4 blocks
 
-    enum htp_op op;
-    int32_t     op_params[HTP_MAX_OP_PARAMS / sizeof(int32_t)];
 
-    struct htp_tensor src0;
-    struct htp_tensor src1;
-    struct htp_tensor src2;
-    struct htp_tensor src3;
-    struct htp_tensor src4;
-    struct htp_tensor dst;
+// Mask to enable various stages of the Ops.
+// Used for debugging and profiling.
+enum htp_op_stage {
+    HTP_OPSTAGE_QUEUE    = (1 << 0),  // Enable Queueing (ie calls into NPU)
+    HTP_OPSTAGE_COMPUTE  = (1 << 1),  // Enable Compute
+};
+
+// Do not reorder first 4 (used as an index)
+enum htp_op_code {
+    HTP_OP_MUL = 0,
+    HTP_OP_ADD = 1,
+    HTP_OP_SUB = 2,
+    HTP_OP_DIV = 3,
+    HTP_OP_MUL_MAT,
+    HTP_OP_MUL_MAT_ID,
+    HTP_OP_RMS_NORM,
+    HTP_OP_UNARY_SILU,
+    HTP_OP_UNARY_GELU,
+    HTP_OP_UNARY_SIGMOID,
+    HTP_OP_UNARY_EXP,
+    HTP_OP_UNARY_NEG,
+    HTP_OP_UNARY_SOFTPLUS,
+    HTP_OP_GLU_SWIGLU,
+    HTP_OP_GLU_SWIGLU_OAI,
+    HTP_OP_GLU_GEGLU,
+    HTP_OP_SOFTMAX,
+    HTP_OP_ADD_ID,
+    HTP_OP_ROPE,
+    HTP_OP_FLASH_ATTN_EXT,
+    HTP_OP_SET_ROWS,
+    HTP_OP_GET_ROWS,
+    HTP_OP_SCALE,
+    HTP_OP_CPY,
+    HTP_OP_ARGSORT,
+    HTP_OP_SQR,
+    HTP_OP_SQRT,
+    HTP_OP_SUM_ROWS,
+    HTP_OP_SSM_CONV,
+    HTP_OP_REPEAT,
+    HTP_OP_CUMSUM,
+    HTP_OP_FILL,
+    HTP_OP_DIAG,
+    HTP_OP_SOLVE_TRI,
+    HTP_OP_INVALID
+};
 
-    struct htp_spad src0_spad;
-    struct htp_spad src1_spad;
-    struct htp_spad src2_spad;
-    struct htp_spad src3_spad;
-    struct htp_spad dst_spad;
+#define HTP_OP_MAX_DIMS    4    // aka GGML_MAX_DIMS
+#define HTP_OP_MAX_INPUTS  6    // aka GGML_MAX_SRCS
+#define HTP_OP_MAX_PARAMS  16   // aka GGML_MAX_OP_PARAMS
 
-    worker_pool_context_t * wpool;      // worker pool
-    uint32_t                n_threads;  // num threads
+#define HTP_OP_MAX_BUFS    16
+#define HTP_OP_MAX_REQS    256
+#define HTP_OP_MAX_TENSORS (HTP_OP_MAX_REQS * HTP_OP_MAX_INPUTS + HTP_OP_MAX_REQS)
+
+#define HTP_OP_MAX_VMEM_DEFAULT (3355443200u)
+
+#define HTP_MMAP_MAX_VMEM  (2147483648u)
+
+enum htp_tensor_flags {
+    HTP_TENSOR_COMPUTE = (1U << 0), // Tensor buffer temporal compute data (not weights)
+    HTP_TENSOR_FLUSHED = (1U << 1)  // Tensor buffer has been flushed (set by the NPU)
+};
+
+// Tensor descriptor
+struct htp_tensor {
+    uint32_t data;                 // Buffer offset in the messages, and data pointer on the NPU
+    uint32_t size;                 // Data size in bytes
+    uint32_t flags;                // Buffer / tensor flags
+    uint16_t type;                 // Data type
+    uint16_t bi;                   // Buffer index
+    uint32_t ne[HTP_OP_MAX_DIMS];  // Number of elements
+    uint32_t nb[HTP_OP_MAX_DIMS];  // Stride in bytes (see ggml.h ggml_tensor)
+};
 
-    uint32_t flags;
+// Buffer descriptor
+struct htp_buf_desc {
+    uint64_t base;     // base address
+    uint64_t size;     // total size
+    uint32_t flags;    // buffer flags (unused)
+    uint32_t fd;       // file descriptor
 };
 
-int op_matmul(struct htp_ops_context * octx);
-int op_matmul_id(struct htp_ops_context * octx);
-int op_binary(struct htp_ops_context * octx);
-int op_unary(struct htp_ops_context * octx);
-int op_sum_rows(struct htp_ops_context * octx);
-int op_activations(struct htp_ops_context * octx);
-int op_softmax(struct htp_ops_context * octx);
-int op_add_id(struct htp_ops_context * octx);
-int op_rope(struct htp_ops_context * octx);
-int op_flash_attn_ext(struct htp_ops_context * octx);
-int op_set_rows(struct htp_ops_context * octx);
-int op_get_rows(struct htp_ops_context * octx);
-int op_cpy(struct htp_ops_context * octx);
-int op_repeat(struct htp_ops_context * octx);
-int op_argsort(struct htp_ops_context * octx);
-int op_ssm_conv(struct htp_ops_context * octx);
-int op_cumsum(struct htp_ops_context * octx);
+enum htp_op_flags {
+    HTP_OPFLAGS_SKIP_COMPUTE  = (1U << 0), // Skip actual computation (used for profiling)
+};
+
+// Op descriptor
+struct htp_op_desc {
+    uint32_t opcode;                    // GGML/HTP Op
+    uint32_t flags;                     // Op flags
+    int32_t  params[HTP_OP_MAX_PARAMS]; // Params for the op, e.g. epsilon of RMS norm
+    uint16_t src[HTP_OP_MAX_INPUTS];    // Input tensors indices
+    uint16_t dst;                       // Output tensor index
+};
+
+enum htp_profiler_mode {
+    HTP_PROF_DISABLED = 0,
+    HTP_PROF_BASIC    = 1,
+    HTP_PROF_PMU      = 2,
+};
+
+#define HTP_PROF_PMU_NCNT 8
+
+// Profile descriptor
+struct htp_prof_desc {
+    uint32_t opcode;                 // GGML/HTP Op
+    uint32_t usecs;                  // Number of usec
+    uint32_t cycles;                 // Number of cycles
+    uint32_t pad;                    // Unused
+    uint32_t pmu[HTP_PROF_PMU_NCNT]; // PMU counters
+};
+
+struct htp_opbatch_req {
+    uint32_t id;          // Batch id
+    uint32_t n_bufs;      // Number of buffers
+    uint32_t n_tensors;   // Number of tensors
+    uint32_t n_ops;       // Number of ops
+    uint32_t flags;       // unused
+    uint32_t pad;         // unused
+    // struct htp_buf_desc  bufs[];    -- dspqueue buf 0
+    // struct htp_tensor    tensors[]; -- dspqueue buf 0
+    // struct htp_op_desc   ops[];     -- dspqueue buf 0
+};
+
+struct htp_opbatch_rsp {
+    uint32_t id;         // Batch id
+    uint32_t status;     // HTP_STATUS_...
+    uint32_t n_bufs;     // Number of buffers
+    uint32_t n_tensors;  // Number of tensors
+    uint32_t n_ops;      // Number of op profile descriptors
+    uint32_t pad;        // unused
+    // struct htp_prof_desc profs[];  -- dspqueue buf 0
+};
 
 #endif /* HTP_OPS_H */
diff --git a/ggml/src/ggml-hexagon/htp/htp_iface.idl b/ggml/src/ggml-hexagon/htp/htp_iface.idl
index 2dc716cb4..d696a5fba 100644
--- a/ggml/src/ggml-hexagon/htp/htp_iface.idl
+++ b/ggml/src/ggml-hexagon/htp/htp_iface.idl
@@ -6,11 +6,17 @@
 #include "AEEStdDef.idl"
 #include "remote.idl"
 
+struct htp_iface_pmu_conf {
+    uint32 events[8];
+};
+
 interface htp_iface : remote_handle64 {
-    AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx);
+    AEEResult start(in uint32 sess_id, in uint64 dsp_queue_id, in uint32 n_hvx, in uint32 use_hmx, in uint64 max_vmem);
     AEEResult stop();
-    AEEResult enable_etm();
-    AEEResult disable_etm();
+    AEEResult mmap(in uint32 fd, in uint32 size);
+    AEEResult munmap(in uint32 fd);
+    AEEResult profiler(in uint32 mode, in htp_iface_pmu_conf pmu);
+    AEEResult etm(in uint32 enable);
 };
 
 #endif /* HTP_IDL */
diff --git a/ggml/src/ggml-hexagon/htp/hvx-base.h b/ggml/src/ggml-hexagon/htp/hvx-base.h
index db05ab40d..f6cb02951 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-base.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-base.h
@@ -77,6 +77,12 @@ static inline int32_t hvx_vec_get_i32(HVX_Vector v) {
     return x;
 }
 
+static inline _Float16 hvx_vec_get_f16(HVX_Vector v) {
+    _Float16 __attribute__((aligned(128))) x;
+    hvx_vec_store_a(&x, 2, v);
+    return x;
+}
+
 static inline HVX_Vector hvx_vec_abs_f16(HVX_Vector v) {
     // abs by clearing the fp16 sign bit
     HVX_Vector mask = Q6_Vh_vsplat_R(0x7fff);
@@ -116,9 +122,14 @@ static inline HVX_VectorPred hvx_vec_is_nan_f16(HVX_Vector v) {
 }
 
 static inline HVX_Vector hvx_vec_f32_to_f16_shuff(HVX_Vector v0, HVX_Vector v1) {
+#if __HVX_ARCH__ >= 81
+    HVX_Vector q0 = Q6_Vqf32_equals_Vsf(v0);
+    HVX_Vector q1 = Q6_Vqf32_equals_Vsf(v1);
+#else
     const HVX_Vector zero = Q6_V_vzero();
     HVX_Vector q0 = Q6_Vqf32_vadd_VsfVsf(v0, zero);
     HVX_Vector q1 = Q6_Vqf32_vadd_VsfVsf(v1, zero);
+#endif
     return Q6_Vhf_equals_Wqf32(Q6_W_vcombine_VV(q1, q0));
 }
 
@@ -251,6 +262,18 @@ static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
     return Q6_Vhf_equals_Wqf32(Q6_Wqf32_vmpy_VhfVhf(a, b));
 }
 
+static inline HVX_Vector hvx_vec_add_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vadd_VsfVsf(a, b));
+}
+
+static inline HVX_Vector hvx_vec_sub_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vsub_VsfVsf(a, b));
+}
+
+static inline HVX_Vector hvx_vec_mul_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_equals_Vqf32(Q6_Vqf32_vmpy_VsfVsf(a, b));
+}
+
 #else
 
 static inline HVX_Vector hvx_vec_add_f16_f16(HVX_Vector a, HVX_Vector b)
@@ -268,6 +291,18 @@ static inline HVX_Vector hvx_vec_mul_f16_f16(HVX_Vector a, HVX_Vector b)
     return Q6_Vhf_vmpy_VhfVhf(a, b);
 }
 
+static inline HVX_Vector hvx_vec_add_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_vadd_VsfVsf(a, b);
+}
+
+static inline HVX_Vector hvx_vec_sub_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_vsub_VsfVsf(a, b);
+}
+
+static inline HVX_Vector hvx_vec_mul_f32_f32(HVX_Vector a, HVX_Vector b) {
+    return Q6_Vsf_vmpy_VsfVsf(a, b);
+}
+
 #endif // __HVX_ARCH__ < 79
 
 #endif /* HVX_BASE_H */
diff --git a/ggml/src/ggml-hexagon/htp/hvx-copy.h b/ggml/src/ggml-hexagon/htp/hvx-copy.h
index 851482e01..a3e33c3b3 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-copy.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-copy.h
@@ -7,7 +7,8 @@
 
 #include "hvx-base.h"
 
-#define hvx_splat_loop_body(dst_type, vec_store)                 \
+#define hvx_splat_pragma(x) _Pragma(#x)
+#define hvx_splat_loop_body(dst_type, vec_store, unroll_cnt)     \
     do {                                                         \
         dst_type * restrict vdst = (dst_type *) dst;             \
                                                                  \
@@ -16,7 +17,7 @@
                                                                  \
         uint32_t i = 0;                                          \
                                                                  \
-        _Pragma("unroll(4)")                                     \
+        hvx_splat_pragma(unroll(unroll_cnt))                     \
         for (; i < nvec; i++) {                                  \
             vdst[i] = src;                                       \
         }                                                        \
@@ -25,31 +26,47 @@
         }                                                        \
     } while(0)
 
-static inline void hvx_splat_a(uint8_t * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
+static inline void hvx_splat_a(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
     assert((unsigned long) dst % 128 == 0);
-    hvx_splat_loop_body(HVX_Vector, hvx_vec_store_a);
+    hvx_splat_loop_body(HVX_Vector, hvx_vec_store_a, 4);
 }
 
-static inline void hvx_splat_u(uint8_t * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
-    hvx_splat_loop_body(HVX_UVector, hvx_vec_store_u);
+static inline void hvx_splat_u(void * restrict dst, HVX_Vector src, uint32_t n, uint32_t elem_size) {
+    hvx_splat_loop_body(HVX_UVector, hvx_vec_store_u, 4);
 }
 
-static inline void hvx_splat_f32_a(uint8_t * restrict dst, float v, uint32_t n) {
+static inline void hvx_splat_f32_a(void * restrict dst, float v, uint32_t n) {
     hvx_splat_a(dst,  hvx_vec_splat_f32(v), n, sizeof(float));
 }
 
-static inline void hvx_splat_f32_u(uint8_t * restrict dst, float v, uint32_t n) {
+static inline void hvx_splat_f32_u(void * restrict dst, float v, uint32_t n) {
     hvx_splat_u(dst,  hvx_vec_splat_f32(v), n, sizeof(float));
 }
 
-static inline void hvx_splat_f16_a(uint8_t * restrict dst, _Float16 v, uint32_t n) {
+static inline void hvx_splat_f16_a(void * restrict dst, _Float16 v, uint32_t n) {
     hvx_splat_u(dst,  hvx_vec_splat_f16(v), n, sizeof(__fp16));
 }
 
-static inline void hvx_splat_f16_u(uint8_t * restrict dst, _Float16 v, uint32_t n) {
+static inline void hvx_splat_f16_u(void * restrict dst, _Float16 v, uint32_t n) {
     hvx_splat_u(dst,  hvx_vec_splat_f16(v), n, sizeof(__fp16));
 }
 
+static inline void hvx_splat_u16_a(void * restrict dst, uint16_t v, uint32_t n) {
+    hvx_splat_a(dst,  Q6_Vh_vsplat_R(v), n, sizeof(uint16_t));
+}
+
+static inline void hvx_splat_u16_u(void * restrict dst, uint16_t v, uint32_t n) {
+    hvx_splat_u(dst,  Q6_Vh_vsplat_R(v), n, sizeof(uint16_t));
+}
+
+static inline void hvx_splat_u8_a(void * restrict dst, uint8_t v, uint32_t n) {
+    hvx_splat_a(dst,  Q6_Vb_vsplat_R(v), n, 1);
+}
+
+static inline void hvx_splat_u8_u(void * restrict dst, uint8_t v, uint32_t n) {
+    hvx_splat_u(dst,  Q6_Vb_vsplat_R(v), n, 1);
+}
+
 #define hvx_copy_loop_body(dst_type, src_type, vec_store)            \
     do {                                                             \
         dst_type * restrict vdst = (dst_type *) dst;                 \
diff --git a/ggml/src/ggml-hexagon/htp/hvx-exp.h b/ggml/src/ggml-hexagon/htp/hvx-exp.h
index 84e4836dc..e71ec4909 100644
--- a/ggml/src/ggml-hexagon/htp/hvx-exp.h
+++ b/ggml/src/ggml-hexagon/htp/hvx-exp.h
@@ -17,7 +17,7 @@
 #define EXP_LOGN2   (0x3F317218)  // ln(2)   = 0.6931471805
 #define EXP_LOG2E   (0x3FB8AA3B)  // log2(e) = 1/ln(2) = 1.4426950408
 #define EXP_ONE     (0x3f800000)  // 1.0
-#define EXP_RANGE_R (0x42B16666)  // 88.7
+#define EXP_RANGE_R (0x42B17218)  // ln(FLT_MAX) approx = 88.7228
 #define EXP_RANGE_L (0xC2B00000)  // -88.0 (approx log(FLT_MIN))
 
 static inline HVX_Vector hvx_vec_exp_f32(HVX_Vector in_vec) {
@@ -163,7 +163,7 @@ static inline void hvx_exp_f32(uint8_t * restrict dst, const uint8_t * restrict
     HVX_Vector vec_out = Q6_V_vzero();
 
     static const float kInf    = INFINITY;
-    static const float kMaxExp = 88.7f;
+    static const float kMaxExp = 88.7228f;
 
     const HVX_Vector max_exp = hvx_vec_splat_f32(kMaxExp);
     const HVX_Vector inf     = hvx_vec_splat_f32(kInf);
diff --git a/ggml/src/ggml-hexagon/htp/main.c b/ggml/src/ggml-hexagon/htp/main.c
index 6f37bf9d4..49c1a15b3 100644
--- a/ggml/src/ggml-hexagon/htp/main.c
+++ b/ggml/src/ggml-hexagon/htp/main.c
@@ -1,5 +1,7 @@
 #pragma clang diagnostic ignored "-Wgnu-zero-variadic-macro-arguments"
 #pragma clang diagnostic ignored "-Wunused-function"
+#pragma clang diagnostic ignored "-Wunused-variable"
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
 
 #include <HAP_farf.h>
 #include <HAP_perf.h>
@@ -12,23 +14,22 @@
 #include <HAP_ps.h>
 #include <qurt.h>
 #include <qurt_thread.h>
+#include <qurt_memory.h>
 #include <remote.h>
 #include <string.h>
 
-#include "hex-dma.h"
 #include "hex-utils.h"
+#include "hex-dma.h"
+#include "hmx-queue.h"
 
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
 #include "htp-ops.h"
+#include "htp-ops.h"
+#include "htp_iface.h"
 #include "worker-pool.h"
 
-#ifdef HTP_HAS_HMX
-#include "hmx-ops.h"
-#endif // HTP_HAS_HMX
-
 AEEResult htp_iface_open(const char * uri, remote_handle64 * handle) {
     struct htp_context * ctx;
     int                  err = 0;
@@ -38,7 +39,7 @@ AEEResult htp_iface_open(const char * uri, remote_handle64 * handle) {
         return AEE_ENOMEMORY;
     }
 
-    // Use the context structure as a handle
+    // Use the context structure as the handle
     *handle = (remote_handle64) ctx;
 
     // Enable FARF logs
@@ -100,6 +101,74 @@ AEEResult htp_iface_open(const char * uri, remote_handle64 * handle) {
         }
     }
 
+#if __HVX_ARCH__ >= 75
+    {
+        // Set HMX clock
+        HAP_power_request_t request;
+        memset(&request, 0, sizeof(HAP_power_request_t));
+        request.type = HAP_power_set_HMX_v2;
+        request.hmx_v2.set_clock = TRUE;
+        request.hmx_v2.target_corner = HAP_DCVS_EXP_VCORNER_MAX;
+        request.hmx_v2.min_corner = HAP_DCVS_EXP_VCORNER_MAX;
+        request.hmx_v2.max_corner = HAP_DCVS_EXP_VCORNER_MAX;
+        request.hmx_v2.perf_mode = HAP_CLK_PERF_HIGH;
+        FARF(ALWAYS, "Setting HMX clock\n");
+        err = HAP_power_set((void *) &ctx, &request);
+        if (err != AEE_SUCCESS) {
+            FARF(ERROR, "Error setting HMX clock.");
+            return err;
+        }
+    }
+#endif
+
+    return AEE_SUCCESS;
+}
+
+AEEResult htp_iface_etm(remote_handle64 handle, uint32_t enable) {
+    int err = enable ? HAP_user_etm_enable() : HAP_user_etm_disable();
+    if (err) {
+        if (err == AEE_EVERSIONNOTSUPPORT) {
+            FARF(ERROR, "API HAP_user_etm_enable/disable is not supported\n");
+        } else {
+            FARF(ERROR, "Error executing HAP_user_etm_enable/disable with error code : 0x%x\n", err);
+        }
+    }
+    return err;
+}
+
+AEEResult htp_iface_profiler(remote_handle64 handle, uint32_t mode, const htp_iface_pmu_conf* pmu_conf) {
+    struct htp_context * ctx = (struct htp_context *) handle;
+    if (!ctx) {
+        return AEE_EBADPARM;
+    }
+
+    if (mode == HTP_PROF_PMU) {
+        const uint32_t* events = pmu_conf->events;
+
+        // Pack 4 event IDs (low 8 bits) into each 32-bit config register
+        uint32_t evtcfg = 0, evtcfg1 = 0, cfg = 0, i = 0;
+        for (; i < HEX_NUM_PMU_COUNTERS/2; i++) {
+            evtcfg  |= ((events[i + 0] & 0xFF) << (i * 8));
+            evtcfg1 |= ((events[i + 4] & 0xFF) << (i * 8));
+        }
+
+        // For events >255 pack high 2 bits of all 8 event IDs into cfg register
+        // 2 bits per counter: bits [1:0] for counter 0, [3:2] for counter 1, etc.
+        for (i = 0; i < HEX_NUM_PMU_COUNTERS; i++) {
+            cfg |= (((events[i] >> 8) & 3) << (i * 2));
+        }
+
+        FARF(ALWAYS, "Configuring PMU registers: evtcfg = 0x%x, evtcfg1 = 0x%x, pmucfg = 0x%x", evtcfg, evtcfg1, cfg);
+
+        // Configure PMU registers
+        qurt_pmu_set(QURT_PMUCFG,     cfg);
+        qurt_pmu_set(QURT_PMUEVTCFG,  evtcfg);
+        qurt_pmu_set(QURT_PMUEVTCFG1, evtcfg1);
+        qurt_pmu_enable(1);
+    }
+
+    ctx->profiler = mode;
+
     return AEE_SUCCESS;
 }
 
@@ -115,94 +184,128 @@ AEEResult htp_iface_close(remote_handle64 handle) {
         return AEE_EITEMBUSY;
     }
 
+    // release the mmaps (if any)
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        if (ctx->mmap[i].size) {
+#if __HVX_ARCH__ > 73
+            HAP_munmap2((void *) ctx->mmap[i].base, ctx->mmap[i].size);
+#else
+            HAP_munmap((void *) ctx->mmap[i].base, ctx->mmap[i].size);
+#endif
+            ctx->mmap[i].size = 0;
+            ctx->mmap[i].base = NULL;
+            ctx->mmap[i].fd   = -1;
+        }
+    }
+
+    if (ctx->profiler) {
+        qurt_pmu_enable(1);
+    }
+
+    if (ctx->etm) {
+        HAP_user_etm_disable();
+    }
+
     free(ctx);
     return AEE_SUCCESS;
 }
 
-AEEResult htp_iface_enable_etm(remote_handle64 handle) {
-    int err = HAP_user_etm_enable();
-    if (err) {
-        if (err == AEE_EVERSIONNOTSUPPORT) {
-            FARF(ERROR, "API HAP_user_etm_enable is not supported\n");
-        } else {
-            FARF(ERROR, "Error executing HAP_user_etm_enable with error code : 0x%x\n", err);
+AEEResult htp_iface_mmap(remote_handle64 handle, uint32_t fd, uint32_t size) {
+    struct htp_context * ctx = (struct htp_context *) handle;
+    if (!ctx) {
+        return AEE_EBADPARM;
+    }
+
+    // See if we already have this mapping
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (m->fd == fd) {
+            return AEE_SUCCESS;
         }
     }
-    return err;
+
+    // Add new mapping
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (!m->size) {
+            FARF(HIGH, "mmap : fd %u size %u", fd, size);
+#if __HVX_ARCH__ > 73
+            void *va = HAP_mmap2(NULL, size, HAP_PROT_READ | HAP_PROT_WRITE, 0, fd, 0);
+#else
+            if (size > HTP_MMAP_MAX_VMEM) { // HAP_mmap has a size limit of 2GB
+                FARF(ERROR, "mmap failed : size %u exceeds 2GB limit for HAP_mmap", (uint32_t) size);
+                abort(); // can't do much else at this point
+            }
+
+            void *va = HAP_mmap(NULL, size, HAP_PROT_READ | HAP_PROT_WRITE, 0, fd, 0);
+#endif
+            if (va == (void*)-1) {
+                FARF(ERROR, "mmap failed : va %p fd %u size %u", va, fd, (uint32_t) size);
+                return AEE_EFAILED;
+            }
+
+            m->base   = (uint64_t) va;
+            m->fd     = fd;
+            m->size   = size;
+
+            return AEE_SUCCESS;
+        }
+    }
+
+    return AEE_ENOMEMORY;
 }
 
-AEEResult htp_iface_disable_etm(remote_handle64 handle) {
-    int err = HAP_user_etm_disable();
-    if (err) {
-        if (err == AEE_EVERSIONNOTSUPPORT) {
-            FARF(ERROR, "API HAP_user_etm_disable is not supported\n");
-        } else {
-            FARF(ERROR, "Error executing HAP_user_etm_disable with error code : 0x%x\n", err);
+AEEResult htp_iface_munmap(remote_handle64 handle, uint32 fd) {
+    struct htp_context * ctx = (struct htp_context *) handle;
+    if (!ctx) {
+        return AEE_EBADPARM;
+    }
+
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (fd < 0 || m->fd == fd) {
+            FARF(HIGH, "unmmap : base %p fd %u size %u", (void*) m->base, m->fd, (uint32_t) m->size);
+#if __HVX_ARCH__ > 73
+            HAP_munmap2((void *) m->base, m->size);
+#else
+            HAP_munmap((void *) m->base, m->size);
+#endif
+            m->size   = 0;
+            m->base   = NULL;
+            m->fd     = -1;
         }
     }
-    return err;
+
+    return AEE_SUCCESS;
 }
 
-static int vtcm_acquire(struct htp_context * ctx) {
-    int err;
+static void vtcm_acquire(struct htp_context * ctx) {
     if (!ctx->vtcm_valid) {
-        // Temporarily bump thread priority to make sure it's higher than other sessions.
-        // This way the resource manager will notify the other thread to release VTCM.
-        // Note that we need to reaquire VTCM at normal priority for this to work next time.
-        qurt_thread_set_priority(qurt_thread_get_id(), ctx->thread_prio - 10);
-        err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000);
+        int err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000u);
         if (err != 0) {
-            FARF(ERROR, "Failed to acquire VTCM: 0x%08x", (unsigned)err);
+            FARF(ERROR, "ggml-hex: failed to acquire VTCM: 0x%08x", (unsigned)err);
             abort();
         }
-        HAP_compute_res_release_cached(ctx->vtcm_rctx);
-        qurt_thread_set_priority(qurt_thread_get_id(), ctx->thread_prio);
 
-        err = HAP_compute_res_acquire_cached(ctx->vtcm_rctx, 1000000);
-        if (err != 0) {
-            FARF(ERROR, "Failed to acquire VTCM: 0x%08x", (unsigned)err);
-            abort();
-        }
+        ctx->vtcm_needs_release = false;
         ctx->vtcm_valid = true;
-    }
-
-    ctx->vtcm_inuse = true;
 
-
-
-    return 0;
+        // Drop the priority to make sure we get the release callback from other GGML-HTP and QNN-HTP sessions
+        HAP_compute_res_update_priority(ctx->vtcm_rctx, ctx->thread_prio + 10);
+    }
 }
 
-static int vtcm_release(struct htp_context * ctx) {
-    ctx->vtcm_inuse = false;
-
-    if (ctx->vtcm_valid && ctx->vtcm_needs_release) {
+static void vtcm_release(struct htp_context * ctx) {
+    if (ctx->vtcm_valid) {
         ctx->vtcm_valid         = false;
         ctx->vtcm_needs_release = false;
         HAP_compute_res_release_cached(ctx->vtcm_rctx);
     }
-
-    return 0;
 }
 
 static int vtcm_release_callback(unsigned int rctx, void * state) {
     struct htp_context * ctx = (struct htp_context *) state;
-
-    if (!ctx || ctx->vtcm_rctx != rctx) {
-        return AEE_EBADPARM;
-    }
-
-    // If VTCM is not inuse (not processing Ops) release it right here
-    // otherwise we'll release it once we're done with the current Op.
-
-    if (ctx->vtcm_inuse) {
-        ctx->vtcm_needs_release = true;
-        return 0;
-    }
-
-    ctx->vtcm_valid = false;
-    HAP_compute_res_release_cached(ctx->vtcm_rctx);
-
+    ctx->vtcm_needs_release = true;
     return 0;
 }
 
@@ -236,7 +339,6 @@ static int vtcm_alloc(struct htp_context * ctx) {
     ctx->vtcm_size          = vtcm_size;
     ctx->vtcm_rctx          = rctx;
     ctx->vtcm_valid         = false;
-    ctx->vtcm_inuse         = false;
     ctx->vtcm_needs_release = false;
 
     return 0;
@@ -253,7 +355,7 @@ static void vtcm_free(struct htp_context * ctx) {
 static void htp_packet_callback(dspqueue_t queue, int error, void * context);
 static void htp_error_callback(dspqueue_t queue, int error, void * context);
 
-AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx) {
+AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_queue_id, uint32 n_hvx, uint32 use_hmx, uint64_t max_vmem) {
     struct htp_context * ctx = (struct htp_context *) handle;
 
     if (!ctx) {
@@ -271,12 +373,12 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que
                               htp_error_callback,   // Error callback; no errors expected on the DSP
                               (void *) ctx,         // Callback context
                               &ctx->queue);
-
     if (err) {
         FARF(ERROR, "Queue import failed with 0x%08x", (unsigned) err);
         return err;
     }
 
+    ctx->max_vmem    = max_vmem;
     ctx->thread_id   = qurt_thread_get_id();
     ctx->thread_prio = qurt_thread_get_priority(ctx->thread_id);
 
@@ -288,18 +390,16 @@ AEEResult htp_iface_start(remote_handle64 handle, uint32 sess_id, uint64 dsp_que
     }
 
 #ifdef HTP_HAS_HMX
+    ctx->hmx_enabled = use_hmx;
+    ctx->hmx_queue   = NULL;
     if (use_hmx) {
-        ctx->vtcm_scratch_size = ctx->vtcm_size;
-        ctx->hmx_enabled       = 1;
-
-        FARF(HIGH, "HMX enabled: vtcm-scratch %zu", ctx->vtcm_scratch_size);
-    } else {
-        // HMX disabled: skip HMX initialisation so the
-        // dispatch loop falls through to the HVX compute paths.
-        ctx->hmx_enabled       = 0;
-        ctx->vtcm_scratch_size = ctx->vtcm_size;
-        FARF(HIGH, "HMX disabled (use_hmx=0): vtcm-scratch %zu", ctx->vtcm_scratch_size);
+        ctx->hmx_queue = hmx_queue_create(16, ctx->vtcm_rctx);
+        if (!ctx->hmx_queue) {
+            FARF(ERROR, "hmx-queue-create failed");
+            ctx->hmx_enabled = false;
+        }
     }
+    FARF(HIGH, "HMX %s (use_hmx=%d)", ctx->hmx_enabled ? "enabled" : "disabled", use_hmx);
 #endif
 
     qurt_sysenv_max_hthreads_t hw_threads;
@@ -362,13 +462,15 @@ AEEResult htp_iface_stop(remote_handle64 handle) {
     for (int i = 0; i < ctx->n_threads; i++) {
         dma_queue_delete(ctx->dma[i]);
     }
+
 #ifdef HTP_HAS_HMX
-    if (ctx->hmx_enabled) {
-        ctx->hmx_enabled = 0;
+    if (ctx->hmx_queue) {
+        hmx_queue_delete(ctx->hmx_queue);
+        ctx->hmx_queue = NULL;
     }
+    ctx->hmx_enabled = false;
 #endif
 
-
     vtcm_free(ctx);
 
     return AEE_SUCCESS;
@@ -382,1144 +484,392 @@ static void htp_error_callback(dspqueue_t queue, int error, void * context) {
 struct profile_data {
     uint64_t usecs;
     uint64_t cycles;
-    uint64_t pkts;
+    uint32_t pmu_counters[HEX_NUM_PMU_COUNTERS];
 };
 
-static inline void profile_start(struct profile_data * d) {
-    d->usecs  = HAP_perf_get_qtimer_count();
-    d->cycles = hex_get_cycles();
-    d->pkts   = hex_get_pktcnt();
+static inline void profile_start(uint32_t mode, struct profile_data * d) {
+    switch (mode) {
+        case HTP_PROF_PMU:
+            hex_get_pmu(d->pmu_counters);
+            // fallthrough
+        case HTP_PROF_BASIC:
+            d->usecs  = HAP_perf_get_qtimer_count();
+            d->cycles = hex_get_cycles();
+            break;
+        default:
+            break;
+    }
+}
+
+static inline void profile_stop(uint32_t mode, struct profile_data * d) {
+    uint32_t pmu_counters[HEX_NUM_PMU_COUNTERS];
+    switch (mode) {
+        case HTP_PROF_PMU:
+            hex_get_pmu(pmu_counters);
+            for (int i = 0; i < HEX_NUM_PMU_COUNTERS; i++) {
+                d->pmu_counters[i] = pmu_counters[i] - d->pmu_counters[i];
+            }
+            // fallthrough
+        case HTP_PROF_BASIC:
+            d->usecs  = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - d->usecs);
+            d->cycles = hex_get_cycles() - d->cycles;
+            break;
+        default:
+            break;
+    }
 }
 
-static inline void profile_stop(struct profile_data * d) {
-    d->usecs  = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - d->usecs);
-    d->cycles = hex_get_cycles() - d->cycles;
-    d->pkts   = hex_get_pktcnt() - d->pkts;
-}
+static int execute_op(struct htp_ops_context * octx) {
+    switch (octx->op) {
+        case HTP_OP_MUL_MAT:
+            return op_matmul(octx);
 
-static int send_htp_rsp(struct htp_context *     c,
-                        uint32_t                 op,
-                        uint32_t                 status,
-                        struct dspqueue_buffer * bufs,
-                        size_t                   n_bufs,
-                        struct profile_data *    prof) {
-    // Prep response struct (zero-init to clear cmp/unused union)
-    struct htp_general_rsp rsp;
-    memset(&rsp, 0, sizeof(rsp));
-    rsp.op          = op;
-    rsp.status      = status;
-    rsp.prof_usecs  = prof->usecs;
-    rsp.prof_cycles = prof->cycles;
-    rsp.prof_pkts   = prof->pkts;
-
-    int err = dspqueue_write(c->queue,
-                             0,                       // Flags
-                             n_bufs,
-                             bufs,                    // Buffer references
-                             sizeof(rsp),
-                             (const uint8_t *) &rsp,  // Message
-                             DSPQUEUE_TIMEOUT_NONE);
+        case HTP_OP_MUL_MAT_ID:
+            return op_matmul_id(octx);
 
-    if (err != 0) {
-        FARF(ERROR, "dspqueue_write failed: 0x%08x", (unsigned) err);
-    }
+        case HTP_OP_MUL:
+        case HTP_OP_ADD:
+        case HTP_OP_SUB:
+        case HTP_OP_DIV:
+        case HTP_OP_ADD_ID:
+            return op_binary(octx);
 
-    return err;
-}
+        case HTP_OP_RMS_NORM:
+        case HTP_OP_SCALE:
+        case HTP_OP_SQR:
+        case HTP_OP_SQRT:
+        case HTP_OP_UNARY_SOFTPLUS:
+        case HTP_OP_UNARY_SIGMOID:
+        case HTP_OP_UNARY_NEG:
+        case HTP_OP_UNARY_EXP:
+            return op_unary(octx);
 
-static void proc_matmul_req(struct htp_context *     ctx,
-                            struct htp_general_req * req,
-                            struct dspqueue_buffer * bufs,
-                            size_t                   n_bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_matmul(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_UNARY_SILU:
+        case HTP_OP_UNARY_GELU:
+        case HTP_OP_GLU_SWIGLU:
+        case HTP_OP_GLU_SWIGLU_OAI:
+        case HTP_OP_GLU_GEGLU:
+            return op_activations(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_SOFTMAX:
+            return op_softmax(octx);
 
-static void proc_argsort_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_argsort(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_ROPE:
+            return op_rope(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_FLASH_ATTN_EXT:
+            return op_flash_attn_ext(octx);
 
-static void proc_cpy_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_cpy(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_SET_ROWS:
+            return op_set_rows(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_GET_ROWS:
+            return op_get_rows(octx);
 
-static void proc_repeat_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = op_repeat(&octx);
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_SUM_ROWS:
+            return op_sum_rows(octx);
 
-static void proc_get_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_get_rows(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_CPY:
+            return op_cpy(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_REPEAT:
+            return op_repeat(octx);
 
-static void proc_matmul_id_req(struct htp_context *     ctx,
-                               struct htp_general_req * req,
-                               struct dspqueue_buffer * bufs,
-                               size_t                   n_bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[3].fd;
-    rsp_bufs[0].ptr    = bufs[3].ptr;
-    rsp_bufs[0].size   = bufs[3].size;
-    rsp_bufs[0].offset = bufs[3].offset;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.src2                   = req->src2;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-    octx.dst.data  = (uint32_t) bufs[3].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_matmul_id(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_ARGSORT:
+            return op_argsort(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_SSM_CONV:
+            return op_ssm_conv(octx);
 
-static void proc_binary_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_binary(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_CUMSUM:
+            return op_cumsum(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_FILL:
+            return op_fill(octx);
 
-static void proc_add_id_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[3].fd;
-    rsp_bufs[0].ptr    = bufs[3].ptr;
-    rsp_bufs[0].offset = bufs[3].offset;
-    rsp_bufs[0].size   = bufs[3].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.src2                   = req->src2;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-    octx.dst.data  = (uint32_t) bufs[3].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_binary(&octx);
-        vtcm_release(ctx);
-    }
+        case HTP_OP_DIAG:
+            return op_diag(octx);
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+        case HTP_OP_SOLVE_TRI:
+            return op_solve_tri(octx);
+
+        case HTP_OP_INVALID:
+            break;
 
-static void proc_unary_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_unary(&octx);
-        vtcm_release(ctx);
+        // No default to catch missing cases
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    FARF(ERROR, "Unknown Op %u", octx->op);
+    return -1;
 }
 
-static void proc_sum_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_sum_rows(&octx);
-        vtcm_release(ctx);
+static inline bool reuse_buf(struct htp_context *ctx, uint32_t *m_reuse, struct htp_buf_desc *b) {
+    b->base = NULL;
+
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = ctx->mmap + i;
+        if (m->size && m->fd == b->fd) {
+            b->base   = m->base;
+            *m_reuse |= (1 << i);
+            return true;
+        }
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    return false;
 }
 
-static void proc_ssm_conv_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    // We've written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup OP context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_ssm_conv(&octx);
-        vtcm_release(ctx);
+static inline void drop_mmap(struct htp_context *ctx, struct htp_mmap *m) {
+    if (m->size) {
+        FARF(HIGH, "unmap : fd %u base %p size %u", m->fd, (void*) m->base, (uint32_t) m->size);
+#if __HVX_ARCH__ > 73
+        HAP_munmap2((void *) m->base, m->size);
+#else
+        HAP_munmap((void *) m->base, m->size);
+#endif
+        m->size = 0;
+        m->base = 0;
+        m->fd   = -1;
     }
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
 }
 
-static void proc_cumsum_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We've written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[1].fd;
-    rsp_bufs[0].ptr    = bufs[1].ptr;
-    rsp_bufs[0].offset = bufs[1].offset;
-    rsp_bufs[0].size   = bufs[1].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx       = ctx;
-    octx.src0      = req->src0;
-    octx.dst       = req->dst;
-    octx.flags     = req->flags;
-    octx.op        = req->op;
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.dst.data  = (uint32_t) bufs[1].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_cumsum(&octx);
-        vtcm_release(ctx);
-    }
+static inline void mmap_buf(struct htp_context *ctx, struct htp_buf_desc *b) {
+    if (b->base) return; // already mapped
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+    // find unused mapping
+    for (uint32_t i=0; i < HTP_MAX_MMAPS; i++) {
+        struct htp_mmap *m = &ctx->mmap[i];
+        if (!m->size) {
+#if __HVX_ARCH__ > 73
+            void *va = HAP_mmap2(NULL, b->size, HAP_PROT_READ | HAP_PROT_WRITE, 0, b->fd, 0);
+#else
+            if (b->size > HTP_MMAP_MAX_VMEM) { // HAP_mmap has a size limit of 2GB
+                FARF(ERROR, "mmap failed : size %u exceeds 2GB limit for HAP_mmap", (uint32_t) b->size);
+                abort(); // can't do much else at this point
+            }
 
-static void proc_activations_req(struct htp_context *     ctx,
-                                 struct htp_general_req * req,
-                                 struct dspqueue_buffer * bufs,
-                                 uint32_t                 n_bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    int write_idx = (n_bufs == 3) ? 2 : 1;
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[write_idx].fd;
-    rsp_bufs[0].ptr    = bufs[write_idx].ptr;
-    rsp_bufs[0].offset = bufs[write_idx].offset;
-    rsp_bufs[0].size   = bufs[write_idx].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                          DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    if (3 == n_bufs) {
-        octx.src1 = req->src1;
-    }
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    if (3 == n_bufs) {
-        octx.src1.data = (uint32_t) bufs[1].ptr;
-        octx.dst.data  = (uint32_t) bufs[2].ptr;
-    } else {
-        octx.dst.data = (uint32_t) bufs[1].ptr;
-    }
-    octx.n_threads = ctx->n_threads;
+            void *va = HAP_mmap(NULL, b->size, HAP_PROT_READ | HAP_PROT_WRITE, 0, b->fd, 0);
+#endif
+            if (va == (void*)-1) {
+                FARF(ERROR, "mmap failed : va %p fd %u size %u", va, b->fd, (uint32_t) b->size);
+                abort(); // can't do much else at this point
+            }
 
-    struct profile_data prof;
-    profile_start(&prof);
+            m->base   = b->base = (uint64_t) va;
+            m->fd     = b->fd;
+            m->size   = b->size;
 
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        if (octx.op == HTP_OP_SOFTMAX) {
-            rsp_status = op_softmax(&octx);
-        } else {
-            rsp_status = op_activations(&octx);
+            FARF(HIGH, "mmap : fd %u base %p size %u", m->fd, (void*) m->base, (uint32_t) m->size);
+            return;
         }
-        vtcm_release(ctx);
     }
-
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
 }
 
-static void proc_rope_req(struct htp_context *     ctx,
-                          struct htp_general_req * req,
-                          struct dspqueue_buffer * bufs,
-                          uint32_t                 n_bufs) {
-    struct dspqueue_buffer rsp_bufs[HTP_MAX_PACKET_BUFFERS];
-
-    int write_idx = n_bufs - 1;
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[write_idx].fd;
-    rsp_bufs[0].ptr    = bufs[write_idx].ptr;
-    rsp_bufs[0].offset = bufs[write_idx].offset;
-    rsp_bufs[0].size   = bufs[write_idx].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                          DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    if (4 == n_bufs) {
-        octx.src2 = req->src2;
-    }
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    if (4 == n_bufs) {
-        octx.src2.data = (uint32_t) bufs[2].ptr;
-        octx.dst.data  = (uint32_t) bufs[3].ptr;
-    } else {
-        octx.dst.data = (uint32_t) bufs[2].ptr;
-    }
-    octx.n_threads = ctx->n_threads;
+static void prep_op_bufs(struct htp_context *ctx, struct htp_buf_desc *bufs, uint32_t n_bufs) {
+    uint32_t m_reuse = 0; // mmap reuse mask (index from ctx->mmap array)
+    uint32_t b_reuse = 0; // buf reuse count
 
-    struct profile_data prof;
-    profile_start(&prof);
+    uint64_t m_vmem  = 0; // mapped vmem
+    uint64_t e_vmem  = 0; // extra  vmem
 
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_rope(&octx);
-        vtcm_release(ctx);
+    // See what we can reuse
+    for (uint32_t i=0; i < n_bufs; i++) {
+        struct htp_buf_desc *b = bufs + i;
+        if (reuse_buf(ctx, &m_reuse, b)) { b_reuse++; } else { e_vmem += b->size; }
+        FARF(HIGH, "prep-buf #%u : pass0 fd %u base %p size %u flags 0x%x", i, b->fd, (void*) b->base, (uint32_t) b->size, b->flags);
     }
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
-
-static void proc_set_rows_req(struct htp_context * ctx, struct htp_general_req * req, struct dspqueue_buffer * bufs) {
-    struct dspqueue_buffer rsp_bufs[1];
-
-    // We had written to the output buffer, we'd also need to flush it
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                         DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);  // Invalidate CPU
-
-    // Setup Op context
-    struct htp_ops_context octx = { 0 };
-    octx.ctx                    = ctx;
-    octx.src0                   = req->src0;
-    octx.src1                   = req->src1;
-    octx.dst                    = req->dst;
-    octx.flags                  = req->flags;
-    octx.op                     = req->op;
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.dst.data  = (uint32_t) bufs[2].ptr;
-    octx.n_threads = ctx->n_threads;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_set_rows(&octx);
-        vtcm_release(ctx);
-    }
+    if (b_reuse == n_bufs) return; // all bufs reuse existing mappings
 
-    profile_stop(&prof);
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
-}
+    // See how much vmem we have mmaped right now
+    for (uint32_t i=0; i<HTP_MAX_MMAPS; i++) { m_vmem += ctx->mmap[i].size; }
 
-static void proc_flash_attn_ext_req(struct htp_context *     ctx,
-                                    struct htp_general_req * req,
-                                    struct dspqueue_buffer * bufs,
-                                    uint32_t                 n_bufs) {
-    // Setup Op context
-    struct htp_ops_context octx;
-    memset(&octx, 0, sizeof(octx));
-
-    octx.ctx   = ctx;
-    octx.n_threads = ctx->n_threads;
-
-    octx.src0  = req->src0;
-    octx.src1  = req->src1;
-    octx.src2  = req->src2;
-    octx.src3  = req->src3;
-    octx.src4  = req->src4;
-    octx.dst   = req->dst;
-    octx.flags = req->flags;
-    octx.op    = req->op;
-
-    memcpy(octx.op_params, req->op_params, sizeof(octx.op_params));
-
-    // Update data pointers
-    octx.src0.data = (uint32_t) bufs[0].ptr;
-    octx.src1.data = (uint32_t) bufs[1].ptr;
-    octx.src2.data = (uint32_t) bufs[2].ptr;
-
-    int last_buf = 3;
-
-    if (octx.src3.ne[0]) {
-        octx.src3.data = (uint32_t) bufs[last_buf++].ptr; // mask is valid
-    }
+    FARF(HIGH, "prep-bufs : pass1 mmap-vmem %zu extra-vmem %zu max-vmem %zu : n-bufs %u b-reuse %u",
+            (size_t) m_vmem, (size_t) e_vmem, (size_t) ctx->max_vmem, n_bufs, b_reuse);
 
-    if (octx.src4.ne[0]) {
-        octx.src4.data = (uint32_t) bufs[last_buf++].ptr; // sinks is valid
+    if ((m_vmem + e_vmem) > ctx->max_vmem) {
+        // Drop unused mappings
+        for (uint32_t i=0; i < HTP_MAX_MMAPS; i++) {
+            bool used = m_reuse & (1<<i);
+            if (!used) { drop_mmap(ctx, ctx->mmap + i); }
+        }
     }
 
-    octx.dst.data = (uint32_t) bufs[last_buf].ptr;
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        rsp_status = op_flash_attn_ext(&octx);
-        vtcm_release(ctx);
+    // Create missing mappings
+    for (uint32_t i=0; i < n_bufs; i++) {
+        struct htp_buf_desc *b = bufs + i;
+        mmap_buf(ctx, b);
+        FARF(HIGH, "prep-buf #%u : pass1 fd %u base %p size %u flags 0x%x", i, b->fd, (void*) b->base, (uint32_t) b->size, b->flags);
     }
+}
 
-    profile_stop(&prof);
+static void prep_tensor(struct htp_context *ctx, struct htp_buf_desc *bufs, uint32_t idx, struct htp_tensor *t) {
+    uint32_t offset = t->data;
+    uint32_t size   = t->size;
+    uint32_t bi     = t->bi;
 
-    struct dspqueue_buffer rsp_buf = bufs[last_buf];
-    rsp_buf.flags = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |         // Flush HTP
-                     DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT); // Invalidate CPU
+    t->data = bufs[bi].base + offset; // update data to the actual pointer
 
-    send_htp_rsp(ctx, req->op, rsp_status, &bufs[last_buf], 1, &prof);
+    FARF(HIGH, "prep-tensor #%u: bi %u offset %u size %u data %p : %u:%u:%u:%u", idx, t->bi, offset, t->size, (void*) t->data,
+        t->ne[0], t->ne[1], t->ne[3], t->ne[3]);
 }
 
-#ifdef HTP_HAS_HMX
-// ---------------------------------------------------------------------------
-// HMX operation wrappers — self-contained, bypass htp_ops_context / htp_spad.
-// VTCM, DMA and thread dispatch are managed inside the HMX kernels.
-// ---------------------------------------------------------------------------
-
-static void proc_hmx_matmul_req(struct htp_context *     ctx,
-                                struct htp_general_req * req,
-                                struct dspqueue_buffer * bufs,
-                                size_t                   n_bufs) {
-    // HMX weight tile requires N to be 32-aligned.
-    if (req->src0.ne[1] % 32 != 0) {
-        proc_matmul_req(ctx, req, bufs, n_bufs);
-        return;
+static void prep_tensors(struct htp_context *ctx, struct htp_buf_desc *bufs, struct htp_tensor *tens, uint32_t n_tens) {
+    for (uint32_t i=0; i < n_tens; i++) {
+        prep_tensor(ctx, bufs, i, tens + i);
     }
+}
 
-    const bool is_batched = (req->src0.ne[2] * req->src0.ne[3] > 1 ||
-                             req->src1.ne[2] * req->src1.ne[3] > 1);
+static void proc_op_req(struct htp_ops_context * octx, struct htp_tensor *tens, uint32_t idx, struct htp_op_desc * op) {
+    memcpy(octx->op_params, op->params, sizeof(octx->op_params));
+    octx->flags = op->flags;
+    octx->op    = op->opcode;
 
-    // Quantised HMX kernels only handle flat 2D matmul (host already rejects
-    // batched quantised, but guard here too).  F16 batched matmul is handled
-    // by the dedicated wrapper in hmx-matmul-ops.c.
-    if (is_batched &&
-        req->src0.type != HTP_TYPE_F16) {
-        proc_matmul_req(ctx, req, bufs, n_bufs);
-        return;
-    }
+    FARF(HIGH, "proc-op #%u: opcode %u flags 0x%x", idx, octx->op, octx->flags);
 
-    // HMX assumes contiguous row-major layout.  Fall back for permuted
-    // tensors where strides are non-monotonic (e.g. transposed KV cache).
-    if (req->src0.nb[0] > req->src0.nb[1] ||
-        req->src1.nb[0] > req->src1.nb[1]) {
-        proc_matmul_req(ctx, req, bufs, n_bufs);
-        return;
-    }
+    // Prep input tensors
+    for (uint32_t i=0; i<HTP_OP_MAX_INPUTS; i++) {
+        struct htp_tensor *src = op->src[i] == 0xffff ? NULL : tens + op->src[i];
 
-    // M alignment: when M > 32 but not 32-aligned, we split into
-    // HMX (first m_hmx = M & ~31 rows) + HVX (remaining m_tail rows).
-    // When M <= 32 and not 32-aligned, fall back entirely to HVX.
-    const int m_total = (int) req->src1.ne[1];
-    const int m_tail  = m_total % 32;
-    const int m_hmx   = m_total - m_tail;
+        octx->src[i] = src;
+        if (!src) continue;
 
-    if (m_hmx == 0) {
-        proc_matmul_req(ctx, req, bufs, n_bufs);
-        return;
-    }
-
-    // HMX supports F16, Q4_0, Q8_0, IQ4_NL, MXFP4 weights.
-    // Other types fall back to HVX.
-    {
-        uint32_t wtype = req->src0.type;
-        if (wtype != HTP_TYPE_F16 && wtype != HTP_TYPE_Q4_0 && wtype != HTP_TYPE_Q8_0 && wtype != HTP_TYPE_IQ4_NL &&
-            wtype != HTP_TYPE_MXFP4) {
-            proc_matmul_req(ctx, req, bufs, n_bufs);
-            return;
-        }
-        // Quantised HMX path requires K aligned to 256 (x4x2 super-block).
-        // F16 HMX path requires K aligned to 32 (tile width).
-        if (wtype != HTP_TYPE_F16 && req->src0.ne[0] % 256 != 0) {
-            proc_matmul_req(ctx, req, bufs, n_bufs);
-            return;
-        }
-        if (wtype == HTP_TYPE_F16 && req->src0.ne[0] % 32 != 0) {
-            proc_matmul_req(ctx, req, bufs, n_bufs);
-            return;
+        if (!(src->flags & HTP_TENSOR_FLUSHED) && (src->flags & HTP_TENSOR_COMPUTE)) {
+            // flush compute buffers on input
+            hex_l2flush((void *) src->data, src->size);
         }
+
+        FARF(HIGH, "prep-src #%u: data %p size %u : %u:%u:%u:%u", op->src[i], (void*) src->data, src->size,
+            src->ne[0], src->ne[1], src->ne[3], src->ne[3]);
     }
 
-    (void) n_bufs;
-
-    struct dspqueue_buffer rsp_bufs[1];
-    rsp_bufs[0].fd     = bufs[2].fd;
-    rsp_bufs[0].ptr    = bufs[2].ptr;
-    rsp_bufs[0].size   = bufs[2].size;
-    rsp_bufs[0].offset = bufs[2].offset;
-    rsp_bufs[0].flags  = (DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER |
-                          DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT);
-
-    // src0 = weights, src1 = activation, dst = output
-    void  * wgt = (void  *) bufs[0].ptr;
-    float * act = (float *) bufs[1].ptr;
-    float * dst = (float *) bufs[2].ptr;
-
-    int k = (int) req->src0.ne[0];  // inner dimension
-    int n = (int) req->src0.ne[1];  // weight columns
-
-
-    struct profile_data prof;
-    profile_start(&prof);
-
-    uint32_t rsp_status = HTP_STATUS_INTERNAL_ERR;
-
-    // --- Phase 1: HMX on the first m_hmx (32-aligned) rows ---
-    if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-        int ret = -1;
-
-        const int ne02 = (int) req->src0.ne[2];
-        const int ne03 = (int) req->src0.ne[3];
-        const int ne12 = (int) req->src1.ne[2];
-        const int ne13 = (int) req->src1.ne[3];
-        // Row strides in elements. For compact tensors these equal k; for
-        // permuted attention views they can be larger, so pass the real stride.
-        const int act_stride    = (int)(req->src1.nb[1] / sizeof(float));
-        const int weight_stride = (int)(req->src0.nb[1] / sizeof(__fp16));
-
-        switch (req->src0.type) {
-            case HTP_TYPE_F16:
-                if (is_batched) {
-                    hmx_matmul_w16a32_batched_params_t batch_params = {
-                        .dst             = dst,
-                        .activation      = act,
-                        .permuted_weight = (const __fp16 *) wgt,
-                        .m               = m_hmx,
-                        .k               = k,
-                        .n               = n,
-                        .act_stride      = act_stride,
-                        .weight_stride   = weight_stride,
-                        .dst_stride      = (int)(req->dst.nb[1] / sizeof(float)),
-                        .ne02            = ne02,
-                        .ne03            = ne03,
-                        .ne12            = ne12,
-                        .ne13            = ne13,
-                        .src0_nb2        = req->src0.nb[2],
-                        .src0_nb3        = req->src0.nb[3],
-                        .src1_nb2        = req->src1.nb[2],
-                        .src1_nb3        = req->src1.nb[3],
-                        .dst_nb2         = req->dst.nb[2],
-                        .dst_nb3         = req->dst.nb[3],
-                    };
-                    ret = hmx_mat_mul_permuted_w16a32_batched(ctx, &batch_params);
-                } else {
-                    ret = hmx_mat_mul_permuted_w16a32(ctx, dst, act,
-                                                      (const __fp16 *) wgt,
-                                                      m_hmx, k, n,
-                                                      act_stride,
-                                                      weight_stride);
-                }
-                break;
-            default:
-                ret = hmx_mat_mul_permuted_qk_0_d16a32(ctx, dst, act,
-                                                       (const uint8_t *) wgt,
-                                                       m_hmx, k, n, (int) req->src0.type);
-                break;
-        }
+    // Prep output tensor
+    struct htp_tensor *dst = tens + op->dst;
 
-        if (ret == 0) {
-            rsp_status = HTP_STATUS_OK;
-        } else {
-            FARF(HIGH, "HMX matmul failed (ret=%d), falling back to HVX", ret);
-            vtcm_release(ctx);
-            req->flags &= ~HTP_OPFLAGS_SKIP_QUANTIZE;
-            proc_matmul_req(ctx, req, bufs, n_bufs);
-            return;
-        }
-        vtcm_release(ctx);
-    }
+    octx->dst = dst;
 
-    // --- Phase 2: HVX on the remaining m_tail rows ---
-    if (m_tail > 0 && rsp_status == HTP_STATUS_OK) {
-        struct htp_ops_context octx = { 0 };
-        octx.ctx       = ctx;
-        octx.src0      = req->src0;         // weights: unchanged
-        octx.src1      = req->src1;
-        octx.src1.ne[1] = m_tail;           // only tail rows
-        octx.dst       = req->dst;
-        octx.dst.ne[1]  = m_tail;           // only tail rows
-        // Always re-quantize tail src1: HMX Phase 1 overwrites VTCM,
-        // so any previously cached quantized data (SKIP_QUANTIZE pipeline)
-        // is invalid.
-        octx.flags     = req->flags & ~HTP_OPFLAGS_SKIP_QUANTIZE;
-        octx.op        = req->op;
-        octx.n_threads = ctx->n_threads;
-
-        // Offset activation and dst pointers past the HMX-processed rows.
-        // Use nb[1] (row stride in bytes) to compute the byte offset.
-        octx.src0.data = (uint32_t) bufs[0].ptr;
-        octx.src1.data = (uint32_t)((uint8_t *) bufs[1].ptr + (size_t) m_hmx * req->src1.nb[1]);
-        octx.dst.data  = (uint32_t)((uint8_t *) bufs[2].ptr + (size_t) m_hmx * req->dst.nb[1]);
-
-        FARF(HIGH, "proc_hmx_matmul: HVX tail m_tail=%d act=%p dst=%p",
-             m_tail, (void *)(uintptr_t) octx.src1.data, (void *)(uintptr_t) octx.dst.data);
-
-        if (vtcm_acquire(ctx) == AEE_SUCCESS) {
-            uint32_t hvx_ret = op_matmul(&octx);
-            vtcm_release(ctx);
-            if (hvx_ret != HTP_STATUS_OK) {
-                FARF(ERROR, "HVX tail matmul failed (ret=%u)", hvx_ret);
-                rsp_status = HTP_STATUS_INTERNAL_ERR;
-            }
-        } else {
-            rsp_status = HTP_STATUS_INTERNAL_ERR;
-        }
-    }
+    FARF(HIGH, "prep-dst #%u: data %p size %u : %u:%u:%u:%u", op->dst, (void*) dst->data, dst->size,
+        dst->ne[0], dst->ne[1], dst->ne[3], dst->ne[3]);
+
+    (void) execute_op(octx);
 
-    profile_stop(&prof);
+    // flush buffers on output
+    hex_l2flush((void *) dst->data, dst->size);
+    dst->flags |= HTP_TENSOR_FLUSHED;
 
-    send_htp_rsp(ctx, req->op, rsp_status, rsp_bufs, 1, &prof);
+    FARF(HIGH, "post-dst #%u: data %p size %u : %u:%u:%u:%u", op->dst, (void*) dst->data, dst->size,
+        dst->ne[0], dst->ne[1], dst->ne[3], dst->ne[3]);
 }
 
-#endif // HTP_HAS_HMX
+#define DSPQUEUE_POLL_TIMEOUT_USEC 100
+#define DSPQUEUE_POLL_COUNT        100
 
 static void htp_packet_callback(dspqueue_t queue, int error, void * context) {
     struct htp_context * ctx = (struct htp_context *) context;
 
-    // Repeatedly read packets from the queue until it's empty. We don't
-    // necessarily get a separate callback for each packet, and new packets
-    // may arrive while we're processing the previous one. This ensures we
-    // keep the DSP busy as much as possible and avoid waiting for the CPU.
+    int err;
 
-    while (1) {
-        struct htp_general_req req;
-        uint32_t               req_size;
+    uint32_t poll_count = DSPQUEUE_POLL_COUNT;
 
-        struct dspqueue_buffer bufs[HTP_MAX_PACKET_BUFFERS];
-        uint32_t               n_bufs;
-        uint32_t               flags;
+    vtcm_acquire(ctx);
 
-        // Read packet from queue
-        int err = dspqueue_read_noblock(queue, &flags,
-                                        HTP_MAX_PACKET_BUFFERS,  // Maximum number of buffer references
-                                        &n_bufs,                 // Number of buffer references
-                                        bufs,                    // Buffer references
-                                        sizeof(req),             // Max message length
-                                        &req_size,               // Message length
-                                        (uint8_t *) &req);       // Message
+    while (!ctx->vtcm_needs_release) {
+        struct htp_opbatch_req req;
+        uint32_t r_size = sizeof(req);
 
+        struct dspqueue_buffer dbuf;
+        uint32_t n_dbufs = 1;
+        uint32_t flags   = 0;
+
+        err = dspqueue_read_noblock(queue, &flags, n_dbufs, &n_dbufs, &dbuf, r_size, &r_size, (uint8_t *) &req);
         if (err == AEE_EWOULDBLOCK) {
-            // Consumed all packets available for now
-            return;
+            if (--poll_count) {
+                qurt_sleep(DSPQUEUE_POLL_TIMEOUT_USEC);
+                continue;
+            }
+            break;
         }
 
         if (err != 0) {
             FARF(ERROR, "dspqueue_read_noblock failed: 0x%08x", (unsigned) err);
-            return;
+            break;
         }
 
-        if (req_size != sizeof(req)) {
-            FARF(ERROR, "Invalid request size");
+        if (r_size < sizeof(req) || n_dbufs != 1) {
+            FARF(ERROR, "invalid request : size %u n-dbufs %u", r_size, n_dbufs);
             continue;
         }
 
-        if (req.flags & HTP_OPFLAGS_EARLY_WAKEUP) {
-            // Host wants early notification
-            dspqueue_write_early_wakeup_noblock(ctx->queue, 10, 0);
-        }
-
-        // Process packet based on its message type
-        switch (req.op) {
-            case HTP_OP_MUL_MAT:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad matmul-req buffer list");
-                    continue;
-                }
-#ifdef HTP_HAS_HMX
-                if (ctx->hmx_enabled) {
-                    proc_hmx_matmul_req(ctx, &req, bufs, n_bufs);
-                } else
-#endif
-                {
-                    proc_matmul_req(ctx, &req, bufs, n_bufs);
-                }
-                break;
+        // Reset poll count for valid requests
+        poll_count = DSPQUEUE_POLL_COUNT;
 
-            case HTP_OP_MUL_MAT_ID:
-                if (n_bufs != 4) {
-                    FARF(ERROR, "Bad matmul-id-req buffer list");
-                    continue;
-                }
-                proc_matmul_id_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_MUL:
-            case HTP_OP_ADD:
-            case HTP_OP_SUB:
-            case HTP_OP_DIV:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad binary-req buffer list");
-                    continue;
-                }
-                proc_binary_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_RMS_NORM:
-            case HTP_OP_SCALE:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
+        const uint32_t n_bufs = req.n_bufs;
+        const uint32_t n_tens = req.n_tensors;
+        const uint32_t n_ops  = req.n_ops;
 
-                proc_unary_req(ctx, &req, bufs);
-                break;
-
-            case HTP_OP_SQR:
-            case HTP_OP_SQRT:
-            case HTP_OP_UNARY_NEG:
-            case HTP_OP_UNARY_EXP:
-            case HTP_OP_UNARY_SIGMOID:
-            case HTP_OP_UNARY_SOFTPLUS:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
-
-                proc_unary_req(ctx, &req, bufs);
-                break;
+        const uint32_t b_size = sizeof(struct htp_buf_desc)  * n_bufs;
+        const uint32_t t_size = sizeof(struct htp_tensor)    * n_tens;
+        const uint32_t o_size = sizeof(struct htp_op_desc)   * n_ops;
+        const uint32_t p_size = sizeof(struct htp_prof_desc) * n_ops;
 
-            case HTP_OP_SUM_ROWS:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad unary-req buffer list");
-                    continue;
-                }
+        if (dbuf.size < b_size + t_size + o_size + p_size) {
+            FARF(ERROR, "invalid opbatch memory block size %u", dbuf.size);
+            break;
+        }
 
-                proc_sum_rows_req(ctx, &req, bufs);
-                break;
+        FARF(HIGH, "processing opbatch #%u: n-bufs %u n-tensors %u n-ops %u : m-size %u b-size %u t-size %u o-size %u", req.id,
+                n_bufs, n_tens, n_ops, dbuf.size, b_size, t_size, o_size);
 
-            case HTP_OP_UNARY_SILU:
-            case HTP_OP_UNARY_GELU:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad act-req buffer list");
-                    continue;
-                }
-                proc_activations_req(ctx, &req, bufs, n_bufs);
-                break;
-
-            case HTP_OP_GLU_SWIGLU:
-            case HTP_OP_GLU_SWIGLU_OAI:
-            case HTP_OP_SOFTMAX:
-            case HTP_OP_GLU_GEGLU:
-                if ((n_bufs != 2) && (n_bufs != 3)) {
-                    FARF(ERROR, "Bad act-req buffer list");
-                    continue;
-                }
-                proc_activations_req(ctx, &req, bufs, n_bufs);
-                break;
+        // Setup descriptor pointers
+        uint8_t * m_ptr = dbuf.ptr;
+        struct htp_buf_desc* bufs = (struct htp_buf_desc*)  m_ptr; m_ptr += b_size;
+        struct htp_tensor*   tens = (struct htp_tensor*)    m_ptr; m_ptr += t_size;
+        struct htp_op_desc*   ops = (struct htp_op_desc*)   m_ptr; m_ptr += o_size;
+        struct htp_prof_desc* pds = (struct htp_prof_desc*) m_ptr;
 
-            case HTP_OP_ADD_ID:
-                if (n_bufs != 4) {
-                    FARF(ERROR, "Bad add-id-req buffer list");
-                    continue;
-                }
-                proc_add_id_req(ctx, &req, bufs);
-                break;
+        prep_op_bufs(ctx, bufs, n_bufs);
+        prep_tensors(ctx, bufs, tens, n_tens);
 
-            case HTP_OP_ROPE:
-                if ((n_bufs != 3) && (n_bufs != 4)) {
-                    FARF(ERROR, "Bad rope-req buffer list");
-                    continue;
-                }
-                proc_rope_req(ctx, &req, bufs, n_bufs);
-                break;
+        struct htp_ops_context *octx = &ctx->octx;
+        memset(octx, 0, sizeof(*octx));
+        octx->n_threads = ctx->n_threads;
+        octx->ctx       = ctx;
 
-            case HTP_OP_FLASH_ATTN_EXT:
-                if (!(n_bufs >= 4 && n_bufs <= 6)) {
-                    FARF(ERROR, "Bad flash-attn-ext-req buffer list");
-                    continue;
-                }
-                proc_flash_attn_ext_req(ctx, &req, bufs, n_bufs);
-                break;
+        for (uint32_t i=0; i < n_ops; i++) {
+            struct profile_data prof;
 
-            case HTP_OP_SET_ROWS:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad set-rows-req buffer list");
-                    continue;
-                }
-                proc_set_rows_req(ctx, &req, bufs);
-                break;
+            profile_start(ctx->profiler, &prof);
 
-            case HTP_OP_GET_ROWS:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad get-rows-req buffer list");
-                    continue;
-                }
-                proc_get_rows_req(ctx, &req, bufs);
-                break;
+            proc_op_req(octx, tens, i, &ops[i]);
 
-            case HTP_OP_CPY:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad cpy-req buffer list");
-                    continue;
-                }
-                proc_cpy_req(ctx, &req, bufs);
-                break;
+            profile_stop(ctx->profiler, &prof);
 
-            case HTP_OP_REPEAT:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad repeat-req buffer list");
-                    continue;
+            if (ctx->profiler) {
+                pds[i].opcode = ops[i].opcode;
+                pds[i].usecs  = prof.usecs;
+                pds[i].cycles = prof.cycles;
+                for (int j = 0; j < HEX_NUM_PMU_COUNTERS; j++) {
+                    pds[i].pmu[j] = prof.pmu_counters[j];
                 }
-                proc_repeat_req(ctx, &req, bufs);
-                break;
+            }
+        }
 
-            case HTP_OP_ARGSORT:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad argsort-req buffer list");
-                    continue;
-                }
-                proc_argsort_req(ctx, &req, bufs);
-                break;
+        // dspqueue_write_early_wakeup_noblock(ctx->queue, 10, 0);
 
-            case HTP_OP_SSM_CONV:
-                if (n_bufs != 3) {
-                    FARF(ERROR, "Bad ssm-conv-req buffer list");
-                    continue;
-                }
-                proc_ssm_conv_req(ctx, &req, bufs);
-                break;
+        struct htp_opbatch_rsp rsp;
+        rsp.id        = req.id;
+        rsp.status    = HTP_STATUS_OK;
+        rsp.n_bufs    = n_bufs;
+        rsp.n_tensors = n_tens;
+        rsp.n_ops     = n_ops;
 
-            case HTP_OP_CUMSUM:
-                if (n_bufs != 2) {
-                    FARF(ERROR, "Bad cumsum-req buffer list");
-                    continue;
-                }
-                proc_cumsum_req(ctx, &req, bufs);
-                break;
+        dbuf.flags = DSPQUEUE_BUFFER_FLAG_FLUSH_SENDER | DSPQUEUE_BUFFER_FLAG_INVALIDATE_RECIPIENT;
 
-            default:
-                FARF(ERROR, "Unknown Op %u", req.op);
-                break;
+        err = dspqueue_write(queue, 0, 1, &dbuf, sizeof(rsp), (const uint8_t *) &rsp, DSPQUEUE_TIMEOUT_NONE);
+        if (err != 0) {
+            FARF(ERROR, "dspqueue_write failed: 0x%08x", (unsigned) err);
+            break;
         }
     }
+
+    vtcm_release(ctx);
 }
diff --git a/ggml/src/ggml-hexagon/htp/matmul-ops.c b/ggml/src/ggml-hexagon/htp/matmul-ops.c
index 24b7bad68..2461ae617 100644
--- a/ggml/src/ggml-hexagon/htp/matmul-ops.c
+++ b/ggml/src/ggml-hexagon/htp/matmul-ops.c
@@ -16,8 +16,9 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
 #include "htp-ops.h"
+#include "htp-ops.h"
+#include "hmx-ops.h"
 
 #define MM_SPAD_SRC0_NROWS 16
 #define MM_SPAD_SRC1_NROWS 16
@@ -1897,11 +1898,11 @@ static void vec_dot_f16_f32_uu_1x1(const int n, float * restrict s, const void *
     hvx_vec_store_u(&s[0], 4, rsum);
 }
 
-#define htp_matmul_tensors_preamble    \
-    struct htp_tensor * restrict src0    = &octx->src0;      \
-    struct htp_tensor * restrict src1    = &octx->src1;      \
-    struct htp_tensor * restrict src2    = &octx->src2;      \
-    struct htp_tensor * restrict dst     = &octx->dst;       \
+#define htp_matmul_tensors_preamble                          \
+    const struct htp_tensor * restrict src0 = octx->src[0];  \
+    const struct htp_tensor * restrict src1 = octx->src[1];  \
+    const struct htp_tensor * restrict src2 = octx->src[2];  \
+    const struct htp_tensor * restrict  dst = octx->dst;     \
     struct htp_spad * restrict src0_spad = &octx->src0_spad; \
     struct htp_spad * restrict src1_spad = &octx->src1_spad; \
     struct htp_spad * restrict dst_spad  = &octx->dst_spad;  \
@@ -2223,8 +2224,8 @@ struct mmid_row_mapping {
 static void matmul_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
-    struct htp_tensor * restrict     ids = &octx->src2;
-    struct htp_spad * restrict src2_spad = &octx->src2_spad;
+    const struct htp_tensor * restrict ids = octx->src[2];
+    struct htp_spad * restrict   src2_spad = &octx->src2_spad;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -2342,8 +2343,8 @@ static void matmul_id(unsigned int nth, unsigned int ith, void * data) {
 static void matvec_id(unsigned int nth, unsigned int ith, void * data) {
     htp_matmul_preamble;
 
-    struct htp_tensor * restrict     ids = &octx->src2;
-    struct htp_spad * restrict src2_spad = &octx->src2_spad;
+    const struct htp_tensor * restrict ids = octx->src[2];
+    struct htp_spad * restrict   src2_spad = &octx->src2_spad;
 
     uint64_t t1, t2;
     t1 = HAP_perf_get_qtimer_count();
@@ -2612,7 +2613,7 @@ static void quantize_f32_q8x4x2(unsigned int nth, unsigned int ith, void * data)
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     struct htp_spad * spad = &octx->src0_spad;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
@@ -2659,7 +2660,7 @@ static void quantize_f32_f16(unsigned int nth, unsigned int ith, void * data) {
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
     uint32_t dst_stride = octx->src1_spad.stride;
@@ -2701,7 +2702,7 @@ static void quantize_f16_f16(unsigned int nth, unsigned int ith, void * data) {
     struct htp_matmul_context * mmctx = data;
     struct htp_ops_context * octx = mmctx->octx;
 
-    const struct htp_tensor * src = &octx->src1;
+    const struct htp_tensor * src = octx->src[1];
     uint8_t * restrict dst = octx->src1_spad.data;
     uint32_t nrows_per_thread = mmctx->src1_nrows_per_thread;
     uint32_t dst_stride = octx->src1_spad.stride;
@@ -2800,7 +2801,7 @@ static void htp_mminit_spad(struct htp_ops_context * octx,
     octx->dst_spad.size  = octx->dst_spad.size_per_thread * octx->n_threads;
 }
 
-int op_matmul(struct htp_ops_context * octx) {
+static int op_matmul_hvx(struct htp_ops_context * octx) {
     htp_matmul_tensors_preamble;
 
     struct htp_matmul_context mmctx_struct = {0};
@@ -2824,7 +2825,7 @@ int op_matmul(struct htp_ops_context * octx) {
     worker_callback_t quant_job_func;
     worker_callback_t matmul_job_func = src1_nrows > 1 ? matmul_2d : matvec_2d;
 
-    bool need_quant = !(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE);
+    bool need_quant = true;
 
     if (src0->type == HTP_TYPE_F16) {
         // Try optimized f16-f16 path first (src1 in VTCM)
@@ -2838,7 +2839,7 @@ int op_matmul(struct htp_ops_context * octx) {
         // Default matmul implementation does not support multi-batch src0 (N-vs-N broadcasting).
         // It only supports 1-vs-N broadcasting (src0 is 2D) or standard 2D matmul.
         const bool is_batched  = (ne02 > 1) || (ne03 > 1);
-        const bool is_permuted = htp_is_permuted(&octx->src0) || htp_is_permuted(&octx->src1);
+        const bool is_permuted = htp_is_permuted(octx->src[0]) || htp_is_permuted(octx->src[1]);
 
         if (!is_batched && !is_permuted && f16_total_size <= octx->ctx->vtcm_size) {
             // Optimized path
@@ -2915,32 +2916,150 @@ int op_matmul(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    // Place src1 spad first. We use it for dyn.quant and may reuse between ops
+    octx->src1_spad.data = octx->ctx->vtcm_base;
+    octx->src0_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
+
+    octx->src1_spad.src  = (src1 == octx->src1_spad.src) ? src1 : NULL;
+    octx->src0_spad.src  = NULL;
+    octx->dst_spad.src   = NULL;
 
     octx->src0_spad.stride = src0_row_size_padded;
     octx->src1_spad.stride = src1_row_size;
 
-    if (need_quant) {
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)
+        return HTP_STATUS_OK;
+
+    if (need_quant && !octx->src1_spad.src) {
         const uint32_t n_quant_jobs  = MIN(src1_nrows, octx->n_threads);
         mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
         worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
-        // Cache where src1 was written so subsequent SKIP_QUANTIZE ops can find it
-        octx->ctx->prev_src1_spad = octx->src1_spad.data;
+        octx->src1_spad.src = src1;
+    }
+
+    const uint32_t n_matmul_jobs = octx->n_threads;
+    worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, mmctx, n_matmul_jobs);
+
+    return HTP_STATUS_OK;
+}
+
+int op_matmul(struct htp_ops_context * octx) {
+    htp_matmul_tensors_preamble;
+
+#ifndef HTP_HAS_HMX
+    return op_matmul_hvx(octx);
+#else
+    if (!octx->ctx->hmx_enabled) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX weight tile requires N to be 32-aligned.
+    if (src0->ne[1] % 32 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX supports F16, Q4_0, Q8_0, IQ4_NL, MXFP4 weights.
+    // Other types fall back to HVX.
+    uint32_t wtype = src0->type;
+    if (wtype != HTP_TYPE_F16 && wtype != HTP_TYPE_Q4_0 && wtype != HTP_TYPE_Q8_0 && wtype != HTP_TYPE_IQ4_NL && wtype != HTP_TYPE_MXFP4) {
+        return op_matmul_hvx(octx);
+    }
+
+    // Quantised HMX path requires K aligned to 256 (x4x2 super-block).
+    // F16 HMX path requires K aligned to 32 (tile width).
+    if (wtype != HTP_TYPE_F16 && src0->ne[0] % 256 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    if (wtype == HTP_TYPE_F16 && src0->ne[0] % 32 != 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    const bool is_batched = (src0->ne[2] * src0->ne[3] > 1 || src1->ne[2] * src1->ne[3] > 1);
+
+    // Quantised HMX kernels only handle flat 2D matmul (host already rejects
+    // batched quantised, but guard here too).  F16 batched matmul is handled
+    // by the dedicated wrapper in hmx-matmul-ops.c.
+    if (is_batched && src0->type != HTP_TYPE_F16) {
+        return op_matmul_hvx(octx);
+    }
+
+    // HMX assumes contiguous row-major layout.  Fall back for permuted
+    // tensors where strides are non-monotonic (e.g. transposed KV cache).
+    if (src0->nb[0] > src0->nb[1] || src1->nb[0] > src1->nb[1]) {
+        return op_matmul_hvx(octx);
+    }
+
+    // M alignment: Use HMX when M >= 32, the last partial tile (m_total % 32 rows)
+    //  is handled by HMX itself; when M < 32  fall back to HVX.
+    const int m_total = (int) src1->ne[1];
+    const int m_hmx   = m_total & ~31;   // 0 when M < 32
+
+    if (m_hmx == 0) {
+        return op_matmul_hvx(octx);
+    }
+
+    // Always re-quantize src1 since HMX kernel overwrites vtcm/spad,
+    // so any previously cached quantized data is invalid.
+    octx->src1_spad.src = NULL;
+
+    int k = (int) src0->ne[0];  // inner dimension
+    int n = (int) src0->ne[1];  // weight columns
+
+    int ret = -1;
+
+    // Row strides in elements. For compact tensors these equal k; for
+    // permuted attention views they can be larger, so pass the real stride.
+    const int act_stride = (int)(src1->nb[1] / sizeof(float));
+    const int wgt_stride = (int)(src0->nb[1] / sizeof(__fp16));
+
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    if (src0->type == HTP_TYPE_F16) {
+        if (is_batched) {
+            hmx_matmul_w16a32_batched_params_t batch_params = {
+                .dst             = (float *) dst->data,
+                .activation      = (float *) src1->data,
+                .permuted_weight = (const __fp16 *) src0->data,
+                .m               = m_total,
+                .k               = k,
+                .n               = n,
+                .act_stride      = act_stride,
+                .weight_stride   = wgt_stride,
+                .dst_stride      = (int) (dst->nb[1] / sizeof(float)),
+                .ne02            = ne02,
+                .ne03            = ne03,
+                .ne12            = ne12,
+                .ne13            = ne13,
+                .src0_nb2        = src0->nb[2],
+                .src0_nb3        = src0->nb[3],
+                .src1_nb2        = src1->nb[2],
+                .src1_nb3        = src1->nb[3],
+                .dst_nb2         = dst->nb[2],
+                .dst_nb3         = dst->nb[3],
+            };
+            ret = hmx_mat_mul_permuted_w16a32_batched(octx->ctx, &batch_params);
+        } else {
+            ret = hmx_mat_mul_permuted_w16a32(octx->ctx,
+                    (float*) dst->data, (float*) src1->data, (const __fp16 *) src0->data,
+                    m_total, k, n, act_stride, wgt_stride);
+        }
     } else {
-        // SKIP_QUANTIZE: Q8 data lives at the address written by the previous
-        // quantize pass.  The current op may have a different src0 size (e.g.
-        // IQ4_NL vs MXFP4), so src1_spad.data computed above could be wrong.
-        octx->src1_spad.data = octx->ctx->prev_src1_spad;
+        ret = hmx_mat_mul_permuted_qk_0_d16a32(octx->ctx,
+                    (float*) dst->data, (float*) src1->data, (const uint8_t *) src0->data,
+                    m_total, k, n, (int) src0->type);
     }
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_job_func, mmctx, n_matmul_jobs);
+    if (ret != 0) {
+        FARF(HIGH, "HMX matmul failed (ret=%d), falling back to HVX", ret);
+        return op_matmul(octx);
     }
 
-    return HTP_STATUS_OK;
+    return 0;
+#endif // HTP_HAS_HMX
 }
 
 int op_matmul_id(struct htp_ops_context * octx) {
@@ -2950,7 +3069,7 @@ int op_matmul_id(struct htp_ops_context * octx) {
     struct htp_matmul_context * mmctx = &mmctx_struct;
     mmctx->octx = octx;
 
-    struct htp_tensor * restrict ids = &octx->src2;
+    const struct htp_tensor * restrict ids = octx->src[2];
 
     const size_t src0_row_size = nb01;
     const size_t dst_row_size  = nb1;
@@ -3003,11 +3122,17 @@ int op_matmul_id(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->src2_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    // Place src1 spad first. We use it for dyn.quant and may reuse in subseq ops.
+    octx->src1_spad.data = octx->ctx->vtcm_base;
+    octx->src0_spad.data = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src2_spad.data = octx->src0_spad.data + octx->src0_spad.size;
     octx->dst_spad.data  = octx->src2_spad.data + octx->src2_spad.size;
 
+    octx->src1_spad.src  = (src1 == octx->src1_spad.src) ? src1 : NULL;
+    octx->src0_spad.src  = NULL;
+    octx->src2_spad.src  = NULL;
+    octx->dst_spad.src   = NULL;
+
     octx->src0_spad.stride = src0_row_size_padded;
     octx->src1_spad.stride = src1_row_size;
 
@@ -3031,20 +3156,18 @@ int op_matmul_id(struct htp_ops_context * octx) {
         }
     }
 
-    // Setup worker pool callbacks
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_QUANTIZE)) {
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)
+        return HTP_STATUS_OK;
+
+    if (octx->src1_spad.src != src1) {
         const uint32_t n_quant_jobs = MIN(src1_nrows, octx->n_threads);
         mmctx->src1_nrows_per_thread = (src1_nrows + n_quant_jobs - 1) / n_quant_jobs;
         worker_pool_run_func(octx->ctx->worker_pool, quant_job_func, mmctx, n_quant_jobs);
-        octx->ctx->prev_src1_spad = octx->src1_spad.data;
-    } else {
-        octx->src1_spad.data = octx->ctx->prev_src1_spad;
+        octx->src1_spad.src = src1;
     }
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        const uint32_t n_matmul_jobs = octx->n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, mmctx, n_matmul_jobs);
-    }
+    const uint32_t n_matmul_jobs = octx->n_threads;
+    worker_pool_run_func(octx->ctx->worker_pool, matmul_id_job_func, mmctx, n_matmul_jobs);
 
     return HTP_STATUS_OK;
 }
diff --git a/ggml/src/ggml-hexagon/htp/repeat-ops.c b/ggml/src/ggml-hexagon/htp/repeat-ops.c
index 5db06c920..a6f2f0ed5 100644
--- a/ggml/src/ggml-hexagon/htp/repeat-ops.c
+++ b/ggml/src/ggml-hexagon/htp/repeat-ops.c
@@ -12,7 +12,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 struct htp_repeat_context {
@@ -32,8 +32,8 @@ struct htp_repeat_context {
 static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * data) {
     const struct htp_repeat_context * rctx = (const struct htp_repeat_context *) data;
     struct htp_ops_context * octx = rctx->octx;
-    const struct htp_tensor * src = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     const uint32_t ne00 = src->ne[0];
     const uint32_t ne01 = src->ne[1];
@@ -98,8 +98,8 @@ static void repeat_job_per_thread(unsigned int nth, unsigned int ith, void * dat
 }
 
 int op_repeat(struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
 
     // Validate that dst dims are multiples of src dims
     if (dst->ne[0] % src0->ne[0] != 0 ||
diff --git a/ggml/src/ggml-hexagon/htp/rope-ops.c b/ggml/src/ggml-hexagon/htp/rope-ops.c
index ecedadb0f..1d8b0796b 100644
--- a/ggml/src/ggml-hexagon/htp/rope-ops.c
+++ b/ggml/src/ggml-hexagon/htp/rope-ops.c
@@ -15,7 +15,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 // Redefined the types GGML_ROPE_TYPE_NORMAL & GGML_ROPE_TYPE_NEOX as we can't include ggml.h
@@ -253,10 +253,10 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
     struct htp_rope_context * rctx = (struct htp_rope_context *) data;
     struct htp_ops_context * octx = rctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     htp_rope_preamble;
 
@@ -284,7 +284,7 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
 
     dma_queue * dma_queue = octx->ctx->dma[ith];
     const int32_t * pos = (const int32_t *) src1->data;
-    const float * freq_factors = src2->data ? (const float *) src2->data : NULL;
+    const float * freq_factors = src2 ? (const float *) src2->data : NULL;
 
     uint32_t ir = 0;
     uint32_t prev_i2 = (uint32_t) -1;
@@ -384,10 +384,10 @@ static void rope_job_f32(unsigned int nth, unsigned int ith, void * data) {
 static int execute_op_rope_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    const struct htp_tensor * src2 = &octx->src2;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * src2 = octx->src[2];
+    const struct htp_tensor * dst  = octx->dst;
 
     const char * op_type = "rope-f32";
 
@@ -424,19 +424,16 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    // Assign sizes
     octx->src0_spad.size_per_thread = src0_spad_per_thread;
     octx->dst_spad.size_per_thread  = dst_spad_per_thread;
     octx->src0_spad.size = n_threads * src0_spad_per_thread;
     octx->dst_spad.size  = n_threads * dst_spad_per_thread;
     octx->src1_spad.size = 0;
 
-    // Assign pointers
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = NULL;
-    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = NULL;                                        octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src0_spad.data + octx->src0_spad.size; octx->dst_spad.src  = NULL;
 
-    // Fill context
     struct htp_rope_context rctx;
     memset(&rctx, 0, sizeof(struct htp_rope_context));
 
@@ -483,7 +480,7 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
 int op_rope(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_rope_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/set-rows-ops.c b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
index 4b6967749..0def7b408 100644
--- a/ggml/src/ggml-hexagon/htp/set-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/set-rows-ops.c
@@ -14,33 +14,37 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define set_rows_preamble \
-    const uint32_t ne00 = octx->src0.ne[0]; \
-    const uint32_t ne01 = octx->src0.ne[1]; \
-    const uint32_t ne02 = octx->src0.ne[2]; \
-    const uint32_t ne03 = octx->src0.ne[3]; \
-                                            \
-    const uint32_t ne10 = octx->src1.ne[0]; \
-    const uint32_t ne11 = octx->src1.ne[1]; \
-    const uint32_t ne12 = octx->src1.ne[2]; \
-                                            \
-    const uint32_t nb01 = octx->src0.nb[1]; \
-    const uint32_t nb02 = octx->src0.nb[2]; \
-    const uint32_t nb03 = octx->src0.nb[3]; \
-                                            \
-    const uint32_t nb10 = octx->src1.nb[0]; \
-    const uint32_t nb11 = octx->src1.nb[1]; \
-    const uint32_t nb12 = octx->src1.nb[2]; \
-                                            \
-    const uint32_t nb1 = octx->dst.nb[1];   \
-    const uint32_t nb2 = octx->dst.nb[2];   \
-    const uint32_t nb3 = octx->dst.nb[3];   \
-                                            \
-    const uint32_t ne1 = octx->dst.ne[1];   \
-                                            \
+#define set_rows_preamble                      \
+    const uint32_t ne00 = octx->src[0]->ne[0]; \
+    const uint32_t ne01 = octx->src[0]->ne[1]; \
+    const uint32_t ne02 = octx->src[0]->ne[2]; \
+    const uint32_t ne03 = octx->src[0]->ne[3]; \
+                                               \
+    const uint32_t ne10 = octx->src[1]->ne[0]; \
+    const uint32_t ne11 = octx->src[1]->ne[1]; \
+    const uint32_t ne12 = octx->src[1]->ne[2]; \
+    const uint32_t ne13 = octx->src[1]->ne[3]; \
+                                               \
+    const uint32_t nb01 = octx->src[0]->nb[1]; \
+    const uint32_t nb02 = octx->src[0]->nb[2]; \
+    const uint32_t nb03 = octx->src[0]->nb[3]; \
+                                               \
+    const uint32_t nb10 = octx->src[1]->nb[0]; \
+    const uint32_t nb11 = octx->src[1]->nb[1]; \
+    const uint32_t nb12 = octx->src[1]->nb[2]; \
+                                               \
+    const uint32_t nb1 = octx->dst->nb[1];     \
+    const uint32_t nb2 = octx->dst->nb[2];     \
+    const uint32_t nb3 = octx->dst->nb[3];     \
+                                               \
+    const uint32_t ne0 = octx->dst->ne[0];     \
+    const uint32_t ne1 = octx->dst->ne[1];     \
+    const uint32_t ne2 = octx->dst->ne[2];     \
+    const uint32_t ne3 = octx->dst->ne[3];     \
+                                               \
     const uint32_t nr  = ne01;
 
 struct htp_set_rows_context {
@@ -56,12 +60,14 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
 
     set_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by rows of src0
     const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
@@ -70,7 +76,7 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
                 const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
-                const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+                const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
                 uint32_t i1 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
                 if (i1 >= ne1) {
@@ -78,14 +84,18 @@ static void set_rows_thread_f32_f32(unsigned int nth, unsigned int ith, void *da
                     continue;
                 }
 
-                const uintptr_t src0_ptr = octx->src0.data + i*nb01 + i02*nb02 + i03*nb03;
-                const uintptr_t dst_ptr  = octx->dst.data  + i1*nb1 + i02*nb2  + i03*nb3;
+                const uintptr_t src0_ptr = octx->src[0]->data + i*nb01 + i02*nb02 + i03*nb03;
+                const uintptr_t dst_ptr  = octx->dst->data  + i1*nb1 + i02*nb2  + i03*nb3;
 
                 // copy row
                 hvx_copy_f32_uu((uint8_t *)dst_ptr, (const uint8_t *)src0_ptr, ne00);
             }
         }
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "set-rows-f32-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *data) {
@@ -94,12 +104,14 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
 
     set_rows_preamble;
 
+    uint64_t qt = HAP_perf_get_qtimer_count();
+
     // parallelize by rows of src0
     const uint32_t dr  = srctx->src0_nrows_per_thread;
     const uint32_t ir0 = dr * ith;
     const uint32_t ir1 = (ir0 + dr < nr) ? (ir0 + dr) : nr;
 
-    const bool is_i32 = (octx->src1.type == HTP_TYPE_I32);
+    const bool is_i32 = (octx->src[1]->type == HTP_TYPE_I32);
 
     for (uint32_t i03 = 0; i03 < ne03; ++i03) {
         for (uint32_t i02 = 0; i02 < ne02; ++i02) {
@@ -108,7 +120,7 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
                 const uint32_t i11 = fastmodulo(i02, ne11, &srctx->div_ne11);
                 const uint32_t i10 = i;
 
-                const uintptr_t src1_addr = octx->src1.data + i10*nb10 + i11*nb11 + i12*nb12;
+                const uintptr_t src1_addr = octx->src[1]->data + i10*nb10 + i11*nb11 + i12*nb12;
 
                 uint32_t i1 = is_i32 ? *(int32_t *)src1_addr : *(int64_t *)src1_addr;
                 if (i1 >= ne1) {
@@ -116,13 +128,17 @@ static void set_rows_thread_f16_f32(unsigned int nth, unsigned int ith, void *da
                     continue;
                 }
 
-                const uint8_t* src0_ptr = (const uint8_t *) octx->src0.data + i*nb01 + i02*nb02 + i03*nb03;
-                uint8_t*       dst_ptr  = (uint8_t *)       octx->dst.data  + i1*nb1 + i02*nb2  + i03*nb3;
+                const uint8_t* src0_ptr = (const uint8_t *) octx->src[0]->data + i*nb01 + i02*nb02 + i03*nb03;
+                uint8_t*       dst_ptr  = (uint8_t *)       octx->dst->data  + i1*nb1 + i02*nb2  + i03*nb3;
 
                 hvx_copy_f16_f32_uu(dst_ptr, src0_ptr, ne00);
             }
         }
     }
+
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "set-rows-f16-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, ir0, ir1, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, (unsigned) qt);
 }
 
 int op_set_rows(struct htp_ops_context * octx) {
@@ -130,15 +146,15 @@ int op_set_rows(struct htp_ops_context * octx) {
 
     const uint32_t n_threads = MIN(nr, octx->n_threads);
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->dst.type != HTP_TYPE_F32 && octx->dst.type != HTP_TYPE_F16) {
+    if (octx->dst->type != HTP_TYPE_F32 && octx->dst->type != HTP_TYPE_F16) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
-    if (octx->src1.type != HTP_TYPE_I32 && octx->src1.type != HTP_TYPE_I64) {
+    if (octx->src[1]->type != HTP_TYPE_I32 && octx->src[1]->type != HTP_TYPE_I64) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
@@ -153,7 +169,7 @@ int op_set_rows(struct htp_ops_context * octx) {
 
     srctx.src0_nrows_per_thread = (nr + n_threads - 1) / n_threads;
 
-    switch(octx->dst.type) {
+    switch(octx->dst->type) {
     case HTP_TYPE_F32:
         worker_pool_run_func(octx->ctx->worker_pool, set_rows_thread_f32_f32, &srctx, n_threads);
         break;
diff --git a/ggml/src/ggml-hexagon/htp/softmax-ops.c b/ggml/src/ggml-hexagon/htp/softmax-ops.c
index d6356b950..d78bcc0eb 100644
--- a/ggml/src/ggml-hexagon/htp/softmax-ops.c
+++ b/ggml/src/ggml-hexagon/htp/softmax-ops.c
@@ -15,68 +15,89 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define htp_softmax_preamble3                              \
-    const uint32_t ne00 = src0->ne[0];                     \
-    const uint32_t ne01 = src0->ne[1];                     \
-    const uint32_t ne02 = src0->ne[2];                     \
-    const uint32_t ne03 = src0->ne[3];                     \
-                                                           \
-    const uint32_t nb00 = src0->nb[0];                     \
-    const uint32_t nb01 = src0->nb[1];                     \
-    const uint32_t nb02 = src0->nb[2];                     \
-    const uint32_t nb03 = src0->nb[3];                     \
-                                                           \
-    const uint32_t ne10 = (src1->ne[0]) ? src1->ne[0] : 1; \
-    const uint32_t ne11 = (src1->ne[0]) ? src1->ne[1] : 1; \
-    const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1; \
-    const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1; \
-                                                           \
-    const uint32_t nb10 = (src1->ne[0]) ? src1->nb[0] : 1; \
-    const uint32_t nb11 = (src1->ne[0]) ? src1->nb[1] : 1; \
-    const uint32_t nb12 = (src1->ne[0]) ? src1->nb[2] : 1; \
-    const uint32_t nb13 = (src1->ne[0]) ? src1->nb[3] : 1; \
-                                                           \
-    const uint32_t ne0 = dst->ne[0];                       \
-    const uint32_t ne1 = dst->ne[1];                       \
-    const uint32_t ne2 = dst->ne[2];                       \
-    const uint32_t ne3 = dst->ne[3];                       \
-                                                           \
-    const uint32_t nb0 = dst->nb[0];                       \
-    const uint32_t nb1 = dst->nb[1];                       \
-    const uint32_t nb2 = dst->nb[2];                       \
+#define htp_softmax_preamble3                     \
+    const uint32_t ne00 = src0->ne[0];            \
+    const uint32_t ne01 = src0->ne[1];            \
+    const uint32_t ne02 = src0->ne[2];            \
+    const uint32_t ne03 = src0->ne[3];            \
+                                                  \
+    const uint32_t nb00 = src0->nb[0];            \
+    const uint32_t nb01 = src0->nb[1];            \
+    const uint32_t nb02 = src0->nb[2];            \
+    const uint32_t nb03 = src0->nb[3];            \
+                                                  \
+    const uint32_t ne10 = src1 ? src1->ne[0] : 1; \
+    const uint32_t ne11 = src1 ? src1->ne[1] : 1; \
+    const uint32_t ne12 = src1 ? src1->ne[2] : 1; \
+    const uint32_t ne13 = src1 ? src1->ne[3] : 1; \
+                                                  \
+    const uint32_t nb10 = src1 ? src1->nb[0] : 1; \
+    const uint32_t nb11 = src1 ? src1->nb[1] : 1; \
+    const uint32_t nb12 = src1 ? src1->nb[2] : 1; \
+    const uint32_t nb13 = src1 ? src1->nb[3] : 1; \
+                                                  \
+    const uint32_t ne0 = dst->ne[0];              \
+    const uint32_t ne1 = dst->ne[1];              \
+    const uint32_t ne2 = dst->ne[2];              \
+    const uint32_t ne3 = dst->ne[3];              \
+                                                  \
+    const uint32_t nb0 = dst->nb[0];              \
+    const uint32_t nb1 = dst->nb[1];              \
+    const uint32_t nb2 = dst->nb[2];              \
     const uint32_t nb3 = dst->nb[3];
 
 struct htp_softmax_context {
+    struct htp_ops_context * octx;
+
     bool     use_f16;
     bool     use_src1;
+
     uint32_t n_head;
     uint32_t n_head_log2;
 
-    float scale;
-    float max_bias;
-    float m0;
-    float m1;
+    float    scale;
+    float    max_bias;
+    float    m0;
+    float    m1;
 
-    uint32_t src0_nrows_per_thread;
     struct fastdiv_values fastdiv_ne01;
     struct fastdiv_values fastdiv_ne02;
     struct fastdiv_values fastdiv_ne12; // For mask broadcasting
     struct fastdiv_values fastdiv_ne13; // For mask broadcasting
-    size_t spad_stride;
 
-    struct htp_ops_context * octx;
+    uint32_t src0_nrows_per_thread;
 };
 
+static void apply_mask(float * restrict wp0,
+                       const float * restrict mp_f32,
+                       const __fp16 * restrict mp_f16,
+                       uint32_t ne00,
+                       float slope,
+                       bool use_f16) {
+    if (!mp_f32) {
+        return;
+    }
+    if (use_f16) {
+        for (uint32_t i = 0; i < ne00; ++i) {
+            wp0[i] += slope * (float) mp_f16[i];
+        }
+    } else {
+        for (uint32_t i = 0; i < ne00; ++i) {
+            wp0[i] += slope * mp_f32[i];
+        }
+    }
+}
+
 static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_context * octx) {
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
 
     memset(smctx, 0, sizeof(struct htp_softmax_context));
 
-    memcpy(&smctx->scale, (float *) octx->op_params, sizeof(float));
+    memcpy(&smctx->scale,    (float *) octx->op_params,     sizeof(float));
     memcpy(&smctx->max_bias, (float *) octx->op_params + 1, sizeof(float));
 
     smctx->n_head      = src0->ne[2];
@@ -85,8 +106,8 @@ static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_
     smctx->m0 = powf(2.0f, -(smctx->max_bias) / smctx->n_head_log2);
     smctx->m1 = powf(2.0f, -(smctx->max_bias / 2.0f) / smctx->n_head_log2);
 
-    smctx->use_src1 = (src1->ne[0] != 0);
-    smctx->use_f16  = (src1->ne[0] != 0) && (src1->type == HTP_TYPE_F16);
+    smctx->use_src1 = (src1 != 0);
+    smctx->use_f16  = (src1 != 0) && (src1->type == HTP_TYPE_F16);
 
     smctx->octx = octx;
 
@@ -97,8 +118,8 @@ static void init_softmax_ctx(struct htp_softmax_context * smctx, struct htp_ops_
     if (ne01 > 0) smctx->fastdiv_ne01 = init_fastdiv_values(ne01);
     if (ne02 > 0) smctx->fastdiv_ne02 = init_fastdiv_values(ne02);
 
-    const uint32_t ne12 = (src1->ne[0]) ? src1->ne[2] : 1;
-    const uint32_t ne13 = (src1->ne[0]) ? src1->ne[3] : 1;
+    const uint32_t ne12 = src1 ? src1->ne[2] : 1;
+    const uint32_t ne13 = src1 ? src1->ne[3] : 1;
 
     if (ne12 > 0) smctx->fastdiv_ne12 = init_fastdiv_values(ne12);
     if (ne13 > 0) smctx->fastdiv_ne13 = init_fastdiv_values(ne13);
@@ -139,10 +160,7 @@ static void hvx_fast_softmax_prep_f32(const uint8_t * restrict src,
     }
 }
 
-static void hvx_fast_softmax_f32(const uint8_t * restrict src,
-                                 uint8_t * restrict dst,
-                                 uint8_t * restrict pad,
-                                 const int num_elems) {
+static void hvx_fast_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict pad, const int num_elems) {
     const HVX_Vector * restrict v_src = (HVX_Vector *) src;
     HVX_Vector * restrict v_pad       = (HVX_Vector *) pad;
     HVX_Vector * restrict v_dst       = (HVX_Vector *) dst;
@@ -188,27 +206,20 @@ static void hvx_fast_softmax_f32(const uint8_t * restrict src,
     }
 }
 
-static float hvx_softmax_f32(const uint8_t * restrict src,
-                             uint8_t * restrict dst,
-                             uint8_t * restrict spad,
-                             const int   num_elems,
-                             const float max) {
+static float hvx_softmax_f32(const uint8_t * restrict src, uint8_t * restrict dst, uint8_t * restrict spad, const int  num_elems, const float max) {
     hvx_sub_scalar_f32(spad, src, max, num_elems);
 
     hvx_exp_f32(dst, spad, num_elems, false);
-
-    float sum = hvx_reduce_sum_f32(dst, num_elems);
-
-    return sum;
+    return hvx_reduce_sum_f32(dst, num_elems);
 }
 
 static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
     struct htp_softmax_context * smctx = (struct htp_softmax_context *) data;
     struct htp_ops_context * octx = smctx->octx;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     htp_softmax_preamble3;
 
@@ -223,22 +234,26 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         return;
     }
 
-    uint64_t t1, t2;
-    t1 = HAP_perf_get_qtimer_count();
+    uint64_t qt = HAP_perf_get_qtimer_count();
 
     int is_aligned = 1;
     int opt_path   = 0;
+
     if (!hex_is_aligned((void *) src0->data, VLEN) || !hex_is_aligned((void *) dst->data, VLEN)) {
         is_aligned = 0;
         FARF(HIGH, "softmax-f32: unaligned addresses in elementwise op, possibly slower execution\n");
     }
+
+    // Only use the fast path when aligned AND row size is multiple of VLEN (128 bytes)
+    // The fast path (hvx_fast_softmax_f32) doesn't handle tail elements
+    // The non-opt path uses hvx_softmax_f32 which properly handles all sizes via its helper functions
     if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
         opt_path = 1;
     }
 
-    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * smctx->spad_stride);
-    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * smctx->spad_stride);
-    uint8_t * dst_spad_data  = octx->dst_spad.data + (ith * smctx->spad_stride);
+    uint8_t * src0_spad_data = octx->src0_spad.data + (ith * octx->src0_spad.size_per_thread);
+    uint8_t * src1_spad_data = octx->src1_spad.data + (ith * octx->src1_spad.size_per_thread);
+    uint8_t * dst_spad_data  = octx->dst_spad.data  + (ith * octx->dst_spad.size_per_thread);
 
     float * wp0 = (float *) src0_spad_data;
     float * wp1 = (float *) src1_spad_data;
@@ -278,47 +293,29 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         // ALiBi
         if (i2 != prev_i2) {
             const uint32_t h = i2;  // head
-
-            slope = (smctx->max_bias > 0.0f) ?
-                        h < smctx->n_head_log2 ?
-                        powf(smctx->m0, h + 1) :
-                        powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) :
-                        1.0f;
+            slope = (smctx->max_bias > 0.0f) ? h < smctx->n_head_log2 ? powf(smctx->m0, h + 1) : powf(smctx->m1, 2 * (h - smctx->n_head_log2) + 1) : 1.0f;
             prev_i2 = i2;
         }
 
-        float * sp = (float *) ((char *) octx->src0.data + i1 * nb01 + i2 * nb02 + i3 * nb03);
-        float * dp = (float *) ((char *) octx->dst.data + i1 * nb1 + i2 * nb2 + i3 * nb3);
+        float * sp = (float *) ((char *) src0->data + i1 * nb01 + i2 * nb02 + i3 * nb03);
+        float * dp = (float *) ((char *) dst->data  + i1 * nb1  + i2 * nb2  + i3 * nb3);
 
         // broadcast the mask across rows
-        __fp16 * mp_f16 = (smctx->use_src1) ?
-                              (__fp16 *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                              NULL;
-        float *  mp_f32 = (smctx->use_src1) ?
-                              (float *) ((char *) octx->src1.data + i11 * nb11 + i12 * nb12 + i13 * nb13) :
-                              NULL;
+        __fp16 * mp_f16 = (smctx->use_src1) ? (__fp16 *) ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
+        float *  mp_f32 = (smctx->use_src1) ? (float *)  ((char *) src1->data + i11 * nb11 + i12 * nb12 + i13 * nb13) : NULL;
 
         if ((1 == opt_path) && (mp_f32) && !(smctx->use_f16)) {
-            hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale,
-                                      (const uint8_t *) mp_f32, slope);
-        } else {
+            hvx_fast_softmax_prep_f32((const uint8_t *) sp, (uint8_t *) wp0, ne00, smctx->scale, (const uint8_t *) mp_f32, slope);
+            hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
+        } else if (1 == opt_path) {
             hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
-            if (mp_f32) {
-                if (smctx->use_f16) {
-                    for (int i = 0; i < ne00; ++i) {
-                        wp0[i] += slope * (float) mp_f16[i];
-                    }
-                } else {
-                    for (int i = 0; i < ne00; ++i) {
-                        wp0[i] += slope * mp_f32[i];
-                    }
-                }
-            }
-        }
-
-        if (1 == opt_path) {
+            apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
             hvx_fast_softmax_f32((const uint8_t *) wp0, (uint8_t *) dp, (uint8_t *) wp1, ne00);
         } else {
+            // Non-optimized path: uses HVX helper functions that properly handle all tensor sizes
+            // including non-multiples of 32 (the HVX vector lane count for f32)
+            hvx_scale_f32((uint8_t *) wp0, (const uint8_t *) sp, ne00, smctx->scale);
+            apply_mask(wp0, mp_f32, mp_f16, ne00, slope, smctx->use_f16);
             float max = hvx_reduce_max_f32((const uint8_t *) wp0, ne00);
             float sum = hvx_softmax_f32((const uint8_t *) wp0, (uint8_t *) wp2, (uint8_t *) wp1, ne00, max);
             sum       = sum > 0.0 ? (1.0 / sum) : 1;
@@ -326,54 +323,47 @@ static void softmax_job_f32(unsigned int nth, unsigned int ith, void * data) {
         }
     }
 
-    t2 = HAP_perf_get_qtimer_count();
-
-    FARF(HIGH, "softmax-f32 %d/%d/%d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u usec %u\n", ith, nth,
-         smctx->use_f16, opt_path, ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
-         ne0, ne1, ne2, ne3, (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+    qt = HAP_perf_qtimer_count_to_us(HAP_perf_get_qtimer_count() - qt);
+    FARF(HIGH, "softmax-f32 %d/%d: %ux%ux%ux%u (%u:%u) x %ux%ux%ux%u -> %ux%ux%ux%u : opt %u f16 %u usec %u\n", ith, nth,
+         ne00, ne01, ne02, ne03, src0_start_row, src0_end_row, ne10, ne11, ne12, ne13,
+         ne0, ne1, ne2, ne3, opt_path, smctx->use_f16, (unsigned) qt);
 }
 
 static int execute_op_softmax_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    const struct htp_tensor * src1 = &octx->src1;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * src1 = octx->src[1];
+    const struct htp_tensor * dst  = octx->dst;
 
     struct htp_softmax_context smctx;
     const char * op_type = "softmax-f32";
 
-    switch (octx->op) {
-        case HTP_OP_SOFTMAX:
-            init_softmax_ctx(&smctx, octx);
-            break;
-
-        default:
-            FARF(ERROR, "Unsupported Op %u\n", octx->op);
-            return HTP_STATUS_NO_SUPPORT;
-    }
+    init_softmax_ctx(&smctx, octx);
 
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
+    smctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
+
     const size_t src0_row_size = src0->nb[1];
     const size_t src1_row_size = src0_row_size;
     const size_t dst_row_size  = dst->nb[1];
 
     // VTCM scratchpads for all tensors
-    // N rows per thread, padded to HVX vector size
-    octx->dst_spad.size  = hex_round_up(dst_row_size, 128) * n_threads;
-    octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
-    octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads;
+    // 4 rows per thread, padded to HVX vector size
+    octx->src0_spad.size_per_thread = hex_round_up(4 * src0_row_size, 128);
+    octx->src1_spad.size_per_thread = hex_round_up(4 * src1_row_size, 128);
+    octx->dst_spad.size_per_thread  = hex_round_up(4 * dst_row_size, 128);
 
-    // Use stride for calculating offset
-    smctx.spad_stride = hex_round_up(src0_row_size, 128);
+    octx->src0_spad.size = octx->src0_spad.size_per_thread * n_threads;
+    octx->src1_spad.size = octx->src1_spad.size_per_thread * n_threads;
+    octx->dst_spad.size  = octx->dst_spad.size_per_thread  * n_threads;
 
     size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
 
-    if (src1->ne[0]) {
-        FARF(HIGH,
-             "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
+    if (src1) {
+        FARF(HIGH, "%s: %ux%ux%ux%u x %ux%ux%ux%u -> %ux%ux%ux%u : src0-spad-size %u src1-spad-size %u dst-spad-size %u\n",
              op_type, src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3], src1->ne[0], src1->ne[1], src1->ne[2],
              src1->ne[3], dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], octx->src0_spad.size, octx->src1_spad.size,
              octx->dst_spad.size);
@@ -385,19 +375,17 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
 
     // Make sure the reserved vtcm size is sufficient
     if (octx->ctx->vtcm_size < spad_size) {
-        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size,
-             spad_size);
+        FARF(ERROR, "%s : current VTCM reservation %zu is too small, needed %zu\n", op_type, octx->ctx->vtcm_size, spad_size);
         return HTP_STATUS_VTCM_TOO_SMALL;
     }
 
-    octx->src0_spad.data = octx->ctx->vtcm_base;
-    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+    octx->src0_spad.data = octx->ctx->vtcm_base;                        octx->src0_spad.src = NULL;
+    octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+    octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
-    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
-        smctx.src0_nrows_per_thread = (src0_nrows + n_threads - 1) / n_threads;
-        worker_pool_run_func(octx->ctx->worker_pool, softmax_job_f32, &smctx, n_threads);
-    }
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) return err;
+
+    worker_pool_run_func(octx->ctx->worker_pool, softmax_job_f32, &smctx, n_threads);
 
     return err;
 }
@@ -405,7 +393,7 @@ static int execute_op_softmax_f32(struct htp_ops_context * octx) {
 int op_softmax(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_softmax_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/solve-tri-ops.c b/ggml/src/ggml-hexagon/htp/solve-tri-ops.c
new file mode 100644
index 000000000..ae8e1a504
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/solve-tri-ops.c
@@ -0,0 +1,267 @@
+#pragma clang diagnostic ignored "-Wunused-but-set-variable"
+
+#include <HAP_farf.h>
+#include <HAP_perf.h>
+#include <string.h>
+
+#define GGML_COMMON_DECL_C
+#include "ggml-common.h"
+#include "htp-ctx.h"
+#include "htp-ops.h"
+#include "hvx-types.h"
+#include "hvx-utils.h"
+
+struct htp_solve_tri_context {
+    struct htp_ops_context * octx;
+    uint32_t                 jobs_per_thread;
+    uint32_t                 total_jobs;
+    uint32_t                 k_chunks;
+    uint32_t                 col_block;
+};
+
+static inline void solve_tri_row_scalar(const float * A_row,
+                                        const float * B_row,
+                                        float *       X,
+                                        uint32_t      row,
+                                        uint32_t      k,
+                                        uint32_t      col0,
+                                        uint32_t      coln,
+                                        float         inv_diag) {
+    for (uint32_t col = col0; col < col0 + coln; ++col) {
+        float sum = 0.0f;
+        for (uint32_t t = 0; t < row; ++t) {
+            sum += A_row[t] * X[t * k + col];
+        }
+        X[row * k + col] = (B_row[col] - sum) * inv_diag;
+    }
+}
+
+static inline HVX_Vector hvx_load_partial_f32(const float * src, uint32_t n) {
+    HVX_Vector v = *((const HVX_UVector *) src);
+    HVX_VectorPred mask = Q6_Q_vsetq2_R(n * sizeof(float));
+    return Q6_V_vmux_QVV(mask, v, Q6_V_vzero());
+}
+
+static inline void solve_tri_row_hvx(const float * A_row,
+                                     const float * B_row,
+                                     float *       X,
+                                     uint32_t      row,
+                                     uint32_t      k,
+                                     uint32_t      col0,
+                                     uint32_t      coln,
+                                     float         inv_diag) {
+    const bool full = (coln == VLEN_FP32);
+
+    HVX_Vector sum_v = Q6_V_vzero();
+    for (uint32_t t = 0; t < row; ++t) {
+        const float   a         = A_row[t];
+        const float * x_row_col = X + t * k + col0;
+
+        HVX_Vector x_v = full ? *((const HVX_UVector *) x_row_col) : hvx_load_partial_f32(x_row_col, coln);
+        HVX_Vector a_v = hvx_vec_splat_f32(a);
+        sum_v          = hvx_vec_add_f32_f32(sum_v, hvx_vec_mul_f32_f32(x_v, a_v));
+    }
+
+    const float * b_row_col = B_row + col0;
+    float *       x_out_col = X + row * k + col0;
+
+    HVX_Vector b_v        = full ? *((const HVX_UVector *) b_row_col) : hvx_load_partial_f32(b_row_col, coln);
+    HVX_Vector inv_diag_v = hvx_vec_splat_f32(inv_diag);
+
+    HVX_Vector out_v = hvx_vec_mul_f32_f32(hvx_vec_sub_f32_f32(b_v, sum_v), inv_diag_v);
+    hvx_vec_store_u((void *) x_out_col, coln * sizeof(float), out_v);
+}
+
+// Batch-level thread: each job is one full batch.
+static void solve_tri_batch_thread_f32(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_solve_tri_context * sctx = (struct htp_solve_tri_context *) data;
+    struct htp_ops_context *       octx = sctx->octx;
+
+    const struct htp_tensor * src0 = octx->src[0];  // A
+    const struct htp_tensor * src1 = octx->src[1];  // B
+    const struct htp_tensor * dst  = octx->dst;     // X
+
+    const uint32_t n = src0->ne[0];
+    const uint32_t k = src1->ne[0];
+
+    const uint32_t ne02 = src0->ne[2];
+
+    const uint32_t col_block = VLEN_FP32;
+    const uint32_t k_full    = (k / col_block) * col_block;
+
+    const uint32_t start_batch = sctx->jobs_per_thread * ith;
+    const uint32_t end_batch   = MIN(start_batch + sctx->jobs_per_thread, sctx->total_jobs);
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    for (uint32_t batch = start_batch; batch < end_batch; ++batch) {
+        const uint32_t i03 = batch / ne02;
+        const uint32_t i02 = batch - i03 * ne02;
+
+        const float * A_batch =
+            (const float *) ((const uint8_t *) (uintptr_t) src0->data + i02 * src0->nb[2] + i03 * src0->nb[3]);
+        const float * B_batch =
+            (const float *) ((const uint8_t *) (uintptr_t) src1->data + i02 * src1->nb[2] + i03 * src1->nb[3]);
+        float * X_batch = (float *) ((uint8_t *) (uintptr_t) dst->data + i02 * dst->nb[2] + i03 * dst->nb[3]);
+
+        for (uint32_t row = 0; row < n; ++row) {
+            const float   diag     = A_batch[row * n + row];
+            const float   inv_diag = 1.0f / diag;
+            const float * A_row    = A_batch + row * n;
+            const float * B_row    = B_batch + row * k;
+
+            uint32_t col0 = 0;
+            for (; col0 < k_full; col0 += col_block) {
+                solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, col_block, inv_diag);
+            }
+
+            if (col0 < k) {
+                const uint32_t coln = k - col0;
+                if (coln >= 8) {
+                    solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
+                } else {
+                    solve_tri_row_scalar(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
+                }
+            }
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "solve-tri-batch %d/%d: A=(%ux%u) B=(%ux%u) batch %u:%u usec %u\n",
+         ith, nth, n, n, k, n, start_batch, end_batch,
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+// Chunk-level thread: each job is one (batch, col_chunk) pair.
+static void solve_tri_chunk_thread_f32(unsigned int nth, unsigned int ith, void * data) {
+    struct htp_solve_tri_context * sctx = (struct htp_solve_tri_context *) data;
+    struct htp_ops_context *       octx = sctx->octx;
+
+    const struct htp_tensor * src0 = octx->src[0];  // A
+    const struct htp_tensor * src1 = octx->src[1];  // B
+    const struct htp_tensor * dst  = octx->dst;     // X
+
+    const uint32_t n = src0->ne[0];
+    const uint32_t k = src1->ne[0];
+
+    const uint32_t ne02 = src0->ne[2];
+
+    const uint32_t start_job = sctx->jobs_per_thread * ith;
+    const uint32_t end_job   = MIN(start_job + sctx->jobs_per_thread, sctx->total_jobs);
+
+    uint64_t t1, t2;
+    t1 = HAP_perf_get_qtimer_count();
+
+    for (uint32_t job = start_job; job < end_job; ++job) {
+        const uint32_t batch = job / sctx->k_chunks;
+        const uint32_t chunk = job - batch * sctx->k_chunks;
+
+        const uint32_t i03 = batch / ne02;
+        const uint32_t i02 = batch - i03 * ne02;
+
+        const uint32_t col0 = chunk * sctx->col_block;
+        const uint32_t coln = MIN(sctx->col_block, k - col0);
+
+        const float * A_batch =
+            (const float *) ((const uint8_t *) (uintptr_t) src0->data + i02 * src0->nb[2] + i03 * src0->nb[3]);
+        const float * B_batch =
+            (const float *) ((const uint8_t *) (uintptr_t) src1->data + i02 * src1->nb[2] + i03 * src1->nb[3]);
+        float * X_batch = (float *) ((uint8_t *) (uintptr_t) dst->data + i02 * dst->nb[2] + i03 * dst->nb[3]);
+
+        const bool use_hvx = (coln >= 8);
+
+        for (uint32_t row = 0; row < n; ++row) {
+            const float diag     = A_batch[row * n + row];
+            const float inv_diag = 1.0f / diag;
+
+            const float * A_row = A_batch + row * n;
+            const float * B_row = B_batch + row * k;
+
+            if (use_hvx) {
+                solve_tri_row_hvx(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
+            } else {
+                solve_tri_row_scalar(A_row, B_row, X_batch, row, k, col0, coln, inv_diag);
+            }
+        }
+    }
+
+    t2 = HAP_perf_get_qtimer_count();
+
+    FARF(HIGH, "solve-tri-chunk %d/%d: A=(%ux%u) B=(%ux%u) job %u:%u usec %u\n",
+         ith, nth, n, n, k, n, start_job, end_job,
+         (unsigned) HAP_perf_qtimer_count_to_us(t2 - t1));
+}
+
+int op_solve_tri(struct htp_ops_context * octx) {
+    const struct htp_tensor * src0 = octx->src[0];  // A
+    const struct htp_tensor * src1 = octx->src[1];  // B
+    const struct htp_tensor * dst  = octx->dst;     // X
+
+    if (src0->type != HTP_TYPE_F32 || src1->type != HTP_TYPE_F32 || dst->type != HTP_TYPE_F32) {
+        return HTP_STATUS_NO_SUPPORT;
+    }
+
+    // left=true, lower=true, uni=false only
+    if (src0->ne[0] != src0->ne[1]) {
+        return HTP_STATUS_INVAL_PARAMS;
+    }
+    if (src0->ne[1] != src1->ne[1]) {
+        return HTP_STATUS_INVAL_PARAMS;
+    }
+    if (src0->ne[2] != src1->ne[2] || src0->ne[3] != src1->ne[3]) {
+        return HTP_STATUS_INVAL_PARAMS;
+    }
+    if (dst->ne[0] != src1->ne[0] || dst->ne[1] != src1->ne[1] || dst->ne[2] != src1->ne[2] ||
+        dst->ne[3] != src1->ne[3]) {
+        return HTP_STATUS_INVAL_PARAMS;
+    }
+
+    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
+        return HTP_STATUS_OK;
+    }
+
+    const uint32_t k = src1->ne[0];
+
+    const uint32_t col_block     = VLEN_FP32;
+    const uint32_t k_chunks      = (k + col_block - 1) / col_block;
+    const uint32_t total_batches = src0->ne[2] * src0->ne[3];
+    const bool     batched       = total_batches >= (uint32_t) octx->n_threads;
+
+    FARF(HIGH, "solve-tri: (%ux%ux%ux%u) x (%ux%ux%ux%u) -> (%ux%ux%ux%u) : batched %d\n",
+         src0->ne[0], src0->ne[1], src0->ne[2], src0->ne[3],
+         src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
+         dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], batched);
+
+    if (batched) {
+        // Batch-level parallelism
+        const uint32_t n_threads = MIN((uint32_t) octx->n_threads, total_batches);
+
+        struct htp_solve_tri_context sctx = {
+            .octx            = octx,
+            .jobs_per_thread = (total_batches + n_threads - 1) / n_threads,
+            .total_jobs      = total_batches,
+            .k_chunks        = k_chunks,
+            .col_block       = col_block,
+        };
+
+        worker_pool_run_func(octx->ctx->worker_pool, solve_tri_batch_thread_f32, &sctx, n_threads);
+    } else {
+        // Chunk-level parallelism
+        const uint32_t total_jobs = total_batches * k_chunks;
+        const uint32_t n_threads  = MIN((uint32_t) octx->n_threads, MAX(total_jobs, 1));
+
+        struct htp_solve_tri_context sctx = {
+            .octx            = octx,
+            .jobs_per_thread = (total_jobs + n_threads - 1) / n_threads,
+            .total_jobs      = total_jobs,
+            .k_chunks        = k_chunks,
+            .col_block       = col_block,
+        };
+
+        worker_pool_run_func(octx->ctx->worker_pool, solve_tri_chunk_thread_f32, &sctx, n_threads);
+    }
+
+    return HTP_STATUS_OK;
+}
diff --git a/ggml/src/ggml-hexagon/htp/ssm-conv.c b/ggml/src/ggml-hexagon/htp/ssm-conv.c
index 6b035810d..a28fd03e9 100644
--- a/ggml/src/ggml-hexagon/htp/ssm-conv.c
+++ b/ggml/src/ggml-hexagon/htp/ssm-conv.c
@@ -16,14 +16,14 @@
 #include "ggml-common.h"
 #include "htp-ctx.h"
 #include "hex-dma.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 #include "hvx-utils.h"
 
-#define htp_ssm_conv_tensors_preamble                        \
-    struct htp_tensor * restrict src0    = &octx->src0;      \
-    struct htp_tensor * restrict src1    = &octx->src1;      \
-    struct htp_tensor * restrict dst     = &octx->dst;       \
+#define htp_ssm_conv_tensors_preamble                          \
+    const struct htp_tensor * restrict src0    = octx->src[0]; \
+    const struct htp_tensor * restrict src1    = octx->src[1]; \
+    const struct htp_tensor * restrict dst     = octx->dst;    \
     struct htp_spad * restrict src0_spad = &octx->src0_spad; \
     struct htp_spad * restrict src1_spad = &octx->src1_spad; \
     struct htp_spad * restrict dst_spad  = &octx->dst_spad;  \
@@ -289,9 +289,9 @@ int op_ssm_conv_f32(struct htp_ops_context * octx) {
             // Compute gather scratchpad size for src0 and src1
             const size_t gather_spad_size = n_threads * VLEN * 2;
 
-            octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size;
-            octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size;
-            octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size;
+            octx->src0_spad.data = octx->ctx->vtcm_base + gather_spad_size;     octx->src0_spad.src = NULL;
+            octx->src1_spad.data = octx->src0_spad.data + octx->src0_spad.size; octx->src1_spad.src = NULL;
+            octx->dst_spad.data  = octx->src1_spad.data + octx->src1_spad.size; octx->dst_spad.src  = NULL;
 
             FARF(HIGH, "ssm_conv-f32: gather-spad:%zu spad-per-thread:(%u:%u:%u) spad-sizes:(%u:%u:%u) spad-data:(%p:%p:%p)\n",
                 gather_spad_size, octx->src0_spad.size_per_thread, octx->src1_spad.size_per_thread,
@@ -323,8 +323,9 @@ int op_ssm_conv_f32(struct htp_ops_context * octx) {
 }
 
 int op_ssm_conv(struct htp_ops_context * octx) {
-    int                 err = HTP_STATUS_OK;
-    struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * dst = octx->dst;
+
+    int err = HTP_STATUS_OK;
 
     switch (dst->type) {
         case HTP_TYPE_F32:
diff --git a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
index 352650b68..874c41ab2 100644
--- a/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
+++ b/ggml/src/ggml-hexagon/htp/sum-rows-ops.c
@@ -14,13 +14,13 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
-#define sum_rows_preamble                       \
-    struct htp_tensor *src0 =  &octx->src0;\
-    struct htp_tensor *dst  = &octx->dst;  \
-                                           \
+#define sum_rows_preamble                         \
+    const struct htp_tensor *src0 = octx->src[0]; \
+    const struct htp_tensor *dst  = octx->dst;    \
+                                                  \
     const uint32_t ne00 = src0->ne[0];     \
     const uint32_t ne01 = src0->ne[1];     \
     const uint32_t ne02 = src0->ne[2];     \
@@ -94,7 +94,7 @@ static void sum_rows_thread_f32(unsigned int nth, unsigned int ith, void *data)
 int op_sum_rows(struct htp_ops_context * octx) {
     sum_rows_preamble;
 
-    if (octx->src0.type != HTP_TYPE_F32) {
+    if (octx->src[0]->type != HTP_TYPE_F32) {
         return HTP_STATUS_NO_SUPPORT;
     }
 
diff --git a/ggml/src/ggml-hexagon/htp/unary-ops.c b/ggml/src/ggml-hexagon/htp/unary-ops.c
index 13d28317d..819cdc49b 100644
--- a/ggml/src/ggml-hexagon/htp/unary-ops.c
+++ b/ggml/src/ggml-hexagon/htp/unary-ops.c
@@ -16,7 +16,7 @@
 #define GGML_COMMON_DECL_C
 #include "ggml-common.h"
 #include "htp-ctx.h"
-#include "htp-msg.h"
+#include "htp-ops.h"
 #include "htp-ops.h"
 
 struct htp_unary_context {
@@ -26,8 +26,8 @@ struct htp_unary_context {
     const uint8_t *           data_src0;
     uint8_t *                 data_dst;
 
-    size_t                    src0_row_size;
-    size_t                    dst_row_size;
+    size_t                    src0_data_row_size;   // actual data bytes per row
+    size_t                    dst_data_row_size;    // actual data bytes per row
 
     size_t                    src0_row_size_aligned;
     size_t                    dst_row_size_aligned;
@@ -41,6 +41,40 @@ struct htp_unary_context {
     uint32_t                  nc;
 };
 
+// Convert flat row index to DDR byte offset using the tensor's actual strides.
+// ir = i1 + ne1*(i2 + ne2*i3)  =>  offset = i1*nb1 + i2*nb2 + i3*nb3
+static inline size_t unary_row_offset(uint32_t ir,
+                                      uint32_t ne1, uint32_t ne2,
+                                      size_t nb1, size_t nb2, size_t nb3) {
+    const uint32_t i1 = ir % ne1;
+    const uint32_t i2 = (ir / ne1) % ne2;
+    const uint32_t i3 = ir / (ne1 * ne2);
+    return i1 * nb1 + i2 * nb2 + i3 * nb3;
+}
+// Safe DMA block size from row `ir`: clamp to the tighter dim-1 slice
+// boundary of src and dst so the nb1 stride stays valid for all rows.
+static inline uint32_t unary_block_size(uint32_t ir,
+                                        uint32_t end_row,
+                                        uint32_t block,
+                                        bool src_contig,
+                                        bool dst_contig,
+                                        uint32_t src_ne1,
+                                        uint32_t dst_ne1) {
+    uint32_t limit = MIN(block, end_row - ir);
+
+    if (!src_contig) {
+        const uint32_t src_slice_end = (ir / src_ne1 + 1) * src_ne1;
+        limit = MIN(limit, src_slice_end - ir);
+    }
+
+    if (!dst_contig) {
+        const uint32_t dst_slice_end = (ir / dst_ne1 + 1) * dst_ne1;
+        limit = MIN(limit, dst_slice_end - ir);
+    }
+
+    return limit;
+}
+
 #define htp_unary_preamble            \
     const uint32_t ne00 = src->ne[0]; \
     const uint32_t ne01 = src->ne[1]; \
@@ -267,8 +301,8 @@ static void softplus_f32(const float * restrict src,
 static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void * data) {
     const struct htp_unary_context * uctx = (const struct htp_unary_context *) data;
     struct htp_ops_context * octx = uctx->octx;
-    const struct htp_tensor * src = &octx->src0;
-    const struct htp_tensor * dst = &octx->dst;
+    const struct htp_tensor * src = octx->src[0];
+    const struct htp_tensor * dst = octx->dst;
 
     htp_unary_preamble;
 
@@ -276,8 +310,8 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
     int32_t *                 op_params = octx->op_params;
     uint32_t                  src0_nrows_per_thread = uctx->src0_nrows_per_thread;
 
-    const size_t src0_row_size = uctx->src0_row_size;
-    const size_t dst_row_size  = uctx->dst_row_size;
+    const size_t src0_data_row_size = uctx->src0_data_row_size;
+    const size_t dst_data_row_size  = uctx->dst_data_row_size;
 
     const size_t src0_row_size_aligned = uctx->src0_row_size_aligned;
     const size_t dst_row_size_aligned  = uctx->dst_row_size_aligned;
@@ -303,7 +337,16 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
     size_t src0_spad_half_size = uctx->src0_spad_half_size;
     size_t dst_spad_half_size  = uctx->dst_spad_half_size;
 
-    const int BLOCK = uctx->block;
+    // Non-contiguous tensors have gaps at dim-2/3 boundaries that a single-stride
+    // 2D DMA descriptor cannot span. Clamp BLOCK to ne1 (one dim-1 slice) so every
+    // transfer stays within a nb1-uniform region. Skipped for contiguous tensors.
+    const bool src0_contig = (nb02 == (size_t)ne01 * nb01) &&
+                             (nb03 == (size_t)ne02 * nb02);
+    const bool dst_contig  = (nb2  == (size_t)ne1  * nb1)  &&
+                             (nb3  == (size_t)ne2  * nb2);
+    const uint32_t src0_max_block = src0_contig ? uctx->block : MIN((uint32_t)uctx->block, ne01);
+    const uint32_t dst_max_block  = dst_contig  ? uctx->block : MIN((uint32_t)uctx->block, ne1);
+    const uint32_t BLOCK = MIN(src0_max_block, dst_max_block);
     if (BLOCK == 0) {
         FARF(ERROR, "unary-f32 : current VTCM reservation %zu is too small for even 1 row per thread, needed at least %zu\n",
              octx->src0_spad.size_per_thread, src0_row_size_aligned);
@@ -312,21 +355,23 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
 
     dma_queue * dma_queue = octx->ctx->dma[ith];
 
-    for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; ir += BLOCK, spad_idx++) {
-        const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
+    for (uint32_t ir = src0_start_row, spad_idx = 0; ir < src0_end_row && spad_idx < 2; spad_idx++) {
+        const uint32_t block_size = unary_block_size(ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1);
 
         // Dummy DMA transation for sequencing (interleaving dst,src,dst,...)
-        dma_queue_push_vtcm_to_ddr(dma_queue,
+        dma_queue_push(dma_queue,
             dma_make_ptr(data_dst, dst_spad_data + (spad_idx * dst_spad_half_size)),
-            dst_row_size, dst_row_size_aligned, 0);
+            nb1, dst_row_size_aligned, dst_data_row_size, 0);
 
-        dma_queue_push_ddr_to_vtcm(dma_queue,
-            dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src + (ir * src0_row_size)),
-            src0_row_size_aligned, src0_row_size, block_size);
+        const size_t src0_off = unary_row_offset(ir, ne01, ne02, nb01, nb02, nb03);
+        dma_queue_push(dma_queue,
+            dma_make_ptr(src0_spad_data + (spad_idx * src0_spad_half_size), data_src + src0_off),
+            src0_row_size_aligned, nb01, src0_data_row_size, block_size);
+        ir += block_size;
     }
 
-    for (uint32_t ir = src0_start_row; ir < src0_end_row; ir += BLOCK) {
-        const uint32_t block_size = MIN(BLOCK, src0_end_row - ir);
+    for (uint32_t ir = src0_start_row; ir < src0_end_row; ) {
+        const uint32_t block_size = unary_block_size(ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1);
 
         float * dst_spad  = (float *) dma_queue_pop(dma_queue).src;
         float * src0_spad = (float *) dma_queue_pop(dma_queue).dst;
@@ -361,18 +406,25 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
                 break;
         }
 
-        dma_queue_push_vtcm_to_ddr(dma_queue,
-            dma_make_ptr(data_dst + (ir * dst_row_size), dst_spad),
-            dst_row_size, dst_row_size_aligned, block_size);
+        const size_t dst_off = unary_row_offset(ir, ne1, ne2, nb1, nb2, nb3);
+        dma_queue_push(dma_queue,
+            dma_make_ptr(data_dst + dst_off, dst_spad),
+            nb1, dst_row_size_aligned, dst_data_row_size, block_size);
 
         // prefetch N+2 loop iteration if any
-        const uint32_t pref_block = (ir + BLOCK * 2);
-        if (pref_block < src0_end_row) {
-            const uint32_t pref_block_size = MIN(BLOCK, src0_end_row - pref_block);
-            dma_queue_push_ddr_to_vtcm(dma_queue,
-                dma_make_ptr(src0_spad, data_src + (pref_block * src0_row_size)),
-                src0_row_size_aligned, src0_row_size, pref_block_size);
+        const uint32_t next_ir = ir + block_size;
+        if (next_ir < src0_end_row) {
+            const uint32_t next_block_size = unary_block_size(next_ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1);
+            const uint32_t pref_ir = next_ir + next_block_size;
+            if (pref_ir < src0_end_row) {
+                const uint32_t pref_block_size = unary_block_size(pref_ir, src0_end_row, BLOCK, src0_contig, dst_contig, ne01, ne1);
+                const size_t src0_pref_off = unary_row_offset(pref_ir, ne01, ne02, nb01, nb02, nb03);
+            dma_queue_push(dma_queue,
+                dma_make_ptr(src0_spad, data_src + src0_pref_off),
+                src0_row_size_aligned, nb01, src0_data_row_size, pref_block_size);
+            }
         }
+        ir += block_size;
     }
 
     dma_queue_flush(dma_queue);
@@ -387,8 +439,8 @@ static void unary_job_f32_per_thread(unsigned int nth, unsigned int ith, void *
 static int execute_op_unary_f32(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    const struct htp_tensor * src0 = &octx->src0;
-    struct htp_tensor *       dst  = &octx->dst;
+    const struct htp_tensor * src0 = octx->src[0];
+    const struct htp_tensor * dst  = octx->dst;
 
     const char * op_type = NULL;
 
@@ -426,11 +478,11 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
     const uint32_t src0_nrows = src0->ne[1] * src0->ne[2] * src0->ne[3];
     const uint32_t n_threads  = MIN(octx->n_threads, src0_nrows);
 
-    const size_t src0_row_size = src0->nb[1];
-    const size_t dst_row_size  = dst->nb[1];
+    const size_t src0_data_row_size = src0->ne[0] * sizeof(float);
+    const size_t dst_data_row_size  = dst->ne[0]  * sizeof(float);
 
-    const size_t src0_row_size_aligned = hex_round_up(src0_row_size, VLEN);
-    const size_t dst_row_size_aligned  = hex_round_up(dst_row_size, VLEN);
+    const size_t src0_row_size_aligned = hex_round_up(src0_data_row_size, VLEN);
+    const size_t dst_row_size_aligned  = hex_round_up(dst_data_row_size,  VLEN);
 
     // VTCM scratchpads for all tensors
     // N rows per thread, padded to HVX vector size
@@ -468,8 +520,8 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
             .data_src0             = (const uint8_t *)src0->data,
             .data_dst              = (uint8_t *)dst->data,
 
-            .src0_row_size         = src0_row_size,
-            .dst_row_size          = dst_row_size,
+            .src0_data_row_size    = src0_data_row_size,
+            .dst_data_row_size     = dst_data_row_size,
 
             .src0_row_size_aligned = src0_row_size_aligned,
             .dst_row_size_aligned  = dst_row_size_aligned,
@@ -490,7 +542,7 @@ static int execute_op_unary_f32(struct htp_ops_context * octx) {
 int op_unary(struct htp_ops_context * octx) {
     int err = HTP_STATUS_OK;
 
-    switch (octx->src0.type) {
+    switch (octx->src[0]->type) {
         case HTP_TYPE_F32:
             err = execute_op_unary_f32(octx);
             break;
diff --git a/ggml/src/ggml-hexagon/htp/vtcm-utils.h b/ggml/src/ggml-hexagon/htp/vtcm-utils.h
new file mode 100644
index 000000000..b129fb74e
--- /dev/null
+++ b/ggml/src/ggml-hexagon/htp/vtcm-utils.h
@@ -0,0 +1,16 @@
+#ifndef VTCM_UTILS_H
+#define VTCM_UTILS_H
+
+#include "hex-utils.h"
+
+#include <assert.h>
+#include <stdint.h>
+#include <hexagon_types.h>
+
+static inline uint8_t *vtcm_seq_alloc(uint8_t **vtcm_ptr, size_t size) {
+    uint8_t *p = *vtcm_ptr;
+    *vtcm_ptr += size;
+    return p;
+}
+
+#endif // VTCM_UTILS_H
diff --git a/ggml/src/ggml-hexagon/libggml-htp.inf b/ggml/src/ggml-hexagon/libggml-htp.inf
index 656d2d9ab..39cefcdda 100644
--- a/ggml/src/ggml-hexagon/libggml-htp.inf
+++ b/ggml/src/ggml-hexagon/libggml-htp.inf
@@ -8,7 +8,7 @@ CatalogFile = libggml-htp.cat
 PnpLockDown = 1
 
 [DestinationDirs]
-Drivers_Dir = 6
+Drivers_Dir = 13
 
 [SourceDisksNames]
 1 = %DiskId%
@@ -18,6 +18,7 @@ libggml-htp-v68.so = 1
 libggml-htp-v69.so = 1
 libggml-htp-v73.so = 1
 libggml-htp-v75.so = 1
+libggml-htp-v79.so = 1
 libggml-htp-v81.so = 1
 
 [ControlFlags]
@@ -31,6 +32,7 @@ libggml-htp-v68.so,,,0x10 ;COPYFLG_NO_OVERWRITE
 libggml-htp-v69.so,,,0x10 ;COPYFLG_NO_OVERWRITE
 libggml-htp-v73.so,,,0x10 ;COPYFLG_NO_OVERWRITE
 libggml-htp-v75.so,,,0x10 ;COPYFLG_NO_OVERWRITE
+libggml-htp-v79.so,,,0x10 ;COPYFLG_NO_OVERWRITE
 libggml-htp-v81.so,,,0x10 ;COPYFLG_NO_OVERWRITE
 
 [Strings]
diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt
index 168d69b99..f40b1d754 100644
--- a/ggml/src/ggml-hip/CMakeLists.txt
+++ b/ggml/src/ggml-hip/CMakeLists.txt
@@ -47,6 +47,10 @@ find_package(hip     REQUIRED)
 find_package(hipblas REQUIRED)
 find_package(rocblas REQUIRED)
 
+if (GGML_HIP_RCCL)
+    find_package(rccl REQUIRED)
+endif()
+
 if (${hip_VERSION} VERSION_LESS 6.1)
     message(FATAL_ERROR "At least ROCM/HIP V6.1 is required")
 endif()
@@ -135,6 +139,10 @@ if (NOT GGML_HIP_MMQ_MFMA)
     add_compile_definitions(GGML_HIP_NO_MMQ_MFMA)
 endif()
 
+if (GGML_HIP_RCCL)
+    add_compile_definitions(GGML_USE_NCCL) # RCCL has the same interface as NCCL.
+endif()
+
 if (GGML_HIP_EXPORT_METRICS)
     set(CMAKE_HIP_FLAGS "${CMAKE_HIP_FLAGS} -Rpass-analysis=kernel-resource-usage --save-temps")
 endif()
@@ -159,4 +167,8 @@ if (GGML_STATIC)
     message(FATAL_ERROR "Static linking not supported for HIP/ROCm")
 endif()
 
+if (GGML_HIP_RCCL)
+    target_link_libraries(ggml-hip PRIVATE ggml-base roc::rccl)
+endif()
+
 target_link_libraries(ggml-hip PRIVATE ggml-base hip::host roc::rocblas roc::hipblas)
diff --git a/ggml/src/ggml-impl.h b/ggml/src/ggml-impl.h
index 0639db362..62b76abbc 100644
--- a/ggml/src/ggml-impl.h
+++ b/ggml/src/ggml-impl.h
@@ -30,6 +30,8 @@ extern "C" {
 
 void ggml_print_backtrace(void);
 
+uint64_t ggml_graph_next_uid(void);
+
 #ifndef MIN
 #    define MIN(a, b) ((a) < (b) ? (a) : (b))
 #endif
@@ -338,6 +340,10 @@ struct ggml_cgraph {
     struct ggml_hash_set visited_hash_set;
 
     enum ggml_cgraph_eval_order order;
+
+    // an optional identifier that can be utilized to recognize same graphs if two non-zero values match
+    // a value of 0 means it is not set and should be ignored
+    uint64_t uid;
 };
 
 // returns a slice of cgraph with nodes [i0, i1)
diff --git a/ggml/src/ggml-metal/ggml-metal-device.cpp b/ggml/src/ggml-metal/ggml-metal-device.cpp
index 89539bd76..d211bf79f 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-device.cpp
@@ -250,6 +250,7 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_unary(ggml_metal
                 case GGML_UNARY_OP_CEIL:        op_num = OP_UNARY_NUM_CEIL;        break;
                 case GGML_UNARY_OP_ROUND:       op_num = OP_UNARY_NUM_ROUND;       break;
                 case GGML_UNARY_OP_TRUNC:       op_num = OP_UNARY_NUM_TRUNC;       break;
+                case GGML_UNARY_OP_XIELU:       op_num = OP_UNARY_NUM_XIELU;       break;
                 default: GGML_ABORT("fatal error");
             } break;
         default: GGML_ABORT("fatal error");
@@ -676,7 +677,15 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm(ggml_meta
     const ggml_type tsrc1 = op->src[1]->type;
 
     const bool bc_inp = op->src[0]->ne[0] % 32 != 0;
-    const bool bc_out = op->ne[0] % 64 != 0 || op->ne[1] % 32 != 0;
+
+    constexpr int NRA = SZ_SIMDGROUP * N_MM_BLOCK_Y * N_MM_SIMD_GROUP_Y;
+    constexpr int NRB = SZ_SIMDGROUP * N_MM_BLOCK_X * N_MM_SIMD_GROUP_X;
+
+    const bool has_tensor = ggml_metal_device_get_props(ggml_metal_library_get_device(lib))->has_tensor;
+
+    const bool bc_out = has_tensor
+        ? (op->ne[0] % NRA != 0 || op->ne[1] % NRB != 0)
+        : (op->ne[0] % 64  != 0 || op->ne[1] % 32  != 0);
 
     snprintf(base, 256, "kernel_mul_mm_%s_%s", ggml_type_name(tsrc0), ggml_type_name(tsrc1));
     snprintf(name, 256, "%s_bci=%d_bco=%d", base, bc_inp, bc_out);
@@ -693,8 +702,20 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mm(ggml_meta
         ggml_metal_cv_free(cv);
     }
 
-    // when the output size is not multiple of 64x32, we need extra smem to prevent out-of-bounds writes
-    res.smem = bc_out ? 8192 : 4096 + 2048;
+    if (has_tensor) {
+        res.nr0 = NRA;
+        res.nr1 = NRB;
+
+        const size_t smem_a = NRA * N_MM_NK_TOTAL * sizeof(ggml_fp16_t);
+        res.smem = smem_a;
+    } else {
+        res.nr0 = 64;
+        res.nr1 = 32;
+
+        res.smem = bc_out ? 8192 : (4096 + 2048);
+    }
+
+    res.nsg = N_MM_SIMD_GROUP_X * N_MM_SIMD_GROUP_Y;
 
     return res;
 }
@@ -736,6 +757,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv(ggml_meta
                     suffix = ne00 % 4 == 0 ? "_4" : "";
                 }
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                nsg = N_SG_Q1_0;
+                nr0 = N_R0_Q1_0;
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 nsg = N_SG_Q4_0;
@@ -948,6 +974,11 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_mul_mv_id(ggml_m
                 smem = 32*sizeof(float)*nr0;
                 suffix = ne00 % 4 == 0 ? "_4" : "";
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                nsg = N_SG_Q1_0;
+                nr0 = N_R0_Q1_0;
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 nsg = N_SG_Q4_0;
@@ -1808,6 +1839,23 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale(ggml_met
     return res;
 }
 
+ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_roll(ggml_metal_library_t lib, const ggml_tensor * op) {
+    assert(op->op == GGML_OP_ROLL);
+
+    char base[256];
+    char name[256];
+
+    snprintf(base, 256, "kernel_roll_%s", ggml_type_name(op->src[0]->type));
+    snprintf(name, 256, "%s", base);
+
+    ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
+    if (!res.pipeline) {
+        res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
+    }
+
+    return res;
+}
+
 ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad(ggml_metal_library_t lib, const ggml_tensor * op) {
     assert(op->op == GGML_OP_PAD);
 
diff --git a/ggml/src/ggml-metal/ggml-metal-device.h b/ggml/src/ggml-metal/ggml-metal-device.h
index de43f8193..4718ca083 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.h
+++ b/ggml/src/ggml-metal/ggml-metal-device.h
@@ -102,6 +102,8 @@ ggml_metal_library_t ggml_metal_library_init_from_source(ggml_metal_device_t dev
 
 void ggml_metal_library_free(ggml_metal_library_t lib);
 
+ggml_metal_device_t ggml_metal_library_get_device(ggml_metal_library_t lib);
+
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline    (ggml_metal_library_t lib, const char * name);
 struct ggml_metal_pipeline_with_params ggml_metal_library_compile_pipeline(ggml_metal_library_t lib, const char * base, const char * name, ggml_metal_cv_t cv);
 
@@ -152,6 +154,7 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_conv_3d
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_upscale           (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad               (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_pad_reflect_1d    (ggml_metal_library_t lib, const struct ggml_tensor * op);
+struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_roll              (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_arange            (ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_timestep_embedding(ggml_metal_library_t lib, const struct ggml_tensor * op);
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_opt_step_adamw    (ggml_metal_library_t lib, const struct ggml_tensor * op);
@@ -279,6 +282,7 @@ bool   ggml_metal_buffer_is_shared(ggml_metal_buffer_t buf);
 void   ggml_metal_buffer_memset_tensor(ggml_metal_buffer_t buf, struct ggml_tensor * tensor, uint8_t value, size_t offset, size_t size);
 void   ggml_metal_buffer_set_tensor   (ggml_metal_buffer_t buf, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size);
 void   ggml_metal_buffer_get_tensor   (ggml_metal_buffer_t buf, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size);
+bool   ggml_metal_buffer_cpy_tensor   (ggml_metal_buffer_t buf, const struct ggml_tensor * src, struct ggml_tensor * dst);
 void   ggml_metal_buffer_clear        (ggml_metal_buffer_t buf, uint8_t value);
 
 // finds the Metal buffer that contains the tensor data on the GPU device
diff --git a/ggml/src/ggml-metal/ggml-metal-device.m b/ggml/src/ggml-metal/ggml-metal-device.m
index 17d51b11b..fab7891c0 100644
--- a/ggml/src/ggml-metal/ggml-metal-device.m
+++ b/ggml/src/ggml-metal/ggml-metal-device.m
@@ -1,6 +1,7 @@
 #import "ggml-metal-device.h"
 
 #import "ggml-impl.h"
+#import "ggml-backend-impl.h"
 
 #include <Foundation/Foundation.h>
 
@@ -95,8 +96,8 @@ int ggml_metal_pipeline_max_theads_per_threadgroup(struct ggml_metal_pipeline_wi
 
 struct ggml_metal_library {
     id<MTLLibrary> obj;
-    id<MTLDevice> device;
 
+    ggml_metal_device_t dev;
     ggml_metal_pipelines_t pipelines; // cache of compiled pipelines
 
     NSLock * lock;
@@ -251,7 +252,7 @@ ggml_metal_library_t ggml_metal_library_init(ggml_metal_device_t dev) {
     ggml_metal_library_t res = calloc(1, sizeof(struct ggml_metal_library));
 
     res->obj       = library;
-    res->device    = device;
+    res->dev       = dev;
     res->pipelines = ggml_metal_pipelines_init();
     res->lock      = [NSLock new];
 
@@ -318,7 +319,7 @@ ggml_metal_library_t ggml_metal_library_init_from_source(ggml_metal_device_t dev
     }
 
     res->obj       = library;
-    res->device    = device;
+    res->dev       = dev;
     res->pipelines = ggml_metal_pipelines_init();
     res->lock      = [NSLock new];
 
@@ -341,6 +342,10 @@ void ggml_metal_library_free(ggml_metal_library_t lib) {
     free(lib);
 }
 
+ggml_metal_device_t ggml_metal_library_get_device(ggml_metal_library_t lib) {
+    return lib->dev;
+}
+
 struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline(ggml_metal_library_t lib, const char * name) {
     [lib->lock lock];
 
@@ -405,7 +410,8 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_compile_pipeline(ggml_
             return res;
         }
 
-        id<MTLComputePipelineState> obj = [lib->device newComputePipelineStateWithFunction:mtl_function error:&error];
+        id<MTLDevice> device = ggml_metal_device_get_obj(lib->dev);
+        id<MTLComputePipelineState> obj = [device newComputePipelineStateWithFunction:mtl_function error:&error];
 
         [mtl_function release];
 
@@ -699,7 +705,7 @@ ggml_metal_device_t ggml_metal_device_init(int device) {
                     "    auto sB = tB.slice(0, 0); \n"
                     "    mm.run(sB, sA, cT); \n"
                     " \n"
-                    "    auto tC = tensor<device float, dextents<int32_t, 2>, tensor_inline>(C, dextents<int32_t, 2>(4, 4)); \n"
+                    "    auto tC = tensor<device float, dextents<int32_t, 2>, tensor_inline>(C, dextents<int32_t, 2>(16, 16)); \n"
                     " \n"
                     "    cT.store(tC); \n"
                     "}";
@@ -749,7 +755,7 @@ ggml_metal_device_t ggml_metal_device_init(int device) {
                     "    auto sB = tB.slice(0, 0); \n"
                     "    mm.run(sB, sA, cT); \n"
                     " \n"
-                    "    auto tC = tensor<device float, dextents<int32_t, 2>, tensor_inline>(C, dextents<int32_t, 2>(4, 4)); \n"
+                    "    auto tC = tensor<device float, dextents<int32_t, 2>, tensor_inline>(C, dextents<int32_t, 2>(16, 16)); \n"
                     " \n"
                     "    cT.store(tC); \n"
                     "}";
@@ -814,7 +820,7 @@ ggml_metal_device_t ggml_metal_device_init(int device) {
             }
 
             // print MTL GPU family:
-            GGML_LOG_INFO("%s: GPU name:   %s\n", __func__, dev->props.name);
+            GGML_LOG_INFO("%s: GPU name:   %s (%s)\n", __func__, dev->props.name, dev->props.desc);
 
             // determine max supported GPU family
             // https://developer.apple.com/metal/Metal-Shading-Language-Specification.pdf
@@ -931,13 +937,13 @@ void ggml_metal_device_rsets_keep_alive(ggml_metal_device_t dev) {
 }
 
 struct ggml_metal_event {
-    void * obj; // id<MTLEvent>
+    void * obj; // id<MTLSharedEvent>
 
     atomic_int value;
 };
 
 void ggml_metal_event_encode_signal(ggml_metal_event_t ev, ggml_metal_cmd_buf_t cmd_buf_raw) {
-    id<MTLEvent> event = (id<MTLEvent>)ev->obj;
+    id<MTLSharedEvent> event = (id<MTLSharedEvent>)ev->obj;
 
     id<MTLCommandBuffer> cmd_buf = (id<MTLCommandBuffer>) cmd_buf_raw;
 
@@ -945,7 +951,7 @@ void ggml_metal_event_encode_signal(ggml_metal_event_t ev, ggml_metal_cmd_buf_t
 }
 
 void ggml_metal_event_encode_wait(ggml_metal_event_t ev, ggml_metal_cmd_buf_t cmd_buf_raw) {
-    id<MTLEvent> event = (id<MTLEvent>)ev->obj;
+    id<MTLSharedEvent> event = (id<MTLSharedEvent>)ev->obj;
 
     id<MTLCommandBuffer> cmd_buf = (id<MTLCommandBuffer>) cmd_buf_raw;
 
@@ -953,7 +959,7 @@ void ggml_metal_event_encode_wait(ggml_metal_event_t ev, ggml_metal_cmd_buf_t cm
 }
 
 ggml_metal_event_t ggml_metal_device_event_init(ggml_metal_device_t dev) {
-    id<MTLEvent> event = [dev->mtl_device newEvent];
+    id<MTLSharedEvent> event = [dev->mtl_device newSharedEvent];
 
     ggml_metal_event_t ev = calloc(1, sizeof(struct ggml_metal_event));
 
@@ -964,7 +970,7 @@ ggml_metal_event_t ggml_metal_device_event_init(ggml_metal_device_t dev) {
 }
 
 void ggml_metal_device_event_free(ggml_metal_device_t dev, ggml_metal_event_t ev) {
-    id<MTLEvent> event = ev->obj;
+    id<MTLSharedEvent> event = ev->obj;
     [event release];
 
     free(ev);
@@ -973,14 +979,13 @@ void ggml_metal_device_event_free(ggml_metal_device_t dev, ggml_metal_event_t ev
 }
 
 void ggml_metal_device_event_synchronize(ggml_metal_device_t dev, ggml_metal_event_t ev) {
-    @autoreleasepool {
-        id<MTLEvent> event = ev->obj;
-
-        id<MTLCommandBuffer> cmd_buf = [dev->mtl_queue commandBuffer];
-        [cmd_buf encodeWaitForEvent:event value:atomic_load_explicit(&ev->value, memory_order_relaxed)];
-        [cmd_buf commit];
-        [cmd_buf waitUntilCompleted];
+    id<MTLSharedEvent> event = ev->obj;
+    const bool res = [event waitUntilSignaledValue:atomic_load_explicit(&ev->value, memory_order_relaxed) timeoutMS:60000];
+    if (!res) {
+        GGML_ABORT("%s: failed to wait for event\n", __func__);
     }
+
+    GGML_UNUSED(dev);
 }
 
 void ggml_metal_device_get_memory(ggml_metal_device_t dev, size_t * free, size_t * total) {
@@ -1043,6 +1048,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                 case GGML_UNARY_OP_CEIL:
                 case GGML_UNARY_OP_ROUND:
                 case GGML_UNARY_OP_TRUNC:
+                case GGML_UNARY_OP_XIELU:
                     return ggml_is_contiguous_rows(op->src[0]) && (op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16);
                 default:
                     return false;
@@ -1137,6 +1143,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
         case GGML_OP_ARGSORT:
         case GGML_OP_TOP_K:
         case GGML_OP_ARANGE:
+        case GGML_OP_ROLL:
             return true;
         case GGML_OP_FLASH_ATTN_EXT:
             // for new head sizes, add checks here
@@ -1159,6 +1166,23 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
             if (op->src[1]->type != op->src[2]->type) {
                 return false;
             }
+            switch (op->src[1]->type) {
+                case GGML_TYPE_F32:
+                case GGML_TYPE_F16:
+                case GGML_TYPE_Q8_0:
+                case GGML_TYPE_Q4_0:
+                case GGML_TYPE_Q4_1:
+                case GGML_TYPE_Q5_0:
+                case GGML_TYPE_Q5_1:
+                    break;
+                case GGML_TYPE_BF16:
+                    if (!has_bfloat) {
+                        return false;
+                    }
+                    break;
+                default:
+                    return false;
+            }
             return has_simdgroup_mm; // TODO: over-restricted for vec-kernels
         case GGML_OP_SSM_CONV:
         case GGML_OP_SSM_SCAN:
@@ -1184,6 +1208,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                            case GGML_TYPE_F16:
                            case GGML_TYPE_BF16:
                            case GGML_TYPE_Q8_0:
+                           case GGML_TYPE_Q1_0:
                            case GGML_TYPE_Q4_0:
                            case GGML_TYPE_Q4_1:
                            case GGML_TYPE_Q5_0:
@@ -1210,6 +1235,7 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
                             default:
                                 return false;
                         }
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -1712,6 +1738,47 @@ void ggml_metal_buffer_get_tensor(ggml_metal_buffer_t buf, const struct ggml_ten
     }
 }
 
+bool ggml_metal_buffer_cpy_tensor(ggml_metal_buffer_t buf_dst, const struct ggml_tensor * src, struct ggml_tensor * dst) {
+    ggml_metal_buffer_t buf_src = (ggml_metal_buffer_t)src->buffer->context;
+
+    const size_t size = ggml_nbytes(src);
+
+    // if both buffers are shared, we can use memcpy directly
+    if (buf_dst->is_shared && buf_src->is_shared) {
+        memcpy(dst->data, src->data, size);
+        return true;
+    }
+
+    // for private buffers, we need to use Metal blit commands
+    @autoreleasepool {
+        struct ggml_metal_buffer_id bid_src = ggml_metal_buffer_get_id(buf_src, src);
+        struct ggml_metal_buffer_id bid_dst = ggml_metal_buffer_get_id(buf_dst, dst);
+
+        if (bid_src.metal == nil || bid_dst.metal == nil) {
+            return false;
+        }
+
+        id<MTLCommandBuffer> cmd_buf = [buf_dst->dev->mtl_queue commandBufferWithUnretainedReferences];
+
+        {
+            id<MTLBlitCommandEncoder> encoder = [cmd_buf blitCommandEncoder];
+
+            [encoder copyFromBuffer:bid_src.metal
+                       sourceOffset:bid_src.offs
+                           toBuffer:bid_dst.metal
+                  destinationOffset:bid_dst.offs
+                               size:size];
+
+            [encoder endEncoding];
+        }
+
+        [cmd_buf commit];
+        [cmd_buf waitUntilCompleted];
+    }
+
+    return true;
+}
+
 void ggml_metal_buffer_clear(ggml_metal_buffer_t buf, uint8_t value) {
     if (buf->is_shared) {
         memset(buf->all_data, value, buf->all_size);
diff --git a/ggml/src/ggml-metal/ggml-metal-impl.h b/ggml/src/ggml-metal/ggml-metal-impl.h
index eb2253e02..ff74cafb5 100644
--- a/ggml/src/ggml-metal/ggml-metal-impl.h
+++ b/ggml/src/ggml-metal/ggml-metal-impl.h
@@ -1,6 +1,19 @@
 #ifndef GGML_METAL_IMPL
 #define GGML_METAL_IMPL
 
+// kernel parameters for mat-mat threadgroups
+//
+// TODO: become function constants
+
+#define SZ_SIMDGROUP 16
+#define N_MM_NK 2
+#define N_MM_NK_TOTAL (SZ_SIMDGROUP * N_MM_NK)
+
+#define N_MM_BLOCK_X 4
+#define N_MM_BLOCK_Y 2
+#define N_MM_SIMD_GROUP_X 2
+#define N_MM_SIMD_GROUP_Y 2
+
 // kernel parameters for mat-vec threadgroups
 //
 // N_R0: number of src0 rows to process per simdgroup
@@ -8,6 +21,9 @@
 //
 // TODO: for optimal performance, become function of the device and work size
 
+#define N_R0_Q1_0 8
+#define N_SG_Q1_0 2
+
 #define N_R0_Q4_0 4
 #define N_SG_Q4_0 2
 
@@ -124,6 +140,7 @@
 #define OP_UNARY_NUM_CEIL        118
 #define OP_UNARY_NUM_ROUND       119
 #define OP_UNARY_NUM_TRUNC       120
+#define OP_UNARY_NUM_XIELU       121
 
 #define OP_SUM_ROWS_NUM_SUM_ROWS 10
 #define OP_SUM_ROWS_NUM_MEAN     11
@@ -1013,6 +1030,29 @@ typedef struct {
     int32_t  p1;
 } ggml_metal_kargs_pad_reflect_1d;
 
+typedef struct {
+    int64_t  ne00;
+    int64_t  ne01;
+    int64_t  ne02;
+    int64_t  ne03;
+    uint64_t nb00;
+    uint64_t nb01;
+    uint64_t nb02;
+    uint64_t nb03;
+    int64_t  ne0;
+    int64_t  ne1;
+    int64_t  ne2;
+    int64_t  ne3;
+    uint64_t nb0;
+    uint64_t nb1;
+    uint64_t nb2;
+    uint64_t nb3;
+    int32_t  s0;
+    int32_t  s1;
+    int32_t  s2;
+    int32_t  s3;
+} ggml_metal_kargs_roll;
+
 typedef struct {
     uint64_t nb1;
     int      dim;
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.cpp b/ggml/src/ggml-metal/ggml-metal-ops.cpp
index 3cda21be4..5fa162c87 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.cpp
+++ b/ggml/src/ggml-metal/ggml-metal-ops.cpp
@@ -410,6 +410,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
             {
                 n_fuse = ggml_metal_op_pad_reflect_1d(ctx, idx);
             } break;
+        case GGML_OP_ROLL:
+            {
+                n_fuse = ggml_metal_op_roll(ctx, idx);
+            } break;
         case GGML_OP_ARANGE:
             {
                 n_fuse = ggml_metal_op_arange(ctx, idx);
@@ -787,6 +791,13 @@ int ggml_metal_op_unary(ggml_metal_op_t ctx, int idx) {
         args.max = ggml_get_op_params_f32(op, 1);
     }
 
+    if (op->op == GGML_OP_UNARY && ggml_get_unary_op(op) == GGML_UNARY_OP_XIELU) {
+        args.slope = ggml_get_op_params_f32(op, 1); // alpha_n
+        args.scale = ggml_get_op_params_f32(op, 2); // alpha_p
+        args.bias  = ggml_get_op_params_f32(op, 3); // beta
+        args.val   = ggml_get_op_params_f32(op, 4); // eps
+    }
+
     auto pipeline = ggml_metal_library_get_pipeline_unary(lib, op);
 
     if (pipeline.c4) {
@@ -2047,6 +2058,7 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
            op->src[0]->type == GGML_TYPE_F32  || // TODO: helper function
            op->src[0]->type == GGML_TYPE_F16  ||
            op->src[0]->type == GGML_TYPE_BF16 ||
+           op->src[0]->type == GGML_TYPE_Q1_0 ||
            op->src[0]->type == GGML_TYPE_Q4_0 ||
            op->src[0]->type == GGML_TYPE_Q4_1 ||
            op->src[0]->type == GGML_TYPE_Q5_0 ||
@@ -2183,7 +2195,12 @@ int ggml_metal_op_mul_mat(ggml_metal_op_t ctx, int idx) {
         const size_t smem = pipeline.smem;
 
         ggml_metal_encoder_set_threadgroup_memory_size(enc, smem, 0);
-        ggml_metal_encoder_dispatch_threadgroups(enc, ((ne11 + 31)/32), ((ne01 + 63)/64), ne12*ne13, 128, 1, 1);
+
+        const int nr0 = pipeline.nr0;
+        const int nr1 = pipeline.nr1;
+        const int nsg = pipeline.nsg;
+
+        ggml_metal_encoder_dispatch_threadgroups(enc, ((ne11 + nr1 - 1) / nr1), ((ne01 + nr0 - 1) / nr0), ne12 * ne13, 32, nsg, 1);
     } else {
         auto pipeline = ggml_metal_library_get_pipeline_mul_mv(lib, op);
 
@@ -3937,6 +3954,59 @@ int ggml_metal_op_upscale(ggml_metal_op_t ctx, int idx) {
     return 1;
 }
 
+int ggml_metal_op_roll(ggml_metal_op_t ctx, int idx) {
+    ggml_tensor * op = ctx->node(idx);
+
+    ggml_metal_library_t lib = ctx->lib;
+    ggml_metal_encoder_t enc = ctx->enc;
+
+    GGML_TENSOR_LOCALS( int32_t, ne0, op->src[0], ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb0, op->src[0], nb);
+    GGML_TENSOR_LOCALS( int32_t, ne,  op,         ne);
+    GGML_TENSOR_LOCALS(uint64_t, nb,  op,         nb);
+
+    const int32_t s0 = ggml_get_op_params_i32(op, 0);
+    const int32_t s1 = ggml_get_op_params_i32(op, 1);
+    const int32_t s2 = ggml_get_op_params_i32(op, 2);
+    const int32_t s3 = ggml_get_op_params_i32(op, 3);
+
+    ggml_metal_kargs_roll args = {
+        /*.ne00 =*/ ne00,
+        /*.ne01 =*/ ne01,
+        /*.ne02 =*/ ne02,
+        /*.ne03 =*/ ne03,
+        /*.nb00 =*/ nb00,
+        /*.nb01 =*/ nb01,
+        /*.nb02 =*/ nb02,
+        /*.nb03 =*/ nb03,
+        /*.ne0  =*/ ne0,
+        /*.ne1  =*/ ne1,
+        /*.ne2  =*/ ne2,
+        /*.ne3  =*/ ne3,
+        /*.nb0  =*/ nb0,
+        /*.nb1  =*/ nb1,
+        /*.nb2  =*/ nb2,
+        /*.nb3  =*/ nb3,
+        /*.s0   =*/ s0,
+        /*.s1   =*/ s1,
+        /*.s2   =*/ s2,
+        /*.s3   =*/ s3
+    };
+
+    auto pipeline = ggml_metal_library_get_pipeline_roll(lib, op);
+
+    const int nth = std::min(1024, ne0);
+
+    ggml_metal_encoder_set_pipeline(enc, pipeline);
+    ggml_metal_encoder_set_bytes   (enc, &args, sizeof(args), 0);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op->src[0]), 1);
+    ggml_metal_encoder_set_buffer  (enc, ggml_metal_get_buffer_id(op),         2);
+
+    ggml_metal_encoder_dispatch_threadgroups(enc, ne1, ne2, ne3, nth, 1, 1);
+
+    return 1;
+}
+
 int ggml_metal_op_pad(ggml_metal_op_t ctx, int idx) {
     ggml_tensor * op = ctx->node(idx);
 
diff --git a/ggml/src/ggml-metal/ggml-metal-ops.h b/ggml/src/ggml-metal/ggml-metal-ops.h
index 50e3c5c77..36c61071b 100644
--- a/ggml/src/ggml-metal/ggml-metal-ops.h
+++ b/ggml/src/ggml-metal/ggml-metal-ops.h
@@ -81,6 +81,7 @@ int ggml_metal_op_conv_transpose_2d (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_upscale           (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pad               (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_pad_reflect_1d    (ggml_metal_op_t ctx, int idx);
+int ggml_metal_op_roll              (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_arange            (ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_timestep_embedding(ggml_metal_op_t ctx, int idx);
 int ggml_metal_op_argmax            (ggml_metal_op_t ctx, int idx);
diff --git a/ggml/src/ggml-metal/ggml-metal.cpp b/ggml/src/ggml-metal/ggml-metal.cpp
index 9382ce53b..357742549 100644
--- a/ggml/src/ggml-metal/ggml-metal.cpp
+++ b/ggml/src/ggml-metal/ggml-metal.cpp
@@ -17,6 +17,9 @@
 // note: can be overridden with GGML_METAL_DEVICES env to simulate virtual devices
 static int g_devices = 1;
 
+// forward declaration
+static bool ggml_backend_buffer_is_metal(ggml_backend_buffer_t buffer);
+
 ////////////////////////////////////////////////////////////////////////////////
 // backend interface
 ////////////////////////////////////////////////////////////////////////////////
@@ -68,11 +71,11 @@ static bool ggml_backend_metal_buffer_shared_cpy_tensor(ggml_backend_buffer_t bu
 
     GGML_ASSERT(ggml_metal_buffer_is_shared(ctx));
 
-    GGML_UNUSED(buffer);
-    GGML_UNUSED(src);
-    GGML_UNUSED(dst);
+    if (!ggml_backend_buffer_is_metal(src->buffer)) {
+        return false;
+    }
 
-    return false;
+    return ggml_metal_buffer_cpy_tensor(ctx, src, dst);
 }
 
 static void ggml_backend_metal_buffer_shared_clear(ggml_backend_buffer_t buffer, uint8_t value) {
@@ -90,6 +93,8 @@ static ggml_backend_buffer_i ggml_backend_metal_buffer_shared_i = {
     /* .memset_tensor   = */ ggml_backend_metal_buffer_shared_memset_tensor,
     /* .set_tensor      = */ ggml_backend_metal_buffer_shared_set_tensor,
     /* .get_tensor      = */ ggml_backend_metal_buffer_shared_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_metal_buffer_shared_cpy_tensor,
     /* .clear           = */ ggml_backend_metal_buffer_shared_clear,
     /* .reset           = */ NULL,
@@ -142,11 +147,11 @@ static bool ggml_backend_metal_buffer_private_cpy_tensor(ggml_backend_buffer_t b
 
     GGML_ASSERT(!ggml_metal_buffer_is_shared(ctx));
 
-    GGML_UNUSED(buffer);
-    GGML_UNUSED(src);
-    GGML_UNUSED(dst);
+    if (!ggml_backend_buffer_is_metal(src->buffer)) {
+        return false;
+    }
 
-    return false;
+    return ggml_metal_buffer_cpy_tensor(ctx, src, dst);
 }
 
 static void ggml_backend_metal_buffer_private_clear(ggml_backend_buffer_t buffer, uint8_t value) {
@@ -158,15 +163,17 @@ static void ggml_backend_metal_buffer_private_clear(ggml_backend_buffer_t buffer
 }
 
 static ggml_backend_buffer_i ggml_backend_metal_buffer_private_i = {
-    /* .free_buffer     = */ ggml_backend_metal_buffer_private_free_buffer,
-    /* .get_base        = */ ggml_backend_metal_buffer_private_get_base,
-    /* .init_tensor     = */ NULL,
-    /* .memset_tensor   = */ ggml_backend_metal_buffer_private_memset_tensor,
-    /* .set_tensor      = */ ggml_backend_metal_buffer_private_set_tensor,
-    /* .get_tensor      = */ ggml_backend_metal_buffer_private_get_tensor,
-    /* .cpy_tensor      = */ ggml_backend_metal_buffer_private_cpy_tensor,
-    /* .clear           = */ ggml_backend_metal_buffer_private_clear,
-    /* .reset           = */ NULL,
+    /* .free_buffer             = */ ggml_backend_metal_buffer_private_free_buffer,
+    /* .get_base                = */ ggml_backend_metal_buffer_private_get_base,
+    /* .init_tensor             = */ NULL,
+    /* .memset_tensor           = */ ggml_backend_metal_buffer_private_memset_tensor,
+    /* .set_tensor              = */ ggml_backend_metal_buffer_private_set_tensor,
+    /* .get_tensor              = */ ggml_backend_metal_buffer_private_get_tensor,
+    /* .set_tensor_2d           = */ NULL,
+    /* .get_tensor_2d           = */ NULL,
+    /* .cpy_tensor              = */ ggml_backend_metal_buffer_private_cpy_tensor,
+    /* .clear                   = */ ggml_backend_metal_buffer_private_clear,
+    /* .reset                   = */ NULL,
 };
 
 static bool ggml_backend_buffer_is_metal(ggml_backend_buffer_t buffer) {
@@ -563,6 +570,8 @@ static ggml_backend_i ggml_backend_metal_i = {
     /* .free                    = */ ggml_backend_metal_free,
     /* .set_tensor_async        = */ ggml_backend_metal_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_metal_get_tensor_async,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ ggml_backend_metal_cpy_tensor_async, // only needed for multi-GPU setups
     /* .synchronize             = */ ggml_backend_metal_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -912,6 +921,10 @@ ggml_backend_reg_t ggml_backend_metal_reg(void) {
         static std::vector<ggml_backend_device_ptr> devs;
 
         if (!initialized) {
+            // workaround macOS limitation (kIOGPUCommandBufferCallbackErrorImpactingInteractivity) until proper fix becomes possible
+            // ref: https://github.com/ggml-org/llama.cpp/issues/20141#issuecomment-4272947703
+            setenv("AGX_RELAX_CDM_CTXSTORE_TIMEOUT", "1", true);
+
             static ggml_backend_metal_reg_ptr reg_ctx(ggml_backend_metal_reg_init());
 
             for (int i = 0; i < g_devices; ++i) {
diff --git a/ggml/src/ggml-metal/ggml-metal.metal b/ggml/src/ggml-metal/ggml-metal.metal
index 207421159..c372eaede 100644
--- a/ggml/src/ggml-metal/ggml-metal.metal
+++ b/ggml/src/ggml-metal/ggml-metal.metal
@@ -118,6 +118,56 @@ void dequantize_bf16_t4(device const bfloat4 * src, short il, thread type4 & reg
 }
 #endif
 
+template <typename type4x4>
+void dequantize_q1_0(device const block_q1_0 * xb, short il, thread type4x4 & reg) {
+    device const uint8_t * qs = xb->qs;
+    const float d = xb->d;
+    const float neg_d = -d;
+
+    const int byte_offset = il * 2;  // il*16 bits = il*2 bytes
+    const uint8_t b0 = qs[byte_offset];
+    const uint8_t b1 = qs[byte_offset + 1];
+
+    float4x4 reg_f;
+
+    reg_f[0][0] = select(neg_d, d, bool(b0 & 0x01));
+    reg_f[0][1] = select(neg_d, d, bool(b0 & 0x02));
+    reg_f[0][2] = select(neg_d, d, bool(b0 & 0x04));
+    reg_f[0][3] = select(neg_d, d, bool(b0 & 0x08));
+    reg_f[1][0] = select(neg_d, d, bool(b0 & 0x10));
+    reg_f[1][1] = select(neg_d, d, bool(b0 & 0x20));
+    reg_f[1][2] = select(neg_d, d, bool(b0 & 0x40));
+    reg_f[1][3] = select(neg_d, d, bool(b0 & 0x80));
+
+    reg_f[2][0] = select(neg_d, d, bool(b1 & 0x01));
+    reg_f[2][1] = select(neg_d, d, bool(b1 & 0x02));
+    reg_f[2][2] = select(neg_d, d, bool(b1 & 0x04));
+    reg_f[2][3] = select(neg_d, d, bool(b1 & 0x08));
+    reg_f[3][0] = select(neg_d, d, bool(b1 & 0x10));
+    reg_f[3][1] = select(neg_d, d, bool(b1 & 0x20));
+    reg_f[3][2] = select(neg_d, d, bool(b1 & 0x40));
+    reg_f[3][3] = select(neg_d, d, bool(b1 & 0x80));
+
+    reg = (type4x4) reg_f;
+}
+
+template <typename type4>
+void dequantize_q1_0_t4(device const block_q1_0 * xb, short il, thread type4 & reg) {
+    const float d = xb->d;
+    const float neg_d = -d;
+    const int base = il * 4;
+    const uint8_t byte = xb->qs[base / 8];
+    const int s = base % 8;
+
+    float4 reg_f;
+    reg_f[0] = select(neg_d, d, bool((byte >> (s    )) & 1));
+    reg_f[1] = select(neg_d, d, bool((byte >> (s + 1)) & 1));
+    reg_f[2] = select(neg_d, d, bool((byte >> (s + 2)) & 1));
+    reg_f[3] = select(neg_d, d, bool((byte >> (s + 3)) & 1));
+
+    reg = (type4) reg_f;
+}
+
 template <typename type4x4>
 void dequantize_q4_0(device const block_q4_0 * xb, short il, thread type4x4 & reg) {
     device const uint16_t * qs = ((device const uint16_t *)xb + 1);
@@ -152,6 +202,23 @@ void dequantize_q4_0_t4(device const block_q4_0 * xb, short il, thread type4 & r
     }
 }
 
+void quantize_q1_0(device const float * src, device block_q1_0 & dst) {
+    float sum_abs = 0.0f;
+    for (int j = 0; j < QK1_0; j++) {
+        sum_abs += fabs(src[j]);
+    }
+    dst.d = sum_abs / QK1_0;
+
+    for (int j = 0; j < QK1_0 / 8; j++) {
+        dst.qs[j] = 0;
+    }
+    for (int j = 0; j < QK1_0; j++) {
+        if (src[j] >= 0.0f) {
+            dst.qs[j / 8] |= (1 << (j % 8));
+        }
+    }
+}
+
 void quantize_q4_0(device const float * src, device block_q4_0 & dst) {
 #pragma METAL fp math_mode(safe)
     float amax = 0.0f; // absolute max
@@ -1110,6 +1177,15 @@ kernel void kernel_unary_impl(
         if (FC_OP == OP_UNARY_NUM_TRUNC) {
             dst_ptr[i0] = (T) trunc(x);
         }
+
+        if (FC_OP == OP_UNARY_NUM_XIELU) {
+            const TC xi      = x;
+            const TC gate    = TC(xi > TC(0.0f));
+            const TC clamped = fmin(xi, TC(args.val));
+            const TC y_pos   = TC(args.scale) * xi * xi + TC(args.bias) * xi;
+            const TC y_neg   = (exp(clamped) - TC(1.0f) - xi) * TC(args.slope) + TC(args.bias) * xi;
+            dst_ptr[i0] = (T) (gate * y_pos + (TC(1.0f) - gate) * y_neg);
+        }
     }
 
 #undef FC_OP
@@ -3116,6 +3192,35 @@ kernel void kernel_group_norm_f32(
     }
 }
 
+// Q1_0 dot product: dot = d * (2 * Σ(yl[i] where bit=1) - sumy)
+inline float block_q_n_dot_y(device const block_q1_0 * qb_curr, float sumy, thread float * yl, int il) {
+    device const uint8_t * qs = qb_curr->qs + il / 8;
+    const uint8_t b0 = qs[0];
+    const uint8_t b1 = qs[1];
+
+    float acc = 0.0f;
+
+    acc += select(0.0f, yl[ 0], bool(b0 & 0x01));
+    acc += select(0.0f, yl[ 1], bool(b0 & 0x02));
+    acc += select(0.0f, yl[ 2], bool(b0 & 0x04));
+    acc += select(0.0f, yl[ 3], bool(b0 & 0x08));
+    acc += select(0.0f, yl[ 4], bool(b0 & 0x10));
+    acc += select(0.0f, yl[ 5], bool(b0 & 0x20));
+    acc += select(0.0f, yl[ 6], bool(b0 & 0x40));
+    acc += select(0.0f, yl[ 7], bool(b0 & 0x80));
+
+    acc += select(0.0f, yl[ 8], bool(b1 & 0x01));
+    acc += select(0.0f, yl[ 9], bool(b1 & 0x02));
+    acc += select(0.0f, yl[10], bool(b1 & 0x04));
+    acc += select(0.0f, yl[11], bool(b1 & 0x08));
+    acc += select(0.0f, yl[12], bool(b1 & 0x10));
+    acc += select(0.0f, yl[13], bool(b1 & 0x20));
+    acc += select(0.0f, yl[14], bool(b1 & 0x40));
+    acc += select(0.0f, yl[15], bool(b1 & 0x80));
+
+    return qb_curr->d * (2.0f * acc - sumy);
+}
+
 // function for calculate inner product between half a q4_0 block and 16 floats (yl), sumy is SUM(yl[i])
 // il indicates where the q4 quants begin (0 or QK4_0/4)
 // we assume that the yl's have been multiplied with the appropriate scale factor
@@ -3337,6 +3442,85 @@ void mul_vec_q_n_f32_impl(
     }
 }
 
+template<int nr0, typename args_t>
+void kernel_mul_mv_q1_0_f32_impl(
+        args_t args,
+        device const char * src0,
+        device const char * src1,
+        device       char * dst,
+        threadgroup  char * shmem,
+        uint3  tgpig,
+        ushort tiisg,
+        ushort sgitg) {
+    const short NSG = FC_mul_mv_nsg;
+
+    const int nb = args.ne00/QK1_0;
+
+    const int r0 = tgpig.x;
+    const int r1 = tgpig.y;
+    const int im = tgpig.z;
+
+    const int first_row = (r0 * NSG + sgitg) * nr0;
+
+    const uint i12 = im%args.ne12;
+    const uint i13 = im/args.ne12;
+
+    const uint64_t offset1 = r1*args.nb11 + (i12)*args.nb12 + (i13)*args.nb13;
+
+    device const float * y = (device const float *) (src1 + offset1);
+
+    device const block_q1_0 * ax[nr0];
+    for (int row = 0; row < nr0; ++row) {
+        const uint64_t offset0 = (first_row + row)*args.nb01 + (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03;
+        ax[row] = (device const block_q1_0 *) ((device char *) src0 + offset0);
+    }
+
+    float yl[16];
+    float sumf[nr0] = {0.f};
+
+    const short ix = (tiisg/8);
+    const short il = (tiisg%8)*16;
+
+    device const float * yb = y + ix*QK1_0 + il;
+
+    for (int ib = ix; ib < nb; ib += N_SIMDWIDTH/8) {
+        float sumy = 0.f;
+
+        FOR_UNROLL (short i = 0; i < 16; i++) {
+            yl[i] = yb[i];
+            sumy += yb[i];
+        }
+
+        FOR_UNROLL (short row = 0; row < nr0; row++) {
+            sumf[row] += block_q_n_dot_y(ax[row] + ib, sumy, yl, il);
+        }
+
+        yb += QK1_0 * (N_SIMDWIDTH/8);
+    }
+
+    device float * dst_f32 = (device float *) dst + (uint64_t)im*args.ne0*args.ne1 + (uint64_t)r1*args.ne0;
+
+    for (int row = 0; row < nr0; ++row) {
+        const float tot = simd_sum(sumf[row]);
+
+        if (tiisg == 0 && first_row + row < args.ne01) {
+            dst_f32[first_row + row] = tot;
+        }
+    }
+}
+
+[[host_name("kernel_mul_mv_q1_0_f32")]]
+kernel void kernel_mul_mv_q1_0_f32(
+        constant ggml_metal_kargs_mul_mv & args,
+        device const char * src0,
+        device const char * src1,
+        device       char * dst,
+        uint3  tgpig[[threadgroup_position_in_grid]],
+        ushort tiisg[[thread_index_in_simdgroup]],
+        ushort sgitg[[simdgroup_index_in_threadgroup]]) {
+    kernel_mul_mv_q1_0_f32_impl<N_R0_Q1_0, constant ggml_metal_kargs_mul_mv &>(args, src0, src1, dst, nullptr, tgpig, tiisg, sgitg);
+}
+
 kernel void kernel_mul_mv_q4_0_f32(
         constant ggml_metal_kargs_mul_mv & args,
         device const char * src0,
@@ -3729,6 +3913,11 @@ template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_4")]]   kernel mul_mv_ext_q4
 template [[host_name("kernel_mul_mv_ext_bf16_f32_r1_5")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, bfloat4,      4,  dequantize_bf16_t4>;
 #endif
 
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q1_0,   128, dequantize_q1_0_t4>;
+template [[host_name("kernel_mul_mv_ext_q1_0_f32_r1_5")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<5, block_q1_0,   128, dequantize_q1_0_t4>;
+
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_2")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<2, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_3")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<3, block_q4_0,   32, dequantize_q4_0_t4>;
 template [[host_name("kernel_mul_mv_ext_q4_0_f32_r1_4")]]   kernel mul_mv_ext_q4_f32_t kernel_mul_mv_ext_q4_f32_disp<4, block_q4_0,   32, dequantize_q4_0_t4>;
@@ -5058,6 +5247,40 @@ kernel void kernel_upscale_bicubic_f32(
     }
 }
 
+kernel void kernel_roll_f32(
+    constant ggml_metal_kargs_roll & args,
+    device  const char * src0,
+    device        char * dst,
+    uint3 tgpig[[threadgroup_position_in_grid]],
+    uint3 tpitg[[thread_position_in_threadgroup]],
+    uint3   ntg[[threads_per_threadgroup]]) {
+
+    const int64_t i3 = tgpig.z;
+    const int64_t i2 = tgpig.y;
+    const int64_t i1 = tgpig.x;
+
+    device const float * src0_ptr = (device const float *) src0;
+    device       float * dst_ptr  = (device       float *) dst;
+
+    for (int i0 = tpitg.x; i0 < args.ne0; i0 += ntg.x) {
+        // apply shifts and wrap around
+        int64_t i00 = i0 - args.s0;
+        int64_t i01 = i1 - args.s1;
+        int64_t i02 = i2 - args.s2;
+        int64_t i03 = i3 - args.s3;
+
+        if (i00 < 0) { i00 += args.ne00; } else if (i00 >= args.ne00) { i00 -= args.ne00; }
+        if (i01 < 0) { i01 += args.ne01; } else if (i01 >= args.ne01) { i01 -= args.ne01; }
+        if (i02 < 0) { i02 += args.ne02; } else if (i02 >= args.ne02) { i02 -= args.ne02; }
+        if (i03 < 0) { i03 += args.ne03; } else if (i03 >= args.ne03) { i03 -= args.ne03; }
+
+        int64_t src_idx = i03*args.ne02*args.ne01*args.ne00 + i02*args.ne01*args.ne00 + i01*args.ne00 + i00;
+        int64_t dst_idx = i3 *args.ne2 *args.ne1 *args.ne0  + i2 *args.ne1 *args.ne0  + i1 *args.ne0  + i0;
+
+        dst_ptr[dst_idx] = src0_ptr[src_idx];
+    }
+}
+
 kernel void kernel_pad_f32(
     constant ggml_metal_kargs_pad & args,
     device  const char * src0,
@@ -7133,6 +7356,7 @@ kernel void kernel_cpy_f32_q(
 typedef decltype(kernel_cpy_f32_q<QK8_0,  block_q8_0,  quantize_q8_0>)  cpy_f_q_t;
 
 template [[host_name("kernel_cpy_f32_q8_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK8_0,  block_q8_0,   quantize_q8_0>;
+template [[host_name("kernel_cpy_f32_q1_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK1_0,  block_q1_0,   quantize_q1_0>;
 template [[host_name("kernel_cpy_f32_q4_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK4_0,  block_q4_0,   quantize_q4_0>;
 template [[host_name("kernel_cpy_f32_q4_1")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK4_1,  block_q4_1,   quantize_q4_1>;
 template [[host_name("kernel_cpy_f32_q5_0")]]   kernel cpy_f_q_t kernel_cpy_f32_q<QK5_0,  block_q5_0,   quantize_q5_0>;
@@ -7173,12 +7397,14 @@ kernel void kernel_cpy_q_f32(
 
 typedef decltype(kernel_cpy_q_f32<float4x4, block_q4_0, 2, dequantize_q4_0>) cpy_q_f_t;
 
+template [[host_name("kernel_cpy_q1_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q1_0, 8, dequantize_q1_0>;
 template [[host_name("kernel_cpy_q4_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q4_0, 2, dequantize_q4_0>;
 template [[host_name("kernel_cpy_q4_1_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q4_1, 2, dequantize_q4_1>;
 template [[host_name("kernel_cpy_q5_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q5_0, 2, dequantize_q5_0>;
 template [[host_name("kernel_cpy_q5_1_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q5_1, 2, dequantize_q5_1>;
 template [[host_name("kernel_cpy_q8_0_f32")]] kernel cpy_q_f_t kernel_cpy_q_f32<float4x4, block_q8_0, 2, dequantize_q8_0>;
 
+template [[host_name("kernel_cpy_q1_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q1_0, 8, dequantize_q1_0>;
 template [[host_name("kernel_cpy_q4_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q4_0, 2, dequantize_q4_0>;
 template [[host_name("kernel_cpy_q4_1_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q4_1, 2, dequantize_q4_1>;
 template [[host_name("kernel_cpy_q5_0_f16")]] kernel cpy_q_f_t kernel_cpy_q_f32<half4x4, block_q5_0, 2, dequantize_q5_0>;
@@ -9080,7 +9306,137 @@ constant bool FC_mul_mm_bc_inp [[function_constant(FC_MUL_MM + 0)]];
 constant bool FC_mul_mm_bc_out [[function_constant(FC_MUL_MM + 1)]];
 
 // each block_q contains 16*nl weights
-template<typename S0, typename S0_4x4, typename S0_8x8, typename S1, typename S1_2x4, typename S1_8x8, typename block_q, short nl, void (*dequantize_func)(device const block_q *, short, thread S0_4x4 &), typename T0, typename T0_4x4, typename T1, typename T1_2x4>
+#ifdef GGML_METAL_HAS_TENSOR
+template<
+    typename SA, typename SA_4x4, typename SA_8x8,
+    typename SB, typename SB_2x4, typename SB_8x8,
+    typename block_q, short nl, void (*dequantize_func)(device const block_q *, short, thread SA_4x4 &),
+    typename T0, typename T0_4x4, typename T1, typename T1_2x4>
+kernel void kernel_mul_mm(
+        constant ggml_metal_kargs_mul_mm & args,
+        device const char * srcA,
+        device const char * srcB,
+        device       char * dst,
+        threadgroup  char * shmem [[threadgroup(0)]],
+        uint3  tgpig [[threadgroup_position_in_grid]],
+        ushort tiitg [[thread_index_in_threadgroup]],
+        ushort sgitg [[simdgroup_index_in_threadgroup]]) {
+    (void) sgitg;
+
+    // Matrix dimensions: A(M,K) x B(K,N) -> C(M,N)
+    const int K = args.ne00;
+    const int M = args.ne0;
+    const int N = args.ne1;
+
+    // Batch dimension handling
+    const int im = tgpig.z;
+    const int i12 = im % args.ne12;
+    const int i13 = im / args.ne12;
+
+    // Batch offsets for srcA and srcB
+    const uint64_t offset0 = (i12/args.r2)*args.nb02 + (i13/args.r3)*args.nb03;
+
+    // Tile dimensions
+    constexpr int NRB = SZ_SIMDGROUP * N_MM_BLOCK_X * N_MM_SIMD_GROUP_X;
+    constexpr int NRA = SZ_SIMDGROUP * N_MM_BLOCK_Y * N_MM_SIMD_GROUP_Y;
+
+    // Tile offsets in output matrix
+    const int ra = tgpig.y * NRA;
+    const int rb = tgpig.x * NRB;
+
+    // Threadgroup memory for dequantized A tile only
+    threadgroup SA * sa = (threadgroup SA *)(shmem);
+
+    // Work-item count for A loading
+    constexpr int A_WORK_ITEMS = NRA * N_MM_NK;
+    constexpr int NUM_THREADS = N_SIMDWIDTH * N_MM_SIMD_GROUP_X * N_MM_SIMD_GROUP_Y;
+
+    // tA wraps threadgroup memory
+    auto tA = tensor(sa, dextents<int32_t, 2>(N_MM_NK_TOTAL, NRA));
+
+    // tB wraps device memory directly
+    device T1 * ptrB = (device T1 *)(srcB + args.nb12*i12 + args.nb13*i13);
+    const int strideB = args.nb11 / sizeof(T1);
+    auto tB = tensor(ptrB, dextents<int32_t, 2>(K, N), array<int, 2>({1, strideB}));
+
+    // Configure matmul operation
+    mpp::tensor_ops::matmul2d<
+        mpp::tensor_ops::matmul2d_descriptor(
+            NRB, NRA, N_MM_NK_TOTAL, false, true, true,
+            mpp::tensor_ops::matmul2d_descriptor::mode::multiply_accumulate),
+        execution_simdgroups<N_MM_SIMD_GROUP_X * N_MM_SIMD_GROUP_Y>> mm;
+
+    auto cT = mm.get_destination_cooperative_tensor<decltype(tB), decltype(tA), float>();
+
+    // Accumulate partial results over K dimension
+    for (int loop_k = 0; loop_k < K; loop_k += N_MM_NK_TOTAL) {
+        // === PHASE 1: Dequantization of A into threadgroup memory ===
+        for (int work = tiitg; work < A_WORK_ITEMS; work += NUM_THREADS) {
+            const int row = work / N_MM_NK;
+            const int k_chunk = work % N_MM_NK;
+            const int k_pos = loop_k + k_chunk * 16;
+            const short k_base = k_chunk * 16;
+
+            // Bounds check: skip device read if row is out of matrix bounds
+            if (ra + row < M) {
+                if (is_same<T0_4x4, block_q>::value && FC_mul_mm_bc_inp) {
+                    // Element-wise reads when K is not aligned (nb01 not aligned for half4x4/float4x4).
+                    // MSL spec Table 2.5: half4x4 requires 8-byte alignment. When K is odd,
+                    // nb01 = K*2 is not 8-byte aligned, so odd-row pointers are misaligned.
+                    // Mirrors the legacy kernel's existing guard.
+                    device const T0 * row_ptr = (device const T0 *)(srcA + args.nb01 * (ra + row) + offset0);
+
+                    FOR_UNROLL (short i = 0; i < 16; i++) {
+                        sa[row * N_MM_NK_TOTAL + (k_base + i)] = (k_pos + i < K) ? (SA) row_ptr[k_pos + i] : (SA)0;
+                    }
+                } else {
+                    const int block_idx = k_pos / (16 * nl);
+                    const short il = (k_pos / 16) % nl;
+
+                    device const block_q * row_ptr = (device const block_q *)(srcA + args.nb01 * (ra + row) + offset0);
+
+                    SA_4x4 temp_a;
+                    dequantize_func(row_ptr + block_idx, il, temp_a);
+
+                    FOR_UNROLL (short i = 0; i < 16; i++) {
+                        // Zero-pad A for K positions beyond valid range (handles partial K iterations)
+                        sa[row * N_MM_NK_TOTAL + (k_base + i)] = (k_pos + i < K) ? temp_a[i/4][i%4] : (SA)0;
+                    }
+                }
+            } else {
+                // Zero-pad rows beyond matrix bounds
+                FOR_UNROLL (short i = 0; i < 16; i++) {
+                    sa[row * N_MM_NK_TOTAL + (k_base + i)] = (SA)0;
+                }
+            }
+        }
+
+        threadgroup_barrier(mem_flags::mem_threadgroup);
+
+        // === PHASE 2: Tensor matmul ===
+        auto mA = tA.slice(0, 0);
+        auto mB = tB.slice(loop_k, rb);
+
+        mm.run(mB, mA, cT);
+
+        threadgroup_barrier(mem_flags::mem_threadgroup);
+    }
+
+    // Store result tile to output matrix (with batch offset)
+    // cT.store handles bounds checking via tD's extents (M, N)
+    device float * dstBatch = (device float *)dst + im * N * M;
+
+    auto tD = tensor(dstBatch, dextents<int32_t, 2>(M, N), array<int, 2>({1, M}));
+    cT.store(tD.slice(ra, rb));
+}
+
+#else
+
+template<
+    typename S0, typename S0_4x4, typename S0_8x8,
+    typename S1, typename S1_2x4, typename S1_8x8,
+    typename block_q, short nl, void (*dequantize_func)(device const block_q *, short, thread S0_4x4 &),
+    typename T0, typename T0_4x4, typename T1, typename T1_2x4>
 kernel void kernel_mul_mm(
         constant ggml_metal_kargs_mul_mm & args,
         device const char * src0,
@@ -9094,10 +9450,6 @@ kernel void kernel_mul_mm(
     threadgroup S0 * sa = (threadgroup S0 *)(shmem);
     threadgroup S1 * sb = (threadgroup S1 *)(shmem + 4096);
 
-#ifdef GGML_METAL_HAS_TENSOR
-    threadgroup float * sc = (threadgroup float *)(shmem);
-#endif
-
     constexpr int NR0 = 64;
     constexpr int NR1 = 32;
 
@@ -9137,7 +9489,6 @@ kernel void kernel_mul_mm(
         + args.nb11*(r1 + lr1)
         + args.nb10*iy);
 
-#ifndef GGML_METAL_HAS_TENSOR
     S0_8x8 ma[4];
     S1_8x8 mb[2];
 
@@ -9146,19 +9497,8 @@ kernel void kernel_mul_mm(
     for (short i = 0; i < 8; i++){
         mc[i] = make_filled_simdgroup_matrix<float, 8>(0.f);
     }
-#else
-    auto tA = tensor<threadgroup S0, dextents<int32_t, 2>, tensor_inline>(sa, dextents<int32_t, 2>(NK,  NR0));
-    auto tB = tensor<threadgroup S1, dextents<int32_t, 2>, tensor_inline>(sb, dextents<int32_t, 2>(NR1, NK ));
-
-    mpp::tensor_ops::matmul2d<
-        mpp::tensor_ops::matmul2d_descriptor(NR1, NR0, NK, false, true, false, mpp::tensor_ops::matmul2d_descriptor::mode::multiply_accumulate),
-        execution_simdgroups<4>> mm;
-
-    auto cT = mm.get_destination_cooperative_tensor<decltype(tA), decltype(tB), float>();
-#endif
 
     for (int loop_k = 0; loop_k < args.ne00; loop_k += NK) {
-#ifndef GGML_METAL_HAS_TENSOR
         // load data and store to threadgroup memory
         if (is_same<T0_4x4, block_q>::value && FC_mul_mm_bc_inp) {
             threadgroup_barrier(mem_flags::mem_threadgroup);
@@ -9228,66 +9568,6 @@ kernel void kernel_mul_mm(
 
             *(threadgroup S1_2x4 *)(sb + 64*ib + 8*ly) = (S1_2x4)(*((device T1_2x4 *) y));
         }
-#else
-        // load data and store to threadgroup memory
-        if (is_same<T0_4x4, block_q>::value && FC_mul_mm_bc_inp) {
-            threadgroup_barrier(mem_flags::mem_threadgroup);
-
-            // no need for dequantization
-            for (short i = 0; i < 16; i++) {
-                const short sx = 2*il0 + i/8;
-                const short sy = (tiitg/NL0)/8;
-
-                const short lx = i%8;
-                const short ly = (tiitg/NL0)%8;
-                //const short lx = (tiitg/NL0)%8;
-                //const short ly = i%8;
-
-                *(sa + NK*(8*sy + ly) + 8*sx + lx) = loop_k + 16*il + i < args.ne00 ? *((device T0 *) x + i) : 0;
-            }
-        } else {
-            S0_4x4 temp_a;
-            dequantize_func(x, il, temp_a);
-
-            threadgroup_barrier(mem_flags::mem_threadgroup);
-
-            FOR_UNROLL (short i = 0; i < 16; i++) {
-                const short sx = 2*il0 + i/8;
-                const short sy = (tiitg/NL0)/8;
-
-                const short lx = i%8;
-                const short ly = (tiitg/NL0)%8;
-                //const short lx = (tiitg/NL0)%8;
-                //const short ly = i%8;
-
-                *(sa + NK*(8*sy + ly) + 8*sx + lx) = temp_a[i/4][i%4];
-            }
-        }
-
-        if (FC_mul_mm_bc_inp) {
-            for (short i = 0; i < 8; ++i) {
-                const short sx = (tiitg%NL1);
-                const short sy = (tiitg/NL1)/8;
-
-                const short lx = i;
-                const short ly = (tiitg/NL1)%8;
-                //const short lx = (tiitg/NL1)%8;
-                //const short ly = i;
-
-                *(sb + NK*(8*sy + ly) + 8*sx + lx) = loop_k + iy + i < args.ne00 ? (S1) *((device T1 *) y + i) : 0;
-            }
-        } else {
-            const short sx = (tiitg%NL1);
-            const short sy = (tiitg/NL1)/8;
-
-            //const short lx = i;
-            const short ly = (tiitg/NL1)%8;
-            //const short lx = (tiitg/NL1)%8;
-            //const short ly = i;
-
-            *(threadgroup S1_2x4 *)(sb + NK*(8*sy + ly) + 8*sx) = (S1_2x4)(*((device T1_2x4 *) y));
-        }
-#endif
 
         il = (il + 2 < nl) ? il + 2 : il % 2;
         x  = (il < 2) ? x + (2 + nl - 1)/nl : x;
@@ -9296,7 +9576,6 @@ kernel void kernel_mul_mm(
 
         threadgroup_barrier(mem_flags::mem_threadgroup);
 
-#ifndef GGML_METAL_HAS_TENSOR
         // load matrices from threadgroup memory and conduct outer products
         threadgroup const S0 * lsma = (sa + 4*64*(sgitg%2));
         threadgroup const S1 * lsmb = (sb + 2*64*(sgitg/2));
@@ -9323,24 +9602,10 @@ kernel void kernel_mul_mm(
             lsma += 8*64;
             lsmb += 4*64;
         }
-#else
-        auto sA = tA.slice(0, 0);
-        auto sB = tB.slice(0, 0);
-
-        mm.run(sB, sA, cT);
-#endif
     }
 
     if (!FC_mul_mm_bc_out || (r0 + NR0 <= args.ne0 && r1 + NR1 <= args.ne1)) {
         // if no bounds checks on the output are needed, we can directly write to device memory
-#ifdef GGML_METAL_HAS_TENSOR
-        device float * C = (device float *) dst +
-            r0 + \
-            r1 * args.ne0 + im*args.ne1*args.ne0;
-
-        auto tC = tensor<device float, dextents<int32_t, 2>, tensor_inline>(C, dextents<int32_t, 2>(args.ne0, NR1));
-        cT.store(tC);
-#else
         device float * C = (device float *) dst +
             (r0 + 32*(sgitg &  1)) + \
             (r1 + 16*(sgitg >> 1)) * args.ne0 + im*args.ne1*args.ne0;
@@ -9348,21 +9613,15 @@ kernel void kernel_mul_mm(
         for (short i = 0; i < 8; i++) {
             simdgroup_store(mc[i], C + 8*(i%4) + 8*args.ne0*(i/4), args.ne0, 0, false);
         }
-#endif
     } else {
         // block is smaller than 64x32, we should avoid writing data outside of the matrix
         threadgroup_barrier(mem_flags::mem_threadgroup);
 
         threadgroup float * temp_str = ((threadgroup float *) shmem) + 32*(sgitg&1) + (16*(sgitg >> 1))*NR0;
 
-#ifdef GGML_METAL_HAS_TENSOR
-        auto tC = tensor<threadgroup float, dextents<int32_t, 2>, tensor_inline>(sc, dextents<int32_t, 2>(NR0, NR1));
-        cT.store(tC);
-#else
         for (short i = 0; i < 8; i++) {
             simdgroup_store(mc[i], temp_str + 8*(i%4) + 8*NR0*(i/4), NR0, 0, false);
         }
-#endif
 
         threadgroup_barrier(mem_flags::mem_threadgroup);
 
@@ -9388,6 +9647,8 @@ kernel void kernel_mul_mm(
     }
 }
 
+#endif // GGML_METAL_HAS_TENSOR
+
 template<short ne20> // n_expert_used
 kernel void kernel_mul_mm_id_map0(
         constant ggml_metal_kargs_mul_mm_id_map0 & args,
@@ -9563,7 +9824,7 @@ kernel void kernel_mul_mm_id(
 
                 const short ib = 8*sx + sy;
 
-                *(sa + 64*ib + 8*ly + lx) = loop_k + 16*il + i < args.ne00 ? *((device T0 *) x + i) : 0;
+                *(sa + 64*ib + 8*ly + lx) = loop_k + 16*il + i < args.ne00 ? (S0) *((device T0 *) x + i) : (S0) 0;
             }
         } else {
             S0_4x4 temp_a;
@@ -9776,6 +10037,7 @@ template [[host_name("kernel_get_rows_bf16")]] kernel get_rows_f_t kernel_get_ro
 
 typedef decltype(kernel_get_rows_q<block_q4_0, 2, dequantize_q4_0>) get_rows_q_t;
 
+template [[host_name("kernel_get_rows_q1_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q1_0,    8, dequantize_q1_0>;
 template [[host_name("kernel_get_rows_q4_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q4_0,    2, dequantize_q4_0>;
 template [[host_name("kernel_get_rows_q4_1")]]    kernel get_rows_q_t kernel_get_rows_q<block_q4_1,    2, dequantize_q4_1>;
 template [[host_name("kernel_get_rows_q5_0")]]    kernel get_rows_q_t kernel_get_rows_q<block_q5_0,    2, dequantize_q5_0>;
@@ -9838,6 +10100,7 @@ template [[host_name("kernel_mul_mm_f16_f32")]]     kernel mul_mm_t kernel_mul_m
 #if defined(GGML_METAL_HAS_BF16)
 template [[host_name("kernel_mul_mm_bf16_f32")]]    kernel mul_mm_t kernel_mul_mm<bfloat, bfloat4x4, simdgroup_bfloat8x8, bfloat, bfloat2x4, simdgroup_bfloat8x8, bfloat4x4,     1,     dequantize_bf16,    bfloat, bfloat4x4, float, float2x4>;
 #endif
+template [[host_name("kernel_mul_mm_q1_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q4_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q4_1_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_q5_0_f32")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  float, float2x4>;
@@ -9861,6 +10124,7 @@ template [[host_name("kernel_mul_mm_iq4_xs_f32")]]  kernel mul_mm_t kernel_mul_m
 
 template [[host_name("kernel_mul_mm_f32_f16")]]     kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   float4x4,      1,     dequantize_f32,     float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_f16_f16")]]     kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   half4x4,       1,     dequantize_f16,     half,   half4x4,   half, half2x4>;
+template [[host_name("kernel_mul_mm_q1_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q4_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q4_1_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_q5_0_f16")]]    kernel mul_mm_t kernel_mul_mm<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  half, half2x4>;
@@ -9893,6 +10157,7 @@ template [[host_name("kernel_mul_mm_id_f16_f32")]]     kernel mul_mm_id kernel_m
 #if defined(GGML_METAL_HAS_BF16)
 template [[host_name("kernel_mul_mm_id_bf16_f32")]]    kernel mul_mm_id kernel_mul_mm_id<bfloat, bfloat4x4, simdgroup_bfloat8x8, bfloat, bfloat2x4, simdgroup_bfloat8x8, bfloat4x4,     1,     dequantize_bf16,    bfloat, bfloat4x4, float, float2x4>;
 #endif
+template [[host_name("kernel_mul_mm_id_q1_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q4_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q4_1_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  float, float2x4>;
 template [[host_name("kernel_mul_mm_id_q5_0_f32")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  float, float2x4>;
@@ -9916,6 +10181,7 @@ template [[host_name("kernel_mul_mm_id_iq4_xs_f32")]]  kernel mul_mm_id kernel_m
 
 template [[host_name("kernel_mul_mm_id_f32_f16")]]     kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   float4x4,      1,     dequantize_f32,     float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_f16_f16")]]     kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   half4x4,       1,     dequantize_f16,     half,   half4x4,   half, half2x4>;
+template [[host_name("kernel_mul_mm_id_q1_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q1_0,    8,     dequantize_q1_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q4_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_0,    2,     dequantize_q4_0,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q4_1_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q4_1,    2,     dequantize_q4_1,    float,  float4x4,  half, half2x4>;
 template [[host_name("kernel_mul_mm_id_q5_0_f16")]]    kernel mul_mm_id kernel_mul_mm_id<half,   half4x4,   simdgroup_half8x8,   half,   half2x4,   simdgroup_half8x8,   block_q5_0,    2,     dequantize_q5_0,    float,  float4x4,  half, half2x4>;
@@ -10070,6 +10336,7 @@ template [[host_name("kernel_mul_mv_id_bf16_f32_4")]]  kernel kernel_mul_mv_id_4
 
 template [[host_name("kernel_mul_mv_id_q8_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_q8_0_f32_impl<N_R0_Q8_0>>>;
 
+template [[host_name("kernel_mul_mv_id_q1_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<kernel_mul_mv_q1_0_f32_impl<N_R0_Q1_0>>>;
 template [[host_name("kernel_mul_mv_id_q4_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q4_0, N_R0_Q4_0>>>;
 template [[host_name("kernel_mul_mv_id_q4_1_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q4_1, N_R0_Q4_1>>>;
 template [[host_name("kernel_mul_mv_id_q5_0_f32")]]    kernel kernel_mul_mv_id_t kernel_mul_mv_id<mmv_fn<mul_vec_q_n_f32_impl<block_q5_0, N_R0_Q5_0>>>;
diff --git a/ggml/src/ggml-opencl/CMakeLists.txt b/ggml/src/ggml-opencl/CMakeLists.txt
index 540942b19..0a45a4daa 100644
--- a/ggml/src/ggml-opencl/CMakeLists.txt
+++ b/ggml/src/ggml-opencl/CMakeLists.txt
@@ -66,8 +66,6 @@ set(GGML_OPENCL_KERNELS
     diag
     div
     gelu
-    gemv_noshuffle_general
-    gemv_noshuffle
     get_rows
     glu
     group_norm
@@ -75,7 +73,6 @@ set(GGML_OPENCL_KERNELS
     im2col_f32
     im2col_f16
     mean
-    mul_mat_Ab_Bi_8x4
     mul_mv_f16_f16
     mul_mv_f16_f32_1row
     mul_mv_f16_f32_l4
@@ -90,10 +87,14 @@ set(GGML_OPENCL_KERNELS
     mul_mv_q4_1_f32_flat
     mul_mv_q4_k_f32
     mul_mv_q4_k_f32_flat
+    mul_mv_q5_k_f32
+    mul_mv_q5_k_f32_flat
     mul_mv_q6_k_f32
     mul_mv_q6_k_f32_flat
     mul_mv_q8_0_f32
     mul_mv_q8_0_f32_flat
+    mul_mv_iq4_nl_f32
+    mul_mv_iq4_nl_f32_flat
     mul_mv_mxfp4_f32
     mul_mv_mxfp4_f32_flat
     mul_mv_id_q4_0_f32_8x_flat
@@ -103,21 +104,34 @@ set(GGML_OPENCL_KERNELS
     mul_mv_id_mxfp4_f32_flat
     gemm_moe_mxfp4_f32
     gemv_moe_mxfp4_f32
+    gemm_moe_mxfp4_f32_ns
+    gemv_moe_mxfp4_f32_ns
+    moe_reorder_b
+    moe_sort_by_expert
     mul_mm_f32_f32_l4_lm
     mul_mm_f16_f32_l4_lm
     mul_mm_q4_0_f32_l4_lm
     mul_mm_q4_1_f32_l4_lm
     mul_mm_q8_0_f32_l4_lm
+    mul_mm_iq4_nl_f32_l4_lm
     mul_mm_q4_k_f32_l4_lm
+    mul_mm_q5_k_f32_l4_lm
     mul_mm_q6_k_f32_l4_lm
-    mul_mm_q8_0_f32_8x4
+    gemv_noshuffle_q4_0_f32
+    gemv_noshuffle_q4_0_f32_spec
+    gemm_noshuffle_q4_0_f32
     gemv_noshuffle_q4_1_f32
     gemm_noshuffle_q4_1_f32
-    gemv_noshuffle_general_q8_0_f32
+    gemv_noshuffle_iq4_nl_f32
+    gemm_noshuffle_iq4_nl_f32
+    gemv_noshuffle_q8_0_f32
+    gemm_noshuffle_q8_0_f32
     gemv_noshuffle_q4_k_f32
     gemm_noshuffle_q4_k_f32
     gemv_noshuffle_q6_k_f32
     gemm_noshuffle_q6_k_f32
+    gemv_noshuffle_q5_k_f32
+    gemm_noshuffle_q5_k_f32
     mul
     neg
     norm
diff --git a/ggml/src/ggml-opencl/ggml-opencl.cpp b/ggml/src/ggml-opencl/ggml-opencl.cpp
index 6f3fc5886..d344bde0f 100644
--- a/ggml/src/ggml-opencl/ggml-opencl.cpp
+++ b/ggml/src/ggml-opencl/ggml-opencl.cpp
@@ -389,6 +389,7 @@ struct ggml_backend_opencl_context {
     ADRENO_GPU_GEN adreno_gen;
 
     cl_int alignment;
+    size_t global_mem_size;
     size_t max_alloc_size;
     size_t max_workgroup_size;
     bool fp16_support;
@@ -416,6 +417,15 @@ struct ggml_backend_opencl_context {
     ggml_cl_buffer prealloc_src0;
     ggml_cl_buffer prealloc_src1;
 
+    // prealloc buffers for MoE router table preprocess
+    bool toggle_reorder = false;
+    ggml_cl_buffer prealloc_post_router;
+    ggml_cl_buffer prealloc_emap;
+    ggml_cl_buffer prealloc_hist;
+    ggml_cl_buffer prealloc_tile_offset;
+    ggml_cl_buffer prealloc_total_tiles;
+    ggml_cl_buffer prealloc_slot_counter;
+
     cl_program program_add;
     cl_program program_add_id;
     cl_program program_clamp;
@@ -531,6 +541,7 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_convert_block_q4_0, kernel_restore_block_q4_0;
     cl_kernel kernel_convert_block_q4_1, kernel_restore_block_q4_1;
     cl_kernel kernel_convert_block_mxfp4, kernel_convert_block_mxfp4_trans, kernel_restore_block_mxfp4, kernel_restore_block_mxfp4_trans;
+    cl_kernel kernel_convert_block_mxfp4_trans4_ns, kernel_restore_block_mxfp4_trans4_ns;
     cl_kernel kernel_convert_block_q8_0, kernel_restore_block_q8_0, kernel_restore_block_q8_0_trans;
     cl_kernel kernel_convert_block_q6_K_noshuffle, kernel_restore_block_q6_K_noshuffle;
     cl_kernel kernel_mul_mat_q4_0_f32_8x_flat;
@@ -541,16 +552,26 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_convert_block_q4_K_noshuffle;
     cl_kernel kernel_restore_block_q4_K_noshuffle;
     cl_kernel kernel_convert_block_q4_K, kernel_restore_block_q4_K;
+    cl_kernel kernel_convert_block_q5_K, kernel_restore_block_q5_K;
+    cl_kernel kernel_convert_block_q5_K_noshuffle;
+    cl_kernel kernel_restore_block_q5_K_noshuffle;
     cl_kernel kernel_convert_block_q6_K, kernel_restore_block_q6_K;
+    cl_kernel kernel_convert_block_iq4_nl, kernel_restore_block_iq4_nl;
+    cl_kernel kernel_convert_block_iq4_nl_noshuffle;
+    cl_kernel kernel_restore_block_iq4_nl_noshuffle;
     cl_kernel kernel_mul_mat_q4_0_f32_1d_8x_flat, kernel_mul_mat_q4_0_f32_1d_16x_flat;
     cl_kernel kernel_mul_mv_q4_1_f32;
     cl_kernel kernel_mul_mv_q4_1_f32_flat;
     cl_kernel kernel_mul_mv_q4_K_f32;
     cl_kernel kernel_mul_mv_q4_K_f32_flat;
+    cl_kernel kernel_mul_mv_q5_K_f32;
+    cl_kernel kernel_mul_mv_q5_K_f32_flat;
     cl_kernel kernel_mul_mv_q6_K_f32;
     cl_kernel kernel_mul_mv_q6_K_f32_flat;
     cl_kernel kernel_mul_mv_mxfp4_f32, kernel_mul_mv_mxfp4_f32_flat;
     cl_kernel kernel_mul_mv_q8_0_f32, kernel_mul_mv_q8_0_f32_flat;
+    cl_kernel kernel_mul_mv_iq4_nl_f32;
+    cl_kernel kernel_mul_mv_iq4_nl_f32_flat;
     cl_kernel kernel_solve_tri_f32;
     cl_kernel kernel_im2col_f32, kernel_im2col_f16;
     cl_kernel kernel_argsort_f32_i32;
@@ -577,6 +598,9 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_ssm_conv_f32_f32, kernel_ssm_conv_f32_f32_4;
     cl_kernel kernel_timestep_embedding;
     cl_kernel kernel_gemv_moe_mxfp4_f32, kernel_gemm_moe_mxfp4_f32;
+    cl_kernel kernel_gemv_moe_mxfp4_f32_ns, kernel_gemm_moe_mxfp4_f32_ns;
+    cl_kernel kernel_moe_reorder_b;
+    cl_kernel kernel_moe_histogram, kernel_moe_scan, kernel_moe_fill, kernel_moe_scatter;
     cl_kernel kernel_mul_mv_id_q4_0_f32_8x_flat;
     cl_kernel kernel_mul_mv_id_q8_0_f32, kernel_mul_mv_id_q8_0_f32_flat;
     cl_kernel kernel_mul_mv_id_mxfp4_f32;
@@ -587,7 +611,9 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_mul_mm_q4_1_f32_l4_lm;
     cl_kernel kernel_mul_mm_q8_0_f32_l4_lm;
     cl_kernel kernel_mul_mm_q4_k_f32_l4_lm;
+    cl_kernel kernel_mul_mm_q5_k_f32_l4_lm;
     cl_kernel kernel_mul_mm_q6_k_f32_l4_lm;
+    cl_kernel kernel_mul_mm_iq4_nl_f32_l4_lm;
 
     std::vector<ProfilingInfo> profiling_info;
 
@@ -706,26 +732,24 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_transpose_16_4x1;
 
     // Gemm and Gemv related programs, kernels, etc
-    cl_program program_CL_gemm;
-    cl_program program_CL_gemv_general;
-    cl_program program_CL_gemv_4096_1_11008;
-    cl_program program_CL_gemv_4096_1_4096;
-    cl_program program_CL_gemv_11008_1_4096;
-    cl_program program_CL_gemv_32000_1_4096;
-    cl_kernel CL_mul_mat_Ab_Bi_8x4;
-    cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general;
-    cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008;
-    cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096;
-    cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096;
-    cl_kernel CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096;
+    cl_kernel kernel_gemm_noshuffle_q4_0_f32;
+    cl_kernel kernel_gemv_noshuffle_q4_0_f32;
+    cl_kernel kernel_gemv_noshuffle_q4_0_f32_4096_1_11008;
+    cl_kernel kernel_gemv_noshuffle_q4_0_f32_4096_1_4096;
+    cl_kernel kernel_gemv_noshuffle_q4_0_f32_11008_1_4096;
+    cl_kernel kernel_gemv_noshuffle_q4_0_f32_32000_1_4096;
     cl_kernel kernel_gemv_noshuffle_q4_1_f32;
     cl_kernel kernel_gemm_noshuffle_q4_1_f32;
-    cl_kernel kernel_mul_mm_q8_0_f32_8x4;
-    cl_kernel CL_mul_mat_vec_q8_0_f32;
+    cl_kernel kernel_gemm_noshuffle_q8_0_f32;
+    cl_kernel kernel_gemv_noshuffle_q8_0_f32;
     cl_kernel kernel_gemv_noshuffle_q4_k_f32;
     cl_kernel kernel_gemm_noshuffle_q4_k_f32;
     cl_kernel kernel_gemv_noshuffle_q6_K_f32;
     cl_kernel kernel_gemm_noshuffle_q6_K_f32;
+    cl_kernel kernel_gemv_noshuffle_q5_k_f32;
+    cl_kernel kernel_gemm_noshuffle_q5_k_f32;
+    cl_kernel kernel_gemv_noshuffle_iq4_nl_f32;
+    cl_kernel kernel_gemm_noshuffle_iq4_nl_f32;
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
     void free() {
@@ -929,6 +953,8 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_restore_block_q4_1  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_1", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_mxfp4 = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4_trans", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_mxfp4_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_mxfp4_trans4_ns", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_mxfp4_trans4_ns = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4_trans4_ns", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_mxfp4_trans = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4_trans", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_mxfp4 = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_mxfp4", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q8_0  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q8_0", &err), err));
@@ -938,10 +964,18 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_restore_block_q4_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_K_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q5_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q5_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q5_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q5_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q5_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q5_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q5_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q5_K_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q6_K", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q6_K_noshuffle  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q6_K_noshuffle  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q6_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_iq4_nl = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_iq4_nl", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_iq4_nl = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_iq4_nl", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_iq4_nl_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_iq4_nl_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_iq4_nl_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_iq4_nl_noshuffle", &err), err));
         GGML_LOG_CONT(".");
     }
 
@@ -1249,6 +1283,39 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mv_q5_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q5_k_f32.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q5_K_f32 = clCreateKernel(prog, "kernel_mul_mv_q5_K_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mv_q5_k_f32_flat
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_q5_k_f32_flat.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_q5_k_f32_flat.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_q5_K_f32_flat = clCreateKernel(prog, "kernel_mul_mv_q5_K_f32_flat", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+    }
+
     // mul_mv_q6_k_f32
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1314,6 +1381,40 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mv_iq4_nl_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_iq4_nl_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_iq4_nl_f32.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_iq4_nl_f32 = clCreateKernel(prog, "kernel_mul_mv_iq4_nl_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // mul_mv_iq4_nl_f32_flat
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mv_iq4_nl_f32_flat.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mv_iq4_nl_f32_flat.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mv_iq4_nl_f32_flat = clCreateKernel(prog, "kernel_mul_mv_iq4_nl_f32_flat", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mv_mxfp4_f32
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1522,6 +1623,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mm_iq4_nl_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_iq4_nl_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_iq4_nl_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_iq4_nl_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_iq4_nl_f32_l4_lm", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_q4_k_f32_l4_lm
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -1556,6 +1674,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // mul_mm_q5_k_f32_l4_lm
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "mul_mm_q5_k_f32_l4_lm.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("mul_mm_q5_k_f32_l4_lm.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_mul_mm_q5_k_f32_l4_lm = clCreateKernel(prog, "kernel_mul_mm_q5_k_f32_l4_lm", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_f16_f32_kq_kqv
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -2438,21 +2573,22 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
                                        " -DSIMDGROUP_WIDTH=" +
                                        std::to_string(backend_ctx->adreno_wave_size);
         if (backend_ctx->has_vector_subgroup_broadcast) {
-            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
         }
 
 #ifdef GGML_OPENCL_EMBED_KERNELS
         const std::string kernel_src_CL_gemv_general {
-            #include "gemv_noshuffle_general.cl.h"
+            #include "gemv_noshuffle_q4_0_f32.cl.h"
         };
 #else
-        const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_general.cl");
+        const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_q4_0_f32.cl");
 #endif
 
-        backend_ctx->program_CL_gemv_general = build_program_from_source(
+        cl_program prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv_general.c_str(), CL_gemv_compile_opts);
 
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general = clCreateKernel(backend_ctx->program_CL_gemv_general, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
 
@@ -2466,20 +2602,21 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             " -DSIMDGROUP_WIDTH=" +
             std::to_string(backend_ctx->adreno_wave_size);
         if (backend_ctx->has_vector_subgroup_broadcast) {
-            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
         }
 
 #ifdef GGML_OPENCL_EMBED_KERNELS
         const std::string kernel_src_CL_gemv {
-            #include "gemv_noshuffle.cl.h"
+            #include "gemv_noshuffle_q4_0_f32_spec.cl.h"
         };
 #else
-        const std::string kernel_src_CL_gemv = read_file("gemv_noshuffle.cl");
+        const std::string kernel_src_CL_gemv = read_file("gemv_noshuffle_q4_0_f32_spec.cl");
 #endif
 
-        backend_ctx->program_CL_gemv_4096_1_4096 = build_program_from_source(
+        cl_program prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts);
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_4096_1_4096, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
 
         // Gemv 2048, 16384
@@ -2490,12 +2627,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             " -DSIMDGROUP_WIDTH=" +
             std::to_string(backend_ctx->adreno_wave_size);
         if (backend_ctx->has_vector_subgroup_broadcast) {
-            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
         }
 
-        backend_ctx->program_CL_gemv_4096_1_11008 = build_program_from_source(
+        prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts);
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008 = clCreateKernel(backend_ctx->program_CL_gemv_4096_1_11008, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_11008 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
 
         // Gemv 5504, 44032
@@ -2506,12 +2644,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             " -DSIMDGROUP_WIDTH=" +
             std::to_string(backend_ctx->adreno_wave_size);
         if (backend_ctx->has_vector_subgroup_broadcast) {
-            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
         }
 
-        backend_ctx->program_CL_gemv_11008_1_4096 = build_program_from_source(
+        prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts);
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_11008_1_4096, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_11008_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
 
         // Gemv 16000, 128000
@@ -2523,12 +2662,13 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
             std::to_string(backend_ctx->adreno_wave_size);
 
         if (backend_ctx->has_vector_subgroup_broadcast) {
-            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAT ";
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
         }
 
-        backend_ctx->program_CL_gemv_32000_1_4096 = build_program_from_source(
+        prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv.c_str(), CL_gemv_compile_opts);
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096 = clCreateKernel(backend_ctx->program_CL_gemv_32000_1_4096, "kernel_gemv_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_0_f32_32000_1_4096 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
 
@@ -2536,13 +2676,14 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
         const std::string kernel_src_CL_gemm {
-            #include "mul_mat_Ab_Bi_8x4.cl.h"
+            #include "gemm_noshuffle_q4_0_f32.cl.h"
         };
 #else
-        const std::string kernel_src_CL_gemm = read_file("mul_mat_Ab_Bi_8x4.cl");
+        const std::string kernel_src_CL_gemm = read_file("gemm_noshuffle_q4_0_f32.cl");
 #endif
-        backend_ctx->program_CL_gemm = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_CL_gemm.c_str(), compile_opts);
-        CL_CHECK((backend_ctx->CL_mul_mat_Ab_Bi_8x4 = clCreateKernel(backend_ctx->program_CL_gemm, "kernel_mul_mat_Ab_Bi_8x4", &err), err));
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_CL_gemm.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q4_0_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q4_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
 
@@ -2585,17 +2726,57 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // gemm_noshuffle_iq4_nl_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_iq4_nl_f32.cl.h"
+       };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_iq4_nl_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_iq4_nl_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_iq4_nl_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemv_noshuffle_iq4_nl_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_iq4_nl_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_iq4_nl_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_iq4_nl_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_iq4_nl_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // mul_mm_q8_0_f32_8x4
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
-        const std::string kernel_src_q8_8x4_gemm {
-            #include "mul_mm_q8_0_f32_8x4.cl.h"
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q8_0_f32.cl.h"
        };
 #else
-        const std::string kernel_src_q8_8x4_gemm = read_file("mul_mm_q8_0_f32_8x4.cl");
+        const std::string kernel_src = read_file("gemm_noshuffle_q8_0_f32.cl");
 #endif
-        backend_ctx->program_CL_gemm = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src_q8_8x4_gemm.c_str(), compile_opts);
-        CL_CHECK((backend_ctx->kernel_mul_mm_q8_0_f32_8x4 = clCreateKernel(backend_ctx->program_CL_gemm, "kernel_mul_mm_q8_0_f32_8x4", &err), err));
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q8_0_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q8_0_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
 
@@ -2611,16 +2792,16 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
 
 #ifdef GGML_OPENCL_EMBED_KERNELS
         const std::string kernel_src_CL_gemv_general {
-            #include "gemv_noshuffle_general_q8_0_f32.cl.h"
+            #include "gemv_noshuffle_q8_0_f32.cl.h"
         };
 #else
-        const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_general_q8_0_f32.cl");
+        const std::string kernel_src_CL_gemv_general = read_file("gemv_noshuffle_q8_0_f32.cl");
 #endif
 
         cl_program prog = build_program_from_source(
             backend_ctx->context, backend_ctx->device, kernel_src_CL_gemv_general.c_str(), CL_gemv_compile_opts);
 
-        CL_CHECK((backend_ctx->CL_mul_mat_vec_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q8_0_f32", &err), err));
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q8_0_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q8_0_f32", &err), err));
         CL_CHECK(clReleaseProgram(prog));
         GGML_LOG_CONT(".");
     }
@@ -2700,6 +2881,77 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // gemv_moe_mxfp4_f32_ns
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_moe_mxfp4_f32_ns.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_moe_mxfp4_f32_ns.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_moe_mxfp4_f32_ns = clCreateKernel(prog, "kernel_gemv_moe_mxfp4_f32_ns", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemm_moe_mxfp4_f32_ns
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_moe_mxfp4_f32_ns.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemm_moe_mxfp4_f32_ns.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemm_moe_mxfp4_f32_ns = clCreateKernel(prog, "kernel_gemm_moe_mxfp4_f32_ns", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // moe_reorder_b
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "moe_reorder_b.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("moe_reorder_b.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_moe_reorder_b = clCreateKernel(prog, "kernel_moe_reorder_b", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // moe_sort_by_expert
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "moe_sort_by_expert.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("moe_sort_by_expert.cl");
+#endif
+        cl_program prog =
+            build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_moe_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_moe_histogram = clCreateKernel(prog, "kernel_moe_histogram", &err), err));
+        CL_CHECK((backend_ctx->kernel_moe_scan = clCreateKernel(prog, "kernel_moe_scan", &err), err));
+        CL_CHECK((backend_ctx->kernel_moe_fill = clCreateKernel(prog, "kernel_moe_fill", &err), err));
+        CL_CHECK((backend_ctx->kernel_moe_scatter = clCreateKernel(prog, "kernel_moe_scatter", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     // gemv_noshuffle_q6_k_f32
     {
 #ifdef GGML_OPENCL_EMBED_KERNELS
@@ -2738,6 +2990,45 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q6_K_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q6_K_f32", &err), err));
         GGML_LOG_CONT(".");
     }
+
+    // gemv_noshuffle_q5_k_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q5_k_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q5_k_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q5_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemm_noshuffle_q5_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q5_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q5_k_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q5_k_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q5_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_LOG_CONT("\n");
 }
@@ -3096,6 +3387,9 @@ static ggml_backend_opencl_context * ggml_cl2_init(ggml_backend_dev_t dev) {
     backend_ctx->alignment = base_align_in_bits / 8u;
     GGML_LOG_INFO("ggml_opencl: mem base addr align: %u\n", backend_ctx->alignment);
 
+    clGetDeviceInfo(device, CL_DEVICE_GLOBAL_MEM_SIZE, sizeof(size_t), &backend_ctx->global_mem_size, NULL);
+    GGML_LOG_INFO("ggml_opencl: global mem size: %zu MB\n", backend_ctx->global_mem_size/1024/1024);
+
     clGetDeviceInfo(device, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(size_t), &backend_ctx->max_alloc_size, NULL);
     GGML_LOG_INFO("ggml_opencl: max mem alloc size: %zu MB\n", backend_ctx->max_alloc_size/1024/1024);
 
@@ -3448,13 +3742,12 @@ struct ggml_tensor_extra_cl_mxfp4 {
             CL_CHECK(clReleaseMemObject(e));
             e = nullptr;
         }
-        if (q != nullptr) {
+        if (q_img != nullptr) {
             CL_CHECK(clReleaseMemObject(q_img));
-            q = nullptr;
+            q_img = nullptr;
         }
-        // Currently, q_img and d_img are not used. They can be image1d_buffer_t
+        // Currently, e_img is not used. They can be image1d_buffer_t
         // that wraps around q and d to utilize image access path.
-        q_img = nullptr;
         e_img = nullptr;
         size_q = 0;
         size_e = 0;
@@ -3496,6 +3789,30 @@ struct ggml_tensor_extra_cl_q8_0 {
     }
 };
 
+struct ggml_tensor_extra_cl_iq4_nl {
+    cl_mem q = nullptr;
+    cl_mem q_img = nullptr;
+
+    cl_mem d = nullptr;
+    cl_mem d_img = nullptr;
+
+    size_t size_q = 0;
+    size_t size_d = 0;
+
+    ~ggml_tensor_extra_cl_iq4_nl() {
+        reset();
+    }
+
+    void reset() {
+        if (q != nullptr) { CL_CHECK(clReleaseMemObject(q)); q = nullptr; }
+        if (d != nullptr) { CL_CHECK(clReleaseMemObject(d)); d = nullptr; }
+        q_img = nullptr;
+        d_img = nullptr;
+        size_q = 0;
+        size_d = 0;
+    }
+};
+
 struct ggml_tensor_extra_cl_q4_K {
     // Quantized values
     cl_mem q = nullptr;
@@ -3530,29 +3847,32 @@ struct ggml_tensor_extra_cl_q4_K {
     }
 };
 
-struct ggml_tensor_extra_cl_q6_K {
+struct ggml_tensor_extra_cl_q5_K {
     // Lower 4 bits of quantized weights.
-    cl_mem ql = nullptr;
-    // Upper 2 bits of quantized weights.
+    cl_mem q  = nullptr;
+    // Upper 1 bit of quantized weights.
     cl_mem qh = nullptr;
     // Scales for each block.
     cl_mem s  = nullptr;
     // Scales for each super block.
     cl_mem d  = nullptr;
+    // Min for each super block.
+    cl_mem dm = nullptr;
 
-    size_t size_ql = 0;
+    size_t size_q  = 0;
     size_t size_qh = 0;
     size_t size_s  = 0;
     size_t size_d  = 0;
+    size_t size_dm = 0;
 
-    ~ggml_tensor_extra_cl_q6_K() {
+    ~ggml_tensor_extra_cl_q5_K() {
         reset();
     }
 
     void reset() {
-        if (ql != nullptr) {
-            CL_CHECK(clReleaseMemObject(ql));
-            ql = nullptr;
+        if (q != nullptr) {
+            CL_CHECK(clReleaseMemObject(q));
+            q = nullptr;
         }
         if (qh != nullptr) {
             CL_CHECK(clReleaseMemObject(qh));
@@ -3566,8 +3886,57 @@ struct ggml_tensor_extra_cl_q6_K {
             CL_CHECK(clReleaseMemObject(d));
             d = nullptr;
         }
+        if (dm != nullptr) {
+            CL_CHECK(clReleaseMemObject(dm));
+            dm = nullptr;
+        }
 
-        size_ql = 0;
+        size_q  = 0;
+        size_qh = 0;
+        size_s  = 0;
+        size_d  = 0;
+        size_dm = 0;
+    }
+};
+
+struct ggml_tensor_extra_cl_q6_K {
+    // Lower 4 bits of quantized weights.
+    cl_mem ql = nullptr;
+    // Upper 2 bits of quantized weights.
+    cl_mem qh = nullptr;
+    // Scales for each block.
+    cl_mem s  = nullptr;
+    // Scales for each super block.
+    cl_mem d  = nullptr;
+
+    size_t size_ql = 0;
+    size_t size_qh = 0;
+    size_t size_s  = 0;
+    size_t size_d  = 0;
+
+    ~ggml_tensor_extra_cl_q6_K() {
+        reset();
+    }
+
+    void reset() {
+        if (ql != nullptr) {
+            CL_CHECK(clReleaseMemObject(ql));
+            ql = nullptr;
+        }
+        if (qh != nullptr) {
+            CL_CHECK(clReleaseMemObject(qh));
+            qh = nullptr;
+        }
+        if (s != nullptr) {
+            CL_CHECK(clReleaseMemObject(s));
+            s = nullptr;
+        }
+        if (d != nullptr) {
+            CL_CHECK(clReleaseMemObject(d));
+            d = nullptr;
+        }
+
+        size_ql = 0;
         size_qh = 0;
         size_s  = 0;
         size_d  = 0;
@@ -3575,8 +3944,8 @@ struct ggml_tensor_extra_cl_q6_K {
 };
 
 //------------------------------------------------------------------------------
-// Backend API
-//------------------------------------------------------------------------------
+// Backend API
+//------------------------------------------------------------------------------
 
 //
 // backend
@@ -3944,7 +4313,9 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
                 return op->src[1]->type == GGML_TYPE_F32;
             } else if (op->src[0]->type == GGML_TYPE_Q4_0  || op->src[0]->type == GGML_TYPE_Q4_1 ||
                        op->src[0]->type == GGML_TYPE_MXFP4 ||
+                       op->src[0]->type == GGML_TYPE_IQ4_NL ||
                        op->src[0]->type == GGML_TYPE_Q4_K  ||
+                       op->src[0]->type == GGML_TYPE_Q5_K  ||
                        op->src[0]->type == GGML_TYPE_Q6_K) {
                 return op->src[1]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
             } else if (op->src[0]->type == GGML_TYPE_Q8_0) {
@@ -4062,6 +4433,8 @@ static ggml_backend_i ggml_backend_opencl_i = {
     /* .free                    = */ ggml_backend_opencl_free,
     /* .set_tensor_async        = */ NULL,  /* ggml_backend_opencl_set_tensor_async */
     /* .get_tensor_async        = */ NULL,  /* ggml_backend_opencl_get_tensor_async */
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,  /* ggml_backend_opencl_cpy_tensor_async */
     /* .synchronize             = */ ggml_backend_opencl_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -4139,6 +4512,12 @@ struct ggml_backend_opencl_buffer_context {
         for (ggml_tensor_extra_cl_q8_0 * e : temp_tensor_extras_q8_0_in_use) {
             delete e;
         }
+        for (ggml_tensor_extra_cl_iq4_nl * e : temp_tensor_extras_iq4_nl) {
+            delete e;
+        }
+        for (ggml_tensor_extra_cl_iq4_nl * e : temp_tensor_extras_iq4_nl_in_use) {
+            delete e;
+        }
         for (ggml_tensor_extra_cl_q4_K * e : temp_tensor_extras_q4_K) {
             delete e;
         }
@@ -4151,6 +4530,12 @@ struct ggml_backend_opencl_buffer_context {
         for (ggml_tensor_extra_cl_q6_K * e : temp_tensor_extras_q6_K_in_use) {
             delete e;
         }
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K) {
+            delete e;
+        }
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K_in_use) {
+            delete e;
+        }
     }
 
     ggml_tensor_extra_cl * ggml_opencl_alloc_temp_tensor_extra() {
@@ -4228,6 +4613,21 @@ struct ggml_backend_opencl_buffer_context {
         return extra;
     }
 
+    ggml_tensor_extra_cl_iq4_nl * ggml_opencl_alloc_temp_tensor_extra_iq4_nl() {
+        ggml_tensor_extra_cl_iq4_nl * extra;
+        if (temp_tensor_extras_iq4_nl.empty()) {
+            extra = new ggml_tensor_extra_cl_iq4_nl();
+        } else {
+            extra = temp_tensor_extras_iq4_nl.back();
+            temp_tensor_extras_iq4_nl.pop_back();
+        }
+
+        temp_tensor_extras_iq4_nl_in_use.push_back(extra);
+
+        extra->reset();
+        return extra;
+    }
+
     ggml_tensor_extra_cl_q4_K * ggml_opencl_alloc_temp_tensor_extra_q4_K() {
         ggml_tensor_extra_cl_q4_K * extra;
         if (temp_tensor_extras_q4_K.empty()) {
@@ -4243,6 +4643,21 @@ struct ggml_backend_opencl_buffer_context {
         return extra;
     }
 
+    ggml_tensor_extra_cl_q5_K * ggml_opencl_alloc_temp_tensor_extra_q5_K() {
+        ggml_tensor_extra_cl_q5_K * extra;
+        if (temp_tensor_extras_q5_K.empty()) {
+            extra = new ggml_tensor_extra_cl_q5_K();
+        } else {
+            extra = temp_tensor_extras_q5_K.back();
+            temp_tensor_extras_q5_K.pop_back();
+        }
+
+        temp_tensor_extras_q5_K_in_use.push_back(extra);
+
+        extra->reset();
+        return extra;
+    }
+
     ggml_tensor_extra_cl_q6_K * ggml_opencl_alloc_temp_tensor_extra_q6_K() {
         ggml_tensor_extra_cl_q6_K * extra;
         if (temp_tensor_extras_q6_K.empty()) {
@@ -4284,11 +4699,21 @@ struct ggml_backend_opencl_buffer_context {
         }
         temp_tensor_extras_q8_0_in_use.clear();
 
+        for (ggml_tensor_extra_cl_iq4_nl * e : temp_tensor_extras_iq4_nl_in_use) {
+            temp_tensor_extras_iq4_nl.push_back(e);
+        }
+        temp_tensor_extras_iq4_nl_in_use.clear();
+
         for (ggml_tensor_extra_cl_q4_K * e : temp_tensor_extras_q4_K_in_use) {
             temp_tensor_extras_q4_K.push_back(e);
         }
         temp_tensor_extras_q4_K_in_use.clear();
 
+        for (ggml_tensor_extra_cl_q5_K * e : temp_tensor_extras_q5_K_in_use) {
+            temp_tensor_extras_q5_K.push_back(e);
+        }
+        temp_tensor_extras_q5_K_in_use.clear();
+
         for (ggml_tensor_extra_cl_q6_K * e : temp_tensor_extras_q6_K_in_use) {
             temp_tensor_extras_q6_K.push_back(e);
         }
@@ -4310,8 +4735,12 @@ struct ggml_backend_opencl_buffer_context {
     std::vector<ggml_tensor_extra_cl_mxfp4 *> temp_tensor_extras_mxfp4_in_use;
     std::vector<ggml_tensor_extra_cl_q8_0 *> temp_tensor_extras_q8_0;
     std::vector<ggml_tensor_extra_cl_q8_0 *> temp_tensor_extras_q8_0_in_use;
+    std::vector<ggml_tensor_extra_cl_iq4_nl *> temp_tensor_extras_iq4_nl;
+    std::vector<ggml_tensor_extra_cl_iq4_nl *> temp_tensor_extras_iq4_nl_in_use;
     std::vector<ggml_tensor_extra_cl_q4_K *> temp_tensor_extras_q4_K;
     std::vector<ggml_tensor_extra_cl_q4_K *> temp_tensor_extras_q4_K_in_use;
+    std::vector<ggml_tensor_extra_cl_q5_K *> temp_tensor_extras_q5_K;
+    std::vector<ggml_tensor_extra_cl_q5_K *> temp_tensor_extras_q5_K_in_use;
     std::vector<ggml_tensor_extra_cl_q6_K *> temp_tensor_extras_q6_K;
     std::vector<ggml_tensor_extra_cl_q6_K *> temp_tensor_extras_q6_K_in_use;
 
@@ -4401,7 +4830,7 @@ inline bool use_adreno_kernels(const ggml_backend_opencl_context *backend_ctx, c
 inline bool use_adreno_moe_kernels(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) {
     GGML_UNUSED(backend_ctx);
     int ne01 = tensor->ne[1];
-    return ((strstr(tensor->name, "ffn") != NULL) || (strstr(tensor->name, "as") != NULL)) && (ne01 % 64 == 0);
+    return (((strstr(tensor->name, "ffn") != NULL) && (strstr(tensor->name, "exps") != NULL)) || (strstr(tensor->name, "as") != NULL)) && (ne01 % 64 == 0);
 }
 
 inline bool enable_adreno_trans_weight(const ggml_backend_opencl_context *backend_ctx, const ggml_tensor *tensor) {
@@ -4513,164 +4942,15 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         // Only do transpose for large, non batched matrix
         // TODO: use preallocated images instead of sub-buffer then image
         if (use_adreno_kernels(backend_ctx, tensor)) {
-        // <----------------------------------------------------------------------------------> //
-        // start transpose
-        // <----------------------------------------------------------------------------------> //
-        int M = tensor->ne[1];   // ne01
-        int K = tensor->ne[0];   // ne00
-
-        //For matrix-vector multiplication kernel, we assume K is a multiple of 32
-        GGML_ASSERT(K % 32 == 0);
-        //For transpose kernels, we assume K is a multiple of 4 (satisfied by prior assert), and M is a multiple of 4
-        GGML_ASSERT(M % 4 == 0);
-
-        // transpose is out of place, so we need to allocate transposed buffers
-        // <----------------------------------------------------------------------------------> //
-        // use sub_buffer of max buffer size instead
-
-        size_t q_size_bytes = K * M / 8 * sizeof(float);
-        backend_ctx->prealloc_quant_trans.allocate(context, q_size_bytes);
-
-        cl_buffer_region region;
-        region.origin = 0;
-        region.size = q_size_bytes;
-        cl_mem qT_d = clCreateSubBuffer(
-            backend_ctx->prealloc_quant_trans.buffer,
-            0,
-            CL_BUFFER_CREATE_TYPE_REGION,
-            &region,
-            &err);
-        CL_CHECK(err);
-
-        bool K_tile_trans = true;
-        if ((K / 32) % 4 != 0){
-            K_tile_trans =false;
-        }
-
-        size_t d_size_bytes = M * (K / 32) * 2;
-        backend_ctx->prealloc_scales_trans.allocate(context, d_size_bytes);
-
-        region.origin = 0;
-        region.size = d_size_bytes;
-        cl_mem dT_d = clCreateSubBuffer(
-            backend_ctx->prealloc_scales_trans.buffer,
-            0,
-            CL_BUFFER_CREATE_TYPE_REGION,
-            &region,
-            &err);
-        CL_CHECK(err);
-
-        // <----------------------------------------------------------------------------------> //
-
-
-        // create images from the buffers
-        // <----------------------------------------------------------------------------------> //
-        cl_mem q_d_image1D;
-        cl_mem d_d_image1D;
-        cl_mem qT_d_image1D;
-        cl_mem dT_d_image1D;
-
-        cl_image_format img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-        cl_image_desc img_desc_1d;
-
-        memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-        img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-        img_desc_1d.image_width = M * K / 4 / 4;
-        img_desc_1d.buffer = extra->q;
-        q_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-        CL_CHECK(err);
-
-        img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-        memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-        img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-        img_desc_1d.image_width = M * K / 4 / 4;
-        img_desc_1d.buffer = qT_d;
-        qT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-        CL_CHECK(err);
-
-        memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-        if (K_tile_trans) {
-            img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-            img_desc_1d.image_width = M * K / 32 / 4;
-        } else {
-            img_fmt_1d = { CL_R, CL_HALF_FLOAT };
-            img_desc_1d.image_width = M * K / 32;
-        }
-        img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-        img_desc_1d.buffer = extra->d;
-        d_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-        CL_CHECK(err);
-
-        img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-        memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-        img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-        img_desc_1d.image_width = M * K / 32 / 4;
-        img_desc_1d.buffer = dT_d;
-        dT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-        CL_CHECK(err);
-        // <----------------------------------------------------------------------------------> //
-
-        // set up and call the transpose kernels
-        // <----------------------------------------------------------------------------------> //
-        // weights
-        int height_q = M / 4;
-        int width_q = K / 4 / 4;
-        kernel = backend_ctx->kernel_transpose_16;
-
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &q_d_image1D));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &qT_d_image1D));
-        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_q));
-        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_q));
-
-        size_t local_size_q[3] = {4, 16, 1};
-        size_t global_size_q[3] = {static_cast<size_t>(width_q), static_cast<size_t>(height_q), 1};
-        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_q, local_size_q, 0, NULL, &evt));
-        CL_CHECK(clWaitForEvents(1, &evt));
-
-        // scales
-        int height_s = M / 4;
-        int width_s = K / 32 / 4;
-
-        kernel = backend_ctx->kernel_transpose_16;
-        if (!K_tile_trans) {
-            kernel = backend_ctx->kernel_transpose_16_4x1;
-            width_s = K / 32;
-        }
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &d_d_image1D));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &dT_d_image1D));
-        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_s));
-        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_s));
-
-        size_t local_size_s[3] = {4, 16, 1};
-        size_t global_size_s[3] = {static_cast<size_t>(width_s), static_cast<size_t>(height_s), 1};
-        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_s, local_size_s, 0, NULL, &evt));
-        CL_CHECK(clWaitForEvents(1, &evt));
-        // <----------------------------------------------------------------------------------> //
+        int M = tensor->ne[1];
+            int K = tensor->ne[0];
 
-        // copy transposed buffer contents to original buffers
-        // <----------------------------------------------------------------------------------> //
-        // weights
-        CL_CHECK(clEnqueueCopyBuffer(queue, qT_d, extra->q, 0, 0, q_size_bytes, 0, NULL, &evt));
-        CL_CHECK(clWaitForEvents(1, &evt));
+            GGML_ASSERT(K % 32 == 0);
 
-        // scales
-        CL_CHECK(clEnqueueCopyBuffer(queue, dT_d, extra->d, 0, 0, d_size_bytes, 0, NULL, &evt));
-        CL_CHECK(clWaitForEvents(1, &evt));
-        // <----------------------------------------------------------------------------------> //
-
-        // deallocate transpose buffers
-        // <----------------------------------------------------------------------------------> //
-        CL_CHECK(clReleaseMemObject(qT_d));
-        CL_CHECK(clReleaseMemObject(dT_d));
-
-        // deallocate temporary images
-        CL_CHECK(clReleaseMemObject(q_d_image1D));
-        CL_CHECK(clReleaseMemObject(d_d_image1D));
-        CL_CHECK(clReleaseMemObject(qT_d_image1D));
-        CL_CHECK(clReleaseMemObject(dT_d_image1D));
-        // <----------------------------------------------------------------------------------> //
-        // end transpose
-        // <----------------------------------------------------------------------------------> //
+            // Transpose q as ushort
+            transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M);
+            // Transpose d as ushort
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M);
         }
     #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
@@ -4812,8 +5092,9 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(err);
 
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        // Adreno moe mxfp4 kernel needs special transpose and unshuffling
         if (use_adreno_moe_kernels(backend_ctx, tensor)) {
-            cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4_trans;
+            cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4_trans4_ns;
 
             int ne00 = tensor->ne[0];
             int ne01 = tensor->ne[1];
@@ -4833,9 +5114,21 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             CL_CHECK(clReleaseMemObject(data_device));
             tensor->extra = extra;
 
+            // Create image for Q
+            cl_image_format img_format_q = {CL_R, CL_UNSIGNED_INT32};
+            cl_image_desc img_desc_q = {
+                CL_MEM_OBJECT_IMAGE1D_BUFFER,
+                static_cast<size_t>(ggml_nelements(tensor) / 8),
+                0, 0, 0, 0, 0, 0, 0,
+                { extra->q }
+            };
+            extra->q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_format_q, &img_desc_q, NULL, &err);
+            tensor->extra = extra;
+
             return;
         }
-#endif
+
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
         cl_kernel kernel = backend_ctx->kernel_convert_block_mxfp4;
 
         CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
@@ -4932,118 +5225,92 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             GGML_ASSERT(tensor->ne[2] == 1);
             GGML_ASSERT(tensor->ne[3] == 1);
 
-            // Transpose weights
-            size_t q_size_bytes = K * M / 4 * sizeof(float);
-            cl_buffer_region region;
-            region.origin = 0;
-            region.size = q_size_bytes;
-            cl_mem qT_d = clCreateSubBuffer(
-                backend_ctx->prealloc_quant_trans.buffer,
-                0,
-                CL_BUFFER_CREATE_TYPE_REGION,
-                &region,
-                &err);
-            CL_CHECK(err);
-
-            cl_mem q_d_image1D;
-            cl_mem qT_d_image1D;
-
-            cl_image_format img_fmt_1d;
-            cl_image_desc img_desc_1d;
-
-            img_fmt_1d = { CL_RGBA, CL_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 4 / 4;
-            img_desc_1d.buffer = extra->q;
-            q_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
-
-            img_fmt_1d = { CL_RGBA, CL_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 4 / 4;
-            img_desc_1d.buffer = qT_d;
-            qT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
-
-            int height_q = M / 4;
-            int width_q = K / 4 / 4;
-            kernel = backend_ctx->kernel_transpose_32;
-
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &q_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &qT_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_q));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_q));
-
-            size_t local_size_q[3] = {4, 16, 1};
-            size_t global_size_q[3] = {static_cast<size_t>(width_q), static_cast<size_t>(height_q), 1};
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_q, local_size_q, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+            transpose_2d_as_32b(backend_ctx, extra->q, extra->q, size_q, K/4,  M);
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M);
+        } // end transpose
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
-            // Transpose scales
-            size_t d_size_bytes = M * (K / 32) * 2;
-            region.origin = 0;
-            region.size = d_size_bytes;
-            cl_mem dT_d = clCreateSubBuffer(
-                backend_ctx->prealloc_scales_trans.buffer,
-                0,
-                CL_BUFFER_CREATE_TYPE_REGION,
-                &region,
-                &err);
-            CL_CHECK(err);
-
-            cl_mem d_d_image1D;
-            cl_mem dT_d_image1D;
-
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_fmt_1d = { CL_R, CL_HALF_FLOAT };
-            img_desc_1d.image_width = M * K / 32;
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.buffer = extra->d;
-            d_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
-
-            img_fmt_1d = { CL_RGBA, CL_HALF_FLOAT };
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.image_width = M * K / 32 / 4;
-            img_desc_1d.buffer = dT_d;
-            dT_d_image1D = clCreateImage(context, 0, &img_fmt_1d, &img_desc_1d, NULL, &err);
-            CL_CHECK(err);
-
-            int height_s = M / 4;
-            int width_s = K / 32;
-
-            kernel = backend_ctx->kernel_transpose_16_4x1;
-
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &d_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &dT_d_image1D));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &height_s));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &width_s));
-
-            size_t local_size_s[3] = {4, 16, 1};
-            size_t global_size_s[3] = {static_cast<size_t>(width_s), static_cast<size_t>(height_s), 1};
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_size_s, local_size_s, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        return;
+    }
+    if (tensor->type == GGML_TYPE_IQ4_NL) {
+        ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
+        GGML_ASSERT(extra_orig && "Tensors in OpenCL backend should have been allocated and initialized");
 
-            // copy transposed buffer contents to original buffers
-            CL_CHECK(clEnqueueCopyBuffer(queue, qT_d, extra->q, 0, 0, q_size_bytes, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
+        ggml_tensor_extra_cl_iq4_nl * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_iq4_nl();
 
-            CL_CHECK(clEnqueueCopyBuffer(queue, dT_d, extra->d, 0, 0, d_size_bytes, 0, NULL, &evt));
-            CL_CHECK(clWaitForEvents(1, &evt));
+        size_t size_d = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        size_t size_q = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*(ggml_blck_size(tensor->type)/2);
+        GGML_ASSERT(size_d + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
 
-            CL_CHECK(clReleaseMemObject(qT_d));
-            CL_CHECK(clReleaseMemObject(dT_d));
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+        CL_CHECK(clEnqueueWriteBuffer(
+            queue, data_device, CL_TRUE, 0,
+            ggml_nbytes(tensor), data, 0, NULL, NULL));
 
-            CL_CHECK(clReleaseMemObject(q_d_image1D));
-            CL_CHECK(clReleaseMemObject(d_d_image1D));
-            CL_CHECK(clReleaseMemObject(qT_d_image1D));
-            CL_CHECK(clReleaseMemObject(dT_d_image1D));
-        } // end transpose
-#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_buffer_region region;
+
+        // Create subbuffer for scales.
+        region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
+        region.size = size_d;
+        extra->d = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+        auto previous_origin = region.origin;
+
+        // Create subbuffer for quants.
+        region.origin = align_to(previous_origin + size_d, backend_ctx->alignment);
+        region.size = size_q;
+        extra->q = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
+
+    #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_kernel kernel = backend_ctx->kernel_convert_block_iq4_nl;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_iq4_nl_noshuffle;
+        }
+    #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_iq4_nl;
+    #endif
+        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_uchar), &mask_F0));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &n_blk));
+
+        size_t global_work_size[] = {(size_t)CEIL_DIV(n_blk, 64)*64, 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseMemObject(data_device));
+
+        tensor->extra = extra;
 
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+            GGML_ASSERT(K % 32 == 0);
+
+            // Transpose q as ushort
+            transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M);
+            // Transpose d as ushort
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/32, M);
+        }
+#endif
         return;
     }
     if (tensor->type == GGML_TYPE_Q4_K) {
@@ -5150,19 +5417,20 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
         return;
     }
-    if (tensor->type == GGML_TYPE_Q6_K) {
+    if (tensor->type == GGML_TYPE_Q5_K) {
         ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
         GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
 
         // Allocate the new extra and create aliases from the original.
         ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-        ggml_tensor_extra_cl_q6_K * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q6_K();
+        ggml_tensor_extra_cl_q5_K * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q5_K();
 
-        size_t size_ql = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
-        size_t size_qh = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/4;
-        size_t size_s  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/16;
+        size_t size_q  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+        size_t size_qh = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/8;
+        size_t size_s  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*(3*ggml_blck_size(tensor->type)/64);
         size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
-        GGML_ASSERT(size_ql + size_qh + size_s + size_d == ggml_nbytes(tensor) &&
+        size_t size_dm = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        GGML_ASSERT(size_q + size_qh + size_s + size_d + size_dm == ggml_nbytes(tensor) &&
             "Incorrect tensor size");
 
         cl_int err;
@@ -5172,43 +5440,160 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
 
         cl_buffer_region region;
 
-        // Subbuffer for ql
+        // Create subbuffer for d.
         region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
-        region.size = size_ql;
-        CL_CHECK((extra->ql = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        region.size = size_d;
+        extra->d = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
         auto previous_origin = region.origin;
 
-        // Subbuffer for qh
-        region.origin = align_to(previous_origin + size_ql, backend_ctx->alignment);
-        region.size = size_qh;
-        CL_CHECK((extra->qh = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        // Create subbuffer for dm.
+        region.origin = align_to(previous_origin + size_d, backend_ctx->alignment);
+        region.size = size_dm;
+        extra->dm = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
         previous_origin = region.origin;
 
-        // Subbuffer for scales
-        region.origin = align_to(previous_origin + size_qh, backend_ctx->alignment);
+        // Create subbuffer for s.
+        region.origin = align_to(previous_origin + size_dm, backend_ctx->alignment);
         region.size = size_s;
-        CL_CHECK((extra->s = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        extra->s = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
         previous_origin = region.origin;
 
-        // Create subbuffer for d.
+        // Create subbuffer for q (lower 4 bits)
         region.origin = align_to(previous_origin + size_s, backend_ctx->alignment);
-        region.size = size_d;
-        CL_CHECK((extra->d = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        region.size = size_q;
+        extra->q = clCreateSubBuffer(
+            extra_orig->data_device, CL_MEM_READ_WRITE,
+            CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+        CL_CHECK(err);
         previous_origin = region.origin;
 
-        // Flatten the weights
-        cl_kernel kernel;
-#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
-        kernel = backend_ctx->kernel_convert_block_q6_K;
+        // Create subbuffer for qh (upper 1 bit)
+        region.origin = align_to(previous_origin + size_q, backend_ctx->alignment);
+        region.size = size_qh;
+        CL_CHECK((extra->qh = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        CL_CHECK(err);
+
+        #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q5_K;
         if (use_adreno_kernels(backend_ctx, tensor)) {
-            kernel = backend_ctx->kernel_convert_block_q6_K_noshuffle;
+            kernel = backend_ctx->kernel_convert_block_q5_K_noshuffle;
         }
-#else
-        kernel = backend_ctx->kernel_convert_block_q6_K;
-#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q5_K;
+        #endif
 
-        cl_uchar mask = 0xff;
-        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {64, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clReleaseMemObject(data_device));
+
+        extra->size_q  = size_q;
+        extra->size_qh = size_qh;
+        extra->size_s  = size_s;
+        extra->size_d  = size_d;
+        extra->size_dm = size_dm;
+
+        tensor->extra = extra;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            GGML_ASSERT(K % 32 == 0);
+
+            // Transpose q, d, dm as ushort, qh as uchar
+            transpose_2d_as_16b(backend_ctx, extra->q,  extra->q,  size_q,  K/4,   M);
+            transpose_2d_as_8b (backend_ctx, extra->qh, extra->qh, size_qh, K/8,   M);
+            transpose_2d_as_16b(backend_ctx, extra->d,  extra->d,  size_d,  K/256, M);
+            transpose_2d_as_16b(backend_ctx, extra->dm, extra->dm, size_dm, K/256, M);
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+        return;
+    }
+    if (tensor->type == GGML_TYPE_Q6_K) {
+        ggml_tensor_extra_cl * extra_orig = (ggml_tensor_extra_cl *)tensor->extra;
+        GGML_ASSERT(extra_orig && "Tesnors in OpenCL backend should have been allocated and initialized");
+
+        // Allocate the new extra and create aliases from the original.
+        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
+        ggml_tensor_extra_cl_q6_K * extra = ctx->ggml_opencl_alloc_temp_tensor_extra_q6_K();
+
+        size_t size_ql = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+        size_t size_qh = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/4;
+        size_t size_s  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/16;
+        size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+        GGML_ASSERT(size_ql + size_qh + size_s + size_d == ggml_nbytes(tensor) &&
+            "Incorrect tensor size");
+
+        cl_int err;
+        cl_mem data_device;
+        CL_CHECK((data_device = clCreateBuffer(context, CL_MEM_READ_WRITE, ggml_nbytes(tensor), NULL, &err), err));
+        CL_CHECK(clEnqueueWriteBuffer(queue, data_device, CL_TRUE, 0, ggml_nbytes(tensor), data, 0, NULL, NULL));
+
+        cl_buffer_region region;
+
+        // Subbuffer for ql
+        region.origin = align_to(extra_orig->offset + tensor->view_offs + offset, backend_ctx->alignment);
+        region.size = size_ql;
+        CL_CHECK((extra->ql = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        auto previous_origin = region.origin;
+
+        // Subbuffer for qh
+        region.origin = align_to(previous_origin + size_ql, backend_ctx->alignment);
+        region.size = size_qh;
+        CL_CHECK((extra->qh = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        previous_origin = region.origin;
+
+        // Subbuffer for scales
+        region.origin = align_to(previous_origin + size_qh, backend_ctx->alignment);
+        region.size = size_s;
+        CL_CHECK((extra->s = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        previous_origin = region.origin;
+
+        // Create subbuffer for d.
+        region.origin = align_to(previous_origin + size_s, backend_ctx->alignment);
+        region.size = size_d;
+        CL_CHECK((extra->d = clCreateSubBuffer(extra_orig->data_device, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+        previous_origin = region.origin;
+
+        // Flatten the weights
+        cl_kernel kernel;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        kernel = backend_ctx->kernel_convert_block_q6_K;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q6_K_noshuffle;
+        }
+#else
+        kernel = backend_ctx->kernel_convert_block_q6_K;
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
+        cl_uchar mask = 0xff;
+        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
         CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &data_device));
         CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->ql));
         CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->qh));
@@ -5291,8 +5676,9 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
 
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
         if (use_adreno_kernels(backend_ctx, tensor)) {
-            cl_int err;
-            cl_kernel kernel;
+            ggml_cl_buffer buf_trans_q;
+            ggml_cl_buffer buf_trans_d;
+            ggml_cl_buffer buf_unpacked;
 
             cl_int M = tensor->ne[1];   // ne01
             cl_int K = tensor->ne[0];   // ne00
@@ -5304,46 +5690,12 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
             size_t size_d = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*sizeof(ggml_fp16_t);
             GGML_ASSERT(size_d + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
 
-            cl_mem buf_trans_q;
-            cl_mem buf_trans_d;
-
-            CL_CHECK((buf_trans_q = clCreateBuffer(context, CL_MEM_READ_WRITE,
-                size_q, NULL, &err), err));
-            CL_CHECK((buf_trans_d = clCreateBuffer(context, CL_MEM_READ_WRITE,
-                size_d, NULL, &err), err));
-
-            kernel = backend_ctx->kernel_transpose_16_buf;
-
-            // transpose q back
-            cl_int stride_k_q = K/4;
-            size_t local_size_q[3] = {64, 1, 1};
-            size_t global_size_q[3] = {(size_t)M, (size_t)stride_k_q, 1};
-
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_q));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_int), &M));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &stride_k_q));
-
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
-                global_size_q, local_size_q, 0, NULL, NULL));
-
-            // transpose scales back
-            cl_int stride_k_d = K/32;
-            size_t local_size_d[3] = {64, 1, 1};
-            size_t global_size_d[3] = {(size_t)M, (size_t)stride_k_d, 1};
-
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->d));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &buf_trans_d));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_int), &M));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_int), &stride_k_d));
-
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
-                global_size_d, local_size_d, 0, NULL, NULL));
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_unpacked.allocate(backend_ctx->context, ggml_nbytes(tensor));
 
-            // unpack
-            cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
-                ggml_nbytes(tensor), NULL, &err);
-            CL_CHECK(err);
+            transpose_2d_as_16b(backend_ctx, extra->q, buf_trans_q.buffer, size_q, M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->d, buf_trans_d.buffer, size_d, M, K/32);
 
             cl_uchar mask_0F = 0x0F;
             cl_uchar mask_F0 = 0xF0;
@@ -5351,25 +5703,15 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
             size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
             size_t local_work_size[] = {1, 1, 1};
 
-            kernel = backend_ctx->kernel_restore_block_q4_0_noshuffle;
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_d));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &data_device));
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q4_0_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &buf_unpacked.buffer));
             CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_uchar), &mask_0F));
             CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_uchar), &mask_F0));
 
-            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
-                global_work_size, local_work_size, 0, NULL, NULL));
-
-            // read back to host
-            CL_CHECK(clEnqueueReadBuffer(
-                queue, data_device, CL_TRUE, offset,
-                size, data, 0, NULL, NULL));
-
-            CL_CHECK(clReleaseMemObject(data_device));
-            CL_CHECK(clReleaseMemObject(buf_trans_q));
-            CL_CHECK(clReleaseMemObject(buf_trans_d));
-
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, buf_unpacked.buffer, CL_TRUE, offset, size, data, 0, NULL, NULL));
             return;
         }
 #endif
@@ -5481,7 +5823,7 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
 
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
         if (use_adreno_moe_kernels(backend_ctx, tensor)) {
-            cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4_trans;
+            cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4_trans4_ns;
 
             int ne00 = tensor->ne[0];
             int ne01 = tensor->ne[1];
@@ -5505,7 +5847,8 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
             CL_CHECK(clReleaseMemObject(data_device));
             return;
         }
-#endif
+
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
         cl_kernel kernel = backend_ctx->kernel_restore_block_mxfp4;
         CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
         CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->e));
@@ -5580,6 +5923,78 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(clReleaseMemObject(data_device));
         return;
     }
+    if (tensor->type == GGML_TYPE_IQ4_NL) {
+        ggml_tensor_extra_cl_iq4_nl * extra = (ggml_tensor_extra_cl_iq4_nl *)tensor->extra;
+
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_unpacked;
+
+            cl_int M = tensor->ne[1];
+            cl_int K = tensor->ne[0];
+            GGML_ASSERT(K % 32 == 0);
+
+            size_t size_q = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*(ggml_blck_size(tensor->type)/2);
+            size_t size_d = (ggml_nelements(tensor)/ggml_blck_size(tensor->type))*sizeof(ggml_fp16_t);
+            GGML_ASSERT(size_d + size_q == ggml_nbytes(tensor) && "Incorrect tensor size");
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_unpacked.allocate(backend_ctx->context, ggml_nbytes(tensor));
+
+            // transpose q, d back
+            transpose_2d_as_16b(backend_ctx, extra->q, buf_trans_q.buffer, size_q, M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->d, buf_trans_d.buffer, size_d, M, K/32);
+
+            cl_uchar mask_0F = 0x0F;
+            cl_uchar mask_F0 = 0xF0;
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_iq4_nl_noshuffle;
+            cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &buf_unpacked.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_uchar), &mask_F0));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &n_blk));
+
+            size_t global_work_size[] = {(size_t)n_blk, 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL, global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, buf_unpacked.buffer, CL_TRUE, offset, size, data, 0, NULL, NULL));
+            return;
+        }
+#endif
+        cl_kernel kernel = backend_ctx->kernel_restore_block_iq4_nl;
+        cl_ulong n_blk = ggml_nelements(tensor)/ggml_blck_size(tensor->type);
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &n_blk));
+
+        size_t global_work_size[] = {(size_t)n_blk, 1, 1};
+        size_t local_work_size[] = {1, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+            global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clEnqueueReadBuffer(
+            queue, data_device, CL_TRUE, offset,
+            size, data, 0, NULL, NULL));
+        CL_CHECK(clReleaseMemObject(data_device));
+        return;
+    }
     if (tensor->type == GGML_TYPE_Q4_K) {
         ggml_tensor_extra_cl_q4_K * extra = (ggml_tensor_extra_cl_q4_K *)tensor->extra;
 
@@ -5656,6 +6071,88 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(clReleaseMemObject(data_device));
         return;
     }
+    if (tensor->type == GGML_TYPE_Q5_K) {
+        ggml_tensor_extra_cl_q5_K * extra = (ggml_tensor_extra_cl_q5_K *)tensor->extra;
+
+        cl_int err;
+        cl_mem data_device = clCreateBuffer(context, CL_MEM_READ_WRITE,
+            ggml_nbytes(tensor), NULL, &err);
+        CL_CHECK(err);
+
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            size_t size_q  = extra->size_q;
+            size_t size_qh = extra->size_qh;
+            size_t size_d  = extra->size_d;
+            size_t size_dm = extra->size_dm;
+
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_qh;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_trans_dm;
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_qh.allocate(backend_ctx->context, size_qh);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_trans_dm.allocate(backend_ctx->context, size_dm);
+
+            // Reverse transpose q, qh, d, dm
+            transpose_2d_as_16b(backend_ctx, extra->q,  buf_trans_q.buffer,  size_q,  M, K/4);
+            transpose_2d_as_8b (backend_ctx, extra->qh, buf_trans_qh.buffer, size_qh, M, K/8);
+            transpose_2d_as_16b(backend_ctx, extra->d,  buf_trans_d.buffer,  size_d,  M, K/256);
+            transpose_2d_as_16b(backend_ctx, extra->dm, buf_trans_dm.buffer, size_dm, M, K/256);
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q5_K_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &buf_trans_qh.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->s));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &buf_trans_dm.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &data_device));
+            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+            size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+                global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, data_device, CL_TRUE, offset,
+                size, data, 0, NULL, NULL));
+            CL_CHECK(clReleaseMemObject(data_device));
+            return;
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
+        cl_kernel kernel = backend_ctx->kernel_restore_block_q5_K;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra->qh));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra->s));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra->d));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_uchar), &mask_F0));
+
+        size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+        size_t local_work_size[] = {1, 1, 1};
+
+        cl_event evt;
+        CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+            global_work_size, local_work_size, 0, NULL, &evt));
+        CL_CHECK(clWaitForEvents(1, &evt));
+        CL_CHECK(clEnqueueReadBuffer(
+            queue, data_device, CL_TRUE, offset,
+            size, data, 0, NULL, NULL));
+        CL_CHECK(clReleaseMemObject(data_device));
+        return;
+    }
     if (tensor->type == GGML_TYPE_Q6_K) {
         ggml_tensor_extra_cl_q6_K * extra = (ggml_tensor_extra_cl_q6_K *)tensor->extra;
 
@@ -5778,6 +6275,8 @@ static ggml_backend_buffer_i ggml_backend_opencl_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_opencl_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_opencl_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_opencl_buffer_clear,
     /* .reset           = */ ggml_backend_opencl_buffer_reset,
@@ -5861,11 +6360,16 @@ static const char * ggml_backend_opencl_device_get_description(ggml_backend_dev_
 }
 
 static void ggml_backend_opencl_device_get_memory(ggml_backend_dev_t dev, size_t * free, size_t * total) {
-    // no memory to report
-    *free  = 0;
-    *total = 0;
+    ggml_backend_opencl_device_context * dev_ctx = (ggml_backend_opencl_device_context *) dev->context;
+    ggml_backend_opencl_context * backend_ctx = (ggml_backend_opencl_context *) dev_ctx->backend_ctx;
 
-    GGML_UNUSED(dev);
+    static const size_t opencl_extra_margin = 1024ull*1024ull*1024ull;
+
+    // OpenCL does not provide reliable currently-free device memory.
+    // Use total/global memory as a best-effort upper bound.
+    // Improved safety: Reduce by a 1GiB extra margin for common --fit
+    *total = backend_ctx->global_mem_size;
+    *free  = *total > opencl_extra_margin ? *total - opencl_extra_margin : 0;
 }
 
 static enum ggml_backend_dev_type ggml_backend_opencl_device_get_type(ggml_backend_dev_t dev) {
@@ -9387,7 +9891,236 @@ static void ggml_cl_mul_mat_kq_kqv_adreno(ggml_backend_t backend, const ggml_ten
     CL_CHECK(clReleaseMemObject(D_sub_buffer));
 }
 
-static void ggml_cl_mul_mat_q4_1_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_cl_mul_mat_q4_0_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q4_0 * extra0_q4_0 = (ggml_tensor_extra_cl_q4_0 *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int ne00 = src0->ne[0];
+    const int ne01 = src0->ne[1];
+    const int ne02 = src0->ne[2];
+
+    const int ne10 = src1->ne[0];
+    const int ne12 = src1->ne[2];
+
+    const int ne0 = dst->ne[0];
+    const int ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
+    cl_buffer_region    region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer = extra0_q4_0->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32;
+        if (M == 4096 && K == 4096) {
+            kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_4096;
+        } else if (M == 4096 && K == 11008) {
+            kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_4096_1_11008;
+        } else if (M == 11008 && K == 4096) {
+            kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_11008_1_4096;
+        } else if (M == 32000 && K == 4096) {
+            kernel = backend_ctx->kernel_gemv_noshuffle_q4_0_f32_32000_1_4096;
+        }
+
+        int r2 = 1;
+        int r3 = 1;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q4_0->d));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+        CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+        cl_mem d_sub_buf = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for output
+        region.origin = extrad->offset; // Specify the starting offset (in bytes)
+        region.size = M * N * sizeof(float); // Specify the size of the sub-buffer
+        CL_CHECK((d_sub_buf = clCreateSubBuffer(extrad->data_device, CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) {
+            local_work_size_t[0]=4;
+            local_work_size_t[1]=8;
+        } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) {
+            local_work_size_t[0]=2;
+            local_work_size_t[1]=8;
+        } else if(ne0 == 4096 && ne1 == 128 && ne10 == 11008) {
+            local_work_size_t[0]=1;
+            local_work_size_t[1]=8;
+        } else if(ne0 == 32000 && ne1 == 128 && ne10 == 4096) {
+            local_work_size_t[0]=2;
+            local_work_size_t[1]=8;
+        }
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q4_0_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0_q4_0->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_0->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &d_sub_buf));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne1));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {1, 128, 1};
+        if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) {
+            local_work_size[0] = 1;
+            local_work_size[1] = 128;
+        } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) {
+            local_work_size[0] = 2;
+            local_work_size[1] = 64;
+        } else if (ne0 == 4096 && ne1 == 128 && ne10 == 11008) {
+            local_work_size[0] = 2;
+            local_work_size[1] = 64;
+        } else if (ne0 == 32000 && ne1 == 128 && ne10 == 4096) {
+            local_work_size[0] = 2;
+            local_work_size[1] = 64;
+        }
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+        CL_CHECK(clReleaseMemObject(d_sub_buf));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
+static void ggml_cl_mul_mat_q4_1_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -9561,7 +10294,7 @@ static void ggml_cl_mul_mat_q4_1_f32_adreno(ggml_backend_t backend, const ggml_t
 #endif
 }
 
-static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_cl_mul_mat_iq4_nl_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -9570,19 +10303,190 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     GGML_ASSERT(dst);
     GGML_ASSERT(dst->extra);
 
-    const enum ggml_type src0t = src0->type;
-    const enum ggml_type src1t = src1->type;
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_iq4_nl * extra0_iq4_nl = (ggml_tensor_extra_cl_iq4_nl *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int  ne00 = src0->ne[0];
+    const int  ne01 = src0->ne[1];
+
+    const int  ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % 32 == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
+    cl_buffer_region    region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer = extra0_iq4_nl->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_iq4_nl_f32;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_iq4_nl->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int),   &ne01));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_iq4_nl_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0_iq4_nl->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_iq4_nl->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &ne1));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {1, 128, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
+static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
 
-    GGML_ASSERT(src0t == GGML_TYPE_Q8_0);
-    GGML_ASSERT(src1t == GGML_TYPE_F32);
+    GGML_ASSERT(src0->type == GGML_TYPE_Q8_0);
+    GGML_ASSERT(src1->type == GGML_TYPE_F32);
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
     ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
     ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
-
     ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra;
 
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
     GGML_ASSERT(src1->view_offs == 0);
     GGML_ASSERT(dst->view_offs == 0);
 
@@ -9603,148 +10507,112 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
     cl_context context = backend_ctx->context;
     cl_kernel kernel;
 
-    // init CL objects
-    cl_int              status;
-    cl_image_format     img_fmt_1d;
-    cl_image_desc       img_desc_1d;
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
     cl_buffer_region    region;
-    cl_mem              A_image1d;
-    cl_mem              B_image1d;
-    cl_mem              B_sub_buffer;
-    cl_mem              S_image1d;
-    // for B transpose
-    cl_mem              B_image1d_trans = nullptr;
-    cl_mem              B_d = nullptr;
-
-    cl_mem              D_image1d;
-    cl_mem              D_sub_buffer;
 
     int M = ne01;
     int N = ne1;
     int K = ne00;
 
-    // create an image for A
-    img_fmt_1d = { CL_R, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * K / 4;    // Divide by 4 for char -> float
-    img_desc_1d.buffer = extra0_q8_0->q;
-    A_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
-
-    // create an image for Scale
-    img_fmt_1d = { CL_R, CL_HALF_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * K / 32;    // Block size is 32
-    img_desc_1d.buffer = extra0_q8_0->d;
-    S_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
-
-    // create a sub_buffer for B
-    region.origin = (extra1->offset); // + src1->view_offs);
-    region.size = K * N * sizeof(float);
-    B_sub_buffer = clCreateSubBuffer((extra1->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-    CL_CHECK(status);
-
-    // create an image for B from sub_buffer: RGBA (OCL)
-    img_fmt_1d = {CL_RGBA, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = K * N / 4;
-    img_desc_1d.buffer = B_sub_buffer;
-    B_image1d = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
 
-    // Create subbuffer and image1d_buffer for dst
-    region.origin = (extrad->offset); // + dst->view_offs;
-    region.size = M * N * sizeof(float);
-    D_sub_buffer = clCreateSubBuffer((extrad->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-    CL_CHECK(status);
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 4;
+        img_desc.buffer = extra0_q8_0->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-    img_fmt_1d = {CL_R, CL_FLOAT};
-    memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-    img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-    img_desc_1d.image_width = M * N;
-    img_desc_1d.buffer = D_sub_buffer;
-    D_image1d = clCreateImage(context, CL_MEM_WRITE_ONLY, &img_fmt_1d, &img_desc_1d, NULL, &status);
-    CL_CHECK(status);
+        // create a sub_buffer for B
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer((extra1->data_device), 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-    size_t local_work_size[3] = {1, 1, 1};
-    size_t global_work_size[3] = {1, 1, 1};
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
 
-    if (N == 1) {
-        kernel = backend_ctx->CL_mul_mat_vec_q8_0_f32;
+        kernel = backend_ctx->kernel_gemv_noshuffle_q8_0_f32;
 
         int r2 = 1;
         int r3 = 1;
-        cl_uint k_arg = 0;
-
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &A_image1d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extra0_q8_0->d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &B_image1d));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extra1->offset));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extrad->data_device));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extrad->offset));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne00));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne01));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne02));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne10));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne12));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne0));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne1));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r2));
-        CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r3));
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q8_0->d));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &extra1->offset));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &extrad->offset));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+        CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
 
         size_t wavesize = backend_ctx->adreno_wave_size;
-        local_work_size[0] = wavesize;
-        local_work_size[1] = 4; // reduce factor
-        local_work_size[2] = 1;
+        size_t local_work_size[]  = { wavesize, 4, 1 };
+        size_t global_work_size[] = { CEIL_DIV(M, wavesize)*wavesize, 4, 1 };
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 
-        global_work_size[0] = ((M + wavesize - 1) / wavesize) * wavesize;
-        global_work_size[1] = 4; // reduce factor
-        global_work_size[2] = 1;
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
     } else {
-        cl_ulong offsetd = extrad->offset + dst->view_offs;
-        int padding;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
 
-        //how many extra elements beyond multiple of 8
-        int extra_elements = N % 8;
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
-        //how much padding to add
-        padding = 0;
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
         if (extra_elements > 0){
             padding = 8 - extra_elements;
         }
 
-        // Specify the starting offset (in bytes)
+        // subbuffer for transposed activations
         region.origin = 0;
-        // Specify the size of the sub-buffer (divide by 2 for FP16)
         region.size = K * (N + padding) * sizeof(float)/2;
         backend_ctx->prealloc_act_trans.allocate(context, region.size);
-        B_d = clCreateSubBuffer(
-            backend_ctx->prealloc_act_trans.buffer,
-            0,
-            CL_BUFFER_CREATE_TYPE_REGION,
-            &region,
-            &status);
-        CL_CHECK(status);
-
-        cl_image_format image_format_B_d_output = { CL_RGBA, CL_HALF_FLOAT }; //(CL_HALF_FLOAT for FP16)
-        cl_image_desc image_desc_B_d_output = {
-            CL_MEM_OBJECT_IMAGE1D_BUFFER,
-            static_cast<size_t>(K * (N + padding)/4),
-            0, 0, 0, 0, 0, 0, 0, { B_d }
-        };
-        B_image1d_trans = clCreateImage(
-            context,
-            0,
-            &image_format_B_d_output,
-            &image_desc_B_d_output,
-            NULL,
-            &status);
-        CL_CHECK(status);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
 
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
         int height_B = N/4;
         if (height_B == 0) {
             height_B = 1;
@@ -9753,58 +10621,39 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
         int padded_height_B = (N + padding)/4;
 
         kernel = backend_ctx->kernel_transpose_32_16;
-        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &B_image1d));
-        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &B_image1d_trans));
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
         CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
         CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
         CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
 
-        size_t local_size_t[2] = { 1, 16 };
-        size_t global_size_t[2] = {
-            static_cast<size_t>(width_B),
-            static_cast<size_t>(padded_height_B)
-        };
-
-        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_size_t, local_size_t, dst);
-
-        kernel = backend_ctx->kernel_mul_mm_q8_0_f32_8x4;
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
 
-        int N_with_padding = N + padding;
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q8_0_f32;
+        int padded_N = N + padding;
 
         CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q8_0->q));
         CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q8_0->d));
-        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &B_image1d_trans));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &b_img_trans));
         CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extrad->data_device));
         CL_CHECK(clSetKernelArg(kernel,  4, sizeof(int),      &K));
         CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &M));
-        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &N_with_padding));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &padded_N));
         CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &N));
         CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &offsetd));
 
-        global_work_size[0] = (size_t)(N + 7) / 8;
-        global_work_size[1] = (size_t)(M + 3) / 4;
-        global_work_size[2] = 1;
-
-        local_work_size[0] = 2;
-        local_work_size[1] = 128;
-        local_work_size[2] = 1;
-    }
+        size_t global_work_size[] = { (size_t)CEIL_DIV(N, 8), (size_t)CEIL_DIV(M, 4), 1 };
+        size_t local_work_size[]  = { 2, 128, 1 };
 
-    // enqueue kernel with profiling
-    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
 
-    // deallocate sub buffers and images
-    CL_CHECK(clReleaseMemObject(A_image1d));
-    CL_CHECK(clReleaseMemObject(B_sub_buffer));
-    CL_CHECK(clReleaseMemObject(B_image1d));
-    CL_CHECK(clReleaseMemObject(S_image1d));
-    CL_CHECK(clReleaseMemObject(D_sub_buffer));
-    CL_CHECK(clReleaseMemObject(D_image1d));
-    if (B_image1d_trans) {
-        CL_CHECK(clReleaseMemObject(B_image1d_trans));
-    }
-    if (B_d) {
-        CL_CHECK(clReleaseMemObject(B_d));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
     }
 #else
     GGML_UNUSED(backend);
@@ -10190,6 +11039,201 @@ static void ggml_cl_mul_mat_q6_K_f32_adreno(ggml_backend_t backend, const ggml_t
 #endif
 }
 
+static void ggml_cl_mul_mat_q5_K_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q5_K * extra0_q5_k = (ggml_tensor_extra_cl_q5_K *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int ne00 = src0->ne[0];
+    const int ne01 = src0->ne[1];
+    const int ne1  = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int           err;
+    cl_image_format  img_fmt;
+    cl_image_desc    img_desc;
+    cl_buffer_region region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    cl_uchar mask_d6  = 0x3F;
+    cl_uchar mask_d4  = 0x0F;
+    cl_uchar mask_hi2 = 0xC0;
+
+    if (ne1 == 1) {
+        cl_mem q_img  = nullptr;
+        cl_mem qh_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q (CL_R, CL_UNSIGNED_INT32): width = M*K/2/4
+        img_fmt = {CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer      = extra0_q5_k->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // image for qh (CL_R, CL_HALF_FLOAT): width = M*K/16
+        img_fmt = {CL_R, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 16;
+        img_desc.buffer      = extra0_q5_k->qh;
+        CL_CHECK((qh_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size   = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations (CL_RGBA, CL_FLOAT): width = K*N/4
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer      = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q5_k_f32;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &qh_img));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_k->d));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_k->dm));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_k->s));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_hi2));
+
+        size_t local_work_size[3]  = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(qh_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+        cl_mem b_sub_buf      = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img          = nullptr;
+        cl_mem b_img_trans    = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size   = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer      = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0) {
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size   = K * (N + padding) * sizeof(float) / 2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type  = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer      = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B       = N / 4;
+        if (height_B == 0) height_B = 1;
+        int width_B        = K / 4;
+        int padded_height_B = (N + padding) / 4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2]  = {1, 16};
+        size_t global_work_size_t[2] = {(size_t)width_B, (size_t)padded_height_B};
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q5_k_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_k->q));
+        CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_k->qh));
+        CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_k->s));
+        CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_k->d));
+        CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_k->dm));
+        CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_int),   &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_uchar), &mask_hi2));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3]  = {1, 128, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
 static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -10198,8 +11242,8 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     GGML_ASSERT(dst);
     GGML_ASSERT(dst->extra);
 
-    const enum ggml_type src0t = src0 ? src0->type : GGML_TYPE_COUNT;
-    const enum ggml_type src1t = src1 ? src1->type : GGML_TYPE_COUNT;
+    const enum ggml_type src0t = src0->type;
+    const enum ggml_type src1t = src1->type;
 
     ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
 
@@ -10216,32 +11260,18 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     ggml_tensor_extra_cl_q4_1 * extra0_q4_1 = (ggml_tensor_extra_cl_q4_1 *)src0->extra;
     ggml_tensor_extra_cl_mxfp4 * extra0_mxfp4 = (ggml_tensor_extra_cl_mxfp4 *)src0->extra;
     ggml_tensor_extra_cl_q8_0 * extra0_q8_0 = (ggml_tensor_extra_cl_q8_0 *)src0->extra;
+    ggml_tensor_extra_cl_iq4_nl * extra0_iq4_nl = (ggml_tensor_extra_cl_iq4_nl *)src0->extra;
     ggml_tensor_extra_cl_q4_K * extra0_q4_K = (ggml_tensor_extra_cl_q4_K *)src0->extra;
+    ggml_tensor_extra_cl_q5_K * extra0_q5_K = (ggml_tensor_extra_cl_q5_K *)src0->extra;
     ggml_tensor_extra_cl_q6_K * extra0_q6_K = (ggml_tensor_extra_cl_q6_K *)src0->extra;
 #endif
 
-    const int  ne00 = src0 ? src0->ne[0] : 0;
-    const int  ne01 = src0 ? src0->ne[1] : 0;
-    const int  ne02 = src0 ? src0->ne[2] : 0;
-    const int  ne03 = src0 ? src0->ne[3] : 0;
-
-    const cl_ulong nb00 = src0 ? src0->nb[0] : 0;
-    const cl_ulong nb01 = src0 ? src0->nb[1] : 0;
-    const cl_ulong nb02 = src0 ? src0->nb[2] : 0;
-    const cl_ulong nb03 = src0 ? src0->nb[3] : 0;
-
-    const int  ne10 = src1 ? src1->ne[0] : 0;
-    const int  ne11 = src1 ? src1->ne[1] : 0;
-    const int  ne12 = src1 ? src1->ne[2] : 0;
-    const int  ne13 = src1 ? src1->ne[3] : 0;
-
-    const cl_ulong nb10 = src1 ? src1->nb[0] : 0;
-    const cl_ulong nb11 = src1 ? src1->nb[1] : 0;
-    const cl_ulong nb12 = src1 ? src1->nb[2] : 0;
-    const cl_ulong nb13 = src1 ? src1->nb[3] : 0;
-
-    const int  ne0 = dst ? dst->ne[0] : 0;
-    const int  ne1 = dst ? dst->ne[1] : 0;
+    GGML_TENSOR_LOCALS(int,      ne0, src0, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
+    GGML_TENSOR_LOCALS(int,      ne1, src1, ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb1, src1, nb);
+    GGML_TENSOR_LOCALS(int,      ne,  dst,  ne);
+    GGML_TENSOR_LOCALS(cl_ulong, nb,  dst,  nb);
 
     int r2 = ne12/ne02;
     int r3 = ne13/ne03;
@@ -10257,8 +11287,6 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     cl_kernel kernel;
 
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
-    cl_context context = backend_ctx->context;
-
     if(src0t == GGML_TYPE_F16 && src1t == GGML_TYPE_F32){
         if (ne01 >= 64 && ne1 >= 32 && ne00 >= 16 && (ne12 % ne02) == 0  &&
             // dst is wrapped with image1d_buffer, the size limit applies, also src0
@@ -10276,337 +11304,61 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                 return;
             }
             // For KQV
-            if (!ggml_is_contiguous(src0) && ggml_is_contiguous(src1) &&
-                ((nb02 * ne02 / 4)/4 <= backend_ctx->image_max_buffer_size)) {
-                ggml_cl_mul_mat_kq_kqv_adreno(backend, src0, src1, dst);
-                return;
-            }
-        }
-    }
-
-    if (ne01 && ne1 && use_adreno_kernels(backend_ctx, src0)) {
-
-    // init CL objects
-    // <--------------------------------------------> //
-    cl_int              status;
-    cl_image_format     img_fmt_1d;
-    cl_image_desc       img_desc_1d;
-    cl_buffer_region    region;
-    cl_mem              A_image1d = nullptr;
-    cl_mem              B_image1d = nullptr;
-    cl_mem              B_sub_buffer = nullptr;
-    cl_mem              C_d = nullptr;
-    // for B transpose
-    cl_mem B_d = nullptr;
-    cl_mem B_d_input_image = nullptr;
-    // <--------------------------------------------> //
-
-    // define matrix dimensions
-    // <--------------------------------------------> //
-    int M = ne01;
-    int N = ne1;
-    int K = ne00;
-    int padding;
-    // <--------------------------------------------> //
-
-    // NOTE: Kernels using image1d_buffer_t (e.g., src0_q) would normally require
-    // a limit check, but q4_0 / q4_1 tensors are very unlikely to exceed that
-    // limit, so the check is omitted.
-
-    // q4_1 x fp32
-    if (src0t == GGML_TYPE_Q4_1 && src1t == GGML_TYPE_F32) {
-            ggml_cl_mul_mat_q4_1_f32_adreno(backend, src0, src1, dst);
-            return;
-    }
-
-    // q8_0 x fp32
-    if (src0t == GGML_TYPE_Q8_0 && src1t == GGML_TYPE_F32 &&
-        enable_adreno_trans_weight(backend_ctx, src0)) {
-            ggml_cl_mul_mat_q8_0_f32_adreno(backend, src0, src1, dst);
-            return;
-    }
-
-    // q4_k x fp32
-    if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) {
-            ggml_cl_mul_mat_q4_k_f32_adreno(backend, src0, src1, dst);
-            return;
-    }
-
-    // q6_K x fp32
-    if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) {
-        ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst);
-        return;
-    }
-
-    // q4_0 x fp32
-    if(src0t == GGML_TYPE_Q4_0 && src1t == GGML_TYPE_F32) {
-        // TODO: remove duplicate definitions of image description + format -- move to top
-
-        // create an image for A
-        // <--------------------------------------------> //
-        if (N == 1) {
-            img_fmt_1d = { CL_R, CL_UNSIGNED_INT32};
-        } else {
-            img_fmt_1d = { CL_R, CL_FLOAT};
-        }
-        memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-        img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-        img_desc_1d.image_width = M * K / 2 / 4;    // Divide by 4 for char -> float
-        img_desc_1d.buffer = extra0_q4_0->q;
-        A_image1d = clCreateImage(
-            context,
-            CL_MEM_READ_ONLY,
-            &img_fmt_1d,
-            &img_desc_1d,
-            NULL,
-            &status);
-        CL_CHECK(status);
-        // <--------------------------------------------> //
-
-
-        // create a sub_buffer for B
-        // <--------------------------------------------> //
-        region.origin = (extra1->offset);
-        region.size = K * N * sizeof(float);
-        B_sub_buffer = clCreateSubBuffer(
-            extra1->data_device,
-            0,
-            CL_BUFFER_CREATE_TYPE_REGION,
-            &region,
-            &status);
-        CL_CHECK(status);
-        // <--------------------------------------------> //
-
-        // transpose activation for Skyler's gemm
-        if (N != 1) {
-            //how many extra elements beyond multiple of 8
-            int extra_elements = N % 8;
-
-            //how much padding to add
-            padding = 0;
-            if (extra_elements > 0){
-                padding = 8 - extra_elements;
-            }
-
-            // Specify the starting offset (in bytes)
-            region.origin = 0;
-            // Specify the size of the sub-buffer (divide by 2 for FP16)
-            region.size = K * (N + padding) * sizeof(float)/2;
-            backend_ctx->prealloc_act_trans.allocate(context, region.size);
-
-            B_d = clCreateSubBuffer(
-                backend_ctx->prealloc_act_trans.buffer,
-                0,
-                CL_BUFFER_CREATE_TYPE_REGION,
-                &region,
-                &status);
-            CL_CHECK(status);
-
-            cl_image_format image_format_B_d_input = { CL_RGBA, CL_FLOAT };
-            cl_image_desc image_desc_B_d_input = {
-                CL_MEM_OBJECT_IMAGE1D_BUFFER,
-                static_cast<size_t>(K * N / 4),
-                0, 0, 0, 0, 0, 0, 0, { B_sub_buffer }
-            };
-            B_d_input_image = clCreateImage(
-                context,
-                0,
-                &image_format_B_d_input,
-                &image_desc_B_d_input,
-                NULL,
-                &status);
-            CL_CHECK(status);
-
-            cl_image_format image_format_B_d_output = { CL_RGBA, CL_HALF_FLOAT }; //(CL_HALF_FLOAT for FP16)
-            cl_image_desc image_desc_B_d_output = {
-                CL_MEM_OBJECT_IMAGE1D_BUFFER,
-                static_cast<size_t>(K * (N + padding)/4),
-                0, 0, 0, 0, 0, 0, 0, { B_d }
-            };
-            B_image1d = clCreateImage(
-                context,
-                0,
-                &image_format_B_d_output,
-                &image_desc_B_d_output,
-                NULL,
-                &status);
-            CL_CHECK(status);
-
-            int height_B = N/4;
-            if (height_B == 0) {
-                height_B = 1;
-            }
-            int width_B = K/4;
-            int padded_height_B = (N + padding)/4;
-
-            kernel = backend_ctx->kernel_transpose_32_16;
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &B_d_input_image));
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &B_image1d));
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
-            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
-
-            size_t local_size_t[2] = { 1, 16 };
-            //WGS tuning
-            if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) {
-                local_size_t[0]=4;
-                local_size_t[1]=8;
-            } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) {
-                local_size_t[0]=2;
-                local_size_t[1]=8;
-            } else if(ne0 == 4096 && ne1 == 128 && ne10 == 11008) {
-                local_size_t[0]=1;
-                local_size_t[1]=8;
-            } else if(ne0 == 32000 && ne1 == 128 && ne10 == 4096) {
-                local_size_t[0]=2;
-                local_size_t[1]=8;
-            }
-
-            size_t global_size_t[2] = {
-                static_cast<size_t>(width_B),
-                static_cast<size_t>(padded_height_B)
-            };
-
-            backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_size_t, local_size_t, dst);
-        } else {
-            // no need to transpose B in other cases
-            // create an image for B from sub_buffer
-            // <--------------------------------------------> //
-            img_fmt_1d = {CL_RGBA, CL_FLOAT};
-
-            memset(&img_desc_1d, 0, sizeof(img_desc_1d));
-            img_desc_1d.image_width = K * N / 4;
-            img_desc_1d.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
-            img_desc_1d.buffer = B_sub_buffer;
-            B_image1d = clCreateImage(
-                context,
-                CL_MEM_READ_ONLY,
-                &img_fmt_1d,
-                &img_desc_1d,
-                NULL,
-                &status);
-            CL_CHECK(status);
-            // <--------------------------------------------> //
-        }
-
-        // choose gemm or gemv kernel
-        // <--------------------------------------------> //
-        if (N == 1) {
-            kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_general;
-            if (M == 4096 && K == 4096) {
-                kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_4096;
-            } else if (M == 4096 && K == 11008) {
-                kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_4096_1_11008;
-            } else if (M == 11008 && K == 4096) {
-                kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_11008_1_4096;
-            } else if (M == 32000 && K == 4096) {
-                kernel = backend_ctx->CL_mul_mat_vec_q4_0_f32_1d_4x_flat_32000_1_4096;
-            }
-        } else {
-            kernel = backend_ctx->CL_mul_mat_Ab_Bi_8x4;
-        }
-        // <--------------------------------------------> //
-
-        // set kernel args
-        // <--------------------------------------------> //
-        cl_uint k_arg = 0;
-
-        if (N == 1) {
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &A_image1d));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extra0_q4_0->d));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &B_image1d));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extra1->offset));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_mem),   &extrad->data_device));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(cl_ulong), &extrad->offset));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne00));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne01));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne02));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne10));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne12));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne0));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &ne1));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r2));
-            CL_CHECK(clSetKernelArg(kernel,  k_arg++, sizeof(int),      &r3));
-        } else {
-            region.origin = extrad->offset; // Specify the starting offset (in bytes)
-            region.size = M * N * sizeof(float); // Specify the size of the sub-buffer
-            C_d = clCreateSubBuffer(extrad->data_device, CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-            CL_CHECK(status);
-
-            int padded_N = ne1 + padding;
-
-            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0_q4_0->q)); //A_q_dextra0_q4_0->q
-            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra0_q4_0->d)); //A_s_d
-            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &B_image1d)); //B_d
-            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &C_d)); //C_d
-            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &ne01)); //M
-            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int),    &padded_N)); //N with padding
-            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int),    &ne00)); //K
-            CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int),    &ne1)); //N without padding
-        }
-        // <--------------------------------------------> //
-
-        // choose workgroup size
-        // <--------------------------------------------> //
-        size_t global_work_size[3] = {
-            64, static_cast<size_t>((M+63)/64), static_cast<size_t>((N+31)/32)};
-        size_t local_work_size[3] = {64, 2, 4};
-
-        global_work_size[0] = (size_t)(ceil((float)ne1/8));
-        global_work_size[1] = (size_t)(ne01/4);
-        global_work_size[2] = (size_t)(1);
-
-        local_work_size[0]  = (size_t)(1); //4x32 for FP32
-        local_work_size[1]  = (size_t)(128);
-        local_work_size[2]  = (size_t)(1);
-
-        //WGS tuning
-        if (ne0 == 4096 && ne1 == 128 && ne10 == 4096) {
-            local_work_size[0] = 1;
-            local_work_size[1] = 128;
-        } else if (ne0 == 11008 && ne1 == 128 && ne10 == 4096) {
-            local_work_size[0] = 2;
-            local_work_size[1] = 64;
-        } else if (ne0 == 4096 && ne1 == 128 && ne10 == 11008) {
-            local_work_size[0] = 2;
-            local_work_size[1] = 64;
-        } else if (ne0 == 32000 && ne1 == 128 && ne10 == 4096) {
-            local_work_size[0] = 2;
-            local_work_size[1] = 64;
+            if (!ggml_is_contiguous(src0) && ggml_is_contiguous(src1) &&
+                ((nb02 * ne02 / 4)/4 <= backend_ctx->image_max_buffer_size)) {
+                ggml_cl_mul_mat_kq_kqv_adreno(backend, src0, src1, dst);
+                return;
+            }
         }
+    }
 
-        if (N == 1) {
-            size_t wavesize = backend_ctx->adreno_wave_size;
-            local_work_size[0] = wavesize; // localsize
-            local_work_size[1] = 4; // reduce factor
-            local_work_size[2] = 1;
+    if (ne01 && ne1 && use_adreno_kernels(backend_ctx, src0)) {
+        // NOTE: Kernels using image1d_buffer_t (e.g., src0_q) would normally require
+        // a limit check, but q4_0 / q4_1 tensors are very unlikely to exceed that
+        // limit, so the check is omitted.
 
-            global_work_size[0] = (((M / 2) + wavesize - 1) / wavesize) * wavesize;
-            global_work_size[1] = 4; // reduce factor
-            global_work_size[2] = 1;
+        // q4_0 x fp32
+        if(src0t == GGML_TYPE_Q4_0 && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_0_f32_adreno(backend, src0, src1, dst);
+            return;
         }
-        // <--------------------------------------------> //
 
-        // enqueue kernel with profiling
-        // <--------------------------------------------> //
-        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
-        // <--------------------------------------------> //
+        // q4_1 x fp32
+        if (src0t == GGML_TYPE_Q4_1 && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_1_f32_adreno(backend, src0, src1, dst);
+            return;
+        }
 
-        // deallocate sub buffers and images
-        // <--------------------------------------------> //
-        CL_CHECK(clReleaseMemObject(A_image1d));
-        CL_CHECK(clReleaseMemObject(B_sub_buffer));
-        CL_CHECK(clReleaseMemObject(B_image1d));
+        // iq4_nl x fp32
+        if (src0t == GGML_TYPE_IQ4_NL && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_iq4_nl_f32_adreno(backend, src0, src1, dst);
+            return;
+        }
 
-        if (N != 1) {
-            CL_CHECK(clReleaseMemObject(B_d));
-            CL_CHECK(clReleaseMemObject(B_d_input_image));
-            CL_CHECK(clReleaseMemObject(C_d));
+        // q8_0 x fp32
+        if (src0t == GGML_TYPE_Q8_0 && src1t == GGML_TYPE_F32 &&
+            enable_adreno_trans_weight(backend_ctx, src0)) {
+                ggml_cl_mul_mat_q8_0_f32_adreno(backend, src0, src1, dst);
+                return;
         }
-        // <--------------------------------------------> //
 
-        return;
-    }
+        // q4_k x fp32
+        if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_k_f32_adreno(backend, src0, src1, dst);
+            return;
+        }
+
+        // q6_K x fp32
+        if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst);
+            return;
+        }
+
+        // q5_K x fp32
+        if (src0t == GGML_TYPE_Q5_K && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q5_K_f32_adreno(backend, src0, src1, dst);
+            return;
+        }
     } // if (ne01 && ne1)
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
@@ -10877,6 +11629,48 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                 backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
                 return;
             }
+            case GGML_TYPE_IQ4_NL: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
+                }
+
+                kernel = backend_ctx->kernel_mul_mm_iq4_nl_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_iq4_nl->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_iq4_nl->d));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
             case GGML_TYPE_Q4_K: {
                 if (ne11 < 32) {
                     break;
@@ -10921,6 +11715,51 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
                 backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
                 return;
             }
+            case GGML_TYPE_Q5_K: {
+                if (ne11 < 32) {
+                    break;
+                }
+                if (!ggml_is_contiguous(src0) || !ggml_is_contiguous(src1)) {
+                    break;
+                }
+
+                kernel = backend_ctx->kernel_mul_mm_q5_k_f32_l4_lm;
+                nth0 = 128; // calculated as (BM*BN)/(TM*TN)
+
+                int batch_stride_a = ne00*ne01;
+                int batch_stride_b = ne10*ne11;
+                int batch_stride_d = ne0*ne1;
+
+                CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_K->q));
+                CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_K->qh));
+                CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_K->s));
+                CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_K->d));
+                CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_K->dm));
+                CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extra1->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  6, sizeof(cl_ulong), &offset1));
+                CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_mem),   &extrad->data_device));
+                CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &offsetd));
+                CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne00));
+                CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne01));
+                CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne02));
+                CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne11));
+                CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &ne12));
+                CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne10)); // stride_a
+                CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne10)); // stride_b
+                CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &ne01)); // stride_d
+                CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &batch_stride_a));
+                CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &batch_stride_b));
+                CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &batch_stride_d));
+                CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r2));
+                CL_CHECK(clSetKernelArg(kernel, 21, sizeof(int),      &r3));
+
+                // 64 is block tile size BM and BN - change here when BM and BN in the kernel are changed.
+                size_t global_work_size[] = {(size_t)(CEIL_DIV(ne01, 64)*nth0), (size_t)(CEIL_DIV(ne11, 64)), (size_t)ne12*ne13};
+                size_t local_work_size[] = {(size_t)nth0, 1, 1};
+
+                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+                return;
+            }
             case GGML_TYPE_Q6_K: {
                 if (ne11 < 32) {
                     break;
@@ -11359,6 +12198,70 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
             CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &ne1));
             CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &r2));
             CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r3));
+#endif // GGML_OPENCL_SOA_Q
+            break;
+        }
+        case GGML_TYPE_IQ4_NL: {
+#ifdef GGML_OPENCL_SOA_Q
+            kernel = backend_ctx->kernel_mul_mv_iq4_nl_f32_flat;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 8;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 8;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_iq4_nl->q));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_iq4_nl->d));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
+#else
+            kernel = backend_ctx->kernel_mul_mv_iq4_nl_f32;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 4;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_ulong), &offset0));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_ulong), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_ulong), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int),      &ne02));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne10));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &r3));
 #endif // GGML_OPENCL_SOA_Q
             break;
         }
@@ -11438,7 +12341,81 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
 #endif // GGML_OPENCL_SOA_Q
             break;
         }
-        case GGML_TYPE_Q5_K:
+        case GGML_TYPE_Q5_K: {
+#ifdef GGML_OPENCL_SOA_Q
+                kernel = backend_ctx->kernel_mul_mv_q5_K_f32_flat;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 2;
+                ndst = 16;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0_q5_K->q));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(cl_mem),   &extra0_q5_K->qh));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra0_q5_K->s));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(cl_mem),   &extra0_q5_K->d));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extra0_q5_K->dm));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int), &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(int), &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong), &nb01));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb02));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong), &nb03));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong), &nb11));
+            CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong), &nb12));
+            CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong), &nb13));
+            CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 19, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 20, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 21, sizeof(int),      &r3));
+#else
+            kernel = backend_ctx->kernel_mul_mv_q5_K_f32;
+
+            if (backend_ctx->gpu_family == INTEL) {
+                nth0 = 16;
+                nth1 = 1;
+                ndst = 4;
+            } else if (backend_ctx->gpu_family == ADRENO) {
+                nth0 = 64;
+                nth1 = 1;
+                ndst = 4;
+            } else {
+                GGML_ASSERT(false && "TODO: Unknown GPU");
+            }
+
+            CL_CHECK(clSetKernelArg(kernel,  0, sizeof(cl_mem),   &extra0->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  1, sizeof(int),      &offset0));
+            CL_CHECK(clSetKernelArg(kernel,  2, sizeof(cl_mem),   &extra1->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  3, sizeof(int),      &offset1));
+            CL_CHECK(clSetKernelArg(kernel,  4, sizeof(cl_mem),   &extrad->data_device));
+            CL_CHECK(clSetKernelArg(kernel,  5, sizeof(int),      &offsetd));
+            CL_CHECK(clSetKernelArg(kernel,  6, sizeof(int),      &ne00));
+            CL_CHECK(clSetKernelArg(kernel,  7, sizeof(int),      &ne01));
+            CL_CHECK(clSetKernelArg(kernel,  8, sizeof(cl_ulong), &nb01));
+            CL_CHECK(clSetKernelArg(kernel,  9, sizeof(cl_ulong), &nb02));
+            CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong), &nb03));
+            CL_CHECK(clSetKernelArg(kernel, 11, sizeof(int),      &ne12));
+            CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong), &nb11));
+            CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong), &nb12));
+            CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_ulong), &nb13));
+            CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int),      &ne0));
+            CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int),      &ne1));
+            CL_CHECK(clSetKernelArg(kernel, 17, sizeof(int),      &r2));
+            CL_CHECK(clSetKernelArg(kernel, 18, sizeof(int),      &r3));
+#endif // GGML_OPENCL_SOA_Q
+            break;
+        }
         case GGML_TYPE_Q6_K:
 #ifdef GGML_OPENCL_SOA_Q
             kernel = backend_ctx->kernel_mul_mv_q6_K_f32_flat;
@@ -11587,6 +12564,7 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     if (src0t == GGML_TYPE_Q4_0 || src0t == GGML_TYPE_MXFP4 ||
         src0t == GGML_TYPE_Q4_1 ||
         src0t == GGML_TYPE_Q8_0 ||
+        src0t == GGML_TYPE_IQ4_NL ||
         src0t == GGML_TYPE_Q2_K) {
         // Each SIMD group produces N_DST values in the result. Assuming each
         // workgroup has N_SIMDGROUP SIMD groups, then each workgroup will
@@ -11606,7 +12584,10 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     } else if (src0t == GGML_TYPE_Q3_K) {
         GGML_ASSERT(false && "not implemented");
     } else if (src0t == GGML_TYPE_Q5_K) {
-        GGML_ASSERT(false && "not implemented");
+        size_t global_work_size[] = {(size_t)(ne01+ndst*nth1-1)/(ndst*nth1)*nth0, (size_t)ne11*nth1, (size_t)ne12*ne13};
+        size_t local_work_size[] = {(size_t)nth0, (size_t)nth1, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
     } else if (src0t == GGML_TYPE_Q6_K) {
         size_t global_work_size[] = {(size_t)(ne01+ndst*nth1-1)/(ndst*nth1)*nth0, (size_t)ne11*nth1, (size_t)ne12*ne13};
         size_t local_work_size[] = {(size_t)nth0, (size_t)nth1, 1};
@@ -11622,6 +12603,118 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
     }
 }
 
+static void moe_router_reoerder(ggml_backend_t backend, const ggml_tensor * src, int ne20) {
+    cl_int err;
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra = (ggml_tensor_extra_cl *)src->extra;
+    cl_ulong offset = extra->offset + src->view_offs;
+
+    const int ne21 = src->ne[1];
+    const int nb21 = src->nb[1];
+    const int ne02 = nb21 / src->nb[0];
+    const int n_tile_size = 32;
+    const int max_post_router_tile = (ne20 * ne21 / n_tile_size) + ne02;
+
+    cl_buffer_region region;
+    region.origin = offset;
+    region.size = nb21 * ne21;
+    cl_mem original_router_buf = clCreateSubBuffer(extra->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_post_router.allocate(backend_ctx->context, sizeof(int) * max_post_router_tile * n_tile_size);
+    region.origin = 0;
+    region.size = sizeof(int) * max_post_router_tile * n_tile_size;
+    cl_mem post_router_buf = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_emap.allocate(backend_ctx->context, sizeof(short) * max_post_router_tile);
+    region.origin = 0;
+    region.size = sizeof(short) * max_post_router_tile;
+    cl_mem emap_buf = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_hist.allocate(backend_ctx->context, sizeof(int) * ne02);
+    region.origin = 0;
+    region.size = sizeof(int) * ne02;
+    cl_mem hist_buf = clCreateSubBuffer(backend_ctx->prealloc_hist.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_tile_offset.allocate(backend_ctx->context, sizeof(int) * ne02);
+    region.origin = 0;
+    region.size = sizeof(int) * ne02;
+    cl_mem tile_offset_buf = clCreateSubBuffer(backend_ctx->prealloc_tile_offset.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_slot_counter.allocate(backend_ctx->context, sizeof(int) * ne02);
+    region.origin = 0;
+    region.size = sizeof(int) * ne02;
+    cl_mem slot_counter_buf = clCreateSubBuffer(backend_ctx->prealloc_slot_counter.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    backend_ctx->prealloc_total_tiles.allocate(backend_ctx->context, sizeof(int));
+    region.origin = 0;
+    region.size = sizeof(int);
+    cl_mem total_tiles_buf = clCreateSubBuffer(backend_ctx->prealloc_total_tiles.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
+    CL_CHECK(err);
+
+    // Histogram
+    cl_kernel kernel = backend_ctx->kernel_moe_histogram;
+    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &original_router_buf));
+    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &hist_buf));
+    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &ne21));
+    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int), &ne20));
+    CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &ne02));
+
+    size_t histogram_global_size[] = {(size_t)(((ne21 + 63) / 64) * 64), static_cast<size_t>(ne20), 1};
+    size_t histogram_local_size[] = {64, static_cast<size_t>(ne20), 1};
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, histogram_global_size, histogram_local_size, src);
+
+    // Scan
+    kernel = backend_ctx->kernel_moe_scan;
+    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &hist_buf));
+    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &tile_offset_buf));
+    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &total_tiles_buf));
+    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &slot_counter_buf));
+    CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int), &n_tile_size));
+    CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne02));
+
+    size_t scan_global_size[] = {1};
+    size_t scan_local_size[] = {1};
+    backend_ctx->enqueue_ndrange_kernel(kernel, 1, scan_global_size, scan_local_size, src);
+
+    // Fill
+    kernel = backend_ctx->kernel_moe_fill;
+    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &post_router_buf));
+    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &total_tiles_buf));
+    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int), &n_tile_size));
+
+    size_t fill_global_size[] = {(size_t)(((max_post_router_tile + 63) / 64) * 64), n_tile_size, 1};
+    size_t fill_local_size[] = {64, 1, 1};
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, fill_global_size, fill_local_size, src);
+
+    // Scatter
+    kernel = backend_ctx->kernel_moe_scatter;
+    CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &original_router_buf));
+    CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &post_router_buf));
+    CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &emap_buf));
+    CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &tile_offset_buf));
+    CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &slot_counter_buf));
+    CL_CHECK(clSetKernelArg(kernel, 5, sizeof(int), &ne21));
+    CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &ne20));
+    CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &ne02));
+
+    backend_ctx->enqueue_ndrange_kernel(kernel, 3, histogram_global_size, histogram_local_size, src);
+
+    CL_CHECK(clReleaseMemObject(original_router_buf));
+    CL_CHECK(clReleaseMemObject(hist_buf));
+    CL_CHECK(clReleaseMemObject(tile_offset_buf));
+    CL_CHECK(clReleaseMemObject(total_tiles_buf));
+    CL_CHECK(clReleaseMemObject(slot_counter_buf));
+    CL_CHECK(clReleaseMemObject(post_router_buf));
+    CL_CHECK(clReleaseMemObject(emap_buf));
+}
+
 static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(src0);
     GGML_ASSERT(src0->extra);
@@ -11683,6 +12776,7 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0,
 
     const int ne0 = dst->ne[0];
     const int ne1 = dst->ne[1];
+    const int ne2 = dst->ne[2];
 
     const int r2 = ne12/ne02;
     const int r3 = ne13/ne03;
@@ -11695,6 +12789,9 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0,
     int nrows = 1;  // number of row in src1
     int ndst  = 4;  // number of values produced by each subgroup
 
+    const int n_tile_size = 32;
+    const int max_post_router_tile = (ne20 * ne21 / n_tile_size) + ne02;
+
     cl_kernel kernel;
 
     // subgroup mat vec
@@ -11826,11 +12923,10 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0,
                 size_t local_size[3] = {64, 2, 1};
                 size_t global_size[3] = {64, 2, 1};
 
-                cl_mem src1_sub_buffer, buf_src1_image, buf_src2;
-
-                int tile_size = 320;
                 if (ne12 == 1) { // for gemv
-                    kernel = backend_ctx->kernel_gemv_moe_mxfp4_f32;
+                    kernel = backend_ctx->kernel_gemv_moe_mxfp4_f32_ns;
+
+                    cl_mem src1_sub_buffer, buf_src1_image, buf_src2;
 
                     // create a sub_buffer for src2
                     cl_buffer_region region;
@@ -11844,78 +12940,154 @@ static void ggml_cl_mul_mat_id(ggml_backend_t backend, const ggml_tensor * src0,
                     global_size[1] = 4;
                     global_size[2] = static_cast<size_t>(ne20);
                     local_size[1] = 4;
+
+                    // create a sub_buffer for src1
+                    region.origin = offset1;
+                    region.size = ne10 * ne11 * ne12 * sizeof(float);
+                    src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
+                    CL_CHECK(status);
+
+                    // create image for src1
+                    cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT};
+                    cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast<size_t>(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}};
+                    buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status);
+                    CL_CHECK(status);
+
+                    // Set kernel args
+                    int arg_idx = 0;
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->q));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->e));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src1_image));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src2));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extrad->data_device));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong),  &offsetd));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne00));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne01));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne11));
+
+                    // launch kernel
+                    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst);
+
+                    // deallocate sub buffers and images
+                    CL_CHECK(clReleaseMemObject(src1_sub_buffer));
+                    CL_CHECK(clReleaseMemObject(buf_src1_image));
+                    CL_CHECK(clReleaseMemObject(buf_src2));
+
                 } else { // for gemm
-                    kernel = backend_ctx->kernel_gemm_moe_mxfp4_f32;
-
-                    // preprocess router table
-                    int num_tiles_per_expert = (ne01 + tile_size - 1) / tile_size;
-                    void * host_src2_reorder = malloc(ne20 * ne21 * 4 * num_tiles_per_expert * sizeof(short));
-                    void * host_src2 = malloc(ne21 * nb21);
-                    CL_CHECK(clEnqueueReadBuffer(backend_ctx->queue, extra2->data_device, CL_TRUE, offset2, ne21 * nb21, host_src2, 0, NULL, NULL));
-                    int total_experts = nb21 / nb20;
-                    int out_idx = 0;
-                    for (int i_expert = 0; i_expert < ne02; i_expert++) {
-                        for (int i_tile = 0; i_tile < num_tiles_per_expert; i_tile++) {
-                            for (int j = 0; j < ne21; j++) {
-                                for (int i = 0; i < ne20; i++) {
-                                    int expert = ((int *)host_src2)[j * total_experts + i];
-                                    if (i_expert == expert) {
-                                        ((short *)host_src2_reorder)[out_idx] = static_cast<short>(expert);
-                                        ((short *)host_src2_reorder)[out_idx + 1] = static_cast<short>(j * ne11 + (i % ne11));
-                                        ((short *)host_src2_reorder)[out_idx + 2] = static_cast<short>(j * ne20 + i);
-                                        ((short *)host_src2_reorder)[out_idx + 3] = static_cast<short>(i_tile);
-                                        out_idx += 4;
-                                    }
-                                }
-                            }
-                        }
+                    kernel = backend_ctx->kernel_gemm_moe_mxfp4_f32_ns;
+
+                    // Reorder router if called from test-backend-ops or when new router is generated.
+                    // Otherwise reuse the reordered result from previous mul_mat_id call.
+                    if ((strstr(src0->name, "as") != NULL) || backend_ctx->toggle_reorder) {
+                        moe_router_reoerder(backend, src2, ne20);
+                        backend_ctx->toggle_reorder = false;
                     }
-                    buf_src2 = clCreateBuffer(backend_ctx->context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, ne20 * ne21 * 4 * num_tiles_per_expert * sizeof(short), host_src2_reorder, &status);
+
+                    cl_mem sub_buf_src1_pre, buf_src1_reordered, image_src1_reordered, sub_buf_dst, buf_dst_image;
+                    cl_mem buf_src2, buf_src2_emap;
+
+                    cl_buffer_region region;
+                    region.origin = 0;
+                    region.size = sizeof(int) * max_post_router_tile * n_tile_size;
+                    GGML_ASSERT(backend_ctx->prealloc_post_router.buffer);
+                    buf_src2 = clCreateSubBuffer(backend_ctx->prealloc_post_router.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
                     CL_CHECK(status);
 
-                    // set thread grid
-                    global_size[0] = static_cast<size_t>(tile_size);
-                    global_size[2] = static_cast<size_t>(ne20 * ne21 * num_tiles_per_expert);
-                }
+                    region.origin = 0;
+                    region.size = sizeof(short) * max_post_router_tile;
+                    buf_src2_emap = clCreateSubBuffer(backend_ctx->prealloc_emap.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
+                    CL_CHECK(status);
 
-                // create a sub_buffer for src1
-                cl_buffer_region region;
-                region.origin = offset1;
-                region.size = ne10 * ne11 * ne12 * sizeof(float);
-                src1_sub_buffer = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
-                CL_CHECK(status);
-
-                // create image for src1
-                cl_image_format image_format_buf_src1 = {CL_RGBA, CL_FLOAT};
-                cl_image_desc image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast<size_t>(ne10 * ne11 * ne12 / 4), 0,0,0,0,0,0,0, {src1_sub_buffer}};
-                buf_src1_image = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status);
-                CL_CHECK(status);
-
-                // Set kernel args
-                int arg_idx = 0;
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->q));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->e));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src1_image));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src2));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extrad->data_device));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_ulong),  &offsetd));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne00));
-                CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne01));
-                if (ne12 == 1) {
-                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne11));
-                } else {
-                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &tile_size));
-                }
+                    // Reorder activations
+                    // create a sub_buffer for src1
+                    region.origin = offset1;
+                    region.size = ne10 * ne11 * ne12 * sizeof(float);
+                    sub_buf_src1_pre = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &status);
+                    CL_CHECK(status);
+
+                    // Create image for reordered src1
+                    // Use pre-allocated placeholder
+                    region.origin = 0;
+                    region.size = ne00 * max_post_router_tile * n_tile_size * sizeof(float);
+                    backend_ctx->prealloc_act_trans.allocate(backend_ctx->context, region.size);
+                    buf_src1_reordered = clCreateSubBuffer(
+                        backend_ctx->prealloc_act_trans.buffer,
+                        0,
+                        CL_BUFFER_CREATE_TYPE_REGION,
+                        &region,
+                        &status);
+                    CL_CHECK(status);
+                    cl_image_format image_format_buf_src1;
+                    cl_image_desc image_desc_buf_src1;
+                    image_format_buf_src1 = {CL_RGBA, CL_FLOAT};
+                    image_desc_buf_src1 = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast<size_t>(ne00 * max_post_router_tile * n_tile_size / 4), 0,0,0,0,0,0,0, {buf_src1_reordered}};
+                    image_src1_reordered = clCreateImage(backend_ctx->context, CL_MEM_READ_ONLY, &image_format_buf_src1, &image_desc_buf_src1, NULL, &status);
+                    CL_CHECK(status);
+
+                    unsigned short map_ratio = ne20 / ne11;
+                    GGML_ASSERT(((map_ratio == 1) || (map_ratio == ne20)) && "Map ratio not supported\n");
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 0, sizeof(cl_mem),        &sub_buf_src1_pre));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 1, sizeof(cl_mem),        &buf_src2));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 2, sizeof(cl_mem),        &buf_src1_reordered));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 3, sizeof(cl_mem),        &(backend_ctx->prealloc_total_tiles.buffer)));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 4, sizeof(unsigned int),  &ne00));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 5, sizeof(unsigned short), &map_ratio));
+                    CL_CHECK(clSetKernelArg(backend_ctx->kernel_moe_reorder_b, 6, sizeof(unsigned int),  &n_tile_size));
+
+                    size_t reorder_b_local_size[3] = {256, 1, 1};
+                    size_t reorder_b_global_size[3] = {static_cast<size_t>(((ne00 / 4) + 255) / 256 * 256), static_cast<size_t>(max_post_router_tile * n_tile_size), 1};
+
+                    // Dispatch reorder kernel
+                    backend_ctx->enqueue_ndrange_kernel(backend_ctx->kernel_moe_reorder_b, 3, reorder_b_global_size, reorder_b_local_size, dst);
+
+                    // MoE kernel prepare
+                    // Create sub buffer for dst
+                    region.origin = offsetd;
+                    region.size = ne0 * ne1 * ne2 * sizeof(float);
+                    sub_buf_dst = clCreateSubBuffer(
+                        extrad->data_device,
+                        0,
+                        CL_BUFFER_CREATE_TYPE_REGION,
+                        &region,
+                        &status);
+                    CL_CHECK(status);
+                    // Create image for dst
+                    cl_image_format image_format_buf_dst = {CL_R, CL_FLOAT};
+                    cl_image_desc image_desc_buf_dst = {CL_MEM_OBJECT_IMAGE1D_BUFFER, static_cast<size_t>(ne0 * ne1 * ne2), 0,0,0,0,0,0,0, {sub_buf_dst}};
+                    buf_dst_image = clCreateImage(backend_ctx->context, CL_MEM_WRITE_ONLY, &image_format_buf_dst, &image_desc_buf_dst, NULL, &status);
+                    CL_CHECK(status);
 
-                // launch kernel
-                backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst);
+                    // Set kernel args
+                    int arg_idx = 0;
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->q_img));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &extra0_mxfp4->e));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &image_src1_reordered));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src2));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_src2_emap));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &buf_dst_image));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(cl_mem),    &(backend_ctx->prealloc_total_tiles.buffer)));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne00));
+                    CL_CHECK(clSetKernelArg(kernel, arg_idx++, sizeof(int),       &ne01));
 
-                // deallocate sub buffers and images
-                CL_CHECK(clReleaseMemObject(src1_sub_buffer));
-                CL_CHECK(clReleaseMemObject(buf_src1_image));
-                CL_CHECK(clReleaseMemObject(buf_src2));
+                    // set thread grid
+                    global_size[1] = static_cast<size_t>((ne01 + 63) / 64);
+                    global_size[2] = static_cast<size_t>(max_post_router_tile);
+                    local_size[1] = 1;
+                    local_size[2] = 1;
+
+                    // Dispatch kernel
+                    backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_size, local_size, dst);
+
+                    clReleaseMemObject(sub_buf_src1_pre);
+                    clReleaseMemObject(buf_src1_reordered);
+                    clReleaseMemObject(image_src1_reordered);
+                    clReleaseMemObject(buf_src2);
+                    clReleaseMemObject(buf_src2_emap);
+                    clReleaseMemObject(sub_buf_dst);
+                    clReleaseMemObject(buf_dst_image);
+                }
                 return;
-            } // else fallback to generic kernel
+            } // fallback to generic MoE mxfp4 kernel
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
 
 #ifdef GGML_OPENCL_SOA_Q
@@ -12861,6 +14033,13 @@ static void ggml_cl_argsort(ggml_backend_t backend, const ggml_tensor * src0, co
     size_t local_work_size[] = {(size_t)ne00_padded, 1, 1};
 
     backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    const int ne21 = dst->ne[1];
+    if ((strstr(src0->name, "_moe") != NULL) && (ne21 != 1)) {
+        backend_ctx->toggle_reorder = true;
+    }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
 }
 
 static void ggml_cl_sum_rows(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
diff --git a/ggml/src/ggml-opencl/kernels/cvt.cl b/ggml/src/ggml-opencl/kernels/cvt.cl
index 81fe17fa1..c1ad46f44 100644
--- a/ggml/src/ggml-opencl/kernels/cvt.cl
+++ b/ggml/src/ggml-opencl/kernels/cvt.cl
@@ -66,6 +66,17 @@ struct block_q4_K {
     uchar q[QK_K / 2]; // nibbles / quants
 };
 
+//------------------------------------------------------------------------------
+// block_q5_k
+//------------------------------------------------------------------------------
+struct block_q5_K {
+    half d; // delta
+    half dm; // min
+    uchar s[K_SCALE_SIZE];
+    uchar qh[QK_K / 8];
+    uchar qs[QK_K / 2]; // nibbles / quants
+};
+
 //------------------------------------------------------------------------------
 // block_q6_K
 //------------------------------------------------------------------------------
@@ -76,6 +87,17 @@ struct block_q6_K {
     half d;                  // super-block scale
 };
 
+//------------------------------------------------------------------------------
+// block_iq4_nl
+//------------------------------------------------------------------------------
+#define QK4_NL 32
+
+struct block_iq4_nl
+{
+    half d;
+    uint8_t qs[QK4_NL / 2];
+};
+
 //------------------------------------------------------------------------------
 // kernel_convert_block_q4_0
 // Convert the block_q4_0 format to 2 separate arrays (AOS -> SOA).
@@ -349,6 +371,93 @@ kernel void kernel_restore_block_mxfp4_trans(
     b->e = src_e[src_blk_offset];
 }
 
+kernel void kernel_convert_block_mxfp4_trans4_ns(
+    global struct block_mxfp4 * src0,
+    __global uint * dst_q,
+    __global uchar * dst_e,
+    uint ne00,
+    uint ne01
+) {
+    uint i00 = get_global_id(1);
+    uint i01 = get_global_id(0);
+    uint i02 = get_global_id(2);
+
+    uint ne00_blk = ne00 / QK_MXFP4;
+    uint src_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01;
+    uint dst_blk_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01;
+
+    global struct block_mxfp4 * b = src0 + src_blk_offset;
+    dst_e[dst_blk_offset] = b->e;
+
+    // extract quantization and unshuffle
+    ushort8 pre_block = ((global ushort8 *)(&(b->qs[0])))[0];
+
+    ushort8 post_block = (ushort8)(0);
+
+    uchar * pre_block_ptr = (uchar *)(&pre_block);
+    uchar * post_block_ptr = (uchar *)(&post_block);
+
+    for (int i = 0; i < QK_MXFP4 / 4; ++i) {
+        uchar x0 = pre_block_ptr[2*i + 0];
+        uchar x1 = pre_block_ptr[2*i + 1];
+
+        post_block_ptr[i + 0        ] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4);
+        post_block_ptr[i + QK_MXFP4 / 4] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0);
+    }
+
+    uint4 q_block = as_uint4(post_block);
+
+    uint offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01;
+    dst_q[offset] = q_block.x;
+    dst_q[offset + ne01] = q_block.y;
+    dst_q[offset + ne01 * 2] = q_block.z;
+    dst_q[offset + ne01 * 3] = q_block.w;
+}
+
+kernel void kernel_restore_block_mxfp4_trans4_ns(
+    __global uint * src_q,
+    __global uchar * src_e,
+    __global struct block_mxfp4 * dst0,
+    uint ne00,
+    uint ne01
+) {
+    uint i00 = get_global_id(1);
+    uint i01 = get_global_id(0);
+    uint i02 = get_global_id(2);
+
+    uint ne00_blk = ne00 / QK_MXFP4;
+    uint dst_blk_offset = i00 + i01 * ne00_blk + i02 * ne00_blk * ne01;
+    uint src_d_offset = i01 + i00 * ne01 + i02 * ne00_blk * ne01;
+
+    __global struct block_mxfp4 * b = dst0 + dst_blk_offset;
+    b->e = src_e[src_d_offset];
+
+    // collect transposed quantization parts for a block
+    uint src_q_offset = i02 * ne00_blk * ne01 * 4 + i00 * ne01 * 4 + i01;
+    uint4 q_block;
+    q_block.x = src_q[src_q_offset];
+    q_block.y = src_q[src_q_offset + ne01];
+    q_block.z = src_q[src_q_offset + ne01 * 2];
+    q_block.w = src_q[src_q_offset + ne01 * 3];
+
+    ushort8 post_block = as_ushort8(q_block);
+    ushort8 pre_block = (ushort8)(0);
+
+    uchar * pre_block_ptr = (uchar *)(&pre_block);
+    uchar * post_block_ptr = (uchar *)(&post_block);
+
+    for (int i = 0; i < QK_MXFP4 / 4; ++i) {
+        uchar x0 = post_block_ptr[i + 0];
+        uchar x1 = post_block_ptr[i + QK_MXFP4 / 4];
+
+        pre_block_ptr[2 * i + 0] = convert_uchar(x0 & 0x0F) | convert_uchar((x1 & 0x0F) << 4);
+        pre_block_ptr[2 * i + 1] = convert_uchar((x0 & 0xF0) >> 4) | convert_uchar(x1 & 0xF0);
+    }
+
+    ((__global ushort8 *)(&(b->qs[0])))[0] = pre_block;
+}
+
+
 //------------------------------------------------------------------------------
 // block_q8_0
 //------------------------------------------------------------------------------
@@ -546,6 +655,161 @@ kernel void kernel_restore_block_q4_K_noshuffle(
     }
 }
 
+//------------------------------------------------------------------------------
+// kernel_convert_block_q5_K
+// Convert the block_q5_K format to 5 separate arrays (AOS -> SOA).
+// Each thread processes a super block.
+//------------------------------------------------------------------------------
+kernel void kernel_convert_block_q5_K(
+    global struct block_q5_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_qh,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) dst_qh + QK_K/8*get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        q[i] = b->qs[i];
+    }
+    for (int i = 0; i < QK_K/8; ++i) {
+        qh[i] = b->qh[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+// Restore block_q5_K from flattened arrays.
+// Each thread processes a super block.
+kernel void kernel_restore_block_q5_K(
+    global uchar * src_q,
+    global uchar * src_qh,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q5_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2*get_global_id(0);
+    global uchar * qh = (global uchar *) src_qh + QK_K/8*get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE*get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d    = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K/2; ++i) {
+        b->qs[i] = q[i];
+    }
+    for (int i = 0; i < QK_K/8; ++i) {
+        b->qh[i] = qh[i];
+    }
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
+kernel void kernel_convert_block_q5_K_noshuffle(
+    global struct block_q5_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_qh,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2       * get_global_id(0);
+    global uchar * qh = (global uchar *) dst_qh + QK_K/8       * get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar x0 = b->qs[i*32 + 2*j];
+            uchar x1 = b->qs[i*32 + 2*j + 1];
+            q[i*32 + j]      = convert_uchar(x0 & mask_0F) | convert_uchar((x1 & mask_0F) << 4);
+            q[i*32 + j + 16] = convert_uchar((x0 & mask_F0) >> 4) | convert_uchar(x1 & mask_F0);
+        }
+    }
+
+    for (int l = 0; l < QK_K/8; ++l) {
+        uchar x0 = 0;
+        for (int i = 0; i < 8; ++i) {
+            x0 |= ((b->qh[(l%4)*8+i] >> (l/4)) & 0x01) << i;
+        }
+        qh[l] = x0;
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+kernel void kernel_restore_block_q5_K_noshuffle(
+    global uchar * src_q,
+    global uchar * src_qh,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q5_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q5_K * b  = (global struct block_q5_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2       * get_global_id(0);
+    global uchar * qh = (global uchar *) src_qh + QK_K/8       * get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d  = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar lo = q[i*32 + j];
+            uchar hi = q[i*32 + j + 16];
+            b->qs[i*32 + 2*j]     = convert_uchar((lo & mask_0F) | ((hi & mask_0F) << 4));
+            b->qs[i*32 + 2*j + 1] = convert_uchar(((lo & mask_F0) >> 4) | (hi & mask_F0));
+        }
+    }
+
+    for (int g = 0; g < 4; ++g) {
+        for (int i = 0; i < 8; ++i) {
+            uchar x0 = 0;
+            for (int k = 0; k < 8; ++k) {
+                x0 |= ((qh[4*k+g] >> i) & 0x01) << k;
+            }
+            b->qh[g*8+i] = x0;
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
 //------------------------------------------------------------------------------
 // kernel_convert_block_q6_K
 // Convert the block_q6_K format to 3 separate arrays (AOS -> SOA).
@@ -729,3 +993,99 @@ kernel void kernel_restore_block_q6_K_noshuffle(
         b->scales[i] = s[i];
     }
 }
+
+//------------------------------------------------------------------------------
+// kernel_convert_block_iq4_nl
+// Convert the block_iq4_nl format to 2 separate arrays (AOS -> SOA).
+//------------------------------------------------------------------------------
+kernel void kernel_convert_block_iq4_nl(
+    global struct block_iq4_nl * src0,
+    global uchar * dst_q,
+    global half  * dst_d,
+    uchar          mask_0F,
+    uchar          mask_F0,
+    ulong          n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_iq4_nl * b = (global struct block_iq4_nl *) src0 + get_global_id(0);
+    global uchar * q = (global uchar *) dst_q + QK4_NL/2*get_global_id(0);
+    global half  * d = (global half *) dst_d + get_global_id(0);
+
+    *d = b->d;
+
+    for (int i = 0; i < QK4_NL/2; ++i) {
+        q[i] = b->qs[i];
+    }
+}
+
+kernel void kernel_restore_block_iq4_nl(
+    global uchar * src_q,
+    global half  * src_d,
+    global struct block_iq4_nl * dst,
+    ulong          n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_iq4_nl * b = (global struct block_iq4_nl *) dst + get_global_id(0);
+    global uchar * q = (global uchar *) src_q + QK4_NL/2*get_global_id(0);
+    global half  * d = (global half *) src_d + get_global_id(0);
+
+    b->d = *d;
+
+    for (int i = 0; i < QK4_NL/2; ++i) {
+        b->qs[i] = q[i];
+    }
+}
+
+kernel void kernel_convert_block_iq4_nl_noshuffle(
+    global struct block_iq4_nl * src0,
+    global uchar * dst_q,
+    global half  * dst_d,
+    uchar          mask_0F,
+    uchar          mask_F0,
+    ulong          n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_iq4_nl * b = (global struct block_iq4_nl *) src0 + get_global_id(0);
+    global uchar * q = (global uchar *) dst_q + QK4_NL/2*get_global_id(0);
+    global half  * d = (global half *) dst_d + get_global_id(0);
+
+    *d = b->d;
+    for (int i = 0; i < QK4_NL/4; ++i) {
+        uchar x0 = b->qs[2*i + 0];
+        uchar x1 = b->qs[2*i + 1];
+
+        q[i + 0       ] = convert_uchar(x0 & mask_0F) | convert_uchar((x1 & mask_0F) << 4);
+        q[i + QK4_NL/4] = convert_uchar((x0 & mask_F0) >> 4) | convert_uchar(x1 & mask_F0);
+    }
+}
+
+kernel void kernel_restore_block_iq4_nl_noshuffle(
+    global uchar * src_q,
+    global half  * src_d,
+    global struct block_iq4_nl * dst,
+    uchar mask_0F,
+    uchar mask_F0,
+    ulong n_blk
+) {
+    if (get_global_id(0) >= n_blk) {
+        return;
+    }
+    global struct block_iq4_nl * b = (global struct block_iq4_nl *) dst + get_global_id(0);
+    global uchar * q = (global uchar *) src_q + QK4_NL/2*get_global_id(0);
+    global half  * d = (global half *) src_d + get_global_id(0);
+
+    b->d = *d;
+    for (int i = 0; i < QK4_NL/4; ++i) {
+        uchar x0 = q[i + 0       ];
+        uchar x1 = q[i + QK4_NL/4];
+
+        b->qs[2*i + 0] = convert_uchar((x0 & mask_0F) | ((x1 & mask_0F) << 4));
+        b->qs[2*i + 1] = convert_uchar(((x0 & mask_F0) >> 4) | (x1 & mask_F0));
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl
new file mode 100644
index 000000000..e404f392b
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_moe_mxfp4_f32_ns.cl
@@ -0,0 +1,302 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#pragma OPENCL EXTENSION cl_qcom_subgroup_uniform_load: enable
+#pragma OPENCL EXTENSION cl_qcom_subgroup_constant_load: enable
+#pragma OPENCL EXTENSION cl_qcom_extra_vector_types : enable
+
+#define TILESIZE_K 16
+#define TILESIZE_M 64
+#define TILESIZE_N 32
+
+
+static inline half8 mxfp4_to_fp16_packed8(ushort2 fp4x8) {
+    ushort2 fp16_packed_a_0, fp16_packed_b_0, bias_a, bias_b, sign_a, sign_b;
+    fp16_packed_a_0.lo = (fp4x8.s0 << 9) & 0x0E00;
+    fp16_packed_a_0.hi = (fp4x8.s0 << 5) & 0x0E00;
+    fp16_packed_b_0.lo = (fp4x8.s0 << 1) & 0x0E00;
+    fp16_packed_b_0.hi = (fp4x8.s0 >> 3) & 0x0E00;
+
+    bias_a.lo = (fp16_packed_a_0.lo != 0) ? 0x3800 : 0x0;
+    bias_a.hi = (fp16_packed_a_0.hi != 0) ? 0x3800 : 0x0;
+    bias_b.lo = (fp16_packed_b_0.lo != 0) ? 0x3800 : 0x0;
+    bias_b.hi = (fp16_packed_b_0.hi != 0) ? 0x3800 : 0x0;
+
+    fp16_packed_a_0.lo = (fp16_packed_a_0.lo != 0x0200) ? fp16_packed_a_0.lo : 0x0;
+    fp16_packed_a_0.hi = (fp16_packed_a_0.hi != 0x0200) ? fp16_packed_a_0.hi : 0x0;
+    fp16_packed_b_0.lo = (fp16_packed_b_0.lo != 0x0200) ? fp16_packed_b_0.lo : 0x0;
+    fp16_packed_b_0.hi = (fp16_packed_b_0.hi != 0x0200) ? fp16_packed_b_0.hi : 0x0;
+
+    sign_a.lo = (fp4x8.s0 << 12) & 0x8000;
+    sign_a.hi = (fp4x8.s0 << 8) & 0x8000;
+    sign_b.lo = (fp4x8.s0 << 4) & 0x8000;
+    sign_b.hi = fp4x8.s0 & 0x8000;
+
+    fp16_packed_a_0 = sign_a + bias_a + fp16_packed_a_0;
+    fp16_packed_b_0 = sign_b + bias_b + fp16_packed_b_0;
+
+    ushort2 fp16_packed_a_1, fp16_packed_b_1;
+    fp16_packed_a_1.lo = (fp4x8.s1 << 9) & 0x0E00;
+    fp16_packed_a_1.hi = (fp4x8.s1 << 5) & 0x0E00;
+    fp16_packed_b_1.lo = (fp4x8.s1 << 1) & 0x0E00;
+    fp16_packed_b_1.hi = (fp4x8.s1 >> 3) & 0x0E00;
+
+    bias_a.lo = (fp16_packed_a_1.lo != 0) ? 0x3800 : 0x0;
+    bias_a.hi = (fp16_packed_a_1.hi != 0) ? 0x3800 : 0x0;
+    bias_b.lo = (fp16_packed_b_1.lo != 0) ? 0x3800 : 0x0;
+    bias_b.hi = (fp16_packed_b_1.hi != 0) ? 0x3800 : 0x0;
+
+    fp16_packed_a_1.lo = (fp16_packed_a_1.lo != 0x0200) ? fp16_packed_a_1.lo : 0x0;
+    fp16_packed_a_1.hi = (fp16_packed_a_1.hi != 0x0200) ? fp16_packed_a_1.hi : 0x0;
+    fp16_packed_b_1.lo = (fp16_packed_b_1.lo != 0x0200) ? fp16_packed_b_1.lo : 0x0;
+    fp16_packed_b_1.hi = (fp16_packed_b_1.hi != 0x0200) ? fp16_packed_b_1.hi : 0x0;
+
+    sign_a.lo = (fp4x8.s1 << 12) & 0x8000;
+    sign_a.hi = (fp4x8.s1 << 8) & 0x8000;
+    sign_b.lo = (fp4x8.s1 << 4) & 0x8000;
+    sign_b.hi = fp4x8.s1 & 0x8000;
+
+    fp16_packed_a_1 = sign_a + bias_a + fp16_packed_a_1;
+    fp16_packed_b_1 = sign_b + bias_b + fp16_packed_b_1;
+
+    return as_half8((ushort8)(fp16_packed_a_0, fp16_packed_b_0, fp16_packed_a_1, fp16_packed_b_1));
+}
+
+
+#define dotx16_reduce8(a_reg, b_lm, c_reg, lm_offset) \
+    acc.s0 = dot(a_reg.s0123, b_lm[lm_offset + 0]); \
+    acc.s1 = dot(a_reg.s0123, b_lm[lm_offset + 1]); \
+    acc.s2 = dot(a_reg.s0123, b_lm[lm_offset + 2]); \
+    acc.s3 = dot(a_reg.s0123, b_lm[lm_offset + 3]); \
+    acc.s4 = dot(a_reg.s0123, b_lm[lm_offset + 4]); \
+    acc.s5 = dot(a_reg.s0123, b_lm[lm_offset + 5]); \
+    acc.s6 = dot(a_reg.s0123, b_lm[lm_offset + 6]); \
+    acc.s7 = dot(a_reg.s0123, b_lm[lm_offset + 7]); \
+    acc.s8 = dot(a_reg.s0123, b_lm[lm_offset + 8]); \
+    acc.s9 = dot(a_reg.s0123, b_lm[lm_offset + 9]); \
+    acc.sa = dot(a_reg.s0123, b_lm[lm_offset + 10]); \
+    acc.sb = dot(a_reg.s0123, b_lm[lm_offset + 11]); \
+    acc.sc = dot(a_reg.s0123, b_lm[lm_offset + 12]); \
+    acc.sd = dot(a_reg.s0123, b_lm[lm_offset + 13]); \
+    acc.se = dot(a_reg.s0123, b_lm[lm_offset + 14]); \
+    acc.sf = dot(a_reg.s0123, b_lm[lm_offset + 15]); \
+    acc.s0 += dot(a_reg.s4567, b_lm[lm_offset + 32]); \
+    acc.s1 += dot(a_reg.s4567, b_lm[lm_offset + 33]); \
+    acc.s2 += dot(a_reg.s4567, b_lm[lm_offset + 34]); \
+    acc.s3 += dot(a_reg.s4567, b_lm[lm_offset + 35]); \
+    acc.s4 += dot(a_reg.s4567, b_lm[lm_offset + 36]); \
+    acc.s5 += dot(a_reg.s4567, b_lm[lm_offset + 37]); \
+    acc.s6 += dot(a_reg.s4567, b_lm[lm_offset + 38]); \
+    acc.s7 += dot(a_reg.s4567, b_lm[lm_offset + 39]); \
+    acc.s8 += dot(a_reg.s4567, b_lm[lm_offset + 40]); \
+    acc.s9 += dot(a_reg.s4567, b_lm[lm_offset + 41]); \
+    acc.sa += dot(a_reg.s4567, b_lm[lm_offset + 42]); \
+    acc.sb += dot(a_reg.s4567, b_lm[lm_offset + 43]); \
+    acc.sc += dot(a_reg.s4567, b_lm[lm_offset + 44]); \
+    acc.sd += dot(a_reg.s4567, b_lm[lm_offset + 45]); \
+    acc.se += dot(a_reg.s4567, b_lm[lm_offset + 46]); \
+    acc.sf += dot(a_reg.s4567, b_lm[lm_offset + 47]); \
+    c_reg.lo += convert_float8(acc.lo); \
+    c_reg.hi += convert_float8(acc.hi); \
+    acc.s0 = dot(a_reg.s89ab, b_lm[lm_offset + 64]); \
+    acc.s1 = dot(a_reg.s89ab, b_lm[lm_offset + 65]); \
+    acc.s2 = dot(a_reg.s89ab, b_lm[lm_offset + 66]); \
+    acc.s3 = dot(a_reg.s89ab, b_lm[lm_offset + 67]); \
+    acc.s4 = dot(a_reg.s89ab, b_lm[lm_offset + 68]); \
+    acc.s5 = dot(a_reg.s89ab, b_lm[lm_offset + 69]); \
+    acc.s6 = dot(a_reg.s89ab, b_lm[lm_offset + 70]); \
+    acc.s7 = dot(a_reg.s89ab, b_lm[lm_offset + 71]); \
+    acc.s8 = dot(a_reg.s89ab, b_lm[lm_offset + 72]); \
+    acc.s9 = dot(a_reg.s89ab, b_lm[lm_offset + 73]); \
+    acc.sa = dot(a_reg.s89ab, b_lm[lm_offset + 74]); \
+    acc.sb = dot(a_reg.s89ab, b_lm[lm_offset + 75]); \
+    acc.sc = dot(a_reg.s89ab, b_lm[lm_offset + 76]); \
+    acc.sd = dot(a_reg.s89ab, b_lm[lm_offset + 77]); \
+    acc.se = dot(a_reg.s89ab, b_lm[lm_offset + 78]); \
+    acc.sf = dot(a_reg.s89ab, b_lm[lm_offset + 79]); \
+    acc.s0 += dot(a_reg.scdef, b_lm[lm_offset + 96]); \
+    acc.s1 += dot(a_reg.scdef, b_lm[lm_offset + 97]); \
+    acc.s2 += dot(a_reg.scdef, b_lm[lm_offset + 98]); \
+    acc.s3 += dot(a_reg.scdef, b_lm[lm_offset + 99]); \
+    acc.s4 += dot(a_reg.scdef, b_lm[lm_offset + 100]); \
+    acc.s5 += dot(a_reg.scdef, b_lm[lm_offset + 101]); \
+    acc.s6 += dot(a_reg.scdef, b_lm[lm_offset + 102]); \
+    acc.s7 += dot(a_reg.scdef, b_lm[lm_offset + 103]); \
+    acc.s8 += dot(a_reg.scdef, b_lm[lm_offset + 104]); \
+    acc.s9 += dot(a_reg.scdef, b_lm[lm_offset + 105]); \
+    acc.sa += dot(a_reg.scdef, b_lm[lm_offset + 106]); \
+    acc.sb += dot(a_reg.scdef, b_lm[lm_offset + 107]); \
+    acc.sc += dot(a_reg.scdef, b_lm[lm_offset + 108]); \
+    acc.sd += dot(a_reg.scdef, b_lm[lm_offset + 109]); \
+    acc.se += dot(a_reg.scdef, b_lm[lm_offset + 110]); \
+    acc.sf += dot(a_reg.scdef, b_lm[lm_offset + 111]); \
+    c_reg.lo += convert_float8(acc.lo); \
+    c_reg.hi += convert_float8(acc.hi); \
+
+
+static inline half e8m0_to_fp16(uchar x) {
+    ushort bits;
+    bits = (ushort)(x) - (ushort)(112);
+    bits = ((bits & 0x00E0) != 0) ? 0x7C00 : (bits << 10);
+    return as_half(bits);
+}
+
+static inline float e8m0_to_fp32(uchar x) {
+    int bits;
+    bits = (x == 0) ? 0x00400000 : ((uint) x << 23);
+    return as_float(bits);
+}
+
+
+__attribute__((qcom_wave_pair_mode(1))) // 1=force single 2=force pair
+kernel void kernel_gemm_moe_mxfp4_f32_ns(
+        __read_only  image1d_buffer_t src0_q,
+        __global     uchar *          src0_d,
+        __read_only  image1d_buffer_t src1,
+        __global     uint *           src2,
+        __global     ushort *         src2_emap,
+        __write_only image1d_buffer_t dst,
+        __global     int *            total_tiles,
+        uint ne00,
+        uint ne01
+) {
+    uint block_id_m = get_global_id(1); // m_tile
+    uint block_id_n = get_global_id(2); // n_tile
+
+    // Boundary check
+    if (((get_global_id(0) + block_id_m * TILESIZE_M) >= ne01) || (block_id_n >= total_tiles[0])) {
+        return;
+    }
+
+    __private half16 reg_a;
+    __private float32 reg_c = (float32)(0);
+    __local half4 shared_b[128];
+
+    const ushort expert_id = src2_emap[block_id_n];
+
+    const uint row = block_id_m * TILESIZE_M;
+    const uint col = block_id_n * TILESIZE_N;
+
+    uint sub_block_id_m = get_local_id(0);
+    uint2 b_global_offset;
+    b_global_offset.x = ((sub_block_id_m & 3) << 2) + (sub_block_id_m >> 2) * ne00;
+    b_global_offset.y = b_global_offset.x + (16 * ne00);
+    uint2 b_local_offset;
+    b_local_offset.x = (sub_block_id_m & 3) * 32 + (sub_block_id_m >> 2);
+    b_local_offset.y = b_local_offset.x + 16;
+
+    // Loop along K axis, 32 elements (one block) for each iteration, divided into 2 sub-blocks
+    for (uint step = 0; step < ne00; step += TILESIZE_K * 2) {
+        // First sub-block
+        uint q_sub_offset = row + ((ne01 * step) >> 3) + ((expert_id * ne00 * ne01) >> 3);
+        uint s_sub_offset = row + ((ne01 * step) >> 5) + ((expert_id * ne00 * ne01) >> 5);
+        uint b_sub_offset = col * ne00 + step;
+
+        // Load scale for current mxfp4 block
+        uint s_offset = s_sub_offset + get_global_id(0);
+        float s = e8m0_to_fp32(src0_d[s_offset]);
+
+        // Load 16 fp4 (64-bits) in transposed layout
+        uint2 mxfp4x16;
+        mxfp4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x;
+        mxfp4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x;
+
+        // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements
+        float8 bx8_f32;
+        bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4);
+        bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4);
+        // Convert to half and store to LM to share within the subgroup
+        half8 bx8_f16 = convert_half8(bx8_f32);
+        shared_b[b_local_offset.x] = bx8_f16.lo;
+        shared_b[b_local_offset.y] = bx8_f16.hi;
+
+        // Dequantization
+        reg_a.lo = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.lo)) * s;
+        reg_a.hi = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.hi)) * s;
+
+        sub_group_barrier(CLK_LOCAL_MEM_FENCE);
+
+        // 32 16x16 fp16 dot product with 8 elements reduction for better precision
+        half16 acc;
+        dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0);
+        dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16);
+
+        // Repeat for second sub-block
+        uint half_step = step + TILESIZE_K;
+        q_sub_offset = row + ((ne01 * half_step) >> 3) + ((expert_id * ne00 * ne01) >> 3);
+        b_sub_offset = col * ne00 + half_step;
+
+        // Load next 16 fp4 (64-bits) in transposed layout
+        mxfp4x16.x = read_imageui(src0_q, q_sub_offset + sub_block_id_m).x;
+        mxfp4x16.y = read_imageui(src0_q, q_sub_offset + sub_block_id_m + ne01).x;
+
+        // Load 16x32 floats from matrix B, each fiber out of 64 in a sub-group loads 8 elements
+        bx8_f32.lo = read_imagef(src1, (b_sub_offset + b_global_offset.x) / 4);
+        bx8_f32.hi = read_imagef(src1, (b_sub_offset + b_global_offset.y) / 4);
+        // Convert to half and store to LM to share within the subgroup
+        bx8_f16 = convert_half8(bx8_f32);
+        shared_b[b_local_offset.x] = bx8_f16.lo;
+        shared_b[b_local_offset.y] = bx8_f16.hi;
+
+        // Dequantization
+        reg_a.lo = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.lo)) * s;
+        reg_a.hi = mxfp4_to_fp16_packed8(as_ushort2(mxfp4x16.hi)) * s;
+
+        sub_group_barrier(CLK_LOCAL_MEM_FENCE);
+
+        // 32 16x16 fp16 dot product with 3-levels reduction for better precision
+        dotx16_reduce8(reg_a, shared_b, reg_c.lo, 0);
+        dotx16_reduce8(reg_a, shared_b, reg_c.hi, 16);
+    }
+
+    // Load poster router and share in LM
+    __local uint out_idx[TILESIZE_N];
+
+    if (get_local_id(0) < TILESIZE_N) {
+        uint idx = src2[block_id_n * TILESIZE_N + get_local_id(0)];
+        if (idx == 0xFFFFFFFF) {
+            idx = src2[block_id_n * TILESIZE_N + 0];
+        }
+        out_idx[get_local_id(0)] = idx * ne01;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    // Scatter results back to original position in output grid
+    uint m_offset = row + get_local_id(0);
+
+    write_imagef(dst, out_idx[1] + m_offset, (reg_c.s1));
+    write_imagef(dst, out_idx[2] + m_offset, (reg_c.s2));
+    write_imagef(dst, out_idx[3] + m_offset, (reg_c.s3));
+    write_imagef(dst, out_idx[4] + m_offset, (reg_c.s4));
+    write_imagef(dst, out_idx[5] + m_offset, (reg_c.s5));
+    write_imagef(dst, out_idx[6] + m_offset, (reg_c.s6));
+    write_imagef(dst, out_idx[7] + m_offset, (reg_c.s7));
+    write_imagef(dst, out_idx[8] + m_offset, (reg_c.s8));
+    write_imagef(dst, out_idx[9] + m_offset, (reg_c.s9));
+    write_imagef(dst, out_idx[10] + m_offset, (reg_c.sa));
+    write_imagef(dst, out_idx[11] + m_offset, (reg_c.sb));
+    write_imagef(dst, out_idx[12] + m_offset, (reg_c.sc));
+    write_imagef(dst, out_idx[13] + m_offset, (reg_c.sd));
+    write_imagef(dst, out_idx[14] + m_offset, (reg_c.se));
+    write_imagef(dst, out_idx[15] + m_offset, (reg_c.sf));
+    write_imagef(dst, out_idx[16] + m_offset, (reg_c.sg));
+    write_imagef(dst, out_idx[17] + m_offset, (reg_c.sh));
+    write_imagef(dst, out_idx[18] + m_offset, (reg_c.si));
+    write_imagef(dst, out_idx[19] + m_offset, (reg_c.sj));
+    write_imagef(dst, out_idx[20] + m_offset, (reg_c.sk));
+    write_imagef(dst, out_idx[21] + m_offset, (reg_c.sl));
+    write_imagef(dst, out_idx[22] + m_offset, (reg_c.sm));
+    write_imagef(dst, out_idx[23] + m_offset, (reg_c.sn));
+    write_imagef(dst, out_idx[24] + m_offset, (reg_c.so));
+    write_imagef(dst, out_idx[25] + m_offset, (reg_c.sp));
+    write_imagef(dst, out_idx[26] + m_offset, (reg_c.sq));
+    write_imagef(dst, out_idx[27] + m_offset, (reg_c.sr));
+    write_imagef(dst, out_idx[28] + m_offset, (reg_c.ss));
+    write_imagef(dst, out_idx[29] + m_offset, (reg_c.st));
+    write_imagef(dst, out_idx[30] + m_offset, (reg_c.su));
+    write_imagef(dst, out_idx[31] + m_offset, (reg_c.sv));
+
+    // Store zero padding parts to the index of first output in tile, override correct result in the end
+    barrier(CLK_GLOBAL_MEM_FENCE);
+    write_imagef(dst, out_idx[0] + m_offset, (reg_c.s0));
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_iq4_nl_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_iq4_nl_f32.cl
new file mode 100644
index 000000000..6869d8228
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_iq4_nl_f32.cl
@@ -0,0 +1,150 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+constant half kvalues_iq4nl[16] = {
+    (half)-127.f, (half)-104.f, (half)-83.f, (half)-65.f,
+    (half) -49.f, (half) -35.f, (half)-22.f, (half)-10.f,
+    (half)   1.f, (half)  13.f, (half) 25.f, (half) 38.f,
+    (half)  53.f, (half)  69.f, (half) 89.f, (half)113.f
+};
+
+// Packed LUT: 2 FP16 values per uint, 8 unique constant loads instead of 16
+constant uint iq4nl_packed[8] = {
+    0xD680D7F0u,  // idx 0,1: -127, -104
+    0xD410D530u,  // idx 2,3: -83, -65
+    0xD060D220u,  // idx 4,5: -49, -35
+    0xC900CD80u,  // idx 6,7: -22, -10
+    0x4A803C00u,  // idx 8,9: 1, 13
+    0x50C04E40u,  // idx 10,11: 25, 38
+    0x545052A0u,  // idx 12,13: 53, 69
+    0x57105590u   // idx 14,15: 89, 113
+};
+
+// Packed dequant: 1 uint constant load (8-way divergence) + shift + as_half
+#define IQ4_NL_DEQUANT(nibble) as_half((ushort)(iq4nl_packed[(nibble) >> 1] >> (((nibble) & 1u) << 4)))
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+
+kernel void kernel_gemm_noshuffle_iq4_nl_f32(
+        global const ushort * src0_q,
+        global const half  * src0_d,
+        read_only image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int m,
+        int n,
+        int k,
+        int n_no_padding
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+
+    int m_4 = m >> 2;
+    int n_4 = n >> 2;
+
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    global const ushort * weight_ptr = src0_q + gx_2;
+    global const half * scale_ptr = src0_d + gx_2;
+
+    for (int i = 0; i < k; i += 4) {
+        B.s0123 = read_imageh(src1, gy*2 + (i)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i)*(n_4)+1);
+
+        ushort4 bits4 = vload4(0, weight_ptr + (i/4)*(m));
+
+        half4 scale = vload4(0, scale_ptr + (i/32)*(m));
+
+        // j=0
+        dequantized_weights.s0 = IQ4_NL_DEQUANT(bits4.s0 & 0x000Fu) * scale.s0;
+        dequantized_weights.s1 = IQ4_NL_DEQUANT(bits4.s1 & 0x000Fu) * scale.s1;
+        dequantized_weights.s2 = IQ4_NL_DEQUANT(bits4.s2 & 0x000Fu) * scale.s2;
+        dequantized_weights.s3 = IQ4_NL_DEQUANT(bits4.s3 & 0x000Fu) * scale.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=1
+        B.s0123 = read_imageh(src1, gy*2 + (i+1)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+1)*(n_4)+1);
+        dequantized_weights.s0 = IQ4_NL_DEQUANT((bits4.s0 >> 4) & 0x000Fu) * scale.s0;
+        dequantized_weights.s1 = IQ4_NL_DEQUANT((bits4.s1 >> 4) & 0x000Fu) * scale.s1;
+        dequantized_weights.s2 = IQ4_NL_DEQUANT((bits4.s2 >> 4) & 0x000Fu) * scale.s2;
+        dequantized_weights.s3 = IQ4_NL_DEQUANT((bits4.s3 >> 4) & 0x000Fu) * scale.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=2
+        B.s0123 = read_imageh(src1, gy*2 + (i+2)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+2)*(n_4)+1);
+        dequantized_weights.s0 = IQ4_NL_DEQUANT((bits4.s0 >> 8) & 0x000Fu) * scale.s0;
+        dequantized_weights.s1 = IQ4_NL_DEQUANT((bits4.s1 >> 8) & 0x000Fu) * scale.s1;
+        dequantized_weights.s2 = IQ4_NL_DEQUANT((bits4.s2 >> 8) & 0x000Fu) * scale.s2;
+        dequantized_weights.s3 = IQ4_NL_DEQUANT((bits4.s3 >> 8) & 0x000Fu) * scale.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+
+        // j=3
+        B.s0123 = read_imageh(src1, gy*2 + (i+3)*(n_4));
+        B.s4567 = read_imageh(src1, gy*2 + (i+3)*(n_4)+1);
+        dequantized_weights.s0 = IQ4_NL_DEQUANT((bits4.s0 >> 12) & 0x000Fu) * scale.s0;
+        dequantized_weights.s1 = IQ4_NL_DEQUANT((bits4.s1 >> 12) & 0x000Fu) * scale.s1;
+        dequantized_weights.s2 = IQ4_NL_DEQUANT((bits4.s2 >> 12) & 0x000Fu) * scale.s2;
+        dequantized_weights.s3 = IQ4_NL_DEQUANT((bits4.s3 >> 12) & 0x000Fu) * scale.s3;
+        c0 += B * dequantized_weights.s0;
+        c1 += B * dequantized_weights.s1;
+        c2 += B * dequantized_weights.s2;
+        c3 += B * dequantized_weights.s3;
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if(idx+3 < m*n_no_padding){
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl
similarity index 99%
rename from ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
rename to ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl
index ecb577b99..159378049 100644
--- a/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl
@@ -17,7 +17,7 @@
 REQD_SUBGROUP_SIZE_128
 #endif
 
-kernel void kernel_mul_mat_Ab_Bi_8x4(
+kernel void kernel_gemm_noshuffle_q4_0_f32(
         global const ushort * src0_q,       // quantized A
         global const half  * src0_d,        // A scales
         __read_only image1d_buffer_t src1,  // B (1d image)
diff --git a/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl
new file mode 100644
index 000000000..058c0f7ed
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q5_k_f32.cl
@@ -0,0 +1,176 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+#define QK_K         256
+#define K_SCALE_SIZE 12
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+kernel void kernel_gemm_noshuffle_q5_k_f32(
+    global const ushort * src0_q,
+    global const uchar  * src0_qh,
+    global const uchar  * src0_s,
+    global const half   * src0_d,
+    global const half   * src0_dm,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int m,
+    int n,
+    int k,
+    int n_no_padding,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+    int n_4 = n >> 2;
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    int num_blocks_K = k / QK_K;
+
+    global const ushort * weight_ptr = src0_q  + gx_2;
+    global const uchar  * qh_ptr     = src0_qh + gx_2;
+    global const half   * d_ptr      = src0_d  + gx_2;
+    global const half   * dm_ptr     = src0_dm + gx_2;
+
+    for (int i = 0; i < k; i += 32) {
+        int sb_idx  = i / QK_K;
+        int sub_idx = (i / 32) % 8;
+
+        half4 d  = vload4(0, d_ptr  + sb_idx * m);
+        half4 dm = vload4(0, dm_ptr + sb_idx * m);
+
+        global const uchar * sc0 = src0_s + (gx_2+0) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc1 = src0_s + (gx_2+1) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc2 = src0_s + (gx_2+2) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc3 = src0_s + (gx_2+3) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+
+        uchar sv0, mn0, sv1, mn1, sv2, mn2, sv3, mn3;
+        get_scale_min_k4(sub_idx, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc2, &sv2, &mn2, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc3, &sv3, &mn3, mask_d6, mask_d4, mask_hi2);
+
+        half4 scale = convert_half4(convert_float4(d)  * convert_float4((uchar4)(sv0, sv1, sv2, sv3)));
+        half4 mval  = convert_half4(convert_float4(dm) * convert_float4((uchar4)(mn0, mn1, mn2, mn3)));
+
+        for (int l = 0; l < 32; l += 4) {
+            int ki = i + l;
+            ushort4 bits4   = vload4(0, weight_ptr + (ki/4) * m);
+            uchar4  qh_bits = vload4(0, qh_ptr     + (ki/8) * m);
+            int     qh_shift = ki % 8;
+
+            // j=0
+            B.s0123 = read_imageh(src1, gy*2   + (ki+0) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+0) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x000F) | (((qh_bits.s0 >> (qh_shift+0)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x000F) | (((qh_bits.s1 >> (qh_shift+0)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x000F) | (((qh_bits.s2 >> (qh_shift+0)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x000F) | (((qh_bits.s3 >> (qh_shift+0)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=1
+            B.s0123 = read_imageh(src1, gy*2   + (ki+1) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+1) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0x00F0) >> 4) | (((qh_bits.s0 >> (qh_shift+1)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0x00F0) >> 4) | (((qh_bits.s1 >> (qh_shift+1)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0x00F0) >> 4) | (((qh_bits.s2 >> (qh_shift+1)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0x00F0) >> 4) | (((qh_bits.s3 >> (qh_shift+1)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=2
+            B.s0123 = read_imageh(src1, gy*2   + (ki+2) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+2) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0x0F00) >> 8) | (((qh_bits.s0 >> (qh_shift+2)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0x0F00) >> 8) | (((qh_bits.s1 >> (qh_shift+2)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0x0F00) >> 8) | (((qh_bits.s2 >> (qh_shift+2)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0x0F00) >> 8) | (((qh_bits.s3 >> (qh_shift+2)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=3
+            B.s0123 = read_imageh(src1, gy*2   + (ki+3) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+3) * n_4);
+            dequantized_weights.s0 = (((bits4.s0 & 0xF000) >> 12) | (((qh_bits.s0 >> (qh_shift+3)) & 1) << 4)) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (((bits4.s1 & 0xF000) >> 12) | (((qh_bits.s1 >> (qh_shift+3)) & 1) << 4)) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (((bits4.s2 & 0xF000) >> 12) | (((qh_bits.s2 >> (qh_shift+3)) & 1) << 4)) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (((bits4.s3 & 0xF000) >> 12) | (((qh_bits.s3 >> (qh_shift+3)) & 1) << 4)) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+        }
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl
similarity index 98%
rename from ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl
rename to ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl
index 51ce2121c..7f06a22a2 100644
--- a/ggml/src/ggml-opencl/kernels/mul_mm_q8_0_f32_8x4.cl
+++ b/ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl
@@ -11,7 +11,7 @@
 REQD_SUBGROUP_SIZE_128
 #endif
 
-kernel void kernel_mul_mm_q8_0_f32_8x4(
+kernel void kernel_gemm_noshuffle_q8_0_f32(
         global const uint * src0_q,
         global const half  * src0_d,
         __read_only image1d_buffer_t src1,
diff --git a/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl b/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl
new file mode 100644
index 000000000..e4b44c1a5
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_moe_mxfp4_f32_ns.cl
@@ -0,0 +1,161 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+
+#define QK_MXFP4 32
+#define N_SIMDGROUP 4
+#define SIMDGROUP_WIDTH 64
+
+static inline half8 mxfp4_to_fp16_packed8(ushort2 fp4x8) {
+    ushort2 fp16_packed_a_0, fp16_packed_b_0, bias_a, bias_b, sign_a, sign_b;
+    fp16_packed_a_0.lo = (fp4x8.s0 << 9) & 0x0E00;
+    fp16_packed_a_0.hi = (fp4x8.s0 << 5) & 0x0E00;
+    fp16_packed_b_0.lo = (fp4x8.s0 << 1) & 0x0E00;
+    fp16_packed_b_0.hi = (fp4x8.s0 >> 3) & 0x0E00;
+
+    bias_a.lo = (fp16_packed_a_0.lo != 0) ? 0x3800 : 0x0;
+    bias_a.hi = (fp16_packed_a_0.hi != 0) ? 0x3800 : 0x0;
+    bias_b.lo = (fp16_packed_b_0.lo != 0) ? 0x3800 : 0x0;
+    bias_b.hi = (fp16_packed_b_0.hi != 0) ? 0x3800 : 0x0;
+
+    fp16_packed_a_0.lo = (fp16_packed_a_0.lo != 0x0200) ? fp16_packed_a_0.lo : 0x0;
+    fp16_packed_a_0.hi = (fp16_packed_a_0.hi != 0x0200) ? fp16_packed_a_0.hi : 0x0;
+    fp16_packed_b_0.lo = (fp16_packed_b_0.lo != 0x0200) ? fp16_packed_b_0.lo : 0x0;
+    fp16_packed_b_0.hi = (fp16_packed_b_0.hi != 0x0200) ? fp16_packed_b_0.hi : 0x0;
+
+    sign_a.lo = (fp4x8.s0 << 12) & 0x8000;
+    sign_a.hi = (fp4x8.s0 << 8) & 0x8000;
+    sign_b.lo = (fp4x8.s0 << 4) & 0x8000;
+    sign_b.hi = fp4x8.s0 & 0x8000;
+
+    fp16_packed_a_0 = sign_a + bias_a + fp16_packed_a_0;
+    fp16_packed_b_0 = sign_b + bias_b + fp16_packed_b_0;
+
+    ushort2 fp16_packed_a_1, fp16_packed_b_1;
+    fp16_packed_a_1.lo = (fp4x8.s1 << 9) & 0x0E00;
+    fp16_packed_a_1.hi = (fp4x8.s1 << 5) & 0x0E00;
+    fp16_packed_b_1.lo = (fp4x8.s1 << 1) & 0x0E00;
+    fp16_packed_b_1.hi = (fp4x8.s1 >> 3) & 0x0E00;
+
+    bias_a.lo = (fp16_packed_a_1.lo != 0) ? 0x3800 : 0x0;
+    bias_a.hi = (fp16_packed_a_1.hi != 0) ? 0x3800 : 0x0;
+    bias_b.lo = (fp16_packed_b_1.lo != 0) ? 0x3800 : 0x0;
+    bias_b.hi = (fp16_packed_b_1.hi != 0) ? 0x3800 : 0x0;
+
+    fp16_packed_a_1.lo = (fp16_packed_a_1.lo != 0x0200) ? fp16_packed_a_1.lo : 0x0;
+    fp16_packed_a_1.hi = (fp16_packed_a_1.hi != 0x0200) ? fp16_packed_a_1.hi : 0x0;
+    fp16_packed_b_1.lo = (fp16_packed_b_1.lo != 0x0200) ? fp16_packed_b_1.lo : 0x0;
+    fp16_packed_b_1.hi = (fp16_packed_b_1.hi != 0x0200) ? fp16_packed_b_1.hi : 0x0;
+
+    sign_a.lo = (fp4x8.s1 << 12) & 0x8000;
+    sign_a.hi = (fp4x8.s1 << 8) & 0x8000;
+    sign_b.lo = (fp4x8.s1 << 4) & 0x8000;
+    sign_b.hi = fp4x8.s1 & 0x8000;
+
+    fp16_packed_a_1 = sign_a + bias_a + fp16_packed_a_1;
+    fp16_packed_b_1 = sign_b + bias_b + fp16_packed_b_1;
+
+    return as_half8((ushort8)(fp16_packed_a_0, fp16_packed_b_0, fp16_packed_a_1, fp16_packed_b_1));
+}
+
+static inline float e8m0_to_fp32(uchar x) {
+    int bits;
+    bits = (x == 0) ? 0x00400000 : ((uint) x << 23);
+    return as_float(bits);
+}
+
+
+__attribute__((qcom_reqd_sub_group_size("half")))
+__kernel void kernel_gemv_moe_mxfp4_f32_ns(
+    __global uint * src0_q,
+    __global uchar * src0_e,
+    __read_only image1d_buffer_t src1,
+    __global uint * src2,
+    __global float * dst,
+    ulong         offsetd,
+    int           ne00,
+    int           ne01,
+    int           ne11
+) {
+    uint i01  = get_global_id(0);
+    uint i20  = get_global_id(2);
+    uint sgid = get_local_id(1);
+    uint slid = get_sub_group_local_id();
+
+    uint i11 = i20 % ne11;
+
+    uint expert_id = src2[i20];
+    uint expert_offset = expert_id * ne00 * ne01 / 32;
+
+    __private float sum = 0.0f; // each thread calculate partial sum of one output
+
+    // loop along ne00 in block granularity, skip 4 blocks every iter
+    for (uint ib00 = sgid; ib00 < (ne00 / QK_MXFP4); ib00 += N_SIMDGROUP) {
+
+        // load one block of q
+        uint4 regQ;
+        uint block_offset = expert_offset * 4 + ib00 * ne01 * 4 + i01;
+
+        regQ.s0 = src0_q[block_offset];
+        regQ.s1 = src0_q[block_offset + ne01];
+        regQ.s2 = src0_q[block_offset + ne01 * 2];
+        regQ.s3 = src0_q[block_offset + ne01 * 3];
+
+        uint offset = i11 * ne00 / 4 + ib00 * 8;
+
+        half8 fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s0));
+
+        float4 shared_y4;
+        shared_y4 = read_imagef(src1, (offset + 0));
+        float4 acc = shared_y4 * convert_float4(fp16x8.lo);
+
+        shared_y4 = read_imagef(src1, (offset + 1));
+        acc += shared_y4 * convert_float4(fp16x8.hi);
+
+        fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s1));
+
+        shared_y4 = read_imagef(src1, (offset + 2));
+        acc += shared_y4 * convert_float4(fp16x8.lo);
+
+        shared_y4 = read_imagef(src1, (offset + 3));
+        acc += shared_y4 * convert_float4(fp16x8.hi);
+
+
+        fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s2));
+
+        shared_y4 = read_imagef(src1, (offset + 4));
+        acc += shared_y4 * convert_float4(fp16x8.lo);
+
+        shared_y4 = read_imagef(src1, (offset + 5));
+        acc += shared_y4 * convert_float4(fp16x8.hi);
+
+
+        fp16x8 = mxfp4_to_fp16_packed8(as_ushort2(regQ.s3));
+
+        shared_y4 = read_imagef(src1, (offset + 6));
+        acc += shared_y4 * convert_float4(fp16x8.lo);
+
+        shared_y4 = read_imagef(src1, (offset + 7));
+        acc += shared_y4 * convert_float4(fp16x8.hi);
+
+        uchar regE = src0_e[ib00 * ne01 + i01 + expert_offset];
+        sum += e8m0_to_fp32(regE) * ((acc.s0 + acc.s1) + (acc.s2 + acc.s3));
+    }
+
+    // reduction in local memory, assumes #subgroups=4
+    __local float reduceLM[SIMDGROUP_WIDTH * (N_SIMDGROUP - 1)];
+    if (sgid == 1) reduceLM[SIMDGROUP_WIDTH * 0 + slid] = sum;
+    if (sgid == 2) reduceLM[SIMDGROUP_WIDTH * 1 + slid] = sum;
+    if (sgid == 3) reduceLM[SIMDGROUP_WIDTH * 2 + slid] = sum;
+    barrier(CLK_LOCAL_MEM_FENCE);
+    if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 0 + slid];
+    if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 1 + slid];
+    if (sgid == 0) sum += reduceLM[SIMDGROUP_WIDTH * 2 + slid];
+
+    // 1 outputs per thread in subgroup 0
+    if (sgid == 0) {
+        dst = dst + (offsetd >> 2);
+        dst[i01 + i20 * ne01] = sum;
+    }
+
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_iq4_nl_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_iq4_nl_f32.cl
new file mode 100644
index 000000000..9386bf25a
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_iq4_nl_f32.cl
@@ -0,0 +1,302 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK4_NL 32
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+constant half kvalues_iq4nl[16] = {
+    (half)-127.f, (half)-104.f, (half)-83.f, (half)-65.f,
+    (half) -49.f, (half) -35.f, (half)-22.f, (half)-10.f,
+    (half)   1.f, (half)  13.f, (half) 25.f, (half) 38.f,
+    (half)  53.f, (half)  69.f, (half) 89.f, (half)113.f
+};
+
+// Packed LUT: 2 FP16 values per uint, 8 unique constant loads instead of 16
+constant uint iq4nl_packed[8] = {
+    0xD680D7F0u,  // idx 0,1: -127, -104
+    0xD410D530u,  // idx 2,3: -83, -65
+    0xD060D220u,  // idx 4,5: -49, -35
+    0xC900CD80u,  // idx 6,7: -22, -10
+    0x4A803C00u,  // idx 8,9: 1, 13
+    0x50C04E40u,  // idx 10,11: 25, 38
+    0x545052A0u,  // idx 12,13: 53, 69
+    0x57105590u   // idx 14,15: 89, 113
+};
+
+// Packed dequant: 1 uint constant load (8-way divergence) + shift + as_half
+#define IQ4_NL_DEQUANT(nibble) as_half((ushort)(iq4nl_packed[(nibble) >> 1] >> (((nibble) & 1u) << 4)))
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, scale, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s0 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s1 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s2 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s3 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s4 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s5 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s6 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s7 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, scale, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s0 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s1 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s2 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s3 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s4 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s5 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s6 & 0x000F)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s7 & 0x000F)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x00F0) >> 4)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x00F0) >> 4)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x0F00) >> 8)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x0F00) >> 8)) * scale.s1 * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0xF000) >> 12)) * scale.s0 * shared_y; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0xF000) >> 12)) * scale.s1 * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, scale, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s0 & 0x000F))         * scale.s0 * shared_y.s0; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x00F0) >> 4))  * scale.s0 * shared_y.s1; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x0F00) >> 8))  * scale.s0 * shared_y.s2; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0xF000) >> 12)) * scale.s0 * shared_y.s3; \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s2 & 0x000F))         * scale.s0 * shared_y.s4; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x00F0) >> 4))  * scale.s0 * shared_y.s5; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x0F00) >> 8))  * scale.s0 * shared_y.s6; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0xF000) >> 12)) * scale.s0 * shared_y.s7; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s1 & 0x000F))         * scale.s1 * shared_y.s0; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x00F0) >> 4))  * scale.s1 * shared_y.s1; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x0F00) >> 8))  * scale.s1 * shared_y.s2; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0xF000) >> 12)) * scale.s1 * shared_y.s3; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s3 & 0x000F))         * scale.s1 * shared_y.s4; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x00F0) >> 4))  * scale.s1 * shared_y.s5; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x0F00) >> 8))  * scale.s1 * shared_y.s6; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0xF000) >> 12)) * scale.s1 * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s4 & 0x000F))         * scale.s0 * shared_y.s0; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x00F0) >> 4))  * scale.s0 * shared_y.s1; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x0F00) >> 8))  * scale.s0 * shared_y.s2; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0xF000) >> 12)) * scale.s0 * shared_y.s3; \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s6 & 0x000F))         * scale.s0 * shared_y.s4; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x00F0) >> 4))  * scale.s0 * shared_y.s5; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x0F00) >> 8))  * scale.s0 * shared_y.s6; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0xF000) >> 12)) * scale.s0 * shared_y.s7; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s5 & 0x000F))         * scale.s1 * shared_y.s0; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x00F0) >> 4))  * scale.s1 * shared_y.s1; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x0F00) >> 8))  * scale.s1 * shared_y.s2; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0xF000) >> 12)) * scale.s1 * shared_y.s3; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s7 & 0x000F))         * scale.s1 * shared_y.s4; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x00F0) >> 4))  * scale.s1 * shared_y.s5; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x0F00) >> 8))  * scale.s1 * shared_y.s6; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0xF000) >> 12)) * scale.s1 * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, scale, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s0 & 0x000F))         * scale.s0 * shared_y.s0; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x00F0) >> 4))  * scale.s0 * shared_y.s1; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0x0F00) >> 8))  * scale.s0 * shared_y.s2; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s0 & 0xF000) >> 12)) * scale.s0 * shared_y.s3; \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s2 & 0x000F))         * scale.s0 * shared_y.s4; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x00F0) >> 4))  * scale.s0 * shared_y.s5; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0x0F00) >> 8))  * scale.s0 * shared_y.s6; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s2 & 0xF000) >> 12)) * scale.s0 * shared_y.s7; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s1 & 0x000F))         * scale.s1 * shared_y.s0; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x00F0) >> 4))  * scale.s1 * shared_y.s1; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0x0F00) >> 8))  * scale.s1 * shared_y.s2; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s1 & 0xF000) >> 12)) * scale.s1 * shared_y.s3; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s3 & 0x000F))         * scale.s1 * shared_y.s4; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x00F0) >> 4))  * scale.s1 * shared_y.s5; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0x0F00) >> 8))  * scale.s1 * shared_y.s6; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s3 & 0xF000) >> 12)) * scale.s1 * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s4 & 0x000F))         * scale.s0 * shared_y.s0; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x00F0) >> 4))  * scale.s0 * shared_y.s1; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0x0F00) >> 8))  * scale.s0 * shared_y.s2; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s4 & 0xF000) >> 12)) * scale.s0 * shared_y.s3; \
+    total_sums.s0 += IQ4_NL_DEQUANT((bits4.s6 & 0x000F))         * scale.s0 * shared_y.s4; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x00F0) >> 4))  * scale.s0 * shared_y.s5; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0x0F00) >> 8))  * scale.s0 * shared_y.s6; \
+    total_sums.s0 += IQ4_NL_DEQUANT(((bits4.s6 & 0xF000) >> 12)) * scale.s0 * shared_y.s7; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s5 & 0x000F))         * scale.s1 * shared_y.s0; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x00F0) >> 4))  * scale.s1 * shared_y.s1; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0x0F00) >> 8))  * scale.s1 * shared_y.s2; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s5 & 0xF000) >> 12)) * scale.s1 * shared_y.s3; \
+    total_sums.s1 += IQ4_NL_DEQUANT((bits4.s7 & 0x000F))         * scale.s1 * shared_y.s4; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x00F0) >> 4))  * scale.s1 * shared_y.s5; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0x0F00) >> 8))  * scale.s1 * shared_y.s6; \
+    total_sums.s1 += IQ4_NL_DEQUANT(((bits4.s7 & 0xF000) >> 12)) * scale.s1 * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_iq4_nl_f32(
+        read_only  image1d_buffer_t src0_q,
+        global half2  * src0_d,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid    = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A = M / 2;
+    uint BLOCK_STRIDE_A = NSUBGROUPS * M;
+
+    private uint4     regA;
+    private half2     regS;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    // loop along K in block granularity, skip 4 blocks every iter
+    for (uint k = groupId; k < (K / QK4_NL); k += NSUBGROUPS) {
+        regS = src0_d[gid + k * LINE_STRIDE_A]; // each fiber loads scale of two rows
+        // first 4 fibers in each wave load 8 B values to its private scope
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        // load half weights for two blocks in consecutive rows
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl
similarity index 98%
rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl
rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl
index 469d3edef..106832069 100644
--- a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general.cl
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl
@@ -191,7 +191,7 @@
 #ifdef ADRENO_GPU
 REQD_SUBGROUP_SIZE_64
 #endif
-__kernel void kernel_gemv_noshuffle(
+__kernel void kernel_gemv_noshuffle_q4_0_f32(
         __read_only  image1d_buffer_t src0_q,  // quantized A
         global half2  * src0_d,  // A scales
         __read_only  image1d_buffer_t src1,    // B
@@ -238,21 +238,21 @@ __kernel void kernel_gemv_noshuffle(
         regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
         regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
         regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
-#ifdef VECTOR_SUB_GROUP_BROADCAT
+#ifdef VECTOR_SUB_GROUP_BROADCAST
         dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regB);
 #else
         dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regB);
-#endif // VECTOR_SUB_GROUP_BROADCAT
+#endif // VECTOR_SUB_GROUP_BROADCAST
 
         regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
         regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
         regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
         regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
-#ifdef VECTOR_SUB_GROUP_BROADCAT
+#ifdef VECTOR_SUB_GROUP_BROADCAST
         dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regB);
 #else
         dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regB);
-#endif // VECTOR_SUB_GROUP_BROADCAT
+#endif // VECTOR_SUB_GROUP_BROADCAST
     }
 
     // reduction in local memory, assumes #wave=4
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl
similarity index 98%
rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl
rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl
index ee5c79f00..571a375da 100644
--- a/ggml/src/ggml-opencl/kernels/gemv_noshuffle.cl
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl
@@ -191,7 +191,7 @@
 #ifdef ADRENO_GPU
 REQD_SUBGROUP_SIZE_64
 #endif
-__kernel void kernel_gemv_noshuffle(
+__kernel void kernel_gemv_noshuffle_q4_0_f32(
         __read_only  image1d_buffer_t src0_q,  // quantized A
         global half2  * src0_d,  // A scales
         __read_only  image1d_buffer_t src1,    // B
@@ -232,21 +232,21 @@ __kernel void kernel_gemv_noshuffle(
         regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
         regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
         regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
-#ifdef VECTOR_SUB_GROUP_BROADCAT
+#ifdef VECTOR_SUB_GROUP_BROADCAST
         dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regB);
 #else
         dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regB);
-#endif // VECTOR_SUB_GROUP_BROADCAT
+#endif // VECTOR_SUB_GROUP_BROADCAST
 
         regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
         regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
         regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
         regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
-#ifdef VECTOR_SUB_GROUP_BROADCAT
+#ifdef VECTOR_SUB_GROUP_BROADCAST
         dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regB);
 #else
         dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regB);
-#endif // VECTOR_SUB_GROUP_BROADCAT
+#endif // VECTOR_SUB_GROUP_BROADCAST
     }
 
     // reduction in local memory, assumes #wave=4
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl
new file mode 100644
index 000000000..c40db1666
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q5_k_f32.cl
@@ -0,0 +1,326 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK_K  256
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, bits1, scale, minv, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x000F) | ((bits1.s0 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x000F) | ((bits1.s1 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4) | (((bits1.s0 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4) | (((bits1.s1 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8) | (((bits1.s0 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8) | (((bits1.s1 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s0 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s1 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x000F) | (((bits1.s0 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x000F) | (((bits1.s1 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4) | (((bits1.s0 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4) | (((bits1.s1 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8) | (((bits1.s0 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8) | (((bits1.s1 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s0 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s1 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x000F) | ((bits1.s2 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x000F) | ((bits1.s3 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4) | (((bits1.s2 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4) | (((bits1.s3 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8) | (((bits1.s2 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8) | (((bits1.s3 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s2 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s3 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x000F) | (((bits1.s2 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x000F) | (((bits1.s3 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4) | (((bits1.s2 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4) | (((bits1.s3 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8) | (((bits1.s2 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8) | (((bits1.s3 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s2 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s3 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, bits1, scale, minv, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x000F) | ((bits1.s4 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x000F) | ((bits1.s5 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4) | (((bits1.s4 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4) | (((bits1.s5 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8) | (((bits1.s4 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8) | (((bits1.s5 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s4 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s5 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x000F) | (((bits1.s4 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x000F) | (((bits1.s5 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4) | (((bits1.s4 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4) | (((bits1.s5 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8) | (((bits1.s4 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8) | (((bits1.s5 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s4 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s5 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x000F) | ((bits1.s6 & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x000F) | ((bits1.s7 & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4) | (((bits1.s6 >> 1) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4) | (((bits1.s7 >> 1) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8) | (((bits1.s6 >> 2) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8) | (((bits1.s7 >> 2) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s6 >> 3) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s7 >> 3) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x000F) | (((bits1.s6 >> 4) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x000F) | (((bits1.s7 >> 4) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4) | (((bits1.s6 >> 5) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4) | (((bits1.s7 >> 5) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8) | (((bits1.s6 >> 6) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8) | (((bits1.s7 >> 6) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s6 >> 7) & 0x01) << 4)) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s7 >> 7) & 0x01) << 4)) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, bits1, scale, minv, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x000F)         | ((bits1.s0 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4)  | (((bits1.s0 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8)  | (((bits1.s0 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s0 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s2 & 0x000F)         | (((bits1.s0 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4)  | (((bits1.s0 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8)  | (((bits1.s0 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s0 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s1 & 0x000F)         | ((bits1.s1 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4)  | (((bits1.s1 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8)  | (((bits1.s1 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s1 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s3 & 0x000F)         | (((bits1.s1 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4)  | (((bits1.s1 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8)  | (((bits1.s1 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s1 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x000F)         | ((bits1.s2 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4)  | (((bits1.s2 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8)  | (((bits1.s2 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s2 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s6 & 0x000F)         | (((bits1.s2 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4)  | (((bits1.s2 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8)  | (((bits1.s2 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s2 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s5 & 0x000F)         | ((bits1.s3 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4)  | (((bits1.s3 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8)  | (((bits1.s3 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s3 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s7 & 0x000F)         | (((bits1.s3 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4)  | (((bits1.s3 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8)  | (((bits1.s3 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s3 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, bits1, scale, minv, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x000F)         | ((bits1.s4 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s0 & 0x00F0) >> 4)  | (((bits1.s4 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s0 & 0x0F00) >> 8)  | (((bits1.s4 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s0 & 0xF000) >> 12) | (((bits1.s4 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s2 & 0x000F)         | (((bits1.s4 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s2 & 0x00F0) >> 4)  | (((bits1.s4 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s2 & 0x0F00) >> 8)  | (((bits1.s4 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s2 & 0xF000) >> 12) | (((bits1.s4 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s1 & 0x000F)         | ((bits1.s5 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s1 & 0x00F0) >> 4)  | (((bits1.s5 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s1 & 0x0F00) >> 8)  | (((bits1.s5 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s1 & 0xF000) >> 12) | (((bits1.s5 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s3 & 0x000F)         | (((bits1.s5 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s3 & 0x00F0) >> 4)  | (((bits1.s5 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s3 & 0x0F00) >> 8)  | (((bits1.s5 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s3 & 0xF000) >> 12) | (((bits1.s5 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x000F)         | ((bits1.s6 & 0x01) << 4))         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += ((((bits4.s4 & 0x00F0) >> 4)  | (((bits1.s6 >> 1) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += ((((bits4.s4 & 0x0F00) >> 8)  | (((bits1.s6 >> 2) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += ((((bits4.s4 & 0xF000) >> 12) | (((bits1.s6 >> 3) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += (((bits4.s6 & 0x000F)         | (((bits1.s6 >> 4) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += ((((bits4.s6 & 0x00F0) >> 4)  | (((bits1.s6 >> 5) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += ((((bits4.s6 & 0x0F00) >> 8)  | (((bits1.s6 >> 6) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += ((((bits4.s6 & 0xF000) >> 12) | (((bits1.s6 >> 7) & 0x01) << 4))  * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += (((bits4.s5 & 0x000F)         | ((bits1.s7 & 0x01) << 4))         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += ((((bits4.s5 & 0x00F0) >> 4)  | (((bits1.s7 >> 1) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += ((((bits4.s5 & 0x0F00) >> 8)  | (((bits1.s7 >> 2) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += ((((bits4.s5 & 0xF000) >> 12) | (((bits1.s7 >> 3) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += (((bits4.s7 & 0x000F)         | (((bits1.s7 >> 4) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += ((((bits4.s7 & 0x00F0) >> 4)  | (((bits1.s7 >> 5) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += ((((bits4.s7 & 0x0F00) >> 8)  | (((bits1.s7 >> 6) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += ((((bits4.s7 & 0xF000) >> 12) | (((bits1.s7 >> 7) & 0x01) << 4))  * scale.s1 - minv.s1) * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q5_k_f32(
+        read_only  image1d_buffer_t src0_q,
+        read_only  image1d_buffer_t src0_qh,
+        global half2  * src0_d,
+        global half2  * src0_m,
+        global uchar  * src0_s,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        uchar mask_d6,
+        uchar mask_d4,
+        uchar mask_hi2)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid  = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A     = M / 2;
+    uint BLOCK_STRIDE_A    = NSUBGROUPS * M;
+
+    uint LINE_STRIDE_A_QH  = M / 2;
+    uint BLOCK_STRIDE_A_QH = NSUBGROUPS * M / 2;
+    uint scales_per_row    = (K / QK_K) * 12;
+
+    private uint4     regA;
+    private ushort4   regH;
+    private half2     regS;
+    private half2     regM;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    for (uint k = groupId; k < (K / 32); k += NSUBGROUPS) {
+        uint sb = k / 8;
+        uint j  = k % 8;
+
+        half2 d   = src0_d[gid + sb * LINE_STRIDE_A];
+        half2 dm  = src0_m[gid + sb * LINE_STRIDE_A];
+
+        global const uchar * sc0 = src0_s + 2 * gid * scales_per_row + sb * 12;
+        global const uchar * sc1 = src0_s + (2 * gid + 1) * scales_per_row + sb * 12;
+
+        uchar sv0, mn0, sv1, mn1;
+        get_scale_min_k4(j, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(j, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+
+        regS = convert_half2(convert_float2(d)  * convert_float2((uchar2)(sv0, sv1)));
+        regM = convert_half2(convert_float2(dm) * convert_float2((uchar2)(mn0, mn1)));
+
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        regH.s0 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 0)).x);
+        regH.s1 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 1)).x);
+        regH.s2 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 2)).x);
+        regH.s3 = as_ushort(read_imageh(src0_qh, (gid + k * BLOCK_STRIDE_A_QH + LINE_STRIDE_A_QH * 3)).x);
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), as_uchar8(regH), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl b/ggml/src/ggml-opencl/kernels/gemv_noshuffle_q8_0_f32.cl
similarity index 100%
rename from ggml/src/ggml-opencl/kernels/gemv_noshuffle_general_q8_0_f32.cl
rename to ggml/src/ggml-opencl/kernels/gemv_noshuffle_q8_0_f32.cl
diff --git a/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl b/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl
new file mode 100644
index 000000000..e6295c816
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/moe_reorder_b.cl
@@ -0,0 +1,30 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define QK4_0 32
+
+kernel void kernel_moe_reorder_b(
+    global float4 * src,
+    global uint * router,
+    global float4 * dst,
+    global int * total_tiles,
+    uint K,
+    ushort map_ratio,
+    uint tile_size
+) {
+    uint k_4 = get_global_id(0);
+    uint post_router_idx = get_global_id(1);
+
+    if ((k_4 >= (K / 4)) || (post_router_idx >= total_tiles[0] * tile_size)) {
+        return;
+    }
+
+    uint router_idx = router[post_router_idx];
+
+    float4 out = (float4)(0);
+    if (router_idx != 0xFFFFFFFF) {
+        ushort activation_idx = router_idx / map_ratio;
+        out = src[activation_idx * K / 4 + k_4];
+    }
+
+    dst[post_router_idx * K / 4 + k_4] = out;
+}
diff --git a/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl b/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl
new file mode 100644
index 000000000..d9703429b
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/moe_sort_by_expert.cl
@@ -0,0 +1,82 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+__kernel void kernel_moe_histogram(
+    __global const int * input,
+    __global int * hist,
+    uint N,
+    uint topK,
+    uint n_experts
+) {
+    uint n = get_global_id(0);
+    uint k = get_global_id(1);
+
+    if (n >= N || k >= topK) {
+        return;
+    }
+
+    int expert_id = input[n * n_experts + k];
+    atomic_inc(&hist[expert_id]);
+}
+
+__kernel void kernel_moe_scan(
+    __global int * hist,
+    __global int * tile_offset,
+    __global int * total_tiles,
+    __global int * slot_counter,
+    int tile_size,
+    uint n_experts
+) {
+    int offset = 0;
+    for (int v = 0; v < n_experts; v++) {
+        int count = hist[v];
+        int tiles = (count + tile_size - 1) / tile_size;
+        tile_offset[v] = offset;
+        offset += tiles;
+        hist[v] = 0;
+        slot_counter[v] = 0;
+    }
+
+    *total_tiles = offset;
+}
+
+__kernel void kernel_moe_scatter(
+    __global const int * input,
+    __global int * post_router,
+    __global ushort * emap,
+    __global const int * tile_offset,
+    __global int * slot_counter,
+    int N,
+    int topK,
+    uint n_experts
+) {
+    uint n = get_global_id(0);
+    uint k = get_global_id(1);
+
+    if (n >= N || k >= topK) {
+        return;
+    }
+
+    int val = input[n * n_experts + k];
+
+    int local_slot = atomic_inc(&slot_counter[val]);
+
+    int tile_idx  = tile_offset[val] + (local_slot / 32);
+    int lane      = local_slot % 32;
+    int out_pos   = tile_idx * 32 + lane;
+
+    post_router[out_pos] = n * topK + k;
+    emap[tile_idx] = val;
+}
+
+__kernel void kernel_moe_fill(
+    __global int * post_router,
+    __global int * total_tiles,
+    int tile_size
+) {
+    int tile_id = get_global_id(0);
+    int vec_id_in_tile = get_global_id(1);
+
+    if (tile_id < total_tiles[0]) {
+        post_router[tile_id * tile_size + vec_id_in_tile] = 0xFFFFFFFF;
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_iq4_nl_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_iq4_nl_f32_l4_lm.cl
new file mode 100644
index 000000000..11ff7f8d9
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_iq4_nl_f32_l4_lm.cl
@@ -0,0 +1,171 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 8
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+constant float kvalues_iq4nl[16] = {
+    -127.f, -104.f, -83.f, -65.f, -49.f, -35.f, -22.f, -10.f,
+      1.f,   13.f,  25.f,  38.f,  53.f,  69.f,  89.f, 113.f
+};
+
+kernel void kernel_mul_mm_iq4_nl_f32_l4_lm(
+    global uchar4 * src0_q,
+    global half   * src0_d,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 4;
+                int iqs = idx % 4;
+
+                float d = (float)src0_d[ib];
+                global uchar4 * qs = src0_q + ib*4 + iqs;
+                uchar4 q = *qs;
+                // IQ4_NL: use lookup table instead of linear (nibble - 8)
+                float4 v1 = (float4)(kvalues_iq4nl[(q.s0   )&0x0F], kvalues_iq4nl[(q.s1   )&0x0F],
+                                     kvalues_iq4nl[(q.s2   )&0x0F], kvalues_iq4nl[(q.s3   )&0x0F])*d;
+                float4 v2 = (float4)(kvalues_iq4nl[(q.s0>>4)&0x0F], kvalues_iq4nl[(q.s1>>4)&0x0F],
+                                     kvalues_iq4nl[(q.s2>>4)&0x0F], kvalues_iq4nl[(q.s3>>4)&0x0F])*d;
+
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = v1.s3;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = v2.s0;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = v2.s1;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = v2.s2;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = v2.s3;
+            } else {
+                buf_a[(loadr_a * 4 +  0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 +  3) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 16) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 17) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 18) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * 4 + 19) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl b/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl
new file mode 100644
index 000000000..8e191f57e
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mm_q5_k_f32_l4_lm.cl
@@ -0,0 +1,192 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#define LOAD_VEC_A 4
+#define LOAD_VEC_B 4
+
+#define BM 64
+#define BN 64
+#define BK 32
+#define TM 4
+#define TN 8
+
+kernel void kernel_mul_mm_q5_k_f32_l4_lm(
+    global uchar4 * src0_q,
+    global uchar  * src0_qh,
+    global uchar  * src0_s,
+    global half   * src0_d,
+    global half   * src0_dm,
+    global float4 * src1,
+    ulong offset1,
+    global float  * dst,
+    ulong offsetd,
+
+    int ne00,
+    int ne01,
+    int ne02,
+    int ne11,
+    int ne12,
+
+    int stride_a,
+    int stride_b,
+    int stride_d,
+
+    int batch_stride_a,
+    int batch_stride_b,
+    int batch_stride_d,
+
+    int r2,
+    int r3
+) {
+    src1 = (global float4*)((global char*)src1 + offset1);
+    dst  = (global float *)((global char*)dst  + offsetd);
+
+    local float buf_a[BM * BK];
+    local float buf_b[BN * BK];
+
+    const int batch_idx = get_global_id(2);
+
+    const int i13 = batch_idx / ne12;
+    const int i12 = batch_idx % ne12;
+
+    const int i03 = i13 / r3;
+    const int i02 = i12 / r2;
+
+    const int batch_idx_a = i03 * ne02 + i02;
+
+    const int ir = get_group_id(0);
+    const int ic = get_group_id(1);
+
+    const int tid = get_local_id(0);
+    const int th_r  = tid % (BM / TM);
+    const int th_c  = tid / (BM / TM);
+
+    const int loadr_a = get_local_id(0) % (BK / LOAD_VEC_A);
+    const int loadc_a = get_local_id(0) / (BK / LOAD_VEC_A);
+    const int loadr_b = get_local_id(0) % (BK / LOAD_VEC_B);
+    const int loadc_b = get_local_id(0) / (BK / LOAD_VEC_B);
+
+    const int loadstride_a = get_local_size(0) * LOAD_VEC_A / BK;
+    const int loadstride_b = get_local_size(0) * LOAD_VEC_B / BK;
+
+    int pos_a = (batch_idx_a * batch_stride_a + ir * BM * stride_a) / LOAD_VEC_A;
+    int pos_b = (batch_idx   * batch_stride_b + ic * BN * stride_b) / LOAD_VEC_B;
+
+    float sums[TM * TN];
+    float cache_a[TM];
+    float cache_b[TN];
+
+    for (int i = 0; i < TM * TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    for (int block = 0; block < ne00; block += BK) {
+        for (int l = 0; l < BM; l += loadstride_a) {
+            if (ir*BM + loadc_a + l < ne01) {
+                int idx = pos_a + (loadc_a + l) * stride_a / LOAD_VEC_A + loadr_a;
+                int ib  = idx / 64;
+                int iqs = (idx % 64) * 2;
+
+                int n   = iqs / 32;
+                int b   = (iqs % 32) / 16;
+                int is  = 2 * n + b;
+                int qsi = n * 32 + (iqs % 16) * 2;
+
+                global uchar * scales = src0_s + ib * 12;
+
+                int scidx0      = (is < 4) ? is     : (is + 4);
+                int scidx1      = (is < 4) ? is     : (is - 4);
+                int scidxmask1  = (is < 4) ? 0x30   : 0xC0;
+                int scidxshift1 = (is < 4) ? 0      : 2;
+                int mbidx0      = is + 4;
+                int mbidx1      = (is < 4) ? is + 4 : is;
+                int mbidxmask0  = (is < 4) ? 0xF    : 0xF0;
+                int mbidxshift0 = (is < 4) ? 0      : 4;
+                int mbidxmask1  = (is < 4) ? 0x30   : 0xC0;
+                int mbidxshift1 = (is < 4) ? 0      : 2;
+
+                uchar sc    = (scales[scidx0] & 0xF) | ((scales[scidx1] & scidxmask1) >> scidxshift1);
+                uchar mbyte = ((scales[mbidx0] & mbidxmask0) >> mbidxshift0) | ((scales[mbidx1] & mbidxmask1) >> mbidxshift1);
+
+                float d =  (float)src0_d[ib]  * (float)sc;
+                float m = -(float)src0_dm[ib] * (float)mbyte;
+
+                int qh_base = (iqs % 16) * 2;
+                int bit_pos  = 2*n + b;
+                uchar h0 = (src0_qh[ib*32 + qh_base + 0] >> bit_pos) & 1;
+                uchar h1 = (src0_qh[ib*32 + qh_base + 1] >> bit_pos) & 1;
+                uchar h2 = (src0_qh[ib*32 + qh_base + 2] >> bit_pos) & 1;
+                uchar h3 = (src0_qh[ib*32 + qh_base + 3] >> bit_pos) & 1;
+
+                global uchar4 * qs = src0_q + ib*32 + (qsi >> 2);
+                uchar4 q = *qs;
+                float4 v1 = (convert_float4((uchar4)(
+                    ((q.s0 >> (b * 4))&0x0F) | (h0 << 4),
+                    ((q.s1 >> (b * 4))&0x0F) | (h1 << 4),
+                    ((q.s2 >> (b * 4))&0x0F) | (h2 << 4),
+                    ((q.s3 >> (b * 4))&0x0F) | (h3 << 4)
+                )))*d + m;
+
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = v1.s0;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = v1.s1;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = v1.s2;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = v1.s3;
+            } else {
+                buf_a[(loadr_a * LOAD_VEC_A + 0) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 1) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 2) * BM + loadc_a + l] = 0.0f;
+                buf_a[(loadr_a * LOAD_VEC_A + 3) * BM + loadc_a + l] = 0.0f;
+            }
+        }
+
+        for (int l = 0; l < BN; l += loadstride_b) {
+            if (ic*BN + loadc_b + l < ne11) {
+                int idx = pos_b + (loadc_b + l) * stride_b / LOAD_VEC_B + loadr_b;
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = src1[idx].s0;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = src1[idx].s1;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = src1[idx].s2;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = src1[idx].s3;
+            } else {
+                buf_b[(loadr_b * LOAD_VEC_B + 0) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 1) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 2) * BN + loadc_b + l] = 0.0f;
+                buf_b[(loadr_b * LOAD_VEC_B + 3) * BN + loadc_b + l] = 0.0f;
+            }
+        }
+
+        barrier(CLK_LOCAL_MEM_FENCE);
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (int i = 0; i < BK; i++) {
+            for (int j = 0; j < TM; j++) {
+                cache_a[j] = buf_a[(i) * BM + th_r * TM + j];
+            }
+
+            for (int j = 0; j < TN; j++) {
+                cache_b[j] = buf_b[(i) * BN + th_c * TN + j];
+            }
+
+            for (int cc = 0; cc < TN; cc++) {
+                for (int cr = 0; cr < TM; cr++) {
+                    const int sums_idx = cc*TM + cr;
+                    sums[sums_idx] = mad(cache_a[cr], cache_b[cc], sums[sums_idx]);
+                }
+            }
+        }
+        barrier(CLK_LOCAL_MEM_FENCE);
+    }
+
+    const int dr = ir * BM + th_r * TM;
+    const int dc = ic * BN + th_c * TN;
+
+    const int offsets = batch_idx * batch_stride_d;
+
+    for (int cc = 0; cc < TN; cc++) {
+        for (int cr = 0; cr < TM; cr++) {
+            if (dr + cr < ne01 && dc + cc < ne11) {
+                dst[offsets + (dc + cc) * stride_d + dr + cr] = sums[cc * TM + cr];
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32.cl b/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32.cl
new file mode 100644
index 000000000..a6a325cd7
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32.cl
@@ -0,0 +1,164 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK4_NL 32
+
+typedef char int8_t;
+typedef uchar uint8_t;
+typedef short int16_t;
+typedef ushort uint16_t;
+typedef int int32_t;
+typedef uint uint32_t;
+
+constant float kvalues_iq4nl[16] = {
+    -127.f, -104.f, -83.f, -65.f, -49.f, -35.f, -22.f, -10.f,
+      1.f,   13.f,  25.f,  38.f,  53.f,  69.f,  89.f, 113.f
+};
+
+//------------------------------------------------------------------------------
+// block_iq4_nl
+//------------------------------------------------------------------------------
+struct block_iq4_nl
+{
+    half d;
+    uint8_t qs[QK4_NL / 2];
+};
+
+//------------------------------------------------------------------------------
+// mul_vec_q_n_f32
+//------------------------------------------------------------------------------
+// Compute inner product between half a block of iq4_nl and 16 floats (yl).
+// il indicates where the quants begin (0 or 8).
+inline float block_iq4_nl_dot_y(
+        global struct block_iq4_nl * qb_curr,
+        private float * yl,
+        int il
+) {
+    float d = qb_curr->d;
+    float acc = 0.f;
+    global uchar * qs = qb_curr->qs + il;
+    for (int i = 0; i < 8; ++i) {
+        acc += yl[i]   * kvalues_iq4nl[qs[i] & 0x0F];
+        acc += yl[i+8] * kvalues_iq4nl[qs[i] >> 4];
+    }
+    return d * acc;
+}
+
+#ifdef INTEL_GPU
+#define N_DST 4 // each subgroup group works on 4 rows
+#define N_SUBGROUP 1 // number of subgroups in a thread group
+#define N_SUBGROUP_SIZE 16 // assuming subgroup size is 16
+#elif defined (ADRENO_GPU)
+#define N_DST 4
+#define N_SUBGROUP 1
+#define N_SUBGROUP_SIZE 64
+#endif
+
+inline void mul_vec_q_n_f32(
+        global void * src0,
+        global float * src1,
+        global float * dst,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+
+    const ulong nb = ne00/QK4_NL;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+
+    int first_row = (r0 * N_SUBGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    ulong offset0 = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
+
+    global struct block_iq4_nl * x = (global struct block_iq4_nl *) src0 + offset0;
+    global float               * y = (global float               *) src1 + r1*ne10 + im*ne00*ne1;
+
+    float yl[16];       // src1 vector cache
+    float sumf[N_DST]={0.f};
+
+    int ix = get_sub_group_local_id()/2;
+    int il = 8*(get_sub_group_local_id()%2);
+
+    global float * yb = y + ix * QK4_NL + il;
+
+    // each thread in a SIMD group deals with half a block.
+    for (int ib = ix; ib < nb; ib += N_SUBGROUP_SIZE/2) {
+        for (int i = 0; i < 8; ++i) {
+            yl[i]   = yb[i];
+            yl[i+8] = yb[i+16];
+        }
+
+        for (int row = 0; row < N_DST; row++) {
+            sumf[row] += block_iq4_nl_dot_y(x+ib+row*nb, yl, il);
+        }
+
+        yb += QK4_NL * (N_SUBGROUP_SIZE/2);
+    }
+
+    float tot[N_DST] = {
+        sub_group_reduce_add(sumf[0]), sub_group_reduce_add(sumf[1]),
+        sub_group_reduce_add(sumf[2]), sub_group_reduce_add(sumf[3])};
+    for (int row = 0; row < N_DST; ++row) {
+        if (get_sub_group_local_id() == 0 && first_row + row < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + row] = tot[row];
+        }
+    }
+}
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_iq4_nl_f32(
+        global void * src0,
+        ulong offset0,
+        global float * src1,
+        ulong offset1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src0 = (global void*)((global char*)src0 + offset0);
+    src1 = (global float*)((global char*)src1 + offset1);
+    dst = (global float*)((global char*)dst + offsetd);
+
+    mul_vec_q_n_f32(src0, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32_flat.cl b/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32_flat.cl
new file mode 100644
index 000000000..8c5b3f52e
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_iq4_nl_f32_flat.cl
@@ -0,0 +1,202 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK4_NL 32
+
+typedef char int8_t;
+typedef uchar uint8_t;
+typedef short int16_t;
+typedef ushort uint16_t;
+typedef int int32_t;
+typedef uint uint32_t;
+
+constant float kvalues_iq4nl[16] = {
+    -127.f, -104.f, -83.f, -65.f, -49.f, -35.f, -22.f, -10.f,
+      1.f,   13.f,  25.f,  38.f,  53.f,  69.f,  89.f, 113.f
+};
+
+//------------------------------------------------------------------------------
+// block_iq4_nl
+//------------------------------------------------------------------------------
+struct block_iq4_nl
+{
+    half d;
+    uint8_t qs[QK4_NL / 2];
+};
+
+// Compute dot product between half a block of iq4_nl quants and activations.
+// x points to the quant bytes, dh points to the scale.
+// yl has 16 activation values: [0..7] for low nibbles, [8..15] for high nibbles.
+// il indicates offset into the quant bytes (0 or 8).
+inline float block_iq4_nl_dot_y_flat(
+        global uchar * x,
+        global half  * dh,
+        private float * yl,
+        int il
+) {
+    float d = *dh;
+    global uchar * qs = x + il;
+    float acc = 0.f;
+    for (int i = 0; i < 8; ++i) {
+        acc += yl[i]   * kvalues_iq4nl[qs[i] & 0x0F];
+        acc += yl[i+8] * kvalues_iq4nl[qs[i] >> 4];
+    }
+    return d * acc;
+}
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST 8 // each subgroup works on 8 rows
+#define N_SUBGROUP 1 // number of subgroups in a thread group
+#define N_SUBGROUP_SIZE 16 // assuming subgroup size is 16
+#elif defined (ADRENO_GPU)
+#define N_DST 8
+#define N_SUBGROUP 1
+#define N_SUBGROUP_SIZE 64
+#endif
+
+inline void mul_vec_q_n_f32_8x_flat(
+        global uchar * src0_q,
+        global half  * src0_d,
+        global float * src1,
+        global float * dst,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    const ulong nb = ne00/QK4_NL;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+
+    int first_row = (r0 * N_SUBGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    // The number of scales is the same as the number of blocks.
+    ulong offset0_d = first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
+    // Each block contains QK4_NL/2 uchars, hence offset for qs is as follows.
+    ulong offset0_q = (first_row * nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02)) * QK4_NL/2;
+
+    global uchar * x = (global uchar *) src0_q + offset0_q;
+    global half  * d = (global half  *) src0_d + offset0_d;
+    global float * y = (global float *) src1   + r1*ne10 + im*ne00*ne1;
+
+    float yl[16];
+    float8 sumf = 0.f;
+
+    int ix = get_sub_group_local_id()/2;
+    int il = 8*(get_sub_group_local_id()%2);
+
+    global float * yb = y + ix*QK4_NL + il;
+
+    for (int ib = ix; ib < nb; ib += N_SUBGROUP_SIZE/2) {
+        for (int i = 0; i < 8; ++i) {
+            yl[i]   = yb[i];
+            yl[i+8] = yb[i+16];
+        }
+
+        sumf.s0 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 0*nb*QK4_NL/2, d + ib + 0*nb, yl, il);
+        sumf.s1 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 1*nb*QK4_NL/2, d + ib + 1*nb, yl, il);
+        sumf.s2 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 2*nb*QK4_NL/2, d + ib + 2*nb, yl, il);
+        sumf.s3 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 3*nb*QK4_NL/2, d + ib + 3*nb, yl, il);
+
+        sumf.s4 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 4*nb*QK4_NL/2, d + ib + 4*nb, yl, il);
+        sumf.s5 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 5*nb*QK4_NL/2, d + ib + 5*nb, yl, il);
+        sumf.s6 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 6*nb*QK4_NL/2, d + ib + 6*nb, yl, il);
+        sumf.s7 += block_iq4_nl_dot_y_flat(x + ib*QK4_NL/2 + 7*nb*QK4_NL/2, d + ib + 7*nb, yl, il);
+
+        yb += QK4_NL * (N_SUBGROUP_SIZE/2);
+    }
+
+    float8 tot = (float8)(
+        sub_group_reduce_add(sumf.s0), sub_group_reduce_add(sumf.s1),
+        sub_group_reduce_add(sumf.s2), sub_group_reduce_add(sumf.s3),
+        sub_group_reduce_add(sumf.s4), sub_group_reduce_add(sumf.s5),
+        sub_group_reduce_add(sumf.s6), sub_group_reduce_add(sumf.s7)
+    );
+
+    if (get_sub_group_local_id() == 0) {
+        if (first_row + 0 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 0] = tot.s0;
+        }
+        if (first_row + 1 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 1] = tot.s1;
+        }
+        if (first_row + 2 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 2] = tot.s2;
+        }
+        if (first_row + 3 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 3] = tot.s3;
+        }
+
+        if (first_row + 4 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 4] = tot.s4;
+        }
+        if (first_row + 5 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 5] = tot.s5;
+        }
+        if (first_row + 6 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 6] = tot.s6;
+        }
+        if (first_row + 7 < ne01) {
+            dst[r1*ne0 + im*ne0*ne1 + first_row + 7] = tot.s7;
+        }
+    }
+}
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_iq4_nl_f32_flat(
+        global uchar * src0_q,
+        global half  * src0_d,
+        global float * src1,
+        ulong offset1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        int ne02,
+        int ne10,
+        int ne12,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src1 = (global float*)((global char*)src1 + offset1);
+    dst = (global float*)((global char*)dst + offsetd);
+
+    mul_vec_q_n_f32_8x_flat(src0_q, src0_d, src1, dst, ne00, ne01, ne02, ne10, ne12, ne0, ne1, r2, r3);
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl
new file mode 100644
index 000000000..b2058abc1
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32.cl
@@ -0,0 +1,187 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#define QK_K            256
+#define K_SCALE_SIZE    12
+
+typedef struct {
+    half  d;                    // super-block scale for quantized scales
+    half  dmin;                 // super-block scale for quantized mins
+    uchar scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
+    uchar qh[QK_K/8];           // quants, high bit (1 bit per value, packed 8 per byte)
+    uchar qs[QK_K/2];           // quants, low 4 bits (2 values per byte)
+} block_q5_K;
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 16
+#elif defined(ADRENO_GPU)
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 64
+#endif
+
+#define BLOCK_STRIDE (N_SIMDWIDTH/8)
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q5_K_f32(
+        global char * src0,
+        int offset0,
+        global char * src1,
+        int offset1,
+        global char * dst,
+        int offsetd,
+        int ne00,
+        int ne01,
+        ulong nb01,
+        ulong nb02,
+        ulong nb03,
+        int ne12,
+        ulong nb11,
+        ulong nb12,
+        ulong nb13,
+        int ne0,
+        int ne1,
+        int r2,
+        int r3
+) {
+    src0 = src0 + offset0;
+    src1 = src1 + offset1;
+    dst  = dst  + offsetd;
+
+    ushort kmask1 = 0x3f3f;
+    ushort kmask2 = 0x0f0f;
+    ushort kmask3 = 0xc0c0;
+
+    int ix = get_sub_group_local_id()/8;  // super block index
+    int it = get_sub_group_local_id()%8;  // block index (inside super block)
+    int iq = it/4;     // 0 or 1 - first or second half of the super block
+    int ir = it%4;     // 0...3 - block index in the half super block
+
+    int nb = ne00/QK_K;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    int offset_src0 = first_row*nb01 + (i12/r2)*nb02 + (i13/r3)*nb03;
+    int offset_src1 =        r1*nb11 + (i12   )*nb12 + (i13   )*nb13;
+
+    global block_q5_K * x = (global block_q5_K *) (src0 + offset_src0);
+    global float      * y = (global float      *) (src1 + offset_src1);
+
+    float yl[16];
+    float yh[16];
+    float sumf[N_DST] = {0.f};
+    float all_sum;
+
+    global float * y4 = y + ix * QK_K + 64 * iq + 8 * ir;
+
+    uchar u1_lo = (uchar)(1 << (2*iq));
+    uchar u2_lo = (uchar)(2 << (2*iq));
+    uchar u1_hi = (uchar)(1 << (2*iq + 4));
+    uchar u2_hi = (uchar)(2 << (2*iq + 4));
+
+    ushort  sc16[4];
+    uchar * sc8 = (uchar *)sc16;
+
+    for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
+        float4 sumy = {0.f, 0.f, 0.f, 0.f};
+        for (int i = 0; i < 8; ++i) {
+            yl[i+0] = y4[i+0];
+            sumy.s0 += yl[i+0];
+
+            yl[i+8] = y4[i+32];
+            sumy.s1 += yl[i+8];
+
+            yh[i+0] = y4[i+128];
+            sumy.s2 += yh[i+0];
+
+            yh[i+8] = y4[i+160];
+            sumy.s3 += yh[i+8];
+        }
+
+        global ushort * sc = (global ushort *)x[ib].scales + iq;
+        global ushort * q1 = (global ushort *)x[ib].qs + 16 * iq + 4 * ir;
+        global uchar  * qh = x[ib].qh + 8 * ir;
+        global half   * dh = &x[ib].d;
+
+        for (int row = 0; row < N_DST; row++) {
+            sc16[0] = sc[0] & kmask1;
+            sc16[1] = sc[2] & kmask1;
+            sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2);
+            sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2);
+
+            global ushort * q2 = q1 + 32;
+
+            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
+            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
+            for (int i = 0; i < 8; i += 2) {
+                acc1.s0 += yl[i+0] * ((q1[i/2] & 0x000F) + (qh[i+0] & u1_lo ? 16.f       : 0.f));
+                acc1.s1 += yl[i+1] * ((q1[i/2] & 0x0F00) + (qh[i+1] & u1_lo ? 16.f*256.f : 0.f));
+                acc1.s2 += yl[i+8] * ((q1[i/2] & 0x00F0) + (qh[i+0] & u2_lo ? 16.f*16.f  : 0.f));
+                acc1.s3 += yl[i+9] * ((q1[i/2] & 0xF000) + (qh[i+1] & u2_lo ? 16.f*4096.f: 0.f));
+                acc2.s0 += yh[i+0] * ((q2[i/2] & 0x000F) + (qh[i+0] & u1_hi ? 16.f       : 0.f));
+                acc2.s1 += yh[i+1] * ((q2[i/2] & 0x0F00) + (qh[i+1] & u1_hi ? 16.f*256.f : 0.f));
+                acc2.s2 += yh[i+8] * ((q2[i/2] & 0x00F0) + (qh[i+0] & u2_hi ? 16.f*16.f  : 0.f));
+                acc2.s3 += yh[i+9] * ((q2[i/2] & 0xF000) + (qh[i+1] & u2_hi ? 16.f*4096.f: 0.f));
+            }
+
+            float dall = dh[0];
+            float dmin = dh[1];
+            sumf[row] += dall * ((acc1.s0 + 1.f/256.f * acc1.s1) * sc8[0] +
+                                 (acc1.s2 + 1.f/256.f * acc1.s3) * sc8[1] * 1.f/16.f +
+                                 (acc2.s0 + 1.f/256.f * acc2.s1) * sc8[4] +
+                                 (acc2.s2 + 1.f/256.f * acc2.s3) * sc8[5] * 1.f/16.f) -
+                         dmin * (sumy.s0 * sc8[2] + sumy.s1 * sc8[3] + sumy.s2 * sc8[6] + sumy.s3 * sc8[7]);
+
+            q1  += nb01/2;
+            sc  += nb01/2;
+            dh  += nb01/2;
+            qh += nb01;
+        }
+
+        y4 += BLOCK_STRIDE * QK_K;
+    }
+
+    global float * dst_f32 = (global float *) dst + im*ne0*ne1 + r1*ne0;
+
+    for (int row = 0; row < N_DST; ++row) {
+        all_sum = sub_group_reduce_add(sumf[row]);
+        if (first_row + row < ne01) {
+            if (get_sub_group_local_id() == 0) {
+                dst_f32[first_row + row] = all_sum;
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl
new file mode 100644
index 000000000..e353a72be
--- /dev/null
+++ b/ggml/src/ggml-opencl/kernels/mul_mv_q5_k_f32_flat.cl
@@ -0,0 +1,203 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_intel_subgroups
+#pragma OPENCL EXTENSION cl_intel_subgroups : enable
+#else
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+#endif
+
+#ifdef cl_intel_required_subgroup_size
+#pragma OPENCL EXTENSION cl_intel_required_subgroup_size : enable
+#define INTEL_GPU 1
+#define REQD_SUBGROUP_SIZE_16 __attribute__((intel_reqd_sub_group_size(16)))
+#define REQD_SUBGROUP_SIZE_32 __attribute__((intel_reqd_sub_group_size(32)))
+#elif defined(cl_qcom_reqd_sub_group_size)
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64  __attribute__((qcom_reqd_sub_group_size("half")))
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+//------------------------------------------------------------------------------
+// block_q5_K
+//------------------------------------------------------------------------------
+#define QK_K            256
+#define BLOCK_Q5K_SIZE  176
+#define K_SCALE_SIZE    12
+
+typedef struct {
+    half  d;                    // super-block scale for quantized scales
+    half  dmin;                 // super-block scale for quantized mins
+    uchar scales[K_SCALE_SIZE]; // scales and mins, quantized with 6 bits
+    uchar qh[QK_K/8];           // quants, high bit (1 bit per value, packed 8 per byte)
+    uchar qs[QK_K/2];           // quants, low 4 bits (2 values per byte)
+} block_q5_K;
+
+#undef N_DST
+#undef N_SIMDGROUP
+#undef N_SIMDWIDTH
+
+#ifdef INTEL_GPU
+#define N_DST       4
+#define N_SIMDGROUP 1
+#define N_SIMDWIDTH 16
+#elif defined(ADRENO_GPU)
+#define N_DST       16
+#define N_SIMDGROUP 2
+#define N_SIMDWIDTH 64
+#endif
+
+#undef  BLOCK_STRIDE
+// number of (super) blocks each subgroup processes
+// each thread in a subgroup processes a block (32 weights)
+#define BLOCK_STRIDE (N_SIMDWIDTH/8)
+
+#ifdef INTEL_GPU
+REQD_SUBGROUP_SIZE_16
+#elif defined (ADRENO_GPU)
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_mul_mv_q5_K_f32_flat(
+    global uchar * src0_q,
+    global uchar * src0_qh,
+    global uchar * src0_s,
+    global half  * src0_d,
+    global half  * src0_dm,
+    global char  * src1,
+    int offset1,
+    global char  * dst,
+    int offsetd,
+    int ne00,
+    int ne01,
+    ulong nb01,
+    ulong nb02,
+    ulong nb03,
+    int ne12,
+    ulong nb11,
+    ulong nb12,
+    ulong nb13,
+    int ne0,
+    int ne1,
+    int r2,
+    int r3
+) {
+    src1 = src1 + offset1;
+    dst  = dst  + offsetd;
+
+    ushort kmask1 = 0x3f3f;
+    ushort kmask2 = 0x0f0f;
+    ushort kmask3 = 0xc0c0;
+
+    int ix = get_sub_group_local_id()/8;
+    int it = get_sub_group_local_id()%8;
+    int iq = it/4;
+    int ir = it%4;
+
+    int nb = ne00/QK_K;
+
+    int r0 = get_group_id(0);
+    int r1 = get_group_id(1);
+    int im = get_group_id(2);
+    int first_row = (r0 * N_SIMDGROUP + get_sub_group_id()) * N_DST;
+
+    int i12 = im%ne12;
+    int i13 = im/ne12;
+
+    int offset_src0 = (first_row*nb01 + (i12/r2)*nb02 + (i13/r3)*nb03)/BLOCK_Q5K_SIZE;
+    uint blk = nb01 / BLOCK_Q5K_SIZE;
+    global uchar * blk_q  = (global uchar *)src0_q  + offset_src0*(QK_K/2);
+    global uchar * blk_qh = (global uchar *)src0_qh + offset_src0*(QK_K/8);
+    global uchar * blk_s  = (global uchar *)src0_s  + offset_src0*K_SCALE_SIZE;
+    global half  * blk_d  = (global half  *)src0_d  + offset_src0;
+    global half  * blk_dm = (global half  *)src0_dm + offset_src0;
+
+    int offset_src1 = r1*nb11 + (i12)*nb12 + (i13)*nb13;
+    global float * y = (global float *)(src1 + offset_src1);
+
+    float yl[16];
+    float yh[16];
+    float sumf[N_DST] = {0.f};
+    float all_sum;
+
+    global float * y4 = y + ix * QK_K + 64 * iq + 8 * ir;
+
+    uchar u1_lo = (uchar)(1 << (2*iq));
+    uchar u2_lo = (uchar)(2 << (2*iq));
+    uchar u1_hi = (uchar)(1 << (2*iq + 4));
+    uchar u2_hi = (uchar)(2 << (2*iq + 4));
+
+    ushort  sc16[4];
+    uchar * sc8 = (uchar *)sc16;
+
+    for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
+        float4 sumy = {0.f, 0.f, 0.f, 0.f};
+        for (int i = 0; i < 8; ++i) {
+            yl[i+0] = y4[i+0];
+            sumy.s0 += yl[i+0];
+
+            yl[i+8] = y4[i+32];
+            sumy.s1 += yl[i+8];
+
+            yh[i+0] = y4[i+128];
+            sumy.s2 += yh[i+0];
+
+            yh[i+8] = y4[i+160];
+            sumy.s3 += yh[i+8];
+        }
+
+        global ushort * q1 = (global ushort *)(blk_q  + ib * (QK_K/2)) + (16 * iq + 4 * ir);
+        global uchar  * qh = (global uchar  *)(blk_qh + ib * (QK_K/8)) + 8 * ir;
+        global ushort * sc = (global ushort *)(blk_s  + ib * K_SCALE_SIZE) + iq;
+        global half   * d  = blk_d  + ib;
+        global half   * dm = blk_dm + ib;
+
+        for (int row = 0; row < N_DST; row++) {
+            sc16[0] = sc[0] & kmask1;
+            sc16[1] = sc[2] & kmask1;
+            sc16[2] = ((sc[4] >> 0) & kmask2) | ((sc[0] & kmask3) >> 2);
+            sc16[3] = ((sc[4] >> 4) & kmask2) | ((sc[2] & kmask3) >> 2);
+
+            global ushort * q2 = q1 + 32;
+
+            float4 acc1 = {0.f, 0.f, 0.f, 0.f};
+            float4 acc2 = {0.f, 0.f, 0.f, 0.f};
+            for (int i = 0; i < 8; i += 2) {
+                acc1.s0 += yl[i+0] * ((q1[i/2] & 0x000F) + (qh[i+0] & u1_lo ? 16.f       : 0.f));
+                acc1.s1 += yl[i+1] * ((q1[i/2] & 0x0F00) + (qh[i+1] & u1_lo ? 16.f*256.f : 0.f));
+                acc1.s2 += yl[i+8] * ((q1[i/2] & 0x00F0) + (qh[i+0] & u2_lo ? 16.f*16.f  : 0.f));
+                acc1.s3 += yl[i+9] * ((q1[i/2] & 0xF000) + (qh[i+1] & u2_lo ? 16.f*4096.f: 0.f));
+                acc2.s0 += yh[i+0] * ((q2[i/2] & 0x000F) + (qh[i+0] & u1_hi ? 16.f       : 0.f));
+                acc2.s1 += yh[i+1] * ((q2[i/2] & 0x0F00) + (qh[i+1] & u1_hi ? 16.f*256.f : 0.f));
+                acc2.s2 += yh[i+8] * ((q2[i/2] & 0x00F0) + (qh[i+0] & u2_hi ? 16.f*16.f  : 0.f));
+                acc2.s3 += yh[i+9] * ((q2[i/2] & 0xF000) + (qh[i+1] & u2_hi ? 16.f*4096.f: 0.f));
+            }
+
+            float dall = *d;
+            float dmin = *dm;
+            sumf[row] += dall * ((acc1.s0 + 1.f/256.f * acc1.s1) * sc8[0] +
+                                 (acc1.s2 + 1.f/256.f * acc1.s3) * sc8[1] * 1.f/16.f +
+                                 (acc2.s0 + 1.f/256.f * acc2.s1) * sc8[4] +
+                                 (acc2.s2 + 1.f/256.f * acc2.s3) * sc8[5] * 1.f/16.f) -
+                         dmin * (sumy.s0 * sc8[2] + sumy.s1 * sc8[3] + sumy.s2 * sc8[6] + sumy.s3 * sc8[7]);
+
+            q1 += blk*64;
+            qh += blk*32;
+            sc += blk*6;
+            d  += blk;
+            dm += blk;
+        }
+
+        y4 += BLOCK_STRIDE * QK_K;
+    }
+
+    global float * dst_f32 = (global float *) dst + im*ne0*ne1 + r1*ne0;
+
+    for (int row = 0; row < N_DST; ++row) {
+        all_sum = sub_group_reduce_add(sumf[row]);
+        if (first_row + row < ne01) {
+            if (get_sub_group_local_id() == 0) {
+                dst_f32[first_row + row] = all_sum;
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-openvino/ggml-decoder.cpp b/ggml/src/ggml-openvino/ggml-decoder.cpp
index 0938d2273..5095e7998 100644
--- a/ggml/src/ggml-openvino/ggml-decoder.cpp
+++ b/ggml/src/ggml-openvino/ggml-decoder.cpp
@@ -19,7 +19,6 @@
 #include <iomanip>
 #include <map>
 #include <memory>
-#include <mutex>
 #include <openvino/core/dimension.hpp>
 #include <openvino/core/except.hpp>
 #include <openvino/core/node.hpp>
@@ -207,8 +206,22 @@ int GgmlOvDecoder::compute_op_case(const ggml_tensor * node) const {
         break;
     }
     case GGML_OP_ROPE: {
+        const int mode = node->op_params[2];
+        switch (mode) {
+       case GGML_ROPE_TYPE_NEOX: {
+            op_case = 0x00010000;
+            break;
+        }
+       case GGML_ROPE_TYPE_IMROPE: {
+            op_case = 0x00020000;
+            break;
+        }
+        default:
+            op_case = 0x00000000;
+            break;
+        }
         if (node->src[0]->op == GGML_OP_VIEW) {
-            op_case = 2;
+            op_case = (op_case | 0x00000002);
         }
         break;
     }
@@ -573,9 +586,6 @@ std::map<std::string, std::string> GgmlOvDecoder::get_kv_param_res_names() const
 }
 
 std::map<std::string, std::shared_ptr<ov::Node>> GgmlOvDecoder::create_weight_nodes(ggml_cgraph * cgraph, bool naive) {
-    static std::mutex weights_mutex;
-    std::lock_guard<std::mutex> lock(weights_mutex);
-
     std::map<std::string, std::shared_ptr<ov::Node>> model_weights;
     auto * nodes = cgraph->nodes;
     auto n_nodes = cgraph->n_nodes;
diff --git a/ggml/src/ggml-openvino/ggml-openvino-extra.cpp b/ggml/src/ggml-openvino/ggml-openvino-extra.cpp
index cc3cb4583..4140136ac 100644
--- a/ggml/src/ggml-openvino/ggml-openvino-extra.cpp
+++ b/ggml/src/ggml-openvino/ggml-openvino-extra.cpp
@@ -6,6 +6,7 @@
 #include <cstring>
 #include <openvino/runtime/intel_gpu/ocl/ocl.hpp>
 #include <openvino/runtime/intel_npu/level_zero/level_zero.hpp>
+#include <openvino/runtime/properties.hpp>
 #include <optional>
 
 ov::Core & ov_singleton_core() {
@@ -42,11 +43,13 @@ void ggml_openvino_device_config::init() {
             {"NPUW_DQ",                           "YES"   },
             {"NPUW_DQ_FULL",                      "NO"    },
         };
-        if (cache_dir) {
+        if (cache_dir && strlen(cache_dir) > 0) {
             compile_config["NPUW_CACHE_DIR"] = cache_dir;
+            compile_config.insert(ov::cache_mode(ov::CacheMode::OPTIMIZE_SIZE));
         }
-    } else if (cache_dir) {
-        ov_singleton_core().set_property(ov::cache_dir(cache_dir));
+    } else if (cache_dir && strlen(cache_dir) > 0) {
+        compile_config.insert(ov::cache_dir(cache_dir));
+        compile_config.insert(ov::cache_mode(ov::CacheMode::OPTIMIZE_SIZE));
     }
 
     // Initialize remote context with queue sharing for GPU
@@ -259,10 +262,12 @@ ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_ten
             layout.weights_size = layout.is_u4 ? (n_elements / 2) : n_elements;
             int64_t n_blocks = n_elements / layout.weights_per_block;
             layout.scales_size = n_blocks * sizeof(uint16_t);
-            // For symmetric quantization, we only need one zp value (not one per block)
-            // Zero points are stored in U4 or U8 format matching the weight type
-            size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks;
-            layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements;
+            // For symmetric quantization, no zp needed (weights stored as signed)
+            if (layout.is_symmetric) {
+                layout.zp_size = 0;
+            } else {
+                layout.zp_size = layout.is_u4 ? ((n_blocks + 1) / 2) : n_blocks;
+            }
 
             layout.weights_offset = 0;
             layout.scales_offset = ((layout.weights_size + alignment - 1) / alignment) * alignment;
@@ -313,10 +318,12 @@ ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_ten
     // Scales: F16 per block
     int64_t n_blocks = n_elements / layout.weights_per_block;
     layout.scales_size = n_blocks * sizeof(uint16_t);  // F16 = 2 bytes
-    // Zero points: U4 or U8 matching weight type
-    // For symmetric quantization, we only need one zp value (not one per block)
-    size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks;
-    layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements;
+    // For symmetric quantization, no zp needed (weights stored as signed)
+    if (layout.is_symmetric) {
+        layout.zp_size = 0;
+    } else {
+        layout.zp_size = layout.is_u4 ? ((n_blocks + 1) / 2) : n_blocks;
+    }
 
     // Layout in buffer: [weights | scales | zp] with alignment
     layout.weights_offset = 0;
diff --git a/ggml/src/ggml-openvino/ggml-openvino.cpp b/ggml/src/ggml-openvino/ggml-openvino.cpp
index b3058b4af..4f3ebf253 100644
--- a/ggml/src/ggml-openvino/ggml-openvino.cpp
+++ b/ggml/src/ggml-openvino/ggml-openvino.cpp
@@ -145,13 +145,18 @@ static void * ggml_backend_openvino_buffer_get_base(ggml_backend_buffer_t buffer
     return ctx->data;
 }
 
+static bool is_stateful_enabled() {
+    static const auto * stateful = getenv("GGML_OPENVINO_STATEFUL_EXECUTION");
+    return stateful && *stateful != '\0' && strcmp(stateful, "0") != 0;
+}
+
 static enum ggml_status ggml_backend_openvino_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
     // GGML_LOG_DEBUG("%s: buffer usage=%d, tensor name=%s\n", __func__, buffer->usage, tensor->name);
     ggml_backend_openvino_buffer_context * ctx = (ggml_backend_openvino_buffer_context *) buffer->context;
 
     // Put kvcache on device memory for GPU (NPU memory is too small even for kvcache)
     if (strncmp(tensor->name, "cache_", 6) == 0 && !ctx->is_remote && ggml_openvino_get_device_name() == "GPU" &&
-        !getenv("GGML_OPENVINO_STATEFUL_EXECUTION")) {
+        !is_stateful_enabled()) {
         GGML_ASSERT(ctx->tensor_extras.empty());
         auto device = ctx->device;
         auto size = ctx->size;
@@ -412,6 +417,8 @@ static const ggml_backend_buffer_i ggml_backend_openvino_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_openvino_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_openvino_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_openvino_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_openvino_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_openvino_buffer_clear,
     /* .reset           = */ NULL,
@@ -598,6 +605,14 @@ bool ggml_backend_buft_is_openvino_host(ggml_backend_buffer_type_t buft) {
 
 static void ggml_backend_openvino_free(ggml_backend_t backend) {
     ggml_backend_openvino_context * ctx = (ggml_backend_openvino_context *) backend->context;
+
+    if (ctx->runtime_context) {
+        auto r_ctx = std::static_pointer_cast<ov_runtime_context>(ctx->runtime_context);
+        if (--r_ctx->backend_count == 0) {
+            r_ctx->clear_caches();
+        }
+    }
+
     delete ctx;
     delete backend;
 }
@@ -617,6 +632,8 @@ static const ggml_backend_i ggml_backend_openvino_interface = {
     /* .free                    = */ ggml_backend_openvino_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
@@ -640,7 +657,12 @@ static ggml_guid_t ggml_backend_openvino_guid(void) {
 }
 
 static std::shared_ptr<ov_runtime_context> get_ov_runtime_context_ptr() {
-    static std::shared_ptr<ov_runtime_context> r_ctx = std::make_shared<ov_runtime_context>();
+    static std::shared_ptr<ov_runtime_context> r_ctx = [] {
+        auto ctx = std::make_shared<ov_runtime_context>();
+        ctx->device = ggml_openvino_get_device_name();
+        ctx->stateful = is_stateful_enabled() && !ggml_openvino_is_npu();
+        return ctx;
+    }();
     return r_ctx;
 }
 
@@ -665,8 +687,7 @@ GGML_BACKEND_API ggml_backend_t ggml_backend_openvino_init(int device) {
     }
 
     std::shared_ptr<ov_runtime_context> r_ctx = std::static_pointer_cast<ov_runtime_context>(ctx->runtime_context);
-    r_ctx->device = ggml_openvino_get_device_name();
-    r_ctx->stateful = getenv("GGML_OPENVINO_STATEFUL_EXECUTION") && !ggml_openvino_is_npu();
+    r_ctx->backend_count++;
 
     ggml_backend_t openvino_backend = new ggml_backend{
         /* .guid      = */ ggml_backend_openvino_guid(),
@@ -879,7 +900,7 @@ static bool is_op_unsupported_case(const ggml_tensor * op) {
         const int32_t * op_params = op->op_params;
         const int n_dims = op_params[1];
         const int mode = op_params[2];
-        if (mode != GGML_ROPE_TYPE_NORMAL && mode != GGML_ROPE_TYPE_NEOX) {
+        if (mode != GGML_ROPE_TYPE_NORMAL && mode != GGML_ROPE_TYPE_NEOX && mode != GGML_ROPE_TYPE_IMROPE) {
             // GGML_LOG_WARN("OpenVINO backend does not support ROPE with mode %d\n", mode);
             return true;
         }
@@ -892,14 +913,6 @@ static bool is_op_unsupported_case(const ggml_tensor * op) {
             // GGML_LOG_WARN("OpenVINO backend does not support ROPE with type %s\n", ggml_type_name(op->type));
             return true;
         }
-        float freq_scale;
-        float ext_factor;
-        memcpy(&freq_scale, op_params + 6, sizeof(float));
-        memcpy(&ext_factor, op_params + 7, sizeof(float));
-        if (ext_factor != 0.0f) {
-            // GGML_LOG_WARN("OpenVINO backend does not support ROPE with ext_factor %f != 0.0f\n", ext_factor);
-            return true;
-        }
         if (op->src[0]->op == GGML_OP_VIEW) {
             if (op->src[0]->view_src->ne[1] != op->src[0]->ne[2]) {
                 // GGML_LOG_WARN(
@@ -909,6 +922,12 @@ static bool is_op_unsupported_case(const ggml_tensor * op) {
                 return true;
             }
         }
+        if (mode == GGML_ROPE_TYPE_IMROPE &&
+            (op->src[2] != 0 || ((const float *) op_params)[6] != 1 || ((const float *) op_params)[7] != 0 ||
+             ((const float *) op_params)[8] != 1)) {
+            // GGML_LOG_WARN("OpenVINO backend does not support IMROPE with freq_factors, freq_scale, ext_factor, and attn_factor\n");
+            return true;
+        }
         break;
     }
     default:
@@ -938,6 +957,7 @@ static bool ggml_backend_openvino_device_supports_op(ggml_backend_dev_t dev, con
                                                  // GGML_OP_SOFT_MAX,
                                                  GGML_OP_SET_ROWS, GGML_OP_FLASH_ATTN_EXT, GGML_OP_CPY};
     static const std::set<ggml_unary_op> supported_unary_ops{
+        GGML_UNARY_OP_GELU,
         GGML_UNARY_OP_SILU,
     };
     static const std::set<ggml_glu_op> supported_glu_ops{
diff --git a/ggml/src/ggml-openvino/ggml-quants.cpp b/ggml/src/ggml-openvino/ggml-quants.cpp
index dbf38646d..57d66df4f 100644
--- a/ggml/src/ggml-openvino/ggml-quants.cpp
+++ b/ggml/src/ggml-openvino/ggml-quants.cpp
@@ -46,6 +46,7 @@ void unpack_32_4(const uint8_t * data, uint8_t * dst) {
 
 // Extracts (weight, scales, zp) from Q4_0 tensors.
 // Data layout is: |16 bit scale|32 x 4bit weights|.
+// When zp_arr is empty (symmetric), weights are stored as signed i4 (value - 8).
 void extract_q4_0_data(const ggml_tensor * tensor,
                        ov::Tensor & weights_arr,
                        ov::Tensor & scales_arr,
@@ -55,28 +56,32 @@ void extract_q4_0_data(const ggml_tensor * tensor,
     auto * data = static_cast<uint8_t *>(tensor->data);
     auto * weights = static_cast<uint8_t *>(weights_arr.data());
     auto * scales = scales_arr.data<ov::element_type_traits<ov::element::f16>::value_type>();
-    auto * zp = static_cast<uint8_t *>(zp_arr.data());
-
-    bool is_scalar_zp = (zp_arr.get_size() == 1);  // Symmetric quantization
 
-    // For Q4_0, zero point is always 8
-    if (is_scalar_zp) {
-        zp[0] = 8 | (8 << 4);  // Pack two 4-bit values
-    }
+    bool is_symmetric = (weights_arr.get_element_type() == ov::element::i4);  // Signed i4 path
 
-    ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
-        scales[i] = ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block)));
-        // For asymmetric quantization, compute per-block zero points
-        if (!is_scalar_zp) {
+    if (!is_symmetric) {
+        auto * zp = static_cast<uint8_t *>(zp_arr.data());
+        ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
+            scales[i] = ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block)));
             // Pack two 4-bit zero points per byte
             if (i % 2 == 0) {
                 zp[i / 2] = 8;          // Lower nibble
             } else {
                 zp[i / 2] |= (8 << 4);  // Upper nibble
             }
-        }
-        unpack_32_4(data + i * bytes_per_block + 2, weights + i * 16);
-    });
+            unpack_32_4(data + i * bytes_per_block + 2, weights + i * 16);
+        });
+    } else {
+        // Symmetric: unpack as u4 then convert to i4 by subtracting 8 (XOR each nibble)
+        ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
+            scales[i] = ov::float16::from_bits(*((uint16_t *) (data + i * bytes_per_block)));
+            unpack_32_4(data + i * bytes_per_block + 2, weights + i * 16);
+            // Convert u4 to i4: subtract 8 from each nibble. XOR 0x88 flips each nibble by 8.
+            for (int j = 0; j < 16; ++j) {
+                weights[i * 16 + j] ^= 0x88;
+            }
+        });
+    }
 }
 
 // Extracts (weight, scales, zp) from Q4_1 tensors.
@@ -123,6 +128,7 @@ void extract_q4_1_data(const ggml_tensor * tensor,
 
 // Extracts (weight, scales, zp) from Q8_0 tensors.
 // Data layout is: |16 bit scale|32 x 8bit weights|.
+// When zp_arr is empty (symmetric), weights are stored as signed i8 directly.
 void extract_q8_0_data(const ggml_tensor * tensor,
                        ov::Tensor & weights_arr,
                        ov::Tensor & scales_arr,
@@ -133,29 +139,30 @@ void extract_q8_0_data(const ggml_tensor * tensor,
     auto * data = static_cast<uint8_t *>(tensor->data);
     auto * weights = static_cast<uint8_t *>(weights_arr.data());
     auto * scales = scales_arr.data<ov::element_type_traits<ov::element::f16>::value_type>();
-    auto * zp = static_cast<uint8_t *>(zp_arr.data());
-
-    bool is_scalar_zp = (zp_arr.get_size() == 1);  // Symmetric quantization
 
-    // For Q8_0, zero point is always 128
-    if (is_scalar_zp) {
-        zp[0] = 128;
-    }
+    bool is_symmetric = (weights_arr.get_element_type() == ov::element::i8);  // Signed i8 path
 
-    ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
-        uint8_t * block_data = data + i * bytes_per_block;
-        scales[i] = ov::float16::from_bits(*(uint16_t *) block_data);
-        // For asymmetric quantization, store per-block zero points
-        if (!is_scalar_zp) {
+    if (!is_symmetric) {
+        auto * zp = static_cast<uint8_t *>(zp_arr.data());
+        ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
+            uint8_t * block_data = data + i * bytes_per_block;
+            scales[i] = ov::float16::from_bits(*(uint16_t *) block_data);
             zp[i] = 128;
-        }
-        for (size_t j = 0; j < weights_per_block; ++j) {
-            uint8_t x = block_data[j + 2];  // j+2 to skip the scale bytes.
-            // Original data is in int8_t, so we add a bias of -128 and invert the first bit.
-            x ^= 1 << 7;
-            weights[i * weights_per_block + j] = x;
-        }
-    });
+            for (size_t j = 0; j < weights_per_block; ++j) {
+                uint8_t x = block_data[j + 2];
+                x ^= 1 << 7;  // Convert int8 to uint8 by flipping sign bit
+                weights[i * weights_per_block + j] = x;
+            }
+        });
+    } else {
+        // Symmetric: store original int8 values directly (no unsigned bias)
+        ov::parallel_for(scales_arr.get_size(), [&](size_t i) {
+            uint8_t * block_data = data + i * bytes_per_block;
+            scales[i] = ov::float16::from_bits(*(uint16_t *) block_data);
+            // Copy int8 weights as-is (the tensor element type is i8)
+            memcpy(weights + i * weights_per_block, block_data + 2, weights_per_block);
+        });
+    }
 }
 
 void unpack_256_4(const uint8_t * data, uint8_t * dst) {
@@ -256,44 +263,62 @@ void extract_q6_k_data(const ggml_tensor * tensor,
     auto * data = static_cast<uint8_t *>(tensor->data);
     auto * weights = static_cast<uint8_t *>(weights_arr.data());
     auto * scales = scales_arr.data<ov::element_type_traits<ov::element::f16>::value_type>();
-    auto * zp = static_cast<uint8_t *>(zp_arr.data());
-
-    bool is_scalar_zp = (zp_arr.get_size() == 1);  // Symmetric quantization
-
-    // For Q6_K, zero point is always 32
-    if (is_scalar_zp) {
-        zp[0] = 32;
-    }
-
-    ov::parallel_for(n_super_block, [&](size_t i) {
-        uint8_t * block_data = data + i * bytes_per_block;
 
-        float scale_factor =
-            static_cast<float>(ov::float16::from_bits(*((uint16_t *) block_data + 104)));  // (128+64+16)/2
+    bool is_symmetric = (weights_arr.get_element_type() == ov::element::i8);  // Signed i8 path
 
-        for (size_t j = 0; j < 16; j++) {
-            scales[j + i * 16] =
-                ov::float16(scale_factor * static_cast<float>(*((int8_t *) (block_data + 128 + 64 + j))));
-            // For asymmetric quantization, store per-block zero points
-            if (!is_scalar_zp) {
+    if (!is_symmetric) {
+        auto * zp = static_cast<uint8_t *>(zp_arr.data());
+        ov::parallel_for(n_super_block, [&](size_t i) {
+            uint8_t * block_data = data + i * bytes_per_block;
+            float scale_factor = static_cast<float>(ov::float16::from_bits(*((uint16_t *) block_data + 104)));
+            for (size_t j = 0; j < 16; j++) {
+                scales[j + i * 16] =
+                    ov::float16(scale_factor * static_cast<float>(*((int8_t *) (block_data + 128 + 64 + j))));
                 zp[j + i * 16] = 32;
             }
-        }
-
-        uint8_t * ql = block_data;
-        uint8_t * qh = block_data + 128;
-
-        for (int64_t j = 0; j < 32; ++j) {
-            weights[i * 256 + j] = (ql[j] & 0xF) | (((qh[j] >> 0) & 3) << 4);
-            weights[i * 256 + j + 32] = (ql[32 + j] & 0xF) | (((qh[j] >> 2) & 3) << 4);
-            weights[i * 256 + j + 64] = (ql[j] >> 4) | (((qh[j] >> 4) & 3) << 4);
-            weights[i * 256 + j + 96] = (ql[32 + j] >> 4) | (((qh[j] >> 6) & 3) << 4);
-            weights[i * 256 + j + 128] = (ql[64 + j] & 0xF) | (((qh[32 + j] >> 0) & 3) << 4);
-            weights[i * 256 + j + 160] = (ql[96 + j] & 0xF) | (((qh[32 + j] >> 2) & 3) << 4);
-            weights[i * 256 + j + 192] = (ql[64 + j] >> 4) | (((qh[32 + j] >> 4) & 3) << 4);
-            weights[i * 256 + j + 224] = (ql[96 + j] >> 4) | (((qh[32 + j] >> 6) & 3) << 4);
-        }
-    });
+            uint8_t * ql = block_data;
+            uint8_t * qh = block_data + 128;
+            for (int64_t j = 0; j < 32; ++j) {
+                weights[i * 256 + j] = (ql[j] & 0xF) | (((qh[j] >> 0) & 3) << 4);
+                weights[i * 256 + j + 32] = (ql[32 + j] & 0xF) | (((qh[j] >> 2) & 3) << 4);
+                weights[i * 256 + j + 64] = (ql[j] >> 4) | (((qh[j] >> 4) & 3) << 4);
+                weights[i * 256 + j + 96] = (ql[32 + j] >> 4) | (((qh[j] >> 6) & 3) << 4);
+                weights[i * 256 + j + 128] = (ql[64 + j] & 0xF) | (((qh[32 + j] >> 0) & 3) << 4);
+                weights[i * 256 + j + 160] = (ql[96 + j] & 0xF) | (((qh[32 + j] >> 2) & 3) << 4);
+                weights[i * 256 + j + 192] = (ql[64 + j] >> 4) | (((qh[32 + j] >> 4) & 3) << 4);
+                weights[i * 256 + j + 224] = (ql[96 + j] >> 4) | (((qh[32 + j] >> 6) & 3) << 4);
+            }
+        });
+    } else {
+        // Symmetric: subtract 32 from each weight to store as signed i8
+        ov::parallel_for(n_super_block, [&](size_t i) {
+            uint8_t * block_data = data + i * bytes_per_block;
+            float scale_factor = static_cast<float>(ov::float16::from_bits(*((uint16_t *) block_data + 104)));
+            for (size_t j = 0; j < 16; j++) {
+                scales[j + i * 16] =
+                    ov::float16(scale_factor * static_cast<float>(*((int8_t *) (block_data + 128 + 64 + j))));
+            }
+            uint8_t * ql = block_data;
+            uint8_t * qh = block_data + 128;
+            auto * signed_weights = reinterpret_cast<int8_t *>(weights);
+            for (int64_t j = 0; j < 32; ++j) {
+                signed_weights[i * 256 + j] = static_cast<int8_t>((ql[j] & 0xF) | (((qh[j] >> 0) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 32] =
+                    static_cast<int8_t>((ql[32 + j] & 0xF) | (((qh[j] >> 2) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 64] = static_cast<int8_t>((ql[j] >> 4) | (((qh[j] >> 4) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 96] =
+                    static_cast<int8_t>((ql[32 + j] >> 4) | (((qh[j] >> 6) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 128] =
+                    static_cast<int8_t>((ql[64 + j] & 0xF) | (((qh[32 + j] >> 0) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 160] =
+                    static_cast<int8_t>((ql[96 + j] & 0xF) | (((qh[32 + j] >> 2) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 192] =
+                    static_cast<int8_t>((ql[64 + j] >> 4) | (((qh[32 + j] >> 4) & 3) << 4)) - 32;
+                signed_weights[i * 256 + j + 224] =
+                    static_cast<int8_t>((ql[96 + j] >> 4) | (((qh[32 + j] >> 6) & 3) << 4)) - 32;
+            }
+        });
+    }
 }
 
 static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t * d, uint8_t * m) {
@@ -389,11 +414,10 @@ ov::Output<ov::Node> make_int8_weights(ov::Tensor & weight,
                                        size_t group_size,
                                        bool use_bias) {
     ov::Shape orig_shape = weight.get_shape();
+    bool is_signed = (weight.get_element_type() == ov::element::i8);  // Symmetric: signed weights, no ZP
 
     // Expand dimensions for scales and zp/bias
     auto scale_shape = scales.get_shape();
-    auto zp_shape = zp.get_shape();
-    bool is_scalar_zp = zp_shape.empty();  // Symmetric quantization
 
     ov::Shape packed_shape = {orig_shape[0], orig_shape[1] / group_size, group_size};
 
@@ -403,37 +427,48 @@ ov::Output<ov::Node> make_int8_weights(ov::Tensor & weight,
     } else {
         scale_shape.push_back(1);
         scales.set_shape(scale_shape);
-        // For symmetric quantization, zp remains scalar (don't resize)
-        if (!is_scalar_zp) {
+        if (!is_signed && zp.get_size() > 0) {
+            auto zp_shape = zp.get_shape();
             zp_shape.push_back(1);
             zp.set_shape(zp_shape);
         }
     }
 
-    // Create graph nodes
-    auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::u8, packed_shape,
-                                                               static_cast<uint8_t *>(weight.data()), nullptr);
-    weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
     auto scales_f16 = std::make_shared<ov::op::v0::Constant>(scales);
-    auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
 
     ov::Output<ov::Node> result;
-    if (use_bias && !is_scalar_zp) {
-        // Bias path: w * s + b (zp tensor holds f16 bias values)
-        auto bias_f16 = std::make_shared<ov::op::v0::Constant>(zp);
-        auto w_s = std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
-        result = std::make_shared<ov::op::v1::Add>(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY);
+    if (is_signed) {
+        // Signed path: q * s (no zero point subtraction needed)
+        auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::i8, packed_shape,
+                                                                   static_cast<uint8_t *>(weight.data()), nullptr);
+        weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
+        auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
+        result = std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
     } else {
-        // Zero point path: (w - zp) * s
-        auto zero_point = std::make_shared<ov::op::v0::Constant>(zp);
-        float zp_value;
-        if (ov::op::util::get_single_value(zero_point, zp_value)) {
-            zero_point = ov::op::v0::Constant::create(zero_point->get_element_type(), {}, {zp_value});
+        // Unsigned path
+        auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::u8, packed_shape,
+                                                                   static_cast<uint8_t *>(weight.data()), nullptr);
+        weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
+        auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
+
+        if (use_bias && zp.get_size() > 0) {
+            // Bias path: w * s + b (zp tensor holds f16 bias values)
+            auto bias_f16 = std::make_shared<ov::op::v0::Constant>(zp);
+            auto w_s =
+                std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
+            result = std::make_shared<ov::op::v1::Add>(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY);
+        } else {
+            // Zero point path: (w - zp) * s
+            auto zero_point = std::make_shared<ov::op::v0::Constant>(zp);
+            float zp_value;
+            if (ov::op::util::get_single_value(zero_point, zp_value)) {
+                zero_point = ov::op::v0::Constant::create(zero_point->get_element_type(), {}, {zp_value});
+            }
+            auto zero_point_f16 = std::make_shared<ov::op::v0::Convert>(zero_point, ov::element::f16);
+            auto w_zp =
+                std::make_shared<ov::op::v1::Subtract>(weights_f16, zero_point_f16, ov::op::AutoBroadcastType::NUMPY);
+            result = std::make_shared<ov::op::v1::Multiply>(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY);
         }
-        auto zero_point_f16 = std::make_shared<ov::op::v0::Convert>(zero_point, ov::element::f16);
-        auto w_zp =
-            std::make_shared<ov::op::v1::Subtract>(weights_f16, zero_point_f16, ov::op::AutoBroadcastType::NUMPY);
-        result = std::make_shared<ov::op::v1::Multiply>(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY);
     }
 
     if (packed_shape.size() != 2) {
@@ -452,11 +487,10 @@ ov::Output<ov::Node> make_int4_weights(ov::Tensor & weight,
                                        size_t group_size,
                                        bool use_bias) {
     ov::Shape orig_weight_shape = weight.get_shape();
+    bool is_signed = (weight.get_element_type() == ov::element::i4);  // Symmetric: signed weights, no ZP
 
     // Expand dimensions for scales and zp/bias
     ov::Shape scale_shape = scales.get_shape();
-    auto zp_shape = zp.get_shape();
-    bool is_scalar_zp = zp_shape.empty();  // Symmetric quantization
 
     // Create INT4 weight tensor
     ov::Shape packed_shape = {orig_weight_shape[0], orig_weight_shape[1] / group_size, group_size};
@@ -467,36 +501,48 @@ ov::Output<ov::Node> make_int4_weights(ov::Tensor & weight,
     } else {
         scale_shape.push_back(1);
         scales.set_shape(scale_shape);
-        // For symmetric quantization, zp remains scalar (don't resize)
-        if (!is_scalar_zp) {
+        if (!is_signed && zp.get_size() > 0) {
+            auto zp_shape = zp.get_shape();
             zp_shape.push_back(1);
             zp.set_shape(zp_shape);
         }
     }
 
-    auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::u4, packed_shape,
-                                                               static_cast<uint8_t *>(weight.data()), nullptr);
-    weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
-    auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
     auto scales_f16 = std::make_shared<ov::op::v0::Constant>(scales);
 
     ov::Output<ov::Node> result;
-    if (use_bias && !is_scalar_zp) {
-        // Bias path: w * s + b (zp tensor holds f16 bias values)
-        auto bias_f16 = std::make_shared<ov::op::v0::Constant>(zp);
-        auto w_s = std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
-        result = std::make_shared<ov::op::v1::Add>(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY);
+    if (is_signed) {
+        // Signed path: q * s (no zero point subtraction needed)
+        auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::i4, packed_shape,
+                                                                   static_cast<uint8_t *>(weight.data()), nullptr);
+        weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
+        auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
+        result = std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
     } else {
-        // Zero point path: (w - zp) * s
-        auto zero_points_node = std::make_shared<ov::op::v0::Constant>(zp);
-        float zp_value;
-        if (ov::op::util::get_single_value(zero_points_node, zp_value)) {
-            zero_points_node = ov::op::v0::Constant::create(zero_points_node->get_element_type(), {}, {zp_value});
+        // Unsigned path
+        auto weights_node = std::make_shared<ov::op::v0::Constant>(ov::element::u4, packed_shape,
+                                                                   static_cast<uint8_t *>(weight.data()), nullptr);
+        weights_node->get_rt_info()["__gguf_tensor_holder"] = weight;
+        auto weights_f16 = std::make_shared<ov::op::v0::Convert>(weights_node, ov::element::f16);
+
+        if (use_bias && zp.get_size() > 0) {
+            // Bias path: w * s + b (zp tensor holds f16 bias values)
+            auto bias_f16 = std::make_shared<ov::op::v0::Constant>(zp);
+            auto w_s =
+                std::make_shared<ov::op::v1::Multiply>(weights_f16, scales_f16, ov::op::AutoBroadcastType::NUMPY);
+            result = std::make_shared<ov::op::v1::Add>(w_s, bias_f16, ov::op::AutoBroadcastType::NUMPY);
+        } else {
+            // Zero point path: (w - zp) * s
+            auto zero_points_node = std::make_shared<ov::op::v0::Constant>(zp);
+            float zp_value;
+            if (ov::op::util::get_single_value(zero_points_node, zp_value)) {
+                zero_points_node = ov::op::v0::Constant::create(zero_points_node->get_element_type(), {}, {zp_value});
+            }
+            auto zero_points_f16 = std::make_shared<ov::op::v0::Convert>(zero_points_node, ov::element::f16);
+            auto w_zp =
+                std::make_shared<ov::op::v1::Subtract>(weights_f16, zero_points_f16, ov::op::AutoBroadcastType::NUMPY);
+            result = std::make_shared<ov::op::v1::Multiply>(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY);
         }
-        auto zero_points_f16 = std::make_shared<ov::op::v0::Convert>(zero_points_node, ov::element::f16);
-        auto w_zp =
-            std::make_shared<ov::op::v1::Subtract>(weights_f16, zero_points_f16, ov::op::AutoBroadcastType::NUMPY);
-        result = std::make_shared<ov::op::v1::Multiply>(w_zp, scales_f16, ov::op::AutoBroadcastType::NUMPY);
     }
 
     if (packed_shape.size() != 2) {
@@ -699,24 +745,32 @@ OvWeight process_weight_tensor(const ggml_tensor * tensor, const void * data, vo
 
     // Quantized path (normal extraction or quantized requant)
     // Create weight/scale/zp tensors - shared between both paths
-    ov::element::Type weight_type = layout.is_u4 ? ov::element::u4 : ov::element::u8;
+    // For symmetric quantization, use signed types (i4/i8) and no ZP tensor
+    ov::element::Type weight_type = layout.is_symmetric ? (layout.is_u4 ? ov::element::i4 : ov::element::i8) :
+                                                          (layout.is_u4 ? ov::element::u4 : ov::element::u8);
     ov::Shape scale_shape = {node_shape[0], node_shape[1] / layout.weights_per_block};
-    ov::Shape zp_shape = layout.is_symmetric ? ov::Shape{} : scale_shape;
 
     if (output_base_ptr) {
         uint8_t * buf_base = static_cast<uint8_t *>(output_base_ptr);
         result.weights = ov::Tensor(weight_type, node_shape, buf_base + layout.weights_offset);
         result.scales = ov::Tensor(ov::element::f16, scale_shape, buf_base + layout.scales_offset);
-        result.zp = ov::Tensor(weight_type, zp_shape, buf_base + layout.zp_offset);
+        if (!layout.is_symmetric) {
+            ov::element::Type zp_type = layout.is_u4 ? ov::element::u4 : ov::element::u8;
+            result.zp = ov::Tensor(zp_type, scale_shape, buf_base + layout.zp_offset);
+        }
+        // else: result.zp remains default-constructed (empty) for symmetric
     } else {
         result.weights = ov::Tensor(weight_type, node_shape);
         result.scales = ov::Tensor(ov::element::f16, scale_shape);
-        if (use_bias && !layout.is_symmetric) {
-            // bias only has effect for asymmetric quant
-            result.zp = ov::Tensor(ov::element::f16, zp_shape);
-        } else {
-            result.zp = ov::Tensor(weight_type, zp_shape);
+        if (!layout.is_symmetric) {
+            if (use_bias) {
+                result.zp = ov::Tensor(ov::element::f16, scale_shape);
+            } else {
+                ov::element::Type zp_type = layout.is_u4 ? ov::element::u4 : ov::element::u8;
+                result.zp = ov::Tensor(zp_type, scale_shape);
+            }
         }
+        // else: result.zp remains default-constructed (empty) for symmetric
     }
 
     if (layout.is_requant && layout.requant_type.has_value()) {
@@ -741,59 +795,75 @@ void quantize_q4_0(const float * x,
 
     auto * weights = static_cast<uint8_t *>(weights_arr.data());
     auto * scales = scales_arr.data<ov::element_type_traits<ov::element::f16>::value_type>();
-    auto * zp = static_cast<uint8_t *>(zp_arr.data());
-    bool is_scalar_zp = (zp_arr.get_size() == 1);  // Symmetric quantization
-
-    // For Q4_0, zero point is always 8
-    if (is_scalar_zp) {
-        zp[0] = 8 | (8 << 4);  // Pack two 4-bit values
-    }
+    bool is_symmetric = (weights_arr.get_element_type() == ov::element::i4);  // Signed i4 path
 
-    for (int i = 0; i < nb; i++) {
-        float amax = 0.0f;  // absolute max
-        float max = 0.0f;
-
-        for (int j = 0; j < qk; j++) {
-            const float v = x[i * qk + j];
-            if (amax < fabsf(v)) {
-                amax = fabsf(v);
-                max = v;
+    if (!is_symmetric) {
+        auto * zp = static_cast<uint8_t *>(zp_arr.data());
+        for (int i = 0; i < nb; i++) {
+            float amax = 0.0f;
+            float max = 0.0f;
+            for (int j = 0; j < qk; j++) {
+                const float v = x[i * qk + j];
+                if (amax < fabsf(v)) {
+                    amax = fabsf(v);
+                    max = v;
+                }
             }
-        }
-
-        const float d = max / -8;
-
-        if (d == 0) {
-            scales[i] = ov::float16(1.0f);
-            // zp is already set to 8 for symmetric, or set per-block for asymmetric
-            if (!is_scalar_zp) {
+            const float d = max / -8;
+            if (d == 0) {
+                scales[i] = ov::float16(1.0f);
                 if (i % 2 == 0) {
                     zp[i / 2] = 8;
                 } else {
                     zp[i / 2] |= (8 << 4);
                 }
+                memset(weights + i * qk / 2, 8 | (8 << 4), qk / 2);
+                continue;
             }
-            memset(weights + i * qk / 2, 8 | (8 << 4), qk / 2);
-            continue;
-        }
-
-        const float id = 1.0f / d;
-        scales[i] = ov::float16(d);
-        // For asymmetric quantization, store per-block zero points
-        if (!is_scalar_zp) {
+            const float id = 1.0f / d;
+            scales[i] = ov::float16(d);
             if (i % 2 == 0) {
                 zp[i / 2] = 8;
             } else {
                 zp[i / 2] |= (8 << 4);
             }
+            for (int j = 0; j < qk / 2; ++j) {
+                const float x0 = x[i * qk + 2 * j] * id;
+                const float x1 = x[i * qk + 2 * j + 1] * id;
+                const uint8_t xi0 = MIN(15, (int8_t) (x0 + 8.5f));
+                const uint8_t xi1 = MIN(15, (int8_t) (x1 + 8.5f));
+                weights[i * qk / 2 + j] = xi0 | (xi1 << 4);
+            }
         }
-
-        for (int j = 0; j < qk / 2; ++j) {
-            const float x0 = x[i * qk + 2 * j] * id;
-            const float x1 = x[i * qk + 2 * j + 1] * id;
-            const uint8_t xi0 = MIN(15, (int8_t) (x0 + 8.5f));
-            const uint8_t xi1 = MIN(15, (int8_t) (x1 + 8.5f));
-            weights[i * qk / 2 + j] = xi0 | (xi1 << 4);
+    } else {
+        // Symmetric: produce signed i4 values in [-8, 7]
+        for (int i = 0; i < nb; i++) {
+            float amax = 0.0f;
+            float max = 0.0f;
+            for (int j = 0; j < qk; j++) {
+                const float v = x[i * qk + j];
+                if (amax < fabsf(v)) {
+                    amax = fabsf(v);
+                    max = v;
+                }
+            }
+            const float d = max / -8;
+            if (d == 0) {
+                scales[i] = ov::float16(1.0f);
+                // i4 value 0 packed: 0x00
+                memset(weights + i * qk / 2, 0, qk / 2);
+                continue;
+            }
+            const float id = 1.0f / d;
+            scales[i] = ov::float16(d);
+            for (int j = 0; j < qk / 2; ++j) {
+                const float x0 = x[i * qk + 2 * j] * id;
+                const float x1 = x[i * qk + 2 * j + 1] * id;
+                // Signed i4: range [-8, 7]. Quantize as round(x*id), then pack as 4-bit two's complement.
+                int8_t si0 = (int8_t) std::max(-8, std::min(7, (int) roundf(x0)));
+                int8_t si1 = (int8_t) std::max(-8, std::min(7, (int) roundf(x1)));
+                weights[i * qk / 2 + j] = (si0 & 0x0F) | ((si1 & 0x0F) << 4);
+            }
         }
     }
 }
@@ -809,36 +879,42 @@ void quantize_q8_0(const float * x,
 
     auto * weights = static_cast<uint8_t *>(weights_arr.data());
     auto * scales = scales_arr.data<ov::element_type_traits<ov::element::f16>::value_type>();
-    auto * zp = static_cast<uint8_t *>(zp_arr.data());
-    bool is_scalar_zp = (zp_arr.get_size() == 1);  // Symmetric quantization
-
-    // For Q8_0, zero point is always 128
-    if (is_scalar_zp) {
-        zp[0] = 128;
-    }
-
-    for (int i = 0; i < nb; i++) {
-        float amax = 0.0f;  // absolute max
+    bool is_symmetric = (weights_arr.get_element_type() == ov::element::i8);  // Signed i8 path
 
-        for (int j = 0; j < qk; j++) {
-            const float v = x[i * qk + j];
-            if (amax < fabsf(v)) {
-                amax = fabsf(v);
+    if (!is_symmetric) {
+        auto * zp = static_cast<uint8_t *>(zp_arr.data());
+        for (int i = 0; i < nb; i++) {
+            float amax = 0.0f;
+            for (int j = 0; j < qk; j++) {
+                const float v = x[i * qk + j];
+                amax = std::max(amax, fabsf(v));
             }
-        }
-
-        const float d = amax / 127.0f;
-        const float id = d ? 1.0f / d : 0.0f;
-        scales[i] = ov::float16(d);
-        // For asymmetric quantization, store per-block zero points
-        if (!is_scalar_zp) {
+            const float d = amax / 127.0f;
+            const float id = d ? 1.0f / d : 0.0f;
+            scales[i] = ov::float16(d);
             zp[i] = 128;
+            for (int j = 0; j < qk; ++j) {
+                const float x0 = x[i * qk + j] * id;
+                const int8_t xi0 = roundf(x0);
+                weights[i * qk + j] = (uint8_t) (xi0 + 128);
+            }
         }
-
-        for (int j = 0; j < qk; ++j) {
-            const float x0 = x[i * qk + j] * id;
-            const int8_t xi0 = roundf(x0);
-            weights[i * qk + j] = (uint8_t) (xi0 + 128);
+    } else {
+        // Symmetric: store signed int8 values directly
+        auto * signed_weights = reinterpret_cast<int8_t *>(weights);
+        for (int i = 0; i < nb; i++) {
+            float amax = 0.0f;
+            for (int j = 0; j < qk; j++) {
+                const float v = x[i * qk + j];
+                amax = std::max(amax, fabsf(v));
+            }
+            const float d = amax / 127.0f;
+            const float id = d ? 1.0f / d : 0.0f;
+            scales[i] = ov::float16(d);
+            for (int j = 0; j < qk; ++j) {
+                const float x0 = x[i * qk + j] * id;
+                signed_weights[i * qk + j] = (int8_t) roundf(x0);
+            }
         }
     }
 }
@@ -861,12 +937,8 @@ void quantize_q8_1(const float * x,
 
         for (int j = 0; j < qk; j++) {
             const float v = x[i * qk + j];
-            if (v < min) {
-                min = v;
-            }
-            if (v > max) {
-                max = v;
-            }
+            min = std::min(v, min);
+            max = std::max(v, max);
         }
 
         const float d = (max - min) / ((1 << 8) - 1);
diff --git a/ggml/src/ggml-openvino/openvino/op/rope.cpp b/ggml/src/ggml-openvino/openvino/op/rope.cpp
index 26dc2d24f..a8db9b389 100644
--- a/ggml/src/ggml-openvino/openvino/op/rope.cpp
+++ b/ggml/src/ggml-openvino/openvino/op/rope.cpp
@@ -9,12 +9,17 @@
 #include <openvino/op/add.hpp>
 #include <openvino/op/concat.hpp>
 #include <openvino/op/constant.hpp>
+#include <openvino/op/convert.hpp>
+#include <openvino/op/cos.hpp>
+#include <openvino/op/gather.hpp>
 #include <openvino/op/multiply.hpp>
 #include <openvino/op/reshape.hpp>
 #include <openvino/op/shape_of.hpp>
+#include <openvino/op/sin.hpp>
 #include <openvino/op/slice.hpp>
 #include <openvino/op/split.hpp>
 #include <openvino/op/subtract.hpp>
+#include <openvino/op/transpose.hpp>
 #include <openvino/op/unsqueeze.hpp>
 #include <vector>
 
@@ -33,6 +38,12 @@ OutputVector translate_rope(const NodeContext & context) {
     auto data_node = context.get_input(0).get_node_shared_ptr();
     auto output_shape = context.get_output_shape().to_shape();
     int32_t * op_params = context.get_output_op_params();
+    const int mode = (op_case & 0xFFFF0000) >> 16;
+    op_case = (op_case & 0x0000FFFF);
+
+    constexpr int TYPE_NORMAL = 0;
+    constexpr int TYPE_NEOX = 1;
+    constexpr int TYPE_IMROPE = 2;
 
     Output<Node> cos_theta_node;
     Output<Node> sin_theta_node;
@@ -45,7 +56,7 @@ OutputVector translate_rope(const NodeContext & context) {
         if (context.get_input_size() == 3) {
             rope_freqs_weight = context.get_input(2).get_node_shared_ptr();
         }
-        auto sin_cos = make_sin_cos(op_params, inp_pos, rope_freqs_weight);
+        auto sin_cos = make_sin_cos(op_params, inp_pos, rope_freqs_weight, mode == TYPE_IMROPE);
         sin_theta_node = sin_cos.first;
         cos_theta_node = sin_cos.second;
     }
@@ -65,11 +76,7 @@ OutputVector translate_rope(const NodeContext & context) {
         }
     }
 
-    const int mode = op_params[2];
-    constexpr int ROPE_TYPE_NORMAL = 0;
-    constexpr int ROPE_TYPE_NEOX = 2;
-
-    if (mode == ROPE_TYPE_NORMAL) {
+    if (mode == TYPE_NORMAL) {
         auto neg_one = ov::op::v0::Constant::create(ov::element::i64, {1}, {-1});
         auto zero = ov::op::v0::Constant::create(ov::element::i64, {1}, {0});
         auto one = ov::op::v0::Constant::create(ov::element::i64, {1}, {1});
@@ -97,7 +104,7 @@ OutputVector translate_rope(const NodeContext & context) {
         auto data_shape = ov::op::v0::Constant::create(
             ov::element::i64, {4}, std::vector<int64_t>{1, -1, (int64_t) output_shape[2], (int64_t) output_shape[3]});
         res = std::make_shared<ov::op::v1::Reshape>(stack, data_shape, false);
-    } else if (mode == ROPE_TYPE_NEOX) {
+    } else if (mode == TYPE_NEOX) {
         auto data_split = std::make_shared<ov::op::v1::Split>(
             data_node, ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {-1}), 2);
         Output<Node> slice_data_node_0 = data_split->outputs()[0];
@@ -112,6 +119,25 @@ OutputVector translate_rope(const NodeContext & context) {
             std::make_shared<ov::op::v1::Multiply>(slice_data_node_1, cos_theta_node));
 
         res = std::make_shared<ov::op::v0::Concat>(ov::OutputVector{first_half_node, second_half_node}, -1);
+    } else if (mode == TYPE_IMROPE) {
+        int64_t n_dims = data_node->get_shape()[3];
+        auto cos_sin_shape = std::make_shared<ov::op::v0::Constant>(ov::element::i64, ov::Shape{4}, std::vector<int64_t>{1,-1,1,(n_dims >> 1)});
+        auto cos_reshaped = std::make_shared<ov::op::v1::Reshape>(cos_theta_node, cos_sin_shape, true);
+        auto sin_reshaped = std::make_shared<ov::op::v1::Reshape>(sin_theta_node, cos_sin_shape, true);
+
+        auto split_axis = ov::op::v0::Constant::create(ov::element::i64, ov::Shape{}, {3});
+        auto split_a = std::make_shared<ov::op::v1::Split>(data_node, split_axis, 2);
+        auto x0 = split_a->output(0);
+        auto x1 = split_a->output(1);
+        auto mul_a = std::make_shared<ov::op::v1::Multiply>(x0, cos_reshaped);
+        auto mul_b = std::make_shared<ov::op::v1::Multiply>(x1, sin_reshaped);
+        auto sub = std::make_shared<ov::op::v1::Subtract>(mul_a, mul_b);
+
+        auto mul_c = std::make_shared<ov::op::v1::Multiply>(x0, sin_reshaped);
+        auto mul_d = std::make_shared<ov::op::v1::Multiply>(x1, cos_reshaped);
+        auto add = std::make_shared<ov::op::v1::Add>(mul_c, mul_d);
+
+        res = std::make_shared<ov::op::v0::Concat>(ov::OutputVector{sub, add}, 3);
     }
 
     return rename_outputs_with_suffix({res}, context.get_name());
diff --git a/ggml/src/ggml-openvino/openvino/op/unary_gelu.cpp b/ggml/src/ggml-openvino/openvino/op/unary_gelu.cpp
new file mode 100644
index 000000000..d1e9efc33
--- /dev/null
+++ b/ggml/src/ggml-openvino/openvino/op/unary_gelu.cpp
@@ -0,0 +1,25 @@
+#include "../node_context.h"
+#include "../op_table.h"
+#include "../utils.h"
+
+#include <openvino/core/node_output.hpp>
+#include <openvino/op/gelu.hpp>
+
+namespace ov {
+namespace frontend {
+namespace ggml {
+namespace op {
+
+OutputVector translate_unary_gelu(const NodeContext & context) {
+    num_inputs_check(context, 1, 1);
+
+    auto input = context.get_input(0);
+    auto res = std::make_shared<ov::op::v7::Gelu>(input);
+
+    return rename_outputs_with_suffix({res}, context.get_name());
+}
+
+}  // namespace op
+}  // namespace ggml
+}  // namespace frontend
+}  // namespace ov
diff --git a/ggml/src/ggml-openvino/openvino/op_table.cpp b/ggml/src/ggml-openvino/openvino/op_table.cpp
index beadafe81..138553927 100644
--- a/ggml/src/ggml-openvino/openvino/op_table.cpp
+++ b/ggml/src/ggml-openvino/openvino/op_table.cpp
@@ -31,6 +31,7 @@ std::unordered_map<std::string, CreatorFunction> get_supported_ops() {
         {"GGML_OP_SOFT_MAX",       op::translate_soft_max                         },
         {"GGML_OP_SUB",            op::translate_1to1_match_2_inputs<v1::Subtract>},
         {"GGML_OP_TRANSPOSE",      op::translate_transpose                        },
+        {"GGML_UNARY_OP_GELU",     op::translate_unary_gelu                       },
         {"GGML_UNARY_OP_SILU",     op::translate_unary_silu                       },
         {"GGML_OP_VIEW",           op::translate_view                             },
         {"GGML_GLU_OP_SWIGLU",     op::translate_glu_swiglu                       },
diff --git a/ggml/src/ggml-openvino/openvino/op_table.h b/ggml/src/ggml-openvino/openvino/op_table.h
index 37f763117..f546796d2 100644
--- a/ggml/src/ggml-openvino/openvino/op_table.h
+++ b/ggml/src/ggml-openvino/openvino/op_table.h
@@ -21,6 +21,7 @@ GGML_OP_CONVERTER(translate_rms_norm);
 GGML_OP_CONVERTER(translate_rope);
 GGML_OP_CONVERTER(translate_scale);
 GGML_OP_CONVERTER(translate_unary_silu);
+GGML_OP_CONVERTER(translate_unary_gelu);
 GGML_OP_CONVERTER(translate_soft_max);
 GGML_OP_CONVERTER(translate_transpose);
 GGML_OP_CONVERTER(translate_view);
diff --git a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp
deleted file mode 100644
index ed2a3ab6d..000000000
--- a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.cpp
+++ /dev/null
@@ -1,123 +0,0 @@
-#include "eliminate_zp.h"
-
-#include <openvino/core/graph_util.hpp>
-#include <openvino/core/parallel.hpp>
-#include <openvino/core/rt_info.hpp>
-#include <openvino/op/constant.hpp>
-#include <openvino/op/convert.hpp>
-#include <openvino/op/multiply.hpp>
-#include <openvino/op/subtract.hpp>
-#include <openvino/pass/pattern/op/label.hpp>
-#include <openvino/pass/pattern/op/pattern.hpp>
-#include <openvino/pass/pattern/op/wrap_type.hpp>
-
-namespace ov {
-namespace frontend {
-namespace ggml {
-namespace pass {
-
-EliminateZeroPoints::EliminateZeroPoints() {
-    // Find pattern:
-    // (Multiply Any(scale)
-    //           (Subtract (Convert Constant(data)))
-    //                     (Convert Constant(zero_point)))
-    // where zero_point is a scalar
-    // If data is u4 and zp value is 8 (q4_0), Replace the Subtract with an i4 Constant whose value is data - zp_val
-    // If data is u8 and zp value is 128 (q8_0) or 32 (q6_k), Replace the Subtract with an i8 Constant
-
-    auto m_data_constant = ov::pass::pattern::wrap_type<ov::op::v0::Constant>();
-    auto m_data_convert = ov::pass::pattern::wrap_type<ov::op::v0::Convert>({m_data_constant});
-
-    auto m_zp_constant = ov::pass::pattern::wrap_type<ov::op::v0::Constant>();
-    auto m_zp_convert = ov::pass::pattern::wrap_type<ov::op::v0::Convert>({m_zp_constant});
-
-    auto m_subtract = ov::pass::pattern::wrap_type<ov::op::v1::Subtract>({m_data_convert, m_zp_convert});
-    auto m_scale = ov::pass::pattern::any_input();
-    auto m_multiply = ov::pass::pattern::wrap_type<ov::op::v1::Multiply>({m_scale, m_subtract});
-
-    const auto callback = [=](ov::pass::pattern::Matcher & m) {
-        const auto & pattern_map = m.get_pattern_value_map();
-
-        auto multiply_node =
-            std::dynamic_pointer_cast<ov::op::v1::Multiply>(pattern_map.at(m_multiply).get_node_shared_ptr());
-        auto subtract_node =
-            std::dynamic_pointer_cast<ov::op::v1::Subtract>(pattern_map.at(m_subtract).get_node_shared_ptr());
-        auto data_constant =
-            std::dynamic_pointer_cast<ov::op::v0::Constant>(pattern_map.at(m_data_constant).get_node_shared_ptr());
-        auto zp_constant =
-            std::dynamic_pointer_cast<ov::op::v0::Constant>(pattern_map.at(m_zp_constant).get_node_shared_ptr());
-
-        if (!multiply_node || !subtract_node || !data_constant || !zp_constant) {
-            return false;
-        }
-
-        if (ov::shape_size(zp_constant->get_shape()) != 1) {
-            return false;
-        }
-
-        auto data_type = data_constant->get_element_type();
-        auto zp_data = zp_constant->cast_vector<int>();
-
-        if (zp_data.empty()) {
-            return false;
-        }
-
-        int zp_value = zp_data[0];
-
-        bool should_eliminate = false;
-        ov::element::Type target_type;
-
-        if (data_type == ov::element::u4 && zp_value == 8) {
-            should_eliminate = true;
-            target_type = ov::element::i4;
-        } else if (data_type == ov::element::u8 && (zp_value == 128 || zp_value == 32)) {
-            should_eliminate = true;
-            target_type = ov::element::i8;
-        }
-
-        if (!should_eliminate) {
-            return false;
-        }
-
-        auto data_shape = data_constant->get_shape();
-        size_t total_elements = ov::shape_size(data_shape);
-
-        std::shared_ptr<ov::op::v0::Constant> new_constant;
-
-        // TODO improve performance
-        if (data_type == ov::element::u4) {
-            auto data_values = data_constant->cast_vector<uint8_t>();
-            std::vector<int8_t> adjusted_values(total_elements);
-
-            ov::parallel_for(total_elements, [&](size_t i) {
-                adjusted_values[i] = static_cast<int8_t>(static_cast<int>(data_values[i]) - 8);
-            });
-
-            new_constant = std::make_shared<ov::op::v0::Constant>(target_type, data_shape, adjusted_values);
-        } else if (data_type == ov::element::u8) {
-            auto data_values = data_constant->cast_vector<uint8_t>();
-            std::vector<int8_t> adjusted_values(total_elements);
-
-            ov::parallel_for(total_elements, [&, zp_value](size_t i) {
-                adjusted_values[i] = static_cast<int8_t>(static_cast<int>(data_values[i]) - zp_value);
-            });
-
-            new_constant = std::make_shared<ov::op::v0::Constant>(target_type, data_shape, adjusted_values);
-        }
-
-        auto new_convert =
-            std::make_shared<ov::op::v0::Convert>(new_constant, subtract_node->get_output_element_type(0));
-        ov::replace_node(subtract_node, new_convert);
-
-        return true;
-    };
-
-    register_matcher(
-        std::make_shared<ov::pass::pattern::Matcher>(m_multiply, "ov::frontend::ggml::pass::EliminateZeroPoints"),
-        callback);
-}
-
-}  // namespace pass
-}  // namespace ggml
-}  // namespace frontend
-}  // namespace ov
diff --git a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h b/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h
deleted file mode 100644
index edd3cd718..000000000
--- a/ggml/src/ggml-openvino/openvino/pass/eliminate_zp.h
+++ /dev/null
@@ -1,17 +0,0 @@
-#include "openvino/pass/matcher_pass.hpp"
-
-namespace ov {
-namespace frontend {
-namespace ggml {
-namespace pass {
-
-class EliminateZeroPoints : public ov::pass::MatcherPass {
-public:
-    OPENVINO_MATCHER_PASS_RTTI("ov::frontend::ggml::pass::EliminateZeroPoints")
-    EliminateZeroPoints();
-};
-
-}  // namespace pass
-}  // namespace ggml
-}  // namespace frontend
-}  // namespace ov
diff --git a/ggml/src/ggml-openvino/openvino/rt_info/weightless_caching_attributes.hpp b/ggml/src/ggml-openvino/openvino/rt_info/weightless_caching_attributes.hpp
new file mode 100644
index 000000000..f051891c4
--- /dev/null
+++ b/ggml/src/ggml-openvino/openvino/rt_info/weightless_caching_attributes.hpp
@@ -0,0 +1,41 @@
+// Copyright (C) 2018-2026 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include <openvino/core/core_visibility.hpp>
+#include <openvino/core/node.hpp>
+#include <openvino/core/runtime_attribute.hpp>
+
+namespace ov {
+
+/**
+ * @brief Holds weightless caching attributes of a single constant.
+ *
+ * WeightlessCacheAttribute class represents runtime info attribute that holds
+ * the values of original size of the constant in bytes and the binary offset of the
+ * constant's data in the weights file used by the weightless caching mechanism. It's
+ * not copyable in case the data was changed (the original node was replaced by a new
+ * one produced during the tranformation pipeline) - in that case weightless caching
+ * can't be used for that constant.
+ */
+class OPENVINO_API WeightlessCacheAttribute : public RuntimeAttribute {
+public:
+    OPENVINO_RTTI("WeightlessCacheAttribute", "0", RuntimeAttribute)
+
+    WeightlessCacheAttribute() = delete;
+
+    WeightlessCacheAttribute(size_t original_size, size_t bin_offset, ov::element::Type original_dtype)
+        : original_size(original_size),
+          bin_offset(bin_offset),
+          original_dtype(original_dtype) {}
+
+    bool is_copyable() const override;
+
+    size_t original_size;
+    size_t bin_offset;
+    ov::element::Type original_dtype;
+};
+
+}  // namespace ov
diff --git a/ggml/src/ggml-openvino/openvino/translate_session.cpp b/ggml/src/ggml-openvino/openvino/translate_session.cpp
index 23a1dea24..0f68a1f50 100644
--- a/ggml/src/ggml-openvino/openvino/translate_session.cpp
+++ b/ggml/src/ggml-openvino/openvino/translate_session.cpp
@@ -3,15 +3,16 @@
 #include "ggml-openvino/openvino/node_context.h"
 #include "ggml-openvino/openvino/utils.h"
 #include "input_model.h"
-#include "pass/eliminate_zp.h"
 #include "pass/mark_decompression_convert_constant_folding.h"
 #include "pass/squeeze_matmul.h"
+#include "rt_info/weightless_caching_attributes.hpp"
 
 #include <cstdint>
 #include <cstdlib>
 #include <map>
 #include <memory>
 #include <openvino/core/node.hpp>
+#include <openvino/core/preprocess/pre_post_process.hpp>
 #include <openvino/op/add.hpp>
 #include <openvino/op/broadcast.hpp>
 #include <openvino/op/concat.hpp>
@@ -33,7 +34,6 @@
 #include <openvino/op/unsqueeze.hpp>
 #include <openvino/pass/constant_folding.hpp>
 #include <openvino/pass/make_stateful.hpp>
-#include <openvino/core/preprocess/pre_post_process.hpp>
 
 namespace ov {
 namespace frontend {
@@ -240,6 +240,31 @@ std::shared_ptr<Model> TranslateSession::translate_graph(const frontend::InputMo
     resulting_model = std::make_shared<Model>(results, used_params);
 
     apply_transformations(resulting_model);
+
+    // Set WeightlessCacheAttribute on large constants to avoid unnecessary memory copies
+    // in the NPUW plugin. Without this attribute, NPUW's LazyTensor constructor
+    // (lazy_tensor.cpp, op::Const::Const) will memcpy every constant "in case export
+    // occurs", doubling memory usage per compile_model call.
+    //
+    // The bin_offset field serves as a unique key (not a real file offset) — this is
+    // the same convention the GPU plugin uses for non-IR models (see
+    // Plugin::set_weightless_cache_attributes in intel_gpu/src/plugin/plugin.cpp).
+    // Each constant must have a distinct bin_offset, otherwise GPU's weightless cache
+    // import will map multiple constants to the same data.
+    //
+    // Small constants (< 16 elements) are excluded since they may be introduced by
+    // optimization patterns and the overhead is negligible.
+    size_t offset = 0;
+    for (auto & node : resulting_model->get_ordered_ops()) {
+        if (auto cnst = ov::as_type_ptr<ov::op::v0::Constant>(node);
+            cnst && cnst->get_byte_size() / cnst->get_element_type().size() >= 16) {
+            auto & rt_info = cnst->get_rt_info();
+            if (rt_info.find(ov::WeightlessCacheAttribute::get_type_info_static()) == rt_info.end()) {
+                rt_info[ov::WeightlessCacheAttribute::get_type_info_static()] =
+                    ov::WeightlessCacheAttribute(cnst->get_byte_size(), offset++, cnst->get_element_type());
+            }
+        }
+    }
     return resulting_model;
 }
 
@@ -257,7 +282,6 @@ std::shared_ptr<Model> TranslateSession::apply_transformations(std::shared_ptr<M
         }
 
         if (ggml_model_decoder->is_static()) {
-            manager.register_pass<pass::EliminateZeroPoints>();
             manager.register_pass<pass::SqueezeMatmul>();
         }
         manager.run_passes(model);
diff --git a/ggml/src/ggml-openvino/openvino/utils.cpp b/ggml/src/ggml-openvino/openvino/utils.cpp
index 65356a51b..0baaf88e1 100644
--- a/ggml/src/ggml-openvino/openvino/utils.cpp
+++ b/ggml/src/ggml-openvino/openvino/utils.cpp
@@ -2,6 +2,7 @@
 
 #include "ggml-impl.h"
 
+#include <cmath>
 #include <cstddef>
 #include <ctime>
 #include <memory>
@@ -13,6 +14,7 @@
 #include <openvino/op/gather.hpp>
 #include <openvino/op/maximum.hpp>
 #include <openvino/op/multiply.hpp>
+#include <openvino/op/reshape.hpp>
 #include <openvino/op/shape_of.hpp>
 #include <openvino/op/sin.hpp>
 #include <openvino/op/squeeze.hpp>
@@ -87,8 +89,11 @@ ov::Output<ov::Node> rope_yarn_ramp_mix(int n_dims, const float corr_dims[2], fl
     auto ramp_y =
         std::make_shared<ov::op::v1::Divide>(std::make_shared<ov::op::v1::Subtract>(dim_ids, corr_low), denom);
     auto ramp_clamped = std::make_shared<ov::op::v0::Clamp>(ramp_y, 0.0f, 1.0f);
+    // rope_yarn_ramp returns (1 - clamp(y)), so invert before scaling
+    auto one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {1.0f});
+    auto ramp_inverted = std::make_shared<ov::op::v1::Subtract>(one, ramp_clamped);
     auto ext_factor_node = ov::op::v0::Constant::create(ov::element::f32, Shape{}, {ext_factor});
-    auto ramp_mix = std::make_shared<ov::op::v1::Multiply>(ramp_clamped, ext_factor_node);
+    auto ramp_mix = std::make_shared<ov::op::v1::Multiply>(ramp_inverted, ext_factor_node);
     return ramp_mix;
 }
 
@@ -115,6 +120,7 @@ void ggml_rope_yarn_corr_dims(int n_dims,
 std::pair<ov::Output<Node>, ov::Output<Node>> make_sin_cos(int32_t * rope_params,
                                                            std::shared_ptr<ov::Node> inp_pos,
                                                            std::shared_ptr<ov::Node> rope_freqs_weight,
+                                                           bool imrope,
                                                            bool stateful) {
     if (stateful) {
         inp_pos = std::make_shared<ov::op::v0::Squeeze>(inp_pos, ov::op::v0::Constant::create(ov::element::i64, {1}, {0}));
@@ -122,6 +128,13 @@ std::pair<ov::Output<Node>, ov::Output<Node>> make_sin_cos(int32_t * rope_params
         auto pos_perm =
             std::make_shared<ov::op::v0::Constant>(ov::element::i64, ov::Shape{3}, std::vector<int64_t>{2, 1, 0});
         inp_pos = std::make_shared<ov::op::v1::Transpose>(inp_pos, pos_perm);
+    } else if (imrope) {
+        inp_pos = std::make_shared<ov::op::v0::Convert>(inp_pos, ov::element::f32);
+        auto pos_shape = ov::op::v0::Constant::create(ov::element::i64, ov::Shape{5}, {0, 0, 0, 4, -1});
+        inp_pos = std::make_shared<ov::op::v1::Reshape>(inp_pos, pos_shape, true);
+        auto pos_transpose_shape =
+            std::make_shared<ov::op::v0::Constant>(ov::element::i64, ov::Shape{5}, std::vector<int64_t>{0, 1, 2, 4, 3});
+        inp_pos = std::make_shared<ov::op::v1::Transpose>(inp_pos, pos_transpose_shape);
     } else {
         inp_pos = std::make_shared<ov::op::v0::Convert>(inp_pos, ov::element::f32);
         auto pos_perm =
@@ -136,6 +149,7 @@ std::pair<ov::Output<Node>, ov::Output<Node>> make_sin_cos(int32_t * rope_params
     float beta_fast;
     float beta_slow;
     const int n_dims = rope_params[1];
+    const size_t n_dims_half = n_dims >> 1;
     const int n_ctx_orig = rope_params[4];
     memcpy(&freq_base, rope_params + 5, sizeof(float));
     memcpy(&freq_scale, rope_params + 6, sizeof(float));
@@ -146,57 +160,74 @@ std::pair<ov::Output<Node>, ov::Output<Node>> make_sin_cos(int32_t * rope_params
 
     const float theta_scale = powf(freq_base, -2.0f / n_dims);
 
-    float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
-
-    std::vector<float> factor(n_dims / 2);
-    factor[0] = 1.0f;
-    for (size_t i = 1; i < factor.size(); i++) {
-        factor[i] = theta_scale * factor[i - 1];
-    }
+    std::vector<float> factor(n_dims_half);
 
     Output<Node> freq_factors;
-    if (stateful) {
-        freq_factors =
-            std::make_shared<ov::op::v0::Constant>(ov::element::f32, ov::Shape{1, 1, factor.size()}, factor);
-    } else {
-        freq_factors =
-            std::make_shared<ov::op::v0::Constant>(ov::element::f32, ov::Shape{1, 1, 1, factor.size()}, factor);
-    }
-    if (rope_freqs_weight) {
-        freq_factors = std::make_shared<ov::op::v1::Divide>(freq_factors, rope_freqs_weight);
-    }
-
-    auto theta_extrap = std::make_shared<ov::op::v1::Multiply>(freq_factors, inp_pos);
-    auto theta_interp = std::make_shared<ov::op::v1::Multiply>(
-        theta_extrap, ov::op::v0::Constant::create(ov::element::f32, {1}, {freq_scale}));
 
     Output<Node> theta;
     float mscale = attn_factor;
-    if (ext_factor == 0.0f) {
-        theta = theta_interp;
+    if (imrope) {
+        std::vector<int64_t> gather_indices(n_dims_half);
+        for (size_t j = 0; j < n_dims_half; j++) {
+            gather_indices[j] = j % 3;
+            factor[j] = std::pow(theta_scale, j);
+        }
+        auto gather_indices_const =
+            std::make_shared<ov::op::v0::Constant>(ov::element::i64, ov::Shape{n_dims_half}, gather_indices);
+        auto gather_axis = ov::op::v0::Constant::create(ov::element::i32, ov::Shape{}, {4});
+        inp_pos = std::make_shared<ov::op::v8::Gather>(inp_pos, gather_indices_const, gather_axis);
+        auto factor_const = std::make_shared<ov::op::v0::Constant>(ov::element::f32, ov::Shape{n_dims_half}, factor);
+        theta = std::make_shared<ov::op::v1::Multiply>(inp_pos, factor_const);
     } else {
-        auto ramp_mix = rope_yarn_ramp_mix(n_dims, corr_dims, ext_factor);
-        Output<Node> one;
+        float corr_dims[2];
+        ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
+        factor[0] = 1.0f;
+        for (size_t i = 1; i < factor.size(); i++) {
+            factor[i] = theta_scale * factor[i - 1];
+        }
         if (stateful) {
-            one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1}, {1.0f});
+            freq_factors =
+                std::make_shared<ov::op::v0::Constant>(ov::element::f32, ov::Shape{1, 1, factor.size()}, factor);
         } else {
-            one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {1.0f});
+            freq_factors =
+                std::make_shared<ov::op::v0::Constant>(ov::element::f32, ov::Shape{1, 1, 1, factor.size()}, factor);
+        }
+        if (rope_freqs_weight) {
+            freq_factors = std::make_shared<ov::op::v1::Divide>(freq_factors, rope_freqs_weight);
         }
-        auto one_minus_ramp = std::make_shared<ov::op::v1::Subtract>(one, ramp_mix);
 
-        theta = std::make_shared<ov::op::v1::Add>(std::make_shared<ov::op::v1::Multiply>(theta_interp, one_minus_ramp),
-                                                  std::make_shared<ov::op::v1::Multiply>(theta_extrap, ramp_mix));
-        mscale *= (1.0f + 0.1f * std::log(1.0f / freq_scale));
+        auto theta_extrap = std::make_shared<ov::op::v1::Multiply>(freq_factors, inp_pos);
+        auto theta_interp = std::make_shared<ov::op::v1::Multiply>(
+            theta_extrap, ov::op::v0::Constant::create(ov::element::f32, {1}, {freq_scale}));
+
+        if (ext_factor == 0.0f) {
+            theta = theta_interp;
+        } else {
+            auto ramp_mix = rope_yarn_ramp_mix(n_dims, corr_dims, ext_factor);
+            Output<Node> one;
+            if (stateful) {
+                one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1}, {1.0f});
+            } else {
+                one = ov::op::v0::Constant::create(ov::element::f32, Shape{1, 1, 1, 1}, {1.0f});
+            }
+            auto one_minus_ramp = std::make_shared<ov::op::v1::Subtract>(one, ramp_mix);
+
+            theta = std::make_shared<ov::op::v1::Add>(std::make_shared<ov::op::v1::Multiply>(theta_interp, one_minus_ramp),
+                                                      std::make_shared<ov::op::v1::Multiply>(theta_extrap, ramp_mix));
+            mscale *= (1.0f + 0.1f * std::log(1.0f / freq_scale));
+        }
     }
 
     Output<Node> cos_theta = std::make_shared<ov::op::v0::Cos>(theta);
     Output<Node> sin_theta = std::make_shared<ov::op::v0::Sin>(theta);
 
-    auto mscale_node = ov::op::v0::Constant::create(ov::element::f32, Shape{}, {mscale});
+    if (!imrope) {
+        auto mscale_node = ov::op::v0::Constant::create(ov::element::f32, Shape{}, {mscale});
+
+        cos_theta = std::make_shared<ov::op::v1::Multiply>(cos_theta, mscale_node);
+        sin_theta = std::make_shared<ov::op::v1::Multiply>(sin_theta, mscale_node);
+    }
 
-    cos_theta = std::make_shared<ov::op::v1::Multiply>(cos_theta, mscale_node);
-    sin_theta = std::make_shared<ov::op::v1::Multiply>(sin_theta, mscale_node);
     return std::make_pair(sin_theta, cos_theta);
 }
 
diff --git a/ggml/src/ggml-openvino/openvino/utils.h b/ggml/src/ggml-openvino/openvino/utils.h
index 88dcad4c9..767dd4c53 100644
--- a/ggml/src/ggml-openvino/openvino/utils.h
+++ b/ggml/src/ggml-openvino/openvino/utils.h
@@ -67,6 +67,7 @@ OutputVector rename_outputs_with_suffix(const OutputVector& outputs, const std::
 std::pair<ov::Output<Node>, ov::Output<Node>> make_sin_cos(int32_t* rope_params,
                                                            std::shared_ptr<ov::Node> inp_pos,
                                                            std::shared_ptr<ov::Node> rope_freqs_weight = nullptr,
+                                                           bool imrope = false,
                                                            bool stateful = false);
 
 ov::Output<ov::Node> process_view_input(const NodeContext& context, int input_index, int slice_len = 0);
diff --git a/ggml/src/ggml-openvino/utils.cpp b/ggml/src/ggml-openvino/utils.cpp
index 1b553a0de..998ef7c9e 100644
--- a/ggml/src/ggml-openvino/utils.cpp
+++ b/ggml/src/ggml-openvino/utils.cpp
@@ -81,8 +81,8 @@ ov::Tensor create_ov_output_tensor(std::shared_ptr<GgmlOvDecoder> ggml_decoder,
 enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<ov_runtime_context> r_ctx) {
     auto & core = ov_singleton_core();
     const auto & config = ggml_openvino_get_compile_config();
-    auto device = r_ctx->device;
-    bool stateful = r_ctx->stateful;
+    const auto & device = r_ctx->device;
+    const auto & stateful = r_ctx->stateful;
     static auto is_static = false;
 
     if (is_naive(cgraph)) {
@@ -106,14 +106,26 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
     int64_t infer_end_time;
 
     {
-        std::lock_guard<std::mutex> lock(r_ctx->ov_compute_mutex);
+        std::shared_ptr<decoder_runtime_ctx> entry;
+        ModelParams old_m_params;
 
-        auto it = r_ctx->decoder_cache.find(key);
+        {
+            std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+            auto it = r_ctx->decoder_cache.find(key);
+            cache_hit = it != r_ctx->decoder_cache.end();
+            if (cache_hit) {
+                entry = it->second;
+            } else {
+                auto mutex = std::make_shared<std::mutex>();
+                entry = std::make_shared<decoder_runtime_ctx>(mutex);
+                r_ctx->decoder_cache[key] = entry;
+            }
+        }
+
+        std::lock_guard<std::mutex> lock(*(entry->mutex));
 
-        cache_hit = it != r_ctx->decoder_cache.end();
-        ModelParams old_m_params;
         if (cache_hit) {
-            ggml_decoder = it->second;
+            ggml_decoder = entry->ptr;
             old_m_params = ggml_decoder->get_model_params();
             cache_hit = old_m_params.can_reuse_dynamically(m_params);
         }
@@ -126,7 +138,10 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
                 ggml_decoder->update_io(cgraph);
             }
             ggml_decoder->add_extra_inputs();
-            infer_request = r_ctx->infer_request_cache.at(key);
+            {
+                std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+                infer_request = r_ctx->infer_request_cache.at(key);
+            }
 
             if (stateful) {
                 const auto * inp_pos = get_inp_pos_tensor(cgraph);
@@ -170,7 +185,10 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
             conversion_end_time = decoder_end_time;
             compile_end_time = decoder_end_time;
         } else {
-            r_ctx->infer_request_cache.erase(key);
+            {
+                std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+                r_ctx->infer_request_cache.erase(key);
+            }
 
             std::shared_ptr<ov::Model> model;
             auto model_weights = GgmlOvDecoder::create_weight_nodes(cgraph);
@@ -199,8 +217,7 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
             }
             compile_end_time = ggml_time_us();
             infer_request = std::make_shared<ov::InferRequest>(compiled_model.create_infer_request());
-            r_ctx->infer_request_cache[key] = infer_request;
-            r_ctx->decoder_cache[key] = ggml_decoder;
+            entry->ptr = ggml_decoder;
 
             std::vector<std::string> ov_input_names;
             std::vector<std::string> ov_output_names;
@@ -210,8 +227,13 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
             for (const auto & ov_output : model->get_results()) {
                 ov_output_names.push_back(ov_output->get_friendly_name());
             }
-            r_ctx->ov_input_names_cache[key] = std::move(ov_input_names);
-            r_ctx->ov_output_names_cache[key] = std::move(ov_output_names);
+
+            {
+                std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+                r_ctx->infer_request_cache[key] = infer_request;
+                r_ctx->ov_input_names_cache[key] = std::move(ov_input_names);
+                r_ctx->ov_output_names_cache[key] = std::move(ov_output_names);
+            }
 
             if (stateful) {
                 const auto * inp_pos = get_inp_pos_tensor(cgraph);
@@ -224,8 +246,13 @@ enum ggml_status ov_graph_compute_dynamic(ggml_cgraph * cgraph, std::shared_ptr<
             }
         }
 
-        auto ov_input_names = r_ctx->ov_input_names_cache[key];
-        auto ov_output_names = r_ctx->ov_output_names_cache[key];
+        std::vector<std::string> ov_input_names;
+        std::vector<std::string> ov_output_names;
+        {
+            std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+            ov_input_names = r_ctx->ov_input_names_cache[key];
+            ov_output_names = r_ctx->ov_output_names_cache[key];
+        }
 
         for (size_t i = 0; i < ov_input_names.size(); i++) {
             auto param_name = ov_input_names[i];
@@ -306,12 +333,26 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
     int64_t compile_end_time;
     int64_t infer_end_time;
 
-    auto it = r_ctx->decoder_cache.find(key);
-
-    cache_hit = it != r_ctx->decoder_cache.end();
+    std::shared_ptr<decoder_runtime_ctx> entry;
     ModelParams old_m_params;
+
+    {
+        std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+        auto it = r_ctx->decoder_cache.find(key);
+        cache_hit = it != r_ctx->decoder_cache.end();
+        if (cache_hit) {
+            entry = it->second;
+        } else {
+            auto mutex = std::make_shared<std::mutex>();
+            entry = std::make_shared<decoder_runtime_ctx>(mutex);
+            r_ctx->decoder_cache[key] = entry;
+        }
+    }
+
+    std::lock_guard<std::mutex> lock(*(entry->mutex));
+
     if (cache_hit) {
-        ggml_decoder = it->second;
+        ggml_decoder = entry->ptr;
         old_m_params = ggml_decoder->get_model_params();
         cache_hit = old_m_params.can_reuse_statically(m_params);
     }
@@ -325,14 +366,21 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
             ggml_decoder->update_io(cgraph);
         }
         ggml_decoder->add_extra_inputs();
-        infer_request = is_prefill ? r_ctx->infer_request_cache_prefill.at(key) : r_ctx->infer_request_cache.at(key);
+        {
+            std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+            infer_request =
+                is_prefill ? r_ctx->infer_request_cache_prefill.at(key) : r_ctx->infer_request_cache.at(key);
+        }
 
         decoder_end_time = ggml_time_us();
         conversion_end_time = decoder_end_time;
         compile_end_time = decoder_end_time;
     } else {
-        r_ctx->infer_request_cache.erase(key);
-        r_ctx->infer_request_cache_prefill.erase(key);
+        {
+            std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+            r_ctx->infer_request_cache.erase(key);
+            r_ctx->infer_request_cache_prefill.erase(key);
+        }
 
         std::shared_ptr<ov::Model> model;
         auto model_weights = GgmlOvDecoder::create_weight_nodes(cgraph);
@@ -372,16 +420,14 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
             compiled_model_decode = core.compile_model(model_decode, device, config);
         }
 
-        r_ctx->infer_request_cache_prefill[key] =
-            std::make_shared<ov::InferRequest>(compiled_model_prefill.create_infer_request());
-        r_ctx->infer_request_cache[key] =
-            std::make_shared<ov::InferRequest>(compiled_model_decode.create_infer_request());
+        auto infer_request_prefill = std::make_shared<ov::InferRequest>(compiled_model_prefill.create_infer_request());
+        auto infer_request_decode = std::make_shared<ov::InferRequest>(compiled_model_decode.create_infer_request());
         compile_end_time = ggml_time_us();
 
         model = is_prefill ? model_prefill : model_decode;
         ggml_decoder = is_prefill ? ggml_decoder_prefill : ggml_decoder_decode;
-        infer_request = is_prefill ? r_ctx->infer_request_cache_prefill[key] : r_ctx->infer_request_cache[key];
-        r_ctx->decoder_cache[key] = ggml_decoder;
+        infer_request = is_prefill ? infer_request_prefill : infer_request_decode;
+        entry->ptr = ggml_decoder;
 
         std::vector<std::string> ov_input_names;
         std::vector<std::string> ov_output_names;
@@ -391,18 +437,29 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
         for (const auto & ov_output : model->get_results()) {
             ov_output_names.push_back(ov_output->get_friendly_name());
         }
-        r_ctx->ov_input_names_cache[key] = std::move(ov_input_names);
-        r_ctx->ov_output_names_cache[key] = std::move(ov_output_names);
+
+        {
+            std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+            r_ctx->infer_request_cache_prefill[key] = infer_request_prefill;
+            r_ctx->infer_request_cache[key] = infer_request_decode;
+            r_ctx->ov_input_names_cache[key] = std::move(ov_input_names);
+            r_ctx->ov_output_names_cache[key] = std::move(ov_output_names);
+        }
     }
 
-    auto ov_input_names = r_ctx->ov_input_names_cache[key];
-    auto ov_output_names = r_ctx->ov_output_names_cache[key];
+    std::vector<std::string> ov_input_names_local;
+    std::vector<std::string> ov_output_names_local;
+    {
+        std::lock_guard<std::mutex> map_lock(r_ctx->ctx_mutex);
+        ov_input_names_local = r_ctx->ov_input_names_cache[key];
+        ov_output_names_local = r_ctx->ov_output_names_cache[key];
+    }
 
     if (is_prefill) {
         auto inp_len = inp_pos->ne[0];
         for (int chunk_index = 0; chunk_index * prefill_chunk_size < inp_len; chunk_index++) {
-            for (size_t i = 0; i < ov_input_names.size(); i++) {
-                auto param_name = ov_input_names[i];
+            for (size_t i = 0; i < ov_input_names_local.size(); i++) {
+                auto param_name = ov_input_names_local[i];
                 auto input_tensor = get_ov_input_tensor_static_prefill(ggml_decoder, param_name, chunk_index);
                 infer_request->set_input_tensor(i, input_tensor);
 
@@ -412,8 +469,8 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
                 }
             }
 
-            for (size_t i = 0; i < ov_output_names.size(); i++) {
-                auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names[i]);
+            for (size_t i = 0; i < ov_output_names_local.size(); i++) {
+                auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names_local[i]);
                 auto output_tensor = create_ov_output_tensor(ggml_decoder, infer_request, i, ggml_tensor);
                 infer_request->set_output_tensor(i, output_tensor);
             }
@@ -421,16 +478,16 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
             infer_request->infer();
 
             if (getenv("GGML_OPENVINO_DEBUG_OUTPUT")) {
-                for (size_t i = 0; i < ov_output_names.size(); i++) {
+                for (size_t i = 0; i < ov_output_names_local.size(); i++) {
                     const auto output_tensor = infer_request->get_output_tensor(i);
-                    print_output_tensor_info(ov_output_names[i], output_tensor, output_tensor.data());
+                    print_output_tensor_info(ov_output_names_local[i], output_tensor, output_tensor.data());
                 }
             }
         }
         infer_end_time = ggml_time_us();
     } else {
-        for (size_t i = 0; i < ov_input_names.size(); i++) {
-            auto param_name = ov_input_names[i];
+        for (size_t i = 0; i < ov_input_names_local.size(); i++) {
+            auto param_name = ov_input_names_local[i];
             auto input_tensor = get_ov_input_tensor_static_decode(ggml_decoder, param_name);
             infer_request->set_input_tensor(i, input_tensor);
 
@@ -440,8 +497,8 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
             }
         }
 
-        for (size_t i = 0; i < ov_output_names.size(); i++) {
-            auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names[i]);
+        for (size_t i = 0; i < ov_output_names_local.size(); i++) {
+            auto * ggml_tensor = ggml_decoder->get_model_outputs().at(ov_output_names_local[i]);
             auto output_tensor = create_ov_output_tensor(ggml_decoder, infer_request, i, ggml_tensor);
             infer_request->set_output_tensor(i, output_tensor);
         }
@@ -450,9 +507,9 @@ enum ggml_status ov_graph_compute_static(ggml_cgraph * cgraph, std::shared_ptr<o
         infer_end_time = ggml_time_us();
 
         if (getenv("GGML_OPENVINO_DEBUG_OUTPUT")) {
-            for (size_t i = 0; i < ov_output_names.size(); i++) {
+            for (size_t i = 0; i < ov_output_names_local.size(); i++) {
                 const auto output_tensor = infer_request->get_output_tensor(i);
-                print_output_tensor_info(ov_output_names[i], output_tensor, output_tensor.data());
+                print_output_tensor_info(ov_output_names_local[i], output_tensor, output_tensor.data());
             }
         }
     }
diff --git a/ggml/src/ggml-openvino/utils.h b/ggml/src/ggml-openvino/utils.h
index 656573d13..2c72e33c3 100644
--- a/ggml/src/ggml-openvino/utils.h
+++ b/ggml/src/ggml-openvino/utils.h
@@ -3,12 +3,15 @@
 #include "ggml-impl.h"
 
 #include <algorithm>
+#include <atomic>
 #include <cstddef>
 #include <memory>
+#include <mutex>
 #include <openvino/runtime/core.hpp>
 #include <openvino/runtime/infer_request.hpp>
 #include <string>
 #include <unordered_map>
+#include <utility>
 #include <vector>
 
 struct graph_key {
@@ -40,11 +43,17 @@ struct graph_key_hash {
     }
 };
 
+struct decoder_runtime_ctx {
+    decoder_runtime_ctx(std::shared_ptr<std::mutex> mutex) : mutex(std::move(mutex)) {}
+    std::shared_ptr<std::mutex> mutex;
+    std::shared_ptr<GgmlOvDecoder> ptr;
+};
+
 struct ov_runtime_context {
-    std::mutex ov_compute_mutex;
+    mutable std::mutex ctx_mutex;
     std::string device;
     bool stateful;
-    std::unordered_map<graph_key, std::shared_ptr<GgmlOvDecoder>, graph_key_hash> decoder_cache;
+    std::unordered_map<graph_key, std::shared_ptr<decoder_runtime_ctx>, graph_key_hash> decoder_cache;
     std::unordered_map<graph_key, std::shared_ptr<ov::InferRequest>, graph_key_hash> infer_request_cache;
     std::unordered_map<graph_key, std::shared_ptr<ov::InferRequest>, graph_key_hash> infer_request_cache_prefill;
     std::unordered_map<graph_key, std::vector<std::string>, graph_key_hash> ov_input_names_cache;
@@ -53,11 +62,22 @@ struct ov_runtime_context {
     //      Simultanous stateful inference request support to be added.
     size_t stateful_kv_size;
     std::map<std::string, std::string> kv_state_input_name_map;
+    std::atomic<int> backend_count;
 
     ov_runtime_context() :
         device("CPU"),
         stateful(false),
-        stateful_kv_size(0) {}
+        stateful_kv_size(0),
+        backend_count(0) {}
+
+    void clear_caches() {
+        std::lock_guard<std::mutex> lock(ctx_mutex);
+        decoder_cache.clear();
+        infer_request_cache.clear();
+        infer_request_cache_prefill.clear();
+        ov_input_names_cache.clear();
+        ov_output_names_cache.clear();
+    }
 };
 
 enum ggml_status ov_graph_compute(struct ggml_cgraph * cgraph, ggml_backend_t backend);
diff --git a/ggml/src/ggml-opt.cpp b/ggml/src/ggml-opt.cpp
index e078ad14a..53903defa 100644
--- a/ggml/src/ggml-opt.cpp
+++ b/ggml/src/ggml-opt.cpp
@@ -589,6 +589,7 @@ void ggml_opt_free(ggml_opt_context_t opt_ctx) {
     ggml_backend_buffer_free(opt_ctx->buf_cpu);
     ggml_free(opt_ctx->ctx_static);
     ggml_free(opt_ctx->ctx_cpu);
+    ggml_free(opt_ctx->ctx_copy);
     delete opt_ctx;
 }
 
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c
index ade0568c8..d21fa43a5 100644
--- a/ggml/src/ggml-quants.c
+++ b/ggml/src/ggml-quants.c
@@ -32,6 +32,41 @@ static inline int best_index_int8(int n, const int8_t * val, float x) {
     return x - val[mu-1] < val[mu] - x ? mu-1 : mu;
 }
 
+// reference implementation for deterministic creation of model files
+void quantize_row_q1_0_ref(const float * GGML_RESTRICT x, block_q1_0 * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK1_0;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        float sum_abs = 0.0f;
+        for (int j = 0; j < qk; j++) {
+            sum_abs += fabsf(x[i*qk + j]);
+        }
+        const float d = sum_abs / qk;
+
+        y[i].d = GGML_FP32_TO_FP16(d);
+
+        // Clear all bits first
+        for (int j = 0; j < qk / 8; ++j) {
+            y[i].qs[j] = 0;
+        }
+
+        // Just store sign of each weight directly (no normalization)
+        for (int j = 0; j < qk; ++j) {
+            const int bit_index = j;
+            const int byte_index = bit_index / 8;
+            const int bit_offset = bit_index % 8;
+
+            if (x[i*qk + j] >= 0.0f) {
+                y[i].qs[byte_index] |= (1 << bit_offset);
+            }
+        }
+    }
+}
+
 // reference implementation for deterministic creation of model files
 void quantize_row_q4_0_ref(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k) {
     static const int qk = QK4_0;
@@ -339,6 +374,26 @@ void quantize_row_nvfp4_ref(const float * GGML_RESTRICT x, block_nvfp4 * GGML_RE
     }
 }
 
+void dequantize_row_q1_0(const block_q1_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
+    static const int qk = QK1_0;
+
+    assert(k % qk == 0);
+
+    const int nb = k / qk;
+
+    for (int i = 0; i < nb; i++) {
+        const float d = GGML_FP16_TO_FP32(x[i].d);
+        const float neg_d = -d;
+
+        for (int j = 0; j < qk; ++j) {
+            const int byte_index = j / 8;
+            const int bit_offset = j % 8;
+            const uint8_t bit = (x[i].qs[byte_index] >> bit_offset) & 1;
+            y[i*qk + j] = bit ? d : neg_d;
+        }
+    }
+}
+
 void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k) {
     static const int qk = QK4_0;
 
@@ -1978,6 +2033,22 @@ static void quantize_row_q4_0_impl(const float * GGML_RESTRICT x, block_q4_0 * G
     }
 }
 
+size_t quantize_q1_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
+    if (!quant_weights) {
+        quantize_row_q1_0_ref(src, dst, (int64_t)nrow*n_per_row);
+        return nrow * ggml_row_size(GGML_TYPE_Q1_0, n_per_row);
+    }
+    size_t row_size = ggml_row_size(GGML_TYPE_Q1_0, n_per_row);
+    char * qrow = (char *)dst;
+    for (int64_t row = 0; row < nrow; ++row) {
+        quantize_row_q1_0_ref(src, (block_q1_0*)qrow, n_per_row);
+        src += n_per_row;
+        qrow += row_size;
+    }
+    return nrow * row_size;
+}
+
+
 size_t quantize_q4_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
     if (!quant_weights) {
         quantize_row_q4_0_ref(src, dst, (int64_t)nrow*n_per_row);
@@ -5286,6 +5357,10 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
                     }
                 }
             } break;
+        case GGML_TYPE_Q1_0:
+            {
+                VALIDATE_ROW_DATA_D_F16_IMPL(block_q1_0, data, nb);
+            } break;
         case GGML_TYPE_Q4_0:
             {
                 VALIDATE_ROW_DATA_D_F16_IMPL(block_q4_0, data, nb);
diff --git a/ggml/src/ggml-quants.h b/ggml/src/ggml-quants.h
index 457c7b66e..5cc43750f 100644
--- a/ggml/src/ggml-quants.h
+++ b/ggml/src/ggml-quants.h
@@ -14,6 +14,7 @@ extern "C" {
 // NOTE: these functions are defined as GGML_API because they used by the CPU backend
 
 // Quantization
+GGML_API void quantize_row_q1_0_ref(const float * GGML_RESTRICT x, block_q1_0 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q4_0_ref(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q4_1_ref(const float * GGML_RESTRICT x, block_q4_1 * GGML_RESTRICT y, int64_t k);
 GGML_API void quantize_row_q5_0_ref(const float * GGML_RESTRICT x, block_q5_0 * GGML_RESTRICT y, int64_t k);
@@ -41,6 +42,7 @@ GGML_API void quantize_row_iq3_s_ref  (const float * GGML_RESTRICT x, block_iq3_
 GGML_API void quantize_row_iq2_s_ref  (const float * GGML_RESTRICT x, block_iq2_s   * GGML_RESTRICT y, int64_t k);
 
 // Dequantization
+GGML_API void dequantize_row_q1_0(const block_q1_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q4_0(const block_q4_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q4_1(const block_q4_1 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
 GGML_API void dequantize_row_q5_0(const block_q5_0 * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
@@ -90,6 +92,7 @@ GGML_API size_t quantize_q3_K(const float * GGML_RESTRICT src, void * GGML_RESTR
 GGML_API size_t quantize_q4_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q5_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q6_K(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
+GGML_API size_t quantize_q1_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q4_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q4_1(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
 GGML_API size_t quantize_q5_0(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
diff --git a/ggml/src/ggml-rpc/CMakeLists.txt b/ggml/src/ggml-rpc/CMakeLists.txt
index f5acb8ec2..40e11fead 100644
--- a/ggml/src/ggml-rpc/CMakeLists.txt
+++ b/ggml/src/ggml-rpc/CMakeLists.txt
@@ -2,8 +2,32 @@ message(STATUS "Using RPC backend")
 
 ggml_add_backend_library(ggml-rpc
                          ggml-rpc.cpp
+                         transport.cpp
                         )
 
 if (WIN32)
     target_link_libraries(ggml-rpc PRIVATE ws2_32)
 endif()
+
+# RDMA auto-detection (Linux only, requires libibverbs)
+if (NOT WIN32 AND NOT APPLE)
+    find_library(IBVERBS_LIB ibverbs)
+    if (IBVERBS_LIB)
+        option(GGML_RPC_RDMA "ggml: enable RDMA transport for RPC" ON)
+    else()
+        option(GGML_RPC_RDMA "ggml: enable RDMA transport for RPC" OFF)
+    endif()
+else()
+    set(GGML_RPC_RDMA OFF CACHE BOOL "RDMA not available on this platform" FORCE)
+endif()
+
+if (GGML_RPC_RDMA)
+    if (NOT IBVERBS_LIB)
+        find_library(IBVERBS_LIB ibverbs REQUIRED)
+    endif()
+    target_compile_definitions(ggml-rpc PRIVATE GGML_RPC_RDMA)
+    target_link_libraries(ggml-rpc PRIVATE ${IBVERBS_LIB})
+    message(STATUS "  RDMA transport enabled (auto-detected)")
+else()
+    message(STATUS "  RDMA transport disabled")
+endif()
diff --git a/ggml/src/ggml-rpc/ggml-rpc.cpp b/ggml/src/ggml-rpc/ggml-rpc.cpp
index 4e2f1ab0f..1cb8f563d 100644
--- a/ggml/src/ggml-rpc/ggml-rpc.cpp
+++ b/ggml/src/ggml-rpc/ggml-rpc.cpp
@@ -2,30 +2,17 @@
 #include "ggml-impl.h"
 #include "ggml-backend-impl.h"
 #include "ggml-cpp.h"
+#include "transport.h"
 
+#include <array>
 #include <cinttypes>
+#include <optional>
 #include <string>
 #include <vector>
 #include <memory>
 #include <mutex>
 #include <unordered_map>
 #include <unordered_set>
-#ifdef _WIN32
-#  define WIN32_LEAN_AND_MEAN
-#  ifndef NOMINMAX
-#     define NOMINMAX
-#  endif
-#  include <windows.h>
-#  include <winsock2.h>
-#else
-#  include <arpa/inet.h>
-#  include <sys/socket.h>
-#  include <sys/types.h>
-#  include <netinet/in.h>
-#  include <netinet/tcp.h>
-#  include <netdb.h>
-#  include <unistd.h>
-#endif
 #include <cstring>
 #include <fstream>
 #include <filesystem>
@@ -39,29 +26,6 @@ static const char * RPC_DEBUG = std::getenv("GGML_RPC_DEBUG");
 
 namespace fs = std::filesystem;
 
-static constexpr size_t MAX_CHUNK_SIZE = 1024ull * 1024ull * 1024ull; // 1 GiB
-
-#ifdef _WIN32
-typedef SOCKET sockfd_t;
-using ssize_t = __int64;
-#else
-typedef int sockfd_t;
-#endif
-
-// cross-platform socket
-struct socket_t {
-    sockfd_t fd;
-    socket_t(sockfd_t fd) : fd(fd) {}
-    ~socket_t() {
-        LOG_DBG("[%s] closing socket %d\n", __func__, this->fd);
-#ifdef _WIN32
-        closesocket(this->fd);
-#else
-        close(this->fd);
-#endif
-    }
-};
-
 // macro for nicer error messages on server crash
 #define RPC_STATUS_ASSERT(x) if (!(x)) GGML_ABORT("Remote RPC server crashed or returned malformed response")
 
@@ -115,10 +79,16 @@ static_assert(RPC_CMD_HELLO == 14, "RPC_CMD_HELLO must be always 14");
 // Try RPC_CMD_SET_TENSOR_HASH first when data size is larger than this threshold
 const size_t HASH_THRESHOLD = 10 * 1024 * 1024;
 
+struct rpc_msg_hello_req {
+    uint8_t conn_caps[RPC_CONN_CAPS_SIZE];
+};
+
 struct rpc_msg_hello_rsp {
     uint8_t major;
     uint8_t minor;
     uint8_t patch;
+    uint8_t padding;
+    uint8_t conn_caps[RPC_CONN_CAPS_SIZE];
 };
 
 struct rpc_msg_device_count_rsp {
@@ -237,35 +207,11 @@ struct ggml_backend_rpc_buffer_type_context {
     size_t      max_size;
 };
 
-struct graph_cache {
-
-    bool is_cached(const ggml_cgraph * cgraph) {
-        if ((int)last_graph.size() != cgraph->n_nodes) {
-            return false;
-        }
-        for (int i = 0; i < cgraph->n_nodes; i++) {
-            if (memcmp(&last_graph[i], cgraph->nodes[i], sizeof(ggml_tensor)) != 0) {
-                return false;
-            }
-        }
-        return true;
-    }
-
-    void add(const ggml_cgraph * cgraph) {
-        last_graph.resize(cgraph->n_nodes);
-        for (int i = 0; i < cgraph->n_nodes; i++) {
-            memcpy(&last_graph[i], cgraph->nodes[i], sizeof(ggml_tensor));
-        }
-    }
-
-    std::vector<ggml_tensor> last_graph;
-};
-
 struct ggml_backend_rpc_context {
     std::string endpoint;
     uint32_t    device;
     std::string name;
-    graph_cache gc;
+    uint64_t    last_graph_uid;
 };
 
 struct ggml_backend_rpc_buffer_context {
@@ -288,153 +234,27 @@ static uint64_t fnv_hash(const uint8_t * data, size_t len) {
     return hash;
 }
 
-static std::shared_ptr<socket_t> make_socket(sockfd_t fd) {
-#ifdef _WIN32
-    if (fd == INVALID_SOCKET) {
-        return nullptr;
-    }
-#else
-    if (fd < 0) {
-        return nullptr;
-    }
-#endif
-    return std::make_shared<socket_t>(fd);
-}
-
-static bool set_no_delay(sockfd_t sockfd) {
-    int flag = 1;
-    // set TCP_NODELAY to disable Nagle's algorithm
-    int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
-    return ret == 0;
-}
-
-static bool set_reuse_addr(sockfd_t sockfd) {
-    int flag = 1;
-    int ret = setsockopt(sockfd, SOL_SOCKET, SO_REUSEADDR, (char *)&flag, sizeof(int));
-    return ret == 0;
-}
-
-static std::shared_ptr<socket_t> socket_connect(const char * host, int port) {
-    struct sockaddr_in addr;
-    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
-    auto sock_ptr = make_socket(sockfd);
-    if (sock_ptr == nullptr) {
-        return nullptr;
-    }
-    if (!set_no_delay(sockfd)) {
-        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
-        return nullptr;
-    }
-    addr.sin_family = AF_INET;
-    addr.sin_port = htons(port);
-    struct hostent * server = gethostbyname(host);
-    if (server == NULL) {
-        GGML_LOG_ERROR("Cannot resolve host '%s'\n", host);
-        return nullptr;
-    }
-    memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
-    if (connect(sock_ptr->fd, (struct sockaddr *)&addr, sizeof(addr)) < 0) {
-        return nullptr;
-    }
-    return sock_ptr;
-}
-
-static std::shared_ptr<socket_t> socket_accept(sockfd_t srv_sockfd) {
-    auto client_socket_fd = accept(srv_sockfd, NULL, NULL);
-    auto client_socket = make_socket(client_socket_fd);
-    if (client_socket == nullptr) {
-        return nullptr;
-    }
-    if (!set_no_delay(client_socket_fd)) {
-        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
-        return nullptr;
-    }
-    return client_socket;
-}
-
-static std::shared_ptr<socket_t> create_server_socket(const char * host, int port) {
-    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
-    auto sock = make_socket(sockfd);
-    if (sock == nullptr) {
-        return nullptr;
-    }
-    if (!set_reuse_addr(sockfd)) {
-        GGML_LOG_ERROR("Failed to set SO_REUSEADDR\n");
-        return nullptr;
-    }
-    if (inet_addr(host) == INADDR_NONE) {
-        GGML_LOG_ERROR("Invalid host address: %s\n", host);
-        return nullptr;
-    }
-    struct sockaddr_in serv_addr;
-    serv_addr.sin_family = AF_INET;
-    serv_addr.sin_addr.s_addr = inet_addr(host);
-    serv_addr.sin_port = htons(port);
-
-    if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
-        return nullptr;
-    }
-    if (listen(sockfd, 1) < 0) {
-        return nullptr;
-    }
-    return sock;
-}
-
-static bool send_data(sockfd_t sockfd, const void * data, size_t size) {
-    size_t bytes_sent = 0;
-    while (bytes_sent < size) {
-        size_t size_to_send = std::min(size - bytes_sent, MAX_CHUNK_SIZE);
-        ssize_t n = send(sockfd, (const char *)data + bytes_sent, size_to_send, 0);
-        if (n < 0) {
-            GGML_LOG_ERROR("send failed (bytes_sent=%zu, size_to_send=%zu)\n",
-                           bytes_sent, size_to_send);
-            return false;
-        }
-        bytes_sent += (size_t)n;
-    }
-    return true;
-}
-
-static bool recv_data(sockfd_t sockfd, void * data, size_t size) {
-    size_t bytes_recv = 0;
-    while (bytes_recv < size) {
-        size_t size_to_recv = std::min(size - bytes_recv, MAX_CHUNK_SIZE);
-        ssize_t n = recv(sockfd, (char *)data + bytes_recv, size_to_recv, 0);
-        if (n < 0) {
-            GGML_LOG_ERROR("recv failed (bytes_recv=%zu, size_to_recv=%zu)\n",
-                           bytes_recv, size_to_recv);
-            return false;
-        }
-        if (n == 0) {
-            LOG_DBG("recv returned 0 (peer closed?)\n");
-            return false;
-        }
-        bytes_recv += (size_t)n;
-    }
-    return true;
-}
-
-static bool send_msg(sockfd_t sockfd, const void * msg, size_t msg_size) {
-    if (!send_data(sockfd, &msg_size, sizeof(msg_size))) {
+static bool send_msg(socket_ptr sock, const void * msg, size_t msg_size) {
+    if (!sock->send_data(&msg_size, sizeof(msg_size))) {
         return false;
     }
-    return send_data(sockfd, msg, msg_size);
+    return sock->send_data(msg, msg_size);
 }
 
-static bool recv_msg(sockfd_t sockfd, void * msg, size_t msg_size) {
+static bool recv_msg(socket_ptr sock, void * msg, size_t msg_size) {
     uint64_t size;
-    if (!recv_data(sockfd, &size, sizeof(size))) {
+    if (!sock->recv_data(&size, sizeof(size))) {
         return false;
     }
     if (size != msg_size) {
         return false;
     }
-    return recv_data(sockfd, msg, msg_size);
+    return sock->recv_data(msg, msg_size);
 }
 
-static bool recv_msg(sockfd_t sockfd, std::vector<uint8_t> & input) {
+static bool recv_msg(socket_ptr sock, std::vector<uint8_t> & input) {
     uint64_t size;
-    if (!recv_data(sockfd, &size, sizeof(size))) {
+    if (!sock->recv_data(&size, sizeof(size))) {
         return false;
     }
     try {
@@ -443,7 +263,7 @@ static bool recv_msg(sockfd_t sockfd, std::vector<uint8_t> & input) {
         GGML_LOG_ERROR("Failed to allocate input buffer of size %" PRIu64 "\n", size);
         return false;
     }
-    return recv_data(sockfd, input.data(), size);
+    return sock->recv_data(input.data(), size);
 }
 
 static bool parse_endpoint(const std::string & endpoint, std::string & host, int & port) {
@@ -452,21 +272,25 @@ static bool parse_endpoint(const std::string & endpoint, std::string & host, int
         return false;
     }
     host = endpoint.substr(0, pos);
-    port = std::stoi(endpoint.substr(pos + 1));
+    try {
+        port = std::stoi(endpoint.substr(pos + 1));
+    } catch (...) {
+        return false;
+    }
     return true;
 }
 
 // RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
 // No response
-static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const void * input, size_t input_size) {
+static bool send_rpc_cmd(socket_ptr sock, enum rpc_cmd cmd, const void * input, size_t input_size) {
     uint8_t cmd_byte = cmd;
-    if (!send_data(sock->fd, &cmd_byte, sizeof(cmd_byte))) {
+    if (!sock->send_data(&cmd_byte, sizeof(cmd_byte))) {
         return false;
     }
-    if (!send_data(sock->fd, &input_size, sizeof(input_size))) {
+    if (!sock->send_data(&input_size, sizeof(input_size))) {
         return false;
     }
-    if (!send_data(sock->fd, input, input_size)) {
+    if (!sock->send_data(input, input_size)) {
         return false;
     }
     return true;
@@ -474,20 +298,18 @@ static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cm
 
 // RPC request : | rpc_cmd (1 byte) | request_size (8 bytes) | request_data (request_size bytes) |
 // RPC response: | response_size (8 bytes) | response_data (response_size bytes) |
-static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cmd, const void * input, size_t input_size, void * output, size_t output_size) {
+static bool send_rpc_cmd(socket_ptr sock, enum rpc_cmd cmd, const void * input, size_t input_size, void * output, size_t output_size) {
     if (!send_rpc_cmd(sock, cmd, input, input_size)) {
         return false;
     }
-    // TODO: currently the output_size is always known, do we need support for commands with variable output size?
-    // even if we do, we can skip sending output_size from the server for commands with known output size
     uint64_t out_size;
-    if (!recv_data(sock->fd, &out_size, sizeof(out_size))) {
+    if (!sock->recv_data(&out_size, sizeof(out_size))) {
         return false;
     }
     if (out_size != output_size) {
         return false;
     }
-    if (!recv_data(sock->fd, output, output_size)) {
+    if (!sock->recv_data(output, output_size)) {
         return false;
     }
     return true;
@@ -495,17 +317,25 @@ static bool send_rpc_cmd(const std::shared_ptr<socket_t> & sock, enum rpc_cmd cm
 
 // RPC client-side implementation
 
-static bool check_server_version(const std::shared_ptr<socket_t> & sock) {
-    rpc_msg_hello_rsp response;
-    bool status = send_rpc_cmd(sock, RPC_CMD_HELLO, nullptr, 0, &response, sizeof(response));
+// Performs HELLO handshake with transport auto-negotiation.
+// Advertises local capabilities via conn_caps; if the server responds with
+// matching capabilities, the socket is upgraded transparently.
+static bool negotiate_hello(const std::shared_ptr<socket_t> & sock) {
+    rpc_msg_hello_req request = {};
+    rpc_msg_hello_rsp response = {};
+
+    sock->get_caps(request.conn_caps);
+
+    bool status = send_rpc_cmd(sock, RPC_CMD_HELLO, &request, sizeof(request), &response, sizeof(response));
     RPC_STATUS_ASSERT(status);
+
     if (response.major != RPC_PROTO_MAJOR_VERSION || response.minor > RPC_PROTO_MINOR_VERSION) {
-        GGML_LOG_ERROR("RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
+        GGML_LOG_ERROR("RPC server version mismatch: %d.%d.%d\n",
+                       response.major, response.minor, response.patch);
         return false;
     }
-    if (response.minor != RPC_PROTO_MINOR_VERSION || response.patch != RPC_PROTO_PATCH_VERSION) {
-        GGML_LOG_INFO("WARNING: RPC server version mismatch: %d.%d.%d\n", response.major, response.minor, response.patch);
-    }
+
+    sock->update_caps(response.conn_caps);
     return true;
 }
 
@@ -513,7 +343,6 @@ static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
     static std::mutex mutex;
     std::lock_guard<std::mutex> lock(mutex);
     static std::unordered_map<std::string, std::weak_ptr<socket_t>> sockets;
-    static bool initialized = false;
 
     auto it = sockets.find(endpoint);
     if (it != sockets.end()) {
@@ -527,26 +356,18 @@ static std::shared_ptr<socket_t> get_socket(const std::string & endpoint) {
         GGML_LOG_ERROR("Failed to parse endpoint: %s\n", endpoint.c_str());
         return nullptr;
     }
-#ifdef _WIN32
-    if (!initialized) {
-        WSADATA wsaData;
-        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
-        if (res != 0) {
-            return nullptr;
-        }
-        initialized = true;
+
+    if (!rpc_transport_init()) {
+        return nullptr;
     }
-#else
-    GGML_UNUSED(initialized);
-#endif
-    auto sock = socket_connect(host.c_str(), port);
+    auto sock = socket_t::connect(host.c_str(), port);
     if (sock == nullptr) {
         return nullptr;
     }
-    if (!check_server_version(sock)) {
+    if (!negotiate_hello(sock)) {
         return nullptr;
     }
-    LOG_DBG("[%s] connected to %s, sockfd=%d\n", __func__, endpoint.c_str(), sock->fd);
+    LOG_DBG("[%s] connected to %s\n", __func__, endpoint.c_str());
     sockets[endpoint] = sock;
     return sock;
 }
@@ -706,6 +527,8 @@ static ggml_backend_buffer_i ggml_backend_rpc_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_rpc_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_rpc_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_rpc_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_rpc_buffer_clear,
     /* .reset           = */ NULL,
@@ -870,7 +693,7 @@ static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, g
     ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
 
     GGML_ASSERT(cgraph->n_nodes > 0);
-    bool reuse = rpc_ctx->gc.is_cached(cgraph);
+    bool reuse = cgraph->uid != 0 && rpc_ctx->last_graph_uid == cgraph->uid;
     if (reuse) {
         rpc_msg_graph_recompute_req request;
         request.device = rpc_ctx->device;
@@ -878,7 +701,7 @@ static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t backend, g
         bool status = send_rpc_cmd(sock, RPC_CMD_GRAPH_RECOMPUTE, &request, sizeof(request));
         RPC_STATUS_ASSERT(status);
     } else {
-        rpc_ctx->gc.add(cgraph);
+        rpc_ctx->last_graph_uid = cgraph->uid;
         std::vector<uint8_t> input;
         serialize_graph(rpc_ctx->device, cgraph, input);
         auto sock = get_socket(rpc_ctx->endpoint);
@@ -893,6 +716,8 @@ static ggml_backend_i ggml_backend_rpc_interface = {
     /* .free                    = */ ggml_backend_rpc_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ ggml_backend_rpc_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -942,10 +767,10 @@ ggml_backend_buffer_type_t ggml_backend_rpc_buffer_type(const char * endpoint, u
 ggml_backend_t ggml_backend_rpc_init(const char * endpoint, uint32_t device) {
     std::string dev_name = "RPC" + std::to_string(device) + "[" + std::string(endpoint) + "]";
     ggml_backend_rpc_context * ctx = new ggml_backend_rpc_context {
-        /* .endpoint = */ endpoint,
-        /* .device   = */ device,
-        /* .name     = */ dev_name,
-        /* .gc       = */ {},
+        /* .endpoint       = */ endpoint,
+        /* .device         = */ device,
+        /* .name           = */ dev_name,
+        /* .last_graph_uid = */ 0,
     };
     auto reg = ggml_backend_rpc_add_server(endpoint);
     ggml_backend_t backend = new ggml_backend {
@@ -1252,7 +1077,7 @@ bool rpc_server::set_tensor(const std::vector<uint8_t> & input) {
         fs::path cache_file = fs::path(cache_dir) / hash_str;
         std::ofstream ofs(cache_file, std::ios::binary);
         ofs.write((const char *)data, size);
-        GGML_LOG_INFO("[%s] saved to '%s'\n", __func__, cache_file.c_str());
+        GGML_LOG_INFO("[%s] saved to '%s'\n", __func__, cache_file.string().c_str());
     }
     ggml_backend_tensor_set(tensor, data, offset, size);
     return true;
@@ -1593,27 +1418,46 @@ rpc_server::~rpc_server() {
 }
 
 static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const char * cache_dir,
-                             sockfd_t sockfd) {
+                             socket_ptr sock) {
     rpc_server server(backends, cache_dir);
     uint8_t cmd;
-    if (!recv_data(sockfd, &cmd, 1)) {
+    if (!sock->recv_data(&cmd, 1)) {
         return;
     }
-    // the first command sent by the client must be HELLO
     if (cmd != RPC_CMD_HELLO) {
         GGML_LOG_ERROR("Expected HELLO command, update client\n");
         return;
     }
-    if (!recv_msg(sockfd, nullptr, 0)) {
+
+    // Read input_size and validate protocol version
+    uint64_t hello_input_size;
+    if (!sock->recv_data(&hello_input_size, sizeof(hello_input_size))) {
+        return;
+    }
+
+    if (hello_input_size != sizeof(rpc_msg_hello_req)) {
+        GGML_LOG_ERROR("HELLO request size mismatch (%zu vs %zu) — client needs upgrade to protocol v%d.x\n",
+                       (size_t)hello_input_size, sizeof(rpc_msg_hello_req), RPC_PROTO_MAJOR_VERSION);
         return;
     }
-    rpc_msg_hello_rsp response;
-    server.hello(response);
-    if (!send_msg(sockfd, &response, sizeof(response))) {
+
+    rpc_msg_hello_req req = {};
+    if (!sock->recv_data(&req, sizeof(req))) {
         return;
     }
+
+    rpc_msg_hello_rsp rsp = {};
+    server.hello(rsp);
+    // Advertise server transport capabilities based on client's caps
+    sock->get_caps(rsp.conn_caps);
+    if (!send_msg(sock, &rsp, sizeof(rsp))) {
+        return;
+    }
+
+    // Activate transport upgrade using client's caps
+    sock->update_caps(req.conn_caps);
     while (true) {
-        if (!recv_data(sockfd, &cmd, 1)) {
+        if (!sock->recv_data(&cmd, 1)) {
             break;
         }
         if (cmd >= RPC_CMD_COUNT) {
@@ -1627,115 +1471,115 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
                 return;
             }
             case RPC_CMD_DEVICE_COUNT: {
-                if (!recv_msg(sockfd, nullptr, 0)) {
+                if (!recv_msg(sock, nullptr, 0)) {
                     return;
                 }
                 rpc_msg_device_count_rsp response;
                 response.device_count = backends.size();
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_ALLOC_BUFFER: {
                 rpc_msg_alloc_buffer_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_alloc_buffer_rsp response;
                 if (!server.alloc_buffer(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_ALLOC_SIZE: {
                 rpc_msg_get_alloc_size_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_alloc_size_rsp response;
                 if (!server.get_alloc_size(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_ALIGNMENT: {
                 rpc_msg_get_alignment_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_alignment_rsp response;
                 if (!server.get_alignment(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_MAX_SIZE: {
                 rpc_msg_get_max_size_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_max_size_rsp response;
                 if (!server.get_max_size(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_BUFFER_GET_BASE: {
                 rpc_msg_buffer_get_base_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_buffer_get_base_rsp response;
                 if (!server.buffer_get_base(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_FREE_BUFFER: {
                 rpc_msg_free_buffer_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.free_buffer(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_BUFFER_CLEAR: {
                 rpc_msg_buffer_clear_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.buffer_clear(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_SET_TENSOR: {
                 std::vector<uint8_t> input;
-                if (!recv_msg(sockfd, input)) {
+                if (!recv_msg(sock, input)) {
                     return;
                 }
                 if (!server.set_tensor(input)) {
@@ -1745,62 +1589,62 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_SET_TENSOR_HASH: {
                 rpc_msg_set_tensor_hash_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_set_tensor_hash_rsp response;
                 if (!server.set_tensor_hash(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_INIT_TENSOR: {
                 rpc_msg_init_tensor_req request;
-                if (!recv_msg(sockfd, &request,sizeof(request))) {
+                if (!recv_msg(sock, &request,sizeof(request))) {
                     return;
                 }
                 if (!server.init_tensor(request)) {
                     return;
                 }
-                if (!send_msg(sockfd, nullptr, 0)) {
+                if (!send_msg(sock, nullptr, 0)) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GET_TENSOR: {
                 rpc_msg_get_tensor_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 std::vector<uint8_t> response;
                 if (!server.get_tensor(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, response.data(), response.size())) {
+                if (!send_msg(sock, response.data(), response.size())) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_COPY_TENSOR: {
                 rpc_msg_copy_tensor_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_copy_tensor_rsp response;
                 if (!server.copy_tensor(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
             }
             case RPC_CMD_GRAPH_COMPUTE: {
                 std::vector<uint8_t> input;
-                if (!recv_msg(sockfd, input)) {
+                if (!recv_msg(sock, input)) {
                     return;
                 }
                 if (!server.graph_compute(input)) {
@@ -1810,7 +1654,7 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_GRAPH_RECOMPUTE: {
                 rpc_msg_graph_recompute_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 if (!server.graph_recompute(request)) {
@@ -1820,14 +1664,14 @@ static void rpc_serve_client(const std::vector<ggml_backend_t> & backends, const
             }
             case RPC_CMD_GET_DEVICE_MEMORY: {
                 rpc_msg_get_device_memory_req request;
-                if (!recv_msg(sockfd, &request, sizeof(request))) {
+                if (!recv_msg(sock, &request, sizeof(request))) {
                     return;
                 }
                 rpc_msg_get_device_memory_rsp response;
                 if (!server.get_device_memory(request, response)) {
                     return;
                 }
-                if (!send_msg(sockfd, &response, sizeof(response))) {
+                if (!send_msg(sock, &response, sizeof(response))) {
                     return;
                 }
                 break;
@@ -1880,36 +1724,34 @@ void ggml_backend_rpc_start_server(const char * endpoint, const char * cache_dir
     if (!parse_endpoint(endpoint, host, port)) {
         return;
     }
-#ifdef _WIN32
-    {
-        WSADATA wsaData;
-        int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
-        if (res != 0) {
-            fprintf(stderr, "WSAStartup failed: %d\n", res);
-            return;
-        }
+
+#ifdef GGML_RPC_RDMA
+    printf("  transport      : TCP (RDMA auto-negotiate enabled)\n");
+#else
+    printf("  transport      : TCP\n");
+#endif // GGML_RPC_RDMA
+    if (!rpc_transport_init()) {
+        fprintf(stderr, "Failed to initialize RPC transport\n");
+        return;
     }
-#endif
-    auto server_socket = create_server_socket(host.c_str(), port);
+    auto server_socket = socket_t::create_server(host.c_str(), port);
     if (server_socket == nullptr) {
         fprintf(stderr, "Failed to create server socket\n");
         return;
     }
     while (true) {
-        auto client_socket = socket_accept(server_socket->fd);
+        auto client_socket = server_socket->accept();
         if (client_socket == nullptr) {
             fprintf(stderr, "Failed to accept client connection\n");
             return;
         }
         printf("Accepted client connection\n");
         fflush(stdout);
-        rpc_serve_client(backends, cache_dir, client_socket->fd);
+        rpc_serve_client(backends, cache_dir, client_socket);
         printf("Client connection closed\n");
         fflush(stdout);
     }
-#ifdef _WIN32
-    WSACleanup();
-#endif
+    rpc_transport_shutdown();
     for (auto backend : backends) {
         ggml_backend_free(backend);
     }
diff --git a/ggml/src/ggml-rpc/transport.cpp b/ggml/src/ggml-rpc/transport.cpp
new file mode 100644
index 000000000..a72815242
--- /dev/null
+++ b/ggml/src/ggml-rpc/transport.cpp
@@ -0,0 +1,683 @@
+#include "transport.h"
+#include "ggml-impl.h"
+
+#ifdef _WIN32
+#  define WIN32_LEAN_AND_MEAN
+#  ifndef NOMINMAX
+#     define NOMINMAX
+#  endif
+#  include <windows.h>
+#  include <winsock2.h>
+#else
+#  include <arpa/inet.h>
+#  include <sys/socket.h>
+#  include <sys/types.h>
+#  include <netinet/in.h>
+#  include <netinet/tcp.h>
+#  include <netdb.h>
+#  include <unistd.h>
+#endif
+#include <cstdlib>
+#include <mutex>
+#include <optional>
+
+#ifdef GGML_RPC_RDMA
+#  include <infiniband/verbs.h>
+#  include <time.h>
+#  ifndef _WIN32
+#    include <poll.h>
+#  endif
+#endif // GGML_RPC_RDMA
+
+#ifdef _WIN32
+typedef SOCKET sockfd_t;
+using ssize_t = __int64;
+#else
+typedef int sockfd_t;
+#endif
+
+static const char * RPC_DEBUG = std::getenv("GGML_RPC_DEBUG");
+
+#define LOG_DBG(...) \
+    do { if (RPC_DEBUG) GGML_LOG_DEBUG(__VA_ARGS__); } while (0)
+
+#ifdef GGML_RPC_RDMA
+static constexpr size_t RDMA_CHUNK    = 256 * 1024;   // 256 KiB per send/recv (fits default 8 MiB memlock)
+static constexpr int    RDMA_RX_DEPTH = 24;            // pre-posted recv ring: 24 × 256 KiB = 6 MiB
+static constexpr size_t RDMA_GID_SIZE = 16;            // RoCE GID / IB GID is always 16 bytes
+using rdma_gid_t = std::array<uint8_t, RDMA_GID_SIZE>;
+
+struct rdma_conn {
+    struct ibv_context * ctx = nullptr;
+    struct ibv_pd * pd  = nullptr;
+    struct ibv_cq * scq = nullptr;   // send completions
+    struct ibv_cq * rcq = nullptr;   // recv completions
+    struct ibv_qp * qp  = nullptr;
+
+    void          * tx_buf = nullptr;
+    struct ibv_mr * tx_mr  = nullptr;
+
+    void          * rx_buf = nullptr; // RDMA_RX_DEPTH × RDMA_CHUNK contiguous
+    struct ibv_mr * rx_mr  = nullptr;
+    int             rx_head = 0;
+
+    uint32_t        max_inline = 0;
+
+    uint8_t * rx_slot(int i) const {
+        return static_cast<uint8_t *>(rx_buf) + static_cast<size_t>(i) * RDMA_CHUNK;
+    }
+
+    bool post_rx(int i) {
+        struct ibv_sge sge = {};
+        sge.addr   = (uintptr_t)rx_slot(i);
+        sge.length = RDMA_CHUNK;
+        sge.lkey   = rx_mr->lkey;
+        struct ibv_recv_wr wr = {}, * bad = nullptr;
+        wr.wr_id   = (uint64_t)i;
+        wr.sg_list = &sge;
+        wr.num_sge = 1;
+        return ibv_post_recv(qp, &wr, &bad) == 0;
+    }
+
+    ~rdma_conn() {
+        if (tx_mr) ibv_dereg_mr(tx_mr);
+        if (rx_mr) ibv_dereg_mr(rx_mr);
+        free(tx_buf);
+        free(rx_buf);
+        if (qp)  ibv_destroy_qp(qp);
+        if (scq) ibv_destroy_cq(scq);
+        if (rcq) ibv_destroy_cq(rcq);
+        if (pd)  ibv_dealloc_pd(pd);
+        if (ctx) ibv_close_device(ctx);
+    }
+};
+
+// Local RDMA parameters captured during the probe phase and later consumed
+// by rdma_activate() after the remote side's caps arrive via HELLO.
+struct rdma_local_info {
+    uint32_t qpn     = 0;
+    uint32_t psn     = 0;
+    uint8_t  gid[RDMA_GID_SIZE] = {};
+    uint8_t  ib_port = 0;
+    int      gid_idx = 0;
+    enum ibv_mtu path_mtu = IBV_MTU_1024;
+};
+
+struct rdma_caps {
+    uint32_t qpn;
+    uint32_t psn;
+    uint8_t  gid[RDMA_GID_SIZE];
+};
+
+static_assert(sizeof(rdma_caps) == RPC_CONN_CAPS_SIZE, "rdma_caps must match conn_caps size");
+
+#endif // GGML_RPC_RDMA
+
+struct socket_t::impl {
+    impl(sockfd_t fd) : use_rdma(false), fd(fd) {}
+    ~impl();
+    bool send_data(const void * data, size_t size);
+    bool recv_data(void * data, size_t size);
+    void get_caps(uint8_t * local_caps);
+    void update_caps(const uint8_t * remote_caps);
+
+#ifdef GGML_RPC_RDMA
+    bool tcp_peer_closed();
+    std::optional<rdma_gid_t> rdma_build_target_gid();
+    bool rdma_probe();
+    bool rdma_activate(uint32_t remote_qpn, uint32_t remote_psn, const uint8_t * remote_gid);
+    bool rdma_poll(struct ibv_cq * cq, struct ibv_wc * wc);
+    bool rdma_send(const void * data, size_t size);
+    bool rdma_recv(void * data, size_t size);
+
+    std::unique_ptr<rdma_conn> rdma;
+    rdma_local_info            rdma_local = {};
+#endif // GGML_RPC_RDMA
+    bool     use_rdma;
+    sockfd_t fd;
+};
+
+socket_t::impl::~impl() {
+#ifdef GGML_RPC_RDMA
+    rdma.reset();
+#endif // GGML_RPC_RDMA
+    LOG_DBG("[%s] closing socket %d\n", __func__, this->fd);
+#ifdef _WIN32
+    if (fd != INVALID_SOCKET) closesocket(this->fd);
+#else
+    if (fd >= 0) close(this->fd);
+#endif
+}
+
+#ifdef GGML_RPC_RDMA
+
+bool socket_t::impl::tcp_peer_closed() {
+    if (fd < 0) return false;
+#ifndef _WIN32
+    struct pollfd pfd = { fd, POLLIN | POLLRDHUP, 0 };
+    int r = poll(&pfd, 1, 0);
+    return r > 0 && (pfd.revents & (POLLHUP | POLLERR | POLLRDHUP));
+#else
+    return false;
+#endif
+}
+
+// Build a RoCE GID-shaped 16-byte target from a TCP socket's local address.
+// Used to match the socket's local IP against the kernel's GID table so that
+// a single memcmp handles IPv4, IPv4-mapped IPv6, and native IPv6 uniformly:
+//   AF_INET                -> ::ffff:a.b.c.d  (bytes 10-11 = 0xff, last 4 = IPv4)
+//   AF_INET6 (IPv4-mapped) -> ::ffff:a.b.c.d  (already in GID shape)
+//   AF_INET6 (native v6)   -> the 16-byte IPv6 address as-is
+// Returns std::nullopt on unsupported family or getsockname failure.
+std::optional<rdma_gid_t> socket_t::impl::rdma_build_target_gid() {
+    sockaddr_storage addr = {};
+    socklen_t addr_len = sizeof(addr);
+    if (getsockname(fd, reinterpret_cast<sockaddr *>(&addr), &addr_len) != 0) {
+        return std::nullopt;
+    }
+    rdma_gid_t target = {};
+    if (addr.ss_family == AF_INET) {
+        const auto * a = reinterpret_cast<const sockaddr_in *>(&addr);
+        target[10] = 0xff;
+        target[11] = 0xff;
+        memcpy(&target[12], &a->sin_addr, 4);
+        return target;
+    }
+    if (addr.ss_family == AF_INET6) {
+        const auto * a = reinterpret_cast<const sockaddr_in6 *>(&addr);
+        memcpy(target.data(), &a->sin6_addr, RDMA_GID_SIZE);
+        return target;
+    }
+    return std::nullopt;
+}
+
+bool socket_t::impl::rdma_probe() {
+    const char * dev_env = std::getenv("GGML_RDMA_DEV");
+    const char * gid_env = std::getenv("GGML_RDMA_GID");
+
+    auto target_gid = rdma_build_target_gid();
+    if (!target_gid) {
+        return false;
+    }
+
+    const uint8_t ib_port = 1;
+    int num_devs = 0;
+    ibv_device ** devs = ibv_get_device_list(&num_devs);
+    if (!devs || num_devs == 0) return false;
+
+    ibv_context * ibctx = nullptr;
+    const char * matched_dev = nullptr;
+    int gid_idx = gid_env ? atoi(gid_env) : -1;
+    int gid_version = IBV_GID_TYPE_IB;  // 0 = unknown/IB
+
+    for (int d = 0; d < num_devs; d++) {
+        const char * dn = ibv_get_device_name(devs[d]);
+        if (dev_env && strcmp(dev_env, dn) != 0) continue;
+
+        ibv_context * ctx = ibv_open_device(devs[d]);
+        if (!ctx) continue;
+
+        ibv_port_attr pa;
+        if (ibv_query_port(ctx, ib_port, &pa) != 0) { ibv_close_device(ctx); continue; }
+
+        int found_gid = gid_idx;
+        int found_version = IBV_GID_TYPE_IB;
+        if (found_gid < 0) {
+            // Find a GID on this port whose bytes equal the local TCP address
+            // (IPv4 or IPv6). Prefer RoCE v2 (UDP/IP, L3-routable) over v1
+            // (raw Ethernet, same-L2 only) so silent hangs on L3-routed paths
+            // are avoided. ibv_query_gid_ex returns gid+type in one call.
+            int v2_idx = -1;
+            int v1_idx = -1;
+            for (int i = 0; i < pa.gid_tbl_len; i++) {
+                ibv_gid_entry entry = {};
+                if (ibv_query_gid_ex(ctx, ib_port, i, &entry, 0) != 0) continue;
+                if (memcmp(entry.gid.raw, target_gid->data(), RDMA_GID_SIZE) != 0) continue;
+                if (entry.gid_type == IBV_GID_TYPE_ROCE_V2 && v2_idx < 0) {
+                    v2_idx = i;
+                } else if (entry.gid_type == IBV_GID_TYPE_ROCE_V1 && v1_idx < 0) {
+                    v1_idx = i;
+                }
+            }
+            if (v2_idx >= 0) {
+                found_gid = v2_idx;
+                found_version = IBV_GID_TYPE_ROCE_V2;
+            } else if (v1_idx >= 0) {
+                found_gid = v1_idx;
+                found_version = IBV_GID_TYPE_ROCE_V1;
+            }
+        } else {
+            // Explicit GID index from GGML_RDMA_GID — fetch its type for logging.
+            ibv_gid_entry entry = {};
+            if (ibv_query_gid_ex(ctx, ib_port, found_gid, &entry, 0) == 0) {
+                found_version = entry.gid_type;
+            }
+        }
+        if (found_gid >= 0) {
+            ibctx = ctx;
+            gid_idx = found_gid;
+            gid_version = found_version;
+            matched_dev = dn;
+            rdma_local.path_mtu = pa.active_mtu;
+            break;
+        }
+        ibv_close_device(ctx);
+    }
+    ibv_free_device_list(devs);
+    if (!ibctx) return false;
+
+    rdma_local.ib_port = ib_port;
+    rdma_local.gid_idx = gid_idx;
+
+    rdma = std::make_unique<rdma_conn>();
+    rdma->ctx = ibctx;
+
+    rdma->pd = ibv_alloc_pd(ibctx);
+    if (!rdma->pd) return false;
+
+    rdma->scq = ibv_create_cq(ibctx, 16, nullptr, nullptr, 0);
+    rdma->rcq = ibv_create_cq(ibctx, RDMA_RX_DEPTH + 4, nullptr, nullptr, 0);
+    if (!rdma->scq || !rdma->rcq) return false;
+
+    ibv_qp_init_attr qia = {};
+    qia.send_cq = rdma->scq;
+    qia.recv_cq = rdma->rcq;
+    qia.qp_type = IBV_QPT_RC;
+    qia.cap.max_send_wr     = 4;
+    qia.cap.max_recv_wr     = RDMA_RX_DEPTH + 4;
+    qia.cap.max_send_sge    = 1;
+    qia.cap.max_recv_sge    = 1;
+    qia.cap.max_inline_data = 256;
+
+    rdma->qp = ibv_create_qp(rdma->pd, &qia);
+    if (!rdma->qp) return false;
+    rdma->max_inline = qia.cap.max_inline_data;
+
+    rdma->tx_buf = aligned_alloc(4096, RDMA_CHUNK);
+    rdma->rx_buf = aligned_alloc(4096, static_cast<size_t>(RDMA_RX_DEPTH) * RDMA_CHUNK);
+    if (!rdma->tx_buf || !rdma->rx_buf) return false;
+
+    rdma->tx_mr = ibv_reg_mr(rdma->pd, rdma->tx_buf, RDMA_CHUNK, IBV_ACCESS_LOCAL_WRITE);
+    rdma->rx_mr = ibv_reg_mr(rdma->pd, rdma->rx_buf, static_cast<size_t>(RDMA_RX_DEPTH) * RDMA_CHUNK,
+                           IBV_ACCESS_LOCAL_WRITE | IBV_ACCESS_REMOTE_WRITE);
+    if (!rdma->tx_mr || !rdma->rx_mr) return false;
+
+    ibv_gid local_gid;
+    if (ibv_query_gid(ibctx, ib_port, gid_idx, &local_gid) != 0) return false;
+
+    rdma_local.qpn = rdma->qp->qp_num;
+    rdma_local.psn = rdma->qp->qp_num & 0xffffff;
+    memcpy(&rdma_local.gid, &local_gid, RDMA_GID_SIZE);
+
+    const char * ver_str = "";
+    if (gid_version == IBV_GID_TYPE_ROCE_V2) {
+        ver_str = " RoCEv2";
+    } else if (gid_version == IBV_GID_TYPE_ROCE_V1) {
+        ver_str = " RoCEv1";
+    }
+    GGML_LOG_INFO("RDMA probed: dev=%s gid=%d%s qpn=%u inline=%u\n",
+                  matched_dev, gid_idx, ver_str, rdma_local.qpn, rdma->max_inline);
+    return true;
+}
+
+// Phase 2: Given remote QPN/PSN/GID, transition QP: RESET->INIT->pre-post->RTR->RTS.
+// On success, the connection is live and ready for rdma_send/rdma_recv.
+bool socket_t::impl::rdma_activate(uint32_t remote_qpn, uint32_t remote_psn, const uint8_t * remote_gid) {
+    // RESET -> INIT
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state        = IBV_QPS_INIT;
+        a.port_num        = rdma_local.ib_port;
+        a.pkey_index      = 0;
+        a.qp_access_flags = IBV_ACCESS_REMOTE_WRITE | IBV_ACCESS_REMOTE_READ | IBV_ACCESS_LOCAL_WRITE;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_PKEY_INDEX | IBV_QP_PORT | IBV_QP_ACCESS_FLAGS) != 0) {
+            return false;
+        }
+    }
+
+    for (int i = 0; i < RDMA_RX_DEPTH; i++) {
+        if (!rdma->post_rx(i)) return false;
+    }
+
+    // INIT -> RTR
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state           = IBV_QPS_RTR;
+        a.path_mtu           = rdma_local.path_mtu;
+        a.dest_qp_num        = remote_qpn;
+        a.rq_psn             = remote_psn;
+        a.max_dest_rd_atomic = 1;
+        a.min_rnr_timer      = 1;
+        a.ah_attr.is_global  = 1;
+        memcpy(&a.ah_attr.grh.dgid, remote_gid, RDMA_GID_SIZE);
+        a.ah_attr.grh.hop_limit  = 1;
+        a.ah_attr.grh.sgid_index = rdma_local.gid_idx;
+        a.ah_attr.dlid       = 0;
+        a.ah_attr.port_num   = rdma_local.ib_port;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_AV | IBV_QP_PATH_MTU | IBV_QP_DEST_QPN |
+                IBV_QP_RQ_PSN | IBV_QP_MAX_DEST_RD_ATOMIC | IBV_QP_MIN_RNR_TIMER) != 0) {
+            return false;
+        }
+    }
+
+    // RTR -> RTS
+    {
+        struct ibv_qp_attr a = {};
+        a.qp_state     = IBV_QPS_RTS;
+        a.timeout      = 14;
+        a.retry_cnt    = 7;
+        a.rnr_retry    = 7;
+        a.sq_psn       = rdma_local.psn;
+        a.max_rd_atomic = 1;
+        if (ibv_modify_qp(rdma->qp, &a,
+                IBV_QP_STATE | IBV_QP_TIMEOUT | IBV_QP_RETRY_CNT | IBV_QP_RNR_RETRY |
+                IBV_QP_SQ_PSN | IBV_QP_MAX_QP_RD_ATOMIC) != 0) {
+            return false;
+        }
+    }
+
+    GGML_LOG_INFO("RDMA activated: qpn=%u->%u mtu=%d rx_depth=%d\n",
+                  rdma_local.qpn, remote_qpn, 128 << rdma_local.path_mtu, RDMA_RX_DEPTH);
+    return true;
+}
+
+bool socket_t::impl::rdma_poll(struct ibv_cq * cq, struct ibv_wc * wc) {
+    for (uint64_t s = 0; ; s++) {
+        int n = ibv_poll_cq(cq, 1, wc);
+        if (n > 0) {
+            if (wc->status != IBV_WC_SUCCESS) {
+                GGML_LOG_ERROR("RDMA CQ wc error: status=%d (%s) vendor_err=0x%x\n",
+                    wc->status, ibv_wc_status_str(wc->status), wc->vendor_err);
+            }
+            return wc->status == IBV_WC_SUCCESS;
+        }
+        if (n < 0) return false;
+        if ((s & 0xFFFFF) == 0 && s > 0) {
+            if (tcp_peer_closed()) {
+                return false;
+            }
+        }
+    }
+}
+
+bool socket_t::impl::rdma_send(const void * data, size_t size) {
+    rdma_conn * c = rdma.get();
+    const uint8_t * src = (const uint8_t *)data;
+    size_t rem = size;
+    while (rem > 0) {
+        size_t chunk = std::min(rem, RDMA_CHUNK);
+
+        struct ibv_sge sge = {};
+        struct ibv_send_wr wr = {}, * bad = nullptr;
+        wr.opcode  = IBV_WR_SEND;
+        wr.sg_list = &sge;
+        wr.num_sge = 1;
+
+        if (chunk <= c->max_inline) {
+            sge.addr   = (uintptr_t)src;
+            sge.length = chunk;
+            wr.send_flags = IBV_SEND_SIGNALED | IBV_SEND_INLINE;
+        } else {
+            memcpy(c->tx_buf, src, chunk);
+            sge.addr   = (uintptr_t)c->tx_buf;
+            sge.length = chunk;
+            sge.lkey   = c->tx_mr->lkey;
+            wr.send_flags = IBV_SEND_SIGNALED;
+        }
+
+        if (ibv_post_send(c->qp, &wr, &bad) != 0) return false;
+        struct ibv_wc wc;
+        if (!rdma_poll(c->scq, &wc)) return false;
+
+        src += chunk;
+        rem -= chunk;
+    }
+    return true;
+}
+
+bool socket_t::impl::rdma_recv(void * data, size_t size) {
+    rdma_conn * c = rdma.get();
+    uint8_t * dst = (uint8_t *)data;
+    size_t rem = size;
+    while (rem > 0) {
+        struct ibv_wc wc;
+        if (!rdma_poll(c->rcq, &wc)) return false;
+
+        int slot = (int)wc.wr_id;
+        size_t got = wc.byte_len;
+        memcpy(dst, c->rx_slot(slot), got);
+
+        if (!c->post_rx(slot)) return false;
+
+        dst += got;
+        rem -= got;
+    }
+    return true;
+}
+
+#endif // GGML_RPC_RDMA
+
+bool socket_t::impl::send_data(const void * data, size_t size) {
+#ifdef GGML_RPC_RDMA
+    if (use_rdma) {
+        return rdma_send(data, size);
+    }
+#endif
+    size_t bytes_sent = 0;
+    while (bytes_sent < size) {
+        size_t size_to_send = std::min(size - bytes_sent, MAX_CHUNK_SIZE);
+        ssize_t n = send(fd, (const char *)data + bytes_sent, size_to_send, 0);
+        if (n < 0) {
+            GGML_LOG_ERROR("send failed (bytes_sent=%zu, size_to_send=%zu)\n",
+                           bytes_sent, size_to_send);
+            return false;
+        }
+        bytes_sent += (size_t)n;
+    }
+    return true;
+}
+
+bool socket_t::impl::recv_data(void * data, size_t size) {
+#ifdef GGML_RPC_RDMA
+    if (use_rdma) {
+        return rdma_recv(data, size);
+    }
+#endif
+    size_t bytes_recv = 0;
+    while (bytes_recv < size) {
+        size_t size_to_recv = std::min(size - bytes_recv, MAX_CHUNK_SIZE);
+        ssize_t n = recv(fd, (char *)data + bytes_recv, size_to_recv, 0);
+        if (n < 0) {
+            GGML_LOG_ERROR("recv failed (bytes_recv=%zu, size_to_recv=%zu)\n",
+                           bytes_recv, size_to_recv);
+            return false;
+        }
+        if (n == 0) {
+            LOG_DBG("recv returned 0 (peer closed?)\n");
+            return false;
+        }
+        bytes_recv += (size_t)n;
+    }
+    return true;
+}
+
+void socket_t::impl::get_caps(uint8_t * local_caps) {
+    memset(local_caps, 0, RPC_CONN_CAPS_SIZE);
+#ifdef GGML_RPC_RDMA
+    rdma_local = {};
+    if (rdma_probe()) {
+        rdma_caps rc = {};
+        rc.qpn = rdma_local.qpn;
+        rc.psn = rdma_local.psn;
+        memcpy(rc.gid, rdma_local.gid, RDMA_GID_SIZE);
+        memcpy(local_caps, &rc, sizeof(rc));
+    } else {
+        rdma.reset();
+    }
+#endif // GGML_RPC_RDMA
+}
+
+void socket_t::impl::update_caps(const uint8_t * remote_caps) {
+#ifdef GGML_RPC_RDMA
+    if (!rdma) {
+        return;
+    }
+    rdma_caps rc = {};
+    memcpy(&rc, remote_caps, sizeof(rc));
+    if (rc.qpn == 0) {
+        rdma.reset();
+        return;
+    }
+    if (rdma_activate(rc.qpn, rc.psn, rc.gid)) {
+        use_rdma = true;
+    } else {
+        GGML_LOG_ERROR("RDMA activate failed, staying on TCP\n");
+        rdma.reset();
+    }
+#else
+    (void)remote_caps;
+#endif // GGML_RPC_RDMA
+}
+
+
+/////////////////////////////////////////////////////////////////////////////
+
+socket_t::socket_t(std::unique_ptr<impl> p) : pimpl(std::move(p)) {}
+
+socket_t::~socket_t() = default;
+
+bool socket_t::send_data(const void * data, size_t size) {
+    return pimpl->send_data(data, size);
+}
+
+bool socket_t::recv_data(void * data, size_t size) {
+    return pimpl->recv_data(data, size);
+}
+
+void socket_t::get_caps(uint8_t * local_caps) {
+    return pimpl->get_caps(local_caps);
+}
+
+void socket_t::update_caps(const uint8_t * remote_caps) {
+    return pimpl->update_caps(remote_caps);
+}
+
+static bool is_valid_fd(sockfd_t sockfd) {
+#ifdef _WIN32
+    return sockfd != INVALID_SOCKET;
+#else
+    return sockfd >= 0;
+#endif
+}
+
+static bool set_no_delay(sockfd_t sockfd) {
+    int flag = 1;
+    // set TCP_NODELAY to disable Nagle's algorithm
+    int ret = setsockopt(sockfd, IPPROTO_TCP, TCP_NODELAY, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+static bool set_reuse_addr(sockfd_t sockfd) {
+    int flag = 1;
+    int ret = setsockopt(sockfd, SOL_SOCKET, SO_REUSEADDR, (char *)&flag, sizeof(int));
+    return ret == 0;
+}
+
+socket_ptr socket_t::accept() {
+    auto client_socket_fd = ::accept(pimpl->fd, NULL, NULL);
+    if (!is_valid_fd(client_socket_fd)) {
+        return nullptr;
+    }
+    if (!set_no_delay(client_socket_fd)) {
+        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(client_socket_fd)));
+}
+
+socket_ptr socket_t::create_server(const char * host, int port) {
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    if (!is_valid_fd(sockfd)) {
+        return nullptr;
+    }
+    if (!set_reuse_addr(sockfd)) {
+        GGML_LOG_ERROR("Failed to set SO_REUSEADDR\n");
+        return nullptr;
+    }
+    if (inet_addr(host) == INADDR_NONE) {
+        GGML_LOG_ERROR("Invalid host address: %s\n", host);
+        return nullptr;
+    }
+    struct sockaddr_in serv_addr;
+    serv_addr.sin_family = AF_INET;
+    serv_addr.sin_addr.s_addr = inet_addr(host);
+    serv_addr.sin_port = htons(port);
+
+    if (bind(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0) {
+        return nullptr;
+    }
+    if (listen(sockfd, 1) < 0) {
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(sockfd)));
+}
+
+socket_ptr socket_t::connect(const char * host, int port) {
+    auto sockfd = socket(AF_INET, SOCK_STREAM, 0);
+    if (!is_valid_fd(sockfd)) {
+        return nullptr;
+    }
+    if (!set_no_delay(sockfd)) {
+        GGML_LOG_ERROR("Failed to set TCP_NODELAY\n");
+        return nullptr;
+    }
+    struct sockaddr_in addr;
+    addr.sin_family = AF_INET;
+    addr.sin_port = htons(port);
+    struct hostent * server = gethostbyname(host);
+    if (server == NULL) {
+        GGML_LOG_ERROR("Cannot resolve host '%s'\n", host);
+        return nullptr;
+    }
+    memcpy(&addr.sin_addr.s_addr, server->h_addr, server->h_length);
+    if (::connect(sockfd, (struct sockaddr *)&addr, sizeof(addr)) < 0) {
+        return nullptr;
+    }
+    return socket_ptr(new socket_t(std::make_unique<impl>(sockfd)));
+}
+
+#ifdef _WIN32
+static std::mutex g_rpc_transport_mu;
+static bool g_rpc_transport_wsa_started = false;
+#endif
+
+bool rpc_transport_init() {
+#ifdef _WIN32
+    std::lock_guard<std::mutex> lock(g_rpc_transport_mu);
+    if (g_rpc_transport_wsa_started) {
+        return true;
+    }
+    WSADATA wsaData;
+    int res = WSAStartup(MAKEWORD(2, 2), &wsaData);
+    if (res != 0) {
+        return false;
+    }
+    g_rpc_transport_wsa_started = true;
+    return true;
+#else
+    return true;
+#endif
+}
+
+void rpc_transport_shutdown() {
+#ifdef _WIN32
+    std::lock_guard<std::mutex> lock(g_rpc_transport_mu);
+    if (!g_rpc_transport_wsa_started) {
+        return;
+    }
+    WSACleanup();
+    g_rpc_transport_wsa_started = false;
+#endif
+}
diff --git a/ggml/src/ggml-rpc/transport.h b/ggml/src/ggml-rpc/transport.h
new file mode 100644
index 000000000..73b85cc53
--- /dev/null
+++ b/ggml/src/ggml-rpc/transport.h
@@ -0,0 +1,34 @@
+#pragma once
+
+#include <cstddef>
+#include <cstdint>
+#include <memory>
+
+struct socket_t;
+typedef std::shared_ptr<socket_t> socket_ptr;
+
+static constexpr size_t MAX_CHUNK_SIZE = 1024ull * 1024ull * 1024ull; // 1 GiB
+static constexpr size_t RPC_CONN_CAPS_SIZE = 24;
+
+struct socket_t {
+    ~socket_t();
+
+    bool send_data(const void * data, size_t size);
+    bool recv_data(void * data, size_t size);
+
+    socket_ptr accept();
+
+    void get_caps(uint8_t * local_caps);
+    void update_caps(const uint8_t * remote_caps);
+
+    static socket_ptr create_server(const char * host, int port);
+    static socket_ptr connect(const char * host, int port);
+
+private:
+    struct impl;
+    explicit socket_t(std::unique_ptr<impl> p);
+    std::unique_ptr<impl> pimpl;
+};
+
+bool rpc_transport_init();
+void rpc_transport_shutdown();
diff --git a/ggml/src/ggml-sycl/CMakeLists.txt b/ggml/src/ggml-sycl/CMakeLists.txt
index 7b07b2278..8e589fa23 100644
--- a/ggml/src/ggml-sycl/CMakeLists.txt
+++ b/ggml/src/ggml-sycl/CMakeLists.txt
@@ -154,6 +154,11 @@ if (GGML_SYCL_GRAPH)
     target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_GRAPH)
 endif()
 
+if (GGML_SYCL_HOST_MEM_FALLBACK)
+    message(STATUS "find GGML_SYCL_HOST_MEM_FALLBACK")
+    target_compile_definitions(ggml-sycl PRIVATE GGML_SYCL_HOST_MEM_FALLBACK)
+endif()
+
 if (GGML_SYCL_DEVICE_ARCH)
     target_compile_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH})
     target_link_options(ggml-sycl PRIVATE -Xsycl-target-backend --offload-arch=${GGML_SYCL_DEVICE_ARCH})
diff --git a/ggml/src/ggml-sycl/common.hpp b/ggml/src/ggml-sycl/common.hpp
index fd84c9178..5abf22906 100644
--- a/ggml/src/ggml-sycl/common.hpp
+++ b/ggml/src/ggml-sycl/common.hpp
@@ -28,6 +28,13 @@
 
 namespace syclexp = sycl::ext::oneapi::experimental;
 
+#if defined(__INTEL_LLVM_COMPILER) && __has_include(<sycl/ext/oneapi/bfloat16.hpp>)
+    #include <sycl/ext/oneapi/bfloat16.hpp>
+    #ifndef GGML_SYCL_HAS_BF16
+        #define GGML_SYCL_HAS_BF16
+    #endif
+#endif
+
 #if GGML_SYCL_DNNL
 #include "dnnl.hpp"
 #include "dnnl_sycl.hpp"
@@ -217,7 +224,7 @@ struct sycl_device_info {
                        // cudaOccupancyMaxActiveBlocksPerMultiprocessor
     bool    vmm;                // virtual memory support
     size_t  total_vram;
-    //sycl_hw_info hw_info;     \\ device id and aarch, currently not used
+    sycl_hw_info hw_info;
     optimize_feature opt_feature;
 };
 
diff --git a/ggml/src/ggml-sycl/convert.cpp b/ggml/src/ggml-sycl/convert.cpp
index d7f60cbc9..67b9c06f3 100644
--- a/ggml/src/ggml-sycl/convert.cpp
+++ b/ggml/src/ggml-sycl/convert.cpp
@@ -2,13 +2,6 @@
 #include "dequantize.hpp"
 #include "presets.hpp"
 
-#if defined(__INTEL_LLVM_COMPILER)
-    #if __has_include(<sycl/ext/oneapi/bfloat16.hpp>)
-        #include <sycl/ext/oneapi/bfloat16.hpp>
-        #define GGML_SYCL_HAS_BF16
-    #endif
-#endif
-
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int64_t k,
                              const sycl::nd_item<3> &item_ct1) {
@@ -151,6 +144,25 @@ static void dequantize_row_q4_0_sycl_reorder(const void *vx, dst_t *y, const int
 
 }
 
+template <typename dst_t>
+static void dequantize_row_q8_0_sycl_reorder(const void *vx, dst_t *y, const int64_t k,
+                                     dpct::queue_ptr stream) {
+
+    dpct::has_capability_or_fail(stream->get_device(),
+                                    {sycl::aspect::fp16});
+
+    int constexpr WARP_K = WARP_SIZE * QK8_0;
+    const int n_warp = (k + WARP_K - 1) / WARP_K;
+    GGML_ASSERT(k % QK8_0 == 0);
+    stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, n_warp) *
+        sycl::range<3>(1, 1, WARP_SIZE),
+        sycl::range<3>(1, 1, WARP_SIZE)),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]]{
+            dequantize_block_q8_0_reorder(vx, y, k, item_ct1);
+        });
+
+}
+
 template <typename dst_t>
 static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int64_t k,
                                      dpct::queue_ptr stream) {
@@ -488,7 +500,7 @@ static void dequantize_row_nvfp4_sycl(const void * vx, dst_t * y, const int64_t
     const int nb = k / QK_NVFP4;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * sycl::range<3>(1, 1, 32), sycl::range<3>(1, 1, 32)),
-        [=](sycl::nd_item<3> item_ct1) {
+        [=](sycl::nd_item<3> /*item_ct1*/) {
             dequantize_block_nvfp4(vx, y, k);
         });
 }
@@ -614,7 +626,12 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) {
         case GGML_TYPE_Q5_1:
             return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
         case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            if (dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                return dequantize_row_q8_0_sycl_reorder;
+            } else {
+                return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            }
         case GGML_TYPE_Q2_K:
             return dequantize_row_q2_K_sycl;
         case GGML_TYPE_Q3_K:
@@ -683,7 +700,12 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
         case GGML_TYPE_Q5_1:
             return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
         case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            if (dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu*)dst->src[0]->extra)->optimized_feature.reorder) {
+                return dequantize_row_q8_0_sycl_reorder;
+            } else {
+                return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+            }
         case GGML_TYPE_Q2_K:
             return dequantize_row_q2_K_sycl;
         case GGML_TYPE_Q3_K:
@@ -738,6 +760,22 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
 }
 
 
+#ifdef GGML_SYCL_HAS_BF16
+to_bf16_sycl_t ggml_get_to_bf16_sycl(ggml_type type, ggml_tensor * /*dst*/) {
+    switch (type) {
+        case GGML_TYPE_F32:
+            return convert_unary_sycl<float>;
+        case GGML_TYPE_F16:
+            return convert_unary_sycl<sycl::half>;
+        case GGML_TYPE_BF16:
+            return convert_unary_sycl<sycl::ext::oneapi::bfloat16>;
+        default:
+            GGML_ABORT("fatal error: unsupport data type=%s\n", ggml_type_name(type));
+            return nullptr;
+    }
+}
+#endif
+
 to_fp16_nc_sycl_t ggml_get_to_fp16_nc_sycl(ggml_type type) {
     switch (type) {
         case GGML_TYPE_F32:
diff --git a/ggml/src/ggml-sycl/convert.hpp b/ggml/src/ggml-sycl/convert.hpp
index 6e621f215..8de79d10f 100644
--- a/ggml/src/ggml-sycl/convert.hpp
+++ b/ggml/src/ggml-sycl/convert.hpp
@@ -23,6 +23,11 @@ typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t;
 to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst);
 to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor * dst);
 
+#ifdef GGML_SYCL_HAS_BF16
+typedef to_t_sycl_t<sycl::ext::oneapi::bfloat16> to_bf16_sycl_t;
+to_bf16_sycl_t ggml_get_to_bf16_sycl(ggml_type type, ggml_tensor * dst);
+#endif
+
 // Nc = Non-contiguous
 template <typename T>
 using to_t_nc_sycl_t = void (*)(const void * x, T * y, int64_t ne00, int64_t ne01, int64_t ne02, int64_t ne03,
@@ -35,15 +40,19 @@ template<typename dst_t, typename src_t>
  inline dst_t ggml_sycl_cast(src_t x) {
     if constexpr (std::is_same_v<dst_t, src_t>) {
         return x;
+#ifdef GGML_SYCL_HAS_BF16
     } else if constexpr (std::is_same_v<dst_t, sycl::ext::oneapi::bfloat16>) {
         return sycl::ext::oneapi::bfloat16(float(x));
     } else if constexpr (std::is_same_v<src_t, sycl::ext::oneapi::bfloat16>) {
         return static_cast<float>(x);
+#endif
     } else if constexpr (std::is_same_v<src_t, sycl::float2> && std::is_same_v<dst_t, sycl::half2>) {
         return x.template convert<sycl::half, sycl::rounding_mode::rte>();
+#ifdef GGML_SYCL_HAS_BF16
     } else if constexpr (std::is_same_v<src_t, sycl::float2> &&
                          std::is_same_v<dst_t, sycl::vec<sycl::ext::oneapi::bfloat16, 2>>) {
         return {x.x, x.y};
+#endif
     } else if constexpr(std::is_same_v<dst_t, int32_t>) {
         return int32_t(x);
     } else {
diff --git a/ggml/src/ggml-sycl/dequantize.hpp b/ggml/src/ggml-sycl/dequantize.hpp
index 3272724f4..19fa88680 100644
--- a/ggml/src/ggml-sycl/dequantize.hpp
+++ b/ggml/src/ggml-sycl/dequantize.hpp
@@ -14,6 +14,7 @@
 #define GGML_SYCL_DEQUANTIZE_HPP
 
 #include "common.hpp"
+#include "convert.hpp"
 
 typedef void (*dequantize_kernel_t)(const void * vx, const int64_t ib, const int iqs, dfloat2 & v);
 typedef void (*dequantize_kernel_t_reorder)(const void *d, const int64_t ib, const void *qs,
@@ -143,6 +144,22 @@ static __dpct_inline__ void dequantize_q5_1(const void *vx, const int64_t ib,
 #endif // GGML_SYCL_F16
 }
 
+static __dpct_inline__ void dequantize_q8_0_reorder(const void *d_ptr, const int64_t ib, const void *qs,
+                                            const int iqs, dfloat2 &v) {
+    const dfloat d = (const dfloat)*((const sycl::half*)d_ptr + ib);
+
+    v.x() = ((const int8_t *)qs)[iqs + 0];
+    v.y() = ((const int8_t *)qs)[iqs + 1];
+
+#ifdef GGML_SYCL_F16
+    v.s0() *= d;
+    v.s1() *= d;
+#else
+    v.x() *= d;
+    v.y() *= d;
+#endif // GGML_SYCL_F16
+}
+
 static __dpct_inline__ void dequantize_q8_0(const void *vx, const int64_t ib,
                                             const int iqs, dfloat2 &v) {
     const block_q8_0 * x = (const block_q8_0 *) vx;
@@ -222,6 +239,34 @@ static void dequantize_block_q4_0_reorder(const void * __restrict__ vx, dst_t *
 
 }
 
+// Dequantize Q8_0 from reorder layout: [all qs (k bytes)][all d values]
+// Each thread handles one block of QK8_0 elements.
+template<typename dst_t>
+static void dequantize_block_q8_0_reorder(const void * __restrict__ vx, dst_t * __restrict__ yy, int64_t k,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int64_t i = item_ct1.get_group(2);
+    const int64_t tid = item_ct1.get_local_id(2);
+    const int lane_ib = i * WARP_SIZE + tid;
+
+    if (lane_ib >= k / QK8_0) {
+        return;
+    }
+
+    dst_t * y_ptr = yy + lane_ib * QK8_0;
+
+    auto qs = (const int8_t*)vx + lane_ib * QK8_0;
+    auto s_ptr = (const sycl::half*)((const uint8_t*)vx + k) + lane_ib;
+
+    const float d = float(*s_ptr);
+
+#pragma unroll
+    for (int l = 0; l < QK8_0; ++l) {
+        y_ptr[l] = d * qs[l];
+    }
+
+}
+
 template<typename dst_t>
 static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int64_t nb32,
                                   const sycl::nd_item<3> &item_ct1) {
diff --git a/ggml/src/ggml-sycl/dmmv.cpp b/ggml/src/ggml-sycl/dmmv.cpp
index 4f2760110..5577bf73b 100644
--- a/ggml/src/ggml-sycl/dmmv.cpp
+++ b/ggml/src/ggml-sycl/dmmv.cpp
@@ -615,6 +615,162 @@ static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
     }
 }
 
+static void dequantize_mul_mat_vec_q4_k_reorder(const void *__restrict__ vx,
+                                                const float *__restrict__ yy,
+                                                float *__restrict__ dst,
+                                                const int ncols, int nrows,
+                                                const sycl::nd_item<3> &item_ct1) {
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    // SOA base pointers for the reordered layout:
+    //   [qs: nb * QK_K/2] [scales: nb * K_SCALE_SIZE] [dm: nb * sizeof(half2)]
+    const int nb = nrows * num_blocks_per_row;
+    const uint8_t     * qs_base     = (const uint8_t *)vx;
+    const uint8_t     * scales_base = qs_base + (size_t)nb * (QK_K / 2);
+    const sycl::half2 * dm_base     = (const sycl::half2 *)(scales_base + (size_t)nb * K_SCALE_SIZE);
+
+#if QK_K == 256
+    const uint16_t kmask1 = 0x3f3f;
+    const uint16_t kmask2 = 0x0f0f;
+    const uint16_t kmask3 = 0xc0c0;
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
+
+    const int step = 8/K_QUANTS_PER_ITERATION;           // 8 or 4
+
+    const int il  = tid/step;                            // 0...3
+    const int ir  = tid - step*il;                       // 0...7 or 0...3
+    const int n   = 2 * K_QUANTS_PER_ITERATION;          // 2 or 4
+
+    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const int in = il%2;
+
+    const int l0 = n*(2*ir + in);
+    const int q_offset = 32*im + l0;
+    const int y_offset = 64*im + l0;
+
+    uint16_t aux[4];
+    const uint8_t * sc = (const uint8_t *)aux;
+
+#if K_QUANTS_PER_ITERATION == 2
+    uint32_t q32[4];
+    const uint8_t * q4 = (const uint8_t *)q32;
+#else
+    uint16_t q16[4];
+    const uint8_t * q4 = (const uint8_t *)q16;
+#endif
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y1 = yy + i*QK_K + y_offset;
+        const float   * y2 = y1 + 128;
+
+        const sycl::half2 dm_val = dm_base[bi];
+        const float dall = dm_val[0];
+        const float dmin = dm_val[1];
+
+        const uint16_t * a = (const uint16_t *)(scales_base + bi * K_SCALE_SIZE);
+        aux[0] = a[im+0] & kmask1;
+        aux[1] = a[im+2] & kmask1;
+        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
+        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
+
+#if K_QUANTS_PER_ITERATION == 2
+        const uint32_t * q1 = (const uint32_t *)(qs_base + bi * (QK_K / 2) + q_offset);
+        const uint32_t * q2 = q1 + 16;
+
+        q32[0] = q1[0] & 0x0f0f0f0f;
+        q32[1] = q1[0] & 0xf0f0f0f0;
+        q32[2] = q2[0] & 0x0f0f0f0f;
+        q32[3] = q2[0] & 0xf0f0f0f0;
+
+        sycl::float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 4; ++l) {
+            s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4];
+            s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f +
+                       s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) -
+               dmin * smin;
+#else
+        const uint16_t * q1 = (const uint16_t *)(qs_base + bi * (QK_K / 2) + q_offset);
+        const uint16_t * q2 = q1 + 32;
+
+        q16[0] = q1[0] & 0x0f0f;
+        q16[1] = q1[0] & 0xf0f0;
+        q16[2] = q2[0] & 0x0f0f;
+        q16[3] = q2[0] & 0xf0f0;
+
+        float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 2; ++l) {
+            s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2];
+            s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin;
+#endif
+
+    }
+#else
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    uint16_t aux16[2];
+    const uint8_t * s = (const uint8_t *)aux16;
+
+    float tmp = 0;
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const uint8_t * q = qs_base + bi * (QK_K / 2) + step;
+        const float   * y = yy + i*QK_K + step;
+        const uint16_t * a = (const uint16_t *)(scales_base + bi * K_SCALE_SIZE);
+        aux16[0] = a[0] & 0x0f0f;
+        aux16[1] = (a[0] >> 4) & 0x0f0f;
+        const sycl::half2 dm_val = dm_base[bi];
+        const float d = (float)dm_val[0];
+        const float m = (float)dm_val[1];
+        float sum = 0.f;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
+                 + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
+                 + y[j+32] * (d * s[1] * (q[j+ 0] >>  4) - m * s[3])
+                 + y[j+48] * (d * s[1] * (q[j+16] >>  4) - m * s[3]);
+        }
+        tmp += sum;
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = QK_WARP_SIZE / 2; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
 /*
 DPCT1110:7: The total declared local variable size in device function
 dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register
@@ -864,6 +1020,129 @@ static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const floa
     }
 }
 
+static void dequantize_mul_mat_vec_q6_k_reorder(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows,
+                                                const sycl::nd_item<3> &item_ct1) {
+
+    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    // SOA base pointers for the reordered layout:
+    //   [ql: nb * QK_K/2] [qh: nb * QK_K/4] [scales: nb * QK_K/16] [d: nb * sizeof(half)]
+    const int nb = nrows * num_blocks_per_row;
+    const uint8_t   * ql_base     = (const uint8_t *)vx;
+    const uint8_t   * qh_base     = ql_base + (size_t)nb * (QK_K / 2);
+    const int8_t    * scales_base = (const int8_t *)(qh_base + (size_t)nb * (QK_K / 4));
+    const sycl::half * d_base     = (const sycl::half *)((const uint8_t *)scales_base + (size_t)nb * (QK_K / 16));
+
+#if QK_K == 256
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1
+
+    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
+
+    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const int in = tid - step*im;                        // 0...15 or 0...7
+
+#if K_QUANTS_PER_ITERATION == 1
+    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
+    const int is = 0;
+#else
+    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
+    const int is = in / 4;
+#endif
+    const int ql_offset = 64*im + l0;
+    const int qh_offset = 32*im + l0;
+    const int s_offset  =  8*im + is;
+    const int y_offset = 128*im + l0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y  = yy + i * QK_K + y_offset;
+        const uint8_t * ql = ql_base + bi * (QK_K / 2) + ql_offset;
+        const uint8_t * qh = qh_base + bi * (QK_K / 4) + qh_offset;
+        const int8_t  * s  = scales_base + bi * (QK_K / 16) + s_offset;
+
+        const float d = d_base[bi];
+
+#if K_QUANTS_PER_ITERATION == 1
+        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
+                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
+                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
+                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
+                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
+                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
+                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
+                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
+        tmp += sum;
+#else
+        float sum = 0;
+        for (int l = 0; l < 4; ++l) {
+            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
+                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
+                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
+                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
+        }
+        tmp += sum;
+#endif
+
+    }
+
+#else
+
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...7
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0...3
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const int bi = ib0 + i;
+
+        const float   * y  = yy + i * QK_K + step;
+        const uint8_t * ql = ql_base + bi * (QK_K / 2) + step;
+        const uint8_t * qh = qh_base + bi * (QK_K / 4) + step;
+        const int8_t  * s  = scales_base + bi * (QK_K / 16);
+
+        const float d = d_base[bi];
+
+        float sum = 0;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
+                 + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
+                 + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >>  4) | ((qh[j] & 0x30) >> 0)) - 32)
+                 + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >>  4) | ((qh[j] & 0xc0) >> 2)) - 32);
+        }
+        tmp += sum;
+
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = QK_WARP_SIZE / 2; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
 static void dequantize_mul_mat_vec_q4_0_sycl_reorder(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
@@ -972,6 +1251,103 @@ static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
     }
 }
 
+static void dequantize_mul_mat_vec_q8_0_sycl_reorder(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                // Q8_0 reorder layout: [all qs (ncols*nrows bytes)][all d values]
+                // Cannot reuse dequantize_mul_mat_vec_reorder template because it has
+                // Q4_0-specific constants hardcoded (d_ptr offset and qs stride).
+                const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+                if (row >= nrows) return;
+
+                const int tid = item_ct1.get_local_id(2);
+                const int iter_stride = 8*2*GGML_SYCL_DMMV_X;
+                const int vals_per_iter = iter_stride / WARP_SIZE;
+                const int ncols_left = ncols % (QK8_0*WARP_SIZE);
+                const int ncols_align = ncols - ncols_left;
+
+#ifdef GGML_SYCL_F16
+                sycl::half2 tmp = {0.0f, 0.0f};
+#else
+                float tmp = 0.0f;
+#endif
+                const char *d_ptr = (const char*)vx + ncols*nrows;  // d after all qs
+
+                int i = 0;
+                for (i = 0; i < ncols_align; i += iter_stride) {
+                    const int col = i + vals_per_iter*tid;
+                    const int ib = (row*ncols + col)/QK8_0;
+                    const int iqs = col % QK8_0;
+
+#pragma unroll
+                    for (int j = 0; j < vals_per_iter; j += 2) {
+                        dfloat2 v;
+                        dequantize_q8_0_reorder((const void *)d_ptr, ib, (const void *)vx,
+                                                ib * QK8_0 + iqs + j, v);
+
+#ifdef GGML_SYCL_F16
+                        dfloat2 t1{y[col + j + 0], y[col + j + 1]};
+                        tmp += v * t1;
+#else
+                        tmp += v.x() * y[col + j + 0];
+                        tmp += v.y() * y[col + j + 1];
+#endif
+                    }
+                }
+
+                // handle remaining columns
+                for (; i < ncols; i += iter_stride) {
+                    if (tid >= ncols_left/QK8_0) continue;
+                    const int col = i + vals_per_iter*tid;
+                    const int ib = (row*ncols + col)/QK8_0;
+                    const int iqs = col % QK8_0;
+
+#pragma unroll
+                    for (int j = 0; j < vals_per_iter; j += 2) {
+                        dfloat2 v;
+                        dequantize_q8_0_reorder((const void *)d_ptr, ib, (const void *)vx,
+                                                ib * QK8_0 + iqs + j, v);
+
+#ifdef GGML_SYCL_F16
+                        dfloat2 t1{y[col + j + 0], y[col + j + 1]};
+                        tmp += v * t1;
+#else
+                        tmp += v.x() * y[col + j + 0];
+                        tmp += v.y() * y[col + j + 1];
+#endif
+                    }
+                }
+
+                // reduce
+                const int mask_start = ncols > GGML_SYCL_DMMV_X ? WARP_SIZE >> 1 : WARP_SIZE >> 2;
+                for (int mask = mask_start; mask > 0; mask >>= 1) {
+                    tmp += dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+                }
+
+                if (tid == 0) {
+#ifdef GGML_SYCL_F16
+                    dst[row] = tmp.x() + tmp.y();
+#else
+                    dst[row] = tmp;
+#endif
+                }
+            });
+    }
+}
+
 static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
@@ -1070,6 +1446,38 @@ static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
         });
 }
 
+static void dequantize_mul_mat_vec_q4_K_sycl_reorder(const void *vx, const float *y,
+                                                     float *dst, const int ncols,
+                                                     const int nrows,
+                                                     dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, QK_WARP_SIZE);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(QK_WARP_SIZE)]] {
+            dequantize_mul_mat_vec_q4_k_reorder(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q6_K_sycl_reorder(const void *vx, const float *y,
+                                                     float *dst, const int ncols,
+                                                     const int nrows,
+                                                     dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, QK_WARP_SIZE);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(QK_WARP_SIZE)]] {
+            dequantize_mul_mat_vec_q6_k_reorder(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
 void ggml_sycl_op_dequantize_mul_mat_vec(
     ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
@@ -1122,7 +1530,12 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
             dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
             break;
         case GGML_TYPE_Q8_0:
-            dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                dequantize_mul_mat_vec_q8_0_sycl_reorder(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            } else {
+                dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            }
             break;
         case GGML_TYPE_Q2_K:
             dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
@@ -1133,8 +1546,7 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
         case GGML_TYPE_Q4_K:
             if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
                 ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
-                // reorder is currently not supported for dmmv
-                GGML_ABORT("Unimplemented dequantize case case for q4_k reorder");
+                dequantize_mul_mat_vec_q4_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             } else {
                 dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             }
@@ -1143,7 +1555,12 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
             dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
             break;
         case GGML_TYPE_Q6_K:
-            dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                dequantize_mul_mat_vec_q6_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            } else {
+                dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            }
             break;
         case GGML_TYPE_F16:
             convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
diff --git a/ggml/src/ggml-sycl/element_wise.cpp b/ggml/src/ggml-sycl/element_wise.cpp
index ec0247528..249e80c82 100644
--- a/ggml/src/ggml-sycl/element_wise.cpp
+++ b/ggml/src/ggml-sycl/element_wise.cpp
@@ -355,7 +355,7 @@ static void acc_f32_sycl(const float *x, const float *y, float *dst,
     const int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
     stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE),
                                            sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
-                         [=](sycl::nd_item<3> item_ct1) {
+                         [=](sycl::nd_item<3> /*item_ct1*/) {
                              acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, ne13, s1, s2, s3, offset);
                          });
 }
diff --git a/ggml/src/ggml-sycl/fattn-tile.cpp b/ggml/src/ggml-sycl/fattn-tile.cpp
index 9d4f019cf..9449d7578 100644
--- a/ggml/src/ggml-sycl/fattn-tile.cpp
+++ b/ggml/src/ggml-sycl/fattn-tile.cpp
@@ -44,6 +44,10 @@ void ggml_sycl_flash_attn_ext_tile(ggml_backend_sycl_context & ctx, ggml_tensor
             GGML_ASSERT(V->ne[0] == K->ne[0]);
             ggml_sycl_flash_attn_ext_tile_case<256, 256>(ctx, dst);
         } break;
+        case 512: {
+            GGML_ASSERT(V->ne[0] == K->ne[0]);
+            ggml_sycl_flash_attn_ext_tile_case<512, 512>(ctx, dst);
+        } break;
         case 576: {
             GGML_ASSERT(V->ne[0] == 512);
             ggml_sycl_flash_attn_ext_tile_case<576, 512>(ctx, dst);
diff --git a/ggml/src/ggml-sycl/fattn-tile.hpp b/ggml/src/ggml-sycl/fattn-tile.hpp
index b4d4e0ae9..9ba529696 100644
--- a/ggml/src/ggml-sycl/fattn-tile.hpp
+++ b/ggml/src/ggml-sycl/fattn-tile.hpp
@@ -67,6 +67,12 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, co
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  64,  64)
 
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  2,  64, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 32, 256, 2,  64,  64)
+
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
@@ -124,6 +130,12 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, co
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32,  64)
 
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  2, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  4, 128, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512,  8, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(512, 512, 32, 256, 2,  64,  64)
+
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  32,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  32,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  32,  64)
@@ -131,134 +143,6 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp32(const int DKQ, co
     return 0;
 }
 
-static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd(const int DKQ, const int DV, const int ncols) {
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 3,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4, 128, 3,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 2,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 256, 2,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 2,  64,  32)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2, 256, 2, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 256, 2,  64, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 2,  32, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 2,  32, 128)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 512, 1, 128,  64)
-
-    return 0;
-}
-
-static constexpr uint32_t ggml_sycl_fattn_tile_get_config_amd_rdna(const int DKQ, const int DV, const int ncols) {
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 40,  40, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  4,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64,  8, 128, 5, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 16, 128, 5, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 32, 128, 4,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 64,  64, 64, 128, 5,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  2,  64, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  4, 128, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72,  8, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 16, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 32, 256, 2,  32,  72)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 72,  72, 64, 256, 2,  32,  72)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  2,  64, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  4, 128, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80,  8, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 16, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 32, 256, 2,  32,  40)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 80,  80, 64, 256, 2,  32,  40)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  2,  64, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  4, 128, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96,  8, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 16, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 32, 256, 2,  32,  48)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE( 96,  96, 64, 256, 2,  32,  48)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  2,  64, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  4, 128, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112,  8, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 16, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 32, 256, 2,  32,  56)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(112, 112, 64, 256, 2,  32,  56)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  4, 128, 8,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128,  8, 128, 8,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 16, 256, 3, 128, 128)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 32, 256, 3, 128,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(128, 128, 64, 256, 3,  64,  64)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  2,  64, 8,  32,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  4, 128, 6,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256,  8, 128, 6,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 16, 256, 5,  32, 256)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(256, 256, 32, 256, 3,  64, 128)
-
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 4,  64,  64)
-    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2, 128,  64)
-
-    return 0;
-}
-
 static constexpr uint32_t ggml_sycl_fattn_tile_get_config(const int DKQ, const int DV, const int ncols, const int cc) {
     if(fast_fp16_available(cc))
         return ggml_sycl_fattn_tile_get_config_fp16(DKQ, DV, ncols);
@@ -1293,6 +1177,16 @@ static void launch_fattn_tile_switch_ncols2(ggml_backend_sycl_context & ctx, ggm
             launch_fattn_tile_switch_ncols1<DKQ, DV, 4, use_logit_softcap>(ctx, dst);
             return;
         }
+        // ncols2=2 and ncols2=1 fallbacks only for cases where ncols=2 config exists (DKQ == DV).
+        // For DKQ == 576, DV == 512 only GQA-optimized variants are implemented.
+        if constexpr (DKQ == DV) {
+            if (use_gqa_opt && gqa_ratio % 2 == 0) {
+                launch_fattn_tile_switch_ncols1<DKQ, DV, 2, use_logit_softcap>(ctx, dst);
+                return;
+            }
+            launch_fattn_tile_switch_ncols1<DKQ, DV, 1, use_logit_softcap>(ctx, dst);
+            return;
+        }
     }
 
     if constexpr (DV <= 256) {
@@ -1347,5 +1241,6 @@ extern DECL_FATTN_TILE_CASE( 96,  96);
 extern DECL_FATTN_TILE_CASE(112, 112);
 extern DECL_FATTN_TILE_CASE(128, 128);
 extern DECL_FATTN_TILE_CASE(256, 256);
+extern DECL_FATTN_TILE_CASE(512, 512);
 extern DECL_FATTN_TILE_CASE(576, 512);
 
diff --git a/ggml/src/ggml-sycl/fattn-vec.hpp b/ggml/src/ggml-sycl/fattn-vec.hpp
index 48c389052..8031acfdf 100644
--- a/ggml/src/ggml-sycl/fattn-vec.hpp
+++ b/ggml/src/ggml-sycl/fattn-vec.hpp
@@ -664,4 +664,11 @@ EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_0)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q5_1)
 EXTERN_DECL_FATTN_VEC_CASES(256, GGML_TYPE_Q8_0)
 
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_F16)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q4_0)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q4_1)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q5_0)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q5_1)
+EXTERN_DECL_FATTN_VEC_CASES(512, GGML_TYPE_Q8_0)
+
 #endif // GGML_SYCL_FATTN_VEC_HPP
diff --git a/ggml/src/ggml-sycl/fattn.cpp b/ggml/src/ggml-sycl/fattn.cpp
index c276ed898..7c6e6112f 100644
--- a/ggml/src/ggml-sycl/fattn.cpp
+++ b/ggml/src/ggml-sycl/fattn.cpp
@@ -34,6 +34,7 @@
     FATTN_VEC_CASE( 64, type_K, type_V)       \
     FATTN_VEC_CASE(128, type_K, type_V)       \
     FATTN_VEC_CASE(256, type_K, type_V)       \
+    FATTN_VEC_CASE(512, type_K, type_V)       \
 
 static void ggml_sycl_flash_attn_ext_vec(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
     ggml_tensor * Q = dst->src[0];
@@ -141,6 +142,7 @@ static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const
         case 128:
         case 112:
         case 256:
+        case 512:
             if (V->ne[0] != K->ne[0]) {
                 return BEST_FATTN_KERNEL_NONE;
             }
@@ -185,7 +187,7 @@ static best_fattn_kernel ggml_sycl_get_best_fattn_kernel(const int device, const
     }
 
     // For small batch sizes the vector kernel may be preferable over the kernels optimized for large batch sizes:
-    const bool can_use_vector_kernel = Q->ne[0] <= 256 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0;
+    const bool can_use_vector_kernel = Q->ne[0] <= 512 && Q->ne[0] % 64 == 0 && K->ne[1] % FATTN_KQ_STRIDE == 0;
 
     // Todo: Use the XMX kernel if possible:
 
diff --git a/ggml/src/ggml-sycl/gated_delta_net.cpp b/ggml/src/ggml-sycl/gated_delta_net.cpp
index 648455c13..ebc587524 100644
--- a/ggml/src/ggml-sycl/gated_delta_net.cpp
+++ b/ggml/src/ggml-sycl/gated_delta_net.cpp
@@ -176,14 +176,12 @@ static void launch_gated_delta_net(const float *   q_d,
     const sycl::uint3 neqk1_magic = init_fastdiv_values(neqk1);
     const sycl::uint3 rq3_magic   = init_fastdiv_values(rq3);
 
-    int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc;
-
     switch (S_v) {
         case 16:
             {
                 constexpr int sv = 16;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                     [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                     [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                          gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
                                                                        n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
                                                                        sb3, neqk1_magic, rq3_magic, scale);
@@ -194,7 +192,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 32;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                     [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                     [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                          gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
                                                                        n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
                                                                        sb3, neqk1_magic, rq3_magic, scale);
@@ -205,7 +203,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 64;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                        [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                             gated_delta_net_sycl<sv, KDA>(
                                                 q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
                                                 sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
@@ -217,7 +215,7 @@ static void launch_gated_delta_net(const float *   q_d,
             {
                 constexpr int sv = 128;
                 stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
-                                        [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                                        [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
                                             gated_delta_net_sycl<sv, KDA>(
                                                 q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
                                                 sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
diff --git a/ggml/src/ggml-sycl/gemm.hpp b/ggml/src/ggml-sycl/gemm.hpp
index dcf6c7aee..c202da110 100644
--- a/ggml/src/ggml-sycl/gemm.hpp
+++ b/ggml/src/ggml-sycl/gemm.hpp
@@ -29,6 +29,9 @@ class DnnlGemmWrapper {
     static constexpr dt to_dt() {
         if constexpr (std::is_same_v<T, float>) return dt::f32;
         else if constexpr (std::is_same_v<T, sycl::half>) return dt::f16;
+#ifdef GGML_SYCL_HAS_BF16
+        else if constexpr (std::is_same_v<T, sycl::ext::oneapi::bfloat16>) return dt::bf16;
+#endif
         else static_assert(0);
     }
 
diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp
index 28be49397..f06147eee 100644
--- a/ggml/src/ggml-sycl/ggml-sycl.cpp
+++ b/ggml/src/ggml-sycl/ggml-sycl.cpp
@@ -104,6 +104,7 @@ static ggml_sycl_device_info ggml_sycl_init() {
 
         info.max_work_group_sizes[i] = prop.get_max_work_group_size();
         info.devices[i].max_wg_per_cu = info.max_work_group_sizes[i] / prop.get_max_compute_units();
+        info.devices[i].hw_info = get_device_hw_info(&device);
 
     }
 
@@ -411,11 +412,22 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer,
         assert(tensor->view_src->buffer->buft == buffer->buft);
         return GGML_STATUS_SUCCESS;
     }
-    if ((tensor->type == GGML_TYPE_Q4_0 || tensor->type == GGML_TYPE_Q4_K || tensor->type == GGML_TYPE_Q6_K) &&
-        !g_ggml_sycl_disable_optimize) {
-        ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{};
-        tensor->extra                 = extra;
-        ctx->tensor_extras.push_back(extra);  //used to release it when destroy ctx.
+
+    if (!g_ggml_sycl_disable_optimize) {
+        // set reorder extra buffer based on supported type
+        switch (tensor->type) {
+            case GGML_TYPE_Q4_0:
+            case GGML_TYPE_Q8_0:
+            case GGML_TYPE_Q4_K:
+            case GGML_TYPE_Q6_K:{
+                ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{};
+                tensor->extra                 = extra;
+                ctx->tensor_extras.push_back(extra);
+                break;
+            }
+            default:
+                break;
+        }
     }
 
     if (ggml_is_quantized(tensor->type)) {
@@ -627,6 +639,8 @@ static const ggml_backend_buffer_i ggml_backend_sycl_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_sycl_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_sycl_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_sycl_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_sycl_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_sycl_buffer_clear,
     /* .reset           = */ ggml_backend_sycl_buffer_reset,
@@ -1073,6 +1087,8 @@ static struct ggml_backend_buffer_i ggml_backend_sycl_split_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_sycl_split_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_sycl_split_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,
     /* .clear           = */ ggml_backend_sycl_split_buffer_clear,
     /* .reset           = */ NULL,
@@ -2161,6 +2177,31 @@ inline void ggml_sycl_op_mul_mat_sycl(
 #else
     bool use_fp16 = false;
 #endif
+
+#if GGML_SYCL_DNNL && defined(GGML_SYCL_HAS_BF16)
+    // Fast path for bf16 src0
+    if (src0->type == GGML_TYPE_BF16 && !g_ggml_sycl_disable_dnn && ggml_is_contiguous(src0) &&
+        row_diff == src0->ne[1]) {
+        using bf16_t = sycl::ext::oneapi::bfloat16;
+        ggml_sycl_pool_alloc<bf16_t> src1_as_bf16(ctx.pool(), src1_ncols*ne10);
+        if (src1->type != GGML_TYPE_BF16) {
+            const to_bf16_sycl_t to_bf16_sycl = ggml_get_to_bf16_sycl(src1->type, dst);
+            GGML_ASSERT(to_bf16_sycl != nullptr);
+            to_bf16_sycl(src1_ddf_i, src1_as_bf16.get(), src1_ncols*ne10, stream);
+        } else {
+            stream->memcpy(src1_as_bf16.get(), src1_ddf_i, src1_ncols*ne10*sizeof(bf16_t));
+        }
+        DnnlGemmWrapper::row_gemm(ctx, row_diff, src1_ncols, ne10,
+                                  src0_dd_i, DnnlGemmWrapper::to_dt<bf16_t>(),
+                                  src1_as_bf16.get(), DnnlGemmWrapper::to_dt<bf16_t>(),
+                                  dst_dd_i, DnnlGemmWrapper::to_dt<float>(), stream);
+        GGML_UNUSED(dst);
+        GGML_UNUSED(src1_ddq_i);
+        GGML_UNUSED(src1_padded_row_size);
+        return;
+    }
+#endif
+
     if ((src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && use_fp16 && ggml_is_contiguous(src0) &&
         row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT) {
         ggml_sycl_pool_alloc<sycl::half> src0_as_f16(ctx.pool());
@@ -3254,6 +3295,7 @@ inline bool ggml_sycl_supports_mmq(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_mul_mat_sycl(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
             return true;
         case GGML_TYPE_Q4_K:
         case GGML_TYPE_Q6_K:
@@ -3266,6 +3308,7 @@ inline bool ggml_sycl_supports_reorder_mul_mat_sycl(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_dmmv(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
             return true;
         default:
             return false;
@@ -3275,6 +3318,7 @@ inline bool ggml_sycl_supports_reorder_dmmv(enum ggml_type type) {
 inline bool ggml_sycl_supports_reorder_mmvq(enum ggml_type type) {
     switch (type) {
         case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q8_0:
         case GGML_TYPE_Q4_K:
         case GGML_TYPE_Q6_K:
             return true;
@@ -3330,9 +3374,55 @@ static inline void sycl_ext_free(dpct::queue_ptr stream, void * ptr) {
     sycl::free(ptr, *stream);
 }
 
-static void reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
+// RAII wrapper for temporary reorder buffers with optional host memory fallback.
+// When device allocation fails and GGML_SYCL_HOST_MEM_FALLBACK is enabled,
+// falls back to host memory so the reorder kernel can still run (over PCIe).
+// Device access to host memory requires Linux kernel 6.8+ (Ubuntu 26.04+).
+struct sycl_reorder_temp_buffer {
+    void *          ptr  = nullptr;
+    dpct::queue_ptr stream;
+
+    sycl_reorder_temp_buffer(dpct::queue_ptr stream, size_t size) : stream(stream) {
+        ptr = sycl_ext_malloc_device(stream, size);
+#ifdef GGML_SYCL_HOST_MEM_FALLBACK
+        if (!ptr) {
+            ptr = sycl::malloc_host(size, *stream);
+            if (ptr) {
+                host_fallback = true;
+                GGML_LOG_WARN("%s: device alloc of %zu bytes failed, using host memory fallback\n", __func__, size);
+            }
+        }
+#endif
+    }
+
+    ~sycl_reorder_temp_buffer() {
+        if (!ptr) {
+            return;
+        }
+        if (host_fallback) {
+            sycl::free(ptr, *stream);
+        } else {
+            sycl_ext_free(stream, ptr);
+        }
+    }
+
+    explicit operator bool() const { return ptr != nullptr; }
+
+    sycl_reorder_temp_buffer(const sycl_reorder_temp_buffer &)            = delete;
+    sycl_reorder_temp_buffer & operator=(const sycl_reorder_temp_buffer &) = delete;
+
+private:
+    bool host_fallback = false;
+};
+
+static bool reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
                             dpct::queue_ptr stream) {
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3361,16 +3451,60 @@ static void reorder_qw_q4_0(uint8_t * data_device, const int ncols, const int nr
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
 }
 
-static void reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
+static bool reorder_qw_q8_0(uint8_t * data_device, const int ncols, const int nrows, size_t size, size_t offset,
+                            dpct::queue_ptr stream) {
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
+
+    sycl::event copy_event;
+    SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
+    if (!g_ggml_sycl_use_async_mem_op) {
+        copy_event.wait();
+    }
+
+    GGML_ASSERT((size % sizeof(block_q8_0) == 0));
+    GGML_ASSERT((offset % sizeof(block_q8_0) == 0));
+    int offset_blks = offset / sizeof(block_q8_0);
+    auto qs_ptr = data_device + offset_blks * QK8_0;
+    auto d_ptr = (sycl::half*)(qs_ptr + ncols * nrows) + offset_blks;
+
+    auto reorder_event = stream->parallel_for(
+        size / sizeof(block_q8_0),
+            [=](auto i) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+            const block_q8_0* x = (const block_q8_0*)tmp_buf;
+            const int ib = i;
+
+            for (int j = 0; j < QK8_0; j++)
+            {
+                *((int8_t*)qs_ptr + ib * QK8_0 + j) = x[ib].qs[j];
+            }
+            *(d_ptr + ib) = x[ib].d;
+        });
+    if (!g_ggml_sycl_use_async_mem_op) {
+        reorder_event.wait_and_throw();
+    }
+    return true;
+}
+
+static bool reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
     GGML_ASSERT(size % sizeof(block_q4_K) == 0);
     GGML_ASSERT(offset % sizeof(block_q4_K) == 0);
 
     const int nblocks = size / sizeof(block_q4_K);
 
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3399,16 +3533,21 @@ static void reorder_qw_q4_k(uint8_t * data_device, size_t size, size_t offset, d
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
 }
 
-static void reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
+static bool reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, dpct::queue_ptr stream) {
     GGML_ASSERT(size % sizeof(block_q6_K) == 0);
     GGML_ASSERT(offset % sizeof(block_q6_K) == 0);
 
     const int nblocks = size / sizeof(block_q6_K);
 
-    uint8_t * tmp_buf = static_cast<uint8_t *>(sycl_ext_malloc_device(stream, size));
+    sycl_reorder_temp_buffer tmp(stream, size);
+    if (!tmp) {
+        GGML_LOG_WARN("%s: failed to allocate %zu bytes for reorder temp buffer, skipping reorder\n", __func__, size);
+        return false;
+    }
+    uint8_t * tmp_buf = static_cast<uint8_t *>(tmp.ptr);
 
     sycl::event copy_event;
     SYCL_CHECK(CHECK_TRY_ERROR(copy_event = stream->memcpy(tmp_buf, data_device, size)));
@@ -3447,10 +3586,10 @@ static void reorder_qw_q6_k(uint8_t * data_device, size_t size, size_t offset, d
     if (!g_ggml_sycl_use_async_mem_op) {
         reorder_event.wait_and_throw();
     }
-    sycl_ext_free(stream, tmp_buf);
+    return true;
 }
 
-static void reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
+static bool reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
     uint8_t * data_device = (uint8_t *) src0->data;
     size_t ncols = src0->ne[0];
     size_t nrows = src0->ne[1];
@@ -3458,17 +3597,16 @@ static void reorder_qw(const ggml_tensor * src0, dpct::queue_ptr stream) {
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
-            reorder_qw_q4_0(data_device, ncols, nrows, size, 0, stream);
-            break;
+            return reorder_qw_q4_0(data_device, ncols, nrows, size, 0, stream);
+        case GGML_TYPE_Q8_0:
+            return reorder_qw_q8_0(data_device, ncols, nrows, size, 0, stream);
         case GGML_TYPE_Q4_K:
-            reorder_qw_q4_k(data_device, size, 0, stream);
-            break;
+            return reorder_qw_q4_k(data_device, size, 0, stream);
         case GGML_TYPE_Q6_K:
-            reorder_qw_q6_k(data_device, size, 0, stream);
-            break;
+            return reorder_qw_q6_k(data_device, size, 0, stream);
         default:
             GGML_ABORT("reorder_qw() called with unsupported type");
-            break;
+            return false;
     }
 }
 
@@ -3508,8 +3646,9 @@ static void opt_for_reorder(ggml_backend_sycl_context * ctx, const ggml_tensor *
             break;
     }
 
-    reorder_qw(src0, ctx->stream());
-    extra->optimized_feature.reorder = true;  // Used to decode/dequan in next steps and avoid re-reordering
+    if (reorder_qw(src0, ctx->stream())) {
+        extra->optimized_feature.reorder = true;  // Used to decode/dequan in next steps and avoid re-reordering
+    }
 }
 
 
@@ -3565,9 +3704,16 @@ static void ggml_sycl_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor
     // Dispatch becomes obscure with the reorder, MMVQ when the reorder optimization
     // is enabled takes precedence over DMMV, the current if-else implementation
     // requires disabling DMMV if both conditions are met
+
     if (!g_ggml_sycl_prioritize_dmmv && ((should_reorder_tensor(ctx, dst) &&
                                           ggml_sycl_supports_reorder_mmvq(src0->type)))) {
-        use_dequantize_mul_mat_vec = use_dequantize_mul_mat_vec && !use_mul_mat_vec_q;
+      // Arc770 get benefit with Q4_0 by skipping it.
+      if (!(ggml_sycl_info().devices[ctx.device].hw_info.arch ==
+                gpu_arch::intel_gpu_acm_g10 &&
+            src0->type == GGML_TYPE_Q4_0)) {
+        use_dequantize_mul_mat_vec =
+            use_dequantize_mul_mat_vec && !use_mul_mat_vec_q;
+      }
     }
 
     if (!split && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
@@ -3670,6 +3816,51 @@ __dpct_inline__ static void k_copy_dst_from_contiguous(
     }
 }
 
+// Fused MoE TG fast path. Returns false to fall back to the per-expert loop below.
+static bool ggml_sycl_mul_mat_id_mmvq_fused(
+    ggml_backend_sycl_context & ctx, const ggml_tensor * src0,
+    const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst)
+{
+    const int64_t ne10 = src1->ne[0];
+    const int64_t ne11 = src1->ne[1];
+    const int64_t ne12 = src1->ne[2];
+    if (ne12 != 1) return false;
+    if (src1->type != GGML_TYPE_F32 || dst->type != GGML_TYPE_F32) return false;
+    if (ne10 != src0->ne[0] || ne10 % QK8_1 != 0) return false;
+    if (!ggml_is_contiguous(src1)) return false;
+
+    // Reorder layout not supported; fall back.
+    const ggml_tensor_extra_gpu * src0_extra =
+        static_cast<const ggml_tensor_extra_gpu *>(src0->extra);
+    if (src0_extra && src0_extra->optimized_feature.reorder) return false;
+
+    const int64_t n_ids_per_group = ids->ne[0];
+    if (ids->ne[1] != 1) return false;
+    if (ne11 != 1 && ne11 != n_ids_per_group) return false;
+
+    const queue_ptr stream           = ctx.stream();
+    const int       src1_padded_cols = GGML_PAD((int) ne10, MATRIX_ROW_PADDING);
+    const int       n_experts_used   = (int) n_ids_per_group;
+    const int       nrows            = (int) src0->ne[1];
+
+    ggml_sycl_pool_alloc<char> src1_q8_alloc(ctx.pool(),
+        (size_t) ne11 * src1_padded_cols * sizeof(block_q8_1) / QK8_1);
+    char * src1_ddq = src1_q8_alloc.get();
+    quantize_row_q8_1_sycl<quantize_q8_1>(
+        (const float *) src1->data, src1_ddq, (int) ne10, (int) ne11,
+        src1_padded_cols, stream);
+
+    const size_t bytes_per_qrow = (size_t) src1_padded_cols * sizeof(block_q8_1) / QK8_1;
+    const size_t src1_row_stride = (ne11 == 1) ? 0 : bytes_per_qrow;
+
+    return ggml_sycl_mul_mat_vec_q_id(
+        src0->type, src0->data, src1_ddq, (const int32_t *) ids->data,
+        (float *) dst->data, (int) ne10, nrows, n_experts_used,
+        /*expert_weight_stride=*/ src0->nb[2],
+        /*dst_row_stride=*/ dst->nb[1],
+        src1_row_stride, stream);
+}
+
 static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx,
                                  ggml_tensor *dst) try {
     scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/3);
@@ -3685,6 +3876,12 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx,
     const int64_t n_as = ne02;
     const int64_t n_ids = ids->ne[0];
 
+    if (ne12 == 1) {
+        if (ggml_sycl_mul_mat_id_mmvq_fused(ctx, src0, src1, ids, dst)) {
+            return;
+        }
+    }
+
     std::vector<char> ids_host(ggml_nbytes(ids));
     const char * ids_dev = (const char *) ids->data;
 
@@ -3735,8 +3932,9 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx,
             }
         }
     } else {
-        ggml_sycl_pool_alloc<char> src1_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(src1));
-        ggml_sycl_pool_alloc<char>  dst_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(dst));
+        const int64_t n_routed_rows = ids->ne[1] * n_ids;
+        ggml_sycl_pool_alloc<char> src1_contiguous(ctx.pool(), sizeof(float)*n_routed_rows*ne10);
+        ggml_sycl_pool_alloc<char>  dst_contiguous(ctx.pool(), sizeof(float)*n_routed_rows*ne0);
 
         src1_row.data = src1_contiguous.get();
         dst_row.data  =  dst_contiguous.get();
@@ -4502,6 +4700,8 @@ static ggml_backend_i ggml_backend_sycl_interface = {
     /* .free                    = */ ggml_backend_sycl_free,
     /* .set_tensor_async        = */ ggml_backend_sycl_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_sycl_get_tensor_async,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL, // ggml_backend_sycl_cpy_tensor_async,
                                            // // TODO: update for the new
                                            // interface
@@ -4670,12 +4870,19 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
                 struct ggml_tensor * a = op->src[0];
                 struct ggml_tensor * b = op->src[1];
 
+                // disable Q1_0 until implementation
+                if (a->type == GGML_TYPE_Q1_0 || b->type == GGML_TYPE_Q1_0) {
+                    return false;
+                }
+
                 if (a->ne[3] != b->ne[3]) {
                     return false;
                 }
 
                 ggml_type src0_type = op->src[0]->type;
 
+
+
                 // TODO: The configuration below needs more work to be supported with oneDNN
                 if (ggml_is_permuted(a) && !ggml_is_contiguous(a) &&
                     a->ne[2] > 1 && a->ne[3] > 1 && src0_type == GGML_TYPE_F16) {
diff --git a/ggml/src/ggml-sycl/mmvq.cpp b/ggml/src/ggml-sycl/mmvq.cpp
index 5abc50fab..8fa2198f3 100644
--- a/ggml/src/ggml-sycl/mmvq.cpp
+++ b/ggml/src/ggml-sycl/mmvq.cpp
@@ -537,9 +537,9 @@ static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx,
 static void reorder_mul_mat_vec_q4_0_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
                                                     const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK4_0 == 0);
-    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -679,6 +679,25 @@ static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
     }
 }
 
+static void reorder_mul_mat_vec_q8_0_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
+                                                    const int nrows, dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK8_0 == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
+
+    const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
+    const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
+
+    stream->submit([&](sycl::handler & cgh) {
+        cgh.parallel_for(sycl::nd_range<3>(global_size, workgroup_size),
+                         [=](sycl::nd_item<3> nd_item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                             mul_mat_vec_q_reorder<reorder_vec_dot_q_sycl<GGML_TYPE_Q8_0>>(vx, vy, dst, ncols, nrows,
+                                                                                           nd_item);
+                         });
+    });
+}
+
 static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
@@ -779,9 +798,9 @@ static void reorder_mul_mat_vec_q4_k_q8_1_sycl(const void * vx, const void * vy,
     const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
 
-    const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -823,9 +842,9 @@ static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
 static void reorder_mul_mat_vec_q6_k_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
                                                const int nrows, dpct::queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
-    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y);
-    constexpr size_t num_subgroups = 16;
-    GGML_ASSERT(block_num_y % num_subgroups == 0);
+    // Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
+    constexpr size_t num_subgroups = WARP_SIZE;
+    const int        block_num_y   = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups) * (int) num_subgroups;
 
     const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
     const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
@@ -1101,7 +1120,13 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
                 mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
                 break;
             case GGML_TYPE_Q8_0:
-                mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
+                    ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
+                    GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q8_0_q8_1_sycl\n");
+                    reorder_mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                } else {
+                    mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
+                }
                 break;
             case GGML_TYPE_Q2_K:
                 mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
@@ -1174,3 +1199,154 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
     GGML_UNUSED(src1_ddf_i);
     GGML_UNUSED(ctx);
 }
+
+// src1_row_stride: 0 for shared src1 (gate/up proj), else per-expert stride (down proj).
+template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_sycl_t vec_dot_q_sycl>
+static void mul_mat_vec_q_moe(
+    const void * __restrict__ vx_base, const void * __restrict__ vy_base,
+    float * __restrict__ dst_base, const int32_t * __restrict__ ids_dev,
+    const int ncols, const int nrows,
+    const size_t expert_weight_stride, const size_t dst_row_stride,
+    const size_t src1_row_stride,
+    const sycl::nd_item<3> & item_ct1) {
+
+    const int expert_idx = item_ct1.get_group(1);
+    const int i02        = ids_dev[expert_idx];
+
+    const char * vx = (const char *) vx_base + (size_t) i02 * expert_weight_stride;
+    const char * vy = (const char *) vy_base + (size_t) expert_idx * src1_row_stride;
+    float *      dst = (float *) ((char *) dst_base + (size_t) expert_idx * dst_row_stride);
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) + item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int     blocks_per_row  = ncols / qk;
+    constexpr int blocks_per_warp = (vdr * WARP_SIZE + qi - 1) / qi;
+
+    float tmp = 0.0f;
+
+    const block_q_t *  x = (const block_q_t *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row; i += blocks_per_warp) {
+        const int ibx = row * blocks_per_row + i;
+        const int iby = i * (qk / QK8_1);
+
+        for (size_t elem = 0; elem < qi / vdr; elem += WARP_SIZE) {
+            const int iqs = elem + vdr * (item_ct1.get_local_id(2) % (qi / vdr));
+            tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs);
+        }
+    }
+
+#pragma unroll
+    for (int mask = WARP_SIZE / 2; mask > 0; mask >>= 1) {
+        tmp += dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_sycl_t vec_dot_q_sycl>
+static void launch_mul_mat_vec_q_moe(
+    const void * vx_base, const void * vy, const int32_t * ids_dev,
+    float * dst_base, const int ncols, const int nrows, const int n_experts_used,
+    const size_t expert_weight_stride, const size_t dst_row_stride,
+    const size_t src1_row_stride,
+    dpct::queue_ptr stream) {
+    const int            block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, (unsigned) n_experts_used, (unsigned) block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    stream->submit([&](sycl::handler & cgh) {
+        cgh.parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+                mul_mat_vec_q_moe<qk, qi, block_q_t, vdr, vec_dot_q_sycl>(
+                    vx_base, vy, dst_base, ids_dev, ncols, nrows,
+                    expert_weight_stride, dst_row_stride, src1_row_stride, item);
+            });
+    });
+}
+
+bool ggml_sycl_mul_mat_vec_q_id(
+    enum ggml_type     src0_type,
+    const void *       vx_base,
+    const void *       vy,
+    const int32_t *    ids_dev,
+    float *            dst_base,
+    int                ncols,
+    int                nrows,
+    int                n_experts_used,
+    size_t             expert_weight_stride,
+    size_t             dst_row_stride,
+    size_t             src1_row_stride,
+    dpct::queue_ptr    stream) {
+    switch (src0_type) {
+        case GGML_TYPE_Q4_0:
+            launch_mul_mat_vec_q_moe<QK4_0, QI4_0, block_q4_0, VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q4_1:
+            launch_mul_mat_vec_q_moe<QK4_1, QI4_1, block_q4_1, VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q5_0:
+            launch_mul_mat_vec_q_moe<QK5_0, QI5_0, block_q5_0, VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q5_1:
+            launch_mul_mat_vec_q_moe<QK5_1, QI5_1, block_q5_1, VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q8_0:
+            launch_mul_mat_vec_q_moe<QK8_0, QI8_0, block_q8_0, VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q2_K:
+            launch_mul_mat_vec_q_moe<QK_K, QI2_K, block_q2_K, VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q3_K:
+            launch_mul_mat_vec_q_moe<QK_K, QI3_K, block_q3_K, VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q4_K:
+            launch_mul_mat_vec_q_moe<QK_K, QI4_K, block_q4_K, VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q5_K:
+            launch_mul_mat_vec_q_moe<QK_K, QI5_K, block_q5_K, VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_Q6_K:
+            launch_mul_mat_vec_q_moe<QK_K, QI6_K, block_q6_K, VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_MXFP4:
+            launch_mul_mat_vec_q_moe<QK_MXFP4, QI_MXFP4, block_mxfp4, VDR_MXFP4_Q8_1_MMVQ, vec_dot_mxfp4_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        case GGML_TYPE_NVFP4:
+            launch_mul_mat_vec_q_moe<QK_NVFP4, QI_NVFP4, block_nvfp4, VDR_NVFP4_Q8_1_MMVQ, vec_dot_nvfp4_q8_1>(
+                vx_base, vy, ids_dev, dst_base, ncols, nrows, n_experts_used,
+                expert_weight_stride, dst_row_stride, src1_row_stride, stream);
+            return true;
+        default:
+            return false;
+    }
+}
diff --git a/ggml/src/ggml-sycl/mmvq.hpp b/ggml/src/ggml-sycl/mmvq.hpp
index 049b43d45..d674dc1d6 100644
--- a/ggml/src/ggml-sycl/mmvq.hpp
+++ b/ggml/src/ggml-sycl/mmvq.hpp
@@ -24,4 +24,20 @@ void ggml_sycl_op_mul_mat_vec_q(
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
     const dpct::queue_ptr &stream);
 
+// Requires standard (non-reorder) block layout for src0.
+// Returns false if src0_type isn't handled; caller should fall back.
+bool ggml_sycl_mul_mat_vec_q_id(
+    enum ggml_type     src0_type,
+    const void *       vx_base,             // start of stacked expert weights
+    const void *       vy,                  // pre-quantized src1 (Q8_1)
+    const int32_t *    ids_dev,             // device-side int32, length n_experts_used
+    float *            dst_base,
+    int                ncols,
+    int                nrows,
+    int                n_experts_used,
+    size_t             expert_weight_stride, // bytes between experts in vx_base
+    size_t             dst_row_stride,       // bytes between dst rows
+    size_t             src1_row_stride,      // 0 = shared src1, else per-expert stride in bytes
+    dpct::queue_ptr    stream);
+
 #endif // GGML_SYCL_MMVQ_HPP
diff --git a/ggml/src/ggml-sycl/quants.hpp b/ggml/src/ggml-sycl/quants.hpp
index 14490fea5..1f5b62740 100644
--- a/ggml/src/ggml-sycl/quants.hpp
+++ b/ggml/src/ggml-sycl/quants.hpp
@@ -105,6 +105,27 @@ template <> struct block_q_t<GGML_TYPE_Q6_K> {
     static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }
 };
 
+template <> struct block_q_t<GGML_TYPE_Q8_0> {
+    struct traits {
+        static constexpr uint32_t qk       = QK8_0;      // 32
+        static constexpr uint32_t qi       = QI8_0;      // 8
+        static constexpr uint32_t qr       = QR8_0;      // 1
+        static constexpr uint32_t vdr_mmvq = 4;
+    };
+
+    // Q8_0 reorder layout: [qs0|qs1|...|qsN][d0|d1|...|dN]
+    // Each block has 32 int8 weights (32 bytes) followed by all scales
+    static constexpr std::pair<int, int> get_block_offset(const int block_index, const int /* nblocks */) {
+        return { block_index * QK8_0, 0 };
+    }
+
+    static constexpr std::pair<int, int> get_d_offset(int nrows, int ncols, const int block_index) {
+        return { (ncols * nrows) + block_index * sizeof(ggml_half), 0 };
+    }
+
+    static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }  // 1
+};
+
 }  // namespace ggml_sycl_reordered
 
 #endif  // GGML_SYCL_QUANTS_HPP
diff --git a/ggml/src/ggml-sycl/set_rows.cpp b/ggml/src/ggml-sycl/set_rows.cpp
index a641c1009..8fb419435 100644
--- a/ggml/src/ggml-sycl/set_rows.cpp
+++ b/ggml/src/ggml-sycl/set_rows.cpp
@@ -4,7 +4,11 @@
 namespace utils {
 template<typename T>
 static constexpr bool is_arithmetic_v() {
-    return std::is_arithmetic_v<T> || std::is_same_v<T, sycl::half> || std::is_same_v<T, sycl::ext::oneapi::bfloat16>;
+    return std::is_arithmetic_v<T> || std::is_same_v<T, sycl::half>
+#ifdef GGML_SYCL_HAS_BF16
+        || std::is_same_v<T, sycl::ext::oneapi::bfloat16>
+#endif
+        ;
 }
 }
 
@@ -181,6 +185,7 @@ static void set_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor * s
                 stream
             );
             break;
+#ifdef GGML_SYCL_HAS_BF16
         case GGML_TYPE_BF16:
             set_rows_sycl<TIn, TIdx, sycl::ext::oneapi::bfloat16>(
                 src0_d, src1_d, (char *)dst->data,
@@ -193,6 +198,7 @@ static void set_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor * s
                 stream
             );
             break;
+#endif
         case GGML_TYPE_Q8_0:
             set_rows_sycl_q<TIdx, block_q8_0, QK8_0, cpy_blck_f32_q8_0>(src0_d, src1_d, (block_q8_0 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
             break;
diff --git a/ggml/src/ggml-sycl/sycl_hw.cpp b/ggml/src/ggml-sycl/sycl_hw.cpp
index 704114003..03b0c37a3 100644
--- a/ggml/src/ggml-sycl/sycl_hw.cpp
+++ b/ggml/src/ggml-sycl/sycl_hw.cpp
@@ -1,15 +1,67 @@
 #include "sycl_hw.hpp"
 
-// TODO: currently not used
-/*
-sycl_hw_info get_device_hw_info(sycl::device *device_ptr) {
-  sycl_hw_info res;
-  int32_t id = device_ptr->get_info<sycl::ext::intel::info::device::device_id>();
-  res.device_id = id;
+using namespace std;
 
-  syclex::architecture arch = device_ptr->get_info<syclex::info::device::architecture>();
-  res.arch = arch;
+/*defined in
+* /opt/intel/oneapi/compiler/latest/include/sycl/ext/oneapi/experimental/device_architecture.def
+*/
+static map<gpu_arch, std::pair<const char*, sycl_intel_gpu_family>> arch2name = {
+    {gpu_arch::intel_gpu_bdw,     {"intel_gpu_bdw",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_skl,     {"intel_gpu_skl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_kbl,     {"intel_gpu_kbl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_cfl,     {"intel_gpu_cfl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_apl,     {"intel_gpu_apl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_glk,     {"intel_gpu_glk",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_whl,     {"intel_gpu_whl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_aml,     {"intel_gpu_aml",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_cml,     {"intel_gpu_cml",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_icllp,   {"intel_gpu_icllp",   GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_ehl,     {"intel_gpu_ehl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_tgllp,   {"intel_gpu_tgllp",   GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_rkl,     {"intel_gpu_rkl",     GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_adl_s,   {"intel_gpu_adl_s",   GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_adl_p,   {"intel_gpu_adl_p",   GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_adl_n,   {"intel_gpu_adl_n",   GPU_FAMILY_IGPU_NON_XE}},
+    {gpu_arch::intel_gpu_dg1,     {"intel_gpu_dg1",     GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_acm_g10, {"intel_gpu_acm_g10", GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_acm_g11, {"intel_gpu_acm_g11", GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_acm_g12, {"intel_gpu_acm_g12", GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_pvc,     {"intel_gpu_pvc",     GPU_FAMILY_DGPU_CLOUD}},
+    {gpu_arch::intel_gpu_pvc_vg,  {"intel_gpu_pvc_vg",  GPU_FAMILY_DGPU_CLOUD}},
+    {gpu_arch::intel_gpu_mtl_u,   {"intel_gpu_mtl_u",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_mtl_h,   {"intel_gpu_mtl_h",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_arl_h,   {"intel_gpu_arl_h",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_bmg_g21, {"intel_gpu_bmg_g21", GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_bmg_g31, {"intel_gpu_bmg_g31", GPU_FAMILY_DGPU_CLIENT_GAME}},
+    {gpu_arch::intel_gpu_lnl_m,   {"intel_gpu_lnl_m",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_ptl_h,   {"intel_gpu_ptl_h",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_ptl_u,   {"intel_gpu_ptl_u",   GPU_FAMILY_IGPU_XE}},
+    {gpu_arch::intel_gpu_wcl,     {"intel_gpu_wcl",     GPU_FAMILY_IGPU_XE}}
+};
+
+
+sycl_hw_info get_device_hw_info(sycl::device* device_ptr) {
+    sycl_hw_info res;
+    int32_t id =
+        device_ptr->get_info<sycl::ext::intel::info::device::device_id>();
+    res.device_id = id;
+
+    res.name = device_ptr->get_info<sycl::info::device::name>();
 
-  return res;
+    syclex::architecture arch =
+        device_ptr->get_info<syclex::info::device::architecture>();
+    res.arch = arch;
+
+    map<syclex::architecture,
+        std::pair<const char*, sycl_intel_gpu_family>>::iterator it =
+        arch2name.find(res.arch);
+    if (it != arch2name.end()) {
+        res.arch_name = it->second.first;
+        res.gpu_family = it->second.second;
+    } else {
+        res.arch_name = "unknown";
+        res.gpu_family = GPU_FAMILY_UKNOWN;
+    }
+
+    return res;
 }
-*/
diff --git a/ggml/src/ggml-sycl/sycl_hw.hpp b/ggml/src/ggml-sycl/sycl_hw.hpp
index 36b140bf0..a5d204625 100644
--- a/ggml/src/ggml-sycl/sycl_hw.hpp
+++ b/ggml/src/ggml-sycl/sycl_hw.hpp
@@ -9,18 +9,30 @@
 #include <sycl/sycl.hpp>
 
 namespace syclex = sycl::ext::oneapi::experimental;
+using gpu_arch = sycl::ext::oneapi::experimental::architecture;
+
+// It's used to mark the GPU computing capacity
+// The value must flow the order of performance.
+enum sycl_intel_gpu_family {
+  GPU_FAMILY_UKNOWN = -1,
+  // iGPU without Xe core, before Meteor Lake iGPU(Xe)
+  GPU_FAMILY_IGPU_NON_XE = 0,
+  // iGPU with Xe core, Meteor Lake iGPU or newer.
+  GPU_FAMILY_IGPU_XE = 1,
+  // dGPU for gaming in client/data center (DG1/FLex 140 or newer).
+  GPU_FAMILY_DGPU_CLIENT_GAME = 2,
+  // dGPU for AI in cloud, PVC or newer.
+  GPU_FAMILY_DGPU_CLOUD = 3
+};
 
-// TODO: currently not used
-/*
 struct sycl_hw_info {
   syclex::architecture arch;
+  const char* arch_name;
   int32_t device_id;
+  std::string name;
+  sycl_intel_gpu_family gpu_family;
 };
 
-bool is_in_vector(std::vector<int> &vec, int item);
-
 sycl_hw_info get_device_hw_info(sycl::device *device_ptr);
-*/
-
 
 #endif // SYCL_HW_HPP
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp
new file mode 100644
index 000000000..9a6a18775
--- /dev/null
+++ b/ggml/src/ggml-sycl/template-instances/fattn-tile-instance-dkq512-dv512.cpp
@@ -0,0 +1,6 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../fattn-tile.hpp"
+
+DECL_FATTN_TILE_CASE(512, 512);
+
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
index 32cf4f285..43ef94c11 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
index a61a19021..9404061d4 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
index 63b74fb34..a8bb9f52d 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
index 46e2d9853..7d61f6ab0 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
index 7aabb6ff6..753bae09f 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
index 148ea217f..546a93b25 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-f16-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_F16, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_F16, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_F16, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_F16, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
index 4b169dbcd..53c8c2f26 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
index 79f530b18..5b409c55f 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
index 2f7db51ce..8c4ef588d 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
index 9e3bf0b14..83f0a0755 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
index 18081879c..9df9b03bb 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
index 1c387b0d8..6980c2a65 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
index f005b3762..bd61bc1dc 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
index 3553b1cdd..492e229a5 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
index 687ec5671..30f88a2eb 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
index 2663bfe74..db7666360 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
index 641b7c7ae..1dbcc8a85 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
index 3d3181d47..d30996a62 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q4_1-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q4_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
index 85d5026ad..bc0f635d9 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
index 1e81401a2..9e0378107 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
index 54251473f..a8535ac91 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
index d418c1fb2..43d4fae9a 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
index 0f26cfabd..23335a416 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
index 4fb987235..52550a337 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
index 85b79cd19..4651f14c0 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
index 7348323b2..2310fd879 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
index f19af2aa0..d2494048b 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
index d7075bac6..be3a1fe97 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
index 627f9a577..be0a89409 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
index 23304eecd..6781efcb0 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q5_1-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q5_1, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
index 95acb5d4f..43a70ae35 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-f16.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_F16);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_F16);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_F16);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
index 5e88f4bab..fa7eb8163 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
index 69f297feb..79d9cfbee 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q4_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q4_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
index 455842a94..86befd5d3 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q5_0);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
index f7ef73915..c2f619b0b 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q5_1.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1);
diff --git a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
index 1c633bdf2..7cf31f8b8 100644
--- a/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
+++ b/ggml/src/ggml-sycl/template-instances/fattn-vec-instance-q8_0-q8_0.cpp
@@ -5,3 +5,4 @@
 DECL_FATTN_VEC_CASE( 64, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(128, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
 DECL_FATTN_VEC_CASE(256, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
+DECL_FATTN_VEC_CASE(512, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0);
diff --git a/ggml/src/ggml-sycl/upscale.cpp b/ggml/src/ggml-sycl/upscale.cpp
index 18c743de4..e42cb419d 100644
--- a/ggml/src/ggml-sycl/upscale.cpp
+++ b/ggml/src/ggml-sycl/upscale.cpp
@@ -272,7 +272,7 @@ static void upscale_f32_sycl(const float *   x,
         sycl::nd_range<3>(
             sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
              sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-        [=](sycl::nd_item<3> item_ct1) {
+        [=](sycl::nd_item<3> /*item_ct1*/) {
             upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3);
         });
 }
@@ -304,7 +304,7 @@ static void upscale_f32_bilinear_sycl(const float *   x,
             sycl::nd_range<3>(
                 sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                 sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
+            [=](sycl::nd_item<3> /*item_ct1*/) {
                 upscale_f32_bilinear_antialias(
                     x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
                     ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
@@ -314,7 +314,7 @@ static void upscale_f32_bilinear_sycl(const float *   x,
             sycl::nd_range<3>(
                 sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                 sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
+            [=](sycl::nd_item<3> /*item_ct1*/) {
                 upscale_f32_bilinear(
                     x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst,
                     ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
@@ -349,7 +349,7 @@ static void upscale_f32_bicubic_sycl(const float *   x,
                 sycl::nd_range<3>(
                     sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
                     sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
-                [=](sycl::nd_item<3> item_ct1) {
+                [=](sycl::nd_item<3> /*item_ct1*/) {
                     upscale_f32_bicubic(
                         x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
                         ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
diff --git a/ggml/src/ggml-sycl/vecdotq.hpp b/ggml/src/ggml-sycl/vecdotq.hpp
index eab9850ae..9253168e5 100644
--- a/ggml/src/ggml-sycl/vecdotq.hpp
+++ b/ggml/src/ggml-sycl/vecdotq.hpp
@@ -351,6 +351,46 @@ template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q4_0> {
     };
 };
 
+template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q8_0> {
+    static constexpr ggml_type gtype = GGML_TYPE_Q8_0;
+
+    using q8_0_block  = ggml_sycl_reordered::block_q_t<GGML_TYPE_Q8_0>;
+    using q8_0_traits = typename q8_0_block::traits;
+
+    __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int * v, const int * u, const float & d8_0, const sycl::half2 & ds8) {
+        int sumi = 0;
+
+#pragma unroll
+        for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) {
+            // Q8_0 values are signed int8, no nibble extraction needed
+            // Direct dp4a: each int packs 4 int8 values
+            sumi = dpct::dp4a(v[i], u[i], sumi);
+        }
+
+        const sycl::float2 ds8f = ds8.convert<float, sycl::rounding_mode::automatic>();
+
+        // Q8_0 has no bias term (values are signed), so just scale
+        return d8_0 * sumi * ds8f.x();
+    }
+
+    __dpct_inline__ float operator()(const void * __restrict__ vbq, const std::pair<int, int> ibx_offset,
+                                     const std::pair<int, int> d_offset, const int8_t * q8_1_quant_ptr,
+                                     const sycl::half2 * q8_1_ds, const int & iqs) {
+        const int8_t * bq8_0 = static_cast<const int8_t *>(vbq) + ibx_offset.first;
+        const ggml_half d = *(reinterpret_cast<const ggml_half *>(static_cast<const uint8_t *>(vbq) + d_offset.first));
+        int             v[q8_0_traits::vdr_mmvq];
+        int             u[q8_0_traits::vdr_mmvq];
+
+#pragma unroll
+        for (size_t i = 0; i < q8_0_traits::vdr_mmvq; ++i) {
+            v[i] = get_int_from_int8(bq8_0, iqs + i);
+            u[i] = get_int_from_int8_aligned(q8_1_quant_ptr, iqs + i);
+        }
+
+        return vec_dot_q8_0_q8_1_impl(v, u, d, *q8_1_ds);
+    };
+};
+
 static inline float vec_dot_q4_K_q8_1_common(const int * __restrict__ q4, const uint16_t * __restrict__ scales,
                                              const ggml_half2 & dm, const block_q8_1 * __restrict__ bq8_1,
                                              const int &        iqs) {
diff --git a/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp b/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
index 6b95362dd..b6c561cd6 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend-buffer.cpp
@@ -101,6 +101,8 @@ const ggml_backend_buffer_i ggml_backend_remoting_buffer_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_remoting_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_remoting_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_remoting_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_remoting_buffer_clear,
     /* .reset           = */ NULL,
@@ -113,6 +115,8 @@ const ggml_backend_buffer_i ggml_backend_remoting_buffer_from_ptr_interface = {
     /* .memset_tensor   = */ NULL,
     /* .set_tensor      = */ ggml_backend_remoting_buffer_set_tensor_from_ptr,
     /* .get_tensor      = */ ggml_backend_remoting_buffer_get_tensor_from_ptr,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ ggml_backend_remoting_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_remoting_buffer_clear,
     /* .reset           = */ NULL,
diff --git a/ggml/src/ggml-virtgpu/ggml-backend.cpp b/ggml/src/ggml-virtgpu/ggml-backend.cpp
index a63ee2b9d..12756c928 100644
--- a/ggml/src/ggml-virtgpu/ggml-backend.cpp
+++ b/ggml/src/ggml-virtgpu/ggml-backend.cpp
@@ -34,6 +34,8 @@ static ggml_backend_i ggml_backend_remoting_interface = {
     /* .free                    = */ ggml_backend_remoting_free,
     /* .set_tensor_async        = */ NULL,  // ggml_backend_remoting_set_tensor_async,
     /* .get_tensor_async        = */ NULL,  // ggml_backend_remoting_get_tensor_async,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,  // ggml_backend_remoting_cpy_tensor_async,
     /* .synchronize             = */ NULL,  // ggml_backend_remoting_synchronize,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml-virtgpu/virtgpu-shm.cpp b/ggml/src/ggml-virtgpu/virtgpu-shm.cpp
index ce6b3b3e6..7f2c2322d 100644
--- a/ggml/src/ggml-virtgpu/virtgpu-shm.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu-shm.cpp
@@ -1,6 +1,7 @@
 #include "virtgpu-shm.h"
 
 #include "virtgpu.h"
+#include "ggml-remoting.h"
 
 #include <assert.h>
 
diff --git a/ggml/src/ggml-virtgpu/virtgpu.cpp b/ggml/src/ggml-virtgpu/virtgpu.cpp
index a84a77399..e3ae1cc75 100644
--- a/ggml/src/ggml-virtgpu/virtgpu.cpp
+++ b/ggml/src/ggml-virtgpu/virtgpu.cpp
@@ -1,4 +1,5 @@
 #include "virtgpu.h"
+#include "ggml-remoting.h"
 
 #include <stdio.h>
 #include <unistd.h>
diff --git a/ggml/src/ggml-virtgpu/virtgpu.h b/ggml/src/ggml-virtgpu/virtgpu.h
index f82d8fb50..6b8de5838 100644
--- a/ggml/src/ggml-virtgpu/virtgpu.h
+++ b/ggml/src/ggml-virtgpu/virtgpu.h
@@ -18,8 +18,6 @@
 
 #include <cstring>
 
-#include "ggml-remoting.h"
-
 #define VIRGL_RENDERER_UNSTABLE_APIS 1
 #include "apir_hw.h"
 #include <drm/virtgpu_drm.h>
diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
index 15ed5b2a7..423e01dbf 100644
--- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
+++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
@@ -21,6 +21,20 @@ DispatchLoaderDynamic & ggml_vk_default_dispatcher();
 
 #include <vulkan/vulkan.hpp>
 
+// SPIR-V Headers: different SDK installations expose different include paths.
+// LunarG Vulkan SDK on Windows typically provides <spirv-headers/spirv.hpp>.
+// Linux packages, MSYS2 and MinGW often use the Khronos layout <spirv/unified1/spirv.hpp>.
+#if __has_include(<spirv/unified1/spirv.hpp>)
+#    include <spirv/unified1/spirv.hpp>
+#elif __has_include(<spirv-headers/spirv.hpp>)
+#    include <spirv-headers/spirv.hpp>
+#elif __has_include(<spirv.hpp>)
+#    include <spirv.hpp>
+#else
+     // Fallback to let the compiler throw a standard "file not found" error
+#    include <spirv/unified1/spirv.hpp>
+#endif
+
 #include <algorithm>
 #include <cmath>
 #include <iomanip>
@@ -97,8 +111,6 @@ static bool is_pow2(uint32_t x) { return x > 1 && (x & (x-1)) == 0; }
 
 #define VK_DEVICE_DESCRIPTOR_POOL_SIZE 256
 
-#define GGML_VK_MAX_NODES 8192
-
 #define VK_CHECK(err, msg)                                          \
     do {                                                            \
         vk::Result err_ = (err);                                    \
@@ -426,10 +438,12 @@ struct vk_fa_pipeline_state {
     bool f32acc;
     uint32_t flags;
     uint32_t limit_occupancy_shmem;
+    ggml_type k_type;
+    ggml_type v_type;
 
     bool operator<(const vk_fa_pipeline_state &b) const {
-        return std::tie(HSK, HSV, Br, Bc, D_split, row_split, shmem_staging, path, workgroup_size, subgroup_size, aligned, f32acc, flags, limit_occupancy_shmem) <
-               std::tie(b.HSK, b.HSV, b.Br, b.Bc, b.D_split, b.row_split, b.shmem_staging, b.path, b.workgroup_size, b.subgroup_size, b.aligned, b.f32acc, b.flags, b.limit_occupancy_shmem);
+        return std::tie(HSK, HSV, Br, Bc, D_split, row_split, shmem_staging, path, workgroup_size, subgroup_size, aligned, f32acc, flags, limit_occupancy_shmem, k_type, v_type) <
+               std::tie(b.HSK, b.HSV, b.Br, b.Bc, b.D_split, b.row_split, b.shmem_staging, b.path, b.workgroup_size, b.subgroup_size, b.aligned, b.f32acc, b.flags, b.limit_occupancy_shmem, b.k_type, b.v_type);
     }
 };
 
@@ -785,6 +799,7 @@ struct vk_device_struct {
     vk_pipeline pipeline_arange_f32;
 
     vk_pipeline pipeline_fill_f32;
+    vk_pipeline pipeline_fill_f16;
 
     vk_pipeline pipeline_geglu[2];
     vk_pipeline pipeline_reglu[2];
@@ -1387,7 +1402,7 @@ struct vk_op_im2col_push_constants {
     uint32_t IW; uint32_t IH;
     uint32_t OW; uint32_t OH;
     uint32_t KW; uint32_t KH;
-    uint32_t pelements;
+    uint32_t OH_batch;
     uint32_t CHW;
     int32_t s0; int32_t s1;
     int32_t p0; int32_t p1;
@@ -2131,6 +2146,66 @@ static void ggml_vk_create_pipeline_func(vk_device& device, vk_pipeline& pipelin
     GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT
 
     vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast<const uint32_t *>(spv_data));
+
+    // Patch SPIR-V to enable RTE rounding for FP16, avoiding the need for
+    // separate shader variants compiled with -DRTE16.
+    std::vector<uint32_t> spv;
+    if (device->float_controls_rte_fp16) {
+        const uint32_t* spv_words = reinterpret_cast<const uint32_t *>(spv_data);
+        size_t word_count = spv_size / sizeof(uint32_t);
+        spv.assign(spv_words, spv_words + word_count);
+
+        // Find insertion points respecting SPIR-V layout order:
+        //   Header(5) -> OpCapability -> OpExtension -> ... -> OpEntryPoint -> OpExecutionMode -> ...
+        size_t pos = 5; // skip header
+        size_t cap_insert_pos = pos;
+        size_t ext_insert_pos = pos;
+        size_t exec_insert_pos = pos;
+        uint32_t entry_point_id = 0;
+
+        while (pos < spv.size()) {
+            uint32_t opcode = spv[pos] & spv::OpCodeMask;
+            uint32_t len    = spv[pos] >> spv::WordCountShift;
+            if (len == 0) break;
+
+            if (opcode == spv::OpCapability) {
+                cap_insert_pos = pos + len;
+                ext_insert_pos = pos + len;
+            } else if (opcode == spv::OpExtension) {
+                ext_insert_pos = pos + len;
+            } else if (opcode == spv::OpEntryPoint) {
+                entry_point_id = spv[pos + 2];
+                exec_insert_pos = pos + len;
+            } else if (opcode == spv::OpExecutionMode || opcode == spv::OpExecutionModeId) {
+                exec_insert_pos = pos + len;
+            } else if (entry_point_id != 0) {
+                break;
+            }
+
+            pos += len;
+        }
+
+        // Insert from latest position first so earlier indices stay valid.
+
+        // OpExecutionMode %entrypoint RoundingModeRTE 16
+        uint32_t exec_mode[] = { (4u << spv::WordCountShift) | spv::OpExecutionMode, entry_point_id, spv::ExecutionModeRoundingModeRTE, 16 };
+        spv.insert(spv.begin() + exec_insert_pos, std::begin(exec_mode), std::end(exec_mode));
+
+        // OpExtension "SPV_KHR_float_controls"
+        const char ext_str[] = "SPV_KHR_float_controls";
+        size_t ext_str_words = CEIL_DIV(sizeof(ext_str), sizeof(uint32_t));
+        std::vector<uint32_t> extension(1 + ext_str_words, 0);
+        extension[0] = (uint32_t)((1 + ext_str_words) << spv::WordCountShift) | spv::OpExtension;
+        memcpy(&extension[1], ext_str, sizeof(ext_str));
+        spv.insert(spv.begin() + ext_insert_pos, extension.begin(), extension.end());
+
+        // OpCapability RoundingModeRTE
+        uint32_t capability[] = { (2u << spv::WordCountShift) | spv::OpCapability, spv::CapabilityRoundingModeRTE };
+        spv.insert(spv.begin() + cap_insert_pos, std::begin(capability), std::end(capability));
+
+        shader_module_create_info = vk::ShaderModuleCreateInfo({}, spv.size() * sizeof(uint32_t), spv.data());
+    }
+
     pipeline->shader_module = device->device.createShaderModule(shader_module_create_info);
 
     vk::PushConstantRange pcr(
@@ -2858,11 +2933,10 @@ struct vk_fa_tuning_params {
     }
 };
 
-static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type);
 static bool ggml_vk_flash_attn_coopmat_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc);
 
 static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
-    GGML_UNUSED(kv_type);
 
     vk_fa_tuning_params result{};
     result.path = FA_SCALAR;
@@ -2914,7 +2988,7 @@ static vk_fa_tuning_params get_fa_tuning_params_scalar(const vk_device& device,
 
     result.shmem_staging = (device->vendor_id == VK_VENDOR_ID_NVIDIA && hsk < 256 && hsv < 256) ? 1 : 0;
 
-    if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc)) {
+    if (!reduce_block_rows && !ggml_vk_flash_attn_scalar_shmem_support(device, result, hsk, hsv, f32acc, kv_type)) {
         result.block_rows /= 2;
     }
 
@@ -2967,7 +3041,7 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat1(const vk_device& device
     return result;
 }
 
-static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) {
     GGML_UNUSED(n_kv);
     GGML_UNUSED(f32acc);
 
@@ -2981,7 +3055,7 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device
     if (small_rows) {
         result.block_rows = 32;
         result.block_cols = 32;
-    } else if (ggml_is_quantized(kv_type) || hsk >= 256 || hsv >= 256) {
+    } else if (ggml_is_quantized(k_type) || ggml_is_quantized(v_type) || hsk >= 256 || hsv >= 256) {
         result.block_rows = (hsk >= 512 || hsv >= 512) ? 32 : 64;
         result.block_cols = 32;
     } else {
@@ -2995,7 +3069,13 @@ static vk_fa_tuning_params get_fa_tuning_params_coopmat2(const vk_device& device
     return result;
 }
 
-static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type kv_type, bool f32acc) {
+static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_t hsk, uint32_t hsv, uint32_t n_rows, uint32_t n_kv, ggml_type k_type, ggml_type v_type, bool f32acc) {
+    // Mixed K/V is only implemented on the coopmat2 (flash_attn_cm2) path; never use scalar/cm1.
+    if (k_type != v_type) {
+        GGML_ASSERT(device->coopmat2);
+        return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc);
+    }
+
     FaCodePath path = device->coopmat2 ? FA_COOPMAT2 :
                       device->coopmat1_fa_support ? FA_COOPMAT1 : FA_SCALAR;
 
@@ -3007,7 +3087,7 @@ static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_
     if (path == FA_COOPMAT1) {
         bool shape_ok = (f32acc && device->coopmat_support_16x16x16_f32acc) ||
                         (!f32acc && device->coopmat_support_16x16x16_f16acc);
-        const vk_fa_tuning_params params = get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+        const vk_fa_tuning_params params = get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, k_type, f32acc);
         bool shmem_ok = ggml_vk_flash_attn_coopmat_shmem_support(device, params, hsk, hsv, f32acc);
 
         if (!shape_ok || !shmem_ok) {
@@ -3020,20 +3100,25 @@ static vk_fa_tuning_params get_fa_tuning_params(const vk_device& device, uint32_
         path = FA_SCALAR;
     }
 
+    // Q1_0 K/V is only implemented on coopmat2 (flash_attn_cm2); there is no scalar FA shader for it.
+    if ((k_type == GGML_TYPE_Q1_0 || v_type == GGML_TYPE_Q1_0) && device->coopmat2) {
+        path = FA_COOPMAT2;
+    }
+
     switch (path) {
     case FA_SCALAR:
-        return get_fa_tuning_params_scalar(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+        return get_fa_tuning_params_scalar(device, hsk, hsv, n_rows, n_kv, k_type, f32acc);
     case FA_COOPMAT1:
-        return get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+        return get_fa_tuning_params_coopmat1(device, hsk, hsv, n_rows, n_kv, k_type, f32acc);
     case FA_COOPMAT2:
-        return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, kv_type, f32acc);
+        return get_fa_tuning_params_coopmat2(device, hsk, hsv, n_rows, n_kv, k_type, v_type, f32acc);
     default:
         throw std::runtime_error("unsupported FaCodePath");
     }
 }
 
 static vk_fa_pipeline_state get_fa_pipeline_state(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool aligned, bool f32acc,
-                                                  bool use_mask, bool use_mask_opt, bool use_logit_softcap) {
+                                                  bool use_mask, bool use_mask_opt, bool use_logit_softcap, ggml_type k_type, ggml_type v_type) {
     const bool old_amd_windows = device->vendor_id == VK_VENDOR_ID_AMD && device->driver_id == vk::DriverId::eAmdProprietary &&
                                  (device->architecture == AMD_GCN || device->architecture == AMD_RDNA1 || device->architecture == AMD_RDNA2);
 
@@ -3044,12 +3129,32 @@ static vk_fa_pipeline_state get_fa_pipeline_state(const vk_device& device, const
 
     const uint32_t subgroup_size = params.disable_subgroups ? 0 : params.subgroup_size;
 
-    return vk_fa_pipeline_state{hsk, hsv, params.block_rows, params.block_cols, params.d_split, params.row_split, params.shmem_staging, params.path, params.workgroup_size, subgroup_size, aligned, f32acc, flags, params.limit_occupancy_shmem};
+    return vk_fa_pipeline_state{hsk, hsv, params.block_rows, params.block_cols, params.d_split, params.row_split, params.shmem_staging, params.path, params.workgroup_size, subgroup_size, aligned, f32acc, flags, params.limit_occupancy_shmem, k_type, v_type};
 }
 
 static std::vector<uint32_t> get_fa_spec_constants(const vk_fa_pipeline_state& state) {
-    return {state.workgroup_size, state.Br, state.Bc, state.HSK, state.HSV, !state.aligned, state.D_split,
-            state.row_split, state.subgroup_size, state.shmem_staging ? 1u : 0u, state.flags, state.limit_occupancy_shmem};
+    const auto fa_block_bytes = [](ggml_type t) -> uint32_t {
+        // decodeBufF32 uses a block of vec4s for a better memory access pattern.
+        return t == GGML_TYPE_F32 ? 16u : (uint32_t) ggml_type_size(t);
+    };
+    return {
+        /* 0 WorkGroupSize   */ state.workgroup_size,
+        /* 1 Br              */ state.Br,
+        /* 2 Bc              */ state.Bc,
+        /* 3 HSK             */ state.HSK,
+        /* 4 HSV             */ state.HSV,
+        /* 5 Clamp           */ static_cast<uint32_t>(!state.aligned),
+        /* 6 D_split         */ state.D_split,
+        /* 7 row_split       */ state.row_split,
+        /* 8 SubGroupSize    */ state.subgroup_size,
+        /* 9 SHMEM_STAGING   */ state.shmem_staging ? 1u : 0u,
+        /*10 Flags           */ state.flags,
+        /*11 LIMIT_OCCUPANCY_SHMEM */ state.limit_occupancy_shmem,
+        /*12 FaTypeK         */ static_cast<uint32_t>(state.k_type),
+        /*13 FaTypeV         */ static_cast<uint32_t>(state.v_type),
+        /*14 FaBlockBytesK   */ fa_block_bytes(state.k_type),
+        /*15 FaBlockBytesV   */ fa_block_bytes(state.v_type),
+    };
 }
 
 static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vector<uint32_t>& warptile, bool mul_mat_id, ggml_type src0_type) {
@@ -3080,6 +3185,10 @@ static bool ggml_vk_matmul_shmem_support(const vk_device& device, const std::vec
     case GGML_TYPE_MXFP4:
         lut_size = 4*16;
         break;
+    case GGML_TYPE_NVFP4:
+        // Same kvalues budget as MXFP4 plus ue4m3_fp32_lut[128] (types.glsl, DATA_A_NVFP4).
+        lut_size = 4*16 + 128u * (uint32_t)sizeof(float);
+        break;
     default:
         break;
     }
@@ -3445,13 +3554,47 @@ static void ggml_vk_load_shaders(vk_device& device) {
     if (device->fp16) {
         CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, )
         CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, )
-        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, )
-        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, )
+
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+        if (device->integer_dot_product && device->subgroup_clustered) {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _int8)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _int8)
+        } else
+#endif
+        {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, )
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, )
+        }
     } else {
         CREATE_FA(GGML_TYPE_F32, f32, FA_SCALAR, _fp32)
         CREATE_FA(GGML_TYPE_F16, f16, FA_SCALAR, _fp32)
-        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_SCALAR, _fp32)
-        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_SCALAR, _fp32)
+
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+        if (device->integer_dot_product && device->subgroup_clustered) {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _fp32_int8)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32_int8)
+        } else
+#endif
+        {
+            CREATE_FA(GGML_TYPE_Q4_0,     q4_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q8_0,     q8_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q4_1,     q4_1, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q5_0,     q5_0, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_Q5_1,     q5_1, FA_SCALAR, _fp32)
+            CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_SCALAR, _fp32)
+        }
     }
 #if defined(VK_KHR_cooperative_matrix) && defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
     if (device->coopmat1_fa_support) {
@@ -3459,19 +3602,42 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_FA(GGML_TYPE_F16, f16, FA_COOPMAT1, _cm1)
         CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_COOPMAT1, _cm1)
         CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_COOPMAT1, _cm1)
+        CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_COOPMAT1, _cm1)
     }
 #endif
 #if defined(VK_NV_cooperative_matrix2) && defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
+#define CREATE_FA_CM2_MIXED() \
+        for (int fa_k_ty = 0; fa_k_ty < (int)GGML_TYPE_COUNT; ++fa_k_ty) { \
+        for (auto &fa : device->pipeline_flash_attn_f32_f16[fa_k_ty]) { \
+            FaCodePath path = fa.first.path; \
+            uint32_t Br = fa.first.Br; \
+            uint32_t Bc = fa.first.Bc; \
+            bool aligned = fa.first.aligned; \
+            bool f32acc = fa.first.f32acc; \
+            if (path == FA_COOPMAT2) { \
+                if (aligned) { \
+                    if (f32acc) { \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_mixed_aligned_f32acc_cm2", flash_attn_f32_f16_mixed_cm2_len, flash_attn_f32_f16_mixed_cm2_data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, false, 0); \
+                    } else { \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_mixed_aligned_f16acc_cm2", flash_attn_f32_f16_mixed_f16acc_cm2_len, flash_attn_f32_f16_mixed_f16acc_cm2_data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), Bc, true, false, 0); \
+                    } \
+                } else { \
+                    if (f32acc) { \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_mixed_f32acc_cm2", flash_attn_f32_f16_mixed_cm2_len, flash_attn_f32_f16_mixed_cm2_data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1, true, false, 0); \
+                    } else { \
+                        ggml_vk_create_pipeline(device, fa.second, "flash_attn_f32_f16_mixed_f16acc_cm2", flash_attn_f32_f16_mixed_f16acc_cm2_len, flash_attn_f32_f16_mixed_f16acc_cm2_data, "main", 7, sizeof(vk_flash_attn_push_constants), {Br, 1, 1}, get_fa_spec_constants(fa.first), 1, true, false, 0); \
+                    } \
+                } \
+            } \
+        } \
+        }
     if (device->coopmat2) {
-        CREATE_FA(GGML_TYPE_F32, f32, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_F16, f16, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_Q4_0, q4_0, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_Q4_1, q4_1, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_Q5_0, q5_0, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_Q5_1, q5_1, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_Q8_0, q8_0, FA_COOPMAT2, _cm2)
-        CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl, FA_COOPMAT2, _cm2)
+        CREATE_FA_CM2_MIXED();
     }
+#undef CREATE_FA_CM2_MIXED
 #endif
 #undef CREATE_FA
 
@@ -3500,6 +3666,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3)
         }
 #endif
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q1_0], matmul_q1_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q4_0], matmul_q4_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q4_1], matmul_q4_1_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_Q5_0], matmul_q5_0_f16, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
@@ -3520,6 +3687,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f16,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f16,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_MXFP4],   matmul_mxfp4_f16,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_NVFP4],   matmul_nvfp4_f16,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3)
 
         GGML_ASSERT(device->subgroup_ballot);
 
@@ -3529,6 +3697,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, 5)
         }
 #endif
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f16, mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
@@ -3549,6 +3718,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f16,  mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f16,  mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
         CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f16,   mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
+        CREATE_MM2(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f16,   mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 5)
 #undef CREATE_MM
 #undef CREATE_MM2
     } else
@@ -3590,6 +3760,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 #endif
 
         if (device->coopmat_acc_f16_support) {
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0], matmul_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0], matmul_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1], matmul_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0], matmul_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
@@ -3611,7 +3782,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4],   matmul_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4],   matmul_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
         } else {
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0].f32acc, matmul_q1_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f32acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f32acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f32acc, matmul_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
@@ -3633,6 +3806,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc,  matmul_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc,  matmul_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4].f32acc,   matmul_mxfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4].f32acc,   matmul_nvfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, );
         }
 
         GGML_ASSERT(device->subgroup_ballot);
@@ -3646,6 +3820,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         }
 #endif
 
+        CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
@@ -3666,6 +3841,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
         CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
+        CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id);
 #undef CREATE_MM2
 #undef CREATE_MM
     } else
@@ -3709,6 +3885,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
         CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3, , 0);
 
+        CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0], matmul_q1_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0], matmul_q4_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1], matmul_q4_1_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0], matmul_q5_0_f32, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
@@ -3730,6 +3907,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS],  matmul_iq4_xs_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL],  matmul_iq4_nl_f32,  mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4],   matmul_mxfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
+        CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4],   matmul_nvfp4_f32,   mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -3755,6 +3933,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_F16, pipeline_matmul_id_f16_f32, matmul_id_subgroup_f16_f32, wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
 
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_subgroup_q1_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_subgroup_q4_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_subgroup_q4_1_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_subgroup_q5_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
@@ -3775,6 +3954,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_subgroup_iq4_xs_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_subgroup_iq4_nl_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_subgroup_mxfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_subgroup_nvfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -3799,6 +3979,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_F16, pipeline_matmul_id_f16_f32, matmul_id_f16_f32, wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
+            CREATE_MM2(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0], matmul_id_q1_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0], matmul_id_q4_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1], matmul_id_q4_1_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0], matmul_id_q5_0_f32, mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
@@ -3819,6 +4000,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM2(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS],  matmul_id_iq4_xs_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL],  matmul_id_iq4_nl_f32,  mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM2(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4],   matmul_id_mxfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
+            CREATE_MM2(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4],   matmul_id_nvfp4_f32,   mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -3872,6 +4054,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
         CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_bf16, matmul_bf16, , wg_denoms, warptile, vk_mat_mat_push_constants, 3, , 0);
 
+        CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q1_0].f32acc, matmul_q1_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f32acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1].f32acc, matmul_q4_1_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0].f32acc, matmul_q5_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
@@ -3893,6 +4076,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc,  matmul_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc,  matmul_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
         CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_MXFP4].f32acc,   matmul_mxfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
+        CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat[GGML_TYPE_NVFP4].f32acc,   matmul_nvfp4_f32,   , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, , 0);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -3916,6 +4100,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16_f32.f32acc, matmul_id_subgroup_f16_f32, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_subgroup_bf16, , wg_denoms, warptile_id, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size_16);
 
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0].f32acc, matmul_id_subgroup_q1_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f32acc, matmul_id_subgroup_q4_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f32acc, matmul_id_subgroup_q4_1_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f32acc, matmul_id_subgroup_q5_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
@@ -3936,12 +4121,14 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc,  matmul_id_subgroup_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc,  matmul_id_subgroup_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4].f32acc,   matmul_id_subgroup_mxfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4].f32acc,   matmul_id_subgroup_nvfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, mul_mat_subgroup_size);
         } else {
             CREATE_MM(GGML_TYPE_F32, pipeline_matmul_id_f32, matmul_id_f32_f32, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16.f32acc, matmul_id_f16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_F16, pipeline_matmul_id_f16_f32.f32acc, matmul_id_f16_f32, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_BF16, pipeline_matmul_id_bf16, matmul_id_bf16, , wg_denoms, warptile, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
 
+            CREATE_MM(GGML_TYPE_Q1_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q1_0].f32acc, matmul_id_q1_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q4_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f32acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q4_1, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1].f32acc, matmul_id_q4_1_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_Q5_0, pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0].f32acc, matmul_id_q5_0_f32, , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
@@ -3962,6 +4149,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             CREATE_MM(GGML_TYPE_IQ4_XS,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc,  matmul_id_iq4_xs_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_IQ4_NL,  pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc,  matmul_id_iq4_nl_f32,  , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
             CREATE_MM(GGML_TYPE_MXFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_MXFP4].f32acc,   matmul_id_mxfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
+            CREATE_MM(GGML_TYPE_NVFP4,   pipeline_dequant_mul_mat_mat_id[GGML_TYPE_NVFP4].f32acc,   matmul_id_nvfp4_f32,   , mmq_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, mul_mat_id_param_count, _id, 0);
         }
     }
     // reusing CREATE_MM from the fp32 path
@@ -4039,6 +4227,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f32_f32",  arr_dmmv_f32_f32_f32_len[reduc],  arr_dmmv_f32_f32_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, {wg_size_subgroup, 1, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_F16 ][i], "mul_mat_vec_f16_f32_f32",  arr_dmmv_f16_f32_f32_len[reduc],  arr_dmmv_f16_f32_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_BF16][i], "mul_mat_vec_bf16_f32_f32", arr_dmmv_bf16_f32_f32_len[reduc], arr_dmmv_bf16_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q1_0][i], "mul_mat_vec_q1_0_f32_f32", arr_dmmv_q1_0_f32_f32_len[reduc], arr_dmmv_q1_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q4_0][i], "mul_mat_vec_q4_0_f32_f32", arr_dmmv_q4_0_f32_f32_len[reduc], arr_dmmv_q4_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q4_1][i], "mul_mat_vec_q4_1_f32_f32", arr_dmmv_q4_1_f32_f32_len[reduc], arr_dmmv_q4_1_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_Q5_0][i], "mul_mat_vec_q5_0_f32_f32", arr_dmmv_q5_0_f32_f32_len[reduc], arr_dmmv_q5_0_f32_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
@@ -4059,10 +4248,12 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_IQ4_XS][i],  "mul_mat_vec_iq4_xs_f32_f32",  arr_dmmv_iq4_xs_f32_f32_len[reduc16],  arr_dmmv_iq4_xs_f32_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_IQ4_NL][i],  "mul_mat_vec_iq4_nl_f32_f32",  arr_dmmv_iq4_nl_f32_f32_len[reduc16],  arr_dmmv_iq4_nl_f32_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_MXFP4][i],   "mul_mat_vec_mxfp4_f32_f32",   arr_dmmv_mxfp4_f32_f32_len[reduc16],   arr_dmmv_mxfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[w][GGML_TYPE_NVFP4][i],   "mul_mat_vec_nvfp4_f32_f32",   arr_dmmv_nvfp4_f32_f32_len[reduc16],   arr_dmmv_nvfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
 
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f16_f32",  arr_dmmv_f32_f16_f32_len[reduc],  arr_dmmv_f32_f16_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, {wg_size_subgroup, 1, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_F16 ][i], "mul_mat_vec_f16_f16_f32",  arr_dmmv_f16_f16_f32_len[reduc],  arr_dmmv_f16_f16_f32_data[reduc],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_BF16][i], "mul_mat_vec_bf16_f16_f32", arr_dmmv_bf16_f16_f32_len[reduc], arr_dmmv_bf16_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {wg_size_subgroup, 2, i+1}, 1, false, use_subgroups, force_subgroup_size);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q1_0][i], "mul_mat_vec_q1_0_f16_f32", arr_dmmv_q1_0_f16_f32_len[reduc], arr_dmmv_q1_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q4_0][i], "mul_mat_vec_q4_0_f16_f32", arr_dmmv_q4_0_f16_f32_len[reduc], arr_dmmv_q4_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q4_1][i], "mul_mat_vec_q4_1_f16_f32", arr_dmmv_q4_1_f16_f32_len[reduc], arr_dmmv_q4_1_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_Q5_0][i], "mul_mat_vec_q5_0_f16_f32", arr_dmmv_q5_0_f16_f32_len[reduc], arr_dmmv_q5_0_f16_f32_data[reduc], "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq, i+1}, 1, true, use_subgroups, force_subgroup_size);
@@ -4083,6 +4274,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_IQ4_XS][i],  "mul_mat_vec_iq4_xs_f16_f32",  arr_dmmv_iq4_xs_f16_f32_len[reduc16],  arr_dmmv_iq4_xs_f16_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_IQ4_NL][i],  "mul_mat_vec_iq4_nl_f16_f32",  arr_dmmv_iq4_nl_f16_f32_len[reduc16],  arr_dmmv_iq4_nl_f16_f32_data[reduc16],  "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
             ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_MXFP4][i],   "mul_mat_vec_mxfp4_f16_f32",   arr_dmmv_mxfp4_f16_f32_len[reduc16],   arr_dmmv_mxfp4_f16_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
+            ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[w][GGML_TYPE_NVFP4][i],   "mul_mat_vec_nvfp4_f16_f32",   arr_dmmv_nvfp4_f16_f32_len[reduc16],   arr_dmmv_nvfp4_f16_f32_data[reduc16],   "main", mul_mat_vec_num_bindings, sizeof(vk_mat_vec_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq, i+1}, 1, true, use_subgroups16, force_subgroup_size16);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
             if (device->integer_dot_product) {
@@ -4113,6 +4305,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",        arr_dmmv_id_f32_f32_f32_len[reduc],     arr_dmmv_id_f32_f32_f32_data[reduc],     "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, {wg_size_subgroup, 1}, 1, false, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",        arr_dmmv_id_f16_f32_f32_len[reduc],     arr_dmmv_id_f16_f32_f32_data[reduc],     "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2, 1, 1}, {wg_size_subgroup, 2}, 1, false, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_BF16], "mul_mat_vec_id_bf16_f32",       arr_dmmv_id_bf16_f32_f32_len[reduc],    arr_dmmv_id_bf16_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2, 1, 1}, {wg_size_subgroup, 2}, 1, false, use_subgroups, force_subgroup_size);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q1_0], "mul_mat_vec_id_q1_0_f32",       arr_dmmv_id_q1_0_f32_f32_len[reduc],    arr_dmmv_id_q1_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32",       arr_dmmv_id_q4_0_f32_f32_len[reduc],    arr_dmmv_id_q4_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32",       arr_dmmv_id_q4_1_f32_f32_len[reduc],    arr_dmmv_id_q4_1_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32",       arr_dmmv_id_q5_0_f32_f32_len[reduc],    arr_dmmv_id_q5_0_f32_f32_data[reduc],    "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {wg_size_subgroup, 2*rm_stdq}, 1, true, use_subgroups, force_subgroup_size);
@@ -4133,6 +4326,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_IQ4_XS],  "mul_mat_vec_id_iq4_xs_f32",  arr_dmmv_id_iq4_xs_f32_f32_len[reduc16],  arr_dmmv_id_iq4_xs_f32_f32_data[reduc16],  "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_IQ4_NL],  "mul_mat_vec_id_iq4_nl_f32",  arr_dmmv_id_iq4_nl_f32_f32_len[reduc16],  arr_dmmv_id_iq4_nl_f32_f32_data[reduc16],  "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
         ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_MXFP4],   "mul_mat_vec_id_mxfp4_f32",   arr_dmmv_id_mxfp4_f32_f32_len[reduc16],   arr_dmmv_id_mxfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[w][GGML_TYPE_NVFP4],   "mul_mat_vec_id_nvfp4_f32",   arr_dmmv_id_nvfp4_f32_f32_len[reduc16],   arr_dmmv_id_nvfp4_f32_f32_data[reduc16],   "main", mul_mat_vec_id_num_bindings, sizeof(vk_mat_vec_id_push_constants), {rm_iq, 1, 1}, {wg_size_subgroup16, rm_iq}, 1, true, use_subgroups16, force_subgroup_size16);
 
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (device->integer_dot_product) {
@@ -4167,6 +4361,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
 
     // dequant shaders
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q1_0], "dequant_q1_0", dequant_q1_0_len, dequant_q1_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 8, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
@@ -4187,11 +4382,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_XS],  "dequant_iq4_xs",  dequant_iq4_xs_len,  dequant_iq4_xs_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL],  "dequant_iq4_nl",  dequant_iq4_nl_len,  dequant_iq4_nl_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_MXFP4],   "dequant_mxfp4",   dequant_mxfp4_len,   dequant_mxfp4_data,   "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_NVFP4],   "dequant_nvfp4",   dequant_nvfp4_len,   dequant_nvfp4_data,   "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
 
     // get_rows
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32",  get_rows_f32_len,  get_rows_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16",  get_rows_f16_len,  get_rows_f16_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_BF16], "get_rows_bf16", get_rows_bf16_len, get_rows_bf16_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q1_0], "get_rows_q1_0", get_rows_q1_0_len, get_rows_q1_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
@@ -4212,11 +4409,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_XS],  "get_rows_iq4_xs",  get_rows_iq4_xs_len,  get_rows_iq4_xs_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL],  "get_rows_iq4_nl",  get_rows_iq4_nl_len,  get_rows_iq4_nl_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_MXFP4],   "get_rows_mxfp4",   get_rows_mxfp4_len,   get_rows_mxfp4_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_NVFP4],   "get_rows_nvfp4",   get_rows_nvfp4_len,   get_rows_nvfp4_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_I32],     "get_rows_i32",     get_rows_i32_len,     get_rows_i32_data,     "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32",  get_rows_f32_f32_len,  get_rows_f32_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32",  get_rows_f16_f32_len,  get_rows_f16_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_BF16], "get_rows_bf16_f32", get_rows_bf16_f32_len, get_rows_bf16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q1_0], "get_rows_q1_0_f32", get_rows_q1_0_f32_len, get_rows_q1_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
@@ -4237,6 +4436,7 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_XS],  "get_rows_iq4_xs_f32",  get_rows_iq4_xs_f32_len,  get_rows_iq4_xs_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL],  "get_rows_iq4_nl_f32",  get_rows_iq4_nl_f32_len,  get_rows_iq4_nl_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_MXFP4],   "get_rows_mxfp4_f32",   get_rows_mxfp4_f32_len,   get_rows_mxfp4_f32_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_NVFP4],   "get_rows_nvfp4_f32",   get_rows_nvfp4_f32_len,   get_rows_nvfp4_f32_data,   "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256 * 4, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_flash_attn_split_k_reduce, "fa_split_k_reduce", fa_split_k_reduce_len, fa_split_k_reduce_data, "main", 3, sizeof(vk_op_flash_attn_split_k_reduce_push_constants), {1, device->subgroup_size, 1}, {device->subgroup_size}, 1, true);
@@ -4269,10 +4469,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_partials_f32, "rms_norm_partials_f32", rms_norm_partials_f32_len, rms_norm_partials_f32_data, "main", 4, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {0, 0}, 1, true);
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_partials_f32, "rms_norm_mul_partials_f32", rms_norm_partials_f32_len, rms_norm_partials_f32_data, "main", 4, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {0, 1}, 1, true);
 
-    if (device->float_controls_rte_fp16 &&
-        sizeof(vk_op_rms_norm_mul_rope_push_constants) <= device->properties.limits.maxPushConstantsSize) {
+    if (sizeof(vk_op_rms_norm_mul_rope_push_constants) <= device->properties.limits.maxPushConstantsSize) {
         ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f32, "rms_norm_mul_rope_f32_f32", rms_norm_mul_rope_f32_f32_len, rms_norm_mul_rope_f32_f32_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
-        ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f16, "rms_norm_mul_rope_f32_f16", rms_norm_mul_rope_f32_f16_rte_len, rms_norm_mul_rope_f32_f16_rte_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
+        ggml_vk_create_pipeline(device, device->pipeline_rms_norm_mul_rope_f32_f16, "rms_norm_mul_rope_f32_f16", rms_norm_mul_rope_f32_f16_len, rms_norm_mul_rope_f32_f16_data, "main", 7, sizeof(vk_op_rms_norm_mul_rope_push_constants), {1, 1, 1}, {0, 1}, 1, true);
     }
 
     ggml_vk_create_pipeline(device, device->pipeline_rms_norm_back_f32, "rms_norm_back_f32", rms_norm_back_f32_len, rms_norm_back_f32_data, "main", 3, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
@@ -4297,43 +4496,32 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_cpy_transpose_32, "cpy_transpose_32", cpy_transpose_32_len, cpy_transpose_32_data, "main", 2, sizeof(vk_op_unary_push_constants), {1, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_transpose_16, "cpy_transpose_16", cpy_transpose_16_len, cpy_transpose_16_data, "main", 2, sizeof(vk_op_unary_push_constants), {1, 1, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_rte_len, cpy_f32_q4_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_rte_len, cpy_f32_q4_1_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_rte_len, cpy_f32_q5_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_rte_len, cpy_f32_q5_1_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_rte_len, cpy_f32_q8_0_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_rte_len, cpy_f32_iq4_nl_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_len, cpy_f32_q4_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_len, cpy_f32_q4_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_len, cpy_f32_q5_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_len, cpy_f32_q5_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_len, cpy_f32_q8_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_len, cpy_f32_iq4_nl_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
-    }
-
-#define SET_ROWS(itype, rte) \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F32],  "set_rows_f32" #itype,  set_rows_f32 ## itype ## rte ## _len,  set_rows_f32 ## itype ## rte ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F16],  "set_rows_f16" #itype,  set_rows_f16 ## itype ## rte ## _len,  set_rows_f16 ## itype ## rte ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_BF16], "set_rows_bf16" #itype, set_rows_bf16 ## itype ## rte ## _len, set_rows_bf16 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_0], "set_rows_q4_0" #itype, set_rows_q4_0 ## itype ## rte ## _len, set_rows_q4_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_1], "set_rows_q4_1" #itype, set_rows_q4_1 ## itype ## rte ## _len, set_rows_q4_1 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_0], "set_rows_q5_0" #itype, set_rows_q5_0 ## itype ## rte ## _len, set_rows_q5_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_1], "set_rows_q5_1" #itype, set_rows_q5_1 ## itype ## rte ## _len, set_rows_q5_1 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q8_0], "set_rows_q8_0" #itype, set_rows_q8_0 ## itype ## rte ## _len, set_rows_q8_0 ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
-        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_IQ4_NL], "set_rows_iq4_nl" #itype, set_rows_iq4_nl ## itype ## rte ## _len, set_rows_iq4_nl ## itype ## rte ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true);
-
-    if (device->float_controls_rte_fp16) {
-        SET_ROWS(_i32, _rte)
-        SET_ROWS(_i64, _rte)
-    } else {
-        SET_ROWS(_i32, )
-        SET_ROWS(_i64, )
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q1_0], "cpy_f32_q1_0", cpy_f32_q1_0_len, cpy_f32_q1_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_0], "cpy_f32_q4_0", cpy_f32_q4_0_len, cpy_f32_q4_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q4_1], "cpy_f32_q4_1", cpy_f32_q4_1_len, cpy_f32_q4_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_0], "cpy_f32_q5_0", cpy_f32_q5_0_len, cpy_f32_q5_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q5_1], "cpy_f32_q5_1", cpy_f32_q5_1_len, cpy_f32_q5_1_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_Q8_0], "cpy_f32_q8_0", cpy_f32_q8_0_len, cpy_f32_q8_0_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_quant[GGML_TYPE_IQ4_NL], "cpy_f32_iq4_nl", cpy_f32_iq4_nl_len, cpy_f32_iq4_nl_data, "main", 2, sizeof(vk_op_unary_push_constants), {32, 1, 1}, {}, 1);
+
+#define SET_ROWS(itype) \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F32],  "set_rows_f32" #itype,  set_rows_f32 ## itype ## _len,  set_rows_f32 ## itype ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_F16],  "set_rows_f16" #itype,  set_rows_f16 ## itype ## _len,  set_rows_f16 ## itype ## _data,  "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_BF16], "set_rows_bf16" #itype, set_rows_bf16 ## itype ## _len, set_rows_bf16 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q1_0], "set_rows_q1_0" #itype, set_rows_q1_0 ## itype ## _len, set_rows_q1_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_0], "set_rows_q4_0" #itype, set_rows_q4_0 ## itype ## _len, set_rows_q4_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q4_1], "set_rows_q4_1" #itype, set_rows_q4_1 ## itype ## _len, set_rows_q4_1 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_0], "set_rows_q5_0" #itype, set_rows_q5_0 ## itype ## _len, set_rows_q5_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q5_1], "set_rows_q5_1" #itype, set_rows_q5_1 ## itype ## _len, set_rows_q5_1 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_Q8_0], "set_rows_q8_0" #itype, set_rows_q8_0 ## itype ## _len, set_rows_q8_0 ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true); \
+        ggml_vk_create_pipeline(device, device->pipeline_set_rows ## itype [GGML_TYPE_IQ4_NL], "set_rows_iq4_nl" #itype, set_rows_iq4_nl ## itype ## _len, set_rows_iq4_nl ## itype ## _data, "main", 3, sizeof(vk_op_binary_push_constants), {1, 1, 1}, {1}, 1, true);
+
+    SET_ROWS(_i32)
+    SET_ROWS(_i64)
 #undef SET_ROWS
 
 
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q1_0], "cpy_q1_0_f32", cpy_q1_0_f32_len, cpy_q1_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q1_0), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q4_0], "cpy_q4_0_f32", cpy_q4_0_f32_len, cpy_q4_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q4_0), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q4_1], "cpy_q4_1_f32", cpy_q4_1_f32_len, cpy_q4_1_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q4_1), 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cpy_quant_f32[GGML_TYPE_Q5_0], "cpy_q5_0_f32", cpy_q5_0_f32_len, cpy_q5_0_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {(uint32_t)ggml_blck_size(GGML_TYPE_Q5_0), 1, 1}, {}, 1);
@@ -4349,11 +4537,10 @@ static void ggml_vk_load_shaders(vk_device& device) {
         return s;
     };
 
-    bool rte = device->float_controls_rte_fp16;
 #define CREATE_BINARY(name, namemod, spec, bindings) \
     for (int s0 : {0,1}) for (int s1 : {0,1}) for (int d : {0,1}) \
         ggml_vk_create_pipeline2(device, device->pipeline_ ## name ## namemod[s0][s1][d], \
-                                #name + get_suffix(s0, s1, d) + #namemod, name ## _len[s0][s1][d][rte], name ## _data[s0][s1][d][rte], \
+                                #name + get_suffix(s0, s1, d) + #namemod, name ## _len[s0][s1][d], name ## _data[s0][s1][d], \
                                 "main", (bindings), sizeof(vk_op_binary_push_constants), {512, 1, 1}, spec, 1);
 
     CREATE_BINARY(add, , {0}, 4)
@@ -4396,13 +4583,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_sin_f32, "sin_f32", sin_f32_len, sin_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_cos_f32, "cos_f32", cos_f32_len, cos_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32_rte", log_f32_rte_len, log_f32_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16_rte", log_f16_rte_len, log_f16_rte_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32", log_f32_len, log_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16", log_f16_len, log_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_log[0], "log_f32", log_f32_len, log_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_log[1], "log_f16", log_f16_len, log_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_tri[0], "tri_f32", tri_f32_len, tri_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_tri[1], "tri_f16", tri_f16_len, tri_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
@@ -4443,19 +4625,9 @@ static void ggml_vk_load_shaders(vk_device& device) {
     CREATE_UNARY(floor)
     CREATE_UNARY(trunc)
     CREATE_UNARY(sgn)
+    CREATE_UNARY(exp)
 #undef CREATE_UNARY
 
-#define CREATE_UNARY_RTE(name)  \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32_rte", name ## _f32_rte_len, name ## _f32_rte_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16_rte", name ## _f16_rte_len, name ## _f16_rte_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);   \
-    }
-    CREATE_UNARY_RTE(exp)
-#undef CREATE_UNARY_RTE
-
     ggml_vk_create_pipeline(device, device->pipeline_add1_f16_f16, "add1_f16_f16", add1_f16_f16_len, add1_f16_f16_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_add1_f16_f32, "add1_f16_f32", add1_f16_f32_len, add1_f16_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_add1_f32_f32, "add1_f32_f32", add1_f32_f32_len, add1_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
@@ -4463,15 +4635,11 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_arange_f32, "arange_f32", arange_f32_len, arange_f32_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
     ggml_vk_create_pipeline(device, device->pipeline_fill_f32, "fill_f32", fill_f32_len, fill_f32_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_fill_f16, "fill_f16", fill_f16_len, fill_f16_data, "main", 1, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
 #define CREATE_GLU(name)  \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32_rte", name ## _f32_rte_len, name ## _f32_rte_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16_rte", name ## _f16_rte_len, name ## _f16_rte_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_ ## name [0], #name "_f32", name ## _f32_len, name ## _f32_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);   \
+    ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 3, sizeof(vk_op_glu_push_constants), {512, 1, 1}, {}, 1, true);
 
     CREATE_GLU(geglu)
     CREATE_GLU(reglu)
@@ -4504,25 +4672,14 @@ static void ggml_vk_load_shaders(vk_device& device) {
     ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32, "rope_multi_f32", rope_multi_f32_len, rope_multi_f32_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
     ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f32, "rope_vision_f32", rope_vision_f32_len, rope_vision_f32_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    if (device->float_controls_rte_fp16) {
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_rte_len, rope_norm_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_rte_len, rope_neox_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_rte_len, rope_multi_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_rte_len, rope_vision_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_rte_len, rope_norm_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_rte_len, rope_neox_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_rte_len, rope_multi_f32_f16_rte_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    } else {
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_len, rope_multi_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_len, rope_vision_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f16, "rope_multi_f16", rope_multi_f16_len, rope_multi_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_vision_f16, "rope_vision_f16", rope_vision_f16_len, rope_vision_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-        ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_len, rope_norm_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_len, rope_neox_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-        ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_len, rope_multi_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32_f16, "rope_norm_f32_f16", rope_norm_f32_f16_len, rope_norm_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32_f16, "rope_neox_f32_f16", rope_neox_f32_f16_len, rope_neox_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_multi_f32_f16, "rope_multi_f32_f16", rope_multi_f32_f16_len, rope_multi_f32_f16_data, "main", 5, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
     for (uint32_t i = 0; i < num_argsort_pipelines; ++i) {
         uint32_t BLOCK_SIZE = 1u << std::min(i, device->max_workgroup_size_log2);
@@ -4584,13 +4741,8 @@ static void ggml_vk_load_shaders(vk_device& device) {
 #define IM2COL(bda) \
     ggml_vk_create_pipeline(device, device->pipeline_im2col_f32, "im2col_f32", im2col_f32 ## bda ## _len, im2col_f32 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
     ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32, "im2col_3d_f32", im2col_3d_f32 ## bda ## _len, im2col_3d_f32 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    if (device->float_controls_rte_fp16) {  \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16_rte ## bda ## _len, im2col_f32_f16_rte ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16_rte ## bda ## _len, im2col_3d_f32_f16_rte ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    } else {    \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16 ## bda ## _len, im2col_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
-        ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16 ## bda ## _len, im2col_3d_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);      \
-    }
+    ggml_vk_create_pipeline(device, device->pipeline_im2col_f32_f16, "im2col_f32_f16", im2col_f32_f16 ## bda ## _len, im2col_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_push_constants), {512, 1, 1}, { device->subgroup_size }, 1, true);   \
+    ggml_vk_create_pipeline(device, device->pipeline_im2col_3d_f32_f16, "im2col_3d_f32_f16", im2col_3d_f32_f16 ## bda ## _len, im2col_3d_f32_f16 ## bda ## _data, "main", 2, sizeof(vk_op_im2col_3d_push_constants), {512, 1, 1}, { 512 }, 1, true);
     if (device->shader_int64 && device->buffer_device_address) {
         IM2COL(_bda)
     } else {
@@ -6010,6 +6162,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
     VK_LOG_DEBUG("ggml_vk_get_to_fp16()");
     switch (type) {
         case GGML_TYPE_F32:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6030,6 +6183,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6081,6 +6235,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
     }
 
     switch (src0_type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6101,6 +6256,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6146,6 +6302,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
         case GGML_TYPE_F32:
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6166,6 +6323,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6236,6 +6394,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
     GGML_ASSERT(src1_type == GGML_TYPE_F32 || (ctx->device->coopmat2 && src1_type == GGML_TYPE_F16));
 
     switch (src0_type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6256,6 +6415,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6304,6 +6464,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
         case GGML_TYPE_F32:
         case GGML_TYPE_F16:
         case GGML_TYPE_BF16:
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -6324,6 +6485,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
         case GGML_TYPE_IQ4_XS:
         case GGML_TYPE_IQ4_NL:
         case GGML_TYPE_MXFP4:
+        case GGML_TYPE_NVFP4:
             break;
         default:
             return nullptr;
@@ -6733,7 +6895,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
     }
 }
 
-static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) {
+static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")");
     // Check if src is pinned memory
     vk_buffer buf = nullptr;
@@ -6743,7 +6905,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
     if (buf != nullptr) {
         // Memory is pinned, use as staging buffer
         std::vector<vk::BufferCopy> slices(1);
-        if (width == spitch) {
+        if (width == spitch && width == dpitch) {
             // Only do single write if stride is equal
             slices[0].srcOffset = buf_offset;
             slices[0].dstOffset = offset;
@@ -6752,7 +6914,7 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
             slices.resize(height);
             for (size_t i = 0; i < height; i++) {
                 slices[i].srcOffset = buf_offset + i * spitch;
-                slices[i].dstOffset = offset + i * width;
+                slices[i].dstOffset = offset + i * dpitch;
                 slices[i].size = width;
             }
         }
@@ -6769,21 +6931,30 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
     }
 
     // Staging buffer required
-    const size_t copy_size = width*height;
-    ggml_vk_ensure_sync_staging_buffer(dst->device, copy_size);
+    const size_t staging_size = width * height;
+    ggml_vk_ensure_sync_staging_buffer(dst->device, staging_size);
 
     vk_buffer& staging_buffer = dst->device->sync_staging;
 
-    VkBufferCopy buf_copy = {
-        0,
-        offset,
-        copy_size};
+    std::vector<vk::BufferCopy> slices(1);
+    if (width == dpitch) {
+        slices[0].srcOffset = 0;
+        slices[0].dstOffset = offset;
+        slices[0].size = staging_size;
+    } else {
+        slices.resize(height);
+        for (size_t i = 0; i < height; i++) {
+            slices[i].srcOffset = i * width;
+            slices[i].dstOffset = offset + i * dpitch;
+            slices[i].size = width;
+        }
+    }
 
     ggml_vk_sync_buffers(nullptr, subctx);
-    vkCmdCopyBuffer(subctx->s->buffer->buf, (VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, 1, &buf_copy);
+    subctx->s->buffer->buf.copyBuffer((VkBuffer)staging_buffer->buffer, (VkBuffer)dst->buffer, slices);
 
     if (width == spitch) {
-        deferred_memcpy((uint8_t *)staging_buffer->ptr, src, width * height, &subctx->in_memcpys);
+        deferred_memcpy((uint8_t *)staging_buffer->ptr, src, staging_size, &subctx->in_memcpys);
     } else {
         for (size_t i = 0; i < height; i++) {
             deferred_memcpy((uint8_t *)staging_buffer->ptr + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys);
@@ -6794,24 +6965,24 @@ static bool ggml_vk_buffer_write_2d_async(vk_context subctx, vk_buffer& dst, siz
 
 static bool ggml_vk_buffer_write_async(vk_context subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")");
-    return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, 1, sync_staging);
+    return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, size, 1, sync_staging);
 }
 
-static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) {
+static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t dpitch, size_t width, size_t height) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")");
     // Buffer is already mapped
     if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
         GGML_ASSERT(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent);
 
         for (size_t i = 0; i < height; i++) {
-            memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width);
+            memcpy((uint8_t *)dst->ptr + offset + i * dpitch, (const uint8_t *) src + i * spitch, width);
         }
     } else {
         std::lock_guard<std::recursive_mutex> guard(dst->device->mutex);
 
         vk_context subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue.cmd_pool);
         ggml_vk_ctx_begin(dst->device, subctx);
-        bool ret = ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, width, height, true);
+        bool ret = ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, dpitch, width, height, true);
         GGML_ASSERT(ret);
         ggml_vk_ctx_end(subctx);
 
@@ -6832,7 +7003,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void *
 
 static void ggml_vk_buffer_write(vk_buffer& dst, size_t offset, const void * src, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")");
-    ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1);
+    ggml_vk_buffer_write_2d(dst, offset, src, size, size, size, 1);
 }
 
 static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) {
@@ -6878,15 +7049,35 @@ static bool ggml_vk_buffer_read_2d_async(vk_context subctx, vk_buffer& src, size
     }
 
     // Fall back to staging buffer
-    const size_t copy_size = dpitch * height;
-    ggml_vk_ensure_sync_staging_buffer(src->device, copy_size);
+    const size_t staging_size = width * height;
+    ggml_vk_ensure_sync_staging_buffer(src->device, staging_size);
 
     vk_buffer& staging_buffer = src->device->sync_staging;
 
+    std::vector<vk::BufferCopy> staging_slices(1);
+    if (width == spitch) {
+        staging_slices[0].srcOffset = offset;
+        staging_slices[0].dstOffset = 0;
+        staging_slices[0].size = staging_size;
+    } else {
+        staging_slices.resize(height);
+        for (size_t i = 0; i < height; i++) {
+            staging_slices[i].srcOffset = offset + i * spitch;
+            staging_slices[i].dstOffset = i * width;
+            staging_slices[i].size = width;
+        }
+    }
+
     ggml_vk_sync_buffers(nullptr, subctx);
-    subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, slices);
+    subctx->s->buffer->buf.copyBuffer(src->buffer, staging_buffer->buffer, staging_slices);
 
-    deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys);
+    if (width == dpitch) {
+        deferred_memcpy(dst, staging_buffer->ptr, staging_size, &subctx->out_memcpys);
+    } else {
+        for (size_t i = 0; i < height; i++) {
+            deferred_memcpy((uint8_t *) dst + i * dpitch, (const uint8_t *) staging_buffer->ptr + i * width, width, &subctx->out_memcpys);
+        }
+    }
     return true;
 }
 
@@ -6894,8 +7085,8 @@ static bool ggml_vk_buffer_read_async(vk_context subctx, vk_buffer& src, size_t
     return ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, size, size, size, 1, sync_staging);
 }
 
-static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) {
-    VK_LOG_DEBUG("ggml_vk_buffer_read(" << src->buffer << ", " << offset << ", " << size << ")");
+static void ggml_vk_buffer_read_2d(vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height) {
+    VK_LOG_DEBUG("ggml_vk_buffer_read_2d(" << src->buffer << ", " << offset << ", " << width << ", " << height << ")");
 
     // If the device is not an UMA device the memory is host-accessible through rebar. While writing
     // through PCIe is sufficient fast reading back data from PCIe is slower than going through
@@ -6903,18 +7094,20 @@ static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_
     if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible && src->device->uma) {
         GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent);
 
-        memcpy(dst, (uint8_t *) src->ptr + offset, size);
+        for (size_t i = 0; i < height; i++) {
+            memcpy((uint8_t *) dst + i * dpitch, (const uint8_t *) src->ptr + offset + i * spitch, width);
+        }
     } else {
         std::lock_guard<std::recursive_mutex> guard(src->device->mutex);
 
         vk_context subctx = ggml_vk_create_temporary_context(src->device->transfer_queue.cmd_pool);
         ggml_vk_ctx_begin(src->device, subctx);
-        bool ret = ggml_vk_buffer_read_async(subctx, src, offset, dst, size, true);
+        bool ret = ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, spitch, dpitch, width, height, true);
         GGML_ASSERT(ret);
         ggml_vk_ctx_end(subctx);
 
         ggml_vk_submit(subctx, src->device->fence);
-        VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences");
+        VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read_2d waitForFences");
         src->device->device.resetFences({ src->device->fence });
         ggml_vk_queue_command_pools_cleanup(src->device);
 
@@ -6924,6 +7117,11 @@ static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_
     }
 }
 
+static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) {
+    VK_LOG_DEBUG("ggml_vk_buffer_read(" << src->buffer << ", " << offset << ", " << size << ")");
+    ggml_vk_buffer_read_2d(src, offset, dst, size, size, size, 1);
+}
+
 static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")");
     // Make sure both buffers are on same device
@@ -6955,7 +7153,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr
         // Copy to src staging buffer
         ggml_vk_buffer_copy(src->device->sync_staging, 0, src, src_offset, size);
         // Copy to dst buffer
-        ggml_vk_buffer_write_2d(dst, dst_offset, src->device->sync_staging->ptr, 0, size, 1);
+        ggml_vk_buffer_write(dst, dst_offset, src->device->sync_staging->ptr, size);
     }
 }
 
@@ -7251,6 +7449,7 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, const
     }
     if (src->type == GGML_TYPE_F32) {
         switch (to) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -7265,6 +7464,7 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, const
 
     if (to == GGML_TYPE_F32) {
         switch (src->type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -8740,7 +8940,7 @@ static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context& subctx
     }
 }
 
-static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc) {
+static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, const vk_fa_tuning_params& params, uint32_t hsk, uint32_t hsv, bool f32acc, ggml_type kv_type) {
     GGML_UNUSED(f32acc);
     // Needs to be kept up to date on shader changes
     const uint32_t wg_size = params.workgroup_size;
@@ -8749,21 +8949,51 @@ static bool ggml_vk_flash_attn_scalar_shmem_support(const vk_device& device, con
 
     const uint32_t float_type_size = device->fp16 ? sizeof(ggml_fp16_t) : sizeof(float);
 
+    const bool mmq = device->integer_dot_product && device->subgroup_clustered &&
+                     (kv_type == GGML_TYPE_Q4_0 || kv_type == GGML_TYPE_Q4_1 ||
+                      kv_type == GGML_TYPE_Q5_0 || kv_type == GGML_TYPE_Q5_1 ||
+                      kv_type == GGML_TYPE_Q8_0 || kv_type == GGML_TYPE_IQ4_NL);
+
     // tmpsh is overestimated slightly
     const uint32_t tmpsh = wg_size * sizeof(float);
     const uint32_t tmpshv4 = wg_size * 4 * float_type_size;
 
     const uint32_t masksh = Bc * (Br + 1) * float_type_size;
 
-    const uint32_t Qf = Br * (hsk / 4 + 1) * 4 * float_type_size;
+    uint32_t Qf, kvsh, kblocksh_size;
+    if (mmq) {
+        // block_b_cache: int32_t qs[8] + FLOAT_TYPEV2 ds
+        const uint32_t block_b_size = 8 * sizeof(int32_t) + 2 * float_type_size;
+        Qf = Br * (hsk / 32) * block_b_size;
+
+        // kvsh uses D = HSV (K goes through kblocksh instead)
+        kvsh = params.shmem_staging ? Bc * (hsv / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
+
+        // block_a_cache size depends on quant type
+        uint32_t block_a_size;
+        switch (kv_type) {
+            case GGML_TYPE_Q4_0:  block_a_size = 4 * sizeof(uint32_t) + float_type_size; break;
+            case GGML_TYPE_Q4_1:  block_a_size = 4 * sizeof(uint32_t) + 2 * float_type_size; break;
+            case GGML_TYPE_Q5_0:  block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + float_type_size; break;
+            case GGML_TYPE_Q5_1:  block_a_size = 4 * sizeof(uint32_t) + sizeof(uint32_t) + 2 * float_type_size; break;
+            case GGML_TYPE_Q8_0:
+            case GGML_TYPE_IQ4_NL: block_a_size = 8 * sizeof(int32_t) + float_type_size; break;
+            default: block_a_size = 0; break;
+        }
+        kblocksh_size = params.shmem_staging ? Bc * (hsk / 32) * block_a_size : block_a_size;
+    } else {
+        Qf = Br * (hsk / 4 + 1) * 4 * float_type_size;
 
-    const uint32_t D = std::max(hsk, hsv);
-    const uint32_t kvsh = params.shmem_staging ? Bc * (D / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
+        const uint32_t D = std::max(hsk, hsv);
+        kvsh = params.shmem_staging ? Bc * (D / 4 + 1) * 4 * float_type_size : 4 * float_type_size;
 
-    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf + kvsh;
+        kblocksh_size = 0;
+    }
+
+    const uint32_t total_size = tmpsh + tmpshv4 + masksh + Qf + kvsh + kblocksh_size;
     const bool supported = total_size <= device->properties.limits.maxComputeSharedMemorySize;
 
-    VK_LOG_DEBUG("ggml_vk_flash_attn_scalar_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", total_size=" << total_size << ", supported=" << supported);
+    VK_LOG_DEBUG("ggml_vk_flash_attn_scalar_shmem_support(HSK=" << hsk << ", HSV=" << hsv << ", mmq=" << mmq << ", total_size=" << total_size << ", supported=" << supported);
 
     return supported;
 }
@@ -8862,8 +9092,6 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
 
     assert(dst->type == GGML_TYPE_F32);
     assert(q->type == GGML_TYPE_F32);
-    assert(k->type == v->type);
-
     uint32_t gqa_ratio = 1;
     uint32_t qk_ratio = neq2 / nek2;
     uint32_t workgroups_x = (uint32_t)neq1;
@@ -8874,7 +9102,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
 
     // For scalar/coopmat1 FA, we can use the "large" size to accommodate qga.
     // For coopmat2 FA, we always use the small size (which is still pretty large for gqa).
-    vk_fa_tuning_params tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, 512, KV, k->type, f32acc);
+    vk_fa_tuning_params tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, 512, KV, k->type, v->type, f32acc);
     const uint32_t max_gqa = std::min(tuning_params.block_rows, 32u);
 
     if (N <= 8 && qk_ratio > 1 && qk_ratio <= max_gqa &&
@@ -8887,7 +9115,11 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
         workgroups_y /= gqa_ratio;
     }
 
-    tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, N, KV, k->type, f32acc);
+    tuning_params = get_fa_tuning_params(ctx->device, HSK, HSV, N, KV, k->type, v->type, f32acc);
+
+    if (tuning_params.path != FA_COOPMAT2) {
+        GGML_ASSERT(k->type == v->type);
+    }
 
     const uint32_t q_stride = (uint32_t)(nbq1 / ggml_type_size(q->type));
     uint32_t k_stride = (uint32_t)(nbk1 / ggml_type_size(k->type));
@@ -8926,7 +9158,7 @@ static void ggml_vk_flash_attn(ggml_backend_vk_context * ctx, vk_context& subctx
     // Only use mask opt when the mask is fairly large. This hasn't been tuned extensively.
     bool use_mask_opt = mask && nem1 >= 32 && nem0 * nem1 > 32768 && nem0 >= tuning_params.block_cols * 16;
     vk_fa_pipeline_state fa_pipeline_state = get_fa_pipeline_state(ctx->device, tuning_params, HSK, HSV, aligned, f32acc,
-                                                                   mask != nullptr, use_mask_opt, logit_softcap != 0);
+                                                                   mask != nullptr, use_mask_opt, logit_softcap != 0, k->type, v->type);
 
     vk_pipeline pipeline = nullptr;
 
@@ -9709,6 +9941,9 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         if (dst->type == GGML_TYPE_F32) {
             return ctx->device->pipeline_fill_f32;
         }
+        if (dst->type == GGML_TYPE_F16) {
+            return ctx->device->pipeline_fill_f16;
+        }
         return nullptr;
     default:
         return nullptr;
@@ -9929,7 +10164,13 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
 
             const uint32_t batch = src1->ne[is_2D ? 3 : 2];
 
-            elements = { OW * KW * KH, OH, batch * IC };
+            const uint32_t CHW = IC * KH * KW;
+            // Cap X workgroups to limit concurrent IC channel reads.
+            // The shader loops over X to cover the full CHW dimension.
+            // AMD prefers a lower limit
+            const uint32_t min_cap = ctx->device->vendor_id == VK_VENDOR_ID_AMD ? 512u : 4096u;
+            const uint32_t x_elements = std::min(CHW, std::max(min_cap, OW * KH * KW));
+            elements = { x_elements, OW, OH * batch };
             elements[1] = std::min(elements[1], ctx->device->properties.limits.maxComputeWorkGroupCount[1]);
             elements[2] = std::min(elements[2], ctx->device->properties.limits.maxComputeWorkGroupCount[2]);
         } break;
@@ -11592,7 +11833,6 @@ static void ggml_vk_im2col(ggml_backend_vk_context * ctx, vk_context& subctx, co
     const uint32_t offset_delta = src1->nb[is_2D ? 2 : 1] / 4; // nb is byte offset, src is type float32
     const uint32_t batch_offset = src1->nb[is_2D ? 3 : 2] / 4; // nb is byte offset, src is type float32
 
-    const uint32_t pelements = OW * KW * KH;
     const uint32_t batch = src1->ne[is_2D ? 3 : 2];
 
     const ggml_backend_vk_buffer_context * d_buf_ctx = (ggml_backend_vk_buffer_context *)dst->buffer->context;
@@ -11604,7 +11844,7 @@ static void ggml_vk_im2col(ggml_backend_vk_context * ctx, vk_context& subctx, co
         dst_addr,
         batch_offset, offset_delta,
         IC, IW, IH, OW, OH, KW, KH,
-        pelements,
+        OH * batch,
         IC * KH * KW,
         s0, s1, p0, p1, d0, d1, batch * IC
     });
@@ -12862,6 +13102,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_cgraph * cgr
             if (vk_perf_logger_enabled && vk_perf_logger_concurrent) {
                 ctx->query_node_idx[ctx->query_idx] = node_idx;
                 compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+                ggml_vk_sync_buffers(ctx, compute_ctx);
             }
         }
         // Add all fused nodes to the unsynchronized lists.
@@ -13462,6 +13703,20 @@ static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml
     ggml_vk_buffer_write(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
 }
 
+static void ggml_backend_vk_buffer_set_tensor_2d(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset,
+                                                 size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor_2d(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ", " <<
+                 n_copies << ", " << stride_tensor << ", " << stride_data << ")");
+    ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
+    vk_buffer buf = buf_ctx->dev_buffer;
+
+    if (size == 0) {
+        return;
+    }
+
+    ggml_vk_buffer_write_2d(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, stride_data, stride_tensor, size, n_copies);
+}
+
 static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
     VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
     ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
@@ -13475,6 +13730,21 @@ static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, cons
     ggml_vk_buffer_read(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, size);
 }
 
+static void ggml_backend_vk_buffer_get_tensor_2d(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset,
+                                                 size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor_2d(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ", " <<
+                 n_copies << ", " << stride_tensor << ", " << stride_data << ")");
+    ggml_backend_vk_buffer_context * buf_ctx = (ggml_backend_vk_buffer_context *)buffer->context;
+
+    if (size == 0) {
+        return;
+    }
+
+    vk_buffer buf = buf_ctx->dev_buffer;
+
+    ggml_vk_buffer_read_2d(buf, vk_tensor_offset(tensor) + tensor->view_offs + offset, data, stride_tensor, stride_data, size, n_copies);
+}
+
 static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
     if (ggml_nbytes(src) == 0) {
         return true;
@@ -13509,6 +13779,8 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_vk_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_vk_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_vk_buffer_get_tensor,
+    /* .set_tensor_2d   = */ ggml_backend_vk_buffer_set_tensor_2d,
+    /* .get_tensor_2d   = */ ggml_backend_vk_buffer_get_tensor_2d,
     /* .cpy_tensor      = */ ggml_backend_vk_buffer_cpy_tensor,
     /* .clear           = */ ggml_backend_vk_buffer_clear,
     /* .reset           = */ NULL,
@@ -13664,8 +13936,9 @@ static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_type(ggml_b
     return &ctx->device->buffer_type;
 }
 
-static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")");
+static void ggml_backend_vk_set_tensor_2d_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset,
+                                                size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    VK_LOG_DEBUG("ggml_backend_vk_set_tensor_2d_async(" << size << ", " << n_copies << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
@@ -13679,7 +13952,6 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor
 
     if (ctx->device->async_use_transfer_queue) {
         if (ctx->transfer_ctx.expired()) {
-            // Initialize new transfer context
             cpy_ctx = ggml_vk_create_context(ctx, ctx->transfer_cmd_pool);
             ctx->transfer_ctx = cpy_ctx;
             ggml_vk_ctx_begin(ctx->device, cpy_ctx);
@@ -13694,25 +13966,48 @@ static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor
 
     auto dst_offset = vk_tensor_offset(tensor) + tensor->view_offs + offset;
 
-    bool ret = ggml_vk_buffer_write_async(cpy_ctx, buf, dst_offset, data, size);
+    bool ret = ggml_vk_buffer_write_2d_async(cpy_ctx, buf, dst_offset, data, stride_data, stride_tensor, size, n_copies);
 
     if (!ret) {
-        ggml_vk_ensure_sync_staging_buffer(ctx, size);
+        const size_t staging_size = size * n_copies;
+        ggml_vk_ensure_sync_staging_buffer(ctx, staging_size);
         ggml_vk_sync_buffers(nullptr, cpy_ctx);
 
-        vk::BufferCopy buffer_cpy;
-        buffer_cpy.srcOffset = 0;
-        buffer_cpy.dstOffset = dst_offset;
-        buffer_cpy.size = size;
+        std::vector<vk::BufferCopy> slices(1);
+        if (size == stride_tensor) {
+            slices[0].srcOffset = 0;
+            slices[0].dstOffset = dst_offset;
+            slices[0].size = staging_size;
+        } else {
+            slices.resize(n_copies);
+            for (size_t i = 0; i < n_copies; i++) {
+                slices[i].srcOffset = i * size;
+                slices[i].dstOffset = dst_offset + i * stride_tensor;
+                slices[i].size = size;
+            }
+        }
+
+        cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, slices);
 
-        cpy_ctx->s->buffer->buf.copyBuffer(ctx->sync_staging->buffer, buf->buffer, { buffer_cpy });
-        deferred_memcpy(ctx->sync_staging->ptr, data, size, &cpy_ctx->in_memcpys);
+        if (size == stride_data) {
+            deferred_memcpy(ctx->sync_staging->ptr, data, staging_size, &cpy_ctx->in_memcpys);
+        } else {
+            for (size_t i = 0; i < n_copies; i++) {
+                deferred_memcpy((uint8_t *)ctx->sync_staging->ptr + i * size, (const uint8_t *)data + i * stride_data, size, &cpy_ctx->in_memcpys);
+            }
+        }
         ggml_vk_synchronize(ctx);
     }
 }
 
-static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-    VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")");
+static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
+    VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")");
+    ggml_backend_vk_set_tensor_2d_async(backend, tensor, data, offset, size, 1, size, size);
+}
+
+static void ggml_backend_vk_get_tensor_2d_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset,
+                                                size_t size, size_t n_copies, size_t stride_tensor, size_t stride_data) {
+    VK_LOG_DEBUG("ggml_backend_vk_get_tensor_2d_async(" << size << ", " << n_copies << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
@@ -13727,24 +14022,45 @@ static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_
     vk_buffer buf = buf_ctx->dev_buffer;
 
     auto src_offset = vk_tensor_offset(tensor) + tensor->view_offs + offset;
-    bool ret = ggml_vk_buffer_read_async(compute_ctx, buf, src_offset, data, size);
+    bool ret = ggml_vk_buffer_read_2d_async(compute_ctx, buf, src_offset, data, stride_tensor, stride_data, size, n_copies);
 
-    // If that failed, copy synchronously through a staging buffer
     if (!ret) {
-        ggml_vk_ensure_sync_staging_buffer(ctx, size);
+        const size_t staging_size = size * n_copies;
+        ggml_vk_ensure_sync_staging_buffer(ctx, staging_size);
         ggml_vk_sync_buffers(nullptr, compute_ctx);
 
-        vk::BufferCopy buffer_cpy;
-        buffer_cpy.srcOffset = src_offset;
-        buffer_cpy.dstOffset = 0;
-        buffer_cpy.size = size;
+        std::vector<vk::BufferCopy> slices(1);
+        if (size == stride_tensor) {
+            slices[0].srcOffset = src_offset;
+            slices[0].dstOffset = 0;
+            slices[0].size = staging_size;
+        } else {
+            slices.resize(n_copies);
+            for (size_t i = 0; i < n_copies; i++) {
+                slices[i].srcOffset = src_offset + i * stride_tensor;
+                slices[i].dstOffset = i * size;
+                slices[i].size = size;
+            }
+        }
+
+        compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, slices);
 
-        compute_ctx->s->buffer->buf.copyBuffer(buf->buffer, ctx->sync_staging->buffer, { buffer_cpy });
-        deferred_memcpy(data, ctx->sync_staging->ptr, size, &compute_ctx->out_memcpys);
+        if (size == stride_data) {
+            deferred_memcpy(data, ctx->sync_staging->ptr, staging_size, &compute_ctx->out_memcpys);
+        } else {
+            for (size_t i = 0; i < n_copies; i++) {
+                deferred_memcpy((uint8_t *)data + i * stride_data, (const uint8_t *)ctx->sync_staging->ptr + i * size, size, &compute_ctx->out_memcpys);
+            }
+        }
         ggml_vk_synchronize(ctx);
     }
 }
 
+static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
+    VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")");
+    ggml_backend_vk_get_tensor_2d_async(backend, tensor, data, offset, size, 1, size, size);
+}
+
 static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend_src, ggml_backend_t backend_dst, const ggml_tensor * src, ggml_tensor * dst) {
     VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async(" << src << " -> " << dst << ", size=" << ggml_nbytes(src) << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend_dst->context;
@@ -14220,8 +14536,7 @@ static bool ggml_vk_can_fuse_rms_norm_mul_rope(ggml_backend_vk_context * ctx, co
     }
 
     // conditions for pipeline creation
-    if (!(ctx->device->float_controls_rte_fp16 &&
-        sizeof(vk_op_rms_norm_mul_rope_push_constants) <= ctx->device->properties.limits.maxPushConstantsSize)) {
+    if (sizeof(vk_op_rms_norm_mul_rope_push_constants) > ctx->device->properties.limits.maxPushConstantsSize) {
         return false;
     }
 
@@ -14350,6 +14665,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
         compute_ctx = ggml_vk_get_compute_ctx(ctx);
         ctx->query_idx = 0;
         compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+        ggml_vk_sync_buffers(ctx, compute_ctx);
     }
 
     ctx->prealloc_y_last_pipeline_used = nullptr;
@@ -14586,6 +14902,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
                 ctx->query_nodes[ctx->query_idx] = cgraph->nodes[i];
                 ctx->query_fusion_names[ctx->query_idx] = fusion_string;
                 compute_ctx->s->buffer->buf.writeTimestamp(vk::PipelineStageFlagBits::eAllCommands, ctx->query_pool, ctx->query_idx++);
+                ggml_vk_sync_buffers(ctx, compute_ctx);
             } else {
                 // track a fusion string and number of fused ops for the current node_idx
                 ctx->query_fusion_names[i] = fusion_string;
@@ -14967,6 +15284,8 @@ static ggml_backend_i ggml_backend_vk_interface = {
     /* .free                    = */ ggml_backend_vk_free,
     /* .set_tensor_async        = */ ggml_backend_vk_set_tensor_async,
     /* .get_tensor_async        = */ ggml_backend_vk_get_tensor_async,
+    /* .set_tensor_2d_async     = */ ggml_backend_vk_set_tensor_2d_async,
+    /* .get_tensor_2d_async     = */ ggml_backend_vk_get_tensor_2d_async,
     /* .cpy_tensor_async        = */ ggml_backend_vk_cpy_tensor_async,
     /* .synchronize             = */ ggml_backend_vk_synchronize,
     /* .graph_plan_create       = */ NULL,
@@ -15253,6 +15572,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15273,6 +15593,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_IQ4_XS:
                     case GGML_TYPE_IQ4_NL:
                     case GGML_TYPE_MXFP4:
+                    case GGML_TYPE_NVFP4:
                         break;
                     default:
                         return false;
@@ -15321,42 +15642,27 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 if (op->src[3] && op->src[3]->type != GGML_TYPE_F16) {
                     return false;
                 }
-                // It's straightforward to support different K/V dequant, but would
-                // significantly increase the number of pipelines
-                if (op->src[1]->type != op->src[2]->type) {
+                // mismatching K/V type is currently supported for coopmat2 only.
+                if (op->src[1]->type != op->src[2]->type && !coopmat2) {
                     return false;
                 }
-                switch (op->src[1]->type) {
-                case GGML_TYPE_F16:
-                case GGML_TYPE_F32:
-                case GGML_TYPE_Q4_0:
-                case GGML_TYPE_Q8_0:
-                    // supported in scalar and coopmat2 paths
-                    break;
-                case GGML_TYPE_Q4_1:
-                case GGML_TYPE_Q5_0:
-                case GGML_TYPE_Q5_1:
-                // K dequants currently disabled because D dimension is rounded up to 256 and runs inefficiently
-                //case GGML_TYPE_Q2_K:
-                //case GGML_TYPE_Q3_K:
-                //case GGML_TYPE_Q4_K:
-                //case GGML_TYPE_Q5_K:
-                //case GGML_TYPE_Q6_K:
-                //case GGML_TYPE_IQ1_S:
-                //case GGML_TYPE_IQ1_M:
-                //case GGML_TYPE_IQ2_XXS:
-                //case GGML_TYPE_IQ2_XS:
-                //case GGML_TYPE_IQ2_S:
-                //case GGML_TYPE_IQ3_XXS:
-                //case GGML_TYPE_IQ3_S:
-                //case GGML_TYPE_IQ4_XS:
-                case GGML_TYPE_IQ4_NL:
-                    // currently supported only in coopmat2 path
-                    if (!coopmat2) {
+                auto fa_kv_ok = [coopmat2](ggml_type t) {
+                    switch (t) {
+                    case GGML_TYPE_F32:
+                    case GGML_TYPE_F16:
+                    case GGML_TYPE_Q8_0:
+                    case GGML_TYPE_Q5_1:
+                    case GGML_TYPE_Q5_0:
+                    case GGML_TYPE_Q4_1:
+                    case GGML_TYPE_Q4_0:
+                        return true;
+                    case GGML_TYPE_Q1_0:
+                        return coopmat2;
+                    default:
                         return false;
                     }
-                    break;
-                default:
+                };
+                if (!fa_kv_ok(op->src[1]->type) || !fa_kv_ok(op->src[2]->type)) {
                     return false;
                 }
                 if (!coopmat2 && !(device->subgroup_shuffle && device->subgroup_vote)) {
@@ -15371,6 +15677,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15391,6 +15698,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_IQ4_XS:
                     case GGML_TYPE_IQ4_NL:
                     case GGML_TYPE_MXFP4:
+                    case GGML_TYPE_NVFP4:
                     case GGML_TYPE_I32:
                         return true;
                     default:
@@ -15403,6 +15711,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15426,6 +15735,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                     case GGML_TYPE_F32:
                     case GGML_TYPE_F16:
                     case GGML_TYPE_BF16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15440,6 +15750,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 if (src1_type == GGML_TYPE_F32) {
                     switch (src0_type) {
                     case GGML_TYPE_F16:
+                    case GGML_TYPE_Q1_0:
                     case GGML_TYPE_Q4_0:
                     case GGML_TYPE_Q4_1:
                     case GGML_TYPE_Q5_0:
@@ -15567,8 +15878,9 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm
                 || (op->src[0]->type == GGML_TYPE_F16 && op->src[1]->type == GGML_TYPE_F32)
                 || (op->src[0]->type == GGML_TYPE_F16 && op->src[1]->type == GGML_TYPE_F16);
         case GGML_OP_ARANGE:
-        case GGML_OP_FILL:
             return op->type == GGML_TYPE_F32;
+        case GGML_OP_FILL:
+            return op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16;
         case GGML_OP_SCALE:
             return ggml_is_contiguous(op->src[0]) && op->src[0]->type == GGML_TYPE_F32;
         case GGML_OP_PAD:
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
index 06df50952..6a6921474 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp
@@ -4,7 +4,7 @@
 #include "generic_unary_head.glsl"
 #include "dequant_funcs.glsl"
 
-#if defined(DATA_A_IQ4_NL) || defined(DATA_A_MXFP4)
+#if defined(DATA_A_IQ4_NL) || defined(DATA_A_MXFP4) || defined(DATA_A_NVFP4)
 // 16 invocations needed for init_iq_shmem
 layout(local_size_x = 16, local_size_y = 1, local_size_z = 1) in;
 #else
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
index b8c40eec1..710c15296 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 
 #if defined(SET_ROWS) && QUANT_K == 1
@@ -184,6 +183,31 @@ void quantize(uint dst_idx, uint src_idx)
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+void quantize(uint dst_idx, uint src_idx)
+{
+    float sum_abs = 0.0;
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0; j++) {
+        sum_abs += abs(data_s[src_idx + j]);
+    }
+
+    const float d = sum_abs / QUANT_K_Q1_0;
+
+    data_q[dst_idx].d = float16_t(d);
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0 / 8; ++j) {
+        data_q[dst_idx].qs[j] = uint8_t(0);
+    }
+
+    [[unroll]] for (int j = 0; j < QUANT_K_Q1_0; ++j) {
+        if (data_s[src_idx + j] >= 0.0) {
+            data_q[dst_idx].qs[j / 8] |= uint8_t(1 << (j % 8));
+        }
+    }
+}
+#endif
+
 #if defined(DATA_A_IQ4_NL)
 uint best_index(float x) {
     if (x <= kvalues_iq4nl[0]) return 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
index 7865a6bda..88d07d2df 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.glsl
@@ -87,6 +87,23 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const uint bits = uint(data_a[a_offset + ib].qs[iqs / 8u]) >> (iqs % 8u);
+    return vec2(
+        (bits & 1u) != 0u ? 1.0f : -1.0f,
+        (bits & 2u) != 0u ? 1.0f : -1.0f);
+}
+vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
+    const uint bits = uint(data_a[a_offset + ib].qs[iqs / 8u]) >> (iqs % 8u);
+    return vec4(
+        (bits & 1u) != 0u ? 1.0f : -1.0f,
+        (bits & 2u) != 0u ? 1.0f : -1.0f,
+        (bits & 4u) != 0u ? 1.0f : -1.0f,
+        (bits & 8u) != 0u ? 1.0f : -1.0f);
+}
+#endif
+
 #if defined(DATA_A_IQ1_S)
 vec2 dequantize(uint ib, uint iqs, uint a_offset) {
     const uint ib32 = iqs / 32;
@@ -433,6 +450,25 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_NVFP4)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const uint sub = iqs >> 4;
+    const float d = ue4m3_to_fp32(data_a[a_offset + ib].d[sub]);
+    const uint j = iqs & 7;
+    const uint shift = (iqs & 8) >> 1; // 0 or 4
+    const uint vui0 = uint(data_a[a_offset + ib].qs[sub * 8u + j]);
+    const uint vui1 = uint(data_a[a_offset + ib].qs[sub * 8u + j + 1]);
+    const uint qs0 = (vui0 >> shift) & 0xF;
+    const uint qs1 = (vui1 >> shift) & 0xF;
+    return vec2(float(kvalues_mxfp4[qs0]), float(kvalues_mxfp4[qs1])) * d * 0.5;
+}
+vec4 dequantize4(uint ib, uint iqs, uint a_offset) {
+    const vec2 v0 = dequantize(ib, iqs, a_offset);
+    const vec2 v1 = dequantize(ib, iqs + 2u, a_offset);
+    return vec4(v0.x, v0.y, v1.x, v1.y);
+}
+#endif
+
 #if defined(DATA_A_F32) || defined(DATA_A_F16) || defined(DATA_A_BF16)
 vec2 get_dm(uint ib, uint a_offset) {
     return vec2(0, 0);
@@ -454,12 +490,25 @@ vec2 get_dm(uint ib, uint a_offset) {
 }
 #endif
 
+#if defined(DATA_A_Q1_0)
+vec2 get_dm(uint ib, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    return vec2(d, 0);
+}
+#endif
+
 #if defined(DATA_A_MXFP4)
 vec2 get_dm(uint ib, uint a_offset) {
     return vec2(e8m0_to_fp32(data_a[a_offset + ib].e), 0);
 }
 #endif
 
+#if defined(DATA_A_NVFP4)
+vec2 get_dm(uint ib, uint a_offset) {
+    return vec2(1.0, 0.0);
+}
+#endif
+
 #if defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
 vec2 get_dm(uint ib, uint a_offset) {
     const vec2 dm = vec2(data_a_packed32[a_offset + ib].dm);
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
index 8ac6482dc..c582aba87 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.glsl
@@ -13,6 +13,18 @@ float16_t dequantFuncF32(const in decodeBufF32 bl, const in uint blockCoords[2],
     return vf16[idx];
 }
 
+layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufQ1_0 {
+   block_q1_0 block;
+};
+
+float16_t dequantFuncQ1_0(const in decodeBufQ1_0 bl, const in uint blockCoords[2], const in uint coordInBlock[2])
+{
+    const float16_t d = bl.block.d;
+    const uint idx = coordInBlock[1];
+    const uint bit = (uint(bl.block.qs[(idx & 0x78) >> 3]) >> (idx & 0x7)) & 1u;
+    return bit != 0u ? d : -d;
+}
+
 layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufQ4_0 {
    block_q4_0_packed16 block;
 };
@@ -685,7 +697,27 @@ float16_t dequantFuncMXFP4(const in decodeBufMXFP4 bl, const in uint blockCoords
 }
 #endif
 
-#if defined(DATA_A_Q4_0)
+#if defined(DATA_A_NVFP4)
+layout(buffer_reference, std430, buffer_reference_align = 4) buffer decodeBufNVFP4 {
+   block_nvfp4 block;
+};
+
+float16_t dequantFuncNVFP4(const in decodeBufNVFP4 bl, const in uint blockCoords[2], const in uint coordInBlock[2])
+{
+    const uint idx = coordInBlock[1];
+    const uint sub = (idx & 0x30) >> 4;
+    const uint iqs = ((idx & 0x30) >> 1) + (idx & 0x7);
+    const uint shift = (idx & 0x8) >> 1;
+    const float d = ue4m3_to_fp32(bl.block.d[sub]);
+    uint qs = uint(bl.block.qs[iqs]);
+    qs = (qs >> shift) & 0xF;
+    return float16_t(kvalues_mxfp4[qs] * d * 0.5);
+}
+#endif
+
+#if defined(DATA_A_Q1_0)
+#define dequantFuncA dequantFuncQ1_0
+#elif defined(DATA_A_Q4_0)
 #define dequantFuncA dequantFuncQ4_0
 #elif defined(DATA_A_Q4_1)
 #define dequantFuncA dequantFuncQ4_1
@@ -729,6 +761,8 @@ float16_t dequantFuncMXFP4(const in decodeBufMXFP4 bl, const in uint blockCoords
 #define dequantFuncA dequantFuncIQ4_NL
 #elif defined(DATA_A_MXFP4)
 #define dequantFuncA dequantFuncMXFP4
+#elif defined(DATA_A_NVFP4)
+#define dequantFuncA dequantFuncNVFP4
 #elif defined(DATA_A_F32)
 #define dequantFuncA dequantFuncF32
 #endif
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp
new file mode 100644
index 000000000..689089160
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_nvfp4.comp
@@ -0,0 +1,32 @@
+#version 450
+
+#include "dequant_head.glsl"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_nvfp4 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    init_iq_shmem(gl_WorkGroupSize);
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint sub = tid / 16;
+    const uint ir = tid % 16;
+    const uint ib = 16 * i + ir;
+    if (ib >= p.nel / 64) {
+        return;
+    }
+
+    const uint q_idx = 8 * sub;
+    const uint b_idx = 1024 * i + 64 * ir + 16 * sub;
+
+    const float d = ue4m3_to_fp32(data_a[ib].d[sub]);
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l +  0] = D_TYPE(d * 0.5 * float(kvalues_mxfp4[data_a[ib].qs[q_idx + l] & 0xF]));
+        data_b[b_idx + l +  8] = D_TYPE(d * 0.5 * float(kvalues_mxfp4[data_a[ib].qs[q_idx + l] >>  4]));
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp
new file mode 100644
index 000000000..ca0bdbc63
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_q1_0.comp
@@ -0,0 +1,29 @@
+#version 450
+
+#include "dequant_head.glsl"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q1_0 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid / 4;
+    const uint ir  = tid % 4;
+    const uint ib = 4*i + ir;
+    if (ib >= p.nel / 128) {
+        return;
+    }
+
+    const uint b_idx = 512*i + 128*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const uint bits = uint(data_a[ib].qs[il]);
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l] = D_TYPE((bits & (1u << l)) != 0u ? d : -d);
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp b/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
index cd3f42f49..79761324f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/diag.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp b/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
index b69d4ddb0..c7cf5ec68 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/exp.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "generic_head.glsl"
 #include "types.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
index 11b7dce85..6e6bdabc9 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn.comp
@@ -10,6 +10,13 @@
 #extension GL_EXT_shader_subgroup_extended_types_float16 : require
 #endif
 
+#ifdef MMQ
+#extension GL_EXT_integer_dot_product : require
+#extension GL_KHR_shader_subgroup_clustered : require
+
+#include "mul_mmq_shmem_types.glsl"
+#endif
+
 #extension GL_KHR_shader_subgroup_shuffle : enable
 #extension GL_KHR_shader_subgroup_vote : enable
 
@@ -41,15 +48,34 @@ shared FLOAT_TYPEV4 tmpshv4[tmpsh_size];
 const uint32_t masksh_stride = Br + 1;
 shared FLOAT_TYPE masksh[Bc * masksh_stride];
 
+#ifndef MMQ
 const uint32_t qf_stride = HSK / 4 + 1;
 shared FLOAT_TYPEV4 Qf[Br * qf_stride];
+#else
 
+const uint32_t qf_stride = HSK / 32;
+shared block_b_cache Qf[Br * qf_stride];
+#endif
+
+#ifndef MMQ
 const uint32_t D = HSK > HSV ? HSK : HSV;
+#else
+const uint32_t D = HSV;
+#endif
 const uint32_t kvsh_stride = D / 4 + 1;
 shared FLOAT_TYPEV4 kvsh[SHMEM_STAGING != 0 ? Bc * kvsh_stride : 1];
 
+#ifdef MMQ
+
+shared block_a_cache kblocksh[SHMEM_STAGING != 0 ? Bc * qf_stride : 1];
+#endif
+
 shared vec4 occupancy_limiter[LIMIT_OCCUPANCY_SHMEM > 0 ? LIMIT_OCCUPANCY_SHMEM : 1];
 
+#ifdef MMQ
+#include "flash_attn_mmq_funcs.glsl"
+#endif
+
 void main() {
 #ifdef NEEDS_INIT_IQ_SHMEM
     init_iq_shmem(gl_WorkGroupSize);
@@ -82,10 +108,39 @@ void main() {
     [[unroll]] for (uint32_t idx = 0; idx < Br * HSK / 4; idx += gl_WorkGroupSize.x) {
         uint32_t d = (idx + tid) % (HSK / 4);
         uint32_t r = (idx + tid) / (HSK / 4);
-        if (r < Br && d < HSK / 4 &&
-            i * Br + r < N) {
+        const bool is_in_bounds = r < Br && d < HSK / 4 && i * Br + r < N;
+#ifndef MMQ
+        if (is_in_bounds) {
             Qf[r * qf_stride + d] = FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale);
         }
+#else
+        const uint buf_ib = r * qf_stride + d / 8;
+        const uint buf_iqs = d % 8;
+
+        FLOAT_TYPEV4 vals = is_in_bounds ? FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale) : FLOAT_TYPEV4(0.0f);
+        const FLOAT_TYPEV4 abs_vals = abs(vals);
+
+        const FLOAT_TYPE thread_max = max(max(abs_vals.x, abs_vals.y), max(abs_vals.z, abs_vals.w));
+        const FLOAT_TYPE amax = subgroupClusteredMax(thread_max, 8);
+        const FLOAT_TYPE qd = amax / FLOAT_TYPE(127.0);
+        const FLOAT_TYPE qd_inv = qd != FLOAT_TYPE(0.0) ? FLOAT_TYPE(1.0) / qd : FLOAT_TYPE(0.0);
+        vals = round(vals * qd_inv);
+
+        Qf[buf_ib].qs[buf_iqs] = pack32(i8vec4(vals));
+
+#if defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL)
+        if (buf_iqs == 0) {
+            Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0);
+        }
+#else // Q4_0, Q4_1, Q5_0, Q5_1
+        const FLOAT_TYPE thread_sum = vals.x + vals.y + vals.z + vals.w;
+        const FLOAT_TYPE sum = subgroupClusteredAdd(thread_sum, 8);
+
+        if (buf_iqs == 0) {
+            Qf[buf_ib].ds = FLOAT_TYPEV2(qd, sum * qd);
+        }
+#endif
+#endif
     }
     barrier();
 
@@ -195,6 +250,7 @@ void main() {
 
         if (SHMEM_STAGING != 0) {
             barrier();
+#ifndef MMQ
             [[unroll]] for (uint32_t idx = 0; idx < Bc * HSK / 4; idx += gl_WorkGroupSize.x) {
                 uint32_t d = (idx + tid) % (HSK / 4);
                 uint32_t c = (idx + tid) / (HSK / 4);
@@ -214,9 +270,29 @@ void main() {
                     kvsh[c * kvsh_stride + d] = K_Tf;
                 }
             }
+#else // MMQ
+            const uint ints_per_block = 8 / QUANT_R_MMQ;
+            const uint quant_iters = Bc * HSK / 32 * ints_per_block;
+            [[unroll]] for (uint32_t idx = 0; idx < quant_iters; idx += gl_WorkGroupSize.x) {
+                const uint32_t iqs = (idx + tid) % ints_per_block;
+                const uint32_t ib = (idx + tid) / ints_per_block;
+                const uint32_t c = ib / (HSK / 32);
+                const uint32_t block = ib % (HSK / 32);
+                if (idx + gl_WorkGroupSize.x <= quant_iters || c < Bc) {
+                    const uint buf_ib = c * qf_stride + block;
+                    if (!KV_bounds_check || j * Bc + c < KV) {
+                        const uint global_ib = (j * Bc + c) * k_stride + block;
+                        k_block_to_shmem(buf_ib, global_ib, iqs, k_offset);
+                    } else {
+                        k_block_to_shmem_zero(buf_ib, iqs);
+                    }
+                }
+            }
+#endif // MMQ
             barrier();
         }
 
+#ifndef MMQ
         // More d iterations means Q register caching becomes relevant
         // Few iterations means the additional registers needed are worse than the speed-up from caching
         if (HSK_per_thread / 4 > 4) {
@@ -275,6 +351,110 @@ void main() {
                 }
             }
         }
+#else // MMQ
+        const uint hsk4 = HSK_per_thread / 4;
+        const uint d_per_step = (hsk4 % 8 == 0) ? 8 :
+                                (hsk4 % 4 == 0) ? 4 :
+                                (hsk4 % 2 == 0) ? 2 : 1;
+
+        [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
+            if (KV_bounds_check && j * Bc + c * cols_per_iter + col_tid >= KV) {
+                continue;
+            }
+
+            [[unroll]] for (uint32_t d_block = 0; d_block < HSK_per_thread / 4; d_block += d_per_step) {
+                int32_t k_quants[d_per_step];
+                ACC_TYPEV2 k_dm;
+
+                if (SHMEM_STAGING != 0) {
+                    const uint k_block_idx = (d_tid * (HSK_per_thread / 4) + d_block) / 8;
+                    const uint buf_ib = (c * cols_per_iter + col_tid) * qf_stride + k_block_idx;
+#if QUANT_AUXF == 1
+                    k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm, 0.0);
+#else
+                    k_dm = ACC_TYPEV2(kblocksh[buf_ib].dm);
+#endif
+
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                    if (d_per_step == 8) {
+                        [[unroll]] for (uint32_t d = 0; d < 4; d++) {
+                            uint vui = kblocksh[buf_ib].qs[d];
+                            k_quants[d    ] = int32_t( vui       & 0x0F0F0F0F);
+                            k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F);
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                            uint qh_lo = (kblocksh[buf_ib].qh >> (d * 4)) & 0xF;
+                            uint qh_hi = (kblocksh[buf_ib].qh >> (d * 4 + 16)) & 0xF;
+                            k_quants[d    ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u);
+                            k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u);
+#endif
+                        }
+                    } else
+#endif
+                    {
+                        [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                            k_quants[d] = get_k_qs_shmem(buf_ib, (d_tid * (HSK_per_thread / 4) + d_block) % 8 + d);
+                        }
+                    }
+                } else {
+                    const uint coord = (j * Bc + c * cols_per_iter + col_tid) * k_stride * BLOCK_SIZE + 4 * (d_tid * (HSK_per_thread / 4) + d_block);
+                    const uint ib = coord / BLOCK_SIZE;
+                    const uint iqs = (coord % BLOCK_SIZE);
+
+#if QUANT_AUXF == 1
+                    k_dm = ACC_TYPEV2(get_k_d(ib, k_offset), 0.0);
+#else
+                    k_dm = ACC_TYPEV2(get_k_dm(ib, k_offset));
+#endif
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1) || defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                    if (d_per_step == 8) {
+#if defined(DATA_A_Q5_0)
+                        uint qh = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qh[0],
+                                                 k_packed.k_data_packed16[k_offset + ib].qh[1]));
+#elif defined(DATA_A_Q5_1)
+                        uint qh = k_packed.k_data_packed16[k_offset + ib].qh;
+#endif
+                        [[unroll]] for (uint32_t d = 0; d < 4; d++) {
+#if defined(A_TYPE_PACKED32)
+                            uint vui = k_packed32.k_data_packed32[k_offset + ib].qs[d];
+#else
+                            uint vui = pack32(u16vec2(k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 0],
+                                                      k_packed.k_data_packed16[k_offset + ib].qs[iqs / 2 + d * 2 + 1]));
+#endif
+                            k_quants[d    ] = int32_t( vui       & 0x0F0F0F0F);
+                            k_quants[d + 4] = int32_t((vui >> 4) & 0x0F0F0F0F);
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+                            uint qh_lo = (qh >> (d * 4)) & 0xF;
+                            uint qh_hi = (qh >> (d * 4 + 16)) & 0xF;
+                            k_quants[d    ] |= int32_t((qh_lo * 0x02040810u) & 0x10101010u);
+                            k_quants[d + 4] |= int32_t((qh_hi * 0x02040810u) & 0x10101010u);
+#endif
+                        }
+                    } else
+#endif
+                    {
+                        [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                            k_quants[d] = get_k_qs(ib, iqs + d * 4, k_offset);
+                        }
+                    }
+                }
+
+                [[unroll]] for (uint32_t r = 0; r < rows_per_thread; ++r) {
+                    const uint qib = tile_row(r) * qf_stride + (d_tid * (HSK_per_thread / 4) + d_block) / 8;
+                    const uint qiqs = (d_tid * (HSK_per_thread / 4) + d_block) % 8;
+
+                    int32_t acc = 0;
+                    [[unroll]] for (uint32_t d = 0; d < d_per_step; d++) {
+                        acc += dotPacked4x8EXT(Qf[qib].qs[qiqs + d], k_quants[d]);
+                    }
+
+                    Sf[r][c] += ACC_TYPE(acc) * ACC_TYPE(Qf[qib].ds.x) * k_dm.x;
+                    if ((d_tid * (HSK_per_thread / 4) + d_block) % 8 == 0) {
+                        Sf[r][c] += k_dot_correction(qib, k_dm);
+                    }
+                }
+            }
+        }
+#endif // MMQ
 
         [[unroll]] for (uint32_t c = 0; c < cols_per_thread; ++c) {
             // Compute sum across the D_split
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
index 172d38f03..efed3a73e 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_base.glsl
@@ -13,6 +13,12 @@ layout (constant_id =  8) const uint32_t SubGroupSize = 32;
 layout (constant_id =  9) const uint32_t SHMEM_STAGING = 0;
 layout (constant_id = 10) const uint32_t Flags = 0;
 layout (constant_id = 11) const uint32_t LIMIT_OCCUPANCY_SHMEM = 0;
+// ggml_type enumerant for K/V
+layout (constant_id = 12) const uint32_t FaTypeK = 0;
+layout (constant_id = 13) const uint32_t FaTypeV = 0;
+// sizeof(decode buffer): quants -> ggml block size; F32 -> 16 (decodeBufF32 vec4).
+layout (constant_id = 14) const uint32_t FaBlockBytesK = 2;
+layout (constant_id = 15) const uint32_t FaBlockBytesV = 2;
 
 const bool USE_MASK_OPT    = (Flags & 1) != 0;
 const bool MASK_ENABLE     = (Flags & 2) != 0;
@@ -89,6 +95,11 @@ layout (binding = 1) readonly buffer K_PACKED16 {A_TYPE_PACKED16 k_data_packed16
 layout (binding = 2) readonly buffer V_PACKED16 {A_TYPE_PACKED16 v_data_packed16[];} v_packed;
 #endif
 
+#if defined(A_TYPE_PACKED32)
+layout (binding = 1) readonly buffer K_PACKED32 {A_TYPE_PACKED32 k_data_packed32[];} k_packed32;
+layout (binding = 2) readonly buffer V_PACKED32 {A_TYPE_PACKED32 v_data_packed32[];} v_packed32;
+#endif
+
 #ifndef BLOCK_SIZE
 #define BLOCK_SIZE 1
 #endif
@@ -110,7 +121,11 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
 
 #if defined(DATA_A_Q4_0)
 #define BLOCK_BYTE_SIZE 18
+#elif defined(DATA_A_Q4_1)
+#define BLOCK_BYTE_SIZE 20
+#endif
 
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
 FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
     if (binding_idx == BINDING_IDX_K) {
         uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
@@ -119,7 +134,12 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q4_1
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f));
+#endif
     } else {
         uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
         uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
@@ -127,11 +147,100 @@ FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
         vui_lo >>= shift;
         vui_hi >>= shift;
 
-        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF) - FLOAT_TYPE(8.0f));
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q4_1
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * nibbles + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles - FLOAT_TYPE(8.0f));
+#endif
     }
 }
 #endif
 
+#if defined(DATA_A_Q5_0)
+#define BLOCK_BYTE_SIZE 22
+#elif defined(DATA_A_Q5_1)
+#define BLOCK_BYTE_SIZE 24
+#endif
+
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+    if (binding_idx == BINDING_IDX_K) {
+        uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+#ifdef DATA_A_Q5_1
+        uint qh = k_packed.k_data_packed16[a_offset + ib].qh;
+#else
+        uint qh = uint(k_packed.k_data_packed16[a_offset + ib].qh[0]) | (uint(k_packed.k_data_packed16[a_offset + ib].qh[1]) << 16);
+#endif
+        FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f);
+
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q5_1
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f));
+#endif
+    } else {
+        uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+#ifdef DATA_A_Q5_1
+        uint qh = v_packed.v_data_packed16[a_offset + ib].qh;
+#else
+        uint qh = uint(v_packed.v_data_packed16[a_offset + ib].qh[0]) | (uint(v_packed.v_data_packed16[a_offset + ib].qh[1]) << 16);
+#endif
+        FLOAT_TYPEV4 hb = FLOAT_TYPEV4((qh >> iqs) & 1, (qh >> (iqs + 1)) & 1, (qh >> (iqs + 2)) & 1, (qh >> (iqs + 3)) & 1) * FLOAT_TYPE(16.0f);
+
+        FLOAT_TYPEV4 nibbles = FLOAT_TYPEV4(vui_lo & 0xF, (vui_lo >> 8) & 0xF, vui_hi & 0xF, (vui_hi >> 8) & 0xF);
+#ifdef DATA_A_Q5_1
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb) + FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].m);
+#else
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * (nibbles + hb - FLOAT_TYPE(16.0f));
+#endif
+    }
+}
+#endif
+
+
+#if defined(DATA_A_IQ4_NL)
+#define BLOCK_BYTE_SIZE 18
+
+FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
+    if (binding_idx == BINDING_IDX_K) {
+        uint vui_lo = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+        return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(
+            kvalues_iq4nl[vui_lo & 0xF],
+            kvalues_iq4nl[(vui_lo >> 8) & 0xF],
+            kvalues_iq4nl[vui_hi & 0xF],
+            kvalues_iq4nl[(vui_hi >> 8) & 0xF]);
+    } else {
+        uint vui_lo = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0]);
+        uint vui_hi = uint(v_packed.v_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]);
+        uint shift = (iqs & 0x10) >> 2;
+        vui_lo >>= shift;
+        vui_hi >>= shift;
+
+        return FLOAT_TYPE(v_packed.v_data_packed16[a_offset + ib].d) * FLOAT_TYPEV4(
+            kvalues_iq4nl[vui_lo & 0xF],
+            kvalues_iq4nl[(vui_lo >> 8) & 0xF],
+            kvalues_iq4nl[vui_hi & 0xF],
+            kvalues_iq4nl[(vui_hi >> 8) & 0xF]);
+    }
+}
+#endif
 #if defined(DATA_A_Q8_0)
 #define BLOCK_BYTE_SIZE 34
 FLOAT_TYPEV4 dequantize4(uint ib, uint iqs, uint a_offset, uint binding_idx) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
index 0ea181342..8a7bbaeb9 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp
@@ -17,8 +17,57 @@
 #extension GL_EXT_null_initializer : enable
 
 #include "types.glsl"
-#include "dequant_funcs_cm2.glsl"
 #include "flash_attn_base.glsl"
+#include "dequant_funcs_cm2.glsl"
+
+// buffer_reference stride = sizeof(struct) = FaBlockBytesK/V.
+layout(buffer_reference, std430, buffer_reference_align = 1) buffer decodeBufFA_K {
+    uint8_t raw[FaBlockBytesK];
+};
+layout(buffer_reference, std430, buffer_reference_align = 1) buffer decodeBufFA_V {
+    uint8_t raw[FaBlockBytesV];
+};
+
+uint fa_block_elems(uint ty) {
+    switch (ty) {
+        case 0u:  return 4u;  // GGML_TYPE_F32: vec4 block (matches decodeBufF32 / dequantFuncF32)
+        case 1u:  return 1u;  // GGML_TYPE_F16
+        case 2u:  return uint(QUANT_K_Q4_0);
+        case 3u:  return uint(QUANT_K_Q4_1);
+        case 6u:  return uint(QUANT_K_Q5_0);
+        case 7u:  return uint(QUANT_K_Q5_1);
+        case 8u:  return uint(QUANT_K_Q8_0);
+        case 41u: return uint(QUANT_K_Q1_0);
+        default:
+            return 1u;
+    }
+}
+
+float16_t faDecodeK(const decodeBufFA_K bl_in, const uint blockCoords[2], const uint coordInBlock[2]) {
+    switch (FaTypeK) {
+        case 0u: return dequantFuncF32(decodeBufF32(bl_in), blockCoords, coordInBlock);
+        case 2u: return dequantFuncQ4_0(decodeBufQ4_0(bl_in), blockCoords, coordInBlock);
+        case 3u: return dequantFuncQ4_1(decodeBufQ4_1(bl_in), blockCoords, coordInBlock);
+        case 6u: return dequantFuncQ5_0(decodeBufQ5_0(bl_in), blockCoords, coordInBlock);
+        case 7u: return dequantFuncQ5_1(decodeBufQ5_1(bl_in), blockCoords, coordInBlock);
+        case 8u: return dequantFuncQ8_0(decodeBufQ8_0(bl_in), blockCoords, coordInBlock);
+        case 41u: return dequantFuncQ1_0(decodeBufQ1_0(bl_in), blockCoords, coordInBlock);
+        default: return float16_t(0);
+    }
+}
+
+float16_t faDecodeV(const decodeBufFA_V bl_in, const uint blockCoords[2], const uint coordInBlock[2]) {
+    switch (FaTypeV) {
+        case 0u: return dequantFuncF32(decodeBufF32(bl_in), blockCoords, coordInBlock);
+        case 2u: return dequantFuncQ4_0(decodeBufQ4_0(bl_in), blockCoords, coordInBlock);
+        case 3u: return dequantFuncQ4_1(decodeBufQ4_1(bl_in), blockCoords, coordInBlock);
+        case 6u: return dequantFuncQ5_0(decodeBufQ5_0(bl_in), blockCoords, coordInBlock);
+        case 7u: return dequantFuncQ5_1(decodeBufQ5_1(bl_in), blockCoords, coordInBlock);
+        case 8u: return dequantFuncQ8_0(decodeBufQ8_0(bl_in), blockCoords, coordInBlock);
+        case 41u: return dequantFuncQ1_0(decodeBufQ1_0(bl_in), blockCoords, coordInBlock);
+        default: return float16_t(0);
+    }
+}
 
 layout (binding = 0) readonly buffer Q {uint8_t data_q[];};
 layout (binding = 1) readonly buffer K {uint8_t data_k[];};
@@ -55,12 +104,6 @@ ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE ele
     return max(elem0, elem1);
 }
 
-#if BLOCK_SIZE > 1
-#define DECODEFUNC , DEQUANTFUNC
-#else
-#define DECODEFUNC
-#endif
-
 // Store the output when doing grouped query attention.
 // Rows index by Q's dimension 2, and the first N rows are valid.
 D_TYPE perElemOpGqaStore(const in uint32_t r, const in uint32_t c, const in D_TYPE elem, const in uint32_t o_offset, const in uint32_t iq2, const in uint32_t N)
@@ -95,10 +138,6 @@ ACC_TYPE perElemOpNonGqaSplitKStoreCol0(const in uint32_t r, const in uint32_t c
 }
 
 void main() {
-#ifdef NEEDS_INIT_IQ_SHMEM
-    init_iq_shmem(gl_WorkGroupSize);
-#endif
-
     init_indices();
 
     tensorLayoutNV<2, gl_CooperativeMatrixClampModeConstantNV> tensorLayoutQ = createTensorLayoutNV(2, gl_CooperativeMatrixClampModeConstantNV);
@@ -107,10 +146,10 @@ void main() {
 
     tensorViewNV<2, false, 1, 0> tensorViewTranspose = createTensorViewNV(2, false, 1, 0);
 
-#if BLOCK_SIZE > 1
-    tensorLayoutK = setTensorLayoutBlockSizeNV(tensorLayoutK, 1, BLOCK_SIZE);
-    tensorLayoutV = setTensorLayoutBlockSizeNV(tensorLayoutV, 1, BLOCK_SIZE);
-#endif
+    const uint bs_k = fa_block_elems(FaTypeK);
+    const uint bs_v = fa_block_elems(FaTypeV);
+    tensorLayoutK = setTensorLayoutBlockSizeNV(tensorLayoutK, 1, bs_k);
+    tensorLayoutV = setTensorLayoutBlockSizeNV(tensorLayoutV, 1, bs_v);
 
     tensorLayoutQ = setTensorLayoutDimensionNV(tensorLayoutQ, N, HSK);
     tensorLayoutK = setTensorLayoutDimensionNV(tensorLayoutK, KV, HSK);
@@ -120,10 +159,12 @@ void main() {
     if (Clamp != gl_CooperativeMatrixClampModeConstantNV)
     {
         q_stride &= ~7;
-#if BLOCK_SIZE == 1
-        k_stride &= ~7;
-        v_stride &= ~7;
-#endif
+        if (bs_k == 1u) {
+            k_stride &= ~7;
+        }
+        if (bs_v == 1u) {
+            v_stride &= ~7;
+        }
         m_stride &= ~7;
     }
     tensorLayoutQ = setTensorLayoutStrideNV(tensorLayoutQ, q_stride, 1);
@@ -230,7 +271,13 @@ void main() {
         coopmat<float16_t, gl_ScopeWorkgroup, HSK_pad, Bc, gl_MatrixUseB> K_T;
 
         uint32_t k_offset = ik2*p.nb12 + ik3*p.nb13;
-        coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose DECODEFUNC);
+        // F16: bs_k==1 (direct load). F32: bs_k==4 (vec4 / dequantFuncF32). Q4/Q8 family: bs_k==32. Q1_0: bs_k==128.
+        const bool k_use_decode = (bs_k > 1u);
+        if (k_use_decode) {
+            coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose, faDecodeK);
+        } else {
+            coopMatLoadTensorNV(K_T, data_k, k_offset, sliceTensorLayoutNV(tensorLayoutK, j * Bc, Bc, 0, HSK_pad), tensorViewTranspose);
+        }
         S = coopMatMulAdd(Qf16, K_T, S);
 
         if (LOGIT_SOFTCAP) {
@@ -291,7 +338,12 @@ void main() {
 
         coopmat<float16_t, gl_ScopeWorkgroup, Bc, HSV_pad, gl_MatrixUseB> V;
         uint32_t v_offset = iv2*p.nb22 + iv3*p.nb23;
-        coopMatLoadTensorNV(V,  data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad) DECODEFUNC);
+        const bool v_use_decode = (bs_v > 1u);
+        if (v_use_decode) {
+            coopMatLoadTensorNV(V, data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad), faDecodeV);
+        } else {
+            coopMatLoadTensorNV(V, data_v, v_offset, sliceTensorLayoutNV(tensorLayoutV, j * Bc, Bc, 0, HSV_pad));
+        }
 
         L = eM*L + rowsum;
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl
new file mode 100644
index 000000000..e14e62d54
--- /dev/null
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_mmq_funcs.glsl
@@ -0,0 +1,149 @@
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+#ifdef DATA_A_Q4_0
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+#else
+    uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4];
+#endif
+
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    return int32_t(vui & 0x0F0F0F0F);
+}
+#endif
+
+#if defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+#ifdef DATA_A_Q5_0
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+    uint qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qh[0],
+                             k_packed.k_data_packed16[a_offset + ib].qh[1]));
+#else
+    uint vui = k_packed32.k_data_packed32[a_offset + ib].qs[(iqs & 0xF) / 4];
+    uint qh = k_packed.k_data_packed16[a_offset + ib].qh;
+#endif
+
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    uint qh_bits = (qh >> iqs) & 0xF;
+    return int32_t(vui & 0x0F0F0F0F) | int32_t((qh_bits * 0x02040810u) & 0x10101010u);
+}
+#endif
+
+#if defined(DATA_A_Q8_0)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+    return pack32(i16vec2(k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2], k_packed.k_data_packed16[a_offset + ib].qs[iqs / 2 + 1]));
+}
+#endif
+
+#if defined(DATA_A_IQ4_NL)
+int32_t get_k_qs(uint ib, uint iqs, uint a_offset) {
+    uint vui = pack32(u16vec2(k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 0],
+                              k_packed.k_data_packed16[a_offset + ib].qs[(iqs & 0xF) / 2 + 1]));
+    uint shift = (iqs & 0x10) >> 2;
+    vui >>= shift;
+
+    u8vec4 idx = unpack8(vui & 0x0F0F0F0F);
+    return pack32(i8vec4(kvalues_iq4nl_const[idx.x],
+                         kvalues_iq4nl_const[idx.y],
+                         kvalues_iq4nl_const[idx.z],
+                         kvalues_iq4nl_const[idx.w]));
+}
+#endif
+
+#if QUANT_AUXF == 1
+FLOAT_TYPE get_k_d(uint ib, uint a_offset) {
+    return FLOAT_TYPE(k_packed.k_data_packed16[a_offset + ib].d);
+}
+#else
+FLOAT_TYPEV2 get_k_dm(uint ib, uint a_offset) {
+    return FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + ib].dm);
+}
+#endif
+
+void k_block_to_shmem(const uint buf_ib, const uint global_ib, const uint iqs, const uint a_offset) {
+#if defined(DATA_A_Q4_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+#elif defined(DATA_A_Q4_1)
+    kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs];
+#elif defined(DATA_A_Q5_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+    if (iqs == 0) {
+        kblocksh[buf_ib].qh = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qh[0],
+                                             k_packed.k_data_packed16[a_offset + global_ib].qh[1]));
+    }
+#elif defined(DATA_A_Q5_1)
+    kblocksh[buf_ib].qs[iqs] = k_packed32.k_data_packed32[a_offset + global_ib].qs[iqs];
+    if (iqs == 0) {
+        kblocksh[buf_ib].qh = k_packed.k_data_packed16[a_offset + global_ib].qh;
+    }
+#elif defined(DATA_A_Q8_0)
+    kblocksh[buf_ib].qs[iqs] = pack32(i16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                              k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+#elif defined(DATA_A_IQ4_NL)
+    const uint qs = pack32(u16vec2(k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2],
+                                   k_packed.k_data_packed16[a_offset + global_ib].qs[iqs * 2 + 1]));
+    const u8vec4 i_a0 = unpack8( qs       & 0x0F0F0F0F);
+    const u8vec4 i_a1 = unpack8((qs >> 4) & 0x0F0F0F0F);
+    kblocksh[buf_ib].qs[iqs    ] = pack32(i8vec4(kvalues_iq4nl_const[i_a0.x], kvalues_iq4nl_const[i_a0.y],
+                                                 kvalues_iq4nl_const[i_a0.z], kvalues_iq4nl_const[i_a0.w]));
+    kblocksh[buf_ib].qs[iqs + 4] = pack32(i8vec4(kvalues_iq4nl_const[i_a1.x], kvalues_iq4nl_const[i_a1.y],
+                                                 kvalues_iq4nl_const[i_a1.z], kvalues_iq4nl_const[i_a1.w]));
+#endif
+
+    if (iqs == 0) {
+#if QUANT_AUXF == 1
+        kblocksh[buf_ib].dm = FLOAT_TYPE(k_packed.k_data_packed16[a_offset + global_ib].d);
+#else
+        kblocksh[buf_ib].dm = FLOAT_TYPEV2(k_packed32.k_data_packed32[a_offset + global_ib].dm);
+#endif
+    }
+}
+
+int32_t get_k_qs_shmem(const uint buf_ib, const uint pos) {
+#if defined(DATA_A_Q4_0) || defined(DATA_A_Q4_1)
+    uint sub = pos % 4;
+    uint shift = ((pos % 8) >= 4) ? 4 : 0;
+    return int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F);
+#elif defined(DATA_A_Q5_0) || defined(DATA_A_Q5_1)
+    uint sub = pos % 4;
+    uint shift = ((pos % 8) >= 4) ? 4 : 0;
+    int32_t result = int32_t((kblocksh[buf_ib].qs[sub] >> shift) & 0x0F0F0F0F);
+    uint qh_bits = (kblocksh[buf_ib].qh >> (pos * 4)) & 0xF;
+    return result | int32_t((qh_bits * 0x02040810u) & 0x10101010u);
+#elif defined(DATA_A_Q8_0) || defined(DATA_A_IQ4_NL)
+    return kblocksh[buf_ib].qs[pos];
+#endif
+}
+
+ACC_TYPE k_dot_correction(const uint qib, const ACC_TYPEV2 k_dm) {
+#if defined(DATA_A_Q4_0)
+    return -ACC_TYPE(8.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x;
+#elif defined(DATA_A_Q5_0)
+    return -ACC_TYPE(16.0) * ACC_TYPE(Qf[qib].ds.y) * k_dm.x;
+#elif defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
+    return ACC_TYPE(Qf[qib].ds.y) * k_dm.y;
+#else
+    return ACC_TYPE(0.0);
+#endif
+}
+
+void k_block_to_shmem_zero(const uint buf_ib, const uint iqs) {
+    kblocksh[buf_ib].qs[iqs] = 0;
+#if defined(DATA_A_IQ4_NL)
+    kblocksh[buf_ib].qs[iqs + 4] = 0;
+#endif
+    if (iqs == 0) {
+#if QUANT_AUXF == 1
+        kblocksh[buf_ib].dm = FLOAT_TYPE(0.0f);
+#else
+        kblocksh[buf_ib].dm = FLOAT_TYPEV2(0.0f);
+#endif
+    }
+}
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
index ba7909c4d..dc657f3c7 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/generic_binary_head.glsl
@@ -1,7 +1,6 @@
 #extension GL_EXT_shader_16bit_storage : require
 #extension GL_EXT_control_flow_attributes : require
 
-#include "rte.glsl"
 #include "utils.glsl"
 #if RMS_NORM_ROPE_FUSION
 #include "rope_params.glsl"
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
index 95298922d..d8fdd8f7b 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/glu_head.glsl
@@ -1,6 +1,5 @@
 #extension GL_EXT_shader_16bit_storage : require
 
-#include "rte.glsl"
 
 layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp b/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
index db14f5a3c..ba4c2103f 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/im2col.comp
@@ -3,7 +3,6 @@
 #extension GL_EXT_shader_16bit_storage : require
 #extension GL_EXT_control_flow_attributes : require
 
-#include "rte.glsl"
 #include "types.glsl"
 
 layout (push_constant) uniform parameter
@@ -14,7 +13,7 @@ layout (push_constant) uniform parameter
     uint IW; uint IH;
     uint OW; uint OH;
     uint KW; uint KH;
-    uint pelements;
+    uint OH_batch;
     uint CHW;
     int s0; int s1;
     int p0; int p1;
@@ -35,82 +34,60 @@ layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
 layout (buffer_reference) buffer D_ptr {D_TYPE d;};
 #endif
 
-void im2col(const uint y, const uint z) {
-    const uint gidx = gl_GlobalInvocationID.x;
+void im2col(const uint ow, const uint z_idx) {
+    const uint oh = z_idx % p.OH;
+    const uint batch_idx = z_idx / p.OH;
 
-    const uint oh = y;
-    const uint batch = z / p.IC;
-    const uint ic = z % p.IC;
+    const uint gidx = gl_LocalInvocationID.x;
+    const uint src_batch = batch_idx * p.batch_offset;
+    const BDA_OFFSET_T dst_row = ((BDA_OFFSET_T(batch_idx) * p.OH + oh) * p.OW + ow) * p.CHW;
 
-    const uint src_base = ic * p.offset_delta + batch * p.batch_offset;
-    const BDA_OFFSET_T dst_base = ((BDA_OFFSET_T(batch) * p.OH + oh) * p.OW) * p.CHW + BDA_OFFSET_T(ic) * (p.KW * p.KH);
-    const int oh_s1 = int(oh) * p.s1;
-    const uint ksize = p.OW * p.KH;
+    const uint KHKW = p.KH * p.KW;
 
-    const uint base_linear_idx = gidx * NUM_ITER;
+    uint wg_x = gl_WorkGroupID.x;
+    do {
+        const uint wg_offset = wg_x * 512;
 
-    uint current_kx = base_linear_idx / ksize;
-    const uint rem = base_linear_idx - (current_kx * ksize);
-    uint current_ky = rem / p.OW;
-    uint current_ix = rem % p.OW;
+        [[unroll]] for (uint i = 0; i < NUM_ITER; ++i) {
+            const uint chw_idx = wg_offset + gidx + i * BLOCK_SIZE;
 
-    A_TYPE values[NUM_ITER];
-    BDA_OFFSET_T offset_dst[NUM_ITER];
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
-        values[idx] = A_TYPE(0);
-    }
-
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
-
-        const uint linear_idx = base_linear_idx + idx;
-
-        if (linear_idx >= p.pelements) {
-            continue;
-        }
-
-        const uint iiw = current_ix * p.s0 + current_kx * p.d0 - p.p0;
-        const uint iih = oh_s1 + current_ky * p.d1 - p.p1;
-
-        offset_dst[idx] = dst_base + BDA_OFFSET_T(current_ix) * p.CHW + current_ky * p.KW + current_kx;
-
-        if ((iih < p.IH) && (iiw < p.IW)) {
-            values[idx] = data_a[src_base + iih * p.IW + iiw];
-        }
-
-        if (++current_ix == p.OW) {
-            current_ix = 0;
-            if (++current_ky == p.KH) {
-                current_ky = 0;
-                current_kx++;
+            if (chw_idx >= p.CHW) {
+                return;
             }
-        }
-    }
 
-    [[unroll]] for (uint idx = 0; idx < NUM_ITER; ++idx) {
+            const uint ic = chw_idx / KHKW;
+            const uint rem = chw_idx - ic * KHKW;
+            const uint ky = rem / p.KW;
+            const uint kx = rem - ky * p.KW;
 
-        const uint linear_idx = base_linear_idx + idx;
+            const uint iiw = ow * p.s0 + kx * p.d0 - p.p0;
+            const uint iih = oh * p.s1 + ky * p.d1 - p.p1;
 
-        if (linear_idx >= p.pelements) {
-            continue;
-        }
+            A_TYPE val = A_TYPE(0);
+            if (iih < p.IH && iiw < p.IW) {
+                val = data_a[src_batch + ic * p.offset_delta + iih * p.IW + iiw];
+            }
 
 #if BDA
-        D_ptr dst_addr = D_ptr(p.dst_addr + D_SIZE * offset_dst[idx]);
-        dst_addr.d = D_TYPE(values[idx]);
+            D_ptr out_ptr = D_ptr(p.dst_addr + D_SIZE * (dst_row + chw_idx));
+            out_ptr.d = D_TYPE(val);
 #else
-        data_d[offset_dst[idx]] = D_TYPE(values[idx]);
+            data_d[dst_row + chw_idx] = D_TYPE(val);
 #endif
-    }
+        }
+
+        wg_x += gl_NumWorkGroups.x;
+    } while (wg_x * 512 < p.CHW);
 }
 
 void main() {
-    uint y = gl_GlobalInvocationID.y;
-    while (y < p.OH) {
+    uint ow = gl_GlobalInvocationID.y;
+    while (ow < p.OW) {
         uint z = gl_GlobalInvocationID.z;
-        while (z < p.batch_IC) {
-            im2col(y, z);
+        while (z < p.OH_batch) {
+            im2col(ow, z);
             z += gl_NumWorkGroups.z;
         }
-        y += gl_NumWorkGroups.y;
+        ow += gl_NumWorkGroups.y;
     }
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp b/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
index 4bf8b4ca0..93f61fd85 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/im2col_3d.comp
@@ -4,7 +4,6 @@
 #extension GL_EXT_control_flow_attributes : require
 #extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
 
-#include "rte.glsl"
 #include "types.glsl"
 
 layout (push_constant) uniform parameter
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/log.comp b/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
index ff2812d3d..3cda6a63c 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/log.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
index 337dbd796..e8d053cdd 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iface.glsl
@@ -6,8 +6,8 @@
 #define MAT_VEC_FUSION_FLAGS_SCALE1 0x8
 
 layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-#if defined(A_TYPE_VEC4)
-layout (binding = 0) readonly buffer AV4 {A_TYPE_VEC4 data_a_v4[];};
+#if defined(A_TYPEV4)
+layout (binding = 0) readonly buffer AV4 {A_TYPEV4 data_a_v4[];};
 #endif
 #if defined(A_TYPE_PACKED16)
 layout (binding = 0) readonly buffer A_PACKED16 {A_TYPE_PACKED16 data_a_packed16[];};
@@ -17,11 +17,11 @@ layout (binding = 0) readonly buffer A_PACKED32 {A_TYPE_PACKED32 data_a_packed32
 #endif
 
 layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-#ifdef B_TYPE_VEC2
-layout (binding = 1) readonly buffer BV2 {B_TYPE_VEC2 data_b_v2[];};
+#ifdef B_TYPEV2
+layout (binding = 1) readonly buffer BV2 {B_TYPEV2 data_b_v2[];};
 #endif
-#ifdef B_TYPE_VEC4
-layout (binding = 1) readonly buffer BV4 {B_TYPE_VEC4 data_b_v4[];};
+#ifdef B_TYPEV4
+layout (binding = 1) readonly buffer BV4 {B_TYPEV4 data_b_v4[];};
 #endif
 
 layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
index 619de054c..975cec801 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q2_k.comp
@@ -41,7 +41,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint itid,
         const vec4 qs_u32_4 = vec4(unpack8((qs_u32 >> 4) & 0x03030303));
         const vec4 qs_u32_6 = vec4(unpack8((qs_u32 >> 6) & 0x03030303));
 
-        const FLOAT_TYPE_VEC2 dm = vec2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = vec2(data_a[ib0 + i].dm);
 
         [[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
             vec2 b0 =   vec2(data_b_v2[(j*p.batch_stride_b + b_offset + y_idx) / 2 +  0]);
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
index 6af5a8158..93fbacc62 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q4_k.comp
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
 
     [[unroll]] for (uint n = 0; n < num_rows; ++n) {
         const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
-        const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
 
         const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im    ];
         const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
index 3695b47b9..54d7e1bcd 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q5_k.comp
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
 
     [[unroll]] for (uint n = 0; n < num_rows; ++n) {
         const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
-        const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
+        const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
 
         const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im    ];
         const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
index 6ddbed309..bc580aeeb 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vecq_funcs.glsl
@@ -11,8 +11,8 @@ FLOAT_TYPE get_dm(uint ib) {
 #endif
 
 #if defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
-FLOAT_TYPE_VEC2 get_dm(uint ib) {
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+FLOAT_TYPEV2 get_dm(uint ib) {
+    return FLOAT_TYPEV2(data_a_packed32[ib].dm);
 }
 #endif
 
@@ -23,9 +23,9 @@ FLOAT_TYPE get_dm(uint ib) {
 #endif
 
 #if defined(DATA_A_Q2_K)
-FLOAT_TYPE_VEC2 get_dm(uint ib) {
+FLOAT_TYPEV2 get_dm(uint ib) {
     const uint ib_k = ib / 8;
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
+    return FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
 }
 #endif
 
@@ -296,15 +296,24 @@ vec2 get_dm_scale(uint ib, uint iqs) {
     const uint ib_k = ib / 8;
     const uint iqs_k = (ib % 8) * 8 + iqs;
     const uint is = iqs_k / 8;
-    u8vec2 scale_dm;
-    if (is < 4) {
-        scale_dm = u8vec2(data_a[ib_k].scales[is] & 0x3F, data_a[ib_k].scales[is + 4] & 0x3F);
-    } else {
-        scale_dm = u8vec2((data_a[ib_k].scales[is+4] & 0xF) | ((data_a[ib_k].scales[is-4] & 0xC0) >> 2),
-                          (data_a[ib_k].scales[is+4] >>  4) | ((data_a[ib_k].scales[is  ] & 0xC0) >> 2));
-    }
 
-    return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm) * FLOAT_TYPE_VEC2(scale_dm);
+    const uvec3 scales = uvec3(data_a_packed32[ib_k].scales[0],
+                               data_a_packed32[ib_k].scales[1],
+                               data_a_packed32[ib_k].scales[2]);
+    const uint scalesoffs = (is & 3) * 8;
+
+    const uint scidx0 = (is < 4) ? 0 : 2;
+    const uint scidxshift0 = scalesoffs;
+    const uint scidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
+    const uint mbidx0 = (is < 4) ? 1 : 2;
+    const uint mbidxshift0 = (is < 4) ? scalesoffs : scalesoffs + 4;
+    const uint mbidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
+
+    const uint8_t sc    = uint8_t(((scales[scidx0] >> scidxshift0) & 0xF) | ((scales[0] >> scidxshift1) & 0x30));
+    const uint8_t mbyte = uint8_t(((scales[mbidx0] >> mbidxshift0) & 0xF) | ((scales[1] >> mbidxshift1) & 0x30));
+    u8vec2 scale_dm = u8vec2(sc, mbyte);
+
+    return FLOAT_TYPEV2(data_a_packed32[ib_k].dm) * FLOAT_TYPEV2(scale_dm);
 }
 
 FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
@@ -422,7 +431,7 @@ vec2 get_dm(uint ib, uint iqs) {
     const float dl = d * float(2 * bitfieldExtract(qh, 12, 3) + 1);
 
     // the -1 cancels out the bias in iq1s_grid_gpu
-    return FLOAT_TYPE_VEC2(dl, dl * (delta - 1));
+    return FLOAT_TYPEV2(dl, dl * (delta - 1));
 }
 
 FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
index 23f3bd8d6..89346e48e 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp
@@ -125,8 +125,8 @@ layout (constant_id = 3) const uint BK = 16;  // Assumed to be 32 if working wit
 #define SHMEM_STRIDE (BK / 2 + 1)
 #endif
 
-shared FLOAT_TYPE_VEC2 buf_a[BM * SHMEM_STRIDE];
-shared FLOAT_TYPE_VEC2 buf_b[BN * SHMEM_STRIDE];
+shared FLOAT_TYPEV2 buf_a[BM * SHMEM_STRIDE];
+shared FLOAT_TYPEV2 buf_b[BN * SHMEM_STRIDE];
 
 #define NUM_WARPS (BLOCK_SIZE / WARP)
 
@@ -258,17 +258,17 @@ void main() {
         sums[i] = coopmat<ACC_TYPE, gl_ScopeSubgroup, TM, TN, gl_MatrixUseAccumulator>(0.0f);
     }
 #else
-    ACC_TYPE_VEC2 sums[WMITER * TM * WNITER * TN/2];
+    ACC_TYPEV2 sums[WMITER * TM * WNITER * TN/2];
 #if defined(DATA_A_F32) || defined(DATA_A_F16)
-    FLOAT_TYPE_VEC4 cache_a[WMITER * TM];
-    FLOAT_TYPE_VEC4 cache_b;
+    FLOAT_TYPEV4 cache_a[WMITER * TM];
+    FLOAT_TYPEV4 cache_b;
 #else
-    FLOAT_TYPE_VEC2 cache_a[WMITER * TM];
-    FLOAT_TYPE_VEC2 cache_b;
+    FLOAT_TYPEV2 cache_a[WMITER * TM];
+    FLOAT_TYPEV2 cache_b;
 #endif
 
     [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN/2; i++) {
-        sums[i] = ACC_TYPE_VEC2(0.0f, 0.0f);
+        sums[i] = ACC_TYPEV2(0.0f, 0.0f);
     }
 #endif
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
index 3f494eb4d..735951689 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_funcs.glsl
@@ -3,7 +3,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 #if LOAD_VEC_A == 8
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC8 aa = FLOAT_TYPE_VEC8(data_a[idx]);
+            FLOAT_TYPEV8 aa = FLOAT_TYPEV8(data_a[idx]);
             buf_a[buf_idx    ] = aa[0].xy;
             buf_a[buf_idx + 1] = aa[0].zw;
             buf_a[buf_idx + 2] = aa[1].xy;
@@ -11,38 +11,38 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 #elif LOAD_VEC_A == 4
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(data_a[idx]);
+            FLOAT_TYPEV4 aa = FLOAT_TYPEV4(data_a[idx]);
             buf_a[buf_idx    ] = aa.xy;
             buf_a[buf_idx + 1] = aa.zw;
 #else // LOAD_VEC_BATCH_A == 2
             const uint idx = pos_a + col * p.stride_a + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_m < p.M && block + row * 2 + 1 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx],
-                                                 data_a[idx + 1]);
+                buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx],
+                                              data_a[idx + 1]);
             } else if (idx_m < p.M && block + row * 2 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx], 0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx], 0.0f);
             } else {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 #elif defined(DATA_A_BF16)
 #if LOAD_VEC_A == 4
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
-            FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_a[idx]));
+            FLOAT_TYPEV4 aa = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_a[idx]));
             buf_a[buf_idx    ] = aa.xy;
             buf_a[buf_idx + 1] = aa.zw;
 #else // LOAD_VEC_BATCH_A == 2
             const uint idx = pos_a + col * p.stride_a + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_m < p.M && block + row * 2 + 1 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]),
-                                                 TO_FLOAT_TYPE(data_a[idx + 1]));
+                buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]),
+                                              TO_FLOAT_TYPE(data_a[idx + 1]));
             } else if (idx_m < p.M && block + row * 2 < end_k) {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
             } else {
-                buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 #elif defined(DATA_A_Q4_0)
@@ -57,10 +57,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = (vec4(unpack8(vui & 0x0F0F0F0F)) - 8.0f) * d;
             const vec4 v1 = (vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) - 8.0f) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v0.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v0.zw);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v1.xy);
-            buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v0.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v0.zw);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v1.xy);
+            buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.zw);
 #elif defined(DATA_A_Q4_1)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -73,10 +73,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = vec4(unpack8(vui & 0x0F0F0F0F)) * dm.x + dm.y;
             const vec4 v1 = vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) * dm.x + dm.y;
 
-            buf_a[buf_idx     ] = FLOAT_TYPE_VEC2(v0.xy);
-            buf_a[buf_idx + 1 ] = FLOAT_TYPE_VEC2(v0.zw);
-            buf_a[buf_idx + 8 ] = FLOAT_TYPE_VEC2(v1.xy);
-            buf_a[buf_idx + 9 ] = FLOAT_TYPE_VEC2(v1.zw);
+            buf_a[buf_idx     ] = FLOAT_TYPEV2(v0.xy);
+            buf_a[buf_idx + 1 ] = FLOAT_TYPEV2(v0.zw);
+            buf_a[buf_idx + 8 ] = FLOAT_TYPEV2(v1.xy);
+            buf_a[buf_idx + 9 ] = FLOAT_TYPEV2(v1.zw);
 #elif defined(DATA_A_Q5_0)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -92,8 +92,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint vui = uint(data_a_packed16[ib].qs[iqs]);
             const vec4 v = (vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, (vui >> 12) | qh1.y) - 16.0f) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xz);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v.yw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xz);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v.yw);
 #elif defined(DATA_A_Q5_1)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -112,10 +112,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 v0 = vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, ((vui >> 12) & 0xF) | qh1.y) * dm.x + dm.y;
             const vec4 v1 = vec4(((vui >> 16) & 0xF) | qh2.x, ((vui >> 20) & 0xF) | qh2.y, ((vui >> 24) & 0xF) | qh3.x, ((vui >> 28) & 0xF) | qh3.y) * dm.x + dm.y;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v0.xz);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v1.xz);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v0.yw);
-            buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.yw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v0.xz);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v1.xz);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(v0.yw);
+            buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.yw);
 #elif defined(DATA_A_Q8_0)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -128,8 +128,22 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const i8vec2 v1 = unpack8(int32_t(data_a_packed16[ib].qs[2*iqs + 1])).xy;
             const vec4 v = vec4(v0.x, v0.y, v1.x, v1.y) * d;
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
+#elif defined(DATA_A_Q1_0)
+            const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
+            const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xfu;
+
+            const float d = float(data_a[ib].d);
+            const uint bits = uint(data_a[ib].qs[iqs]);
+
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((bits & 0x01u) != 0u ? d : -d, (bits & 0x02u) != 0u ? d : -d);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((bits & 0x04u) != 0u ? d : -d, (bits & 0x08u) != 0u ? d : -d);
+            buf_a[buf_idx + 2] = FLOAT_TYPEV2((bits & 0x10u) != 0u ? d : -d, (bits & 0x20u) != 0u ? d : -d);
+            buf_a[buf_idx + 3] = FLOAT_TYPEV2((bits & 0x40u) != 0u ? d : -d, (bits & 0x80u) != 0u ? d : -d);
 #elif defined(DATA_A_Q2_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -147,8 +161,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 
             const vec4 v = dm.x * float(scales & 0xF) * qs - dm.y * float(scales >> 4);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
 #elif defined(DATA_A_Q3_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -171,8 +185,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec2 qs = vec2(unpack8((uint(data_a_packed16[ib].qs[qsi / 2]) >> qsshift) & 0x0303).xy);
             const vec2 hm = vec2(unpack8(((uint(data_a_packed16[ib].hmask[hmi / 2]) >> (4 * n + halfsplit)) & 0x0101 ^ 0x0101) << 2).xy);
 
-            buf_a[buf_idx] = FLOAT_TYPE_VEC2(dl * (qs.x - hm.x),
-                                             dl * (qs.y - hm.y));
+            buf_a[buf_idx] = FLOAT_TYPEV2(dl * (qs.x - hm.x),
+                                          dl * (qs.y - hm.y));
 #elif defined(DATA_A_Q4_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -187,27 +201,28 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 
             const vec2 loadd = vec2(data_a[ib].dm);
 
-            const uint scidx0 = (is < 4) ? is : (is + 4);
-            const uint scidx1 = (is < 4) ? is : (is - 4);
-            const uint scidxmask1 = (is < 4) ? 0x30 : 0xC0;
-            const uint scidxshift1 = (is < 4) ? 0 : 2;
-            const uint mbidx0 = is + 4;
-            const uint mbidx1 = (is < 4) ? is + 4 : is;
-            const uint mbidxmask0 = (is < 4) ? 0xF : 0xF0;
-            const uint mbidxshift0 = (is < 4) ? 0 : 4;
-            const uint mbidxmask1 = (is < 4) ? 0x30 : 0xC0;
-            const uint mbidxshift1 = (is < 4) ? 0 : 2;
+            const uvec3 scales = uvec3(data_a_packed32[ib].scales[0],
+                                       data_a_packed32[ib].scales[1],
+                                       data_a_packed32[ib].scales[2]);
+            const uint scalesoffs = (is & 3) * 8;
 
-            const uint8_t sc = uint8_t((data_a[ib].scales[scidx0] & 0xF) | ((data_a[ib].scales[scidx1] & scidxmask1) >> scidxshift1));
-            const uint8_t mbyte = uint8_t((data_a[ib].scales[mbidx0] & mbidxmask0) >> mbidxshift0 | ((data_a[ib].scales[mbidx1] & mbidxmask1) >> mbidxshift1));
+            const uint scidx0 = (is < 4) ? 0 : 2;
+            const uint scidxshift0 = scalesoffs;
+            const uint scidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
+            const uint mbidx0 = (is < 4) ? 1 : 2;
+            const uint mbidxshift0 = (is < 4) ? scalesoffs : scalesoffs + 4;
+            const uint mbidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
+
+            const uint8_t sc    = uint8_t(((scales[scidx0] >> scidxshift0) & 0xF) | ((scales[0] >> scidxshift1) & 0x30));
+            const uint8_t mbyte = uint8_t(((scales[mbidx0] >> mbidxshift0) & 0xF) | ((scales[1] >> mbidxshift1) & 0x30));
 
             const float d = loadd.x * sc;
             const float m = -loadd.y * mbyte;
 
             const vec4 q = vec4(unpack8((data_a_packed32[ib].qs[qsi / 4] >> (b * 4)) & 0x0F0F0F0F));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
 #elif defined(DATA_A_Q5_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -223,19 +238,20 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
 
             const vec2 loadd = vec2(data_a[ib].dm);
 
-            const uint scidx0 = (is < 4) ? is : (is + 4);
-            const uint scidx1 = (is < 4) ? is : (is - 4);
-            const uint scidxmask1 = (is < 4) ? 0x30 : 0xC0;
-            const uint scidxshift1 = (is < 4) ? 0 : 2;
-            const uint mbidx0 = is + 4;
-            const uint mbidx1 = (is < 4) ? is + 4 : is;
-            const uint mbidxmask0 = (is < 4) ? 0xF : 0xF0;
-            const uint mbidxshift0 = (is < 4) ? 0 : 4;
-            const uint mbidxmask1 = (is < 4) ? 0x30 : 0xC0;
-            const uint mbidxshift1 = (is < 4) ? 0 : 2;
+            const uvec3 scales = uvec3(data_a_packed32[ib].scales[0],
+                                       data_a_packed32[ib].scales[1],
+                                       data_a_packed32[ib].scales[2]);
+            const uint scalesoffs = (is & 3) * 8;
+
+            const uint scidx0 = (is < 4) ? 0 : 2;
+            const uint scidxshift0 = scalesoffs;
+            const uint scidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
+            const uint mbidx0 = (is < 4) ? 1 : 2;
+            const uint mbidxshift0 = (is < 4) ? scalesoffs : scalesoffs + 4;
+            const uint mbidxshift1 = (is < 4) ? scalesoffs : scalesoffs + 2;
 
-            const uint8_t sc    = uint8_t((data_a[ib].scales[scidx0] & 0xF)                         | ((data_a[ib].scales[scidx1] & scidxmask1) >> scidxshift1));
-            const uint8_t mbyte = uint8_t(((data_a[ib].scales[mbidx0] & mbidxmask0) >> mbidxshift0) | ((data_a[ib].scales[mbidx1] & mbidxmask1) >> mbidxshift1));
+            const uint8_t sc    = uint8_t(((scales[scidx0] >> scidxshift0) & 0xF) | ((scales[0] >> scidxshift1) & 0x30));
+            const uint8_t mbyte = uint8_t(((scales[mbidx0] >> mbidxshift0) & 0xF) | ((scales[1] >> mbidxshift1) & 0x30));
 
             const float d = loadd.x * sc;
             const float m = -loadd.y * mbyte;
@@ -244,8 +260,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint qh = ((data_a_packed32[ib].qh[qhi / 4] >> (iqs / 16)) & 0x01010101) << 4;
             const vec4 q = vec4(unpack8(qs | qh));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
 #elif defined(DATA_A_Q6_K)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -267,7 +283,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint qh = (uint(data_a_packed16[ib].qh[qhi]) >> qhshift) & 0x0303;
             const vec2 q = (vec2(unpack8(ql | (qh << 4)).xy) - 32) * dscale;
 
-            buf_a[buf_idx] = FLOAT_TYPE_VEC2(q.x, q.y);
+            buf_a[buf_idx] = FLOAT_TYPEV2(q.x, q.y);
 #elif defined(DATA_A_IQ1_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -284,8 +300,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const int16_t grid = int16_t(iq1s_grid[qs | (bitfieldExtract(qh, 3 * int(ib8 & 3), 3) << 8)]);
 
             [[unroll]] for (int k = 0; k < 4; ++k) {
-                buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
-                                                     dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
+                buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
+                                                  dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
             }
 #elif defined(DATA_A_IQ1_M)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -306,8 +322,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const int16_t grid = int16_t(iq1s_grid[qs | ((qh & 7) << 8)]);
 
             [[unroll]] for (int k = 0; k < 4; ++k) {
-                buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
-                                                     dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
+                buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k    , 2) + delta),
+                                                  dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
             }
 #elif defined(DATA_A_IQ2_XXS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -332,14 +348,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ2_XS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -358,14 +374,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ2_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -386,14 +402,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const vec4 grid0 = vec4(unpack8(grid.x));
             const vec4 grid1 = vec4(unpack8(grid.y));
 
-            buf_a[buf_idx    ] = db * FLOAT_TYPE_VEC2((sign &   1) != 0 ? -grid0.x : grid0.x,
-                                                      (sign &   2) != 0 ? -grid0.y : grid0.y);
-            buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign &   4) != 0 ? -grid0.z : grid0.z,
-                                                      (sign &   8) != 0 ? -grid0.w : grid0.w);
-            buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign &  16) != 0 ? -grid1.x : grid1.x,
-                                                      (sign &  32) != 0 ? -grid1.y : grid1.y);
-            buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign &  64) != 0 ? -grid1.z : grid1.z,
-                                                      (sign & 128) != 0 ? -grid1.w : grid1.w);
+            buf_a[buf_idx    ] = db * FLOAT_TYPEV2((sign &   1) != 0 ? -grid0.x : grid0.x,
+                                                   (sign &   2) != 0 ? -grid0.y : grid0.y);
+            buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign &   4) != 0 ? -grid0.z : grid0.z,
+                                                   (sign &   8) != 0 ? -grid0.w : grid0.w);
+            buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign &  16) != 0 ? -grid1.x : grid1.x,
+                                                   (sign &  32) != 0 ? -grid1.y : grid1.y);
+            buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign &  64) != 0 ? -grid1.z : grid1.z,
+                                                   (sign & 128) != 0 ? -grid1.w : grid1.w);
 #elif defined(DATA_A_IQ3_XXS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -414,10 +430,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint grid = iq3xxs_grid[qs];
             const vec4 v = db * vec4(unpack8(grid));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2((sign &   1) != 0 ? -v.x : v.x,
-                                                 (sign &   2) != 0 ? -v.y : v.y);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign &   4) != 0 ? -v.z : v.z,
-                                                 (sign &   8) != 0 ? -v.w : v.w);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((sign &   1) != 0 ? -v.x : v.x,
+                                              (sign &   2) != 0 ? -v.y : v.y);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign &   4) != 0 ? -v.z : v.z,
+                                              (sign &   8) != 0 ? -v.w : v.w);
 #elif defined(DATA_A_IQ3_S)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -436,10 +452,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)];
             const vec4 v = db * vec4(unpack8(grid));
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2((sign &   1) != 0 ? -v.x : v.x,
-                                                 (sign &   2) != 0 ? -v.y : v.y);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign &   4) != 0 ? -v.z : v.z,
-                                                 (sign &   8) != 0 ? -v.w : v.w);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2((sign &   1) != 0 ? -v.x : v.x,
+                                              (sign &   2) != 0 ? -v.y : v.y);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign &   4) != 0 ? -v.z : v.z,
+                                              (sign &   8) != 0 ? -v.w : v.w);
 #elif defined(DATA_A_IQ4_XS)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -456,8 +472,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const float d = float(data_a[ib].d);
             const vec4 v = d * float(int(sl | (sh << 4)) - 32) * vec4(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(v.xy);
-            buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(v.xy);
+            buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
 #elif defined(DATA_A_IQ4_NL)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -468,10 +484,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const FLOAT_TYPE d = FLOAT_TYPE(data_a_packed16[ib].d);
             const uint vui = uint(data_a_packed16[ib].qs[iqs]);
 
-            buf_a[buf_idx    ] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[vui & 0xF],
-                                                      kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
-            buf_a[buf_idx + 8] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
-                                                     kvalues_iq4nl[vui >> 12]);
+            buf_a[buf_idx    ] = d * FLOAT_TYPEV2(kvalues_iq4nl[vui & 0xF],
+                                                  kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
+            buf_a[buf_idx + 8] = d * FLOAT_TYPEV2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
+                                                  kvalues_iq4nl[vui >> 12]);
 #elif defined(DATA_A_MXFP4)
             const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -483,10 +499,27 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
             const uint vui = uint(data_a[ib].qs[iqs]);
             const uint vui2 = uint(data_a[ib].qs[iqs+1]);
 
-            buf_a[buf_idx    ] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui  & 0xF] * d,
-                                                 kvalues_mxfp4[vui2 & 0xF] * d);
-            buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui  >>  4] * d,
-                                                 kvalues_mxfp4[vui2 >>  4] * d);
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(kvalues_mxfp4[vui  & 0xF] * d,
+                                              kvalues_mxfp4[vui2 & 0xF] * d);
+            buf_a[buf_idx + 8] = FLOAT_TYPEV2(kvalues_mxfp4[vui  >>  4] * d,
+                                              kvalues_mxfp4[vui2 >>  4] * d);
+#elif defined(DATA_A_NVFP4)
+            const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
+            // lo and hi nibbles are 8 elements apart, which doesn't quite line up with
+            // how the thread mapping and buf_idx calculation works for other types.
+            const uint buf_idx = col * SHMEM_STRIDE + (row & 3) + (row & ~3) * 2;
+
+            const uint ib = idx / 16u;
+            const uint sub = (idx & 0xC) >> 2;
+            const uint iqs = (idx & 0xF) * 2;
+            const float d = ue4m3_to_fp32(data_a[ib].d[sub]) * 0.5;
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const uint vui2 = uint(data_a[ib].qs[iqs+1]);
+
+            buf_a[buf_idx    ] = FLOAT_TYPEV2(kvalues_mxfp4[vui  & 0xF] * d,
+                                              kvalues_mxfp4[vui2 & 0xF] * d);
+            buf_a[buf_idx + 4] = FLOAT_TYPEV2(kvalues_mxfp4[vui  >>  4] * d,
+                                              kvalues_mxfp4[vui2 >>  4] * d);
 #endif
 }
 
@@ -496,7 +529,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             // Not supported for b_type bf16 because bf16mat2x4 does not exist
             const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
-            FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
+            FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
             buf_b[buf_idx + 0] = bb[0].xy;
             buf_b[buf_idx + 1] = bb[0].zw;
             buf_b[buf_idx + 2] = bb[1].xy;
@@ -505,9 +538,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
 #if defined(DATA_B_BF16)
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
 #else
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
 #endif
             buf_b[buf_idx + 0] = bb.xy;
             buf_b[buf_idx + 1] = bb.zw;
@@ -515,12 +548,12 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + col * p.stride_b + row * 2;
             const uint buf_idx = col * SHMEM_STRIDE + row;
             if (idx_n < p.N && block + row * 2 + 1 < end_k) {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
-                                                 TO_FLOAT_TYPE(data_b[idx + 1]));
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
+                                              TO_FLOAT_TYPE(data_b[idx + 1]));
             } else if (idx_n < p.N && block + row * 2 < end_k) {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
             } else {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 }
@@ -531,7 +564,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const u16vec2 row_idx = row_ids[col];
             const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
-            FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
+            FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
             buf_b[buf_idx + 0] = bb[0].xy;
             buf_b[buf_idx + 1] = bb[0].zw;
             buf_b[buf_idx + 2] = bb[1].xy;
@@ -541,9 +574,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + row;
             const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
 #if defined(DATA_B_BF16)
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
 #else
-            FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
+            FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
 #endif
             buf_b[buf_idx + 0] = bb.xy;
             buf_b[buf_idx + 1] = bb.zw;
@@ -553,14 +586,14 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
             if (row_i < _ne1 && block + row * 2 + 1 < end_k) {
                 const u16vec2 row_idx = row_ids[col];
                 const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
-                                                 TO_FLOAT_TYPE(data_b[idx + 1]));
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
+                                              TO_FLOAT_TYPE(data_b[idx + 1]));
             } else if (row_i < _ne1 && block + row * 2 < end_k) {
                 const u16vec2 row_idx = row_ids[col];
                 const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
             } else {
-                buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
+                buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
             }
 #endif
 }
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
index 9c297d1c6..59931b04b 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_funcs.glsl
@@ -21,7 +21,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
     }
 #endif
 }
@@ -72,7 +72,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
         buf_a[buf_ib].qh = data_a_packed32[ib].qh;
     }
 #endif
@@ -203,7 +203,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
     buf_a[buf_ib].qs[iqs] = vals0 | (vals1 << 2) | (vals2 << 4) | (vals3 << 6);
 
     if (iqs == 0) {
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
         buf_a[buf_ib].scales = unpack8(uint32_t(data_a_packed16[ib_k].scales[iqs_k / 8])).xy; // vec4 used due to #12147
     }
 }
@@ -264,7 +264,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
         const i8vec2 scales = i8vec2(unpack8(uint32_t(((data_a_packed16[ib_k].scales[(is % 8      ) / 2] >> (4 * (is / 8))) & 0x0F0F) |
                                                      (((data_a_packed16[ib_k].scales[(8 + (is % 4)) / 2] >> (2 * (is / 4))) & 0x0303) << 4))).xy); // vec4 used due to #12147
 
-        buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
+        buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
     }
 }
 
@@ -334,7 +334,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
                               (data_a[ib_k].scales[is+4] >>  4) | ((data_a[ib_k].scales[is  ] & 0xC0) >> 2));
         }
 
-        buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
+        buf_a[buf_ib].dm = FLOAT_TYPEV2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
     }
 }
 
@@ -385,7 +385,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
         const uint is = iqs_k / 4;
         const i8vec2 scales = unpack8(int32_t(data_a_packed16[ib_k].scales[is / 2])).xy;
 
-        buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales));
+        buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales));
     }
 }
 
@@ -426,7 +426,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
         const uint ib_inner = ib % 4;
 
         if (iqs == 0) {
-            buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(data_b[ib_outer].ds[ib_inner]);
+            buf_b[buf_ib].ds = FLOAT_TYPEV2(data_b[ib_outer].ds[ib_inner]);
         }
 
         const ivec4 values = data_b[ib_outer].qs[ib_inner * 2 + iqs];
@@ -436,7 +436,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
         buf_b[buf_ib].qs[iqs * 4 + 3] = values.w;
     } else {
         if (iqs == 0) {
-            buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(0.0f);
+            buf_b[buf_ib].ds = FLOAT_TYPEV2(0.0f);
         }
 
         buf_b[buf_ib].qs[iqs * 4    ] = 0;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
index 1c0f5306f..10552d013 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mmq_shmem_types.glsl
@@ -8,7 +8,7 @@ struct block_a_cache {
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[16/4];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q5_0)
 #define QUANT_R_MMQ 2
@@ -22,7 +22,7 @@ struct block_a_cache {
 struct block_a_cache {
     uint32_t qs[16/4];
     uint32_t qh;
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q8_0)
 #define QUANT_R_MMQ 1
@@ -32,6 +32,12 @@ struct block_a_cache {
     int32_t qs[32/4];
     FLOAT_TYPE dm;
 };
+#elif defined(DATA_A_IQ4_NL)
+#define QUANT_R_MMQ 2
+struct block_a_cache {
+    int32_t qs[8];
+    FLOAT_TYPE dm;
+};
 #elif defined(DATA_A_MXFP4)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
@@ -43,36 +49,36 @@ struct block_a_cache {
 struct block_a_cache {
     uint32_t qs[2];
     u8vec2 scales;
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q3_K)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[4];
-    FLOAT_TYPE_VEC2 d_scales;
+    FLOAT_TYPEV2 d_scales;
 };
 #elif defined(DATA_A_Q4_K)
 #define QUANT_R_MMQ 2
 struct block_a_cache {
     uint32_t qs[4];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q5_K)
 #define QUANT_R_MMQ 1
 struct block_a_cache {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 dm;
+    FLOAT_TYPEV2 dm;
 };
 #elif defined(DATA_A_Q6_K)
 #define QUANT_R_MMQ 1
 struct block_a_cache {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 d_scales;
+    FLOAT_TYPEV2 d_scales;
 };
 #endif
 
 struct block_b_cache
 {
     int32_t qs[8];
-    FLOAT_TYPE_VEC2 ds;
+    FLOAT_TYPEV2 ds;
 };
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp b/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
index 10cf5202a..26d194e9e 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/multi_add.comp
@@ -8,7 +8,6 @@
 #extension GL_KHR_shader_subgroup_basic : enable
 #endif
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "utils.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
index d9b4d4c03..51a127bcd 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/rope_head.glsl
@@ -2,7 +2,6 @@
 
 #extension GL_EXT_shader_16bit_storage : require
 
-#include "rte.glsl"
 #include "rope_params.glsl"
 
 layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
index ec6ceaca9..2e2a7e14c 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/rope_params.glsl
@@ -1,8 +1,6 @@
 #if !defined(GGML_ROPE_PARAMS)
 #define GGML_ROPE_PARAMS
 
-#include "rte.glsl"
-
 struct rope_params {
     uint rope_mode;
     uint nrows;
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl
deleted file mode 100644
index ad51c1e80..000000000
--- a/ggml/src/ggml-vulkan/vulkan-shaders/rte.glsl
+++ /dev/null
@@ -1,5 +0,0 @@
-
-#if RTE16
-#extension GL_EXT_spirv_intrinsics : enable
-spirv_execution_mode(capabilities = [4467], 4462, 16); // RoundingModeRTE, 16 bits
-#endif // RTE16
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp b/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
index e18d0ffa3..f9b78f960 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/tri.comp
@@ -1,6 +1,5 @@
 #version 450
 
-#include "rte.glsl"
 #include "types.glsl"
 #include "generic_unary_head.glsl"
 
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl b/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
index bdb2c0925..4bcd97756 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/types.glsl
@@ -188,6 +188,22 @@ struct block_q8_0_packed16
 #define DATA_A_QUANT_LEGACY
 #endif
 
+#define QUANT_K_Q1_0 128
+#define QUANT_R_Q1_0 1
+
+struct block_q1_0
+{
+    float16_t d;
+    uint8_t qs[QUANT_K_Q1_0 / 8];
+};
+
+#if defined(DATA_A_Q1_0)
+#define QUANT_K QUANT_K_Q1_0
+#define QUANT_R QUANT_R_Q1_0
+#define QUANT_AUXF 1
+#define A_TYPE block_q1_0
+#endif
+
 #define QUANT_K_Q8_1 32
 #define QUANT_R_Q8_1 1
 
@@ -1676,6 +1692,7 @@ struct block_iq4_nl_packed16
 #if defined(DATA_A_IQ4_NL)
 #define QUANT_K QUANT_K_IQ4_NL
 #define QUANT_R QUANT_R_IQ4_NL
+#define QUANT_AUXF 1
 #define A_TYPE block_iq4_nl
 #define A_TYPE_PACKED16 block_iq4_nl_packed16
 #endif
@@ -1696,6 +1713,22 @@ struct block_mxfp4
 #define A_TYPE block_mxfp4
 #endif
 
+#define QUANT_K_NVFP4 64
+#define QUANT_R_NVFP4 1
+
+struct block_nvfp4
+{
+    uint8_t d[QUANT_K_NVFP4 / 16];
+    uint8_t qs[QUANT_K_NVFP4 / 2];
+};
+
+#if defined(DATA_A_NVFP4)
+#define QUANT_K QUANT_K_NVFP4
+#define QUANT_R QUANT_R_NVFP4
+#define QUANT_AUXF 1
+#define A_TYPE block_nvfp4
+#endif
+
 #if defined(DATA_A_IQ4_NL) || defined(DATA_A_IQ4_XS)
 const int8_t kvalues_iq4nl_const[16] = {
     int8_t(-127), int8_t(-104), int8_t(-83), int8_t(-65), int8_t(-49), int8_t(-35), int8_t(-22), int8_t(-10),
@@ -1715,7 +1748,7 @@ void init_iq_shmem(uvec3 wgsize)
 }
 #endif
 
-#if defined(DATA_A_MXFP4)
+#if defined(DATA_A_MXFP4) || defined(DATA_A_NVFP4)
 const int8_t kvalues_mxfp4_const[16] = {
     int8_t(0), int8_t(1), int8_t(2), int8_t(3), int8_t(4), int8_t(6), int8_t(8), int8_t(12),
     int8_t(0), int8_t(-1), int8_t(-2), int8_t(-3), int8_t(-4), int8_t(-6), int8_t(-8), int8_t(-12),
@@ -1723,6 +1756,24 @@ const int8_t kvalues_mxfp4_const[16] = {
 
 shared int8_t kvalues_mxfp4[16];
 
+#if defined(DATA_A_NVFP4)
+// UE4M3 scale in NVFP4 blocks use only 7 bits; sign (bit 7) is always zero.
+shared float ue4m3_fp32_lut[128];
+
+float ue4m3_to_fp32_build(uint u) {
+    if (u == 0u || u == 127u) {
+        return 0.0;
+    }
+    const uint exp = (u >> 3) & 15u;
+    const uint man = u & 7u;
+    if (exp == 0u) {
+        return float(man) * (1.0 / 512.0);
+    }
+    const uint bits = (exp + 120u) << 23 | (man << 20);
+    return uintBitsToFloat(bits);
+}
+#endif
+
 #define NEEDS_INIT_IQ_SHMEM
 void init_iq_shmem(uvec3 wgsize)
 {
@@ -1730,6 +1781,11 @@ void init_iq_shmem(uvec3 wgsize)
     for (uint i = gl_LocalInvocationIndex.x; i < kvalues_mxfp4.length(); i += wgsize.x) {
         kvalues_mxfp4[i] = kvalues_mxfp4_const[i];
     }
+#if defined(DATA_A_NVFP4)
+    for (uint i = gl_LocalInvocationIndex.x; i < 128u; i += wgsize.x) {
+        ue4m3_fp32_lut[i] = ue4m3_to_fp32_build(i);
+    }
+#endif
     barrier();
 }
 #endif
@@ -1766,6 +1822,12 @@ float e8m0_to_fp32(uint8_t x) {
     return uintBitsToFloat(bits);
 }
 
+#if defined(DATA_A_NVFP4)
+float ue4m3_to_fp32(uint8_t x) {
+    return ue4m3_fp32_lut[uint(x)];
+}
+#endif
+
 #if BDA
 
 #extension GL_EXT_buffer_reference : enable
diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
index 8186dba36..6f2a929c4 100644
--- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
+++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp
@@ -45,6 +45,7 @@ std::string target_cpp = "";
 const std::vector<std::string> type_names = {
     "f32",
     "f16",
+    "q1_0",
     "q4_0",
     "q4_1",
     "q5_0",
@@ -65,6 +66,7 @@ const std::vector<std::string> type_names = {
     "iq4_xs",
     "iq4_nl",
     "mxfp4",
+    "nvfp4",
     "bf16",
 };
 
@@ -137,6 +139,7 @@ void execute_command(std::vector<std::string>& command, std::string& stdout_str,
 
     pid_t pid = fork();
     if (pid < 0) {
+        std::cerr << strerror(errno) << "\n";
         throw std::runtime_error("Failed to fork process");
     }
 
@@ -404,8 +407,8 @@ std::map<std::string, std::string> merge_maps(const std::map<std::string, std::s
 }
 
 static std::vector<std::future<void>> compiles;
-void string_to_spv(std::string name, const std::string& source, const std::map<std::string, std::string>& defines, bool fp16 = true, bool coopmat = false, bool coopmat2 = false, bool f16acc = false) {
-    name = name + (f16acc ? "_f16acc" : "") + (coopmat ? "_cm1" : "") + (coopmat2 ? "_cm2" : (fp16 ? "" : "_fp32"));
+void string_to_spv(std::string name, const std::string& source, const std::map<std::string, std::string>& defines, bool fp16 = true, bool coopmat = false, bool coopmat2 = false, bool f16acc = false, const std::string& suffix = "") {
+    name = name + (f16acc ? "_f16acc" : "") + (coopmat ? "_cm1" : "") + (coopmat2 ? "_cm2" : (fp16 ? "" : "_fp32")) + suffix;
     std::string out_path = join_paths(output_dir, name + ".spv");
 
     if (input_filepath == "") {
@@ -445,8 +448,8 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         base_dict["FLOAT16"] = "1";
     }
 
-    base_dict["ACC_TYPE"     ] = f16acc ? "float16_t" : "float";
-    base_dict["ACC_TYPE_VEC2"] = f16acc ? "f16vec2"   : "vec2";
+    base_dict["ACC_TYPE"  ] = f16acc ? "float16_t" : "float";
+    base_dict["ACC_TYPEV2"] = f16acc ? "f16vec2"   : "vec2";
     if (f16acc) {
         base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
     }
@@ -513,10 +516,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
     };
 
     const std::map<std::string, std::string> float_type_dict_f16 = {
-        {"FLOAT_TYPE",      FLOAT_TYPE(1, "f16")},
-        {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "f16")},
-        {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "f16")},
-        {"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, "f16")},
+        {"FLOAT_TYPE",   FLOAT_TYPE(1, "f16")},
+        {"FLOAT_TYPEV2", FLOAT_TYPE(2, "f16")},
+        {"FLOAT_TYPEV4", FLOAT_TYPE(4, "f16")},
+        {"FLOAT_TYPEV8", FLOAT_TYPE(8, "f16")},
     };
 
     // Shaders with f16 B_TYPE
@@ -535,9 +538,9 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         std::string to_float_type = (coopmat || coopmat2) ? "uintBitsToBFloat16EXT" : "bf16_to_fp32";
 
         const std::map<std::string, std::string> float_type_dict_bf16 = {
-            {"FLOAT_TYPE",      FLOAT_TYPE(1, "bf16")},
-            {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "bf16")},
-            {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "bf16")},
+            {"FLOAT_TYPE",   FLOAT_TYPE(1, "bf16")},
+            {"FLOAT_TYPEV2", FLOAT_TYPE(2, "bf16")},
+            {"FLOAT_TYPEV4", FLOAT_TYPE(4, "bf16")},
         };
 
         // If bfloat16 is not supported, then only compile the scalar (promote to fp32) shader
@@ -552,9 +555,9 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
 
     for (const auto& tname : type_names) {
         std::string load_vec_quant = "2";
-        if ((tname == "q4_0") || (tname == "q4_1") || (tname == "q5_1") || (tname == "iq1_s") || (tname == "iq1_m") || (tname == "iq2_xxs") || (tname == "iq2_xs") || (tname == "iq2_s"))
+        if ((tname == "q1_0") || (tname == "q4_0") || (tname == "q4_1") || (tname == "q5_1") || (tname == "iq1_s") || (tname == "iq1_m") || (tname == "iq2_xxs") || (tname == "iq2_xs") || (tname == "iq2_s"))
             load_vec_quant = "8";
-        else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_xs") || (tname == "iq4_nl") || (tname == "mxfp4"))
+        else if ((tname == "q5_0") || (tname == "q8_0") || (tname == "q2_k") || (tname == "q4_k") || (tname == "q5_k") || (tname == "iq3_xxs") || (tname == "iq3_s") || (tname == "iq4_xs") || (tname == "iq4_nl") || (tname == "mxfp4") || (tname == "nvfp4"))
             load_vec_quant = "4";
 
         if (tname == "bf16") {
@@ -568,10 +571,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
         std::string load_vec_a = (coopmat2 || tname == "f32" || tname == "f16" || tname == "bf16") ? load_vec : load_vec_quant;
 
         const std::map<std::string, std::string> float_type_dict = {
-            {"FLOAT_TYPE",      FLOAT_TYPE(1, tname)},
-            {"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, tname)},
-            {"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, tname)},
-            {"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, tname)},
+            {"FLOAT_TYPE",   FLOAT_TYPE(1, tname)},
+            {"FLOAT_TYPEV2", FLOAT_TYPE(2, tname)},
+            {"FLOAT_TYPEV4", FLOAT_TYPE(4, tname)},
+            {"FLOAT_TYPEV8", FLOAT_TYPE(8, tname)},
         };
 
         // don't generate f32 variants for coopmat2
@@ -623,39 +626,37 @@ void process_shaders() {
     for (const bool& fp16 : {false, true}) {
         std::map<std::string, std::string> base_dict;
         if (fp16) {
-            base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
+            base_dict = {{"FLOAT_TYPE", "float16_t"}, {"FLOAT_TYPEV2", "f16vec2"}, {"FLOAT_TYPEV4", "f16vec4"}, {"FLOAT16", "1"}, {"FLOAT_TYPE_MAX", "float16_t(65504.0)"}};
         } else {
-            base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV4", "vec4"}};
+            base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"FLOAT_TYPEV4", "vec4"}};
         }
 
         // flash attention
         for (const bool& f16acc : {false, true}) {
             std::map<std::string, std::string> fa_base_dict = base_dict;
             fa_base_dict["ACC_TYPE"] = fp16 && f16acc ? "float16_t" : "float";
+            fa_base_dict["ACC_TYPEV2"] = fp16 && f16acc ? "f16vec2" : "vec2";
             fa_base_dict["ACC_TYPEV4"] = fp16 && f16acc ? "f16vec4" : "vec4";
             if (fp16 && f16acc) {
                 fa_base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
             }
 
+            if (fp16) {
+#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
+                string_to_spv("flash_attn_f32_f16_mixed", "flash_attn_cm2.comp",
+                    merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc);
+#endif
+            }
+
             for (const auto& tname : type_names) {
                 if (tname == "bf16") continue;
 
                 if (fp16) {
-#if defined(GGML_VULKAN_COOPMAT2_GLSLC_SUPPORT)
-                if (tname == "f16") {
-                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
-                        merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, true, f16acc);
-                } else {
-                    std::string data_a_key = "DATA_A_" + to_uppercase(tname);
-                    string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm2.comp",
-                        merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"DEQUANTFUNC", "dequantFunc"+to_uppercase(tname) }, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, true, f16acc);
-                }
-#endif
 #if defined(GGML_VULKAN_COOPMAT_GLSLC_SUPPORT)
                 if (tname == "f16") {
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
                         merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
-                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") {
                     std::string data_a_key = "DATA_A_" + to_uppercase(tname);
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn_cm1.comp",
                         merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname)}, {"COOPMAT", "1"}}), fp16, true, false, f16acc);
@@ -666,45 +667,51 @@ void process_shaders() {
                 if (tname == "f16") {
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
                         merge_maps(fa_base_dict, {{"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}}), fp16, false, false, f16acc);
-                } else if (tname == "q4_0" || tname == "q8_0" || tname == "f32") {
+                } else if (tname == "q4_0" || tname == "q4_1" || tname == "q5_0" || tname == "q5_1" || tname == "iq4_nl" || tname == "q8_0" || tname == "f32") {
                     std::string data_a_key = "DATA_A_" + to_uppercase(tname);
                     string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
                         merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }}), fp16, false, false, f16acc);
+#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
+                    if (tname != "f32") {
+                        string_to_spv("flash_attn_f32_f16_" + tname, "flash_attn.comp",
+                            merge_maps(fa_base_dict, {{data_a_key, "1"}, {"Q_TYPE", "float"}, {"D_TYPE", "float"}, {"D_TYPEV4", "vec4"}, {"BLOCK_SIZE", "QUANT_K_"+to_uppercase(tname) }, {"MMQ", "1"}}), fp16, false, false, f16acc, "_int8");
+                    }
+#endif
                 }
             }
         }
     }
 
-    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
+    std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}};
 
     for (const auto& tname : type_names) {
         // mul mat vec
         std::string data_a_key = "DATA_A_" + to_uppercase(tname);
         std::string shader = (string_ends_with(tname, "_k") || string_starts_with(tname, "iq1_") || string_starts_with(tname, "iq2_") || string_starts_with(tname, "iq3_")) ? "mul_mat_vec_" + tname + ".comp" : "mul_mat_vec.comp";
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}}));
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
 
-        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
-        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+        string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
         // mul mat vec with integer dot product
 #if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
         if (is_legacy_quant(tname) || tname == "mxfp4" || is_k_quant(tname) || tname == "iq1_s" || tname == "iq1_m") {
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+            string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
 
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
-            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
+            string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
         }
 #endif
 
@@ -725,9 +732,9 @@ void process_shaders() {
 
     string_to_spv("get_rows_i32", "get_rows.comp", {{"TEMP_TYPE", "uint"}, {"A_TYPE", "uint"}, {"B_TYPE", "int"}, {"D_TYPE", "uint"}});
 
-    string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
-    string_to_spv("mul_mat_vec_p021_f16_f32",              "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
-    string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
+    string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
+    string_to_spv("mul_mat_vec_p021_f16_f32",              "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
+    string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
 
     // Norms
     string_to_spv("norm_f32", "norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
@@ -735,7 +742,7 @@ void process_shaders() {
     string_to_spv("rms_norm_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("rms_norm_partials_f32", "rms_norm_partials.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("rms_norm_mul_rope_f32_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float"}, {"RMS_NORM_ROPE_FUSION", "1"}}));
-    string_to_spv("rms_norm_mul_rope_f32_f16_rte", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RMS_NORM_ROPE_FUSION", "1"}, {"RTE16", "1"}}));
+    string_to_spv("rms_norm_mul_rope_f32_f16", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RMS_NORM_ROPE_FUSION", "1"}}));
     string_to_spv("rms_norm_back_f32", "rms_norm_back.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
     string_to_spv("l2_norm_f32", "l2_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
 
@@ -757,17 +764,14 @@ void process_shaders() {
     string_to_spv("cpy_transpose_16", "copy_transpose.comp", {{"A_TYPE", "uint16_t"}, {"D_TYPE", "uint16_t"}});
     string_to_spv("cpy_transpose_32", "copy_transpose.comp", {{"A_TYPE", "uint"}, {"D_TYPE", "uint"}});
 
-    for (std::string t : {"q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
+    for (std::string t : {"q1_0", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
         string_to_spv("cpy_f32_" + t, "copy_to_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("cpy_f32_" + t + "_rte", "copy_to_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
         string_to_spv("cpy_" + t + "_f32", "copy_from_quant.comp", {{"DATA_A_" + to_uppercase(t), "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     }
 
-    for (std::string t : {"f32", "f16", "bf16", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
-        string_to_spv("set_rows_" + t + "_i32",     "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("set_rows_" + t + "_i32_rte", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
-        string_to_spv("set_rows_" + t + "_i64",     "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
-        string_to_spv("set_rows_" + t + "_i64_rte", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}});
+    for (std::string t : {"f32", "f16", "bf16", "q1_0", "q4_0", "q4_1", "q5_0", "q5_1", "q8_0", "iq4_nl"}) {
+        string_to_spv("set_rows_" + t + "_i32", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uint"}, {"B_SIZE", "32"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
+        string_to_spv("set_rows_" + t + "_i64", "copy_to_quant.comp", {{"SET_ROWS", "1"}, {"DATA_A_" + to_uppercase(t), "1"}, {"B_TYPE", "uvec2"}, {"B_SIZE", "64"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     }
 
     auto get_type_str = [](bool f16) {
@@ -784,12 +788,10 @@ void process_shaders() {
     for (auto src0_f16 : {false, true}) {
     for (auto src1_f16 : {false, true}) {
     for (auto dst_f16  : {false, true}) {
-    for (auto rte      : {false, true}) {
         auto source = op == "add_rms" ? std::string("add") : op;
-        auto name = op + get_suffix(src0_f16, src1_f16, dst_f16) + (rte ? "_rte" : "");
+        auto name = op + get_suffix(src0_f16, src1_f16, dst_f16);
         auto add_rms = op == "add_rms" ? "1" : "0";
-        string_to_spv(name.c_str(), source + ".comp", {{"A_TYPE", get_type_str(src0_f16)}, {"B_TYPE", get_type_str(src1_f16)}, {"D_TYPE", get_type_str(dst_f16)}, {"FLOAT_TYPE", "float"}, {"RTE16", rte ? "1" : "0"}, {"ADD_RMS" , add_rms}});
-    }
+        string_to_spv(name.c_str(), source + ".comp", {{"A_TYPE", get_type_str(src0_f16)}, {"B_TYPE", get_type_str(src1_f16)}, {"D_TYPE", get_type_str(dst_f16)}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , add_rms}});
     }
     }
     }
@@ -837,14 +839,11 @@ void process_shaders() {
 
     string_to_spv("upscale_f32", "upscale.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
 
-    for (auto rte : {false, true}) {
-        std::string suffix = rte ? "_rte" : "";
-        string_to_spv("exp_f16" + suffix,        "exp.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("exp_f32" + suffix,        "exp.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}    ,   {"RTE16", rte ? "1" : "0"}});
+    string_to_spv("exp_f16",        "exp.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("exp_f32",        "exp.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
-        string_to_spv("log_f16" + suffix,        "log.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("log_f32" + suffix,        "log.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-    }
+    string_to_spv("log_f16",        "log.comp",         {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("log_f32",        "log.comp",         {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("gelu_f16",       "gelu.comp",        {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("gelu_f32",       "gelu.comp",        {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("gelu_erf_f16",   "gelu_erf.comp",    {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
@@ -887,6 +886,7 @@ void process_shaders() {
     string_to_spv("add1_f32_f32",   "add1.comp",        {{"A_TYPE", "float"},       {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     string_to_spv("arange_f32",     "arange.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}});
     string_to_spv("fill_f32",       "fill.comp",        {{"D_TYPE", "float"},       {"FLOAT_TYPE", "float"}});
+    string_to_spv("fill_f16",       "fill.comp",        {{"D_TYPE", "float16_t"},   {"FLOAT_TYPE", "float"}});
     string_to_spv("step_f16",       "step.comp",        {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("step_f32",       "step.comp",        {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
     string_to_spv("round_f16",      "round.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
@@ -898,21 +898,18 @@ void process_shaders() {
     string_to_spv("trunc_f16",      "trunc.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
     string_to_spv("trunc_f32",      "trunc.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
-    for (auto rte : {false, true}) {
-        std::string suffix = rte ? "_rte" : "";
-        string_to_spv("geglu_f16" + suffix,      "geglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_f32" + suffix,      "geglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("reglu_f16" + suffix,      "reglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("reglu_f32" + suffix,      "reglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_f16" + suffix,     "swiglu.comp",      {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_f32" + suffix,     "swiglu.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_oai_f16" + suffix, "swiglu_oai.comp",  {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("swiglu_oai_f32" + suffix, "swiglu_oai.comp",  {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_erf_f16" + suffix,  "geglu_erf.comp",   {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_erf_f32" + suffix,  "geglu_erf.comp",   {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_quick_f16" + suffix,"geglu_quick.comp", {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"},   {"RTE16", rte ? "1" : "0"}});
-        string_to_spv("geglu_quick_f32" + suffix,"geglu_quick.comp", {{"A_TYPE", "float"},       {"D_TYPE", "float"},       {"RTE16", rte ? "1" : "0"}});
-    }
+    string_to_spv("geglu_f16",      "geglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_f32",      "geglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("reglu_f16",      "reglu.comp",       {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("reglu_f32",      "reglu.comp",       {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("swiglu_f16",     "swiglu.comp",      {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("swiglu_f32",     "swiglu.comp",      {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("swiglu_oai_f16", "swiglu_oai.comp",  {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("swiglu_oai_f32", "swiglu_oai.comp",  {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("geglu_erf_f16",  "geglu_erf.comp",   {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_erf_f32",  "geglu_erf.comp",   {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
+    string_to_spv("geglu_quick_f16","geglu_quick.comp", {{"A_TYPE", "float16_t"},   {"D_TYPE", "float16_t"}});
+    string_to_spv("geglu_quick_f32","geglu_quick.comp", {{"A_TYPE", "float"},       {"D_TYPE", "float"}});
 
     string_to_spv("leaky_relu_f32", "leaky_relu.comp",  {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
     string_to_spv("silu_back_f32",  "silu_back.comp",   {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
@@ -932,25 +929,18 @@ void process_shaders() {
 
     string_to_spv("rope_norm_f32", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_norm_f16", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_norm_f16_rte", "rope_norm.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_norm_f32_f16", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_norm_f32_f16_rte", "rope_norm.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_neox_f32", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_neox_f16", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_neox_f16_rte", "rope_neox.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_neox_f32_f16", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_neox_f32_f16_rte", "rope_neox.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_multi_f32", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_multi_f16", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_multi_f16_rte", "rope_multi.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
     string_to_spv("rope_multi_f32_f16", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_multi_f32_f16_rte", "rope_multi.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("rope_vision_f32", "rope_vision.comp", {{"A_TYPE", "float"}, {"ROPE_D_TYPE", "float"}});
     string_to_spv("rope_vision_f16", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}});
-    string_to_spv("rope_vision_f16_rte", "rope_vision.comp", {{"A_TYPE", "float16_t"}, {"ROPE_D_TYPE", "float16_t"}, {"RTE16", "1"}});
 
     string_to_spv("argsort_f32", "argsort.comp", {{"A_TYPE", "float"}});
     string_to_spv("argsort_large_f32", "argsort_large.comp", {{"A_TYPE", "float"}});
@@ -973,7 +963,6 @@ void process_shaders() {
             std::string bda_def = bda ? "1" : "0";
             string_to_spv("im2col" + dim_str + "_f32" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}, {"D_SIZE", "4"}, {"BDA", bda_def}}));
             string_to_spv("im2col" + dim_str + "_f32_f16" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"D_SIZE", "2"}, {"BDA", bda_def}}));
-            string_to_spv("im2col" + dim_str + "_f32_f16_rte" + bda_str, "im2col" + dim_str + ".comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float16_t"}, {"D_SIZE", "2"}, {"RTE16", "1"}, {"BDA", bda_def}}));
         }
     }
 
@@ -1026,8 +1015,8 @@ void process_shaders() {
 
     string_to_spv("add_id_f32", "add_id.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
 
-    string_to_spv("multi_add_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}, {"ADD_RMS" , "0"}});
-    string_to_spv("multi_add_rms_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"RTE16", "1"}, {"ADD_RMS" , "1"}});
+    string_to_spv("multi_add_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , "0"}});
+    string_to_spv("multi_add_rms_f32", "multi_add.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"ADD_RMS" , "1"}});
 
     string_to_spv("ssm_scan_f32",          "ssm_scan.comp", {{"A_TYPE", "float"}});
     string_to_spv("ssm_scan_subgroup_f32", "ssm_scan.comp", {{"A_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
@@ -1080,8 +1069,8 @@ void write_output_files() {
 
     std::string suffixes[2] = {"_f32", "_f16"};
     for (std::string op : {"add", "sub", "mul", "div", "add_rms"}) {
-        hdr << "extern const void * " << op << "_data[2][2][2][2];\n";
-        hdr << "extern const uint64_t " << op << "_len[2][2][2][2];\n";
+        hdr << "extern const void * " << op << "_data[2][2][2];\n";
+        hdr << "extern const uint64_t " << op << "_len[2][2][2];\n";
 
         std::string op_file = op == "add_rms" ? "add.comp" : std::string(op) + ".comp";
         if (basename(input_filepath) != op_file) {
@@ -1089,8 +1078,8 @@ void write_output_files() {
         }
         std::stringstream data = make_generic_stringstream();
         std::stringstream len  = make_generic_stringstream();
-        data << "const void * " << op << "_data[2][2][2][2] = ";
-        len  << "const uint64_t " << op << "_len[2][2][2][2] = ";
+        data << "const void * " << op << "_data[2][2][2] = ";
+        len  << "const uint64_t " << op << "_len[2][2][2] = ";
         for (uint32_t t0 = 0; t0 < 2; ++t0) {
             if (t0 == 0) {
                 data << "{";
@@ -1106,20 +1095,10 @@ void write_output_files() {
                         data << "{";
                         len  << "{";
                     }
-                    for (uint32_t rte = 0; rte < 2; ++rte) {
-                        if (rte == 0) {
-                            data << "{";
-                            len  << "{";
-                        }
-                        data << op << suffixes[t0] << suffixes[t1] << suffixes[t2] << ((rte != 0) ? "_rte" : "");
-                        len  << op << suffixes[t0] << suffixes[t1] << suffixes[t2] << ((rte != 0) ? "_rte" : "");
-                        data << "_data,";
-                        len  << "_len,";
-                        if (rte == 1) {
-                            data << "}, ";
-                            len  << "}, ";
-                        }
-                    }
+                    data << op << suffixes[t0] << suffixes[t1] << suffixes[t2];
+                    len  << op << suffixes[t0] << suffixes[t1] << suffixes[t2];
+                    data << "_data,";
+                    len  << "_len,";
                     if (t2 == 1) {
                         data << "}, ";
                         len  << "}, ";
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
index 669d2cd53..c6dc2c211 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
@@ -1,6 +1,7 @@
 #ifndef GGML_WEBGPU_SHADER_LIB_HPP
 #define GGML_WEBGPU_SHADER_LIB_HPP
 
+#include "ggml-impl.h"
 #include "ggml-wgsl-shaders.hpp"
 #include "ggml.h"
 #include "pre_wgsl.hpp"
@@ -26,36 +27,30 @@
 // Matrix multiplication parameters
 
 // Register tiling parameters
-#define WEBGPU_MUL_MAT_TILE_M    8
-#define WEBGPU_MUL_MAT_TILE_N    8
-#define WEBGPU_MUL_MAT_WG_SIZE_M 8
-#define WEBGPU_MUL_MAT_WG_SIZE_N 8
-#define WEBGPU_MUL_MAT_TILE_K    32
+#define WEBGPU_MUL_MAT_TILE_M           4
+#define WEBGPU_MUL_MAT_TILE_N           4
+#define WEBGPU_MUL_MAT_WG_SIZE_M        8
+#define WEBGPU_MUL_MAT_WG_SIZE_N        8
+#define WEBGPU_MUL_MAT_REG_TILE_K_FLOAT 8
+#define WEBGPU_MUL_MAT_REG_TILE_K_QUANT 32
 
 // Subgroup matrix parameters
 // The number of subgroups in the M dimension
-#define WEBGPU_MUL_MAT_SUBGROUP_M        2
+#define WEBGPU_MUL_MAT_SUBGROUP_M            2
 // The number of subgroups in the N dimension
-#define WEBGPU_MUL_MAT_SUBGROUP_N        2
+#define WEBGPU_MUL_MAT_SUBGROUP_N            4
 // The number of subgroup matrices each subgroup accumulates over
-#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M 4
-#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N 2
+#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_M     4
+#define WEBGPU_MUL_MAT_SUBGROUP_MATRIX_N     2
+#define WEBGPU_MUL_MAT_SUBGROUP_TILE_K_FLOAT 32
+#define WEBGPU_MUL_MAT_SUBGROUP_TILE_K_QUANT 32
 
 // Matrix-vector multiplication parameters
 #define WEBGPU_MUL_MAT_VEC_WG_SIZE 256
 
-// Must be multiple of 4 to work with vectorized paths, and must divide
-// mul_mat_vec wg size
-#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG 64
-#define WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K         256
-
-#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 64
-#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K         256
-
-// Requires 32 threads per output (wg_size/outputs_per_wg == 32)
-#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG 8
-// Requires at least two (and multiple of 2) k-quant blocks per tile
-#define WEBGPU_MUL_MAT_VEC_K_Q_TILE_K         512
+#define WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG    4
+#define WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG 4
+#define WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG      4
 
 // default size for legacy matrix multiplication
 #define WEBGPU_MUL_MAT_WG_SIZE 256
@@ -65,19 +60,33 @@ template <typename T> inline void ggml_webgpu_hash_combine(size_t & seed, const
     seed ^= std::hash<T>{}(value) + 0x9e3779b9 + (seed << 6) + (seed >> 2);
 }
 
+// Calculates base address of a tensor ignoring the fake base pointer
+inline uintptr_t ggml_webgpu_tensor_addr(const ggml_tensor * tensor) {
+    const ggml_tensor * base_tensor = tensor->view_src ? tensor->view_src : tensor;
+    return (uintptr_t) base_tensor->data + tensor->view_offs;
+}
+
+inline bool ggml_webgpu_tensor_equal(const ggml_tensor * a, const ggml_tensor * b) {
+    return a->buffer == b->buffer && ggml_webgpu_tensor_addr(a) == ggml_webgpu_tensor_addr(b);
+}
+
+inline bool ggml_webgpu_tensor_overlap(const ggml_tensor * a, const ggml_tensor * b) {
+    return a->buffer == b->buffer && ggml_webgpu_tensor_addr(a) < ggml_webgpu_tensor_addr(b) + ggml_nbytes(b) &&
+           ggml_webgpu_tensor_addr(b) < ggml_webgpu_tensor_addr(a) + ggml_nbytes(a);
+}
+
 struct ggml_webgpu_shader_lib_context {
     ggml_tensor * src0;
     ggml_tensor * src1;
     ggml_tensor * src2;
     ggml_tensor * src3;
     ggml_tensor * src4;
+    ggml_tensor * src5;
     ggml_tensor * dst;
 
     uint32_t max_wg_size;
     size_t   wg_mem_limit_bytes       = 0;
-    bool     inplace                  = false;
-    bool     overlap                  = false;
-    bool     src_overlap              = false;
+    bool     supports_subgroups       = false;
     bool     supports_subgroup_matrix = false;
     uint32_t sg_mat_m                 = 0;
     uint32_t sg_mat_n                 = 0;
@@ -93,6 +102,14 @@ struct webgpu_pipeline {
 
 struct ggml_webgpu_generic_shader_decisions {
     uint32_t wg_size = 0;
+    bool     inplace = false;
+};
+
+struct ggml_webgpu_binary_shader_decisions {
+    uint32_t wg_size     = 0;
+    bool     inplace     = false;
+    bool     overlap     = false;
+    bool     src_overlap = false;
 };
 
 struct ggml_webgpu_processed_shader {
@@ -106,6 +123,32 @@ struct ggml_webgpu_ssm_conv_shader_decisions {
     uint32_t tokens_per_wg;
 };
 
+struct ggml_webgpu_ssm_scan_pipeline_key {
+    int  type;
+    int  d_state;
+    bool xbc_overlap;
+
+    bool operator==(const ggml_webgpu_ssm_scan_pipeline_key & other) const {
+        return type == other.type && d_state == other.d_state && xbc_overlap == other.xbc_overlap;
+    }
+};
+
+struct ggml_webgpu_ssm_scan_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_ssm_scan_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.type);
+        ggml_webgpu_hash_combine(seed, key.d_state);
+        ggml_webgpu_hash_combine(seed, key.xbc_overlap);
+        return seed;
+    }
+};
+
+struct ggml_webgpu_ssm_scan_shader_decisions {
+    uint32_t wg_size;
+    uint32_t tokens_per_tile;
+    bool     xbc_overlap = false;
+};
+
 /** Argsort **/
 
 struct ggml_webgpu_argsort_shader_lib_context {
@@ -185,11 +228,13 @@ struct ggml_webgpu_get_rows_pipeline_key_hash {
 /** Row Norm **/
 
 struct ggml_webgpu_row_norm_pipeline_key {
-    ggml_op op;
-    bool    inplace;
+    ggml_op   op;
+    ggml_type src_type;
+    ggml_type dst_type;
+    bool      inplace;
 
     bool operator==(const ggml_webgpu_row_norm_pipeline_key & other) const {
-        return op == other.op && inplace == other.inplace;
+        return op == other.op && src_type == other.src_type && dst_type == other.dst_type && inplace == other.inplace;
     }
 };
 
@@ -197,11 +242,42 @@ struct ggml_webgpu_row_norm_pipeline_key_hash {
     size_t operator()(const ggml_webgpu_row_norm_pipeline_key & key) const {
         size_t seed = 0;
         ggml_webgpu_hash_combine(seed, key.op);
+        ggml_webgpu_hash_combine(seed, key.src_type);
+        ggml_webgpu_hash_combine(seed, key.dst_type);
+        ggml_webgpu_hash_combine(seed, key.inplace);
+        return seed;
+    }
+};
+
+/** RMS_NORM + MUL **/
+
+struct ggml_webgpu_rms_norm_mul_pipeline_key {
+    bool inplace;      // rn_src == dst
+    bool overlap;      // mul_src == dst
+    bool src_overlap;  // rn_src == mul_src
+
+    bool operator==(const ggml_webgpu_rms_norm_mul_pipeline_key & other) const {
+        return inplace == other.inplace && overlap == other.overlap && src_overlap == other.src_overlap;
+    }
+};
+
+struct ggml_webgpu_rms_norm_mul_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_rms_norm_mul_pipeline_key & key) const {
+        size_t seed = 0;
         ggml_webgpu_hash_combine(seed, key.inplace);
+        ggml_webgpu_hash_combine(seed, key.overlap);
+        ggml_webgpu_hash_combine(seed, key.src_overlap);
         return seed;
     }
 };
 
+struct ggml_webgpu_rms_norm_mul_shader_decisions {
+    uint32_t wg_size     = 0;
+    bool     inplace     = false;
+    bool     overlap     = false;
+    bool     src_overlap = false;
+};
+
 /** Pad **/
 struct ggml_webgpu_pad_pipeline_key {
     bool circular;
@@ -248,6 +324,46 @@ struct ggml_webgpu_ssm_conv_pipeline_key {
     }
 };
 
+/** CONV 2D */
+struct ggml_webgpu_conv2d_pipeline_key {
+    ggml_type weight_type;
+    ggml_type input_type;
+    ggml_type output_type;
+
+    bool operator==(const ggml_webgpu_conv2d_pipeline_key & other) const {
+        return weight_type == other.weight_type && input_type == other.input_type && output_type == other.output_type;
+    }
+};
+
+struct ggml_webgpu_conv2d_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_conv2d_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.weight_type);
+        ggml_webgpu_hash_combine(seed, key.input_type);
+        ggml_webgpu_hash_combine(seed, key.output_type);
+        return seed;
+    }
+};
+
+/** Im2Col **/
+struct ggml_webgpu_im2col_pipeline_key {
+    ggml_type input_type;
+    ggml_type output_type;
+
+    bool operator==(const ggml_webgpu_im2col_pipeline_key & other) const {
+        return input_type == other.input_type && output_type == other.output_type;
+    }
+};
+
+struct ggml_webgpu_im2col_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_im2col_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.input_type);
+        ggml_webgpu_hash_combine(seed, key.output_type);
+        return seed;
+    }
+};
+
 /** Gated Delta Net **/
 struct ggml_webgpu_gated_delta_net_pipeline_key {
     int type;
@@ -294,6 +410,31 @@ struct ggml_webgpu_scale_pipeline_key_hash {
     }
 };
 
+/** Upscale **/
+
+struct ggml_webgpu_upscale_pipeline_key {
+    ggml_type input_type;
+    ggml_type output_type;
+    uint32_t  base_mode;
+    bool      antialias;
+
+    bool operator==(const ggml_webgpu_upscale_pipeline_key & other) const {
+        return input_type == other.input_type && output_type == other.output_type && base_mode == other.base_mode &&
+               antialias == other.antialias;
+    }
+};
+
+struct ggml_webgpu_upscale_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_upscale_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.input_type);
+        ggml_webgpu_hash_combine(seed, key.output_type);
+        ggml_webgpu_hash_combine(seed, key.base_mode);
+        ggml_webgpu_hash_combine(seed, key.antialias);
+        return seed;
+    }
+};
+
 /** Concat **/
 
 struct ggml_webgpu_concat_pipeline_key {
@@ -382,20 +523,28 @@ struct ggml_webgpu_unary_pipeline_key_hash {
 
 /** FlashAttention */
 
+enum ggml_webgpu_flash_attn_path : uint32_t {
+    GGML_WEBGPU_FLASH_ATTN_PATH_NONE            = 0u,
+    GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX = 1u,
+    GGML_WEBGPU_FLASH_ATTN_PATH_TILE            = 2u,
+    GGML_WEBGPU_FLASH_ATTN_PATH_VEC             = 3u,
+};
+
 struct ggml_webgpu_flash_attn_pipeline_key {
     ggml_type kv_type;
     uint32_t  head_dim_qk;
     uint32_t  head_dim_v;
     bool      kv_direct;
+    bool      kv_overlap;
     bool      has_mask;
     bool      has_sinks;
     bool      uses_logit_softcap;
-    bool      use_vec;
+    uint32_t  path;
 
     bool operator==(const ggml_webgpu_flash_attn_pipeline_key & other) const {
         return kv_type == other.kv_type && head_dim_qk == other.head_dim_qk && head_dim_v == other.head_dim_v &&
-               kv_direct == other.kv_direct && has_mask == other.has_mask && has_sinks == other.has_sinks &&
-               uses_logit_softcap == other.uses_logit_softcap && use_vec == other.use_vec;
+               kv_direct == other.kv_direct && kv_overlap == other.kv_overlap && has_mask == other.has_mask &&
+               has_sinks == other.has_sinks && uses_logit_softcap == other.uses_logit_softcap && path == other.path;
     }
 };
 
@@ -406,52 +555,74 @@ struct ggml_webgpu_flash_attn_pipeline_key_hash {
         ggml_webgpu_hash_combine(seed, key.head_dim_qk);
         ggml_webgpu_hash_combine(seed, key.head_dim_v);
         ggml_webgpu_hash_combine(seed, key.kv_direct);
+        ggml_webgpu_hash_combine(seed, key.kv_overlap);
         ggml_webgpu_hash_combine(seed, key.has_mask);
         ggml_webgpu_hash_combine(seed, key.has_sinks);
         ggml_webgpu_hash_combine(seed, key.uses_logit_softcap);
-        ggml_webgpu_hash_combine(seed, key.use_vec);
+        ggml_webgpu_hash_combine(seed, key.path);
         return seed;
     }
 };
 
-struct ggml_webgpu_flash_attn_shader_lib_context {
-    ggml_webgpu_flash_attn_pipeline_key key;
-    uint32_t                            sg_mat_m;
-    uint32_t                            sg_mat_n;
-    uint32_t                            sg_mat_k;
-    size_t                              wg_mem_limit_bytes;
-    uint32_t                            max_subgroup_size;
+struct ggml_webgpu_flash_attn_decisions {
+    uint32_t path       = GGML_WEBGPU_FLASH_ATTN_PATH_NONE;
+    uint32_t q_tile     = 0;
+    uint32_t kv_tile    = 0;
+    uint32_t wg_size    = 0;
+    bool     kv_direct  = false;
+    bool     kv_overlap = false;
 };
 
-struct ggml_webgpu_flash_attn_shader_decisions {
-    uint32_t q_tile  = 0;
-    uint32_t kv_tile = 0;
-    uint32_t wg_size = 0;
-};
+inline constexpr uint32_t GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH = 4u;
+inline constexpr uint32_t GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE       = 4u;
 
 inline uint32_t ggml_webgpu_flash_attn_pick_vec_ne(const ggml_webgpu_flash_attn_pipeline_key & key) {
-    // Keep conservative defaults unless this is the f16 vec-split shape family.
-    if (key.kv_type != GGML_TYPE_F16 || key.head_dim_qk != key.head_dim_v) {
+    if (key.path != GGML_WEBGPU_FLASH_ATTN_PATH_VEC || key.kv_type != GGML_TYPE_F16 ||
+        key.head_dim_qk != key.head_dim_v) {
         return 1u;
     }
 
-    // Head-dim specializations used by the tuned vec f16 path.
     switch (key.head_dim_qk) {
         case 64:
-            return 2u;
-        case 96:
-            return 4u;
-        case 128:
-            return 1u;
         case 192:
-            return 2u;
         case 576:
             return 2u;
+        case 96:
+            return 4u;
         default:
             return 1u;
     }
 }
 
+inline ggml_webgpu_flash_attn_pipeline_key ggml_webgpu_flash_attn_make_pipeline_key(
+    const ggml_webgpu_shader_lib_context & context,
+    uint32_t                               path) {
+    const bool has_mask  = context.src3 != nullptr;
+    const bool has_sinks = context.src4 != nullptr;
+    bool       kv_direct = false;
+    if (path != GGML_WEBGPU_FLASH_ATTN_PATH_TILE) {
+        uint32_t kv_direct_align = GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH;
+        if (path == GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX) {
+            kv_direct_align = context.sg_mat_k;
+        }
+        kv_direct = (context.src1->type == GGML_TYPE_F16) &&
+                    (context.src0->ne[0] % std::max(1u, kv_direct_align) == 0) &&
+                    (context.src1->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0);
+    }
+
+    ggml_webgpu_flash_attn_pipeline_key key = {};
+    key.kv_type                             = context.src1->type;
+    key.head_dim_qk                         = (uint32_t) context.src0->ne[0];
+    key.head_dim_v                          = (uint32_t) context.src2->ne[0];
+    key.kv_direct                           = kv_direct;
+    key.kv_overlap                          = ggml_webgpu_tensor_overlap(context.src1, context.src2);
+    key.has_mask                            = has_mask;
+    key.has_sinks                           = has_sinks;
+    key.uses_logit_softcap                  = ggml_get_op_params_f32(context.dst, 2) != 0.0f;
+    key.path                                = path;
+    return key;
+}
+
 struct ggml_webgpu_flash_attn_vec_reduce_pipeline_key {
     uint32_t head_dim_v;
     uint32_t wg_size;
@@ -471,79 +642,20 @@ inline bool operator==(const ggml_webgpu_flash_attn_vec_reduce_pipeline_key & lh
     return lhs.head_dim_v == rhs.head_dim_v && lhs.wg_size == rhs.wg_size;
 }
 
-struct ggml_webgpu_flash_attn_vec_reduce_shader_lib_context {
-    ggml_webgpu_flash_attn_vec_reduce_pipeline_key key;
-    uint32_t                                       max_wg_size;
-};
-
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_vec_reduce_shader(
-    pre_wgsl::Preprocessor &                                     preprocessor,
-    const char *                                                 shader_src,
-    const ggml_webgpu_flash_attn_vec_reduce_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "flash_attn_vec_reduce";
-
-    defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(context.key.head_dim_v));
-    variant += std::string("_hsv") + std::to_string(context.key.head_dim_v);
-
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
-    variant += std::string("_wg") + std::to_string(context.max_wg_size);
-
-    ggml_webgpu_processed_shader result;
-    result.wgsl    = preprocessor.preprocess(shader_src, defines);
-    result.variant = variant;
-    return result;
-}
-
 struct ggml_webgpu_flash_attn_blk_pipeline_key {
-    uint32_t q_tile;
     uint32_t kv_tile;
 
-    bool operator==(const ggml_webgpu_flash_attn_blk_pipeline_key & other) const {
-        return q_tile == other.q_tile && kv_tile == other.kv_tile;
-    }
+    bool operator==(const ggml_webgpu_flash_attn_blk_pipeline_key & other) const { return kv_tile == other.kv_tile; }
 };
 
 struct ggml_webgpu_flash_attn_blk_pipeline_key_hash {
     size_t operator()(const ggml_webgpu_flash_attn_blk_pipeline_key & key) const {
         size_t seed = 0;
-        ggml_webgpu_hash_combine(seed, key.q_tile);
         ggml_webgpu_hash_combine(seed, key.kv_tile);
         return seed;
     }
 };
 
-struct ggml_webgpu_flash_attn_blk_shader_lib_context {
-    ggml_webgpu_flash_attn_blk_pipeline_key key;
-    uint32_t                                max_wg_size;
-};
-
-inline ggml_webgpu_processed_shader ggml_webgpu_preprocess_flash_attn_blk_shader(
-    pre_wgsl::Preprocessor &                              preprocessor,
-    const char *                                          shader_src,
-    const ggml_webgpu_flash_attn_blk_shader_lib_context & context) {
-    std::vector<std::string> defines;
-    std::string              variant = "flash_attn_vec_blk";
-
-    defines.push_back(std::string("Q_TILE=") + std::to_string(context.key.q_tile));
-    variant += std::string("_qt") + std::to_string(context.key.q_tile);
-
-    defines.push_back(std::string("KV_TILE=") + std::to_string(context.key.kv_tile));
-    variant += std::string("_kvt") + std::to_string(context.key.kv_tile);
-
-    uint32_t wg_size = 1;
-    while ((wg_size << 1) <= context.max_wg_size) {
-        wg_size <<= 1;
-    }
-    defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-    variant += std::string("_wg") + std::to_string(wg_size);
-
-    ggml_webgpu_processed_shader result;
-    result.wgsl    = preprocessor.preprocess(shader_src, defines);
-    result.variant = variant;
-    return result;
-}
-
 // This is exposed because it's necessary in supports_op
 inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile,
                                                   uint32_t kv_tile,
@@ -568,6 +680,124 @@ inline size_t ggml_webgpu_flash_attn_wg_mem_bytes(uint32_t q_tile,
     return f16_elems * GGML_WEBGPU_F16_SIZE_BYTES + f32_elems * GGML_WEBGPU_F32_SIZE_BYTES;
 }
 
+inline uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_shader_lib_context &      context,
+                                                   const ggml_webgpu_flash_attn_pipeline_key & key) {
+    const size_t limit_bytes    = context.wg_mem_limit_bytes;
+    uint32_t     q_tile         = context.sg_mat_m;
+    uint32_t     kv_granularity = context.sg_mat_n;
+    if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) {
+        q_tile         = GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE;
+        kv_granularity = std::max(1u, context.max_subgroup_size);
+    } else if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+        q_tile         = 1u;
+        kv_granularity = 8u;
+    }
+    const size_t base_q_bytes = (key.head_dim_qk + key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
+                                2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
+    size_t       bytes_per_kv = 0;
+    if (!key.kv_direct) {
+        bytes_per_kv += std::max(key.head_dim_qk, key.head_dim_v);
+    }
+    if (key.has_mask) {
+        bytes_per_kv += q_tile;
+    }
+    bytes_per_kv += q_tile;
+    bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
+    const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
+    return (max_kv_tile / kv_granularity) * kv_granularity;
+}
+
+inline ggml_webgpu_flash_attn_decisions ggml_webgpu_flash_attn_get_decisions(
+    const ggml_webgpu_shader_lib_context & context,
+    size_t                                 storage_offset_alignment) {
+    ggml_webgpu_flash_attn_decisions decisions = {};
+    const size_t                     alignment = std::max<size_t>(1u, storage_offset_alignment);
+    const auto *                     K         = context.src1;
+    const auto *                     V         = context.src2;
+    GGML_ASSERT(K != nullptr);
+    GGML_ASSERT(V != nullptr);
+
+    const auto flash_attn_tensor_offset = [](const ggml_tensor * tensor) -> size_t {
+        constexpr uintptr_t ptr_base_addr = 0x1000u;
+        const ggml_tensor * base          = tensor->view_src != nullptr ? tensor->view_src : tensor;
+        return reinterpret_cast<uintptr_t>(base->data) - ptr_base_addr + tensor->view_offs;
+    };
+
+    const uint32_t k_offset_elems =
+        (uint32_t) ((flash_attn_tensor_offset(K) & (alignment - 1)) / ggml_type_size(K->type));
+    const uint32_t v_offset_elems =
+        (uint32_t) ((flash_attn_tensor_offset(V) & (alignment - 1)) / ggml_type_size(V->type));
+    const bool f16_vec4_aligned = (k_offset_elems % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0u) &&
+                                  (v_offset_elems % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0u);
+    const bool kv_vec_type_supported =
+        K->type == GGML_TYPE_F16 || K->type == GGML_TYPE_Q4_0 || K->type == GGML_TYPE_Q8_0;
+    const bool use_vec  = context.supports_subgroups && (context.src0->ne[1] < 20) && (context.src0->ne[0] % 32 == 0) &&
+                          (context.src2->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) &&
+                          kv_vec_type_supported && (K->type != GGML_TYPE_F16 || f16_vec4_aligned) &&
+                          (context.src2->type == K->type);
+    const bool use_tile = context.supports_subgroups && !context.supports_subgroup_matrix && K->type == GGML_TYPE_F16 &&
+                          V->type == GGML_TYPE_F16 && f16_vec4_aligned &&
+                          (context.src0->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) &&
+                          (context.src2->ne[0] % GGML_WEBGPU_FLASH_ATTN_TILE_KV_VEC_WIDTH == 0) && !use_vec;
+
+    decisions.path = use_vec                          ? GGML_WEBGPU_FLASH_ATTN_PATH_VEC :
+                     use_tile                         ? GGML_WEBGPU_FLASH_ATTN_PATH_TILE :
+                     context.supports_subgroup_matrix ? GGML_WEBGPU_FLASH_ATTN_PATH_SUBGROUP_MATRIX :
+                                                        GGML_WEBGPU_FLASH_ATTN_PATH_NONE;
+
+    if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_NONE) {
+        return decisions;
+    }
+
+    const ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions.path);
+    decisions.kv_direct                           = key.kv_direct;
+    const uint32_t max_kv_tile                    = ggml_webgpu_flash_attn_max_kv_tile(context, key);
+    // invalidate if even the smallest kv_tile doesn't fit in shared memory
+    if (max_kv_tile == 0) {
+        decisions.path = GGML_WEBGPU_FLASH_ATTN_PATH_NONE;
+        return decisions;
+    }
+
+    if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+        decisions.q_tile  = 1u;
+        decisions.kv_tile = std::max(8u, std::min(32u, max_kv_tile));
+        decisions.kv_tile = (decisions.kv_tile / 8u) * 8u;
+        decisions.wg_size = std::max(1u, std::min<uint32_t>(32u, context.max_subgroup_size));
+        if (decisions.kv_direct) {
+            decisions.kv_tile = std::min(decisions.kv_tile, GGML_WEBGPU_KV_SEQ_PAD);
+            while (GGML_WEBGPU_KV_SEQ_PAD % decisions.kv_tile != 0) {
+                decisions.kv_tile -= 8u;
+            }
+        }
+        return decisions;
+    }
+
+    decisions.q_tile =
+        decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ? GGML_WEBGPU_FLASH_ATTN_TILE_Q_TILE : context.sg_mat_m;
+    decisions.kv_tile = decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ?
+                            std::min(64u, max_kv_tile) :
+                            std::min(max_kv_tile, context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
+    decisions.wg_size = decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ?
+                            GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE :
+                            std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
+
+    if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) {
+        const uint32_t tile_kv_granularity = std::max(1u, context.max_subgroup_size);
+        decisions.kv_tile =
+            std::max(tile_kv_granularity, (decisions.kv_tile / tile_kv_granularity) * tile_kv_granularity);
+    }
+
+    if (decisions.kv_direct) {
+        GGML_ASSERT(decisions.kv_tile <= GGML_WEBGPU_KV_SEQ_PAD);
+        while (GGML_WEBGPU_KV_SEQ_PAD % decisions.kv_tile != 0) {
+            decisions.kv_tile -= decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ?
+                                     std::max(1u, context.max_subgroup_size) :
+                                     context.sg_mat_n;
+        }
+    }
+    return decisions;
+}
+
 /** Matrix Multiplication **/
 
 struct ggml_webgpu_legacy_mul_mat_pipeline_key {
@@ -610,7 +840,6 @@ struct ggml_webgpu_mul_mat_vec_pipeline_key_hash {
 
 struct ggml_webgpu_mul_mat_vec_shader_decisions {
     uint32_t wg_size;
-    uint32_t tile_k;
     uint32_t outputs_per_wg;
     uint32_t vec_size;
 };
@@ -658,6 +887,31 @@ struct ggml_webgpu_mul_mat_shader_decisions {
     uint32_t mul_mat_wg_size;
 };
 
+/** MUL_MAT_ID **/
+
+struct ggml_webgpu_mul_mat_id_pipeline_key {
+    ggml_type src0_type;
+    ggml_type src1_type;
+    uint32_t  n_experts;
+    int       vectorized;
+
+    bool operator==(const ggml_webgpu_mul_mat_id_pipeline_key & other) const {
+        return src0_type == other.src0_type && src1_type == other.src1_type && n_experts == other.n_experts &&
+               vectorized == other.vectorized;
+    }
+};
+
+struct ggml_webgpu_mul_mat_id_pipeline_key_hash {
+    size_t operator()(const ggml_webgpu_mul_mat_id_pipeline_key & key) const {
+        size_t seed = 0;
+        ggml_webgpu_hash_combine(seed, key.src0_type);
+        ggml_webgpu_hash_combine(seed, key.src1_type);
+        ggml_webgpu_hash_combine(seed, key.n_experts);
+        ggml_webgpu_hash_combine(seed, key.vectorized);
+        return seed;
+    }
+};
+
 /** Cpy **/
 
 struct ggml_webgpu_cpy_pipeline_key {
@@ -758,16 +1012,19 @@ class ggml_webgpu_shader_lib {
     std::unordered_map<int, webgpu_pipeline> cumsum_pipelines;         // key is fixed, no variants yet
     std::unordered_map<ggml_webgpu_row_norm_pipeline_key, webgpu_pipeline, ggml_webgpu_row_norm_pipeline_key_hash>
         row_norm_pipelines;                                            // op/inplace
+
     std::unordered_map<ggml_webgpu_get_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_get_rows_pipeline_key_hash>
-        get_rows_pipelines;                                            // src_type, vectorized
+        get_rows_pipelines;   // src_type, vectorized
     std::unordered_map<ggml_webgpu_unary_pipeline_key, webgpu_pipeline, ggml_webgpu_unary_pipeline_key_hash>
-        unary_pipelines;                                               // type/op/inplace
+        unary_pipelines;      // type/op/inplace
     std::unordered_map<ggml_webgpu_scale_pipeline_key, webgpu_pipeline, ggml_webgpu_scale_pipeline_key_hash>
-        scale_pipelines;                                               // inplace
+        scale_pipelines;      // inplace
     std::unordered_map<ggml_webgpu_solve_tri_pipeline_key, webgpu_pipeline, ggml_webgpu_solve_tri_pipeline_key_hash>
-        solve_tri_pipelines;                                           // type
+        solve_tri_pipelines;  // type
     std::unordered_map<ggml_webgpu_ssm_conv_pipeline_key, webgpu_pipeline, ggml_webgpu_ssm_conv_pipeline_key_hash>
-        ssm_conv_pipelines;                                            // type/vectorized
+        ssm_conv_pipelines;   // type/vectorized
+    std::unordered_map<ggml_webgpu_ssm_scan_pipeline_key, webgpu_pipeline, ggml_webgpu_ssm_scan_pipeline_key_hash>
+        ssm_scan_pipelines;   // type/d_state
     std::unordered_map<ggml_webgpu_gated_delta_net_pipeline_key,
                        webgpu_pipeline,
                        ggml_webgpu_gated_delta_net_pipeline_key_hash>
@@ -797,7 +1054,12 @@ class ggml_webgpu_shader_lib {
     std::unordered_map<ggml_webgpu_mul_mat_vec_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_vec_pipeline_key_hash>
         mul_mat_vec_pipelines;     // fast mat-vec (n==1)
     std::unordered_map<ggml_webgpu_mul_mat_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_pipeline_key_hash>
-        mul_mat_fast_pipelines;    // fast mat-mat (reg-tile or subgroup)
+                                             mul_mat_fast_pipelines;       // fast mat-mat (reg-tile or subgroup)
+    std::unordered_map<int, webgpu_pipeline> mul_mat_id_gather_pipelines;  // key is fixed
+    std::unordered_map<ggml_webgpu_mul_mat_id_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_id_pipeline_key_hash>
+        mul_mat_id_pipelines;                                              // src0_type/src1_type
+    std::unordered_map<ggml_webgpu_mul_mat_id_pipeline_key, webgpu_pipeline, ggml_webgpu_mul_mat_id_pipeline_key_hash>
+        mul_mat_id_vec_pipelines;                                          // src0_type/src1_type
 
     std::unordered_map<ggml_webgpu_set_rows_pipeline_key, webgpu_pipeline, ggml_webgpu_set_rows_pipeline_key_hash>
         set_rows_pipelines;
@@ -808,6 +1070,17 @@ class ggml_webgpu_shader_lib {
         rope_pipelines;
     std::unordered_map<ggml_webgpu_soft_max_pipeline_key, webgpu_pipeline, ggml_webgpu_soft_max_pipeline_key_hash>
         soft_max_pipelines;
+    std::unordered_map<ggml_webgpu_conv2d_pipeline_key, webgpu_pipeline, ggml_webgpu_conv2d_pipeline_key_hash>
+        conv2d_pipelines;
+    std::unordered_map<ggml_webgpu_im2col_pipeline_key, webgpu_pipeline, ggml_webgpu_im2col_pipeline_key_hash>
+        im2col_pipelines;
+
+    std::unordered_map<ggml_webgpu_rms_norm_mul_pipeline_key,
+                       webgpu_pipeline,
+                       ggml_webgpu_rms_norm_mul_pipeline_key_hash>
+        rms_norm_mul_pipelines;
+    std::unordered_map<ggml_webgpu_upscale_pipeline_key, webgpu_pipeline, ggml_webgpu_upscale_pipeline_key_hash>
+        upscale_pipelines;
 
   public:
     ggml_webgpu_shader_lib(wgpu::Device device) { this->device = device; }
@@ -826,10 +1099,11 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_row_norm_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_row_norm_pipeline_key key = {
-            .op      = context.dst->op,
-            .inplace = context.inplace,
-        };
+        ggml_webgpu_row_norm_pipeline_key key = {};
+        key.op                                = context.dst->op;
+        key.src_type                          = context.src0->type;
+        key.dst_type                          = context.dst->type;
+        key.inplace                           = ggml_webgpu_tensor_equal(context.src0, context.dst);
 
         auto it = row_norm_pipelines.find(key);
         if (it != row_norm_pipelines.end()) {
@@ -843,6 +1117,10 @@ class ggml_webgpu_shader_lib {
                 defines.push_back("RMS_NORM");
                 variant = "rms_norm";
                 break;
+            case GGML_OP_NORM:
+                defines.push_back("NORM");
+                variant = "norm";
+                break;
             case GGML_OP_L2_NORM:
                 defines.push_back("L2_NORM");
                 variant = "l2_norm";
@@ -856,11 +1134,31 @@ class ggml_webgpu_shader_lib {
             variant += "_inplace";
         }
 
+        if (key.src_type == GGML_TYPE_F32) {
+            defines.push_back("SRC_F32");
+            variant += "_src_f32";
+        } else if (key.src_type == GGML_TYPE_F16) {
+            defines.push_back("SRC_F16");
+            variant += "_src_f16";
+        }
+
+        if (key.dst_type == GGML_TYPE_F32) {
+            defines.push_back("DST_F32");
+            variant += "_dst_f32";
+        } else if (key.dst_type == GGML_TYPE_F16) {
+            defines.push_back("DST_F16");
+            variant += "_dst_f16";
+        }
+
         const uint32_t row_norm_wg_size = 128u;
         uint32_t       wg_size          = std::min(context.max_wg_size, row_norm_wg_size);
         defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-        auto processed          = preprocessor.preprocess(wgsl_row_norm, defines);
-        row_norm_pipelines[key] = ggml_webgpu_create_pipeline(device, processed, variant);
+        auto processed                  = preprocessor.preprocess(wgsl_row_norm, defines);
+        auto decisions                  = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size              = wg_size;
+        decisions->inplace              = key.inplace;
+        row_norm_pipelines[key]         = ggml_webgpu_create_pipeline(device, processed, variant);
+        row_norm_pipelines[key].context = decisions;
         return row_norm_pipelines[key];
     }
 
@@ -885,9 +1183,10 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_set_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_set_rows_pipeline_key key = { .dst_type = context.dst->type,
-                                                  .vec4     = context.src0->ne[0] % 4 == 0,
-                                                  .i64_idx  = context.src1->type == GGML_TYPE_I64 };
+        ggml_webgpu_set_rows_pipeline_key key = {};
+        key.dst_type                          = context.dst->type;
+        key.vec4                              = context.src0->ne[0] % 4 == 0;
+        key.i64_idx                           = context.src1->type == GGML_TYPE_I64;
 
         auto it = set_rows_pipelines.find(key);
         if (it != set_rows_pipelines.end()) {
@@ -932,7 +1231,9 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_set_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_set_pipeline_key key = { .type = context.dst->type, .inplace = context.inplace };
+        ggml_webgpu_set_pipeline_key key = {};
+        key.type                         = context.dst->type;
+        key.inplace                      = ggml_webgpu_tensor_equal(context.src0, context.dst);
 
         auto it = set_pipelines.find(key);
         if (it != set_pipelines.end()) {
@@ -965,6 +1266,7 @@ class ggml_webgpu_shader_lib {
         auto processed           = preprocessor.preprocess(wgsl_set, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
         decisions->wg_size       = context.max_wg_size;
+        decisions->inplace       = key.inplace;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
         set_pipelines[key]       = pipeline;
@@ -1039,10 +1341,9 @@ class ggml_webgpu_shader_lib {
 
     webgpu_pipeline get_get_rows_pipeline(const ggml_webgpu_shader_lib_context & context) {
         const bool vectorized                 = context.src0->type == GGML_TYPE_F32 && context.dst->ne[0] % 4 == 0;
-        ggml_webgpu_get_rows_pipeline_key key = {
-            .src_type   = context.src0->type,
-            .vectorized = (int) vectorized,
-        };
+        ggml_webgpu_get_rows_pipeline_key key = {};
+        key.src_type                          = context.src0->type;
+        key.vectorized                        = (int) vectorized;
 
         auto it = get_rows_pipelines.find(key);
         if (it != get_rows_pipelines.end()) {
@@ -1092,6 +1393,32 @@ class ggml_webgpu_shader_lib {
                     std::string type_upper = type_str;
                     std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
 
+                    switch (key.src_type) {
+                        case GGML_TYPE_Q1_0:
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q6_K:
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ4_NL:
+                            {
+                                // Quantized types using u32 buffers for portability.
+                                defines.push_back("SRC_TYPE=u32");
+                                defines.push_back("U32_DEQUANT_HELPERS");
+                                break;
+                            }
+                        default:
+                            {
+                                defines.push_back(std::string("SRC_TYPE=") + type_str);
+                            }
+                    }
+
                     defines.push_back("BYTE_HELPERS");
                     defines.push_back(type_upper + "_T");
                     defines.push_back(type_upper);
@@ -1102,11 +1429,12 @@ class ggml_webgpu_shader_lib {
                     variant += "_";
                     variant += type_str;
 
-                    defines.push_back(std::string("SRC_TYPE=") + type_str);
                     defines.push_back("DST_TYPE=f32");
 
-                    if ((key.src_type >= GGML_TYPE_Q4_0 && key.src_type <= GGML_TYPE_Q8_1) ||
-                        key.src_type == GGML_TYPE_IQ4_NL) {
+                    if (key.src_type == GGML_TYPE_Q1_0) {
+                        defines.push_back("BLOCK_SIZE=128u");
+                    } else if ((key.src_type >= GGML_TYPE_Q4_0 && key.src_type <= GGML_TYPE_Q8_1) ||
+                               key.src_type == GGML_TYPE_IQ4_NL) {
                         defines.push_back("BLOCK_SIZE=32u");
                     } else if (key.src_type >= GGML_TYPE_Q2_K) {
                         defines.push_back("BLOCK_SIZE=256u");
@@ -1133,7 +1461,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_scale_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_scale_pipeline_key key = { .inplace = context.inplace };
+        ggml_webgpu_scale_pipeline_key key = {};
+        key.inplace                        = ggml_webgpu_tensor_equal(context.src0, context.dst);
 
         auto it = scale_pipelines.find(key);
         if (it != scale_pipelines.end()) {
@@ -1153,6 +1482,7 @@ class ggml_webgpu_shader_lib {
         auto processed           = preprocessor.preprocess(wgsl_scale, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
         decisions->wg_size       = context.max_wg_size;
+        decisions->inplace       = key.inplace;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
         scale_pipelines[key]     = pipeline;
@@ -1160,11 +1490,10 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_solve_tri_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_solve_tri_pipeline_key key = {
-            .type = context.dst->type,
-            .n    = (int) context.src0->ne[0],
-            .k    = (int) context.src1->ne[0],
-        };
+        ggml_webgpu_solve_tri_pipeline_key key = {};
+        key.type                               = context.dst->type;
+        key.n                                  = (int) context.src0->ne[0];
+        key.k                                  = (int) context.src1->ne[0];
 
         auto it = solve_tri_pipelines.find(key);
         if (it != solve_tri_pipelines.end()) {
@@ -1202,10 +1531,9 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_ssm_conv_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_ssm_conv_pipeline_key key = {
-            .type       = context.dst->type,
-            .vectorized = context.src1->ne[0] == 4,
-        };
+        ggml_webgpu_ssm_conv_pipeline_key key = {};
+        key.type                              = context.dst->type;
+        key.vectorized                        = context.src1->ne[0] == 4;
 
         auto it = ssm_conv_pipelines.find(key);
         if (it != ssm_conv_pipelines.end()) {
@@ -1244,12 +1572,65 @@ class ggml_webgpu_shader_lib {
         return ssm_conv_pipelines[key];
     }
 
+    webgpu_pipeline get_ssm_scan_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_ssm_scan_pipeline_key key = {};
+        key.type                              = context.dst->type;
+        key.d_state                           = (int) context.src0->ne[0];
+        key.xbc_overlap                       = ggml_webgpu_tensor_overlap(context.src1, context.src4) &&
+                                                ggml_webgpu_tensor_overlap(context.src1, context.src5);
+
+        auto it = ssm_scan_pipelines.find(key);
+        if (it != ssm_scan_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "ssm_scan";
+
+        switch (key.type) {
+            case GGML_TYPE_F32:
+                variant += "_f32";
+                break;
+            default:
+                GGML_ABORT("Unsupported type for ssm_scan shader");
+        }
+
+        const uint32_t wg_size = (uint32_t) key.d_state;
+
+        constexpr uint32_t tokens_per_tile = 4u;
+
+        defines.push_back("WG_SIZE=" + std::to_string(wg_size) + "u");
+        defines.push_back("TOKENS_PER_TILE=" + std::to_string(tokens_per_tile) + "u");
+
+        if (context.supports_subgroups) {
+            defines.push_back("USE_SUBGROUP_REDUCTION");
+            variant += "_sg_reduce";
+        } else {
+            variant += "_wg_reduce";
+        }
+
+        if (key.xbc_overlap) {
+            defines.push_back("XBC_OVERLAP");
+        }
+
+        variant += "_d" + std::to_string(key.d_state);
+
+        auto processed             = preprocessor.preprocess(wgsl_ssm_scan, defines);
+        auto decisions             = std::make_shared<ggml_webgpu_ssm_scan_shader_decisions>();
+        decisions->wg_size         = wg_size;
+        decisions->tokens_per_tile = tokens_per_tile;
+        decisions->xbc_overlap     = key.xbc_overlap;
+        webgpu_pipeline pipeline   = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context           = decisions;
+        ssm_scan_pipelines[key]    = pipeline;
+        return ssm_scan_pipelines[key];
+    }
+
     webgpu_pipeline get_gated_delta_net_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_gated_delta_net_pipeline_key key = {
-            .type = context.dst->type,
-            .s_v  = (int) context.src2->ne[0],
-            .kda  = context.src3->ne[0] == context.src2->ne[0],
-        };
+        ggml_webgpu_gated_delta_net_pipeline_key key = {};
+        key.type                                     = context.dst->type;
+        key.s_v                                      = (int) context.src2->ne[0];
+        key.kda                                      = context.src3->ne[0] == context.src2->ne[0];
 
         auto it = gated_delta_net_pipelines.find(key);
         if (it != gated_delta_net_pipelines.end()) {
@@ -1282,7 +1663,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_pad_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_pad_pipeline_key key = { .circular = ggml_get_op_params_i32(context.dst, 8) != 0 };
+        ggml_webgpu_pad_pipeline_key key = {};
+        key.circular                     = ggml_get_op_params_i32(context.dst, 8) != 0;
 
         auto it = pad_pipelines.find(key);
         if (it != pad_pipelines.end()) {
@@ -1309,15 +1691,13 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_mul_mat_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_mul_mat_vec_pipeline_key key = {
-            .src0_type  = context.src0->type,
-            .src1_type  = context.src1->type,
-            // Quantized mat-vec path currently runs scalar; only allow vectorization when both inputs are float
-            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 &&
-                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
-                              1 :
-                              0,
-        };
+        ggml_webgpu_mul_mat_vec_pipeline_key key = {};
+        key.src0_type                            = context.src0->type;
+        key.src1_type                            = context.src1->type;
+        key.vectorized = (context.src0->ne[0] % 4 == 0 &&
+                          (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                             1 :
+                             0;
 
         auto it = mul_mat_vec_pipelines.find(key);
         if (it != mul_mat_vec_pipelines.end()) {
@@ -1325,7 +1705,8 @@ class ggml_webgpu_shader_lib {
         }
 
         std::vector<std::string> defines;
-        std::string              variant = "mul_mat_vec";
+        std::string              variant    = "mul_mat_vec";
+        const char *             shader_src = wgsl_mul_mat_vec;
 
         // src0 type (matrix row)
         switch (context.src0->type) {
@@ -1352,6 +1733,24 @@ class ggml_webgpu_shader_lib {
                     defines.push_back("MUL_ACC_" + type_upper);
                     defines.push_back("U32_DEQUANT_HELPERS");
                     defines.push_back("SRC0_INNER_TYPE=u32");
+                    switch (context.src0->type) {
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ1_M:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ4_NL:
+                        case GGML_TYPE_IQ4_XS:
+                            defines.push_back(type_upper + "_GRID");
+                            break;
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ3_XXS:
+                            defines.push_back(type_upper + "_GRID");
+                            defines.push_back(type_upper + "_TABLES");
+                            break;
+                        default:
+                            break;
+                    }
                     break;
                 }
         }
@@ -1374,25 +1773,27 @@ class ggml_webgpu_shader_lib {
         defines.push_back(key.vectorized ? "VEC" : "SCALAR");
 
         uint32_t wg_size        = WEBGPU_MUL_MAT_VEC_WG_SIZE;
-        uint32_t tile_k         = WEBGPU_MUL_MAT_VEC_FLOAT_TILE_K;
         uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG;
 
-        if (key.src0_type >= GGML_TYPE_Q2_K) {
-            tile_k         = WEBGPU_MUL_MAT_VEC_K_Q_TILE_K;
+        if (key.src0_type == GGML_TYPE_Q1_0) {
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
+        } else if (key.src0_type >= GGML_TYPE_Q2_K) {
             outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG;
         } else if (key.src0_type >= GGML_TYPE_Q4_0) {
-            tile_k         = WEBGPU_MUL_MAT_VEC_LEGACY_Q_TILE_K;
             outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
         }
 
         defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
-        defines.push_back(std::string("TILE_K=") + std::to_string(tile_k));
         defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg));
+        defines.push_back(context.supports_subgroups ? "USE_SUBGROUP_REDUCTION" : "USE_WORKGROUP_REDUCTION");
+        variant += context.supports_subgroups ? "_sg_reduce" : "_wg_reduce";
+        if (key.vectorized) {
+            variant += "_vectorized";
+        }
 
-        auto processed            = preprocessor.preprocess(wgsl_mul_mat_vec, defines);
+        auto processed            = preprocessor.preprocess(shader_src, defines);
         auto decisions            = std::make_shared<ggml_webgpu_mul_mat_vec_shader_decisions>();
         decisions->wg_size        = wg_size;
-        decisions->tile_k         = tile_k;
         decisions->outputs_per_wg = outputs_per_wg;
         decisions->vec_size       = key.vectorized ? 4 : 1;
 
@@ -1403,15 +1804,14 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_mul_mat_fast_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_mul_mat_pipeline_key key = {
-            .src0_type  = context.src0->type,
-            .src1_type  = context.src1->type,
-            .vectorized = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 && context.dst->ne[1] % 4 == 0 &&
-                           (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
-                              1 :
-                              0,
-            .use_subgroup_matrix = context.supports_subgroup_matrix
-        };
+        ggml_webgpu_mul_mat_pipeline_key key = {};
+        key.src0_type           = context.src0->type;
+        key.src1_type           = context.src1->type;
+        key.vectorized          = (context.src0->ne[0] % 4 == 0 && context.dst->ne[0] % 4 == 0 &&
+                                   (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                                      1 :
+                                      0;
+        key.use_subgroup_matrix = context.supports_subgroup_matrix;
 
         auto it = mul_mat_fast_pipelines.find(key);
         if (it != mul_mat_fast_pipelines.end()) {
@@ -1467,6 +1867,25 @@ class ggml_webgpu_shader_lib {
                     defines.push_back("U32_DEQUANT_HELPERS");
                     defines.push_back("SRC0_INNER_TYPE=u32");
 
+                    switch (context.src0->type) {
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ1_M:
+                        case GGML_TYPE_IQ4_NL:
+                        case GGML_TYPE_IQ4_XS:
+                            defines.push_back(type_upper + "_GRID");
+                            break;
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                            defines.push_back(type_upper + "_GRID");
+                            defines.push_back(type_upper + "_TABLES");
+                            break;
+                        default:
+                            break;
+                    }
+
                     variant += std::string("_") + src0_name;
                     break;
                 }
@@ -1475,13 +1894,22 @@ class ggml_webgpu_shader_lib {
         // VEC/SCALAR controls
         defines.push_back(key.vectorized ? "VEC" : "SCALAR");
 
+        const bool is_quant = ggml_is_quantized(context.src0->type);
+
+        uint32_t tile_k;
+        if (key.use_subgroup_matrix) {
+            tile_k = is_quant ? WEBGPU_MUL_MAT_SUBGROUP_TILE_K_QUANT : WEBGPU_MUL_MAT_SUBGROUP_TILE_K_FLOAT;
+        } else {
+            tile_k = is_quant ? WEBGPU_MUL_MAT_REG_TILE_K_QUANT : WEBGPU_MUL_MAT_REG_TILE_K_FLOAT;
+        }
+
         // Tiles
         defines.push_back("TILE_M=" + std::to_string(WEBGPU_MUL_MAT_TILE_M) + "u");
         defines.push_back("TILE_N=" + std::to_string(WEBGPU_MUL_MAT_TILE_N) + "u");
-        defines.push_back("TILE_K=" + std::to_string(WEBGPU_MUL_MAT_TILE_K) + "u");
 
         // Subgroup matrix specifics
         if (key.use_subgroup_matrix) {
+            defines.push_back("TILE_K=" + std::to_string(tile_k) + "u");
             defines.push_back("MAX_SUBGROUP_SIZE=" + std::to_string(context.max_subgroup_size) + "u");
             defines.push_back("SUBGROUP_M=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_M) + "u");
             defines.push_back("SUBGROUP_N=" + std::to_string(WEBGPU_MUL_MAT_SUBGROUP_N) + "u");
@@ -1501,12 +1929,13 @@ class ggml_webgpu_shader_lib {
         if (!key.use_subgroup_matrix) {
             defines.push_back("WORKGROUP_SIZE_M=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_M) + "u");
             defines.push_back("WORKGROUP_SIZE_N=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_N) + "u");
+            defines.push_back("TILE_K=" + std::to_string(tile_k) + "u");
         }
 
         auto processed = preprocessor.preprocess(shader_src, defines);
 
         auto decisions                 = std::make_shared<ggml_webgpu_mul_mat_shader_decisions>();
-        decisions->tile_k              = WEBGPU_MUL_MAT_TILE_K;
+        decisions->tile_k              = tile_k;
         decisions->tile_m              = WEBGPU_MUL_MAT_TILE_M;
         decisions->tile_n              = WEBGPU_MUL_MAT_TILE_N;
         decisions->use_subgroup_matrix = key.use_subgroup_matrix;
@@ -1530,8 +1959,9 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_mul_mat_legacy_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_legacy_mul_mat_pipeline_key key = { .src0_type = context.src0->type,
-                                                        .src1_type = context.src1->type };
+        ggml_webgpu_legacy_mul_mat_pipeline_key key = {};
+        key.src0_type                               = context.src0->type;
+        key.src1_type                               = context.src1->type;
 
         auto it = mul_mat_legacy_pipelines.find(key);
         if (it != mul_mat_legacy_pipelines.end()) {
@@ -1570,11 +2000,34 @@ class ggml_webgpu_shader_lib {
                 break;
             default:
                 {
-                    // quantized types
                     std::string type_upper = src0_name;
                     std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
 
-                    defines.push_back(std::string("SRC0_TYPE=") + src0_name);
+                    switch (context.src0->type) {
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q6_K:
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ4_NL:
+                            {
+                                // Quantized types using u32 buffers for portability.
+                                defines.push_back("SRC0_TYPE=u32");
+                                defines.push_back("U32_DEQUANT_HELPERS");
+                                break;
+                            }
+                        default:
+                            {
+                                defines.push_back(std::string("SRC0_TYPE=") + src0_name);
+                            }
+                    }
+
                     defines.push_back("BYTE_HELPERS");
                     defines.push_back(type_upper + "_T");
                     defines.push_back(type_upper);
@@ -1598,16 +2051,270 @@ class ggml_webgpu_shader_lib {
         return mul_mat_legacy_pipelines[key];
     }
 
+    webgpu_pipeline get_mul_mat_id_gather_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        auto it = mul_mat_id_gather_pipelines.find(1);
+        if (it != mul_mat_id_gather_pipelines.end()) {
+            return it->second;
+        }
+        std::vector<std::string> defines;
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed     = preprocessor.preprocess(wgsl_mul_mat_id_gather, defines);
+        auto decisions     = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size = context.max_wg_size;
+
+        webgpu_pipeline pipeline       = ggml_webgpu_create_pipeline(device, processed, "mul_mat_id_gather");
+        pipeline.context               = decisions;
+        mul_mat_id_gather_pipelines[1] = pipeline;
+        return pipeline;
+    }
+
+    webgpu_pipeline get_mul_mat_id_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_id_pipeline_key key = {};
+        key.src0_type                           = context.src0->type;
+        key.src1_type                           = context.src1->type;
+        key.n_experts                           = context.src0->ne[2];
+        key.vectorized = (context.src0->ne[0] % 4 == 0 && context.src0->ne[1] % 4 == 0 &&
+                          (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                             1 :
+                             0;
+
+        auto it = mul_mat_id_pipelines.find(key);
+        if (it != mul_mat_id_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "mul_mat_id";
+        defines.push_back("MUL_MAT_ID");
+
+        // src1 type
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_INNER_TYPE=f32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_INNER_TYPE=f16");
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat fast shader");
+        }
+
+        // src0 type
+        const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+        const char *                    src0_name   = src0_traits->type_name;
+
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("INIT_SRC0_SHMEM_FLOAT");
+                defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    std::string type_upper = src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back("INIT_SRC0_SHMEM_" + type_upper);
+                    defines.push_back("INIT_SRC1_SHMEM_FLOAT");
+                    defines.push_back("U32_DEQUANT_HELPERS");
+                    defines.push_back("SRC0_INNER_TYPE=u32");
+
+                    switch (context.src0->type) {
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ1_M:
+                        case GGML_TYPE_IQ4_NL:
+                        case GGML_TYPE_IQ4_XS:
+                            defines.push_back(type_upper + "_GRID");
+                            break;
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                            defines.push_back(type_upper + "_GRID");
+                            defines.push_back(type_upper + "_TABLES");
+                            break;
+                        default:
+                            break;
+                    }
+
+                    variant += std::string("_") + src0_name;
+                    break;
+                }
+        }
+
+        // VEC/SCALAR controls
+        defines.push_back(key.vectorized ? "VEC" : "SCALAR");
+
+        // mul_mat_id is register-tile only.
+        const uint32_t tile_k =
+            ggml_is_quantized(context.src0->type) ? WEBGPU_MUL_MAT_REG_TILE_K_QUANT : WEBGPU_MUL_MAT_REG_TILE_K_FLOAT;
+
+        // Tiles
+        defines.push_back("TILE_M=" + std::to_string(WEBGPU_MUL_MAT_TILE_M) + "u");
+        defines.push_back("TILE_N=" + std::to_string(WEBGPU_MUL_MAT_TILE_N) + "u");
+        defines.push_back("TILE_K=" + std::to_string(tile_k) + "u");
+
+        defines.push_back("WORKGROUP_SIZE_M=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_M) + "u");
+        defines.push_back("WORKGROUP_SIZE_N=" + std::to_string(WEBGPU_MUL_MAT_WG_SIZE_N) + "u");
+
+        // variant suffix for src1 type
+        variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16");
+        if (key.vectorized) {
+            variant += "_vectorized";
+        }
+
+        auto processed = preprocessor.preprocess(wgsl_mul_mat_id, defines);
+
+        auto decisions       = std::make_shared<ggml_webgpu_mul_mat_shader_decisions>();
+        decisions->tile_k    = tile_k;
+        decisions->tile_m    = WEBGPU_MUL_MAT_TILE_M;
+        decisions->tile_n    = WEBGPU_MUL_MAT_TILE_N;
+        decisions->wg_size_m = WEBGPU_MUL_MAT_WG_SIZE_M;
+        decisions->wg_size_n = WEBGPU_MUL_MAT_WG_SIZE_N;
+        decisions->wg_size   = WEBGPU_MUL_MAT_WG_SIZE_M * WEBGPU_MUL_MAT_WG_SIZE_N;
+
+        webgpu_pipeline pipeline  = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context          = decisions;
+        mul_mat_id_pipelines[key] = pipeline;
+        return mul_mat_id_pipelines[key];
+    }
+
+    webgpu_pipeline get_mul_mat_id_vec_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_mul_mat_id_pipeline_key key = {};
+        key.src0_type                           = context.src0->type;
+        key.src1_type                           = context.src1->type;
+        key.n_experts                           = context.src0->ne[2];
+        key.vectorized = (context.src0->ne[0] % 4 == 0 &&
+                          (context.src0->type == GGML_TYPE_F32 || context.src0->type == GGML_TYPE_F16)) ?
+                             1 :
+                             0;
+
+        auto it = mul_mat_id_vec_pipelines.find(key);
+        if (it != mul_mat_id_vec_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant    = "mul_mat_id_vec";
+        const char *             shader_src = wgsl_mul_mat_id_vec;
+
+        // src1 type
+        switch (context.src1->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC1_INNER_TYPE=f32");
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC1_INNER_TYPE=f16");
+                break;
+            default:
+                GGML_ABORT("Unsupported src1 type for mul_mat fast shader");
+        }
+
+        // src0 type
+        switch (context.src0->type) {
+            case GGML_TYPE_F32:
+                defines.push_back("SRC0_INNER_TYPE=f32");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f32";
+                break;
+            case GGML_TYPE_F16:
+                defines.push_back("SRC0_INNER_TYPE=f16");
+                defines.push_back("MUL_ACC_FLOAT");
+                variant += "_f16";
+                break;
+            default:
+                {
+                    // Quantized types: use helpers but accumulate in f16
+                    const struct ggml_type_traits * src0_traits = ggml_get_type_traits(context.src0->type);
+                    std::string                     src0_name   = src0_traits->type_name;
+                    std::string                     type_upper  = src0_name;
+                    variant += "_" + src0_name;
+                    std::transform(type_upper.begin(), type_upper.end(), type_upper.begin(), ::toupper);
+
+                    defines.push_back("BYTE_HELPERS");
+                    defines.push_back("MUL_ACC_" + type_upper);
+                    defines.push_back("U32_DEQUANT_HELPERS");
+                    defines.push_back("SRC0_INNER_TYPE=u32");
+                    switch (context.src0->type) {
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ1_M:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ4_NL:
+                        case GGML_TYPE_IQ4_XS:
+                            defines.push_back(type_upper + "_GRID");
+                            break;
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ3_XXS:
+                            defines.push_back(type_upper + "_GRID");
+                            defines.push_back(type_upper + "_TABLES");
+                            break;
+                        default:
+                            break;
+                    }
+                    break;
+                }
+        }
+
+        // VEC/SCALAR controls
+        defines.push_back(key.vectorized ? "VEC" : "SCALAR");
+
+        uint32_t wg_size        = WEBGPU_MUL_MAT_VEC_WG_SIZE;
+        uint32_t outputs_per_wg = WEBGPU_MUL_MAT_VEC_FLOAT_OUTPUTS_PER_WG;
+
+        if (key.src0_type == GGML_TYPE_Q1_0) {
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
+        } else if (key.src0_type >= GGML_TYPE_Q2_K) {
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_K_Q_OUTPUTS_PER_WG;
+        } else if (key.src0_type >= GGML_TYPE_Q4_0) {
+            outputs_per_wg = WEBGPU_MUL_MAT_VEC_LEGACY_Q_OUTPUTS_PER_WG;
+        }
+
+        // variant suffix for src1 type
+        variant += std::string("_") + (context.src1->type == GGML_TYPE_F32 ? "f32" : "f16");
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        defines.push_back(std::string("OUTPUTS_PER_WG=") + std::to_string(outputs_per_wg));
+        defines.push_back(context.supports_subgroups ? "USE_SUBGROUP_REDUCTION" : "USE_WORKGROUP_REDUCTION");
+        variant += context.supports_subgroups ? "_sg_reduce" : "_wg_reduce";
+        if (key.vectorized) {
+            variant += "_vectorized";
+        }
+
+        defines.push_back(std::string("N_EXPERTS=") + std::to_string(key.n_experts));
+
+        auto processed = preprocessor.preprocess(shader_src, defines);
+
+        auto decisions            = std::make_shared<ggml_webgpu_mul_mat_vec_shader_decisions>();
+        decisions->wg_size        = wg_size;
+        decisions->outputs_per_wg = outputs_per_wg;
+
+        webgpu_pipeline pipeline      = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context              = decisions;
+        mul_mat_id_vec_pipelines[key] = pipeline;
+        return mul_mat_id_vec_pipelines[key];
+    }
+
     webgpu_pipeline get_unary_pipeline(const ggml_webgpu_shader_lib_context & context) {
         const bool                     is_unary = context.dst->op == GGML_OP_UNARY;
         const int                      op       = is_unary ? (int) ggml_get_unary_op(context.dst) : context.dst->op;
-        ggml_webgpu_unary_pipeline_key key      = {
-                 .type     = context.dst->type,
-                 .op       = op,
-                 .is_unary = is_unary,
-                 .inplace  = context.inplace,
-                 .ttype    = (ggml_tri_type) ggml_get_op_params_i32(context.dst, 0),
-        };
+        ggml_webgpu_unary_pipeline_key key      = {};
+        key.type                                = context.dst->type;
+        key.op                                  = op;
+        key.is_unary                            = is_unary;
+        key.inplace = ggml_webgpu_tensor_equal(context.src0, context.dst) || context.dst->op == GGML_OP_FILL;
+        key.ttype   = (ggml_tri_type) ggml_get_op_params_i32(context.dst, 0);
 
         auto it = unary_pipelines.find(key);
         if (it != unary_pipelines.end()) {
@@ -1665,20 +2372,60 @@ class ggml_webgpu_shader_lib {
         auto processed           = preprocessor.preprocess(wgsl_unary, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
         decisions->wg_size       = context.max_wg_size;
+        decisions->inplace       = key.inplace;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
         unary_pipelines[key]     = pipeline;
         return unary_pipelines[key];
     }
 
+    webgpu_pipeline get_rms_norm_mul_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_rms_norm_mul_pipeline_key key = {};
+        key.inplace                               = ggml_webgpu_tensor_equal(context.src0, context.dst);
+        key.overlap                               = ggml_webgpu_tensor_equal(context.src1, context.dst);
+        key.src_overlap                           = ggml_webgpu_tensor_overlap(context.src0, context.src1);
+
+        auto it = rms_norm_mul_pipelines.find(key);
+        if (it != rms_norm_mul_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              op_name = "RMS_NORM_MUL";
+        std::string              variant = op_name;
+
+        if (key.inplace) {
+            defines.push_back("INPLACE");
+            variant += "_inplace";
+        } else if (key.overlap) {
+            defines.push_back("OVERLAP");
+            variant += "_overlap";
+        } else if (key.src_overlap) {
+            defines.push_back("SRC_OVERLAP");
+            variant += "_src_overlap";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed                  = preprocessor.preprocess(wgsl_rms_norm_mul, defines);
+        auto pipeline_decisions         = std::make_shared<ggml_webgpu_rms_norm_mul_shader_decisions>();
+        pipeline_decisions->wg_size     = context.max_wg_size;
+        pipeline_decisions->inplace     = key.inplace;
+        pipeline_decisions->overlap     = key.overlap;
+        pipeline_decisions->src_overlap = key.src_overlap;
+        webgpu_pipeline pipeline        = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context                = pipeline_decisions;
+        rms_norm_mul_pipelines[key]     = pipeline;
+        return rms_norm_mul_pipelines[key];
+    }
+
     webgpu_pipeline get_binary_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_binary_pipeline_key key = {
-            .type        = context.dst->type,
-            .op          = context.dst->op,
-            .inplace     = context.inplace,
-            .overlap     = context.overlap,
-            .src_overlap = context.src_overlap,
-        };
+        ggml_webgpu_binary_pipeline_key key = {};
+        key.type                            = context.dst->type;
+        key.op                              = context.dst->op;
+        key.inplace                         = ggml_webgpu_tensor_equal(context.src0, context.dst);
+        key.overlap                         = ggml_webgpu_tensor_equal(context.src1, context.dst);
+        key.src_overlap                     = ggml_webgpu_tensor_overlap(context.src0, context.src1);
 
         auto it = binary_pipelines.find(key);
         if (it != binary_pipelines.end()) {
@@ -1717,19 +2464,22 @@ class ggml_webgpu_shader_lib {
 
         defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
 
-        auto processed           = preprocessor.preprocess(wgsl_binary, defines);
-        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
-        decisions->wg_size       = context.max_wg_size;
+        auto processed                  = preprocessor.preprocess(wgsl_binary, defines);
+        auto pipeline_decisions         = std::make_shared<ggml_webgpu_binary_shader_decisions>();
+        pipeline_decisions->wg_size     = context.max_wg_size;
+        pipeline_decisions->inplace     = key.inplace;
+        pipeline_decisions->overlap     = key.overlap;
+        pipeline_decisions->src_overlap = key.src_overlap;
+
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
-        pipeline.context         = decisions;
+        pipeline.context         = pipeline_decisions;
         binary_pipelines[key]    = pipeline;
         return binary_pipelines[key];
     }
 
     webgpu_pipeline get_concat_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_concat_pipeline_key key = {
-            .type = context.dst->type,
-        };
+        ggml_webgpu_concat_pipeline_key key = {};
+        key.type                            = context.dst->type;
 
         auto it = concat_pipelines.find(key);
         if (it != concat_pipelines.end()) {
@@ -1764,9 +2514,8 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_repeat_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_repeat_pipeline_key key = {
-            .type = context.dst->type,
-        };
+        ggml_webgpu_repeat_pipeline_key key = {};
+        key.type                            = context.dst->type;
 
         auto it = repeat_pipelines.find(key);
         if (it != repeat_pipelines.end()) {
@@ -1804,16 +2553,22 @@ class ggml_webgpu_shader_lib {
         return repeat_pipelines[key];
     }
 
-    webgpu_pipeline get_flash_attn_pipeline(const ggml_webgpu_flash_attn_shader_lib_context & context) {
-        auto it = flash_attn_pipelines.find(context.key);
+    webgpu_pipeline get_flash_attn_pipeline(const ggml_webgpu_shader_lib_context & context,
+                                            size_t                                 storage_offset_alignment) {
+        const ggml_webgpu_flash_attn_decisions decisions =
+            ggml_webgpu_flash_attn_get_decisions(context, storage_offset_alignment);
+        GGML_ASSERT(decisions.path != GGML_WEBGPU_FLASH_ATTN_PATH_NONE);
+        ggml_webgpu_flash_attn_pipeline_key key = ggml_webgpu_flash_attn_make_pipeline_key(context, decisions.path);
+        auto                                it  = flash_attn_pipelines.find(key);
         if (it != flash_attn_pipelines.end()) {
             return it->second;
         }
-
         std::vector<std::string> defines;
-        std::string              variant = "flash_attn";
+        std::string              variant = decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC  ? "flash_attn_vec" :
+                                           decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE ? "flash_attn_tile" :
+                                                                                                "flash_attn";
 
-        switch (context.key.kv_type) {
+        switch (key.kv_type) {
             case GGML_TYPE_F32:
                 defines.push_back("KV_F32");
                 break;
@@ -1829,111 +2584,124 @@ class ggml_webgpu_shader_lib {
             default:
                 GGML_ABORT("Unsupported KV type for flash attention shader");
         }
-        variant += std::string("_") + ggml_type_name(context.key.kv_type);
+        variant += std::string("_") + ggml_type_name(key.kv_type);
 
-        if (context.key.has_mask) {
+        if (key.has_mask) {
             defines.push_back("MASK");
-            variant += "_mask";
+            if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+                defines.push_back("BLK");
+                variant += "_mask_blk";
+            } else {
+                variant += "_mask";
+            }
         }
-        if (context.key.has_sinks) {
+        if (key.has_sinks) {
             defines.push_back("SINKS");
             variant += "_sinks";
         }
-        if (context.key.uses_logit_softcap) {
+        if (key.uses_logit_softcap) {
             defines.push_back("LOGIT_SOFTCAP");
             variant += "_lgsc";
         }
-        if (context.key.kv_direct) {
+        if (key.kv_direct) {
             defines.push_back("KV_DIRECT");
             variant += "_kvdirect";
         }
-        if (context.key.has_mask && context.key.use_vec) {
-            defines.push_back("BLK");
-            variant += "_blk";
+        if (key.kv_overlap) {
+            defines.push_back("KV_OVERLAP");
+            variant += "_kv_overlap";
         }
 
-        defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(context.key.head_dim_qk));
-        variant += std::string("_hsqk") + std::to_string(context.key.head_dim_qk);
-
-        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(context.key.head_dim_v));
-        variant += std::string("_hsv") + std::to_string(context.key.head_dim_v);
-
-        defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m));
-        defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
-        defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
-
-        uint32_t q_tile  = context.sg_mat_m;
-        uint32_t kv_tile = std::min(ggml_webgpu_flash_attn_max_kv_tile(context),
-                                    context.sg_mat_n * GGML_WEBGPU_FLASH_ATTN_PREFERRED_KV_SG_TILES);
-        if (context.key.use_vec) {
-            q_tile  = 1;
-            kv_tile = std::max(context.sg_mat_n, std::min(32u, ggml_webgpu_flash_attn_max_kv_tile(context)));
-            kv_tile = (kv_tile / context.sg_mat_n) * context.sg_mat_n;
-            const uint32_t vec_ne = ggml_webgpu_flash_attn_pick_vec_ne(context.key);
-            defines.push_back(std::string("VEC_NE=") + std::to_string(vec_ne) + "u");
-        }
-        if (context.key.kv_direct) {
-            GGML_ASSERT(kv_tile <= GGML_WEBGPU_KV_SEQ_PAD);
-            while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
-                kv_tile -= context.sg_mat_n;
-            }
-        }
+        defines.push_back(std::string("HEAD_DIM_QK=") + std::to_string(key.head_dim_qk));
+        variant += std::string("_hsqk") + std::to_string(key.head_dim_qk);
 
-        defines.push_back(std::string("Q_TILE=") + std::to_string(q_tile));
-        defines.push_back(std::string("KV_TILE=") + std::to_string(kv_tile));
+        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v));
+        variant += std::string("_hsv") + std::to_string(key.head_dim_v);
 
-        uint32_t wg_size = 0;
-        if (context.key.use_vec) {
-            wg_size = std::max(1u, std::min<uint32_t>(32u, context.max_subgroup_size));
+        const char * shader_src = wgsl_flash_attn;
+        if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+            defines.push_back("KV_GRANULARITY=8");
+            defines.push_back(std::string("VEC_NE=") + std::to_string(ggml_webgpu_flash_attn_pick_vec_ne(key)) + "u");
+            shader_src = wgsl_flash_attn_vec_split;
+        } else if (key.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) {
+            shader_src = wgsl_flash_attn_tile;
+            defines.push_back("MAX_SUBGROUP_SIZE=" + std::to_string(context.max_subgroup_size));
+            defines.push_back("KV_STAGE_STRIDE=" + std::to_string(std::max(key.head_dim_qk, key.head_dim_v)));
+            variant += "_tile";
         } else {
-            wg_size = std::max(context.max_subgroup_size, GGML_WEBGPU_FLASH_ATTN_PREFERRED_WG_SIZE);
+            defines.push_back(std::string("SG_MAT_M=") + std::to_string(context.sg_mat_m));
+            defines.push_back(std::string("SG_MAT_N=") + std::to_string(context.sg_mat_n));
+            defines.push_back(std::string("SG_MAT_K=") + std::to_string(context.sg_mat_k));
         }
-        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
 
-        const char *    shader_src = context.key.use_vec ? wgsl_flash_attn_vec_split : wgsl_flash_attn;
+        auto pipeline_decisions        = std::make_shared<ggml_webgpu_flash_attn_decisions>(decisions);
+        pipeline_decisions->kv_overlap = key.kv_overlap;
+        defines.push_back(std::string("Q_TILE=") + std::to_string(decisions.q_tile));
+        defines.push_back(std::string("KV_TILE=") + std::to_string(decisions.kv_tile));
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(decisions.wg_size));
+
         webgpu_pipeline pipeline =
             ggml_webgpu_create_pipeline(device, preprocessor.preprocess(shader_src, defines), variant);
-        auto decisions                    = std::make_shared<ggml_webgpu_flash_attn_shader_decisions>();
-        decisions->q_tile                 = q_tile;
-        decisions->kv_tile                = kv_tile;
-        decisions->wg_size                = wg_size;
-        pipeline.context                  = decisions;
-        flash_attn_pipelines[context.key] = pipeline;
-        return flash_attn_pipelines[context.key];
+        pipeline.context          = pipeline_decisions;
+        flash_attn_pipelines[key] = pipeline;
+        return flash_attn_pipelines[key];
     }
 
-    webgpu_pipeline get_flash_attn_blk_pipeline(const ggml_webgpu_flash_attn_blk_shader_lib_context & context) {
-        auto it = flash_attn_blk_pipelines.find(context.key);
+    webgpu_pipeline get_flash_attn_blk_pipeline(const ggml_webgpu_shader_lib_context & context, uint32_t kv_tile) {
+        ggml_webgpu_flash_attn_blk_pipeline_key key = {};
+        key.kv_tile                                 = kv_tile;
+        auto it                                     = flash_attn_blk_pipelines.find(key);
         if (it != flash_attn_blk_pipelines.end()) {
             return it->second;
         }
 
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_flash_attn_blk_shader(preprocessor, wgsl_flash_attn_vec_blk, context);
-        webgpu_pipeline pipeline              = ggml_webgpu_create_pipeline(device, processed.wgsl, processed.variant);
-        flash_attn_blk_pipelines[context.key] = pipeline;
-        return flash_attn_blk_pipelines[context.key];
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn_vec_blk";
+
+        defines.push_back(std::string("KV_TILE=") + std::to_string(key.kv_tile));
+        variant += std::string("_kvt") + std::to_string(key.kv_tile);
+
+        uint32_t wg_size = 1;
+        while ((wg_size << 1) <= context.max_wg_size) {
+            wg_size <<= 1;
+        }
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(wg_size));
+        variant += std::string("_wg") + std::to_string(wg_size);
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn_vec_blk, defines), variant);
+        flash_attn_blk_pipelines[key] = pipeline;
+        return flash_attn_blk_pipelines[key];
     }
 
-    webgpu_pipeline get_flash_attn_vec_reduce_pipeline(
-        const ggml_webgpu_flash_attn_vec_reduce_shader_lib_context & context) {
-        auto it = flash_attn_vec_reduce_pipelines.find(context.key);
+    webgpu_pipeline get_flash_attn_vec_reduce_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_flash_attn_vec_reduce_pipeline_key key = {};
+        key.head_dim_v                                     = (uint32_t) context.src2->ne[0];
+        key.wg_size                                        = context.max_wg_size;
+        auto it                                            = flash_attn_vec_reduce_pipelines.find(key);
         if (it != flash_attn_vec_reduce_pipelines.end()) {
             return it->second;
         }
 
-        ggml_webgpu_processed_shader processed =
-            ggml_webgpu_preprocess_flash_attn_vec_reduce_shader(preprocessor, wgsl_flash_attn_vec_reduce, context);
-        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed.wgsl, processed.variant);
-        flash_attn_vec_reduce_pipelines[context.key] = pipeline;
-        return flash_attn_vec_reduce_pipelines[context.key];
+        std::vector<std::string> defines;
+        std::string              variant = "flash_attn_vec_reduce";
+
+        defines.push_back(std::string("HEAD_DIM_V=") + std::to_string(key.head_dim_v));
+        variant += std::string("_hsv") + std::to_string(key.head_dim_v);
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+        variant += std::string("_wg") + std::to_string(context.max_wg_size);
+
+        webgpu_pipeline pipeline =
+            ggml_webgpu_create_pipeline(device, preprocessor.preprocess(wgsl_flash_attn_vec_reduce, defines), variant);
+        flash_attn_vec_reduce_pipelines[key] = pipeline;
+        return flash_attn_vec_reduce_pipelines[key];
     }
 
     webgpu_pipeline get_cpy_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_cpy_pipeline_key key = {
-            .src_type = context.src0->type,
-            .dst_type = context.dst->type,
-        };
+        ggml_webgpu_cpy_pipeline_key key = {};
+        key.src_type                     = context.src0->type;
+        key.dst_type                     = context.dst->type;
 
         auto it = cpy_pipelines.find(key);
         if (it != cpy_pipelines.end()) {
@@ -1985,11 +2753,10 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_glu_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_glu_pipeline_key key = {
-            .glu_op = ggml_get_glu_op(context.dst),
-            .type   = context.dst->type,
-            .split  = (context.src1 != nullptr),
-        };
+        ggml_webgpu_glu_pipeline_key key = {};
+        key.glu_op                       = ggml_get_glu_op(context.dst);
+        key.type                         = context.dst->type;
+        key.split                        = (context.src1 != nullptr);
 
         auto it = glu_pipelines.find(key);
         if (it != glu_pipelines.end()) {
@@ -2058,11 +2825,10 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_rope_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_rope_pipeline_key key = {
-            .type    = context.dst->type,
-            .inplace = context.inplace,
-            .has_ff  = (context.src2 != nullptr),
-        };
+        ggml_webgpu_rope_pipeline_key key = {};
+        key.type                          = context.dst->type;
+        key.inplace                       = ggml_webgpu_tensor_equal(context.src0, context.dst);
+        key.has_ff                        = (context.src2 != nullptr);
 
         auto it = rope_pipelines.find(key);
         if (it != rope_pipelines.end()) {
@@ -2100,6 +2866,7 @@ class ggml_webgpu_shader_lib {
         auto processed           = preprocessor.preprocess(wgsl_rope, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
         decisions->wg_size       = context.max_wg_size;
+        decisions->inplace       = key.inplace;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
         rope_pipelines[key]      = pipeline;
@@ -2107,12 +2874,11 @@ class ggml_webgpu_shader_lib {
     }
 
     webgpu_pipeline get_soft_max_pipeline(const ggml_webgpu_shader_lib_context & context) {
-        ggml_webgpu_soft_max_pipeline_key key = {
-            .mask_type = context.src1 ? context.src1->type : GGML_TYPE_F32,
-            .has_mask  = (context.src1 != nullptr),
-            .has_sink  = (context.src2 != nullptr),
-            .inplace   = context.inplace,
-        };
+        ggml_webgpu_soft_max_pipeline_key key = {};
+        key.mask_type                         = context.src1 ? context.src1->type : GGML_TYPE_F32;
+        key.has_mask                          = (context.src1 != nullptr);
+        key.has_sink                          = (context.src2 != nullptr);
+        key.inplace                           = ggml_webgpu_tensor_equal(context.src0, context.dst);
 
         auto it = soft_max_pipelines.find(key);
         if (it != soft_max_pipelines.end()) {
@@ -2153,12 +2919,157 @@ class ggml_webgpu_shader_lib {
         auto processed           = preprocessor.preprocess(wgsl_soft_max, defines);
         auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
         decisions->wg_size       = context.max_wg_size;
+        decisions->inplace       = key.inplace;
         webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
         pipeline.context         = decisions;
         soft_max_pipelines[key]  = pipeline;
         return soft_max_pipelines[key];
     }
 
+    webgpu_pipeline get_conv2d_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_conv2d_pipeline_key key = {};
+        key.weight_type                     = context.src0->type;
+        key.input_type                      = context.src1->type;
+        key.output_type                     = context.dst->type;
+
+        auto it = conv2d_pipelines.find(key);
+        if (it != conv2d_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "conv_2d";
+
+        auto push_type_defines = [&](const char * prefix, ggml_type type) {
+            std::string s_prefix = prefix;
+            if (type == GGML_TYPE_F32) {
+                defines.push_back(s_prefix + "_F32");
+            } else if (type == GGML_TYPE_F16) {
+                defines.push_back(s_prefix + "_F16");
+            } else {
+                GGML_ABORT("Unsupported type for CONV_2D shader");
+            }
+        };
+
+        push_type_defines("WEIGHT", key.weight_type);
+        push_type_defines("INPUT", key.input_type);
+        push_type_defines("OUTPUT", key.output_type);
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_conv2d, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        conv2d_pipelines[key]    = pipeline;
+        return conv2d_pipelines[key];
+    }
+
+    webgpu_pipeline get_im2col_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        ggml_webgpu_im2col_pipeline_key key = {};
+        key.input_type                      = context.src1->type;
+        key.output_type                     = context.dst->type;
+
+        auto it = im2col_pipelines.find(key);
+        if (it != im2col_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "im2col";
+
+        auto push_type_defines = [&](const char * prefix, ggml_type type) {
+            std::string s_prefix = prefix;
+            if (type == GGML_TYPE_F32) {
+                defines.push_back(s_prefix + "_F32");
+            } else if (type == GGML_TYPE_F16) {
+                defines.push_back(s_prefix + "_F16");
+            } else {
+                GGML_ABORT("Unsupported type for IM2COL shader");
+            }
+        };
+
+        push_type_defines("INPUT", key.input_type);
+        push_type_defines("OUTPUT", key.output_type);
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_im2col, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        im2col_pipelines[key]    = pipeline;
+        return im2col_pipelines[key];
+    }
+
+    webgpu_pipeline get_upscale_pipeline(const ggml_webgpu_shader_lib_context & context) {
+        const uint32_t mode_flags = (uint32_t) ggml_get_op_params_i32(context.dst, 0);
+        const uint32_t base_mode  = mode_flags & 0xFFu;
+        const bool     antialias  = (mode_flags & GGML_SCALE_FLAG_ANTIALIAS) != 0u;
+
+        ggml_webgpu_upscale_pipeline_key key = {};
+        key.input_type                       = context.src0->type;
+        key.output_type                      = context.dst->type;
+        key.base_mode                        = base_mode;
+        key.antialias                        = antialias;
+
+        auto it = upscale_pipelines.find(key);
+        if (it != upscale_pipelines.end()) {
+            return it->second;
+        }
+
+        std::vector<std::string> defines;
+        std::string              variant = "upscale";
+
+        if (key.input_type == GGML_TYPE_F16) {
+            defines.push_back("SRC_F16");
+            variant += "_src_f16";
+        } else {
+            variant += "_src_f32";
+        }
+
+        if (key.output_type == GGML_TYPE_F16) {
+            defines.push_back("DST_F16");
+            variant += "_dst_f16";
+        } else {
+            variant += "_dst_f32";
+        }
+
+        switch (base_mode) {
+            case GGML_SCALE_MODE_NEAREST:
+                defines.push_back("NEAREST");
+                variant += "_nearest";
+                break;
+            case GGML_SCALE_MODE_BILINEAR:
+                defines.push_back("BILINEAR");
+                variant += "_bilinear";
+                break;
+            case GGML_SCALE_MODE_BICUBIC:
+                defines.push_back("BICUBIC");
+                variant += "_bicubic";
+                break;
+            default:
+                GGML_ABORT("Unsupported upscale mode");
+        }
+
+        if (antialias) {
+            defines.push_back("ANTIALIAS");
+            variant += "_aa";
+        }
+
+        defines.push_back(std::string("WG_SIZE=") + std::to_string(context.max_wg_size));
+
+        auto processed           = preprocessor.preprocess(wgsl_upscale, defines);
+        auto decisions           = std::make_shared<ggml_webgpu_generic_shader_decisions>();
+        decisions->wg_size       = context.max_wg_size;
+        webgpu_pipeline pipeline = ggml_webgpu_create_pipeline(device, processed, variant);
+        pipeline.context         = decisions;
+        upscale_pipelines[key]   = pipeline;
+        return upscale_pipelines[key];
+    }
+
   private:
     static webgpu_pipeline ggml_webgpu_create_pipeline(wgpu::Device & device,
                                                        std::string    shader_code,
@@ -2178,25 +3089,6 @@ class ggml_webgpu_shader_lib {
         pipeline_desc.layout             = nullptr;  // nullptr means auto layout
         return { device.CreateComputePipeline(&pipeline_desc), label };
     }
-
-    static uint32_t ggml_webgpu_flash_attn_max_kv_tile(const ggml_webgpu_flash_attn_shader_lib_context & context) {
-        const size_t limit_bytes = context.wg_mem_limit_bytes;
-        const size_t q_tile      = context.sg_mat_m;
-        const size_t base_q_bytes =
-            (context.key.head_dim_qk + context.key.head_dim_v) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
-            2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
-        size_t bytes_per_kv = 0;
-        if (!context.key.kv_direct) {
-            bytes_per_kv += std::max(context.key.head_dim_qk, context.key.head_dim_v);
-        }
-        if (context.key.has_mask) {
-            bytes_per_kv += q_tile;
-        }
-        bytes_per_kv += q_tile;
-        bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
-        const uint32_t max_kv_tile = (limit_bytes - base_q_bytes) / bytes_per_kv;
-        return (max_kv_tile / context.sg_mat_n) * context.sg_mat_n;
-    }
 };
 
 #endif  // GGML_WEBGPU_SHADER_LIB_HPP
diff --git a/ggml/src/ggml-webgpu/ggml-webgpu.cpp b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
index 5c567dc0d..12f60a990 100644
--- a/ggml/src/ggml-webgpu/ggml-webgpu.cpp
+++ b/ggml/src/ggml-webgpu/ggml-webgpu.cpp
@@ -8,6 +8,7 @@
 #include "ggml-backend-impl.h"
 #include "ggml-impl.h"
 #include "ggml-webgpu-shader-lib.hpp"
+#include "ggml.h"
 
 #ifdef __EMSCRIPTEN__
 #    include <emscripten/emscripten.h>
@@ -16,7 +17,6 @@
 #include <webgpu/webgpu_cpp.h>
 
 #include <atomic>
-#include <condition_variable>
 #include <cstdint>
 #include <cstring>
 #ifdef GGML_WEBGPU_GPU_PROFILE
@@ -25,7 +25,6 @@
 #if defined(GGML_WEBGPU_DEBUG) || defined(GGML_WEBGPU_CPU_PROFILE) || defined(GGML_WEBGPU_GPU_PROFILE)
 #    include <iostream>
 #endif
-#include <map>
 #include <memory>
 #include <mutex>
 #include <optional>
@@ -43,6 +42,12 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim
     wg_x = CEIL_DIV(total_wg, wg_y);
 }
 
+static inline uint32_t ggml_webgpu_u32_from_f32(float value) {
+    uint32_t bits;
+    memcpy(&bits, &value, sizeof(bits));
+    return bits;
+}
+
 #ifdef GGML_WEBGPU_DEBUG
 #    define WEBGPU_LOG_DEBUG(msg)  std::cout << msg << std::endl
 #    define WEBGPU_DEBUG_BUF_ELEMS 512
@@ -75,19 +80,19 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim
 #endif  // GGML_WEBGPU_CPU_PROFILE
 
 #ifdef GGML_WEBGPU_GPU_PROFILE
-#    define WEBGPU_NUM_TIMESTAMP_QUERY_BUFS       32
-#    define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES 16  // e.g. enough for two timestamps
+#    define WEBGPU_MAX_PROFILE_QUERY_COUNT        4096u
+#    define WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES (WEBGPU_MAX_PROFILE_QUERY_COUNT * sizeof(uint64_t))
 #endif
 
 /* Constants */
 
-#define WEBGPU_COMMAND_SUBMIT_BATCH_SIZE 32u
-#define WEBGPU_NUM_PARAM_SLOTS \
-    (WEBGPU_COMMAND_SUBMIT_BATCH_SIZE + 10)  // a few extra for safety, since some operations may need multiple slots
-#define WEBGPU_WAIT_ANY_TIMEOUT_MS           100
-#define WEBGPU_PARAMS_BUF_SIZE_BYTES         128  // enough for 32 parameters
-#define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES 4
-#define WEBGPU_STORAGE_BUF_BINDING_MULT      4    // a storage buffer binding size must be a multiple of 4
+#define WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE 64u
+#define WEBGPU_NUM_PARAM_SLOT_SAFETY_MARGIN      10u
+#define WEBGPU_RUNTIME_WAIT_TIMEOUT_MS           30000u
+#define WEBGPU_RUNTIME_WAIT_TIMEOUT_NS           (WEBGPU_RUNTIME_WAIT_TIMEOUT_MS * 1e6)
+#define WEBGPU_PARAMS_BUF_SIZE_BYTES             128  // enough for 32 parameters
+#define WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES     4
+#define WEBGPU_STORAGE_BUF_BINDING_MULT          4    // a storage buffer binding size must be a multiple of 4
 
 // For operations which process a row in parallel, this seems like a reasonable
 // default
@@ -103,12 +108,9 @@ static inline void compute_2d_workgroups(uint32_t total_wg, uint32_t max_per_dim
 // their locations.
 static void * const webgpu_ptr_base = (void *) (uintptr_t) 0x1000;  // NOLINT
 
-// Always returns the base offset of a tensor, regardless of views.
-static uint64_t webgpu_tensor_offset(const ggml_tensor * tensor) {
-    if (tensor->view_src) {
-        return (uint8_t *) tensor->view_src->data - (uint8_t *) webgpu_ptr_base;
-    }
-    return (uint8_t *) tensor->data - (uint8_t *) webgpu_ptr_base;
+static size_t ggml_webgpu_tensor_offset(const ggml_tensor * tensor) {
+    const ggml_tensor * base_tensor = tensor->view_src ? tensor->view_src : tensor;
+    return (size_t) ((uintptr_t) base_tensor->data - (uintptr_t) webgpu_ptr_base) + tensor->view_offs;
 }
 
 /* Struct definitions */
@@ -161,80 +163,23 @@ struct webgpu_param_arena {
     ~webgpu_param_arena() { this->cleanup(); }
 };
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-struct webgpu_gpu_profile_bufs {
-    wgpu::Buffer   host_buf;
-    wgpu::Buffer   dev_buf;
-    wgpu::QuerySet query_set;
-};
-
-// Holds a pool of parameter buffers for WebGPU operations
-struct webgpu_gpu_profile_buf_pool {
-    std::vector<webgpu_gpu_profile_bufs> free;
-
-    std::mutex mutex;
-
-    std::condition_variable cv;
-
-    void init(wgpu::Device      device,
-              int               num_bufs,
-              size_t            buf_size,
-              wgpu::BufferUsage dev_buf_usage,
-              wgpu::BufferUsage host_buf_usage) {
-        for (int i = 0; i < num_bufs; i++) {
-            wgpu::Buffer host_buf;
-            wgpu::Buffer dev_buf;
-            ggml_webgpu_create_buffer(device, host_buf, buf_size, host_buf_usage, "ggml_webgpu_host_profile_buf");
-            ggml_webgpu_create_buffer(device, dev_buf, buf_size, dev_buf_usage, "ggml_webgpu_dev_profile_buf");
-            // Create a query set for 2 timestamps
-            wgpu::QuerySetDescriptor ts_query_set_desc = {};
-
-            ts_query_set_desc.type      = wgpu::QueryType::Timestamp;
-            ts_query_set_desc.count     = 2;
-            wgpu::QuerySet ts_query_set = device.CreateQuerySet(&ts_query_set_desc);
-
-            free.push_back({ host_buf, dev_buf, ts_query_set });
-        }
-    }
-
-    webgpu_gpu_profile_bufs alloc_bufs() {
-        std::unique_lock<std::mutex> lock(mutex);
-        cv.wait(lock, [this] { return !free.empty(); });
-        webgpu_gpu_profile_bufs bufs = free.back();
-        free.pop_back();
-        return bufs;
-    }
-
-    void free_bufs(std::vector<webgpu_gpu_profile_bufs> bufs) {
-        std::lock_guard<std::mutex> lock(mutex);
-        free.insert(free.end(), bufs.begin(), bufs.end());
-        cv.notify_all();
-    }
-
-    void cleanup() {
-        std::lock_guard<std::mutex> lock(mutex);
-        for (auto & bufs : free) {
-            bufs.host_buf.Destroy();
-            bufs.dev_buf.Destroy();
-            bufs.query_set.Destroy();
-        }
-        free.clear();
-    }
-
-    ~webgpu_gpu_profile_buf_pool() { this->cleanup(); }
-};
-#endif
-
 struct webgpu_encoded_op {
     uint32_t num_kernels = 0;
 #ifdef GGML_WEBGPU_GPU_PROFILE
-    webgpu_gpu_profile_bufs timestamp_query_bufs;
-    std::string             pipeline_name;
+    std::vector<std::string> pipeline_names;
 #endif
 };
 
+struct webgpu_dispatch_desc {
+    webgpu_pipeline                   pipeline;
+    std::vector<uint32_t>             params;
+    std::vector<wgpu::BindGroupEntry> bind_group_entries;
+    std::pair<uint32_t, uint32_t>     workgroups = { 1, 1 };
+};
+
 struct webgpu_capabilities {
     wgpu::Limits limits;
+    bool         supports_subgroups       = false;
     bool         supports_subgroup_matrix = false;
 
     uint32_t sg_mat_m = 0;
@@ -252,16 +197,19 @@ struct webgpu_global_context_struct {
     wgpu::Adapter  adapter;
     wgpu::Device   device;
     wgpu::Queue    queue;
+    uint32_t       command_submit_batch_size = WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE;
+    uint32_t       max_inflight_batches      = UINT32_MAX;
 
     webgpu_capabilities  capabilities;
     // Shared buffer to move data from device to host
     wgpu::Buffer         get_tensor_staging_buf;
-    // Global mutex for pipeline and staging buffer, will be refactored to exclude pipeline caches.
+    // Global mutex for get_tensor
     std::recursive_mutex mutex;
 
     wgpu::Buffer    memset_params_buf;
     webgpu_pipeline memset_pipeline;
 
+    // TODO: We should rework the CPU profiling time handling to make it more useful. ref: https://github.com/ggml-org/llama.cpp/pull/22050
 #ifdef GGML_WEBGPU_CPU_PROFILE
     // Profiling: labeled CPU time in ms (total)
     std::unordered_map<std::string, double> cpu_time_ms;
@@ -269,13 +217,6 @@ struct webgpu_global_context_struct {
     std::unordered_map<std::string, double> cpu_detail_ms;
 #endif
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    // Profiling: per-shader GPU time in ms
-    std::unordered_map<std::string, double> shader_gpu_time_ms;
-    // Profiling: pool of timestamp query buffers (one per operation)
-    webgpu_gpu_profile_buf_pool             timestamp_query_buf_pool;
-#endif
-
 #ifdef GGML_WEBGPU_DEBUG
     wgpu::Buffer debug_host_buf;
     wgpu::Buffer debug_dev_buf;
@@ -312,11 +253,47 @@ struct webgpu_context_struct {
 
     std::unique_ptr<ggml_webgpu_shader_lib> shader_lib;
 
-    webgpu_param_arena param_arena;
-    wgpu::Buffer       set_rows_dev_error_buf;
-    wgpu::Buffer       set_rows_host_error_buf;
+    webgpu_param_arena       param_arena;
+    wgpu::Buffer             set_rows_dev_error_buf;
+    wgpu::Buffer             set_rows_host_error_buf;
+    wgpu::CommandEncoder     active_command_encoder;
+    wgpu::ComputePassEncoder active_compute_pass;
 
     size_t memset_bytes_per_thread;
+
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    // Profiling: per-shader GPU time in ms
+    std::unordered_map<std::string, double> shader_gpu_time_ms;
+    wgpu::Buffer                            profile_timestamp_dev_buf;
+    wgpu::Buffer                            profile_timestamp_host_buf;
+    wgpu::QuerySet                          profile_timestamp_query_set;
+    uint32_t                                profile_timestamp_query_count = 0;
+#endif
+
+    ~webgpu_context_struct() {
+#ifdef GGML_WEBGPU_GPU_PROFILE
+        if (this->profile_timestamp_host_buf) {
+            this->profile_timestamp_host_buf.Destroy();
+            this->profile_timestamp_host_buf = nullptr;
+        }
+        if (this->profile_timestamp_dev_buf) {
+            this->profile_timestamp_dev_buf.Destroy();
+            this->profile_timestamp_dev_buf = nullptr;
+        }
+        if (this->profile_timestamp_query_set) {
+            this->profile_timestamp_query_set.Destroy();
+            this->profile_timestamp_query_set = nullptr;
+        }
+#endif
+        if (this->set_rows_host_error_buf) {
+            this->set_rows_host_error_buf.Destroy();
+            this->set_rows_host_error_buf = nullptr;
+        }
+        if (this->set_rows_dev_error_buf) {
+            this->set_rows_dev_error_buf.Destroy();
+            this->set_rows_dev_error_buf = nullptr;
+        }
+    }
 };
 
 typedef std::shared_ptr<webgpu_context_struct> webgpu_context;
@@ -395,38 +372,119 @@ static void ggml_webgpu_create_buffer(wgpu::Device &    device,
     buffer = device.CreateBuffer(&buffer_desc);
 }
 
+static wgpu::Buffer ggml_webgpu_tensor_buf(const ggml_tensor * tensor) {
+    ggml_backend_webgpu_buffer_context * ctx = (ggml_backend_webgpu_buffer_context *) tensor->buffer->context;
+    return ctx->buffer;
+}
+
+static size_t ggml_webgpu_tensor_misalignment(webgpu_context & ctx, const ggml_tensor * t) {
+    size_t offset = ggml_webgpu_tensor_offset(t);
+    return offset & (ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
+}
+
+static size_t ggml_webgpu_tensor_align_offset(webgpu_context & ctx, const ggml_tensor * t) {
+    size_t offset = ggml_webgpu_tensor_offset(t);
+    return offset & ~(ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
+}
+
+static size_t ggml_webgpu_tensor_binding_size(webgpu_context & ctx, ggml_tensor * t) {
+    return ROUNDUP_POW2(ggml_nbytes(t) + ggml_webgpu_tensor_misalignment(ctx, t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+}
+
+struct ggml_webgpu_merged_binding_range {
+    size_t offset;
+    size_t size;
+};
+
+static ggml_webgpu_merged_binding_range ggml_webgpu_tensor_merged_binding_range(
+    webgpu_context &                     ctx,
+    std::initializer_list<ggml_tensor *> tensors) {
+    size_t merged_offset = SIZE_MAX;
+    size_t merged_end    = 0;
+
+    for (ggml_tensor * tensor : tensors) {
+        const size_t bind_offset = ggml_webgpu_tensor_align_offset(ctx, tensor);
+        const size_t bind_end    = bind_offset + ggml_webgpu_tensor_binding_size(ctx, tensor);
+
+        merged_offset = std::min(merged_offset, bind_offset);
+        merged_end    = std::max(merged_end, bind_end);
+    }
+
+    return { merged_offset, merged_end - merged_offset };
+}
+
+static uint32_t ggml_webgpu_tensor_merged_element_offset(const ggml_tensor *                      tensor,
+                                                         const ggml_webgpu_merged_binding_range & merged_range) {
+    return (uint32_t) ((ggml_webgpu_tensor_offset(tensor) - merged_range.offset) / ggml_type_size(tensor->type));
+}
+
+static wgpu::BindGroupEntry ggml_webgpu_make_bind_group_entry(uint32_t     binding,
+                                                              wgpu::Buffer buffer,
+                                                              uint64_t     offset,
+                                                              uint64_t     size) {
+    wgpu::BindGroupEntry entry = {};
+    entry.binding              = binding;
+    entry.buffer               = std::move(buffer);
+    entry.offset               = offset;
+    entry.size                 = size;
+    return entry;
+}
+
+static wgpu::BindGroupEntry ggml_webgpu_make_tensor_bind_group_entry(webgpu_context & ctx,
+                                                                     uint32_t         binding,
+                                                                     ggml_tensor *    tensor) {
+    return ggml_webgpu_make_bind_group_entry(binding, ggml_webgpu_tensor_buf(tensor),
+                                             ggml_webgpu_tensor_align_offset(ctx, tensor),
+                                             ggml_webgpu_tensor_binding_size(ctx, tensor));
+}
+
 /** End WebGPU object initializations */
 
 /** WebGPU Actions */
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-static void ggml_backend_webgpu_wait_profile_futures(webgpu_global_context &             ctx,
-                                                     std::vector<wgpu::FutureWaitInfo> & futures) {
-    if (futures.empty()) {
-        return;
+template <typename T>
+static void ggml_backend_webgpu_check_wait_status(wgpu::WaitStatus wait_status,
+                                                  T                callback_status,
+                                                  T                success_status,
+                                                  const char *     wait_name,
+                                                  const char *     failure_name,
+                                                  const char *     callback_message) {
+    if (wait_status == wgpu::WaitStatus::TimedOut) {
+        GGML_ABORT("ggml_webgpu: %s timed out after %u ms\n", wait_name, WEBGPU_RUNTIME_WAIT_TIMEOUT_MS);
+    }
+    if (wait_status == wgpu::WaitStatus::Error) {
+        GGML_ABORT("ggml_webgpu: %s failed\n", wait_name);
     }
+    if (callback_status != success_status) {
+        GGML_ABORT("ggml_webgpu: %s failed with status %d: %s\n", failure_name, static_cast<int>(callback_status),
+                   callback_message);
+    }
+}
 
-    constexpr size_t max_futures_per_wait = 64;
+// TODO: these next two functions may want tuning across different platforms and workloads,
+static uint32_t ggml_backend_webgpu_get_max_inflight_batches() {
+    return UINT32_MAX;
+}
 
-    while (!futures.empty()) {
-        ctx->instance.WaitAny(std::min(max_futures_per_wait, futures.size()), futures.data(), UINT64_MAX);
-        futures.erase(std::remove_if(futures.begin(), futures.end(),
-                                     [](const wgpu::FutureWaitInfo & info) { return info.completed; }),
-                      futures.end());
-    }
+static uint32_t ggml_backend_webgpu_get_command_submit_batch_size() {
+    return WEBGPU_DEFAULT_COMMAND_SUBMIT_BATCH_SIZE;
 }
-#endif
 
 static void ggml_backend_webgpu_wait_queue(webgpu_global_context & ctx) {
-    ctx->instance.WaitAny(
-        ctx->queue.OnSubmittedWorkDone(wgpu::CallbackMode::AllowSpontaneous,
-                                       [](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
-                                           if (status != wgpu::QueueWorkDoneStatus::Success) {
-                                               GGML_LOG_ERROR("ggml_webgpu: Failed to submit commands: %s\n",
-                                                              std::string(message).c_str());
-                                           }
-                                       }),
-        UINT64_MAX);
+    wgpu::QueueWorkDoneStatus callback_status = wgpu::QueueWorkDoneStatus::Error;
+    std::string               callback_message;
+
+    const wgpu::WaitStatus wait_status = ctx->instance.WaitAny(
+        ctx->queue.OnSubmittedWorkDone(
+            wgpu::CallbackMode::AllowSpontaneous,
+            [&callback_status, &callback_message](wgpu::QueueWorkDoneStatus status, wgpu::StringView message) {
+                callback_status  = status;
+                callback_message = std::string(message);
+            }),
+        WEBGPU_RUNTIME_WAIT_TIMEOUT_NS);
+
+    ggml_backend_webgpu_check_wait_status(wait_status, callback_status, wgpu::QueueWorkDoneStatus::Success,
+                                          "Queue wait", "Queue work", callback_message.c_str());
 }
 
 static void ggml_backend_webgpu_map_buffer(webgpu_global_context & ctx,
@@ -434,14 +492,31 @@ static void ggml_backend_webgpu_map_buffer(webgpu_global_context & ctx,
                                            wgpu::MapMode           mode,
                                            size_t                  offset,
                                            size_t                  size) {
-    ctx->instance.WaitAny(buffer.MapAsync(mode, offset, size, wgpu::CallbackMode::AllowSpontaneous,
-                                          [](wgpu::MapAsyncStatus status, wgpu::StringView message) {
-                                              if (status != wgpu::MapAsyncStatus::Success) {
-                                                  GGML_LOG_ERROR("ggml_webgpu: Failed to map buffer: %s\n",
-                                                                 message.data);
-                                              }
-                                          }),
-                          UINT64_MAX);
+    wgpu::MapAsyncStatus callback_status = wgpu::MapAsyncStatus::Error;
+    std::string          callback_message;
+
+    const wgpu::WaitStatus wait_status = ctx->instance.WaitAny(
+        buffer.MapAsync(mode, offset, size, wgpu::CallbackMode::AllowSpontaneous,
+                        [&callback_status, &callback_message](wgpu::MapAsyncStatus status, wgpu::StringView message) {
+                            callback_status  = status;
+                            callback_message = std::string(message);
+                        }),
+        WEBGPU_RUNTIME_WAIT_TIMEOUT_NS);
+
+    ggml_backend_webgpu_check_wait_status(wait_status, callback_status, wgpu::MapAsyncStatus::Success,
+                                          "Buffer map wait", "Buffer map", callback_message.c_str());
+}
+
+static void ggml_backend_webgpu_submit_commands(webgpu_context &          ctx,
+                                                const wgpu::CommandBuffer commands,
+                                                uint32_t &                num_inflight_batches) {
+    if (num_inflight_batches >= ctx->global_ctx->max_inflight_batches) {
+        ggml_backend_webgpu_wait_queue(ctx->global_ctx);
+        num_inflight_batches = 0;
+    }
+
+    ctx->global_ctx->queue.Submit(1, &commands);
+    num_inflight_batches++;
 }
 
 #ifdef GGML_WEBGPU_DEBUG
@@ -460,118 +535,79 @@ static void ggml_backend_webgpu_debug(webgpu_global_context & ctx) {
 }
 #endif
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-static void ggml_backend_webgpu_collect_profile_futures(webgpu_global_context &             ctx,
-                                                        const std::vector<webgpu_command> & commands,
-                                                        std::vector<wgpu::FutureWaitInfo> & futures) {
-    for (const auto & command : commands) {
-        auto label   = command.pipeline_name;
-        auto ts_bufs = command.timestamp_query_bufs;
-
-        wgpu::Future f = ts_bufs.host_buf.MapAsync(
-            wgpu::MapMode::Read, 0, ts_bufs.host_buf.GetSize(), wgpu::CallbackMode::AllowSpontaneous,
-            [ctx, ts_bufs, label](wgpu::MapAsyncStatus status, wgpu::StringView message) {
-                if (status != wgpu::MapAsyncStatus::Success) {
-                    GGML_LOG_ERROR("ggml_webgpu: Failed to map timestamp buffer: %s\n", std::string(message).c_str());
-                } else {
-                    const uint64_t * ts_data    = (const uint64_t *) ts_bufs.host_buf.GetConstMappedRange();
-                    // WebGPU timestamps are in ns; convert to ms
-                    double           elapsed_ms = double(ts_data[1] - ts_data[0]) * 1e-6;
-                    ctx->shader_gpu_time_ms[label] += elapsed_ms;
-                }
-                // We can't unmap in here due to WebGPU reentrancy limitations.
-                ctx->timestamp_query_buf_pool.free_bufs({ ts_bufs });
-            });
-        futures.push_back({ f });
-    }
-}
-#endif
-
-static webgpu_encoded_op ggml_backend_webgpu_build_multi(
-    webgpu_global_context &                                ctx,
-    webgpu_param_arena &                                   param_arena,
-    wgpu::CommandEncoder &                                 encoder,
-    const std::vector<webgpu_pipeline> &                   pipelines,
-    const std::vector<std::vector<uint32_t>> &             params_list,
-    const std::vector<std::vector<wgpu::BindGroupEntry>> & bind_group_entries_list,
-    const std::vector<std::pair<uint32_t, uint32_t>> &     workgroups_list) {
-    GGML_ASSERT(pipelines.size() == params_list.size());
-    GGML_ASSERT(pipelines.size() == bind_group_entries_list.size());
-    GGML_ASSERT(pipelines.size() == workgroups_list.size());
-
+static webgpu_encoded_op ggml_backend_webgpu_build_multi(webgpu_context &                          ctx,
+                                                         const std::vector<webgpu_dispatch_desc> & dispatches) {
     webgpu_encoded_op            result = {};
     std::vector<wgpu::BindGroup> bind_groups;
     std::vector<size_t>          param_offsets;
-    result.num_kernels = pipelines.size();
+    result.num_kernels = dispatches.size();
 
-    for (size_t i = 0; i < pipelines.size(); i++) {
-        const size_t param_size   = params_list[i].size() * sizeof(uint32_t);
-        const size_t param_offset = param_arena.alloc_slot(param_size);
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        const webgpu_dispatch_desc & dispatch     = dispatches[i];
+        const size_t                 param_size   = dispatch.params.size() * sizeof(uint32_t);
+        const size_t                 param_offset = ctx->param_arena.alloc_slot(param_size);
 
-        std::vector<wgpu::BindGroupEntry> entries            = bind_group_entries_list[i];
+        std::vector<wgpu::BindGroupEntry> entries            = dispatch.bind_group_entries;
         uint32_t                          params_binding_num = entries.size();
-        entries.push_back({ .binding = params_binding_num,
-                            .buffer  = param_arena.buffer,
-                            .offset  = param_offset,
-                            .size    = param_arena.slot_size });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(params_binding_num, ctx->param_arena.buffer, param_offset,
+                                                            ctx->param_arena.slot_size));
 
         wgpu::BindGroupDescriptor bind_group_desc;
-        bind_group_desc.layout     = pipelines[i].pipeline.GetBindGroupLayout(0);
+        bind_group_desc.layout     = dispatch.pipeline.pipeline.GetBindGroupLayout(0);
         bind_group_desc.entryCount = entries.size();
         bind_group_desc.entries    = entries.data();
-        bind_group_desc.label      = pipelines[i].name.c_str();
-        bind_groups.push_back(ctx->device.CreateBindGroup(&bind_group_desc));
+        bind_group_desc.label      = dispatch.pipeline.name.c_str();
+        bind_groups.push_back(ctx->global_ctx->device.CreateBindGroup(&bind_group_desc));
         param_offsets.push_back(param_offset);
     }
 
     for (size_t i = 0; i < param_offsets.size(); i++) {
-        ctx->queue.WriteBuffer(param_arena.buffer, param_offsets[i], params_list[i].data(),
-                               params_list[i].size() * sizeof(uint32_t));
+        ctx->global_ctx->queue.WriteBuffer(ctx->param_arena.buffer, param_offsets[i], dispatches[i].params.data(),
+                                           dispatches[i].params.size() * sizeof(uint32_t));
     }
+
 #ifdef GGML_WEBGPU_GPU_PROFILE
-    webgpu_gpu_profile_bufs ts_bufs = ctx->timestamp_query_buf_pool.alloc_bufs();
-    if (ts_bufs.host_buf.GetMapState() == wgpu::BufferMapState::Mapped) {
-        ts_bufs.host_buf.Unmap();
-    }
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        GGML_ASSERT(ctx->profile_timestamp_query_count + 2 <= WEBGPU_MAX_PROFILE_QUERY_COUNT);
+        const uint32_t query_begin = ctx->profile_timestamp_query_count++;
+        const uint32_t query_end   = ctx->profile_timestamp_query_count++;
 
-    wgpu::PassTimestampWrites   ts_writes = { .querySet                  = ts_bufs.query_set,
-                                              .beginningOfPassWriteIndex = 0,
-                                              .endOfPassWriteIndex       = 1 };
-    wgpu::ComputePassDescriptor pass_desc = { .timestampWrites = &ts_writes };
-    wgpu::ComputePassEncoder    pass      = encoder.BeginComputePass(&pass_desc);
-#else
-    wgpu::ComputePassEncoder pass = encoder.BeginComputePass();
-#endif
-    for (size_t i = 0; i < pipelines.size(); i++) {
-        pass.SetPipeline(pipelines[i].pipeline);
+        wgpu::PassTimestampWrites ts_writes   = {};
+        ts_writes.querySet                    = ctx->profile_timestamp_query_set;
+        ts_writes.beginningOfPassWriteIndex   = query_begin;
+        ts_writes.endOfPassWriteIndex         = query_end;
+        wgpu::ComputePassDescriptor pass_desc = {};
+        pass_desc.timestampWrites             = &ts_writes;
+
+        wgpu::ComputePassEncoder pass = ctx->active_command_encoder.BeginComputePass(&pass_desc);
+
+        pass.SetPipeline(dispatches[i].pipeline.pipeline);
         pass.SetBindGroup(0, bind_groups[i]);
-        pass.DispatchWorkgroups(workgroups_list[i].first, workgroups_list[i].second, 1);
+        pass.DispatchWorkgroups(dispatches[i].workgroups.first, dispatches[i].workgroups.second, 1);
+        pass.End();
+        result.pipeline_names.push_back(dispatches[i].pipeline.name);
+    }
+#else
+    for (size_t i = 0; i < dispatches.size(); i++) {
+        ctx->active_compute_pass.SetPipeline(dispatches[i].pipeline.pipeline);
+        ctx->active_compute_pass.SetBindGroup(0, bind_groups[i]);
+        ctx->active_compute_pass.DispatchWorkgroups(dispatches[i].workgroups.first, dispatches[i].workgroups.second, 1);
     }
-    pass.End();
-
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    encoder.ResolveQuerySet(ts_bufs.query_set, 0, 2, ts_bufs.dev_buf, 0);
-    encoder.CopyBufferToBuffer(ts_bufs.dev_buf, 0, ts_bufs.host_buf, 0, ts_bufs.host_buf.GetSize());
-    result.timestamp_query_bufs = ts_bufs;
-    result.pipeline_name        = pipelines.front().name;
 #endif
+
     return result;
 }
 
-static webgpu_encoded_op ggml_backend_webgpu_build(webgpu_global_context &           ctx,
-                                                   webgpu_param_arena &              param_arena,
-                                                   wgpu::CommandEncoder &            encoder,
+static webgpu_encoded_op ggml_backend_webgpu_build(webgpu_context &                  ctx,
                                                    webgpu_pipeline &                 pipeline,
                                                    std::vector<uint32_t>             params,
                                                    std::vector<wgpu::BindGroupEntry> bind_group_entries,
                                                    uint32_t                          wg_x,
                                                    uint32_t                          wg_y = 1) {
-    return ggml_backend_webgpu_build_multi(ctx, param_arena, encoder,
-                                           {
-                                               pipeline
-    },
-                                           { std::move(params) }, { std::move(bind_group_entries) },
-                                           { { wg_x, wg_y } });
+    return ggml_backend_webgpu_build_multi(
+        ctx, {
+                 { pipeline, std::move(params), std::move(bind_group_entries), { wg_x, wg_y } },
+    });
 }
 
 static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
@@ -579,17 +615,19 @@ static void ggml_backend_webgpu_buffer_memset(webgpu_global_context & ctx,
                                               uint32_t                value,
                                               size_t                  offset,
                                               size_t                  size) {
-    std::vector<uint32_t>             params  = { (uint32_t) offset, (uint32_t) size, value };
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0, .buffer = buf, .offset = 0, .size = buf.GetSize() }
-    };
-    size_t   bytes_per_wg = WEBGPU_MAX_WG_SIZE * ctx->capabilities.memset_bytes_per_thread;
-    uint32_t wg_x         = CEIL_DIV(size + 3, bytes_per_wg);
+    std::vector<uint32_t>             params       = { (uint32_t) offset, (uint32_t) size, value };
+    std::vector<wgpu::BindGroupEntry> entries      = { ggml_webgpu_make_bind_group_entry(0, buf, 0, buf.GetSize()) };
+    size_t                            bytes_per_wg = WEBGPU_MAX_WG_SIZE * ctx->capabilities.memset_bytes_per_thread;
+    uint32_t                          wg_x         = CEIL_DIV(size + 3, bytes_per_wg);
 
     ctx->queue.WriteBuffer(ctx->memset_params_buf, 0, params.data(), params.size() * sizeof(uint32_t));
 
-    entries.push_back(
-        { .binding = 1, .buffer = ctx->memset_params_buf, .offset = 0, .size = WEBGPU_PARAMS_BUF_SIZE_BYTES });
+    wgpu::BindGroupEntry params_entry = {};
+    params_entry.binding              = 1;
+    params_entry.buffer               = ctx->memset_params_buf;
+    params_entry.offset               = 0;
+    params_entry.size                 = WEBGPU_PARAMS_BUF_SIZE_BYTES;
+    entries.push_back(params_entry);
 
     wgpu::BindGroupDescriptor bind_group_desc;
     bind_group_desc.layout     = ctx->memset_pipeline.pipeline.GetBindGroupLayout(0);
@@ -647,12 +685,12 @@ static void ggml_backend_webgpu_free(ggml_backend_t backend) {
 #ifdef GGML_WEBGPU_GPU_PROFILE
     std::cout << "\n[ggml_webgpu gpu profiling summary]\n";
     double total_gpu = 0.0;
-    for (const auto & kv : ctx->webgpu_ctx->global_ctx->shader_gpu_time_ms) {
+    for (const auto & kv : ctx->webgpu_ctx->shader_gpu_time_ms) {
         total_gpu += kv.second;
     }
     std::cout << "ggml_webgpu: total gpu time (all shaders): " << total_gpu << " ms\n";
     std::cout << "\nggml_webgpu: gpu breakdown:\n";
-    for (const auto & kv : ctx->webgpu_ctx->global_ctx->shader_gpu_time_ms) {
+    for (const auto & kv : ctx->webgpu_ctx->shader_gpu_time_ms) {
         double pct = (total_gpu > 0.0) ? (kv.second / total_gpu * 100.0) : 0.0;
         std::cout << "ggml_webgpu:  " << kv.first << ": " << kv.second << " ms (" << std::fixed << std::setprecision(2)
                   << pct << "%)\n";
@@ -667,68 +705,11 @@ static void ggml_backend_webgpu_free(ggml_backend_t backend) {
     delete backend;
 }
 
-static size_t ggml_webgpu_tensor_offset(const ggml_tensor * tensor) {
-    return webgpu_tensor_offset(tensor) + tensor->view_offs;
-}
-
-static wgpu::Buffer ggml_webgpu_tensor_buf(const ggml_tensor * tensor) {
-    ggml_backend_webgpu_buffer_context * ctx = (ggml_backend_webgpu_buffer_context *) tensor->buffer->context;
-    return ctx->buffer;
-}
-
-static size_t ggml_webgpu_tensor_misalignment(webgpu_context & ctx, const ggml_tensor * t) {
-    size_t offset = ggml_webgpu_tensor_offset(t);
-    return offset & (ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
-}
-
-static size_t ggml_webgpu_tensor_align_offset(webgpu_context & ctx, const ggml_tensor * t) {
-    size_t offset = ggml_webgpu_tensor_offset(t);
-    return offset & ~(ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment - 1);
-}
-
-static size_t ggml_webgpu_tensor_binding_size(webgpu_context & ctx, ggml_tensor * t) {
-    return ROUNDUP_POW2(ggml_nbytes(t) + ggml_webgpu_tensor_misalignment(ctx, t), WEBGPU_STORAGE_BUF_BINDING_MULT);
-}
-
-// Used to determine if two tensors are the same for in-place operations
-static bool ggml_webgpu_tensor_equal(ggml_tensor * a, ggml_tensor * b) {
-    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
-           (ggml_webgpu_tensor_offset(a) == ggml_webgpu_tensor_offset(b));
-}
-
-// Used to determine if two tensors share the same buffer and their byte ranges overlap,
-static bool ggml_webgpu_tensor_overlap(ggml_tensor * a, ggml_tensor * b) {
-    return (ggml_webgpu_tensor_buf(a).Get() == ggml_webgpu_tensor_buf(b).Get()) &&
-           ggml_webgpu_tensor_offset(a) < (ggml_webgpu_tensor_offset(b) + ggml_nbytes(b)) &&
-           ggml_webgpu_tensor_offset(b) < (ggml_webgpu_tensor_offset(a) + ggml_nbytes(a));
-}
-
-struct binary_overlap_flags {
-    bool inplace;  // src0 == dst
-    bool overlap;  // src1 == dst
-    bool src_overlap;
-};
-
-static binary_overlap_flags ggml_webgpu_detect_binary_overlap(ggml_tensor * src0,
-                                                              ggml_tensor * src1,
-                                                              ggml_tensor * dst) {
-    binary_overlap_flags flags = {};
-    flags.inplace              = ggml_webgpu_tensor_equal(src0, dst);
-    flags.overlap              = ggml_webgpu_tensor_overlap(src1, dst);
-    flags.src_overlap          = ggml_webgpu_tensor_overlap(src0, src1);
-
-    return flags;
-}
-
-static webgpu_encoded_op ggml_webgpu_cpy(webgpu_context &       ctx,
-                                         wgpu::CommandEncoder & encoder,
-                                         ggml_tensor *          src,
-                                         ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+static webgpu_encoded_op ggml_webgpu_cpy(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_cpy_pipeline(shader_lib_ctx);
 
@@ -750,38 +731,28 @@ static webgpu_encoded_op ggml_webgpu_cpy(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
     };
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
-}
-
-static webgpu_encoded_op ggml_webgpu_set(webgpu_context &       ctx,
-                                         wgpu::CommandEncoder & encoder,
-                                         ggml_tensor *          src0,
-                                         ggml_tensor *          src1,
-                                         ggml_tensor *          dst) {
-    const bool inplace = ggml_webgpu_tensor_equal(src0, dst);
-
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_set(webgpu_context & ctx,
+                                         ggml_tensor *    src0,
+                                         ggml_tensor *    src1,
+                                         ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_set_pipeline(shader_lib_ctx);
 
-    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    auto *     decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    const bool inplace   = decisions->inplace;
 
     const uint32_t ne            = inplace ? (uint32_t) ggml_nelements(src1) : (uint32_t) ggml_nelements(dst);
     const uint32_t dst_type_size = (uint32_t) ggml_type_size(dst->type);
@@ -811,32 +782,21 @@ static webgpu_encoded_op ggml_webgpu_set(webgpu_context &       ctx,
     std::vector<wgpu::BindGroupEntry> entries;
     uint32_t                          binding_index = 0;
     if (!inplace) {
-        entries.push_back({ .binding = 0,
-                            .buffer  = ggml_webgpu_tensor_buf(src0),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src0) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0));
         binding_index++;
     }
-    entries.push_back({ .binding = binding_index,
-                        .buffer  = ggml_webgpu_tensor_buf(src1),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, src1) });
-    entries.push_back({ .binding = binding_index + 1,
-                        .buffer  = ggml_webgpu_tensor_buf(dst),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index, src1));
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index + 1, dst));
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_pad(webgpu_context &       ctx,
-                                         wgpu::CommandEncoder & encoder,
-                                         ggml_tensor *          src,
-                                         ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+static webgpu_encoded_op ggml_webgpu_pad(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_pad_pipeline(shader_lib_ctx);
 
@@ -874,32 +834,24 @@ static webgpu_encoded_op ggml_webgpu_pad(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
     };
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
-}
-
-static webgpu_encoded_op ggml_webgpu_solve_tri(webgpu_context &       ctx,
-                                               wgpu::CommandEncoder & encoder,
-                                               ggml_tensor *          src0,
-                                               ggml_tensor *          src1,
-                                               ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0               = src0,
-        .src1               = src1,
-        .dst                = dst,
-        .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-    };
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_solve_tri(webgpu_context & ctx,
+                                               ggml_tensor *    src0,
+                                               ggml_tensor *    src1,
+                                               ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_solve_tri_pipeline(shader_lib_ctx);
 
@@ -931,37 +883,190 @@ static webgpu_encoded_op ggml_webgpu_solve_tri(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     const uint32_t wg_x = CEIL_DIV((uint32_t) src1->ne[0], decisions->wg_size);
     const uint32_t wg_y = (uint32_t) (dst->ne[2] * dst->ne[3]);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x, wg_y);
-}
-
-static webgpu_encoded_op ggml_webgpu_ssm_conv(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src0,
-                                              ggml_tensor *          src1,
-                                              ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_conv_2d(webgpu_context & ctx,
+                                             ggml_tensor *    src0,
+                                             ggml_tensor *    src1,
+                                             ggml_tensor *    dst) {
+    const int32_t s0 = ggml_get_op_params_i32(dst, 0);
+    const int32_t s1 = ggml_get_op_params_i32(dst, 1);
+    const int32_t p0 = ggml_get_op_params_i32(dst, 2);
+    const int32_t p1 = ggml_get_op_params_i32(dst, 3);
+    const int32_t d0 = ggml_get_op_params_i32(dst, 4);
+    const int32_t d1 = ggml_get_op_params_i32(dst, 5);
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+        (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+
+        (uint32_t) (src1->nb[0] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+
+        (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
+
+        (uint32_t) src0->ne[0],
+        (uint32_t) src0->ne[1],
+        (uint32_t) src0->ne[2],
+
+        (uint32_t) src1->ne[0],
+        (uint32_t) src1->ne[1],
+
+        (uint32_t) dst->ne[0],
+        (uint32_t) dst->ne[1],
+        (uint32_t) dst->ne[2],
+        (uint32_t) dst->ne[3],
+
+        (uint32_t) s0,
+        (uint32_t) s1,
+        (uint32_t) p0,
+        (uint32_t) p1,
+        (uint32_t) d0,
+        (uint32_t) d1,
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
+    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_conv2d_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
+    uint32_t total_wg = CEIL_DIV((uint32_t) ggml_nelements(dst), decisions->wg_size);
+    uint32_t wg_x     = std::min(ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension, total_wg);
+    uint32_t wg_y     = CEIL_DIV(total_wg, wg_x);
+
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_im2col(webgpu_context & ctx,
+                                            ggml_tensor *    src0,
+                                            ggml_tensor *    src1,
+                                            ggml_tensor *    dst) {
+    const int32_t s0    = ggml_get_op_params_i32(dst, 0);
+    const int32_t s1    = ggml_get_op_params_i32(dst, 1);
+    const int32_t p0    = ggml_get_op_params_i32(dst, 2);
+    const int32_t p1    = ggml_get_op_params_i32(dst, 3);
+    const int32_t d0    = ggml_get_op_params_i32(dst, 4);
+    const int32_t d1    = ggml_get_op_params_i32(dst, 5);
+    const bool    is_2D = ggml_get_op_params_i32(dst, 6) == 1;
+
+    const uint32_t KW = src0->ne[0];
+    const uint32_t KH = is_2D ? src0->ne[1] : 1;
+    const uint32_t IC = is_2D ? src0->ne[2] : src0->ne[1];
+
+    const uint32_t IW = src1->ne[0];
+    const uint32_t IH = is_2D ? src1->ne[1] : 1;
+    const uint32_t N  = is_2D ? src1->ne[3] : src1->ne[2];
+
+    const uint32_t OW = dst->ne[1];
+    const uint32_t OH = is_2D ? dst->ne[2] : 1;
+
+    const uint32_t si0 = (uint32_t) (src1->nb[0] / ggml_type_size(src1->type));
+    const uint32_t si1 = is_2D ? (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)) : 0;
+    const uint32_t si2 = is_2D ? (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)) :
+                                 (uint32_t) (src1->nb[1] / ggml_type_size(src1->type));
+    const uint32_t si3 = is_2D ? (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)) :
+                                 (uint32_t) (src1->nb[2] / ggml_type_size(src1->type));
+
+    const uint32_t so0 = (uint32_t) (dst->nb[0] / ggml_type_size(dst->type));
+    const uint32_t so1 = (uint32_t) (dst->nb[1] / ggml_type_size(dst->type));
+    const uint32_t so2 = is_2D ? (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)) : 0;
+    const uint32_t so3 = is_2D ? (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)) :
+                                 (uint32_t) (dst->nb[2] / ggml_type_size(dst->type));
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+        si0,
+        si1,
+        si2,
+        si3,
+        so0,
+        so1,
+        so2,
+        so3,
+
+        KW,
+        KH,
+        IC,
+
+        IW,
+        IH,
+        N,
+
+        OW,
+        OH,
+
+        (uint32_t) s0,
+        (uint32_t) s1,
+        (uint32_t) p0,
+        (uint32_t) p1,
+        (uint32_t) d0,
+        (uint32_t) d1,
     };
 
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
+    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_im2col_pipeline(shader_lib_ctx);
+
+    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+
+    uint32_t total_wg = CEIL_DIV((uint32_t) ggml_nelements(dst), decisions->wg_size);
+    uint32_t wg_x     = std::min(ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension, total_wg);
+    uint32_t wg_y     = CEIL_DIV(total_wg, wg_x);
+
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_ssm_conv(webgpu_context & ctx,
+                                              ggml_tensor *    src0,
+                                              ggml_tensor *    src1,
+                                              ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
     webgpu_pipeline pipeline  = ctx->shader_lib->get_ssm_conv_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_ssm_conv_shader_decisions *>(pipeline.context.get());
 
@@ -988,43 +1093,139 @@ static webgpu_encoded_op ggml_webgpu_ssm_conv(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     const uint32_t wg_x = CEIL_DIV((uint32_t) src0->ne[1], decisions->block_size);
     const uint32_t wg_y = token_tiles * (uint32_t) dst->ne[2];
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x, wg_y);
-}
-
-static webgpu_encoded_op ggml_webgpu_gated_delta_net(webgpu_context &       ctx,
-                                                     wgpu::CommandEncoder & encoder,
-                                                     ggml_tensor *          src0,
-                                                     ggml_tensor *          src1,
-                                                     ggml_tensor *          src2,
-                                                     ggml_tensor *          src3,
-                                                     ggml_tensor *          src4,
-                                                     ggml_tensor *          src5,
-                                                     ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .src2        = src2,
-        .src3        = src3,
-        .src4        = src4,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_ssm_scan(webgpu_context & ctx,
+                                              ggml_tensor *    src0,
+                                              ggml_tensor *    src1,
+                                              ggml_tensor *    src2,
+                                              ggml_tensor *    src3,
+                                              ggml_tensor *    src4,
+                                              ggml_tensor *    src5,
+                                              ggml_tensor *    src6,
+                                              ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src4                           = src4;
+    shader_lib_ctx.src5                           = src5;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.supports_subgroups = ctx->global_ctx->capabilities.supports_subgroups;
+
+    webgpu_pipeline pipeline    = ctx->shader_lib->get_ssm_scan_pipeline(shader_lib_ctx);
+    auto *          decisions   = static_cast<ggml_webgpu_ssm_scan_shader_decisions *>(pipeline.context.get());
+    const bool      xbc_overlap = decisions->xbc_overlap;
+
+    uint32_t offset_x        = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type));
+    uint32_t offset_B        = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src4) / ggml_type_size(src4->type));
+    uint32_t offset_C        = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src5) / ggml_type_size(src5->type));
+    size_t   xbc_bind_offset = 0;
+    size_t   xbc_bind_size   = 0;
+    if (xbc_overlap) {
+        const ggml_webgpu_merged_binding_range merged_range =
+            ggml_webgpu_tensor_merged_binding_range(ctx, { src1, src4, src5 });
+        xbc_bind_offset = merged_range.offset;
+        xbc_bind_size   = merged_range.size;
+        offset_x        = ggml_webgpu_tensor_merged_element_offset(src1, merged_range);
+        offset_B        = ggml_webgpu_tensor_merged_element_offset(src4, merged_range);
+        offset_C        = ggml_webgpu_tensor_merged_element_offset(src5, merged_range);
+    }
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        offset_x,
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src3) / ggml_type_size(src3->type)),
+        offset_B,
+        offset_C,
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src6) / ggml_type_size(src6->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src0->nb[3] / ggml_type_size(src0->type)),
+
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+        (uint32_t) (src1->nb[3] / ggml_type_size(src1->type)),
+
+        (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)),
+        (uint32_t) (src2->nb[2] / ggml_type_size(src2->type)),
+
+        (uint32_t) src3->ne[0],
+        (uint32_t) (src3->nb[1] / ggml_type_size(src3->type)),
+
+        (uint32_t) (src4->nb[1] / ggml_type_size(src4->type)),
+        (uint32_t) (src4->nb[2] / ggml_type_size(src4->type)),
+        (uint32_t) (src4->nb[3] / ggml_type_size(src4->type)),
+
+        (uint32_t) (src5->nb[1] / ggml_type_size(src5->type)),
+        (uint32_t) (src5->nb[2] / ggml_type_size(src5->type)),
+        (uint32_t) (src5->nb[3] / ggml_type_size(src5->type)),
+
+        (uint32_t) src0->ne[0],
+        (uint32_t) src0->ne[1],
+        (uint32_t) src0->ne[2],
+        (uint32_t) src4->ne[1],
+        (uint32_t) src1->ne[2],
+        (uint32_t) src1->ne[3],
+        (uint32_t) ggml_nelements(src1),
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
     };
+    if (xbc_overlap) {
+        entries.push_back(
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1), xbc_bind_offset, xbc_bind_size));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 3, src3));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 4, src6));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 5, dst));
+    } else {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 3, src3));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 4, src4));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 5, src5));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 6, src6));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 7, dst));
+    }
+
+    const uint32_t total_wg       = (uint32_t) (src0->ne[1] * src0->ne[2] * src1->ne[3]);
+    const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
+    uint32_t       wg_x;
+    uint32_t       wg_y;
+    compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_gated_delta_net(webgpu_context & ctx,
+                                                     ggml_tensor *    src0,
+                                                     ggml_tensor *    src1,
+                                                     ggml_tensor *    src2,
+                                                     ggml_tensor *    src3,
+                                                     ggml_tensor *    src4,
+                                                     ggml_tensor *    src5,
+                                                     ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.src3                           = src3;
+    shader_lib_ctx.src4                           = src4;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_gated_delta_net_pipeline(shader_lib_ctx);
 
@@ -1060,56 +1261,30 @@ static webgpu_encoded_op ggml_webgpu_gated_delta_net(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(src2),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src2),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src2) },
-        { .binding = 3,
-         .buffer  = ggml_webgpu_tensor_buf(src3),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src3),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src3) },
-        { .binding = 4,
-         .buffer  = ggml_webgpu_tensor_buf(src4),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src4),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src4) },
-        { .binding = 5,
-         .buffer  = ggml_webgpu_tensor_buf(src5),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src5),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src5) },
-        { .binding = 6,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0), ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2), ggml_webgpu_make_tensor_bind_group_entry(ctx, 3, src3),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 4, src4), ggml_webgpu_make_tensor_bind_group_entry(ctx, 5, src5),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 6, dst),
     };
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, h, n_seqs);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, h, n_seqs);
 }
 
-static std::optional<webgpu_encoded_op> ggml_webgpu_set_rows(webgpu_context &       ctx,
-                                                             wgpu::CommandEncoder & encoder,
-                                                             ggml_tensor *          src,
-                                                             ggml_tensor *          idx,
-                                                             ggml_tensor *          dst) {
+static std::optional<webgpu_encoded_op> ggml_webgpu_set_rows(webgpu_context & ctx,
+                                                             ggml_tensor *    src,
+                                                             ggml_tensor *    idx,
+                                                             ggml_tensor *    dst) {
     // For set rows specifically, we need to check if src and idx are empty
     // tensors.
     if (ggml_is_empty(src) || ggml_is_empty(idx)) {
         return std::nullopt;
     }
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = idx,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = idx;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_set_rows_pipeline(shader_lib_ctx);
 
@@ -1132,25 +1307,14 @@ static std::optional<webgpu_encoded_op> ggml_webgpu_set_rows(webgpu_context &
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(idx),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, idx),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, idx) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, idx),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     if (decisions->i64_idx) {
-        entries.push_back({ .binding = 3,
-                            .buffer  = ctx->set_rows_dev_error_buf,
-                            .offset  = 0,
-                            .size    = ctx->set_rows_dev_error_buf.GetSize() });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(3, ctx->set_rows_dev_error_buf, 0,
+                                                            ctx->set_rows_dev_error_buf.GetSize()));
     }
 
     uint32_t threads;
@@ -1160,7 +1324,7 @@ static std::optional<webgpu_encoded_op> ggml_webgpu_set_rows(webgpu_context &
         threads = src->ne[0] * src->ne[1] * src->ne[2] * src->ne[3];
     }
     uint32_t wg_x = CEIL_DIV(threads, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x, 1);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, 1);
 }
 
 // Workgroup size is a common constant
@@ -1171,19 +1335,17 @@ static std::vector<wgpu::ConstantEntry> ggml_webgpu_wg_size_entry(uint32_t wg_si
     return constants;
 }
 
-static webgpu_encoded_op ggml_webgpu_get_rows(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src,
-                                              ggml_tensor *          idx,
-                                              ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_get_rows(webgpu_context & ctx,
+                                              ggml_tensor *    src,
+                                              ggml_tensor *    idx,
+                                              ggml_tensor *    dst) {
     const bool float_parallel = src->type == GGML_TYPE_F32 || src->type == GGML_TYPE_F16 || src->type == GGML_TYPE_I32;
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = WEBGPU_MAX_WG_SIZE,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size                    = WEBGPU_MAX_WG_SIZE;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_get_rows_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
@@ -1207,34 +1369,22 @@ static webgpu_encoded_op ggml_webgpu_get_rows(webgpu_context &       ctx,
                                      (uint32_t) (idx->ne[1]),
                                      (uint32_t) (idx->ne[2]) };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(idx),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, idx),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, idx) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, idx),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst) };
 
     uint32_t blocks_per_row = (uint32_t) (dst->ne[0] / (src->type == GGML_TYPE_F32 && dst->ne[0] % 4 == 0 ? 4 : 1));
     uint32_t total_rows     = (uint32_t) (dst->ne[1] * dst->ne[2] * dst->ne[3]);
     uint32_t total_threads  = float_parallel ? blocks_per_row * total_rows : total_rows;
     uint32_t wg_x           = CEIL_DIV(total_threads, decisions->wg_size);
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context &       ctx,
-                                             wgpu::CommandEncoder & encoder,
-                                             ggml_tensor *          src0,
-                                             ggml_tensor *          src1,
-                                             ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context & ctx,
+                                             ggml_tensor *    src0,
+                                             ggml_tensor *    src1,
+                                             ggml_tensor *    dst) {
     // Determine if this is a mat-vec operation
     bool is_vec = (dst->ne[1] == 1);
 
@@ -1254,16 +1404,24 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context &       ctx,
                 case GGML_TYPE_Q5_0:
                 case GGML_TYPE_Q5_1:
                 case GGML_TYPE_Q8_0:
-                case GGML_TYPE_Q8_1:
                 case GGML_TYPE_Q6_K:
-                    use_fast = true;
-                    break;
-                case GGML_TYPE_Q2_K:
-                case GGML_TYPE_Q3_K:
                 case GGML_TYPE_Q4_K:
                 case GGML_TYPE_Q5_K:
-                    // we don't have fast mat-vec for these types, but we do have (semi) fast mat-mat
-                    use_fast = !is_vec;
+                case GGML_TYPE_Q3_K:
+                case GGML_TYPE_Q2_K:
+                case GGML_TYPE_Q1_0:
+                    use_fast = true;
+                    break;
+                case GGML_TYPE_IQ1_S:
+                case GGML_TYPE_IQ1_M:
+                case GGML_TYPE_IQ2_XXS:
+                case GGML_TYPE_IQ2_XS:
+                case GGML_TYPE_IQ2_S:
+                case GGML_TYPE_IQ3_XXS:
+                case GGML_TYPE_IQ3_S:
+                case GGML_TYPE_IQ4_NL:
+                case GGML_TYPE_IQ4_XS:
+                    use_fast = true;
                     break;
                 default:
                     break;
@@ -1273,17 +1431,18 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context &       ctx,
             break;
     }
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0                     = src0,
-        .src1                     = src1,
-        .dst                      = dst,
-        .max_wg_size              = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .supports_subgroup_matrix = ctx->global_ctx->capabilities.supports_subgroup_matrix,
-        .sg_mat_m                 = ctx->global_ctx->capabilities.sg_mat_m,
-        .sg_mat_n                 = ctx->global_ctx->capabilities.sg_mat_n,
-        .sg_mat_k                 = ctx->global_ctx->capabilities.sg_mat_k,
-        .max_subgroup_size        = ctx->global_ctx->capabilities.max_subgroup_size,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+
+    shader_lib_ctx.src0                     = src0;
+    shader_lib_ctx.src1                     = src1;
+    shader_lib_ctx.dst                      = dst;
+    shader_lib_ctx.max_wg_size              = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.supports_subgroups       = ctx->global_ctx->capabilities.supports_subgroups;
+    shader_lib_ctx.supports_subgroup_matrix = ctx->global_ctx->capabilities.supports_subgroup_matrix;
+    shader_lib_ctx.sg_mat_m                 = ctx->global_ctx->capabilities.sg_mat_m;
+    shader_lib_ctx.sg_mat_n                 = ctx->global_ctx->capabilities.sg_mat_n;
+    shader_lib_ctx.sg_mat_k                 = ctx->global_ctx->capabilities.sg_mat_k;
+    shader_lib_ctx.max_subgroup_size        = ctx->global_ctx->capabilities.max_subgroup_size;
 
     // Get or create pipeline
     webgpu_pipeline pipeline;
@@ -1318,18 +1477,9 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context &       ctx,
 
     // Build bind group entries
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
     // Calculate workgroup dimensions
@@ -1373,23 +1523,212 @@ static webgpu_encoded_op ggml_webgpu_mul_mat(webgpu_context &       ctx,
         compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x, wg_y);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
 }
 
-#ifndef __EMSCRIPTEN__
-static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context &       ctx,
-                                                wgpu::CommandEncoder & encoder,
-                                                ggml_tensor *          Q,
-                                                ggml_tensor *          K,
-                                                ggml_tensor *          V,
-                                                ggml_tensor *          mask,
-                                                ggml_tensor *          sinks,
-                                                ggml_tensor *          dst) {
-    float scale = *(float *) dst->op_params;
-    float max_bias;
-    memcpy(&max_bias, (float *) dst->op_params + 1, sizeof(float));
-    float logit_softcap;
-    memcpy(&logit_softcap, (float *) dst->op_params + 2, sizeof(float));
+static webgpu_encoded_op ggml_webgpu_mul_mat_id_vec(webgpu_context & ctx,
+                                                    ggml_tensor *    src0,
+                                                    ggml_tensor *    src1,
+                                                    ggml_tensor *    src2,
+                                                    ggml_tensor *    dst) {
+    const uint32_t param_n_expert      = (uint32_t) src0->ne[2];
+    const uint32_t param_n_expert_used = (uint32_t) dst->ne[1];
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.supports_subgroups             = ctx->global_ctx->capabilities.supports_subgroups;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline = ctx->shader_lib->get_mul_mat_id_vec_pipeline(shader_lib_ctx);
+
+    std::vector<uint32_t> params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) src0->ne[0],
+        (uint32_t) src0->ne[1],
+        param_n_expert,
+        param_n_expert_used,
+        (uint32_t) src1->ne[1],
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+    };
+
+    std::vector<wgpu::BindGroupEntry> entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0),
+                                          ggml_webgpu_tensor_binding_size(ctx, src0)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1), ggml_webgpu_tensor_align_offset(ctx, src1),
+                                          ggml_webgpu_tensor_binding_size(ctx, src1)),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(src2), ggml_webgpu_tensor_align_offset(ctx, src2),
+                                          ggml_webgpu_tensor_binding_size(ctx, src2)),
+        ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst),
+                                          ggml_webgpu_tensor_binding_size(ctx, dst)),
+    };
+
+    uint32_t wg_x = 1;
+    uint32_t wg_y = 1;
+
+    auto * decisions = static_cast<ggml_webgpu_mul_mat_vec_shader_decisions *>(pipeline.context.get());
+
+    const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
+    uint32_t       output_groups  = CEIL_DIV(dst->ne[0], decisions->outputs_per_wg);
+    uint32_t       total_wg       = output_groups * param_n_expert_used;
+    compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
+}
+
+static webgpu_encoded_op ggml_webgpu_mul_mat_id(webgpu_context & ctx,
+                                                ggml_tensor *    src0,
+                                                ggml_tensor *    src1,
+                                                ggml_tensor *    src2,
+                                                ggml_tensor *    dst) {
+    // we can use mat-vec fast path
+    if (dst->ne[2] == 1) {
+        return ggml_webgpu_mul_mat_id_vec(ctx, src0, src1, src2, dst);
+    }
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    // Get or create pipeline
+    webgpu_pipeline gather_pipeline;
+    webgpu_pipeline main_pipeline;
+
+    std::vector<webgpu_dispatch_desc> dispatches;
+
+    gather_pipeline = ctx->shader_lib->get_mul_mat_id_gather_pipeline(shader_lib_ctx);
+    main_pipeline   = ctx->shader_lib->get_mul_mat_id_pipeline(shader_lib_ctx);
+
+    const uint32_t param_n_expert      = (uint32_t) src0->ne[2];
+    const uint32_t param_n_expert_used = (uint32_t) dst->ne[1];
+    const uint32_t param_n_tokens      = (uint32_t) dst->ne[2];
+
+    // params for mul_mat_id_gather.wgsl
+    std::vector<uint32_t> gather_params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src2) / ggml_type_size(src2->type)),
+        param_n_expert,
+        param_n_expert_used,
+        param_n_tokens,
+        (uint32_t) (src2->nb[1] / ggml_type_size(src2->type)),
+    };
+
+    const size_t dst_offset          = ggml_webgpu_tensor_offset(dst);
+    const size_t gathered_buf_nbytes = src0->ne[2] * src1->ne[2] * sizeof(uint32_t);
+
+    const size_t gathered_expert_used_align_offset = ROUNDUP_POW2(
+        dst_offset + ggml_nbytes(dst), ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+    const size_t gathered_tokens_align_offset =
+        ROUNDUP_POW2(gathered_expert_used_align_offset + gathered_buf_nbytes,
+                     ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+    const size_t gathered_count_ids_align_offset =
+        ROUNDUP_POW2(gathered_tokens_align_offset + gathered_buf_nbytes,
+                     ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+
+    const size_t gathered_binding_size = ROUNDUP_POW2(gathered_buf_nbytes, WEBGPU_STORAGE_BUF_BINDING_MULT);
+    const size_t gathered_count_ids_binding_size =
+        ROUNDUP_POW2(src0->ne[2] * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+
+    // bind group entries for mul_mat_id_gather.wgsl
+    std::vector<wgpu::BindGroupEntry> gather_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src2), ggml_webgpu_tensor_align_offset(ctx, src2),
+                                          ggml_webgpu_tensor_binding_size(ctx, src2)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), gathered_expert_used_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), gathered_tokens_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), gathered_count_ids_align_offset,
+                                          gathered_count_ids_binding_size),
+    };
+
+    const uint32_t max_wg_per_dim = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension;
+
+    const uint32_t gather_total_wg = param_n_expert;
+    const uint32_t gather_wg_x     = std::min(gather_total_wg, max_wg_per_dim);
+    const uint32_t gather_wg_y     = CEIL_DIV(gather_total_wg, gather_wg_x);
+
+    dispatches.push_back({
+        gather_pipeline, std::move(gather_params), std::move(gather_entries), { gather_wg_x, gather_wg_y }
+    });
+
+    // params for mul_mat_id.wgsl
+    std::vector<uint32_t> main_params = {
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) src0->ne[0],
+        (uint32_t) src0->ne[1],
+        param_n_expert,
+        param_n_expert_used,
+        param_n_tokens,
+        (uint32_t) src1->ne[1],
+        (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[1] / ggml_type_size(src1->type)),
+        (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
+        (uint32_t) (src1->nb[2] / ggml_type_size(src1->type)),
+    };
+
+    // bind group entries for mul_mat_id.wgsl
+    std::vector<wgpu::BindGroupEntry> main_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0),
+                                          ggml_webgpu_tensor_binding_size(ctx, src0)),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1), ggml_webgpu_tensor_align_offset(ctx, src1),
+                                          ggml_webgpu_tensor_binding_size(ctx, src1)),
+        ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst),
+                                          ggml_webgpu_tensor_binding_size(ctx, dst)),
+        ggml_webgpu_make_bind_group_entry(3, ggml_webgpu_tensor_buf(dst), gathered_expert_used_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(4, ggml_webgpu_tensor_buf(dst), gathered_tokens_align_offset,
+                                          gathered_binding_size),
+        ggml_webgpu_make_bind_group_entry(5, ggml_webgpu_tensor_buf(dst), gathered_count_ids_align_offset,
+                                          gathered_count_ids_binding_size),
+    };
+
+    // Calculate workgroup dimensions
+    uint32_t wg_x = 1;
+    uint32_t wg_y = 1;
+
+    auto * main_decisions = static_cast<ggml_webgpu_mul_mat_shader_decisions *>(main_pipeline.context.get());
+
+    uint32_t wg_m;
+
+    uint32_t tile_m_s           = main_decisions->tile_m * main_decisions->wg_size_m;
+    uint32_t tile_n_s           = main_decisions->tile_n * main_decisions->wg_size_n;
+    wg_m                        = CEIL_DIV(dst->ne[0], tile_m_s);
+    uint32_t total_gathered     = dst->ne[1] * dst->ne[2];
+    uint32_t max_active_experts = std::min((uint32_t) src0->ne[2], total_gathered);
+    uint32_t max_wg_n           = CEIL_DIV(total_gathered, tile_n_s) + max_active_experts;
+    uint32_t total_wg           = wg_m * max_wg_n;
+
+    compute_2d_workgroups(total_wg, max_wg_per_dim, wg_x, wg_y);
+
+    dispatches.push_back({
+        main_pipeline, std::move(main_params), std::move(main_entries), { wg_x, wg_y }
+    });
+
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
+}
+
+static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context & ctx,
+                                                ggml_tensor *    Q,
+                                                ggml_tensor *    K,
+                                                ggml_tensor *    V,
+                                                ggml_tensor *    mask,
+                                                ggml_tensor *    sinks,
+                                                ggml_tensor *    dst) {
+    float scale         = ggml_get_op_params_f32(dst, 0);
+    float max_bias      = ggml_get_op_params_f32(dst, 1);
+    float logit_softcap = ggml_get_op_params_f32(dst, 2);
     if (logit_softcap != 0.0f) {
         scale /= logit_softcap;
     }
@@ -1397,13 +1736,44 @@ static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context &       ctx,
     float m0          = powf(2.0f, -(max_bias) / n_head_log2);
     float m1          = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
-    const int has_mask  = (mask != nullptr);
-    const int has_sinks = (sinks != nullptr);
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = Q;
+    shader_lib_ctx.src1                           = K;
+    shader_lib_ctx.src2                           = V;
+    shader_lib_ctx.src3                           = mask;
+    shader_lib_ctx.src4                           = sinks;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.supports_subgroups             = ctx->global_ctx->capabilities.supports_subgroups;
+    shader_lib_ctx.supports_subgroup_matrix       = ctx->global_ctx->capabilities.supports_subgroup_matrix;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+    shader_lib_ctx.sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m;
+    shader_lib_ctx.sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n;
+    shader_lib_ctx.sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k;
+    shader_lib_ctx.max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size;
+    webgpu_pipeline pipeline          = ctx->shader_lib->get_flash_attn_pipeline(
+        shader_lib_ctx, ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+    auto *     decisions  = static_cast<ggml_webgpu_flash_attn_decisions *>(pipeline.context.get());
+    const int  has_mask   = (mask != nullptr);
+    const int  has_sinks  = (sinks != nullptr);
+    const bool kv_overlap = decisions->kv_overlap;
+
+    uint32_t offset_k       = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, K) / ggml_type_size(K->type));
+    uint32_t offset_v       = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, V) / ggml_type_size(V->type));
+    size_t   kv_bind_offset = 0;
+    size_t   kv_bind_size   = 0;
+    if (kv_overlap) {
+        const ggml_webgpu_merged_binding_range merged_range = ggml_webgpu_tensor_merged_binding_range(ctx, { K, V });
+        kv_bind_offset                                      = merged_range.offset;
+        kv_bind_size                                        = merged_range.size;
+        offset_k                                            = ggml_webgpu_tensor_merged_element_offset(K, merged_range);
+        offset_v                                            = ggml_webgpu_tensor_merged_element_offset(V, merged_range);
+    }
 
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, Q) / ggml_type_size(Q->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, K) / ggml_type_size(K->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, V) / ggml_type_size(V->type)),
+        offset_k,
+        offset_v,
         has_mask ? (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, mask) / ggml_type_size(mask->type)) : 0,
         has_sinks ? (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, sinks) / ggml_type_size(sinks->type)) : 0,
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
@@ -1421,86 +1791,38 @@ static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context &       ctx,
         (uint32_t) (V->nb[3] / ggml_type_size(V->type)),  // stride (elements/blocks) of V in dimension 3
         has_mask ? (uint32_t) (mask->nb[3] / ggml_type_size(mask->type)) : 0,  // stride of mask dim 3
         (uint32_t) (Q->ne[2] / K->ne[2]),  // repeat factor for K/V in dim 2 (MHA/MQA/GQA)
-        *(uint32_t *) &scale,              // scale (possibly adjusted for logit softcap)
-        *(uint32_t *) &max_bias,
-        *(uint32_t *) &logit_softcap,
-        *(uint32_t *) &n_head_log2,
-        *(uint32_t *) &m0,
-        *(uint32_t *) &m1
+        ggml_webgpu_u32_from_f32(scale),   // scale (possibly adjusted for logit softcap)
+        ggml_webgpu_u32_from_f32(max_bias),
+        ggml_webgpu_u32_from_f32(logit_softcap),
+        ggml_webgpu_u32_from_f32(n_head_log2),
+        ggml_webgpu_u32_from_f32(m0),
+        ggml_webgpu_u32_from_f32(m1)
 
     };
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(Q),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, Q),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, Q) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(K),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, K),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, K) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(V),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, V),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, V) }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, Q),
     };
-    uint32_t binding_index = 3;
+    if (kv_overlap) {
+        entries.push_back(
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(K), kv_bind_offset, kv_bind_size));
+    } else {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, K));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, V));
+    }
+    uint32_t binding_index = kv_overlap ? 2u : 3u;
     if (has_mask) {
-        entries.push_back({ .binding = binding_index++,
-                            .buffer  = ggml_webgpu_tensor_buf(mask),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, mask),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, mask) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, mask));
     }
     if (has_sinks) {
-        entries.push_back({ .binding = binding_index++,
-                            .buffer  = ggml_webgpu_tensor_buf(sinks),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, sinks),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, sinks) });
-    }
-    entries.push_back({ .binding = binding_index++,
-                        .buffer  = ggml_webgpu_tensor_buf(dst),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
-
-    const uint32_t k_offset_elems   = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, K) / ggml_type_size(K->type));
-    const uint32_t v_offset_elems   = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, V) / ggml_type_size(V->type));
-    const bool     f16_vec4_aligned = (k_offset_elems % 4u == 0u) && (v_offset_elems % 4u == 0u);
-
-    const bool kv_direct = (K->type == GGML_TYPE_F16) && f16_vec4_aligned &&
-                           (Q->ne[0] % ctx->global_ctx->capabilities.sg_mat_k == 0) &&
-                           (K->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0);
-
-    const bool kv_vec_type_supported =
-        K->type == GGML_TYPE_F16 || K->type == GGML_TYPE_Q4_0 || K->type == GGML_TYPE_Q8_0;
-    const bool use_vec = (Q->ne[1] < 20) && (Q->ne[0] % 32 == 0) && (V->ne[0] % 4 == 0) && kv_vec_type_supported &&
-                         (K->type != GGML_TYPE_F16 || f16_vec4_aligned) && (V->type == K->type);
-    const uint32_t vec_nwg_cap = std::max(1u, std::min<uint32_t>(32u, ctx->global_ctx->capabilities.max_subgroup_size));
-    const bool     use_blk     = use_vec && has_mask;
-
-    ggml_webgpu_flash_attn_pipeline_key key = {
-        .kv_type            = K->type,
-        .head_dim_qk        = (uint32_t) Q->ne[0],
-        .head_dim_v         = (uint32_t) V->ne[0],
-        .kv_direct          = kv_direct,
-        .has_mask           = static_cast<bool>(has_mask),
-        .has_sinks          = static_cast<bool>(has_sinks),
-        .uses_logit_softcap = logit_softcap != 0.0f,
-        .use_vec            = use_vec,
-    };
-
-    ggml_webgpu_flash_attn_shader_lib_context shader_lib_ctx = {
-        .key                = key,
-        .sg_mat_m           = ctx->global_ctx->capabilities.sg_mat_m,
-        .sg_mat_n           = ctx->global_ctx->capabilities.sg_mat_n,
-        .sg_mat_k           = ctx->global_ctx->capabilities.sg_mat_k,
-        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-        .max_subgroup_size  = ctx->global_ctx->capabilities.max_subgroup_size,
-    };
-    webgpu_pipeline pipeline = ctx->shader_lib->get_flash_attn_pipeline(shader_lib_ctx);
-
-    auto * decisions = static_cast<ggml_webgpu_flash_attn_shader_decisions *>(pipeline.context.get());
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, sinks));
+    }
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_index++, dst));
 
-    uint32_t wg_per_head = CEIL_DIV(Q->ne[1], decisions->q_tile);
-    uint32_t wg_x        = wg_per_head * Q->ne[2] * Q->ne[3];  // wg per head * number of heads * number of batches
+    if (decisions->path != GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+        uint32_t wg_per_head = CEIL_DIV(Q->ne[1], decisions->q_tile);
+        uint32_t wg_x        = wg_per_head * Q->ne[2] * Q->ne[3];  // wg per head * number of heads * number of batches
+        return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+    }
 
     wgpu::Buffer blk_buf         = {};
     uint64_t     blk_size_bytes  = 0;
@@ -1508,222 +1830,186 @@ static webgpu_encoded_op ggml_webgpu_flash_attn(webgpu_context &       ctx,
     uint32_t     blk_nblk1       = 0;
     uint32_t     blk_batch_count = 0;
 
-    if (use_vec) {
-        uint32_t       nwg     = 1u;
-        const uint64_t kv_span = (uint64_t) std::max(1u, decisions->kv_tile);
-        while ((2u * nwg * kv_span) < (uint64_t) K->ne[1] && nwg < vec_nwg_cap) {
-            nwg <<= 1;
-        }
-        nwg = std::min(nwg, vec_nwg_cap);
-        GGML_ASSERT(nwg <= ctx->global_ctx->capabilities.max_subgroup_size);
-        const uint64_t nrows          = (uint64_t) Q->ne[1] * Q->ne[2] * Q->ne[3];
-        const bool     use_vec_reduce = nwg > 1u;
-        GGML_ASSERT(nrows <= UINT32_MAX);
-
-        uint64_t     tmp_stats_base  = 0;
-        uint64_t     tmp_size_bytes  = 0;
-        wgpu::Buffer tmp_buf         = {};
-        uint64_t     tmp_bind_offset = 0;
-        uint64_t     tmp_bind_size   = 0;
-        const size_t align_bytes     = ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
-        const size_t dst_offset      = ggml_webgpu_tensor_offset(dst);
-        size_t       scratch_offset  = ROUNDUP_POW2(dst_offset + ggml_nbytes(dst), align_bytes);
-
-        if (use_vec_reduce) {
-            const uint64_t tmp_data_elems  = nrows * (uint64_t) V->ne[0] * nwg;
-            const uint64_t tmp_stats_elems = nrows * 2u * nwg;
-            tmp_stats_base                 = tmp_data_elems;
-            tmp_size_bytes =
-                ROUNDUP_POW2((tmp_data_elems + tmp_stats_elems) * sizeof(float), WEBGPU_STORAGE_BUF_BINDING_MULT);
-            GGML_ASSERT(tmp_stats_base <= UINT32_MAX);
-            tmp_buf         = ggml_webgpu_tensor_buf(dst);
-            tmp_bind_offset = scratch_offset;
-            tmp_bind_size   = tmp_size_bytes;
-            scratch_offset  = ROUNDUP_POW2(scratch_offset + tmp_size_bytes, align_bytes);
-        } else {
-            // nwg==1 writes final dst directly in vec-split; keep tmp binding valid without extra allocation.
-            tmp_buf         = ggml_webgpu_tensor_buf(dst);
-            tmp_bind_offset = ggml_webgpu_tensor_align_offset(ctx, dst);
-            tmp_bind_size   = ggml_webgpu_tensor_binding_size(ctx, dst);
-        }
-
-        webgpu_pipeline                   blk_pipeline;
-        std::vector<uint32_t>             blk_params;
-        std::vector<wgpu::BindGroupEntry> blk_entries;
-        if (use_blk) {
-            GGML_ASSERT(has_mask);
-
-            blk_nblk0                   = CEIL_DIV((uint32_t) K->ne[1], decisions->kv_tile);
-            blk_nblk1                   = CEIL_DIV((uint32_t) Q->ne[1], decisions->q_tile);
-            blk_buf                     = ggml_webgpu_tensor_buf(dst);
-            const uint32_t stride_mask3 = (uint32_t) (mask->nb[3] / ggml_type_size(mask->type));
-            blk_batch_count             = stride_mask3 > 0 ? (uint32_t) Q->ne[3] : 1u;
-            const uint64_t blk_elems    = (uint64_t) blk_nblk0 * blk_nblk1 * blk_batch_count;
-            blk_size_bytes              = ROUNDUP_POW2(blk_elems * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
-            ggml_webgpu_flash_attn_blk_shader_lib_context blk_shader_ctx = {
-                .key =
-                    {
-                        .q_tile  = decisions->q_tile,
-                        .kv_tile = decisions->kv_tile,
-                    },
-                .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-            };
-            blk_pipeline = ctx->shader_lib->get_flash_attn_blk_pipeline(blk_shader_ctx);
-
-            blk_params = {
-                (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, mask) / ggml_type_size(mask->type)),  // offset_mask
-                (uint32_t) Q->ne[1],                                                                   // seq_len_q
-                (uint32_t) K->ne[1],                                                                   // seq_len_kv
-                stride_mask3,                                                                          // stride_mask3
-                blk_nblk0,                                                                             // nblk0
-                blk_nblk1,                                                                             // nblk1
-            };
-            blk_entries = {
-                { .binding = 0,
-                 .buffer  = ggml_webgpu_tensor_buf(mask),
-                 .offset  = ggml_webgpu_tensor_align_offset(ctx, mask),
-                 .size    = ggml_webgpu_tensor_binding_size(ctx, mask) },
-                { .binding = 1, .buffer = blk_buf, .offset = scratch_offset, .size = blk_size_bytes },
-            };
-            scratch_offset = ROUNDUP_POW2(scratch_offset + blk_size_bytes, align_bytes);
-        }
+    const uint32_t vec_nwg_cap = std::max(1u, std::min<uint32_t>(32u, ctx->global_ctx->capabilities.max_subgroup_size));
+    uint32_t       nwg         = 1u;
+    const uint64_t kv_span     = (uint64_t) std::max(1u, decisions->kv_tile);
+    while ((2u * nwg * kv_span) < (uint64_t) K->ne[1] && nwg < vec_nwg_cap) {
+        nwg <<= 1;
+    }
+    nwg                           = std::min(nwg, vec_nwg_cap);
+    const uint64_t nrows          = (uint64_t) Q->ne[1] * Q->ne[2] * Q->ne[3];
+    const bool     use_vec_reduce = nwg > 1u;
+    GGML_ASSERT(nrows <= UINT32_MAX);
+
+    uint64_t     tmp_stats_base  = 0;
+    uint64_t     tmp_size_bytes  = 0;
+    wgpu::Buffer tmp_buf         = {};
+    uint64_t     tmp_bind_offset = 0;
+    uint64_t     tmp_bind_size   = 0;
+    const size_t align_bytes     = ctx->global_ctx->capabilities.limits.minStorageBufferOffsetAlignment;
+    const size_t dst_offset      = ggml_webgpu_tensor_offset(dst);
+    size_t       scratch_offset  = ROUNDUP_POW2(dst_offset + ggml_nbytes(dst), align_bytes);
+
+    if (use_vec_reduce) {
+        const uint64_t tmp_data_elems  = nrows * (uint64_t) V->ne[0] * nwg;
+        const uint64_t tmp_stats_elems = nrows * 2u * nwg;
+        tmp_stats_base                 = tmp_data_elems;
+        tmp_size_bytes =
+            ROUNDUP_POW2((tmp_data_elems + tmp_stats_elems) * sizeof(float), WEBGPU_STORAGE_BUF_BINDING_MULT);
+        GGML_ASSERT(tmp_stats_base <= UINT32_MAX);
+        tmp_buf         = ggml_webgpu_tensor_buf(dst);
+        tmp_bind_offset = scratch_offset;
+        tmp_bind_size   = tmp_size_bytes;
+        scratch_offset  = ROUNDUP_POW2(scratch_offset + tmp_size_bytes, align_bytes);
+    } else {
+        // nwg==1 writes final dst directly in vec-split; bind tmp to a tiny non-overlapping scratch region.
+        tmp_size_bytes  = WEBGPU_STORAGE_BUF_BINDING_MULT;
+        tmp_buf         = ggml_webgpu_tensor_buf(dst);
+        tmp_bind_offset = scratch_offset;
+        tmp_bind_size   = tmp_size_bytes;
+        scratch_offset  = ROUNDUP_POW2(scratch_offset + tmp_size_bytes, align_bytes);
+    }
 
-        std::vector<uint32_t> split_params = params;
-        if (use_blk) {
-            split_params.push_back(0u);                     // blk_base
-            split_params.push_back(blk_nblk0);              // blk_nblk0
-            split_params.push_back(blk_nblk1);              // blk_nblk1
-        }
-        split_params.push_back(0u);                         // tmp_data_base
-        split_params.push_back((uint32_t) tmp_stats_base);  // tmp_stats_base
-        split_params.push_back(nwg);                        // nwg
-
-        std::vector<wgpu::BindGroupEntry> split_entries = {
-            { .binding = 0,
-             .buffer  = ggml_webgpu_tensor_buf(Q),
-             .offset  = ggml_webgpu_tensor_align_offset(ctx, Q),
-             .size    = ggml_webgpu_tensor_binding_size(ctx, Q) },
-            { .binding = 1,
-             .buffer  = ggml_webgpu_tensor_buf(K),
-             .offset  = ggml_webgpu_tensor_align_offset(ctx, K),
-             .size    = ggml_webgpu_tensor_binding_size(ctx, K) },
-            { .binding = 2,
-             .buffer  = ggml_webgpu_tensor_buf(V),
-             .offset  = ggml_webgpu_tensor_align_offset(ctx, V),
-             .size    = ggml_webgpu_tensor_binding_size(ctx, V) },
+    webgpu_pipeline                   blk_pipeline;
+    std::vector<uint32_t>             blk_params;
+    std::vector<wgpu::BindGroupEntry> blk_entries;
+    if (has_mask) {
+        blk_nblk0                   = CEIL_DIV((uint32_t) K->ne[1], decisions->kv_tile);
+        blk_nblk1                   = (uint32_t) Q->ne[1];
+        blk_buf                     = ggml_webgpu_tensor_buf(dst);
+        const uint32_t stride_mask3 = (uint32_t) (mask->nb[3] / ggml_type_size(mask->type));
+        blk_batch_count             = stride_mask3 > 0 ? (uint32_t) Q->ne[3] : 1u;
+        const uint64_t blk_elems    = (uint64_t) blk_nblk0 * blk_nblk1 * blk_batch_count;
+        blk_size_bytes              = ROUNDUP_POW2(blk_elems * sizeof(uint32_t), WEBGPU_STORAGE_BUF_BINDING_MULT);
+        const ggml_webgpu_shader_lib_context blk_shader_ctx = shader_lib_ctx;
+        blk_pipeline = ctx->shader_lib->get_flash_attn_blk_pipeline(blk_shader_ctx, decisions->kv_tile);
+
+        blk_params = {
+            (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, mask) / ggml_type_size(mask->type)),  // offset_mask
+            (uint32_t) Q->ne[1],                                                                   // seq_len_q
+            (uint32_t) K->ne[1],                                                                   // seq_len_kv
+            stride_mask3,                                                                          // stride_mask3
+            blk_nblk0,                                                                             // nblk0
+            blk_nblk1,                                                                             // nblk1
         };
-        uint32_t split_binding_index = 3;
-        if (has_mask) {
-            split_entries.push_back({ .binding = split_binding_index++,
-                                      .buffer  = ggml_webgpu_tensor_buf(mask),
-                                      .offset  = ggml_webgpu_tensor_align_offset(ctx, mask),
-                                      .size    = ggml_webgpu_tensor_binding_size(ctx, mask) });
-        }
-        if (has_sinks) {
-            split_entries.push_back({ .binding = split_binding_index++,
-                                      .buffer  = ggml_webgpu_tensor_buf(sinks),
-                                      .offset  = ggml_webgpu_tensor_align_offset(ctx, sinks),
-                                      .size    = ggml_webgpu_tensor_binding_size(ctx, sinks) });
-        }
-        if (use_blk) {
-            split_entries.push_back({ .binding = split_binding_index++,
-                                      .buffer  = blk_buf,
-                                      .offset  = blk_entries[1].offset,
-                                      .size    = blk_size_bytes });
-        }
+        blk_entries = {
+            ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(mask),
+                                              ggml_webgpu_tensor_align_offset(ctx, mask),
+                                              ggml_webgpu_tensor_binding_size(ctx, mask)),
+            ggml_webgpu_make_bind_group_entry(1, blk_buf, scratch_offset, blk_size_bytes),
+        };
+        scratch_offset = ROUNDUP_POW2(scratch_offset + blk_size_bytes, align_bytes);
+    }
+
+    std::vector<uint32_t> split_params = params;
+    if (has_mask) {
+        split_params.push_back(0u);                     // blk_base
+        split_params.push_back(blk_nblk0);              // blk_nblk0
+        split_params.push_back(blk_nblk1);              // blk_nblk1
+    }
+    split_params.push_back(0u);                         // tmp_data_base
+    split_params.push_back((uint32_t) tmp_stats_base);  // tmp_stats_base
+    split_params.push_back(nwg);                        // nwg
+
+    std::vector<wgpu::BindGroupEntry> split_entries = {
+        ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(Q), ggml_webgpu_tensor_align_offset(ctx, Q),
+                                          ggml_webgpu_tensor_binding_size(ctx, Q)),
+    };
+    if (kv_overlap) {
         split_entries.push_back(
-            { .binding = split_binding_index++, .buffer = tmp_buf, .offset = tmp_bind_offset, .size = tmp_bind_size });
-        split_entries.push_back({ .binding = split_binding_index++,
-                                  .buffer  = ggml_webgpu_tensor_buf(dst),
-                                  .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                                  .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
-
-        webgpu_pipeline                   reduce_pipeline;
-        std::vector<uint32_t>             reduce_params;
-        std::vector<wgpu::BindGroupEntry> reduce_entries;
-        if (use_vec_reduce) {
-            const uint32_t reduce_wg_size = std::max(
-                32u,
-                std::min<uint32_t>(nwg * 32u, ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup));
-            ggml_webgpu_flash_attn_vec_reduce_shader_lib_context reduce_shader_ctx = {
-                .key =
-                    {
-                        .head_dim_v = (uint32_t) V->ne[0],
-                        .wg_size    = reduce_wg_size,
-                    },
-                .max_wg_size = reduce_wg_size,
-            };
-            reduce_pipeline = ctx->shader_lib->get_flash_attn_vec_reduce_pipeline(reduce_shader_ctx);
-
-            reduce_params = {
-                (uint32_t) nrows,                                                                    // nrows
-                (uint32_t) Q->ne[1],                                                                 // seq_len_q
-                (uint32_t) Q->ne[2],                                                                 // n_heads
-                (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),  // offset_dst
-                nwg,                                                                                 // nwg
-                0u,                                                                                  // tmp_data_base
-                (uint32_t) tmp_stats_base,                                                           // tmp_stats_base
-            };
-
-            reduce_entries = {
-                { .binding = 0, .buffer = tmp_buf, .offset = tmp_bind_offset, .size = tmp_size_bytes },
-                { .binding = 1,
-                 .buffer  = ggml_webgpu_tensor_buf(dst),
-                 .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                 .size    = ggml_webgpu_tensor_binding_size(ctx, dst) },
-            };
-        }
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(K), kv_bind_offset, kv_bind_size));
+    } else {
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(K),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, K),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, K)));
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(V),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, V),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, V)));
+    }
+    uint32_t split_binding_index = kv_overlap ? 2u : 3u;
+    if (has_mask) {
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(mask),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, mask),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, mask)));
+    }
+    if (has_sinks) {
+        split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(sinks),
+                                                                  ggml_webgpu_tensor_align_offset(ctx, sinks),
+                                                                  ggml_webgpu_tensor_binding_size(ctx, sinks)));
+    }
+    if (has_mask) {
+        split_entries.push_back(
+            ggml_webgpu_make_bind_group_entry(split_binding_index++, blk_buf, blk_entries[1].offset, blk_size_bytes));
+    }
+    split_entries.push_back(
+        ggml_webgpu_make_bind_group_entry(split_binding_index++, tmp_buf, tmp_bind_offset, tmp_bind_size));
+    split_entries.push_back(ggml_webgpu_make_bind_group_entry(split_binding_index++, ggml_webgpu_tensor_buf(dst),
+                                                              ggml_webgpu_tensor_align_offset(ctx, dst),
+                                                              ggml_webgpu_tensor_binding_size(ctx, dst)));
+
+    webgpu_pipeline                   reduce_pipeline;
+    std::vector<uint32_t>             reduce_params;
+    std::vector<wgpu::BindGroupEntry> reduce_entries;
+    if (use_vec_reduce) {
+        const uint32_t reduce_wg_size = std::max(
+            32u, std::min<uint32_t>(nwg * 32u, ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup));
+        ggml_webgpu_shader_lib_context reduce_shader_ctx = shader_lib_ctx;
+        reduce_shader_ctx.max_wg_size                    = reduce_wg_size;
+        reduce_pipeline = ctx->shader_lib->get_flash_attn_vec_reduce_pipeline(reduce_shader_ctx);
+
+        reduce_params = {
+            (uint32_t) nrows,                                                                    // nrows
+            (uint32_t) Q->ne[1],                                                                 // seq_len_q
+            (uint32_t) Q->ne[2],                                                                 // n_heads
+            (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),  // offset_dst
+            nwg,                                                                                 // nwg
+            0u,                                                                                  // tmp_data_base
+            (uint32_t) tmp_stats_base,                                                           // tmp_stats_base
+        };
 
-        const uint64_t split_wg_total = (uint64_t) wg_x * nwg;
-        GGML_ASSERT(split_wg_total <= UINT32_MAX);
-        std::vector<webgpu_pipeline>                   pipelines;
-        std::vector<std::vector<uint32_t>>             params_list;
-        std::vector<std::vector<wgpu::BindGroupEntry>> entries_list;
-        std::vector<std::pair<uint32_t, uint32_t>>     workgroups_list;
-
-        if (use_blk) {
-            pipelines.push_back(blk_pipeline);
-            params_list.push_back(std::move(blk_params));
-            entries_list.push_back(std::move(blk_entries));
-            workgroups_list.push_back({ blk_nblk0, blk_nblk1 * blk_batch_count });
-        }
-        pipelines.push_back(pipeline);
-        params_list.push_back(std::move(split_params));
-        entries_list.push_back(std::move(split_entries));
-        workgroups_list.push_back({ (uint32_t) split_wg_total, 1u });
-        if (use_vec_reduce) {
-            pipelines.push_back(reduce_pipeline);
-            params_list.push_back(std::move(reduce_params));
-            entries_list.push_back(std::move(reduce_entries));
-            workgroups_list.push_back({ (uint32_t) nrows, 1u });
-        }
+        reduce_entries = {
+            ggml_webgpu_make_bind_group_entry(0, tmp_buf, tmp_bind_offset, tmp_size_bytes),
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), ggml_webgpu_tensor_align_offset(ctx, dst),
+                                              ggml_webgpu_tensor_binding_size(ctx, dst)),
+        };
+    }
+
+    uint32_t       wg_x           = Q->ne[1] * Q->ne[2] * Q->ne[3];
+    const uint64_t split_wg_total = (uint64_t) wg_x * nwg;
+    GGML_ASSERT(split_wg_total <= UINT32_MAX);
 
-        return ggml_backend_webgpu_build_multi(ctx->global_ctx, ctx->param_arena, encoder, pipelines, params_list,
-                                               entries_list, workgroups_list);
+    std::vector<webgpu_dispatch_desc> dispatches;
+
+    if (has_mask) {
+        dispatches.push_back({
+            blk_pipeline, std::move(blk_params), std::move(blk_entries), { blk_nblk0, blk_nblk1 * blk_batch_count }
+        });
+    }
+    dispatches.push_back({
+        pipeline, std::move(split_params), std::move(split_entries), { (uint32_t) split_wg_total, 1u }
+    });
+    if (use_vec_reduce) {
+        dispatches.push_back({
+            reduce_pipeline, std::move(reduce_params), std::move(reduce_entries), { (uint32_t) nrows, 1u }
+        });
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
 }
-#endif  // __EMSCRIPTEN__
 
-static webgpu_encoded_op ggml_webgpu_unary_op(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src,
-                                              ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_unary_op(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool is_unary = dst->op == GGML_OP_UNARY;
-    bool inplace  = ggml_webgpu_tensor_equal(src, dst) || (dst->op == GGML_OP_FILL);
-
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_unary_pipeline(shader_lib_ctx);
 
-    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    auto *     decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    const bool inplace   = decisions->inplace;
 
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
@@ -1750,10 +2036,10 @@ static webgpu_encoded_op ggml_webgpu_unary_op(webgpu_context &       ctx,
                     float alpha_p = ggml_get_op_params_f32(dst, 2);
                     float beta    = ggml_get_op_params_f32(dst, 3);
                     float eps     = ggml_get_op_params_f32(dst, 4);
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&alpha_n));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&alpha_p));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&beta));
-                    params.push_back(*reinterpret_cast<const uint32_t *>(&eps));
+                    params.push_back(ggml_webgpu_u32_from_f32(alpha_n));
+                    params.push_back(ggml_webgpu_u32_from_f32(alpha_p));
+                    params.push_back(ggml_webgpu_u32_from_f32(beta));
+                    params.push_back(ggml_webgpu_u32_from_f32(eps));
                     break;
                 }
             default:
@@ -1762,72 +2048,61 @@ static webgpu_encoded_op ggml_webgpu_unary_op(webgpu_context &       ctx,
     } else if (dst->op == GGML_OP_CLAMP) {
         float clamp_min = ggml_get_op_params_f32(dst, 0);
         float clamp_max = ggml_get_op_params_f32(dst, 1);
-        params.push_back(*reinterpret_cast<const uint32_t *>(&clamp_min));
-        params.push_back(*reinterpret_cast<const uint32_t *>(&clamp_max));
+        params.push_back(ggml_webgpu_u32_from_f32(clamp_min));
+        params.push_back(ggml_webgpu_u32_from_f32(clamp_max));
     } else if (dst->op == GGML_OP_FILL) {
         float fill_val = ggml_get_op_params_f32(dst, 0);
-        params.push_back(*reinterpret_cast<const uint32_t *>(&fill_val));
+        params.push_back(ggml_webgpu_u32_from_f32(fill_val));
         effective_src = dst;  // fill simply fills dst
     }
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(effective_src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, effective_src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, effective_src) },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, effective_src),
     };
     if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     }
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
-}
-
-static webgpu_encoded_op ggml_webgpu_binary_op(webgpu_context &       ctx,
-                                               wgpu::CommandEncoder & encoder,
-                                               ggml_tensor *          src0,
-                                               ggml_tensor *          src1,
-                                               ggml_tensor *          dst) {
-    binary_overlap_flags flags = ggml_webgpu_detect_binary_overlap(src0, src1, dst);
-
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = flags.inplace,
-        .overlap     = flags.overlap,
-        .src_overlap = flags.src_overlap,
-    };
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
 
-    webgpu_pipeline pipeline = ctx->shader_lib->get_binary_pipeline(shader_lib_ctx);
+static webgpu_encoded_op ggml_webgpu_binary_op(webgpu_context & ctx,
+                                               ggml_tensor *    src0,
+                                               ggml_tensor *    src1,
+                                               ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
-    auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_binary_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_binary_shader_decisions *>(pipeline.context.get());
 
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
     size_t src0_webgpu_tensor_align_offset = ggml_webgpu_tensor_align_offset(ctx, src0);
     size_t src1_webgpu_tensor_align_offset = ggml_webgpu_tensor_align_offset(ctx, src1);
 
-    uint32_t offset_merged_src0 = 0;
-    uint32_t offset_merged_src1 = 0;
-    if (flags.src_overlap) {
-        size_t min_off     = std::min(src0_webgpu_tensor_align_offset, src1_webgpu_tensor_align_offset);
-        offset_merged_src0 = (uint32_t) ((src0_webgpu_tensor_align_offset - min_off) / ggml_type_size(src0->type));
-        offset_merged_src1 = (uint32_t) ((src1_webgpu_tensor_align_offset - min_off) / ggml_type_size(src0->type));
+    uint32_t offset_src0   = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type));
+    uint32_t offset_src1   = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type));
+    size_t   merged_offset = 0;
+    size_t   merged_size   = 0;
+    if (decisions->src_overlap) {
+        const ggml_webgpu_merged_binding_range merged_range =
+            ggml_webgpu_tensor_merged_binding_range(ctx, { src0, src1 });
+        merged_offset = merged_range.offset;
+        merged_size   = merged_range.size;
+        offset_src0   = ggml_webgpu_tensor_merged_element_offset(src0, merged_range);
+        offset_src1   = ggml_webgpu_tensor_merged_element_offset(src1, merged_range);
     }
 
     std::vector<uint32_t> params = {
         ne,
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
-        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src1) / ggml_type_size(src1->type)),
+        offset_src0,
+        offset_src1,
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
-        offset_merged_src0,
-        offset_merged_src1,
         (uint32_t) (src0->nb[0] / ggml_type_size(src0->type)),
         (uint32_t) (src0->nb[1] / ggml_type_size(src0->type)),
         (uint32_t) (src0->nb[2] / ggml_type_size(src0->type)),
@@ -1847,54 +2122,30 @@ static webgpu_encoded_op ggml_webgpu_binary_op(webgpu_context &       ctx,
 
     std::vector<wgpu::BindGroupEntry> entries;
 
-    if (flags.src_overlap) {
-        size_t merged_offset = std::min(src0_webgpu_tensor_align_offset, src1_webgpu_tensor_align_offset);
-        size_t merged_end    = std::max(src0_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src0),
-                                        src1_webgpu_tensor_align_offset + ggml_webgpu_tensor_binding_size(ctx, src1));
-        entries.push_back({
-            .binding = 0,
-            .buffer  = ggml_webgpu_tensor_buf(src0),
-            .offset  = merged_offset,
-            .size    = merged_end - merged_offset,
-        });
-        entries.push_back({
-            .binding = 1,
-            .buffer  = ggml_webgpu_tensor_buf(dst),
-            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-            .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
-        });
+    if (decisions->src_overlap) {
+        entries.push_back(
+            ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0), merged_offset, merged_size));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     } else {
-        entries.push_back({
-            .binding = 0,
-            .buffer  = ggml_webgpu_tensor_buf(src0),
-            .offset  = src0_webgpu_tensor_align_offset,
-            .size    = ggml_webgpu_tensor_binding_size(ctx, src0),
-        });
-        entries.push_back({
-            .binding = 1,
-            .buffer  = ggml_webgpu_tensor_buf(src1),
-            .offset  = src1_webgpu_tensor_align_offset,
-            .size    = ggml_webgpu_tensor_binding_size(ctx, src1),
-        });
-        if (!flags.inplace && !flags.overlap) {
-            entries.push_back({
-                .binding = 2,
-                .buffer  = ggml_webgpu_tensor_buf(dst),
-                .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                .size    = ggml_webgpu_tensor_binding_size(ctx, dst),
-            });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(src0),
+                                                            src0_webgpu_tensor_align_offset,
+                                                            ggml_webgpu_tensor_binding_size(ctx, src0)));
+        entries.push_back(ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(src1),
+                                                            src1_webgpu_tensor_align_offset,
+                                                            ggml_webgpu_tensor_binding_size(ctx, src1)));
+        if (!decisions->inplace && !decisions->overlap) {
+            entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst));
         }
     }
 
     uint32_t wg_x = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_concat(webgpu_context &       ctx,
-                                            wgpu::CommandEncoder & encoder,
-                                            ggml_tensor *          src0,
-                                            ggml_tensor *          src1,
-                                            ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_concat(webgpu_context & ctx,
+                                            ggml_tensor *    src0,
+                                            ggml_tensor *    src1,
+                                            ggml_tensor *    dst) {
     uint32_t ne  = (uint32_t) ggml_nelements(dst);
     uint32_t dim = (uint32_t) dst->op_params[0];
 
@@ -1920,37 +2171,24 @@ static webgpu_encoded_op ggml_webgpu_concat(webgpu_context &       ctx,
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) },
-        { .binding = 2,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst),
     };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_concat_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
     uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_repeat(webgpu_context &       ctx,
-                                            wgpu::CommandEncoder & encoder,
-                                            ggml_tensor *          src0,
-                                            ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_repeat(webgpu_context & ctx, ggml_tensor * src0, ggml_tensor * dst) {
     uint32_t ne = (uint32_t) ggml_nelements(dst);
 
     std::vector<uint32_t> params = { ne,
@@ -1970,34 +2208,106 @@ static webgpu_encoded_op ggml_webgpu_repeat(webgpu_context &       ctx,
                                      (uint32_t) (dst->ne[2]) };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst)  }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst),
+    };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static std::optional<webgpu_encoded_op> ggml_webgpu_rms_norm_mul(webgpu_context & ctx,
+                                                                 ggml_tensor *    rn_src,
+                                                                 ggml_tensor *    rn_dst,
+                                                                 ggml_tensor *    mul_src0,
+                                                                 ggml_tensor *    mul_src1,
+                                                                 ggml_tensor *    dst) {
+    ggml_tensor * mul_src;
+
+    if (ggml_webgpu_tensor_equal(rn_dst, mul_src0)) {
+        mul_src = mul_src1;
+    } else if (ggml_webgpu_tensor_equal(rn_dst, mul_src1)) {
+        mul_src = mul_src0;
+    } else {
+        GGML_ABORT("rms_norm must be equal to the one of mul_src0 and mul_src1");
+    }
+
+    uint32_t offset_rn_src = (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, rn_src) / ggml_type_size(rn_src->type));
+    uint32_t offset_mul_src =
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, mul_src) / ggml_type_size(mul_src->type));
+    size_t merged_offset = 0;
+    size_t merged_size   = 0;
+
+    std::vector<uint32_t> params = {
+        offset_rn_src,
+        offset_mul_src,
+        (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+        (uint32_t) (rn_src->nb[1] / ggml_type_size(rn_src->type)),
+        (uint32_t) (rn_src->nb[2] / ggml_type_size(rn_src->type)),
+        (uint32_t) (rn_src->nb[3] / ggml_type_size(rn_src->type)),
+        (uint32_t) (mul_src->nb[1] / ggml_type_size(mul_src->type)),
+        (uint32_t) (mul_src->nb[2] / ggml_type_size(mul_src->type)),
+        (uint32_t) (mul_src->nb[3] / ggml_type_size(mul_src->type)),
+        (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+        (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
+        (uint32_t) mul_src->ne[0],
+        (uint32_t) mul_src->ne[1],
+        (uint32_t) mul_src->ne[2],
+        (uint32_t) mul_src->ne[3],
+        (uint32_t) dst->ne[0],
+        (uint32_t) dst->ne[1],
+        (uint32_t) dst->ne[2],
+        (uint32_t) dst->ne[3],
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(rn_dst, 0))  // epsilon, treated as f32 in the shader
     };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    std::vector<wgpu::BindGroupEntry> entries;
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = rn_src;
+    shader_lib_ctx.src1                           = mul_src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_rms_norm_mul_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_rms_norm_mul_shader_decisions *>(pipeline.context.get());
+
+    if (decisions->src_overlap) {
+        const ggml_webgpu_merged_binding_range merged_range =
+            ggml_webgpu_tensor_merged_binding_range(ctx, { rn_src, mul_src });
+        merged_offset  = merged_range.offset;
+        merged_size    = merged_range.size;
+        offset_rn_src  = ggml_webgpu_tensor_merged_element_offset(rn_src, merged_range);
+        offset_mul_src = ggml_webgpu_tensor_merged_element_offset(mul_src, merged_range);
+        params[0]      = offset_rn_src;
+        params[1]      = offset_mul_src;
+    }
+
+    if (decisions->inplace || decisions->overlap) {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, rn_src));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, mul_src));
+    } else if (decisions->src_overlap) {
+        entries.push_back(
+            ggml_webgpu_make_bind_group_entry(0, ggml_webgpu_tensor_buf(rn_src), merged_offset, merged_size));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
+    } else {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, rn_src));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, mul_src));
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, dst));
+    }
 
-    webgpu_pipeline pipeline  = ctx->shader_lib->get_repeat_pipeline(shader_lib_ctx);
-    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
-    uint32_t        wg_x      = CEIL_DIV(ne, decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, ggml_nrows(dst));
 }
 
-static webgpu_encoded_op ggml_webgpu_row_norm(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src,
-                                              ggml_tensor *          dst) {
-    bool inplace = ggml_webgpu_tensor_equal(src, dst);
-
+static webgpu_encoded_op ggml_webgpu_row_norm(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
@@ -2011,55 +2321,42 @@ static webgpu_encoded_op ggml_webgpu_row_norm(webgpu_context &       ctx,
         (uint32_t) src->ne[1],
         (uint32_t) src->ne[2],
         (uint32_t) src->ne[3],
-        *(uint32_t *) dst->op_params  // epsilon, treated as f32 in the shader
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0))  // epsilon, treated as f32 in the shader
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) }
-    };
-    if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
-    }
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_row_norm_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
-    webgpu_pipeline pipeline = ctx->shader_lib->get_row_norm_pipeline(shader_lib_ctx);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries,
-                                     ggml_nrows(src));
-}
-
-static webgpu_encoded_op ggml_webgpu_rope(webgpu_context &       ctx,
-                                          wgpu::CommandEncoder & encoder,
-                                          ggml_tensor *          src0,
-                                          ggml_tensor *          src1,
-                                          ggml_tensor *          src2,
-                                          ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .src2        = src2,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = ggml_webgpu_tensor_equal(src0, dst),
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src) };
+    if (!decisions->inplace) {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
+    }
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, ggml_nrows(src));
+}
+
+static webgpu_encoded_op ggml_webgpu_rope(webgpu_context & ctx,
+                                          ggml_tensor *    src0,
+                                          ggml_tensor *    src1,
+                                          ggml_tensor *    src2,
+                                          ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_rope_pipeline(shader_lib_ctx);
 
     auto * decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
-    const int inplace         = ggml_webgpu_tensor_equal(src0, dst);
-    const int has_freq_factor = (src2 != nullptr);
+    const bool inplace         = decisions->inplace;
+    const int  has_freq_factor = (src2 != nullptr);
 
     const int n_dims     = ((int32_t *) dst->op_params)[1];
     const int mode       = ((int32_t *) dst->op_params)[2];
@@ -2103,58 +2400,42 @@ static webgpu_encoded_op ggml_webgpu_rope(webgpu_context &       ctx,
         (uint32_t) src0->ne[2],
         (uint32_t) n_dims,
         (uint32_t) mode,
-        *(uint32_t *) &theta_scale,
-        *(uint32_t *) &attn_factor,
-        *(uint32_t *) &freq_scale,
-        *(uint32_t *) &ext_factor,
-        *(uint32_t *) &corr_dims[0],
-        *(uint32_t *) &corr_dims[1],
+        ggml_webgpu_u32_from_f32(theta_scale),
+        ggml_webgpu_u32_from_f32(attn_factor),
+        ggml_webgpu_u32_from_f32(freq_scale),
+        ggml_webgpu_u32_from_f32(ext_factor),
+        ggml_webgpu_u32_from_f32(corr_dims[0]),
+        ggml_webgpu_u32_from_f32(corr_dims[1]),
         (uint32_t) sections[0],
         (uint32_t) sections[1],
         (uint32_t) sections[2],
         (uint32_t) sections[3]
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(src1),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src1) }
-    };
-    uint32_t dst_binding = 2;
+    std::vector<wgpu::BindGroupEntry> entries     = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
+                                                      ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1) };
+    uint32_t                          dst_binding = 2;
     if (has_freq_factor) {
         dst_binding = 3;
-        entries.push_back({ .binding = 2,
-                            .buffer  = ggml_webgpu_tensor_buf(src2),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src2),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src2) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 2, src2));
     }
     if (!inplace) {
-        entries.push_back({ .binding = dst_binding,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, dst_binding, dst));
     }
 
     uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
-}
-
-static webgpu_encoded_op ggml_webgpu_glu(webgpu_context &       ctx,
-                                         wgpu::CommandEncoder & encoder,
-                                         ggml_tensor *          src0,
-                                         ggml_tensor *          src1,
-                                         ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static webgpu_encoded_op ggml_webgpu_glu(webgpu_context & ctx,
+                                         ggml_tensor *    src0,
+                                         ggml_tensor *    src1,
+                                         ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_glu_pipeline(shader_lib_ctx);
 
@@ -2182,47 +2463,31 @@ static webgpu_encoded_op ggml_webgpu_glu(webgpu_context &       ctx,
         (uint32_t) dst->ne[0],
         (uint32_t) dst->ne[1],
         (uint32_t) dst->ne[2],
-        (uint32_t) ((int32_t *) dst->op_params)[1],  // swapped
-        *(uint32_t *) &dst->op_params[2],            // alpha, for swiglu_oai
-        *(uint32_t *) &dst->op_params[3],            // limit, for swiglu_oai
+        (uint32_t) ((int32_t *) dst->op_params)[1],                // swapped
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 2)),  // alpha, for swiglu_oai
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 3)),  // limit, for swiglu_oai
     };
 
     std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) },
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
     };
     uint32_t dst_binding = 1;
     if (split) {
         dst_binding = 2;
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(src1),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src1) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, src1));
     }
-    entries.push_back({ .binding = dst_binding,
-                        .buffer  = ggml_webgpu_tensor_buf(dst),
-                        .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                        .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+    entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, dst_binding, dst));
 
     uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_scale(webgpu_context &       ctx,
-                                           wgpu::CommandEncoder & encoder,
-                                           ggml_tensor *          src,
-                                           ggml_tensor *          dst) {
-    bool inplace = ggml_webgpu_tensor_equal(src, dst);
-
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = inplace,
-    };
+static webgpu_encoded_op ggml_webgpu_scale(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline  = ctx->shader_lib->get_scale_pipeline(shader_lib_ctx);
     auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
@@ -2241,54 +2506,43 @@ static webgpu_encoded_op ggml_webgpu_scale(webgpu_context &       ctx,
         (uint32_t) src->ne[0],
         (uint32_t) src->ne[1],
         (uint32_t) src->ne[2],
-        *(uint32_t *) dst->op_params,     // scale
-        *(uint32_t *) &dst->op_params[1]  // bias
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0)),  // scale
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 1))   // bias
     };
 
     // bindgroups unchanged
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src) };
 
-    if (!inplace) {
-        entries.push_back({ .binding = 1,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+    if (!decisions->inplace) {
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst));
     }
 
     uint32_t wg_x = CEIL_DIV(ggml_nelements(dst), decisions->wg_size);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
-}
-
-static webgpu_encoded_op ggml_webgpu_soft_max(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src0,
-                                              ggml_tensor *          src1,
-                                              ggml_tensor *          src2,
-                                              ggml_tensor *          dst) {
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src0,
-        .src1        = src1,
-        .src2        = src2,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .inplace     = ggml_webgpu_tensor_equal(src0, dst),
-    };
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
 
-    webgpu_pipeline pipeline = ctx->shader_lib->get_soft_max_pipeline(shader_lib_ctx);
+static webgpu_encoded_op ggml_webgpu_soft_max(webgpu_context & ctx,
+                                              ggml_tensor *    src0,
+                                              ggml_tensor *    src1,
+                                              ggml_tensor *    src2,
+                                              ggml_tensor *    dst) {
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src0;
+    shader_lib_ctx.src1                           = src1;
+    shader_lib_ctx.src2                           = src2;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_soft_max_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
 
-    const int inplace  = ggml_webgpu_tensor_equal(src0, dst);
-    const int has_mask = (src1 != nullptr);
-    const int has_sink = (src2 != nullptr);
-    float     max_bias;
-    memcpy(&max_bias, (float *) dst->op_params + 1, sizeof(float));
-    float n_head_log2 = float(1u << (uint32_t) floor(log2(src0->ne[2])));
-    float m0          = powf(2.0f, -(max_bias) / n_head_log2);
-    float m1          = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
+    const bool inplace     = decisions->inplace;
+    const int  has_mask    = (src1 != nullptr);
+    const int  has_sink    = (src2 != nullptr);
+    float      max_bias    = ggml_get_op_params_f32(dst, 1);
+    float      n_head_log2 = float(1u << (uint32_t) floor(log2(src0->ne[2])));
+    float      m0          = powf(2.0f, -(max_bias) / n_head_log2);
+    float      m1          = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
     std::vector<uint32_t> params = {
         (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src0) / ggml_type_size(src0->type)),
@@ -2310,86 +2564,61 @@ static webgpu_encoded_op ggml_webgpu_soft_max(webgpu_context &       ctx,
         (uint32_t) src0->ne[2],
         has_mask ? (uint32_t) src1->ne[2] : 0,
         has_mask ? (uint32_t) src1->ne[3] : 0,
-        *(uint32_t *) dst->op_params,  // scale
-        *(uint32_t *) &max_bias,
-        *(uint32_t *) &n_head_log2,
-        *(uint32_t *) &m0,
-        *(uint32_t *) &m1
+        ggml_webgpu_u32_from_f32(ggml_get_op_params_f32(dst, 0)),  // scale
+        ggml_webgpu_u32_from_f32(max_bias),
+        ggml_webgpu_u32_from_f32(n_head_log2),
+        ggml_webgpu_u32_from_f32(m0),
+        ggml_webgpu_u32_from_f32(m1)
     };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src0),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src0),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src0) }
-    };
-    uint32_t binding_num = 1;
+    std::vector<wgpu::BindGroupEntry> entries     = { ggml_webgpu_make_bind_group_entry(
+        0, ggml_webgpu_tensor_buf(src0), ggml_webgpu_tensor_align_offset(ctx, src0),
+        ggml_webgpu_tensor_binding_size(ctx, src0)) };
+    uint32_t                          binding_num = 1;
     if (has_mask) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(src1),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src1),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src1) });
+        entries.push_back(ggml_webgpu_make_bind_group_entry(binding_num, ggml_webgpu_tensor_buf(src1),
+                                                            ggml_webgpu_tensor_align_offset(ctx, src1),
+                                                            ggml_webgpu_tensor_binding_size(ctx, src1)));
         binding_num++;
     }
     if (has_sink) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(src2),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, src2),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, src2) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_num, src2));
         binding_num++;
     }
     if (!inplace) {
-        entries.push_back({ .binding = binding_num,
-                            .buffer  = ggml_webgpu_tensor_buf(dst),
-                            .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-                            .size    = ggml_webgpu_tensor_binding_size(ctx, dst) });
+        entries.push_back(ggml_webgpu_make_tensor_bind_group_entry(ctx, binding_num, dst));
     }
 
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries,
-                                     ggml_nrows(dst));
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, ggml_nrows(dst));
 }
 
-static webgpu_encoded_op ggml_webgpu_argmax(webgpu_context &       ctx,
-                                            wgpu::CommandEncoder & encoder,
-                                            ggml_tensor *          src,
-                                            ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_argmax(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
                                      (uint32_t) src->ne[0] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_argmax_pipeline(shader_lib_ctx);
     uint32_t        wg_x     = ggml_nelements(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context &       ctx,
-                                             wgpu::CommandEncoder & encoder,
-                                             ggml_tensor *          src,
-                                             ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool is_top_k = dst->op == GGML_OP_TOP_K;
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0               = src,
-        .src1               = nullptr,
-        .dst                = dst,
-        .max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-        .wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size        = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+    shader_lib_ctx.wg_mem_limit_bytes = ctx->global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
 
     webgpu_pipeline argsort_pipeline = ctx->shader_lib->get_argsort_pipeline(shader_lib_ctx);
     auto * argsort_decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(argsort_pipeline.context.get());
@@ -2438,10 +2667,7 @@ static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context &       ctx,
     const uint32_t stride_idx2 = out_ne0 * (uint32_t) dst->ne[1];
     const uint32_t stride_idx3 = stride_idx2 * (uint32_t) dst->ne[2];
 
-    std::vector<webgpu_pipeline>                   pipelines;
-    std::vector<std::vector<uint32_t>>             params_list;
-    std::vector<std::vector<wgpu::BindGroupEntry>> entries_list;
-    std::vector<std::pair<uint32_t, uint32_t>>     workgroups_list;
+    std::vector<webgpu_dispatch_desc> dispatches;
 
     const uint32_t init_offset       = start_in_tmp ? offset_tmp : offset_dst;
     const size_t   init_align_offset = start_in_tmp ? tmp_offset : ggml_webgpu_tensor_align_offset(ctx, dst);
@@ -2458,21 +2684,16 @@ static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context &       ctx,
     const uint32_t                    wg_x_init = std::min(total_wg_init, max_wg);
     const uint32_t                    wg_y_init = CEIL_DIV(total_wg_init, wg_x_init);
     std::vector<wgpu::BindGroupEntry> init_entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = init_align_offset, .size = init_binding_size }
+        ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+        ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), init_align_offset, init_binding_size)
     };
 
-    pipelines.push_back(argsort_pipeline);
-    params_list.push_back(std::move(init_params));
-    entries_list.push_back(std::move(init_entries));
-    workgroups_list.push_back({ wg_x_init, wg_y_init });
+    dispatches.push_back({
+        argsort_pipeline, std::move(init_params), std::move(init_entries), { wg_x_init, wg_y_init }
+    });
 
     if (merge_passes == 0) {
-        return ggml_backend_webgpu_build_multi(ctx->global_ctx, ctx->param_arena, encoder, pipelines, params_list,
-                                               entries_list, workgroups_list);
+        return ggml_backend_webgpu_build_multi(ctx, dispatches);
     }
 
     bool     in_is_tmp = start_in_tmp;
@@ -2513,65 +2734,45 @@ static webgpu_encoded_op ggml_webgpu_argsort(webgpu_context &       ctx,
                                                nrows };
 
         std::vector<wgpu::BindGroupEntry> merge_entries = {
-            { .binding = 0,
-             .buffer  = ggml_webgpu_tensor_buf(src),
-             .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-             .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-            { .binding = 1, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_in, .size = size_in },
-            { .binding = 2, .buffer = ggml_webgpu_tensor_buf(dst), .offset = align_out, .size = size_out }
+            ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+            ggml_webgpu_make_bind_group_entry(1, ggml_webgpu_tensor_buf(dst), align_in, size_in),
+            ggml_webgpu_make_bind_group_entry(2, ggml_webgpu_tensor_buf(dst), align_out, size_out)
         };
 
         const uint32_t total_wg_merge = nm * nrows;
         const uint32_t wg_x_merge     = std::min(total_wg_merge, max_wg);
         const uint32_t wg_y_merge     = CEIL_DIV(total_wg_merge, wg_x_merge);
-        workgroups_list.push_back({ wg_x_merge, wg_y_merge });
-        pipelines.push_back(argsort_merge_pipeline);
-        params_list.push_back(std::move(merge_params));
-        entries_list.push_back(std::move(merge_entries));
+        dispatches.push_back({
+            argsort_merge_pipeline, std::move(merge_params), std::move(merge_entries), { wg_x_merge, wg_y_merge }
+        });
 
         len <<= 1;
         in_is_tmp = !in_is_tmp;
     }
 
-    return ggml_backend_webgpu_build_multi(ctx->global_ctx, ctx->param_arena, encoder, pipelines, params_list,
-                                           entries_list, workgroups_list);
+    return ggml_backend_webgpu_build_multi(ctx, dispatches);
 }
 
-static webgpu_encoded_op ggml_webgpu_cumsum(webgpu_context &       ctx,
-                                            wgpu::CommandEncoder & encoder,
-                                            ggml_tensor *          src,
-                                            ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_cumsum(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
                                      (uint32_t) src->ne[0] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0        = src,
-        .src1        = nullptr,
-        .dst         = dst,
-        .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup,
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.src1                           = nullptr;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_cumsum_pipeline(shader_lib_ctx);
     uint32_t        wg_x     = ggml_nrows(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
 }
 
-static webgpu_encoded_op ggml_webgpu_sum_rows(webgpu_context &       ctx,
-                                              wgpu::CommandEncoder & encoder,
-                                              ggml_tensor *          src,
-                                              ggml_tensor *          dst) {
+static webgpu_encoded_op ggml_webgpu_sum_rows(webgpu_context & ctx, ggml_tensor * src, ggml_tensor * dst) {
     bool                  total_sum = dst->op == GGML_OP_SUM;
     std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
                                      (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
@@ -2582,38 +2783,105 @@ static webgpu_encoded_op ggml_webgpu_sum_rows(webgpu_context &       ctx,
                                      total_sum ? 1 : (uint32_t) src->ne[1],
                                      total_sum ? 1 : (uint32_t) src->ne[2] };
 
-    std::vector<wgpu::BindGroupEntry> entries = {
-        { .binding = 0,
-         .buffer  = ggml_webgpu_tensor_buf(src),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, src),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, src) },
-        { .binding = 1,
-         .buffer  = ggml_webgpu_tensor_buf(dst),
-         .offset  = ggml_webgpu_tensor_align_offset(ctx, dst),
-         .size    = ggml_webgpu_tensor_binding_size(ctx, dst) }
-    };
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
 
-    ggml_webgpu_shader_lib_context shader_lib_ctx = {
-        .src0 = src, .dst = dst, .max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup
-    };
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
 
     webgpu_pipeline pipeline = ctx->shader_lib->get_sum_rows_pipeline(shader_lib_ctx);
 
     uint32_t wg_x = total_sum ? 1 : ggml_nrows(dst);
-    return ggml_backend_webgpu_build(ctx->global_ctx, ctx->param_arena, encoder, pipeline, params, entries, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x);
+}
+
+static bool ggml_webgpu_can_fuse_rms_norm_mul(const struct ggml_cgraph * cgraph, int node_idx) {
+    if (!ggml_can_fuse(cgraph, node_idx, { GGML_OP_RMS_NORM, GGML_OP_MUL })) {
+        return false;
+    }
+
+    // additional constraints specific to this fusion
+    const ggml_tensor * rms_norm = cgraph->nodes[node_idx];
+    const ggml_tensor * mul      = cgraph->nodes[node_idx + 1];
+
+    GGML_ASSERT(rms_norm->src[0]->type == GGML_TYPE_F32);
+    GGML_ASSERT(rms_norm->type == GGML_TYPE_F32);
+    // rms_norm only supports f32
+    if (mul->src[0]->type != GGML_TYPE_F32 || mul->src[1]->type != GGML_TYPE_F32 || mul->type != GGML_TYPE_F32) {
+        return false;
+    }
+    // if rms_norm is the B operand, then we don't handle broadcast
+    if (rms_norm == mul->src[1] && !ggml_are_same_shape(mul->src[0], rms_norm)) {
+        return false;
+    }
+    // rms_norm shader assumes contiguous rows
+    if (!ggml_is_contiguous_rows(mul->src[0]) || !ggml_is_contiguous_rows(mul->src[1])) {
+        return false;
+    }
+
+    return true;
+}
+
+static webgpu_encoded_op ggml_webgpu_upscale(webgpu_context ctx, ggml_tensor * src, ggml_tensor * dst) {
+    const uint32_t        mode_flags = (uint32_t) ggml_get_op_params_i32(dst, 0);
+    std::vector<uint32_t> params = { (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, src) / ggml_type_size(src->type)),
+                                     (uint32_t) (ggml_webgpu_tensor_misalignment(ctx, dst) / ggml_type_size(dst->type)),
+
+                                     (uint32_t) (src->nb[0] / ggml_type_size(src->type)),
+                                     (uint32_t) (src->nb[1] / ggml_type_size(src->type)),
+                                     (uint32_t) (src->nb[2] / ggml_type_size(src->type)),
+                                     (uint32_t) (src->nb[3] / ggml_type_size(src->type)),
+
+                                     (uint32_t) (dst->nb[0] / ggml_type_size(dst->type)),
+                                     (uint32_t) (dst->nb[1] / ggml_type_size(dst->type)),
+                                     (uint32_t) (dst->nb[2] / ggml_type_size(dst->type)),
+                                     (uint32_t) (dst->nb[3] / ggml_type_size(dst->type)),
+
+                                     (uint32_t) src->ne[0],
+                                     (uint32_t) src->ne[1],
+                                     (uint32_t) src->ne[2],
+                                     (uint32_t) src->ne[3],
+
+                                     (uint32_t) dst->ne[0],
+                                     (uint32_t) dst->ne[1],
+                                     (uint32_t) dst->ne[2],
+                                     (uint32_t) dst->ne[3],
+
+                                     mode_flags };
+
+    std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src),
+                                                  ggml_webgpu_make_tensor_bind_group_entry(ctx, 1, dst) };
+
+    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+    shader_lib_ctx.src0                           = src;
+    shader_lib_ctx.dst                            = dst;
+    shader_lib_ctx.max_wg_size = ctx->global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+
+    webgpu_pipeline pipeline  = ctx->shader_lib->get_upscale_pipeline(shader_lib_ctx);
+    auto *          decisions = static_cast<ggml_webgpu_generic_shader_decisions *>(pipeline.context.get());
+    uint32_t        total_wg  = CEIL_DIV((uint32_t) ggml_nelements(dst), decisions->wg_size);
+    uint32_t        wg_x = std::min(ctx->global_ctx->capabilities.limits.maxComputeWorkgroupsPerDimension, total_wg);
+    uint32_t        wg_y = CEIL_DIV(total_wg, wg_x);
+    return ggml_backend_webgpu_build(ctx, pipeline, params, entries, wg_x, wg_y);
 }
 
 // Returns the encoded command, or std::nullopt if the operation is a no-op
-static std::optional<webgpu_encoded_op> ggml_webgpu_encode_node(webgpu_context         ctx,
-                                                                wgpu::CommandEncoder & encoder,
-                                                                ggml_tensor *          node) {
+static std::optional<webgpu_encoded_op> ggml_webgpu_encode(webgpu_context ctx,
+                                                           ggml_cgraph *  cgraph,
+                                                           int            node_idx,
+                                                           int &          num_encoded_ops) {
+    ggml_tensor ** nodes = cgraph->nodes;
+    ggml_tensor *  node  = nodes[node_idx];
+
     if (ggml_is_empty(node)) {
         return std::nullopt;
     }
     if ((node->flags & GGML_TENSOR_FLAG_COMPUTE) == 0) {
         return std::nullopt;
     }
-    WEBGPU_LOG_DEBUG("ggml_webgpu_encode_node(" << node << ", " << ggml_op_name(node->op) << ")");
+    WEBGPU_LOG_DEBUG("ggml_webgpu_encode(" << node << ", " << ggml_op_name(node->op) << ")");
 
     ggml_tensor * src0 = node->src[0];
     ggml_tensor * src1 = node->src[1];
@@ -2629,41 +2897,47 @@ static std::optional<webgpu_encoded_op> ggml_webgpu_encode_node(webgpu_context
             return std::nullopt;
         case GGML_OP_CPY:
         case GGML_OP_CONT:
-            return ggml_webgpu_cpy(ctx, encoder, src0, node);
+            return ggml_webgpu_cpy(ctx, src0, node);
         case GGML_OP_SET:
-            return ggml_webgpu_set(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_set(ctx, src0, src1, node);
         case GGML_OP_SET_ROWS:
-            return ggml_webgpu_set_rows(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_set_rows(ctx, src0, src1, node);
         case GGML_OP_GET_ROWS:
-            return ggml_webgpu_get_rows(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_get_rows(ctx, src0, src1, node);
         case GGML_OP_MUL_MAT:
-            return ggml_webgpu_mul_mat(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_mul_mat(ctx, src0, src1, node);
+        case GGML_OP_MUL_MAT_ID:
+            return ggml_webgpu_mul_mat_id(ctx, src0, src1, src2, node);
         case GGML_OP_FLASH_ATTN_EXT:
-#ifndef __EMSCRIPTEN__
-            return ggml_webgpu_flash_attn(ctx, encoder, src0, src1, src2, node->src[3], node->src[4], node);
-#else
-            return std::nullopt;
-#endif
+            return ggml_webgpu_flash_attn(ctx, src0, src1, src2, node->src[3], node->src[4], node);
         case GGML_OP_ADD:
         case GGML_OP_SUB:
         case GGML_OP_MUL:
         case GGML_OP_DIV:
-            return ggml_webgpu_binary_op(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_binary_op(ctx, src0, src1, node);
         case GGML_OP_CONCAT:
-            return ggml_webgpu_concat(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_concat(ctx, src0, src1, node);
         case GGML_OP_REPEAT:
-            return ggml_webgpu_repeat(ctx, encoder, src0, node);
+            return ggml_webgpu_repeat(ctx, src0, node);
         case GGML_OP_RMS_NORM:
+            if (ggml_webgpu_can_fuse_rms_norm_mul(cgraph, node_idx)) {
+                num_encoded_ops        = 2;
+                ggml_tensor * mul_node = nodes[node_idx + 1];
+                return ggml_webgpu_rms_norm_mul(ctx, src0, node, mul_node->src[0], mul_node->src[1], mul_node);
+            } else {
+                return ggml_webgpu_row_norm(ctx, src0, node);
+            }
+        case GGML_OP_NORM:
         case GGML_OP_L2_NORM:
-            return ggml_webgpu_row_norm(ctx, encoder, src0, node);
+            return ggml_webgpu_row_norm(ctx, src0, node);
         case GGML_OP_ROPE:
-            return ggml_webgpu_rope(ctx, encoder, src0, src1, src2, node);
+            return ggml_webgpu_rope(ctx, src0, src1, src2, node);
         case GGML_OP_GLU:
-            return ggml_webgpu_glu(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_glu(ctx, src0, src1, node);
         case GGML_OP_SCALE:
-            return ggml_webgpu_scale(ctx, encoder, src0, node);
+            return ggml_webgpu_scale(ctx, src0, node);
         case GGML_OP_SOFT_MAX:
-            return ggml_webgpu_soft_max(ctx, encoder, src0, src1, src2, node);
+            return ggml_webgpu_soft_max(ctx, src0, src1, src2, node);
         case GGML_OP_UNARY:
         case GGML_OP_CLAMP:
         case GGML_OP_FILL:
@@ -2674,32 +2948,96 @@ static std::optional<webgpu_encoded_op> ggml_webgpu_encode_node(webgpu_context
         case GGML_OP_COS:
         case GGML_OP_DIAG:
         case GGML_OP_TRI:
-            return ggml_webgpu_unary_op(ctx, encoder, src0, node);
+            return ggml_webgpu_unary_op(ctx, src0, node);
         case GGML_OP_SOLVE_TRI:
-            return ggml_webgpu_solve_tri(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_solve_tri(ctx, src0, src1, node);
         case GGML_OP_SSM_CONV:
-            return ggml_webgpu_ssm_conv(ctx, encoder, src0, src1, node);
+            return ggml_webgpu_ssm_conv(ctx, src0, src1, node);
+        case GGML_OP_SSM_SCAN:
+            return ggml_webgpu_ssm_scan(ctx, src0, src1, src2, node->src[3], node->src[4], node->src[5], node->src[6],
+                                        node);
         case GGML_OP_GATED_DELTA_NET:
-            return ggml_webgpu_gated_delta_net(ctx, encoder, src0, src1, src2, node->src[3], node->src[4], node->src[5],
-                                               node);
+            return ggml_webgpu_gated_delta_net(ctx, src0, src1, src2, node->src[3], node->src[4], node->src[5], node);
         case GGML_OP_PAD:
-            return ggml_webgpu_pad(ctx, encoder, src0, node);
+            return ggml_webgpu_pad(ctx, src0, node);
         case GGML_OP_ARGMAX:
-            return ggml_webgpu_argmax(ctx, encoder, src0, node);
+            return ggml_webgpu_argmax(ctx, src0, node);
         case GGML_OP_ARGSORT:
         case GGML_OP_TOP_K:
             // we reuse the same argsort implementation for top_k
-            return ggml_webgpu_argsort(ctx, encoder, src0, node);
+            return ggml_webgpu_argsort(ctx, src0, node);
         case GGML_OP_CUMSUM:
-            return ggml_webgpu_cumsum(ctx, encoder, src0, node);
+            return ggml_webgpu_cumsum(ctx, src0, node);
         case GGML_OP_SUM:
         case GGML_OP_SUM_ROWS:
-            return ggml_webgpu_sum_rows(ctx, encoder, src0, node);
+            return ggml_webgpu_sum_rows(ctx, src0, node);
+        case GGML_OP_CONV_2D:
+            return ggml_webgpu_conv_2d(ctx, src0, src1, node);
+        case GGML_OP_IM2COL:
+            return ggml_webgpu_im2col(ctx, src0, src1, node);
+        case GGML_OP_UPSCALE:
+            return ggml_webgpu_upscale(ctx, src0, node);
         default:
             return std::nullopt;
     }
 }
 
+#ifdef GGML_WEBGPU_GPU_PROFILE
+static void ggml_backend_webgpu_collect_profile_results(webgpu_context &                 ctx,
+                                                        const std::vector<std::string> & pipeline_names,
+                                                        uint32_t &                       num_inflight_batches) {
+    if (pipeline_names.empty()) {
+        return;
+    }
+
+    wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    encoder.ResolveQuerySet(ctx->profile_timestamp_query_set, 0, ctx->profile_timestamp_query_count,
+                            ctx->profile_timestamp_dev_buf, 0);
+    encoder.CopyBufferToBuffer(ctx->profile_timestamp_dev_buf, 0, ctx->profile_timestamp_host_buf, 0,
+                               ctx->profile_timestamp_query_count * sizeof(uint64_t));
+
+    wgpu::CommandBuffer profile_commands = encoder.Finish();
+    ggml_backend_webgpu_submit_commands(ctx, profile_commands, num_inflight_batches);
+
+    const size_t mapped_size = ctx->profile_timestamp_query_count * sizeof(uint64_t);
+    GGML_ASSERT(ctx->profile_timestamp_query_count == 2 * pipeline_names.size());
+
+    ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->profile_timestamp_host_buf, wgpu::MapMode::Read, 0,
+                                   mapped_size);
+    const uint64_t * ts_data = (const uint64_t *) ctx->profile_timestamp_host_buf.GetConstMappedRange(0, mapped_size);
+
+    for (size_t i = 0; i < pipeline_names.size(); ++i) {
+        // WebGPU timestamps are in ns; convert to ms.
+        const double elapsed_ms = double(ts_data[2 * i + 1] - ts_data[2 * i]) * 1e-6;
+        ctx->shader_gpu_time_ms[pipeline_names[i]] += elapsed_ms;
+    }
+
+    ctx->profile_timestamp_host_buf.Unmap();
+}
+#endif
+
+// Don't bother checking set_rows index overflow for now, since practically the WebGPU doesn't need to support
+// models that would require it right now.
+static void ggml_backend_webgpu_check_set_rows(webgpu_context & ctx, uint32_t & num_inflight_batches) {
+#ifdef GGML_WEBGPU_CHECK_SET_ROWS
+    wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0,
+                               ctx->set_rows_host_error_buf.GetSize());
+    wgpu::CommandBuffer commands = encoder.Finish();
+    ggml_backend_webgpu_submit_commands(ctx, commands, num_inflight_batches);
+    ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0,
+                                   ctx->set_rows_host_error_buf.GetSize());
+    const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange();
+    if (*error_data) {
+        GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
+    }
+    ctx->set_rows_host_error_buf.Unmap();
+#else
+    GGML_UNUSED(ctx);
+    GGML_UNUSED(num_inflight_batches);
+#endif
+}
+
 static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_graph_compute(" << cgraph->n_nodes << " nodes)");
 
@@ -2709,86 +3047,185 @@ static ggml_status ggml_backend_webgpu_graph_compute(ggml_backend_t backend, str
     WEBGPU_CPU_PROFILE_TOTAL_START(graph_compute);
 
     std::vector<webgpu_encoded_op> commands;
+
+    uint32_t num_batched_kernels  = 0;
+    uint32_t num_inflight_batches = 0;
+    bool     contains_set_rows    = false;
+    bool     batch_compute_passes = true;
+    int      num_encoded_ops      = 1;
+    int      node_idx             = 0;
+
 #ifdef GGML_WEBGPU_GPU_PROFILE
-    std::vector<wgpu::FutureWaitInfo> profile_futures;
+    ctx->profile_timestamp_query_count = 0;
+    batch_compute_passes               = false;
+    std::vector<std::string> profile_pipeline_names;
 #endif
-    uint32_t             num_batched_kernels = 0;
-    bool                 contains_set_rows   = false;
-    wgpu::CommandEncoder batch_encoder       = ctx->global_ctx->device.CreateCommandEncoder();
 
-    for (int i = 0; i < cgraph->n_nodes; i++) {
-        if (cgraph->nodes[i]->op == GGML_OP_SET_ROWS) {
+    ctx->active_command_encoder = ctx->global_ctx->device.CreateCommandEncoder();
+    if (batch_compute_passes) {
+        ctx->active_compute_pass = ctx->active_command_encoder.BeginComputePass();
+    }
+
+    while (node_idx < cgraph->n_nodes) {
+        if (cgraph->nodes[node_idx]->op == GGML_OP_SET_ROWS) {
             contains_set_rows = true;
         }
-        if (auto cmd = ggml_webgpu_encode_node(ctx, batch_encoder, cgraph->nodes[i])) {
+        if (auto cmd = ggml_webgpu_encode(ctx, cgraph, node_idx, num_encoded_ops)) {
             commands.push_back(*cmd);
             num_batched_kernels += cmd.value().num_kernels;
+#ifdef GGML_WEBGPU_GPU_PROFILE
+            profile_pipeline_names.insert(profile_pipeline_names.end(), cmd->pipeline_names.begin(),
+                                          cmd->pipeline_names.end());
+#endif
         }
 
-        if (num_batched_kernels >= WEBGPU_COMMAND_SUBMIT_BATCH_SIZE) {
+        if (num_batched_kernels >= ctx->global_ctx->command_submit_batch_size) {
+            if (ctx->active_compute_pass) {
+                ctx->active_compute_pass.End();
+            }
             num_batched_kernels                = 0;
-            wgpu::CommandBuffer batch_commands = batch_encoder.Finish();
-            ctx->global_ctx->queue.Submit(1, &batch_commands);
-#ifdef GGML_WEBGPU_GPU_PROFILE
-            ggml_backend_webgpu_collect_profile_futures(ctx->global_ctx, commands, profile_futures);
-#endif
+            wgpu::CommandBuffer batch_commands = ctx->active_command_encoder.Finish();
+            ggml_backend_webgpu_submit_commands(ctx, batch_commands, num_inflight_batches);
+
+            // reset state for next batch
+            ctx->active_command_encoder = ctx->global_ctx->device.CreateCommandEncoder();
+            if (batch_compute_passes) {
+                ctx->active_compute_pass = ctx->active_command_encoder.BeginComputePass();
+            }
             ctx->param_arena.reset();
             commands.clear();
-            batch_encoder = ctx->global_ctx->device.CreateCommandEncoder();
         }
+
+        node_idx += num_encoded_ops;
+        num_encoded_ops = 1;
     }
-    if (!commands.empty()) {
-        wgpu::CommandBuffer batch_commands = batch_encoder.Finish();
-        ctx->global_ctx->queue.Submit(1, &batch_commands);
-#ifdef GGML_WEBGPU_GPU_PROFILE
-        ggml_backend_webgpu_collect_profile_futures(ctx->global_ctx, commands, profile_futures);
-#endif
+
+    if (ctx->active_compute_pass) {
+        ctx->active_compute_pass.End();
+        ctx->active_compute_pass = nullptr;
+    }
+
+    if (num_batched_kernels > 0) {
+        wgpu::CommandBuffer batch_commands = ctx->active_command_encoder.Finish();
+        ggml_backend_webgpu_submit_commands(ctx, batch_commands, num_inflight_batches);
         ctx->param_arena.reset();
         commands.clear();
     }
+    ctx->active_command_encoder = nullptr;
+
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    ggml_backend_webgpu_collect_profile_results(ctx, profile_pipeline_names, num_inflight_batches);
+#endif
 
-    // If there are SET_ROWS operations in this graph, copy the error buffers to the host for checking.
     if (contains_set_rows) {
-        wgpu::CommandEncoder encoder = ctx->global_ctx->device.CreateCommandEncoder();
-        encoder.CopyBufferToBuffer(ctx->set_rows_dev_error_buf, 0, ctx->set_rows_host_error_buf, 0,
-                                   ctx->set_rows_host_error_buf.GetSize());
-        wgpu::CommandBuffer set_rows_commands = encoder.Finish();
-        ctx->global_ctx->queue.Submit(1, &set_rows_commands);
+        ggml_backend_webgpu_check_set_rows(ctx, num_inflight_batches);
     }
 
-    ggml_backend_webgpu_wait_queue(ctx->global_ctx);
+    WEBGPU_CPU_PROFILE_TOTAL_END(graph_compute, ctx->global_ctx);
+    return GGML_STATUS_SUCCESS;
+}
+
+struct ggml_backend_webgpu_event_context {
+    webgpu_global_context global_ctx;
+    wgpu::Future          future;
+    bool                  recorded = false;
+};
 
-    if (contains_set_rows) {
-        ggml_backend_webgpu_map_buffer(ctx->global_ctx, ctx->set_rows_host_error_buf, wgpu::MapMode::Read, 0,
-                                       ctx->set_rows_host_error_buf.GetSize());
-        const uint32_t * error_data = (const uint32_t *) ctx->set_rows_host_error_buf.GetConstMappedRange();
-        if (*error_data) {
-            GGML_ABORT("ggml_webgpu: SET_ROWS index > 2^32, unsupported.");
+static ggml_backend_event_t ggml_backend_webgpu_device_event_new(ggml_backend_dev_t device) {
+    ggml_backend_webgpu_device_context * dev_ctx = (ggml_backend_webgpu_device_context *) device->context;
+
+    auto * event_ctx      = new ggml_backend_webgpu_event_context();
+    event_ctx->global_ctx = dev_ctx->webgpu_global_ctx;
+
+    auto * event   = new ggml_backend_event;
+    event->device  = device;
+    event->context = event_ctx;
+    return event;
+}
+
+static void ggml_backend_webgpu_device_event_free(ggml_backend_dev_t dev, ggml_backend_event_t event) {
+    GGML_UNUSED(dev);
+    delete static_cast<ggml_backend_webgpu_event_context *>(event->context);
+    delete event;
+}
+
+static void ggml_backend_webgpu_device_event_synchronize(ggml_backend_dev_t dev, ggml_backend_event_t event) {
+    GGML_UNUSED(dev);
+    ggml_backend_webgpu_event_context * event_ctx = (ggml_backend_webgpu_event_context *) event->context;
+    if (!event_ctx->recorded) {
+        return;
+    }
+    wgpu::WaitStatus status =
+        event_ctx->global_ctx->instance.WaitAny(event_ctx->future, WEBGPU_RUNTIME_WAIT_TIMEOUT_NS);
+    if (status == wgpu::WaitStatus::TimedOut) {
+        GGML_ABORT("ggml_webgpu: event_synchronize timed out after %u ms\n", WEBGPU_RUNTIME_WAIT_TIMEOUT_MS);
+    }
+    event_ctx->recorded = false;
+}
+
+static void ggml_backend_webgpu_event_record(ggml_backend_t backend, ggml_backend_event_t event) {
+    ggml_backend_webgpu_context *       backend_ctx = (ggml_backend_webgpu_context *) backend->context;
+    ggml_backend_webgpu_event_context * event_ctx   = (ggml_backend_webgpu_event_context *) event->context;
+
+    event_ctx->future = backend_ctx->webgpu_ctx->global_ctx->queue.OnSubmittedWorkDone(
+        wgpu::CallbackMode::AllowSpontaneous, [](wgpu::QueueWorkDoneStatus, wgpu::StringView) {});
+    event_ctx->recorded = true;
+}
+
+static void ggml_backend_webgpu_event_wait(ggml_backend_t backend, ggml_backend_event_t event) {
+    GGML_UNUSED(backend);
+    ggml_backend_webgpu_device_event_synchronize(nullptr, event);
+}
+
+static void ggml_backend_webgpu_set_tensor_async(ggml_backend_t backend,
+                                                 ggml_tensor *  tensor,
+                                                 const void *   data,
+                                                 size_t         offset,
+                                                 size_t         size) {
+    GGML_UNUSED(backend);
+    auto * buf_ctx      = (ggml_backend_webgpu_buffer_context *) tensor->buffer->context;
+    size_t total_offset = ggml_webgpu_tensor_offset(tensor) + offset;
+
+    // Write aligned portion
+    buf_ctx->global_ctx->queue.WriteBuffer(buf_ctx->buffer, total_offset, data, (size / 4) * 4);
+
+    if (size % 4 != 0) {
+        // If size is not a multiple of 4, we need to memset the remaining bytes
+        size_t remaining_size = size % 4;
+
+        // pack the remaining bytes into a uint32_t
+        uint32_t val32 = 0;
+
+        for (size_t i = 0; i < remaining_size; i++) {
+            ((uint8_t *) &val32)[i] = ((const uint8_t *) data)[size - remaining_size + i];
         }
-        ctx->set_rows_host_error_buf.Unmap();
+        // memset the remaining bytes
+        ggml_backend_webgpu_buffer_memset(buf_ctx->global_ctx, buf_ctx->buffer, val32,
+                                          total_offset + (size - remaining_size), remaining_size);
     }
+}
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    ggml_backend_webgpu_wait_profile_futures(ctx->global_ctx, profile_futures);
-#endif
-    WEBGPU_CPU_PROFILE_TOTAL_END(graph_compute, ctx->global_ctx);
-    return GGML_STATUS_SUCCESS;
+static void ggml_backend_webgpu_synchronize(ggml_backend_t backend) {
+    ggml_backend_webgpu_context * backend_ctx = (ggml_backend_webgpu_context *) backend->context;
+    ggml_backend_webgpu_wait_queue(backend_ctx->webgpu_ctx->global_ctx);
 }
 
 static ggml_backend_i ggml_backend_webgpu_i = {
     /* .get_name                = */ ggml_backend_webgpu_name,
     /* .free                    = */ ggml_backend_webgpu_free,
-    /* .set_tensor_async        = */ NULL,
+    /* .set_tensor_async        = */ ggml_backend_webgpu_set_tensor_async,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
-    /* .synchronize             = */ NULL,
+    /* .synchronize             = */ ggml_backend_webgpu_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
     /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_webgpu_graph_compute,
-    /* .event_record            = */ NULL,
-    /* .event_wait              = */ NULL,
+    /* .event_record            = */ ggml_backend_webgpu_event_record,
+    /* .event_wait              = */ ggml_backend_webgpu_event_wait,
     /* .graph_optimize          = */ NULL,
 };
 
@@ -2829,7 +3266,7 @@ static void ggml_backend_webgpu_buffer_memset_tensor(ggml_backend_buffer_t buffe
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_buffer_memset_tensor(" << buf_ctx->label << ", " << tensor << ", " << value
                                                                  << ", " << offset << ", " << size << ")");
 
-    size_t total_offset = webgpu_tensor_offset(tensor) + tensor->view_offs + offset;
+    size_t total_offset = ggml_webgpu_tensor_offset(tensor) + offset;
 
     // This is a trick to set all bytes of a u32 to the same 1 byte value.
     uint32_t val32 = (uint32_t) value * 0x01010101;
@@ -2848,7 +3285,7 @@ static void ggml_backend_webgpu_buffer_set_tensor(ggml_backend_buffer_t buffer,
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_buffer_set_tensor(" << buf_ctx->label << ", " << tensor << ", " << data
                                                               << ", " << offset << ", " << size << ")");
 
-    size_t total_offset = webgpu_tensor_offset(tensor) + tensor->view_offs + offset;
+    size_t total_offset = ggml_webgpu_tensor_offset(tensor) + offset;
 
     buf_ctx->global_ctx->queue.WriteBuffer(buf_ctx->buffer, total_offset, data, (size / 4) * 4);
 
@@ -2880,7 +3317,7 @@ static void ggml_backend_webgpu_buffer_get_tensor(ggml_backend_buffer_t buffer,
                                                               << ", " << offset << ", " << size << ")");
     wgpu::Device device = buf_ctx->global_ctx->device;
 
-    size_t total_offset = webgpu_tensor_offset(tensor) + tensor->view_offs + offset;
+    size_t total_offset = ggml_webgpu_tensor_offset(tensor) + offset;
 
     size_t final_size = size;
     if (size % 4 != 0) {
@@ -2937,6 +3374,8 @@ static ggml_backend_buffer_i ggml_backend_webgpu_buffer_interface = {
     /* .memset_tensor   = */ ggml_backend_webgpu_buffer_memset_tensor,
     /* .set_tensor      = */ ggml_backend_webgpu_buffer_set_tensor,
     /* .get_tensor      = */ ggml_backend_webgpu_buffer_get_tensor,
+    /* .set_tensor_2d   = */ NULL,
+    /* .get_tensor_2d   = */ NULL,
     /* .cpy_tensor      = */ NULL,  // TODO: optional, implement this
     /* .clear           = */ ggml_backend_webgpu_buffer_clear,
     /* .reset           = */ NULL,  // TODO: optional, think it coordinates with
@@ -3013,40 +3452,30 @@ static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer
                 const ggml_tensor * mask  = tensor->src[3];
                 const ggml_tensor * sinks = tensor->src[4];
                 if (Q && K && V) {
-                    GGML_UNUSED(sinks);
-                    const bool kv_direct = (K->type == GGML_TYPE_F16) &&
-                                           (Q->ne[0] % ctx->webgpu_global_ctx->capabilities.sg_mat_k == 0) &&
-                                           (K->ne[1] % GGML_WEBGPU_KV_SEQ_PAD == 0);
-                    const bool kv_vec_type_supported =
-                        K->type == GGML_TYPE_F16 || K->type == GGML_TYPE_Q4_0 || K->type == GGML_TYPE_Q8_0;
-                    const bool use_vec = (Q->ne[1] < 20) && (Q->ne[0] % 32 == 0) && (V->ne[0] % 4 == 0) &&
-                                         kv_vec_type_supported && (V->type == K->type);
-                    if (use_vec) {
-                        const uint32_t sg_mat_m = ctx->webgpu_global_ctx->capabilities.sg_mat_m;
-                        const uint32_t sg_mat_n = ctx->webgpu_global_ctx->capabilities.sg_mat_n;
-                        const size_t   limit_bytes =
-                            ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
-                        const size_t q_tile       = sg_mat_m;
-                        const size_t base_q_bytes = (Q->ne[0] + V->ne[0]) * q_tile * GGML_WEBGPU_F16_SIZE_BYTES +
-                                                    2 * q_tile * GGML_WEBGPU_F32_SIZE_BYTES;
-                        size_t bytes_per_kv = 0;
-                        if (!kv_direct) {
-                            bytes_per_kv += std::max(Q->ne[0], V->ne[0]);
-                        }
-                        if (mask != nullptr) {
-                            bytes_per_kv += q_tile;
-                        }
-                        bytes_per_kv += q_tile;
-                        bytes_per_kv *= GGML_WEBGPU_F16_SIZE_BYTES;
-                        uint32_t kv_tile = ((limit_bytes - base_q_bytes) / bytes_per_kv / sg_mat_n) * sg_mat_n;
-                        kv_tile          = std::max(sg_mat_n, std::min(32u, kv_tile));
-                        kv_tile          = (kv_tile / sg_mat_n) * sg_mat_n;
-                        if (kv_direct) {
-                            GGML_ASSERT(kv_tile <= GGML_WEBGPU_KV_SEQ_PAD);
-                            while (GGML_WEBGPU_KV_SEQ_PAD % kv_tile != 0) {
-                                kv_tile -= sg_mat_n;
-                            }
-                        }
+                    ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+                    shader_lib_ctx.src0                           = const_cast<ggml_tensor *>(Q);
+                    shader_lib_ctx.src1                           = const_cast<ggml_tensor *>(K);
+                    shader_lib_ctx.src2                           = const_cast<ggml_tensor *>(V);
+                    shader_lib_ctx.src3                           = const_cast<ggml_tensor *>(mask);
+                    shader_lib_ctx.src4                           = const_cast<ggml_tensor *>(sinks);
+                    shader_lib_ctx.dst                            = const_cast<ggml_tensor *>(tensor);
+                    shader_lib_ctx.max_wg_size =
+                        ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+                    shader_lib_ctx.wg_mem_limit_bytes =
+                        ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+                    shader_lib_ctx.supports_subgroups = ctx->webgpu_global_ctx->capabilities.supports_subgroups;
+                    shader_lib_ctx.supports_subgroup_matrix =
+                        ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix;
+                    shader_lib_ctx.sg_mat_m          = ctx->webgpu_global_ctx->capabilities.sg_mat_m;
+                    shader_lib_ctx.sg_mat_n          = ctx->webgpu_global_ctx->capabilities.sg_mat_n;
+                    shader_lib_ctx.sg_mat_k          = ctx->webgpu_global_ctx->capabilities.sg_mat_k;
+                    shader_lib_ctx.max_subgroup_size = ctx->webgpu_global_ctx->capabilities.max_subgroup_size;
+
+                    const ggml_webgpu_flash_attn_decisions decisions = ggml_webgpu_flash_attn_get_decisions(
+                        shader_lib_ctx, ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+
+                    if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+                        const uint32_t kv_tile = decisions.kv_tile;
 
                         const uint32_t vec_nwg_cap = std::max(
                             1u, std::min<uint32_t>(32u, ctx->webgpu_global_ctx->capabilities.max_subgroup_size));
@@ -3066,6 +3495,8 @@ static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer
                             const size_t   tmp_size_bytes  = ROUNDUP_POW2(
                                 (tmp_data_elems + tmp_stats_elems) * sizeof(float), WEBGPU_STORAGE_BUF_BINDING_MULT);
                             res += tmp_size_bytes + align;
+                        } else {
+                            res += WEBGPU_STORAGE_BUF_BINDING_MULT + align;
                         }
                         if (mask != nullptr) {
                             const uint32_t blk_nblk0       = CEIL_DIV((uint32_t) K->ne[1], kv_tile);
@@ -3082,6 +3513,20 @@ static size_t ggml_backend_webgpu_buffer_type_get_alloc_size(ggml_backend_buffer
                 }
             }
             break;
+        case GGML_OP_MUL_MAT_ID:
+            {
+                const ggml_tensor * src0 = tensor->src[0];
+                const ggml_tensor * src1 = tensor->src[1];
+                if (src0 && src1) {
+                    const size_t gathered_size = sizeof(uint32_t) * tensor->src[0]->ne[2] * tensor->src[1]->ne[2];
+                    const size_t gathered_count_ids_size = sizeof(uint32_t) * tensor->src[0]->ne[2];
+                    res                                  = ROUNDUP_POW2(
+                        res + gathered_size * 2 + gathered_count_ids_size +
+                            ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment * 3,
+                        WEBGPU_STORAGE_BUF_BINDING_MULT);
+                }
+            }
+            break;
         default:
             break;
     }
@@ -3137,8 +3582,9 @@ static void ggml_backend_webgpu_device_get_props(ggml_backend_dev_t dev, struct
 }
 
 static ggml_guid_t ggml_backend_webgpu_guid(void) {
-    static const char * guid_str = "__ggml_webgpu :)";
-    return reinterpret_cast<ggml_guid_t>((void *) guid_str);
+    static ggml_guid guid = { 0x67, 0xc7, 0xa4, 0xb1, 0x78, 0x74, 0x4f, 0x51,
+                              0x9d, 0x65, 0x44, 0x6d, 0xe4, 0x1b, 0x82, 0x9a };
+    return &guid;
 }
 
 static void ggml_webgpu_init_memset_pipeline(webgpu_global_context & ctx) {
@@ -3190,19 +3636,25 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
     }
 #endif
     ctx->webgpu_global_ctx->adapter.GetInfo(&info);
+    ctx->webgpu_global_ctx->command_submit_batch_size = ggml_backend_webgpu_get_command_submit_batch_size();
+    ctx->webgpu_global_ctx->max_inflight_batches      = ggml_backend_webgpu_get_max_inflight_batches();
     wgpu::SupportedFeatures features;
     ctx->webgpu_global_ctx->adapter.GetFeatures(&features);
     // we require f16 support
     GGML_ASSERT(ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::ShaderF16));
+    ctx->webgpu_global_ctx->capabilities.supports_subgroups =
+        ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::Subgroups);
 
-#ifndef __EMSCRIPTEN__
-    // Only support square f16 matrices of size 8 or 16 for now
     bool valid_subgroup_matrix_config = false;
+#ifndef __EMSCRIPTEN__
+    // Accept f16 subgroup matrix configurations (square or non-square).
+    // NVIDIA GPUs typically report square configs (e.g. 16x16x16),
+    // while Intel Xe2 GPUs report non-square configs (e.g. 8x16x16).
+    // The shaders are already parameterized to handle any M/N/K dimensions.
     if (ctx->webgpu_global_ctx->adapter.HasFeature(wgpu::FeatureName::ChromiumExperimentalSubgroupMatrix)) {
         for (size_t i = 0; i < subgroup_matrix_configs.configCount; i++) {
             const wgpu::SubgroupMatrixConfig config = subgroup_matrix_configs.configs[i];
-            if (config.M == config.N && config.N == config.K && (config.K == 8 || config.K == 16) &&
-                config.componentType == wgpu::SubgroupMatrixComponentType::F16 &&
+            if (config.componentType == wgpu::SubgroupMatrixComponentType::F16 &&
                 config.resultComponentType == wgpu::SubgroupMatrixComponentType::F16) {
                 ctx->webgpu_global_ctx->capabilities.sg_mat_m = config.M;
                 ctx->webgpu_global_ctx->capabilities.sg_mat_n = config.N;
@@ -3212,8 +3664,8 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
             }
         }
     }
-    ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix = valid_subgroup_matrix_config;
 #endif
+    ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix = valid_subgroup_matrix_config;
 
     // For subgroup matrix code to be the most efficient, we would like the subgroup size to be consistent and accurate.
     // Unfortunately, that is not possible, so we use the maximum subgroup size reported by the adapter.
@@ -3224,11 +3676,14 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
 #ifndef __EMSCRIPTEN__
     required_features.push_back(wgpu::FeatureName::ImplicitDeviceSynchronization);
     if (ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix) {
-        required_features.push_back(wgpu::FeatureName::Subgroups);
         required_features.push_back(wgpu::FeatureName::ChromiumExperimentalSubgroupMatrix);
     }
 #endif
 
+    if (ctx->webgpu_global_ctx->capabilities.supports_subgroups) {
+        required_features.push_back(wgpu::FeatureName::Subgroups);
+    }
+
 #ifdef GGML_WEBGPU_GPU_PROFILE
     required_features.push_back(wgpu::FeatureName::TimestampQuery);
 #endif
@@ -3258,12 +3713,12 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
     // Enable Dawn-specific toggles to increase native performance
     // TODO: Maybe WebGPU needs a "fast" mode where you can request compilers skip adding checks like these,
     //       only for native performance?
-    const char * const deviceEnabledToggles[]  = { "skip_validation", "disable_robustness", "disable_workgroup_init",
-                                                   "disable_polyfills_on_integer_div_and_mod" };
-    const char * const deviceDisabledToggles[] = { "timestamp_quantization" };
+    const char * const          deviceEnabledToggles[]  = { "disable_robustness", "disable_workgroup_init",
+                                                            "disable_polyfills_on_integer_div_and_mod" };
+    const char * const          deviceDisabledToggles[] = { "timestamp_quantization" };
     wgpu::DawnTogglesDescriptor deviceTogglesDesc;
     deviceTogglesDesc.enabledToggles      = deviceEnabledToggles;
-    deviceTogglesDesc.enabledToggleCount  = 4;
+    deviceTogglesDesc.enabledToggleCount  = 3;
     deviceTogglesDesc.disabledToggles     = deviceDisabledToggles;
     deviceTogglesDesc.disabledToggleCount = 1;
 
@@ -3289,14 +3744,6 @@ static bool create_webgpu_device(ggml_backend_webgpu_reg_context * ctx) {
                               "memset_params_buf");
     ctx->webgpu_global_ctx->queue = ctx->webgpu_global_ctx->device.GetQueue();
 
-#ifdef GGML_WEBGPU_GPU_PROFILE
-    // Initialize buffer pool for timestamp queries, used for profiling
-    ctx->webgpu_global_ctx->timestamp_query_buf_pool.init(
-        ctx->webgpu_global_ctx->device, WEBGPU_NUM_TIMESTAMP_QUERY_BUFS, WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
-        wgpu::BufferUsage::QueryResolve | wgpu::BufferUsage::CopySrc,
-        wgpu::BufferUsage::MapRead | wgpu::BufferUsage::CopyDst);
-#endif
-
     GGML_LOG_INFO(
         "ggml_webgpu: adapter_info: vendor_id: %u | vendor: %s | architecture: %s | device_id: %u | name: %s | "
         "device_desc: %s\n",
@@ -3310,8 +3757,10 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) {
     webgpu_context                       webgpu_ctx = std::make_shared<webgpu_context_struct>();
     webgpu_ctx->global_ctx                          = dev_ctx->webgpu_global_ctx;
     webgpu_ctx->shader_lib = std::make_unique<ggml_webgpu_shader_lib>(dev_ctx->webgpu_global_ctx->device);
-    webgpu_ctx->param_arena.init(webgpu_ctx->global_ctx->device, WEBGPU_PARAMS_BUF_SIZE_BYTES, WEBGPU_NUM_PARAM_SLOTS,
-                                 webgpu_ctx->global_ctx->capabilities.limits.minUniformBufferOffsetAlignment);
+    webgpu_ctx->param_arena.init(
+        webgpu_ctx->global_ctx->device, WEBGPU_PARAMS_BUF_SIZE_BYTES,
+        webgpu_ctx->global_ctx->command_submit_batch_size + WEBGPU_NUM_PARAM_SLOT_SAFETY_MARGIN,
+        webgpu_ctx->global_ctx->capabilities.limits.minUniformBufferOffsetAlignment);
     ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->set_rows_dev_error_buf,
                               WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
                               wgpu::BufferUsage::Storage | wgpu::BufferUsage::CopySrc, "set_rows_dev_error_buf");
@@ -3319,6 +3768,19 @@ static webgpu_context initialize_webgpu_context(ggml_backend_dev_t dev) {
                               WEBGPU_SET_ROWS_ERROR_BUF_SIZE_BYTES,
                               wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "set_rows_host_error_buf");
 
+#ifdef GGML_WEBGPU_GPU_PROFILE
+    ggml_webgpu_create_buffer(
+        webgpu_ctx->global_ctx->device, webgpu_ctx->profile_timestamp_dev_buf, WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
+        wgpu::BufferUsage::QueryResolve | wgpu::BufferUsage::CopySrc, "profile_timestamp_dev_buf");
+    ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->profile_timestamp_host_buf,
+                              WEBGPU_TIMESTAMP_QUERY_BUF_SIZE_BYTES,
+                              wgpu::BufferUsage::CopyDst | wgpu::BufferUsage::MapRead, "profile_timestamp_host_buf");
+    wgpu::QuerySetDescriptor query_set_desc = {};
+    query_set_desc.type                     = wgpu::QueryType::Timestamp;
+    query_set_desc.count                    = WEBGPU_MAX_PROFILE_QUERY_COUNT;
+    webgpu_ctx->profile_timestamp_query_set = webgpu_ctx->global_ctx->device.CreateQuerySet(&query_set_desc);
+#endif
+
 #ifdef GGML_WEBGPU_DEBUG
     // Initialize debug buffers
     ggml_webgpu_create_buffer(webgpu_ctx->global_ctx->device, webgpu_ctx->global_ctx->debug_host_buf,
@@ -3380,6 +3842,7 @@ static bool ggml_backend_webgpu_device_supports_buft(ggml_backend_dev_t dev, ggm
 
 static bool ggml_webgpu_supported_qtype(ggml_type type) {
     switch (type) {
+        case GGML_TYPE_Q1_0:
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
         case GGML_TYPE_Q5_0:
@@ -3474,6 +3937,7 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                         switch (src0->type) {
                             case GGML_TYPE_F32:
                             case GGML_TYPE_F16:
+                            case GGML_TYPE_Q1_0:
                             case GGML_TYPE_Q4_0:
                             case GGML_TYPE_Q4_1:
                             case GGML_TYPE_Q5_0:
@@ -3503,33 +3967,112 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
                 }
                 break;
             }
+        case GGML_OP_MUL_MAT_ID:
+            switch (src1->type) {
+                case GGML_TYPE_F16:
+                    supports_op |= (src0->type == GGML_TYPE_F16);
+                    break;
+                case GGML_TYPE_F32:
+                    switch (src0->type) {
+                        case GGML_TYPE_F32:
+                        case GGML_TYPE_F16:
+                        case GGML_TYPE_Q1_0:
+                        case GGML_TYPE_Q4_0:
+                        case GGML_TYPE_Q4_1:
+                        case GGML_TYPE_Q5_0:
+                        case GGML_TYPE_Q5_1:
+                        case GGML_TYPE_Q8_0:
+                        case GGML_TYPE_Q2_K:
+                        case GGML_TYPE_Q3_K:
+                        case GGML_TYPE_Q4_K:
+                        case GGML_TYPE_Q5_K:
+                        case GGML_TYPE_Q6_K:
+                        case GGML_TYPE_IQ1_S:
+                        case GGML_TYPE_IQ1_M:
+                        case GGML_TYPE_IQ2_XXS:
+                        case GGML_TYPE_IQ2_XS:
+                        case GGML_TYPE_IQ2_S:
+                        case GGML_TYPE_IQ3_XXS:
+                        case GGML_TYPE_IQ3_S:
+                        case GGML_TYPE_IQ4_NL:
+                        case GGML_TYPE_IQ4_XS:
+                            supports_op = true;
+                            break;
+                        default:
+                            break;
+                    }
+                    break;
+                default:
+                    break;
+            }
+            break;
         case GGML_OP_FLASH_ATTN_EXT:
             {
-#ifndef __EMSCRIPTEN__
-                if (!ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix) {
+                supports_op = src0->type == GGML_TYPE_F32 &&
+                              (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 ||
+                               src1->type == GGML_TYPE_Q4_0 || src1->type == GGML_TYPE_Q8_0) &&
+                              src2->type == src1->type && op->type == GGML_TYPE_F32;
+                if (!supports_op) {
                     break;
                 }
-                // Head dimensions must fit in workgroup memory with minimum tile sizes
-                size_t     limit_bytes = ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
-                const bool has_mask    = op->src[3] != nullptr;
-                const bool kv_direct   = src1->type == GGML_TYPE_F16 &&
-                                       (src0->ne[0] % ctx->webgpu_global_ctx->capabilities.sg_mat_k) == 0 &&
-                                       (src1->ne[1] % GGML_WEBGPU_KV_SEQ_PAD) == 0;
-                const size_t min_bytes = ggml_webgpu_flash_attn_wg_mem_bytes(
-                    ctx->webgpu_global_ctx->capabilities.sg_mat_m, ctx->webgpu_global_ctx->capabilities.sg_mat_n,
-                    (uint32_t) src0->ne[0], (uint32_t) src2->ne[0], has_mask, kv_direct);
-                if (min_bytes > limit_bytes) {
+                ggml_webgpu_shader_lib_context shader_lib_ctx = {};
+                shader_lib_ctx.src0                           = src0;
+                shader_lib_ctx.src1                           = src1;
+                shader_lib_ctx.src2                           = src2;
+                shader_lib_ctx.src3                           = op->src[3];
+                shader_lib_ctx.src4                           = op->src[4];
+                shader_lib_ctx.dst                            = const_cast<ggml_tensor *>(op);
+                shader_lib_ctx.supports_subgroups             = ctx->webgpu_global_ctx->capabilities.supports_subgroups;
+                shader_lib_ctx.supports_subgroup_matrix = ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix;
+                shader_lib_ctx.wg_mem_limit_bytes =
+                    ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+                shader_lib_ctx.sg_mat_m          = ctx->webgpu_global_ctx->capabilities.sg_mat_m;
+                shader_lib_ctx.sg_mat_n          = ctx->webgpu_global_ctx->capabilities.sg_mat_n;
+                shader_lib_ctx.sg_mat_k          = ctx->webgpu_global_ctx->capabilities.sg_mat_k;
+                shader_lib_ctx.max_subgroup_size = ctx->webgpu_global_ctx->capabilities.max_subgroup_size;
+
+                const ggml_webgpu_flash_attn_decisions decisions = ggml_webgpu_flash_attn_get_decisions(
+                    shader_lib_ctx, ctx->webgpu_global_ctx->capabilities.limits.minStorageBufferOffsetAlignment);
+                const size_t limit_bytes = ctx->webgpu_global_ctx->capabilities.limits.maxComputeWorkgroupStorageSize;
+                const bool   has_mask    = op->src[3] != nullptr;
+                if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_NONE) {
+                    supports_op = false;
+                    break;
+                }
+                if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_VEC) {
+                    const size_t min_bytes =
+                        ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0],
+                                                            (uint32_t) src2->ne[0], has_mask, decisions.kv_direct);
+                    if (min_bytes > limit_bytes) {
+                        supports_op = false;
+                    }
                     break;
                 }
 
-                supports_op = src0->type == GGML_TYPE_F32 &&
-                              (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 ||
-                               src1->type == GGML_TYPE_Q4_0 || src1->type == GGML_TYPE_Q8_0) &&
-                              src2->type == src1->type && op->type == GGML_TYPE_F32;
-#endif
+                if (decisions.path == GGML_WEBGPU_FLASH_ATTN_PATH_TILE) {
+                    const size_t min_bytes =
+                        ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0],
+                                                            (uint32_t) src2->ne[0], has_mask, decisions.kv_direct);
+                    if (min_bytes > limit_bytes) {
+                        supports_op = false;
+                    }
+                    break;
+                }
+
+                if (!ctx->webgpu_global_ctx->capabilities.supports_subgroup_matrix) {
+                    supports_op = false;
+                    break;
+                }
+                const size_t min_bytes =
+                    ggml_webgpu_flash_attn_wg_mem_bytes(decisions.q_tile, decisions.kv_tile, (uint32_t) src0->ne[0],
+                                                        (uint32_t) src2->ne[0], has_mask, decisions.kv_direct);
+                if (min_bytes > limit_bytes) {
+                    supports_op = false;
+                }
                 break;
             }
         case GGML_OP_RMS_NORM:
+        case GGML_OP_NORM:
         case GGML_OP_L2_NORM:
             supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32;
             break;
@@ -3602,9 +4145,22 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
         case GGML_OP_SOLVE_TRI:
             supports_op = op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32;
             break;
+        case GGML_OP_CONV_2D:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&
+                          (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16) &&
+                          (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);
+            break;
+        case GGML_OP_IM2COL:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&
+                          (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
+            break;
         case GGML_OP_SSM_CONV:
             supports_op = op->type == GGML_TYPE_F32;
             break;
+        case GGML_OP_SSM_SCAN:
+            supports_op = op->type == GGML_TYPE_F32 &&
+                          src0->ne[0] <= ctx->webgpu_global_ctx->capabilities.limits.maxComputeInvocationsPerWorkgroup;
+            break;
         case GGML_OP_GATED_DELTA_NET:
             {
                 const uint32_t s_v = (uint32_t) src2->ne[0];
@@ -3654,6 +4210,10 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
         case GGML_OP_SUM_ROWS:
             supports_op = op->type == GGML_TYPE_F32 && src0->type == op->type && ggml_is_contiguous_rows(src0);
             break;
+        case GGML_OP_UPSCALE:
+            supports_op = (op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) &&
+                          (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
+            break;
         default:
             break;
     }
@@ -3695,9 +4255,9 @@ static struct ggml_backend_device_i ggml_backend_webgpu_device_i = {
     /* .supports_op          = */ ggml_backend_webgpu_device_supports_op,
     /* .supports_buft        = */ ggml_backend_webgpu_device_supports_buft,
     /* .offload_op           = */ NULL,
-    /* .event_new            = */ NULL,
-    /* .event_free           = */ NULL,
-    /* .event_synchronize    = */ NULL,
+    /* .event_new            = */ ggml_backend_webgpu_device_event_new,
+    /* .event_free           = */ ggml_backend_webgpu_device_event_free,
+    /* .event_synchronize    = */ ggml_backend_webgpu_device_event_synchronize,
 };
 
 /* End GGML Backend Device Interface */
@@ -3752,9 +4312,25 @@ static const struct ggml_backend_reg_i ggml_backend_webgpu_reg_i = {
 ggml_backend_reg_t ggml_backend_webgpu_reg() {
     WEBGPU_LOG_DEBUG("ggml_backend_webgpu_reg()");
 
-    static ggml_backend_webgpu_reg_context ctx;
-    ctx.name         = GGML_WEBGPU_NAME;
-    ctx.device_count = 1;
+    // Intentionally leak the global registry context to avoid crashing inside
+    // Dawn/Vulkan static teardown during process exit.
+    static ggml_backend_webgpu_reg_context * ctx = new ggml_backend_webgpu_reg_context();
+
+    static ggml_backend_reg reg = {
+        /* .api_version = */ GGML_BACKEND_API_VERSION,
+        /* .iface       = */ ggml_backend_webgpu_reg_i,
+        /* .context     = */ ctx,
+    };
+
+    ctx->name         = GGML_WEBGPU_NAME;
+    ctx->device_count = 0;
+
+    // Keep one Dawn/WebGPU instance alive for the lifetime of the static backend
+    // registry. Recreating it on repeated registry lookups can invalidate
+    // adapter/device references that are still held by the backend/device layer.
+    if (ctx->webgpu_global_ctx != nullptr && ctx->webgpu_global_ctx->instance != nullptr) {
+        return &reg;
+    }
 
     wgpu::InstanceDescriptor               instance_descriptor{};
     std::vector<wgpu::InstanceFeatureName> instance_features = { wgpu::InstanceFeatureName::TimedWaitAny };
@@ -3769,23 +4345,33 @@ ggml_backend_reg_t ggml_backend_webgpu_reg() {
     instance_descriptor.nextInChain        = &instanceTogglesDesc;
 #endif
 
-    wgpu::Instance inst             = wgpu::CreateInstance(&instance_descriptor);
-    ctx.webgpu_global_ctx           = webgpu_global_context(new webgpu_global_context_struct());
-    ctx.webgpu_global_ctx->instance = std::move(inst);
+    wgpu::Instance inst              = wgpu::CreateInstance(&instance_descriptor);
+    ctx->webgpu_global_ctx           = webgpu_global_context(new webgpu_global_context_struct());
+    ctx->webgpu_global_ctx->instance = std::move(inst);
+
+    // Probe for adapter support
+    wgpu::Adapter adapter;
+    if (ctx->webgpu_global_ctx->instance != nullptr) {
+        wgpu::RequestAdapterOptions options = {};
+
+        // probe for adapter support
+        ctx->webgpu_global_ctx->instance.WaitAny(
+            ctx->webgpu_global_ctx->instance.RequestAdapter(
+                &options, wgpu::CallbackMode::AllowSpontaneous,
+                [&adapter](wgpu::RequestAdapterStatus status, wgpu::Adapter _adapter, const char * message) {
+                    if (status != wgpu::RequestAdapterStatus::Success) {
+                        GGML_LOG_ERROR("ggml_webgpu: Failed to get an adapter: %s\n", message);
+                        return;
+                    }
+                    adapter = std::move(_adapter);
+                }),
+            UINT64_MAX);
+    }
 
-#ifdef __EMSCRIPTEN__
-    if (ctx.webgpu_global_ctx->instance == nullptr) {
-        GGML_LOG_ERROR("ggml_webgpu: Failed to create WebGPU instance. Make sure either -sASYNCIFY or -sJSPI is set\n");
-        return nullptr;
+    if (adapter != nullptr) {
+        ctx->device_count = 1;
     }
-#endif
-    GGML_ASSERT(ctx.webgpu_global_ctx->instance != nullptr);
 
-    static ggml_backend_reg reg = {
-        /* .api_version = */ GGML_BACKEND_API_VERSION,
-        /* .iface       = */ ggml_backend_webgpu_reg_i,
-        /* .context     = */ &ctx,
-    };
     return &reg;
 }
 
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
index a748dc1b8..605de7aa7 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/binary.wgsl
@@ -7,8 +7,6 @@ struct Params {
     offset_src0: u32,
     offset_src1: u32,
     offset_dst: u32,
-    offset_merged_src0: u32,
-    offset_merged_src1: u32,
 
     stride_src0_0: u32,
     stride_src0_1: u32,
@@ -134,8 +132,8 @@ fn update(dst_i: u32, src0_i: u32, src1_i: u32) {
 @compute @workgroup_size(WG_SIZE)
 fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     if (gid.x < params.ne) {
-        let src0_i = params.offset_src0 + params.offset_merged_src0 + src0_index(gid.x);
-        let src1_i = params.offset_src1 + params.offset_merged_src1 + src1_index(gid.x);
+        let src0_i = params.offset_src0 + src0_index(gid.x);
+        let src1_i = params.offset_src1 + src1_index(gid.x);
         update(params.offset_dst + gid.x, src0_i, src1_i);
     }
 }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
index feb0bca3f..14c045b0b 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl
@@ -9,35 +9,73 @@ fn get_byte_i32(value: u32, index: u32) -> i32 {
 #endif
 
 #ifdef U32_DEQUANT_HELPERS
-fn load_src0_u16_at(byte_offset: u32) -> u32 {
+#ifdef DECLARE_BYTE_LOADERS_SRC
+fn load_u16_at_src(byte_offset: u32) -> u32 {
+    let word = src[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    return (word >> shift) & 0xFFFFu;
+}
+
+fn load_u32_at_src(byte_offset: u32) -> u32 {
+    let word_idx = byte_offset / 4u;
+    let shift = (byte_offset & 0x3u) * 8u;
+    let lo = src[word_idx];
+    let hi = src[word_idx + 1u];
+    let shifted = (lo >> shift) | (hi << (32u - shift));
+    return select(shifted, lo, shift == 0u);
+}
+
+fn load_f16_at_src(byte_offset: u32) -> f16 {
+    let packed = unpack2x16float(load_u16_at_src(byte_offset));
+    return f16(packed[0]);
+}
+
+fn load_f16_as_f32_at_src(byte_offset: u32) -> f32 {
+    let word = src[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    let d_bits = (word >> shift) & 0xFFFFu;
+    return unpack2x16float(d_bits)[0];
+}
+#endif
+
+#ifdef DECLARE_BYTE_LOADERS_SRC0
+fn load_u16_at_src0(byte_offset: u32) -> u32 {
     let word = src0[byte_offset / 4u];
-    let shift = (byte_offset & 2u) * 8u;
+    let shift = (byte_offset & 0x2u) * 8u;
     return (word >> shift) & 0xFFFFu;
 }
 
-fn load_src0_u32_at(byte_offset: u32) -> u32 {
+// Always reads the 4-byte-aligned word containing byte_offset.
+// Caller extracts the 16-bit half it needs via & 0xFFFFu or >> 16u.
+// this is used in k-quants for better performance
+fn load_u32_at_src0_aligned(byte_offset: u32) -> u32 {
+    return src0[(byte_offset & ~3u) / 4u];
+}
+
+fn load_u32_at_src0(byte_offset: u32) -> u32 {
     let word_idx = byte_offset / 4u;
-    let shift = (byte_offset & 3u) * 8u;
+    let shift = (byte_offset & 0x3u) * 8u;
     let lo = src0[word_idx];
-    if (shift == 0u) {
-        return lo;
-    }
     let hi = src0[word_idx + 1u];
-    return (lo >> shift) | (hi << (32u - shift));
+    let shifted = (lo >> shift) | (hi << (32u - shift));
+    return select(shifted, lo, shift == 0u);
 }
 
-fn load_src0_f16_at(byte_offset: u32) -> f16 {
-    let packed = unpack2x16float(load_src0_u16_at(byte_offset));
+fn load_f16_at_src0(byte_offset: u32) -> f16 {
+    let packed = unpack2x16float(load_u16_at_src0(byte_offset));
     return f16(packed[0]);
 }
-#endif
 
-#ifdef Q4_0_T
-struct q4_0 {
-    d: f16,
-    qs: array<f16, 8>
-};
+fn load_f16_as_f32_at_src0(byte_offset: u32) -> f32 {
+    let word = src0[byte_offset / 4u];
+    let shift = (byte_offset & 0x2u) * 8u;
+    let d_bits = (word >> shift) & 0xFFFFu;
+    return unpack2x16float(d_bits)[0];
+}
 #endif
+#endif
+
+
 
 #ifdef Q4_1_T
 struct q4_1 {
@@ -47,13 +85,6 @@ struct q4_1 {
 };
 #endif
 
-#ifdef Q5_0_T
-struct q5_0 {
-    d: f16,
-    qh: array<f16, 2>,
-    qs: array<f16, 8>
-};
-#endif
 
 #ifdef Q5_1_T
 struct q5_1 {
@@ -64,12 +95,6 @@ struct q5_1 {
 };
 #endif
 
-#ifdef Q8_0_T
-struct q8_0 {
-    d: f16,
-    qs: array<f16, 16>
-};
-#endif
 
 #ifdef Q8_1_T
 struct q8_1 {
@@ -88,14 +113,6 @@ struct q2_K {
 };
 #endif
 
-#ifdef Q3_K_T
-struct q3_K {
-    hmask: array<f16, 16>,
-    qs: array<f16, 32>,
-    scales: array<f16, 6>,
-    d: f16
-};
-#endif
 
 #if defined(Q4_K_SCALE_MIN) || defined(Q5_K_SCALE_MIN)
 fn get_scale_min(is: u32, scales: array<u32, 3>) -> vec2<f32> {
@@ -132,64 +149,6 @@ struct q5_K {
 };
 #endif
 
-#ifdef Q6_K_T
-struct q6_K {
-    ql: array<f16, 64>,
-    qh: array<f16, 32>,
-    scales: array<f16, 8>,
-    d: f16
-};
-#endif
-
-#ifdef IQ2_XXS_T
-struct iq2_xxs {
-    d: f16,
-    qs: array<f16, 32>
-};
-#endif
-
-#ifdef IQ2_XS_T
-struct iq2_xs {
-    d: f16,
-    qs: array<f16, 32>,
-    scales: array<f16, 4>
-};
-#endif
-
-#ifdef IQ2_S_T
-struct iq2_s {
-    d: f16,
-    qs: array<f16, 32>,
-    qh: array<f16, 4>,
-    scales: array<f16, 4>
-};
-#endif
-
-#ifdef IQ3_XXS_T
-struct iq3_xxs {
-    d: f16,
-    qs: array<f16, 48>
-};
-#endif
-
-#ifdef IQ3_S_T
-struct iq3_s {
-    d: f16,
-    qs: array<f16, 32>,
-    qh: array<f16, 4>,
-    signs: array<f16, 16>,
-    scales: array<f16, 2>
-};
-#endif
-
-#ifdef IQ1_S_T
-struct iq1_s {
-    d: f16,
-    qs: array<f16, 16>,
-    qh: array<f16, 8>
-};
-#endif
-
 #ifdef IQ1_M_T
 struct iq1_m {
     qs: array<u32, 8>,
@@ -198,17 +157,9 @@ struct iq1_m {
 };
 #endif
 
-#ifdef IQ4_NL_T
-struct iq4_nl {
-    d: f16,
-    qs: array<f16, 8>,
-};
-#endif
-
 #ifdef IQ4_XS_T
 struct iq4_xs {
-    d: f16,
-    scales_h: f16,
+    d_scales_h: u32,
     scales_l: u32,
     qs: array<u32, 32>
 };
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/conv2d.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/conv2d.wgsl
new file mode 100644
index 000000000..9eb131dc2
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/conv2d.wgsl
@@ -0,0 +1,165 @@
+#include "common_decls.tmpl"
+enable f16;
+
+@group(0) @binding(0)
+#if defined(WEIGHT_F32)
+var<storage, read_write> weights: array<f32>;
+#elif defined(WEIGHT_F16)
+var<storage, read_write> weights: array<f16>;
+#endif
+
+@group(0) @binding(1)
+#if defined(INPUT_F32)
+var<storage, read_write> input: array<f32>;
+#elif defined(INPUT_F16)
+var<storage, read_write> input: array<f16>;
+#endif
+
+@group(0) @binding(2)
+#if defined(OUTPUT_F32)
+var<storage, read_write> output: array<f32>;
+#elif defined(OUTPUT_F16)
+var<storage, read_write> output: array<f16>;
+#endif
+
+struct Params {
+    offset_w: u32,
+    offset_i: u32,
+    offset_o: u32,
+
+    // element strides
+    sw0: u32, sw1: u32, sw2: u32, sw3: u32,
+    si0: u32, si1: u32, si2: u32, si3: u32,
+    so0: u32, so1: u32, so2: u32, so3: u32,
+
+    // kernel dimensions
+    KW: u32, KH: u32, IC: u32,
+    // input dimensions
+    IW: u32, IH: u32,
+    // output dimensions
+    OW: u32, OH: u32, OC_out: u32, N_out: u32,
+
+    // stride
+    s0: u32, s1: u32,
+    // padding
+    p0: u32, p1: u32,
+    // dilation
+    d0: u32, d1: u32,
+};
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+fn load_weight(idx: u32) -> f32 {
+    #if defined(WEIGHT_F32)
+        return weights[idx];
+    #elif defined(WEIGHT_F16)
+        return f32(weights[idx]);
+    #endif
+}
+
+fn load_input(idx: u32) -> f32 {
+    #if defined(INPUT_F32)
+        return input[idx];
+    #elif defined(INPUT_F16)
+        return f32(input[idx]);
+    #endif
+}
+
+fn store_output(idx: u32, val: f32) {
+    #if defined(OUTPUT_F32)
+        output[idx] = val;
+    #elif defined(OUTPUT_F16)
+        output[idx] = f16(val);
+    #endif
+}
+
+fn ceil_div_u32(x: u32, y: u32) -> u32 {
+    return (x + y - 1) / y;
+}
+
+// returns the first valid kernel index k such that base + k * step >= 0
+fn first_valid_k(base: i32, step: u32) -> u32 {
+    if (base >= 0) {
+        return 0;
+    }
+
+    return ceil_div_u32(u32(-base), step);
+}
+
+// returns the first invalid kernel index k such that base + k * step >= limit so valid k are in [0, end_valid_k)
+fn end_valid_k(base: i32, step: u32, limit: u32, k_max: u32) -> u32 {
+    let remaining = i32(limit) - base;
+    if (remaining <= 0) {
+        return 0;
+    }
+
+    return min(k_max, ceil_div_u32(u32(remaining), step));
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(global_invocation_id) gid: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+) {
+
+    let threads_per_group = u32(WG_SIZE);
+    let i_out = gid.x + (num_wg.x * threads_per_group) * gid.y;
+    let n_out = params.OW * params.OH * params.OC_out * params.N_out;
+
+    var sum: f32 = 0.0;
+    if (i_out >= n_out) {
+        return;
+    }
+
+    // Kernel layout: [KW, KH, IC, ..]
+    // Input layout:  [IW, IH, .., ..]
+    // Output layout: [OW, OH, OC, N]
+
+    var i = i_out;
+    let n = i / (params.OC_out * params.OH * params.OW);
+    i = i % (params.OC_out * params.OH * params.OW);
+    let oc = i / (params.OH * params.OW);
+    i = i % (params.OH * params.OW);
+    let oh = i / params.OW;
+    let ow = i % params.OW;
+
+    let ow_base = i32(ow * params.s0) - i32(params.p0);
+    let oh_base = i32(oh * params.s1) - i32(params.p1);
+
+    // clip the valid kernel window once
+    let kw_begin = first_valid_k(ow_base, params.d0);
+    let kw_end = end_valid_k(ow_base, params.d0, params.IW, params.KW);
+    let kh_begin = first_valid_k(oh_base, params.d1);
+    let kh_end = end_valid_k(oh_base, params.d1, params.IH, params.KH);
+
+    // entire receptive field is out of bounds
+    if (kw_begin >= kw_end || kh_begin >= kh_end) {
+        let out_idx = params.offset_o + ow * params.so0 + oh * params.so1 + oc * params.so2 + n * params.so3;
+        store_output(out_idx, 0.0);
+        return;
+    }
+
+    let weight_oc_base = params.offset_w + oc * params.sw3;
+    let input_n_base = params.offset_i + n * params.si3;
+
+    for (var ic: u32 = 0; ic < params.IC; ic += 1) {
+        let w_base_ic = ic * params.sw2 + weight_oc_base;
+        let in_base = ic * params.si2 + input_n_base;
+
+        for (var kh: u32 = kh_begin; kh < kh_end; kh += 1) {
+            let ih = u32(oh_base + i32(kh * params.d1));
+            let w_row_base = w_base_ic + kh * params.sw1;
+            let in_row_base = in_base + ih * params.si1;
+            for (var kw: u32 = kw_begin; kw < kw_end; kw += 1) {
+                let iw = u32(ow_base + i32(kw * params.d0));
+                let w_idx = w_row_base + kw * params.sw0;
+                let in_idx = in_row_base + iw * params.si0;
+                sum += load_weight(w_idx) * load_input(in_idx);
+            }
+        }
+    }
+
+    let out_idx = params.offset_o + ow * params.so0 + oh * params.so1 + oc * params.so2 + n * params.so3;
+    store_output(out_idx, sum);
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
index 8b76cecba..6d5d69fb8 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn.wgsl
@@ -138,26 +138,55 @@ struct Params {
 };
 
 @group(0) @binding(0) var<storage, read_write> Q: array<f32>;
+#ifdef KV_OVERLAP
+@group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
+#define V K
+#else
 @group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
 @group(0) @binding(2) var<storage, read_write> V: array<KV_TYPE>;
+#endif
 
 #if defined(MASK) && defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+@group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#else
 @group(0) @binding(3) var<storage, read_write> mask: array<f16>;
 @group(0) @binding(4) var<storage, read_write> sinks: array<f32>;
 #define DST_BINDING 5
 #define PARAMS_BINDING 6
+#endif
 #elif defined(MASK)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
+#else
 @group(0) @binding(3) var<storage, read_write> mask: array<f16>;
 #define DST_BINDING 4
 #define PARAMS_BINDING 5
+#endif
 #elif defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
+#else
 @group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
 #define DST_BINDING 4
 #define PARAMS_BINDING 5
+#endif
+#else
+#ifdef KV_OVERLAP
+#define DST_BINDING 2
+#define PARAMS_BINDING 3
 #else
 #define DST_BINDING 3
 #define PARAMS_BINDING 4
 #endif
+#endif
 
 @group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<f32>>;
 @group(0) @binding(PARAMS_BINDING) var<uniform> params: Params;
@@ -369,35 +398,35 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 #endif
           for (var kv_block = subgroup_id; kv_block < KV_BLOCKS; kv_block += num_subgroups) {
               let inter_offset = kv_block * SG_MAT_N;
-              var acc: subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N>>(&inter_shmem, inter_offset, false, KV_TILE);
+              var acc: subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M>>(&inter_shmem, inter_offset, false, KV_TILE);
 
-              var q_cur = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, 0u, false, HEAD_DIM_QK);
+              var q_cur = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, 0u, false, HEAD_DIM_QK);
 
 #ifdef KV_DIRECT
-              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + 0u, true, params.stride_k1);
+              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + 0u, true, params.stride_k1);
 #else
-              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + 0u, true, HEAD_DIM_QK);
+              var k_cur = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + 0u, true, HEAD_DIM_QK);
 #endif
 
               var t: u32 = 1u;
               for (; t + 1u < HEAD_DIM_QK / SG_MAT_K; t += 2u) {
                   let h0 = t * SG_MAT_K;
-                  var q0 = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h0, false, HEAD_DIM_QK);
+                  var q0 = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h0, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h0, true, params.stride_k1);
+                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h0, true, params.stride_k1);
 #else
-                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h0, true, HEAD_DIM_QK);
+                  var k0 = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h0, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = q0;
                   k_cur = k0;
 
                   let h1 = (t + 1u) * SG_MAT_K;
-                  var q1g = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h1, false, HEAD_DIM_QK);
+                  var q1g = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h1, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h1, true, params.stride_k1);
+                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h1, true, params.stride_k1);
 #else
-                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h1, true, HEAD_DIM_QK);
+                  var k1g = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h1, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = q1g;
@@ -407,11 +436,11 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
               // handle odd tail
               if (t < HEAD_DIM_QK / SG_MAT_K) {
                   let h = t * SG_MAT_K;
-                  var qn = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(&q_shmem, h, false, HEAD_DIM_QK);
+                  var qn = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(&q_shmem, h, false, HEAD_DIM_QK);
 #ifdef KV_DIRECT
-                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&K, k_global_offset + h, true, params.stride_k1);
+                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&K, k_global_offset + h, true, params.stride_k1);
 #else
-                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(&kv_shmem, k_block_offset + h, true, HEAD_DIM_QK);
+                  var kn = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(&kv_shmem, k_block_offset + h, true, HEAD_DIM_QK);
 #endif
                   acc = subgroupMatrixMultiplyAccumulate(q_cur, k_cur, acc);
                   q_cur = qn;
@@ -566,7 +595,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
            head_dim_block < HEAD_DIM_V;
            head_dim_block += num_subgroups * SG_MAT_N) {
               // load O submatrix from shared memory
-              var o_sg_mat: subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_M, SG_MAT_N>>(
+              var o_sg_mat: subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_result<f16, SG_MAT_N, SG_MAT_M>>(
                   &o_shmem,
                   head_dim_block,
                   false,
@@ -574,7 +603,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
               );
               for (var kv_block = 0u; kv_block < KV_BLOCKS; kv_block++) {
                   let p_offset = kv_block * SG_MAT_N;
-                  var p_sg_mat: subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_M, SG_MAT_K>>(
+                  var p_sg_mat: subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M> = subgroupMatrixLoad<subgroup_matrix_left<f16, SG_MAT_K, SG_MAT_M>>(
                       &inter_shmem,
                       p_offset,
                       false,
@@ -585,7 +614,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 #ifdef KV_DIRECT
                   let v_block_row = kv_tile + kv_block * SG_MAT_N;
                   let v_global_offset = v_head_offset + v_block_row * params.stride_v1 + head_dim_block;
-                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(
+                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(
                       &V,
                       v_global_offset,
                       false,
@@ -593,7 +622,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                   );
 #else
                   let v_block_offset = kv_block * SG_MAT_N * HEAD_DIM_V;
-                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_K, SG_MAT_N>>(
+                  var v_sg_mat: subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K> = subgroupMatrixLoad<subgroup_matrix_right<f16, SG_MAT_N, SG_MAT_K>>(
                       &kv_shmem,
                       v_block_offset + head_dim_block,
                       false,
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl
new file mode 100644
index 000000000..37ea23b80
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_tile.wgsl
@@ -0,0 +1,330 @@
+enable f16;
+enable subgroups;
+
+#define HEAD_DIM_QK 64
+#define HEAD_DIM_V 64
+#define KV_STAGE_STRIDE 64
+#define Q_TILE 4
+#define KV_TILE 64
+#define WG_SIZE 128
+
+struct Params {
+    offset_q: u32,
+    offset_k: u32,
+    offset_v: u32,
+    offset_mask: u32,
+    offset_sinks: u32,
+    offset_dst: u32,
+
+    n_heads: u32,
+    seq_len_q: u32,
+    seq_len_kv: u32,
+
+    stride_q1: u32,
+    stride_q2: u32,
+    stride_q3: u32,
+    stride_k1: u32,
+    stride_k2: u32,
+    stride_k3: u32,
+    stride_v1: u32,
+    stride_v2: u32,
+    stride_v3: u32,
+    stride_mask3: u32,
+
+    q_per_kv: u32,
+
+    scale: f32,
+    max_bias: f32,
+    logit_softcap: f32,
+    n_head_log2: f32,
+    m0: f32,
+    m1: f32,
+};
+
+@group(0) @binding(0) var<storage, read_write> Q: array<f32>;
+#ifdef KV_OVERLAP
+@group(0) @binding(1) var<storage, read_write> K: array<vec4<f16>>;
+#define V K
+#else
+@group(0) @binding(1) var<storage, read_write> K: array<vec4<f16>>;
+@group(0) @binding(2) var<storage, read_write> V: array<vec4<f16>>;
+#endif
+
+#if defined(MASK) && defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+@group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#else
+@group(0) @binding(3) var<storage, read_write> mask: array<f16>;
+@group(0) @binding(4) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 5
+#define PARAMS_BINDING 6
+#endif
+#elif defined(MASK)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
+#else
+@group(0) @binding(3) var<storage, read_write> mask: array<f16>;
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#endif
+#elif defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
+#else
+@group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#endif
+#else
+#ifdef KV_OVERLAP
+#define DST_BINDING 2
+#define PARAMS_BINDING 3
+#else
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
+#endif
+#endif
+
+@group(0) @binding(DST_BINDING) var<storage, read_write> dst: array<vec4<f32>>;
+@group(0) @binding(PARAMS_BINDING) var<uniform> params: Params;
+
+const FLOAT_MIN: f32 = -1.0e9;
+const Q_CHUNKS: u32 = HEAD_DIM_QK / 4u;
+const V_CHUNKS: u32 = HEAD_DIM_V / 4u;
+const SCORE_REGS_PER_LANE: u32 = (KV_TILE + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE;
+const OUT_REGS_PER_LANE: u32 = (V_CHUNKS + MAX_SUBGROUP_SIZE - 1u) / MAX_SUBGROUP_SIZE;
+
+var<workgroup> q_shmem: array<f16, Q_TILE * HEAD_DIM_QK>;
+var<workgroup> kv_shmem: array<f16, KV_TILE * KV_STAGE_STRIDE>;
+var<workgroup> p_shmem: array<f32, Q_TILE * KV_TILE>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(subgroup_id) subgroup_id: u32,
+        @builtin(subgroup_size) subgroup_size: u32,
+        @builtin(num_subgroups) num_subgroups: u32,
+        @builtin(subgroup_invocation_id) sg_inv_id: u32) {
+    if (subgroup_size == 0u || num_subgroups < Q_TILE) {
+        return;
+    }
+
+    let wg_per_head = (params.seq_len_q + Q_TILE - 1u) / Q_TILE;
+    let wg_per_batch = wg_per_head * params.n_heads;
+
+    let dst2_stride = HEAD_DIM_V * params.n_heads;
+    let dst3_stride = dst2_stride * params.seq_len_q;
+
+    let batch_idx = wg_id.x / wg_per_batch;
+    let q_batch_offset = params.offset_q + batch_idx * params.stride_q3;
+    let k_batch_offset = params.offset_k + batch_idx * params.stride_k3;
+    let v_batch_offset = params.offset_v + batch_idx * params.stride_v3;
+    let dst_batch_offset = params.offset_dst + batch_idx * dst3_stride;
+    let wg_in_batch = wg_id.x % wg_per_batch;
+
+    let head_idx = wg_in_batch / wg_per_head;
+    let q_head_offset = q_batch_offset + head_idx * params.stride_q2;
+    let k_head_idx = head_idx / params.q_per_kv;
+    let v_head_offset = v_batch_offset + k_head_idx * params.stride_v2;
+    let k_head_offset = k_batch_offset + k_head_idx * params.stride_k2;
+
+    let wg_in_head = wg_in_batch % wg_per_head;
+    let q_row_start = wg_in_head * Q_TILE;
+    let global_q_row = q_row_start + subgroup_id;
+    let row_active = subgroup_id < Q_TILE && global_q_row < params.seq_len_q;
+
+#ifdef MASK
+    let mask_global_offset = params.offset_mask + batch_idx * params.stride_mask3 + q_row_start * params.seq_len_kv;
+#endif
+
+    let dst_global_offset = dst_batch_offset + q_row_start * dst2_stride + head_idx * HEAD_DIM_V;
+
+    let head = f32(head_idx);
+    let slope = select(1.0,
+                       select(pow(params.m1, 2.0 * (head - params.n_head_log2) + 1.0),
+                              pow(params.m0, head + 1.0),
+                              head < params.n_head_log2),
+                       params.max_bias > 0.0);
+
+    for (var elem_idx = local_id.x; elem_idx < Q_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE) {
+        let q_tile_row = elem_idx / HEAD_DIM_QK;
+        let q_col = elem_idx % HEAD_DIM_QK;
+        let head_q_row = q_row_start + q_tile_row;
+        let global_q_row_offset = q_head_offset + head_q_row * params.stride_q1;
+        q_shmem[elem_idx] = f16(select(
+            0.0,
+            Q[global_q_row_offset + q_col] * params.scale,
+            head_q_row < params.seq_len_q));
+    }
+
+    workgroupBarrier();
+
+    var row_max = FLOAT_MIN;
+    var exp_sum = 0.0;
+    var out_regs: array<vec4<f32>, OUT_REGS_PER_LANE>;
+    for (var reg_idx = 0u; reg_idx < OUT_REGS_PER_LANE; reg_idx += 1u) {
+        out_regs[reg_idx] = vec4<f32>(0.0);
+    }
+
+    let q_base = subgroup_id * HEAD_DIM_QK;
+    let subgroup_p_offset = subgroup_id * KV_TILE;
+
+    for (var kv_tile = 0u; kv_tile < params.seq_len_kv; kv_tile += KV_TILE) {
+        let kv_count = min(KV_TILE, params.seq_len_kv - kv_tile);
+        let score_slots = min(SCORE_REGS_PER_LANE, (kv_count + subgroup_size - 1u) / subgroup_size);
+        let out_slots = min(OUT_REGS_PER_LANE, (V_CHUNKS + subgroup_size - 1u) / subgroup_size);
+        var local_scores: array<f32, SCORE_REGS_PER_LANE>;
+        for (var slot = 0u; slot < SCORE_REGS_PER_LANE; slot += 1u) {
+            local_scores[slot] = FLOAT_MIN;
+        }
+
+        for (var vec_idx_local = local_id.x; vec_idx_local < kv_count * Q_CHUNKS; vec_idx_local += WG_SIZE) {
+            let kv_local = vec_idx_local / Q_CHUNKS;
+            let chunk = vec_idx_local % Q_CHUNKS;
+            let global_k_row = kv_tile + kv_local;
+            let k_vec_index = (k_head_offset + global_k_row * params.stride_k1 + chunk * 4u) >> 2u;
+            let k4 = K[k_vec_index];
+            let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
+            kv_shmem[kv_off + 0u] = k4.x;
+            kv_shmem[kv_off + 1u] = k4.y;
+            kv_shmem[kv_off + 2u] = k4.z;
+            kv_shmem[kv_off + 3u] = k4.w;
+        }
+
+        workgroupBarrier();
+
+        var local_max = FLOAT_MIN;
+        if (row_active) {
+            for (var slot = 0u; slot < score_slots; slot += 1u) {
+                let kv_local = sg_inv_id + slot * subgroup_size;
+                if (kv_local >= kv_count) {
+                    continue;
+                }
+
+                let global_k_row = kv_tile + kv_local;
+                var dot_val = 0.0;
+                for (var chunk = 0u; chunk < Q_CHUNKS; chunk += 1u) {
+                    let q_off = q_base + chunk * 4u;
+                    let qv = vec4<f32>(
+                        f32(q_shmem[q_off + 0u]),
+                        f32(q_shmem[q_off + 1u]),
+                        f32(q_shmem[q_off + 2u]),
+                        f32(q_shmem[q_off + 3u]));
+                    let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
+                    let kv = vec4<f32>(
+                        f32(kv_shmem[kv_off + 0u]),
+                        f32(kv_shmem[kv_off + 1u]),
+                        f32(kv_shmem[kv_off + 2u]),
+                        f32(kv_shmem[kv_off + 3u]));
+                    dot_val += dot(qv, kv);
+                }
+#ifdef LOGIT_SOFTCAP
+                dot_val = params.logit_softcap * tanh(dot_val);
+#endif
+#ifdef MASK
+                let mask_idx = mask_global_offset + subgroup_id * params.seq_len_kv + global_k_row;
+                dot_val += slope * f32(mask[mask_idx]);
+#endif
+                local_scores[slot] = dot_val;
+                local_max = max(local_max, dot_val);
+            }
+        }
+
+        let tile_max = subgroupMax(local_max);
+        let new_max = max(row_max, tile_max);
+        let cur_exp = exp(row_max - new_max);
+        exp_sum *= cur_exp;
+        for (var reg_idx = 0u; reg_idx < OUT_REGS_PER_LANE; reg_idx += 1u) {
+            out_regs[reg_idx] *= cur_exp;
+        }
+
+        var local_sum = 0.0;
+        for (var slot = 0u; slot < score_slots; slot += 1u) {
+            let kv_local = sg_inv_id + slot * subgroup_size;
+            if (row_active && kv_local < kv_count) {
+                let p = exp(local_scores[slot] - new_max);
+                p_shmem[subgroup_p_offset + kv_local] = p;
+                local_sum += p;
+            }
+        }
+
+        workgroupBarrier();
+
+        for (var vec_idx_local = local_id.x; vec_idx_local < kv_count * V_CHUNKS; vec_idx_local += WG_SIZE) {
+            let kv_local = vec_idx_local / V_CHUNKS;
+            let chunk = vec_idx_local % V_CHUNKS;
+            let global_v_row = kv_tile + kv_local;
+            let v_vec_index = (v_head_offset + global_v_row * params.stride_v1 + chunk * 4u) >> 2u;
+            let v4 = V[v_vec_index];
+            let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
+            kv_shmem[kv_off + 0u] = v4.x;
+            kv_shmem[kv_off + 1u] = v4.y;
+            kv_shmem[kv_off + 2u] = v4.z;
+            kv_shmem[kv_off + 3u] = v4.w;
+        }
+
+        workgroupBarrier();
+
+        let tile_sum = subgroupAdd(local_sum);
+        exp_sum += tile_sum;
+        row_max = new_max;
+
+        if (row_active) {
+            for (var reg_idx = 0u; reg_idx < out_slots; reg_idx += 1u) {
+                let chunk = sg_inv_id + reg_idx * subgroup_size;
+                if (chunk >= V_CHUNKS) {
+                    continue;
+                }
+
+                var acc = out_regs[reg_idx];
+                for (var kv_local = 0u; kv_local < kv_count; kv_local += 1u) {
+                    let p = p_shmem[subgroup_p_offset + kv_local];
+                    let kv_off = kv_local * KV_STAGE_STRIDE + chunk * 4u;
+                    let v4 = vec4<f32>(
+                        f32(kv_shmem[kv_off + 0u]),
+                        f32(kv_shmem[kv_off + 1u]),
+                        f32(kv_shmem[kv_off + 2u]),
+                        f32(kv_shmem[kv_off + 3u]));
+                    acc += p * v4;
+                }
+                out_regs[reg_idx] = acc;
+            }
+        }
+
+        workgroupBarrier();
+    }
+
+#ifdef SINKS
+    if (row_active) {
+        let sink_score = sinks[params.offset_sinks + head_idx];
+        let sink_max = max(row_max, sink_score);
+        let sink_scale = exp(row_max - sink_max);
+        for (var reg_idx = 0u; reg_idx < OUT_REGS_PER_LANE; reg_idx += 1u) {
+            out_regs[reg_idx] *= sink_scale;
+        }
+        exp_sum = exp_sum * sink_scale + exp(sink_score - sink_max);
+        row_max = sink_max;
+    }
+#endif
+
+    if (row_active) {
+        let inv_exp_sum = select(0.0, 1.0 / exp_sum, exp_sum != 0.0);
+        let row_base = dst_global_offset + subgroup_id * dst2_stride;
+        let out_slots = min(OUT_REGS_PER_LANE, (V_CHUNKS + subgroup_size - 1u) / subgroup_size);
+        for (var reg_idx = 0u; reg_idx < out_slots; reg_idx += 1u) {
+            let chunk = sg_inv_id + reg_idx * subgroup_size;
+            if (chunk >= V_CHUNKS) {
+                continue;
+            }
+            let dst_vec_index = (row_base + chunk * 4u) >> 2u;
+            dst[dst_vec_index] = out_regs[reg_idx] * inv_exp_sum;
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl
index 82d072be7..b4f7c16c3 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_blk.wgsl
@@ -1,7 +1,6 @@
 diagnostic(off, subgroup_uniformity);
 enable f16;
 
-#define Q_TILE 1
 #define KV_TILE 32
 #define WG_SIZE 32
 
@@ -11,12 +10,12 @@ struct Params {
     seq_len_kv: u32,
     stride_mask3: u32,
     // Number of KV blocks and Q blocks per batch.
-    // nblk0 = ceil(seq_len_kv / KV_TILE), nblk1 = ceil(seq_len_q / Q_TILE).
+    // nblk0 = ceil(seq_len_kv / KV_TILE), nblk1 = seq_len_q.
     nblk0: u32,
     nblk1: u32,
 };
 
-@group(0) @binding(0) var<storage, read> mask: array<f16>;
+@group(0) @binding(0) var<storage, read_write> mask: array<f16>;
 @group(0) @binding(1) var<storage, read_write> blk: array<u32>;
 @group(0) @binding(2) var<uniform> params: Params;
 
@@ -40,7 +39,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
         return;
     }
 
-    let q_start = q_blk * Q_TILE;
+    let q_start = q_blk;
     let k_start = kv_blk * KV_TILE;
 
     let mask_batch = select(0u, batch_idx, params.stride_mask3 > 0u);
@@ -54,11 +53,8 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     var local_max = -MASK_MAX;
     var local_any = 0u;
 
-    for (var q_rel = 0u; q_rel < Q_TILE; q_rel += 1u) {
-        let q_row = q_start + q_rel;
-        if (q_row >= params.seq_len_q) {
-            continue;
-        }
+    let q_row = q_start;
+    if (q_row < params.seq_len_q) {
         let row_base = mask_batch_base + q_row * params.seq_len_kv;
         for (var k_rel = local_id.x; k_rel < KV_TILE; k_rel += WG_SIZE) {
             let k_col = k_start + k_rel;
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl
index a52575871..b1e234784 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl
@@ -1,8 +1,6 @@
-diagnostic(off, chromium.subgroup_matrix_uniformity);
 diagnostic(off, subgroup_uniformity);
 enable f16;
 enable subgroups;
-enable chromium_experimental_subgroup_matrix;
 
 #ifdef KV_F32
 #define KV_TYPE f32
@@ -13,19 +11,14 @@ enable chromium_experimental_subgroup_matrix;
 #define HEAD_DIM_QK 64
 #define HEAD_DIM_V 64
 
-
-#define SG_MAT_M 8
-#define SG_MAT_N 8
-#define SG_MAT_K 8
-
-#define Q_TILE SG_MAT_M
+#define KV_GRANULARITY 8
 #define KV_TILE 16
 #define WG_SIZE 64
 #ifndef VEC_NE
 #define VEC_NE 4u
 #endif
 
-#define KV_BLOCKS (KV_TILE / SG_MAT_N)
+#define KV_BLOCKS (KV_TILE / KV_GRANULARITY)
 
 #define BLOCK_SIZE 32
 #define BLOCKS_K ((HEAD_DIM_QK + BLOCK_SIZE - 1) / BLOCK_SIZE)
@@ -97,6 +90,14 @@ struct Params {
 };
 
 @group(0) @binding(0) var<storage, read_write> Q: array<f32>;
+#ifdef KV_OVERLAP
+#if defined(KV_Q4_0) || defined(KV_Q8_0)
+@group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
+#else
+@group(0) @binding(1) var<storage, read_write> K: array<vec4<KV_TYPE>>;
+#endif
+#define V K
+#else
 #if defined(KV_Q4_0) || defined(KV_Q8_0)
 @group(0) @binding(1) var<storage, read_write> K: array<KV_TYPE>;
 #else
@@ -107,7 +108,22 @@ struct Params {
 #else
 @group(0) @binding(2) var<storage, read_write> V: array<vec4<KV_TYPE>>;
 #endif
+#endif
 #if defined(MASK) && defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+@group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
+#ifdef BLK
+#define BLK_BINDING 4
+#define TMP_BINDING 5
+#define DST_BINDING 6
+#define PARAMS_BINDING 7
+#else
+#define TMP_BINDING 4
+#define DST_BINDING 5
+#define PARAMS_BINDING 6
+#endif
+#else
 @group(0) @binding(3) var<storage, read_write> mask: array<f16>;
 @group(0) @binding(4) var<storage, read_write> sinks: array<f32>;
 #ifdef BLK
@@ -120,7 +136,21 @@ struct Params {
 #define DST_BINDING 6
 #define PARAMS_BINDING 7
 #endif
+#endif
 #elif defined(MASK)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> mask: array<f16>;
+#ifdef BLK
+#define BLK_BINDING 3
+#define TMP_BINDING 4
+#define DST_BINDING 5
+#define PARAMS_BINDING 6
+#else
+#define TMP_BINDING 3
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#endif
+#else
 @group(0) @binding(3) var<storage, read_write> mask: array<f16>;
 #ifdef BLK
 #define BLK_BINDING 4
@@ -132,16 +162,30 @@ struct Params {
 #define DST_BINDING 5
 #define PARAMS_BINDING 6
 #endif
+#endif
 #elif defined(SINKS)
+#ifdef KV_OVERLAP
+@group(0) @binding(2) var<storage, read_write> sinks: array<f32>;
+#define TMP_BINDING 3
+#define DST_BINDING 4
+#define PARAMS_BINDING 5
+#else
 @group(0) @binding(3) var<storage, read_write> sinks: array<f32>;
 #define TMP_BINDING 4
 #define DST_BINDING 5
 #define PARAMS_BINDING 6
+#endif
+#else
+#ifdef KV_OVERLAP
+#define TMP_BINDING 2
+#define DST_BINDING 3
+#define PARAMS_BINDING 4
 #else
 #define TMP_BINDING 3
 #define DST_BINDING 4
 #define PARAMS_BINDING 5
 #endif
+#endif
 
 #ifdef BLK
 @group(0) @binding(BLK_BINDING) var<storage, read_write> blk: array<u32>;
@@ -153,7 +197,7 @@ struct Params {
 // Just a very small float value.
 const FLOAT_MIN: f32 = -1.0e9;
 
-var<workgroup> q_shmem: array<f16, Q_TILE * HEAD_DIM_QK>;
+var<workgroup> q_shmem: array<f16, HEAD_DIM_QK>;
 
 #ifndef KV_DIRECT
 const kv_shmem_size = KV_TILE * max(HEAD_DIM_QK, HEAD_DIM_V);
@@ -161,31 +205,27 @@ const kv_shmem_size = KV_TILE * max(HEAD_DIM_QK, HEAD_DIM_V);
 var<workgroup> kv_shmem: array<f16, kv_shmem_size>;
 #endif
 
-var<workgroup> o_shmem: array<f16, Q_TILE * HEAD_DIM_V>;
+var<workgroup> o_shmem: array<f16, HEAD_DIM_V>;
 
 #ifdef MASK
 // storage for mask values
-var<workgroup> mask_shmem: array<f16, Q_TILE * KV_TILE>;
+var<workgroup> mask_shmem: array<f16, KV_TILE>;
 #endif
 
 // note that we reuse the same storage for both since we only need one at a time
-var<workgroup> inter_shmem: array<f16, Q_TILE * KV_TILE>;
+var<workgroup> inter_shmem: array<f16, KV_TILE>;
 
 // Storage for row max and exp sum during online softmax
-var<workgroup> row_max_shmem: array<f32, Q_TILE>;
-var<workgroup> exp_sum_shmem: array<f32, Q_TILE>;
-var<workgroup> blk_state_wg: u32;
-
-fn calc_softmax_term(kv_idx: u32, q_tile_row: u32, slope: f32, has_bias: bool, apply_mask: bool) -> f32 {
+fn calc_softmax_term(kv_idx: u32, slope: f32, has_bias: bool, apply_mask: bool) -> f32 {
     var v = select(FLOAT_MIN,
-                   f32(inter_shmem[kv_idx + q_tile_row * KV_TILE]) * params.scale,
+                   f32(inter_shmem[kv_idx]) * params.scale,
                    kv_idx < KV_TILE);
 #ifdef LOGIT_SOFTCAP
     v = params.logit_softcap * tanh(v);
 #endif
 #ifdef MASK
     if (apply_mask) {
-        var mask_val = select(0.0,f32(mask_shmem[q_tile_row * KV_TILE + kv_idx]), kv_idx < KV_TILE);
+        var mask_val = select(0.0, f32(mask_shmem[kv_idx]), kv_idx < KV_TILE);
         v += select(mask_val, slope * mask_val, has_bias);
     }
 #endif
@@ -199,19 +239,17 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     @builtin(subgroup_size) subgroup_size: u32,
     @builtin(num_subgroups) num_subgroups: u32,
     @builtin(subgroup_invocation_id) sg_inv_id: u32) {
+    // Vec path processes exactly one query row per workgroup, so subgroup 0 can
+    // keep the running softmax state in private storage.
+    var row_max = FLOAT_MIN;
+    var exp_sum = 0.0;
 
-    // initialize row max for online softmax
-    for (var i = local_id.x; i < Q_TILE; i += WG_SIZE) {
-        row_max_shmem[i] = FLOAT_MIN;
-        exp_sum_shmem[i] = 0.0;
-    }
-
-    for (var i = local_id.x; i < Q_TILE * HEAD_DIM_V; i += WG_SIZE) {
+    for (var i = local_id.x; i < HEAD_DIM_V; i += WG_SIZE) {
         o_shmem[i] = 0.0;
     }
 
     // workgroups per head/batch
-    let wg_per_head = (params.seq_len_q + Q_TILE - 1u) / Q_TILE;
+    let wg_per_head = params.seq_len_q;
     let wg_per_batch = wg_per_head * params.n_heads;
 
     let dst2_stride = HEAD_DIM_V * params.n_heads;
@@ -235,9 +273,9 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let k_head_offset = k_batch_offset + k_head_idx * params.stride_k2;
     let v_head_offset = v_batch_offset + v_head_idx * params.stride_v2;
 
-    // starting Q row for this workgroup
+    // Vec path handles one Q row per workgroup.
     let wg_in_head = wg_in_batch % wg_per_head;
-    let q_row_start = wg_in_head * Q_TILE;
+    let q_row_start = wg_in_head;
 
 #ifdef MASK
     // mask offset
@@ -248,21 +286,18 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let has_bias = params.max_bias > 0.0;
     let slope = select(1.0, select(pow(params.m1, 2.0 * (head - params.n_head_log2) + 1.0), pow(params.m0, head + 1.0), head < params.n_head_log2), has_bias);
 
-    // load q tile into shared memory
-    for (var elem_idx = local_id.x; elem_idx < Q_TILE * HEAD_DIM_QK; elem_idx += WG_SIZE) {
-        let q_row = elem_idx / HEAD_DIM_QK;
-        let q_col = elem_idx % HEAD_DIM_QK;
-        let head_q_row = q_row_start + q_row;
-        let global_q_row_offset = q_head_offset + head_q_row * params.stride_q1;
+    // load the single Q row into shared memory
+    for (var elem_idx = local_id.x; elem_idx < HEAD_DIM_QK; elem_idx += WG_SIZE) {
+        let global_q_row_offset = q_head_offset + q_row_start * params.stride_q1;
         q_shmem[elem_idx] = f16(select(
             0.0,
-            Q[global_q_row_offset + q_col],
-            head_q_row < params.seq_len_q && q_col < HEAD_DIM_QK));
+            Q[global_q_row_offset + elem_idx],
+            q_row_start < params.seq_len_q));
     }
 
     for (var kv_tile = iwg * KV_TILE; kv_tile < params.seq_len_kv; kv_tile += KV_TILE * params.nwg) {
 #ifdef BLK
-        let q_blk = q_row_start / Q_TILE;
+        let q_blk = q_row_start;
         let kv_blk = kv_tile / KV_TILE;
         let blk_batch = select(0u, batch_idx, params.stride_mask3 > 0u);
         let blk_idx = params.blk_base + (blk_batch * params.blk_nblk1 + q_blk) * params.blk_nblk0 + kv_blk;
@@ -270,13 +305,9 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 #else
         let blk_state_local = 1u;
 #endif
-        if (local_id.x == 0u) {
-            blk_state_wg = blk_state_local;
-        }
-        workgroupBarrier();
-        let blk_state = blk_state_wg;
+        let blk_state = blk_state_local;
         let skip_tile = blk_state == 0u;
-        for (var elem_idx = local_id.x; elem_idx < Q_TILE * KV_TILE; elem_idx += WG_SIZE) {
+        for (var elem_idx = local_id.x; elem_idx < KV_TILE; elem_idx += WG_SIZE) {
             inter_shmem[elem_idx] = f16(0.0);
         }
 
@@ -360,20 +391,14 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
         let num_of_threads = subgroup_size / VEC_NE;
         let tx = sg_inv_id % num_of_threads;
         let ty = sg_inv_id / num_of_threads;
-          for (var q_tile_row = subgroup_id; q_tile_row < Q_TILE; q_tile_row += num_subgroups) {
-              let global_q_row = q_row_start + q_tile_row;
-              if (global_q_row >= params.seq_len_q) {
-                  continue;
-              }
-              let local_q_row_offset = q_tile_row * HEAD_DIM_QK;
-
+          if (subgroup_id == 0u && q_row_start < params.seq_len_q) {
               for (var kv_base : u32 = 0u; kv_base < KV_TILE; kv_base += VEC_NE) {
                   let kv_idx = kv_base + ty;
                   var partial_sum: f32 = 0.0;
                   let kv_valid = kv_idx < KV_TILE && (kv_tile + kv_idx) < params.seq_len_kv;
                   if (kv_valid) {
                     for (var i = tx; i < (HEAD_DIM_QK / 4u); i += num_of_threads) {
-                        let q_off = local_q_row_offset + i * 4u;
+                        let q_off = i * 4u;
 
                         let qv = vec4<f32>(
                             f32(q_shmem[q_off + 0u]),
@@ -410,8 +435,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
                   let sum_bcast = subgroupShuffle(sum, num_of_threads * ty);
                   if (tx == 0u && kv_valid) {
-                      let dst_idx = q_tile_row * KV_TILE + kv_idx;
-                      inter_shmem[dst_idx] = f16(sum_bcast);
+                      inter_shmem[kv_idx] = f16(sum_bcast);
                   }
               }
           }
@@ -422,13 +446,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
       let apply_mask = !skip_tile && (blk_state != 2u);
       if (apply_mask) {
           // load mask tile into shared memory for this KV block
-          for (var elem_idx = local_id.x; elem_idx < Q_TILE * KV_TILE; elem_idx += WG_SIZE) {
-              let mask_row = elem_idx / KV_TILE;
-              let mask_col = elem_idx % KV_TILE;
-              let global_q_row = q_row_start + mask_row;
-              let global_k_col = kv_tile + mask_col;
-              let mask_in_bounds = global_q_row < params.seq_len_q && global_k_col < params.seq_len_kv;
-              let mask_idx = mask_global_offset + mask_row * params.seq_len_kv + global_k_col;
+          for (var elem_idx = local_id.x; elem_idx < KV_TILE; elem_idx += WG_SIZE) {
+              let global_k_col = kv_tile + elem_idx;
+              let mask_in_bounds = q_row_start < params.seq_len_q && global_k_col < params.seq_len_kv;
+              let mask_idx = mask_global_offset + global_k_col;
               mask_shmem[elem_idx] = select(0.0, mask[mask_idx], mask_in_bounds);
           }
       }
@@ -439,50 +460,40 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
       workgroupBarrier();
 
       // online softmax
-      if (!skip_tile) {
-          for (var q_tile_row = subgroup_id; q_tile_row < Q_TILE; q_tile_row += num_subgroups) {
-              let global_q_row = q_row_start + q_tile_row;
-              if (global_q_row >= params.seq_len_q) {
-                  break;
-              }
-
-              var prev_max = row_max_shmem[q_tile_row];
-              var final_max = prev_max;
-              // pass 1: compute final max across the full KV tile in chunks
-              for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
-                  let kv_idx = kv_offset + sg_inv_id;
-                  let kv_valid = kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE;
-                  let softmax_term = select(FLOAT_MIN,
-                                            calc_softmax_term(kv_idx, q_tile_row, slope, has_bias, apply_mask),
-                                            kv_valid);
-                  final_max = subgroupMax(max(final_max, softmax_term));
-              }
+      if (!skip_tile && subgroup_id == 0u && q_row_start < params.seq_len_q) {
+          var prev_max = row_max;
+          var final_max = prev_max;
+          // pass 1: compute final max across the full KV tile in chunks
+          for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
+              let kv_idx = kv_offset + sg_inv_id;
+              let kv_valid = kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE;
+              let softmax_term = select(FLOAT_MIN,
+                                        calc_softmax_term(kv_idx, slope, has_bias, apply_mask),
+                                        kv_valid);
+              final_max = subgroupMax(max(final_max, softmax_term));
+          }
 
-              var total_exp_term: f32 = 0.0;
-              // pass 2: compute exp sum and write P using final_max
-              for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
-                  let kv_idx = kv_offset + sg_inv_id;
-                  let softmax_term = calc_softmax_term(kv_idx, q_tile_row, slope, has_bias, apply_mask);
-                  let cur_p = select(0.0,
-                                     exp(softmax_term - final_max),
-                                     kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE);
-                  total_exp_term += subgroupAdd(cur_p);
-                  if (kv_idx < KV_TILE) {
-                      inter_shmem[kv_idx + q_tile_row * KV_TILE] = f16(cur_p);
-                  }
+          var total_exp_term: f32 = 0.0;
+          // pass 2: compute exp sum and write P using final_max
+          for (var kv_offset = 0u; kv_offset < KV_TILE; kv_offset += subgroup_size) {
+              let kv_idx = kv_offset + sg_inv_id;
+              let softmax_term = calc_softmax_term(kv_idx, slope, has_bias, apply_mask);
+              let cur_p = select(0.0,
+                                 exp(softmax_term - final_max),
+                                 kv_tile + kv_idx < params.seq_len_kv && kv_idx < KV_TILE);
+              total_exp_term += subgroupAdd(cur_p);
+              if (kv_idx < KV_TILE) {
+                  inter_shmem[kv_idx] = f16(cur_p);
               }
+          }
 
-              let cur_exp = exp(prev_max - final_max);
+          let cur_exp = exp(prev_max - final_max);
 
-              if (sg_inv_id == 0) {
-                  row_max_shmem[q_tile_row] = final_max;
-                  exp_sum_shmem[q_tile_row] = exp_sum_shmem[q_tile_row] * cur_exp + total_exp_term;
-              }
+          row_max = final_max;
+          exp_sum = exp_sum * cur_exp + total_exp_term;
 
-              for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
-                  let idx = q_tile_row * HEAD_DIM_V + elem_idx;
-                  o_shmem[idx] = f16(f32(o_shmem[idx]) * cur_exp);
-              }
+          for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
+              o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * cur_exp);
           }
       }
 
@@ -562,15 +573,13 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
       workgroupBarrier();
 
       if (!skip_tile) {
-          // we have P (Q_TILE x KV_TILE) in inter_shmem and V (KV_TILE x head_dim_v) in kv_shmem
+          // we have P (KV_TILE) in inter_shmem and V (KV_TILE x head_dim_v) in kv_shmem
           // we want to compute O += P * V across the full KV tile
           let ne_threads : u32 = VEC_NE;
           let nl_threads = max(1u, subgroup_size / ne_threads);
           let tx_pv = sg_inv_id % nl_threads;
           let ty_pv = sg_inv_id / nl_threads;
-          for (var q_tile_row = subgroup_id;
-               q_tile_row < Q_TILE;
-               q_tile_row += num_subgroups) {
+          if (subgroup_id == 0u && q_row_start < params.seq_len_q) {
               for (var vec_col = tx_pv; vec_col < (HEAD_DIM_V / 4u); vec_col += nl_threads) {
                   var lo = vec4<f32>(0.0, 0.0, 0.0, 0.0);
                   for (var cc = 0u; cc < KV_TILE / ne_threads; cc += 1u) {
@@ -580,7 +589,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                           continue;
                       }
 
-                      let p = f32(inter_shmem[kv_idx + q_tile_row * KV_TILE]);
+                      let p = f32(inter_shmem[kv_idx]);
 #ifdef KV_DIRECT
                       let v_idx = v_head_offset + v_row * params.stride_v1 + vec_col * 4u;
                       let v4 = vec4<f32>(V[v_idx >> 2u]);
@@ -621,11 +630,10 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
                   if (ty_pv == 0u) {
                       let elem_base = vec_col * 4u;
-                      let o_base_idx = q_tile_row * HEAD_DIM_V + elem_base;
-                      o_shmem[o_base_idx + 0u] = f16(f32(o_shmem[o_base_idx + 0u]) + lo_x);
-                      o_shmem[o_base_idx + 1u] = f16(f32(o_shmem[o_base_idx + 1u]) + lo_y);
-                      o_shmem[o_base_idx + 2u] = f16(f32(o_shmem[o_base_idx + 2u]) + lo_z);
-                      o_shmem[o_base_idx + 3u] = f16(f32(o_shmem[o_base_idx + 3u]) + lo_w);
+                      o_shmem[elem_base + 0u] = f16(f32(o_shmem[elem_base + 0u]) + lo_x);
+                      o_shmem[elem_base + 1u] = f16(f32(o_shmem[elem_base + 1u]) + lo_y);
+                      o_shmem[elem_base + 2u] = f16(f32(o_shmem[elem_base + 2u]) + lo_z);
+                      o_shmem[elem_base + 3u] = f16(f32(o_shmem[elem_base + 3u]) + lo_w);
                   }
               }
           }
@@ -637,70 +645,46 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
 
 #ifdef SINKS
     // Sinks are global terms and must be applied exactly once across split workgroups.
-    if (iwg == 0u) {
-        for (var q_tile_row = subgroup_id;
-             q_tile_row < Q_TILE;
-             q_tile_row += num_subgroups) {
-                let global_q_row = q_row_start + q_tile_row;
-                if (global_q_row >= params.seq_len_q) {
-                    break;
-                }
-
-                var prev_max = row_max_shmem[q_tile_row];
-
-                // for non-sink threads, exp(FLOAT_MIN) effectively zeroes out their contribution to the sum
-                let sink_val = select(FLOAT_MIN, sinks[params.offset_sinks + head_idx], sg_inv_id == 0);
-                let new_max = subgroupMax(max(prev_max, sink_val));
-                let max_exp = exp(prev_max - new_max);
-                let sink_exp = exp(sink_val - new_max);
-
-                let sink_exp_sum = subgroupAdd(sink_exp);
-
-                if (sg_inv_id == 0) {
-                    row_max_shmem[q_tile_row] = new_max;
-                    exp_sum_shmem[q_tile_row] = exp_sum_shmem[q_tile_row] * max_exp + sink_exp_sum;
-                }
-
-            for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
-                let idx = q_tile_row * HEAD_DIM_V + elem_idx;
-                o_shmem[idx] = f16(f32(o_shmem[idx]) * max_exp);
-            }
+    if (iwg == 0u && subgroup_id == 0u && q_row_start < params.seq_len_q) {
+        var prev_max = row_max;
+
+        // for non-sink threads, exp(FLOAT_MIN) effectively zeroes out their contribution to the sum
+        let sink_val = select(FLOAT_MIN, sinks[params.offset_sinks + head_idx], sg_inv_id == 0u);
+        let new_max = subgroupMax(max(prev_max, sink_val));
+        let max_exp = exp(prev_max - new_max);
+        let sink_exp = exp(sink_val - new_max);
+
+        let sink_exp_sum = subgroupAdd(sink_exp);
+
+        row_max = new_max;
+        exp_sum = exp_sum * max_exp + sink_exp_sum;
+
+        for (var elem_idx = sg_inv_id; elem_idx < HEAD_DIM_V; elem_idx += subgroup_size) {
+            o_shmem[elem_idx] = f16(f32(o_shmem[elem_idx]) * max_exp);
         }
-        workgroupBarrier();
     }
+    workgroupBarrier();
 #endif
     let rows_per_batch = params.n_heads * params.seq_len_q;
-    for (var q_tile_row = subgroup_id;
-         q_tile_row < Q_TILE;
-         q_tile_row += num_subgroups) {
-
-        let global_q_row = q_row_start + q_tile_row;
-        if (global_q_row >= params.seq_len_q) { break; }
-
+    if (subgroup_id == 0u && q_row_start < params.seq_len_q) {
         if (params.nwg == 1u) {
-            let exp_sum = exp_sum_shmem[q_tile_row];
             let scale = select(0.0, 1.0 / exp_sum, exp_sum != 0.0);
-            let row_base: u32 =
-                params.offset_dst + batch_idx * dst3_stride + global_q_row * dst2_stride + head_idx * HEAD_DIM_V;
+            let row_base: u32 = params.offset_dst + batch_idx * dst3_stride + q_row_start * dst2_stride +
+                                head_idx * HEAD_DIM_V;
 
             for (var elem_base = sg_inv_id * 4u; elem_base < HEAD_DIM_V; elem_base += subgroup_size * 4u) {
-                let i0 = q_tile_row * HEAD_DIM_V + (elem_base + 0u);
-                let i1 = q_tile_row * HEAD_DIM_V + (elem_base + 1u);
-                let i2 = q_tile_row * HEAD_DIM_V + (elem_base + 2u);
-                let i3 = q_tile_row * HEAD_DIM_V + (elem_base + 3u);
-
                 let v = vec4<f32>(
-                    f32(o_shmem[i0]) * scale,
-                    f32(o_shmem[i1]) * scale,
-                    f32(o_shmem[i2]) * scale,
-                    f32(o_shmem[i3]) * scale
+                    f32(o_shmem[elem_base + 0u]) * scale,
+                    f32(o_shmem[elem_base + 1u]) * scale,
+                    f32(o_shmem[elem_base + 2u]) * scale,
+                    f32(o_shmem[elem_base + 3u]) * scale
                 );
 
                 let dst_vec_index: u32 = (row_base + elem_base) >> 2u;
                 dst[dst_vec_index] = v;
             }
         } else {
-            let rid = batch_idx * rows_per_batch + head_idx * params.seq_len_q + global_q_row;
+            let rid = batch_idx * rows_per_batch + head_idx * params.seq_len_q + q_row_start;
             let tmp_row_data_base = params.tmp_data_base + rid * (HEAD_DIM_V * params.nwg) + iwg * HEAD_DIM_V;
             let tmp_row_stats_base = params.tmp_stats_base + rid * (2u * params.nwg) + 2u * iwg;
 
@@ -708,21 +692,16 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                 elem_base < HEAD_DIM_V;
                 elem_base += subgroup_size * 4u) {
 
-                let i0 = q_tile_row * HEAD_DIM_V + (elem_base + 0u);
-                let i1 = q_tile_row * HEAD_DIM_V + (elem_base + 1u);
-                let i2 = q_tile_row * HEAD_DIM_V + (elem_base + 2u);
-                let i3 = q_tile_row * HEAD_DIM_V + (elem_base + 3u);
-
                 let tbase = tmp_row_data_base + elem_base;
-                tmp[tbase + 0u] = f32(o_shmem[i0]);
-                tmp[tbase + 1u] = f32(o_shmem[i1]);
-                tmp[tbase + 2u] = f32(o_shmem[i2]);
-                tmp[tbase + 3u] = f32(o_shmem[i3]);
+                tmp[tbase + 0u] = f32(o_shmem[elem_base + 0u]);
+                tmp[tbase + 1u] = f32(o_shmem[elem_base + 1u]);
+                tmp[tbase + 2u] = f32(o_shmem[elem_base + 2u]);
+                tmp[tbase + 3u] = f32(o_shmem[elem_base + 3u]);
             }
 
             if (sg_inv_id == 0u) {
-                tmp[tmp_row_stats_base + 0u] = exp_sum_shmem[q_tile_row];
-                tmp[tmp_row_stats_base + 1u] = row_max_shmem[q_tile_row];
+                tmp[tmp_row_stats_base + 0u] = exp_sum;
+                tmp[tmp_row_stats_base + 1u] = row_max;
             }
         }
     }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
index d9eb6a356..5710cd354 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/get_rows.wgsl
@@ -1,6 +1,8 @@
 enable f16;
+#define DECLARE_BYTE_LOADERS_SRC
 #include "common_decls.tmpl"
 
+
 #ifdef F32_VEC
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     dst[(dst_base / 4) + offset] = src[(src_base / 4) + offset];
@@ -25,19 +27,38 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 }
 #endif
 
+#ifdef Q1_0
+fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
+    let block_byte_base = (src_base + offset) * 18;
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    for (var j: u32 = 0u; j < 4u; j++) {
+        let q_packed = load_u32_at_src(block_byte_base + 2u + j * 4u);
+        let dst_base128 = dst_base + offset * 128u + j * 32u;
+        for (var k: u32 = 0; k < 4u; k++) {
+            let q_byte = get_byte(q_packed, k);
+            for (var bit: u32 = 0; bit < 8u; bit++) {
+                let w = select(-d, d, ((q_byte >> bit) & 1u) != 0u);
+                dst[dst_base128 + k * 8u + bit] = w;
+            }
+        }
+    }
+}
+#endif
+
 #ifdef Q4_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q4_0 = src[src_base + offset];
-    let d = f32(block_q4_0.d);
-    for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q4_0.qs[2 * j], block_q4_0.qs[2 * j + 1]));
+    let block_byte_base = (src_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    for (var j: u32 = 0u; j < 4; j++) {
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
-            let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0f) * d;
-            let q_lo = (f32(q_byte & 0xF) - 8.0f) * d;
+            let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
+            let q_lo = (f32(q_byte & 0xFu) - 8.0) * d;
             let dst_offset = dst_base + offset * 32 + j * 4 + k;
             dst[dst_offset] = q_lo;
-            dst[dst_offset + 16] = q_hi;
+            dst[dst_offset + 16u] = q_hi;
         }
     }
 }
@@ -64,17 +85,22 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q5_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q5_0 = src[src_base + offset];
-    let d = f32(block_q5_0.d);
-    let qh_packed = bitcast<u32>(vec2(block_q5_0.qh[0], block_q5_0.qh[1]));
+    let block_byte_base = (src_base + offset) * 22; // Block stride: 22 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    let qh_packed = load_u32_at_src(block_byte_base + 2);
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q5_0.qs[2 * j], block_q5_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 6 + j * 4;
+        let q_packed = load_u32_at_src(q_byte_offset);
+
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
+
             let qh_hi = (qh_packed >> (j * 4 + k + 12)) & 0x10;
             let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
+
             let qh_lo = ((qh_packed >> (j * 4 + k)) << 4) & 0x10;
             let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d;
+
             let dst_offset = dst_base + offset * 32 + j * 4 + k;
             dst[dst_offset] = q_lo;
             dst[dst_offset + 16] = q_hi;
@@ -106,14 +132,15 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q8_0
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block_q8_0 = src[src_base + offset];
-    let d = f32(block_q8_0.d);
-    for (var j: u32 = 0; j < 8; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q8_0.qs[2 * j], block_q8_0.qs[2 * j + 1]));
-        for (var k: u32 = 0; k < 4; k++) {
+    let block_byte_base = (src_base + offset) * 34; // Block stride: 34 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
+    for (var j: u32 = 0u; j < 8u; j++) {
+        let q_byte_offset = block_byte_base + 2u + j * 4u;
+        let q_packed = load_u32_at_src(q_byte_offset);
+        for (var k: u32 = 0u; k < 4u; k++) {
             let q_byte = get_byte_i32(q_packed, k);
             let q_val = f32(q_byte) * d;
-            let dst_offset = dst_base + offset * 32 + j * 4 + k;
+            let dst_offset = dst_base + offset * 32u + j * 4u + k;
             dst[dst_offset] = q_val;
         }
     }
@@ -152,36 +179,42 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef Q3_K
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 110; // Block stride: 110 bytes
 
-    // extract 6-bit scales, which consist of 4-bits from first 8 bytes of scale,
-    // and 2-bits from the last 4 bytes
+    // Bytes 108-109: f16 scale 'd'
+    let d = load_f16_as_f32_at_src(block_byte_base + 108);
+
+    // Bytes 96-107: 12 bytes of scales (3 u32s)
     let kmask1: u32 = 0x03030303;
     let kmask2: u32 = 0x0f0f0f0f;
+
     var scale_vals: array<u32, 4>;
-    for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
-    }
+    scale_vals[0] = load_u32_at_src(block_byte_base + 96);
+    scale_vals[1] = load_u32_at_src(block_byte_base + 100);
+    scale_vals[2] = load_u32_at_src(block_byte_base + 104);
+
     var tmp: u32 = scale_vals[2];
     scale_vals[2] = ((scale_vals[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
     scale_vals[3] = ((scale_vals[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
     scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4);
     scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-31: 32 bytes of hmask (8 u32s)
     var hmask_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        hmask_vals[i] = bitcast<u32>(vec2(block.hmask[2 * i], block.hmask[2 * i + 1]));
+        hmask_vals[i] = load_u32_at_src(block_byte_base + i * 4);
     }
+
+    // Bytes 32-95: 64 bytes of qs (16 u32s)
     var qs_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[2 * i], block.qs[2 * i + 1]));
+    for (var i: u32 = 0u; i < 16; i++) {
+        qs_vals[i] = load_u32_at_src(block_byte_base + 32 + i * 4);
     }
 
     var dst_i = dst_base + offset * 256;
     var is: u32 = 0;
     var m: u32 = 1;
+
     // 2 halves of the block (128 elements each)
     for (var q_b_idx: u32 = 0; q_b_idx < 64; q_b_idx += 32) {
         // 4 groups (each group has 2 blocks of 16 elements)
@@ -191,11 +224,13 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
                 let sc = get_byte(scale_vals[is / 4], is % 4);
                 is++;
                 let dl = d * (f32(sc) - 32.0);
-                for (var l: u32 = 0u; l < 16u; l++) {
+
+                for (var l: u32 = 0; l < 16; l++) {
                     let q_idx = q_b_idx + k + l;
                     let hm_idx = k + l;
                     let q_byte = get_byte(qs_vals[q_idx / 4], q_idx % 4);
                     let hmask_byte = get_byte(hmask_vals[hm_idx / 4], hm_idx % 4);
+
                     let hm = select(4.0, 0.0, (hmask_byte & m) != 0);
                     let qs_val = (q_byte >> shift) & 3;
                     dst[dst_i] = (f32(qs_val) - hm) * dl;
@@ -268,21 +303,27 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 #ifdef Q6_K
 // 16 blocks of 16 elements each
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 210; // Block stride: 210 bytes
 
-    // convert arrays of f16 -> u32
+    // Bytes 208-209: f16 scale 'd'
+    let d = load_f16_as_f32_at_src(block_byte_base + 208);
+
+    // Bytes 0-127: 128 bytes of ql (32 u32s)
     var ql_vals: array<u32, 32>;
     for (var i: u32 = 0; i < 32; i++) {
-        ql_vals[i] = bitcast<u32>(vec2(block.ql[2 * i], block.ql[2 * i + 1]));
+        ql_vals[i] = load_u32_at_src(block_byte_base + i * 4);
     }
+
+    // Bytes 128-191: 64 bytes of qh (16 u32s)
     var qh_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qh_vals[i] = bitcast<u32>(vec2(block.qh[2 * i], block.qh[2 * i + 1]));
+    for (var i: u32 = 0; i < 16u; i++) {
+        qh_vals[i] = load_u32_at_src(block_byte_base + 128 + i * 4u);
     }
+
+    // Bytes 192-207: 16 bytes of scales (4 u32s)
     var scale_vals: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
+        scale_vals[i] = load_u32_at_src(block_byte_base + 192 + i * 4);
     }
 
     var dst_i = dst_base + offset * 256;
@@ -323,12 +364,14 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ2_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 66; // Block stride: 66 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
-        let aux0 = bitcast<u32>(vec2(block.qs[ib], block.qs[ib + 1]));
-        let aux1 = bitcast<u32>(vec2(block.qs[ib + 2], block.qs[ib + 3]));
+        let aux0_offset = block_byte_base + 2 + ib * 2;
+        let aux1_offset = block_byte_base + 2 + (ib + 2) * 2;
+        let aux0 = load_u32_at_src(aux0_offset);
+        let aux1 = load_u32_at_src(aux1_offset);
         let db = d * (0.5 + f32(aux1 >> 28)) * 0.25;
         for (var l: u32 = 0; l < 4; l++) {
             let ig = get_byte(aux0, l) * 8;
@@ -345,15 +388,19 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 }
 #endif
 
+
+
 #ifdef IQ2_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 74; // Block stride: 74 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
+        load_u32_at_src(block_byte_base + 66),
+        load_u32_at_src(block_byte_base + 70)
     );
+
     for (var ib: u32 = 0; ib < 32; ib += 4) {
         let s = get_byte(scale_vals[ib / 16], (ib % 16) / 4);
         let db = array<f32, 2>(
@@ -361,7 +408,8 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
             d * (0.5 + f32(s >> 4)) * 0.25
         );
         for (var l: u32 = 0; l < 4; l++) {
-            let qs_val = bitcast<u32>(vec2(block.qs[ib + l], 0.0));
+            let qs_offset = block_byte_base + 2 + (ib + l) * 2;
+            let qs_val = load_u32_at_src(qs_offset) & 0xFFFF;
             let ig = (qs_val & 511) * 8;
             let is = qs_val >> 9;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
@@ -379,21 +427,23 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ2_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 82; // Block stride: 82 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var qs_vals : array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs_vals[i] = load_u32_at_src(block_byte_base + 2 + i * 4);
     }
-    var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
-    );
-    var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
-    );
+
+    var qh_vals: array<u32, 2>;
+    qh_vals[0] = load_u32_at_src(block_byte_base + 66);
+    qh_vals[1] = load_u32_at_src(block_byte_base + 70);
+
+    var scale_vals: array<u32, 2>;
+    scale_vals[0] = load_u32_at_src(block_byte_base + 74);
+    scale_vals[1] = load_u32_at_src(block_byte_base + 78);
+
     for (var ib: u32 = 0; ib < 8; ib ++) {
         let s = get_byte(scale_vals[ib / 4], ib % 4);
         let db = array<f32, 2>(
@@ -419,16 +469,17 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ3_XXS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 98; // Block stride: 98 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 16; ib += 2) {
-        let sc_sign = bitcast<u32>(vec2(block.qs[ib + 32], block.qs[ib + 33]));
+        let sc_sign_offset = block_byte_base + 2 + (ib + 32) * 2;
+        let sc_sign = load_u32_at_src(sc_sign_offset);
         let db = d * (0.5 + f32(sc_sign >> 28)) * 0.5;
         for (var l: u32 = 0; l < 4; l++) {
             let is = (sc_sign >> (7 * l)) & 127;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
-            let ig_val = bitcast<u32>(vec2(block.qs[ib * 2 + l], 0.0));
+            let ig_val = load_u32_at_src(block_byte_base + 2 + (ib * 2 + l) * 2) & 0xFFFF;
             let ig1 = get_byte(ig_val, 0);
             let ig2 = get_byte(ig_val, 1);
             for (var j: u32 = 0; j < 4; j++) {
@@ -448,18 +499,22 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ3_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 110; // Block stride: 110 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
+
     var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
+        load_u32_at_src(block_byte_base + 66),
+        load_u32_at_src(block_byte_base + 70)
     );
+
     var sign_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        sign_vals[i] = bitcast<u32>(vec2(block.signs[i * 2], block.signs[i * 2 + 1]));
+        sign_vals[i] = load_u32_at_src(block_byte_base + 74 + i * 4);
     }
-    var scale_vals = bitcast<u32>(vec2(block.scales[0], block.scales[1]));
+
+    var scale_vals = load_u32_at_src(block_byte_base + 106);
+
     for (var ib: u32 = 0; ib < 4; ib++) {
         let s = get_byte(scale_vals, ib);
         let db = array<f32, 2>(
@@ -472,7 +527,7 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
             let sign_w = sign_vals[ib * 2 + k];
             for (var l: u32 = 0; l < 4; l++) {
                 let signs = get_byte(sign_w, l);
-                let ig_val = bitcast<u32>(vec2(block.qs[ib * 8 + k * 4 + l], 0.0));
+                let ig_val = load_u32_at_src(block_byte_base + 2 + (ib * 8 + k * 4 + l) * 2) & 0xFFFF;
                 let ig1 = get_byte(ig_val, 0) | ((qh_byte << ((8 - (2 * l)))) & 256);
                 let ig2 = get_byte(ig_val, 1) | ((qh_byte << ((7 - (2 * l)))) & 256);
                 for (var j: u32 = 0; j < 4; j++) {
@@ -493,14 +548,14 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ1_S
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 50; // Block stride: 50 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 8; ib++) {
-        let qh = bitcast<u32>(vec2(block.qh[ib], 0.0));
-        let dl = d * (2 * f32((qh >> 12) & 7) + 1);
+        let qh = load_u32_at_src(block_byte_base + 34 + ib * 2) & 0xFFFF;
+        let dl = d * (2.0 * f32((qh >> 12) & 7) + 1.0);
         let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000) != 0);
-        let qs_w = bitcast<u32>(vec2(block.qs[ib * 2], block.qs[ib * 2 + 1]));
+        let qs_w = load_u32_at_src(block_byte_base + 2 + ib * 4);
         for (var l: u32 = 0; l < 4; l++) {
             let ig = (get_byte(qs_w, l) | (((qh >> (3 * l)) & 7) << 8)) * 8;
             for (var j: u32 = 0; j < 8; j++) {
@@ -560,12 +615,12 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 
 #ifdef IQ4_NL
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
-    let block = src[src_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src(block_byte_base);
     var dst_i = dst_base + offset * 32;
     var qs: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        qs[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs[i] = load_u32_at_src(block_byte_base + 2 + i * 4);
     }
     for (var j: u32 = 0; j < 16; j++) {
         let qsb = get_byte(qs[j / 4], j % 4);
@@ -579,8 +634,8 @@ fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
 #ifdef IQ4_XS
 fn copy_elements(src_base: u32, dst_base: u32, offset: u32) {
     let block = src[src_base + offset];
-    let d = f32(block.d);
-    let scales_h = bitcast<u32>(vec2(block.scales_h, 0.0));
+    let d = unpack2x16float(block.d_scales_h)[0];
+    let scales_h = block.d_scales_h >> 16;
     var dst_i = dst_base + offset * 256;
     for (var ib: u32 = 0; ib < 8; ib++) {
         let ls = ((get_byte(block.scales_l, ib / 2) >> (4 * (ib % 2))) & 0xF) | (((scales_h >> (2 * ib)) & 3) << 4);
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/im2col.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/im2col.wgsl
new file mode 100644
index 000000000..386ebab87
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/im2col.wgsl
@@ -0,0 +1,101 @@
+#include "common_decls.tmpl"
+enable f16;
+
+@group(0) @binding(0)
+#if defined(INPUT_F32)
+var<storage, read_write> input: array<f32>;
+#elif defined(INPUT_F16)
+var<storage, read_write> input: array<f16>;
+#endif
+
+@group(0) @binding(1)
+#if defined(OUTPUT_F32)
+var<storage, read_write> output: array<f32>;
+#elif defined(OUTPUT_F16)
+var<storage, read_write> output: array<f16>;
+#endif
+
+struct Params {
+    offset_i: u32,
+    offset_o: u32,
+
+    // element strides
+    si0: u32, si1: u32, si2: u32, si3: u32,
+    so0: u32, so1: u32, so2: u32, so3: u32,
+
+    KW: u32, KH: u32, IC: u32,
+    IW: u32, IH: u32, N: u32,
+    OW: u32, OH: u32,
+
+    // stride
+    s0: u32, s1: u32,
+    // padding
+    p0: u32, p1: u32,
+    // dilation
+    d0: u32, d1: u32,
+}
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+fn load_input(idx: u32) -> f32 {
+    #if defined(INPUT_F32)
+        return input[idx];
+    #elif defined(INPUT_F16)
+        return f32(input[idx]);
+    #endif
+}
+
+fn store_output(idx: u32, val: f32) {
+    #if defined(OUTPUT_F32)
+        output[idx] = val;
+    #elif defined(OUTPUT_F16)
+        output[idx] = f16(val);
+    #endif
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(global_invocation_id) gid: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+) {
+
+    let threads_per_group = u32(WG_SIZE);
+    let i_out = gid.x + (num_wg.x * threads_per_group) * gid.y;
+    let K = params.KW * params.KH * params.IC;
+    let M = params.OW * params.OH;
+    let total = K * M * params.N;
+
+    if (i_out >= total) {
+        return;
+    }
+
+    // decode (k, m, n)
+    var i = i_out;
+    let n = i / (K * M);
+    i = i % (K * M);
+    let m = i / K;
+    let k = i % K;
+
+    // decode (oh, ow)
+    let oh = m / params.OW;
+    let ow = m % params.OW;
+
+    // decode (kw, kh, ic)
+    let kw = k % params.KW;
+    let tmp = k / params.KW;
+    let kh = tmp % params.KH;
+    let ic = tmp / params.KH;
+
+    let iw_i32 = i32(ow * params.s0 + kw * params.d0) - i32(params.p0);
+    let ih_i32 = i32(oh * params.s1 + kh * params.d1) - i32(params.p1);
+
+    if (iw_i32 >= 0 && iw_i32 < i32(params.IW) && ih_i32 >= 0 && ih_i32 < i32(params.IH)) {
+        let iw = u32(iw_i32);
+        let ih = u32(ih_i32);
+        let in_idx = params.offset_i + iw * params.si0 + ih * params.si1 + ic * params.si2 + n * params.si3;
+        store_output(params.offset_o + k * params.so0 + ow * params.so1 + oh * params.so2 + n * params.so3, load_input(in_idx));
+    } else {
+        store_output(params.offset_o + k * params.so0 + ow * params.so1 + oh * params.so2 + n * params.so3, 0.0);
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
index 5b9f5b362..fcbefdeb8 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat.wgsl
@@ -1,7 +1,9 @@
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
 
+
 #ifdef FLOAT
 const BLOCK_SIZE = 1u;
 
@@ -20,11 +22,12 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q4_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q4_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q4_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q4_0.qs[2 * j], block_q4_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
             let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0f) * d;
@@ -61,12 +64,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q5_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q5_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q5_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 22; // Block stride: 22 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
-    let qh_packed = bitcast<u32>(vec2(block_q5_0.qh[0], block_q5_0.qh[1]));
+    let qh_packed = load_u32_at_src0(block_byte_base + 2);
     for (var j: u32 = 0; j < 4; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q5_0.qs[2 * j], block_q5_0.qs[2 * j + 1]));
+        let q_byte_offset = block_byte_base + 6 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
         for (var k: u32 = 0; k < 4; k++) {
             let q_byte = get_byte(q_packed, k);
             let qh_hi = (qh_packed >> (j * 4 + k + 12)) & 0x10;
@@ -107,12 +111,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef Q8_0
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block_q8_0 = src0[src0_idx_base + offset];
-    let d = f32(block_q8_0.d);
+    let block_byte_base = (src0_idx_base + offset) * 34; // Block stride: 34 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var sum: f32 = 0.0;
     for (var j: u32 = 0; j < 8; j++) {
-        let q_packed = bitcast<u32>(vec2(block_q8_0.qs[2 * j], block_q8_0.qs[2 * j + 1]));
-        for (var k: u32 = 0; k < 4; k++) {
+        let q_byte_offset = block_byte_base + 2 + j * 4;
+        let q_packed = load_u32_at_src0(q_byte_offset);
+        for (var k: u32 = 0u; k < 4u; k++) {
             let q_byte = get_byte_i32(q_packed, k);
             let q_val = f32(q_byte) * d;
             let src1_offset = src1_idx_base + offset * 32 + j * 4 + k;
@@ -178,31 +183,37 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef Q3_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 110; // Block stride: 110 bytes
+
+    // Bytes 108-109: f16 scale 'd'
+    let d = load_f16_as_f32_at_src0(block_byte_base + 108);
 
     // extract 6-bit scales, which consist of 4-bits from first 8 bytes of scale,
     // and 2-bits from the last 4 bytes
+    // Bytes 96-107: 12 bytes of scales (3 u32s)
     let kmask1: u32 = 0x03030303;
     let kmask2: u32 = 0x0f0f0f0f;
     var scale_vals: array<u32, 4>;
-    for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
-    }
+    scale_vals[0] = load_u32_at_src0(block_byte_base + 96);
+    scale_vals[1] = load_u32_at_src0(block_byte_base + 100);
+    scale_vals[2] = load_u32_at_src0(block_byte_base + 104);
+
     var tmp: u32 = scale_vals[2];
     scale_vals[2] = ((scale_vals[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
     scale_vals[3] = ((scale_vals[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
     scale_vals[0] = (scale_vals[0] & kmask2) | ((tmp & kmask1) << 4);
     scale_vals[1] = (scale_vals[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-31: 32 bytes of hmask (8 u32s)
     var hmask_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        hmask_vals[i] = bitcast<u32>(vec2(block.hmask[2 * i], block.hmask[2 * i + 1]));
+        hmask_vals[i] = load_u32_at_src0(block_byte_base + i * 4);
     }
+
+    // Bytes 32-95: 64 bytes of qs (16 u32s)
     var qs_vals: array<u32, 16>;
-    for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[2 * i], block.qs[2 * i + 1]));
+    for (var i: u32 = 0u; i < 16; i++) {
+        qs_vals[i] = load_u32_at_src0(block_byte_base + 32 + i * 4);
     }
 
     var sum = 0.0;
@@ -301,21 +312,27 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef Q6_K
 // 16 blocks of 16 elements each
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 210; // Block stride: 210 bytes
+
+    // Bytes 208-209: f16 scale 'd'
+    let d = load_f16_as_f32_at_src0(block_byte_base + 208);
 
-    // convert arrays of f16 -> u32
+    // Bytes 0-127: 128 bytes of ql (32 u32s)
     var ql_vals: array<u32, 32>;
     for (var i: u32 = 0; i < 32; i++) {
-        ql_vals[i] = bitcast<u32>(vec2(block.ql[2 * i], block.ql[2 * i + 1]));
+        ql_vals[i] = load_u32_at_src0(block_byte_base + i * 4);
     }
+
+    // Bytes 128-191: 64 bytes of qh (16 u32s)
     var qh_vals: array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qh_vals[i] = bitcast<u32>(vec2(block.qh[2 * i], block.qh[2 * i + 1]));
+        qh_vals[i] = load_u32_at_src0(block_byte_base + 128 + i * 4);
     }
+
+    // Bytes 192-207: 16 bytes of scales (4 u32s)
     var scale_vals: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        scale_vals[i] = bitcast<u32>(vec2(block.scales[2 * i], block.scales[2 * i + 1]));
+        scale_vals[i] = load_u32_at_src0(block_byte_base + 192 + i * 4);
     }
 
     var sum = 0.0;
@@ -358,13 +375,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 66; // Block stride: 66 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
-        let aux0 = bitcast<u32>(vec2(block.qs[ib], block.qs[ib + 1]));
-        let aux1 = bitcast<u32>(vec2(block.qs[ib + 2], block.qs[ib + 3]));
+        let aux0_offset = block_byte_base + 2 + ib * 2;
+        let aux1_offset = block_byte_base + 2 + (ib + 2) * 2;
+        let aux0 = load_u32_at_src0(aux0_offset);
+        let aux1 = load_u32_at_src0(aux1_offset);
         let db = d * (0.5 + f32(aux1 >> 28)) * 0.25;
         for (var l: u32 = 0; l < 4; l++) {
             let ig = get_byte(aux0, l) * 8;
@@ -384,13 +403,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 74; // Block stride: 74 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
+        load_u32_at_src0(block_byte_base + 66),
+        load_u32_at_src0(block_byte_base + 70)
     );
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 32; ib += 4) {
         let s = get_byte(scale_vals[ib / 16], (ib % 16) / 4);
@@ -399,7 +420,8 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
             d * (0.5 + f32(s >> 4)) * 0.25
         );
         for (var l: u32 = 0; l < 4; l++) {
-            let qs_val = bitcast<u32>(vec2(block.qs[ib + l], 0.0));
+            let qs_offset = block_byte_base + 2 + (ib + l) * 2;
+            let qs_val = load_u32_at_src0(qs_offset) & 0xFFFF;
             let ig = (qs_val & 511) * 8;
             let is = qs_val >> 9;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
@@ -418,21 +440,23 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ2_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 82; // Block stride: 82 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var qs_vals : array<u32, 16>;
     for (var i: u32 = 0; i < 16; i++) {
-        qs_vals[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs_vals[i] = load_u32_at_src0(block_byte_base + 2 + i * 4);
     }
-    var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
-    );
-    var scale_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.scales[0], block.scales[1])),
-        bitcast<u32>(vec2(block.scales[2], block.scales[3]))
-    );
+
+    var qh_vals: array<u32, 2>;
+    qh_vals[0] = load_u32_at_src0(block_byte_base + 66);
+    qh_vals[1] = load_u32_at_src0(block_byte_base + 70);
+
+    var scale_vals: array<u32, 2>;
+    scale_vals[0] = load_u32_at_src0(block_byte_base + 74);
+    scale_vals[1] = load_u32_at_src0(block_byte_base + 78);
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib ++) {
         let s = get_byte(scale_vals[ib / 4], ib % 4);
@@ -460,17 +484,18 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ3_XXS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 98; // Block stride: 98 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 16; ib += 2) {
-        let sc_sign = bitcast<u32>(vec2(block.qs[ib + 32], block.qs[ib + 33]));
+        let sc_sign_offset = block_byte_base + 2 + (ib + 32) * 2;
+        let sc_sign = load_u32_at_src0(sc_sign_offset);
         let db = d * (0.5 + f32(sc_sign >> 28)) * 0.5;
         for (var l: u32 = 0; l < 4; l++) {
             let is = (sc_sign >> (7 * l)) & 127;
             let signs = get_byte(ksigns_iq2xs[is / 4], is % 4);
-            let ig_val = bitcast<u32>(vec2(block.qs[ib * 2 + l], 0.0));
+            let ig_val = load_u32_at_src0(block_byte_base + 2 + (ib * 2 + l) * 2) & 0xFFFF;
             let ig1 = get_byte(ig_val, 0);
             let ig2 = get_byte(ig_val, 1);
             for (var j: u32 = 0; j < 4; j++) {
@@ -491,18 +516,22 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ3_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 110; // Block stride: 110 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
+
     var qh_vals = array<u32, 2>(
-        bitcast<u32>(vec2(block.qh[0], block.qh[1])),
-        bitcast<u32>(vec2(block.qh[2], block.qh[3]))
+        load_u32_at_src0(block_byte_base + 66),
+        load_u32_at_src0(block_byte_base + 70)
     );
+
     var sign_vals: array<u32, 8>;
     for (var i: u32 = 0; i < 8; i++) {
-        sign_vals[i] = bitcast<u32>(vec2(block.signs[i * 2], block.signs[i * 2 + 1]));
+        sign_vals[i] = load_u32_at_src0(block_byte_base + 74 + i * 4);
     }
-    var scale_vals = bitcast<u32>(vec2(block.scales[0], block.scales[1]));
+
+    var scale_vals = load_u32_at_src0(block_byte_base + 106);
+
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 4; ib++) {
         let s = get_byte(scale_vals, ib);
@@ -516,7 +545,7 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
             let sign_w = sign_vals[ib * 2 + k];
             for (var l: u32 = 0; l < 4; l++) {
                 let signs = get_byte(sign_w, l);
-                let ig_val = bitcast<u32>(vec2(block.qs[ib * 8 + k * 4 + l], 0.0));
+                let ig_val = load_u32_at_src0(block_byte_base + 2 + (ib * 8 + k * 4 + l) * 2) & 0xFFFF;
                 let ig1 = get_byte(ig_val, 0) | ((qh_byte << ((8 - (2 * l)))) & 256);
                 let ig2 = get_byte(ig_val, 1) | ((qh_byte << ((7 - (2 * l)))) & 256);
                 for (var j: u32 = 0; j < 4; j++) {
@@ -538,15 +567,15 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ1_S
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 50; // Block stride: 50 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib++) {
-        let qh = bitcast<u32>(vec2(block.qh[ib], 0.0));
-        let dl = d * (2 * f32((qh >> 12) & 7) + 1);
+        let qh = load_u32_at_src0(block_byte_base + 34 + ib * 2) & 0xFFFF;
+        let dl = d * (2.0 * f32((qh >> 12) & 7) + 1.0);
         let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000) != 0);
-        let qs_w = bitcast<u32>(vec2(block.qs[ib * 2], block.qs[ib * 2 + 1]));
+        let qs_w = load_u32_at_src0(block_byte_base + 2 + ib * 4);
         for (var l: u32 = 0; l < 4; l++) {
             let ig = (get_byte(qs_w, l) | (((qh >> (3 * l)) & 7) << 8)) * 8;
             for (var j: u32 = 0; j < 8; j++) {
@@ -610,13 +639,13 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 
 #ifdef IQ4_NL
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
-    let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
+    let block_byte_base = (src0_idx_base + offset) * 18; // Block stride: 18 bytes
+    let d = load_f16_as_f32_at_src0(block_byte_base);
     var src1_i = src1_idx_base + offset * 32;
     var sum = 0.0;
     var qs: array<u32, 4>;
     for (var i: u32 = 0; i < 4; i++) {
-        qs[i] = bitcast<u32>(vec2(block.qs[i * 2], block.qs[i * 2 + 1]));
+        qs[i] = load_u32_at_src0(block_byte_base + 2 + i * 4);
     }
     for (var j: u32 = 0; j < 16; j++) {
         let qsb = get_byte(qs[j / 4], j % 4);
@@ -631,8 +660,8 @@ fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
 #ifdef IQ4_XS
 fn multiply_add(src0_idx_base: u32, src1_idx_base: u32, offset: u32) -> f32 {
     let block = src0[src0_idx_base + offset];
-    let d = f32(block.d);
-    let scales_h = bitcast<u32>(vec2(block.scales_h, 0.0));
+    let d = unpack2x16float(block.d_scales_h)[0];
+    let scales_h = block.d_scales_h >> 16;
     var src1_i = src1_idx_base + offset * 256;
     var sum = 0.0;
     for (var ib: u32 = 0; ib < 8; ib++) {
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
index eb228537b..51cf08f19 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_decls.tmpl
@@ -42,6 +42,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 }
 #endif // INIT_SRC0_SHMEM_FLOAT
 
+#ifndef MUL_MAT_ID
 #ifdef INIT_SRC1_SHMEM_FLOAT
 fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u32) {
     for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
@@ -58,6 +59,40 @@ fn init_shmem_src1(thread_id: u32, batch_offset: u32, offset_n: u32, k_outer: u3
     }
 }
 #endif // INIT_SRC1_SHMEM_FLOAT
+#endif
+
+#ifdef INIT_SRC0_SHMEM_Q1_0
+const BLOCK_SIZE = 128u;
+const BLOCK_SIZE_BYTES = 18u;
+const NQ = 8u; // 8 weights (1 byte of qs) per thread per iteration
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var i = thread_id * NQ; i < TILE_SRC0_SHMEM; i += TOTAL_WORKGROUP_SIZE * NQ) {
+        let tile_m = i / TILE_K;
+        let tile_k_start = i % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k_start = k_outer + tile_k_start;
+
+        if (global_m >= params.m) {
+            break;
+        }
+
+        let block_k = global_k_start / BLOCK_SIZE;
+        let byte_in_block = (global_k_start % BLOCK_SIZE) / 8u;
+        let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d = load_f16_at_src0(block_byte_base);
+        let q_byte = load_u32_at_src0(block_byte_base + 2u + byte_in_block) & 0xFFu;
+
+        for (var bit = 0u; bit < NQ; bit++) {
+            let global_k = global_k_start + bit;
+            if (global_k < params.k) {
+                shmem[i + bit] = select(-d, d, ((q_byte >> bit) & 1u) != 0u);
+            }
+        }
+    }
+}
+#endif // INIT_SRC0_SHMEM_Q1_0
 
 #ifdef INIT_SRC0_SHMEM_Q4_0
 const BLOCK_SIZE = 32u;
@@ -82,11 +117,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
-            let d = load_src0_f16_at(block_byte_base);
+            let d = load_f16_at_src0(block_byte_base);
 
             for (var j = 0u; j < F16_PER_THREAD; j += 2) {
                 let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte(q_packed, k);
                     let q_hi = (f16((q_byte >> 4) & 0xF) - 8.0) * d;
@@ -123,12 +158,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
-            let d = load_src0_f16_at(block_byte_base);
-            let m = load_src0_f16_at(block_byte_base + 2u);
+            let d = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < F16_PER_THREAD; j += 2) {
                 let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte(q_packed, k);
                     let q_lo = f16(q_byte & 0xF) * d + m;
@@ -169,12 +204,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
             let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-            let d  = load_src0_f16_at(block_byte_base);
-            let qh_packed = load_src0_u32_at(block_byte_base + 2u);
+            let d  = load_f16_at_src0(block_byte_base);
+            let qh_packed = load_u32_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < 2; j++) {
                 let q_byte_offset = block_byte_base + 6u + 2u * (block_offset + j * 2u);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
 
                 let j_adjusted = j + (block_offset / 2u);
 
@@ -223,14 +258,14 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
             let src0_idx  = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-            let d  = load_src0_f16_at(block_byte_base);
-            let m = load_src0_f16_at(block_byte_base + 2u);
-            let qh_packed = load_src0_u32_at(block_byte_base + 4u);
+            let d  = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
+            let qh_packed = load_u32_at_src0(block_byte_base + 4u);
 
             for (var j = 0u; j < 2; j++) {
 
                 let q_byte_offset = block_byte_base + 8u + 2u * (block_offset + j * 2u);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
 
                 let j_adjusted = j + (block_offset / 2u);
 
@@ -275,11 +310,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
-            let d = load_src0_f16_at(block_byte_base);
+            let d = load_f16_at_src0(block_byte_base);
 
             for (var j = 0u; j < F16_PER_THREAD; j+=2) {
                 let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte_i32(q_packed, k);
 
@@ -315,12 +350,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         if (global_m < params.m && global_k < params.k / BLOCK_SIZE) {
             let src0_idx = batch_offset + global_m * params.stride_01 + global_k;
             let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
-            let d = load_src0_f16_at(block_byte_base);
-            let m = load_src0_f16_at(block_byte_base + 2u);
+            let d = load_f16_at_src0(block_byte_base);
+            let m = load_f16_at_src0(block_byte_base + 2u);
 
             for (var j = 0u; j < F16_PER_THREAD; j+=2) {
                 let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
-                let q_packed = load_src0_u32_at(q_byte_offset);
+                let q_packed = load_u32_at_src0(q_byte_offset);
                 for (var k = 0u; k < 4u; k++) {
                     let q_byte = get_byte_i32(q_packed, k);
 
@@ -357,8 +392,8 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
         let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = load_src0_f16_at(block_byte_base + 80u);
-        let dmin = load_src0_f16_at(block_byte_base + 82u);
+        let d = load_f16_at_src0(block_byte_base + 80u);
+        let dmin = load_f16_at_src0(block_byte_base + 82u);
 
         // Decode the element at position k_in_block
         let block_of_32 = k_in_block / 32u;
@@ -371,14 +406,14 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         let is = k_in_block / 16u;
 
-        let sc_packed = load_src0_u32_at(block_byte_base + 4u * (is / 4u));
+        let sc_packed = load_u32_at_src0(block_byte_base + 4u * (is / 4u));
         let sc = get_byte(sc_packed, is % 4u);
 
         let dl = d * f16(sc & 0xFu);
         let ml = dmin * f16(sc >> 4u);
 
         let q_idx = q_b_idx + k + l;
-        let q_packed = load_src0_u32_at(block_byte_base + 16u + 4u * (q_idx / 4u));
+        let q_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (q_idx / 4u));
         let q_byte = get_byte(q_packed, q_idx % 4u);
         let qs_val = (q_byte >> shift) & 3u;
 
@@ -411,7 +446,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
         let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = load_src0_f16_at(block_byte_base + 108u);
+        let d = load_f16_at_src0(block_byte_base + 108u);
 
         // Load and unpack scales
         let kmask1: u32 = 0x03030303u;
@@ -419,7 +454,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         var scale_vals: array<u32, 4>;
         for (var i: u32 = 0u; i < 4u; i++) {
-            scale_vals[i] = load_src0_u32_at(block_byte_base + 96u + 4u * i);
+            scale_vals[i] = load_u32_at_src0(block_byte_base + 96u + 4u * i);
         }
 
         var tmp: u32 = scale_vals[2];
@@ -431,12 +466,12 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         // Load hmask and qs arrays
         var hmask_vals: array<u32, 8>;
         for (var i: u32 = 0u; i < 8u; i++) {
-            hmask_vals[i] = load_src0_u32_at(block_byte_base + 4u * i);
+            hmask_vals[i] = load_u32_at_src0(block_byte_base + 4u * i);
         }
 
         var qs_vals: array<u32, 16>;
         for (var i: u32 = 0u; i < 16u; i++) {
-            qs_vals[i] = load_src0_u32_at(block_byte_base + 32u + 4u * i);
+            qs_vals[i] = load_u32_at_src0(block_byte_base + 32u + 4u * i);
         }
 
         let half = k_in_block / 128u;           // 0 or 1
@@ -497,14 +532,8 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
         let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = load_src0_f16_at(block_byte_base);
-        let dmin = load_src0_f16_at(block_byte_base + 2u);
-
-        // Load packed scales
-        var scale_vals: array<u32, 3>;
-        for (var i: u32 = 0u; i < 3u; i++) {
-            scale_vals[i] = load_src0_u32_at(block_byte_base + 4u + 4u * i);
-        }
+        let d = load_f16_at_src0(block_byte_base);
+        let dmin = load_f16_at_src0(block_byte_base + 2u);
 
         // Map k_in_block to loop structure:
         // Outer loop over 64-element groups (alternating q_b_idx)
@@ -521,15 +550,17 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         var sc: u32;
         var mn: u32;
 
+        let scale_base = block_byte_base + 4u;
+
         if (is < 4u) {
-            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
-            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            let sc_byte = get_byte(load_u32_at_src0(scale_base), is % 4u);
+            let min_byte = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
             sc = sc_byte & 63u;
             mn = min_byte & 63u;
         } else {
-            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
-            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
-            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+            let sc_min_lo = get_byte(load_u32_at_src0(scale_base + 8), (is + 4u) % 4u);
+            let sc_hi = get_byte(load_u32_at_src0(scale_base), (is - 4u) % 4u);
+            let min_hi = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
 
             sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
             mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
@@ -539,7 +570,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let ml = dmin * f16(mn);
 
         let q_idx = q_b_idx + l;
-        let q_packed = load_src0_u32_at(block_byte_base + 16u + 4u * (q_idx / 4u));
+        let q_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (q_idx / 4u));
 
         let q_byte = get_byte(q_packed, q_idx % 4u);
         let qs_val = (q_byte >> shift) & 0xFu;
@@ -573,14 +604,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
         let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
 
-        let d = load_src0_f16_at(block_byte_base);
-        let dmin = load_src0_f16_at(block_byte_base + 2u);
+        let d = load_f16_at_src0(block_byte_base);
+        let dmin = load_f16_at_src0(block_byte_base + 2u);
 
-        // Load packed scales
-        var scale_vals: array<u32, 3>;
-        for (var i: u32 = 0u; i < 3u; i++) {
-            scale_vals[i] = load_src0_u32_at(block_byte_base + 4u + 4u * i);
-        }
 
         // The original loop processes elements in groups of 64
         // Each group of 64: q_b_idx cycles through [0,32,64,96], shift cycles [0,4]
@@ -601,15 +627,17 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         var sc: u32;
         var mn: u32;
 
+        let scale_base = block_byte_base + 4u;
+
         if (is < 4u) {
-            let sc_byte = get_byte(scale_vals[is / 4u], is % 4u);
-            let min_byte = get_byte(scale_vals[(is + 4u) / 4u], is % 4u);
+            let sc_byte = get_byte(load_u32_at_src0(scale_base), is % 4u);
+            let min_byte = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
             sc = sc_byte & 63u;
             mn = min_byte & 63u;
         } else {
-            let sc_min_lo = get_byte(scale_vals[(is + 4u) / 4u], (is + 4u) % 4u);
-            let sc_hi = get_byte(scale_vals[(is - 4u) / 4u], (is - 4u) % 4u);
-            let min_hi = get_byte(scale_vals[is / 4u], is % 4u);
+            let sc_min_lo = get_byte(load_u32_at_src0(scale_base + 8), (is + 4u) % 4u);
+            let sc_hi = get_byte(load_u32_at_src0(scale_base), (is - 4u) % 4u);
+            let min_hi = get_byte(load_u32_at_src0(scale_base + 4), is % 4u);
 
             sc = (sc_min_lo & 0xFu) | ((sc_hi >> 6u) << 4u);
             mn = (sc_min_lo >> 4u) | ((min_hi >> 6u) << 4u);
@@ -619,11 +647,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         let ml = dmin * f16(mn);
 
         let q_idx = q_b_idx + l;
-        let q_packed = load_src0_u32_at(block_byte_base + 48u + 4u * (q_idx / 4u));
+        let q_packed = load_u32_at_src0(block_byte_base + 48u + 4u * (q_idx / 4u));
 
         let q_byte = get_byte(q_packed, q_idx % 4u);
 
-        let qh_packed = load_src0_u32_at(block_byte_base + 16u + 4u * (l / 4u));
+        let qh_packed = load_u32_at_src0(block_byte_base + 16u + 4u * (l / 4u));
 
         let qh_byte = get_byte(qh_packed, l % 4u);
 
@@ -671,17 +699,17 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
 
         // Load only ql13 word needed
         let ql13_flat = ql_b_idx + l;
-        let ql13 = load_src0_u32_at(block_byte_base + ql13_flat);
+        let ql13 = load_u32_at_src0(block_byte_base + ql13_flat);
         let ql13_b = get_byte(ql13, 0u);
 
         // Load only ql24 word needed
         let ql24_flat = ql_b_idx + l + 32u;
-        let ql24 = load_src0_u32_at(block_byte_base + ql24_flat);
+        let ql24 = load_u32_at_src0(block_byte_base + ql24_flat);
         let ql24_b = get_byte(ql24, 0u);
 
         // Load only qh word needed
         let qh_flat = qh_b_idx + l;
-        let qh = load_src0_u32_at(block_byte_base + 128u + qh_flat);
+        let qh = load_u32_at_src0(block_byte_base + 128u + qh_flat);
         let qh_b = get_byte(qh, 0u);
 
         let q1 = f16((ql13_b & 0xFu) | ((qh_b & 3u) << 4u)) - f16(32.0);
@@ -692,10 +720,10 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
         // Load only the scale word needed
         let is = l / 16u;
         let sc_idx = sc_b_idx + is + quarter * 2u;
-        let sc = load_src0_u32_at(block_byte_base + 192u + sc_idx);
+        let sc = load_u32_at_src0(block_byte_base + 192u + sc_idx);
         let sc_val = get_byte_i32(sc, 0u);
 
-        let d = load_src0_f16_at(block_byte_base + 208u);
+        let d = load_f16_at_src0(block_byte_base + 208u);
 
         var q_val: f16;
         if (quarter == 0u) {
@@ -712,3 +740,426 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
     }
 }
 #endif // INIT_SRC0_SHMEM_Q6_K
+
+#ifdef INIT_SRC0_SHMEM_IQ4_NL
+const BLOCK_SIZE = 32u;
+const BLOCK_SIZE_BYTES = 18u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_at_src0(block_byte_base);
+
+        let pos       = k_in_block % 16u;
+        let nib_shift = (k_in_block / 16u) * 4u;
+        let q_packed  = load_u32_at_src0(block_byte_base + 2u + (pos / 4u) * 4u);
+        let nib       = (get_byte(q_packed, pos % 4u) >> nib_shift) & 0xFu;
+
+        shmem[elem_idx] = d * f16(kvalues_iq4nl[nib]);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ4_NL
+
+#ifdef INIT_SRC0_SHMEM_IQ4_XS
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 136u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+
+        let d_scales_h = load_u32_at_src0(block_byte_base);
+        let d          = bitcast<vec2<f16>>(d_scales_h).x;
+        let scales_h   = d_scales_h >> 16u;
+
+        let ib  = k_in_block / 32u;
+        let pos = k_in_block % 32u;
+
+        let scales_l_word = load_u32_at_src0(block_byte_base + 4u);
+        let ls_lo         = (get_byte(scales_l_word, ib / 2u) >> ((ib & 1u) * 4u)) & 0xFu;
+        let ls_hi         = ((scales_h >> (2u * ib)) & 3u) << 4u;
+        let dl            = d * f16(i32(ls_lo | ls_hi) - 32);
+
+        let iqs       = ib * 16u + (pos % 16u);
+        let nib_shift = (pos / 16u) * 4u;
+        let q_packed  = load_u32_at_src0(block_byte_base + 8u + (iqs / 4u) * 4u);
+        let nib       = (get_byte(q_packed, iqs % 4u) >> nib_shift) & 0xFu;
+
+        shmem[elem_idx] = dl * f16(kvalues_iq4nl[nib]);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ4_XS
+
+#ifdef INIT_SRC0_SHMEM_IQ1_S
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 50u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let ib  = k_in_block / 32u;
+        let pos = k_in_block % 32u;
+        let l   = pos / 8u;
+        let j   = pos % 8u;
+
+        let qh    = load_u32_at_src0(block_byte_base + 34u + ib * 2u) & 0xFFFFu;
+        let dl    = d * (2.0 * f32((qh >> 12u) & 7u) + 1.0);
+        let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u);
+
+        let qs_w = load_u32_at_src0(block_byte_base + 2u + ib * 4u);
+        let ig   = (get_byte(qs_w, l) | (((qh >> (3u * l)) & 7u) << 8u)) * 8u;
+
+        let gw = iq1_grid[(ig + j) / 16u];
+        let g  = (gw >> (((ig + j) % 16u) * 2u)) & 3u;
+        let gs = bitcast<i32>(g << 30u) >> 30u;
+
+        shmem[elem_idx] = f16(dl * (f32(gs) + delta));
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ1_S
+
+#ifdef INIT_SRC0_SHMEM_IQ1_M
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 56u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+
+        let scales0 = load_u32_at_src0(block_byte_base + 48u);
+        let scales1 = load_u32_at_src0(block_byte_base + 52u);
+        let scale_packed = ((scales0 >> 12u) & 0xFu) |
+                           ((scales0 >> 24u) & 0x00F0u) |
+                           ((scales1 >>  4u) & 0x0F00u) |
+                           ((scales1 >> 16u) & 0xF000u);
+        let d = f32(bitcast<vec2<f16>>(scale_packed).x);
+
+        let ib  = k_in_block / 32u;
+        let pos = k_in_block % 32u;
+        let l   = pos / 8u;
+        let j   = pos % 8u;
+
+        let scales = select(scales0, scales1, ib >= 4u);
+        let sw = (scales >> (16u * ((ib / 2u) % 2u))) & 0xFFFFu;
+        let s_pair = (sw >> (6u * (ib % 2u) + 3u * (l / 2u))) & 0x7u;
+        let dl     = d * f32(2u * s_pair + 1u);
+
+        let qh_word = load_u32_at_src0(block_byte_base + 32u + (ib / 2u) * 4u);
+        let qh      = qh_word >> (16u * (ib % 2u));
+        let qh_nib  = (qh >> (4u * l)) & 0xFu;
+
+        let qs_w = load_u32_at_src0(block_byte_base + ib * 4u);
+        let idx  = get_byte(qs_w, l) | ((qh_nib & 7u) << 8u);
+        let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_nib & 0x8u) != 0u);
+
+        let ig = idx * 8u;
+        let gw = iq1_grid[(ig + j) / 16u];
+        let g  = (gw >> (((ig + j) % 16u) * 2u)) & 3u;
+        let gs = bitcast<i32>(g << 30u) >> 30u;
+
+        shmem[elem_idx] = f16(dl * (f32(gs) + delta));
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ1_M
+
+#ifdef INIT_SRC0_SHMEM_IQ2_XXS
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 66u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let entry_idx = k_in_block / 8u;
+        let j         = k_in_block % 8u;
+
+        let ib = entry_idx & ~3u;
+        let l  = entry_idx & 3u;
+
+        let aux0 = load_u32_at_src0(block_byte_base + 2u + ib * 2u);
+        let aux1 = load_u32_at_src0(block_byte_base + 2u + (ib + 2u) * 2u);
+        let db   = d * (0.5 + f32(aux1 >> 28u)) * 0.25;
+
+        let ig    = get_byte(aux0, l) * 8u;
+        let is    = (aux1 >> (7u * l)) & 127u;
+        let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
+
+        let g = get_byte(iq2xxs_grid[(ig + j) / 4u], (ig + j) % 4u);
+        let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
+
+        shmem[elem_idx] = f16(db * f32(g) * m);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ2_XXS
+
+#ifdef INIT_SRC0_SHMEM_IQ2_XS
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 74u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let entry_idx = k_in_block / 8u;
+        let j         = k_in_block % 8u;
+
+        let ib = entry_idx & ~3u;
+        let l  = entry_idx & 3u;
+
+        let scales_word = load_u32_at_src0(block_byte_base + 66u + (ib / 16u) * 4u);
+        let s           = get_byte(scales_word, (ib % 16u) / 4u);
+        let s_nib       = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u);
+        let dl          = d * (0.5 + f32(s_nib)) * 0.25;
+
+        let qs_word = load_u32_at_src0(block_byte_base + 2u + (ib + l) * 2u);
+        let qs_val  = qs_word & 0xFFFFu;
+        let ig      = (qs_val & 511u) * 8u;
+        let is      = qs_val >> 9u;
+        let signs   = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
+
+        let g = get_byte(iq2xs_grid[(ig + j) / 4u], (ig + j) % 4u);
+        let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
+
+        shmem[elem_idx] = f16(dl * f32(g) * m);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ2_XS
+
+#ifdef INIT_SRC0_SHMEM_IQ2_S
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 82u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let ib = k_in_block / 32u;
+        let l  = (k_in_block % 32u) / 8u;
+        let j  = k_in_block % 8u;
+
+        let scales_word = load_u32_at_src0(block_byte_base + 74u + (ib / 4u) * 4u);
+        let s           = get_byte(scales_word, ib % 4u);
+        let s_nib       = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u);
+        let dl          = d * (0.5 + f32(s_nib)) * 0.25;
+
+        let qs_word = load_u32_at_src0(block_byte_base + 2u + ib * 4u);
+        let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 4u) * 4u);
+        let qh_b    = (get_byte(qh_word, ib % 4u) << (8u - 2u * l)) & 0x300u;
+        let ig      = (get_byte(qs_word, l) | qh_b) * 8u;
+
+        let signs_word = load_u32_at_src0(block_byte_base + 34u + ib * 4u);
+        let signs      = get_byte(signs_word, l);
+
+        let g = get_byte(iq2s_grid[(ig + j) / 4u], (ig + j) % 4u);
+        let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
+
+        shmem[elem_idx] = f16(dl * f32(g) * m);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ2_S
+
+#ifdef INIT_SRC0_SHMEM_IQ3_XXS
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 98u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let ib_pair = k_in_block / 32u;
+        let in_pair = k_in_block % 32u;
+        let l       = in_pair / 8u;
+        let in_l    = in_pair % 8u;
+        let k2      = in_l / 4u;
+        let j       = in_l % 4u;
+
+        let ib            = ib_pair * 2u;
+        let sc_sign_off   = block_byte_base + 2u + (ib + 32u) * 2u;
+        let sc_sign       = load_u32_at_src0(sc_sign_off);
+        let db            = d * (0.5 + f32(sc_sign >> 28u)) * 0.5;
+        let is            = (sc_sign >> (7u * l)) & 127u;
+        let signs         = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
+
+        let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 2u + l) * 2u) & 0xFFFFu;
+        let ig_byte = get_byte(ig_word, k2);
+        let g       = get_byte(iq3xxs_grid[ig_byte], j);
+        let m       = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u);
+
+        shmem[elem_idx] = f16(db * f32(g) * m);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ3_XXS
+
+#ifdef INIT_SRC0_SHMEM_IQ3_S
+const BLOCK_SIZE = 256u;
+const BLOCK_SIZE_BYTES = 110u;
+
+fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
+    for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
+        let tile_m = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        let global_m = offset_m + tile_m;
+        let global_k = k_outer + tile_k;
+
+        if (global_m >= params.m || global_k >= params.k) {
+            shmem[elem_idx] = f16(0.0);
+            continue;
+        }
+
+        let block_k    = global_k / BLOCK_SIZE;
+        let k_in_block = global_k % BLOCK_SIZE;
+
+        let src0_idx        = batch_offset + global_m * params.stride_01 + block_k;
+        let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
+        let d               = load_f16_as_f32_at_src0(block_byte_base);
+
+        let ib   = k_in_block / 64u;
+        let rest = k_in_block % 64u;
+        let k    = rest / 32u;
+        let in_k = rest % 32u;
+        let l    = in_k / 8u;
+        let in_l = in_k % 8u;
+        let k2   = in_l / 4u;
+        let j    = in_l % 4u;
+
+        let scales_word = load_u32_at_src0(block_byte_base + 106u);
+        let s           = get_byte(scales_word, ib);
+        let s_nib       = select(s & 0xFu, (s >> 4u) & 0xFu, k != 0u);
+        let dl          = d * (1.0 + 2.0 * f32(s_nib));
+
+        let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 2u) * 4u);
+        let qh_byte = get_byte(qh_word, (ib % 2u) * 2u + k);
+
+        let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 8u + k * 4u + l) * 2u) & 0xFFFFu;
+        let ig_lo   = get_byte(ig_word, 0u) | ((qh_byte << (8u - 2u * l)) & 256u);
+        let ig_hi   = get_byte(ig_word, 1u) | ((qh_byte << (7u - 2u * l)) & 256u);
+        let ig      = select(ig_lo, ig_hi, k2 != 0u);
+
+        let signs_word = load_u32_at_src0(block_byte_base + 74u + (ib * 2u + k) * 4u);
+        let signs      = get_byte(signs_word, l);
+
+        let g = get_byte(iq3s_grid[ig], j);
+        let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u);
+
+        shmem[elem_idx] = f16(dl * f32(g) * m);
+    }
+}
+#endif // INIT_SRC0_SHMEM_IQ3_S
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl
new file mode 100644
index 000000000..91039ff25
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id.wgsl
@@ -0,0 +1,195 @@
+enable f16;
+
+#define DECLARE_BYTE_LOADERS_SRC0
+#include "common_decls.tmpl"
+
+#include "mul_mat_decls.tmpl"
+
+#ifdef VEC
+fn store_val(acc: array<array<f16, TILE_M>, TILE_N>, tn: u32, tm: u32) -> vec4<f32> {
+    return vec4<f32>(f32(acc[tn][tm]), f32(acc[tn][tm + 1]), f32(acc[tn][tm + 2]), f32(acc[tn][tm + 3]));
+}
+#endif
+
+#ifdef SCALAR
+fn store_val(acc: array<array<f16, TILE_M>, TILE_N>, tn: u32, tm: u32) -> f32 {
+    return f32(acc[tn][tm]);
+}
+#endif
+
+struct MulMatIdParams {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_dst: u32,
+
+    k: u32,
+    m: u32,
+    n_expert: u32,
+    n_expert_used: u32,
+    n_tokens: u32,
+    b_ne1: u32,
+
+    stride_01: u32,
+    stride_11: u32,
+    stride_02: u32,
+    stride_12: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // [cols, rows, n_expert]
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // [cols, b_ne1, n_tokens]
+@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>;   // [rows, n_expert_used, n_tokens]
+@group(0) @binding(3) var<storage, read_write> global_gathered_expert_used: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(4) var<storage, read_write> global_gathered_tokens: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(5) var<storage, read_write> gathered_count_ids: array<u32>; // [n_expert]
+
+@group(0) @binding(6) var<uniform> params: MulMatIdParams;
+
+fn get_local_n(thread_id: u32) -> u32 {
+    return thread_id / WORKGROUP_SIZE_M;
+}
+fn get_local_m(thread_id: u32) -> u32 {
+    return thread_id % WORKGROUP_SIZE_M;
+}
+
+const TOTAL_WORKGROUP_SIZE = WORKGROUP_SIZE_M * WORKGROUP_SIZE_N;
+const TILE_SRC0_SHMEM = TILE_K * WORKGROUP_SIZE_M * TILE_M;
+const TILE_SRC1_SHMEM = TILE_K * WORKGROUP_SIZE_N * TILE_N;
+
+var<workgroup> shmem: array<f16, TILE_SRC0_SHMEM + TILE_SRC1_SHMEM>;
+var<workgroup> gathered_expert_used: array<u32, TILE_N * WORKGROUP_SIZE_N>;
+var<workgroup> gathered_tokens: array<u32, TILE_N * WORKGROUP_SIZE_N>;
+
+#ifdef INIT_SRC1_SHMEM_FLOAT
+fn init_shmem_id_src1(thread_id: u32, offset_src1: u32, rest_token_n: u32, k_outer: u32) {
+    for (var elem_idx = thread_id * VEC_SIZE; elem_idx < TILE_SRC1_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE * VEC_SIZE) {
+        let tile_n = elem_idx / TILE_K;
+        let tile_k = elem_idx % TILE_K;
+        if (tile_n < rest_token_n) {
+            let global_src10 = k_outer + tile_k;
+            let expert_used_idx = gathered_expert_used[tile_n] % params.b_ne1;
+            let token_idx = gathered_tokens[tile_n];
+            let src1_idx = offset_src1 + token_idx * params.stride_12 + expert_used_idx * params.stride_11 + global_src10;
+            let src1_val = select(
+                SRC1_TYPE(0.0),
+                src1[src1_idx/VEC_SIZE],
+                global_src10 < params.k);
+            store_shmem(SHMEM_TYPE(src1_val), TILE_SRC0_SHMEM + elem_idx);
+        } else {
+            store_shmem(SHMEM_TYPE(0.0), TILE_SRC0_SHMEM + elem_idx);
+        }
+    }
+}
+#endif // INIT_SRC1_SHMEM_FLOAT
+
+@compute @workgroup_size(TOTAL_WORKGROUP_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
+
+    let thread_id = local_id.x;
+    let local_m = get_local_m(thread_id);
+    let local_n = get_local_n(thread_id);
+
+    var expert_idx:u32 = 0xFFFFFFFFu;
+    var wg_in_batch:u32 = 0;
+    var wg_sum:u32 = 0;
+    let wg_m_count = (params.m + WORKGROUP_SIZE_M * TILE_M - 1u) / (WORKGROUP_SIZE_M * TILE_M);
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    for (var i = 0u;i < params.n_expert;i += 1) {
+        let wg_n_count = (gathered_count_ids[i] + WORKGROUP_SIZE_N * TILE_N - 1u) / (WORKGROUP_SIZE_N * TILE_N);
+        let wg_per_matrix = wg_m_count * wg_n_count;
+        if (wg_sum <= wg_linear && wg_linear < wg_sum + wg_per_matrix) {
+            expert_idx = i;
+            wg_in_batch = wg_linear - wg_sum;
+            break;
+        }
+        wg_sum += wg_per_matrix;
+    }
+
+    let is_valid = expert_idx != 0xFFFFFFFFu;
+
+    var wg_m: u32 = 0;
+    var wg_n: u32 = 0;
+    var offset_wg_m: u32 = 0;
+    var offset_wg_n: u32 = 0;
+    var rest_token_n: u32 = 0;
+    var src0_batch_offset: u32 = 0;
+
+    wg_m = wg_in_batch % wg_m_count;
+    wg_n = wg_in_batch / wg_m_count;
+
+    offset_wg_m = wg_m * WORKGROUP_SIZE_M * TILE_M;
+    offset_wg_n = wg_n * WORKGROUP_SIZE_N * TILE_N;
+
+    if (is_valid) {
+        rest_token_n = gathered_count_ids[expert_idx] - offset_wg_n;
+        let global_gathered_base = expert_idx * params.n_tokens + offset_wg_n;
+        for (var i = thread_id; i < TILE_N * WORKGROUP_SIZE_N && offset_wg_n + i < gathered_count_ids[expert_idx]; i += TOTAL_WORKGROUP_SIZE) {
+            gathered_expert_used[i] = global_gathered_expert_used[global_gathered_base + i];
+            gathered_tokens[i] = global_gathered_tokens[global_gathered_base + i];
+        }
+        src0_batch_offset = params.offset_src0 + expert_idx * params.stride_02;
+    }
+
+    workgroupBarrier();
+
+    let output_row_base = offset_wg_m + local_m * TILE_M;
+    let output_col_base = offset_wg_n + local_n * TILE_N;
+
+    let dst2_stride = params.m * params.n_expert_used;
+    let dst1_stride = params.m;
+
+    var acc: array<array<f16, TILE_M>, TILE_N>;
+
+    for (var k_outer = 0u; k_outer < params.k; k_outer += TILE_K) {
+
+        if (is_valid) {
+            init_shmem_src0(thread_id, src0_batch_offset, offset_wg_m, k_outer);
+            init_shmem_id_src1(thread_id, params.offset_src1, rest_token_n, k_outer);
+        }
+
+        workgroupBarrier();
+
+        if (is_valid) {
+            let k_end = min(TILE_K, params.k - k_outer);
+
+            for (var k_inner = 0u; k_inner < k_end; k_inner++) {
+                var src0_tile: array<f16, TILE_M>;
+                for (var tm = 0u; tm < TILE_M; tm++) {
+                    let src0_m = local_m * TILE_M + tm;
+                    let src0_idx = k_inner + src0_m * TILE_K;
+                    src0_tile[tm] = shmem[src0_idx];
+                }
+                for (var tn = 0u; tn < TILE_N; tn++) {
+                    let src1_n = local_n * TILE_N + tn;
+                    let src1_idx = src1_n * TILE_K + k_inner;
+                    let src1_val = shmem[TILE_SRC0_SHMEM + src1_idx];
+                    for (var tm = 0u; tm < TILE_M; tm++) {
+                        acc[tn][tm] += src0_tile[tm] * src1_val;
+                    }
+                }
+            }
+        }
+
+        workgroupBarrier();
+    }
+
+    if (is_valid) {
+        for (var tn = 0u; tn < TILE_N; tn++) {
+            let n_idx = output_col_base + tn;
+            if (n_idx < gathered_count_ids[expert_idx]) {
+                let dst1_idx = gathered_expert_used[n_idx - offset_wg_n];
+                let dst2_idx = gathered_tokens[n_idx - offset_wg_n];
+                let dst12_offset = params.offset_dst + dst2_idx * dst2_stride + dst1_idx * dst1_stride;
+                for (var tm = 0u; tm < TILE_M; tm += VEC_SIZE) {
+                    let global_row = output_row_base + tm;
+                    if (global_row < params.m) {
+                        let dst_idx = dst12_offset + global_row;
+                        dst[dst_idx/VEC_SIZE] = store_val(acc, tn, tm);
+                    }
+                }
+            }
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl
new file mode 100644
index 000000000..d79d5f3f2
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_gather.wgsl
@@ -0,0 +1,55 @@
+enable f16;
+
+struct MulMatIdGatherParams {
+    offset_ids: u32,
+
+    n_expert: u32,
+    n_expert_used: u32,
+    n_tokens: u32,
+
+    stride_ids_1: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> ids: array<i32>;        // [n_expert_used, n_tokens]
+@group(0) @binding(1) var<storage, read_write> global_gathered_expert_used: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(2) var<storage, read_write> global_gathered_tokens: array<u32>; // [n_expert][n_tokens]
+@group(0) @binding(3) var<storage, read_write> gathered_count_ids: array<u32>; // [n_expert]
+
+@group(0) @binding(4) var<uniform> params: MulMatIdGatherParams;
+
+var<workgroup> count:atomic<u32>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
+        @builtin(local_invocation_id) local_id: vec3<u32>,
+        @builtin(num_workgroups) num_wg: vec3<u32>) {
+
+    let thread_id = local_id.x;
+    let own_expert = wg_id.y * num_wg.x + wg_id.x; // the expert assigned to this workgroup
+
+    if (own_expert < params.n_expert) {
+        if (thread_id == 0u) {
+            atomicStore(&count, 0);
+        }
+
+        workgroupBarrier();
+
+        for (var i = thread_id;i < params.n_expert_used * params.n_tokens;i += WG_SIZE) {
+            let row = i / params.n_expert_used;
+            let col = i % params.n_expert_used;
+            let expert = u32(ids[params.offset_ids + row * params.stride_ids_1 + col]);
+            if (own_expert == expert) {
+                let pos = atomicAdd(&count, 1u);
+                let gathered_id = own_expert * params.n_tokens + pos;
+                global_gathered_expert_used[gathered_id] = col;
+                global_gathered_tokens[gathered_id] = row;
+            }
+        }
+
+        workgroupBarrier();
+
+        if (thread_id == 0u) {
+            gathered_count_ids[own_expert] = atomicLoad(&count);
+        }
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl
new file mode 100644
index 000000000..6ff9bcf2d
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_id_vec.wgsl
@@ -0,0 +1,154 @@
+#ifdef USE_SUBGROUP_REDUCTION
+enable subgroups;
+#endif
+enable f16;
+
+#define DECLARE_BYTE_LOADERS_SRC0
+#include "common_decls.tmpl"
+
+#include "mul_mat_vec_acc.tmpl"
+
+struct MulMatIdVecParams {
+    offset_src0: u32,
+    offset_src1: u32,
+    offset_ids: u32,
+    offset_dst: u32,
+
+    k: u32,
+    m: u32,
+    n_expert: u32,
+    n_expert_used: u32,
+    b_ne1: u32,
+
+    stride_01: u32,
+    stride_11: u32,
+    stride_02: u32,
+    stride_12: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // [cols, rows, n_expert]
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // [cols, b_ne1, n_tokens(1)]
+@group(0) @binding(2) var<storage, read_write> ids: array<u32>;        // [n_experd_used, n_tokens(1)]
+@group(0) @binding(3) var<storage, read_write> dst: array<f32>;   // [rows, n_expert_used, n_tokens(1)]
+
+// "mul_mat_vec_acc.tmpl" requires params.k, params.m, params.stride_01
+@group(0) @binding(4) var<uniform> params: MulMatIdVecParams;
+
+// Flattened as [row][thread] to keep each row's reduction contiguous in memory.
+var<workgroup> partial_sums: array<f32, OUTPUTS_PER_WG * WG_SIZE>;
+
+fn partial_index(row: u32, thread: u32) -> u32 {
+    return row * WG_SIZE + thread;
+}
+
+var<workgroup> gathered_count_ids: array<u32, N_EXPERTS>;
+var<workgroup> gathered_expert_used: array<u32, N_EXPERTS>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(local_invocation_id) local_id: vec3<u32>,
+    @builtin(workgroup_id) wg_id: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+#ifdef USE_SUBGROUP_REDUCTION
+  , @builtin(subgroup_id) subgroup_id: u32,
+    @builtin(subgroup_invocation_id) subgroup_invocation_id: u32,
+    @builtin(num_subgroups) num_subgroups: u32,
+    @builtin(subgroup_size) subgroup_size: u32
+#endif
+) {
+
+    let thread_id = local_id.x;
+
+    for (var i = thread_id;i < params.n_expert;i += WG_SIZE) {
+        gathered_count_ids[i] = 0;
+    }
+
+    workgroupBarrier();
+
+    // gather the selected experts for the target token.
+    for (var col = thread_id;col < params.n_expert_used;col += WG_SIZE) {
+        let expert = ids[params.offset_ids + col];
+        gathered_count_ids[expert] = 1;
+        gathered_expert_used[expert] = col;
+    }
+
+    workgroupBarrier();
+
+    let output_groups:u32 = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    var own_expert:u32 = 0;
+    var wg_in_batch:u32 = 0;
+    var wg_sum:u32 = 0;
+
+    for (var i = 0u;i < params.n_expert;i += 1) {
+        let wg_vec_count = gathered_count_ids[i]; // 1 or 0
+        let wg_per_matrix = output_groups * wg_vec_count;
+        if (wg_sum <= wg_linear && wg_linear < wg_sum + wg_per_matrix) {
+            own_expert = i;
+            wg_in_batch = wg_linear - wg_sum;
+            break;
+        }
+        wg_sum += wg_per_matrix;
+    }
+
+    let row_base = (wg_linear % output_groups) * OUTPUTS_PER_WG;
+    let dst1_stride = params.m;
+
+    let src0_batch_offset = params.offset_src0 + own_expert * params.stride_02;
+    let src1_idx_base = params.offset_src1 + (gathered_expert_used[own_expert] % params.b_ne1) * params.stride_11;
+    let dst_idx_base = params.offset_dst + gathered_expert_used[own_expert] * dst1_stride + row_base;
+
+    let acc = accumulate_vec_dot(thread_id, row_base, src0_batch_offset, src1_idx_base);
+
+#ifdef USE_SUBGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        let subgroup_total = subgroupAdd(acc[row]);
+        if (subgroup_invocation_id == 0u) {
+            partial_sums[partial_index(row, subgroup_id)] = subgroup_total;
+        }
+    }
+
+    workgroupBarrier();
+
+    for (var row = subgroup_id; (row < OUTPUTS_PER_WG) && (row_base + row < params.m); row += num_subgroups) {
+        let output_row = row_base + row;
+        var row_acc = 0.0f;
+        for (var k = subgroup_invocation_id; k < num_subgroups; k += subgroup_size) {
+            row_acc += partial_sums[partial_index(row, k)];
+        }
+        let row_total = subgroupAdd(row_acc);
+        if (subgroup_invocation_id == 0) {
+            dst[dst_idx_base + row] = row_total;
+        }
+    }
+#endif
+
+#ifdef USE_WORKGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        partial_sums[partial_index(row, thread_id)] = acc[row];
+    }
+
+    workgroupBarrier();
+
+    var stride:u32 = WG_SIZE / 2u;
+
+    while (stride > 0) {
+        if (thread_id < stride) {
+            for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+                partial_sums[partial_index(row, thread_id)] += partial_sums[partial_index(row, thread_id + stride)];
+            }
+        }
+
+        workgroupBarrier();
+        stride = stride / 2;
+    }
+
+    if (thread_id < OUTPUTS_PER_WG) {
+        let output_row = row_base + thread_id;
+        if (output_row < params.m) {
+            dst[dst_idx_base + thread_id] = partial_sums[partial_index(thread_id, 0)];
+        }
+    }
+#endif
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
index b1da421a6..98bbdeb83 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_reg_tile.wgsl
@@ -1,17 +1,19 @@
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
+
 #include "mul_mat_decls.tmpl"
 
 #ifdef VEC
-fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> {
-    return vec4<f32>(f32(acc[tm][tn]), f32(acc[tm + 1][tn]), f32(acc[tm + 2][tn]), f32(acc[tm + 3][tn]));
+fn store_val(acc: array<array<f32, TILE_N>, TILE_M>, tn: u32, tm: u32) -> vec4<f32> {
+    return vec4<f32>(acc[tm][tn], acc[tm + 1][tn], acc[tm + 2][tn], acc[tm + 3][tn]);
 }
 #endif
 
 #ifdef SCALAR
-fn store_val(acc: array<array<f16, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 {
-    return f32(acc[tm][tn]);
+fn store_val(acc: array<array<f32, TILE_N>, TILE_M>, tn: u32, tm: u32) -> f32 {
+    return acc[tm][tn];
 }
 #endif
 
@@ -98,7 +100,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
     let offset_m = wg_m * WORKGROUP_SIZE_M * TILE_M;
     let offset_n = wg_n * WORKGROUP_SIZE_N * TILE_N;
 
-    var acc: array<array<f16, TILE_N>, TILE_M>;
+    var acc: array<array<f32, TILE_N>, TILE_M>;
 
     for (var k_outer = 0u; k_outer < params.k; k_outer += TILE_K) {
 
@@ -122,7 +124,7 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
                 let src1_idx = src1_n * TILE_K + k_inner;
                 let src1_val = shmem[TILE_SRC0_SHMEM + src1_idx];
                 for (var tm = 0u; tm < TILE_M; tm++) {
-                      acc[tm][tn] += src0_tile[tm] * src1_val;
+                      acc[tm][tn] += f32(src0_tile[tm]) * f32(src1_val);
                 }
             }
         }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
index 9f9ef279f..d86a72ce6 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_subgroup_matrix.wgsl
@@ -3,9 +3,14 @@ enable f16;
 enable subgroups;
 enable chromium_experimental_subgroup_matrix;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
+
 #include "mul_mat_decls.tmpl"
 
+// TODO: this shader path does not work with some models like qwen2.5 on Metal devices, f16 accumulation causes NaNs.
+// See https://github.com/ggml-org/llama.cpp/issues/21602
+
 #ifdef VEC
 fn store_dst(shmem_idx: u32, dst_idx: u32) {
     dst[dst_idx] = vec4<f32>(
@@ -193,4 +198,3 @@ fn main(@builtin(workgroup_id) wg_id: vec3<u32>,
         }
     }
 }
-
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
index 6525f23bd..a194cf404 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl
@@ -1,358 +1,12 @@
+#ifdef USE_SUBGROUP_REDUCTION
+enable subgroups;
+#endif
 enable f16;
 
+#define DECLARE_BYTE_LOADERS_SRC0
 #include "common_decls.tmpl"
 
-#ifdef VEC
-
-#define VEC_SIZE 4
-#define DST_TYPE vec4<f32>
-#define SRC0_TYPE vec4<SRC0_INNER_TYPE>
-#define SRC1_TYPE vec4<SRC1_INNER_TYPE>
-
-fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
-    return f32(dot(SRC1_TYPE(src0_val), src1_val));
-}
-
-fn store_val(group_base: u32) -> vec4<f32> {
-    return vec4<f32>(partial_sums[group_base],
-                     partial_sums[group_base + THREADS_PER_OUTPUT],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 2],
-                     partial_sums[group_base + THREADS_PER_OUTPUT * 3]);
-}
-#endif
-
-#ifdef SCALAR
-
-#define VEC_SIZE 1
-#define DST_TYPE f32
-#define SRC0_TYPE SRC0_INNER_TYPE
-#define SRC1_TYPE SRC1_INNER_TYPE
-
-fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
-    return f32(src0_val) * f32(src1_val);
-}
-
-fn store_val(group_base: u32) -> f32 {
-    return partial_sums[group_base];
-}
-#endif
-
-#ifdef MUL_ACC_FLOAT
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * VEC_SIZE; i < tile_size; i += THREADS_PER_OUTPUT * VEC_SIZE) {
-        let a = src0[(idx_base + k_outer + i) / VEC_SIZE];
-        let b = shared_vector[i / VEC_SIZE];
-        local_sum += inner_dot(a, b);
-    }
-    return local_sum;
-}
-#endif
-
-#ifdef MUL_ACC_Q4_0
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 18u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-                let q_hi = (f32((q_byte >> 4) & 0xF) - 8.0) * d;
-                let q_lo = (f32(q_byte & 0xF) - 8.0) * d;
-                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
-            }
-        }
-    }
-    return local_sum;
-}
-#endif
-
-#ifdef MUL_ACC_Q4_1
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 20u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-        let m = f32(load_src0_f16_at(block_byte_base + 2u));
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-                let q_hi = f32((q_byte >> 4) & 0xF) * d + m;
-                let q_lo = f32(q_byte & 0xF) * d + m;
-                local_sum += q_lo * shared_vector[shmem_idx + j * 2 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 2 + k + 16];
-            }
-        }
-    }
-    return local_sum;
-}
-#endif
-
-#ifdef MUL_ACC_Q5_0
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 22u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-        let qh_packed = load_src0_u32_at(block_byte_base + 2u);
-
-        for (var j = 0u; j < 2; j++) {
-            let q_byte_offset = block_byte_base + 6u + 2u * (block_offset + j * 2u);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-
-            let j_adjusted = j + (block_offset / 2u);
-
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-
-                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
-                let q_hi = (f32(((q_byte >> 4) & 0xF) | qh_hi) - 16.0) * d;
-                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
-                let q_lo = (f32((q_byte & 0xF) | qh_lo) - 16.0) * d;
-
-                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
-            }
-
-        }
-    }
-    return local_sum;
-}
-#endif
-
-
-#ifdef MUL_ACC_Q5_1
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 24u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 4u; // 4 weights per f16
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-        let m = load_src0_f16_at(block_byte_base + 2u);
-        let qh_packed = load_src0_u32_at(block_byte_base + 4u);
-
-        for (var j = 0u; j < 2; j++) {
-            let q_byte_offset = block_byte_base + 8u + 2u * (block_offset + j * 2u);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-
-            let j_adjusted = j + (block_offset / 2u);
-
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte(q_packed, k);
-
-                let qh_hi = (qh_packed >> (j_adjusted * 4 + k + 12)) & 0x10;
-                let q_hi = f32(((q_byte >> 4) & 0xF) | qh_hi) * d + f32(m);
-                let qh_lo = ((qh_packed >> (j_adjusted * 4 + k)) << 4) & 0x10;
-                let q_lo = f32((q_byte & 0xF) | qh_lo) * d + f32(m);
-
-                local_sum += q_lo * shared_vector[shmem_idx + j * 4 + k];
-                local_sum += q_hi * shared_vector[shmem_idx + j * 4 + k + 16];
-            }
-
-        }
-    }
-    return local_sum;
-}
-#endif
-
-
-#ifdef MUL_ACC_Q8_0
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 34u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 2u;
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_byte_offset = block_byte_base + 2u + 2u * (block_offset + j);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte_i32(q_packed, k);
-                let q_val = f32(q_byte) * d;
-                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
-            }
-        }
-    }
-    return local_sum;
-}
-#endif
-
-
-#ifdef MUL_ACC_Q8_1
-
-const BLOCK_SIZE = 32;
-const BLOCK_SIZE_BYTES = 36u;
-const NQ = 16u; // number of weights per thread
-const WEIGHTS_PER_F16 = 2u;
-const F16_PER_THREAD = NQ / WEIGHTS_PER_F16;
-
-fn mul_acc(tig:u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    var local_sum = 0.0;
-    for (var i = tig * NQ; i < tile_size; i += THREADS_PER_OUTPUT * NQ) {
-        let blck_idx = i / BLOCK_SIZE;
-        let block_offset = (i % BLOCK_SIZE) / WEIGHTS_PER_F16;
-        let block_byte_base = (idx_base + k_outer / BLOCK_SIZE + blck_idx) * BLOCK_SIZE_BYTES;
-        // each f16 contains offsets [block_offset, block_offset + 1] and [block_offset + 16, block_offset + 17]
-        let shmem_idx = blck_idx * BLOCK_SIZE + block_offset * 2u;
-        let d = f32(load_src0_f16_at(block_byte_base));
-        let m = load_src0_f16_at(block_byte_base + 2u);
-
-        for (var j = 0u; j < F16_PER_THREAD; j += 2) {
-            let q_byte_offset = block_byte_base + 4u + 2u * (block_offset + j);
-            let q_packed = load_src0_u32_at(q_byte_offset);
-            for (var k: u32 = 0; k < 4; k++) {
-                let q_byte = get_byte_i32(q_packed, k);
-                let q_val = f32(q_byte) * d + f32(m);
-                local_sum += q_val * shared_vector[shmem_idx + j * 2 + k];
-            }
-        }
-    }
-    return local_sum;
-}
-#endif
-
-#ifdef MUL_ACC_Q6_K
-
-const BLOCK_SIZE = 256u;
-const BLOCK_SIZE_BYTES = 210u;
-
-fn byte_of(v: u32, b: u32) -> u32 {
-    return (v >> (b * 8u)) & 0xFFu;
-}
-
-fn sbyte_of(v: u32, b: u32) -> i32 {
-    let raw = i32((v >> (b * 8u)) & 0xFFu);
-    return select(raw, raw - 256, raw >= 128);
-}
-
-fn mul_acc(tig: u32, tile_size: u32, idx_base: u32, k_outer: u32) -> f32 {
-    let tid = tig / 2u;
-    let ix  = tig % 2u;
-    let ip  = tid / 8u;
-    let il  = tid % 8u;
-    let l0  = 4u * il;
-    let is  = 8u * ip + l0 / 16u;
-
-    let y_offset   = 128u * ip + l0;
-    let q_offset_l =  64u * ip + l0;
-    let q_offset_h =  32u * ip + l0;
-
-    let nb = tile_size / BLOCK_SIZE;
-    let k_block_start = k_outer / BLOCK_SIZE;
-
-    // Aligned scale byte position (is can be odd)
-    let sc_base_byte = 192u + (is & ~3u);
-    let sc_byte_pos  = is & 3u;
-
-    var local_sum = 0.0;
-
-    for (var i = ix; i < nb; i += 2u) {
-        let bbase = (idx_base + k_block_start + i) * BLOCK_SIZE_BYTES;
-
-        let d = f32(load_src0_f16_at(bbase + 208u));
-
-        let ql1_u32  = load_src0_u32_at(bbase + q_offset_l);
-        let ql2_u32  = load_src0_u32_at(bbase + q_offset_l + 32u);
-        let qh_u32   = load_src0_u32_at(bbase + 128u + q_offset_h);
-        let sc_u32_0 = load_src0_u32_at(bbase + sc_base_byte);
-        let sc_u32_1 = load_src0_u32_at(bbase + sc_base_byte + 4u);
-
-        let sc0 = sbyte_of(sc_u32_0, sc_byte_pos);
-        let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u);
-        let sc4 = sbyte_of(sc_u32_1, sc_byte_pos);
-        let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u);
-
-        var sums = vec4<f32>(0.0, 0.0, 0.0, 0.0);
-
-        for (var l = 0u; l < 4u; l++) {
-            let y_base = i * BLOCK_SIZE + y_offset + l;
-            let yl0 = f32(shared_vector[y_base]);
-            let yl1 = f32(shared_vector[y_base + 32u]);
-            let yl2 = f32(shared_vector[y_base + 64u]);
-            let yl3 = f32(shared_vector[y_base + 96u]);
-
-            let q1b = byte_of(ql1_u32, l);
-            let q2b = byte_of(ql2_u32, l);
-            let qhb = byte_of(qh_u32,  l);
-
-            let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32);
-            let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32);
-            let dq2 = f32(i32((q1b >>   4u) | ((qhb & 0x30u)       )) - 32);
-            let dq3 = f32(i32((q2b >>   4u) | ((qhb & 0xC0u) >> 2u)) - 32);
-
-            sums[0] += yl0 * dq0;
-            sums[1] += yl1 * dq1;
-            sums[2] += yl2 * dq2;
-            sums[3] += yl3 * dq3;
-        }
-
-        local_sum += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) +
-                          sums[2] * f32(sc4) + sums[3] * f32(sc6));
-    }
-
-    return local_sum;
-}
-#endif
+#include "mul_mat_vec_acc.tmpl"
 
 struct MulMatParams {
     offset_src0: u32,
@@ -373,27 +27,34 @@ struct MulMatParams {
     broadcast3: u32
 };
 
-// SRC0_TYPE and SRC1_TYPE are defined in mul_mat_decls, which is included
-@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>; // M rows, K columns
-@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>; // K rows, N columns (transposed)
-@group(0) @binding(2) var<storage, read_write> dst: array<DST_TYPE>; // M rows, N columns (transposed)
+@group(0) @binding(0) var<storage, read_write> src0: array<SRC0_TYPE>;
+@group(0) @binding(1) var<storage, read_write> src1: array<SRC1_TYPE>;
+@group(0) @binding(2) var<storage, read_write> dst: array<f32>;
 
+// "mul_mat_vec_acc.tmpl" requires params.k, params.m, params.stride_01
 @group(0) @binding(3) var<uniform> params: MulMatParams;
 
-const THREADS_PER_OUTPUT = WG_SIZE / OUTPUTS_PER_WG;
+// Flattened as [row][thread] to keep each row's reduction contiguous in memory.
+var<workgroup> partial_sums: array<f32, OUTPUTS_PER_WG * WG_SIZE>;
 
-// Shared memory for collaborative loading and reduction
-var<workgroup> shared_vector: array<SRC1_TYPE, TILE_K/VEC_SIZE>;  // Cache vector tile
-var<workgroup> partial_sums: array<f32, WG_SIZE>;   // For reduction
+fn partial_index(row: u32, thread: u32) -> u32 {
+    return row * WG_SIZE + thread;
+}
 
 @compute @workgroup_size(WG_SIZE)
 fn main(
     @builtin(local_invocation_id) local_id: vec3<u32>,
     @builtin(workgroup_id) wg_id: vec3<u32>,
-    @builtin(num_workgroups) num_wg: vec3<u32>) {
+    @builtin(num_workgroups) num_wg: vec3<u32>
+#ifdef USE_SUBGROUP_REDUCTION
+  , @builtin(subgroup_id) subgroup_id: u32,
+    @builtin(subgroup_invocation_id) subgroup_invocation_id: u32,
+    @builtin(num_subgroups) num_subgroups: u32,
+    @builtin(subgroup_size) subgroup_size: u32
+#endif
+) {
     let thread_id = local_id.x;
 
-    // Handle batch dimensions
     let total_batches = params.bs02 * params.broadcast2 * params.bs03 * params.broadcast3;
     let wg_linear = wg_id.y * num_wg.x + wg_id.x;
     let output_groups = (params.m + OUTPUTS_PER_WG - 1u) / OUTPUTS_PER_WG;
@@ -402,12 +63,7 @@ fn main(
         return;
     }
 
-    // Which of the outputs does this thread belong to?
-    let thread_group = thread_id / THREADS_PER_OUTPUT;
-    let thread_in_group = thread_id % THREADS_PER_OUTPUT;
-
-    // Each workgroup computes OUTPUTS_PER_WG consecutive outputs
-    let output_row = (wg_linear % output_groups) * OUTPUTS_PER_WG + thread_group;
+    let row_base = (wg_linear % output_groups) * OUTPUTS_PER_WG;
 
     let dst2_stride = params.m * params.n;
     let dst2_idx = batch_idx % (params.bs02 * params.broadcast2);
@@ -418,46 +74,60 @@ fn main(
     let src02_idx = dst2_idx / params.broadcast2;
     let src12_idx = dst2_idx;
 
-    let src0_idx_base = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02 + output_row * params.stride_01;
+    let src0_batch_offset = params.offset_src0 + src03_idx * params.stride_03 + src02_idx * params.stride_02;
     let src1_idx_base = params.offset_src1 + src13_idx * params.stride_13 + src12_idx * params.stride_12;
-    let dst_idx = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + output_row;
+    let dst_idx_base = params.offset_dst + dst3_idx * dst3_stride + dst2_idx * dst2_stride + row_base;
 
-    var local_sum = 0.0;
+    let acc = accumulate_vec_dot(thread_id, row_base, src0_batch_offset, src1_idx_base);
 
-    // Each thread processes multiple K elements and accumulates
-    for (var k_tile = 0u; k_tile < params.k; k_tile += TILE_K) {
-        let tile_size = min(TILE_K, params.k - k_tile);
-
-        // Cooperatively load vector tile into shared memory (all threads)
-        for (var i = thread_id * VEC_SIZE; i < tile_size; i += WG_SIZE * VEC_SIZE) {
-            shared_vector[i / VEC_SIZE] = src1[(src1_idx_base + k_tile + i) / VEC_SIZE];
+#ifdef USE_SUBGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        let subgroup_total = subgroupAdd(acc[row]);
+        if (subgroup_invocation_id == 0u) {
+            partial_sums[partial_index(row, subgroup_id)] = subgroup_total;
         }
+    }
 
-        workgroupBarrier();
+    workgroupBarrier();
 
-        if (output_row < params.m) {
-            local_sum += mul_acc(thread_in_group, tile_size, src0_idx_base, k_tile);
+    for (var row = subgroup_id; (row < OUTPUTS_PER_WG) && (row_base + row < params.m); row += num_subgroups) {
+        let output_row = row_base + row;
+        var row_acc = 0.0f;
+        for (var k = subgroup_invocation_id; k < num_subgroups; k += subgroup_size) {
+            row_acc += partial_sums[partial_index(row, k)];
+        }
+        let row_total = subgroupAdd(row_acc);
+        if (subgroup_invocation_id == 0) {
+            dst[dst_idx_base + row] = row_total;
         }
+    }
+#endif
 
-        workgroupBarrier();
+#ifdef USE_WORKGROUP_REDUCTION
+    for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+        partial_sums[partial_index(row, thread_id)] = acc[row];
     }
 
-    // Store partial sums and reduce within each partition
-    partial_sums[thread_id] = local_sum;
     workgroupBarrier();
-    let group_base = thread_group * THREADS_PER_OUTPUT;
-    let thread_base = group_base + thread_in_group;
-    var offset: u32 = THREADS_PER_OUTPUT / 2;
-    while (offset > 0) {
-        if (thread_in_group < offset) {
-            partial_sums[thread_base] += partial_sums[thread_base + offset];
+
+    var stride = WG_SIZE / 2u;
+
+    while (stride > 0) {
+        if (thread_id < stride) {
+            for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+                partial_sums[partial_index(row, thread_id)] += partial_sums[partial_index(row, thread_id + stride)];
+            }
         }
-        offset = offset / 2;
+
         workgroupBarrier();
+        stride = stride / 2;
     }
 
-    // Store back to global memory
-    if (output_row < params.m && thread_group % VEC_SIZE == 0 && thread_in_group == 0) {
-        dst[dst_idx / VEC_SIZE] = store_val(group_base);
+    if (thread_id < OUTPUTS_PER_WG) {
+        let output_row = row_base + thread_id;
+        if (output_row < params.m) {
+            dst[dst_idx_base + thread_id] = partial_sums[partial_index(thread_id, 0)];
+        }
     }
+#endif
 }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl
new file mode 100644
index 000000000..1f59bd148
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec_acc.tmpl
@@ -0,0 +1,1391 @@
+#ifdef U32_DEQUANT_HELPERS
+#define SRC0_TYPE u32
+
+fn byte_of(v: u32, b: u32) -> u32 {
+    return (v >> (b * 8u)) & 0xFFu;
+}
+
+fn sbyte_of(v: u32, b: u32) -> i32 {
+    let raw = i32((v >> (b * 8u)) & 0xFFu);
+    return select(raw, raw - 256, raw >= 128);
+}
+#endif
+
+#ifdef VEC
+#define VEC_SIZE 4u
+#define SRC0_TYPE vec4<SRC0_INNER_TYPE>
+#define SRC1_TYPE vec4<SRC1_INNER_TYPE>
+
+fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
+    return f32(dot(SRC1_TYPE(src0_val), src1_val));
+}
+#endif
+
+#ifdef SCALAR
+#define VEC_SIZE 1u
+#define SRC0_TYPE SRC0_INNER_TYPE
+#define SRC1_TYPE SRC1_INNER_TYPE
+
+fn inner_dot(src0_val: SRC0_TYPE, src1_val: SRC1_TYPE) -> f32 {
+    return f32(src0_val) * f32(src1_val);
+}
+#endif
+
+#ifdef MUL_ACC_FLOAT
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let k_vec = params.k / VEC_SIZE;
+    let src1_idx_base_vec = src1_idx_base / VEC_SIZE;
+
+    // Each thread walks K, loads from the vector, and updates
+    // a small block of output rows held in registers.
+    for (var k = thread_id; k < k_vec; k += WG_SIZE) {
+        let x = src1[src1_idx_base_vec + k];
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let src0_idx = (src0_batch_offset + output_row * params.stride_01) / VEC_SIZE + k;
+                acc[row] += inner_dot(src0[src0_idx], x);
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q1_0
+#define BLOCK_SIZE 128
+#define BLOCK_SIZE_BYTES 18
+#define THREADS_PER_BLOCK 16
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let q_byte = load_u32_at_src0(block_byte_base + 2u + thread_within_block) & 0xFFu;
+                var row_sum = 0.0;
+                for (var bit = 0u; bit < 8u; bit++) {
+                    let w = select(-d, d, ((q_byte >> bit) & 1u) != 0u);
+                    row_sum += w * x_block[bit];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q4_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 18
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % 4;
+    for (var block = thread_id/THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE/THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                var row_sum = 0.0;
+
+                let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block);
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let q_lo = (f32(q_byte & 0xFu) - 8.0) * d;
+                    let q_hi = (f32((q_byte >> 4u) & 0xFu) - 8.0) * d;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q4_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 20
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                var row_sum = 0.0;
+
+                let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * thread_within_block);
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let q_lo = f32(q_byte & 0xFu) * d + m;
+                    let q_hi = f32((q_byte >> 4u) & 0xFu) * d + m;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q5_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 22
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qh_packed = load_u32_at_src0(block_byte_base + 2u);
+                let q_packed = load_u32_at_src0(block_byte_base + 6u + 4u * thread_within_block);
+                let qh_shift = thread_within_block * 4u;
+                var row_sum = 0.0;
+
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u;
+                    let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u;
+                    let q_lo = (f32((q_byte & 0xFu) | qh_lo) - 16.0) * d;
+                    let q_hi = (f32(((q_byte >> 4u) & 0xFu) | qh_hi) - 16.0) * d;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q5_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 24
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4] = f32(src1[x_base + i + 16]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                let qh_packed = load_u32_at_src0(block_byte_base + 4u);
+                let q_packed = load_u32_at_src0(block_byte_base + 8u + 4u * thread_within_block);
+                let qh_shift = thread_within_block * 4u;
+                var row_sum = 0.0;
+
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let qh_lo = ((qh_packed >> (qh_shift + byte_idx)) << 4u) & 0x10u;
+                    let qh_hi = (qh_packed >> (qh_shift + byte_idx + 12u)) & 0x10u;
+                    let q_lo = f32((q_byte & 0xFu) | qh_lo) * d + m;
+                    let q_hi = f32(((q_byte >> 4u) & 0xFu) | qh_hi) * d + m;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q8_0
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 34
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                var row_sum = 0.0;
+
+                for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) {
+                    let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * (thread_within_block * 2u + packed_idx));
+                    for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                        let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d;
+                        row_sum += q_val * x_block[packed_idx * 4u + byte_idx];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q8_1
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 36
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * ELEMS_PER_THREAD;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let m = f32(load_f16_at_src0(block_byte_base + 2u));
+                var row_sum = 0.0;
+
+                for (var packed_idx = 0u; packed_idx < ELEMS_PER_THREAD / 4u; packed_idx++) {
+                    let q_packed = load_u32_at_src0(block_byte_base + 4u + 4u * (thread_within_block * 2u + packed_idx));
+                    for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                        let q_val = f32(get_byte_i32(q_packed, byte_idx)) * d + m;
+                        row_sum += q_val * x_block[packed_idx * 4u + byte_idx];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q2_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 84
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let lane = tid / 2u;
+    let phase = tid % 2u;
+    let iq = lane / 4u;
+    let ir = lane % 4u;
+    let is = ir / 2u;
+
+    let y_offset = 128u * iq + 8u * ir + 4u * phase;
+    let sc0_byte = 8u * iq + is;
+    let sc2_byte = 8u * iq + is + 2u;
+    let sc4_byte = 8u * iq + is + 4u;
+    let sc6_byte = 8u * iq + is + 6u;
+    let qs_byte = 16u + (16u * iq + 4u * ir) * 2u + 4u * phase;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 64u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 96u + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let dall = f32(load_f16_at_src0(block_byte_base + 80u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 82u)) * (1.0 / 16.0);
+
+                let sc0 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc0_byte), sc0_byte & 3u);
+                let sc2 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc2_byte), sc2_byte & 3u);
+                let sc4 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc4_byte), sc4_byte & 3u);
+                let sc6 = byte_of(load_u32_at_src0_aligned(block_byte_base + sc6_byte), sc6_byte & 3u);
+
+                let q_u32 = load_u32_at_src0_aligned(block_byte_base + qs_byte);
+                let qs0 = q_u32 & 0xFFFFu;
+                let qs1 = q_u32 >> 16u;
+
+                var sumy = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var acc1 = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var acc2 = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+
+                sumy[0] = x_block[0] + x_block[1] + x_block[2] + x_block[3];
+                sumy[1] = x_block[4] + x_block[5] + x_block[6] + x_block[7];
+                sumy[2] = x_block[8] + x_block[9] + x_block[10] + x_block[11];
+                sumy[3] = x_block[12] + x_block[13] + x_block[14] + x_block[15];
+
+                acc1[0] = x_block[0] * f32(qs0 & 0x0003u) + x_block[2] * f32(qs1 & 0x0003u);
+                acc2[0] = x_block[1] * f32(qs0 & 0x0300u) + x_block[3] * f32(qs1 & 0x0300u);
+                acc1[1] = x_block[4] * f32(qs0 & 0x000Cu) + x_block[6] * f32(qs1 & 0x000Cu);
+                acc2[1] = x_block[5] * f32(qs0 & 0x0C00u) + x_block[7] * f32(qs1 & 0x0C00u);
+                acc1[2] = x_block[8] * f32(qs0 & 0x0030u) + x_block[10] * f32(qs1 & 0x0030u);
+                acc2[2] = x_block[9] * f32(qs0 & 0x3000u) + x_block[11] * f32(qs1 & 0x3000u);
+                acc1[3] = x_block[12] * f32(qs0 & 0x00C0u) + x_block[14] * f32(qs1 & 0x00C0u);
+                acc2[3] = x_block[13] * f32(qs0 & 0xC000u) + x_block[15] * f32(qs1 & 0xC000u);
+
+                acc[row] += dall * ((acc1[0] + (1.0/256.0) * acc2[0]) * f32(sc0 & 0xFu) +
+                                    (acc1[1] + (1.0/256.0) * acc2[1]) * f32(sc2 & 0xFu) / 4.0 +
+                                    (acc1[2] + (1.0/256.0) * acc2[2]) * f32(sc4 & 0xFu) / 16.0 +
+                                    (acc1[3] + (1.0/256.0) * acc2[3]) * f32(sc6 & 0xFu) / 64.0)
+                          - dmin * (sumy[0] * f32(sc0 & 0xF0u) + sumy[1] * f32(sc2 & 0xF0u) +
+                                    sumy[2] * f32(sc4 & 0xF0u) + sumy[3] * f32(sc6 & 0xF0u));
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+
+#ifdef MUL_ACC_Q3_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 110
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let lane = tid / 2u;
+    let phase = tid % 2u;
+    let ip = lane / 4u;
+    let il = 2u * ((lane % 4u) / 2u);
+    let ir = lane % 2u;
+    let l0 = 8u * ir;
+
+    let q_byte = 32u + 32u * ip + l0 + 16u * phase;
+    let h_byte = l0 + 16u * phase;
+    let y_offset = 128u * ip + 32u * il + l0 + 16u * phase;
+
+    let s_shift1 = 4u * ip;
+    let s_shift2 = s_shift1 + il;
+
+    let v1 = select(64.0, 4.0, il == 0u);
+    let v2 = 4.0 * v1;
+    let shift = 2u * il;
+
+    var qm0: u32; var qm1: u32; var qm2: u32; var qm3: u32;
+    if (il == 0u) {
+        qm0 = 0x0003u; qm1 = 0x0300u; qm2 = 0x000Cu; qm3 = 0x0C00u;
+    } else {
+        qm0 = 0x0030u; qm1 = 0x3000u; qm2 = 0x00C0u; qm3 = 0xC000u;
+    }
+
+    let mm_idx = 2u * ip + il / 2u;
+    var hm0: u32; var hm1: u32; var hm2: u32; var hm3: u32;
+    switch (mm_idx) {
+        case 0u: { hm0=0x0001u; hm1=0x0100u; hm2=0x0002u; hm3=0x0200u; }
+        case 1u: { hm0=0x0004u; hm1=0x0400u; hm2=0x0008u; hm3=0x0800u; }
+        case 2u: { hm0=0x0010u; hm1=0x1000u; hm2=0x0020u; hm3=0x2000u; }
+        default: { hm0=0x0040u; hm1=0x4000u; hm2=0x0080u; hm3=0x8000u; }
+    }
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 8u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 8u] = f32(src1[x_base + 32u + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 108u));
+                let a_base = 96u;
+                let a_il0 = load_u16_at_src0(block_byte_base + a_base + il * 2u);
+                let a_il1 = load_u16_at_src0(block_byte_base + a_base + (il + 1u) * 2u);
+                let a_4 = load_u16_at_src0(block_byte_base + a_base + 8u);
+                let a_5 = load_u16_at_src0(block_byte_base + a_base + 10u);
+
+                var scales32 = a_4 | (a_5 << 16u);
+                let aux32 = ((scales32 >> s_shift2) << 4u) & 0x30303030u;
+                scales32 = a_il0 | (a_il1 << 16u);
+                scales32 = ((scales32 >> s_shift1) & 0x0F0F0F0Fu) | aux32;
+
+                let scale0 = f32(i32(byte_of(scales32, phase + 0u)) - 32);
+                let scale1 = f32(i32(byte_of(scales32, phase + 2u)) - 32);
+
+                let q_u32_0 = load_u32_at_src0(block_byte_base + q_byte + 0u);
+                let q_u32_1 = load_u32_at_src0(block_byte_base + q_byte + 4u);
+                let h_u32_0 = load_u32_at_src0(block_byte_base + h_byte + 0u);
+                let h_u32_1 = load_u32_at_src0(block_byte_base + h_byte + 4u);
+
+                var s1 = 0.0; var s2 = 0.0; var s3 = 0.0;
+                var s4 = 0.0; var s5 = 0.0; var s6 = 0.0;
+
+                for (var l = 0u; l < 8u; l += 2u) {
+                    let q_u32 = select(q_u32_0, q_u32_1, l >= 4u);
+                    let qs = select(q_u32 & 0xFFFFu, q_u32 >> 16u, (l & 2u) != 0u);
+                    let h_u32 = select(h_u32_0, h_u32_1, l >= 4u);
+                    let hv = select(h_u32 & 0xFFFFu, h_u32 >> 16u, (l & 2u) != 0u);
+
+                    s1 += x_block[l + 0u] * f32(qs & qm0);
+                    s2 += x_block[l + 1u] * f32(qs & qm1);
+                    s3 += select(0.0, x_block[l + 0u], (hv & hm0) == 0u) +
+                          select(0.0, x_block[l + 1u], (hv & hm1) == 0u);
+                    s4 += x_block[l + 8u] * f32(qs & qm2);
+                    s5 += x_block[l + 9u] * f32(qs & qm3);
+                    s6 += select(0.0, x_block[l + 8u], (hv & hm2) == 0u) +
+                          select(0.0, x_block[l + 9u], (hv & hm3) == 0u);
+                }
+
+                let d1 = d * (s1 + (1.0/256.0) * s2 - s3 * v1);
+                let d2 = d * (s4 + (1.0/256.0) * s5 - s6 * v2);
+                acc[row] += (d1 * scale0 + 0.25 * d2 * scale1) / f32(1u << shift);
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q4_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 144
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let il = tid / 4u;
+    let ir = tid % 4u;
+    let im = il / 2u;
+    let in = il % 2u;
+    let l0 = 4u * (2u * ir + in);
+
+    let y_offset = 64u * im + l0;
+    let q_offset = 32u * im + l0;
+    let sc0_byte = 4u + im * 2u;
+    let sc2_byte = 4u + (im + 2u) * 2u;
+    let sc4_byte = 4u + (im + 4u) * 2u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 128u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 160u + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 0u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 2u));
+
+                let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte);
+                let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u);
+                let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte);
+                let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u);
+                let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte);
+                let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u);
+
+                let sc16_0 = sc0 & 0x3F3Fu;
+                let sc16_1 = sc2 & 0x3F3Fu;
+                let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u);
+                let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u);
+
+                let scale0 = f32(sc16_0 & 0xFFu);
+                let scale1 = f32((sc16_0 >> 8u) & 0xFFu);
+                let min0 = f32(sc16_1 & 0xFFu);
+                let min1 = f32((sc16_1 >> 8u) & 0xFFu);
+                let scale2 = f32(sc16_2 & 0xFFu);
+                let scale3 = f32((sc16_2 >> 8u) & 0xFFu);
+                let min2 = f32(sc16_3 & 0xFFu);
+                let min3 = f32((sc16_3 >> 8u) & 0xFFu);
+
+                let q1_u32 = load_u32_at_src0_aligned(block_byte_base + 16u + q_offset);
+                let q2_u32 = load_u32_at_src0_aligned(block_byte_base + 80u + q_offset);
+
+                var dot = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var sumx = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                for (var i = 0u; i < 4u; i++) {
+                    let q1b = byte_of(q1_u32, i);
+                    let q2b = byte_of(q2_u32, i);
+                    dot[0] += x_block[i] * f32(q1b & 0x0Fu);
+                    dot[1] += x_block[i + 4u] * f32(q1b >> 4u);
+                    dot[2] += x_block[i + 8u] * f32(q2b & 0x0Fu);
+                    dot[3] += x_block[i + 12u] * f32(q2b >> 4u);
+                    sumx[0] += x_block[i];
+                    sumx[1] += x_block[i + 4u];
+                    sumx[2] += x_block[i + 8u];
+                    sumx[3] += x_block[i + 12u];
+                }
+
+                acc[row] += d * (dot[0] * scale0 + dot[1] * scale1 + dot[2] * scale2 + dot[3] * scale3)
+                          - dmin * (sumx[0] * min0 + sumx[1] * min1 + sumx[2] * min2 + sumx[3] * min3);
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q5_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 176
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let il = tid / 4u;
+    let ir = tid % 4u;
+    let im = il / 2u;
+    let in = il % 2u;
+    let l0 = 4u * (2u * ir + in);
+
+    let y_offset = 64u * im + l0;
+    let q_offset = 48u + 32u * im + l0;
+    let qh_offset = 16u + 8u * ir + 4u * in;
+    let sc0_byte = 4u + im * 2u;
+    let sc2_byte = 4u + (im + 2u) * 2u;
+    let sc4_byte = 4u + (im + 4u) * 2u;
+
+    let hm1 = 1u << (2u * im);
+    let hm2 = hm1 << 1u;
+    let hm3 = hm1 << 4u;
+    let hm4 = hm2 << 4u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 4u; i++) {
+            x_block[i]       = f32(src1[x_base + i]);
+            x_block[i + 4u]  = f32(src1[x_base + 32u + i]);
+            x_block[i + 8u]  = f32(src1[x_base + 128u + i]);
+            x_block[i + 12u] = f32(src1[x_base + 160u + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 0u));
+                let dmin = f32(load_f16_at_src0(block_byte_base + 2u));
+
+                let sc0_u32 = load_u32_at_src0_aligned(block_byte_base + sc0_byte);
+                let sc0 = select(sc0_u32 & 0xFFFFu, sc0_u32 >> 16u, (sc0_byte & 2u) != 0u);
+                let sc2_u32 = load_u32_at_src0_aligned(block_byte_base + sc2_byte);
+                let sc2 = select(sc2_u32 & 0xFFFFu, sc2_u32 >> 16u, (sc2_byte & 2u) != 0u);
+                let sc4_u32 = load_u32_at_src0_aligned(block_byte_base + sc4_byte);
+                let sc4 = select(sc4_u32 & 0xFFFFu, sc4_u32 >> 16u, (sc4_byte & 2u) != 0u);
+
+                let sc16_0 = sc0 & 0x3F3Fu;
+                let sc16_1 = sc2 & 0x3F3Fu;
+                let sc16_2 = (sc4 & 0x0F0Fu) | ((sc0 & 0xC0C0u) >> 2u);
+                let sc16_3 = ((sc4 >> 4u) & 0x0F0Fu) | ((sc2 & 0xC0C0u) >> 2u);
+
+                let f0 = f32(sc16_0 & 0xFFu);
+                let f1 = f32((sc16_0 >> 8u) & 0xFFu);
+                let m0 = f32(sc16_1 & 0xFFu);
+                let m1 = f32((sc16_1 >> 8u) & 0xFFu);
+                let f4 = f32(sc16_2 & 0xFFu);
+                let f5 = f32((sc16_2 >> 8u) & 0xFFu);
+                let m4 = f32(sc16_3 & 0xFFu);
+                let m5 = f32((sc16_3 >> 8u) & 0xFFu);
+
+                let q1_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset);
+                let q2_u32 = load_u32_at_src0_aligned(block_byte_base + q_offset + 64u);
+                let qh_u32 = load_u32_at_src0_aligned(block_byte_base + qh_offset);
+
+                var vals = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                var sumy = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+                for (var i = 0u; i < 4u; i++) {
+                    let q1b = byte_of(q1_u32, i);
+                    let q2b = byte_of(q2_u32, i);
+                    let qhb = byte_of(qh_u32, i);
+
+                    let yl0 = x_block[i];
+                    let yl8 = x_block[i + 4u];
+                    let yh0 = x_block[i + 8u];
+                    let yh8 = x_block[i + 12u];
+
+                    sumy[0] += yl0;
+                    sumy[1] += yl8;
+                    sumy[2] += yh0;
+                    sumy[3] += yh8;
+
+                    let q0 = f32((q1b & 0x0Fu) | select(0u, 0x10u, (qhb & hm1) != 0u));
+                    let q1 = f32((q1b >> 4u) | select(0u, 0x10u, (qhb & hm2) != 0u));
+                    let q2 = f32((q2b & 0x0Fu) | select(0u, 0x10u, (qhb & hm3) != 0u));
+                    let q3 = f32((q2b >> 4u) | select(0u, 0x10u, (qhb & hm4) != 0u));
+
+                    vals[0] += yl0 * q0;
+                    vals[1] += yl8 * q1;
+                    vals[2] += yh0 * q2;
+                    vals[3] += yh8 * q3;
+                }
+
+                acc[row] += d * (f0 * vals[0] + f1 * vals[1] + f4 * vals[2] + f5 * vals[3])
+                          - dmin * (sumy[0] * m0 + sumy[1] * m1 +
+                                    sumy[2] * m4 + sumy[3] * m5);
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_Q6_K
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 210
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let ip = tid / 8u;
+    let il = tid % 8u;
+    let l0 = 4u * il;
+    let is = 8u * ip + l0 / 16u;
+
+    let y_offset = 128u * ip + l0;
+    let q_offset_l = 64u * ip + l0;
+    let q_offset_h = 32u * ip + l0;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let sc_base_byte = 192u + (is & ~3u);
+    let sc_byte_pos = is & 3u;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var l = 0u; l < 4u; l++) {
+            x_block[l]       = f32(src1[x_base + l]);
+            x_block[l + 4u]  = f32(src1[x_base + 32u + l]);
+            x_block[l + 8u]  = f32(src1[x_base + 64u + l]);
+            x_block[l + 12u] = f32(src1[x_base + 96u + l]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d = f32(load_f16_at_src0(block_byte_base + 208u));
+                let ql1_u32 = load_u32_at_src0(block_byte_base + q_offset_l);
+                let ql2_u32 = load_u32_at_src0(block_byte_base + q_offset_l + 32u);
+                let qh_u32 = load_u32_at_src0(block_byte_base + 128u + q_offset_h);
+                let sc_u32_0 = load_u32_at_src0(block_byte_base + sc_base_byte);
+                let sc_u32_1 = load_u32_at_src0(block_byte_base + sc_base_byte + 4u);
+
+                let sc0 = sbyte_of(sc_u32_0, sc_byte_pos);
+                let sc2 = sbyte_of(sc_u32_0, sc_byte_pos + 2u);
+                let sc4 = sbyte_of(sc_u32_1, sc_byte_pos);
+                let sc6 = sbyte_of(sc_u32_1, sc_byte_pos + 2u);
+
+                var sums = vec4<f32>(0.0, 0.0, 0.0, 0.0);
+
+                for (var l = 0u; l < 4u; l++) {
+                    let q1b = byte_of(ql1_u32, l);
+                    let q2b = byte_of(ql2_u32, l);
+                    let qhb = byte_of(qh_u32, l);
+
+                    let dq0 = f32(i32((q1b & 0x0Fu) | ((qhb & 0x03u) << 4u)) - 32);
+                    let dq1 = f32(i32((q2b & 0x0Fu) | ((qhb & 0x0Cu) << 2u)) - 32);
+                    let dq2 = f32(i32((q1b >> 4u) | (qhb & 0x30u)) - 32);
+                    let dq3 = f32(i32((q2b >> 4u) | ((qhb & 0xC0u) >> 2u)) - 32);
+
+                    sums[0] += x_block[l] * dq0;
+                    sums[1] += x_block[l + 4u] * dq1;
+                    sums[2] += x_block[l + 8u] * dq2;
+                    sums[3] += x_block[l + 12u] * dq3;
+                }
+
+                acc[row] += d * (sums[0] * f32(sc0) + sums[1] * f32(sc2) +
+                                 sums[2] * f32(sc4) + sums[3] * f32(sc6));
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ1_S
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 50
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let d     = f32(load_f16_at_src0(block_byte_base));
+                let qh    = load_u32_at_src0(block_byte_base + 34u + sub_blk * 2u) & 0xFFFFu;
+                let dl    = d * f32(2u * ((qh >> 12u) & 7u) + 1u);
+                let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u);
+                let qs_w  = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u);
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l       = slot0 + ll;
+                    let qs_byte = get_byte(qs_w, l);
+                    let ig      = (qs_byte | (((qh >> (3u * l)) & 7u) << 8u)) * 8u;
+                    let gw      = iq1_grid[ig / 16u];
+                    let bit_base = (ig % 16u) * 2u;
+                    for (var j = 0u; j < 8u; j++) {
+                        let g  = (gw >> (bit_base + j * 2u)) & 3u;
+                        let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u);
+                        row_sum += dl * (gs + delta) * x_block[ll * 8u + j];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ1_M
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 56
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+
+                let sc_lo = load_u32_at_src0(block_byte_base + 48u);
+                let sc_hi = load_u32_at_src0(block_byte_base + 52u);
+                let sc0 = sc_lo & 0xFFFFu;
+                let sc1 = (sc_lo >> 16u) & 0xFFFFu;
+                let sc2 = sc_hi & 0xFFFFu;
+                let sc3 = (sc_hi >> 16u) & 0xFFFFu;
+                let d_bits = (sc0 >> 12u) | ((sc1 >> 8u) & 0xF0u) | ((sc2 >> 4u) & 0xF00u) | (sc3 & 0xF000u);
+                let d = f32(bitcast<vec2<f16>>(d_bits)[0]);
+
+                let sc_u16 = select(select(sc2, sc3, sub_blk >= 6u),
+                                    select(sc0, sc1, sub_blk >= 2u),
+                                    sub_blk < 4u);
+
+                let qs_w = load_u32_at_src0(block_byte_base + sub_blk * 4u);
+                let qh = load_u32_at_src0(block_byte_base + 32u + sub_blk * 2u) & 0xFFFFu;
+                let qh_lo = qh & 0xFFu;
+                let qh_hi = (qh >> 8u) & 0xFFu;
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let bit_off = 6u * (sub_blk % 2u) + 3u * (l / 2u);
+                    let sub_scale = (sc_u16 >> bit_off) & 0x7u;
+                    let dl = d * f32(2u * sub_scale + 1u);
+                    let qh_byte = select(qh_lo, qh_hi, l >= 2u);
+                    let ll2 = l % 2u;
+                    let grid_idx = get_byte(qs_w, l) | (((qh_byte >> (4u * ll2)) & 7u) << 8u);
+                    let delta = select(IQ1_DELTA, -IQ1_DELTA, ((qh_byte >> (3u + 4u * ll2)) & 1u) != 0u);
+                    let ig = grid_idx * 8u;
+                    let gw = iq1_grid[ig / 16u];
+                    let bit_base = (ig % 16u) * 2u;
+                    for (var j = 0u; j < 8u; j++) {
+                        let g  = (gw >> (bit_base + j * 2u)) & 3u;
+                        let gs = select(f32(g), f32(g) - 4.0, (g & 2u) != 0u);
+                        row_sum += dl * (gs + delta) * x_block[ll * 8u + j];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ2_XXS
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 66
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let aux_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u);
+                let aux_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u);
+                let ls = aux_hi >> 28u;
+                let db = d * (0.5 + f32(ls)) * 0.25;
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let grid_idx = (aux_lo >> (8u * l)) & 0xFFu;
+                    let signs_idx = (aux_hi >> (7u * l)) & 0x7Fu;
+                    let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu;
+                    let gw_lo = iq2xxs_grid[grid_idx * 2u];
+                    let gw_hi = iq2xxs_grid[grid_idx * 2u + 1u];
+                    for (var j = 0u; j < 8u; j++) {
+                        let gw = select(gw_hi, gw_lo, j < 4u);
+                        let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu);
+                        let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u);
+                        row_sum += db * b * s * x_block[ll * 8u + j];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ2_XS
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 74
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u);
+                let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u);
+                let scales_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u);
+                let scales_byte = get_byte(scales_word, sub_blk % 4u);
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let qs_word = select(qs_hi, qs_lo, l < 2u);
+                    let half2 = (l % 2u) * 16u;
+                    let qs_val = (qs_word >> half2) & 0xFFFFu;
+                    let grid_idx = qs_val & 0x1FFu;
+                    let signs_idx = (qs_val >> 9u) & 0x7Fu;
+                    let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu;
+                    let db = d * (0.5 + f32(sub_scale)) * 0.25;
+                    let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu;
+                    let gw_lo = iq2xs_grid[grid_idx * 2u];
+                    let gw_hi = iq2xs_grid[grid_idx * 2u + 1u];
+                    for (var j = 0u; j < 8u; j++) {
+                        let gw = select(gw_hi, gw_lo, j < 4u);
+                        let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu);
+                        let s = select(1.0, -1.0, ((signs >> j) & 1u) != 0u);
+                        row_sum += db * b * s * x_block[ll * 8u + j];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ2_S
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 82
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qs_w = load_u32_at_src0(block_byte_base + 2u + sub_blk * 4u);
+                let sg_w = load_u32_at_src0(block_byte_base + 34u + sub_blk * 4u);
+                let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u);
+                let qh_byte = get_byte(qh_word, sub_blk % 4u);
+                let sc_word = load_u32_at_src0(block_byte_base + 74u + (sub_blk / 4u) * 4u);
+                let scales_byte = get_byte(sc_word, sub_blk % 4u);
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let qs_byte = get_byte(qs_w, l);
+                    let sign_byte = get_byte(sg_w, l);
+                    let grid_idx = qs_byte | (((qh_byte >> (2u * l)) & 3u) << 8u);
+                    let sub_scale = (scales_byte >> (4u * (l / 2u))) & 0xFu;
+                    let db = d * (0.5 + f32(sub_scale)) * 0.25;
+                    let gw_lo = iq2s_grid[grid_idx * 2u];
+                    let gw_hi = iq2s_grid[grid_idx * 2u + 1u];
+                    for (var j = 0u; j < 8u; j++) {
+                        let gw = select(gw_hi, gw_lo, j < 4u);
+                        let b = f32((gw >> ((j & 3u) * 8u)) & 0xFFu);
+                        let s = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u);
+                        row_sum += db * b * s * x_block[ll * 8u + j];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ3_XXS
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 98
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u);
+                let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u);
+                let aux = load_u32_at_src0(block_byte_base + 66u + sub_blk * 4u);
+                let ls = aux >> 28u;
+                let db = d * (0.5 + f32(ls)) * 0.5;
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let qs_word = select(qs_hi, qs_lo, l < 2u);
+                    let byte_pos = (l % 2u) * 2u;
+                    let grid_idx_0 = (qs_word >> (byte_pos * 8u)) & 0xFFu;
+                    let grid_idx_1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu;
+                    let signs_idx = (aux >> (7u * l)) & 0x7Fu;
+                    let signs = (ksigns_iq2xs[signs_idx / 4u] >> ((signs_idx % 4u) * 8u)) & 0xFFu;
+                    let grid1 = iq3xxs_grid[grid_idx_0];
+                    let grid2 = iq3xxs_grid[grid_idx_1];
+                    for (var j = 0u; j < 4u; j++) {
+                        let b1 = f32((grid1 >> (j * 8u)) & 0xFFu);
+                        let b2 = f32((grid2 >> (j * 8u)) & 0xFFu);
+                        let s1 = select(1.0, -1.0, ((signs >> j) & 1u) != 0u);
+                        let s2 = select(1.0, -1.0, ((signs >> (j + 4u)) & 1u) != 0u);
+                        row_sum += db * b1 * s1 * x_block[ll * 8u + j];
+                        row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ3_S
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 110
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let slot0   = half * 2u;
+    let y_offset = sub_blk * 32u + slot0 * 8u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let qs_lo = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u);
+                let qs_hi = load_u32_at_src0(block_byte_base + 2u + sub_blk * 8u + 4u);
+                let qh_word = load_u32_at_src0(block_byte_base + 66u + (sub_blk / 4u) * 4u);
+                let qh_byte = get_byte(qh_word, sub_blk % 4u);
+                let sg_w = load_u32_at_src0(block_byte_base + 74u + sub_blk * 4u);
+                let sc_word = load_u32_at_src0(block_byte_base + 106u);
+                let scales_byte = get_byte(sc_word, sub_blk / 2u);
+                let sub_scale = (scales_byte >> (4u * (sub_blk % 2u))) & 0xFu;
+                let db = d * (1.0 + 2.0 * f32(sub_scale));
+
+                var row_sum = 0.0;
+                for (var ll = 0u; ll < 2u; ll++) {
+                    let l = slot0 + ll;
+                    let qs_word = select(qs_hi, qs_lo, l < 2u);
+                    let byte_pos = (l % 2u) * 2u;
+                    let qs0 = (qs_word >> (byte_pos * 8u)) & 0xFFu;
+                    let qs1 = (qs_word >> ((byte_pos + 1u) * 8u)) & 0xFFu;
+                    let grid_idx_1 = qs0 | (((qh_byte >> (2u * l)) & 1u) << 8u);
+                    let grid_idx_2 = qs1 | (((qh_byte >> (2u * l + 1u)) & 1u) << 8u);
+                    let sign_byte = get_byte(sg_w, l);
+                    let grid1 = iq3s_grid[grid_idx_1];
+                    let grid2 = iq3s_grid[grid_idx_2];
+                    for (var j = 0u; j < 4u; j++) {
+                        let b1 = f32((grid1 >> (j * 8u)) & 0xFFu);
+                        let b2 = f32((grid2 >> (j * 8u)) & 0xFFu);
+                        let s1 = select(1.0, -1.0, ((sign_byte >> j) & 1u) != 0u);
+                        let s2 = select(1.0, -1.0, ((sign_byte >> (j + 4u)) & 1u) != 0u);
+                        row_sum += db * b1 * s1 * x_block[ll * 8u + j];
+                        row_sum += db * b2 * s2 * x_block[ll * 8u + j + 4u];
+                    }
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ4_NL
+#define BLOCK_SIZE 32
+#define BLOCK_SIZE_BYTES 18
+#define THREADS_PER_BLOCK 4
+#define ELEMS_PER_THREAD (BLOCK_SIZE/THREADS_PER_BLOCK)
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+    let thread_within_block = thread_id % THREADS_PER_BLOCK;
+    for (var block = thread_id / THREADS_PER_BLOCK; block < num_blocks; block += WG_SIZE / THREADS_PER_BLOCK) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + thread_within_block * 4u;
+        var x_block: array<f32, ELEMS_PER_THREAD>;
+        for (var i = 0u; i < ELEMS_PER_THREAD / 2u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+            x_block[i + 4u] = f32(src1[x_base + i + 16u]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                var row_sum = 0.0;
+
+                let q_packed = load_u32_at_src0(block_byte_base + 2u + 4u * thread_within_block);
+                for (var byte_idx = 0u; byte_idx < 4u; byte_idx++) {
+                    let q_byte = get_byte(q_packed, byte_idx);
+                    let q_lo = f32(kvalues_iq4nl[q_byte & 0xFu]) * d;
+                    let q_hi = f32(kvalues_iq4nl[(q_byte >> 4u) & 0xFu]) * d;
+                    row_sum += q_lo * x_block[byte_idx];
+                    row_sum += q_hi * x_block[byte_idx + 4u];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
+
+#ifdef MUL_ACC_IQ4_XS
+#define BLOCK_SIZE 256
+#define BLOCK_SIZE_BYTES 136
+#define THREADS_PER_BLOCK 16
+fn accumulate_vec_dot(thread_id: u32, row_base: u32, src0_batch_offset: u32, src1_idx_base: u32) -> array<f32, OUTPUTS_PER_WG> {
+    var acc: array<f32, OUTPUTS_PER_WG>;
+
+    let tid = thread_id % THREADS_PER_BLOCK;
+    let block_group = thread_id / THREADS_PER_BLOCK;
+    let num_block_groups: u32 = WG_SIZE / THREADS_PER_BLOCK;
+
+    let sub_blk = tid / 2u;
+    let half    = tid % 2u;
+    let y_offset = sub_blk * 32u + half * 16u;
+
+    let num_blocks = params.k / BLOCK_SIZE;
+
+    for (var block = block_group; block < num_blocks; block += num_block_groups) {
+        let x_base = src1_idx_base + block * BLOCK_SIZE + y_offset;
+        var x_block: array<f32, 16>;
+        for (var i = 0u; i < 16u; i++) {
+            x_block[i] = f32(src1[x_base + i]);
+        }
+
+        for (var row = 0u; row < OUTPUTS_PER_WG; row++) {
+            let output_row = row_base + row;
+            if (output_row < params.m) {
+                let block_byte_base = (src0_batch_offset + output_row * params.stride_01 + block) * BLOCK_SIZE_BYTES;
+                let d = f32(load_f16_at_src0(block_byte_base));
+                let scales_h = load_u16_at_src0(block_byte_base + 2u);
+                let scales_l_word = load_u32_at_src0(block_byte_base + 4u);
+                let sl_byte = get_byte(scales_l_word, sub_blk / 2u);
+                let sl = (sl_byte >> (4u * (sub_blk % 2u))) & 0xFu;
+                let sh_bits = (scales_h >> (2u * sub_blk)) & 3u;
+                let ls = i32(sl | (sh_bits << 4u));
+                let dl = d * f32(ls - 32);
+
+                let qs_byte_off = 8u + sub_blk * 16u;
+                let q_w0 = load_u32_at_src0(block_byte_base + qs_byte_off);
+                let q_w1 = load_u32_at_src0(block_byte_base + qs_byte_off + 4u);
+                let q_w2 = load_u32_at_src0(block_byte_base + qs_byte_off + 8u);
+                let q_w3 = load_u32_at_src0(block_byte_base + qs_byte_off + 12u);
+
+                var row_sum = 0.0;
+                for (var i = 0u; i < 16u; i++) {
+                    let q_word = select(
+                        select(q_w0, q_w1, i >= 4u),
+                        select(q_w2, q_w3, i >= 12u),
+                        i >= 8u);
+                    let q_byte = get_byte(q_word, i % 4u);
+                    let nib = select(q_byte & 0xFu, (q_byte >> 4u) & 0xFu, half == 1u);
+                    row_sum += f32(kvalues_iq4nl[nib]) * dl * x_block[i];
+                }
+                acc[row] += row_sum;
+            }
+        }
+    }
+
+    return acc;
+}
+#endif
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm_mul.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm_mul.wgsl
new file mode 100644
index 000000000..fd20a4e54
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/rms_norm_mul.wgsl
@@ -0,0 +1,152 @@
+#ifdef OVERLAP
+
+@group(0) @binding(0)
+var<storage, read_write> rn_src: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> mul_src: array<f32>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+fn update(rn_src_offset: u32, dst_offset: u32, scale: f32, mul_src_offset: u32) {
+    mul_src[dst_offset] = scale * rn_src[rn_src_offset] * mul_src[mul_src_offset];
+}
+
+#elif INPLACE
+
+@group(0) @binding(0)
+var<storage, read_write> rn_src: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> mul_src: array<f32>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+fn update(rn_src_offset: u32, dst_offset: u32, scale: f32, mul_src_offset: u32) {
+    rn_src[dst_offset] = scale * rn_src[rn_src_offset] * mul_src[mul_src_offset];
+}
+
+#elif SRC_OVERLAP
+
+@group(0) @binding(0)
+var<storage, read_write> merged_src: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> dst: array<f32>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+fn update(rn_src_offset: u32, dst_offset: u32, scale: f32, mul_src_offset: u32) {
+    dst[dst_offset] = scale * merged_src[rn_src_offset] * merged_src[mul_src_offset];
+}
+
+#else
+
+@group(0) @binding(0)
+var<storage, read_write> rn_src: array<f32>;
+
+@group(0) @binding(1)
+var<storage, read_write> mul_src: array<f32>;
+
+@group(0) @binding(2)
+var<storage, read_write> dst: array<f32>;
+
+@group(0) @binding(3)
+var<uniform> params: Params;
+
+fn update(rn_src_offset: u32, dst_offset: u32, scale: f32, mul_src_offset: u32) {
+    dst[dst_offset] = scale * rn_src[rn_src_offset] * mul_src[mul_src_offset];
+}
+
+#endif
+
+struct Params {
+    offset_rn_src: u32,
+    offset_mul_src: u32,
+    offset_dst: u32,
+
+    stride_rn_src1: u32,
+    stride_rn_src2: u32,
+    stride_rn_src3: u32,
+
+    stride_mul_src1: u32,
+    stride_mul_src2: u32,
+    stride_mul_src3: u32,
+
+    stride_dst1: u32,
+    stride_dst2: u32,
+    stride_dst3: u32,
+
+    mul_src_ne0: u32,
+    mul_src_ne1: u32,
+    mul_src_ne2: u32,
+    mul_src_ne3: u32,
+
+    ne0: u32,
+    ne1: u32,
+    ne2: u32,
+    ne3: u32,
+
+    eps: f32
+};
+
+var<workgroup> scratch: array<f32, WG_SIZE>;
+
+@compute @workgroup_size(WG_SIZE)
+fn main(@builtin(workgroup_id) wid: vec3<u32>,
+        @builtin(local_invocation_id) lid: vec3<u32>) {
+
+    // one thread per row
+    var i = wid.x;
+    let i3 = i / (params.ne2 * params.ne1);
+    i = i % (params.ne2 * params.ne1);
+    let i2 = i / params.ne1;
+    let i1 = i % params.ne1;
+    let i_rn_src_row = params.offset_rn_src + i3 * params.stride_rn_src3 + i2 * params.stride_rn_src2 + i1 * params.stride_rn_src1;
+    let i_mul_src_row = params.offset_mul_src + (i3 % params.mul_src_ne3) * params.stride_mul_src3 + (i2 % params.mul_src_ne2) * params.stride_mul_src2 + (i1 % params.mul_src_ne1) * params.stride_mul_src1;
+    let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1;
+
+    let elems = (params.ne0 + WG_SIZE - 1) / WG_SIZE;
+
+    var sum = 0.0f;
+    var col = lid.x;
+    for (var j: u32 = 0; j < elems; j++) {
+        if (col >= params.ne0) {
+            break;
+        }
+#ifdef SRC_OVERLAP
+        sum += pow(merged_src[i_rn_src_row + col], 2.0);
+#else
+        sum += pow(rn_src[i_rn_src_row + col], 2.0);
+#endif
+        col += WG_SIZE;
+    }
+
+    scratch[lid.x] = sum;
+
+    workgroupBarrier();
+
+    var offset: u32 = WG_SIZE / 2;
+    while (offset > 0) {
+        if (lid.x < offset) {
+            scratch[lid.x] += scratch[lid.x + offset];
+        }
+        offset = offset / 2;
+        workgroupBarrier();
+    }
+    sum = scratch[0];
+
+    let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps);
+
+    col = lid.x;
+    for (var j: u32 = 0; j < elems; j++) {
+        if (col >= params.ne0) {
+            break;
+        }
+        update(i_rn_src_row + col, i_dst_row + col, scale, i_mul_src_row + col % params.mul_src_ne0);
+        col += WG_SIZE;
+    }
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
index bd8d32bde..5eaf5e7bb 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
@@ -1,20 +1,17 @@
-#ifdef INPLACE
-fn update(src_offset: u32, dst_offset: u32, scale: f32) {
-    src[dst_offset] = scale * src[src_offset];
-}
+#if defined(SRC_F16) || defined(DST_F16)
+enable f16;
+#endif
 
-@group(0) @binding(1)
-var<uniform> params: Params;
+#ifdef SRC_F16
+#define SRC_TYPE f16
 #else
-fn update(src_offset: u32, dst_offset: u32, scale: f32) {
-    dst[dst_offset] = scale * src[src_offset];
-}
-
-@group(0) @binding(1)
-var<storage, read_write> dst: array<f32>;
+#define SRC_TYPE f32
+#endif
 
-@group(0) @binding(2)
-var<uniform> params: Params;
+#ifdef DST_F16
+#define DST_TYPE f16
+#else
+#define DST_TYPE f32
 #endif
 
 struct Params {
@@ -40,9 +37,20 @@ struct Params {
 };
 
 @group(0) @binding(0)
-var<storage, read_write> src: array<f32>;
+var<storage, read_write> src: array<SRC_TYPE>;
 
-var<workgroup> scratch: array<f32, WG_SIZE>;
+#ifdef INPLACE
+@group(0) @binding(1)
+var<uniform> params: Params;
+#else
+@group(0) @binding(1)
+var<storage, read_write> dst: array<DST_TYPE>;
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+#endif
+
+var<workgroup> scratch: array<f32, WG_SIZE * 2u>;
 
 @compute @workgroup_size(WG_SIZE)
 fn main(@builtin(workgroup_id) wid: vec3<u32>,
@@ -65,34 +73,81 @@ fn main(@builtin(workgroup_id) wid: vec3<u32>,
         if (col >= params.ne0) {
             break;
         }
-        sum += pow(src[i_src_row + col], 2.0);
+        let v = f32(src[i_src_row + col]);
+#ifdef NORM
+        sum += v;
+#else
+        sum += v * v;
+#endif
         col += WG_SIZE;
     }
 
     scratch[lid.x] = sum;
     workgroupBarrier();
-    var offset: u32 = WG_SIZE / 2;
+
+    var offset: u32 = WG_SIZE / 2u;
     while (offset > 0) {
         if (lid.x < offset) {
             scratch[lid.x] += scratch[lid.x + offset];
         }
-        offset = offset / 2;
+        offset /= 2u;
         workgroupBarrier();
     }
     sum = scratch[0];
 
-#ifdef RMS_NORM
+#ifdef NORM
+    let mean = sum / f32(params.ne0);
+    var sq_sum = 0.0f;
+    col = lid.x;
+    for (var j: u32 = 0; j < elems; j++) {
+        if (col >= params.ne0) {
+            break;
+        }
+        let v = f32(src[i_src_row + col]);
+        let d = v - mean;
+        sq_sum += d * d;
+        col += WG_SIZE;
+    }
+
+    workgroupBarrier();
+    scratch[lid.x] = sq_sum;
+    workgroupBarrier();
+    offset = WG_SIZE / 2u;
+    while (offset > 0) {
+        if (lid.x < offset) {
+            scratch[lid.x] += scratch[lid.x + offset];
+        }
+        offset /= 2u;
+        workgroupBarrier();
+    }
+
+    let variance = scratch[0] / f32(params.ne0);
+    let scale = 1.0 / sqrt(variance + params.eps);
+#elif defined(RMS_NORM)
     let scale = 1.0/sqrt(sum/f32(params.ne0) + params.eps);
 #elif defined(L2_NORM)
     let scale = 1.0/max(sqrt(sum), params.eps);
 #endif
 
+#ifdef NORM
+    let mean_val = mean;
+#else
+    let mean_val = 0.0f;
+#endif
+
     col = lid.x;
     for (var j: u32 = 0; j < elems; j++) {
         if (col >= params.ne0) {
             break;
         }
-        update(i_src_row + col, i_dst_row + col, scale);
+        let i_src = i_src_row + col;
+        let i_dst = i_dst_row + col;
+        let v = src[i_src];
+#ifdef INPLACE
+        src[i_dst] = scale * (v - mean_val);
+#else
+        dst[i_dst] = scale * (v - mean_val);
+#endif
         col += WG_SIZE;
     }
 }
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/ssm_scan.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_scan.wgsl
new file mode 100644
index 000000000..05761dec3
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/ssm_scan.wgsl
@@ -0,0 +1,193 @@
+#ifdef USE_SUBGROUP_REDUCTION
+enable subgroups;
+#endif
+
+struct Params {
+    offset_s: u32,
+    offset_x: u32,
+    offset_dt: u32,
+    offset_A: u32,
+    offset_B: u32,
+    offset_C: u32,
+    offset_ids: u32,
+    offset_dst: u32,
+
+    stride_s1: u32,
+    stride_s2: u32,
+    stride_s3: u32,
+
+    stride_x1: u32,
+    stride_x2: u32,
+    stride_x3: u32,
+
+    stride_dt1: u32,
+    stride_dt2: u32,
+
+    a_ne0: u32,
+    stride_A1: u32,
+
+    stride_B1: u32,
+    stride_B2: u32,
+    stride_B3: u32,
+
+    stride_C1: u32,
+    stride_C2: u32,
+    stride_C3: u32,
+
+    d_state: u32,
+    d_inner: u32,
+    n_head: u32,
+    n_group: u32,
+    n_seq_tokens: u32,
+    n_seqs: u32,
+
+    y_elems: u32,
+};
+
+@group(0) @binding(0) var<storage, read_write> s_in: array<f32>;
+#ifdef XBC_OVERLAP
+@group(0) @binding(1) var<storage, read_write> x_B_C_merged: array<f32>;
+@group(0) @binding(2) var<storage, read_write> dt: array<f32>;
+@group(0) @binding(3) var<storage, read_write> A: array<f32>;
+@group(0) @binding(4) var<storage, read_write> ids: array<i32>;
+@group(0) @binding(5) var<storage, read_write> dst: array<f32>;
+@group(0) @binding(6) var<uniform> params: Params;
+#else
+@group(0) @binding(1) var<storage, read_write> x: array<f32>;
+@group(0) @binding(2) var<storage, read_write> dt: array<f32>;
+@group(0) @binding(3) var<storage, read_write> A: array<f32>;
+@group(0) @binding(4) var<storage, read_write> B: array<f32>;
+@group(0) @binding(5) var<storage, read_write> C: array<f32>;
+@group(0) @binding(6) var<storage, read_write> ids: array<i32>;
+@group(0) @binding(7) var<storage, read_write> dst: array<f32>;
+@group(0) @binding(8) var<uniform> params: Params;
+#endif
+
+var<workgroup> shared_x_dt: array<f32, TOKENS_PER_TILE>;
+var<workgroup> shared_dtsp: array<f32, TOKENS_PER_TILE>;
+var<workgroup> shared_reduce: array<f32, TOKENS_PER_TILE * WG_SIZE>;
+
+fn reduce_base(token_in_tile: u32) -> u32 {
+    return token_in_tile * WG_SIZE;
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(local_invocation_id) local_id: vec3<u32>,
+    @builtin(workgroup_id) wg_id: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+#ifdef USE_SUBGROUP_REDUCTION
+  , @builtin(subgroup_id) subgroup_id: u32,
+    @builtin(subgroup_invocation_id) subgroup_invocation_id: u32,
+    @builtin(num_subgroups) num_subgroups: u32
+#endif
+) {
+    let tid = local_id.x;
+    let wg_linear = wg_id.y * num_wg.x + wg_id.x;
+
+    let i1 = wg_linear % params.d_inner;
+    let head_seq = wg_linear / params.d_inner;
+    let ir = head_seq % params.n_head;
+    let i3 = head_seq / params.n_head;
+
+    let state_slot = u32(ids[params.offset_ids + i3]);
+    let g = ir / (params.n_head / params.n_group);
+
+    let s_idx = params.offset_s + tid + i1 * params.stride_s1 + ir * params.stride_s2 + state_slot * params.stride_s3;
+    var s_prev = s_in[s_idx];
+
+    let A0 = A[params.offset_A + (tid % params.a_ne0) + ir * params.stride_A1];
+
+    for (var token_base = 0u; token_base < params.n_seq_tokens; token_base += TOKENS_PER_TILE) {
+        if (tid < TOKENS_PER_TILE) {
+            let token = token_base + tid;
+            if (token < params.n_seq_tokens) {
+                let x_idx = params.offset_x + i1 + ir * params.stride_x1 + token * params.stride_x2 + i3 * params.stride_x3;
+                let dt_idx = params.offset_dt + ir + token * params.stride_dt1 + i3 * params.stride_dt2;
+                let dt0 = dt[dt_idx];
+                let dtsp = select(log(1.0 + exp(dt0)), dt0, dt0 > 20.0);
+                shared_dtsp[tid] = dtsp;
+#ifdef XBC_OVERLAP
+                shared_x_dt[tid] = x_B_C_merged[x_idx] * dtsp;
+#else
+                shared_x_dt[tid] = x[x_idx] * dtsp;
+#endif
+            }
+        }
+
+        workgroupBarrier();
+
+        for (var token_in_tile = 0u; token_in_tile < TOKENS_PER_TILE; token_in_tile++) {
+            let token = token_base + token_in_tile;
+            if (token >= params.n_seq_tokens) {
+                break;
+            }
+
+            let x_dt = shared_x_dt[token_in_tile];
+            let dA = exp(shared_dtsp[token_in_tile] * A0);
+            let reduce_idx = reduce_base(token_in_tile) + tid;
+
+            let b_idx = params.offset_B + tid + g * params.stride_B1 + token * params.stride_B2 + i3 * params.stride_B3;
+            let c_idx = params.offset_C + tid + g * params.stride_C1 + token * params.stride_C2 + i3 * params.stride_C3;
+#ifdef XBC_OVERLAP
+            let s = s_prev * dA + x_B_C_merged[b_idx] * x_dt;
+#else
+            let s = s_prev * dA + B[b_idx] * x_dt;
+#endif
+            s_prev = s;
+
+#ifdef USE_SUBGROUP_REDUCTION
+#ifdef XBC_OVERLAP
+            let subgroup_partial = subgroupAdd(s * x_B_C_merged[c_idx]);
+#else
+            let subgroup_partial = subgroupAdd(s * C[c_idx]);
+#endif
+            if (subgroup_invocation_id == 0u) {
+                shared_reduce[reduce_idx - tid + subgroup_id] = subgroup_partial;
+            }
+#else
+#ifdef XBC_OVERLAP
+            shared_reduce[reduce_idx] = s * x_B_C_merged[c_idx];
+#else
+            shared_reduce[reduce_idx] = s * C[c_idx];
+#endif
+#endif
+
+            workgroupBarrier();
+
+#ifdef USE_SUBGROUP_REDUCTION
+            if (tid == 0u) {
+                var sum = 0.0;
+                for (var sg = 0u; sg < num_subgroups; sg++) {
+                    sum += shared_reduce[reduce_base(token_in_tile) + sg];
+                }
+                let y_idx =
+                    params.offset_dst + i1 + ir * params.d_inner + token * (params.n_head * params.d_inner) +
+                    i3 * (params.n_seq_tokens * params.n_head * params.d_inner);
+                dst[y_idx] = sum;
+            }
+#else
+            for (var stride = WG_SIZE / 2u; stride > 0u; stride >>= 1u) {
+                if (tid < stride) {
+                    shared_reduce[reduce_idx] += shared_reduce[reduce_idx + stride];
+                }
+                workgroupBarrier();
+            }
+
+            if (tid == 0u) {
+                let y_idx =
+                    params.offset_dst + i1 + ir * params.d_inner + token * (params.n_head * params.d_inner) +
+                    i3 * (params.n_seq_tokens * params.n_head * params.d_inner);
+                dst[y_idx] = shared_reduce[reduce_base(token_in_tile)];
+            }
+#endif
+
+            workgroupBarrier();
+        }
+    }
+
+    let state_idx =
+        params.offset_dst + params.y_elems + tid + i1 * params.d_state + ir * (params.d_state * params.d_inner) +
+        i3 * (params.d_state * params.d_inner * params.n_head);
+    dst[state_idx] = s_prev;
+}
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
index 21beb9bb9..b8f1bca12 100644
--- a/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/unary.wgsl
@@ -107,7 +107,8 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let res = src[params.offset_src + src_idx] / (1.0 + exp(-src[params.offset_src + src_idx]));
 #endif
 #ifdef EXP
-    let res = exp(src[params.offset_src + src_idx]);
+    let src_f32 = f32(src[params.offset_src + src_idx]);
+    let res = TYPE(exp(src_f32));
 #endif
 #ifdef LOG
     let res = TYPE(log(f32(src[params.offset_src + src_idx])));
@@ -146,22 +147,20 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
                                -9.010913, 9.010913)));
 #endif
 #ifdef XIELU
+    let val = f32(src[params.offset_src + src_idx]);
     let res =
-        select(((exp(min(src[params.offset_src + src_idx], TYPE(params.eps))) - 1.0) -
-                src[params.offset_src + src_idx]) *
-                   TYPE(params.alpha_n) +
-               TYPE(params.beta) * src[params.offset_src + src_idx],
-               TYPE(params.alpha_p) * src[params.offset_src + src_idx] *
-                   src[params.offset_src + src_idx] +
-                   TYPE(params.beta) * src[params.offset_src + src_idx],
-               src[params.offset_src + src_idx] > 0.0);
+        TYPE(select(
+            ((exp(min(val, params.eps)) - 1.0) - val) * params.alpha_n + params.beta * val,
+            params.alpha_p * val * val + params.beta * val,
+            val > 0.0));
 #endif
 #ifdef SOFTPLUS
     let src_f32 = f32(src[params.offset_src + src_idx]);
     let res = TYPE(select(log(1.0 + exp(src_f32)), src_f32, src_f32 > 20.0));
 #endif
 #ifdef EXPM1
-    let res = exp(src[params.offset_src + src_idx]) - 1.0;
+    let src_f32 = f32(src[params.offset_src + src_idx]);
+    let res = TYPE(exp(src_f32) - 1.0);
 #endif
 #ifdef FLOOR
     let res = floor(src[params.offset_src + src_idx]);
@@ -181,7 +180,7 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
     let res = src[params.offset_src + src_idx] * src[params.offset_src + src_idx];
 #endif
 #ifdef SQRT
-    let res = sqrt(src[params.offset_src + src_idx]);
+    let res = TYPE(sqrt(f32(src[params.offset_src + src_idx])));
 #endif
 #ifdef SIN
     let res_f32 = sin(f32(src[params.offset_src + src_idx]));
diff --git a/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl b/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl
new file mode 100644
index 000000000..e9ef88226
--- /dev/null
+++ b/ggml/src/ggml-webgpu/wgsl-shaders/upscale.wgsl
@@ -0,0 +1,240 @@
+#if defined(SRC_F16) || defined(DST_F16)
+enable f16;
+#endif
+
+#ifdef SRC_F16
+#define SRC_TYPE f16
+#else
+#define SRC_TYPE f32
+#endif
+
+#ifdef DST_F16
+#define DST_TYPE f16
+#else
+#define DST_TYPE f32
+#endif
+
+@group(0) @binding(0)
+var<storage, read_write> input: array<SRC_TYPE>;
+
+@group(0) @binding(1)
+var<storage, read_write> output: array<DST_TYPE>;
+
+struct Params {
+    offset_i: u32,
+    offset_o: u32,
+
+    // element strides
+    si0: u32, si1: u32, si2: u32, si3: u32,
+    so0: u32, so1: u32, so2: u32, so3: u32,
+
+    src_w: u32,
+    src_h: u32,
+    src_z: u32,
+    src_n: u32,
+
+    dst_w: u32,
+    dst_h: u32,
+    dst_z: u32,
+    dst_n: u32,
+
+    mode_flags: u32,
+};
+
+@group(0) @binding(2)
+var<uniform> params: Params;
+
+const GGML_SCALE_FLAG_ALIGN_CORNERS: u32 = 1u << 8u;
+
+fn get_clamped_input(x: i32, y: i32, z: u32, n: u32) -> f32 {
+    let cx = u32(clamp(x, 0, i32(params.src_w) - 1));
+    let cy = u32(clamp(y, 0, i32(params.src_h) - 1));
+    let i = params.offset_i + cx * params.si0 + cy * params.si1 + z * params.si2 + n * params.si3;
+    return f32(input[i]);
+}
+
+fn cubic_weight(t: f32, a: f32) -> f32 {
+    let at = abs(t);
+    if (at <= 1.0) {
+        return (a + 2.0) * at * at * at - (a + 3.0) * at * at + 1.0;
+    } else if (at <= 2.0) {
+        return a * at * at * at - 5.0 * a * at * at + 8.0 * a * at - 4.0 * a;
+    } else {
+        return 0.0;
+    }
+}
+
+@compute @workgroup_size(WG_SIZE)
+fn main(
+    @builtin(global_invocation_id) gid: vec3<u32>,
+    @builtin(num_workgroups) num_wg: vec3<u32>
+) {
+
+    let i_out = gid.x + (num_wg.x * u32(WG_SIZE)) * gid.y;
+    let total = params.dst_w * params.dst_h * params.dst_z * params.dst_n;
+
+    if (i_out >= total) {
+        return;
+    }
+
+    // decode (x, y, z, n)
+    var i = i_out;
+    let x_dst = i % params.dst_w;
+    i = i / params.dst_w;
+    let y_dst = i % params.dst_h;
+    i = i / params.dst_h;
+    let z_dst = i % params.dst_z;
+    let n_dst = i / params.dst_z;
+
+    // scale factors
+    var sf0 = f32(params.dst_w) / f32(params.src_w);
+    var sf1 = f32(params.dst_h) / f32(params.src_h);
+    var sf2 = f32(params.dst_z) / f32(params.src_z);
+    var sf3 = f32(params.dst_n) / f32(params.src_n);
+
+    let align_corners = (params.mode_flags & GGML_SCALE_FLAG_ALIGN_CORNERS) != 0;
+
+    // pixel_offset: 0.5 for half-pixel-center (default), 0.0 for align_corners
+    var pixel_offset = 0.5;
+    if (align_corners) {
+        pixel_offset = 0.0;
+        if (params.dst_w > 1 && params.src_w > 1) {
+            sf0 = f32(params.dst_w - 1) / f32(params.src_w - 1);
+        }
+        if (params.dst_h > 1 && params.src_h > 1) {
+            sf1 = f32(params.dst_h - 1) / f32(params.src_h - 1);
+        }
+    }
+
+    let z_src = min(params.src_z - 1, u32(floor(f32(z_dst) / sf2)));
+    let n_src = min(params.src_n - 1, u32(floor(f32(n_dst) / sf3)));
+
+    var result = 0.0;
+
+#if defined(NEAREST)
+
+    let x_src = min(params.src_w - 1, u32(floor(f32(x_dst) / sf0)));
+    let y_src = min(params.src_h - 1, u32(floor(f32(y_dst) / sf1)));
+
+    result = get_clamped_input(i32(x_src), i32(y_src), z_src, n_src);
+
+#elif defined(BILINEAR)
+
+#if defined(ANTIALIAS)
+
+    // Antialiased bilinear: triangle filter over a variable support region.
+    let support0 = max(1.0f / sf0, 1.0f);
+    let support1 = max(1.0f / sf1, 1.0f);
+    let invscale0 = 1.0 / support0;
+    let invscale1 = 1.0 / support1;
+
+    let fx = (f32(x_dst) + pixel_offset) / sf0;
+    let fy = (f32(y_dst) + pixel_offset) / sf1;
+
+    let x_min = max(i32(fx - support0 + pixel_offset), 0);
+    let y_min = max(i32(fy - support1 + pixel_offset), 0);
+    let x_max = min(i32(fx + support0 + pixel_offset), i32(params.src_w));
+    let y_max = min(i32(fy + support1 + pixel_offset), i32(params.src_h));
+
+    var weighted_sum = 0.0;
+    var total_weight = 0.0;
+
+    for (var x = x_min; x < x_max; x += 1) {
+        let wx = max(1.0 - abs(f32(x) - fx + pixel_offset) * invscale0, 0.0);
+        for (var y = y_min; y < y_max; y += 1) {
+            let wy = max(1.0 - abs(f32(y) - fy + pixel_offset) * invscale1, 0.0);
+            let w = wx * wy;
+            if (w > 0.0) {
+                weighted_sum += get_clamped_input(x, y, z_src, n_src) * w;
+                total_weight += w;
+            }
+        }
+    }
+
+    if (total_weight > 0.0) {
+        result = weighted_sum / total_weight;
+    }
+
+#else
+
+    let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset;
+    let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset;
+    let x0 = i32(floor(fx));
+    let y0 = i32(floor(fy));
+    let dx = clamp(fx - f32(x0), 0.0, 1.0);
+    let dy = clamp(fy - f32(y0), 0.0, 1.0);
+    let a = get_clamped_input(x0, y0, z_src, n_src);
+    let b = get_clamped_input(x0 + 1, y0, z_src, n_src);
+    let c = get_clamped_input(x0, y0 + 1, z_src, n_src);
+    let d = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src);
+
+    let wa = (1.0 - dx) * (1.0 - dy);
+    let wb = dx * (1.0 - dy);
+    let wc = (1.0 - dx) * dy;
+    let wd = dx * dy;
+
+    result = a * wa + b * wb + c * wc + d * wd;
+
+#endif
+
+#elif defined(BICUBIC)
+
+    // bicubic convolution with alpha = -0.75 (PyTorch default)
+    let alpha = -0.75;
+    let fx = (f32(x_dst) + pixel_offset) / sf0 - pixel_offset;
+    let fy = (f32(y_dst) + pixel_offset) / sf1 - pixel_offset;
+
+    let x0 = i32(floor(fx));
+    let y0 = i32(floor(fy));
+    let dx = fx - f32(x0);
+    let dy = fy - f32(y0);
+
+    // horizontal weights for offsets -1, 0, 1, 2
+    let wx0 = cubic_weight(dx + 1.0, alpha);
+    let wx1 = cubic_weight(dx, alpha);
+    let wx2 = cubic_weight(1.0 - dx, alpha);
+    let wx3 = cubic_weight(2.0 - dx, alpha);
+
+    // vertical weights for offsets -1, 0, 1, 2
+    let wy0 = cubic_weight(dy + 1.0, alpha);
+    let wy1 = cubic_weight(dy, alpha);
+    let wy2 = cubic_weight(1.0 - dy, alpha);
+    let wy3 = cubic_weight(2.0 - dy, alpha);
+
+    // intermediate horizontal interpolation for 4x4 grid of pixels
+    // x0-1, x0, x0+1, x0+2, y0-1
+    let p0 = get_clamped_input(x0 - 1, y0 - 1, z_src, n_src);
+    let p1 = get_clamped_input(x0, y0 - 1, z_src, n_src);
+    let p2 = get_clamped_input(x0 + 1, y0 - 1, z_src, n_src);
+    let p3 = get_clamped_input(x0 + 2, y0 - 1, z_src, n_src);
+    let row0 = p0 * wx0 + p1 * wx1 + p2 * wx2 + p3 * wx3;
+
+    // x0-1, x0, x0+1, x0+2, y0
+    let q0 = get_clamped_input(x0 - 1, y0, z_src, n_src);
+    let q1 = get_clamped_input(x0, y0, z_src, n_src);
+    let q2 = get_clamped_input(x0 + 1, y0, z_src, n_src);
+    let q3 = get_clamped_input(x0 + 2, y0, z_src, n_src);
+    let row1 = q0 * wx0 + q1 * wx1 + q2 * wx2 + q3 * wx3;
+
+    // x0-1, x0, x0+1, x0+2, y0+1
+    let r0 = get_clamped_input(x0 - 1, y0 + 1, z_src, n_src);
+    let r1 = get_clamped_input(x0, y0 + 1, z_src, n_src);
+    let r2 = get_clamped_input(x0 + 1, y0 + 1, z_src, n_src);
+    let r3 = get_clamped_input(x0 + 2, y0 + 1, z_src, n_src);
+    let row2 = r0 * wx0 + r1 * wx1 + r2 * wx2 + r3 * wx3;
+
+    // x0-1, x0, x0+1, x0+2, y0+2
+    let s0 = get_clamped_input(x0 - 1, y0 + 2, z_src, n_src);
+    let s1 = get_clamped_input(x0, y0 + 2, z_src, n_src);
+    let s2 = get_clamped_input(x0 + 1, y0 + 2, z_src, n_src);
+    let s3 = get_clamped_input(x0 + 2, y0 + 2, z_src, n_src);
+    let row3 = s0 * wx0 + s1 * wx1 + s2 * wx2 + s3 * wx3;
+
+    // final vertical interpolation
+    result = row0 * wy0 + row1 * wy1 + row2 * wy2 + row3 * wy3;
+
+#endif
+
+    let dst_idx = params.offset_o + x_dst * params.so0 + y_dst * params.so1 + z_dst * params.so2 + n_dst * params.so3;
+    output[dst_idx] = DST_TYPE(result);
+}
diff --git a/ggml/src/ggml-zdnn/ggml-zdnn.cpp b/ggml/src/ggml-zdnn/ggml-zdnn.cpp
index 9b6938abf..639b818d1 100644
--- a/ggml/src/ggml-zdnn/ggml-zdnn.cpp
+++ b/ggml/src/ggml-zdnn/ggml-zdnn.cpp
@@ -313,6 +313,8 @@ static ggml_backend_buffer_i ggml_backend_zdnn_buffer_i = {
     /* .memset_tensor = */ ggml_backend_zdnn_buffer_memset_tensor,
     /* .set_tensor    = */ ggml_backend_zdnn_buffer_set_tensor,
     /* .get_tensor    = */ ggml_backend_zdnn_buffer_get_tensor,
+    /* .set_tensor_2d = */ NULL,
+    /* .get_tensor_2d = */ NULL,
     /* .cpy_tensor    = */ NULL,
     /* .clear         = */ ggml_backend_zdnn_buffer_clear,
     /* .reset         = */ NULL,
@@ -417,20 +419,22 @@ static enum ggml_status ggml_backend_zdnn_graph_compute(ggml_backend_t backend,
 }
 
 static ggml_backend_i ggml_backend_zdnn_i = {
-    /* .get_name           = */ ggml_backend_zdnn_name,
-    /* .free               = */ ggml_backend_zdnn_free,
-    /* .set_tensor_async   = */ NULL,
-    /* .get_tensor_async   = */ NULL,
-    /* .cpy_tensor_async   = */ NULL,
-    /* .synchronize        = */ NULL,
-    /* .graph_plan_create  = */ NULL,
-    /* .graph_plan_free    = */ NULL,
-    /* .graph_plan_update  = */ NULL,
-    /* .graph_plan_compute = */ NULL,
-    /* .graph_compute      = */ ggml_backend_zdnn_graph_compute,
-    /* .event_record       = */ NULL,
-    /* .event_wait         = */ NULL,
-    /* .graph_optimize     = */ NULL,
+    /* .get_name               = */ ggml_backend_zdnn_name,
+    /* .free                   = */ ggml_backend_zdnn_free,
+    /* .set_tensor_async       = */ NULL,
+    /* .get_tensor_async       = */ NULL,
+    /* .set_tensor_2d_async    = */ NULL,
+    /* .get_tensor_2d_async    = */ NULL,
+    /* .cpy_tensor_async       = */ NULL,
+    /* .synchronize            = */ NULL,
+    /* .graph_plan_create      = */ NULL,
+    /* .graph_plan_free        = */ NULL,
+    /* .graph_plan_update      = */ NULL,
+    /* .graph_plan_compute     = */ NULL,
+    /* .graph_compute          = */ ggml_backend_zdnn_graph_compute,
+    /* .event_record           = */ NULL,
+    /* .event_wait             = */ NULL,
+    /* .graph_optimize         = */ NULL,
 };
 
 static ggml_guid_t ggml_backend_zdnn_guid(void) {
diff --git a/ggml/src/ggml-zendnn/ggml-zendnn.cpp b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
index 377303720..2b82c7c1d 100644
--- a/ggml/src/ggml-zendnn/ggml-zendnn.cpp
+++ b/ggml/src/ggml-zendnn/ggml-zendnn.cpp
@@ -407,6 +407,8 @@ static struct ggml_backend_i ggml_backend_zendnn_i = {
     /* .free                    = */ ggml_backend_zendnn_free,
     /* .set_tensor_async        = */ NULL,
     /* .get_tensor_async        = */ NULL,
+    /* .set_tensor_2d_async     = */ NULL,
+    /* .get_tensor_2d_async     = */ NULL,
     /* .cpy_tensor_async        = */ NULL,
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
diff --git a/ggml/src/ggml.c b/ggml/src/ggml.c
index 87b447a03..a195691fc 100644
--- a/ggml/src/ggml.c
+++ b/ggml/src/ggml.c
@@ -53,6 +53,21 @@
 
 #define UNUSED GGML_UNUSED
 
+uint64_t ggml_graph_next_uid(void) {
+#ifdef _MSC_VER
+#if defined(_WIN32)
+    static volatile LONG counter = 1;
+    return (uint64_t) InterlockedIncrement(&counter) - 1;
+#else
+    static volatile long long counter = 1;
+    return (uint64_t) _InterlockedIncrement64(&counter) - 1;
+#endif
+#else
+    static uint64_t counter = 1;
+    return __atomic_fetch_add(&counter, 1, __ATOMIC_RELAXED);
+#endif
+}
+
 // Needed for ggml_fp32_to_bf16_row()
 #if defined(__AVX512BF16__)
 #if defined(_MSC_VER)
@@ -651,6 +666,14 @@ static const struct ggml_type_traits type_traits[GGML_TYPE_COUNT] = {
         .to_float                 = (ggml_to_float_t) ggml_fp16_to_fp32_row,
         .from_float_ref           = (ggml_from_float_t) ggml_fp32_to_fp16_row,
     },
+    [GGML_TYPE_Q1_0] = {
+        .type_name                = "q1_0",
+        .blck_size                = QK1_0,
+        .type_size                = sizeof(block_q1_0),
+        .is_quantized             = true,
+        .to_float                 = (ggml_to_float_t) dequantize_row_q1_0,
+        .from_float_ref           = (ggml_from_float_t) quantize_row_q1_0_ref,
+    },
     [GGML_TYPE_Q4_0] = {
         .type_name                = "q4_0",
         .blck_size                = QK4_0,
@@ -1426,6 +1449,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) {
         case GGML_FTYPE_MOSTLY_BF16:          wtype = GGML_TYPE_BF16;  break;
         case GGML_FTYPE_MOSTLY_Q4_0:          wtype = GGML_TYPE_Q4_0;  break;
         case GGML_FTYPE_MOSTLY_Q4_1:          wtype = GGML_TYPE_Q4_1;  break;
+        case GGML_FTYPE_MOSTLY_Q1_0:          wtype = GGML_TYPE_Q1_0;  break;
         case GGML_FTYPE_MOSTLY_Q5_0:          wtype = GGML_TYPE_Q5_0;  break;
         case GGML_FTYPE_MOSTLY_Q5_1:          wtype = GGML_TYPE_Q5_1;  break;
         case GGML_FTYPE_MOSTLY_Q8_0:          wtype = GGML_TYPE_Q8_0;  break;
@@ -3282,6 +3306,16 @@ void ggml_mul_mat_set_prec(
     ggml_set_op_params_i32(a, 0, prec_i32);
 }
 
+void ggml_mul_mat_set_hint(
+        struct ggml_tensor * a,
+        enum ggml_op_hint    hint) {
+    GGML_ASSERT(a->op == GGML_OP_MUL_MAT);
+
+    const int32_t hint_i32 = (int32_t) hint;
+
+    ggml_set_op_params_i32(a, 1, hint_i32);
+}
+
 // ggml_mul_mat_id
 
 /*
@@ -7163,6 +7197,7 @@ struct ggml_cgraph * ggml_new_graph_custom(struct ggml_context * ctx, size_t siz
         /*.use_counts   =*/ use_counts_ptr,
         /*.hash_table   =*/ { hash_size, hash_used, hash_keys_ptr },
         /*.order        =*/ GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT,
+        /*.uid          =*/ 0,
     };
 
     ggml_hash_set_reset(&cgraph->visited_hash_set);
@@ -7190,6 +7225,7 @@ struct ggml_cgraph ggml_graph_view(struct ggml_cgraph * cgraph0, int i0, int i1)
         /*.use_counts       =*/ cgraph0->use_counts,
         /*.visited_hash_set =*/ cgraph0->visited_hash_set,
         /*.order            =*/ cgraph0->order,
+        /*.uid              =*/ 0
     };
 
     return cgraph;
@@ -7709,7 +7745,7 @@ size_t ggml_quantize_chunk(
                int64_t   nrows,
                int64_t   n_per_row,
            const float * imatrix) {
-    const int64_t n = (int64_t) nrows * n_per_row;
+    const int64_t n = nrows * n_per_row;
 
     if (ggml_quantize_requires_imatrix(type)) {
         GGML_ASSERT(imatrix != NULL);
@@ -7726,20 +7762,21 @@ size_t ggml_quantize_chunk(
     size_t result = 0;
 
     switch (type) {
-        case GGML_TYPE_Q4_0:    result = quantize_q4_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q4_1:    result = quantize_q4_1(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q5_0:    result = quantize_q5_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q5_1:    result = quantize_q5_1(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q8_0:    result = quantize_q8_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_MXFP4:   result = quantize_mxfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_NVFP4:   result = quantize_nvfp4(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q2_K:    result = quantize_q2_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q3_K:    result = quantize_q3_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q4_K:    result = quantize_q4_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q5_K:    result = quantize_q5_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_Q6_K:    result = quantize_q6_K(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_TQ1_0:   result = quantize_tq1_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
-        case GGML_TYPE_TQ2_0:   result = quantize_tq2_0(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q1_0:    result = quantize_q1_0   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q4_0:    result = quantize_q4_0   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q4_1:    result = quantize_q4_1   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q5_0:    result = quantize_q5_0   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q5_1:    result = quantize_q5_1   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q8_0:    result = quantize_q8_0   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_MXFP4:   result = quantize_mxfp4  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_NVFP4:   result = quantize_nvfp4  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q2_K:    result = quantize_q2_K   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q3_K:    result = quantize_q3_K   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q4_K:    result = quantize_q4_K   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q5_K:    result = quantize_q5_K   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_Q6_K:    result = quantize_q6_K   (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_TQ1_0:   result = quantize_tq1_0  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
+        case GGML_TYPE_TQ2_0:   result = quantize_tq2_0  (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ2_XXS: result = quantize_iq2_xxs(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ2_XS:  result = quantize_iq2_xs (src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
         case GGML_TYPE_IQ3_XXS: result = quantize_iq3_xxs(src + start, (char *) dst + start_row * row_size, nrows, n_per_row, imatrix); break;
@@ -7809,9 +7846,9 @@ struct ggml_threadpool_params ggml_threadpool_params_default(int n_threads) {
 }
 
 bool ggml_threadpool_params_match(const struct ggml_threadpool_params * p0, const struct ggml_threadpool_params * p1) {
-    if (p0->n_threads      != p1->n_threads  )    return false;
-    if (p0->prio           != p1->prio       )    return false;
-    if (p0->poll           != p1->poll       )    return false;
-    if (p0->strict_cpu     != p1->strict_cpu )    return false;
+    if (p0->n_threads  != p1->n_threads  ) return false;
+    if (p0->prio       != p1->prio       ) return false;
+    if (p0->poll       != p1->poll       ) return false;
+    if (p0->strict_cpu != p1->strict_cpu ) return false;
     return memcmp(p0->cpumask, p1->cpumask, GGML_MAX_N_THREADS) == 0;
 }
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index 6b1a19a30..308ebe1f4 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -175,6 +175,7 @@ class Attention:
         SLIDING_WINDOW               = "{arch}.attention.sliding_window"
         SCALE                        = "{arch}.attention.scale"
         OUTPUT_SCALE                 = "{arch}.attention.output_scale"
+        VALUE_SCALE                  = "{arch}.attention.value_scale"
         TEMPERATURE_LENGTH           = "{arch}.attention.temperature_length"
         KEY_LENGTH_MLA               = "{arch}.attention.key_length_mla"
         VALUE_LENGTH_MLA             = "{arch}.attention.value_length_mla"
@@ -197,6 +198,7 @@ class Rope:
         FREQ_BASE_SWA             = "{arch}.rope.freq_base_swa"
         SCALING_TYPE              = "{arch}.rope.scaling.type"
         SCALING_FACTOR            = "{arch}.rope.scaling.factor"
+        SCALING_ALPHA             = "{arch}.rope.scaling.alpha"
         SCALING_ATTN_FACTOR       = "{arch}.rope.scaling.attn_factor"
         SCALING_ORIG_CTX_LEN      = "{arch}.rope.scaling.original_context_length"
         SCALING_FINETUNED         = "{arch}.rope.scaling.finetuned"
@@ -338,6 +340,9 @@ class ClipAudio:
         FEED_FORWARD_LENGTH = "clip.audio.feed_forward_length"
         PROJECTION_DIM      = "clip.audio.projection_dim"
         BLOCK_COUNT         = "clip.audio.block_count"
+        CHUNK_SIZE          = "clip.audio.chunk_size"
+        CONV_KERNEL_SIZE    = "clip.audio.conv_kernel_size"
+        MAX_POS_EMB         = "clip.audio.max_pos_emb"
 
         class Attention:
             HEAD_COUNT      = "clip.audio.attention.head_count"
@@ -345,6 +350,9 @@ class Attention:
 
         class Projector:
             STACK_FACTOR    = "clip.audio.projector.stack_factor"
+            WINDOW_SIZE     = "clip.audio.projector.window_size"
+            DOWNSAMPLE_RATE = "clip.audio.projector.downsample_rate"
+            HEAD_COUNT      = "clip.audio.projector.head_count"
 
     class Diffusion:
         SHIFT_LOGITS        = "diffusion.shift_logits"
@@ -471,6 +479,7 @@ class MODEL_ARCH(IntEnum):
     ERNIE4_5_MOE     = auto()
     HUNYUAN_MOE      = auto()
     HUNYUAN_DENSE    = auto()
+    HUNYUAN_VL       = auto()
     SMOLLM3          = auto()
     GPT_OSS          = auto()
     LFM2             = auto()
@@ -506,6 +515,7 @@ class VISION_PROJECTOR_TYPE(IntEnum):
     GEMMA3N   = auto()
     GEMMA3    = auto()
     QWEN3VL   = auto()
+    STEP3VL   = auto()
     COGVLM    = auto()
 
 
@@ -764,6 +774,14 @@ class MODEL_TENSOR(IntEnum):
     V_DS_NORM            = auto() # qwen3vl
     V_DS_FC1             = auto() # qwen3vl
     V_DS_FC2             = auto() # qwen3vl
+    V_MERGER_LN1         = auto() # minicpmv4_6
+    V_MERGER_ATTN_Q      = auto() # minicpmv4_6
+    V_MERGER_ATTN_K      = auto() # minicpmv4_6
+    V_MERGER_ATTN_V      = auto() # minicpmv4_6
+    V_MERGER_ATTN_O      = auto() # minicpmv4_6
+    V_MERGER_DS_LN       = auto() # minicpmv4_6
+    V_MERGER_DS_UP       = auto() # minicpmv4_6
+    V_MERGER_DS_DOWN     = auto() # minicpmv4_6
     V_MM_POST_FC_NORM    = auto() # cogvlm
     V_MM_UP              = auto() # cogvlm
     V_MM_DOWN            = auto() # cogvlm
@@ -797,6 +815,8 @@ class MODEL_TENSOR(IntEnum):
     A_ENC_INP_PROJ        = auto() # gemma4
     A_ENC_CONV1D          = auto()
     A_ENC_CONV1D_NORM     = auto() # gemma3n
+    A_ENC_CONV2D          = auto()
+    A_ENC_CONV_OUT        = auto()
     A_PRE_NORM            = auto()
     A_POST_NORM           = auto()
     A_ENC_LAYER_PRE_NORM  = auto() # gemma3n
@@ -849,6 +869,26 @@ class MODEL_TENSOR(IntEnum):
     A_ENC_CONV_NORM        = auto() # SSM conv
     A_ENC_CONV_PW1         = auto()
     A_ENC_CONV_PW2         = auto()
+    A_CTC_OUT              = auto()
+    A_CTC_OUT_MID          = auto()
+    A_ENC_ATTN_REL_POS_EMB = auto()
+    # qformer projector
+    A_QF_PROJ_QUERY        = auto()
+    A_QF_PROJ_NORM         = auto()
+    A_QF_PROJ_LINEAR       = auto()
+    A_QF_SELF_ATTN_Q       = auto()
+    A_QF_SELF_ATTN_K       = auto()
+    A_QF_SELF_ATTN_V       = auto()
+    A_QF_SELF_ATTN_O       = auto()
+    A_QF_SELF_ATTN_NORM    = auto()
+    A_QF_CROSS_ATTN_Q      = auto()
+    A_QF_CROSS_ATTN_K      = auto()
+    A_QF_CROSS_ATTN_V      = auto()
+    A_QF_CROSS_ATTN_O      = auto()
+    A_QF_CROSS_ATTN_NORM   = auto()
+    A_QF_FFN_UP            = auto()
+    A_QF_FFN_DOWN          = auto()
+    A_QF_FFN_NORM          = auto()
 
 
 MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
@@ -954,6 +994,7 @@ class MODEL_TENSOR(IntEnum):
     MODEL_ARCH.FALCON_H1:        "falcon-h1",
     MODEL_ARCH.HUNYUAN_MOE:      "hunyuan-moe",
     MODEL_ARCH.HUNYUAN_DENSE:    "hunyuan-dense",
+    MODEL_ARCH.HUNYUAN_VL:       "hunyuan_vl",
     MODEL_ARCH.SMOLLM3:          "smollm3",
     MODEL_ARCH.GPT_OSS:          "gpt-oss",
     MODEL_ARCH.LFM2:             "lfm2",
@@ -987,6 +1028,8 @@ class MODEL_TENSOR(IntEnum):
     VISION_PROJECTOR_TYPE.GLM_EDGE:  "adapter",
     VISION_PROJECTOR_TYPE.MERGER:    "qwen2vl_merger",
     VISION_PROJECTOR_TYPE.GEMMA3:    "gemma3",
+    VISION_PROJECTOR_TYPE.QWEN3VL:   "qwen3vl_merger",
+    VISION_PROJECTOR_TYPE.STEP3VL:   "step3vl",
 }
 
 TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
@@ -1243,6 +1286,14 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.V_DS_NORM:                 "v.deepstack.{bid}.norm",
     MODEL_TENSOR.V_DS_FC1:                  "v.deepstack.{bid}.fc1",
     MODEL_TENSOR.V_DS_FC2:                  "v.deepstack.{bid}.fc2",
+    MODEL_TENSOR.V_MERGER_LN1:              "v.vit_merger.ln1",
+    MODEL_TENSOR.V_MERGER_ATTN_Q:           "v.vit_merger.attn_q",
+    MODEL_TENSOR.V_MERGER_ATTN_K:           "v.vit_merger.attn_k",
+    MODEL_TENSOR.V_MERGER_ATTN_V:           "v.vit_merger.attn_v",
+    MODEL_TENSOR.V_MERGER_ATTN_O:           "v.vit_merger.attn_out",
+    MODEL_TENSOR.V_MERGER_DS_LN:            "v.vit_merger.ds_ln",
+    MODEL_TENSOR.V_MERGER_DS_UP:            "v.vit_merger.ds_ffn_up",
+    MODEL_TENSOR.V_MERGER_DS_DOWN:          "v.vit_merger.ds_ffn_down",
     MODEL_TENSOR.V_MM_POST_FC_NORM:         "mm.post_fc_norm", # cogvlm
     MODEL_TENSOR.V_MM_UP:                   "mm.up",
     MODEL_TENSOR.V_MM_DOWN:                 "mm.down",
@@ -1277,6 +1328,8 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.A_ENC_EMBD_TO_LOGITS:      "a.embd_to_logits",
     MODEL_TENSOR.A_ENC_INP_PROJ:            "a.input_projection",
     MODEL_TENSOR.A_ENC_CONV1D:              "a.conv1d.{bid}",
+    MODEL_TENSOR.A_ENC_CONV2D:              "a.conv2d.{bid}",
+    MODEL_TENSOR.A_ENC_CONV_OUT:            "a.conv_out",
     MODEL_TENSOR.A_ENC_CONV1D_NORM:         "a.conv1d.{bid}.norm",
     MODEL_TENSOR.A_PRE_NORM:                "a.pre_ln",
     MODEL_TENSOR.A_POST_NORM:               "a.post_ln",
@@ -1323,6 +1376,26 @@ class MODEL_TENSOR(IntEnum):
     MODEL_TENSOR.A_ENC_CONV_NORM:           "a.blk.{bid}.conv_norm",
     MODEL_TENSOR.A_ENC_CONV_PW1:            "a.blk.{bid}.conv_pw1",
     MODEL_TENSOR.A_ENC_CONV_PW2:            "a.blk.{bid}.conv_pw2",
+    MODEL_TENSOR.A_CTC_OUT:                 "a.enc_ctc_out",
+    MODEL_TENSOR.A_CTC_OUT_MID:             "a.enc_ctc_out_mid",
+    MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB:    "a.blk.{bid}.attn_rel_pos_emb",
+    # qformer projector
+    MODEL_TENSOR.A_QF_PROJ_QUERY:           "a.proj_query",
+    MODEL_TENSOR.A_QF_PROJ_NORM:            "a.proj_norm",
+    MODEL_TENSOR.A_QF_PROJ_LINEAR:          "a.proj_linear",
+    MODEL_TENSOR.A_QF_SELF_ATTN_Q:          "a.proj_blk.{bid}.self_attn_q",
+    MODEL_TENSOR.A_QF_SELF_ATTN_K:          "a.proj_blk.{bid}.self_attn_k",
+    MODEL_TENSOR.A_QF_SELF_ATTN_V:          "a.proj_blk.{bid}.self_attn_v",
+    MODEL_TENSOR.A_QF_SELF_ATTN_O:          "a.proj_blk.{bid}.self_attn_out",
+    MODEL_TENSOR.A_QF_SELF_ATTN_NORM:       "a.proj_blk.{bid}.self_attn_norm",
+    MODEL_TENSOR.A_QF_CROSS_ATTN_Q:         "a.proj_blk.{bid}.cross_attn_q",
+    MODEL_TENSOR.A_QF_CROSS_ATTN_K:         "a.proj_blk.{bid}.cross_attn_k",
+    MODEL_TENSOR.A_QF_CROSS_ATTN_V:         "a.proj_blk.{bid}.cross_attn_v",
+    MODEL_TENSOR.A_QF_CROSS_ATTN_O:         "a.proj_blk.{bid}.cross_attn_out",
+    MODEL_TENSOR.A_QF_CROSS_ATTN_NORM:      "a.proj_blk.{bid}.cross_attn_norm",
+    MODEL_TENSOR.A_QF_FFN_UP:               "a.proj_blk.{bid}.ffn_up",
+    MODEL_TENSOR.A_QF_FFN_DOWN:             "a.proj_blk.{bid}.ffn_down",
+    MODEL_TENSOR.A_QF_FFN_NORM:             "a.proj_blk.{bid}.ffn_norm",
     # NextN/MTP
     MODEL_TENSOR.NEXTN_EH_PROJ:             "blk.{bid}.nextn.eh_proj",
     MODEL_TENSOR.NEXTN_EMBED_TOKENS:        "blk.{bid}.nextn.embed_tokens",
@@ -1393,6 +1466,14 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.V_DS_NORM,
         MODEL_TENSOR.V_DS_FC1,
         MODEL_TENSOR.V_DS_FC2,
+        MODEL_TENSOR.V_MERGER_LN1,
+        MODEL_TENSOR.V_MERGER_ATTN_Q,
+        MODEL_TENSOR.V_MERGER_ATTN_K,
+        MODEL_TENSOR.V_MERGER_ATTN_V,
+        MODEL_TENSOR.V_MERGER_ATTN_O,
+        MODEL_TENSOR.V_MERGER_DS_LN,
+        MODEL_TENSOR.V_MERGER_DS_UP,
+        MODEL_TENSOR.V_MERGER_DS_DOWN,
         MODEL_TENSOR.V_MM_POST_FC_NORM,
         MODEL_TENSOR.V_MM_UP,
         MODEL_TENSOR.V_MM_DOWN,
@@ -1423,6 +1504,8 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.A_ENC_EMBD_TO_LOGITS,
         MODEL_TENSOR.A_ENC_INP_PROJ,
         MODEL_TENSOR.A_ENC_CONV1D,
+        MODEL_TENSOR.A_ENC_CONV2D,
+        MODEL_TENSOR.A_ENC_CONV_OUT,
         MODEL_TENSOR.A_ENC_CONV1D_NORM,
         MODEL_TENSOR.A_PRE_NORM,
         MODEL_TENSOR.A_POST_NORM,
@@ -1468,6 +1551,26 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.A_MM_HARD_EMB_NORM,
         MODEL_TENSOR.A_PER_DIM_K_SCALE,
         MODEL_TENSOR.A_PER_DIM_SCALE,
+        MODEL_TENSOR.A_CTC_OUT,
+        MODEL_TENSOR.A_CTC_OUT_MID,
+        MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB,
+        # qformer projector
+        MODEL_TENSOR.A_QF_PROJ_QUERY,
+        MODEL_TENSOR.A_QF_PROJ_NORM,
+        MODEL_TENSOR.A_QF_PROJ_LINEAR,
+        MODEL_TENSOR.A_QF_SELF_ATTN_Q,
+        MODEL_TENSOR.A_QF_SELF_ATTN_K,
+        MODEL_TENSOR.A_QF_SELF_ATTN_V,
+        MODEL_TENSOR.A_QF_SELF_ATTN_O,
+        MODEL_TENSOR.A_QF_SELF_ATTN_NORM,
+        MODEL_TENSOR.A_QF_CROSS_ATTN_Q,
+        MODEL_TENSOR.A_QF_CROSS_ATTN_K,
+        MODEL_TENSOR.A_QF_CROSS_ATTN_V,
+        MODEL_TENSOR.A_QF_CROSS_ATTN_O,
+        MODEL_TENSOR.A_QF_CROSS_ATTN_NORM,
+        MODEL_TENSOR.A_QF_FFN_UP,
+        MODEL_TENSOR.A_QF_FFN_DOWN,
+        MODEL_TENSOR.A_QF_FFN_NORM,
     ],
     MODEL_ARCH.LLAMA: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -3480,6 +3583,22 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
     ],
+    MODEL_ARCH.HUNYUAN_VL: [
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.OUTPUT,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_Q_NORM,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_K_NORM,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+    ],
     MODEL_ARCH.SMOLLM3: [
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.OUTPUT_NORM,
@@ -3750,6 +3869,7 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.OUTPUT_NORM,
         MODEL_TENSOR.OUTPUT,
         MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_QKV,
         MODEL_TENSOR.ATTN_Q,
         MODEL_TENSOR.ATTN_K,
         MODEL_TENSOR.ATTN_V,
@@ -3764,6 +3884,10 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_DOWN_EXP,
         MODEL_TENSOR.FFN_UP_EXP,
         MODEL_TENSOR.FFN_EXP_PROBS_B,
+        MODEL_TENSOR.LAYER_OUT_NORM,
+        MODEL_TENSOR.NEXTN_EH_PROJ,
+        MODEL_TENSOR.NEXTN_ENORM,
+        MODEL_TENSOR.NEXTN_HNORM,
     ],
     MODEL_ARCH.STEP35: [
         MODEL_TENSOR.TOKEN_EMBD,
@@ -3996,6 +4120,7 @@ class GGMLQuantizationType(IntEnum):
     TQ2_0   = 35
     MXFP4   = 39
     NVFP4   = 40
+    Q1_0    = 41
 
 
 class ExpertGatingFuncType(IntEnum):
@@ -4049,6 +4174,7 @@ class LlamaFileType(IntEnum):
     MOSTLY_TQ2_0         = 37  # except 1d tensors
     MOSTLY_MXFP4_MOE     = 38  # except 1d tensors
     MOSTLY_NVFP4         = 39  # except 1d tensors
+    MOSTLY_Q1_0          = 40  # except 1d tensors
 
     GUESSED              = 1024  # not specified in the model file
 
@@ -4103,12 +4229,15 @@ class VisionProjectorType:
     QWEN2VL = "qwen2vl_merger"
     QWEN25VL = "qwen2.5vl_merger"
     QWEN3VL = "qwen3vl_merger"
+    STEP3VL = "step3vl"
     ULTRAVOX = "ultravox"
     INTERNVL = "internvl"
     QWEN2A = "qwen2a" # audio
+    QWEN3A = "qwen3a" # audio
     GLMA = "glma" # audio
     QWEN25O = "qwen2.5o" # omni
     VOXTRAL = "voxtral"
+    MERALION = "meralion"  # audio: Whisper + gated MLP adaptor
     LFM2 = "lfm2"
     KIMIVL = "kimivl"
     PADDLEOCR = "paddleocr"
@@ -4116,6 +4245,7 @@ class VisionProjectorType:
     LIGHTONOCR = "lightonocr"
     COGVLM = "cogvlm"
     JANUS_PRO = "janus_pro"
+    DOTSOCR = "dots_ocr"
     DEEPSEEKOCR = "deepseekocr"
     LFM2A = "lfm2a" # audio
     MUSIC_FLAMINGO = "musicflamingo" # audio
@@ -4123,6 +4253,9 @@ class VisionProjectorType:
     YOUTUVL = "youtuvl"
     NEMOTRON_V2_VL = "nemotron_v2_vl"
     HUNYUANOCR     = "hunyuanocr"
+    HUNYUANVL      = "hunyuanvl"
+    MINICPMV4_6    = "minicpmv4_6"
+    GRANITE_SPEECH = "granite_speech"  # audio
 
 
 # Items here are (block size, type size)
@@ -4161,6 +4294,7 @@ class VisionProjectorType:
     GGMLQuantizationType.TQ2_0:   (256, 2 + 64),
     GGMLQuantizationType.MXFP4:   (32, 1 + 16),
     GGMLQuantizationType.NVFP4:   (64, 4 + 32),
+    GGMLQuantizationType.Q1_0:    (128, 2 + 16),
 }
 
 
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index 90d500dc7..35fb01470 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -943,6 +943,9 @@ def add_attention_scale(self, value: float) -> None:
     def add_attn_output_scale(self, value: float) -> None:
         self.add_float32(Keys.Attention.OUTPUT_SCALE.format(arch=self.arch), value)
 
+    def add_attn_value_scale(self, value: float) -> None:
+        self.add_float32(Keys.Attention.VALUE_SCALE.format(arch=self.arch), value)
+
     def add_attn_temperature_length(self, value: int) -> None:
         self.add_uint32(Keys.Attention.TEMPERATURE_LENGTH.format(arch=self.arch), value)
 
@@ -973,6 +976,9 @@ def add_rope_scaling_type(self, value: RopeScalingType) -> None:
     def add_rope_scaling_factor(self, value: float) -> None:
         self.add_float32(Keys.Rope.SCALING_FACTOR.format(arch=self.arch), value)
 
+    def add_rope_scaling_alpha(self, value: float) -> None:
+        self.add_float32(Keys.Rope.SCALING_ALPHA.format(arch=self.arch), value)
+
     def add_rope_scaling_attn_factors(self, value: float) -> None:
         self.add_float32(Keys.Rope.SCALING_ATTN_FACTOR.format(arch=self.arch), value)
 
@@ -1257,6 +1263,24 @@ def add_audio_num_mel_bins(self, value: int) -> None:
     def add_audio_stack_factor(self, value: int) -> None:
         self.add_uint32(Keys.ClipAudio.Projector.STACK_FACTOR, value)
 
+    def add_audio_chunk_size(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.CHUNK_SIZE, value)
+
+    def add_audio_conv_kernel_size(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.CONV_KERNEL_SIZE, value)
+
+    def add_audio_max_pos_emb(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.MAX_POS_EMB, value)
+
+    def add_audio_projector_window_size(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.Projector.WINDOW_SIZE, value)
+
+    def add_audio_projector_downsample_rate(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.Projector.DOWNSAMPLE_RATE, value)
+
+    def add_audio_projector_head_count(self, value: int) -> None:
+        self.add_uint32(Keys.ClipAudio.Projector.HEAD_COUNT, value)
+
     def add_xielu_alpha_p(self, values: Sequence[float]):
         self.add_array(Keys.xIELU.ALPHA_P, values)
 
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 1c324976c..f27f0e4c9 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -18,7 +18,6 @@ class TensorNameMap:
             "tok_embeddings",                            # llama-pth
             "embeddings.word_embeddings",                # bert nomic-bert
             "embeddings.tok_embeddings",                 # modern-bert
-            "language_model.embedding.word_embeddings",  # persimmon
             "wte",                                       # gpt2
             "transformer.embd.wte",                      # phi2
             "model.tok_embeddings",                      # internlm2
@@ -32,7 +31,6 @@ class TensorNameMap:
             "rwkv.embeddings",                           # rwkv6
             "model.embeddings",                          # rwkv7
             "model.word_embeddings",                     # bailingmoe
-            "language_model.model.embed_tokens",         # llama4
             "encoder",                                   # neobert
             "model.transformer.wte",                     # llada
             "embed_tokens",                              # qwen3-embedding
@@ -94,7 +92,6 @@ class TensorNameMap:
             "norm",                                    # llama-pth
             "transformer.norm_f",                      # mpt dbrx
             "ln_f",                                    # refact bloom qwen gpt2
-            "language_model.encoder.final_layernorm",  # persimmon
             "model.final_layernorm",                   # persimmon
             "lm_head.ln",                              # phi2
             "model.norm_f",                            # mamba-qbert
@@ -158,6 +155,21 @@ class TensorNameMap:
         MODEL_TENSOR.V_ENC_MSFA_NORM: (
             "model.vision_tower.timm_model.msfa.norm", # gemma3n
         ),
+        MODEL_TENSOR.A_CTC_OUT: (
+            "encoder.out",
+        ),
+        MODEL_TENSOR.A_CTC_OUT_MID: (
+            "encoder.out_mid",
+        ),
+        MODEL_TENSOR.A_QF_PROJ_QUERY: (
+            "projector.query",
+        ),
+        MODEL_TENSOR.A_QF_PROJ_NORM: (
+            "projector.qformer.layernorm",
+        ),
+        MODEL_TENSOR.A_QF_PROJ_LINEAR: (
+            "projector.linear",
+        ),
     }
 
     block_mappings_cfg: dict[MODEL_TENSOR, tuple[str, ...]] = {
@@ -171,7 +183,6 @@ class TensorNameMap:
             "transformer.h.{bid}.ln_mlp",                           # falcon40b
             "model.layers.{bid}.input_layernorm",                   # llama-hf nemotron olmoe phimoe granite-hybrid
             "layers.{bid}.attention_norm",                          # llama-pth
-            "language_model.encoder.layers.{bid}.input_layernorm",  # persimmon
             "model.layers.{bid}.ln1",                               # yi
             "h.{bid}.ln_1",                                         # gpt2
             "transformer.h.{bid}.ln",                               # phi2
@@ -215,7 +226,6 @@ class TensorNameMap:
             "transformer.blocks.{bid}.norm_attn_norm.attn.Wqkv",                   # dbrx
             "transformer.h.{bid}.self_attention.query_key_value",                  # falcon
             "h.{bid}.self_attention.query_key_value",                              # bloom
-            "language_model.encoder.layers.{bid}.self_attention.query_key_value",  # persimmon
             "model.layers.{bid}.self_attn.query_key_value",                        # persimmon
             "model.layers.{bid}.attention.query_key_value",                        # bailingmoe2
             "h.{bid}.attn.c_attn",                                                 # gpt2
@@ -306,7 +316,6 @@ class TensorNameMap:
             "layers.{bid}.attn.Wo",                                         # modern-bert
             "transformer.layer.{bid}.attention.out_lin",                    # distillbert
             "transformer.h.{bid}.attn.out_proj",                            # gpt-j
-            "language_model.encoder.layers.{bid}.self_attention.dense",     # persimmon
             "model.layers.{bid}.self_attn.dense",                           # persimmon
             "model.layers.{bid}.attention.dense",                           # bailingmoe2
             "h.{bid}.attn.c_proj",                                          # gpt2
@@ -373,7 +382,6 @@ class TensorNameMap:
             "transformer.blocks.{bid}.norm_2",                               # mpt
             "model.layers.{bid}.post_attention_layernorm",                   # llama-hf nemotron olmoe phimoe
             "layers.{bid}.ffn_norm",                                         # llama-pth
-            "language_model.encoder.layers.{bid}.post_attention_layernorm",  # persimmon
             "model.layers.{bid}.ln2",                                        # yi
             "h.{bid}.ln_2",                                                  # gpt2
             "model.layers.{bid}.ffn_norm",                                   # internlm2
@@ -475,7 +483,6 @@ class TensorNameMap:
             "transformer.layer.{bid}.ffn.lin1",                       # distillbert
             "transformer.h.{bid}.mlp.fc_in",                          # gpt-j
             "transformer.h.{bid}.mlp.linear_3",                       # refact
-            "language_model.encoder.layers.{bid}.mlp.dense_h_to_4h",  # persimmon
             "model.layers.{bid}.mlp.dense_h_to_4h",                   # persimmon
             "transformer.h.{bid}.mlp.w1",                             # qwen
             "h.{bid}.mlp.c_fc",                                       # gpt2
@@ -608,7 +615,6 @@ class TensorNameMap:
             "layers.{bid}.mlp.Wo",                                    # modern-bert
             "transformer.layer.{bid}.ffn.lin2",                       # distillbert
             "transformer.h.{bid}.mlp.fc_out",                         # gpt-j
-            "language_model.encoder.layers.{bid}.mlp.dense_4h_to_h",  # persimmon
             "model.layers.{bid}.mlp.dense_4h_to_h",                   # persimmon
             "h.{bid}.mlp.c_proj",                                     # gpt2
             "transformer.h.{bid}.mlp.fc2",                            # phi2
@@ -663,7 +669,7 @@ class TensorNameMap:
         ),
 
         MODEL_TENSOR.ATTN_Q_NORM: (
-            "language_model.encoder.layers.{bid}.self_attention.q_layernorm",
+            "encoder.layers.{bid}.self_attention.q_layernorm",
             "model.layers.{bid}.self_attn.q_layernorm",                       # persimmon
             "model.layers.{bid}.self_attn.query_layernorm",                   # hunyuan
             "model.layers.{bid}.attention.query_layernorm",                   # bailingmoe2
@@ -679,7 +685,7 @@ class TensorNameMap:
         ),
 
         MODEL_TENSOR.ATTN_K_NORM: (
-            "language_model.encoder.layers.{bid}.self_attention.k_layernorm",
+            "encoder.layers.{bid}.self_attention.k_layernorm",
             "model.layers.{bid}.self_attn.k_layernorm",                       # persimmon
             "model.layers.{bid}.self_attn.key_layernorm",                     # hunyuan
             "model.layers.{bid}.attention.key_layernorm",                     # bailingmoe2
@@ -695,7 +701,7 @@ class TensorNameMap:
         ),
 
         MODEL_TENSOR.ROPE_FREQS: (
-            "language_model.encoder.layers.{bid}.self_attention.rotary_emb.inv_freq",  # persimmon
+            "encoder.layers.{bid}.self_attention.rotary_emb.inv_freq",  # persimmon
         ),
 
         MODEL_TENSOR.LAYER_OUT_NORM: (
@@ -1359,6 +1365,7 @@ class TensorNameMap:
             "visual.merger.mlp.{bid}", # qwen2vl
             "mlp_AR.linear_{bid}", # PaddleOCR-VL
             "merger.mlp.{bid}",
+            "vision_tower.merger.mlp.{bid}", # dots.ocr
             "vit.perceive.proj.{bid}", # HunyuanOCR (proj.0 = conv1, proj.2 = conv2)
         ),
 
@@ -1392,6 +1399,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_EMBD_PATCH: (
             "vision_tower.vision_model.embeddings.patch_embedding",
+            "model.vision_tower.embeddings.patch_embedding", # minicpmv4_6
             "model.vision_tower.embeddings.patch_embeddings.projection", # Intern-S1
             "vpm.embeddings.patch_embedding",
             "model.vision_model.embeddings.patch_embedding", # SmolVLM
@@ -1406,14 +1414,18 @@ class TensorNameMap:
             "siglip2.vision_model.embeddings.patch_embedding",
             "vision_model.radio_model.model.patch_generator.embedder", # Nemotron Nano v2 VL
             "model.vision_tower.patch_embedder.input_proj", # gemma4
+            "vision_tower.patch_embed.patchifier.proj", # dots.ocr
+            "vision_model.conv1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_NORM: (
             "visual.post_conv_layernorm", # glm4v
+            "vision_tower.patch_embed.patchifier.norm", # dots.ocr
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_POS: (
             "vision_tower.vision_model.embeddings.position_embedding",
+            "model.vision_tower.embeddings.position_embedding", # minicpmv4_6
             "model.vision_tower.embeddings.position_embeddings", # Intern-S1
             "vpm.embeddings.position_embedding",
             "model.vision_model.embeddings.position_embedding", # SmolVLM
@@ -1425,6 +1437,7 @@ class TensorNameMap:
             "visual.embeddings.position_embedding", # glm4v
             "vision_model.radio_model.model.patch_generator.pos_embed", # Nemotron Nano v2 VL
             "model.vision_tower.patch_embedder.position_embedding_table", # gemma4
+            "vision_model.positional_embedding", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_IMGNL: (
@@ -1439,14 +1452,17 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_ATTN_QKV: (
             "visual.blocks.{bid}.attn.qkv", # qwen3vl
+            "vision_tower.blocks.{bid}.attn.qkv", # dots.ocr
             "model.vision.transformer.layers.{bid}.attention.query_key_value", # cogvlm
             "model.vision_model.transformer.layers.{bid}.self_attn.qkv_proj", # Deepseek-OCR CLIP
-            "vision_tower.encoder.blocks.{bid}.wqkv" # Kimi-K2.5
+            "vision_tower.encoder.blocks.{bid}.wqkv", # Kimi-K2.5
             "vision_model.radio_model.model.blocks.{bid}.attn.qkv", # Nemotron Nano v2 VL
+            "vision_model.transformer.resblocks.{bid}.attn.in_proj", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_Q: (
             "vision_tower.vision_model.encoder.layers.{bid}.self_attn.q_proj",
+            "model.vision_tower.encoder.layers.{bid}.self_attn.q_proj", # minicpmv4_6
             "model.vision_tower.encoder.layer.{bid}.attention.q_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.q_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.q_proj", # SmolVLM
@@ -1470,6 +1486,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_ATTN_K: (
             "vision_tower.vision_model.encoder.layers.{bid}.self_attn.k_proj",
+            "model.vision_tower.encoder.layers.{bid}.self_attn.k_proj", # minicpmv4_6
             "model.vision_tower.encoder.layer.{bid}.attention.k_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.k_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.k_proj", # SmolVLM
@@ -1493,6 +1510,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_ATTN_V: (
             "vision_tower.vision_model.encoder.layers.{bid}.self_attn.v_proj",
+            "model.vision_tower.encoder.layers.{bid}.self_attn.v_proj", # minicpmv4_6
             "model.vision_tower.encoder.layer.{bid}.attention.v_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.v_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.v_proj", # SmolVLM
@@ -1509,6 +1527,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_INPUT_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.layer_norm1",
+            "model.vision_tower.encoder.layers.{bid}.layer_norm1", # minicpmv4_6
             "vision_tower.vision_model.encoder.layers.{bid}.norm1", # InternVL
             "model.vision_tower.encoder.layer.{bid}.layernorm_before", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm1",
@@ -1523,10 +1542,13 @@ class TensorNameMap:
             "model.vision_model.transformer.layers.{bid}.layer_norm1", # Deepseek-OCR CLIP
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm1",
             "vision_model.radio_model.model.blocks.{bid}.norm1", # Nemotron Nano v2 VL
+            "vision_tower.blocks.{bid}.norm1", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.ln_1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_O: (
             "vision_tower.vision_model.encoder.layers.{bid}.self_attn.out_proj",
+            "model.vision_tower.encoder.layers.{bid}.self_attn.out_proj", # minicpmv4_6
             "vision_tower.vision_model.encoder.layers.{bid}.attn.proj", # InternVL
             "model.vision_tower.encoder.layer.{bid}.attention.projection_layer", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.out_proj",
@@ -1543,10 +1565,13 @@ class TensorNameMap:
             "siglip2.vision_model.encoder.layers.{bid}.self_attn.out_proj", # youtuvl
             "vision_model.radio_model.model.blocks.{bid}.attn.proj", # Nemotron Nano v2 VL
             "vision_model.model.layers.{bid}.self_attn.o_proj.linear", # gemma4
+            "vision_tower.blocks.{bid}.attn.proj", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.attn.out_proj", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_POST_ATTN_NORM: (
             "vision_tower.vision_model.encoder.layers.{bid}.layer_norm2",
+            "model.vision_tower.encoder.layers.{bid}.layer_norm2", # minicpmv4_6
             "vision_tower.vision_model.encoder.layers.{bid}.norm2", # InternVL
             "model.vision_tower.encoder.layer.{bid}.layernorm_after", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm2",
@@ -1562,10 +1587,13 @@ class TensorNameMap:
             "siglip2.vision_model.encoder.layers.{bid}.layer_norm2",
             "vision_model.radio_model.model.blocks.{bid}.norm2", # Nemotron Nano v2 VL
             "vision_model.model.layers.{bid}.pre_feedforward_layernorm", # gemma4
+            "vision_tower.blocks.{bid}.norm2", # dots.ocr
+            "vision_model.transformer.resblocks.{bid}.ln_2", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_UP: (
             "vision_tower.vision_model.encoder.layers.{bid}.mlp.fc1",
+            "model.vision_tower.encoder.layers.{bid}.mlp.fc1", # minicpmv4_6
             "model.vision_tower.encoder.layer.{bid}.mlp.fc1", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc1",
             "model.vision_model.encoder.layers.{bid}.mlp.fc1", # SmolVLM, gemma3
@@ -1582,6 +1610,7 @@ class TensorNameMap:
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc1",
             "vision_model.radio_model.model.blocks.{bid}.mlp.fc1", # Nemotron Nano v2 VL
             "vision_model.model.layers.{bid}.mlp.up_proj", # gemma4
+            "vision_model.transformer.resblocks.{bid}.mlp.c_fc", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_FFN_GATE: (
@@ -1593,6 +1622,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_FFN_DOWN: (
             "vision_tower.vision_model.encoder.layers.{bid}.mlp.fc2",
+            "model.vision_tower.encoder.layers.{bid}.mlp.fc2", # minicpmv4_6
             "model.vision_tower.encoder.layer.{bid}.mlp.fc2", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc2",
             "model.vision_model.encoder.layers.{bid}.mlp.fc2", # SmolVLM, gemma3
@@ -1609,6 +1639,7 @@ class TensorNameMap:
             "siglip2.vision_model.encoder.layers.{bid}.mlp.fc2",
             "vision_model.radio_model.model.blocks.{bid}.mlp.fc2", # Nemotron Nano v2 VL
             "vision_model.model.layers.{bid}.mlp.down_proj", # gemma4
+            "vision_model.transformer.resblocks.{bid}.mlp.c_proj", # Step3-VL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_POST_NORM: (
@@ -1622,11 +1653,13 @@ class TensorNameMap:
         MODEL_TENSOR.V_LAYER_SCALE_1: (
             "vision_tower.vision_model.encoder.layers.{bid}.ls1", # InternVL
             "model.vision_tower.encoder.layer.{bid}.lambda_1", # Intern-S1
+            "vision_model.transformer.resblocks.{bid}.ls_1", # Step3-VL
         ),
 
         MODEL_TENSOR.V_LAYER_SCALE_2: (
             "vision_tower.vision_model.encoder.layers.{bid}.ls2", # InternVL
             "model.vision_tower.encoder.layer.{bid}.lambda_2", # Intern-S1
+            "vision_model.transformer.resblocks.{bid}.ls_2", # Step3-VL
         ),
 
         MODEL_TENSOR.V_LAYER_OUT_SCALE: (
@@ -1639,10 +1672,13 @@ class TensorNameMap:
             "vision_encoder.ln_pre", # pixtral
             "vision_model.layernorm_pre", # llama4
             "model.vision_model.pre_layrnorm", # Deepseek-OCR CLIP
+            "vision_tower.patch_embed.patchifier.norm", # dots.ocr
+            "vision_model.ln_pre", # Step3-VL
         ),
 
         MODEL_TENSOR.V_POST_NORM: (
             "vision_tower.vision_model.post_layernorm",
+            "model.vision_tower.post_layernorm", # minicpmv4_6
             "model.vision_model.post_layernorm", # SmolVLM
             "vision_model.layernorm_post", # llama4
             "visual.merger.ln_q", # qwen2vl
@@ -1653,6 +1689,7 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_MM_POST_NORM: (
             "visual.merger.post_projection_norm", # glm4v
+            "vision_tower.post_trunk_norm", # dots.ocr
             "vit.perceive.after_rms", # HunyuanOCR
         ),
 
@@ -1669,6 +1706,8 @@ class TensorNameMap:
             "model.vision.linear_proj.norm1", # cogvlm
             "mlp_AR.pre_norm", # PaddleOCR-VL
             "merger.ln_q",
+            "vision_tower.merger.ln_q", # dots.ocr
+            "model.merger.mlp.0.pre_norm", # minicpmv4_6
         ),
 
         MODEL_TENSOR.V_MM_SOFT_EMB_NORM: (
@@ -1742,6 +1781,38 @@ class TensorNameMap:
             "model.visual.deepstack_merger_list.{bid}.linear_fc2", # deepstack in qwen3vl
         ),
 
+        MODEL_TENSOR.V_MERGER_LN1: (
+            "model.vision_tower.vit_merger.layer_norm1", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_ATTN_Q: (
+            "model.vision_tower.vit_merger.self_attn.q_proj", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_ATTN_K: (
+            "model.vision_tower.vit_merger.self_attn.k_proj", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_ATTN_V: (
+            "model.vision_tower.vit_merger.self_attn.v_proj", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_ATTN_O: (
+            "model.vision_tower.vit_merger.self_attn.out_proj", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_DS_LN: (
+            "model.vision_tower.vit_merger.pre_norm", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_DS_UP: (
+            "model.vision_tower.vit_merger.linear_1", # minicpmv4_6
+        ),
+
+        MODEL_TENSOR.V_MERGER_DS_DOWN: (
+            "model.vision_tower.vit_merger.linear_2", # minicpmv4_6
+        ),
+
         MODEL_TENSOR.V_SAM_POS_EMBD: (
             "model.sam_model.pos_embed",
         ),
@@ -1801,11 +1872,13 @@ class TensorNameMap:
         MODEL_TENSOR.V_MM_UP: (
             "model.vision.linear_proj.dense_h_to_4h", # cogvlm
             "visual.merger.up_proj", # glm4v
+            "model.merger.mlp.0.linear_1", # minicpmv4_6
         ),
 
         MODEL_TENSOR.V_MM_DOWN: (
             "model.vision.linear_proj.dense_4h_to_h", # cogvlm
             "visual.merger.down_proj", # glm4v
+            "model.merger.mlp.0.linear_2", # minicpmv4_6
         ),
 
         MODEL_TENSOR.V_MM_GATE: (
@@ -1869,6 +1942,15 @@ class TensorNameMap:
 
         MODEL_TENSOR.A_ENC_INP_PROJ: (
             "conformer.subsample_conv_projection.input_proj_linear", # gemma4
+            "encoder.input_linear",
+        ),
+
+        MODEL_TENSOR.A_ENC_CONV2D: (
+            "audio_tower.conv2d{bid}", # qwen3omni
+        ),
+
+        MODEL_TENSOR.A_ENC_CONV_OUT: (
+            "audio_tower.conv_out", # qwen3omni
         ),
 
         MODEL_TENSOR.A_PRE_NORM: (),
@@ -1883,6 +1965,7 @@ class TensorNameMap:
             "conformer.layers.{bid}.self_attn.linear_q", # lfm2
             "conformer.layers.{bid}.attention.attn.q_proj", # gemma3n
             "conformer.layers.{bid}.self_attn.q_proj", # gemma4
+            "encoder.layers.{bid}.attn.to_q", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_ATTN_K: (
@@ -1890,6 +1973,7 @@ class TensorNameMap:
             "conformer.layers.{bid}.self_attn.linear_k", # lfm2
             "conformer.layers.{bid}.attention.attn.k_proj", # gemma3n
             "conformer.layers.{bid}.self_attn.k_proj", # gemma4
+            "encoder.layers.{bid}.attn.to_k", # granite_speech (split from to_kv)
         ),
 
         MODEL_TENSOR.A_ENC_ATTN_V: (
@@ -1897,6 +1981,7 @@ class TensorNameMap:
             "conformer.layers.{bid}.self_attn.linear_v", # lfm2
             "conformer.layers.{bid}.attention.attn.v_proj", # gemma3n
             "conformer.layers.{bid}.self_attn.v_proj", # gemma4
+            "encoder.layers.{bid}.attn.to_v", # granite_speech (split from to_kv)
         ),
 
         MODEL_TENSOR.A_ENC_ATTN_K_REL: (
@@ -1924,6 +2009,7 @@ class TensorNameMap:
             "audio_tower.layers.{bid}.self_attn_layer_norm", # ultravox
             "conformer.layers.{bid}.norm_self_att", # lfm2
             "conformer.layers.{bid}.attention.pre_attn_norm", # gemma3n
+            "encoder.layers.{bid}.attn.pre_norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_OUTPUT: (
@@ -1931,18 +2017,21 @@ class TensorNameMap:
             "conformer.layers.{bid}.self_attn.linear_out", # lfm2
             "conformer.layers.{bid}.attention.post", # gemma3n
             "conformer.layers.{bid}.self_attn.post", # gemma4
+            "encoder.layers.{bid}.attn.to_out", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_OUTPUT_NORM: (
             "audio_tower.layers.{bid}.final_layer_norm", # ultravox
             "conformer.layers.{bid}.norm_out", # lfm2
             "conformer.layers.{bid}.attention.post_norm", # gemma3n
+            "encoder.layers.{bid}.post_norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_NORM: (
             "conformer.layers.{bid}.norm_feed_forward1", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.pre_layer_norm", # gemma3n
             "conformer.layers.{bid}.feed_forward1.pre_layer_norm", # gemma4
+            "encoder.layers.{bid}.ff1.pre_norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_POST_NORM: (
@@ -1959,6 +2048,7 @@ class TensorNameMap:
             "conformer.layers.{bid}.feed_forward1.linear1", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.ffw_layer_1", # gemma3n
             "conformer.layers.{bid}.feed_forward1.ffw_layer_1", # gemma4
+            "encoder.layers.{bid}.ff1.up_proj", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_GATE: (),
@@ -1968,24 +2058,28 @@ class TensorNameMap:
             "conformer.layers.{bid}.feed_forward1.linear2", # lfm2
             "conformer.layers.{bid}.ffw_layer_start.ffw_layer_2", # gemma3n
             "conformer.layers.{bid}.feed_forward1.ffw_layer_2", # gemma4
+            "encoder.layers.{bid}.ff1.down_proj", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_UP_1: (
             "conformer.layers.{bid}.feed_forward2.linear1", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.ffw_layer_1", # gemma3n
             "conformer.layers.{bid}.feed_forward2.ffw_layer_1", # gemma4
+            "encoder.layers.{bid}.ff2.up_proj", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_DOWN_1: (
             "conformer.layers.{bid}.feed_forward2.linear2", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.ffw_layer_2", # gemma3n
             "conformer.layers.{bid}.feed_forward2.ffw_layer_2", # gemma4
+            "encoder.layers.{bid}.ff2.down_proj", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_NORM_1: (
             "conformer.layers.{bid}.norm_feed_forward2", # lfm2
             "conformer.layers.{bid}.ffw_layer_end.pre_layer_norm", # gemma3n
             "conformer.layers.{bid}.feed_forward2.pre_layer_norm", # gemma4
+            "encoder.layers.{bid}.ff2.pre_norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_FFN_POST_NORM_1: (
@@ -2020,8 +2114,9 @@ class TensorNameMap:
         # this prefix is added in the conversion code in modify_tensors()
 
         MODEL_TENSOR.A_MMPROJ: (
-            "audio.multi_modal_projector.linear_{bid}", # ultravox
-            "audio_adapter.model.{bid}" # lfm2
+            "audio.multi_modal_projector.linear_{bid}", # ultravox, meralion
+            "audio_adapter.model.{bid}", # lfm2
+            "audio_tower.proj{bid}", # qwen3omni
         ),
 
         MODEL_TENSOR.A_MMPROJ_FC: (
@@ -2041,26 +2136,31 @@ class TensorNameMap:
         MODEL_TENSOR.A_ENC_CONV_DW: (
             "conformer.layers.{bid}.conv.depthwise_conv", # lfm2
             "conformer.layers.{bid}.lconv1d.depthwise_conv1d", # gemma3n
+            "encoder.layers.{bid}.conv.depth_conv.conv", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_CONV_NORM: (
             "conformer.layers.{bid}.conv.batch_norm", # lfm2
             "conformer.layers.{bid}.lconv1d.pre_layer_norm", # gemma3n
+            "encoder.layers.{bid}.conv.batch_norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_CONV_PW1: (
             "conformer.layers.{bid}.conv.pointwise_conv1", # lfm2
             "conformer.layers.{bid}.lconv1d.linear_start", # gemma3n
+            "encoder.layers.{bid}.conv.up_conv", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_CONV_PW2: (
             "conformer.layers.{bid}.conv.pointwise_conv2", # lfm2
             "conformer.layers.{bid}.lconv1d.linear_end", # gemma3n
+            "encoder.layers.{bid}.conv.down_conv", # granite_speech
         ),
 
         MODEL_TENSOR.A_ENC_NORM_CONV: (
             "conformer.layers.{bid}.norm_conv", # lfm2
             "conformer.layers.{bid}.lconv1d.conv_norm", # gemma3n
+            "encoder.layers.{bid}.conv.norm", # granite_speech
         ),
 
         MODEL_TENSOR.A_PER_DIM_K_SCALE: (
@@ -2084,6 +2184,62 @@ class TensorNameMap:
             "model.embed_audio.soft_embedding_norm", # gemma3n
         ),
 
+        MODEL_TENSOR.A_ENC_ATTN_REL_POS_EMB: (
+            "encoder.layers.{bid}.attn.rel_pos_emb.weight",
+        ),
+
+        MODEL_TENSOR.A_QF_SELF_ATTN_Q: (
+            "projector.qformer.encoder.layer.{bid}.attention.attention.query",
+        ),
+
+        MODEL_TENSOR.A_QF_SELF_ATTN_K: (
+            "projector.qformer.encoder.layer.{bid}.attention.attention.key",
+        ),
+
+        MODEL_TENSOR.A_QF_SELF_ATTN_V: (
+            "projector.qformer.encoder.layer.{bid}.attention.attention.value",
+        ),
+
+        MODEL_TENSOR.A_QF_SELF_ATTN_O: (
+            "projector.qformer.encoder.layer.{bid}.attention.output.dense",
+        ),
+
+        MODEL_TENSOR.A_QF_SELF_ATTN_NORM: (
+            "projector.qformer.encoder.layer.{bid}.attention.output.LayerNorm",
+        ),
+
+        MODEL_TENSOR.A_QF_CROSS_ATTN_Q: (
+            "projector.qformer.encoder.layer.{bid}.crossattention.attention.query",
+        ),
+
+        MODEL_TENSOR.A_QF_CROSS_ATTN_K: (
+            "projector.qformer.encoder.layer.{bid}.crossattention.attention.key",
+        ),
+
+        MODEL_TENSOR.A_QF_CROSS_ATTN_V: (
+            "projector.qformer.encoder.layer.{bid}.crossattention.attention.value",
+        ),
+
+        MODEL_TENSOR.A_QF_CROSS_ATTN_O: (
+            "projector.qformer.encoder.layer.{bid}.crossattention.output.dense",
+        ),
+
+        MODEL_TENSOR.A_QF_CROSS_ATTN_NORM: (
+            "projector.qformer.encoder.layer.{bid}.crossattention.output.LayerNorm",
+        ),
+
+        MODEL_TENSOR.A_QF_FFN_UP: (
+            "projector.qformer.encoder.layer.{bid}.intermediate_query.dense",
+        ),
+
+        MODEL_TENSOR.A_QF_FFN_DOWN: (
+            "projector.qformer.encoder.layer.{bid}.output_query.dense",
+        ),
+
+        MODEL_TENSOR.A_QF_FFN_NORM: (
+            "projector.qformer.encoder.layer.{bid}.output_query.LayerNorm",
+        ),
+
         # NextN/MTP tensors
         MODEL_TENSOR.NEXTN_EH_PROJ: (
             "model.layers.{bid}.eh_proj",
diff --git a/gguf-py/gguf/vocab.py b/gguf-py/gguf/vocab.py
index 5cd729dfa..09a9b7d18 100644
--- a/gguf-py/gguf/vocab.py
+++ b/gguf-py/gguf/vocab.py
@@ -543,7 +543,7 @@ def __init__(self, base_path: Path):
             cache_dir=base_path,
             local_files_only=True,
         )
-        assert self.tokenizer.is_fast  # assume tokenizer.json is used
+        assert self.tokenizer.is_fast  # assume tokenizer.json is used  # ty: ignore[unresolved-attribute]
 
         # Initialize lists and dictionaries for added tokens
         self.added_tokens_list = []
@@ -552,30 +552,30 @@ def __init__(self, base_path: Path):
 
         # Process added tokens
         for tok, tokidx in sorted(
-            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]
+            self.tokenizer.get_added_vocab().items(), key=lambda x: x[1]  # ty: ignore[unresolved-attribute]
         ):
             # Only consider added tokens that are not in the base vocabulary
-            if tokidx >= self.tokenizer.vocab_size:
+            if tokidx >= self.tokenizer.vocab_size:  # ty: ignore[unresolved-attribute]
                 self.added_tokens_list.append(tok)
                 self.added_tokens_dict[tok] = tokidx
                 self.added_tokens_ids.add(tokidx)
 
         # Store special tokens and their IDs
         self.specials = {
-            tok: self.tokenizer.get_vocab()[tok]
-            for tok in self.tokenizer.all_special_tokens
+            tok: self.tokenizer.get_vocab()[tok]  # ty: ignore[unresolved-attribute]
+            for tok in self.tokenizer.all_special_tokens  # ty: ignore[unresolved-attribute]
         }
-        self.special_ids = set(self.tokenizer.all_special_ids)
+        self.special_ids = set(self.tokenizer.all_special_ids)  # ty: ignore[unresolved-attribute]
 
         # Set vocabulary sizes
-        self.vocab_size_base = self.tokenizer.vocab_size
+        self.vocab_size_base = self.tokenizer.vocab_size  # ty: ignore[unresolved-attribute]
         self.vocab_size      = self.vocab_size_base + len(self.added_tokens_list)
 
         self.fname_tokenizer = fname_tokenizer
 
     def hf_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
         reverse_vocab = {
-            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()
+            id: encoded_tok for encoded_tok, id in self.tokenizer.get_vocab().items()  # ty: ignore[unresolved-attribute]
         }
 
         for token_id in range(self.vocab_size_base):
@@ -616,7 +616,7 @@ def added_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
             yield text.encode("utf-8"), score, toktype
 
     def has_newline_token(self):
-        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab
+        return "<0x0A>" in self.tokenizer.vocab or "\n" in self.tokenizer.vocab  # ty: ignore[unresolved-attribute]
 
     def all_tokens(self) -> Iterable[tuple[bytes, float, gguf.TokenType]]:
         yield from self.hf_tokens()
diff --git a/gguf-py/pyproject.toml b/gguf-py/pyproject.toml
index 5fb2755f1..b2a36460a 100644
--- a/gguf-py/pyproject.toml
+++ b/gguf-py/pyproject.toml
@@ -1,44 +1,45 @@
-[tool.poetry]
+[project]
 name = "gguf"
-version = "0.18.0"
+version = "0.19.0"
 description = "Read and write ML models in GGUF for GGML"
-authors = ["GGML <ggml@ggml.ai>"]
-packages = [
-    {include = "gguf"},
-    {include = "gguf/py.typed"},
-]
-readme = "README.md"
-homepage = "https://ggml.ai"
-repository = "https://github.com/ggml-org/llama.cpp"
 keywords = ["ggml", "gguf", "llama.cpp"]
+dynamic = ["classifiers"]
+readme = "README.md"
+authors = [{name = "GGML", email = "ggml@ggml.ai"}]
+requires-python = '>=3.10'
+dependencies = ['numpy (>=1.17)', 'tqdm (>=4.27)', 'pyyaml (>=5.1)', 'requests (>=2.25)']
 classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: MIT License",
     "Operating System :: OS Independent",
 ]
 
+[project.urls]
+homepage = "https://ggml.ai"
+repository = "https://github.com/ggml-org/llama.cpp"
+
+[project.scripts]
+gguf-convert-endian = "gguf.scripts.gguf_convert_endian:main"
+gguf-dump = "gguf.scripts.gguf_dump:main"
+gguf-set-metadata = "gguf.scripts.gguf_set_metadata:main"
+gguf-new-metadata = "gguf.scripts.gguf_new_metadata:main"
+gguf-editor-gui = "gguf.scripts.gguf_editor_gui:main"
+
+[project.optional-dependencies]
+gui = ['PySide6 (>=6.9,<7.0) ; python_version >= "3.9" and python_version < "3.14"']
+
+[tool.poetry]
+packages = [
+    {include = "gguf"},
+    {include = "gguf/py.typed"},
+]
+
 [tool.poetry.dependencies]
-python = ">=3.8"
-numpy = ">=1.17"
-tqdm = ">=4.27"
-pyyaml = ">=5.1"
-requests = ">=2.25"
-sentencepiece = { version = ">=0.1.98,<0.3.0", optional = true }
-PySide6 = { version = "^6.9", python = ">=3.9,<3.14", optional = true }
+python = ">=3.10"
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"
 
-[tool.poetry.extras]
-gui = ["PySide6"]
-
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
-
-[tool.poetry.scripts]
-gguf-convert-endian = "gguf.scripts.gguf_convert_endian:main"
-gguf-dump = "gguf.scripts.gguf_dump:main"
-gguf-set-metadata = "gguf.scripts.gguf_set_metadata:main"
-gguf-new-metadata = "gguf.scripts.gguf_new_metadata:main"
-gguf-editor-gui = "gguf.scripts.gguf_editor_gui:main"
diff --git a/include/llama.h b/include/llama.h
index 7c55d8df9..43785d771 100644
--- a/include/llama.h
+++ b/include/llama.h
@@ -154,6 +154,7 @@ extern "C" {
         LLAMA_FTYPE_MOSTLY_TQ2_0         = 37, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_MXFP4_MOE     = 38, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_NVFP4         = 39, // except 1d tensors
+        LLAMA_FTYPE_MOSTLY_Q1_0          = 40, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_TQ3_1S        = 43, // except 1d tensors
         LLAMA_FTYPE_MOSTLY_TQ4_1S        = 44, // except 1d tensors
 
@@ -193,9 +194,10 @@ extern "C" {
     LLAMA_API const char * llama_flash_attn_type_name(enum llama_flash_attn_type flash_attn_type);
 
     enum llama_split_mode {
-        LLAMA_SPLIT_MODE_NONE  = 0, // single GPU
-        LLAMA_SPLIT_MODE_LAYER = 1, // split layers and KV across GPUs
-        LLAMA_SPLIT_MODE_ROW   = 2, // split layers and KV across GPUs, use tensor parallelism if supported
+        LLAMA_SPLIT_MODE_NONE   = 0, // single GPU
+        LLAMA_SPLIT_MODE_LAYER  = 1, // split layers and KV across GPUs
+        LLAMA_SPLIT_MODE_ROW    = 2, // split layers and KV across GPUs, use tensor parallelism if supported
+        LLAMA_SPLIT_MODE_TENSOR = 3,
     };
 
     // TODO: simplify (https://github.com/ggml-org/llama.cpp/pull/9294#pullrequestreview-2286561979)
@@ -512,27 +514,6 @@ extern "C" {
     // Frees all allocated memory
     LLAMA_API void llama_free(struct llama_context * ctx);
 
-    enum llama_params_fit_status {
-        LLAMA_PARAMS_FIT_STATUS_SUCCESS = 0, // found allocations that are projected to fit
-        LLAMA_PARAMS_FIT_STATUS_FAILURE = 1, // could not find allocations that are projected to fit
-        LLAMA_PARAMS_FIT_STATUS_ERROR   = 2, // a hard error occurred, e.g. because no model could be found at the specified path
-    };
-
-    // fits mparams and cparams to free device memory (assumes system memory is unlimited)
-    //   - returns true if the parameters could be successfully modified to fit device memory
-    //   - this function is NOT thread safe because it modifies the global llama logger state
-    //   - only parameters that have the same value as in llama_default_model_params are modified
-    //     with the exception of the context size which is modified if and only if equal to 0
-    LLAMA_API enum llama_params_fit_status llama_params_fit(
-                                   const char   * path_model,
-                    struct llama_model_params   * mparams,
-                    struct llama_context_params * cparams,
-                                          float * tensor_split,          // writable buffer for tensor split, needs at least llama_max_devices elements
-        struct llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
-                                         size_t * margins,               // margins of memory to leave per device in bytes
-                                       uint32_t   n_ctx_min,             // minimum context size to set when trying to reduce memory use
-                            enum ggml_log_level   log_level);            // minimum log level to print during fitting, lower levels go to debug log
-
     LLAMA_API int64_t llama_time_us(void);
 
     LLAMA_API size_t llama_max_devices(void);
@@ -886,6 +867,9 @@ extern "C" {
 // work only with partial states, such as SWA KV cache or recurrent cache (e.g. Mamba)
 #define LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY 1
 
+// keeps the tensor data on device buffers (i.e. not accessible in host memory, but faster save/load)
+#define LLAMA_STATE_SEQ_FLAGS_ON_DEVICE 2
+
     typedef uint32_t llama_state_seq_flags;
 
     LLAMA_API size_t llama_state_seq_get_size_ext(
@@ -1547,9 +1531,6 @@ extern "C" {
     LLAMA_API void                           llama_perf_sampler_print(const struct llama_sampler * chain);
     LLAMA_API void                           llama_perf_sampler_reset(      struct llama_sampler * chain);
 
-    // print a breakdown of per-device memory use via LLAMA_LOG:
-    LLAMA_API void llama_memory_breakdown_print(const struct llama_context * ctx);
-
     //
     // training
     //
diff --git a/models/ggml-vocab-gemma-4.gguf b/models/ggml-vocab-gemma-4.gguf
new file mode 100644
index 000000000..03c495411
Binary files /dev/null and b/models/ggml-vocab-gemma-4.gguf differ
diff --git a/models/ggml-vocab-gemma-4.gguf.inp b/models/ggml-vocab-gemma-4.gguf.inp
new file mode 100644
index 000000000..856b29021
--- /dev/null
+++ b/models/ggml-vocab-gemma-4.gguf.inp
@@ -0,0 +1,111 @@
+ied 4 ½ months
+__ggml_vocab_test__
+Äpfel
+__ggml_vocab_test__
+
+__ggml_vocab_test__
+ 
+__ggml_vocab_test__
+  
+__ggml_vocab_test__
+   
+__ggml_vocab_test__
+	
+__ggml_vocab_test__
+
+
+__ggml_vocab_test__
+
+
+
+__ggml_vocab_test__
+
+
+
+
+__ggml_vocab_test__
+	
+
+__ggml_vocab_test__
+Hello world
+__ggml_vocab_test__
+ Hello world
+__ggml_vocab_test__
+Hello World
+__ggml_vocab_test__
+ Hello World
+__ggml_vocab_test__
+ Hello World!
+__ggml_vocab_test__
+Hello, world!
+__ggml_vocab_test__
+ Hello, world!
+__ggml_vocab_test__
+ this is 🦙.cpp
+__ggml_vocab_test__
+w048 7tuijk dsdfhu
+__ggml_vocab_test__
+нещо на Български
+__ggml_vocab_test__
+កាន់តែពិសេសអាចខលចេញ
+__ggml_vocab_test__
+🚀 (normal) 😶‍🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)
+__ggml_vocab_test__
+Hello
+__ggml_vocab_test__
+ Hello
+__ggml_vocab_test__
+  Hello
+__ggml_vocab_test__
+   Hello
+__ggml_vocab_test__
+    Hello
+__ggml_vocab_test__
+    Hello
+    Hello
+__ggml_vocab_test__
+ (
+__ggml_vocab_test__
+
+ =
+__ggml_vocab_test__
+' era
+__ggml_vocab_test__
+Hello, y'all! How are you 😁 ?我想在apple工作1314151天～
+__ggml_vocab_test__
+!!!!!!
+__ggml_vocab_test__
+3
+__ggml_vocab_test__
+33
+__ggml_vocab_test__
+333
+__ggml_vocab_test__
+3333
+__ggml_vocab_test__
+33333
+__ggml_vocab_test__
+333333
+__ggml_vocab_test__
+3333333
+__ggml_vocab_test__
+33333333
+__ggml_vocab_test__
+333333333
+__ggml_vocab_test__
+Cửa Việt
+__ggml_vocab_test__
+ discards
+__ggml_vocab_test__
+
+ 
+
+ 
+
+
+ 	 		 	
+  
+   
+    
+     
+🚀 (normal) 😶‍🌫️ (multiple emojis concatenated) ✅ 🦙🦙 3 33 333 3333 33333 333333 3333333 33333333 3.3 3..3 3...3 កាន់តែពិសេសអាច😁 ?我想在apple工作1314151天～ ------======= нещо на Български ''''''```````""""......!!!!!!?????? I've been 'told he's there, 'RE you sure? 'M not sure I'll make it, 'D you like some tea? We'Ve a'lL
\ No newline at end of file
diff --git a/models/ggml-vocab-gemma-4.gguf.out b/models/ggml-vocab-gemma-4.gguf.out
new file mode 100644
index 000000000..bd3143b88
--- /dev/null
+++ b/models/ggml-vocab-gemma-4.gguf.out
@@ -0,0 +1,46 @@
+1178 236743 236812 47041 3794
+239122 22744 535
+
+236743
+138
+139
+255968
+107
+108
+109
+255968 107
+9259 1902
+26352 1902
+9259 4109
+26352 4109
+26352 4109 236888
+9259 236764 1902 236888
+26352 236764 1902 236888
+672 563 236743 478 397 404 391 236761 12362
+236765 236771 236812 236828 236743 236832 11372 12065 31806 3405 9360
+1337 12515 1333 4632 165543 3830
+234889 63031 219876 66212 239077 237907 144494
+242015 568 7382 236768 236743 247717 237243 248989 238178 568 43819 111730 150567 236768 113452 568 8960 64334 600 815 1061 1852 8369 236768
+9259
+26352
+138 9259
+139 9259
+140 9259
+140 9259 107 140 9259
+568
+107 578
+236789 6933
+9259 236764 570 236789 712 236888 2088 659 611 170124 2360 62133 237075 17641 11700 236770 236800 236770 236812 236770 236810 236770 237471 238352
+123947
+236800
+236800 236800
+236800 236800 236800
+236800 236800 236800 236800
+236800 236800 236800 236800 236800
+236800 236800 236800 236800 236800 236800
+236800 236800 236800 236800 236800 236800 236800
+236800 236800 236800 236800 236800 236800 236800 236800
+236800 236800 236800 236800 236800 236800 236800 236800 236800
+236780 29719 33154
+2243 2206
+107 236743 108 236743 109 236743 255968 236743 255969 236743 255968 107 138 107 139 107 140 107 141 107 242015 568 7382 236768 236743 247717 237243 248989 238178 568 43819 111730 150567 236768 113452 236743 478 397 404 391 478 397 404 391 236743 236800 236743 236800 236800 236743 236800 236800 236800 236743 236800 236800 236800 236800 236743 236800 236800 236800 236800 236800 236743 236800 236800 236800 236800 236800 236800 236743 236800 236800 236800 236800 236800 236800 236800 236743 236800 236800 236800 236800 236800 236800 236800 236800 236743 236800 236761 236800 236743 236800 856 236800 236743 236800 1390 236800 90986 92814 63031 219876 66212 241702 2360 62133 237075 17641 11700 236770 236800 236770 236812 236770 236810 236770 237471 238352 80448 120697 210119 1333 4632 165543 3830 9451 159561 2629 2629 2717 84491 19938 123947 38950 10371 564 236789 560 1010 756 151812 668 236789 236751 993 236764 756 1357 611 2889 236881 756 236792 711 2889 564 236789 859 1386 625 236764 756 236796 611 1133 1070 11115 236881 1191 236789 32541 496 236789 95635
diff --git a/models/templates/Reka-Edge.jinja b/models/templates/Reka-Edge.jinja
new file mode 100644
index 000000000..76bb21f8a
--- /dev/null
+++ b/models/templates/Reka-Edge.jinja
@@ -0,0 +1,161 @@
+{%- macro render_content(content, num_img_tokens, num_video_frames) -%}
+    {%- if content is string -%}
+        {{- content -}}
+    {%- elif content is sequence -%}
+        {%- set ns = namespace(out="", prev_was_text=false) -%}
+        {%- for item in content -%}
+            {%- set item_type = item.get("type") -%}
+            {%- if item_type == "text" or item.get("text") is not none -%}
+                {%- set text = item.get("text", "") -%}
+                {%- if text -%}
+                    {%- if ns.prev_was_text -%}
+                        {%- set ns.out = ns.out ~ " " -%}
+                    {%- endif -%}
+                    {%- set ns.out = ns.out ~ text -%}
+                {%- endif -%}
+                {%- set ns.prev_was_text = text != "" -%}
+            {%- elif item_type in ["image", "image_url"] or item.get("image") is not none or item.get("image_url") is not none -%}
+                {%- set ns.out = ns.out ~ "<image>" ~ ("<REKA_IMG_TOKEN>" * num_img_tokens) ~ "</image>" -%}
+                {%- set ns.prev_was_text = false -%}
+            {%- elif item_type in ["video", "video_url"] or item.get("video") is not none or item.get("video_url") is not none -%}
+                {%- set repeat_tokens = num_img_tokens * num_video_frames -%}
+                {%- set ns.out = ns.out ~ "<video>" ~ ("<REKA_IMG_TOKEN>" * repeat_tokens) ~ "</video>" -%}
+                {%- set ns.prev_was_text = false -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {{- ns.out -}}
+    {%- endif -%}
+{%- endmacro -%}
+{%- set ns = namespace(out="", last_query_index=messages|length - 1) -%}
+{%- for msg in messages[::-1] -%}
+    {%- set idx = messages|length - 1 - loop.index0 -%}
+    {%- if msg.get("role") == "user" -%}
+        {%- set content = msg.get("content", "") -%}
+        {%- if not (content is string and content.startswith("<tool_response>") and content.endswith("</tool_response>")) -%}
+            {%- set ns.last_query_index = idx -%}
+            {%- break -%}
+        {%- endif -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- set last_query_index = ns.last_query_index -%}
+{%- set num_img_tokens = num_img_tokens | default(64, true) | int -%}
+{%- set num_video_frames = num_video_frames | default(6, true) | int -%}
+{%- set start_idx = 0 -%}
+{%- set system_text = "" -%}
+{%- if messages|length > 0 and messages[0].get("role") in ["system", "developer"] -%}
+    {%- set system_text = render_content(messages[0].get("content", ""), num_img_tokens, num_video_frames) -%}
+    {%- set start_idx = 1 -%}
+{%- endif -%}
+{%- if tools or system_text -%}
+    {%- set preamble_ns = namespace(text="") -%}
+    {%- if system_text -%}
+        {%- set preamble_ns.text = "system: " ~ system_text -%}
+    {%- endif -%}
+    {%- if tools -%}
+        {%- if preamble_ns.text -%}
+            {%- set preamble_ns.text = preamble_ns.text ~ "\n\n" -%}
+        {%- else -%}
+            {%- set preamble_ns.text = "system: " -%}
+        {%- endif -%}
+        {%- set preamble_ns.text = preamble_ns.text
+            ~ "# Tools\n\n"
+            ~ "You may call one or more functions to assist with the user query.\n\n"
+            ~ "You are provided with function signatures within <tools></tools> XML tags:\n"
+            ~ "<tools>" -%}
+        {%- for tool in tools -%}
+            {%- set preamble_ns.text = preamble_ns.text ~ "\n" ~ (tool | tojson(ensure_ascii=True)) -%}
+        {%- endfor -%}
+        {%- set preamble_ns.text = preamble_ns.text
+            ~ "\n</tools>\n\n"
+            ~ "For each function call, return a json object with function name and arguments "
+            ~ "within <tool_call></tool_call> XML tags:\n"
+            ~ "<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>" -%}
+    {%- endif -%}
+    {%- set ns.out = ns.out ~ preamble_ns.text ~ "\n\n<sep>" -%}
+{%- endif -%}
+{%- for idx in range(start_idx, messages|length) -%}
+    {%- set message = messages[idx] -%}
+    {%- set role = message.get("role") -%}
+    {%- set content = message.get("content") -%}
+    {%- if role == "user" -%}
+        {%- set prefix_ns = namespace(value="human: ") -%}
+        {%- if content is sequence and content is not string -%}
+            {%- for item in content -%}
+                {%- if item.get("type") == "text" or item.get("text") is not none -%}
+                    {%- set text = item.get("text", "") -%}
+                    {%- if text -%}
+                        {%- break -%}
+                    {%- endif -%}
+                {%- elif item.get("type") in ["image", "image_url", "video", "video_url"] -%}
+                    {%- set prefix_ns.value = "human:" -%}
+                    {%- break -%}
+                {%- endif -%}
+            {%- endfor -%}
+        {%- endif -%}
+        {%- set ns.out = ns.out ~ prefix_ns.value ~ render_content(content, num_img_tokens, num_video_frames) ~ "<sep>" -%}
+    {%- elif role == "assistant" -%}
+        {%- set tool_calls = message.get("tool_calls") -%}
+        {%- set content_text = render_content(content, num_img_tokens, num_video_frames) -%}
+        {%- set reasoning_text = "" -%}
+        {%- if message.get("reasoning_content") is string -%}
+            {%- set reasoning_text = message.get("reasoning_content") -%}
+        {%- elif "</think>" in content_text -%}
+            {%- set reasoning_text = content_text.split("</think>", 1)[0].rstrip("\n").split("<think>")[-1].lstrip("\n") -%}
+            {%- set content_text = content_text.split("</think>", 1)[1].lstrip("\n") -%}
+        {%- endif -%}
+        {%- set ns.out = ns.out ~ "assistant: " -%}
+        {%- set include_thinking = enable_thinking is true
+            and idx > last_query_index
+            and (idx == messages|length - 1 or reasoning_text)
+        -%}
+        {%- if include_thinking -%}
+            {%- set ns.out = ns.out ~ "<think>\n" ~ (reasoning_text.strip() ) ~ "\n</think>\n\n" -%}
+        {%- endif -%}
+        {%- set ns.out = ns.out ~ content_text -%}
+        {%- if tool_calls -%}
+            {%- if content_text and not ns.out.endswith("\n") -%}
+                {%- set ns.out = ns.out ~ "\n" -%}
+            {%- endif -%}
+            {%- for tool_call in tool_calls -%}
+                {%- if tool_call.get("function") is not none -%}
+                    {%- set tool_call = tool_call.get("function") -%}
+                {%- endif -%}
+                {%- set arguments = tool_call.get("arguments", {}) -%}
+                {%- if arguments is string -%}
+                    {%- set arguments_json = arguments -%}
+                {%- elif arguments is mapping -%}
+                    {%- set arguments_json = arguments | tojson(ensure_ascii=True) -%}
+                {%- else -%}
+                    {%- set arguments_json = arguments | tojson(ensure_ascii=True) -%}
+                {%- endif -%}
+                {%- set ns.out = ns.out
+                    ~ "<tool_call>\n"
+                    ~ "{\"name\": \"" ~ tool_call.get("name", "") ~ "\", \"arguments\": "
+                    ~ arguments_json
+                    ~ "}\n</tool_call>" -%}
+            {%- endfor -%}
+        {%- endif -%}
+        {%- if not (continue_final_message and idx == messages|length - 1) -%}
+            {%- set ns.out = ns.out ~ "\n\n<sep>" -%}
+        {%- endif -%}
+    {%- elif role == "tool" -%}
+        {%- if idx == start_idx or messages[idx - 1].get("role") != "tool" -%}
+            {%- set ns.out = ns.out ~ "human: " -%}
+        {%- endif -%}
+        {%- set response_text = render_content(content, num_img_tokens, num_video_frames) -%}
+        {%- set ns.out = ns.out ~ "<tool_response>\n" ~ response_text ~ "\n</tool_response>" -%}
+        {%- if idx == messages|length - 1 or messages[idx + 1].get("role") != "tool" -%}
+            {%- set ns.out = ns.out ~ "<sep>" -%}
+        {%- endif -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt
+    and (messages|length == 0 or messages[-1].get("role") != "assistant")
+-%}
+    {%- if enable_thinking is true -%}
+        {%- set ns.out = ns.out ~ "assistant: <think>\n" -%}
+    {%- else -%}
+        {%- set ns.out = ns.out ~ "assistant:" -%}
+    {%- endif -%}
+{%- endif -%}
+{{- ns.out -}}
\ No newline at end of file
diff --git a/models/templates/deepseek-ai-DeepSeek-V3.2.jinja b/models/templates/deepseek-ai-DeepSeek-V3.2.jinja
new file mode 100644
index 000000000..98d56589f
--- /dev/null
+++ b/models/templates/deepseek-ai-DeepSeek-V3.2.jinja
@@ -0,0 +1,141 @@
+{%- if not add_generation_prompt is defined -%}
+  {%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- if not thinking is defined -%}
+  {%- if enable_thinking is defined -%}
+    {%- set thinking = enable_thinking -%}
+  {%- else -%}
+    {%- set thinking = false -%}
+  {%- endif -%}
+{%- endif -%}
+{%- set dsml_token = '｜DSML｜' -%}
+{%- set thinking_start_token = '<think>' -%}
+{%- set thinking_end_token = '</think>' -%}
+{%- set tools_header = '## Tools\n\nYou have access to a set of tools you can use to answer the user\'s question.\nYou can invoke functions by writing a "<' + dsml_token + 'function_calls>" block like the following as part of your reply to the user:\n<' + dsml_token + 'function_calls>\n<' + dsml_token + 'invoke name="$FUNCTION_NAME">\n<' + dsml_token + 'parameter name="$PARAMETER_NAME" string="true|false">$PARAMETER_VALUE</' + dsml_token + 'parameter>\n...\n</' + dsml_token + 'invoke>\n<' + dsml_token + 'invoke name="$FUNCTION_NAME2">\n...\n</' + dsml_token + 'invoke>\n</' + dsml_token + 'function_calls>\n\nString and scalar parameters should be specified as is without any escaping or quotes, while lists and objects should use JSON format. The "string" attribute should be set to "true" for string type parameters and "false" for other types (numbers, booleans, arrays, objects).\n\nIf the thinking_mode is enabled, then after function results you should strongly consider outputting a thinking block. Here is an example:\n\n<' + dsml_token + 'function_calls>\n...\n</' + dsml_token + 'function_calls>\n\n<function_results>\n...\n</function_results>\n\n' + thinking_start_token + '...thinking about results' + thinking_end_token + '\n\nHere are the functions available in JSONSchema format:\n<functions>\n' -%}
+{%- set tools_footer = '</functions>\n' -%}
+{%- set ns = namespace(system_prompt='', is_first_sp=true) -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'system' -%}
+    {%- if ns.is_first_sp -%}
+      {%- set ns.system_prompt = ns.system_prompt + (message['content'] or '') -%}
+      {%- set ns.is_first_sp = false -%}
+    {%- else -%}
+      {%- set ns.system_prompt = ns.system_prompt + '\n\n' + (message['content'] or '') -%}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}
+{%- if tools is defined and tools -%}
+  {%- set ts = namespace(schemas='') -%}
+  {%- for tool in tools -%}
+    {%- if tool['type'] == 'function' -%}
+      {%- set ts.schemas = ts.schemas + (tool['function'] | tojson) + '\n' -%}
+    {%- endif -%}
+  {%- endfor -%}
+  {%- if ns.system_prompt -%}
+    {%- set ns.system_prompt = ns.system_prompt + '\n\n' + tools_header + ts.schemas + tools_footer -%}
+  {%- else -%}
+    {%- set ns.system_prompt = tools_header + ts.schemas + tools_footer -%}
+  {%- endif -%}
+{%- endif -%}
+{{- bos_token -}}
+{{- ns.system_prompt -}}
+{%- set last_user_idx = namespace(value=-1) -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'user' or message['role'] == 'developer' -%}
+    {%- set last_user_idx.value = loop.index0 -%}
+  {%- endif -%}
+{%- endfor -%}
+{%- set state = namespace(pending_asst_marker=false, pending_tool_marker=false) -%}
+{%- for message in messages -%}
+  {%- if message['role'] == 'user' -%}
+    {{- '<｜User｜>' + (message['content'] or '') -}}
+    {%- set state.pending_asst_marker = true -%}
+    {%- set state.pending_tool_marker = false -%}
+  {%- elif message['role'] == 'assistant' -%}
+    {%- set is_after_last_user = loop.index0 > last_user_idx.value -%}
+    {%- if state.pending_asst_marker -%}
+      {{- '<｜Assistant｜>' -}}
+      {%- if is_after_last_user and thinking -%}
+        {{- thinking_start_token -}}
+        {%- if message['reasoning_content'] is defined and message['reasoning_content'] -%}
+          {{- message['reasoning_content'] -}}
+        {%- endif -%}
+        {{- thinking_end_token -}}
+      {%- else -%}
+        {{- thinking_end_token -}}
+      {%- endif -%}
+    {%- elif state.pending_tool_marker -%}
+      {%- if is_after_last_user and thinking -%}
+        {{- '\n\n' + thinking_start_token -}}
+        {%- if message['reasoning_content'] is defined and message['reasoning_content'] -%}
+          {{- message['reasoning_content'] -}}
+        {%- endif -%}
+        {{- thinking_end_token -}}
+      {%- else -%}
+        {{- '\n\n' + thinking_end_token -}}
+      {%- endif -%}
+    {%- endif -%}
+    {%- set state.pending_asst_marker = false -%}
+    {%- set state.pending_tool_marker = false -%}
+    {%- if message['content'] is defined and message['content'] -%}
+      {{- message['content'] -}}
+    {%- endif -%}
+    {%- if message['tool_calls'] -%}
+      {{- '\n\n<' + dsml_token + 'function_calls>\n' -}}
+      {%- for tool in message['tool_calls'] -%}
+        {%- set func = tool['function'] -%}
+        {{- '<' + dsml_token + 'invoke name="' + func['name'] + '">\n' -}}
+        {%- set args = func['arguments'] -%}
+        {%- if args is string -%}
+          {%- set args = args | from_json -%}
+        {%- endif -%}
+        {%- for key, val in args.items() -%}
+          {%- if val is string -%}
+            {{- '<' + dsml_token + 'parameter name="' + key + '" string="true">' + val + '</' + dsml_token + 'parameter>\n' -}}
+          {%- else -%}
+            {{- '<' + dsml_token + 'parameter name="' + key + '" string="false">' + (val | tojson) + '</' + dsml_token + 'parameter>\n' -}}
+          {%- endif -%}
+        {%- endfor -%}
+        {{- '</' + dsml_token + 'invoke>\n' -}}
+      {%- endfor -%}
+      {{- '</' + dsml_token + 'function_calls>' -}}
+    {%- endif -%}
+    {{- '<｜end▁of▁sentence｜>' -}}
+  {%- elif message['role'] == 'tool' -%}
+    {%- set outer_index = loop.index0 -%}
+    {%- set assistant_idx = namespace(value=-1) -%}
+    {%- for prev_msg in messages -%}
+      {%- if prev_msg['role'] == 'assistant' and prev_msg['tool_calls'] and loop.index0 < outer_index -%}
+        {%- set assistant_idx.value = loop.index0 -%}
+      {%- endif -%}
+    {%- endfor -%}
+    {%- set call_order = outer_index - assistant_idx.value -%}
+    {%- set assistant_msg = messages[assistant_idx.value] -%}
+    {%- set tool_call_count = assistant_msg['tool_calls'] | length -%}
+    {%- if call_order == 1 -%}
+      {{- '\n\n<function_results>' -}}
+    {%- endif -%}
+    {{- '\n<result>' + (message['content'] or '') + '</result>' -}}
+    {%- if call_order == tool_call_count -%}
+      {{- '\n</function_results>' -}}
+      {%- set state.pending_asst_marker = false -%}
+      {%- set state.pending_tool_marker = true -%}
+    {%- endif -%}
+  {%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+  {%- if state.pending_asst_marker -%}
+    {{- '<｜Assistant｜>' -}}
+    {%- if thinking -%}
+      {{- thinking_start_token -}}
+    {%- else -%}
+      {{- thinking_start_token + thinking_end_token -}}
+    {%- endif -%}
+  {%- elif state.pending_tool_marker -%}
+    {%- if thinking -%}
+      {{- '\n\n' + thinking_start_token -}}
+    {%- else -%}
+      {{- '\n\n' + thinking_start_token + thinking_end_token -}}
+    {%- endif -%}
+  {%- endif -%}
+{%- endif -%}
diff --git a/models/templates/google-gemma-4-31B-it-interleaved.jinja b/models/templates/google-gemma-4-31B-it-interleaved.jinja
index 422f6da2b..85791c4fe 100644
--- a/models/templates/google-gemma-4-31B-it-interleaved.jinja
+++ b/models/templates/google-gemma-4-31B-it-interleaved.jinja
@@ -152,14 +152,14 @@
 
 {%- set ns = namespace(prev_message_type=None, last_user_message=-1) -%}
 {%- set loop_messages = messages -%}
-{{ bos_token }}
+{{- bos_token -}}
 {#- Handle System/Tool Definitions Block -#}
 {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
     {{- '<|turn>system\n' -}}
 
     {#- Inject Thinking token at the very top of the FIRST system turn -#}
     {%- if enable_thinking is defined and enable_thinking -%}
-        {{- '<|think|>' -}}
+        {{- '<|think|>\n' -}}
         {%- set ns.prev_message_type = 'think' -%}
     {%- endif -%}
 
@@ -255,13 +255,13 @@
                             {{- item['text'] | trim -}}
                         {%- endif -%}
                     {%- elif item['type'] == 'image' -%}
-                        {{- '\n\n<|image|>\n\n' -}}
+                        {{- '<|image|>' -}}
                         {%- set ns.prev_message_type = 'image' -%}
                     {%- elif item['type'] == 'audio' -%}
                         {{- '<|audio|>' -}}
                         {%- set ns.prev_message_type = 'audio' -%}
                     {%- elif item['type'] == 'video' -%}
-                        {{- '\n\n<|video|>\n\n' -}}
+                        {{- '<|video|>' -}}
                         {%- set ns.prev_message_type = 'video' -%}
                     {%- endif -%}
                 {%- endfor -%}
diff --git a/models/templates/google-gemma-4-31B-it.jinja b/models/templates/google-gemma-4-31B-it.jinja
index 33c51c2db..98da08eb6 100644
--- a/models/templates/google-gemma-4-31B-it.jinja
+++ b/models/templates/google-gemma-4-31B-it.jinja
@@ -11,34 +11,15 @@
                 description:<|"|>{{ value['description'] }}<|"|>
                 {%- set add_comma = true -%}
             {%- endif -%}
-            {%- if value['nullable'] %}
-                {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
-                nullable:true
-            {%- endif -%}
             {%- if value['type'] | upper == 'STRING' -%}
                 {%- if value['enum'] -%}
                     {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
                     enum:{{ format_argument(value['enum']) }}
                 {%- endif -%}
-            {%- elif value['type'] | upper == 'OBJECT' -%}
-                ,properties:{
-                {%- if value['properties'] is defined and value['properties'] is mapping -%}
-                    {{- format_parameters(value['properties'], value['required'] | default([])) -}}
-                {%- elif value is mapping -%}
-                    {{- format_parameters(value, value['required'] | default([])) -}}
-                {%- endif -%}
-                }
-                {%- if value['required'] -%}
-                    ,required:[
-                    {%- for item in value['required'] | default([]) -%}
-                        <|"|>{{- item -}}<|"|>
-                        {%- if not loop.last %},{% endif -%}
-                    {%- endfor -%}
-                    ]
-                {%- endif -%}
             {%- elif value['type'] | upper == 'ARRAY' -%}
                 {%- if value['items'] is mapping and value['items'] -%}
-                    ,items:{
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    items:{
                     {%- set ns_items = namespace(found_first=false) -%}
                     {%- for item_key, item_value in value['items'] | dictsort -%}
                         {%- if item_value is not none -%}
@@ -71,6 +52,32 @@
                     }
                 {%- endif -%}
             {%- endif -%}
+            {%- if value['nullable'] %}
+                {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                nullable:true
+            {%- endif -%}
+            {%- if value['type'] | upper == 'OBJECT' -%}
+                {%- if value['properties'] is defined and value['properties'] is mapping -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    properties:{
+                    {{- format_parameters(value['properties'], value['required'] | default([])) -}}
+                    }
+                {%- elif value is mapping -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    properties:{
+                    {{- format_parameters(value, value['required'] | default([])) -}}
+                    }
+                {%- endif -%}
+                {%- if value['required'] -%}
+                    {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
+                    required:[
+                    {%- for item in value['required'] | default([]) -%}
+                        <|"|>{{- item -}}<|"|>
+                        {%- if not loop.last %},{% endif -%}
+                    {%- endfor -%}
+                    ]
+                {%- endif -%}
+            {%- endif -%}
             {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif -%}
             type:<|"|>{{ value['type'] | upper }}<|"|>}
         {%- endif -%}
@@ -150,16 +157,31 @@
     {{- ns.result | trim -}}
 {%- endmacro -%}
 
+{%- macro format_tool_response_block(tool_name, response) -%}
+    {{- '<|tool_response>' -}}
+    {%- if response is mapping -%}
+        {{- 'response:' + tool_name + '{' -}}
+        {%- for key, value in response | dictsort -%}
+            {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
+            {%- if not loop.last %},{% endif -%}
+        {%- endfor -%}
+        {{- '}' -}}
+    {%- else -%}
+        {{- 'response:' + tool_name + '{value:' + format_argument(response, escape_keys=False) + '}' -}}
+    {%- endif -%}
+    {{- '<tool_response|>' -}}
+{%- endmacro -%}
+
 {%- set ns = namespace(prev_message_type=None) -%}
 {%- set loop_messages = messages -%}
-{{ bos_token }}
+{{- bos_token -}}
 {#- Handle System/Tool Definitions Block -#}
 {%- if (enable_thinking is defined and enable_thinking) or tools or messages[0]['role'] in ['system', 'developer'] -%}
     {{- '<|turn>system\n' -}}
 
     {#- Inject Thinking token at the very top of the FIRST system turn -#}
     {%- if enable_thinking is defined and enable_thinking -%}
-        {{- '<|think|>' -}}
+        {{- '<|think|>\n' -}}
         {%- set ns.prev_message_type = 'think' -%}
     {%- endif -%}
 
@@ -180,11 +202,41 @@
     {{- '<turn|>\n' -}}
 {%- endif %}
 
+{#- Pre-scan: find last user message index for reasoning guard -#}
+{%- set ns_turn = namespace(last_user_idx=-1) -%}
+{%- for i in range(loop_messages | length) -%}
+    {%- if loop_messages[i]['role'] == 'user' -%}
+        {%- set ns_turn.last_user_idx = i -%}
+    {%- endif -%}
+{%- endfor -%}
+
 {#- Loop through messages -#}
 {%- for message in loop_messages -%}
+    {%- if message['role'] != 'tool' -%}
     {%- set ns.prev_message_type = None -%}
     {%- set role = 'model' if message['role'] == 'assistant' else message['role'] -%}
+    {#- Detect continuation: suppress duplicate <|turn>model when previous non-tool message was also assistant -#}
+    {%- set prev_nt = namespace(role=None, found=false) -%}
+    {%- if loop.index0 > 0 -%}
+        {%- for j in range(loop.index0 - 1, -1, -1) -%}
+            {%- if not prev_nt.found -%}
+                {%- if loop_messages[j]['role'] != 'tool' -%}
+                    {%- set prev_nt.role = loop_messages[j]['role'] -%}
+                    {%- set prev_nt.found = true -%}
+                {%- endif -%}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- endif -%}
+    {%- set continue_same_model_turn = (role == 'model' and prev_nt.role == 'assistant') -%}
+    {%- if not continue_same_model_turn -%}
         {{- '<|turn>' + role + '\n' }}
+    {%- endif -%}
+
+    {#- Render reasoning/reasoning_content as thinking channel -#}
+    {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content') -%}
+    {%- if thinking_text and loop.index0 > ns_turn.last_user_idx and message.get('tool_calls') -%}
+        {{- '<|channel>thought\n' + thinking_text + '\n<channel|>' -}}
+    {%- endif -%}
 
             {%- if message['tool_calls'] -%}
                 {%- for tool_call in message['tool_calls'] -%}
@@ -205,23 +257,49 @@
                 {%- set ns.prev_message_type = 'tool_call' -%}
             {%- endif -%}
 
-            {%- if message['tool_responses'] -%}
-                {#- Tool Response handling -#}
+            {%- set ns_tr_out = namespace(flag=false) -%}
+            {%- if message.get('tool_responses') -%}
+                {#- Legacy: tool_responses embedded on the assistant message (Google/Gemma native) -#}
                 {%- for tool_response in message['tool_responses'] -%}
-                    {{- '<|tool_response>' -}}
-                    {%- if tool_response['response'] is mapping -%}
-                        {{- 'response:' + tool_response['name'] | default('unknown') + '{' -}}
-                        {%- for key, value in tool_response['response'] | dictsort -%}
-                            {{- key -}}:{{- format_argument(value, escape_keys=False) -}}
-                            {%- if not loop.last %},{% endif -%}
-                        {%- endfor -%}
-                        {{- '}' -}}
+                    {{- format_tool_response_block(tool_response['name'] | default('unknown'), tool_response['response']) -}}
+                    {%- set ns_tr_out.flag = true -%}
+                    {%- set ns.prev_message_type = 'tool_response' -%}
+                {%- endfor -%}
+            {%- elif message.get('tool_calls') -%}
+                {#- OpenAI Chat Completions: forward-scan consecutive role:tool messages -#}
+                {%- set ns_tool_scan = namespace(stopped=false) -%}
+                {%- for k in range(loop.index0 + 1, loop_messages | length) -%}
+                    {%- if ns_tool_scan.stopped -%}
+                    {%- elif loop_messages[k]['role'] != 'tool' -%}
+                        {%- set ns_tool_scan.stopped = true -%}
                     {%- else -%}
-                        {{- 'response:' + tool_response['name'] | default('unknown') + '{value:' + format_argument(tool_response['response'], escape_keys=False) + '}' -}}
+                        {%- set follow = loop_messages[k] -%}
+                        {#- Resolve tool_call_id to function name -#}
+                        {%- set ns_tname = namespace(name=follow.get('name') | default('unknown')) -%}
+                        {%- for tc in message['tool_calls'] -%}
+                            {%- if tc.get('id') == follow.get('tool_call_id') -%}
+                                {%- set ns_tname.name = tc['function']['name'] -%}
+                            {%- endif -%}
+                        {%- endfor -%}
+                        {#- Handle content as string or content-parts array -#}
+                        {%- set tool_body = follow.get('content') -%}
+                        {%- if tool_body is string -%}
+                            {{- format_tool_response_block(ns_tname.name, tool_body) -}}
+                        {%- elif tool_body is sequence and tool_body is not string -%}
+                            {%- set ns_txt = namespace(s='') -%}
+                            {%- for part in tool_body -%}
+                                {%- if part.get('type') == 'text' -%}
+                                    {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}
+                                {%- endif -%}
+                            {%- endfor -%}
+                            {{- format_tool_response_block(ns_tname.name, ns_txt.s) -}}
+                        {%- else -%}
+                            {{- format_tool_response_block(ns_tname.name, tool_body) -}}
+                        {%- endif -%}
+                        {%- set ns_tr_out.flag = true -%}
+                        {%- set ns.prev_message_type = 'tool_response' -%}
                     {%- endif -%}
-                    {{- '<tool_response|>' -}}
                 {%- endfor -%}
-                {%- set ns.prev_message_type = 'tool_response' -%}
             {%- endif -%}
 
             {%- if message['content'] is string -%}
@@ -239,28 +317,31 @@
                             {{- item['text'] | trim -}}
                         {%- endif -%}
                     {%- elif item['type'] == 'image' -%}
-                        {{- '\n\n<|image|>\n\n' -}}
+                        {{- '<|image|>' -}}
                         {%- set ns.prev_message_type = 'image' -%}
                     {%- elif item['type'] == 'audio' -%}
                         {{- '<|audio|>' -}}
                         {%- set ns.prev_message_type = 'audio' -%}
                     {%- elif item['type'] == 'video' -%}
-                        {{- '\n\n<|video|>\n\n' -}}
+                        {{- '<|video|>' -}}
                         {%- set ns.prev_message_type = 'video' -%}
                     {%- endif -%}
                 {%- endfor -%}
             {%- endif -%}
 
-        {%- if not (message['tool_responses'] and not message['content']) -%}
+        {%- if ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}
+            {{- '<|tool_response>' -}}
+        {%- elif not (ns_tr_out.flag and not message.get('content')) -%}
             {{- '<turn|>\n' -}}
         {%- endif -%}
+    {%- endif -%}
 {%- endfor -%}
 
 {%- if add_generation_prompt -%}
-    {%- if ns.prev_message_type != 'tool_response' -%}
+    {%- if ns.prev_message_type != 'tool_response' and ns.prev_message_type != 'tool_call' -%}
         {{- '<|turn>model\n' -}}
-    {%- endif -%}
-    {%- if not enable_thinking | default(false) -%}
-        {{- '<|channel>thought\n<channel|>' -}}
+        {%- if not enable_thinking | default(false) -%}
+            {{- '<|channel>thought\n<channel|>' -}}
+        {%- endif -%}
     {%- endif -%}
 {%- endif -%}
diff --git a/pocs/vdot/CMakeLists.txt b/pocs/vdot/CMakeLists.txt
index 6235aec1f..f3776268a 100644
--- a/pocs/vdot/CMakeLists.txt
+++ b/pocs/vdot/CMakeLists.txt
@@ -1,9 +1,9 @@
 set(TARGET llama-vdot)
 add_executable(${TARGET} vdot.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 set(TARGET llama-q8dot)
 add_executable(${TARGET} q8dot.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index eb6baa6c7..000000000
--- a/poetry.lock
+++ /dev/null
@@ -1,1197 +0,0 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
-
-[[package]]
-name = "atomicwrites"
-version = "1.4.1"
-description = "Atomic file writes."
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-files = [
-    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
-]
-
-[[package]]
-name = "attrs"
-version = "23.2.0"
-description = "Classes Without Boilerplate"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
-    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
-]
-
-[package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
-
-[[package]]
-name = "certifi"
-version = "2024.2.2"
-description = "Python package for providing Mozilla's CA Bundle."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
-]
-
-[[package]]
-name = "charset-normalizer"
-version = "3.3.2"
-description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
-    {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
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diff --git a/pyproject.toml b/pyproject.toml
index 422f53c7c..a39c4f010 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,31 +1,48 @@
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+requires-python = '>=3.10'
+dependencies = [
+    'numpy (>=1.25.0,<2.0.0)',
+    'sentencepiece (>=0.1.98,<0.3.0)',
+    'transformers (==5.5.1)',
+    'protobuf (>=4.21.0)',
+    'torch (>=2.2.0,<3.0.0)',
+    'gguf @ ./gguf-py',
+]
 classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: MIT License",
     "Operating System :: OS Independent",
 ]
 
+[project.urls]
+homepage = "https://ggml.ai"
+repository = "https://github.com/ggml-org/llama.cpp"
+
+[project.scripts]
+llama-convert-hf-to-gguf = "convert_hf_to_gguf:main"
+llama-convert-lora-to-gguf = "convert_lora_to_gguf:main"
+llama-convert-llama-ggml-to-gguf = "convert_llama_ggml_to_gguf:main"
+llama-ggml-vk-generate-shaders = "ggml_vk_generate_shaders:main"
+
+[tool.poetry]
+packages = [{ include = "*.py", from = "." }]
+
 [tool.poetry.dependencies]
-python = ">=3.9"
-numpy = "^1.25.0"
-sentencepiece = ">=0.1.98,<0.3.0"
-transformers = ">=4.35.2,<5.0.0"
-protobuf = ">=4.21.0,<5.0.0"
-gguf = { path = "./gguf-py" }
-torch = { version = "^2.2.0", source = "pytorch" }
-
-[tool.poetry.dev-dependencies]
-pytest = "^5.2"
+torch = [
+    { version = "~=2.6.0", source = "pypi", markers = "sys_platform == 'darwin'" },
+    { version = "~=2.6.0+cpu", source = "pytorch", markers = "sys_platform == 'linux'" },
+    { version = "~=2.6.0", source = "pypi", markers = "sys_platform == 'win32'" }
+]
 
+[tool.poetry.group.dev.dependencies]
+pytest = "^5.2"
 
 # Force wheel + cpu
 # For discussion and context see https://github.com/python-poetry/poetry#6409
@@ -34,12 +51,14 @@ name = "pytorch"
 url = "https://download.pytorch.org/whl/cpu"
 priority = "explicit"
 
+[tool.uv.sources]
+torch = { index = "pytorch" }
+
+[[tool.uv.index]]
+name = "pytorch"
+url = "https://download.pytorch.org/whl/cpu"
+explicit = true
+
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
-
-[tool.poetry.scripts]
-llama-convert-hf-to-gguf = "convert_hf_to_gguf:main"
-llama-convert-lora-to-gguf = "convert_lora_to_gguf:main"
-llama-convert-llama-ggml-to-gguf = "convert_llama_ggml_to_gguf:main"
-llama-ggml-vk-generate-shaders = "ggml_vk_generate_shaders:main"
diff --git a/requirements/requirements-convert_legacy_llama.txt b/requirements/requirements-convert_legacy_llama.txt
index 4898bf7ee..18d398010 100644
--- a/requirements/requirements-convert_legacy_llama.txt
+++ b/requirements/requirements-convert_legacy_llama.txt
@@ -1,7 +1,7 @@
 numpy~=1.26.4
 sentencepiece>=0.1.98,<0.3.0
 
-transformers>=4.57.1,<5.0.0
+transformers==5.5.1
 
 gguf>=0.1.0
 protobuf>=4.21.0,<5.0.0
diff --git a/requirements/requirements-tool_bench.txt b/requirements/requirements-tool_bench.txt
index 3bb74fb9d..17d6b866c 100644
--- a/requirements/requirements-tool_bench.txt
+++ b/requirements/requirements-tool_bench.txt
@@ -1,6 +1,6 @@
 aiohttp~=3.9.3
 pytest~=8.3.3
-huggingface_hub>=0.34.0,<1.0
+huggingface_hub>=1.5.0,<2.0
 matplotlib~=3.10.0
 numpy~=1.26.4
 openai~=2.14.0
@@ -8,5 +8,5 @@ pandas~=2.2.3
 prometheus-client~=0.20.0
 requests~=2.32.3
 wget~=3.2
-typer~=0.15.1
+typer~=0.24.1
 seaborn~=0.13.2
diff --git a/scripts/jinja/jinja-tester.py b/scripts/jinja/jinja-tester.py
index 4f79b8da3..a83f02541 100755
--- a/scripts/jinja/jinja-tester.py
+++ b/scripts/jinja/jinja-tester.py
@@ -20,6 +20,7 @@
 from jinja2 import TemplateSyntaxError
 from jinja2.sandbox import ImmutableSandboxedEnvironment
 from datetime import datetime
+from typing import Callable
 
 
 def format_template_content(template_content):
@@ -395,7 +396,7 @@ def raise_exception(text: str) -> str:
                 ensure_ascii=ensure_ascii,
             )
         )
-        env.globals["strftime_now"] = lambda format: datetime.now().strftime(format)  # ty: ignore[invalid-assignment]
+        env.globals["strftime_now"]: Callable[[str], str] = lambda format: datetime.now().strftime(format)
         env.globals["raise_exception"] = raise_exception  # ty: ignore[invalid-assignment]
         try:
             template = env.from_string(template_str)
diff --git a/scripts/pr2wt.sh b/scripts/pr2wt.sh
index e028814c4..ae03a888c 100755
--- a/scripts/pr2wt.sh
+++ b/scripts/pr2wt.sh
@@ -68,11 +68,19 @@ dir=$(basename $(pwd))
 git branch -D pr/$PR 2> /dev/null
 git worktree add -b pr/$PR ../$dir-pr-$PR pr/$PR/$head_ref 2> /dev/null
 
+og_path=$(pwd)
 wt_path=$(cd ../$dir-pr-$PR && pwd)
 
 echo "git worktree created in $wt_path"
 
 cd $wt_path
+
+# pi agent setup in the worktree
+if [[ -f "$og_path/.pi/SYSTEM.md" && ! -f ".pi/SYSTEM.md" ]]; then
+    mkdir -p .pi
+    ln -sfn "$og_path/.pi/SYSTEM.md" .pi/SYSTEM.md
+fi
+
 git branch --set-upstream-to=pr/$PR/$head_ref
 git pull   --ff-only || {
     echo "error: failed to pull pr/$PR"
diff --git a/scripts/server-test-function-call.py b/scripts/server-test-function-call.py
index b3aae1a96..c32f17b5e 100755
--- a/scripts/server-test-function-call.py
+++ b/scripts/server-test-function-call.py
@@ -79,7 +79,7 @@ def print_info(msg):
 # ---------------------------------------------------------------------------
 
 
-def chat_completion(url, messages, tools=None, stream=False):
+def chat_completion(url, messages, tools=None, stream=False, force_tools=False):
     payload = {
         "messages": messages,
         "stream": stream,
@@ -87,7 +87,10 @@ def chat_completion(url, messages, tools=None, stream=False):
     }
     if tools:
         payload["tools"] = tools
-        payload["tool_choice"] = "auto"
+        if force_tools:
+            payload["tool_choice"] = "required"
+        else:
+            payload["tool_choice"] = "auto"
 
     try:
         response = requests.post(url, json=payload, stream=stream)
@@ -160,7 +163,13 @@ def chat_completion(url, messages, tools=None, stream=False):
     return result
 
 
-def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6):
+def all_tools_called(tools, all_tool_calls):
+    all_tool_names = set([tc["function"]["name"] for tc in tools])
+    all_called_tool_names = set([tc["function"]["name"] for tc in all_tool_calls])
+    return all_tool_names == all_called_tool_names
+
+
+def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6, force_tools=False):
     """
     Drive the multi-turn tool-call loop:
       1. Send messages to model.
@@ -172,8 +181,8 @@ def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turn
     msgs = list(messages)
     all_tool_calls: list[dict] = []
 
-    for _ in range(max_turns):
-        result = chat_completion(url, msgs, tools=tools, stream=stream)
+    for t in range(max_turns):
+        result = chat_completion(url, msgs, tools=tools, stream=stream, force_tools=(force_tools and not all_tools_called(tools, all_tool_calls)))
         if result is None:
             return all_tool_calls, None
 
@@ -235,10 +244,10 @@ def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turn
 # ---------------------------------------------------------------------------
 
 
-def run_test(url, test_case, stream):
+def run_test(url, test_case, stream, force_tools):
     name = test_case["name"]
     mode = f"{'stream' if stream else 'non-stream'}"
-    print_header(f"{name}  [{mode}]")
+    print_header(f"{name} [{mode}, force_tools={force_tools}] ")
 
     all_tool_calls, final_content = run_agentic_loop(
         url,
@@ -246,6 +255,7 @@ def run_test(url, test_case, stream):
         tools=test_case["tools"],
         mock_tool_responses=test_case["mock_tool_responses"],
         stream=stream,
+        force_tools=force_tools
     )
 
     if final_content is None and not all_tool_calls:
@@ -1093,6 +1103,9 @@ def main():
     parser.add_argument(
         "--stream-only", action="store_true", help="Only run streaming mode tests"
     )
+    parser.add_argument(
+        "--force-tools", action="store_true", help="Change tool mode to forced instead of auto"
+    )
     parser.add_argument(
         "--test",
         help="Run only the test whose name contains this substring (case-insensitive)",
@@ -1103,10 +1116,13 @@ def main():
     print_info(f"Testing server at {url}")
 
     modes = []
+    force_tools = False
     if not args.stream_only:
         modes.append(False)
     if not args.no_stream:
         modes.append(True)
+    if args.force_tools:
+        force_tools = True
 
     cases: list[dict] = ALL_TEST_CASES
     if args.test:
@@ -1121,7 +1137,7 @@ def main():
     for stream in modes:
         for case in cases:
             total += 1
-            if run_test(url, case, stream=stream):
+            if run_test(url, case, stream=stream, force_tools=force_tools):
                 passed += 1
 
     color = GREEN if passed == total else RED
diff --git a/scripts/server-test-parallel-tc.py b/scripts/server-test-parallel-tc.py
new file mode 100755
index 000000000..a166c6d72
--- /dev/null
+++ b/scripts/server-test-parallel-tc.py
@@ -0,0 +1,991 @@
+#!/usr/bin/env python3
+"""
+Test parallel tool-calling capability via chat completions endpoint.
+
+Only run this against models that actually support parallel tool calls — this
+script does not attempt to toggle that setting on the server. Each scenario is
+explicitly worded so that a capable model SHOULD emit multiple tool calls in a
+single assistant turn (either the same tool N times, or several different
+tools at once).
+
+Each test case contains:
+  - tools: list of tool definitions (OpenAI-compatible)
+  - messages: initial conversation messages
+  - mock_tool_responses: dict mapping tool_name -> callable(arguments) -> str (JSON)
+  - expected_parallel: dict describing what constitutes a successful parallel turn
+        {"min_parallel": int,                # minimum tool_calls in one turn
+         "require_same_tool": Optional[str], # all parallel calls must be this tool
+         "require_distinct_tools": Optional[int], # >= N distinct tool names in one turn
+         "min_distinct_args_key": Optional[str]}  # parallel calls must span this
+                                                   # many distinct values of this arg key
+  - validate: callable(turns, all_tool_calls, final_content) -> (passed, reason)
+"""
+
+import argparse
+import json
+import requests
+import sys
+
+# ---------------------------------------------------------------------------
+# Color / formatting helpers
+# ---------------------------------------------------------------------------
+
+RESET = "\x1b[0m"
+BOLD = "\x1b[1m"
+DIM = "\x1b[2m"
+CYAN = "\x1b[36m"
+YELLOW = "\x1b[33m"
+GREEN = "\x1b[32m"
+RED = "\x1b[31m"
+BLUE = "\x1b[34m"
+WHITE = "\x1b[97m"
+MAGENTA = "\x1b[35m"
+
+
+def _print(text="", end="\n"):
+    sys.stdout.write(text + end)
+    sys.stdout.flush()
+
+
+def print_header(title):
+    bar = "─" * 60
+    _print(f"\n{BOLD}{CYAN}┌{bar}┐{RESET}")
+    _print(
+        f"{BOLD}{CYAN}│  {WHITE}{title}{CYAN}{' ' * max(0, 58 - len(title))}│{RESET}"
+    )
+    _print(f"{BOLD}{CYAN}└{bar}┘{RESET}")
+
+
+def print_turn_banner(turn_idx, n_calls):
+    color = MAGENTA if n_calls >= 2 else DIM
+    _print(f"\n  {BOLD}{color}▶ turn {turn_idx} — {n_calls} tool call(s){RESET}")
+
+
+def print_tool_call(name, args):
+    args_str = json.dumps(args)
+    _print(
+        f"    {BOLD}{YELLOW}⚙ {name}{RESET}{DIM}({args_str}){RESET}"
+    )
+
+
+def print_tool_result(result):
+    preview = result[:140] + ("…" if len(result) > 140 else "")
+    _print(f"      {DIM}{BLUE}↳ {preview}{RESET}")
+
+
+def print_model_output(text):
+    sys.stdout.write(text)
+    sys.stdout.flush()
+
+
+def print_pass(reason):
+    _print(f"\n{BOLD}{GREEN}✔ PASS{RESET}  {reason}")
+
+
+def print_fail(reason):
+    _print(f"\n{BOLD}{RED}✘ FAIL{RESET}  {reason}")
+
+
+def print_info(msg):
+    _print(f"{DIM}{msg}{RESET}")
+
+
+def print_warn(msg):
+    _print(f"{BOLD}{YELLOW}⚠ {msg}{RESET}")
+
+
+# ---------------------------------------------------------------------------
+# HTTP helpers
+# ---------------------------------------------------------------------------
+
+
+def chat_completion(url, messages, tools=None, stream=False):
+    payload = {
+        "messages": messages,
+        "stream": stream,
+        "max_tokens": 4096,
+    }
+    if tools:
+        payload["tools"] = tools
+        payload["tool_choice"] = "auto"
+
+    try:
+        response = requests.post(url, json=payload, stream=stream)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as e:
+        body = e.response.content if (e.response is not None) else b""
+        print_fail(f"Request error: {e} | body: {body}")
+        return None
+
+    full_content = ""
+    reasoning_content = ""
+    tool_calls: list[dict] = []
+
+    if stream:
+        for line in response.iter_lines():
+            if not line:
+                continue
+            decoded = line.decode("utf-8")
+            if not decoded.startswith("data: "):
+                continue
+            data_str = decoded[6:]
+            if data_str == "[DONE]":
+                break
+            try:
+                data = json.loads(data_str)
+            except json.JSONDecodeError:
+                continue
+            choices = data.get("choices", [])
+            if not choices:
+                continue
+            delta = choices[0].get("delta", {})
+            if delta.get("reasoning_content"):
+                reasoning_content += delta["reasoning_content"]
+            if delta.get("content"):
+                full_content += delta["content"]
+                print_model_output(delta["content"])
+            for tc in delta.get("tool_calls", []):
+                idx = tc.get("index", 0)
+                while len(tool_calls) <= idx:
+                    tool_calls.append(
+                        {
+                            "id": "",
+                            "type": "function",
+                            "function": {"name": "", "arguments": ""},
+                        }
+                    )
+                if "id" in tc:
+                    tool_calls[idx]["id"] += tc["id"]
+                if "function" in tc:
+                    if "name" in tc["function"]:
+                        tool_calls[idx]["function"]["name"] += tc["function"]["name"]
+                    if "arguments" in tc["function"]:
+                        tool_calls[idx]["function"]["arguments"] += tc["function"][
+                            "arguments"
+                        ]
+    else:
+        data = response.json()
+        choices = data.get("choices", [])
+        if choices:
+            msg = choices[0].get("message", {})
+            full_content = msg.get("content") or ""
+            reasoning_content = msg.get("reasoning_content") or ""
+            tool_calls = msg.get("tool_calls") or []
+            if full_content:
+                print_model_output(full_content)
+
+    result = {"content": full_content, "tool_calls": tool_calls}
+    if reasoning_content:
+        result["reasoning_content"] = reasoning_content
+    return result
+
+
+def run_agentic_loop(url, messages, tools, mock_tool_responses, stream, max_turns=6):
+    """
+    Drive the multi-turn tool-call loop, but record each turn's tool calls
+    separately so parallelism can be validated.
+
+    Returns (turns, all_tool_calls, final_content) where `turns` is a list
+    of dicts: {"index": int, "tool_calls": [...], "content": str}.
+    """
+    msgs = list(messages)
+    turns: list[dict] = []
+    all_tool_calls: list[dict] = []
+
+    for turn_idx in range(max_turns):
+        result = chat_completion(url, msgs, tools=tools, stream=stream)
+        if result is None:
+            return turns, all_tool_calls, None
+
+        tcs = result.get("tool_calls") or []
+        content = result.get("content") or ""
+
+        turns.append(
+            {"index": turn_idx, "tool_calls": list(tcs), "content": content}
+        )
+
+        if not tcs:
+            if content:
+                _print(f"\n{DIM}{'·' * 60}{RESET}")
+                _print(f"{DIM}  model response:{RESET}\n")
+            return turns, all_tool_calls, content
+
+        print_turn_banner(turn_idx, len(tcs))
+        all_tool_calls.extend(tcs)
+
+        assistant_msg: dict = {
+            "role": "assistant",
+            "content": content,
+            "tool_calls": tcs,
+        }
+        reasoning = result.get("reasoning_content")
+        if reasoning:
+            assistant_msg["reasoning_content"] = reasoning
+        msgs.append(assistant_msg)
+
+        for tc in tcs:
+            tool_name = tc["function"]["name"]
+            try:
+                args = json.loads(tc["function"]["arguments"])
+            except json.JSONDecodeError:
+                args = {}
+
+            print_tool_call(tool_name, args)
+
+            mock_fn = mock_tool_responses.get(tool_name)
+            if mock_fn:
+                tool_result = mock_fn(args)
+            else:
+                tool_result = json.dumps({"error": f"Unknown tool: {tool_name}"})
+
+            print_tool_result(tool_result)
+
+            msgs.append(
+                {
+                    "role": "tool",
+                    "tool_call_id": tc.get("id", ""),
+                    "content": tool_result,
+                }
+            )
+
+    return turns, all_tool_calls, None
+
+
+# ---------------------------------------------------------------------------
+# Parallelism helpers
+# ---------------------------------------------------------------------------
+
+
+def _best_parallel_turn(turns):
+    """Return the turn (dict) with the most tool calls, or None if no tools."""
+    tool_turns = [t for t in turns if t["tool_calls"]]
+    if not tool_turns:
+        return None
+    return max(tool_turns, key=lambda t: len(t["tool_calls"]))
+
+
+def _distinct_tool_names(turn):
+    return {tc["function"]["name"] for tc in turn["tool_calls"]}
+
+
+def _distinct_arg_values(turn, key):
+    values = set()
+    for tc in turn["tool_calls"]:
+        try:
+            args = json.loads(tc["function"]["arguments"])
+        except json.JSONDecodeError:
+            continue
+        v = args.get(key)
+        if v is not None:
+            if isinstance(v, str):
+                values.add(v.strip().lower())
+            else:
+                values.add(v)
+    return values
+
+
+def _check_parallel(turns, expected):
+    """
+    Check that at least one turn satisfies the parallel-call expectations.
+    Returns (ok, reason).
+    """
+    best = _best_parallel_turn(turns)
+    if best is None:
+        return False, "No tool calls were made at all"
+
+    min_parallel = expected.get("min_parallel", 2)
+    if len(best["tool_calls"]) < min_parallel:
+        by_turn = [len(t["tool_calls"]) for t in turns]
+        return False, (
+            f"No turn had >= {min_parallel} parallel tool calls "
+            f"(per-turn counts: {by_turn})"
+        )
+
+    require_same = expected.get("require_same_tool")
+    if require_same is not None:
+        names = [tc["function"]["name"] for tc in best["tool_calls"]]
+        if any(n != require_same for n in names):
+            return False, (
+                f"Parallel turn mixed tools; expected all {require_same!r}, got {names}"
+            )
+
+    require_distinct = expected.get("require_distinct_tools")
+    if require_distinct is not None:
+        distinct = _distinct_tool_names(best)
+        if len(distinct) < require_distinct:
+            return False, (
+                f"Parallel turn had only {len(distinct)} distinct tool names "
+                f"({distinct}); need >= {require_distinct}"
+            )
+
+    distinct_key = expected.get("min_distinct_args_key")
+    distinct_count = expected.get("min_distinct_args_count", min_parallel)
+    if distinct_key is not None:
+        values = _distinct_arg_values(best, distinct_key)
+        if len(values) < distinct_count:
+            return False, (
+                f"Parallel turn had only {len(values)} distinct {distinct_key!r} "
+                f"values ({values}); need >= {distinct_count}"
+            )
+
+    return True, (
+        f"Parallel turn had {len(best['tool_calls'])} calls across "
+        f"{len(_distinct_tool_names(best))} distinct tool(s)"
+    )
+
+
+# ---------------------------------------------------------------------------
+# Test case runner
+# ---------------------------------------------------------------------------
+
+
+def run_test(url, test_case, stream):
+    name = test_case["name"]
+    mode = f"{'stream' if stream else 'non-stream'}"
+    print_header(f"{name}  [{mode}]")
+
+    turns, all_tool_calls, final_content = run_agentic_loop(
+        url,
+        messages=test_case["messages"],
+        tools=test_case["tools"],
+        mock_tool_responses=test_case["mock_tool_responses"],
+        stream=stream,
+    )
+
+    if not turns:
+        print_fail("No response from server.")
+        return False
+
+    parallel_ok, parallel_reason = _check_parallel(turns, test_case["expected_parallel"])
+    if not parallel_ok:
+        print_fail(parallel_reason)
+        return False
+
+    passed, reason = test_case["validate"](turns, all_tool_calls, final_content)
+    if passed:
+        print_pass(f"{parallel_reason}; {reason}")
+    else:
+        print_fail(reason)
+    return passed
+
+
+# ---------------------------------------------------------------------------
+# Test case definitions
+# ---------------------------------------------------------------------------
+
+# ---- Test 1: Multi-file read (same tool, multiple distinct paths) ----
+
+_FILE_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "read_file",
+            "description": (
+                "Read the full contents of a file from the local filesystem. "
+                "Call this tool in parallel when asked to read several files — "
+                "each path needs its own call."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "path": {
+                        "type": "string",
+                        "description": "Absolute or repo-relative path to a file",
+                    },
+                },
+                "required": ["path"],
+            },
+        },
+    },
+]
+
+_FILE_CONTENTS = {
+    "config/database.yml": "host: db.internal\nport: 5432\nuser: svc_app\n",
+    "config/redis.yml":    "host: cache.internal\nport: 6379\ndb: 0\n",
+    "config/queue.yml":    "broker: rabbitmq.internal\nport: 5672\nvhost: prod\n",
+    "config/auth.yml":     "provider: oidc\nissuer: https://auth.internal\n",
+}
+
+
+def _read_file_mock(args):
+    path = args.get("path", "")
+    norm = path.lstrip("./").lstrip("/")
+    content = _FILE_CONTENTS.get(norm)
+    if content is None:
+        for k, v in _FILE_CONTENTS.items():
+            if path.endswith(k):
+                content = v
+                break
+    if content is None:
+        return json.dumps({"path": path, "error": "not found"})
+    return json.dumps({"path": path, "content": content})
+
+
+MULTIFILE_READ_TEST = {
+    "name": "Parallel multi-file read (same tool, 4 distinct paths)",
+    "tools": _FILE_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "Please read all four of these config files so I can review them "
+                "together: config/database.yml, config/redis.yml, config/queue.yml, "
+                "and config/auth.yml. Call read_file for every path in parallel in "
+                "a single batch — do NOT read them one by one sequentially across "
+                "turns. After you have all four, give me a one-line summary of each."
+            ),
+        }
+    ],
+    "mock_tool_responses": {"read_file": _read_file_mock},
+    "expected_parallel": {
+        "min_parallel": 4,
+        "require_same_tool": "read_file",
+        "min_distinct_args_key": "path",
+        "min_distinct_args_count": 4,
+    },
+    "validate": lambda turns, tcs, content: _validate_multifile(turns, tcs, content),
+}
+
+
+def _validate_multifile(turns, tcs, content):
+    del turns
+    if not content:
+        return False, "No final summary produced"
+    return True, f"{len(tcs)} total read_file calls; content length={len(content)}"
+
+
+# ---- Test 2: Batch TODO marking (same tool, N calls in one turn) ----
+
+_TODO_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "mark_todo_complete",
+            "description": (
+                "Mark a single TODO item as complete by ID. When the user wants "
+                "several items marked at once, call this tool in parallel — "
+                "one call per item — rather than sequentially across turns."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "todo_id": {
+                        "type": "string",
+                        "description": "Identifier of the TODO item",
+                    },
+                    "note": {
+                        "type": "string",
+                        "description": "Optional completion note",
+                    },
+                },
+                "required": ["todo_id"],
+            },
+        },
+    },
+]
+
+_TODO_DB = {
+    "T-101": "Draft onboarding doc",
+    "T-102": "Update dependency lockfile",
+    "T-103": "Fix flaky login test",
+    "T-104": "Rotate service credentials",
+    "T-105": "Archive Q4 reports",
+}
+
+
+def _mark_todo_mock(args):
+    tid = args.get("todo_id", "")
+    if tid in _TODO_DB:
+        return json.dumps({"todo_id": tid, "title": _TODO_DB[tid], "status": "done"})
+    return json.dumps({"todo_id": tid, "error": "unknown id"})
+
+
+TODO_BATCH_TEST = {
+    "name": "Batch TODO completion (same tool, 5 IDs in one turn)",
+    "tools": _TODO_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I finished every item on today's list. Please mark all of the "
+                "following TODOs as complete, in one parallel batch: T-101, T-102, "
+                "T-103, T-104, T-105. Don't mark them one at a time across separate "
+                "turns — issue all five mark_todo_complete calls at once. Afterwards "
+                "confirm which ones succeeded."
+            ),
+        }
+    ],
+    "mock_tool_responses": {"mark_todo_complete": _mark_todo_mock},
+    "expected_parallel": {
+        "min_parallel": 5,
+        "require_same_tool": "mark_todo_complete",
+        "min_distinct_args_key": "todo_id",
+        "min_distinct_args_count": 5,
+    },
+    "validate": lambda turns, tcs, content: _validate_todo(turns, tcs, content),
+}
+
+
+def _validate_todo(turns, tcs, content):
+    del turns
+    if not content:
+        return False, "No confirmation summary produced"
+    return True, f"{len(tcs)} total mark_todo_complete calls"
+
+
+# ---- Test 3: Multi-city weather (same tool, N parallel locations) ----
+
+_WEATHER_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_weather",
+            "description": (
+                "Fetch current weather for ONE city. When the user asks about "
+                "several cities, call this tool in parallel — one call per city — "
+                "instead of sequentially."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "city":  {"type": "string", "description": "City name"},
+                    "units": {
+                        "type": "string",
+                        "enum": ["metric", "imperial"],
+                        "default": "metric",
+                    },
+                },
+                "required": ["city"],
+            },
+        },
+    },
+]
+
+_WEATHER_DB = {
+    "tokyo":  {"city": "Tokyo",  "temp_c": 18.4, "condition": "partly cloudy", "humidity": 64},
+    "london": {"city": "London", "temp_c":  9.1, "condition": "overcast",       "humidity": 81},
+    "new york": {"city": "New York", "temp_c": 12.7, "condition": "clear",      "humidity": 55},
+    "paris":  {"city": "Paris",  "temp_c": 11.3, "condition": "light rain",     "humidity": 78},
+}
+
+
+def _weather_mock(args):
+    city = args.get("city", "").strip().lower()
+    if city.startswith("new york"):
+        city = "new york"
+    if city in _WEATHER_DB:
+        return json.dumps(_WEATHER_DB[city])
+    return json.dumps({"city": args.get("city", ""), "error": "unknown city"})
+
+
+MULTI_WEATHER_TEST = {
+    "name": "Parallel multi-city weather (same tool, 4 cities)",
+    "tools": _WEATHER_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I'm comparing today's weather across four cities for a travel "
+                "decision: Tokyo, London, New York, and Paris. Please call "
+                "get_weather for all four in parallel in a single turn — don't "
+                "fetch them one at a time. Then rank them from warmest to coolest."
+            ),
+        }
+    ],
+    "mock_tool_responses": {"get_weather": _weather_mock},
+    "expected_parallel": {
+        "min_parallel": 4,
+        "require_same_tool": "get_weather",
+        "min_distinct_args_key": "city",
+        "min_distinct_args_count": 4,
+    },
+    "validate": lambda turns, tcs, content: _validate_weather(turns, tcs, content),
+}
+
+
+def _validate_weather(turns, tcs, content):
+    del turns
+    if not content or not any(
+        kw in content.lower() for kw in ("warmest", "rank", "hot", "cool")
+    ):
+        return False, f"Final content missing a ranking: {content!r}"
+    return True, f"{len(tcs)} total get_weather calls; ranking produced"
+
+
+# ---- Test 4: Trip planning (different tools, parallel in one turn) ----
+
+_TRIP_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "search_flights",
+            "description": "Search one-way flights between two airports on a given date.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "from_airport": {"type": "string", "description": "IATA code, e.g. SFO"},
+                    "to_airport":   {"type": "string", "description": "IATA code, e.g. JFK"},
+                    "date":         {"type": "string", "description": "YYYY-MM-DD"},
+                },
+                "required": ["from_airport", "to_airport", "date"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "search_hotels",
+            "description": "Search hotels in a city for a date range.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "city":       {"type": "string"},
+                    "check_in":   {"type": "string", "description": "YYYY-MM-DD"},
+                    "check_out":  {"type": "string", "description": "YYYY-MM-DD"},
+                    "max_price":  {"type": "integer"},
+                },
+                "required": ["city", "check_in", "check_out"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "search_restaurants",
+            "description": "Search restaurants in a city by cuisine.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "city":    {"type": "string"},
+                    "cuisine": {"type": "string"},
+                },
+                "required": ["city"],
+            },
+        },
+    },
+]
+
+_FLIGHTS_RESULT = {
+    "results": [
+        {"flight": "UA 1552", "depart": "08:15", "arrive": "16:45", "price": 389},
+        {"flight": "AA  20",  "depart": "10:00", "arrive": "18:35", "price": 412},
+    ]
+}
+_HOTELS_RESULT = {
+    "results": [
+        {"name": "Midtown Grand",    "nightly_rate": 245, "rating": 4.3},
+        {"name": "Harbour Boutique", "nightly_rate": 312, "rating": 4.6},
+    ]
+}
+_RESTAURANTS_RESULT = {
+    "results": [
+        {"name": "Trattoria Nona", "cuisine": "italian", "rating": 4.5},
+        {"name": "Osteria Blu",    "cuisine": "italian", "rating": 4.4},
+    ]
+}
+
+TRIP_PLAN_TEST = {
+    "name": "Trip planning (3 different tools in parallel)",
+    "tools": _TRIP_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I'm flying from SFO to JFK on 2026-06-12 and staying four nights "
+                "(check out 2026-06-16). I'd also like some Italian restaurant "
+                "suggestions in New York. Please call search_flights, search_hotels, "
+                "and search_restaurants in parallel — all three in a single turn, "
+                "since they don't depend on each other. Then give me a concise "
+                "travel summary."
+            ),
+        }
+    ],
+    "mock_tool_responses": {
+        "search_flights": lambda _: json.dumps(_FLIGHTS_RESULT),
+        "search_hotels": lambda _: json.dumps(_HOTELS_RESULT),
+        "search_restaurants": lambda _: json.dumps(_RESTAURANTS_RESULT),
+    },
+    "expected_parallel": {
+        "min_parallel": 3,
+        "require_distinct_tools": 3,
+    },
+    "validate": lambda turns, tcs, content: _validate_trip(turns, tcs, content),
+}
+
+
+def _validate_trip(turns, tcs, content):
+    del turns
+    names = {tc["function"]["name"] for tc in tcs}
+    required = {"search_flights", "search_hotels", "search_restaurants"}
+    missing = required - names
+    if missing:
+        return False, f"Missing tool calls: {missing}"
+    if not content:
+        return False, "No travel summary produced"
+    return True, f"All three tools called; summary length={len(content)}"
+
+
+# ---- Test 5: Portfolio check (same tool, parallel tickers) ----
+
+_STOCK_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_stock_quote",
+            "description": (
+                "Get the latest quote for ONE ticker. When the user asks about "
+                "multiple tickers, call this tool in parallel — one per symbol — "
+                "rather than sequentially."
+            ),
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "symbol": {"type": "string", "description": "Ticker symbol"},
+                },
+                "required": ["symbol"],
+            },
+        },
+    },
+]
+
+_STOCK_DB = {
+    "AAPL": {"symbol": "AAPL", "price": 218.45, "change_pct": "+0.8%"},
+    "MSFT": {"symbol": "MSFT", "price": 421.10, "change_pct": "+1.2%"},
+    "GOOGL":{"symbol": "GOOGL","price": 175.22, "change_pct": "-0.3%"},
+    "AMZN": {"symbol": "AMZN", "price": 189.76, "change_pct": "+0.5%"},
+    "NVDA": {"symbol": "NVDA", "price": 140.88, "change_pct": "+2.4%"},
+}
+
+
+def _stock_mock(args):
+    sym = args.get("symbol", "").strip().upper()
+    if sym in _STOCK_DB:
+        return json.dumps(_STOCK_DB[sym])
+    return json.dumps({"symbol": sym, "error": "unknown ticker"})
+
+
+PORTFOLIO_TEST = {
+    "name": "Portfolio check (same tool, 5 tickers in parallel)",
+    "tools": _STOCK_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "Pull the latest quote for every ticker in my portfolio — AAPL, "
+                "MSFT, GOOGL, AMZN, and NVDA — in a single parallel batch. These "
+                "lookups are independent, so please don't chain them across turns. "
+                "Once you have all five, tell me which ticker had the biggest "
+                "percentage change today."
+            ),
+        }
+    ],
+    "mock_tool_responses": {"get_stock_quote": _stock_mock},
+    "expected_parallel": {
+        "min_parallel": 5,
+        "require_same_tool": "get_stock_quote",
+        "min_distinct_args_key": "symbol",
+        "min_distinct_args_count": 5,
+    },
+    "validate": lambda turns, tcs, content: _validate_portfolio(turns, tcs, content),
+}
+
+
+def _validate_portfolio(turns, tcs, content):
+    del turns
+    if not content or ("nvda" not in content.lower() and "NVDA" not in content):
+        return False, f"Expected NVDA to be identified as the biggest mover: {content!r}"
+    return True, f"{len(tcs)} total quotes pulled"
+
+
+# ---- Test 6: Mixed — translate + dictionary in parallel for the same word ----
+
+_LANG_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "translate_text",
+            "description": "Translate a short text into a target language.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "text":            {"type": "string"},
+                    "target_language": {"type": "string",
+                                        "description": "ISO 639-1 language code, e.g. 'es'"},
+                },
+                "required": ["text", "target_language"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_definition",
+            "description": "Get the English dictionary definition of a word.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "word": {"type": "string"},
+                },
+                "required": ["word"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_synonyms",
+            "description": "Get English synonyms for a word.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "word": {"type": "string"},
+                },
+                "required": ["word"],
+            },
+        },
+    },
+]
+
+
+def _translate_mock(args):
+    t = args.get("text", "")
+    lang = args.get("target_language", "")
+    return json.dumps({"source": t, "target_language": lang, "translation": f"[{lang}] {t}"})
+
+
+def _definition_mock(args):
+    w = args.get("word", "")
+    return json.dumps({
+        "word": w,
+        "definition": f"A standard dictionary definition of {w!r}.",
+    })
+
+
+def _synonyms_mock(args):
+    w = args.get("word", "")
+    return json.dumps({
+        "word": w,
+        "synonyms": ["synonym_a", "synonym_b", "synonym_c"],
+    })
+
+
+LANG_TOOLKIT_TEST = {
+    "name": "Language toolkit (translate + definition + synonyms in parallel)",
+    "tools": _LANG_TOOLS,
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "For the English word 'resilient', I need three independent "
+                "look-ups at once: (a) translate it into Spanish, (b) fetch its "
+                "dictionary definition, and (c) list its synonyms. These three "
+                "calls don't depend on each other — please issue them in parallel "
+                "in a single turn. Then present the combined results as a short "
+                "language note."
+            ),
+        }
+    ],
+    "mock_tool_responses": {
+        "translate_text":  _translate_mock,
+        "get_definition":  _definition_mock,
+        "get_synonyms":    _synonyms_mock,
+    },
+    "expected_parallel": {
+        "min_parallel": 3,
+        "require_distinct_tools": 3,
+    },
+    "validate": lambda turns, tcs, content: _validate_lang(turns, tcs, content),
+}
+
+
+def _validate_lang(turns, tcs, content):
+    del turns
+    names = {tc["function"]["name"] for tc in tcs}
+    required = {"translate_text", "get_definition", "get_synonyms"}
+    missing = required - names
+    if missing:
+        return False, f"Missing tool calls: {missing}"
+    if not content:
+        return False, "No language note produced"
+    return True, f"All three lookup tools called; note length={len(content)}"
+
+
+# ---------------------------------------------------------------------------
+# All test cases
+# ---------------------------------------------------------------------------
+
+ALL_TEST_CASES = [
+    MULTIFILE_READ_TEST,
+    TODO_BATCH_TEST,
+    MULTI_WEATHER_TEST,
+    TRIP_PLAN_TEST,
+    PORTFOLIO_TEST,
+    LANG_TOOLKIT_TEST,
+]
+
+
+# ---------------------------------------------------------------------------
+# Entry point
+# ---------------------------------------------------------------------------
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description=(
+            "Test llama-server parallel tool-calling capability. Run this only "
+            "against models configured for parallel tool calls — this script "
+            "does not configure that itself."
+        )
+    )
+    parser.add_argument("--host", default="localhost")
+    parser.add_argument("--port", default=8080, type=int)
+    parser.add_argument(
+        "--no-stream", action="store_true", help="Disable streaming mode tests"
+    )
+    parser.add_argument(
+        "--stream-only", action="store_true", help="Only run streaming mode tests"
+    )
+    parser.add_argument(
+        "--test",
+        help="Run only the test whose name contains this substring (case-insensitive)",
+    )
+    args = parser.parse_args()
+
+    url = f"http://{args.host}:{args.port}/v1/chat/completions"
+    print_info(f"Testing server at {url}")
+    print_warn(
+        "This script expects the target model to emit multiple tool calls in a "
+        "single assistant turn. Run it only against parallel-tool-capable models."
+    )
+
+    modes: list[bool] = []
+    if not args.stream_only:
+        modes.append(False)
+    if not args.no_stream:
+        modes.append(True)
+
+    cases: list[dict] = ALL_TEST_CASES
+    if args.test:
+        name_filter = args.test.lower()
+        cases = [c for c in cases if name_filter in str(c["name"]).lower()]
+        if not cases:
+            print_fail(f"No test cases matched '{args.test}'")
+            sys.exit(1)
+
+    total = 0
+    passed = 0
+    for stream in modes:
+        for case in cases:
+            total += 1
+            if run_test(url, case, stream=stream):
+                passed += 1
+
+    color = GREEN if passed == total else RED
+    _print(f"\n{BOLD}{color}{'─' * 60}{RESET}")
+    _print(f"{BOLD}{color}  Results: {passed}/{total} passed{RESET}")
+    _print(f"{BOLD}{color}{'─' * 60}{RESET}\n")
+    sys.exit(0 if passed == total else 1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/server-test-structured.py b/scripts/server-test-structured.py
new file mode 100755
index 000000000..da217fc46
--- /dev/null
+++ b/scripts/server-test-structured.py
@@ -0,0 +1,1040 @@
+#!/usr/bin/env python3
+"""
+Test structured output capability via chat completions endpoint.
+
+Each test case contains:
+  - response_format: OpenAI-compatible response_format specification.
+                     Both "json_schema" and "json_object" are accepted; with
+                     "json_object" a schema can be supplied via extra_body.
+  - extra_body (optional): dict of extra top-level request fields merged into
+                     the request payload (mirrors the OpenAI SDK's extra_body
+                     feature; llama.cpp reads a top-level "json_schema" here).
+  - messages: initial conversation messages
+  - tools (optional): tool definitions (for mixed tool + structured tests)
+  - mock_tool_responses (optional): dict mapping tool_name -> callable(arguments) -> str (JSON)
+  - apply_stage: "always" to apply response_format to every request,
+                 "after_tools" to run the tool loop plain, then request a
+                 structured summary in a follow-up user turn.
+  - followup (optional, for after_tools): user message appended before the
+                 final structured call.
+  - validate: callable(parsed_json, tool_calls_history, raw_content) -> (passed: bool, reason: str)
+"""
+
+import argparse
+import json
+import requests
+import sys
+from typing import Any, cast
+
+# ---------------------------------------------------------------------------
+# Color / formatting helpers
+# ---------------------------------------------------------------------------
+
+RESET = "\x1b[0m"
+BOLD = "\x1b[1m"
+DIM = "\x1b[2m"
+CYAN = "\x1b[36m"
+YELLOW = "\x1b[33m"
+GREEN = "\x1b[32m"
+RED = "\x1b[31m"
+BLUE = "\x1b[34m"
+WHITE = "\x1b[97m"
+MAGENTA = "\x1b[35m"
+
+
+def _print(text="", end="\n"):
+    sys.stdout.write(text + end)
+    sys.stdout.flush()
+
+
+def print_header(title):
+    bar = "─" * 60
+    _print(f"\n{BOLD}{CYAN}┌{bar}┐{RESET}")
+    _print(
+        f"{BOLD}{CYAN}│  {WHITE}{title}{CYAN}{' ' * max(0, 58 - len(title))}│{RESET}"
+    )
+    _print(f"{BOLD}{CYAN}└{bar}┘{RESET}")
+
+
+def print_tool_call(name, args):
+    args_str = json.dumps(args)
+    _print(
+        f"\n  {BOLD}{YELLOW}⚙ tool call{RESET}  {CYAN}{name}{RESET}{DIM}({args_str}){RESET}"
+    )
+
+
+def print_tool_result(result):
+    preview = result[:160] + ("…" if len(result) > 160 else "")
+    _print(f"  {DIM}{BLUE}↳ result{RESET}    {DIM}{preview}{RESET}")
+
+
+def print_model_output(text):
+    sys.stdout.write(text)
+    sys.stdout.flush()
+
+
+def print_pass(reason):
+    _print(f"\n{BOLD}{GREEN}✔ PASS{RESET}  {reason}")
+
+
+def print_fail(reason):
+    _print(f"\n{BOLD}{RED}✘ FAIL{RESET}  {reason}")
+
+
+def print_info(msg):
+    _print(f"{DIM}{msg}{RESET}")
+
+
+def print_schema_note(label, rf, extra_body=None):
+    kind = rf.get("type", "?")
+    name = ""
+    if kind == "json_schema":
+        name = rf.get("json_schema", {}).get("name", "")
+    elif kind == "json_object" and extra_body and "json_schema" in extra_body:
+        extra_schema = extra_body["json_schema"] or {}
+        name = extra_schema.get("title") or "extra_body.json_schema"
+    _print(f"{DIM}{MAGENTA}  ⟐ response_format [{label}]: {kind}"
+           f"{(' / ' + name) if name else ''}{RESET}")
+
+
+# ---------------------------------------------------------------------------
+# HTTP helpers
+# ---------------------------------------------------------------------------
+
+
+def chat_completion(url, messages, tools=None, response_format=None, stream=False,
+                    extra_body=None):
+    payload = {
+        "messages": messages,
+        "stream": stream,
+        "max_tokens": 8192,
+    }
+    if tools:
+        payload["tools"] = tools
+        payload["tool_choice"] = "auto"
+    if response_format is not None:
+        payload["response_format"] = response_format
+    if extra_body:
+        payload.update(extra_body)
+
+    try:
+        response = requests.post(url, json=payload, stream=stream)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as e:
+        body = e.response.content if (e.response is not None) else b""
+        print_fail(f"Request error: {e} | body: {body}")
+        return None
+
+    full_content = ""
+    reasoning_content = ""
+    tool_calls: list[dict] = []
+
+    if stream:
+        for line in response.iter_lines():
+            if not line:
+                continue
+            decoded = line.decode("utf-8")
+            if not decoded.startswith("data: "):
+                continue
+            data_str = decoded[6:]
+            if data_str == "[DONE]":
+                break
+            try:
+                data = json.loads(data_str)
+            except json.JSONDecodeError:
+                continue
+            choices = data.get("choices", [])
+            if not choices:
+                continue
+            delta = choices[0].get("delta", {})
+            if delta.get("reasoning_content"):
+                reasoning_content += delta["reasoning_content"]
+            if delta.get("content"):
+                full_content += delta["content"]
+                print_model_output(delta["content"])
+            for tc in delta.get("tool_calls", []):
+                idx = tc.get("index", 0)
+                while len(tool_calls) <= idx:
+                    tool_calls.append(
+                        {
+                            "id": "",
+                            "type": "function",
+                            "function": {"name": "", "arguments": ""},
+                        }
+                    )
+                if "id" in tc:
+                    tool_calls[idx]["id"] += tc["id"]
+                if "function" in tc:
+                    if "name" in tc["function"]:
+                        tool_calls[idx]["function"]["name"] += tc["function"]["name"]
+                    if "arguments" in tc["function"]:
+                        tool_calls[idx]["function"]["arguments"] += tc["function"][
+                            "arguments"
+                        ]
+    else:
+        data = response.json()
+        choices = data.get("choices", [])
+        if choices:
+            msg = choices[0].get("message", {})
+            full_content = msg.get("content") or ""
+            reasoning_content = msg.get("reasoning_content") or ""
+            tool_calls = msg.get("tool_calls") or []
+            if full_content:
+                print_model_output(full_content)
+
+    result = {"content": full_content, "tool_calls": tool_calls}
+    if reasoning_content:
+        result["reasoning_content"] = reasoning_content
+    return result
+
+
+def run_tool_loop(
+    url, messages, tools, mock_tool_responses, stream, response_format=None,
+    extra_body=None, max_turns=6,
+):
+    """
+    Drive the tool-call loop. If response_format is provided it is applied to
+    every request. Returns (all_tool_calls, final_messages, final_content).
+    """
+    msgs = list(messages)
+    all_tool_calls: list[dict] = []
+
+    for _ in range(max_turns):
+        result = chat_completion(
+            url, msgs, tools=tools, response_format=response_format, stream=stream,
+            extra_body=extra_body,
+        )
+        if result is None:
+            return all_tool_calls, msgs, None
+
+        tcs = result.get("tool_calls") or []
+        content = result.get("content") or ""
+
+        if not tcs:
+            if content:
+                _print(f"\n{DIM}{'·' * 60}{RESET}")
+            return all_tool_calls, msgs, content
+
+        all_tool_calls.extend(tcs)
+
+        assistant_msg: dict = {
+            "role": "assistant",
+            "content": content,
+            "tool_calls": tcs,
+        }
+        reasoning = result.get("reasoning_content")
+        if reasoning:
+            assistant_msg["reasoning_content"] = reasoning
+        msgs.append(assistant_msg)
+
+        for tc in tcs:
+            tool_name = tc["function"]["name"]
+            try:
+                args = json.loads(tc["function"]["arguments"])
+            except json.JSONDecodeError:
+                args = {}
+
+            print_tool_call(tool_name, args)
+
+            mock_fn = mock_tool_responses.get(tool_name) if mock_tool_responses else None
+            if mock_fn:
+                tool_result = mock_fn(args)
+            else:
+                tool_result = json.dumps({"error": f"Unknown tool: {tool_name}"})
+
+            print_tool_result(tool_result)
+
+            msgs.append(
+                {
+                    "role": "tool",
+                    "tool_call_id": tc.get("id", ""),
+                    "content": tool_result,
+                }
+            )
+
+    return all_tool_calls, msgs, None
+
+
+# ---------------------------------------------------------------------------
+# Test case runner
+# ---------------------------------------------------------------------------
+
+
+def _try_parse_json(text):
+    """Attempt to parse text as JSON, trimming common markdown fences."""
+    if text is None:
+        return None
+    stripped = text.strip()
+    if stripped.startswith("```"):
+        lines = stripped.splitlines()
+        if lines and lines[0].startswith("```"):
+            lines = lines[1:]
+        if lines and lines[-1].strip().startswith("```"):
+            lines = lines[:-1]
+        stripped = "\n".join(lines).strip()
+    try:
+        return json.loads(stripped)
+    except json.JSONDecodeError:
+        return None
+
+
+def run_test(url, test_case, stream):
+    name = test_case["name"]
+    mode = f"{'stream' if stream else 'non-stream'}"
+    apply_stage = test_case.get("apply_stage", "always")
+    print_header(f"{name}  [{mode}] ({apply_stage})")
+
+    response_format = test_case["response_format"]
+    extra_body = test_case.get("extra_body")
+    print_schema_note(apply_stage, response_format, extra_body)
+
+    tools = test_case.get("tools")
+    mocks = test_case.get("mock_tool_responses") or {}
+
+    all_tcs: list[dict] = []
+    final_content = None
+
+    if apply_stage == "always":
+        all_tcs, _msgs, final_content = run_tool_loop(
+            url,
+            messages=list(test_case["messages"]),
+            tools=tools,
+            mock_tool_responses=mocks,
+            stream=stream,
+            response_format=response_format,
+            extra_body=extra_body,
+        )
+    elif apply_stage == "after_tools":
+        # Phase 1: plain tool loop, no response_format applied yet.
+        all_tcs, msgs, interim_content = run_tool_loop(
+            url,
+            messages=list(test_case["messages"]),
+            tools=tools,
+            mock_tool_responses=mocks,
+            stream=stream,
+            response_format=None,
+        )
+        if interim_content:
+            msgs.append({"role": "assistant", "content": interim_content})
+        followup = test_case.get(
+            "followup",
+            "Now output the answer strictly as JSON matching the provided schema. "
+            "Do not include commentary.",
+        )
+        msgs.append({"role": "user", "content": followup})
+
+        # Phase 2: request final structured output. Tools are not passed so the
+        # model focuses on producing the schema-constrained answer.
+        _print(f"\n{DIM}{MAGENTA}  ⟐ follow-up turn with response_format applied{RESET}")
+        result = chat_completion(
+            url, msgs, tools=None, response_format=response_format, stream=stream,
+            extra_body=extra_body,
+        )
+        final_content = result["content"] if result else None
+    else:
+        print_fail(f"Unknown apply_stage: {apply_stage}")
+        return False
+
+    if final_content is None:
+        print_fail("No final content from server.")
+        return False
+
+    parsed = _try_parse_json(final_content)
+    if parsed is None:
+        print_fail(f"Final content is not valid JSON: {final_content[:200]!r}")
+        return False
+
+    passed, reason = test_case["validate"](parsed, all_tcs, final_content)
+    if passed:
+        print_pass(reason)
+    else:
+        print_fail(reason)
+    return passed
+
+
+# ---------------------------------------------------------------------------
+# Test case definitions
+# ---------------------------------------------------------------------------
+
+# ---- Test 1: Book metadata extraction (always / json_schema) ----
+
+_BOOK_SCHEMA = {
+    "type": "json_schema",
+    "json_schema": {
+        "name": "book_metadata",
+        "strict": True,
+        "schema": {
+            "type": "object",
+            "additionalProperties": False,
+            "properties": {
+                "title": {"type": "string"},
+                "author": {"type": "string"},
+                "year": {"type": "integer"},
+                "genre": {
+                    "type": "string",
+                    "enum": [
+                        "fiction",
+                        "non-fiction",
+                        "fantasy",
+                        "sci-fi",
+                        "mystery",
+                        "biography",
+                        "history",
+                        "other",
+                    ],
+                },
+                "page_count": {"type": "integer"},
+            },
+            "required": ["title", "author", "year", "genre", "page_count"],
+        },
+    },
+}
+
+BOOK_TEST_CASE = {
+    "name": "Book metadata extraction (json_schema, always)",
+    "response_format": _BOOK_SCHEMA,
+    "apply_stage": "always",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "Extract book metadata from this description: "
+                "'Dune is a 1965 science fiction epic by Frank Herbert, spanning roughly "
+                "688 pages in its first edition, set on the desert planet Arrakis.' "
+                "Return the data as JSON."
+            ),
+        }
+    ],
+    "validate": lambda parsed, tcs, raw: _validate_book(parsed),
+}
+
+
+def _validate_book(parsed):
+    required = {"title", "author", "year", "genre", "page_count"}
+    missing = required - parsed.keys()
+    if missing:
+        return False, f"Missing fields: {missing}"
+    if not isinstance(parsed["title"], str) or not parsed["title"]:
+        return False, "title must be a non-empty string"
+    if not isinstance(parsed["author"], str) or "herbert" not in parsed["author"].lower():
+        return False, f"author unexpected: {parsed['author']!r}"
+    if not isinstance(parsed["year"], int) or parsed["year"] != 1965:
+        return False, f"year should be 1965, got {parsed['year']!r}"
+    if parsed["genre"] not in {
+        "fiction", "non-fiction", "fantasy", "sci-fi", "mystery",
+        "biography", "history", "other",
+    }:
+        return False, f"genre not in enum: {parsed['genre']!r}"
+    if not isinstance(parsed["page_count"], int) or parsed["page_count"] <= 0:
+        return False, f"page_count should be positive int: {parsed['page_count']!r}"
+    return True, f"Book: {parsed['title']} ({parsed['year']}) / {parsed['genre']}"
+
+
+# ---- Test 2: Sentiment classification (always / enum-constrained) ----
+
+_SENTIMENT_SCHEMA = {
+    "type": "json_schema",
+    "json_schema": {
+        "name": "sentiment_analysis",
+        "strict": True,
+        "schema": {
+            "type": "object",
+            "additionalProperties": False,
+            "properties": {
+                "sentiment": {
+                    "type": "string",
+                    "enum": ["positive", "negative", "neutral"],
+                },
+                "confidence": {"type": "number"},
+                "keywords": {
+                    "type": "array",
+                    "items": {"type": "string"},
+                    "minItems": 1,
+                    "maxItems": 5,
+                },
+            },
+            "required": ["sentiment", "confidence", "keywords"],
+        },
+    },
+}
+
+SENTIMENT_TEST_CASE = {
+    "name": "Sentiment analysis with enum and array",
+    "response_format": _SENTIMENT_SCHEMA,
+    "apply_stage": "always",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "Analyse the sentiment of this review and return JSON with the "
+                "detected sentiment label, a confidence score between 0 and 1, "
+                "and up to five keyword strings that drove the classification:\n\n"
+                "'This product completely exceeded my expectations. The build "
+                "quality is phenomenal, it arrived a day early, and customer "
+                "support was delightful when I had a setup question.'"
+            ),
+        }
+    ],
+    "validate": lambda parsed, tcs, raw: _validate_sentiment(parsed),
+}
+
+
+def _validate_sentiment(parsed):
+    if parsed.get("sentiment") not in {"positive", "negative", "neutral"}:
+        return False, f"sentiment not in enum: {parsed.get('sentiment')!r}"
+    if parsed["sentiment"] != "positive":
+        return False, f"expected positive sentiment, got {parsed['sentiment']}"
+    conf = parsed.get("confidence")
+    if not isinstance(conf, (int, float)) or not (0.0 <= conf <= 1.0):
+        return False, f"confidence not in [0,1]: {conf!r}"
+    kws = parsed.get("keywords")
+    if not isinstance(kws, list) or not (1 <= len(kws) <= 5):
+        return False, f"keywords length out of range: {kws!r}"
+    if not all(isinstance(k, str) and k for k in kws):
+        return False, f"keywords must be non-empty strings: {kws!r}"
+    return True, f"sentiment={parsed['sentiment']} conf={conf} kws={kws}"
+
+
+# ---- Test: json_object + extra_body.json_schema (always) ----
+#
+# Exercises the llama.cpp-specific path where the OpenAI SDK would send
+# response_format={"type": "json_object"} and tunnel the schema through
+# extra_body.json_schema (which becomes a top-level "json_schema" field on
+# the request body).
+
+_PRODUCT_JSON_OBJECT_SCHEMA = {
+    "$schema": "https://json-schema.org/draft/2020-12/schema",
+    "$id": "https://example.com/product.schema.json",
+    "title": "Product",
+    "description": "A product in the catalog",
+    "type": "object",
+}
+
+PRODUCT_JSON_OBJECT_TEST_CASE = {
+    "name": "json_object response_format with extra_body json_schema",
+    "response_format": {"type": "json_object"},
+    "extra_body": {"json_schema": _PRODUCT_JSON_OBJECT_SCHEMA},
+    "apply_stage": "always",
+    "messages": [
+        {
+            "role": "system",
+            "content": (
+                "Extract structured data from the provided text according to the "
+                "JSON schema. Return only valid JSON matching the schema exactly."
+            ),
+        },
+        {
+            "role": "user",
+            "content": "Product: Wireless Headphones, ID: 101, In Stock: Yes",
+        },
+    ],
+    "validate": lambda parsed, tcs, raw: _validate_product_json_object(parsed),
+}
+
+
+def _validate_product_json_object(parsed):
+    if not isinstance(parsed, dict):
+        return False, f"expected JSON object, got {type(parsed).__name__}: {parsed!r}"
+    if not parsed:
+        return False, f"expected non-empty object, got {parsed!r}"
+    return True, f"product object with {len(parsed)} field(s): {sorted(parsed.keys())}"
+
+
+# ---- Test 3: Nested recipe schema (always) ----
+
+_RECIPE_SCHEMA = {
+    "type": "json_schema",
+    "json_schema": {
+        "name": "recipe",
+        "strict": True,
+        "schema": {
+            "type": "object",
+            "additionalProperties": False,
+            "properties": {
+                "name": {"type": "string"},
+                "servings": {"type": "integer"},
+                "ingredients": {
+                    "type": "array",
+                    "minItems": 2,
+                    "items": {
+                        "type": "object",
+                        "additionalProperties": False,
+                        "properties": {
+                            "item": {"type": "string"},
+                            "quantity": {"type": "string"},
+                        },
+                        "required": ["item", "quantity"],
+                    },
+                },
+                "steps": {
+                    "type": "array",
+                    "minItems": 2,
+                    "items": {"type": "string"},
+                },
+                "prep_time_minutes": {"type": "integer"},
+            },
+            "required": ["name", "servings", "ingredients", "steps", "prep_time_minutes"],
+        },
+    },
+}
+
+RECIPE_TEST_CASE = {
+    "name": "Nested recipe with arrays of objects",
+    "response_format": _RECIPE_SCHEMA,
+    "apply_stage": "always",
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "Give me a simple 4-serving scrambled eggs recipe as structured JSON. "
+                "Include the recipe name, servings, ingredients (each with item and "
+                "quantity), preparation steps, and total prep time in minutes."
+            ),
+        }
+    ],
+    "validate": lambda parsed, tcs, raw: _validate_recipe(parsed),
+}
+
+
+def _validate_recipe(parsed):
+    required = {"name", "servings", "ingredients", "steps", "prep_time_minutes"}
+    missing = required - parsed.keys()
+    if missing:
+        return False, f"Missing fields: {missing}"
+    if not isinstance(parsed["name"], str) or not parsed["name"]:
+        return False, "name must be a non-empty string"
+    if not isinstance(parsed["servings"], int) or parsed["servings"] <= 0:
+        return False, f"servings must be positive int: {parsed['servings']!r}"
+    ings = parsed["ingredients"]
+    if not isinstance(ings, list) or len(ings) < 2:
+        return False, f"ingredients must be array of >=2: got {ings!r}"
+    for i, ing in enumerate(ings):
+        if not isinstance(ing, dict):
+            return False, f"ingredient[{i}] is not an object: {ing!r}"
+        ing_d = cast(dict[str, Any], ing)
+        item_val = ing_d.get("item")
+        qty_val = ing_d.get("quantity")
+        if item_val is None or qty_val is None:
+            return False, f"ingredient[{i}] missing item/quantity: {ing!r}"
+        if not isinstance(item_val, str) or not isinstance(qty_val, str):
+            return False, f"ingredient[{i}] fields must be strings: {ing!r}"
+    steps = parsed["steps"]
+    if not isinstance(steps, list) or len(steps) < 2:
+        return False, f"steps must be array of >=2 strings: got {steps!r}"
+    if not all(isinstance(s, str) and s for s in steps):
+        return False, "all steps must be non-empty strings"
+    pt = parsed["prep_time_minutes"]
+    if not isinstance(pt, int) or pt <= 0:
+        return False, f"prep_time_minutes must be positive int: {pt!r}"
+    return True, f"recipe '{parsed['name']}' with {len(ings)} ingredients, {len(steps)} steps"
+
+
+# ---- Test 4: Tool call -> structured product comparison (after_tools) ----
+
+_SHOP_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "search_products",
+            "description": "Search a product catalogue by keyword.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "query": {"type": "string"},
+                },
+                "required": ["query"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_product_details",
+            "description": "Get detailed specs for a product by ID.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "product_id": {"type": "string"},
+                },
+                "required": ["product_id"],
+            },
+        },
+    },
+]
+
+_SHOP_SEARCH_RESULT = {
+    "results": [
+        {"product_id": "LAP-001", "title": "AeroBook 13 Pro",       "price": 1399.0, "rating": 4.7},
+        {"product_id": "LAP-002", "title": "QuantumSlim 14",        "price": 1199.0, "rating": 4.4},
+        {"product_id": "LAP-003", "title": "NimbusWork Ultra 15",   "price":  999.0, "rating": 4.2},
+    ],
+}
+_SHOP_PRODUCT_DETAILS = {
+    "LAP-001": {
+        "product_id": "LAP-001",
+        "title": "AeroBook 13 Pro",
+        "cpu": "M-series 10-core",
+        "ram_gb": 16,
+        "storage_gb": 512,
+        "battery_hours": 18,
+        "weight_kg": 1.24,
+        "price": 1399.0,
+    },
+    "LAP-002": {
+        "product_id": "LAP-002",
+        "title": "QuantumSlim 14",
+        "cpu": "Core i7 12-core",
+        "ram_gb": 16,
+        "storage_gb": 512,
+        "battery_hours": 12,
+        "weight_kg": 1.35,
+        "price": 1199.0,
+    },
+    "LAP-003": {
+        "product_id": "LAP-003",
+        "title": "NimbusWork Ultra 15",
+        "cpu": "Ryzen 7 8-core",
+        "ram_gb": 16,
+        "storage_gb": 1024,
+        "battery_hours": 10,
+        "weight_kg": 1.70,
+        "price": 999.0,
+    },
+}
+
+
+def _shop_details_mock(args):
+    pid = args.get("product_id", "")
+    if pid in _SHOP_PRODUCT_DETAILS:
+        return json.dumps(_SHOP_PRODUCT_DETAILS[pid])
+    return json.dumps({"error": f"unknown product_id: {pid}"})
+
+
+_SHOP_COMPARISON_SCHEMA = {
+    "type": "json_schema",
+    "json_schema": {
+        "name": "laptop_comparison",
+        "strict": True,
+        "schema": {
+            "type": "object",
+            "additionalProperties": False,
+            "properties": {
+                "recommendation": {"type": "string"},
+                "ranked_candidates": {
+                    "type": "array",
+                    "minItems": 2,
+                    "items": {
+                        "type": "object",
+                        "additionalProperties": False,
+                        "properties": {
+                            "product_id": {"type": "string"},
+                            "title":      {"type": "string"},
+                            "score":      {"type": "number"},
+                            "reason":     {"type": "string"},
+                        },
+                        "required": ["product_id", "title", "score", "reason"],
+                    },
+                },
+            },
+            "required": ["recommendation", "ranked_candidates"],
+        },
+    },
+}
+
+SHOP_COMPARISON_TEST_CASE = {
+    "name": "Tool calls then structured laptop comparison (after_tools)",
+    "response_format": _SHOP_COMPARISON_SCHEMA,
+    "apply_stage": "after_tools",
+    "tools": _SHOP_TOOLS,
+    "mock_tool_responses": {
+        "search_products": lambda _: json.dumps(_SHOP_SEARCH_RESULT),
+        "get_product_details": _shop_details_mock,
+    },
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I need a lightweight laptop for travel. Please search the catalogue "
+                "for 'ultraportable laptop', then fetch detailed specs for at least two "
+                "of the top candidates. Once you've gathered the data I'll ask you to "
+                "produce a structured comparison."
+            ),
+        }
+    ],
+    "followup": (
+        "Thanks. Now produce the final comparison strictly as JSON matching the "
+        "laptop_comparison schema: your single best recommendation (the product_id), "
+        "and a ranked_candidates array of at least two laptops, each with "
+        "product_id, title, a numeric score, and a short reason."
+    ),
+    "validate": lambda parsed, tcs, raw: _validate_shop_comparison(parsed, tcs),
+}
+
+
+def _validate_shop_comparison(parsed, tcs):
+    names = [tc["function"]["name"] for tc in tcs]
+    if "search_products" not in names:
+        return False, f"expected search_products tool call, got {names}"
+    if "get_product_details" not in names:
+        return False, f"expected get_product_details tool call, got {names}"
+    if "recommendation" not in parsed or not isinstance(parsed["recommendation"], str):
+        return False, f"recommendation missing or not a string: {parsed!r}"
+    cands = parsed.get("ranked_candidates")
+    if not isinstance(cands, list) or len(cands) < 2:
+        return False, f"ranked_candidates must be >=2: {cands!r}"
+    valid_ids = set(_SHOP_PRODUCT_DETAILS.keys())
+    candidate_pids: list = []
+    for i, c in enumerate(cands):
+        if not isinstance(c, dict):
+            return False, f"candidate[{i}] not an object: {c!r}"
+        c_d = cast(dict[str, Any], c)
+        pid = c_d.get("product_id")
+        title = c_d.get("title")
+        score = c_d.get("score")
+        reason = c_d.get("reason")
+        for k, v in (("product_id", pid), ("title", title),
+                     ("score", score), ("reason", reason)):
+            if v is None:
+                return False, f"candidate[{i}] missing {k}: {c!r}"
+        if pid not in valid_ids:
+            return False, f"candidate[{i}].product_id not in catalogue: {pid!r}"
+        if not isinstance(score, (int, float)):
+            return False, f"candidate[{i}].score not numeric: {score!r}"
+        candidate_pids.append(pid)
+    recommendation = parsed["recommendation"]
+    if recommendation not in valid_ids and recommendation not in candidate_pids:
+        return False, f"recommendation {recommendation!r} not in candidates"
+    return True, (
+        f"tools={names}; recommended={parsed['recommendation']}; "
+        f"{len(cands)} ranked candidates"
+    )
+
+
+# ---- Test 5: Multi-step research then structured report (after_tools) ----
+
+_RESEARCH_TOOLS = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_country_stats",
+            "description": "Fetch basic statistics for a country (population, GDP, capital).",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "country": {"type": "string"},
+                },
+                "required": ["country"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "get_climate_info",
+            "description": "Fetch climate information for a country.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "country": {"type": "string"},
+                },
+                "required": ["country"],
+            },
+        },
+    },
+]
+
+_COUNTRY_STATS = {
+    "norway": {
+        "country": "Norway",
+        "capital": "Oslo",
+        "population": 5_480_000,
+        "gdp_usd_trillion": 0.48,
+        "currency": "NOK",
+    }
+}
+_CLIMATE_INFO = {
+    "norway": {
+        "country": "Norway",
+        "climate_zone": "subarctic / temperate coastal",
+        "avg_winter_temp_c": -4.5,
+        "avg_summer_temp_c": 16.0,
+        "annual_precipitation_mm": 1400,
+    }
+}
+
+
+def _country_stats_mock(args):
+    c = args.get("country", "").strip().lower()
+    if c in _COUNTRY_STATS:
+        return json.dumps(_COUNTRY_STATS[c])
+    return json.dumps({"error": f"unknown country: {c}"})
+
+
+def _climate_info_mock(args):
+    c = args.get("country", "").strip().lower()
+    if c in _CLIMATE_INFO:
+        return json.dumps(_CLIMATE_INFO[c])
+    return json.dumps({"error": f"unknown country: {c}"})
+
+
+_RESEARCH_REPORT_SCHEMA = {
+    "type": "json_schema",
+    "json_schema": {
+        "name": "country_report",
+        "strict": True,
+        "schema": {
+            "type": "object",
+            "additionalProperties": False,
+            "properties": {
+                "country": {"type": "string"},
+                "capital": {"type": "string"},
+                "population": {"type": "integer"},
+                "climate_summary": {"type": "string"},
+                "highlights": {
+                    "type": "array",
+                    "minItems": 2,
+                    "maxItems": 5,
+                    "items": {"type": "string"},
+                },
+                "suitable_for_tourism": {"type": "boolean"},
+            },
+            "required": [
+                "country", "capital", "population",
+                "climate_summary", "highlights", "suitable_for_tourism",
+            ],
+        },
+    },
+}
+
+COUNTRY_REPORT_TEST_CASE = {
+    "name": "Research pipeline then structured country report (after_tools)",
+    "response_format": _RESEARCH_REPORT_SCHEMA,
+    "apply_stage": "after_tools",
+    "tools": _RESEARCH_TOOLS,
+    "mock_tool_responses": {
+        "get_country_stats": _country_stats_mock,
+        "get_climate_info": _climate_info_mock,
+    },
+    "messages": [
+        {
+            "role": "user",
+            "content": (
+                "I'm preparing a short briefing on Norway. Please call the "
+                "get_country_stats and get_climate_info tools to gather data "
+                "first. Afterwards I'll ask for a structured summary."
+            ),
+        }
+    ],
+    "followup": (
+        "Based on the tool results, produce the briefing as JSON matching the "
+        "country_report schema. Populate every required field and provide between "
+        "two and five highlights."
+    ),
+    "validate": lambda parsed, tcs, raw: _validate_country_report(parsed, tcs),
+}
+
+
+def _validate_country_report(parsed, tcs):
+    names = [tc["function"]["name"] for tc in tcs]
+    for required_tool in ("get_country_stats", "get_climate_info"):
+        if required_tool not in names:
+            return False, f"missing tool call {required_tool!r}: got {names}"
+    required = {
+        "country", "capital", "population",
+        "climate_summary", "highlights", "suitable_for_tourism",
+    }
+    missing = required - parsed.keys()
+    if missing:
+        return False, f"missing report fields: {missing}"
+    if "norway" not in parsed["country"].lower():
+        return False, f"country should reference Norway: {parsed['country']!r}"
+    if "oslo" not in parsed["capital"].lower():
+        return False, f"capital should be Oslo: {parsed['capital']!r}"
+    if not isinstance(parsed["population"], int) or parsed["population"] < 1_000_000:
+        return False, f"population implausible: {parsed['population']!r}"
+    if not isinstance(parsed["climate_summary"], str) or not parsed["climate_summary"]:
+        return False, "climate_summary must be a non-empty string"
+    hls = parsed["highlights"]
+    if not isinstance(hls, list) or not (2 <= len(hls) <= 5):
+        return False, f"highlights length out of range: {hls!r}"
+    if not all(isinstance(h, str) and h for h in hls):
+        return False, "each highlight must be a non-empty string"
+    if not isinstance(parsed["suitable_for_tourism"], bool):
+        return False, f"suitable_for_tourism must be bool: {parsed['suitable_for_tourism']!r}"
+    return True, (
+        f"tools={names}; report for {parsed['country']} "
+        f"(pop {parsed['population']}, {len(hls)} highlights)"
+    )
+
+
+# ---------------------------------------------------------------------------
+# All test cases
+# ---------------------------------------------------------------------------
+
+ALL_TEST_CASES = [
+    BOOK_TEST_CASE,
+    SENTIMENT_TEST_CASE,
+    PRODUCT_JSON_OBJECT_TEST_CASE,
+    RECIPE_TEST_CASE,
+    SHOP_COMPARISON_TEST_CASE,
+    COUNTRY_REPORT_TEST_CASE,
+]
+
+
+# ---------------------------------------------------------------------------
+# Entry point
+# ---------------------------------------------------------------------------
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Test llama-server structured-output capability."
+    )
+    parser.add_argument("--host", default="localhost")
+    parser.add_argument("--port", default=8080, type=int)
+    parser.add_argument(
+        "--no-stream", action="store_true", help="Disable streaming mode tests"
+    )
+    parser.add_argument(
+        "--stream-only", action="store_true", help="Only run streaming mode tests"
+    )
+    parser.add_argument(
+        "--test",
+        help="Run only the test whose name contains this substring (case-insensitive)",
+    )
+    args = parser.parse_args()
+
+    url = f"http://{args.host}:{args.port}/v1/chat/completions"
+    print_info(f"Testing server at {url}")
+
+    modes: list[bool] = []
+    if not args.stream_only:
+        modes.append(False)
+    if not args.no_stream:
+        modes.append(True)
+
+    cases: list[dict] = ALL_TEST_CASES
+    if args.test:
+        name_filter = args.test.lower()
+        cases = [c for c in cases if name_filter in str(c["name"]).lower()]
+        if not cases:
+            print_fail(f"No test cases matched '{args.test}'")
+            sys.exit(1)
+
+    total = 0
+    passed = 0
+    for stream in modes:
+        for case in cases:
+            total += 1
+            if run_test(url, case, stream=stream):
+                passed += 1
+
+    color = GREEN if passed == total else RED
+    _print(f"\n{BOLD}{color}{'─' * 60}{RESET}")
+    _print(f"{BOLD}{color}  Results: {passed}/{total} passed{RESET}")
+    _print(f"{BOLD}{color}{'─' * 60}{RESET}\n")
+    sys.exit(0 if passed == total else 1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/snapdragon/adb/run-bench.sh b/scripts/snapdragon/adb/run-bench.sh
index 0eac4e1d4..27459df24 100755
--- a/scripts/snapdragon/adb/run-bench.sh
+++ b/scripts/snapdragon/adb/run-bench.sh
@@ -22,14 +22,11 @@ device="HTP0"
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 profile=
-[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1" cli_opts="$cli_opts -v"
+[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF" cli_opts="$cli_opts -v"
 
 opmask=
-[ "$OPMASK" != "" ] && opmask="GGML_HEXAGON_OPMASK=$OPMASK"
+[ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE"
 
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
@@ -46,7 +43,7 @@ adb $adbserial $adbhost shell " \
   cd $basedir;         \
   LD_LIBRARY_PATH=$basedir/$branch/lib   \
   ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $ndev $nhvx $opmask $verbose $experimental $profile $hb ./$branch/bin/llama-bench --device $device --mmap 0 -m $basedir/../gguf/$model \
+    $ndev $nhvx $opmask $verbose $profile $hb ./$branch/bin/llama-bench --device $device --mmap 0 -m $basedir/../gguf/$model \
         --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1 \
         --ubatch-size 256 -fa 1 -ngl 99 $cli_opts $@    \
 "
diff --git a/scripts/snapdragon/adb/run-cli.sh b/scripts/snapdragon/adb/run-cli.sh
index 0178034b1..3f89a7777 100755
--- a/scripts/snapdragon/adb/run-cli.sh
+++ b/scripts/snapdragon/adb/run-cli.sh
@@ -21,9 +21,6 @@ model="Llama-3.2-3B-Instruct-Q4_0.gguf"
 device="HTP0"
 [ "$D" != "" ] && device="$D"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
@@ -31,10 +28,10 @@ sched=
 [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v"
 
 profile=
-[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1" cli_opts="$cli_opts -v"
+[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF" cli_opts="$cli_opts -v"
 
 opmask=
-[ "$OPMASK" != "" ] && opmask="GGML_HEXAGON_OPMASK=$OPMASK"
+[ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE"
 
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
@@ -48,13 +45,32 @@ ndev=
 hb=
 [ "$HB" != "" ] && hb="GGML_HEXAGON_HOSTBUF=$HB"
 
+opbatch=
+[ "$OB" != "" ] && opbatch="GGML_HEXAGON_OPBATCH=$OB"
+
+opqueue=
+[ "$OQ" != "" ] && opqueue="GGML_HEXAGON_OPQUEUE=$OQ"
+
+opflt=
+[ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF"
+
+vmem=
+[ "$VM" != "" ] && opflt="GGML_HEXAGON_VMEM=$VM"
+
+mbuf=
+[ "$MB" != "" ] && opflt="GGML_HEXAGON_MBUF=$MB"
+vmem=
+[ "$VM" != "" ] && vmem="GGML_HEXAGON_VMEM=$VM"
+
+mbuf=
+[ "$MB" != "" ] && mbuf="GGML_HEXAGON_MBUF=$MB"
 set -x
 
 adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt $vmem $mbuf \
       ./$branch/bin/llama-cli --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1           \
          --ctx-size 8192 --ubatch-size 256 -fa on                  \
diff --git a/scripts/snapdragon/adb/run-completion.sh b/scripts/snapdragon/adb/run-completion.sh
index 67f58b156..638823b88 100755
--- a/scripts/snapdragon/adb/run-completion.sh
+++ b/scripts/snapdragon/adb/run-completion.sh
@@ -21,9 +21,6 @@ model="Llama-3.2-3B-Instruct-Q4_0.gguf"
 device="HTP0"
 [ "$D" != "" ] && device="$D"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V" cli_opts="$cli_opts -v"
 
@@ -31,10 +28,10 @@ sched=
 [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v"
 
 profile=
-[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1" cli_opts="$cli_opts -v"
+[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF" cli_opts="$cli_opts -v"
 
 opmask=
-[ "$OPMASK" != "" ] && opmask="GGML_HEXAGON_OPMASK=$OPMASK"
+[ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE"
 
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
@@ -48,13 +45,28 @@ ndev=
 hb=
 [ "$HB" != "" ] && hb="GGML_HEXAGON_HOSTBUF=$HB"
 
+opbatch=
+[ "$OB" != "" ] && opbatch="GGML_HEXAGON_OPBATCH=$OB"
+
+opqueue=
+[ "$OQ" != "" ] && opqueue="GGML_HEXAGON_OPQUEUE=$OQ"
+
+opflt=
+[ "$OF" != "" ] && opflt="GGML_HEXAGON_OPFILTER=$OF"
+
+vmem=
+[ "$VM" != "" ] && vmem="GGML_HEXAGON_VMEM=$VM"
+
+mbuf=
+[ "$MB" != "" ] && mbuf="GGML_HEXAGON_MBUF=$MB"
+
 set -x
 
 adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb   \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb $opbatch $opqueue $opflt $vmem $mbuf \
       ./$branch/bin/llama-completion --no-mmap -m $basedir/../gguf/$model \
          --poll 1000 -t 6 --cpu-mask 0xfc --cpu-strict 1                  \
          --ctx-size 8192 --ubatch-size 256 -fa on                         \
diff --git a/scripts/snapdragon/adb/run-mtmd.sh b/scripts/snapdragon/adb/run-mtmd.sh
index 0c1cf8928..38467beba 100755
--- a/scripts/snapdragon/adb/run-mtmd.sh
+++ b/scripts/snapdragon/adb/run-mtmd.sh
@@ -37,10 +37,10 @@ sched=
 [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v"
 
 profile=
-[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1"
+[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF"
 
 opmask=
-[ "$OPMASK" != "" ] && opmask="GGML_HEXAGON_OPMASK=$OPMASK"
+[ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE"
 
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
diff --git a/scripts/snapdragon/adb/run-tool.sh b/scripts/snapdragon/adb/run-tool.sh
index e53cacf32..27cbb2b6d 100755
--- a/scripts/snapdragon/adb/run-tool.sh
+++ b/scripts/snapdragon/adb/run-tool.sh
@@ -21,17 +21,14 @@ device="HTP0"
 verbose=
 [ "$V" != "" ] && verbose="GGML_HEXAGON_VERBOSE=$V"
 
-experimental=
-[ "$E" != "" ] && experimental="GGML_HEXAGON_EXPERIMENTAL=$E"
-
 sched=
 [ "$SCHED" != "" ] && sched="GGML_SCHED_DEBUG=2" cli_opts="$cli_opts -v"
 
 profile=
-[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF GGML_HEXAGON_OPSYNC=1"
+[ "$PROF" != "" ] && profile="GGML_HEXAGON_PROFILE=$PROF"
 
 opmask=
-[ "$OPMASK" != "" ] && opmask="GGML_HEXAGON_OPMASK=$OPMASK"
+[ "$OPSTAGE" != "" ] && opmask="GGML_HEXAGON_OPSTAGE=$OPSTAGE"
 
 nhvx=
 [ "$NHVX" != "" ] && nhvx="GGML_HEXAGON_NHVX=$NHVX"
@@ -53,5 +50,5 @@ adb $adbserial $adbhost shell " \
   cd $basedir; ulimit -c unlimited;        \
     LD_LIBRARY_PATH=$basedir/$branch/lib   \
     ADSP_LIBRARY_PATH=$basedir/$branch/lib \
-    $verbose $experimental $sched $opmask $profile $nhvx $hmx $ndev $hb ./$branch/bin/$tool $@ \
+    $verbose $sched $opmask $profile $nhvx $hmx $ndev $hb ./$branch/bin/$tool $@ \
 "
diff --git a/scripts/snapdragon/ggml-hexagon-profile.py b/scripts/snapdragon/ggml-hexagon-profile.py
new file mode 100755
index 000000000..3edaacd27
--- /dev/null
+++ b/scripts/snapdragon/ggml-hexagon-profile.py
@@ -0,0 +1,188 @@
+#!/usr/bin/env python3
+
+import sys
+import os
+import re
+import argparse
+import statistics
+import logging
+
+from collections import defaultdict
+
+# Mapping of cli-friendly names to (internal_data_key, Display Header, numeric_sort_key)
+COL_MAP = {
+    "op":         ("op",         "Op",         "op"),
+    "dims":       ("dims",       "Dims",       "dims"),
+    "dtypes":     ("dtypes",     "DTypes",     "dtypes"),
+    "count":      ("count",      "Count",      "_sort_count"),
+    "max-usec":   ("max_usec",   "Max usec",   "_sort_max_usec"),
+    "avg-usec":   ("avg_usec",   "Avg usec",   "_sort_avg_usec"),
+    "max-cycles": ("max_cycles", "Max Cycles", "_sort_max_cycles"),
+    "avg-cycles": ("avg_cycles", "Avg Cycles", "_sort_avg_cycles"),
+    "max-pmu":    ("max_pmu",    "Max PMU",    "_sort_max_pmu"),
+    "avg-pmu":    ("avg_pmu",    "Avg PMU",    "_sort_avg_pmu"),
+}
+
+op_pattern = re.compile(
+    r"profile-op\s+(?P<op_name>[A-Z_0-9]+):\s+.*?\s+:\s+(?P<dims>[\d:x\s\->!]+)\s+:\s+(?P<types>[a-z\d_\s\->x]+)\s+:\s+.*?\s+usec\s+(?P<usec>\d+)\s+cycles\s+(?P<cycles>\d+)(?:\s+pmu\s+\[(?P<pmu>[\d,\s]+)\])?"
+)
+
+logger = logging.getLogger("ggml-hexagon-profile")
+
+
+def parse_log(file_path, pmu_index=None):
+    try:
+        if file_path != "-":
+            f = open(file_path, 'r', encoding='utf-8', errors='ignore')
+        else:
+            f = os.fdopen(0, 'r', encoding='utf-8', errors='ignore')
+    except FileNotFoundError:
+        logger.error(f"file '{file_path}' not found.")
+        sys.exit(1)
+
+    all_ops = []
+    for line in f:
+        match = op_pattern.search(line)
+        if not match: continue
+
+        pmu_raw = match.group('pmu')
+        pmu_val = None
+        if pmu_raw and pmu_index is not None:
+            try:
+                pmu_list = [int(x.strip()) for x in pmu_raw.split(',')]
+                if len(pmu_list) > pmu_index:
+                    pmu_val = pmu_list[pmu_index]
+            except (ValueError, IndexError):
+                pmu_val = None
+
+        all_ops.append({
+            'name':    match.group('op_name'),
+            'dims':    match.group('dims').strip(),
+            'types':   match.group('types').strip(),
+            'usec':    int(match.group('usec')),
+            'cycles':  int(match.group('cycles')),
+            'pmu_val': pmu_val
+        })
+
+    f.close()
+
+    return all_ops
+
+
+def generate_report(ops, top_n, width_overrides, sort_col, pmu_name=None):
+    if not ops:
+        logger.info("No valid records found.")
+        return
+
+    grouped = defaultdict(list)
+    for op in ops:
+        key = (op['name'], op['dims'], op['types'])
+        grouped[key].append(op)
+
+    group_stats = []
+    for (name, dims, types), group_ops in grouped.items():
+        usecs = [o['usec'] for o in group_ops]
+        cycles = [o['cycles'] for o in group_ops]
+        pmu_vals = [o['pmu_val'] for o in group_ops if o['pmu_val'] is not None]
+
+        group_stats.append({
+            'op':               name,
+            'dims':             dims,
+            'dtypes':           types,
+            'count':            str(len(group_ops)),
+            'max_usec':         str(max(usecs)),
+            'avg_usec':         f"{statistics.mean(usecs):.2f}",
+            'max_cycles':       str(max(cycles)),
+            'avg_cycles':       f"{statistics.mean(cycles):.2f}",
+            'max_pmu':          str(max(pmu_vals)) if pmu_vals else "0",
+            'avg_pmu':          f"{statistics.mean(pmu_vals):.2f}" if pmu_vals else "0.00",
+            # Numeric values for accurate sorting
+            '_sort_count':      len(group_ops),
+            '_sort_max_usec':   max(usecs),
+            '_sort_avg_usec':   statistics.mean(usecs),
+            '_sort_max_cycles': max(cycles),
+            '_sort_avg_cycles': statistics.mean(cycles),
+            '_sort_max_pmu':    max(pmu_vals) if pmu_vals else 0,
+            '_sort_avg_pmu':    statistics.mean(pmu_vals) if pmu_vals else 0
+        })
+
+    # Sorting logic
+    actual_sort_key = COL_MAP[sort_col][2]
+    # We sort numeric fields descending, strings (op/dims) ascending
+    is_numeric    = actual_sort_key.startswith("_") or actual_sort_key == "count"
+    sorted_groups = sorted(group_stats, key=lambda x: x[actual_sort_key], reverse=is_numeric)[:top_n]
+
+    # Define initial column order
+    active_cols = ["op", "dims", "dtypes"]
+    if pmu_name:
+        active_cols += ["max-pmu", "avg-pmu"]
+    active_cols += ["max-usec", "avg-usec", "max-cycles", "avg-cycles", "count"]
+
+    final_headers, final_keys, final_widths = [], [], []
+
+    for col_name in active_cols:
+        data_key, header_text, _ = COL_MAP[col_name]
+        if "pmu" in col_name and pmu_name:
+            header_text = header_text.replace("PMU", pmu_name)
+
+        natural_width = max([len(row[data_key]) for row in sorted_groups] + [len(header_text)])
+        target_width  = width_overrides.get(col_name, natural_width)
+
+        if target_width == 0:
+            continue
+
+        final_headers.append(header_text)
+        final_keys.append(data_key)
+        final_widths.append(target_width)
+
+    # Print Report
+    logger.info(f"\n# Profile Report (Top {top_n} Ops sorted by {sort_col})\n")
+    header_line = "| " + " | ".join(f"{h:<{final_widths[i]}}" for i, h in enumerate(final_headers)) + " |"
+    sep_line    = "| " + " | ".join("-" * final_widths[i] for i in range(len(final_headers))) + " |"
+    logger.info(header_line)
+    logger.info(sep_line)
+
+    for group in sorted_groups:
+        row_vals = []
+        for i, key in enumerate(final_keys):
+            val = group[key]
+            if len(val) > final_widths[i]:
+                val = val[:final_widths[i] - 3] + "..."
+            row_vals.append(f"{val:<{final_widths[i]}}")
+        logger.info("| " + " | ".join(row_vals) + " |")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Post-process Op profile info.")
+    parser.add_argument("logfile")
+    parser.add_argument("-n", "--top", type=int, default=100)
+    parser.add_argument("--sort", type=str, default="max-usec", choices=list(COL_MAP.keys()))
+    parser.add_argument("--pmu-index", type=int)
+    parser.add_argument("--pmu-name", type=str)
+    parser.add_argument("--width", action='append', default=['dims:40'], help="Override column width, e.g. --width dims:50")
+
+    args = parser.parse_args()
+
+    logging.basicConfig(level=logging.INFO, format='%(message)s')
+
+    # Sort validation: can't sort by PMU if index isn't provided
+    if "pmu" in args.sort and args.pmu_index is None:
+        logger.error(f"Cannot sort by '{args.sort}' without --pmu-index.")
+        sys.exit(1)
+
+    overrides = {}
+    if args.width:
+        for w in args.width:
+            try:
+                name, val = w.split(':')
+                overrides[name.lower()] = int(val)
+            except ValueError:
+                logger.warning(f"Invalid width format '{w}'")
+
+    final_pmu_name = (args.pmu_name or f"#{args.pmu_index}") if args.pmu_index is not None else None
+    ops = parse_log(args.logfile, pmu_index=args.pmu_index)
+    generate_report(ops, args.top, overrides, args.sort, pmu_name=final_pmu_name)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/snapdragon/qdc/readme.md b/scripts/snapdragon/qdc/readme.md
deleted file mode 100644
index b92cf243a..000000000
--- a/scripts/snapdragon/qdc/readme.md
+++ /dev/null
@@ -1 +0,0 @@
-This directory includes pytest based scripts for running CI jobs on Qualcomm Device Cloud (QDC).
diff --git a/scripts/snapdragon/qdc/requirements.txt b/scripts/snapdragon/qdc/requirements.txt
index f04bd682e..5e0f85917 100644
--- a/scripts/snapdragon/qdc/requirements.txt
+++ b/scripts/snapdragon/qdc/requirements.txt
@@ -8,12 +8,9 @@ iniconfig==2.1.0
 outcome==1.3.0.post0
 packaging==25.0
 pluggy==1.6.0
-Pygments==2.19.2
 PySocks==1.7.1
 pytest==8.4.2
-pytest-dependency==0.6.0
 selenium==4.36.0
-setuptools==80.9.0
 sniffio==1.3.1
 sortedcontainers==2.4.0
 tomli==2.3.0
diff --git a/scripts/snapdragon/qdc/run_qdc_jobs.py b/scripts/snapdragon/qdc/run_qdc_jobs.py
new file mode 100644
index 000000000..b4eede3d0
--- /dev/null
+++ b/scripts/snapdragon/qdc/run_qdc_jobs.py
@@ -0,0 +1,401 @@
+"""Run llama.cpp Hexagon Android tests in a single QDC Appium job.
+
+Bundles test scripts into one artifact and submits a single QDC job:
+
+  1. run_bench_tests_posix.py — llama-cli and llama-bench on CPU / GPU / NPU
+                                (from scripts/snapdragon/qdc/)
+
+Results are written to $GITHUB_STEP_SUMMARY when set (GitHub Actions).
+
+Prerequisites:
+  pip install /path/to/qualcomm_device_cloud_sdk*.whl
+
+Required environment variables:
+  QDC_API_KEY   API key from QDC UI -> Users -> Settings -> API Keys
+
+Usage:
+  python run_qdc_jobs.py \\
+      --pkg-dir    pkg-snapdragon/llama.cpp \\
+      --model-url  https://.../Llama-3.2-1B-Instruct-Q4_0.gguf \\
+      --device     SM8750
+"""
+
+from __future__ import annotations
+
+import argparse
+import logging
+import os
+import re
+import shutil
+import sys
+import tempfile
+import time
+import xml.etree.ElementTree as ET
+from dataclasses import dataclass, field
+from pathlib import Path
+
+from qualcomm_device_cloud_sdk.api import qdc_api  # ty: ignore[unresolved-import]
+from qualcomm_device_cloud_sdk.logging import configure_logging  # ty: ignore[unresolved-import]
+from qualcomm_device_cloud_sdk.models import ArtifactType, JobMode, JobState, JobSubmissionParameter, JobType, TestFramework  # ty: ignore[unresolved-import]
+
+configure_logging(level=logging.INFO, handlers=[logging.StreamHandler()])
+log = logging.getLogger(__name__)
+
+POLL_INTERVAL        = 30
+JOB_TIMEOUT          = 3600
+LOG_UPLOAD_TIMEOUT   = 600
+CAPACITY_TIMEOUT     = 1800
+CAPACITY_POLL        = 60
+MAX_CONCURRENT_JOBS  = 5
+TERMINAL_STATES     = {JobState.COMPLETED, JobState.CANCELED}
+NON_TERMINAL_STATES = {JobState.DISPATCHED, JobState.RUNNING, JobState.SETUP, JobState.SUBMITTED}
+
+_SCRIPTS_DIR      = Path(__file__).parent
+_TESTS_DIR        = _SCRIPTS_DIR / "tests"
+_RUN_BENCH        = _TESTS_DIR / "run_bench_tests_posix.py"
+_RUN_BACKEND_OPS  = _TESTS_DIR / "run_backend_ops_posix.py"
+_UTILS            = _TESTS_DIR / "utils.py"
+_CONFTEST         = _TESTS_DIR / "conftest.py"
+_REQUIREMENTS     = _SCRIPTS_DIR / "requirements.txt"
+
+_PYTEST_LINE_RE = re.compile(
+    r"(?:[\w/]+\.py::)?(?:\w+::)?([\w\[\].-]+)\s+(PASSED|FAILED|ERROR|SKIPPED)"
+)
+_EXCLUDED_LOGS = {"qdc_android_whole_host-000.log", "qdc_kernel_host-000.log"}
+_NON_TERMINAL_STATE_VALUES = {s.value for s in NON_TERMINAL_STATES}
+
+
+@dataclass
+class JobResult:
+    passed: bool
+    tests: dict[str, bool] = field(default_factory=dict)
+    raw_logs: dict[str, str] = field(default_factory=dict)
+    failure_details: dict[str, str] = field(default_factory=dict)
+
+
+def build_artifact_zip(
+    pkg_dir: Path,
+    stage_dir: Path,
+    *,
+    test_mode: str = "bench",
+    model_url: str | None = None,
+) -> Path:
+    """Bundle everything into a single QDC artifact zip.
+
+    Zip structure (extracted by QDC to /qdc/appium/ on the runner):
+      llama_cpp_bundle/            installed package (adb pushed to /data/local/tmp/)
+      tests/
+        utils.py                   shared helpers (paths, run_adb_command, …)
+        conftest.py                shared pytest fixtures (driver)
+        test_bench_posix.py        bench + cli tests (<<MODEL_URL>> substituted)
+          AND/OR
+        test_backend_ops_posix.py  test-backend-ops -b HTP0
+      requirements.txt
+    """
+    shutil.copytree(pkg_dir, stage_dir / "llama_cpp_bundle")
+
+    tests_dir = stage_dir / "tests"
+    tests_dir.mkdir()
+
+    shutil.copy(_UTILS,    tests_dir / "utils.py")
+    shutil.copy(_CONFTEST, tests_dir / "conftest.py")
+
+    if test_mode in ("bench", "all"):
+        assert model_url is not None, "--model-url is required for bench/all test modes"
+        (tests_dir / "test_bench_posix.py").write_text(
+            _RUN_BENCH.read_text().replace("<<MODEL_URL>>", model_url)
+        )
+    if test_mode in ("backend-ops", "all"):
+        shutil.copy(_RUN_BACKEND_OPS, tests_dir / "test_backend_ops_posix.py")
+
+    shutil.copy(_REQUIREMENTS, stage_dir / "requirements.txt")
+    (stage_dir / "pytest.ini").write_text("[pytest]\naddopts = --junitxml=results.xml\n")
+
+    zip_base = str(stage_dir / "artifact")
+    shutil.make_archive(zip_base, "zip", stage_dir)
+    return Path(f"{zip_base}.zip")
+
+
+def wait_for_job(client, job_id: str, timeout: int) -> str:
+    elapsed = 0
+    while elapsed < timeout:
+        raw = qdc_api.get_job_status(client, job_id)
+        try:
+            status = JobState(raw)
+        except ValueError:
+            status = raw
+        if status in TERMINAL_STATES:
+            return raw.lower()
+        log.info("Job %s: %s", job_id, raw)
+        time.sleep(POLL_INTERVAL)
+        elapsed += POLL_INTERVAL
+    raise TimeoutError(f"Job {job_id} did not finish within {timeout}s")
+
+
+def wait_for_log_upload(client, job_id: str) -> None:
+    elapsed = 0
+    while elapsed <= LOG_UPLOAD_TIMEOUT:
+        status = (qdc_api.get_job_log_upload_status(client, job_id) or "").lower()
+        if status in {"completed", "failed"}:
+            return
+        log.info("Waiting for log upload (status=%s) ...", status)
+        time.sleep(POLL_INTERVAL)
+        elapsed += POLL_INTERVAL
+    log.warning("Timed out waiting for log upload after %ds", LOG_UPLOAD_TIMEOUT)
+
+
+def wait_for_capacity(client, max_jobs: int = MAX_CONCURRENT_JOBS) -> None:
+    """Block until the user's active (non-terminal) QDC job count is below max_jobs."""
+    elapsed = 0
+    while elapsed < CAPACITY_TIMEOUT:
+        jobs_page = qdc_api.get_jobs_list(client, page_number=0, page_size=50)
+        if jobs_page is None:
+            log.warning("Could not retrieve job list; proceeding without capacity check")
+            return
+        items = getattr(jobs_page, "data", []) or []
+        active = sum(1 for j in items if getattr(j, "state", None) in _NON_TERMINAL_STATE_VALUES)
+        if active < max_jobs:
+            log.info("Active QDC jobs: %d / %d — proceeding", active, max_jobs)
+            return
+        log.info("Active QDC jobs: %d / %d — waiting %ds ...", active, max_jobs, CAPACITY_POLL)
+        time.sleep(CAPACITY_POLL)
+        elapsed += CAPACITY_POLL
+    log.warning("Capacity wait timed out after %ds; proceeding anyway", CAPACITY_TIMEOUT)
+
+
+def _parse_junit_xml(content: str) -> tuple[dict[str, bool], dict[str, str]]:
+    try:
+        root = ET.fromstring(content)
+    except ET.ParseError:
+        return {}, {}
+    results: dict[str, bool] = {}
+    failures: dict[str, str] = {}
+    for tc in root.iter("testcase"):
+        name = tc.get("name", "")
+        if classname := tc.get("classname", ""):
+            name = f"{classname}.{name}"
+        failure_el = tc.find("failure")
+        if failure_el is None:
+            failure_el = tc.find("error")
+        results[name] = failure_el is None
+        if failure_el is not None:
+            parts = [failure_el.get("message", ""), failure_el.text or ""]
+            failures[name] = "\n".join(p for p in parts if p).strip()
+    return results, failures
+
+
+def _parse_pytest_output(content: str) -> dict[str, bool]:
+    results: dict[str, bool] = {}
+    for m in _PYTEST_LINE_RE.finditer(content):
+        results[m.group(1)] = m.group(2) == "PASSED"
+    return results
+
+
+def fetch_logs_and_parse_tests(
+    client, job_id: str
+) -> tuple[dict[str, bool], dict[str, str], dict[str, str]]:
+    """Returns (test_results, raw_logs, failure_details)."""
+    log_files = qdc_api.get_job_log_files(client, job_id)
+    if not log_files:
+        log.warning("No log files returned for job %s", job_id)
+        return {}, {}, {}
+
+    test_results: dict[str, bool] = {}
+    pytest_fallback: dict[str, bool] = {}
+    raw_logs: dict[str, str] = {}
+    failure_details: dict[str, str] = {}
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        for lf in log_files:
+            log.info("Downloading log file: %s", lf.filename)
+            zip_path = os.path.join(tmpdir, "log.zip")
+            qdc_api.download_job_log_files(client, lf.filename, zip_path)
+            try:
+                shutil.unpack_archive(zip_path, tmpdir, "zip")
+            except Exception as e:
+                log.warning("Could not unpack %s as zip: %s", lf.filename, e)
+
+        for root_dir, _, files in os.walk(tmpdir):
+            for fname in sorted(files):
+                fpath = os.path.join(root_dir, fname)
+                content = Path(fpath).read_text(errors="replace")
+                if fname.endswith(".xml"):
+                    results, failures = _parse_junit_xml(content)
+                    test_results.update(results)
+                    failure_details.update(failures)
+                elif fname.endswith(".log"):
+                    if fname in _EXCLUDED_LOGS:
+                        continue
+                    log.info("--- %s ---", fname)
+                    log.info("%s", content)
+                    raw_logs[fname] = content
+                    pytest_fallback.update(_parse_pytest_output(content))
+
+    return (test_results if test_results else pytest_fallback), raw_logs, failure_details
+
+
+def write_summary(result: JobResult, title: str = "QDC Test Results") -> None:
+    summary_path = os.environ.get("GITHUB_STEP_SUMMARY")
+    if not summary_path:
+        return
+
+    icon = "✅" if result.passed else "❌"
+
+    lines = [
+        f"## {title}\n",
+        f"Overall: {icon} {'PASSED' if result.passed else 'FAILED'}\n",
+    ]
+    reportable = {n: ok for n, ok in result.tests.items() if "test_install" not in n}
+    if reportable:
+        lines += ["| Test | Result |", "| ---- | ------ |"]
+        for name, ok in reportable.items():
+            lines.append(f"| `{name}` | {'✅' if ok else '❌'} |")
+        passed_n = sum(1 for v in reportable.values() if v)
+        failed_n = sum(1 for v in reportable.values() if not v)
+        lines += ["", f"**{passed_n} passed, {failed_n} failed**"]
+    else:
+        lines.append("_No per-test data available._")
+
+    failed_names = [n for n, ok in reportable.items() if not ok]
+    if failed_names:
+        lines += ["", "### Failures"]
+        for name in failed_names:
+            detail = result.failure_details.get(name)
+            if detail:
+                lines += [
+                    f"<details><summary><code>{name}</code></summary>",
+                    "",
+                    "```",
+                    detail,
+                    "```",
+                    "",
+                    "</details>",
+                ]
+
+    if result.raw_logs:
+        lines += ["", "### Raw Logs"]
+        for fname, content in sorted(result.raw_logs.items()):
+            lines += [
+                f"<details><summary>{fname}</summary>",
+                "",
+                "```",
+                content.rstrip(),
+                "```",
+                "",
+                "</details>",
+            ]
+
+    with open(summary_path, "a") as f:
+        f.write("\n".join(lines) + "\n")
+
+
+def parse_args() -> argparse.Namespace:
+    p = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+    p.add_argument("--pkg-dir",   required=True, type=Path,
+                   help="Installed llama.cpp package directory (contains bin/ and lib/)")
+    p.add_argument("--model-url",
+                   help="Direct URL to the GGUF model file (required for --test bench)")
+    p.add_argument("--device",    required=True,
+                   help="QDC chipset name, e.g. SM8750")
+    p.add_argument("--test", choices=["bench", "backend-ops", "all"], default="bench",
+                   help="Test suite to run (default: bench)")
+    p.add_argument("--job-timeout", type=int, default=JOB_TIMEOUT, metavar="SECONDS",
+                   help=f"Max seconds to wait for job completion (default: {JOB_TIMEOUT})")
+    args = p.parse_args()
+    if args.test in ("bench", "all") and not args.model_url:
+        p.error("--model-url is required when --test bench or --test all")
+    return args
+
+
+def main() -> int:
+    args = parse_args()
+
+    api_key = os.environ.get("QDC_API_KEY")
+    if not api_key:
+        log.error("QDC_API_KEY environment variable must be set")
+        return 1
+    if not args.pkg_dir.is_dir():
+        log.error("--pkg-dir %s does not exist", args.pkg_dir)
+        return 1
+
+    client = qdc_api.get_public_api_client_using_api_key(
+        api_key_header=api_key,
+        app_name_header="llama-cpp-ci",
+        on_behalf_of_header="llama-cpp-ci",
+        client_type_header="Python",
+    )
+
+    target_id = qdc_api.get_target_id(client, args.device)
+    if target_id is None:
+        log.error("Could not find QDC target for device %r", args.device)
+        return 1
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        log.info("Building artifact ...")
+        zip_path = build_artifact_zip(
+            args.pkg_dir, Path(tmpdir),
+            test_mode=args.test, model_url=args.model_url,
+        )
+        log.info("Uploading artifact (%d MB) ...", zip_path.stat().st_size // 1_000_000)
+        artifact_id = qdc_api.upload_file(client, str(zip_path), ArtifactType.TESTSCRIPT)
+
+    if artifact_id is None:
+        log.error("Artifact upload failed")
+        return 1
+
+    wait_for_capacity(client)
+
+    job_id = qdc_api.submit_job(
+        public_api_client=client,
+        target_id=target_id,
+        job_name="llama.cpp Hexagon tests",
+        external_job_id=None,
+        job_type=JobType.AUTOMATED,
+        job_mode=JobMode.APPLICATION,
+        timeout=max(1, args.job_timeout // 60),
+        test_framework=TestFramework.APPIUM,
+        entry_script=None,
+        job_artifacts=[artifact_id],
+        monkey_events=None,
+        monkey_session_timeout=None,
+        job_parameters=[JobSubmissionParameter.WIFIENABLED],
+    )
+    if job_id is None:
+        log.error("Job submission failed")
+        return 1
+    log.info("Job submitted: %s  (device=%s)", job_id, args.device)
+
+    try:
+        job_status = wait_for_job(client, job_id, timeout=args.job_timeout)
+    except TimeoutError as e:
+        log.error("%s", e)
+        write_summary(JobResult(passed=False, tests={}), title=f"QDC Job Timed Out ({args.device})")
+        return 1
+    log.info("Job %s finished: %s", job_id, job_status)
+
+    wait_for_log_upload(client, job_id)
+    tests, raw_logs, failure_details = fetch_logs_and_parse_tests(client, job_id)
+
+    passed = job_status == JobState.COMPLETED.value.lower()
+    if tests:
+        passed = passed and all(tests.values())
+    if not passed:
+        log.error("Job did not complete successfully or tests failed (status=%s)", job_status)
+
+    result = JobResult(passed=passed, tests=tests, raw_logs=raw_logs, failure_details=failure_details)
+    if args.test == "backend-ops":
+        title = f"Backend Ops — HTP0 ({args.device})"
+    elif args.test == "all":
+        title = f"QDC Tests ({args.device})"
+    else:
+        title = f"QDC Test Results ({args.device})"
+    write_summary(result, title=title)
+
+    return 0 if passed else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/scripts/snapdragon/qdc/tests/conftest.py b/scripts/snapdragon/qdc/tests/conftest.py
new file mode 100644
index 000000000..0fc5b3e5f
--- /dev/null
+++ b/scripts/snapdragon/qdc/tests/conftest.py
@@ -0,0 +1,20 @@
+"""Shared pytest fixtures for QDC on-device test runners."""
+
+import os
+
+import pytest
+from appium import webdriver
+
+from utils import options, write_qdc_log
+
+
+@pytest.fixture(scope="session", autouse=True)
+def driver():
+    return webdriver.Remote(command_executor="http://127.0.0.1:4723/wd/hub", options=options)
+
+
+def pytest_sessionfinish(session, exitstatus):
+    xml_path = getattr(session.config.option, "xmlpath", None) or "results.xml"
+    if os.path.exists(xml_path):
+        with open(xml_path) as f:
+            write_qdc_log("results.xml", f.read())
diff --git a/scripts/snapdragon/qdc/tests/run_backend_ops_posix.py b/scripts/snapdragon/qdc/tests/run_backend_ops_posix.py
new file mode 100644
index 000000000..958fc0747
--- /dev/null
+++ b/scripts/snapdragon/qdc/tests/run_backend_ops_posix.py
@@ -0,0 +1,41 @@
+"""
+On-device test-backend-ops runner for llama.cpp (HTP0 backend).
+
+Executed by QDC's Appium test framework on the QDC runner.
+The runner has ADB access to the allocated device.
+"""
+
+import os
+import sys
+
+import pytest
+
+from utils import BIN_PATH, CMD_PREFIX, push_bundle_if_needed, run_adb_command, write_qdc_log
+
+
+@pytest.fixture(scope="session", autouse=True)
+def install(driver):
+    push_bundle_if_needed(f"{BIN_PATH}/test-backend-ops")
+
+
+@pytest.mark.parametrize("type_a", ["mxfp4", "fp16", "q4_0"])
+def test_backend_ops_htp0(type_a):
+    cmd = f"{CMD_PREFIX} GGML_HEXAGON_HOSTBUF=0 GGML_HEXAGON_EXPERIMENTAL=1 {BIN_PATH}/test-backend-ops -b HTP0 -o MUL_MAT"
+    if type_a == "q4_0":
+        cmd += r' -p "^(?=.*type_a=q4_0)(?!.*type_b=f32,m=576,n=512,k=576).*$"'
+    else:
+        cmd += f" -p type_a={type_a}"
+    result = run_adb_command(
+        cmd,
+        check=False,
+    )
+    write_qdc_log(f"backend_ops_{type_a}.log", result.stdout or "")
+    assert result.returncode == 0, f"test-backend-ops type_a={type_a} failed (exit {result.returncode})"
+
+
+if __name__ == "__main__":
+    ret = pytest.main(["-s", "--junitxml=results.xml", os.path.realpath(__file__)])
+    if os.path.exists("results.xml"):
+        with open("results.xml") as f:
+            write_qdc_log("results.xml", f.read())
+    sys.exit(ret)
diff --git a/scripts/snapdragon/qdc/tests/run_bench_tests_posix.py b/scripts/snapdragon/qdc/tests/run_bench_tests_posix.py
new file mode 100644
index 000000000..44802c313
--- /dev/null
+++ b/scripts/snapdragon/qdc/tests/run_bench_tests_posix.py
@@ -0,0 +1,76 @@
+"""
+On-device bench and completion test runner for llama.cpp (CPU, GPU, NPU backends).
+
+Executed by QDC's Appium test framework on the QDC runner.
+The runner has ADB access to the allocated device.
+
+Placeholders replaced at artifact creation time by run_qdc_jobs.py:
+  <<MODEL_URL>>  Direct URL to the GGUF model file (downloaded on-device via curl)
+"""
+
+import os
+import subprocess
+import sys
+
+import pytest
+
+from utils import BIN_PATH, CMD_PREFIX, push_bundle_if_needed, run_adb_command, write_qdc_log
+
+MODEL_PATH = "/data/local/tmp/model.gguf"
+PROMPT     = "What is the capital of France?"
+CLI_OPTS   = "--batch-size 128 -n 128 -no-cnv --seed 42"
+
+
+@pytest.fixture(scope="session", autouse=True)
+def install(driver):
+    push_bundle_if_needed(f"{BIN_PATH}/llama-cli")
+
+    # Skip model download if already present
+    check = subprocess.run(
+        ["adb", "shell", f"ls {MODEL_PATH}"],
+        text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+    )
+    if check.returncode != 0:
+        run_adb_command(f'curl -L -J --output {MODEL_PATH} "<<MODEL_URL>>"')
+
+
+@pytest.mark.parametrize("device,extra_flags", [
+    pytest.param("none",      "-ctk q8_0 -ctv q8_0", id="cpu"),
+    pytest.param("GPUOpenCL", "",                     id="gpu"),
+    pytest.param("HTP0",      "-ctk q8_0 -ctv q8_0", id="npu"),
+])
+def test_llama_completion(device, extra_flags):
+    result = run_adb_command(
+        f'{CMD_PREFIX} {BIN_PATH}/llama-completion'
+        f' -m {MODEL_PATH} --device {device} -ngl 99 -t 4 {CLI_OPTS} {extra_flags} -fa on'
+        f' -p "{PROMPT}"',
+        check=False,
+    )
+    write_qdc_log(f"llama_completion_{device}.log", result.stdout or "")
+    assert result.returncode == 0, f"llama-completion {device} failed (exit {result.returncode})"
+
+
+_DEVICE_LOG_NAME = {"none": "cpu", "GPUOpenCL": "gpu", "HTP0": "htp"}
+
+
+@pytest.mark.parametrize("device", [
+    pytest.param("none",      id="cpu"),
+    pytest.param("GPUOpenCL", id="gpu"),
+    pytest.param("HTP0",      id="npu"),
+])
+def test_llama_bench(device):
+    result = run_adb_command(
+        f"{CMD_PREFIX} {BIN_PATH}/llama-bench"
+        f" -m {MODEL_PATH} --device {device} -ngl 99 --batch-size 128 -t 4 -p 128 -n 32",
+        check=False,
+    )
+    write_qdc_log(f"llama_bench_{_DEVICE_LOG_NAME[device]}.log", result.stdout or "")
+    assert result.returncode == 0, f"llama-bench {device} failed (exit {result.returncode})"
+
+
+if __name__ == "__main__":
+    ret = pytest.main(["-s", "--junitxml=results.xml", os.path.realpath(__file__)])
+    if os.path.exists("results.xml"):
+        with open("results.xml") as f:
+            write_qdc_log("results.xml", f.read())
+    sys.exit(ret)
diff --git a/scripts/snapdragon/qdc/tests/test_bench.py b/scripts/snapdragon/qdc/tests/test_bench.py
deleted file mode 100644
index 651ab5b71..000000000
--- a/scripts/snapdragon/qdc/tests/test_bench.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import pytest
-import subprocess
-import sys
-
-tmp_path='/data/local/tmp'
-pkg_path=f'{tmp_path}/llama.cpp'
-lib_path=f'{pkg_path}/lib'
-bin_path=f'{pkg_path}/bin'
-
-model='../gguf/Llama-3.2-1B-Instruct-Q4_0.gguf'
-cli_pref=f'cd {pkg_path} && LD_LIBRARY_PATH={lib_path} ADSP_LIBRARY_PATH={lib_path} {bin_path}'
-
-
-def run_cmd(cmd):
-    p = subprocess.run(cmd, text = True, stdout = subprocess.PIPE, stderr = subprocess.STDOUT)
-    sys.stdout.write(p.stdout)
-    assert(p.returncode == 0)
-
-
-@pytest.mark.dependency()
-def test_install():
-    run_cmd(['adb', 'push', 'llama.cpp', f'{tmp_path}'])
-    run_cmd(['adb', 'shell', f'chmod 755 {bin_path}/*'])
-
-
-## Basic cli tests
-def run_llama_cli(dev, opts):
-    prompt='what is the most popular cookie in the world?\nPlease provide a very brief bullet point summary.\nBegin your answer with **BEGIN**.'
-    opts = '--batch-size 128 -n 128 -no-cnv --seed 42 ' + opts
-    run_cmd(['adb', 'shell', f'{cli_pref}/llama-cli -m {model} --device {dev} -ngl 99 -t 4 {opts} -p "{prompt}"'])
-
-
-@pytest.mark.dependency(depends=['test_install'])
-def test_llama_cli_cpu():
-    run_llama_cli('none', '-ctk q8_0 -ctv q8_0 -fa on')
-
-
-@pytest.mark.dependency(depends=['test_install'])
-def test_llama_cli_gpu():
-    run_llama_cli('GPUOpenCL', '-fa on')
-
-
-@pytest.mark.dependency(depends=['test_install'])
-def test_llama_cli_npu():
-    run_llama_cli('HTP0', '-ctk q8_0 -ctv q8_0 -fa on')
-
-
-## Basic bench tests
-def run_llama_bench(dev):
-    run_cmd(['adb', 'shell', f'{cli_pref}/llama-bench -m {model} --device {dev} -ngl 99 --batch-size 128 -t 4 -p 128 -n 32'])
-
-
-@pytest.mark.dependency(depends=['test_install'])
-def test_llama_bench_cpu():
-    run_llama_bench('none')
-
-
-def test_llama_bench_gpu():
-    run_llama_bench('GPUOpenCL')
-
-
-def test_llama_bench_npu():
-    run_llama_bench('HTP0')
diff --git a/scripts/snapdragon/qdc/tests/utils.py b/scripts/snapdragon/qdc/tests/utils.py
new file mode 100644
index 000000000..00f0f1b2f
--- /dev/null
+++ b/scripts/snapdragon/qdc/tests/utils.py
@@ -0,0 +1,93 @@
+"""Shared helpers for QDC on-device test runners."""
+
+import logging
+import os
+import subprocess
+import tempfile
+
+from appium.options.common import AppiumOptions
+
+log = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# On-device paths
+# ---------------------------------------------------------------------------
+
+BUNDLE_PATH  = "/data/local/tmp/llama_cpp_bundle"
+QDC_LOGS_PATH = "/data/local/tmp/QDC_logs"
+LIB_PATH    = f"{BUNDLE_PATH}/lib"
+BIN_PATH    = f"{BUNDLE_PATH}/bin"
+ENV_PREFIX  = (
+    f"export LD_LIBRARY_PATH={LIB_PATH} && "
+    f"export ADSP_LIBRARY_PATH={LIB_PATH} && "
+    f"chmod +x {BIN_PATH}/* &&"
+)
+CMD_PREFIX  = f"cd {BUNDLE_PATH} && {ENV_PREFIX}"
+
+# ---------------------------------------------------------------------------
+# Appium session options
+# ---------------------------------------------------------------------------
+
+options = AppiumOptions()
+options.set_capability("automationName", "UiAutomator2")
+options.set_capability("platformName", "Android")
+options.set_capability("deviceName", os.getenv("ANDROID_DEVICE_VERSION"))
+
+# ---------------------------------------------------------------------------
+# ADB helpers
+# ---------------------------------------------------------------------------
+
+
+def run_adb_command(cmd: str, *, check: bool = True) -> subprocess.CompletedProcess:
+    # Append exit-code sentinel because `adb shell` doesn't reliably propagate
+    # the on-device exit code (older ADB versions always return 0).
+    raw = subprocess.run(
+        ["adb", "shell", f"{cmd}; echo __RC__:$?"],
+        text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+    )
+    stdout = raw.stdout
+    returncode = raw.returncode
+    if stdout:
+        lines = stdout.rstrip("\n").split("\n")
+        if lines and lines[-1].startswith("__RC__:"):
+            try:
+                returncode = int(lines[-1][7:])
+                stdout = "\n".join(lines[:-1]) + "\n"
+            except ValueError:
+                pass
+    log.info("%s", stdout)
+    result = subprocess.CompletedProcess(raw.args, returncode, stdout=stdout)
+    if check:
+        assert returncode == 0, f"Command failed (exit {returncode})"
+    return result
+
+
+def write_qdc_log(filename: str, content: str) -> None:
+    """Push content as a log file to QDC_LOGS_PATH on the device for QDC log collection."""
+    subprocess.run(
+        ["adb", "shell", f"mkdir -p {QDC_LOGS_PATH}"],
+        stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+    )
+    with tempfile.NamedTemporaryFile(mode="w", suffix=".log", delete=False) as f:
+        f.write(content)
+        tmp_path = f.name
+    try:
+        subprocess.run(
+            ["adb", "push", tmp_path, f"{QDC_LOGS_PATH}/{filename}"],
+            stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+        )
+    finally:
+        os.unlink(tmp_path)
+
+
+def push_bundle_if_needed(check_binary: str) -> None:
+    """Push llama_cpp_bundle to the device if check_binary is not already present."""
+    result = subprocess.run(
+        ["adb", "shell", f"ls {check_binary}"],
+        text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+    )
+    if result.returncode != 0:
+        subprocess.run(
+            ["adb", "push", "/qdc/appium/llama_cpp_bundle/", "/data/local/tmp"],
+            text=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
+        )
diff --git a/scripts/snapdragon/windows/run-bench.ps1 b/scripts/snapdragon/windows/run-bench.ps1
index 1957028d1..8bf6939d2 100644
--- a/scripts/snapdragon/windows/run-bench.ps1
+++ b/scripts/snapdragon/windows/run-bench.ps1
@@ -20,16 +20,12 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:PROF) {
-    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+    $env:GGML_HEXAGON_PROFILE=$env:PROF
 }
 
-if ($null -ne $env:OPMASK) {
-    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+if ($null -ne $env:OPSTAGE) {
+    $env:GGML_HEXAGON_OPSTAGE=$env:OPSTAGE
 }
 
 if ($null -ne $env:NHVX) {
diff --git a/scripts/snapdragon/windows/run-cli.ps1 b/scripts/snapdragon/windows/run-cli.ps1
index 668c525f5..104452f9b 100644
--- a/scripts/snapdragon/windows/run-cli.ps1
+++ b/scripts/snapdragon/windows/run-cli.ps1
@@ -20,20 +20,16 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
 
 if ($null -ne $env:PROF) {
-    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+    $env:GGML_HEXAGON_PROFILE=$env:PROF
 }
 
-if ($null -ne $env:OPMASK) {
-    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+if ($null -ne $env:OPSTAGE) {
+    $env:GGML_HEXAGON_OPSTAGE=$env:OPSTAGE
 }
 
 if ($null -ne $env:NHVX) {
diff --git a/scripts/snapdragon/windows/run-completion.ps1 b/scripts/snapdragon/windows/run-completion.ps1
index 1221330f2..5841a82fa 100644
--- a/scripts/snapdragon/windows/run-completion.ps1
+++ b/scripts/snapdragon/windows/run-completion.ps1
@@ -20,20 +20,16 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
 
 if ($null -ne $env:PROF) {
-    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+    $env:GGML_HEXAGON_PROFILE=$env:PROF
 }
 
-if ($null -ne $env:OPMASK) {
-    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+if ($null -ne $env:OPSTAGE) {
+    $env:GGML_HEXAGON_OPSTAGE=$env:OPSTAGE
 }
 
 if ($null -ne $env:NHVX) {
diff --git a/scripts/snapdragon/windows/run-mtmd.ps1 b/scripts/snapdragon/windows/run-mtmd.ps1
index f47d942f5..be8178751 100644
--- a/scripts/snapdragon/windows/run-mtmd.ps1
+++ b/scripts/snapdragon/windows/run-mtmd.ps1
@@ -29,22 +29,16 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-# Default experimental to 1
-$env:GGML_HEXAGON_EXPERIMENTAL=1
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
 
 if ($null -ne $env:PROF) {
-    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+    $env:GGML_HEXAGON_PROFILE=$env:PROF
 }
 
-if ($null -ne $env:OPMASK) {
-    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+if ($null -ne $env:OPSTAGE) {
+    $env:GGML_HEXAGON_OPSTAGE=$env:OPSTAGE
 }
 
 if ($null -ne $env:NHVX) {
diff --git a/scripts/snapdragon/windows/run-tool.ps1 b/scripts/snapdragon/windows/run-tool.ps1
index 78ccd5b21..15c880f2d 100644
--- a/scripts/snapdragon/windows/run-tool.ps1
+++ b/scripts/snapdragon/windows/run-tool.ps1
@@ -26,20 +26,16 @@ if ($null -ne $env:V) {
     $env:GGML_HEXAGON_VERBOSE=$env:V
 }
 
-if ($null -ne $env:E) {
-    $env:GGML_HEXAGON_EXPERIMENTAL=$env:E
-}
-
 if ($null -ne $env:SCHED) {
     $env:GGML_SCHED_DEBUG=$env:SCHED; $cli_opts="$cli_opts -v"
 }
 
 if ($null -ne $env:PROF) {
-    $env:GGML_HEXAGON_PROFILE=$env:PROF; $env:GGML_HEXAGON_OPSYNC=1
+    $env:GGML_HEXAGON_PROFILE=$env:PROF
 }
 
-if ($null -ne $env:OPMASK) {
-    $env:GGML_HEXAGON_OPMASK=$env:OPMASK
+if ($null -ne $env:OPSTAGE) {
+    $env:GGML_HEXAGON_OPSTAGE=$env:OPSTAGE
 }
 
 if ($null -ne $env:NHVX) {
diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last
index e154cc5c6..4c53c3837 100644
--- a/scripts/sync-ggml.last
+++ b/scripts/sync-ggml.last
@@ -1 +1 @@
-49f84a924f6ea4fc2ef73dbbd8cc4d734b54bd6d
+ac6f7b44f60fde0091f0b3d99afde48f8c99b13a
diff --git a/scripts/sync_vendor.py b/scripts/sync_vendor.py
index 3f1e74f7c..467a06608 100755
--- a/scripts/sync_vendor.py
+++ b/scripts/sync_vendor.py
@@ -5,7 +5,7 @@
 import sys
 import subprocess
 
-HTTPLIB_VERSION = "refs/tags/v0.40.0"
+HTTPLIB_VERSION = "refs/tags/v0.43.3"
 
 vendor = {
     "https://github.com/nlohmann/json/releases/latest/download/json.hpp":     "vendor/nlohmann/json.hpp",
diff --git a/scripts/wc2wt.sh b/scripts/wc2wt.sh
new file mode 100755
index 000000000..157881b45
--- /dev/null
+++ b/scripts/wc2wt.sh
@@ -0,0 +1,58 @@
+#!/usr/bin/env bash
+
+# initialize a new worktree from a branch name:
+#
+# - creates a new branch from current HEAD
+# - creates a new worktree in a parent folder, suffixed with the branch name
+#
+# sample usage:
+#   ./scripts/wc2wt.sh gg/new-feature-foo-bar
+#   ./scripts/wc2wt.sh gg/new-feature-foo-bar opencode
+#   ./scripts/wc2wt.sh gg/new-feature-foo-bar "cmake -B build && cmake --build build"
+#   ./scripts/wc2wt.sh gg/new-feature-foo-bar "bash -l"
+
+function usage() {
+    echo "usage: $0 <branch_name> [cmd]"
+    exit 1
+}
+
+# check we are in the right directory
+if [[ ! -f "scripts/wc2wt.sh" ]]; then
+    echo "error: this script must be run from the root of the repository"
+    exit 1
+fi
+
+if [[ $# -lt 1 || $# -gt 2 ]]; then
+    usage
+fi
+
+BRANCH=$1
+
+if [[ -z "$BRANCH" ]]; then
+    echo "error: branch name must not be empty"
+    exit 1
+fi
+
+dir=$(basename $(pwd))
+# sanitize branch name for directory name (replace / with -)
+dir_suffix=$(echo "$BRANCH" | tr '/' '-')
+
+git worktree add -b "$BRANCH" "../$dir-$dir_suffix" HEAD
+
+og_path=$(pwd)
+wt_path=$(cd "../$dir-$dir_suffix" && pwd)
+
+echo "git worktree created in $wt_path"
+
+cd "$wt_path"
+
+# pi agent setup in the worktree
+if [[ -f "$og_path/.pi/SYSTEM.md" && ! -f ".pi/SYSTEM.md" ]]; then
+    mkdir -p .pi
+    ln -sfn "$og_path/.pi/SYSTEM.md" .pi/SYSTEM.md
+fi
+
+if [[ $# -eq 2 ]]; then
+    echo "executing: $2"
+    eval "$2"
+fi
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index 121c21fed..7b1fcfca0 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -6,6 +6,8 @@ llama_add_compile_flags()
 
 # llama
 
+file(GLOB LLAMA_MODELS_SOURCES "models/*.cpp")
+
 add_library(llama
             ../include/llama.h
             llama.cpp
@@ -36,119 +38,7 @@ add_library(llama
             unicode-data.cpp
             unicode.cpp
             unicode.h
-            models/afmoe.cpp
-            models/apertus.cpp
-            models/arcee.cpp
-            models/arctic.cpp
-            models/arwkv7.cpp
-            models/baichuan.cpp
-            models/bailingmoe.cpp
-            models/bailingmoe2.cpp
-            models/bert.cpp
-            models/bitnet.cpp
-            models/bloom.cpp
-            models/chameleon.cpp
-            models/chatglm.cpp
-            models/codeshell.cpp
-            models/cogvlm.cpp
-            models/cohere2-iswa.cpp
-            models/command-r.cpp
-            models/dbrx.cpp
-            models/deci.cpp
-            models/deepseek.cpp
-            models/deepseek2.cpp
-            models/delta-net-base.cpp
-            models/dots1.cpp
-            models/dream.cpp
-            models/ernie4-5-moe.cpp
-            models/ernie4-5.cpp
-            models/eurobert.cpp
-            models/exaone-moe.cpp
-            models/exaone.cpp
-            models/exaone4.cpp
-            models/falcon-h1.cpp
-            models/falcon.cpp
-            models/gemma-embedding.cpp
-            models/gemma.cpp
-            models/gemma2-iswa.cpp
-            models/gemma3.cpp
-            models/gemma3n-iswa.cpp
-            models/gemma4-iswa.cpp
-            models/glm4-moe.cpp
-            models/glm4.cpp
-            models/gpt2.cpp
-            models/gptneox.cpp
-            models/granite-hybrid.cpp
-            models/granite.cpp
-            models/grok.cpp
-            models/grovemoe.cpp
-            models/hunyuan-dense.cpp
-            models/hunyuan-moe.cpp
-            models/internlm2.cpp
-            models/jais.cpp
-            models/jais2.cpp
-            models/jamba.cpp
-            models/kimi-linear.cpp
-            models/lfm2.cpp
-            models/llada-moe.cpp
-            models/llada.cpp
-            models/llama-iswa.cpp
-            models/llama.cpp
-            models/maincoder.cpp
-            models/mamba-base.cpp
-            models/mamba.cpp
-            models/mimo2-iswa.cpp
-            models/minicpm3.cpp
-            models/minimax-m2.cpp
-            models/mistral3.cpp
-            models/modern-bert.cpp
-            models/mpt.cpp
-            models/nemotron-h.cpp
-            models/nemotron.cpp
-            models/neo-bert.cpp
-            models/olmo.cpp
-            models/olmo2.cpp
-            models/olmoe.cpp
-            models/openai-moe-iswa.cpp
-            models/openelm.cpp
-            models/orion.cpp
-            models/paddleocr.cpp
-            models/pangu-embedded.cpp
-            models/phi2.cpp
-            models/phi3.cpp
-            models/plamo.cpp
-            models/plamo2.cpp
-            models/plamo3.cpp
-            models/plm.cpp
-            models/qwen.cpp
-            models/qwen2.cpp
-            models/qwen2moe.cpp
-            models/qwen2vl.cpp
-            models/qwen3.cpp
-            models/qwen35.cpp
-            models/qwen35moe.cpp
-            models/qwen3moe.cpp
-            models/qwen3next.cpp
-            models/qwen3vl-moe.cpp
-            models/qwen3vl.cpp
-            models/refact.cpp
-            models/rnd1.cpp
-            models/rwkv6-base.cpp
-            models/rwkv6.cpp
-            models/rwkv6qwen2.cpp
-            models/rwkv7-base.cpp
-            models/rwkv7.cpp
-            models/seed-oss.cpp
-            models/smallthinker.cpp
-            models/smollm3.cpp
-            models/stablelm.cpp
-            models/starcoder.cpp
-            models/starcoder2.cpp
-            models/step35-iswa.cpp
-            models/t5-dec.cpp
-            models/t5-enc.cpp
-            models/wavtokenizer-dec.cpp
-            models/xverse.cpp
+            ${LLAMA_MODELS_SOURCES}
             )
 
 set_target_properties(llama PROPERTIES
diff --git a/src/llama-arch.cpp b/src/llama-arch.cpp
index e210dcdae..59dde99e3 100644
--- a/src/llama-arch.cpp
+++ b/src/llama-arch.cpp
@@ -109,6 +109,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_ERNIE4_5_MOE,     "ernie4_5-moe"     },
     { LLM_ARCH_HUNYUAN_MOE,      "hunyuan-moe"      },
     { LLM_ARCH_HUNYUAN_DENSE,    "hunyuan-dense"    },
+    { LLM_ARCH_HUNYUAN_VL,       "hunyuan_vl"       },
     { LLM_ARCH_SMOLLM3,          "smollm3"          },
     { LLM_ARCH_OPENAI_MOE,       "gpt-oss"          },
     { LLM_ARCH_LFM2,             "lfm2"             },
@@ -231,6 +232,7 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN,       "%s.attention.sliding_window_pattern"       },
     { LLM_KV_ATTENTION_SCALE,                        "%s.attention.scale"                        },
     { LLM_KV_ATTENTION_OUTPUT_SCALE,                 "%s.attention.output_scale"                 },
+    { LLM_KV_ATTENTION_VALUE_SCALE,                  "%s.attention.value_scale"                  },
     { LLM_KV_ATTENTION_TEMPERATURE_LENGTH,           "%s.attention.temperature_length"           },
     { LLM_KV_ATTENTION_TEMPERATURE_SCALE,            "%s.attention.temperature_scale"            },
     { LLM_KV_ATTENTION_KEY_LENGTH_MLA,               "%s.attention.key_length_mla"               },
@@ -250,6 +252,7 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_ROPE_SCALE_LINEAR,              "%s.rope.scale_linear"                    },
     { LLM_KV_ROPE_SCALING_TYPE,              "%s.rope.scaling.type"                    },
     { LLM_KV_ROPE_SCALING_FACTOR,            "%s.rope.scaling.factor"                  },
+    { LLM_KV_ROPE_SCALING_ALPHA,             "%s.rope.scaling.alpha"                   },
     { LLM_KV_ROPE_SCALING_ATTN_FACTOR,       "%s.rope.scaling.attn_factor"             },
     { LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,      "%s.rope.scaling.original_context_length" },
     { LLM_KV_ROPE_SCALING_FINETUNED,         "%s.rope.scaling.finetuned"               },
@@ -547,2020 +550,6 @@ static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
     { LLM_TENSOR_INDEXER_ATTN_Q_B,                       "blk.%d.indexer.attn_q_b" },
 };
 
-static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
-    switch (arch) {
-        case LLM_ARCH_CLIP:
-            return {};
-        case LLM_ARCH_LLAMA:
-        case LLM_ARCH_REFACT:
-        case LLM_ARCH_MINICPM:
-        case LLM_ARCH_GRANITE:
-        case LLM_ARCH_GRANITE_MOE:
-        case LLM_ARCH_DECI:
-        case LLM_ARCH_MISTRAL3:
-        case LLM_ARCH_LLAMA_EMBED:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_ARCEE:
-        case LLM_ARCH_STARCODER2:
-        case LLM_ARCH_NEMOTRON:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_AFMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_LLAMA4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_BAICHUAN:
-        case LLM_ARCH_ORION:
-        case LLM_ARCH_XVERSE:
-        case LLM_ARCH_EXAONE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_FALCON:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GROK:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXP,
-                LLM_TENSOR_FFN_DOWN_EXP,
-                LLM_TENSOR_FFN_UP_EXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_ATTN_OUT_NORM,
-            };
-        case LLM_ARCH_GPT2:
-        case LLM_ARCH_STARCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GPTNEOX:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_MPT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_ACT,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_QWEN2:
-        case LLM_ARCH_QWEN2VL:
-        case LLM_ARCH_INTERNLM2:
-        case LLM_ARCH_ERNIE4_5:
-        case LLM_ARCH_PADDLEOCR:
-        case LLM_ARCH_SMOLLM3:
-        case LLM_ARCH_DREAM:
-        case LLM_ARCH_LLADA:
-        case LLM_ARCH_PANGU_EMBED:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_POS_EMBD,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-            };
-        case LLM_ARCH_NOMIC_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_NOMIC_BERT_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_NEO_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-            };
-        case LLM_ARCH_EUROBERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_MODERN_BERT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_CLS,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_CLS_NORM,
-            };
-        case LLM_ARCH_JINA_BERT_V2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_LAYER_OUT_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_CLS,
-            };
-        case LLM_ARCH_JINA_BERT_V3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_TOKEN_TYPES,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_LAYER_OUT_NORM,
-            };
-        case LLM_ARCH_BLOOM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_STABLELM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_QWEN:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_QWEN2MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_QWEN3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_QWEN3MOE:
-        case LLM_ARCH_QWEN3VLMOE:
-        case LLM_ARCH_OLMOE:
-        case LLM_ARCH_LLADA_MOE:
-        case LLM_ARCH_RND1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_QWEN3NEXT:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA_ALPHA,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN35:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_ALPHA,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN35MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_SSM_A_NOSCAN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_ALPHA,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_QWEN3VL:
-        case LLM_ARCH_CHAMELEON:
-        case LLM_ARCH_HUNYUAN_DENSE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_CLS_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHI2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHI3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PHIMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_PLAMO:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_PLAMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_SSM_DT_NORM,
-                LLM_TENSOR_SSM_B_NORM,
-                LLM_TENSOR_SSM_C_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_PLAMO3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_CODESHELL:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_MINICPM3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GEMMA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GEMMA2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA3:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA3N:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_PER_LAYER_TOKEN_EMBD,
-                LLM_TENSOR_PER_LAYER_MODEL_PROJ,
-                LLM_TENSOR_PER_LAYER_PROJ_NORM,
-                LLM_TENSOR_ALTUP_UNEMBD_PROJ,
-                LLM_TENSOR_ALTUP_PROJ,
-                LLM_TENSOR_PER_LAYER_INP_GATE,
-                LLM_TENSOR_PER_LAYER_PROJ,
-                LLM_TENSOR_PER_LAYER_POST_NORM,
-                LLM_TENSOR_ALTUP_CORRECT_COEF,
-                LLM_TENSOR_ALTUP_CORRECT_SCALE,
-                LLM_TENSOR_ALTUP_PREDICT_COEF,
-                LLM_TENSOR_ALTUP_ROUTER,
-                LLM_TENSOR_ALTUP_ROUTER_NORM,
-                LLM_TENSOR_LAUREL_L,
-                LLM_TENSOR_LAUREL_R,
-                LLM_TENSOR_LAUREL_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA4:
-            return {
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_POST_NORM_1,
-                LLM_TENSOR_FFN_POST_NORM_2,
-                LLM_TENSOR_FFN_PRE_NORM_2,
-                LLM_TENSOR_LAYER_OUT_SCALE,
-                LLM_TENSOR_PER_LAYER_TOKEN_EMBD,
-                LLM_TENSOR_PER_LAYER_MODEL_PROJ,
-                LLM_TENSOR_PER_LAYER_PROJ_NORM,
-                LLM_TENSOR_PER_LAYER_INP_GATE,
-                LLM_TENSOR_PER_LAYER_PROJ,
-                LLM_TENSOR_PER_LAYER_POST_NORM,
-            };
-        case LLM_ARCH_GEMMA_EMBEDDING:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DENSE_2_OUT,
-                LLM_TENSOR_DENSE_3_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_MAMBA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_MAMBA2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-            };
-        case LLM_ARCH_JAMBA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_X,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_DT_NORM,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_B_NORM,
-                LLM_TENSOR_SSM_C_NORM,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_FALCON_H1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_COMMAND_R:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-            };
-        case LLM_ARCH_COHERE2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_DBRX:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_OUT_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_OLMO:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_OLMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_OPENELM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_ARCTIC:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM_EXPS,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_DEEPSEEK:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_ROT_EMBD,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_DEEPSEEK2:
-        case LLM_ARCH_DEEPSEEK2OCR:
-        case LLM_ARCH_MISTRAL4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_K, // deepseek-ocr
-                LLM_TENSOR_ATTN_V, // deepseek-ocr
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_PLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_CHATGLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_GLM4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_POST_NORM,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_GLM4_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_GLM_DSA:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_INDEXER_K_NORM,
-                LLM_TENSOR_INDEXER_PROJ,
-                LLM_TENSOR_INDEXER_ATTN_K,
-                LLM_TENSOR_INDEXER_ATTN_Q_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_BITNET:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_SUB_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_SUB_NORM,
-            };
-        case LLM_ARCH_T5:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DEC_OUTPUT_NORM,
-                LLM_TENSOR_DEC_ATTN_NORM,
-                LLM_TENSOR_DEC_ATTN_Q,
-                LLM_TENSOR_DEC_ATTN_K,
-                LLM_TENSOR_DEC_ATTN_V,
-                LLM_TENSOR_DEC_ATTN_OUT,
-                LLM_TENSOR_DEC_ATTN_REL_B,
-                LLM_TENSOR_DEC_CROSS_ATTN_NORM,
-                LLM_TENSOR_DEC_CROSS_ATTN_Q,
-                LLM_TENSOR_DEC_CROSS_ATTN_K,
-                LLM_TENSOR_DEC_CROSS_ATTN_V,
-                LLM_TENSOR_DEC_CROSS_ATTN_OUT,
-                LLM_TENSOR_DEC_CROSS_ATTN_REL_B,
-                LLM_TENSOR_DEC_FFN_NORM,
-                LLM_TENSOR_DEC_FFN_GATE,
-                LLM_TENSOR_DEC_FFN_DOWN,
-                LLM_TENSOR_DEC_FFN_UP,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_ENC_ATTN_NORM,
-                LLM_TENSOR_ENC_ATTN_Q,
-                LLM_TENSOR_ENC_ATTN_K,
-                LLM_TENSOR_ENC_ATTN_V,
-                LLM_TENSOR_ENC_ATTN_OUT,
-                LLM_TENSOR_ENC_ATTN_REL_B,
-                LLM_TENSOR_ENC_FFN_NORM,
-                LLM_TENSOR_ENC_FFN_GATE,
-                LLM_TENSOR_ENC_FFN_DOWN,
-                LLM_TENSOR_ENC_FFN_UP,
-            };
-        case LLM_ARCH_T5ENCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ENC_OUTPUT_NORM,
-                LLM_TENSOR_ENC_ATTN_NORM,
-                LLM_TENSOR_ENC_ATTN_Q,
-                LLM_TENSOR_ENC_ATTN_K,
-                LLM_TENSOR_ENC_ATTN_V,
-                LLM_TENSOR_ENC_ATTN_OUT,
-                LLM_TENSOR_ENC_ATTN_REL_B,
-                LLM_TENSOR_ENC_FFN_NORM,
-                LLM_TENSOR_ENC_FFN_GATE,
-                LLM_TENSOR_ENC_FFN_DOWN,
-                LLM_TENSOR_ENC_FFN_UP,
-            };
-        case LLM_ARCH_JAIS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_JAIS2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-            };
-        case LLM_ARCH_NEMOTRON_H:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_NEMOTRON_H_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                // mamba(2) ssm layers
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                // attention layers
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                // dense FFN
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                // MoE FFN (for MoE layers)
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_FFN_LATENT_DOWN,
-                LLM_TENSOR_FFN_LATENT_UP,
-                // MoE shared expert layer
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_EXAONE4:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_POST_NORM,
-            };
-        case LLM_ARCH_EXAONE_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-            };
-        case LLM_ARCH_RWKV6:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_LERP_X,
-                LLM_TENSOR_TIME_MIX_LERP_W,
-                LLM_TENSOR_TIME_MIX_LERP_K,
-                LLM_TENSOR_TIME_MIX_LERP_V,
-                LLM_TENSOR_TIME_MIX_LERP_R,
-                LLM_TENSOR_TIME_MIX_LERP_G,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_FIRST,
-                LLM_TENSOR_TIME_MIX_DECAY,
-                LLM_TENSOR_TIME_MIX_DECAY_W1,
-                LLM_TENSOR_TIME_MIX_DECAY_W2,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_GATE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_CHANNEL_MIX_LERP_K,
-                LLM_TENSOR_CHANNEL_MIX_LERP_R,
-                LLM_TENSOR_CHANNEL_MIX_KEY,
-                LLM_TENSOR_CHANNEL_MIX_VALUE,
-                LLM_TENSOR_CHANNEL_MIX_RECEPTANCE,
-            };
-        case LLM_ARCH_RWKV6QWEN2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_LERP_X,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_FIRST,
-                LLM_TENSOR_TIME_MIX_DECAY,
-                LLM_TENSOR_TIME_MIX_DECAY_W1,
-                LLM_TENSOR_TIME_MIX_DECAY_W2,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_GATE,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_RWKV7:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_NORM_2,
-                LLM_TENSOR_TIME_MIX_W0,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_A0,
-                LLM_TENSOR_TIME_MIX_A1,
-                LLM_TENSOR_TIME_MIX_A2,
-                LLM_TENSOR_TIME_MIX_V0,
-                LLM_TENSOR_TIME_MIX_V1,
-                LLM_TENSOR_TIME_MIX_V2,
-                LLM_TENSOR_TIME_MIX_G1,
-                LLM_TENSOR_TIME_MIX_G2,
-                LLM_TENSOR_TIME_MIX_K_K,
-                LLM_TENSOR_TIME_MIX_K_A,
-                LLM_TENSOR_TIME_MIX_R_K,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_CHANNEL_MIX_LERP_K,
-                LLM_TENSOR_CHANNEL_MIX_KEY,
-                LLM_TENSOR_CHANNEL_MIX_VALUE,
-            };
-        case LLM_ARCH_ARWKV7:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_TIME_MIX_W0,
-                LLM_TENSOR_TIME_MIX_W1,
-                LLM_TENSOR_TIME_MIX_W2,
-                LLM_TENSOR_TIME_MIX_A0,
-                LLM_TENSOR_TIME_MIX_A1,
-                LLM_TENSOR_TIME_MIX_A2,
-                LLM_TENSOR_TIME_MIX_V0,
-                LLM_TENSOR_TIME_MIX_V1,
-                LLM_TENSOR_TIME_MIX_V2,
-                LLM_TENSOR_TIME_MIX_G1,
-                LLM_TENSOR_TIME_MIX_G2,
-                LLM_TENSOR_TIME_MIX_K_K,
-                LLM_TENSOR_TIME_MIX_K_A,
-                LLM_TENSOR_TIME_MIX_R_K,
-                LLM_TENSOR_TIME_MIX_LERP_FUSED,
-                LLM_TENSOR_TIME_MIX_KEY,
-                LLM_TENSOR_TIME_MIX_VALUE,
-                LLM_TENSOR_TIME_MIX_RECEPTANCE,
-                LLM_TENSOR_TIME_MIX_LN,
-                LLM_TENSOR_TIME_MIX_OUTPUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GRANITE_HYBRID:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_SSM_IN,
-                LLM_TENSOR_SSM_CONV1D,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_D,
-                LLM_TENSOR_SSM_NORM,
-                LLM_TENSOR_SSM_OUT,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_WAVTOKENIZER_DEC:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_TOKEN_EMBD_NORM,
-                LLM_TENSOR_CONV1D,
-                LLM_TENSOR_CONVNEXT_DW,
-                LLM_TENSOR_CONVNEXT_NORM,
-                LLM_TENSOR_CONVNEXT_PW1,
-                LLM_TENSOR_CONVNEXT_PW2,
-                LLM_TENSOR_CONVNEXT_GAMMA,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_POS_NET_CONV1,
-                LLM_TENSOR_POS_NET_CONV2,
-                LLM_TENSOR_POS_NET_NORM,
-                LLM_TENSOR_POS_NET_NORM1,
-                LLM_TENSOR_POS_NET_NORM2,
-                LLM_TENSOR_POS_NET_ATTN_NORM,
-                LLM_TENSOR_POS_NET_ATTN_Q,
-                LLM_TENSOR_POS_NET_ATTN_K,
-                LLM_TENSOR_POS_NET_ATTN_V,
-                LLM_TENSOR_POS_NET_ATTN_OUT,
-            };
-        case LLM_ARCH_BAILINGMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-            };
-        case LLM_ARCH_BAILINGMOE2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_NEXTN_EH_PROJ,
-                LLM_TENSOR_NEXTN_EMBED_TOKENS,
-                LLM_TENSOR_NEXTN_ENORM,
-                LLM_TENSOR_NEXTN_HNORM,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
-                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
-                LLM_TENSOR_LAYER_OUT_NORM,
-            };
-        case LLM_ARCH_DOTS1:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_INP_SHEXP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_ERNIE4_5_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_HUNYUAN_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_OPENAI_MOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_SINKS,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_LFM2:
-            return {
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SHORTCONV_CONV,
-                LLM_TENSOR_SHORTCONV_INPROJ,
-                LLM_TENSOR_SHORTCONV_OUTPROJ,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM_LFM2,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_DENSE_2_OUT,
-            };
-        case LLM_ARCH_LFM2MOE:
-            return {
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_SHORTCONV_CONV,
-                LLM_TENSOR_SHORTCONV_INPROJ,
-                LLM_TENSOR_SHORTCONV_OUTPROJ,
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM_LFM2,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_SMALLTHINKER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-            };
-        case LLM_ARCH_APERTUS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_SEED_OSS:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_POST_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_GROVEMOE:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_CHEXPS,
-                LLM_TENSOR_FFN_DOWN_CHEXPS,
-                LLM_TENSOR_FFN_UP_CHEXPS,
-            };
-        case LLM_ARCH_MINIMAX_M2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_COGVLM:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_QKV,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_VISEXP_ATTN_QKV,
-                LLM_TENSOR_VISEXP_ATTN_OUT,
-                LLM_TENSOR_VISEXP_FFN_GATE,
-                LLM_TENSOR_VISEXP_FFN_DOWN,
-                LLM_TENSOR_VISEXP_FFN_UP,
-            };
-        case LLM_ARCH_MIMO2:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_SINKS,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_STEP35:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ROPE_FACTORS_LONG,
-                LLM_TENSOR_ROPE_FACTORS_SHORT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_GATE,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-            };
-        case LLM_ARCH_GPTJ:
-        case LLM_ARCH_UNKNOWN:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-            };
-        case LLM_ARCH_MAINCODER:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_Q_NORM,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_K_NORM,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-            };
-        case LLM_ARCH_KIMI_LINEAR:
-            return {
-                LLM_TENSOR_TOKEN_EMBD,
-                LLM_TENSOR_OUTPUT_NORM,
-                LLM_TENSOR_OUTPUT,
-                LLM_TENSOR_ROPE_FREQS,
-                LLM_TENSOR_ATTN_NORM,
-                LLM_TENSOR_ATTN_Q,
-                LLM_TENSOR_ATTN_K,
-                LLM_TENSOR_ATTN_V,
-                LLM_TENSOR_ATTN_OUT,
-                LLM_TENSOR_FFN_NORM,
-                // Dense FFN (layer 0 only)
-                LLM_TENSOR_FFN_GATE,
-                LLM_TENSOR_FFN_DOWN,
-                LLM_TENSOR_FFN_UP,
-                // MoE FFN (layers 1+)
-                LLM_TENSOR_FFN_GATE_INP,
-                LLM_TENSOR_FFN_GATE_EXPS,
-                LLM_TENSOR_FFN_DOWN_EXPS,
-                LLM_TENSOR_FFN_UP_EXPS,
-                LLM_TENSOR_FFN_EXP_PROBS_B,
-                // Shared experts
-                LLM_TENSOR_FFN_GATE_SHEXP,
-                LLM_TENSOR_FFN_DOWN_SHEXP,
-                LLM_TENSOR_FFN_UP_SHEXP,
-                // KDA (using SSM_ enum prefix, keeping GGUF names for backward compat)
-                LLM_TENSOR_SSM_CONV1D_Q,
-                LLM_TENSOR_SSM_CONV1D_K,
-                LLM_TENSOR_SSM_CONV1D_V,
-                LLM_TENSOR_SSM_F_A,
-                LLM_TENSOR_SSM_F_B,
-                LLM_TENSOR_SSM_BETA,
-                LLM_TENSOR_SSM_A,
-                LLM_TENSOR_SSM_G_A,
-                LLM_TENSOR_SSM_G_B,
-                LLM_TENSOR_SSM_DT,
-                LLM_TENSOR_SSM_NORM,
-                // MLA
-                LLM_TENSOR_ATTN_Q_A,
-                LLM_TENSOR_ATTN_Q_B,
-                LLM_TENSOR_ATTN_Q_A_NORM,
-                LLM_TENSOR_ATTN_KV_A_MQA,
-                LLM_TENSOR_ATTN_KV_B,
-                LLM_TENSOR_ATTN_K_B,
-                LLM_TENSOR_ATTN_V_B,
-                LLM_TENSOR_ATTN_KV_A_NORM,
-            };
-        default:
-            GGML_ABORT("unknown architecture for tensor mapping");
-    }
-}
-
 // declare information about the model weight tensors:
 // - the layer in which the tensor is going to be used. this is needed in order to assign the correct buffer type for the weight
 // - the operator which is going to use the weight. this is needed to determine if the respective backend supports the operator
@@ -2572,20 +561,20 @@ static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
 // example: https://github.com/ggml-org/llama.cpp/pull/17548
 //
 static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
-    {LLM_TENSOR_TOKEN_EMBD,                 {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_POS_EMBD,                   {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_TOKEN_TYPES,                {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_TOKEN_EMBD,                 {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_POS_EMBD,                   {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_TOKEN_TYPES,                {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
     {LLM_TENSOR_TOKEN_EMBD_NORM,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},  // do the norms on the first layer (not the input layer)
-    {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_CLS_NORM,                   {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
-    {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
-    {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_OUTPUT_NORM_LFM2,           {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_DEC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
-    {LLM_TENSOR_ENC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
+    {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_CLS_NORM,                   {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}}, // Dense layer output
+    {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}}, // Dense layer output
+    {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_OUTPUT_NORM_LFM2,           {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_DEC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_ENC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
     {LLM_TENSOR_ROPE_FREQS,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
     {LLM_TENSOR_ROPE_FACTORS_LONG,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
     {LLM_TENSOR_ROPE_FACTORS_SHORT,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
@@ -2722,9 +711,9 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
     {LLM_TENSOR_FFN_UP_CHEXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
     {LLM_TENSOR_FFN_EXP_PROBS_B,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
     // altup / laurel (gemma 3n)
-    {LLM_TENSOR_PER_LAYER_TOKEN_EMBD,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_GET_ROWS}},
-    {LLM_TENSOR_PER_LAYER_MODEL_PROJ,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
-    {LLM_TENSOR_PER_LAYER_PROJ_NORM,        {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
+    {LLM_TENSOR_PER_LAYER_TOKEN_EMBD,       {LLM_TENSOR_LAYER_INPUT,     GGML_OP_GET_ROWS}},
+    {LLM_TENSOR_PER_LAYER_MODEL_PROJ,       {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
+    {LLM_TENSOR_PER_LAYER_PROJ_NORM,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
     {LLM_TENSOR_ALTUP_PROJ,                 {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
     {LLM_TENSOR_ALTUP_UNEMBD_PROJ,          {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
     {LLM_TENSOR_PER_LAYER_INP_GATE,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
@@ -2795,23 +784,13 @@ std::string LLM_KV::operator()(llm_kv kv) const {
 }
 
 LLM_TN_IMPL::LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid)
-    : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid),
-      model_tensors(llm_get_tensor_names(arch)) {}
+    : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid) {}
 
 std::string LLM_TN_IMPL::str() const {
     if (LLM_TENSOR_NAMES.find(tensor) == LLM_TENSOR_NAMES.end()) {
         GGML_ABORT("unknown tensor name for tensor id %d", static_cast<int>(tensor));
     }
 
-    if (model_tensors.find(tensor) == model_tensors.end()) {
-        const char * name = LLM_TENSOR_NAMES.at(tensor);
-        if (suffix != nullptr || bid != -1 || xid != -1) {
-            LLAMA_LOG_WARN("%s: cannot properly format tensor name %s with suffix=%s bid=%d xid=%d\n",
-                __func__, name, suffix, bid, xid);
-        }
-        return name;
-    }
-
     std::string name = ::format(LLM_TENSOR_NAMES.at(tensor), bid, xid);
     if (suffix != nullptr) {
         name += ".";
@@ -2897,3 +876,34 @@ bool llm_arch_is_diffusion(const llm_arch & arch) {
             return false;
     }
 }
+
+bool llm_arch_supports_sm_tensor(const llm_arch & arch) {
+    switch (arch) {
+        case LLM_ARCH_GROK:
+        case LLM_ARCH_MPT:
+        case LLM_ARCH_PLAMO2:
+        case LLM_ARCH_MINICPM3:
+        case LLM_ARCH_GEMMA3N:
+        case LLM_ARCH_MAMBA:
+        case LLM_ARCH_MAMBA2:
+        case LLM_ARCH_JAMBA:
+        case LLM_ARCH_FALCON_H1:
+        case LLM_ARCH_OLMO2:
+        case LLM_ARCH_OLMOE:
+        case LLM_ARCH_DEEPSEEK2:
+        case LLM_ARCH_GLM_DSA:
+        case LLM_ARCH_BITNET:
+        case LLM_ARCH_T5:
+        case LLM_ARCH_NEMOTRON_H:
+        case LLM_ARCH_NEMOTRON_H_MOE:
+        case LLM_ARCH_GRANITE_HYBRID:
+        case LLM_ARCH_LFM2:
+        case LLM_ARCH_LFM2MOE:
+        case LLM_ARCH_MINIMAX_M2:
+        case LLM_ARCH_MISTRAL4:
+        case LLM_ARCH_KIMI_LINEAR:
+            return false;
+        default:
+            return true;
+    }
+}
diff --git a/src/llama-arch.h b/src/llama-arch.h
index 1b8737b74..e37d548c9 100644
--- a/src/llama-arch.h
+++ b/src/llama-arch.h
@@ -113,6 +113,7 @@ enum llm_arch {
     LLM_ARCH_ERNIE4_5_MOE,
     LLM_ARCH_HUNYUAN_MOE,
     LLM_ARCH_HUNYUAN_DENSE,
+    LLM_ARCH_HUNYUAN_VL,
     LLM_ARCH_SMOLLM3,
     LLM_ARCH_OPENAI_MOE,
     LLM_ARCH_LFM2,
@@ -235,6 +236,7 @@ enum llm_kv {
     LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN,
     LLM_KV_ATTENTION_SCALE,
     LLM_KV_ATTENTION_OUTPUT_SCALE,
+    LLM_KV_ATTENTION_VALUE_SCALE,
     LLM_KV_ATTENTION_TEMPERATURE_LENGTH,
     LLM_KV_ATTENTION_TEMPERATURE_SCALE,
     LLM_KV_ATTENTION_KEY_LENGTH_MLA,
@@ -254,6 +256,7 @@ enum llm_kv {
     LLM_KV_ROPE_SCALE_LINEAR,
     LLM_KV_ROPE_SCALING_TYPE,
     LLM_KV_ROPE_SCALING_FACTOR,
+    LLM_KV_ROPE_SCALING_ALPHA,
     LLM_KV_ROPE_SCALING_ATTN_FACTOR,
     LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,
     LLM_KV_ROPE_SCALING_FINETUNED,
@@ -585,8 +588,6 @@ struct LLM_TN_IMPL {
     const int bid;
     const int xid;
 
-    const std::set<llm_tensor> model_tensors;
-
     LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid);
 
     std::string str() const;
@@ -632,6 +633,7 @@ llm_arch llm_arch_from_string(const std::string & name);
 
 const llm_tensor_info & llm_tensor_info_for(llm_tensor tensor);
 
-bool llm_arch_is_recurrent(const llm_arch & arch);
-bool llm_arch_is_hybrid   (const llm_arch & arch);
-bool llm_arch_is_diffusion(const llm_arch & arch);
+bool llm_arch_is_recurrent      (const llm_arch & arch);
+bool llm_arch_is_hybrid         (const llm_arch & arch);
+bool llm_arch_is_diffusion      (const llm_arch & arch);
+bool llm_arch_supports_sm_tensor(const llm_arch & arch);
diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index a808e3e45..61f267739 100644
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -1,5 +1,6 @@
 #include "llama-context.h"
 
+#include "ggml.h"
 #include "llama-arch.h"
 #include "llama-impl.h"
 #include "llama-batch.h"
@@ -8,6 +9,7 @@
 #include "llama-mmap.h"
 #include "llama-model.h"
 #include "llama-ext.h"
+#include "llama.h"
 
 #include <cinttypes>
 #include <cmath>
@@ -217,10 +219,10 @@ llama_context::llama_context(
 
     if (!hparams.vocab_only) {
         // GPU backends
-        for (auto * dev : model.devices) {
-            ggml_backend_t backend = ggml_backend_dev_init(dev, nullptr);
+        for (const auto & dev : model.devices) {
+            ggml_backend_t backend = ggml_backend_dev_init(dev.dev, nullptr);
             if (backend == nullptr) {
-                throw std::runtime_error(format("failed to initialize %s backend", ggml_backend_dev_name(dev)));
+                throw std::runtime_error(format("failed to initialize %s backend", ggml_backend_dev_name(dev.dev)));
             }
             backends.emplace_back(backend);
         }
@@ -295,8 +297,8 @@ llama_context::llama_context(
 
             if (backend_type == GGML_BACKEND_DEVICE_TYPE_CPU && !model.devices.empty()) {
                 // use the host buffer of the first device CPU for faster transfer of the intermediate state
-                auto * dev = model.devices[0];
-                auto * host_buft = ggml_backend_dev_host_buffer_type(dev);
+                const auto & dev = model.devices[0];
+                auto * host_buft = ggml_backend_dev_host_buffer_type(dev.dev);
                 if (host_buft) {
                     buft = host_buft;
                 }
@@ -1020,9 +1022,11 @@ void llama_context::set_abort_callback(bool (*abort_callback)(void * data), void
 
     for (auto & backend : backends) {
         auto * reg = ggml_backend_dev_backend_reg(ggml_backend_get_device(backend.get()));
-        auto * set_abort_callback_fn = (ggml_backend_set_abort_callback_t) ggml_backend_reg_get_proc_address(reg, "ggml_backend_set_abort_callback");
-        if (set_abort_callback_fn) {
-            set_abort_callback_fn(backend.get(), this->abort_callback, this->abort_callback_data);
+        if (reg) {
+            auto * set_abort_callback_fn = (ggml_backend_set_abort_callback_t) ggml_backend_reg_get_proc_address(reg, "ggml_backend_set_abort_callback");
+            if (set_abort_callback_fn) {
+                set_abort_callback_fn(backend.get(), this->abort_callback, this->abort_callback_data);
+            }
         }
     }
 }
@@ -2226,13 +2230,17 @@ llm_graph_cb llama_context::graph_get_cb() const {
 
 class llama_io_write_dummy : public llama_io_write_i {
 public:
-    llama_io_write_dummy() = default;
+    llama_io_write_dummy(bool skip_tensors) : skip_tensors(skip_tensors) {}
 
     void write(const void * /* src */, size_t size) override {
         size_written += size;
     }
 
-    void write_tensor(const ggml_tensor * /* tensor */, size_t /* offset */, size_t size) override {
+    void write_tensor(ggml_tensor * /* tensor */, size_t /* offset */, size_t size) override {
+        if (skip_tensors) {
+            return;
+        }
+
         size_written += size;
     }
 
@@ -2241,14 +2249,23 @@ class llama_io_write_dummy : public llama_io_write_i {
     }
 
 private:
+    const bool skip_tensors;
+
     size_t size_written = 0;
 };
 
-class llama_io_write_buffer : public llama_io_write_i {
+class llama_io_write_host : public llama_io_write_i {
 public:
-    llama_io_write_buffer(
+    llama_io_write_host(
             uint8_t * p, size_t len) : ptr(p), buf_size(len) {}
 
+    ~llama_io_write_host() {
+        // TODO: add backend support to batch tensor_get? or some other way to speed this up
+        for (const auto & winfo : winfos) {
+            ggml_backend_tensor_get(winfo.tensor, winfo.ptr, winfo.offset, winfo.size);
+        }
+    }
+
     void write(const void * src, size_t size) override {
         if (size > buf_size) {
             throw std::runtime_error("unexpectedly reached end of buffer");
@@ -2259,11 +2276,14 @@ class llama_io_write_buffer : public llama_io_write_i {
         buf_size -= size;
     }
 
-    void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) override {
+    void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
         if (size > buf_size) {
             throw std::runtime_error("unexpectedly reached end of buffer");
         }
-        ggml_backend_tensor_get(tensor, ptr, offset, size);
+
+        // save the write for later during destruction
+        winfos.push_back({tensor, ptr, size, offset});
+
         ptr += size;
         size_written += size;
         buf_size -= size;
@@ -2277,25 +2297,48 @@ class llama_io_write_buffer : public llama_io_write_i {
     uint8_t * ptr;
     size_t buf_size = 0;
     size_t size_written = 0;
+
+    struct write_info {
+        ggml_tensor * tensor;
+        uint8_t * ptr;
+        size_t size;
+        size_t offset;
+    };
+    std::vector<write_info> winfos;
 };
 
-class llama_io_read_buffer : public llama_io_read_i {
+class llama_io_read_host : public llama_io_read_i {
 public:
-    llama_io_read_buffer(const uint8_t * p, size_t len) : ptr(p), buf_size(len) {}
+    llama_io_read_host(const uint8_t * p, size_t len) : ptr(p), buf_size(len) {}
 
-    const uint8_t * read(size_t size) override {
-        const uint8_t * base_ptr = ptr;
+    ~llama_io_read_host() {
+        // flush the reads
+        for (const auto & rinfo : rinfos) {
+            ggml_backend_tensor_set(rinfo.tensor, rinfo.ptr, rinfo.offset, rinfo.size);
+        }
+    }
+
+    void read(void * dst, size_t size) override {
         if (size > buf_size) {
             throw std::runtime_error("unexpectedly reached end of buffer");
         }
+        memcpy(dst, ptr, size);
         ptr += size;
         size_read += size;
         buf_size -= size;
-        return base_ptr;
     }
 
-    void read_to(void * dst, size_t size) override {
-        memcpy(dst, read(size), size);
+    void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
+        if (size > buf_size) {
+            throw std::runtime_error("unexpectedly reached end of buffer");
+        }
+
+        // save for later during destruction
+        rinfos.push_back({tensor, ptr, size, offset});
+
+        ptr += size;
+        size_read += size;
+        buf_size -= size;
     }
 
     size_t n_bytes() override {
@@ -2306,6 +2349,14 @@ class llama_io_read_buffer : public llama_io_read_i {
     const uint8_t * ptr;
     size_t buf_size = 0;
     size_t size_read = 0;
+
+    struct read_info {
+        ggml_tensor * tensor;
+        const uint8_t * ptr;
+        size_t size;
+        size_t offset;
+    };
+    std::vector<read_info> rinfos;
 };
 
 class llama_io_write_file : public llama_io_write_i {
@@ -2317,7 +2368,7 @@ class llama_io_write_file : public llama_io_write_i {
         size_written += size;
     }
 
-    void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) override {
+    void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
         temp_buffer.resize(size);
         ggml_backend_tensor_get(tensor, temp_buffer.data(), offset, size);
         write(temp_buffer.data(), temp_buffer.size());
@@ -2337,15 +2388,15 @@ class llama_io_read_file : public llama_io_read_i {
 public:
     llama_io_read_file(llama_file * f) : file(f) {}
 
-    void read_to(void * dst, size_t size) override {
+    void read(void * dst, size_t size) override {
         file->read_raw(dst, size);
         size_read += size;
     }
 
-    const uint8_t * read(size_t size) override {
+    void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
         temp_buffer.resize(size);
-        read_to(temp_buffer.data(), size);
-        return temp_buffer.data();
+        read(temp_buffer.data(), size);
+        ggml_backend_tensor_set(tensor, temp_buffer.data(), offset, size);
     }
 
     size_t n_bytes() override {
@@ -2358,8 +2409,162 @@ class llama_io_read_file : public llama_io_read_i {
     std::vector<uint8_t> temp_buffer;
 };
 
+class llama_io_write_device : public llama_io_write_i {
+public:
+    llama_io_write_device(uint8_t * p, size_t len, llama_memory_buffers & mbufs) : ptr(p), buf_size(len), mbufs(mbufs)  {
+    }
+
+    ~llama_io_write_device() {
+        llama_memory_buffers mbufs_new;
+
+        for (const auto & winfo : winfos) {
+            auto * buft = ggml_backend_buffer_get_type(winfo.tensor->buffer);
+
+            mbufs_new[buft].n_tensors++;
+            mbufs_new[buft].total_size += winfo.size;
+        }
+
+        for (auto & [buft, mbuf] : mbufs_new) {
+            ggml_init_params params = {
+                /*.mem_size   =*/ 2*mbuf.n_tensors*ggml_tensor_overhead(),
+                /*.mem_buffer =*/ NULL,
+                /*.no_alloc   =*/ true,
+            };
+
+            mbuf.ctx.reset(ggml_init(params));
+
+            mbuf.org.reserve(mbuf.n_tensors);
+            mbuf.cpy.reserve(mbuf.n_tensors);
+        }
+
+        for (const auto & winfo : winfos) {
+            auto * buft = ggml_backend_buffer_get_type(winfo.tensor->buffer);
+
+            const int64_t n = winfo.size/ggml_element_size(winfo.tensor);
+
+            auto & mbuf = mbufs_new[buft];
+
+            mbuf.org.push_back(ggml_view_1d      (mbuf.ctx.get(), winfo.tensor, n, winfo.offset));
+            mbuf.cpy.push_back(ggml_new_tensor_1d(mbuf.ctx.get(), winfo.tensor->type, n));
+        }
+
+        for (auto & [buft, mbuf] : mbufs_new) {
+            auto & mbuf_cur = mbufs[buft];
+
+            if (!mbuf_cur.buf || mbuf_cur.org.size() != mbuf.org.size() || mbuf_cur.total_size != mbuf.total_size) {
+                mbuf_cur = std::move(mbuf);
+
+                mbuf_cur.buf.reset(ggml_backend_alloc_ctx_tensors_from_buft(mbuf_cur.ctx.get(), buft));
+
+                LLAMA_LOG_INFO("%s: allocated '%s' buffer %.3f MiB\n", __func__, ggml_backend_buft_name(buft), mbuf.total_size/1024.0/1024.0);
+            }
+
+            for (size_t i = 0; i < mbuf_cur.org.size(); ++i) {
+                ggml_backend_tensor_copy(mbuf_cur.org[i], mbuf_cur.cpy[i]);
+            }
+        }
+    }
+
+    void write(const void * src, size_t size) override {
+        if (size > buf_size) {
+            throw std::runtime_error("unexpectedly reached end of buffer");
+        }
+        memcpy(ptr, src, size);
+        ptr += size;
+        size_written += size;
+        buf_size -= size;
+    }
+
+    void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
+        // save the write for later during destruction
+        winfos.push_back({tensor, ptr, size, offset});
+    }
+
+    size_t n_bytes() override {
+        return size_written;
+    }
+
+private:
+    uint8_t * ptr;
+    size_t buf_size = 0;
+    size_t size_written = 0;
+
+    struct write_info {
+        ggml_tensor * tensor;
+        uint8_t * ptr;
+        size_t size;
+        size_t offset;
+    };
+    std::vector<write_info> winfos;
+
+    llama_memory_buffers & mbufs;
+};
+
+class llama_io_read_device : public llama_io_read_i {
+public:
+    llama_io_read_device(const uint8_t * p, size_t len, const llama_memory_buffers & mbufs) : ptr(p), buf_size(len), mbufs(mbufs) {
+    }
+
+    ~llama_io_read_device() {
+        llama_memory_buffers mbufs_new;
+
+        for (const auto & rinfo : rinfos) {
+            auto * buft = ggml_backend_buffer_get_type(rinfo.tensor->buffer);
+
+            mbufs_new[buft].n_tensors++;
+            mbufs_new[buft].total_size += rinfo.size;
+        }
+
+        for (auto & [buft, mbuf] : mbufs_new) {
+            const auto & mbuf_cur = mbufs.at(buft);
+
+            if (!mbuf_cur.buf || mbuf_cur.n_tensors != mbuf.n_tensors || mbuf_cur.total_size != mbuf.total_size) {
+                GGML_ABORT("%s: memory buffer mismatch\n", __func__);
+            }
+
+            for (size_t i = 0; i < mbuf_cur.org.size(); ++i) {
+                ggml_backend_tensor_copy(mbuf_cur.cpy[i], mbuf_cur.org[i]);
+            }
+        }
+    }
+
+    void read(void * dst, size_t size) override {
+        if (size > buf_size) {
+            throw std::runtime_error("unexpectedly reached end of buffer");
+        }
+        memcpy(dst, ptr, size);
+        ptr += size;
+        size_read += size;
+        buf_size -= size;
+    }
+
+    void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) override {
+        // save for later during destruction
+        rinfos.push_back({tensor, ptr, size, offset});
+    }
+
+    size_t n_bytes() override {
+        return size_read;
+    }
+
+private:
+    const uint8_t * ptr;
+    size_t buf_size = 0;
+    size_t size_read = 0;
+
+    struct read_info {
+        ggml_tensor * tensor;
+        const uint8_t * ptr;
+        size_t size;
+        size_t offset;
+    };
+    std::vector<read_info> rinfos;
+
+    const llama_memory_buffers & mbufs;
+};
+
 size_t llama_context::state_get_size() {
-    llama_io_write_dummy io;
+    llama_io_write_dummy io(false);
     try {
         return state_write_data(io);
     } catch (const std::exception & err) {
@@ -2369,7 +2574,7 @@ size_t llama_context::state_get_size() {
 }
 
 size_t llama_context::state_get_data(uint8_t * dst, size_t size) {
-    llama_io_write_buffer io(dst, size);
+    llama_io_write_host io(dst, size);
     try {
         return state_write_data(io);
     } catch (const std::exception & err) {
@@ -2379,7 +2584,7 @@ size_t llama_context::state_get_data(uint8_t * dst, size_t size) {
 }
 
 size_t llama_context::state_set_data(const uint8_t * src, size_t size) {
-    llama_io_read_buffer io(src, size);
+    llama_io_read_host io(src, size);
     try {
         return state_read_data(io);
     } catch (const std::exception & err) {
@@ -2388,9 +2593,14 @@ size_t llama_context::state_set_data(const uint8_t * src, size_t size) {
     }
 }
 
+static constexpr uint32_t io_magic = 0xaf143cd8;
+
 size_t llama_context::state_seq_get_size(llama_seq_id seq_id, llama_state_seq_flags flags) {
-    llama_io_write_dummy io;
+    llama_io_write_dummy io(flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
     try {
+        io.write(&io_magic, sizeof(io_magic));
+        io.write(&seq_id, sizeof(seq_id));
+
         return state_seq_write_data(io, seq_id, flags);
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: error getting state size: %s\n", __func__, err.what());
@@ -2399,9 +2609,18 @@ size_t llama_context::state_seq_get_size(llama_seq_id seq_id, llama_state_seq_fl
 }
 
 size_t llama_context::state_seq_get_data(llama_seq_id seq_id, uint8_t * dst, size_t size, llama_state_seq_flags flags) {
-    llama_io_write_buffer io(dst, size);
+    std::unique_ptr<llama_io_write_i> io;
+    if (flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE) {
+        io = std::make_unique<llama_io_write_device>(dst, size, mem_storage[seq_id]);
+    } else {
+        io = std::make_unique<llama_io_write_host>(dst, size);
+    }
+
     try {
-        return state_seq_write_data(io, seq_id, flags);
+        io->write(&io_magic, sizeof(io_magic));
+        io->write(&seq_id, sizeof(seq_id));
+
+        return state_seq_write_data(*io, seq_id, flags);
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: error saving state: %s\n", __func__, err.what());
         return 0;
@@ -2409,9 +2628,43 @@ size_t llama_context::state_seq_get_data(llama_seq_id seq_id, uint8_t * dst, siz
 }
 
 size_t llama_context::state_seq_set_data(llama_seq_id seq_id, const uint8_t * src, size_t size, llama_state_seq_flags flags) {
-    llama_io_read_buffer io(src, size);
+    std::unique_ptr<llama_io_read_i> io;
+    if (flags & LLAMA_STATE_SEQ_FLAGS_ON_DEVICE) {
+        // create a temporary io to read the magic and the src seq_id
+        io = std::make_unique<llama_io_read_host>(src, size);
+
+        uint32_t magic_read;
+        io->read(&magic_read, sizeof(magic_read));
+        if (io_magic != magic_read) {
+            throw std::runtime_error("wrong sequence state magic");
+        }
+
+        llama_seq_id seq_id_read;
+        io->read(&seq_id_read, sizeof(seq_id_read));
+
+        GGML_ASSERT(mem_storage.find(seq_id_read) != mem_storage.end());
+
+        io = std::make_unique<llama_io_read_device>(src, size, mem_storage[seq_id_read]);
+    } else {
+        io = std::make_unique<llama_io_read_host>(src, size);
+    }
+
     try {
-        return state_seq_read_data(io, seq_id, flags);
+        uint32_t magic_read;
+        io->read(&magic_read, sizeof(magic_read));
+        if (io_magic != magic_read) {
+            throw std::runtime_error("wrong sequence state magic");
+        }
+
+        const bool need_seq_match = (flags & LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+
+        llama_seq_id seq_id_read;
+        io->read(&seq_id_read, sizeof(seq_id_read));
+        if (need_seq_match && seq_id != seq_id_read) {
+            throw std::runtime_error("wrong sequence id");
+        }
+
+        return state_seq_read_data(*io, seq_id, flags);
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: error loading state: %s\n", __func__, err.what());
         return 0;
@@ -2632,7 +2885,7 @@ void llama_context::perf_reset() {
     n_reused    = 0;
 }
 
-std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> llama_context::memory_breakdown() const {
+llama_memory_breakdown llama_context::memory_breakdown() const {
     std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> ret;
     for (const auto & [buft, size] : model.memory_breakdown()) {
         ret[buft].model += size;
@@ -2942,7 +3195,22 @@ llama_context * llama_init_from_model(
         params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_DISABLED;
     }
 
-    if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_k)) {
+    if (model->split_mode() == LLAMA_SPLIT_MODE_TENSOR) {
+        if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO) {
+            LLAMA_LOG_INFO("%s: enabling flash_attn since it is required for SPLIT_MODE_TENSOR\n", __func__);
+            params.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_ENABLED;
+        }
+        if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_ENABLED) {
+            LLAMA_LOG_ERROR("%s: SPLIT_MODE_TENSOR requires flash_attn to be enabled\n", __func__);
+            return nullptr;
+        }
+        if (ggml_is_quantized(params.type_k) || ggml_is_quantized(params.type_v)) {
+            LLAMA_LOG_ERROR("%s: simultaneous use of SPLIT_MODE_TENSOR and KV cache quantization not implemented\n", __func__);
+            return nullptr;
+        }
+    }
+
+    if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED && ggml_is_quantized(params.type_k)) {
         const uint32_t blck_size = ggml_blck_size(params.type_k);
         for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
             if (model->hparams.n_embd_head_k(il) % blck_size != 0) {
@@ -2953,7 +3221,7 @@ llama_context * llama_init_from_model(
         }
     }
 
-    if (params.flash_attn_type == LLAMA_FLASH_ATTN_TYPE_AUTO && ggml_is_quantized(params.type_v)) {
+    if (params.flash_attn_type != LLAMA_FLASH_ATTN_TYPE_DISABLED && ggml_is_quantized(params.type_v)) {
         const uint32_t blck_size = ggml_blck_size(params.type_v);
         for (uint32_t il = 0; il < model->hparams.n_layer; ++il) {
             if (model->hparams.n_embd_head_v(il) % blck_size != 0) {
@@ -3387,7 +3655,6 @@ size_t llama_state_seq_get_data_ext(llama_context * ctx, uint8_t * dst, size_t s
 
     return ctx->state_seq_get_data(seq_id, dst, size, flags);
 }
-
 size_t llama_state_seq_set_data_ext(llama_context * ctx, const uint8_t * src, size_t size, llama_seq_id seq_id, llama_state_seq_flags flags) {
     ctx->synchronize();
 
@@ -3474,142 +3741,6 @@ void llama_perf_context_reset(llama_context * ctx) {
     ctx->perf_reset();
 }
 
-void llama_memory_breakdown_print(const struct llama_context * ctx) {
-    const std::vector<ggml_backend_dev_t> & devices = ctx->get_model().devices;
-
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown = ctx->memory_breakdown();
-
-    std::vector<std::array<std::string, 9>> table_data;
-    table_data.reserve(devices.size());
-    const std::string template_header = "%s: | %s | %s   %s    %s   %s   %s   %s    %s |\n";
-    const std::string template_gpu    = "%s: | %s | %s = %s + (%s = %s + %s + %s) + %s |\n";
-    const std::string template_other  = "%s: | %s | %s   %s    %s = %s + %s + %s    %s |\n";
-
-    table_data.push_back({template_header, "memory breakdown [MiB]", "total", "free", "self", "model", "context", "compute", "unaccounted"});
-
-    constexpr size_t MiB = 1024 * 1024;
-    const std::vector<std::string> desc_prefixes_strip = {"NVIDIA ", "GeForce ", "Tesla ", "AMD ", "Radeon ", "Instinct "};
-
-    // track seen buffer types to avoid double counting:
-    std::set<ggml_backend_buffer_type_t> seen_buffer_types;
-
-    // accumulative memory breakdown for each device and for host:
-    std::vector<llama_memory_breakdown_data> mb_dev(devices.size());
-    llama_memory_breakdown_data              mb_host;
-
-    for (const auto & buft_mb : memory_breakdown) {
-        ggml_backend_buffer_type_t          buft = buft_mb.first;
-        const llama_memory_breakdown_data & mb   = buft_mb.second;
-        if (ggml_backend_buft_is_host(buft)) {
-            mb_host.model   += mb.model;
-            mb_host.context += mb.context;
-            mb_host.compute += mb.compute;
-            seen_buffer_types.insert(buft);
-            continue;
-        }
-        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
-        if (dev) {
-            int i_dev = -1;
-            for (size_t i = 0; i < devices.size(); i++) {
-                if (devices[i] == dev) {
-                    i_dev = i;
-                    break;
-                }
-            }
-            if (i_dev != -1) {
-                mb_dev[i_dev].model   += mb.model;
-                mb_dev[i_dev].context += mb.context;
-                mb_dev[i_dev].compute += mb.compute;
-                seen_buffer_types.insert(buft);
-                continue;
-            }
-        }
-    }
-
-    // print memory breakdown for each device:
-    for (size_t i = 0; i < devices.size(); i++) {
-        ggml_backend_dev_t          dev = devices[i];
-        llama_memory_breakdown_data mb  = mb_dev[i];
-
-        const std::string name = ggml_backend_dev_name(dev);
-        std::string desc = ggml_backend_dev_description(dev);
-        for (const std::string & prefix : desc_prefixes_strip) {
-            if (desc.length() >= prefix.length() && desc.substr(0, prefix.length()) == prefix) {
-                desc = desc.substr(prefix.length());
-            }
-        }
-
-        size_t free, total;
-        ggml_backend_dev_memory(dev, &free, &total);
-
-        const size_t self = mb.model + mb.context + mb.compute;
-        const size_t unaccounted = total - self - free;
-
-        table_data.push_back({
-            template_gpu,
-            "  - " + name + " (" + desc + ")",
-            std::to_string(total / MiB),
-            std::to_string(free / MiB),
-            std::to_string(self / MiB),
-            std::to_string(mb.model / MiB),
-            std::to_string(mb.context / MiB),
-            std::to_string(mb.compute / MiB),
-            std::to_string(unaccounted / MiB)});
-    }
-
-    // print memory breakdown for host:
-    {
-        const size_t self = mb_host.model + mb_host.context + mb_host.compute;
-        table_data.push_back({
-            template_other,
-            "  - Host",
-            "", // total
-            "", // free
-            std::to_string(self / MiB),
-            std::to_string(mb_host.model / MiB),
-            std::to_string(mb_host.context / MiB),
-            std::to_string(mb_host.compute / MiB),
-            ""}); // unaccounted
-    }
-
-    // print memory breakdown for all remaining buffer types:
-    for (const auto & buft_mb : memory_breakdown) {
-        ggml_backend_buffer_type_t          buft = buft_mb.first;
-        const llama_memory_breakdown_data & mb   = buft_mb.second;
-        if (seen_buffer_types.count(buft) == 1) {
-            continue;
-        }
-        const std::string name = ggml_backend_buft_name(buft);
-        const size_t self = mb.model + mb.context + mb.compute;
-        table_data.push_back({
-            template_other,
-            "  - " + name,
-            "", // total
-            "", // free
-            std::to_string(self / MiB),
-            std::to_string(mb.model / MiB),
-            std::to_string(mb.context / MiB),
-            std::to_string(mb.compute / MiB),
-            ""}); // unaccounted
-        seen_buffer_types.insert(buft);
-    }
-
-    for (size_t j = 1; j < table_data[0].size(); j++) {
-        size_t max_len = 0;
-        for (const auto & td : table_data) {
-            max_len = std::max(max_len, td[j].length());
-        }
-        for (auto & td : table_data) {
-            td[j].insert(j == 1 ? td[j].length() : 0, max_len - td[j].length(), ' ');
-        }
-    }
-    for (const auto & td : table_data) {
-        LLAMA_LOG_INFO(td[0].c_str(),
-            __func__, td[1].c_str(), td[2].c_str(), td[3].c_str(), td[4].c_str(), td[5].c_str(),
-            td[6].c_str(), td[7].c_str(), td[8].c_str());
-    }
-}
-
 //
 // training
 //
@@ -3640,3 +3771,11 @@ void llama_opt_epoch(
         callback_train,
         callback_eval);
 }
+
+//
+// ext
+//
+
+llama_memory_breakdown llama_get_memory_breakdown(const struct llama_context * ctx) {
+    return ctx->memory_breakdown();
+}
diff --git a/src/llama-context.h b/src/llama-context.h
index e0d0085c1..92d1b0cf9 100644
--- a/src/llama-context.h
+++ b/src/llama-context.h
@@ -1,6 +1,7 @@
 #pragma once
 
 #include "llama.h"
+#include "llama-ext.h"
 #include "llama-cparams.h"
 #include "llama-graph.h"
 #include "llama-adapter.h"
@@ -22,17 +23,21 @@ class llama_io_write_i;
 struct llama_memory_i;
 struct llama_memory_context_i;
 
-// "memory" as in physical memory for a buffer type, in bytes
-struct llama_memory_breakdown_data {
-    size_t model   = 0; // memory allocated for the model
-    size_t context = 0; // memory allocated for the context
-    size_t compute = 0; // memory allocated for temporary compute buffers
+// stores copy of the memory in device buffer. used for fast state save/load
+struct llama_memory_buffer {
+    int n_tensors = 0;
+    size_t total_size = 0;
 
-    size_t total() const {
-        return model + context + compute;
-    }
+    ggml_backend_buffer_ptr buf;
+
+    ggml_context_ptr ctx;
+
+    std::vector<ggml_tensor *> org;
+    std::vector<ggml_tensor *> cpy;
 };
 
+using llama_memory_buffers = std::map<ggml_backend_buffer_type_t, llama_memory_buffer>;
+
 struct llama_context {
     // init scheduler and compute buffers, reserve worst-case graphs
     llama_context(
@@ -138,6 +143,7 @@ struct llama_context {
     size_t state_set_data(const uint8_t * src, size_t size);
 
     size_t state_seq_get_size(llama_seq_id seq_id, llama_state_seq_flags flags);
+
     size_t state_seq_get_data(llama_seq_id seq_id,       uint8_t * dst, size_t size, llama_state_seq_flags flags);
     size_t state_seq_set_data(llama_seq_id seq_id, const uint8_t * src, size_t size, llama_state_seq_flags flags);
 
@@ -172,7 +178,7 @@ struct llama_context {
     llama_perf_context_data perf_get_data() const;
     void perf_reset();
 
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown() const;
+    llama_memory_breakdown memory_breakdown() const;
 
     //
     // training
@@ -338,6 +344,9 @@ struct llama_context {
     // host buffer for the model output (logits and embeddings)
     ggml_backend_buffer_ptr buf_output;
 
+    // keep copies of the per-sequence memory on the device
+    std::map<llama_seq_id, llama_memory_buffers> mem_storage;
+
     bool has_evaluated_once = false;
 
     // env: LLAMA_GRAPH_REUSE_DISABLE
diff --git a/src/llama-ext.h b/src/llama-ext.h
index 2ffb77934..8ce29d217 100644
--- a/src/llama-ext.h
+++ b/src/llama-ext.h
@@ -1,8 +1,12 @@
 #pragma once
 
+// this is a staging header for new llama.cpp API
+// breaking changes and C++ are allowed. everything here should be considered WIP
+
 #include "llama.h"
 
 #include <cstdint>
+#include <map>
 
 // Reserve a new compute graph. It is valid until the next call to llama_graph_reserve.
 LLAMA_API struct ggml_cgraph * llama_graph_reserve(
@@ -14,7 +18,6 @@ LLAMA_API struct ggml_cgraph * llama_graph_reserve(
 // Get the default ggml_type for a given ftype.
 LLAMA_API ggml_type llama_ftype_get_default_type(llama_ftype ftype);
 
-// Quantization state.
 struct quantize_state_impl;
 
 LLAMA_API quantize_state_impl * llama_quant_init(
@@ -54,3 +57,34 @@ LLAMA_API void llama_quant_compute_types(
         ggml_tensor ** tensors,
         ggml_type * result_types,
         size_t n_tensors);
+
+//
+// device memory querying
+//
+
+// "memory" as in physical memory for a buffer type, in bytes
+struct llama_memory_breakdown_data {
+    size_t model   = 0; // memory allocated for the model
+    size_t context = 0; // memory allocated for the context
+    size_t compute = 0; // memory allocated for temporary compute buffers
+
+    size_t total() const {
+        return model + context + compute;
+    }
+};
+
+struct llama_device_memory_data {
+    int64_t total;
+    int64_t free;
+    llama_memory_breakdown_data mb;
+};
+
+// TODO: convert to C-style data structure
+using llama_memory_breakdown = std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data>;
+
+LLAMA_API int32_t llama_model_n_expert (const struct llama_model * model);
+LLAMA_API int32_t llama_model_n_devices(const struct llama_model * model);
+
+LLAMA_API ggml_backend_dev_t llama_model_get_device(const struct llama_model * model, int i);
+
+LLAMA_API llama_memory_breakdown llama_get_memory_breakdown(const struct llama_context * ctx);
diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp
index d5bf1632d..3933b3e85 100644
--- a/src/llama-graph.cpp
+++ b/src/llama-graph.cpp
@@ -1,6 +1,7 @@
 #include "llama-graph.h"
 
 #include "llama-impl.h"
+#include "llama-model.h"
 #include "llama-batch.h"
 #include "llama-cparams.h"
 
@@ -64,8 +65,13 @@ static ggml_tensor * ggml_mul_mat_aux(
 
     ggml_tensor * res;
 
-    res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n);
+    if (!ggml_is_contiguous(cur)) {
+        res = ggml_cont_2d   (ctx, cur, n, ggml_nelements(cur)/n);
+    } else {
+        res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n);
+    }
     res = ggml_mul_mat   (ctx, rot, res);
+    ggml_mul_mat_set_hint(res, GGML_HINT_SRC0_IS_HADAMARD);
     res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]);
 
     return res;
@@ -511,6 +517,14 @@ void llm_graph_input_attn_kv_iswa::set_input(const llama_ubatch * ubatch) {
     if (self_v_rot) {
         mctx->get_base()->set_input_v_rot(self_v_rot);
     }
+
+    if (self_k_rot_swa) {
+        mctx->get_swa()->set_input_k_rot(self_k_rot_swa);
+    }
+
+    if (self_v_rot_swa) {
+        mctx->get_swa()->set_input_v_rot(self_v_rot_swa);
+    }
 }
 
 bool llm_graph_input_attn_kv_iswa::can_reuse(const llm_graph_params & params) {
@@ -681,6 +695,14 @@ void llm_graph_input_mem_hybrid_iswa::set_input(const llama_ubatch * ubatch) {
         attn_ctx->get_base()->set_input_v_rot(inp_attn->self_v_rot);
     }
 
+    if (inp_attn->self_k_rot_swa) {
+        attn_ctx->get_swa()->set_input_k_rot(inp_attn->self_k_rot_swa);
+    }
+
+    if (inp_attn->self_v_rot_swa) {
+        attn_ctx->get_swa()->set_input_v_rot(inp_attn->self_v_rot_swa);
+    }
+
     const int64_t n_rs = mctx->get_recr()->get_n_rs();
 
     if (inp_rs->s_copy) {
@@ -1043,6 +1065,84 @@ ggml_tensor * llm_graph_context::build_norm(
     return cur;
 }
 
+
+llm_graph_qkv llm_graph_context::build_qkv(
+        const llama_layer & layer,
+              ggml_tensor * cur,
+                  int64_t   n_embd_head,
+                  int64_t   n_head,
+                  int64_t   n_head_kv,
+                      int   il) const {
+    const int64_t n_embd_q  = n_embd_head * n_head;
+    const int64_t n_embd_kv = n_embd_head * n_head_kv;
+
+    ggml_tensor * Qcur, * Kcur, * Vcur;
+
+    if (layer.wqkv) {
+        // fused QKV path
+        ggml_tensor * qkv = build_lora_mm(layer.wqkv, cur, layer.wqkv_s);
+        cb(qkv, "wqkv", il);
+        if (layer.wqkv_b) {
+            qkv = ggml_add(ctx0, qkv, layer.wqkv_b);
+            cb(qkv, "wqkv_b", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            qkv = ggml_clamp(ctx0, qkv, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(qkv, "wqkv_clamped", il);
+        }
+        Qcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head,    n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1], 0);
+        Kcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1],
+            ggml_row_size(qkv->type, n_embd_q));
+        Vcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens,
+            ggml_row_size(qkv->type, n_embd_head), qkv->nb[1],
+            ggml_row_size(qkv->type, n_embd_q + n_embd_kv));
+    } else {
+        // separate Q/K/V path
+        Qcur = build_lora_mm(layer.wq, cur, layer.wq_s);
+        cb(Qcur, "Qcur", il);
+        if (layer.wq_b) {
+            Qcur = ggml_add(ctx0, Qcur, layer.wq_b);
+            cb(Qcur, "Qcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Qcur = ggml_clamp(ctx0, Qcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Qcur, "Qcur_clamped", il);
+        }
+        Kcur = build_lora_mm(layer.wk, cur, layer.wk_s);
+        cb(Kcur, "Kcur", il);
+        if (layer.wk_b) {
+            Kcur = ggml_add(ctx0, Kcur, layer.wk_b);
+            cb(Kcur, "Kcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Kcur = ggml_clamp(ctx0, Kcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Kcur, "Kcur_clamped", il);
+        }
+        Vcur = build_lora_mm(layer.wv, cur, layer.wv_s);
+        cb(Vcur, "Vcur", il);
+        if (layer.wv_b) {
+            Vcur = ggml_add(ctx0, Vcur, layer.wv_b);
+            cb(Vcur, "Vcur", il);
+        }
+        if (hparams.f_clamp_kqv > 0.0f) {
+            Vcur = ggml_clamp(ctx0, Vcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
+            cb(Vcur, "Vcur_clamped", il);
+        }
+        Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
+        Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+        Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+    }
+
+    cb(Qcur, "Qcur", il);
+    cb(Kcur, "Kcur", il);
+    cb(Vcur, "Vcur", il);
+
+    return { Qcur, Kcur, Vcur };
+}
+
+
 ggml_tensor * llm_graph_context::build_ffn(
          ggml_tensor * cur,
          ggml_tensor * up,
@@ -1570,6 +1670,8 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
         cb(experts, "ffn_moe_weighted", il);
     }
 
+    ggml_build_forward_expand(gf, experts);
+
     ggml_tensor * cur_experts[LLAMA_MAX_EXPERTS] = { nullptr };
 
     assert(n_expert_used > 0);
@@ -1589,6 +1691,8 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
 
     for (uint32_t i = 1; i < hparams.n_expert_used; ++i) {
         moe_out = ggml_add(ctx0, moe_out, cur_experts[i]);
+
+        ggml_build_forward_expand(gf, moe_out);
     }
 
     if (hparams.n_expert_used == 1) {
@@ -2023,6 +2127,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_no_cache * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2056,7 +2161,7 @@ ggml_tensor * llm_graph_context::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2107,6 +2212,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_kv * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2191,10 +2297,15 @@ ggml_tensor * llm_graph_context::build_attn(
     }
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
         if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE || arch == LLM_ARCH_JAIS2) {
             // GLM4, GLM4_MOE, and JAIS2 seem to have numerical issues with half-precision accumulators
+            cur = build_lora_mm(wo, cur);
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
+            if (wo_s) {
+                cur = ggml_mul(ctx0, cur, wo_s);
+            }
+        } else {
+            cur = build_lora_mm(wo, cur, wo_s);
         }
     }
 
@@ -2238,6 +2349,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_k * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2302,10 +2414,15 @@ ggml_tensor * llm_graph_context::build_attn(
     }
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
         if (arch == LLM_ARCH_GLM4 || arch == LLM_ARCH_GLM4_MOE) {
             // GLM4 and GLM4_MOE seem to have numerical issues with half-precision accumulators
+            cur = build_lora_mm(wo, cur);
             ggml_mul_mat_set_prec(cur, GGML_PREC_F32);
+            if (wo_s) {
+                cur = ggml_mul(ctx0, cur, wo_s);
+            }
+        } else {
+            cur = build_lora_mm(wo, cur, wo_s);
         }
     }
 
@@ -2320,6 +2437,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_kv_iswa * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2328,15 +2446,20 @@ ggml_tensor * llm_graph_context::build_attn(
         ggml_tensor * v_mla,
             float     kq_scale,
             int       il) const {
-    if (inp->self_k_rot) {
-        q_cur = ggml_mul_mat_aux(ctx0, q_cur, inp->self_k_rot);
+    const bool is_swa = hparams.is_swa(il);
+
+    auto * k_rot = is_swa ? inp->self_k_rot_swa : inp->self_k_rot;
+    auto * v_rot = is_swa ? inp->self_v_rot_swa : inp->self_v_rot;
+
+    if (k_rot) {
+        q_cur = ggml_mul_mat_aux(ctx0, q_cur, k_rot);
         if (k_cur) {
-            k_cur = ggml_mul_mat_aux(ctx0, k_cur, inp->self_k_rot);
+            k_cur = ggml_mul_mat_aux(ctx0, k_cur, k_rot);
         }
     }
-    if (inp->self_v_rot) {
+    if (v_rot) {
         if (v_cur) {
-            v_cur = ggml_mul_mat_aux(ctx0, v_cur, inp->self_v_rot);
+            v_cur = ggml_mul_mat_aux(ctx0, v_cur, v_rot);
         }
     }
 
@@ -2354,8 +2477,6 @@ ggml_tensor * llm_graph_context::build_attn(
 
     const auto * mctx_iswa = inp->mctx;
 
-    const bool is_swa = hparams.is_swa(il);
-
     const auto * mctx_cur = is_swa ? mctx_iswa->get_swa() : mctx_iswa->get_base();
 
     // optionally store to KV cache
@@ -2406,12 +2527,12 @@ ggml_tensor * llm_graph_context::build_attn(
         }
     }
 
-    if (inp->self_v_rot) {
-        cur = ggml_mul_mat_aux(ctx0, cur, inp->self_v_rot);
+    if (v_rot) {
+        cur = ggml_mul_mat_aux(ctx0, cur, v_rot);
     }
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2442,6 +2563,7 @@ ggml_tensor * llm_graph_context::build_attn(
         llm_graph_input_attn_cross * inp,
         ggml_tensor * wo,
         ggml_tensor * wo_b,
+        ggml_tensor * wo_s,
         ggml_tensor * q_cur,
         ggml_tensor * k_cur,
         ggml_tensor * v_cur,
@@ -2466,7 +2588,7 @@ ggml_tensor * llm_graph_context::build_attn(
     cb(cur, "kqv_out", il);
 
     if (wo) {
-        cur = build_lora_mm(wo, cur);
+        cur = build_lora_mm(wo, cur, wo_s);
     }
 
     if (wo_b) {
@@ -2509,6 +2631,9 @@ llm_graph_input_attn_kv_iswa * llm_graph_context::build_attn_inp_kv_iswa() const
     inp->self_k_rot = mctx_cur->get_base()->build_input_k_rot(ctx0);
     inp->self_v_rot = mctx_cur->get_base()->build_input_v_rot(ctx0);
 
+    inp->self_k_rot_swa = mctx_cur->get_swa()->build_input_k_rot(ctx0);
+    inp->self_v_rot_swa = mctx_cur->get_swa()->build_input_v_rot(ctx0);
+
     return (llm_graph_input_attn_kv_iswa *) res->add_input(std::move(inp));
 }
 
@@ -2542,7 +2667,7 @@ ggml_tensor * llm_graph_context::build_rs(
     ggml_build_forward_expand(gf,
         ggml_cpy(ctx0,
             states_extra,
-            ggml_view_1d(ctx0, s, state_size*(n_rs - n_seqs), (rs_head + n_seqs)*state_size*ggml_element_size(s))));
+            ggml_view_2d(ctx0, s, state_size, (n_rs - n_seqs), s->nb[1], (rs_head + n_seqs)*s->nb[1])));
 
     return output_states;
 }
diff --git a/src/llama-graph.h b/src/llama-graph.h
index bb0ad7519..5cb1756c6 100644
--- a/src/llama-graph.h
+++ b/src/llama-graph.h
@@ -17,6 +17,7 @@ struct ggml_context;
 struct ggml_tensor;
 
 struct llama_cparams;
+struct llama_layer;
 
 struct llama_memory_context_i;
 
@@ -308,7 +309,7 @@ class llm_graph_input_attn_kv : public llm_graph_input_i {
     ggml_tensor * self_kq_mask     = nullptr; // F32 [n_kv, n_batch/n_stream, 1, n_stream]
     ggml_tensor * self_kq_mask_cnv = nullptr; //     [n_kv, n_batch/n_stream, 1, n_stream]
 
-    // note: assumes v_rot^ == I
+    // note: assumes v_rot^2 == I
     ggml_tensor * self_k_rot = nullptr;
     ggml_tensor * self_v_rot = nullptr;
 
@@ -388,10 +389,12 @@ class llm_graph_input_attn_kv_iswa : public llm_graph_input_i {
     ggml_tensor * self_kq_mask_swa     = nullptr; // F32 [n_kv, n_batch/n_stream, 1, n_stream]
     ggml_tensor * self_kq_mask_swa_cnv = nullptr; //     [n_kv, n_batch/n_stream, 1, n_stream]
 
-    // note: using same rotation matrices for both base and swa cache
     ggml_tensor * self_k_rot = nullptr;
     ggml_tensor * self_v_rot = nullptr;
 
+    ggml_tensor * self_k_rot_swa = nullptr;
+    ggml_tensor * self_v_rot_swa = nullptr;
+
     const llama_hparams hparams;
     const llama_cparams cparams;
 
@@ -705,6 +708,12 @@ using llm_graph_result_ptr = std::unique_ptr<llm_graph_result>;
 // used in build_rs to properly order writes and avoid unnecessary copies
 using llm_graph_get_rows_fn = std::function<ggml_tensor * (ggml_context *, ggml_tensor * states, ggml_tensor * ids)>;
 
+struct llm_graph_qkv {
+    ggml_tensor * q; // [n_embd_head, n_head,    n_tokens]
+    ggml_tensor * k; // [n_embd_head, n_head_kv, n_tokens]
+    ggml_tensor * v; // [n_embd_head, n_head_kv, n_tokens]
+};
+
 struct llm_graph_context {
     const llm_arch arch;
 
@@ -791,6 +800,17 @@ struct llm_graph_context {
            llm_norm_type   type,
                      int   il) const;
 
+
+    // compute Q, K, V projections with optional bias and reshape
+    // supports both fused wqkv and separate wq/wk/wv paths
+    llm_graph_qkv build_qkv(
+        const llama_layer & layer,
+              ggml_tensor * cur,
+                  int64_t   n_embd_head,
+                  int64_t   n_head,
+                  int64_t   n_head_kv,
+                      int   il) const;
+
     ggml_tensor * build_ffn(
              ggml_tensor * cur,
              ggml_tensor * up,
@@ -890,6 +910,7 @@ struct llm_graph_context {
             llm_graph_input_attn_no_cache * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -905,6 +926,7 @@ struct llm_graph_context {
             llm_graph_input_attn_kv * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -920,6 +942,7 @@ struct llm_graph_context {
             llm_graph_input_attn_k * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
@@ -936,6 +959,7 @@ struct llm_graph_context {
             llm_graph_input_attn_kv_iswa * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens] optional
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens] optional
@@ -951,6 +975,7 @@ struct llm_graph_context {
             llm_graph_input_attn_cross * inp,
             ggml_tensor * wo,
             ggml_tensor * wo_b,
+            ggml_tensor * wo_s,
             ggml_tensor * q_cur, // [n_embd_head_q, n_head_q, n_tokens]
             ggml_tensor * k_cur, // [n_embd_head_k, n_head_k, n_tokens]
             ggml_tensor * v_cur, // [n_embd_head_v, n_head_v, n_tokens]
diff --git a/src/llama-hparams.h b/src/llama-hparams.h
index c2000c77c..0160a89ca 100644
--- a/src/llama-hparams.h
+++ b/src/llama-hparams.h
@@ -116,6 +116,7 @@ struct llama_hparams {
     float    rope_freq_base_train_swa  = 10000.0f;
     float    rope_freq_scale_train;
     float    rope_freq_scale_train_swa = 1.0f;
+    float    rope_scaling_alpha        = 0.0f;  // NTK-aware alpha for XDRoPE
 
     uint32_t n_ctx_orig_yarn;
     float    rope_yarn_log_mul = 0.0f;
@@ -165,6 +166,8 @@ struct llama_hparams {
     float    f_attn_out_scale = 0.0f;
     uint32_t attn_temp_length = 0;
 
+    float    f_attn_value_scale = 0.0f;
+
     bool causal_attn   = true;
     bool use_alibi     = false;
     bool attn_soft_cap = false;
diff --git a/src/llama-io.cpp b/src/llama-io.cpp
index 7ad70d163..5ec463494 100644
--- a/src/llama-io.cpp
+++ b/src/llama-io.cpp
@@ -1,5 +1,7 @@
 #include "llama-io.h"
 
+#include <vector>
+
 void llama_io_write_i::write_string(const std::string & str) {
     uint32_t str_size = str.size();
 
@@ -9,7 +11,10 @@ void llama_io_write_i::write_string(const std::string & str) {
 
 void llama_io_read_i::read_string(std::string & str) {
     uint32_t str_size;
-    read_to(&str_size, sizeof(str_size));
+    read(&str_size, sizeof(str_size));
+
+    std::vector<char> buf(str_size);
+    read(buf.data(), str_size);
 
-    str.assign((const char *) read(str_size), str_size);
+    str.assign(buf.data(), str_size);
 }
diff --git a/src/llama-io.h b/src/llama-io.h
index ce9216b83..f276af4fb 100644
--- a/src/llama-io.h
+++ b/src/llama-io.h
@@ -12,7 +12,7 @@ class llama_io_write_i {
     virtual ~llama_io_write_i() = default;
 
     virtual void write(const void * src, size_t size) = 0;
-    virtual void write_tensor(const ggml_tensor * tensor, size_t offset, size_t size) = 0;
+    virtual void write_tensor(ggml_tensor * tensor, size_t offset, size_t size) = 0;
 
     // bytes written so far
     virtual size_t n_bytes() = 0;
@@ -25,8 +25,8 @@ class llama_io_read_i {
     llama_io_read_i() = default;
     virtual ~llama_io_read_i() = default;
 
-    virtual const uint8_t * read(size_t size) = 0;
-    virtual void read_to(void * dst, size_t size) = 0;
+    virtual void read(void * dst, size_t size) = 0;
+    virtual void read_tensor(ggml_tensor * tensor, size_t offset, size_t size) = 0;
 
     // bytes read so far
     virtual size_t n_bytes() = 0;
diff --git a/src/llama-kv-cache.cpp b/src/llama-kv-cache.cpp
index e5d3d90c7..da00bb93a 100644
--- a/src/llama-kv-cache.cpp
+++ b/src/llama-kv-cache.cpp
@@ -67,6 +67,7 @@ static ggml_tensor * ggml_mul_mat_aux(
 
     res = ggml_reshape_2d(ctx, cur, n, ggml_nelements(cur)/n);
     res = ggml_mul_mat   (ctx, rot, res);
+    ggml_mul_mat_set_hint(res, GGML_HINT_SRC0_IS_HADAMARD);
     res = ggml_reshape_4d(ctx, res, cur->ne[0], cur->ne[1], cur->ne[2], cur->ne[3]);
 
     return res;
@@ -194,6 +195,18 @@ llama_kv_cache::llama_kv_cache(
             continue;
         }
 
+        if (n_embd_head_k_all == 0) {
+            n_embd_head_k_all = (int32_t) hparams.n_embd_head_k(il);
+        } else if (n_embd_head_k_all > 0 && n_embd_head_k_all != (int32_t) hparams.n_embd_head_k(il)) {
+            n_embd_head_k_all = -1;
+        }
+
+        if (n_embd_head_v_all == 0) {
+            n_embd_head_v_all = (int32_t) hparams.n_embd_head_v(il);
+        } else if (n_embd_head_v_all > 0 && n_embd_head_v_all != (int32_t) hparams.n_embd_head_v(il)) {
+            n_embd_head_v_all = -1;
+        }
+
         // [TAG_V_CACHE_VARIABLE]
         const uint32_t n_embd_k_gqa =            hparams.n_embd_k_gqa(il);
         const uint32_t n_embd_v_gqa = !v_trans ? hparams.n_embd_v_gqa(il) : hparams.n_embd_v_gqa_max();
@@ -437,23 +450,23 @@ llama_kv_cache::llama_kv_cache(
 
     attn_rot_k =
         !attn_rot_disable &&
+        n_embd_head_k_all > 0 &&
         ggml_is_quantized(type_k) &&
-        !hparams.is_n_embd_k_gqa_variable() &&
         hparams.n_embd_head_k() % 64 == 0;
 
     attn_rot_v =
         !attn_rot_disable &&
+        n_embd_head_v_all > 0 &&
         ggml_is_quantized(type_v) &&
-        !hparams.is_n_embd_v_gqa_variable() &&
         hparams.n_embd_head_v() % 64 == 0;
 
-    LLAMA_LOG_INFO("%s: attn_rot_k = %d\n", __func__, attn_rot_k);
-    LLAMA_LOG_INFO("%s: attn_rot_v = %d\n", __func__, attn_rot_v);
+    LLAMA_LOG_INFO("%s: attn_rot_k = %d, n_embd_head_k_all = %d\n", __func__, attn_rot_k, n_embd_head_k_all);
+    LLAMA_LOG_INFO("%s: attn_rot_v = %d, n_embd_head_k_all = %d\n", __func__, attn_rot_v, n_embd_head_v_all);
 
     // pre-compute the haramard matrices and keep them in host memory
     // TODO: in the future, we can make copies in the backend buffers to avoid host -> device transfers
     if (attn_rot_k || attn_rot_v) {
-        for (int64_t n = 64; n <= std::max(hparams.n_embd_head_k(), hparams.n_embd_head_v()); n *= 2) {
+        for (int64_t n = 64; n <= std::max(n_embd_head_k_all, n_embd_head_v_all); n *= 2) {
             attn_rot_hadamard[n] = std::vector<float>(n*n);
 
             ggml_init_params params = {
@@ -1535,7 +1548,7 @@ ggml_tensor * llama_kv_cache::build_input_k_rot(ggml_context * ctx) const {
         // ref: https://github.com/ggml-org/llama.cpp/pull/21038#issuecomment-4141323088
         do {
             nrot *= 2;
-        } while (hparams.n_embd_head_k() % nrot == 0);
+        } while (n_embd_head_k_all % nrot == 0);
         nrot /= 2;
 
         res = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, nrot, nrot);
@@ -2115,14 +2128,14 @@ void llama_kv_cache::state_read(llama_io_read_i & io, llama_seq_id seq_id, llama
     GGML_ASSERT(seq_id == -1 || (seq_id >= 0 && (size_t) seq_id < seq_to_stream.size()));
 
     uint32_t n_stream_cur;
-    io.read_to(&n_stream_cur, sizeof(n_stream_cur));
+    io.read(&n_stream_cur, sizeof(n_stream_cur));
     if (n_stream_cur != n_stream) {
         throw std::runtime_error("n_stream mismatch");
     }
 
     for (uint32_t s = 0; s < n_stream; ++s) {
         uint32_t cell_count;
-        io.read_to(&cell_count, sizeof(cell_count));
+        io.read(&cell_count, sizeof(cell_count));
 
         if (cell_count == 0) {
             continue;
@@ -2299,8 +2312,8 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
             llama_pos pos;
             uint32_t n_seq_id;
 
-            io.read_to(&pos,      sizeof(pos));
-            io.read_to(&n_seq_id, sizeof(n_seq_id));
+            io.read(&pos,      sizeof(pos));
+            io.read(&n_seq_id, sizeof(n_seq_id));
 
             if (n_seq_id != 1) {
                 LLAMA_LOG_ERROR("%s: invalid seq_id-agnostic kv cell\n", __func__);
@@ -2309,7 +2322,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
 
             if (hparams.n_pos_per_embd() > 1) {
                 llama_kv_cell_ext ext;
-                io.read_to(&ext, sizeof(ext));
+                io.read(&ext, sizeof(ext));
 
                 ubatch.pos[i + ubatch.n_tokens]   = ext.y;
                 ubatch.pos[i + ubatch.n_tokens*2] = ext.x;
@@ -2318,7 +2331,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
             // read the sequence id, but directly discard it - we will use dest_seq_id instead
             {
                 llama_seq_id seq_id;
-                io.read_to(&seq_id, sizeof(seq_id));
+                io.read(&seq_id, sizeof(seq_id));
             }
 
             ubatch.pos[i]      = pos;
@@ -2360,20 +2373,20 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
             llama_pos pos;
             uint32_t  n_seq_id;
 
-            io.read_to(&pos,      sizeof(pos));
-            io.read_to(&n_seq_id, sizeof(n_seq_id));
+            io.read(&pos,      sizeof(pos));
+            io.read(&n_seq_id, sizeof(n_seq_id));
 
             cells.pos_set(i, pos);
 
             if (hparams.n_pos_per_embd() > 1) {
                 llama_kv_cell_ext ext;
-                io.read_to(&ext, sizeof(ext));
+                io.read(&ext, sizeof(ext));
                 cells.ext_set(i, ext);
             }
 
             for (uint32_t j = 0; j < n_seq_id; ++j) {
                 llama_seq_id seq_id;
-                io.read_to(&seq_id, sizeof(seq_id));
+                io.read(&seq_id, sizeof(seq_id));
 
                 if (seq_id < 0 || (uint32_t) seq_id >= n_seq_max) {
                     LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, n_seq_max);
@@ -2406,8 +2419,8 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
     uint32_t v_trans;
     uint32_t n_layer;
 
-    io.read_to(&v_trans, sizeof(v_trans));
-    io.read_to(&n_layer, sizeof(n_layer));
+    io.read(&v_trans, sizeof(v_trans));
+    io.read(&n_layer, sizeof(n_layer));
 
     if (n_layer != layers.size()) {
         LLAMA_LOG_ERROR("%s: mismatched layer count (%u instead of %u)\n", __func__, n_layer, (uint32_t) layers.size());
@@ -2435,7 +2448,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
         // Read type of key
         int32_t k_type_i_ref;
-        io.read_to(&k_type_i_ref, sizeof(k_type_i_ref));
+        io.read(&k_type_i_ref, sizeof(k_type_i_ref));
         const int32_t k_type_i = (int32_t) k->type;
         if (k_type_i != k_type_i_ref) {
             LLAMA_LOG_ERROR("%s: mismatched key type (%d != %d, layer %d)\n", __func__, k_type_i, k_type_i_ref, il);
@@ -2444,7 +2457,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
         // Read row size of key
         uint64_t k_size_row_ref;
-        io.read_to(&k_size_row_ref, sizeof(k_size_row_ref));
+        io.read(&k_size_row_ref, sizeof(k_size_row_ref));
         const size_t k_size_row = ggml_row_size(k->type, n_embd_k_gqa);
         if (k_size_row != k_size_row_ref) {
             LLAMA_LOG_ERROR("%s: mismatched key row size (%zu != %zu, layer %d)\n", __func__, k_size_row, (size_t) k_size_row_ref, il);
@@ -2454,13 +2467,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
         if (cell_count) {
             if (sinfo.is_contiguous()) {
                 // Fast path: contiguous cells, single memcpy
-                ggml_backend_tensor_set(k, io.read(cell_count * k_size_row), sinfo.head() * k_size_row, cell_count * k_size_row);
+                io.read_tensor(k, sinfo.head() * k_size_row, cell_count * k_size_row);
             } else {
                 // Slow path: scatter to non-contiguous positions
-                const void * src = io.read(cell_count * k_size_row);
                 for (uint32_t i = 0; i < cell_count; ++i) {
                     const size_t dst_offset = sinfo.idxs[0][i] * k_size_row;
-                    ggml_backend_tensor_set(k, (const char*)src + i * k_size_row, dst_offset, k_size_row);
+                    io.read_tensor(k, dst_offset, k_size_row);
                 }
             }
         }
@@ -2480,7 +2492,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
             // Read type of value
             int32_t v_type_i_ref;
-            io.read_to(&v_type_i_ref, sizeof(v_type_i_ref));
+            io.read(&v_type_i_ref, sizeof(v_type_i_ref));
             const int32_t v_type_i = (int32_t) v->type;
             if (v_type_i != v_type_i_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il);
@@ -2489,7 +2501,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
             // Read row size of value
             uint64_t v_size_row_ref;
-            io.read_to(&v_size_row_ref, sizeof(v_size_row_ref));
+            io.read(&v_size_row_ref, sizeof(v_size_row_ref));
             const size_t v_size_row = ggml_row_size(v->type, n_embd_v_gqa);
             if (v_size_row != v_size_row_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched value row size (%zu != %zu, layer %d)\n", __func__, v_size_row, (size_t) v_size_row_ref, il);
@@ -2499,13 +2511,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
             if (cell_count) {
                 if (sinfo.is_contiguous()) {
                     // Fast path: contiguous cells, single memcpy
-                    ggml_backend_tensor_set(v, io.read(cell_count * v_size_row), sinfo.head() * v_size_row, cell_count * v_size_row);
+                    io.read_tensor(v, sinfo.head() * v_size_row, cell_count * v_size_row);
                 } else {
                     // Slow path: scatter to non-contiguous positions
-                    const void * src = io.read(cell_count * v_size_row);
                     for (uint32_t i = 0; i < cell_count; ++i) {
                         const size_t dst_offset = sinfo.idxs[0][i] * v_size_row;
-                        ggml_backend_tensor_set(v, (const char*)src + i * v_size_row, dst_offset, v_size_row);
+                        io.read_tensor(v, dst_offset, v_size_row);
                     }
                 }
             }
@@ -2524,7 +2535,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
             // Read type of value
             int32_t v_type_i_ref;
-            io.read_to(&v_type_i_ref, sizeof(v_type_i_ref));
+            io.read(&v_type_i_ref, sizeof(v_type_i_ref));
             const int32_t v_type_i = (int32_t) v->type;
             if (v_type_i != v_type_i_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il);
@@ -2533,7 +2544,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
             // Read element size of value
             uint32_t v_size_el_ref;
-            io.read_to(&v_size_el_ref, sizeof(v_size_el_ref));
+            io.read(&v_size_el_ref, sizeof(v_size_el_ref));
             const size_t v_size_el = ggml_type_size(v->type);
             if (v_size_el != v_size_el_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched value element size (%zu != %zu, layer %d)\n", __func__, v_size_el, (size_t) v_size_el_ref, il);
@@ -2542,7 +2553,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
 
             // Read GQA embedding size
             uint32_t n_embd_v_gqa_ref;
-            io.read_to(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref));
+            io.read(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref));
             if (n_embd_v_gqa != n_embd_v_gqa_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched GQA embedding size (%u != %u, layer %d)\n", __func__, n_embd_v_gqa, n_embd_v_gqa_ref, il);
                 return false;
@@ -2554,15 +2565,14 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
                     const uint32_t h = sinfo.head();
                     for (uint32_t j = 0; j < n_embd_v_gqa; ++j) {
                         const size_t dst_offset = (h + j * cells.size()) * v_size_el;
-                        ggml_backend_tensor_set(v, io.read(cell_count * v_size_el), dst_offset, cell_count * v_size_el);
+                        io.read_tensor(v, dst_offset, cell_count * v_size_el);
                     }
                 } else {
                     // Slow path: scatter to non-contiguous positions
                     for (uint32_t j = 0; j < n_embd_v_gqa; ++j) {
-                        const void * src = io.read(cell_count * v_size_el);
                         for (uint32_t i = 0; i < cell_count; ++i) {
                             const size_t dst_offset = (sinfo.idxs[0][i] + j * cells.size()) * v_size_el;
-                            ggml_backend_tensor_set(v, (const char*)src + i * v_size_el, dst_offset, v_size_el);
+                            io.read_tensor(v, dst_offset, v_size_el);
                         }
                     }
                 }
diff --git a/src/llama-kv-cache.h b/src/llama-kv-cache.h
index ab366c944..d19d9945d 100644
--- a/src/llama-kv-cache.h
+++ b/src/llama-kv-cache.h
@@ -248,6 +248,11 @@ class llama_kv_cache : public llama_memory_i {
     bool attn_rot_k = false;
     bool attn_rot_v = false;
 
+    // if all layers participating in the cache have constant head size, the value is stored here
+    // otherwise the value is -1
+    int32_t n_embd_head_k_all = 0;
+    int32_t n_embd_head_v_all = 0;
+
     // pre-computed hadamard martrices
     std::unordered_map<int64_t, std::vector<float>> attn_rot_hadamard;
 
diff --git a/src/llama-memory-recurrent.cpp b/src/llama-memory-recurrent.cpp
index 44209bd4c..d07a038f5 100644
--- a/src/llama-memory-recurrent.cpp
+++ b/src/llama-memory-recurrent.cpp
@@ -1,5 +1,6 @@
 #include "llama-memory-recurrent.h"
 
+#include "ggml-backend.h"
 #include "llama-impl.h"
 #include "llama-io.h"
 #include "llama-batch.h"
@@ -91,8 +92,8 @@ llama_memory_recurrent::llama_memory_recurrent(
             throw std::runtime_error("failed to create ggml context for rs cache");
         }
 
-        ggml_tensor * r = ggml_new_tensor_1d(ctx, type_r, hparams.n_embd_r()*mem_size);
-        ggml_tensor * s = ggml_new_tensor_1d(ctx, type_s, hparams.n_embd_s()*mem_size);
+        ggml_tensor * r = ggml_new_tensor_2d(ctx, type_r, hparams.n_embd_r(), mem_size);
+        ggml_tensor * s = ggml_new_tensor_2d(ctx, type_s, hparams.n_embd_s(), mem_size);
         ggml_format_name(r, "cache_r_l%d", i);
         ggml_format_name(s, "cache_s_l%d", i);
         r_l[i] = r;
@@ -742,7 +743,7 @@ void llama_memory_recurrent::state_read(llama_io_read_i & io, llama_seq_id seq_i
     GGML_UNUSED(flags);
 
     uint32_t cell_count;
-    io.read_to(&cell_count, sizeof(cell_count));
+    io.read(&cell_count, sizeof(cell_count));
 
     bool res = true;
 
@@ -783,7 +784,7 @@ void llama_memory_recurrent::state_write_data(llama_io_write_i & io, const std::
     const uint32_t n_layer = hparams.n_layer;
 
     io.write(&s_trans, sizeof(s_trans));
-    io.write(&n_layer,   sizeof(n_layer));
+    io.write(&n_layer, sizeof(n_layer));
 
     // Iterate and write all the R tensors first, each row is a cell
     // Get whole range at a time
@@ -878,8 +879,8 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell
             llama_pos pos;
             uint32_t n_seq_id;
 
-            io.read_to(&pos,      sizeof(pos));
-            io.read_to(&n_seq_id, sizeof(n_seq_id));
+            io.read(&pos,      sizeof(pos));
+            io.read(&n_seq_id, sizeof(n_seq_id));
 
             if (n_seq_id != 0) {
                 LLAMA_LOG_ERROR("%s: invalid seq_id-agnostic kv cell\n", __func__);
@@ -919,14 +920,14 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell
             llama_pos pos;
             uint32_t  n_seq_id;
 
-            io.read_to(&pos,      sizeof(pos));
-            io.read_to(&n_seq_id, sizeof(n_seq_id));
+            io.read(&pos,      sizeof(pos));
+            io.read(&n_seq_id, sizeof(n_seq_id));
 
             cell.pos = pos;
 
             for (uint32_t j = 0; j < n_seq_id; ++j) {
                 llama_seq_id seq_id;
-                io.read_to(&seq_id, sizeof(seq_id));
+                io.read(&seq_id, sizeof(seq_id));
 
                 if (seq_id < 0 || (uint32_t) seq_id >= this->n_seq_max) {
                     LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, this->n_seq_max);
@@ -960,8 +961,8 @@ bool llama_memory_recurrent::state_read_meta(llama_io_read_i & io, uint32_t cell
 bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell_count) {
     uint32_t s_trans;
     uint32_t n_layer;
-    io.read_to(&s_trans, sizeof(s_trans));
-    io.read_to(&n_layer, sizeof(n_layer));
+    io.read(&s_trans, sizeof(s_trans));
+    io.read(&n_layer, sizeof(n_layer));
 
     if (n_layer != hparams.n_layer) {
         LLAMA_LOG_ERROR("%s: mismatched layer count (%u instead of %u)\n", __func__, n_layer, hparams.n_layer);
@@ -983,7 +984,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
         // Read type of key
         int32_t r_type_i_ref;
-        io.read_to(&r_type_i_ref, sizeof(r_type_i_ref));
+        io.read(&r_type_i_ref, sizeof(r_type_i_ref));
         const int32_t r_type_i = (int32_t) r_l[il]->type;
         if (r_type_i != r_type_i_ref) {
             LLAMA_LOG_ERROR("%s: mismatched r type (%d != %d, layer %d)\n", __func__, r_type_i, r_type_i_ref, il);
@@ -992,7 +993,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
         // Read row size of key
         uint64_t r_size_row_ref;
-        io.read_to(&r_size_row_ref, sizeof(r_size_row_ref));
+        io.read(&r_size_row_ref, sizeof(r_size_row_ref));
         const size_t r_size_row = ggml_row_size(r_l[il]->type, hparams.n_embd_r());
         if (r_size_row != r_size_row_ref) {
             LLAMA_LOG_ERROR("%s: mismatched r row size (%zu != %zu, layer %d)\n", __func__, r_size_row, (size_t) r_size_row_ref, il);
@@ -1001,7 +1002,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
         if (cell_count) {
             // Read and set the keys for the whole cell range
-            ggml_backend_tensor_set(r_l[il], io.read(cell_count * r_size_row), head * r_size_row, cell_count * r_size_row);
+            io.read_tensor(r_l[il], head * r_size_row, cell_count * r_size_row);
         }
     }
 
@@ -1012,7 +1013,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             // Read type of value
             int32_t s_type_i_ref;
-            io.read_to(&s_type_i_ref, sizeof(s_type_i_ref));
+            io.read(&s_type_i_ref, sizeof(s_type_i_ref));
             const int32_t s_type_i = (int32_t)s_l[il]->type;
 
             if (s_type_i != s_type_i_ref) {
@@ -1022,7 +1023,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             // Read row size of value
             uint64_t s_size_row_ref;
-            io.read_to(&s_size_row_ref, sizeof(s_size_row_ref));
+            io.read(&s_size_row_ref, sizeof(s_size_row_ref));
             const size_t s_size_row = ggml_row_size(s_l[il]->type, hparams.n_embd_s());
             if (s_size_row != s_size_row_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched s row size (%zu != %zu, layer %d)\n", __func__, s_size_row, (size_t) s_size_row_ref, il);
@@ -1031,7 +1032,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             if (cell_count) {
                 // Read and set the values for the whole cell range
-                ggml_backend_tensor_set(s_l[il], io.read(cell_count * s_size_row), head * s_size_row, cell_count * s_size_row);
+                io.read_tensor(s_l[il], head * s_size_row, cell_count * s_size_row);
             }
         }
     } else {
@@ -1044,7 +1045,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             // Read type of value
             int32_t s_type_i_ref;
-            io.read_to(&s_type_i_ref, sizeof(s_type_i_ref));
+            io.read(&s_type_i_ref, sizeof(s_type_i_ref));
             const int32_t s_type_i = (int32_t)s_l[il]->type;
             if (s_type_i != s_type_i_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched s type (%d != %d, layer %d)\n", __func__, s_type_i, s_type_i_ref, il);
@@ -1053,7 +1054,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             // Read element size of value
             uint32_t s_size_el_ref;
-            io.read_to(&s_size_el_ref, sizeof(s_size_el_ref));
+            io.read(&s_size_el_ref, sizeof(s_size_el_ref));
             const size_t s_size_el = ggml_type_size(s_l[il]->type);
             if (s_size_el != s_size_el_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched s element size (%zu != %zu, layer %d)\n", __func__, s_size_el, (size_t) s_size_el_ref, il);
@@ -1062,7 +1063,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
 
             // Read state embedding size
             uint32_t n_embd_s_ref;
-            io.read_to(&n_embd_s_ref, sizeof(n_embd_s_ref));
+            io.read(&n_embd_s_ref, sizeof(n_embd_s_ref));
             if (n_embd_s != n_embd_s_ref) {
                 LLAMA_LOG_ERROR("%s: mismatched s embedding size (%u != %u, layer %d)\n", __func__, n_embd_s, n_embd_s_ref, il);
                 return false;
@@ -1072,7 +1073,7 @@ bool llama_memory_recurrent::state_read_data(llama_io_read_i & io, uint32_t cell
                 // For each row in the transposed matrix, read the values for the whole cell range
                 for (uint32_t j = 0; j < n_embd_s; ++j) {
                     const size_t dst_offset = (head + j * size) * s_size_el;
-                    ggml_backend_tensor_set(s_l[il], io.read(cell_count * s_size_el), dst_offset, cell_count * s_size_el);
+                    io.read_tensor(s_l[il], dst_offset, cell_count * s_size_el);
                 }
             }
         }
diff --git a/src/llama-mmap.cpp b/src/llama-mmap.cpp
index d51651c5b..9cb2336a1 100644
--- a/src/llama-mmap.cpp
+++ b/src/llama-mmap.cpp
@@ -40,6 +40,14 @@
 #include <TargetConditionals.h>
 #endif
 
+#ifdef _WIN32
+#    define llama_mmap_ftell _ftelli64
+#    define llama_mmap_fseek _fseeki64
+#else
+#    define llama_mmap_ftell ftello
+#    define llama_mmap_fseek fseeko
+#endif
+
 #ifdef __linux__
 // Older glibc headers may miss these; upstream kernel has had them for years.
 #ifndef MAP_HUGETLB
@@ -243,7 +251,7 @@ struct llama_file::impl {
 
     size_t tell() const {
         if (fd == -1) {
-            long ret = std::ftell(fp);
+            off_t ret = llama_mmap_ftell(fp);
             if (ret == -1) {
                 throw std::runtime_error(format("ftell error: %s", strerror(errno)));
             }
@@ -261,7 +269,7 @@ struct llama_file::impl {
     void seek(size_t offset, int whence) const {
         off_t ret = 0;
         if (fd == -1) {
-            ret = std::fseek(fp, (long) offset, whence);
+            ret = llama_mmap_fseek(fp, offset, whence);
         } else {
             ret = lseek(fd, offset, whence);
         }
diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp
index e72e91914..991b59813 100644
--- a/src/llama-model-loader.cpp
+++ b/src/llama-model-loader.cpp
@@ -41,6 +41,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) {
         case LLAMA_FTYPE_ALL_F32:         return "all F32";
         case LLAMA_FTYPE_MOSTLY_F16:      return "F16";
         case LLAMA_FTYPE_MOSTLY_BF16:     return "BF16";
+        case LLAMA_FTYPE_MOSTLY_Q1_0:     return "Q1_0";
         case LLAMA_FTYPE_MOSTLY_Q4_0:     return "Q4_0";
         case LLAMA_FTYPE_MOSTLY_Q4_1:     return "Q4_1";
         case LLAMA_FTYPE_MOSTLY_Q5_0:     return "Q5_0";
@@ -768,6 +769,7 @@ llama_model_loader::llama_model_loader(
             case GGML_TYPE_IQ4_XS:  ftype = LLAMA_FTYPE_MOSTLY_IQ4_XS;  break;
             case GGML_TYPE_IQ3_S:   ftype = LLAMA_FTYPE_MOSTLY_IQ3_S;   break;
             case GGML_TYPE_NVFP4:   ftype = LLAMA_FTYPE_MOSTLY_NVFP4;   break;
+            case GGML_TYPE_Q1_0:    ftype = LLAMA_FTYPE_MOSTLY_Q1_0;    break;
             default:
                 {
                     LLAMA_LOG_WARN("%s: unknown type %s\n", __func__, ggml_type_name(type_max));
diff --git a/src/llama-model-saver.cpp b/src/llama-model-saver.cpp
index 26864c18e..e83056557 100644
--- a/src/llama-model-saver.cpp
+++ b/src/llama-model-saver.cpp
@@ -268,6 +268,7 @@ void llama_model_saver::add_kv_from_model() {
     // add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN,  ???);
     add_kv(LLM_KV_ATTENTION_SCALE,                   hparams.f_attention_scale);
     add_kv(LLM_KV_ATTENTION_OUTPUT_SCALE,            hparams.f_attn_out_scale);
+    add_kv(LLM_KV_ATTENTION_VALUE_SCALE,             hparams.f_attn_value_scale);
     add_kv(LLM_KV_ATTENTION_TEMPERATURE_LENGTH,      hparams.attn_temp_length);
     add_kv(LLM_KV_ATTENTION_TEMPERATURE_SCALE,       hparams.f_attn_temp_scale);
     add_kv(LLM_KV_ATTENTION_KEY_LENGTH_MLA,          hparams.n_embd_head_k_mla_impl);
diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index d766305b6..ba3de64d0 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -1,6 +1,8 @@
 #include "llama-model.h"
 
-#include "ggml.h"
+#include "llama-arch.h"
+#include "llama-ext.h"
+#include "llama-hparams.h"
 #include "llama-impl.h"
 #include "llama-mmap.h"
 #include "llama-cparams.h"
@@ -12,10 +14,11 @@
 #include "llama-memory-hybrid-iswa.h"
 #include "llama-memory-recurrent.h"
 
-#include "ggml-cpp.h"
-
 #include "models/models.h"
 
+#include "ggml.h"
+#include "ggml-cpp.h"
+
 #include <algorithm>
 #include <cassert>
 #include <cfloat>
@@ -24,9 +27,637 @@
 #include <cmath>
 #include <functional>
 #include <map>
+#include <numeric>
 #include <regex>
 #include <sstream>
 #include <stdexcept>
+#include <string>
+#include <vector>
+
+static llama_model * llama_model_mapping(llm_arch arch, const llama_model_params & params) {
+    switch (arch) {
+        case LLM_ARCH_LLAMA:
+            return new llama_model_llama(params);
+        case LLM_ARCH_LLAMA4:
+            return new llama_model_llama4(params);
+        case LLM_ARCH_LLAMA_EMBED:
+            return new llama_model_llama_embed(params);
+        case LLM_ARCH_MAINCODER:
+            return new llama_model_maincoder(params);
+        case LLM_ARCH_DECI:
+            return new llama_model_deci(params);
+        case LLM_ARCH_BAICHUAN:
+            return new llama_model_baichuan(params);
+        case LLM_ARCH_FALCON:
+            return new llama_model_falcon(params);
+        case LLM_ARCH_GROK:
+            return new llama_model_grok(params);
+        case LLM_ARCH_STARCODER:
+            return new llama_model_starcoder(params);
+        case LLM_ARCH_REFACT:
+            return new llama_model_refact(params);
+        case LLM_ARCH_BERT:
+            return new llama_model_bert(params);
+        case LLM_ARCH_JINA_BERT_V2:
+            return new llama_model_jina_bert_v2(params);
+        case LLM_ARCH_JINA_BERT_V3:
+            return new llama_model_jina_bert_v3(params);
+        case LLM_ARCH_NOMIC_BERT:
+            return new llama_model_nomic_bert(params);
+        case LLM_ARCH_NOMIC_BERT_MOE:
+            return new llama_model_nomic_bert_moe(params);
+        case LLM_ARCH_MODERN_BERT:
+            return new llama_model_modern_bert(params);
+        case LLM_ARCH_NEO_BERT:
+            return new llama_model_neo_bert(params);
+        case LLM_ARCH_EUROBERT:
+            return new llama_model_eurobert(params);
+        case LLM_ARCH_BLOOM:
+            return new llama_model_bloom(params);
+        case LLM_ARCH_MPT:
+            return new llama_model_mpt(params);
+        case LLM_ARCH_STABLELM:
+            return new llama_model_stablelm(params);
+        case LLM_ARCH_QWEN:
+            return new llama_model_qwen(params);
+        case LLM_ARCH_QWEN2:
+            return new llama_model_qwen2(params);
+        case LLM_ARCH_DREAM:
+            return new llama_model_dream(params);
+        case LLM_ARCH_LLADA:
+            return new llama_model_llada(params);
+        case LLM_ARCH_LLADA_MOE:
+            return new llama_model_llada_moe(params);
+        case LLM_ARCH_RND1:
+            return new llama_model_rnd1(params);
+        case LLM_ARCH_QWEN2VL:
+            return new llama_model_qwen2vl(params);
+        case LLM_ARCH_QWEN2MOE:
+            return new llama_model_qwen2moe(params);
+        case LLM_ARCH_QWEN3:
+            return new llama_model_qwen3(params);
+        case LLM_ARCH_QWEN3MOE:
+            return new llama_model_qwen3moe(params);
+        case LLM_ARCH_QWEN3VL:
+            return new llama_model_qwen3vl(params);
+        case LLM_ARCH_QWEN3VLMOE:
+            return new llama_model_qwen3vlmoe(params);
+        case LLM_ARCH_PHI2:
+            return new llama_model_phi2(params);
+        case LLM_ARCH_PHI3:
+            return new llama_model_phi3(params);
+        case LLM_ARCH_PHIMOE:
+            return new llama_model_phimoe(params);
+        case LLM_ARCH_PLAMO:
+            return new llama_model_plamo(params);
+        case LLM_ARCH_PLAMO2:
+            return new llama_model_plamo2(params);
+        case LLM_ARCH_PLAMO3:
+            return new llama_model_plamo3(params);
+        case LLM_ARCH_GPT2:
+            return new llama_model_gpt2(params);
+        case LLM_ARCH_CODESHELL:
+            return new llama_model_codeshell(params);
+        case LLM_ARCH_ORION:
+            return new llama_model_orion(params);
+        case LLM_ARCH_INTERNLM2:
+            return new llama_model_internlm2(params);
+        case LLM_ARCH_MINICPM3:
+            return new llama_model_minicpm3(params);
+        case LLM_ARCH_GEMMA:
+            return new llama_model_gemma(params);
+        case LLM_ARCH_GEMMA2:
+            return new llama_model_gemma2(params);
+        case LLM_ARCH_GEMMA3:
+            return new llama_model_gemma3(params);
+        case LLM_ARCH_GEMMA3N:
+            return new llama_model_gemma3n(params);
+        case LLM_ARCH_GEMMA4:
+            return new llama_model_gemma4(params);
+        case LLM_ARCH_GEMMA_EMBEDDING:
+            return new llama_model_gemma_embedding(params);
+        case LLM_ARCH_STARCODER2:
+            return new llama_model_starcoder2(params);
+        case LLM_ARCH_MAMBA:
+            return new llama_model_mamba(params);
+        case LLM_ARCH_MAMBA2:
+            return new llama_model_mamba2(params);
+        case LLM_ARCH_JAMBA:
+            return new llama_model_jamba(params);
+        case LLM_ARCH_XVERSE:
+            return new llama_model_xverse(params);
+        case LLM_ARCH_COMMAND_R:
+            return new llama_model_command_r(params);
+        case LLM_ARCH_COHERE2:
+            return new llama_model_cohere2(params);
+        case LLM_ARCH_DBRX:
+            return new llama_model_dbrx(params);
+        case LLM_ARCH_OLMO:
+            return new llama_model_olmo(params);
+        case LLM_ARCH_OLMO2:
+            return new llama_model_olmo2(params);
+        case LLM_ARCH_OLMOE:
+            return new llama_model_olmoe(params);
+        case LLM_ARCH_OPENELM:
+            return new llama_model_openelm(params);
+        case LLM_ARCH_GPTNEOX:
+            return new llama_model_gptneox(params);
+        case LLM_ARCH_ARCTIC:
+            return new llama_model_arctic(params);
+        case LLM_ARCH_DEEPSEEK:
+            return new llama_model_deepseek(params);
+        case LLM_ARCH_DEEPSEEK2:
+            return new llama_model_deepseek2(params);
+        case LLM_ARCH_DEEPSEEK2OCR:
+            return new llama_model_deepseek2ocr(params);
+        case LLM_ARCH_GLM_DSA:
+            return new llama_model_glm_dsa(params);
+        case LLM_ARCH_MISTRAL4:
+            return new llama_model_mistral4(params);
+        case LLM_ARCH_CHATGLM:
+            return new llama_model_chatglm(params);
+        case LLM_ARCH_GLM4:
+            return new llama_model_glm4(params);
+        case LLM_ARCH_GLM4_MOE:
+            return new llama_model_glm4_moe(params);
+        case LLM_ARCH_BITNET:
+            return new llama_model_bitnet(params);
+        case LLM_ARCH_T5:
+            return new llama_model_t5(params);
+        case LLM_ARCH_T5ENCODER:
+            return new llama_model_t5encoder(params);
+        case LLM_ARCH_JAIS:
+            return new llama_model_jais(params);
+        case LLM_ARCH_JAIS2:
+            return new llama_model_jais2(params);
+        case LLM_ARCH_NEMOTRON:
+            return new llama_model_nemotron(params);
+        case LLM_ARCH_NEMOTRON_H:
+            return new llama_model_nemotron_h(params);
+        case LLM_ARCH_NEMOTRON_H_MOE:
+            return new llama_model_nemotron_h_moe(params);
+        case LLM_ARCH_EXAONE:
+            return new llama_model_exaone(params);
+        case LLM_ARCH_EXAONE4:
+            return new llama_model_exaone4(params);
+        case LLM_ARCH_EXAONE_MOE:
+            return new llama_model_exaone_moe(params);
+        case LLM_ARCH_RWKV6:
+            return new llama_model_rwkv6(params);
+        case LLM_ARCH_RWKV6QWEN2:
+            return new llama_model_rwkv6qwen2(params);
+        case LLM_ARCH_RWKV7:
+            return new llama_model_rwkv7(params);
+        case LLM_ARCH_ARWKV7:
+            return new llama_model_arwkv7(params);
+        case LLM_ARCH_GRANITE:
+            return new llama_model_granite(params);
+        case LLM_ARCH_GRANITE_MOE:
+            return new llama_model_granite_moe(params);
+        case LLM_ARCH_MINICPM:
+            return new llama_model_minicpm(params);
+        case LLM_ARCH_GRANITE_HYBRID:
+            return new llama_model_granite_hybrid(params);
+        case LLM_ARCH_CHAMELEON:
+            return new llama_model_chameleon(params);
+        case LLM_ARCH_WAVTOKENIZER_DEC:
+            return new llama_model_wavtokenizer_dec(params);
+        case LLM_ARCH_PLM:
+            return new llama_model_plm(params);
+        case LLM_ARCH_BAILINGMOE:
+            return new llama_model_bailingmoe(params);
+        case LLM_ARCH_BAILINGMOE2:
+            return new llama_model_bailingmoe2(params);
+        case LLM_ARCH_SEED_OSS:
+            return new llama_model_seed_oss(params);
+        case LLM_ARCH_DOTS1:
+            return new llama_model_dots1(params);
+        case LLM_ARCH_ARCEE:
+            return new llama_model_arcee(params);
+        case LLM_ARCH_AFMOE:
+            return new llama_model_afmoe(params);
+        case LLM_ARCH_ERNIE4_5:
+            return new llama_model_ernie4_5(params);
+        case LLM_ARCH_ERNIE4_5_MOE:
+            return new llama_model_ernie4_5_moe(params);
+        case LLM_ARCH_PADDLEOCR:
+            return new llama_model_paddleocr(params);
+        case LLM_ARCH_HUNYUAN_MOE:
+            return new llama_model_hunyuan_moe(params);
+        case LLM_ARCH_HUNYUAN_VL:
+            return new llama_model_hunyuan_vl(params);
+        case LLM_ARCH_HUNYUAN_DENSE:
+            return new llama_model_hunyuan_dense(params);
+        case LLM_ARCH_SMOLLM3:
+            return new llama_model_smollm3(params);
+        case LLM_ARCH_OPENAI_MOE:
+            return new llama_model_openai_moe(params);
+        case LLM_ARCH_FALCON_H1:
+            return new llama_model_falcon_h1(params);
+        case LLM_ARCH_LFM2:
+            return new llama_model_lfm2(params);
+        case LLM_ARCH_LFM2MOE:
+            return new llama_model_lfm2moe(params);
+        case LLM_ARCH_SMALLTHINKER:
+            return new llama_model_smallthinker(params);
+        case LLM_ARCH_GROVEMOE:
+            return new llama_model_grovemoe(params);
+        case LLM_ARCH_APERTUS:
+            return new llama_model_apertus(params);
+        case LLM_ARCH_MINIMAX_M2:
+            return new llama_model_minimax_m2(params);
+        case LLM_ARCH_COGVLM:
+            return new llama_model_cogvlm(params);
+        case LLM_ARCH_PANGU_EMBED:
+            return new llama_model_pangu_embed(params);
+        case LLM_ARCH_QWEN3NEXT:
+            return new llama_model_qwen3next(params);
+        case LLM_ARCH_QWEN35:
+            return new llama_model_qwen35(params);
+        case LLM_ARCH_QWEN35MOE:
+            return new llama_model_qwen35moe(params);
+        case LLM_ARCH_MISTRAL3:
+            return new llama_model_mistral3(params);
+        case LLM_ARCH_MIMO2:
+            return new llama_model_mimo2(params);
+        case LLM_ARCH_KIMI_LINEAR:
+            return new llama_model_kimi_linear(params);
+        case LLM_ARCH_STEP35:
+            return new llama_model_step35(params);
+        default:
+            throw std::runtime_error(std::string("unsupported model architecture: '") + llm_arch_name(arch) + "'");
+    }
+
+}
+
+llama_model * llama_model_create(llm_arch arch, const llama_model_params & params) {
+    llama_model * model = llama_model_mapping(arch, params);
+
+    if (model != nullptr) {
+        model->arch = arch;
+        auto & devices = model->devices;
+        if (!devices.empty() && devices[0].is_meta && !llm_arch_supports_sm_tensor(arch)) {
+            throw std::runtime_error(std::string("LLAMA_SPLIT_MODE_TENSOR not implemented for architecture '") + llm_arch_name(arch) + "'");
+        }
+    }
+
+    return model;
+}
+
+llama_model * llama_model_create(llama_model_loader & ml, const llama_model_params & params) {
+    llm_arch arch = ml.get_arch();
+    if (arch == LLM_ARCH_UNKNOWN) {
+        throw std::runtime_error("unknown model architecture: '" + ml.get_arch_name() + "'");
+    }
+
+    return llama_model_create(arch, params);
+}
+
+struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const struct ggml_tensor * tensor, void * userdata) {
+    const llama_meta_device_get_split_state_userdata * ud = (const llama_meta_device_get_split_state_userdata *) userdata;
+    const llama_hparams & hparams = ud->model->hparams;
+    const std::string tensor_name = tensor->name;
+
+    const std::regex pattern_q_weight        ("blk\\.\\d*\\.attn_q.weight");
+    const std::regex pattern_kv_weight       ("blk\\.\\d*\\.attn_(k|v).weight");
+    const std::regex pattern_qkv_weight      ("blk\\.\\d*\\.attn_qkv.weight");
+    const std::regex pattern_q_bias          ("blk\\.\\d*\\.attn_q\\.bias");
+    const std::regex pattern_kv_bias         ("blk\\.\\d*\\.attn_(k|v)\\.bias");
+    const std::regex pattern_qkv_bias        ("blk\\.\\d*\\.attn_qkv.bias");
+    const std::regex pattern_qk_norm         ("blk\\.\\d*\\.attn_(q|k)_norm\\.weight");
+    const std::regex pattern_kv_cache        ("cache_(k|v)_l\\d*");
+    const std::regex pattern_attn_sinks      ("blk\\.\\d*\\.attn_sinks.weight");
+    const std::regex pattern_attn_out_weight ("blk\\.\\d*\\.attn_output.weight");
+    const std::regex pattern_attn_out_bias   ("blk\\.\\d*\\.attn_output.bias");
+    const std::regex pattern_attn_gate_weight("blk\\.\\d*\\.attn_gate.weight");
+
+    const std::regex pattern_ssm_dt          ("blk\\.\\d*\\.ssm_dt.bias");
+    const std::regex pattern_ssm_a           ("blk\\.\\d*\\.ssm_a");
+    const std::regex pattern_ssm_alpha       ("blk\\.\\d*\\.ssm_alpha.weight");
+    const std::regex pattern_ssm_beta        ("blk\\.\\d*\\.ssm_beta.weight");
+    const std::regex pattern_ssm_beta_alpha  ("blk\\.\\d*\\.ssm_ba.weight");
+    const std::regex pattern_r_cache         ("cache_r_l\\d*");
+    const std::regex pattern_s_cache         ("cache_s_l\\d*");
+    const std::regex pattern_ssm_conv1d      ("blk\\.\\d*\\.ssm_conv1d.weight");
+    const std::regex pattern_ssm_out_weight  ("blk\\.\\d*\\.ssm_out.weight");
+
+    const std::regex pattern_ffn_up_gate_weight("blk\\.\\d*\\.ffn_(up|gate)(_exps)?.weight");
+    const std::regex pattern_ffn_up_gate_bias  ("blk\\.\\d*\\.ffn_(up|gate)(_exps)?.bias");
+    const std::regex pattern_ffn_gate_up_weight("blk\\.\\d*\\.ffn_gate_up(_exps)?.weight");
+    const std::regex pattern_ffn_down_weight   ("blk\\.\\d*\\.ffn_down(_exps)?.weight");
+    const std::regex pattern_ffn_down_bias     ("blk\\.\\d*\\.ffn_down.bias");
+    const std::regex pattern_ffn_down_exps_bias("blk\\.\\d*\\.ffn_down_exps.bias");
+
+    const std::regex pattern_output_weight("output\\.weight");
+    const std::regex pattern_output_bias  ("output\\.bias");
+
+    struct tensor_config {
+        ggml_backend_meta_split_axis axis;
+
+        const ggml_tensor * tensor_axis_0;
+
+        uint32_t il;
+        size_t   rotation; // when assigning tensor slices, rotate how the rounding is done for more even allocation
+    };
+
+    auto get_tensor_config_impl = [&](
+                const ggml_backend_meta_split_axis axis, const std::string & suffix = "", const std::string & suffix_fallback = "") -> tensor_config {
+        // the layers in a tensor can be inhomogeneous, if the pattern is cleanly divided by the number of GPUs there can be aliasing effects,
+        //     count only the same type of previous layers to avoid this
+        auto get_il_eff = [&](const size_t il){
+            size_t ret = 0;
+            const bool il_is_recurrent = hparams.is_recurrent(il);
+            const bool il_is_swa       = hparams.is_swa(il);
+            for (size_t il_prev = 0; il_prev < il; il_prev++) {
+                ret += hparams.is_recurrent(il_prev) == il_is_recurrent && hparams.is_swa(il_prev) == il_is_swa;
+            }
+            return ret;
+        };
+
+        uint32_t il;
+        std::string prefix;
+        size_t rotation;
+        if (tensor_name.substr(0, 4) == "blk.") {
+            const size_t length_prefix = tensor_name.find('.', 4);
+            GGML_ASSERT(length_prefix != std::string::npos);
+            prefix = tensor_name.substr(0, length_prefix + 1);
+            il = std::stoull(tensor_name.substr(4, length_prefix));
+            rotation = get_il_eff(il) % ud->n_devices;
+        } else if (tensor_name.substr(0, 6) == "cache_") {
+            const size_t layer_index_start = tensor_name.find("_l", 6);
+            GGML_ASSERT(layer_index_start != std::string::npos);
+            il = std::stoull(tensor_name.substr(layer_index_start + 2));
+            prefix = "blk." + std::to_string(il) + ".";
+            rotation = get_il_eff(il) % ud->n_devices;
+        } else {
+            il = 0;
+            rotation = hparams.n_layer % ud->n_devices;
+        }
+        const ggml_tensor * tensor_axis_0 = suffix.empty() ? tensor : ud->model->get_tensor((prefix + suffix).c_str());
+        if (tensor_axis_0 == nullptr) {
+            GGML_ASSERT(!suffix_fallback.empty());
+            tensor_axis_0 = ud->model->get_tensor((prefix + suffix_fallback).c_str());
+        }
+        GGML_ASSERT(tensor_axis_0 != nullptr);
+        return {axis, tensor_axis_0, il, rotation};
+    };
+
+    auto get_tensor_config = [&]() -> tensor_config {
+        // standard attention
+        if (std::regex_match(tensor_name, pattern_q_weight) || std::regex_match(tensor_name, pattern_kv_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_q_bias) || std::regex_match(tensor_name, pattern_kv_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_qkv_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if ( std::regex_match(tensor_name, pattern_qkv_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+        if (std::regex_match(tensor_name, pattern_qk_norm)) {
+            return get_tensor_config_impl(tensor->ne[1] == 1 ? GGML_BACKEND_SPLIT_AXIS_MIRRORED : GGML_BACKEND_SPLIT_AXIS_1, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_kv_cache) || std::regex_match(tensor_name, pattern_attn_sinks)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "attn_output.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_attn_out_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+        if (std::regex_match(tensor_name, pattern_attn_out_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        }
+
+        if (std::regex_match(tensor_name, pattern_attn_gate_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta) ||
+                std::regex_match(tensor_name, pattern_ssm_beta_alpha)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_r_cache) || std::regex_match(tensor_name, pattern_s_cache)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ssm_out.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+
+        // FFN
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ffn_down.weight", "ffn_down_exps.weight");
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_down_exps_bias)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_PARTIAL);
+        }
+
+        // output
+        if (std::regex_match(tensor_name, pattern_output_weight)) {
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1);
+        }
+        if (std::regex_match(tensor_name, pattern_output_bias)) {
+            const ggml_tensor * output_weight = ud->model->get_tensor("output.weight");
+            GGML_ASSERT(output_weight != nullptr);
+            return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0);
+        }
+
+        // everything else
+        return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED);
+    };
+
+    auto get_split_segments = [&](int axis, uint32_t il) -> std::vector<int64_t> {
+        if (ud->model->arch == LLM_ARCH_QWEN3NEXT || ud->model->arch == LLM_ARCH_QWEN35 || ud->model->arch == LLM_ARCH_QWEN35MOE) {
+            const int64_t head_k_dim = hparams.ssm_d_state;
+            const int64_t head_v_dim = hparams.ssm_d_state;
+            const int64_t n_k_heads  = hparams.ssm_n_group;
+            const int64_t n_v_heads  = hparams.ssm_dt_rank;
+            const int64_t key_dim    = head_k_dim * n_k_heads;
+            const int64_t value_dim  = head_v_dim * n_v_heads;
+
+            // both Qwen 3 Next and Qwen 3.5 support n_v_heads > n_k_heads but the broadcasting pattern is different:
+            //   - Qwen 3 Next: [k0_v0, k0_v1, k1_v2, k1_v3] (this is the default split pattern)
+            //   - Qwen 3.5:    [k0_v0, k1_v1, k0_v2, k1_v3] (needs segmenting of V on the scale of K to get the correct pattern)
+            if (ud->model->arch == LLM_ARCH_QWEN3NEXT) {
+                if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+                    GGML_ASSERT(tensor->ne[axis] == 2*key_dim + value_dim);
+                    return {key_dim, key_dim, value_dim};
+                }
+            } else {
+                const int64_t head_ratio = n_v_heads / n_k_heads;
+                if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_ssm_conv1d)) {
+                    GGML_ASSERT(tensor->ne[axis] == 2*key_dim + value_dim);
+                    return std::vector<int64_t>(2 + head_ratio, key_dim);
+                }
+                if (std::regex_match(tensor_name, pattern_attn_gate_weight) || std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+                    return std::vector<int64_t>(head_ratio, key_dim);
+                }
+                if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a) ||
+                        std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta)) {
+                    return std::vector<int64_t>(head_ratio, n_k_heads);
+                }
+                if (std::regex_match(tensor_name, pattern_r_cache)) {
+                    return std::vector<int64_t>(2 + head_ratio, key_dim * (hparams.ssm_d_conv - 1));
+                }
+                if (std::regex_match(tensor_name, pattern_s_cache)) {
+                    return std::vector<int64_t>(head_ratio, n_k_heads * head_v_dim * head_v_dim);
+                }
+            }
+
+            // the FFN is the same for Qwen 3 Next and Qwen 3.5:
+            if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+                const int64_t n_ff_exp = hparams.n_ff_exp;
+                GGML_ASSERT(tensor->ne[axis] == 2*n_ff_exp);
+                return {n_ff_exp, n_ff_exp};
+            }
+            return {tensor->ne[axis]};
+        }
+
+        if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_qkv_bias)) {
+            const int64_t n_embd      = hparams.n_embd;
+            const int64_t n_embd_gqa  = hparams.n_embd_v_gqa(il);
+            GGML_ASSERT(hparams.n_embd_k_gqa() == n_embd_gqa);
+            GGML_ASSERT(tensor->ne[axis] == n_embd + 2*n_embd_gqa);
+            return {n_embd, n_embd_gqa, n_embd_gqa};
+        }
+        if (std::regex_match(tensor_name, pattern_ffn_gate_up_weight)) {
+            const int64_t n_ff_exp = hparams.n_ff_exp;
+            GGML_ASSERT(tensor->ne[axis] == 2*n_ff_exp);
+            return {n_ff_exp, n_ff_exp};
+        }
+        return {tensor->ne[axis]};
+    };
+
+    auto get_split_granularity = [&](int64_t blck_size, uint32_t il, const std::vector<int64_t> & segments) -> std::vector<int64_t> {
+        if (hparams.is_recurrent(il)) {
+            // linear attention
+            const int64_t head_dim  = hparams.ssm_d_state;
+            const int64_t granularity_qkv = std::lcm(blck_size, head_dim);
+            if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_attn_gate_weight) ||
+                    std::regex_match(tensor_name, pattern_ssm_conv1d) || std::regex_match(tensor_name, pattern_ssm_out_weight)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv);
+            }
+            if (std::regex_match(tensor_name, pattern_ssm_dt) || std::regex_match(tensor_name, pattern_ssm_a) ||
+                    std::regex_match(tensor_name, pattern_ssm_alpha) || std::regex_match(tensor_name, pattern_ssm_beta)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv / head_dim);
+            }
+            if (std::regex_match(tensor_name, pattern_ssm_beta_alpha)) {
+                return std::vector<int64_t>(segments.size(), 2 * (granularity_qkv / head_dim));
+            }
+            if (std::regex_match(tensor_name, pattern_r_cache)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv * (hparams.ssm_d_conv - 1));
+            }
+            if (std::regex_match(tensor_name, pattern_s_cache)) {
+                return std::vector<int64_t>(segments.size(), granularity_qkv * head_dim);
+            }
+        } else {
+            // regular attention
+            const uint32_t n_gqa    = hparams.n_gqa(il);
+            const uint32_t n_embd_q = n_gqa * hparams.n_embd_head_k(il);
+            if (std::regex_match(tensor_name, pattern_attn_sinks)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {std::lcm(n_embd_q, blck_size)/n_embd_q * n_gqa};
+            }
+
+            const int64_t granularity_q = std::lcm(n_embd_q, blck_size);
+            if (std::regex_match(tensor_name, pattern_q_weight) || std::regex_match(tensor_name, pattern_q_bias)) {
+                GGML_ASSERT(segments.size() == 1);
+                // some models have Q gate tensors, for those cases the granularity needs to be doubled:
+                if (ud->model->arch == LLM_ARCH_QWEN3NEXT || ud->model->arch == LLM_ARCH_QWEN35 || ud->model->arch == LLM_ARCH_QWEN35MOE) {
+                    return {std::lcm(2*n_embd_q, blck_size)};
+                }
+                return {granularity_q};
+            }
+            if (std::regex_match(tensor_name, pattern_attn_out_weight)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {granularity_q};
+            }
+
+            const int64_t granularity_kv = granularity_q / n_gqa;
+            if (std::regex_match(tensor_name, pattern_kv_weight) ||
+                std::regex_match(tensor_name, pattern_kv_bias) ||
+                std::regex_match(tensor_name, pattern_kv_cache)) {
+                GGML_ASSERT(segments.size() == 1);
+                return {granularity_kv};
+            }
+            if (std::regex_match(tensor_name, pattern_qkv_weight) || std::regex_match(tensor_name, pattern_qkv_bias)) {
+                GGML_ASSERT(segments.size() == 3);
+                return {granularity_q, granularity_kv, granularity_kv};
+            }
+        }
+
+        // FFN
+        if (std::regex_match(tensor_name, pattern_ffn_up_gate_weight) || std::regex_match(tensor_name, pattern_ffn_up_gate_bias) ||
+                std::regex_match(tensor_name, pattern_ffn_gate_up_weight) || std::regex_match(tensor_name, pattern_ffn_down_weight)) {
+            GGML_ASSERT(segments.size() <= 2);
+            return std::vector<int64_t>(segments.size(), blck_size);
+        }
+
+        // everything else
+        GGML_ASSERT(segments.size() == 1);
+        return {1};
+    };
+
+    ggml_backend_meta_split_state split_state;
+    memset(&split_state, 0, sizeof(split_state));
+    tensor_config tc = get_tensor_config();
+    split_state.axis = tc.axis;
+    if (split_state.axis >= 0 && split_state.axis < GGML_MAX_DIMS) {
+        const int64_t ne_full = tensor->ne[split_state.axis];
+        const int64_t blck_size = ggml_blck_size(tc.tensor_axis_0->type);
+        const float * tensor_split = ud->model->tensor_split();
+        std::vector<float> tensor_split_scan;
+        tensor_split_scan.reserve(ud->n_devices);
+        for (size_t j = 0; j < ud->n_devices; j++) {
+            tensor_split_scan.push_back(tensor_split == nullptr ? 0.0f : tensor_split[(j + tc.rotation) % ud->n_devices]);
+            if (j > 0) {
+                tensor_split_scan[j] += tensor_split_scan[j - 1];
+            }
+        }
+        const std::vector<int64_t> segments = get_split_segments(split_state.axis, tc.il);
+        const std::vector<int64_t> granularity = get_split_granularity(blck_size, tc.il, segments);
+        for (size_t is = 0; is < segments.size(); is++) {
+            const int64_t ne_s = segments[is];
+            const int64_t g_s = granularity[is];
+            GGML_ASSERT(ne_full % g_s == 0);
+            int64_t low = 0;
+            size_t j = 0;
+            for (; j < ud->n_devices - 1; j++) {
+                int64_t high = tensor_split_scan.back() == 0.0f ?
+                    ne_s * (j+1)/ud->n_devices : ne_s * tensor_split_scan[j]/tensor_split_scan.back();
+                if (high % g_s != 0) {
+                    high -= high % g_s;
+                }
+                split_state.ne[is*ud->n_devices + (j + tc.rotation) % ud->n_devices] = high - low;
+                low = high;
+            }
+            split_state.ne[is*ud->n_devices + (j + tc.rotation) % ud->n_devices] = ne_s - low;
+        }
+        split_state.n_segments = segments.size();
+    } else {
+        memset(split_state.ne, 0, sizeof(split_state.ne));
+        split_state.n_segments = 1;
+    }
+    return split_state;
+    GGML_UNUSED(userdata);
+}
 
 const char * llm_type_name(llm_type type) {
     switch (type) {
@@ -93,6 +724,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_26B:           return "26B";
         case LLM_TYPE_27B:           return "27B";
         case LLM_TYPE_30B:           return "30B";
+        case LLM_TYPE_31B:           return "31B";
         case LLM_TYPE_32B:           return "32B";
         case LLM_TYPE_34B:           return "34B";
         case LLM_TYPE_35B:           return "35B";
@@ -127,6 +759,7 @@ const char * llm_type_name(llm_type type) {
         case LLM_TYPE_16B_A1B:       return "16B.A1B";
         case LLM_TYPE_21B_A3B:       return "21B.A3B";
         case LLM_TYPE_24B_A2B:       return "24B.A2B";
+        case LLM_TYPE_26B_A4B:       return "26B.A4B";
         case LLM_TYPE_30B_A3B:       return "30B.A3B";
         case LLM_TYPE_31B_A3_5B:     return "31B.A3.5B";
         case LLM_TYPE_35B_A3B:       return "35B.A3B";
@@ -181,7 +814,7 @@ static llama_rope_scaling_type llama_rope_scaling_type_from_string(const std::st
 }
 
 // CPU: ACCEL -> GPU host -> CPU extra -> CPU
-static buft_list_t make_cpu_buft_list(const std::vector<ggml_backend_dev_t> & devices, bool use_extra_bufts, bool no_host) {
+static buft_list_t make_cpu_buft_list(const std::vector<llama_device> & devices, bool use_extra_bufts, bool no_host) {
     buft_list_t buft_list;
 
     // add ACCEL buffer types
@@ -203,10 +836,10 @@ static buft_list_t make_cpu_buft_list(const std::vector<ggml_backend_dev_t> & de
     // a better approach would be to handle this on a weight-by-weight basis using the offload_op
     // function of the device to determine if it would benefit from being stored in a host buffer
     if (!no_host) {
-        for (auto * dev : devices) {
-            ggml_backend_buffer_type_t buft = ggml_backend_dev_host_buffer_type(dev);
+        for (const auto & dev : devices) {
+            ggml_backend_buffer_type_t buft = ggml_backend_dev_host_buffer_type(dev.dev);
             if (buft) {
-                buft_list.emplace_back(dev, buft);
+                buft_list.emplace_back(dev.dev, buft);
                 break;
             }
         }
@@ -273,14 +906,16 @@ static buft_list_t make_gpu_buft_list(ggml_backend_dev_t dev, llama_split_mode s
 
     // add the device extra buffer type (if any)
     ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
-    auto ggml_backend_dev_get_extra_bufts_fn = (ggml_backend_dev_get_extra_bufts_t)
-        ggml_backend_reg_get_proc_address(reg, "ggml_backend_dev_get_extra_bufts");
-
-    if (ggml_backend_dev_get_extra_bufts_fn) {
-        ggml_backend_buffer_type_t * extra_bufts = ggml_backend_dev_get_extra_bufts_fn(dev);
-        while (extra_bufts && *extra_bufts) {
-            buft_list.emplace_back(dev, *extra_bufts);
-            ++extra_bufts;
+    if (reg) {
+        auto ggml_backend_dev_get_extra_bufts_fn = (ggml_backend_dev_get_extra_bufts_t)
+            ggml_backend_reg_get_proc_address(reg, "ggml_backend_dev_get_extra_bufts");
+
+        if (ggml_backend_dev_get_extra_bufts_fn) {
+            ggml_backend_buffer_type_t * extra_bufts = ggml_backend_dev_get_extra_bufts_fn(dev);
+            while (extra_bufts && *extra_bufts) {
+                buft_list.emplace_back(dev, *extra_bufts);
+                ++extra_bufts;
+            }
         }
     }
 
@@ -332,19 +967,12 @@ llama_model::~llama_model() {
     }
 }
 
-void llama_model::load_stats(llama_model_loader & ml) {
+void llama_model_base::load_stats(llama_model_loader & ml) {
     pimpl->n_elements = ml.n_elements;
     pimpl->n_bytes = ml.n_bytes;
 }
 
-void llama_model::load_arch(llama_model_loader & ml) {
-    arch = ml.get_arch();
-    if (arch == LLM_ARCH_UNKNOWN) {
-        throw std::runtime_error("unknown model architecture: '" + ml.get_arch_name() + "'");
-    }
-}
-
-void llama_model::load_hparams(llama_model_loader & ml) {
+void llama_model_base::load_hparams(llama_model_loader & ml) {
     const gguf_context * ctx = ml.metadata;
 
     // get metadata as string
@@ -378,6 +1006,13 @@ void llama_model::load_hparams(llama_model_loader & ml) {
     ml.get_key(LLM_KV_EXPERT_GROUP_COUNT,      hparams.n_expert_groups, false);
     ml.get_key(LLM_KV_EXPERT_GROUP_USED_COUNT, hparams.n_group_used,    false);
 
+    if (arch == LLM_ARCH_HUNYUAN_VL || arch == LLM_ARCH_HUNYUAN_DENSE) {
+        if (hparams.n_expert <= 1) {
+            hparams.n_expert      = 0;
+            hparams.n_expert_used = 0;
+        }
+    }
+
     if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
         ml.get_key(LLM_KV_FEATURES_LENGTH,  hparams.n_embd);
         ml.get_key(LLM_KV_EMBEDDING_LENGTH, hparams.n_embd_out_impl);
@@ -456,6 +1091,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
     hparams.rope_freq_scale_train = ropescale == 0.0f ? 1.0f : 1.0f/ropescale;
 
     ml.get_key(LLM_KV_ROPE_SCALING_ATTN_FACTOR, hparams.rope_attn_factor, false);
+    ml.get_key(LLM_KV_ROPE_SCALING_ALPHA,       hparams.rope_scaling_alpha, false);
 
     // non-transformer models do not have attention heads
     if (hparams.n_head() > 0) {
@@ -505,8414 +1141,925 @@ void llama_model::load_hparams(llama_model_loader & ml) {
         hparams.n_cls_out = classifier_labels.size();
     }
 
-    // arch-specific KVs
-    switch (arch) {
-        case LLM_ARCH_LLAMA:
-        case LLM_ARCH_LLAMA_EMBED:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // per-arch hparams
+    load_arch_hparams(ml);
 
-                if (hparams.n_expert == 8) {
-                    switch (hparams.n_layer) {
-                        case 32: type = LLM_TYPE_8x7B; break;
-                        case 56: type = LLM_TYPE_8x22B; break;
-                        default: type = LLM_TYPE_UNKNOWN;
-                    }
-                } else {
-                    switch (hparams.n_layer) {
-                        case 16: type = LLM_TYPE_1B; break; // Llama 3.2 1B
-                        case 22: type = LLM_TYPE_1B; break;
-                        case 26: type = LLM_TYPE_3B; break;
-                        case 28: type = LLM_TYPE_3B; break; // Llama 3.2 3B
-                        case 30: type = LLM_TYPE_256M; break; // smoldocling 256M
-                        // granite uses a vocab with len 49152
-                        case 32: type = n_vocab == 49152 ? LLM_TYPE_3B : (n_vocab < 40000 ? LLM_TYPE_7B : LLM_TYPE_8B); break;
-                        case 36: type = LLM_TYPE_8B; break; // granite
-                        case 40: type = LLM_TYPE_13B; break;
-                        case 48: type = LLM_TYPE_34B; break;
-                        case 60: type = LLM_TYPE_30B; break;
-                        case 80: type = hparams.n_head() == hparams.n_head_kv() ? LLM_TYPE_65B : LLM_TYPE_70B; break;
-                        default: type = LLM_TYPE_UNKNOWN;
-                    }
-                }
-            } break;
-        case LLM_ARCH_LLAMA4:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,   hparams.n_moe_layer_step);
-
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-                if (found_swa && hparams.n_swa == 0) {
-                    hparams.swa_type             = LLAMA_SWA_TYPE_NONE;
-                    hparams.n_no_rope_layer_step = hparams.n_layer; // always use rope
-                } else {
-                    hparams.swa_type                = LLAMA_SWA_TYPE_CHUNKED;
-                    hparams.n_swa                   = 8192;
-                    hparams.n_attn_temp_floor_scale = 8192;
-                    hparams.f_attn_temp_scale       = 0.1f;
-                    hparams.f_attn_temp_offset      = 1.0f;
-                    uint32_t swa_period             = 4; // pattern: 3 chunked - 1 full
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-
-                    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                }
+    pimpl->n_bytes = ml.n_bytes;
 
-                switch (hparams.n_expert) {
-                    case 0: {
-                        // MobileLLM (no MoE)
-                        switch (hparams.n_embd) {
-                            case 2048: type = LLM_TYPE_140M; break;
-                            case 4096: type = LLM_TYPE_360M; break;
-                            case 6144: type = LLM_TYPE_950M; break;
-                            default:   type = LLM_TYPE_UNKNOWN;
-                        }
-                    } break;
-                    case 16:  type = LLM_TYPE_17B_16E; break;
-                    case 128: type = LLM_TYPE_17B_128E; break;
-                    default:  type = LLM_TYPE_UNKNOWN;
-                }
+    pimpl->desc_str = arch_name() + " " + type_name() + " " + ml.ftype_name();
 
-                hparams.use_kq_norm = type != LLM_TYPE_17B_128E;
-            } break;
-        case LLM_ARCH_ARCEE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                // Arcee uses the same structure as Llama
-                switch (hparams.n_layer) {
-                    case 36: type = LLM_TYPE_4B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_AFMOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
-
-                // Set up interleaved sliding window attention (ISWA)
-                // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4)
-                if (hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    uint32_t swa_period = 4;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-
-                    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                } else {
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
-                }
-
-                // Default to sigmoid if not set
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
-                }
-
-                switch (hparams.n_layer) {
-                    case 56: type = LLM_TYPE_6B; break;
-                    case 32: type = LLM_TYPE_26B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DECI:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 80: type = LLM_TYPE_70B; break;
-                    case 162: type = LLM_TYPE_405B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MINICPM:
-            {
-                // Backward-compatible defaults for older MiniCPM GGUFs
-                hparams.f_embedding_scale = 12.0f;
-                hparams.f_residual_scale  = 1.4f / sqrtf(float(hparams.n_layer));
-                hparams.f_logit_scale     = hparams.n_embd ? (256.0f / float(hparams.n_embd)) : 1.0f;
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                // Optional KV reads, override defaults if present in newer GGUF exports
-                ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /*required=*/false);
-                ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /*required=*/false);
-                ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /*required=*/false);
-
-                // MiniCPM uses rope by default, unlike Granite which uses it as a switch
-                hparams.rope_finetuned = true;
-
-                switch (hparams.n_layer) {
-                    case 52: type = LLM_TYPE_1B; break;
-                    case 40: type = LLM_TYPE_2B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MINICPM3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK,       hparams.n_lora_q);
-                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,      hparams.n_lora_kv);
+    if (hparams.f_max_alibi_bias > 0.0f) {
+        hparams.use_alibi = true;
+    }
 
-                switch (hparams.n_layer) {
-                    case 62: type = LLM_TYPE_4B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GROK:
-            {
-                // defaults for old GGUFs
-                hparams.yarn_beta_fast = 8.0f;
-                hparams.f_logit_scale = 0.5773502691896257f;
-                hparams.f_embedding_scale = 78.38367176906169f;
-                hparams.f_attn_out_scale = 0.08838834764831845f;
-                hparams.f_attn_logit_softcapping = 30.0f;
-                hparams.f_router_logit_softcapping = 30.0f;
-                // no final_logit_softcapping in grok-1
-                hparams.f_final_logit_softcapping = 0.0f;
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,  hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,   hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_LOGIT_SCALE,                  hparams.f_logit_scale, false);
-                ml.get_key(LLM_KV_EMBEDDING_SCALE,              hparams.f_embedding_scale, false);
-                ml.get_key(LLM_KV_ATTENTION_OUTPUT_SCALE,       hparams.f_attn_out_scale, false);
-                ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING,       hparams.f_attn_logit_softcapping, false);
-                ml.get_key(LLM_KV_ROUTER_LOGIT_SOFTCAPPING,     hparams.f_router_logit_softcapping, false);
-                ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,      hparams.f_final_logit_softcapping, false);
-
-                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH,  hparams.attn_temp_length, false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR,  hparams.yarn_ext_factor, false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, hparams.yarn_attn_factor, false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST,   hparams.yarn_beta_fast, false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW,   hparams.yarn_beta_slow, false);
-
-                switch (hparams.n_layer) {
-                    case 64: type = LLM_TYPE_314B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_FALCON:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    hparams.rope_type = llama_model_rope_type(this);
+}
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 60: type = LLM_TYPE_40B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_BAICHUAN:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_13B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+void llama_model_base::load_vocab(llama_model_loader & ml) {
+    const auto kv = LLM_KV(arch);
 
-                if (type == LLM_TYPE_13B) {
-                    // TODO: become GGUF KV parameter
-                    hparams.f_max_alibi_bias = 8.0f;
-                }
-            } break;
-        case LLM_ARCH_STARCODER:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1B; break;
-                    case 36: type = LLM_TYPE_3B; break;
-                    case 42: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_15B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_REFACT:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_1B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+    vocab.load(ml, kv);
+}
 
-                // TODO: become GGUF KV parameter
-                hparams.f_max_alibi_bias = 8.0f;
-            } break;
-        case LLM_ARCH_BERT:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-
-                switch (hparams.n_layer) {
-                    case 3:
-                        type = LLM_TYPE_17M; break; // bge-micro
-                    case 6:
-                        type = LLM_TYPE_22M; break; // MiniLM-L6
-                    case 12:
-                        switch (hparams.n_embd) {
-                            case 384: type = LLM_TYPE_33M; break; // MiniLM-L12, bge-small
-                            case 768: type = LLM_TYPE_109M; break; // bge-base
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 24:
-                        type = LLM_TYPE_335M; break; // bge-large
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MODERN_BERT:
-            {
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-                if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                    uint32_t swa_period = 3;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period, true);
-                } else {
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
-                }
+bool llama_model_base::load_tensors(llama_model_loader & ml) {
+    const auto & split_mode   = params.split_mode;
+    const auto & use_mlock    = params.use_mlock;
+    const auto & tensor_split = params.tensor_split;
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    const int n_layer      = hparams.n_layer;
+    const int n_gpu_layers = this->n_gpu_layers();
 
-                switch (hparams.n_layer) {
-                    case 12:
-                        type = LLM_TYPE_47M; break; // granite-embedding-small
-                    case 22:
-                        type = LLM_TYPE_149M; break; // modern-bert-base
-                    case 28:
-                        type = LLM_TYPE_395M; break; // modern-bert-large
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_JINA_BERT_V2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                hparams.f_max_alibi_bias = 8.0f;
+    const bool use_mmap_buffer = true;
 
-                switch (hparams.n_layer) {
-                    case 4:  type = LLM_TYPE_33M;  break; // jina-embeddings-small
-                    case 12: type = LLM_TYPE_137M; break; // jina-embeddings-base
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_JINA_BERT_V3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+    this->ml = &ml; // to be used by create_tensor() and load_arch_tensors()
 
-                switch (hparams.n_layer) {
-                    case 24:
-                        type = LLM_TYPE_558M; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_NOMIC_BERT:
-        case LLM_ARCH_NOMIC_BERT_MOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS,         hparams.moe_every_n_layers, 0);
-
-                if (hparams.n_layer == 12 && hparams.n_embd == 768) {
-                    if (arch == LLM_ARCH_NOMIC_BERT) {
-                        type = LLM_TYPE_137M;
-                    } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) {
-                        type = LLM_TYPE_475M;
-                    }
-                }
-            } break;
-        case LLM_ARCH_NEO_BERT:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    LLAMA_LOG_INFO("%s: loading model tensors, this can take a while... (mmap = %s, direct_io = %s)\n",
+        __func__, ml.use_mmap ? "true" : "false", ml.use_direct_io ? "true" : "false");
 
-                if (hparams.n_layer == 28) {
-                    type = LLM_TYPE_250M;
-                }
-            } break;
-        case LLM_ARCH_EUROBERT:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // build a list of buffer types for the CPU and GPU devices
+    pimpl->cpu_buft_list = make_cpu_buft_list(devices, params.use_extra_bufts, params.no_host);
+    for (const auto & dev : devices) {
+        buft_list_t buft_list = make_gpu_buft_list(dev.dev, split_mode, tensor_split);
+        // add CPU buffer types as a fallback
+        buft_list.insert(buft_list.end(), pimpl->cpu_buft_list.begin(), pimpl->cpu_buft_list.end());
+        pimpl->gpu_buft_list.emplace(dev.dev, std::move(buft_list));
+    }
 
-                if (hparams.n_layer == 12) {
-                    type = LLM_TYPE_SMALL;  // 0.2B
-                }
-            } break;
-        case LLM_ARCH_BLOOM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1B; break;
-                    case 30:
-                        switch (hparams.n_embd) {
-                            case 2560: type = LLM_TYPE_3B; break;
-                            case 4096: type = LLM_TYPE_7B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+    ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+    if (cpu_dev == nullptr) {
+        throw std::runtime_error(format("%s: no CPU backend found", __func__));
+    }
 
-                // TODO: become GGUF KV parameter
-                hparams.f_max_alibi_bias = 8.0f;
-            } break;
-        case LLM_ARCH_MPT:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,  hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,      hparams.f_clamp_kqv, false);
-                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 48: type = LLM_TYPE_30B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_STABLELM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_3B; break;
-                    case 40: type = LLM_TYPE_12B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-            } break;
-        case LLM_ARCH_QWEN:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // calculate the split points
+    bool all_zero = tensor_split == nullptr || std::all_of(tensor_split, tensor_split + n_devices(), [](float x) { return x == 0.0f; });
+    std::vector<float> splits(n_devices());
+    if (all_zero) {
+        // default split, by free memory
+        for (size_t i = 0; i < n_devices(); ++i) {
+            ggml_backend_dev_t dev = devices[i].dev;
+            size_t total;
+            size_t free;
+            ggml_backend_dev_memory(dev, &free, &total);
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_13B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN2VL:
-            {
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
-            }
-            // fall through
-        case LLM_ARCH_QWEN2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_5B : LLM_TYPE_1B; break;
-                    case 28: type = hparams.n_embd == 1536 ? LLM_TYPE_1_5B : LLM_TYPE_7B; break;
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 36: type = LLM_TYPE_3B; break;
-                    case 40: type = hparams.n_head() == 20 ? LLM_TYPE_4B : LLM_TYPE_13B; break;
-                    case 48: type = LLM_TYPE_14B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    case 80: type = LLM_TYPE_70B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DREAM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                // Dream models are primarily 7B with 28 layers
-                switch (hparams.n_layer) {
-                    case 28:
-                        type = LLM_TYPE_7B;
-                        break;
-                    default:
-                        type = LLM_TYPE_UNKNOWN;
-                }
-                // Set non-causal attention for diffusion models
-                hparams.causal_attn = false;
-            }
-            break;
-        case LLM_ARCH_LLADA:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                // LLaDA-8B has 32 layers, similar to LLaMA but for diffusion
-                switch (hparams.n_layer) {
-                    case 32:
-                        type = LLM_TYPE_8B;
-                        break;
-                    default:
-                        type = LLM_TYPE_UNKNOWN;
-                }
-                // Set non-causal attention for diffusion models
-                hparams.causal_attn = false;
+            // devices can return 0 bytes for free and total memory if they do not
+            // have any to report. in this case, we will use the host memory as a fallback
+            // fixes: https://github.com/ggml-org/llama.cpp/issues/18577
+            if (free == 0 && total == 0) {
+                ggml_backend_dev_memory(cpu_dev, &free, &total);
             }
-            break;
-        case LLM_ARCH_LLADA_MOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                // diffusion language model uses non-causal attention
-                hparams.causal_attn = false;
-                switch (hparams.n_layer) {
-                    case 16: type = LLM_TYPE_A1_7B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_RND1:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
+            splits[i] = free;
+        }
+    } else {
+        std::copy(tensor_split, tensor_split + n_devices(), splits.begin());
+    }
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_30B_A3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-                // Set non-causal attention for diffusion models
-                hparams.causal_attn = false;
-            } break;
-        case LLM_ARCH_QWEN2MOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_A2_7B; break;
-                    case 28: type = LLM_TYPE_57B_A14B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 28: type = hparams.n_embd == 1024 ? LLM_TYPE_0_6B : LLM_TYPE_1_7B; break;
-                    case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break;
-                    case 40: type = LLM_TYPE_14B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MAINCODER:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_1B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN3VL:
-            {
-                ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 28: type = LLM_TYPE_1_7B; break;
-                    case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN3MOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
+    // sum and normalize the splits to get the split points
+    float split_sum = 0.0f;
+    for (size_t i = 0; i < n_devices(); ++i) {
+        split_sum += splits[i];
+        splits[i] = split_sum;
+    }
+    for (size_t i = 0; i < n_devices(); ++i) {
+        splits[i] /= split_sum;
+    }
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_30B_A3B; break;
-                    case 94: type = LLM_TYPE_235B_A22B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN3VLMOE:
-            {
-                ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_30B_A3B; break;
-                    case 94: type = LLM_TYPE_235B_A22B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PHI2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    const int i_gpu_start = std::max(int(hparams.n_layer) + 1 - n_gpu_layers, 0);
+    const int act_gpu_layers = devices.empty() ? 0 : std::min(n_gpu_layers, int(n_layer) + 1);
+    auto get_layer_buft_list = [&](int il) -> llama_model::impl::layer_dev {
+        const bool is_swa = il < int(hparams.n_layer) && hparams.is_swa(il);
+        if (il < i_gpu_start || (il - i_gpu_start) >= act_gpu_layers) {
+            LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(cpu_dev), is_swa);
+            return {cpu_dev, &pimpl->cpu_buft_list};
+        }
+        const int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + n_devices(), float(il - i_gpu_start)/act_gpu_layers) - splits.begin();
+        auto * dev = devices.at(layer_gpu).dev;
+        LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(dev), is_swa);
+        return {dev, &pimpl->gpu_buft_list.at(dev)};
+    };
 
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PHI3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // assign the input layer
+    // there is very little benefit to offloading the input layer, so always keep it on the CPU
+    pimpl->dev_input = { cpu_dev, &pimpl->cpu_buft_list };
 
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_3B; break;
-                    case 40: type = LLM_TYPE_14B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+    // assign the repeating layers to the devices according to the splits
+    pimpl->dev_layer.resize(n_layer);
+    for (int il = 0; il < n_layer; ++il) {
+        pimpl->dev_layer[il] = get_layer_buft_list(il);
+    }
 
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    // assign the output layer
+    pimpl->dev_output = get_layer_buft_list(n_layer);
 
-                if (found_swa && hparams.n_swa > 0) {
-                    LLAMA_LOG_WARN("%s: Phi SWA is currently disabled - results might be suboptimal for some models (see %s)\n",
-                            __func__, "https://github.com/ggml-org/llama.cpp/pull/13676");
+    const auto TENSOR_NOT_REQUIRED = llama_model_loader::TENSOR_NOT_REQUIRED;
 
-                    // TODO: fix conversion scripts to correctly populate `n_swa` and `n_swa_pattern`
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    // create tensors for the weights
+    {
+        // TODO: move to a separate function
+        const auto tn = LLM_TN(arch);
 
-                    hparams.n_swa         = 0;
-                    hparams.set_swa_pattern(1);
-                }
-            } break;
-        case LLM_ARCH_PHIMOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        const int64_t n_expert      = hparams.n_expert;
+        const int64_t n_expert_used = hparams.n_expert_used;
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_16x3_8B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PLAMO:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        if (n_expert > 0 && n_expert_used == 0) {
+            throw std::runtime_error("model has expert layers but no expert layers are used");
+        }
 
-                switch (hparams.n_layer) {
-                    case 40: type = LLM_TYPE_13B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-            } break;
-        case LLM_ARCH_PLAMO2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        layers.resize(n_layer);
 
-                // Load Mamba SSM parameters
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+        // call the per-model loading function
+        load_arch_tensors(ml);
 
-                for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                    hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
-                }
+        // generic pass: load optional per-tensor/per-expert ".scale" tensors (e.g. NVFP4 scale2)
+        // this avoids having to add scale loading to every architecture
+        for (int i = 0; i < n_layer; ++i) {
+            auto & layer = layers[i];
 
-                switch (hparams.n_layer) {
-                    case 16: type = LLM_TYPE_1B; break;
-                    case 32:
-                        if (hparams.n_embd == 2048) {
-                            type = LLM_TYPE_2B;
-                        } else if (hparams.n_embd == 4096) {
-                            type = LLM_TYPE_8B;
-                        }
-                        break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PLAMO3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-                if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                    uint32_t swa_period = 8;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-                } else {
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
-                }
+            // attention weight scales (per-tensor, shape {1})
+            if (!layer.wq_s && layer.wq) {
+                layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wk_s && layer.wk) {
+                layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wv_s && layer.wv) {
+                layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wo_s && layer.wo) {
+                layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_s && layer.wqkv) {
+                layer.wqkv_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_gate_s && layer.wqkv_gate) {
+                layer.wqkv_gate_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
 
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_2B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GPT2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 12: type = LLM_TYPE_SMALL; break;
-                    case 24: type = LLM_TYPE_MEDIUM; break;
-                    case 36: type = LLM_TYPE_LARGE; break;
-                    case 48: type = LLM_TYPE_XL; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_CODESHELL:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 42: type = LLM_TYPE_7B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_ORION:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+            // dense FFN weight scales (per-tensor, shape {1})
+            if (!layer.ffn_gate_s && layer.ffn_gate) {
+                layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_s && layer.ffn_down) {
+                layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_s && layer.ffn_up) {
+                layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_shexp_s && layer.ffn_gate_shexp) {
+                layer.ffn_gate_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_shexp_s && layer.ffn_down_shexp) {
+                layer.ffn_down_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_shexp_s && layer.ffn_up_shexp) {
+                layer.ffn_up_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
 
-                switch (hparams.n_layer) {
-                    case 40: type = LLM_TYPE_14B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_INTERNLM2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 48: type = LLM_TYPE_20B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GEMMA:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+            // MoE expert weight scales (per-expert, shape {n_expert})
+            if (!layer.ffn_gate_exps_s && layer.ffn_gate_exps) {
+                layer.ffn_gate_exps_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_exps_s && layer.ffn_down_exps) {
+                layer.ffn_down_exps_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_exps_s && layer.ffn_up_exps) {
+                layer.ffn_up_exps_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
 
-                switch (hparams.n_layer) {
-                    case 18: type = LLM_TYPE_2B; break;
-                    case 28: type = LLM_TYPE_7B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-            } break;
-        case LLM_ARCH_GEMMA2:
-            {
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.n_swa = 4096; // default value of gemma 2
-                uint32_t swa_period = 2;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.set_swa_pattern(swa_period);
-                hparams.attn_soft_cap = true;
-                hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING,      hparams.f_attn_logit_softcapping, false);
-                ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,     hparams.f_final_logit_softcapping, false);
-
-                switch (hparams.n_layer) {
-                    case 26: type = LLM_TYPE_2B; break;
-                    case 42: type = LLM_TYPE_9B; break;
-                    case 46: type = LLM_TYPE_27B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-
-                // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173
-                hparams.f_attention_scale = type == LLM_TYPE_27B
-                    ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
-                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
-            } break;
-        case LLM_ARCH_GEMMA3:
-            {
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-                if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    uint32_t swa_period = 6;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                } else {
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
-                }
+            // recurrent / linear-attention weight scales (per-tensor, shape {1})
+            if (!layer.ssm_in_s && layer.ssm_in) {
+                layer.ssm_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_out_s && layer.ssm_out) {
+                layer.ssm_out_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_alpha_s && layer.ssm_alpha) {
+                layer.ssm_alpha_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_beta_s && layer.ssm_beta) {
+                layer.ssm_beta_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
 
-                hparams.f_final_logit_softcapping = 0.0f;
-                ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                    case 18: type = LLM_TYPE_270M; break;
-                    case 26: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_8B; break; // Rnj-1
-                    case 34: type = LLM_TYPE_4B; break;
-                    case 48: type = LLM_TYPE_12B; break;
-                    case 62: type = LLM_TYPE_27B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+            // input scales
+            if (!layer.wq_in_s && layer.wq) {
+                layer.wq_in_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wk_in_s && layer.wk) {
+                layer.wk_in_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wv_in_s && layer.wv) {
+                layer.wv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wo_in_s && layer.wo) {
+                layer.wo_in_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_in_s && layer.wqkv) {
+                layer.wqkv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.wqkv_gate_in_s && layer.wqkv_gate) {
+                layer.wqkv_gate_in_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_in_s && layer.ffn_gate) {
+                layer.ffn_gate_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_in_s && layer.ffn_down) {
+                layer.ffn_down_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_in_s && layer.ffn_up) {
+                layer.ffn_up_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_exps_in_s && layer.ffn_gate_exps) {
+                layer.ffn_gate_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_exps_in_s && layer.ffn_down_exps) {
+                layer.ffn_down_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_exps_in_s && layer.ffn_up_exps) {
+                layer.ffn_up_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_gate_shexp_in_s && layer.ffn_gate_shexp) {
+                layer.ffn_gate_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_down_shexp_in_s && layer.ffn_down_shexp) {
+                layer.ffn_down_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ffn_up_shexp_in_s && layer.ffn_up_shexp) {
+                layer.ffn_up_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_in_in_s && layer.ssm_in) {
+                layer.ssm_in_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_out_in_s && layer.ssm_out) {
+                layer.ssm_out_in_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_alpha_in_s && layer.ssm_alpha) {
+                layer.ssm_alpha_in_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+            if (!layer.ssm_beta_in_s && layer.ssm_beta) {
+                layer.ssm_beta_in_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
+            }
+        }
+    }
 
-                // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289
-                hparams.f_attention_scale = type == LLM_TYPE_27B
-                    ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
-                    : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
-            } break;
-        case LLM_ARCH_GEMMA3N:
-            {
-                uint32_t swa_period = 5;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.set_swa_pattern(swa_period);
-
-                hparams.n_layer_kv_from_start     = 20;
-                hparams.f_attention_scale         = 1.0f;
-
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                    case 30: type = LLM_TYPE_E2B; break;
-                    case 35: type = LLM_TYPE_E4B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GEMMA4:
-            {
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
-
-                uint32_t n_kv_shared_layers = 0;
-                ml.get_key(LLM_KV_ATTENTION_SHARED_KV_LAYERS, n_kv_shared_layers, false);
-
-                hparams.n_layer_kv_from_start = hparams.n_layer - (int32_t)n_kv_shared_layers;
-                hparams.f_attention_scale     = 1.0f; // Gemma4 uses self.scaling = 1.0 (no pre-attn scaling)
-
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EMBEDDING_LENGTH_PER_LAYER,  hparams.n_embd_per_layer);
-                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA,    hparams.n_embd_head_k_swa);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,  hparams.n_embd_head_v_swa);
-                ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,     hparams.f_final_logit_softcapping, false);
-
-                switch (hparams.n_layer) {
-                    case 35: type = LLM_TYPE_E2B; break;
-                    case 42: type = LLM_TYPE_E4B; break; // to confirm: E4B or E5B?
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GEMMA_EMBEDDING:
-            {
-                hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
-                uint32_t swa_period = 6;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.set_swa_pattern(swa_period);
+    ml.done_getting_tensors();
 
-                hparams.causal_attn = false; // embeddings do not use causal attention
+    // populate tensors_by_name
+    for (auto & [_, ctx_ptr] : ml.ctx_map) {
+        for (auto * cur = ggml_get_first_tensor(ctx_ptr.get()); cur != NULL; cur = ggml_get_next_tensor(ctx_ptr.get(), cur)) {
+            tensors_by_name.emplace_back(ggml_get_name(cur), cur);
+        }
+    }
 
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.init_mappings(true, use_mlock ? &pimpl->mlock_mmaps : nullptr);
+    pimpl->mappings.reserve(ml.mappings.size());
 
-                //applied only if model converted with --sentence-transformers-dense-modules
-                ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false);
-                ml.get_key(LLM_KV_DENSE_2_FEAT_OUT, hparams.dense_2_feat_out, false);
-                ml.get_key(LLM_KV_DENSE_3_FEAT_IN, hparams.dense_3_feat_in, false);
-                ml.get_key(LLM_KV_DENSE_3_FEAT_OUT, hparams.dense_3_feat_out, false);
+    // create the backend buffers
+    std::vector<std::pair<ggml_context *, llama_buf_map>> ctx_buf_maps;
+    ctx_buf_maps.reserve(ml.ctx_map.size());
 
-                GGML_ASSERT((hparams.dense_2_feat_in == 0 || hparams.dense_2_feat_in == hparams.n_embd) && "dense_2_feat_in must be equal to n_embd");
-                GGML_ASSERT((hparams.dense_3_feat_out == 0 || hparams.dense_3_feat_out == hparams.n_embd) && "dense_3_feat_out must be equal to n_embd");
+    // Ensure we have enough capacity for the maximum backend buffer we will potentially create
+    const size_t n_max_backend_buffer = ml.ctx_map.size() * ml.files.size();
+    pimpl->ctxs_bufs.reserve(n_max_backend_buffer);
 
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_0_3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-                hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
+    for (auto & [buft, ctx_ptr] : ml.ctx_map) {
+        ggml_context * ctx = ctx_ptr.get();
 
-            } break;
-        case LLM_ARCH_STARCODER2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 30: type = LLM_TYPE_3B; break;
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_15B; break;
-                    case 52: type = LLM_TYPE_20B; break; // granite
-                    case 88: type = LLM_TYPE_34B; break; // granite
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MAMBA:
-            {
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_DT_B_C_RMS,     hparams.ssm_dt_b_c_rms, false);
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                    case 24:
-                        switch (hparams.n_embd) {
-                            case 768: type = LLM_TYPE_SMALL; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 48:
-                        switch (hparams.n_embd) {
-                            case 1024: type = LLM_TYPE_MEDIUM; break;
-                            case 1536: type = LLM_TYPE_LARGE; break;
-                            case 2048: type = LLM_TYPE_XL; break;
-                            default:   type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 64:
-                        switch (hparams.n_embd) {
-                            case 2560: type = LLM_TYPE_3B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MAMBA2:
-            {
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                    case 24:
-                        switch (hparams.n_embd) {
-                            case 768: type = LLM_TYPE_SMALL; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 48:
-                        switch (hparams.n_embd) {
-                            case 1024: type = LLM_TYPE_MEDIUM; break;
-                            case 1536: type = LLM_TYPE_LARGE; break;
-                            case 2048: type = LLM_TYPE_XL; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 64:
-                        switch (hparams.n_embd) {
-                            case 2560: type = LLM_TYPE_3B; break;
-                            case 4096: type = LLM_TYPE_7B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_JAMBA:
-            {
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+        // skip contexts without tensors
+        if (ggml_get_first_tensor(ctx) == nullptr) {
+            continue;
+        }
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        llama_buf_map buf_map;
+        buf_map.reserve(n_max_backend_buffer);
 
-                for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                    hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
-                }
+        // check if it is possible to use buffer_from_host_ptr with this buffer type
+        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
+        if (!dev) {
+            // FIXME: workaround for CPU backend buft having a NULL device
+            dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
+            if (!dev) {
+                throw std::runtime_error(format("%s: no CPU backend found", __func__));
+            }
+        }
+        ggml_backend_dev_props props;
+        ggml_backend_dev_get_props(dev, &props);
+        bool buffer_from_host_ptr_supported = props.caps.buffer_from_host_ptr;
+        bool is_default_buft = buft == ggml_backend_dev_buffer_type(dev);
 
-                switch (hparams.n_layer) {
-                    // TODO: Jamba layers are a bit heterogeneous, so naming this is hard.
-                    case 12: // 900M  8x???M
-                    case 32: // 51B  16x?B
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_XVERSE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_13B; break;
-                    case 80: type = LLM_TYPE_65B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_COMMAND_R:
-            {
-                ml.get_key(LLM_KV_LOGIT_SCALE,             hparams.f_logit_scale, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 40: type = LLM_TYPE_35B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
+        std::vector<ggml_backend_buffer_ptr> bufs;
+        if (ml.use_mmap && use_mmap_buffer && buffer_from_host_ptr_supported && is_default_buft) {
+            GGML_ASSERT(!ml.no_alloc);
+            for (uint32_t idx = 0; idx < ml.files.size(); idx++) {
+                // only the mmap region containing the tensors in the model is mapped to the backend buffer
+                // this is important for metal with apple silicon: if the entire model could be mapped to a metal buffer,
+                //     then we could just use metal for all layers
+                // this allows using partial offloading when the model size exceeds the metal buffer size, but not the RAM size
+                void * addr = nullptr;
+                size_t first, last; // NOLINT
+                ml.get_mapping_range(&first, &last, &addr, idx, ctx);
+                if (first >= last) {
+                    continue;
                 }
-            } break;
-        case LLM_ARCH_COHERE2:
-            {
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                uint32_t swa_period = 4;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.set_swa_pattern(swa_period);
-                hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,       hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
-                ml.get_key(LLM_KV_LOGIT_SCALE,              hparams.f_logit_scale);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,  hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_8B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
+                const size_t max_size = ggml_get_max_tensor_size(ctx);
+                ggml_backend_buffer_t buf = ggml_backend_dev_buffer_from_host_ptr(dev, (char *) addr + first, last - first, max_size);
+                if (buf == nullptr) {
+                    throw std::runtime_error(format("unable to allocate %s buffer", ggml_backend_buft_name(buft)));
                 }
-            } break;
-        case LLM_ARCH_DBRX:
-        {
-            ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-            ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,     hparams.f_clamp_kqv);
-
-            switch (hparams.n_layer) {
-                case 40: type = LLM_TYPE_16x12B; break;
-                default: type = LLM_TYPE_UNKNOWN;
+                bufs.emplace_back(buf);
+                buf_map.emplace(idx, buf);
             }
-        } break;
-        case LLM_ARCH_OLMO:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,     hparams.f_clamp_kqv, false);
-
-                switch (hparams.n_layer) {
-                    case 22: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 80: type = LLM_TYPE_70B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
+        } else {
+            ggml_backend_buffer_t buf;
+            if (ml.no_alloc) {
+                buf = ggml_backend_buft_alloc_buffer(buft, /*size =*/ 0); // dummy buffer
+                for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) {
+                    t->buffer = buf; // set dummy buffer for weights so that the backend scheduler won't try to allocate them
                 }
-            } break;
-        case LLM_ARCH_OLMO2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-                if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    uint32_t swa_period = 4;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-
-                    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                    hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                } else {
-                    hparams.swa_type = LLAMA_SWA_TYPE_NONE;
-                }
-
-                switch (hparams.n_layer) {
-                    case 16: type = LLM_TYPE_1B; break;
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 40: type = LLM_TYPE_13B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_SEED_OSS:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 64: type = LLM_TYPE_36B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_OLMOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 16: type = LLM_TYPE_A1_7B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_OPENELM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                case 16: type = LLM_TYPE_270M; break;
-                case 20: type = LLM_TYPE_450M; break;
-                case 28: type = LLM_TYPE_1B; break;
-                case 36: type = LLM_TYPE_3B; break;
-                default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GPTNEOX:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_USE_PARALLEL_RESIDUAL,   hparams.use_par_res);
-                switch (hparams.n_layer) {
-                    case 6:
-                        switch (hparams.n_ff()) {
-                            case 512:  type = LLM_TYPE_14M; break;
-                            case 2048: type = LLM_TYPE_70M; break;
-                            default:   type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 12:
-                        switch (hparams.n_ff()) {
-                            case 3072: type = LLM_TYPE_160M; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 16:
-                        switch (hparams.n_ff()) {
-                            case 8192: type = LLM_TYPE_1B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 24:
-                        switch (hparams.n_ff()) {
-                            case 4096: type = LLM_TYPE_410M; break;
-                            case 8192: type = LLM_TYPE_1_4B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 32:
-                        switch (hparams.n_ff()) {
-                            case 10240: type = LLM_TYPE_2_8B; break;
-                            case 16384: type = LLM_TYPE_6_9B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 36:
-                        switch (hparams.n_ff()) {
-                            case 20480: type = LLM_TYPE_12B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 44:
-                        switch (hparams.n_ff()) {
-                            case 24576: type = LLM_TYPE_20B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_ARCTIC:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+            } else {
+                buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, buft); // real buffer
+            }
+            if (buf == nullptr) {
+                throw std::runtime_error(format("unable to allocate %s buffer", ggml_backend_buft_name(buft)));
+            }
+            if (use_mlock && ggml_backend_buffer_is_host(buf)) {
+                pimpl->mlock_bufs.emplace_back(new llama_mlock);
+                auto & mlock_buf = pimpl->mlock_bufs.back();
+                mlock_buf->init   (ggml_backend_buffer_get_base(buf));
+                mlock_buf->grow_to(ggml_backend_buffer_get_size(buf));
+            }
+            bufs.emplace_back(buf);
+            for (uint32_t idx = 0; idx < ml.files.size(); idx++) {
+                buf_map.emplace(idx, buf);
+            }
+        }
 
-                if (hparams.n_expert == 128) {
-                    switch (hparams.n_layer) {
-                        case 35: type = LLM_TYPE_10B_128x3_66B; break;
-                        default: type = LLM_TYPE_UNKNOWN;
-                    }
-                } else {
-                    type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DEEPSEEK:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-
-                switch (hparams.n_ff_exp) {
-                    case 1408: type = LLM_TYPE_16B; break;
-                    case 1792: type = LLM_TYPE_20B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DEEPSEEK2:
-        case LLM_ARCH_MISTRAL4:
-            {
-                // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B
-                const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256));
+        for (auto & buf : bufs) {
+            // indicate that this buffer contains weights
+            // this is used by ggml_backend_sched to improve op scheduling: ops that use a weight are preferably scheduled to the backend that contains the weight
+            ggml_backend_buffer_set_usage(buf.get(), GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
+        }
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                if (!is_lite) {
-                    ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q);
-                }
-                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,     hparams.n_lora_kv);
-                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   hparams.n_embd_head_k_mla_impl, false);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,        hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,       hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,        hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,         hparams.expert_gating_func, false);
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    // for compatibility with existing DeepSeek V2 and V2.5 GGUFs
-                    // that have no expert_gating_func model parameter set
-                    if ((hparams.n_layer == 47 || hparams.n_layer == 48) && n_vocab == 154880) {
-                        // GLM 4.7 Lite
-                        hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
-                    } else {
-                        hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX;
-                    }
-                }
+        pimpl->ctxs_bufs.emplace_back(std::move(ctx_ptr), std::move(bufs));
 
-                if (ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, 0.0f)) {
-                    // [TAG_DEEPSEEK2_YARN_LOG_MUL_FIX]
-                    // cancel the factor from the convert script
-                    hparams.rope_yarn_log_mul /= 0.1f;
-                }
+        ctx_buf_maps.emplace_back(ctx, buf_map);
+    }
 
-                // (optional) temperature tuning - used by mistral-large
-                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE,  hparams.f_attn_temp_scale,       false);
-                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false); // FIXME why not use temperature_length?
+    if (llama_supports_gpu_offload()) {
+        const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer));
 
-                hparams.f_attn_temp_offset = 0.0f;
+        int n_repeating = n_gpu;
+        if (n_repeating > 0) {
+            LLAMA_LOG_INFO("%s: offloading output layer to GPU\n", __func__);
+            n_repeating--;
+        }
+        LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_repeating);
 
-                switch (hparams.n_layer) {
-                    case 27: type = LLM_TYPE_16B; break;
-                    case 47: type = LLM_TYPE_30B_A3B; break;
-                    case 60: type = LLM_TYPE_236B; break;
-                    case 61: type = LLM_TYPE_671B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DEEPSEEK2OCR:
-            {
-                // similar to deepseek2, but without MLA
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
-
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX;
-                }
+        const int max_backend_supported_layers = hparams.n_layer + 1;
+        const int max_offloadable_layers       = hparams.n_layer + 1;
 
-                switch (hparams.n_layer) {
-                    case 12: type = LLM_TYPE_3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PLM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_1_8B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_CHATGLM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 28: {
-                        if (hparams.n_head(0) == 16) {
-                            type = LLM_TYPE_1_5B;
-                        } else {
-                            type = LLM_TYPE_6B;
-                        }
-                    } break;
-                    case 40: {
-                        if (hparams.n_head(0) == 24) {
-                            type = LLM_TYPE_4B;
-                        } else {
-                            type = LLM_TYPE_9B;
-                        }
-                    } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GLM4:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+        LLAMA_LOG_INFO("%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers);
+    }
 
-                // NextN/MTP parameters (GLM-OCR)
-                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false);
-                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+    // print memory requirements per buffer type
+    for (auto & [_, bufs] : pimpl->ctxs_bufs) {
+        for (auto & buf: bufs) {
+            LLAMA_LOG_INFO("%s: %12s model buffer size = %8.2f MiB\n",
+                __func__, ggml_backend_buffer_name(buf.get()), ggml_backend_buffer_get_size(buf.get()) / 1024.0 / 1024.0);
+        }
+    }
 
-                // TODO: when MTP is implemented, this should probably be updated if needed
-                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+    if (ml.no_alloc) {
+        return true;
+    }
 
-                switch (hparams.n_layer) {
-                    case 17: type = LLM_TYPE_1B; break; // GLM-OCR
-                    case 40: type = LLM_TYPE_9B; break;
-                    case 61: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GLM4_MOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,     hparams.n_ff_exp);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
-
-                // MoE parameters
-                ml.get_key(LLM_KV_EXPERT_COUNT,                hparams.n_expert);
-                ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-
-                // Expert gating function (GLM-4.5 uses sigmoid)
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    hparams.expert_gating_func =  LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
-                }
+    // load tensor data
+    for (auto & [ctx, buf_map] : ctx_buf_maps) {
+        if (!ml.load_all_data(ctx, buf_map, use_mlock ? &pimpl->mlock_mmaps : NULL, params.progress_callback, params.progress_callback_user_data)) {
+            return false;
+        }
+    }
 
-                // NextN/MTP parameters
-                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
-                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+    if (use_mmap_buffer) {
+        for (auto & mapping : ml.mappings) {
+            pimpl->mappings.emplace_back(std::move(mapping));
+        }
+    }
 
-                // TODO: when MTP is implemented, this should probably be updated if needed
-                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+    return true;
+}
 
-                switch (hparams.n_layer) {
-                    case 47: type = LLM_TYPE_106B_A12B; break; // GLM-4.5-Air (46 layers + 1 NextN layer)
-                    case 48: type = LLM_TYPE_102B_A12B; break; // Solar Open
-                    case 93: type = LLM_TYPE_355B_A32B; break; // GLM-4.5 (92 layers + 1 NextN layer)
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GLM_DSA:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,     hparams.n_ff_exp);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
-
-                // MoE parameters
-                ml.get_key(LLM_KV_EXPERT_COUNT,                hparams.n_expert);
-                ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-
-                // deepseek MLA parameters
-                ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK,      hparams.n_lora_q);
-                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,     hparams.n_lora_kv);
-                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   hparams.n_embd_head_k_mla_impl, false);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,        hparams.n_expert_shared);
-
-                // DSA parameters
-                ml.get_key(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, hparams.indexer_n_head);
-                ml.get_key(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, hparams.indexer_head_size);
-                ml.get_key(LLM_KV_ATTENTION_INDEXER_TOP_K,      hparams.indexer_top_k);
-
-                // Expert gating function (GLM-4.5 uses sigmoid)
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    hparams.expert_gating_func =  LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
-                }
+ggml_tensor * llama_model_base::create_tensor(llama_model_loader & ml, const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) {
+    const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list;
+    return ml.create_tensor(
+        hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer,
+        tn, ne, flags);
+}
 
-                // NextN/MTP parameters
-                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
-                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+std::string llama_model::arch_name() const {
+    return llm_arch_name(arch);
+}
 
-                // TODO: when MTP is implemented, this should probably be updated if needed
-                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+std::string llama_model::type_name() const {
+    return llm_type_name(type);
+}
 
-                switch (hparams.n_layer) {
-                    case 79: type = LLM_TYPE_744B_A40B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_BITNET:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+std::string llama_model::desc() const {
+    return pimpl->desc_str;
+}
 
-                switch (hparams.n_layer) {
-                    case 26: type = LLM_TYPE_3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_T5:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,      hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts);
+size_t llama_model::size() const {
+    return pimpl->n_bytes;
+}
 
-                uint32_t dec_start_token_id;
-                if (ml.get_key(LLM_KV_DECODER_START_TOKEN_ID, dec_start_token_id, false)) {
-                    hparams.dec_start_token_id = dec_start_token_id;
-                }
+size_t llama_model::n_tensors() const {
+    return tensors_by_name.size();
+}
 
-                hparams.dec_n_layer = hparams.n_layer;
-                ml.get_key(LLM_KV_DECODER_BLOCK_COUNT, hparams.dec_n_layer, false);
-
-                switch (hparams.n_layer) {
-                    case 6:  type = LLM_TYPE_60M;  break; // t5-small
-                    case 8:  type = LLM_TYPE_80M;  break; // flan-t5-small
-                    case 12:
-                        switch (hparams.n_ff()) {
-                            case 3072: type = LLM_TYPE_220M; break; // t5-base
-                            case 2048: type = LLM_TYPE_250M; break; // flan-t5-base
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 24:
-                        switch (hparams.n_ff()) {
-                            case 4096:  type = LLM_TYPE_770M; break; // t5-large
-                            case 2816:  type = LLM_TYPE_780M; break; // flan-t5-large
-                            case 16384: type = LLM_TYPE_3B;   break; // t5-3b
-                            case 5120:  type = LLM_TYPE_3B;   break; // flan-t5-xl
-                            case 65536: type = LLM_TYPE_11B;  break; // t5-11b
-                            case 10240: type = LLM_TYPE_11B;  break; // flan-t5-xxl
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-            } break;
-        case LLM_ARCH_T5ENCODER:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts);
-                type = LLM_TYPE_UNKNOWN;
-            } break;
-        case LLM_ARCH_JAIS:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
-
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1_3B; break;
-                    case 40: type = LLM_TYPE_13B; break;
-                    /* TODO: add variants */
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_JAIS2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+size_t llama_model::n_devices() const {
+    return devices.size();
+}
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_8B; break;
-                    case 68: type = LLM_TYPE_70B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_NEMOTRON:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_4B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_NEMOTRON_H:
-        case LLM_ARCH_NEMOTRON_H_MOE:
-            {
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                // A layer is recurrent IFF the n_head_kv value is set to 0 and
-                // the n_ff value is set to 0
-                for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                    hparams.recurrent_layer_arr[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0);
-                }
+const float * llama_model::tensor_split() const {
+    return params.tensor_split;
+}
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+uint32_t llama_model::n_gpu_layers() const {
+    return params.n_gpu_layers >= 0 ? params.n_gpu_layers : hparams.n_layer + 1;
+}
 
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp,        false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp,      false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_MOE_LATENT_SIZE,                   hparams.moe_latent_size, false);
+llama_split_mode llama_model::split_mode() const {
+    return params.split_mode;
+}
 
-                switch (hparams.n_layer) {
-                    case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B
-                    case 56: type = LLM_TYPE_9B; break;
-                    case 88: type = LLM_TYPE_120B_A12B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_EXAONE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+std::map<ggml_backend_buffer_type_t, size_t> llama_model::memory_breakdown() const {
+    std::map<ggml_backend_buffer_type_t, size_t> ret;
+    for (const auto & [ctx, bufs] : pimpl->ctxs_bufs) {
+        if (hparams.no_alloc) {
+            GGML_ASSERT(bufs.size() == 1);
+            ggml_backend_buffer_t buf = bufs[0].get();
+            GGML_ASSERT(ggml_backend_buffer_get_base(buf) == nullptr);
+            ggml_backend_buffer_type_t buft = ggml_backend_buffer_get_type(buf);
+            ret[buft] += ggml_backend_alloc_ctx_tensors_from_buft_size(ctx.get(), buft);
+        } else {
+            for (const auto & buf : bufs) {
+                // GGML_ASSERT(ggml_backend_buffer_get_base(buf.get()) != nullptr); // multi_buffer does not have a defined base
+                ret[ggml_backend_buffer_get_type(buf.get())] += ggml_backend_buffer_get_size(buf.get());
+            }
+        }
+    }
+    return ret;
+}
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_8B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_EXAONE4:
-            {
-                if (hparams.n_layer == 64) {    // 32B
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.n_swa = 4096;
-                    uint32_t swa_period = 4;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period);
-
-                    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                }
+uint64_t llama_model::n_elements() const {
+    return pimpl->n_elements;
+}
 
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+void llama_model::print_info() const {
+    const std::string rope_scaling_type = llama_rope_scaling_type_name(hparams.rope_scaling_type_train);
 
-                switch (hparams.n_layer) {
-                    case 30: type = LLM_TYPE_1_2B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_EXAONE_MOE:
-            {
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                hparams.n_swa = 128;
-                uint32_t swa_period = 4;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.set_swa_pattern(swa_period);
-                hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,                hparams.rope_freq_base_train_swa, false);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,          hparams.n_swa);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
-
-                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
-                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_30B_A3B; break;
-                    case 48:
-                    case 49: type = LLM_TYPE_235B_A22B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_RWKV6:
-        case LLM_ARCH_RWKV6QWEN2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,     hparams.f_norm_eps, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false);
-                ml.get_key(LLM_KV_WKV_HEAD_SIZE,               hparams.wkv_head_size);
-                ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM,          hparams.time_mix_extra_dim);
-                ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM,        hparams.time_decay_extra_dim);
-                ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS,      hparams.rescale_every_n_layers, false);
-                ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,           hparams.token_shift_count, false);
-
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_1_6B; break;
-                    case 32:
-                        switch (hparams.n_embd) {
-                            case 2560: type = LLM_TYPE_3B; break;
-                            case 4096: type = LLM_TYPE_7B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 61: type = LLM_TYPE_14B; break;
-                    case 64: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_RWKV7:
-        case LLM_ARCH_ARWKV7:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,                hparams.f_norm_eps, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,            hparams.f_norm_rms_eps, false);
-                ml.get_key(LLM_KV_WKV_HEAD_SIZE,                          hparams.wkv_head_size);
-                ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK,              hparams.n_lora_decay);
-                ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK,               hparams.n_lora_iclr);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix);
-                ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK,               hparams.n_lora_gate, false);
-                ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,                      hparams.token_shift_count, false);
-
-                switch (hparams.n_layer) {
-                    case 12:
-                        switch (hparams.n_embd) {
-                            case 768: type = LLM_TYPE_190M; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 24:
-                        switch (hparams.n_embd) {
-                            case 1024: type = LLM_TYPE_450M; break;
-                            case 2048: type = LLM_TYPE_1_5B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 28:
-                        switch (hparams.n_embd) {
-                            case 1536: type = LLM_TYPE_1_5B; break;
-                            case 3584: type = LLM_TYPE_7B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 32:
-                        switch (hparams.n_embd) {
-                            case 2560: type = LLM_TYPE_2_9B; break;
-                            case 4096: type = LLM_TYPE_7B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    case 61:
-                        switch (hparams.n_embd) {
-                            case 4096: type = LLM_TYPE_14B; break;
-                            default: type = LLM_TYPE_UNKNOWN;
-                        } break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GRANITE:
-        case LLM_ARCH_GRANITE_MOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale);
-                ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, false);
-                ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, false);
-                ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, false);
-
-                // Granite uses rope_finetuned as a switch for rope, so default to true
-                bool rope_finetuned = true;
-                ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
-                hparams.rope_finetuned = rope_finetuned;
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_3B; break;
-                    case 40: type = LLM_TYPE_3B; break;
-                    // Add additional layer/vocab/etc checks here for other model sizes
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
+    auto print_f = [](const std::function<uint32_t(uint32_t)> & f, uint32_t n) {
+        bool is_var = false;
 
-                // For Granite MoE Shared
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false);
-            } break;
-        case LLM_ARCH_GRANITE_HYBRID:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale, /* required */ false);
-                ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, /* required */ false);
-                ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, /* required */ false);
-                ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, /* required */ false);
-
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                // Granite uses rope_finetuned as a switch for rope, so default to true
-                bool rope_finetuned = true;
-                ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
-                hparams.rope_finetuned = rope_finetuned;
-
-                // A layer is recurrent IFF the n_head_kv value is set to 0
-                for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                    hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
-                }
+        std::vector<uint32_t> v;
+        for (uint32_t i = 0; i < n; ++i) {
+            v.push_back(f(i));
+            if (v[i] != v[0]) {
+                is_var = true;
+            }
+        }
 
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        std::stringstream ss;
 
-                switch (hparams.n_embd) {
-                    case 768: type = LLM_TYPE_350M; break;
-                    case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break;
-                    case 2048: case 2560: type = LLM_TYPE_3B; break;
-                    case 4096: type = LLM_TYPE_32B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-
-                // For Granite MoE Shared
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false);
-            } break;
-        case LLM_ARCH_CHAMELEON:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                hparams.f_norm_eps = 1e-5;  // eps for qk-norm, torch default
-                ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false);
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_7B; break;
-                    case 48: type = LLM_TYPE_34B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-               }
-            } break;
-        case LLM_ARCH_WAVTOKENIZER_DEC:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
-                ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS,    hparams.f_norm_group_eps);
-                ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups);
-            } break;
-        case LLM_ARCH_BAILINGMOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-
-                switch (hparams.n_layer) {
-                    case 28: type = LLM_TYPE_16B; break;
-                    case 88: type = LLM_TYPE_290B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_BAILINGMOE2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
-                ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
-                GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
-
-                // TODO: when MTP is implemented, this should probably be updated if needed
-                hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
-
-                switch (hparams.n_layer) {
-                    case 20: type = LLM_TYPE_16B_A1B; break;
-                    case 21: type = LLM_TYPE_16B_A1B; break;
-                    case 32: type = LLM_TYPE_100B_A6B; break;
-                    case 33: type = LLM_TYPE_100B_A6B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_DOTS1:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
-                switch (hparams.n_layer) {
-                    case 62: type = LLM_TYPE_142B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_ERNIE4_5:
-        case LLM_ARCH_ERNIE4_5_MOE:
-        case LLM_ARCH_PADDLEOCR:
-            {
-                // paddleocr need mrope_section
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
-
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                if (arch == LLM_ARCH_ERNIE4_5_MOE) {
-                    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                    ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,         hparams.n_moe_layer_step);
-                    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
-                }
-
-                switch (hparams.n_layer) {
-                    case 18: type = LLM_TYPE_0_3B; break;
-                    case 28: type = LLM_TYPE_21B_A3B; break;
-                    case 54: type = LLM_TYPE_300B_A47B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_FALCON_H1:
-            {
-                // Common parameters
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                // SSM parameters
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                std::fill(hparams.recurrent_layer_arr.begin(), hparams.recurrent_layer_arr.end(), true);
-
-                switch (hparams.n_layer) {
-                    case 36:
-                        type = LLM_TYPE_0_5B; break;
-                    case 24:
-                        type = LLM_TYPE_1_5B; break;
-                    case 66:
-                        type = LLM_TYPE_1B; break;
-                    case 32:
-                        type = LLM_TYPE_3B; break;
-                    case 44:
-                        type = LLM_TYPE_7B; break;
-                    case 72:
-                        type = LLM_TYPE_34B; break;
-                    default:
-                        type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_HUNYUAN_MOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_A13B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_HUNYUAN_DENSE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-
-                switch (hparams.n_embd) {
-                    case 1024: type = LLM_TYPE_0_5B; break;
-                    case 2048: type = LLM_TYPE_1_8B; break;
-                    case 3072: type = LLM_TYPE_4B; break;
-                    case 4096: type = LLM_TYPE_7B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_SMOLLM3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                hparams.n_no_rope_layer_step = 4;
-
-                switch (hparams.n_layer) {
-                    case 36: type = LLM_TYPE_3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_OPENAI_MOE:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
-
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                uint32_t swa_period = 2;
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                hparams.set_swa_pattern(swa_period);
-
-                hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_20B; break;
-                    case 36: type = LLM_TYPE_120B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_LFM2:
-            {
-                ml.get_key(LLM_KV_SHORTCONV_L_CACHE,           hparams.n_shortconv_l_cache);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                for (uint32_t il = 0; il < hparams.n_layer; ++il) {
-                    hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0;
-                }
-                hparams.n_layer_dense_lead = hparams.n_layer;
-                switch (hparams.n_ff()) {
-                    case  4608: type = LLM_TYPE_350M; break;
-                    case  6912: type = LLM_TYPE_700M; break;
-                    case  8192: type = LLM_TYPE_1_2B; break;
-                    case 10752: type = LLM_TYPE_2_6B; break;
-                    default:    type = LLM_TYPE_UNKNOWN;
-                }
-                if (const auto is_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); is_swa && hparams.n_swa > 0) {
-                    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
-                    for (uint32_t il = 0; il < hparams.n_layer; ++il) {
-                        hparams.swa_layers[il] = !hparams.recurrent_layer_arr[il];
-                    }
-                }
-            } break;
-        case LLM_ARCH_LFM2MOE:
-            {
-                ml.get_key(LLM_KV_SHORTCONV_L_CACHE,           hparams.n_shortconv_l_cache);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func);
-
-                for (uint32_t il = 0; il < hparams.n_layer; ++il) {
-                    hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0;
+        if (is_var) {
+            ss << "[";
+            for (uint32_t i = 0; i < n; ++i) {
+                ss << v[i];
+                if (i < n - 1) {
+                    ss << ", ";
                 }
+            }
+            ss << "]";
+        } else {
+            ss << v[0];
+        }
 
-                switch (hparams.n_layer) {
-                    case 24: type = LLM_TYPE_8B_A1B;  break;
-                    case 40: type = LLM_TYPE_24B_A2B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_SMALLTHINKER:
-            {
-                const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
-
-                if (found_swa && hparams.n_swa > 0) {
-                    hparams.swa_type    = LLAMA_SWA_TYPE_STANDARD;
-                    hparams.n_swa       = 4096;
-                    uint32_t swa_period = 4;
-                    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
-                    hparams.set_swa_pattern(swa_period, true);
-
-                    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
-                    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
-                    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
-                } else {
-                    hparams.swa_type             = LLAMA_SWA_TYPE_NONE;
-                    hparams.n_no_rope_layer_step = hparams.n_layer;
-                }
+        return ss.str();
+    };
 
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+    // hparams
+    LLAMA_LOG_INFO("%s: arch                  = %s\n",     __func__, arch_name().c_str());
+    LLAMA_LOG_INFO("%s: vocab_only            = %d\n",     __func__, hparams.vocab_only);
+    LLAMA_LOG_INFO("%s: no_alloc              = %d\n",     __func__, hparams.no_alloc);
 
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_4B;  break;
-                    case 52: type = LLM_TYPE_20B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_GROVEMOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH,  hparams.n_ff_chexp, false);
-                ml.get_key(LLM_KV_EXPERT_GROUP_SCALE,                hparams.expert_group_scale);
-                ml.get_key(LLM_KV_EXPERTS_PER_GROUP,                 hparams.n_group_experts);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_30B_A3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_APERTUS:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_N,        hparams.xielu_alpha_n, hparams.n_layer);
-                ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_P,        hparams.xielu_alpha_p, hparams.n_layer);
-                ml.get_key_or_arr(LLM_KV_XIELU_BETA,           hparams.xielu_beta,    hparams.n_layer);
-                ml.get_key_or_arr(LLM_KV_XIELU_EPS,            hparams.xielu_eps,     hparams.n_layer);
-
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_8B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MINIMAX_M2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,  hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,   hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,           hparams.expert_gating_func, false);
+    if (!hparams.vocab_only) {
+        LLAMA_LOG_INFO("%s: n_ctx_train           = %u\n",     __func__, hparams.n_ctx_train);
+        LLAMA_LOG_INFO("%s: n_embd                = %u\n",     __func__, hparams.n_embd);
+        LLAMA_LOG_INFO("%s: n_embd_inp            = %u\n",     __func__, hparams.n_embd_inp());
+        LLAMA_LOG_INFO("%s: n_layer               = %u\n",     __func__, hparams.n_layer);
+        LLAMA_LOG_INFO("%s: n_head                = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head(il);    }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: n_head_kv             = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head_kv(il); }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: n_rot                 = %u\n",     __func__, hparams.n_rot_full);
+        LLAMA_LOG_INFO("%s: n_swa                 = %u\n",     __func__, hparams.n_swa);
+        LLAMA_LOG_INFO("%s: is_swa_any            = %u\n",     __func__, hparams.is_swa_any());
+        LLAMA_LOG_INFO("%s: n_embd_head_k         = %u\n",     __func__, hparams.n_embd_head_k_full);
+        LLAMA_LOG_INFO("%s: n_embd_head_v         = %u\n",     __func__, hparams.n_embd_head_v_full);
+        LLAMA_LOG_INFO("%s: n_gqa                 = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_gqa(il);        }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: n_embd_k_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_k_gqa(il); }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: n_embd_v_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_v_gqa(il); }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: f_norm_eps            = %.1e\n",   __func__, hparams.f_norm_eps);
+        LLAMA_LOG_INFO("%s: f_norm_rms_eps        = %.1e\n",   __func__, hparams.f_norm_rms_eps);
+        LLAMA_LOG_INFO("%s: f_clamp_kqv           = %.1e\n",   __func__, hparams.f_clamp_kqv);
+        LLAMA_LOG_INFO("%s: f_max_alibi_bias      = %.1e\n",   __func__, hparams.f_max_alibi_bias);
+        LLAMA_LOG_INFO("%s: f_logit_scale         = %.1e\n",   __func__, hparams.f_logit_scale);
+        LLAMA_LOG_INFO("%s: f_attn_scale          = %.1e\n",   __func__, hparams.f_attention_scale);
+        LLAMA_LOG_INFO("%s: f_attn_value_scale    = %.4f\n",   __func__, hparams.f_attn_value_scale);
+        LLAMA_LOG_INFO("%s: n_ff                  = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_ff(il); }, hparams.n_layer).c_str());
+        LLAMA_LOG_INFO("%s: n_expert              = %u\n",     __func__, hparams.n_expert);
+        LLAMA_LOG_INFO("%s: n_expert_used         = %u\n",     __func__, hparams.n_expert_used);
+        LLAMA_LOG_INFO("%s: n_expert_groups       = %d\n",     __func__, hparams.n_expert_groups);
+        LLAMA_LOG_INFO("%s: n_group_used          = %d\n",     __func__, hparams.n_group_used);
+        LLAMA_LOG_INFO("%s: causal attn           = %d\n",     __func__, hparams.causal_attn);
+        LLAMA_LOG_INFO("%s: pooling type          = %d\n",     __func__, hparams.pooling_type);
+        LLAMA_LOG_INFO("%s: rope type             = %d\n",     __func__, hparams.rope_type);
+        LLAMA_LOG_INFO("%s: rope scaling          = %s\n",     __func__, rope_scaling_type.c_str());
+        LLAMA_LOG_INFO("%s: freq_base_train       = %.1f\n",   __func__, hparams.rope_freq_base_train);
+        LLAMA_LOG_INFO("%s: freq_scale_train      = %g\n",     __func__, hparams.rope_freq_scale_train);
+        if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+            LLAMA_LOG_INFO("%s: freq_base_swa         = %.1f\n",   __func__, hparams.rope_freq_base_train_swa);
+            LLAMA_LOG_INFO("%s: freq_scale_swa        = %g\n",     __func__, hparams.rope_freq_scale_train_swa);
+            LLAMA_LOG_INFO("%s: n_embd_head_k_swa     = %u\n",     __func__, hparams.n_embd_head_k_swa);
+            LLAMA_LOG_INFO("%s: n_embd_head_v_swa     = %u\n",     __func__, hparams.n_embd_head_v_swa);
+            LLAMA_LOG_INFO("%s: n_rot_swa             = %u\n",     __func__, hparams.n_rot_swa);
+        }
+        LLAMA_LOG_INFO("%s: n_ctx_orig_yarn       = %u\n",     __func__, hparams.n_ctx_orig_yarn);
+        LLAMA_LOG_INFO("%s: rope_yarn_log_mul     = %.4f\n",   __func__, hparams.rope_yarn_log_mul);
+        LLAMA_LOG_INFO("%s: rope_finetuned        = %s\n",     __func__, hparams.rope_finetuned ? "yes" : "unknown");
+        // MRoPE (Multi-axis Rotary Position Embedding) sections
+        if (const auto & s = hparams.rope_sections; s[0] || s[1] || s[2] || s[3]) {
+            LLAMA_LOG_INFO("%s: mrope sections        = [%d, %d, %d, %d]\n", __func__, s[0], s[1], s[2], s[3]);
+        }
+        if (!classifier_labels.empty()) {
+            LLAMA_LOG_INFO("%s: n_cls_out             = %u\n", __func__, hparams.n_cls_out);
 
-                switch (hparams.n_layer) {
-                    case 62: type = LLM_TYPE_230B_A10B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_COGVLM:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 32: type = LLM_TYPE_13B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_PANGU_EMBED:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                switch (hparams.n_layer) {
-                    case 26: type = LLM_TYPE_1B; break; // openPangu-Embedded-1B-V1.1
-                    case 34: type = LLM_TYPE_7B; break; // openPangu-Embedded-7B-V1.1
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN3NEXT:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-
-                // Load linear attention (gated delta net) parameters
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                // Mark recurrent layers (linear attention layers)
-                {
-                    uint32_t full_attn_interval = 4;
-                    ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
-                    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                        hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
-                    }
-                }
+            size_t i = 0;
+            for (const auto & label : classifier_labels) {
+                LLAMA_LOG_INFO("%s: cls_label[%2zu]         = %s\n", __func__, i++, label.c_str());
+            }
+        }
 
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_80B_A3B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN35:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS,    hparams.rope_sections, 4, true);
-
-                // Load linear attention (gated delta net) parameters
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                // Mark recurrent layers (linear attention layers)
-                {
-                    uint32_t full_attn_interval = 4;
-                    ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
-                    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                        hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
-                    }
-                }
+        if (arch == LLM_ARCH_MAMBA ||
+                arch == LLM_ARCH_MAMBA2 ||
+                arch == LLM_ARCH_JAMBA ||
+                arch == LLM_ARCH_FALCON_H1 ||
+                arch == LLM_ARCH_PLAMO2 ||
+                arch == LLM_ARCH_GRANITE_HYBRID ||
+                arch == LLM_ARCH_QWEN3NEXT ||
+                arch == LLM_ARCH_QWEN35 ||
+                arch == LLM_ARCH_QWEN35MOE ||
+                arch == LLM_ARCH_NEMOTRON_H ||
+                arch == LLM_ARCH_NEMOTRON_H_MOE) {
+            LLAMA_LOG_INFO("%s: ssm_d_conv            = %u\n",     __func__, hparams.ssm_d_conv);
+            LLAMA_LOG_INFO("%s: ssm_d_inner           = %u\n",     __func__, hparams.ssm_d_inner);
+            LLAMA_LOG_INFO("%s: ssm_d_state           = %u\n",     __func__, hparams.ssm_d_state);
+            LLAMA_LOG_INFO("%s: ssm_dt_rank           = %u\n",     __func__, hparams.ssm_dt_rank);
+            LLAMA_LOG_INFO("%s: ssm_n_group           = %u\n",     __func__, hparams.ssm_n_group);
+            LLAMA_LOG_INFO("%s: ssm_dt_b_c_rms        = %d\n",     __func__, hparams.ssm_dt_b_c_rms);
+        }
 
-                switch (hparams.n_layer) {
-                    case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_8B : LLM_TYPE_2B; break;
-                    case 32: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_9B; break;
-                    case 64: type = LLM_TYPE_27B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_QWEN35MOE:
-            {
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
-
-                ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS,    hparams.rope_sections, 4, true);
-
-                // Load linear attention (gated delta net) parameters
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
-                ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
-                ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
-                ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
-
-                // Mark recurrent layers (linear attention layers)
-                {
-                    uint32_t full_attn_interval = 4;
-                    ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
-                    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                        hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
-                    }
-                }
+        LLAMA_LOG_INFO("%s: model type            = %s\n",     __func__, type_name().c_str());
+        if (pimpl->n_elements >= 1e12) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f T\n", __func__, pimpl->n_elements*1e-12);
+        } else if (pimpl->n_elements >= 1e9) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f B\n", __func__, pimpl->n_elements*1e-9);
+        } else if (pimpl->n_elements >= 1e6) {
+            LLAMA_LOG_INFO("%s: model params          = %.2f M\n", __func__, pimpl->n_elements*1e-6);
+        } else {
+            LLAMA_LOG_INFO("%s: model params          = %.2f K\n", __func__, pimpl->n_elements*1e-3);
+        }
 
-                switch (hparams.n_layer) {
-                    case 40: type = LLM_TYPE_35B_A3B; break;
-                    case 48: type = LLM_TYPE_122B_A10B; break;
-                    case 60: type = LLM_TYPE_397B_A17B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MISTRAL3:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false);
+        // general kv
+        LLAMA_LOG_INFO("%s: general.name          = %s\n",    __func__, name.c_str());
 
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast,    false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow,    false);
-                ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL,   hparams.rope_yarn_log_mul, 0.0f);
+        if (arch == LLM_ARCH_DEEPSEEK) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+        }
 
-                hparams.f_attn_temp_offset = 0.0f;
+        if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_DEEPSEEK2OCR || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_MISTRAL4) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_lora_q              = %d\n",     __func__, hparams.n_lora_q);
+            LLAMA_LOG_INFO("%s: n_lora_kv             = %d\n",     __func__, hparams.n_lora_kv);
+            LLAMA_LOG_INFO("%s: n_embd_head_k_mla     = %d\n",     __func__, hparams.n_embd_head_k_mla());
+            LLAMA_LOG_INFO("%s: n_embd_head_v_mla     = %d\n",     __func__, hparams.n_embd_head_v_mla());
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+        }
 
-                // TODO: maybe add n_attn_temp_floor_scale as a separate KV?
-                if (hparams.f_attn_temp_scale != 0.0f) {
-                    hparams.n_attn_temp_floor_scale = hparams.n_ctx_orig_yarn;
-                    if (hparams.n_attn_temp_floor_scale == 0) {
-                        throw std::runtime_error("invalid n_ctx_orig_yarn for attention temperature scaling");
-                    }
-                }
+        if (arch == LLM_ARCH_QWEN2MOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
+        }
 
-                switch (hparams.n_layer) {
-                    case 26: type = LLM_TYPE_3B; break;
-                    case 34: type = LLM_TYPE_8B; break;
-                    case 40: type = LLM_TYPE_14B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_MIMO2:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        if (arch == LLM_ARCH_QWEN3MOE || arch == LLM_ARCH_OPENAI_MOE || arch == LLM_ARCH_QWEN3VLMOE || arch == LLM_ARCH_RND1) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+        }
 
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        if (arch == LLM_ARCH_MINICPM ||
+                arch == LLM_ARCH_GRANITE ||
+                arch == LLM_ARCH_GRANITE_MOE ||
+                arch == LLM_ARCH_GRANITE_HYBRID ||
+                arch == LLM_ARCH_NEMOTRON_H_MOE) {
+            LLAMA_LOG_INFO("%s: f_embedding_scale     = %f\n", __func__, hparams.f_embedding_scale);
+            LLAMA_LOG_INFO("%s: f_residual_scale      = %f\n", __func__, hparams.f_residual_scale);
+            LLAMA_LOG_INFO("%s: f_attention_scale     = %f\n", __func__, hparams.f_attention_scale);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n", __func__, hparams.n_ff_shexp);
+        }
 
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,   hparams.n_swa);
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,         hparams.rope_freq_base_train_swa, false);
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
+        if (arch == LLM_ARCH_BAILINGMOE) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+        }
 
-                switch (hparams.n_layer) {
-                    case 48: type = LLM_TYPE_310B_A15B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_KIMI_LINEAR:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
-                ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,    hparams.n_embd_head_k_mla_impl);
-                ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA,  hparams.n_embd_head_v_mla_impl);
-                ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,      hparams.n_lora_kv);
-                ml.get_key(LLM_KV_SSM_CONV_KERNEL,             hparams.ssm_d_conv);
-                ml.get_key(LLM_KV_KDA_HEAD_DIM,                hparams.n_embd_head_kda);
-
-                // MLA qk_rope_head_dim (for reference)
-                // qk_rope_head_dim = 64, qk_nope_head_dim = 128, qk_head_dim = 192
-
-                // Mark KDA layers as recurrent using n_head_kv pattern (like Jamba)
-                // Set n_head_kv = 0 for KDA layers (recurrent), n_head_kv = n_head for MLA layers (attention)
-                for (uint32_t i = 0; i < hparams.n_layer; ++i) {
-                    hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;  // KDA layers are recurrent
-                }
+        if (arch == LLM_ARCH_BAILINGMOE2) {
+            LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
+            LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
+            LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
+            LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+            LLAMA_LOG_INFO("%s: nextn_predict_layers  = %d\n",     __func__, hparams.nextn_predict_layers);
+        }
 
-                // MoE parameters - Kimi uses moe_intermediate_size = 1024
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
-                ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
+        if (arch == LLM_ARCH_SMALLTHINKER || arch == LLM_ARCH_LFM2MOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
+        }
 
-                switch (hparams.n_layer) {
-                    case 27: type = LLM_TYPE_48B_A3B; break; // Kimi-Linear-48B-A3B
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        case LLM_ARCH_STEP35:
-            {
-                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+        if (arch == LLM_ARCH_GROVEMOE) {
+            LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
+            LLAMA_LOG_INFO("%s: n_ff_chexp            = %d\n",     __func__, hparams.n_ff_chexp);
+            LLAMA_LOG_INFO("%s: n_group_experts       = %d\n",     __func__, hparams.n_group_experts);
+            LLAMA_LOG_INFO("%s: expert_group_scale    = %.2f\n",   __func__, hparams.expert_group_scale);
+        }
+    }
 
-                hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    vocab.print_info();
+}
 
-                // full_attention layer only use half of the RoPE dimensions
-                hparams.n_rot_full = hparams.n_rot_full / 2;
+ggml_backend_dev_t llama_model::dev_layer(int il) const {
+    return pimpl->dev_layer.at(il).dev;
+}
 
-                // MoE + SWA parameters
-                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
-                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
-                ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
-                ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
+ggml_backend_dev_t llama_model::dev_output() const {
+    return pimpl->dev_output.dev;
+}
 
-                // Step35 uses sigmoid gating by default (if not set in GGUF)
-                if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
-                    hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
-                }
+template<typename F>
+static bool buft_supported(ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev, F & fn) {
+    ggml_init_params params = {
+        /*.mem_size   =*/ ggml_tensor_overhead()*8,
+        /*.mem_buffer =*/ NULL,
+        /*.no_alloc   =*/ true,
+    };
 
-                ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,  hparams.n_swa);
-                ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,        hparams.rope_freq_base_train_swa, false);
-                ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
-                ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP,   hparams.swiglu_clamp_exp,   hparams.n_layer, false);
-                ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false);
+    ggml_context_ptr ctx { ggml_init(params) };
+    if (!ctx) {
+        throw std::runtime_error(format("failed to create ggml context"));
+    }
 
-                switch (hparams.n_layer) {
-                    case 45: type = LLM_TYPE_196B_A11B; break;
-                    default: type = LLM_TYPE_UNKNOWN;
-                }
-            } break;
-        default: throw std::runtime_error("unsupported model architecture: " + arch_name());
+    ggml_backend_buffer_ptr buf { ggml_backend_buft_alloc_buffer(buft, 0) };
+    ggml_tensor * op_tensor = fn(ctx.get());
+    for (int i = 0; i < GGML_MAX_SRC; i++) {
+        if (op_tensor->src[i] != nullptr) {
+            assert(op_tensor->src[i]->buffer == nullptr);
+            op_tensor->src[i]->buffer = buf.get();
+        }
     }
 
-    pimpl->n_bytes = ml.n_bytes;
+    bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor);
 
-    pimpl->desc_str = arch_name() + " " + type_name() + " " + ml.ftype_name();
+    return op_supported;
+}
 
-    if (hparams.f_max_alibi_bias > 0.0f) {
-        hparams.use_alibi = true;
+template<typename F>
+static ggml_backend_buffer_type_t select_buft(const buft_list_t & buft_list, const F & fn) {
+    for (const auto & cur : buft_list) {
+        ggml_backend_dev_t cur_dev = cur.first;
+        ggml_backend_buffer_type_t cur_buft = cur.second;
+        if (buft_supported(cur_buft, cur_dev, fn)) {
+            return cur_buft;
+        }
     }
 
-    hparams.rope_type = llama_model_rope_type(this);
+    throw std::runtime_error(format("no suitable buffer type found"));
 }
 
-void llama_model::load_vocab(llama_model_loader & ml) {
-    const auto kv = LLM_KV(arch);
-
-    vocab.load(ml, kv);
+ggml_backend_buffer_type_t llama_model::select_buft(int il) const {
+    return ::select_buft(
+            *pimpl->dev_layer.at(il).buft_list,
+            [&](ggml_context * ctx) {
+                ggml_tensor * cur = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.n_embd);
+                ggml_tensor * layer_dir = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.n_embd);
+                return ggml_add(ctx, cur, layer_dir);
+            });
 }
 
-bool llama_model::load_tensors(llama_model_loader & ml) {
-    const auto & split_mode   = params.split_mode;
-    const auto & use_mlock    = params.use_mlock;
-    const auto & tensor_split = params.tensor_split;
-
-    const int n_layer      = hparams.n_layer;
-    const int n_gpu_layers = this->n_gpu_layers();
-
-    const bool use_mmap_buffer = true;
-
-    LLAMA_LOG_INFO("%s: loading model tensors, this can take a while... (mmap = %s, direct_io = %s)\n",
-        __func__, ml.use_mmap ? "true" : "false", ml.use_direct_io ? "true" : "false");
-
-    // build a list of buffer types for the CPU and GPU devices
-    pimpl->cpu_buft_list = make_cpu_buft_list(devices, params.use_extra_bufts, params.no_host);
-    for (auto * dev : devices) {
-        buft_list_t buft_list = make_gpu_buft_list(dev, split_mode, tensor_split);
-        // add CPU buffer types as a fallback
-        buft_list.insert(buft_list.end(), pimpl->cpu_buft_list.begin(), pimpl->cpu_buft_list.end());
-        pimpl->gpu_buft_list.emplace(dev, std::move(buft_list));
-    }
+bool llama_model::has_tensor_overrides() const {
+    return pimpl->has_tensor_overrides;
+}
 
-    ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
-    if (cpu_dev == nullptr) {
-        throw std::runtime_error(format("%s: no CPU backend found", __func__));
+const ggml_tensor * llama_model::get_tensor(const char * name) const {
+    auto it = std::find_if(tensors_by_name.begin(), tensors_by_name.end(),
+            [name](const std::pair<std::string, ggml_tensor *> & it) {
+                return it.first == name;
+            });
+    if (it == tensors_by_name.end()) {
+        return nullptr;
     }
 
-    // calculate the split points
-    bool all_zero = tensor_split == nullptr || std::all_of(tensor_split, tensor_split + n_devices(), [](float x) { return x == 0.0f; });
-    std::vector<float> splits(n_devices());
-    if (all_zero) {
-        // default split, by free memory
-        for (size_t i = 0; i < n_devices(); ++i) {
-            ggml_backend_dev_t dev = devices[i];
-            size_t total;
-            size_t free;
-            ggml_backend_dev_memory(dev, &free, &total);
-
-            // devices can return 0 bytes for free and total memory if they do not
-            // have any to report. in this case, we will use the host memory as a fallback
-            // fixes: https://github.com/ggml-org/llama.cpp/issues/18577
-            if (free == 0 && total == 0) {
-                ggml_backend_dev_memory(cpu_dev, &free, &total);
-            }
-            splits[i] = free;
-        }
-    } else {
-        std::copy(tensor_split, tensor_split + n_devices(), splits.begin());
-    }
+    return it->second;
+}
 
-    // sum and normalize the splits to get the split points
-    float split_sum = 0.0f;
-    for (size_t i = 0; i < n_devices(); ++i) {
-        split_sum += splits[i];
-        splits[i] = split_sum;
-    }
-    for (size_t i = 0; i < n_devices(); ++i) {
-        splits[i] /= split_sum;
-    }
+float llama_model::get_rope_freq_base (const llama_cparams & cparams, int il) const {
+    return hparams.is_swa(il) ? hparams.rope_freq_base_train_swa : cparams.rope_freq_base;
+}
 
-    const int i_gpu_start = std::max(int(hparams.n_layer) + 1 - n_gpu_layers, 0);
-    const int act_gpu_layers = devices.empty() ? 0 : std::min(n_gpu_layers, int(n_layer) + 1);
-    auto get_layer_buft_list = [&](int il) -> llama_model::impl::layer_dev {
-        const bool is_swa = il < int(hparams.n_layer) && hparams.is_swa(il);
-        if (il < i_gpu_start || (il - i_gpu_start) >= act_gpu_layers) {
-            LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(cpu_dev), is_swa);
-            return {cpu_dev, &pimpl->cpu_buft_list};
-        }
-        const int layer_gpu = std::upper_bound(splits.begin(), splits.begin() + n_devices(), float(il - i_gpu_start)/act_gpu_layers) - splits.begin();
-        auto * dev = devices.at(layer_gpu);
-        LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(dev), is_swa);
-        return {dev, &pimpl->gpu_buft_list.at(dev)};
-    };
+float llama_model::get_rope_freq_scale(const llama_cparams & cparams, int il) const {
+    return hparams.is_swa(il) ? hparams.rope_freq_scale_train_swa : cparams.rope_freq_scale;
+}
 
-    // assign the input layer
-    // there is very little benefit to offloading the input layer, so always keep it on the CPU
-    pimpl->dev_input = { cpu_dev, &pimpl->cpu_buft_list };
+ggml_tensor * llama_model::get_rope_factors(const llama_cparams & cparams, int il) const {
+    const uint32_t n_ctx_seq = cparams.n_ctx_seq;
 
-    // assign the repeating layers to the devices according to the splits
-    pimpl->dev_layer.resize(n_layer);
-    for (int il = 0; il < n_layer; ++il) {
-        pimpl->dev_layer[il] = get_layer_buft_list(il);
+    // choose long/short freq factors based on the context size
+    if (layers[il].rope_freqs != nullptr) {
+        return layers[il].rope_freqs;
     }
 
-    // assign the output layer
-    pimpl->dev_output = get_layer_buft_list(n_layer);
-
-    const auto TENSOR_DUPLICATED      = llama_model_loader::TENSOR_DUPLICATED;
-    const auto TENSOR_NOT_REQUIRED    = llama_model_loader::TENSOR_NOT_REQUIRED;
-    const auto TENSOR_SKIP            = llama_model_loader::TENSOR_SKIP;
-    const auto TENSOR_SKIP_IF_VIRTUAL = llama_model_loader::TENSOR_SKIP_IF_VIRTUAL;
-
-    // create tensors for the weights
-    {
-        // note: cast to int64_t since we will use these for the tensor dimensions
-        const int64_t n_head        = hparams.n_head();
-        const int64_t n_head_kv     = hparams.n_head_kv();
-        const int64_t n_embd        = hparams.n_embd;
-        const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa();
-        const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa();
-        const int64_t n_embd_head_k = hparams.n_embd_head_k();
-        const int64_t n_embd_head_v = hparams.n_embd_head_v();
-        const int64_t n_ff          = hparams.n_ff();
-        const int64_t n_embd_gqa    = n_embd_v_gqa;
-        const int64_t n_vocab       = vocab.n_tokens();
-        const int64_t n_token_types = vocab.n_token_types();
-        const int64_t n_rot         = hparams.n_rot();
-        const int64_t n_expert      = hparams.n_expert;
-        const int64_t n_expert_used = hparams.n_expert_used;
-        const int64_t n_ctx_train   = hparams.n_ctx_train;
-
-        if (n_expert > 0 && hparams.n_expert_used == 0) {
-            throw std::runtime_error("model has expert layers but no expert layers are used");
-        }
-
-        auto create_tensor = [&](const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) -> ggml_tensor * {
-            const buft_list_t * buft_list_layer = tn.bid == -1 ? nullptr : pimpl->dev_layer.at(tn.bid).buft_list;
-            return ml.create_tensor(
-                hparams, &pimpl->cpu_buft_list, pimpl->dev_input.buft_list, pimpl->dev_output.buft_list, buft_list_layer,
-                tn, ne, flags);
-        };
-
-        layers.resize(n_layer);
-
-        // TODO: move to a separate function
-        const auto tn = LLM_TN(arch);
-
-        // helper: try merged gate_up_exps first, fall back to separate gate and up
-        auto create_tensor_gate_up_exps = [&](llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) {
-            layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED);
-            if (layer.ffn_gate_up_exps == nullptr) {
-                layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
-                layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
-            }
-        };
-        switch (arch) {
-            case LLM_ARCH_LLAMA:
-            case LLM_ARCH_REFACT:
-            case LLM_ARCH_MINICPM:
-            case LLM_ARCH_GRANITE:
-            case LLM_ARCH_GRANITE_MOE:
-            case LLM_ARCH_MISTRAL3:
-            case LLM_ARCH_LLAMA_EMBED:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
-                            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-                        else {
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-
-                        if (n_expert == 0) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                            // optional MLP bias
-                            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                        } else {
-                            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
-
-                            // For Granite MoE Shared
-                            if (hparams.n_ff_shexp > 0) {
-                                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
-                            }
-                        }
-                    }
-                } break;
-            case LLM_ARCH_LLADA:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output =
-                            create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-
-                        // Use separate Q, K, V projections without bias, matching LLaDALlamaBlock
-                        layer.wq =
-                            create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0);
-                        // No bias for QKV projections as per config: include_bias=false, include_qkv_bias=false
-                        layer.wo =
-                            create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
-
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot / 2 },
-                                                         TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
-
-                        // optional MLP bias
-                        layer.ffn_gate_b =
-                            create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_b =
-                            create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED);
-                    }
-                }
-                break;
-            case LLM_ARCH_LLADA_MOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for llada-moe");
-                    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for llada-moe");
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_LLAMA4:
-                {
-                    if (n_expert == 0) {
-                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
-                    }
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0;
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-
-                        if (is_moe_layer) {
-                            const int64_t n_ff_exp = hparams.n_ff_exp;
-
-                            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff_exp, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
-
-                            // Shared expert
-                            const int64_t n_ff_shexp = n_ff_exp;
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, n_ff_shexp}, 0);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd    }, 0);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, n_ff_shexp}, 0);
-                        } else {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_DECI:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa(i);
-                        const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa(i);
-                        const int64_t n_embd_gqa    = hparams.n_embd_v_gqa(i);
-                        const int64_t n_ff          = hparams.n_ff(i);
-                        const int64_t n_head        = hparams.n_head(i);
-                        const int64_t n_head_kv     = hparams.n_head_kv(i);
-
-                        if (n_head_kv == 0 && n_head > 0) {
-                            // linear attention for DeciLMCausalModel
-                            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        }
-                        else if (n_head_kv > 0) {
-                            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-                        }
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-
-                        if (n_ff > 0) {
-                            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        }
-
-                        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
-                            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-                        else {
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-
-                        if (n_ff > 0) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        }
-
-                        // optional MLP bias
-                        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_MINICPM3:
-                {
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
-                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
-
-                    const int64_t q_lora_rank  = hparams.n_lora_q;
-                    const int64_t kv_lora_rank = hparams.n_lora_kv;
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0);
-
-                        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
-
-                        layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
-                        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k}, 0);
-
-                        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0);
-                        layer.wkv_b     = create_tensor(tn(LLM_TENSOR_ATTN_KV_B,     "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0);
-                        layer.wo        = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {              n_head * (                      n_embd_head_v), n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                    }
-                } break;
-            case LLM_ARCH_GROK:
-                {
-                    if (n_expert == 0) {
-                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
-                    }
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff/* / n_expert_used*/; // grok-1 n_ff_exp == n_ff
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff,   n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd,   n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
-
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        if (!layer.ffn_post_norm) {
-                            layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_DBRX:
-                {
-                    if (n_expert == 0) {
-                        throw std::runtime_error("DBRX model cannot have zero experts");
-                    }
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_BAICHUAN:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    {
-                        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_FALCON:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    {
-                        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-
-                        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        if (!output) {
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU
-                        }
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_STARCODER:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, 0);
-
-                    // output
-                    {
-                        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                        output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        if (!output) {
-                            // needs to be on GPU
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                        }
-
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i),   {n_embd, n_ff}, 0);
-                        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i),     {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_BERT:
-            case LLM_ARCH_NOMIC_BERT:
-            case LLM_ARCH_NOMIC_BERT_MOE:
-            case LLM_ARCH_JINA_BERT_V3:
-                {
-                    if (n_token_types == 0) {
-                        throw std::runtime_error(arch_name() + " model needs to define token type count");
-                    }
-                    tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
-                    type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
-
-                    if (arch == LLM_ARCH_BERT) {
-                        pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train}, 0);
-
-                        cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
-                        cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
-
-                        cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
-                        cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
-                    }
-
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (!layer.wqkv) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i),   {n_embd}, 0);
-
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i),   {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i),   {n_embd_gqa}, 0);
-                        }
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
-
-                        if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) {
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff,   n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff,   n_embd, n_expert}, 0);
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,   "weight", i), {n_embd, n_expert}, 0);
-                        } else {
-                            layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                            if (arch == LLM_ARCH_NOMIC_BERT) {
-                                layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                            }
-                        }
-
-                        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
-                        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i),   {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_MODERN_BERT:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    for(int i = 0; i < n_layer; ++i) {
-                        auto& layer = layers[i];
-
-                        if ( i != 0 ) {
-                            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        } else{
-                            // layer 0 uses identity
-                            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        }
-
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, 3 * n_embd }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,   "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, 2 * n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                    }
-
-                    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
-                    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
-                    cls       = create_tensor(tn(LLM_TENSOR_CLS,      "weight"), {n_embd, n_embd},            TENSOR_NOT_REQUIRED);
-                    cls_norm  = create_tensor(tn(LLM_TENSOR_CLS_NORM, "weight"), {n_embd},                    TENSOR_NOT_REQUIRED);
-
-                } break;
-            case LLM_ARCH_NEO_BERT:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
-
-                    cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
-                    cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
-
-                    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
-                    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
-
-                    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff*2}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_EUROBERT:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+    if (n_ctx_seq > hparams.n_ctx_orig_yarn) {
+        return layers[il].rope_long;
+    }
 
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_JINA_BERT_V2:
-                {
-                    tok_embd  = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0); // word_embeddings
-                    type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, 0); // token_type_embeddings
-
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); // LayerNorm
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0); // LayerNorm bias
-
-                    cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, 1}, TENSOR_NOT_REQUIRED);
-                    cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {1},         TENSOR_NOT_REQUIRED);
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i]; // JinaBertLayer
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i),   {n_embd}, 0);
-
-                        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias",   i), {n_embd_gqa}, 0);
-
-                        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias",   i), {n_embd_gqa}, 0);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); //output_dens
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0); //output_dens
-
-                        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); //output_norm
-                        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias",   i), {n_embd}, 0);
-
-                        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
-
-                        const auto tn_ffn_up_weight = tn(LLM_TENSOR_FFN_UP, "weight", i);
-                        ggml_tensor * t_ffn_up = ml.get_tensor_meta(tn_ffn_up_weight.str().c_str());
-                        const int64_t n_ffn_up = t_ffn_up ? t_ffn_up->ne[1] : n_ff;
-
-                        GGML_ASSERT(n_ffn_up == n_ff || n_ffn_up == n_ff * 2);
-                        layer.ffn_up   = create_tensor(tn_ffn_up_weight, {n_embd, n_ffn_up}, 0);
-                        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ffn_up}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, 0);
-
-                        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
-                        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias",   i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_BLOOM:
-                {
-                    tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias",   i), {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias",   i), {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_MPT:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, TENSOR_NOT_REQUIRED);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output    = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
-
-                        // FIXME test-llama-archs crashes if q_norm is created
-                        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
-                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
-
-                        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        // AWQ ScaleActivation layer
-                        layer.ffn_act = create_tensor(tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_STABLELM:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm =   create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // optional bias tensors, present in Stable LM 2 1.6B
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        // optional q and k layernorms, present in StableLM 2 12B
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head},    TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
-
-                        // optional FFN norm, not present in StableLM 2 12B which uses parallel residual
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd*3}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd*3}, 0);
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff/2}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff/2, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff/2}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN2:
-            case LLM_ARCH_QWEN2VL:
-            case LLM_ARCH_DREAM:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    output_b    = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN2MOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        if (n_expert == 0) {
-                            throw std::runtime_error("n_expert must be > 0 for QWEN2MOE");
-                        }
-                        if (n_expert_used == 0) {
-                            throw std::runtime_error("n_expert_used must be > 0 for QWEN2MOE");
-                        }
-
-                        // MoE branch
-                        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                        // Shared expert branch
-                        const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
-
-                        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, n_ff_shexp}, 0);
-                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp,     n_embd}, 0);
-                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, n_ff_shexp}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN3:
-            case LLM_ARCH_QWEN3VL:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    // output rerank head
-                    cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN3MOE:
-            case LLM_ARCH_QWEN3VLMOE:
-            case LLM_ARCH_RND1:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        if (n_expert == 0) {
-                            throw std::runtime_error("n_expert must be > 0 for QWEN3MOE");
-                        }
-                        if (n_expert_used == 0) {
-                            throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE");
-                        }
-
-                        // MoE branch
-                        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_PHI2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-                    output_b      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i),   {n_embd}, 0);
-
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i),   {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i),   {n_embd_gqa}, 0);
-                        }
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_PHI3:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
-
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
-                        layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, 2 * n_ff }, 0);
-
-                        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                    }
-                } break;
-            case LLM_ARCH_PHIMOE:
-                {
-                    const int64_t n_embd_head = n_embd / n_head;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), { n_embd, n_vocab }, 0);
-                    output_b      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   { n_vocab }, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), { n_embd }, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), { n_embd, n_embd + 2 * n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias",   i), {n_embd}, 0);
-
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias",   i), {n_embd_gqa}, 0);
-
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias",   i), {n_embd_gqa}, 0);
-                        }
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), { n_embd }, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), { n_embd }, 0);
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert},         0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
-
-                        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                     }
-                } break;
-            case LLM_ARCH_PLAMO:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_PLAMO2:
-                {
-                    // mamba parameters
-                    const uint32_t d_conv             = hparams.ssm_d_conv;
-                    const uint32_t d_state            = hparams.ssm_d_state;
-                    const uint32_t num_heads          = hparams.ssm_dt_rank;
-                    const uint32_t intermediate_size  = hparams.ssm_d_inner;
-                    const int64_t dt_dim              = std::max(64, int(hparams.n_embd / 16));
-
-                    // attention parameters
-                    const uint32_t qk_dim = hparams.n_embd_head_k();
-                    const uint32_t v_dim  = hparams.n_embd_head_v();
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        bool is_mamba_layer = hparams.is_recurrent(i);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (is_mamba_layer) {
-                            layer.ssm_in       = create_tensor(tn(LLM_TENSOR_SSM_IN,     "weight", i), {n_embd, 2 * intermediate_size}, 0);
-                            layer.ssm_conv1d   = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, intermediate_size}, 0);
-
-                            layer.ssm_x    = create_tensor(tn(LLM_TENSOR_SSM_X,  "weight", i), {intermediate_size, dt_dim + 2*d_state}, 0);
-                            layer.ssm_dt   = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_dim, num_heads}, 0);
-                            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {num_heads}, 0);
-
-                            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {num_heads}, 0);
-                            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {num_heads}, 0);
-
-                            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {intermediate_size, n_embd}, 0);
-
-                            layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, i), {dt_dim}, 0);
-                            layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, i), {d_state}, 0);
-                            layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, i), {d_state}, 0);
-                        } else {
-                            const int64_t num_attention_heads = hparams.n_head(i);
-                            const int64_t q_num_heads         = num_attention_heads;
-                            const int64_t num_key_value_heads = hparams.n_head_kv(i);
-                            const int64_t k_num_heads         = num_key_value_heads;
-                            const int64_t v_num_heads         = num_key_value_heads;
-                            const int64_t q_proj_dim          = q_num_heads * qk_dim;
-                            const int64_t k_proj_dim          = k_num_heads * qk_dim;
-                            const int64_t v_proj_dim          = v_num_heads * v_dim;
-
-                            layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, q_proj_dim + k_proj_dim + v_proj_dim}, 0);
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {qk_dim, num_attention_heads}, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {qk_dim, k_num_heads}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {q_num_heads * v_dim, n_embd}, 0);
-                        }
-
-                        // All layers have post-attention norm, FFN norm, and FFN tensors
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0);
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_PLAMO3:
-                {
-                    const int64_t head_dim_q = hparams.n_embd_head_k();
-                    const int64_t head_dim_v = hparams.n_embd_head_v();
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        const int64_t num_attention_heads = hparams.n_head(i);
-                        const int64_t num_key_value_heads = hparams.n_head_kv(i);
-                        const int64_t q_proj_dim = num_attention_heads * head_dim_q;
-                        const int64_t k_proj_dim = num_key_value_heads * head_dim_q;
-                        const int64_t v_proj_dim = num_key_value_heads * head_dim_v;
-                        const int64_t n_ff_cur   = hparams.n_ff(i);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i),
-                                {n_embd,q_proj_dim + k_proj_dim + v_proj_dim}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {head_dim_q}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {head_dim_q}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {num_attention_heads * head_dim_v, n_embd}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0);
-
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff_cur * 2}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GPT2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-                    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_CODESHELL:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if tok embd is NULL, init from output
-                    if (tok_embd == NULL) {
-                        tok_embd = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i),   {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i),     {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_ORION:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_INTERNLM2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        // layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GEMMA:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GEMMA2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GEMMA3:
-            case LLM_ARCH_GEMMA_EMBEDDING:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,   "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    // Dense linear weights
-                    dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED);
-                    dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED);
-
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GEMMA3N:
-                {
-                    const int64_t n_altup      = hparams.n_altup;
-                    const int64_t laurel_rank  = hparams.laurel_rank;
-                    const int64_t n_embd_altup = hparams.n_embd_altup;
-
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    tok_embd           = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,           "weight"), {n_embd, n_vocab}, 0);
-                    tok_embd_per_layer = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0);
-
-                    altup_proj           = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ,           "weight"), {n_embd, n_embd, n_altup - 1}, 0);
-                    altup_unembd_proj    = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ,    "weight"), {n_embd, n_embd, n_altup - 1}, 0);
-                    per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight"), {n_embd, n_embd_altup * n_layer}, 0);
-                    per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight"), {n_embd_altup}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        // altup & laurel
-                        layer.per_layer_inp_gate   = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE,  "weight", i), {n_embd, n_embd_altup}, 0);
-                        layer.per_layer_proj       = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ,      "weight", i), {n_embd_altup, n_embd}, 0);
-                        layer.per_layer_post_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0);
-                        layer.altup_correct_coef   = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_COEF,  "weight", i), {n_altup, n_altup}, 0);
-                        layer.altup_correct_scale  = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_SCALE, "weight", i), {n_embd}, 0);
-                        layer.altup_predict_coef   = create_tensor(tn(LLM_TENSOR_ALTUP_PREDICT_COEF,  "weight", i), {n_altup, n_altup * n_altup}, 0);
-                        layer.altup_router         = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER,        "weight", i), {n_embd, n_altup}, 0);
-                        layer.altup_router_norm    = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER_NORM,   "weight", i), {n_embd}, 0);
-                        layer.laurel_l             = create_tensor(tn(LLM_TENSOR_LAUREL_L,            "weight", i), {n_embd, laurel_rank}, 0);
-                        layer.laurel_r             = create_tensor(tn(LLM_TENSOR_LAUREL_R,            "weight", i), {laurel_rank, n_embd}, 0);
-                        layer.laurel_post_norm     = create_tensor(tn(LLM_TENSOR_LAUREL_POST_NORM,    "weight", i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GEMMA4:
-                {
-                    const uint32_t n_embd_per_layer = hparams.n_embd_per_layer;
-                    const int64_t  n_ff_exp         = hparams.n_ff_exp;
-
-                    if (n_embd_head_k != n_embd_head_v) {
-                        throw std::runtime_error("Gemma 4 requires n_embd_head_k == n_embd_head_v");
-                    }
-                    if (hparams.n_embd_head_k_swa != hparams.n_embd_head_v_swa) {
-                        throw std::runtime_error("Gemma 4 requires n_embd_head_k_swa == n_embd_head_v_swa");
-                    }
-
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    if (n_embd_per_layer > 0) {
-                        tok_embd_per_layer   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_per_layer * n_layer, n_vocab}, 0);
-                        per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight"), {n_embd, n_embd_per_layer * n_layer}, 0);
-                        per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight"), {n_embd_per_layer}, 0);
-                    }
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    int rope_freqs_flag = 0;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        const int64_t n_head      = hparams.n_head(i);
-                        const int64_t n_embd_head = hparams.n_embd_head_k(i);
-                        const int64_t n_embd_k    = hparams.n_embd_k_gqa(i);
-                        const int64_t n_embd_v    = hparams.n_embd_v_gqa(i);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        // note: use_alternative_attention (v_proj is optional, if it's not present, use k_proj)
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v}, TENSOR_NOT_REQUIRED);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head * n_head, n_embd}, 0);
-
-                        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head}, 0);
-                        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.out_scale = create_tensor(tn(LLM_TENSOR_LAYER_OUT_SCALE, "weight", i), {1u}, TENSOR_NOT_REQUIRED);
-
-                        if (!hparams.is_swa(i)) {
-                            // full_attention layers use rope_freqs for proportional rope
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_embd_head/2}, rope_freqs_flag);
-                            rope_freqs_flag = TENSOR_DUPLICATED;
-                        }
-
-                        // handle use_double_wide_mlp
-                        int64_t n_ff_cur = hparams.n_ff(i);
-
-                        // for expert layers, we use normal FFN as shared expert (same as python code)
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff_cur}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff_cur}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        // MoE router
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-                        bool has_expert = layer.ffn_gate_inp != nullptr;
-
-                        // norm
-                        if (has_expert) {
-                            layer.ffn_gate_inp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "scale", i), {n_embd}, 0);
-
-                            layer.ffn_pre_norm_2  = create_tensor(tn(LLM_TENSOR_FFN_PRE_NORM_2,  "weight", i), {n_embd}, 0);
-                            layer.ffn_post_norm_1 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_1, "weight", i), {n_embd}, 0);
-                            layer.ffn_post_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_2, "weight", i), {n_embd}, 0);
-
-                            // MoE FFN
-                            layer.ffn_gate_up_exps  = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS,  "weight", i), {n_embd, n_ff_exp * 2, n_expert}, 0);
-                            layer.ffn_down_exps     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS,     "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
-
-                            // per-expert scale will be loaded as down_exps_s at the end of the current switch case
-                        }
-
-                        // per-layer embeddings
-                        if (n_embd_per_layer > 0) {
-                            layer.per_layer_inp_gate   = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE,  "weight", i), {n_embd, n_embd_per_layer}, 0);
-                            layer.per_layer_proj       = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ,      "weight", i), {n_embd_per_layer, n_embd}, 0);
-                            layer.per_layer_post_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_STARCODER2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                        // optional bias tensors
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP ,  "bias", i), {  n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_MAMBA:
-                {
-                    const int64_t d_conv  = hparams.ssm_d_conv;
-                    const int64_t d_inner = hparams.ssm_d_inner;
-                    const int64_t d_state = hparams.ssm_d_state;
-                    const int64_t dt_rank = hparams.ssm_dt_rank;
-
-                    // only an expansion factor of 2 is supported for now
-                    if (2 * n_embd != d_inner) {
-                        throw std::runtime_error("only an expansion factor of 2 is supported for now");
-                    }
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed, duplicated to allow offloading
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        // norm
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0);
-
-                        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0);
-                        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0);
-
-                        layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0);
-
-                        layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0);
-                        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0);
-
-                        // no "weight" suffix for these
-                        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0);
-                        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0);
-
-                        // out_proj
-                        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_MAMBA2:
-                {
-                    const int64_t d_conv  = hparams.ssm_d_conv;
-                    const int64_t d_inner = hparams.ssm_d_inner;
-                    const int64_t d_state = hparams.ssm_d_state;
-                    const int64_t n_head  = hparams.ssm_dt_rank;
-                    const int64_t n_group = hparams.ssm_n_group;
-                    const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head;
-
-                    // only an expansion factor of 2 is supported for now
-                    GGML_ASSERT(2 * n_embd == d_inner);
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    {
-                        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        // if output is NULL, init from the input tok embed, duplicated to allow offloading
-                        if (output == NULL) {
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                        }
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        // norm
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
-
-                        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
-                        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, 0);
-
-                        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_head}, 0);
-
-                        // no "weight" suffix for these
-                        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0);
-                        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_head}, 0);
-
-                        layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
-
-                        // out_proj
-                        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_JAMBA:
-                {
-                    const int64_t d_conv  = hparams.ssm_d_conv;
-                    const int64_t d_inner = hparams.ssm_d_inner;
-                    const int64_t d_state = hparams.ssm_d_state;
-                    const int64_t dt_rank = hparams.ssm_dt_rank;
-
-                    // only an expansion factor of 2 is supported for now
-                    GGML_ASSERT(2 * n_embd == d_inner);
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    {
-                        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        // if output is NULL, init from the input tok embed, duplicated to allow offloading
-                        if (output == NULL) {
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                        }
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        const int64_t n_head_kv = hparams.n_head_kv(i);
-                        const int64_t n_embd_gqa = hparams.n_embd_v_gqa(i);
-
-                        auto & layer = layers[i];
-
-                        // norm
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (n_head_kv == 0) {
-                            // Mamba layer
-                            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0);
-
-                            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0);
-                            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0);
-
-                            layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0);
-
-                            layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, "weight", i), {dt_rank}, 0);
-
-                            layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0);
-                            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0);
-
-                            layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, "weight", i), {d_state}, 0);
-                            layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, "weight", i), {d_state}, 0);
-
-                            // no "weight" suffix for these
-                            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0);
-                            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0);
-
-                            // out_proj
-                            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
-                        } else {
-                            // Attention layers
-
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        }
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-
-                        if (layer.ffn_gate_inp) {
-                            // MoE
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff, n_expert}, 0);
-                        } else {
-                            // FFN (no MoE)
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_GRANITE_HYBRID:
-                {
-                    // mamba2 Mixer SSM params
-                    // NOTE: int64_t for tensor dimensions
-                    const int64_t d_conv     = hparams.ssm_d_conv;
-                    const int64_t d_inner    = hparams.ssm_d_inner;
-                    const int64_t d_state    = hparams.ssm_d_state;
-                    const int64_t n_ssm_head = hparams.ssm_dt_rank;
-                    const int64_t n_group    = hparams.ssm_n_group;
-                    const int64_t d_in_proj  = 2*d_inner + 2*n_group*d_state + n_ssm_head;
-
-                    // only an expansion factor of 2 is supported for now
-                    GGML_ASSERT(2 * n_embd == d_inner);
-
-                    // embeddings
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    {
-                        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        // if output is NULL, init from the input tok embed, duplicated to allow offloading
-                        if (output == NULL) {
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                        }
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        // norm
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (hparams.is_recurrent(i)) {
-                            // ssm layers
-                            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
-
-                            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
-                            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED);
-
-                            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0);
-
-                            // no "weight" suffix for these
-                            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0);
-                            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0);
-
-                            layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
-
-                            // out_proj
-                            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
-                        } else {
-                            // attention layers (with optional bias)
-                            const int64_t n_head_i = hparams.n_head(i);
-                            const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
-                            const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_i}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa_i}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa_i}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},         TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_k_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_v_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},         TENSOR_NOT_REQUIRED);
-                        }
-
-                        // feed forward (w/ optional biases)
-                        if (n_expert > 0) {
-                            // MoE FFN
-                            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
-
-                            // For Granite MoE Shared
-                            if (hparams.n_ff_shexp > 0) {
-                                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
-                                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
-                            }
-                        } else {
-                            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_XVERSE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_COMMAND_R:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // init output from the input tok embed
-                    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (n_layer >= 64){
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0);
-                        }
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_COHERE2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    // init output from the input tok embed
-                    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab },
-                                                      TENSOR_DUPLICATED);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
-                    }
-                }
-                break;
-            case LLM_ARCH_OLMO:  // adapted from LLM_ARCH_LLAMA with norm params removed
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_OLMO2:
-                {
-                    const int64_t n_embd_head = n_embd / n_head;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_head_kv * n_embd_head}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_SEED_OSS:
-                {
-                    const uint32_t head_dim             = hparams.n_embd_head_k();
-                    const int64_t n_qo_dim              = n_head * head_dim;
-                    const int64_t n_kv_dim              = n_head_kv * head_dim;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_qo_dim}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_kv_dim}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_kv_dim}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, 0);
-
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_qo_dim},   TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_kv_dim},   TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_kv_dim},   TENSOR_NOT_REQUIRED);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                    }
-                } break;
-
-            case LLM_ARCH_OLMOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        if (n_expert == 0) {
-                            throw std::runtime_error("n_expert must be > 0");
-                        }
-                        if (n_expert_used == 0) {
-                            throw std::runtime_error("n_expert_used must be > 0");
-                        }
-
-                        // MoE branch
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_OPENELM:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // init output from the input tok embed
-                    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        const int64_t n_head      =   hparams.n_head(i);
-                        const int64_t n_head_qkv  = 2*hparams.n_head_kv(i) + n_head;
-                        const int64_t n_ff        =   hparams.n_ff(i);
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_head_qkv*n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head*n_embd_head_k, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GPTNEOX:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_ARCTIC:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_embd}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_embd, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                        layer.ffn_norm_exps = create_tensor(tn(LLM_TENSOR_FFN_NORM_EXPS, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, false);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_DEEPSEEK:
-                {
-
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // try to load output.weight, if not found, use token_embd (tied embeddings)
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        } else {
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            // MoE branch
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                            // Shared expert branch
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_DEEPSEEK2:
-            case LLM_ARCH_MISTRAL4:
-                {
-                    const bool is_mla = hparams.is_mla();
-
-                    // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
-                    const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
-                    const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
-
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
-                    const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
-                    GGML_ASSERT(n_embd_head_qk_nope >= 1);
-
-                    const int64_t q_lora_rank  = hparams.n_lora_q;
-                    const int64_t kv_lora_rank = hparams.n_lora_kv;
-
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // try to load output.weight, if not found, use token_embd (tied embeddings)
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        if (q_lora_rank > 0) {
-                            layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0);
-                        }
-
-                        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
-
-                        if (q_lora_rank > 0) {
-                            layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
-                            layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0);
-                        } else {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0);
-                        }
-
-                        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, 0);
-
-                        // note: only old legacy GGUF files will have the unsplit wkv_b tensor in
-                        if (is_mla) {
-                            layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, 0);
-                            layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0);
-                        } else {
-                            layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v_mla)}, 0);
-                        }
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        } else {
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            // MoE branch
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
-
-                            // Shared expert branch
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_DEEPSEEK2OCR:
-                {
-                    // similar to deepseek2, but without MLA
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // try to load output.weight, if not found, use token_embd (tied embeddings)
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // norm
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        } else {
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            // MoE branch
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
-
-                            // Shared expert branch
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_PLM:
-                {
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
-                    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
-                    const int64_t kv_lora_rank = hparams.n_lora_kv;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-                    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq        = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0);
-                        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
-                        layer.wkv_b     = create_tensor(tn(LLM_TENSOR_ATTN_KV_B,     "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0);
-                        layer.wo        = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {              n_head * (                      n_embd_head_v), n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_BITNET:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm     = create_tensor(tn(LLM_TENSOR_ATTN_NORM,     "weight", i), {n_embd}, 0);
-                        layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq       = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wq_s     = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                        layer.wk       = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wk_s     = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                        layer.wv       = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv_s     = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                        layer.wo       = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.wo_s     = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm     = create_tensor(tn(LLM_TENSOR_FFN_NORM,     "weight", i), {n_embd}, 0);
-                        layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0);
-
-                        layer.ffn_gate       = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down       = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up         = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_s   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_T5:
-                {
-                    const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm     = create_tensor(tn(LLM_TENSOR_DEC_OUTPUT_NORM, "weight"), {n_embd}, 0);
-
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    // n_layer:     number of encoder_layers
-                    // dec_n_layer: number of decoder_layers
-                    const int dec_n_layer = hparams.dec_n_layer;
-                    if (dec_n_layer > n_layer) {
-                        layers.resize(dec_n_layer);
-                    }
-
-                    // load encoder layers
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm_enc  = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM,  "weight", i), {n_embd}, 0);
-                        layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
-
-                        layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
-
-                        layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up_enc   = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-
-                    // load decoder layers
-                    for (int i = 0; i < dec_n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_DEC_ATTN_NORM,  "weight", i), {n_embd}, 0);
-                        layer.attn_rel_b = create_tensor(tn(LLM_TENSOR_DEC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_DEC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_DEC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_DEC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_DEC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
-
-                        layer.attn_norm_cross  = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM,  "weight", i), {n_embd}, 0);
-                        // this tensor seems to be unused in HF transformers implementation
-                        layer.attn_rel_b_cross = create_tensor(
-                            tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
-
-                        layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_DEC_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_DEC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_DEC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_DEC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_T5ENCODER:
-                {
-                    const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm_enc  = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM,  "weight", i), {n_embd}, 0);
-                        layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
-
-                        layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
-
-                        layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up_enc   = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_JAIS:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, 0);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-
-                        layer.ffn_gate   = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "bias", i),   {n_ff}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_JAIS2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        // attention biases - all have shape n_embd (output dimension of projections)
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
-
-                        // Jais-2 uses simple MLP (no gate) with biases
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_CHATGLM:
-                {
-                    tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        }
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, 0);
-
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_GLM4:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        int flags = 0;
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            // skip all tensors in the NextN layers
-                            flags |= TENSOR_SKIP;
-                        }
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                        layer.bqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i),   {n_embd + 2*n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-
-                        if (layer.wqkv == nullptr) {
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, flags);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, flags);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, flags);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, flags | TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, flags | TENSOR_NOT_REQUIRED);
-                        }
-
-                        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
-
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, flags);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, flags);
-
-                        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, flags);
-
-                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
-                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
-                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
-
-                            // Optional tensors
-                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_GLM4_MOE:
-                {
-                    const int64_t n_expert        = hparams.n_expert;
-                    const int64_t n_expert_used   = hparams.n_expert_used;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    GGML_ASSERT(hparams.n_expert > 0 && "n_expert must be > 0 for GLM4_MOE MoE layers");
-                    GGML_ASSERT(hparams.n_expert_used > 0 && "n_expert_used must be > 0 for GLM4_MOE MoE layers");
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
-                    }
-
-                    // Load ALL tensors including NextN layer to satisfy total tensor count
-                    // but only PROCESS up to last layer (skipping final NextN layer) in forward pass
-                    for (int i = 0; i < n_layer; ++i) {
-                        int flags = 0;
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            // skip all tensors in the NextN layers
-                            flags |= TENSOR_SKIP;
-                        }
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, flags);
-
-                        // GLM-style attention with bias terms
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, flags);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, flags);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, flags);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), { n_embd_head_k * n_head }, TENSOR_NOT_REQUIRED | flags);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), { n_embd_k_gqa }, TENSOR_NOT_REQUIRED | flags);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), { n_embd_v_gqa }, TENSOR_NOT_REQUIRED | flags);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, flags);
-
-                        // K/Q norm tensors (optional for GLM-4.5 355B variant)
-                        layer.attn_q_norm = create_tensor(
-                            tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags);
-                        layer.attn_k_norm = create_tensor(
-                            tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags);
-
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, flags);
-
-                        // Check if this layer uses MoE or dense FFN based on n_layer_dense_lead
-                        // GLM 4.5 uses hybrid architecture: layer 0 is dense, layers 1+ are MoE
-                        const bool use_moe = (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead);
-
-                        if (use_moe) {
-                            // MoE layers
-                            layer.ffn_gate_inp =
-                                create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, flags);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), { n_expert }, flags);
-
-                            // MoE branch
-                            const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                            layer.ffn_gate_exps = create_tensor(
-                                tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags);
-                            layer.ffn_down_exps = create_tensor(
-                                tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, flags);
-                            layer.ffn_up_exps = create_tensor(
-                                tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags);
-
-                            // Shared expert
-                            if (n_expert_shared > 0) {
-                                const int64_t n_ff_shexp = n_ff_exp * n_expert_shared;
-                                layer.ffn_gate_shexp = create_tensor(
-                                    tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags);
-                                layer.ffn_down_shexp = create_tensor(
-                                    tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, flags);
-                                layer.ffn_up_shexp = create_tensor(
-                                    tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags);
-                            }
-                        } else {
-                            // Dense layers (first k layers) - GLM uses separate gate/up projections
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, flags);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, flags);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), { n_embd, n_ff }, flags);
-                        }
-
-                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
-                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
-                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
-
-                            // Optional tensors
-                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
-                        }
-                    }
-                }
-                break;
-            case LLM_ARCH_GLM_DSA:
-                {
-                    const bool is_mla = hparams.is_mla();
-                    if (!is_mla) {
-                        throw std::runtime_error("GLM_DSA architecture requires MLA");
-                    }
-
-                    // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
-                    const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
-                    const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
-
-                    const int64_t n_embd_head_qk_rope = hparams.n_rot();
-                    const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
-
-                    const int64_t q_lora_rank  = hparams.n_lora_q;
-                    const int64_t kv_lora_rank = hparams.n_lora_kv;
-
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    // try to load output.weight, if not found, use token_embd (tied embeddings)
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    if (!output) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        int flags = 0;
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            // skip all tensors in the NextN layers
-                            // TODO @ngxson : TENSOR_NOT_REQUIRED was a hack, need to remove it later
-                            flags |= TENSOR_SKIP | TENSOR_NOT_REQUIRED;
-                        }
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
-                        layer.attn_q_a_norm  = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, flags);
-                        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, flags);
-
-                        layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, flags);
-                        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, flags);
-
-                        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, flags);
-
-                        // note: only old legacy GGUF files will have the unsplit wkv_b tensor in
-                        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, flags);
-                        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, flags);
-
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, flags);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
-
-                        // DSA indexer
-                        layer.indexer_k_norm   = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "weight", i), {hparams.indexer_head_size}, flags);
-                        layer.indexer_k_norm_b = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "bias",   i), {hparams.indexer_head_size}, flags);
-                        layer.indexer_proj     = create_tensor(tn(LLM_TENSOR_INDEXER_PROJ,     "weight", i), {n_embd, hparams.indexer_n_head}, flags);
-                        layer.indexer_attn_k   = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_K,   "weight", i), {n_embd, hparams.indexer_head_size}, flags);
-                        layer.indexer_attn_q_b = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_Q_B, "weight", i), {q_lora_rank, hparams.indexer_n_head * hparams.indexer_head_size}, flags);
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, flags);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, flags);
-                        } else {
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            // MoE branch
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, flags);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
-
-                            // Shared expert branch
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, flags);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
-                        }
-
-                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
-                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
-                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
-
-                            // Optional tensors
-                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_NEMOTRON:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
-                    output        = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0);
-
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                        // optional MLP bias
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_NEMOTRON_H:
-            case LLM_ARCH_NEMOTRON_H_MOE:
-                {
-                    // mamba2 Mixer SSM params
-                    // NOTE: int64_t for tensor dimensions
-                    const int64_t d_conv     = hparams.ssm_d_conv;
-                    const int64_t d_inner    = hparams.ssm_d_inner;
-                    const int64_t d_state    = hparams.ssm_d_state;
-                    const int64_t n_ssm_head = hparams.ssm_dt_rank;
-                    const int64_t n_group    = hparams.ssm_n_group;
-                    const int64_t d_in_proj  = 2*d_inner + 2*n_group*d_state + n_ssm_head;
-                    const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd;
-
-                    // embeddings
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    {
-                        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                        // if output is NULL, init from the input tok embed, duplicated to allow offloading
-                        if (output == NULL) {
-                            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                        }
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        // all blocks use the attn norm
-                        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (hparams.is_recurrent(i)) {
-                            // ssm layers
-                            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
-
-                            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
-                            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED);
-
-                            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0);
-
-                            // no "weight" suffix for these
-                            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0);
-                            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0);
-
-                            layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
-
-                            // out_proj
-                            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
-                        } else if (hparams.n_ff(i) == 0) {
-                            // attention layers (with optional bias)
-                            const int64_t n_head_i = hparams.n_head(i);
-                            const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
-                            const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_i}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa_i}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa_i}, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
-                            layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias",   i), {n_embd},         TENSOR_NOT_REQUIRED);
-                            layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias",   i), {n_embd_k_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias",   i), {n_embd_v_gqa_i}, TENSOR_NOT_REQUIRED);
-                            layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd},         TENSOR_NOT_REQUIRED);
-                        }  else {
-                            if (n_expert != 0) {
-                                const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-                                const int64_t n_ff_shexp = hparams.n_ff_shexp;
-
-                                layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert}, 0);
-                                layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert         }, 0);
-
-                                // MoE branch
-                                layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED);
-                                layer.ffn_latent_up   = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP,   "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED);
-
-                                layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   moe_n_embd, n_expert}, 0);
-                                layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0);
-
-                                // Shared expert branch
-                                layer.ffn_down_shexp  = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
-                                layer.ffn_up_shexp    = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
-
-                            } else {
-                                // mlp layers
-                                layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  hparams.n_ff(i), n_embd}, 0);
-                                layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   hparams.n_ff(i)}, 0);
-                                layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
-                                layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias",   i), {hparams.n_ff(i)}, TENSOR_NOT_REQUIRED);
-                            }
-                        }
-                    }
-                } break;
-            case LLM_ARCH_EXAONE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM,   "weight", i), {n_embd}, 0);
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        layer.ffn_gate   = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN,   "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,     "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_EXAONE4:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_EXAONE_MOE:
-                {
-                    const int64_t n_ff_exp       = hparams.n_ff_exp;
-                    const int64_t n_expert       = hparams.n_expert;
-                    const int64_t n_expert_used  = hparams.n_expert_used;
-                    const int64_t n_ff_shexp     = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp;
-                    const int64_t head_dim       = hparams.n_embd_head_k();
-                    const int64_t n_qo_dim       = n_head * head_dim;
-                    const int64_t n_kv_dim       = n_head_kv * head_dim;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        int flags = 0;
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            // skip all tensors in the NextN layers
-                            flags |= TENSOR_SKIP;
-                        }
-
-                        auto & layer = layers[i];
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_qo_dim}, flags);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_kv_dim}, flags);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_kv_dim}, flags);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, flags);
-
-                        layer.rope_freqs   = create_tensor(tn(LLM_TENSOR_ROPE_FREQS,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0) | flags);
-
-                        layer.attn_norm    = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, flags);
-                        layer.attn_q_norm  = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags);
-                        layer.attn_k_norm  = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags);
-
-                        layer.ffn_norm     = create_tensor(tn(LLM_TENSOR_FFN_NORM,    "weight", i), {n_embd}, flags);
-
-                        // dense layers for first n_layer_dense_lead layers or nextn_predict_layers layers at the end
-                        if (i < (int) hparams.n_layer_dense_lead || (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers)) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, flags);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, flags);
-                        } else {
-                            layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, flags);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            layer.ffn_gate_exps  = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS,  "weight", i), {n_embd, n_ff_exp, n_expert}, flags);
-                            layer.ffn_down_exps  = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS,  "weight", i), {n_ff_exp, n_embd, n_expert}, flags);
-                            layer.ffn_up_exps    = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,    "weight", i), {n_embd, n_ff_exp, n_expert}, flags);
-
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, flags);
-                        }
-
-                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, flags);
-                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM,   "weight", i), {n_embd}, flags);
-                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM,   "weight", i), {n_embd}, flags);
-
-                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), {n_embd}, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS,     "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED);
-                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_RWKV6:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // Block 0, LN0
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
-
-                    const int time_mix_extra_dim = hparams.time_mix_extra_dim;
-                    const int time_decay_extra_dim = hparams.time_decay_extra_dim;
-                    const int head_size = hparams.wkv_head_size;
-                    const int attn_hidden_size = n_embd;
-                    const int ffn_size = hparams.n_ff_arr[0];
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, 0);
-
-                        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0);
-                        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0);
-
-                        layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0);
-                        layer.time_mix_lerp_w = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_W, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_lerp_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_lerp_v = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_V, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_lerp_r = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_lerp_g = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_G, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, TENSOR_NOT_REQUIRED);
-                        GGML_ASSERT(!(layer.time_mix_lerp_fused == NULL && layer.time_mix_lerp_w == NULL));
-
-                        layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, 0);
-                        layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0);
-                        layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0);
-                        layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0);
-                        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0);
-
-                        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0);
-                        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0);
-                        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
-
-                        layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0);
-                        layer.channel_mix_lerp_r = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, 0);
-
-                        layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0);
-                        layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0);
-                        layer.channel_mix_receptance = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "weight", i), {n_embd, n_embd}, 0);
-                    }
-
-                } break;
-            case LLM_ARCH_RWKV6QWEN2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
-
-                    const int time_mix_extra_dim = hparams.time_mix_extra_dim;
-                    const int time_decay_extra_dim = hparams.time_decay_extra_dim;
-                    const int head_size = hparams.wkv_head_size;
-                    const int attn_hidden_size = n_embd;
-                    const int n_head_kv = hparams.n_head_kv();
-                    int attn_key_value_size;
-                    if (n_head_kv == 0 || attn_hidden_size / head_size == n_head_kv) {
-                        attn_key_value_size = attn_hidden_size;
-                    } else {
-                        attn_key_value_size = n_head_kv * head_size;
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0);
-                        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0);
-
-                        layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0);
-                        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0);
-
-                        layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0);
-                        layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0);
-                        layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0);
-                        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {n_embd, attn_key_value_size}, 0);
-                        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {n_embd, attn_key_value_size}, 0);
-                        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        // optional bias tensors
-                        layer.time_mix_key_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_value_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_receptance_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "bias", i), {attn_hidden_size}, TENSOR_NOT_REQUIRED);
-
-                        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_RWKV7:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // Block 0, LN0
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
-
-                    const int n_lora_decay = hparams.n_lora_decay;
-                    const int n_lora_iclr = hparams.n_lora_iclr;
-                    const int n_lora_value_res_mix = hparams.n_lora_value_res_mix;
-                    const int n_lora_gate = hparams.n_lora_gate;
-                    const int attn_hidden_size = n_embd;
-                    const int ffn_size = hparams.n_ff_arr[0];
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
-
-                        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0);
-                        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, 0);
-
-                        layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0);
-                        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0);
-                        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0);
-
-                        layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0);
-                        layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0);
-                        layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0);
-
-                        if (i == 0) {
-                            // actually not used
-                            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
-                            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0);
-                            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0);
-                        } else {
-                            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
-                            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0);
-                            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0);
-                        }
-
-                        layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, 0);
-                        layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, 0);
-
-                        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0);
-
-                        layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0);
-                        layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0);
-                        layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0);
-
-                        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
-
-                        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0);
-                        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0);
-                        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
-
-                        layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0);
-
-                        layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0);
-                        layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0);
-                    }
-
-                } break;
-            case LLM_ARCH_ARWKV7:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
-
-                    const int n_lora_decay = hparams.n_lora_decay;
-                    const int n_lora_iclr = hparams.n_lora_iclr;
-                    const int n_lora_value_res_mix = hparams.n_lora_value_res_mix;
-                    const int n_lora_gate = hparams.n_lora_gate;
-                    const int attn_hidden_size = n_embd;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0);
-                        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0);
-                        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0);
-
-                        layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0);
-                        layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0);
-                        layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0);
-
-                        if (i == 0) {
-                            // actually not used
-                            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
-                            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0);
-                            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0);
-                        } else {
-                            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
-                            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0);
-                            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0);
-                        }
-
-                        layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, TENSOR_NOT_REQUIRED);
-
-                        try {
-                            layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0);
-                        } catch(std::runtime_error & e) {
-                            // ARWKV models may not have gate tensors
-                            layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0);
-                        }
-
-                        layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0);
-                        layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0);
-                        layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0);
-
-                        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
-                        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
-
-                        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-
-                } break;
-            case LLM_ARCH_CHAMELEON:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0);
-                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i),  {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i),  {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_WAVTOKENIZER_DEC:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hparams.n_embd, n_vocab}, 0);
-
-                    conv1d   = create_tensor(tn(LLM_TENSOR_CONV1D, "weight", 0), {7, hparams.n_embd, hparams.posnet.n_embd}, 0);
-                    conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias",   0), {1, hparams.posnet.n_embd}, 0);
-
-                    // posnet
-                    {
-                        const int64_t n_embd = hparams.posnet.n_embd;
-
-                        for (uint32_t i = 0; i < hparams.posnet.n_layer; ++i) {
-                            auto & layer = layers[i].posnet;
-
-                            // posnet:
-                            //
-                            //  - resnet
-                            //  - resnet
-                            //  - attn
-                            //  - resnet
-                            //  - resnet
-                            //  - norm
-                            //
-                            switch (i) {
-                                case 0:
-                                case 1:
-                                case 3:
-                                case 4:
-                                    {
-                                        layer.norm1   = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "weight", i), {1, n_embd}, 0);
-                                        layer.norm1_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "bias",   i), {1, n_embd}, 0);
-
-                                        layer.conv1   = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "weight", i), {3, n_embd, n_embd}, 0);
-                                        layer.conv1_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "bias",   i), {1, n_embd}, 0);
-
-                                        layer.norm2   = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "weight", i), {1, n_embd}, 0);
-                                        layer.norm2_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "bias",   i), {1, n_embd}, 0);
-
-                                        layer.conv2   = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "weight", i), {3, n_embd, n_embd}, 0);
-                                        layer.conv2_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "bias",   i), {1, n_embd}, 0);
-                                    } break;
-                                case 2:
-                                    {
-                                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0);
-                                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias",   i), {1, n_embd}, 0);
-
-                                        layer.attn_q      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q,    "weight", i), {1, n_embd, n_embd}, 0);
-                                        layer.attn_q_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q,    "bias",   i), {1, n_embd}, 0);
-
-                                        layer.attn_k      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K,    "weight", i), {1, n_embd, n_embd}, 0);
-                                        layer.attn_k_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K,    "bias",   i), {1, n_embd}, 0);
-
-                                        layer.attn_v      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V,    "weight", i), {1, n_embd, n_embd}, 0);
-                                        layer.attn_v_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V,    "bias",   i), {1, n_embd}, 0);
-
-                                        layer.attn_o      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT,  "weight", i), {1, n_embd, n_embd}, 0);
-                                        layer.attn_o_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT,  "bias",   i), {1, n_embd}, 0);
-                                    } break;
-                                case 5:
-                                    {
-                                        layer.norm   = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0);
-                                        layer.norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias",   i), {1, n_embd}, 0);
-                                    } break;
-                                default: GGML_ABORT("unknown posnet layer");
-                            };
-                        }
-                    }
-
-                    GGML_ASSERT(hparams.posnet.n_embd == hparams.convnext.n_embd);
-
-                    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {hparams.posnet.n_embd}, 0);
-                    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {hparams.posnet.n_embd}, 0);
-
-                    // convnext
-                    {
-                        const int64_t n_embd = hparams.convnext.n_embd;
-
-                        for (uint32_t i = 0; i < hparams.convnext.n_layer; ++i) {
-                            auto & layer = layers[i].convnext;
-
-                            layer.dw     = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW,    "weight", i), {7, 1, n_embd}, 0);
-                            layer.dw_b   = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW,    "bias",   i), {1, n_embd}, 0);
-
-                            layer.norm   = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM,  "weight", i), {n_embd}, 0);
-                            layer.norm_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM,  "bias",   i), {n_embd}, 0);
-
-                            layer.pw1    = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1,   "weight", i), {n_embd, n_ff}, 0);
-                            layer.pw1_b  = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1,   "bias",   i), {n_ff}, 0);
-
-                            layer.pw2    = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2,   "weight", i), {n_ff, n_embd}, 0);
-                            layer.pw2_b  = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2,   "bias",   i), {n_embd}, 0);
-
-                            layer.gamma  = create_tensor(tn(LLM_TENSOR_CONVNEXT_GAMMA, "weight", i), {n_embd}, 0);
-                        }
-
-                        // output
-                        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
-                    }
-
-                    output   = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hparams.convnext.n_embd, hparams.n_embd_out()}, 0);
-                    output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"),   {hparams.n_embd_out()}, 0);
-                } break;
-            case LLM_ARCH_BAILINGMOE:
-                {
-                    const int64_t n_ff_exp            = hparams.n_ff_exp;
-                    const int64_t n_expert_shared     = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_head * n_rot}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        if (n_expert == 0) {
-                            throw std::runtime_error("n_expert must be > 0");
-                        }
-                        if (n_expert_used == 0) {
-                            throw std::runtime_error("n_expert_used must be > 0");
-                        }
-
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
-                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                    }
-                } break;
-            case LLM_ARCH_BAILINGMOE2:
-                {
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for bailingmoe2");
-                    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for bailingmoe2");
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        int flags = 0;
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            // skip all tensors in the NextN layers
-                            flags |= TENSOR_SKIP;
-                        }
-
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
-
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
-
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
-
-                        if (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) { // MoE layers
-                            const int64_t n_ff_shexp = (hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff_exp) * n_expert_shared;
-
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags);
-
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, flags);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
-
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, flags);
-                        } else { // Dense layers
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, flags);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, flags);
-                        }
-
-                        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
-                        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
-                            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
-                            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags);
-                            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
-                            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
-                            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags);
-                            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, TENSOR_NOT_REQUIRED | flags);
-                            layer.layer_out_norm         = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, flags);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_DOTS1:
-                {
-                    const int64_t n_ff_exp        = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        } else {
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-
-                            if (n_expert == 0) {
-                                throw std::runtime_error("n_expert must be > 0");
-                            }
-                            if (n_expert_used == 0) {
-                                throw std::runtime_error("n_expert_used must be > 0");
-                            }
-
-                            // MoE branch
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                            // Shared expert branch
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_ARCEE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_AFMOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    const int64_t n_ff_exp = hparams.n_ff_exp;
-                    const int64_t n_expert_shared = hparams.n_expert_shared;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        // dual attention normalization
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), {n_embd}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        // attention projections
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        // Q/K normalization
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        // attention gating
-                        layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-
-                        // dual ffn normalization
-                        layer.ffn_norm      = create_tensor(tn(LLM_TENSOR_FFN_NORM,      "weight", i), {n_embd}, 0);
-                        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        if (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) {
-                            // MoE layers
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
-
-                            // grouped expert weights
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
-
-                            // shared expert
-                            if (n_expert_shared > 0) {
-                                const int64_t n_ff_shexp = n_ff_exp * n_expert_shared;
-                                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0);
-                                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
-                                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
-                            }
-                        } else {
-                            // Dense layers
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_ERNIE4_5:
-            case LLM_ARCH_ERNIE4_5_MOE:
-            case LLM_ARCH_PADDLEOCR:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd},     TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (arch == LLM_ARCH_ERNIE4_5_MOE && static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) { // MoE layers
-                            int n_ff_exp = hparams.n_ff_exp;
-
-                            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff_exp, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
-
-                            // Shared expert (if present)
-                            if (hparams.n_ff_shexp > 0) {
-                                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, hparams.n_ff_shexp}, 0);
-                                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd    }, 0);
-                                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, hparams.n_ff_shexp}, 0);
-                            }
-                        } else { // Dense layers
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_FALCON_H1:
-                {
-                    // Common
-                    const int64_t hidden_size = hparams.n_embd; // hidden_size
-
-                    // mamba2 Mixer SSM params
-                    const int64_t ssm_conv_kernel_size  = hparams.ssm_d_conv; // ssm_conv_kernel_size
-                    const int64_t ssm_n_groups          = hparams.ssm_n_group; // ssm_n_groups
-                    const int64_t ssm_state_size        = hparams.ssm_d_state; // ssm_state_size
-                    const int64_t ssm_intermediate_size = hparams.ssm_d_inner; // TODO expand
-                    const int64_t ssm_num_heads         = hparams.ssm_dt_rank; // ssm_num_heads
-                    const int64_t ssm_conv_dim          = ssm_intermediate_size + 2 * ssm_n_groups * ssm_state_size;
-                    const int64_t ssm_projection_size   = ssm_intermediate_size + ssm_conv_dim + ssm_num_heads;
-
-                    // attn params
-                    const int64_t attn_num_attention_head = hparams.n_head(0); // rename to: attn_num_attention_head
-                    const int64_t attn_num_key_value_head = hparams.n_head_kv(0);
-
-                    // ffn params
-                    const int64_t ffn_intermediate_size = hparams.n_ff(0);
-
-                    // embeddings
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, 0);
-
-                    // output
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hidden_size, n_vocab}, TENSOR_NOT_REQUIRED);
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {hidden_size}, 0);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        /*SSM LAYERS*/
-                        // ssm in
-                        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {hidden_size, ssm_projection_size}, 0);
-                        // ssm 1d conv
-                        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {ssm_conv_kernel_size, ssm_conv_dim}, 0);
-                        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {ssm_conv_dim}, TENSOR_NOT_REQUIRED);
-                        // ssm_dt
-                        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {ssm_num_heads}, 0);
-                        // no "weight" suffix for these
-                        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, ssm_num_heads}, 0);
-                        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, ssm_num_heads}, 0);
-                        // ssm_norm
-                        layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {ssm_intermediate_size / ssm_n_groups, ssm_n_groups}, TENSOR_NOT_REQUIRED);
-                        // out_proj
-                        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {ssm_intermediate_size, hidden_size}, 0);
-
-                        /*ATTENTION LAYERS*/
-                        // attention layers (with optional bias)
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {hidden_size, n_embd_head_k * attn_num_attention_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {hidden_size, attn_num_key_value_head * n_embd_head_k}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {hidden_size, attn_num_key_value_head * n_embd_head_v}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * attn_num_attention_head, hidden_size}, 0);
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {attn_num_key_value_head * n_embd_head_k}, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {attn_num_key_value_head * n_embd_head_v}, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {hidden_size}, 0);
-
-
-                        // feed forward (w/ optional biases)
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, i), {hidden_size}, 0);
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {hidden_size,   ffn_intermediate_size}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  ffn_intermediate_size, hidden_size}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {hidden_size,   ffn_intermediate_size}, 0);
-
-                        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_HUNYUAN_MOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
-
-                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0);
-                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
-                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
-                    }
-                } break;
-            case LLM_ARCH_HUNYUAN_DENSE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                    }
-                } break;
-            case LLM_ARCH_SMOLLM3:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_OPENAI_MOE:
-                {
-                    const int64_t n_ff_exp = hparams.n_ff_exp;
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), {n_embd}, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_head * n_rot}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_head_kv * n_rot}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
-
-                        layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, 0);
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {  n_embd, n_expert}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                        // bias
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_head * n_rot}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_head_kv * n_rot}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_head_kv * n_rot}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp_b  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "bias", i), {n_expert}, 0);
-                        layer.ffn_gate_exps_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "bias", i), {n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "bias", i), {  n_embd, n_expert}, 0);
-                        layer.ffn_up_exps_b   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "bias", i), {n_ff_exp, n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_LFM2:
-            case LLM_ARCH_LFM2MOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,           "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        const bool is_moe_layer = i >= static_cast<int>(hparams.n_layer_dense_lead);
-
-                        // ffn/moe is same for transformer and conv layers
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        if (is_moe_layer) {
-                            GGML_ASSERT(n_expert && n_expert_used);
-                            layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i),  {n_embd, n_expert}, 0);
-                            layer.ffn_gate_exps   = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp,   n_embd, n_expert}, 0);
-                            layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i),   {n_embd, hparams.n_ff_exp, n_expert}, 0);
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
-                        } else {  // dense
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                        }
-
-                        // for operator_norm
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (!hparams.is_recurrent(i)) {
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                            GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa);
-
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, hparams.n_embd_k_gqa(i)}, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, hparams.n_embd_v_gqa(i)}, 0);
-
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
-                        } else {
-                            layer.shortconv.conv     = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV,    "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0);
-                            layer.shortconv.in_proj  = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ,  "weight", i), {n_embd, 3 * n_embd}, 0);
-                            layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0);
-                        }
-                    }
-
-                    // for LFM2-ColBert-350M
-                    dense_2_out_layers   = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED);
-                    dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"),   {hparams.n_embd_out()        }, TENSOR_NOT_REQUIRED);
-                } break;
-            case LLM_ARCH_SMALLTHINKER:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
-
-                        GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for SMALLTHINKER");
-                        GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for SMALLTHINKER");
-
-                        // MoE branch
-                        const int64_t n_ff_exp = hparams.n_ff_exp;
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
-                    }
-                } break;
-            case LLM_ARCH_GROVEMOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for GROVEMOE");
-                    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for GROVEMOE");
-                    GGML_ASSERT(hparams.n_group_experts > 0 && "n_group_experts must be > 0 for GROVEMOE");
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-
-                        // MoE branch
-                        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-                        const int64_t n_ff_chexp = hparams.n_ff_chexp ? hparams.n_ff_chexp : n_embd_head_k;
-                        const int64_t n_chunk_expert = n_expert / hparams.n_group_experts;
-
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
-
-                        layer.ffn_gate_chexps = create_tensor(tn(LLM_TENSOR_FFN_GATE_CHEXPS, "weight", i), {  n_embd, n_ff_chexp, n_chunk_expert}, 0);
-                        layer.ffn_down_chexps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_CHEXPS, "weight", i), {n_ff_chexp,   n_embd, n_chunk_expert}, 0);
-                        layer.ffn_up_chexps   = create_tensor(tn(LLM_TENSOR_FFN_UP_CHEXPS,   "weight", i), {  n_embd, n_ff_chexp, n_chunk_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_APERTUS:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), { n_embd, n_vocab }, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
-
-                        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
-                            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        } else {
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                        // optional bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), { n_embd },     TENSOR_NOT_REQUIRED);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), { n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), { n_embd_gqa }, TENSOR_NOT_REQUIRED);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd },     TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
-                        layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
-
-                        // Q and K layernorms for Apertus
-                        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
-                        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), { n_embd_head_k }, TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
-                        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), { n_embd_head_k }, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_MINIMAX_M2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_gqa }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k * n_head}, 0);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_k_gqa}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
-                        layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
-                    }
-                } break;
-            case LLM_ARCH_KIMI_LINEAR:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        // Check for KDA specific tensors to determine layer type or if it's a mixed model
-                        // Assuming KDA layer if KDA tensors are present
-
-                        // KDA uses head_dim = 128 (from linear_attn_config.head_dim)
-                        const int64_t n_embd_head_k_kda = hparams.n_embd_head_kda;
-                        const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda;
-                        const int64_t ssm_d_conv = hparams.ssm_d_conv;
-
-                        if (hparams.is_recurrent(i)) {
-                            // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1)
-                            // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner]
-                            layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
-                            if (!layer.ssm_q_conv) {
-                                layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0);
-                            }
-
-                             // KDA Layer - Conv1d weights may be 3D or 4D
-                             layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
-                             if (!layer.ssm_k_conv) {
-                                 layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0);
-                             }
-                             layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
-                             if (!layer.ssm_v_conv) {
-                                 layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head}, 0);
-                             }
-
-                             // q, k, v projections
-                             // Python: q_proj, k_proj, v_proj
-                             layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k_kda * n_head}, 0);
-                             layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_head_k_kda * n_head}, 0);
-                             layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_head_v_kda * n_head}, 0);
-
-                             // KDA specific projections
-                             // f_a_proj, f_b_proj
-                             layer.ssm_f_a = create_tensor(tn(LLM_TENSOR_SSM_F_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); // head_dim
-                             layer.ssm_f_b = create_tensor(tn(LLM_TENSOR_SSM_F_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); // projection_size
-
-                             // b_proj (beta mixing coefficient)
-                             layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0);
-
-                             // A_log - Shape in GGUF: [1, num_heads, 1, 1] (4D) or [1, num_heads] (2D after quantization) Note: -exp(A_log) is applied in convert_hf_to_gguf.py
-                             layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED);
-                             if (!layer.ssm_a) {
-                                 layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0);
-                             }
-
-                             // dt_bias - shape [n_embd_head_k_kda * n_head] = [4096]
-                             layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_embd_head_k_kda * n_head}, 0);
-
-                             // g_a_proj, g_b_proj (output gate)
-                             layer.ssm_g_a = create_tensor(tn(LLM_TENSOR_SSM_G_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0);
-                             layer.ssm_g_b = create_tensor(tn(LLM_TENSOR_SSM_G_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0);
-
-                             // o_norm (reusing SSM_NORM)
-                             layer.ssm_o_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {n_embd_head_k_kda}, 0); // FusedRMSNormGated
-
-                             // o_proj
-                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v_kda * n_head, n_embd}, 0);
-
-                        } else {
-                             // MLA Layer - use MLA-specific head dimensions
-                             const int64_t q_lora_rank  = hparams.n_lora_q;
-                             const int64_t kv_lora_rank = hparams.n_lora_kv;
-                             const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
-                             const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
-
-                             layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, TENSOR_NOT_REQUIRED);
-                             layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
-
-                             if (layer.attn_q_a_norm) {
-                                 layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
-                                 layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0);
-                             } else {
-                                 // Kimi MLA without Q compression: wq = [n_embd, n_head * n_embd_head_k_mla]
-                                 layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0);
-                             }
-
-                             // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA)
-                             // Note: hparams.n_rot may be 72 (from conversion) but actual is 64
-                             const int64_t qk_rope_head_dim = hparams.n_rot();  // From config: qk_rope_head_dim
-                             layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0);
-                             // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled)
-                             layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i),
-                                {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
-                             if (!layer.wkv_b) { // MLA KV cache enabled
-                                 layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0);
-                                 layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0);
-                             }
-                             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0);
-                        }
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        // MoE intermediate size (different from dense FFN)
-                        const int64_t n_ff_exp = hparams.n_ff_exp;
-
-                        // Kimi uses n_layer_dense_lead to determine which layers use dense FFN vs MoE
-                        // first_k_dense_replace = 1 means layer 0 uses dense FFN, layers 1+ use MoE
-                        if (i < (int) hparams.n_layer_dense_lead) {
-                            // Dense FFN layer - use normal n_ff
-                            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
-                            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
-                            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
-                        } else {
-                            // MoE layer - use n_ff_exp (1024) instead of n_ff (9216)
-                            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
-                            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
-                            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
-                            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
-
-                            // Shared experts use moe_intermediate_size * num_shared_experts
-                            // Kimi: shared_expert_intermediate_size = 1024 * 1 = 1024
-                            // Tensors are 2D: [n_embd, n_ff_shexp] or [n_ff_shexp, n_embd]
-                            const int64_t n_ff_shexp_actual = n_ff_exp * (hparams.n_expert_shared > 0 ? hparams.n_expert_shared : 1);
-                            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp_actual, n_embd}, TENSOR_NOT_REQUIRED);
-                            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED);
-
-                            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
-                        }
-                    }
-                } break;
-            case LLM_ARCH_COGVLM:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.visexp_attn_wqkv = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0);
-                        layer.visexp_attn_wo = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-
-                        layer.visexp_ffn_gate = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.visexp_ffn_down = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.visexp_ffn_up   = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_PANGU_EMBED:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        // weight tensors
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        // bias tensors
-                        layer.bq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "bias", i), {n_embd_head_k * n_head}, 0);
-                        layer.bk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "bias", i), {n_embd_gqa}, 0);
-                        layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
-                            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        } else {
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN3NEXT:
-                {
-                    if (n_expert == 0) {
-                        throw std::runtime_error(arch_name() + " model cannot have zero experts");
-                    }
-
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
-                    }
-
-                    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                    // Calculate dimensions from hyperparameters
-                    const int64_t head_k_dim = hparams.ssm_d_state;
-                    const int64_t head_v_dim = hparams.ssm_d_state;
-                    const int64_t n_k_heads  = hparams.ssm_n_group;
-                    const int64_t n_v_heads  = hparams.ssm_dt_rank;
-                    const int64_t key_dim    = head_k_dim * n_k_heads;
-                    const int64_t value_dim  = head_v_dim * n_v_heads;
-                    const int64_t conv_dim   = key_dim * 2 + value_dim;
-
-                    // Calculate projection sizes
-                    const int64_t qkvz_dim = key_dim * 2 + value_dim * 2;
-                    const int64_t ba_dim   = n_v_heads * 2;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
-
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
-
-                        if (!hparams.is_recurrent(i)) {
-                            // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                            // Q/K normalization for attention layers
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
-                        } else {
-                            // Linear attention (gated delta net) specific tensors
-                            // Create tensors with calculated dimensions
-                            // note: ssm_in is used by legacy GGUF
-                            layer.ssm_in         = create_tensor(tn(LLM_TENSOR_SSM_IN,         "weight", i), { n_embd, qkvz_dim }, TENSOR_NOT_REQUIRED);
-                            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
-                            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_beta_alpha = create_tensor(tn(LLM_TENSOR_SSM_BETA_ALPHA, "weight", i), { n_embd, ba_dim }, 0);
-                            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
-                            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
-                        }
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
-                        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
-
-                        // Shared experts
-                        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0);
-                        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, n_ff_shexp }, 0);
-                        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, n_ff_shexp }, 0);
-                        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { n_ff_shexp, n_embd }, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN35MOE:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
-                    }
-
-                    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
-
-                    // Calculate dimensions from hyperparameters
-                    const int64_t head_k_dim = hparams.ssm_d_state;
-                    const int64_t head_v_dim = hparams.ssm_d_state;
-                    const int64_t n_k_heads  = hparams.ssm_n_group;
-                    const int64_t n_v_heads  = hparams.ssm_dt_rank;
-                    const int64_t key_dim    = head_k_dim * n_k_heads;
-                    const int64_t value_dim  = head_v_dim * n_v_heads;
-                    const int64_t conv_dim   = key_dim * 2 + value_dim;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
-
-                        if (!hparams.is_recurrent(i)) {
-                            // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                            // Q/K normalization for attention layers
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
-                        } else {
-                            // Linear attention (gated delta net) specific tensors
-                            // Create tensors with calculated dimensions
-                            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
-                            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_beta       = create_tensor(tn(LLM_TENSOR_SSM_BETA,       "weight", i), { n_embd, n_v_heads }, 0);
-                            layer.ssm_alpha      = create_tensor(tn(LLM_TENSOR_SSM_ALPHA,      "weight", i), { n_embd, n_v_heads }, 0);
-                            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
-                            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
-                        }
-
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
-                        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
-
-                        // Shared experts
-                        const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
-
-                        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0);
-                        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, n_ff_shexp }, 0);
-                        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, n_ff_shexp }, 0);
-                        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { n_ff_shexp, n_embd }, 0);
-                    }
-                } break;
-            case LLM_ARCH_QWEN35:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
-                    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
-
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
-                    }
-
-                    // Calculate dimensions from hyperparameters
-                    const int64_t head_k_dim = hparams.ssm_d_state;
-                    const int64_t head_v_dim = hparams.ssm_d_state;
-                    const int64_t n_k_heads  = hparams.ssm_n_group;
-                    const int64_t n_v_heads  = hparams.ssm_dt_rank;
-                    const int64_t key_dim    = head_k_dim * n_k_heads;
-                    const int64_t value_dim  = head_v_dim * n_v_heads;
-                    const int64_t conv_dim   = key_dim * 2 + value_dim;
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
-                        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
-
-                        if (!hparams.is_recurrent(i)) {
-                            // Attention layers
-                            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), { n_embd, n_embd_head_k * n_head * 2 }, 0);
-                            layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                            layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), { n_embd, n_embd_v_gqa }, 0);
-                            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
-
-                            // Q/K normalization for attention layers
-                            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
-                            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
-                        } else {
-                            // Linear attention (gated delta net) specific tensors
-                            // Create tensors with calculated dimensions
-                            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
-                            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
-                            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
-                            layer.ssm_beta       = create_tensor(tn(LLM_TENSOR_SSM_BETA,       "weight", i), { n_embd, n_v_heads }, 0);
-                            layer.ssm_alpha      = create_tensor(tn(LLM_TENSOR_SSM_ALPHA,      "weight", i), { n_embd, n_v_heads }, 0);
-                            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
-                            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
-                        }
-
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            case LLM_ARCH_MIMO2:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-                        uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i);
-                        uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i);
-                        uint32_t n_head = hparams.n_head(i);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_v * n_head, n_embd }, 0);
-
-                        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_ATTN_NORM,  "weight", i), {n_embd}, 0);
-                        layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        // non-MoE branch
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-
-                        // MoE branch
-                        int64_t n_ff_exp = hparams.n_ff_exp;
-                        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_STEP35:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
-
-                    // STEP35 supports per-layer partial RoPE dims; rope factors are stored as a single shared tensor
-                    // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer.
-                    uint32_t n_rot_max = 0;
-                    for (int i = 0; i < n_layer; ++i) {
-                        n_rot_max = std::max(n_rot_max, hparams.n_rot(i));
-                    }
-                    if (n_rot_max == 0) {
-                        n_rot_max = n_rot;
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        const uint32_t n_head_l      = hparams.n_head(i);
-                        const uint32_t n_embd_k_gqa  = hparams.n_embd_k_gqa(i);
-                        const uint32_t n_embd_v_gqa  = hparams.n_embd_v_gqa(i);
-
-                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED);
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED);
-
-                        // optional rope factors (llama3) / longrope tensors
-                        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
-                            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        } else {
-                            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
-                        }
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head_l}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v * n_head_l, n_embd}, 0);
-
-                        // head-wise attention gate (Step35 self_attn.g_proj)
-                        layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_head_l}, TENSOR_NOT_REQUIRED);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-
-                        // dense MLP (leading dense blocks)
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
-
-                        // MoE routed experts + selection bias (router_bias)
-                        const int64_t n_ff_exp = hparams.n_ff_exp;
-                        layer.ffn_gate_inp      = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_gate_exps     = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_exps     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_exps       = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_exp_probs_b   = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
-
-                        // shared expert MLP
-                        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED);
-                        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, TENSOR_NOT_REQUIRED);
-                    }
-                } break;
-            case LLM_ARCH_MAINCODER:
-                {
-                    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
-
-                    // output
-                    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
-                    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
-                    // if output is NULL, init from the input tok embed
-                    if (output == NULL) {
-                        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
-                    }
-
-                    for (int i = 0; i < n_layer; ++i) {
-                        auto & layer = layers[i];
-
-                        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
-
-                        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
-                        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
-                        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
-
-                        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
-                        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
-
-                        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
-                        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
-                        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
-                        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
-                    }
-                } break;
-            default:
-                throw std::runtime_error("unknown architecture");
-        }
-
-        // generic pass: load optional per-tensor/per-expert ".scale" tensors (e.g. NVFP4 scale2)
-        // this avoids having to add scale loading to every architecture
-        for (int i = 0; i < n_layer; ++i) {
-            auto & layer = layers[i];
-
-            // attention weight scales (per-tensor, shape {1})
-            if (!layer.wq_s && layer.wq) {
-                layer.wq_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wk_s && layer.wk) {
-                layer.wk_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wv_s && layer.wv) {
-                layer.wv_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wo_s && layer.wo) {
-                layer.wo_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wqkv_s && layer.wqkv) {
-                layer.wqkv_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wqkv_gate_s && layer.wqkv_gate) {
-                layer.wqkv_gate_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-
-            // dense FFN weight scales (per-tensor, shape {1})
-            if (!layer.ffn_gate_s && layer.ffn_gate) {
-                layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_s && layer.ffn_down) {
-                layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_s && layer.ffn_up) {
-                layer.ffn_up_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_gate_shexp_s && layer.ffn_gate_shexp) {
-                layer.ffn_gate_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_shexp_s && layer.ffn_down_shexp) {
-                layer.ffn_down_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_shexp_s && layer.ffn_up_shexp) {
-                layer.ffn_up_shexp_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-
-            // MoE expert weight scales (per-expert, shape {n_expert})
-            if (!layer.ffn_gate_exps_s && layer.ffn_gate_exps) {
-                layer.ffn_gate_exps_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_exps_s && layer.ffn_down_exps) {
-                layer.ffn_down_exps_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_exps_s && layer.ffn_up_exps) {
-                layer.ffn_up_exps_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-
-            // recurrent / linear-attention weight scales (per-tensor, shape {1})
-            if (!layer.ssm_in_s && layer.ssm_in) {
-                layer.ssm_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_out_s && layer.ssm_out) {
-                layer.ssm_out_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_alpha_s && layer.ssm_alpha) {
-                layer.ssm_alpha_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_beta_s && layer.ssm_beta) {
-                layer.ssm_beta_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-
-            // input scales
-            if (!layer.wq_in_s && layer.wq) {
-                layer.wq_in_s = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wk_in_s && layer.wk) {
-                layer.wk_in_s = create_tensor(tn(LLM_TENSOR_ATTN_K,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wv_in_s && layer.wv) {
-                layer.wv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_V,   "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wo_in_s && layer.wo) {
-                layer.wo_in_s = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wqkv_in_s && layer.wqkv) {
-                layer.wqkv_in_s = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.wqkv_gate_in_s && layer.wqkv_gate) {
-                layer.wqkv_gate_in_s = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_gate_in_s && layer.ffn_gate) {
-                layer.ffn_gate_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_in_s && layer.ffn_down) {
-                layer.ffn_down_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_in_s && layer.ffn_up) {
-                layer.ffn_up_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_gate_exps_in_s && layer.ffn_gate_exps) {
-                layer.ffn_gate_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_exps_in_s && layer.ffn_down_exps) {
-                layer.ffn_down_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_exps_in_s && layer.ffn_up_exps) {
-                layer.ffn_up_exps_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "input_scale", i), {n_expert}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_gate_shexp_in_s && layer.ffn_gate_shexp) {
-                layer.ffn_gate_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_down_shexp_in_s && layer.ffn_down_shexp) {
-                layer.ffn_down_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ffn_up_shexp_in_s && layer.ffn_up_shexp) {
-                layer.ffn_up_shexp_in_s = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_in_in_s && layer.ssm_in) {
-                layer.ssm_in_in_s = create_tensor(tn(LLM_TENSOR_SSM_IN, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_out_in_s && layer.ssm_out) {
-                layer.ssm_out_in_s = create_tensor(tn(LLM_TENSOR_SSM_OUT, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_alpha_in_s && layer.ssm_alpha) {
-                layer.ssm_alpha_in_s = create_tensor(tn(LLM_TENSOR_SSM_ALPHA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-            if (!layer.ssm_beta_in_s && layer.ssm_beta) {
-                layer.ssm_beta_in_s = create_tensor(tn(LLM_TENSOR_SSM_BETA, "input_scale", i), {1}, TENSOR_NOT_REQUIRED);
-            }
-        }
-    }
-
-    ml.done_getting_tensors();
-
-    ml.init_mappings(true, use_mlock ? &pimpl->mlock_mmaps : nullptr);
-    pimpl->mappings.reserve(ml.mappings.size());
-
-    // create the backend buffers
-    std::vector<std::pair<ggml_context *, llama_buf_map>> ctx_buf_maps;
-    ctx_buf_maps.reserve(ml.ctx_map.size());
-
-    // Ensure we have enough capacity for the maximum backend buffer we will potentially create
-    const size_t n_max_backend_buffer = ml.ctx_map.size() * ml.files.size();
-    pimpl->ctxs_bufs.reserve(n_max_backend_buffer);
-
-    for (auto & [buft, ctx_ptr] : ml.ctx_map) {
-        ggml_context * ctx = ctx_ptr.get();
-
-        // skip contexts without tensors
-        if (ggml_get_first_tensor(ctx) == nullptr) {
-            continue;
-        }
-
-        llama_buf_map buf_map;
-        buf_map.reserve(n_max_backend_buffer);
-
-        // check if it is possible to use buffer_from_host_ptr with this buffer type
-        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
-        if (!dev) {
-            // FIXME: workaround for CPU backend buft having a NULL device
-            dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
-            if (!dev) {
-                throw std::runtime_error(format("%s: no CPU backend found", __func__));
-            }
-        }
-        ggml_backend_dev_props props;
-        ggml_backend_dev_get_props(dev, &props);
-        bool buffer_from_host_ptr_supported = props.caps.buffer_from_host_ptr;
-        bool is_default_buft = buft == ggml_backend_dev_buffer_type(dev);
-
-        std::vector<ggml_backend_buffer_ptr> bufs;
-        if (ml.use_mmap && use_mmap_buffer && buffer_from_host_ptr_supported && is_default_buft) {
-            GGML_ASSERT(!ml.no_alloc);
-            for (uint32_t idx = 0; idx < ml.files.size(); idx++) {
-                // only the mmap region containing the tensors in the model is mapped to the backend buffer
-                // this is important for metal with apple silicon: if the entire model could be mapped to a metal buffer,
-                //     then we could just use metal for all layers
-                // this allows using partial offloading when the model size exceeds the metal buffer size, but not the RAM size
-                void * addr = nullptr;
-                size_t first, last; // NOLINT
-                ml.get_mapping_range(&first, &last, &addr, idx, ctx);
-                if (first >= last) {
-                    continue;
-                }
-                const size_t max_size = ggml_get_max_tensor_size(ctx);
-                ggml_backend_buffer_t buf = ggml_backend_dev_buffer_from_host_ptr(dev, (char *) addr + first, last - first, max_size);
-                if (buf == nullptr) {
-                    throw std::runtime_error(format("unable to allocate %s buffer", ggml_backend_buft_name(buft)));
-                }
-                bufs.emplace_back(buf);
-                buf_map.emplace(idx, buf);
-            }
-        } else {
-            ggml_backend_buffer_t buf;
-            if (ml.no_alloc) {
-                buf = ggml_backend_buft_alloc_buffer(buft, /*size =*/ 0); // dummy buffer
-                for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != nullptr; t = ggml_get_next_tensor(ctx, t)) {
-                    t->buffer = buf; // set dummy buffer for weights so that the backend scheduler won't try to allocate them
-                }
-            } else {
-                buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, buft); // real buffer
-            }
-            if (buf == nullptr) {
-                throw std::runtime_error(format("unable to allocate %s buffer", ggml_backend_buft_name(buft)));
-            }
-            if (use_mlock && ggml_backend_buffer_is_host(buf)) {
-                pimpl->mlock_bufs.emplace_back(new llama_mlock);
-                auto & mlock_buf = pimpl->mlock_bufs.back();
-                mlock_buf->init   (ggml_backend_buffer_get_base(buf));
-                mlock_buf->grow_to(ggml_backend_buffer_get_size(buf));
-            }
-            bufs.emplace_back(buf);
-            for (uint32_t idx = 0; idx < ml.files.size(); idx++) {
-                buf_map.emplace(idx, buf);
-            }
-        }
-
-        for (auto & buf : bufs) {
-            // indicate that this buffer contains weights
-            // this is used by ggml_backend_sched to improve op scheduling: ops that use a weight are preferably scheduled to the backend that contains the weight
-            ggml_backend_buffer_set_usage(buf.get(), GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
-        }
-
-        pimpl->ctxs_bufs.emplace_back(std::move(ctx_ptr), std::move(bufs));
-
-        ctx_buf_maps.emplace_back(ctx, buf_map);
-    }
-
-    if (llama_supports_gpu_offload()) {
-        const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer));
-
-        int n_repeating = n_gpu;
-        if (n_repeating > 0) {
-            LLAMA_LOG_INFO("%s: offloading output layer to GPU\n", __func__);
-            n_repeating--;
-        }
-        LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_repeating);
-
-        const int max_backend_supported_layers = hparams.n_layer + 1;
-        const int max_offloadable_layers       = hparams.n_layer + 1;
-
-        LLAMA_LOG_INFO("%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers);
-    }
-
-    // print memory requirements per buffer type
-    for (auto & [_, bufs] : pimpl->ctxs_bufs) {
-        for (auto & buf: bufs) {
-            LLAMA_LOG_INFO("%s: %12s model buffer size = %8.2f MiB\n",
-                __func__, ggml_backend_buffer_name(buf.get()), ggml_backend_buffer_get_size(buf.get()) / 1024.0 / 1024.0);
-        }
-    }
-
-    // populate tensors_by_name
-    for (auto & [ctx, _] : pimpl->ctxs_bufs) {
-        for (auto * cur = ggml_get_first_tensor(ctx.get()); cur != NULL; cur = ggml_get_next_tensor(ctx.get(), cur)) {
-            tensors_by_name.emplace_back(ggml_get_name(cur), cur);
-        }
-    }
-
-    if (ml.no_alloc) {
-        return true;
-    }
-
-    // load tensor data
-    for (auto & [ctx, buf_map] : ctx_buf_maps) {
-        if (!ml.load_all_data(ctx, buf_map, use_mlock ? &pimpl->mlock_mmaps : NULL, params.progress_callback, params.progress_callback_user_data)) {
-            return false;
-        }
-    }
-
-    if (use_mmap_buffer) {
-        for (auto & mapping : ml.mappings) {
-            pimpl->mappings.emplace_back(std::move(mapping));
-        }
-    }
-
-    return true;
-}
-
-std::string llama_model::arch_name() const {
-    return llm_arch_name(arch);
-}
-
-std::string llama_model::type_name() const {
-    return llm_type_name(type);
-}
-
-std::string llama_model::desc() const {
-    return pimpl->desc_str;
-}
-
-size_t llama_model::size() const {
-    return pimpl->n_bytes;
-}
-
-size_t llama_model::n_tensors() const {
-    return tensors_by_name.size();
-}
-
-size_t llama_model::n_devices() const {
-    return devices.size();
-}
-
-uint32_t llama_model::n_gpu_layers() const {
-    return params.n_gpu_layers >= 0 ? params.n_gpu_layers : hparams.n_layer + 1;
-}
-
-llama_split_mode llama_model::split_mode() const {
-    return params.split_mode;
-}
-
-std::map<ggml_backend_buffer_type_t, size_t> llama_model::memory_breakdown() const {
-    std::map<ggml_backend_buffer_type_t, size_t> ret;
-    for (const auto & [ctx, bufs] : pimpl->ctxs_bufs) {
-        if (hparams.no_alloc) {
-            GGML_ASSERT(bufs.size() == 1);
-            ggml_backend_buffer_t buf = bufs[0].get();
-            GGML_ASSERT(ggml_backend_buffer_get_base(buf) == nullptr);
-            ggml_backend_buffer_type_t buft = ggml_backend_buffer_get_type(buf);
-            ret[buft] += ggml_backend_alloc_ctx_tensors_from_buft_size(ctx.get(), buft);
-        } else {
-            for (const auto & buf : bufs) {
-                // GGML_ASSERT(ggml_backend_buffer_get_base(buf.get()) != nullptr); // multi_buffer does not have a defined base
-                ret[ggml_backend_buffer_get_type(buf.get())] += ggml_backend_buffer_get_size(buf.get());
-            }
-        }
-    }
-    return ret;
-}
-
-uint64_t llama_model::n_elements() const {
-    return pimpl->n_elements;
-}
-
-void llama_model::print_info() const {
-    const std::string rope_scaling_type = llama_rope_scaling_type_name(hparams.rope_scaling_type_train);
-
-    auto print_f = [](const std::function<uint32_t(uint32_t)> & f, uint32_t n) {
-        bool is_var = false;
-
-        std::vector<uint32_t> v;
-        for (uint32_t i = 0; i < n; ++i) {
-            v.push_back(f(i));
-            if (v[i] != v[0]) {
-                is_var = true;
-            }
-        }
-
-        std::stringstream ss;
-
-        if (is_var) {
-            ss << "[";
-            for (uint32_t i = 0; i < n; ++i) {
-                ss << v[i];
-                if (i < n - 1) {
-                    ss << ", ";
-                }
-            }
-            ss << "]";
-        } else {
-            ss << v[0];
-        }
-
-        return ss.str();
-    };
-
-    // hparams
-    LLAMA_LOG_INFO("%s: arch                  = %s\n",     __func__, arch_name().c_str());
-    LLAMA_LOG_INFO("%s: vocab_only            = %d\n",     __func__, hparams.vocab_only);
-    LLAMA_LOG_INFO("%s: no_alloc              = %d\n",     __func__, hparams.no_alloc);
-
-    if (!hparams.vocab_only) {
-        LLAMA_LOG_INFO("%s: n_ctx_train           = %u\n",     __func__, hparams.n_ctx_train);
-        LLAMA_LOG_INFO("%s: n_embd                = %u\n",     __func__, hparams.n_embd);
-        LLAMA_LOG_INFO("%s: n_embd_inp            = %u\n",     __func__, hparams.n_embd_inp());
-        LLAMA_LOG_INFO("%s: n_layer               = %u\n",     __func__, hparams.n_layer);
-        LLAMA_LOG_INFO("%s: n_head                = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head(il);    }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_head_kv             = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_head_kv(il); }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_rot                 = %u\n",     __func__, hparams.n_rot_full);
-        LLAMA_LOG_INFO("%s: n_swa                 = %u\n",     __func__, hparams.n_swa);
-        LLAMA_LOG_INFO("%s: is_swa_any            = %u\n",     __func__, hparams.is_swa_any());
-        LLAMA_LOG_INFO("%s: n_embd_head_k         = %u\n",     __func__, hparams.n_embd_head_k_full);
-        LLAMA_LOG_INFO("%s: n_embd_head_v         = %u\n",     __func__, hparams.n_embd_head_v_full);
-        LLAMA_LOG_INFO("%s: n_gqa                 = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_gqa(il);        }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_embd_k_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_k_gqa(il); }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_embd_v_gqa          = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_embd_v_gqa(il); }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: f_norm_eps            = %.1e\n",   __func__, hparams.f_norm_eps);
-        LLAMA_LOG_INFO("%s: f_norm_rms_eps        = %.1e\n",   __func__, hparams.f_norm_rms_eps);
-        LLAMA_LOG_INFO("%s: f_clamp_kqv           = %.1e\n",   __func__, hparams.f_clamp_kqv);
-        LLAMA_LOG_INFO("%s: f_max_alibi_bias      = %.1e\n",   __func__, hparams.f_max_alibi_bias);
-        LLAMA_LOG_INFO("%s: f_logit_scale         = %.1e\n",   __func__, hparams.f_logit_scale);
-        LLAMA_LOG_INFO("%s: f_attn_scale          = %.1e\n",   __func__, hparams.f_attention_scale);
-        LLAMA_LOG_INFO("%s: n_ff                  = %s\n",     __func__, print_f([&](uint32_t il) { return hparams.n_ff(il); }, hparams.n_layer).c_str());
-        LLAMA_LOG_INFO("%s: n_expert              = %u\n",     __func__, hparams.n_expert);
-        LLAMA_LOG_INFO("%s: n_expert_used         = %u\n",     __func__, hparams.n_expert_used);
-        LLAMA_LOG_INFO("%s: n_expert_groups       = %d\n",     __func__, hparams.n_expert_groups);
-        LLAMA_LOG_INFO("%s: n_group_used          = %d\n",     __func__, hparams.n_group_used);
-        LLAMA_LOG_INFO("%s: causal attn           = %d\n",     __func__, hparams.causal_attn);
-        LLAMA_LOG_INFO("%s: pooling type          = %d\n",     __func__, hparams.pooling_type);
-        LLAMA_LOG_INFO("%s: rope type             = %d\n",     __func__, hparams.rope_type);
-        LLAMA_LOG_INFO("%s: rope scaling          = %s\n",     __func__, rope_scaling_type.c_str());
-        LLAMA_LOG_INFO("%s: freq_base_train       = %.1f\n",   __func__, hparams.rope_freq_base_train);
-        LLAMA_LOG_INFO("%s: freq_scale_train      = %g\n",     __func__, hparams.rope_freq_scale_train);
-        if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
-            LLAMA_LOG_INFO("%s: freq_base_swa         = %.1f\n",   __func__, hparams.rope_freq_base_train_swa);
-            LLAMA_LOG_INFO("%s: freq_scale_swa        = %g\n",     __func__, hparams.rope_freq_scale_train_swa);
-            LLAMA_LOG_INFO("%s: n_embd_head_k_swa     = %u\n",     __func__, hparams.n_embd_head_k_swa);
-            LLAMA_LOG_INFO("%s: n_embd_head_v_swa     = %u\n",     __func__, hparams.n_embd_head_v_swa);
-            LLAMA_LOG_INFO("%s: n_rot_swa             = %u\n",     __func__, hparams.n_rot_swa);
-        }
-        LLAMA_LOG_INFO("%s: n_ctx_orig_yarn       = %u\n",     __func__, hparams.n_ctx_orig_yarn);
-        LLAMA_LOG_INFO("%s: rope_yarn_log_mul     = %.4f\n",   __func__, hparams.rope_yarn_log_mul);
-        LLAMA_LOG_INFO("%s: rope_finetuned        = %s\n",     __func__, hparams.rope_finetuned ? "yes" : "unknown");
-        // MRoPE (Multi-axis Rotary Position Embedding) sections
-        if (const auto & s = hparams.rope_sections; s[0] || s[1] || s[2] || s[3]) {
-            LLAMA_LOG_INFO("%s: mrope sections        = [%d, %d, %d, %d]\n", __func__, s[0], s[1], s[2], s[3]);
-        }
-        if (!classifier_labels.empty()) {
-            LLAMA_LOG_INFO("%s: n_cls_out             = %u\n", __func__, hparams.n_cls_out);
-
-            size_t i = 0;
-            for (auto label : classifier_labels) {
-                LLAMA_LOG_INFO("%s: cls_label[%2zu]         = %s\n", __func__, i++, label.c_str());
-            }
-        }
-    }
-
-    if (arch == LLM_ARCH_MAMBA ||
-        arch == LLM_ARCH_MAMBA2 ||
-        arch == LLM_ARCH_JAMBA ||
-        arch == LLM_ARCH_FALCON_H1 ||
-        arch == LLM_ARCH_PLAMO2 ||
-        arch == LLM_ARCH_GRANITE_HYBRID ||
-        arch == LLM_ARCH_QWEN3NEXT ||
-        arch == LLM_ARCH_QWEN35 ||
-        arch == LLM_ARCH_QWEN35MOE ||
-        arch == LLM_ARCH_NEMOTRON_H ||
-        arch == LLM_ARCH_NEMOTRON_H_MOE) {
-        LLAMA_LOG_INFO("%s: ssm_d_conv            = %u\n",     __func__, hparams.ssm_d_conv);
-        LLAMA_LOG_INFO("%s: ssm_d_inner           = %u\n",     __func__, hparams.ssm_d_inner);
-        LLAMA_LOG_INFO("%s: ssm_d_state           = %u\n",     __func__, hparams.ssm_d_state);
-        LLAMA_LOG_INFO("%s: ssm_dt_rank           = %u\n",     __func__, hparams.ssm_dt_rank);
-        LLAMA_LOG_INFO("%s: ssm_n_group           = %u\n",     __func__, hparams.ssm_n_group);
-        LLAMA_LOG_INFO("%s: ssm_dt_b_c_rms        = %d\n",     __func__, hparams.ssm_dt_b_c_rms);
-    }
-
-    LLAMA_LOG_INFO("%s: model type            = %s\n",     __func__, type_name().c_str());
-    if (pimpl->n_elements >= 1e12) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f T\n", __func__, pimpl->n_elements*1e-12);
-    } else if (pimpl->n_elements >= 1e9) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f B\n", __func__, pimpl->n_elements*1e-9);
-    } else if (pimpl->n_elements >= 1e6) {
-        LLAMA_LOG_INFO("%s: model params          = %.2f M\n", __func__, pimpl->n_elements*1e-6);
-    } else {
-        LLAMA_LOG_INFO("%s: model params          = %.2f K\n", __func__, pimpl->n_elements*1e-3);
-    }
-
-    // general kv
-    LLAMA_LOG_INFO("%s: general.name          = %s\n",    __func__, name.c_str());
-
-    if (arch == LLM_ARCH_DEEPSEEK) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-    }
-
-    if (arch == LLM_ARCH_DEEPSEEK2 || arch == LLM_ARCH_DEEPSEEK2OCR || arch == LLM_ARCH_GLM_DSA || arch == LLM_ARCH_MISTRAL4) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_lora_q              = %d\n",     __func__, hparams.n_lora_q);
-        LLAMA_LOG_INFO("%s: n_lora_kv             = %d\n",     __func__, hparams.n_lora_kv);
-        LLAMA_LOG_INFO("%s: n_embd_head_k_mla     = %d\n",     __func__, hparams.n_embd_head_k_mla());
-        LLAMA_LOG_INFO("%s: n_embd_head_v_mla     = %d\n",     __func__, hparams.n_embd_head_v_mla());
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-    }
-
-    if (arch == LLM_ARCH_QWEN2MOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
-    }
-
-    if (arch == LLM_ARCH_QWEN3MOE || arch == LLM_ARCH_OPENAI_MOE || arch == LLM_ARCH_QWEN3VLMOE || arch == LLM_ARCH_RND1) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-    }
-
-    if (arch == LLM_ARCH_MINICPM ||
-        arch == LLM_ARCH_GRANITE ||
-        arch == LLM_ARCH_GRANITE_MOE ||
-        arch == LLM_ARCH_GRANITE_HYBRID ||
-        arch == LLM_ARCH_NEMOTRON_H_MOE) {
-        LLAMA_LOG_INFO("%s: f_embedding_scale     = %f\n", __func__, hparams.f_embedding_scale);
-        LLAMA_LOG_INFO("%s: f_residual_scale      = %f\n", __func__, hparams.f_residual_scale);
-        LLAMA_LOG_INFO("%s: f_attention_scale     = %f\n", __func__, hparams.f_attention_scale);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n", __func__, hparams.n_ff_shexp);
-    }
-
-    if (arch == LLM_ARCH_BAILINGMOE) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-    }
-
-    if (arch == LLM_ARCH_BAILINGMOE2) {
-        LLAMA_LOG_INFO("%s: n_layer_dense_lead    = %d\n",     __func__, hparams.n_layer_dense_lead);
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_shexp            = %d\n",     __func__, hparams.n_ff_shexp);
-        LLAMA_LOG_INFO("%s: n_expert_shared       = %d\n",     __func__, hparams.n_expert_shared);
-        LLAMA_LOG_INFO("%s: expert_weights_scale  = %.1f\n",   __func__, hparams.expert_weights_scale);
-        LLAMA_LOG_INFO("%s: expert_weights_norm   = %d\n",     __func__, hparams.expert_weights_norm);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-        LLAMA_LOG_INFO("%s: nextn_predict_layers  = %d\n",     __func__, hparams.nextn_predict_layers);
-    }
-
-    if (arch == LLM_ARCH_SMALLTHINKER || arch == LLM_ARCH_LFM2MOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: expert_gating_func    = %s\n",     __func__, llama_expert_gating_func_name((llama_expert_gating_func_type) hparams.expert_gating_func));
-    }
-
-    if (arch == LLM_ARCH_GROVEMOE) {
-        LLAMA_LOG_INFO("%s: n_ff_exp              = %d\n",     __func__, hparams.n_ff_exp);
-        LLAMA_LOG_INFO("%s: n_ff_chexp            = %d\n",     __func__, hparams.n_ff_chexp);
-        LLAMA_LOG_INFO("%s: n_group_experts       = %d\n",     __func__, hparams.n_group_experts);
-        LLAMA_LOG_INFO("%s: expert_group_scale    = %.2f\n",   __func__, hparams.expert_group_scale);
-    }
-
-    vocab.print_info();
-}
-
-ggml_backend_dev_t llama_model::dev_layer(int il) const {
-    return pimpl->dev_layer.at(il).dev;
-}
-
-ggml_backend_dev_t llama_model::dev_output() const {
-    return pimpl->dev_output.dev;
-}
-
-template<typename F>
-static bool buft_supported(ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev, F & fn) {
-    ggml_init_params params = {
-        /*.mem_size   =*/ ggml_tensor_overhead()*8,
-        /*.mem_buffer =*/ NULL,
-        /*.no_alloc   =*/ true,
-    };
-
-    ggml_context_ptr ctx { ggml_init(params) };
-    if (!ctx) {
-        throw std::runtime_error(format("failed to create ggml context"));
-    }
-
-    ggml_backend_buffer_ptr buf { ggml_backend_buft_alloc_buffer(buft, 0) };
-    ggml_tensor * op_tensor = fn(ctx.get());
-    for (int i = 0; i < GGML_MAX_SRC; i++) {
-        if (op_tensor->src[i] != nullptr) {
-            assert(op_tensor->src[i]->buffer == nullptr);
-            op_tensor->src[i]->buffer = buf.get();
-        }
-    }
-
-    bool op_supported = ggml_backend_dev_supports_op(dev, op_tensor);
-
-    return op_supported;
-}
-
-template<typename F>
-static ggml_backend_buffer_type_t select_buft(const buft_list_t & buft_list, const F & fn) {
-    for (const auto & cur : buft_list) {
-        ggml_backend_dev_t cur_dev = cur.first;
-        ggml_backend_buffer_type_t cur_buft = cur.second;
-        if (buft_supported(cur_buft, cur_dev, fn)) {
-            return cur_buft;
-        }
-    }
-
-    throw std::runtime_error(format("no suitable buffer type found"));
-}
-
-ggml_backend_buffer_type_t llama_model::select_buft(int il) const {
-    return ::select_buft(
-            *pimpl->dev_layer.at(il).buft_list,
-            [&](ggml_context * ctx) {
-                ggml_tensor * cur = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.n_embd);
-                ggml_tensor * layer_dir = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.n_embd);
-                return ggml_add(ctx, cur, layer_dir);
-            });
-}
-
-bool llama_model::has_tensor_overrides() const {
-    return pimpl->has_tensor_overrides;
-}
-
-const ggml_tensor * llama_model::get_tensor(const char * name) const {
-    auto it = std::find_if(tensors_by_name.begin(), tensors_by_name.end(),
-            [name](const std::pair<std::string, ggml_tensor *> & it) {
-                return it.first == name;
-            });
-    if (it == tensors_by_name.end()) {
-        return nullptr;
-    }
-
-    return it->second;
-}
-
-float llama_model::get_rope_freq_base (const llama_cparams & cparams, int il) const {
-    return hparams.is_swa(il) ? hparams.rope_freq_base_train_swa : cparams.rope_freq_base;
-}
-
-float llama_model::get_rope_freq_scale(const llama_cparams & cparams, int il) const {
-    return hparams.is_swa(il) ? hparams.rope_freq_scale_train_swa : cparams.rope_freq_scale;
-}
-
-ggml_tensor * llama_model::get_rope_factors(const llama_cparams & cparams, int il) const {
-    const uint32_t n_ctx_seq = cparams.n_ctx_seq;
-
-    // choose long/short freq factors based on the context size
-    if (layers[il].rope_freqs != nullptr) {
-        return layers[il].rope_freqs;
-    }
-
-    if (n_ctx_seq > hparams.n_ctx_orig_yarn) {
-        return layers[il].rope_long;
-    }
-
-    return layers[il].rope_short;
-}
-
-llama_memory_i * llama_model::create_memory(const llama_memory_params & params, const llama_cparams & cparams) const {
-    llama_memory_i * res;
-
-    switch (arch) {
-        // Models that need specific instantiation should be handled in the
-        // switch statement
-        case LLM_ARCH_BERT:
-        case LLM_ARCH_JINA_BERT_V2:
-        case LLM_ARCH_JINA_BERT_V3:
-        case LLM_ARCH_NOMIC_BERT:
-        case LLM_ARCH_NOMIC_BERT_MOE:
-        case LLM_ARCH_NEO_BERT:
-        case LLM_ARCH_EUROBERT:
-        case LLM_ARCH_WAVTOKENIZER_DEC:
-        case LLM_ARCH_MODERN_BERT:
-        case LLM_ARCH_GEMMA_EMBEDDING:
-        case LLM_ARCH_DREAM:
-        case LLM_ARCH_LLADA:
-        case LLM_ARCH_LLADA_MOE:
-        case LLM_ARCH_RND1:
-            {
-                res = nullptr;
-            } break;
-        // Models that need standard caching should rely on recurrent/hybrid
-        // checks
-        default:
-            {
-                if (llm_arch_is_recurrent(arch)) {
-                    res = new llama_memory_recurrent(
-                            *this,
-                            GGML_TYPE_F32,
-                            GGML_TYPE_F32,
-                            cparams.offload_kqv,
-                            std::max((uint32_t) 1, cparams.n_seq_max),
-                            cparams.n_seq_max,
-                            nullptr);
-                } else if (llm_arch_is_hybrid(arch)) {
-                    // The main difference between hybrid architectures is the
-                    // layer filters, so pick the right one here
-                    llama_memory_hybrid::layer_filter_cb filter_attn = nullptr;
-                    llama_memory_hybrid::layer_filter_cb filter_recr = nullptr;
-                    if (arch == LLM_ARCH_FALCON_H1) {
-                        filter_attn = [&](int32_t) { return true; };
-                        filter_recr = [&](int32_t) { return true; };
-                    } else if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) {
-                        filter_attn = [&](int32_t il) {
-                            return !hparams.is_recurrent(il) && hparams.n_ff(il) == 0;
-                        };
-                        filter_recr = [&](int32_t il) {
-                            return hparams.is_recurrent(il) && hparams.n_ff(il) == 0;
-                        };
-                    }
-
-                    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
-                        // Use hybrid-iswa for hybrid models with SWA
-                        res = new llama_memory_hybrid_iswa(
-                            /* model             */ *this,
-                            /* attn_type_k       */ params.type_k,
-                            /* attn_type_v       */ params.type_v,
-                            /* attn_v_trans      */ !cparams.flash_attn,
-                            /* attn_swa_full     */ params.swa_full,
-                            /* attn_kv_size      */ cparams.n_ctx_seq,
-                            /* attn_n_ubatch     */ cparams.n_ubatch,
-                            /* attn_n_pad        */ 1,
-                            /* recurrent_type_r  */ GGML_TYPE_F32,
-                            /* recurrent_type_s  */ GGML_TYPE_F32,
-                            /* recurrent_rs_size */ std::max((uint32_t) 1, cparams.n_seq_max),
-                            /* n_seq_max         */ cparams.n_seq_max,
-                            /* offload           */ cparams.offload_kqv,
-                            /* unified           */ cparams.kv_unified,
-                            /* filter_attn       */ std::move(filter_attn),
-                            /* filter_recr       */ std::move(filter_recr));
-                    } else {
-                        res = new llama_memory_hybrid(
-                            /* model             */ *this,
-                            /* attn_type_k       */ params.type_k,
-                            /* attn_type_v       */ params.type_v,
-                            /* attn_v_trans      */ !cparams.flash_attn,
-                            /* attn_kv_size      */ cparams.n_ctx_seq,
-                            /* attn_n_pad        */ 1,
-                            /* attn_n_swa        */ hparams.n_swa,
-                            /* attn_swa_type     */ hparams.swa_type,
-                            /* recurrent_type_k  */ GGML_TYPE_F32,
-                            /* recurrent_type_v  */ GGML_TYPE_F32,
-                            /* recurrent_kv_size */ std::max((uint32_t) 1, cparams.n_seq_max),
-                            /* n_seq_max         */ cparams.n_seq_max,
-                            /* offload           */ cparams.offload_kqv,
-                            /* unified           */ cparams.kv_unified,
-                            /* filter_attn       */ std::move(filter_attn),
-                            /* filter_recr       */ std::move(filter_recr));
-                    }
-                } else {
-                    llama_memory_i::layer_reuse_cb reuse = nullptr;
-
-                    if (arch == LLM_ARCH_GEMMA3N || arch == LLM_ARCH_GEMMA4) {
-                        reuse = [&](int32_t il) {
-                            if (il >= (int32_t) hparams.n_layer_kv_from_start) {
-                                return (int32_t) hparams.n_layer_kv_from_start - (hparams.is_swa(il) ? 2 : 1);
-                            }
-
-                            return -1;
-                        };
-                    }
-
-                    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
-                        GGML_ASSERT(hparams.is_swa_any());
-
-                        res = new llama_kv_cache_iswa(
-                                *this,
-                                params.type_k,
-                                params.type_v,
-                                !cparams.flash_attn,
-                                cparams.offload_kqv,
-                                params.swa_full,
-                                cparams.kv_unified,
-                                cparams.n_ctx_seq,
-                                cparams.n_seq_max,
-                                cparams.n_ubatch,
-                                1,
-                                nullptr,
-                                reuse);
-                    } else {
-                        GGML_ASSERT(!hparams.is_swa_any());
-
-                        res = new llama_kv_cache(
-                                *this,
-                                params.type_k,
-                                params.type_v,
-                                !cparams.flash_attn,
-                                cparams.offload_kqv,
-                                cparams.kv_unified,
-                                cparams.n_ctx_seq,
-                                cparams.n_seq_max,
-                                1,
-                                hparams.n_swa,
-                                hparams.swa_type,
-                                nullptr,
-                                nullptr);
-                    }
-                }
-            }
-    }
-
-    return res;
-}
-
-ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
-    std::unique_ptr<llm_graph_context> llm;
-
-    switch (arch) {
-        case LLM_ARCH_LLAMA:
-            {
-                llm = std::make_unique<llm_build_llama<false>>(*this, params);
-            } break;
-        case LLM_ARCH_LLAMA4:
-            {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_NONE) {
-                    llm = std::make_unique<llm_build_llama<false>>(*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_llama_iswa>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_LLAMA_EMBED:
-            {
-                llm = std::make_unique<llm_build_llama<true>>(*this, params);
-            } break;
-        case LLM_ARCH_MAINCODER:
-            {
-                llm = std::make_unique<llm_build_maincoder>(*this, params);
-            } break;
-        case LLM_ARCH_DECI:
-            {
-                llm = std::make_unique<llm_build_deci>(*this, params);
-            } break;
-        case LLM_ARCH_BAICHUAN:
-            {
-                llm = std::make_unique<llm_build_baichuan>(*this, params);
-            } break;
-        case LLM_ARCH_FALCON:
-            {
-                llm = std::make_unique<llm_build_falcon>(*this, params);
-            } break;
-        case LLM_ARCH_GROK:
-            {
-                llm = std::make_unique<llm_build_grok>(*this, params);
-            } break;
-        case LLM_ARCH_STARCODER:
-            {
-                llm = std::make_unique<llm_build_starcoder>(*this, params);
-            } break;
-        case LLM_ARCH_REFACT:
-            {
-                llm = std::make_unique<llm_build_refact>(*this, params);
-            } break;
-        case LLM_ARCH_BERT:
-        case LLM_ARCH_JINA_BERT_V2:
-        case LLM_ARCH_JINA_BERT_V3:
-        case LLM_ARCH_NOMIC_BERT:
-        case LLM_ARCH_NOMIC_BERT_MOE:
-            {
-                llm = std::make_unique<llm_build_bert>(*this, params);
-            } break;
-        case LLM_ARCH_MODERN_BERT:
-            {
-                llm = std::make_unique<llm_build_modern_bert>(*this, params);
-            } break;
-        case LLM_ARCH_NEO_BERT:
-            {
-                llm = std::make_unique<llm_build_neo_bert>(*this, params);
-            } break;
-        case LLM_ARCH_EUROBERT:
-            {
-                llm = std::make_unique<llm_build_eurobert>(*this, params);
-            } break;
-        case LLM_ARCH_BLOOM:
-            {
-                llm = std::make_unique<llm_build_bloom>(*this, params);
-            } break;
-        case LLM_ARCH_MPT:
-            {
-                llm = std::make_unique<llm_build_mpt>(*this, params);
-            } break;
-        case LLM_ARCH_STABLELM:
-            {
-                llm = std::make_unique<llm_build_stablelm>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN:
-            {
-                llm = std::make_unique<llm_build_qwen>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN2:
-            {
-                llm = std::make_unique<llm_build_qwen2>(*this, params);
-            } break;
-        case LLM_ARCH_DREAM:
-            {
-                llm = std::make_unique<llm_build_dream>(*this, params);
-            }
-            break;
-        case LLM_ARCH_LLADA:
-            {
-                llm = std::make_unique<llm_build_llada>(*this, params);
-            }
-            break;
-        case LLM_ARCH_LLADA_MOE:
-            {
-                llm = std::make_unique<llm_build_llada_moe>(*this, params);
-            }
-            break;
-        case LLM_ARCH_RND1:
-            {
-                llm = std::make_unique<llm_build_rnd1>(*this, params);
-            }
-            break;
-        case LLM_ARCH_QWEN2VL:
-            {
-                llm = std::make_unique<llm_build_qwen2vl>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN2MOE:
-            {
-                llm = std::make_unique<llm_build_qwen2moe>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN3:
-            {
-                llm = std::make_unique<llm_build_qwen3>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN3MOE:
-            {
-                llm = std::make_unique<llm_build_qwen3moe>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN3VL:
-            {
-                llm = std::make_unique<llm_build_qwen3vl>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN3VLMOE:
-            {
-                llm = std::make_unique<llm_build_qwen3vlmoe>(*this, params);
-            } break;
-        case LLM_ARCH_PHI2:
-            {
-                llm = std::make_unique<llm_build_phi2>(*this, params);
-            } break;
-        case LLM_ARCH_PHI3:
-        case LLM_ARCH_PHIMOE:
-            {
-                if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
-                    llm = std::make_unique<llm_build_phi3<true>> (*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_phi3<false>>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_PLAMO:
-            {
-                llm = std::make_unique<llm_build_plamo>(*this, params);
-            } break;
-        case LLM_ARCH_PLAMO2:
-            {
-                llm = std::make_unique<llm_build_plamo2>(*this, params);
-            } break;
-        case LLM_ARCH_PLAMO3:
-            {
-                if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
-                    llm = std::make_unique<llm_build_plamo3<true>> (*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_plamo3<false>>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_GPT2:
-            {
-                llm = std::make_unique<llm_build_gpt2>(*this, params);
-            } break;
-        case LLM_ARCH_CODESHELL:
-            {
-                llm = std::make_unique<llm_build_codeshell>(*this, params);
-            } break;
-        case LLM_ARCH_ORION:
-            {
-                llm = std::make_unique<llm_build_orion>(*this, params);
-            } break;
-        case LLM_ARCH_INTERNLM2:
-            {
-                llm = std::make_unique<llm_build_internlm2>(*this, params);
-            } break;
-        case LLM_ARCH_MINICPM3:
-            {
-                llm = std::make_unique<llm_build_minicpm3>(*this, params);
-            } break;
-        case LLM_ARCH_GEMMA:
-            {
-                llm = std::make_unique<llm_build_gemma>(*this, params);
-            } break;
-        case LLM_ARCH_GEMMA2:
-            {
-                llm = std::make_unique<llm_build_gemma2_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_GEMMA3:
-            {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
-                    llm = std::make_unique<llm_build_gemma3<true>>(*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_gemma3<false>>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_GEMMA3N:
-            {
-                llm = std::make_unique<llm_build_gemma3n_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_GEMMA4:
-            {
-                llm = std::make_unique<llm_build_gemma4_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_GEMMA_EMBEDDING:
-            {
-                llm = std::make_unique<llm_build_gemma_embedding>(*this, params);
-            } break;
-        case LLM_ARCH_STARCODER2:
-            {
-                llm = std::make_unique<llm_build_starcoder2>(*this, params);
-            } break;
-        case LLM_ARCH_MAMBA:
-        case LLM_ARCH_MAMBA2:
-            {
-                llm = std::make_unique<llm_build_mamba>(*this, params);
-            } break;
-        case LLM_ARCH_JAMBA:
-            {
-                llm = std::make_unique<llm_build_jamba>(*this, params);
-            } break;
-        case LLM_ARCH_XVERSE:
-            {
-                llm = std::make_unique<llm_build_xverse>(*this, params);
-            } break;
-        case LLM_ARCH_COMMAND_R:
-            {
-                llm = std::make_unique<llm_build_command_r>(*this, params);
-            } break;
-        case LLM_ARCH_COHERE2:
-            {
-                llm = std::make_unique<llm_build_cohere2_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_DBRX:
-            {
-                llm = std::make_unique<llm_build_dbrx>(*this, params);
-            } break;
-        case LLM_ARCH_OLMO:
-            {
-                llm = std::make_unique<llm_build_olmo>(*this, params);
-            } break;
-        case LLM_ARCH_OLMO2:
-            {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
-                    llm = std::make_unique<llm_build_olmo2<true>>(*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_olmo2<false>>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_OLMOE:
-            {
-                llm = std::make_unique<llm_build_olmoe>(*this, params);
-            } break;
-        case LLM_ARCH_OPENELM:
-            {
-                llm = std::make_unique<llm_build_openelm>(*this, params);
-            } break;
-        case LLM_ARCH_GPTNEOX:
-            {
-                llm = std::make_unique<llm_build_gptneox>(*this, params);
-            } break;
-        case LLM_ARCH_ARCTIC:
-            {
-                llm = std::make_unique<llm_build_arctic>(*this, params);
-            } break;
-        case LLM_ARCH_DEEPSEEK:
-            {
-                llm = std::make_unique<llm_build_deepseek>(*this, params);
-            } break;
-        case LLM_ARCH_DEEPSEEK2:
-        case LLM_ARCH_DEEPSEEK2OCR:
-        case LLM_ARCH_GLM_DSA:
-        case LLM_ARCH_MISTRAL4:
-            {
-                llm = std::make_unique<llm_build_deepseek2>(*this, params);
-            } break;
-        case LLM_ARCH_CHATGLM:
-            {
-                llm = std::make_unique<llm_build_chatglm>(*this, params);
-            } break;
-        case LLM_ARCH_GLM4:
-            {
-                llm = std::make_unique<llm_build_glm4>(*this, params);
-            } break;
-        case LLM_ARCH_GLM4_MOE:
-            {
-                llm = std::make_unique<llm_build_glm4_moe>(*this, params);
-            } break;
-        case LLM_ARCH_BITNET:
-            {
-                llm = std::make_unique<llm_build_bitnet>(*this, params);
-            } break;
-        case LLM_ARCH_T5:
-            {
-                switch (params.gtype) {
-                    case LLM_GRAPH_TYPE_ENCODER:
-                        llm = std::make_unique<llm_build_t5_enc>(*this, params);
-                        break;
-                    case LLM_GRAPH_TYPE_DEFAULT:
-                    case LLM_GRAPH_TYPE_DECODER:
-                        llm = std::make_unique<llm_build_t5_dec>(*this, params);
-                        break;
-                    default:
-                        GGML_ABORT("invalid graph type");
-                };
-            } break;
-        case LLM_ARCH_T5ENCODER:
-            {
-                llm = std::make_unique<llm_build_t5_enc>(*this, params);
-            }
-            break;
-        case LLM_ARCH_JAIS:
-            {
-                llm = std::make_unique<llm_build_jais>(*this, params);
-            } break;
-        case LLM_ARCH_JAIS2:
-            {
-                llm = std::make_unique<llm_build_jais2>(*this, params);
-            } break;
-        case LLM_ARCH_NEMOTRON:
-            {
-                llm = std::make_unique<llm_build_nemotron>(*this, params);
-            } break;
-        case LLM_ARCH_NEMOTRON_H:
-        case LLM_ARCH_NEMOTRON_H_MOE:
-            {
-                llm = std::make_unique<llm_build_nemotron_h>(*this, params);
-            } break;
-        case LLM_ARCH_EXAONE:
-            {
-                llm = std::make_unique<llm_build_exaone>(*this, params);
-            } break;
-        case LLM_ARCH_EXAONE4:
-            {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
-                    llm = std::make_unique<llm_build_exaone4<true>>(*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_exaone4<false>>(*this, params);
-                }
-            } break;
-        case LLM_ARCH_EXAONE_MOE:
-            {
-                llm = std::make_unique<llm_build_exaone_moe>(*this, params);
-            } break;
-        case LLM_ARCH_RWKV6:
-            {
-                llm = std::make_unique<llm_build_rwkv6>(*this, params);
-            } break;
-        case LLM_ARCH_RWKV6QWEN2:
-            {
-                llm = std::make_unique<llm_build_rwkv6qwen2>(*this, params);
-            } break;
-        case LLM_ARCH_RWKV7:
-            {
-                llm = std::make_unique<llm_build_rwkv7>(*this, params);
-            } break;
-        case LLM_ARCH_ARWKV7:
-            {
-                llm = std::make_unique<llm_build_arwkv7>(*this, params);
-            } break;
-        case LLM_ARCH_GRANITE:
-        case LLM_ARCH_GRANITE_MOE:
-        case LLM_ARCH_MINICPM:
-            {
-                llm = std::make_unique<llm_build_granite>(*this, params);
-            } break;
-        case LLM_ARCH_GRANITE_HYBRID:
-            {
-                llm = std::make_unique<llm_build_granite_hybrid>(*this, params);
-            } break;
-        case LLM_ARCH_CHAMELEON:
-            {
-                llm = std::make_unique<llm_build_chameleon>(*this, params);
-            } break;
+    return layers[il].rope_short;
+}
+
+llama_memory_i * llama_model::create_memory(const llama_memory_params & params, const llama_cparams & cparams) const {
+    llama_memory_i * res;
+
+    switch (arch) {
+        // Models that need specific instantiation should be handled in the
+        // switch statement
+        case LLM_ARCH_BERT:
+        case LLM_ARCH_JINA_BERT_V2:
+        case LLM_ARCH_JINA_BERT_V3:
+        case LLM_ARCH_NOMIC_BERT:
+        case LLM_ARCH_NOMIC_BERT_MOE:
+        case LLM_ARCH_NEO_BERT:
+        case LLM_ARCH_EUROBERT:
         case LLM_ARCH_WAVTOKENIZER_DEC:
+        case LLM_ARCH_MODERN_BERT:
+        case LLM_ARCH_GEMMA_EMBEDDING:
+        case LLM_ARCH_DREAM:
+        case LLM_ARCH_LLADA:
+        case LLM_ARCH_LLADA_MOE:
+        case LLM_ARCH_RND1:
             {
-                llm = std::make_unique<llm_build_wavtokenizer_dec>(*this, params);
-            } break;
-        case LLM_ARCH_PLM:
-            {
-                llm = std::make_unique<llm_build_plm>(*this, params);
-            } break;
-        case LLM_ARCH_BAILINGMOE:
-            {
-                llm = std::make_unique<llm_build_bailingmoe>(*this, params);
-            } break;
-        case LLM_ARCH_BAILINGMOE2:
-            {
-                llm = std::make_unique<llm_build_bailingmoe2>(*this, params);
-            } break;
-        case LLM_ARCH_SEED_OSS:
-            {
-                llm = std::make_unique<llm_build_seed_oss>(*this, params);
-            } break;
-        case LLM_ARCH_DOTS1:
-            {
-                llm = std::make_unique<llm_build_dots1>(*this, params);
-            } break;
-        case LLM_ARCH_ARCEE:
-            {
-                llm = std::make_unique<llm_build_arcee>(*this, params);
-            } break;
-        case LLM_ARCH_AFMOE:
-            {
-                llm = std::make_unique<llm_build_afmoe>(*this, params);
-            } break;
-        case LLM_ARCH_ERNIE4_5:
-            {
-                llm = std::make_unique<llm_build_ernie4_5>(*this, params);
-            } break;
-        case LLM_ARCH_ERNIE4_5_MOE:
-            {
-                llm = std::make_unique<llm_build_ernie4_5_moe>(*this, params);
-            } break;
-        case LLM_ARCH_PADDLEOCR:
-            {
-                llm = std::make_unique<llm_build_paddleocr>(*this, params);
-            } break;
-        case LLM_ARCH_HUNYUAN_MOE:
-            {
-                llm = std::make_unique<llm_build_hunyuan_moe>(*this, params);
-            } break;
-        case LLM_ARCH_HUNYUAN_DENSE:
-            {
-                llm = std::make_unique<llm_build_hunyuan_dense>(*this, params);
-            } break;
-        case LLM_ARCH_SMOLLM3:
-            {
-                llm = std::make_unique<llm_build_smollm3>(*this, params);
-            } break;
-        case LLM_ARCH_OPENAI_MOE:
-            {
-                llm = std::make_unique<llm_build_openai_moe_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_FALCON_H1:
-            {
-                llm = std::make_unique<llm_build_falcon_h1>(*this, params);
-            } break;
-        case LLM_ARCH_LFM2:
-        case LLM_ARCH_LFM2MOE:
-            {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
-                    llm = std::make_unique<llm_build_lfm2<true>>(*this, params);
-                } else {
-                    llm = std::make_unique<llm_build_lfm2<false>>(*this, params);
-                }
+                res = nullptr;
             } break;
-        case LLM_ARCH_SMALLTHINKER:
+        // Models that need standard caching should rely on recurrent/hybrid
+        // checks
+        default:
             {
-                if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
-                    llm = std::make_unique<llm_build_smallthinker<true>> (*this, params);
+                if (llm_arch_is_recurrent(arch)) {
+                    res = new llama_memory_recurrent(
+                            *this,
+                            GGML_TYPE_F32,
+                            GGML_TYPE_F32,
+                            cparams.offload_kqv,
+                            std::max((uint32_t) 1, cparams.n_seq_max),
+                            cparams.n_seq_max,
+                            nullptr);
+                } else if (llm_arch_is_hybrid(arch)) {
+                    // The main difference between hybrid architectures is the
+                    // layer filters, so pick the right one here
+                    llama_memory_hybrid::layer_filter_cb filter_attn = nullptr;
+                    llama_memory_hybrid::layer_filter_cb filter_recr = nullptr;
+                    if (arch == LLM_ARCH_FALCON_H1) {
+                        filter_attn = [&](int32_t) { return true; };
+                        filter_recr = [&](int32_t) { return true; };
+                    } else if (arch == LLM_ARCH_NEMOTRON_H || arch == LLM_ARCH_NEMOTRON_H_MOE) {
+                        filter_attn = [&](int32_t il) {
+                            return !hparams.is_recurrent(il) && hparams.n_ff(il) == 0;
+                        };
+                        filter_recr = [&](int32_t il) {
+                            return hparams.is_recurrent(il) && hparams.n_ff(il) == 0;
+                        };
+                    }
+
+                    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+                        // Use hybrid-iswa for hybrid models with SWA
+                        res = new llama_memory_hybrid_iswa(
+                            /* model             */ *this,
+                            /* attn_type_k       */ params.type_k,
+                            /* attn_type_v       */ params.type_v,
+                            /* attn_v_trans      */ !cparams.flash_attn,
+                            /* attn_swa_full     */ params.swa_full,
+                            /* attn_kv_size      */ cparams.n_ctx_seq,
+                            /* attn_n_ubatch     */ cparams.n_ubatch,
+                            /* attn_n_pad        */ 1,
+                            /* recurrent_type_r  */ GGML_TYPE_F32,
+                            /* recurrent_type_s  */ GGML_TYPE_F32,
+                            /* recurrent_rs_size */ std::max((uint32_t) 1, cparams.n_seq_max),
+                            /* n_seq_max         */ cparams.n_seq_max,
+                            /* offload           */ cparams.offload_kqv,
+                            /* unified           */ cparams.kv_unified,
+                            /* filter_attn       */ std::move(filter_attn),
+                            /* filter_recr       */ std::move(filter_recr));
+                    } else {
+                        res = new llama_memory_hybrid(
+                            /* model             */ *this,
+                            /* attn_type_k       */ params.type_k,
+                            /* attn_type_v       */ params.type_v,
+                            /* attn_v_trans      */ !cparams.flash_attn,
+                            /* attn_kv_size      */ cparams.n_ctx_seq,
+                            /* attn_n_pad        */ 1,
+                            /* attn_n_swa        */ hparams.n_swa,
+                            /* attn_swa_type     */ hparams.swa_type,
+                            /* recurrent_type_k  */ GGML_TYPE_F32,
+                            /* recurrent_type_v  */ GGML_TYPE_F32,
+                            /* recurrent_kv_size */ std::max((uint32_t) 1, cparams.n_seq_max),
+                            /* n_seq_max         */ cparams.n_seq_max,
+                            /* offload           */ cparams.offload_kqv,
+                            /* unified           */ cparams.kv_unified,
+                            /* filter_attn       */ std::move(filter_attn),
+                            /* filter_recr       */ std::move(filter_recr));
+                    }
                 } else {
-                    llm = std::make_unique<llm_build_smallthinker<false>>(*this, params);
+                    llama_memory_i::layer_reuse_cb reuse = nullptr;
+
+                    if (arch == LLM_ARCH_GEMMA3N || arch == LLM_ARCH_GEMMA4) {
+                        reuse = [&](int32_t il) {
+                            if (il >= (int32_t) hparams.n_layer_kv_from_start) {
+                                return (int32_t) hparams.n_layer_kv_from_start - (hparams.is_swa(il) ? 2 : 1);
+                            }
+
+                            return -1;
+                        };
+                    }
+
+                    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+                        GGML_ASSERT(hparams.is_swa_any());
+
+                        res = new llama_kv_cache_iswa(
+                                *this,
+                                params.type_k,
+                                params.type_v,
+                                !cparams.flash_attn,
+                                cparams.offload_kqv,
+                                params.swa_full,
+                                cparams.kv_unified,
+                                cparams.n_ctx_seq,
+                                cparams.n_seq_max,
+                                cparams.n_ubatch,
+                                1,
+                                nullptr,
+                                reuse);
+                    } else {
+                        GGML_ASSERT(!hparams.is_swa_any());
+
+                        res = new llama_kv_cache(
+                                *this,
+                                params.type_k,
+                                params.type_v,
+                                !cparams.flash_attn,
+                                cparams.offload_kqv,
+                                cparams.kv_unified,
+                                cparams.n_ctx_seq,
+                                cparams.n_seq_max,
+                                1,
+                                hparams.n_swa,
+                                hparams.swa_type,
+                                nullptr,
+                                nullptr);
+                    }
                 }
-            } break;
-        case LLM_ARCH_GROVEMOE:
-            {
-                llm = std::make_unique<llm_build_grovemoe>(*this, params);
-            } break;
-        case LLM_ARCH_APERTUS:
-            {
-                llm = std::make_unique<llm_build_apertus>(*this, params);
-            } break;
-        case LLM_ARCH_MINIMAX_M2:
-            {
-                llm = std::make_unique<llm_build_minimax_m2>(*this, params);
-            } break;
-        case LLM_ARCH_COGVLM:
-            {
-                llm = std::make_unique<llm_build_cogvlm>(*this, params);
-            } break;
-        case LLM_ARCH_PANGU_EMBED:
-            {
-                llm = std::make_unique<llm_build_pangu_embedded>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN3NEXT:
-            {
-                llm = std::make_unique<llm_build_qwen3next>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN35:
-            {
-                llm = std::make_unique<llm_build_qwen35>(*this, params);
-            } break;
-        case LLM_ARCH_QWEN35MOE:
-            {
-                llm = std::make_unique<llm_build_qwen35moe>(*this, params);
-            } break;
-        case LLM_ARCH_MISTRAL3:
-            {
-                llm = std::make_unique<llm_build_mistral3>(*this, params);
-            } break;
-        case LLM_ARCH_MIMO2:
-            {
-                llm = std::make_unique<llm_build_mimo2_iswa>(*this, params);
-            } break;
-        case LLM_ARCH_KIMI_LINEAR:
-            {
-                llm = std::make_unique<llm_build_kimi_linear>(*this, params);
-            } break;
-        case LLM_ARCH_STEP35:
-            {
-                llm = std::make_unique<llm_build_step35_iswa>(*this, params);
-            } break;
-        default:
-            GGML_ABORT("fatal error");
+            }
     }
 
+    return res;
+}
+
+ggml_cgraph * llama_model::build_graph(const llm_graph_params & params) const {
+    std::unique_ptr<llm_graph_context> llm = build_arch_graph(params);
+
     // add on pooling layer
     llm->build_pooling(cls, cls_b, cls_out, cls_out_b, cls_norm);
 
@@ -9178,6 +2325,9 @@ llama_rope_type llama_model_rope_type(const llama_model * model) {
         case LLM_ARCH_GLM4_MOE:
             return model->hparams.use_mrope() ? LLAMA_ROPE_TYPE_MROPE : LLAMA_ROPE_TYPE_NEOX;
 
+        case LLM_ARCH_HUNYUAN_VL:
+            return model->hparams.use_mrope() ? LLAMA_ROPE_TYPE_MROPE : LLAMA_ROPE_TYPE_NEOX;
+
         // all model arches should be listed explicitly here
         case LLM_ARCH_UNKNOWN:
             GGML_ABORT("unknown architecture");
@@ -9312,3 +2462,58 @@ bool llama_model_is_diffusion(const llama_model * model) {
 const std::vector<std::pair<std::string, ggml_tensor *>> & llama_internal_get_tensor_map(const llama_model * model) {
     return model->tensors_by_name;
 }
+
+int32_t llama_model_n_expert(const struct llama_model * model) {
+    return model->hparams.n_expert;
+}
+
+int32_t llama_model_n_devices(const struct llama_model * model) {
+    return (int32_t)model->devices.size();
+}
+
+ggml_backend_dev_t llama_model_get_device(const struct llama_model * model, int i) {
+    if (i < 0 || i >= (int)model->devices.size()) {
+        return nullptr;
+    }
+    return model->devices[i].dev;
+}
+
+//
+// llama_model_base
+//
+
+llama_model_base::llama_model_base(const struct llama_model_params & params) : llama_model(params), model(this), tn(model->arch),
+    TENSOR_DUPLICATED     (llama_model_loader::TENSOR_DUPLICATED),
+    TENSOR_NOT_REQUIRED   (llama_model_loader::TENSOR_NOT_REQUIRED),
+    TENSOR_SKIP           (llama_model_loader::TENSOR_SKIP),
+    TENSOR_SKIP_IF_VIRTUAL(llama_model_loader::TENSOR_SKIP_IF_VIRTUAL) {}
+
+ggml_tensor * llama_model_base::create_tensor(const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) {
+    GGML_ASSERT(ml != nullptr);
+    return create_tensor(*ml, tn, ne, flags);
+}
+
+void llama_model_base::create_tensor_gate_up_exps(llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) {
+    layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED);
+    if (layer.ffn_gate_up_exps == nullptr) {
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);
+    }
+}
+
+void llama_model_base::create_tensor_qkv(llama_layer & layer, int bid,
+        int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_,
+        int flags) {
+    const int64_t n_embd_qkv = n_embd_q_ + n_embd_k_ + n_embd_v_;
+    layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", bid), {n_embd_, n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+    if (layer.wqkv) {
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", bid), {n_embd_qkv}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+    } else {
+        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", bid), {n_embd_, n_embd_q_}, flags);
+        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", bid), {n_embd_, n_embd_k_}, flags);
+        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", bid), {n_embd_, n_embd_v_}, flags);
+        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", bid), {n_embd_q_}, TENSOR_NOT_REQUIRED);
+        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", bid), {n_embd_k_}, TENSOR_NOT_REQUIRED);
+        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", bid), {n_embd_v_}, TENSOR_NOT_REQUIRED);
+    }
+}
diff --git a/src/llama-model.h b/src/llama-model.h
index 4f1100839..d63c68918 100644
--- a/src/llama-model.h
+++ b/src/llama-model.h
@@ -84,6 +84,7 @@ enum llm_type {
     LLM_TYPE_26B,
     LLM_TYPE_27B,
     LLM_TYPE_30B,
+    LLM_TYPE_31B,
     LLM_TYPE_32B,
     LLM_TYPE_34B,
     LLM_TYPE_35B,
@@ -118,6 +119,7 @@ enum llm_type {
     LLM_TYPE_16B_A1B,
     LLM_TYPE_21B_A3B, // Ernie MoE small
     LLM_TYPE_24B_A2B, // lfm2moe
+    LLM_TYPE_26B_A4B, // Gemma4
     LLM_TYPE_30B_A3B,
     LLM_TYPE_31B_A3_5B,
     LLM_TYPE_35B_A3B, // Qwen3.5
@@ -244,6 +246,8 @@ struct llama_layer {
     struct ggml_tensor * wkv_b     = nullptr;
     struct ggml_tensor * wk_b      = nullptr;
     struct ggml_tensor * wv_b      = nullptr;
+    struct ggml_tensor * wqkv_b    = nullptr;
+    struct ggml_tensor * wo_b      = nullptr;
     struct ggml_tensor * wq_cross  = nullptr;
     struct ggml_tensor * wk_cross  = nullptr;
     struct ggml_tensor * wv_cross  = nullptr;
@@ -254,13 +258,6 @@ struct llama_layer {
     struct ggml_tensor * wo_enc    = nullptr;
     struct ggml_tensor * wqkv_gate = nullptr;
 
-    // attention bias
-    struct ggml_tensor * bq   = nullptr;
-    struct ggml_tensor * bk   = nullptr;
-    struct ggml_tensor * bv   = nullptr;
-    struct ggml_tensor * bo   = nullptr;
-    struct ggml_tensor * bqkv = nullptr;
-
     // relative position bias
     struct ggml_tensor * attn_rel_b       = nullptr;
     struct ggml_tensor * attn_rel_b_enc   = nullptr;
@@ -499,6 +496,19 @@ struct llama_layer {
     struct llama_layer_nextn nextn;
 };
 
+struct llama_device {
+    bool is_meta;
+
+    ggml_backend_dev_t dev;
+};
+
+struct llama_meta_device_get_split_state_userdata {
+    size_t                     n_devices;
+    const struct llama_model * model;
+};
+
+struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const struct ggml_tensor * tensor, void * userdata);
+
 struct llama_model {
     llm_type type = LLM_TYPE_UNKNOWN;
     llm_arch arch = LLM_ARCH_UNKNOWN;
@@ -534,9 +544,9 @@ struct llama_model {
     struct ggml_tensor * conv1d_b = nullptr;
 
     // gemma3n altup
-    struct ggml_tensor * tok_embd_per_layer   = nullptr;
     struct ggml_tensor * altup_proj           = nullptr;
     struct ggml_tensor * altup_unembd_proj    = nullptr;
+    struct ggml_tensor * per_layer_tok_embd   = nullptr;
     struct ggml_tensor * per_layer_model_proj = nullptr;
     struct ggml_tensor * per_layer_proj_norm  = nullptr;
 
@@ -553,7 +563,7 @@ struct llama_model {
     std::unordered_map<std::string, std::string> gguf_kv;
 
     // list of devices used in this model
-    std::vector<ggml_backend_dev_t> devices;
+    std::vector<llama_device> devices;
 
     // for quantize-stats only
     std::vector<std::pair<std::string, struct ggml_tensor *>> tensors_by_name;
@@ -561,17 +571,14 @@ struct llama_model {
     // for keeping track of associated LoRA adapters
     std::unordered_set<llama_adapter_lora *> loras;
 
+    // statically allocated context for assigning
+    struct llama_meta_device_get_split_state_userdata get_split_state_ud;
+
     int64_t t_load_us  = 0;
     int64_t t_start_us = 0;
 
-    explicit llama_model(const struct llama_model_params & params);
-    ~llama_model();
-
-    void load_stats  (llama_model_loader & ml);
-    void load_arch   (llama_model_loader & ml);
-    void load_hparams(llama_model_loader & ml);
-    void load_vocab  (llama_model_loader & ml);
-    bool load_tensors(llama_model_loader & ml); // returns false if cancelled by progress_callback
+    explicit llama_model(const llama_model_params & params);
+    virtual ~llama_model();
 
     std::string arch_name() const;
     std::string type_name() const;
@@ -581,6 +588,7 @@ struct llama_model {
     size_t size() const; // file size
     size_t n_tensors() const;
     size_t n_devices() const;
+    const float * tensor_split() const;
 
     uint32_t n_gpu_layers() const;
     llama_split_mode split_mode() const;
@@ -606,21 +614,94 @@ struct llama_model {
 
     ggml_tensor * get_rope_factors(const llama_cparams & cparams, int il) const;
 
-    // TODO: move this to new llm_arch_model_i interface
     llama_memory_i * create_memory(const llama_memory_params & params, const llama_cparams & cparams) const;
 
-    // TODO: move this to new llm_arch_model_i interface
     ggml_cgraph * build_graph(const llm_graph_params & params) const;
 
-private:
+    virtual void load_stats  (llama_model_loader & ml) = 0;
+    virtual void load_hparams(llama_model_loader & ml) = 0;
+    virtual void load_vocab  (llama_model_loader & ml) = 0;
+    virtual bool load_tensors(llama_model_loader & ml) = 0; // returns false if cancelled by progress_callback
+
+    // model must define these
+    virtual void load_arch_hparams(llama_model_loader & ml) = 0;
+    virtual void load_arch_tensors(llama_model_loader & ml) = 0;
+    virtual std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const = 0;
+
+protected:
     llama_model_params params;
 
     struct impl;
     std::unique_ptr<impl> pimpl;
 };
 
+llama_model * llama_model_create(llm_arch arch, const llama_model_params & params);
+llama_model * llama_model_create(llama_model_loader & ml, const llama_model_params & params);
+
+// model must inherit from this
+struct llama_model_base : public llama_model {
+    friend struct llama_model;
+
+    llama_model * model;
+    llama_model_loader * ml = nullptr;
+    const LLM_TN tn;
+
+    // llama_model_loader is not yet defined at this point, so we will set it after construction
+    const int TENSOR_DUPLICATED;
+    const int TENSOR_NOT_REQUIRED;
+    const int TENSOR_SKIP;
+    const int TENSOR_SKIP_IF_VIRTUAL;
+
+    explicit llama_model_base(const llama_model_params & params);
+    virtual ~llama_model_base() = default;
+
+    ggml_tensor * create_tensor(llama_model_loader & ml, const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags);
+
+    // convenience overload of create_tensor that doesn't require llama_model_loader
+    ggml_tensor * create_tensor(const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags);
+
+    // helper: try merged gate_up_exps first, fall back to separate gate and up
+    void create_tensor_gate_up_exps(llama_layer & layer, int bid, int64_t n_embd_,
+                int64_t n_ff_, int64_t n_expert_, int flags);
+
+    // helper: try to load merged qkv first, fall back to separate q, k, v
+    void create_tensor_qkv(llama_layer & layer, int bid,
+                int64_t n_embd_, int64_t n_embd_q_, int64_t n_embd_k_, int64_t n_embd_v_,
+                int flags);
+
+    void load_stats  (llama_model_loader & ml) override;
+    void load_hparams(llama_model_loader & ml) override;
+    void load_vocab  (llama_model_loader & ml) override;
+    bool load_tensors(llama_model_loader & ml) override;
+
+    // model must define these
+    void load_arch_hparams(llama_model_loader & ml) override = 0;
+    void load_arch_tensors(llama_model_loader & ml) override = 0;
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override = 0;
+};
+
 const char * llm_type_name(llm_type type);
 
+// convenience macro for loading local variables for load_tensors() in llama_model_base
+// note: cast to int64_t since we will use these for the tensor dimensions
+#define LLAMA_LOAD_LOCALS \
+    const int     n_layer        = hparams.n_layer;          GGML_UNUSED(n_layer); \
+    const int64_t n_head         = hparams.n_head();         GGML_UNUSED(n_head); \
+    const int64_t n_head_kv      = hparams.n_head_kv();      GGML_UNUSED(n_head_kv); \
+    const int64_t n_embd         = hparams.n_embd;           GGML_UNUSED(n_embd); \
+    const int64_t n_embd_k_gqa   = hparams.n_embd_k_gqa();   GGML_UNUSED(n_embd_k_gqa); \
+    const int64_t n_embd_v_gqa   = hparams.n_embd_v_gqa();   GGML_UNUSED(n_embd_v_gqa); \
+    const int64_t n_embd_head_k  = hparams.n_embd_head_k();  GGML_UNUSED(n_embd_head_k); \
+    const int64_t n_embd_head_v  = hparams.n_embd_head_v();  GGML_UNUSED(n_embd_head_v); \
+    const int64_t n_ff           = hparams.n_ff();           GGML_UNUSED(n_ff); \
+    const int64_t n_embd_gqa     = n_embd_v_gqa;             GGML_UNUSED(n_embd_gqa); \
+    const int64_t n_vocab        = vocab.n_tokens();         GGML_UNUSED(n_vocab); \
+    const int64_t n_token_types  = vocab.n_token_types();    GGML_UNUSED(n_token_types); \
+    const int64_t n_rot          = hparams.n_rot();          GGML_UNUSED(n_rot); \
+    const int64_t n_expert       = hparams.n_expert;         GGML_UNUSED(n_expert); \
+    const int64_t n_expert_used  = hparams.n_expert_used;    GGML_UNUSED(n_expert_used); \
+    const int64_t n_ctx_train    = hparams.n_ctx_train;      GGML_UNUSED(n_ctx_train);
+
 // For internal test use
 // TODO: remove
 const std::vector<std::pair<std::string, ggml_tensor *>> & llama_internal_get_tensor_map(const llama_model * model);
diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index 67514abdb..6f2929a8c 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -683,9 +683,9 @@ static ggml_type llama_tensor_get_type(quantize_state_impl & qs, const llama_mod
                         LLAMA_LOG_WARN("%s: %-36s - applying manual override: %s -> %s\n",
                                        __func__, tensor_name.c_str(), ggml_type_name(new_type), ggml_type_name(qtype));
                         new_type = qtype;
-                        manual = true;
-                        break;
                     }
+                    manual = true;
+                    break;
                 }
             }
         }
@@ -799,6 +799,7 @@ ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
         case LLAMA_FTYPE_MOSTLY_F16:  return GGML_TYPE_F16;
         case LLAMA_FTYPE_MOSTLY_BF16: return GGML_TYPE_BF16;
         case LLAMA_FTYPE_ALL_F32:     return GGML_TYPE_F32;
+        case LLAMA_FTYPE_MOSTLY_Q1_0: return GGML_TYPE_Q1_0;
 
         case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return GGML_TYPE_MXFP4;
 
@@ -881,13 +882,18 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         fname_inp, splits, /*file*/ nullptr, use_mmap, /*use_direct_io*/ false, /*use_hugepages*/ false, /*check_tensors*/ true, /*no_alloc*/ false, kv_overrides, nullptr);
     ml.init_mappings(false); // no prefetching
 
-    llama_model model(llama_model_default_params());
+    auto mparams = llama_model_default_params();
+    std::unique_ptr<llama_model> model_ptr(llama_model_create(ml, mparams));
 
-    model.load_arch   (ml);
-    model.load_hparams(ml);
-    model.load_stats  (ml);
+    auto * model = dynamic_cast<llama_model_base *>(model_ptr.get());
+    if (model == nullptr) {
+        GGML_ABORT("fatal error: model does not implement llama_model_base");
+    }
+
+    model->load_hparams(ml);
+    model->load_stats  (ml);
 
-    quantize_state_impl qs(model, params);
+    quantize_state_impl qs(*model, params);
 
     if (params->only_copy) {
         ftype = ml.ftype;
@@ -1022,7 +1028,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
         }
         gguf_add_tensor(ctx_outs[i_split].get(), tensor);
 
-        metadata[i].allows_quantization = tensor_allows_quantization(params, model.arch, tensor);
+        metadata[i].allows_quantization = tensor_allows_quantization(params, model->arch, tensor);
 
         if (metadata[i].allows_quantization) {
             metadata[i].target_type = llama_tensor_get_type(qs, params, tensor, default_type, metadata[i]);
@@ -1282,7 +1288,7 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
 llama_model_quantize_params llama_model_quantize_default_params() {
     llama_model_quantize_params result = {
         /*.nthread                     =*/ 0,
-        /*.ftype                       =*/ LLAMA_FTYPE_MOSTLY_Q5_1,
+        /*.ftype                       =*/ LLAMA_FTYPE_MOSTLY_Q8_0,
         /*.output_tensor_type          =*/ GGML_TYPE_COUNT,
         /*.token_embedding_type        =*/ GGML_TYPE_COUNT,
         /*.allow_requantize            =*/ false,
@@ -1330,9 +1336,9 @@ void llama_quant_free(quantize_state_impl * qs) {
 
 llama_model * llama_quant_model_from_metadata(const llama_quant_model_desc * desc) {
     struct llama_model_params mparams = llama_model_default_params();
-    auto * model = new llama_model(mparams);
-
-    model->arch = llm_arch_from_string(desc->architecture);
+    auto arch = llm_arch_from_string(desc->architecture);
+    auto * model = llama_model_create(arch, mparams);
+    model->arch = arch;
 
     // infer llm_type: only LLM_TYPE_70B matters for quantization logic
     if (model->arch == LLM_ARCH_LLAMA && desc->n_layer == 80 && desc->n_head != desc->n_head_kv) {
diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp
index de9a9466b..163f222ef 100644
--- a/src/llama-vocab.cpp
+++ b/src/llama-vocab.cpp
@@ -659,8 +659,17 @@ struct llm_tokenizer_bpe_session {
 
                 if (token == LLAMA_TOKEN_NULL) {
                     for (auto j = str.begin(); j != str.end(); ++j) {
-                        std::string byte_str(1, *j);
-                        auto token_multibyte = vocab.text_to_token(byte_str);
+                        llama_token token_multibyte = LLAMA_TOKEN_NULL;
+                        if (tokenizer.byte_encode) {
+                            std::string byte_str(1, *j);
+                            token_multibyte = vocab.text_to_token(byte_str);
+                        } else {
+                            // For non-byte-encoded BPE (e.g. gemma-4), byte tokens use <0xXX> format
+                            static const char * hex = "0123456789ABCDEF";
+                            const uint8_t ch = (uint8_t)*j;
+                            const char buf[7] = { '<', '0', 'x', hex[ch >> 4], hex[ch & 15], '>', 0 };
+                            token_multibyte = vocab.text_to_token(buf);
+                        }
                         if (token_multibyte != LLAMA_TOKEN_NULL) {
                             output.push_back(token_multibyte);
                         }
@@ -2558,7 +2567,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                     || t.first == "[EOS]" // Kimi-K2
                     || t.first == "<|end_of_text|>"
                     || t.first == "<end_of_utterance>" // smoldocling
-                    || t.first == "<turn|>" // gemma4
+                    || t.first == "<eos>"            // gemma4
+                    || t.first == "<turn|>"          // gemma4
                     || t.first == "<|tool_response>" // gemma4
                     || t.first == "<｜end▁of▁sentence｜>" // deepseek-ocr
                ) {
@@ -2645,6 +2655,33 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
                 LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>', or '<|calls|>' and '<|flush|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
             }
         }
+
+        // workaround for gemma4 and paddleocr: do not include </s> as an eog token
+        {
+            bool has_tool_response = false;
+            bool has_s = false;
+
+            llama_token s_id = LLAMA_TOKEN_NULL;
+
+            for (auto tid : special_eog_ids) {
+                const auto & text = id_to_token[tid].text;
+                if (text == "<|tool_response>") {
+                    has_tool_response = true;
+                } else if (text == "</s>") {
+                    has_s = true;
+                    s_id = tid;
+                }
+            }
+
+            if (has_tool_response && has_s) {
+                special_eog_ids.erase(s_id);
+
+                auto & attr = id_to_token[s_id].attr;
+                attr = LLAMA_TOKEN_ATTR_NORMAL;
+
+                LLAMA_LOG_WARN("%s: special_eog_ids contains '<|tool_response>', removing '</s>' token from EOG list\n", __func__);
+            }
+        }
     }
 
     // build special tokens cache
diff --git a/src/llama.cpp b/src/llama.cpp
index 040002f1d..efd2da972 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -1,6 +1,5 @@
 #include "llama.h"
 
-#include "ggml-cpp.h"
 #include "llama-impl.h"
 
 #include "llama-chat.h"
@@ -12,6 +11,7 @@
 #include "llama-model.h"
 
 #include "ggml.h"
+#include "ggml-cpp.h"
 #include "ggml-backend.h"
 #include "gguf.h"
 
@@ -24,6 +24,7 @@
 #include <cstring>
 #include <ctime>
 #include <stdexcept>
+#include <vector>
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -45,722 +46,6 @@ const char * llama_flash_attn_type_name(enum llama_flash_attn_type flash_attn_ty
     GGML_ABORT("fatal error");
 }
 
-struct llama_device_memory_data {
-    int64_t total;
-    int64_t free;
-    llama_memory_breakdown_data mb;
-};
-
-static std::vector<llama_device_memory_data> llama_get_device_memory_data(
-        const char * path_model, const llama_model_params * mparams, const llama_context_params * cparams,
-        std::vector<ggml_backend_dev_t> & devs, uint32_t & hp_ngl, uint32_t & hp_n_ctx_train, uint32_t & hp_n_expert,
-        const ggml_log_level log_level) {
-    struct user_data_t {
-        struct {
-            ggml_log_callback callback;
-            void * user_data;
-        } original_logger;
-        ggml_log_level min_level; // prints below this log level go to debug log
-    };
-    user_data_t ud;
-    llama_log_get(&ud.original_logger.callback, &ud.original_logger.user_data);
-    ud.min_level = log_level;
-
-    llama_log_set([](ggml_log_level level, const char * text, void * user_data) {
-        const user_data_t * ud = (const user_data_t *) user_data;
-        const ggml_log_level level_eff = level >= ud->min_level ? level : GGML_LOG_LEVEL_DEBUG;
-        ud->original_logger.callback(level_eff, text, ud->original_logger.user_data);
-    }, &ud);
-
-    llama_model_params mparams_copy = *mparams;
-    mparams_copy.no_alloc  = true;
-    mparams_copy.use_mmap  = false;
-    mparams_copy.use_mlock = false;
-
-    llama_model * model = llama_model_load_from_file(path_model, mparams_copy);
-    if (model == nullptr) {
-        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-        throw std::runtime_error("failed to load model");
-    }
-
-    llama_context * ctx = llama_init_from_model(model, *cparams);
-    if (ctx == nullptr) {
-        llama_model_free(model);
-        llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-        throw std::runtime_error("failed to create llama_context from model");
-    }
-
-    std::vector<llama_device_memory_data> ret(model->devices.size());
-
-    std::map<ggml_backend_buffer_type_t, llama_memory_breakdown_data> memory_breakdown = ctx->memory_breakdown();
-
-    for (const auto & [buft, mb] : memory_breakdown) {
-        if (ggml_backend_buft_is_host(buft)) {
-            continue;
-        }
-
-        ggml_backend_dev_t dev = ggml_backend_buft_get_device(buft);
-        if (!dev) {
-            continue;
-        }
-        for (size_t i = 0; i < ret.size(); i++) {
-            if (model->devices[i] == dev) {
-                ret[i].mb.model   += mb.model;
-                ret[i].mb.context += mb.context;
-                ret[i].mb.compute += mb.compute;
-                break;
-            }
-        }
-    }
-    for (size_t i = 0; i < ret.size(); i++) {
-        size_t free;
-        size_t total;
-        ggml_backend_dev_memory(model->devices[i], &free, &total);
-
-        // devices can return 0 bytes for free and total memory if they do not
-        // have any to report. in this case, we will use the host memory as a fallback
-        // fixes: https://github.com/ggml-org/llama.cpp/issues/18577
-        if (free == 0 && total == 0) {
-            ggml_backend_dev_t cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
-            if (cpu_dev == nullptr) {
-                throw std::runtime_error(format("%s: no CPU backend found", __func__));
-            }
-            ggml_backend_dev_memory(cpu_dev, &free, &total);
-        }
-        ret[i].free  = free;
-        ret[i].total = total;
-    }
-
-    devs           = model->devices;
-    hp_ngl         = model->hparams.n_layer;
-    hp_n_ctx_train = model->hparams.n_ctx_train;
-    hp_n_expert    = model->hparams.n_expert;
-
-    llama_memory_breakdown_print(ctx); // goes to debug log
-
-    llama_free(ctx);
-    llama_model_free(model);
-    llama_log_set(ud.original_logger.callback, ud.original_logger.user_data);
-    return ret;
-}
-
-// enum to identify part of a layer for distributing its tensors:
-enum layer_fraction_t {
-    LAYER_FRACTION_NONE = 0, // nothing
-    LAYER_FRACTION_ATTN = 1, // attention
-    LAYER_FRACTION_UP   = 2, // attention + up
-    LAYER_FRACTION_GATE = 3, // attention + up + gate
-    LAYER_FRACTION_MOE  = 4, // everything but sparse MoE weights
-};
-// this enum is only used in llama_params_fit_impl but needs to be defined outside of it to fix a Windows compilation issue
-
-class llama_params_fit_exception : public std::runtime_error {
-    using std::runtime_error::runtime_error;
-};
-
-static void llama_params_fit_impl(
-        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
-        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
-        size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
-    constexpr int64_t MiB = 1024*1024;
-    typedef std::vector<llama_device_memory_data> dmds_t;
-    const llama_model_params default_mparams = llama_model_default_params();
-
-    std::vector<ggml_backend_dev_t> devs;
-    uint32_t hp_ngl = 0; // hparams.n_gpu_layers
-    uint32_t hp_nct = 0; // hparams.n_ctx_train
-    uint32_t hp_nex = 0; // hparams.n_expert
-
-    // step 1: get data for default parameters and check whether any changes are necessary in the first place
-
-    LLAMA_LOG_DEBUG("%s: getting device memory data for initial parameters:\n", __func__);
-    const dmds_t dmds_full = llama_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-    const size_t nd = devs.size(); // number of devices
-    if (nd == 0) {
-        LLAMA_LOG_INFO("%s: no devices with dedicated memory found\n", __func__);
-        return;
-    }
-
-    std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
-    margins.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        margins.push_back(margins_s[id]);
-    }
-
-    std::vector<std::string> dev_names;
-    {
-        dev_names.reserve(nd);
-        size_t max_length = 0;
-        for (ggml_backend_dev_t dev : devs) {
-            std::string name = ggml_backend_dev_name(dev);
-            name += " (";
-            name += ggml_backend_dev_description(dev);
-            name += ")";
-            dev_names.push_back(name);
-            max_length = std::max(max_length, name.length());
-        }
-        for (std::string & dn : dev_names) {
-            dn.insert(dn.end(), max_length - dn.length(), ' ');
-        }
-    }
-
-    int64_t sum_free            = 0;
-    int64_t sum_projected_free  = 0;
-    int64_t sum_projected_used  = 0;
-    int64_t sum_projected_model = 0;
-    std::vector<int64_t> projected_free_per_device;
-    projected_free_per_device.reserve(nd);
-
-    if (nd > 1) {
-        LLAMA_LOG_INFO("%s: projected memory use with initial parameters [MiB]:\n", __func__);
-    }
-    for (size_t id = 0; id < nd; id++) {
-        const llama_device_memory_data & dmd = dmds_full[id];
-
-        const int64_t projected_used = dmd.mb.total();
-        const int64_t projected_free = dmd.free - projected_used;
-        projected_free_per_device.push_back(projected_free);
-
-        sum_free            += dmd.free;
-        sum_projected_used  += projected_used;
-        sum_projected_free  += projected_free;
-        sum_projected_model += dmd.mb.model;
-
-        if (nd > 1) {
-            LLAMA_LOG_INFO("%s:   - %s: %6" PRId64 " total, %6" PRId64 " used, %6" PRId64 " free vs. target of %6" PRId64 "\n",
-                __func__, dev_names[id].c_str(), dmd.total/MiB, projected_used/MiB, projected_free/MiB, margins[id]/MiB);
-        }
-    }
-    assert(sum_free >= 0 && sum_projected_used >= 0);
-    LLAMA_LOG_INFO("%s: projected to use %" PRId64 " MiB of device memory vs. %" PRId64 " MiB of free device memory\n",
-        __func__, sum_projected_used/MiB, sum_free/MiB);
-    if (nd == 1) {
-        if (projected_free_per_device[0] >= margins[0]) {
-            LLAMA_LOG_INFO("%s: will leave %" PRId64 " >= %" PRId64 " MiB of free device memory, no changes needed\n",
-                __func__, projected_free_per_device[0]/MiB, margins[0]/MiB);
-            return;
-        }
-    } else {
-        bool changes_needed = false;
-        for (size_t id = 0; id < nd; id++) {
-            if (projected_free_per_device[id] < margins[id]) {
-                changes_needed = true;
-                break;
-            }
-        }
-        if (!changes_needed) {
-            LLAMA_LOG_INFO("%s: targets for free memory can be met on all devices, no changes needed\n", __func__);
-            return;
-        }
-    }
-
-    // step 2: try reducing memory use by reducing the context size
-
-    {
-        int64_t global_surplus = sum_projected_free;
-        for (size_t id = 0; id < nd; id++) {
-            global_surplus -= margins[id];
-        }
-        if (global_surplus < 0) {
-            if (nd == 1) {
-                LLAMA_LOG_INFO("%s: cannot meet free memory target of %" PRId64 " MiB, need to reduce device memory by %" PRId64 " MiB\n",
-                    __func__, margins[0]/MiB, -global_surplus/MiB);
-            } else {
-                LLAMA_LOG_INFO(
-                    "%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
-                    __func__, -global_surplus/MiB);
-            }
-            if (cparams->n_ctx == 0) {
-                if (hp_nct > n_ctx_min) {
-                    int64_t sum_used_target = sum_free;
-                    for (size_t id = 0; id < nd; id++) {
-                        sum_used_target -= margins[id];
-                    }
-                    if (nd > 1) {
-                        // for multiple devices we need to be more conservative in terms of how much context we think can fit:
-                        //   - for dense models only whole layers can be assigned to devices
-                        //   - for MoE models only whole tensors can be assigned to devices, which we estimate to be <= 1/3 of a layer
-                        //   - on average we expect a waste of 0.5 layers/tensors per device
-                        //   - use slightly more than the expected average for nd devices to be safe
-                        const int64_t model_per_layer = sum_projected_model / std::min(uint32_t(mparams->n_gpu_layers), hp_ngl);
-                        sum_used_target -= (nd + 1) * model_per_layer / (hp_nex == 0 ? 2 : 6);
-                    }
-
-                    int64_t sum_projected_used_min_ctx = 0;
-                    cparams->n_ctx = n_ctx_min;
-                    const dmds_t dmds_min_ctx = llama_get_device_memory_data(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-                    for (const auto & dmd : dmds_min_ctx) {
-                        sum_projected_used_min_ctx += dmd.mb.total();
-                    }
-                    if (sum_used_target > sum_projected_used_min_ctx) {
-                        // linear interpolation between minimum and maximum context size:
-                        cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
-                            / (sum_projected_used - sum_projected_used_min_ctx);
-                        cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
-
-                        const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
-                        const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
-                        LLAMA_LOG_INFO("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
-                        if (nd == 1) {
-                            LLAMA_LOG_INFO("%s: entire model can be fit by reducing context\n", __func__);
-                            return;
-                        }
-                        LLAMA_LOG_INFO("%s: entire model should be fit across devices by reducing context\n", __func__);
-                    } else {
-                        const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
-                        LLAMA_LOG_INFO("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
-                            __func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
-                    }
-                } else {
-                    if (n_ctx_min == UINT32_MAX) {
-                        LLAMA_LOG_INFO("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
-                    } else {
-                        LLAMA_LOG_INFO("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
-                            __func__, hp_nct, n_ctx_min);
-                    }
-                }
-            } else {
-                LLAMA_LOG_INFO("%s: context size set by user to %" PRIu32 " -> no change\n", __func__, cparams->n_ctx);
-            }
-        }
-    }
-
-    if (mparams->n_gpu_layers != default_mparams.n_gpu_layers) {
-        throw llama_params_fit_exception("n_gpu_layers already set by user to " + std::to_string(mparams->n_gpu_layers) + ", abort");
-    }
-    if (nd > 1) {
-        if (!tensor_split) {
-            throw llama_params_fit_exception("did not provide a buffer to write the tensor_split to, abort");
-        }
-        if (mparams->tensor_split) {
-            for (size_t id = 0; id < nd; id++) {
-                if (mparams->tensor_split[id] != 0.0f) {
-                    throw llama_params_fit_exception("model_params::tensor_split already set by user, abort");
-                }
-            }
-        }
-        if (mparams->split_mode == LLAMA_SPLIT_MODE_ROW) {
-            throw llama_params_fit_exception("changing weight allocation for LLAMA_SPLIT_MODE_ROW not implemented, abort");
-        }
-    }
-    if (!tensor_buft_overrides) {
-        throw llama_params_fit_exception("did not provide buffer to set tensor_buft_overrides, abort");
-    }
-    if (mparams->tensor_buft_overrides && (mparams->tensor_buft_overrides->pattern || mparams->tensor_buft_overrides->buft)) {
-        throw llama_params_fit_exception("model_params::tensor_buft_overrides already set by user, abort");
-    }
-
-    // step 3: iteratively fill the back to front with "dense" layers
-    //   - for a dense model simply fill full layers, giving each device a contiguous slice of the model
-    //   - for a MoE model, same as dense model but with all MoE tensors in system memory
-
-    // utility function that returns a static C string matching the tensors for a specific layer index and layer fraction:
-    auto get_overflow_pattern = [&](const size_t il, const layer_fraction_t lf) -> const char * {
-        constexpr size_t n_strings = 1000;
-        if (il >= n_strings) {
-            throw std::runtime_error("at most " + std::to_string(n_strings) + " model layers are supported");
-        }
-        switch (lf) {
-            case LAYER_FRACTION_ATTN: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|up|gate_up|down).*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_UP: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(gate|gate_up|down).*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_GATE: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_down.*";
-                }
-                return patterns[il].c_str();
-            }
-            case LAYER_FRACTION_MOE: {
-                static std::array<std::string, n_strings> patterns;
-                if (patterns[il].empty()) {
-                    patterns[il] = "blk\\." + std::to_string(il) + "\\.ffn_(up|down|gate_up|gate)_(ch|)exps";
-                }
-                return patterns[il].c_str();
-            }
-            default:
-                GGML_ABORT("fatal error");
-        }
-    };
-
-    struct ngl_t {
-        uint32_t n_layer = 0; // number of total layers
-        uint32_t n_part  = 0; // number of partial layers, <= n_layer
-
-        // for the first partial layer varying parts can overflow, all further layers use LAYER_FRACTION_MOE:
-        layer_fraction_t overflow_type = LAYER_FRACTION_MOE;
-
-        uint32_t n_full() const {
-            assert(n_layer >= n_part);
-            return n_layer - n_part;
-        }
-    };
-
-    const size_t ntbo = llama_max_tensor_buft_overrides();
-
-    // utility function to set n_gpu_layers and tensor_split
-    auto set_ngl_tensor_split_tbo = [&](
-            const std::vector<ngl_t> & ngl_per_device,
-            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts,
-            llama_model_params & mparams) {
-        mparams.n_gpu_layers = 0;
-        for (size_t id = 0; id < nd; id++) {
-            mparams.n_gpu_layers += ngl_per_device[id].n_layer;
-            if (nd > 1) {
-                tensor_split[id] = ngl_per_device[id].n_layer;
-            }
-        }
-        assert(uint32_t(mparams.n_gpu_layers) <= hp_ngl + 1);
-        uint32_t il0 = hp_ngl + 1 - mparams.n_gpu_layers; // start index for tensor buft overrides
-
-        mparams.tensor_split = tensor_split;
-
-        size_t itbo = 0;
-        for (size_t id = 0; id < nd; id++) {
-            il0 += ngl_per_device[id].n_full();
-            for (uint32_t il = il0; il < il0 + ngl_per_device[id].n_part; il++) {
-                if (itbo + 1 >= ntbo) {
-                    tensor_buft_overrides[itbo].pattern = nullptr;
-                    tensor_buft_overrides[itbo].buft    = nullptr;
-                    itbo++;
-                    mparams.tensor_buft_overrides = tensor_buft_overrides;
-                    throw llama_params_fit_exception("llama_max_tensor_buft_overrides() == "
-                        + std::to_string(ntbo) + " is insufficient for model");
-                }
-                tensor_buft_overrides[itbo].pattern = get_overflow_pattern(il, il == il0 ? ngl_per_device[id].overflow_type : LAYER_FRACTION_MOE);
-                tensor_buft_overrides[itbo].buft = il == il0 ? overflow_bufts[id] : ggml_backend_cpu_buffer_type();
-                itbo++;
-            }
-            il0 += ngl_per_device[id].n_part;
-        }
-        tensor_buft_overrides[itbo].pattern = nullptr;
-        tensor_buft_overrides[itbo].buft    = nullptr;
-        itbo++;
-        mparams.tensor_buft_overrides = tensor_buft_overrides;
-    };
-
-    // utility function that returns the memory use per device for given numbers of layers per device
-    auto get_memory_for_layers = [&](
-            const char * func_name,
-            const std::vector<ngl_t> & ngl_per_device,
-            const std::vector<ggml_backend_buffer_type_t> & overflow_bufts) -> std::vector<int64_t> {
-        llama_model_params mparams_copy = *mparams;
-        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
-
-        const dmds_t dmd_nl = llama_get_device_memory_data(
-            path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-
-        LLAMA_LOG_DEBUG("%s: memory for test allocation by device:\n", func_name);
-        for (size_t id = 0; id < nd; id++) {
-            const ngl_t & n = ngl_per_device[id];
-            LLAMA_LOG_DEBUG(
-                "%s: id=%zu, n_layer=%2" PRIu32 ", n_part=%2" PRIu32 ", overflow_type=%d, mem=%6" PRId64 " MiB\n",
-                func_name, id, n.n_layer, n.n_part, int(n.overflow_type), dmd_nl[id].mb.total()/MiB);
-        }
-
-        std::vector<int64_t> ret;
-        ret.reserve(nd);
-        for (const llama_device_memory_data & dmd : dmd_nl) {
-            ret.push_back(dmd.mb.total());
-        }
-        return ret;
-    };
-
-    int64_t global_surplus_cpu_moe = 0;
-    if (hp_nex > 0) {
-        const static std::string pattern_moe_all = "blk\\.\\d+\\.ffn_(up|down|gate_up|gate)_(ch|)exps"; // matches all MoE tensors
-        ggml_backend_buffer_type_t cpu_buft = ggml_backend_cpu_buffer_type();
-        tensor_buft_overrides[0] = {pattern_moe_all.c_str(), cpu_buft};
-        tensor_buft_overrides[1] = {nullptr, nullptr};
-        mparams->tensor_buft_overrides = tensor_buft_overrides;
-
-        LLAMA_LOG_DEBUG("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
-        const dmds_t dmds_cpu_moe = llama_get_device_memory_data(
-            path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
-
-        for (size_t id = 0; id < nd; id++) {
-            global_surplus_cpu_moe += dmds_cpu_moe[id].free;
-            global_surplus_cpu_moe -= int64_t(dmds_cpu_moe[id].mb.total()) + margins[id];
-        }
-
-        if (global_surplus_cpu_moe > 0) {
-            LLAMA_LOG_INFO("%s: with only dense weights in device memory there is a total surplus of %" PRId64 " MiB\n",
-                __func__, global_surplus_cpu_moe/MiB);
-        } else {
-            LLAMA_LOG_INFO("%s: with only dense weights in device memory there is still a total deficit of %" PRId64 " MiB\n",
-                __func__, -global_surplus_cpu_moe/MiB);
-        }
-
-        // reset
-        tensor_buft_overrides[0] = {nullptr, nullptr};
-        mparams->tensor_buft_overrides = tensor_buft_overrides;
-    }
-
-    std::vector<int64_t> targets; // maximum acceptable memory use per device
-    targets.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        targets.push_back(dmds_full[id].free - margins[id]);
-        LLAMA_LOG_DEBUG("%s: id=%zu, target=%" PRId64 " MiB\n", __func__, id, targets[id]/MiB);
-    }
-
-    std::vector<ggml_backend_buffer_type_t> overflow_bufts; // which bufts the first partial layer of a device overflows to:
-    overflow_bufts.reserve(nd);
-    for (size_t id = 0; id < nd; id++) {
-        overflow_bufts.push_back(ggml_backend_cpu_buffer_type());
-    }
-
-    std::vector<ngl_t> ngl_per_device(nd);
-    std::vector<int64_t> mem = get_memory_for_layers(__func__, ngl_per_device, overflow_bufts);
-
-    // optimize the number of layers per device using the method of false position:
-    //   - ngl_per_device has 0 layers for each device, lower bound
-    //   - try a "high" configuration where a device is given all unassigned layers
-    //   - interpolate the memory use / layer between low and high linearly to get a guess where it meets our target
-    //   - check memory use of our guess, replace either the low or high bound
-    //   - once we only have a difference of a single layer, stop and return the lower bound that just barely still fits
-    //   - the last device has the output layer, which cannot be a partial layer
-    if (hp_nex == 0) {
-        LLAMA_LOG_INFO("%s: filling dense layers back-to-front:\n", __func__);
-    } else {
-        LLAMA_LOG_INFO("%s: filling dense-only layers back-to-front:\n", __func__);
-    }
-    for (int id = nd - 1; id >= 0; id--) {
-        uint32_t n_unassigned = hp_ngl + 1;
-        for (size_t jd = id + 1; jd < nd; ++jd) {
-            assert(n_unassigned >= ngl_per_device[jd].n_layer);
-            n_unassigned -= ngl_per_device[jd].n_layer;
-        }
-
-        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
-        ngl_per_device_high[id].n_layer = n_unassigned;
-        if (hp_nex > 0) {
-            ngl_per_device_high[id].n_part = size_t(id) < nd - 1 ? ngl_per_device_high[id].n_layer : ngl_per_device_high[id].n_layer - 1;
-        }
-        if (ngl_per_device_high[id].n_layer > 0) {
-            std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
-            if (mem_high[id] > targets[id]) {
-                assert(ngl_per_device_high[id].n_layer > ngl_per_device[id].n_layer);
-                uint32_t delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
-                LLAMA_LOG_DEBUG("%s: start filling device %" PRIu32 ", delta=%" PRIu32 "\n", __func__, id, delta);
-                while (delta > 1) {
-                    uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
-                    step_size = std::max(step_size, uint32_t(1));
-                    step_size = std::min(step_size, delta - 1);
-
-                    std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-                    ngl_per_device_test[id].n_layer += step_size;
-                    if (hp_nex) {
-                        ngl_per_device_test[id].n_part += size_t(id) == nd - 1 && ngl_per_device_test[id].n_part == 0 ?
-                            step_size - 1 : step_size; // the first layer is the output layer which must always be full
-                    }
-                    const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
-
-                    if (mem_test[id] <= targets[id]) {
-                        ngl_per_device = ngl_per_device_test;
-                        mem            = mem_test;
-                        LLAMA_LOG_DEBUG("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
-                    } else {
-                        ngl_per_device_high = ngl_per_device_test;
-                        mem_high            = mem_test;
-                        LLAMA_LOG_DEBUG("%s: set ngl_per_device_high[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device_high[id].n_layer);
-                    }
-                    delta = ngl_per_device_high[id].n_layer - ngl_per_device[id].n_layer;
-                }
-            } else {
-                assert(ngl_per_device_high[id].n_layer == n_unassigned);
-                ngl_per_device = ngl_per_device_high;
-                mem            = mem_high;
-                LLAMA_LOG_DEBUG("%s: set ngl_per_device[%d].n_layer=%" PRIu32 "\n", __func__, id, ngl_per_device[id].n_layer);
-            }
-        }
-
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers, %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, mem[id]/MiB, projected_margin/MiB);
-    }
-    if (hp_nex == 0 || global_surplus_cpu_moe <= 0) {
-        set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
-        return;
-    }
-
-    // step 4: for a MoE model where all dense tensors fit,
-    //     convert the dense-only layers in the back to full layers in the front until all devices are full
-    // essentially the same procedure as for the dense-only layers except front-to-back
-    // also, try fitting at least part of one more layer to reduce waste for "small" GPUs with e.g. 24 GiB VRAM
-
-    size_t id_dense_start = nd;
-    for (int id = nd - 1; id >= 0; id--) {
-        if (ngl_per_device[id].n_layer > 0) {
-            id_dense_start = id;
-            continue;
-        }
-        break;
-    }
-    assert(id_dense_start < nd);
-
-    LLAMA_LOG_INFO("%s: converting dense-only layers to full layers and filling them front-to-back with overflow to next device/system memory:\n", __func__);
-    for (size_t id = 0; id <= id_dense_start && id_dense_start < nd; id++) {
-        std::vector<ngl_t> ngl_per_device_high = ngl_per_device;
-        for (size_t jd = id_dense_start; jd < nd; jd++) {
-            const uint32_t n_layer_move = jd < nd - 1 ? ngl_per_device_high[jd].n_layer : ngl_per_device_high[jd].n_layer - 1;
-            ngl_per_device_high[id].n_layer += n_layer_move;
-            ngl_per_device_high[jd].n_layer -= n_layer_move;
-            ngl_per_device_high[jd].n_part = 0;
-        }
-        size_t id_dense_start_high = nd - 1;
-        std::vector<int64_t> mem_high = get_memory_for_layers(__func__, ngl_per_device_high, overflow_bufts);
-
-        if (mem_high[id] > targets[id]) {
-            assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
-            uint32_t delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
-            while (delta > 1) {
-                uint32_t step_size = int64_t(delta) * (targets[id] - mem[id]) / (mem_high[id] - mem[id]);
-                step_size = std::max(step_size, uint32_t(1));
-                step_size = std::min(step_size, delta - 1);
-
-                std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-                size_t id_dense_start_test = id_dense_start;
-                uint32_t n_converted_test = 0;
-                for (;id_dense_start_test < nd; id_dense_start_test++) {
-                    const uint32_t n_convert_jd = std::min(step_size - n_converted_test, ngl_per_device_test[id_dense_start_test].n_part);
-                    ngl_per_device_test[id_dense_start_test].n_layer -= n_convert_jd;
-                    ngl_per_device_test[id_dense_start_test].n_part -= n_convert_jd;
-                    ngl_per_device_test[id].n_layer += n_convert_jd;
-                    n_converted_test += n_convert_jd;
-
-                    if (ngl_per_device_test[id_dense_start_test].n_part > 0) {
-                        break;
-                    }
-                }
-                const std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts);
-
-                if (mem_test[id] <= targets[id]) {
-                    ngl_per_device = ngl_per_device_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                } else {
-                    ngl_per_device_high = ngl_per_device_test;
-                    mem_high            = mem_test;
-                    id_dense_start_high = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device_high[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start_high=%zu\n",
-                        __func__, id, ngl_per_device_high[id].n_layer, ngl_per_device_high[id].n_part, id_dense_start_high);
-                }
-                assert(ngl_per_device_high[id].n_full() >= ngl_per_device[id].n_full());
-                delta = ngl_per_device_high[id].n_full() - ngl_per_device[id].n_full();
-            }
-        } else {
-            ngl_per_device = ngl_per_device_high;
-            mem            = mem_high;
-            id_dense_start = id_dense_start_high;
-            LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part)=(%" PRIu32 ", %" PRIu32 "), id_dense_start=%zu\n",
-                __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-        }
-
-        // try to fit at least part of one more layer
-        if (ngl_per_device[id_dense_start].n_layer > (id < nd - 1 ? 0 : 1)) {
-            std::vector<ngl_t> ngl_per_device_test = ngl_per_device;
-            size_t id_dense_start_test = id_dense_start;
-            ngl_per_device_test[id_dense_start_test].n_layer--;
-            ngl_per_device_test[id_dense_start_test].n_part--;
-            ngl_per_device_test[id].n_layer++;
-            ngl_per_device_test[id].n_part++;
-            if (ngl_per_device_test[id_dense_start_test].n_part == 0) {
-                id_dense_start_test++;
-            }
-            ngl_per_device_test[id].overflow_type = LAYER_FRACTION_UP;
-            std::vector<ggml_backend_buffer_type_t> overflow_bufts_test = overflow_bufts;
-            if (id < nd - 1) {
-                overflow_bufts_test[id] = ggml_backend_dev_buffer_type(devs[id + 1]);
-            }
-            LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_UP\n", __func__);
-            std::vector<int64_t> mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-            if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                ngl_per_device = ngl_per_device_test;
-                overflow_bufts = overflow_bufts_test;
-                mem            = mem_test;
-                id_dense_start = id_dense_start_test;
-                LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", UP), id_dense_start=%zu\n",
-                    __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-
-                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_GATE;
-                LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_GATE\n", __func__);
-                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                    ngl_per_device = ngl_per_device_test;
-                    overflow_bufts = overflow_bufts_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", GATE), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                }
-            } else {
-                ngl_per_device_test[id].overflow_type = LAYER_FRACTION_ATTN;
-                LLAMA_LOG_DEBUG("%s: trying to fit one extra layer with overflow_type=LAYER_FRACTION_ATTN\n", __func__);
-                mem_test = get_memory_for_layers(__func__, ngl_per_device_test, overflow_bufts_test);
-                if (mem_test[id] < targets[id] && (id + 1 == nd || mem_test[id + 1] < targets[id + 1])) {
-                    ngl_per_device = ngl_per_device_test;
-                    overflow_bufts = overflow_bufts_test;
-                    mem            = mem_test;
-                    id_dense_start = id_dense_start_test;
-                    LLAMA_LOG_DEBUG("%s: set ngl_per_device[%zu].(n_layer, n_part, overflow_type)=(%" PRIu32 ", %" PRIu32 ", ATTN), id_dense_start=%zu\n",
-                        __func__, id, ngl_per_device[id].n_layer, ngl_per_device[id].n_part, id_dense_start);
-                }
-            }
-        }
-
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
-    }
-
-    // print info for devices that were not changed during the conversion from dense only to full layers:
-    for (size_t id = id_dense_start + 1; id < nd; id++) {
-        const int64_t projected_margin = dmds_full[id].free - mem[id];
-        LLAMA_LOG_INFO(
-            "%s:   - %s: %2" PRIu32 " layers (%2" PRIu32 " overflowing), %6" PRId64 " MiB used, %6" PRId64 " MiB free\n",
-            __func__, dev_names[id].c_str(), ngl_per_device[id].n_layer, ngl_per_device[id].n_part, mem[id]/MiB, projected_margin/MiB);
-    }
-
-    set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, *mparams);
-}
-
-enum llama_params_fit_status llama_params_fit(
-        const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
-        float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
-        size_t * margins, uint32_t n_ctx_min, enum ggml_log_level log_level) {
-    const int64_t t0_us = llama_time_us();
-    llama_params_fit_status status = LLAMA_PARAMS_FIT_STATUS_SUCCESS;
-    try {
-        llama_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
-        LLAMA_LOG_INFO("%s: successfully fit params to free device memory\n", __func__);
-    } catch (const llama_params_fit_exception & e) {
-        LLAMA_LOG_WARN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
-        status = LLAMA_PARAMS_FIT_STATUS_FAILURE;
-    } catch (const std::runtime_error & e) {
-        LLAMA_LOG_ERROR("%s: encountered an error while trying to fit params to free device memory: %s\n", __func__, e.what());
-        status = LLAMA_PARAMS_FIT_STATUS_ERROR;
-    }
-    const int64_t t1_us = llama_time_us();
-    LLAMA_LOG_INFO("%s: fitting params to free memory took %.2f seconds\n", __func__, (t1_us - t0_us) * 1e-6);
-    return status;
-}
-
 struct llama_sampler_chain_params llama_sampler_chain_default_params() {
     struct llama_sampler_chain_params result = {
         /*.no_perf =*/ true,
@@ -786,12 +71,18 @@ bool llama_supports_mlock(void) {
 }
 
 bool llama_supports_gpu_offload(void) {
+    if (!ggml_backend_reg_count()) {
+        ggml_backend_load_all();
+    }
     return ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_GPU) != nullptr ||
            ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_IGPU) != nullptr ||
            llama_supports_rpc();
 }
 
 bool llama_supports_rpc(void) {
+    if (!ggml_backend_reg_count()) {
+        ggml_backend_load_all();
+    }
     return ggml_backend_reg_by_name("RPC") != nullptr;
 }
 
@@ -804,6 +95,10 @@ void llama_backend_init(void) {
         struct ggml_context * ctx = ggml_init(params);
         ggml_free(ctx);
     }
+
+    if (!ggml_backend_reg_count()) {
+        ggml_backend_load_all();
+    }
 }
 
 void llama_numa_init(enum ggml_numa_strategy numa) {
@@ -826,61 +121,218 @@ int64_t llama_time_us(void) {
     return ggml_time_us();
 }
 
-// Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback
-static int llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud,
-        const std::string & fname, std::vector<std::string> & splits, FILE * file, llama_model & model, llama_model_params & params) {
-    // loading time will be recalculated after the first eval, so
-    // we take page faults deferred by mmap() into consideration
-    model.t_load_us = 0;
-    time_meas tm(model.t_load_us);
+// returns true on success
+static bool llama_prepare_model_devices(const llama_model_params & params, llama_model * model) {
+    // create list of devices to use with this model
+    if (params.devices) {
+        if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+            size_t n_devs = 0;
+            while (params.devices[n_devs]) {
+                n_devs++;
+            }
+            if (n_devs == 0) {
+                LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__);
+                return false;
+            }
+            LLAMA_LOG_INFO("%s: creating a Meta device with %zu devices\n", __func__, n_devs);
+            for (size_t i = 0; i < n_devs; ++i) {
+                LLAMA_LOG_INFO("%s: - device %zu: %s\n", __func__, i, ggml_backend_dev_name(params.devices[i]));
+            }
+            model->get_split_state_ud.n_devices = n_devs;
+            model->get_split_state_ud.model = model;
+            model->devices.push_back({
+                true, ggml_backend_meta_device(
+                params.devices, n_devs, llama_meta_device_get_split_state, &model->get_split_state_ud)
+            });
+        } else {
+            for (ggml_backend_dev_t * dev = params.devices; *dev; ++dev) {
+                model->devices.push_back({false, *dev});
+            }
+        }
+    } else {
+        // default device selection
+
+        // build list of available devices
+        std::vector<llama_device> gpus;
+        std::vector<llama_device> igpus;
+        std::vector<llama_device> rpc_servers;
+
+        if (params.split_mode == LLAMA_SPLIT_MODE_TENSOR) {
+            std::vector<ggml_backend_dev_t> devs;
+            devs.reserve(ggml_backend_dev_count());
+            for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
+                auto * dev = ggml_backend_dev_get(i);
+                if (ggml_backend_dev_buffer_type(dev) == ggml_backend_cpu_buffer_type()) {
+                    LLAMA_LOG_INFO("%s: skipping %s (%s) for tensor parallelism\n", __func__, ggml_backend_dev_name(dev), ggml_backend_dev_description(dev));
+                    continue;
+                }
+                devs.push_back(dev);
+            }
+            if (devs.empty()) {
+                LLAMA_LOG_ERROR("%s: LLAMA_SPLIT_MODE_TENSOR needs >= 1 devices\n", __func__);
+                return false;
+            }
+
+            LLAMA_LOG_INFO("%s: creating a Meta device for tensor parallelism from %zu devices:\n", __func__, devs.size());
+            for (size_t i = 0; i < devs.size(); ++i) {
+                LLAMA_LOG_INFO("%s: - device %zu: %s (%s)\n", __func__, i, ggml_backend_dev_name(devs[i]), ggml_backend_dev_description(devs[i]));
+            }
+
+            GGML_ASSERT(!devs.empty());
+            model->get_split_state_ud.n_devices = devs.size();
+            model->get_split_state_ud.model     = model;
+            gpus.push_back({
+                true, ggml_backend_meta_device(
+                devs.data(), devs.size(), llama_meta_device_get_split_state, &model->get_split_state_ud)
+            });
+        } else {
+            for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
+                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
+                switch (ggml_backend_dev_type(dev)) {
+                    case GGML_BACKEND_DEVICE_TYPE_CPU:
+                    case GGML_BACKEND_DEVICE_TYPE_ACCEL:
+                        // skip CPU backends since they are handled separately
+                        break;
+
+                    case GGML_BACKEND_DEVICE_TYPE_GPU: {
+                        ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
+                        if (ggml_backend_reg_name(reg) == std::string("RPC")) {
+                            rpc_servers.push_back({false, dev});
+                        } else {
+                            // check if there is already a GPU with the same device id
+                            ggml_backend_dev_props props;
+                            ggml_backend_dev_get_props(dev, &props);
+                            auto it = std::find_if(gpus.begin(), gpus.end(), [&props](const llama_device & d) {
+                                ggml_backend_dev_props d_props;
+                                ggml_backend_dev_get_props(d.dev, &d_props);
+                                if (props.device_id && d_props.device_id) {
+                                    return strcmp(props.device_id, d_props.device_id) == 0;
+                                }
+                                return false;
+                            });
+
+                            if (it != gpus.end()) {
+                                LLAMA_LOG_INFO("%s: skipping device %s (%s) with id %s - already using device %s (%s) with the same id\n",
+                                        __func__,
+                                        ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
+                                        props.device_id ? props.device_id : "unknown id",
+                                        ggml_backend_dev_name(it->dev), ggml_backend_dev_description(it->dev));
+                            } else {
+                                gpus.push_back({false, dev});
+                            }
+                        }
+                        break;
+                    }
+
+                    case GGML_BACKEND_DEVICE_TYPE_IGPU:
+                        igpus.push_back({false, dev});
+                        break;
+                    case GGML_BACKEND_DEVICE_TYPE_META:
+                        GGML_ABORT("fatal error");
+                }
+            }
+        }
+
+        // add RPC servers at the front of the list to minimize network transfers
+        model->devices.insert(model->devices.begin(), rpc_servers.begin(), rpc_servers.end());
+
+        // add GPUs
+        model->devices.insert(model->devices.end(), gpus.begin(), gpus.end());
+
+        // add integrated GPUs only if no other devices were found
+        if (model->devices.empty()) {
+            model->devices.insert(model->devices.end(), igpus.begin(), igpus.end());
+        }
+    }
+
+    // if using single GPU mode, remove all except the main GPU
+    if (params.split_mode == LLAMA_SPLIT_MODE_NONE) {
+        if (params.main_gpu < 0) {
+            model->devices.clear();
+        } else {
+            if (params.main_gpu >= (int)model->devices.size()) {
+                LLAMA_LOG_ERROR("%s: invalid value for main_gpu: %d (available devices: %zu)\n", __func__, params.main_gpu, model->devices.size());
+                return false;
+            }
+            llama_device main_gpu = model->devices[params.main_gpu];
+            model->devices.clear();
+            model->devices.push_back(main_gpu);
+        }
+    }
+
+    for (const auto & dev : model->devices) {
+        ggml_backend_dev_props props;
+        ggml_backend_dev_get_props(dev.dev, &props);
+        LLAMA_LOG_INFO("%s: using device %s (%s) (%s) - %zu MiB free\n", __func__,
+                ggml_backend_dev_name(dev.dev), ggml_backend_dev_description(dev.dev),
+                props.device_id ? props.device_id : "unknown id",
+                props.memory_free/1024/1024);
+    }
 
-    model.t_start_us = tm.t_start_us;
+    return true;
+}
 
+// Returns 0 on success, -1 on error, and -2 on cancellation via llama_progress_callback
+static std::pair<int, llama_model *> llama_model_load(struct gguf_context * metadata, llama_model_set_tensor_data_t set_tensor_data, void * set_tensor_data_ud,
+        const std::string & fname, std::vector<std::string> & splits, FILE * file, llama_model_params & params) {
     try {
         llama_model_loader ml(metadata, set_tensor_data, set_tensor_data_ud, fname, splits, file, params.use_mmap, params.use_direct_io,
             params.use_hugepages, params.check_tensors, params.no_alloc, params.kv_overrides, params.tensor_buft_overrides);
 
         ml.print_info();
+        std::unique_ptr<llama_model> model_ptr(llama_model_create(ml, params));
 
-        model.hparams.vocab_only = params.vocab_only;
-        model.hparams.no_alloc   = params.no_alloc;
+        bool ok = llama_prepare_model_devices(params, model_ptr.get());
+        if (!ok) {
+            return {-1, nullptr};
+        }
 
-        try {
-            model.load_arch(ml);
-        } catch(const std::exception & e) {
-            throw std::runtime_error("error loading model architecture: " + std::string(e.what()));
+        auto * model = dynamic_cast<llama_model_base *>(model_ptr.get());
+        if (model == nullptr) {
+            GGML_ABORT("fatal error: model does not implement llama_model_base");
         }
+
+        // loading time will be recalculated after the first eval, so
+        // we take page faults deferred by mmap() into consideration
+        model->t_load_us = 0;
+        time_meas tm(model->t_load_us);
+
+        model->t_start_us = tm.t_start_us;
+
+        model->hparams.vocab_only = params.vocab_only;
+        model->hparams.no_alloc   = params.no_alloc;
+
         try {
-            model.load_hparams(ml);
+            model->load_hparams(ml);
         } catch(const std::exception & e) {
             throw std::runtime_error("error loading model hyperparameters: " + std::string(e.what()));
         }
-        if (model.arch == LLM_ARCH_CLIP) {
+        if (model->arch == LLM_ARCH_CLIP) {
             throw std::runtime_error("CLIP cannot be used as main model, use it with --mmproj instead");
         }
         try {
-            model.load_vocab(ml);
+            model->load_vocab(ml);
         } catch(const std::exception & e) {
             throw std::runtime_error("error loading model vocabulary: " + std::string(e.what()));
         }
 
-        model.load_stats(ml);
-        model.print_info();
+        model->load_stats(ml);
+        model->print_info();
 
         if (params.vocab_only) {
             LLAMA_LOG_INFO("%s: vocab only - skipping tensors\n", __func__);
-            return 0;
+            return {0, model_ptr.release()};
         }
 
-        if (!model.load_tensors(ml)) {
-            return -2;
+        if (!model->load_tensors(ml)) {
+            return {-2, nullptr};
         }
+
+        return {0, model_ptr.release()};
     } catch (const std::exception & err) {
         LLAMA_LOG_ERROR("%s: error loading model: %s\n", __func__, err.what());
-        return -1;
+        return {-1, nullptr};
     }
-
-    return 0;
 }
 
 static struct llama_model * llama_model_load_from_file_impl(
@@ -931,103 +383,7 @@ static struct llama_model * llama_model_load_from_file_impl(
         };
     }
 
-    llama_model * model = new llama_model(params);
-
-    // create list of devices to use with this model
-    if (params.devices) {
-        for (ggml_backend_dev_t * dev = params.devices; *dev; ++dev) {
-            model->devices.push_back(*dev);
-        }
-    } else {
-        // default device selection
-
-        // build list of available devices
-        std::vector<ggml_backend_dev_t> gpus;
-        std::vector<ggml_backend_dev_t> igpus;
-        std::vector<ggml_backend_dev_t> rpc_servers;
-
-        for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
-            ggml_backend_dev_t dev = ggml_backend_dev_get(i);
-            switch (ggml_backend_dev_type(dev)) {
-                case GGML_BACKEND_DEVICE_TYPE_CPU:
-                case GGML_BACKEND_DEVICE_TYPE_ACCEL:
-                    // skip CPU backends since they are handled separately
-                    break;
-
-                case GGML_BACKEND_DEVICE_TYPE_GPU: {
-                    ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
-                    if (ggml_backend_reg_name(reg) == std::string("RPC")) {
-                        rpc_servers.push_back(dev);
-                    } else {
-                        // check if there is already a GPU with the same device id
-                        ggml_backend_dev_props props;
-                        ggml_backend_dev_get_props(dev, &props);
-                        auto it = std::find_if(gpus.begin(), gpus.end(), [&props](ggml_backend_dev_t d) {
-                            ggml_backend_dev_props d_props;
-                            ggml_backend_dev_get_props(d, &d_props);
-                            if (props.device_id && d_props.device_id) {
-                                return strcmp(props.device_id, d_props.device_id) == 0;
-                            }
-                            return false;
-                        });
-
-                        if (it != gpus.end()) {
-                            LLAMA_LOG_INFO("%s: skipping device %s (%s) with id %s - already using device %s (%s) with the same id\n",
-                                    __func__,
-                                    ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
-                                    props.device_id ? props.device_id : "unknown id",
-                                    ggml_backend_dev_name(*it), ggml_backend_dev_description(*it));
-                        } else {
-                            gpus.push_back(dev);
-                        }
-                    }
-                    break;
-                }
-
-                case GGML_BACKEND_DEVICE_TYPE_IGPU:
-                    igpus.push_back(dev);
-                    break;
-            }
-        }
-
-        // add RPC servers at the front of the list to minimize network transfers
-        model->devices.insert(model->devices.begin(), rpc_servers.begin(), rpc_servers.end());
-
-        // add GPUs
-        model->devices.insert(model->devices.end(), gpus.begin(), gpus.end());
-
-        // add integrated GPUs only if no other devices were found
-        if (model->devices.empty()) {
-            model->devices.insert(model->devices.end(), igpus.begin(), igpus.end());
-        }
-    }
-
-    // if using single GPU mode, remove all except the main GPU
-    if (params.split_mode == LLAMA_SPLIT_MODE_NONE) {
-        if (params.main_gpu < 0) {
-            model->devices.clear();
-        } else {
-            if (params.main_gpu >= (int)model->devices.size()) {
-                LLAMA_LOG_ERROR("%s: invalid value for main_gpu: %d (available devices: %zu)\n", __func__, params.main_gpu, model->devices.size());
-                llama_model_free(model);
-                return nullptr;
-            }
-            ggml_backend_dev_t main_gpu = model->devices[params.main_gpu];
-            model->devices.clear();
-            model->devices.push_back(main_gpu);
-        }
-    }
-
-    for (auto * dev : model->devices) {
-        ggml_backend_dev_props props;
-        ggml_backend_dev_get_props(dev, &props);
-        LLAMA_LOG_INFO("%s: using device %s (%s) (%s) - %zu MiB free\n", __func__,
-                ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
-                props.device_id ? props.device_id : "unknown id",
-                props.memory_free/1024/1024);
-    }
-
-    const int status = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, file, *model, params);
+    const auto [status, model] = llama_model_load(metadata, set_tensor_data, set_tensor_data_ud, path_model, splits, file, params);
     GGML_ASSERT(status <= 0);
     if (status < 0) {
         if (status == -1) {
@@ -1036,7 +392,9 @@ static struct llama_model * llama_model_load_from_file_impl(
             LLAMA_LOG_INFO("%s: cancelled model load\n", __func__);
         }
 
-        llama_model_free(model);
+        if (model) {
+            llama_model_free(model);
+        }
         return nullptr;
     }
 
diff --git a/src/models/afmoe.cpp b/src/models/afmoe.cpp
index 9aabe25c9..602e3176a 100644
--- a/src/models/afmoe.cpp
+++ b/src/models/afmoe.cpp
@@ -1,6 +1,112 @@
 #include "models.h"
 
-llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_afmoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
+
+    // Set up interleaved sliding window attention (ISWA)
+    // Pattern: 3 sliding - 1 full (global_attn_every_n_layers = 4)
+    if (hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        uint32_t swa_period = 4;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+
+        hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+        hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    } else {
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    }
+
+    // Default to sigmoid if not set
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+    }
+
+    switch (hparams.n_layer) {
+        case 56: type = LLM_TYPE_6B; break;
+        case 32: type = LLM_TYPE_26B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_afmoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    const int64_t n_ff_exp = hparams.n_ff_exp;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        // dual attention normalization
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), {n_embd}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        // attention projections
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // Q/K normalization
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        // attention gating
+        layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
+
+        // dual ffn normalization
+        layer.ffn_norm      = create_tensor(tn(LLM_TENSOR_FFN_NORM,      "weight", i), {n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        if (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) {
+            // MoE layers
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
+
+            // grouped expert weights
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
+
+            // shared expert
+            if (n_expert_shared > 0) {
+                const int64_t n_ff_shexp = n_ff_exp * n_expert_shared;
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
+            }
+        } else {
+            // Dense layers
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_afmoe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_afmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -41,22 +147,13 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
         {
             ggml_tensor * attn_inp = cur;  // save input for gate computation
 
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // compute gate from input
             ggml_tensor * gate = build_lora_mm(model.layers[il].wqkv_gate, attn_inp);
             cb(gate, "attn_gate_proj", il);
 
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-
             // Q/K normalization
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -77,10 +174,8 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
                 cb(Kcur, "Kcur_rope", il);
             }
 
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             cur = build_attn(inp_attn,
-                    NULL, NULL,  // wo will be applied after gating
+                    NULL, NULL, NULL,  // wo will be applied after gating
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
 
@@ -91,7 +186,7 @@ llm_build_afmoe::llm_build_afmoe(const llama_model & model, const llm_graph_para
             cb(cur, "attn_gated", il);
 
             // now apply output projection
-            cur = build_lora_mm(model.layers[il].wo, cur);
+            cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
             cb(cur, "attn_o_proj", il);
         }
 
diff --git a/src/models/apertus.cpp b/src/models/apertus.cpp
index 4d65614e4..136ff7029 100644
--- a/src/models/apertus.cpp
+++ b/src/models/apertus.cpp
@@ -1,8 +1,62 @@
 #include "models.h"
 
+void llama_model_apertus::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_N,        hparams.xielu_alpha_n, hparams.n_layer);
+    ml.get_key_or_arr(LLM_KV_XIELU_ALPHA_P,        hparams.xielu_alpha_p, hparams.n_layer);
+    ml.get_key_or_arr(LLM_KV_XIELU_BETA,           hparams.xielu_beta,    hparams.n_layer);
+    ml.get_key_or_arr(LLM_KV_XIELU_EPS,            hparams.xielu_eps,     hparams.n_layer);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_8B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_apertus::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), { n_embd, n_vocab }, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        } else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
 
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
 
-llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
+        layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
+
+        // Q and K layernorms for Apertus
+        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
+        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), { n_embd_head_k }, TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
+        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), { n_embd_head_k }, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_apertus::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_apertus::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -32,25 +86,15 @@ llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
 
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
             cb(Kcur, "Kcur_normed", il);
 
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
 
@@ -62,7 +106,7 @@ llm_build_apertus::llm_build_apertus(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur_pos", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/arcee.cpp b/src/models/arcee.cpp
index 20b9ffd49..70e86d411 100644
--- a/src/models/arcee.cpp
+++ b/src/models/arcee.cpp
@@ -1,7 +1,51 @@
 #include "models.h"
 
+void llama_model_arcee::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
 
-llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    // Arcee uses the same structure as Llama
+    switch (hparams.n_layer) {
+        case 36: type = LLM_TYPE_4B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_arcee::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_arcee::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_arcee::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -36,30 +80,8 @@ llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_para
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -78,7 +100,7 @@ llm_build_arcee::llm_build_arcee(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/arctic.cpp b/src/models/arctic.cpp
index b712e08cb..d8653a446 100644
--- a/src/models/arctic.cpp
+++ b/src/models/arctic.cpp
@@ -1,6 +1,59 @@
 #include "models.h"
 
-llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_arctic::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    if (hparams.n_expert == 128) {
+        switch (hparams.n_layer) {
+            case 35: type = LLM_TYPE_10B_128x3_66B; break;
+            default: type = LLM_TYPE_UNKNOWN;
+        }
+    } else {
+        type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_arctic::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_embd}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_embd, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+        layer.ffn_norm_exps = create_tensor(tn(LLM_TENSOR_FFN_NORM_EXPS, "weight", i), {n_embd}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, false);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_arctic::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_arctic::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +83,8 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +103,7 @@ llm_build_arctic::llm_build_arctic(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/arwkv7.cpp b/src/models/arwkv7.cpp
index 107a3bef8..79aa8c908 100644
--- a/src/models/arwkv7.cpp
+++ b/src/models/arwkv7.cpp
@@ -1,7 +1,123 @@
 #include "models.h"
 
+void llama_model_arwkv7::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,                hparams.f_norm_eps, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,            hparams.f_norm_rms_eps, false);
+    ml.get_key(LLM_KV_WKV_HEAD_SIZE,                          hparams.wkv_head_size);
+    ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK,              hparams.n_lora_decay);
+    ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK,               hparams.n_lora_iclr);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix);
+    ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK,               hparams.n_lora_gate, false);
+    ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,                      hparams.token_shift_count, false);
+
+    switch (hparams.n_layer) {
+        case 12:
+            switch (hparams.n_embd) {
+                case 768: type = LLM_TYPE_190M; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 24:
+            switch (hparams.n_embd) {
+                case 1024: type = LLM_TYPE_450M; break;
+                case 2048: type = LLM_TYPE_1_5B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 28:
+            switch (hparams.n_embd) {
+                case 1536: type = LLM_TYPE_1_5B; break;
+                case 3584: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 32:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_2_9B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 61:
+            switch (hparams.n_embd) {
+                case 4096: type = LLM_TYPE_14B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_arwkv7::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
+
+    const int n_lora_decay = hparams.n_lora_decay;
+    const int n_lora_iclr = hparams.n_lora_iclr;
+    const int n_lora_value_res_mix = hparams.n_lora_value_res_mix;
+    const int n_lora_gate = hparams.n_lora_gate;
+    const int attn_hidden_size = n_embd;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0);
+        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0);
+        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0);
+
+        layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0);
+        layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0);
+        layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0);
+
+        if (i == 0) {
+            // actually not used
+            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
+            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0);
+            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0);
+        } else {
+            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
+            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0);
+            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0);
+        }
+
+        layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, TENSOR_NOT_REQUIRED);
+
+        try {
+            layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0);
+        } catch(std::runtime_error & e) {
+            // ARWKV models may not have gate tensors
+            layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0);
+        }
+
+        layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0);
+        layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0);
+        layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0);
+
+        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
+
+        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+
+}
+
+std::unique_ptr<llm_graph_context> llama_model_arwkv7::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
 
-llm_build_arwkv7::llm_build_arwkv7(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) {
+llama_model_arwkv7::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) {
     GGML_ASSERT(n_embd == hparams.n_embd_r());
 
     ggml_tensor * cur;
diff --git a/src/models/baichuan.cpp b/src/models/baichuan.cpp
index abd03cd0b..4e55290e4 100644
--- a/src/models/baichuan.cpp
+++ b/src/models/baichuan.cpp
@@ -1,7 +1,49 @@
 #include "models.h"
 
+void llama_model_baichuan::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_13B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    if (type == LLM_TYPE_13B) {
+        // TODO: become GGUF KV parameter
+        hparams.f_max_alibi_bias = 8.0f;
+    }
+}
+
+void llama_model_baichuan::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+    {
+        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
-llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_baichuan::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_baichuan::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -29,18 +71,8 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             switch (model.type) {
                 case LLM_TYPE_7B:
@@ -67,7 +99,7 @@ llm_build_baichuan::llm_build_baichuan(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/bailingmoe.cpp b/src/models/bailingmoe.cpp
index 25e3369c3..030dd4f42 100644
--- a/src/models/bailingmoe.cpp
+++ b/src/models/bailingmoe.cpp
@@ -1,6 +1,65 @@
 #include "models.h"
 
-llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_bailingmoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+
+    switch (hparams.n_layer) {
+        case 28: type = LLM_TYPE_16B; break;
+        case 88: type = LLM_TYPE_290B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_bailingmoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    const int64_t n_ff_exp            = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0");
+        }
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_bailingmoe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_bailingmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -28,30 +87,8 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_rot, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head_k, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -70,7 +107,7 @@ llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_rot)), il);
         }
 
diff --git a/src/models/bailingmoe2.cpp b/src/models/bailingmoe2.cpp
index 420986246..e7fe3d5b4 100644
--- a/src/models/bailingmoe2.cpp
+++ b/src/models/bailingmoe2.cpp
@@ -1,9 +1,102 @@
 #include "models.h"
 
-llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params) :
+void llama_model_bailingmoe2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+
+    // TODO: when MTP is implemented, this should probably be updated if needed
+    hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+    switch (hparams.n_layer) {
+        case 20: type = LLM_TYPE_16B_A1B; break;
+        case 21: type = LLM_TYPE_16B_A1B; break;
+        case 32: type = LLM_TYPE_100B_A6B; break;
+        case 33: type = LLM_TYPE_100B_A6B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_bailingmoe2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for bailingmoe2");
+    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for bailingmoe2");
+
+    for (int i = 0; i < n_layer; ++i) {
+        int flags = 0;
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            // skip all tensors in the NextN layers
+            flags |= TENSOR_SKIP;
+        }
+
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, flags);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
+
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
+
+        if (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) { // MoE layers
+            const int64_t n_ff_shexp = (hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff_exp) * n_expert_shared;
+
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags);
+
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, flags);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, flags);
+        } else { // Dense layers
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, flags);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, flags);
+        }
+
+        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags);
+            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED | flags);
+            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, TENSOR_NOT_REQUIRED | flags);
+            layer.layer_out_norm         = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, flags);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_bailingmoe2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_bailingmoe2::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -29,15 +122,8 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll
 
         // self_attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 0 * sizeof(float) * (n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -56,7 +142,7 @@ llm_build_bailingmoe2::llm_build_bailingmoe2(const llama_model & model, const ll
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/bert.cpp b/src/models/bert.cpp
index 6ab8c1368..3c28f419c 100644
--- a/src/models/bert.cpp
+++ b/src/models/bert.cpp
@@ -1,8 +1,84 @@
 #include "models.h"
 
-llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_bert::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 3:
+            type = LLM_TYPE_17M; break; // bge-micro
+        case 6:
+            type = LLM_TYPE_22M; break; // MiniLM-L6
+        case 12:
+            switch (hparams.n_embd) {
+                case 384: type = LLM_TYPE_33M; break; // MiniLM-L12, bge-small
+                case 768: type = LLM_TYPE_109M; break; // bge-base
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 24:
+            type = LLM_TYPE_335M; break; // bge-large
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_bert::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_token_types == 0) {
+        throw std::runtime_error(arch_name() + " model needs to define token type count");
+    }
+    tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
+    type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
+
+    if (arch == LLM_ARCH_BERT) {
+        pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train}, 0);
+
+        cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+        cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
+
+        cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+        cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+    }
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
+
+        if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) {
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff,   n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff,   n_embd, n_expert}, 0);
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,   "weight", i), {n_embd, n_expert}, 0);
+        } else {
+            layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+            if (arch == LLM_ARCH_NOMIC_BERT) {
+                layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            }
+        }
+
+        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i),   {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_bert::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -39,35 +115,8 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
         ggml_tensor * cur = inpL;
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            // self-attention
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float), cur->nb[1],
-                                    0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-            } else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, cur), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, cur), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, cur), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = ggml_reshape_2d(ctx0, Qcur, n_embd_head * n_head, n_tokens);
@@ -100,7 +149,7 @@ llm_build_bert::llm_build_bert(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/bitnet.cpp b/src/models/bitnet.cpp
index 9f41b7d82..7e8125dee 100644
--- a/src/models/bitnet.cpp
+++ b/src/models/bitnet.cpp
@@ -1,7 +1,54 @@
 #include "models.h"
 
+void llama_model_bitnet::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
 
-llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    switch (hparams.n_layer) {
+        case 26: type = LLM_TYPE_3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_bitnet::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm     = create_tensor(tn(LLM_TENSOR_ATTN_NORM,     "weight", i), {n_embd}, 0);
+        layer.attn_sub_norm = create_tensor(tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wq       = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd}, 0);
+        layer.wq_s     = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+        layer.wk       = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_gqa}, 0);
+        layer.wk_s     = create_tensor(tn(LLM_TENSOR_ATTN_K,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+        layer.wv       = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_gqa}, 0);
+        layer.wv_s     = create_tensor(tn(LLM_TENSOR_ATTN_V,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+        layer.wo       = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_s     = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm     = create_tensor(tn(LLM_TENSOR_FFN_NORM,     "weight", i), {n_embd}, 0);
+        layer.ffn_sub_norm = create_tensor(tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff}, 0);
+
+        layer.ffn_gate       = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_gate_s = create_tensor(tn(LLM_TENSOR_FFN_GATE, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down       = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_s = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up         = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_s   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "scale",  i), {1}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_bitnet::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_bitnet::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -28,33 +75,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            // B1.K
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            // B1.V
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -73,7 +95,7 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    NULL, NULL,
+                    NULL, NULL, NULL,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
 
             cur = build_norm(cur,
@@ -82,8 +104,8 @@ llm_build_bitnet::llm_build_bitnet(const llama_model & model, const llm_graph_pa
             cb(cur, "attn_sub_norm", il);
 
             cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
-            if (model.layers[il].bo) {
-                cur = ggml_add(ctx0, cur, model.layers[il].bo);
+            if (model.layers[il].wo_b) {
+                cur = ggml_add(ctx0, cur, model.layers[il].wo_b);
             }
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/bloom.cpp b/src/models/bloom.cpp
index aa4b939b7..b600fb0c9 100644
--- a/src/models/bloom.cpp
+++ b/src/models/bloom.cpp
@@ -1,8 +1,69 @@
 #include "models.h"
 
-llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_bloom::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1B; break;
+        case 30:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_3B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // TODO: become GGUF KV parameter
+    hparams.f_max_alibi_bias = 8.0f;
+}
+
+void llama_model_bloom::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias",   i), {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_bloom::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_bloom::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -30,22 +91,11 @@ llm_build_bloom::llm_build_bloom(const llama_model & model, const llm_graph_para
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/chameleon.cpp b/src/models/chameleon.cpp
index 2f24105fa..8510b9e29 100644
--- a/src/models/chameleon.cpp
+++ b/src/models/chameleon.cpp
@@ -1,8 +1,56 @@
 #include "models.h"
-
 #include <float.h>
 
-llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_chameleon::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    hparams.f_norm_eps = 1e-5;  // eps for qk-norm, torch default
+    ml.get_key(LLM_KV_SWIN_NORM, hparams.swin_norm, false);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 48: type = LLM_TYPE_34B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+}
+
+void llama_model_chameleon::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0);
+        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias", i),  {n_embd_head_k, n_head}, TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias", i),  {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_chameleon::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_chameleon::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -36,22 +84,10 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
-                Qcur = ggml_view_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens,
-                        ggml_element_size(Qcur) * n_embd_head,
-                        ggml_element_size(Qcur) * n_embd_head * n_head,
-                        0);
-                cb(Qcur, "Qcur", il);
-
                 Qcur = build_norm(Qcur,
                         model.layers[il].attn_q_norm,
                         model.layers[il].attn_q_norm_b,
@@ -60,12 +96,6 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
             }
 
             if (model.layers[il].attn_k_norm) {
-                Kcur = ggml_view_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens,
-                        ggml_element_size(Kcur) * n_embd_head,
-                        ggml_element_size(Kcur) * n_embd_head * n_head_kv,
-                        0);
-                cb(Kcur, "Kcur", il);
-
                 Kcur = build_norm(Kcur,
                         model.layers[il].attn_k_norm,
                         model.layers[il].attn_k_norm_b,
@@ -73,10 +103,6 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
                 cb(Kcur, "Kcur", il);
             }
 
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -94,7 +120,7 @@ llm_build_chameleon::llm_build_chameleon(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/chatglm.cpp b/src/models/chatglm.cpp
index cd11581a5..e898eff79 100644
--- a/src/models/chatglm.cpp
+++ b/src/models/chatglm.cpp
@@ -1,9 +1,61 @@
 #include "models.h"
 
+void llama_model_chatglm::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 28: {
+            if (hparams.n_head(0) == 16) {
+                type = LLM_TYPE_1_5B;
+            } else {
+                type = LLM_TYPE_6B;
+            }
+        } break;
+        case 40: {
+            if (hparams.n_head(0) == 24) {
+                type = LLM_TYPE_4B;
+            } else {
+                type = LLM_TYPE_9B;
+            }
+        } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_chatglm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,      "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
 
-llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_chatglm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_chatglm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -30,37 +82,8 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv == nullptr) {
-                Qcur = build_lora_mm(model.layers[il].wq, cur);
-                if (model.layers[il].bq) {
-                    Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                }
-                Kcur = build_lora_mm(model.layers[il].wk, cur);
-                if (model.layers[il].bk) {
-                    Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                }
-                Vcur = build_lora_mm(model.layers[il].wv, cur);
-                if (model.layers[il].bv) {
-                    Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                }
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            } else {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             //printf("freq_base: %f freq_scale: %f ext_factor: %f attn_factor: %f\n", freq_base, freq_scale, ext_factor, attn_factor);
             Qcur = ggml_rope_ext(
@@ -80,7 +103,7 @@ llm_build_chatglm::llm_build_chatglm(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/codeshell.cpp b/src/models/codeshell.cpp
index e8e13e143..e9e85d967 100644
--- a/src/models/codeshell.cpp
+++ b/src/models/codeshell.cpp
@@ -1,8 +1,56 @@
 #include "models.h"
 
-llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_codeshell::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 42: type = LLM_TYPE_7B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_codeshell::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if tok embd is NULL, init from output
+    if (tok_embd == NULL) {
+        tok_embd = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i),   {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i),     {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_codeshell::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_codeshell::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -28,15 +76,8 @@ llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_gr
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -55,7 +96,7 @@ llm_build_codeshell::llm_build_codeshell(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/cogvlm.cpp b/src/models/cogvlm.cpp
index fa7a54ba1..79236121b 100644
--- a/src/models/cogvlm.cpp
+++ b/src/models/cogvlm.cpp
@@ -1,6 +1,55 @@
 #include "models.h"
 
-llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_params & params) :
+void llama_model_cogvlm::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_13B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_cogvlm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.visexp_attn_wqkv = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_QKV, "weight", i), {n_embd, n_embd_head_k * n_head * 3}, 0);
+        layer.visexp_attn_wo = create_tensor(tn(LLM_TENSOR_VISEXP_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+        layer.visexp_ffn_gate = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.visexp_ffn_down = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.visexp_ffn_up   = create_tensor(tn(LLM_TENSOR_VISEXP_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_cogvlm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_cogvlm::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
     const float   kq_scale    = 1.0f / sqrtf(float(n_embd_head));
@@ -28,18 +77,20 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_pa
 
     for (int il = 0; il < n_layer; ++il) {
         // get either the text or image weight tensors
-        ggml_tensor *wqkv, *wo;
+        ggml_tensor *wqkv, *wo, *wo_s;
         ggml_tensor *ffn_gate, *ffn_down, *ffn_up;
 
         if (is_text) {
             wqkv     = model.layers[il].wqkv;
             wo       = model.layers[il].wo;
+            wo_s     = model.layers[il].wo_s;
             ffn_gate = model.layers[il].ffn_gate;
             ffn_down = model.layers[il].ffn_down;
             ffn_up   = model.layers[il].ffn_up;
         } else {
             wqkv     = model.layers[il].visexp_attn_wqkv;
             wo       = model.layers[il].visexp_attn_wo;
+            wo_s     = nullptr;
             ffn_gate = model.layers[il].visexp_ffn_gate;
             ffn_down = model.layers[il].visexp_ffn_down;
             ffn_up   = model.layers[il].visexp_ffn_up;
@@ -64,7 +115,7 @@ llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_pa
             Kcur = ggml_rope(ctx0, Kcur, inp_pos, n_embd_head, rope_type);
 
             cur = build_attn(inp_attn,
-                wo, nullptr,
+                wo, nullptr, wo_s,
                 Qcur, Kcur, Vcur,
                 nullptr, nullptr, nullptr,
                 kq_scale, il);
diff --git a/src/models/cohere2-iswa.cpp b/src/models/cohere2.cpp
similarity index 56%
rename from src/models/cohere2-iswa.cpp
rename to src/models/cohere2.cpp
index 7c71a59ae..12edbae10 100644
--- a/src/models/cohere2-iswa.cpp
+++ b/src/models/cohere2.cpp
@@ -1,6 +1,53 @@
 #include "models.h"
 
-llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_cohere2::load_arch_hparams(llama_model_loader & ml) {
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    uint32_t swa_period = 4;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.set_swa_pattern(swa_period);
+    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,       hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
+    ml.get_key(LLM_KV_LOGIT_SCALE,              hparams.f_logit_scale);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,  hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_8B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_cohere2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    // init output from the input tok embed
+    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab },
+                                      TENSOR_DUPLICATED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_cohere2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_cohere2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -36,30 +83,8 @@ llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (is_swa) {
                 Qcur = ggml_rope_ext(
@@ -80,7 +105,7 @@ llm_build_cohere2_iswa::llm_build_cohere2_iswa(const llama_model & model, const
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/command-r.cpp b/src/models/command-r.cpp
index ba1230f04..decb89f54 100644
--- a/src/models/command-r.cpp
+++ b/src/models/command-r.cpp
@@ -1,8 +1,48 @@
 #include "models.h"
 
+void llama_model_command_r::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_LOGIT_SCALE,             hparams.f_logit_scale, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 40: type = LLM_TYPE_35B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_command_r::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // init output from the input tok embed
+    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (n_layer >= 64){
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head}, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, 0);
+        }
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
 
+std::unique_ptr<llm_graph_context> llama_model_command_r::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
 
-llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_graph_params & params) :
+llama_model_command_r::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -32,27 +72,8 @@ llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM, il);
@@ -73,7 +94,7 @@ llm_build_command_r::llm_build_command_r(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/dbrx.cpp b/src/models/dbrx.cpp
index 73eb5cd24..bce6b04bc 100644
--- a/src/models/dbrx.cpp
+++ b/src/models/dbrx.cpp
@@ -1,8 +1,51 @@
 #include "models.h"
 
-llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_dbrx::load_arch_hparams(llama_model_loader & ml) {
+ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,     hparams.f_clamp_kqv);
+
+switch (hparams.n_layer) {
+    case 40: type = LLM_TYPE_16x12B; break;
+    default: type = LLM_TYPE_UNKNOWN;
+}
+        }
+
+void llama_model_dbrx::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_expert == 0) {
+        throw std::runtime_error("DBRX model cannot have zero experts");
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.attn_out_norm = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_dbrx::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_dbrx::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -30,19 +73,8 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_clamp(ctx0, cur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-            cb(cur, "wqkv_clamped", il);
-
-            Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -61,7 +93,7 @@ llm_build_dbrx::llm_build_dbrx(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/deci.cpp b/src/models/deci.cpp
index ac448bfca..9f1a959c3 100644
--- a/src/models/deci.cpp
+++ b/src/models/deci.cpp
@@ -1,8 +1,82 @@
 #include "models.h"
 
+void llama_model_deci::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 80: type = LLM_TYPE_70B; break;
+        case 162: type = LLM_TYPE_405B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_deci::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        const int64_t n_embd_k_gqa  = hparams.n_embd_k_gqa(i);
+        const int64_t n_embd_v_gqa  = hparams.n_embd_v_gqa(i);
+        const int64_t n_ff          = hparams.n_ff(i);
+        const int64_t n_head        = hparams.n_head(i);
+        const int64_t n_head_kv     = hparams.n_head_kv(i);
+
+        if (n_head_kv == 0 && n_head > 0) {
+            // linear attention for DeciLMCausalModel
+            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        }
+        else if (n_head_kv > 0) {
+            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+        }
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        if (n_ff > 0) {
+            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        }
 
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
 
-llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        if (n_ff > 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        }
+
+        // optional MLP bias
+        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_deci::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_deci::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -47,27 +121,8 @@ llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -80,7 +135,7 @@ llm_build_deci::llm_build_deci(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/deepseek.cpp b/src/models/deepseek.cpp
index 3432359e0..c79460596 100644
--- a/src/models/deepseek.cpp
+++ b/src/models/deepseek.cpp
@@ -1,6 +1,77 @@
 #include "models.h"
 
-llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_graph_params & params) :
+void llama_model_deepseek::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+
+    switch (hparams.n_ff_exp) {
+        case 1408: type = LLM_TYPE_16B; break;
+        case 1792: type = LLM_TYPE_20B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_deepseek::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // try to load output.weight, if not found, use token_embd (tied embeddings)
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (i < (int) hparams.n_layer_dense_lead) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        } else {
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            // MoE branch
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+            // Shared expert branch
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_deepseek::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_deepseek::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -35,27 +106,8 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -68,7 +120,7 @@ llm_build_deepseek::llm_build_deepseek(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/deepseek2.cpp b/src/models/deepseek2.cpp
index ef9c8420e..53574df46 100644
--- a/src/models/deepseek2.cpp
+++ b/src/models/deepseek2.cpp
@@ -1,6 +1,148 @@
 #include "models.h"
 
-llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_graph_params & params) :
+void llama_model_deepseek2::load_arch_hparams(llama_model_loader & ml) {
+    const auto n_vocab = vocab.n_tokens();
+
+    // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B, Kanana-2-30B-A3B
+    const bool is_lite = (hparams.n_layer == 27 || hparams.n_layer == 26 || (hparams.n_layer == 48 && n_vocab == 128256));
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    if (!is_lite) {
+        ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK, hparams.n_lora_q);
+    }
+    ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,     hparams.n_lora_kv);
+    ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   hparams.n_embd_head_k_mla_impl, false);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,        hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,       hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,        hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,         hparams.expert_gating_func, false);
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        // for compatibility with existing DeepSeek V2 and V2.5 GGUFs
+        // that have no expert_gating_func model parameter set
+        if ((hparams.n_layer == 47 || hparams.n_layer == 48) && n_vocab == 154880) {
+            // GLM 4.7 Lite
+            hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+        } else {
+            hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX;
+        }
+    }
+
+    if (ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL, hparams.rope_yarn_log_mul, false)) {
+        // [TAG_DEEPSEEK2_YARN_LOG_MUL_FIX]
+        // cancel the factor from the convert script
+        hparams.rope_yarn_log_mul /= 0.1f;
+    }
+
+    // (optional) temperature tuning - used by mistral-large
+    ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE,  hparams.f_attn_temp_scale,       false);
+    ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH, hparams.n_attn_temp_floor_scale, false); // FIXME why not use temperature_length?
+
+    hparams.f_attn_temp_offset = 0.0f;
+
+    switch (hparams.n_layer) {
+        case 27: type = LLM_TYPE_16B; break;
+        case 47: type = LLM_TYPE_30B_A3B; break;
+        case 60: type = LLM_TYPE_236B; break;
+        case 61: type = LLM_TYPE_671B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_deepseek2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    const bool is_mla = hparams.is_mla();
+
+    // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
+    const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
+    const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
+
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+    const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
+    GGML_ASSERT(n_embd_head_qk_nope >= 1);
+
+    const int64_t q_lora_rank  = hparams.n_lora_q;
+    const int64_t kv_lora_rank = hparams.n_lora_kv;
+
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // try to load output.weight, if not found, use token_embd (tied embeddings)
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        if (q_lora_rank > 0) {
+            layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0);
+        }
+
+        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
+
+        if (q_lora_rank > 0) {
+            layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
+            layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0);
+        } else {
+            layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0);
+        }
+
+        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, 0);
+
+        // note: only old legacy GGUF files will have the unsplit wkv_b tensor in
+        if (is_mla) {
+            layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, 0);
+            layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0);
+        } else {
+            layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v_mla)}, 0);
+        }
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (i < (int) hparams.n_layer_dense_lead) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        } else {
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            // MoE branch
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
+
+            // Shared expert branch
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_deepseek2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_deepseek2::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     // lite variants include DeepSeek-V2-Lite, GigaChat3-10B-A1.8B
     bool is_ocr = model.arch == LLM_ARCH_DEEPSEEK2OCR;
@@ -84,7 +226,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
             cb(Kcur, "k_pe", il);
 
             cur = build_attn(inp_attn_kv,
-                        model.layers[il].wo, NULL,
+                        model.layers[il].wo, NULL, model.layers[il].wo_s,
                         Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
@@ -182,7 +324,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
 
                 // note: MLA with the absorption optimization converts into MQA (ie: GQA with 1 group)
                 cur = build_attn(inp_attn_k,
-                        model.layers[il].wo, NULL,
+                        model.layers[il].wo, NULL, model.layers[il].wo_s,
                         Qcur, Kcur, Vcur, nullptr, nullptr, model.layers[il].wv_b, kq_scale, il);
             } else {
                 ggml_tensor * kv = ggml_mul_mat(ctx0, model.layers[il].wkv_b, kv_cmpr);
@@ -219,7 +361,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
 
                 // note: MLA without the absorption optimization converts into MHA (ie: GQA with full n_head groups)
                 cur = build_attn(inp_attn_kv,
-                            model.layers[il].wo, NULL,
+                            model.layers[il].wo, NULL, model.layers[il].wo_s,
                             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             }
         }
diff --git a/src/models/deepseek2ocr.cpp b/src/models/deepseek2ocr.cpp
new file mode 100644
index 000000000..f9e4c9878
--- /dev/null
+++ b/src/models/deepseek2ocr.cpp
@@ -0,0 +1,82 @@
+#include "models.h"
+
+void llama_model_deepseek2ocr::load_arch_hparams(llama_model_loader & ml) {
+    // similar to deepseek2, but without MLA
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX;
+    }
+
+    switch (hparams.n_layer) {
+        case 12: type = LLM_TYPE_3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_deepseek2ocr::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    // similar to deepseek2, but without MLA
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // try to load output.weight, if not found, use token_embd (tied embeddings)
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd}, 0);
+        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd}, 0);
+        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        // norm
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (i < (int) hparams.n_layer_dense_lead) {
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        } else {
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            // MoE branch
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+            create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
+
+            // Shared expert branch
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_deepseek2ocr::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/dots1.cpp b/src/models/dots1.cpp
index 07236dd27..93cbcf9d9 100644
--- a/src/models/dots1.cpp
+++ b/src/models/dots1.cpp
@@ -1,6 +1,76 @@
 #include "models.h"
 
-llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) :
+void llama_model_dots1::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+    switch (hparams.n_layer) {
+        case 62: type = LLM_TYPE_142B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_dots1::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_head_k * n_head, n_embd_head_k * n_head, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (i < (int) hparams.n_layer_dense_lead) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        } else {
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            // MoE branch
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+            // Shared expert branch
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, 0);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_dots1::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_dots1::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -29,18 +99,8 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -59,7 +119,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/dream.cpp b/src/models/dream.cpp
index 4edc8530c..60a3f0ec2 100644
--- a/src/models/dream.cpp
+++ b/src/models/dream.cpp
@@ -1,8 +1,54 @@
 #include "models.h"
 
+void llama_model_dream::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // Dream models are primarily 7B with 28 layers
+    switch (hparams.n_layer) {
+        case 28:
+            type = LLM_TYPE_7B;
+            break;
+        default:
+            type = LLM_TYPE_UNKNOWN;
+    }
+    // Set non-causal attention for diffusion models
+    hparams.causal_attn = false;
+}
+
+void llama_model_dream::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    output_b    = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
 
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
 
-llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_params & params) :
+std::unique_ptr<llm_graph_context> llama_model_dream::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_dream::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     //copied from qwen2
     const int64_t n_embd_head = hparams.n_embd_head_v();
@@ -31,22 +77,8 @@ llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_para
 
         // self-attention
         {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur               = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur               = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur               = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -59,7 +91,7 @@ llm_build_dream::llm_build_dream(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/ernie4-5-moe.cpp b/src/models/ernie4-5-moe.cpp
index 63baf152c..2bd01a2c5 100644
--- a/src/models/ernie4-5-moe.cpp
+++ b/src/models/ernie4-5-moe.cpp
@@ -1,6 +1,10 @@
 #include "models.h"
 
-llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params) :
+std::unique_ptr<llm_graph_context> llama_model_ernie4_5_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_ernie4_5_moe::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -30,27 +34,8 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -63,7 +48,7 @@ llm_build_ernie4_5_moe::llm_build_ernie4_5_moe(const llama_model & model, const
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/ernie4-5.cpp b/src/models/ernie4-5.cpp
index d548de054..fa989fe92 100644
--- a/src/models/ernie4-5.cpp
+++ b/src/models/ernie4-5.cpp
@@ -1,6 +1,79 @@
 #include "models.h"
 
-llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params) :
+void llama_model_ernie4_5::load_arch_hparams(llama_model_loader & ml) {
+    // paddleocr need mrope_section
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    if (arch == LLM_ARCH_ERNIE4_5_MOE) {
+        ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+        ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+        ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,         hparams.n_moe_layer_step);
+        ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
+    }
+
+    switch (hparams.n_layer) {
+        case 18: type = LLM_TYPE_0_3B; break;
+        case 28: type = LLM_TYPE_21B_A3B; break;
+        case 54: type = LLM_TYPE_300B_A47B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_ernie4_5::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (arch == LLM_ARCH_ERNIE4_5_MOE && static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead) { // MoE layers
+            int n_ff_exp = hparams.n_ff_exp;
+
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff_exp, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
+
+            // Shared expert (if present)
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd    }, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, hparams.n_ff_shexp}, 0);
+            }
+        } else { // Dense layers
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_ernie4_5::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_ernie4_5::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -29,27 +102,8 @@ llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_grap
         }
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -62,7 +116,7 @@ llm_build_ernie4_5::llm_build_ernie4_5(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1) {
diff --git a/src/models/eurobert.cpp b/src/models/eurobert.cpp
index 4ca9af873..ddf13c302 100644
--- a/src/models/eurobert.cpp
+++ b/src/models/eurobert.cpp
@@ -1,6 +1,41 @@
 #include "models.h"
 
-llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_eurobert::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    if (hparams.n_layer == 12) {
+        type = LLM_TYPE_SMALL;  // 0.2B
+    }
+}
+
+void llama_model_eurobert::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_eurobert::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_eurobert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -24,17 +59,8 @@ llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_grap
                 LLM_NORM_RMS, il);
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -53,7 +79,7 @@ llm_build_eurobert::llm_build_eurobert(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/exaone-moe.cpp b/src/models/exaone-moe.cpp
index ea75701c5..54bb3ca86 100644
--- a/src/models/exaone-moe.cpp
+++ b/src/models/exaone-moe.cpp
@@ -1,6 +1,117 @@
 #include "models.h"
 
-llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params) :
+void llama_model_exaone_moe::load_arch_hparams(llama_model_loader & ml) {
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    hparams.n_swa = 128;
+    uint32_t swa_period = 4;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.set_swa_pattern(swa_period);
+    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,                hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,          hparams.n_swa);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
+
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,              hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_30B_A3B; break;
+        case 48:
+        case 49: type = LLM_TYPE_235B_A22B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_exaone_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_ff_exp       = hparams.n_ff_exp;
+    const int64_t n_ff_shexp     = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : n_ff_exp;
+    const int64_t head_dim       = hparams.n_embd_head_k();
+    const int64_t n_qo_dim       = n_head * head_dim;
+    const int64_t n_kv_dim       = n_head_kv * head_dim;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        int flags = 0;
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            // skip all tensors in the NextN layers
+            flags |= TENSOR_SKIP;
+        }
+
+        auto & layer = layers[i];
+        create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, flags);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, flags);
+
+        layer.rope_freqs   = create_tensor(tn(LLM_TENSOR_ROPE_FREQS,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0) | flags);
+
+        layer.attn_norm    = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, flags);
+        layer.attn_q_norm  = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, flags);
+        layer.attn_k_norm  = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, flags);
+
+        layer.ffn_norm     = create_tensor(tn(LLM_TENSOR_FFN_NORM,    "weight", i), {n_embd}, flags);
+
+        // dense layers for first n_layer_dense_lead layers or nextn_predict_layers layers at the end
+        if (i < (int) hparams.n_layer_dense_lead || (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers)) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, flags);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, flags);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, flags);
+        } else {
+            layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, flags);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | flags);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            layer.ffn_gate_exps  = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS,  "weight", i), {n_embd, n_ff_exp, n_expert}, flags);
+            layer.ffn_down_exps  = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS,  "weight", i), {n_ff_exp, n_embd, n_expert}, flags);
+            layer.ffn_up_exps    = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,    "weight", i), {n_embd, n_ff_exp, n_expert}, flags);
+
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, flags);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, flags);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, flags);
+        }
+
+        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, flags);
+            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM,   "weight", i), {n_embd}, flags);
+            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM,   "weight", i), {n_embd}, flags);
+
+            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), {n_embd}, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS,     "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), {n_embd, n_vocab}, flags | TENSOR_NOT_REQUIRED);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_exaone_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_exaone_moe::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_k();
 
@@ -35,18 +146,8 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -65,7 +166,7 @@ llm_build_exaone_moe::llm_build_exaone_moe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn_iswa,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/exaone.cpp b/src/models/exaone.cpp
index d4eea58e2..75d5f6063 100644
--- a/src/models/exaone.cpp
+++ b/src/models/exaone.cpp
@@ -1,8 +1,49 @@
 #include "models.h"
 
+void llama_model_exaone::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
 
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_8B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_exaone::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
 
-llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_params & params) :
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM,   "weight", i), {n_embd}, 0);
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        layer.ffn_gate   = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN,   "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,     "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_exaone::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_exaone::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -34,27 +75,8 @@ llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_pa
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                  ext_factor, attn_factor, beta_fast, beta_slow);
@@ -67,7 +89,7 @@ llm_build_exaone::llm_build_exaone(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/exaone4.cpp b/src/models/exaone4.cpp
index 755af3b74..5506e7642 100644
--- a/src/models/exaone4.cpp
+++ b/src/models/exaone4.cpp
@@ -1,8 +1,71 @@
 #include "models.h"
 
+void llama_model_exaone4::load_arch_hparams(llama_model_loader & ml) {
+    if (hparams.n_layer == 64) {    // 32B
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        hparams.n_swa = 4096;
+        uint32_t swa_period = 4;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+
+        hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+        hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    }
+
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 30: type = LLM_TYPE_1_2B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_exaone4::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_exaone4::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>>(*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
 
 template <bool iswa>
-llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_graph_params & params) :
+llama_model_exaone4::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_k();
 
@@ -39,18 +102,8 @@ llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_
         {
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -69,7 +122,7 @@ llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
             cb(cur, "attn_out", il);
         }
@@ -119,5 +172,5 @@ llm_build_exaone4<iswa>::llm_build_exaone4(const llama_model & model, const llm_
 }
 
 // Explicit template instantiations
-template struct llm_build_exaone4<false>;
-template struct llm_build_exaone4<true>;
+template struct llama_model_exaone4::graph<false>;
+template struct llama_model_exaone4::graph<true>;
diff --git a/src/models/falcon-h1.cpp b/src/models/falcon-h1.cpp
index ff842d93a..d353befdb 100644
--- a/src/models/falcon-h1.cpp
+++ b/src/models/falcon-h1.cpp
@@ -1,6 +1,115 @@
 #include "models.h"
 
-llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params) :
+void llama_model_falcon_h1::load_arch_hparams(llama_model_loader & ml) {
+    // Common parameters
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    // SSM parameters
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    std::fill(hparams.recurrent_layer_arr.begin(), hparams.recurrent_layer_arr.end(), true);
+
+    switch (hparams.n_layer) {
+        case 36:
+            type = LLM_TYPE_0_5B; break;
+        case 24:
+            type = LLM_TYPE_1_5B; break;
+        case 66:
+            type = LLM_TYPE_1B; break;
+        case 32:
+            type = LLM_TYPE_3B; break;
+        case 44:
+            type = LLM_TYPE_7B; break;
+        case 72:
+            type = LLM_TYPE_34B; break;
+        default:
+            type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_falcon_h1::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    // Common
+    const int64_t hidden_size = hparams.n_embd; // hidden_size
+
+    // mamba2 Mixer SSM params
+    const int64_t ssm_conv_kernel_size  = hparams.ssm_d_conv; // ssm_conv_kernel_size
+    const int64_t ssm_n_groups          = hparams.ssm_n_group; // ssm_n_groups
+    const int64_t ssm_state_size        = hparams.ssm_d_state; // ssm_state_size
+    const int64_t ssm_intermediate_size = hparams.ssm_d_inner; // TODO expand
+    const int64_t ssm_num_heads         = hparams.ssm_dt_rank; // ssm_num_heads
+    const int64_t ssm_conv_dim          = ssm_intermediate_size + 2 * ssm_n_groups * ssm_state_size;
+    const int64_t ssm_projection_size   = ssm_intermediate_size + ssm_conv_dim + ssm_num_heads;
+
+    // attn params
+    const int64_t attn_num_attention_head = hparams.n_head(0); // rename to: attn_num_attention_head
+    const int64_t attn_num_key_value_head = hparams.n_head_kv(0);
+
+    // ffn params
+    const int64_t ffn_intermediate_size = hparams.n_ff(0);
+
+    // embeddings
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, 0);
+
+    // output
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hidden_size, n_vocab}, TENSOR_NOT_REQUIRED);
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {hidden_size}, 0);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hidden_size, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        /*SSM LAYERS*/
+        // ssm in
+        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {hidden_size, ssm_projection_size}, 0);
+        // ssm 1d conv
+        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {ssm_conv_kernel_size, ssm_conv_dim}, 0);
+        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {ssm_conv_dim}, TENSOR_NOT_REQUIRED);
+        // ssm_dt
+        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {ssm_num_heads}, 0);
+        // no "weight" suffix for these
+        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, ssm_num_heads}, 0);
+        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, ssm_num_heads}, 0);
+        // ssm_norm
+        layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {ssm_intermediate_size / ssm_n_groups, ssm_n_groups}, TENSOR_NOT_REQUIRED);
+        // out_proj
+        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {ssm_intermediate_size, hidden_size}, 0);
+
+        /*ATTENTION LAYERS*/
+        // attention layers (with optional bias)
+        create_tensor_qkv(layer, i, hidden_size, n_embd_head_k * attn_num_attention_head, attn_num_key_value_head * n_embd_head_k, attn_num_key_value_head * n_embd_head_v, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * attn_num_attention_head, hidden_size}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {hidden_size}, 0);
+
+
+        // feed forward (w/ optional biases)
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, i), {hidden_size}, 0);
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {hidden_size,   ffn_intermediate_size}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  ffn_intermediate_size, hidden_size}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {hidden_size,   ffn_intermediate_size}, 0);
+
+        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {hidden_size}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {ffn_intermediate_size}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_falcon_h1::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_falcon_h1::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_mamba_base(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -27,19 +136,8 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
         cb(cur, "attn_norm", il);
 
         // self-attention
-        ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-        cb(Qcur, "Qcur", il);
-
-        ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-        cb(Kcur, "Kcur", il);
-
-        ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-        cb(Vcur, "Vcur", il);
-
-        Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-        Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-
-        Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+        auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, hparams.rope_type, n_ctx_orig, freq_base, freq_scale,
                              ext_factor, attn_factor, beta_fast, beta_slow);
@@ -52,7 +150,7 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
         cb(Vcur, "Vcur-post-rope", il);
 
         ggml_tensor * attn_out = build_attn(inp->get_attn(),
-                                    model.layers[il].wo, NULL,
+                                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
         cb(attn_out, "attn_out", il);
 
diff --git a/src/models/falcon.cpp b/src/models/falcon.cpp
index 9fcba5088..75f2cfef5 100644
--- a/src/models/falcon.cpp
+++ b/src/models/falcon.cpp
@@ -1,9 +1,54 @@
 #include "models.h"
 
+void llama_model_falcon::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
 
-llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 60: type = LLM_TYPE_40B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_falcon::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    {
+        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+
+        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        if (!output) {
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU
+        }
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_falcon::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_falcon::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
     GGML_ASSERT(n_embd_head == n_rot);
@@ -42,12 +87,8 @@ llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_pa
                 cur = attn_norm;
             }
 
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // using mode = 2 for neox mode
             Qcur = ggml_rope_ext(
@@ -67,7 +108,7 @@ llm_build_falcon::llm_build_falcon(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/gemma-embedding.cpp b/src/models/gemma-embedding.cpp
index b2499d8e6..4e07f5f2b 100644
--- a/src/models/gemma-embedding.cpp
+++ b/src/models/gemma-embedding.cpp
@@ -1,6 +1,78 @@
 #include "models.h"
 
-llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params) :
+void llama_model_gemma_embedding::load_arch_hparams(llama_model_loader & ml) {
+    hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
+    uint32_t swa_period = 6;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.set_swa_pattern(swa_period);
+
+    hparams.causal_attn = false; // embeddings do not use causal attention
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    //applied only if model converted with --sentence-transformers-dense-modules
+    ml.get_key(LLM_KV_DENSE_2_FEAT_IN, hparams.dense_2_feat_in, false);
+    ml.get_key(LLM_KV_DENSE_2_FEAT_OUT, hparams.dense_2_feat_out, false);
+    ml.get_key(LLM_KV_DENSE_3_FEAT_IN, hparams.dense_3_feat_in, false);
+    ml.get_key(LLM_KV_DENSE_3_FEAT_OUT, hparams.dense_3_feat_out, false);
+
+    GGML_ASSERT((hparams.dense_2_feat_in == 0 || hparams.dense_2_feat_in == hparams.n_embd) && "dense_2_feat_in must be equal to n_embd");
+    GGML_ASSERT((hparams.dense_3_feat_out == 0 || hparams.dense_3_feat_out == hparams.n_embd) && "dense_3_feat_out must be equal to n_embd");
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_0_3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+    hparams.f_attention_scale = 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
+
+}
+
+void llama_model_gemma_embedding::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,   "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // Dense linear weights
+    dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED);
+    dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED);
+
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma_embedding::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_gemma_embedding::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_k();
 
@@ -31,18 +103,8 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -65,7 +127,7 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
 
             cur =
                 build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
 
diff --git a/src/models/gemma.cpp b/src/models/gemma.cpp
index 1869efd38..067316700 100644
--- a/src/models/gemma.cpp
+++ b/src/models/gemma.cpp
@@ -1,7 +1,44 @@
 #include "models.h"
 
+void llama_model_gemma::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 18: type = LLM_TYPE_2B; break;
+        case 28: type = LLM_TYPE_7B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+}
+
+void llama_model_gemma::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
 
-llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_gemma::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
@@ -29,18 +66,8 @@ llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +87,7 @@ llm_build_gemma::llm_build_gemma(const llama_model & model, const llm_graph_para
             cb(Qcur, "Qcur_scaled", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/gemma2-iswa.cpp b/src/models/gemma2.cpp
similarity index 50%
rename from src/models/gemma2-iswa.cpp
rename to src/models/gemma2.cpp
index 3927ddd29..6255bf740 100644
--- a/src/models/gemma2-iswa.cpp
+++ b/src/models/gemma2.cpp
@@ -1,6 +1,65 @@
 #include "models.h"
 
-llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_gemma2::load_arch_hparams(llama_model_loader & ml) {
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    hparams.n_swa = 4096; // default value of gemma 2
+    uint32_t swa_period = 2;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.set_swa_pattern(swa_period);
+    hparams.attn_soft_cap = true;
+    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING,      hparams.f_attn_logit_softcapping, false);
+    ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,     hparams.f_final_logit_softcapping, false);
+
+    switch (hparams.n_layer) {
+        case 26: type = LLM_TYPE_2B; break;
+        case 42: type = LLM_TYPE_9B; break;
+        case 46: type = LLM_TYPE_27B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+
+    // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L173
+    hparams.f_attention_scale = type == LLM_TYPE_27B
+        ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
+        : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
+}
+
+void llama_model_gemma2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // same as tok_embd, duplicated to allow offloading
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_gemma2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_k();
 
     ggml_tensor * cur;
@@ -31,18 +90,8 @@ llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const ll
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -61,7 +110,7 @@ llm_build_gemma2_iswa::llm_build_gemma2_iswa(const llama_model & model, const ll
             Qcur = ggml_scale(ctx0, Qcur, hparams.f_attention_scale);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/gemma3.cpp b/src/models/gemma3.cpp
index b7697436c..ee510fe38 100644
--- a/src/models/gemma3.cpp
+++ b/src/models/gemma3.cpp
@@ -1,7 +1,87 @@
 #include "models.h"
 
+void llama_model_gemma3::load_arch_hparams(llama_model_loader & ml) {
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    if (found_swa && hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        uint32_t swa_period = 6;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    } else {
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    }
+
+    hparams.f_final_logit_softcapping = 0.0f;
+    ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING, hparams.f_final_logit_softcapping, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 18: type = LLM_TYPE_270M; break;
+        case 26: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_8B; break; // Rnj-1
+        case 34: type = LLM_TYPE_4B; break;
+        case 48: type = LLM_TYPE_12B; break;
+        case 62: type = LLM_TYPE_27B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // ref: https://github.com/google/gemma_pytorch/blob/014acb7ac4563a5f77c76d7ff98f31b568c16508/gemma/config.py#L289
+    hparams.f_attention_scale = type == LLM_TYPE_27B
+        ? 1.0f / std::sqrt(float(hparams.n_embd / hparams.n_head(0)))
+        : 1.0f / std::sqrt(float(hparams.n_embd_head_k()));
+}
+
+void llama_model_gemma3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,   "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // Dense linear weights
+    dense_2_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.dense_2_feat_out}, TENSOR_NOT_REQUIRED);
+    dense_3_out_layers = create_tensor(tn(LLM_TENSOR_DENSE_3_OUT, "weight"), {hparams.dense_3_feat_in, n_embd}, TENSOR_NOT_REQUIRED);
+
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma3::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>>(*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template <bool iswa>
-llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_gemma3::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_k();
 
     ggml_tensor * cur;
@@ -47,18 +127,8 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -84,7 +154,7 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
             Qcur = ggml_scale(ctx0, Qcur, hparams.f_attention_scale);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -151,5 +221,5 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
     ggml_build_forward_expand(gf, cur);
 }
 
-template struct llm_build_gemma3<false>;
-template struct llm_build_gemma3<true>;
+template struct llama_model_gemma3::graph<false>;
+template struct llama_model_gemma3::graph<true>;
diff --git a/src/models/gemma3n-iswa.cpp b/src/models/gemma3n.cpp
similarity index 64%
rename from src/models/gemma3n-iswa.cpp
rename to src/models/gemma3n.cpp
index f5c922c1d..881499b0c 100644
--- a/src/models/gemma3n-iswa.cpp
+++ b/src/models/gemma3n.cpp
@@ -1,6 +1,94 @@
 #include "models.h"
 
-llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params) :
+void llama_model_gemma3n::load_arch_hparams(llama_model_loader & ml) {
+    uint32_t swa_period = 5;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    hparams.set_swa_pattern(swa_period);
+
+    hparams.n_layer_kv_from_start     = 20;
+    hparams.f_attention_scale         = 1.0f;
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 30: type = LLM_TYPE_E2B; break;
+        case 35: type = LLM_TYPE_E4B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_gemma3n::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_altup      = hparams.n_altup;
+    const int64_t laurel_rank  = hparams.laurel_rank;
+    const int64_t n_embd_altup = hparams.n_embd_altup;
+
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    altup_proj        = create_tensor(tn(LLM_TENSOR_ALTUP_PROJ,        "weight"), {n_embd, n_embd, n_altup - 1}, 0);
+    altup_unembd_proj = create_tensor(tn(LLM_TENSOR_ALTUP_UNEMBD_PROJ, "weight"), {n_embd, n_embd, n_altup - 1}, 0);
+
+    per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"), {n_embd_altup * n_layer, n_vocab}, 0);
+    per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_altup * n_layer}, 0);
+    per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight", 0), {n_embd_altup}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head_k}, 0);
+        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head_k}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        // altup & laurel
+        layer.per_layer_inp_gate   = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE,  "weight", i), {n_embd, n_embd_altup}, 0);
+        layer.per_layer_proj       = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ,      "weight", i), {n_embd_altup, n_embd}, 0);
+        layer.per_layer_post_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0);
+        layer.altup_correct_coef   = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_COEF,  "weight", i), {n_altup, n_altup}, 0);
+        layer.altup_correct_scale  = create_tensor(tn(LLM_TENSOR_ALTUP_CORRECT_SCALE, "weight", i), {n_embd}, 0);
+        layer.altup_predict_coef   = create_tensor(tn(LLM_TENSOR_ALTUP_PREDICT_COEF,  "weight", i), {n_altup, n_altup * n_altup}, 0);
+        layer.altup_router         = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER,        "weight", i), {n_embd, n_altup}, 0);
+        layer.altup_router_norm    = create_tensor(tn(LLM_TENSOR_ALTUP_ROUTER_NORM,   "weight", i), {n_embd}, 0);
+        layer.laurel_l             = create_tensor(tn(LLM_TENSOR_LAUREL_L,            "weight", i), {n_embd, laurel_rank}, 0);
+        layer.laurel_r             = create_tensor(tn(LLM_TENSOR_LAUREL_R,            "weight", i), {laurel_rank, n_embd}, 0);
+        layer.laurel_post_norm     = create_tensor(tn(LLM_TENSOR_LAUREL_POST_NORM,    "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma3n::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
+static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, int idx) {
+    GGML_ASSERT(idx < (int) x->ne[2]);
+    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
+                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
+}
+
+llama_model_gemma3n::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params),
     model(model),
     n_embd_head(model.hparams.n_embd_head_k()),
@@ -22,8 +110,11 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
     // TODO: is causal == true correct? might need some changes
     auto * inp_attn = build_attn_inp_kv_iswa();
 
-    // inp_per_layer shape: [n_embd_altup, n_tokens, n_layer]
-    ggml_tensor * inp_per_layer = project_per_layer_inputs(inpL, get_per_layer_inputs());
+    ggml_tensor * inp_per_layer = build_inp_per_layer();
+    ggml_build_forward_expand(gf, inp_per_layer);
+
+    // inp_per_layer now has shape: [n_embd_altup, n_tokens, n_layer]
+    inp_per_layer = project_per_layer_inputs(inpL, inp_per_layer);
 
     // inpL now has only 1 altup, project it to the rest of the altups
     // these "added" altups will be concat to the last dim of inpL
@@ -37,8 +128,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         inpL                        = ggml_concat(ctx0, inpL, altup_added, 2);  // shape: [n_embd, n_tokens, n_altup]
         cb(inpL, "inp_stacked", -1);
     }
-    // inpL now has shape:          [n_embd,       n_tokens, n_altup]
-    // inp_per_layer now has shape: [n_embd_altup, n_tokens, n_layer]
+    // inpL now has shape: [n_embd, n_tokens, n_altup]
 
     for (int il = 0; il < n_layer; ++il) {
         // this block is made to be closely resemble Gemma3p5DecoderLayer on python code
@@ -49,8 +139,8 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         ggml_tensor * predictions = altup_predict(cur, il);  // [n_embd, n_tokens, n_altup]
 
         // predicted value will go through self-attention and laurel
-        ggml_tensor * active_prediction = view_2d_slice(predictions, i_altup_act);  // [n_embd, n_tokens]
-        cur                             = active_prediction;
+        ggml_tensor * active_prediction = ggml_view_2d_slice(ctx0, predictions, i_altup_act);  // [n_embd, n_tokens]
+        cur = active_prediction;
         cb(cur, "active_prediction", il);
 
         // norm
@@ -62,19 +152,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
         // self-attention
         if (hparams.has_kv(il)) {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
@@ -94,7 +172,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
             cb(Kcur, "Kcur_pos", il);
 
             cur = build_attn(inp_attn, model.layers[il].wo,
-                    NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
+                    NULL, model.layers[il].wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
                     hparams.f_attention_scale, il);
         } else {
             // reuse KV cache of earlier layers
@@ -110,7 +188,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
             cb(Qcur, "Qcur_pos", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, nullptr, nullptr, nullptr, nullptr, nullptr, hparams.f_attention_scale, il);
         }
         cur = build_norm(cur, model.layers[il].attn_post_norm, NULL, LLM_NORM_RMS, il);
@@ -151,12 +229,13 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
         ggml_tensor * first_prediction;                                                   // [n_embd, n_tokens]
         {
-            first_prediction = view_2d_slice(corrected, i_altup_act);                     // [n_embd, n_tokens]
+            first_prediction = ggml_view_2d_slice(ctx0, corrected, i_altup_act);          // [n_embd, n_tokens]
             first_prediction = ggml_mul(ctx0, first_prediction, model.layers[il].altup_correct_scale);
             first_prediction = build_lora_mm(model.layers[il].per_layer_inp_gate, first_prediction);
             first_prediction = ggml_gelu(ctx0, first_prediction);                 // [n_embd_altup, n_tokens]
             cb(first_prediction, "first_prediction_gated", il);
-            ggml_tensor * inp_this_layer = view_2d_slice(inp_per_layer, il);      // [n_embd_altup, n_tokens]
+
+            ggml_tensor * inp_this_layer = ggml_view_2d_slice(ctx0, inp_per_layer, il);   // [n_embd_altup, n_tokens]
             first_prediction = ggml_mul(ctx0, first_prediction, inp_this_layer);  // [n_embd_altup, n_tokens]
             cb(first_prediction, "first_prediction_scaled", il);
 
@@ -167,7 +246,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         }
         // equivalent to python code: corrected_predictions[1:] += first_prediction
         {
-            ggml_tensor * slice_first = view_2d_slice(corrected, 0);
+            ggml_tensor * slice_first = ggml_view_2d_slice(ctx0, corrected, 0);
             ggml_tensor * slice_rest  = ggml_view_3d(
                 ctx0, corrected, n_embd, n_tokens, n_altup - 1, ggml_row_size(corrected->type, n_embd),
                 ggml_row_size(corrected->type, n_embd * n_tokens), n_embd * n_tokens * ggml_element_size(corrected));
@@ -185,7 +264,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
     // cur now has multiple altup(s), we want to merge them back to 1 altup
     {
-        ggml_tensor * target_magnitude = calc_magnitude(view_2d_slice(cur, i_altup_act));  // [n_embd, n_tokens]
+        ggml_tensor * target_magnitude = calc_magnitude(ggml_view_2d_slice(ctx0, cur, i_altup_act));  // [n_embd, n_tokens]
         // do a view to skip the first slice (active altup)
         ggml_tensor * alt_slice =
             ggml_view_3d(ctx0, cur, n_embd, n_tokens, n_altup - 1, ggml_row_size(cur->type, n_embd),
@@ -197,9 +276,9 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
         cb(altup_unembd, "altup_unembd", -1);
 
         // equivalent to torch.mean(hidden_states, dim=0)
-        cur = view_2d_slice(cur, 0);  // [n_embd, n_tokens]
+        cur = ggml_view_2d_slice(ctx0, cur, 0);  // [n_embd, n_tokens]
         for (int i = 0; i < n_altup - 1; ++i) {
-            cur = ggml_add(ctx0, cur, view_2d_slice(altup_unembd, i));
+            cur = ggml_add(ctx0, cur, ggml_view_2d_slice(ctx0, altup_unembd, i));
         }
         cur = ggml_scale(ctx0, cur, 1.0f / float(n_altup));  // [n_embd, n_tokens]
         cb(cur, "unembd_merged", -1);
@@ -231,43 +310,38 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_gemma3n_iswa::calc_magnitude(ggml_tensor * x) {
+ggml_tensor * llama_model_gemma3n::graph::calc_magnitude(ggml_tensor * x) {
     return ggml_sqrt(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, x)));
 }
 
-// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
-ggml_tensor * llm_build_gemma3n_iswa::view_2d_slice(ggml_tensor * x, int idx) {
-    GGML_ASSERT(idx < (int) x->ne[2]);
-    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
-                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
-}
-
 // equivalent to get_per_layer_inputs() in python code
 // output shape: [n_embd_altup, n_layer, n_tokens]
-ggml_tensor * llm_build_gemma3n_iswa::get_per_layer_inputs() {
+ggml_tensor * llama_model_gemma3n::graph::build_inp_per_layer() {
     auto inp = std::make_unique<llm_graph_input_embd>(n_embd);
     ggml_tensor * inp_per_layer;
+    float tok_embd_scale = sqrtf((float) n_embd_altup);
     if (ubatch.token) {
         inp->tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, ubatch.n_tokens);
         ggml_set_input(inp->tokens);
         res->t_inp_tokens = inp->tokens;
-        inp_per_layer = ggml_get_rows(ctx0, model.tok_embd_per_layer, inp->tokens);
+        inp_per_layer = ggml_get_rows  (ctx0, model.per_layer_tok_embd, inp->tokens);
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_altup, n_layer, n_tokens);
-        inp_per_layer = ggml_scale(ctx0, inp_per_layer, sqrtf((float) n_embd_altup));
+        inp_per_layer = ggml_scale     (ctx0, inp_per_layer, tok_embd_scale);
         cb(inp_per_layer, "inp_per_layer_selected", -1);
         res->add_input(std::move(inp));
     } else {
-        // Vision embedding path: use padding token (ID=0) embedding
+        // Multimodal embedding path: use padding token (ID=0) embedding
         // TODO: verify if this is the correct behavior in transformers implementation
-        const int64_t embd_size = model.tok_embd_per_layer->ne[0];  // n_embd_altup * n_layer
+        const int64_t embd_size = model.per_layer_tok_embd->ne[0];  // n_embd_altup * n_layer
 
         // Extract and dequantize padding token embedding (row 0)
-        ggml_tensor * padding = ggml_view_1d(ctx0, model.tok_embd_per_layer, embd_size, 0);
-        inp_per_layer = ggml_cast(ctx0, padding, GGML_TYPE_F32);
+        ggml_tensor * padding = ggml_view_1d(ctx0, model.per_layer_tok_embd, embd_size, 0);
+        inp_per_layer = ggml_cast (ctx0, padding, GGML_TYPE_F32);
+        inp_per_layer = ggml_scale(ctx0, inp_per_layer, tok_embd_scale);
 
         // Reshape to [n_embd_altup, n_layer, 1]
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_altup, n_layer, 1);
-        cb(inp_per_layer, "inp_per_layer_vision", -1);
+        cb(inp_per_layer, "inp_per_layer_multimodal", -1);
     }
     return inp_per_layer;
 }
@@ -275,18 +349,19 @@ ggml_tensor * llm_build_gemma3n_iswa::get_per_layer_inputs() {
 // equivalent to project_per_layer_inputs() in python code
 // this calculates the per-layer inputs, so the final tensor shape will have n_layer as the last dim
 // output shape: [n_embd_altup, n_tokens, n_layer]
-ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer) {
+ggml_tensor * llama_model_gemma3n::graph::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) {
     const float per_layer_projection_scale = 1.0f / sqrtf((float) n_embd);
     const float per_layer_input_scale      = 1.0f / sqrtf(2.0f);
 
-    ggml_tensor * per_layer_proj = ggml_mul_mat(ctx0, model.per_layer_model_proj, inputs_embeds);
-    per_layer_proj               = ggml_scale(ctx0, per_layer_proj, per_layer_projection_scale);
-    per_layer_proj               = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_altup, n_layer, n_tokens);
-    per_layer_proj               = build_norm(per_layer_proj, model.per_layer_proj_norm, NULL, LLM_NORM_RMS,
-                                              -1);  // [n_embd_altup, n_layer, n_tokens]
+    ggml_tensor * per_layer_proj;
+    per_layer_proj = ggml_mul_mat   (ctx0, model.per_layer_model_proj, inp_batch);
+    per_layer_proj = ggml_scale     (ctx0, per_layer_proj, per_layer_projection_scale);
+    per_layer_proj = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_altup, n_layer, n_tokens);
+
+    per_layer_proj = build_norm(per_layer_proj, model.per_layer_proj_norm, NULL, LLM_NORM_RMS, -1);
     cb(per_layer_proj, "per_layer_proj", -1);
 
-    inp_per_layer = ggml_add(ctx0, per_layer_proj, inp_per_layer);
+    inp_per_layer = ggml_add  (ctx0, per_layer_proj, inp_per_layer);
     inp_per_layer = ggml_scale(ctx0, inp_per_layer, per_layer_input_scale);
     cb(inp_per_layer, "inp_per_layer", -1);
 
@@ -297,7 +372,7 @@ ggml_tensor * llm_build_gemma3n_iswa::project_per_layer_inputs(ggml_tensor * inp
 
 // input cur shape: [n_altup, n_tokens]
 // output    shape: [n_altup, n_tokens]
-ggml_tensor * llm_build_gemma3n_iswa::laurel(ggml_tensor * cur, int il) {
+ggml_tensor * llama_model_gemma3n::graph::laurel(ggml_tensor * cur, int il) {
     ggml_tensor * tmp = cur;
     tmp               = build_lora_mm(model.layers[il].laurel_l, tmp);
     tmp               = build_lora_mm(model.layers[il].laurel_r, tmp);
@@ -309,7 +384,7 @@ ggml_tensor * llm_build_gemma3n_iswa::laurel(ggml_tensor * cur, int il) {
 
 // input x shape: [n_embd, n_tokens]
 // output  shape: [n_embd, n_tokens]
-ggml_tensor * llm_build_gemma3n_iswa::gaussian_topk(ggml_tensor * x) {
+ggml_tensor * llama_model_gemma3n::graph::gaussian_topk(ggml_tensor * x) {
     ggml_tensor * mean = ggml_mean(ctx0, x);
     ggml_tensor * std  = ggml_sqrt(ctx0, ggml_scale(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, ggml_sub(ctx0, x, mean))),
                                                     1.0f / (float) (x->ne[0] - 1)));
@@ -324,7 +399,7 @@ ggml_tensor * llm_build_gemma3n_iswa::gaussian_topk(ggml_tensor * x) {
 // equivalent to compute_router_modalities() in python code
 // input x shape: [n_embd,  n_tokens]
 // output  shape: [n_altup, n_tokens]
-ggml_tensor * llm_build_gemma3n_iswa::altup_compute_router_modalities(ggml_tensor * x, int il) {
+ggml_tensor * llama_model_gemma3n::graph::altup_compute_router_modalities(ggml_tensor * x, int il) {
     ggml_tensor * router_inputs = build_norm(x, model.layers[il].altup_router_norm, NULL, LLM_NORM_RMS, il);
 
     // router_input_scale
@@ -336,8 +411,8 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_compute_router_modalities(ggml_tenso
 
 // input cur shape: [n_embd, n_tokens, n_altup]
 // output    shape: [n_embd, n_tokens, n_altup]
-ggml_tensor * llm_build_gemma3n_iswa::altup_predict(ggml_tensor * cur, int il) {
-    ggml_tensor * activated  = view_2d_slice(cur, i_altup_act);                 // [n_embd, n_tokens]
+ggml_tensor * llama_model_gemma3n::graph::altup_predict(ggml_tensor * cur, int il) {
+    ggml_tensor * activated  = ggml_view_2d_slice(ctx0, cur, i_altup_act);      // [n_embd, n_tokens]
     ggml_tensor * modalities = altup_compute_router_modalities(activated, il);  // [n_altup, n_tokens]
     cb(modalities, "modalities", il);
 
@@ -361,11 +436,11 @@ ggml_tensor * llm_build_gemma3n_iswa::altup_predict(ggml_tensor * cur, int il) {
 // input predictions       shape: [n_embd, n_tokens, n_altup]
 // input activated         shape: [n_embd, n_tokens]
 // output                  shape: [n_embd, n_tokens, n_altup]
-ggml_tensor * llm_build_gemma3n_iswa::altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il) {
+ggml_tensor * llama_model_gemma3n::graph::altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il) {
     ggml_tensor * modalities = altup_compute_router_modalities(activated, il);  // [n_altup, n_tokens]
     cb(modalities, "modalities", il);
 
-    ggml_tensor * active_prediction = view_2d_slice(predictions, i_altup_act);
+    ggml_tensor * active_prediction = ggml_view_2d_slice(ctx0, predictions, i_altup_act);
     ggml_tensor * innovation        = ggml_sub(ctx0, activated, active_prediction);  // [n_embd, n_tokens]
     cb(innovation, "innovation", il);
 
diff --git a/src/models/gemma4-iswa.cpp b/src/models/gemma4.cpp
similarity index 52%
rename from src/models/gemma4-iswa.cpp
rename to src/models/gemma4.cpp
index 5bddb215d..5026b0ac2 100644
--- a/src/models/gemma4-iswa.cpp
+++ b/src/models/gemma4.cpp
@@ -1,6 +1,142 @@
 #include "models.h"
 
-llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const llm_graph_params & params) :
+void llama_model_gemma4::load_arch_hparams(llama_model_loader & ml) {
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
+
+    uint32_t n_kv_shared_layers = 0;
+    ml.get_key(LLM_KV_ATTENTION_SHARED_KV_LAYERS, n_kv_shared_layers, false);
+
+    hparams.n_layer_kv_from_start = hparams.n_layer - (int32_t)n_kv_shared_layers;
+    hparams.f_attention_scale     = 1.0f; // Gemma4 uses self.scaling = 1.0 (no pre-attn scaling)
+
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,          hparams.rope_freq_base_train_swa, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EMBEDDING_LENGTH_PER_LAYER,  hparams.n_embd_per_layer);
+    ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_SWA,    hparams.n_embd_head_k_swa);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,  hparams.n_embd_head_v_swa);
+    ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,     hparams.f_final_logit_softcapping, false);
+
+    switch (hparams.n_layer) {
+        case 30: type = LLM_TYPE_26B_A4B; break;
+        case 35: type = LLM_TYPE_E2B; break;
+        case 42: type = LLM_TYPE_E4B; break;
+        case 60: type = LLM_TYPE_31B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_gemma4::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const uint32_t n_embd_per_layer = hparams.n_embd_per_layer;
+    const int64_t  n_ff_exp         = hparams.n_ff_exp;
+
+    if (n_embd_head_k != n_embd_head_v) {
+        throw std::runtime_error("Gemma 4 requires n_embd_head_k == n_embd_head_v");
+    }
+    if (hparams.n_embd_head_k_swa != hparams.n_embd_head_v_swa) {
+        throw std::runtime_error("Gemma 4 requires n_embd_head_k_swa == n_embd_head_v_swa");
+    }
+
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    if (n_embd_per_layer > 0) {
+        per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"),    {n_embd_per_layer * n_layer, n_vocab}, 0);
+        per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_per_layer * n_layer}, 0);
+        per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight", 0), {n_embd_per_layer}, 0);
+    }
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    int rope_freqs_flag = 0;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        const int64_t n_head      = hparams.n_head(i);
+        const int64_t n_embd_head = hparams.n_embd_head_k(i);
+        const int64_t n_embd_k    = hparams.n_embd_k_gqa(i);
+        const int64_t n_embd_v    = hparams.n_embd_v_gqa(i);
+        const int     kv_flags    = hparams.has_kv(i) ? 0 : TENSOR_NOT_REQUIRED;
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        // note: use_alternative_attention (v_proj is optional, if it's not present, use k_proj)
+        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head * n_head}, 0);
+        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K,   "weight", i), {n_embd, n_embd_k}, kv_flags);
+        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V,   "weight", i), {n_embd, n_embd_v}, TENSOR_NOT_REQUIRED);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head * n_head, n_embd}, 0);
+
+        layer.attn_q_norm    = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM,    "weight", i), {n_embd_head}, 0);
+        layer.attn_k_norm    = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM,    "weight", i), {n_embd_head}, kv_flags);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        layer.out_scale = create_tensor(tn(LLM_TENSOR_LAYER_OUT_SCALE, "weight", i), {1u}, TENSOR_NOT_REQUIRED);
+
+        if (!hparams.is_swa(i)) {
+            // full_attention layers use rope_freqs for proportional rope
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_embd_head/2}, rope_freqs_flag);
+            rope_freqs_flag = TENSOR_DUPLICATED;
+        }
+
+        // handle use_double_wide_mlp
+        int64_t n_ff_cur = hparams.n_ff(i);
+
+        // for expert layers, we use normal FFN as shared expert (same as python code)
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff_cur}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff_cur}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        // MoE router
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
+        bool has_expert = layer.ffn_gate_inp != nullptr;
+
+        // norm
+        if (has_expert) {
+            layer.ffn_gate_inp_s = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "scale", i), {n_embd}, 0);
+
+            layer.ffn_pre_norm_2  = create_tensor(tn(LLM_TENSOR_FFN_PRE_NORM_2,  "weight", i), {n_embd}, 0);
+            layer.ffn_post_norm_1 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_1, "weight", i), {n_embd}, 0);
+            layer.ffn_post_norm_2 = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM_2, "weight", i), {n_embd}, 0);
+
+            // MoE FFN
+            layer.ffn_gate_up_exps  = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS,  "weight", i), {n_embd, n_ff_exp * 2, n_expert}, 0);
+            layer.ffn_down_exps     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS,     "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
+
+            // per-expert scale will be loaded as down_exps_s at the end of the current switch case
+        }
+
+        // per-layer embeddings
+        if (n_embd_per_layer > 0) {
+            layer.per_layer_inp_gate   = create_tensor(tn(LLM_TENSOR_PER_LAYER_INP_GATE,  "weight", i), {n_embd, n_embd_per_layer}, 0);
+            layer.per_layer_proj       = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ,      "weight", i), {n_embd_per_layer, n_embd}, 0);
+            layer.per_layer_post_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_POST_NORM, "weight", i), {n_embd}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gemma4::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
+static ggml_tensor * ggml_view_2d_slice(ggml_context * ctx0, ggml_tensor * x, int idx) {
+    GGML_ASSERT(idx < (int) x->ne[2]);
+    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
+                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
+}
+
+llama_model_gemma4::graph::graph(const llama_model & model, const llm_graph_params & params) :
         llm_graph_context(params),
         model(model),
         n_embd_per_layer(model.hparams.n_embd_per_layer) {
@@ -19,13 +155,16 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
     // TODO: is causal == true correct? might need some changes
     auto * inp_attn = build_attn_inp_kv_iswa();
 
-    // inp_per_layer shape: [n_embd_per_layer, n_tokens, n_layer]
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
     ggml_tensor * inp_per_layer = nullptr;
-    if (model.tok_embd_per_layer) {
-        inp_per_layer = project_per_layer_inputs(inpL, get_per_layer_inputs());
-    }
+    if (model.per_layer_tok_embd) {
+        inp_per_layer = build_inp_per_layer();
+        ggml_build_forward_expand(gf, inp_per_layer);
 
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
+        // inp_per_layer shape: [n_embd_per_layer, n_tokens, n_layer]
+        inp_per_layer = project_per_layer_inputs(inpL, inp_per_layer);
+    }
 
     for (int il = 0; il < n_layer; ++il) {
         const int64_t n_embd_head = hparams.n_embd_head_k(il);
@@ -52,7 +191,7 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
         // this is to mirror Gemma4Attention in pytorch code
         ggml_tensor * Qcur;
         {
-            Qcur = build_lora_mm(model.layers[il].wq, cur);
+            Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
             cb(Qcur, "Qcur", il);
 
             Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
@@ -67,11 +206,11 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
 
         // self-attention
         if (hparams.has_kv(il)) {
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
             cb(Kcur, "Kcur", il);
 
             ggml_tensor * Vcur = model.layers[il].wv
-                                    ? build_lora_mm(model.layers[il].wv, cur)
+                                    ? build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s)
                                     : Kcur; // if v_proj is not present, use Kcur as Vcur
             cb(Vcur, "Vcur", il);
 
@@ -90,12 +229,12 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
             cb(Kcur, "Kcur_pos", il);
 
             cur = build_attn(inp_attn, model.layers[il].wo,
-                    nullptr, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
+                    nullptr, model.layers[il].wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr,
                     hparams.f_attention_scale, il);
         } else {
             // reuse KV cache of earlier layers
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, nullptr, nullptr, nullptr, nullptr, nullptr, hparams.f_attention_scale, il);
         }
 
@@ -122,9 +261,9 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
             cb(cur_mlp, "ffn_norm_1", il);
 
             cur_mlp = build_ffn(cur_mlp,
-                    model.layers[il].ffn_up,   nullptr, nullptr,
-                    model.layers[il].ffn_gate, nullptr, nullptr,
-                    model.layers[il].ffn_down, nullptr, nullptr,
+                    model.layers[il].ffn_up,   nullptr, model.layers[il].ffn_up_s,
+                    model.layers[il].ffn_gate, nullptr, model.layers[il].ffn_gate_s,
+                    model.layers[il].ffn_down, nullptr, model.layers[il].ffn_down_s,
                     nullptr,
                     LLM_FFN_GELU, LLM_FFN_PAR, il);
             cur_mlp = build_norm(cur_mlp,
@@ -174,9 +313,9 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
             cb(cur, "ffn_norm", il);
 
             cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   nullptr, nullptr,
-                    model.layers[il].ffn_gate, nullptr, nullptr,
-                    model.layers[il].ffn_down, nullptr, nullptr,
+                    model.layers[il].ffn_up,   nullptr, model.layers[il].ffn_up_s,
+                    model.layers[il].ffn_gate, nullptr, model.layers[il].ffn_gate_s,
+                    model.layers[il].ffn_down, nullptr, model.layers[il].ffn_down_s,
                     nullptr,
                     LLM_FFN_GELU, LLM_FFN_PAR, il);
             cb(cur, "ffn_out", il);
@@ -196,7 +335,8 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
 
             cur = build_lora_mm(model.layers[il].per_layer_inp_gate, cur); // [n_embd_per_layer, n_tokens]
             cur = ggml_gelu(ctx0, cur);
-            ggml_tensor * inp_this_layer = view_2d_slice(inp_per_layer, il); // [n_embd_per_layer, n_tokens]
+
+            ggml_tensor * inp_this_layer = ggml_view_2d_slice(ctx0, inp_per_layer, il); // [n_embd_per_layer, n_tokens]
 
             // TODO @ngxson : improve this
             if (il == n_layer - 1 && inp_out_ids) {
@@ -248,60 +388,60 @@ llm_build_gemma4_iswa::llm_build_gemma4_iswa(const llama_model & model, const ll
     ggml_build_forward_expand(gf, cur);
 }
 
-// get 2D slice view from a 3D tensor, the idx corresponds to the 3rd dim
-ggml_tensor * llm_build_gemma4_iswa::view_2d_slice(ggml_tensor * x, int idx) {
-    GGML_ASSERT(idx < (int) x->ne[2]);
-    return ggml_view_2d(ctx0, x, x->ne[0], x->ne[1], ggml_row_size(x->type, x->ne[0]),
-                        idx * x->ne[0] * x->ne[1] * ggml_element_size(x));
-}
-
 // equivalent to get_per_layer_inputs() in python code
 // output shape: [n_embd_per_layer, n_layer, n_tokens]
-ggml_tensor * llm_build_gemma4_iswa::get_per_layer_inputs() {
+ggml_tensor * llama_model_gemma4::graph::build_inp_per_layer() {
     auto inp = std::make_unique<llm_graph_input_embd>(n_embd);
+
     ggml_tensor * inp_per_layer;
+    float tok_embd_scale = sqrtf((float) n_embd_per_layer);
     if (ubatch.token) {
         inp->tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, ubatch.n_tokens);
         ggml_set_input(inp->tokens);
         res->t_inp_tokens = inp->tokens;
-        inp_per_layer = ggml_get_rows(ctx0, model.tok_embd_per_layer, inp->tokens);
+
+        inp_per_layer = ggml_get_rows  (ctx0, model.per_layer_tok_embd, inp->tokens);
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_per_layer, n_layer, n_tokens);
-        inp_per_layer = ggml_scale(ctx0, inp_per_layer, sqrtf((float) n_embd_per_layer));
+        inp_per_layer = ggml_scale     (ctx0, inp_per_layer, tok_embd_scale);
         cb(inp_per_layer, "inp_per_layer_selected", -1);
+
         res->add_input(std::move(inp));
     } else {
-        // Vision embedding path: use padding token (ID=0) embedding
+        // Multimodal embedding path: use padding token (ID=0) embedding
         // TODO: verify if this is the correct behavior in transformers implementation
-        const int64_t embd_size = model.tok_embd_per_layer->ne[0];  // n_embd_per_layer * n_layer
+        const int64_t embd_size = model.per_layer_tok_embd->ne[0];  // n_embd_per_layer * n_layer
 
         // Extract and dequantize padding token embedding (row 0)
-        ggml_tensor * padding = ggml_view_1d(ctx0, model.tok_embd_per_layer, embd_size, 0);
-        inp_per_layer = ggml_cast(ctx0, padding, GGML_TYPE_F32);
+        ggml_tensor * padding = ggml_view_1d(ctx0, model.per_layer_tok_embd, embd_size, 0);
+        inp_per_layer = ggml_cast (ctx0, padding, GGML_TYPE_F32);
+        inp_per_layer = ggml_scale(ctx0, inp_per_layer, tok_embd_scale);
 
         // Reshape to [n_embd_per_layer, n_layer, 1]
         inp_per_layer = ggml_reshape_3d(ctx0, inp_per_layer, n_embd_per_layer, n_layer, 1);
-        cb(inp_per_layer, "inp_per_layer_vision", -1);
+        cb(inp_per_layer, "inp_per_layer_multimodal", -1);
     }
     return inp_per_layer;
 }
 
 // equivalent to project_per_layer_inputs() in python code
 // this calculates the per-layer inputs, so the final tensor shape will have n_layer as the last dim
-// inputs_embeds shape: [n_embd, n_tokens]
-// inp_per_layer shape: [n_embd_per_layer, n_layer, n_tokens] (from get_per_layer_inputs)
+// inp_batch     shape: [n_embd, n_tokens]
+// inp_per_layer shape: [n_embd_per_layer, n_layer, n_tokens] (from build_inp_per_layer)
 // output shape: [n_embd_per_layer, n_tokens, n_layer]
-ggml_tensor * llm_build_gemma4_iswa::project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer) {
+ggml_tensor * llama_model_gemma4::graph::project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer) {
     const float per_layer_projection_scale = 1.0f / sqrtf((float) n_embd);
     const float per_layer_input_scale      = 1.0f / sqrtf(2.0f);
 
-    ggml_tensor * per_layer_proj = ggml_mul_mat(ctx0, model.per_layer_model_proj, inputs_embeds);
-    per_layer_proj               = ggml_scale(ctx0, per_layer_proj, per_layer_projection_scale);
-    per_layer_proj               = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_per_layer, n_layer, n_tokens);
-    per_layer_proj               = build_norm(per_layer_proj, model.per_layer_proj_norm, nullptr, LLM_NORM_RMS,
-                                              -1);  // [n_embd_per_layer, n_layer, n_tokens]
+    // note: this matrix multiplication will be performed in the input layer (i.e. on the CPU)
+    ggml_tensor * per_layer_proj;
+    per_layer_proj = ggml_mul_mat   (ctx0, model.per_layer_model_proj, inp_batch);
+    per_layer_proj = ggml_scale     (ctx0, per_layer_proj, per_layer_projection_scale);
+    per_layer_proj = ggml_reshape_3d(ctx0, per_layer_proj, n_embd_per_layer, n_layer, n_tokens);
+
+    per_layer_proj = build_norm(per_layer_proj, model.per_layer_proj_norm, nullptr, LLM_NORM_RMS, -1);
     cb(per_layer_proj, "per_layer_proj", -1);
 
-    inp_per_layer = ggml_add(ctx0, per_layer_proj, inp_per_layer);
+    inp_per_layer = ggml_add  (ctx0, per_layer_proj, inp_per_layer);
     inp_per_layer = ggml_scale(ctx0, inp_per_layer, per_layer_input_scale);
     cb(inp_per_layer, "inp_per_layer", -1);
 
diff --git a/src/models/glm-dsa.cpp b/src/models/glm-dsa.cpp
new file mode 100644
index 000000000..af2b55ef5
--- /dev/null
+++ b/src/models/glm-dsa.cpp
@@ -0,0 +1,155 @@
+#include "models.h"
+
+void llama_model_glm_dsa::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,     hparams.n_ff_exp);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+    // MoE parameters
+    ml.get_key(LLM_KV_EXPERT_COUNT,                hparams.n_expert);
+    ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+
+    // deepseek MLA parameters
+    ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK,      hparams.n_lora_q);
+    ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,     hparams.n_lora_kv);
+    ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,   hparams.n_embd_head_k_mla_impl, false);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA, hparams.n_embd_head_v_mla_impl, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,        hparams.n_expert_shared);
+
+    // DSA parameters
+    ml.get_key(LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, hparams.indexer_n_head);
+    ml.get_key(LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, hparams.indexer_head_size);
+    ml.get_key(LLM_KV_ATTENTION_INDEXER_TOP_K,      hparams.indexer_top_k);
+
+    // Expert gating function (GLM-4.5 uses sigmoid)
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        hparams.expert_gating_func =  LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+    }
+
+    // NextN/MTP parameters
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+
+    // TODO: when MTP is implemented, this should probably be updated if needed
+    hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+    switch (hparams.n_layer) {
+        case 79: type = LLM_TYPE_744B_A40B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_glm_dsa::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+    const bool is_mla = hparams.is_mla();
+    if (!is_mla) {
+        throw std::runtime_error("GLM_DSA architecture requires MLA");
+    }
+
+    // note: these are the actual head sizes you get when treating as MHA or after "decompression" using wv_b for MLA
+    const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
+    const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
+
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+    const int64_t n_embd_head_qk_nope = n_embd_head_k_mla - n_embd_head_qk_rope;
+
+    const int64_t q_lora_rank  = hparams.n_lora_q;
+    const int64_t kv_lora_rank = hparams.n_lora_kv;
+
+    const int64_t n_ff_exp        = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // try to load output.weight, if not found, use token_embd (tied embeddings)
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        int flags = 0;
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            // skip all tensors in the NextN layers
+            // TODO @ngxson : TENSOR_NOT_REQUIRED was a hack, need to remove it later
+            flags |= TENSOR_SKIP | TENSOR_NOT_REQUIRED;
+        }
+
+        auto & layer = layers[i];
+
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
+        layer.attn_q_a_norm  = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, flags);
+        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, flags);
+
+        layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, flags);
+        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, flags);
+
+        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + n_embd_head_qk_rope}, flags);
+
+        // note: only old legacy GGUF files will have the unsplit wkv_b tensor in
+        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_qk_nope, kv_lora_rank, n_head}, flags);
+        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, flags);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, flags);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
+
+        // DSA indexer
+        layer.indexer_k_norm   = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "weight", i), {hparams.indexer_head_size}, flags);
+        layer.indexer_k_norm_b = create_tensor(tn(LLM_TENSOR_INDEXER_K_NORM,   "bias",   i), {hparams.indexer_head_size}, flags);
+        layer.indexer_proj     = create_tensor(tn(LLM_TENSOR_INDEXER_PROJ,     "weight", i), {n_embd, hparams.indexer_n_head}, flags);
+        layer.indexer_attn_k   = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_K,   "weight", i), {n_embd, hparams.indexer_head_size}, flags);
+        layer.indexer_attn_q_b = create_tensor(tn(LLM_TENSOR_INDEXER_ATTN_Q_B, "weight", i), {q_lora_rank, hparams.indexer_n_head * hparams.indexer_head_size}, flags);
+        if (i < (int) hparams.n_layer_dense_lead) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, flags);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, flags);
+        } else {
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, flags);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+            if (n_expert == 0) {
+                throw std::runtime_error("n_expert must be > 0");
+            }
+            if (n_expert_used == 0) {
+                throw std::runtime_error("n_expert_used must be > 0");
+            }
+
+            // MoE branch
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, flags);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, flags);
+
+            // Shared expert branch
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {        n_ff_exp * n_expert_shared, n_embd}, flags);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_exp * n_expert_shared}, flags);
+        }
+
+        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+
+            // Optional tensors
+            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_glm_dsa::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/glm4-moe.cpp b/src/models/glm4-moe.cpp
index 7938545ed..45886b51a 100644
--- a/src/models/glm4-moe.cpp
+++ b/src/models/glm4-moe.cpp
@@ -1,6 +1,139 @@
 #include "models.h"
 
-llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_glm4_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,     hparams.n_ff_exp);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+    // MoE parameters
+    ml.get_key(LLM_KV_EXPERT_COUNT,                hparams.n_expert);
+    ml.get_key(LLM_KV_EXPERT_USED_COUNT,           hparams.n_expert_used);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,         hparams.n_expert_shared);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,        hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,         hparams.expert_weights_norm, false);
+
+    // Expert gating function (GLM-4.5 uses sigmoid)
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        hparams.expert_gating_func =  LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+    }
+
+    // NextN/MTP parameters
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS,        hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+
+    // TODO: when MTP is implemented, this should probably be updated if needed
+    hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+    switch (hparams.n_layer) {
+        case 47: type = LLM_TYPE_106B_A12B; break; // GLM-4.5-Air (46 layers + 1 NextN layer)
+        case 48: type = LLM_TYPE_102B_A12B; break; // Solar Open
+        case 93: type = LLM_TYPE_355B_A32B; break; // GLM-4.5 (92 layers + 1 NextN layer)
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_glm4_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+    const int64_t n_expert_shared = hparams.n_expert_shared;
+
+
+    GGML_ASSERT(hparams.n_expert > 0 && "n_expert must be > 0 for GLM4_MOE MoE layers");
+    GGML_ASSERT(hparams.n_expert_used > 0 && "n_expert_used must be > 0 for GLM4_MOE MoE layers");
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
+    }
+
+    // Load ALL tensors including NextN layer to satisfy total tensor count
+    // but only PROCESS up to last layer (skipping final NextN layer) in forward pass
+    for (int i = 0; i < n_layer; ++i) {
+        int flags = 0;
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            // skip all tensors in the NextN layers
+            flags |= TENSOR_SKIP;
+        }
+
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, flags);
+
+        // GLM-style attention with bias terms
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, flags);
+
+        // K/Q norm tensors (optional for GLM-4.5 355B variant)
+        layer.attn_q_norm = create_tensor(
+            tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags);
+        layer.attn_k_norm = create_tensor(
+            tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, TENSOR_NOT_REQUIRED | flags);
+
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, flags);
+
+        // Check if this layer uses MoE or dense FFN based on n_layer_dense_lead
+        // GLM 4.5 uses hybrid architecture: layer 0 is dense, layers 1+ are MoE
+        const bool use_moe = (static_cast<uint32_t>(i) >= hparams.n_layer_dense_lead);
+
+        if (use_moe) {
+            // MoE layers
+            layer.ffn_gate_inp =
+                create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, flags);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), { n_expert }, flags);
+
+            // MoE branch
+            const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+            layer.ffn_gate_exps = create_tensor(
+                tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags);
+            layer.ffn_down_exps = create_tensor(
+                tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, flags);
+            layer.ffn_up_exps = create_tensor(
+                tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, flags);
+
+            // Shared expert
+            if (n_expert_shared > 0) {
+                const int64_t n_ff_shexp = n_ff_exp * n_expert_shared;
+                layer.ffn_gate_shexp = create_tensor(
+                    tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags);
+                layer.ffn_down_shexp = create_tensor(
+                    tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), { n_ff_shexp, n_embd }, flags);
+                layer.ffn_up_shexp = create_tensor(
+                    tn(LLM_TENSOR_FFN_UP_SHEXP, "weight", i), { n_embd, n_ff_shexp }, flags);
+            }
+        } else {
+            // Dense layers (first k layers) - GLM uses separate gate/up projections
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, flags);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, flags);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), { n_embd, n_ff }, flags);
+        }
+
+        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+
+            // Optional tensors
+            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_glm4_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_glm4_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -38,27 +171,8 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            }
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            }
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            }
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Apply Q/K norm if available (GLM-4.5 355B variant)
             if (model.layers[il].attn_q_norm) {
@@ -94,7 +208,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_transformer_layers - 1 && inp_out_ids) {
diff --git a/src/models/glm4.cpp b/src/models/glm4.cpp
index b6ad8febe..d6ef76e26 100644
--- a/src/models/glm4.cpp
+++ b/src/models/glm4.cpp
@@ -1,10 +1,79 @@
 #include "models.h"
 
+void llama_model_glm4::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,    hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+    // NextN/MTP parameters (GLM-OCR)
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+
+    // TODO: when MTP is implemented, this should probably be updated if needed
+    hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+    switch (hparams.n_layer) {
+        case 17: type = LLM_TYPE_1B; break; // GLM-OCR
+        case 40: type = LLM_TYPE_9B; break;
+        case 61: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_glm4::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        int flags = 0;
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            // skip all tensors in the NextN layers
+            flags |= TENSOR_SKIP;
+        }
+
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, flags);
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, flags);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, flags);
 
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, flags);
 
-llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, flags);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, flags);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, flags);
+
+        layer.ffn_post_norm  = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, flags);
+
+        // NextN/MTP tensors (preserved but unused) - conditionally load for last nextn_predict_layers
+        if (hparams.nextn_predict_layers > 0 && static_cast<uint32_t>(i) >= n_layer - hparams.nextn_predict_layers) {
+            layer.nextn.eh_proj          = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), { 2 * n_embd, n_embd }, flags);
+            layer.nextn.enorm            = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM, "weight", i), { n_embd }, flags);
+            layer.nextn.hnorm            = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM, "weight", i), { n_embd }, flags);
+
+            // Optional tensors
+            layer.nextn.embed_tokens     = create_tensor(tn(LLM_TENSOR_NEXTN_EMBED_TOKENS, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_head = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "weight", i), { n_embd, n_vocab }, flags | TENSOR_NOT_REQUIRED);
+            layer.nextn.shared_head_norm = create_tensor(tn(LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "weight", i), { n_embd }, flags | TENSOR_NOT_REQUIRED);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_glm4::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_glm4::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -41,40 +110,8 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv == nullptr) {
-                Qcur = build_lora_mm(model.layers[il].wq, cur);
-                if (model.layers[il].bq) {
-                    Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                }
-                Kcur = build_lora_mm(model.layers[il].wk, cur);
-                if (model.layers[il].bk) {
-                    Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                }
-                Vcur = build_lora_mm(model.layers[il].wv, cur);
-                if (model.layers[il].bv) {
-                    Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                }
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            } else {
-                cur = build_lora_mm(model.layers[il].wqkv, cur);
-                cb(cur, "wqkv", il);
-                if (model.layers[il].bqkv) {
-                    cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                    cb(cur, "bqkv", il);
-                }
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float), cur->nb[1],
-                                    0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                    cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_mrope) {
                 Qcur = ggml_rope_multi(ctx0, Qcur, inp_pos, nullptr,
@@ -100,7 +137,7 @@ llm_build_glm4::llm_build_glm4(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_transformer_layers - 1 && inp_out_ids) {
diff --git a/src/models/gpt2.cpp b/src/models/gpt2.cpp
index cb1238f2d..ba49c31b5 100644
--- a/src/models/gpt2.cpp
+++ b/src/models/gpt2.cpp
@@ -1,8 +1,61 @@
 #include "models.h"
 
-llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_gpt2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 12: type = LLM_TYPE_SMALL; break;
+        case 24: type = LLM_TYPE_MEDIUM; break;
+        case 36: type = LLM_TYPE_LARGE; break;
+        case 48: type = LLM_TYPE_XL; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_gpt2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gpt2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_gpt2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -34,22 +87,11 @@ llm_build_gpt2::llm_build_gpt2(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/gptneox.cpp b/src/models/gptneox.cpp
index 1c8fe6c83..33ebe2d88 100644
--- a/src/models/gptneox.cpp
+++ b/src/models/gptneox.cpp
@@ -1,9 +1,90 @@
 #include "models.h"
 
+void llama_model_gptneox::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    ml.get_key(LLM_KV_USE_PARALLEL_RESIDUAL,   hparams.use_par_res);
+    switch (hparams.n_layer) {
+        case 6:
+            switch (hparams.n_ff()) {
+                case 512:  type = LLM_TYPE_14M; break;
+                case 2048: type = LLM_TYPE_70M; break;
+                default:   type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 12:
+            switch (hparams.n_ff()) {
+                case 3072: type = LLM_TYPE_160M; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 16:
+            switch (hparams.n_ff()) {
+                case 8192: type = LLM_TYPE_1B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 24:
+            switch (hparams.n_ff()) {
+                case 4096: type = LLM_TYPE_410M; break;
+                case 8192: type = LLM_TYPE_1_4B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 32:
+            switch (hparams.n_ff()) {
+                case 10240: type = LLM_TYPE_2_8B; break;
+                case 16384: type = LLM_TYPE_6_9B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 36:
+            switch (hparams.n_ff()) {
+                case 20480: type = LLM_TYPE_12B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 44:
+            switch (hparams.n_ff()) {
+                case 24576: type = LLM_TYPE_20B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_gptneox::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
 
-llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_gptneox::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_gptneox::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -28,15 +109,8 @@ llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -55,7 +129,7 @@ llm_build_gptneox::llm_build_gptneox(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/granite-hybrid.cpp b/src/models/granite-hybrid.cpp
index 9b54a38c3..12e4790ae 100644
--- a/src/models/granite-hybrid.cpp
+++ b/src/models/granite-hybrid.cpp
@@ -1,6 +1,137 @@
 #include "models.h"
 
-llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params) :
+void llama_model_granite_hybrid::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale, /* required */ false);
+    ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, /* required */ false);
+    ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, /* required */ false);
+    ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, /* required */ false);
+
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    // Granite uses rope_finetuned as a switch for rope, so default to true
+    bool rope_finetuned = true;
+    ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
+    hparams.rope_finetuned = rope_finetuned;
+
+    // A layer is recurrent IFF the n_head_kv value is set to 0
+    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+        hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
+    }
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_embd) {
+        case 768: type = LLM_TYPE_350M; break;
+        case 1536: type = (hparams.n_ff() == 512 ? LLM_TYPE_7B_A1B : LLM_TYPE_1B); break;
+        case 2048: case 2560: type = LLM_TYPE_3B; break;
+        case 4096: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // For Granite MoE Shared
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false);
+}
+
+void llama_model_granite_hybrid::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    // mamba2 Mixer SSM params
+    // NOTE: int64_t for tensor dimensions
+    const int64_t d_conv     = hparams.ssm_d_conv;
+    const int64_t d_inner    = hparams.ssm_d_inner;
+    const int64_t d_state    = hparams.ssm_d_state;
+    const int64_t n_ssm_head = hparams.ssm_dt_rank;
+    const int64_t n_group    = hparams.ssm_n_group;
+    const int64_t d_in_proj  = 2*d_inner + 2*n_group*d_state + n_ssm_head;
+
+    // only an expansion factor of 2 is supported for now
+    GGML_ASSERT(2 * n_embd == d_inner);
+
+    // embeddings
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    {
+        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        // if output is NULL, init from the input tok embed, duplicated to allow offloading
+        if (output == NULL) {
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+        }
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        // norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.is_recurrent(i)) {
+            // ssm layers
+            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
+
+            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
+            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED);
+
+            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0);
+
+            // no "weight" suffix for these
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0);
+            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0);
+
+            layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
+
+            // out_proj
+            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
+        } else {
+            // attention layers (with optional bias)
+            const int64_t n_head_i = hparams.n_head(i);
+            const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
+            const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
+            layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        }
+
+        // feed forward (w/ optional biases)
+        if (n_expert > 0) {
+            // MoE FFN
+            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        } else {
+            layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_granite_hybrid::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_granite_hybrid::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_mamba_base(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -67,37 +198,13 @@ llm_build_granite_hybrid::llm_build_granite_hybrid(const llama_model & model, co
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor *             cur,
+ggml_tensor * llama_model_granite_hybrid::graph::build_attention_layer(ggml_tensor *             cur,
                                                               ggml_tensor *             inp_pos,
                                                               llm_graph_input_attn_kv * inp_attn,
                                                               const llama_model &       model,
                                                               const int64_t             n_embd_head,
                                                               const int                 il) {
-    // compute Q and K and (optionally) RoPE them
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il), n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const bool use_rope = hparams.rope_finetuned;
     if (use_rope) {
@@ -116,13 +223,13 @@ ggml_tensor * llm_build_granite_hybrid::build_attention_layer(ggml_tensor *
     const float kq_scale =
         hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_out", il);
     return cur;
 }
 
-ggml_tensor * llm_build_granite_hybrid::build_layer_ffn(ggml_tensor *       cur,
+ggml_tensor * llama_model_granite_hybrid::graph::build_layer_ffn(ggml_tensor *       cur,
                                                         ggml_tensor *       inpSA,
                                                         const llama_model & model,
                                                         const int           il) {
diff --git a/src/models/granite-moe.cpp b/src/models/granite-moe.cpp
new file mode 100644
index 000000000..0d89bc1f3
--- /dev/null
+++ b/src/models/granite-moe.cpp
@@ -0,0 +1,89 @@
+#include "models.h"
+
+void llama_model_granite_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale);
+    ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, false);
+    ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, false);
+    ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, false);
+
+    // Granite uses rope_finetuned as a switch for rope, so default to true
+    bool rope_finetuned = true;
+    ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
+    hparams.rope_finetuned = rope_finetuned;
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_3B; break;
+        case 40: type = LLM_TYPE_3B; break;
+        // Add additional layer/vocab/etc checks here for other model sizes
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // For Granite MoE Shared
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false);
+}
+
+void llama_model_granite_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_granite_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/granite.cpp b/src/models/granite.cpp
index 7a7e1664c..5e7c7b681 100644
--- a/src/models/granite.cpp
+++ b/src/models/granite.cpp
@@ -1,6 +1,93 @@
 #include "models.h"
 
-llm_build_granite::llm_build_granite(
+void llama_model_granite::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LOGIT_SCALE,                 hparams.f_logit_scale);
+    ml.get_key(LLM_KV_RESIDUAL_SCALE,              hparams.f_residual_scale, false);
+    ml.get_key(LLM_KV_EMBEDDING_SCALE,             hparams.f_embedding_scale, false);
+    ml.get_key(LLM_KV_ATTENTION_SCALE,             hparams.f_attention_scale, false);
+
+    // Granite uses rope_finetuned as a switch for rope, so default to true
+    bool rope_finetuned = true;
+    ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
+    hparams.rope_finetuned = rope_finetuned;
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_3B; break;
+        case 40: type = LLM_TYPE_3B; break;
+        // Add additional layer/vocab/etc checks here for other model sizes
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // For Granite MoE Shared
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, /* required */ false);
+}
+
+void llama_model_granite::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_granite::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_granite::graph::graph(
     const llama_model & model,
     const llm_graph_params & params)
     : llm_graph_context(params) {
@@ -68,7 +155,7 @@ llm_build_granite::llm_build_granite(
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_granite::build_attention_layer(
+ggml_tensor * llama_model_granite::graph::build_attention_layer(
           ggml_tensor             * cur,
           ggml_tensor             * inp_pos,
           llm_graph_input_attn_kv * inp_attn,
@@ -76,31 +163,8 @@ ggml_tensor * llm_build_granite::build_attention_layer(
     const int64_t                 n_embd_head,
     const int                     il) {
 
-    // compute Q and K and (optionally) RoPE them
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il),    n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+            n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const bool use_rope = hparams.rope_finetuned;
     if (use_rope) {
@@ -124,13 +188,13 @@ ggml_tensor * llm_build_granite::build_attention_layer(
 
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f/sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
     return cur;
 }
 
-ggml_tensor * llm_build_granite::build_layer_ffn(
+ggml_tensor * llama_model_granite::graph::build_layer_ffn(
           ggml_tensor       * cur,
           ggml_tensor       * inpSA,
     const llama_model       & model,
diff --git a/src/models/grok.cpp b/src/models/grok.cpp
index 580d63e36..0bc49d002 100644
--- a/src/models/grok.cpp
+++ b/src/models/grok.cpp
@@ -1,6 +1,89 @@
 #include "models.h"
 
-llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_grok::load_arch_hparams(llama_model_loader & ml) {
+    // defaults for old GGUFs
+    hparams.yarn_beta_fast = 8.0f;
+    hparams.f_logit_scale = 0.5773502691896257f;
+    hparams.f_embedding_scale = 78.38367176906169f;
+    hparams.f_attn_out_scale = 0.08838834764831845f;
+    hparams.f_attn_logit_softcapping = 30.0f;
+    hparams.f_router_logit_softcapping = 30.0f;
+    // no final_logit_softcapping in grok-1
+    hparams.f_final_logit_softcapping = 0.0f;
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,  hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,   hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_LOGIT_SCALE,                  hparams.f_logit_scale, false);
+    ml.get_key(LLM_KV_EMBEDDING_SCALE,              hparams.f_embedding_scale, false);
+    ml.get_key(LLM_KV_ATTENTION_OUTPUT_SCALE,       hparams.f_attn_out_scale, false);
+    ml.get_key(LLM_KV_ATTN_LOGIT_SOFTCAPPING,       hparams.f_attn_logit_softcapping, false);
+    ml.get_key(LLM_KV_ROUTER_LOGIT_SOFTCAPPING,     hparams.f_router_logit_softcapping, false);
+    ml.get_key(LLM_KV_FINAL_LOGIT_SOFTCAPPING,      hparams.f_final_logit_softcapping, false);
+
+    ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_LENGTH,  hparams.attn_temp_length, false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR,  hparams.yarn_ext_factor, false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, hparams.yarn_attn_factor, false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST,   hparams.yarn_beta_fast, false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW,   hparams.yarn_beta_slow, false);
+
+    switch (hparams.n_layer) {
+        case 64: type = LLM_TYPE_314B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_grok::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_expert == 0) {
+        throw std::runtime_error(arch_name() + " model cannot have zero experts");
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff/* / n_expert_used*/; // grok-1 n_ff_exp == n_ff
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff,   n_embd}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd,   n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
+
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        if (!layer.ffn_post_norm) {
+            layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_grok::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_grok::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,27 +113,8 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +133,7 @@ llm_build_grok::llm_build_grok(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/grovemoe.cpp b/src/models/grovemoe.cpp
index aa60d3e93..feef81516 100644
--- a/src/models/grovemoe.cpp
+++ b/src/models/grovemoe.cpp
@@ -1,6 +1,70 @@
 #include "models.h"
 
-llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_graph_params & params) :
+void llama_model_grovemoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH,  hparams.n_ff_chexp, false);
+    ml.get_key(LLM_KV_EXPERT_GROUP_SCALE,                hparams.expert_group_scale);
+    ml.get_key(LLM_KV_EXPERTS_PER_GROUP,                 hparams.n_group_experts);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 48: type = LLM_TYPE_30B_A3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_grovemoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for GROVEMOE");
+    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for GROVEMOE");
+    GGML_ASSERT(hparams.n_group_experts > 0 && "n_group_experts must be > 0 for GROVEMOE");
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+        const int64_t n_ff_chexp = hparams.n_ff_chexp ? hparams.n_ff_chexp : n_embd_head_k;
+        const int64_t n_chunk_expert = n_expert / hparams.n_group_experts;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+        layer.ffn_gate_chexps = create_tensor(tn(LLM_TENSOR_FFN_GATE_CHEXPS, "weight", i), {  n_embd, n_ff_chexp, n_chunk_expert}, 0);
+        layer.ffn_down_chexps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_CHEXPS, "weight", i), {n_ff_chexp,   n_embd, n_chunk_expert}, 0);
+        layer.ffn_up_chexps   = create_tensor(tn(LLM_TENSOR_FFN_UP_CHEXPS,   "weight", i), {  n_embd, n_ff_chexp, n_chunk_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_grovemoe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_grovemoe::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t n_embd_head    = hparams.n_embd_head_v();
     const int64_t n_chunk_expert = n_expert / hparams.n_group_experts;
@@ -30,18 +94,8 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -60,7 +114,7 @@ llm_build_grovemoe::llm_build_grovemoe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/hunyuan-dense.cpp b/src/models/hunyuan-dense.cpp
index 6a51707c8..c137bd37c 100644
--- a/src/models/hunyuan-dense.cpp
+++ b/src/models/hunyuan-dense.cpp
@@ -1,132 +1,6 @@
 #include "models.h"
 
-llm_build_hunyuan_dense::llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-    GGML_ASSERT(n_embd_head == n_rot);
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    // inp_pos - contains the positions
-    ggml_tensor * inp_pos = build_inp_pos();
-
-    auto * inp_attn = build_attn_inp_kv();
-
-    const float kq_scale = 1.0f / sqrtf(float(n_embd_head));
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-        // self-attention
-        {
-            // rope freq factors for llama3; may return nullptr for llama2 and other models
-            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
-
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            Qcur = ggml_rope_ext(
-                        ctx0, Qcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            Kcur = ggml_rope_ext(
-                        ctx0, Kcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-
-            Kcur = build_norm(Kcur,
-                        model.layers[il].attn_k_norm, nullptr,
-                        LLM_NORM_RMS, il);
-            cb(Kcur, "Kcur_norm", il);
-
-            Qcur = build_norm(Qcur,
-                        model.layers[il].attn_q_norm, nullptr,
-                        LLM_NORM_RMS, il);
-            cb(Qcur, "Qcur_norm", il);
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
-            cb(cur, "attn_out", il);
-        }
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        cur = build_norm(ffn_inp,
-                model.layers[il].ffn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "ffn_norm", il);
-        // feed-forward network (non-MoE)
-        ggml_tensor * cur_mlp = build_ffn(cur,
-                    model.layers[il].ffn_up,   NULL, NULL,
-                    model.layers[il].ffn_gate, NULL, NULL,
-                    model.layers[il].ffn_down, NULL, NULL,
-                    NULL,
-                    LLM_FFN_SILU, LLM_FFN_PAR, il);
-        cb(cur_mlp, "ffn_out", il);
-
-        cur = ggml_add(ctx0, cur_mlp, ffn_inp);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
+std::unique_ptr<llm_graph_context> llama_model_hunyuan_dense::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
 }
+
diff --git a/src/models/hunyuan-moe.cpp b/src/models/hunyuan-moe.cpp
index 806c30b36..44af42412 100644
--- a/src/models/hunyuan-moe.cpp
+++ b/src/models/hunyuan-moe.cpp
@@ -1,6 +1,59 @@
 #include "models.h"
 
-llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_hunyuan_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_A13B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_hunyuan_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp}, 0);
+        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
+        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_hunyuan_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_hunyuan_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -35,27 +88,8 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -84,7 +118,7 @@ llm_build_hunyuan_moe::llm_build_hunyuan_moe(const llama_model & model, const ll
             cb(Qcur, "Qcur_norm", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/hunyuan-vl.cpp b/src/models/hunyuan-vl.cpp
new file mode 100644
index 000000000..5fb9154be
--- /dev/null
+++ b/src/models/hunyuan-vl.cpp
@@ -0,0 +1,189 @@
+#include "models.h"
+
+void llama_model_hunyuan_vl::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, false);
+
+    // XDRoPE / NTK-aware scaling: base = rope_theta * alpha^(dim / (dim - 2))
+    if (hparams.rope_scaling_alpha > 0.0f) {
+        const int dim = hparams.n_embd_head_k();
+        hparams.rope_freq_base_train = hparams.rope_freq_base_train
+            * powf(hparams.rope_scaling_alpha, (float)dim / (float)(dim - 2));
+    }
+
+    switch (hparams.n_embd) {
+        case 1024: type = LLM_TYPE_0_5B; break;
+        case 2048: type = LLM_TYPE_1_8B; break;
+        case 3072: type = LLM_TYPE_4B; break;
+        case 4096: type = LLM_TYPE_7B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_hunyuan_vl::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_hunyuan_vl::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_hunyuan_vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
+
+    const bool use_mrope = hparams.use_mrope();
+
+    int sections[4];
+    std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    auto * inp_attn = build_attn_inp_kv();
+
+    const float kq_scale = 1.0f / sqrtf(float(n_embd_head));
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+        // self-attention
+        {
+            // rope freq factors for llama3; may return nullptr for llama2 and other models
+            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
+
+            // compute Q and K and RoPE them
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
+
+            if (use_mrope) {
+                Qcur = ggml_rope_multi(
+                            ctx0, Qcur, inp_pos, rope_factors,
+                            n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale,
+                            ext_factor, attn_factor, beta_fast, beta_slow
+                            );
+
+                Kcur = ggml_rope_multi(
+                            ctx0, Kcur, inp_pos, rope_factors,
+                            n_rot, sections, rope_type, n_ctx_orig, freq_base, freq_scale,
+                            ext_factor, attn_factor, beta_fast, beta_slow
+                            );
+            } else {
+                Qcur = ggml_rope_ext(
+                            ctx0, Qcur, inp_pos, rope_factors,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                            ext_factor, attn_factor, beta_fast, beta_slow
+                            );
+
+                Kcur = ggml_rope_ext(
+                            ctx0, Kcur, inp_pos, rope_factors,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                            ext_factor, attn_factor, beta_fast, beta_slow
+                            );
+            }
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            Kcur = build_norm(Kcur,
+                        model.layers[il].attn_k_norm, nullptr,
+                        LLM_NORM_RMS, il);
+            cb(Kcur, "Kcur_norm", il);
+
+            Qcur = build_norm(Qcur,
+                        model.layers[il].attn_q_norm, nullptr,
+                        LLM_NORM_RMS, il);
+            cb(Qcur, "Qcur_norm", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
+            cb(cur, "attn_out", il);
+        }
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        cur = build_norm(ffn_inp,
+                model.layers[il].ffn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "ffn_norm", il);
+        // feed-forward network (non-MoE)
+        ggml_tensor * cur_mlp = build_ffn(cur,
+                    model.layers[il].ffn_up,   NULL, NULL,
+                    model.layers[il].ffn_gate, NULL, NULL,
+                    model.layers[il].ffn_down, NULL, NULL,
+                    NULL,
+                    LLM_FFN_SILU, LLM_FFN_PAR, il);
+        cb(cur_mlp, "ffn_out", il);
+
+        cur = ggml_add(ctx0, cur_mlp, ffn_inp);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/internlm2.cpp b/src/models/internlm2.cpp
index 441d25026..f0c5580a6 100644
--- a/src/models/internlm2.cpp
+++ b/src/models/internlm2.cpp
@@ -1,6 +1,43 @@
 #include "models.h"
 
-llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_internlm2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 48: type = LLM_TYPE_20B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_internlm2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        // layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_internlm2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_internlm2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,27 +67,8 @@ llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +87,7 @@ llm_build_internlm2::llm_build_internlm2(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/jais.cpp b/src/models/jais.cpp
index b28243901..a6451dca0 100644
--- a/src/models/jais.cpp
+++ b/src/models/jais.cpp
@@ -1,8 +1,59 @@
 #include "models.h"
 
-llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_jais::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1_3B; break;
+        case 40: type = LLM_TYPE_13B; break;
+        /* TODO: add variants */
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_jais::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM,   "bias", i),   {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_gate   = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE,   "bias", i),   {n_ff}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_jais::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_jais::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -24,22 +75,11 @@ llm_build_jais::llm_build_jais(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*cur->nb[0]*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*cur->nb[0]*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*cur->nb[0]*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/float(n_embd_head), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/jais2.cpp b/src/models/jais2.cpp
index 2cfe484eb..ad59b953e 100644
--- a/src/models/jais2.cpp
+++ b/src/models/jais2.cpp
@@ -1,8 +1,63 @@
 #include "models.h"
 
+void llama_model_jais2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_8B; break;
+        case 68: type = LLM_TYPE_70B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_jais2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
+        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_v_gqa}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // attention biases - all have shape n_embd (output dimension of projections)
+        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q, "bias", i), {n_embd}, 0);
+        layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K, "bias", i), {n_embd}, 0);
+        layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        // Jais-2 uses simple MLP (no gate) with biases
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_jais2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
 // JAIS-2 model graph builder
 // Uses: LayerNorm (not RMSNorm), relu2 activation, separate Q/K/V, RoPE embeddings
-llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_jais2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -31,25 +86,8 @@ llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_para
 
         // Self-attention with separate Q, K, V projections
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur_bias", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur_bias", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur_bias", il);
-
-            // Reshape for attention
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Apply RoPE
             Qcur = ggml_rope_ext(
@@ -68,7 +106,7 @@ llm_build_jais2::llm_build_jais2(const llama_model & model, const llm_graph_para
             cb(Kcur, "Kcur_rope", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/jamba.cpp b/src/models/jamba.cpp
index c0c89de18..e1b8d137e 100644
--- a/src/models/jamba.cpp
+++ b/src/models/jamba.cpp
@@ -1,6 +1,111 @@
 #include "models.h"
 
-llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
+void llama_model_jamba::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+        hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
+    }
+
+    switch (hparams.n_layer) {
+        // TODO: Jamba layers are a bit heterogeneous, so naming this is hard.
+        case 12: // 900M  8x???M
+        case 32: // 51B  16x?B
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_jamba::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t d_conv  = hparams.ssm_d_conv;
+    const int64_t d_inner = hparams.ssm_d_inner;
+    const int64_t d_state = hparams.ssm_d_state;
+    const int64_t dt_rank = hparams.ssm_dt_rank;
+
+    // only an expansion factor of 2 is supported for now
+    GGML_ASSERT(2 * n_embd == d_inner);
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    {
+        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        // if output is NULL, init from the input tok embed, duplicated to allow offloading
+        if (output == NULL) {
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+        }
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        const int64_t n_head_kv = hparams.n_head_kv(i);
+        const int64_t n_embd_gqa = hparams.n_embd_v_gqa(i);
+
+        auto & layer = layers[i];
+
+        // norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (n_head_kv == 0) {
+            // Mamba layer
+            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0);
+
+            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0);
+            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0);
+
+            layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0);
+
+            layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, "weight", i), {dt_rank}, 0);
+
+            layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0);
+            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0);
+
+            layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, "weight", i), {d_state}, 0);
+            layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, "weight", i), {d_state}, 0);
+
+            // no "weight" suffix for these
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0);
+            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0);
+
+            // out_proj
+            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
+        } else {
+            // Attention layers
+
+            create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        }
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
+
+        if (layer.ffn_gate_inp) {
+            // MoE
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff, n_expert}, 0);
+        } else {
+            // FFN (no MoE)
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_jamba::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_jamba::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     ggml_tensor * cur;
@@ -24,25 +129,12 @@ llm_build_jamba::llm_build_jamba(const llama_model & model, const llm_graph_para
         } else {
             // Attention
 
-            struct ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            struct ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            struct ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // No RoPE :)
             cur = build_attn(inp_hybrid->get_attn(),
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, NULL, NULL, NULL, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/jina-bert-v2.cpp b/src/models/jina-bert-v2.cpp
new file mode 100644
index 000000000..4f8866ece
--- /dev/null
+++ b/src/models/jina-bert-v2.cpp
@@ -0,0 +1,66 @@
+#include "models.h"
+
+void llama_model_jina_bert_v2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+    hparams.f_max_alibi_bias = 8.0f;
+
+    switch (hparams.n_layer) {
+        case 4:  type = LLM_TYPE_33M;  break; // jina-embeddings-small
+        case 12: type = LLM_TYPE_137M; break; // jina-embeddings-base
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_jina_bert_v2::load_arch_tensors(llama_model_loader & ml) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd  = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0); // word_embeddings
+    type_embd = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, 0); // token_type_embeddings
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0); // LayerNorm
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0); // LayerNorm bias
+
+    cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, 1}, TENSOR_NOT_REQUIRED);
+    cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {1},         TENSOR_NOT_REQUIRED);
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i]; // JinaBertLayer
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0); //output_dens
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0); //output_dens
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0); //output_norm
+        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias",   i), {n_embd}, 0);
+
+        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, TENSOR_NOT_REQUIRED);
+
+        const auto tn_ffn_up_weight = tn(LLM_TENSOR_FFN_UP, "weight", i);
+        ggml_tensor * t_ffn_up = ml.get_tensor_meta(tn_ffn_up_weight.str().c_str());
+        const int64_t n_ffn_up = t_ffn_up ? t_ffn_up->ne[1] : n_ff;
+
+        GGML_ASSERT(n_ffn_up == n_ff || n_ffn_up == n_ff * 2);
+        layer.ffn_up   = create_tensor(tn_ffn_up_weight, {n_embd, n_ffn_up}, 0);
+        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), {n_ffn_up}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, 0);
+
+        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias",   i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_jina_bert_v2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/jina-bert-v3.cpp b/src/models/jina-bert-v3.cpp
new file mode 100644
index 000000000..e0527529f
--- /dev/null
+++ b/src/models/jina-bert-v3.cpp
@@ -0,0 +1,69 @@
+#include "models.h"
+
+void llama_model_jina_bert_v3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 24:
+            type = LLM_TYPE_558M; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_jina_bert_v3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_token_types == 0) {
+        throw std::runtime_error(arch_name() + " model needs to define token type count");
+    }
+    tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
+    type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
+
+    if (arch == LLM_ARCH_BERT) {
+        pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train}, 0);
+
+        cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+        cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
+
+        cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+        cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+    }
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
+
+        if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) {
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff,   n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff,   n_embd, n_expert}, 0);
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,   "weight", i), {n_embd, n_expert}, 0);
+        } else {
+            layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+            if (arch == LLM_ARCH_NOMIC_BERT) {
+                layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            }
+        }
+
+        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i),   {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_jina_bert_v3::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/kimi-linear.cpp b/src/models/kimi-linear.cpp
index f189b7107..ecffb1054 100644
--- a/src/models/kimi-linear.cpp
+++ b/src/models/kimi-linear.cpp
@@ -1,7 +1,175 @@
 #include "models.h"
-
 #include "llama-memory-recurrent.h"
 
+void llama_model_kimi_linear::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH_MLA,    hparams.n_embd_head_k_mla_impl);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH_MLA,  hparams.n_embd_head_v_mla_impl);
+    ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,      hparams.n_lora_kv);
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,             hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_KDA_HEAD_DIM,                hparams.n_embd_head_kda);
+
+    // MLA qk_rope_head_dim (for reference)
+    // qk_rope_head_dim = 64, qk_nope_head_dim = 128, qk_head_dim = 192
+
+    // Mark KDA layers as recurrent using n_head_kv pattern (like Jamba)
+    // Set n_head_kv = 0 for KDA layers (recurrent), n_head_kv = n_head for MLA layers (attention)
+    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+        hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;  // KDA layers are recurrent
+    }
+
+    // MoE parameters - Kimi uses moe_intermediate_size = 1024
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,         hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func);
+
+    switch (hparams.n_layer) {
+        case 27: type = LLM_TYPE_48B_A3B; break; // Kimi-Linear-48B-A3B
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_kimi_linear::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        // Check for KDA specific tensors to determine layer type or if it's a mixed model
+        // Assuming KDA layer if KDA tensors are present
+
+        // KDA uses head_dim = 128 (from linear_attn_config.head_dim)
+        const int64_t n_embd_head_k_kda = hparams.n_embd_head_kda;
+        const int64_t n_embd_head_v_kda = hparams.n_embd_head_kda;
+        const int64_t ssm_d_conv = hparams.ssm_d_conv;
+
+        if (hparams.is_recurrent(i)) {
+            // Conv1d weights: try 4D first, then 3D (quantization may remove trailing 1)
+            // 4D: [d_conv, 1, d_inner, 1], 3D: [d_conv, 1, d_inner]
+            layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
+            if (!layer.ssm_q_conv) {
+                layer.ssm_q_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_Q, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0);
+            }
+
+             // KDA Layer - Conv1d weights may be 3D or 4D
+             layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
+             if (!layer.ssm_k_conv) {
+                 layer.ssm_k_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_K, "weight", i), {ssm_d_conv, 1, n_embd_head_k_kda * n_head}, 0);
+             }
+             layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head, 1}, TENSOR_NOT_REQUIRED);
+             if (!layer.ssm_v_conv) {
+                 layer.ssm_v_conv = create_tensor(tn(LLM_TENSOR_SSM_CONV1D_V, "weight", i), {ssm_d_conv, 1, n_embd_head_v_kda * n_head}, 0);
+             }
+
+             // q, k, v projections
+             // Python: q_proj, k_proj, v_proj
+             create_tensor_qkv(layer, i, n_embd, n_embd_head_k_kda * n_head, n_embd_head_k_kda * n_head, n_embd_head_v_kda * n_head, 0);
+
+             // KDA specific projections
+             // f_a_proj, f_b_proj
+             layer.ssm_f_a = create_tensor(tn(LLM_TENSOR_SSM_F_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0); // head_dim
+             layer.ssm_f_b = create_tensor(tn(LLM_TENSOR_SSM_F_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0); // projection_size
+
+             // b_proj (beta mixing coefficient)
+             layer.ssm_beta = create_tensor(tn(LLM_TENSOR_SSM_BETA, "weight", i), {n_embd, n_head}, 0);
+
+             // A_log - Shape in GGUF: [1, num_heads, 1, 1] (4D) or [1, num_heads] (2D after quantization) Note: -exp(A_log) is applied in convert_hf_to_gguf.py
+             layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head, 1, 1}, TENSOR_NOT_REQUIRED);
+             if (!layer.ssm_a) {
+                 layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0);
+             }
+
+             // dt_bias - shape [n_embd_head_k_kda * n_head] = [4096]
+             layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_embd_head_k_kda * n_head}, 0);
+
+             // g_a_proj, g_b_proj (output gate)
+             layer.ssm_g_a = create_tensor(tn(LLM_TENSOR_SSM_G_A, "weight", i), {n_embd, n_embd_head_k_kda}, 0);
+             layer.ssm_g_b = create_tensor(tn(LLM_TENSOR_SSM_G_B, "weight", i), {n_embd_head_k_kda, n_embd_head_k_kda * n_head}, 0);
+
+             // o_norm (reusing SSM_NORM)
+             layer.ssm_o_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {n_embd_head_k_kda}, 0); // FusedRMSNormGated
+
+             // o_proj
+             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v_kda * n_head, n_embd}, 0);
+
+        } else {
+             // MLA Layer - use MLA-specific head dimensions
+             const int64_t q_lora_rank  = hparams.n_lora_q;
+             const int64_t kv_lora_rank = hparams.n_lora_kv;
+             const int64_t n_embd_head_k_mla = hparams.n_embd_head_k_mla();
+             const int64_t n_embd_head_v_mla = hparams.n_embd_head_v_mla();
+
+             layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, TENSOR_NOT_REQUIRED);
+             layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
+
+             if (layer.attn_q_a_norm) {
+                 layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
+                 layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k_mla}, 0);
+             } else {
+                 // Kimi MLA without Q compression: wq = [n_embd, n_head * n_embd_head_k_mla]
+                 layer.wq = create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_head * n_embd_head_k_mla}, 0);
+             }
+
+             // Kimi: qk_rope_head_dim = 64 (actual RoPE dimension for MLA)
+             // Note: hparams.n_rot may be 72 (from conversion) but actual is 64
+             const int64_t qk_rope_head_dim = hparams.n_rot();  // From config: qk_rope_head_dim
+             layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + qk_rope_head_dim}, 0);
+             // Support Legacy GGUFs that don't split wkv_b (MLA KV cache disabled)
+             layer.wkv_b = create_tensor(tn(LLM_TENSOR_ATTN_KV_B, "weight", i),
+                {kv_lora_rank, n_head * (n_embd_head_k_mla - qk_rope_head_dim + n_embd_head_v_mla)}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+             if (!layer.wkv_b) { // MLA KV cache enabled
+                 layer.wk_b = create_tensor(tn(LLM_TENSOR_ATTN_K_B, "weight", i), {n_embd_head_k_mla - qk_rope_head_dim, kv_lora_rank, n_head}, 0);
+                 layer.wv_b = create_tensor(tn(LLM_TENSOR_ATTN_V_B, "weight", i), {kv_lora_rank, n_embd_head_v_mla, n_head}, 0);
+             }
+             layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_embd_head_v_mla, n_embd}, 0);
+        }
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        // MoE intermediate size (different from dense FFN)
+        const int64_t n_ff_exp = hparams.n_ff_exp;
+
+        // Kimi uses n_layer_dense_lead to determine which layers use dense FFN vs MoE
+        // first_k_dense_replace = 1 means layer 0 uses dense FFN, layers 1+ use MoE
+        if (i < (int) hparams.n_layer_dense_lead) {
+            // Dense FFN layer - use normal n_ff
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        } else {
+            // MoE layer - use n_ff_exp (1024) instead of n_ff (9216)
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp, n_expert}, 0);
+
+            // Shared experts use moe_intermediate_size * num_shared_experts
+            // Kimi: shared_expert_intermediate_size = 1024 * 1 = 1024
+            // Tensors are 2D: [n_embd, n_ff_shexp] or [n_ff_shexp, n_embd]
+            const int64_t n_ff_shexp_actual = n_ff_exp * (hparams.n_expert_shared > 0 ? hparams.n_expert_shared : 1);
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp_actual, n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp_actual}, TENSOR_NOT_REQUIRED);
+
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_kimi_linear::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
 // Causal Conv1d function for Q,K,V
 // When qkv is 0, it is Q, 1 is K, 2 is V
 static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_tensor * conv_states_all, ggml_tensor * conv_state_all, int64_t qkv, ggml_tensor * x, ggml_tensor * proj_w, ggml_tensor * conv_w, int64_t d_conv, int64_t head_dim, int64_t n_head, int64_t n_seq_tokens, int64_t n_seqs, int64_t n_tokens, int64_t kv_head) {
@@ -63,7 +231,7 @@ static ggml_tensor * causal_conv1d(ggml_cgraph * gf, ggml_context * ctx0, ggml_t
     return ggml_reshape_4d(ctx0, Xcur, head_dim, n_head, n_seq_tokens, n_seqs);
 }
 
-llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params) :
+llama_model_kimi_linear::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_delta_net_base(params), model(model) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -268,7 +436,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
                 ggml_tensor * Vcur = kv_cmpr;
                 cb(Vcur, "Vcur", il);
 
-                cur = build_attn(inp_attn_k, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, layer.wv_b, kq_scale_mla, il);
+                cur = build_attn(inp_attn_k, layer.wo, NULL, layer.wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, layer.wv_b, kq_scale_mla, il);
                 cb(cur, "mla_out", il);
             } else { // MLA KV cache disabled. Fall back to MHA KV cache.
                 Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k_mla, n_head, n_tokens);
@@ -299,7 +467,7 @@ llm_build_kimi_linear::llm_build_kimi_linear(const llama_model & model, const ll
 
                 // Direct softmax attention (with MHA KV cache)
                 // Use build_attn with inp_attn for proper mask handling
-                cur = build_attn(inp_attn_kv, layer.wo, NULL, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il);
+                cur = build_attn(inp_attn_kv, layer.wo, NULL, layer.wo_s, Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale_mla, il);
                 cb(cur, "mla_out", il);
             }
         }
diff --git a/src/models/lfm2.cpp b/src/models/lfm2.cpp
index 925c3dc9b..df6a80287 100644
--- a/src/models/lfm2.cpp
+++ b/src/models/lfm2.cpp
@@ -1,10 +1,94 @@
 #include "models.h"
-
 #include "../llama-memory-hybrid-iswa.h"
 #include "../llama-memory-hybrid.h"
 
+void llama_model_lfm2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SHORTCONV_L_CACHE,           hparams.n_shortconv_l_cache);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    for (uint32_t il = 0; il < hparams.n_layer; ++il) {
+        hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0;
+    }
+    hparams.n_layer_dense_lead = hparams.n_layer;
+    switch (hparams.n_ff()) {
+        case  4608: type = LLM_TYPE_350M; break;
+        case  6912: type = LLM_TYPE_700M; break;
+        case  8192: type = LLM_TYPE_1_2B; break;
+        case 10752: type = LLM_TYPE_2_6B; break;
+        default:    type = LLM_TYPE_UNKNOWN;
+    }
+    if (const auto is_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); is_swa && hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        for (uint32_t il = 0; il < hparams.n_layer; ++il) {
+            hparams.swa_layers[il] = !hparams.recurrent_layer_arr[il];
+        }
+    }
+}
+
+void llama_model_lfm2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,           "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        const bool is_moe_layer = i >= static_cast<int>(hparams.n_layer_dense_lead);
+
+        // ffn/moe is same for transformer and conv layers
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        if (is_moe_layer) {
+            GGML_ASSERT(n_expert && n_expert_used);
+            layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i),  {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps   = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp,   n_embd, n_expert}, 0);
+            layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i),   {n_embd, hparams.n_ff_exp, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
+        } else {  // dense
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        }
+
+        // for operator_norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (!hparams.is_recurrent(i)) {
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+            GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa);
+
+            create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0);
+
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        } else {
+            layer.shortconv.conv     = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV,    "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0);
+            layer.shortconv.in_proj  = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ,  "weight", i), {n_embd, 3 * n_embd}, 0);
+            layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0);
+        }
+    }
+
+    // for LFM2-ColBert-350M
+    dense_2_out_layers   = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED);
+    dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"),   {hparams.n_embd_out()        }, TENSOR_NOT_REQUIRED);
+}
+
+std::unique_ptr<llm_graph_context> llama_model_lfm2::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>>(*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template <bool iswa>
-llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_params & params) :
+llama_model_lfm2::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     using inp_hybrid_type = std::conditional_t<iswa, llm_graph_input_mem_hybrid_iswa,  llm_graph_input_mem_hybrid>;
     using inp_attn_type   = std::conditional_t<iswa, llm_graph_input_attn_kv_iswa,     llm_graph_input_attn_kv>;
@@ -42,16 +126,8 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
         const auto n_embd_head = hparams.n_embd_head_v();
         const auto n_head_kv   = hparams.n_head_kv(il);
 
-        auto * q = build_lora_mm(model.layers[il].wq, cur);
-        cb(q, "model.layers.{}.self_attn.q_proj", il);
-        auto * k = build_lora_mm(model.layers[il].wk, cur);
-        cb(k, "model.layers.{}.self_attn.k_proj", il);
-        auto * v = build_lora_mm(model.layers[il].wv, cur);
-        cb(v, "model.layers.{}.self_attn.v_proj", il);
-
-        q = ggml_reshape_3d(ctx0, q, n_embd_head, n_head, n_tokens);
-        k = ggml_reshape_3d(ctx0, k, n_embd_head, n_head_kv, n_tokens);
-        v = ggml_reshape_3d(ctx0, v, n_embd_head, n_head_kv, n_tokens);
+        auto [q, k, v] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         // qk norm
         q = build_norm(q, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
@@ -66,7 +142,7 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
                           attn_factor, beta_fast, beta_slow);
 
         cur = build_attn(inp_attn,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 q, k, v, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
 
         cb(cur, "model.layers.{}.self_attn.out_proj", il);
@@ -195,5 +271,5 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
 }
 
 // Explicit template instantiations
-template struct llm_build_lfm2<true>;
-template struct llm_build_lfm2<false>;
+template struct llama_model_lfm2::graph<true>;
+template struct llama_model_lfm2::graph<false>;
diff --git a/src/models/lfm2moe.cpp b/src/models/lfm2moe.cpp
new file mode 100644
index 000000000..12a66c05c
--- /dev/null
+++ b/src/models/lfm2moe.cpp
@@ -0,0 +1,85 @@
+#include "models.h"
+#include "../llama-memory-hybrid-iswa.h"
+#include "../llama-memory-hybrid.h"
+
+void llama_model_lfm2moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SHORTCONV_L_CACHE,           hparams.n_shortconv_l_cache);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_LEADING_DENSE_BLOCK_COUNT,   hparams.n_layer_dense_lead, false);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func);
+
+    for (uint32_t il = 0; il < hparams.n_layer; ++il) {
+        hparams.recurrent_layer_arr[il] = hparams.n_head_kv(il) == 0;
+    }
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_8B_A1B;  break;
+        case 40: type = LLM_TYPE_24B_A2B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_lfm2moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM_LFM2, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,           "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        const bool is_moe_layer = i >= static_cast<int>(hparams.n_layer_dense_lead);
+
+        // ffn/moe is same for transformer and conv layers
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        if (is_moe_layer) {
+            GGML_ASSERT(n_expert && n_expert_used);
+            layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i),  {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps   = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, hparams.n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {hparams.n_ff_exp,   n_embd, n_expert}, 0);
+            layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i),   {n_embd, hparams.n_ff_exp, n_expert}, 0);
+            layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
+        } else {  // dense
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        }
+
+        // for operator_norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (!hparams.is_recurrent(i)) {
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+            GGML_ASSERT(n_embd_v_gqa == n_embd_k_gqa);
+
+            create_tensor_qkv(layer, i, n_embd, n_embd, hparams.n_embd_k_gqa(i), hparams.n_embd_v_gqa(i), 0);
+
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        } else {
+            layer.shortconv.conv     = create_tensor(tn(LLM_TENSOR_SHORTCONV_CONV,    "weight", i), {hparams.n_shortconv_l_cache, n_embd}, 0);
+            layer.shortconv.in_proj  = create_tensor(tn(LLM_TENSOR_SHORTCONV_INPROJ,  "weight", i), {n_embd, 3 * n_embd}, 0);
+            layer.shortconv.out_proj = create_tensor(tn(LLM_TENSOR_SHORTCONV_OUTPROJ, "weight", i), {n_embd, n_embd}, 0);
+        }
+    }
+
+    // for LFM2-ColBert-350M
+    dense_2_out_layers   = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "weight"), {n_embd, hparams.n_embd_out()}, TENSOR_NOT_REQUIRED);
+    dense_2_out_layers_b = create_tensor(tn(LLM_TENSOR_DENSE_2_OUT, "bias"),   {hparams.n_embd_out()        }, TENSOR_NOT_REQUIRED);
+}
+
+std::unique_ptr<llm_graph_context> llama_model_lfm2moe::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>>(*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
diff --git a/src/models/llada-moe.cpp b/src/models/llada-moe.cpp
index 18de88fde..b60f67f6c 100644
--- a/src/models/llada-moe.cpp
+++ b/src/models/llada-moe.cpp
@@ -1,6 +1,56 @@
 #include "models.h"
 
-llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_llada_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // diffusion language model uses non-causal attention
+    hparams.causal_attn = false;
+    switch (hparams.n_layer) {
+        case 16: type = LLM_TYPE_A1_7B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_llada_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for llada-moe");
+    GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for llada-moe");
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_llada_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_llada_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +80,8 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,7 +106,7 @@ llm_build_llada_moe::llm_build_llada_moe(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/llada.cpp b/src/models/llada.cpp
index 0dac9d616..fa21c5fe3 100644
--- a/src/models/llada.cpp
+++ b/src/models/llada.cpp
@@ -1,6 +1,72 @@
 #include "models.h"
 
-llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_llada::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    // LLaDA-8B has 32 layers, similar to LLaMA but for diffusion
+    switch (hparams.n_layer) {
+        case 32:
+            type = LLM_TYPE_8B;
+            break;
+        default:
+            type = LLM_TYPE_UNKNOWN;
+    }
+    // Set non-causal attention for diffusion models
+    hparams.causal_attn = false;
+}
+
+void llama_model_llada::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output =
+            create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+
+        // Use separate Q, K, V projections without bias, matching LLaDALlamaBlock
+        layer.wq =
+            create_tensor(tn(LLM_TENSOR_ATTN_Q, "weight", i), { n_embd, n_embd_head_k * n_head }, 0);
+        layer.wk = create_tensor(tn(LLM_TENSOR_ATTN_K, "weight", i), { n_embd, n_embd_k_gqa }, 0);
+        layer.wv = create_tensor(tn(LLM_TENSOR_ATTN_V, "weight", i), { n_embd, n_embd_v_gqa }, 0);
+        // No bias for QKV projections as per config: include_bias=false, include_qkv_bias=false
+        layer.wo =
+            create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
+
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), { n_rot / 2 },
+                                         TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), { n_embd, n_ff }, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, n_ff }, 0);
+
+        // optional MLP bias
+        layer.ffn_gate_b =
+            create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_b =
+            create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), { n_embd }, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i), { n_ff }, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_llada::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_llada::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     // LLaDA is similar to LLaMA but uses non-causal attention for diffusion
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -30,17 +96,8 @@ llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute separate Q, K, V projections without bias, matching LLaDALlamaBlock
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                                     ext_factor, attn_factor, beta_fast, beta_slow);
@@ -53,7 +110,7 @@ llm_build_llada::llm_build_llada(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/llama-embed.cpp b/src/models/llama-embed.cpp
new file mode 100644
index 000000000..0699e7444
--- /dev/null
+++ b/src/models/llama-embed.cpp
@@ -0,0 +1,6 @@
+#include "models.h"
+
+std::unique_ptr<llm_graph_context> llama_model_llama_embed::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph<true>>(*this, params);
+}
+
diff --git a/src/models/llama-iswa.cpp b/src/models/llama-iswa.cpp
deleted file mode 100644
index 67cb9a10e..000000000
--- a/src/models/llama-iswa.cpp
+++ /dev/null
@@ -1,178 +0,0 @@
-#include "models.h"
-
-llm_build_llama_iswa::llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-    GGML_ASSERT(n_embd_head == n_rot);
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    // inp_pos - contains the positions
-    ggml_tensor * inp_pos = build_inp_pos();
-
-    // temperature tuning
-    ggml_tensor * inp_attn_scale = nullptr;
-    inp_attn_scale = build_inp_attn_scale();
-
-    auto * inp_attn = build_attn_inp_kv_iswa();
-
-    const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f/sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        const float freq_base_l  = model.get_rope_freq_base (cparams, il);
-        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
-
-        ggml_tensor * inpSA = inpL;
-
-        // This overlaps with SWA layers in current models, so get_rope_freq_base/scale may be superfluous
-        const bool use_rope = hparams.n_no_rope_layer_step > 0 &&
-                              (il + 1) % hparams.n_no_rope_layer_step != 0;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            // rope freq factors for llama3; may return nullptr for llama2 and other models
-            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
-
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            if (use_rope) {
-                Qcur = ggml_rope_ext(
-                        ctx0, Qcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-
-                Kcur = ggml_rope_ext(
-                        ctx0, Kcur, inp_pos, rope_factors,
-                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                        ext_factor, attn_factor, beta_fast, beta_slow
-                        );
-            } else if (inp_attn_scale) {
-                Qcur = ggml_mul(ctx0, Qcur, inp_attn_scale);
-            }
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            if (use_rope && hparams.use_kq_norm) {
-                // Llama4TextL2Norm
-                Qcur = ggml_rms_norm(ctx0, Qcur, hparams.f_norm_rms_eps);
-                Kcur = ggml_rms_norm(ctx0, Kcur, hparams.f_norm_rms_eps);
-                cb(Qcur, "Qcur_normed", il);
-                cb(Kcur, "Kcur_normed", il);
-            }
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
-            cb(cur, "attn_out", il);
-        }
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network (non-MoE)
-        if (model.layers[il].ffn_gate_inp == nullptr) {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
-                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
-                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
-                    NULL,
-                    LLM_FFN_SILU, LLM_FFN_PAR, il);
-            cb(cur, "ffn_out", il);
-        } else {
-            ggml_tensor * ffn_inp_normed = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            ggml_tensor * moe_out = build_moe_ffn(ffn_inp_normed,
-                    model.layers[il].ffn_gate_inp,
-                    model.layers[il].ffn_up_exps,
-                    model.layers[il].ffn_gate_exps,
-                    model.layers[il].ffn_down_exps,
-                    nullptr,
-                    n_expert, n_expert_used,
-                    LLM_FFN_SILU, false,
-                    hparams.expert_weights_scale,
-                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
-                    il);
-
-            // Shared experts
-            ggml_tensor * shexp_out = build_ffn(ffn_inp_normed,
-                model.layers[il].ffn_up_shexp,   NULL, NULL,
-                model.layers[il].ffn_gate_shexp, NULL, NULL,
-                model.layers[il].ffn_down_shexp, NULL, NULL,
-                NULL,
-                LLM_FFN_SILU, LLM_FFN_PAR, il);
-            cb(shexp_out, "ffn_moe_shexp", il);
-
-            cur = ggml_add(ctx0, moe_out, shexp_out);
-            cb(cur, "ffn_moe_out_merged", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/llama.cpp b/src/models/llama.cpp
index e08ae0c0b..10523117c 100644
--- a/src/models/llama.cpp
+++ b/src/models/llama.cpp
@@ -1,7 +1,101 @@
 #include "models.h"
 
+void llama_model_llama::load_arch_hparams(llama_model_loader & ml) {
+    const auto n_vocab = vocab.n_tokens();
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    if (hparams.n_expert == 8) {
+        switch (hparams.n_layer) {
+            case 32: type = LLM_TYPE_8x7B; break;
+            case 56: type = LLM_TYPE_8x22B; break;
+            default: type = LLM_TYPE_UNKNOWN;
+        }
+    } else {
+        switch (hparams.n_layer) {
+            case 16: type = LLM_TYPE_1B; break; // Llama 3.2 1B
+            case 22: type = LLM_TYPE_1B; break;
+            case 26: type = LLM_TYPE_3B; break;
+            case 28: type = LLM_TYPE_3B; break; // Llama 3.2 3B
+            case 30: type = LLM_TYPE_256M; break; // smoldocling 256M
+            // granite uses a vocab with len 49152
+            case 32: type = n_vocab == 49152 ? LLM_TYPE_3B : (n_vocab < 40000 ? LLM_TYPE_7B : LLM_TYPE_8B); break;
+            case 36: type = LLM_TYPE_8B; break; // granite
+            case 40: type = LLM_TYPE_13B; break;
+            case 48: type = LLM_TYPE_34B; break;
+            case 60: type = LLM_TYPE_30B; break;
+            case 80: type = hparams.n_head() == hparams.n_head_kv() ? LLM_TYPE_65B : LLM_TYPE_70B; break;
+            default: type = LLM_TYPE_UNKNOWN;
+        }
+    }
+}
+
+void llama_model_llama::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_llama::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph<false>>(*this, params);
+}
+
 template <bool embed>
-llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_llama::graph<embed>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -43,27 +137,8 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -89,11 +164,8 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
                 cb(Kcur, "Kcur_normed", il);
             }
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
-            if (model.layers[il].wo_s) {
-                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
-            }
             cb(cur, "attn_out", il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -171,5 +243,5 @@ llm_build_llama<embed>::llm_build_llama(const llama_model & model, const llm_gra
     ggml_build_forward_expand(gf, cur);
 }
 
-template struct llm_build_llama<false>;
-template struct llm_build_llama<true>;
+template struct llama_model_llama::graph<false>;
+template struct llama_model_llama::graph<true>;
diff --git a/src/models/llama4.cpp b/src/models/llama4.cpp
new file mode 100644
index 000000000..899611d53
--- /dev/null
+++ b/src/models/llama4.cpp
@@ -0,0 +1,273 @@
+#include "models.h"
+
+void llama_model_llama4::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_INTERLEAVE_MOE_LAYER_STEP,   hparams.n_moe_layer_step);
+
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    if (found_swa && hparams.n_swa == 0) {
+        hparams.swa_type             = LLAMA_SWA_TYPE_NONE;
+        hparams.n_no_rope_layer_step = hparams.n_layer; // always use rope
+    } else {
+        hparams.swa_type                = LLAMA_SWA_TYPE_CHUNKED;
+        hparams.n_swa                   = 8192;
+        hparams.n_attn_temp_floor_scale = 8192;
+        hparams.f_attn_temp_scale       = 0.1f;
+        hparams.f_attn_temp_offset      = 1.0f;
+        uint32_t swa_period             = 4; // pattern: 3 chunked - 1 full
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+
+        hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+        hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    }
+
+    switch (hparams.n_expert) {
+        case 0: {
+            // MobileLLM (no MoE)
+            switch (hparams.n_embd) {
+                case 2048: type = LLM_TYPE_140M; break;
+                case 4096: type = LLM_TYPE_360M; break;
+                case 6144: type = LLM_TYPE_950M; break;
+                default:   type = LLM_TYPE_UNKNOWN;
+            }
+        } break;
+        case 16:  type = LLM_TYPE_17B_16E; break;
+        case 128: type = LLM_TYPE_17B_128E; break;
+        default:  type = LLM_TYPE_UNKNOWN;
+    }
+
+    hparams.use_kq_norm = type != LLM_TYPE_17B_128E;
+}
+
+void llama_model_llama4::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_expert == 0) {
+        throw std::runtime_error(arch_name() + " model cannot have zero experts");
+    }
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        const bool is_moe_layer = hparams.n_moe_layer_step > 0 && (i + 1) % hparams.n_moe_layer_step == 0;
+
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+
+        if (is_moe_layer) {
+            const int64_t n_ff_exp = hparams.n_ff_exp;
+
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff_exp, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff_exp, n_expert}, 0);
+
+            // Shared expert
+            const int64_t n_ff_shexp = n_ff_exp;
+            layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, n_ff_shexp}, 0);
+            layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd    }, 0);
+            layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, n_ff_shexp}, 0);
+        } else {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_llama4::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_NONE) {
+        return std::make_unique<graph<false>>(*this, params);
+    } else {
+        return std::make_unique<graph<true>>(*this, params);
+    }
+}
+
+template <bool iswa>
+llama_model_llama4::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    // temperature tuning
+    ggml_tensor * inp_attn_scale = nullptr;
+    inp_attn_scale = build_inp_attn_scale();
+
+    using inp_attn_type = std::conditional_t<iswa, llm_graph_input_attn_kv_iswa, llm_graph_input_attn_kv>;
+    inp_attn_type * inp_attn = nullptr;
+
+    if constexpr (iswa) {
+        inp_attn = build_attn_inp_kv_iswa();
+    } else {
+        inp_attn = build_attn_inp_kv();
+    }
+
+    const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f/sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        const float freq_base_l  = model.get_rope_freq_base (cparams, il);
+        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
+
+        ggml_tensor * inpSA = inpL;
+
+        // This overlaps with SWA layers in current models, so get_rope_freq_base/scale may be superfluous
+        const bool use_rope = hparams.n_no_rope_layer_step > 0 &&
+                              (il + 1) % hparams.n_no_rope_layer_step != 0;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+
+        // self-attention
+        {
+            // rope freq factors for llama3; may return nullptr for llama2 and other models
+            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
+
+            // compute Q and K and RoPE them
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
+
+            if (use_rope) {
+                Qcur = ggml_rope_ext(
+                        ctx0, Qcur, inp_pos, rope_factors,
+                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                        ext_factor, attn_factor, beta_fast, beta_slow
+                        );
+
+                Kcur = ggml_rope_ext(
+                        ctx0, Kcur, inp_pos, rope_factors,
+                        n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                        ext_factor, attn_factor, beta_fast, beta_slow
+                        );
+            } else if (inp_attn_scale) {
+                Qcur = ggml_mul(ctx0, Qcur, inp_attn_scale);
+            }
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            if (use_rope && hparams.use_kq_norm) {
+                // Llama4TextL2Norm
+                Qcur = ggml_rms_norm(ctx0, Qcur, hparams.f_norm_rms_eps);
+                Kcur = ggml_rms_norm(ctx0, Kcur, hparams.f_norm_rms_eps);
+                cb(Qcur, "Qcur_normed", il);
+                cb(Kcur, "Kcur_normed", il);
+            }
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
+            cb(cur, "attn_out", il);
+        }
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // feed-forward network (non-MoE)
+        if (model.layers[il].ffn_gate_inp == nullptr) {
+            cur = build_norm(ffn_inp,
+                    model.layers[il].ffn_norm, NULL,
+                    LLM_NORM_RMS, il);
+            cb(cur, "ffn_norm", il);
+
+            cur = build_ffn(cur,
+                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
+                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
+                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
+                    NULL,
+                    LLM_FFN_SILU, LLM_FFN_PAR, il);
+            cb(cur, "ffn_out", il);
+        } else {
+            ggml_tensor * ffn_inp_normed = build_norm(ffn_inp,
+                    model.layers[il].ffn_norm, NULL,
+                    LLM_NORM_RMS, il);
+            cb(cur, "ffn_norm", il);
+
+            ggml_tensor * moe_out = build_moe_ffn(ffn_inp_normed,
+                    model.layers[il].ffn_gate_inp,
+                    model.layers[il].ffn_up_exps,
+                    model.layers[il].ffn_gate_exps,
+                    model.layers[il].ffn_down_exps,
+                    nullptr,
+                    n_expert, n_expert_used,
+                    LLM_FFN_SILU, false,
+                    hparams.expert_weights_scale,
+                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
+                    il);
+
+            // Shared experts
+            ggml_tensor * shexp_out = build_ffn(ffn_inp_normed,
+                model.layers[il].ffn_up_shexp,   NULL, NULL,
+                model.layers[il].ffn_gate_shexp, NULL, NULL,
+                model.layers[il].ffn_down_shexp, NULL, NULL,
+                NULL,
+                LLM_FFN_SILU, LLM_FFN_PAR, il);
+            cb(shexp_out, "ffn_moe_shexp", il);
+
+            cur = ggml_add(ctx0, moe_out, shexp_out);
+            cb(cur, "ffn_moe_out_merged", il);
+        }
+        cur = ggml_add(ctx0, cur, ffn_inp);
+        cb(cur, "ffn_out", il);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
+
+// Explicit template instantiations
+template struct llama_model_llama4::graph<false>;
+template struct llama_model_llama4::graph<true>;
diff --git a/src/models/maincoder.cpp b/src/models/maincoder.cpp
index a72b7790a..3dbd82fd3 100644
--- a/src/models/maincoder.cpp
+++ b/src/models/maincoder.cpp
@@ -1,6 +1,49 @@
 #include "models.h"
 
-llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_maincoder::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_1B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_maincoder::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_maincoder::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_maincoder::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +73,8 @@ llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_gr
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -66,7 +99,7 @@ llm_build_maincoder::llm_build_maincoder(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/mamba.cpp b/src/models/mamba.cpp
index 55fd2e055..b7708d7fd 100644
--- a/src/models/mamba.cpp
+++ b/src/models/mamba.cpp
@@ -1,6 +1,90 @@
 #include "models.h"
 
-llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
+void llama_model_mamba::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_DT_B_C_RMS,     hparams.ssm_dt_b_c_rms, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 24:
+            switch (hparams.n_embd) {
+                case 768: type = LLM_TYPE_SMALL; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 48:
+            switch (hparams.n_embd) {
+                case 1024: type = LLM_TYPE_MEDIUM; break;
+                case 1536: type = LLM_TYPE_LARGE; break;
+                case 2048: type = LLM_TYPE_XL; break;
+                default:   type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 64:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_3B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_mamba::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t d_conv  = hparams.ssm_d_conv;
+    const int64_t d_inner = hparams.ssm_d_inner;
+    const int64_t d_state = hparams.ssm_d_state;
+    const int64_t dt_rank = hparams.ssm_dt_rank;
+
+    // only an expansion factor of 2 is supported for now
+    if (2 * n_embd != d_inner) {
+        throw std::runtime_error("only an expansion factor of 2 is supported for now");
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed, duplicated to allow offloading
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        // norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, 2*d_inner}, 0);
+
+        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner}, 0);
+        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner}, 0);
+
+        layer.ssm_x = create_tensor(tn(LLM_TENSOR_SSM_X, "weight", i), {d_inner, dt_rank + 2*d_state}, 0);
+
+        layer.ssm_dt = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_rank, d_inner}, 0);
+        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {d_inner}, 0);
+
+        // no "weight" suffix for these
+        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {d_state, d_inner}, 0);
+        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {d_inner}, 0);
+
+        // out_proj
+        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_mamba::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_mamba::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_mamba_base(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -51,4 +135,3 @@ llm_build_mamba::llm_build_mamba(const llama_model & model, const llm_graph_para
 
     ggml_build_forward_expand(gf, cur);
 }
-
diff --git a/src/models/mamba2.cpp b/src/models/mamba2.cpp
new file mode 100644
index 000000000..3277ca53e
--- /dev/null
+++ b/src/models/mamba2.cpp
@@ -0,0 +1,87 @@
+#include "models.h"
+
+void llama_model_mamba2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 24:
+            switch (hparams.n_embd) {
+                case 768: type = LLM_TYPE_SMALL; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 48:
+            switch (hparams.n_embd) {
+                case 1024: type = LLM_TYPE_MEDIUM; break;
+                case 1536: type = LLM_TYPE_LARGE; break;
+                case 2048: type = LLM_TYPE_XL; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 64:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_3B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_mamba2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t d_conv  = hparams.ssm_d_conv;
+    const int64_t d_inner = hparams.ssm_d_inner;
+    const int64_t d_state = hparams.ssm_d_state;
+    const int64_t n_group = hparams.ssm_n_group;
+    const int64_t d_in_proj = 2*d_inner + 2*n_group*d_state + n_head;
+
+    // only an expansion factor of 2 is supported for now
+    GGML_ASSERT(2 * n_embd == d_inner);
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    {
+        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        // if output is NULL, init from the input tok embed, duplicated to allow offloading
+        if (output == NULL) {
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+        }
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        // norm
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
+
+        layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
+        layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, 0);
+
+        layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_head}, 0);
+
+        // no "weight" suffix for these
+        layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_head}, 0);
+        layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_head}, 0);
+
+        layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
+
+        // out_proj
+        layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_mamba2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/mimo2-iswa.cpp b/src/models/mimo2-iswa.cpp
deleted file mode 100644
index 06956915e..000000000
--- a/src/models/mimo2-iswa.cpp
+++ /dev/null
@@ -1,129 +0,0 @@
-#include "models.h"
-
-llm_build_mimo2_iswa::llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    ggml_tensor * inp_pos = build_inp_pos();
-    auto * inp_attn = build_attn_inp_kv_iswa();
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        uint32_t n_head_l    = hparams.n_head(il);
-        uint32_t n_head_kv_l = hparams.n_head_kv(il);
-        const float freq_base_l  = model.get_rope_freq_base(cparams, il);
-        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
-
-        cur = inpL;
-
-        // self_attention
-        {
-            cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il);
-            cb(cur, "attn_norm", il);
-
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head_l,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv_l, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head_v, n_head_kv_l, n_tokens);
-
-            Qcur = ggml_rope_ext(
-                ctx0, Qcur, inp_pos, nullptr,
-                n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                ext_factor, attn_factor, beta_fast, beta_slow
-                );
-
-            Kcur = ggml_rope_ext(
-                ctx0, Kcur, inp_pos, nullptr,
-                n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                ext_factor, attn_factor, beta_fast, beta_slow
-                );
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            ggml_tensor * sinks = model.layers[il].attn_sinks;
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
-                    Qcur, Kcur, Vcur, nullptr, sinks, nullptr, 1.0f/sqrtf(float(n_embd_head_k)), il);
-        }
-
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        cur = build_norm(ffn_inp,
-                model.layers[il].ffn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "ffn_norm", il);
-
-        // feed-forward network
-        if (model.layers[il].ffn_gate_inp == nullptr) {
-            // dense branch
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
-                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
-                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
-                    NULL,
-                    LLM_FFN_SILU, LLM_FFN_PAR, il);
-            cb(cur, "ffn_out", il);
-        } else {
-            // MoE branch
-            cur = build_moe_ffn(cur,
-                    model.layers[il].ffn_gate_inp,
-                    model.layers[il].ffn_up_exps,
-                    model.layers[il].ffn_gate_exps,
-                    model.layers[il].ffn_down_exps,
-                    model.layers[il].ffn_exp_probs_b,
-                    n_expert, n_expert_used,
-                    LLM_FFN_SILU, true,
-                    hparams.expert_weights_scale,
-                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
-                    il);
-            cb(cur, "ffn_moe_out", il);
-        }
-
-        cur = ggml_add(ctx0, cur, ffn_inp);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/mimo2.cpp b/src/models/mimo2.cpp
new file mode 100644
index 000000000..719966166
--- /dev/null
+++ b/src/models/mimo2.cpp
@@ -0,0 +1,240 @@
+#include "models.h"
+
+void llama_model_mimo2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,   hparams.n_swa);
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,         hparams.rope_freq_base_train_swa, false);
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
+
+    float value_scale = 0.0f;
+    if (ml.get_key(LLM_KV_ATTENTION_VALUE_SCALE, value_scale, false) && value_scale != 1.0f) {
+        hparams.f_attn_value_scale = value_scale;
+    }
+
+    ml.get_key(LLM_KV_NEXTN_PREDICT_LAYERS, hparams.nextn_predict_layers, false);
+    GGML_ASSERT(hparams.nextn_predict_layers < hparams.n_layer && "nextn_predict_layers must be < n_layer");
+    hparams.n_layer_kv_from_start = hparams.n_layer - hparams.nextn_predict_layers;
+
+    switch (hparams.n_layer - hparams.nextn_predict_layers) {
+        case 48: type = LLM_TYPE_310B_A15B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_mimo2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    const uint32_t n_nextn = hparams.nextn_predict_layers;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa(i);
+        uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa(i);
+        uint32_t n_head = hparams.n_head(i);
+
+        // NextN/MTP layers (the last n_nextn blocks) are preserved but disabled pending support
+        const bool is_nextn = (n_nextn > 0) && (static_cast<uint32_t>(i) >= n_layer - n_nextn);
+        const int  skip     = is_nextn ? TENSOR_SKIP : 0;
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, skip);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_v * n_head, n_embd }, skip);
+
+        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_ATTN_NORM,  "weight", i), {n_embd}, skip);
+        layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, TENSOR_NOT_REQUIRED | skip);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, skip);
+
+        // non-MoE branch
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED | skip);
+
+        // MoE branch
+        int64_t n_ff_exp = hparams.n_ff_exp;
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED | skip);
+        layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED | skip);
+
+        if (is_nextn) {
+            layer.nextn.eh_proj  = create_tensor(tn(LLM_TENSOR_NEXTN_EH_PROJ, "weight", i), {2 * n_embd, n_embd}, skip);
+            layer.nextn.enorm    = create_tensor(tn(LLM_TENSOR_NEXTN_ENORM,   "weight", i), {n_embd}, skip);
+            layer.nextn.hnorm    = create_tensor(tn(LLM_TENSOR_NEXTN_HNORM,   "weight", i), {n_embd}, skip);
+            layer.layer_out_norm = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, skip);
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_mimo2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_mimo2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    ggml_tensor * inp_pos = build_inp_pos();
+    auto * inp_attn = build_attn_inp_kv_iswa();
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    const float v_scale = hparams.f_attn_value_scale;
+
+    // The last hparams.nextn_predict_layers blocks are MTP heads, currently inactive
+    const int n_transformer_layers = n_layer - hparams.nextn_predict_layers;
+
+    for (int il = 0; il < n_transformer_layers; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        uint32_t n_head_l    = hparams.n_head(il);
+        uint32_t n_head_kv_l = hparams.n_head_kv(il);
+        const float freq_base_l  = model.get_rope_freq_base(cparams, il);
+        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
+
+        cur = inpL;
+
+        // self_attention
+        {
+            cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il);
+            cb(cur, "attn_norm", il);
+
+            ggml_tensor * Qcur;
+            ggml_tensor * Kcur;
+            ggml_tensor * Vcur;
+
+            if (model.layers[il].wqkv) {
+                // Fused qkv_proj - Q/K share head_dim_k, V uses head_dim_v
+                ggml_tensor * qkv = build_lora_mm(model.layers[il].wqkv, cur);
+                cb(qkv, "wqkv", il);
+
+                const size_t row_k    = ggml_row_size(qkv->type, n_embd_head_k);
+                const size_t row_v    = ggml_row_size(qkv->type, n_embd_head_v);
+                const size_t row_full = qkv->nb[1];
+                const size_t k_off    = row_k * n_head_l;
+                const size_t v_off    = k_off + row_k * n_head_kv_l;
+
+                Qcur = ggml_view_3d(ctx0, qkv, n_embd_head_k, n_head_l,    n_tokens, row_k, row_full, 0);
+                Kcur = ggml_view_3d(ctx0, qkv, n_embd_head_k, n_head_kv_l, n_tokens, row_k, row_full, k_off);
+                Vcur = ggml_view_3d(ctx0, qkv, n_embd_head_v, n_head_kv_l, n_tokens, row_v, row_full, v_off);
+            } else {
+                // Split path
+                Qcur = build_lora_mm(model.layers[il].wq, cur);
+                cb(Qcur, "Qcur", il);
+
+                Kcur = build_lora_mm(model.layers[il].wk, cur);
+                cb(Kcur, "Kcur", il);
+
+                Vcur = build_lora_mm(model.layers[il].wv, cur);
+                cb(Vcur, "Vcur", il);
+
+                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head_l,    n_tokens);
+                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv_l, n_tokens);
+                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head_v, n_head_kv_l, n_tokens);
+            }
+
+            Qcur = ggml_rope_ext(
+                ctx0, Qcur, inp_pos, nullptr,
+                n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                ext_factor, attn_factor, beta_fast, beta_slow
+                );
+
+            Kcur = ggml_rope_ext(
+                ctx0, Kcur, inp_pos, nullptr,
+                n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                ext_factor, attn_factor, beta_fast, beta_slow
+                );
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            ggml_tensor * sinks = model.layers[il].attn_sinks;
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, nullptr, sinks, nullptr, 1.0f/sqrtf(float(n_embd_head_k)), il);
+            cb(cur, "attn_out", il);
+
+            if (v_scale) {
+                cur = ggml_scale(ctx0, cur, v_scale);
+                cb(cur, "attn_out_scaled", il);
+            }
+        }
+
+        if (il == n_transformer_layers - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        cur = build_norm(ffn_inp,
+                model.layers[il].ffn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "ffn_norm", il);
+
+        // feed-forward network
+        if (model.layers[il].ffn_gate_inp == nullptr) {
+            // dense branch
+            cur = build_ffn(cur,
+                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
+                    model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
+                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
+                    NULL,
+                    LLM_FFN_SILU, LLM_FFN_PAR, il);
+            cb(cur, "ffn_out", il);
+        } else {
+            // MoE branch
+            cur = build_moe_ffn(cur,
+                    model.layers[il].ffn_gate_inp,
+                    model.layers[il].ffn_up_exps,
+                    model.layers[il].ffn_gate_exps,
+                    model.layers[il].ffn_down_exps,
+                    model.layers[il].ffn_exp_probs_b,
+                    n_expert, n_expert_used,
+                    LLM_FFN_SILU, true,
+                    hparams.expert_weights_scale,
+                    LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID,
+                    il);
+            cb(cur, "ffn_moe_out", il);
+        }
+
+        cur = ggml_add(ctx0, cur, ffn_inp);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/minicpm.cpp b/src/models/minicpm.cpp
new file mode 100644
index 000000000..966d3af61
--- /dev/null
+++ b/src/models/minicpm.cpp
@@ -0,0 +1,89 @@
+#include "models.h"
+
+void llama_model_minicpm::load_arch_hparams(llama_model_loader & ml) {
+    // Backward-compatible defaults for older MiniCPM GGUFs
+    hparams.f_embedding_scale = 12.0f;
+    hparams.f_residual_scale  = 1.4f / sqrtf(float(hparams.n_layer));
+    hparams.f_logit_scale     = hparams.n_embd ? (256.0f / float(hparams.n_embd)) : 1.0f;
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    // Optional KV reads, override defaults if present in newer GGUF exports
+    ml.get_key(LLM_KV_EMBEDDING_SCALE, hparams.f_embedding_scale, /*required=*/false);
+    ml.get_key(LLM_KV_RESIDUAL_SCALE, hparams.f_residual_scale, /*required=*/false);
+    ml.get_key(LLM_KV_LOGIT_SCALE, hparams.f_logit_scale, /*required=*/false);
+
+    // MiniCPM uses rope by default, unlike Granite which uses it as a switch
+    hparams.rope_finetuned = true;
+
+    switch (hparams.n_layer) {
+        case 52: type = LLM_TYPE_1B; break;
+        case 40: type = LLM_TYPE_2B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_minicpm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_minicpm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/minicpm3.cpp b/src/models/minicpm3.cpp
index 89dd71051..ff5eb6ffa 100644
--- a/src/models/minicpm3.cpp
+++ b/src/models/minicpm3.cpp
@@ -1,6 +1,66 @@
 #include "models.h"
 
-llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_minicpm3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_Q_LORA_RANK,       hparams.n_lora_q);
+    ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK,      hparams.n_lora_kv);
+
+    switch (hparams.n_layer) {
+        case 62: type = LLM_TYPE_4B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_minicpm3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
+
+    const int64_t q_lora_rank  = hparams.n_lora_q;
+    const int64_t kv_lora_rank = hparams.n_lora_kv;
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_q_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_A_NORM, "weight", i), {q_lora_rank}, 0);
+
+        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
+
+        layer.wq_a = create_tensor(tn(LLM_TENSOR_ATTN_Q_A, "weight", i), {n_embd, q_lora_rank}, 0);
+        layer.wq_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_B, "weight", i), {q_lora_rank, n_head * n_embd_head_k}, 0);
+
+        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0);
+        layer.wkv_b     = create_tensor(tn(LLM_TENSOR_ATTN_KV_B,     "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0);
+        layer.wo        = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {              n_head * (                      n_embd_head_v), n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head_qk_rope/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_minicpm3::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_minicpm3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     //TODO: if the model varies, these parameters need to be read from the model
     const int64_t n_embd_base = 256;
     const float scale_embd  = 12.0f;
@@ -134,7 +194,7 @@ llm_build_minicpm3::llm_build_minicpm3(const llama_model & model, const llm_grap
             cb(k_states, "k_states", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     q_states, k_states, v_states, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/minimax-m2.cpp b/src/models/minimax-m2.cpp
index 83d0916c0..0dee89346 100644
--- a/src/models/minimax-m2.cpp
+++ b/src/models/minimax-m2.cpp
@@ -1,6 +1,50 @@
 #include "models.h"
 
-llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_minimax_m2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,  hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,   hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,           hparams.expert_gating_func, false);
+
+    switch (hparams.n_layer) {
+        case 62: type = LLM_TYPE_230B_A10B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_minimax_m2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k * n_head}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_k_gqa}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
+        layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_minimax_m2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_minimax_m2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -64,7 +108,7 @@ llm_build_minimax_m2::llm_build_minimax_m2(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/mistral3.cpp b/src/models/mistral3.cpp
index 42a5117ff..708da49af 100644
--- a/src/models/mistral3.cpp
+++ b/src/models/mistral3.cpp
@@ -1,6 +1,96 @@
 #include "models.h"
 
-llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_mistral3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_TEMPERATURE_SCALE, hparams.f_attn_temp_scale, false);
+
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_FAST, hparams.yarn_beta_fast,    false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, hparams.yarn_beta_slow,    false);
+    ml.get_key(LLM_KV_ROPE_SCALING_YARN_LOG_MUL,   hparams.rope_yarn_log_mul, false);
+
+    hparams.f_attn_temp_offset = 0.0f;
+
+    // TODO: maybe add n_attn_temp_floor_scale as a separate KV?
+    if (hparams.f_attn_temp_scale != 0.0f) {
+        hparams.n_attn_temp_floor_scale = hparams.n_ctx_orig_yarn;
+        if (hparams.n_attn_temp_floor_scale == 0) {
+            throw std::runtime_error("invalid n_ctx_orig_yarn for attention temperature scaling");
+        }
+    }
+
+    switch (hparams.n_layer) {
+        case 26: type = LLM_TYPE_3B; break;
+        case 34: type = LLM_TYPE_8B; break;
+        case 40: type = LLM_TYPE_14B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_mistral3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_mistral3::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_mistral3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -41,27 +131,8 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap
             ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);
 
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
@@ -86,7 +157,7 @@ llm_build_mistral3::llm_build_mistral3(const llama_model & model, const llm_grap
             }
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/mistral4.cpp b/src/models/mistral4.cpp
new file mode 100644
index 000000000..3d9190650
--- /dev/null
+++ b/src/models/mistral4.cpp
@@ -0,0 +1,6 @@
+#include "models.h"
+
+std::unique_ptr<llm_graph_context> llama_model_mistral4::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/models.h b/src/models/models.h
index 8e6b9c238..6d5f18a8e 100644
--- a/src/models/models.h
+++ b/src/models/models.h
@@ -2,6 +2,7 @@
 
 #include "llama-model.h"
 #include "llama-graph.h"
+#include "llama-model-loader.h"
 
 // note: almost all graphs require at least sqrtf, so include cmath globally
 #include <cmath>
@@ -110,606 +111,1750 @@ struct llm_build_rwkv7_base : public llm_graph_context {
 // models
 //
 
-struct llm_build_afmoe : public llm_graph_context {
-    llm_build_afmoe(const llama_model & model, const llm_graph_params & params);
+struct llama_model_llama : public llama_model_base {
+    llama_model_llama(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool embed>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_apertus : public llm_graph_context {
-    llm_build_apertus(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_llama4 : public llama_model_base {
+    llama_model_llama4(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_arcee : public llm_graph_context {
-    llm_build_arcee(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_llama_embed : public llama_model_llama {
+    llama_model_llama_embed(const struct llama_model_params & params) : llama_model_llama(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_llama
+
+    template <bool embed>
+    using graph = llama_model_llama::graph<embed>;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_arctic : public llm_graph_context {
-    llm_build_arctic(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_maincoder : public llama_model_base {
+    llama_model_maincoder(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_arwkv7 : public llm_build_rwkv7_base {
-    llm_build_arwkv7(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_deci : public llama_model_base {
+    llama_model_deci(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_baichuan : public llm_graph_context {
-    llm_build_baichuan(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_baichuan : public llama_model_base {
+    llama_model_baichuan(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_bailingmoe2 : public llm_graph_context {
-    llm_build_bailingmoe2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_falcon : public llama_model_base {
+    llama_model_falcon(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_bailingmoe : public llm_graph_context {
-    llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_grok : public llama_model_base {
+    llama_model_grok(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_bert : public llm_graph_context {
-    llm_build_bert(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_starcoder : public llama_model_base {
+    llama_model_starcoder(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_bitnet : public llm_graph_context {
-    llm_build_bitnet(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_refact : public llama_model_base {
+    llama_model_refact(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_bloom : public llm_graph_context {
-    llm_build_bloom(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_bert : public llama_model_base {
+    llama_model_bert(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_chameleon : public llm_graph_context {
-    llm_build_chameleon(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_jina_bert_v2 : public llama_model_base {
+    llama_model_jina_bert_v2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_bert::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_chatglm : public llm_graph_context {
-    llm_build_chatglm(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_jina_bert_v3 : public llama_model_base {
+    llama_model_jina_bert_v3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_bert::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_codeshell : public llm_graph_context {
-    llm_build_codeshell(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_nomic_bert : public llama_model_base {
+    llama_model_nomic_bert(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_bert::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_cogvlm : public llm_graph_context {
-    llm_build_cogvlm(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_nomic_bert_moe : public llama_model_base {
+    llama_model_nomic_bert_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_bert::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_cohere2_iswa : public llm_graph_context {
-    llm_build_cohere2_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_modern_bert : public llama_model_base {
+    llama_model_modern_bert(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_command_r : public llm_graph_context {
-    llm_build_command_r(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_neo_bert : public llama_model_base {
+    llama_model_neo_bert(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_dbrx : public llm_graph_context {
-    llm_build_dbrx(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_eurobert : public llama_model_base {
+    llama_model_eurobert(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_deci : public llm_graph_context {
-    llm_build_deci(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_bloom : public llama_model_base {
+    llama_model_bloom(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_deepseek2 : public llm_graph_context {
-    llm_build_deepseek2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_mpt : public llama_model_base {
+    llama_model_mpt(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_deepseek : public llm_graph_context {
-    llm_build_deepseek(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_stablelm : public llama_model_base {
+    llama_model_stablelm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_dots1 : public llm_graph_context {
-    llm_build_dots1(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen : public llama_model_base {
+    llama_model_qwen(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_dream : public llm_graph_context {
-    llm_build_dream(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen2 : public llama_model_base {
+    llama_model_qwen2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_ernie4_5 : public llm_graph_context {
-    llm_build_ernie4_5(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_dream : public llama_model_base {
+    llama_model_dream(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_ernie4_5_moe : public llm_graph_context {
-    llm_build_ernie4_5_moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_llada : public llama_model_base {
+    llama_model_llada(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_paddleocr : public llm_graph_context {
-    llm_build_paddleocr(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_llada_moe : public llama_model_base {
+    llama_model_llada_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_rnd1 : public llama_model_base {
+    llama_model_rnd1(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_exaone4 : public llm_graph_context {
-    llm_build_exaone4(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen2vl : public llama_model_base {
+    llama_model_qwen2vl(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_exaone : public llm_graph_context {
-    llm_build_exaone(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen2moe : public llama_model_base {
+    llama_model_qwen2moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_exaone_moe : public llm_graph_context {
-    llm_build_exaone_moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen3 : public llama_model_base {
+    llama_model_qwen3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_falcon : public llm_graph_context {
-    llm_build_falcon(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen3moe : public llama_model_base {
+    llama_model_qwen3moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_falcon_h1 : public llm_build_mamba_base {
-    llm_build_falcon_h1(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen3vl : public llama_model_base {
+    llama_model_qwen3vl(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gemma2_iswa : public llm_graph_context {
-    llm_build_gemma2_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen3vlmoe : public llama_model_base {
+    llama_model_qwen3vlmoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_gemma3 : public llm_graph_context {
-    llm_build_gemma3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_phi2 : public llama_model_base {
+    llama_model_phi2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gemma3n_iswa : public llm_graph_context {
-    const llama_model & model;
 
-    const int64_t n_embd_head;
-    const int64_t n_embd_altup;
-    const int64_t n_altup;
-    const int     i_altup_act;
-    const int     n_layer_sparsity = 10; // number of layers using activation sparsity
-    const float   f_sparsity_std_mul = 1.6448533535003662f; // std_multiplier = normal_dist.icdf(0.95)
-
-    llm_build_gemma3n_iswa(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * calc_magnitude(ggml_tensor * x);
-    ggml_tensor * view_2d_slice(ggml_tensor * x, int idx);
-    ggml_tensor * get_per_layer_inputs();
-    ggml_tensor * project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer);
-    ggml_tensor * gaussian_topk(ggml_tensor * x);
-    ggml_tensor * altup_compute_router_modalities(ggml_tensor * x, int il);
-    ggml_tensor * altup_predict(ggml_tensor * cur, int il);
-    ggml_tensor * laurel(ggml_tensor * cur, int il);
-    ggml_tensor * altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il);
-};
-
-struct llm_build_gemma4_iswa : public llm_graph_context {
-    const llama_model & model;
+struct llama_model_phi3 : public llama_model_base {
+    llama_model_phi3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
 
-    const int64_t n_embd_per_layer;
+struct llama_model_phimoe : public llama_model_base {
+    llama_model_phimoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
 
-    llm_build_gemma4_iswa(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * view_2d_slice(ggml_tensor * x, int idx);
-    ggml_tensor * get_per_layer_inputs();
-    ggml_tensor * project_per_layer_inputs(ggml_tensor * inputs_embeds, ggml_tensor * inp_per_layer);
+    template <bool iswa>
+    using graph = llama_model_phi3::graph<iswa>;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gemma_embedding : public llm_graph_context {
-    llm_build_gemma_embedding(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_plamo : public llama_model_base {
+    llama_model_plamo(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gemma : public llm_graph_context {
-    llm_build_gemma(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_plamo2 : public llama_model_base {
+    llama_model_plamo2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+        private:
+            ggml_tensor * build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il);
+            ggml_tensor * build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, ggml_tensor * inp_pos, ggml_tensor * cur,
+                                                    const llama_model & model, int il);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_glm4 : public llm_graph_context {
-    llm_build_glm4(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_plamo3 : public llama_model_base {
+    llama_model_plamo3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_glm4_moe : public llm_graph_context {
-    llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gpt2 : public llama_model_base {
+    llama_model_gpt2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gpt2 : public llm_graph_context {
-    llm_build_gpt2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_codeshell : public llama_model_base {
+    llama_model_codeshell(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_gptneox : public llm_graph_context {
-    llm_build_gptneox(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_orion : public llama_model_base {
+    llama_model_orion(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_granite : public llm_graph_context {
-    llm_build_granite(const llama_model & model, const llm_graph_params & params);
 
-private:
-    ggml_tensor * build_attention_layer(
-              ggml_tensor             * cur,
-              ggml_tensor             * inp_pos,
-              llm_graph_input_attn_kv * inp_attn,
-        const llama_model             & model,
-        const int64_t                 n_embd_head,
-        const int                     il);
+struct llama_model_internlm2 : public llama_model_base {
+    llama_model_internlm2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
 
-    ggml_tensor * build_layer_ffn(
-              ggml_tensor       * cur,
-              ggml_tensor       * inpSA,
-        const llama_model       & model,
-        const int                 il);
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_granite_hybrid : public llm_build_mamba_base {
-    llm_build_granite_hybrid(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il);
-    ggml_tensor * build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn,
-        const llama_model & model,const int64_t n_embd_head, const int il);
+
+struct llama_model_minicpm3 : public llama_model_base {
+    llama_model_minicpm3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_grok : public llm_graph_context {
-    llm_build_grok(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma : public llama_model_base {
+    llama_model_gemma(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_grovemoe : public llm_graph_context {
-    llm_build_grovemoe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma2 : public llama_model_base {
+    llama_model_gemma2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_hunyuan_dense : public llm_graph_context {
-    llm_build_hunyuan_dense(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma3 : public llama_model_base {
+    llama_model_gemma3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_hunyuan_moe : public llm_graph_context {
-    llm_build_hunyuan_moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma3n : public llama_model_base {
+    llama_model_gemma3n(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        const llama_model & model;
+
+        const int64_t n_embd_head;
+        const int64_t n_embd_altup;
+        const int64_t n_altup;
+        const int     i_altup_act;
+        const int     n_layer_sparsity = 10; // number of layers using activation sparsity
+        const float   f_sparsity_std_mul = 1.6448533535003662f; // std_multiplier = normal_dist.icdf(0.95)
+
+        graph(const llama_model & model, const llm_graph_params & params);
+        ggml_tensor * calc_magnitude(ggml_tensor * x);
+
+        // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER]
+        ggml_tensor * build_inp_per_layer();
+        ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer);
+
+        ggml_tensor * gaussian_topk(ggml_tensor * x);
+        ggml_tensor * altup_compute_router_modalities(ggml_tensor * x, int il);
+        ggml_tensor * altup_predict(ggml_tensor * cur, int il);
+        ggml_tensor * laurel(ggml_tensor * cur, int il);
+        ggml_tensor * altup_correct(ggml_tensor * predictions, ggml_tensor * activated, int il);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_internlm2 : public llm_graph_context {
-    llm_build_internlm2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma4 : public llama_model_base {
+    llama_model_gemma4(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        const llama_model & model;
+
+        const int64_t n_embd_per_layer;
+
+        graph(const llama_model & model, const llm_graph_params & params);
+
+        // TODO: refactor in common "per-layer" functionality [TAG_PER_LAYER]
+        ggml_tensor * build_inp_per_layer();
+        ggml_tensor * project_per_layer_inputs(ggml_tensor * inp_batch, ggml_tensor * inp_per_layer);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_jais : public llm_graph_context {
-    llm_build_jais(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_gemma_embedding : public llama_model_base {
+    llama_model_gemma_embedding(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_jais2 : public llm_graph_context {
-    llm_build_jais2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_starcoder2 : public llama_model_base {
+    llama_model_starcoder2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_jamba : public llm_build_mamba_base {
-    llm_build_jamba(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_mamba : public llama_model_base {
+    llama_model_mamba(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_kimi_linear : public llm_build_delta_net_base {
-    llm_build_kimi_linear(const llama_model & model, const llm_graph_params & params);
 
-    std::pair<ggml_tensor *, ggml_tensor *> build_kda_autoregressive(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * gk,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                        int   il);
+struct llama_model_mamba2 : public llama_model_base {
+    llama_model_mamba2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
 
-    std::pair<ggml_tensor *, ggml_tensor *> build_kda_chunking(
-                ggml_tensor * q,
-                ggml_tensor * k,
-                ggml_tensor * v,
-                ggml_tensor * gk,
-                ggml_tensor * beta,
-                ggml_tensor * state,
-                ggml_tensor * causal_mask,
-                ggml_tensor * identity,
-                ggml_tensor * diag_mask,
-                        int   il);
+    using graph = llama_model_mamba::graph;
 
-    const llama_model & model;
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_jamba : public llama_model_base {
+    llama_model_jamba(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_xverse : public llama_model_base {
+    llama_model_xverse(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_command_r : public llama_model_base {
+    llama_model_command_r(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_cohere2 : public llama_model_base {
+    llama_model_cohere2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_dbrx : public llama_model_base {
+    llama_model_dbrx(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_olmo : public llama_model_base {
+    llama_model_olmo(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_lfm2 : public llm_graph_context {
-    llm_build_lfm2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_olmo2 : public llama_model_base {
+    llama_model_olmo2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_llada : public llm_graph_context {
-    llm_build_llada(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_olmoe : public llama_model_base {
+    llama_model_olmoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_openelm : public llama_model_base {
+    llama_model_openelm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_gptneox : public llama_model_base {
+    llama_model_gptneox(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_llada_moe : public llm_graph_context {
-    llm_build_llada_moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_arctic : public llama_model_base {
+    llama_model_arctic(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool embed>
-struct llm_build_llama : public llm_graph_context {
-    llm_build_llama(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_deepseek : public llama_model_base {
+    llama_model_deepseek(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_llama_iswa : public llm_graph_context {
-    llm_build_llama_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_deepseek2 : public llama_model_base {
+    llama_model_deepseek2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_maincoder : public llm_graph_context {
-    llm_build_maincoder(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_deepseek2ocr : public llama_model_base {
+    llama_model_deepseek2ocr(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_deepseek2::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_mamba : public llm_build_mamba_base {
-    llm_build_mamba(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_glm_dsa : public llama_model_base {
+    llama_model_glm_dsa(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_deepseek2::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_mimo2_iswa : public llm_graph_context {
-    llm_build_mimo2_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_mistral4 : public llama_model_deepseek2 {
+    llama_model_mistral4(const struct llama_model_params & params) : llama_model_deepseek2(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_deepseek2
+
+    using graph = llama_model_deepseek2::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_minicpm3 : public llm_graph_context {
-    llm_build_minicpm3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_chatglm : public llama_model_base {
+    llama_model_chatglm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_minimax_m2 : public llm_graph_context {
-    llm_build_minimax_m2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_glm4 : public llama_model_base {
+    llama_model_glm4(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_mistral3 : public llm_graph_context {
-    llm_build_mistral3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_glm4_moe : public llama_model_base {
+    llama_model_glm4_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_modern_bert : public llm_graph_context {
-    llm_build_modern_bert(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_bitnet : public llama_model_base {
+    llama_model_bitnet(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_mpt : public llm_graph_context {
-    llm_build_mpt(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_t5 : public llama_model_base {
+    llama_model_t5(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool is_enc>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_nemotron : public llm_graph_context {
-    llm_build_nemotron(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_t5encoder : public llama_model_base {
+    llama_model_t5encoder(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_t5::graph<true>;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_nemotron_h : public llm_build_mamba_base {
-    llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params);
-    ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il);
-    ggml_tensor * build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn,
-        const llama_model & model, int64_t n_embd_head, int il);
+
+struct llama_model_jais : public llama_model_base {
+    llama_model_jais(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_neo_bert : public llm_graph_context {
-    llm_build_neo_bert(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_jais2 : public llama_model_base {
+    llama_model_jais2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_eurobert : public llm_graph_context {
-    llm_build_eurobert(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_nemotron : public llama_model_base {
+    llama_model_nemotron(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_olmo2 : public llm_graph_context {
-    llm_build_olmo2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_nemotron_h : public llama_model_base {
+    llama_model_nemotron_h(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+        ggml_tensor * build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il);
+        ggml_tensor * build_attention_layer(ggml_tensor * cur, llm_graph_input_attn_kv * inp_attn,
+            const llama_model & model, int64_t n_embd_head, int il);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_olmoe : public llm_graph_context {
-    llm_build_olmoe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_nemotron_h_moe : public llama_model_nemotron_h {
+    llama_model_nemotron_h_moe(const struct llama_model_params & params) : llama_model_nemotron_h(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_nemotron_h
+
+    using graph = llama_model_nemotron_h::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_olmo : public llm_graph_context {
-    llm_build_olmo(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_exaone : public llama_model_base {
+    llama_model_exaone(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_openai_moe_iswa : public llm_graph_context {
-    llm_build_openai_moe_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_exaone4 : public llama_model_base {
+    llama_model_exaone4(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_openelm : public llm_graph_context {
-    llm_build_openelm(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_exaone_moe : public llama_model_base {
+    llama_model_exaone_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_orion : public llm_graph_context {
-    llm_build_orion(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_rwkv6 : public llama_model_base {
+    llama_model_rwkv6(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_rwkv6_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_pangu_embedded : public llm_graph_context {
-    llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_rwkv6qwen2 : public llama_model_base {
+    llama_model_rwkv6qwen2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_rwkv6_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_phi2 : public llm_graph_context {
-    llm_build_phi2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_rwkv7 : public llama_model_base {
+    llama_model_rwkv7(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_rwkv7_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template<bool iswa>
-struct llm_build_phi3 : public llm_graph_context {
-    llm_build_phi3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_arwkv7 : public llama_model_base {
+    llama_model_arwkv7(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_rwkv7_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_plamo2 : public llm_build_mamba_base {
-    llm_build_plamo2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_granite : public llama_model_base {
+    llama_model_granite(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+
     private:
-        ggml_tensor * build_plamo2_mamba_layer(llm_graph_input_rs * inp, ggml_tensor * cur, const llama_model & model, const llama_ubatch & ubatch, int il);
-        ggml_tensor * build_plamo2_attn_layer(llm_graph_input_attn_kv * inp, ggml_tensor * inp_pos, ggml_tensor * cur,
-                                                const llama_model & model, int il);
+        ggml_tensor * build_attention_layer(
+                  ggml_tensor             * cur,
+                  ggml_tensor             * inp_pos,
+                  llm_graph_input_attn_kv * inp_attn,
+            const llama_model             & model,
+            const int64_t                 n_embd_head,
+            const int                     il);
+
+        ggml_tensor * build_layer_ffn(
+                  ggml_tensor       * cur,
+                  ggml_tensor       * inpSA,
+            const llama_model       & model,
+            const int                 il);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_plamo : public llm_graph_context {
-    llm_build_plamo(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_granite_moe : public llama_model_base {
+    llama_model_granite_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_granite::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_plamo3 : public llm_graph_context {
-    llm_build_plamo3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_minicpm : public llama_model_base {
+    llama_model_minicpm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    using graph = llama_model_granite::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_plm : public llm_graph_context {
-    llm_build_plm(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_granite_hybrid : public llama_model_base {
+    llama_model_granite_hybrid(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+        ggml_tensor * build_layer_ffn(ggml_tensor * cur, ggml_tensor * inpSA, const llama_model & model, const int il);
+        ggml_tensor * build_attention_layer(ggml_tensor * cur, ggml_tensor * inp_pos, llm_graph_input_attn_kv * inp_attn,
+            const llama_model & model,const int64_t n_embd_head, const int il);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen2 : public llm_graph_context {
-    llm_build_qwen2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_chameleon : public llama_model_base {
+    llama_model_chameleon(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen2moe : public llm_graph_context {
-    llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_wavtokenizer_dec : public llama_model_base {
+    llama_model_wavtokenizer_dec(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen2vl : public llm_graph_context {
-    llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_plm : public llama_model_base {
+    llama_model_plm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen3 : public llm_graph_context {
-    llm_build_qwen3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_bailingmoe : public llama_model_base {
+    llama_model_bailingmoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen3moe : public llm_graph_context {
-    llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_bailingmoe2 : public llama_model_base {
+    llama_model_bailingmoe2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen3vl : public llm_graph_context {
-    llm_build_qwen3vl(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_seed_oss : public llama_model_base {
+    llama_model_seed_oss(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen3vlmoe : public llm_graph_context {
-    llm_build_qwen3vlmoe(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_dots1 : public llama_model_base {
+    llama_model_dots1(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen3next : public llm_build_delta_net_base {
-    llm_build_qwen3next(const llama_model & model, const llm_graph_params & params);
-private:
-    ggml_tensor * build_layer_attn(
-    llm_graph_input_attn_kv * inp_attn,
-                ggml_tensor * cur,
-                ggml_tensor * inp_pos,
-                        int   il);
 
-    ggml_tensor * build_layer_attn_linear(
-         llm_graph_input_rs * inp,
-                ggml_tensor * cur,
-                        int   il);
+struct llama_model_arcee : public llama_model_base {
+    llama_model_arcee(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
 
-    ggml_tensor * build_layer_ffn(
-                ggml_tensor * cur,
-                        int   il);
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
 
-    ggml_tensor * build_norm_gated(
-                ggml_tensor * input,
-                ggml_tensor * weights,
-                ggml_tensor * gate,
-                        int   layer);
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
 
-    // returns pair of qkv, z
-    std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
-                ggml_tensor * input,
-                        int   il);
 
-    const llama_model & model;
+struct llama_model_afmoe : public llama_model_base {
+    llama_model_afmoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen35 : public llm_build_delta_net_base {
-    llm_build_qwen35(const llama_model & model, const llm_graph_params & params);
-private:
-    ggml_tensor * build_layer_attn(
-    llm_graph_input_attn_kv * inp_attn,
-                ggml_tensor * cur,
-                ggml_tensor * inp_pos,
-                        int * sections,
-                        int   il);
 
-    ggml_tensor * build_layer_attn_linear(
-         llm_graph_input_rs * inp,
-                ggml_tensor * cur,
-                        int   il);
+struct llama_model_ernie4_5 : public llama_model_base {
+    llama_model_ernie4_5(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
 
-    ggml_tensor * build_layer_ffn(
-                ggml_tensor * cur,
-                        int   il);
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
 
-    ggml_tensor * build_norm_gated(
-                ggml_tensor * input,
-                ggml_tensor * weights,
-                ggml_tensor * gate,
-                        int   layer);
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
 
-    // returns pair of qkv, z
-    std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
-                ggml_tensor * input,
-                        int   il);
 
-    const llama_model & model;
+struct llama_model_ernie4_5_moe : public llama_model_ernie4_5 {
+    llama_model_ernie4_5_moe(const struct llama_model_params & params) : llama_model_ernie4_5(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_ernie4_5
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-// TODO: derive llm_build_delta_net_base instead
-struct llm_build_qwen35moe : public llm_build_delta_net_base {
-    llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params);
-private:
-    ggml_tensor * build_layer_attn(
-    llm_graph_input_attn_kv * inp_attn,
-                ggml_tensor * cur,
-                ggml_tensor * inp_pos,
-                        int * sections,
-                        int   il);
 
-    ggml_tensor * build_layer_attn_linear(
-         llm_graph_input_rs * inp,
-                ggml_tensor * cur,
-                        int   il);
+struct llama_model_paddleocr : public llama_model_ernie4_5 {
+    llama_model_paddleocr(const struct llama_model_params & params) : llama_model_ernie4_5(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_ernie4_5
 
-    ggml_tensor * build_layer_ffn(
-                ggml_tensor * cur,
-                        int   il);
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
 
-    ggml_tensor * build_norm_gated(
-                ggml_tensor * input,
-                ggml_tensor * weights,
-                ggml_tensor * gate,
-                        int   layer);
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
 
-    // returns pair of qkv, z
-    std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
-                ggml_tensor * input,
-                        int   il);
 
-    const llama_model & model;
+struct llama_model_hunyuan_moe : public llama_model_base {
+    llama_model_hunyuan_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_qwen : public llm_graph_context {
-    llm_build_qwen(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_hunyuan_vl : public llama_model_base {
+    llama_model_hunyuan_vl(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_refact : public llm_graph_context {
-    llm_build_refact(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_hunyuan_dense : public llama_model_hunyuan_vl {
+    llama_model_hunyuan_dense(const struct llama_model_params & params) : llama_model_hunyuan_vl(params) {}
+    // reuse load_arch_hparams and load_arch_tensors from llama_model_hunyuan_vl
+
+    using graph = llama_model_hunyuan_vl::graph;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_rnd1 : public llm_graph_context {
-    llm_build_rnd1(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_smollm3 : public llama_model_base {
+    llama_model_smollm3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_rwkv6 : public llm_build_rwkv6_base {
-    llm_build_rwkv6(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_openai_moe : public llama_model_base {
+    llama_model_openai_moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_rwkv6qwen2 : public llm_build_rwkv6_base {
-    llm_build_rwkv6qwen2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_falcon_h1 : public llama_model_base {
+    llama_model_falcon_h1(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_mamba_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_rwkv7 : public llm_build_rwkv7_base {
-    llm_build_rwkv7(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_lfm2 : public llama_model_base {
+    llama_model_lfm2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_seed_oss : public llm_graph_context {
-    llm_build_seed_oss(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_lfm2moe : public llama_model_base {
+    llama_model_lfm2moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    using graph = llama_model_lfm2::graph<iswa>;
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-template <bool iswa>
-struct llm_build_smallthinker : public llm_graph_context {
-    llm_build_smallthinker(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_smallthinker : public llama_model_base {
+    llama_model_smallthinker(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    template <bool iswa>
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_smollm3 : public llm_graph_context {
-    llm_build_smollm3(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_grovemoe : public llama_model_base {
+    llama_model_grovemoe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_stablelm : public llm_graph_context {
-    llm_build_stablelm(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_apertus : public llama_model_base {
+    llama_model_apertus(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_starcoder2 : public llm_graph_context {
-    llm_build_starcoder2(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_minimax_m2 : public llama_model_base {
+    llama_model_minimax_m2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_starcoder : public llm_graph_context {
-    llm_build_starcoder(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_cogvlm : public llama_model_base {
+    llama_model_cogvlm(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_pangu_embed : public llama_model_base {
+    llama_model_pangu_embed(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_qwen3next : public llama_model_base {
+    llama_model_qwen3next(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_delta_net_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    private:
+        ggml_tensor * build_layer_attn(
+        llm_graph_input_attn_kv * inp_attn,
+                    ggml_tensor * cur,
+                    ggml_tensor * inp_pos,
+                            int   il);
+
+        ggml_tensor * build_layer_attn_linear(
+             llm_graph_input_rs * inp,
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_layer_ffn(
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_norm_gated(
+                    ggml_tensor * input,
+                    ggml_tensor * weights,
+                    ggml_tensor * gate,
+                            int   layer);
+
+        // returns pair of qkv, z
+        std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
+                    ggml_tensor * input,
+                            int   il);
+
+        const llama_model & model;
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
+};
+
+
+struct llama_model_qwen35 : public llama_model_base {
+    llama_model_qwen35(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_delta_net_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    private:
+        ggml_tensor * build_layer_attn(
+        llm_graph_input_attn_kv * inp_attn,
+                    ggml_tensor * cur,
+                    ggml_tensor * inp_pos,
+                            int * sections,
+                            int   il);
+
+        ggml_tensor * build_layer_attn_linear(
+             llm_graph_input_rs * inp,
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_layer_ffn(
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_norm_gated(
+                    ggml_tensor * input,
+                    ggml_tensor * weights,
+                    ggml_tensor * gate,
+                            int   layer);
+
+        // returns pair of qkv, z
+        std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
+                    ggml_tensor * input,
+                            int   il);
+
+        const llama_model & model;
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_step35_iswa : public llm_graph_context {
-    llm_build_step35_iswa(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_qwen35moe : public llama_model_base {
+    llama_model_qwen35moe(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_delta_net_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+    private:
+        ggml_tensor * build_layer_attn(
+        llm_graph_input_attn_kv * inp_attn,
+                    ggml_tensor * cur,
+                    ggml_tensor * inp_pos,
+                            int * sections,
+                            int   il);
+
+        ggml_tensor * build_layer_attn_linear(
+             llm_graph_input_rs * inp,
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_layer_ffn(
+                    ggml_tensor * cur,
+                            int   il);
+
+        ggml_tensor * build_norm_gated(
+                    ggml_tensor * input,
+                    ggml_tensor * weights,
+                    ggml_tensor * gate,
+                            int   layer);
+
+        // returns pair of qkv, z
+        std::pair<ggml_tensor *, ggml_tensor *> build_qkvz(
+                    ggml_tensor * input,
+                            int   il);
+
+        const llama_model & model;
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_t5_dec : public llm_graph_context {
-    llm_build_t5_dec(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_mistral3 : public llama_model_base {
+    llama_model_mistral3(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_t5_enc : public llm_graph_context {
-    llm_build_t5_enc(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_mimo2 : public llama_model_base {
+    llama_model_mimo2(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_wavtokenizer_dec : public llm_graph_context {
-    llm_build_wavtokenizer_dec(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_kimi_linear : public llama_model_base {
+    llama_model_kimi_linear(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_build_delta_net_base {
+        graph(const llama_model & model, const llm_graph_params & params);
+
+        std::pair<ggml_tensor *, ggml_tensor *> build_kda_autoregressive(
+                    ggml_tensor * q,
+                    ggml_tensor * k,
+                    ggml_tensor * v,
+                    ggml_tensor * gk,
+                    ggml_tensor * beta,
+                    ggml_tensor * state,
+                            int   il);
+
+        std::pair<ggml_tensor *, ggml_tensor *> build_kda_chunking(
+                    ggml_tensor * q,
+                    ggml_tensor * k,
+                    ggml_tensor * v,
+                    ggml_tensor * gk,
+                    ggml_tensor * beta,
+                    ggml_tensor * state,
+                    ggml_tensor * causal_mask,
+                    ggml_tensor * identity,
+                    ggml_tensor * diag_mask,
+                            int   il);
+
+        const llama_model & model;
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
 
-struct llm_build_xverse : public llm_graph_context {
-    llm_build_xverse(const llama_model & model, const llm_graph_params & params);
+
+struct llama_model_step35 : public llama_model_base {
+    llama_model_step35(const struct llama_model_params & params) : llama_model_base(params) {}
+    void load_arch_hparams(llama_model_loader & ml) override;
+    void load_arch_tensors(llama_model_loader & ml) override;
+
+    struct graph : public llm_graph_context {
+        graph(const llama_model & model, const llm_graph_params & params);
+    };
+
+    std::unique_ptr<llm_graph_context> build_arch_graph(const llm_graph_params & params) const override;
 };
diff --git a/src/models/modern-bert.cpp b/src/models/modern-bert.cpp
index 766232109..e9b79ffc6 100644
--- a/src/models/modern-bert.cpp
+++ b/src/models/modern-bert.cpp
@@ -1,8 +1,70 @@
 #include "models.h"
 
-llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_modern_bert::load_arch_hparams(llama_model_loader & ml) {
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    if (found_swa && hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_SYMMETRIC;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+        uint32_t swa_period = 3;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period, true);
+    } else {
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    }
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 12:
+            type = LLM_TYPE_47M; break; // granite-embedding-small
+        case 22:
+            type = LLM_TYPE_149M; break; // modern-bert-base
+        case 28:
+            type = LLM_TYPE_395M; break; // modern-bert-large
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_modern_bert::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+    tok_norm = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    for(int i = 0; i < n_layer; ++i) {
+        auto& layer = layers[i];
+
+        if ( i != 0 ) {
+            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        } else{
+            // layer 0 uses identity
+            layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        }
+
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, 3 * n_embd }, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT,   "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, 2 * n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+    }
+
+    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT,  "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+    cls       = create_tensor(tn(LLM_TENSOR_CLS,      "weight"), {n_embd, n_embd},            TENSOR_NOT_REQUIRED);
+    cls_norm  = create_tensor(tn(LLM_TENSOR_CLS_NORM, "weight"), {n_embd},                    TENSOR_NOT_REQUIRED);
+
+}
+
+std::unique_ptr<llm_graph_context> llama_model_modern_bert::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_modern_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -37,14 +99,8 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
         }
 
         // self attention
-        cur = build_lora_mm(model.layers[il].wqkv, cur);
-        cb(cur, "wqkv", il);
-
-        const size_t type_size = ggml_type_size(cur->type);
-
-        ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*type_size, cur->nb[1], 0*type_size*(n_embd));
-        ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*type_size, cur->nb[1], 1*type_size*(n_embd));
-        ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*type_size, cur->nb[1], 1*type_size*(n_embd + n_embd_gqa));
+        auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                n_embd_head, n_head, n_head_kv, il);
 
         // RoPE
         Qcur = ggml_rope_ext(
@@ -64,7 +120,7 @@ llm_build_modern_bert::llm_build_modern_bert(const llama_model & model, const ll
         cb(Vcur, "Vcur", il);
 
         cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         cb(cur, "kqv_out", il);
 
diff --git a/src/models/mpt.cpp b/src/models/mpt.cpp
index ce44a805f..cfc60e8de 100644
--- a/src/models/mpt.cpp
+++ b/src/models/mpt.cpp
@@ -1,10 +1,71 @@
 #include "models.h"
 
+void llama_model_mpt::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,  hparams.f_norm_eps);
+    ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,      hparams.f_clamp_kqv, false);
+    ml.get_key(LLM_KV_ATTENTION_MAX_ALIBI_BIAS, hparams.f_max_alibi_bias, false);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 48: type = LLM_TYPE_30B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_mpt::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, TENSOR_NOT_REQUIRED);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (!output) {
+        output    = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED); // needs to be on GPU
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, TENSOR_NOT_REQUIRED);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
 
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
 
-llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+        // FIXME test-llama-archs crashes if q_norm is created
+        layer.attn_q_norm   = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+        layer.attn_q_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+
+        layer.attn_k_norm   = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        // AWQ ScaleActivation layer
+        layer.ffn_act = create_tensor(tn(LLM_TENSOR_FFN_ACT, "scales", i), {n_ff}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_mpt::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_mpt::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -38,25 +99,8 @@ llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params &
         {
             cur = attn_norm;
 
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            if (model.layers[il].bqkv) {
-                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                cb(cur, "bqkv", il);
-            }
-
-            if (hparams.f_clamp_kqv > 0.0f) {
-                cur = ggml_clamp(ctx0, cur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(cur, "wqkv_clamped", il);
-            }
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 0 * sizeof(float) * (n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float),
-                                              cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // Q/K Layernorm
             if (model.layers[il].attn_q_norm) {
@@ -76,7 +120,7 @@ llm_build_mpt::llm_build_mpt(const llama_model & model, const llm_graph_params &
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/nemotron-h-moe.cpp b/src/models/nemotron-h-moe.cpp
new file mode 100644
index 000000000..a59cc6c9f
--- /dev/null
+++ b/src/models/nemotron-h-moe.cpp
@@ -0,0 +1,6 @@
+#include "models.h"
+
+std::unique_ptr<llm_graph_context> llama_model_nemotron_h_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/nemotron-h.cpp b/src/models/nemotron-h.cpp
index d3fccfb70..865461f61 100644
--- a/src/models/nemotron-h.cpp
+++ b/src/models/nemotron-h.cpp
@@ -1,6 +1,127 @@
 #include "models.h"
 
-llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_graph_params & params) :
+void llama_model_nemotron_h::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    // A layer is recurrent IFF the n_head_kv value is set to 0 and
+    // the n_ff value is set to 0
+    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+        hparams.recurrent_layer_arr[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0);
+    }
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp,        false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp,      false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_COUNT,               hparams.n_expert_shared, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_MOE_LATENT_SIZE,                   hparams.moe_latent_size, false);
+
+    switch (hparams.n_layer) {
+        case 52: type = LLM_TYPE_31B_A3_5B; break; // Nemotron-H_MOE 31B
+        case 56: type = LLM_TYPE_9B; break;
+        case 88: type = LLM_TYPE_120B_A12B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_nemotron_h::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    // mamba2 Mixer SSM params
+    // NOTE: int64_t for tensor dimensions
+    const int64_t d_conv     = hparams.ssm_d_conv;
+    const int64_t d_inner    = hparams.ssm_d_inner;
+    const int64_t d_state    = hparams.ssm_d_state;
+    const int64_t n_ssm_head = hparams.ssm_dt_rank;
+    const int64_t n_group    = hparams.ssm_n_group;
+    const int64_t d_in_proj  = 2*d_inner + 2*n_group*d_state + n_ssm_head;
+    const int64_t moe_n_embd = hparams.moe_latent_size > 0 ? hparams.moe_latent_size : n_embd;
+
+    // embeddings
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    {
+        output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        // if output is NULL, init from the input tok embed, duplicated to allow offloading
+        if (output == NULL) {
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+        }
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        // all blocks use the attn norm
+        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.is_recurrent(i)) {
+            // ssm layers
+            layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
+
+            layer.ssm_conv1d = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, d_inner + 2*n_group*d_state}, 0);
+            layer.ssm_conv1d_b = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "bias", i), {d_inner + 2*n_group*d_state}, TENSOR_NOT_REQUIRED);
+
+            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {n_ssm_head}, 0);
+
+            // no "weight" suffix for these
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {1, n_ssm_head}, 0);
+            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {1, n_ssm_head}, 0);
+
+            layer.ssm_norm = create_tensor(tn(LLM_TENSOR_SSM_NORM, "weight", i), {d_inner / n_group, n_group}, 0);
+
+            // out_proj
+            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {d_inner, n_embd}, 0);
+        } else if (hparams.n_ff(i) == 0) {
+            // attention layers (with optional bias)
+            const int64_t n_head_i = hparams.n_head(i);
+            const int64_t n_embd_k_gqa_i = hparams.n_embd_k_gqa(i);
+            const int64_t n_embd_v_gqa_i = hparams.n_embd_v_gqa(i);
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_i, n_embd_k_gqa_i, n_embd_v_gqa_i, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head_i, n_embd}, 0);
+            layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        }  else {
+            if (n_expert != 0) {
+                const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+                const int64_t n_ff_shexp = hparams.n_ff_shexp;
+
+                layer.ffn_gate_inp    = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert}, 0);
+                layer.ffn_exp_probs_b = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert         }, 0);
+
+                // MoE branch
+                layer.ffn_latent_down = create_tensor(tn(LLM_TENSOR_FFN_LATENT_DOWN, "weight", i), {n_embd, moe_n_embd}, TENSOR_NOT_REQUIRED);
+                layer.ffn_latent_up   = create_tensor(tn(LLM_TENSOR_FFN_LATENT_UP,   "weight", i), {moe_n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+
+                layer.ffn_down_exps   = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   moe_n_embd, n_expert}, 0);
+                layer.ffn_up_exps     = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {moe_n_embd, n_ff_exp, n_expert}, 0);
+
+                // Shared expert branch
+                layer.ffn_down_shexp  = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd}, 0);
+                layer.ffn_up_shexp    = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp}, 0);
+
+            } else {
+                // mlp layers
+                layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  hparams.n_ff(i), n_embd}, 0);
+                layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   hparams.n_ff(i)}, 0);
+                layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias",   i), {n_embd}, TENSOR_NOT_REQUIRED);
+                layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias",   i), {hparams.n_ff(i)}, TENSOR_NOT_REQUIRED);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_nemotron_h::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_nemotron_h::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_mamba_base(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -60,51 +181,23 @@ llm_build_nemotron_h::llm_build_nemotron_h(const llama_model & model, const llm_
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_nemotron_h::build_attention_layer(ggml_tensor *             cur,
+ggml_tensor * llama_model_nemotron_h::graph::build_attention_layer(ggml_tensor *             cur,
                                                           llm_graph_input_attn_kv * inp_attn,
                                                           const llama_model &       model,
                                                                 int64_t             n_embd_head,
                                                                 int                 il) {
-    // compute Q and K
-    ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-    cb(Qcur, "Qcur", il);
-    if (model.layers[il].bq) {
-        Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-        cb(Qcur, "Qcur", il);
-    }
-
-    ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-    cb(Kcur, "Kcur", il);
-    if (model.layers[il].bk) {
-        Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-        cb(Kcur, "Kcur", il);
-    }
-
-    ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-    cb(Vcur, "Vcur", il);
-    if (model.layers[il].bv) {
-        Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-        cb(Vcur, "Vcur", il);
-    }
-
-    Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, hparams.n_head(il), n_tokens);
-    Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-    Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, hparams.n_head_kv(il), n_tokens);
-
-    cb(Qcur, "Qcur", il);
-    cb(Kcur, "Kcur", il);
-    cb(Vcur, "Vcur", il);
+    auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, hparams.n_head(il), hparams.n_head_kv(il), il);
 
     const float kq_scale =
         hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
     cur = build_attn(inp_attn,
-            model.layers[il].wo, model.layers[il].bo,
+            model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_out", il);
     return cur;
 }
 
-ggml_tensor * llm_build_nemotron_h::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) {
+ggml_tensor * llama_model_nemotron_h::graph::build_ffn_layer(ggml_tensor * cur, const llama_model & model, int il) {
     if (model.layers[il].ffn_gate_inp == nullptr) {
         cur = build_ffn(cur,
                 model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   model.layers[il].ffn_up_s,
diff --git a/src/models/nemotron.cpp b/src/models/nemotron.cpp
index 34aa6fa5e..0c72ed297 100644
--- a/src/models/nemotron.cpp
+++ b/src/models/nemotron.cpp
@@ -1,6 +1,52 @@
 #include "models.h"
 
-llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_nemotron::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_4B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_nemotron::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i), {n_embd}, 0);
+
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+        // optional MLP bias
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_nemotron::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_nemotron::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -31,27 +77,8 @@ llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -70,7 +97,7 @@ llm_build_nemotron::llm_build_nemotron(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/neo-bert.cpp b/src/models/neo-bert.cpp
index 2fdf4a369..f00d6eddf 100644
--- a/src/models/neo-bert.cpp
+++ b/src/models/neo-bert.cpp
@@ -1,8 +1,47 @@
 #include "models.h"
 
-llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_neo_bert::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    if (hparams.n_layer == 28) {
+        type = LLM_TYPE_250M;
+    }
+}
+
+void llama_model_neo_bert::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
+
+    cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+    cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
+
+    cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+    cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+
+    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff*2}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_neo_bert::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_neo_bert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -27,17 +66,8 @@ llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_grap
                 LLM_NORM_RMS, il);
 
         {
-            ggml_tensor * Qcur;
-            ggml_tensor * Kcur;
-            ggml_tensor * Vcur;
-
-            // self-attention
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // RoPE
             Qcur = ggml_rope_ext(
@@ -57,7 +87,7 @@ llm_build_neo_bert::llm_build_neo_bert(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
             cb(cur, "kqv_out", il);
         }
diff --git a/src/models/nomic-bert-moe.cpp b/src/models/nomic-bert-moe.cpp
new file mode 100644
index 000000000..a17abe2c2
--- /dev/null
+++ b/src/models/nomic-bert-moe.cpp
@@ -0,0 +1,72 @@
+#include "models.h"
+
+void llama_model_nomic_bert_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+    ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS,         hparams.moe_every_n_layers, 0);
+
+    if (hparams.n_layer == 12 && hparams.n_embd == 768) {
+        if (arch == LLM_ARCH_NOMIC_BERT) {
+            type = LLM_TYPE_137M;
+        } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) {
+            type = LLM_TYPE_475M;
+        }
+    }
+}
+
+void llama_model_nomic_bert_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_token_types == 0) {
+        throw std::runtime_error(arch_name() + " model needs to define token type count");
+    }
+    tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
+    type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
+
+    if (arch == LLM_ARCH_BERT) {
+        pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train}, 0);
+
+        cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+        cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
+
+        cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+        cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+    }
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
+
+        if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) {
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff,   n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff,   n_embd, n_expert}, 0);
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,   "weight", i), {n_embd, n_expert}, 0);
+        } else {
+            layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+            if (arch == LLM_ARCH_NOMIC_BERT) {
+                layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            }
+        }
+
+        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i),   {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_nomic_bert_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/nomic-bert.cpp b/src/models/nomic-bert.cpp
new file mode 100644
index 000000000..5a8a55844
--- /dev/null
+++ b/src/models/nomic-bert.cpp
@@ -0,0 +1,72 @@
+#include "models.h"
+
+void llama_model_nomic_bert::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+    ml.get_key(LLM_KV_MOE_EVERY_N_LAYERS,         hparams.moe_every_n_layers, 0);
+
+    if (hparams.n_layer == 12 && hparams.n_embd == 768) {
+        if (arch == LLM_ARCH_NOMIC_BERT) {
+            type = LLM_TYPE_137M;
+        } else if (arch == LLM_ARCH_NOMIC_BERT_MOE && hparams.moe_every_n_layers == 2) {
+            type = LLM_TYPE_475M;
+        }
+    }
+}
+
+void llama_model_nomic_bert::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_token_types == 0) {
+        throw std::runtime_error(arch_name() + " model needs to define token type count");
+    }
+    tok_embd     = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD,  "weight"), {n_embd, n_vocab}, 0);
+    type_embd    = create_tensor(tn(LLM_TENSOR_TOKEN_TYPES, "weight"), {n_embd, n_token_types}, TENSOR_NOT_REQUIRED);
+
+    if (arch == LLM_ARCH_BERT) {
+        pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,    "weight"), {n_embd, n_ctx_train}, 0);
+
+        cls   = create_tensor(tn(LLM_TENSOR_CLS, "weight"), {n_embd, n_embd}, TENSOR_NOT_REQUIRED);
+        cls_b = create_tensor(tn(LLM_TENSOR_CLS, "bias"),   {n_embd},         TENSOR_NOT_REQUIRED);
+
+        cls_out   = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+        cls_out_b = create_tensor(tn(LLM_TENSOR_CLS_OUT, "bias"),   {hparams.n_cls_out},         TENSOR_NOT_REQUIRED);
+    }
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.attn_out_norm   = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_out_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd}, 0);
+
+        if (hparams.moe_every_n_layers > 0 && i % hparams.moe_every_n_layers == 1) {
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff,   n_expert}, 0);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff,   n_embd, n_expert}, 0);
+            layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,   "weight", i), {n_embd, n_expert}, 0);
+        } else {
+            layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+            if (arch == LLM_ARCH_NOMIC_BERT) {
+                layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+            }
+        }
+
+        layer.layer_out_norm   = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd}, 0);
+        layer.layer_out_norm_b = create_tensor(tn(LLM_TENSOR_LAYER_OUT_NORM, "bias", i),   {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_nomic_bert::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
diff --git a/src/models/olmo.cpp b/src/models/olmo.cpp
index 26f4b6ee6..161035e72 100644
--- a/src/models/olmo.cpp
+++ b/src/models/olmo.cpp
@@ -1,6 +1,46 @@
 #include "models.h"
 
-llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_olmo::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    ml.get_key(LLM_KV_ATTENTION_CLAMP_KQV,     hparams.f_clamp_kqv, false);
+
+    switch (hparams.n_layer) {
+        case 22: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_7B; break;
+        case 80: type = LLM_TYPE_70B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_olmo::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_olmo::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_olmo::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,27 +70,8 @@ llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Qcur = ggml_clamp(ctx0, Qcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Kcur = ggml_clamp(ctx0, Kcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (hparams.f_clamp_kqv > 0.0f) {
-                Vcur = ggml_clamp(ctx0, Vcur, -hparams.f_clamp_kqv, hparams.f_clamp_kqv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +90,7 @@ llm_build_olmo::llm_build_olmo(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, nullptr,
+                    model.layers[il].wo, nullptr, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/olmo2.cpp b/src/models/olmo2.cpp
index 5076359e3..9633f2699 100644
--- a/src/models/olmo2.cpp
+++ b/src/models/olmo2.cpp
@@ -1,7 +1,68 @@
 #include "models.h"
 
+void llama_model_olmo2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    if (found_swa && hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        uint32_t swa_period = 4;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+
+        hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+        hparams.rope_freq_scale_train_swa = 1.0; // See olmo2.cpp
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    } else {
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    }
+
+    switch (hparams.n_layer) {
+        case 16: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_13B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_olmo2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_embd_head = n_embd / n_head;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_head_kv * n_embd_head}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, "weight", i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_olmo2::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>>(*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template <bool iswa>
-llm_build_olmo2<iswa>::llm_build_olmo2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_olmo2::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -89,7 +150,7 @@ llm_build_olmo2<iswa>::llm_build_olmo2(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -146,5 +207,5 @@ llm_build_olmo2<iswa>::llm_build_olmo2(const llama_model & model, const llm_grap
 }
 
 // Explicit template instantiations
-template struct llm_build_olmo2<false>;
-template struct llm_build_olmo2<true>;
+template struct llama_model_olmo2::graph<false>;
+template struct llama_model_olmo2::graph<true>;
diff --git a/src/models/olmoe.cpp b/src/models/olmoe.cpp
index 83a56a0b3..4bb901305 100644
--- a/src/models/olmoe.cpp
+++ b/src/models/olmoe.cpp
@@ -1,6 +1,55 @@
 #include "models.h"
 
-llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_olmoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 16: type = LLM_TYPE_A1_7B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_olmoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0");
+        }
+
+        // MoE branch
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_olmoe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_olmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -68,7 +117,7 @@ llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/openai-moe-iswa.cpp b/src/models/openai-moe-iswa.cpp
deleted file mode 100644
index 403f130bc..000000000
--- a/src/models/openai-moe-iswa.cpp
+++ /dev/null
@@ -1,127 +0,0 @@
-#include "models.h"
-
-llm_build_openai_moe_iswa::llm_build_openai_moe_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    // inp_pos - contains the positions
-    ggml_tensor * inp_pos = build_inp_pos();
-
-    auto * inp_attn = build_attn_inp_kv_iswa();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        const float freq_base_l  = model.get_rope_freq_base (cparams, il);
-        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
-
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, nullptr,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_rot, n_head_kv, n_tokens);
-
-            Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, nullptr,
-                    n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                    ext_factor, attn_factor, beta_fast, beta_slow
-                    );
-
-            Kcur = ggml_rope_ext(
-                    ctx0, Kcur, inp_pos, nullptr,
-                    n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
-                    ext_factor, attn_factor, beta_fast, beta_slow
-                    );
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, nullptr, model.layers[il].attn_sinks, nullptr, 1.0f/sqrtf(float(n_rot)), il);
-
-            cb(cur, "attn_out", il);
-        }
-        if (il == n_layer - 1) {
-            // skip computing output for unused tokens
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        cur = ffn_inp;
-        cur = build_norm(cur,
-                model.layers[il].attn_post_norm, nullptr,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_post_norm", il);
-
-        // MoE branch
-        cur = build_moe_ffn(cur,
-                model.layers[il].ffn_gate_inp,  model.layers[il].ffn_gate_inp_b,
-                model.layers[il].ffn_up_exps,   model.layers[il].ffn_up_exps_b,
-                model.layers[il].ffn_gate_exps, model.layers[il].ffn_gate_exps_b,
-                model.layers[il].ffn_down_exps, model.layers[il].ffn_down_exps_b,
-                nullptr,
-                n_expert, n_expert_used,
-                LLM_FFN_SWIGLU_OAI_MOE, false,
-                hparams.expert_weights_scale,
-                LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX_WEIGHT,
-                il);
-        cb(cur, "ffn_moe_out", il);
-
-        cur = ggml_add(ctx0, cur, ffn_inp);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/openai-moe.cpp b/src/models/openai-moe.cpp
new file mode 100644
index 000000000..13a590ce6
--- /dev/null
+++ b/src/models/openai-moe.cpp
@@ -0,0 +1,169 @@
+#include "models.h"
+
+void llama_model_openai_moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp);
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,    hparams.n_swa);
+
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+    uint32_t swa_period = 2;
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+    hparams.set_swa_pattern(swa_period);
+
+    hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+    hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_20B; break;
+        case 36: type = LLM_TYPE_120B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_openai_moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_ff_exp = hparams.n_ff_exp;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), {n_embd}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_head * n_rot, n_head_kv * n_rot, n_head_kv * n_rot, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head * n_rot, n_embd}, 0);
+
+        layer.attn_sinks = create_tensor(tn(LLM_TENSOR_ATTN_SINKS, "weight", i), {n_head}, 0);
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {  n_embd, n_expert}, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp_b  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "bias", i), {n_expert}, 0);
+        layer.ffn_gate_exps_b = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "bias", i), {n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "bias", i), {  n_embd, n_expert}, 0);
+        layer.ffn_up_exps_b   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "bias", i), {n_ff_exp, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_openai_moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_openai_moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    auto * inp_attn = build_attn_inp_kv_iswa();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        const float freq_base_l  = model.get_rope_freq_base (cparams, il);
+        const float freq_scale_l = model.get_rope_freq_scale(cparams, il);
+
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, nullptr,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+
+        // self-attention
+        {
+            // compute Q and K and RoPE them
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_rot, n_head, n_head_kv, il);
+
+            Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            Kcur = ggml_rope_ext(
+                    ctx0, Kcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, nullptr, model.layers[il].attn_sinks, nullptr, 1.0f/sqrtf(float(n_rot)), il);
+
+            cb(cur, "attn_out", il);
+        }
+        if (il == n_layer - 1) {
+            // skip computing output for unused tokens
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        cur = ffn_inp;
+        cur = build_norm(cur,
+                model.layers[il].attn_post_norm, nullptr,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_post_norm", il);
+
+        // MoE branch
+        cur = build_moe_ffn(cur,
+                model.layers[il].ffn_gate_inp,  model.layers[il].ffn_gate_inp_b,
+                model.layers[il].ffn_up_exps,   model.layers[il].ffn_up_exps_b,
+                model.layers[il].ffn_gate_exps, model.layers[il].ffn_gate_exps_b,
+                model.layers[il].ffn_down_exps, model.layers[il].ffn_down_exps_b,
+                nullptr,
+                n_expert, n_expert_used,
+                LLM_FFN_SWIGLU_OAI_MOE, false,
+                hparams.expert_weights_scale,
+                LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX_WEIGHT,
+                il);
+        cb(cur, "ffn_moe_out", il);
+
+        cur = ggml_add(ctx0, cur, ffn_inp);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/openelm.cpp b/src/models/openelm.cpp
index 5df6fe3e3..b4128e116 100644
--- a/src/models/openelm.cpp
+++ b/src/models/openelm.cpp
@@ -1,6 +1,53 @@
 #include "models.h"
 
-llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_openelm::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+    case 16: type = LLM_TYPE_270M; break;
+    case 20: type = LLM_TYPE_450M; break;
+    case 28: type = LLM_TYPE_1B; break;
+    case 36: type = LLM_TYPE_3B; break;
+    default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_openelm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // init output from the input tok embed
+    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        const int64_t n_head      =   hparams.n_head(i);
+        const int64_t n_head_qkv  = 2*hparams.n_head_kv(i) + n_head;
+        const int64_t n_ff        =   hparams.n_ff(i);
+
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_head_qkv*n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_head*n_embd_head_k, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_openelm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_openelm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -73,7 +120,7 @@ llm_build_openelm::llm_build_openelm(const llama_model & model, const llm_graph_
             cb(Qcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/orion.cpp b/src/models/orion.cpp
index 48c01efe3..7ace0a513 100644
--- a/src/models/orion.cpp
+++ b/src/models/orion.cpp
@@ -1,6 +1,46 @@
 #include "models.h"
 
-llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_orion::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 40: type = LLM_TYPE_14B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_orion::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_orion::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_orion::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,30 +70,8 @@ llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            // if (model.layers[il].bq) {
-            //     Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            //     cb(Qcur, "Qcur", il);
-            // }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            // if (model.layers[il].bk) {
-            //     Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            //     cb(Kcur, "Kcur", il);
-            // }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            // if (model.layers[il].bv) {
-            //     Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            //     cb(Vcur, "Vcur", il);
-            // }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -72,7 +90,7 @@ llm_build_orion::llm_build_orion(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/paddleocr.cpp b/src/models/paddleocr.cpp
index 340455c2d..1c0eadefa 100644
--- a/src/models/paddleocr.cpp
+++ b/src/models/paddleocr.cpp
@@ -1,6 +1,10 @@
 #include "models.h"
 
-llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_graph_params & params) :
+std::unique_ptr<llm_graph_context> llama_model_paddleocr::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_paddleocr::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
 
     // NOTE: same with qwen2vl.cpp, but bias tensors are optional
@@ -35,27 +39,8 @@ llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_gr
         }
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_multi(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -74,7 +59,7 @@ llm_build_paddleocr::llm_build_paddleocr(const llama_model & model, const llm_gr
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1) {
diff --git a/src/models/pangu-embed.cpp b/src/models/pangu-embed.cpp
new file mode 100644
index 000000000..41b7e2ac2
--- /dev/null
+++ b/src/models/pangu-embed.cpp
@@ -0,0 +1,161 @@
+#include "models.h"
+
+void llama_model_pangu_embed::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 26: type = LLM_TYPE_1B; break; // openPangu-Embedded-1B-V1.1
+        case 34: type = LLM_TYPE_7B; break; // openPangu-Embedded-7B-V1.1
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_pangu_embed::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        // weight tensors
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        } else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_pangu_embed::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_pangu_embed::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+    GGML_ASSERT(n_embd_head == n_rot);
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    // inp_pos - contains the positions
+    ggml_tensor * inp_pos = build_inp_pos();
+
+    auto * inp_attn = build_attn_inp_kv();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+
+        // self attention
+        {
+            // compute Q and K and RoPE them
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
+
+            Qcur = ggml_rope_ext(
+                    ctx0, Qcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            Kcur = ggml_rope_ext(ctx0, Kcur, inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                    );
+
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
+        }
+
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // feed-forward network
+        cur = build_norm(ffn_inp,
+                model.layers[il].ffn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "ffn_norm", il);
+
+        cur = build_ffn(cur,
+                model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
+                model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
+                model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
+                NULL,
+                LLM_FFN_SILU, LLM_FFN_PAR, il);
+
+        cur = ggml_add(ctx0, cur, ffn_inp);
+        cb(cur, "ffn_out", il);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+
+    cur = inpL;
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    if (model.output_b != nullptr) {
+        cur = ggml_add(ctx0, cur, model.output_b);
+    }
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/pangu-embedded.cpp b/src/models/pangu-embedded.cpp
deleted file mode 100644
index 1cf0938e6..000000000
--- a/src/models/pangu-embedded.cpp
+++ /dev/null
@@ -1,121 +0,0 @@
-#include "models.h"
-
-
-llm_build_pangu_embedded::llm_build_pangu_embedded(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-    GGML_ASSERT(n_embd_head == n_rot);
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    // inp_pos - contains the positions
-    ggml_tensor * inp_pos = build_inp_pos();
-
-    auto * inp_attn = build_attn_inp_kv();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self attention
-        {
-            // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, nullptr,
-                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
-                    ext_factor, attn_factor, beta_fast, beta_slow
-                    );
-
-            Kcur = ggml_rope_ext(ctx0, Kcur, inp_pos, nullptr,
-                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
-                    ext_factor, attn_factor, beta_fast, beta_slow
-                    );
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
-        }
-
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network
-        cur = build_norm(ffn_inp,
-                model.layers[il].ffn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "ffn_norm", il);
-
-        cur = build_ffn(cur,
-                model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
-                model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
-                model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
-                NULL,
-                LLM_FFN_SILU, LLM_FFN_PAR, il);
-
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-
-    cur = inpL;
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    if (model.output_b != nullptr) {
-        cur = ggml_add(ctx0, cur, model.output_b);
-    }
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/phi2.cpp b/src/models/phi2.cpp
index 32d40d71f..a333602c7 100644
--- a/src/models/phi2.cpp
+++ b/src/models/phi2.cpp
@@ -1,9 +1,51 @@
 #include "models.h"
 
+void llama_model_phi2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
 
-llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_phi2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+    output_b      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_up     = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i),   {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_phi2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_phi2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -30,29 +72,8 @@ llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, attn_norm_output);
-                cb(cur, "wqkv", il);
-
-                cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-                cb(cur, "bqkv", il);
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-            } else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, attn_norm_output), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, attn_norm_output), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, attn_norm_output), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], attn_norm_output,
+                    n_embd_head, n_head, n_head_kv, il);
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -74,7 +95,7 @@ llm_build_phi2::llm_build_phi2(const llama_model & model, const llm_graph_params
             Qcur = ggml_scale(ctx0, Qcur, 1.0f/sqrtf(float(n_embd_head)));
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/phi3.cpp b/src/models/phi3.cpp
index 3d11a9459..0a65e91fe 100644
--- a/src/models/phi3.cpp
+++ b/src/models/phi3.cpp
@@ -1,9 +1,72 @@
 #include "models.h"
 
+void llama_model_phi3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_3B; break;
+        case 40: type = LLM_TYPE_14B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+
+    if (found_swa && hparams.n_swa > 0) {
+        LLAMA_LOG_WARN("%s: Phi SWA is currently disabled - results might be suboptimal for some models (see %s)\n",
+                __func__, "https://github.com/ggml-org/llama.cpp/pull/13676");
+
+        // TODO: fix conversion scripts to correctly populate `n_swa` and `n_swa_pattern`
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+
+        hparams.n_swa         = 0;
+        hparams.set_swa_pattern(1);
+    }
+}
+
+void llama_model_phi3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, TENSOR_NOT_REQUIRED);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
+
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd }, 0);
+        layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), { n_embd, 2 * n_ff }, 0);
+
+        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_rot/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_phi3::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+        return std::make_unique<graph<true>> (*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template<bool iswa>
-llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_phi3::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -39,27 +102,8 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
                     LLM_NORM_RMS, il);
             cb(attn_norm_output, "attn_norm", il);
 
-            ggml_tensor * Qcur = nullptr;
-            ggml_tensor * Kcur = nullptr;
-            ggml_tensor * Vcur = nullptr;
-
-            if (model.layers[il].wqkv) {
-                cur = build_lora_mm(model.layers[il].wqkv, attn_norm_output);
-                cb(cur, "wqkv", il);
-
-                Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head * sizeof(float), cur->nb[1], 0 * sizeof(float) * (n_embd));
-                Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), cur->nb[1], 1 * sizeof(float) * (n_embd));
-                Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), cur->nb[1], 1 * sizeof(float) * (n_embd + n_embd_gqa));
-                }
-                else {
-                Qcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wq, attn_norm_output), model.layers[il].bq);
-                Kcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wk, attn_norm_output), model.layers[il].bk);
-                Vcur = ggml_add(ctx0, build_lora_mm(model.layers[il].wv, attn_norm_output), model.layers[il].bv);
-
-                Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-                Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-            }
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], attn_norm_output,
+                    n_embd_head, n_head, n_head_kv, il);
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, rope_factors,
                     n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
@@ -80,7 +124,7 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
             cb(Qcur, "Qcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -148,5 +192,5 @@ llm_build_phi3<iswa>::llm_build_phi3(const llama_model & model, const llm_graph_
 }
 
 // Explicit template instantiations
-template struct llm_build_phi3<false>;
-template struct llm_build_phi3<true>;
+template struct llama_model_phi3::graph<false>;
+template struct llama_model_phi3::graph<true>;
diff --git a/src/models/phimoe.cpp b/src/models/phimoe.cpp
new file mode 100644
index 000000000..4575d6139
--- /dev/null
+++ b/src/models/phimoe.cpp
@@ -0,0 +1,55 @@
+#include "models.h"
+
+void llama_model_phimoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_16x3_8B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_phimoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_embd_head = n_embd / n_head;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), { n_embd, n_vocab }, 0);
+    output_b      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   { n_vocab }, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias",   i), { n_embd }, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd, n_embd }, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias",   i), { n_embd }, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias",   i), { n_embd }, 0);
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert},         0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff,   n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff,   n_expert}, 0);
+
+        layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), { n_embd_head/2 }, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+     }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_phimoe::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+        return std::make_unique<graph<true>> (*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
diff --git a/src/models/plamo.cpp b/src/models/plamo.cpp
index b7a712110..4c16c20a0 100644
--- a/src/models/plamo.cpp
+++ b/src/models/plamo.cpp
@@ -1,6 +1,42 @@
 #include "models.h"
 
-llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_plamo::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    switch (hparams.n_layer) {
+        case 40: type = LLM_TYPE_13B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+}
+
+void llama_model_plamo::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_plamo::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_plamo::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +66,8 @@ llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -60,7 +86,7 @@ llm_build_plamo::llm_build_plamo(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/plamo2.cpp b/src/models/plamo2.cpp
index 0bde0b3d8..29c870260 100644
--- a/src/models/plamo2.cpp
+++ b/src/models/plamo2.cpp
@@ -1,8 +1,109 @@
 #include "models.h"
-
 #include "llama-memory-recurrent.h"
 
-llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_params & params) :
+void llama_model_plamo2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    // Load Mamba SSM parameters
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+        hparams.recurrent_layer_arr[i] = hparams.n_head_kv(i) == 0;
+    }
+
+    switch (hparams.n_layer) {
+        case 16: type = LLM_TYPE_1B; break;
+        case 32:
+            if (hparams.n_embd == 2048) {
+                type = LLM_TYPE_2B;
+            } else if (hparams.n_embd == 4096) {
+                type = LLM_TYPE_8B;
+            }
+            break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_plamo2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    // mamba parameters
+    const uint32_t d_conv             = hparams.ssm_d_conv;
+    const uint32_t d_state            = hparams.ssm_d_state;
+    const uint32_t num_heads          = hparams.ssm_dt_rank;
+    const uint32_t intermediate_size  = hparams.ssm_d_inner;
+    const int64_t dt_dim              = std::max(64, int(hparams.n_embd / 16));
+
+    // attention parameters
+    const uint32_t qk_dim = hparams.n_embd_head_k();
+    const uint32_t v_dim  = hparams.n_embd_head_v();
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        bool is_mamba_layer = hparams.is_recurrent(i);
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        if (is_mamba_layer) {
+            layer.ssm_in       = create_tensor(tn(LLM_TENSOR_SSM_IN,     "weight", i), {n_embd, 2 * intermediate_size}, 0);
+            layer.ssm_conv1d   = create_tensor(tn(LLM_TENSOR_SSM_CONV1D, "weight", i), {d_conv, intermediate_size}, 0);
+
+            layer.ssm_x    = create_tensor(tn(LLM_TENSOR_SSM_X,  "weight", i), {intermediate_size, dt_dim + 2*d_state}, 0);
+            layer.ssm_dt   = create_tensor(tn(LLM_TENSOR_SSM_DT, "weight", i), {dt_dim, num_heads}, 0);
+            layer.ssm_dt_b = create_tensor(tn(LLM_TENSOR_SSM_DT, "bias", i), {num_heads}, 0);
+
+            layer.ssm_a = create_tensor(tn(LLM_TENSOR_SSM_A, i), {num_heads}, 0);
+            layer.ssm_d = create_tensor(tn(LLM_TENSOR_SSM_D, i), {num_heads}, 0);
+
+            layer.ssm_out = create_tensor(tn(LLM_TENSOR_SSM_OUT, "weight", i), {intermediate_size, n_embd}, 0);
+
+            layer.ssm_dt_norm = create_tensor(tn(LLM_TENSOR_SSM_DT_NORM, i), {dt_dim}, 0);
+            layer.ssm_b_norm = create_tensor(tn(LLM_TENSOR_SSM_B_NORM, i), {d_state}, 0);
+            layer.ssm_c_norm = create_tensor(tn(LLM_TENSOR_SSM_C_NORM, i), {d_state}, 0);
+        } else {
+            const int64_t num_attention_heads = hparams.n_head(i);
+            const int64_t q_num_heads         = num_attention_heads;
+            const int64_t num_key_value_heads = hparams.n_head_kv(i);
+            const int64_t k_num_heads         = num_key_value_heads;
+            const int64_t v_num_heads         = num_key_value_heads;
+            const int64_t q_proj_dim          = q_num_heads * qk_dim;
+            const int64_t k_proj_dim          = k_num_heads * qk_dim;
+            const int64_t v_proj_dim          = v_num_heads * v_dim;
+
+            layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, q_proj_dim + k_proj_dim + v_proj_dim}, 0);
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {qk_dim, num_attention_heads}, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {qk_dim, k_num_heads}, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {q_num_heads * v_dim, n_embd}, 0);
+        }
+
+        // All layers have post-attention norm, FFN norm, and FFN tensors
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0);
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff * 2}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_plamo2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_plamo2::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_mamba_base(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -95,7 +196,7 @@ llm_build_plamo2::llm_build_plamo2(const llama_model & model, const llm_graph_pa
     ggml_build_forward_expand(gf, cur);
 }
 
-ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv * inp,
+ggml_tensor * llama_model_plamo2::graph::build_plamo2_attn_layer(llm_graph_input_attn_kv * inp,
                                                         ggml_tensor *             inp_pos,
                                                         ggml_tensor *             cur,
                                                         const llama_model &       model,
@@ -141,7 +242,7 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv
                              ext_factor, attn_factor, beta_fast, beta_slow);
 
         cur = build_attn(inp,
-            model.layers[il].wo, NULL,
+            model.layers[il].wo, NULL, model.layers[il].wo_s,
             Qcur, Kcur, Vcur, NULL, NULL, NULL, 1.0f / sqrtf(float(n_embd_head_v)), il);
     }
 
@@ -150,7 +251,7 @@ ggml_tensor * llm_build_plamo2::build_plamo2_attn_layer(llm_graph_input_attn_kv
     return cur;
 }
 
-ggml_tensor * llm_build_plamo2::build_plamo2_mamba_layer(llm_graph_input_rs * inp,
+ggml_tensor * llama_model_plamo2::graph::build_plamo2_mamba_layer(llm_graph_input_rs * inp,
                                                          ggml_tensor *        cur,
                                                          const llama_model &  model,
                                                          const llama_ubatch & ubatch,
diff --git a/src/models/plamo3.cpp b/src/models/plamo3.cpp
index 7cb9da6e7..849f1579e 100644
--- a/src/models/plamo3.cpp
+++ b/src/models/plamo3.cpp
@@ -1,7 +1,74 @@
 #include "models.h"
 
+void llama_model_plamo3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+    if (found_swa && hparams.n_swa > 0) {
+        hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+        uint32_t swa_period = 8;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period);
+    } else {
+        hparams.swa_type = LLAMA_SWA_TYPE_NONE;
+    }
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_2B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_plamo3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t head_dim_q = hparams.n_embd_head_k();
+    const int64_t head_dim_v = hparams.n_embd_head_v();
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        const int64_t num_attention_heads = hparams.n_head(i);
+        const int64_t num_key_value_heads = hparams.n_head_kv(i);
+        const int64_t q_proj_dim = num_attention_heads * head_dim_q;
+        const int64_t k_proj_dim = num_key_value_heads * head_dim_q;
+        const int64_t v_proj_dim = num_key_value_heads * head_dim_v;
+        const int64_t n_ff_cur   = hparams.n_ff(i);
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i),
+                {n_embd,q_proj_dim + k_proj_dim + v_proj_dim}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {head_dim_q}, 0);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {head_dim_q}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {num_attention_heads * head_dim_v, n_embd}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, i), {n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_post_norm = create_tensor(tn(LLM_TENSOR_FFN_POST_NORM, i), {n_embd}, 0);
+
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff_cur * 2}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff_cur, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_plamo3::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type != LLAMA_SWA_TYPE_NONE) {
+        return std::make_unique<graph<true>> (*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template <bool iswa>
-llm_build_plamo3<iswa>::llm_build_plamo3(const llama_model & model, const llm_graph_params & params) :
+llama_model_plamo3::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) :
     llm_graph_context(params) {
     const int64_t head_dim_q = hparams.n_embd_head_k();
     const int64_t head_dim_v = hparams.n_embd_head_v();
@@ -73,7 +140,7 @@ llm_build_plamo3<iswa>::llm_build_plamo3(const llama_model & model, const llm_gr
         const float attn_scale = 1.0f / sqrtf(float(head_dim_q));
 
         cur = build_attn(inp_attn,
-                model.layers[il].wo, NULL,
+                model.layers[il].wo, NULL, model.layers[il].wo_s,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, attn_scale, il);
         cb(cur, "attn_out", il);
 
@@ -126,5 +193,5 @@ llm_build_plamo3<iswa>::llm_build_plamo3(const llama_model & model, const llm_gr
 }
 
 // Explicit template instantiations
-template struct llm_build_plamo3<false>;
-template struct llm_build_plamo3<true>;
+template struct llama_model_plamo3::graph<false>;
+template struct llama_model_plamo3::graph<true>;
diff --git a/src/models/plm.cpp b/src/models/plm.cpp
index bcb651ce5..57f599510 100644
--- a/src/models/plm.cpp
+++ b/src/models/plm.cpp
@@ -1,6 +1,50 @@
 #include "models.h"
 
-llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_plm::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_1_8B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_plm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const int64_t n_embd_head_qk_rope = hparams.n_rot();
+    const int64_t n_embd_head_qk_nope = hparams.n_embd_head_k() - hparams.n_rot();
+    const int64_t kv_lora_rank = hparams.n_lora_kv;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    // output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+    output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wq        = create_tensor(tn(LLM_TENSOR_ATTN_Q,   "weight", i), {n_embd, n_embd_head_k * n_head}, 0);
+        layer.wkv_a_mqa = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_MQA, "weight", i), {n_embd, kv_lora_rank + (n_embd_head_qk_rope)}, 0);
+        layer.attn_kv_a_norm = create_tensor(tn(LLM_TENSOR_ATTN_KV_A_NORM, "weight", i), {kv_lora_rank}, 0);
+        layer.wkv_b     = create_tensor(tn(LLM_TENSOR_ATTN_KV_B,     "weight", i), {kv_lora_rank, n_head * (n_embd_head_qk_nope + n_embd_head_v)}, 0);
+        layer.wo        = create_tensor(tn(LLM_TENSOR_ATTN_OUT,      "weight", i), {              n_head * (                      n_embd_head_v), n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_plm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_plm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const float kq_scale = 1.0f/sqrtf(float(hparams.n_embd_head_k()));
 
     const uint32_t n_embd_head_qk_rope = hparams.n_rot();
@@ -120,7 +164,7 @@ llm_build_plm::llm_build_plm(const llama_model & model, const llm_graph_params &
             cb(k_states, "k_states", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     q_states, k_states, v_states, nullptr, nullptr, nullptr, kq_scale, il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen.cpp b/src/models/qwen.cpp
index 7390f1320..cdc076cdf 100644
--- a/src/models/qwen.cpp
+++ b/src/models/qwen.cpp
@@ -1,7 +1,46 @@
 #include "models.h"
 
+void llama_model_qwen::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
 
-llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_13B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd*3}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd*3}, 0);
+        layer.wo   = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff/2}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff/2, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff/2}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -28,15 +67,8 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 2*sizeof(float)*(n_embd));
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             // using mode = 2 for neox mode
             Qcur = ggml_rope_ext(
@@ -56,7 +88,7 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2.cpp b/src/models/qwen2.cpp
index 58c106225..6320458a1 100644
--- a/src/models/qwen2.cpp
+++ b/src/models/qwen2.cpp
@@ -1,6 +1,55 @@
 #include "models.h"
 
-llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_5B : LLM_TYPE_1B; break;
+        case 28: type = hparams.n_embd == 1536 ? LLM_TYPE_1_5B : LLM_TYPE_7B; break;
+        case 32: type = LLM_TYPE_7B; break;
+        case 36: type = LLM_TYPE_3B; break;
+        case 40: type = hparams.n_head() == 20 ? LLM_TYPE_4B : LLM_TYPE_13B; break;
+        case 48: type = LLM_TYPE_14B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        case 80: type = LLM_TYPE_70B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    output_b    = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,30 +79,8 @@ llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -72,7 +99,7 @@ llm_build_qwen2::llm_build_qwen2(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2moe.cpp b/src/models/qwen2moe.cpp
index 60761789d..7587c802c 100644
--- a/src/models/qwen2moe.cpp
+++ b/src/models/qwen2moe.cpp
@@ -1,6 +1,67 @@
 #include "models.h"
 
-llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen2moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_A2_7B; break;
+        case 28: type = LLM_TYPE_57B_A14B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen2moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0 for QWEN2MOE");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0 for QWEN2MOE");
+        }
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+
+        // Shared expert branch
+        const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
+
+        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd}, 0);
+        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {    n_embd, n_ff_shexp}, 0);
+        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp,     n_embd}, 0);
+        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {    n_embd, n_ff_shexp}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen2moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen2moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,27 +91,8 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +111,7 @@ llm_build_qwen2moe::llm_build_qwen2moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen2vl.cpp b/src/models/qwen2vl.cpp
index 9004bab9d..1a40fa89b 100644
--- a/src/models/qwen2vl.cpp
+++ b/src/models/qwen2vl.cpp
@@ -1,6 +1,45 @@
 #include "models.h"
 
-llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen2vl::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
+}
+// fall through
+
+void llama_model_qwen2vl::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    output_b    = create_tensor(tn(LLM_TENSOR_OUTPUT,      "bias"),   {n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen2vl::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen2vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -33,21 +72,8 @@ llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_multi(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -66,7 +92,7 @@ llm_build_qwen2vl::llm_build_qwen2vl(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/qwen3.cpp b/src/models/qwen3.cpp
index 520816684..fa656c84e 100644
--- a/src/models/qwen3.cpp
+++ b/src/models/qwen3.cpp
@@ -1,6 +1,55 @@
 #include "models.h"
 
-llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 28: type = hparams.n_embd == 1024 ? LLM_TYPE_0_6B : LLM_TYPE_1_7B; break;
+        case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break;
+        case 40: type = LLM_TYPE_14B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // output rerank head
+    cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen3::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +79,8 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,11 +105,8 @@ llm_build_qwen3::llm_build_qwen3(const llama_model & model, const llm_graph_para
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
-            if (model.layers[il].wo_s) {
-                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
-            }
         }
         if (il == n_layer - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
diff --git a/src/models/qwen35.cpp b/src/models/qwen35.cpp
index e0e48d2a4..f276be61b 100644
--- a/src/models/qwen35.cpp
+++ b/src/models/qwen35.cpp
@@ -1,8 +1,96 @@
 #include "models.h"
-
 #include "llama-memory-recurrent.h"
 
-llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_params & params) :
+void llama_model_qwen35::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS,    hparams.rope_sections, 4, true);
+
+    // Load linear attention (gated delta net) parameters
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    // Mark recurrent layers (linear attention layers)
+    {
+        uint32_t full_attn_interval = 4;
+        ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
+        for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+            hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
+        }
+    }
+
+    switch (hparams.n_layer) {
+        case 24: type = hparams.n_embd == 1024 ? LLM_TYPE_0_8B : LLM_TYPE_2B; break;
+        case 32: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_9B; break;
+        case 64: type = LLM_TYPE_27B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen35::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
+    }
+
+    // Calculate dimensions from hyperparameters
+    const int64_t head_k_dim = hparams.ssm_d_state;
+    const int64_t head_v_dim = hparams.ssm_d_state;
+    const int64_t n_k_heads  = hparams.ssm_n_group;
+    const int64_t n_v_heads  = hparams.ssm_dt_rank;
+    const int64_t key_dim    = head_k_dim * n_k_heads;
+    const int64_t value_dim  = head_v_dim * n_v_heads;
+    const int64_t conv_dim   = key_dim * 2 + value_dim;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
+
+        if (!hparams.is_recurrent(i)) {
+            // Attention layers
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+
+            // Q/K normalization for attention layers
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
+        } else {
+            // Linear attention (gated delta net) specific tensors
+            // Create tensors with calculated dimensions
+            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
+            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
+            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
+            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_beta       = create_tensor(tn(LLM_TENSOR_SSM_BETA,       "weight", i), { n_embd, n_v_heads }, 0);
+            layer.ssm_alpha      = create_tensor(tn(LLM_TENSOR_SSM_ALPHA,      "weight", i), { n_embd, n_v_heads }, 0);
+            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
+            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
+        }
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen35::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen35::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_delta_net_base(params), model(model) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -87,7 +175,7 @@ llm_build_qwen35::llm_build_qwen35(const llama_model & model, const llm_graph_pa
     ggml_build_forward_expand(gf, cur);
 }
 
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35::build_qkvz(
+std::pair<ggml_tensor *, ggml_tensor *> llama_model_qwen35::graph::build_qkvz(
                 ggml_tensor * input,
                         int   il) {
     const int64_t n_seqs       = ubatch.n_seqs;
@@ -103,7 +191,7 @@ std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35::build_qkvz(
     return { qkv_mixed, z };
 }
 
-ggml_tensor * llm_build_qwen35::build_norm_gated(
+ggml_tensor * llama_model_qwen35::graph::build_norm_gated(
         ggml_tensor * input,
         ggml_tensor * weights,
         ggml_tensor * gate,
@@ -114,7 +202,7 @@ ggml_tensor * llm_build_qwen35::build_norm_gated(
     return ggml_mul(ctx0, normalized, gated_silu);
 }
 
-ggml_tensor * llm_build_qwen35::build_layer_attn(
+ggml_tensor * llama_model_qwen35::graph::build_layer_attn(
         llm_graph_input_attn_kv * inp,
         ggml_tensor *             cur,
         ggml_tensor *             inp_pos,
@@ -179,7 +267,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -195,7 +283,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn(
     return cur;
 }
 
-ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
+ggml_tensor * llama_model_qwen35::graph::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
         int                  il) {
@@ -225,6 +313,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(beta, "beta", il);
 
     beta = ggml_sigmoid(ctx0, beta);
+    cb(beta, "beta_sigmoid", il);
 
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s);
     alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
@@ -269,7 +358,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -345,7 +434,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
@@ -368,7 +457,7 @@ ggml_tensor * llm_build_qwen35::build_layer_attn_linear(
     return cur;
 }
 
-ggml_tensor * llm_build_qwen35::build_layer_ffn(ggml_tensor * cur, const int il) {
+ggml_tensor * llama_model_qwen35::graph::build_layer_ffn(ggml_tensor * cur, const int il) {
     // Qwen3.5 does not use MoE FFN
     GGML_ASSERT(model.layers[il].ffn_gate_inp == nullptr);
 
diff --git a/src/models/qwen35moe.cpp b/src/models/qwen35moe.cpp
index 15baea80b..cf05dc9d6 100644
--- a/src/models/qwen35moe.cpp
+++ b/src/models/qwen35moe.cpp
@@ -1,8 +1,109 @@
 #include "models.h"
-
 #include "llama-memory-recurrent.h"
 
-llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_graph_params & params) :
+void llama_model_qwen35moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS,    hparams.rope_sections, 4, true);
+
+    // Load linear attention (gated delta net) parameters
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    // Mark recurrent layers (linear attention layers)
+    {
+        uint32_t full_attn_interval = 4;
+        ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
+        for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+            hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
+        }
+    }
+
+    switch (hparams.n_layer) {
+        case 40: type = LLM_TYPE_35B_A3B; break;
+        case 48: type = LLM_TYPE_122B_A10B; break;
+        case 60: type = LLM_TYPE_397B_A17B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen35moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
+    }
+
+    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+    // Calculate dimensions from hyperparameters
+    const int64_t head_k_dim = hparams.ssm_d_state;
+    const int64_t head_v_dim = hparams.ssm_d_state;
+    const int64_t n_k_heads  = hparams.ssm_n_group;
+    const int64_t n_v_heads  = hparams.ssm_dt_rank;
+    const int64_t key_dim    = head_k_dim * n_k_heads;
+    const int64_t value_dim  = head_v_dim * n_v_heads;
+    const int64_t conv_dim   = key_dim * 2 + value_dim;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
+
+        if (!hparams.is_recurrent(i)) {
+            // Attention layers
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+
+            // Q/K normalization for attention layers
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
+        } else {
+            // Linear attention (gated delta net) specific tensors
+            // Create tensors with calculated dimensions
+            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
+            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
+            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
+            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_beta       = create_tensor(tn(LLM_TENSOR_SSM_BETA,       "weight", i), { n_embd, n_v_heads }, 0);
+            layer.ssm_alpha      = create_tensor(tn(LLM_TENSOR_SSM_ALPHA,      "weight", i), { n_embd, n_v_heads }, 0);
+            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
+            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
+        }
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
+        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
+
+        // Shared experts
+        const int64_t n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
+
+        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0);
+        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, n_ff_shexp }, 0);
+        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, n_ff_shexp }, 0);
+        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { n_ff_shexp, n_embd }, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen35moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen35moe::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_delta_net_base(params), model(model) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
@@ -87,7 +188,7 @@ llm_build_qwen35moe::llm_build_qwen35moe(const llama_model & model, const llm_gr
     ggml_build_forward_expand(gf, cur);
 }
 
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35moe::build_qkvz(
+std::pair<ggml_tensor *, ggml_tensor *> llama_model_qwen35moe::graph::build_qkvz(
                 ggml_tensor * input,
                         int   il) {
     const int64_t n_seqs       = ubatch.n_seqs;
@@ -103,7 +204,7 @@ std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen35moe::build_qkvz(
     return { qkv_mixed, z };
 }
 
-ggml_tensor * llm_build_qwen35moe::build_norm_gated(
+ggml_tensor * llama_model_qwen35moe::graph::build_norm_gated(
         ggml_tensor * input,
         ggml_tensor * weights,
         ggml_tensor * gate,
@@ -114,7 +215,7 @@ ggml_tensor * llm_build_qwen35moe::build_norm_gated(
     return ggml_mul(ctx0, normalized, gated_silu);
 }
 
-ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
+ggml_tensor * llama_model_qwen35moe::graph::build_layer_attn(
         llm_graph_input_attn_kv * inp,
         ggml_tensor *             cur,
         ggml_tensor *             inp_pos,
@@ -179,7 +280,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -195,7 +296,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn(
     return cur;
 }
 
-ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
+ggml_tensor * llama_model_qwen35moe::graph::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
         int                  il) {
@@ -225,6 +326,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(beta, "beta", il);
 
     beta = ggml_sigmoid(ctx0, beta);
+    cb(beta, "beta_sigmoid", il);
 
     ggml_tensor * alpha = build_lora_mm(model.layers[il].ssm_alpha, cur, model.layers[il].ssm_alpha_s);
     alpha = ggml_reshape_3d(ctx0, alpha, num_v_heads, n_seq_tokens, n_seqs);
@@ -269,7 +371,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -345,7 +447,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
@@ -368,7 +470,7 @@ ggml_tensor * llm_build_qwen35moe ::build_layer_attn_linear(
     return cur;
 }
 
-ggml_tensor * llm_build_qwen35moe ::build_layer_ffn(ggml_tensor * cur, const int il) {
+ggml_tensor * llama_model_qwen35moe::graph::build_layer_ffn(ggml_tensor * cur, const int il) {
     // Check if this is an MoE layer
     GGML_ASSERT(model.layers[il].ffn_gate_inp != nullptr);
 
diff --git a/src/models/qwen3moe.cpp b/src/models/qwen3moe.cpp
index dba46618f..4440b83aa 100644
--- a/src/models/qwen3moe.cpp
+++ b/src/models/qwen3moe.cpp
@@ -1,6 +1,65 @@
 #include "models.h"
 
-llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen3moe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 48: type = LLM_TYPE_30B_A3B; break;
+        case 94: type = LLM_TYPE_235B_A22B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen3moe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0 for QWEN3MOE");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE");
+        }
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen3moe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen3moe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,18 +89,8 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur, model.layers[il].wq_s);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur, model.layers[il].wk_s);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur, model.layers[il].wv_s);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -66,11 +115,8 @@ llm_build_qwen3moe::llm_build_qwen3moe(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
-            if (model.layers[il].wo_s) {
-                cur = ggml_mul(ctx0, cur, model.layers[il].wo_s);
-            }
         }
         if (il == n_layer - 1 && inp_out_ids) {
             cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
diff --git a/src/models/qwen3next.cpp b/src/models/qwen3next.cpp
index dbfc0874d..cb1b4814c 100644
--- a/src/models/qwen3next.cpp
+++ b/src/models/qwen3next.cpp
@@ -1,8 +1,113 @@
 #include "models.h"
-
 #include "llama-memory-recurrent.h"
 
-llm_build_qwen3next::llm_build_qwen3next(const llama_model & model, const llm_graph_params & params) :
+void llama_model_qwen3next::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,       hparams.f_norm_rms_eps);
+
+    // Load linear attention (gated delta net) parameters
+    ml.get_key(LLM_KV_SSM_CONV_KERNEL,    hparams.ssm_d_conv);
+    ml.get_key(LLM_KV_SSM_INNER_SIZE,     hparams.ssm_d_inner);
+    ml.get_key(LLM_KV_SSM_STATE_SIZE,     hparams.ssm_d_state);
+    ml.get_key(LLM_KV_SSM_TIME_STEP_RANK, hparams.ssm_dt_rank);
+    ml.get_key(LLM_KV_SSM_GROUP_COUNT,    hparams.ssm_n_group);
+
+    // Mark recurrent layers (linear attention layers)
+    {
+        uint32_t full_attn_interval = 4;
+        ml.get_key(LLM_KV_FULL_ATTENTION_INTERVAL, full_attn_interval, false);
+        for (uint32_t i = 0; i < hparams.n_layer; ++i) {
+            hparams.recurrent_layer_arr[i] = ((i + 1) % full_attn_interval != 0);
+        }
+    }
+
+    switch (hparams.n_layer) {
+        case 48: type = LLM_TYPE_80B_A3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen3next::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    if (n_expert == 0) {
+        throw std::runtime_error(arch_name() + " model cannot have zero experts");
+    }
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), { n_embd, n_vocab }, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, TENSOR_DUPLICATED);
+    }
+
+    const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+    // Calculate dimensions from hyperparameters
+    const int64_t head_k_dim = hparams.ssm_d_state;
+    const int64_t head_v_dim = hparams.ssm_d_state;
+    const int64_t n_k_heads  = hparams.ssm_n_group;
+    const int64_t n_v_heads  = hparams.ssm_dt_rank;
+    const int64_t key_dim    = head_k_dim * n_k_heads;
+    const int64_t value_dim  = head_v_dim * n_v_heads;
+    const int64_t conv_dim   = key_dim * 2 + value_dim;
+
+    // Calculate projection sizes
+    const int64_t qkvz_dim = key_dim * 2 + value_dim * 2;
+    const int64_t ba_dim   = n_v_heads * 2;
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+        const uint32_t n_ff_shexp = hparams.n_ff_shexp > 0 ? hparams.n_ff_shexp : hparams.n_ff(i);
+
+        layer.attn_norm      = create_tensor(tn(LLM_TENSOR_ATTN_NORM,      "weight", i), { n_embd }, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), { n_embd }, 0);
+
+        if (!hparams.is_recurrent(i)) {
+            // Attention layers
+            create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head * 2, n_embd_k_gqa, n_embd_v_gqa, 0);
+            layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+
+            // Q/K normalization for attention layers
+            layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), { n_embd_head_k }, 0);
+            layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), { n_embd_head_k }, 0);
+        } else {
+            // Linear attention (gated delta net) specific tensors
+            // Create tensors with calculated dimensions
+            // note: ssm_in is used by legacy GGUF
+            layer.ssm_in         = create_tensor(tn(LLM_TENSOR_SSM_IN,         "weight", i), { n_embd, qkvz_dim }, TENSOR_NOT_REQUIRED);
+            layer.wqkv           = create_tensor(tn(LLM_TENSOR_ATTN_QKV,       "weight", i), { n_embd, key_dim * 2 + value_dim }, TENSOR_NOT_REQUIRED);
+            layer.wqkv_gate      = create_tensor(tn(LLM_TENSOR_ATTN_GATE,      "weight", i), { n_embd, value_dim }, TENSOR_NOT_REQUIRED);
+            layer.ssm_conv1d     = create_tensor(tn(LLM_TENSOR_SSM_CONV1D,     "weight", i), { hparams.ssm_d_conv, conv_dim }, 0);
+            layer.ssm_dt         = create_tensor(tn(LLM_TENSOR_SSM_DT,         "bias",   i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_a          = create_tensor(tn(LLM_TENSOR_SSM_A_NOSCAN,             i), { hparams.ssm_dt_rank }, 0);
+            layer.ssm_beta_alpha = create_tensor(tn(LLM_TENSOR_SSM_BETA_ALPHA, "weight", i), { n_embd, ba_dim }, 0);
+            layer.ssm_norm       = create_tensor(tn(LLM_TENSOR_SSM_NORM,       "weight", i), { head_v_dim }, 0);
+            layer.ssm_out        = create_tensor(tn(LLM_TENSOR_SSM_OUT,        "weight", i), { value_dim, n_embd }, 0);
+        }
+
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), { n_embd, n_expert }, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
+        create_tensor_gate_up_exps(layer, i, n_embd, n_ff_exp, n_expert, 0);
+
+        // Shared experts
+        layer.ffn_gate_inp_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), { n_embd }, 0);
+        layer.ffn_gate_shexp     = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP,     "weight", i), { n_embd, n_ff_shexp }, 0);
+        layer.ffn_up_shexp       = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,       "weight", i), { n_embd, n_ff_shexp }, 0);
+        layer.ffn_down_shexp     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP,     "weight", i), { n_ff_shexp, n_embd }, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen3next::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen3next::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_delta_net_base(params), model(model) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
@@ -87,7 +192,7 @@ static ggml_tensor * get_slice_2d(ggml_context * ctx0, ggml_tensor * t, int64_t
         t->nb[1], t->nb[2], t->nb[3], t->nb[2] * c);
 }
 
-ggml_tensor * llm_build_qwen3next::build_norm_gated(
+ggml_tensor * llama_model_qwen3next::graph::build_norm_gated(
         ggml_tensor * input,
         ggml_tensor * weights,
         ggml_tensor * gate,
@@ -98,7 +203,7 @@ ggml_tensor * llm_build_qwen3next::build_norm_gated(
     return ggml_mul(ctx0, normalized, gated_silu);
 }
 
-ggml_tensor * llm_build_qwen3next::build_layer_attn(
+ggml_tensor * llama_model_qwen3next::graph::build_layer_attn(
         llm_graph_input_attn_kv * inp,
         ggml_tensor *             cur,
         ggml_tensor *             inp_pos,
@@ -157,7 +262,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     const float kq_scale = hparams.f_attention_scale == 0.0f ? 1.0f / sqrtf(float(n_embd_head)) : hparams.f_attention_scale;
 
     cur = build_attn(inp,
-                nullptr, nullptr,
+                nullptr, nullptr, nullptr,
                 Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
     cb(cur, "attn_pregate", il);
 
@@ -172,13 +277,13 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn(
     cur = ggml_mul(ctx0, cur, gate);
     cb(cur, "attn_gated", il);
 
-    cur = build_lora_mm(model.layers[il].wo, cur);
+    cur = build_lora_mm(model.layers[il].wo, cur, model.layers[il].wo_s);
     cb(cur, "attn_output", il);
 
     return cur;
 }
 
-std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_qkvz(
+std::pair<ggml_tensor *, ggml_tensor *> llama_model_qwen3next::graph::build_qkvz(
                 ggml_tensor * input,
                         int   il) {
     const int64_t d_inner      = hparams.ssm_d_inner;
@@ -259,7 +364,7 @@ std::pair<ggml_tensor *, ggml_tensor *> llm_build_qwen3next::build_qkvz(
     }
 }
 
-ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
+ggml_tensor * llama_model_qwen3next::graph::build_layer_attn_linear(
         llm_graph_input_rs * inp,
         ggml_tensor *        cur,
         int                  il) {
@@ -354,7 +459,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     cb(last_conv_states, "last_conv_states", il);
 
     ggml_tensor * state_update_target =
-        ggml_view_1d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels * n_seqs,
+        ggml_view_2d(ctx0, conv_states_all, (conv_kernel_size - 1) * conv_channels, n_seqs, conv_states_all->nb[1],
                      kv_head * (conv_kernel_size - 1) * conv_channels * ggml_element_size(conv_states_all));
     cb(state_update_target, "state_update_target", il);
 
@@ -414,19 +519,19 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         int64_t repeat_factor = num_v_heads / num_k_heads;
 
-        // repeat interleave: reshape to (repeat part, 1, remaining part), do repeat, then reshape back
-        ggml_tensor * q_reshaped = ggml_reshape_3d(ctx0, q_conv, head_k_dim, 1, num_k_heads * n_seq_tokens * n_seqs);
-        ggml_tensor * k_reshaped = ggml_reshape_3d(ctx0, k_conv, head_k_dim, 1, num_k_heads * n_seq_tokens * n_seqs);
+        // repeat interleave: reshape to (repeat part, 1, remaining part...), do repeat, then reshape back
+        ggml_tensor * q_reshaped = ggml_reshape_4d(ctx0, q_conv, head_k_dim, 1, num_k_heads, n_seq_tokens * n_seqs);
+        ggml_tensor * k_reshaped = ggml_reshape_4d(ctx0, k_conv, head_k_dim, 1, num_k_heads, n_seq_tokens * n_seqs);
 
         // Repeat along the third dimension (the new dimension with size 1)
         ggml_tensor * q_repeated =
-            ggml_repeat_4d(ctx0, q_reshaped, head_k_dim, repeat_factor, num_k_heads * n_seq_tokens * n_seqs, 1);
+            ggml_repeat_4d(ctx0, q_reshaped, head_k_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs);
         ggml_tensor * k_repeated =
-            ggml_repeat_4d(ctx0, k_reshaped, head_k_dim, repeat_factor, num_k_heads * n_seq_tokens * n_seqs, 1);
+            ggml_repeat_4d(ctx0, k_reshaped, head_k_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs);
 
         // Reshape back to merge the head and repeat dimensions
-        // From [head_dim, num_k_heads, repeat_factor, n_seq_tokens * n_seqs]
-        // Back to [head_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs]
+        // From [head_dim, repeat_factor, num_k_heads, n_seq_tokens * n_seqs]
+        // Back to [head_dim, repeat_factor * num_k_heads, n_seq_tokens, n_seqs]
         q_conv = ggml_reshape_4d(ctx0, q_repeated, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
         k_conv = ggml_reshape_4d(ctx0, k_repeated, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
     }
@@ -445,7 +550,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     // Update the recurrent states
     ggml_build_forward_expand(gf,
             ggml_cpy(ctx0, new_state,
-                ggml_view_1d(ctx0, ssm_states_all, hparams.n_embd_s() * n_seqs,
+                ggml_view_2d(ctx0, ssm_states_all, hparams.n_embd_s(), n_seqs, ssm_states_all->nb[1],
                     kv_head * hparams.n_embd_s() * ggml_element_size(ssm_states_all))));
 
     // z: [head_dim, n_heads, n_tokens, n_seqs] -> [n_heads * n_tokens * n_seqs, head_dim]
@@ -468,7 +573,7 @@ ggml_tensor * llm_build_qwen3next::build_layer_attn_linear(
     return cur;
 }
 
-ggml_tensor * llm_build_qwen3next::build_layer_ffn(ggml_tensor * cur, const int il) {
+ggml_tensor * llama_model_qwen3next::graph::build_layer_ffn(ggml_tensor * cur, const int il) {
     // Check if this is an MoE layer
     if (model.layers[il].ffn_gate_inp != nullptr) {
         // MoE branch
diff --git a/src/models/qwen3vl.cpp b/src/models/qwen3vl.cpp
index bbd5f42ba..7871f8f79 100644
--- a/src/models/qwen3vl.cpp
+++ b/src/models/qwen3vl.cpp
@@ -1,6 +1,56 @@
 #include "models.h"
 
-llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen3vl::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 28: type = LLM_TYPE_1_7B; break;
+        case 36: type = hparams.n_embd == 2560 ? LLM_TYPE_4B : LLM_TYPE_8B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen3vl::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // output rerank head
+    cls_out = create_tensor(tn(LLM_TENSOR_CLS_OUT, "weight"), {n_embd, hparams.n_cls_out}, TENSOR_NOT_REQUIRED);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen3vl::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen3vl::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const size_t n_deepstack_layers = hparams.n_deepstack_layers;
 
     const int64_t n_embd      = hparams.n_embd;
@@ -36,18 +86,8 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -72,7 +112,7 @@ llm_build_qwen3vl::llm_build_qwen3vl(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
diff --git a/src/models/qwen3vl-moe.cpp b/src/models/qwen3vlmoe.cpp
similarity index 54%
rename from src/models/qwen3vl-moe.cpp
rename to src/models/qwen3vlmoe.cpp
index 195daea66..b99143c89 100644
--- a/src/models/qwen3vl-moe.cpp
+++ b/src/models/qwen3vlmoe.cpp
@@ -1,6 +1,66 @@
 #include "models.h"
 
-llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_qwen3vlmoe::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_NUM_DEEPSTACK_LAYERS, hparams.n_deepstack_layers, false);
+    ml.get_key_or_arr(LLM_KV_ROPE_DIMENSION_SECTIONS, hparams.rope_sections, 4, true);
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 48: type = LLM_TYPE_30B_A3B; break;
+        case 94: type = LLM_TYPE_235B_A22B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_qwen3vlmoe::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0 for QWEN3MOE");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE");
+        }
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_qwen3vlmoe::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_qwen3vlmoe::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const size_t n_deepstack_layers = hparams.n_deepstack_layers;
 
     const int64_t n_embd      = hparams.n_embd;
@@ -36,18 +96,8 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -72,7 +122,7 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
 
@@ -137,4 +187,3 @@ llm_build_qwen3vlmoe::llm_build_qwen3vlmoe(const llama_model & model, const llm_
 
     ggml_build_forward_expand(gf, cur);
 }
-
diff --git a/src/models/refact.cpp b/src/models/refact.cpp
index 140700d9e..f14f10917 100644
--- a/src/models/refact.cpp
+++ b/src/models/refact.cpp
@@ -1,6 +1,81 @@
 #include "models.h"
 
-llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_refact::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_1B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+
+    // TODO: become GGUF KV parameter
+    hparams.f_max_alibi_bias = 8.0f;
+}
+
+void llama_model_refact::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+        else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        if (n_expert == 0) {
+            layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+            layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+            layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+            // optional MLP bias
+            layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
+            layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
+        } else {
+            layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, 0);
+            layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd,   n_ff, n_expert}, TENSOR_NOT_REQUIRED);
+            layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {  n_ff, n_embd, n_expert}, 0);
+            layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd,   n_ff, n_expert}, 0);
+
+            // For Granite MoE Shared
+            if (hparams.n_ff_shexp > 0) {
+                layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, 0);
+                layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, 0);
+            }
+        }
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_refact::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_refact::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -24,25 +99,15 @@ llm_build_refact::llm_build_refact(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cb(Qcur, "Qcur", il);
             cb(Kcur, "Kcur", il);
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/rnd1.cpp b/src/models/rnd1.cpp
index c8e1f4340..325ee73ba 100644
--- a/src/models/rnd1.cpp
+++ b/src/models/rnd1.cpp
@@ -1,7 +1,67 @@
 #include "models.h"
 
+void llama_model_rnd1::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
+
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 48: type = LLM_TYPE_30B_A3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+    // Set non-causal attention for diffusion models
+    hparams.causal_attn = false;
+}
+
+void llama_model_rnd1::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate_inp = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), {n_embd, n_expert}, 0);
+
+        if (n_expert == 0) {
+            throw std::runtime_error("n_expert must be > 0 for QWEN3MOE");
+        }
+        if (n_expert_used == 0) {
+            throw std::runtime_error("n_expert_used must be > 0 for QWEN3MOE");
+        }
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / n_expert_used;
+
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_rnd1::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
 // RND1 is a Qwen3Moe AR model converted to diffusion model.
-llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+llama_model_rnd1::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -32,18 +92,8 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params
         // self_attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
             cb(Qcur, "Qcur_normed", il);
@@ -68,7 +118,7 @@ llm_build_rnd1::llm_build_rnd1(const llama_model & model, const llm_graph_params
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/rwkv6.cpp b/src/models/rwkv6.cpp
index 032b219d6..2944711ac 100644
--- a/src/models/rwkv6.cpp
+++ b/src/models/rwkv6.cpp
@@ -1,6 +1,97 @@
 #include "models.h"
 
-llm_build_rwkv6::llm_build_rwkv6(const llama_model & model, const llm_graph_params & params) :
+void llama_model_rwkv6::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,     hparams.f_norm_eps, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false);
+    ml.get_key(LLM_KV_WKV_HEAD_SIZE,               hparams.wkv_head_size);
+    ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM,          hparams.time_mix_extra_dim);
+    ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM,        hparams.time_decay_extra_dim);
+    ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS,      hparams.rescale_every_n_layers, false);
+    ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,           hparams.token_shift_count, false);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1_6B; break;
+        case 32:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_3B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 61: type = LLM_TYPE_14B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_rwkv6::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // Block 0, LN0
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
+
+    const int time_mix_extra_dim = hparams.time_mix_extra_dim;
+    const int time_decay_extra_dim = hparams.time_decay_extra_dim;
+    const int head_size = hparams.wkv_head_size;
+    const int attn_hidden_size = n_embd;
+    const int ffn_size = hparams.n_ff_arr[0];
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0);
+        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, 0);
+
+        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0);
+        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0);
+
+        layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0);
+        layer.time_mix_lerp_w = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_W, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_lerp_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_lerp_v = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_V, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_lerp_r = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_lerp_g = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_G, "weight", i), {n_embd, 1, 1}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, TENSOR_NOT_REQUIRED);
+        GGML_ASSERT(!(layer.time_mix_lerp_fused == NULL && layer.time_mix_lerp_w == NULL));
+
+        layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, 0);
+        layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0);
+        layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0);
+        layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0);
+        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0);
+
+        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0);
+        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0);
+        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
+
+        layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0);
+        layer.channel_mix_lerp_r = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_R, "weight", i), {n_embd, 1, 1}, 0);
+
+        layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0);
+        layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0);
+        layer.channel_mix_receptance = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "weight", i), {n_embd, n_embd}, 0);
+    }
+
+}
+
+std::unique_ptr<llm_graph_context> llama_model_rwkv6::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_rwkv6::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_rwkv6_base(model, params) {
     GGML_ASSERT(hparams.token_shift_count == 2);
 
diff --git a/src/models/rwkv6qwen2.cpp b/src/models/rwkv6qwen2.cpp
index e84e59738..6f7d1f572 100644
--- a/src/models/rwkv6qwen2.cpp
+++ b/src/models/rwkv6qwen2.cpp
@@ -1,6 +1,87 @@
 #include "models.h"
 
-llm_build_rwkv6qwen2::llm_build_rwkv6qwen2(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv6_base(model, params) {
+void llama_model_rwkv6qwen2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,     hparams.f_norm_eps, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps, false);
+    ml.get_key(LLM_KV_WKV_HEAD_SIZE,               hparams.wkv_head_size);
+    ml.get_key(LLM_KV_TIME_MIX_EXTRA_DIM,          hparams.time_mix_extra_dim);
+    ml.get_key(LLM_KV_TIME_DECAY_EXTRA_DIM,        hparams.time_decay_extra_dim);
+    ml.get_key(LLM_KV_RESCALE_EVERY_N_LAYERS,      hparams.rescale_every_n_layers, false);
+    ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,           hparams.token_shift_count, false);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1_6B; break;
+        case 32:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_3B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 61: type = LLM_TYPE_14B; break;
+        case 64: type = LLM_TYPE_32B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_rwkv6qwen2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, TENSOR_NOT_REQUIRED);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
+
+    const int time_mix_extra_dim = hparams.time_mix_extra_dim;
+    const int time_decay_extra_dim = hparams.time_decay_extra_dim;
+    const int head_size = hparams.wkv_head_size;
+    const int attn_hidden_size = n_embd;
+    int attn_key_value_size;
+    if (n_head_kv == 0 || attn_hidden_size / head_size == n_head_kv) {
+        attn_key_value_size = attn_hidden_size;
+    } else {
+        attn_key_value_size = n_head_kv * head_size;
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, time_mix_extra_dim * 5}, 0);
+        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {time_mix_extra_dim, n_embd, 5}, 0);
+
+        layer.time_mix_lerp_x = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_X, "weight", i), {n_embd, 1, 1}, 0);
+        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 5}, 0);
+
+        layer.time_mix_first = create_tensor(tn(LLM_TENSOR_TIME_MIX_FIRST, "weight", i), {head_size, n_embd / head_size}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_decay = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY, "weight", i), {n_embd}, 0);
+        layer.time_mix_decay_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W1, "weight", i), {n_embd, time_decay_extra_dim}, 0);
+        layer.time_mix_decay_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_DECAY_W2, "weight", i), {time_decay_extra_dim, attn_hidden_size}, 0);
+        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {n_embd, attn_key_value_size}, 0);
+        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {n_embd, attn_key_value_size}, 0);
+        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_gate = create_tensor(tn(LLM_TENSOR_TIME_MIX_GATE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        // optional bias tensors
+        layer.time_mix_key_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_value_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "bias", i), {attn_key_value_size}, TENSOR_NOT_REQUIRED);
+        layer.time_mix_receptance_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "bias", i), {attn_hidden_size}, TENSOR_NOT_REQUIRED);
+
+        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_rwkv6qwen2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_rwkv6qwen2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv6_base(model, params) {
     GGML_ASSERT(n_embd == hparams.n_embd_r());
 
     ggml_tensor * cur;
diff --git a/src/models/rwkv7.cpp b/src/models/rwkv7.cpp
index 16ffa6901..b205e3935 100644
--- a/src/models/rwkv7.cpp
+++ b/src/models/rwkv7.cpp
@@ -1,6 +1,127 @@
 #include "models.h"
 
-llm_build_rwkv7::llm_build_rwkv7(const llama_model & model, const llm_graph_params & params) :
+void llama_model_rwkv7::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,                hparams.f_norm_eps, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,            hparams.f_norm_rms_eps, false);
+    ml.get_key(LLM_KV_WKV_HEAD_SIZE,                          hparams.wkv_head_size);
+    ml.get_key(LLM_KV_ATTENTION_DECAY_LORA_RANK,              hparams.n_lora_decay);
+    ml.get_key(LLM_KV_ATTENTION_ICLR_LORA_RANK,               hparams.n_lora_iclr);
+    ml.get_key(LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, hparams.n_lora_value_res_mix);
+    ml.get_key(LLM_KV_ATTENTION_GATE_LORA_RANK,               hparams.n_lora_gate, false);
+    ml.get_key(LLM_KV_TOKEN_SHIFT_COUNT,                      hparams.token_shift_count, false);
+
+    switch (hparams.n_layer) {
+        case 12:
+            switch (hparams.n_embd) {
+                case 768: type = LLM_TYPE_190M; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 24:
+            switch (hparams.n_embd) {
+                case 1024: type = LLM_TYPE_450M; break;
+                case 2048: type = LLM_TYPE_1_5B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 28:
+            switch (hparams.n_embd) {
+                case 1536: type = LLM_TYPE_1_5B; break;
+                case 3584: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 32:
+            switch (hparams.n_embd) {
+                case 2560: type = LLM_TYPE_2_9B; break;
+                case 4096: type = LLM_TYPE_7B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 61:
+            switch (hparams.n_embd) {
+                case 4096: type = LLM_TYPE_14B; break;
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_rwkv7::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // Block 0, LN0
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {n_embd}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"), {n_embd}, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, 0);
+
+    const int n_lora_decay = hparams.n_lora_decay;
+    const int n_lora_iclr = hparams.n_lora_iclr;
+    const int n_lora_value_res_mix = hparams.n_lora_value_res_mix;
+    const int n_lora_gate = hparams.n_lora_gate;
+    const int attn_hidden_size = n_embd;
+    const int ffn_size = hparams.n_ff_arr[0];
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.attn_norm_2   = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, 0);
+        layer.attn_norm_2_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, 0);
+
+        layer.time_mix_w0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W0, "weight", i), {n_embd}, 0);
+        layer.time_mix_w1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W1, "weight", i), {n_embd, n_lora_decay}, 0);
+        layer.time_mix_w2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_W2, "weight", i), {n_lora_decay, n_embd}, 0);
+
+        layer.time_mix_a0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A0, "weight", i), {n_embd}, 0);
+        layer.time_mix_a1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A1, "weight", i), {n_embd, n_lora_iclr}, 0);
+        layer.time_mix_a2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_A2, "weight", i), {n_lora_iclr, n_embd}, 0);
+
+        if (i == 0) {
+            // actually not used
+            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
+            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_iclr}, 0);
+            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_iclr, n_embd}, 0);
+        } else {
+            layer.time_mix_v0 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V0, "weight", i), {n_embd}, 0);
+            layer.time_mix_v1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V1, "weight", i), {n_embd, n_lora_value_res_mix}, 0);
+            layer.time_mix_v2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_V2, "weight", i), {n_lora_value_res_mix, n_embd}, 0);
+        }
+
+        layer.time_mix_g1 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G1, "weight", i), {n_embd, n_lora_gate}, 0);
+        layer.time_mix_g2 = create_tensor(tn(LLM_TENSOR_TIME_MIX_G2, "weight", i), {n_lora_gate, n_embd}, 0);
+
+        layer.time_mix_lerp_fused = create_tensor(tn(LLM_TENSOR_TIME_MIX_LERP_FUSED, "weight", i), {n_embd, 1, 1, 6}, 0);
+
+        layer.time_mix_k_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_K, "weight", i), {attn_hidden_size}, 0);
+        layer.time_mix_k_a = create_tensor(tn(LLM_TENSOR_TIME_MIX_K_A, "weight", i), {attn_hidden_size}, 0);
+        layer.time_mix_r_k = create_tensor(tn(LLM_TENSOR_TIME_MIX_R_K, "weight", i), {attn_hidden_size}, 0);
+
+        layer.time_mix_key = create_tensor(tn(LLM_TENSOR_TIME_MIX_KEY, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_value = create_tensor(tn(LLM_TENSOR_TIME_MIX_VALUE, "weight", i), {attn_hidden_size, n_embd}, 0);
+        layer.time_mix_receptance = create_tensor(tn(LLM_TENSOR_TIME_MIX_RECEPTANCE, "weight", i), {attn_hidden_size, n_embd}, 0);
+
+        layer.time_mix_ln = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "weight", i), {n_embd}, 0);
+        layer.time_mix_ln_b = create_tensor(tn(LLM_TENSOR_TIME_MIX_LN, "bias", i), {n_embd}, 0);
+        layer.time_mix_output = create_tensor(tn(LLM_TENSOR_TIME_MIX_OUTPUT, "weight", i), {n_embd, attn_hidden_size}, 0);
+
+        layer.channel_mix_lerp_k = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_LERP_K, "weight", i), {n_embd, 1, 1}, 0);
+
+        layer.channel_mix_key = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_KEY, "weight", i), {n_embd, ffn_size}, 0);
+        layer.channel_mix_value = create_tensor(tn(LLM_TENSOR_CHANNEL_MIX_VALUE, "weight", i), {ffn_size, n_embd}, 0);
+    }
+
+}
+
+std::unique_ptr<llm_graph_context> llama_model_rwkv7::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_rwkv7::graph::graph(const llama_model & model, const llm_graph_params & params) :
     llm_build_rwkv7_base(model, params) {
     GGML_ASSERT(hparams.token_shift_count == 2);
 
diff --git a/src/models/seed-oss.cpp b/src/models/seed-oss.cpp
index a4d0b75d8..83e114740 100644
--- a/src/models/seed-oss.cpp
+++ b/src/models/seed-oss.cpp
@@ -1,6 +1,51 @@
 #include "models.h"
 
-llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_seed_oss::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 64: type = LLM_TYPE_36B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_seed_oss::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const uint32_t head_dim             = hparams.n_embd_head_k();
+    const int64_t n_qo_dim              = n_head * head_dim;
+    const int64_t n_kv_dim              = n_head_kv * head_dim;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        create_tensor_qkv(layer, i, n_embd, n_qo_dim, n_kv_dim, n_kv_dim, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_qo_dim, n_embd}, 0);
+
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_post_norm = create_tensor(tn(LLM_TENSOR_ATTN_POST_NORM, "weight", i), {n_embd}, 0);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_seed_oss::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_seed_oss::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -32,27 +77,8 @@ llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -71,7 +97,7 @@ llm_build_seed_oss::llm_build_seed_oss(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/smallthinker.cpp b/src/models/smallthinker.cpp
index 0f7ef462b..3214e7cba 100644
--- a/src/models/smallthinker.cpp
+++ b/src/models/smallthinker.cpp
@@ -1,7 +1,80 @@
 #include "models.h"
 
+void llama_model_smallthinker::load_arch_hparams(llama_model_loader & ml) {
+    const bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false);
+
+    if (found_swa && hparams.n_swa > 0) {
+        hparams.swa_type    = LLAMA_SWA_TYPE_STANDARD;
+        hparams.n_swa       = 4096;
+        uint32_t swa_period = 4;
+        ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, swa_period, false);
+        hparams.set_swa_pattern(swa_period, true);
+
+        hparams.rope_freq_base_train_swa  = hparams.rope_freq_base_train;
+        hparams.rope_freq_scale_train_swa = hparams.rope_freq_scale_train;
+        ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA, hparams.rope_freq_base_train_swa, false);
+    } else {
+        hparams.swa_type             = LLAMA_SWA_TYPE_NONE;
+        hparams.n_no_rope_layer_step = hparams.n_layer;
+    }
+
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,  hparams.n_ff_exp, false);
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,          hparams.expert_gating_func, false);
+
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_4B;  break;
+        case 52: type = LLM_TYPE_20B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_smallthinker::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), { n_embd, n_vocab }, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), { n_embd }, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), { n_embd }, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), { n_embd_head_k * n_head, n_embd }, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), { n_embd }, 0);
+
+        GGML_ASSERT(n_expert > 0 && "n_expert must be > 0 for SMALLTHINKER");
+        GGML_ASSERT(n_expert_used > 0 && "n_expert_used must be > 0 for SMALLTHINKER");
+
+        // MoE branch
+        const int64_t n_ff_exp = hparams.n_ff_exp;
+        layer.ffn_gate_inp  = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP, "weight", i), { n_embd, n_expert }, 0);
+        layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
+        layer.ffn_down_exps = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), { n_ff_exp, n_embd, n_expert }, 0);
+        layer.ffn_up_exps   = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS, "weight", i), { n_embd, n_ff_exp, n_expert }, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_smallthinker::build_arch_graph(const llm_graph_params & params) const {
+    if (hparams.swa_type == LLAMA_SWA_TYPE_STANDARD) {
+        return std::make_unique<graph<true>> (*this, params);
+    } else {
+        return std::make_unique<graph<false>>(*this, params);
+    }
+}
+
 template <bool iswa>
-llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){
+llama_model_smallthinker::graph<iswa>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params){
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -45,18 +118,8 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
         // self_attention
         {
             // compute Q and K and RoPE them
-            struct ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            struct ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            struct ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_rope) {
                 Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig, freq_base_l, freq_scale_l,
@@ -69,7 +132,7 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
             cb(Kcur, "Kcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
@@ -123,5 +186,5 @@ llm_build_smallthinker<iswa>::llm_build_smallthinker(const llama_model & model,
 }
 
 // Explicit template instantiations
-template struct llm_build_smallthinker<false>;
-template struct llm_build_smallthinker<true>;
+template struct llama_model_smallthinker::graph<false>;
+template struct llama_model_smallthinker::graph<true>;
diff --git a/src/models/smollm3.cpp b/src/models/smollm3.cpp
index e267fd8f3..7adaf34c5 100644
--- a/src/models/smollm3.cpp
+++ b/src/models/smollm3.cpp
@@ -1,6 +1,49 @@
 #include "models.h"
 
-llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_smollm3::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    hparams.n_no_rope_layer_step = 4;
+
+    switch (hparams.n_layer) {
+        case 36: type = LLM_TYPE_3B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_smollm3::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_k * n_head, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_smollm3::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_smollm3::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -34,27 +77,8 @@ llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (use_rope) {
                 Qcur = ggml_rope_ext(
@@ -74,7 +98,7 @@ llm_build_smollm3::llm_build_smollm3(const llama_model & model, const llm_graph_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(cur, "attn_out", il);
         }
diff --git a/src/models/stablelm.cpp b/src/models/stablelm.cpp
index ff5aced93..8f613e559 100644
--- a/src/models/stablelm.cpp
+++ b/src/models/stablelm.cpp
@@ -1,6 +1,54 @@
 #include "models.h"
 
-llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_stablelm::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1B; break;
+        case 32: type = LLM_TYPE_3B; break;
+        case 40: type = LLM_TYPE_12B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+}
+
+void llama_model_stablelm::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm =   create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        // optional q and k layernorms, present in StableLM 2 12B
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k, n_head},    TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k, n_head_kv}, TENSOR_NOT_REQUIRED);
+
+        // optional FFN norm, not present in StableLM 2 12B which uses parallel residual
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, TENSOR_NOT_REQUIRED);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_stablelm::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_stablelm::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,30 +78,8 @@ llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_grap
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             if (model.layers[il].attn_q_norm) {
                 Qcur = build_norm(Qcur,
@@ -87,7 +113,7 @@ llm_build_stablelm::llm_build_stablelm(const llama_model & model, const llm_grap
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/starcoder.cpp b/src/models/starcoder.cpp
index 941cee982..58cf0ac0e 100644
--- a/src/models/starcoder.cpp
+++ b/src/models/starcoder.cpp
@@ -1,8 +1,63 @@
 #include "models.h"
 
-llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_starcoder::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 24: type = LLM_TYPE_1B; break;
+        case 36: type = LLM_TYPE_3B; break;
+        case 42: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_15B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_starcoder::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+    pos_embd = create_tensor(tn(LLM_TENSOR_POS_EMBD,   "weight"), {n_embd, n_ctx_train}, 0);
+
+    // output
+    {
+        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+        output        = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+        if (!output) {
+            // needs to be on GPU
+            output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+        }
+
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.wqkv = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "weight", i), {n_embd, n_embd + 2*n_embd_gqa}, 0);
+        layer.wqkv_b = create_tensor(tn(LLM_TENSOR_ATTN_QKV, "bias", i), {n_embd + 2*n_embd_gqa}, 0);
+
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down   = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i),   {n_embd, n_ff}, 0);
+        layer.ffn_up_b = create_tensor(tn(LLM_TENSOR_FFN_UP, "bias", i),     {n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_starcoder::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_starcoder::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
-    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
 
@@ -33,22 +88,11 @@ llm_build_starcoder::llm_build_starcoder(const llama_model & model, const llm_gr
 
         // self-attention
         {
-            cur = build_lora_mm(model.layers[il].wqkv, cur);
-            cb(cur, "wqkv", il);
-
-            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
-            cb(cur, "bqkv", il);
-
-            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
-            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
-            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
-
-            cb(Qcur, "Qcur", il);
-            cb(Kcur, "Kcur", il);
-            cb(Vcur, "Vcur", il);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/starcoder2.cpp b/src/models/starcoder2.cpp
index a5965aceb..45dae0602 100644
--- a/src/models/starcoder2.cpp
+++ b/src/models/starcoder2.cpp
@@ -1,6 +1,61 @@
 #include "models.h"
 
-llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_starcoder2::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS, hparams.f_norm_eps);
+    switch (hparams.n_layer) {
+        case 30: type = LLM_TYPE_3B; break;
+        case 32: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_15B; break;
+        case 52: type = LLM_TYPE_20B; break; // granite
+        case 88: type = LLM_TYPE_34B; break; // granite
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_starcoder2::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "bias", i),   {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        // optional bias tensors
+        layer.wo_b = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, 0);
+
+        layer.ffn_norm   = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_norm_b = create_tensor(tn(LLM_TENSOR_FFN_NORM, "bias", i),   {n_embd}, 0);
+
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+
+        // optional bias tensors
+        layer.ffn_down_b = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, 0);
+        layer.ffn_up_b   = create_tensor(tn(LLM_TENSOR_FFN_UP ,  "bias", i), {  n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_starcoder2::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_starcoder2::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -30,27 +85,8 @@ llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_
         // self-attention
         {
             // compute Q and K and RoPE them
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-            if (model.layers[il].bq) {
-                Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
-                cb(Qcur, "Qcur", il);
-            }
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-            if (model.layers[il].bk) {
-                Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
-                cb(Kcur, "Kcur", il);
-            }
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-            if (model.layers[il].bv) {
-                Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
-                cb(Vcur, "Vcur", il);
-            }
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -69,7 +105,7 @@ llm_build_starcoder2::llm_build_starcoder2(const llama_model & model, const llm_
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, model.layers[il].bo,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/models/step35-iswa.cpp b/src/models/step35.cpp
similarity index 51%
rename from src/models/step35-iswa.cpp
rename to src/models/step35.cpp
index c80cb26c5..c4789752d 100644
--- a/src/models/step35-iswa.cpp
+++ b/src/models/step35.cpp
@@ -1,6 +1,108 @@
 #include "models.h"
 
-llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_step35::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+    hparams.swa_type = LLAMA_SWA_TYPE_STANDARD;
+
+    // full_attention layer only use half of the RoPE dimensions
+    hparams.n_rot_full = hparams.n_rot_full / 2;
+
+    // MoE + SWA parameters
+    ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        hparams.n_ff_exp);
+    ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+    ml.get_key(LLM_KV_EXPERT_GATING_FUNC,                hparams.expert_gating_func, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_SCALE,              hparams.expert_weights_scale, false);
+    ml.get_key(LLM_KV_EXPERT_WEIGHTS_NORM,               hparams.expert_weights_norm, false);
+
+    // Step35 uses sigmoid gating by default (if not set in GGUF)
+    if (hparams.expert_gating_func == LLAMA_EXPERT_GATING_FUNC_TYPE_NONE) {
+        hparams.expert_gating_func = LLAMA_EXPERT_GATING_FUNC_TYPE_SIGMOID;
+    }
+
+    ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW,  hparams.n_swa);
+    ml.get_key(LLM_KV_ROPE_FREQ_BASE_SWA,        hparams.rope_freq_base_train_swa, false);
+    ml.get_key_or_arr(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, hparams.swa_layers, hparams.n_layer);
+    ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_EXP,   hparams.swiglu_clamp_exp,   hparams.n_layer, false);
+    ml.get_key_or_arr(LLM_KV_SWIGLU_CLAMP_SHEXP, hparams.swiglu_clamp_shexp, hparams.n_layer, false);
+
+    switch (hparams.n_layer) {
+        case 45: type = LLM_TYPE_196B_A11B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_step35::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    // STEP35 supports per-layer partial RoPE dims; rope factors are stored as a single shared tensor
+    // ("rope_freqs.weight") and ggml uses only the first (n_rot_l/2) entries per layer.
+    uint32_t n_rot_max = 0;
+    for (int i = 0; i < n_layer; ++i) {
+        n_rot_max = std::max(n_rot_max, hparams.n_rot(i));
+    }
+    if (n_rot_max == 0) {
+        n_rot_max = n_rot;
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        const uint32_t n_head_l      = hparams.n_head(i);
+        const uint32_t n_embd_k_gqa  = hparams.n_embd_k_gqa(i);
+        const uint32_t n_embd_v_gqa  = hparams.n_embd_v_gqa(i);
+
+        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+        layer.attn_q_norm = create_tensor(tn(LLM_TENSOR_ATTN_Q_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED);
+        layer.attn_k_norm = create_tensor(tn(LLM_TENSOR_ATTN_K_NORM, "weight", i), {n_embd_head_k}, TENSOR_NOT_REQUIRED);
+
+        // optional rope factors (llama3) / longrope tensors
+        if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
+            layer.rope_long  = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG,  "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+            layer.rope_short = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_SHORT, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        } else {
+            layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot_max/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
+        }
+
+        create_tensor_qkv(layer, i, n_embd, n_embd_head_k * n_head_l, n_embd_k_gqa, n_embd_v_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd_head_v * n_head_l, n_embd}, 0);
+
+        // head-wise attention gate (Step35 self_attn.g_proj)
+        layer.wqkv_gate = create_tensor(tn(LLM_TENSOR_ATTN_GATE, "weight", i), {n_embd, n_head_l}, TENSOR_NOT_REQUIRED);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+
+        // dense MLP (leading dense blocks)
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
+
+        // MoE routed experts + selection bias (router_bias)
+        const int64_t n_ff_exp = hparams.n_ff_exp;
+        layer.ffn_gate_inp      = create_tensor(tn(LLM_TENSOR_FFN_GATE_INP,  "weight", i), {n_embd, n_expert}, TENSOR_NOT_REQUIRED);
+        layer.ffn_gate_exps     = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_exps     = create_tensor(tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_exps       = create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {n_embd, n_ff_exp,   n_expert}, TENSOR_NOT_REQUIRED);
+        layer.ffn_exp_probs_b   = create_tensor(tn(LLM_TENSOR_FFN_EXP_PROBS_B, "bias", i), {n_expert}, TENSOR_NOT_REQUIRED);
+
+        // shared expert MLP
+        layer.ffn_gate_shexp = create_tensor(tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED);
+        layer.ffn_up_shexp   = create_tensor(tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, hparams.n_ff_shexp}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_shexp = create_tensor(tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {hparams.n_ff_shexp, n_embd}, TENSOR_NOT_REQUIRED);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_step35::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_step35::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
@@ -68,7 +170,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
 
             const float kq_scale = 1.0f / sqrtf(float(n_embd_head_k));
             ggml_tensor * attn_out = build_attn(inp_attn,
-                    nullptr, nullptr,
+                    nullptr, nullptr, nullptr,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
             cb(attn_out, "attn_out", il);
             // head-wise attention gate: sigmoid(g_proj(x)) in torch
@@ -92,7 +194,7 @@ llm_build_step35_iswa::llm_build_step35_iswa(const llama_model & model, const ll
             }
 
             // output projection
-            cur = build_lora_mm(model.layers[il].wo, attn_out);
+            cur = build_lora_mm(model.layers[il].wo, attn_out, model.layers[il].wo_s);
             cb(cur, "attn_proj", il);
         }
 
diff --git a/src/models/t5-dec.cpp b/src/models/t5-dec.cpp
deleted file mode 100644
index 8ca8372bd..000000000
--- a/src/models/t5-dec.cpp
+++ /dev/null
@@ -1,166 +0,0 @@
-#include "models.h"
-
-llm_build_t5_dec::llm_build_t5_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-    //const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    ggml_tensor * embd_enc       = build_inp_cross_embd();
-    ggml_tensor * pos_bucket_dec = build_inp_pos_bucket_dec();
-
-    const int64_t n_outputs_enc = embd_enc->ne[1];
-
-    auto * inp_attn_self  = build_attn_inp_kv();
-    auto * inp_attn_cross = build_attn_inp_cross();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    const int64_t dec_n_layer = hparams.dec_n_layer;
-
-    for (int il = 0; il < dec_n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b ? model.layers[il].attn_rel_b : model.layers[0].attn_rel_b;
-            ggml_tensor * kq_b = build_pos_bias(pos_bucket_dec, attn_rel_b);
-
-            cur = build_attn(inp_attn_self,
-                    model.layers[il].wo, model.layers[il].bo,
-                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-        }
-        cur = ggml_add(ctx0, cur, inpSA);
-        cb(cur, "cross_inp", il);
-
-        ggml_tensor * inpCA = cur;
-
-        // norm
-        cur = build_norm(cur,
-                model.layers[il].attn_norm_cross, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm_cross", il);
-
-        // cross-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_cross, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_cross, embd_enc);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_cross, embd_enc);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_outputs_enc);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_outputs_enc);
-
-            cur = build_attn(inp_attn_cross,
-                    model.layers[il].wo_cross, nullptr,
-                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-
-            //ggml_tensor * q =                 ggml_permute(ctx0, Qcur, 0, 2, 1, 3);
-            //ggml_tensor * k = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 0, 2, 1, 3));
-
-            //ggml_tensor * kq = ggml_mul_mat(ctx0, k, q);
-            //cb(kq, "kq", il);
-
-            //kq = ggml_soft_max_ext(ctx0, kq, KQ_mask_cross, 1.0f, hparams.f_max_alibi_bias);
-            //cb(kq, "kq_soft_max_ext", il);
-
-            //ggml_tensor * v = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_2d(ctx0, Vcur, n_embd_gqa, n_outputs_enc)));
-            //cb(v, "v", il);
-
-            //ggml_tensor * kqv = ggml_mul_mat(ctx0, ggml_reshape_3d(ctx0, v, n_outputs_enc, n_embd_head, n_head_kv), kq);
-            //cb(kqv, "kqv", il);
-
-            //ggml_tensor * kqv_merged = ggml_permute(ctx0, kqv, 0, 2, 1, 3);
-            //cb(kqv_merged, "kqv_merged", il);
-
-            //cur = ggml_cont_2d(ctx0, kqv_merged, n_embd_gqa, n_tokens);
-            //cb(cur, "kqv_merged_cont", il);
-
-            //ggml_build_forward_expand(gf, cur);
-
-            //cur = build_lora_mm(model.layers[il].wo_cross, cur);
-            //cb(cur, "kqv_out", il);
-        }
-        if (il == dec_n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpCA = ggml_get_rows(ctx0, inpCA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpCA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network
-        {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            // T5 uses relu, flan-T5 uses gelu-gated
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up,   NULL, NULL,
-                    model.layers[il].ffn_gate, NULL, NULL,
-                    model.layers[il].ffn_down, NULL, NULL,
-                    NULL,
-                    model.layers[il].ffn_gate ? LLM_FFN_GELU : LLM_FFN_RELU,
-                    model.layers[il].ffn_gate ? LLM_FFN_PAR : LLM_FFN_SEQ,
-                    il);
-            cb(cur, "ffn_out", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-    cb(cur, "result_embd", -1);
-
-    cur = build_norm(cur,
-            model.output_norm, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    // lm_head
-    cur = build_lora_mm(model.output, cur);
-
-    cb(cur, "result_output", -1);
-    res->t_logits = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/t5-enc.cpp b/src/models/t5-enc.cpp
deleted file mode 100644
index 395dfb510..000000000
--- a/src/models/t5-enc.cpp
+++ /dev/null
@@ -1,96 +0,0 @@
-#include "models.h"
-
-llm_build_t5_enc::llm_build_t5_enc(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
-    const int64_t n_embd_head = hparams.n_embd_head_v();
-
-    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
-
-    ggml_tensor * cur;
-    ggml_tensor * inpL;
-
-    inpL = build_inp_embd(model.tok_embd);
-
-    ggml_tensor * pos_bucket_enc = build_inp_pos_bucket_enc();
-
-    auto * inp_attn = build_attn_inp_no_cache();
-
-    ggml_tensor * inp_out_ids = build_inp_out_ids();
-
-    for (int il = 0; il < n_layer; ++il) {
-        ggml_tensor * inpSA = inpL;
-
-        // norm
-        cur = build_norm(inpL,
-                model.layers[il].attn_norm_enc, NULL,
-                LLM_NORM_RMS, il);
-        cb(cur, "attn_norm", il);
-
-        // self-attention
-        {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_enc, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_enc, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_enc, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
-
-            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b_enc ? model.layers[il].attn_rel_b_enc : model.layers[0].attn_rel_b_enc;
-            ggml_tensor * kq_b = build_pos_bias(pos_bucket_enc, attn_rel_b);
-
-            cur = build_attn(inp_attn,
-                    model.layers[il].wo_enc, nullptr,
-                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
-            cb(cur, "kqv_out", il);
-        }
-        if (il == n_layer - 1 && inp_out_ids) {
-            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
-            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
-        }
-        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
-        cb(ffn_inp, "ffn_inp", il);
-
-        // feed-forward network
-        {
-            cur = build_norm(ffn_inp,
-                    model.layers[il].ffn_norm_enc, NULL,
-                    LLM_NORM_RMS, il);
-            cb(cur, "ffn_norm", il);
-
-            // T5 uses relu, flan-T5 uses gelu-gated
-            cur = build_ffn(cur,
-                    model.layers[il].ffn_up_enc,   NULL, NULL,
-                    model.layers[il].ffn_gate_enc, NULL, NULL,
-                    model.layers[il].ffn_down_enc, NULL, NULL,
-                    NULL,
-                    model.layers[il].ffn_gate_enc ? LLM_FFN_GELU : LLM_FFN_RELU,
-                    model.layers[il].ffn_gate_enc ? LLM_FFN_PAR  : LLM_FFN_SEQ,
-                    il);
-            cb(cur, "ffn_out", il);
-        }
-        cur = ggml_add(ctx0, cur, ffn_inp);
-        cb(cur, "ffn_out", il);
-
-        cur = build_cvec(cur, il);
-        cb(cur, "l_out", il);
-
-        // input for next layer
-        inpL = cur;
-    }
-    cur = inpL;
-    cb(cur, "result_embd", -1);
-
-    cur = build_norm(cur,
-            model.output_norm_enc, NULL,
-            LLM_NORM_RMS, -1);
-
-    cb(cur, "result_norm", -1);
-    res->t_embd = cur;
-
-    ggml_build_forward_expand(gf, cur);
-}
diff --git a/src/models/t5.cpp b/src/models/t5.cpp
new file mode 100644
index 000000000..27a0711ba
--- /dev/null
+++ b/src/models/t5.cpp
@@ -0,0 +1,370 @@
+#include "models.h"
+
+void llama_model_t5::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,      hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts);
+
+    uint32_t dec_start_token_id;
+    if (ml.get_key(LLM_KV_DECODER_START_TOKEN_ID, dec_start_token_id, false)) {
+        hparams.dec_start_token_id = dec_start_token_id;
+    }
+
+    hparams.dec_n_layer = hparams.n_layer;
+    ml.get_key(LLM_KV_DECODER_BLOCK_COUNT, hparams.dec_n_layer, false);
+
+    switch (hparams.n_layer) {
+        case 6:  type = LLM_TYPE_60M;  break; // t5-small
+        case 8:  type = LLM_TYPE_80M;  break; // flan-t5-small
+        case 12:
+            switch (hparams.n_ff()) {
+                case 3072: type = LLM_TYPE_220M; break; // t5-base
+                case 2048: type = LLM_TYPE_250M; break; // flan-t5-base
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        case 24:
+            switch (hparams.n_ff()) {
+                case 4096:  type = LLM_TYPE_770M; break; // t5-large
+                case 2816:  type = LLM_TYPE_780M; break; // flan-t5-large
+                case 16384: type = LLM_TYPE_3B;   break; // t5-3b
+                case 5120:  type = LLM_TYPE_3B;   break; // flan-t5-xl
+                case 65536: type = LLM_TYPE_11B;  break; // t5-11b
+                case 10240: type = LLM_TYPE_11B;  break; // flan-t5-xxl
+                default: type = LLM_TYPE_UNKNOWN;
+            } break;
+        default: type = LLM_TYPE_UNKNOWN;
+   }
+}
+
+void llama_model_t5::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output_norm     = create_tensor(tn(LLM_TENSOR_DEC_OUTPUT_NORM, "weight"), {n_embd}, 0);
+
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    // n_layer:     number of encoder_layers
+    // dec_n_layer: number of decoder_layers
+    const int dec_n_layer = hparams.dec_n_layer;
+    if (dec_n_layer > n_layer) {
+        layers.resize(dec_n_layer);
+    }
+
+    // load encoder layers
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm_enc  = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM,  "weight", i), {n_embd}, 0);
+        layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
+
+        layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+        layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
+
+        layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up_enc   = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+
+    // load decoder layers
+    for (int i = 0; i < dec_n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm  = create_tensor(tn(LLM_TENSOR_DEC_ATTN_NORM,  "weight", i), {n_embd}, 0);
+        layer.attn_rel_b = create_tensor(tn(LLM_TENSOR_DEC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
+
+        layer.wq = create_tensor(tn(LLM_TENSOR_DEC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wk = create_tensor(tn(LLM_TENSOR_DEC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wv = create_tensor(tn(LLM_TENSOR_DEC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_DEC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
+
+        layer.attn_norm_cross  = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_NORM,  "weight", i), {n_embd}, 0);
+        // this tensor seems to be unused in HF transformers implementation
+        layer.attn_rel_b_cross = create_tensor(
+            tn(LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED | TENSOR_SKIP_IF_VIRTUAL);
+
+        layer.wq_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wk_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wv_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+        layer.wo_cross = create_tensor(tn(LLM_TENSOR_DEC_CROSS_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_DEC_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_DEC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_DEC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_DEC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_t5::build_arch_graph(const llm_graph_params & params) const {
+    switch (params.gtype) {
+        case LLM_GRAPH_TYPE_ENCODER:
+            return std::make_unique<graph<true>>(*this, params);
+        case LLM_GRAPH_TYPE_DEFAULT:
+        case LLM_GRAPH_TYPE_DECODER:
+            return std::make_unique<graph<false>>(*this, params);
+        default:
+            GGML_ABORT("invalid graph type");
+    };
+}
+
+template <>
+llama_model_t5::graph<false>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+    //const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    ggml_tensor * embd_enc       = build_inp_cross_embd();
+    ggml_tensor * pos_bucket_dec = build_inp_pos_bucket_dec();
+
+    const int64_t n_outputs_enc = embd_enc->ne[1];
+
+    auto * inp_attn_self  = build_attn_inp_kv();
+    auto * inp_attn_cross = build_attn_inp_cross();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    const int64_t dec_n_layer = hparams.dec_n_layer;
+
+    for (int il = 0; il < dec_n_layer; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+
+        // self-attention
+        {
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur, n_embd_head, n_head, n_head_kv, il);
+
+            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b ? model.layers[il].attn_rel_b : model.layers[0].attn_rel_b;
+            ggml_tensor * kq_b = build_pos_bias(pos_bucket_dec, attn_rel_b);
+
+            cur = build_attn(inp_attn_self,
+                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,
+                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
+            cb(cur, "kqv_out", il);
+        }
+        cur = ggml_add(ctx0, cur, inpSA);
+        cb(cur, "cross_inp", il);
+
+        ggml_tensor * inpCA = cur;
+
+        // norm
+        cur = build_norm(cur,
+                model.layers[il].attn_norm_cross, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm_cross", il);
+
+        // cross-attention
+        {
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_cross, cur);
+            cb(Qcur, "Qcur", il);
+
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_cross, embd_enc);
+            cb(Kcur, "Kcur", il);
+
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_cross, embd_enc);
+            cb(Vcur, "Vcur", il);
+
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_outputs_enc);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_outputs_enc);
+
+            cur = build_attn(inp_attn_cross,
+                    model.layers[il].wo_cross, nullptr, nullptr,
+                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f, il);
+            cb(cur, "kqv_out", il);
+
+            //ggml_tensor * q =                 ggml_permute(ctx0, Qcur, 0, 2, 1, 3);
+            //ggml_tensor * k = ggml_cont(ctx0, ggml_permute(ctx0, Kcur, 0, 2, 1, 3));
+
+            //ggml_tensor * kq = ggml_mul_mat(ctx0, k, q);
+            //cb(kq, "kq", il);
+
+            //kq = ggml_soft_max_ext(ctx0, kq, KQ_mask_cross, 1.0f, hparams.f_max_alibi_bias);
+            //cb(kq, "kq_soft_max_ext", il);
+
+            //ggml_tensor * v = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_2d(ctx0, Vcur, n_embd_gqa, n_outputs_enc)));
+            //cb(v, "v", il);
+
+            //ggml_tensor * kqv = ggml_mul_mat(ctx0, ggml_reshape_3d(ctx0, v, n_outputs_enc, n_embd_head, n_head_kv), kq);
+            //cb(kqv, "kqv", il);
+
+            //ggml_tensor * kqv_merged = ggml_permute(ctx0, kqv, 0, 2, 1, 3);
+            //cb(kqv_merged, "kqv_merged", il);
+
+            //cur = ggml_cont_2d(ctx0, kqv_merged, n_embd_gqa, n_tokens);
+            //cb(cur, "kqv_merged_cont", il);
+
+            //ggml_build_forward_expand(gf, cur);
+
+            //cur = build_lora_mm(model.layers[il].wo_cross, cur);
+            //cb(cur, "kqv_out", il);
+        }
+        if (il == dec_n_layer - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpCA = ggml_get_rows(ctx0, inpCA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpCA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // feed-forward network
+        {
+            cur = build_norm(ffn_inp,
+                    model.layers[il].ffn_norm, NULL,
+                    LLM_NORM_RMS, il);
+            cb(cur, "ffn_norm", il);
+
+            // T5 uses relu, flan-T5 uses gelu-gated
+            cur = build_ffn(cur,
+                    model.layers[il].ffn_up,   NULL, NULL,
+                    model.layers[il].ffn_gate, NULL, NULL,
+                    model.layers[il].ffn_down, NULL, NULL,
+                    NULL,
+                    model.layers[il].ffn_gate ? LLM_FFN_GELU : LLM_FFN_RELU,
+                    model.layers[il].ffn_gate ? LLM_FFN_PAR : LLM_FFN_SEQ,
+                    il);
+            cb(cur, "ffn_out", il);
+        }
+        cur = ggml_add(ctx0, cur, ffn_inp);
+        cb(cur, "ffn_out", il);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+    cb(cur, "result_embd", -1);
+
+    cur = build_norm(cur,
+            model.output_norm, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    // lm_head
+    cur = build_lora_mm(model.output, cur);
+
+    cb(cur, "result_output", -1);
+    res->t_logits = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
+
+template <>
+llama_model_t5::graph<true>::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+    const int64_t n_embd_head = hparams.n_embd_head_v();
+
+    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
+
+    ggml_tensor * cur;
+    ggml_tensor * inpL;
+
+    inpL = build_inp_embd(model.tok_embd);
+
+    ggml_tensor * pos_bucket_enc = build_inp_pos_bucket_enc();
+
+    auto * inp_attn = build_attn_inp_no_cache();
+
+    ggml_tensor * inp_out_ids = build_inp_out_ids();
+
+    for (int il = 0; il < n_layer; ++il) {
+        ggml_tensor * inpSA = inpL;
+
+        // norm
+        cur = build_norm(inpL,
+                model.layers[il].attn_norm_enc, NULL,
+                LLM_NORM_RMS, il);
+        cb(cur, "attn_norm", il);
+
+        // self-attention
+        {
+            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq_enc, cur);
+            cb(Qcur, "Qcur", il);
+
+            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk_enc, cur);
+            cb(Kcur, "Kcur", il);
+
+            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv_enc, cur);
+            cb(Vcur, "Vcur", il);
+
+            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+
+            ggml_tensor * attn_rel_b = model.layers[il].attn_rel_b_enc ? model.layers[il].attn_rel_b_enc : model.layers[0].attn_rel_b_enc;
+            ggml_tensor * kq_b = build_pos_bias(pos_bucket_enc, attn_rel_b);
+
+            cur = build_attn(inp_attn,
+                    model.layers[il].wo_enc, nullptr, nullptr,
+                    Qcur, Kcur, Vcur, kq_b, nullptr, nullptr, 1.0f, il);
+            cb(cur, "kqv_out", il);
+        }
+        if (il == n_layer - 1 && inp_out_ids) {
+            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+        }
+        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+        cb(ffn_inp, "ffn_inp", il);
+
+        // feed-forward network
+        {
+            cur = build_norm(ffn_inp,
+                    model.layers[il].ffn_norm_enc, NULL,
+                    LLM_NORM_RMS, il);
+            cb(cur, "ffn_norm", il);
+
+            // T5 uses relu, flan-T5 uses gelu-gated
+            cur = build_ffn(cur,
+                    model.layers[il].ffn_up_enc,   NULL, NULL,
+                    model.layers[il].ffn_gate_enc, NULL, NULL,
+                    model.layers[il].ffn_down_enc, NULL, NULL,
+                    NULL,
+                    model.layers[il].ffn_gate_enc ? LLM_FFN_GELU : LLM_FFN_RELU,
+                    model.layers[il].ffn_gate_enc ? LLM_FFN_PAR  : LLM_FFN_SEQ,
+                    il);
+            cb(cur, "ffn_out", il);
+        }
+        cur = ggml_add(ctx0, cur, ffn_inp);
+        cb(cur, "ffn_out", il);
+
+        cur = build_cvec(cur, il);
+        cb(cur, "l_out", il);
+
+        // input for next layer
+        inpL = cur;
+    }
+    cur = inpL;
+    cb(cur, "result_embd", -1);
+
+    cur = build_norm(cur,
+            model.output_norm_enc, NULL,
+            LLM_NORM_RMS, -1);
+
+    cb(cur, "result_norm", -1);
+    res->t_embd = cur;
+
+    ggml_build_forward_expand(gf, cur);
+}
diff --git a/src/models/t5encoder.cpp b/src/models/t5encoder.cpp
new file mode 100644
index 000000000..23c5f9b6a
--- /dev/null
+++ b/src/models/t5encoder.cpp
@@ -0,0 +1,44 @@
+#include "models.h"
+
+void llama_model_t5encoder::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    ml.get_key(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, hparams.n_rel_attn_bkts);
+    type = LLM_TYPE_UNKNOWN;
+}
+
+void llama_model_t5encoder::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    const auto n_rel_attn_bkts = hparams.n_rel_attn_bkts;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    // output
+    output_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, TENSOR_NOT_REQUIRED);
+    // if output is NULL, init from the input tok embed
+    if (output == NULL) {
+        output = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, TENSOR_DUPLICATED);
+    }
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm_enc  = create_tensor(tn(LLM_TENSOR_ENC_ATTN_NORM,  "weight", i), {n_embd}, 0);
+        layer.attn_rel_b_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_REL_B, "weight", i), {n_head, n_rel_attn_bkts}, TENSOR_NOT_REQUIRED);
+
+        layer.wq_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_Q,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wk_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_K,   "weight", i), {n_embd, n_embd_k_gqa}, 0);
+        layer.wv_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_V,   "weight", i), {n_embd, n_embd_v_gqa}, 0);
+        layer.wo_enc = create_tensor(tn(LLM_TENSOR_ENC_ATTN_OUT, "weight", i), {n_embd_v_gqa, n_embd}, 0);
+
+        layer.ffn_norm_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_GATE, "weight", i), {n_embd,   n_ff}, TENSOR_NOT_REQUIRED);
+        layer.ffn_down_enc = create_tensor(tn(LLM_TENSOR_ENC_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up_enc   = create_tensor(tn(LLM_TENSOR_ENC_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_t5encoder::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
diff --git a/src/models/wavtokenizer-dec.cpp b/src/models/wavtokenizer-dec.cpp
index a7776d9cd..a873e5d2e 100644
--- a/src/models/wavtokenizer-dec.cpp
+++ b/src/models/wavtokenizer-dec.cpp
@@ -1,6 +1,121 @@
 #include "models.h"
 
-llm_build_wavtokenizer_dec::llm_build_wavtokenizer_dec(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_wavtokenizer_dec::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_EPS,    hparams.f_norm_eps);
+    ml.get_key(LLM_KV_ATTENTION_GROUPNORM_EPS,    hparams.f_norm_group_eps);
+    ml.get_key(LLM_KV_ATTENTION_GROUPNORM_GROUPS, hparams.n_norm_groups);
+}
+
+void llama_model_wavtokenizer_dec::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {hparams.n_embd, n_vocab}, 0);
+
+    conv1d   = create_tensor(tn(LLM_TENSOR_CONV1D, "weight", 0), {7, hparams.n_embd, hparams.posnet.n_embd}, 0);
+    conv1d_b = create_tensor(tn(LLM_TENSOR_CONV1D, "bias",   0), {1, hparams.posnet.n_embd}, 0);
+
+    // posnet
+    {
+        const int64_t n_embd = hparams.posnet.n_embd;
+
+        for (uint32_t i = 0; i < hparams.posnet.n_layer; ++i) {
+            auto & layer = layers[i].posnet;
+
+            // posnet:
+            //
+            //  - resnet
+            //  - resnet
+            //  - attn
+            //  - resnet
+            //  - resnet
+            //  - norm
+            //
+            switch (i) {
+                case 0:
+                case 1:
+                case 3:
+                case 4:
+                    {
+                        layer.norm1   = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "weight", i), {1, n_embd}, 0);
+                        layer.norm1_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM1, "bias",   i), {1, n_embd}, 0);
+
+                        layer.conv1   = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "weight", i), {3, n_embd, n_embd}, 0);
+                        layer.conv1_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV1, "bias",   i), {1, n_embd}, 0);
+
+                        layer.norm2   = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "weight", i), {1, n_embd}, 0);
+                        layer.norm2_b = create_tensor(tn(LLM_TENSOR_POS_NET_NORM2, "bias",   i), {1, n_embd}, 0);
+
+                        layer.conv2   = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "weight", i), {3, n_embd, n_embd}, 0);
+                        layer.conv2_b = create_tensor(tn(LLM_TENSOR_POS_NET_CONV2, "bias",   i), {1, n_embd}, 0);
+                    } break;
+                case 2:
+                    {
+                        layer.attn_norm   = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0);
+                        layer.attn_norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias",   i), {1, n_embd}, 0);
+
+                        layer.attn_q      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q,    "weight", i), {1, n_embd, n_embd}, 0);
+                        layer.attn_q_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_Q,    "bias",   i), {1, n_embd}, 0);
+
+                        layer.attn_k      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K,    "weight", i), {1, n_embd, n_embd}, 0);
+                        layer.attn_k_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_K,    "bias",   i), {1, n_embd}, 0);
+
+                        layer.attn_v      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V,    "weight", i), {1, n_embd, n_embd}, 0);
+                        layer.attn_v_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_V,    "bias",   i), {1, n_embd}, 0);
+
+                        layer.attn_o      = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT,  "weight", i), {1, n_embd, n_embd}, 0);
+                        layer.attn_o_b    = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_OUT,  "bias",   i), {1, n_embd}, 0);
+                    } break;
+                case 5:
+                    {
+                        layer.norm   = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "weight", i), {1, n_embd}, 0);
+                        layer.norm_b = create_tensor(tn(LLM_TENSOR_POS_NET_ATTN_NORM, "bias",   i), {1, n_embd}, 0);
+                    } break;
+                default: GGML_ABORT("unknown posnet layer");
+            };
+        }
+    }
+
+    GGML_ASSERT(hparams.posnet.n_embd == hparams.convnext.n_embd);
+
+    tok_norm   = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "weight", 0), {hparams.posnet.n_embd}, 0);
+    tok_norm_b = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD_NORM, "bias",   0), {hparams.posnet.n_embd}, 0);
+
+    // convnext
+    {
+        const int64_t n_embd = hparams.convnext.n_embd;
+
+        for (uint32_t i = 0; i < hparams.convnext.n_layer; ++i) {
+            auto & layer = layers[i].convnext;
+
+            layer.dw     = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW,    "weight", i), {7, 1, n_embd}, 0);
+            layer.dw_b   = create_tensor(tn(LLM_TENSOR_CONVNEXT_DW,    "bias",   i), {1, n_embd}, 0);
+
+            layer.norm   = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM,  "weight", i), {n_embd}, 0);
+            layer.norm_b = create_tensor(tn(LLM_TENSOR_CONVNEXT_NORM,  "bias",   i), {n_embd}, 0);
+
+            layer.pw1    = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1,   "weight", i), {n_embd, n_ff}, 0);
+            layer.pw1_b  = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW1,   "bias",   i), {n_ff}, 0);
+
+            layer.pw2    = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2,   "weight", i), {n_ff, n_embd}, 0);
+            layer.pw2_b  = create_tensor(tn(LLM_TENSOR_CONVNEXT_PW2,   "bias",   i), {n_embd}, 0);
+
+            layer.gamma  = create_tensor(tn(LLM_TENSOR_CONVNEXT_GAMMA, "weight", i), {n_embd}, 0);
+        }
+
+        // output
+        output_norm   = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+        output_norm_b = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "bias"),   {n_embd}, 0);
+    }
+
+    output   = create_tensor(tn(LLM_TENSOR_OUTPUT, "weight"), {hparams.convnext.n_embd, hparams.n_embd_out()}, 0);
+    output_b = create_tensor(tn(LLM_TENSOR_OUTPUT, "bias"),   {hparams.n_embd_out()}, 0);
+}
+
+std::unique_ptr<llm_graph_context> llama_model_wavtokenizer_dec::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_wavtokenizer_dec::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     ggml_tensor * cur;
     ggml_tensor * inpL;
 
diff --git a/src/models/xverse.cpp b/src/models/xverse.cpp
index 3a8dfafcc..e4d111e62 100644
--- a/src/models/xverse.cpp
+++ b/src/models/xverse.cpp
@@ -1,6 +1,43 @@
 #include "models.h"
 
-llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
+void llama_model_xverse::load_arch_hparams(llama_model_loader & ml) {
+    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+    switch (hparams.n_layer) {
+        case 32: type = LLM_TYPE_7B; break;
+        case 40: type = LLM_TYPE_13B; break;
+        case 80: type = LLM_TYPE_65B; break;
+        default: type = LLM_TYPE_UNKNOWN;
+    }
+}
+
+void llama_model_xverse::load_arch_tensors(llama_model_loader &) {
+    LLAMA_LOAD_LOCALS;
+
+    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
+
+    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);
+    output      = create_tensor(tn(LLM_TENSOR_OUTPUT,      "weight"), {n_embd, n_vocab}, 0);
+
+    for (int i = 0; i < n_layer; ++i) {
+        auto & layer = layers[i];
+
+        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
+
+        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);
+        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);
+
+        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
+        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff}, 0);
+        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {  n_ff, n_embd}, 0);
+        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd,   n_ff}, 0);
+    }
+}
+
+std::unique_ptr<llm_graph_context> llama_model_xverse::build_arch_graph(const llm_graph_params & params) const {
+    return std::make_unique<graph>(*this, params);
+}
+
+llama_model_xverse::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {
     const int64_t n_embd_head = hparams.n_embd_head_v();
 
     GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
@@ -28,18 +65,8 @@ llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_pa
 
         // self-attention
         {
-            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
-            cb(Qcur, "Qcur", il);
-
-            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
-            cb(Kcur, "Kcur", il);
-
-            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
-            cb(Vcur, "Vcur", il);
-
-            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);
-            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
-            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
+            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
+                    n_embd_head, n_head, n_head_kv, il);
 
             Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
@@ -58,7 +85,7 @@ llm_build_xverse::llm_build_xverse(const llama_model & model, const llm_graph_pa
             cb(Vcur, "Vcur", il);
 
             cur = build_attn(inp_attn,
-                    model.layers[il].wo, NULL,
+                    model.layers[il].wo, NULL, model.layers[il].wo_s,
                     Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
         }
         if (il == n_layer - 1 && inp_out_ids) {
diff --git a/src/unicode.cpp b/src/unicode.cpp
index 506540163..dc13e53f0 100644
--- a/src/unicode.cpp
+++ b/src/unicode.cpp
@@ -470,6 +470,141 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
     return bpe_offsets;
 }
 
+// Qwen2 system regex: "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+static std::vector<size_t> unicode_regex_split_custom_qwen2(const std::string & text, const std::vector<size_t> & offsets) {
+    std::vector<size_t> bpe_offsets; // store the offset of each word
+    bpe_offsets.reserve(offsets.size()); // Reserve memory for the approximate size
+
+    const auto cpts = unicode_cpts_from_utf8(text);
+
+    size_t start = 0;
+    for (auto offset : offsets) {
+        const size_t offset_ini = start;
+        const size_t offset_end = start + offset;
+        assert(offset_end <= cpts.size());
+        start = offset_end;
+
+        static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF;
+        auto _get_cpt = [&] (const size_t pos) -> uint32_t {
+            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE;
+        };
+
+        auto _get_flags = [&] (const size_t pos) -> unicode_cpt_flags {
+            return (offset_ini <= pos && pos < offset_end) ? unicode_cpt_flags_from_cpt(cpts[pos]) : unicode_cpt_flags{};
+        };
+
+        size_t _prev_end = offset_ini;
+        auto _add_token = [&] (const size_t end) -> size_t {
+            assert(_prev_end <= end && end <= offset_end);
+            size_t len = end - _prev_end;
+            if (len > 0) {
+                bpe_offsets.push_back(len);
+            }
+            _prev_end = end;
+            //if (len > 0) {
+            //    std::string s = "";
+            //    for(size_t p = end-len; p < end; p++)
+            //        s += unicode_cpt_to_utf8(cpts[p]);
+            //    printf(">>> '%s'\n", s.c_str());
+            //}
+            return len;
+        };
+
+        for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
+            const uint32_t cpt = _get_cpt(pos);
+            const auto flags = _get_flags(pos);
+
+            // regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive
+            if (cpt == '\'' && pos+1 < offset_end) {
+                uint32_t cpt_next = unicode_tolower(_get_cpt(pos+1));
+                if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
+                    pos += _add_token(pos+2);
+                    continue;
+                }
+                if (pos+2 < offset_end) {
+                    uint32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2));
+                    if ((cpt_next == 'r' && cpt_next_next == 'e') ||
+                        (cpt_next == 'v' && cpt_next_next == 'e') ||
+                        (cpt_next == 'l' && cpt_next_next == 'l')) {
+                        pos += _add_token(pos+3);
+                        continue;
+                    }
+                }
+            }
+
+            // regex: [^\r\n\p{L}\p{N}]?\p{L}+
+            if (!(cpt == '\r' || cpt == '\n' || flags.is_number)) {
+                if (flags.is_letter || _get_flags(pos+1).is_letter) {  // one or more letters
+                    pos++;
+                    while (_get_flags(pos).is_letter) {
+                        pos++;
+                    }
+                    _add_token(pos);
+                    continue;
+                }
+            }
+
+            // regex: \p{N}
+            if (flags.is_number) {
+                pos++;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: <space>?[^\s\p{L}\p{N}]+[\r\n]*
+            auto flags2 = (cpt == ' ' ? _get_flags(pos+1) : flags);
+            if (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags.as_uint()) {
+                pos += (cpt == ' ');
+                while (!(flags2.is_whitespace | flags2.is_letter | flags2.is_number) && flags2.as_uint()) {
+                    flags2 = _get_flags(++pos);
+                }
+                uint32_t cpt2 = _get_cpt(pos);
+                while (cpt2 == '\r' || cpt2 == '\n') {
+                    cpt2 = _get_cpt(++pos);
+                }
+                _add_token(pos);
+                continue;
+            }
+
+            size_t num_whitespaces = 0;
+            size_t last_end_r_or_n = 0;
+            while (_get_flags(pos+num_whitespaces).is_whitespace) {
+                uint32_t cpt2 = _get_cpt(pos+num_whitespaces);
+                if (cpt2 == '\r' || cpt2 == '\n') {
+                    last_end_r_or_n = pos + num_whitespaces + 1;
+                }
+                num_whitespaces++;
+            }
+
+            // regex: \s*[\r\n]+
+            if (last_end_r_or_n > 0) {
+                pos = last_end_r_or_n;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: \s+(?!\S)
+            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) {
+                pos += num_whitespaces - 1;
+                _add_token(pos);
+                continue;
+            }
+
+            // regex: \s+
+            if (num_whitespaces > 0) {
+                pos += num_whitespaces;
+                _add_token(pos);
+                continue;
+            }
+
+            // no matches
+            _add_token(++pos);
+        }
+    }
+
+    return bpe_offsets;
+}
+
 template <typename CharT>
 static std::vector<size_t> unicode_regex_split_stl(const std::basic_string<CharT> & text, const std::basic_string<CharT> & regex, const std::vector<size_t> & offsets) {
     using BidirIt = typename std::basic_string<CharT>::const_iterator;
@@ -790,8 +925,10 @@ static std::vector<size_t> unicode_regex_split_custom(const std::string & text,
     } else if (
             regex_expr == "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" ||
             regex_expr == "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+") {
-
         bpe_offsets = unicode_regex_split_custom_llama3(text, offsets);
+    } else if (
+           regex_expr == "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+") {
+        bpe_offsets = unicode_regex_split_custom_qwen2(text, offsets);
     } else if (regex_expr == "\\p{Han}+") {
         // K2's first pattern - handle all K2 patterns together
         bpe_offsets = unicode_regex_split_custom_kimi_k2(text, offsets);
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 5e87c8b34..edb585b9f 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -10,7 +10,7 @@ function(llama_build source)
     endif()
 
     add_executable(${TEST_TARGET} ${TEST_SOURCES})
-    target_link_libraries(${TEST_TARGET} PRIVATE common)
+    target_link_libraries(${TEST_TARGET} PRIVATE llama llama-common)
     if (LLAMA_TESTS_INSTALL)
         install(TARGETS ${TEST_TARGET} RUNTIME)
     endif()
@@ -105,7 +105,7 @@ function(llama_build_and_test source)
     if (LLAMA_TESTS_INSTALL)
         install(TARGETS ${TEST_TARGET} RUNTIME)
     endif()
-    target_link_libraries(${TEST_TARGET} PRIVATE common)
+    target_link_libraries(${TEST_TARGET} PRIVATE llama-common)
 
     add_test(
         NAME ${TEST_TARGET}
@@ -124,6 +124,7 @@ llama_test(test-tokenizer-0 NAME test-tokenizer-0-command-r         ARGS ${PROJE
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-coder    ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-coder.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-deepseek-llm      ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-deepseek-llm.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-falcon            ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-falcon.gguf)
+llama_test(test-tokenizer-0 NAME test-tokenizer-0-gemma-4           ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gemma-4.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-gpt-2             ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-gpt-2.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-bpe         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-bpe.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-llama-spm         ARGS ${PROJECT_SOURCE_DIR}/models/ggml-vocab-llama-spm.gguf)
@@ -154,6 +155,8 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
     llama_build_and_test(test-grammar-integration.cpp)
     llama_build_and_test(test-llama-grammar.cpp)
     llama_build_and_test(test-chat.cpp WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
+    target_include_directories(test-chat PRIVATE ${PROJECT_SOURCE_DIR}/tools/server)
+    target_link_libraries(test-chat PRIVATE server-context)
     # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
     if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
         llama_build_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${PROJECT_SOURCE_DIR})
@@ -268,11 +271,11 @@ if (TARGET cpp-httplib)
     get_target_property(_cpp_httplib_defs cpp-httplib INTERFACE_COMPILE_DEFINITIONS)
     if (_cpp_httplib_defs MATCHES "CPPHTTPLIB_OPENSSL_SUPPORT")
         add_library(gguf-model-data STATIC gguf-model-data.cpp)
-        target_link_libraries(gguf-model-data PRIVATE common cpp-httplib)
+        target_link_libraries(gguf-model-data PRIVATE llama-common cpp-httplib)
         target_include_directories(gguf-model-data PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})
 
         add_executable(test-gguf-model-data test-gguf-model-data.cpp)
-        target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data common)
+        target_link_libraries(test-gguf-model-data PRIVATE gguf-model-data llama-common)
         llama_test(test-gguf-model-data LABEL "model")
 
         # test-quant-type-selection requires gguf-model-data for remote model metadata
diff --git a/tests/peg-parser/test-gbnf-generation.cpp b/tests/peg-parser/test-gbnf-generation.cpp
index 1ab9a7ede..fe4bbbdd1 100644
--- a/tests/peg-parser/test-gbnf-generation.cpp
+++ b/tests/peg-parser/test-gbnf-generation.cpp
@@ -258,6 +258,66 @@ void test_gbnf_generation(testing &t) {
         )""", gbnf);
     });
 
+    t.test("silent parser emits nothing in gbnf", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("hello") + p.gbnf(p.literal("world"), "");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "hello"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("silent choice inside sequence emits nothing", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.gbnf(p.literal("b") | p.literal("c"), "") + p.literal("d");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" "d"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("silent wrapped in tag emits nothing", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.tag("t", p.gbnf(p.literal("b"), ""));
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a"
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
+    t.test("gbnf parser emits custom grammar", [](testing &t) {
+        auto parser = build_peg_parser([](common_peg_parser_builder & p) {
+            return p.literal("a") + p.gbnf(p.literal("b"), "[a-z]+");
+        });
+
+        auto gbnf = build_grammar([&](const common_grammar_builder & builder) {
+            parser.build_grammar(builder);
+        });
+
+        assert_gbnf_equal(t, R"""(
+            root ::= "a" [a-z]+
+            space ::= | " " | "\n"{1,2} [ \t]{0,20}
+        )""", gbnf);
+    });
+
     t.test("nested transparent wrappers get parenthesized", [](testing &t) {
         auto parser = build_peg_parser([](common_peg_parser_builder & p) {
             return p.literal("x") + p.tag("outer", p.atomic(p.literal("a") | p.literal("b")));
diff --git a/tests/run-json-schema-to-grammar.mjs b/tests/run-json-schema-to-grammar.mjs
deleted file mode 100644
index 450c3dde0..000000000
--- a/tests/run-json-schema-to-grammar.mjs
+++ /dev/null
@@ -1,10 +0,0 @@
-import { readFileSync } from "fs"
-import { SchemaConverter } from "../tools/server/public_legacy/json-schema-to-grammar.mjs"
-
-const [, , file] = process.argv
-const url = `file://${file}`
-let schema = JSON.parse(readFileSync(file, "utf8"));
-const converter = new SchemaConverter({})
-schema = await converter.resolveRefs(schema, url)
-converter.visit(schema, '')
-console.log(converter.formatGrammar())
diff --git a/tests/test-arg-parser.cpp b/tests/test-arg-parser.cpp
index 67f8ca632..0dd8422e7 100644
--- a/tests/test-arg-parser.cpp
+++ b/tests/test-arg-parser.cpp
@@ -40,8 +40,12 @@ int main(void) {
                     }
                 }
 
+                // exclude spec args from this check
+                // ref: https://github.com/ggml-org/llama.cpp/pull/22397
+                const bool skip = opt.is_spec;
+
                 // ensure shorter argument precedes longer argument
-                if (opt.args.size() > 1) {
+                if (!skip && opt.args.size() > 1) {
                     const std::string first(opt.args.front());
                     const std::string last(opt.args.back());
 
@@ -124,9 +128,9 @@ int main(void) {
     assert(params.n_batch == 9090);
 
     // --draft cannot be used outside llama-speculative
-    argv = {"binary_name", "--draft", "123"};
+    argv = {"binary_name", "--spec-draft-n-max", "123"};
     assert(true == common_params_parse(argv.size(), list_str_to_char(argv).data(), params, LLAMA_EXAMPLE_SPECULATIVE));
-    assert(params.speculative.n_max == 123);
+    assert(params.speculative.draft.n_max == 123);
 
     // multi-value args (CSV)
     argv = {"binary_name", "--lora", "file1.gguf,\"file2,2.gguf\",\"file3\"\"3\"\".gguf\",file4\".gguf"};
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 781c621d9..450c0aeb8 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -2984,7 +2984,7 @@ struct test_bin_bcast : public test_case {
     bool run_whole_graph() override { return nf > 1; }
 
     std::string vars() override {
-        return VARS_TO_STR5(type, ne, nr, nf, perm1);
+        return VARS_TO_STR6(type, ne, nr, nf, perm1, src_overlap);
     }
 
     size_t op_size(ggml_tensor * t) override {
@@ -3129,39 +3129,6 @@ struct test_add_id : public test_case {
     }
 };
 
-// GGML_OP_ADD1
-struct test_add1 : public test_case {
-    const ggml_type type;
-    const std::array<int64_t, 4> ne;
-
-    std::string vars() override {
-        return VARS_TO_STR2(type, ne);
-    }
-
-    test_add1(ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {10, 5, 4, 3})
-        : type(type), ne(ne) {}
-
-    ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
-        ggml_set_param(a);
-        ggml_set_name(a, "a");
-
-        ggml_tensor * b = ggml_new_tensor_1d(ctx, type, 1);
-        // ggml_set_param(b); // TODO: implement
-        ggml_set_name(b, "b");
-
-        ggml_tensor * out = ggml_add1(ctx, a, b);
-        ggml_set_name(out, "out");
-
-        return out;
-    }
-
-    float grad_eps() override {
-        return 0.1f * ne[0]*ne[1]*ne[2]*ne[3];
-    }
-};
-
 // GGML_OP_SCALE
 struct test_scale : public test_case {
     const ggml_type type;
@@ -3555,6 +3522,40 @@ struct test_add_rms_norm : public test_case {
     }
 };
 
+// GGML_OP_UNARY(RELU) + GGML_OP_SQR (fused operation)
+struct test_relu_sqr : public test_case {
+    const ggml_type type;
+    const std::array<int64_t, 4> ne;
+
+    std::string op_desc(ggml_tensor * t) override {
+        GGML_UNUSED(t);
+        return "RELU_SQR";
+    }
+
+    bool run_whole_graph() override { return true; }
+
+    std::string vars() override {
+        return VARS_TO_STR2(type, ne);
+    }
+
+    test_relu_sqr(ggml_type type = GGML_TYPE_F32,
+            std::array<int64_t, 4> ne = {128, 2, 2, 2})
+        : type(type), ne(ne) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
+        ggml_set_name(a, "a");
+
+        ggml_tensor * r = ggml_relu(ctx, a);
+        ggml_set_name(r, "relu");
+
+        ggml_tensor * out = ggml_sqr(ctx, r);
+        ggml_set_name(out, "out");
+
+        return out;
+    }
+};
+
 // GGML_OP_SSM_CONV
 struct test_ssm_conv : public test_case {
     const ggml_type type;
@@ -3578,6 +3579,49 @@ struct test_ssm_conv : public test_case {
     }
 };
 
+// GGML_OP_SSM_CONV + GGML_OP_ADD (channel-wise bias, optional) + GGML_OP_UNARY(SILU) (fused operation)
+struct test_ssm_conv_bias_silu : public test_case {
+    const ggml_type type;
+    const std::array<int64_t, 4> ne_a;
+    const std::array<int64_t, 4> ne_b;
+    const bool fuse_bias;
+
+    std::string op_desc(ggml_tensor * t) override {
+        GGML_UNUSED(t);
+        return "SSM_CONV_BIAS_SILU";
+    }
+
+    bool run_whole_graph() override { return true; }
+
+    std::string vars() override {
+        return VARS_TO_STR4(type, ne_a, ne_b, fuse_bias);
+    }
+
+    test_ssm_conv_bias_silu(ggml_type type, std::array<int64_t, 4> ne_a, std::array<int64_t, 4> ne_b,
+            bool fuse_bias)
+        : type(type), ne_a(ne_a), ne_b(ne_b), fuse_bias(fuse_bias) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne_a.data());
+        ggml_tensor * b = ggml_new_tensor(ctx, type, 4, ne_b.data());
+        ggml_set_name(a, "a");
+        ggml_set_name(b, "b");
+
+        ggml_tensor * out = ggml_ssm_conv(ctx, a, b);
+
+        if (fuse_bias) {
+            ggml_tensor * bias = ggml_new_tensor_1d(ctx, type, out->ne[0]);
+            ggml_set_name(bias, "bias");
+            out = ggml_add(ctx, out, bias);
+        }
+
+        out = ggml_silu(ctx, out);
+
+        ggml_set_name(out, "out");
+        return out;
+    }
+};
+
 // GGML_OP_SSM_SCAN
 struct test_ssm_scan : public test_case {
     const ggml_type type;
@@ -3588,9 +3632,10 @@ struct test_ssm_scan : public test_case {
     const int64_t n_group;
     const int64_t n_seq_tokens;
     const int64_t n_seqs;
+    const bool    xbc_overlap;
 
     std::string vars() override {
-        return VARS_TO_STR7(type, d_state, head_dim, n_head, n_group, n_seq_tokens, n_seqs);
+        return VARS_TO_STR8(type, d_state, head_dim, n_head, n_group, n_seq_tokens, n_seqs, xbc_overlap);
     }
 
     test_ssm_scan(ggml_type type = GGML_TYPE_F32,
@@ -3599,16 +3644,31 @@ struct test_ssm_scan : public test_case {
             int64_t n_head  = 32,
             int64_t n_group = 1,
             int64_t n_seq_tokens = 32,
-            int64_t n_seqs = 32)
-        : type(type), d_state(d_state), head_dim(head_dim), n_head(n_head), n_group(n_group), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs) {}
+            int64_t n_seqs = 32,
+            bool xbc_overlap = false)
+        : type(type), d_state(d_state), head_dim(head_dim), n_head(n_head), n_group(n_group), n_seq_tokens(n_seq_tokens), n_seqs(n_seqs), xbc_overlap(xbc_overlap) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
         ggml_tensor * s   = ggml_new_tensor_4d(ctx, type, d_state,  head_dim,     n_head,       n_seqs);
-        ggml_tensor * x   = ggml_new_tensor_4d(ctx, type, head_dim, n_head,       n_seq_tokens, n_seqs);
         ggml_tensor * dt  = ggml_new_tensor_3d(ctx, type, n_head,   n_seq_tokens, n_seqs);
         ggml_tensor * A   = ggml_new_tensor_2d(ctx, type, (head_dim > 1) ? 1 : d_state, n_head);
-        ggml_tensor * B   = ggml_new_tensor_4d(ctx, type, d_state,  n_group,      n_seq_tokens, n_seqs);
-        ggml_tensor * C   = ggml_new_tensor_4d(ctx, type, d_state,  n_group,      n_seq_tokens, n_seqs);
+        ggml_tensor * x;
+        ggml_tensor * B;
+        ggml_tensor * C;
+
+        if (xbc_overlap) {
+            ggml_tensor * xbc = ggml_new_tensor_4d(ctx, type, d_state, n_head, n_seq_tokens, 2 * n_seqs);
+            x = ggml_view_4d(ctx, xbc, head_dim, n_head, n_seq_tokens, n_seqs,
+                             xbc->nb[1], xbc->nb[2], xbc->nb[3], xbc->nb[3]);
+            B = ggml_view_4d(ctx, xbc, d_state, n_group, n_seq_tokens, n_seqs,
+                             xbc->nb[1], xbc->nb[2], xbc->nb[3], 0);
+            C = ggml_view_4d(ctx, xbc, d_state, n_group, n_seq_tokens, n_seqs,
+                             xbc->nb[1], xbc->nb[2], xbc->nb[3], 2 * xbc->nb[3]);
+        } else {
+            x = ggml_new_tensor_4d(ctx, type, head_dim, n_head, n_seq_tokens, n_seqs);
+            B = ggml_new_tensor_4d(ctx, type, d_state,  n_group, n_seq_tokens, n_seqs);
+            C = ggml_new_tensor_4d(ctx, type, d_state,  n_group, n_seq_tokens, n_seqs);
+        }
         ggml_tensor * ids = ggml_new_tensor_1d(ctx, GGML_TYPE_I32,  n_seqs);
         ggml_tensor * out = ggml_ssm_scan(ctx, s, x, dt, A, B, C, ids);
         return out;
@@ -3798,7 +3858,7 @@ struct test_mul_mat : public test_case {
 
     double max_nmse_err(ggml_backend_t backend) override {
         // for blackwell we quantize activations to mxfp4 instead of q8_1 so we add higher tolerance
-        if (type_a == GGML_TYPE_MXFP4 && backend_has_feature(backend, "BLACKWELL_NATIVE_FP4")) {
+        if ((type_a == GGML_TYPE_MXFP4 || type_a == GGML_TYPE_NVFP4) && backend_has_feature(backend, "BLACKWELL_NATIVE_FP4")) {
             return 2e-2;
         }
         return max_nmse_err();
@@ -3892,6 +3952,59 @@ struct test_mul_mat : public test_case {
     }
 };
 
+// GGML_HINT_SRC0_IS_HADAMARD
+struct test_mul_mat_hadamard : public test_mul_mat {
+    test_mul_mat_hadamard(ggml_type type_a = GGML_TYPE_F32, ggml_type type_b = GGML_TYPE_F32,
+            int64_t m = 32, int64_t n = 32, int64_t k = 32,
+            std::array<int64_t, 2> bs = {1, 1},
+            std::array<int64_t, 2> nr = {1, 1})
+        : test_mul_mat(type_a, type_b, m, n, k, bs, nr) {
+            GGML_ASSERT(type_a == GGML_TYPE_F32);
+        }
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * out = test_mul_mat::build_graph(ctx);
+        // Find the mul_mat op in the graph and set the hint
+        for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
+            if (t->op == GGML_OP_MUL_MAT) {
+                ggml_mul_mat_set_hint(t, GGML_HINT_SRC0_IS_HADAMARD);
+            }
+        }
+        return out;
+    }
+
+    void initialize_tensors(ggml_context * ctx) override {
+        for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
+            if (strcmp(t->name, "a") == 0) {
+                const int64_t n_cols = t->ne[0];
+                const int64_t n_rows = ggml_nrows(t);
+                std::vector<float> data(n_cols * n_rows);
+                float scale = 1.0f / sqrtf((float)n_cols);
+                for (int64_t r = 0; r < n_rows; r++) {
+                    float * row_data = data.data() + r * n_cols;
+                    for (int64_t i = 0; i < n_cols; i++) {
+                        int pop = 0;
+                        int64_t val = r & i;
+                        while (val) {
+                            pop += (val & 1);
+                            val >>= 1;
+                        }
+                        row_data[i] = (pop % 2 == 0) ? scale : -scale;
+                    }
+                }
+                ggml_backend_tensor_set(t, data.data(), 0, data.size() * sizeof(float));
+            } else if (t->type == GGML_TYPE_F32 || t->type == GGML_TYPE_F16) {
+                init_tensor_uniform(t);
+            }
+        }
+    }
+
+    std::string op_desc(ggml_tensor * t) override {
+        GGML_UNUSED(t);
+        return "MUL_MAT_HADAMARD";
+    }
+};
+
 static void init_mul_mat_id_tensors(ggml_context * ctx, int n_mats) {
     std::random_device rd;
     std::default_random_engine rng(rd());
@@ -3934,7 +4047,7 @@ struct test_mul_mat_id : public test_case {
 
     double max_nmse_err(ggml_backend_t backend) override {
         // for blackwell we quantize activations to mxfp4 instead of q8_1 so we add higher tolerance
-        if (type_a == GGML_TYPE_MXFP4 && backend_has_feature(backend, "BLACKWELL_NATIVE_FP4")) {
+        if ((type_a == GGML_TYPE_MXFP4 || type_a == GGML_TYPE_NVFP4) && backend_has_feature(backend, "BLACKWELL_NATIVE_FP4")) {
             return 2e-2;
         }
         return max_nmse_err();
@@ -6184,11 +6297,12 @@ struct test_flash_attn_ext : public test_case {
     const float logit_softcap; // Gemma 2
 
     const ggml_prec prec;
-    const ggml_type type_KV;
+    const ggml_type type_K;
+    const ggml_type type_V;
     std::array<int32_t, 4> permute;
 
     std::string vars() override {
-        return VARS_TO_STR13(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, permute);
+        return VARS_TO_STR14(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_K, type_V, permute);
     }
 
     double max_nmse_err() override {
@@ -6204,12 +6318,13 @@ struct test_flash_attn_ext : public test_case {
 
     test_flash_attn_ext(int64_t hsk = 128, int64_t hsv = 128, int64_t nh = 32, std::array<int64_t, 2> nr23 = {1, 1}, int64_t kv = 96, int64_t nb = 8,
                         bool mask = true, bool sinks = false, float max_bias = 0.0f, float logit_softcap = 0.0f, ggml_prec prec = GGML_PREC_F32,
-                        ggml_type type_KV = GGML_TYPE_F16, std::array<int32_t, 4> permute = {0, 1, 2, 3})
-        : hsk(hsk), hsv(hsv), nh(nh), nr23(nr23), kv(kv), nb(nb), mask(mask), sinks(sinks), max_bias(max_bias), logit_softcap(logit_softcap), prec(prec), type_KV(type_KV), permute(permute) {}
+                        ggml_type type_K = GGML_TYPE_F16, ggml_type type_V = GGML_TYPE_F16, std::array<int32_t, 4> permute = {0, 1, 2, 3})
+        : hsk(hsk), hsv(hsv), nh(nh), nr23(nr23), kv(kv), nb(nb), mask(mask), sinks(sinks), max_bias(max_bias), logit_softcap(logit_softcap), prec(prec),
+          type_K(type_K), type_V(type_V), permute(permute) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        const int64_t hsk_padded = GGML_PAD(hsk, ggml_blck_size(type_KV));
-        const int64_t hsv_padded = GGML_PAD(hsv, ggml_blck_size(type_KV));
+        const int64_t hsk_padded = GGML_PAD(hsk, ggml_blck_size(type_K));
+        const int64_t hsv_padded = GGML_PAD(hsv, ggml_blck_size(type_V));
 
         auto const &create_permuted = [&](ggml_type type, int64_t ne0, int64_t ne1, int64_t ne2, int64_t ne3, bool is_view) -> ggml_tensor * {
             int64_t ne[4] = {ne0, ne1, ne2, ne3};
@@ -6233,11 +6348,11 @@ struct test_flash_attn_ext : public test_case {
         ggml_tensor * q = create_permuted(GGML_TYPE_F32, hsk_padded, nb, nh*nr23[0], nr23[1], false);
         ggml_set_name(q, "q");
 
-        ggml_tensor * k = create_permuted(type_KV,       hsk_padded, kv, nh,         nr23[1], true); // the K tensor is usually a view of the K cache
+        ggml_tensor * k = create_permuted(type_K,        hsk_padded, kv, nh,         nr23[1], true); // the K tensor is usually a view of the K cache
         ggml_set_name(k, "k");
 
         ggml_tensor * v = nullptr;
-        if (hsk_padded == 576 && hsv_padded == 512) {
+        if (type_K == type_V && hsk_padded == 576 && hsv_padded == 512) {
             // TODO: this branch should become a separate test case parameter instead of hardcoding this for these head shapes
 
             // in this branch, the V cache is sub-view of the K cache. this is used by some MLA-based models
@@ -6247,7 +6362,7 @@ struct test_flash_attn_ext : public test_case {
             //   - https://github.com/ggml-org/llama.cpp/pull/18986
             v = ggml_view_4d(ctx, k, hsv_padded, kv, nh, nr23[1], k->nb[1], k->nb[2], k->nb[3], 0);
         } else {
-            v = create_permuted(type_KV,       hsv_padded, kv, nh,         nr23[1], true); // the V tensor is usually a view of the V cache
+            v = create_permuted(type_V,        hsv_padded, kv, nh,         nr23[1], true); // the V tensor is usually a view of the V cache
         }
         ggml_set_name(v, "v");
 
@@ -7284,6 +7399,7 @@ static const ggml_type all_types[] = {
     GGML_TYPE_Q4_0, GGML_TYPE_Q4_1,
     GGML_TYPE_Q5_0, GGML_TYPE_Q5_1,
     GGML_TYPE_Q8_0,
+    GGML_TYPE_Q1_0,
     GGML_TYPE_MXFP4, GGML_TYPE_NVFP4,
     GGML_TYPE_Q2_K, GGML_TYPE_Q3_K,
     GGML_TYPE_Q4_K, GGML_TYPE_Q5_K,
@@ -7297,6 +7413,7 @@ static const ggml_type all_types[] = {
 static const ggml_type base_types[] = {
     GGML_TYPE_F32, GGML_TYPE_F16,
     GGML_TYPE_Q8_0, // for I8MM tests
+    GGML_TYPE_Q1_0,
     GGML_TYPE_Q4_0,
     GGML_TYPE_Q4_1, // for I8MM tests
     GGML_TYPE_Q4_K,
@@ -7308,6 +7425,7 @@ static const ggml_type other_types[] = {
     GGML_TYPE_Q4_1,
     GGML_TYPE_Q5_0, GGML_TYPE_Q5_1,
     GGML_TYPE_Q8_0,
+    GGML_TYPE_Q1_0,
     GGML_TYPE_Q2_K, GGML_TYPE_Q3_K,
     GGML_TYPE_Q5_K,
     GGML_TYPE_Q6_K,
@@ -7341,6 +7459,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
+    // fused relu + sqr (squared ReLU)
+    for (ggml_type type : {GGML_TYPE_F16, GGML_TYPE_F32}) {
+        test_cases.emplace_back(new test_relu_sqr(type, { 128, 2, 2, 2 }));
+        test_cases.emplace_back(new test_relu_sqr(type, { 5, 7, 11, 13 }));
+    }
+
     // glu ops
     for (ggml_type type : {GGML_TYPE_F16, GGML_TYPE_F32}) {
         for (int v : {0, 1}) {
@@ -7886,8 +8010,6 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_bin_bcast(ggml_add, GGML_TYPE_F32, {16, 5, 4, 3}, {2, 2, 2, 2}, 8));
     test_cases.emplace_back(new test_bin_bcast(ggml_add, GGML_TYPE_F32, {16, 5, 4, 3}, {1, 1, 1, 1}, 16));
 
-    test_cases.emplace_back(new test_add1());
-    test_cases.emplace_back(new test_add1(GGML_TYPE_F32, {1024, 1024, 1, 1}));
     test_cases.emplace_back(new test_scale());
     test_cases.emplace_back(new test_scale(GGML_TYPE_F32, {10, 10, 10, 10}, 2.0f, 1.0f));
     test_cases.emplace_back(new test_scale(GGML_TYPE_F32, {10, 10, 10, 10}, 2.0f, 1.0f, true)); // inplace test
@@ -7953,9 +8075,31 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
+    // fused ssm_conv + (optional) bias_add + silu. The bias-only graph (no silu) is intentionally
+    // not tested since there's no fusion for that pattern in ggml_cuda_can_fuse.
+    for (int64_t d_conv : {3, 4, 9}) {
+        for (int64_t d_inner : {1024, 1536, 2048}) {
+            for (bool fuse_bias : {false, true}) {
+                // short token path (n_t <= 32)
+                test_cases.emplace_back(new test_ssm_conv_bias_silu(
+                    GGML_TYPE_F32, {d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias));
+                test_cases.emplace_back(new test_ssm_conv_bias_silu(
+                    GGML_TYPE_F32, {2 * d_conv, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias));
+                test_cases.emplace_back(new test_ssm_conv_bias_silu(
+                    GGML_TYPE_F32, {d_conv, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}, fuse_bias));
+                // long token path (n_t > 32)
+                test_cases.emplace_back(new test_ssm_conv_bias_silu(
+                    GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 1, 1}, {d_conv, d_inner, 1, 1}, fuse_bias));
+                test_cases.emplace_back(new test_ssm_conv_bias_silu(
+                    GGML_TYPE_F32, {d_conv - 1 + 64, d_inner, 4, 1}, {d_conv, d_inner, 1, 1}, fuse_bias));
+            }
+        }
+    }
+
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 16, 1, 1024, 1, 32, 4)); // Mamba-1
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 16, 2, 32, 4)); // Mamba-2
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 256, 64,  8, 2, 32, 4)); // Falcon-H1
+    test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 128, 4, 4, 16, 2, true)); // x/B/C overlap
 
     test_cases.emplace_back(new test_rwkv_wkv6(GGML_TYPE_F32, 32, 64, 1, 1));
     test_cases.emplace_back(new test_rwkv_wkv6(GGML_TYPE_F32, 32, 64, 32, 1));
@@ -7972,6 +8116,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 32, 4));
     test_cases.emplace_back(new test_gla(GGML_TYPE_F32, 32, 64, 128, 4));
 
+    // FWHT tests
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 1, 128));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 64, 1, 64));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 256, 1, 256));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 32, 128));
+
 #if 0
     // > 4GB A matrix. Too slow to be enabled by default.
     test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16,  900000,  3, 2592, {1, 1}, {1, 1}));
@@ -8429,6 +8579,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2048, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2049, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2, 8, 8192, 1}, order)); // bailingmoe2 (group selection)
+        test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2048, 512, 1, 1}, order)); // test CUDA dispatching to radix sort for nrows > = 1 in graph mode
     }
 
     for (int n = 1; n < 5; ++n) {
@@ -8537,6 +8688,9 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     test_cases.emplace_back(new test_cumsum(GGML_TYPE_F32, { 20481, 4, 1, 1 }));
 
     test_cases.emplace_back(new test_xielu());
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F16));
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F32, { 512, 16, 1, 1 }));
+    test_cases.emplace_back(new test_xielu(GGML_TYPE_F16, { 512, 16, 1, 1 }));
 
     test_cases.emplace_back(new test_tri(GGML_TRI_TYPE_LOWER));
     test_cases.emplace_back(new test_tri(GGML_TRI_TYPE_LOWER_DIAG));
@@ -8611,14 +8765,14 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
                                             for (int nb : { 1, 3, 32, 75, }) {
                                                 for (ggml_prec prec : {GGML_PREC_F32, GGML_PREC_DEFAULT}) {
                                                     if (hsk != 128 && prec == GGML_PREC_DEFAULT) continue;
-                                                    for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0}) {
+                                                    for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0, GGML_TYPE_IQ4_NL}) {
                                                         if (type_KV != GGML_TYPE_F16 && hsk != 64 && hsk != 72) continue;
                                                         test_cases.emplace_back(new test_flash_attn_ext(
-                                                                    hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV));
+                                                                    hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV));
                                                         // run fewer test cases permuted
                                                         if (mask == true && max_bias == 0.0f && logit_softcap == 0 && kv == 512) {
                                                             test_cases.emplace_back(new test_flash_attn_ext(
-                                                                        hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, {0, 2, 1, 3}));
+                                                                        hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV, {0, 2, 1, 3}));
                                                         }
                                                     }
                                                 }
@@ -8634,6 +8788,16 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         }
     }
 
+    // mixed quant and Q1_0 test cases
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q4_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_F16));
+    test_cases.emplace_back(new test_flash_attn_ext(72, 72, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q8_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F32));
+    test_cases.emplace_back(new test_flash_attn_ext(128, 128, 4, {1, 1}, 96, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_Q1_0));
+    test_cases.emplace_back(new test_flash_attn_ext(128, 64, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_Q4_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 128, 4, {1, 1}, 128, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q1_0));
+    test_cases.emplace_back(new test_flash_attn_ext(128, 64, 4, {1, 1}, 64, 2, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q1_0, GGML_TYPE_F16));
+
     test_cases.emplace_back(new test_cross_entropy_loss     (GGML_TYPE_F32, {   10, 5, 4, 3}));
     test_cases.emplace_back(new test_cross_entropy_loss     (GGML_TYPE_F32, {30000, 1, 1, 1}));
     test_cases.emplace_back(new test_cross_entropy_loss_back(GGML_TYPE_F32, {   10, 5, 4, 3}));
@@ -8812,6 +8976,12 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() {
     test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 16416, 1, 128, {8,  1}, {4, 1}, {0, 2, 1, 3}));
     test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 128, 1, 16416, {8,  1}, {4, 1}, {0, 1, 2, 3}, 2*16416));
 
+    // FWHT tests
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 1, 128));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 64, 1, 64));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 256, 1, 256));
+    test_cases.emplace_back(new test_mul_mat_hadamard(GGML_TYPE_F32, GGML_TYPE_F32, 128, 32, 128));
+
     test_cases.emplace_back(new test_solve_tri(GGML_TYPE_F32, { 64, 64, 4, 4 }, { 32, 64, 4, 4 }));
     test_cases.emplace_back(new test_solve_tri(GGML_TYPE_F32, { 128, 128, 4, 2 }, { 32, 128, 4, 2 }));
     // qwen3next with CHUNK_SIZE 64
@@ -8878,15 +9048,19 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() {
     }
 
     // Qwen3-VL-8B https://github.com/ggml-org/llama.cpp/issues/17012
-    test_cases.emplace_back(new test_flash_attn_ext(72, 72, 16, {1, 1}, 5776, 5776, false, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16));
+    test_cases.emplace_back(new test_flash_attn_ext(72, 72, 16, {1, 1}, 5776, 5776, false, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16));
 
-    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16));
-    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 4, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 4, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680,   1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 512, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q4_0, GGML_TYPE_Q4_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680,   1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
+    test_cases.emplace_back(new test_flash_attn_ext(64, 64, 8, {8, 1}, 7680, 512, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
 
     for (int kv : { 4096, 8192, 16384, }) {
         for (int hs : { 64, 128, }) {
             for (int nr : { 1, 4, }) {
-                test_cases.emplace_back(new test_flash_attn_ext(hs, hs, 8, {nr, 1}, kv, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16));
+                test_cases.emplace_back(new test_flash_attn_ext(hs, hs, 8, {nr, 1}, kv, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16));
             }
         }
     }
@@ -8964,6 +9138,8 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_perf() {
     // Examples from granite-4.0-h-1b/ggml-model-Q8_0.gguf
     test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {515, 3328, 1, 1}, {4, 3328, 1, 1})); // prefill
     test_cases.emplace_back(new test_ssm_conv(GGML_TYPE_F32, {4,   3328, 1, 1}, {4, 3328, 1, 1})); // generate
+    test_cases.emplace_back(new test_ssm_conv_bias_silu(GGML_TYPE_F32, {515, 3328, 1, 1}, {4, 3328, 1, 1}, true));  // prefill
+    test_cases.emplace_back(new test_ssm_conv_bias_silu(GGML_TYPE_F32, {4,   3328, 1, 1}, {4, 3328, 1, 1}, true));  // generate
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 512, 1)); // prefill
     test_cases.emplace_back(new test_ssm_scan(GGML_TYPE_F32, 128, 64, 48, 1, 1,   1)); // generate
 
diff --git a/tests/test-chat-auto-parser.cpp b/tests/test-chat-auto-parser.cpp
index bb23b7f2a..1d96de718 100644
--- a/tests/test-chat-auto-parser.cpp
+++ b/tests/test-chat-auto-parser.cpp
@@ -1331,7 +1331,7 @@ static void test_nemotron_reasoning_detection(testing & t) {
 
     // Check reasoning markers
     t.assert_equal("reasoning_start should be '<think>\\n'", "<think>\n", analysis.reasoning.start);
-    t.assert_equal("reasoning_end should be '</think>'", "</think>", analysis.reasoning.end);
+    t.assert_equal("reasoning_end should be '\\n</think>\\n'", "\n</think>\n", analysis.reasoning.end);
 
     // Check reasoning mode detection
     // Nemotron uses tag-based reasoning; prefill handles the template's forced markers
diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp
index 72deeeab3..ea9d87ebe 100644
--- a/tests/test-chat.cpp
+++ b/tests/test-chat.cpp
@@ -7,6 +7,7 @@
 //
 #include "../src/llama-grammar.h"
 #include "../src/unicode.h"
+#include "../tools/server/server-chat.h"
 #include "chat-auto-parser.h"
 #include "chat.h"
 #include "common.h"
@@ -541,6 +542,36 @@ static common_chat_tool edit_tool{
     })",
 };
 
+static common_chat_tool manage_todo_list_tool{
+    /* .name = */ "manage_todo_list",
+    /* .description = */ "Create or update the todo list",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "todos": {
+                "type": "array",
+                "description": "List of TODO list items"
+            }
+        },
+        "required": ["todos"]
+    })",
+};
+
+static common_chat_tool run_in_terminal_tool{
+    /* .name = */ "run_in_terminal",
+    /* .description = */ "Run a shell command.",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "command": {
+                "type": "string",
+                "description": "Shell command to run"
+            }
+        },
+        "required": ["command"]
+    })",
+};
+
 static common_chat_tool magic_tool{
     /* .name = */ "magic",
     /* .description = */ "Magic tool that takes a hash",
@@ -998,6 +1029,7 @@ static void test_peg_parser(common_chat_templates *                      tmpls,
     auto parser = make_peg_parser(tmpls, tc.params, detailed_debug);
     if (detailed_debug) {
         LOG_DBG("Using parser: \n%s\n", parser.arena_.dump(parser.arena_.root()).c_str());
+        LOG_DBG("Generation prompt: '%s'\n", parser.params_.generation_prompt.c_str());
     }
 
     common_chat_msg msg_accum;
@@ -1377,6 +1409,16 @@ class peg_test_builder {
         return *this;
     }
 
+    peg_test_builder & tool_choice(common_chat_tool_choice choice) {
+        tc_.params.tool_choice = choice;
+        return *this;
+    }
+
+    peg_test_builder & messages(std::vector<common_chat_msg> messages) {
+        tc_.params.messages = std::move(messages);
+        return *this;
+    }
+
     // Execute the test
     void run() {
         // Check template filter
@@ -1513,6 +1555,117 @@ static void test_tools_oaicompat_json_conversion() {
                   common_chat_tools_to_json_oaicompat({ special_function_tool }).dump(2));
 }
 
+static void test_convert_responses_to_chatcmpl() {
+    LOG_DBG("%s\n", __func__);
+
+    // Test basic conversion with input messages (user/assistant alternating)
+    {
+        json input = json::parse(R"({
+            "input": [
+                {
+                    "type": "message",
+                    "role": "user",
+                    "content": "hi wassup"
+                },
+                {
+                    "type": "message",
+                    "role": "assistant",
+                    "content": "Hey! 👋 Not much, just here ready to chat. What's up with you? Anything I can help you with today?"
+                },
+                {
+                    "type": "message",
+                    "role": "user",
+                    "content": "hi"
+                }
+            ],
+            "model": "gpt-5-mini",
+            "stream": false,
+            "text": {},
+            "reasoning": {
+                "effort": "medium"
+            }
+        })");
+
+        json result = server_chat_convert_responses_to_chatcmpl(input);
+
+        // Verify messages were converted correctly
+        assert_equals(true, result.contains("messages"));
+        assert_equals(true, result.at("messages").is_array());
+        assert_equals((size_t)3, result.at("messages").size());
+
+        // Check first message (user)
+        const auto & msg0 = result.at("messages")[0];
+        assert_equals(std::string("user"), msg0.at("role").get<std::string>());
+        assert_equals(true, msg0.at("content").is_array());
+        assert_equals(std::string("text"), msg0.at("content")[0].at("type").get<std::string>());
+        assert_equals(std::string("hi wassup"), msg0.at("content")[0].at("text").get<std::string>());
+
+        // Check second message (assistant)
+        const auto & msg1 = result.at("messages")[1];
+        assert_equals(std::string("assistant"), msg1.at("role").get<std::string>());
+        assert_equals(true, msg1.at("content").is_array());
+        assert_equals(std::string("text"), msg1.at("content")[0].at("type").get<std::string>());
+        assert_equals(std::string("Hey! 👋 Not much, just here ready to chat. What's up with you? Anything I can help you with today?"), msg1.at("content")[0].at("text").get<std::string>());
+
+        // Check third message (user)
+        const auto & msg2 = result.at("messages")[2];
+        assert_equals(std::string("user"), msg2.at("role").get<std::string>());
+        assert_equals(true, msg2.at("content").is_array());
+        assert_equals(std::string("text"), msg2.at("content")[0].at("type").get<std::string>());
+        assert_equals(std::string("hi"), msg2.at("content")[0].at("text").get<std::string>());
+
+        // Verify other fields preserved
+        assert_equals(std::string("gpt-5-mini"), result.at("model").get<std::string>());
+        assert_equals(false, result.at("stream").get<bool>());
+    }
+
+    // Test string input
+    {
+        json input = json::parse(R"({
+            "input": "Hello, world!",
+            "model": "test-model"
+        })");
+
+        json result = server_chat_convert_responses_to_chatcmpl(input);
+
+        assert_equals((size_t)1, result.at("messages").size());
+        const auto & msg = result.at("messages")[0];
+        assert_equals(std::string("user"), msg.at("role").get<std::string>());
+        assert_equals(std::string("Hello, world!"), msg.at("content").get<std::string>());
+    }
+
+    // Test with instructions (system message)
+    {
+        json input = json::parse(R"({
+            "input": "Hello",
+            "instructions": "You are a helpful assistant.",
+            "model": "test-model"
+        })");
+
+        json result = server_chat_convert_responses_to_chatcmpl(input);
+
+        assert_equals((size_t)2, result.at("messages").size());
+        const auto & sys_msg = result.at("messages")[0];
+        assert_equals(std::string("system"), sys_msg.at("role").get<std::string>());
+        assert_equals(std::string("You are a helpful assistant."), sys_msg.at("content").get<std::string>());
+    }
+
+    // Test with max_output_tokens conversion
+    {
+        json input = json::parse(R"({
+            "input": "Hello",
+            "model": "test-model",
+            "max_output_tokens": 100
+        })");
+
+        json result = server_chat_convert_responses_to_chatcmpl(input);
+
+        assert_equals(true, result.contains("max_tokens"));
+        assert_equals(false, result.contains("max_output_tokens"));
+        assert_equals(100, result.at("max_tokens").get<int>());
+    }
+}
+
 static void test_template_output_peg_parsers(bool detailed_debug) {
     LOG_DBG("%s\n", __func__);
 
@@ -1529,22 +1682,16 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
         // Qwen3.5 (basically same as Nemotron, but keeping separate tests just in case)
         auto tst = peg_tester("models/templates/Qwen3.5-4B.jinja", detailed_debug);
 
-        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+        tst.test("I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .enable_thinking(true)
             .expect(message_assist_thoughts)
             .run();
 
-                tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
+        tst.test("I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?")
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_NONE)
-            .expect_content("<think>\nI'm\nthinking\n</think>\nHello, world!\nWhat's up?")
-            .run();
-
-        tst.test("I'm\nthinking\n</think>\nHello, world!\nWhat's up?")
-            .enable_thinking(true)
-            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
-            .expect(message_assist_thoughts)
+            .expect_content("<think>\nI'm\nthinking\n</think>\n\nHello, world!\nWhat's up?")
             .run();
 
         tst.test(
@@ -1560,7 +1707,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .run();
 
         tst.test(
-               "I'm\nthinking\n</think>\n"
+               "I'm\nthinking\n</think>\n\n"
                "<tool_call>\n"
                "<function=special_function>\n"
                "<parameter=arg1>\n1\n</parameter>\n"
@@ -1618,7 +1765,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         tst.test(
                "I need to output the invoice details in JSON\n"
-               "</think>\n"
+               "</think>\n\n"
                R"({"amount": 123.45, "date": "2025-12-03"})")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .enable_thinking(true)
@@ -1638,7 +1785,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call></think>\n"
+               "</tool_call>\n</think>\n\n"
                "<tool_call>\n"
                "<function=python>\n"
                "<parameter=code>\n"
@@ -1648,23 +1795,23 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call>"
-            )
+               "</tool_call>")
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({
                 python_tool
         })
-            .expect_reasoning("Let's call a tool: <tool_call>\n"
-               "<function=python>\n"
-               "<parameter=code>\n"
-               "def hello():\n"
-               "    print(\"Not the real call!\")\n"
-               "\n"
-               "hello()\n"
-               "</parameter>\n"
-               "</function>\n"
-               "</tool_call>")
+            .expect_reasoning(
+                "Let's call a tool: <tool_call>\n"
+                "<function=python>\n"
+                "<parameter=code>\n"
+                "def hello():\n"
+                "    print(\"Not the real call!\")\n"
+                "\n"
+                "hello()\n"
+                "</parameter>\n"
+                "</function>\n"
+                "</tool_call>")
             .expect_tool_calls({
                 { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
             })
@@ -1693,6 +1840,219 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .tools({ empty_args_tool_no_properties })
             .expect(message_with_tool_calls("empty_args_no_props", "{}"))
             .run();
+
+        // Edge cases when reasoning traces are not sent
+        tst.test(
+               "<think>\n\n</think>\n\n"
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                special_function_tool
+        })
+            .expect_reasoning("<think>\n\n")
+            .expect_tool_calls({ { "special_function", "{\"arg1\": 1}", "" } })
+            .run();
+
+        tst.test(
+               "</think>\n\n"
+               "<tool_call>\n"
+               "<function=special_function>\n"
+               "<parameter=arg1>\n1\n</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({
+                special_function_tool
+        })
+            .expect_reasoning("")
+            .expect_tool_calls({ { "special_function", "{\"arg1\": 1}", "" } })
+            .run();
+
+        tst.test(
+               "</think>\n\n"
+               "<tool_call>\n"
+               "<function=run_in_terminal>\n"
+               "<parameter=command>\n"
+               "pwd\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({
+                run_in_terminal_tool
+        })
+            .expect_tool_calls({
+                { "run_in_terminal", R"({"command": "pwd"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "</think>\n\n"
+               "Let me inspect the current directory.\n"
+               "<tool_call>\n"
+               "<function=run_in_terminal>\n"
+               "<parameter=command>\n"
+               "pwd\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({
+                run_in_terminal_tool
+        })
+            .expect_content("Let me inspect the current directory.\n")
+            .expect_tool_calls({
+                { "run_in_terminal", R"({"command": "pwd"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "</think>\n\n"
+               "Let me inspect the current directory.\n"
+               "<tool_call>\n"
+               "<function=run_in_terminal>\n"
+               "<parameter=command>\n"
+               "pwd\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({
+                run_in_terminal_tool
+        })
+            .tool_choice(COMMON_CHAT_TOOL_CHOICE_REQUIRED)
+            .expect_content("Let me inspect the current directory.\n")
+            .expect_tool_calls({
+                { "run_in_terminal", R"({"command": "pwd"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "I should inspect the directory.\n"
+               "</think>\n\n"
+               "Let me inspect it now.\n"
+               "<tool_call>\n"
+               "<function=run_in_terminal>\n"
+               "<parameter=command>\n"
+               "pwd\n"
+               "</parameter>\n"
+               "</function>\n"
+               "</tool_call>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({
+                run_in_terminal_tool
+        })
+            .expect_reasoning("I should inspect the directory.")
+            .expect_content("Let me inspect it now.\n")
+            .expect_tool_calls({
+                { "run_in_terminal", R"({"command": "pwd"})", {} },
+            })
+            .run();
+
+        tst.test(
+               "I might call <tool_call> later, but I am still thinking.\n"
+               "</think>\n\n"
+               "Final answer without tools.")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .enable_thinking(true)
+            .tools({ run_in_terminal_tool })
+            .expect_reasoning("I might call <tool_call> later, but I am still thinking.")
+            .expect_content("Final answer without tools.")
+            .run();
+
+        {
+            common_chat_msg user_start;
+            user_start.role    = "user";
+            user_start.content = "Create a todo list, then inspect the repository.";
+
+            common_chat_msg assistant_todos =
+                simple_assist_msg("", "", "manage_todo_list",
+                                  R"({"todos":[{"item":"Inspect repository","selected":false}]})", "call_todos");
+
+            common_chat_msg tool_result;
+            tool_result.role         = "tool";
+            tool_result.content      = "Successfully wrote todo list";
+            tool_result.tool_call_id = "call_todos";
+
+            common_chat_msg user_continue;
+            user_continue.role    = "user";
+            user_continue.content = "Proceed.";
+
+            tst.test(
+                   "I need to run a terminal command.\n"
+                   "</think>\n\n"
+                   "<tool_call>\n"
+                   "<function=run_in_terminal>\n"
+                   "<parameter=command>\n"
+                   "pwd\n"
+                   "</parameter>\n"
+                   "</function>\n"
+                   "</tool_call>")
+                .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+                .enable_thinking(true)
+                .tools({
+                    manage_todo_list_tool, run_in_terminal_tool
+            })
+                .messages({ user_start, assistant_todos, tool_result, user_continue })
+                .expect_reasoning("I need to run a terminal command.")
+                .expect_tool_calls({
+                    { "run_in_terminal", R"({"command": "pwd"})", {} },
+                })
+                .run();
+
+            tst.test(
+                   "I need to run a terminal command.\n"
+                   "</think>\n\n"
+                   "Let me inspect the current directory.\n"
+                   "<tool_call>\n"
+                   "<function=run_in_terminal>\n"
+                   "<parameter=command>\n"
+                   "pwd\n"
+                   "</parameter>\n"
+                   "</function>\n"
+                   "</tool_call>")
+                .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+                .enable_thinking(true)
+                .tools({
+                    manage_todo_list_tool, run_in_terminal_tool
+            })
+                .tool_choice(COMMON_CHAT_TOOL_CHOICE_REQUIRED)
+                .messages({ user_start, assistant_todos, tool_result, user_continue })
+                .expect_reasoning("I need to run a terminal command.")
+                .expect_content("Let me inspect the current directory.\n")
+                .expect_tool_calls({
+                    { "run_in_terminal", R"({"command": "pwd"})", {} },
+                })
+                .run();
+
+            tst.test(
+                   "</think>\n\n"
+                   "<tool_call>\n"
+                   "<function=run_in_terminal>\n"
+                   "<parameter=command>\n"
+                   "pwd\n"
+                   "</parameter>\n"
+                   "</function>\n"
+                   "</tool_call>")
+                .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+                .enable_thinking(true)
+                .tools({
+                    manage_todo_list_tool, run_in_terminal_tool
+            })
+                .messages({ user_start, assistant_todos, tool_result, user_continue })
+                .expect_tool_calls({
+                    { "run_in_terminal", R"({"command": "pwd"})", {} },
+                })
+                .run();
+        }
     }
 
     {
@@ -1795,7 +2155,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "<function=special_function>\n"
                "<parameter=arg1>\n1\n</parameter>\n"
                "</function>\n"
-               "</tool_call>")
+               "</tool_call>\n")
             .enable_thinking(false)
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
@@ -1808,7 +2168,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "<function=special_function>\n"
                "<parameter=arg1>\n1\n</parameter>\n"
                "</function>\n"
-               "</tool_call>")
+               "</tool_call>\n")
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({ special_function_tool })
             .expect(message_assist_call_thoughts)
@@ -1825,7 +2185,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "<parameter=arg1>\n1\n</parameter>\n"
                "<parameter=arg2>\n2\n</parameter>\n"
                "</function>\n"
-               "</tool_call>")
+               "</tool_call>\n")
             .enable_thinking(false)
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .parallel_tool_calls(true)
@@ -1848,7 +2208,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call>")
+               "</tool_call>\n")
             .enable_thinking(false)
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
             .tools({
@@ -1881,7 +2241,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call></think>\n"
+               "</tool_call>\n</think>\n"
                "<tool_call>\n"
                "<function=python>\n"
                "<parameter=code>\n"
@@ -1891,7 +2251,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call>"
+               "</tool_call>\n"
             )
             .enable_thinking(true)
             .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
@@ -1907,7 +2267,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                "hello()\n"
                "</parameter>\n"
                "</function>\n"
-               "</tool_call>")
+               "</tool_call>\n")
             .expect_tool_calls({
                 { "python", "{\"code\": \"def hello():\\n    print(\\\"Hello, world!\\\")\\n\\nhello()\"}", {} },
             })
@@ -1987,6 +2347,13 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect(message_assist_thoughts)
             .run();
 
+        // Empty reasoning (budget=0: sampler forces end tag before newline)
+        tst.test(
+                "<|channel>thought<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(simple_assist_msg("Hello, world!\nWhat's up?", ""))
+            .run();
+
         // Reasoning and content with reasoning_format = none
         tst.test(
                 "<|channel>thought\nI'm\nthinking<channel|>Hello, world!\nWhat's up?")
@@ -2110,6 +2477,71 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .tools({ amount_tool })
             .expect(message_with_tool_calls("amount", R"({"orig": 1.5e10})"))
             .run();
+
+        // Edge cases
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<|channel>thought\n<channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel>thought\n<channel|>Hello, world!\nWhat's up?<|channel>thought\n<channel|><channel|>")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        tst.test(
+                "<|channel><|channel>thought\n<channel|>Hello, world!\nWhat's up?")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect(message_assist)
+            .run();
+
+        {
+            // additional tests for https://github.com/ggml-org/llama.cpp/pull/21760
+            auto tmpls = read_templates("models/templates/google-gemma-4-31B-it.jinja");
+
+            common_chat_msg tool_call_msg = simple_assist_msg(
+                "Let me check.", "", "special_function", "{\"arg1\": 1}","c0");
+
+            common_chat_msg tool_msg;
+            tool_msg.role         = "tool";
+            tool_msg.tool_name    = "special_function";
+            tool_msg.tool_call_id = "c0";
+            tool_msg.content      = "{\"r\":\"ok\"}";
+
+            {
+                common_chat_templates_inputs inputs;
+                inputs.messages              = { message_user, tool_call_msg, tool_msg };
+                inputs.tools                 = { special_function_tool };
+                inputs.add_generation_prompt = true;
+
+                auto params = common_chat_templates_apply(tmpls.get(), inputs);
+
+                if (!string_ends_with(params.prompt, "<turn|>\n<|turn>model\n")) {
+                    throw std::runtime_error("Missing generation prompt for Gemma 4");
+                }
+            }
+
+            {
+                common_chat_templates_inputs inputs;
+                inputs.messages              = { message_user, tool_call_msg, tool_msg };
+                inputs.tools                 = { special_function_tool };
+                inputs.add_generation_prompt = false;
+
+                auto params = common_chat_templates_apply(tmpls.get(), inputs);
+
+                if (string_ends_with(params.prompt, "<|turn>model\n")) {
+                    throw std::runtime_error("Gemma 4: generation prompt was modified despite add_generation_prompt=false");
+                }
+            }
+        }
     }
 
     {
@@ -2131,7 +2563,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         tst.test(
                "<tool_call>\n"
-               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
                "</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
@@ -2139,7 +2571,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
         tst.test(
                "Hello, world!\nWhat's up?<tool_call>\n"
-               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+               "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}"
                "</tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call_content)
@@ -2568,6 +3000,215 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             expect(simple_assist_msg("CONTENT", "")).run();
     }
 
+    // DeepSeek V3.2 tests - format uses DSML markup:
+    //   <｜DSML｜function_calls>
+    //   <｜DSML｜invoke name="foo">
+    //   <｜DSML｜parameter name="bar" string="true|false">value</｜DSML｜parameter>
+    //   </｜DSML｜invoke>
+    //   </｜DSML｜function_calls>
+    // Reasoning uses <think>...</think>. The generation prompt ends in <think> (thinking mode)
+    // or <think></think> (non-thinking mode).
+    {
+        auto tst = peg_tester("models/templates/deepseek-ai-DeepSeek-V3.2.jinja", detailed_debug);
+
+        // Pure content (non-thinking mode)
+        tst.test("Hello, world!\nWhat's up?")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist)
+            .run();
+
+        // Thinking + content
+        tst.test("I'm\nthinking</think>Hello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+
+        // Thinking + tool call (single, string param)
+        tst.test(
+               "Let me check the time</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Tokyo</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls_and_reasoning("get_time", R"({"city": "Tokyo"})", "Let me check the time"))
+            .run();
+
+        // Tool call without reasoning (non-thinking mode), integer param (string="false")
+        tst.test(
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"special_function\">\n"
+               "<｜DSML｜parameter name=\"arg1\" string=\"false\">1</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(false)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Multiple parallel tool calls with reasoning
+        tst.test(
+               "Calling both</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Paris</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "<｜DSML｜invoke name=\"get_weather\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">Paris</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .parallel_tool_calls(true)
+            .tools({ get_time_tool, get_weather_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "Calling both", "",
+                { { "get_time", R"({"city": "Paris"})" }, { "get_weather", R"({"city": "Paris"})" } }))
+            .run();
+
+        // Tool call with content before tool calls
+        tst.test(
+               "Thinking about it</think>"
+               "Let me call the function.\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"special_function\">\n"
+               "<｜DSML｜parameter name=\"arg1\" string=\"false\">1</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect_reasoning("Thinking about it")
+            .expect_content("Let me call the function.")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .run();
+
+        // Tool call with negative number
+        tst.test(
+               "Test negative</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"magic_int\">\n"
+               "<｜DSML｜parameter name=\"ref\" string=\"false\">-14</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_int_tool })
+            .expect_reasoning("Test negative")
+            .expect_tool_calls({
+                { "magic_int", R"({"ref": -14})", {} },
+            })
+            .run();
+
+        // Tool call with decimal number
+        tst.test(
+               "Test decimal</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"amount\">\n"
+               "<｜DSML｜parameter name=\"orig\" string=\"false\">3.14</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ amount_tool })
+            .expect_reasoning("Test decimal")
+            .expect_tool_calls({
+                { "amount", R"({"orig": 3.14})", {} },
+            })
+            .run();
+
+        // Tool call with boolean
+        tst.test(
+               "Test boolean</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"toggle\">\n"
+               "<｜DSML｜parameter name=\"enabled\" string=\"false\">true</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ toggle_tool })
+            .expect_reasoning("Test boolean")
+            .expect_tool_calls({
+                { "toggle", R"({"enabled": true})", {} },
+            })
+            .run();
+
+        // Tool call with array parameter (JSON-formatted)
+        tst.test(
+               "Test array</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"todo_list\">\n"
+               "<｜DSML｜parameter name=\"todos\" string=\"false\">[\"buy milk\",\"walk dog\"]</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ todo_list })
+            .expect_reasoning("Test array")
+            .expect_tool_calls({
+                { "todo_list", R"({"todos": ["buy milk", "walk dog"]})", {} },
+            })
+            .run();
+
+        // Tool call with object parameter (JSON-formatted)
+        tst.test(
+               "Test object</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"set_config\">\n"
+               "<｜DSML｜parameter name=\"config\" string=\"false\">{\"theme\":\"dark\",\"level\":2}</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ config_tool })
+            .expect_reasoning("Test object")
+            .expect_tool_calls({
+                { "set_config", R"({"config": {"theme": "dark", "level": 2}})", {} },
+            })
+            .run();
+
+        // Edge case: empty reasoning
+        tst.test(
+               "</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"get_time\">\n"
+               "<｜DSML｜parameter name=\"city\" string=\"true\">XYZCITY</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", R"({"city": "XYZCITY"})"))
+            .run();
+
+        // Edge case: tool call with multiple params (mixed types, string first)
+        tst.test(
+               "Multi-arg call</think>\n\n"
+               "<｜DSML｜function_calls>\n"
+               "<｜DSML｜invoke name=\"magic_int\">\n"
+               "<｜DSML｜parameter name=\"ref\" string=\"false\">42</｜DSML｜parameter>\n"
+               "<｜DSML｜parameter name=\"name\" string=\"true\">foo bar</｜DSML｜parameter>\n"
+               "</｜DSML｜invoke>\n"
+               "</｜DSML｜function_calls>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ magic_int_tool })
+            .expect_reasoning("Multi-arg call")
+            .expect_tool_calls({
+                { "magic_int", R"({"ref": 42, "name": "foo bar"})", {} },
+            })
+            .run();
+    }
+
     // GLM-4.6 tests - format: <tool_call>function_name\n<arg_key>...</arg_key>\n<arg_value>...</arg_value>\n</tool_call>
     {
         auto tst = peg_tester("models/templates/GLM-4.6.jinja", detailed_debug);
@@ -3087,6 +3728,92 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .run();
     }
 
+    // Reka-Edge tests - uses native JSON format with per-call wrapper
+    {
+        auto tst = peg_tester("models/templates/Reka-Edge.jinja", detailed_debug);
+
+        // Basic content only
+        tst.test("Hello, world!\nWhat's up?").enable_thinking(false).expect(message_assist).run();
+
+        // Single tool call without reasoning
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+
+        // Tool call with string argument
+        tst.test("<tool_call>\n{\"name\": \"get_time\", \"arguments\": {\"city\": \"XYZCITY\"}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ get_time_tool })
+            .expect(message_with_tool_calls("get_time", "{\"city\":\"XYZCITY\"}"))
+            .run();
+
+        // Tool call with reasoning (enable_thinking=true)
+        tst.test("I'm\nthinking\n</think>\n\n<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+
+        // Multiple tool calls (parallel)
+        tst.test(
+            "<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>"
+            "<tool_call>\n{\"name\": \"special_function_with_opt\", \"arguments\": {\"arg1\": 1, \"arg2\": 2}}</tool_call>"
+        )
+            .enable_thinking(false)
+            .parallel_tool_calls(true)
+            .tools({
+                special_function_tool, special_function_tool_with_optional_param
+            })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+
+        // Tool call with reasoning and content
+        tst.test("I need to call a function\n</think>\n\n"
+                 "Let me check the time.<tool_call>\n{\"name\": \"get_time\", \"arguments\": {\"city\": \"XYZCITY\"}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ get_time_tool })
+            .expect(message_with_reasoning_content_and_multiple_tool_calls(
+                "I need to call a function", "Let me check the time.", { { "get_time", "{\"city\":\"XYZCITY\"}" } }
+            ))
+            .run();
+
+        // Partial tool call (streaming)
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\":")
+            .tools({ special_function_tool })
+            .enable_thinking(false)
+            .is_partial(true)
+            .expect(simple_assist_msg("", "", "special_function", "{\"arg1\": "))
+            .run();
+
+        // Tool call with empty arguments
+        tst.test("<tool_call>\n{\"name\": \"empty_args\", \"arguments\": {}}</tool_call>")
+            .enable_thinking(false)
+            .tools({ empty_args_tool })
+            .expect(simple_assist_msg("", "", "empty_args", "{}"))
+            .run();
+
+        // fake tool call marker in reasoning
+        tst.test(
+               "Let me think about <tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 2}}</tool_call> hmm\n</think>\n\n"
+               "<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .tools({ special_function_tool })
+            .expect_reasoning("Let me think about <tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 2}}</tool_call> hmm")
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+            })
+            .run();
+    }
+
+
     // Apertus-8B-Instruct tests - FUNC_NAME_AS_KEY format
     // Format: <|tools_prefix|>[{"function_name": {...arguments...}}]<|tools_suffix|>
     {
@@ -3102,8 +3829,19 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     // Format: <minimax:tool_call><invoke name="func"><parameter name="key">value</parameter></invoke></minimax:tool_call>
     {
         auto tst = peg_tester("models/templates/MiniMax-M2.jinja", detailed_debug);
+        tst.test("\n</think>\n\nHello, world!\nWhat's up?").enable_thinking(true).reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(message_assist).run();
+
+        tst.test("I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?").enable_thinking(true).reasoning_format(COMMON_REASONING_FORMAT_AUTO).expect(message_assist_thoughts).run();
+
+        tst.test("Let's call a tool:\n</think>\n\n<minimax:tool_call>\n<invoke name=\"empty_args\">\n</invoke>\n</minimax:tool_call>").
+            enable_thinking(true).
+            reasoning_format(COMMON_REASONING_FORMAT_AUTO).
+            tools({ empty_args_tool }).
+            expect(message_with_reasoning_and_tool_call("Let's call a tool:", "empty_args", "{}")).
+            run();
+
         tst.test(
-               "<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter "
+               "\n</think>\n\n<minimax:tool_call>\n<invoke name=\"special_function\">\n<parameter "
                "name=\"arg1\">1</parameter>\n</invoke>\n</minimax:tool_call>")
             .tools({ special_function_tool })
             .expect(message_assist_call)
@@ -3256,6 +3994,51 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .run();
     }
 
+    // Reka Edge
+    {
+        auto tst = peg_tester("models/templates/Reka-Edge.jinja", detailed_debug);
+        tst.test("Hello, world!\nWhat's up?")
+            .enable_thinking(false)
+            .expect(message_assist)
+            .run();
+        tst.test("I'm\nthinking\n</think>\n\nHello, world!\nWhat's up?")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .expect(message_assist_thoughts)
+            .run();
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .expect(message_assist_call)
+            .run();
+        tst.test("Hello, world!\nWhat's up?\n<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_content)
+            .run();
+        tst.test("I'm\nthinking\n</think>\n\n<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>")
+            .enable_thinking(true)
+            .reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
+            .tools({ special_function_tool })
+            .expect(message_assist_call_thoughts)
+            .run();
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n</tool_call>\n<tool_call>\n{\"name\": \"special_function_with_opt\", \"arguments\": {\"arg1\": 1, \"arg2\": 2}}\n</tool_call>")
+            .enable_thinking(false)
+            .parallel_tool_calls(true)
+            .tools({ special_function_tool, special_function_tool_with_optional_param })
+            .expect_tool_calls({
+                { "special_function", R"({"arg1": 1})", {} },
+                { "special_function_with_opt", R"({"arg1": 1, "arg2": 2})", {} },
+            })
+            .run();
+        tst.test("<tool_call>\n{\"name\": \"special_function\", \"arguments\": {\"arg")
+            .enable_thinking(false)
+            .tools({ special_function_tool })
+            .is_partial(true)
+            .expect(message_assist_call_cutoff_args)
+            .run();
+    }
+
     // Apriel 1.5
     {
         auto tst = peg_tester("models/templates/unsloth-Apriel-1.5.jinja", detailed_debug);
@@ -3442,7 +4225,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
                             },
                             "replaceAll": {
                                 "type": "boolean",
-                                "description": "Whether to replace all occurences."
+                                "description": "Whether to replace all occurrences."
                             }
                         },
                         "required": ["oldString", "newString"]
@@ -3510,7 +4293,8 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
 
     {
         auto tst = peg_tester("models/templates/StepFun3.5-Flash.jinja", detailed_debug);
-        tst.test("I was thinking</think>\nNow I'm not.").
+
+        tst.test("I was thinking\n</think>\nNow I'm not.").
             enable_thinking(true).
             reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK).
             expect_reasoning("I was thinking").
@@ -3738,6 +4522,55 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
     }
 }
 
+static void test_reka_edge_common_path() {
+    auto tmpls = read_templates("models/templates/Reka-Edge.jinja");
+
+    {
+        common_chat_templates_inputs inputs;
+        common_chat_msg system_msg;
+        system_msg.role = "system";
+        system_msg.content = "Use tools when needed.";
+
+        common_chat_msg tool_call_msg = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}");
+
+        common_chat_msg tool_msg;
+        tool_msg.role = "tool";
+        tool_msg.tool_name = "special_function";
+        tool_msg.tool_call_id = "call0";
+        tool_msg.content = "Sunny";
+
+        inputs.messages = { system_msg, message_user, tool_call_msg, tool_msg, message_user };
+        inputs.tools = { special_function_tool };
+        inputs.enable_thinking = true;
+        inputs.add_generation_prompt = true;
+
+        auto params = common_chat_templates_apply(tmpls.get(), inputs);
+
+        if (params.prompt.find("<tool_response>\nSunny\n</tool_response><sep>") == std::string::npos) {
+            throw std::runtime_error("Reka Edge prompt did not render tool response history");
+        }
+        if (params.prompt.rfind("assistant: <think>\n") == std::string::npos) {
+            throw std::runtime_error("Reka Edge prompt did not render thinking generation prompt");
+        }
+    }
+
+    {
+        common_chat_templates_inputs inputs;
+        inputs.messages = {
+            message_user,
+            simple_assist_msg("The first point is")
+        };
+        inputs.add_generation_prompt = false;
+        inputs.enable_thinking = false;
+        inputs.chat_template_kwargs["continue_final_message"] = "true";
+
+        auto params = common_chat_templates_apply(tmpls.get(), inputs);
+        if (string_ends_with(params.prompt, "<sep>")) {
+            throw std::runtime_error("Reka Edge continue_final_message unexpectedly closed the assistant turn");
+        }
+    }
+}
+
 // Test the developer role to system workaround with a simple mock template
 static void test_developer_role_to_system_workaround() {
     LOG_DBG("%s\n", __func__);
@@ -3858,7 +4691,7 @@ int main(int argc, char ** argv) {
     bool detailed_debug    = false;
     bool only_run_filtered = false;
 
-    // Check for --template flag
+    // Check for --template and --detailed flags
     for (int i = 1; i < argc; i++) {
         std::string arg = argv[i];
         if (arg == "--template" && i + 1 < argc) {
@@ -3883,7 +4716,20 @@ int main(int argc, char ** argv) {
     }
 
 #ifndef _WIN32
-    if (argc > 1) {
+    // Check if any argument is a .jinja file (for template format detection mode)
+    bool has_jinja_files = false;
+    for (int i = 1; i < argc; i++) {
+        std::string arg = argv[i];
+        if (arg == "--detailed") {
+            continue;
+        }
+        if (arg.size() >= 6 && arg.rfind(".jinja") == arg.size() - 6) {
+            has_jinja_files = true;
+            break;
+        }
+    }
+
+    if (has_jinja_files) {
         common_chat_templates_inputs inputs;
         common_chat_msg              msg;
         msg.role        = "user";
@@ -3916,7 +4762,9 @@ int main(int argc, char ** argv) {
         test_msg_diffs_compute();
         test_msgs_oaicompat_json_conversion();
         test_tools_oaicompat_json_conversion();
+        test_convert_responses_to_chatcmpl();
         test_developer_role_to_system_workaround();
+        test_reka_edge_common_path();
         test_template_output_peg_parsers(detailed_debug);
         std::cout << "\n[chat] All tests passed!" << '\n';
     }
diff --git a/tests/test-jinja.cpp b/tests/test-jinja.cpp
index ce3008f4c..b5ee53461 100644
--- a/tests/test-jinja.cpp
+++ b/tests/test-jinja.cpp
@@ -447,6 +447,18 @@ static void test_expressions(testing & t) {
         "hello world"
     );
 
+    test_template(t, "string repetition",
+        "{{ 'ab' * 3 }}",
+        json::object(),
+        "ababab"
+    );
+
+    test_template(t, "reversed string repetition",
+        "{{ 3 * 'ab' }}",
+        json::object(),
+        "ababab"
+    );
+
     test_template(t, "ternary",
         "{{ 'yes' if cond else 'no' }}",
         {{"cond", true}},
@@ -693,6 +705,33 @@ static void test_filters(testing & t) {
         "\"\\u2713\""
     );
 
+    test_template(t, "tojson ensure_ascii=true nested object",
+        "{{ data|tojson(ensure_ascii=true) }}",
+        {{"data", {
+            {"text", "\u2713"},
+            {"items", json::array({"é", {{"snowman", "☃"}}})}
+        }}},
+        "{\"text\": \"\\u2713\", \"items\": [\"\\u00e9\", {\"snowman\": \"\\u2603\"}]}"
+    );
+
+    test_template(t, "tojson ensure_ascii=true indent=2",
+        "{{ data|tojson(ensure_ascii=true, indent=2) }}",
+        {{"data", {
+            {"text", "\u2713"},
+            {"nested", {{"accent", "é"}}}
+        }}},
+        "{\n  \"text\": \"\\u2713\",\n  \"nested\": {\n    \"accent\": \"\\u00e9\"\n  }\n}"
+    );
+
+    test_template(t, "tojson ensure_ascii=true preserves existing escapes",
+        "{{ data|tojson(ensure_ascii=true) }}",
+        {{"data", {
+            {"emoji", "😀"},
+            {"line", "a\nb"}
+        }}},
+        "{\"emoji\": \"\\ud83d\\ude00\", \"line\": \"a\\nb\"}"
+    );
+
     test_template(t, "tojson sort_keys=true",
         "{{ data|tojson(sort_keys=true) }}",
         {{"data", {{"b", 2}, {"a", 1}}}},
@@ -771,6 +810,12 @@ static void test_filters(testing & t) {
         "hello"
     );
 
+    test_template(t, "int filter on integer is identity",
+        "{{ value|int }}",
+        {{"value", 7}},
+        "7"
+    );
+
     test_template(t, "none to string",
         "{{ x|string }}",
         {{"x", nullptr}},
@@ -2458,4 +2503,12 @@ static void test_fuzzing(testing & t) {
             t.assert_true("builtin " + type_name + "." + fn_name + " #" + std::to_string(i), fuzz_test_template(tmpl, vars));
         }
     });
+
+    t.test("tojson ensure_ascii=true with invalid utf-8", [&](testing & t) {
+        t.assert_true("invalid utf-8 does not crash",
+            fuzz_test_template(
+                "{{ data|tojson(ensure_ascii=true) }}",
+                {{"data", std::string("hello\xfe\xffworld")}}
+            ));
+    });
 }
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index 85584ef12..b4362852c 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -1579,17 +1579,6 @@ int main() {
         } else {
             fprintf(stderr, "\033[33mWARNING: Python not found (min version required is 3.8), skipping Python JSON schema -> grammar tests.\n\033[0m");
         }
-
-        if (getenv("LLAMA_NODE_AVAILABLE") || (std::system("node --version") == 0)) {
-            test_all("JavaScript", [](const TestCase & tc) {
-                write("test-json-schema-input.tmp", tc.schema);
-                tc.verify_status(std::system(
-                    "node ./tests/run-json-schema-to-grammar.mjs test-json-schema-input.tmp > test-grammar-output.tmp") == 0 ? SUCCESS : FAILURE);
-                tc.verify(read("test-grammar-output.tmp"));
-            });
-        } else {
-            fprintf(stderr, "\033[33mWARNING: Node not found, skipping JavaScript JSON schema -> grammar tests.\n\033[0m");
-        }
     }
 
     test_all("Check Expectations Validity", [](const TestCase & tc) {
diff --git a/tests/test-llama-archs.cpp b/tests/test-llama-archs.cpp
index d0ef67580..16af11a28 100644
--- a/tests/test-llama-archs.cpp
+++ b/tests/test-llama-archs.cpp
@@ -6,6 +6,8 @@
 #include "ggml-cpp.h"
 #include "llama.h"
 #include "llama-cpp.h"
+
+// TODO: replace with #include "llama-ext.h" in the future
 #include "../src/llama-arch.h"
 #include "../src/llama-model-saver.h"
 
@@ -86,6 +88,11 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     uint32_t n_layer = 2;
     if (arch == LLM_ARCH_LLAMA4) {
         n_layer = 4; // hparams.n_no_rope_layer_step is hard-coded to 4
+    } else if (arch == LLM_ARCH_GEMMA4) {
+        n_embd = 128;
+        n_head = 2;
+        n_ff   = 192;
+        n_layer = 5; // need at least 5 for swa_pattern (every 5th is full_attention)
     } else if (arch == LLM_ARCH_GEMMA3N) {
         n_embd = 64;
         n_head = 1;
@@ -167,7 +174,15 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     ms.add_kv(LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, uint32_t(8));
     ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW,         n_ctx/8);
 
-    if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) {
+    if (arch == LLM_ARCH_GEMMA4) {
+        ms.add_kv(LLM_KV_EMBEDDING_LENGTH_PER_LAYER,      n_embd/2);
+        ms.add_kv(LLM_KV_ATTENTION_SHARED_KV_LAYERS,      uint32_t(0));
+        ms.add_kv(LLM_KV_ATTENTION_KEY_LENGTH_SWA,        n_embd_head);
+        ms.add_kv(LLM_KV_ATTENTION_VALUE_LENGTH_SWA,      n_embd_head);
+        ms.add_kv(LLM_KV_ROPE_FREQ_BASE_SWA,              10000.0f);
+        // SWA pattern: every 5th layer is full attention (matches E2B layer_types)
+        ms.add_kv(LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, uint32_t(5));
+    } else if (arch == LLM_ARCH_MIMO2 || arch == LLM_ARCH_STEP35) {
         std::vector<uint32_t> pattern;
         pattern.reserve(n_layer);
         for (uint32_t il = 0; il < n_layer; il++) {
@@ -205,9 +220,9 @@ static gguf_context_ptr get_gguf_ctx(const llm_arch arch, const bool moe) {
     ms.add_kv(LLM_KV_XIELU_ALPHA_P,             1.0f);
     ms.add_kv(LLM_KV_XIELU_BETA,                1.0f);
     ms.add_kv(LLM_KV_XIELU_EPS,                 1.0e-7f);
-    ms.add_kv(LLM_KV_SSM_INNER_SIZE,            arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 64 : 2*n_embd);
+    ms.add_kv(LLM_KV_SSM_INNER_SIZE,            arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE ? 256 : 2*n_embd);
     ms.add_kv(LLM_KV_SSM_CONV_KERNEL,           uint32_t(4));
-    ms.add_kv(LLM_KV_SSM_STATE_SIZE,            uint32_t(32));
+    ms.add_kv(LLM_KV_SSM_STATE_SIZE,            uint32_t(128));
     ms.add_kv(LLM_KV_SSM_TIME_STEP_RANK,        n_head);
     ms.add_kv(LLM_KV_SSM_GROUP_COUNT,           arch == LLM_ARCH_PLAMO2 ? 0 : uint32_t(2));
     ms.add_kv(LLM_KV_KDA_HEAD_DIM,              uint32_t(128));
@@ -235,18 +250,23 @@ static bool silent_model_load_progress(float /*progress*/, void * /*user_data*/)
 }
 
 static std::pair<llama_model_ptr, llama_context_ptr> get_model_and_ctx(
-        struct gguf_context * gguf_ctx, FILE * file, const size_t seed, const std::vector<ggml_backend_dev_t> & devs) {
+        struct gguf_context * gguf_ctx, FILE * file, const size_t seed, const std::vector<ggml_backend_dev_t> & devs,
+        const llama_split_mode split_mode = LLAMA_SPLIT_MODE_LAYER, bool encode = false) {
     GGML_ASSERT((gguf_ctx == nullptr) != (file == nullptr));
     llama_model_params model_params = llama_model_default_params();
     model_params.progress_callback = silent_model_load_progress;
     std::vector<ggml_backend_dev_t> devs_copy = devs;
     devs_copy.push_back(nullptr);
     model_params.devices = devs_copy.data();
+    model_params.split_mode = split_mode;
 
     llama_context_params ctx_params = llama_context_default_params();
     ctx_params.n_ctx = 0;
     ctx_params.n_threads = 4;
     ctx_params.n_threads_batch = 4;
+    if (!encode) {
+        ctx_params.n_ubatch = 64;
+    }
 
     size_t tmp = seed;
     llama_model_ptr model(gguf_ctx != nullptr ?
@@ -357,6 +377,46 @@ static bool moe_implemented(const llm_arch arch) {
     }
 }
 
+static bool arch_supported(const llm_arch arch) {
+    if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
+        return false; // These models don't have usable implementations.
+    }
+    if (arch == LLM_ARCH_CHAMELEON) {
+        return false; // Only half-implemented and to be removed in the future.
+    }
+    if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
+        return false; // FIXME CUDA backend crashes.
+    }
+    if (arch == LLM_ARCH_GEMMA4) {
+        return false; // FIXME @ngxson
+    }
+    if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) {
+        return false; // FIXME Embedding (?) models produce inconsistent results.
+    }
+    if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
+        return false; // FIXME RWKV models hang indefinitely.
+    }
+    if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
+            arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
+        return false; // TODO vocab
+    }
+    if (arch == LLM_ARCH_PLM) {
+        return false; // TODO tensor shapes
+    }
+    if (arch == LLM_ARCH_DEEPSEEK2OCR) {
+        return false;
+    }
+
+    // FIXME some models are segfaulting with WebGPU:
+#ifdef GGML_USE_WEBGPU
+    if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) {
+        return false;
+    }
+#endif // GGML_USE_WEBGPU
+
+    return true;
+}
+
 static int save_models(const llm_arch target_arch, const size_t seed, const ggml_log_level log_level, const std::string & dir) {
     struct user_data_t {
         struct {
@@ -376,27 +436,14 @@ static int save_models(const llm_arch target_arch, const size_t seed, const ggml
     }, &ud);
 
     for (const llm_arch & arch : llm_arch_all()) {
-        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+        if (arch == LLM_ARCH_UNKNOWN) {
             continue;
         }
-        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
-            continue; // These models don't have usable implementations.
-        }
-        if (arch == LLM_ARCH_CHAMELEON) {
-            continue; // Only half-implemented and to be removed in the future.
+        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+            continue;
         }
         if (arch == LLM_ARCH_GEMMA4) {
-            continue; // FIXME @ngxson
-        }
-        if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
-            continue; // FIXME
-        }
-        if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
-                arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
-            continue; // TODO vocab
-        }
-        if (arch == LLM_ARCH_PLM) {
-            continue; // TODO tensor shapes
+            continue; // FIXME: ISWA KV cache initialization needs more fixture params
         }
         for (bool moe : {false, true}) {
             if (moe && !moe_implemented(arch)) {
@@ -440,51 +487,50 @@ static int test_backends(const llm_arch target_arch, const size_t seed, const gg
 
     const std::vector<llama_token> tokens = get_tokens(128, 128, seed);
 
+    struct device_config {
+        std::vector<ggml_backend_dev_t> devs;
+        std::string                     label;
+        llama_split_mode                split_mode;
+
+        device_config(std::vector<ggml_backend_dev_t> devs, std::string name, llama_split_mode split_mode)
+            : devs(std::move(devs)), label(std::move(name)), split_mode(split_mode) {}
+    };
+
+    std::vector<device_config> dev_configs;
+    {
+        std::vector<ggml_backend_dev_t> devices_meta;
+        {
+            const size_t device_count = ggml_backend_dev_count();
+            for (size_t i = 0; i < device_count; i++) {
+                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
+                dev_configs.emplace_back(std::vector<ggml_backend_dev_t>{dev}, ggml_backend_dev_description(dev), LLAMA_SPLIT_MODE_LAYER);
+
+                // cpu-based devices cannot be used in tensor split mode
+                if (ggml_backend_dev_buffer_type(dev) != ggml_backend_cpu_buffer_type()) {
+                    devices_meta.push_back(dev);
+                }
+            }
+        }
+
+        dev_configs.emplace_back(devices_meta, "Meta", LLAMA_SPLIT_MODE_TENSOR);
+    }
+
     bool all_ok = true;
     common_log_flush(common_log_main());
-    printf("|%15s|%30s|%6s|%15s|%9s|\n", "Model arch.", "Device", "Config", "NMSE vs. CPU", "Roundtrip");
-    printf("|---------------|------------------------------|------|---------------|---------|\n");
+    printf("|%16s|%30s|%6s|%15s|%9s|\n", "Model arch.", "Device", "Config", "NMSE vs. CPU", "Roundtrip");
+    printf("|----------------|------------------------------|------|---------------|---------|\n");
     for (const llm_arch & arch : llm_arch_all()) {
-        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+        if (arch == LLM_ARCH_UNKNOWN) {
             continue;
         }
-        if (arch == LLM_ARCH_CLIP || arch == LLM_ARCH_GPTJ || arch == LLM_ARCH_UNKNOWN) {
-            continue; // These models don't have usable implementations.
-        }
-        if (arch == LLM_ARCH_CHAMELEON) {
-            continue; // Only half-implemented and to be removed in the future.
+        if (target_arch != LLM_ARCH_UNKNOWN && arch != target_arch) {
+            continue;
         }
         if (arch == LLM_ARCH_GEMMA4) {
-            continue; // FIXME @ngxson
-        }
-        if (arch == LLM_ARCH_WAVTOKENIZER_DEC) {
-            continue; // FIXME CUDA backend crashes.
-        }
-        if (arch == LLM_ARCH_LLAMA_EMBED || arch == LLM_ARCH_GEMMA_EMBEDDING || arch == LLM_ARCH_T5ENCODER) {
-            continue; // FIXME Embedding (?) models produce inconsistent results.
-        }
-        if (arch == LLM_ARCH_RWKV6 || arch == LLM_ARCH_RWKV6QWEN2 || arch == LLM_ARCH_RWKV7 || arch == LLM_ARCH_ARWKV7) {
-            continue; // FIXME RWKV models hang indefinitely.
-        }
-        if (arch == LLM_ARCH_BERT || arch == LLM_ARCH_MODERN_BERT || arch == LLM_ARCH_NOMIC_BERT || arch == LLM_ARCH_NOMIC_BERT_MOE ||
-                arch == LLM_ARCH_NEO_BERT || arch == LLM_ARCH_JINA_BERT_V2 || arch == LLM_ARCH_JINA_BERT_V3 || arch == LLM_ARCH_EUROBERT) {
-            continue; // TODO vocab
-        }
-        if (arch == LLM_ARCH_PLM) {
-            continue; // TODO tensor shapes
+            continue; // FIXME: ISWA KV cache initialization needs more fixture params
         }
-        if (arch == LLM_ARCH_DEEPSEEK2OCR) {
-            continue; // TODO tensor shapes
-        }
-
-        // FIXME some models are segfaulting with WebGPU:
-#ifdef GGML_USE_WEBGPU
-        if (arch == LLM_ARCH_QWEN3NEXT || arch == LLM_ARCH_QWEN35 || arch == LLM_ARCH_QWEN35MOE || arch == LLM_ARCH_KIMI_LINEAR) {
-            continue;
-        }
-#endif // GGML_USE_WEBGPU
 
-        const bool encode = arch == LLM_ARCH_T5;
+        const bool encode = arch == LLM_ARCH_T5 || arch == LLM_ARCH_DREAM || arch == LLM_ARCH_LLADA || arch == LLM_ARCH_LLADA_MOE || arch == LLM_ARCH_RND1;
         for (bool moe : {false, true}) {
             if (moe && !moe_implemented(arch)) {
                 continue;
@@ -492,50 +538,64 @@ static int test_backends(const llm_arch target_arch, const size_t seed, const gg
             if (!moe && moe_mandatory(arch)) {
                 continue;
             }
+            const std::string config_name = moe ? "MoE" : "Dense";
             gguf_context_ptr gguf_ctx = get_gguf_ctx(arch, moe);
-            auto model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, {});
-            const std::vector<float> logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode);
-            for (size_t i = 0; i < ggml_backend_dev_count(); i++) {
-                ggml_backend_dev_t dev = ggml_backend_dev_get(i);
-                if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU) {
-                    continue;
-                }
-                auto model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, {dev});
-                std::string config_name = moe ? "MoE" : "Dense";
-                const std::vector<float> logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode);
-                const double nmse_val = nmse(logits_cpu, logits_dev);
-                char nmse_str[10];
-                snprintf(nmse_str, sizeof(nmse_str), "%.2e", nmse_val);
-                std::string status_nmse = "\033[1;32mOK\033[0m";
-                if (nmse_val > 1e-4) {
-                    all_ok = false;
-                    status_nmse = "\033[1;31mFAIL\033[0m";
-                }
-
+            std::pair<llama_model_ptr, llama_context_ptr> model_and_ctx_cpu;
+            std::vector<float> logits_cpu;
+            for (device_config & dc : dev_configs) {
+                std::pair<llama_model_ptr, llama_context_ptr> model_and_ctx_dev;
+                std::vector<float> logits_dev;
+                std::string status_nmse      = "\033[1;33mSKIP\033[0m";
                 std::string status_roundtrip = "\033[1;33mSKIP\033[0m";
-                FILE * file = tmpfile(); // Can be null on Windows without administrator privileges.
-                if (file != nullptr && llama_model_saver_supports_arch(arch)) {
-                    llama_model_saver ms = llama_model_saver(model_and_ctx_dev.first.get());
-                    ms.add_kv_from_model();
-                    ms.add_tensors_from_model();
-                    ms.save(file);
-                    rewind(file);
-
-                    auto model_and_ctx_roundtrip = get_model_and_ctx(nullptr, file, seed, {dev});
-                    const std::vector<float> logits_roundtrip = get_logits(
-                        model_and_ctx_roundtrip.first.get(), model_and_ctx_roundtrip.second.get(), tokens, encode);
-                    status_roundtrip = "\033[1;32mOK\033[0m";
-                    GGML_ASSERT(logits_roundtrip.size() == logits_dev.size());
-                    for (size_t i = 0; i < logits_roundtrip.size(); i++) {
-                        if (logits_roundtrip[i] != logits_dev[i]) {
+                char nmse_str[12] = {0};
+                bool skip = !arch_supported(arch) || (dc.split_mode == LLAMA_SPLIT_MODE_TENSOR && dc.devs.empty());
+#if defined(GGML_USE_WEBGPU)
+                skip = true; // FIXME
+#endif // GGML_USE_WEBGPU
+                if (!skip) {
+                    if (logits_cpu.empty()) {
+                        model_and_ctx_cpu = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, {}, LLAMA_SPLIT_MODE_LAYER, encode);
+                        logits_cpu = get_logits(model_and_ctx_cpu.first.get(), model_and_ctx_cpu.second.get(), tokens, encode);
+                    }
+                    if (dc.split_mode != LLAMA_SPLIT_MODE_TENSOR || llm_arch_supports_sm_tensor(arch)) {
+                        model_and_ctx_dev = get_model_and_ctx(gguf_ctx.get(), nullptr, seed, dc.devs, dc.split_mode, encode);
+                        logits_dev = get_logits(model_and_ctx_dev.first.get(), model_and_ctx_dev.second.get(), tokens, encode);
+                        const double nmse_val = nmse(logits_cpu, logits_dev);
+                        snprintf(nmse_str, sizeof(nmse_str), "(%.2e)", nmse_val);
+                        status_nmse = "\033[1;32mOK\033[0m";
+                        if (nmse_val > 1e-4) {
                             all_ok = false;
-                            status_roundtrip = "\033[1;31mFAIL\033[0m";
-                            break;
+                            status_nmse = "\033[1;31mFAIL\033[0m";
+                        }
+                    }
+
+                    FILE * file = tmpfile(); // Can be null on Windows without administrator privileges.
+                    // FIXME: when adding a tensor to a gguf_context a copy is made, this changes the pointer which the meta backend
+                    //     in turn uses to map the tensors to their simple equivalents - this is fundamentally incompatible
+                    if (file != nullptr && llama_model_saver_supports_arch(arch) && dc.split_mode != LLAMA_SPLIT_MODE_TENSOR) {
+                        GGML_ASSERT(model_and_ctx_dev.first && model_and_ctx_dev.second);
+                        llama_model_saver ms = llama_model_saver(model_and_ctx_dev.first.get());
+                        ms.add_kv_from_model();
+                        ms.add_tensors_from_model();
+                        ms.save(file);
+                        rewind(file);
+
+                        auto model_and_ctx_roundtrip = get_model_and_ctx(nullptr, file, seed, dc.devs, dc.split_mode, encode);
+                        const std::vector<float> logits_roundtrip = get_logits(
+                            model_and_ctx_roundtrip.first.get(), model_and_ctx_roundtrip.second.get(), tokens, encode);
+                        status_roundtrip = "\033[1;32mOK\033[0m";
+                        GGML_ASSERT(logits_roundtrip.size() == logits_dev.size());
+                        for (size_t i = 0; i < logits_roundtrip.size(); i++) {
+                            if (logits_roundtrip[i] != logits_dev[i]) {
+                                all_ok = false;
+                                status_roundtrip = "\033[1;31mFAIL\033[0m";
+                                break;
+                            }
                         }
                     }
                 }
 
-                printf("|%15s|%30s|%6s|%15s (%8s)|%20s|\n", llm_arch_name(arch), ggml_backend_dev_description(dev),
+                printf("|%16s|%30s|%6s|%15s %10s|%20s|\n", llm_arch_name(arch), dc.label.c_str(),
                     config_name.c_str(), status_nmse.c_str(), nmse_str, status_roundtrip.c_str());
             }
         }
diff --git a/tests/test-log.cpp b/tests/test-log.cpp
index 306f28c61..ae4a6606b 100644
--- a/tests/test-log.cpp
+++ b/tests/test-log.cpp
@@ -35,5 +35,9 @@ int main() {
         threads[i].join();
     }
 
+    common_log_flush(common_log_main());
+    // We explicitly free the logger singleton to avoid hanging on Windows
+    // related to timing issues of thread startup and DLL teardown
+    common_log_free(common_log_main());
     return 0;
 }
diff --git a/tests/test-mtmd-c-api.c b/tests/test-mtmd-c-api.c
index 02e762e6a..b49498c87 100644
--- a/tests/test-mtmd-c-api.c
+++ b/tests/test-mtmd-c-api.c
@@ -41,8 +41,10 @@ int main(void) {
         } else if (type == MTMD_INPUT_CHUNK_TYPE_IMAGE) {
             const mtmd_image_tokens * image_tokens = mtmd_input_chunk_get_tokens_image(chunk);
             size_t n_tokens = mtmd_image_tokens_get_n_tokens(image_tokens);
-            size_t nx = mtmd_image_tokens_get_nx(image_tokens);
-            size_t ny = mtmd_image_tokens_get_ny(image_tokens);
+            // get position of the last token, which should be (nx - 1, ny - 1)
+            struct mtmd_decoder_pos pos = mtmd_image_tokens_get_decoder_pos(image_tokens, 0, n_tokens - 1);
+            size_t nx = pos.x + 1;
+            size_t ny = pos.y + 1;
             const char * id = mtmd_image_tokens_get_id(image_tokens);
             assert(n_tokens > 0);
             assert(nx > 0);
diff --git a/tests/test-quantize-fns.cpp b/tests/test-quantize-fns.cpp
index a8fb19262..3524e857b 100644
--- a/tests/test-quantize-fns.cpp
+++ b/tests/test-quantize-fns.cpp
@@ -16,15 +16,19 @@
 
 constexpr float MAX_QUANTIZATION_REFERENCE_ERROR = 0.0001f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR = 0.002f;
+constexpr float MAX_QUANTIZATION_TOTAL_ERROR_BINARY = 0.025f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TERNARY = 0.01f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_2BITS = 0.0075f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS = 0.0040f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS = 0.0050f;
 constexpr float MAX_QUANTIZATION_TOTAL_ERROR_FP4 = 0.0030f;
+constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TURBO_0 = 0.035f;
 constexpr float MAX_DOT_PRODUCT_ERROR = 0.02f;
 constexpr float MAX_DOT_PRODUCT_ERROR_LOWBIT = 0.04f;
 constexpr float MAX_DOT_PRODUCT_ERROR_FP4 = 0.03f;
+constexpr float MAX_DOT_PRODUCT_ERROR_BINARY = 0.40f;
 constexpr float MAX_DOT_PRODUCT_ERROR_TERNARY = 0.15f;
+constexpr float MAX_DOT_PRODUCT_ERROR_TURBOQUANT = 1.25f;
 
 static const char* RESULT_STR[] = {"ok", "FAILED"};
 
@@ -85,7 +89,7 @@ static float dot_product_error(const ggml_type_traits * qfns, const ggml_type_tr
     GGML_UNUSED(qfns);
 
     std::vector<uint8_t> tmp_q1(2*test_size);
-    std::vector<uint8_t> tmp_q2(2*test_size);
+    std::vector<uint8_t> tmp_q2(4*test_size);
 
     const auto * vdot = ggml_get_type_traits_cpu(qfns_cpu->vec_dot_type);
 
@@ -145,14 +149,20 @@ int main(int argc, char * argv[]) {
         if (qfns_cpu->from_float && qfns->to_float) {
             const float total_error = total_quantization_error(qfns, qfns_cpu, test_size, test_data.data());
             const float max_quantization_error =
-                type == GGML_TYPE_TQ1_0   ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
-                type == GGML_TYPE_TQ2_0   ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
-                type == GGML_TYPE_Q2_K    ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
-                type == GGML_TYPE_IQ2_S   ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
-                type == GGML_TYPE_Q3_K    ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
-                type == GGML_TYPE_IQ3_S   ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
-                type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS :
-                type == GGML_TYPE_NVFP4   ? MAX_QUANTIZATION_TOTAL_ERROR_FP4 : MAX_QUANTIZATION_TOTAL_ERROR;
+                type == GGML_TYPE_Q1_0     ? MAX_QUANTIZATION_TOTAL_ERROR_BINARY :
+                type == GGML_TYPE_TQ1_0    ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
+                type == GGML_TYPE_TQ2_0    ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY :
+                type == GGML_TYPE_Q2_K     ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
+                type == GGML_TYPE_IQ2_S    ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS :
+                type == GGML_TYPE_Q3_K     ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
+                type == GGML_TYPE_IQ3_S    ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
+                type == GGML_TYPE_TQ3_1S   ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS :
+                type == GGML_TYPE_IQ3_XXS  ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS :
+                type == GGML_TYPE_TURBO2_0 ? MAX_QUANTIZATION_TOTAL_ERROR_TURBO_0 :
+                type == GGML_TYPE_TURBO3_0 ? MAX_QUANTIZATION_TOTAL_ERROR_TURBO_0 :
+                type == GGML_TYPE_TURBO4_0 ? MAX_QUANTIZATION_TOTAL_ERROR_TURBO_0 :
+                type == GGML_TYPE_NVFP4    ? MAX_QUANTIZATION_TOTAL_ERROR_FP4 : MAX_QUANTIZATION_TOTAL_ERROR;
+
             failed = !(total_error < max_quantization_error);
             num_failed += failed;
             if (failed || verbose) {
@@ -167,14 +177,22 @@ int main(int argc, char * argv[]) {
             }
 
             const float vec_dot_error = dot_product_error(qfns, qfns_cpu, test_size, test_data.data(), test_data2.data());
-            const float max_allowed_error = type == GGML_TYPE_Q2_K || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ2_XXS ||
-                                            type == GGML_TYPE_IQ3_XXS || type == GGML_TYPE_IQ3_S || type == GGML_TYPE_IQ2_S
-                                          ? MAX_DOT_PRODUCT_ERROR_LOWBIT
-                                          : type == GGML_TYPE_TQ1_0 || type == GGML_TYPE_TQ2_0
-                                          ? MAX_DOT_PRODUCT_ERROR_TERNARY
-                                          : type == GGML_TYPE_NVFP4
-                                          ? MAX_DOT_PRODUCT_ERROR_FP4
-                                          : MAX_DOT_PRODUCT_ERROR;
+            const float max_allowed_error =
+                type == GGML_TYPE_Q2_K     ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_IQ2_XS   ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_IQ2_XXS  ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_IQ3_XXS  ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_IQ3_S    ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_IQ2_S    ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_TQ3_1S   ? MAX_DOT_PRODUCT_ERROR_LOWBIT:
+                type == GGML_TYPE_Q1_0     ? MAX_DOT_PRODUCT_ERROR_BINARY:
+                type == GGML_TYPE_TQ1_0    ? MAX_DOT_PRODUCT_ERROR_TERNARY:
+                type == GGML_TYPE_TQ2_0    ? MAX_DOT_PRODUCT_ERROR_TERNARY:
+                type == GGML_TYPE_TURBO2_0 ? MAX_DOT_PRODUCT_ERROR_TURBOQUANT:
+                type == GGML_TYPE_TURBO3_0 ? MAX_DOT_PRODUCT_ERROR_TURBOQUANT:
+                type == GGML_TYPE_TURBO4_0 ? MAX_DOT_PRODUCT_ERROR_TURBOQUANT:
+                type == GGML_TYPE_NVFP4    ? MAX_DOT_PRODUCT_ERROR_FP4: MAX_DOT_PRODUCT_ERROR;
+
             failed = !(vec_dot_error < max_allowed_error);
             num_failed += failed;
             if (failed || verbose) {
diff --git a/tests/test-quantize-stats.cpp b/tests/test-quantize-stats.cpp
index de587d456..e53a7b355 100644
--- a/tests/test-quantize-stats.cpp
+++ b/tests/test-quantize-stats.cpp
@@ -1,10 +1,13 @@
-#include "ggml.h"
-#include "ggml-cpu.h"
 #include "llama.h"
+
+#include "build-info.h"
 #include "common.h"
 
 #include "../src/llama-model.h"
 
+#include "ggml.h"
+#include "ggml-cpu.h"
+
 #include <algorithm>
 #include <cassert>
 #include <cinttypes>
@@ -298,7 +301,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    print_build_info();
+    llama_print_build_info();
 
     // load the model
     fprintf(stderr, "Loading model\n");
diff --git a/tests/test-reasoning-budget.cpp b/tests/test-reasoning-budget.cpp
index 3028fb4d8..747d24644 100644
--- a/tests/test-reasoning-budget.cpp
+++ b/tests/test-reasoning-budget.cpp
@@ -70,20 +70,20 @@ static void test_reasoning_budget(
         llama_sampler_apply(sampler, &cur_p);
 
         // Check if forcing is active (all logits except one should be -INFINITY)
-        size_t finite_count = 0;
-        llama_token finite_token = -1;
+        size_t not_neg_inf = 0;
+        llama_token not_neg_inf_token = -1;
         for (size_t j = 0; j < cur.size(); j++) {
-            if (std::isfinite(cur[j].logit)) {
-                finite_count++;
-                finite_token = cur[j].id;
+            if (std::isfinite(cur[j].logit) || cur[j].logit > 0) { // +INFINITY
+                not_neg_inf++;
+                not_neg_inf_token = cur[j].id;
             }
         }
 
         llama_sampler_accept(sampler, sequence[i]);
 
-        fprintf(stderr, "    i=%zu: token=%d, finite_count=%zu, finite_token=%d\n", i, (int)sequence[i], finite_count, (int)finite_token);
+        fprintf(stderr, "    i=%zu: token=%d, not_neg_inf_count=%zu, not_neg_inf_token=%d\n", i, (int)sequence[i], not_neg_inf, (int)not_neg_inf_token);
 
-        if (finite_count == 1) {
+        if (not_neg_inf == 1) {
             if (actual_force_start == SIZE_MAX) {
                 actual_force_start = i;
             }
@@ -227,7 +227,30 @@ int main(void) {
             3);     // forcing continues through i=3
     }
 
-    printf("OK (5 tests passed)\n");
+    // Test 6: Multi-block thinking. First block ends naturally at i=2, second
+    // start tag at i=3 re-arms the budget, which then exhausts at i=5.
+    // Regression: before this fix, DONE absorbed all subsequent tokens and a
+    // second <think> block ran unbudgeted.
+    // Flow: i=0 accept(100)->COUNTING rem=2; i=1 accept(50)->rem=1;
+    //       i=2 accept(101)->end_matcher matches, DONE;
+    //       i=3 accept(100)->re-arm, COUNTING rem=2;
+    //       i=4 accept(60)->rem=1; i=5 accept(61)->rem=0->FORCING;
+    //       i=6 apply()->forces token[0]=102, accept(62)->force_pos=1, stay FORCING;
+    //       i=7 apply()->forces token[1]=101, accept(63)->force_pos=2->DONE.
+    {
+        const std::vector<llama_token> start = {100};
+        const std::vector<llama_token> end = {101};
+        const std::vector<llama_token> forced = {102, 101};
+        const std::vector<llama_token> sequence = {100, 50, 101, 100, 60, 61, 62, 63};
+
+        test_reasoning_budget("multi-block re-arms budget after DONE", sequence, start, end, forced,
+            2,      // budget of 2 tokens (per block)
+            REASONING_BUDGET_IDLE,
+            6,      // forcing starts at i=6 (after second block exhausts at i=5)
+            7);     // forcing continues through i=7
+    }
+
+    printf("OK (6 tests passed)\n");
 
     printf("Testing UTF-8 boundary detection... ");
     test_utf8_boundary_detection();
diff --git a/tests/test-state-restore-fragmented.cpp b/tests/test-state-restore-fragmented.cpp
index 8a9bfaf5d..d5548afba 100644
--- a/tests/test-state-restore-fragmented.cpp
+++ b/tests/test-state-restore-fragmented.cpp
@@ -29,6 +29,9 @@ int main(int argc, char ** argv) {
     }
 
     // init
+
+    ggml_backend_load_all();
+
     common_init_result_ptr llama_init = common_init_from_params(params);
 
     llama_model * model = llama_init->model();
diff --git a/tests/test-tokenizer-0.py b/tests/test-tokenizer-0.py
index cd760d1ce..4f3f1c8a6 100644
--- a/tests/test-tokenizer-0.py
+++ b/tests/test-tokenizer-0.py
@@ -19,7 +19,7 @@
     lines = f.readlines()
     s = ''.join(lines)
     t_start = time.time()
-    res = tokenizer.encode(s, add_special_tokens=False)
+    res = tokenizer.encode(s, add_special_tokens=False)  # ty: ignore[unresolved-attribute]
     t_end = time.time()
     print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100
     with open(fname_out, 'w', encoding='utf-8') as f:
diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py
index 25af4ee63..8fc476b63 100644
--- a/tests/test-tokenizer-random.py
+++ b/tests/test-tokenizer-random.py
@@ -128,7 +128,7 @@ def decode(self, ids: list[int]) -> str:
 class TokenizerGroundtruth (Tokenizer):
 
     def __init__(self, dir_tokenizer: str):
-        self.model: PreTrainedTokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
+        self.model: PreTrainedTokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)  # ty: ignore[invalid-assignment]
         # guess BOS and EOS
         ids = self.encode("a")
         assert 1 <= len(ids) <= 3
@@ -142,7 +142,7 @@ def __init__(self, dir_tokenizer: str):
         self.vocab = list(sorted(self.vocab))
         # tokens and lists
         self.special_tokens = list(self.model.all_special_tokens)
-        self.added_tokens   = self.model.batch_decode(self.model.added_tokens_encoder.values(), skip_special_tokens=False)
+        self.added_tokens   = self.model.batch_decode(list(self.model.added_tokens_encoder.values()), skip_special_tokens=False)
         self.bos_token = self.model.bos_token
         self.eos_token = self.model.eos_token
 
@@ -150,7 +150,7 @@ def encode(self, text: str) -> list[int]:
         return self.model.encode(text, add_special_tokens=True)
 
     def decode(self, ids: list[int]) -> str:
-        return self.model.decode(ids, skip_special_tokens=False)
+        return self.model.decode(ids, skip_special_tokens=False)  # ty: ignore[invalid-return-type]
 
 
 class TokenizerLlamaCpp (Tokenizer):
diff --git a/tools/batched-bench/CMakeLists.txt b/tools/batched-bench/CMakeLists.txt
index 4a46b57a5..f9ffd2d4c 100644
--- a/tools/batched-bench/CMakeLists.txt
+++ b/tools/batched-bench/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-batched-bench)
 add_executable(${TARGET} batched-bench.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/cli/CMakeLists.txt b/tools/cli/CMakeLists.txt
index b08fff4c2..7e01abb81 100644
--- a/tools/cli/CMakeLists.txt
+++ b/tools/cli/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-cli)
 add_executable(${TARGET} cli.cpp)
-target_link_libraries(${TARGET} PRIVATE server-context PUBLIC common ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE server-context PUBLIC llama-common ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 include_directories(../server)
diff --git a/tools/cli/README.md b/tools/cli/README.md
index de0b78040..bca4da7ef 100644
--- a/tools/cli/README.md
+++ b/tools/cli/README.md
@@ -15,7 +15,6 @@
 | `--license` | show source code license and dependencies |
 | `-cl, --cache-list` | show list of models in cache |
 | `--completion-bash` | print source-able bash completion script for llama.cpp |
-| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
 | `-t, --threads N` | number of CPU threads to use during generation (default: -1)<br/>(env: LLAMA_ARG_THREADS) |
 | `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) |
 | `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") |
@@ -66,7 +65,7 @@
 | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
 | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
 | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
+| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs (pipelined)<br/>- row: split weight across GPUs by rows (parallelized)<br/>- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)<br/>(env: LLAMA_ARG_SPLIT_MODE) |
 | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
 | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
 | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
@@ -84,7 +83,6 @@
 | `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
 | `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
 | `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
 | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
 | `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
 | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
@@ -97,8 +95,8 @@
 | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
 | `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
 | `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
+| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) |
+| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) |
 
 
 ### Sampling params
@@ -145,6 +143,7 @@
 
 | Argument | Explanation |
 | -------- | ----------- |
+| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
 | `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) |
 | `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal |
 | `-ctxcp, --ctx-checkpoints, --swa-checkpoints N` | max number of context checkpoints to create per slot (default: 32)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293)<br/>(env: LLAMA_ARG_CTX_CHECKPOINTS) |
@@ -167,30 +166,59 @@
 | `--image, --audio FILE` | path to an image or audio file. use with multimodal models, use comma-separated values for multiple files |
 | `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
 | `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
-| `-otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
-| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_CPU_MOE_DRAFT) |
-| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_N_CPU_MOE_DRAFT) |
 | `--chat-template-kwargs STRING` | sets additional params for the json template parser, must be a valid json object string, e.g. '{"key1":"value1","key2":"value2"}'<br/>(env: LLAMA_CHAT_TEMPLATE_KWARGS) |
 | `--jinja, --no-jinja` | whether to use jinja template engine for chat (default: enabled)<br/>(env: LLAMA_ARG_JINJA) |
 | `--reasoning-format FORMAT` | controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:<br/>- none: leaves thoughts unparsed in `message.content`<br/>- deepseek: puts thoughts in `message.reasoning_content`<br/>- deepseek-legacy: keeps `<think>` tags in `message.content` while also populating `message.reasoning_content`<br/>(default: auto)<br/>(env: LLAMA_ARG_THINK) |
 | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))<br/>(env: LLAMA_ARG_REASONING) |
 | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
 | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)<br/>(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
+| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
+| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
 | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)<br/>(env: LLAMA_ARG_SKIP_CHAT_PARSING) |
 | `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles |
-| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_DRAFT_MAX) |
-| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_DRAFT_MIN) |
-| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_DRAFT_P_MIN) |
-| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE_DRAFT) |
-| `-devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
-| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
-| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_MODEL_DRAFT) |
-| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
+| `--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_SPEC_DRAFT_HF_REPO) |
+| `--spec-draft-threads, -td, --threads-draft N` | number of threads to use during generation (default: same as --threads) |
+| `--spec-draft-threads-batch, -tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) |
+| `--spec-draft-cpu-mask, -Cd, --cpu-mask-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) |
+| `--spec-draft-cpu-range, -Crd, --cpu-range-draft lo-hi` | Ranges of CPUs for affinity. Complements --cpu-mask-draft |
+| `--spec-draft-cpu-strict, --cpu-strict-draft <0\|1>` | Use strict CPU placement for draft model (default: same as --cpu-strict) |
+| `--spec-draft-prio, --prio-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
+| `--spec-draft-poll, --poll-draft <0\|1>` | Use polling to wait for draft model work (default: same as --poll) |
+| `--spec-draft-cpu-mask-batch, -Cbd, --cpu-mask-batch-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) |
+| `--spec-draft-cpu-strict-batch, --cpu-strict-batch-draft <0\|1>` | Use strict CPU placement for draft model (default: --cpu-strict-draft) |
+| `--spec-draft-prio-batch, --prio-batch-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
+| `--spec-draft-poll-batch, --poll-batch-draft <0\|1>` | Use polling to wait for draft model work (default: --poll-draft) |
+| `--spec-draft-override-tensor, -otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
+| `--spec-draft-cpu-moe, -cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_SPEC_DRAFT_CPU_MOE) |
+| `--spec-draft-n-cpu-moe, --spec-draft-ncmoe, -ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE) |
+| `--spec-draft-n-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_MAX) |
+| `--spec-draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_MIN) |
+| `--spec-draft-p-split, --draft-p-split P` | speculative decoding split probability (default: 0.10)<br/>(env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT) |
+| `--spec-draft-p-min, --draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_SPEC_DRAFT_P_MIN) |
+| `--spec-draft-ctx-size, -cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CTX_SIZE) |
+| `--spec-draft-device, -devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
+| `--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
+| `--spec-draft-model, -md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_SPEC_DRAFT_MODEL) |
+| `--spec-draft-replace, --spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
+| `--spec-type [none\|ngram-cache\|ngram-simple\|ngram-map-k\|ngram-map-k4v\|ngram-mod]` | type of speculative decoding to use when no draft model is provided (default: none)<br/><br/>(env: LLAMA_ARG_SPEC_TYPE) |
+| `--spec-ngram-mod-n-min N` | minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48) |
+| `--spec-ngram-mod-n-max N` | maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64) |
+| `--spec-ngram-mod-n-match N` | ngram-mod lookup length (default: 24) |
+| `--spec-ngram-simple-size-n N` | ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-simple-size-m N` | ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-simple-min-hits N` | minimum hits for ngram-simple speculative decoding (default: 1) |
+| `--spec-ngram-map-k-size-n N` | ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-map-k-size-m N` | ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-map-k-min-hits N` | minimum hits for ngram-map-k speculative decoding (default: 1) |
+| `--spec-ngram-map-k4v-size-n N` | ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-map-k4v-size-m N` | ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-map-k4v-min-hits N` | minimum hits for ngram-map-k4v speculative decoding (default: 1) |
+| `--draft, --draft-n, --draft-max N` | the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max<br/>(env: LLAMA_ARG_DRAFT_MAX) |
+| `--draft-min, --draft-n-min N` | the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min<br/>(env: LLAMA_ARG_DRAFT_MIN) |
 | `--gpt-oss-20b-default` | use gpt-oss-20b (note: can download weights from the internet) |
 | `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) |
 | `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) |
 | `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) |
+| `--spec-default` | enable default speculative decoding config |
 
 <!-- HELP_END -->
diff --git a/tools/cli/cli.cpp b/tools/cli/cli.cpp
index b57d27762..369c24216 100644
--- a/tools/cli/cli.cpp
+++ b/tools/cli/cli.cpp
@@ -2,8 +2,10 @@
 #include "common.h"
 #include "arg.h"
 #include "console.h"
+#include "fit.h"
 // #include "log.h"
 
+#include "server-common.h"
 #include "server-context.h"
 #include "server-task.h"
 
@@ -57,8 +59,6 @@ struct cli_context {
     std::vector<raw_buffer> input_files;
     task_params defaults;
     bool verbose_prompt;
-    int reasoning_budget = -1;
-    std::string reasoning_budget_message;
 
     // thread for showing "loading" animation
     std::atomic<bool> loading_show;
@@ -75,8 +75,6 @@ struct cli_context {
         // defaults.return_progress = true; // TODO: show progress
 
         verbose_prompt = params.verbose_prompt;
-        reasoning_budget = params.reasoning_budget;
-        reasoning_budget_message = params.reasoning_budget_message;
     }
 
     std::string generate_completion(result_timings & out_timings) {
@@ -104,7 +102,7 @@ struct cli_context {
                 const llama_vocab * vocab = llama_model_get_vocab(
                     llama_get_model(ctx_server.get_llama_context()));
 
-                task.params.sampling.reasoning_budget_tokens = reasoning_budget;
+                task.params.sampling.reasoning_budget_tokens = defaults.sampling.reasoning_budget_tokens;
                 task.params.sampling.generation_prompt = chat_params.generation_prompt;
 
                 if (!chat_params.thinking_start_tag.empty()) {
@@ -114,7 +112,7 @@ struct cli_context {
                 task.params.sampling.reasoning_budget_end =
                     common_tokenize(vocab, chat_params.thinking_end_tag, false, true);
                 task.params.sampling.reasoning_budget_forced =
-                    common_tokenize(vocab, reasoning_budget_message + chat_params.thinking_end_tag, false, true);
+                    common_tokenize(vocab, defaults.sampling.reasoning_budget_message + chat_params.thinking_end_tag, false, true);
             }
 
             rd.post_task({std::move(task)});
@@ -194,7 +192,7 @@ struct cli_context {
             raw_buffer buf;
             buf.assign((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
             input_files.push_back(std::move(buf));
-            return mtmd_default_marker();
+            return get_media_marker();
         } else {
             std::string content((std::istreambuf_iterator<char>(file)), std::istreambuf_iterator<char>());
             return content;
@@ -205,6 +203,8 @@ struct cli_context {
         auto meta = ctx_server.get_meta();
         auto & chat_params = meta.chat_params;
 
+        auto caps = common_chat_templates_get_caps(chat_params.tmpls.get());
+
         common_chat_templates_inputs inputs;
         inputs.messages              = common_chat_msgs_parse_oaicompat(messages);
         inputs.tools                 = {}; // TODO
@@ -212,7 +212,7 @@ struct cli_context {
         inputs.json_schema           = ""; // TODO
         inputs.grammar               = ""; // TODO
         inputs.use_jinja             = chat_params.use_jinja;
-        inputs.parallel_tool_calls   = false;
+        inputs.parallel_tool_calls   = caps["supports_parallel_tool_calls"];
         inputs.add_generation_prompt = true;
         inputs.reasoning_format      = COMMON_REASONING_FORMAT_DEEPSEEK;
         inputs.force_pure_content    = chat_params.force_pure_content;
@@ -224,7 +224,7 @@ struct cli_context {
 };
 
 // TODO?: Make this reusable, enums, docs
-static const std::array<const std::string, 7> cmds = {
+static const std::array<std::string_view, 7> cmds = {
     "/audio ",
     "/clear",
     "/exit",
@@ -238,19 +238,19 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
     std::vector<std::pair<std::string, size_t>> matches;
     std::string cmd;
 
-    if (line.length() > 1 && line[0] == '/' && !std::any_of(cmds.begin(), cmds.end(), [line](const std::string & prefix) {
+    if (line.length() > 1 && line.front() == '/' && !std::any_of(cmds.begin(), cmds.end(), [line](std::string_view prefix) {
         return string_starts_with(line, prefix);
     })) {
         auto it = cmds.begin();
 
-        while ((it = std::find_if(it, cmds.end(), [line](const std::string & cmd_line) {
+        while ((it = std::find_if(it, cmds.end(), [line](std::string_view cmd_line) {
             return string_starts_with(cmd_line, line);
         })) != cmds.end()) {
-            matches.emplace_back(*it, (*it).length());
+            matches.emplace_back(*it, it->length());
             ++it;
         }
     } else {
-        auto it = std::find_if(cmds.begin(), cmds.end(), [line](const std::string & prefix) {
+        auto it = std::find_if(cmds.begin(), cmds.end(), [line](std::string_view prefix) {
             return prefix.back() == ' ' && string_starts_with(line, prefix);
         });
 
@@ -267,18 +267,18 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
         std::string expanded_prefix = path_prefix;
 
 #if !defined(_WIN32)
-        if (string_starts_with(path_prefix, "~")) {
+        if (string_starts_with(path_prefix, '~')) {
             const char * home = std::getenv("HOME");
             if (home && home[0]) {
-                expanded_prefix = std::string(home) + path_prefix.substr(1);
+                expanded_prefix = home + path_prefix.substr(1);
             }
         }
-        if (string_starts_with(expanded_prefix, "/")) {
+        if (string_starts_with(expanded_prefix, '/')) {
 #else
         if (std::isalpha(expanded_prefix[0]) && expanded_prefix.find(':') == 1) {
 #endif
             cur_dir = std::filesystem::path(expanded_prefix).parent_path();
-            cur_dir_str = "";
+            cur_dir_str.clear();
         } else if (!path_prefix.empty()) {
             cur_dir /= std::filesystem::path(path_prefix).parent_path();
         }
@@ -301,7 +301,7 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
             }
 
             if (expanded_prefix.empty() || string_starts_with(path_entry, expanded_prefix)) {
-                std::string updated_line = cmd + path_entry;
+                const std::string updated_line = cmd + path_entry;
                 matches.emplace_back(updated_line + path_postfix, updated_line.length());
             }
 
@@ -311,7 +311,7 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
         }
 
         if (matches.empty()) {
-            std::string updated_line = cmd + path_prefix;
+            const std::string updated_line = cmd + path_prefix;
             matches.emplace_back(updated_line + path_postfix, updated_line.length());
         }
 
@@ -328,7 +328,7 @@ static std::vector<std::pair<std::string, size_t>> auto_completion_callback(std:
                 len = std::min(len, static_cast<size_t>(cmp.first - match0.begin()));
             }
 
-            std::string updated_line = std::string(match0.substr(0, len));
+            const std::string updated_line = std::string(match0.substr(0, len));
             matches.emplace_back(updated_line + path_postfix, updated_line.length());
         }
 
@@ -565,10 +565,10 @@ int main(int argc, char ** argv) {
                 if (endpath != std::string::npos) {
                     std::string rel_pattern = pattern.substr(0, endpath);
 #if !defined(_WIN32)
-                    if (string_starts_with(rel_pattern, "~")) {
+                    if (string_starts_with(rel_pattern, '~')) {
                         const char * home = std::getenv("HOME");
                         if (home && home[0]) {
-                            rel_pattern = std::string(home) + rel_pattern.substr(1);
+                            rel_pattern = home + rel_pattern.substr(1);
                         }
                     }
 #endif
@@ -646,7 +646,7 @@ int main(int argc, char ** argv) {
 
     // bump the log level to display timings
     common_log_set_verbosity_thold(LOG_LEVEL_INFO);
-    llama_memory_breakdown_print(ctx_cli.ctx_server.get_llama_context());
+    common_memory_breakdown_print(ctx_cli.ctx_server.get_llama_context());
 
     return 0;
 }
diff --git a/tools/completion/CMakeLists.txt b/tools/completion/CMakeLists.txt
index 126ae6ab3..2c7df8065 100644
--- a/tools/completion/CMakeLists.txt
+++ b/tools/completion/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-completion)
 add_executable(${TARGET} completion.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/completion/README.md b/tools/completion/README.md
index fe1a036a3..7042889db 100644
--- a/tools/completion/README.md
+++ b/tools/completion/README.md
@@ -98,7 +98,6 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `--license` | show source code license and dependencies |
 | `-cl, --cache-list` | show list of models in cache |
 | `--completion-bash` | print source-able bash completion script for llama.cpp |
-| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
 | `-t, --threads N` | number of CPU threads to use during generation (default: -1)<br/>(env: LLAMA_ARG_THREADS) |
 | `-tb, --threads-batch N` | number of threads to use during batch and prompt processing (default: same as --threads) |
 | `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range (default: "") |
@@ -149,7 +148,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
 | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
 | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
+| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs (pipelined)<br/>- row: split weight across GPUs by rows (parallelized)<br/>- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)<br/>(env: LLAMA_ARG_SPLIT_MODE) |
 | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
 | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
 | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
@@ -167,7 +166,6 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
 | `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
 | `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
 | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
 | `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
 | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
@@ -180,8 +178,8 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
 | `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
 | `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
+| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) |
+| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) |
 
 
 ### Sampling params
@@ -228,6 +226,7 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 
 | Argument | Explanation |
 | -------- | ----------- |
+| `--verbose-prompt` | print a verbose prompt before generation (default: false) |
 | `--display-prompt, --no-display-prompt` | whether to print prompt at generation (default: true) |
 | `-co, --color [on\|off\|auto]` | Colorize output to distinguish prompt and user input from generations ('on', 'off', or 'auto', default: 'auto')<br/>'auto' enables colors when output is to a terminal |
 | `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
@@ -255,8 +254,8 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
 | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))<br/>(env: LLAMA_ARG_REASONING) |
 | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
 | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)<br/>(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
+| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
+| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
 | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)<br/>(env: LLAMA_ARG_SKIP_CHAT_PARSING) |
 | `--simple-io` | use basic IO for better compatibility in subprocesses and limited consoles |
 
diff --git a/tools/cvector-generator/CMakeLists.txt b/tools/cvector-generator/CMakeLists.txt
index baeb4d00c..c0f2c2407 100644
--- a/tools/cvector-generator/CMakeLists.txt
+++ b/tools/cvector-generator/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-cvector-generator)
 add_executable(${TARGET} cvector-generator.cpp pca.hpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/cvector-generator/cvector-generator.cpp b/tools/cvector-generator/cvector-generator.cpp
index fd6e5ddd2..8c6b3d868 100644
--- a/tools/cvector-generator/cvector-generator.cpp
+++ b/tools/cvector-generator/cvector-generator.cpp
@@ -2,6 +2,7 @@
 #include "gguf.h"
 
 #include "arg.h"
+#include "build-info.h"
 #include "common.h"
 #include "llama.h"
 #include "pca.hpp"
@@ -420,7 +421,7 @@ int main(int argc, char ** argv) {
     params.cb_eval_user_data = &cb_data;
     params.warmup = false;
 
-    print_build_info();
+    llama_print_build_info();
     llama_backend_init();
     llama_numa_init(params.numa);
 
diff --git a/tools/export-lora/CMakeLists.txt b/tools/export-lora/CMakeLists.txt
index cddfa77f0..b122a8752 100644
--- a/tools/export-lora/CMakeLists.txt
+++ b/tools/export-lora/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-export-lora)
 add_executable(${TARGET} export-lora.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/fit-params/CMakeLists.txt b/tools/fit-params/CMakeLists.txt
index 34c3373f8..25c409663 100644
--- a/tools/fit-params/CMakeLists.txt
+++ b/tools/fit-params/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-fit-params)
 add_executable(${TARGET} fit-params.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/fit-params/fit-params.cpp b/tools/fit-params/fit-params.cpp
index 3c0404ed3..bcdf44040 100644
--- a/tools/fit-params/fit-params.cpp
+++ b/tools/fit-params/fit-params.cpp
@@ -1,14 +1,12 @@
 #include "llama.h"
+#include "../src/llama-ext.h"
 
 #include "arg.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 
-#include <chrono>
 #include <cinttypes>
-#include <thread>
-
-using namespace std::chrono_literals;
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -19,49 +17,58 @@ int main(int argc, char ** argv) {
 
     common_init();
 
-    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
+    if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FIT_PARAMS)) {
         return 1;
     }
 
     llama_backend_init();
     llama_numa_init(params.numa);
+
     auto mparams = common_model_params_to_llama(params);
     auto cparams = common_context_params_to_llama(params);
-    const llama_params_fit_status status = llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
-        params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
-        params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
-    if (status != LLAMA_PARAMS_FIT_STATUS_SUCCESS) {
-        LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
-        exit(1);
-    }
 
-    LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
-    common_log_flush(common_log_main());
-    printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
+    if (!params.fit_params_print) {
+        const common_params_fit_status status = common_fit_params(params.model.path.c_str(), &mparams, &cparams,
+                params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
+                params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
+        if (status != COMMON_PARAMS_FIT_STATUS_SUCCESS) {
+            LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
+            exit(1);
+        }
 
-    size_t nd = llama_max_devices();
-    while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
-        nd--;
-    }
-    if (nd > 1) {
-        for (size_t id = 0; id < nd; id++) {
-            if (id == 0) {
-                printf(" -ts ");
+        LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
+        common_log_flush(common_log_main());
+        printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
+
+        size_t nd = llama_max_devices();
+        while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
+            nd--;
+        }
+        if (nd > 1) {
+            for (size_t id = 0; id < nd; id++) {
+                if (id == 0) {
+                    printf(" -ts ");
+                }
+                printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
             }
-            printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
         }
-    }
 
-    const size_t ntbo = llama_max_tensor_buft_overrides();
-    bool any_tbo = false;
-    for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
-        if (itbo == 0) {
-            printf(" -ot \"");
+        const size_t ntbo = llama_max_tensor_buft_overrides();
+        bool any_tbo = false;
+        for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
+            if (itbo == 0) {
+                printf(" -ot \"");
+            }
+            printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
+            any_tbo = true;
         }
-        printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
-        any_tbo = true;
+        printf("%s\n", any_tbo ? "\"" : "");
+    } else {
+        LOG_INF("%s: printing estimated memory in MiB to stdout (device, model, context, compute) ...\n", __func__);
+        common_log_flush(common_log_main());
+
+        common_fit_print(params.model.path.c_str(), &mparams, &cparams);
     }
-    printf("%s\n", any_tbo ? "\"" : "");
 
     return 0;
 }
diff --git a/tools/gguf-split/CMakeLists.txt b/tools/gguf-split/CMakeLists.txt
index 9b2125087..b40e07ab5 100644
--- a/tools/gguf-split/CMakeLists.txt
+++ b/tools/gguf-split/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-gguf-split)
 add_executable(${TARGET} gguf-split.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/gguf-split/gguf-split.cpp b/tools/gguf-split/gguf-split.cpp
index f99f0299b..8a6b5c198 100644
--- a/tools/gguf-split/gguf-split.cpp
+++ b/tools/gguf-split/gguf-split.cpp
@@ -1,8 +1,11 @@
-#include "ggml.h"
-#include "gguf.h"
 #include "llama.h"
+
+#include "build-info.h"
 #include "common.h"
 
+#include "ggml.h"
+#include "gguf.h"
+
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
@@ -101,8 +104,8 @@ static void split_params_parse_ex(int argc, const char ** argv, split_params & p
             split_print_usage(argv[0]);
             exit(0);
         } else if (arg == "--version") {
-            fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
-            fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
+            fprintf(stderr, "version: %d (%s)\n", llama_build_number(), llama_commit());
+            fprintf(stderr, "built with %s for %s\n", llama_compiler(), llama_build_target());
             exit(0);
         } else if (arg == "--dry-run") {
             arg_found = true;
diff --git a/tools/imatrix/CMakeLists.txt b/tools/imatrix/CMakeLists.txt
index 5af6263f9..361c4577d 100644
--- a/tools/imatrix/CMakeLists.txt
+++ b/tools/imatrix/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-imatrix)
 add_executable(${TARGET} imatrix.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/llama-bench/CMakeLists.txt b/tools/llama-bench/CMakeLists.txt
index b8543a969..93d6a3aa2 100644
--- a/tools/llama-bench/CMakeLists.txt
+++ b/tools/llama-bench/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-bench)
 add_executable(${TARGET} llama-bench.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/llama-bench/llama-bench.cpp b/tools/llama-bench/llama-bench.cpp
index cb1f7dcbc..a2b252942 100644
--- a/tools/llama-bench/llama-bench.cpp
+++ b/tools/llama-bench/llama-bench.cpp
@@ -19,8 +19,10 @@
 #include <vector>
 #include <unordered_set>
 
+#include "build-info.h"
 #include "common.h"
 #include "download.h"
+#include "fit.h"
 #include "ggml.h"
 #include "llama.h"
 
@@ -260,6 +262,8 @@ static const char * split_mode_str(llama_split_mode mode) {
             return "layer";
         case LLAMA_SPLIT_MODE_ROW:
             return "row";
+        case LLAMA_SPLIT_MODE_TENSOR:
+            return "tensor";
         default:
             GGML_ABORT("invalid split mode");
     }
@@ -368,7 +372,7 @@ static const cmd_params cmd_params_defaults = {
     /* n_ubatch             */ { 512 },
     /* type_k               */ { GGML_TYPE_F16 },
     /* type_v               */ { GGML_TYPE_F16 },
-    /* n_threads            */ { cpu_get_num_math() },
+    /* n_threads            */ { common_cpu_get_num_math() },
     /* cpu_mask             */ { "0x0" },
     /* cpu_strict           */ { false },
     /* poll                 */ { 50 },
@@ -444,7 +448,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  --poll <0...100>                            (default: %s)\n", join(cmd_params_defaults.poll, ",").c_str());
     printf("  -ngl, --n-gpu-layers <n>                    (default: %s)\n", join(cmd_params_defaults.n_gpu_layers, ",").c_str());
     printf("  -ncmoe, --n-cpu-moe <n>                     (default: %s)\n", join(cmd_params_defaults.n_cpu_moe, ",").c_str());
-    printf("  -sm, --split-mode <none|layer|row>          (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
+    printf("  -sm, --split-mode <none|layer|row|tensor>   (default: %s)\n", join(transform_to_str(cmd_params_defaults.split_mode, split_mode_str), ",").c_str());
     printf("  -mg, --main-gpu <i>                         (default: %s)\n", join(cmd_params_defaults.main_gpu, ",").c_str());
     printf("  -nkvo, --no-kv-offload <0|1>                (default: %s)\n", join(cmd_params_defaults.no_kv_offload, ",").c_str());
     printf("  -fa, --flash-attn <0|1>                     (default: %s)\n", join(cmd_params_defaults.flash_attn, ",").c_str());
@@ -752,6 +756,8 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                         mode = LLAMA_SPLIT_MODE_LAYER;
                     } else if (m == "row") {
                         mode = LLAMA_SPLIT_MODE_ROW;
+                    } else if (m == "tensor") {
+                        mode = LLAMA_SPLIT_MODE_TENSOR;
                     } else {
                         invalid_param = true;
                         break;
@@ -1019,7 +1025,9 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 model.hf_file = params.hf_file[i];
             }
 
-            auto download_result = common_download_model(model, params.hf_token);
+            common_download_opts opts;
+            opts.bearer_token = params.hf_token;
+            auto download_result = common_download_model(model, opts);
             if (download_result.model_path.empty()) {
                 fprintf(stderr, "error: failed to download model from HuggingFace\n");
                 exit(1);
@@ -1627,8 +1635,8 @@ struct test {
     }
 };
 
-const std::string test::build_commit = LLAMA_COMMIT;
-const int         test::build_number = LLAMA_BUILD_NUMBER;
+const std::string test::build_commit = llama_commit();
+const int         test::build_number = llama_build_number();
 
 struct printer {
     virtual ~printer() {}
@@ -1777,7 +1785,7 @@ struct markdown_printer : public printer {
             return 6;
         }
         if (field == "split_mode") {
-            return 5;
+            return 6;
         }
         if (field == "flash_attn") {
             return 2;
@@ -2227,7 +2235,7 @@ int main(int argc, char ** argv) {
                 prev_inst = nullptr;
             }
 
-            // use default n_gpu_layers and n_ctx so llama_params_fit can adjust them
+            // use default n_gpu_layers and n_ctx so common_fit_params can adjust them
             mparams.n_gpu_layers          = llama_model_default_params().n_gpu_layers;
             mparams.tensor_split          = fit_tensor_split.data();
             mparams.tensor_buft_overrides = fit_overrides.data();
@@ -2238,7 +2246,7 @@ int main(int argc, char ** argv) {
             uint32_t n_ctx_needed = inst.n_prompt + inst.n_gen + inst.n_depth;
             cparams.n_ctx = std::max(cparams.n_ctx, n_ctx_needed);
 
-            llama_params_fit(inst.model.c_str(), &mparams, &cparams,
+            common_fit_params(inst.model.c_str(), &mparams, &cparams,
                 fit_tensor_split.data(),
                 fit_overrides.data(),
                 margins.data(),
diff --git a/tools/mtmd/CMakeLists.txt b/tools/mtmd/CMakeLists.txt
index 6ffdb674d..21d17dbaa 100644
--- a/tools/mtmd/CMakeLists.txt
+++ b/tools/mtmd/CMakeLists.txt
@@ -17,8 +17,11 @@ add_library(mtmd
             models/models.h
             models/cogvlm.cpp
             models/conformer.cpp
+            models/dotsocr.cpp
+            models/gemma4a.cpp
             models/gemma4v.cpp
             models/glm4v.cpp
+            models/granite-speech.cpp
             models/hunyuanocr.cpp
             models/internvl.cpp
             models/kimivl.cpp
@@ -31,11 +34,14 @@ add_library(mtmd
             models/pixtral.cpp
             models/qwen2vl.cpp
             models/qwen3vl.cpp
+            models/qwen3a.cpp
+            models/step3vl.cpp
             models/siglip.cpp
             models/whisper-enc.cpp
             models/deepseekocr.cpp
             models/mobilenetv5.cpp
             models/youtuvl.cpp
+            models/yasa2.cpp
             )
 
 set_target_properties(mtmd PROPERTIES
@@ -77,17 +83,22 @@ if (NOT MSVC)
     target_compile_options(mtmd PRIVATE -Wno-cast-qual)
 endif()
 
+if (ANDROID)
+    # miniaudio.h defines ma_android_sdk_version() without a prior prototype
+    target_compile_options(mtmd PRIVATE -Wno-missing-prototypes)
+endif()
+
 if (TARGET BUILD_INFO)
     add_dependencies(mtmd        BUILD_INFO)
     add_dependencies(mtmd-helper BUILD_INFO)
 endif()
 
-# if mtmd is linked against common, we throw an error
+# if mtmd is linked against llama-common, we throw an error
 if (TARGET mtmd)
     get_target_property(libs mtmd LINK_LIBRARIES)
-    if (libs AND "common" IN_LIST libs)
+    if (libs AND "llama-common" IN_LIST libs)
         message(FATAL_ERROR "mtmd is designed to be a public library.\n"
-                            "It must not link against common")
+                            "It must not link against llama-common")
     endif()
 endif()
 
@@ -102,11 +113,11 @@ set_target_properties  (${TARGET} PROPERTIES OUTPUT_NAME llama-mtmd-cli)
 if(LLAMA_TOOLS_INSTALL)
     install(TARGETS ${TARGET} RUNTIME)
 endif()
-target_link_libraries  (${TARGET} PRIVATE common mtmd Threads::Threads)
+target_link_libraries  (${TARGET} PRIVATE llama-common mtmd Threads::Threads)
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 # mtmd-debug tool
 add_executable(llama-mtmd-debug debug/mtmd-debug.cpp)
 set_target_properties(llama-mtmd-debug PROPERTIES OUTPUT_NAME llama-mtmd-debug)
-target_link_libraries(llama-mtmd-debug PRIVATE common mtmd Threads::Threads)
+target_link_libraries(llama-mtmd-debug PRIVATE llama-common mtmd Threads::Threads)
 target_compile_features(llama-mtmd-debug PRIVATE cxx_std_17)
diff --git a/tools/mtmd/README.md b/tools/mtmd/README.md
index ef31d1957..701941947 100644
--- a/tools/mtmd/README.md
+++ b/tools/mtmd/README.md
@@ -49,6 +49,7 @@ For the following models, you can use `convert_hf_to_gguf.py` with `--mmproj` fl
 - Qwen 2 VL and Qwen 2.5 VL (from [Qwen](https://huggingface.co/Qwen))
 - [Mistral Small 3.1 24B](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503)
 - InternVL 2.5 and InternVL 3 from [OpenGVLab](https://huggingface.co/OpenGVLab) (note: we don't support conversion of `InternVL3-*-hf` model, only non-HF version is supported ; `InternLM2Model` **text** model is not supported)
+- [MiniCPM-V 4.6](https://huggingface.co/openbmb/MiniCPM-V-4_6) ; See the guide [here](../../docs/multimodal/minicpmv4.6.md) - requires the standard `transformers` v5.7.0+ checkpoint
 
 For older models, please refer to the relevant guide for instructions on how to obtain or create them:
 
@@ -60,4 +61,7 @@ NOTE: conversion scripts are located under `tools/mtmd/legacy-models`
 - [MiniCPM-V 2.5](../../docs/multimodal/minicpmv2.5.md)
 - [MiniCPM-V 2.6](../../docs/multimodal/minicpmv2.6.md)
 - [MiniCPM-o 2.6](../../docs/multimodal/minicpmo2.6.md)
+- [MiniCPM-V 4.0](../../docs/multimodal/minicpmv4.0.md)
+- [MiniCPM-o 4.0](../../docs/multimodal/minicpmo4.0.md)
+- [MiniCPM-V 4.5](../../docs/multimodal/minicpmv4.5.md)
 - [IBM Granite Vision](../../docs/multimodal/granitevision.md)
diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h
index 81b92841c..817bf26b2 100644
--- a/tools/mtmd/clip-impl.h
+++ b/tools/mtmd/clip-impl.h
@@ -60,9 +60,15 @@
 #define KEY_SAM_N_BLOCK            "clip.vision.sam.block_count"
 #define KEY_SAM_N_EMBD             "clip.vision.sam.embedding_length"
 // audio-specific
-#define KEY_AUDIO_PROJ_TYPE     "clip.audio.projector_type" // for models with mixed modalities
-#define KEY_A_NUM_MEL_BINS      "clip.audio.num_mel_bins"
-#define KEY_A_PROJ_STACK_FACTOR "clip.audio.projector.stack_factor"
+#define KEY_AUDIO_PROJ_TYPE        "clip.audio.projector_type" // for models with mixed modalities
+#define KEY_A_NUM_MEL_BINS         "clip.audio.num_mel_bins"
+#define KEY_A_PROJ_STACK_FACTOR    "clip.audio.projector.stack_factor"
+#define KEY_A_CHUNK_SIZE           "clip.audio.chunk_size"
+#define KEY_A_CONV_KERNEL_SIZE     "clip.audio.conv_kernel_size"
+#define KEY_A_MAX_POS_EMB          "clip.audio.max_pos_emb"
+#define KEY_A_PROJ_WINDOW_SIZE     "clip.audio.projector.window_size"
+#define KEY_A_PROJ_DOWNSAMPLE_RATE "clip.audio.projector.downsample_rate"
+#define KEY_A_PROJ_HEAD_COUNT      "clip.audio.projector.head_count"
 
 
 //
@@ -126,6 +132,17 @@
 #define TN_MINICPMV_ATTN       "resampler.attn.%s.%s"
 #define TN_MINICPMV_LN         "resampler.ln_%s.%s"
 
+// MiniCPM-V 4.6 ViT merger (window attention + MLP downsample),
+// matching the upstream `vit_merger` module name in transformers.
+#define TN_VIT_MERGER_LN1      "v.vit_merger.ln1.%s"
+#define TN_VIT_MERGER_ATTN_Q   "v.vit_merger.attn_q.%s"
+#define TN_VIT_MERGER_ATTN_K   "v.vit_merger.attn_k.%s"
+#define TN_VIT_MERGER_ATTN_V   "v.vit_merger.attn_v.%s"
+#define TN_VIT_MERGER_ATTN_O   "v.vit_merger.attn_out.%s"
+#define TN_VIT_MERGER_DS_LN    "v.vit_merger.ds_ln.%s"
+#define TN_VIT_MERGER_DS_UP    "v.vit_merger.ds_ffn_up.%s"
+#define TN_VIT_MERGER_DS_DOWN  "v.vit_merger.ds_ffn_down.%s"
+
 #define TN_GLM_ADAPER_CONV      "adapter.conv.%s"
 #define TN_GLM_ADAPTER_LINEAR   "adapter.linear.linear.%s"
 #define TN_GLM_ADAPTER_NORM_1   "adapter.linear.norm1.%s"
@@ -135,6 +152,8 @@
 
 // ultravox
 #define TN_CONV1D       "a.conv1d.%d.%s"
+#define TN_CONV2D       "a.conv2d.%d.%s"
+#define TN_CONV_OUT     "a.conv_out.%s"
 #define TN_MM_AUDIO_MLP "mm.a.mlp.%d.%s"
 #define TN_MM_AUDIO_FC  "mm.a.fc.%s" // fully connected layer
 #define TN_MM_NORM_PRE  "mm.a.norm_pre.%s"
@@ -148,7 +167,7 @@
 #define TN_TOK_BOI         "v.boi"
 #define TN_TOK_EOI         "v.eoi"
 
-// hunyuanocr
+// hunyuanocr / hunyuanvl (shared GGUF tensor names)
 #define TN_MM_PRE_NORM     "mm.pre_norm.%s"
 #define TN_TOK_IMG_BEGIN   "mm.image_begin"
 #define TN_TOK_IMG_END     "mm.image_end"
@@ -180,6 +199,42 @@
 #define TN_CONV_NORM       "%s.blk.%d.conv_norm.%s"
 #define TN_CONV_PW1        "%s.blk.%d.conv_pw1.%s"
 #define TN_CONV_PW2        "%s.blk.%d.conv_pw2.%s"
+#define TN_INP_PROJ        "a.input_projection.%s"
+#define TN_CTC_OUT         "a.enc_ctc_out.%s"
+#define TN_CTC_OUT_MID     "a.enc_ctc_out_mid.%s"
+#define TN_ATTN_REL_POS_EMB "%s.blk.%d.attn_rel_pos_emb"
+// qformer projector
+#define TN_QF_PROJ_QUERY   "a.proj_query"
+#define TN_QF_PROJ_NORM    "a.proj_norm.%s"
+#define TN_QF_PROJ_LINEAR  "a.proj_linear.%s"
+#define TN_QF_SELF_ATTN_Q  "a.proj_blk.%d.self_attn_q.%s"
+#define TN_QF_SELF_ATTN_K  "a.proj_blk.%d.self_attn_k.%s"
+#define TN_QF_SELF_ATTN_V  "a.proj_blk.%d.self_attn_v.%s"
+#define TN_QF_SELF_ATTN_O  "a.proj_blk.%d.self_attn_out.%s"
+#define TN_QF_SELF_ATTN_N  "a.proj_blk.%d.self_attn_norm.%s"
+#define TN_QF_CROSS_ATTN_Q "a.proj_blk.%d.cross_attn_q.%s"
+#define TN_QF_CROSS_ATTN_K "a.proj_blk.%d.cross_attn_k.%s"
+#define TN_QF_CROSS_ATTN_V "a.proj_blk.%d.cross_attn_v.%s"
+#define TN_QF_CROSS_ATTN_O "a.proj_blk.%d.cross_attn_out.%s"
+#define TN_QF_CROSS_ATTN_N "a.proj_blk.%d.cross_attn_norm.%s"
+#define TN_QF_FFN_UP       "a.proj_blk.%d.ffn_up.%s"
+#define TN_QF_FFN_DOWN     "a.proj_blk.%d.ffn_down.%s"
+#define TN_QF_FFN_NORM     "a.proj_blk.%d.ffn_norm.%s"
+
+// gemma4 audio conformer
+#define TN_A_MM_INP_PROJ     "mm.a.input_projection.%s"
+#define TN_A_MM_SOFT_EMB_N   "mm.a.soft_emb_norm.%s"
+#define TN_A_INP_PROJ        "a.input_projection.%s"
+#define TN_A_CONV1D          "a.conv1d.%d.%s"
+#define TN_A_CONV1D_NORM     "a.conv1d.%d.norm.%s"
+#define TN_A_OUT_PROJ        "a.pre_encode.out.%s"
+#define TN_A_ATTN_PRE_NORM   "%s.blk.%d.attn_pre_norm.%s"
+#define TN_A_ATTN_POST_NORM  "%s.blk.%d.attn_post_norm.%s"
+#define TN_A_ATTN_K_REL      "%s.blk.%d.attn_k_rel.%s"
+#define TN_A_PER_DIM_SCALE   "%s.blk.%d.per_dim_scale.%s"
+#define TN_A_PER_DIM_K_SCALE "%s.blk.%d.per_dim_k_scale.%s"
+#define TN_A_FFN_POST_NORM   "%s.blk.%d.ffn_post_norm.%s"
+#define TN_A_FFN_POST_NORM_1 "%s.blk.%d.ffn_post_norm_1.%s"
 
 // mobilenetv5 (gemma3n) definitions
 #define TN_MNV5_STEM_CONV        "v.conv_stem.conv.weight"
@@ -225,6 +280,15 @@
 #define TN_STD_BIAS              "v.std_bias"
 #define TN_STD_SCALE             "v.std_scale"
 
+// yasa2
+#define TN_YASA_PATCH_LN_W       "v.patch_ln.weight"
+#define TN_YASA_PATCH_LN_B       "v.patch_ln.bias"
+#define TN_YASA_BACKBONE_LN_W    "v.backbone_ln.weight"
+#define TN_YASA_BACKBONE_LN_B    "v.backbone_ln.bias"
+#define TN_YASA_POS_EMBD         "v.vision_pos_embed"
+#define TN_YASA_STAGE_DOWN_LN    "v.stage.%d.down.ln.%s"
+#define TN_YASA_STAGE_DOWN_CONV  "v.stage.%d.down.conv.%s"
+#define TN_YASA_STAGE_BLK        "v.stage.%d.blk.%d.%s.%s"
 
 // align x to upper multiple of n
 #define CLIP_ALIGN(x, n) ((((x) + (n) - 1) / (n)) * (n))
@@ -242,6 +306,7 @@ enum projector_type {
     PROJECTOR_TYPE_GLM_EDGE,
     PROJECTOR_TYPE_QWEN2VL,
     PROJECTOR_TYPE_QWEN3VL,
+    PROJECTOR_TYPE_STEP3VL,
     PROJECTOR_TYPE_GEMMA3,
     PROJECTOR_TYPE_GEMMA3NV,
     PROJECTOR_TYPE_GEMMA3NA,
@@ -255,9 +320,11 @@ enum projector_type {
     PROJECTOR_TYPE_INTERNVL,
     PROJECTOR_TYPE_LLAMA4,
     PROJECTOR_TYPE_QWEN2A,
+    PROJECTOR_TYPE_QWEN3A,
     PROJECTOR_TYPE_GLMA,
     PROJECTOR_TYPE_QWEN25O, // will be replaced by QWEN2A or QWEN25VL depending on clip_ctx
     PROJECTOR_TYPE_VOXTRAL,
+    PROJECTOR_TYPE_MERALION,
     PROJECTOR_TYPE_MUSIC_FLAMINGO,
     PROJECTOR_TYPE_LFM2,
     PROJECTOR_TYPE_KIMIVL,
@@ -265,13 +332,18 @@ enum projector_type {
     PROJECTOR_TYPE_LIGHTONOCR,
     PROJECTOR_TYPE_COGVLM,
     PROJECTOR_TYPE_JANUS_PRO,
+    PROJECTOR_TYPE_DOTS_OCR,
     PROJECTOR_TYPE_DEEPSEEKOCR,
     PROJECTOR_TYPE_LFM2A,
     PROJECTOR_TYPE_GLM4V,
     PROJECTOR_TYPE_YOUTUVL,
+    PROJECTOR_TYPE_YASA2,
     PROJECTOR_TYPE_KIMIK25,
     PROJECTOR_TYPE_NEMOTRON_V2_VL,
     PROJECTOR_TYPE_HUNYUANOCR,
+    PROJECTOR_TYPE_HUNYUANVL,
+    PROJECTOR_TYPE_MINICPMV4_6,
+    PROJECTOR_TYPE_GRANITE_SPEECH,
     PROJECTOR_TYPE_UNKNOWN,
 };
 
@@ -284,6 +356,7 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_QWEN2VL,   "qwen2vl_merger"},
     { PROJECTOR_TYPE_QWEN25VL,  "qwen2.5vl_merger"},
     { PROJECTOR_TYPE_QWEN3VL,   "qwen3vl_merger"},
+    { PROJECTOR_TYPE_STEP3VL,   "step3vl"},
     { PROJECTOR_TYPE_GEMMA3,    "gemma3"},
     { PROJECTOR_TYPE_GEMMA3NV,  "gemma3nv"},
     { PROJECTOR_TYPE_GEMMA3NA,  "gemma3na"},
@@ -296,9 +369,11 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_INTERNVL,  "internvl"},
     { PROJECTOR_TYPE_LLAMA4,    "llama4"},
     { PROJECTOR_TYPE_QWEN2A,    "qwen2a"},
+    { PROJECTOR_TYPE_QWEN3A,    "qwen3a"},
     { PROJECTOR_TYPE_GLMA,      "glma"},
     { PROJECTOR_TYPE_QWEN25O,   "qwen2.5o"},
     { PROJECTOR_TYPE_VOXTRAL,   "voxtral"},
+    { PROJECTOR_TYPE_MERALION,  "meralion"},
     { PROJECTOR_TYPE_MUSIC_FLAMINGO, "musicflamingo"},
     { PROJECTOR_TYPE_LFM2,      "lfm2"},
     { PROJECTOR_TYPE_KIMIVL,    "kimivl"},
@@ -306,13 +381,18 @@ static std::map<projector_type, std::string> PROJECTOR_TYPE_NAMES = {
     { PROJECTOR_TYPE_LIGHTONOCR,"lightonocr"},
     { PROJECTOR_TYPE_COGVLM,    "cogvlm"},
     { PROJECTOR_TYPE_JANUS_PRO, "janus_pro"},
+    { PROJECTOR_TYPE_DOTS_OCR,  "dots_ocr"},
     { PROJECTOR_TYPE_DEEPSEEKOCR,"deepseekocr"},
     { PROJECTOR_TYPE_LFM2A,     "lfm2a"},
     { PROJECTOR_TYPE_GLM4V,     "glm4v"},
     { PROJECTOR_TYPE_YOUTUVL,   "youtuvl"},
+    { PROJECTOR_TYPE_YASA2,     "yasa2"},
     { PROJECTOR_TYPE_KIMIK25,   "kimik25"},
     { PROJECTOR_TYPE_NEMOTRON_V2_VL, "nemotron_v2_vl"},
     { PROJECTOR_TYPE_HUNYUANOCR, "hunyuanocr"},
+    { PROJECTOR_TYPE_HUNYUANVL,  "hunyuanvl"},
+    { PROJECTOR_TYPE_MINICPMV4_6, "minicpmv4_6"},
+    { PROJECTOR_TYPE_GRANITE_SPEECH, "granite_speech"},
 };
 
 static projector_type clip_projector_type_from_string(const std::string & str) {
diff --git a/tools/mtmd/clip-model.h b/tools/mtmd/clip-model.h
index b85c4122e..48f8b1a19 100644
--- a/tools/mtmd/clip-model.h
+++ b/tools/mtmd/clip-model.h
@@ -79,7 +79,6 @@ struct clip_hparams {
 
     float eps = 1e-6;
     float rope_theta = 0.0;
-
     std::unordered_set<int32_t> vision_feature_layer;
     int32_t attn_window_size = 0;
     int32_t n_wa_pattern = 0;
@@ -93,6 +92,12 @@ struct clip_hparams {
     // audio
     int32_t n_mel_bins = 0; // whisper preprocessor
     int32_t proj_stack_factor = 0; // ultravox
+    int32_t audio_chunk_size           = 0;
+    int32_t audio_conv_kernel_size     = 0;
+    int32_t audio_max_pos_emb          = 0;
+    int32_t audio_proj_window_size     = 0;
+    int32_t audio_proj_downsample_rate = 0;
+    int32_t audio_proj_head_count      = 0;
 
     // audio-to-mel preprocessor params
     int32_t audio_chunk_len   = -1; // in seconds
@@ -105,6 +110,7 @@ struct clip_hparams {
     bool has_llava_projector = false;
     int minicpmv_version = 0;
     int32_t minicpmv_query_num = 0;         // MiniCPM-V query number
+    int32_t insert_layer_id   = 0;          // MiniCPM-V 4.6 ViT merger insertion layer
 
     // custom value provided by user, can be undefined if not set
     int32_t custom_image_min_tokens = -1;
@@ -218,6 +224,28 @@ struct clip_layer {
     ggml_tensor * conv_pw2_w    = nullptr;
     ggml_tensor * conv_pw2_b    = nullptr;
 
+    // gemma4 audio conformer per-layer
+    ggml_tensor * attn_pre_norm_w   = nullptr;
+    ggml_tensor * attn_k_rel_w      = nullptr;
+    ggml_tensor * per_dim_scale_w   = nullptr;
+    ggml_tensor * per_dim_k_scale_w = nullptr;
+    ggml_tensor * ff_post_norm_1_w  = nullptr;
+
+    // granite_speech conformer per-layer
+    ggml_tensor * attn_rel_pos_emb = nullptr;
+
+    // granite_speech qformer cross-attention
+    ggml_tensor * cross_attn_q_w    = nullptr;
+    ggml_tensor * cross_attn_q_b    = nullptr;
+    ggml_tensor * cross_attn_k_w    = nullptr;
+    ggml_tensor * cross_attn_k_b    = nullptr;
+    ggml_tensor * cross_attn_v_w    = nullptr;
+    ggml_tensor * cross_attn_v_b    = nullptr;
+    ggml_tensor * cross_attn_o_w    = nullptr;
+    ggml_tensor * cross_attn_o_b    = nullptr;
+    ggml_tensor * cross_attn_norm_w = nullptr;
+    ggml_tensor * cross_attn_norm_b = nullptr;
+
     bool has_deepstack() const {
         return deepstack_fc1_w != nullptr;
     }
@@ -262,6 +290,27 @@ struct mobilenetv5_block {
     ggml_tensor * attn_norm_w   = nullptr;
 };
 
+struct yasa2_block {
+    ggml_tensor * dw_w  = nullptr;
+    ggml_tensor * dw_b  = nullptr;
+    ggml_tensor * ln_w  = nullptr;
+    ggml_tensor * ln_b  = nullptr;
+    ggml_tensor * pw1_w = nullptr;
+    ggml_tensor * pw1_b = nullptr;
+    ggml_tensor * grn_w = nullptr;
+    ggml_tensor * grn_b = nullptr;
+    ggml_tensor * pw2_w = nullptr;
+    ggml_tensor * pw2_b = nullptr;
+};
+
+struct yasa2_stage {
+    ggml_tensor * down_ln_w   = nullptr;
+    ggml_tensor * down_ln_b   = nullptr;
+    ggml_tensor * down_conv_w = nullptr;
+    ggml_tensor * down_conv_b = nullptr;
+    std::vector<yasa2_block> blocks;
+};
+
 struct clip_model {
     clip_modality modality = CLIP_MODALITY_VISION;
     projector_type proj_type = PROJECTOR_TYPE_MLP;
@@ -376,6 +425,24 @@ struct clip_model {
     ggml_tensor * mm_model_ln_post_w = nullptr;
     ggml_tensor * mm_model_ln_post_b = nullptr;
 
+    // MiniCPM-V 4.6 ViT merger (window self-attention + ViT MLP downsample)
+    ggml_tensor * vit_merger_ln1_w     = nullptr;
+    ggml_tensor * vit_merger_ln1_b     = nullptr;
+    ggml_tensor * vit_merger_attn_q_w  = nullptr;
+    ggml_tensor * vit_merger_attn_q_b  = nullptr;
+    ggml_tensor * vit_merger_attn_k_w  = nullptr;
+    ggml_tensor * vit_merger_attn_k_b  = nullptr;
+    ggml_tensor * vit_merger_attn_v_w  = nullptr;
+    ggml_tensor * vit_merger_attn_v_b  = nullptr;
+    ggml_tensor * vit_merger_attn_o_w  = nullptr;
+    ggml_tensor * vit_merger_attn_o_b  = nullptr;
+    ggml_tensor * vit_merger_ds_ln_w   = nullptr;
+    ggml_tensor * vit_merger_ds_ln_b   = nullptr;
+    ggml_tensor * vit_merger_ds_up_w   = nullptr;
+    ggml_tensor * vit_merger_ds_up_b   = nullptr;
+    ggml_tensor * vit_merger_ds_down_w = nullptr;
+    ggml_tensor * vit_merger_ds_down_b = nullptr;
+
     // gemma3
     ggml_tensor * mm_input_proj_w = nullptr;
     ggml_tensor * mm_soft_emb_norm_w = nullptr;
@@ -396,6 +463,15 @@ struct clip_model {
     ggml_tensor * msfa_ffn_expand_bn = nullptr;
     ggml_tensor * msfa_ffn_project_bn = nullptr;
 
+    // yasa2
+    ggml_tensor * yasa_patch_w = nullptr;
+    ggml_tensor * yasa_patch_b = nullptr;
+    ggml_tensor * yasa_patch_ln_w = nullptr;
+    ggml_tensor * yasa_patch_ln_b = nullptr;
+    ggml_tensor * yasa_backbone_ln_w = nullptr;
+    ggml_tensor * yasa_backbone_ln_b = nullptr;
+    ggml_tensor * yasa_vision_pos_embed = nullptr;
+    std::vector<yasa2_stage> yasa_stages;
 
     // pixtral, glm4v
     ggml_tensor * token_embd_img_break = nullptr;
@@ -407,10 +483,20 @@ struct clip_model {
     ggml_tensor * conv1d_1_b = nullptr;
     ggml_tensor * conv1d_2_w = nullptr;
     ggml_tensor * conv1d_2_b = nullptr;
+    ggml_tensor * conv_out_w = nullptr;
+    ggml_tensor * conv_out_b = nullptr;
     ggml_tensor * mm_norm_pre_w = nullptr;
     ggml_tensor * mm_norm_pre_b = nullptr;
     ggml_tensor * mm_norm_mid_w = nullptr;
 
+    // qwen3a
+    ggml_tensor * conv2d_1_w = nullptr;
+    ggml_tensor * conv2d_1_b = nullptr;
+    ggml_tensor * conv2d_2_w = nullptr;
+    ggml_tensor * conv2d_2_b = nullptr;
+    ggml_tensor * conv2d_3_w = nullptr;
+    ggml_tensor * conv2d_3_b = nullptr;
+
     // cogvlm
     ggml_tensor * mm_post_fc_norm_w = nullptr;
     ggml_tensor * mm_post_fc_norm_b = nullptr;
@@ -460,6 +546,30 @@ struct clip_model {
     };
     std::map<std::string, clamp_info> clamp_info_map;
 
+    // gemma4 audio conformer
+    std::array<ggml_tensor *, 2> sscp_conv_w = {nullptr};
+    std::array<ggml_tensor *, 2> sscp_conv_b = {nullptr};
+    std::array<ggml_tensor *, 2> sscp_norm_w = {nullptr};
+    ggml_tensor * sscp_inp_proj_w = nullptr;
+    ggml_tensor * sscp_inp_proj_b = nullptr;
+    ggml_tensor * audio_out_proj_w = nullptr;
+    ggml_tensor * audio_out_proj_b = nullptr;
+
+    // granite_speech encoder
+    ggml_tensor * inp_proj_w    = nullptr;
+    ggml_tensor * inp_proj_b    = nullptr;
+    ggml_tensor * ctc_out_w     = nullptr;
+    ggml_tensor * ctc_out_b     = nullptr;
+    ggml_tensor * ctc_out_mid_w = nullptr;
+    ggml_tensor * ctc_out_mid_b = nullptr;
+    // qformer projector
+    ggml_tensor * qf_proj_query    = nullptr;
+    ggml_tensor * qf_proj_norm_w   = nullptr;
+    ggml_tensor * qf_proj_norm_b   = nullptr;
+    ggml_tensor * qf_proj_linear_w = nullptr;
+    ggml_tensor * qf_proj_linear_b = nullptr;
+    std::vector<clip_layer> qf_proj_layers;
+
     bool audio_has_avgpool() const {
         return proj_type == PROJECTOR_TYPE_QWEN2A
             || proj_type == PROJECTOR_TYPE_VOXTRAL
@@ -468,7 +578,8 @@ struct clip_model {
 
     bool audio_has_stack_frames() const {
         return proj_type == PROJECTOR_TYPE_ULTRAVOX
-            || proj_type == PROJECTOR_TYPE_VOXTRAL;
+            || proj_type == PROJECTOR_TYPE_VOXTRAL
+            || proj_type == PROJECTOR_TYPE_MERALION;
     }
 };
 
diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp
index 2faf595a9..513b94f2a 100644
--- a/tools/mtmd/clip.cpp
+++ b/tools/mtmd/clip.cpp
@@ -853,6 +853,10 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_pixtral>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_DOTS_OCR:
+            {
+                builder = std::make_unique<clip_graph_dotsocr>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_QWEN2VL:
         case PROJECTOR_TYPE_QWEN25VL:
             {
@@ -862,10 +866,18 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_qwen3vl>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                builder = std::make_unique<clip_graph_step3vl>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_MINICPMV:
             {
                 builder = std::make_unique<clip_graph_minicpmv>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_MINICPMV4_6:
+            {
+                builder = std::make_unique<clip_graph_minicpmv4_6>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_INTERNVL:
             {
                 builder = std::make_unique<clip_graph_internvl>(ctx, img);
@@ -882,6 +894,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_QWEN2A:
         case PROJECTOR_TYPE_GLMA:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             {
                 builder = std::make_unique<clip_graph_whisper_enc>(ctx, img);
@@ -903,6 +916,7 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
                 builder = std::make_unique<clip_graph_cogvlm>(ctx, img);
             } break;
         case PROJECTOR_TYPE_HUNYUANOCR:
+        case PROJECTOR_TYPE_HUNYUANVL:
             {
                 builder = std::make_unique<clip_graph_hunyuanocr>(ctx, img);
             } break;
@@ -922,14 +936,30 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
             {
                 builder = std::make_unique<clip_graph_conformer>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                builder = std::make_unique<clip_graph_gemma4a>(ctx, img);
+            } break;
+        case PROJECTOR_TYPE_GRANITE_SPEECH:
+            {
+                builder = std::make_unique<clip_graph_granite_speech>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_GLM4V:
             {
                 builder = std::make_unique<clip_graph_glm4v>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_QWEN3A:
+            {
+                builder = std::make_unique<clip_graph_qwen3a>(ctx, img);
+            } break;
         case PROJECTOR_TYPE_YOUTUVL:
             {
                 builder = std::make_unique<clip_graph_youtuvl>(ctx, img);
             } break;
+        case PROJECTOR_TYPE_YASA2:
+            {
+                builder = std::make_unique<clip_graph_yasa2>(ctx, img);
+            } break;
         default:
             GGML_ABORT("missing cgraph builder");
     }
@@ -1205,6 +1235,20 @@ struct clip_model_loader {
                             hparams.minicpmv_version = 2; // default to 2 if not set
                         }
                     } break;
+                case PROJECTOR_TYPE_MINICPMV4_6:
+                    {
+                        // MiniCPM-V 4.6 unified merger projector
+                        // ViT merger 2x2 + final merger 2x2 = 4x spatial merge per dimension
+                        hparams.n_merge = 4;
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
+
+                        // borrow wa_layer_indexes for vit_merger insertion point
+                        std::vector<int> wa_layer_indexes_vec;
+                        get_arr_int(KEY_WIN_ATTN_LAYER_INDEXES, wa_layer_indexes_vec, false);
+                        if (!wa_layer_indexes_vec.empty()) {
+                            hparams.insert_layer_id = wa_layer_indexes_vec[0];
+                        }
+                    } break;
                 case PROJECTOR_TYPE_INTERNVL:
                     {
                         // use default llava-uhd preprocessing params
@@ -1265,6 +1309,14 @@ struct clip_model_loader {
                         get_u32(KEY_PREPROC_IMAGE_SIZE, hparams.image_longest_edge, false);
                         hparams.set_warmup_n_tokens(256); // avoid OOM on warmup
                     } break;
+                case PROJECTOR_TYPE_DOTS_OCR:
+                    {
+                        hparams.rope_theta = 10000.0f;
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge);
+                        get_u32(KEY_IMAGE_MIN_PIXELS, hparams.image_min_pixels);
+                        get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
+                        hparams.set_warmup_n_tokens(46*46); // avoid OOM on warmup
+                    } break;
                 case PROJECTOR_TYPE_KIMIVL:
                     {
                         hparams.image_resize_algo = RESIZE_ALGO_BILINEAR;
@@ -1337,6 +1389,17 @@ struct clip_model_loader {
                             LOG_WRN("%s: more info: https://github.com/ggml-org/llama.cpp/issues/16842\n\n", __func__);
                         }
                     } break;
+                case PROJECTOR_TYPE_STEP3VL:
+                    {
+                        hparams.n_merge = 4; // two stride-2 downsamplers after patching
+                        get_u32(KEY_PROJ_SCALE_FACTOR, hparams.n_merge, false);
+                        hparams.rope_theta = 10000.0f;
+                        get_u32(KEY_PREPROC_IMAGE_SIZE, hparams.image_longest_edge, false);
+                        if (hparams.image_longest_edge == 0) {
+                            hparams.image_longest_edge = 3024;
+                        }
+                        hparams.warmup_image_size = hparams.image_size;
+                    } break;
                 case PROJECTOR_TYPE_YOUTUVL:
                     {
                         hparams.n_merge = 2;
@@ -1353,6 +1416,16 @@ struct clip_model_loader {
                         hparams.set_limit_image_tokens(1, 62500);
                         hparams.set_warmup_n_tokens(16*16); // avoid OOM on warmup
                     } break;
+                case PROJECTOR_TYPE_YASA2:
+                    {
+                        hparams.ffn_op = FFN_GELU_ERF;
+                        log_ffn_op = "gelu_erf";
+                        hparams.image_resize_algo = RESIZE_ALGO_BICUBIC;
+
+                        // reka model performs better when using resize_bicubic, which stretches
+                        // the image to fit fixed square size
+                        hparams.image_resize_pad = false;
+                    } break;
                 case PROJECTOR_TYPE_GLM4V:
                     {
                         hparams.rope_theta = 10000.0f;
@@ -1370,12 +1443,15 @@ struct clip_model_loader {
                     } break;
                 case PROJECTOR_TYPE_ULTRAVOX:
                 case PROJECTOR_TYPE_QWEN2A:
+                case PROJECTOR_TYPE_QWEN3A:
                 case PROJECTOR_TYPE_GLMA:
                 case PROJECTOR_TYPE_VOXTRAL:
+                case PROJECTOR_TYPE_MERALION:
                 case PROJECTOR_TYPE_MUSIC_FLAMINGO:
                     {
                         bool require_stack = model.proj_type == PROJECTOR_TYPE_ULTRAVOX ||
                                              model.proj_type == PROJECTOR_TYPE_VOXTRAL ||
+                                             model.proj_type == PROJECTOR_TYPE_MERALION ||
                                              model.proj_type == PROJECTOR_TYPE_GLMA;
                         get_u32(KEY_A_PROJ_STACK_FACTOR, hparams.proj_stack_factor, require_stack);
                         hparams.ffn_op = FFN_GELU_ERF;
@@ -1420,6 +1496,16 @@ struct clip_model_loader {
                         get_u32(KEY_IMAGE_MAX_PIXELS, hparams.image_max_pixels);
                         hparams.set_warmup_n_tokens(28*28);
                     } break;
+                case PROJECTOR_TYPE_HUNYUANVL:
+                    {
+                        hparams.n_merge = 2;
+                        hparams.image_resize_algo = RESIZE_ALGO_BICUBIC_PILLOW;
+                        hparams.image_resize_pad = false;
+                        hparams.ffn_op = FFN_GELU;
+                        get_u32(KEY_SPATIAL_MERGE_SIZE, hparams.n_merge, false);
+                        hparams.set_limit_image_tokens(256, 16384);
+                        hparams.set_warmup_n_tokens(32*32);
+                    } break;
                 case PROJECTOR_TYPE_LFM2A:
                     {
                         // audio preprocessing params
@@ -1429,6 +1515,30 @@ struct clip_model_loader {
                         hparams.audio_window_len       = 400;
                         hparams.audio_hop_len          = 160;
                     } break;
+                case PROJECTOR_TYPE_GEMMA4A:
+                    {
+                        // Gemma4 feature_extraction_gemma4.py:
+                        // frame_length_ms=20 -> 320 samples, n_fft=512, hop=10ms -> 160
+                        hparams.audio_chunk_len        = 0;  // no fixed-length padding
+                        hparams.audio_sample_rate      = 16000;
+                        hparams.audio_n_fft            = 512;
+                        hparams.audio_window_len       = 320;  // 20ms frame (NOT 25ms/400)
+                        hparams.audio_hop_len          = 160;
+                    } break;
+                case PROJECTOR_TYPE_GRANITE_SPEECH:
+                    {
+                        hparams.audio_chunk_len        = 0;
+                        hparams.audio_sample_rate      = 16000;
+                        hparams.audio_n_fft            = 512;
+                        hparams.audio_window_len       = 400;
+                        hparams.audio_hop_len          = 160;
+                        get_u32(KEY_A_CHUNK_SIZE,           hparams.audio_chunk_size);
+                        get_u32(KEY_A_CONV_KERNEL_SIZE,     hparams.audio_conv_kernel_size);
+                        get_u32(KEY_A_MAX_POS_EMB,          hparams.audio_max_pos_emb);
+                        get_u32(KEY_A_PROJ_WINDOW_SIZE,     hparams.audio_proj_window_size);
+                        get_u32(KEY_A_PROJ_DOWNSAMPLE_RATE, hparams.audio_proj_downsample_rate);
+                        get_u32(KEY_A_PROJ_HEAD_COUNT,      hparams.audio_proj_head_count);
+                    } break;
                 case PROJECTOR_TYPE_JANUS_PRO:
                     {
                         hparams.image_pad_color   = {127, 127, 127};
@@ -1531,16 +1641,21 @@ struct clip_model_loader {
         }
 
         // helper function
+        std::unordered_set<std::string> loaded_tensor_names;
         auto get_tensor = [&](const std::string & name, bool required = true) {
+            // Each tensor should only be loaded once; duplicates indicate a bug
+            if (loaded_tensor_names.count(name)) {
+                throw std::runtime_error(string_format("%s: tensor already loaded: %s\n", __func__, name.c_str()));
+            }
             ggml_tensor * cur = ggml_get_tensor(ctx_meta.get(), name.c_str());
             if (!cur && required) {
                 throw std::runtime_error(string_format("%s: unable to find tensor %s\n", __func__, name.c_str()));
             }
             if (cur) {
                 tensors_to_load.push_back(cur);
-                // add tensors to context
                 ggml_tensor * data_tensor = ggml_dup_tensor(ctx_clip.ctx_data.get(), cur);
                 ggml_set_name(data_tensor, cur->name);
+                loaded_tensor_names.insert(name);
                 cur = data_tensor;
             }
             return cur;
@@ -1575,13 +1690,13 @@ struct clip_model_loader {
 
         model.position_embeddings = get_tensor(string_format(TN_POS_EMBD, prefix), false);
 
-        if (model.proj_type == PROJECTOR_TYPE_GEMMA3NV) {
-            hparams.n_layer = 0; // gemma3n does not use normal layer structure
-        }
+        const bool has_standard_layers = (
+            model.proj_type != PROJECTOR_TYPE_GEMMA3NV);
 
         // layers
-        model.layers.resize(hparams.n_layer);
-        for (int il = 0; il < hparams.n_layer; ++il) {
+        const int n_layers_to_load = has_standard_layers ? hparams.n_layer : 0;
+        model.layers.resize(n_layers_to_load);
+        for (int il = 0; il < n_layers_to_load; ++il) {
             auto & layer = model.layers[il];
             layer.k_w    = get_tensor(string_format(TN_ATTN_K,      prefix, il, "weight"), false);
             layer.q_w    = get_tensor(string_format(TN_ATTN_Q,      prefix, il, "weight"), false);
@@ -1640,6 +1755,7 @@ struct clip_model_loader {
                     || model.proj_type == PROJECTOR_TYPE_GEMMA3
                     || model.proj_type == PROJECTOR_TYPE_IDEFICS3
                     || model.proj_type == PROJECTOR_TYPE_MINICPMV
+                    || model.proj_type == PROJECTOR_TYPE_MINICPMV4_6
                 ) && layer.ff_up_w && layer.ff_down_w && layer.ff_down_w->ne[0] == hparams.n_embd;
             if (is_ffn_swapped) {
                 // swap up and down weights
@@ -1741,6 +1857,34 @@ struct clip_model_loader {
                     model.mm_model_ln_post_w = get_tensor(string_format(TN_MINICPMV_LN, "post", "weight"));
                     model.mm_model_ln_post_b = get_tensor(string_format(TN_MINICPMV_LN, "post", "bias"));
                 } break;
+            case PROJECTOR_TYPE_MINICPMV4_6:
+                {
+                    // ViT merger: window self-attention
+                    model.vit_merger_ln1_w     = get_tensor(string_format(TN_VIT_MERGER_LN1, "weight"));
+                    model.vit_merger_ln1_b     = get_tensor(string_format(TN_VIT_MERGER_LN1, "bias"));
+                    model.vit_merger_attn_q_w  = get_tensor(string_format(TN_VIT_MERGER_ATTN_Q, "weight"));
+                    model.vit_merger_attn_q_b  = get_tensor(string_format(TN_VIT_MERGER_ATTN_Q, "bias"), false);
+                    model.vit_merger_attn_k_w  = get_tensor(string_format(TN_VIT_MERGER_ATTN_K, "weight"));
+                    model.vit_merger_attn_k_b  = get_tensor(string_format(TN_VIT_MERGER_ATTN_K, "bias"), false);
+                    model.vit_merger_attn_v_w  = get_tensor(string_format(TN_VIT_MERGER_ATTN_V, "weight"));
+                    model.vit_merger_attn_v_b  = get_tensor(string_format(TN_VIT_MERGER_ATTN_V, "bias"), false);
+                    model.vit_merger_attn_o_w  = get_tensor(string_format(TN_VIT_MERGER_ATTN_O, "weight"));
+                    model.vit_merger_attn_o_b  = get_tensor(string_format(TN_VIT_MERGER_ATTN_O, "bias"), false);
+                    // ViT merger: MLP downsample
+                    model.vit_merger_ds_ln_w   = get_tensor(string_format(TN_VIT_MERGER_DS_LN, "weight"));
+                    model.vit_merger_ds_ln_b   = get_tensor(string_format(TN_VIT_MERGER_DS_LN, "bias"));
+                    model.vit_merger_ds_up_w   = get_tensor(string_format(TN_VIT_MERGER_DS_UP, "weight"));
+                    model.vit_merger_ds_up_b   = get_tensor(string_format(TN_VIT_MERGER_DS_UP, "bias"), false);
+                    model.vit_merger_ds_down_w = get_tensor(string_format(TN_VIT_MERGER_DS_DOWN, "weight"));
+                    model.vit_merger_ds_down_b = get_tensor(string_format(TN_VIT_MERGER_DS_DOWN, "bias"), false);
+                    // Final Merger (DownsampleMLP)
+                    model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);
+                    model.mm_input_norm_b = get_tensor(TN_MM_INP_NORM_B, false);
+                    model.mm_ffn_up_w     = get_tensor(string_format(TN_MM_UP,   "weight"));
+                    model.mm_ffn_up_b     = get_tensor(string_format(TN_MM_UP,   "bias"), false);
+                    model.mm_ffn_down_w   = get_tensor(string_format(TN_MM_DOWN, "weight"));
+                    model.mm_ffn_down_b   = get_tensor(string_format(TN_MM_DOWN, "bias"), false);
+                } break;
             case PROJECTOR_TYPE_GLM_EDGE:
                 {
                     model.mm_model_adapter_conv_w = get_tensor(string_format(TN_GLM_ADAPER_CONV, "weight"));
@@ -1769,6 +1913,14 @@ struct clip_model_loader {
                     model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
                     model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
                 } break;
+            case PROJECTOR_TYPE_STEP3VL:
+                {
+                    model.mm_0_w     = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b     = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"), false);
+                    model.mm_1_w     = get_tensor(string_format(TN_LLAVA_PROJ, 1, "weight"));
+                    model.mm_1_b     = get_tensor(string_format(TN_LLAVA_PROJ, 1, "bias"), false);
+                    model.mm_model_proj = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
+                } break;
             case PROJECTOR_TYPE_YOUTUVL:
                 {
                     model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);        // merger.ln_q (RMS norm)
@@ -1777,6 +1929,55 @@ struct clip_model_loader {
                     model.mm_1_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));  // merger.mlp.2
                     model.mm_1_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
                 } break;
+            case PROJECTOR_TYPE_YASA2:
+                {
+                    // reuse tensors already loaded by the common section
+                    // (TN_PATCH_EMBD and TN_PATCH_BIAS have the same tensor names)
+                    GGML_ASSERT(model.patch_embeddings_0 && "yasa2 requires v.patch_embd.weight");
+                    model.yasa_patch_w = model.patch_embeddings_0;
+                    model.yasa_patch_b = model.patch_bias;
+                    model.yasa_patch_ln_w = get_tensor(TN_YASA_PATCH_LN_W, false);
+                    model.yasa_patch_ln_b = get_tensor(TN_YASA_PATCH_LN_B, false);
+                    model.yasa_backbone_ln_w = get_tensor(TN_YASA_BACKBONE_LN_W, false);
+                    model.yasa_backbone_ln_b = get_tensor(TN_YASA_BACKBONE_LN_B, false);
+                    model.yasa_vision_pos_embed = get_tensor(TN_YASA_POS_EMBD, false);
+                    model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"), false);
+                    model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"), false);
+
+                    model.yasa_stages.clear();
+                    for (int s = 0; ; ++s) {
+                        yasa2_stage stage;
+                        stage.down_ln_w   = get_tensor(string_format(TN_YASA_STAGE_DOWN_LN, s, "weight"), false);
+                        stage.down_ln_b   = get_tensor(string_format(TN_YASA_STAGE_DOWN_LN, s, "bias"), false);
+                        stage.down_conv_w = get_tensor(string_format(TN_YASA_STAGE_DOWN_CONV, s, "weight"), false);
+                        stage.down_conv_b = get_tensor(string_format(TN_YASA_STAGE_DOWN_CONV, s, "bias"), false);
+
+                        for (int bi = 0; ; ++bi) {
+                            yasa2_block blk;
+                            blk.dw_w = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "dw", "weight"), false);
+                            if (!blk.dw_w) {
+                                break;
+                            }
+                            blk.dw_b  = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "dw", "bias"), false);
+                            blk.ln_w  = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "ln", "weight"), false);
+                            blk.ln_b  = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "ln", "bias"), false);
+                            blk.pw1_w = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "pw1", "weight"), false);
+                            blk.pw1_b = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "pw1", "bias"), false);
+                            blk.grn_w = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "grn", "weight"), false);
+                            blk.grn_b = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "grn", "bias"), false);
+                            blk.pw2_w = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "pw2", "weight"), false);
+                            blk.pw2_b = get_tensor(string_format(TN_YASA_STAGE_BLK, s, bi, "pw2", "bias"), false);
+                            stage.blocks.push_back(blk);
+                        }
+
+                        if (!stage.down_conv_w && stage.blocks.empty()) {
+                            break;
+                        }
+                        model.yasa_stages.push_back(std::move(stage));
+                    }
+                } break;
             case PROJECTOR_TYPE_GLM4V:
                 {
                     model.mm_fc_w        = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
@@ -1960,6 +2161,17 @@ struct clip_model_loader {
                     model.mm_input_norm_w   = get_tensor(TN_MM_INP_NORM, false);
                     model.mm_patch_merger_w = get_tensor(string_format(TN_MM_PATCH_MERGER, "weight"), false);
                 } break;
+            case PROJECTOR_TYPE_DOTS_OCR:
+                {
+                    model.mm_0_w = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_LLAVA_PROJ, 0, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_LLAVA_PROJ, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_LLAVA_PROJ, 2, "bias"));
+                    model.mm_input_norm_w = get_tensor(TN_MM_INP_NORM);
+                    model.mm_input_norm_b = get_tensor(TN_MM_INP_NORM_B);
+                    // post_trunk_norm: applied after all ViT blocks, before the merger
+                    model.post_ln_w = get_tensor(string_format(TN_MM_POST_NORM, "weight"));
+                } break;
             case PROJECTOR_TYPE_ULTRAVOX:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1971,6 +2183,30 @@ struct clip_model_loader {
                     model.mm_norm_pre_w = get_tensor(string_format(TN_MM_NORM_PRE, "weight"));
                     model.mm_norm_mid_w = get_tensor(string_format(TN_MM_NORM_MID, "weight"));
                 } break;
+            case PROJECTOR_TYPE_MERALION:
+                {
+                    // Whisper encoder conv layers
+                    model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
+                    model.conv1d_1_b = get_tensor(string_format(TN_CONV1D, 1, "bias"));
+                    model.conv1d_2_w = get_tensor(string_format(TN_CONV1D, 2, "weight"));
+                    model.conv1d_2_b = get_tensor(string_format(TN_CONV1D, 2, "bias"));
+                    // MERaLiON adaptor: 4 linear layers + ln_pre
+                    // linear_0 = frame compression (19200->6400) + SiLU
+                    // linear_1 = gate_proj (6400->6400) for GLU
+                    // linear_2 = pool_proj (6400->6400) for GLU
+                    // linear_3 = out_proj  (6400->3584)
+                    model.mm_0_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 0, "weight"));
+                    model.mm_0_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 0, "bias"));
+                    model.mm_1_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "weight"));
+                    model.mm_1_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "bias"));
+                    model.mm_3_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 3, "weight"));
+                    model.mm_3_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 3, "bias"));
+                    // ln_speech (LayerNorm before adaptor)
+                    model.mm_norm_pre_w = get_tensor(string_format(TN_MM_NORM_PRE, "weight"));
+                    model.mm_norm_pre_b = get_tensor(string_format(TN_MM_NORM_PRE, "bias"));
+                } break;
             case PROJECTOR_TYPE_QWEN2A:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -1980,6 +2216,20 @@ struct clip_model_loader {
                     model.mm_fc_w = get_tensor(string_format(TN_MM_AUDIO_FC, "weight"));
                     model.mm_fc_b = get_tensor(string_format(TN_MM_AUDIO_FC, "bias"));
                 } break;
+            case PROJECTOR_TYPE_QWEN3A:
+                {
+                    model.conv2d_1_w = get_tensor(string_format(TN_CONV2D, 1, "weight"));
+                    model.conv2d_1_b = get_tensor(string_format(TN_CONV2D, 1, "bias"));
+                    model.conv2d_2_w = get_tensor(string_format(TN_CONV2D, 2, "weight"));
+                    model.conv2d_2_b = get_tensor(string_format(TN_CONV2D, 2, "bias"));
+                    model.conv2d_3_w = get_tensor(string_format(TN_CONV2D, 3, "weight"));
+                    model.conv2d_3_b = get_tensor(string_format(TN_CONV2D, 3, "bias"));
+                    model.conv_out_w = get_tensor(string_format(TN_CONV_OUT, "weight")); // no bias
+                    model.mm_1_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "weight"));
+                    model.mm_1_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 1, "bias"));
+                    model.mm_2_w = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "weight"));
+                    model.mm_2_b = get_tensor(string_format(TN_MM_AUDIO_MLP, 2, "bias"));
+                } break;
             case PROJECTOR_TYPE_VOXTRAL:
                 {
                     model.conv1d_1_w = get_tensor(string_format(TN_CONV1D, 1, "weight"));
@@ -2048,6 +2298,7 @@ struct clip_model_loader {
                     model.mm_eoi            = get_tensor(TN_TOK_EOI);
                 } break;
             case PROJECTOR_TYPE_HUNYUANOCR:
+            case PROJECTOR_TYPE_HUNYUANVL:
                 {
                     // proj.0 -> mm.0 (conv1), proj.2 -> mm.2 (conv2), mlp -> mm.model.fc (linear)
                     model.mm_0_w            = get_tensor(string_format(TN_LLAVA_PROJ, 0, "weight"));
@@ -2113,6 +2364,76 @@ struct clip_model_loader {
                     model.mm_fc_w        = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
                     model.mm_fc_b        = get_tensor(string_format(TN_MM_PROJECTOR, "bias"));
                  } break;
+            case PROJECTOR_TYPE_GEMMA4A:
+                {
+                    for (int i = 0; i < 2; i++) {
+                        model.sscp_conv_w[i] = get_tensor(string_format(TN_A_CONV1D, i, "weight"));
+                        model.sscp_conv_b[i] = get_tensor(string_format(TN_A_CONV1D, i, "bias"), false);
+                        model.sscp_norm_w[i] = get_tensor(string_format(TN_A_CONV1D_NORM, i, "weight"), false);
+                    }
+                    model.sscp_inp_proj_w = get_tensor(string_format(TN_A_INP_PROJ, "weight"));
+                    model.sscp_inp_proj_b = get_tensor(string_format(TN_A_INP_PROJ, "bias"), false);
+                    model.audio_out_proj_w = get_tensor(string_format(TN_A_OUT_PROJ, "weight"), false);
+                    model.audio_out_proj_b = get_tensor(string_format(TN_A_OUT_PROJ, "bias"), false);
+                    // audio multimodal embedder (mm.a.* namespace, not mm.*)
+                    model.mm_soft_emb_norm_w = get_tensor(string_format(TN_A_MM_SOFT_EMB_N, "weight"), false);
+                    model.mm_input_proj_w    = get_tensor(string_format(TN_A_MM_INP_PROJ, "weight"), false);
+
+                    // Per-layer tensors NOT loaded by the generic loop above
+                    for (int il = 0; il < hparams.n_layer; ++il) {
+                        auto & layer = model.layers[il];
+
+                        // Gemma4 audio conformer-specific tensors
+                        layer.ff_norm_w        = get_tensor(string_format(TN_FFN_NORM, prefix, il, "weight"));
+                        layer.attn_pre_norm_w  = get_tensor(string_format(TN_A_ATTN_PRE_NORM, prefix, il, "weight"), false);
+                        layer.per_dim_scale_w  = get_tensor(string_format(TN_A_PER_DIM_SCALE, prefix, il, "weight"), false);
+                        layer.per_dim_k_scale_w = get_tensor(string_format(TN_A_PER_DIM_K_SCALE, prefix, il, "weight"), false);
+                        layer.attn_k_rel_w     = get_tensor(string_format(TN_A_ATTN_K_REL, prefix, il, "weight"), false);
+
+                        // Convolution module
+                        // Note: conv_norm / norm_conv are swapped in GGUF due to
+                        // upstream tensor_mapping.py, so we load them in reverse order
+                        layer.norm_conv_w  = get_tensor(string_format(TN_CONV_NORM, prefix, il, "weight"), false);
+                        layer.norm_conv_b  = get_tensor(string_format(TN_CONV_NORM, prefix, il, "bias"), false);
+                        layer.conv_pw1_w   = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "weight"));
+                        layer.conv_pw1_b   = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "bias"), false);
+                        layer.conv_dw_w    = get_tensor(string_format(TN_CONV_DW,   prefix, il, "weight"));
+                        layer.conv_dw_b    = get_tensor(string_format(TN_CONV_DW,   prefix, il, "bias"), false);
+                        layer.conv_norm_w  = get_tensor(string_format(TN_NORM_CONV, prefix, il, "weight"), false);
+                        layer.conv_norm_b  = get_tensor(string_format(TN_NORM_CONV, prefix, il, "bias"), false);
+                        layer.conv_pw2_w   = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "weight"));
+                        layer.conv_pw2_b   = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "bias"), false);
+
+                        // FFN2 (second half-step)
+                        layer.ff_norm_1_w      = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "weight"));
+                        layer.ff_up_1_w        = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "weight"));
+                        layer.ff_up_1_b        = get_tensor(string_format(TN_FFN_UP_1, prefix, il, "bias"), false);
+                        layer.ff_down_1_w      = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "weight"));
+                        layer.ff_down_1_b      = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "bias"), false);
+                        layer.ff_post_norm_1_w = get_tensor(string_format(TN_A_FFN_POST_NORM_1, prefix, il, "weight"), false);
+                    }
+
+                    // Load clamp info for ClippableLinear AFTER all tensors are loaded
+                    for (auto * tensor : tensors_to_load) {
+                        std::string name = tensor->name;
+                        if (string_ends_with(name, ".weight")) {
+                            std::string name_inp_max = name;
+                            std::string name_inp_min = name;
+                            std::string name_out_max = name;
+                            std::string name_out_min = name;
+                            string_replace_all(name_inp_max, ".weight", ".input_max");
+                            string_replace_all(name_inp_min, ".weight", ".input_min");
+                            string_replace_all(name_out_max, ".weight", ".output_max");
+                            string_replace_all(name_out_min, ".weight", ".output_min");
+                            model.clamp_info_map[name] = {
+                                get_scalar(name_inp_max, FLT_MAX),
+                                get_scalar(name_inp_min, -FLT_MAX),
+                                get_scalar(name_out_max, FLT_MAX),
+                                get_scalar(name_out_min, -FLT_MAX)
+                            };
+                        }
+                    }
+                } break;
             case PROJECTOR_TYPE_LFM2A:
                 {
                     for (int i : {0, 2, 3, 5, 6}) {
@@ -2159,6 +2480,83 @@ struct clip_model_loader {
                         layer.conv_pw2_b   = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "bias"));
                     }
                 } break;
+            case PROJECTOR_TYPE_GRANITE_SPEECH:
+                {
+                    model.inp_proj_w     = get_tensor(string_format(TN_INP_PROJ,    "weight"));
+                    model.inp_proj_b     = get_tensor(string_format(TN_INP_PROJ,    "bias"));
+                    model.ctc_out_w      = get_tensor(string_format(TN_CTC_OUT,     "weight"));
+                    model.ctc_out_b      = get_tensor(string_format(TN_CTC_OUT,     "bias"));
+                    model.ctc_out_mid_w  = get_tensor(string_format(TN_CTC_OUT_MID, "weight"));
+                    model.ctc_out_mid_b  = get_tensor(string_format(TN_CTC_OUT_MID, "bias"));
+
+                    // per-layer tensors not loaded by the generic loop above
+                    for (int il = 0; il < hparams.n_layer; ++il) {
+                        auto & layer = model.layers[il];
+
+                        layer.attn_rel_pos_emb = get_tensor(string_format(TN_ATTN_REL_POS_EMB, prefix, il));
+
+                        layer.ff_norm_w   = get_tensor(string_format(TN_FFN_NORM,   prefix, il, "weight"));
+                        layer.ff_norm_b   = get_tensor(string_format(TN_FFN_NORM,   prefix, il, "bias"));
+
+                        layer.ff_norm_1_w = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "weight"));
+                        layer.ff_norm_1_b = get_tensor(string_format(TN_FFN_NORM_1, prefix, il, "bias"));
+                        layer.ff_up_1_w   = get_tensor(string_format(TN_FFN_UP_1,   prefix, il, "weight"));
+                        layer.ff_up_1_b   = get_tensor(string_format(TN_FFN_UP_1,   prefix, il, "bias"));
+                        layer.ff_down_1_w = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "weight"));
+                        layer.ff_down_1_b = get_tensor(string_format(TN_FFN_DOWN_1, prefix, il, "bias"));
+
+                        layer.norm_conv_w = get_tensor(string_format(TN_NORM_CONV, prefix, il, "weight"));
+                        layer.norm_conv_b = get_tensor(string_format(TN_NORM_CONV, prefix, il, "bias"));
+                        layer.conv_norm_w = get_tensor(string_format(TN_CONV_NORM, prefix, il, "weight"));
+                        layer.conv_norm_b = get_tensor(string_format(TN_CONV_NORM, prefix, il, "bias"));
+                        layer.conv_dw_w   = get_tensor(string_format(TN_CONV_DW,   prefix, il, "weight"));
+                        layer.conv_pw1_w  = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "weight"));
+                        layer.conv_pw1_b  = get_tensor(string_format(TN_CONV_PW1,  prefix, il, "bias"));
+                        layer.conv_pw2_w  = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "weight"));
+                        layer.conv_pw2_b  = get_tensor(string_format(TN_CONV_PW2,  prefix, il, "bias"));
+                    }
+
+                    model.qf_proj_query    = get_tensor(TN_QF_PROJ_QUERY);
+                    model.qf_proj_norm_w   = get_tensor(string_format(TN_QF_PROJ_NORM, "weight"));
+                    model.qf_proj_norm_b   = get_tensor(string_format(TN_QF_PROJ_NORM, "bias"));
+                    model.qf_proj_linear_w = get_tensor(string_format(TN_QF_PROJ_LINEAR, "weight"));
+                    model.qf_proj_linear_b = get_tensor(string_format(TN_QF_PROJ_LINEAR, "bias"));
+
+                    const int n_proj_layers = 2;
+                    model.qf_proj_layers.resize(n_proj_layers);
+                    for (int il = 0; il < n_proj_layers; ++il) {
+                        auto & pl = model.qf_proj_layers[il];
+
+                        pl.q_w    = get_tensor(string_format(TN_QF_SELF_ATTN_Q, il, "weight"));
+                        pl.q_b    = get_tensor(string_format(TN_QF_SELF_ATTN_Q, il, "bias"));
+                        pl.k_w    = get_tensor(string_format(TN_QF_SELF_ATTN_K, il, "weight"));
+                        pl.k_b    = get_tensor(string_format(TN_QF_SELF_ATTN_K, il, "bias"));
+                        pl.v_w    = get_tensor(string_format(TN_QF_SELF_ATTN_V, il, "weight"));
+                        pl.v_b    = get_tensor(string_format(TN_QF_SELF_ATTN_V, il, "bias"));
+                        pl.o_w    = get_tensor(string_format(TN_QF_SELF_ATTN_O, il, "weight"));
+                        pl.o_b    = get_tensor(string_format(TN_QF_SELF_ATTN_O, il, "bias"));
+                        pl.ln_1_w = get_tensor(string_format(TN_QF_SELF_ATTN_N, il, "weight"));
+                        pl.ln_1_b = get_tensor(string_format(TN_QF_SELF_ATTN_N, il, "bias"));
+
+                        pl.cross_attn_q_w    = get_tensor(string_format(TN_QF_CROSS_ATTN_Q, il, "weight"));
+                        pl.cross_attn_q_b    = get_tensor(string_format(TN_QF_CROSS_ATTN_Q, il, "bias"));
+                        pl.cross_attn_k_w    = get_tensor(string_format(TN_QF_CROSS_ATTN_K, il, "weight"));
+                        pl.cross_attn_k_b    = get_tensor(string_format(TN_QF_CROSS_ATTN_K, il, "bias"));
+                        pl.cross_attn_v_w    = get_tensor(string_format(TN_QF_CROSS_ATTN_V, il, "weight"));
+                        pl.cross_attn_v_b    = get_tensor(string_format(TN_QF_CROSS_ATTN_V, il, "bias"));
+                        pl.cross_attn_o_w    = get_tensor(string_format(TN_QF_CROSS_ATTN_O, il, "weight"));
+                        pl.cross_attn_o_b    = get_tensor(string_format(TN_QF_CROSS_ATTN_O, il, "bias"));
+                        pl.cross_attn_norm_w = get_tensor(string_format(TN_QF_CROSS_ATTN_N, il, "weight"));
+                        pl.cross_attn_norm_b = get_tensor(string_format(TN_QF_CROSS_ATTN_N, il, "bias"));
+
+                        pl.ff_up_w   = get_tensor(string_format(TN_QF_FFN_UP,   il, "weight"));
+                        pl.ff_up_b   = get_tensor(string_format(TN_QF_FFN_UP,   il, "bias"));
+                        pl.ff_down_w = get_tensor(string_format(TN_QF_FFN_DOWN, il, "weight"));
+                        pl.ff_down_b = get_tensor(string_format(TN_QF_FFN_DOWN, il, "bias"));
+                        pl.ln_2_w    = get_tensor(string_format(TN_QF_FFN_NORM, il, "weight"));
+                        pl.ln_2_b    = get_tensor(string_format(TN_QF_FFN_NORM, il, "bias"));
+                    }
+                } break;
             default:
                 GGML_ASSERT(false && "unknown projector type");
         }
@@ -2173,7 +2571,10 @@ struct clip_model_loader {
             ggml_backend_buffer_set_usage(ctx_clip.buf.get(), GGML_BACKEND_BUFFER_USAGE_WEIGHTS);
             for (auto & t : tensors_to_load) {
                 ggml_tensor * cur = ggml_get_tensor(ctx_clip.ctx_data.get(), t->name);
-                const size_t offset = tensor_offset[t->name];
+                GGML_ASSERT(cur && "tensor not found in ctx_data");
+                auto it_off = tensor_offset.find(t->name);
+                GGML_ASSERT(it_off != tensor_offset.end() && "no offset for tensor");
+                const size_t offset = it_off->second;
                 fin.seekg(offset, std::ios::beg);
                 if (!fin) {
                     throw std::runtime_error(string_format("%s: failed to seek for tensor %s\n", __func__, t->name));
@@ -2193,6 +2594,7 @@ struct clip_model_loader {
 
             LOG_DBG("%s: loaded %zu tensors from %s\n", __func__, tensors_to_load.size(), fname.c_str());
         }
+
     }
 
     struct support_info_op {
@@ -2465,8 +2867,7 @@ struct clip_init_result clip_init(const char * fname, struct clip_context_params
 
             // TODO: we don't support audio for Gemma 3N, but GGUF contains audio tensors
             // we can remove this check when we implement audio support for Gemma 3N
-            skip_audio = ctx_vision->model.proj_type == PROJECTOR_TYPE_GEMMA3NV
-                || ctx_vision->model.proj_type == PROJECTOR_TYPE_GEMMA4V;
+            skip_audio = ctx_vision->model.proj_type == PROJECTOR_TYPE_GEMMA3NV;
         }
 
         if (loader.has_audio && !skip_audio) {
@@ -2613,8 +3014,11 @@ int clip_n_output_tokens_x(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_GLM4V:
         case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_HUNYUANOCR:
+        case PROJECTOR_TYPE_HUNYUANVL:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->nx / params.patch_size) / 2;
+        case PROJECTOR_TYPE_STEP3VL:
+            return img->nx / (params.patch_size * params.n_merge);
         default:
             break;
     }
@@ -2630,8 +3034,11 @@ int clip_n_output_tokens_y(const struct clip_ctx * ctx, struct clip_image_f32 *
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
         case PROJECTOR_TYPE_PADDLEOCR:
+        case PROJECTOR_TYPE_HUNYUANVL:
         case PROJECTOR_TYPE_YOUTUVL:
             return (img->ny / params.patch_size) / 2;
+        case PROJECTOR_TYPE_STEP3VL:
+            return img->ny / (params.patch_size * params.n_merge);
         default:
             break;
     }
@@ -2655,6 +3062,10 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
             {
                 // do nothing
             } break;
+        case PROJECTOR_TYPE_YASA2:
+            {
+                n_patches = 64; // adaptive average pooling to 8x8 tokens
+            } break;
         case PROJECTOR_TYPE_LDP:
         case PROJECTOR_TYPE_LDPV2:
         case PROJECTOR_TYPE_GLM_EDGE:
@@ -2691,6 +3102,11 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                     }
                 }
             } break;
+        case PROJECTOR_TYPE_MINICPMV4_6:
+            {
+                // ViT merger 4x + final merger 4x = 16x total spatial downsample
+                n_patches = n_patches / 16;
+            } break;
         case PROJECTOR_TYPE_QWEN2VL:
         case PROJECTOR_TYPE_QWEN25VL:
         case PROJECTOR_TYPE_QWEN3VL:
@@ -2702,6 +3118,12 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                 int y_patch = img->ny / (params.patch_size * 2);
                 n_patches = x_patch * y_patch;
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                int x_patch = img->nx / (params.patch_size * params.n_merge);
+                int y_patch = img->ny / (params.patch_size * params.n_merge);
+                n_patches = x_patch * y_patch;
+            } break;
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_GEMMA4V:
         case PROJECTOR_TYPE_IDEFICS3:
@@ -2730,6 +3152,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                 n_patches = x_patch * y_patch;
             } break;
         case PROJECTOR_TYPE_PADDLEOCR:
+        case PROJECTOR_TYPE_DOTS_OCR:
             {
                 // dynamic size
                 int n_merge = ctx->model.hparams.n_merge;
@@ -2752,6 +3175,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             {
                 n_patches = img->nx;
@@ -2771,6 +3195,15 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
                     n_patches /= 2;
                 }
             } break;
+        case PROJECTOR_TYPE_QWEN3A:
+            {
+                // 3x stride-2 conv2d: each step is floor((n-1)/2)+1
+                int n = img->nx;
+                n = (n - 1) / 2 + 1;
+                n = (n - 1) / 2 + 1;
+                n = (n - 1) / 2 + 1;
+                n_patches = n;
+            } break;
         case PROJECTOR_TYPE_GLMA:
             {
                 n_patches = img->nx;
@@ -2798,6 +3231,7 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
             n_patches = h * (h + 1) + 1;
         } break;
         case PROJECTOR_TYPE_HUNYUANOCR:
+        case PROJECTOR_TYPE_HUNYUANVL:
             {
                 int merge = ctx->model.hparams.n_merge;
                 int ow = (img->nx / patch_size) / merge;
@@ -2808,6 +3242,22 @@ int clip_n_output_tokens(const struct clip_ctx * ctx, struct clip_image_f32 * im
             {
                 n_patches = ((((img->nx + 1) / 2) + 1) / 2 + 1) / 2;
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                // Two Conv2D stride-2: O = floor((I + 2p - k) / s) + 1, p=1, k=3, s=2
+                // O = floor((I - 1) / 2) + 1
+                int n = img->nx;
+                for (int i = 0; i < 2; i++) {
+                    n = (n - 1) / 2 + 1;
+                }
+                n_patches = n;
+            } break;
+        case PROJECTOR_TYPE_GRANITE_SPEECH:
+            {
+                const int ws = ctx->model.hparams.audio_proj_window_size;
+                const int ds = ctx->model.hparams.audio_proj_downsample_rate;
+                n_patches = ((img->nx + ws - 1) / ws) * (ws / ds);
+            } break;
         default:
             GGML_ABORT("unsupported projector type");
     }
@@ -2979,6 +3429,92 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                 }
                 set_input_f32("omega", omega);
             } break;
+        case PROJECTOR_TYPE_MINICPMV4_6:
+            {
+                // SigLIP position buckets (same as resampler path)
+                std::vector<int32_t> positions(pos_h * pos_w);
+                int bucket_coords_h[1024];
+                int bucket_coords_w[1024];
+                for (int i = 0; i < pos_h; i++){
+                    bucket_coords_h[i] = std::floor(70.0*i/pos_h);
+                }
+                for (int i = 0; i < pos_w; i++){
+                    bucket_coords_w[i] = std::floor(70.0*i/pos_w);
+                }
+                for (int i = 0, id = 0; i < pos_h; i++){
+                    for (int j = 0; j < pos_w; j++){
+                        positions[id++] = bucket_coords_h[i]*70 + bucket_coords_w[j];
+                    }
+                }
+                set_input_i32("positions", positions);
+
+                const int half_h = pos_h / 2;
+                const int half_w = pos_w / 2;
+
+                // window reorder indices for 2x2 windows
+                std::vector<int32_t> window_idx(n_pos);
+                std::vector<int32_t> inv_window_idx(n_pos);
+                {
+                    int k = 0;
+                    for (int wi = 0; wi < half_h; wi++) {
+                        for (int wj = 0; wj < half_w; wj++) {
+                            window_idx[k++] = (2*wi    ) * pos_w + (2*wj    );
+                            window_idx[k++] = (2*wi    ) * pos_w + (2*wj + 1);
+                            window_idx[k++] = (2*wi + 1) * pos_w + (2*wj    );
+                            window_idx[k++] = (2*wi + 1) * pos_w + (2*wj + 1);
+                        }
+                    }
+                    for (int i = 0; i < n_pos; i++) {
+                        inv_window_idx[window_idx[i]] = i;
+                    }
+                }
+                set_input_i32("vit_merger_window_idx",     window_idx);
+                set_input_i32("vit_merger_inv_window_idx", inv_window_idx);
+
+                // block-diagonal attention mask: tokens in the same 4-token
+                // window attend to each other (mask = 0), all other positions
+                // are masked out (-inf). matches the window-major reorder above.
+                std::vector<float> window_mask_data(n_pos * n_pos, std::numeric_limits<float>::lowest());
+                for (int wi = 0; wi < n_pos / 4; wi++) {
+                    for (int i = 0; i < 4; i++) {
+                        for (int j = 0; j < 4; j++) {
+                            window_mask_data[(wi*4 + i) * n_pos + (wi*4 + j)] = 0.0f;
+                        }
+                    }
+                }
+                set_input_f32("vit_merger_window_mask", window_mask_data);
+
+                // ViT merger 2x2 downsample indices
+                auto make_ds_idx = [](int off_r, int off_c, int ds_h, int ds_w, int stride_w) {
+                    std::vector<int32_t> idx(ds_h * ds_w);
+                    for (int i = 0; i < ds_h; i++) {
+                        for (int j = 0; j < ds_w; j++) {
+                            idx[i * ds_w + j] = (2*i + off_r) * stride_w + (2*j + off_c);
+                        }
+                    }
+                    return idx;
+                };
+                auto vit_merger_ds_0 = make_ds_idx(0, 0, half_h, half_w, pos_w);
+                auto vit_merger_ds_1 = make_ds_idx(0, 1, half_h, half_w, pos_w);
+                auto vit_merger_ds_2 = make_ds_idx(1, 0, half_h, half_w, pos_w);
+                auto vit_merger_ds_3 = make_ds_idx(1, 1, half_h, half_w, pos_w);
+                set_input_i32("vit_merger_ds_idx_0", vit_merger_ds_0);
+                set_input_i32("vit_merger_ds_idx_1", vit_merger_ds_1);
+                set_input_i32("vit_merger_ds_idx_2", vit_merger_ds_2);
+                set_input_i32("vit_merger_ds_idx_3", vit_merger_ds_3);
+
+                // final merger 2x2 downsample indices (operates on half_h x half_w grid)
+                const int qh = half_h / 2;
+                const int qw = half_w / 2;
+                auto m_ds_0 = make_ds_idx(0, 0, qh, qw, half_w);
+                auto m_ds_1 = make_ds_idx(0, 1, qh, qw, half_w);
+                auto m_ds_2 = make_ds_idx(1, 0, qh, qw, half_w);
+                auto m_ds_3 = make_ds_idx(1, 1, qh, qw, half_w);
+                set_input_i32("merger_ds_idx_0", m_ds_0);
+                set_input_i32("merger_ds_idx_1", m_ds_1);
+                set_input_i32("merger_ds_idx_2", m_ds_2);
+                set_input_i32("merger_ds_idx_3", m_ds_3);
+            } break;
         case PROJECTOR_TYPE_QWEN2VL:
         case PROJECTOR_TYPE_QWEN3VL:
         case PROJECTOR_TYPE_GLM4V:
@@ -3004,6 +3540,18 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
 
                 set_input_i32("positions", positions);
             } break;
+        case PROJECTOR_TYPE_STEP3VL:
+            {
+                std::vector<int32_t> pos_data(n_pos);
+                for (int i = 0; i < n_pos; i++) {
+                    pos_data[i] = i / pos_w;
+                }
+                set_input_i32("pos_h", pos_data);
+                for (int i = 0; i < n_pos; i++) {
+                    pos_data[i] = i % pos_w;
+                }
+                set_input_i32("pos_w", pos_data);
+            } break;
         case PROJECTOR_TYPE_PADDLEOCR:
             {
                 const int merge_ratio = hparams.n_merge;
@@ -3026,6 +3574,28 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                     }
                 }
 
+                set_input_i32("positions", positions);
+            } break;
+        case PROJECTOR_TYPE_DOTS_OCR:
+            {
+                const int pw = image_size_width / patch_size;
+                const int ph = image_size_height / patch_size;
+                const int n_pos = ph * pw;
+                std::vector<int> positions(n_pos * 4);
+                int ptr = 0;
+
+                // flat layout: [h, w, h, w] for each patch
+                // patches are in raster order (matching conv2d output)
+                for (int y = 0; y < ph; y++) {
+                    for (int x = 0; x < pw; x++) {
+                        positions[          ptr] = y;
+                        positions[  n_pos + ptr] = x;
+                        positions[2*n_pos + ptr] = y;
+                        positions[3*n_pos + ptr] = x;
+                        ptr++;
+                    }
+                }
+
                 set_input_i32("positions", positions);
             } break;
         case PROJECTOR_TYPE_QWEN25VL:
@@ -3203,18 +3773,85 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
         case PROJECTOR_TYPE_INTERNVL:
         case PROJECTOR_TYPE_NEMOTRON_V2_VL:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_QWEN3A:
         case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_VOXTRAL:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
         case PROJECTOR_TYPE_JANUS_PRO:
         case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_COGVLM:
         case PROJECTOR_TYPE_HUNYUANOCR:
+        case PROJECTOR_TYPE_YASA2:
             {
                 // do nothing
             } break;
+        case PROJECTOR_TYPE_HUNYUANVL:
+            {
+                // Compute the HunyuanVL 2D position embedding on CPU (with the
+                // custom sf=(target+0.1)/n_grid bilinear sampling that the
+                // reference implementation uses) and upload it to the graph
+                // input declared in clip_graph_hunyuanocr::build().
+                GGML_ASSERT(model.position_embeddings != nullptr);
+                ggml_tensor * src_t   = model.position_embeddings;
+                const int64_t n_embd  = src_t->ne[0];
+                const int64_t n_pos   = src_t->ne[1];            // = n_grid * n_grid
+                const int     n_grid  = (int)std::lround(std::sqrt((double)n_pos));
+                GGML_ASSERT((int64_t)n_grid * n_grid == n_pos);
+                const int     out_w   = pos_w;                    // pw
+                const int     out_h   = pos_h;                    // ph
+
+                // Pull weight to host.
+                std::vector<float> src(n_embd * n_pos);
+                ggml_backend_tensor_get(src_t, src.data(), 0, ggml_nbytes(src_t));
+
+                // Output layout matches ggml_new_tensor_2d(F32, n_embd, out_h*out_w):
+                //   ne[0] = n_embd (fastest), ne[1] = out_h*out_w
+                //   dst[(y*out_w + x) * n_embd + c]
+                std::vector<float> dst((size_t)n_embd * out_h * out_w);
+
+                const float sx = (float)(out_w + 0.1f) / (float)n_grid;
+                const float sy = (float)(out_h + 0.1f) / (float)n_grid;
+
+                for (int y = 0; y < out_h; ++y) {
+                    // Match ggml_compute_forward_upscale_f32 pixel-center
+                    // convention (align_corners=False): src_y = (y+0.5)/sy - 0.5.
+                    const float fy = ((float)y + 0.5f) / sy - 0.5f;
+                    int y0 = (int)std::floor(fy);
+                    int y1 = y0 + 1;
+                    y0 = std::clamp(y0, 0, n_grid - 1);
+                    y1 = std::clamp(y1, 0, n_grid - 1);
+                    float wy1 = std::clamp(fy - (float)y0, 0.0f, 1.0f);
+                    const float wy0 = 1.0f - wy1;
+                    for (int x = 0; x < out_w; ++x) {
+                        const float fx = ((float)x + 0.5f) / sx - 0.5f;
+                        int x0 = (int)std::floor(fx);
+                        int x1 = x0 + 1;
+                        x0 = std::clamp(x0, 0, n_grid - 1);
+                        x1 = std::clamp(x1, 0, n_grid - 1);
+                        float wx1 = std::clamp(fx - (float)x0, 0.0f, 1.0f);
+                        const float wx0 = 1.0f - wx1;
+
+                        const float w00 = wy0 * wx0;
+                        const float w01 = wy0 * wx1;
+                        const float w10 = wy1 * wx0;
+                        const float w11 = wy1 * wx1;
+
+                        const float * s00 = &src[((size_t)y0 * n_grid + x0) * n_embd];
+                        const float * s01 = &src[((size_t)y0 * n_grid + x1) * n_embd];
+                        const float * s10 = &src[((size_t)y1 * n_grid + x0) * n_embd];
+                        const float * s11 = &src[((size_t)y1 * n_grid + x1) * n_embd];
+                        float * d         = &dst[((size_t)y * out_w + x) * n_embd];
+                        for (int c = 0; c < n_embd; ++c) {
+                            d[c] = w00 * s00[c] + w01 * s01[c] + w10 * s10[c] + w11 * s11[c];
+                        }
+                    }
+                }
+
+                set_input_f32("hunyuanvl_pos_embd", dst);
+            } break;
         case PROJECTOR_TYPE_LLAMA4:
             {
                 // set the 2D positions
@@ -3232,6 +3869,56 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                 }
                 set_input_i32("pos_w", pos_data);
             } break;
+        case PROJECTOR_TYPE_GEMMA4A:
+            {
+                GGML_ASSERT(imgs.entries.size() == 1);
+                const auto & img0 = imgs.entries.front();
+                // Compute n_pos matching SSCP output: two stride-2 convs
+                int n_pos = img0->nx;
+                for (int i = 0; i < 2; i++) { n_pos = (n_pos - 1) / 2 + 1; }
+
+                // Chunked local attention: blocked causal mask and RPE
+                const int chunk_size   = 12;
+                const int max_past     = 12;
+                const int context_size = chunk_size + max_past;
+                const int num_blocks   = (n_pos + chunk_size - 1) / chunk_size;
+
+                // Blocked causal attention mask: [context_size, chunk_size, num_blocks]
+                {
+                    std::vector<float> mask(context_size * chunk_size * num_blocks, -1e9f);
+                    for (int b = 0; b < num_blocks; b++) {
+                        for (int q = 0; q < chunk_size; q++) {
+                            int gq = b * chunk_size + q;
+                            for (int k = 0; k < context_size; k++) {
+                                int gk = b * chunk_size - max_past + k;
+                                if (gq < n_pos && gk >= 0 && gk < n_pos && gk <= gq && (gq - gk) < max_past) {
+                                    mask[k + q * context_size + b * context_size * chunk_size] = 0.0f;
+                                }
+                            }
+                        }
+                    }
+                    set_input_f32("kq_mask", mask);
+                }
+
+                // Sinusoidal RPE: 13 positions [12, 11, ..., 0]
+                {
+                    const int n_embd = ctx->model.hparams.n_embd;
+                    const int num_timescales = n_embd / 2;
+                    const float log_timescale_increment = logf(10000.0f) / std::max(num_timescales - 1, 1);
+                    const int rpe_len = max_past + 1;
+                    std::vector<float> pos_emb(n_embd * rpe_len, 0.0f);
+                    for (int p = 0; p < rpe_len; p++) {
+                        float position = (float)(max_past - p);
+                        for (int i = 0; i < num_timescales; i++) {
+                            float inv_ts = expf(-(float)i * log_timescale_increment);
+                            float scaled = position * inv_ts;
+                            pos_emb[p * n_embd + i]                 = sinf(scaled);
+                            pos_emb[p * n_embd + i + num_timescales] = cosf(scaled);
+                        }
+                    }
+                    set_input_f32("pos_emb", pos_emb);
+                }
+            } break;
         case PROJECTOR_TYPE_LFM2A:
             {
                 GGML_ASSERT(imgs.entries.size() == 1);
@@ -3253,6 +3940,39 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
                 }
                 set_input_f32("pos_emb", pos_emb);
             } break;
+        case PROJECTOR_TYPE_GRANITE_SPEECH:
+            {
+                const int context_size = ctx->model.hparams.audio_chunk_size;
+                const int max_pos_emb  = ctx->model.hparams.audio_max_pos_emb;
+
+                std::vector<int32_t> dists(context_size * context_size);
+                for (int i = 0; i < context_size; i++) {
+                    for (int j = 0; j < context_size; j++) {
+                        int d = i - j;
+                        if (d < -context_size) d = -context_size;
+                        if (d >  context_size) d =  context_size;
+                        dists[i * context_size + j] = d + max_pos_emb;
+                    }
+                }
+                set_input_i32("attn_dists", dists);
+
+                const int n_frames   = image_size_width;
+                const int remainder  = n_frames % context_size;
+                if (remainder > 0) {
+                    const int num_blocks = (n_frames + context_size - 1) / context_size;
+                    std::vector<float> mask(context_size * context_size * num_blocks, 0.0f);
+                    const float neg_inf = -INFINITY;
+                    const int last_block_offset = (num_blocks - 1) * context_size * context_size;
+                    for (int q = 0; q < context_size; q++) {
+                        for (int k = 0; k < context_size; k++) {
+                            if (q >= remainder || k >= remainder) {
+                                mask[last_block_offset + q * context_size + k] = neg_inf;
+                            }
+                        }
+                    }
+                    set_input_f32("attn_mask", mask);
+                }
+            } break;
         default:
             GGML_ABORT("Unknown projector type");
     }
@@ -3343,11 +4063,14 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_PHI4:
         case PROJECTOR_TYPE_PIXTRAL:
         case PROJECTOR_TYPE_LIGHTONOCR:
+        case PROJECTOR_TYPE_DOTS_OCR:
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_MLP_NORM:
             return ctx->model.mm_3_b->ne[0];
         case PROJECTOR_TYPE_MINICPMV:
             return ctx->model.mm_model_proj->ne[0];
+        case PROJECTOR_TYPE_MINICPMV4_6:
+            return ctx->model.mm_ffn_down_w->ne[1];
         case PROJECTOR_TYPE_GLM_EDGE:
             return ctx->model.mm_model_mlp_3_w->ne[1];
         case PROJECTOR_TYPE_QWEN2VL:
@@ -3358,6 +4081,8 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_QWEN3VL:
             // main path + deepstack paths
             return ctx->model.mm_1_b->ne[0] * (1 + ctx->model.n_deepstack_layers);
+        case PROJECTOR_TYPE_STEP3VL:
+            return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_GEMMA3NV:
             return ctx->model.mm_input_proj_w->ne[0];
@@ -3369,6 +4094,8 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             return ctx->model.mm_2_w->ne[1];
+        case PROJECTOR_TYPE_MERALION:
+            return ctx->model.mm_3_w->ne[1]; // out_proj output dim
         case PROJECTOR_TYPE_INTERNVL:
         case PROJECTOR_TYPE_NEMOTRON_V2_VL:
             return ctx->model.mm_3_w->ne[1];
@@ -3376,14 +4103,17 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
             return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_QWEN2A:
             return ctx->model.mm_fc_w->ne[1];
-        case PROJECTOR_TYPE_GLMA:
+        case PROJECTOR_TYPE_QWEN3A:
             return ctx->model.mm_2_w->ne[1];
+        case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_LFM2:
         case PROJECTOR_TYPE_KIMIVL:
         case PROJECTOR_TYPE_PADDLEOCR:
         case PROJECTOR_TYPE_KIMIK25:
+        case PROJECTOR_TYPE_YASA2:
             return ctx->model.mm_2_w->ne[1];
         case PROJECTOR_TYPE_HUNYUANOCR:
+        case PROJECTOR_TYPE_HUNYUANVL:
             return ctx->model.mm_model_proj->ne[1];
         case PROJECTOR_TYPE_COGVLM:
             return ctx->model.mm_4h_to_h_w->ne[1];
@@ -3391,6 +4121,10 @@ int clip_n_mmproj_embd(const struct clip_ctx * ctx) {
             return ctx->model.mm_fc_w->ne[1];
         case PROJECTOR_TYPE_LFM2A:
             return ctx->model.position_embeddings->ne[0];
+        case PROJECTOR_TYPE_GEMMA4A:
+            return ctx->model.hparams.projection_dim;
+        case PROJECTOR_TYPE_GRANITE_SPEECH:
+            return ctx->model.qf_proj_linear_w->ne[1];
         case PROJECTOR_TYPE_GLM4V:
             return ctx->model.mm_ffn_down_w->ne[1];
         default:
@@ -3403,6 +4137,9 @@ int clip_is_minicpmv(const struct clip_ctx * ctx) {
     if (ctx->proj_type() == PROJECTOR_TYPE_MINICPMV) {
         return ctx->model.hparams.minicpmv_version;
     }
+    if (ctx->proj_type() == PROJECTOR_TYPE_MINICPMV4_6) {
+        return 46;
+    }
     return 0;
 }
 
@@ -3427,8 +4164,10 @@ bool clip_has_whisper_encoder(const struct clip_ctx * ctx) {
     switch (ctx->proj_type()) {
         case PROJECTOR_TYPE_ULTRAVOX:
         case PROJECTOR_TYPE_QWEN2A:
+        case PROJECTOR_TYPE_QWEN3A:
         case PROJECTOR_TYPE_GLMA:
         case PROJECTOR_TYPE_VOXTRAL:
+        case PROJECTOR_TYPE_MERALION:
         case PROJECTOR_TYPE_MUSIC_FLAMINGO:
             return true;
         default:
diff --git a/tools/mtmd/debug/mtmd-debug.cpp b/tools/mtmd/debug/mtmd-debug.cpp
index 6e32b283a..f19ca4cfe 100644
--- a/tools/mtmd/debug/mtmd-debug.cpp
+++ b/tools/mtmd/debug/mtmd-debug.cpp
@@ -68,11 +68,13 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
+    ggml_backend_load_all();
+
     LOG_INF("%s: loading model: %s\n", __func__, params.model.path.c_str());
 
     mtmd::context_ptr ctx_mtmd;
     common_init_result_ptr llama_init;
-    base_callback_data cb_data;
+    common_debug_cb_user_data cb_data;
 
     llama_init = common_init_from_params(params);
     {
@@ -89,7 +91,7 @@ int main(int argc, char ** argv) {
         {
             // always enable debug callback
             mparams.cb_eval_user_data = &cb_data;
-            mparams.cb_eval = common_debug_cb_eval<false>;
+            mparams.cb_eval = common_debug_cb_eval;
         }
         ctx_mtmd.reset(mtmd_init_from_file(clip_path, model, mparams));
         if (!ctx_mtmd.get()) {
diff --git a/tools/mtmd/models/dotsocr.cpp b/tools/mtmd/models/dotsocr.cpp
new file mode 100644
index 000000000..92974bb67
--- /dev/null
+++ b/tools/mtmd/models/dotsocr.cpp
@@ -0,0 +1,49 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_dotsocr::build() {
+    const int n_pos            = n_patches;
+    const int num_position_ids = n_pos * 4; // m-rope requires 4 dim per position
+
+    // note: similar to PaddleOCR
+    int mrope_sections[4] = {d_head/4, d_head/4, d_head/4, d_head/4};
+
+    ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_position_ids);
+    ggml_set_name(positions, "positions");
+    ggml_set_input(positions);
+
+    auto add_pos = [&](ggml_tensor * cur, const clip_layer &) {
+        return ggml_rope_multi(
+                    ctx0, cur, positions, nullptr,
+                    d_head/2, mrope_sections, GGML_ROPE_TYPE_VISION,
+                    32768, 10000, 1, 0, 1, 32, 1);
+    };
+
+    ggml_tensor * inp = build_inp();
+    ggml_tensor * cur = build_vit(
+                            inp, n_patches,
+                            NORM_TYPE_RMS,
+                            hparams.ffn_op,
+                            nullptr,
+                            add_pos);
+
+    cb(cur, "vit_out", -1);
+
+    // dots.ocr patch merger + projector
+    {
+        GGML_ASSERT(hparams.n_merge > 0);
+        cur = build_norm(cur, model.mm_input_norm_w, model.mm_input_norm_b, NORM_TYPE_NORMAL, 1e-6, -1);
+        cur = build_patch_merge_permute(cur, hparams.n_merge);
+        cb(cur, "after_patch_merger", -1);
+        cur = build_ffn(cur,
+            model.mm_0_w, model.mm_0_b,
+            nullptr, nullptr, // no gate
+            model.mm_2_w, model.mm_2_b,
+            FFN_GELU_ERF, -1); // nn.GELU() defaults to exact erf-based GELU
+        cb(cur, "after_projector", -1);
+    }
+
+    // build the graph
+    ggml_build_forward_expand(gf, cur);
+
+    return gf;
+}
diff --git a/tools/mtmd/models/gemma4a.cpp b/tools/mtmd/models/gemma4a.cpp
new file mode 100644
index 000000000..5dd64b783
--- /dev/null
+++ b/tools/mtmd/models/gemma4a.cpp
@@ -0,0 +1,288 @@
+/**
+ * Gemma 4 Audio Conformer Encoder (clip_graph_gemma4a)
+ *
+ * Architecture: Conformer with dual half-step FFN, full self-attention
+ * with sinusoidal RPE, depthwise light conv, and output projection.
+ */
+
+#include "models.h"
+#include <cmath>
+
+ggml_cgraph * clip_graph_gemma4a::build() {
+    const float res_weight = 0.5f;
+    const float norm_eps   = 1e-6f;
+
+    // 1. Input
+    ggml_tensor * inp = build_inp_raw(1);
+    auto * cur = ggml_cont(ctx0, ggml_transpose(ctx0, inp));
+
+    // 2. Subsampling Conv2D (symmetric padding=1, matching PyTorch)
+    {
+        for (int i = 0; i < 2; i++) {
+            cur = ggml_conv_2d(ctx0, model.sscp_conv_w[i], cur, 2, 2, 1, 1, 1, 1);
+            if (model.sscp_conv_b[i]) {
+                cur = ggml_add(ctx0, cur, model.sscp_conv_b[i]);
+            }
+            // nn.LayerNorm(channels): permute ch to ne[0], normalize, permute back
+            if (model.sscp_norm_w[i]) {
+                cur = ggml_cont(ctx0, ggml_permute(ctx0, cur, 1, 2, 0, 3));
+                cur = ggml_norm(ctx0, cur, norm_eps);
+                cur = ggml_mul(ctx0, cur, model.sscp_norm_w[i]);
+                cur = ggml_cont(ctx0, ggml_permute(ctx0, cur, 2, 0, 1, 3));
+            }
+            cur = ggml_relu(ctx0, cur);
+        }
+        // Flatten [freq, time, ch, 1] -> [ch*freq, time]
+        cur = ggml_cont(ctx0, ggml_permute(ctx0, cur, 1, 2, 0, 3));
+        cur = ggml_reshape_2d(ctx0, cur, cur->ne[0] * cur->ne[1], cur->ne[2]);
+        if (model.sscp_inp_proj_w) {
+            cur = build_mm(model.sscp_inp_proj_w, cur);
+            if (model.sscp_inp_proj_b) {
+                cur = ggml_add(ctx0, cur, model.sscp_inp_proj_b);
+            }
+        }
+    }
+
+    const int64_t n_pos = cur->ne[1];
+
+    // Chunked local attention parameters
+    const int64_t C  = 12;                              // chunk_size
+    const int64_t P  = 12;                              // max_past_horizon (context_left - 1)
+    const int64_t S  = C + P;                           // context_size = 24
+    const int64_t R  = P + 1;                           // RPE positions = 13
+    const int64_t B  = (n_pos + C - 1) / C;            // num_blocks
+    const int64_t Np = B * C;                           // padded sequence length
+    const int64_t pad_seq = Np - n_pos;
+
+    // Input tensors: blocked RPE and blocked attention mask
+    ggml_tensor * pos_emb = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_head * d_head, R);
+    ggml_set_name(pos_emb, "pos_emb");
+    ggml_set_input(pos_emb);
+
+    ggml_tensor * kq_mask = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, S, C, B);
+    ggml_set_name(kq_mask, "kq_mask");
+    ggml_set_input(kq_mask);
+
+    // 3. Conformer Blocks
+    for (int il = 0; il < hparams.n_layer; il++) {
+        const auto & layer = model.layers[il];
+        auto * residual = cur;
+
+        // FFN 1 (half-step)
+        if (layer.ff_norm_w && layer.ff_up_w && layer.ff_down_w) {
+            cur = build_norm(cur, layer.ff_norm_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            cur = build_ffn(cur,
+                layer.ff_up_w, nullptr, nullptr, nullptr,
+                layer.ff_down_w, nullptr, FFN_SILU, il);
+            if (layer.ff_post_norm_w) {
+                cur = build_norm(cur, layer.ff_post_norm_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            }
+            residual = ggml_add(ctx0, residual, ggml_scale(ctx0, cur, res_weight));
+        }
+
+        // Chunked local self-attention with RPE
+        if (layer.q_w && layer.k_w && layer.v_w && layer.o_w) {
+            const float q_scale = (1.0f / sqrtf((float)d_head)) / logf(2.0f);
+            const float k_scale = logf(1.0f + expf(1.0f)) / logf(2.0f);
+            const float softcap = 50.0f;
+
+            ggml_tensor * attn_norm_w = layer.attn_pre_norm_w ? layer.attn_pre_norm_w : layer.ln_1_w;
+            cur = attn_norm_w
+                ? build_norm(residual, attn_norm_w, nullptr, NORM_TYPE_RMS, norm_eps, il)
+                : residual;
+
+            ggml_tensor * Qcur = build_mm(layer.q_w, cur);
+            ggml_tensor * Kcur = build_mm(layer.k_w, cur);
+            ggml_tensor * Vcur = build_mm(layer.v_w, cur);
+
+            // [n_embd, n_pos] -> [D, H, N]
+            Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos);
+
+            // Q/K scaling
+            Qcur = ggml_scale(ctx0, Qcur, q_scale);
+            if (layer.per_dim_scale_w) {
+                Qcur = ggml_mul(ctx0, Qcur, ggml_reshape_3d(ctx0, layer.per_dim_scale_w, d_head, 1, 1));
+            }
+            Kcur = ggml_scale(ctx0, Kcur, k_scale);
+            if (layer.per_dim_k_scale_w) {
+                Kcur = ggml_mul(ctx0, Kcur, ggml_reshape_3d(ctx0, layer.per_dim_k_scale_w, d_head, 1, 1));
+            }
+
+            // Q blocking: [D, H, N] -> pad to Np -> reshape [D, H, C, B]
+            // ggml permute: ne[ax_i] = src->ne[i], so (0,3,1,2) sends H->3, C->1, B->2
+            Qcur = ggml_pad(ctx0, Qcur, 0, 0, pad_seq, 0);          // [D, H, Np]
+            Qcur = ggml_reshape_4d(ctx0, Qcur, d_head, n_head, C, B); // [D, H, C, B]
+            Qcur = ggml_cont(ctx0, ggml_permute(ctx0, Qcur, 0, 3, 1, 2)); // [D, C, B, H]
+
+            // K/V block context extraction via overlapping view:
+            // Pad to S*B elements, roll right by P to create left-padding,
+            // then view with stride C in the block dimension (overlapping windows).
+            auto extract_blocks = [&](ggml_tensor * t) -> ggml_tensor * {
+                // [D, H, N] -> pad to S*B -> roll right by P -> cont (materialize)
+                const int64_t pad_kv = S * B - n_pos;
+                t = ggml_pad(ctx0, t, 0, 0, pad_kv, 0);     // [D, H, S*B]
+                t = ggml_roll(ctx0, t, 0, 0, P, 0);          // left-pad by P
+                t = ggml_cont(ctx0, t);                       // materialize roll (removes view offset)
+                // Overlapping view: stride for B dim is C positions, not S
+                // ne = [D, H, S, B], data_size = D*H*S*B*sizeof = source_nbytes (exact fit)
+                // nb1=D*sizeof, nb2=D*H*sizeof, nb3=C*D*H*sizeof (overlap: C < S)
+                t = ggml_view_4d(ctx0, t, d_head, n_head, S, B,
+                    t->nb[1], t->nb[2], C * t->nb[2], 0);
+                t = ggml_cont(ctx0, t);                       // materialize overlapping windows
+                return t;
+            };
+
+            ggml_tensor * Kblk = extract_blocks(Kcur);
+            // [D, H, S, B] -> [D, S, B, H] via permute(0,3,1,2)
+            Kblk = ggml_cont(ctx0, ggml_permute(ctx0, Kblk, 0, 3, 1, 2));
+
+            ggml_tensor * Vblk = extract_blocks(Vcur);
+            // [D, H, S, B] -> [S, D, B, H] via permute(1,3,0,2)
+            Vblk = ggml_cont(ctx0, ggml_permute(ctx0, Vblk, 1, 3, 0, 2));
+
+            // Content attention: Q @ K^T
+            // Kblk=[D,S,B,H], Qcur=[D,C,B,H] -> mul_mat contracts on D -> [S,C,B,H]
+            ggml_tensor * matrix_ac = ggml_mul_mat(ctx0, Kblk, Qcur);
+
+            // Relative position attention
+            if (layer.attn_k_rel_w) {
+                // RPE: [n_embd, R] -> project -> [D, H, R] -> [D, R, H]
+                auto * p = ggml_mul_mat(ctx0, layer.attn_k_rel_w, pos_emb);
+                p = ggml_reshape_3d(ctx0, p, d_head, n_head, R);
+                p = ggml_cont(ctx0, ggml_permute(ctx0, p, 0, 2, 1, 3)); // [D, R, H]
+
+                // Q_flat @ RPE^T: [D, C*B, H] @ [D, R, H] -> [R, C*B, H]
+                auto * Q_flat = ggml_reshape_3d(ctx0, Qcur, d_head, C * B, n_head);
+                auto * matrix_bd = ggml_mul_mat(ctx0, p, Q_flat);       // [R, C*B, H]
+                matrix_bd = ggml_reshape_4d(ctx0, matrix_bd, R, C, B, n_head); // [R, C, B, H]
+
+                // Blocked relative shift (appendix B of Transformer-XL)
+                {
+                    matrix_bd = ggml_pad(ctx0, matrix_bd, S + 1 - R, 0, 0, 0); // [S+1, C, B, H]
+                    matrix_bd = ggml_reshape_3d(ctx0, matrix_bd, (S + 1) * C, B, n_head);
+                    matrix_bd = ggml_view_3d(ctx0, matrix_bd,
+                        C * S, B, n_head,
+                        matrix_bd->nb[1], matrix_bd->nb[2], 0);
+                    matrix_bd = ggml_cont(ctx0, matrix_bd);              // [C*S, B, H]
+                    matrix_bd = ggml_reshape_4d(ctx0, matrix_bd, S, C, B, n_head); // [S, C, B, H]
+                }
+
+                matrix_ac = ggml_add(ctx0, matrix_ac, matrix_bd);
+            }
+
+            auto * scores = matrix_ac; // [S, C, B, H]
+
+            // Softcap
+            scores = ggml_scale(ctx0, scores, 1.0f / softcap);
+            scores = ggml_tanh(ctx0, scores);
+            scores = ggml_scale(ctx0, scores, softcap);
+
+            // Blocked attention mask: [S, C, B] broadcasts over H
+            scores = ggml_add(ctx0, scores, kq_mask);
+
+            ggml_tensor * attn = ggml_soft_max(ctx0, scores);
+
+            // attn @ V: [S,C,B,H] @ [S,D,B,H] -> [D,C,B,H]
+            ggml_tensor * x = ggml_mul_mat(ctx0, Vblk, attn);
+
+            // [D,C,B,H] -> [D,H,C,B] via permute(0,2,3,1) -> flatten -> trim
+            x = ggml_cont(ctx0, ggml_permute(ctx0, x, 0, 2, 3, 1));
+            x = ggml_cont_2d(ctx0, x, d_head * n_head, C * B);
+            if (pad_seq > 0) {
+                x = ggml_view_2d(ctx0, x, d_head * n_head, n_pos, x->nb[1], 0);
+                x = ggml_cont(ctx0, x);
+            }
+
+            x = build_mm(layer.o_w, x);
+            if (layer.o_b) { x = ggml_add(ctx0, x, layer.o_b); }
+
+            if (layer.attn_post_norm_w) {
+                x = build_norm(x, layer.attn_post_norm_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            }
+            residual = ggml_add(ctx0, residual, x);
+        }
+
+        // Convolution Module
+        if (layer.norm_conv_w && layer.conv_pw1_w && layer.conv_dw_w && layer.conv_pw2_w) {
+            cur = build_norm(residual, layer.norm_conv_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            auto * x = build_mm(layer.conv_pw1_w, cur);
+
+            // GLU
+            {
+                int64_t d = x->ne[0] / 2;
+                ggml_tensor * gate = ggml_sigmoid(ctx0,
+                    ggml_cont(ctx0, ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], d * x->nb[0])));
+                x = ggml_mul(ctx0,
+                    ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], 0), gate);
+                x = ggml_cont(ctx0, ggml_transpose(ctx0, x));
+            }
+
+            // Causal depthwise Conv1D via ggml_ssm_conv (pad+roll for left-only padding).
+            x = ggml_pad(ctx0, x, 4, 0, 0, 0);
+            x = ggml_roll(ctx0, x, 4, 0, 0, 0);
+            x = ggml_ssm_conv(ctx0, x, layer.conv_dw_w);
+            if (layer.conv_dw_b) {
+                x = ggml_add(ctx0, x, layer.conv_dw_b);
+            }
+
+            if (layer.conv_norm_w) {
+                x = ggml_rms_norm(ctx0, x, norm_eps);
+                x = ggml_mul(ctx0, x, layer.conv_norm_w);
+            }
+            x = ggml_silu(ctx0, x);
+            x = build_mm(layer.conv_pw2_w, x);
+            residual = ggml_add(ctx0, residual, x);
+        }
+
+        // FFN 2 (half-step)
+        if (layer.ff_norm_1_w && layer.ff_up_1_w && layer.ff_down_1_w) {
+            cur = build_norm(residual, layer.ff_norm_1_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            cur = build_ffn(cur,
+                layer.ff_up_1_w, nullptr, nullptr, nullptr,
+                layer.ff_down_1_w, nullptr, FFN_SILU, il);
+            if (layer.ff_post_norm_1_w) {
+                cur = build_norm(cur, layer.ff_post_norm_1_w, nullptr, NORM_TYPE_RMS, norm_eps, il);
+            }
+            residual = ggml_add(ctx0, residual, ggml_scale(ctx0, cur, res_weight));
+        }
+
+        // Layer output norm
+        cur = layer.ln_2_w
+            ? build_norm(residual, layer.ln_2_w, nullptr, NORM_TYPE_RMS, norm_eps, il)
+            : residual;
+
+    }
+
+    // 4. Output Projection
+    if (model.audio_out_proj_w) {
+        cur = build_mm(model.audio_out_proj_w, cur);
+        if (model.audio_out_proj_b) {
+            cur = ggml_add(ctx0, cur, model.audio_out_proj_b);
+        }
+    }
+
+    // 5. Audio Multimodal Embedder
+    cur = ggml_rms_norm(ctx0, cur, norm_eps);
+    if (model.mm_soft_emb_norm_w) {
+        cur = ggml_mul(ctx0, cur, model.mm_soft_emb_norm_w);
+    }
+    if (model.mm_input_proj_w) {
+        cur = build_mm(model.mm_input_proj_w, cur);
+    }
+
+    ggml_build_forward_expand(gf, cur);
+    return gf;
+}
+
+ggml_tensor * clip_graph_gemma4a::build_mm(ggml_tensor * w, ggml_tensor * x) const {
+    auto it = model.clamp_info_map.find(w->name);
+    if (it == model.clamp_info_map.end()) {
+        return ggml_mul_mat(ctx0, w, x);
+    }
+    const auto & ci = it->second;
+    ggml_tensor * clamped = ggml_clamp(ctx0, x, ci.inp_min, ci.inp_max);
+    ggml_tensor * out = ggml_mul_mat(ctx0, w, clamped);
+    return ggml_clamp(ctx0, out, ci.out_min, ci.out_max);
+}
diff --git a/tools/mtmd/models/granite-speech.cpp b/tools/mtmd/models/granite-speech.cpp
new file mode 100644
index 000000000..c7e3794a4
--- /dev/null
+++ b/tools/mtmd/models/granite-speech.cpp
@@ -0,0 +1,275 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_granite_speech::build() {
+    const int n_frames     = img.nx;
+    const int context_size = hparams.audio_chunk_size;
+    const int ctc_layer    = n_layer / 2;
+    const int conv_kernel  = hparams.audio_conv_kernel_size;
+    const int conv_pad     = conv_kernel / 2;
+
+    const int num_blocks   = (n_frames + context_size - 1) / context_size;
+    const int padded_len   = num_blocks * context_size;
+    const int remainder    = n_frames % context_size;
+
+    ggml_tensor * attn_dists = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, context_size * context_size);
+    ggml_set_name(attn_dists, "attn_dists");
+    ggml_set_input(attn_dists);
+
+    ggml_tensor * attn_mask = nullptr;
+    if (remainder > 0) {
+        attn_mask = ggml_new_tensor_4d(ctx0, GGML_TYPE_F32,
+            context_size, context_size, 1, num_blocks);
+        ggml_set_name(attn_mask, "attn_mask");
+        ggml_set_input(attn_mask);
+    }
+
+    ggml_tensor * inp = build_inp_raw(1);
+    auto * cur = ggml_cont(ctx0, ggml_transpose(ctx0, inp));
+    cb(cur, "inp_transposed", -1);
+
+    cur = build_mm(model.inp_proj_w, cur);
+    cur = ggml_add(ctx0, cur, model.inp_proj_b);
+    cb(cur, "inp_linear", -1);
+
+    for (int il = 0; il < n_layer; il++) {
+        const auto & layer = model.layers[il];
+        auto * residual = cur;
+
+        // ffn1 (half-step)
+        {
+            auto * ffn1 = build_norm(cur, layer.ff_norm_w, layer.ff_norm_b,
+                                     NORM_TYPE_NORMAL, eps, il);
+            cb(ffn1, "ffn1_norm", il);
+
+            ffn1 = build_ffn(ffn1,
+                layer.ff_up_w, layer.ff_up_b,
+                nullptr, nullptr,
+                layer.ff_down_w, layer.ff_down_b,
+                FFN_SILU, il);
+            cb(ffn1, "ffn1_out", il);
+
+            residual = ggml_add(ctx0, residual, ggml_scale(ctx0, ffn1, 0.5f));
+            cb(residual, "ffn1_residual", il);
+        }
+
+        // build_attn not used here: Shaw RPE needs pos_attn = mul_mat(pos_emb, Q)
+        // injected between KQ product and softmax, which build_attn doesn't support
+        {
+            auto * normed = build_norm(residual, layer.ln_1_w, layer.ln_1_b,
+                                       NORM_TYPE_NORMAL, eps, il);
+            cb(normed, "attn_norm", il);
+
+            if (n_frames < padded_len) {
+                normed = ggml_pad(ctx0, normed, 0, padded_len - n_frames, 0, 0);
+            }
+
+            ggml_tensor * Q = build_mm(layer.q_w, normed);
+            ggml_tensor * K = build_mm(layer.k_w, normed);
+            ggml_tensor * V = build_mm(layer.v_w, normed);
+
+            Q = ggml_reshape_4d(ctx0, Q, d_head, n_head, context_size, num_blocks);
+            K = ggml_reshape_4d(ctx0, K, d_head, n_head, context_size, num_blocks);
+            V = ggml_reshape_4d(ctx0, V, d_head, n_head, context_size, num_blocks);
+
+            ggml_tensor * Q_perm = ggml_permute(ctx0, Q, 0, 2, 1, 3);
+            ggml_tensor * K_perm = ggml_cont(ctx0, ggml_permute(ctx0, K, 0, 2, 1, 3));
+
+            ggml_tensor * kq = ggml_mul_mat(ctx0, K_perm, Q_perm);
+
+            // Shaw RPE: pos_emb ne[2]=1 broadcasts against Q ne[2]=num_blocks in mul_mat
+            ggml_tensor * pos_emb = ggml_get_rows(ctx0, layer.attn_rel_pos_emb, attn_dists);
+            pos_emb = ggml_reshape_3d(ctx0, pos_emb, d_head, context_size, context_size);
+            pos_emb = ggml_reshape_4d(ctx0, pos_emb, d_head, context_size, 1, context_size);
+
+            ggml_tensor * Q_shaw = ggml_permute(ctx0, Q, 0, 1, 3, 2);
+            ggml_tensor * pos_attn = ggml_mul_mat(ctx0, pos_emb, Q_shaw);
+            pos_attn = ggml_cont(ctx0, ggml_permute(ctx0, pos_attn, 0, 2, 3, 1));
+
+            ggml_tensor * scores = ggml_add(ctx0, kq, pos_attn);
+            ggml_tensor * attn_weights = ggml_soft_max_ext(ctx0, scores, attn_mask,
+                                                            kq_scale, 0.0f);
+
+            ggml_tensor * V_perm = ggml_cont(ctx0, ggml_permute(ctx0, V, 1, 2, 0, 3));
+            ggml_tensor * attn_out = ggml_mul_mat(ctx0, V_perm, attn_weights);
+
+            attn_out = ggml_permute(ctx0, attn_out, 0, 2, 1, 3);
+            attn_out = ggml_cont_2d(ctx0, attn_out, n_embd, padded_len);
+
+            if (n_frames < padded_len) {
+                attn_out = ggml_view_2d(ctx0, attn_out,
+                    n_embd, n_frames, attn_out->nb[1], 0);
+            }
+
+            cur = build_mm(layer.o_w, attn_out);
+            cur = ggml_add(ctx0, cur, layer.o_b);
+            cb(cur, "attn_out", il);
+        }
+
+        residual = ggml_add(ctx0, residual, cur);
+
+        // conv module
+        {
+            cur = build_norm(residual, layer.norm_conv_w, layer.norm_conv_b,
+                             NORM_TYPE_NORMAL, eps, il);
+            cb(cur, "conv_norm", il);
+
+            auto * x = build_mm(layer.conv_pw1_w, cur);
+            x = ggml_add(ctx0, x, layer.conv_pw1_b);
+            cb(x, "conv_pw1", il);
+
+            // GLU: ggml has no fused op, manual split + sigmoid gate
+            {
+                int64_t d = x->ne[0] / 2;
+                ggml_tensor * gate = ggml_sigmoid(ctx0,
+                    ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], d * x->nb[0]));
+                x = ggml_mul(ctx0,
+                    ggml_view_2d(ctx0, x, d, x->ne[1], x->nb[1], 0), gate);
+                x = ggml_cont(ctx0, ggml_transpose(ctx0, x));
+            }
+            cb(x, "conv_glu", il);
+
+            x = ggml_pad(ctx0, x, conv_pad, 0, 0, 0);
+            x = ggml_roll(ctx0, x, conv_pad, 0, 0, 0);
+            x = ggml_pad(ctx0, x, conv_pad, 0, 0, 0);
+            x = ggml_ssm_conv(ctx0, x, layer.conv_dw_w);
+            cb(x, "conv_dw", il);
+
+            // folded batch norm
+            x = ggml_add(ctx0, ggml_mul(ctx0, x, layer.conv_norm_w), layer.conv_norm_b);
+            x = ggml_silu(ctx0, x);
+            cb(x, "conv_bn_silu", il);
+
+            x = build_mm(layer.conv_pw2_w, x);
+            x = ggml_add(ctx0, x, layer.conv_pw2_b);
+            cb(x, "conv_pw2", il);
+
+            cur = x;
+        }
+
+        residual = ggml_add(ctx0, residual, cur);
+
+        // ffn2 (half-step)
+        {
+            auto * ffn2 = build_norm(residual, layer.ff_norm_1_w, layer.ff_norm_1_b,
+                                     NORM_TYPE_NORMAL, eps, il);
+            cb(ffn2, "ffn2_norm", il);
+
+            ffn2 = build_ffn(ffn2,
+                layer.ff_up_1_w, layer.ff_up_1_b,
+                nullptr, nullptr,
+                layer.ff_down_1_w, layer.ff_down_1_b,
+                FFN_SILU, il);
+            cb(ffn2, "ffn2_out", il);
+
+            residual = ggml_add(ctx0, residual, ggml_scale(ctx0, ffn2, 0.5f));
+        }
+
+        cur = build_norm(residual, layer.ln_2_w, layer.ln_2_b,
+                         NORM_TYPE_NORMAL, eps, il);
+        cb(cur, "layer_out", il);
+
+        // CTC branch
+        if (il + 1 == ctc_layer) {
+            auto * mid = build_mm(model.ctc_out_w, cur);
+            mid = ggml_add(ctx0, mid, model.ctc_out_b);
+            mid = ggml_soft_max(ctx0, mid);
+            mid = build_mm(model.ctc_out_mid_w, mid);
+            mid = ggml_add(ctx0, mid, model.ctc_out_mid_b);
+            cur = ggml_add(ctx0, cur, mid);
+            cb(cur, "ctc_branch", il);
+        }
+    }
+
+    cb(cur, "encoder_out", -1);
+
+    // QFormer projector
+    {
+        const int window_size     = hparams.audio_proj_window_size;
+        const int num_queries     = window_size / hparams.audio_proj_downsample_rate;
+        const int proj_n_head     = hparams.audio_proj_head_count;
+        const int proj_d_head     = n_embd / proj_n_head;
+        const float proj_kq_scale = 1.0f / sqrtf((float)proj_d_head);
+        const float proj_eps      = 1e-12f;
+        const int nblocks_proj    = (n_frames + window_size - 1) / window_size;
+        const int padded_proj     = nblocks_proj * window_size;
+
+        if (n_frames < padded_proj) {
+            cur = ggml_pad(ctx0, cur, 0, padded_proj - n_frames, 0, 0);
+        }
+
+        ggml_tensor * enc_windows = ggml_reshape_3d(ctx0, cur, n_embd, window_size, nblocks_proj);
+
+        ggml_tensor * queries = build_norm(model.qf_proj_query,
+            model.qf_proj_norm_w, model.qf_proj_norm_b,
+            NORM_TYPE_NORMAL, proj_eps, -1);
+        {
+            ggml_tensor * q_3d    = ggml_reshape_3d(ctx0, queries, n_embd, num_queries, 1);
+            ggml_tensor * q_shape = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32,
+                n_embd, num_queries, nblocks_proj);
+            queries = ggml_repeat(ctx0, q_3d, q_shape);
+        }
+
+        for (int il = 0; il < (int)model.qf_proj_layers.size(); il++) {
+            const auto & pl = model.qf_proj_layers[il];
+
+            // self-attention
+            {
+                ggml_tensor * Q = ggml_add(ctx0, build_mm(pl.q_w, queries), pl.q_b);
+                ggml_tensor * K = ggml_add(ctx0, build_mm(pl.k_w, queries), pl.k_b);
+                ggml_tensor * V = ggml_add(ctx0, build_mm(pl.v_w, queries), pl.v_b);
+
+                Q = ggml_reshape_4d(ctx0, Q, proj_d_head, proj_n_head, num_queries, nblocks_proj);
+                K = ggml_reshape_4d(ctx0, K, proj_d_head, proj_n_head, num_queries, nblocks_proj);
+                V = ggml_reshape_4d(ctx0, V, proj_d_head, proj_n_head, num_queries, nblocks_proj);
+
+                ggml_tensor * sa_out = build_attn(pl.o_w, pl.o_b,
+                    Q, K, V, nullptr, proj_kq_scale, il);
+                sa_out = ggml_reshape_3d(ctx0, sa_out, n_embd, num_queries, nblocks_proj);
+
+                queries = build_norm(ggml_add(ctx0, sa_out, queries),
+                    pl.ln_1_w, pl.ln_1_b,
+                    NORM_TYPE_NORMAL, proj_eps, il);
+            }
+
+            // cross-attention
+            {
+                ggml_tensor * Q = ggml_add(ctx0, build_mm(pl.cross_attn_q_w, queries), pl.cross_attn_q_b);
+                ggml_tensor * K = ggml_add(ctx0, build_mm(pl.cross_attn_k_w, enc_windows), pl.cross_attn_k_b);
+                ggml_tensor * V = ggml_add(ctx0, build_mm(pl.cross_attn_v_w, enc_windows), pl.cross_attn_v_b);
+
+                Q = ggml_reshape_4d(ctx0, Q, proj_d_head, proj_n_head, num_queries, nblocks_proj);
+                K = ggml_reshape_4d(ctx0, K, proj_d_head, proj_n_head, window_size, nblocks_proj);
+                V = ggml_reshape_4d(ctx0, V, proj_d_head, proj_n_head, window_size, nblocks_proj);
+
+                ggml_tensor * ca_out = build_attn(pl.cross_attn_o_w, pl.cross_attn_o_b,
+                    Q, K, V, nullptr, proj_kq_scale, il);
+                ca_out = ggml_reshape_3d(ctx0, ca_out, n_embd, num_queries, nblocks_proj);
+
+                queries = build_norm(ggml_add(ctx0, ca_out, queries),
+                    pl.cross_attn_norm_w, pl.cross_attn_norm_b,
+                    NORM_TYPE_NORMAL, proj_eps, il);
+            }
+
+            // ffn
+            {
+                ggml_tensor * ffn_out = build_ffn(queries,
+                    pl.ff_up_w, pl.ff_up_b,
+                    nullptr, nullptr,
+                    pl.ff_down_w, pl.ff_down_b,
+                    FFN_GELU, il);
+
+                queries = build_norm(ggml_add(ctx0, ffn_out, queries),
+                    pl.ln_2_w, pl.ln_2_b,
+                    NORM_TYPE_NORMAL, proj_eps, il);
+            }
+        }
+
+        cur = ggml_reshape_2d(ctx0, queries, n_embd, num_queries * nblocks_proj);
+        cur = ggml_add(ctx0, build_mm(model.qf_proj_linear_w, cur), model.qf_proj_linear_b);
+        cb(cur, "projector_out", -1);
+    }
+
+    ggml_build_forward_expand(gf, cur);
+
+    return gf;
+}
diff --git a/tools/mtmd/models/hunyuanocr.cpp b/tools/mtmd/models/hunyuanocr.cpp
index 37d1e2b86..45ed684f7 100644
--- a/tools/mtmd/models/hunyuanocr.cpp
+++ b/tools/mtmd/models/hunyuanocr.cpp
@@ -5,7 +5,21 @@ ggml_cgraph * clip_graph_hunyuanocr::build() {
     const int pw    = n_patches_x;
     const int ph    = n_patches_y;
 
-    ggml_tensor * pos_embd = resize_position_embeddings(GGML_SCALE_MODE_BILINEAR);
+    // Position embedding interpolation.
+    // HunyuanVL needs scale factors sf=(target+0.1)/n_grid, which the standard
+    // ggml_interpolate cannot express. To avoid adding a new ggml op, the
+    // resize is computed on CPU in clip_image_batch_encode and uploaded here
+    // as a graph input (named "hunyuanvl_pos_embd").
+    // HunyuanOCR uses the same square layout and the standard ratio-based
+    // interpolation provided by resize_position_embeddings().
+    ggml_tensor * pos_embd = nullptr;
+    if (proj_type == PROJECTOR_TYPE_HUNYUANVL && model.position_embeddings) {
+        pos_embd = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_embd, ph * pw);
+        ggml_set_name(pos_embd, "hunyuanvl_pos_embd");
+        ggml_set_input(pos_embd);
+    } else {
+        pos_embd = resize_position_embeddings(GGML_SCALE_MODE_BILINEAR);
+    }
 
     ggml_tensor * inp = build_inp();
     ggml_tensor * cur = build_vit(inp, n_patches, NORM_TYPE_NORMAL, hparams.ffn_op, pos_embd, nullptr);
diff --git a/tools/mtmd/models/minicpmv.cpp b/tools/mtmd/models/minicpmv.cpp
index 924117ab2..bac087ffd 100644
--- a/tools/mtmd/models/minicpmv.cpp
+++ b/tools/mtmd/models/minicpmv.cpp
@@ -112,3 +112,294 @@ ggml_cgraph * clip_graph_minicpmv::build() {
 
     return gf;
 }
+
+ggml_cgraph * clip_graph_minicpmv4_6::build() {
+    const int insert_lid = hparams.insert_layer_id;
+    const int n_pos      = n_patches;
+    const int half_h     = n_patches_y / 2;
+    const int half_w     = n_patches_x / 2;
+    const int n_ds       = half_h * half_w;     // after ViT merger 2x2 downsample
+    const int qh         = half_h / 2;
+    const int qw         = half_w / 2;
+    const int n_ds2      = qh * qw;             // after final merger 2x2 downsample
+
+    auto add_i32_input = [&](const char * name, int n) {
+        ggml_tensor * t = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n);
+        ggml_set_name(t, name);
+        ggml_set_input(t);
+        return t;
+    };
+
+    // position indices for ViT learned positional embeddings
+    ggml_tensor * positions = add_i32_input("positions", n_pos);
+    ggml_tensor * learned_pos_embd = ggml_get_rows(ctx0, model.position_embeddings, positions);
+
+    // ViT merger window reorder indices + block-diagonal mask
+    // (mask layout follows qwen2vl: -inf except for 4x4 blocks on the diagonal,
+    // so each window-major group of 4 tokens only attends to itself)
+    ggml_tensor * vit_merger_window_idx     = add_i32_input("vit_merger_window_idx", n_pos);
+    ggml_tensor * vit_merger_inv_window_idx = add_i32_input("vit_merger_inv_window_idx", n_pos);
+    ggml_tensor * vit_merger_window_mask    = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_pos, n_pos);
+    ggml_set_name(vit_merger_window_mask, "vit_merger_window_mask");
+    ggml_set_input(vit_merger_window_mask);
+    if (flash_attn_type == CLIP_FLASH_ATTN_TYPE_ENABLED) {
+        vit_merger_window_mask = ggml_cast(ctx0, vit_merger_window_mask, GGML_TYPE_F16);
+    }
+
+    // ViT merger 2x2 downsample gather indices
+    ggml_tensor * vit_merger_ds_idx_0 = add_i32_input("vit_merger_ds_idx_0", n_ds);
+    ggml_tensor * vit_merger_ds_idx_1 = add_i32_input("vit_merger_ds_idx_1", n_ds);
+    ggml_tensor * vit_merger_ds_idx_2 = add_i32_input("vit_merger_ds_idx_2", n_ds);
+    ggml_tensor * vit_merger_ds_idx_3 = add_i32_input("vit_merger_ds_idx_3", n_ds);
+
+    // final merger 2x2 downsample gather indices
+    ggml_tensor * merger_ds_idx_0 = add_i32_input("merger_ds_idx_0", n_ds2);
+    ggml_tensor * merger_ds_idx_1 = add_i32_input("merger_ds_idx_1", n_ds2);
+    ggml_tensor * merger_ds_idx_2 = add_i32_input("merger_ds_idx_2", n_ds2);
+    ggml_tensor * merger_ds_idx_3 = add_i32_input("merger_ds_idx_3", n_ds2);
+
+    // patch embedding + positional embedding
+    ggml_tensor * inp = build_inp();
+    inp = ggml_add(ctx0, inp, learned_pos_embd);
+    cb(inp, "pos_embed", -1);
+
+    ggml_tensor * inpL = inp;
+    if (model.pre_ln_w) {
+        inpL = build_norm(inpL, model.pre_ln_w, model.pre_ln_b, NORM_TYPE_NORMAL, eps, -1);
+        cb(inpL, "pre_ln", -1);
+    }
+
+    // ViT layers 0..insert_layer_id (inclusive)
+    // Mirrors the separate-qkv path of clip_graph::build_vit so the two manually
+    // unrolled segments around the ViT merger read like build_vit() expansions.
+    for (int il = 0; il <= insert_lid; il++) {
+        auto & layer = model.layers[il];
+        ggml_tensor * cur = inpL;
+
+        cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, eps, il);
+        cb(cur, "layer_inp_normed", il);
+
+        {
+            ggml_tensor * Qcur = build_mm(layer.q_w, cur);
+            if (layer.q_b) {
+                Qcur = ggml_add(ctx0, Qcur, layer.q_b);
+            }
+            ggml_tensor * Kcur = build_mm(layer.k_w, cur);
+            if (layer.k_b) {
+                Kcur = ggml_add(ctx0, Kcur, layer.k_b);
+            }
+            ggml_tensor * Vcur = build_mm(layer.v_w, cur);
+            if (layer.v_b) {
+                Vcur = ggml_add(ctx0, Vcur, layer.v_b);
+            }
+
+            Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos);
+            Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos);
+            Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos);
+            cb(Qcur, "Qcur", il);
+            cb(Kcur, "Kcur", il);
+            cb(Vcur, "Vcur", il);
+
+            cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, nullptr, kq_scale, il);
+            cb(cur, "attn_out", il);
+        }
+
+        if (layer.ls_1_w) {
+            cur = ggml_mul(ctx0, cur, layer.ls_1_w);
+            cb(cur, "attn_out_scaled", il);
+        }
+        cur = ggml_add(ctx0, cur, inpL);
+        inpL = cur;
+        cb(cur, "ffn_inp", il);
+
+        cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, NORM_TYPE_NORMAL, eps, il);
+        cb(cur, "ffn_inp_normed", il);
+
+        cur = build_ffn(cur, layer.ff_up_w, layer.ff_up_b, layer.ff_gate_w, layer.ff_gate_b,
+                        layer.ff_down_w, layer.ff_down_b, hparams.ffn_op, il);
+        cb(cur, "ffn_out", il);
+
+        if (layer.ls_2_w) {
+            cur = ggml_mul(ctx0, cur, layer.ls_2_w);
+            cb(cur, "ffn_out_scaled", il);
+        }
+        cur = ggml_add(ctx0, inpL, cur);
+        cb(cur, "layer_out", il);
+
+        inpL = cur;
+    }
+
+    // ViT merger: window self-attention
+    // Tokens are reordered to window-major (4 tokens per window are contiguous),
+    // and a block-diagonal mask restricts attention to within each window. This
+    // mirrors the qwen2vl windowed-attention pattern so build_attn() can pick the
+    // flash-attention path when available.
+    {
+        ggml_tensor * residual = inpL;
+        ggml_tensor * cur = build_norm(inpL,
+            model.vit_merger_ln1_w, model.vit_merger_ln1_b,
+            NORM_TYPE_NORMAL, eps, -1);
+        cb(cur, "vit_merger_attn_inp_normed", -1);
+
+        cur = ggml_get_rows(ctx0, cur, vit_merger_window_idx);
+        cb(cur, "vit_merger_window_reorder", -1);
+
+        ggml_tensor * Qcur = build_mm(model.vit_merger_attn_q_w, cur);
+        if (model.vit_merger_attn_q_b) {
+            Qcur = ggml_add(ctx0, Qcur, model.vit_merger_attn_q_b);
+        }
+        ggml_tensor * Kcur = build_mm(model.vit_merger_attn_k_w, cur);
+        if (model.vit_merger_attn_k_b) {
+            Kcur = ggml_add(ctx0, Kcur, model.vit_merger_attn_k_b);
+        }
+        ggml_tensor * Vcur = build_mm(model.vit_merger_attn_v_w, cur);
+        if (model.vit_merger_attn_v_b) {
+            Vcur = ggml_add(ctx0, Vcur, model.vit_merger_attn_v_b);
+        }
+
+        Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos);
+        Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos);
+        Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos);
+        cb(Qcur, "vit_merger_Qcur", -1);
+        cb(Kcur, "vit_merger_Kcur", -1);
+        cb(Vcur, "vit_merger_Vcur", -1);
+
+        cur = build_attn(model.vit_merger_attn_o_w, model.vit_merger_attn_o_b,
+                         Qcur, Kcur, Vcur, vit_merger_window_mask, kq_scale, -1);
+        cb(cur, "vit_merger_attn_out", -1);
+
+        cur = ggml_get_rows(ctx0, cur, vit_merger_inv_window_idx);
+        inpL = ggml_add(ctx0, cur, residual);
+        cb(inpL, "vit_merger_attn_residual", -1);
+    }
+
+    // ViT merger: 2x2 spatial downsample + MLP (4 tokens -> 1)
+    {
+        ggml_tensor * p0 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_0);
+        ggml_tensor * p1 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_1);
+        ggml_tensor * p2 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_2);
+        ggml_tensor * p3 = ggml_get_rows(ctx0, inpL, vit_merger_ds_idx_3);
+
+        ggml_tensor * mean_res = ggml_add(ctx0, p0, p1);
+        mean_res = ggml_add(ctx0, mean_res, p2);
+        mean_res = ggml_add(ctx0, mean_res, p3);
+        mean_res = ggml_scale(ctx0, mean_res, 0.25f);
+        cb(mean_res, "vit_merger_ds_mean_res", -1);
+
+        ggml_tensor * cat = ggml_concat(ctx0, p0, p1, 0);
+        cat = ggml_concat(ctx0, cat, p2, 0);
+        cat = ggml_concat(ctx0, cat, p3, 0);
+
+        ggml_tensor * cur = build_norm(cat,
+            model.vit_merger_ds_ln_w, model.vit_merger_ds_ln_b,
+            NORM_TYPE_NORMAL, eps, -1);
+        cb(cur, "vit_merger_ds_normed", -1);
+
+        // ViTWindowAttentionMerger downsample MLP uses gelu_pytorch_tanh (FFN_GELU)
+        cur = build_ffn(cur,
+            model.vit_merger_ds_up_w,   model.vit_merger_ds_up_b,
+            nullptr, nullptr,
+            model.vit_merger_ds_down_w, model.vit_merger_ds_down_b,
+            FFN_GELU, -1);
+        cb(cur, "vit_merger_ds_mlp_out", -1);
+
+        inpL = ggml_add(ctx0, cur, mean_res);
+        cb(inpL, "vit_merger_ds_out", -1);
+    }
+
+    // ViT layers (insert_layer_id+1)..n_layer-1, operating on the downsampled tokens
+    {
+        const int64_t n_pos_ds = n_ds;
+        for (int il = insert_lid + 1; il < n_layer; il++) {
+            auto & layer = model.layers[il];
+            ggml_tensor * cur = inpL;
+
+            cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, NORM_TYPE_NORMAL, eps, il);
+            cb(cur, "layer_inp_normed", il);
+
+            {
+                ggml_tensor * Qcur = build_mm(layer.q_w, cur);
+                if (layer.q_b) {
+                    Qcur = ggml_add(ctx0, Qcur, layer.q_b);
+                }
+                ggml_tensor * Kcur = build_mm(layer.k_w, cur);
+                if (layer.k_b) {
+                    Kcur = ggml_add(ctx0, Kcur, layer.k_b);
+                }
+                ggml_tensor * Vcur = build_mm(layer.v_w, cur);
+                if (layer.v_b) {
+                    Vcur = ggml_add(ctx0, Vcur, layer.v_b);
+                }
+
+                Qcur = ggml_reshape_3d(ctx0, Qcur, d_head, n_head, n_pos_ds);
+                Kcur = ggml_reshape_3d(ctx0, Kcur, d_head, n_head, n_pos_ds);
+                Vcur = ggml_reshape_3d(ctx0, Vcur, d_head, n_head, n_pos_ds);
+                cb(Qcur, "Qcur", il);
+                cb(Kcur, "Kcur", il);
+                cb(Vcur, "Vcur", il);
+
+                cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, nullptr, kq_scale, il);
+                cb(cur, "attn_out", il);
+            }
+
+            if (layer.ls_1_w) {
+                cur = ggml_mul(ctx0, cur, layer.ls_1_w);
+                cb(cur, "attn_out_scaled", il);
+            }
+            cur = ggml_add(ctx0, cur, inpL);
+            inpL = cur;
+            cb(cur, "ffn_inp", il);
+
+            cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, NORM_TYPE_NORMAL, eps, il);
+            cb(cur, "ffn_inp_normed", il);
+
+            cur = build_ffn(cur, layer.ff_up_w, layer.ff_up_b, layer.ff_gate_w, layer.ff_gate_b,
+                            layer.ff_down_w, layer.ff_down_b, hparams.ffn_op, il);
+            cb(cur, "ffn_out", il);
+
+            if (layer.ls_2_w) {
+                cur = ggml_mul(ctx0, cur, layer.ls_2_w);
+                cb(cur, "ffn_out_scaled", il);
+            }
+            cur = ggml_add(ctx0, inpL, cur);
+            cb(cur, "layer_out", il);
+
+            inpL = cur;
+        }
+    }
+
+    if (model.post_ln_w) {
+        inpL = build_norm(inpL, model.post_ln_w, model.post_ln_b, NORM_TYPE_NORMAL, eps, -1);
+        cb(inpL, "post_ln", -1);
+    }
+
+    // Final Merger (DownsampleMLP): another 2x2 spatial merge -> projector embedding
+    {
+        ggml_tensor * p0 = ggml_get_rows(ctx0, inpL, merger_ds_idx_0);
+        ggml_tensor * p1 = ggml_get_rows(ctx0, inpL, merger_ds_idx_1);
+        ggml_tensor * p2 = ggml_get_rows(ctx0, inpL, merger_ds_idx_2);
+        ggml_tensor * p3 = ggml_get_rows(ctx0, inpL, merger_ds_idx_3);
+
+        ggml_tensor * cat = ggml_concat(ctx0, p0, p1, 0);
+        cat = ggml_concat(ctx0, cat, p2, 0);
+        cat = ggml_concat(ctx0, cat, p3, 0);
+
+        ggml_tensor * cur = build_norm(cat,
+            model.mm_input_norm_w, model.mm_input_norm_b,
+            NORM_TYPE_NORMAL, eps, -1);
+        cb(cur, "merger_normed", -1);
+
+        // MiniCPMV4_6DownsampleMLP uses nn.GELU() (erf-based, FFN_GELU_ERF)
+        cur = build_ffn(cur,
+            model.mm_ffn_up_w,   model.mm_ffn_up_b,
+            nullptr, nullptr,
+            model.mm_ffn_down_w, model.mm_ffn_down_b,
+            FFN_GELU_ERF, -1);
+        cb(cur, "merger_out", -1);
+
+        inpL = cur;
+    }
+
+    ggml_build_forward_expand(gf, inpL);
+    return gf;
+}
diff --git a/tools/mtmd/models/models.h b/tools/mtmd/models/models.h
index 6f9632b62..dbba233b1 100644
--- a/tools/mtmd/models/models.h
+++ b/tools/mtmd/models/models.h
@@ -33,16 +33,34 @@ struct clip_graph_qwen3vl : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_step3vl : clip_graph {
+    clip_graph_step3vl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_youtuvl : clip_graph {
     clip_graph_youtuvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_yasa2 : clip_graph {
+    clip_graph_yasa2(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+
+    ggml_tensor * layer_norm_channels(ggml_tensor * inp, ggml_tensor * w, ggml_tensor * b, float eps = 1e-6f);
+    ggml_tensor * convnext_grn(ggml_tensor * inp, ggml_tensor * w, ggml_tensor * b);
+};
+
 struct clip_graph_minicpmv : clip_graph {
     clip_graph_minicpmv(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_minicpmv4_6 : clip_graph {
+    clip_graph_minicpmv4_6(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_internvl : clip_graph {
     clip_graph_internvl(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -68,6 +86,11 @@ struct clip_graph_paddleocr : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_dotsocr : clip_graph {
+    clip_graph_dotsocr(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_cogvlm : clip_graph {
     clip_graph_cogvlm(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -93,6 +116,17 @@ struct clip_graph_conformer : clip_graph {
     ggml_cgraph * build() override;
 };
 
+struct clip_graph_granite_speech : clip_graph {
+    clip_graph_granite_speech(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
+struct clip_graph_gemma4a : clip_graph {
+    clip_graph_gemma4a(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+    ggml_tensor * build_mm(ggml_tensor * w, ggml_tensor * x) const override;
+};
+
 struct clip_graph_glm4v : clip_graph {
     clip_graph_glm4v(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
@@ -136,6 +170,11 @@ struct clip_graph_mobilenetv5 : clip_graph {
         const mobilenetv5_block & block);
 };
 
+struct clip_graph_qwen3a : clip_graph {
+    clip_graph_qwen3a(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
+    ggml_cgraph * build() override;
+};
+
 struct clip_graph_kimik25 : clip_graph {
     clip_graph_kimik25(clip_ctx * ctx, const clip_image_f32 & img) : clip_graph(ctx, img) {}
     ggml_cgraph * build() override;
diff --git a/tools/mtmd/models/qwen3a.cpp b/tools/mtmd/models/qwen3a.cpp
new file mode 100644
index 000000000..1384e5155
--- /dev/null
+++ b/tools/mtmd/models/qwen3a.cpp
@@ -0,0 +1,68 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_qwen3a::build() {
+    ggml_tensor * inp = build_inp_raw(1);
+
+    // conv2d block
+    // TODO: do we need to split by chunks of n_window each like on transformers impl?
+    {
+        inp = ggml_conv_2d(ctx0, model.conv2d_1_w, inp, 2, 2, 1, 1, 1, 1);
+        inp = ggml_add(ctx0, inp, model.conv2d_1_b);
+        inp = ggml_gelu_erf(ctx0, inp);
+
+        inp = ggml_conv_2d(ctx0, model.conv2d_2_w, inp, 2, 2, 1, 1, 1, 1);
+        inp = ggml_add(ctx0, inp, model.conv2d_2_b);
+        inp = ggml_gelu_erf(ctx0, inp);
+
+        inp = ggml_conv_2d(ctx0, model.conv2d_3_w, inp, 2, 2, 1, 1, 1, 1);
+        inp = ggml_add(ctx0, inp, model.conv2d_3_b);
+        inp = ggml_gelu_erf(ctx0, inp);
+
+        // inp [n_pos, n_mels/8, channels, 1] (W, H, C, N)
+        cb(inp, "after_conv_blocks", -1);
+
+        const int64_t n_pos_after_conv = inp->ne[0];
+        const int64_t n_mel_after_conv = inp->ne[1]; // 128/8 = 16
+
+        inp = ggml_cont(ctx0, ggml_permute(ctx0, inp, 0, 2, 3, 1));
+        inp = ggml_reshape_2d(ctx0, inp, n_pos_after_conv, n_mel_after_conv * inp->ne[3]); // [n_pos, 7680]
+        inp = ggml_cont(ctx0, ggml_transpose(ctx0, inp)); // [7680, n_pos]
+
+        // project to n_embd
+        inp = ggml_mul_mat(ctx0, model.conv_out_w, inp);
+        if (model.conv_out_b) {
+            inp = ggml_add(ctx0, inp, model.conv_out_b);
+        }
+        cb(inp, "after_conv_out", -1);
+    }
+
+    auto n_pos = inp->ne[1];
+
+    ggml_tensor * pos_embd_selected = ggml_view_2d(
+        ctx0, model.position_embeddings,
+        model.position_embeddings->ne[0], n_pos,
+        model.position_embeddings->nb[1], 0
+    );
+    ggml_tensor * cur = build_vit(
+                            inp, n_pos,
+                            NORM_TYPE_NORMAL,
+                            hparams.ffn_op,
+                            pos_embd_selected,
+                            nullptr);
+
+    cb(cur, "after_transformer", -1);
+
+    // projector
+    cur = build_ffn(cur,
+        model.mm_1_w, model.mm_1_b,
+        nullptr, nullptr,
+        model.mm_2_w, model.mm_2_b,
+        FFN_GELU_ERF,
+        -1);
+
+    cb(cur, "projected", -1);
+
+    ggml_build_forward_expand(gf, cur);
+
+    return gf;
+}
diff --git a/tools/mtmd/models/step3vl.cpp b/tools/mtmd/models/step3vl.cpp
new file mode 100644
index 000000000..5142b0bba
--- /dev/null
+++ b/tools/mtmd/models/step3vl.cpp
@@ -0,0 +1,81 @@
+#include "models.h"
+
+ggml_cgraph * clip_graph_step3vl::build() {
+    GGML_ASSERT(model.class_embedding == nullptr);
+    GGML_ASSERT(model.patch_embeddings_0 != nullptr);
+    GGML_ASSERT(model.position_embeddings != nullptr);
+
+    norm_type norm_t = NORM_TYPE_NORMAL;
+
+    ggml_tensor * pos_h = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_patches);
+    ggml_set_name(pos_h, "pos_h");
+    ggml_set_input(pos_h);
+
+    ggml_tensor * pos_w = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_patches);
+    ggml_set_name(pos_w, "pos_w");
+    ggml_set_input(pos_w);
+
+    ggml_tensor * inp = build_inp();
+    ggml_tensor * learned_pos_embd = resize_position_embeddings();
+
+    auto add_pos = [&](ggml_tensor * cur, const clip_layer &) {
+        return build_rope_2d(ctx0, cur, pos_w, pos_h, hparams.rope_theta, false);
+    };
+
+    auto add_spatial_bias = [&](ggml_tensor * cur, ggml_tensor * bias) {
+        if (bias == nullptr) {
+            return cur;
+        }
+
+        const int64_t width    = cur->ne[0];
+        const int64_t height   = cur->ne[1];
+        const int64_t channels = cur->ne[2];
+
+        cur = ggml_reshape_2d(ctx0, cur, width * height, channels);
+        cur = ggml_cont(ctx0, ggml_transpose(ctx0, cur));
+        cur = ggml_add(ctx0, cur, bias);
+        cur = ggml_cont(ctx0, ggml_transpose(ctx0, cur));
+        cur = ggml_reshape_3d(ctx0, cur, width, height, channels);
+
+        return cur;
+    };
+
+    ggml_tensor * cur = build_vit(
+        inp,
+        n_patches,
+        norm_t,
+        hparams.ffn_op,
+        learned_pos_embd,
+        add_pos);
+    cb(cur, "vit_out", -1);
+
+    // [n_embd, n_patches] -> [w, h, n_embd] for spatial downsampling convolutions.
+    cur = ggml_permute(ctx0, cur, 1, 0, 2, 3);
+    cur = ggml_cont_3d(ctx0, cur, n_patches_x, n_patches_y, n_embd);
+
+    // First downsampler: Conv2d(1536 -> 3072, k=3, s=2, p=1)
+    cur = ggml_conv_2d(ctx0, model.mm_0_w, cur, 2, 2, 1, 1, 1, 1);
+    cur = add_spatial_bias(cur, model.mm_0_b);
+    cb(cur, "downsample_0", -1);
+
+    // Second downsampler: Conv2d(3072 -> 6144, k=3, s=2, p=1)
+    cur = ggml_conv_2d(ctx0, model.mm_1_w, cur, 2, 2, 1, 1, 1, 1);
+    cur = add_spatial_bias(cur, model.mm_1_b);
+    cb(cur, "downsample_1", -1);
+
+    // [w, h, c] -> [c, w*h]
+    {
+        const int64_t w = cur->ne[0];
+        const int64_t h = cur->ne[1];
+        cur = ggml_reshape_3d(ctx0, cur, w * h, cur->ne[2], cur->ne[3]);
+        cur = ggml_cont(ctx0, ggml_permute(ctx0, cur, 1, 0, 2, 3));
+    }
+    cb(cur, "downsample_flatten", -1);
+
+    // Final projector: Linear(6144 -> projection_dim)
+    cur = ggml_mul_mat(ctx0, model.mm_model_proj, cur);
+    cb(cur, "projector_out", -1);
+
+    ggml_build_forward_expand(gf, cur);
+    return gf;
+}
diff --git a/tools/mtmd/models/whisper-enc.cpp b/tools/mtmd/models/whisper-enc.cpp
index ed61bb05b..2a82ae50b 100644
--- a/tools/mtmd/models/whisper-enc.cpp
+++ b/tools/mtmd/models/whisper-enc.cpp
@@ -95,6 +95,28 @@ ggml_cgraph * clip_graph_whisper_enc::build() {
             FFN_GELU_ERF,
             -1);
 
+    } else if (proj_type == PROJECTOR_TYPE_MERALION) {
+        // stack (above) -> ln -> linear0+silu -> GLU -> out
+        cur = ggml_norm(ctx0, cur, hparams.eps);
+        cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
+        cur = ggml_add(ctx0, cur, model.mm_norm_pre_b);
+
+        cur = ggml_mul_mat(ctx0, model.mm_0_w, cur);
+        cur = ggml_add(ctx0, cur, model.mm_0_b);
+        cur = ggml_silu(ctx0, cur);
+
+        ggml_tensor * gate = ggml_mul_mat(ctx0, model.mm_1_w, cur);
+        gate = ggml_add(ctx0, gate, model.mm_1_b);
+        gate = ggml_silu(ctx0, gate);
+
+        ggml_tensor * pool = ggml_mul_mat(ctx0, model.mm_2_w, cur);
+        pool = ggml_add(ctx0, pool, model.mm_2_b);
+
+        cur = ggml_mul(ctx0, gate, pool);
+
+        cur = ggml_mul_mat(ctx0, model.mm_3_w, cur);
+        cur = ggml_add(ctx0, cur, model.mm_3_b);
+
     } else if (proj_type == PROJECTOR_TYPE_GLMA) {
             cur = ggml_norm(ctx0, cur, hparams.eps);
             cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
diff --git a/tools/mtmd/models/yasa2.cpp b/tools/mtmd/models/yasa2.cpp
new file mode 100644
index 000000000..e8cd3dacb
--- /dev/null
+++ b/tools/mtmd/models/yasa2.cpp
@@ -0,0 +1,191 @@
+// ABOUTME: Yasa2 vision encoder graph builder for ConvNeXt-based architecture.
+// ABOUTME: Implements patch embedding, ConvNeXt stages with GRN, and adaptive pooling.
+
+#include "models.h"
+
+static ggml_tensor * add_channel_bias(
+        ggml_context * ctx0,
+        ggml_tensor * x_whcb,
+        ggml_tensor * b_c) {
+    if (!b_c) {
+        return x_whcb;
+    }
+    ggml_tensor * b4 = ggml_reshape_4d(ctx0, b_c, 1, 1, b_c->ne[0], 1);
+    return ggml_add(ctx0, x_whcb, b4);
+}
+
+static ggml_tensor * mul_channel_weight(
+        ggml_context * ctx0,
+        ggml_tensor * x_whcb,
+        ggml_tensor * w_c) {
+    if (!w_c) {
+        return x_whcb;
+    }
+    ggml_tensor * w4 = ggml_reshape_4d(ctx0, w_c, 1, 1, w_c->ne[0], 1);
+    return ggml_mul(ctx0, x_whcb, w4);
+}
+
+ggml_tensor * clip_graph_yasa2::layer_norm_channels(ggml_tensor * inp, ggml_tensor * w, ggml_tensor * b, float eps) {
+    // Match HF ConvNextLayerNorm(channels_first):
+    // u = mean_c(x), s = mean_c((x-u)^2), x = (x-u)/sqrt(s+eps)
+    // cast back to input dtype before affine.
+    ggml_tensor * cur = ggml_permute(ctx0, inp, 2, 1, 0, 3); // [W,H,C,B] -> [C,H,W,B]
+    cur = ggml_cont(ctx0, cur);
+
+    ggml_tensor * u = ggml_mean(ctx0, cur);                 // [1,H,W,B]
+    ggml_tensor * xm = ggml_sub(ctx0, cur, u);              // [C,H,W,B]
+
+    ggml_tensor * s = ggml_mul(ctx0, xm, xm);               // [C,H,W,B]
+    s = ggml_mean(ctx0, s);                                 // [1,H,W,B]
+    s = ggml_clamp(ctx0, s, eps, 1e30f);                    // avoid div-by-zero in no-alloc warmup
+    s = ggml_sqrt(ctx0, s);                                 // [1,H,W,B]
+
+    ggml_tensor * xhat = ggml_div(ctx0, xm, s);             // [C,H,W,B]
+    xhat = ggml_permute(ctx0, xhat, 2, 1, 0, 3);            // [W,H,C,B]
+    xhat = ggml_cont(ctx0, xhat);
+    xhat = mul_channel_weight(ctx0, xhat, w);
+    xhat = add_channel_bias(ctx0, xhat, b);
+    return xhat;
+}
+
+ggml_tensor * clip_graph_yasa2::convnext_grn(ggml_tensor * inp, ggml_tensor * w, ggml_tensor * b) {
+    // Exact ConvNeXtV2 GRN:
+    // Gx = ||x||_2 over spatial dims (W,H), Nx = Gx / (mean_c(Gx) + eps)
+    // y  = w * (x * Nx) + b + x
+    const int64_t wdim = inp->ne[0];
+    const int64_t hdim = inp->ne[1];
+    const int64_t cdim = inp->ne[2];
+    const int64_t bdim = inp->ne[3];
+
+    // Keep GRN math in fp32 for stability; fp16/bf16 accumulation can drift.
+    ggml_tensor * sq = ggml_mul(ctx0, inp, inp);
+    ggml_tensor * sq_flat = ggml_reshape_4d(ctx0, sq, wdim * hdim, cdim, 1, bdim);   // [WH,C,1,B]
+    ggml_tensor * gx = ggml_sum_rows(ctx0, sq_flat);                                   // [1,C,1,B]
+    gx = ggml_sqrt(ctx0, gx);                                                           // [1,C,1,B]
+
+    ggml_tensor * gx_ch_first = ggml_permute(ctx0, gx, 1, 0, 2, 3);                    // [C,1,1,B]
+    gx_ch_first = ggml_cont(ctx0, gx_ch_first);
+    ggml_tensor * gx_mean = ggml_mean(ctx0, gx_ch_first);                              // [1,1,1,B]
+
+    gx_mean = ggml_clamp(ctx0, gx_mean, 1e-6f, 1e30f);                                  // approx +eps, warmup-safe
+    ggml_tensor * nx = ggml_div(ctx0, gx, gx_mean);                                    // [1,C,1,B]
+    nx = ggml_permute(ctx0, nx, 0, 2, 1, 3);                                            // [1,1,C,B]
+    nx = ggml_cont(ctx0, nx);
+
+    ggml_tensor * xnx = ggml_mul(ctx0, inp, nx);
+    xnx = mul_channel_weight(ctx0, xnx, w);
+    xnx = add_channel_bias(ctx0, xnx, b);
+    return ggml_add(ctx0, inp, xnx);
+}
+
+ggml_cgraph * clip_graph_yasa2::build() {
+    ggml_tensor * cur = build_inp_raw();
+
+    // Patch embedding Conv2d(kernel=4, stride=4)
+    cur = ggml_conv_2d(ctx0, model.yasa_patch_w, cur, patch_size, patch_size, 0, 0, 1, 1);
+    cur = add_channel_bias(ctx0, cur, model.yasa_patch_b);
+    ggml_set_name(cur, "yasa2_patch_conv_out");
+    cb(cur, "yasa2_patch_conv_out", -1);
+    cur = layer_norm_channels(cur, model.yasa_patch_ln_w, model.yasa_patch_ln_b, eps);
+    ggml_set_name(cur, "yasa2_patch_ln_out");
+    cb(cur, "yasa2_patch_ln_out", -1);
+
+    // ConvNeXt stages
+    for (size_t s = 0; s < model.yasa_stages.size(); ++s) {
+        const auto & stage = model.yasa_stages[s];
+
+        if (stage.down_conv_w) {
+            cur = layer_norm_channels(cur, stage.down_ln_w, stage.down_ln_b, eps);
+            cur = ggml_conv_2d(ctx0, stage.down_conv_w, cur, 2, 2, 0, 0, 1, 1);
+            cur = add_channel_bias(ctx0, cur, stage.down_conv_b);
+            ggml_format_name(cur, "yasa2_stage%zu_down_out", s);
+        }
+
+        for (size_t bi = 0; bi < stage.blocks.size(); ++bi) {
+            const auto & blk = stage.blocks[bi];
+            ggml_tensor * res = cur;
+
+            ggml_tensor * x = ggml_conv_2d_dw(ctx0, blk.dw_w, cur, 1, 1, 3, 3, 1, 1);
+            x = add_channel_bias(ctx0, x, blk.dw_b);
+            x = layer_norm_channels(x, blk.ln_w, blk.ln_b, eps);
+
+            // pwconv1/pwconv2 are HF Linear layers over channels; implement via matmul on tokens.
+            const int64_t w = x->ne[0];
+            const int64_t h = x->ne[1];
+            const int64_t b = x->ne[3];
+
+            ggml_tensor * tok = ggml_reshape_3d(ctx0, x, w * h, x->ne[2], b); // [T,C,B]
+            tok = ggml_permute(ctx0, tok, 1, 0, 2, 3);                        // [C,T,B]
+            tok = ggml_cont(ctx0, tok);
+
+            tok = ggml_mul_mat(ctx0, blk.pw1_w, tok);                         // [4C,T,B]
+            if (blk.pw1_b) {
+                ggml_tensor * b1 = ggml_reshape_3d(ctx0, blk.pw1_b, blk.pw1_b->ne[0], 1, 1); // [4C,1,1]
+                tok = ggml_add(ctx0, tok, b1);
+            }
+            x = ggml_permute(ctx0, tok, 1, 0, 2, 3);                         // [T,4C,B]
+            x = ggml_cont(ctx0, x);
+            x = ggml_reshape_4d(ctx0, x, w, h, tok->ne[0], b);               // [W,H,4C,B]
+            x = ggml_gelu_erf(ctx0, x);
+            x = convnext_grn(x, blk.grn_w, blk.grn_b);
+
+            tok = ggml_reshape_3d(ctx0, x, w * h, x->ne[2], b);              // [T,4C,B]
+            tok = ggml_permute(ctx0, tok, 1, 0, 2, 3);                       // [4C,T,B]
+            tok = ggml_cont(ctx0, tok);
+
+            tok = ggml_mul_mat(ctx0, blk.pw2_w, tok);                        // [C,T,B]
+            if (blk.pw2_b) {
+                ggml_tensor * b2 = ggml_reshape_3d(ctx0, blk.pw2_b, blk.pw2_b->ne[0], 1, 1); // [C,1,1]
+                tok = ggml_add(ctx0, tok, b2);
+            }
+            x = ggml_permute(ctx0, tok, 1, 0, 2, 3);                         // [T,C,B]
+            x = ggml_cont(ctx0, x);
+            x = ggml_reshape_4d(ctx0, x, w, h, tok->ne[0], b);               // [W,H,C,B]
+
+            cur = ggml_add(ctx0, res, x);
+            ggml_format_name(cur, "yasa2_stage%zu_blk%zu_out", s, bi);
+        }
+    }
+
+    // HF path adds vision position embeddings BEFORE adaptive pooling.
+    const int64_t pre_w = cur->ne[0];
+    const int64_t pre_h = cur->ne[1];
+    ggml_tensor * tokens_pre = ggml_reshape_3d(ctx0, cur, pre_w * pre_h, cur->ne[2], cur->ne[3]); // [T,C,B]
+    tokens_pre = ggml_permute(ctx0, tokens_pre, 1, 0, 2, 3); // [C,T,B]
+    tokens_pre = ggml_cont(ctx0, tokens_pre);
+    if (model.yasa_vision_pos_embed && tokens_pre->ne[1] == model.yasa_vision_pos_embed->ne[1]) {
+        const int64_t n_ch = model.yasa_vision_pos_embed->ne[0];
+        const int64_t n_tokens = model.yasa_vision_pos_embed->ne[1];
+        ggml_tensor * pos = ggml_reshape_3d(ctx0, model.yasa_vision_pos_embed, (int) n_ch, (int) n_tokens, 1);
+        tokens_pre = ggml_add(ctx0, tokens_pre, pos);
+    }
+    cur = ggml_permute(ctx0, tokens_pre, 1, 0, 2, 3); // [T,C,B]
+    cur = ggml_cont(ctx0, cur);
+    cur = ggml_reshape_4d(ctx0, cur, pre_w, pre_h, cur->ne[1], cur->ne[2]); // [W,H,C,B]
+
+    // AdaptiveAvgPool2d target is 8x8 for real inputs, but warmup can use tiny images.
+    const int pooled_w = std::min(8, (int) cur->ne[0]);
+    const int pooled_h = std::min(8, (int) cur->ne[1]);
+    const int kw = std::max(1, (int) cur->ne[0] / pooled_w);
+    const int kh = std::max(1, (int) cur->ne[1] / pooled_h);
+    cur = ggml_pool_2d(ctx0, cur, GGML_OP_POOL_AVG, kw, kh, kw, kh, 0, 0);
+
+    // [W,H,C,B] -> [C,T,B]
+    ggml_tensor * tokens = ggml_reshape_3d(ctx0, cur, cur->ne[0] * cur->ne[1], cur->ne[2], cur->ne[3]);
+    tokens = ggml_permute(ctx0, tokens, 1, 0, 2, 3);
+    tokens = ggml_cont(ctx0, tokens);
+    cb(tokens, "yasa2_tokens", -1);
+
+    GGML_ASSERT(model.mm_0_w && model.mm_2_w);
+    ggml_tensor * embeddings = build_ffn(
+        tokens,
+        model.mm_0_w, model.mm_0_b,
+        nullptr, nullptr,
+        model.mm_2_w, model.mm_2_b,
+        FFN_GELU_ERF,
+        -1);
+    cb(embeddings, "yasa2_emb", -1);
+
+    ggml_build_forward_expand(gf, embeddings);
+    return gf;
+}
diff --git a/tools/mtmd/mtmd-audio.cpp b/tools/mtmd/mtmd-audio.cpp
index e68387c27..8f0a9875b 100644
--- a/tools/mtmd/mtmd-audio.cpp
+++ b/tools/mtmd/mtmd-audio.cpp
@@ -8,6 +8,7 @@
 #include <vector>
 #include <fstream>
 #include <algorithm>
+#include <functional>
 
 // some of the code here is copied from whisper.cpp
 
@@ -37,23 +38,36 @@ void mtmd_audio_cache::fill_mel_filterbank_matrix(int   n_mel,
                                                   float fmin,
                                                   float fmax,
                                                   bool  slaney_area_norm,
-                                                  float scale) {
+                                                  float scale,
+                                                  bool  use_htk) {
     GGML_ASSERT(n_mel > 0 && n_fft > 1);
     if (fmax <= 0.0f) {
         fmax = 0.5f * sample_rate;
     }
 
-    // Slaney scale (matches librosa default)
-    const double min_log_hz  = 1000.0;
-    const double lin_slope   = 3 / 200.;
-    const double min_log_mel = min_log_hz * lin_slope;
-    const double log_step    = log(6.4) / 27.0;
-    auto         hz_to_mel   = [min_log_hz, lin_slope, log_step, min_log_mel](const double f_hz) -> double {
-        return (f_hz < min_log_hz) ? f_hz * lin_slope : min_log_mel + log(f_hz / min_log_hz) / log_step;
-    };
-    auto mel_to_hz = [min_log_hz, lin_slope, log_step, min_log_mel](const double m) -> double {
-        return (m < min_log_mel) ? m / lin_slope : min_log_hz * exp((m - min_log_mel) * log_step);
-    };
+    std::function<double(double)> hz_to_mel;
+    std::function<double(double)> mel_to_hz;
+
+    if (use_htk) {
+        hz_to_mel = [](const double f_hz) -> double {
+            return 2595.0 * log10(1.0 + f_hz / 700.0);
+        };
+        mel_to_hz = [](const double m) -> double {
+            return 700.0 * (pow(10.0, m / 2595.0) - 1.0);
+        };
+    } else {
+        // Slaney scale (matches librosa default)
+        const double min_log_hz  = 1000.0;
+        const double lin_slope   = 3 / 200.;
+        const double min_log_mel = min_log_hz * lin_slope;
+        const double log_step    = log(6.4) / 27.0;
+        hz_to_mel = [min_log_hz, lin_slope, log_step, min_log_mel](const double f_hz) -> double {
+            return (f_hz < min_log_hz) ? f_hz * lin_slope : min_log_mel + log(f_hz / min_log_hz) / log_step;
+        };
+        mel_to_hz = [min_log_hz, lin_slope, log_step, min_log_mel](const double m) -> double {
+            return (m < min_log_mel) ? m / lin_slope : min_log_hz * exp((m - min_log_mel) * log_step);
+        };
+    }
 
     // infer N_fft from n_fft_bins
     const double bin_hz_step = double(sample_rate) / double(n_fft);
@@ -257,10 +271,13 @@ struct filter_params {
     int32_t hann_window_size;
     int32_t hop_length;
     int32_t sample_rate;
-    bool    center_padding = false;
-    float   preemph = 0.f;
+    bool    no_padding      = false;
+    bool    center_padding  = false;
+    float   preemph         = 0.f;
     bool    use_natural_log = false;
     bool    norm_per_feature = false;
+    bool    use_magnitude   = false;  // |X| instead of |X|^2
+    float   mel_floor       = 5.960464477539063e-08f;
 };
 
 static void log_mel_spectrogram_worker_thread(int                        ith,
@@ -301,10 +318,10 @@ static void log_mel_spectrogram_worker_thread(int                        ith,
         // FFT
         fft(cache, fft_in.data(), frame_size, fft_out.data());
 
-        // Calculate modulus^2 of complex numbers
-        // Use pow(fft_out[2 * j + 0], 2) + pow(fft_out[2 * j + 1], 2) causes inference quality problem? Interesting.
+        // Calculate modulus^2 (power) or modulus (magnitude)
         for (int j = 0; j < n_fft_bins; j++) {
-            fft_out[j] = (fft_out[2 * j + 0] * fft_out[2 * j + 0] + fft_out[2 * j + 1] * fft_out[2 * j + 1]);
+            float power = (fft_out[2 * j + 0] * fft_out[2 * j + 0] + fft_out[2 * j + 1] * fft_out[2 * j + 1]);
+            fft_out[j] = params.use_magnitude ? sqrtf(power) : power;
         }
 
         // mel spectrogram
@@ -324,9 +341,10 @@ static void log_mel_spectrogram_worker_thread(int                        ith,
             for (; k < n_fft_bins; k++) {
                 sum += fft_out[k] * filters.data[j * n_fft_bins + k];
             }
+            sum = std::max(sum, (double)params.mel_floor);
             sum = params.use_natural_log
-                ? log(sum + 5.960464477539063e-08)
-                : log10(std::max(sum, 1e-10));
+                ? log(sum)
+                : log10(sum);
             out.data[j * out.n_len + i] = sum;
         }
     }
@@ -360,7 +378,12 @@ static bool log_mel_spectrogram(
 
     // Padding
     std::vector<float> samples_padded;
-    if (params.center_padding) {
+    if (params.no_padding) {
+        // no padding, use samples as-is
+        samples_padded = std::vector<float>(samples, samples + n_samples);
+        samples = samples_padded.data();
+        n_samples = samples_padded.size();
+    } else if (params.center_padding) {
         const auto pad_amount = frame_size / 2;
         samples_padded = std::vector<float>(n_samples + 2 * pad_amount, 0);
         std::copy(samples, samples + n_samples, samples_padded.data() + pad_amount);
@@ -380,6 +403,11 @@ static bool log_mel_spectrogram(
             return false;
         }
         std::reverse_copy(samples + 1, samples + 1 + stage_2_pad, samples_padded.begin());
+
+        // expose the padded buffer to downstream FFT and to out.n_len computation
+        // mirrors the no_padding and center_padding branches above
+        samples   = samples_padded.data();
+        n_samples = samples_padded.size();
     }
 
     // preemphasis
@@ -464,8 +492,8 @@ static bool log_mel_spectrogram(
                 out.data[i * out.n_len + j] = 0.0;
             }
         }
-    } else {
-        // clamping and normalization
+    } else if (!params.no_padding) {
+        // Whisper-style clamping and normalization (NOT used by Gemma4)
         double mmax = -1e20;
         for (int i = 0; i < out.n_mel*out.n_len; i++) {
             if (out.data[i] > mmax) {
@@ -627,6 +655,189 @@ bool mtmd_audio_preprocessor_conformer::preprocess(const float *
     return true;
 }
 
+//
+// mtmd_audio_preprocessor_granite_speech
+//
+
+void mtmd_audio_preprocessor_granite_speech::initialize() {
+    cache.fill_sin_cos_table(hparams.audio_n_fft);
+    cache.fill_hann_window(hparams.audio_window_len, true);
+    cache.fill_mel_filterbank_matrix(
+        hparams.n_mel_bins / 2, hparams.audio_n_fft, hparams.audio_sample_rate,
+        0.0f, -1.0f, false, 1.0f, true);
+}
+
+bool mtmd_audio_preprocessor_granite_speech::preprocess(const float *                 samples,
+                                                        size_t                        n_samples,
+                                                        std::vector<mtmd_audio_mel> & output) {
+    if (n_samples == 0) {
+        return false;
+    }
+
+    GGML_ASSERT(!cache.sin_vals.empty());
+    GGML_ASSERT(!cache.cos_vals.empty());
+    GGML_ASSERT(!cache.filters.data.empty());
+
+    const int n_fft = hparams.audio_n_fft;
+    const int pad   = n_fft / 2;
+
+    // reflect padding
+    const int n_padded = (int)n_samples + 2 * pad;
+    std::vector<float> padded(n_padded, 0.0f);
+    std::copy(samples, samples + n_samples, padded.data() + pad);
+    for (int i = 0; i < pad; i++) {
+        int src = i + 1;
+        if (src >= (int)n_samples) {
+            src = (int)n_samples - 1;
+        }
+        padded[pad - 1 - i] = samples[src];
+    }
+    for (int i = 0; i < pad; i++) {
+        int src = (int)n_samples - 2 - i;
+        if (src < 0) {
+            src = 0;
+        }
+        padded[pad + (int)n_samples + i] = samples[src];
+    }
+
+    filter_params params;
+    params.n_mel            = hparams.n_mel_bins / 2;
+    params.n_fft_bins       = 1 + (n_fft / 2);
+    params.hann_window_size = hparams.audio_window_len;
+    params.hop_length       = hparams.audio_hop_len;
+    params.sample_rate      = hparams.audio_sample_rate;
+    params.no_padding       = true;
+    params.center_padding   = false;
+    params.preemph          = 0.0f;
+    params.use_natural_log  = false;
+    params.norm_per_feature = false;
+    params.mel_floor        = 1e-10f;
+
+    mtmd_audio_mel mel;
+    if (!log_mel_spectrogram(padded.data(), n_padded, 4, params, cache, mel)) {
+        return false;
+    }
+
+    double mmax = -1e20;
+    for (int i = 0; i < mel.n_mel * mel.n_len; i++) {
+        if (mel.data[i] > mmax) {
+            mmax = mel.data[i];
+        }
+    }
+    mmax -= 8.0;
+
+    for (int i = 0; i < mel.n_mel * mel.n_len; i++) {
+        if (mel.data[i] < mmax) {
+            mel.data[i] = mmax;
+        }
+        mel.data[i] = (mel.data[i] + 4.0) / 4.0;
+    }
+
+    int n_frames = mel.n_len;
+    if (n_frames % 2 == 1) {
+        n_frames--;
+    }
+    const int n_mel     = mel.n_mel;
+    const int n_stacked = n_frames / 2;
+
+    mtmd_audio_mel stacked;
+    stacked.n_mel     = 2 * n_mel;
+    stacked.n_len     = n_stacked;
+    stacked.n_len_org = (int)n_samples;
+    stacked.data.resize(2 * n_mel * n_stacked);
+
+    for (int t = 0; t < n_stacked; t++) {
+        for (int m = 0; m < n_mel; m++) {
+            stacked.data[m * n_stacked + t] = mel.data[m * mel.n_len + 2 * t];
+            stacked.data[(m + n_mel) * n_stacked + t] = mel.data[m * mel.n_len + 2 * t + 1];
+        }
+    }
+
+    output.push_back(std::move(stacked));
+    return true;
+}
+
+//
+// mtmd_audio_preprocessor_gemma4a
+//
+
+void mtmd_audio_preprocessor_gemma4a::initialize() {
+    cache.fill_sin_cos_table(hparams.audio_n_fft);
+
+    // Standard periodic Hann window, zero-padded to FFT size
+    cache.hann_window.assign(hparams.audio_n_fft, 0.0f);
+    for (uint32_t i = 0; i < (uint32_t)hparams.audio_window_len; i++) {
+        cache.hann_window[i] = 0.5f - 0.5f * cosf((2.0f * (float)M_PI * i) / hparams.audio_window_len);
+    }
+
+    // HTK mel scale, no Slaney area normalization
+    cache.fill_mel_filterbank_matrix(
+        hparams.n_mel_bins, hparams.audio_n_fft, hparams.audio_sample_rate,
+        0.0f, hparams.audio_sample_rate / 2.0f,
+        /*slaney_area_norm=*/ false,
+        /*scale=*/ 1.0f,
+        /*use_htk=*/ true
+    );
+}
+
+bool mtmd_audio_preprocessor_gemma4a::preprocess(const float *                 samples,
+                                                  size_t                        n_samples,
+                                                  std::vector<mtmd_audio_mel> & output) {
+    if (n_samples == 0) {
+        return false;
+    }
+
+    GGML_ASSERT(!cache.sin_vals.empty());
+    GGML_ASSERT(!cache.cos_vals.empty());
+    GGML_ASSERT(!cache.filters.data.empty());
+
+    filter_params params;
+    params.n_mel            = hparams.n_mel_bins;
+    params.n_fft_bins       = 1 + (hparams.audio_n_fft / 2);
+    params.hann_window_size = hparams.audio_n_fft; // window is zero-padded to FFT size
+    params.hop_length       = hparams.audio_hop_len;
+    params.sample_rate      = hparams.audio_sample_rate;
+    params.no_padding       = true;
+    params.center_padding   = false;
+    params.preemph          = 0.0f;
+    params.use_natural_log  = true;
+    params.use_magnitude    = true;
+    params.mel_floor        = 0.001f;
+    params.norm_per_feature = false;
+
+    // Split into 30-second chunks (model context limit, ~750 tokens each)
+    const size_t chunk_samples = 30 * hparams.audio_sample_rate;
+    for (size_t off = 0; off < n_samples; off += chunk_samples) {
+        const float * chunk_ptr = samples + off;
+        size_t chunk_len = std::min(chunk_samples, n_samples - off);
+
+        // Semicausal left-padding + right-padding to match PyTorch frame count
+        const int pad_left = hparams.audio_window_len / 2;
+        const int fft_size = hparams.audio_n_fft;
+        const int hop = hparams.audio_hop_len;
+        const int n_with_left = (int)chunk_len + pad_left;
+        // PyTorch: unfold(size=frame_length+1, step=hop) on semicausal-padded waveform
+        const int pt_frames = (n_with_left - (hparams.audio_window_len + 1)) / hop + 1;
+        const int n_padded_needed = (pt_frames - 1) * hop + fft_size;
+        const int total_pad = std::max((int)(n_padded_needed - (int)chunk_len), pad_left);
+        std::vector<float> padded_samples(total_pad + chunk_len, 0.0f);
+        std::copy(chunk_ptr, chunk_ptr + chunk_len, padded_samples.data() + pad_left);
+
+        mtmd_audio_mel out_chunk;
+        bool ok = log_mel_spectrogram(padded_samples.data(), padded_samples.size(), 4, params, cache, out_chunk);
+        if (!ok) {
+            return false;
+        }
+
+        // Trim to PyTorch frame count
+        out_chunk.n_len = std::min(out_chunk.n_len, pt_frames);
+
+        output.push_back(std::move(out_chunk));
+    }
+
+    return true;
+}
+
 //
 // mtmd_audio_streaming_istft implementation
 //
diff --git a/tools/mtmd/mtmd-audio.h b/tools/mtmd/mtmd-audio.h
index 53857a2eb..c1a705de5 100644
--- a/tools/mtmd/mtmd-audio.h
+++ b/tools/mtmd/mtmd-audio.h
@@ -45,7 +45,8 @@ struct mtmd_audio_cache {
                                     float fmin             = 0.0f,   // e.g. 0.0
                                     float fmax             = -1.0f,  // e.g. sr/2; pass -1 for auto
                                     bool  slaney_area_norm = true,
-                                    float scale = 1.0f  // optional extra scaling
+                                    float scale            = 1.0f,
+                                    bool  use_htk          = false
     );
 };
 
@@ -77,6 +78,24 @@ struct mtmd_audio_preprocessor_conformer : mtmd_audio_preprocessor {
     mtmd_audio_cache cache;
 };
 
+struct mtmd_audio_preprocessor_granite_speech : mtmd_audio_preprocessor {
+    mtmd_audio_preprocessor_granite_speech(const clip_ctx * ctx) : mtmd_audio_preprocessor(ctx) {}
+    void initialize() override;
+    bool preprocess(const float * samples, size_t n_samples, std::vector<mtmd_audio_mel> & output) override;
+
+  private:
+    mtmd_audio_cache cache;
+};
+
+struct mtmd_audio_preprocessor_gemma4a : mtmd_audio_preprocessor {
+    mtmd_audio_preprocessor_gemma4a(const clip_ctx * ctx) : mtmd_audio_preprocessor(ctx) {}
+    void initialize() override;
+    bool preprocess(const float * samples, size_t n_samples, std::vector<mtmd_audio_mel> & output) override;
+
+  private:
+    mtmd_audio_cache cache;
+};
+
 //
 // streaming ISTFT - converts spectrogram frames back to audio one frame at a time
 //
diff --git a/tools/mtmd/mtmd-cli.cpp b/tools/mtmd/mtmd-cli.cpp
index dd72dfb17..d6e551618 100644
--- a/tools/mtmd/mtmd-cli.cpp
+++ b/tools/mtmd/mtmd-cli.cpp
@@ -90,7 +90,7 @@ struct mtmd_cli_context {
     int n_threads    = 1;
     llama_pos n_past = 0;
 
-    base_callback_data cb_data;
+    common_debug_cb_user_data cb_data;
 
     mtmd_cli_context(common_params & params) : llama_init(common_init_from_params(params)) {
         model = llama_init->model();
@@ -145,7 +145,7 @@ struct mtmd_cli_context {
         mparams.image_max_tokens = params.image_max_tokens;
         if (std::getenv("MTMD_DEBUG_GRAPH") != nullptr) {
             mparams.cb_eval_user_data = &cb_data;
-            mparams.cb_eval = common_debug_cb_eval<false>;
+            mparams.cb_eval = common_debug_cb_eval;
         }
         ctx_vision.reset(mtmd_init_from_file(clip_path, model, mparams));
         if (!ctx_vision.get()) {
@@ -295,6 +295,8 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
+    ggml_backend_load_all();
+
     mtmd_cli_context ctx(params);
     LOG_INF("%s: loading model: %s\n", __func__, params.model.path.c_str());
 
diff --git a/tools/mtmd/mtmd-helper.cpp b/tools/mtmd/mtmd-helper.cpp
index 778aacb61..409407416 100644
--- a/tools/mtmd/mtmd-helper.cpp
+++ b/tools/mtmd/mtmd-helper.cpp
@@ -114,6 +114,13 @@ llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks) {
     return n_pos;
 }
 
+void mtmd_helper_image_get_decoder_pos(const mtmd_image_tokens * chunks, llama_pos pos_0, mtmd_decoder_pos * out_pos) {
+    size_t n_tokens = mtmd_image_tokens_get_n_tokens(chunks);
+    for (size_t i = 0; i < n_tokens; i++) {
+        out_pos[i] = mtmd_image_tokens_get_decoder_pos(chunks, pos_0, i);
+    }
+}
+
 // helper struct to make working with embd batch easier
 // note: this will be removed after llama_batch_ext refactoring
 struct decode_embd_batch {
@@ -156,18 +163,15 @@ struct decode_embd_batch {
     }
 
     // M-RoPE for image
-    void set_position_mrope_2d(llama_pos pos_0, int nx, int ny, llama_seq_id seq_id) {
+    void set_position_mrope_2d(const std::vector<mtmd_decoder_pos> & rel_pos, llama_seq_id seq_id) {
         GGML_ASSERT(n_pos_per_embd == 4);
-        GGML_ASSERT(nx > 0 && ny > 0 && nx * ny == batch.n_tokens);
+        GGML_ASSERT(!rel_pos.empty() && (int32_t)rel_pos.size() == batch.n_tokens);
         seq_id_0[0] = seq_id;
-        for (int y = 0; y < ny; y++) {
-            for (int x = 0; x < nx; x++) {
-                int i = y * nx + x;
-                pos[i                     ] = pos_0;
-                pos[i + batch.n_tokens    ] = pos_0 + y;
-                pos[i + batch.n_tokens * 2] = pos_0 + x;
-                pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
-            }
+        for (int32_t i = 0; i < batch.n_tokens; i++) {
+            pos[i                     ] = rel_pos[i].t;
+            pos[i + batch.n_tokens    ] = rel_pos[i].y;
+            pos[i + batch.n_tokens * 2] = rel_pos[i].x;
+            pos[i + batch.n_tokens * 3] = rel_pos[i].z;
         }
         for (int i = 0; i < batch.n_tokens; i++) {
             batch.n_seq_id[i] = 1;
@@ -184,7 +188,7 @@ struct decode_embd_batch {
             pos[i                     ] = pos_0 + i;
             pos[i + batch.n_tokens    ] = pos_0 + i;
             pos[i + batch.n_tokens * 2] = pos_0 + i;
-            pos[i + batch.n_tokens * 3] = 0; // last pos dim is unused
+            pos[i + batch.n_tokens * 3] = pos_0 + i;
         }
         for (int i = 0; i < batch.n_tokens; i++) {
             batch.n_seq_id[i] = 1;
@@ -262,9 +266,10 @@ int32_t mtmd_helper_decode_image_chunk(
                 LOG_ERR("failed to decode chunk: image tokens are null\n");
                 return -1;
             }
-            const int nx = mtmd_image_tokens_get_nx(image_tokens);
-            const int ny = mtmd_image_tokens_get_ny(image_tokens);
-            batch_embd.set_position_mrope_2d(n_past, nx, ny, seq_id);
+            const auto n_tokens = mtmd_image_tokens_get_n_tokens(image_tokens);
+            std::vector<mtmd_decoder_pos> rel_pos(n_tokens);
+            mtmd_helper_image_get_decoder_pos(image_tokens, n_past, rel_pos.data());
+            batch_embd.set_position_mrope_2d(rel_pos, seq_id);
         } else if (chunk_type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
             batch_embd.set_position_mrope_1d(n_past, seq_id);
         } else {
@@ -274,7 +279,8 @@ int32_t mtmd_helper_decode_image_chunk(
         batch_embd.set_position_normal(n_past, seq_id);
     }
 
-    if (mtmd_decode_use_non_causal(ctx)) {
+    const bool use_non_causal = mtmd_decode_use_non_causal(ctx, chunk);
+    if (use_non_causal) {
         llama_set_causal_attn(lctx, false);
         // TODO @ngxson : need to make sure only one image is processed at a time, and n_ubatch must be enough to hold the image
     }
@@ -302,7 +308,7 @@ int32_t mtmd_helper_decode_image_chunk(
     n_past += mtmd_input_chunk_get_n_pos(chunk);
     *new_n_past = n_past;
 
-    if (mtmd_decode_use_non_causal(ctx)) {
+    if (use_non_causal) {
         llama_set_causal_attn(lctx, true);
     }
     return 0;
diff --git a/tools/mtmd/mtmd-helper.h b/tools/mtmd/mtmd-helper.h
index 5036b9244..57da78a75 100644
--- a/tools/mtmd/mtmd-helper.h
+++ b/tools/mtmd/mtmd-helper.h
@@ -47,6 +47,10 @@ MTMD_API size_t mtmd_helper_get_n_tokens(const mtmd_input_chunks * chunks);
 // normally, n_pos is equal to n_tokens, but for M-RoPE it is different
 MTMD_API llama_pos mtmd_helper_get_n_pos(const mtmd_input_chunks * chunks);
 
+// helper to get the list of relative positions corresponding to the embedding tokens, to be used by M-RoPE
+// out_pos must have length == mtmd_helper_get_n_tokens(image)
+MTMD_API void mtmd_helper_image_get_decoder_pos(const mtmd_image_tokens * image, llama_pos pos_0, struct mtmd_decoder_pos * out_pos);
+
 // helper function that automatically:
 // 1. run llama_decode() on text chunks
 // 2. run mtmd_encode() on image chunks, then mtmd_get_output_embd() and then llama_decode()
diff --git a/tools/mtmd/mtmd-image.cpp b/tools/mtmd/mtmd-image.cpp
index a2166622b..1b058e026 100644
--- a/tools/mtmd/mtmd-image.cpp
+++ b/tools/mtmd/mtmd-image.cpp
@@ -198,35 +198,38 @@ struct img_tool {
 private:
     // Bilinear resize function
     static void resize_bilinear(const clip_image_u8 & src, clip_image_u8 & dst, int target_width, int target_height) {
-        GGML_ASSERT(src.nx >= 2 && src.ny >= 2);
+        if (src.nx == 0 || src.ny == 0) { dst.nx = dst.ny = 0; dst.buf.clear(); return; }
+        if (target_width  <= 0) target_width  = 1;
+        if (target_height <= 0) target_height = 1;
+
         dst.nx = target_width;
         dst.ny = target_height;
         dst.buf.resize(3 * target_width * target_height);
 
-        float x_ratio = static_cast<float>(src.nx - 1) / target_width;
-        float y_ratio = static_cast<float>(src.ny - 1) / target_height;
-
-        for (int y = 0; y < target_height; y++) {
-            for (int x = 0; x < target_width; x++) {
-                float px = x_ratio * x;
-                float py = y_ratio * y;
-                int x_floor = std::min(static_cast<int>(px), src.nx - 2);
-                int y_floor = std::min(static_cast<int>(py), src.ny - 2);
-                float x_lerp = px - x_floor;
-                float y_lerp = py - y_floor;
-
-                for (int c = 0; c < 3; c++) {
-                    float top = lerp(
-                        static_cast<float>(src.buf[3 * (y_floor * src.nx + x_floor) + c]),
-                        static_cast<float>(src.buf[3 * (y_floor * src.nx + (x_floor + 1)) + c]),
-                        x_lerp
-                    );
-                    float bottom = lerp(
-                        static_cast<float>(src.buf[3 * ((y_floor + 1) * src.nx + x_floor) + c]),
-                        static_cast<float>(src.buf[3 * ((y_floor + 1) * src.nx + (x_floor + 1)) + c]),
-                        x_lerp
-                    );
-                    dst.buf[3 * (y * target_width + x) + c] = static_cast<uint8_t>(lerp(top, bottom, y_lerp));
+        float x_ratio = target_width  > 1 ? static_cast<float>(src.nx - 1) / (target_width  - 1) : 0.0f;
+        float y_ratio = target_height > 1 ? static_cast<float>(src.ny - 1) / (target_height - 1) : 0.0f;
+
+        for (int y = 0; y < target_height; ++y) {
+            for (int x = 0; x < target_width; ++x) {
+                float px = x * x_ratio;
+                float py = y * y_ratio;
+
+                int x0 = std::min(static_cast<int>(px), src.nx - 1);
+                int y0 = std::min(static_cast<int>(py), src.ny - 1);
+                int x1 = std::min(x0 + 1, src.nx - 1);
+                int y1 = std::min(y0 + 1, src.ny - 1);
+
+                float xf = px - x0;
+                float yf = py - y0;
+
+                for (int c = 0; c < 3; ++c) {
+                    float top    = lerp(static_cast<float>(src.buf[3 * (y0 * src.nx + x0) + c]),
+                                        static_cast<float>(src.buf[3 * (y0 * src.nx + x1) + c]),
+                                        xf);
+                    float bottom = lerp(static_cast<float>(src.buf[3 * (y1 * src.nx + x0) + c]),
+                                        static_cast<float>(src.buf[3 * (y1 * src.nx + x1) + c]),
+                                        xf);
+                    dst.buf[3 * (y * target_width + x) + c] = static_cast<uint8_t>(lerp(top, bottom, yf));
                 }
             }
         }
@@ -581,7 +584,9 @@ bool mtmd_image_preprocessor_llava_uhd::preprocess(const clip_image_u8 & img, cl
 
 mtmd_image_preprocessor_llava_uhd::slice_instructions mtmd_image_preprocessor_llava_uhd::get_slice_instructions(const clip_image_size & original_size) {
     mtmd_image_preprocessor_llava_uhd::slice_instructions res;
-    const int patch_size      = hparams.patch_size;
+    // align slices by patch_size * n_merge so an integer number of merger output tokens fits per slice
+    const int n_merge         = hparams.n_merge > 0 ? hparams.n_merge : 1;
+    const int patch_size      = hparams.patch_size * n_merge;
     const int slice_size      = hparams.image_size;
     const int original_width  = original_size.width;
     const int original_height = original_size.height;
@@ -1114,6 +1119,260 @@ bool mtmd_image_preprocessor_deepseekocr::preprocess(const clip_image_u8 & img,
     return true;
 }
 
+//
+// mtmd_image_preprocessor_step3vl
+//
+
+void mtmd_image_preprocessor_step3vl::img_u8_resize_bilinear_to_f32(
+        const clip_image_u8 & src,
+        clip_image_f32 & dst,
+        int target_width,
+        int target_height,
+        const float mean[3],
+        const float std[3]) {
+    if (src.nx == target_width && src.ny == target_height) {
+        img_u8_to_f32(src, dst, mean, std);
+        return;
+    }
+
+    dst.nx = target_width;
+    dst.ny = target_height;
+    dst.buf.resize(3 * target_width * target_height);
+
+    const float scale_x = static_cast<float>(src.nx) / target_width;
+    const float scale_y = static_cast<float>(src.ny) / target_height;
+
+    for (int y = 0; y < target_height; ++y) {
+        const float src_y = (static_cast<float>(y) + 0.5f) * scale_y - 0.5f;
+        const int y0_floor = static_cast<int>(std::floor(src_y));
+        const int y0 = std::max(0, std::min(y0_floor, src.ny - 1));
+        const int y1 = std::max(0, std::min(y0_floor + 1, src.ny - 1));
+        const float ly = src_y - y0_floor;
+
+        for (int x = 0; x < target_width; ++x) {
+            const float src_x = (static_cast<float>(x) + 0.5f) * scale_x - 0.5f;
+            const int x0_floor = static_cast<int>(std::floor(src_x));
+            const int x0 = std::max(0, std::min(x0_floor, src.nx - 1));
+            const int x1 = std::max(0, std::min(x0_floor + 1, src.nx - 1));
+            const float lx = src_x - x0_floor;
+
+            const size_t idx00 = 3 * (y0 * src.nx + x0);
+            const size_t idx01 = 3 * (y0 * src.nx + x1);
+            const size_t idx10 = 3 * (y1 * src.nx + x0);
+            const size_t idx11 = 3 * (y1 * src.nx + x1);
+            const size_t idx_dst = 3 * (y * target_width + x);
+
+            for (int c = 0; c < 3; ++c) {
+                const float v00 = (static_cast<float>(src.buf[idx00 + c]) / 255.0f - mean[c]) / std[c];
+                const float v01 = (static_cast<float>(src.buf[idx01 + c]) / 255.0f - mean[c]) / std[c];
+                const float v10 = (static_cast<float>(src.buf[idx10 + c]) / 255.0f - mean[c]) / std[c];
+                const float v11 = (static_cast<float>(src.buf[idx11 + c]) / 255.0f - mean[c]) / std[c];
+
+                const float top = v00 + (v01 - v00) * lx;
+                const float bot = v10 + (v11 - v10) * lx;
+                dst.buf[idx_dst + c] = top + (bot - top) * ly;
+            }
+        }
+    }
+}
+
+int mtmd_image_preprocessor_step3vl::get_image_longest_edge(const clip_hparams & params) {
+    return params.image_longest_edge > 0 ? params.image_longest_edge : default_image_longest_edge;
+}
+
+int mtmd_image_preprocessor_step3vl::determine_window_size(const clip_hparams & params, int longer, int shorter) {
+    const int image_size = params.image_size;
+    const int crop_size  = default_image_crop_size;
+    const float aspect_ratio = static_cast<float>(longer) / shorter;
+
+    if (longer <= image_size) {
+        return aspect_ratio > small_aspect_ratio_limit ? shorter : 0;
+    }
+
+    return aspect_ratio > wide_aspect_ratio_limit ? std::min(shorter, crop_size) : crop_size;
+}
+
+int mtmd_image_preprocessor_step3vl::calc_crop_extent(int length, int window_size) {
+    const float ratio = static_cast<float>(length) / window_size;
+    if (ratio < 1.0f) {
+        return length;
+    }
+
+    const float decimal = ratio - std::floor(ratio);
+    const int rounded = decimal > crop_rounding_threshold
+        ? static_cast<int>(std::floor(ratio)) + 1
+        : static_cast<int>(std::floor(ratio));
+    return window_size * rounded;
+}
+
+std::vector<int> mtmd_image_preprocessor_step3vl::calc_grid(int length, int window_size) {
+    const int n = length <= window_size
+        ? 1
+        : static_cast<int>(std::ceil(static_cast<float>(length - window_size) / window_size + 1.0f));
+    std::vector<int> starts(n);
+
+    for (int i = 0; i < n; ++i) {
+        starts[i] = window_size * i;
+    }
+
+    if (n > 1 && starts.back() + window_size > length) {
+        starts.back() = length - window_size;
+    }
+
+    return starts;
+}
+
+clip_image_u8 mtmd_image_preprocessor_step3vl::prepare_image(const clip_image_u8 & img, const clip_hparams & params) {
+    clip_image_u8 resized = img;
+    const float aspect_ratio = img.ny > 0 ? static_cast<float>(img.nx) / img.ny : 1.0f;
+    if (std::min(img.nx, img.ny) < 32 &&
+        (aspect_ratio > wide_aspect_ratio_limit ||
+         aspect_ratio < 1.0f / wide_aspect_ratio_limit)) {
+        const int square_size = std::max(img.nx, img.ny);
+        clip_image_u8 padded;
+        padded.nx = square_size;
+        padded.ny = square_size;
+        padded.buf.resize(3 * square_size * square_size);
+        img_tool::fill(padded, {0, 0, 0});
+        img_tool::composite(padded, img, 0, 0);
+        resized = std::move(padded);
+    }
+
+    const int max_image_size = get_image_longest_edge(params);
+    if (std::max(resized.nx, resized.ny) > max_image_size) {
+        const float scale = static_cast<float>(max_image_size) / std::max(resized.nx, resized.ny);
+        const clip_image_size new_size = {
+            std::max(1, static_cast<int>(std::floor(resized.nx * scale))),
+            std::max(1, static_cast<int>(std::floor(resized.ny * scale))),
+        };
+        clip_image_u8 scaled;
+        img_tool::resize(resized, scaled, new_size, RESIZE_ALGO_BILINEAR, false);
+        resized = std::move(scaled);
+    }
+
+    return resized;
+}
+
+clip_image_u8 mtmd_image_preprocessor_step3vl::crop_with_black_padding(const clip_image_u8 & image, int x, int y, int w, int h) {
+    clip_image_u8 dst;
+    dst.nx = w;
+    dst.ny = h;
+    dst.buf.resize(3 * w * h, 0);
+
+    const int src_x0 = std::max(0, x);
+    const int src_y0 = std::max(0, y);
+    const int src_x1 = std::min(image.nx, x + w);
+    const int src_y1 = std::min(image.ny, y + h);
+
+    if (src_x0 >= src_x1 || src_y0 >= src_y1) {
+        return dst;
+    }
+
+    const int dst_x0 = src_x0 - x;
+    const int dst_y0 = src_y0 - y;
+
+    for (int yy = 0; yy < src_y1 - src_y0; ++yy) {
+        for (int xx = 0; xx < src_x1 - src_x0; ++xx) {
+            const int src_idx = 3 * ((src_y0 + yy) * image.nx + (src_x0 + xx));
+            const int dst_idx = 3 * ((dst_y0 + yy) * w + (dst_x0 + xx));
+            dst.buf[dst_idx + 0] = image.buf[src_idx + 0];
+            dst.buf[dst_idx + 1] = image.buf[src_idx + 1];
+            dst.buf[dst_idx + 2] = image.buf[src_idx + 2];
+        }
+    }
+
+    return dst;
+}
+
+mtmd_image_preprocessor_step3vl::slice_instructions mtmd_image_preprocessor_step3vl::build_slice_instructions(
+        const clip_hparams & params,
+        const clip_image_size & prepared_size) {
+    slice_instructions instructions;
+    instructions.overview_size = prepared_size;
+
+    const int window_size = determine_window_size(
+        params,
+        std::max(prepared_size.width, prepared_size.height),
+        std::min(prepared_size.width, prepared_size.height));
+    if (window_size <= 0) {
+        instructions.refined_size = clip_image_size{0, 0};
+        instructions.grid_size    = clip_image_size{0, 0};
+        return instructions;
+    }
+
+    const int crop_width  = calc_crop_extent(prepared_size.width,  window_size);
+    const int crop_height = calc_crop_extent(prepared_size.height, window_size);
+    instructions.refined_size = clip_image_size{crop_width, crop_height};
+
+    const auto xs = calc_grid(crop_width,  window_size);
+    const auto ys = calc_grid(crop_height, window_size);
+    instructions.grid_size = clip_image_size{
+        static_cast<int>(xs.size()),
+        static_cast<int>(ys.size()),
+    };
+
+    for (int y : ys) {
+        for (int x : xs) {
+            instructions.slices.push_back(slice_coordinates{
+                /* x    */ x,
+                /* y    */ y,
+                /* size */ clip_image_size{window_size, window_size},
+            });
+        }
+    }
+
+    return instructions;
+}
+
+bool mtmd_image_preprocessor_step3vl::preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) {
+    clip_image_u8 prepared = prepare_image(img, hparams);
+    const auto instructions = build_slice_instructions(hparams, {prepared.nx, prepared.ny});
+
+    clip_image_f32_ptr overview_f32(clip_image_f32_init());
+    img_u8_resize_bilinear_to_f32(
+        prepared,
+        *overview_f32,
+        hparams.image_size,
+        hparams.image_size,
+        hparams.image_mean,
+        hparams.image_std);
+    output.entries.push_back(std::move(overview_f32));
+
+    if (instructions.slices.empty()) {
+        output.grid_x = 0;
+        output.grid_y = 0;
+        return true;
+    }
+
+    clip_image_u8 img_for_crop = prepared;
+    if (instructions.refined_size.width != prepared.nx || instructions.refined_size.height != prepared.ny) {
+        clip_image_u8 refined;
+        img_tool::resize(prepared, refined, instructions.refined_size, RESIZE_ALGO_BILINEAR, false);
+        img_for_crop = std::move(refined);
+    }
+
+    const int crop_size = default_image_crop_size;
+    for (const auto & slice : instructions.slices) {
+        // If the requested patch extends past the source image, pad the out-of-bounds area with black.
+        clip_image_u8 patch = crop_with_black_padding(img_for_crop, slice.x, slice.y, slice.size.width, slice.size.height);
+
+        clip_image_f32_ptr patch_f32(clip_image_f32_init());
+        img_u8_resize_bilinear_to_f32(
+            patch,
+            *patch_f32,
+            crop_size,
+            crop_size,
+            hparams.image_mean,
+            hparams.image_std);
+        output.entries.push_back(std::move(patch_f32));
+    }
+
+    output.grid_x = instructions.grid_size.width;
+    output.grid_y = instructions.grid_size.height;
+
+    return true;
+}
+
 //
 // mtmd_image_preprocessor_youtuvl
 //
diff --git a/tools/mtmd/mtmd-image.h b/tools/mtmd/mtmd-image.h
index 065b937d6..08129a08e 100644
--- a/tools/mtmd/mtmd-image.h
+++ b/tools/mtmd/mtmd-image.h
@@ -144,6 +144,35 @@ struct mtmd_image_preprocessor_deepseekocr : mtmd_image_preprocessor {
     bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
 };
 
+// custom image preprocessing for Step3VL
+// ref: https://huggingface.co/stepfun-ai/Step3-VL-10B/blob/main/processing_step3.py
+struct mtmd_image_preprocessor_step3vl : mtmd_image_preprocessor_llava_uhd {
+    mtmd_image_preprocessor_step3vl(const clip_ctx * ctx) : mtmd_image_preprocessor_llava_uhd(ctx) {}
+    bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
+    static slice_instructions build_slice_instructions(const clip_hparams & params, const clip_image_size & prepared_size);
+
+private:
+    static constexpr int   default_image_longest_edge = 3024;
+    static constexpr int   default_image_crop_size    = 504;
+    static constexpr float small_aspect_ratio_limit   = 1.5f;
+    static constexpr float wide_aspect_ratio_limit    = 4.0f;
+    static constexpr float crop_rounding_threshold    = 0.2f;
+
+    void img_u8_resize_bilinear_to_f32(
+            const clip_image_u8 & src,
+            clip_image_f32 & dst,
+            int target_width,
+            int target_height,
+            const float mean[3],
+            const float std[3]);
+    static int get_image_longest_edge(const clip_hparams & params);
+    static int determine_window_size(const clip_hparams & params, int longer, int shorter);
+    static int calc_crop_extent(int length, int window_size);
+    static std::vector<int> calc_grid(int length, int window_size);
+    static clip_image_u8 prepare_image(const clip_image_u8 & img, const clip_hparams & params);
+    static clip_image_u8 crop_with_black_padding(const clip_image_u8 & image, int x, int y, int w, int h);
+};
+
 struct mtmd_image_preprocessor_youtuvl : mtmd_image_preprocessor {
     mtmd_image_preprocessor_youtuvl(const clip_ctx * ctx) : mtmd_image_preprocessor(ctx) {}
     bool preprocess(const clip_image_u8 & img, clip_image_f32_batch & output) override;
diff --git a/tools/mtmd/mtmd.cpp b/tools/mtmd/mtmd.cpp
index 4b6dd44f0..87da6876f 100644
--- a/tools/mtmd/mtmd.cpp
+++ b/tools/mtmd/mtmd.cpp
@@ -33,11 +33,25 @@ struct mtmd_bitmap {
     bool is_audio = false; // true if the bitmap is audio
 };
 
+// position indexing for decoder model
+enum mtmd_pos_type {
+    MTMD_POS_TYPE_NORMAL,    // number of positions equals to number of tokens
+    MTMD_POS_TYPE_MROPE,     // qwen-vl mrope style, each image takes max(t,h,w) position indexes
+    MTMD_POS_TYPE_HUNYUANVL, // HunyuanVL mrope + BOI/EOI/newline layout with XD-RoPE dim-3
+};
+
 struct mtmd_image_tokens {
     uint32_t nx; // number of tokens in x direction
     uint32_t ny; // number of tokens in y direction
-    bool use_mrope_pos = false; // use M-RoPE position counting (the whole image is 1 temporal position)
-    uint32_t n_tokens() const { return nx * ny; }
+    mtmd_pos_type pos = MTMD_POS_TYPE_NORMAL;
+    uint32_t image_idx = 0; // 0-based position of this image among image chunks in the prompt(used by pos == MTMD_POS_TYPE_HUNYUANVL)
+    uint32_t n_tokens() const {
+        if (pos == MTMD_POS_TYPE_HUNYUANVL) {
+            // [BOI] [row0 tokens + newline] ... [row(ny-1) tokens + newline] [EOI]
+            return (nx + 1) * ny + 2;
+        }
+        return nx * ny;
+    }
     clip_image_f32_batch batch_f32; // preprocessed image patches
     std::string id; // optional user-defined ID, useful for KV cache tracking
 
@@ -45,7 +59,8 @@ struct mtmd_image_tokens {
         return mtmd_image_tokens{
             nx,
             ny,
-            use_mrope_pos,
+            pos,
+            image_idx,
             batch_f32.clone(),
             id
         };
@@ -88,6 +103,7 @@ enum mtmd_slice_tmpl {
     MTMD_SLICE_TMPL_LLAMA4,
     MTMD_SLICE_TMPL_IDEFICS3,
     MTMD_SLICE_TMPL_LFM2,
+    MTMD_SLICE_TMPL_STEP3VL,
 };
 
 const char * mtmd_default_marker() {
@@ -108,7 +124,7 @@ mtmd_context_params mtmd_context_params_default() {
         /* use_gpu           */ true,
         /* print_timings     */ true,
         /* n_threads         */ 4,
-        /* image_marker      */ MTMD_DEFAULT_IMAGE_MARKER,
+        /* image_marker      */ nullptr,
         /* media_marker      */ mtmd_default_marker(),
         /* flash_attn_type   */ LLAMA_FLASH_ATTN_TYPE_AUTO,
         /* warmup            */ true,
@@ -130,6 +146,7 @@ struct mtmd_context {
     int n_threads;
     std::string media_marker;
     const int n_embd_text;
+    mtmd_pos_type pos_type;
 
     // these are not token, but strings used to mark the beginning and end of image/audio embeddings
     std::string img_beg;
@@ -168,7 +185,7 @@ struct mtmd_context {
         media_marker (ctx_params.media_marker),
         n_embd_text  (llama_model_n_embd_inp(text_model))
     {
-        if (std::string(ctx_params.image_marker) != MTMD_DEFAULT_IMAGE_MARKER) {
+        if (ctx_params.image_marker != nullptr) {
             throw std::runtime_error("custom image_marker is not supported anymore, use media_marker instead");
         }
 
@@ -176,6 +193,23 @@ struct mtmd_context {
             throw std::runtime_error("media_marker must not be empty");
         }
 
+        auto decoder_rope_type = llama_model_rope_type(text_model);
+        switch (decoder_rope_type) {
+            case LLAMA_ROPE_TYPE_NONE:
+            case LLAMA_ROPE_TYPE_NORM:
+            case LLAMA_ROPE_TYPE_NEOX:
+                {
+                    pos_type = MTMD_POS_TYPE_NORMAL;
+                } break;
+            case LLAMA_ROPE_TYPE_MROPE:
+            case LLAMA_ROPE_TYPE_IMROPE:
+                {
+                    pos_type = MTMD_POS_TYPE_MROPE;
+                } break;
+            default:
+                throw std::runtime_error(string_format("unsupported decoder rope type: %d\n", decoder_rope_type));
+        }
+
         clip_context_params ctx_clip_params {
             /* use_gpu           */ ctx_params.use_gpu,
             /* flash_attn_type   */ mtmd_get_clip_flash_attn_type(ctx_params.flash_attn_type),
@@ -259,7 +293,6 @@ struct mtmd_context {
                         tok_row_end       = {lookup_token("\n")};
                         tok_row_end_trail = false; // no trailing end-of-row token
                         ov_img_first      = true;
-
                     } else if (minicpmv_version == 3 || minicpmv_version == 4 || minicpmv_version == 5 || minicpmv_version == 6 || minicpmv_version == 100045) {
                         // minicpmv 2.6 format:
                         // <image> (overview) </image><slice> (slice) </slice><slice> (slice) </slice>\n ...
@@ -277,6 +310,18 @@ struct mtmd_context {
                     }
                     image_preproc = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
                 } break;
+            case PROJECTOR_TYPE_MINICPMV4_6:
+                {
+                    slice_tmpl        = MTMD_SLICE_TMPL_MINICPMV_2_6;
+                    tok_ov_img_start  = {lookup_token("<image>")};
+                    tok_ov_img_end    = {lookup_token("</image>")};
+                    tok_sli_img_start = {lookup_token("<slice>")};
+                    tok_sli_img_end   = {lookup_token("</slice>")};
+                    tok_row_end       = {lookup_token("\n")};
+                    tok_row_end_trail = false; // no trailing end-of-row token
+                    ov_img_first      = true;
+                    image_preproc     = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
+                } break;
             case PROJECTOR_TYPE_QWEN2VL:
             case PROJECTOR_TYPE_QWEN25VL:
             case PROJECTOR_TYPE_QWEN3VL:
@@ -293,6 +338,19 @@ struct mtmd_context {
                     img_end = "<|vision_end|>";
                     image_preproc = std::make_unique<mtmd_image_preprocessor_youtuvl>(ctx_v);
                 } break;
+            case PROJECTOR_TYPE_YASA2:
+                {
+                    img_beg = "<image>";
+                    img_end = "</image>";
+                    // Currently only supprots single-tile preprocessing: any input is downscaled
+                    // to one image_size x image_size tile (64 output tokens via 8x8 adaptive avg
+                    // pool).
+                    // However, the model itself supports llava-uhd multi-tile tiling for high-res
+                    // images. This will be implemented in a future PR (dispatch on has_pinpoints
+                    // - see LDP/COGVLM branch above) and emit image_grid_pinpoints in the conversion
+                    // script.
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_fixed_size>(ctx_v);
+                } break;
             case PROJECTOR_TYPE_GEMMA3:
             case PROJECTOR_TYPE_GEMMA3NV:
                 {
@@ -331,6 +389,22 @@ struct mtmd_context {
                             "    https://github.com/ggml-org/llama.cpp/pull/13282\n", __func__);
                     image_preproc = std::make_unique<mtmd_image_preprocessor_llava_uhd>(ctx_v);
                 } break;
+            case PROJECTOR_TYPE_STEP3VL:
+                {
+                    // Step3 format:
+                    //   <patch_start> (patch) <patch_end> [<patch_newline>]
+                    //   ... (all patch rows)
+                    //   <im_start> (overview) <im_end>
+                    slice_tmpl        = MTMD_SLICE_TMPL_STEP3VL;
+                    tok_ov_img_start  = {lookup_token("<im_start>")};
+                    tok_ov_img_end    = {lookup_token("<im_end>")};
+                    tok_sli_img_start = {lookup_token("<patch_start>")};
+                    tok_sli_img_end   = {lookup_token("<patch_end>")};
+                    tok_row_end       = {lookup_token("<patch_newline>")};
+                    tok_row_end_trail = false;
+                    ov_img_first      = false; // patches first, overview last
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_step3vl>(ctx_v);
+                } break;
             case PROJECTOR_TYPE_INTERNVL:
                 {
                     // <img> ... (image embeddings) ... </img>
@@ -359,6 +433,13 @@ struct mtmd_context {
                     img_end = "<|im_end|>";
                     image_preproc = std::make_unique<mtmd_image_preprocessor_longest_edge>(ctx_v);
                 } break;
+            case PROJECTOR_TYPE_DOTS_OCR:
+                {
+                    // <|img|> ... (image embeddings) ... <|endofimg|>
+                    img_beg = "<|img|>";
+                    img_end = "<|endofimg|>";
+                    image_preproc = std::make_unique<mtmd_image_preprocessor_dyn_size>(ctx_v);
+                } break;
             case PROJECTOR_TYPE_NEMOTRON_V2_VL:
                 {
                     image_preproc = std::make_unique<mtmd_image_preprocessor_fixed_size>(ctx_v);
@@ -407,6 +488,7 @@ struct mtmd_context {
                     image_preproc = std::make_unique<mtmd_image_preprocessor_deepseekocr>(ctx_v);
                 } break;
             case PROJECTOR_TYPE_HUNYUANOCR:
+            case PROJECTOR_TYPE_HUNYUANVL:
                 {
                     // note: these use fullwidth ｜ (U+FF5C) and ▁ (U+2581) to match the tokenizer vocabulary
                     img_beg = "<｜hy_place▁holder▁no▁100｜>";
@@ -432,6 +514,7 @@ struct mtmd_context {
         // set preprocessor
         switch (proj) {
             case PROJECTOR_TYPE_QWEN2A:
+            case PROJECTOR_TYPE_QWEN3A:
             case PROJECTOR_TYPE_QWEN25O:
                 {
                     // <|audio_bos|> ... (embeddings) ... <|audio_eos|>
@@ -453,6 +536,7 @@ struct mtmd_context {
                 } break;
             case PROJECTOR_TYPE_ULTRAVOX:
             case PROJECTOR_TYPE_GLMA:
+            case PROJECTOR_TYPE_MERALION:
                 {
                     audio_preproc = std::make_unique<mtmd_audio_preprocessor_whisper>(ctx_a);
                 } break;
@@ -460,6 +544,16 @@ struct mtmd_context {
                 {
                     audio_preproc = std::make_unique<mtmd_audio_preprocessor_conformer>(ctx_a);
                 } break;
+            case PROJECTOR_TYPE_GRANITE_SPEECH:
+                {
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_granite_speech>(ctx_a);
+                } break;
+            case PROJECTOR_TYPE_GEMMA4A:
+                {
+                    aud_beg = "<|audio>";
+                    aud_end = "<audio|>";
+                    audio_preproc = std::make_unique<mtmd_audio_preprocessor_gemma4a>(ctx_a);
+                } break;
             default:
                 throw std::runtime_error(string_format("%s: unexpected audio projector type %d\n", __func__, proj));
         }
@@ -544,6 +638,7 @@ struct mtmd_tokenizer {
     const llama_vocab * vocab;
 
     mtmd_input_chunks cur;
+    uint32_t n_images_added = 0; // 0-based index assigned to the next image chunk
 
     mtmd_tokenizer(mtmd_context * ctx,
             const mtmd_input_text * text,
@@ -553,9 +648,6 @@ struct mtmd_tokenizer {
         parse_special = text->parse_special;
         input_text    = text->text;
         vocab         = llama_model_get_vocab(ctx->text_model);
-
-        // for compatibility, we convert image marker to media marker
-        string_replace_all(input_text, MTMD_DEFAULT_IMAGE_MARKER, ctx->media_marker);
     }
 
     int32_t tokenize(mtmd_input_chunks * output) {
@@ -682,6 +774,7 @@ struct mtmd_tokenizer {
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_MINICPMV_2_6
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_LLAMA4
                 || ctx->slice_tmpl == MTMD_SLICE_TMPL_IDEFICS3
+                || ctx->slice_tmpl == MTMD_SLICE_TMPL_STEP3VL
                 || (ctx->slice_tmpl == MTMD_SLICE_TMPL_LFM2 && has_tiling_grid)
             ) {
                 const int n_col = batch_f32.grid_x;
@@ -748,12 +841,20 @@ struct mtmd_tokenizer {
                     // for Qwen2VL, we need this information for M-RoPE decoding positions
                     image_tokens->nx = clip_n_output_tokens_x(ctx->ctx_v, batch_f32.entries[0].get());
                     image_tokens->ny = clip_n_output_tokens_y(ctx->ctx_v, batch_f32.entries[0].get());
-                    image_tokens->use_mrope_pos = true;
                 } else {
                     // other models, we only need the total number of tokens
                     image_tokens->nx = n_tokens;
                     image_tokens->ny = 1;
                 }
+                image_tokens->pos = ctx->pos_type;
+                // HunyuanVL wraps the image grid with BOI/EOI and adds one newline per row,
+                // and uses XD-RoPE (dim-3 = image index). Override the position type so that
+                // n_tokens() and mtmd_image_tokens_get_decoder_pos pick the HunyuanVL layout.
+                if (ctx->proj_type_v() == PROJECTOR_TYPE_HUNYUANVL) {
+                    image_tokens->pos       = MTMD_POS_TYPE_HUNYUANVL;
+                    image_tokens->image_idx = n_images_added;
+                    GGML_ASSERT(n_tokens == (size_t)image_tokens->n_tokens());
+                }
                 image_tokens->batch_f32 = std::move(batch_f32);
                 image_tokens->id = bitmap->id; // optional
 
@@ -774,6 +875,9 @@ struct mtmd_tokenizer {
                 add_text(ctx->img_end, true); // add image end token
             }
 
+            // advance image-chunk counter so the next image gets the next XD-RoPE dim-3 slot
+            n_images_added++;
+
         } else {
             // handle audio
 
@@ -985,8 +1089,12 @@ float * mtmd_get_output_embd(mtmd_context * ctx) {
     return ctx->image_embd_v.data();
 }
 
-bool mtmd_decode_use_non_causal(mtmd_context * ctx) {
-    switch (ctx->proj_type_v()) {
+bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk) {
+    auto proj_type = ctx->proj_type_v();
+    if (chunk && chunk->type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
+        proj_type = ctx->proj_type_a();
+    }
+    switch (proj_type) {
         case PROJECTOR_TYPE_GEMMA3:
         case PROJECTOR_TYPE_GEMMA4V:
             return true;
@@ -995,28 +1103,19 @@ bool mtmd_decode_use_non_causal(mtmd_context * ctx) {
     }
 }
 
-bool mtmd_decode_use_mrope(mtmd_context * ctx) {
-    switch (ctx->proj_type_v()) {
-        case PROJECTOR_TYPE_QWEN2VL:
-        case PROJECTOR_TYPE_QWEN25VL:
-        case PROJECTOR_TYPE_QWEN3VL:
-        case PROJECTOR_TYPE_GLM4V:
-        case PROJECTOR_TYPE_PADDLEOCR:
-            return true;
-        default:
-            return false;
-    }
+bool mtmd_decode_use_mrope(const mtmd_context * ctx) {
+    return ctx->pos_type == MTMD_POS_TYPE_MROPE;
 }
 
-bool mtmd_support_vision(mtmd_context * ctx) {
+bool mtmd_support_vision(const mtmd_context * ctx) {
     return ctx->ctx_v != nullptr;
 }
 
-bool mtmd_support_audio(mtmd_context * ctx) {
+bool mtmd_support_audio(const mtmd_context * ctx) {
     return ctx->ctx_a != nullptr;
 }
 
-int mtmd_get_audio_sample_rate(mtmd_context * ctx) {
+int mtmd_get_audio_sample_rate(const mtmd_context * ctx) {
     if (!ctx->ctx_a) {
         return -1;
     }
@@ -1209,17 +1308,78 @@ size_t mtmd_image_tokens_get_ny(const mtmd_image_tokens * image_tokens) {
     return image_tokens->ny;
 }
 
+mtmd_decoder_pos mtmd_image_tokens_get_decoder_pos(const mtmd_image_tokens * image_tokens, llama_pos pos_0, size_t i) {
+    mtmd_decoder_pos pos;
+    switch (image_tokens->pos) {
+        case MTMD_POS_TYPE_MROPE:
+            {
+                pos.t = pos_0;
+                pos.x = pos_0 + (i % image_tokens->nx);
+                pos.y = pos_0 + (i / image_tokens->nx);
+                pos.z = 0; // unused for now
+            } break;
+        case MTMD_POS_TYPE_NORMAL:
+            {
+                pos.t = pos_0 + i;
+                pos.x = pos_0 + i;
+                pos.y = pos_0 + i;
+                pos.z = pos_0 + i;
+            } break;
+        case MTMD_POS_TYPE_HUNYUANVL:
+            {
+                // HunyuanVL layout: [BOI] [row0 tokens + newline] ... [row(ny-1) tokens + newline] [EOI]
+                // Total = 1 + ny*(nx+1) + 1. BOI and EOI use sequential positions in every dim;
+                // content and row-newline tokens use (row, col) with XD-RoPE dim-3 = image_idx.
+                const uint32_t nx      = image_tokens->nx;
+                const uint32_t n_total = image_tokens->n_tokens();
+                if (i == 0) {
+                    // BOI
+                    pos.t = pos_0 + i;
+                    pos.x = pos_0 + i;
+                    pos.y = pos_0 + i;
+                    pos.z = pos_0 + i;
+                } else if (i == n_total - 1) {
+                    // EOI
+                    pos.t = pos_0 + i;
+                    pos.x = pos_0 + i;
+                    pos.y = pos_0 + i;
+                    pos.z = pos_0 + i;
+                } else {
+                    // content token at (row, col), or the trailing newline of a row (col == nx)
+                    //   section 0 = sequential, section 1 = w(col), section 2 = h(row), section 3 = image_count.
+                    // set_position_mrope_2d writes .y -> section 1 and .x -> section 2
+                    const uint32_t offset = (uint32_t)i - 1;
+                    const uint32_t row    = offset / (nx + 1);
+                    const uint32_t col    = offset % (nx + 1);
+                    pos.t = pos_0 + i;
+                    pos.x = row;
+                    pos.y = col;
+                    pos.z = image_tokens->image_idx;
+                }
+            } break;
+        default:
+            GGML_ABORT("invalid position type");
+    }
+    return pos;
+}
+
 const char * mtmd_image_tokens_get_id(const mtmd_image_tokens * image_tokens) {
     return image_tokens->id.c_str();
 }
 
 llama_pos mtmd_image_tokens_get_n_pos(const mtmd_image_tokens * image_tokens) {
-    if (image_tokens->use_mrope_pos) {
-        // for M-RoPE, temporal dimension = max(t,h,w)
-        // t is omitted as we don't support video input
-        return std::max(image_tokens->nx, image_tokens->ny);
+    switch (image_tokens->pos) {
+        case MTMD_POS_TYPE_MROPE:
+            return std::max(image_tokens->nx, image_tokens->ny);
+        case MTMD_POS_TYPE_NORMAL:
+            return image_tokens->n_tokens();
+        case MTMD_POS_TYPE_HUNYUANVL:
+            // HunyuanVL: the sequential (dim-0) position advances by the full token count
+            // (includes BOI/EOI and row newline tokens), not by max(nx, ny)
+            return image_tokens->n_tokens();
+        default:
+            GGML_ABORT("invalid position type");
     }
-    return image_tokens->n_tokens();
 }
 
 // test function
diff --git a/tools/mtmd/mtmd.h b/tools/mtmd/mtmd.h
index ebb4a18fb..e364174b8 100644
--- a/tools/mtmd/mtmd.h
+++ b/tools/mtmd/mtmd.h
@@ -46,9 +46,6 @@
 #    define MTMD_API
 #endif
 
-// deprecated marker, use mtmd_default_marker() instead
-#define MTMD_DEFAULT_IMAGE_MARKER "<__image__>"
-
 #ifdef __cplusplus
 extern "C" {
 #endif
@@ -114,20 +111,21 @@ MTMD_API mtmd_context * mtmd_init_from_file(const char * mmproj_fname,
 MTMD_API void mtmd_free(mtmd_context * ctx);
 
 // whether we need to set non-causal mask before llama_decode
-MTMD_API bool mtmd_decode_use_non_causal(mtmd_context * ctx);
+// if chunk is nullptr, we assume the default case where chunk is an image chunk
+MTMD_API bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk);
 
 // whether the current model use M-RoPE for llama_decode
-MTMD_API bool mtmd_decode_use_mrope(mtmd_context * ctx);
+MTMD_API bool mtmd_decode_use_mrope(const mtmd_context * ctx);
 
 // whether the current model supports vision input
-MTMD_API bool mtmd_support_vision(mtmd_context * ctx);
+MTMD_API bool mtmd_support_vision(const mtmd_context * ctx);
 
 // whether the current model supports audio input
-MTMD_API bool mtmd_support_audio(mtmd_context * ctx);
+MTMD_API bool mtmd_support_audio(const mtmd_context * ctx);
 
 // get audio sample rate in Hz, for example 16000 for Whisper
 // return -1 if audio is not supported
-MTMD_API int mtmd_get_audio_sample_rate(mtmd_context * ctx);
+MTMD_API int mtmd_get_audio_sample_rate(const mtmd_context * ctx);
 
 // mtmd_bitmap
 //
@@ -185,12 +183,27 @@ MTMD_API void               mtmd_input_chunk_free(mtmd_input_chunk * chunk);
 // the instance will be constructed via mtmd_tokenize()
 // it will be freed along with mtmd_input_chunk
 MTMD_API size_t       mtmd_image_tokens_get_n_tokens(const mtmd_image_tokens * image_tokens); // TODO: deprecate
-MTMD_API size_t       mtmd_image_tokens_get_nx      (const mtmd_image_tokens * image_tokens);
-MTMD_API size_t       mtmd_image_tokens_get_ny      (const mtmd_image_tokens * image_tokens);
 MTMD_API const char * mtmd_image_tokens_get_id      (const mtmd_image_tokens * image_tokens); // TODO: deprecate
 // number of temporal positions (equals to max(t,h,w) for M-RoPE; equals to n_tokens otherwise)
 MTMD_API llama_pos    mtmd_image_tokens_get_n_pos   (const mtmd_image_tokens * image_tokens); // TODO: deprecate
 
+DEPRECATED(MTMD_API size_t mtmd_image_tokens_get_nx(const mtmd_image_tokens * image_tokens),
+           "use mtmd_image_tokens_get_decoder_pos() instead");
+DEPRECATED(MTMD_API size_t mtmd_image_tokens_get_ny(const mtmd_image_tokens * image_tokens),
+           "use mtmd_image_tokens_get_decoder_pos() instead");
+
+struct mtmd_decoder_pos {
+    uint32_t t;
+    uint32_t x;
+    uint32_t y;
+    uint32_t z; // unused for now, reserved for future use
+};
+// get position for decoder attention, to be used by M-RoPE models
+// i is the index of the embedding token, ranging from 0 to mtmd_image_tokens_get_n_tokens() - 1
+// pos_0 is the absolute position of the first token
+// return relative position (for example, embedding 0 will have position (0, 0, 0); remember to adjust it to the current absolute position)
+MTMD_API struct mtmd_decoder_pos mtmd_image_tokens_get_decoder_pos(const mtmd_image_tokens * image_tokens, llama_pos pos_0, size_t i);
+
 // tokenize an input text prompt and a list of bitmaps (images/audio)
 // the prompt must have the input image marker (default: "<__media__>") in it
 // the default marker is defined by mtmd_default_marker()
diff --git a/tools/mtmd/tests.sh b/tools/mtmd/tests.sh
index d6a6b03c8..83416fb27 100755
--- a/tools/mtmd/tests.sh
+++ b/tools/mtmd/tests.sh
@@ -89,12 +89,17 @@ add_test_vision "ggml-org/LFM2-VL-450M-GGUF:Q8_0"
 add_test_vision "ggml-org/granite-docling-258M-GGUF:Q8_0"
 add_test_vision "ggml-org/LightOnOCR-1B-1025-GGUF:Q8_0"
 add_test_vision "ggml-org/DeepSeek-OCR-GGUF:Q8_0" -p "Free OCR." --chat-template deepseek-ocr
+add_test_vision "ggml-org/dots.ocr-GGUF:Q8_0" -p "OCR"
 add_test_vision "ggml-org/HunyuanOCR-GGUF:Q8_0" -p "OCR"
+add_test_vision "ggml-org/HunyuanVL-4B-GGUF:Q8_0"
+add_test_vision "ggml-org/gemma-4-E2B-it-GGUF:Q8_0" --jinja
 
 add_test_audio  "ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF:Q8_0"
 add_test_audio  "ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M"
 add_test_audio  "ggml-org/Voxtral-Mini-3B-2507-GGUF:Q4_K_M"
 add_test_audio  "ggml-org/LFM2-Audio-1.5B-GGUF:Q8_0"
+add_test_audio  "ggml-org/gemma-4-E2B-it-GGUF:Q8_0" --jinja
+add_test_audio  "ggml-org/Qwen3-ASR-0.6B-GGUF:Q8_0"
 
 # to test the big models, run: ./tests.sh big
 if [ "$RUN_BIG_TESTS" = true ]; then
diff --git a/tools/parser/CMakeLists.txt b/tools/parser/CMakeLists.txt
index 55e0c6343..a8df0e7e6 100644
--- a/tools/parser/CMakeLists.txt
+++ b/tools/parser/CMakeLists.txt
@@ -2,7 +2,7 @@ if (NOT WIN32 OR NOT BUILD_SHARED_LIBS)
     # this tool is disabled on Windows when building with shared libraries because it uses internal functions not exported with LLAMA_API
     set(TARGET llama-debug-template-parser)
     add_executable(${TARGET} debug-template-parser.cpp)
-    target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+    target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
     target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
     if(LLAMA_TOOLS_INSTALL)
@@ -12,7 +12,7 @@ endif()
 
 set(TARGET llama-template-analysis)
 add_executable(${TARGET} template-analysis.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/perplexity/CMakeLists.txt b/tools/perplexity/CMakeLists.txt
index 12b28b2be..0c194ee7f 100644
--- a/tools/perplexity/CMakeLists.txt
+++ b/tools/perplexity/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-perplexity)
 add_executable(${TARGET} perplexity.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/perplexity/perplexity.cpp b/tools/perplexity/perplexity.cpp
index 9c49e1863..75defd7c8 100644
--- a/tools/perplexity/perplexity.cpp
+++ b/tools/perplexity/perplexity.cpp
@@ -1,5 +1,6 @@
 #include "arg.h"
 #include "common.h"
+#include "fit.h"
 #include "log.h"
 #include "llama.h"
 
@@ -2049,11 +2050,16 @@ int main(int argc, char ** argv) {
     auto * model = llama_init->model();
     auto * ctx   = llama_init->context();
 
-    if (model == NULL) {
+    if (model == nullptr) {
         LOG_ERR("%s: unable to load model\n", __func__);
         return 1;
     }
 
+    if (ctx == nullptr) {
+        LOG_ERR("%s: failed to create context\n", __func__);
+        return 1;
+    }
+
     const int n_ctx_train = llama_model_n_ctx_train(model);
 
     if (params.n_ctx > n_ctx_train) {
@@ -2082,7 +2088,7 @@ int main(int argc, char ** argv) {
 
     LOG("\n");
     llama_perf_context_print(ctx);
-    llama_memory_breakdown_print(ctx);
+    common_memory_breakdown_print(ctx);
 
     llama_backend_free();
 
diff --git a/tools/quantize/CMakeLists.txt b/tools/quantize/CMakeLists.txt
index bd9ddbd67..965adc005 100644
--- a/tools/quantize/CMakeLists.txt
+++ b/tools/quantize/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-quantize)
 add_executable(${TARGET} quantize.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_include_directories(${TARGET} PRIVATE ../../common)
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
diff --git a/tools/quantize/quantize.cpp b/tools/quantize/quantize.cpp
index b727c9dd3..3d33d47d9 100644
--- a/tools/quantize/quantize.cpp
+++ b/tools/quantize/quantize.cpp
@@ -1,5 +1,8 @@
-#include "common.h"
 #include "llama.h"
+
+#include "build-info.h"
+#include "common.h"
+
 #include "gguf.h"
 
 #include <algorithm>
@@ -29,6 +32,7 @@ struct quant_option {
 };
 
 static const std::vector<quant_option> QUANT_OPTIONS = {
+    { "Q1_0",     LLAMA_FTYPE_MOSTLY_Q1_0,     " 1.125 bpw quantization",           },
     { "Q4_0",     LLAMA_FTYPE_MOSTLY_Q4_0,     " 4.34G, +0.4685 ppl @ Llama-3-8B",  },
     { "Q4_1",     LLAMA_FTYPE_MOSTLY_Q4_1,     " 4.78G, +0.4511 ppl @ Llama-3-8B",  },
     { "MXFP4_MOE",LLAMA_FTYPE_MOSTLY_MXFP4_MOE," MXFP4 MoE",  },
@@ -708,7 +712,7 @@ int main(int argc, char ** argv) {
         }
     }
 
-    print_build_info();
+    llama_print_build_info();
 
     if (params.dry_run) {
         fprintf(stderr, "%s: calculating quantization size for '%s' as %s", __func__, fname_inp.c_str(), ftype_str.c_str());
diff --git a/tools/results/CMakeLists.txt b/tools/results/CMakeLists.txt
index 2843b8488..643eb0292 100644
--- a/tools/results/CMakeLists.txt
+++ b/tools/results/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-results)
 add_executable(${TARGET} results.cpp)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/tools/rpc/README.md b/tools/rpc/README.md
index afbb302f4..05b7292c0 100644
--- a/tools/rpc/README.md
+++ b/tools/rpc/README.md
@@ -95,6 +95,12 @@ $ bin/rpc-server -c
 
 By default, the cache is stored in the `$HOME/.cache/llama.cpp/rpc` directory and can be controlled via the `LLAMA_CACHE` environment variable.
 
+### RDMA transport
+
+On Linux systems with RoCEv2-capable NICs (e.g. Mellanox ConnectX), the RPC backend can use RDMA instead of TCP for lower latency and higher throughput. The transport is negotiated automatically -- no changes to command-line usage are required.
+
+RDMA is enabled by default when `libibverbs` is found at build time.
+
 ### Troubleshooting
 
 Use the `GGML_RPC_DEBUG` environment variable to enable debug messages from `rpc-server`:
diff --git a/tools/rpc/rpc-server.cpp b/tools/rpc/rpc-server.cpp
index 03ab78e5f..08e680391 100644
--- a/tools/rpc/rpc-server.cpp
+++ b/tools/rpc/rpc-server.cpp
@@ -317,7 +317,7 @@ int main(int argc, char * argv[]) {
     const char * cache_dir = nullptr;
     std::string cache_dir_str;
     if (params.use_cache) {
-        cache_dir_str = fs_get_cache_directory() + "rpc/";
+        cache_dir_str = fs_get_cache_directory() + "rpc" + DIRECTORY_SEPARATOR;
         if (!fs_create_directory_with_parents(cache_dir_str)) {
             fprintf(stderr, "Failed to create cache directory: %s\n", cache_dir_str.c_str());
             return 1;
diff --git a/tools/server/CMakeLists.txt b/tools/server/CMakeLists.txt
index 451a045fe..71cc0e7a8 100644
--- a/tools/server/CMakeLists.txt
+++ b/tools/server/CMakeLists.txt
@@ -5,6 +5,8 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_BINARY_DIR})
 set(TARGET server-context)
 
 add_library(${TARGET} STATIC
+    server-chat.cpp
+    server-chat.h
     server-task.cpp
     server-task.h
     server-queue.cpp
@@ -23,7 +25,7 @@ endif()
 
 target_include_directories(${TARGET} PRIVATE ../mtmd)
 target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
-target_link_libraries(${TARGET} PUBLIC common mtmd ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PUBLIC llama-common mtmd ${CMAKE_THREAD_LIBS_INIT})
 
 
 # llama-server executable
@@ -68,6 +70,6 @@ install(TARGETS ${TARGET} RUNTIME)
 
 target_include_directories(${TARGET} PRIVATE ../mtmd)
 target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
-target_link_libraries(${TARGET} PRIVATE server-context PUBLIC common cpp-httplib ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE server-context PUBLIC llama-common cpp-httplib ${CMAKE_THREAD_LIBS_INIT})
 
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/tools/server/README.md b/tools/server/README.md
index b30309bf3..62f918ce4 100644
--- a/tools/server/README.md
+++ b/tools/server/README.md
@@ -82,7 +82,7 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `-cmoe, --cpu-moe` | keep all Mixture of Experts (MoE) weights in the CPU<br/>(env: LLAMA_ARG_CPU_MOE) |
 | `-ncmoe, --n-cpu-moe N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU<br/>(env: LLAMA_ARG_N_CPU_MOE) |
 | `-ngl, --gpu-layers, --n-gpu-layers N` | max. number of layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS) |
-| `-sm, --split-mode {none,layer,row}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs<br/>- row: split rows across GPUs<br/>(env: LLAMA_ARG_SPLIT_MODE) |
+| `-sm, --split-mode {none,layer,row,tensor}` | how to split the model across multiple GPUs, one of:<br/>- none: use one GPU only<br/>- layer (default): split layers and KV across GPUs (pipelined)<br/>- row: split weight across GPUs by rows (parallelized)<br/>- tensor: split weights and KV across GPUs (parallelized, EXPERIMENTAL)<br/>(env: LLAMA_ARG_SPLIT_MODE) |
 | `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1<br/>(env: LLAMA_ARG_TENSOR_SPLIT) |
 | `-mg, --main-gpu INDEX` | the GPU to use for the model (with split-mode = none), or for intermediate results and KV (with split-mode = row) (default: 0)<br/>(env: LLAMA_ARG_MAIN_GPU) |
 | `-fit, --fit [on\|off]` | whether to adjust unset arguments to fit in device memory ('on' or 'off', default: 'on')<br/>(env: LLAMA_ARG_FIT) |
@@ -100,7 +100,6 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `-mu, --model-url MODEL_URL` | model download url (default: unused)<br/>(env: LLAMA_ARG_MODEL_URL) |
 | `-dr, --docker-repo [<repo>/]<model>[:quant]` | Docker Hub model repository. repo is optional, default to ai/. quant is optional, default to :latest.<br/>example: gemma3<br/>(default: unused)<br/>(env: LLAMA_ARG_DOCKER_REPO) |
 | `-hf, -hfr, --hf-repo <user>/<model>[:quant]` | Hugging Face model repository; quant is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the repo if Q4_K_M doesn't exist.<br/>mmproj is also downloaded automatically if available. to disable, add --no-mmproj<br/>example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M<br/>(default: unused)<br/>(env: LLAMA_ARG_HF_REPO) |
-| `-hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_HFD_REPO) |
 | `-hff, --hf-file FILE` | Hugging Face model file. If specified, it will override the quant in --hf-repo (default: unused)<br/>(env: LLAMA_ARG_HF_FILE) |
 | `-hfv, -hfrv, --hf-repo-v <user>/<model>[:quant]` | Hugging Face model repository for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_REPO_V) |
 | `-hffv, --hf-file-v FILE` | Hugging Face model file for the vocoder model (default: unused)<br/>(env: LLAMA_ARG_HF_FILE_V) |
@@ -113,8 +112,8 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `-lv, --verbosity, --log-verbosity N` | Set the verbosity threshold. Messages with a higher verbosity will be ignored. Values:<br/> - 0: generic output<br/> - 1: error<br/> - 2: warning<br/> - 3: info<br/> - 4: debug<br/>(default: 3)<br/><br/>(env: LLAMA_LOG_VERBOSITY) |
 | `--log-prefix` | Enable prefix in log messages<br/>(env: LLAMA_LOG_PREFIX) |
 | `--log-timestamps` | Enable timestamps in log messages<br/>(env: LLAMA_LOG_TIMESTAMPS) |
-| `-ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) |
-| `-ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) |
+| `--spec-draft-type-k, -ctkd, --cache-type-k-draft TYPE` | KV cache data type for K for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_K) |
+| `--spec-draft-type-v, -ctvd, --cache-type-v-draft TYPE` | KV cache data type for V for the draft model<br/>allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1<br/>(default: f16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CACHE_TYPE_V) |
 
 
 ### Sampling params
@@ -167,7 +166,7 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `-cpent, --checkpoint-every-n-tokens N` | create a checkpoint every n tokens during prefill (processing), -1 to disable (default: 8192)<br/>(env: LLAMA_ARG_CHECKPOINT_EVERY_NT) |
 | `-cram, --cache-ram N` | set the maximum cache size in MiB (default: 8192, -1 - no limit, 0 - disable)[(more info)](https://github.com/ggml-org/llama.cpp/pull/16391)<br/>(env: LLAMA_ARG_CACHE_RAM) |
 | `-kvu, --kv-unified, -no-kvu, --no-kv-unified` | use single unified KV buffer shared across all sequences (default: enabled if number of slots is auto)<br/>(env: LLAMA_ARG_KV_UNIFIED) |
-| `--clear-idle, --no-clear-idle` | save and clear idle slots on new task (default: enabled, requires unified KV and cache-ram)<br/>(env: LLAMA_ARG_CLEAR_IDLE) |
+| `--cache-idle-slots, --no-cache-idle-slots` | save and clear idle slots on new task (default: enabled, requires unified KV and cache-ram)<br/>(env: LLAMA_ARG_CACHE_IDLE_SLOTS) |
 | `--context-shift, --no-context-shift` | whether to use context shift on infinite text generation (default: disabled)<br/>(env: LLAMA_ARG_CONTEXT_SHIFT) |
 | `-r, --reverse-prompt PROMPT` | halt generation at PROMPT, return control in interactive mode |
 | `-sp, --special` | special tokens output enabled (default: false) |
@@ -182,9 +181,6 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_OFFLOAD) |
 | `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
 | `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
-| `-otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
-| `-cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_CPU_MOE_DRAFT) |
-| `-ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_N_CPU_MOE_DRAFT) |
 | `-a, --alias STRING` | set model name aliases, comma-separated (to be used by API)<br/>(env: LLAMA_ARG_ALIAS) |
 | `--tags STRING` | set model tags, comma-separated (informational, not used for routing)<br/>(env: LLAMA_ARG_TAGS) |
 | `--host HOST` | ip address to listen, or bind to an UNIX socket if the address ends with .sock (default: 127.0.0.1)<br/>(env: LLAMA_ARG_HOST) |
@@ -195,7 +191,7 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `--webui-config JSON` | JSON that provides default WebUI settings (overrides WebUI defaults)<br/>(env: LLAMA_ARG_WEBUI_CONFIG) |
 | `--webui-config-file PATH` | JSON file that provides default WebUI settings (overrides WebUI defaults)<br/>(env: LLAMA_ARG_WEBUI_CONFIG_FILE) |
 | `--webui-mcp-proxy, --no-webui-mcp-proxy` | experimental: whether to enable MCP CORS proxy - do not enable in untrusted environments (default: disabled)<br/>(env: LLAMA_ARG_WEBUI_MCP_PROXY) |
-| `--tools TOOL1,TOOL2,...` | experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)<br/>specify "all" to enable all tools<br/>available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff<br/>(env: LLAMA_ARG_TOOLS) |
+| `--tools TOOL1,TOOL2,...` | experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)<br/>specify "all" to enable all tools<br/>available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, apply_diff, get_datetime<br/>(env: LLAMA_ARG_TOOLS) |
 | `--webui, --no-webui` | whether to enable the Web UI (default: enabled)<br/>(env: LLAMA_ARG_WEBUI) |
 | `--embedding, --embeddings` | restrict to only support embedding use case; use only with dedicated embedding models (default: disabled)<br/>(env: LLAMA_ARG_EMBEDDINGS) |
 | `--rerank, --reranking` | enable reranking endpoint on server (default: disabled)<br/>(env: LLAMA_ARG_RERANKING) |
@@ -222,27 +218,55 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `-rea, --reasoning [on\|off\|auto]` | Use reasoning/thinking in the chat ('on', 'off', or 'auto', default: 'auto' (detect from template))<br/>(env: LLAMA_ARG_REASONING) |
 | `--reasoning-budget N` | token budget for thinking: -1 for unrestricted, 0 for immediate end, N>0 for token budget (default: -1)<br/>(env: LLAMA_ARG_THINK_BUDGET) |
 | `--reasoning-budget-message MESSAGE` | message injected before the end-of-thinking tag when reasoning budget is exhausted (default: none)<br/>(env: LLAMA_ARG_THINK_BUDGET_MESSAGE) |
-| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
-| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
+| `--chat-template JINJA_TEMPLATE` | set custom jinja chat template (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE) |
+| `--chat-template-file JINJA_TEMPLATE_FILE` | set custom jinja chat template file (default: template taken from model's metadata)<br/>if suffix/prefix are specified, template will be disabled<br/>only commonly used templates are accepted (unless --jinja is set before this flag):<br/>list of built-in templates:<br/>bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, command-r, deepseek, deepseek-ocr, deepseek2, deepseek3, exaone-moe, exaone3, exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, granite-4.0, grok-2, hunyuan-dense, hunyuan-moe, hunyuan-ocr, kimi-k2, llama2, llama2-sys, llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, yandex, zephyr<br/>(env: LLAMA_ARG_CHAT_TEMPLATE_FILE) |
 | `--skip-chat-parsing, --no-skip-chat-parsing` | force a pure content parser, even if a Jinja template is specified; model will output everything in the content section, including any reasoning and/or tool calls (default: disabled)<br/>(env: LLAMA_ARG_SKIP_CHAT_PARSING) |
 | `--prefill-assistant, --no-prefill-assistant` | whether to prefill the assistant's response if the last message is an assistant message (default: prefill enabled)<br/>when this flag is set, if the last message is an assistant message then it will be treated as a full message and not prefilled<br/><br/>(env: LLAMA_ARG_PREFILL_ASSISTANT) |
 | `-sps, --slot-prompt-similarity SIMILARITY` | how much the prompt of a request must match the prompt of a slot in order to use that slot (default: 0.10, 0.0 = disabled) |
 | `--lora-init-without-apply` | load LoRA adapters without applying them (apply later via POST /lora-adapters) (default: disabled) |
 | `--sleep-idle-seconds SECONDS` | number of seconds of idleness after which the server will sleep (default: -1; -1 = disabled) |
-| `-td, --threads-draft N` | number of threads to use during generation (default: same as --threads) |
-| `-tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) |
-| `--draft, --draft-n, --draft-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_DRAFT_MAX) |
-| `--draft-min, --draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_DRAFT_MIN) |
-| `--draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_DRAFT_P_MIN) |
-| `-cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_CTX_SIZE_DRAFT) |
-| `-devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
-| `-ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
-| `-md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_MODEL_DRAFT) |
-| `--spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
+| `--spec-draft-hf, -hfd, -hfrd, --hf-repo-draft <user>/<model>[:quant]` | Same as --hf-repo, but for the draft model (default: unused)<br/>(env: LLAMA_ARG_SPEC_DRAFT_HF_REPO) |
+| `--spec-draft-threads, -td, --threads-draft N` | number of threads to use during generation (default: same as --threads) |
+| `--spec-draft-threads-batch, -tbd, --threads-batch-draft N` | number of threads to use during batch and prompt processing (default: same as --threads-draft) |
+| `--spec-draft-cpu-mask, -Cd, --cpu-mask-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) |
+| `--spec-draft-cpu-range, -Crd, --cpu-range-draft lo-hi` | Ranges of CPUs for affinity. Complements --cpu-mask-draft |
+| `--spec-draft-cpu-strict, --cpu-strict-draft <0\|1>` | Use strict CPU placement for draft model (default: same as --cpu-strict) |
+| `--spec-draft-prio, --prio-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
+| `--spec-draft-poll, --poll-draft <0\|1>` | Use polling to wait for draft model work (default: same as --poll) |
+| `--spec-draft-cpu-mask-batch, -Cbd, --cpu-mask-batch-draft M` | Draft model CPU affinity mask. Complements cpu-range-draft (default: same as --cpu-mask) |
+| `--spec-draft-cpu-strict-batch, --cpu-strict-batch-draft <0\|1>` | Use strict CPU placement for draft model (default: --cpu-strict-draft) |
+| `--spec-draft-prio-batch, --prio-batch-draft N` | set draft process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime (default: 0) |
+| `--spec-draft-poll-batch, --poll-batch-draft <0\|1>` | Use polling to wait for draft model work (default: --poll-draft) |
+| `--spec-draft-override-tensor, -otd, --override-tensor-draft <tensor name pattern>=<buffer type>,...` | override tensor buffer type for draft model |
+| `--spec-draft-cpu-moe, -cmoed, --cpu-moe-draft` | keep all Mixture of Experts (MoE) weights in the CPU for the draft model<br/>(env: LLAMA_ARG_SPEC_DRAFT_CPU_MOE) |
+| `--spec-draft-n-cpu-moe, --spec-draft-ncmoe, -ncmoed, --n-cpu-moe-draft N` | keep the Mixture of Experts (MoE) weights of the first N layers in the CPU for the draft model<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_CPU_MOE) |
+| `--spec-draft-n-max N` | number of tokens to draft for speculative decoding (default: 16)<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_MAX) |
+| `--spec-draft-n-min N` | minimum number of draft tokens to use for speculative decoding (default: 0)<br/>(env: LLAMA_ARG_SPEC_DRAFT_N_MIN) |
+| `--spec-draft-p-split, --draft-p-split P` | speculative decoding split probability (default: 0.10)<br/>(env: LLAMA_ARG_SPEC_DRAFT_P_SPLIT) |
+| `--spec-draft-p-min, --draft-p-min P` | minimum speculative decoding probability (greedy) (default: 0.75)<br/>(env: LLAMA_ARG_SPEC_DRAFT_P_MIN) |
+| `--spec-draft-ctx-size, -cd, --ctx-size-draft N` | size of the prompt context for the draft model (default: 0, 0 = loaded from model)<br/>(env: LLAMA_ARG_SPEC_DRAFT_CTX_SIZE) |
+| `--spec-draft-device, -devd, --device-draft <dev1,dev2,..>` | comma-separated list of devices to use for offloading the draft model (none = don't offload)<br/>use --list-devices to see a list of available devices |
+| `--spec-draft-ngl, -ngld, --gpu-layers-draft, --n-gpu-layers-draft N` | max. number of draft model layers to store in VRAM, either an exact number, 'auto', or 'all' (default: auto)<br/>(env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) |
+| `--spec-draft-model, -md, --model-draft FNAME` | draft model for speculative decoding (default: unused)<br/>(env: LLAMA_ARG_SPEC_DRAFT_MODEL) |
+| `--spec-draft-replace, --spec-replace TARGET DRAFT` | translate the string in TARGET into DRAFT if the draft model and main model are not compatible |
 | `--spec-type [none\|ngram-cache\|ngram-simple\|ngram-map-k\|ngram-map-k4v\|ngram-mod]` | type of speculative decoding to use when no draft model is provided (default: none)<br/><br/>(env: LLAMA_ARG_SPEC_TYPE) |
-| `--spec-ngram-size-n N` | ngram size N for ngram-simple/ngram-map speculative decoding, length of lookup n-gram (default: 12) |
-| `--spec-ngram-size-m N` | ngram size M for ngram-simple/ngram-map speculative decoding, length of draft m-gram (default: 48) |
-| `--spec-ngram-min-hits N` | minimum hits for ngram-map speculative decoding (default: 1) |
+| `--spec-ngram-mod-n-min N` | minimum number of ngram tokens to use for ngram-based speculative decoding (default: 48) |
+| `--spec-ngram-mod-n-max N` | maximum number of ngram tokens to use for ngram-based speculative decoding (default: 64) |
+| `--spec-ngram-mod-n-match N` | ngram-mod lookup length (default: 24) |
+| `--spec-ngram-simple-size-n N` | ngram size N for ngram-simple speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-simple-size-m N` | ngram size M for ngram-simple speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-simple-min-hits N` | minimum hits for ngram-simple speculative decoding (default: 1) |
+| `--spec-ngram-map-k-size-n N` | ngram size N for ngram-map-k speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-map-k-size-m N` | ngram size M for ngram-map-k speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-map-k-min-hits N` | minimum hits for ngram-map-k speculative decoding (default: 1) |
+| `--spec-ngram-map-k4v-size-n N` | ngram size N for ngram-map-k4v speculative decoding, length of lookup n-gram (default: 12) |
+| `--spec-ngram-map-k4v-size-m N` | ngram size M for ngram-map-k4v speculative decoding, length of draft m-gram (default: 48) |
+| `--spec-ngram-map-k4v-min-hits N` | minimum hits for ngram-map-k4v speculative decoding (default: 1) |
+| `--draft, --draft-n, --draft-max N` | the argument has been removed. use --spec-draft-n-max or --spec-ngram-mod-n-max<br/>(env: LLAMA_ARG_DRAFT_MAX) |
+| `--draft-min, --draft-n-min N` | the argument has been removed. use --spec-draft-n-min or --spec-ngram-mod-n-min<br/>(env: LLAMA_ARG_DRAFT_MIN) |
+| `--spec-ngram-size-n N` | the argument has been removed. use the respective --spec-ngram-*-size-n or --spec-ngram-mod-n-match |
+| `--spec-ngram-size-m N` | the argument has been removed. use the respective --spec-ngram-*-size-m |
+| `--spec-ngram-min-hits N` | the argument has been removed. use the respective --spec-ngram-*-min-hits |
 | `-mv, --model-vocoder FNAME` | vocoder model for audio generation (default: unused) |
 | `--tts-use-guide-tokens` | Use guide tokens to improve TTS word recall |
 | `--embd-gemma-default` | use default EmbeddingGemma model (note: can download weights from the internet) |
@@ -256,6 +280,7 @@ For the full list of features, please refer to [server's changelog](https://gith
 | `--gpt-oss-120b-default` | use gpt-oss-120b (note: can download weights from the internet) |
 | `--vision-gemma-4b-default` | use Gemma 3 4B QAT (note: can download weights from the internet) |
 | `--vision-gemma-12b-default` | use Gemma 3 12B QAT (note: can download weights from the internet) |
+| `--spec-default` | enable default speculative decoding config |
 
 <!-- HELP_END -->
 
@@ -806,6 +831,7 @@ By default, it is read-only. To make POST request to change global properties, y
   "modalities": {
     "vision": false
   },
+  "media_marker": "<__media_YoNhud46VdDqbuFmKYEO9PY7A4ARzRfg__>",
   "build_info": "b(build number)-(build commit hash)",
   "is_sleeping": false
 }
@@ -1620,7 +1646,11 @@ Listing all models in cache. The model metadata will also include a field to ind
 }
 ```
 
-Note: For a local GGUF (stored offline in a custom directory), the model object will have `"in_cache": false`.
+Note:
+1. For a local GGUF (stored offline in a custom directory), the model object will have `"in_cache": false`.
+2. Adding `?reload=1` to the query params will refresh the list of models. The behavior is as follow:
+    - If a model is running but updated or removed from the source, it will be unloaded
+    - If a model is not running, it will be added or updated according to the source
 
 The `status` object can be:
 
diff --git a/tools/server/public/bundle.css b/tools/server/public/bundle.css
index ec9de7e51..0ae8085e7 100644
--- a/tools/server/public/bundle.css
+++ b/tools/server/public/bundle.css
@@ -1 +1 @@
-@layer properties{@supports (((-webkit-hyphens:none)) and (not (margin-trim:inline))) or ((-moz-orient:inline) and (not (color:rgb(from red r g b)))){*,:before,:after,::backdrop{--tw-translate-x:0;--tw-translate-y:0;--tw-translate-z:0;--tw-scale-x:1;--tw-scale-y:1;--tw-scale-z:1;--tw-rotate-x:initial;--tw-rotate-y:initial;--tw-rotate-z:initial;--tw-skew-x:initial;--tw-skew-y:initial;--tw-space-y-reverse:0;--tw-space-x-reverse:0;--tw-border-style:solid;--tw-gradient-position:initial;--tw-gradient-from:#0000;--tw-gradient-via:#0000;--tw-gradient-to:#0000;--tw-gradient-stops:initial;--tw-gradient-via-stops:initial;--tw-gradient-from-position:0%;--tw-gradient-via-position:50%;--tw-gradient-to-position:100%;--tw-leading:initial;--tw-font-weight:initial;--tw-tracking:initial;--tw-ordinal:initial;--tw-slashed-zero:initial;--tw-numeric-figure:initial;--tw-numeric-spacing:initial;--tw-numeric-fraction:initial;--tw-shadow:0 0 #0000;--tw-shadow-color:initial;--tw-shadow-alpha:100%;--tw-inset-shadow:0 0 #0000;--tw-inset-shadow-color:initial;--tw-inset-shadow-alpha:100%;--tw-ring-color:initial;--tw-ring-shadow:0 0 #0000;--tw-inset-ring-color:initial;--tw-inset-ring-shadow:0 0 #0000;--tw-ring-inset:initial;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-offset-shadow:0 0 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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4eUgTY/KlOrf1992f/KvHY330GX4XsjkGKmy64vF9gelrU0o/FfDe0Fxz7iLKzSYXolDmTtTktZU28by++yF4MwZ4ZbUNfD+T3/7xIxsFlnkI6vVLaleSnYxnSjjQZPKPaOiKWRN/yk96W0PFP7V/TSXBoo5EZ5Rfgkp74Pe9byGx780CcpJa3m53GrFY6UQNu05yCCYsoo6neBNB60MsrZMaPG1RewWtSFCHz5ZE/N7uZHETNFcpsihVCcIrE0YIY9pTSaoh8nedzqgPBuMgbuYMPCyVE+Dmnz8Iaaw+YyBTQhx4HGIkKvHbFw7Jd/30AF1d29dTEWU7jUEdQOGag35tdazAR6k3ovonaAi92cblgXatUiIMqxZJndnySfM8D3cfDA0cmeGpxYN6kfu6pMmNbbT+GIptyFG9P+u07FAKFaqAwlCsGYn2DnnDzfF0EhYeScEfJ7k8GcG840vc5xnseI0XNhU9tBIsc4tZ1+ci7yxJuFhwiG+3dC4/v7K/yFQB2x6L7zLxce/4JILt5iMM6D4D2zMCfEAOt6N8eOqhZNXVFxnqXaqAj+9JV/b/ILwRiLVd98VX3PMTfenWjtjquIX3yFg9zL9R1C2VOlGQnWFF3YuldZbLQiChOKdjPQM07h6OZMhShKKI1Pfy9Eq1rB5N97dvzZvhYE+Www2ye8U403Fzsmk0TinYC8gD98RKobnAq2oP+O8KDrmYSNRNHi1SP5BPq7FuyRSc92Qp/zNn7eqoJ2SF248h2HcDoAM6poPr7aRj5SLE1cGPjQCd8bk2o+CSfRI06tWcaiuRR9mEC+jVYCV1Ets5ItV40dhN+EyTXoVxwpdSRCQxidMYnf3WhQ9L8G/EXzbWhqpHQqBg43QYLy5o1W4JOw1deegJfeD/U6GO4TS7YTjmovQdZ1/SFZU+XRWaGtwnfBg7/r1wK9PWJJhxehbPCNM3CSccRvBHGFaXLGGoGvJ+5MaNFUMsFCDLo4gqXMGzEzNGQvY5fZLLKJBYvH09BP1uOXWT+Gy0tAUzTGNxSMKsl1C3KtYV3tmT8K1/huCsBOY5ldvsJGmYmbNUTSdsw0sukq4QIOxhiNIr+gQzIqQw9hfsMMYYXh43M/sQUsn7gRt6tSlVZ2GkE6cY10Uy53Tbk6ND8D8/nIKK+4mvFuusRWVBFvuzkjlUlcs6hO3uc8pST08QZCEiMmzt3e943710PQy3oYQKgBKITSNBRYXe8mRzMpKU6oM8mhN+f5bQoBp8hF9xuheIWSG+QQSLICqfUVHsKhnqSBs6RVn/Xv0SraVrjzfWQZAdhcvNfaNxj7FTQoPjiIubNzYf5iwOgJb5PJa422l3CUWFpiz6o21JZt+Cm+tDhznSTCjHXIAZLUAykp7lkwe/JQiuEo4oejM3ufQbUxTRZzvJplNNXCnlZrLqtp5MrqbNDlmA+v89GRTTzD5402syNv9K+icm3mok5Qpvq9jfif2oxtgKR6CRyqEqVswxweaWZqKTiqbjYaE87UxitGsMya4SeeDSie3mbghb4uqC3XVy1RfGt6CGXmmeu7U50KsLZUEoA/U0rJ276xkwQvJO0eUFyhqRTDt/IHiqPfmwgxsWDv0J3+djs0MjnPJS9E+Flo7o3HQT6vV4qTQYgyRMmCl9SBzeg2eawQqUFueJ3Z620AuvfGujlbd1SiG1PZJ1VnHyQHcasnMnQQyLB32mcTpkd/Bn7nx8sIQM5SVjxqpiOQJi3ZV56d62VwVq082bUYVq/y1cSJVDqwWYyUlT98oB9aZjmcL83fCq3ZtfA+nIa3+ECLdBIccRvC7usfb3MGUXEJRbXpCE4sT14WKSAgnH4GOiqeFPx7mO8O+41ZcW1WuoMgQQvRnN1/cO0khD0xRDEZDSZo9YfE7VLYzklI/IPfRahPovUuIIIJkoSETrmGzAsUJC06TSgWm3lnRfVYNPQZCXGoaOhOC35A1v3Pii2swO6xlcCxl2RvaIY1iv8kV26j0xfTdtr+cJj9F/h2doz1PKCa0bjGqNVk0Fdk8eEuCQoTAtYSLei07gd+BtqlbYrCxXs0A28FbHmFwuLRxf3K9eZ0V66yBvbc1XsEg7dGySrpP5xZlBVTd9gFm9v7LJPfbRj7nJu7Bnyn3ojzoHvgiXfmW0zkj2l//53/T8QFWjla9i9onQ2Q7fVa/uujVH9s8wtQ7ZiMYw6qcOjwxs+XHttOmn5bGU/Wtjmq9TIUI9HQYxRyb91472kYtM5fjvM8H65sas5Mwupe2+2kl24+hgpLiPvfde4TRvcm237FGNgs3jBw4U8Vdr8hM+qOdTM/v0Wo/phfPVD+uLUqtlaKbIC//QDUdJy/JxydM2FzNiDecRqYsK1s5iXsTQjNObigLe0+E2bPRIZbb3eOlxariyyoix8/luRtgleOhius2ztazh1vAtZrryPqUDQeg1TeRFRn8UveeaPwdOK1eBvmfCPORNtuqDP/G7ZPuU8uGdC44f83mg6n7oZzEFNFOOU85wR/zIYLzYsj4aumrRgP2BeNZsdSno1NMVBVlpIkKolxC26bzy9lWwoebHjGhgKYNzrVd1aRIrTWJEFhjgwUfVX6z9nad8Y+uiReLmLrxSU1pLlxWCtjxmgfK6+uBJCjNR4YGv+f5y7jKuNo4pRRvrut3bIHY6ymFCwq0w4l7Qrelu8IfUslcP+J7QKP+px40yGpJPkBufR23DCwnybx8pFxQw78PrBSEhAsAbN4KF+QDSRD/TFvIbxopbTd+sO1tAcIOGlIsuNePzylRxs7hCQQ7f/0POAILD/154/vxgK/j8iH1T6z4A16BVCdhM+sEPutfCCrqgkw442CTX3AKgo/lQswXARmvfx+Fqmpj6SkN7HsMz82eef7cUQH8A2P+1nMSkiomWO3a5iZtO4sooUh7v3hSxKmRxL9SdVEs2iAWHE3VvBi4r/7Z+oPXICHquxS0raz576mdl7xnbnEe87V4vbS3xfcYTTkEdS8U9LQVKj78frJUzbB5XtzYWW3bHyVw6J+e6wx8JmV7e9eDEHjHqM2avftcb+Wdj7rjfsxnhcz071WJDXBZb4hbrsynv0vt+HM91RBfVlLZNhzGf2RWaUYtabJmCO78KGIn1SWflyt/zPMV3ciOL/1lmGVIPs2OOH6HYv3fol0FG46s1X07tGdI9/2R1RsgYDR0I4yHm8aIx5e1ZC879DDm+1pnNGzsIH6774YNpOYOgwRmXF1yICtjyeGrCBO7eVmilsX1ShmQYhRyjtPcaXVQrV0GDRvAqHGZ9mZOc+lzDa88pm0Y5ll4DXFES4nJ+2zPYTl/KgXGXbuJ5dr4h4ndu4z+UrUb7PFPfFgTf+yZ27MbcLDIFuW2COdT/RQ11vhqO0ep4rRfbRyjp7B3dhuc65x6L3ADo5gGXsrCWOef4h4RBhPE6F4JlP9HAwMuI2I7Xacw5vO51cZidTurMywEDGRS70/r2bwprUfvRyYZQNgr3wC1V1tHh7MNiZ57kZC2Sw78OFTJ87r0iji9i+eFKnHgl3eK0Ar8rSTtyfBv22XiFkv9Tz/BF3JlIkK3kI60IcJvVzmYthrCaq14FCt/LyPVb2VHvOy4Si+bUT/p/k2Stjx36Q7Hh15FyVhR4J8d3vS9roF2dJ2aBpg2aqSJeC1RLqEfuwRMY1wy/chd/vwrpzCPMmGnkYg8qHiIe88+DH2guHioq6+2rr01Z27UsnR4+dhYXyy9CUH4FUgaA/0y6KqG0zpyc5ZU39pVWZCKgv3Q02UY45rBZ1SmpRO0kbIkUEaaSE8bH6eNNGEyS9++52TVbhSZEUrY/rHy7jTBva8ojb43xfeBE9lHina+XQjwPkW1q2MUc2TRRlqqUktpI93RHgzAsfKIojlwaPyXf9t83g4+8msUYzX9Qifbs9SlFZ2P6FK/WPUbJiMCTWnUAslEWahG+9fHQor2nGzodDDW3TJk+guwbk63vLDkvVRlTVnR17uX4aV6811egnv3UUUp5Rv9MOuHD9O6vXkN+A02N+FRnYiNbez8o6ZdArbE+wGTjBppIpegjZSD3QqSnqYl5VKVInnzle+YdgttwnIYLV0d7cnT90tnanxmxRNCWkjObPcU3v7k09sreyxRHfjAna8sTDzeqrqeet2etdmeeqLRFTxJLY8PdziDqsyDHWG2cuU3D7BH9p3pfFaGpObcHqjyOxsD/3ylrsrX0yf1KKMrz+b5xsMIWqC0zfnJKUJX+MhoEQvjo6wqmA3kmVf6yvufflZPzGdNyjjEJfxWrs61rhJ4UwU+HU0bnJijTN/hxu1KT/GL1ujn5LxFl5Tcc2Cao/7nyKccjYB43FWK4+xHEKfsxjRd9JNrOMMl0lYj+MNhc2xBfyhWnB7xiMJKVF/7qiXhVGUC1CMtD0fFfSNTz+/GAwu7UcZEiG4VP209dXZ+JhKUyp3T3fwkeuTUFwNZnLizV976vKXaWbqajOy2qoZlt/jr+zYvKXjues+K3Vjc6IJ2VikLD7Y+I/5dNDEi24/rZ6kdVMdew/URllSqc6fSFXem/f8DC9a1iXYT0avmWxUbeOw3hl13nX86/La42IPJVROaxk7L0kfb2vBFwNW1MppOHjgGpGXs5upiT1HhpdcPatcVn3iqmffzI4MlLfkgcNkVWPO032o2LLrFSNq96XRMmVazuKUEFL3Fvpc9Nz93KlYiInyFbPIgxnzoMYMPYWz8851Fif1Ni39oXTKQ45Ne1cWcQhF1NwLjnSiqWFEkxrjuHYzZojaJL1Mapf/Y1vu28384vqJkqBCEvsmPgvkJmWhtun20cBiXLmb8DIvxaQZERAkysks/fN9aFk0nHwqjkCZeGi0GebksbLoYFCp2Me9at75kirjwslm/bh77P3uY8WicemvoxdasYTLUTZZnO7prsZz7O87Nzg03J7+JQik0+ZjByUD/84e0mf2tS79rW9rvuA92u0zeSl6K2Liqus/gFOrE9ELHolms/vC7Suh2qjCxbJn2BwEld3lB5eT7tC2btZu38L0WVtG5cvIPyzRLUU6yLYxzMDzYXhxtK7bcQPH9h/UnT/3mj59yoUwGQWOXZEJZZkZ0+P43TPB3/zbU7+q27dpbK6PpQmsSLW2WbwCbdu0QFYUXgftuO3Ky3mdBBFRZXFhYcOEke9SIfblI+uXOeC3hM9LXrgAqQY5qsWjVWkiTDSHzi5/CWna2s8PXZAiMSEJXm/79YeXvT5WEaJVI6RtgmFKUv75KXQQyxW6U3sBa5qu+Cp7fA0H/Y5fuhBaeVc/emmj5G9s++rB4FIYxWujlc9FFucNrP1vaveifwZ+gURih2nueylarBB7CsL13T/G35Kbmb6d+k66bHlb0ff7no8LLR/yxwiuHG9o+loYubklNDOrU3UgfA+W6cW4LnDoKpKe1F86eU69tBBWDgzZeYIPx+0xrzm/ZVQcyr1OOFJzDOpVPPlhUl3G6o7DTgAllAT/dcj+0eLa63cFsxQfcyl//bRxa0WqtendNfoCT7y17/rYAzqiBDJgAW8XS8MxM1hpywnDF2BDNyx/vlWDLYkyvUi96OHqXwLzwumV0gb2acCQW0mOPaAsMTO54BbAP7ekylO0q2dm4abN0bhfYuVtOtGR/FikC4efzi0DLTTyls7tKhDy7e99LyivXKjLZTSi/a+2FlVlRSQKGwXT93pcENKndRa7rjlEVHSJqF4cHl46MJ5iquMXWJG/u2ocfPFcoTsB8j5AJFuB3M6lHponi19R8gXUWDARC9WvFxDRC3D+uJOJ5UXADsA5YX4IfkMWP5o6IatLA91/Im6W0zTXuC1ZJ0JKl4HMW+cZ/v5kvNvRh1lkqNY3qmDeWvFPx49FsWYu89B1oroO2J+ukUuatcdGdG/cfuFN0a5wpxXL1ZxIFzEJVlbf/TnfU479nfnk6dS3EbUMgbj79d8rlutkAmZ0Vdd9J3DuGStNJl54MzKannC1O1LP1Kwq1lqmcrl8n2Xn3zO1Idz4V4jRjspGayH/FezscZmzw6wjUu6N/j5iABZ+hjFdFBFug50w/0bXyVKB963H9/S1Rb56Sw3Sbuna1bYH/LJVAKJcdCoLrEyVjn7YqZ5aKRDu2L/uzYKTLf9eGrzgIZp4j815t7YQfHLi/iAEBGD0c7TlWeeX+Vm8a+bMES122ZHbFBbB8+VoGmQxNdCVIly5bdXnVJYmYKcQO58MwwVd+oWdH08lvv6GHvpPDEpKAH/q5cknVYjESh/MQh7uc0MRLaSP92++NxaQGQvLwrw/+iHV/TdU2rVvKJY6ZtVla89iHsa6pJiLRyZqY/Jphijr9jdpr1TaSDUgdNYWJ26DKMASM5KGQacFqoSgtVQg6VlTXHCKNIOrHfPop6pcnhto5KiWnveWJX+gpzOu232up+PYkstuCl7MRFNYLaWGpqe2KeD1+YCqI94FNQS2IiUUrK6xWT1kdbb1w2Ud0M/jsE3dp5LprA3iSnO2gynmpuJeVV9djpFOuphuWbIXSe2MCLF7/TOz+b3/MHfvO4gn/Vx59xZxDnseNn3/0sghuYRYY7gyYsMWdSeX0P1/prQq7+X5LfK6Qfp8pYRd57WfBKQXMrEZReaGu7hus3fJ4qPazrGXHo+kPeoJrpybH5c1SqiYNvxmT7dSUKmqxVf56MyFl4vtQZUBJJ+Oazz65yRdZh+6VXTHvp7dsQYxxXs2stTzkjvlOKWCsHEF/KzPWLV8z6ZujG+yakf1H0NO4elr6I8WxZdWo+7fi0BD2EZqUcDpAOcVBXHfgxaTkRwieJ96wz/bWPp3m5MnIKk2eeZOefIiVgOmtD7xa0zyfmd2id8UimGw1sqfnrXlv7V/O5lBIhSY2ROs7wVAhs8j+SlRO9/rKMRE15tMU6AotSe/WPacxOBZsvSeuamFa5oYUc4MrLckVP9OdUPNWRMmtPz/RUgXK6UXsZ9bnlraFQmml+LHDqi+JPZmSNsuPgONotE+R6EpFV6+QKMkZAJqN3ozNnRFOCTshC0PJxTUJ2Zn9mdlSA3T3bRyf5hUyOwW2aTMSb56b4KZLc6W08b0Qsx3dp7Lclc965neIrAk17gtClUGpbg34BRevX1/w4U0mIvJCRjwXWY40Gaktex84+QDtOft4a2Z6+T4e03DsMFS6sHpiiRgT/TLEUnB0yneEeVWeWEVnZU42b7dROBZLPSzQoMkVwp5cnRUd6I8rtGTFusPBtGbs+GFF7cAxcBzdYXWcKkhWP/sa61BZXZJtXTxRgbnnPj+B8mXvsHwp9b5vMsy6YzER+6dvJnoWDzBFyauekn/0zdTPRtmRQIkq76NjRdln/gvYrIH/zuA+dlDV1kaxlyrL6mzJdLBx/T1FCKUrWHBo7TMHNHM5a0wbf604b6QOdJQETcW48es3TwvhadTPP8hVccYo9Ycm22AOwqxxx4JF9QH7ms6Ur3JjnI35aRkp9rpXr33/IoGnzpXVJVoVWTmNusf+TwU0g2BTXet3lRdlhNH+XhMu89tR2qauJ2NCmu8rdPsrN1Vnezl3jcjicR3e+bLDGv+ITMVqL+L2F8TSVw4TFUkNpQm/o3salhBLhb0GjB5RuhUykULsRqLpwqQECaNOJ5WBXHtkLIPqXrWs7KKg/K0px/C6HZhRt1ZXZKx1/d6Ru2oYO6ikccFkffutYOJx18PgWDRdaE9GjSL3gEcyliYRrZ4/FWDr5hhnyfaKbPvHwYYpTjMvRSiThQrMykJEiMiX5d+ZuF67oGhfB50oFD5ZS8CsnOfjW+Jb7+6gcvOojrufOWcYMY7HVWEXnksUYD2bTHsDUY9v/smBenmLqieDzU3WTMobU8c6oolJ0cBeU89GhiSdJG1/Lwmyhj1fZZx0Us+nF0og0zbzZsm+MYcJO/scm8tI23UOGhqOdoq3v7ifZ04ZWfNx2OoXi7edeHJh45KuPcBJ3hYzICSyoKQdQAW1hY0SMSa4QTq0queFj6w/EW6H2/enY089lyhGi7+J/Qs7S0J//awMl7IaGKxPOq+bLSVb79za8EbDTZyHk0m76ND070lDxhYLBkEcd+rJp017xxxmjDNxJ8STV7I06gfIYrql67yCqII+NkGnIJ7KqTRO0Y8+Qh8wEWHR7YIW7Fp1NSMtt8TJf/3zolm+PJNVebjDJt3VkOVLjqvunv/9HwFejY3M0U6qIRcSMOR3/gYaf+xYnyFxSJpesMru+dThSImizXKJzJS+qANK/OGXWfziUkUNchV1Pjxiy43wh/Tub0eSOWf1jpdI7QfyuCs6A545BwL+ZRLo6EYS6NXTxrRTkQkRpMe2zGINOwI6vUEXYyLx4Zap2zE36TRgqY8kojuD9T+DM7YzW+oijNg1rWFvPhuPZmkmHCoKNYUN20LVsZ/QgDA1TShasNq08CkYYa5is9mrmDCMvbbX4Kxy6i+D/ipIIk5imVDwGHZy3mrKj8gWFpUURmRBi0X27CYG8qOhuMjwI8LYdA57+YywQxQTuRGCiTPECc1En7mJkBHSpl/pVOxXE92Ia/NjM0RjFv0N0G/g8pbCSDkI+KtRzEwnBIQi0qjznWHU1cTrD0TTyRVLwu5KlFLk1bjYbrNQWA1obNksHc6K3v3ZNEr0qAkpl5MYCYRjpbFwIJLI4UoJpWwA/rxuXWPxo3UvFEFzsxDIXFtx6TjuiU32Dk309g/01402rVu7pWz3QvaQsNrzNaenb0v9ZqSJ+sZ9RpKV2KDJiz7d1qSBxcbmprn6eH0EWrfPfK6Pw99QAVlTybF9abbDERmrilXrOh/85x7p+/Q9DuNrFRv4nHN95n3YSALxCuR9GZLxhOc2MQkzI5pOqlU92htNRJSAGDOfrSZv3vjBDEZuS3njpLDDF+xORqNSuewpyEDehGSsq1nnUjSa3mjQgfxy1Ez4jMNsA4F5mMjOyuxqpBKtRLqOXhqAFZwfMGokdf/A5QD3qlkm6aJto5vgD5dvqu8Udxs50XSyLft8YQxwB+GLL08KOFnBcqya+dnDktQupIbNV/wY4OvDotMiu6hwcfBxY+eVrlTJw5+1HkPhNwgF0CNjvCfOD/zO4AUw2AoxcASfWEayXWb0GFY7J6RShP0GsxmBHC3wa3GqR7VEc6b3lUke3OKAELN5x1TqBw9LQIW7Gr0Zprpte/miu4RoAjOKfW6DUNlOPe3J01d8PQz+fZwbKxK32i590IiH2E8Myw1XNLqDQ8lVoIAfVd1/OHFvFWaxMPx+zMRbT+pVj+fiIFyVPHTIAF/5jMqa1x0YBDFQWMQrvsJjQp+Dz6LpMv640mb5x+Cz8ov8xjAoBLFBjv8rB7Z1rDZWXGFccyipwRR76UOrbj+9ZAKYxvgk4TNGJeiQKJLq8pddz6iKSPXa67Zd0RRPZo/f801BejgtDCKiIVSyj5DofgbGckLsbno0Pujq71ToKssLMfW6l37G+FxLb5iimdgrsaoLleuqump34cGjhxUYdtbpXNjh5cvsJL9Ez18n8E/FeeDu9fMzEgzAO6vzJjUXeS0dWqgHS85WxyJhh68xvpdb6M9LNWvkAhxiROu01pflJ4LRWS4CqRb5MPIgTIBRwQwdCM9GDDisZfOJKi6AV1TBmCLuUAo2lYvSszu02ERRCWyQpgBrzqalJOqlMLKUZqSwIG9eymfBTYZSpCQ8FChnglqgcigec8yRxIE+xneaNSqMszA45CvkOMYJO7VyJg7cpJbkIC7XVaCI5epAoxdFEnxUaRQSxDpMoulYRlo8AxcpMcZB6SbEgZAFMJmLRggt7FtSSK9eLjp4855UswRTmTQ80GFDN5TFIIFUkjEeTnNwVp6tLKRzbJBETOLaxHi+Jp12UgPiHhWGIixVySMNkQGUWReHj9kscSgUSSEm8ZDiitBA9NwEF4E8gGyAalYnCqJ0JbddRTBJdqBbApS8VwDJDFeIAZcBgohhBG/MqBRiE1Qi1qIX3mw9k1KAMyC9AlSrMN1GCkGEAg2CjmTmtl9SnJOtg0nujaOZ7/KAHaEXLvpdjfzrGAMQUHzSW19rV7Mg5z8uQL4AAFi2cuxq89ZD/2NdEfwdAHAwANauToyq64oLCW/QYm/qLfEXp50GHSb89dXQHRgoO1Pbz1NmVMcAnpYnJU6RPKTM0FaOv9UEl/2DgNsEBLlslVAMNrCDVkzD7oKgZJN5ezGF+z4k9TXUY1d7UzKvEdwumt6fjqYIVLYZe/0TxoKyvb1uXCXntkcasoGSBIjmMlUnAHFsMg3japon1aCsLK7MeuIDeBhoi5KWL5nEWlP+B/GJAE2aRW781ABgT3x/CUvkXV5aawepW4ESkJIGj41xe+59YvaRyrXu/EJZX4hjKqwm72lQVucvoKy+esB572a+tBWPsMNcmhdoR9rMhut9PwuokwG58fbLaTUgt6Ylppvt0hs9S7IDDJ5GStIG9AAAaEf0Xny7LUz3XrHUGEZdGABxtk+QI1yQrmUZgYA61lV4J1AFiXdnFQx3tQoR9mwVKiHCKgZfMk5jW1W8GoCWfC2fu33Bb9CQxUb0WKDbGFKCdolsnBxfmyk5YopWkwI6jcJ4QENMS+jkdsu2QAqc+9mxUYspbsjgorK0IgJtWnXQbL/Fii6o8Gs0ix3yKEunu7yLz6C+Ng5x/oAxf8QCnQRi53ufLCRCS3J4PBCpWpIK7qCh2A1nHzy2cNcjHmczqHtpHpAtiwBPM4OdS6Lq12ULCcPmmMhm7fq1StNtIfOkG9LmP8mVeD/7kTX3As60BntJjQ27SXo4WVK5JNKSF9nhDuRN1iaVatV/tNuj12bZKrQ+O2rMsQO6eGKBkWbykPuYVCOMECGPa+lAE5KVdBqaAsXcX2YIthf1bLEx2A7xIprsrA6mnCW1WiRMjz4LbbTcpYu0klladNBgs7DvSBMPAad87ah2+drlMRA7Ma7sU/q5n6JMSDE8CEsv8v+1wCmw9N913p/Y/cqCY2Hj4OLhExASEZOQIsjIxVFQUlHTiEfSMzAyMbNIkCiJlU0yuxQOFCcXt1Rp0mXIlCVbDo9cXjSfgKCQfGEFChUpVqJUmYiocjEVKlWpVqNWnXoNGrUGBjustd0H3gwC3nIrKHjXe973tg/DgDCICeEQC2JDHIgL8SA+JACnzTrjrDnzQ+MDPQ4H7WiOcbrSm/gzGfmt/f2tkzdyZboZFd2dY61YcZi/raMVrumBIz2MWM+C7BtXDo329A0OIJHuHiRy8qfnSWeCog/w7Jk9BUE7zmeg3y3Y3Z8CzL3ZBABL6maeV+ECFGaHJ5swovKx9i4yAQrAOIQ4JwMvb9FPgACBRyO06bRmxrupJkQdJME4hwMfds1z1SlLGHMBXwXqWoa3V6xC2vu8Bhd1MD/pA/p//Qy6/RGeEp8ZHRgI7AMA) 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) 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) 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diff --git a/tools/server/public/bundle.js b/tools/server/public/bundle.js
index de91fd613..591d1ca75 100644
--- a/tools/server/public/bundle.js
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n=aZ(t.triggerNode,e.shiftKey?"prev":"next");n?(this.parentMenu.root.ignoreCloseAutoFocus=!0,t.onClose(),eo(()=>{n.focus(),eo(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})})):this.domContext.getDocument().body.focus()}onkeydown(e){if(e.defaultPrevented)return;if(e.key===QC){this.handleTabKeyDown(e);return}const t=e.target,n=e.currentTarget;if(!Io(t)||!Io(n))return;const a=t.closest(`[${this.parentMenu.root.getBitsAttr("content")}]`)?.id===this.parentMenu.contentId.current,i=e.ctrlKey||e.altKey||e.metaKey,s=e.key.length===1;if(this.rovingFocusGroup.handleKeydown(t,e)||e.code==="Space")return;const l=this.#a();a&&!i&&s&&this.#r(e.key,l),e.target?.id===this.parentMenu.contentId.current&&BQ.includes(e.key)&&(e.preventDefault(),HB.includes(e.key)&&l.reverse(),zQ(l,{select:!1},()=>this.domContext.getActiveElement()))}onblur(e){xc(e.currentTarget)&&xc(e.target)&&(e.currentTarget.contains?.(e.target)||(this.domContext.getWindow().clearTimeout(this.#t),this.search=""))}onfocus(e){this.parentMenu.root.isUsingKeyboard.current&&eo(()=>this.rovingFocusGroup.focusFirstCandidate())}onItemEnter(){return this.#s()}onItemLeave(e){if(e.currentTarget.hasAttribute(this.parentMenu.root.getBitsAttr("sub-trigger"))||this.#s()||this.parentMenu.root.isUsingKeyboard.current)return;this.parentMenu.contentNode?.focus(),this.rovingFocusGroup.setCurrentTabStopId("")}onTriggerLeave(){return!!this.#s()}handleInteractOutside(e){if(!GB(e.target))return;const t=this.parentMenu.triggerNode?.id;if(e.target.id===t){e.preventDefault();return}e.target.closest(`#${t}`)&&e.preventDefault()}get shouldRender(){return this.parentMenu.contentPresence.shouldRender}#o=F(()=>({open:this.parentMenu.opts.open.current}));get snippetProps(){return f(this.#o)}set snippetProps(e){M(this.#o,e)}#l=F(()=>({id:this.opts.id.current,role:"menu","aria-orientation":"vertical",[this.parentMenu.root.getBitsAttr("content")]:"","data-state":sl(this.parentMenu.opts.open.current),onkeydown:this.onkeydown,onblur:this.onblur,onfocus:this.onfocus,dir:this.parentMenu.root.opts.dir.current,style:{pointerEvents:"auto",contain:"layout style paint"},...this.attachment}));get props(){return f(this.#l)}set props(e){M(this.#l,e)}popperProps={onCloseAutoFocus:e=>this.onCloseAutoFocus(e)}}class nU{opts;content;attachment;#e=_e(!1);constructor(e,t){this.opts=e,this.content=t,this.attachment=yn(this.opts.ref),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this),this.onfocus=this.onfocus.bind(this),this.onblur=this.onblur.bind(this)}onpointermove(e){if(!e.defaultPrevented&&W_(e))if(this.opts.disabled.current)this.content.onItemLeave(e);else{if(this.content.onItemEnter())return;const n=e.currentTarget;if(!Io(n))return;n.focus()}}onpointerleave(e){e.defaultPrevented||W_(e)&&this.content.onItemLeave(e)}onfocus(e){eo(()=>{e.defaultPrevented||this.opts.disabled.current||M(this.#e,!0)})}onblur(e){eo(()=>{e.defaultPrevented||M(this.#e,!1)})}#t=F(()=>({id:this.opts.id.current,tabindex:-1,role:"menuitem","aria-disabled":Dc(this.opts.disabled.current),"data-disabled":Di(this.opts.disabled.current),"data-highlighted":f(this.#e)?"":void 0,[this.content.parentMenu.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onfocus:this.onfocus,onblur:this.onblur,...this.attachment}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}class j5{static create(e){const t=new nU(e,V5.get());return new j5(e,t)}opts;item;root;#e=!1;constructor(e,t){this.opts=e,this.item=t,this.root=t.content.parentMenu.root,this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this)}#t(){if(this.item.opts.disabled.current)return;const e=new CustomEvent("menuitemselect",{bubbles:!0,cancelable:!0});if(this.opts.onSelect.current(e),e.defaultPrevented){this.item.content.parentMenu.root.isUsingKeyboard.current=!1;return}this.opts.closeOnSelect.current&&this.item.content.parentMenu.root.opts.onClose()}onkeydown(e){const t=this.item.content.search!=="";if(!(this.item.opts.disabled.current||t&&e.key===no)&&JC.includes(e.key)){if(!Io(e.currentTarget))return;e.currentTarget.click(),e.preventDefault()}}onclick(e){this.item.opts.disabled.current||this.#t()}onpointerup(e){if(!e.defaultPrevented&&!this.#e){if(!Io(e.currentTarget))return;e.currentTarget?.click()}}onpointerdown(e){this.#e=!0}#r=F(()=>vr(this.item.props,{onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown}));get props(){return f(this.#r)}set props(e){M(this.#r,e)}}class K5{static create(e){const t=V5.get(),n=new nU(e,t),a=xf.get();return new K5(e,n,t,a)}opts;item;content;submenu;attachment;#e=null;constructor(e,t,n,a){this.opts=e,this.item=t,this.content=n,this.submenu=a,this.attachment=yn(this.opts.ref,i=>this.submenu.triggerNode=i),this.onpointerleave=this.onpointerleave.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),Qc(()=>{this.#t()})}#t(){this.#e!==null&&(this.content.domContext.getWindow().clearTimeout(this.#e),this.#e=null)}onpointermove(e){W_(e)&&!this.item.opts.disabled.current&&!this.submenu.opts.open.current&&!this.#e&&!this.content.parentMenu.root.isPointerInTransit&&(this.#e=this.content.domContext.setTimeout(()=>{this.submenu.onOpen(),this.#t()},this.opts.openDelay.current))}onpointerleave(e){W_(e)&&this.#t()}onkeydown(e){const t=this.content.search!=="";this.item.opts.disabled.current||t&&e.key===no||UQ[this.submenu.root.opts.dir.current].includes(e.key)&&(e.currentTarget.click(),e.preventDefault())}onclick(e){if(this.item.opts.disabled.current||!Io(e.currentTarget))return;e.currentTarget.focus();const t=new CustomEvent("menusubtriggerselect",{bubbles:!0,cancelable:!0});this.opts.onSelect.current(t),this.submenu.opts.open.current||(this.submenu.onOpen(),eo(()=>{const n=this.submenu.contentNode;n&&Y5.dispatch(n)}))}#r=F(()=>vr({"aria-haspopup":"menu","aria-expanded":Dc(this.submenu.opts.open.current),"data-state":sl(this.submenu.opts.open.current),"aria-controls":this.submenu.opts.open.current?this.submenu.contentId.current:void 0,[this.submenu.root.getBitsAttr("sub-trigger")]:"",onclick:this.onclick,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onkeydown:this.onkeydown,...this.attachment},this.item.props));get props(){return f(this.#r)}set props(e){M(this.#r,e)}}class X5{static create(e){return new X5(e,rU.get())}opts;root;attachment;constructor(e,t){this.opts=e,this.root=t,this.attachment=yn(this.opts.ref)}#e=F(()=>({id:this.opts.id.current,role:"group",[this.root.getBitsAttr("separator")]:"",...this.attachment}));get props(){return f(this.#e)}set props(e){M(this.#e,e)}}class Q5{static create(e){return new Q5(e,xf.get())}opts;parentMenu;attachment;constructor(e,t){this.opts=e,this.parentMenu=t,this.attachment=yn(this.opts.ref,n=>this.parentMenu.triggerNode=n)}onclick=e=>{this.opts.disabled.current||e.detail!==0||(this.parentMenu.toggleOpen(),e.preventDefault())};onpointerdown=e=>{if(!this.opts.disabled.current){if(e.pointerType==="touch")return e.preventDefault();e.button===0&&e.ctrlKey===!1&&(this.parentMenu.toggleOpen(),this.parentMenu.opts.open.current||e.preventDefault())}};onpointerup=e=>{this.opts.disabled.current||e.pointerType==="touch"&&(e.preventDefault(),this.parentMenu.toggleOpen())};onkeydown=e=>{if(!this.opts.disabled.current){if(e.key===no||e.key===$l){this.parentMenu.toggleOpen(),e.preventDefault();return}e.key===Rl&&(this.parentMenu.onOpen(),e.preventDefault())}};#e=F(()=>{if(this.parentMenu.opts.open.current&&this.parentMenu.contentId.current)return this.parentMenu.contentId.current});#t=F(()=>({id:this.opts.id.current,disabled:this.opts.disabled.current,"aria-haspopup":"menu","aria-expanded":Dc(this.parentMenu.opts.open.current),"aria-controls":f(this.#e),"data-disabled":Di(this.opts.disabled.current),"data-state":sl(this.parentMenu.opts.open.current),[this.parentMenu.root.getBitsAttr("trigger")]:"",onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown,...this.attachment}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}class SZ{static create(e){const t=xf.get();return xf.set(new Tv(e,t.root,t))}}globalThis.bitsDismissableLayers??=new Map;class Z5{static create(e){return new Z5(e)}opts;#e;#t;#r={pointerdown:!1};#n=!1;#i=!1;#a=void 0;#s;#o=xr;constructor(e){this.opts=e,this.#t=e.interactOutsideBehavior,this.#e=e.onInteractOutside,this.#s=e.onFocusOutside,Nt(()=>{this.#a=qB(this.opts.ref.current)});let t=xr;const n=()=>{this.#g(),globalThis.bitsDismissableLayers.delete(this),this.#u.destroy(),t()};nn([()=>this.opts.enabled.current,()=>this.opts.ref.current],()=>{if(!(!this.opts.enabled.current||!this.opts.ref.current))return M5(1,()=>{this.opts.ref.current&&(globalThis.bitsDismissableLayers.set(this,this.#t),t(),t=this.#c())}),n}),Qc(()=>{this.#g.destroy(),globalThis.bitsDismissableLayers.delete(this),this.#u.destroy(),this.#o(),t()})}#l=e=>{e.defaultPrevented||this.opts.ref.current&&eo(()=>{!this.opts.ref.current||this.#h(e.target)||e.target&&!this.#i&&this.#s.current?.(e)})};#c(){return Ac(jr(this.#a,"pointerdown",Ac(this.#p,this.#f),{capture:!0}),jr(this.#a,"pointerdown",Ac(this.#m,this.#u)),jr(this.#a,"focusin",this.#l))}#d=e=>{let t=e;t.defaultPrevented&&(t=kR(e)),this.#e.current(e)};#u=OR(e=>{if(!this.opts.ref.current){this.#o();return}const t=this.opts.isValidEvent.current(e,this.opts.ref.current)||TZ(e,this.opts.ref.current);if(!this.#n||this.#v()||!t){this.#o();return}let n=e;if(n.defaultPrevented&&(n=kR(n)),this.#t.current!=="close"&&this.#t.current!=="defer-otherwise-close"){this.#o();return}e.pointerType==="touch"?(this.#o(),this.#o=jr(this.#a,"click",this.#d,{once:!0})):this.#e.current(n)},10);#p=e=>{this.#r[e.type]=!0};#m=e=>{this.#r[e.type]=!1};#f=()=>{this.opts.ref.current&&(this.#n=wZ(this.opts.ref.current))};#h=e=>this.opts.ref.current?zB(this.opts.ref.current,e):!1;#g=OR(()=>{for(const e in this.#r)this.#r[e]=!1;this.#n=!1},20);#v(){return Object.values(this.#r).some(Boolean)}#_=()=>{this.#i=!0};#y=()=>{this.#i=!1};props={onfocuscapture:this.#_,onblurcapture:this.#y}}function EZ(r=[...globalThis.bitsDismissableLayers]){return r.findLast(([e,{current:t}])=>t==="close"||t==="ignore")}function wZ(r){const e=[...globalThis.bitsDismissableLayers],t=EZ(e);if(t)return t[0].opts.ref.current===r;const[n]=e[0];return n.opts.ref.current===r}function TZ(r,e){const t=r.target;if(!GB(t))return!1;const n=!!t.closest(`[${bZ}]`);if("button"in r&&r.button>0&&!n)return!1;if("button"in r&&r.button===0&&n)return!0;const a=!!e.closest(`[${vZ}]`);return n&&a?!1:qB(t).documentElement.contains(t)&&!zB(e,t)&&LQ(r,e)}function kR(r){const e=r.currentTarget,t=r.target;let n;r instanceof PointerEvent?n=new PointerEvent(r.type,r):n=new PointerEvent("pointerdown",r);let a=!1;return new Proxy(n,{get:(s,o)=>o==="currentTarget"?e:o==="target"?t:o==="preventDefault"?()=>{a=!0,typeof s.preventDefault=="function"&&s.preventDefault()}:o==="defaultPrevented"?a:o in s?s[o]:r[o]})}function J5(r,e){Ee(e,!0);let t=Y(e,"interactOutsideBehavior",3,"close"),n=Y(e,"onInteractOutside",3,xr),a=Y(e,"onFocusOutside",3,xr),i=Y(e,"isValidEvent",3,()=>!1);const s=Z5.create({id:Pe(()=>e.id),interactOutsideBehavior:Pe(()=>t()),onInteractOutside:Pe(()=>n()),enabled:Pe(()=>e.enabled),onFocusOutside:Pe(()=>a()),isValidEvent:Pe(()=>i()),ref:e.ref});var o=se(),l=L(o);ke(l,()=>e.children??$e,()=>({props:s.props})),T(r,o),we()}globalThis.bitsEscapeLayers??=new Map;class e9{static create(e){return new e9(e)}opts;domContext;constructor(e){this.opts=e,this.domContext=new Zc(this.opts.ref);let t=xr;nn(()=>e.enabled.current,n=>(n&&(globalThis.bitsEscapeLayers.set(this,e.escapeKeydownBehavior),t=this.#e()),()=>{t(),globalThis.bitsEscapeLayers.delete(this)}))}#e=()=>jr(this.domContext.getDocument(),"keydown",this.#t,{passive:!1});#t=e=>{if(e.key!==uQ||!CZ(this))return;const t=new KeyboardEvent(e.type,e);e.preventDefault();const n=this.opts.escapeKeydownBehavior.current;n!=="close"&&n!=="defer-otherwise-close"||this.opts.onEscapeKeydown.current(t)}}function CZ(r){const e=[...globalThis.bitsEscapeLayers],t=e.findLast(([a,{current:i}])=>i==="close"||i==="ignore");if(t)return t[0]===r;const[n]=e[0];return n===r}function t9(r,e){Ee(e,!0);let t=Y(e,"escapeKeydownBehavior",3,"close"),n=Y(e,"onEscapeKeydown",3,xr);e9.create({escapeKeydownBehavior:Pe(()=>t()),onEscapeKeydown:Pe(()=>n()),enabled:Pe(()=>e.enabled),ref:e.ref});var a=se(),i=L(a);ke(i,()=>e.children??$e),T(r,a),we()}class r9{static instance;#e=os([]);#t=new WeakMap;#r=new WeakMap;static getInstance(){return this.instance||(this.instance=new r9),this.instance}register(e){const t=this.getActive();t&&t!==e&&t.pause();const n=document.activeElement;n&&n!==document.body&&this.#r.set(e,n),this.#e.current=this.#e.current.filter(a=>a!==e),this.#e.current.unshift(e)}unregister(e){this.#e.current=this.#e.current.filter(n=>n!==e);const t=this.getActive();t&&t.resume()}getActive(){return this.#e.current[0]}setFocusMemory(e,t){this.#t.set(e,t)}getFocusMemory(e){return this.#t.get(e)}isActiveScope(e){return this.getActive()===e}setPreFocusMemory(e,t){this.#r.set(e,t)}getPreFocusMemory(e){return this.#r.get(e)}clearPreFocusMemory(e){this.#r.delete(e)}}class n9{#e=!1;#t=null;#r=r9.getInstance();#n=[];#i;constructor(e){this.#i=e}get paused(){return this.#e}pause(){this.#e=!0}resume(){this.#e=!1}#a(){for(const e of this.#n)e();this.#n=[]}mount(e){this.#t&&this.unmount(),this.#t=e,this.#r.register(this),this.#l(),this.#s()}unmount(){this.#t&&(this.#a(),this.#o(),this.#r.unregister(this),this.#r.clearPreFocusMemory(this),this.#t=null)}#s(){if(!this.#t)return;const e=new CustomEvent("focusScope.onOpenAutoFocus",{bubbles:!1,cancelable:!0});this.#i.onOpenAutoFocus.current(e),e.defaultPrevented||requestAnimationFrame(()=>{if(!this.#t)return;const t=this.#d();t?(t.focus(),this.#r.setFocusMemory(this,t)):this.#t.focus()})}#o(){const e=new CustomEvent("focusScope.onCloseAutoFocus",{bubbles:!1,cancelable:!0});if(this.#i.onCloseAutoFocus.current?.(e),!e.defaultPrevented){const t=this.#r.getPreFocusMemory(this);if(t&&document.contains(t))try{t.focus()}catch{document.body.focus()}}}#l(){if(!this.#t||!this.#i.trap.current)return;const e=this.#t,t=e.ownerDocument,n=s=>{if(this.#e||!this.#r.isActiveScope(this))return;const o=s.target;if(!o)return;if(e.contains(o))this.#r.setFocusMemory(this,o);else{const c=this.#r.getFocusMemory(this);if(c&&e.contains(c)&&eU(c))s.preventDefault(),c.focus();else{const u=this.#d(),d=this.#u()[0];(u||d||e).focus()}}},a=s=>{if(!this.#i.loop||this.#e||s.key!=="Tab"||!this.#r.isActiveScope(this))return;const o=this.#c();if(o.length===0)return;const l=o[0],c=o[o.length-1];!s.shiftKey&&t.activeElement===c?(s.preventDefault(),l.focus()):s.shiftKey&&t.activeElement===l&&(s.preventDefault(),c.focus())};this.#n.push(jr(t,"focusin",n,{capture:!0}),jr(e,"keydown",a));const i=new MutationObserver(()=>{const s=this.#r.getFocusMemory(this);if(s&&!e.contains(s)){const o=this.#d(),l=this.#u()[0],c=o||l;c?(c.focus(),this.#r.setFocusMemory(this,c)):e.focus()}});i.observe(e,{childList:!0,subtree:!0}),this.#n.push(()=>i.disconnect())}#c(){return this.#t?ZB(this.#t,{includeContainer:!1,getShadowRoot:!0}):[]}#d(){return this.#c()[0]||null}#u(){return this.#t?JB(this.#t,{includeContainer:!1,getShadowRoot:!0}):[]}static use(e){let t=null;return 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s&&this.#e.onMatch(s),s}resetTypeahead(){this.#r.current=""}}const nee=[Rl,P5,yv],aee=[xl,D5,vv],iee=[...nee,...aee],see=Hl({component:"select",parts:["trigger","content","item","viewport","scroll-up-button","scroll-down-button","group","group-label","separator","arrow","input","content-wrapper","item-text","value"]}),ig=new ka("Select.Root | Combobox.Root"),Nv=new ka("Select.Content | Combobox.Content");class _U{opts;#e=_e(!1);get touchedInput(){return f(this.#e)}set touchedInput(e){M(this.#e,e,!0)}#t=_e(null);get inputNode(){return f(this.#t)}set inputNode(e){M(this.#t,e,!0)}#r=_e(null);get contentNode(){return f(this.#r)}set contentNode(e){M(this.#r,e,!0)}contentPresence;#n=_e(null);get viewportNode(){return f(this.#n)}set viewportNode(e){M(this.#n,e,!0)}#i=_e(null);get triggerNode(){return f(this.#i)}set triggerNode(e){M(this.#i,e,!0)}#a=_e("");get valueId(){return f(this.#a)}set valueId(e){M(this.#a,e,!0)}#s=_e(null);get highlightedNode(){return f(this.#s)}set highlightedNode(e){M(this.#s,e,!0)}#o=F(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-value"):null);get highlightedValue(){return f(this.#o)}set highlightedValue(e){M(this.#o,e)}#l=F(()=>{if(this.highlightedNode)return this.highlightedNode.id});get highlightedId(){return f(this.#l)}set highlightedId(e){M(this.#l,e)}#c=F(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-label"):null);get highlightedLabel(){return f(this.#c)}set highlightedLabel(e){M(this.#c,e)}isUsingKeyboard=!1;isCombobox=!1;domContext=new Zc(()=>null);constructor(e){this.opts=e,this.isCombobox=e.isCombobox,this.contentPresence=new Iu({ref:Pe(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),Gi(()=>{this.opts.open.current||this.setHighlightedNode(null)})}setHighlightedNode(e,t=!1){this.highlightedNode=e,e&&(this.isUsingKeyboard||t)&&e.scrollIntoView({block:this.opts.scrollAlignment.current})}getCandidateNodes(){const e=this.contentNode;return e?Array.from(e.querySelectorAll(`[${this.getBitsAttr("item")}]:not([data-disabled])`)):[]}setHighlightedToFirstCandidate(e=!1){this.setHighlightedNode(null);let t=this.getCandidateNodes();if(t.length){if(this.viewportNode){const n=this.viewportNode.getBoundingClientRect();t=t.filter(a=>{if(!this.viewportNode)return!1;const i=a.getBoundingClientRect();return i.right<n.right&&i.left>n.left&&i.bottom<n.bottom&&i.top>n.top})}this.setHighlightedNode(t[0],e)}}getNodeByValue(e){return this.getCandidateNodes().find(n=>n.dataset.value===e)??null}setOpen(e){this.opts.open.current=e}toggleOpen(){this.opts.open.current=!this.opts.open.current}handleOpen(){this.setOpen(!0)}handleClose(){this.setHighlightedNode(null),this.setOpen(!1)}toggleMenu(){this.toggleOpen()}getBitsAttr=e=>see.getAttr(e,this.isCombobox?"combobox":void 0)}class oee extends _U{opts;isMulti=!1;#e=F(()=>this.opts.value.current!=="");get hasValue(){return f(this.#e)}set hasValue(e){M(this.#e,e)}#t=F(()=>this.opts.items.current.length?this.opts.items.current.find(e=>e.value===this.opts.value.current)?.label??"":"");get currentLabel(){return f(this.#t)}set currentLabel(e){M(this.#t,e)}#r=F(()=>this.opts.items.current.length?this.opts.items.current.filter(t=>!t.disabled).map(t=>t.label):[]);get candidateLabels(){return f(this.#r)}set candidateLabels(e){M(this.#r,e)}#n=F(()=>!(this.isMulti||this.opts.items.current.length===0));get dataTypeaheadEnabled(){return f(this.#n)}set dataTypeaheadEnabled(e){M(this.#n,e)}constructor(e){super(e),this.opts=e,Nt(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),nn(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(e){return this.opts.value.current===e}toggleItem(e,t=e){const n=this.includesItem(e)?"":e;this.opts.value.current=n,n!==""&&(this.opts.inputValue.current=t)}setInitialHighlightedNode(){eo(()=>{if(!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current!==""){const e=this.getNodeByValue(this.opts.value.current);if(e){this.setHighlightedNode(e,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class lee extends _U{opts;isMulti=!0;#e=F(()=>this.opts.value.current.length>0);get hasValue(){return f(this.#e)}set hasValue(e){M(this.#e,e)}constructor(e){super(e),this.opts=e,Nt(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),nn(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(e){return this.opts.value.current.includes(e)}toggleItem(e,t=e){this.includesItem(e)?this.opts.value.current=this.opts.value.current.filter(n=>n!==e):this.opts.value.current=[...this.opts.value.current,e],this.opts.inputValue.current=t}setInitialHighlightedNode(){eo(()=>{if(this.domContext&&!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current.length&&this.opts.value.current[0]!==""){const e=this.getNodeByValue(this.opts.value.current[0]);if(e){this.setHighlightedNode(e,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class cee{static create(e){const{type:t,...n}=e,a=t==="single"?new oee(n):new lee(n);return ig.set(a)}}class x9{static create(e){return new x9(e,ig.get())}opts;root;attachment;#e;#t;constructor(e,t){this.opts=e,this.root=t,this.attachment=yn(e.ref,n=>this.root.triggerNode=n),this.root.domContext=new Zc(e.ref),this.#e=new tU({getCurrentItem:()=>this.root.highlightedNode,onMatch:n=>{this.root.setHighlightedNode(n)},getActiveElement:()=>this.root.domContext.getActiveElement(),getWindow:()=>this.root.domContext.getWindow()}),this.#t=new ree({getCurrentItem:()=>this.root.isMulti?"":this.root.currentLabel,onMatch:n=>{if(this.root.isMulti||!this.root.opts.items.current)return;const a=this.root.opts.items.current.find(i=>i.label===n);a&&(this.root.opts.value.current=a.value)},enabled:()=>!this.root.isMulti&&this.root.dataTypeaheadEnabled,candidateValues:()=>this.root.isMulti?[]:this.root.candidateLabels,getWindow:()=>this.root.domContext.getWindow()}),this.onkeydown=this.onkeydown.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onclick=this.onclick.bind(this)}#r(){this.root.opts.open.current=!0,this.#t.resetTypeahead(),this.#e.resetTypeahead()}#n(e){this.#r()}#i(){const e=this.root.highlightedValue===this.root.opts.value.current;return!this.root.opts.allowDeselect.current&&e&&!this.root.isMulti?(this.root.handleClose(),!0):(this.root.highlightedValue!==null&&this.root.toggleItem(this.root.highlightedValue,this.root.highlightedLabel??void 0),!this.root.isMulti&&!e?(this.root.handleClose(),!0):!1)}onkeydown(e){if(this.root.isUsingKeyboard=!0,(e.key===xl||e.key===Rl)&&e.preventDefault(),!this.root.opts.open.current){if(e.key===$l||e.key===no||e.key===Rl||e.key===xl)e.preventDefault(),this.root.handleOpen();else if(!this.root.isMulti&&this.root.dataTypeaheadEnabled){this.#t.handleTypeaheadSearch(e.key);return}if(this.root.hasValue)return;const s=this.root.getCandidateNodes();if(!s.length)return;if(e.key===Rl){const o=s[0];this.root.setHighlightedNode(o)}else if(e.key===xl){const o=s[s.length-1];this.root.setHighlightedNode(o)}return}if(e.key===QC){this.root.handleClose();return}if((e.key===$l||e.key===no&&this.#e.search==="")&&!e.isComposing&&(e.preventDefault(),this.#i()))return;if(e.key===xl&&e.altKey&&this.root.handleClose(),iee.includes(e.key)){e.preventDefault();const s=this.root.getCandidateNodes(),o=this.root.highlightedNode,l=o?s.indexOf(o):-1,c=this.root.opts.loop.current;let u;if(e.key===Rl?u=sZ(s,l,c):e.key===xl?u=oZ(s,l,c):e.key===D5?u=lZ(s,l,10,c):e.key===P5?u=cZ(s,l,10,c):e.key===yv?u=s[0]:e.key===vv&&(u=s[s.length-1]),!u)return;this.root.setHighlightedNode(u);return}const t=e.ctrlKey||e.altKey||e.metaKey,n=e.key.length===1,a=e.key===no,i=this.root.getCandidateNodes();if(e.key!==QC){if(!t&&(n||a)){!this.#e.handleTypeaheadSearch(e.key,i)&&a&&(e.preventDefault(),this.#i());return}this.root.highlightedNode||this.root.setHighlightedToFirstCandidate()}}onclick(e){e.currentTarget.focus()}onpointerdown(e){if(this.root.opts.disabled.current)return;if(e.pointerType==="touch")return e.preventDefault();const t=e.target;t?.hasPointerCapture(e.pointerId)&&t?.releasePointerCapture(e.pointerId),e.button===0&&e.ctrlKey===!1&&(this.root.opts.open.current===!1?this.#n(e):this.root.handleClose())}onpointerup(e){this.root.opts.disabled.current||(e.preventDefault(),e.pointerType==="touch"&&(this.root.opts.open.current===!1?this.#n(e):this.root.handleClose()))}#a=F(()=>({id:this.opts.id.current,disabled:this.root.opts.disabled.current?!0:void 0,"aria-haspopup":"listbox","aria-expanded":Dc(this.root.opts.open.current),"aria-activedescendant":this.root.highlightedId,"data-state":sl(this.root.opts.open.current),"data-disabled":Di(this.root.opts.disabled.current),"data-placeholder":this.root.hasValue?void 0:"",[this.root.getBitsAttr("trigger")]:"",onpointerdown:this.onpointerdown,onkeydown:this.onkeydown,onclick:this.onclick,onpointerup:this.onpointerup,...this.attachment}));get props(){return f(this.#a)}set props(e){M(this.#a,e)}}class R9{static create(e){return Nv.set(new R9(e,ig.get()))}opts;root;attachment;#e=_e(!1);get isPositioned(){return f(this.#e)}set isPositioned(e){M(this.#e,e,!0)}domContext;constructor(e,t){this.opts=e,this.root=t,this.attachment=yn(e.ref,n=>this.root.contentNode=n),this.domContext=new Zc(this.opts.ref),this.root.domContext===null&&(this.root.domContext=this.domContext),Qc(()=>{this.root.contentNode=null,this.isPositioned=!1}),nn(()=>this.root.opts.open.current,()=>{this.root.opts.open.current||(this.isPositioned=!1)}),this.onpointermove=this.onpointermove.bind(this)}onpointermove(e){this.root.isUsingKeyboard=!1}#t=F(()=>Bc(this.root.isCombobox?"combobox":"select"));onInteractOutside=e=>{if(e.target===this.root.triggerNode||e.target===this.root.inputNode){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#r=F(()=>({open:this.root.opts.open.current}));get snippetProps(){return f(this.#r)}set snippetProps(e){M(this.#r,e)}#n=F(()=>({id:this.opts.id.current,role:"listbox","aria-multiselectable":this.root.isMulti?"true":void 0,"data-state":sl(this.root.opts.open.current),[this.root.getBitsAttr("content")]:"",style:{display:"flex",flexDirection:"column",outline:"none",boxSizing:"border-box",pointerEvents:"auto",...f(this.#t)},onpointermove:this.onpointermove,...this.attachment}));get props(){return f(this.#n)}set props(e){M(this.#n,e)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus,trapFocus:!1,loop:!1,onPlaced:()=>{this.root.opts.open.current&&(this.isPositioned=!0)}}}class O9{static create(e){return new O9(e,ig.get())}opts;root;attachment;#e=F(()=>this.root.includesItem(this.opts.value.current));get isSelected(){return f(this.#e)}set isSelected(e){M(this.#e,e)}#t=F(()=>this.root.highlightedValue===this.opts.value.current);get isHighlighted(){return f(this.#t)}set isHighlighted(e){M(this.#t,e)}prevHighlighted=new PB(()=>this.isHighlighted);#r=_e(!1);get mounted(){return f(this.#r)}set mounted(e){M(this.#r,e,!0)}constructor(e,t){this.opts=e,this.root=t,this.attachment=yn(e.ref),nn([()=>this.isHighlighted,()=>this.prevHighlighted.current],()=>{this.isHighlighted?this.opts.onHighlight.current():this.prevHighlighted.current&&this.opts.onUnhighlight.current()}),nn(()=>this.mounted,()=>{this.mounted&&this.root.setInitialHighlightedNode()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onpointermove=this.onpointermove.bind(this)}handleSelect(){if(this.opts.disabled.current)return;const e=this.opts.value.current===this.root.opts.value.current;if(!this.root.opts.allowDeselect.current&&e&&!this.root.isMulti){this.root.handleClose();return}this.root.toggleItem(this.opts.value.current,this.opts.label.current),!this.root.isMulti&&!e&&this.root.handleClose()}#n=F(()=>({selected:this.isSelected,highlighted:this.isHighlighted}));get snippetProps(){return f(this.#n)}set snippetProps(e){M(this.#n,e)}onpointerdown(e){e.preventDefault()}onpointerup(e){if(!(e.defaultPrevented||!this.opts.ref.current)){if(e.pointerType==="touch"&&!ZC){jr(this.opts.ref.current,"click",()=>{this.handleSelect(),this.root.setHighlightedNode(this.opts.ref.current)},{once:!0});return}e.preventDefault(),this.handleSelect(),e.pointerType==="touch"&&this.root.setHighlightedNode(this.opts.ref.current)}}onpointermove(e){e.pointerType!=="touch"&&this.root.highlightedNode!==this.opts.ref.current&&this.root.setHighlightedNode(this.opts.ref.current)}#i=F(()=>({id:this.opts.id.current,role:"option","aria-selected":this.root.includesItem(this.opts.value.current)?"true":void 0,"data-value":this.opts.value.current,"data-disabled":Di(this.opts.disabled.current),"data-highlighted":this.root.highlightedValue===this.opts.value.current&&!this.opts.disabled.current?"":void 0,"data-selected":this.root.includesItem(this.opts.value.current)?"":void 0,"data-label":this.opts.label.current,[this.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,...this.attachment}));get props(){return f(this.#i)}set props(e){M(this.#i,e)}}class N9{static create(e){return new N9(e,ig.get())}opts;root;#e=F(()=>this.root.opts.name.current!=="");get shouldRender(){return f(this.#e)}set shouldRender(e){M(this.#e,e)}constructor(e,t){this.opts=e,this.root=t,this.onfocus=this.onfocus.bind(this)}onfocus(e){e.preventDefault(),this.root.isCombobox?this.root.inputNode?.focus():this.root.triggerNode?.focus()}#t=F(()=>({disabled:XC(this.root.opts.disabled.current),required:XC(this.root.opts.required.current),name:this.root.opts.name.current,value:this.opts.value.current,onfocus:this.onfocus}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}class I9{static create(e){return new I9(e,Nv.get())}opts;content;root;attachment;#e=_e(0);get prevScrollTop(){return f(this.#e)}set 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mounted(e){M(this.#e,e,!0)}constructor(e,t){this.opts=e,this.content=t,this.root=t.root,this.attachment=yn(e.ref),nn([()=>this.mounted],()=>{if(!this.mounted){this.isUserScrolling=!1;return}this.isUserScrolling}),Nt(()=>{this.mounted||this.clearAutoScrollInterval()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}handleUserScroll(){this.content.domContext.clearTimeout(this.userScrollTimer),this.isUserScrolling=!0,this.userScrollTimer=this.content.domContext.setTimeout(()=>{this.isUserScrolling=!1},200)}clearAutoScrollInterval(){this.autoScrollTimer!==null&&(this.content.domContext.clearTimeout(this.autoScrollTimer),this.autoScrollTimer=null)}onpointerdown(e){if(this.autoScrollTimer!==null)return;const t=n=>{this.onAutoScroll(),this.autoScrollTimer=this.content.domContext.setTimeout(()=>t(n+1),this.opts.delay.current(n))};this.autoScrollTimer=this.content.domContext.setTimeout(()=>t(1),this.opts.delay.current(0))}onpointermove(e){this.onpointerdown(e)}onpointerleave(e){this.clearAutoScrollInterval()}#t=F(()=>({id:this.opts.id.current,"aria-hidden":oQ(!0),style:{flexShrink:0},onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}class k9{static create(e){return new k9(new bU(e,Nv.get()))}scrollButtonState;content;root;#e=_e(!1);get canScrollDown(){return f(this.#e)}set canScrollDown(e){M(this.#e,e,!0)}scrollIntoViewTimer=null;constructor(e){this.scrollButtonState=e,this.content=e.content,this.root=e.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,nn([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),jr(this.root.viewportNode,"scroll",()=>this.handleScroll())}),nn([()=>this.root.opts.inputValue.current,()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{!this.root.viewportNode||!this.content.isPositioned||this.handleScroll(!0)}),nn(()=>this.scrollButtonState.mounted,()=>{this.scrollButtonState.mounted&&(this.scrollIntoViewTimer&&clearTimeout(this.scrollIntoViewTimer),this.scrollIntoViewTimer=M5(5,()=>{this.root.highlightedNode?.scrollIntoView({block:this.root.opts.scrollAlignment.current})}))})}handleScroll=(e=!1)=>{if(e||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const t=this.root.viewportNode.scrollHeight-this.root.viewportNode.clientHeight,n=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollDown=Math.ceil(this.root.viewportNode.scrollTop)<t-n};handleAutoScroll=()=>{const e=this.root.viewportNode,t=this.root.highlightedNode;!e||!t||(e.scrollTop=e.scrollTop+t.offsetHeight)};#t=F(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-down-button")]:""}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}class M9{static create(e){return new M9(new bU(e,Nv.get()))}scrollButtonState;content;root;#e=_e(!1);get canScrollUp(){return f(this.#e)}set canScrollUp(e){M(this.#e,e,!0)}constructor(e){this.scrollButtonState=e,this.content=e.content,this.root=e.root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,nn([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),jr(this.root.viewportNode,"scroll",()=>this.handleScroll())})}handleScroll=(e=!1)=>{if(e||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const t=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollUp=this.root.viewportNode.scrollTop-t>.1};handleAutoScroll=()=>{!this.root.viewportNode||!this.root.highlightedNode||(this.root.viewportNode.scrollTop=this.root.viewportNode.scrollTop-this.root.highlightedNode.offsetHeight)};#t=F(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-up-button")]:""}));get props(){return f(this.#t)}set props(e){M(this.#t,e)}}function _S(r,e){Ee(e,!0);let t=Y(e,"value",15);const n=N9.create({value:Pe(()=>t())});var a=se(),i=L(a);{var s=o=>{u9(o,ot(()=>n.props,{get autocomplete(){return e.autocomplete},get value(){return t()},set value(l){t(l)}}))};le(i,o=>{n.shouldRender&&o(s)})}T(r,a),we()}function sg(r,e){Ee(e,!0);let 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0)`;this.thumbNode.style.transform=n,this.prevTransformStyle=n}xOnWheelScroll(e){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=e)}xOnDragScroll(e){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=this.getScrollPosition(e,this.root.opts.dir.current))}yOnThumbPositionChange(){if(!(this.root.viewportNode&&this.thumbNode))return;const e=this.root.viewportNode.scrollTop,n=`translate3d(0, ${WR({scrollPos:e,sizes:this.sizes})}px, 0)`;this.thumbNode.style.transform=n,this.prevTransformStyle=n}yOnWheelScroll(e){this.root.viewportNode&&(this.root.viewportNode.scrollTop=e)}yOnDragScroll(e){this.root.viewportNode&&(this.root.viewportNode.scrollTop=this.getScrollPosition(e,this.root.opts.dir.current))}}class X9{static create(e){return q9.set(new X9(e,kv.get()))}opts;scrollbarVis;root;scrollbar;attachment;#e=_e();get computedStyle(){return f(this.#e)}set computedStyle(e){M(this.#e,e,!0)}constructor(e,t){this.opts=e,this.scrollbarVis=t,this.root=t.root,this.scrollbar=t.scrollbar,this.attachment=yn(this.scrollbar.opts.ref,n=>this.root.scrollbarXNode=n),Nt(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=getComputedStyle(this.scrollbar.opts.ref.current))}),Nt(()=>{this.onResize()})}onThumbPointerDown=e=>{this.scrollbarVis.onThumbPointerDown(e.x)};onDragScroll=e=>{this.scrollbarVis.xOnDragScroll(e.x)};onThumbPointerUp=()=>{this.scrollbarVis.onThumbPointerUp()};onThumbPositionChange=()=>{this.scrollbarVis.xOnThumbPositionChange()};onWheelScroll=(e,t)=>{if(!this.root.viewportNode)return;const 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computedStyle(e){M(this.#e,e,!0)}constructor(e,t){this.opts=e,this.scrollbarVis=t,this.root=t.root,this.scrollbar=t.scrollbar,this.attachment=yn(this.scrollbar.opts.ref,n=>this.root.scrollbarYNode=n),Nt(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=getComputedStyle(this.scrollbar.opts.ref.current))}),Nt(()=>{this.onResize()}),this.onThumbPointerDown=this.onThumbPointerDown.bind(this),this.onDragScroll=this.onDragScroll.bind(this),this.onThumbPointerUp=this.onThumbPointerUp.bind(this),this.onThumbPositionChange=this.onThumbPositionChange.bind(this),this.onWheelScroll=this.onWheelScroll.bind(this),this.onResize=this.onResize.bind(this)}onThumbPointerDown(e){this.scrollbarVis.onThumbPointerDown(e.y)}onDragScroll(e){this.scrollbarVis.yOnDragScroll(e.y)}onThumbPointerUp(){this.scrollbarVis.onThumbPointerUp()}onThumbPositionChange(){this.scrollbarVis.yOnThumbPositionChange()}onWheelScroll(e,t){if(!this.root.viewportNode)return;const 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+NAMESPACE_HTML="http://www.w3.org/1999/xhtml",NAMESPACE_SVG="http://www.w3.org/2000/svg",NAMESPACE_MATHML="http://www.w3.org/1998/Math/MathML",ATTACHMENT_KEY="@attach";function hydration_mismatch(location2){console.warn("https://svelte.dev/e/hydration_mismatch")}function select_multiple_invalid_value(){console.warn("https://svelte.dev/e/select_multiple_invalid_value")}function svelte_boundary_reset_noop(){console.warn("https://svelte.dev/e/svelte_boundary_reset_noop")}let hydrating=!1;function set_hydrating(value){
+hydrating=value}let hydrate_node;function set_hydrate_node(node2){if(node2===null)throw hydration_mismatch(),HYDRATION_ERROR;return hydrate_node=node2}function hydrate_next(){return set_hydrate_node(get_next_sibling(hydrate_node))}function reset(node2){if(hydrating){if(get_next_sibling(hydrate_node)!==null)throw hydration_mismatch(),HYDRATION_ERROR;hydrate_node=node2}}function next$1(count=1){if(hydrating){for(var i=count,node2=hydrate_node;i--;)node2=get_next_sibling(node2);hydrate_node=node2}}
+function skip_nodes(remove2=!0){for(var depth=0,node2=hydrate_node;;){if(node2.nodeType===COMMENT_NODE){var data=node2.data;if(data===HYDRATION_END){if(depth===0)return node2;depth-=1}else(data===HYDRATION_START||data===HYDRATION_START_ELSE||data[0]==="["&&!isNaN(Number(data.slice(1))))&&(depth+=1)}var next2=get_next_sibling(node2);remove2&&node2.remove(),node2=next2}}function read_hydration_instruction(node2){if(!node2||node2.nodeType!==COMMENT_NODE)throw hydration_mismatch(),HYDRATION_ERROR;return node2.
+data}function equals(value){return value===this.v}function safe_not_equal(a,b){return a!=a?b==b:a!==b||a!==null&&typeof a=="object"||typeof a=="function"}function safe_equals(value){return!safe_not_equal(value,this.v)}let legacy_mode_flag=!1;function enable_legacy_mode_flag(){legacy_mode_flag=!0}const empty$2=[];function snapshot(value,skip_warning=!1,no_tojson=!1){return clone$1(value,new Map,"",empty$2,null,no_tojson)}function clone$1(value,cloned,path2,paths,original=null,no_tojson=!1){if(typeof value=="object"&&value!==null){var unwrapped=cloned.get(value);if(unwrapped!==void 0)return unwrapped;if(value instanceof Map)return new Map(value);if(value instanceof Set)return new Set(value);if(is_array(value)){var copy=Array(value.length);
+cloned.set(value,copy),original!==null&&cloned.set(original,copy);for(var i=0;i<value.length;i+=1){var element2=value[i];i in value&&(copy[i]=clone$1(element2,cloned,path2,paths,null,no_tojson))}return copy}if(get_prototype_of(value)===object_prototype){copy={},cloned.set(value,copy),original!==null&&cloned.set(original,copy);for(var key2 of Object.keys(value))copy[key2]=clone$1(value[key2],cloned,path2,paths,null,no_tojson);return copy}if(value instanceof Date)return structuredClone(value);if(typeof value.
+toJSON=="function"&&!no_tojson)return clone$1(value.toJSON(),cloned,path2,paths,value)}if(value instanceof EventTarget)return value;try{return structuredClone(value)}catch{return value}}let component_context=null;function set_component_context(context){component_context=context}function getContext(key2){return get_or_init_context_map().get(key2)}function setContext(key2,context){return get_or_init_context_map().set(key2,context),context}function hasContext(key2){return get_or_init_context_map().
+has(key2)}function getAllContexts(){return get_or_init_context_map()}function push$1(props,runes=!1,fn){component_context={p:component_context,i:!1,c:null,e:null,s:props,x:null,r:active_effect,l:legacy_mode_flag&&!runes?{s:null,u:null,$:[]}:null}}function pop(component2){var context=component_context,effects=context.e;if(effects!==null){context.e=null;for(var fn of effects)create_user_effect(fn)}return component2!==void 0&&(context.x=component2),context.i=!0,component_context=context.p,component2??
+{}}function is_runes(){return!legacy_mode_flag||component_context!==null&&component_context.l===null}function get_or_init_context_map(name){return component_context===null&&lifecycle_outside_component(),component_context.c??=new Map(get_parent_context(component_context)||void 0)}function get_parent_context(component_context2){let parent=component_context2.p;for(;parent!==null;){const context_map=parent.c;if(context_map!==null)return context_map;parent=parent.p}return null}let micro_tasks=[];function run_micro_tasks(){
+var tasks=micro_tasks;micro_tasks=[],run_all(tasks)}function queue_micro_task(fn){if(micro_tasks.length===0&&!is_flushing_sync){var tasks=micro_tasks;queueMicrotask(()=>{tasks===micro_tasks&&run_micro_tasks()})}micro_tasks.push(fn)}function flush_tasks(){for(;micro_tasks.length>0;)run_micro_tasks()}function handle_error$1(error2){var effect2=active_effect;if(effect2===null)return active_reaction.f|=ERROR_VALUE,error2;if((effect2.f&REACTION_RAN)===0&&(effect2.f&EFFECT)===0)throw error2;invoke_error_boundary(
+error2,effect2)}function invoke_error_boundary(error2,effect2){for(;effect2!==null;){if((effect2.f&BOUNDARY_EFFECT)!==0){if((effect2.f&REACTION_RAN)===0)throw error2;try{effect2.b.error(error2);return}catch(e){error2=e}}effect2=effect2.parent}throw error2}const STATUS_MASK=-7169;function set_signal_status(signal,status){signal.f=signal.f&STATUS_MASK|status}function update_derived_status(derived2){(derived2.f&CONNECTED)!==0||derived2.deps===null?set_signal_status(derived2,CLEAN):set_signal_status(
+derived2,MAYBE_DIRTY)}function clear_marked(deps){if(deps!==null)for(const dep of deps)(dep.f&DERIVED)===0||(dep.f&WAS_MARKED)===0||(dep.f^=WAS_MARKED,clear_marked(dep.deps))}function defer_effect(effect2,dirty_effects,maybe_dirty_effects){(effect2.f&DIRTY)!==0?dirty_effects.add(effect2):(effect2.f&MAYBE_DIRTY)!==0&&maybe_dirty_effects.add(effect2),clear_marked(effect2.deps),set_signal_status(effect2,CLEAN)}function subscribe_to_store(store,run2,invalidate){if(store==null)return run2(void 0),noop$3;
+const unsub=untrack$1(()=>store.subscribe(run2,invalidate));return unsub.unsubscribe?()=>unsub.unsubscribe():unsub}const subscriber_queue=[];function writable(value,start2=noop$3){let stop=null;const subscribers=new Set;function set2(new_value){if(safe_not_equal(value,new_value)&&(value=new_value,stop)){const run_queue=!subscriber_queue.length;for(const subscriber of subscribers)subscriber[1](),subscriber_queue.push(subscriber,value);if(run_queue){for(let i=0;i<subscriber_queue.length;i+=2)subscriber_queue[i][0](
+subscriber_queue[i+1]);subscriber_queue.length=0}}}function update2(fn){set2(fn(value))}function subscribe(run2,invalidate=noop$3){const subscriber=[run2,invalidate];return subscribers.add(subscriber),subscribers.size===1&&(stop=start2(set2,update2)||noop$3),run2(value),()=>{subscribers.delete(subscriber),subscribers.size===0&&stop&&(stop(),stop=null)}}return{set:set2,update:update2,subscribe}}function get$4(store){let value;return subscribe_to_store(store,_=>value=_)(),value}let is_store_binding=!1,
+IS_UNMOUNTED=Symbol();function store_get(store,store_name,stores2){const entry=stores2[store_name]??={store:null,source:mutable_source(void 0),unsubscribe:noop$3};if(entry.store!==store&&!(IS_UNMOUNTED in stores2))if(entry.unsubscribe(),entry.store=store??null,store==null)entry.source.v=void 0,entry.unsubscribe=noop$3;else{var is_synchronous_callback=!0;entry.unsubscribe=subscribe_to_store(store,v=>{is_synchronous_callback?entry.source.v=v:set$1(entry.source,v)}),is_synchronous_callback=!1}return store&&
+IS_UNMOUNTED in stores2?get$4(store):get$3(entry.source)}function setup_stores(){const stores2={};function cleanup(){teardown(()=>{for(var store_name in stores2)stores2[store_name].unsubscribe();define_property(stores2,IS_UNMOUNTED,{enumerable:!1,value:!0})})}return[stores2,cleanup]}function capture_store_binding(fn){var previous_is_store_binding=is_store_binding;try{return is_store_binding=!1,[fn(),is_store_binding]}finally{is_store_binding=previous_is_store_binding}}const batches=new Set;let current_batch=null,
+batch_values=null,last_scheduled_effect=null,is_flushing_sync=!1,is_processing=!1,collected_effects=null,legacy_updates=null;var flush_count=0;let uid=1;class Batch{id=uid++;current=new Map;previous=new Map;#commit_callbacks=new Set;#discard_callbacks=new Set;#pending=new Map;#blocking_pending=new Map;#deferred=null;#roots=[];#new_effects=[];#dirty_effects=new Set;#maybe_dirty_effects=new Set;#skipped_branches=new Map;is_fork=!1;#decrement_queued=!1;#blockers=new Set;#is_deferred(){return this.is_fork||
+this.#blocking_pending.size>0}#is_blocked(){for(const batch of this.#blockers)for(const effect2 of batch.#blocking_pending.keys()){for(var skipped=!1,e=effect2;e.parent!==null;){if(this.#skipped_branches.has(e)){skipped=!0;break}e=e.parent}if(!skipped)return!0}return!1}skip_effect(effect2){this.#skipped_branches.has(effect2)||this.#skipped_branches.set(effect2,{d:[],m:[]})}unskip_effect(effect2){var tracked=this.#skipped_branches.get(effect2);if(tracked){this.#skipped_branches.delete(effect2);for(var e of tracked.
+d)set_signal_status(e,DIRTY),this.schedule(e);for(e of tracked.m)set_signal_status(e,MAYBE_DIRTY),this.schedule(e)}}#process(){if(flush_count++>1e3&&(batches.delete(this),infinite_loop_guard()),!this.#is_deferred()){for(const e of this.#dirty_effects)this.#maybe_dirty_effects.delete(e),set_signal_status(e,DIRTY),this.schedule(e);for(const e of this.#maybe_dirty_effects)set_signal_status(e,MAYBE_DIRTY),this.schedule(e)}const roots=this.#roots;this.#roots=[],this.apply();var effects=collected_effects=
+[],render_effects=[],updates=legacy_updates=[];for(const root2 of roots)try{this.#traverse(root2,effects,render_effects)}catch(e){throw reset_all(root2),e}if(current_batch=null,updates.length>0){var batch=Batch.ensure();for(const e of updates)batch.schedule(e)}if(collected_effects=null,legacy_updates=null,this.#is_deferred()||this.#is_blocked()){this.#defer_effects(render_effects),this.#defer_effects(effects);for(const[e,t]of this.#skipped_branches)reset_branch(e,t)}else{this.#pending.size===0&&
+batches.delete(this),this.#dirty_effects.clear(),this.#maybe_dirty_effects.clear();for(const fn of this.#commit_callbacks)fn(this);this.#commit_callbacks.clear(),flush_queued_effects(render_effects),flush_queued_effects(effects),this.#deferred?.resolve()}var next_batch=current_batch;if(this.#roots.length>0){const batch2=next_batch??=this;batch2.#roots.push(...this.#roots.filter(r2=>!batch2.#roots.includes(r2)))}next_batch!==null&&(batches.add(next_batch),next_batch.#process()),batches.has(this)||
+this.#commit()}#traverse(root2,effects,render_effects){root2.f^=CLEAN;for(var effect2=root2.first;effect2!==null;){var flags2=effect2.f,is_branch=(flags2&(BRANCH_EFFECT|ROOT_EFFECT))!==0,is_skippable_branch=is_branch&&(flags2&CLEAN)!==0,skip=is_skippable_branch||(flags2&INERT)!==0||this.#skipped_branches.has(effect2);if(!skip&&effect2.fn!==null){is_branch?effect2.f^=CLEAN:(flags2&EFFECT)!==0?effects.push(effect2):is_dirty(effect2)&&((flags2&BLOCK_EFFECT)!==0&&this.#maybe_dirty_effects.add(effect2),
+update_effect(effect2));var child2=effect2.first;if(child2!==null){effect2=child2;continue}}for(;effect2!==null;){var next2=effect2.next;if(next2!==null){effect2=next2;break}effect2=effect2.parent}}}#defer_effects(effects){for(var i=0;i<effects.length;i+=1)defer_effect(effects[i],this.#dirty_effects,this.#maybe_dirty_effects)}capture(source2,old_value,is_derived=!1){old_value!==UNINITIALIZED&&!this.previous.has(source2)&&this.previous.set(source2,old_value),(source2.f&ERROR_VALUE)===0&&(this.current.
+set(source2,[source2.v,is_derived]),batch_values?.set(source2,source2.v))}activate(){current_batch=this}deactivate(){current_batch=null,batch_values=null}flush(){try{is_processing=!0,current_batch=this,this.#process()}finally{flush_count=0,last_scheduled_effect=null,collected_effects=null,legacy_updates=null,is_processing=!1,current_batch=null,batch_values=null,old_values.clear()}}discard(){for(const fn of this.#discard_callbacks)fn(this);this.#discard_callbacks.clear(),batches.delete(this)}register_created_effect(effect2){
+this.#new_effects.push(effect2)}#commit(){for(const batch of batches){var is_earlier=batch.id<this.id,sources=[];for(const[source3,[value,is_derived]]of this.current){if(batch.current.has(source3)){var batch_value=batch.current.get(source3)[0];if(is_earlier&&value!==batch_value)batch.current.set(source3,[value,is_derived]);else continue}sources.push(source3)}var others=[...batch.current.keys()].filter(s2=>!this.current.has(s2));if(others.length===0)is_earlier&&batch.discard();else if(sources.length>
+0){batch.activate();var marked=new Set,checked=new Map;for(var source2 of sources)mark_effects(source2,others,marked,checked);checked=new Map;var current_unequal=[...batch.current.keys()].filter(c2=>this.current.has(c2)?this.current.get(c2)[0]!==c2:!0);for(const effect2 of this.#new_effects)(effect2.f&(DESTROYED|INERT|EAGER_EFFECT))===0&&depends_on(effect2,current_unequal,checked)&&((effect2.f&(ASYNC|BLOCK_EFFECT))!==0?(set_signal_status(effect2,DIRTY),batch.schedule(effect2)):batch.#dirty_effects.
+add(effect2));if(batch.#roots.length>0){batch.apply();for(var root2 of batch.#roots)batch.#traverse(root2,[],[]);batch.#roots=[]}batch.deactivate()}}for(const batch of batches)batch.#blockers.has(this)&&(batch.#blockers.delete(this),batch.#blockers.size===0&&!batch.#is_deferred()&&(batch.activate(),batch.#process()))}increment(blocking,effect2){let pending_count=this.#pending.get(effect2)??0;if(this.#pending.set(effect2,pending_count+1),blocking){let blocking_pending_count=this.#blocking_pending.
+get(effect2)??0;this.#blocking_pending.set(effect2,blocking_pending_count+1)}}decrement(blocking,effect2,skip){let pending_count=this.#pending.get(effect2)??0;if(pending_count===1?this.#pending.delete(effect2):this.#pending.set(effect2,pending_count-1),blocking){let blocking_pending_count=this.#blocking_pending.get(effect2)??0;blocking_pending_count===1?this.#blocking_pending.delete(effect2):this.#blocking_pending.set(effect2,blocking_pending_count-1)}this.#decrement_queued||skip||(this.#decrement_queued=
+!0,queue_micro_task(()=>{this.#decrement_queued=!1,this.flush()}))}transfer_effects(dirty_effects,maybe_dirty_effects){for(const e of dirty_effects)this.#dirty_effects.add(e);for(const e of maybe_dirty_effects)this.#maybe_dirty_effects.add(e);dirty_effects.clear(),maybe_dirty_effects.clear()}oncommit(fn){this.#commit_callbacks.add(fn)}ondiscard(fn){this.#discard_callbacks.add(fn)}settled(){return(this.#deferred??=deferred()).promise}static ensure(){if(current_batch===null){const batch=current_batch=
+new Batch;is_processing||(batches.add(current_batch),is_flushing_sync||queue_micro_task(()=>{current_batch===batch&&batch.flush()}))}return current_batch}apply(){{batch_values=null;return}}schedule(effect2){if(last_scheduled_effect=effect2,effect2.b?.is_pending&&(effect2.f&(EFFECT|RENDER_EFFECT|MANAGED_EFFECT))!==0&&(effect2.f&REACTION_RAN)===0){effect2.b.defer_effect(effect2);return}for(var e=effect2;e.parent!==null;){e=e.parent;var flags2=e.f;if(collected_effects!==null&&e===active_effect&&(active_reaction===
+null||(active_reaction.f&DERIVED)===0))return;if((flags2&(ROOT_EFFECT|BRANCH_EFFECT))!==0){if((flags2&CLEAN)===0)return;e.f^=CLEAN}}this.#roots.push(e)}}function flushSync(fn){var was_flushing_sync=is_flushing_sync;is_flushing_sync=!0;try{for(var result;;){if(flush_tasks(),current_batch===null)return result;current_batch.flush()}}finally{is_flushing_sync=was_flushing_sync}}function infinite_loop_guard(){try{effect_update_depth_exceeded()}catch(error2){invoke_error_boundary(error2,last_scheduled_effect)}}
+let eager_block_effects=null;function flush_queued_effects(effects){var length=effects.length;if(length!==0){for(var i=0;i<length;){var effect2=effects[i++];if((effect2.f&(DESTROYED|INERT))===0&&is_dirty(effect2)&&(eager_block_effects=new Set,update_effect(effect2),effect2.deps===null&&effect2.first===null&&effect2.nodes===null&&effect2.teardown===null&&effect2.ac===null&&unlink_effect(effect2),eager_block_effects?.size>0)){old_values.clear();for(const e of eager_block_effects){if((e.f&(DESTROYED|
+INERT))!==0)continue;const ordered_effects=[e];let ancestor=e.parent;for(;ancestor!==null;)eager_block_effects.has(ancestor)&&(eager_block_effects.delete(ancestor),ordered_effects.push(ancestor)),ancestor=ancestor.parent;for(let j=ordered_effects.length-1;j>=0;j--){const e2=ordered_effects[j];(e2.f&(DESTROYED|INERT))===0&&update_effect(e2)}}eager_block_effects.clear()}}eager_block_effects=null}}function mark_effects(value,sources,marked,checked){if(!marked.has(value)&&(marked.add(value),value.reactions!==
+null))for(const reaction of value.reactions){const flags2=reaction.f;(flags2&DERIVED)!==0?mark_effects(reaction,sources,marked,checked):(flags2&(ASYNC|BLOCK_EFFECT))!==0&&(flags2&DIRTY)===0&&depends_on(reaction,sources,checked)&&(set_signal_status(reaction,DIRTY),schedule_effect(reaction))}}function depends_on(reaction,sources,checked){const depends=checked.get(reaction);if(depends!==void 0)return depends;if(reaction.deps!==null)for(const dep of reaction.deps){if(includes.call(sources,dep))return!0;
+if((dep.f&DERIVED)!==0&&depends_on(dep,sources,checked))return checked.set(dep,!0),!0}return checked.set(reaction,!1),!1}function schedule_effect(effect2){current_batch.schedule(effect2)}function reset_branch(effect2,tracked){if(!((effect2.f&BRANCH_EFFECT)!==0&&(effect2.f&CLEAN)!==0)){(effect2.f&DIRTY)!==0?tracked.d.push(effect2):(effect2.f&MAYBE_DIRTY)!==0&&tracked.m.push(effect2),set_signal_status(effect2,CLEAN);for(var e=effect2.first;e!==null;)reset_branch(e,tracked),e=e.next}}function reset_all(effect2){
+set_signal_status(effect2,CLEAN);for(var e=effect2.first;e!==null;)reset_all(e),e=e.next}function createSubscriber(start2){let subscribers=0,version2=source$2(0),stop;return()=>{effect_tracking()&&(get$3(version2),render_effect(()=>(subscribers===0&&(stop=untrack$1(()=>start2(()=>increment$1(version2)))),subscribers+=1,()=>{queue_micro_task(()=>{subscribers-=1,subscribers===0&&(stop?.(),stop=void 0,increment$1(version2))})})))}}var flags=EFFECT_TRANSPARENT|EFFECT_PRESERVED;function boundary(node2,props,children,transform_error){
+new Boundary(node2,props,children,transform_error)}class Boundary{parent;is_pending=!1;transform_error;#anchor;#hydrate_open=hydrating?hydrate_node:null;#props;#children;#effect;#main_effect=null;#pending_effect=null;#failed_effect=null;#offscreen_fragment=null;#local_pending_count=0;#pending_count=0;#pending_count_update_queued=!1;#dirty_effects=new Set;#maybe_dirty_effects=new Set;#effect_pending=null;#effect_pending_subscriber=createSubscriber(()=>(this.#effect_pending=source$2(this.#local_pending_count),
+()=>{this.#effect_pending=null}));constructor(node2,props,children,transform_error){this.#anchor=node2,this.#props=props,this.#children=anchor=>{var effect2=active_effect;effect2.b=this,effect2.f|=BOUNDARY_EFFECT,children(anchor)},this.parent=active_effect.b,this.transform_error=transform_error??this.parent?.transform_error??(e=>e),this.#effect=block(()=>{if(hydrating){const comment2=this.#hydrate_open;hydrate_next();const server_rendered_pending=comment2.data===HYDRATION_START_ELSE;if(comment2.
+data.startsWith(HYDRATION_START_FAILED)){const serialized_error=JSON.parse(comment2.data.slice(HYDRATION_START_FAILED.length));this.#hydrate_failed_content(serialized_error)}else server_rendered_pending?this.#hydrate_pending_content():this.#hydrate_resolved_content()}else this.#render()},flags),hydrating&&(this.#anchor=hydrate_node)}#hydrate_resolved_content(){try{this.#main_effect=branch(()=>this.#children(this.#anchor))}catch(error2){this.error(error2)}}#hydrate_failed_content(error2){const failed=this.#props.
+failed;failed&&(this.#failed_effect=branch(()=>{failed(this.#anchor,()=>error2,()=>()=>{})}))}#hydrate_pending_content(){const pending=this.#props.pending;pending&&(this.is_pending=!0,this.#pending_effect=branch(()=>pending(this.#anchor)),queue_micro_task(()=>{var fragment=this.#offscreen_fragment=document.createDocumentFragment(),anchor=create_text();fragment.append(anchor),this.#main_effect=this.#run(()=>branch(()=>this.#children(anchor))),this.#pending_count===0&&(this.#anchor.before(fragment),
+this.#offscreen_fragment=null,pause_effect(this.#pending_effect,()=>{this.#pending_effect=null}),this.#resolve(current_batch))}))}#render(){try{if(this.is_pending=this.has_pending_snippet(),this.#pending_count=0,this.#local_pending_count=0,this.#main_effect=branch(()=>{this.#children(this.#anchor)}),this.#pending_count>0){var fragment=this.#offscreen_fragment=document.createDocumentFragment();move_effect(this.#main_effect,fragment);const pending=this.#props.pending;this.#pending_effect=branch(()=>pending(
+this.#anchor))}else this.#resolve(current_batch)}catch(error2){this.error(error2)}}#resolve(batch){this.is_pending=!1,batch.transfer_effects(this.#dirty_effects,this.#maybe_dirty_effects)}defer_effect(effect2){defer_effect(effect2,this.#dirty_effects,this.#maybe_dirty_effects)}is_rendered(){return!this.is_pending&&(!this.parent||this.parent.is_rendered())}has_pending_snippet(){return!!this.#props.pending}#run(fn){var previous_effect=active_effect,previous_reaction=active_reaction,previous_ctx=component_context;
+set_active_effect(this.#effect),set_active_reaction(this.#effect),set_component_context(this.#effect.ctx);try{return Batch.ensure(),fn()}catch(e){return handle_error$1(e),null}finally{set_active_effect(previous_effect),set_active_reaction(previous_reaction),set_component_context(previous_ctx)}}#update_pending_count(d2,batch){if(!this.has_pending_snippet()){this.parent&&this.parent.#update_pending_count(d2,batch);return}this.#pending_count+=d2,this.#pending_count===0&&(this.#resolve(batch),this.#pending_effect&&
+pause_effect(this.#pending_effect,()=>{this.#pending_effect=null}),this.#offscreen_fragment&&(this.#anchor.before(this.#offscreen_fragment),this.#offscreen_fragment=null))}update_pending_count(d2,batch){this.#update_pending_count(d2,batch),this.#local_pending_count+=d2,!(!this.#effect_pending||this.#pending_count_update_queued)&&(this.#pending_count_update_queued=!0,queue_micro_task(()=>{this.#pending_count_update_queued=!1,this.#effect_pending&&internal_set(this.#effect_pending,this.#local_pending_count)}))}get_effect_pending(){
+return this.#effect_pending_subscriber(),get$3(this.#effect_pending)}error(error2){var onerror=this.#props.onerror;let failed=this.#props.failed;if(!onerror&&!failed)throw error2;this.#main_effect&&(destroy_effect(this.#main_effect),this.#main_effect=null),this.#pending_effect&&(destroy_effect(this.#pending_effect),this.#pending_effect=null),this.#failed_effect&&(destroy_effect(this.#failed_effect),this.#failed_effect=null),hydrating&&(set_hydrate_node(this.#hydrate_open),next$1(),set_hydrate_node(
+skip_nodes()));var did_reset=!1,calling_on_error=!1;const reset2=()=>{if(did_reset){svelte_boundary_reset_noop();return}did_reset=!0,calling_on_error&&svelte_boundary_reset_onerror(),this.#failed_effect!==null&&pause_effect(this.#failed_effect,()=>{this.#failed_effect=null}),this.#run(()=>{this.#render()})},handle_error_result=transformed_error=>{try{calling_on_error=!0,onerror?.(transformed_error,reset2),calling_on_error=!1}catch(error3){invoke_error_boundary(error3,this.#effect&&this.#effect.parent)}
+failed&&(this.#failed_effect=this.#run(()=>{try{return branch(()=>{var effect2=active_effect;effect2.b=this,effect2.f|=BOUNDARY_EFFECT,failed(this.#anchor,()=>transformed_error,()=>reset2)})}catch(error3){return invoke_error_boundary(error3,this.#effect.parent),null}}))};queue_micro_task(()=>{var result;try{result=this.transform_error(error2)}catch(e){invoke_error_boundary(e,this.#effect&&this.#effect.parent);return}result!==null&&typeof result=="object"&&typeof result.then=="function"?result.then(
+handle_error_result,e=>invoke_error_boundary(e,this.#effect&&this.#effect.parent)):handle_error_result(result)})}}function flatten(blockers,sync,async,fn){const d2=is_runes()?derived:derived_safe_equal;var pending=blockers.filter(b=>!b.settled);if(async.length===0&&pending.length===0){fn(sync.map(d2));return}var parent=active_effect,restore=capture(),blocker_promise=pending.length===1?pending[0].promise:pending.length>1?Promise.all(pending.map(b=>b.promise)):null;function finish(values){restore();
+try{fn(values)}catch(error2){(parent.f&DESTROYED)===0&&invoke_error_boundary(error2,parent)}unset_context()}if(async.length===0){blocker_promise.then(()=>finish(sync.map(d2)));return}var decrement_pending=increment_pending();function run2(){Promise.all(async.map(expression=>async_derived(expression))).then(result=>finish([...sync.map(d2),...result])).catch(error2=>invoke_error_boundary(error2,parent)).finally(()=>decrement_pending())}blocker_promise?blocker_promise.then(()=>{restore(),run2(),unset_context()}):
+run2()}function capture(){var previous_effect=active_effect,previous_reaction=active_reaction,previous_component_context=component_context,previous_batch=current_batch;return function(activate_batch=!0){set_active_effect(previous_effect),set_active_reaction(previous_reaction),set_component_context(previous_component_context),activate_batch&&(previous_effect.f&DESTROYED)===0&&(previous_batch?.activate(),previous_batch?.apply())}}function unset_context(deactivate_batch=!0){set_active_effect(null),
+set_active_reaction(null),set_component_context(null),deactivate_batch&&current_batch?.deactivate()}function increment_pending(){var effect2=active_effect,boundary2=effect2.b,batch=current_batch,blocking=boundary2.is_rendered();return boundary2.update_pending_count(1,batch),batch.increment(blocking,effect2),(skip=!1)=>{boundary2.update_pending_count(-1,batch),batch.decrement(blocking,effect2,skip)}}function derived(fn){var flags2=DERIVED|DIRTY,parent_derived=active_reaction!==null&&(active_reaction.
+f&DERIVED)!==0?active_reaction:null;return active_effect!==null&&(active_effect.f|=EFFECT_PRESERVED),{ctx:component_context,deps:null,effects:null,equals,f:flags2,fn,reactions:null,rv:0,v:UNINITIALIZED,wv:0,parent:parent_derived??active_effect,ac:null}}function async_derived(fn,label,location2){let parent=active_effect;parent===null&&async_derived_orphan();var promise=void 0,signal=source$2(UNINITIALIZED),should_suspend=!active_reaction,deferreds=new Map;return async_effect(()=>{var effect2=active_effect,
+d2=deferred();promise=d2.promise;try{Promise.resolve(fn()).then(d2.resolve,d2.reject).finally(unset_context)}catch(error2){d2.reject(error2),unset_context()}var batch=current_batch;if(should_suspend){if((effect2.f&REACTION_RAN)!==0)var decrement_pending=increment_pending();if(parent.b.is_rendered())deferreds.get(batch)?.reject(STALE_REACTION),deferreds.delete(batch);else{for(const d3 of deferreds.values())d3.reject(STALE_REACTION);deferreds.clear()}deferreds.set(batch,d2)}const handler=(value,error2=void 0)=>{
+if(decrement_pending){var skip=error2===STALE_REACTION;decrement_pending(skip)}if(!(error2===STALE_REACTION||(effect2.f&DESTROYED)!==0)){if(batch.activate(),error2)signal.f|=ERROR_VALUE,internal_set(signal,error2);else{(signal.f&ERROR_VALUE)!==0&&(signal.f^=ERROR_VALUE),internal_set(signal,value);for(const[b,d3]of deferreds){if(deferreds.delete(b),b===batch)break;d3.reject(STALE_REACTION)}}batch.deactivate()}};d2.promise.then(handler,e=>handler(null,e||"unknown"))}),teardown(()=>{for(const d2 of deferreds.
+values())d2.reject(STALE_REACTION)}),new Promise(fulfil=>{function next2(p2){function go2(){p2===promise?fulfil(signal):next2(promise)}p2.then(go2,go2)}next2(promise)})}function user_derived(fn){const d2=derived(fn);return push_reaction_value(d2),d2}function derived_safe_equal(fn){const signal=derived(fn);return signal.equals=safe_equals,signal}function destroy_derived_effects(derived2){var effects=derived2.effects;if(effects!==null){derived2.effects=null;for(var i=0;i<effects.length;i+=1)destroy_effect(
+effects[i])}}function get_derived_parent_effect(derived2){for(var parent=derived2.parent;parent!==null;){if((parent.f&DERIVED)===0)return(parent.f&DESTROYED)===0?parent:null;parent=parent.parent}return null}function execute_derived(derived2){var value,prev_active_effect=active_effect;set_active_effect(get_derived_parent_effect(derived2));try{derived2.f&=~WAS_MARKED,destroy_derived_effects(derived2),value=update_reaction(derived2)}finally{set_active_effect(prev_active_effect)}return value}function update_derived(derived2){
+var old_value=derived2.v,value=execute_derived(derived2);if(!derived2.equals(value)&&(derived2.wv=increment_write_version(),(!current_batch?.is_fork||derived2.deps===null)&&(derived2.v=value,current_batch?.capture(derived2,old_value,!0),derived2.deps===null))){set_signal_status(derived2,CLEAN);return}is_destroying_effect||(batch_values!==null?(effect_tracking()||current_batch?.is_fork)&&batch_values.set(derived2,value):update_derived_status(derived2))}function freeze_derived_effects(derived2){if(derived2.
+effects!==null)for(const e of derived2.effects)(e.teardown||e.ac)&&(e.teardown?.(),e.ac?.abort(STALE_REACTION),e.teardown=noop$3,e.ac=null,remove_reactions(e,0),destroy_effect_children(e))}function unfreeze_derived_effects(derived2){if(derived2.effects!==null)for(const e of derived2.effects)e.teardown&&update_effect(e)}let eager_effects=new Set;const old_values=new Map;let eager_effects_deferred=!1;function source$2(v,stack){var signal={f:0,v,reactions:null,equals,rv:0,wv:0};return signal}function state$1(v,stack){
+const s2=source$2(v);return push_reaction_value(s2),s2}function mutable_source(initial_value,immutable=!1,trackable=!0){const s2=source$2(initial_value);return immutable||(s2.equals=safe_equals),legacy_mode_flag&&trackable&&component_context!==null&&component_context.l!==null&&(component_context.l.s??=[]).push(s2),s2}function set$1(source2,value,should_proxy=!1){active_reaction!==null&&(!untracking||(active_reaction.f&EAGER_EFFECT)!==0)&&is_runes()&&(active_reaction.f&(DERIVED|BLOCK_EFFECT|ASYNC|
+EAGER_EFFECT))!==0&&(current_sources===null||!includes.call(current_sources,source2))&&state_unsafe_mutation();let new_value=should_proxy?proxy(value):value;return internal_set(source2,new_value,legacy_updates)}function internal_set(source2,value,updated_during_traversal=null){if(!source2.equals(value)){var old_value=source2.v;is_destroying_effect?old_values.set(source2,value):old_values.set(source2,old_value),source2.v=value;var batch=Batch.ensure();if(batch.capture(source2,old_value),(source2.
+f&DERIVED)!==0){const derived2=source2;(source2.f&DIRTY)!==0&&execute_derived(derived2),batch_values===null&&update_derived_status(derived2)}source2.wv=increment_write_version(),mark_reactions(source2,DIRTY,updated_during_traversal),is_runes()&&active_effect!==null&&(active_effect.f&CLEAN)!==0&&(active_effect.f&(BRANCH_EFFECT|ROOT_EFFECT))===0&&(untracked_writes===null?set_untracked_writes([source2]):untracked_writes.push(source2)),!batch.is_fork&&eager_effects.size>0&&!eager_effects_deferred&&flush_eager_effects()}
+return value}function flush_eager_effects(){eager_effects_deferred=!1;for(const effect2 of eager_effects)(effect2.f&CLEAN)!==0&&set_signal_status(effect2,MAYBE_DIRTY),is_dirty(effect2)&&update_effect(effect2);eager_effects.clear()}function update$1(source2,d2=1){var value=get$3(source2),result=d2===1?value++:value--;return set$1(source2,value),result}function increment$1(source2){set$1(source2,source2.v+1)}function mark_reactions(signal,status,updated_during_traversal){var reactions=signal.reactions;
+if(reactions!==null)for(var runes=is_runes(),length=reactions.length,i=0;i<length;i++){var reaction=reactions[i],flags2=reaction.f;if(!(!runes&&reaction===active_effect)){var not_dirty=(flags2&DIRTY)===0;if(not_dirty&&set_signal_status(reaction,status),(flags2&DERIVED)!==0){var derived2=reaction;batch_values?.delete(derived2),(flags2&WAS_MARKED)===0&&(flags2&CONNECTED&&(reaction.f|=WAS_MARKED),mark_reactions(derived2,MAYBE_DIRTY,updated_during_traversal))}else if(not_dirty){var effect2=reaction;
+(flags2&BLOCK_EFFECT)!==0&&eager_block_effects!==null&&eager_block_effects.add(effect2),updated_during_traversal!==null?updated_during_traversal.push(effect2):schedule_effect(effect2)}}}}function proxy(value){if(typeof value!="object"||value===null||STATE_SYMBOL in value)return value;const prototype=get_prototype_of(value);if(prototype!==object_prototype&&prototype!==array_prototype)return value;var sources=new Map,is_proxied_array=is_array(value),version2=state$1(0),parent_version=update_version,
+with_parent=fn=>{if(update_version===parent_version)return fn();var reaction=active_reaction,version3=update_version;set_active_reaction(null),set_update_version(parent_version);var result=fn();return set_active_reaction(reaction),set_update_version(version3),result};return is_proxied_array&&sources.set("length",state$1(value.length)),new Proxy(value,{defineProperty(_,prop2,descriptor){(!("value"in descriptor)||descriptor.configurable===!1||descriptor.enumerable===!1||descriptor.writable===!1)&&
+state_descriptors_fixed();var s2=sources.get(prop2);return s2===void 0?with_parent(()=>{var s3=state$1(descriptor.value);return sources.set(prop2,s3),s3}):set$1(s2,descriptor.value,!0),!0},deleteProperty(target2,prop2){var s2=sources.get(prop2);if(s2===void 0){if(prop2 in target2){const s3=with_parent(()=>state$1(UNINITIALIZED));sources.set(prop2,s3),increment$1(version2)}}else set$1(s2,UNINITIALIZED),increment$1(version2);return!0},get(target2,prop2,receiver){if(prop2===STATE_SYMBOL)return value;
+var s2=sources.get(prop2),exists=prop2 in target2;if(s2===void 0&&(!exists||get_descriptor(target2,prop2)?.writable)&&(s2=with_parent(()=>{var p2=proxy(exists?target2[prop2]:UNINITIALIZED),s3=state$1(p2);return s3}),sources.set(prop2,s2)),s2!==void 0){var v=get$3(s2);return v===UNINITIALIZED?void 0:v}return Reflect.get(target2,prop2,receiver)},getOwnPropertyDescriptor(target2,prop2){var descriptor=Reflect.getOwnPropertyDescriptor(target2,prop2);if(descriptor&&"value"in descriptor){var s2=sources.
+get(prop2);s2&&(descriptor.value=get$3(s2))}else if(descriptor===void 0){var source2=sources.get(prop2),value2=source2?.v;if(source2!==void 0&&value2!==UNINITIALIZED)return{enumerable:!0,configurable:!0,value:value2,writable:!0}}return descriptor},has(target2,prop2){if(prop2===STATE_SYMBOL)return!0;var s2=sources.get(prop2),has=s2!==void 0&&s2.v!==UNINITIALIZED||Reflect.has(target2,prop2);if(s2!==void 0||active_effect!==null&&(!has||get_descriptor(target2,prop2)?.writable)){s2===void 0&&(s2=with_parent(
+()=>{var p2=has?proxy(target2[prop2]):UNINITIALIZED,s3=state$1(p2);return s3}),sources.set(prop2,s2));var value2=get$3(s2);if(value2===UNINITIALIZED)return!1}return has},set(target2,prop2,value2,receiver){var s2=sources.get(prop2),has=prop2 in target2;if(is_proxied_array&&prop2==="length")for(var i=value2;i<s2.v;i+=1){var other_s=sources.get(i+"");other_s!==void 0?set$1(other_s,UNINITIALIZED):i in target2&&(other_s=with_parent(()=>state$1(UNINITIALIZED)),sources.set(i+"",other_s))}if(s2===void 0)
+(!has||get_descriptor(target2,prop2)?.writable)&&(s2=with_parent(()=>state$1(void 0)),set$1(s2,proxy(value2)),sources.set(prop2,s2));else{has=s2.v!==UNINITIALIZED;var p2=with_parent(()=>proxy(value2));set$1(s2,p2)}var descriptor=Reflect.getOwnPropertyDescriptor(target2,prop2);if(descriptor?.set&&descriptor.set.call(receiver,value2),!has){if(is_proxied_array&&typeof prop2=="string"){var ls=sources.get("length"),n=Number(prop2);Number.isInteger(n)&&n>=ls.v&&set$1(ls,n+1)}increment$1(version2)}return!0},
+ownKeys(target2){get$3(version2);var own_keys=Reflect.ownKeys(target2).filter(key3=>{var source3=sources.get(key3);return source3===void 0||source3.v!==UNINITIALIZED});for(var[key2,source2]of sources)source2.v!==UNINITIALIZED&&!(key2 in target2)&&own_keys.push(key2);return own_keys},setPrototypeOf(){state_prototype_fixed()}})}function get_proxied_value(value){try{if(value!==null&&typeof value=="object"&&STATE_SYMBOL in value)return value[STATE_SYMBOL]}catch{}return value}function is(a,b){return Object.
+is(get_proxied_value(a),get_proxied_value(b))}var $window,$document,is_firefox,first_child_getter,next_sibling_getter;function init_operations(){if($window===void 0){$window=window,$document=document,is_firefox=/Firefox/.test(navigator.userAgent);var element_prototype=Element.prototype,node_prototype=Node.prototype,text_prototype=Text.prototype;first_child_getter=get_descriptor(node_prototype,"firstChild").get,next_sibling_getter=get_descriptor(node_prototype,"nextSibling").get,is_extensible(element_prototype)&&
+(element_prototype.__click=void 0,element_prototype.__className=void 0,element_prototype.__attributes=null,element_prototype.__style=void 0,element_prototype.__e=void 0),is_extensible(text_prototype)&&(text_prototype.__t=void 0)}}function create_text(value=""){return document.createTextNode(value)}function get_first_child(node2){return first_child_getter.call(node2)}function get_next_sibling(node2){return next_sibling_getter.call(node2)}function child(node2,is_text){if(!hydrating)return get_first_child(
+node2);var child2=get_first_child(hydrate_node);if(child2===null)child2=hydrate_node.appendChild(create_text());else if(is_text&&child2.nodeType!==TEXT_NODE){var text2=create_text();return child2?.before(text2),set_hydrate_node(text2),text2}return is_text&&merge_text_nodes(child2),set_hydrate_node(child2),child2}function first_child(node2,is_text=!1){if(!hydrating){var first=get_first_child(node2);return first instanceof Comment&&first.data===""?get_next_sibling(first):first}if(is_text){if(hydrate_node?.
+nodeType!==TEXT_NODE){var text2=create_text();return hydrate_node?.before(text2),set_hydrate_node(text2),text2}merge_text_nodes(hydrate_node)}return hydrate_node}function sibling(node2,count=1,is_text=!1){let next_sibling=hydrating?hydrate_node:node2;for(var last_sibling;count--;)last_sibling=next_sibling,next_sibling=get_next_sibling(next_sibling);if(!hydrating)return next_sibling;if(is_text){if(next_sibling?.nodeType!==TEXT_NODE){var text2=create_text();return next_sibling===null?last_sibling?.
+after(text2):next_sibling.before(text2),set_hydrate_node(text2),text2}merge_text_nodes(next_sibling)}return set_hydrate_node(next_sibling),next_sibling}function clear_text_content(node2){node2.textContent=""}function should_defer_append(){return!1}function create_element(tag,namespace,is2){return document.createElementNS(namespace??NAMESPACE_HTML,tag,void 0)}function merge_text_nodes(text2){if(text2.nodeValue.length<65536)return;let next2=text2.nextSibling;for(;next2!==null&&next2.nodeType===TEXT_NODE;)
+next2.remove(),text2.nodeValue+=next2.nodeValue,next2=text2.nextSibling}function autofocus(dom,value){if(value){const body2=document.body;dom.autofocus=!0,queue_micro_task(()=>{document.activeElement===body2&&dom.focus()})}}function remove_textarea_child(dom){hydrating&&get_first_child(dom)!==null&&clear_text_content(dom)}let listening_to_form_reset=!1;function add_form_reset_listener(){listening_to_form_reset||(listening_to_form_reset=!0,document.addEventListener("reset",evt=>{Promise.resolve().
+then(()=>{if(!evt.defaultPrevented)for(const e of evt.target.elements)e.__on_r?.()})},{capture:!0}))}function listen(target2,events,handler,call_handler_immediately=!0){call_handler_immediately&&handler();for(var name of events)target2.addEventListener(name,handler);teardown(()=>{for(var name2 of events)target2.removeEventListener(name2,handler)})}function without_reactive_context(fn){var previous_reaction=active_reaction,previous_effect=active_effect;set_active_reaction(null),set_active_effect(
+null);try{return fn()}finally{set_active_reaction(previous_reaction),set_active_effect(previous_effect)}}function listen_to_event_and_reset_event(element2,event2,handler,on_reset=handler){element2.addEventListener(event2,()=>without_reactive_context(handler));const prev2=element2.__on_r;prev2?element2.__on_r=()=>{prev2(),on_reset(!0)}:element2.__on_r=()=>on_reset(!0),add_form_reset_listener()}function validate_effect(rune){active_effect===null&&(active_reaction===null&&effect_orphan(),effect_in_unowned_derived()),
+is_destroying_effect&&effect_in_teardown()}function push_effect(effect2,parent_effect){var parent_last=parent_effect.last;parent_last===null?parent_effect.last=parent_effect.first=effect2:(parent_last.next=effect2,effect2.prev=parent_last,parent_effect.last=effect2)}function create_effect(type2,fn){var parent=active_effect;parent!==null&&(parent.f&INERT)!==0&&(type2|=INERT);var effect2={ctx:component_context,deps:null,nodes:null,f:type2|DIRTY|CONNECTED,first:null,fn,last:null,next:null,parent,b:parent&&
+parent.b,prev:null,teardown:null,wv:0,ac:null};current_batch?.register_created_effect(effect2);var e=effect2;if((type2&EFFECT)!==0)collected_effects!==null?collected_effects.push(effect2):Batch.ensure().schedule(effect2);else if(fn!==null){try{update_effect(effect2)}catch(e2){throw destroy_effect(effect2),e2}e.deps===null&&e.teardown===null&&e.nodes===null&&e.first===e.last&&(e.f&EFFECT_PRESERVED)===0&&(e=e.first,(type2&BLOCK_EFFECT)!==0&&(type2&EFFECT_TRANSPARENT)!==0&&e!==null&&(e.f|=EFFECT_TRANSPARENT))}
+if(e!==null&&(e.parent=parent,parent!==null&&push_effect(e,parent),active_reaction!==null&&(active_reaction.f&DERIVED)!==0&&(type2&ROOT_EFFECT)===0)){var derived2=active_reaction;(derived2.effects??=[]).push(e)}return effect2}function effect_tracking(){return active_reaction!==null&&!untracking}function teardown(fn){const effect2=create_effect(RENDER_EFFECT,null);return set_signal_status(effect2,CLEAN),effect2.teardown=fn,effect2}function user_effect(fn){validate_effect();var flags2=active_effect.
+f,defer=!active_reaction&&(flags2&BRANCH_EFFECT)!==0&&(flags2&REACTION_RAN)===0;if(defer){var context=component_context;(context.e??=[]).push(fn)}else return create_user_effect(fn)}function create_user_effect(fn){return create_effect(EFFECT|USER_EFFECT,fn)}function user_pre_effect(fn){return validate_effect(),create_effect(RENDER_EFFECT|USER_EFFECT,fn)}function effect_root(fn){Batch.ensure();const effect2=create_effect(ROOT_EFFECT|EFFECT_PRESERVED,fn);return()=>{destroy_effect(effect2)}}function component_root(fn){
+Batch.ensure();const effect2=create_effect(ROOT_EFFECT|EFFECT_PRESERVED,fn);return(options={})=>new Promise(fulfil=>{options.outro?pause_effect(effect2,()=>{destroy_effect(effect2),fulfil(void 0)}):(destroy_effect(effect2),fulfil(void 0))})}function effect(fn){return create_effect(EFFECT,fn)}function async_effect(fn){return create_effect(ASYNC|EFFECT_PRESERVED,fn)}function render_effect(fn,flags2=0){return create_effect(RENDER_EFFECT|flags2,fn)}function template_effect(fn,sync=[],async=[],blockers=[]){
+flatten(blockers,sync,async,values=>{create_effect(RENDER_EFFECT,()=>fn(...values.map(get$3)))})}function deferred_template_effect(fn,sync=[],async=[],blockers=[]){if(async.length>0||blockers.length>0)var decrement_pending=increment_pending();flatten(blockers,sync,async,values=>{create_effect(EFFECT,()=>fn(...values.map(get$3))),decrement_pending&&decrement_pending()})}function block(fn,flags2=0){var effect2=create_effect(BLOCK_EFFECT|flags2,fn);return effect2}function managed(fn,flags2=0){var effect2=create_effect(
+MANAGED_EFFECT|flags2,fn);return effect2}function branch(fn){return create_effect(BRANCH_EFFECT|EFFECT_PRESERVED,fn)}function execute_effect_teardown(effect2){var teardown2=effect2.teardown;if(teardown2!==null){const previously_destroying_effect=is_destroying_effect,previous_reaction=active_reaction;set_is_destroying_effect(!0),set_active_reaction(null);try{teardown2.call(null)}finally{set_is_destroying_effect(previously_destroying_effect),set_active_reaction(previous_reaction)}}}function destroy_effect_children(signal,remove_dom=!1){
+var effect2=signal.first;for(signal.first=signal.last=null;effect2!==null;){const controller=effect2.ac;controller!==null&&without_reactive_context(()=>{controller.abort(STALE_REACTION)});var next2=effect2.next;(effect2.f&ROOT_EFFECT)!==0?effect2.parent=null:destroy_effect(effect2,remove_dom),effect2=next2}}function destroy_block_effect_children(signal){for(var effect2=signal.first;effect2!==null;){var next2=effect2.next;(effect2.f&BRANCH_EFFECT)===0&&destroy_effect(effect2),effect2=next2}}function destroy_effect(effect2,remove_dom=!0){
+var removed=!1;(remove_dom||(effect2.f&HEAD_EFFECT)!==0)&&effect2.nodes!==null&&effect2.nodes.end!==null&&(remove_effect_dom(effect2.nodes.start,effect2.nodes.end),removed=!0),set_signal_status(effect2,DESTROYING),destroy_effect_children(effect2,remove_dom&&!removed),remove_reactions(effect2,0);var transitions=effect2.nodes&&effect2.nodes.t;if(transitions!==null)for(const transition2 of transitions)transition2.stop();execute_effect_teardown(effect2),effect2.f^=DESTROYING,effect2.f|=DESTROYED;var parent=effect2.
+parent;parent!==null&&parent.first!==null&&unlink_effect(effect2),effect2.next=effect2.prev=effect2.teardown=effect2.ctx=effect2.deps=effect2.fn=effect2.nodes=effect2.ac=effect2.b=null}function remove_effect_dom(node2,end){for(;node2!==null;){var next2=node2===end?null:get_next_sibling(node2);node2.remove(),node2=next2}}function unlink_effect(effect2){var parent=effect2.parent,prev2=effect2.prev,next2=effect2.next;prev2!==null&&(prev2.next=next2),next2!==null&&(next2.prev=prev2),parent!==null&&(parent.
+first===effect2&&(parent.first=next2),parent.last===effect2&&(parent.last=prev2))}function pause_effect(effect2,callback,destroy=!0){var transitions=[];pause_children(effect2,transitions,!0);var fn=()=>{destroy&&destroy_effect(effect2),callback&&callback()},remaining=transitions.length;if(remaining>0){var check=()=>--remaining||fn();for(var transition2 of transitions)transition2.out(check)}else fn()}function pause_children(effect2,transitions,local){if((effect2.f&INERT)===0){effect2.f^=INERT;var t=effect2.
+nodes&&effect2.nodes.t;if(t!==null)for(const transition2 of t)(transition2.is_global||local)&&transitions.push(transition2);for(var child2=effect2.first;child2!==null;){var sibling2=child2.next,transparent=(child2.f&EFFECT_TRANSPARENT)!==0||(child2.f&BRANCH_EFFECT)!==0&&(effect2.f&BLOCK_EFFECT)!==0;pause_children(child2,transitions,transparent?local:!1),child2=sibling2}}}function resume_effect(effect2){resume_children(effect2,!0)}function resume_children(effect2,local){if((effect2.f&INERT)!==0){
+effect2.f^=INERT,(effect2.f&CLEAN)===0&&(set_signal_status(effect2,DIRTY),Batch.ensure().schedule(effect2));for(var child2=effect2.first;child2!==null;){var sibling2=child2.next,transparent=(child2.f&EFFECT_TRANSPARENT)!==0||(child2.f&BRANCH_EFFECT)!==0;resume_children(child2,transparent?local:!1),child2=sibling2}var t=effect2.nodes&&effect2.nodes.t;if(t!==null)for(const transition2 of t)(transition2.is_global||local)&&transition2.in()}}function move_effect(effect2,fragment){if(effect2.nodes)for(var node2=effect2.
+nodes.start,end=effect2.nodes.end;node2!==null;){var next2=node2===end?null:get_next_sibling(node2);fragment.append(node2),node2=next2}}let is_updating_effect=!1,is_destroying_effect=!1;function set_is_destroying_effect(value){is_destroying_effect=value}let active_reaction=null,untracking=!1;function set_active_reaction(reaction){active_reaction=reaction}let active_effect=null;function set_active_effect(effect2){active_effect=effect2}let current_sources=null;function push_reaction_value(value){active_reaction!==
+null&&(current_sources===null?current_sources=[value]:current_sources.push(value))}let new_deps=null,skipped_deps=0,untracked_writes=null;function set_untracked_writes(value){untracked_writes=value}let write_version=1,read_version=0,update_version=read_version;function set_update_version(value){update_version=value}function increment_write_version(){return++write_version}function is_dirty(reaction){var flags2=reaction.f;if((flags2&DIRTY)!==0)return!0;if(flags2&DERIVED&&(reaction.f&=~WAS_MARKED),
+(flags2&MAYBE_DIRTY)!==0){for(var dependencies2=reaction.deps,length=dependencies2.length,i=0;i<length;i++){var dependency=dependencies2[i];if(is_dirty(dependency)&&update_derived(dependency),dependency.wv>reaction.wv)return!0}(flags2&CONNECTED)!==0&&batch_values===null&&set_signal_status(reaction,CLEAN)}return!1}function schedule_possible_effect_self_invalidation(signal,effect2,root2=!0){var reactions=signal.reactions;if(reactions!==null&&!(current_sources!==null&&includes.call(current_sources,
+signal)))for(var i=0;i<reactions.length;i++){var reaction=reactions[i];(reaction.f&DERIVED)!==0?schedule_possible_effect_self_invalidation(reaction,effect2,!1):effect2===reaction&&(root2?set_signal_status(reaction,DIRTY):(reaction.f&CLEAN)!==0&&set_signal_status(reaction,MAYBE_DIRTY),schedule_effect(reaction))}}function update_reaction(reaction){var previous_deps=new_deps,previous_skipped_deps=skipped_deps,previous_untracked_writes=untracked_writes,previous_reaction=active_reaction,previous_sources=current_sources,
+previous_component_context=component_context,previous_untracking=untracking,previous_update_version=update_version,flags2=reaction.f;new_deps=null,skipped_deps=0,untracked_writes=null,active_reaction=(flags2&(BRANCH_EFFECT|ROOT_EFFECT))===0?reaction:null,current_sources=null,set_component_context(reaction.ctx),untracking=!1,update_version=++read_version,reaction.ac!==null&&(without_reactive_context(()=>{reaction.ac.abort(STALE_REACTION)}),reaction.ac=null);try{reaction.f|=REACTION_IS_UPDATING;var fn=reaction.
+fn,result=fn();reaction.f|=REACTION_RAN;var deps=reaction.deps,is_fork=current_batch?.is_fork;if(new_deps!==null){var i;if(is_fork||remove_reactions(reaction,skipped_deps),deps!==null&&skipped_deps>0)for(deps.length=skipped_deps+new_deps.length,i=0;i<new_deps.length;i++)deps[skipped_deps+i]=new_deps[i];else reaction.deps=deps=new_deps;if(effect_tracking()&&(reaction.f&CONNECTED)!==0)for(i=skipped_deps;i<deps.length;i++)(deps[i].reactions??=[]).push(reaction)}else!is_fork&&deps!==null&&skipped_deps<
+deps.length&&(remove_reactions(reaction,skipped_deps),deps.length=skipped_deps);if(is_runes()&&untracked_writes!==null&&!untracking&&deps!==null&&(reaction.f&(DERIVED|MAYBE_DIRTY|DIRTY))===0)for(i=0;i<untracked_writes.length;i++)schedule_possible_effect_self_invalidation(untracked_writes[i],reaction);if(previous_reaction!==null&&previous_reaction!==reaction){if(read_version++,previous_reaction.deps!==null)for(let i2=0;i2<previous_skipped_deps;i2+=1)previous_reaction.deps[i2].rv=read_version;if(previous_deps!==
+null)for(const dep of previous_deps)dep.rv=read_version;untracked_writes!==null&&(previous_untracked_writes===null?previous_untracked_writes=untracked_writes:previous_untracked_writes.push(...untracked_writes))}return(reaction.f&ERROR_VALUE)!==0&&(reaction.f^=ERROR_VALUE),result}catch(error2){return handle_error$1(error2)}finally{reaction.f^=REACTION_IS_UPDATING,new_deps=previous_deps,skipped_deps=previous_skipped_deps,untracked_writes=previous_untracked_writes,active_reaction=previous_reaction,
+current_sources=previous_sources,set_component_context(previous_component_context),untracking=previous_untracking,update_version=previous_update_version}}function remove_reaction(signal,dependency){let reactions=dependency.reactions;if(reactions!==null){var index2=index_of.call(reactions,signal);if(index2!==-1){var new_length=reactions.length-1;new_length===0?reactions=dependency.reactions=null:(reactions[index2]=reactions[new_length],reactions.pop())}}if(reactions===null&&(dependency.f&DERIVED)!==
+0&&(new_deps===null||!includes.call(new_deps,dependency))){var derived2=dependency;(derived2.f&CONNECTED)!==0&&(derived2.f^=CONNECTED,derived2.f&=~WAS_MARKED),update_derived_status(derived2),freeze_derived_effects(derived2),remove_reactions(derived2,0)}}function remove_reactions(signal,start_index){var dependencies2=signal.deps;if(dependencies2!==null)for(var i=start_index;i<dependencies2.length;i++)remove_reaction(signal,dependencies2[i])}function update_effect(effect2){var flags2=effect2.f;if((flags2&
+DESTROYED)===0){set_signal_status(effect2,CLEAN);var previous_effect=active_effect,was_updating_effect=is_updating_effect;active_effect=effect2,is_updating_effect=!0;try{(flags2&(BLOCK_EFFECT|MANAGED_EFFECT))!==0?destroy_block_effect_children(effect2):destroy_effect_children(effect2),execute_effect_teardown(effect2);var teardown2=update_reaction(effect2);effect2.teardown=typeof teardown2=="function"?teardown2:null,effect2.wv=write_version;var dep}finally{is_updating_effect=was_updating_effect,active_effect=
+previous_effect}}}async function tick(){await Promise.resolve(),flushSync()}function settled(){return Batch.ensure().settled()}function get$3(signal){var flags2=signal.f,is_derived=(flags2&DERIVED)!==0;if(active_reaction!==null&&!untracking){var destroyed=active_effect!==null&&(active_effect.f&DESTROYED)!==0;if(!destroyed&&(current_sources===null||!includes.call(current_sources,signal))){var deps=active_reaction.deps;if((active_reaction.f&REACTION_IS_UPDATING)!==0)signal.rv<read_version&&(signal.
+rv=read_version,new_deps===null&&deps!==null&&deps[skipped_deps]===signal?skipped_deps++:new_deps===null?new_deps=[signal]:new_deps.push(signal));else{(active_reaction.deps??=[]).push(signal);var reactions=signal.reactions;reactions===null?signal.reactions=[active_reaction]:includes.call(reactions,active_reaction)||reactions.push(active_reaction)}}}if(is_destroying_effect&&old_values.has(signal))return old_values.get(signal);if(is_derived){var derived2=signal;if(is_destroying_effect){var value=derived2.
+v;return((derived2.f&CLEAN)===0&&derived2.reactions!==null||depends_on_old_values(derived2))&&(value=execute_derived(derived2)),old_values.set(derived2,value),value}var should_connect=(derived2.f&CONNECTED)===0&&!untracking&&active_reaction!==null&&(is_updating_effect||(active_reaction.f&CONNECTED)!==0),is_new=(derived2.f&REACTION_RAN)===0;is_dirty(derived2)&&(should_connect&&(derived2.f|=CONNECTED),update_derived(derived2)),should_connect&&!is_new&&(unfreeze_derived_effects(derived2),reconnect(
+derived2))}if(batch_values?.has(signal))return batch_values.get(signal);if((signal.f&ERROR_VALUE)!==0)throw signal.v;return signal.v}function reconnect(derived2){if(derived2.f|=CONNECTED,derived2.deps!==null)for(const dep of derived2.deps)(dep.reactions??=[]).push(derived2),(dep.f&DERIVED)!==0&&(dep.f&CONNECTED)===0&&(unfreeze_derived_effects(dep),reconnect(dep))}function depends_on_old_values(derived2){if(derived2.v===UNINITIALIZED)return!0;if(derived2.deps===null)return!1;for(const dep of derived2.
+deps)if(old_values.has(dep)||(dep.f&DERIVED)!==0&&depends_on_old_values(dep))return!0;return!1}function untrack$1(fn){var previous_untracking=untracking;try{return untracking=!0,fn()}finally{untracking=previous_untracking}}function deep_read_state(value){if(!(typeof value!="object"||!value||value instanceof EventTarget)){if(STATE_SYMBOL in value)deep_read(value);else if(!Array.isArray(value))for(let key2 in value){const prop2=value[key2];typeof prop2=="object"&&prop2&&STATE_SYMBOL in prop2&&deep_read(
+prop2)}}}function deep_read(value,visited=new Set){if(typeof value=="object"&&value!==null&&!(value instanceof EventTarget)&&!visited.has(value)){visited.add(value),value instanceof Date&&value.getTime();for(let key2 in value)try{deep_read(value[key2],visited)}catch{}const proto=get_prototype_of(value);if(proto!==Object.prototype&&proto!==Array.prototype&&proto!==Map.prototype&&proto!==Set.prototype&&proto!==Date.prototype){const descriptors=get_descriptors(proto);for(let key2 in descriptors){const get2=descriptors[key2].
+get;if(get2)try{get2.call(value)}catch{}}}}}function createAttachmentKey(){return Symbol(ATTACHMENT_KEY)}function is_capture_event(name){return name.endsWith("capture")&&name!=="gotpointercapture"&&name!=="lostpointercapture"}const DELEGATED_EVENTS=["beforeinput","click","change","dblclick","contextmenu","focusin","focusout","input","keydown","keyup","mousedown","mousemove","mouseout","mouseover","mouseup","pointerdown","pointermove","pointerout","pointerover","pointerup","touchend","touchmove",
+"touchstart"];function can_delegate_event(event_name){return DELEGATED_EVENTS.includes(event_name)}const ATTRIBUTE_ALIASES={formnovalidate:"formNoValidate",ismap:"isMap",nomodule:"noModule",playsinline:"playsInline",readonly:"readOnly",defaultvalue:"defaultValue",defaultchecked:"defaultChecked",srcobject:"srcObject",novalidate:"noValidate",allowfullscreen:"allowFullscreen",disablepictureinpicture:"disablePictureInPicture",disableremoteplayback:"disableRemotePlayback"};function normalize_attribute(name){
+return name=name.toLowerCase(),ATTRIBUTE_ALIASES[name]??name}const PASSIVE_EVENTS=["touchstart","touchmove"];function is_passive_event(name){return PASSIVE_EVENTS.includes(name)}const RAW_TEXT_ELEMENTS=["textarea","script","style","title"];function is_raw_text_element(name){return RAW_TEXT_ELEMENTS.includes(name)}const event_symbol=Symbol("events"),all_registered_events=new Set,root_event_handles=new Set;function replay_events(dom){if(!hydrating)return;dom.removeAttribute("onload"),dom.removeAttribute(
+"onerror");const event2=dom.__e;event2!==void 0&&(dom.__e=void 0,queueMicrotask(()=>{dom.isConnected&&dom.dispatchEvent(event2)}))}function create_event(event_name,dom,handler,options={}){function target_handler(event2){if(options.capture||handle_event_propagation.call(dom,event2),!event2.cancelBubble)return without_reactive_context(()=>handler?.call(this,event2))}return event_name.startsWith("pointer")||event_name.startsWith("touch")||event_name==="wheel"?queue_micro_task(()=>{dom.addEventListener(
+event_name,target_handler,options)}):dom.addEventListener(event_name,target_handler,options),target_handler}function on(element2,type2,handler,options={}){var target_handler=create_event(type2,element2,handler,options);return()=>{element2.removeEventListener(type2,target_handler,options)}}function event(event_name,dom,handler,capture2,passive){var options={capture:capture2,passive},target_handler=create_event(event_name,dom,handler,options);(dom===document.body||dom===window||dom===document||dom instanceof
+HTMLMediaElement)&&teardown(()=>{dom.removeEventListener(event_name,target_handler,options)})}function delegated(event_name,element2,handler){(element2[event_symbol]??={})[event_name]=handler}function delegate(events){for(var i=0;i<events.length;i++)all_registered_events.add(events[i]);for(var fn of root_event_handles)fn(events)}let last_propagated_event=null;function handle_event_propagation(event2){var handler_element=this,owner_document=handler_element.ownerDocument,event_name=event2.type,path2=event2.
+composedPath?.()||[],current_target=path2[0]||event2.target;last_propagated_event=event2;var path_idx=0,handled_at=last_propagated_event===event2&&event2[event_symbol];if(handled_at){var at_idx=path2.indexOf(handled_at);if(at_idx!==-1&&(handler_element===document||handler_element===window)){event2[event_symbol]=handler_element;return}var handler_idx=path2.indexOf(handler_element);if(handler_idx===-1)return;at_idx<=handler_idx&&(path_idx=at_idx)}if(current_target=path2[path_idx]||event2.target,current_target!==
+handler_element){define_property(event2,"currentTarget",{configurable:!0,get(){return current_target||owner_document}});var previous_reaction=active_reaction,previous_effect=active_effect;set_active_reaction(null),set_active_effect(null);try{for(var throw_error,other_errors=[];current_target!==null;){var parent_element2=current_target.assignedSlot||current_target.parentNode||current_target.host||null;try{var delegated2=current_target[event_symbol]?.[event_name];delegated2!=null&&(!current_target.
+disabled||event2.target===current_target)&&delegated2.call(current_target,event2)}catch(error2){throw_error?other_errors.push(error2):throw_error=error2}if(event2.cancelBubble||parent_element2===handler_element||parent_element2===null)break;current_target=parent_element2}if(throw_error){for(let error2 of other_errors)queueMicrotask(()=>{throw error2});throw throw_error}}finally{event2[event_symbol]=handler_element,delete event2.currentTarget,set_active_reaction(previous_reaction),set_active_effect(
+previous_effect)}}}const policy=globalThis?.window?.trustedTypes&&globalThis.window.trustedTypes.createPolicy("svelte-trusted-html",{createHTML:html2=>html2});function create_trusted_html(html2){return policy?.createHTML(html2)??html2}function create_fragment_from_html(html2){var elem=create_element("template");return elem.innerHTML=create_trusted_html(html2.replaceAll("<!>","<!---->")),elem.content}function assign_nodes(start2,end){var effect2=active_effect;effect2.nodes===null&&(effect2.nodes=
+{start:start2,end,a:null,t:null})}function from_html(content2,flags2){var is_fragment=(flags2&TEMPLATE_FRAGMENT)!==0,use_import_node=(flags2&TEMPLATE_USE_IMPORT_NODE)!==0,node2,has_start=!content2.startsWith("<!>");return()=>{if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;node2===void 0&&(node2=create_fragment_from_html(has_start?content2:"<!>"+content2),is_fragment||(node2=get_first_child(node2)));var clone2=use_import_node||is_firefox?document.importNode(node2,!0):node2.cloneNode(
+!0);if(is_fragment){var start2=get_first_child(clone2),end=clone2.lastChild;assign_nodes(start2,end)}else assign_nodes(clone2,clone2);return clone2}}function from_namespace(content2,flags2,ns="svg"){var has_start=!content2.startsWith("<!>"),wrapped=`<${ns}>${has_start?content2:"<!>"+content2}</${ns}>`,node2;return()=>{if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;if(!node2){var fragment=create_fragment_from_html(wrapped),root2=get_first_child(fragment);node2=get_first_child(root2)}
+var clone2=node2.cloneNode(!0);return assign_nodes(clone2,clone2),clone2}}function from_svg(content2,flags2){return from_namespace(content2,flags2,"svg")}function text$8(value=""){if(!hydrating){var t=create_text(value+"");return assign_nodes(t,t),t}var node2=hydrate_node;return node2.nodeType!==TEXT_NODE?(node2.before(node2=create_text()),set_hydrate_node(node2)):merge_text_nodes(node2),assign_nodes(node2,node2),node2}function comment$2(){if(hydrating)return assign_nodes(hydrate_node,null),hydrate_node;
+var frag=document.createDocumentFragment(),start2=document.createComment(""),anchor=create_text();return frag.append(start2,anchor),assign_nodes(start2,anchor),frag}function append(anchor,dom){if(hydrating){var effect2=active_effect;((effect2.f&REACTION_RAN)===0||effect2.nodes.end===null)&&(effect2.nodes.end=hydrate_node),hydrate_next();return}anchor!==null&&anchor.before(dom)}function props_id(){if(hydrating&&hydrate_node&&hydrate_node.nodeType===COMMENT_NODE&&hydrate_node.textContent?.startsWith(
+"$")){const id2=hydrate_node.textContent.substring(1);return hydrate_next(),id2}return(window.__svelte??={}).uid??=1,`c${window.__svelte.uid++}`}let should_intro=!0;function set_should_intro(value){should_intro=value}function set_text(text2,value){var str=value==null?"":typeof value=="object"?`${value}`:value;str!==(text2.__t??=text2.nodeValue)&&(text2.__t=str,text2.nodeValue=`${str}`)}function mount(component2,options){return _mount(component2,options)}function hydrate(component2,options){init_operations(),
+options.intro=options.intro??!1;const target2=options.target,was_hydrating=hydrating,previous_hydrate_node=hydrate_node;try{for(var anchor=get_first_child(target2);anchor&&(anchor.nodeType!==COMMENT_NODE||anchor.data!==HYDRATION_START);)anchor=get_next_sibling(anchor);if(!anchor)throw HYDRATION_ERROR;set_hydrating(!0),set_hydrate_node(anchor);const instance=_mount(component2,{...options,anchor});return set_hydrating(!1),instance}catch(error2){if(error2 instanceof Error&&error2.message.split(`
+`).some(line=>line.startsWith("https://svelte.dev/e/")))throw error2;return error2!==HYDRATION_ERROR&&console.warn("Failed to hydrate: ",error2),options.recover===!1&&hydration_failed(),init_operations(),clear_text_content(target2),set_hydrating(!1),mount(component2,options)}finally{set_hydrating(was_hydrating),set_hydrate_node(previous_hydrate_node)}}const listeners=new Map;function _mount(Component,{target:target2,anchor,props={},events,context,intro=!0,transformError}){init_operations();var component2=void 0,
+unmount2=component_root(()=>{var anchor_node=anchor??target2.appendChild(create_text());boundary(anchor_node,{pending:()=>{}},anchor_node2=>{push$1({});var ctx=component_context;if(context&&(ctx.c=context),events&&(props.$$events=events),hydrating&&assign_nodes(anchor_node2,null),should_intro=intro,component2=Component(anchor_node2,props)||{},should_intro=!0,hydrating&&(active_effect.nodes.end=hydrate_node,hydrate_node===null||hydrate_node.nodeType!==COMMENT_NODE||hydrate_node.data!==HYDRATION_END))
+throw hydration_mismatch(),HYDRATION_ERROR;pop()},transformError);var registered_events=new Set,event_handle=events2=>{for(var i=0;i<events2.length;i++){var event_name=events2[i];if(!registered_events.has(event_name)){registered_events.add(event_name);var passive=is_passive_event(event_name);for(const node2 of[target2,document]){var counts=listeners.get(node2);counts===void 0&&(counts=new Map,listeners.set(node2,counts));var count=counts.get(event_name);count===void 0?(node2.addEventListener(event_name,
+handle_event_propagation,{passive}),counts.set(event_name,1)):counts.set(event_name,count+1)}}}};return event_handle(array_from(all_registered_events)),root_event_handles.add(event_handle),()=>{for(var event_name of registered_events)for(const node2 of[target2,document]){var counts=listeners.get(node2),count=counts.get(event_name);--count==0?(node2.removeEventListener(event_name,handle_event_propagation),counts.delete(event_name),counts.size===0&&listeners.delete(node2)):counts.set(event_name,count)}
+root_event_handles.delete(event_handle),anchor_node!==anchor&&anchor_node.parentNode?.removeChild(anchor_node)}});return mounted_components.set(component2,unmount2),component2}let mounted_components=new WeakMap;function unmount(component2,options){const fn=mounted_components.get(component2);return fn?(mounted_components.delete(component2),fn(options)):Promise.resolve()}class BranchManager{anchor;#batches=new Map;#onscreen=new Map;#offscreen=new Map;#outroing=new Set;#transition=!0;constructor(anchor,transition2=!0){
+this.anchor=anchor,this.#transition=transition2}#commit=batch=>{if(this.#batches.has(batch)){var key2=this.#batches.get(batch),onscreen=this.#onscreen.get(key2);if(onscreen)resume_effect(onscreen),this.#outroing.delete(key2);else{var offscreen=this.#offscreen.get(key2);offscreen&&(this.#onscreen.set(key2,offscreen.effect),this.#offscreen.delete(key2),offscreen.fragment.lastChild.remove(),this.anchor.before(offscreen.fragment),onscreen=offscreen.effect)}for(const[b,k]of this.#batches){if(this.#batches.
+delete(b),b===batch)break;const offscreen2=this.#offscreen.get(k);offscreen2&&(destroy_effect(offscreen2.effect),this.#offscreen.delete(k))}for(const[k,effect2]of this.#onscreen){if(k===key2||this.#outroing.has(k))continue;const on_destroy=()=>{if(Array.from(this.#batches.values()).includes(k)){var fragment=document.createDocumentFragment();move_effect(effect2,fragment),fragment.append(create_text()),this.#offscreen.set(k,{effect:effect2,fragment})}else destroy_effect(effect2);this.#outroing.delete(
+k),this.#onscreen.delete(k)};this.#transition||!onscreen?(this.#outroing.add(k),pause_effect(effect2,on_destroy,!1)):on_destroy()}}};#discard=batch=>{this.#batches.delete(batch);const keys2=Array.from(this.#batches.values());for(const[k,branch2]of this.#offscreen)keys2.includes(k)||(destroy_effect(branch2.effect),this.#offscreen.delete(k))};ensure(key2,fn){var batch=current_batch,defer=should_defer_append();if(fn&&!this.#onscreen.has(key2)&&!this.#offscreen.has(key2))if(defer){var fragment=document.
+createDocumentFragment(),target2=create_text();fragment.append(target2),this.#offscreen.set(key2,{effect:branch(()=>fn(target2)),fragment})}else this.#onscreen.set(key2,branch(()=>fn(this.anchor)));if(this.#batches.set(batch,key2),defer){for(const[k,effect2]of this.#onscreen)k===key2?batch.unskip_effect(effect2):batch.skip_effect(effect2);for(const[k,branch2]of this.#offscreen)k===key2?batch.unskip_effect(branch2.effect):batch.skip_effect(branch2.effect);batch.oncommit(this.#commit),batch.ondiscard(
+this.#discard)}else hydrating&&(this.anchor=hydrate_node),this.#commit(batch)}}function if_block(node2,fn,elseif=!1){var marker;hydrating&&(marker=hydrate_node,hydrate_next());var branches=new BranchManager(node2),flags2=elseif?EFFECT_TRANSPARENT:0;function update_branch(key2,fn2){if(hydrating){var data=read_hydration_instruction(marker);if(key2!==parseInt(data.substring(1))){var anchor=skip_nodes();set_hydrate_node(anchor),branches.anchor=anchor,set_hydrating(!1),branches.ensure(key2,fn2),set_hydrating(
+!0);return}}branches.ensure(key2,fn2)}block(()=>{var has_branch=!1;fn((fn2,key2=0)=>{has_branch=!0,update_branch(key2,fn2)}),has_branch||update_branch(-1,null)},flags2)}const NAN=Symbol("NaN");function key$1(node2,get_key,render_fn){hydrating&&hydrate_next();var branches=new BranchManager(node2),legacy=!is_runes();block(()=>{var key2=get_key();key2!==key2&&(key2=NAN),legacy&&key2!==null&&typeof key2=="object"&&(key2={}),branches.ensure(key2,render_fn)})}function index$2(_,i){return i}function pause_effects(state2,to_destroy,controlled_anchor){
+for(var transitions=[],length=to_destroy.length,group,remaining=to_destroy.length,i=0;i<length;i++){let effect2=to_destroy[i];pause_effect(effect2,()=>{if(group){if(group.pending.delete(effect2),group.done.add(effect2),group.pending.size===0){var groups=state2.outrogroups;destroy_effects(state2,array_from(group.done)),groups.delete(group),groups.size===0&&(state2.outrogroups=null)}}else remaining-=1},!1)}if(remaining===0){var fast_path=transitions.length===0&&controlled_anchor!==null;if(fast_path){
+var anchor=controlled_anchor,parent_node=anchor.parentNode;clear_text_content(parent_node),parent_node.append(anchor),state2.items.clear()}destroy_effects(state2,to_destroy,!fast_path)}else group={pending:new Set(to_destroy),done:new Set},(state2.outrogroups??=new Set).add(group)}function destroy_effects(state2,to_destroy,remove_dom=!0){var preserved_effects;if(state2.pending.size>0){preserved_effects=new Set;for(const keys2 of state2.pending.values())for(const key2 of keys2)preserved_effects.add(
+state2.items.get(key2).e)}for(var i=0;i<to_destroy.length;i++){var e=to_destroy[i];if(preserved_effects?.has(e)){e.f|=EFFECT_OFFSCREEN;const fragment=document.createDocumentFragment();move_effect(e,fragment)}else destroy_effect(to_destroy[i],remove_dom)}}var offscreen_anchor;function each(node2,flags2,get_collection,get_key,render_fn,fallback_fn=null){var anchor=node2,items2=new Map,is_controlled=(flags2&EACH_IS_CONTROLLED)!==0;if(is_controlled){var parent_node=node2;anchor=hydrating?set_hydrate_node(
+get_first_child(parent_node)):parent_node.appendChild(create_text())}hydrating&&hydrate_next();var fallback2=null,each_array=derived_safe_equal(()=>{var collection=get_collection();return is_array(collection)?collection:collection==null?[]:array_from(collection)}),array2,pending=new Map,first_run=!0;function commit(batch){(state2.effect.f&DESTROYED)===0&&(state2.pending.delete(batch),state2.fallback=fallback2,reconcile(state2,array2,anchor,flags2,get_key),fallback2!==null&&(array2.length===0?(fallback2.
+f&EFFECT_OFFSCREEN)===0?resume_effect(fallback2):(fallback2.f^=EFFECT_OFFSCREEN,move(fallback2,null,anchor)):pause_effect(fallback2,()=>{fallback2=null})))}function discard(batch){state2.pending.delete(batch)}var effect2=block(()=>{array2=get$3(each_array);var length=array2.length;let mismatch=!1;if(hydrating){var is_else=read_hydration_instruction(anchor)===HYDRATION_START_ELSE;is_else!==(length===0)&&(anchor=skip_nodes(),set_hydrate_node(anchor),set_hydrating(!1),mismatch=!0)}for(var keys2=new Set,
+batch=current_batch,defer=should_defer_append(),index2=0;index2<length;index2+=1){hydrating&&hydrate_node.nodeType===COMMENT_NODE&&hydrate_node.data===HYDRATION_END&&(anchor=hydrate_node,mismatch=!0,set_hydrating(!1));var value=array2[index2],key2=get_key(value,index2),item=first_run?null:items2.get(key2);item?(item.v&&internal_set(item.v,value),item.i&&internal_set(item.i,index2),defer&&batch.unskip_effect(item.e)):(item=create_item(items2,first_run?anchor:offscreen_anchor??=create_text(),value,
+key2,index2,render_fn,flags2,get_collection),first_run||(item.e.f|=EFFECT_OFFSCREEN),items2.set(key2,item)),keys2.add(key2)}if(length===0&&fallback_fn&&!fallback2&&(first_run?fallback2=branch(()=>fallback_fn(anchor)):(fallback2=branch(()=>fallback_fn(offscreen_anchor??=create_text())),fallback2.f|=EFFECT_OFFSCREEN)),length>keys2.size&&each_key_duplicate(),hydrating&&length>0&&set_hydrate_node(skip_nodes()),!first_run)if(pending.set(batch,keys2),defer){for(const[key3,item2]of items2)keys2.has(key3)||
+batch.skip_effect(item2.e);batch.oncommit(commit),batch.ondiscard(discard)}else commit(batch);mismatch&&set_hydrating(!0),get$3(each_array)}),state2={effect:effect2,items:items2,pending,outrogroups:null,fallback:fallback2};first_run=!1,hydrating&&(anchor=hydrate_node)}function skip_to_branch(effect2){for(;effect2!==null&&(effect2.f&BRANCH_EFFECT)===0;)effect2=effect2.next;return effect2}function reconcile(state2,array2,anchor,flags2,get_key){var is_animated=(flags2&EACH_IS_ANIMATED)!==0,length=array2.
+length,items2=state2.items,current2=skip_to_branch(state2.effect.first),seen2,prev2=null,to_animate,matched=[],stashed=[],value,key2,effect2,i;if(is_animated)for(i=0;i<length;i+=1)value=array2[i],key2=get_key(value,i),effect2=items2.get(key2).e,(effect2.f&EFFECT_OFFSCREEN)===0&&(effect2.nodes?.a?.measure(),(to_animate??=new Set).add(effect2));for(i=0;i<length;i+=1){if(value=array2[i],key2=get_key(value,i),effect2=items2.get(key2).e,state2.outrogroups!==null)for(const group of state2.outrogroups)
+group.pending.delete(effect2),group.done.delete(effect2);if((effect2.f&INERT)!==0&&(resume_effect(effect2),is_animated&&(effect2.nodes?.a?.unfix(),(to_animate??=new Set).delete(effect2))),(effect2.f&EFFECT_OFFSCREEN)!==0)if(effect2.f^=EFFECT_OFFSCREEN,effect2===current2)move(effect2,null,anchor);else{var next2=prev2?prev2.next:current2;effect2===state2.effect.last&&(state2.effect.last=effect2.prev),effect2.prev&&(effect2.prev.next=effect2.next),effect2.next&&(effect2.next.prev=effect2.prev),link$2(
+state2,prev2,effect2),link$2(state2,effect2,next2),move(effect2,next2,anchor),prev2=effect2,matched=[],stashed=[],current2=skip_to_branch(prev2.next);continue}if(effect2!==current2){if(seen2!==void 0&&seen2.has(effect2)){if(matched.length<stashed.length){var start2=stashed[0],j;prev2=start2.prev;var a=matched[0],b=matched[matched.length-1];for(j=0;j<matched.length;j+=1)move(matched[j],start2,anchor);for(j=0;j<stashed.length;j+=1)seen2.delete(stashed[j]);link$2(state2,a.prev,b.next),link$2(state2,
+prev2,a),link$2(state2,b,start2),current2=start2,prev2=b,i-=1,matched=[],stashed=[]}else seen2.delete(effect2),move(effect2,current2,anchor),link$2(state2,effect2.prev,effect2.next),link$2(state2,effect2,prev2===null?state2.effect.first:prev2.next),link$2(state2,prev2,effect2),prev2=effect2;continue}for(matched=[],stashed=[];current2!==null&&current2!==effect2;)(seen2??=new Set).add(current2),stashed.push(current2),current2=skip_to_branch(current2.next);if(current2===null)continue}(effect2.f&EFFECT_OFFSCREEN)===
+0&&matched.push(effect2),prev2=effect2,current2=skip_to_branch(effect2.next)}if(state2.outrogroups!==null){for(const group of state2.outrogroups)group.pending.size===0&&(destroy_effects(state2,array_from(group.done)),state2.outrogroups?.delete(group));state2.outrogroups.size===0&&(state2.outrogroups=null)}if(current2!==null||seen2!==void 0){var to_destroy=[];if(seen2!==void 0)for(effect2 of seen2)(effect2.f&INERT)===0&&to_destroy.push(effect2);for(;current2!==null;)(current2.f&INERT)===0&&current2!==
+state2.fallback&&to_destroy.push(current2),current2=skip_to_branch(current2.next);var destroy_length=to_destroy.length;if(destroy_length>0){var controlled_anchor=(flags2&EACH_IS_CONTROLLED)!==0&&length===0?anchor:null;if(is_animated){for(i=0;i<destroy_length;i+=1)to_destroy[i].nodes?.a?.measure();for(i=0;i<destroy_length;i+=1)to_destroy[i].nodes?.a?.fix()}pause_effects(state2,to_destroy,controlled_anchor)}}is_animated&&queue_micro_task(()=>{if(to_animate!==void 0)for(effect2 of to_animate)effect2.
+nodes?.a?.apply()})}function create_item(items2,anchor,value,key2,index2,render_fn,flags2,get_collection){var v=(flags2&EACH_ITEM_REACTIVE)!==0?(flags2&EACH_ITEM_IMMUTABLE)===0?mutable_source(value,!1,!1):source$2(value):null,i=(flags2&EACH_INDEX_REACTIVE)!==0?source$2(index2):null;return{v,i,e:branch(()=>(render_fn(anchor,v??value,i??index2,get_collection),()=>{items2.delete(key2)}))}}function move(effect2,next2,anchor){if(effect2.nodes)for(var node2=effect2.nodes.start,end=effect2.nodes.end,dest=next2&&
+(next2.f&EFFECT_OFFSCREEN)===0?next2.nodes.start:anchor;node2!==null;){var next_node=get_next_sibling(node2);if(dest.before(node2),node2===end)return;node2=next_node}}function link$2(state2,prev2,next2){prev2===null?state2.effect.first=next2:prev2.next=next2,next2===null?state2.effect.last=prev2:next2.prev=prev2}function html$6(node2,get_value,is_controlled=!1,svg2=!1,mathml=!1,skip_warning=!1){var anchor=node2,value="";if(is_controlled){var parent_node=node2;hydrating&&(anchor=set_hydrate_node(
+get_first_child(parent_node)))}template_effect(()=>{var effect2=active_effect;if(value===(value=get_value()??"")){hydrating&&hydrate_next();return}if(is_controlled&&!hydrating){effect2.nodes=null,parent_node.innerHTML=value,value!==""&&assign_nodes(get_first_child(parent_node),parent_node.lastChild);return}if(effect2.nodes!==null&&(remove_effect_dom(effect2.nodes.start,effect2.nodes.end),effect2.nodes=null),value!==""){if(hydrating){hydrate_node.data;for(var next2=hydrate_next(),last=next2;next2!==
+null&&(next2.nodeType!==COMMENT_NODE||next2.data!=="");)last=next2,next2=get_next_sibling(next2);if(next2===null)throw hydration_mismatch(),HYDRATION_ERROR;assign_nodes(hydrate_node,last),anchor=set_hydrate_node(next2);return}var ns=svg2?NAMESPACE_SVG:mathml?NAMESPACE_MATHML:void 0,wrapper=create_element(svg2?"svg":mathml?"math":"template",ns);wrapper.innerHTML=value;var node3=svg2||mathml?wrapper:wrapper.content;if(assign_nodes(get_first_child(node3),node3.lastChild),svg2||mathml)for(;get_first_child(
+node3);)anchor.before(get_first_child(node3));else anchor.before(node3)}})}function snippet(node2,get_snippet,...args){var branches=new BranchManager(node2);block(()=>{const snippet2=get_snippet()??null;branches.ensure(snippet2,snippet2&&(anchor=>snippet2(anchor,...args)))},EFFECT_TRANSPARENT)}function component(node2,get_component,render_fn){var hydration_start_node;hydrating&&(hydration_start_node=hydrate_node,hydrate_next());var branches=new BranchManager(node2);block(()=>{var component2=get_component()??
+null;if(hydrating){var data=read_hydration_instruction(hydration_start_node),server_had_component=data===HYDRATION_START,client_has_component=component2!==null;if(server_had_component!==client_has_component){var anchor=skip_nodes();set_hydrate_node(anchor),branches.anchor=anchor,set_hydrating(!1),branches.ensure(component2,component2&&(target2=>render_fn(target2,component2))),set_hydrating(!0);return}}branches.ensure(component2,component2&&(target2=>render_fn(target2,component2)))},EFFECT_TRANSPARENT)}
+const now=()=>performance.now(),raf={tick:_=>requestAnimationFrame(_),now:()=>now(),tasks:new Set};function run_tasks(){const now2=raf.now();raf.tasks.forEach(task=>{task.c(now2)||(raf.tasks.delete(task),task.f())}),raf.tasks.size!==0&&raf.tick(run_tasks)}function loop(callback){let task;return raf.tasks.size===0&&raf.tick(run_tasks),{promise:new Promise(fulfill=>{raf.tasks.add(task={c:callback,f:fulfill})}),abort(){raf.tasks.delete(task)}}}function dispatch_event(element2,type2){without_reactive_context(
+()=>{element2.dispatchEvent(new CustomEvent(type2))})}function css_property_to_camelcase(style2){if(style2==="float")return"cssFloat";if(style2==="offset")return"cssOffset";if(style2.startsWith("--"))return style2;const parts=style2.split("-");return parts.length===1?parts[0]:parts[0]+parts.slice(1).map(word=>word[0].toUpperCase()+word.slice(1)).join("")}function css_to_keyframe(css2){const keyframe={},parts=css2.split(";");for(const part of parts){const[property,value]=part.split(":");if(!property||
+value===void 0)break;const formatted_property=css_property_to_camelcase(property.trim());keyframe[formatted_property]=value.trim()}return keyframe}const linear$1=t=>t;function transition(flags2,element2,get_fn,get_params){var is_intro=(flags2&TRANSITION_IN)!==0,is_outro=(flags2&TRANSITION_OUT)!==0,is_both=is_intro&&is_outro,is_global=(flags2&TRANSITION_GLOBAL)!==0,direction=is_both?"both":is_intro?"in":"out",current_options,inert=element2.inert,overflow=element2.style.overflow,intro,outro;function get_options(){
+return without_reactive_context(()=>current_options??=get_fn()(element2,get_params?.()??{},{direction}))}var transition2={is_global,in(){if(element2.inert=inert,!is_intro){outro?.abort(),outro?.reset?.();return}is_outro||intro?.abort(),intro=animate(element2,get_options(),outro,1,()=>{dispatch_event(element2,"introend"),intro?.abort(),intro=current_options=void 0,element2.style.overflow=overflow})},out(fn){if(!is_outro){fn?.(),current_options=void 0;return}element2.inert=!0,outro=animate(element2,
+get_options(),intro,0,()=>{dispatch_event(element2,"outroend"),fn?.()})},stop:()=>{intro?.abort(),outro?.abort()}},e=active_effect;if((e.nodes.t??=[]).push(transition2),is_intro&&should_intro){var run2=is_global;if(!run2){for(var block2=e.parent;block2&&(block2.f&EFFECT_TRANSPARENT)!==0;)for(;(block2=block2.parent)&&(block2.f&BLOCK_EFFECT)===0;);run2=!block2||(block2.f&REACTION_RAN)!==0}run2&&effect(()=>{untrack$1(()=>transition2.in())})}}function animate(element2,options,counterpart,t2,on_finish){
+var is_intro=t2===1;if(is_function(options)){var a,aborted2=!1;return queue_micro_task(()=>{if(!aborted2){var o=options({direction:is_intro?"in":"out"});a=animate(element2,o,counterpart,t2,on_finish)}}),{abort:()=>{aborted2=!0,a?.abort()},deactivate:()=>a.deactivate(),reset:()=>a.reset(),t:()=>a.t()}}if(counterpart?.deactivate(),!options?.duration&&!options?.delay)return dispatch_event(element2,is_intro?"introstart":"outrostart"),on_finish(),{abort:noop$3,deactivate:noop$3,reset:noop$3,t:()=>t2};
+const{delay=0,css:css2,tick:tick2,easing=linear$1}=options;var keyframes=[];if(is_intro&&counterpart===void 0&&(tick2&&tick2(0,1),css2)){var styles2=css_to_keyframe(css2(0,1));keyframes.push(styles2,styles2)}var get_t=()=>1-t2,animation=element2.animate(keyframes,{duration:delay,fill:"forwards"});return animation.onfinish=()=>{animation.cancel(),dispatch_event(element2,is_intro?"introstart":"outrostart");var t1=counterpart?.t()??1-t2;counterpart?.abort();var delta=t2-t1,duration2=options.duration*
+Math.abs(delta),keyframes2=[];if(duration2>0){var needs_overflow_hidden=!1;if(css2)for(var n=Math.ceil(duration2/16.666666666666668),i=0;i<=n;i+=1){var t=t1+delta*easing(i/n),styles3=css_to_keyframe(css2(t,1-t));keyframes2.push(styles3),needs_overflow_hidden||=styles3.overflow==="hidden"}needs_overflow_hidden&&(element2.style.overflow="hidden"),get_t=()=>{var time2=animation.currentTime;return t1+delta*easing(time2/duration2)},tick2&&loop(()=>{if(animation.playState!=="running")return!1;var t3=get_t();
+return tick2(t3,1-t3),!0})}animation=element2.animate(keyframes2,{duration:duration2,fill:"forwards"}),animation.onfinish=()=>{get_t=()=>t2,tick2?.(t2,1-t2),on_finish()}},{abort:()=>{animation&&(animation.cancel(),animation.effect=null,animation.onfinish=noop$3)},deactivate:()=>{on_finish=noop$3},reset:()=>{t2===0&&tick2?.(1,0)},t:()=>get_t()}}function element$4(node2,get_tag,is_svg,render_fn,get_namespace,location2){let was_hydrating=hydrating;hydrating&&hydrate_next();var element2=null;hydrating&&
+hydrate_node.nodeType===ELEMENT_NODE$1&&(element2=hydrate_node,hydrate_next());var anchor=hydrating?hydrate_node:node2,branches=new BranchManager(anchor,!1);block(()=>{const next_tag=get_tag()||null;var ns=is_svg||next_tag==="svg"?NAMESPACE_SVG:void 0;if(next_tag===null){branches.ensure(null,null),set_should_intro(!0);return}return branches.ensure(next_tag,anchor2=>{if(next_tag){if(element2=hydrating?element2:create_element(next_tag,ns),assign_nodes(element2,element2),render_fn){hydrating&&is_raw_text_element(
+next_tag)&&element2.append(document.createComment(""));var child_anchor=hydrating?get_first_child(element2):element2.appendChild(create_text());hydrating&&(child_anchor===null?set_hydrating(!1):set_hydrate_node(child_anchor)),render_fn(element2,child_anchor)}active_effect.nodes.end=element2,anchor2.before(element2)}hydrating&&set_hydrate_node(anchor2)}),set_should_intro(!0),()=>{next_tag&&set_should_intro(!1)}},EFFECT_TRANSPARENT),teardown(()=>{set_should_intro(!0)}),was_hydrating&&(set_hydrating(
+!0),set_hydrate_node(anchor))}function head$1(hash2,render_fn){let previous_hydrate_node=null,was_hydrating=hydrating;var anchor;if(hydrating){previous_hydrate_node=hydrate_node;for(var head_anchor=get_first_child(document.head);head_anchor!==null&&(head_anchor.nodeType!==COMMENT_NODE||head_anchor.data!==hash2);)head_anchor=get_next_sibling(head_anchor);if(head_anchor===null)set_hydrating(!1);else{var start2=get_next_sibling(head_anchor);head_anchor.remove(),set_hydrate_node(start2)}}hydrating||
+(anchor=document.head.appendChild(create_text()));try{block(()=>render_fn(anchor),HEAD_EFFECT|EFFECT_PRESERVED)}finally{was_hydrating&&(set_hydrating(!0),set_hydrate_node(previous_hydrate_node))}}function action(dom,action2,get_value){effect(()=>{var payload=untrack$1(()=>action2(dom,get_value?.())||{});if(get_value&&payload?.update){var inited2=!1,prev2={};render_effect(()=>{var value=get_value();deep_read_state(value),inited2&&safe_not_equal(prev2,value)&&(prev2=value,payload.update(value))}),
+inited2=!0}if(payload?.destroy)return()=>payload.destroy()})}function attach(node2,get_fn){var fn=void 0,e;managed(()=>{fn!==(fn=get_fn())&&(e&&(destroy_effect(e),e=null),fn&&(e=branch(()=>{effect(()=>fn(node2))})))})}function r$1(e){var t,f,n="";if(typeof e=="string"||typeof e=="number")n+=e;else if(typeof e=="object")if(Array.isArray(e)){var o=e.length;for(t=0;t<o;t++)e[t]&&(f=r$1(e[t]))&&(n&&(n+=" "),n+=f)}else for(f in e)e[f]&&(n&&(n+=" "),n+=f);return n}function clsx$1(){for(var e,t,f=0,n="",
+o=arguments.length;f<o;f++)(e=arguments[f])&&(t=r$1(e))&&(n&&(n+=" "),n+=t);return n}function clsx(value){return typeof value=="object"?clsx$1(value):value??""}const whitespace$1=[...` 	
+\r\f \v\uFEFF`];function to_class(value,hash2,directives){var classname=value==null?"":""+value;if(hash2&&(classname=classname?classname+" "+hash2:hash2),directives){for(var key2 of Object.keys(directives))if(directives[key2])classname=classname?classname+" "+key2:key2;else if(classname.length)for(var len=key2.length,a=0;(a=classname.indexOf(key2,a))>=0;){var b=a+len;(a===0||whitespace$1.includes(classname[a-1]))&&(b===classname.length||whitespace$1.includes(classname[b]))?classname=(a===0?"":classname.
+substring(0,a))+classname.substring(b+1):a=b}}return classname===""?null:classname}function append_styles(styles2,important=!1){var separator=important?" !important;":";",css2="";for(var key2 of Object.keys(styles2)){var value=styles2[key2];value!=null&&value!==""&&(css2+=" "+key2+": "+value+separator)}return css2}function to_css_name(name){return name[0]!=="-"||name[1]!=="-"?name.toLowerCase():name}function to_style(value,styles2){if(styles2){var new_style="",normal_styles,important_styles;if(Array.
+isArray(styles2)?(normal_styles=styles2[0],important_styles=styles2[1]):normal_styles=styles2,value){value=String(value).replaceAll(/\s*\/\*.*?\*\/\s*/g,"").trim();var in_str=!1,in_apo=0,in_comment=!1,reserved_names=[];normal_styles&&reserved_names.push(...Object.keys(normal_styles).map(to_css_name)),important_styles&&reserved_names.push(...Object.keys(important_styles).map(to_css_name));var start_index=0,name_index=-1;const len=value.length;for(var i=0;i<len;i++){var c2=value[i];if(in_comment?c2===
+"/"&&value[i-1]==="*"&&(in_comment=!1):in_str?in_str===c2&&(in_str=!1):c2==="/"&&value[i+1]==="*"?in_comment=!0:c2==='"'||c2==="'"?in_str=c2:c2==="("?in_apo++:c2===")"&&in_apo--,!in_comment&&in_str===!1&&in_apo===0){if(c2===":"&&name_index===-1)name_index=i;else if(c2===";"||i===len-1){if(name_index!==-1){var name=to_css_name(value.substring(start_index,name_index).trim());if(!reserved_names.includes(name)){c2!==";"&&i++;var property=value.substring(start_index,i).trim();new_style+=" "+property+
+";"}}start_index=i+1,name_index=-1}}}}return normal_styles&&(new_style+=append_styles(normal_styles)),important_styles&&(new_style+=append_styles(important_styles,!0)),new_style=new_style.trim(),new_style===""?null:new_style}return value==null?null:String(value)}function set_class(dom,is_html,value,hash2,prev_classes,next_classes){var prev2=dom.__className;if(hydrating||prev2!==value||prev2===void 0){var next_class_name=to_class(value,hash2,next_classes);(!hydrating||next_class_name!==dom.getAttribute(
+"class"))&&(next_class_name==null?dom.removeAttribute("class"):is_html?dom.className=next_class_name:dom.setAttribute("class",next_class_name)),dom.__className=value}else if(next_classes&&prev_classes!==next_classes)for(var key2 in next_classes){var is_present=!!next_classes[key2];(prev_classes==null||is_present!==!!prev_classes[key2])&&dom.classList.toggle(key2,is_present)}return next_classes}function update_styles(dom,prev2={},next2,priority){for(var key2 in next2){var value=next2[key2];prev2[key2]!==
+value&&(next2[key2]==null?dom.style.removeProperty(key2):dom.style.setProperty(key2,value,priority))}}function set_style(dom,value,prev_styles,next_styles){var prev2=dom.__style;if(hydrating||prev2!==value){var next_style_attr=to_style(value,next_styles);(!hydrating||next_style_attr!==dom.getAttribute("style"))&&(next_style_attr==null?dom.removeAttribute("style"):dom.style.cssText=next_style_attr),dom.__style=value}else next_styles&&(Array.isArray(next_styles)?(update_styles(dom,prev_styles?.[0],
+next_styles[0]),update_styles(dom,prev_styles?.[1],next_styles[1],"important")):update_styles(dom,prev_styles,next_styles));return next_styles}function select_option(select,value,mounting=!1){if(select.multiple){if(value==null)return;if(!is_array(value))return select_multiple_invalid_value();for(var option2 of select.options)option2.selected=value.includes(get_option_value(option2));return}for(option2 of select.options){var option_value=get_option_value(option2);if(is(option_value,value)){option2.
+selected=!0;return}}(!mounting||value!==void 0)&&(select.selectedIndex=-1)}function init_select(select){var observer=new MutationObserver(()=>{select_option(select,select.__value)});observer.observe(select,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["value"]}),teardown(()=>{observer.disconnect()})}function get_option_value(option2){return"__value"in option2?option2.__value:option2.value}const CLASS=Symbol("class"),STYLE=Symbol("style"),IS_CUSTOM_ELEMENT=Symbol("is custom element"),IS_HTML=Symbol(
+"is html"),LINK_TAG=IS_XHTML?"link":"LINK",INPUT_TAG=IS_XHTML?"input":"INPUT",OPTION_TAG=IS_XHTML?"option":"OPTION",SELECT_TAG=IS_XHTML?"select":"SELECT",PROGRESS_TAG=IS_XHTML?"progress":"PROGRESS";function remove_input_defaults(input){if(hydrating){var already_removed=!1,remove_defaults=()=>{if(!already_removed){if(already_removed=!0,input.hasAttribute("value")){var value=input.value;set_attribute(input,"value",null),input.value=value}if(input.hasAttribute("checked")){var checked=input.checked;
+set_attribute(input,"checked",null),input.checked=checked}}};input.__on_r=remove_defaults,queue_micro_task(remove_defaults),add_form_reset_listener()}}function set_value(element2,value){var attributes=get_attributes(element2);attributes.value===(attributes.value=value??void 0)||element2.value===value&&(value!==0||element2.nodeName!==PROGRESS_TAG)||(element2.value=value??"")}function set_selected(element2,selected){selected?element2.hasAttribute("selected")||element2.setAttribute("selected",""):element2.
+removeAttribute("selected")}function set_attribute(element2,attribute,value,skip_warning){var attributes=get_attributes(element2);hydrating&&(attributes[attribute]=element2.getAttribute(attribute),attribute==="src"||attribute==="srcset"||attribute==="href"&&element2.nodeName===LINK_TAG)||attributes[attribute]!==(attributes[attribute]=value)&&(attribute==="loading"&&(element2[LOADING_ATTR_SYMBOL]=value),value==null?element2.removeAttribute(attribute):typeof value!="string"&&get_setters(element2).
+includes(attribute)?element2[attribute]=value:element2.setAttribute(attribute,value))}function set_attributes(element2,prev2,next2,css_hash,should_remove_defaults=!1,skip_warning=!1){if(hydrating&&should_remove_defaults&&element2.nodeName===INPUT_TAG){var input=element2,attribute=input.type==="checkbox"?"defaultChecked":"defaultValue";attribute in next2||remove_input_defaults(input)}var attributes=get_attributes(element2),is_custom_element=attributes[IS_CUSTOM_ELEMENT],preserve_attribute_case=!attributes[IS_HTML];
+let is_hydrating_custom_element=hydrating&&is_custom_element;is_hydrating_custom_element&&set_hydrating(!1);var current2=prev2||{},is_option_element=element2.nodeName===OPTION_TAG;for(var key2 in prev2)key2 in next2||(next2[key2]=null);next2.class?next2.class=clsx(next2.class):(css_hash||next2[CLASS])&&(next2.class=null),next2[STYLE]&&(next2.style??=null);var setters=get_setters(element2);for(const key3 in next2){let value=next2[key3];if(is_option_element&&key3==="value"&&value==null){element2.value=
+element2.__value="",current2[key3]=value;continue}if(key3==="class"){var is_html=element2.namespaceURI==="http://www.w3.org/1999/xhtml";set_class(element2,is_html,value,css_hash,prev2?.[CLASS],next2[CLASS]),current2[key3]=value,current2[CLASS]=next2[CLASS];continue}if(key3==="style"){set_style(element2,value,prev2?.[STYLE],next2[STYLE]),current2[key3]=value,current2[STYLE]=next2[STYLE];continue}var prev_value=current2[key3];if(!(value===prev_value&&!(value===void 0&&element2.hasAttribute(key3)))){
+current2[key3]=value;var prefix=key3[0]+key3[1];if(prefix!=="$$")if(prefix==="on"){const opts={},event_handle_key="$$"+key3;let event_name=key3.slice(2);var is_delegated=can_delegate_event(event_name);if(is_capture_event(event_name)&&(event_name=event_name.slice(0,-7),opts.capture=!0),!is_delegated&&prev_value){if(value!=null)continue;element2.removeEventListener(event_name,current2[event_handle_key],opts),current2[event_handle_key]=null}if(is_delegated)delegated(event_name,element2,value),delegate(
+[event_name]);else if(value!=null){let handle2=function(evt){current2[key3].call(this,evt)};current2[event_handle_key]=create_event(event_name,element2,handle2,opts)}}else if(key3==="style")set_attribute(element2,key3,value);else if(key3==="autofocus")autofocus(element2,!!value);else if(!is_custom_element&&(key3==="__value"||key3==="value"&&value!=null))element2.value=element2.__value=value;else if(key3==="selected"&&is_option_element)set_selected(element2,value);else{var name=key3;preserve_attribute_case||
+(name=normalize_attribute(name));var is_default=name==="defaultValue"||name==="defaultChecked";if(value==null&&!is_custom_element&&!is_default)if(attributes[key3]=null,name==="value"||name==="checked"){let input2=element2;const use_default=prev2===void 0;if(name==="value"){let previous2=input2.defaultValue;input2.removeAttribute(name),input2.defaultValue=previous2,input2.value=input2.__value=use_default?previous2:null}else{let previous2=input2.defaultChecked;input2.removeAttribute(name),input2.defaultChecked=
+previous2,input2.checked=use_default?previous2:!1}}else element2.removeAttribute(key3);else is_default||setters.includes(name)&&(is_custom_element||typeof value!="string")?(element2[name]=value,name in attributes&&(attributes[name]=UNINITIALIZED)):typeof value!="function"&&set_attribute(element2,name,value)}}}return is_hydrating_custom_element&&set_hydrating(!0),current2}function attribute_effect(element2,fn,sync=[],async=[],blockers=[],css_hash,should_remove_defaults=!1,skip_warning=!1){flatten(
+blockers,sync,async,values=>{var prev2=void 0,effects={},is_select=element2.nodeName===SELECT_TAG,inited2=!1;if(managed(()=>{var next2=fn(...values.map(get$3)),current2=set_attributes(element2,prev2,next2,css_hash,should_remove_defaults,skip_warning);inited2&&is_select&&"value"in next2&&select_option(element2,next2.value);for(let symbol of Object.getOwnPropertySymbols(effects))next2[symbol]||destroy_effect(effects[symbol]);for(let symbol of Object.getOwnPropertySymbols(next2)){var n=next2[symbol];
+symbol.description===ATTACHMENT_KEY&&(!prev2||n!==prev2[symbol])&&(effects[symbol]&&destroy_effect(effects[symbol]),effects[symbol]=branch(()=>attach(element2,()=>n))),current2[symbol]=n}prev2=current2}),is_select){var select=element2;effect(()=>{select_option(select,prev2.value,!0),init_select(select)})}inited2=!0})}function get_attributes(element2){return element2.__attributes??={[IS_CUSTOM_ELEMENT]:element2.nodeName.includes("-"),[IS_HTML]:element2.namespaceURI===NAMESPACE_HTML}}var setters_cache=new Map;
+function get_setters(element2){var cache_key=element2.getAttribute("is")||element2.nodeName,setters=setters_cache.get(cache_key);if(setters)return setters;setters_cache.set(cache_key,setters=[]);for(var descriptors,proto=element2,element_proto=Element.prototype;element_proto!==proto;){descriptors=get_descriptors(proto);for(var key2 in descriptors)descriptors[key2].set&&setters.push(key2);proto=get_prototype_of(proto)}return setters}function bind_value(input,get2,set2=get2){var batches2=new WeakSet;
+listen_to_event_and_reset_event(input,"input",async is_reset=>{var value=is_reset?input.defaultValue:input.value;if(value=is_numberlike_input(input)?to_number(value):value,set2(value),current_batch!==null&&batches2.add(current_batch),await tick(),value!==(value=get2())){var start2=input.selectionStart,end=input.selectionEnd,length=input.value.length;if(input.value=value??"",end!==null){var new_length=input.value.length;start2===end&&end===length&&new_length>length?(input.selectionStart=new_length,
+input.selectionEnd=new_length):(input.selectionStart=start2,input.selectionEnd=Math.min(end,new_length))}}}),(hydrating&&input.defaultValue!==input.value||untrack$1(get2)==null&&input.value)&&(set2(is_numberlike_input(input)?to_number(input.value):input.value),current_batch!==null&&batches2.add(current_batch)),render_effect(()=>{var value=get2();if(input===document.activeElement){var batch=current_batch;if(batches2.has(batch))return}is_numberlike_input(input)&&value===to_number(input.value)||input.
+type==="date"&&!value&&!input.value||value!==input.value&&(input.value=value??"")})}function is_numberlike_input(input){var type2=input.type;return type2==="number"||type2==="range"}function to_number(value){return value===""?null:+value}function bind_files(input,get2,set2=get2){listen_to_event_and_reset_event(input,"change",()=>{set2(input.files)}),hydrating&&input.files&&set2(input.files),render_effect(()=>{input.files=get2()})}function is_bound_this(bound_value,element_or_component){return bound_value===
+element_or_component||bound_value?.[STATE_SYMBOL]===element_or_component}function bind_this(element_or_component={},update2,get_value,get_parts){var component_effect=component_context.r,parent=active_effect;return effect(()=>{var old_parts,parts;return render_effect(()=>{old_parts=parts,parts=[],untrack$1(()=>{element_or_component!==get_value(...parts)&&(update2(element_or_component,...parts),old_parts&&is_bound_this(get_value(...old_parts),element_or_component)&&update2(null,...old_parts))})}),
+()=>{let p2=parent;for(;p2!==component_effect&&p2.parent!==null&&p2.parent.f&DESTROYING;)p2=p2.parent;const teardown2=()=>{parts&&is_bound_this(get_value(...parts),element_or_component)&&update2(null,...parts)},original_teardown=p2.teardown;p2.teardown=()=>{teardown2(),original_teardown?.()}}}),element_or_component}function bind_window_size(type2,set2){listen(window,["resize"],()=>without_reactive_context(()=>set2(window[type2])))}function init(immutable=!1){const context=component_context,callbacks=context.
+l.u;if(!callbacks)return;let props=()=>deep_read_state(context.s);if(immutable){let version2=0,prev2={};const d2=derived(()=>{let changed=!1;const props2=context.s;for(const key2 in props2)props2[key2]!==prev2[key2]&&(prev2[key2]=props2[key2],changed=!0);return changed&&version2++,version2});props=()=>get$3(d2)}callbacks.b.length&&user_pre_effect(()=>{observe_all(context,props),run_all(callbacks.b)}),user_effect(()=>{const fns=untrack$1(()=>callbacks.m.map(run));return()=>{for(const fn of fns)typeof fn==
+"function"&&fn()}}),callbacks.a.length&&user_effect(()=>{observe_all(context,props),run_all(callbacks.a)})}function observe_all(context,props){if(context.l.s)for(const signal of context.l.s)get$3(signal);props()}const rest_props_handler={get(target2,key2){if(!target2.exclude.includes(key2))return target2.props[key2]},set(target2,key2){return!1},getOwnPropertyDescriptor(target2,key2){if(!target2.exclude.includes(key2)&&key2 in target2.props)return{enumerable:!0,configurable:!0,value:target2.props[key2]}},
+has(target2,key2){return target2.exclude.includes(key2)?!1:key2 in target2.props},ownKeys(target2){return Reflect.ownKeys(target2.props).filter(key2=>!target2.exclude.includes(key2))}};function rest_props(props,exclude,name){return new Proxy({props,exclude},rest_props_handler)}const spread_props_handler={get(target2,key2){let i=target2.props.length;for(;i--;){let p2=target2.props[i];if(is_function(p2)&&(p2=p2()),typeof p2=="object"&&p2!==null&&key2 in p2)return p2[key2]}},set(target2,key2,value){
+let i=target2.props.length;for(;i--;){let p2=target2.props[i];is_function(p2)&&(p2=p2());const desc=get_descriptor(p2,key2);if(desc&&desc.set)return desc.set(value),!0}return!1},getOwnPropertyDescriptor(target2,key2){let i=target2.props.length;for(;i--;){let p2=target2.props[i];if(is_function(p2)&&(p2=p2()),typeof p2=="object"&&p2!==null&&key2 in p2){const descriptor=get_descriptor(p2,key2);return descriptor&&!descriptor.configurable&&(descriptor.configurable=!0),descriptor}}},has(target2,key2){
+if(key2===STATE_SYMBOL||key2===LEGACY_PROPS)return!1;for(let p2 of target2.props)if(is_function(p2)&&(p2=p2()),p2!=null&&key2 in p2)return!0;return!1},ownKeys(target2){const keys2=[];for(let p2 of target2.props)if(is_function(p2)&&(p2=p2()),!!p2){for(const key2 in p2)keys2.includes(key2)||keys2.push(key2);for(const key2 of Object.getOwnPropertySymbols(p2))keys2.includes(key2)||keys2.push(key2)}return keys2}};function spread_props(...props){return new Proxy({props},spread_props_handler)}function prop(props,key2,flags2,fallback2){
+var runes=!legacy_mode_flag||(flags2&PROPS_IS_RUNES)!==0,bindable=(flags2&PROPS_IS_BINDABLE)!==0,lazy=(flags2&PROPS_IS_LAZY_INITIAL)!==0,fallback_value=fallback2,fallback_dirty=!0,get_fallback=()=>(fallback_dirty&&(fallback_dirty=!1,fallback_value=lazy?untrack$1(fallback2):fallback2),fallback_value);let setter;if(bindable){var is_entry_props=STATE_SYMBOL in props||LEGACY_PROPS in props;setter=get_descriptor(props,key2)?.set??(is_entry_props&&key2 in props?v=>props[key2]=v:void 0)}var initial_value,
+is_store_sub=!1;bindable?[initial_value,is_store_sub]=capture_store_binding(()=>props[key2]):initial_value=props[key2],initial_value===void 0&&fallback2!==void 0&&(initial_value=get_fallback(),setter&&(runes&&props_invalid_value(),setter(initial_value)));var getter;if(runes?getter=()=>{var value=props[key2];return value===void 0?get_fallback():(fallback_dirty=!0,value)}:getter=()=>{var value=props[key2];return value!==void 0&&(fallback_value=void 0),value===void 0?fallback_value:value},runes&&(flags2&
+PROPS_IS_UPDATED)===0)return getter;if(setter){var legacy_parent=props.$$legacy;return(function(value,mutation){return arguments.length>0?((!runes||!mutation||legacy_parent||is_store_sub)&&setter(mutation?getter():value),value):getter()})}var overridden=!1,d2=((flags2&PROPS_IS_IMMUTABLE)!==0?derived:derived_safe_equal)(()=>(overridden=!1,getter()));bindable&&get$3(d2);var parent_effect=active_effect;return(function(value,mutation){if(arguments.length>0){const new_value=mutation?get$3(d2):runes&&
+bindable?proxy(value):value;return set$1(d2,new_value),overridden=!0,fallback_value!==void 0&&(fallback_value=new_value),value}return is_destroying_effect&&overridden||(parent_effect.f&DESTROYED)!==0?d2.v:get$3(d2)})}function asClassComponent(component2){return class extends Svelte4Component{constructor(options){super({component:component2,...options})}}}class Svelte4Component{#events;#instance;constructor(options){var sources=new Map,add_source=(key2,value)=>{var s2=mutable_source(value,!1,!1);
+return sources.set(key2,s2),s2};const props=new Proxy({...options.props||{},$$events:{}},{get(target2,prop2){return get$3(sources.get(prop2)??add_source(prop2,Reflect.get(target2,prop2)))},has(target2,prop2){return prop2===LEGACY_PROPS?!0:(get$3(sources.get(prop2)??add_source(prop2,Reflect.get(target2,prop2))),Reflect.has(target2,prop2))},set(target2,prop2,value){return set$1(sources.get(prop2)??add_source(prop2,value),value),Reflect.set(target2,prop2,value)}});this.#instance=(options.hydrate?hydrate:
+mount)(options.component,{target:options.target,anchor:options.anchor,props,context:options.context,intro:options.intro??!1,recover:options.recover,transformError:options.transformError}),(!options?.props?.$$host||options.sync===!1)&&flushSync(),this.#events=props.$$events;for(const key2 of Object.keys(this.#instance))key2==="$set"||key2==="$destroy"||key2==="$on"||define_property(this,key2,{get(){return this.#instance[key2]},set(value){this.#instance[key2]=value},enumerable:!0});this.#instance.
+$set=next2=>{Object.assign(props,next2)},this.#instance.$destroy=()=>{unmount(this.#instance)}}$set(props){this.#instance.$set(props)}$on(event2,callback){this.#events[event2]=this.#events[event2]||[];const cb=(...args)=>callback.call(this,...args);return this.#events[event2].push(cb),()=>{this.#events[event2]=this.#events[event2].filter(fn=>fn!==cb)}}$destroy(){this.#instance.$destroy()}}function onMount$1(fn){component_context===null&&lifecycle_outside_component(),legacy_mode_flag&&component_context.
+l!==null?init_update_callbacks(component_context).m.push(fn):user_effect(()=>{const cleanup=untrack$1(fn);if(typeof cleanup=="function")return cleanup})}function onDestroy(fn){component_context===null&&lifecycle_outside_component(),onMount$1(()=>()=>untrack$1(fn))}function init_update_callbacks(context){var l=context.l;return l.u??={a:[],b:[],m:[]}}const svelte=Object.freeze(Object.defineProperty({__proto__:null,flushSync,getAllContexts,getContext,hasContext,hydrate,mount,onDestroy,onMount:onMount$1,
+setContext,settled,tick,unmount,untrack:untrack$1},Symbol.toStringTag,{value:"Module"}));class HttpError{constructor(status,body2){this.status=status,typeof body2=="string"?this.body={message:body2}:body2?this.body=body2:this.body={message:`Error: ${status}`}}toString(){return JSON.stringify(this.body)}}class Redirect{constructor(status,location2){try{new Headers({location:location2})}catch{throw new Error(`Invalid redirect location ${JSON.stringify(location2)}: this string contains characters t\
+hat cannot be used in HTTP headers`)}this.status=status,this.location=location2}}class SvelteKitError extends Error{constructor(status,text2,message){super(message),this.status=status,this.text=text2}}new URL("sveltekit-internal://");function normalize_path(path2,trailing_slash){return path2==="/"||trailing_slash==="ignore"?path2:trailing_slash==="never"?path2.endsWith("/")?path2.slice(0,-1):path2:trailing_slash==="always"&&!path2.endsWith("/")?path2+"/":path2}function decode_pathname(pathname){
+return pathname.split("%25").map(decodeURI).join("%25")}function decode_params(params){for(const key2 in params)params[key2]=decodeURIComponent(params[key2]);return params}function strip_hash({href}){return href.split("#")[0]}function make_trackable(url2,callback,search_params_callback,allow_hash=!1){const tracked=new URL(url2);Object.defineProperty(tracked,"searchParams",{value:new Proxy(tracked.searchParams,{get(obj,key2){if(key2==="get"||key2==="getAll"||key2==="has")return(param,...rest)=>(search_params_callback(
+param),obj[key2](param,...rest));callback();const value=Reflect.get(obj,key2);return typeof value=="function"?value.bind(obj):value}}),enumerable:!0,configurable:!0});const tracked_url_properties=["href","pathname","search","toString","toJSON"];allow_hash&&tracked_url_properties.push("hash");for(const property of tracked_url_properties)Object.defineProperty(tracked,property,{get(){return callback(),url2[property]},enumerable:!0,configurable:!0});return tracked}function noop$2(){}function hash$1(...values){
+let hash2=5381;for(const value of values)if(typeof value=="string"){let i=value.length;for(;i;)hash2=hash2*33^value.charCodeAt(--i)}else if(ArrayBuffer.isView(value)){const buffer=new Uint8Array(value.buffer,value.byteOffset,value.byteLength);let i=buffer.length;for(;i;)hash2=hash2*33^buffer[--i]}else throw new TypeError("value must be a string or TypedArray");return(hash2>>>0).toString(36)}new TextEncoder;new TextDecoder;function base64_decode(encoded){const binary=atob(encoded),bytes=new Uint8Array(
+binary.length);for(let i=0;i<binary.length;i++)bytes[i]=binary.charCodeAt(i);return bytes}const native_fetch=window.fetch;window.fetch=(input,init2)=>((input instanceof Request?input.method:init2?.method||"GET")!=="GET"&&cache.delete(build_selector(input)),native_fetch(input,init2));const cache=new Map;function initial_fetch(resource,opts){const selector=build_selector(resource,opts),script=document.querySelector(selector);if(script?.textContent){script.remove();let{body:body2,...init2}=JSON.parse(
+script.textContent);const ttl=script.getAttribute("data-ttl");return ttl&&cache.set(selector,{body:body2,init:init2,ttl:1e3*Number(ttl)}),script.getAttribute("data-b64")!==null&&(body2=base64_decode(body2)),Promise.resolve(new Response(body2,init2))}return window.fetch(resource,opts)}function subsequent_fetch(resource,resolved,opts){if(cache.size>0){const selector=build_selector(resource,opts),cached2=cache.get(selector);if(cached2){if(performance.now()<cached2.ttl&&["default","force-cache","onl\
+y-if-cached",void 0].includes(opts?.cache))return new Response(cached2.body,cached2.init);cache.delete(selector)}}return window.fetch(resolved,opts)}function build_selector(resource,opts){let selector=`script[data-sveltekit-fetched][data-url=${JSON.stringify(resource instanceof Request?resource.url:resource)}]`;if(opts?.headers||opts?.body){const values=[];opts.headers&&values.push([...new Headers(opts.headers)].join(",")),opts.body&&(typeof opts.body=="string"||ArrayBuffer.isView(opts.body))&&values.
+push(opts.body),selector+=`[data-hash="${hash$1(...values)}"]`}return selector}const param_pattern=/^(\[)?(\.\.\.)?(\w+)(?:=(\w+))?(\])?$/;function parse_route_id(id2){const params=[];return{pattern:id2==="/"?/^\/$/:new RegExp(`^${get_route_segments(id2).map(segment=>{const rest_match=/^\[\.\.\.(\w+)(?:=(\w+))?\]$/.exec(segment);if(rest_match)return params.push({name:rest_match[1],matcher:rest_match[2],optional:!1,rest:!0,chained:!0}),"(?:/([^]*))?";const optional_match=/^\[\[(\w+)(?:=(\w+))?\]\]$/.
+exec(segment);if(optional_match)return params.push({name:optional_match[1],matcher:optional_match[2],optional:!0,rest:!1,chained:!0}),"(?:/([^/]+))?";if(!segment)return;const parts=segment.split(/\[(.+?)\](?!\])/);return"/"+parts.map((content2,i)=>{if(i%2){if(content2.startsWith("x+"))return escape$3(String.fromCharCode(parseInt(content2.slice(2),16)));if(content2.startsWith("u+"))return escape$3(String.fromCharCode(...content2.slice(2).split("-").map(code2=>parseInt(code2,16))));const match=param_pattern.
+exec(content2),[,is_optional,is_rest,name,matcher]=match;return params.push({name,matcher,optional:!!is_optional,rest:!!is_rest,chained:is_rest?i===1&&parts[0]==="":!1}),is_rest?"([^]*?)":is_optional?"([^/]*)?":"([^/]+?)"}return escape$3(content2)}).join("")}).join("")}/?$`),params}}function affects_path(segment){return segment!==""&&!/^\([^)]+\)$/.test(segment)}function get_route_segments(route){return route.slice(1).split("/").filter(affects_path)}function exec(match,params,matchers2){const result={},
+values=match.slice(1),values_needing_match=values.filter(value=>value!==void 0);let buffered=0;for(let i=0;i<params.length;i+=1){const param=params[i];let value=values[i-buffered];if(param.chained&&param.rest&&buffered&&(value=values.slice(i-buffered,i+1).filter(s2=>s2).join("/"),buffered=0),value===void 0)if(param.rest)value="";else continue;if(!param.matcher||matchers2[param.matcher](value)){result[param.name]=value;const next_param=params[i+1],next_value=values[i+1];next_param&&!next_param.rest&&
+next_param.optional&&next_value&&param.chained&&(buffered=0),!next_param&&!next_value&&Object.keys(result).length===values_needing_match.length&&(buffered=0);continue}if(param.optional&&param.chained){buffered++;continue}return}if(!buffered)return result}function escape$3(str){return str.normalize().replace(/[[\]]/g,"\\$&").replace(/%/g,"%25").replace(/\//g,"%2[Ff]").replace(/\?/g,"%3[Ff]").replace(/#/g,"%23").replace(/[.*+?^${}()|\\]/g,"\\$&")}function parse$5({nodes:nodes2,server_loads:server_loads2,
+dictionary:dictionary2,matchers:matchers2}){const layouts_with_server_load=new Set(server_loads2);return Object.entries(dictionary2).map(([id2,[leaf2,layouts,errors2]])=>{const{pattern:pattern2,params}=parse_route_id(id2),route={id:id2,exec:path2=>{const match=pattern2.exec(path2);if(match)return exec(match,params,matchers2)},errors:[1,...errors2||[]].map(n=>nodes2[n]),layouts:[0,...layouts||[]].map(create_layout_loader),leaf:create_leaf_loader(leaf2)};return route.errors.length=route.layouts.length=
+Math.max(route.errors.length,route.layouts.length),route});function create_leaf_loader(id2){const uses_server_data=id2<0;return uses_server_data&&(id2=~id2),[uses_server_data,nodes2[id2]]}function create_layout_loader(id2){return id2===void 0?id2:[layouts_with_server_load.has(id2),nodes2[id2]]}}function get$2(key2,parse2=JSON.parse){try{return parse2(sessionStorage[key2])}catch{}}function set(key2,value,stringify2=JSON.stringify){const data=stringify2(value);try{sessionStorage[key2]=data}catch{}}
+const base=globalThis.__sveltekit__?.base??"",assets=globalThis.__sveltekit__?.assets??base??"",version$3="llama-server-webui",SNAPSHOT_KEY="sveltekit:snapshot",SCROLL_KEY="sveltekit:scroll",STATES_KEY="sveltekit:states",PAGE_URL_KEY="sveltekit:pageurl",HISTORY_INDEX="sveltekit:history",NAVIGATION_INDEX="sveltekit:navigation",PRELOAD_PRIORITIES={tap:1,hover:2,viewport:3,eager:4,off:-1,false:-1},origin=location.origin;function resolve_url(url2){if(url2 instanceof URL)return url2;let baseURI=document.
+baseURI;if(!baseURI){const baseTags=document.getElementsByTagName("base");baseURI=baseTags.length?baseTags[0].href:document.URL}return new URL(url2,baseURI)}function scroll_state(){return{x:pageXOffset,y:pageYOffset}}function link_option(element2,name){return element2.getAttribute(`data-sveltekit-${name}`)}const levels={...PRELOAD_PRIORITIES,"":PRELOAD_PRIORITIES.hover};function parent_element(element2){let parent=element2.assignedSlot??element2.parentNode;return parent?.nodeType===11&&(parent=parent.
+host),parent}function find_anchor(element2,target2){for(;element2&&element2!==target2;){if(element2.nodeName.toUpperCase()==="A"&&element2.hasAttribute("href"))return element2;element2=parent_element(element2)}}function get_link_info(a,base2,uses_hash_router){let url2;try{if(url2=new URL(a instanceof SVGAElement?a.href.baseVal:a.href,document.baseURI),uses_hash_router&&url2.hash.match(/^#[^/]/)){const route=location.hash.split("#")[1]||"/";url2.hash=`#${route}${url2.hash}`}}catch{}const target2=a instanceof
+SVGAElement?a.target.baseVal:a.target,external=!url2||!!target2||is_external_url(url2,base2,uses_hash_router)||(a.getAttribute("rel")||"").split(/\s+/).includes("external"),download=url2?.origin===origin&&a.hasAttribute("download");return{url:url2,external,target:target2,download}}function get_router_options(element2){let keepfocus=null,noscroll=null,preload_code=null,preload_data=null,reload=null,replace_state=null,el=element2;for(;el&&el!==document.documentElement;)preload_code===null&&(preload_code=
+link_option(el,"preload-code")),preload_data===null&&(preload_data=link_option(el,"preload-data")),keepfocus===null&&(keepfocus=link_option(el,"keepfocus")),noscroll===null&&(noscroll=link_option(el,"noscroll")),reload===null&&(reload=link_option(el,"reload")),replace_state===null&&(replace_state=link_option(el,"replacestate")),el=parent_element(el);function get_option_state(value){switch(value){case"":case"true":return!0;case"off":case"false":return!1;default:return}}return{preload_code:levels[preload_code??
+"off"],preload_data:levels[preload_data??"off"],keepfocus:get_option_state(keepfocus),noscroll:get_option_state(noscroll),reload:get_option_state(reload),replace_state:get_option_state(replace_state)}}function notifiable_store(value){const store=writable(value);let ready=!0;function notify(){ready=!0,store.update(val=>val)}function set2(new_value){ready=!1,store.set(new_value)}function subscribe(run2){let old_value;return store.subscribe(new_value=>{(old_value===void 0||ready&&new_value!==old_value)&&
+run2(old_value=new_value)})}return{notify,set:set2,subscribe}}const updated_listener={v:noop$2};function create_updated_store(){const{set:set2,subscribe}=writable(!1);let timeout;async function check(){clearTimeout(timeout);try{const res=await fetch(`${assets}/_app/version.json`,{headers:{pragma:"no-cache","cache-control":"no-cache"}});if(!res.ok)return!1;const updated2=(await res.json()).version!==version$3;return updated2&&(set2(!0),updated_listener.v(),clearTimeout(timeout)),updated2}catch{return!1}}
+return{subscribe,check}}function is_external_url(url2,base2,hash_routing){return url2.origin!==origin||!url2.pathname.startsWith(base2)?!0:hash_routing?url2.pathname!==location.pathname:!1}const valid_layout_exports=new Set(["load","prerender","csr","ssr","trailingSlash","config"]);[...valid_layout_exports];const valid_layout_server_exports=new Set([...valid_layout_exports]);[...valid_layout_server_exports];function compact(arr){return arr.filter(val=>val!=null)}function get_status(error2){return error2 instanceof
+HttpError||error2 instanceof SvelteKitError?error2.status:500}function get_message(error2){return error2 instanceof SvelteKitError?error2.text:"Internal Error"}let page$3,navigating,updated;const is_legacy=onMount$1.toString().includes("$$")||/function \w+\(\) \{\}/.test(onMount$1.toString()),placeholder_url="a:";is_legacy?(page$3={data:{},form:null,error:null,params:{},route:{id:null},state:{},status:-1,url:new URL(placeholder_url)},navigating={current:null},updated={current:!1}):(page$3=new class{#data=state$1(
+{});get data(){return get$3(this.#data)}set data(value){set$1(this.#data,value)}#form=state$1(null);get form(){return get$3(this.#form)}set form(value){set$1(this.#form,value)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value)}#params=state$1({});get params(){return get$3(this.#params)}set params(value){set$1(this.#params,value)}#route=state$1({id:null});get route(){return get$3(this.#route)}set route(value){set$1(this.#route,value)}#state=state$1(
+{});get state(){return get$3(this.#state)}set state(value){set$1(this.#state,value)}#status=state$1(-1);get status(){return get$3(this.#status)}set status(value){set$1(this.#status,value)}#url=state$1(new URL(placeholder_url));get url(){return get$3(this.#url)}set url(value){set$1(this.#url,value)}},navigating=new class{#current=state$1(null);get current(){return get$3(this.#current)}set current(value){set$1(this.#current,value)}},updated=new class{#current=state$1(!1);get current(){return get$3(
+this.#current)}set current(value){set$1(this.#current,value)}},updated_listener.v=()=>updated.current=!0);function update(new_page){Object.assign(page$3,new_page)}const noop_span={spanContext(){return noop_span_context},setAttribute(){return this},setAttributes(){return this},addEvent(){return this},setStatus(){return this},updateName(){return this},end(){return this},isRecording(){return!1},recordException(){return this},addLink(){return this},addLinks(){return this}},noop_span_context={traceId:"",
+spanId:"",traceFlags:0},{onMount}=svelte,untrack=untrack$1??(value=>value()),ICON_REL_ATTRIBUTES=new Set(["icon","shortcut icon","apple-touch-icon"]);let rendering_error=null;const scroll_positions=get$2(SCROLL_KEY)??{},snapshots=get$2(SNAPSHOT_KEY)??{},stores={url:notifiable_store({}),page:notifiable_store({}),navigating:writable(null),updated:create_updated_store()};function update_scroll_positions(index2){scroll_positions[index2]=scroll_state()}function clear_onward_history(current_history_index2,current_navigation_index2){
+let i=current_history_index2+1;for(;scroll_positions[i];)delete scroll_positions[i],i+=1;for(i=current_navigation_index2+1;snapshots[i];)delete snapshots[i],i+=1}function native_navigation(url2,replace2=!1){return replace2?location.replace(url2.href):location.href=url2.href,new Promise(noop$2)}async function update_service_worker(){if("serviceWorker"in navigator){const registration=await navigator.serviceWorker.getRegistration(base||"/");registration&&await registration.update()}}let routes,default_layout_loader,
+default_error_loader,container,target,app$1;const invalidated=[],components=[];let load_cache=null;function discard_load_cache(){load_cache?.fork?.then(f=>f?.discard()),load_cache=null}const reroute_cache=new Map,before_navigate_callbacks=new Set,on_navigate_callbacks=new Set,after_navigate_callbacks=new Set;let current={branch:[],error:null,url:null},hydrated=!1,started=!1,autoscroll=!0,is_navigating=!1,hash_navigating=!1,has_navigated=!1,force_invalidation=!1,root$1$,current_history_index,current_navigation_index,
+token;const preload_tokens=new Set,query_map=new Map;async function start$1(_app,_target,hydrate2){globalThis.__sveltekit__&&(globalThis.__sveltekit__.query,globalThis.__sveltekit__.prerender),document.URL!==location.href&&(location.href=location.href),app$1=_app,await _app.hooks.init?.(),routes=parse$5(_app),container=document.documentElement,target=_target,default_layout_loader=_app.nodes[0],default_error_loader=_app.nodes[1],default_layout_loader(),default_error_loader(),current_history_index=
+history.state?.[HISTORY_INDEX],current_navigation_index=history.state?.[NAVIGATION_INDEX],current_history_index||(current_history_index=current_navigation_index=Date.now(),history.replaceState({...history.state,[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index},""));const scroll=scroll_positions[current_history_index];function restore_scroll(){scroll&&(history.scrollRestoration="manual",scrollTo(scroll.x,scroll.y))}hydrate2?(restore_scroll(),await _hydrate(target,
+hydrate2)):(await navigate({type:"enter",url:resolve_url(app$1.hash?decode_hash(new URL(location.href)):location.href),replace_state:!0}),restore_scroll()),_start_router()}function reset_invalidation(){invalidated.length=0,force_invalidation=!1}function capture_snapshot(index2){components.some(c2=>c2?.snapshot)&&(snapshots[index2]=components.map(c2=>c2?.snapshot?.capture()))}function restore_snapshot(index2){snapshots[index2]?.forEach((value,i)=>{components[i]?.snapshot?.restore(value)})}function persist_state(){
+update_scroll_positions(current_history_index),set(SCROLL_KEY,scroll_positions),capture_snapshot(current_navigation_index),set(SNAPSHOT_KEY,snapshots)}async function _goto(url2,options,redirect_count,nav_token){let query_keys;options.invalidateAll&&discard_load_cache(),await navigate({type:"goto",url:resolve_url(url2),keepfocus:options.keepFocus,noscroll:options.noScroll,replace_state:options.replaceState,state:options.state,redirect_count,nav_token,accept:()=>{options.invalidateAll&&(force_invalidation=
+!0,query_keys=[],query_map.forEach((entries,id2)=>{for(const payload of entries.keys())query_keys.push(id2+"/"+payload)})),options.invalidate&&options.invalidate.forEach(push_invalidated)}}),options.invalidateAll&&tick().then(tick).then(()=>{query_map.forEach((entries,id2)=>{entries.forEach(({resource},payload)=>{query_keys?.includes(id2+"/"+payload)&&resource.refresh?.()})})})}async function _preload_data(intent){if(intent.id!==load_cache?.id){discard_load_cache();const preload2={};preload_tokens.
+add(preload2),load_cache={id:intent.id,token:preload2,promise:load_route({...intent,preload:preload2}).then(result=>(preload_tokens.delete(preload2),result.type==="loaded"&&result.state.error&&discard_load_cache(),result)),fork:null}}return load_cache.promise}async function _preload_code(url2){const route=(await get_navigation_intent(url2,!1))?.route;route&&await Promise.all([...route.layouts,route.leaf].filter(Boolean).map(load2=>load2[1]()))}async function initialize(result,target2,hydrate2){const nav={
+params:current.params,route:{id:current.route?.id??null},url:new URL(location.href)};current={...result.state,nav};const style2=document.querySelector("style[data-sveltekit]");if(style2&&style2.remove(),Object.assign(page$3,result.props.page),root$1$=new app$1.root({target:target2,props:{...result.props,stores,components},hydrate:hydrate2,sync:!1,transformError:void 0}),await Promise.resolve(),restore_snapshot(current_navigation_index),hydrate2){const navigation={from:null,to:{...nav,scroll:scroll_positions[current_history_index]??
+scroll_state()},willUnload:!1,type:"enter",complete:Promise.resolve()};after_navigate_callbacks.forEach(fn=>fn(navigation))}started=!0}async function get_navigation_result_from_branch({url:url2,params,branch:branch2,errors:errors2,status,error:error2,route,form}){let slash="never";if(base&&(url2.pathname===base||url2.pathname===base+"/"))slash="always";else for(const node2 of branch2)node2?.slash!==void 0&&(slash=node2.slash);url2.pathname=normalize_path(url2.pathname,slash),url2.search=url2.search;
+const result={type:"loaded",state:{url:url2,params,branch:branch2,error:error2,route},props:{constructors:compact(branch2).map(branch_node=>branch_node.node.component),page:clone_page(page$3)}};form!==void 0&&(result.props.form=form);let data={},data_changed=!page$3,p2=0;for(let i=0;i<Math.max(branch2.length,current.branch.length);i+=1){const node2=branch2[i],prev2=current.branch[i];node2?.data!==prev2?.data&&(data_changed=!0),node2&&(data={...data,...node2.data},data_changed&&(result.props[`dat\
+a_${p2}`]=data),p2+=1)}return(!current.url||url2.href!==current.url.href||current.error!==error2||form!==void 0&&form!==page$3.form||data_changed)&&(result.props.page={error:error2,params,route:{id:route?.id??null},state:{},status,url:new URL(url2),form:form??null,data:data_changed?data:page$3.data}),result}async function load_node({loader,parent,url:url2,params,route,server_data_node}){let data=null,is_tracking=!0;const uses={dependencies:new Set,params:new Set,parent:!1,route:!1,url:!1,search_params:new Set},
+node2=await loader();if(node2.universal?.load){let depends=function(...deps){for(const dep of deps){const{href}=new URL(dep,url2);uses.dependencies.add(href)}};const load_input={tracing:{enabled:!1,root:noop_span,current:noop_span},route:new Proxy(route,{get:(target2,key2)=>(is_tracking&&(uses.route=!0),target2[key2])}),params:new Proxy(params,{get:(target2,key2)=>(is_tracking&&uses.params.add(key2),target2[key2])}),data:server_data_node?.data??null,url:make_trackable(url2,()=>{is_tracking&&(uses.
+url=!0)},param=>{is_tracking&&uses.search_params.add(param)},app$1.hash),async fetch(resource,init2){resource instanceof Request&&(init2={body:resource.method==="GET"||resource.method==="HEAD"?void 0:await resource.blob(),cache:resource.cache,credentials:resource.credentials,headers:[...resource.headers].length>0?resource?.headers:void 0,integrity:resource.integrity,keepalive:resource.keepalive,method:resource.method,mode:resource.mode,redirect:resource.redirect,referrer:resource.referrer,referrerPolicy:resource.
+referrerPolicy,signal:resource.signal,...init2});const{resolved,promise}=resolve_fetch_url(resource,init2,url2);return is_tracking&&depends(resolved.href),promise},setHeaders:noop$2,depends,parent(){return is_tracking&&(uses.parent=!0),parent()},untrack(fn){is_tracking=!1;try{return fn()}finally{is_tracking=!0}}};data=await node2.universal.load.call(null,load_input)??null}return{node:node2,loader,server:server_data_node,universal:node2.universal?.load?{type:"data",data,uses}:null,data:data??server_data_node?.
+data??null,slash:node2.universal?.trailingSlash??server_data_node?.slash}}function resolve_fetch_url(input,init2,url2){let requested=input instanceof Request?input.url:input;const resolved=new URL(requested,url2);resolved.origin===url2.origin&&(requested=resolved.href.slice(url2.origin.length));const promise=started?subsequent_fetch(requested,resolved.href,init2):initial_fetch(requested,init2);return{resolved,promise}}function has_changed(parent_changed,route_changed,url_changed,search_params_changed,uses,params){
+if(force_invalidation)return!0;if(!uses)return!1;if(uses.parent&&parent_changed||uses.route&&route_changed||uses.url&&url_changed)return!0;for(const tracked_params of uses.search_params)if(search_params_changed.has(tracked_params))return!0;for(const param of uses.params)if(params[param]!==current.params[param])return!0;for(const href of uses.dependencies)if(invalidated.some(fn=>fn(new URL(href))))return!0;return!1}function create_data_node(node2,previous2){return node2?.type==="data"?node2:node2?.
+type==="skip"?previous2??null:null}function diff_search_params(old_url,new_url){if(!old_url)return new Set(new_url.searchParams.keys());const changed=new Set([...old_url.searchParams.keys(),...new_url.searchParams.keys()]);for(const key2 of changed){const old_values2=old_url.searchParams.getAll(key2),new_values=new_url.searchParams.getAll(key2);old_values2.every(value=>new_values.includes(value))&&new_values.every(value=>old_values2.includes(value))&&changed.delete(key2)}return changed}function preload_error({
+error:error2,url:url2,route,params}){return{type:"loaded",state:{error:error2,url:url2,route,params,branch:[]},props:{page:clone_page(page$3),constructors:[]}}}async function load_route({id:id2,invalidating,url:url2,params,route,preload:preload2}){if(load_cache?.id===id2)return preload_tokens.delete(load_cache.token),load_cache.promise;const{errors:errors2,layouts,leaf:leaf2}=route,loaders=[...layouts,leaf2];errors2.forEach(loader=>loader?.().catch(noop$2)),loaders.forEach(loader=>loader?.[1]().
+catch(noop$2));const url_changed=current.url?id2!==get_page_key(current.url):!1,route_changed=current.route?route.id!==current.route.id:!1,search_params_changed=diff_search_params(current.url,url2);let parent_changed=!1;const branch_promises=loaders.map(async(loader,i)=>{if(!loader)return;const previous2=current.branch[i];return loader[1]===previous2?.loader&&!has_changed(parent_changed,route_changed,url_changed,search_params_changed,previous2.universal?.uses,params)?previous2:(parent_changed=!0,
+load_node({loader:loader[1],url:url2,params,route,parent:async()=>{const data={};for(let j=0;j<i;j+=1)Object.assign(data,(await branch_promises[j])?.data);return data},server_data_node:create_data_node(loader[0]?{type:"skip"}:null,loader[0]?previous2?.server:void 0)}))});for(const p2 of branch_promises)p2.catch(noop$2);const branch2=[];for(let i=0;i<loaders.length;i+=1)if(loaders[i])try{branch2.push(await branch_promises[i])}catch(err){if(err instanceof Redirect)return{type:"redirect",location:err.
+location};if(preload_tokens.has(preload2))return preload_error({error:await handle_error(err,{params,url:url2,route:{id:route.id}}),url:url2,params,route});let status=get_status(err),error2;if(err instanceof HttpError)error2=err.body;else{if(await stores.updated.check())return await update_service_worker(),await native_navigation(url2);error2=await handle_error(err,{params,url:url2,route:{id:route.id}})}const error_load=await load_nearest_error_page(i,branch2,errors2);return error_load?get_navigation_result_from_branch(
+{url:url2,params,branch:branch2.slice(0,error_load.idx).concat(error_load.node),errors:errors2,status,error:error2,route}):await server_fallback(url2,{id:route.id},error2,status)}else branch2.push(void 0);return get_navigation_result_from_branch({url:url2,params,branch:branch2,errors:errors2,status:200,error:null,route,form:invalidating?void 0:null})}async function load_nearest_error_page(i,branch2,errors2){for(;i--;)if(errors2[i]){let j=i;for(;!branch2[j];)j-=1;try{return{idx:j+1,node:{node:await errors2[i](),
+loader:errors2[i],data:{},server:null,universal:null}}}catch{continue}}}async function load_root_error_page({status,error:error2,url:url2,route}){const params={};let server_data_node=null;try{const root_layout=await load_node({loader:default_layout_loader,url:url2,params,route,parent:()=>Promise.resolve({}),server_data_node:create_data_node(server_data_node)}),root_error={node:await default_error_loader(),loader:default_error_loader,universal:null,server:null,data:null};return get_navigation_result_from_branch(
+{url:url2,params,branch:[root_layout,root_error],status,error:error2,errors:[],route:null})}catch(error22){if(error22 instanceof Redirect)return _goto(new URL(error22.location,location.href),{},0);throw error22}}async function get_rerouted_url(url2){const href=url2.href;if(reroute_cache.has(href))return reroute_cache.get(href);let rerouted;try{const promise=(async()=>{let rerouted2=await app$1.hooks.reroute({url:new URL(url2),fetch:async(input,init2)=>resolve_fetch_url(input,init2,url2).promise})??
+url2;if(typeof rerouted2=="string"){const tmp=new URL(url2);app$1.hash?tmp.hash=rerouted2:tmp.pathname=rerouted2,rerouted2=tmp}return rerouted2})();reroute_cache.set(href,promise),rerouted=await promise}catch{reroute_cache.delete(href);return}return rerouted}async function get_navigation_intent(url2,invalidating){if(url2&&!is_external_url(url2,base,app$1.hash)){const rerouted=await get_rerouted_url(url2);if(!rerouted)return;const path2=get_url_path(rerouted);for(const route of routes){const params=route.
+exec(path2);if(params)return{id:get_page_key(url2),invalidating,route,params:decode_params(params),url:url2}}}}function get_url_path(url2){return decode_pathname(app$1.hash?url2.hash.replace(/^#/,"").replace(/[?#].+/,""):url2.pathname.slice(base.length))||"/"}function get_page_key(url2){return(app$1.hash?url2.hash.replace(/^#/,""):url2.pathname)+url2.search}function _before_navigate({url:url2,type:type2,intent,delta,event:event2,scroll}){let should_block=!1;const nav=create_navigation(current,intent,
+url2,type2,scroll??null);delta!==void 0&&(nav.navigation.delta=delta),event2!==void 0&&(nav.navigation.event=event2);const cancellable={...nav.navigation,cancel:()=>{should_block=!0,nav.reject(new Error("navigation cancelled"))}};return is_navigating||before_navigate_callbacks.forEach(fn=>fn(cancellable)),should_block?null:nav}async function navigate({type:type2,url:url2,popped,keepfocus,noscroll,replace_state,state:state2={},redirect_count=0,nav_token={},accept=noop$2,block:block2=noop$2,event:event2}){
+const prev_token=token;token=nav_token;const intent=await get_navigation_intent(url2,!1),nav=type2==="enter"?create_navigation(current,intent,url2,type2):_before_navigate({url:url2,type:type2,delta:popped?.delta,intent,scroll:popped?.scroll,event:event2});if(!nav){block2(),token===nav_token&&(token=prev_token);return}const previous_history_index=current_history_index,previous_navigation_index=current_navigation_index;accept(),is_navigating=!0,started&&nav.navigation.type!=="enter"&&stores.navigating.
+set(navigating.current=nav.navigation);let navigation_result=intent&&await load_route(intent);if(!navigation_result){if(is_external_url(url2,base,app$1.hash))return await native_navigation(url2,replace_state);navigation_result=await server_fallback(url2,{id:null},await handle_error(new SvelteKitError(404,"Not Found",`Not found: ${url2.pathname}`),{url:url2,params:{},route:{id:null}}),404,replace_state)}if(url2=intent?.url||url2,token!==nav_token)return nav.reject(new Error("navigation aborted")),
+!1;if(navigation_result.type==="redirect"){if(redirect_count<20){await navigate({type:type2,url:new URL(navigation_result.location,url2),popped,keepfocus,noscroll,replace_state,state:state2,redirect_count:redirect_count+1,nav_token}),nav.fulfil(void 0);return}navigation_result=await load_root_error_page({status:500,error:await handle_error(new Error("Redirect loop"),{url:url2,params:{},route:{id:null}}),url:url2,route:{id:null}})}else navigation_result.props.page.status>=400&&await stores.updated.
+check()&&(await update_service_worker(),await native_navigation(url2,replace_state));if(reset_invalidation(),update_scroll_positions(previous_history_index),capture_snapshot(previous_navigation_index),navigation_result.props.page.url.pathname!==url2.pathname&&(url2.pathname=navigation_result.props.page.url.pathname),state2=popped?popped.state:state2,!popped){const change=replace_state?0:1,entry={[HISTORY_INDEX]:current_history_index+=change,[NAVIGATION_INDEX]:current_navigation_index+=change,[STATES_KEY]:state2};
+(replace_state?history.replaceState:history.pushState).call(history,entry,"",url2),replace_state||clear_onward_history(current_history_index,current_navigation_index)}const load_cache_fork=intent&&load_cache?.id===intent.id?load_cache.fork:null;load_cache?.fork&&!load_cache_fork&&discard_load_cache(),load_cache=null,navigation_result.props.page.state=state2;let commit_promise;if(started){const after_navigate=(await Promise.all(Array.from(on_navigate_callbacks,fn=>fn(nav.navigation)))).filter(value=>typeof value==
+"function");if(after_navigate.length>0){let cleanup=function(){after_navigate.forEach(fn=>{after_navigate_callbacks.delete(fn)})};after_navigate.push(cleanup),after_navigate.forEach(fn=>{after_navigate_callbacks.add(fn)})}const target2=nav.navigation.to;current={...navigation_result.state,nav:{params:target2.params,route:target2.route,url:target2.url}},navigation_result.props.page&&(navigation_result.props.page.url=url2);const fork=load_cache_fork&&await load_cache_fork;fork?commit_promise=fork.
+commit():(rendering_error=null,root$1$.$set(navigation_result.props),rendering_error&&Object.assign(navigation_result.props.page,rendering_error),update(navigation_result.props.page),commit_promise=settled?.()),has_navigated=!0}else await initialize(navigation_result,target,!1);const{activeElement}=document;await commit_promise,await tick(),await tick();let deep_linked=null;if(autoscroll){const scroll=popped?popped.scroll:noscroll?scroll_state():null;scroll?scrollTo(scroll.x,scroll.y):(deep_linked=
+url2.hash&&document.getElementById(get_id(url2)))?deep_linked.scrollIntoView():scrollTo(0,0)}const changed_focus=document.activeElement!==activeElement&&document.activeElement!==document.body;!keepfocus&&!changed_focus&&reset_focus(url2,!deep_linked),autoscroll=!0,navigation_result.props.page&&(rendering_error&&Object.assign(navigation_result.props.page,rendering_error),Object.assign(page$3,navigation_result.props.page)),is_navigating=!1,type2==="popstate"&&restore_snapshot(current_navigation_index),
+nav.fulfil(void 0),nav.navigation.to&&(nav.navigation.to.scroll=scroll_state()),after_navigate_callbacks.forEach(fn=>fn(nav.navigation)),stores.navigating.set(navigating.current=null)}async function server_fallback(url2,route,error2,status,replace_state){return url2.origin===origin&&url2.pathname===location.pathname&&!hydrated?await load_root_error_page({status,error:error2,url:url2,route}):await native_navigation(url2,replace_state)}function setup_preload(){let mousemove_timeout,current_a={element:void 0,
+href:void 0},current_priority;container.addEventListener("mousemove",event2=>{const target2=event2.target;clearTimeout(mousemove_timeout),mousemove_timeout=setTimeout(()=>{preload2(target2,PRELOAD_PRIORITIES.hover)},20)});function tap2(event2){event2.defaultPrevented||preload2(event2.composedPath()[0],PRELOAD_PRIORITIES.tap)}container.addEventListener("mousedown",tap2),container.addEventListener("touchstart",tap2,{passive:!0});const observer=new IntersectionObserver(entries=>{for(const entry of entries)
+entry.isIntersecting&&(_preload_code(new URL(entry.target.href)),observer.unobserve(entry.target))},{threshold:0});async function preload2(element2,priority){const a=find_anchor(element2,container),interacted=a===current_a.element&&a?.href===current_a.href&&priority>=current_priority;if(!a||interacted)return;const{url:url2,external,download}=get_link_info(a,base,app$1.hash);if(external||download)return;const options=get_router_options(a),same_url=url2&&get_page_key(current.url)===get_page_key(url2);
+if(!(options.reload||same_url))if(priority<=options.preload_data){current_a={element:a,href:a.href},current_priority=PRELOAD_PRIORITIES.tap;const intent=await get_navigation_intent(url2,!1);if(!intent)return;_preload_data(intent)}else priority<=options.preload_code&&(current_a={element:a,href:a.href},current_priority=priority,_preload_code(url2))}function after_navigate(){observer.disconnect();for(const a of container.querySelectorAll("a")){const{url:url2,external,download}=get_link_info(a,base,
+app$1.hash);if(external||download)continue;const options=get_router_options(a);options.reload||(options.preload_code===PRELOAD_PRIORITIES.viewport&&observer.observe(a),options.preload_code===PRELOAD_PRIORITIES.eager&&_preload_code(url2))}}after_navigate_callbacks.add(after_navigate),after_navigate()}function handle_error(error2,event2){if(error2 instanceof HttpError)return error2.body;const status=get_status(error2),message=get_message(error2);return app$1.hooks.handleError({error:error2,event:event2,
+status,message})??{message}}function add_navigation_callback(callbacks,callback){onMount(()=>(callbacks.add(callback),()=>{callbacks.delete(callback)}))}function afterNavigate(callback){add_navigation_callback(after_navigate_callbacks,callback)}function beforeNavigate(callback){add_navigation_callback(before_navigate_callbacks,callback)}function goto(url2,opts={}){return url2=new URL(resolve_url(url2)),url2.origin!==origin?Promise.reject(new Error("goto: invalid URL")):_goto(url2,opts,0)}function push_invalidated(resource){
+if(typeof resource=="function")invalidated.push(resource);else{const{href}=new URL(resource,location.href);invalidated.push(url2=>url2.href===href)}}function replaceState(url2,state2){const opts={[HISTORY_INDEX]:current_history_index,[NAVIGATION_INDEX]:current_navigation_index,[PAGE_URL_KEY]:page$3.url.href,[STATES_KEY]:state2};history.replaceState(opts,"",resolve_url(url2)),page$3.state=state2,root$1$.$set({page:untrack(()=>clone_page(page$3))})}function _start_router(){history.scrollRestoration=
+"manual",addEventListener("beforeunload",e=>{let should_block=!1;if(persist_state(),!is_navigating){const nav=create_navigation(current,void 0,null,"leave"),navigation={...nav.navigation,cancel:()=>{should_block=!0,nav.reject(new Error("navigation cancelled"))}};before_navigate_callbacks.forEach(fn=>fn(navigation))}should_block?(e.preventDefault(),e.returnValue=""):history.scrollRestoration="auto"}),addEventListener("visibilitychange",()=>{document.visibilityState==="hidden"&&persist_state()}),navigator.
+connection?.saveData||setup_preload(),container.addEventListener("click",async event2=>{if(event2.button||event2.which!==1||event2.metaKey||event2.ctrlKey||event2.shiftKey||event2.altKey||event2.defaultPrevented)return;const a=find_anchor(event2.composedPath()[0],container);if(!a)return;const{url:url2,external,target:target2,download}=get_link_info(a,base,app$1.hash);if(!url2)return;if(target2==="_parent"||target2==="_top"){if(window.parent!==window)return}else if(target2&&target2!=="_self")return;
+const options=get_router_options(a);if(!(a instanceof SVGAElement)&&url2.protocol!==location.protocol&&!(url2.protocol==="https:"||url2.protocol==="http:")||download)return;const[nonhash,hash2]=(app$1.hash?url2.hash.replace(/^#/,""):url2.href).split("#"),same_pathname=nonhash===strip_hash(location);if(external||options.reload&&(!same_pathname||!hash2)){_before_navigate({url:url2,type:"link",event:event2})?is_navigating=!0:event2.preventDefault();return}if(hash2!==void 0&&same_pathname){const[,current_hash]=current.
+url.href.split("#");if(current_hash===hash2){if(event2.preventDefault(),hash2===""||hash2==="top"&&a.ownerDocument.getElementById("top")===null)scrollTo({top:0});else{const element2=a.ownerDocument.getElementById(decodeURIComponent(hash2));element2&&(element2.scrollIntoView(),element2.focus())}return}if(hash_navigating=!0,update_scroll_positions(current_history_index),update_url(url2),!options.replace_state)return;hash_navigating=!1}event2.preventDefault(),await new Promise(fulfil=>{requestAnimationFrame(
+()=>{setTimeout(fulfil,0)}),setTimeout(fulfil,100)}),await navigate({type:"link",url:url2,keepfocus:options.keepfocus,noscroll:options.noscroll,replace_state:options.replace_state??url2.href===location.href,event:event2})}),container.addEventListener("submit",event2=>{if(event2.defaultPrevented)return;const form=HTMLFormElement.prototype.cloneNode.call(event2.target),submitter=event2.submitter;if((submitter?.formTarget||form.target)==="_blank"||(submitter?.formMethod||form.method)!=="get")return;
+const url2=new URL(submitter?.hasAttribute("formaction")&&submitter?.formAction||form.action);if(is_external_url(url2,base,!1))return;const event_form=event2.target,options=get_router_options(event_form);if(options.reload)return;event2.preventDefault(),event2.stopPropagation();const data=new FormData(event_form,submitter);url2.search=new URLSearchParams(data).toString(),navigate({type:"form",url:url2,keepfocus:options.keepfocus,noscroll:options.noscroll,replace_state:options.replace_state??url2.
+href===location.href,event:event2})}),addEventListener("popstate",async event2=>{if(!resetting_focus){if(event2.state?.[HISTORY_INDEX]){const history_index=event2.state[HISTORY_INDEX];if(token={},history_index===current_history_index)return;const scroll=scroll_positions[history_index],state2=event2.state[STATES_KEY]??{},url2=new URL(event2.state[PAGE_URL_KEY]??location.href),navigation_index=event2.state[NAVIGATION_INDEX],is_hash_change=current.url?strip_hash(location)===strip_hash(current.url):
+!1;if(navigation_index===current_navigation_index&&(has_navigated||is_hash_change)){state2!==page$3.state&&(page$3.state=state2),update_url(url2),scroll_positions[current_history_index]=scroll_state(),scroll&&scrollTo(scroll.x,scroll.y),current_history_index=history_index;return}const delta=history_index-current_history_index;await navigate({type:"popstate",url:url2,popped:{state:state2,scroll,delta},accept:()=>{current_history_index=history_index,current_navigation_index=navigation_index},block:()=>{
+history.go(-delta)},nav_token:token,event:event2})}else if(!hash_navigating){const url2=new URL(location.href);update_url(url2),app$1.hash&&location.reload()}}}),addEventListener("hashchange",()=>{hash_navigating&&(hash_navigating=!1,history.replaceState({...history.state,[HISTORY_INDEX]:++current_history_index,[NAVIGATION_INDEX]:current_navigation_index},"",location.href))});for(const link2 of document.querySelectorAll("link"))ICON_REL_ATTRIBUTES.has(link2.rel)&&(link2.href=link2.href);addEventListener(
+"pageshow",event2=>{event2.persisted&&stores.navigating.set(navigating.current=null)});function update_url(url2){current.url=page$3.url=url2,stores.page.set(clone_page(page$3)),stores.page.notify()}}async function _hydrate(target2,{status=200,error:error2,node_ids,params,route,server_route,data:server_data_nodes,form}){hydrated=!0;const url2=new URL(location.href);let parsed_route;({params={},route={id:null}}=await get_navigation_intent(url2,!1)||{}),parsed_route=routes.find(({id:id2})=>id2===route.
+id);let result,hydrate2=!0;try{const branch_promises=node_ids.map(async(n,i)=>{const server_data_node=server_data_nodes[i];return server_data_node?.uses&&(server_data_node.uses=deserialize_uses(server_data_node.uses)),load_node({loader:app$1.nodes[n],url:url2,params,route,parent:async()=>{const data={};for(let j=0;j<i;j+=1)Object.assign(data,(await branch_promises[j]).data);return data},server_data_node:create_data_node(server_data_node)})}),branch2=await Promise.all(branch_promises);if(parsed_route){
+const layouts=parsed_route.layouts;for(let i=0;i<layouts.length;i++)layouts[i]||branch2.splice(i,0,void 0)}result=await get_navigation_result_from_branch({url:url2,params,branch:branch2,status,error:error2,errors:parsed_route?.errors,form,route:parsed_route??null})}catch(error22){if(error22 instanceof Redirect){await native_navigation(new URL(error22.location,location.href));return}result=await load_root_error_page({status:get_status(error22),error:await handle_error(error22,{url:url2,params,route}),
+url:url2,route}),target2.textContent="",hydrate2=!1}result.props.page&&(result.props.page.state={}),await initialize(result,target2,hydrate2)}function deserialize_uses(uses){return{dependencies:new Set(uses?.dependencies??[]),params:new Set(uses?.params??[]),parent:!!uses?.parent,route:!!uses?.route,url:!!uses?.url,search_params:new Set(uses?.search_params??[])}}let resetting_focus=!1;function reset_focus(url2,scroll=!0){const autofocus2=document.querySelector("[autofocus]");if(autofocus2)autofocus2.
+focus();else{const id2=get_id(url2);if(id2&&document.getElementById(id2)){const{x,y}=scroll_state();setTimeout(()=>{const history_state=history.state;resetting_focus=!0,location.replace(new URL(`#${id2}`,location.href)),history.replaceState(history_state,"",url2),scroll&&scrollTo(x,y),resetting_focus=!1})}else{const root2=document.body,tabindex=root2.getAttribute("tabindex");root2.tabIndex=-1,root2.focus({preventScroll:!0,focusVisible:!1}),tabindex!==null?root2.setAttribute("tabindex",tabindex):
+root2.removeAttribute("tabindex")}const selection=getSelection();if(selection&&selection.type!=="None"){const ranges=[];for(let i=0;i<selection.rangeCount;i+=1)ranges.push(selection.getRangeAt(i));setTimeout(()=>{if(selection.rangeCount===ranges.length){for(let i=0;i<selection.rangeCount;i+=1){const a=ranges[i],b=selection.getRangeAt(i);if(a.commonAncestorContainer!==b.commonAncestorContainer||a.startContainer!==b.startContainer||a.endContainer!==b.endContainer||a.startOffset!==b.startOffset||a.
+endOffset!==b.endOffset)return}selection.removeAllRanges()}})}}}function create_navigation(current2,intent,url2,type2,target_scroll=null){let fulfil,reject;const complete=new Promise((f,r2)=>{fulfil=f,reject=r2});return complete.catch(noop$2),{navigation:{from:{params:current2.params,route:{id:current2.route?.id??null},url:current2.url,scroll:scroll_state()},to:url2&&{params:intent?.params??null,route:{id:intent?.route?.id??null},url:url2,scroll:target_scroll},willUnload:!intent,type:type2,complete},
+fulfil,reject}}function clone_page(page2){return{data:page2.data,error:page2.error,form:page2.form,params:page2.params,route:page2.route,state:page2.state,status:page2.status,url:page2.url}}function decode_hash(url2){const new_url=new URL(url2);return new_url.hash=decodeURIComponent(url2.hash),new_url}function get_id(url2){let id2;if(app$1.hash){const[,,second]=url2.hash.split("#",3);id2=second??""}else id2=url2.hash.slice(1);return decodeURIComponent(id2)}const scriptRel="modulepreload",assetsURL=function(dep,importerUrl){
+return new URL(dep,importerUrl).href},seen={},__vitePreload=function(baseModule,deps,importerUrl){let promise=Promise.resolve();if(deps&&deps.length>0){let allSettled=function(promises$2){return Promise.all(promises$2.map(p2=>Promise.resolve(p2).then(value$1=>({status:"fulfilled",value:value$1}),reason=>({status:"rejected",reason}))))};const links=document.getElementsByTagName("link"),cspNonceMeta=document.querySelector("meta[property=csp-nonce]"),cspNonce=cspNonceMeta?.nonce||cspNonceMeta?.getAttribute(
+"nonce");promise=allSettled(deps.map(dep=>{if(dep=assetsURL(dep,importerUrl),dep in seen)return;seen[dep]=!0;const isCss=dep.endsWith(".css"),cssSelector=isCss?'[rel="stylesheet"]':"";if(importerUrl)for(let i$1=links.length-1;i$1>=0;i$1--){const link$12=links[i$1];if(link$12.href===dep&&(!isCss||link$12.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${dep}"]${cssSelector}`))return;const link2=document.createElement("link");if(link2.rel=isCss?"stylesheet":scriptRel,isCss||(link2.
+as="script"),link2.crossOrigin="",link2.href=dep,cspNonce&&link2.setAttribute("nonce",cspNonce),document.head.appendChild(link2),isCss)return new Promise((res,rej)=>{link2.addEventListener("load",res),link2.addEventListener("error",()=>rej(new Error(`Unable to preload CSS for ${dep}`)))})}))}function handlePreloadError(err$2){const e$1=new Event("vite:preloadError",{cancelable:!0});if(e$1.payload=err$2,window.dispatchEvent(e$1),!e$1.defaultPrevented)throw err$2}return promise.then(res=>{for(const item of res||
+[])item.status==="rejected"&&handlePreloadError(item.reason);return baseModule().catch(handlePreloadError)})},matchers={},PUBLIC_VERSION="5";typeof window<"u"&&((window.__svelte??={}).v??=new Set).add(PUBLIC_VERSION);var root_7$w=from_html('<div id="svelte-announcer" aria-live="assertive" aria-atomic="true" style="position: absolute; left: 0; top: 0; clip: rect(0 0 0 0); clip-path: inset(50%); overflow: hidden; white-space: nowrap; width: 1px; height: 1px"><!></div>'),root$1_=from_html("<!> <!>",
+1);function Root$6($$anchor,$$props){push$1($$props,!0);let components2=prop($$props,"components",23,()=>[]),data_0=prop($$props,"data_0",3,null),data_1=prop($$props,"data_1",3,null),data_2=prop($$props,"data_2",3,null);user_pre_effect(()=>$$props.stores.page.set($$props.page)),user_effect(()=>{$$props.stores,$$props.page,$$props.constructors,components2(),$$props.form,data_0(),data_1(),data_2(),$$props.stores.page.notify()});let mounted=state$1(!1),navigated=state$1(!1),title2=state$1(null);onMount$1(
+()=>{const unsubscribe=$$props.stores.page.subscribe(()=>{get$3(mounted)&&(set$1(navigated,!0),tick().then(()=>{set$1(title2,document.title||"untitled page",!0)}))});return set$1(mounted,!0),unsubscribe});const Pyramid_2=user_derived(()=>$$props.constructors[2]);var fragment=root$1_(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>get$3(Pyramid_0),($$anchor3,Pyramid_0_1)=>{
+bind_this(Pyramid_0_1($$anchor3,{get data(){return data_0()},get form(){return $$props.form},get params(){return $$props.page.params},children:($$anchor4,$$slotProps)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{const Pyramid_1=user_derived(()=>$$props.constructors[1]);var fragment_3=comment$2(),node_3=first_child(fragment_3);component(node_3,()=>get$3(Pyramid_1),($$anchor6,Pyramid_1_1)=>{bind_this(Pyramid_1_1($$anchor6,{get data(){return data_1()},get form(){
+return $$props.form},get params(){return $$props.page.params},children:($$anchor7,$$slotProps2)=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>get$3(Pyramid_2),($$anchor8,Pyramid_2_1)=>{bind_this(Pyramid_2_1($$anchor8,{get data(){return data_2()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[2]=$$value,()=>components2()?.[2])}),append($$anchor7,fragment_4)},$$slots:{default:!0}}),$$value=>components2()[1]=$$value,
+()=>components2()?.[1])}),append($$anchor5,fragment_3)},alternate=$$anchor5=>{const Pyramid_1=user_derived(()=>$$props.constructors[1]);var fragment_5=comment$2(),node_5=first_child(fragment_5);component(node_5,()=>get$3(Pyramid_1),($$anchor6,Pyramid_1_2)=>{bind_this(Pyramid_1_2($$anchor6,{get data(){return data_1()},get form(){return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[1]=$$value,()=>components2()?.[1])}),append($$anchor5,fragment_5)};if_block(node_2,
+$$render=>{$$props.constructors[2]?$$render(consequent):$$render(alternate,-1)})}append($$anchor4,fragment_2)},$$slots:{default:!0}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{const Pyramid_0=user_derived(()=>$$props.constructors[0]);var fragment_6=comment$2(),node_6=first_child(fragment_6);component(node_6,()=>get$3(Pyramid_0),($$anchor3,Pyramid_0_2)=>{bind_this(Pyramid_0_2($$anchor3,{get data(){return data_0()},get form(){
+return $$props.form},get params(){return $$props.page.params}}),$$value=>components2()[0]=$$value,()=>components2()?.[0])}),append($$anchor2,fragment_6)};if_block(node2,$$render=>{$$props.constructors[1]?$$render(consequent_1):$$render(alternate_1,-1)})}var node_7=sibling(node2,2);{var consequent_3=$$anchor2=>{var div=root_7$w(),node_8=child(div);{var consequent_2=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,get$3(title2))),append($$anchor3,text2)};if_block(node_8,$$render=>{
+get$3(navigated)&&$$render(consequent_2)})}reset(div),append($$anchor2,div)};if_block(node_7,$$render=>{get$3(mounted)&&$$render(consequent_3)})}append($$anchor,fragment),pop()}const root$1Z=asClassComponent(Root$6),nodes=[()=>__vitePreload(()=>Promise.resolve().then(()=>_0),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_1),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_2),void 0,import.meta.url),()=>__vitePreload(
+()=>Promise.resolve().then(()=>_3),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_4),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_5),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_6),void 0,import.meta.url),()=>__vitePreload(()=>Promise.resolve().then(()=>_7),void 0,import.meta.url)],server_loads=[],dictionary={"/(chat)":[4,[2]],"/(chat)/chat/[id]":[5,[2]],"/settin\
+gs/chat/[section]":[6,[3]],"/settings/mcp":[7,[3]]},hooks={handleError:(({error:error2})=>{console.error(error2)}),reroute:(()=>{}),transport:{}},decoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.decode])),encoders=Object.fromEntries(Object.entries(hooks.transport).map(([k,v])=>[k,v.encode])),hash=!0,decode$2=(type2,value)=>decoders[type2](value),app=Object.freeze(Object.defineProperty({__proto__:null,decode:decode$2,decoders,dictionary,encoders,hash,hooks,matchers,nodes,
+root:root$1Z,server_loads},Symbol.toStringTag,{value:"Module"}));function start(element2,options){start$1(app,element2,options)}const page$2={get params(){return page$3.params},get route(){return page$3.route},get status(){return page$3.status},get url(){return page$3.url}};stores.updated.check;const page$1=page$2,linear=x=>x;function cubic_out(t){const f=t-1;return f*f*f+1}function split_css_unit(value){const split=typeof value=="string"&&value.match(/^\s*(-?[\d.]+)([^\s]*)\s*$/);return split?[
+parseFloat(split[1]),split[2]||"px"]:[value,"px"]}function fade(node2,{delay=0,duration:duration2=400,easing=linear}={}){const o=+getComputedStyle(node2).opacity;return{delay,duration:duration2,easing,css:t=>`opacity: ${t*o}`}}function fly(node2,{delay=0,duration:duration2=400,easing=cubic_out,x=0,y=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,od=target_opacity*(1-opacity),[x_value,x_unit]=split_css_unit(
+x),[y_value,y_unit]=split_css_unit(y);return{delay,duration:duration2,easing,css:(t,u)=>`
+			transform: ${transform2} translate(${(1-t)*x_value}${x_unit}, ${(1-t)*y_value}${y_unit});
+			opacity: ${target_opacity-od*u}`}}function scale(node2,{delay=0,duration:duration2=400,easing=cubic_out,start:start2=0,opacity=0}={}){const style2=getComputedStyle(node2),target_opacity=+style2.opacity,transform2=style2.transform==="none"?"":style2.transform,sd=1-start2,od=target_opacity*(1-opacity);return{delay,duration:duration2,easing,css:(_t,u)=>`
+			transform: ${transform2} scale(${1-sd*u});
+			opacity: ${target_opacity-od*u}
+		`}}const CLASS_PART_SEPARATOR="-",createClassGroupUtils=config2=>{const classMap=createClassMap(config2),{conflictingClassGroups,conflictingClassGroupModifiers}=config2;return{getClassGroupId:className=>{const classParts=className.split(CLASS_PART_SEPARATOR);return classParts[0]===""&&classParts.length!==1&&classParts.shift(),getGroupRecursive(classParts,classMap)||getGroupIdForArbitraryProperty(className)},getConflictingClassGroupIds:(classGroupId,hasPostfixModifier)=>{const conflicts=conflictingClassGroups[classGroupId]||
+[];return hasPostfixModifier&&conflictingClassGroupModifiers[classGroupId]?[...conflicts,...conflictingClassGroupModifiers[classGroupId]]:conflicts}}},getGroupRecursive=(classParts,classPartObject)=>{if(classParts.length===0)return classPartObject.classGroupId;const currentClassPart=classParts[0],nextClassPartObject=classPartObject.nextPart.get(currentClassPart),classGroupFromNextClassPart=nextClassPartObject?getGroupRecursive(classParts.slice(1),nextClassPartObject):void 0;if(classGroupFromNextClassPart)
+return classGroupFromNextClassPart;if(classPartObject.validators.length===0)return;const classRest=classParts.join(CLASS_PART_SEPARATOR);return classPartObject.validators.find(({validator})=>validator(classRest))?.classGroupId},arbitraryPropertyRegex=/^\[(.+)\]$/,getGroupIdForArbitraryProperty=className=>{if(arbitraryPropertyRegex.test(className)){const arbitraryPropertyClassName=arbitraryPropertyRegex.exec(className)[1],property=arbitraryPropertyClassName?.substring(0,arbitraryPropertyClassName.
+indexOf(":"));if(property)return"arbitrary.."+property}},createClassMap=config2=>{const{theme,classGroups}=config2,classMap={nextPart:new Map,validators:[]};for(const classGroupId in classGroups)processClassesRecursively(classGroups[classGroupId],classMap,classGroupId,theme);return classMap},processClassesRecursively=(classGroup,classPartObject,classGroupId,theme)=>{classGroup.forEach(classDefinition=>{if(typeof classDefinition=="string"){const classPartObjectToEdit=classDefinition===""?classPartObject:
+getPart(classPartObject,classDefinition);classPartObjectToEdit.classGroupId=classGroupId;return}if(typeof classDefinition=="function"){if(isThemeGetter(classDefinition)){processClassesRecursively(classDefinition(theme),classPartObject,classGroupId,theme);return}classPartObject.validators.push({validator:classDefinition,classGroupId});return}Object.entries(classDefinition).forEach(([key2,classGroup2])=>{processClassesRecursively(classGroup2,getPart(classPartObject,key2),classGroupId,theme)})})},getPart=(classPartObject,path2)=>{
+let currentClassPartObject=classPartObject;return path2.split(CLASS_PART_SEPARATOR).forEach(pathPart=>{currentClassPartObject.nextPart.has(pathPart)||currentClassPartObject.nextPart.set(pathPart,{nextPart:new Map,validators:[]}),currentClassPartObject=currentClassPartObject.nextPart.get(pathPart)}),currentClassPartObject},isThemeGetter=func=>func.isThemeGetter,createLruCache=maxCacheSize=>{if(maxCacheSize<1)return{get:()=>{},set:()=>{}};let cacheSize=0,cache2=new Map,previousCache=new Map;const update2=(key2,value)=>{
+cache2.set(key2,value),cacheSize++,cacheSize>maxCacheSize&&(cacheSize=0,previousCache=cache2,cache2=new Map)};return{get(key2){let value=cache2.get(key2);if(value!==void 0)return value;if((value=previousCache.get(key2))!==void 0)return update2(key2,value),value},set(key2,value){cache2.has(key2)?cache2.set(key2,value):update2(key2,value)}}},IMPORTANT_MODIFIER="!",MODIFIER_SEPARATOR=":",MODIFIER_SEPARATOR_LENGTH=MODIFIER_SEPARATOR.length,createParseClassName=config2=>{const{prefix,experimentalParseClassName}=config2;
+let parseClassName=className=>{const modifiers=[];let bracketDepth=0,parenDepth=0,modifierStart=0,postfixModifierPosition;for(let index2=0;index2<className.length;index2++){let currentCharacter=className[index2];if(bracketDepth===0&&parenDepth===0){if(currentCharacter===MODIFIER_SEPARATOR){modifiers.push(className.slice(modifierStart,index2)),modifierStart=index2+MODIFIER_SEPARATOR_LENGTH;continue}if(currentCharacter==="/"){postfixModifierPosition=index2;continue}}currentCharacter==="["?bracketDepth++:
+currentCharacter==="]"?bracketDepth--:currentCharacter==="("?parenDepth++:currentCharacter===")"&&parenDepth--}const baseClassNameWithImportantModifier=modifiers.length===0?className:className.substring(modifierStart),baseClassName=stripImportantModifier(baseClassNameWithImportantModifier),hasImportantModifier=baseClassName!==baseClassNameWithImportantModifier,maybePostfixModifierPosition=postfixModifierPosition&&postfixModifierPosition>modifierStart?postfixModifierPosition-modifierStart:void 0;
+return{modifiers,hasImportantModifier,baseClassName,maybePostfixModifierPosition}};if(prefix){const fullPrefix=prefix+MODIFIER_SEPARATOR,parseClassNameOriginal=parseClassName;parseClassName=className=>className.startsWith(fullPrefix)?parseClassNameOriginal(className.substring(fullPrefix.length)):{isExternal:!0,modifiers:[],hasImportantModifier:!1,baseClassName:className,maybePostfixModifierPosition:void 0}}if(experimentalParseClassName){const parseClassNameOriginal=parseClassName;parseClassName=
+className=>experimentalParseClassName({className,parseClassName:parseClassNameOriginal})}return parseClassName},stripImportantModifier=baseClassName=>baseClassName.endsWith(IMPORTANT_MODIFIER)?baseClassName.substring(0,baseClassName.length-1):baseClassName.startsWith(IMPORTANT_MODIFIER)?baseClassName.substring(1):baseClassName,createSortModifiers=config2=>{const orderSensitiveModifiers=Object.fromEntries(config2.orderSensitiveModifiers.map(modifier=>[modifier,!0]));return modifiers=>{if(modifiers.
+length<=1)return modifiers;const sortedModifiers=[];let unsortedModifiers=[];return modifiers.forEach(modifier=>{modifier[0]==="["||orderSensitiveModifiers[modifier]?(sortedModifiers.push(...unsortedModifiers.sort(),modifier),unsortedModifiers=[]):unsortedModifiers.push(modifier)}),sortedModifiers.push(...unsortedModifiers.sort()),sortedModifiers}},createConfigUtils=config2=>({cache:createLruCache(config2.cacheSize),parseClassName:createParseClassName(config2),sortModifiers:createSortModifiers(config2),
+...createClassGroupUtils(config2)}),SPLIT_CLASSES_REGEX=/\s+/,mergeClassList=(classList,configUtils)=>{const{parseClassName,getClassGroupId,getConflictingClassGroupIds,sortModifiers}=configUtils,classGroupsInConflict=[],classNames=classList.trim().split(SPLIT_CLASSES_REGEX);let result="";for(let index2=classNames.length-1;index2>=0;index2-=1){const originalClassName=classNames[index2],{isExternal,modifiers,hasImportantModifier,baseClassName,maybePostfixModifierPosition}=parseClassName(originalClassName);
+if(isExternal){result=originalClassName+(result.length>0?" "+result:result);continue}let hasPostfixModifier=!!maybePostfixModifierPosition,classGroupId=getClassGroupId(hasPostfixModifier?baseClassName.substring(0,maybePostfixModifierPosition):baseClassName);if(!classGroupId){if(!hasPostfixModifier){result=originalClassName+(result.length>0?" "+result:result);continue}if(classGroupId=getClassGroupId(baseClassName),!classGroupId){result=originalClassName+(result.length>0?" "+result:result);continue}
+hasPostfixModifier=!1}const variantModifier=sortModifiers(modifiers).join(":"),modifierId=hasImportantModifier?variantModifier+IMPORTANT_MODIFIER:variantModifier,classId=modifierId+classGroupId;if(classGroupsInConflict.includes(classId))continue;classGroupsInConflict.push(classId);const conflictGroups=getConflictingClassGroupIds(classGroupId,hasPostfixModifier);for(let i=0;i<conflictGroups.length;++i){const group=conflictGroups[i];classGroupsInConflict.push(modifierId+group)}result=originalClassName+
+(result.length>0?" "+result:result)}return result};function twJoin(){let index2=0,argument,resolvedValue,string2="";for(;index2<arguments.length;)(argument=arguments[index2++])&&(resolvedValue=toValue(argument))&&(string2&&(string2+=" "),string2+=resolvedValue);return string2}const toValue=mix=>{if(typeof mix=="string")return mix;let resolvedValue,string2="";for(let k=0;k<mix.length;k++)mix[k]&&(resolvedValue=toValue(mix[k]))&&(string2&&(string2+=" "),string2+=resolvedValue);return string2};function createTailwindMerge(createConfigFirst,...createConfigRest){
+let configUtils,cacheGet,cacheSet,functionToCall=initTailwindMerge;function initTailwindMerge(classList){const config2=createConfigRest.reduce((previousConfig,createConfigCurrent)=>createConfigCurrent(previousConfig),createConfigFirst());return configUtils=createConfigUtils(config2),cacheGet=configUtils.cache.get,cacheSet=configUtils.cache.set,functionToCall=tailwindMerge,tailwindMerge(classList)}function tailwindMerge(classList){const cachedResult=cacheGet(classList);if(cachedResult)return cachedResult;
+const result=mergeClassList(classList,configUtils);return cacheSet(classList,result),result}return function(){return functionToCall(twJoin.apply(null,arguments))}}const fromTheme=key2=>{const themeGetter=theme=>theme[key2]||[];return themeGetter.isThemeGetter=!0,themeGetter},arbitraryValueRegex=/^\[(?:(\w[\w-]*):)?(.+)\]$/i,arbitraryVariableRegex=/^\((?:(\w[\w-]*):)?(.+)\)$/i,fractionRegex=/^\d+\/\d+$/,tshirtUnitRegex=/^(\d+(\.\d+)?)?(xs|sm|md|lg|xl)$/,lengthUnitRegex=/\d+(%|px|r?em|[sdl]?v([hwib]|min|max)|pt|pc|in|cm|mm|cap|ch|ex|r?lh|cq(w|h|i|b|min|max))|\b(calc|min|max|clamp)\(.+\)|^0$/,
+colorFunctionRegex=/^(rgba?|hsla?|hwb|(ok)?(lab|lch)|color-mix)\(.+\)$/,shadowRegex=/^(inset_)?-?((\d+)?\.?(\d+)[a-z]+|0)_-?((\d+)?\.?(\d+)[a-z]+|0)/,imageRegex=/^(url|image|image-set|cross-fade|element|(repeating-)?(linear|radial|conic)-gradient)\(.+\)$/,isFraction=value=>fractionRegex.test(value),isNumber=value=>!!value&&!Number.isNaN(Number(value)),isInteger=value=>!!value&&Number.isInteger(Number(value)),isPercent=value=>value.endsWith("%")&&isNumber(value.slice(0,-1)),isTshirtSize=value=>tshirtUnitRegex.
+test(value),isAny=()=>!0,isLengthOnly=value=>lengthUnitRegex.test(value)&&!colorFunctionRegex.test(value),isNever=()=>!1,isShadow=value=>shadowRegex.test(value),isImage=value=>imageRegex.test(value),isAnyNonArbitrary=value=>!isArbitraryValue(value)&&!isArbitraryVariable(value),isArbitrarySize=value=>getIsArbitraryValue(value,isLabelSize,isNever),isArbitraryValue=value=>arbitraryValueRegex.test(value),isArbitraryLength=value=>getIsArbitraryValue(value,isLabelLength,isLengthOnly),isArbitraryNumber=value=>getIsArbitraryValue(
+value,isLabelNumber,isNumber),isArbitraryPosition=value=>getIsArbitraryValue(value,isLabelPosition,isNever),isArbitraryImage=value=>getIsArbitraryValue(value,isLabelImage,isImage),isArbitraryShadow=value=>getIsArbitraryValue(value,isLabelShadow,isShadow),isArbitraryVariable=value=>arbitraryVariableRegex.test(value),isArbitraryVariableLength=value=>getIsArbitraryVariable(value,isLabelLength),isArbitraryVariableFamilyName=value=>getIsArbitraryVariable(value,isLabelFamilyName),isArbitraryVariablePosition=value=>getIsArbitraryVariable(
+value,isLabelPosition),isArbitraryVariableSize=value=>getIsArbitraryVariable(value,isLabelSize),isArbitraryVariableImage=value=>getIsArbitraryVariable(value,isLabelImage),isArbitraryVariableShadow=value=>getIsArbitraryVariable(value,isLabelShadow,!0),getIsArbitraryValue=(value,testLabel,testValue)=>{const result=arbitraryValueRegex.exec(value);return result?result[1]?testLabel(result[1]):testValue(result[2]):!1},getIsArbitraryVariable=(value,testLabel,shouldMatchNoLabel=!1)=>{const result=arbitraryVariableRegex.
+exec(value);return result?result[1]?testLabel(result[1]):shouldMatchNoLabel:!1},isLabelPosition=label=>label==="position"||label==="percentage",isLabelImage=label=>label==="image"||label==="url",isLabelSize=label=>label==="length"||label==="size"||label==="bg-size",isLabelLength=label=>label==="length",isLabelNumber=label=>label==="number",isLabelFamilyName=label=>label==="family-name",isLabelShadow=label=>label==="shadow",getDefaultConfig=()=>{const themeColor=fromTheme("color"),themeFont=fromTheme(
+"font"),themeText=fromTheme("text"),themeFontWeight=fromTheme("font-weight"),themeTracking=fromTheme("tracking"),themeLeading=fromTheme("leading"),themeBreakpoint=fromTheme("breakpoint"),themeContainer=fromTheme("container"),themeSpacing=fromTheme("spacing"),themeRadius=fromTheme("radius"),themeShadow=fromTheme("shadow"),themeInsetShadow=fromTheme("inset-shadow"),themeTextShadow=fromTheme("text-shadow"),themeDropShadow=fromTheme("drop-shadow"),themeBlur=fromTheme("blur"),themePerspective=fromTheme(
+"perspective"),themeAspect=fromTheme("aspect"),themeEase=fromTheme("ease"),themeAnimate=fromTheme("animate"),scaleBreak=()=>["auto","avoid","all","avoid-page","page","left","right","column"],scalePosition=()=>["center","top","bottom","left","right","top-left","left-top","top-right","right-top","bottom-right","right-bottom","bottom-left","left-bottom"],scalePositionWithArbitrary=()=>[...scalePosition(),isArbitraryVariable,isArbitraryValue],scaleOverflow=()=>["auto","hidden","clip","visible","scro\
+ll"],scaleOverscroll=()=>["auto","contain","none"],scaleUnambiguousSpacing=()=>[isArbitraryVariable,isArbitraryValue,themeSpacing],scaleInset=()=>[isFraction,"full","auto",...scaleUnambiguousSpacing()],scaleGridTemplateColsRows=()=>[isInteger,"none","subgrid",isArbitraryVariable,isArbitraryValue],scaleGridColRowStartAndEnd=()=>["auto",{span:["full",isInteger,isArbitraryVariable,isArbitraryValue]},isInteger,isArbitraryVariable,isArbitraryValue],scaleGridColRowStartOrEnd=()=>[isInteger,"auto",isArbitraryVariable,
+isArbitraryValue],scaleGridAutoColsRows=()=>["auto","min","max","fr",isArbitraryVariable,isArbitraryValue],scaleAlignPrimaryAxis=()=>["start","end","center","between","around","evenly","stretch","baseline","center-safe","end-safe"],scaleAlignSecondaryAxis=()=>["start","end","center","stretch","center-safe","end-safe"],scaleMargin=()=>["auto",...scaleUnambiguousSpacing()],scaleSizing=()=>[isFraction,"auto","full","dvw","dvh","lvw","lvh","svw","svh","min","max","fit",...scaleUnambiguousSpacing()],
+scaleColor=()=>[themeColor,isArbitraryVariable,isArbitraryValue],scaleBgPosition=()=>[...scalePosition(),isArbitraryVariablePosition,isArbitraryPosition,{position:[isArbitraryVariable,isArbitraryValue]}],scaleBgRepeat=()=>["no-repeat",{repeat:["","x","y","space","round"]}],scaleBgSize=()=>["auto","cover","contain",isArbitraryVariableSize,isArbitrarySize,{size:[isArbitraryVariable,isArbitraryValue]}],scaleGradientStopPosition=()=>[isPercent,isArbitraryVariableLength,isArbitraryLength],scaleRadius=()=>[
+"","none","full",themeRadius,isArbitraryVariable,isArbitraryValue],scaleBorderWidth=()=>["",isNumber,isArbitraryVariableLength,isArbitraryLength],scaleLineStyle=()=>["solid","dashed","dotted","double"],scaleBlendMode=()=>["normal","multiply","screen","overlay","darken","lighten","color-dodge","color-burn","hard-light","soft-light","difference","exclusion","hue","saturation","color","luminosity"],scaleMaskImagePosition=()=>[isNumber,isPercent,isArbitraryVariablePosition,isArbitraryPosition],scaleBlur=()=>[
+"","none",themeBlur,isArbitraryVariable,isArbitraryValue],scaleRotate=()=>["none",isNumber,isArbitraryVariable,isArbitraryValue],scaleScale=()=>["none",isNumber,isArbitraryVariable,isArbitraryValue],scaleSkew=()=>[isNumber,isArbitraryVariable,isArbitraryValue],scaleTranslate=()=>[isFraction,"full",...scaleUnambiguousSpacing()];return{cacheSize:500,theme:{animate:["spin","ping","pulse","bounce"],aspect:["video"],blur:[isTshirtSize],breakpoint:[isTshirtSize],color:[isAny],container:[isTshirtSize],
+"drop-shadow":[isTshirtSize],ease:["in","out","in-out"],font:[isAnyNonArbitrary],"font-weight":["thin","extralight","light","normal","medium","semibold","bold","extrabold","black"],"inset-shadow":[isTshirtSize],leading:["none","tight","snug","normal","relaxed","loose"],perspective:["dramatic","near","normal","midrange","distant","none"],radius:[isTshirtSize],shadow:[isTshirtSize],spacing:["px",isNumber],text:[isTshirtSize],"text-shadow":[isTshirtSize],tracking:["tighter","tight","normal","wide",
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+baseConfig.conflictingClassGroups,extend2.conflictingClassGroups),mergeConfigProperties(baseConfig.conflictingClassGroupModifiers,extend2.conflictingClassGroupModifiers),mergeArrayProperties(baseConfig,extend2,"orderSensitiveModifiers"),baseConfig),overrideProperty=(baseObject,overrideKey,overrideValue)=>{overrideValue!==void 0&&(baseObject[overrideKey]=overrideValue)},overrideConfigProperties=(baseObject,overrideObject)=>{if(overrideObject)for(const key2 in overrideObject)overrideProperty(baseObject,
+key2,overrideObject[key2])},mergeConfigProperties=(baseObject,mergeObject)=>{if(mergeObject)for(const key2 in mergeObject)mergeArrayProperties(baseObject,mergeObject,key2)},mergeArrayProperties=(baseObject,mergeObject,key2)=>{const mergeValue=mergeObject[key2];mergeValue!==void 0&&(baseObject[key2]=baseObject[key2]?baseObject[key2].concat(mergeValue):mergeValue)},extendTailwindMerge=(configExtension,...createConfig)=>typeof configExtension=="function"?createTailwindMerge(getDefaultConfig,configExtension,
+...createConfig):createTailwindMerge(()=>mergeConfigs(getDefaultConfig(),configExtension),...createConfig),twMerge=createTailwindMerge(getDefaultConfig);function cn$1(...inputs){return twMerge(clsx$1(inputs))}var SPACE_REGEX=/\s+/g,removeExtraSpaces=str=>typeof str!="string"||!str?str:str.replace(SPACE_REGEX," ").trim(),cx=(...classnames)=>{const classList=[],buildClassString=input=>{if(!input&&input!==0&&input!==0n)return;if(Array.isArray(input)){for(let i=0,len=input.length;i<len;i++)buildClassString(
+input[i]);return}const type2=typeof input;if(type2==="string"||type2==="number"||type2==="bigint"){if(type2==="number"&&input!==input)return;classList.push(String(input))}else if(type2==="object"){const keys2=Object.keys(input);for(let i=0,len=keys2.length;i<len;i++){const key2=keys2[i];input[key2]&&classList.push(key2)}}};for(let i=0,len=classnames.length;i<len;i++){const c2=classnames[i];c2!=null&&buildClassString(c2)}return classList.length>0?removeExtraSpaces(classList.join(" ")):void 0},falsyToString=value=>value===
+!1?"false":value===!0?"true":value===0?"0":value,isEmptyObject=obj=>{if(!obj||typeof obj!="object")return!0;for(const _ in obj)return!1;return!0},isEqual=(obj1,obj2)=>{if(obj1===obj2)return!0;if(!obj1||!obj2)return!1;const keys1=Object.keys(obj1),keys2=Object.keys(obj2);if(keys1.length!==keys2.length)return!1;for(let i=0;i<keys1.length;i++){const key2=keys1[i];if(!keys2.includes(key2)||obj1[key2]!==obj2[key2])return!1}return!0},joinObjects=(obj1,obj2)=>{for(const key2 in obj2)if(Object.prototype.
+hasOwnProperty.call(obj2,key2)){const val2=obj2[key2];key2 in obj1?obj1[key2]=cx(obj1[key2],val2):obj1[key2]=val2}return obj1},flat=(arr,target2)=>{for(let i=0;i<arr.length;i++){const el=arr[i];Array.isArray(el)?flat(el,target2):el&&target2.push(el)}},flatMergeArrays=(...arrays)=>{const result=[];flat(arrays,result);const filtered=[];for(let i=0;i<result.length;i++)result[i]&&filtered.push(result[i]);return filtered},mergeObjects=(obj1,obj2)=>{const result={};for(const key2 in obj1){const val1=obj1[key2];
+if(key2 in obj2){const val2=obj2[key2];Array.isArray(val1)||Array.isArray(val2)?result[key2]=flatMergeArrays(val2,val1):typeof val1=="object"&&typeof val2=="object"&&val1&&val2?result[key2]=mergeObjects(val1,val2):result[key2]=val2+" "+val1}else result[key2]=val1}for(const key2 in obj2)key2 in obj1||(result[key2]=obj2[key2]);return result},defaultConfig={twMerge:!0,twMergeConfig:{}};function createState$1(){let cachedTwMerge=null,cachedTwMergeConfig={},didTwMergeConfigChange=!1;return{get cachedTwMerge(){
+return cachedTwMerge},set cachedTwMerge(value){cachedTwMerge=value},get cachedTwMergeConfig(){return cachedTwMergeConfig},set cachedTwMergeConfig(value){cachedTwMergeConfig=value},get didTwMergeConfigChange(){return didTwMergeConfigChange},set didTwMergeConfigChange(value){didTwMergeConfigChange=value},reset(){cachedTwMerge=null,cachedTwMergeConfig={},didTwMergeConfigChange=!1}}}var state=createState$1(),getTailwindVariants=cn2=>{const tv2=(options,configProp)=>{const{extend:extend2=null,slots:slotProps={},
+variants:variantsProps={},compoundVariants:compoundVariantsProps=[],compoundSlots=[],defaultVariants:defaultVariantsProps={}}=options,config2={...defaultConfig,...configProp},base2=extend2?.base?cx(extend2.base,options?.base):options?.base,variants2=extend2?.variants&&!isEmptyObject(extend2.variants)?mergeObjects(variantsProps,extend2.variants):variantsProps,defaultVariants=extend2?.defaultVariants&&!isEmptyObject(extend2.defaultVariants)?{...extend2.defaultVariants,...defaultVariantsProps}:defaultVariantsProps;
+!isEmptyObject(config2.twMergeConfig)&&!isEqual(config2.twMergeConfig,state.cachedTwMergeConfig)&&(state.didTwMergeConfigChange=!0,state.cachedTwMergeConfig=config2.twMergeConfig);const isExtendedSlotsEmpty=isEmptyObject(extend2?.slots),componentSlots=isEmptyObject(slotProps)?{}:{base:cx(options?.base,isExtendedSlotsEmpty&&extend2?.base),...slotProps},slots=isExtendedSlotsEmpty?componentSlots:joinObjects({...extend2?.slots},isEmptyObject(componentSlots)?{base:options?.base}:componentSlots),compoundVariants=isEmptyObject(
+extend2?.compoundVariants)?compoundVariantsProps:flatMergeArrays(extend2?.compoundVariants,compoundVariantsProps),component2=props=>{if(isEmptyObject(variants2)&&isEmptyObject(slotProps)&&isExtendedSlotsEmpty)return cn2(base2,props?.class,props?.className)(config2);if(compoundVariants&&!Array.isArray(compoundVariants))throw new TypeError(`The "compoundVariants" prop must be an array. Received: ${typeof compoundVariants}`);if(compoundSlots&&!Array.isArray(compoundSlots))throw new TypeError(`The "\
+compoundSlots" prop must be an array. Received: ${typeof compoundSlots}`);const getVariantValue=(variant,vrs=variants2,_slotKey=null,slotProps2=null)=>{const variantObj=vrs[variant];if(!variantObj||isEmptyObject(variantObj))return null;const variantProp=slotProps2?.[variant]??props?.[variant];if(variantProp===null)return null;const variantKey=falsyToString(variantProp);if(typeof variantKey=="object")return null;const defaultVariantProp=defaultVariants?.[variant],key2=variantKey??falsyToString(defaultVariantProp);
+return variantObj[key2||"false"]},getVariantClassNames=()=>{if(!variants2)return null;const keys2=Object.keys(variants2),result=[];for(let i=0;i<keys2.length;i++){const value=getVariantValue(keys2[i],variants2);value&&result.push(value)}return result},getVariantClassNamesBySlotKey=(slotKey,slotProps2)=>{if(!variants2||typeof variants2!="object")return null;const result=[];for(const variant in variants2){const variantValue=getVariantValue(variant,variants2,slotKey,slotProps2),value=slotKey==="bas\
+e"&&typeof variantValue=="string"?variantValue:variantValue&&variantValue[slotKey];value&&result.push(value)}return result},propsWithoutUndefined={};for(const prop2 in props){const value=props[prop2];value!==void 0&&(propsWithoutUndefined[prop2]=value)}const getCompleteProps=(key2,slotProps2)=>{const initialProp=typeof props?.[key2]=="object"?{[key2]:props[key2]?.initial}:{};return{...defaultVariants,...propsWithoutUndefined,...initialProp,...slotProps2}},getCompoundVariantsValue=(cv=[],slotProps2)=>{
+const result=[],cvLength=cv.length;for(let i=0;i<cvLength;i++){const{class:tvClass,className:tvClassName,...compoundVariantOptions}=cv[i];let isValid=!0;const completeProps=getCompleteProps(null,slotProps2);for(const key2 in compoundVariantOptions){const value=compoundVariantOptions[key2],completePropsValue=completeProps[key2];if(Array.isArray(value)){if(!value.includes(completePropsValue)){isValid=!1;break}}else{if((value==null||value===!1)&&(completePropsValue==null||completePropsValue===!1))continue;
+if(completePropsValue!==value){isValid=!1;break}}}isValid&&(tvClass&&result.push(tvClass),tvClassName&&result.push(tvClassName))}return result},getCompoundVariantClassNamesBySlot=slotProps2=>{const compoundClassNames=getCompoundVariantsValue(compoundVariants,slotProps2);if(!Array.isArray(compoundClassNames))return compoundClassNames;const result={},cnFn=cn2;for(let i=0;i<compoundClassNames.length;i++){const className=compoundClassNames[i];if(typeof className=="string")result.base=cnFn(result.base,
+className)(config2);else if(typeof className=="object")for(const slot in className)result[slot]=cnFn(result[slot],className[slot])(config2)}return result},getCompoundSlotClassNameBySlot=slotProps2=>{if(compoundSlots.length<1)return null;const result={},completeProps=getCompleteProps(null,slotProps2);for(let i=0;i<compoundSlots.length;i++){const{slots:slots2=[],class:slotClass,className:slotClassName,...slotVariants}=compoundSlots[i];if(!isEmptyObject(slotVariants)){let isValid=!0;for(const key2 in slotVariants){
+const completePropsValue=completeProps[key2],slotVariantValue=slotVariants[key2];if(completePropsValue===void 0||(Array.isArray(slotVariantValue)?!slotVariantValue.includes(completePropsValue):slotVariantValue!==completePropsValue)){isValid=!1;break}}if(!isValid)continue}for(let j=0;j<slots2.length;j++){const slotName=slots2[j];result[slotName]||(result[slotName]=[]),result[slotName].push([slotClass,slotClassName])}}return result};if(!isEmptyObject(slotProps)||!isExtendedSlotsEmpty){const slotsFns={};
+if(typeof slots=="object"&&!isEmptyObject(slots)){const cnFn=cn2;for(const slotKey in slots)slotsFns[slotKey]=slotProps2=>{const compoundVariantClasses=getCompoundVariantClassNamesBySlot(slotProps2),compoundSlotClasses=getCompoundSlotClassNameBySlot(slotProps2);return cnFn(slots[slotKey],getVariantClassNamesBySlotKey(slotKey,slotProps2),compoundVariantClasses?compoundVariantClasses[slotKey]:void 0,compoundSlotClasses?compoundSlotClasses[slotKey]:void 0,slotProps2?.class,slotProps2?.className)(config2)}}
+return slotsFns}return cn2(base2,getVariantClassNames(),getCompoundVariantsValue(compoundVariants),props?.class,props?.className)(config2)},getVariantKeys=()=>{if(!(!variants2||typeof variants2!="object"))return Object.keys(variants2)};return component2.variantKeys=getVariantKeys(),component2.extend=extend2,component2.base=base2,component2.slots=slots,component2.variants=variants2,component2.defaultVariants=defaultVariants,component2.compoundSlots=compoundSlots,component2.compoundVariants=compoundVariants,
+component2};return{tv:tv2,createTV:configProp=>(options,config2)=>tv2(options,config2?mergeObjects(configProp,config2):configProp)}},createTwMerge=cachedTwMergeConfig=>isEmptyObject(cachedTwMergeConfig)?twMerge:extendTailwindMerge({...cachedTwMergeConfig,extend:{theme:cachedTwMergeConfig.theme,classGroups:cachedTwMergeConfig.classGroups,conflictingClassGroupModifiers:cachedTwMergeConfig.conflictingClassGroupModifiers,conflictingClassGroups:cachedTwMergeConfig.conflictingClassGroups,...cachedTwMergeConfig.
+extend}}),executeMerge=(classnames,config2)=>{const base2=cx(classnames);return!base2||!(config2?.twMerge??!0)?base2:((!state.cachedTwMerge||state.didTwMergeConfigChange)&&(state.didTwMergeConfigChange=!1,state.cachedTwMerge=createTwMerge(state.cachedTwMergeConfig)),state.cachedTwMerge(base2)||void 0)},cnMerge=(...classnames)=>config2=>executeMerge(classnames,config2),{tv}=getTailwindVariants(cnMerge);const buttonVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invali\
+d:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex shrink-0 items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium outline-none transition-all focus-visible:ring-[3px] disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 [&_svg:not([class*='size-'])]:size-4 [&_svg]:pointer-events-none [&_svg]:shrink-0",variants:{variant:{default:"bg-primary text-primary-foregrou\
+nd shadow-sm hover:bg-primary/90",destructive:"bg-destructive shadow-sm hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white!",outline:"shadow-sm hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm dark:border-input border",secondary:"bg-background dark:bg-muted-foreground/15 dark:text-secondary-foreground shadow-sm text-foreground hover:bg-muted-foreground/20 dark:hover:bg-muted-foreground/25",ghost:"\
+hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm",link:"text-primary underline-offset-4 hover:underline"},size:{default:"h-9 px-4 py-2 has-[>svg]:px-3",sm:"h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5",lg:"h-10 rounded-md px-6 has-[>svg]:px-4","icon-lg":"size-10",icon:"size-9","icon-sm":"size-5 rounded-sm"}},defaultVariants:{variant:"default",size:"default"}});var root_1$1c=from_html("<a><!></a>"),root_2$1C=from_html("<button><!></button>");function Button($$anchor,$$props){
+push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),size2=prop($$props,"size",3,"default"),ref2=prop($$props,"ref",15,null),href=prop($$props,"href",3,void 0),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","class","variant","size","ref","href","type","disabled","children"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var a=root_1$1c();attribute_effect(a,$0=>({"data-slot":"button",class:$0,href:$$props.
+disabled?void 0:href(),"aria-disabled":$$props.disabled,role:$$props.disabled?"link":void 0,tabindex:$$props.disabled?-1:void 0,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_1=child(a);snippet(node_1,()=>$$props.children??noop$3),reset(a),bind_this(a,$$value=>ref2($$value),()=>ref2()),append($$anchor2,a)},alternate=$$anchor2=>{var button=root_2$1C();attribute_effect(button,$0=>({"data-slot":"button",class:$0,type:type2(),
+disabled:$$props.disabled,...restProps}),[()=>cn$1(buttonVariants({variant:variant(),size:size2()}),$$props.class)],void 0,void 0,"svelte-1q39rn8");var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),bind_this(button,$$value=>ref2($$value),()=>ref2()),append($$anchor2,button)};if_block(node2,$$render=>{href()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function isFunction$2(value){return typeof value=="function"}function isObject$2(value){
+return value!==null&&typeof value=="object"}const CLASS_VALUE_PRIMITIVE_TYPES=["string","number","bigint","boolean"];function isClassValue(value){return value==null||CLASS_VALUE_PRIMITIVE_TYPES.includes(typeof value)?!0:Array.isArray(value)?value.every(item=>isClassValue(item)):typeof value=="object"?Object.getPrototypeOf(value)===Object.prototype:!1}const BoxSymbol$1=Symbol("box"),isWritableSymbol$1=Symbol("is-writable");function boxWith$1(getter,setter){const derived2=user_derived(getter);return setter?
+{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(derived2)},set current(v){setter(v)}}:{[BoxSymbol$1]:!0,get current(){return getter()}}}function isBox$1(value){return isObject$2(value)&&BoxSymbol$1 in value}function isWritableBox$1(value){return isBox$1(value)&&isWritableSymbol$1 in value}function boxFrom$1(value){return isBox$1(value)?value:isFunction$2(value)?boxWith$1(value):simpleBox(value)}function boxFlatten$1(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>isBox$1(
+b)?(isWritableBox$1(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox$1(b){return isWritableBox$1(b)?{[BoxSymbol$1]:!0,get current(){return b.current}}:b}function simpleBox(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}
+function box$1(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol$1]:!0,[isWritableSymbol$1]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}box$1.from=boxFrom$1;box$1.with=boxWith$1;box$1.flatten=boxFlatten$1;box$1.readonly=toReadonlyBox$1;box$1.isBox=isBox$1;box$1.isWritableBox=isWritableBox$1;function composeHandlers(...handlers2){return function(e){for(const handler of handlers2)if(handler){if(e.defaultPrevented)return;typeof handler=="fu\
+nction"?handler.call(this,e):handler.current?.call(this,e)}}}var commonjsGlobal=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function getDefaultExportFromCjs(x){return x&&x.__esModule&&Object.prototype.hasOwnProperty.call(x,"default")?x.default:x}var cjs={},inlineStyleParser,hasRequiredInlineStyleParser;function requireInlineStyleParser(){if(hasRequiredInlineStyleParser)return inlineStyleParser;hasRequiredInlineStyleParser=1;var COMMENT_REGEX=/\/\*[^*]*\*+([^/*][^*]*\*+)*\//g,
+NEWLINE_REGEX=/\n/g,WHITESPACE_REGEX=/^\s*/,PROPERTY_REGEX=/^(\*?[-#/*\\\w]+(\[[0-9a-z_-]+\])?)\s*/,COLON_REGEX=/^:\s*/,VALUE_REGEX=/^((?:'(?:\\'|.)*?'|"(?:\\"|.)*?"|\([^)]*?\)|[^};])+)/,SEMICOLON_REGEX=/^[;\s]*/,TRIM_REGEX=/^\s+|\s+$/g,NEWLINE2=`
+`,FORWARD_SLASH="/",ASTERISK="*",EMPTY_STRING="",TYPE_COMMENT="comment",TYPE_DECLARATION="declaration";inlineStyleParser=function(style2,options){if(typeof style2!="string")throw new TypeError("First argument must be a string");if(!style2)return[];options=options||{};var lineno=1,column=1;function updatePosition(str){var lines=str.match(NEWLINE_REGEX);lines&&(lineno+=lines.length);var i=str.lastIndexOf(NEWLINE2);column=~i?str.length-i:column+str.length}function position2(){var start2={line:lineno,
+column};return function(node2){return node2.position=new Position(start2),whitespace2(),node2}}function Position(start2){this.start=start2,this.end={line:lineno,column},this.source=options.source}Position.prototype.content=style2;function error2(msg){var err=new Error(options.source+":"+lineno+":"+column+": "+msg);if(err.reason=msg,err.filename=options.source,err.line=lineno,err.column=column,err.source=style2,!options.silent)throw err}function match(re2){var m=re2.exec(style2);if(m){var str=m[0];
+return updatePosition(str),style2=style2.slice(str.length),m}}function whitespace2(){match(WHITESPACE_REGEX)}function comments(rules2){var c2;for(rules2=rules2||[];c2=comment2();)c2!==!1&&rules2.push(c2);return rules2}function comment2(){var pos=position2();if(!(FORWARD_SLASH!=style2.charAt(0)||ASTERISK!=style2.charAt(1))){for(var i=2;EMPTY_STRING!=style2.charAt(i)&&(ASTERISK!=style2.charAt(i)||FORWARD_SLASH!=style2.charAt(i+1));)++i;if(i+=2,EMPTY_STRING===style2.charAt(i-1))return error2("End o\
+f comment missing");var str=style2.slice(2,i-2);return column+=2,updatePosition(str),style2=style2.slice(i),column+=2,pos({type:TYPE_COMMENT,comment:str})}}function declaration(){var pos=position2(),prop2=match(PROPERTY_REGEX);if(prop2){if(comment2(),!match(COLON_REGEX))return error2("property missing ':'");var val=match(VALUE_REGEX),ret=pos({type:TYPE_DECLARATION,property:trim(prop2[0].replace(COMMENT_REGEX,EMPTY_STRING)),value:val?trim(val[0].replace(COMMENT_REGEX,EMPTY_STRING)):EMPTY_STRING});
+return match(SEMICOLON_REGEX),ret}}function declarations(){var decls=[];comments(decls);for(var decl;decl=declaration();)decl!==!1&&(decls.push(decl),comments(decls));return decls}return whitespace2(),declarations()};function trim(str){return str?str.replace(TRIM_REGEX,EMPTY_STRING):EMPTY_STRING}return inlineStyleParser}var hasRequiredCjs;function requireCjs(){if(hasRequiredCjs)return cjs;hasRequiredCjs=1;var __importDefault=cjs&&cjs.__importDefault||function(mod){return mod&&mod.__esModule?mod:
+{default:mod}};Object.defineProperty(cjs,"__esModule",{value:!0}),cjs.default=StyleToObject2;var inline_style_parser_1=__importDefault(requireInlineStyleParser());function StyleToObject2(style2,iterator){var styleObject=null;if(!style2||typeof style2!="string")return styleObject;var declarations=(0,inline_style_parser_1.default)(style2),hasIterator=typeof iterator=="function";return declarations.forEach(function(declaration){if(declaration.type==="declaration"){var property=declaration.property,
+value=declaration.value;hasIterator?iterator(property,value,declaration):value&&(styleObject=styleObject||{},styleObject[property]=value)}}),styleObject}return cjs}var cjsExports=requireCjs();const StyleToObject=getDefaultExportFromCjs(cjsExports),parse$4=StyleToObject.default||StyleToObject,NUMBER_CHAR_RE=/\d/,STR_SPLITTERS=["-","_","/","."];function isUppercase(char=""){if(!NUMBER_CHAR_RE.test(char))return char!==char.toLowerCase()}function splitByCase(str){const parts=[];let buff="",previousUpper,
+previousSplitter;for(const char of str){const isSplitter=STR_SPLITTERS.includes(char);if(isSplitter===!0){parts.push(buff),buff="",previousUpper=void 0;continue}const isUpper=isUppercase(char);if(previousSplitter===!1){if(previousUpper===!1&&isUpper===!0){parts.push(buff),buff=char,previousUpper=isUpper;continue}if(previousUpper===!0&&isUpper===!1&&buff.length>1){const lastChar=buff.at(-1);parts.push(buff.slice(0,Math.max(0,buff.length-1))),buff=lastChar+char,previousUpper=isUpper;continue}}buff+=
+char,previousUpper=isUpper,previousSplitter=isSplitter}return parts.push(buff),parts}function pascalCase(str){return str?splitByCase(str).map(p2=>upperFirst(p2)).join(""):""}function camelCase(str){return lowerFirst(pascalCase(str||""))}function upperFirst(str){return str?str[0].toUpperCase()+str.slice(1):""}function lowerFirst(str){return str?str[0].toLowerCase()+str.slice(1):""}function cssToStyleObj(css2){if(!css2)return{};const styleObj={};function iterator(name,value){if(name.startsWith("-m\
+oz-")||name.startsWith("-webkit-")||name.startsWith("-ms-")||name.startsWith("-o-")){styleObj[pascalCase(name)]=value;return}if(name.startsWith("--")){styleObj[name]=value;return}styleObj[camelCase(name)]=value}return parse$4(css2,iterator),styleObj}function executeCallbacks(...callbacks){return(...args)=>{for(const callback of callbacks)typeof callback=="function"&&callback(...args)}}function createParser$2(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(
+`expected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab$1=createParser$2(/[A-Z]/,match=>`-${match.toLowerCase()}`);function styleToCSS$1(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab$1(property)}: ${styleObj[property]};`).join(`
+`)}function styleToString$1(style2={}){return styleToCSS$1(style2).replace(`
+`," ")}const EVENT_LIST=["onabort","onanimationcancel","onanimationend","onanimationiteration","onanimationstart","onauxclick","onbeforeinput","onbeforetoggle","onblur","oncancel","oncanplay","oncanplaythrough","onchange","onclick","onclose","oncompositionend","oncompositionstart","oncompositionupdate","oncontextlost","oncontextmenu","oncontextrestored","oncopy","oncuechange","oncut","ondblclick","ondrag","ondragend","ondragenter","ondragleave","ondragover","ondragstart","ondrop","ondurationchan\
+ge","onemptied","onended","onerror","onfocus","onfocusin","onfocusout","onformdata","ongotpointercapture","oninput","oninvalid","onkeydown","onkeypress","onkeyup","onload","onloadeddata","onloadedmetadata","onloadstart","onlostpointercapture","onmousedown","onmouseenter","onmouseleave","onmousemove","onmouseout","onmouseover","onmouseup","onpaste","onpause","onplay","onplaying","onpointercancel","onpointerdown","onpointerenter","onpointerleave","onpointermove","onpointerout","onpointerover","onp\
+ointerup","onprogress","onratechange","onreset","onresize","onscroll","onscrollend","onsecuritypolicyviolation","onseeked","onseeking","onselect","onselectionchange","onselectstart","onslotchange","onstalled","onsubmit","onsuspend","ontimeupdate","ontoggle","ontouchcancel","ontouchend","ontouchmove","ontouchstart","ontransitioncancel","ontransitionend","ontransitionrun","ontransitionstart","onvolumechange","onwaiting","onwebkitanimationend","onwebkitanimationiteration","onwebkitanimationstart","\
+onwebkittransitionend","onwheel"],EVENT_LIST_SET=new Set(EVENT_LIST);function isEventHandler(key2){return EVENT_LIST_SET.has(key2)}function mergeProps(...args){const result={...args[0]};for(let i=1;i<args.length;i++){const props=args[i];if(props){for(const key2 of Object.keys(props)){const a=result[key2],b=props[key2],aIsFunction=typeof a=="function",bIsFunction=typeof b=="function";if(aIsFunction&&isEventHandler(key2)){const aHandler=a,bHandler=b;result[key2]=composeHandlers(aHandler,bHandler)}else if(aIsFunction&&
+bIsFunction)result[key2]=executeCallbacks(a,b);else if(key2==="class"){const aIsClassValue=isClassValue(a),bIsClassValue=isClassValue(b);aIsClassValue&&bIsClassValue?result[key2]=clsx$1(a,b):aIsClassValue?result[key2]=clsx$1(a):bIsClassValue&&(result[key2]=clsx$1(b))}else if(key2==="style"){const aIsObject=typeof a=="object",bIsObject=typeof b=="object",aIsString=typeof a=="string",bIsString=typeof b=="string";if(aIsObject&&bIsObject)result[key2]={...a,...b};else if(aIsObject&&bIsString){const parsedStyle=cssToStyleObj(
+b);result[key2]={...a,...parsedStyle}}else if(aIsString&&bIsObject){const parsedStyle=cssToStyleObj(a);result[key2]={...parsedStyle,...b}}else if(aIsString&&bIsString){const parsedStyleA=cssToStyleObj(a),parsedStyleB=cssToStyleObj(b);result[key2]={...parsedStyleA,...parsedStyleB}}else aIsObject?result[key2]=a:bIsObject?result[key2]=b:aIsString?result[key2]=a:bIsString&&(result[key2]=b)}else result[key2]=b!==void 0?b:a}for(const key2 of Object.getOwnPropertySymbols(props)){const a=result[key2],b=props[key2];
+result[key2]=b!==void 0?b:a}}}return typeof result.style=="object"&&(result.style=styleToString$1(result.style).replaceAll(`
+`," ")),result.hidden===!1&&(result.hidden=void 0,delete result.hidden),result.disabled===!1&&(result.disabled=void 0,delete result.disabled),result}const srOnlyStyles$1={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};styleToString$1(srOnlyStyles$1);const defaultWindow$3=typeof window<"u"?window:void 0;function getActiveElement$4(document2){let activeElement=document2.
+activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}var read_methods=["forEach","isDisjointFrom","isSubsetOf","isSupersetOf"],set_like_methods=["difference","intersection","symmetricDifference","union"],inited=!1;class SvelteSet extends Set{#sources=new Map;#version=state$1(0);#size=state$1(0);#update_version=update_version||-1;constructor(value){if(super(),value){for(var element2 of value)
+super.add(element2);this.#size.v=super.size}inited||this.#init()}#source(value){return update_version===this.#update_version?state$1(value):source$2(value)}#init(){inited=!0;var proto=SvelteSet.prototype,set_proto=Set.prototype;for(const method of read_methods)proto[method]=function(...v){return get$3(this.#version),set_proto[method].apply(this,v)};for(const method of set_like_methods)proto[method]=function(...v){get$3(this.#version);var set2=set_proto[method].apply(this,v);return new SvelteSet(
+set2)}}has(value){var has=super.has(value),sources=this.#sources,s2=sources.get(value);if(s2===void 0){if(!has)return get$3(this.#version),!1;s2=this.#source(!0),sources.set(value,s2)}return get$3(s2),has}add(value){return super.has(value)||(super.add(value),set$1(this.#size,super.size),increment$1(this.#version)),this}delete(value){var deleted=super.delete(value),sources=this.#sources,s2=sources.get(value);return s2!==void 0&&(sources.delete(value),set$1(s2,!1)),deleted&&(set$1(this.#size,super.
+size),increment$1(this.#version)),deleted}clear(){if(super.size!==0){super.clear();var sources=this.#sources;for(var s2 of sources.values())set$1(s2,!1);sources.clear(),set$1(this.#size,0),increment$1(this.#version)}}keys(){return this.values()}values(){return get$3(this.#version),super.values()}entries(){return get$3(this.#version),super.entries()}[Symbol.iterator](){return this.keys()}get size(){return get$3(this.#size)}}class SvelteMap extends Map{#sources=new Map;#version=state$1(0);#size=state$1(
+0);#update_version=update_version||-1;constructor(value){if(super(),value){for(var[key2,v]of value)super.set(key2,v);this.#size.v=super.size}}#source(value){return update_version===this.#update_version?state$1(value):source$2(value)}has(key2){var sources=this.#sources,s2=sources.get(key2);if(s2===void 0)if(super.has(key2))s2=this.#source(0),sources.set(key2,s2);else return get$3(this.#version),!1;return get$3(s2),!0}forEach(callbackfn,this_arg){this.#read_all(),super.forEach(callbackfn,this_arg)}get(key2){
+var sources=this.#sources,s2=sources.get(key2);if(s2===void 0)if(super.has(key2))s2=this.#source(0),sources.set(key2,s2);else{get$3(this.#version);return}return get$3(s2),super.get(key2)}set(key2,value){var sources=this.#sources,s2=sources.get(key2),prev_res=super.get(key2),res=super.set(key2,value),version2=this.#version;if(s2===void 0)s2=this.#source(0),sources.set(key2,s2),set$1(this.#size,super.size),increment$1(version2);else if(prev_res!==value){increment$1(s2);var v_reactions=version2.reactions===
+null?null:new Set(version2.reactions),needs_version_increase=v_reactions===null||!s2.reactions?.every(r2=>v_reactions.has(r2));needs_version_increase&&increment$1(version2)}return res}delete(key2){var sources=this.#sources,s2=sources.get(key2),res=super.delete(key2);return s2!==void 0&&(sources.delete(key2),set$1(s2,-1)),res&&(set$1(this.#size,super.size),increment$1(this.#version)),res}clear(){if(super.size!==0){super.clear();var sources=this.#sources;set$1(this.#size,0);for(var s2 of sources.values())
+set$1(s2,-1);increment$1(this.#version),sources.clear()}}#read_all(){get$3(this.#version);var sources=this.#sources;if(this.#size.v!==sources.size){for(var key2 of super.keys())if(!sources.has(key2)){var s2=this.#source(0);sources.set(key2,s2)}}for([,s2]of this.#sources)get$3(s2)}keys(){return get$3(this.#version),super.keys()}values(){return this.#read_all(),super.values()}entries(){return this.#read_all(),super.entries()}[Symbol.iterator](){return this.entries()}get size(){return get$3(this.#size),
+super.size}}class ReactiveValue{#fn;#subscribe;constructor(fn,onsubscribe){this.#fn=fn,this.#subscribe=createSubscriber(onsubscribe)}get current(){return this.#subscribe(),this.#fn()}}const parenthesis_regex=/\(.+\)/,non_parenthesized_keywords=new Set(["all","print","screen","and","or","not","only"]);class MediaQuery extends ReactiveValue{constructor(query,fallback2){let final_query=parenthesis_regex.test(query)||query.split(/[\s,]+/).some(keyword2=>non_parenthesized_keywords.has(keyword2.trim()))?
+query:`(${query})`;const q2=window.matchMedia(final_query);super(()=>q2.matches,update2=>on(q2,"change",update2))}}let ActiveElement$3=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$3,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){
+return this.#subscribe?.(),this.#document?getActiveElement$4(this.#document):null}};new ActiveElement$3;function isFunction$1(value){return typeof value=="function"}function extract(value,defaultValue){if(isFunction$1(value)){const gotten=value();return gotten===void 0?defaultValue:gotten}return value===void 0?defaultValue:value}let Context$1=class{#name;#key;constructor(name){this.#name=name,this.#key=Symbol(name)}get key(){return this.#key}exists(){return hasContext(this.#key)}get(){const context=getContext(
+this.#key);if(context===void 0)throw new Error(`Context "${this.#name}" not found`);return context}getOr(fallback2){const context=getContext(this.#key);return context===void 0?fallback2:context}set(context){return setContext(this.#key,context)}};function useDebounce(callback,wait){let context=state$1(null);const wait$=user_derived(()=>extract(wait,250));function debounced(...args){if(get$3(context))get$3(context).timeout&&clearTimeout(get$3(context).timeout);else{let resolve2,reject;const promise=new Promise(
+(res,rej)=>{resolve2=res,reject=rej});set$1(context,{timeout:null,runner:null,promise,resolve:resolve2,reject},!0)}return get$3(context).runner=async()=>{if(!get$3(context))return;const ctx=get$3(context);set$1(context,null);try{ctx.resolve(await callback.apply(this,args))}catch(error2){ctx.reject(error2)}},get$3(context).timeout=setTimeout(get$3(context).runner,get$3(wait$)),get$3(context).promise}return debounced.cancel=async()=>{(!get$3(context)||get$3(context).timeout===null)&&(await new Promise(
+resolve2=>setTimeout(resolve2,0)),!get$3(context)||get$3(context).timeout===null)||(clearTimeout(get$3(context).timeout),get$3(context).reject("Cancelled"),set$1(context,null))},debounced.runScheduledNow=async()=>{(!get$3(context)||!get$3(context).timeout)&&(await new Promise(resolve2=>setTimeout(resolve2,0)),!get$3(context)||!get$3(context).timeout)||(clearTimeout(get$3(context).timeout),get$3(context).timeout=null,await get$3(context).runner?.())},Object.defineProperty(debounced,"pending",{enumerable:!0,
+get(){return!!get$3(context)?.timeout}}),debounced}function runEffect$1(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect(effect2);break}}function runWatcher$1(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect$1(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=!0,previousValues=values;return}const cleanup=untrack$1(
+()=>effect2(values,previousValues));return previousValues=values,cleanup})}function watch$1(sources,effect2,options){runWatcher$1(sources,"post",effect2,options)}function watchPre$1(sources,effect2,options){runWatcher$1(sources,"pre",effect2,options)}watch$1.pre=watchPre$1;function get$1(value){return isFunction$1(value)?value():value}class ElementSize{#size={width:0,height:0};#observed=!1;#options;#node;#window;#width=user_derived(()=>(get$3(this.#subscribe)?.(),this.getSize().width));#height=user_derived(
+()=>(get$3(this.#subscribe)?.(),this.getSize().height));#subscribe=user_derived(()=>{const node$=get$1(this.#node);if(node$)return createSubscriber(update2=>{if(!this.#window)return;const observer=new this.#window.ResizeObserver(entries=>{this.#observed=!0;for(const entry of entries){const boxSize=this.#options.box==="content-box"?entry.contentBoxSize:entry.borderBoxSize,boxSizeArr=Array.isArray(boxSize)?boxSize:[boxSize];this.#size.width=boxSizeArr.reduce((acc,size2)=>Math.max(acc,size2.inlineSize),
+0),this.#size.height=boxSizeArr.reduce((acc,size2)=>Math.max(acc,size2.blockSize),0)}update2()});return observer.observe(node$),()=>{this.#observed=!1,observer.disconnect()}})});constructor(node2,options={box:"border-box"}){this.#window=options.window??defaultWindow$3,this.#options=options,this.#node=node2,this.#size={width:0,height:0}}calculateSize(){const element2=get$1(this.#node);if(!element2||!this.#window)return;const offsetWidth=element2.offsetWidth,offsetHeight=element2.offsetHeight;if(this.#options.
+box==="border-box")return{width:offsetWidth,height:offsetHeight};const style2=this.#window.getComputedStyle(element2),paddingWidth=parseFloat(style2.paddingLeft)+parseFloat(style2.paddingRight),paddingHeight=parseFloat(style2.paddingTop)+parseFloat(style2.paddingBottom),borderWidth=parseFloat(style2.borderLeftWidth)+parseFloat(style2.borderRightWidth),borderHeight=parseFloat(style2.borderTopWidth)+parseFloat(style2.borderBottomWidth),contentWidth=offsetWidth-paddingWidth-borderWidth,contentHeight=offsetHeight-
+paddingHeight-borderHeight;return{width:contentWidth,height:contentHeight}}getSize(){return this.#observed?this.#size:this.calculateSize()??this.#size}get current(){return get$3(this.#subscribe)?.(),this.getSize()}get width(){return get$3(this.#width)}get height(){return get$3(this.#height)}}class IsMounted{#isMounted=state$1(!1);constructor(){user_effect(()=>(untrack$1(()=>set$1(this.#isMounted,!0)),()=>{set$1(this.#isMounted,!1)}))}get current(){return get$3(this.#isMounted)}}class Previous{#previousCallback=()=>{};#previous=user_derived(
+()=>this.#previousCallback());constructor(getter,initialValue){let actualPrevious;initialValue!==void 0&&(actualPrevious=initialValue),this.#previousCallback=()=>{try{return actualPrevious}finally{actualPrevious=getter()}}}get current(){return get$3(this.#previous)}}function onDestroyEffect(fn){user_effect(()=>()=>{fn()})}function onMountEffect(fn){user_effect(()=>untrack$1(()=>fn()))}function afterSleep(ms,cb){return setTimeout(cb,ms)}function afterTick(fn){tick().then(fn)}const ELEMENT_NODE=1,
+DOCUMENT_NODE=9,DOCUMENT_FRAGMENT_NODE=11;function isHTMLElement$2(node2){return isObject$2(node2)&&node2.nodeType===ELEMENT_NODE&&typeof node2.nodeName=="string"}function isDocument(node2){return isObject$2(node2)&&node2.nodeType===DOCUMENT_NODE}function isWindow(node2){return isObject$2(node2)&&node2.constructor?.name==="VisualViewport"}function isNode$1(node2){return isObject$2(node2)&&node2.nodeType!==void 0}function isShadowRoot$1(node2){return isNode$1(node2)&&node2.nodeType===DOCUMENT_FRAGMENT_NODE&&
+"host"in node2}function contains$3(parent,child2){if(!parent||!child2||!isHTMLElement$2(parent)||!isHTMLElement$2(child2))return!1;const rootNode=child2.getRootNode?.();if(parent===child2||parent.contains(child2))return!0;if(rootNode&&isShadowRoot$1(rootNode)){let next2=child2;for(;next2;){if(parent===next2)return!0;next2=next2.parentNode||next2.host}}return!1}function getDocument$1(node2){return isDocument(node2)?node2:isWindow(node2)?node2.document:node2?.ownerDocument??document}function getWindow$1(node2){
+return isShadowRoot$1(node2)?getWindow$1(node2.host):isDocument(node2)?node2.defaultView??window:isHTMLElement$2(node2)?node2.ownerDocument?.defaultView??window:window}function getActiveElement$3(rootNode){let activeElement=rootNode.activeElement;for(;activeElement?.shadowRoot;){const el=activeElement.shadowRoot.activeElement;if(el===activeElement)break;activeElement=el}return activeElement}class DOMContext{element;#root=user_derived(()=>this.element.current?this.element.current.getRootNode()??document:
+document);get root(){return get$3(this.#root)}set root(value){set$1(this.#root,value)}constructor(element2){typeof element2=="function"?this.element=boxWith$1(element2):this.element=element2}getDocument=()=>getDocument$1(this.root);getWindow=()=>this.getDocument().defaultView??window;getActiveElement=()=>getActiveElement$3(this.root);isActiveElement=node2=>node2===this.getActiveElement();getElementById(id2){return this.root.getElementById(id2)}querySelector=selector=>this.root?this.root.querySelector(
+selector):null;querySelectorAll=selector=>this.root?this.root.querySelectorAll(selector):[];setTimeout=(callback,delay)=>this.getWindow().setTimeout(callback,delay);clearTimeout=timeoutId=>this.getWindow().clearTimeout(timeoutId)}function attachRef(ref2,onChange){return{[createAttachmentKey()]:node2=>isBox$1(ref2)?(ref2.current=node2,untrack$1(()=>onChange?.(node2)),()=>{"isConnected"in node2&&node2.isConnected||(ref2.current=null,onChange?.(null))}):(ref2(node2),untrack$1(()=>onChange?.(node2)),
+()=>{"isConnected"in node2&&node2.isConnected||(ref2(null),onChange?.(null))})}}function boolToStr(condition){return condition?"true":"false"}function boolToStrTrueOrUndef(condition){return condition?"true":void 0}function boolToEmptyStrOrUndef(condition){return condition?"":void 0}function boolToTrueOrUndef(condition){return condition?!0:void 0}function getDataOpenClosed(condition){return condition?"open":"closed"}function getDataChecked(condition){return condition?"checked":"unchecked"}function getDataTransitionAttrs(state2){
+return state2==="starting"?{"data-starting-style":""}:state2==="ending"?{"data-ending-style":""}:{}}function getAriaChecked(checked,indeterminate){return indeterminate?"mixed":checked?"true":"false"}class BitsAttrs{#variant;#prefix;attrs;constructor(config2){this.#variant=config2.getVariant?config2.getVariant():null,this.#prefix=this.#variant?`data-${this.#variant}-`:`data-${config2.component}-`,this.getAttr=this.getAttr.bind(this),this.selector=this.selector.bind(this),this.attrs=Object.fromEntries(
+config2.parts.map(part=>[part,this.getAttr(part)]))}getAttr(part,variantOverride){return variantOverride?`data-${variantOverride}-${part}`:`${this.#prefix}${part}`}selector(part,variantOverride){return`[${this.getAttr(part,variantOverride)}]`}}function createBitsAttrs(config2){const bitsAttrs=new BitsAttrs(config2);return{...bitsAttrs.attrs,selector:bitsAttrs.selector,getAttr:bitsAttrs.getAttr}}const ARROW_DOWN="ArrowDown",ARROW_LEFT="ArrowLeft",ARROW_RIGHT="ArrowRight",ARROW_UP="ArrowUp",END="E\
+nd",ENTER="Enter",ESCAPE="Escape",HOME="Home",PAGE_DOWN="PageDown",PAGE_UP="PageUp",SPACE=" ",TAB="Tab";function getElemDirection(elem){return window.getComputedStyle(elem).getPropertyValue("direction")}function getNextKey(dir="ltr",orientation="horizontal"){return{horizontal:dir==="rtl"?ARROW_LEFT:ARROW_RIGHT,vertical:ARROW_DOWN}[orientation]}function getPrevKey(dir="ltr",orientation="horizontal"){return{horizontal:dir==="rtl"?ARROW_RIGHT:ARROW_LEFT,vertical:ARROW_UP}[orientation]}function getDirectionalKeys(dir="\
+ltr",orientation="horizontal"){return["ltr","rtl"].includes(dir)||(dir="ltr"),["horizontal","vertical"].includes(orientation)||(orientation="horizontal"),{nextKey:getNextKey(dir,orientation),prevKey:getPrevKey(dir,orientation)}}const isBrowser$2=typeof document<"u",isIOS=getIsIOS();function getIsIOS(){return isBrowser$2&&window?.navigator?.userAgent&&(/iP(ad|hone|od)/.test(window.navigator.userAgent)||window?.navigator?.maxTouchPoints>2&&/iPad|Macintosh/.test(window?.navigator.userAgent))}function isHTMLElement$1(element2){
+return element2 instanceof HTMLElement}function isElement$1(element2){return element2 instanceof Element}function isElementOrSVGElement(element2){return element2 instanceof Element||element2 instanceof SVGElement}function isTouch(e){return e.pointerType==="touch"}function isFocusVisible(element2){return element2.matches(":focus-visible")}function isNotNull(value){return value!==null}function isSelectableInput(element2){return element2 instanceof HTMLInputElement&&"select"in element2}class RovingFocusGroup{#opts;#currentTabStopId=box$1(
+null);constructor(opts){this.#opts=opts}getCandidateNodes(){return this.#opts.rootNode.current?this.#opts.candidateSelector?Array.from(this.#opts.rootNode.current.querySelectorAll(this.#opts.candidateSelector)):this.#opts.candidateAttr?Array.from(this.#opts.rootNode.current.querySelectorAll(`[${this.#opts.candidateAttr}]:not([data-disabled])`)):[]:[]}focusFirstCandidate(){const items2=this.getCandidateNodes();items2.length&&items2[0]?.focus()}handleKeydown(node2,e,both=!1){const rootNode=this.#opts.
+rootNode.current;if(!rootNode||!node2)return;const items2=this.getCandidateNodes();if(!items2.length)return;const currentIndex=items2.indexOf(node2),dir=getElemDirection(rootNode),{nextKey,prevKey}=getDirectionalKeys(dir,this.#opts.orientation.current),loop2=this.#opts.loop.current,keyToIndex={[nextKey]:currentIndex+1,[prevKey]:currentIndex-1,[HOME]:0,[END]:items2.length-1};if(both){const altNextKey=nextKey===ARROW_DOWN?ARROW_RIGHT:ARROW_DOWN,altPrevKey=prevKey===ARROW_UP?ARROW_LEFT:ARROW_UP;keyToIndex[altNextKey]=
+currentIndex+1,keyToIndex[altPrevKey]=currentIndex-1}let itemIndex=keyToIndex[e.key];if(itemIndex===void 0)return;e.preventDefault(),itemIndex<0&&loop2?itemIndex=items2.length-1:itemIndex===items2.length&&loop2&&(itemIndex=0);const itemToFocus=items2[itemIndex];if(itemToFocus)return itemToFocus.focus(),this.#currentTabStopId.current=itemToFocus.id,this.#opts.onCandidateFocus?.(itemToFocus),itemToFocus}getTabIndex(node2){const items2=this.getCandidateNodes(),anyActive=this.#currentTabStopId.current!==
+null;return node2&&!anyActive&&items2[0]===node2?(this.#currentTabStopId.current=node2.id,0):node2?.id===this.#currentTabStopId.current?0:-1}setCurrentTabStopId(id2){this.#currentTabStopId.current=id2}focusCurrentTabStop(){const currentTabStopId=this.#currentTabStopId.current;if(!currentTabStopId)return;const currentTabStop=this.#opts.rootNode.current?.querySelector(`#${currentTabStopId}`);!currentTabStop||!isHTMLElement$1(currentTabStop)||currentTabStop.focus()}}class AnimationsComplete{#opts;#currentFrame=null;#observer=null;#runId=0;constructor(opts){
+this.#opts=opts,onDestroyEffect(()=>this.#cleanup())}#cleanup(){this.#currentFrame!==null&&(window.cancelAnimationFrame(this.#currentFrame),this.#currentFrame=null),this.#observer?.disconnect(),this.#observer=null,this.#runId++}run(fn){this.#cleanup();const node2=this.#opts.ref.current;if(!node2)return;if(typeof node2.getAnimations!="function"){this.#executeCallback(fn);return}const runId=this.#runId,executeIfCurrent=()=>{runId===this.#runId&&this.#executeCallback(fn)},waitForAnimations=()=>{if(runId!==
+this.#runId)return;const animations=node2.getAnimations();if(animations.length===0){executeIfCurrent();return}Promise.all(animations.map(animation=>animation.finished)).then(()=>{executeIfCurrent()}).catch(()=>{if(runId!==this.#runId)return;if(node2.getAnimations().some(animation=>animation.pending||animation.playState!=="finished")){waitForAnimations();return}executeIfCurrent()})},requestWaitForAnimations=()=>{this.#currentFrame=window.requestAnimationFrame(()=>{this.#currentFrame=null,waitForAnimations()})};
+if(!this.#opts.afterTick.current){requestWaitForAnimations();return}this.#currentFrame=window.requestAnimationFrame(()=>{this.#currentFrame=null;const startingStyleAttr="data-starting-style";if(!node2.hasAttribute(startingStyleAttr)){requestWaitForAnimations();return}this.#observer=new MutationObserver(()=>{runId===this.#runId&&(node2.hasAttribute(startingStyleAttr)||(this.#observer?.disconnect(),this.#observer=null,requestWaitForAnimations()))}),this.#observer.observe(node2,{attributes:!0,attributeFilter:[
+startingStyleAttr]})})}#executeCallback(fn){const execute=()=>{fn()};this.#opts.afterTick?afterTick(execute):execute()}}class PresenceManager{#opts;#enabled;#afterAnimations;#shouldRender=state$1(!1);#transitionStatus=state$1(void 0);#hasMounted=!1;#transitionFrame=null;constructor(opts){this.#opts=opts,set$1(this.#shouldRender,opts.open.current,!0),this.#enabled=opts.enabled??!0,this.#afterAnimations=new AnimationsComplete({ref:this.#opts.ref,afterTick:this.#opts.open}),onDestroyEffect(()=>this.#clearTransitionFrame()),
+watch$1(()=>this.#opts.open.current,isOpen=>{if(!this.#hasMounted){this.#hasMounted=!0;return}if(this.#clearTransitionFrame(),!isOpen&&this.#opts.shouldSkipExitAnimation?.()){set$1(this.#shouldRender,!1),set$1(this.#transitionStatus,void 0),this.#opts.onComplete?.();return}if(isOpen&&set$1(this.#shouldRender,!0),set$1(this.#transitionStatus,isOpen?"starting":"ending",!0),isOpen&&(this.#transitionFrame=window.requestAnimationFrame(()=>{this.#transitionFrame=null,this.#opts.open.current&&set$1(this.#transitionStatus,
+void 0)})),!this.#enabled){isOpen||set$1(this.#shouldRender,!1),set$1(this.#transitionStatus,void 0),this.#opts.onComplete?.();return}this.#afterAnimations.run(()=>{isOpen===this.#opts.open.current&&(this.#opts.open.current||set$1(this.#shouldRender,!1),set$1(this.#transitionStatus,void 0),this.#opts.onComplete?.())})})}get shouldRender(){return get$3(this.#shouldRender)}get transitionStatus(){return get$3(this.#transitionStatus)}#clearTransitionFrame(){this.#transitionFrame!==null&&(window.cancelAnimationFrame(
+this.#transitionFrame),this.#transitionFrame=null)}}function noop$1(){}function createId(prefixOrUid,uid2){return`bits-${prefixOrUid}`}const dialogAttrs=createBitsAttrs({component:"dialog",parts:["content","trigger","overlay","title","description","close","cancel","action"]}),DialogRootContext=new Context$1("Dialog.Root | AlertDialog.Root");class DialogRootState{static create(opts){const parent=DialogRootContext.getOr(null);return DialogRootContext.set(new DialogRootState(opts,parent))}opts;#triggerNode=state$1(
+null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$3(this.#overlayNode)}set overlayNode(value){set$1(this.#overlayNode,value,!0)}#descriptionNode=state$1(null);get descriptionNode(){return get$3(this.#descriptionNode)}set descriptionNode(value){set$1(
+this.#descriptionNode,value,!0)}#contentId=state$1(void 0);get contentId(){return get$3(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}#titleId=state$1(void 0);get titleId(){return get$3(this.#titleId)}set titleId(value){set$1(this.#titleId,value,!0)}#triggerId=state$1(void 0);get triggerId(){return get$3(this.#triggerId)}set triggerId(value){set$1(this.#triggerId,value,!0)}#descriptionId=state$1(void 0);get descriptionId(){return get$3(this.#descriptionId)}set descriptionId(value){
+set$1(this.#descriptionId,value,!0)}#cancelNode=state$1(null);get cancelNode(){return get$3(this.#cancelNode)}set cancelNode(value){set$1(this.#cancelNode,value,!0)}#nestedOpenCount=state$1(0);get nestedOpenCount(){return get$3(this.#nestedOpenCount)}set nestedOpenCount(value){set$1(this.#nestedOpenCount,value,!0)}depth;parent;contentPresence;overlayPresence;constructor(opts,parent){this.opts=opts,this.parent=parent,this.depth=parent?parent.depth+1:0,this.handleOpen=this.handleOpen.bind(this),this.
+handleClose=this.handleClose.bind(this),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,enabled:!0,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open,enabled:!0}),watch$1(()=>this.opts.open.current,isOpen=>{this.parent&&(isOpen?this.parent.incrementNested():this.parent.decrementNested())},{lazy:!0}),onDestroyEffect(()=>{
+this.opts.open.current&&this.parent?.decrementNested()})}handleOpen(){this.opts.open.current||(this.opts.open.current=!0)}handleClose(){this.opts.open.current&&(this.opts.open.current=!1)}getBitsAttr=part=>dialogAttrs.getAttr(part,this.opts.variant.current);incrementNested(){this.nestedOpenCount++,this.parent?.incrementNested()}decrementNested(){this.nestedOpenCount!==0&&(this.nestedOpenCount--,this.parent?.decrementNested())}#sharedProps=user_derived(()=>({"data-state":getDataOpenClosed(this.opts.
+open.current)}));get sharedProps(){return get$3(this.#sharedProps)}set sharedProps(value){set$1(this.#sharedProps,value)}}class DialogCloseState{static create(opts){return new DialogCloseState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){this.opts.disabled.current||e.button>0||this.root.handleClose()}onkeydown(e){
+this.opts.disabled.current||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.handleClose())}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr(this.opts.variant.current)]:"",onclick:this.onclick,onkeydown:this.onkeydown,disabled:this.opts.disabled.current?!0:void 0,tabindex:0,...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DialogActionState{static create(opts){return new DialogActionState(
+opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("action")]:"",...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DialogTitleState{static create(opts){return new DialogTitleState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.root.titleId=this.opts.id.current,this.attachment=attachRef(this.opts.ref),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.titleId=id2})}#props=user_derived(()=>({id:this.opts.id.current,role:"heading","aria-level":this.opts.level.current,[this.root.getBitsAttr("title")]:"",...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DialogDescriptionState{static create(opts){return new DialogDescriptionState(
+opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.root.descriptionId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>{this.root.descriptionNode=v}),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.descriptionId=id2})}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("description")]:"",...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,
+value)}}class DialogContentState{static create(opts){return new DialogContentState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>{this.root.contentNode=v,this.root.contentId=v?.id})}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.
+id.current,role:this.root.opts.variant.current==="alert-dialog"?"alertdialog":"dialog","aria-modal":"true","aria-describedby":this.root.descriptionId,"aria-labelledby":this.root.titleId,[this.root.getBitsAttr("content")]:"",style:{pointerEvents:"auto",outline:this.root.opts.variant.current==="alert-dialog"?"none":void 0,"--bits-dialog-depth":this.root.depth,"--bits-dialog-nested-count":this.root.nestedOpenCount,contain:"layout style"},tabindex:this.root.opts.variant.current==="alert-dialog"?-1:void 0,
+"data-nested-open":boolToEmptyStrOrUndef(this.root.nestedOpenCount>0),"data-nested":boolToEmptyStrOrUndef(this.root.parent!==null),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}get shouldRender(){return this.root.contentPresence.shouldRender}}class DialogOverlayState{static create(opts){return new DialogOverlayState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.overlayNode=v)}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("overlay")]:"",style:{pointerEvents:"auto","--bits-dialog-depth":this.root.depth,"--bits-dialog-nested-count":this.root.nestedOpenCount},"data-nested-o\
+pen":boolToEmptyStrOrUndef(this.root.nestedOpenCount>0),"data-nested":boolToEmptyStrOrUndef(this.root.parent!==null),...getDataTransitionAttrs(this.root.overlayPresence.transitionStatus),...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}get shouldRender(){return this.root.overlayPresence.shouldRender}}class AlertDialogCancelState{static create(opts){return new AlertDialogCancelState(opts,DialogRootContext.get())}opts;root;attachment;constructor(opts,root2){
+this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.cancelNode=v),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){this.opts.disabled.current||e.button>0||this.root.handleClose()}onkeydown(e){this.opts.disabled.current||(e.key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.handleClose())}#props=user_derived(()=>({id:this.opts.id.current,[this.root.getBitsAttr("cancel")]:"",onclick:this.onclick,onkeydown:this.onkeydown,
+tabindex:0,...this.root.sharedProps,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function Alert_dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"alert-dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(
+()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_2$1B=from_html("<div><!></div>");function Dialog_title$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),level=prop($$props,"level",3,2),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","level"]);
+const titleState=DialogTitleState.create({id:boxWith$1(()=>id2()),level:boxWith$1(()=>level()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,titleState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1B();attribute_effect(div,
+()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1A=from_html("<button><!></button>");function Alert_dialog_action$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,[
+"$$slots","$$events","$$legacy","children","child","id","ref"]);const actionState=DialogActionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,actionState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1A();
+attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1z=from_html("<button><!></button>");function Alert_dialog_cancel$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),
+disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","disabled"]);const cancelState=AlertDialogCancelState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,cancelState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);
+snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1z();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Portal_consumer($$anchor,$$props){var fragment=comment$2(),node2=first_child(
+fragment);key$1(node2,()=>$$props.children,$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)}),append($$anchor,fragment)}const BitsConfigContext=new Context$1("BitsConfig");function getBitsConfig(){const fallback2=new BitsConfigState(null,{});return BitsConfigContext.getOr(fallback2).opts}class BitsConfigState{opts;constructor(parent,opts){const resolveConfigOption=createConfigResolver(parent,opts);this.
+opts={defaultPortalTo:resolveConfigOption(config2=>config2.defaultPortalTo),defaultLocale:resolveConfigOption(config2=>config2.defaultLocale)}}}function createConfigResolver(parent,currentOpts){return getter=>boxWith$1(()=>{const value=getter(currentOpts)?.current;if(value!==void 0)return value;if(parent!==null)return getter(parent.opts)?.current})}function createPropResolver(configOption,fallback2){return getProp=>{const config2=getBitsConfig();return boxWith$1(()=>{const propValue=getProp();if(propValue!==
+void 0)return propValue;const option2=configOption(config2).current;return option2!==void 0?option2:fallback2})}}const resolvePortalToProp=createPropResolver(config2=>config2.defaultPortalTo,"body");function Portal$2($$anchor,$$props){push$1($$props,!0);const to=resolvePortalToProp(()=>$$props.to),context=getAllContexts();let target2=user_derived(getTarget);function getTarget(){if(!isBrowser$2||$$props.disabled)return null;let localTarget=null;return typeof to.current=="string"?localTarget=document.
+querySelector(to.current):localTarget=to.current,localTarget}let instance;function unmountInstance(){instance&&(unmount(instance),instance=null)}watch$1([()=>get$3(target2),()=>$$props.disabled],([target3,disabled])=>{if(!target3||disabled){unmountInstance();return}return instance=mount(Portal_consumer,{target:target3,props:{children:$$props.children},context}),()=>{unmountInstance()}});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(
+fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.disabled&&$$render(consequent)})}append($$anchor,fragment),pop()}class CustomEventDispatcher{eventName;options;constructor(eventName,options={bubbles:!0,cancelable:!0}){this.eventName=eventName,this.options=options}createEvent(detail){return new CustomEvent(this.eventName,{...this.options,detail})}dispatch(element2,detail){const event2=this.createEvent(detail);return element2.
+dispatchEvent(event2),event2}listen(element2,callback,options){const handler=event2=>{callback(event2)};return on(element2,this.eventName,handler,options)}}function debounce$1(fn,wait=500){let timeout=null;const debounced=(...args)=>{timeout!==null&&clearTimeout(timeout),timeout=setTimeout(()=>{fn(...args)},wait)};return debounced.destroy=()=>{timeout!==null&&(clearTimeout(timeout),timeout=null)},debounced}function isOrContainsTarget(node2,target2){return node2===target2||node2.contains(target2)}
+function getOwnerDocument(el){return el?.ownerDocument??document}function isClickTrulyOutside(event2,contentNode){const{clientX,clientY}=event2,rect=contentNode.getBoundingClientRect();return clientX<rect.left||clientX>rect.right||clientY<rect.top||clientY>rect.bottom}const SELECTION_KEYS=[ENTER,SPACE],FIRST_KEYS$1=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS$1=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS$1=[...FIRST_KEYS$1,...LAST_KEYS$1],SUB_OPEN_KEYS={ltr:[...SELECTION_KEYS,ARROW_RIGHT],rtl:[...SELECTION_KEYS,
+ARROW_LEFT]},SUB_CLOSE_KEYS={ltr:[ARROW_LEFT],rtl:[ARROW_RIGHT]};function isMouseEvent(event2){return event2.pointerType==="mouse"}function focus(element2,{select=!1}={}){if(!element2||!element2.focus)return;const doc=getDocument$1(element2);if(doc.activeElement===element2)return;const previouslyFocusedElement=doc.activeElement;element2.focus({preventScroll:!0}),element2!==previouslyFocusedElement&&isSelectableInput(element2)&&select&&element2.select()}function focusFirst(candidates,{select=!1}={},getActiveElement2){
+const previouslyFocusedElement=getActiveElement2();for(const candidate of candidates)if(focus(candidate,{select}),getActiveElement2()!==previouslyFocusedElement)return!0}let isUsingKeyboard=state$1(!1);class IsUsingKeyboard{static _refs=0;static _cleanup;constructor(){user_effect(()=>(IsUsingKeyboard._refs===0&&(IsUsingKeyboard._cleanup=effect_root(()=>{const callbacksToDispose=[],handlePointer=_=>{set$1(isUsingKeyboard,!1)},handleKeydown=_=>{set$1(isUsingKeyboard,!0)};return callbacksToDispose.
+push(on(document,"pointerdown",handlePointer,{capture:!0}),on(document,"pointermove",handlePointer,{capture:!0}),on(document,"keydown",handleKeydown,{capture:!0})),executeCallbacks(...callbacksToDispose)})),IsUsingKeyboard._refs++,()=>{IsUsingKeyboard._refs--,IsUsingKeyboard._refs===0&&(set$1(isUsingKeyboard,!1),IsUsingKeyboard._cleanup?.())}))}get current(){return get$3(isUsingKeyboard)}set current(value){set$1(isUsingKeyboard,value,!0)}}var candidateSelectors=["input:not([inert])","select:not(\
+[inert])","textarea:not([inert])","a[href]:not([inert])","button:not([inert])","[tabindex]:not(slot):not([inert])","audio[controls]:not([inert])","video[controls]:not([inert])",'[contenteditable]:not([contenteditable="false"]):not([inert])',"details>summary:first-of-type:not([inert])","details:not([inert])"],candidateSelector=candidateSelectors.join(","),NoElement=typeof Element>"u",matches=NoElement?function(){}:Element.prototype.matches||Element.prototype.msMatchesSelector||Element.prototype.webkitMatchesSelector,
+getRootNode=!NoElement&&Element.prototype.getRootNode?function(element2){var _element$getRootNode;return element2==null||(_element$getRootNode=element2.getRootNode)===null||_element$getRootNode===void 0?void 0:_element$getRootNode.call(element2)}:function(element2){return element2?.ownerDocument},isInert=function isInert2(node2,lookUp){var _node$getAttribute;lookUp===void 0&&(lookUp=!0);var inertAtt=node2==null||(_node$getAttribute=node2.getAttribute)===null||_node$getAttribute===void 0?void 0:_node$getAttribute.
+call(node2,"inert"),inert=inertAtt===""||inertAtt==="true",result=inert||lookUp&&node2&&isInert2(node2.parentNode);return result},isContentEditable=function(node2){var _node$getAttribute2,attValue=node2==null||(_node$getAttribute2=node2.getAttribute)===null||_node$getAttribute2===void 0?void 0:_node$getAttribute2.call(node2,"contenteditable");return attValue===""||attValue==="true"},getCandidates=function(el,includeContainer,filter){if(isInert(el))return[];var candidates=Array.prototype.slice.apply(
+el.querySelectorAll(candidateSelector));return includeContainer&&matches.call(el,candidateSelector)&&candidates.unshift(el),candidates=candidates.filter(filter),candidates},getCandidatesIteratively=function getCandidatesIteratively2(elements,includeContainer,options){for(var candidates=[],elementsToCheck=Array.from(elements);elementsToCheck.length;){var element2=elementsToCheck.shift();if(!isInert(element2,!1))if(element2.tagName==="SLOT"){var assigned=element2.assignedElements(),content2=assigned.
+length?assigned:element2.children,nestedCandidates=getCandidatesIteratively2(content2,!0,options);options.flatten?candidates.push.apply(candidates,nestedCandidates):candidates.push({scopeParent:element2,candidates:nestedCandidates})}else{var validCandidate=matches.call(element2,candidateSelector);validCandidate&&options.filter(element2)&&(includeContainer||!elements.includes(element2))&&candidates.push(element2);var shadowRoot=element2.shadowRoot||typeof options.getShadowRoot=="function"&&options.
+getShadowRoot(element2),validShadowRoot=!isInert(shadowRoot,!1)&&(!options.shadowRootFilter||options.shadowRootFilter(element2));if(shadowRoot&&validShadowRoot){var _nestedCandidates=getCandidatesIteratively2(shadowRoot===!0?element2.children:shadowRoot.children,!0,options);options.flatten?candidates.push.apply(candidates,_nestedCandidates):candidates.push({scopeParent:element2,candidates:_nestedCandidates})}else elementsToCheck.unshift.apply(elementsToCheck,element2.children)}}return candidates},
+hasTabIndex=function(node2){return!isNaN(parseInt(node2.getAttribute("tabindex"),10))},getTabIndex=function(node2){if(!node2)throw new Error("No node provided");return node2.tabIndex<0&&(/^(AUDIO|VIDEO|DETAILS)$/.test(node2.tagName)||isContentEditable(node2))&&!hasTabIndex(node2)?0:node2.tabIndex},getSortOrderTabIndex=function(node2,isScope){var tabIndex=getTabIndex(node2);return tabIndex<0&&isScope&&!hasTabIndex(node2)?0:tabIndex},sortOrderedTabbables=function(a,b){return a.tabIndex===b.tabIndex?
+a.documentOrder-b.documentOrder:a.tabIndex-b.tabIndex},isInput=function(node2){return node2.tagName==="INPUT"},isHiddenInput=function(node2){return isInput(node2)&&node2.type==="hidden"},isDetailsWithSummary=function(node2){var r2=node2.tagName==="DETAILS"&&Array.prototype.slice.apply(node2.children).some(function(child2){return child2.tagName==="SUMMARY"});return r2},getCheckedRadio=function(nodes2,form){for(var i=0;i<nodes2.length;i++)if(nodes2[i].checked&&nodes2[i].form===form)return nodes2[i]},
+isTabbableRadio=function(node2){if(!node2.name)return!0;var radioScope=node2.form||getRootNode(node2),queryRadios=function(name){return radioScope.querySelectorAll('input[type="radio"][name="'+name+'"]')},radioSet;if(typeof window<"u"&&typeof window.CSS<"u"&&typeof window.CSS.escape=="function")radioSet=queryRadios(window.CSS.escape(node2.name));else try{radioSet=queryRadios(node2.name)}catch(err){return console.error("Looks like you have a radio button with a name attribute containing invalid C\
+SS selector characters and need the CSS.escape polyfill: %s",err.message),!1}var checked=getCheckedRadio(radioSet,node2.form);return!checked||checked===node2},isRadio=function(node2){return isInput(node2)&&node2.type==="radio"},isNonTabbableRadio=function(node2){return isRadio(node2)&&!isTabbableRadio(node2)},isNodeAttached=function(node2){var _nodeRoot,nodeRoot=node2&&getRootNode(node2),nodeRootHost=(_nodeRoot=nodeRoot)===null||_nodeRoot===void 0?void 0:_nodeRoot.host,attached=!1;if(nodeRoot&&nodeRoot!==
+node2){var _nodeRootHost,_nodeRootHost$ownerDo,_node$ownerDocument;for(attached=!!((_nodeRootHost=nodeRootHost)!==null&&_nodeRootHost!==void 0&&(_nodeRootHost$ownerDo=_nodeRootHost.ownerDocument)!==null&&_nodeRootHost$ownerDo!==void 0&&_nodeRootHost$ownerDo.contains(nodeRootHost)||node2!=null&&(_node$ownerDocument=node2.ownerDocument)!==null&&_node$ownerDocument!==void 0&&_node$ownerDocument.contains(node2));!attached&&nodeRootHost;){var _nodeRoot2,_nodeRootHost2,_nodeRootHost2$ownerD;nodeRoot=getRootNode(
+nodeRootHost),nodeRootHost=(_nodeRoot2=nodeRoot)===null||_nodeRoot2===void 0?void 0:_nodeRoot2.host,attached=!!((_nodeRootHost2=nodeRootHost)!==null&&_nodeRootHost2!==void 0&&(_nodeRootHost2$ownerD=_nodeRootHost2.ownerDocument)!==null&&_nodeRootHost2$ownerD!==void 0&&_nodeRootHost2$ownerD.contains(nodeRootHost))}}return attached},isZeroArea=function(node2){var _node$getBoundingClie=node2.getBoundingClientRect(),width=_node$getBoundingClie.width,height=_node$getBoundingClie.height;return width===
+0&&height===0},isHidden=function(node2,_ref){var displayCheck=_ref.displayCheck,getShadowRoot=_ref.getShadowRoot;if(getComputedStyle(node2).visibility==="hidden")return!0;var isDirectSummary=matches.call(node2,"details>summary:first-of-type"),nodeUnderDetails=isDirectSummary?node2.parentElement:node2;if(matches.call(nodeUnderDetails,"details:not([open]) *"))return!0;if(!displayCheck||displayCheck==="full"||displayCheck==="legacy-full"){if(typeof getShadowRoot=="function"){for(var originalNode=node2;node2;){
+var parentElement=node2.parentElement,rootNode=getRootNode(node2);if(parentElement&&!parentElement.shadowRoot&&getShadowRoot(parentElement)===!0)return isZeroArea(node2);node2.assignedSlot?node2=node2.assignedSlot:!parentElement&&rootNode!==node2.ownerDocument?node2=rootNode.host:node2=parentElement}node2=originalNode}if(isNodeAttached(node2))return!node2.getClientRects().length;if(displayCheck!=="legacy-full")return!0}else if(displayCheck==="non-zero-area")return isZeroArea(node2);return!1},isDisabledFromFieldset=function(node2){
+if(/^(INPUT|BUTTON|SELECT|TEXTAREA)$/.test(node2.tagName))for(var parentNode=node2.parentElement;parentNode;){if(parentNode.tagName==="FIELDSET"&&parentNode.disabled){for(var i=0;i<parentNode.children.length;i++){var child2=parentNode.children.item(i);if(child2.tagName==="LEGEND")return matches.call(parentNode,"fieldset[disabled] *")?!0:!child2.contains(node2)}return!0}parentNode=parentNode.parentElement}return!1},isNodeMatchingSelectorFocusable=function(options,node2){return!(node2.disabled||isInert(
+node2)||isHiddenInput(node2)||isHidden(node2,options)||isDetailsWithSummary(node2)||isDisabledFromFieldset(node2))},isNodeMatchingSelectorTabbable=function(options,node2){return!(isNonTabbableRadio(node2)||getTabIndex(node2)<0||!isNodeMatchingSelectorFocusable(options,node2))},isValidShadowRootTabbable=function(shadowHostNode){var tabIndex=parseInt(shadowHostNode.getAttribute("tabindex"),10);return!!(isNaN(tabIndex)||tabIndex>=0)},sortByOrder=function sortByOrder2(candidates){var regularTabbables=[],
+orderedTabbables=[];return candidates.forEach(function(item,i){var isScope=!!item.scopeParent,element2=isScope?item.scopeParent:item,candidateTabindex=getSortOrderTabIndex(element2,isScope),elements=isScope?sortByOrder2(item.candidates):element2;candidateTabindex===0?isScope?regularTabbables.push.apply(regularTabbables,elements):regularTabbables.push(element2):orderedTabbables.push({documentOrder:i,tabIndex:candidateTabindex,item,isScope,content:elements})}),orderedTabbables.sort(sortOrderedTabbables).
+reduce(function(acc,sortable){return sortable.isScope?acc.push.apply(acc,sortable.content):acc.push(sortable.content),acc},[]).concat(regularTabbables)},tabbable=function(container2,options){options=options||{};var candidates;return options.getShadowRoot?candidates=getCandidatesIteratively([container2],options.includeContainer,{filter:isNodeMatchingSelectorTabbable.bind(null,options),flatten:!1,getShadowRoot:options.getShadowRoot,shadowRootFilter:isValidShadowRootTabbable}):candidates=getCandidates(
+container2,options.includeContainer,isNodeMatchingSelectorTabbable.bind(null,options)),sortByOrder(candidates)},focusable=function(container2,options){options=options||{};var candidates;return options.getShadowRoot?candidates=getCandidatesIteratively([container2],options.includeContainer,{filter:isNodeMatchingSelectorFocusable.bind(null,options),flatten:!0,getShadowRoot:options.getShadowRoot}):candidates=getCandidates(container2,options.includeContainer,isNodeMatchingSelectorFocusable.bind(null,
+options)),candidates},isTabbable=function(node2,options){if(options=options||{},!node2)throw new Error("No node provided");return matches.call(node2,candidateSelector)===!1?!1:isNodeMatchingSelectorTabbable(options,node2)},focusableCandidateSelector=candidateSelectors.concat("iframe").join(","),isFocusable=function(node2,options){if(options=options||{},!node2)throw new Error("No node provided");return matches.call(node2,focusableCandidateSelector)===!1?!1:isNodeMatchingSelectorFocusable(options,
+node2)};function getTabbableOptions(){return{getShadowRoot:!0,displayCheck:typeof ResizeObserver=="function"&&ResizeObserver.toString().includes("[native code]")?"full":"none"}}function getTabbableFrom(currentNode,direction){if(!isTabbable(currentNode,getTabbableOptions()))return getTabbableFromFocusable(currentNode,direction);const doc=getDocument$1(currentNode),allTabbable=tabbable(doc.body,getTabbableOptions());direction==="prev"&&allTabbable.reverse();const activeIndex=allTabbable.indexOf(currentNode);
+return activeIndex===-1?doc.body:allTabbable.slice(activeIndex+1)[0]}function getTabbableFromFocusable(currentNode,direction){const doc=getDocument$1(currentNode);if(!isFocusable(currentNode,getTabbableOptions()))return doc.body;const allFocusable=focusable(doc.body,getTabbableOptions());direction==="prev"&&allFocusable.reverse();const activeIndex=allFocusable.indexOf(currentNode);return activeIndex===-1?doc.body:allFocusable.slice(activeIndex+1).find(node2=>isTabbable(node2,getTabbableOptions()))??
+doc.body}function next(array2,index2,loop2=!0){if(!(array2.length===0||index2<0||index2>=array2.length))return array2.length===1&&index2===0?array2[0]:index2===array2.length-1?loop2?array2[0]:void 0:array2[index2+1]}function prev(array2,index2,loop2=!0){if(!(array2.length===0||index2<0||index2>=array2.length))return array2.length===1&&index2===0?array2[0]:index2===0?loop2?array2[array2.length-1]:void 0:array2[index2-1]}function forward(array2,index2,increment2,loop2=!0){if(array2.length===0||index2<
+0||index2>=array2.length)return;let targetIndex=index2+increment2;return loop2?targetIndex=(targetIndex%array2.length+array2.length)%array2.length:targetIndex=Math.max(0,Math.min(targetIndex,array2.length-1)),array2[targetIndex]}function backward(array2,index2,decrement,loop2=!0){if(array2.length===0||index2<0||index2>=array2.length)return;let targetIndex=index2-decrement;return loop2?targetIndex=(targetIndex%array2.length+array2.length)%array2.length:targetIndex=Math.max(0,Math.min(targetIndex,
+array2.length-1)),array2[targetIndex]}function getNextMatch(values,search2,currentMatch){const lowerSearch=search2.toLowerCase();if(lowerSearch.endsWith(" ")){const searchWithoutSpace=lowerSearch.slice(0,-1);if(values.filter(value=>value.toLowerCase().startsWith(searchWithoutSpace)).length<=1)return getNextMatch(values,searchWithoutSpace,currentMatch);const currentMatchLowercase=currentMatch?.toLowerCase();if(currentMatchLowercase&&currentMatchLowercase.startsWith(searchWithoutSpace)&&currentMatchLowercase.
+charAt(searchWithoutSpace.length)===" "&&search2.trim()===searchWithoutSpace)return currentMatch;const spacedMatches=values.filter(value=>value.toLowerCase().startsWith(lowerSearch));if(spacedMatches.length>0){const currentMatchIndex2=currentMatch?values.indexOf(currentMatch):-1;return wrapArray(spacedMatches,Math.max(currentMatchIndex2,0)).find(match=>match!==currentMatch)||currentMatch}}const normalizedSearch=search2.length>1&&Array.from(search2).every(char=>char===search2[0])?search2[0]:search2,
+normalizedLowerSearch=normalizedSearch.toLowerCase(),currentMatchIndex=currentMatch?values.indexOf(currentMatch):-1;let wrappedValues=wrapArray(values,Math.max(currentMatchIndex,0));normalizedSearch.length===1&&(wrappedValues=wrappedValues.filter(v=>v!==currentMatch));const nextMatch=wrappedValues.find(value=>value?.toLowerCase().startsWith(normalizedLowerSearch));return nextMatch!==currentMatch?nextMatch:void 0}function wrapArray(array2,startIndex){return array2.map((_,index2)=>array2[(startIndex+
+index2)%array2.length])}const defaultOptions={afterMs:1e4,onChange:noop$1};function boxAutoReset(defaultValue,options){const{afterMs,onChange,getWindow:getWindow2}={...defaultOptions,...options};let timeout=null,value=state$1(proxy(defaultValue));function resetAfter(){return getWindow2().setTimeout(()=>{set$1(value,defaultValue,!0),onChange?.(defaultValue)},afterMs)}return user_effect(()=>()=>{timeout&&getWindow2().clearTimeout(timeout)}),boxWith$1(()=>get$3(value),v=>{set$1(value,v,!0),onChange?.(
+v),timeout&&getWindow2().clearTimeout(timeout),timeout=resetAfter()})}class DOMTypeahead{#opts;#search;#onMatch=user_derived(()=>this.#opts.onMatch?this.#opts.onMatch:node2=>node2.focus());#getCurrentItem=user_derived(()=>this.#opts.getCurrentItem?this.#opts.getCurrentItem:this.#opts.getActiveElement);constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:opts.getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.
+bind(this)}handleTypeaheadSearch(key2,candidates){if(!candidates.length)return;this.#search.current=this.#search.current+key2;const currentItem=get$3(this.#getCurrentItem)(),currentMatch=candidates.find(item=>item===currentItem)?.textContent?.trim()??"",values=candidates.map(item=>item.textContent?.trim()??""),nextMatch=getNextMatch(values,this.#search.current,currentMatch),newItem=candidates.find(item=>item.textContent?.trim()===nextMatch);return newItem&&get$3(this.#onMatch)(newItem),newItem}resetTypeahead(){
+this.#search.current=""}get search(){return this.#search.current}}const CONTEXT_MENU_TRIGGER_ATTR="data-context-menu-trigger",CONTEXT_MENU_CONTENT_ATTR="data-context-menu-content",MenuRootContext=new Context$1("Menu.Root"),MenuMenuContext=new Context$1("Menu.Root | Menu.Sub"),MenuContentContext=new Context$1("Menu.Content"),MenuOpenEvent=new CustomEventDispatcher("bitsmenuopen",{bubbles:!1,cancelable:!0}),menuAttrs=createBitsAttrs({component:"menu",parts:["trigger","content","sub-trigger","item",
+"group","group-heading","checkbox-group","checkbox-item","radio-group","radio-item","separator","sub-content","arrow"]});class MenuSubmenuIntent{#opts;#cleanupDocMove=null;#fallbackTimer=null;#active=!1;#target=null;#apex=null;#pointerPoint=null;#launchPoint=null;constructor(opts){this.#opts=opts,watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{if(this.#reset(),!triggerNode||!contentNode||!enabled)return;const onTriggerMove=e=>{isMouseEvent(e)&&(this.#launchPoint=
+{x:e.clientX,y:e.clientY},this.#active||this.#preview(e,"content"))},onTriggerLeave=e=>{isMouseEvent(e)&&this.#engage(e,"content")},onContentMove=e=>{isMouseEvent(e)&&(this.#active||this.#preview(e,"trigger"))},onContentLeave=e=>{if(isMouseEvent(e)){if(isElement$1(e.relatedTarget)){const selector=this.#opts.subContentSelector(),matchedSubContent=e.relatedTarget.closest(selector);if(matchedSubContent&&matchedSubContent!==contentNode&&matchedSubContent.id&&!!contentNode.querySelector(`[aria-contro\
+ls="${matchedSubContent.id}"]`))return}this.#engage(e,"trigger")}},onTriggerEnter=e=>{isMouseEvent(e)&&this.#disengage()},onContentEnter=e=>{isMouseEvent(e)&&this.#disengage()};return triggerNode.addEventListener("pointermove",onTriggerMove),triggerNode.addEventListener("pointerleave",onTriggerLeave),triggerNode.addEventListener("pointerenter",onTriggerEnter),contentNode.addEventListener("pointermove",onContentMove),contentNode.addEventListener("pointerleave",onContentLeave),contentNode.addEventListener(
+"pointerenter",onContentEnter),()=>{triggerNode.removeEventListener("pointermove",onTriggerMove),triggerNode.removeEventListener("pointerleave",onTriggerLeave),triggerNode.removeEventListener("pointerenter",onTriggerEnter),contentNode.removeEventListener("pointermove",onContentMove),contentNode.removeEventListener("pointerleave",onContentLeave),contentNode.removeEventListener("pointerenter",onContentEnter),this.#reset()}}),onDestroyEffect(()=>{this.#reset()})}#parentTargetRect(){const parent=this.#opts.
+parentContentNode();return parent?parent.getBoundingClientRect():this.#opts.triggerNode()?.getBoundingClientRect()??null}#computePolygons(pointerPt,target2){const triggerNode=this.#opts.triggerNode(),contentNode=this.#opts.contentNode();if(!triggerNode||!contentNode)return null;const triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect(),side=getSide$2(triggerRect,contentRect);let apex,targetRect,sourceRect;return target2==="content"?(apex=this.#active?this.#apex??
+pointerPt:pointerPt,targetRect=contentRect):(apex=this.#launchPoint??pointerPt,targetRect=this.#parentTargetRect()??triggerRect,sourceRect=contentRect),this.#apex=apex,{corridor:getCorridorPolygon(triggerRect,contentRect,side),intent:getIntentPolygon(apex,targetRect,side,target2,sourceRect),targetRect,side}}#isInSafeZone(pt,corridor,intent){return isPointInPolygon$1(pt,corridor)||isPointInPolygon$1(pt,intent)}#preview(e,target2){const pt={x:e.clientX,y:e.clientY};this.#computePolygons(pt,target2)&&
+(this.#target=target2,this.#pointerPoint=pt)}#engage(e,target2){if(!this.#opts.enabled())return;const triggerNode=this.#opts.triggerNode(),contentNode=this.#opts.contentNode();if(!triggerNode||!contentNode)return;const related=e.relatedTarget;if(isElement$1(related)&&(target2==="content"&&contentNode.contains(related)||target2==="trigger"&&triggerNode.contains(related)))return;const pt={x:e.clientX,y:e.clientY},geo=this.#computePolygons(pt,target2);if(geo){if(!isInsideRect$1(pt,geo.targetRect)&&
+!this.#isInSafeZone(pt,geo.corridor,geo.intent)){this.#clearVisuals();return}this.#active=!0,this.#target=target2,this.#pointerPoint=pt,this.#opts.setIsPointerInTransit(!0),this.#attachDocMove(),this.#startFallback()}}#disengageTimer=null;#disengage(){if(!this.#active)return;const wasReturning=this.#target==="trigger";this.#detachDocMove(),this.#clearFallback(),this.#active=!1,this.#clearVisuals(),wasReturning?(this.#clearDisengageTimer(),this.#disengageTimer=setTimeout(()=>{this.#disengageTimer=
+null,this.#opts.setIsPointerInTransit(!1)},100)):this.#opts.setIsPointerInTransit(!1)}#clearDisengageTimer(){this.#disengageTimer!==null&&(clearTimeout(this.#disengageTimer),this.#disengageTimer=null)}#intentExit(){const pointerPoint=this.#pointerPoint;this.#detachDocMove(),this.#clearFallback(),this.#clearDisengageTimer(),this.#active=!1,this.#opts.setIsPointerInTransit(!1),this.#clearVisuals(),this.#opts.onIntentExit(pointerPoint)}#reset(){this.#detachDocMove(),this.#clearFallback(),this.#clearDisengageTimer(),
+this.#active&&this.#opts.setIsPointerInTransit(!1),this.#active=!1,this.#target=null,this.#apex=null,this.#pointerPoint=null,this.#launchPoint=null}#isPointerInDescendantSubContent(pt){const contentNode=this.#opts.contentNode();if(!contentNode)return!1;const el=contentNode.ownerDocument.elementFromPoint(pt.x,pt.y);if(!el)return!1;const selector=this.#opts.subContentSelector(),subContent=el.closest(selector);return!subContent||subContent===contentNode?!1:subContent.id?!!contentNode.querySelector(
+`[aria-controls="${subContent.id}"]`):!1}#onDocMove=e=>{if(!this.#active||!this.#target||!isMouseEvent(e))return;const triggerNode=this.#opts.triggerNode(),contentNode=this.#opts.contentNode();if(!triggerNode||!contentNode){this.#intentExit();return}this.#clearFallback();const pt={x:e.clientX,y:e.clientY};this.#pointerPoint=pt;const triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect();if(this.#target==="content"&&isInsideRect$1(pt,contentRect)){this.#disengage();
+return}if(this.#target==="trigger"&&isInsideInsetRect(pt,triggerRect,4)){this.#disengage();return}if(this.#isPointerInDescendantSubContent(pt)){this.#startFallback();return}const geo=this.#computePolygons(pt,this.#target);if(!geo){this.#intentExit();return}if(this.#isInSafeZone(pt,geo.corridor,geo.intent)){this.#startFallback();return}this.#intentExit()};#attachDocMove(){if(this.#cleanupDocMove)return;const doc=getDocument$1(this.#opts.triggerNode()??this.#opts.contentNode());doc&&(doc.addEventListener(
+"pointermove",this.#onDocMove,!0),this.#cleanupDocMove=()=>{doc.removeEventListener("pointermove",this.#onDocMove,!0),this.#cleanupDocMove=null})}#detachDocMove(){this.#cleanupDocMove?.()}#startFallback(){this.#clearFallback(),this.#fallbackTimer=setTimeout(()=>{this.#fallbackTimer=null,this.#active&&this.#intentExit()},500)}#clearFallback(){this.#fallbackTimer!==null&&(clearTimeout(this.#fallbackTimer),this.#fallbackTimer=null)}#clearVisuals(){this.#target=null,this.#apex=null,this.#pointerPoint=
+null}}function isPointInPolygon$1(point2,polygon){const{x,y}=point2;let inside=!1;for(let i=0,j=polygon.length-1;i<polygon.length;j=i++){const xi=polygon[i].x,yi=polygon[i].y,xj=polygon[j].x,yj=polygon[j].y;yi>y!=yj>y&&x<(xj-xi)*(y-yi)/(yj-yi)+xi&&(inside=!inside)}return inside}function isInsideRect$1(point2,rect){return point2.x>=rect.left&&point2.x<=rect.right&&point2.y>=rect.top&&point2.y<=rect.bottom}function isInsideInsetRect(point2,rect,inset){return point2.x>=rect.left+inset&&point2.x<=rect.
+right-inset&&point2.y>=rect.top+inset&&point2.y<=rect.bottom-inset}function getSide$2(triggerRect,contentRect){const triggerCenterX=triggerRect.left+triggerRect.width/2,triggerCenterY=triggerRect.top+triggerRect.height/2,contentCenterX=contentRect.left+contentRect.width/2,contentCenterY=contentRect.top+contentRect.height/2,deltaX=contentCenterX-triggerCenterX,deltaY=contentCenterY-triggerCenterY;return Math.abs(deltaX)>Math.abs(deltaY)?deltaX>0?"right":"left":deltaY>0?"bottom":"top"}function getCorridorPolygon(triggerRect,contentRect,side){
+switch(side){case"top":return[{x:Math.min(triggerRect.left,contentRect.left)-2,y:triggerRect.top},{x:Math.min(triggerRect.left,contentRect.left)-2,y:contentRect.bottom},{x:Math.max(triggerRect.right,contentRect.right)+2,y:contentRect.bottom},{x:Math.max(triggerRect.right,contentRect.right)+2,y:triggerRect.top}];case"bottom":return[{x:Math.min(triggerRect.left,contentRect.left)-2,y:triggerRect.bottom},{x:Math.min(triggerRect.left,contentRect.left)-2,y:contentRect.top},{x:Math.max(triggerRect.right,
+contentRect.right)+2,y:contentRect.top},{x:Math.max(triggerRect.right,contentRect.right)+2,y:triggerRect.bottom}];case"left":return[{x:triggerRect.left,y:Math.min(triggerRect.top,contentRect.top)-2},{x:contentRect.right,y:Math.min(triggerRect.top,contentRect.top)-2},{x:contentRect.right,y:Math.max(triggerRect.bottom,contentRect.bottom)+2},{x:triggerRect.left,y:Math.max(triggerRect.bottom,contentRect.bottom)+2}];case"right":return[{x:triggerRect.right,y:Math.min(triggerRect.top,contentRect.top)-2},
+{x:contentRect.left,y:Math.min(triggerRect.top,contentRect.top)-2},{x:contentRect.left,y:Math.max(triggerRect.bottom,contentRect.bottom)+2},{x:triggerRect.right,y:Math.max(triggerRect.bottom,contentRect.bottom)+2}]}}function getIntentPolygon(exitPoint,targetRect,side,target2,sourceRect){const effectiveSide=target2==="trigger"?flipSide(side):side,top=sourceRect?Math.min(targetRect.top,sourceRect.top)-8:targetRect.top-8,bottom=sourceRect?Math.max(targetRect.bottom,sourceRect.bottom)+8:targetRect.bottom+
+8,left=sourceRect?Math.min(targetRect.left,sourceRect.left)-8:targetRect.left-8,right=sourceRect?Math.max(targetRect.right,sourceRect.right)+8:targetRect.right+8;switch(effectiveSide){case"right":return[exitPoint,{x:targetRect.left,y:top},{x:targetRect.left,y:bottom}];case"left":return[exitPoint,{x:targetRect.right,y:top},{x:targetRect.right,y:bottom}];case"bottom":return[exitPoint,{x:left,y:targetRect.top},{x:right,y:targetRect.top}];case"top":return[exitPoint,{x:left,y:targetRect.bottom},{x:right,
+y:targetRect.bottom}]}}function flipSide(side){switch(side){case"top":return"bottom";case"bottom":return"top";case"left":return"right";case"right":return"left"}}class MenuRootState{static create(opts){const root2=new MenuRootState(opts);return MenuRootContext.set(root2)}opts;isUsingKeyboard=new IsUsingKeyboard;#ignoreCloseAutoFocus=state$1(!1);get ignoreCloseAutoFocus(){return get$3(this.#ignoreCloseAutoFocus)}set ignoreCloseAutoFocus(value){set$1(this.#ignoreCloseAutoFocus,value,!0)}#isPointerInTransit=state$1(
+!1);get isPointerInTransit(){return get$3(this.#isPointerInTransit)}set isPointerInTransit(value){set$1(this.#isPointerInTransit,value,!0)}constructor(opts){this.opts=opts}getBitsAttr=part=>menuAttrs.getAttr(part,this.opts.variant.current)}class MenuMenuState{static create(opts,root2){return MenuMenuContext.set(new MenuMenuState(opts,root2,null))}opts;root;parentMenu;contentId=boxWith$1(()=>"");#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(
+this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}constructor(opts,root2,parentMenu){this.opts=opts,this.root=root2,this.parentMenu=parentMenu,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)},shouldSkipExitAnimation:()=>this.root.opts.variant.
+current!=="menubar"||this.parentMenu!==null?!1:this.root.opts.shouldSkipExitAnimation?.()??!1}),parentMenu&&watch$1(()=>parentMenu.opts.open.current,()=>{parentMenu.opts.open.current||(this.opts.open.current=!1)})}toggleOpen(){this.opts.open.current=!this.opts.open.current}onOpen(){this.opts.open.current=!0}onClose(){this.opts.open.current=!1}}class MenuContentState{static create(opts){return MenuContentContext.set(new MenuContentState(opts,MenuMenuContext.get()))}opts;parentMenu;rovingFocusGroup;domContext;attachment;#search=state$1(
+"");get search(){return get$3(this.#search)}set search(value){set$1(this.#search,value,!0)}#timer=0;#handleTypeaheadSearch;#mounted=state$1(!1);get mounted(){return get$3(this.#mounted)}set mounted(value){set$1(this.#mounted,value,!0)}#isSub;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.domContext=new DOMContext(opts.ref),this.attachment=attachRef(this.opts.ref,v=>{this.parentMenu.contentNode!==v&&(this.parentMenu.contentNode=v)}),parentMenu.contentId=opts.id,this.#isSub=
+opts.isSub??!1,this.onkeydown=this.onkeydown.bind(this),this.onblur=this.onblur.bind(this),this.onfocus=this.onfocus.bind(this),this.handleInteractOutside=this.handleInteractOutside.bind(this),new MenuSubmenuIntent({contentNode:()=>this.parentMenu.contentNode,triggerNode:()=>this.parentMenu.triggerNode,parentContentNode:()=>this.parentMenu.parentMenu?.contentNode??null,subContentSelector:()=>`[${this.parentMenu.root.getBitsAttr("sub-content")}]`,enabled:()=>this.parentMenu.opts.open.current&&!!this.
+parentMenu.triggerNode?.hasAttribute(this.parentMenu.root.getBitsAttr("sub-trigger")),onIntentExit:pointerPoint=>{this.parentMenu.opts.open.current=!1,this.#dispatchPointerMoveToHoveredSubTrigger(pointerPoint)},setIsPointerInTransit:value=>{this.parentMenu.root.isPointerInTransit=value}}),this.#handleTypeaheadSearch=new DOMTypeahead({getActiveElement:()=>this.domContext.getActiveElement(),getWindow:()=>this.domContext.getWindow()}).handleTypeaheadSearch,this.rovingFocusGroup=new RovingFocusGroup(
+{rootNode:boxWith$1(()=>this.parentMenu.contentNode),candidateAttr:this.parentMenu.root.getBitsAttr("item"),loop:this.opts.loop,orientation:boxWith$1(()=>"vertical")}),watch$1(()=>this.parentMenu.contentNode,contentNode=>{if(!contentNode)return;const handler=()=>{afterTick(()=>{this.parentMenu.root.isUsingKeyboard.current&&this.rovingFocusGroup.focusFirstCandidate()})};return MenuOpenEvent.listen(contentNode,handler)}),user_effect(()=>{this.parentMenu.opts.open.current||this.domContext.getWindow().
+clearTimeout(this.#timer)})}#getCandidateNodes(){const node2=this.parentMenu.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.parentMenu.root.getBitsAttr("item")}]:not([data-disabled])`)):[]}#isPointerMovingToSubmenu(){return this.parentMenu.root.isPointerInTransit}#dispatchPointerMoveToHoveredSubTrigger(pointerPoint){if(!pointerPoint)return;const parentContentNode=this.parentMenu.parentMenu?.contentNode;if(!parentContentNode)return;const hoveredNode=this.domContext.getDocument().
+elementFromPoint(pointerPoint.x,pointerPoint.y);if(!isElement$1(hoveredNode))return;const hoveredSubTrigger=hoveredNode.closest(`[${this.parentMenu.root.getBitsAttr("sub-trigger")}]`);!hoveredSubTrigger||!parentContentNode.contains(hoveredSubTrigger)||hoveredSubTrigger!==this.parentMenu.triggerNode&&hoveredSubTrigger.dispatchEvent(new PointerEvent("pointermove",{bubbles:!0,cancelable:!0,pointerType:"mouse",clientX:pointerPoint.x,clientY:pointerPoint.y}))}onCloseAutoFocus=e=>{if(this.opts.onCloseAutoFocus.
+current?.(e),!(e.defaultPrevented||this.#isSub)){if(this.parentMenu.root.ignoreCloseAutoFocus){e.preventDefault();return}this.parentMenu.triggerNode&&isTabbable(this.parentMenu.triggerNode)&&(e.preventDefault(),this.parentMenu.triggerNode.focus())}};handleTabKeyDown(e){let rootMenu=this.parentMenu;for(;rootMenu.parentMenu!==null;)rootMenu=rootMenu.parentMenu;if(!rootMenu.triggerNode)return;e.preventDefault();const nodeToFocus=getTabbableFrom(rootMenu.triggerNode,e.shiftKey?"prev":"next");nodeToFocus?
+(this.parentMenu.root.ignoreCloseAutoFocus=!0,rootMenu.onClose(),afterTick(()=>{nodeToFocus.focus(),afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})})):this.domContext.getDocument().body.focus()}onkeydown(e){if(e.defaultPrevented)return;if(e.key===TAB){this.handleTabKeyDown(e);return}const target2=e.target,currentTarget=e.currentTarget;if(!isHTMLElement$1(target2)||!isHTMLElement$1(currentTarget))return;const isKeydownInside=target2.closest(`[${this.parentMenu.root.getBitsAttr("cont\
+ent")}]`)?.id===this.parentMenu.contentId.current,isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1;if(this.rovingFocusGroup.handleKeydown(target2,e)||e.code==="Space")return;const candidateNodes=this.#getCandidateNodes();isKeydownInside&&!isModifierKey&&isCharacterKey&&this.#handleTypeaheadSearch(e.key,candidateNodes),e.target?.id===this.parentMenu.contentId.current&&FIRST_LAST_KEYS$1.includes(e.key)&&(e.preventDefault(),LAST_KEYS$1.includes(e.key)&&candidateNodes.reverse(),
+focusFirst(candidateNodes,{select:!1},()=>this.domContext.getActiveElement()))}onblur(e){isElement$1(e.currentTarget)&&isElement$1(e.target)&&(e.currentTarget.contains?.(e.target)||(this.domContext.getWindow().clearTimeout(this.#timer),this.search=""))}onfocus(_){this.parentMenu.root.isUsingKeyboard.current&&afterTick(()=>this.rovingFocusGroup.focusFirstCandidate())}onItemEnter(){return this.#isPointerMovingToSubmenu()}onItemLeave(e){if(e.currentTarget.hasAttribute(this.parentMenu.root.getBitsAttr(
+"sub-trigger"))||this.#isPointerMovingToSubmenu()||this.parentMenu.root.isUsingKeyboard.current)return;this.parentMenu.contentNode?.focus(),this.rovingFocusGroup.setCurrentTabStopId("")}onTriggerLeave(){return!!this.#isPointerMovingToSubmenu()}handleInteractOutside(e){if(!isElementOrSVGElement(e.target))return;const triggerId=this.parentMenu.triggerNode?.id;if(e.target.id===triggerId){e.preventDefault();return}if(e.target.closest(`#${triggerId}`)){e.preventDefault();return}this.parentMenu.root.ignoreCloseAutoFocus=
+!0,afterTick(()=>{this.parentMenu.root.ignoreCloseAutoFocus=!1})}get shouldRender(){return this.parentMenu.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.parentMenu.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"menu","aria-orientation":"vertical",[this.parentMenu.root.getBitsAttr("content")]:"","data-state":getDataOpenClosed(this.parentMenu.
+opts.open.current),...getDataTransitionAttrs(this.parentMenu.contentPresence.transitionStatus),onkeydown:this.onkeydown,onblur:this.onblur,onfocus:this.onfocus,dir:this.parentMenu.root.opts.dir.current,style:{pointerEvents:"auto",contain:"layout style"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onCloseAutoFocus:e=>this.onCloseAutoFocus(e)}}class MenuItemSharedState{opts;content;attachment;#isFocused=state$1(!1);constructor(opts,content2){
+this.opts=opts,this.content=content2,this.attachment=attachRef(this.opts.ref),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this),this.onfocus=this.onfocus.bind(this),this.onblur=this.onblur.bind(this)}onpointermove(e){if(!e.defaultPrevented&&isMouseEvent(e))if(this.opts.disabled.current)this.content.onItemLeave(e);else{if(this.content.onItemEnter())return;const item=e.currentTarget;if(!isHTMLElement$1(item))return;item.focus()}}onpointerleave(e){e.
+defaultPrevented||isMouseEvent(e)&&this.content.onItemLeave(e)}onfocus(e){afterTick(()=>{e.defaultPrevented||this.opts.disabled.current||set$1(this.#isFocused,!0)})}onblur(e){afterTick(()=>{e.defaultPrevented||set$1(this.#isFocused,!1)})}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,role:"menuitem","aria-disabled":boolToStr(this.opts.disabled.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":get$3(this.#isFocused)?"":void 0,[this.content.
+parentMenu.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,onfocus:this.onfocus,onblur:this.onblur,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuItemState{static create(opts){const item=new MenuItemSharedState(opts,MenuContentContext.get());return new MenuItemState(opts,item)}opts;item;root;#isPointerDown=!1;constructor(opts,item){this.opts=opts,this.item=item,this.root=item.content.
+parentMenu.root,this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this)}#handleSelect(){if(this.item.opts.disabled.current)return;const selectEvent=new CustomEvent("menuitemselect",{bubbles:!0,cancelable:!0});if(this.opts.onSelect.current(selectEvent),selectEvent.defaultPrevented){this.item.content.parentMenu.root.isUsingKeyboard.current=!1;return}this.opts.closeOnSelect.current&&this.
+item.content.parentMenu.root.opts.onClose()}onkeydown(e){const isTypingAhead=this.item.content.search!=="";if(!(this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE)&&SELECTION_KEYS.includes(e.key)){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget.click(),e.preventDefault()}}onclick(_){this.item.opts.disabled.current||this.#handleSelect()}onpointerup(e){if(!e.defaultPrevented&&!this.#isPointerDown){if(!isHTMLElement$1(e.currentTarget))return;e.currentTarget?.click()}}onpointerdown(_){
+this.#isPointerDown=!0}#props=user_derived(()=>mergeProps(this.item.props,{onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubTriggerState{static create(opts){const content2=MenuContentContext.get(),item=new MenuItemSharedState(opts,content2),submenu=MenuMenuContext.get();return new MenuSubTriggerState(opts,item,content2,submenu)}opts;item;content;submenu;attachment;#openTimer=null;constructor(opts,item,content2,submenu){
+this.opts=opts,this.item=item,this.content=content2,this.submenu=submenu,this.attachment=attachRef(this.opts.ref,v=>this.submenu.triggerNode=v),this.onpointerleave=this.onpointerleave.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),onDestroyEffect(()=>{this.#clearOpenTimer()})}#clearOpenTimer(){this.#openTimer!==null&&(this.content.domContext.getWindow().clearTimeout(this.#openTimer),this.#openTimer=null)}onpointermove(e){
+if(isMouseEvent(e)){if(this.submenu.root.isPointerInTransit){this.#openTimer!==null&&this.#clearOpenTimer();return}if(!this.item.opts.disabled.current&&!this.submenu.opts.open.current&&!this.#openTimer){const openDelay=this.opts.openDelay.current;if(openDelay<=0){this.submenu.onOpen();return}this.#openTimer=this.content.domContext.setTimeout(()=>{if(this.submenu.root.isPointerInTransit){this.#clearOpenTimer();return}this.submenu.onOpen(),this.#clearOpenTimer()},openDelay)}}}onpointerleave(e){isMouseEvent(
+e)&&this.#clearOpenTimer()}onkeydown(e){const isTypingAhead=this.content.search!=="";this.item.opts.disabled.current||isTypingAhead&&e.key===SPACE||SUB_OPEN_KEYS[this.submenu.root.opts.dir.current].includes(e.key)&&(e.currentTarget.click(),e.preventDefault())}onclick(e){if(this.item.opts.disabled.current||!isHTMLElement$1(e.currentTarget))return;e.currentTarget.focus();const selectEvent=new CustomEvent("menusubtriggerselect",{bubbles:!0,cancelable:!0});this.opts.onSelect.current(selectEvent),this.
+submenu.opts.open.current||(this.submenu.onOpen(),afterTick(()=>{const contentNode=this.submenu.contentNode;contentNode&&MenuOpenEvent.dispatch(contentNode)}))}#props=user_derived(()=>mergeProps({"aria-haspopup":"menu","aria-expanded":boolToStr(this.submenu.opts.open.current),"data-state":getDataOpenClosed(this.submenu.opts.open.current),"aria-controls":this.submenu.opts.open.current?this.submenu.contentId.current:void 0,[this.submenu.root.getBitsAttr("sub-trigger")]:"",onclick:this.onclick,onpointermove:this.
+onpointermove,onpointerleave:this.onpointerleave,onkeydown:this.onkeydown,...this.attachment},this.item.props));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSeparatorState{static create(opts){return new MenuSeparatorState(opts,MenuRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,role:"group",[this.root.getBitsAttr("\
+separator")]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class DropdownMenuTriggerState{static create(opts){return new DropdownMenuTriggerState(opts,MenuMenuContext.get())}opts;parentMenu;attachment;constructor(opts,parentMenu){this.opts=opts,this.parentMenu=parentMenu,this.attachment=attachRef(this.opts.ref,v=>this.parentMenu.triggerNode=v)}onclick=e=>{this.opts.disabled.current||e.detail!==0||(this.parentMenu.toggleOpen(),e.preventDefault())};onpointerdown=e=>{
+if(!this.opts.disabled.current){if(e.pointerType==="touch")return e.preventDefault();e.button===0&&e.ctrlKey===!1&&(this.parentMenu.toggleOpen(),this.parentMenu.opts.open.current||e.preventDefault())}};onpointerup=e=>{this.opts.disabled.current||e.pointerType==="touch"&&(e.preventDefault(),this.parentMenu.toggleOpen())};onkeydown=e=>{if(!this.opts.disabled.current){if(e.key===SPACE||e.key===ENTER){this.parentMenu.toggleOpen(),e.preventDefault();return}e.key===ARROW_DOWN&&(this.parentMenu.onOpen(),
+e.preventDefault())}};#ariaControls=user_derived(()=>{if(this.parentMenu.opts.open.current&&this.parentMenu.contentId.current)return this.parentMenu.contentId.current});#props=user_derived(()=>({id:this.opts.id.current,disabled:this.opts.disabled.current,"aria-haspopup":"menu","aria-expanded":boolToStr(this.parentMenu.opts.open.current),"aria-controls":get$3(this.#ariaControls),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-state":getDataOpenClosed(this.parentMenu.opts.open.
+current),[this.parentMenu.root.getBitsAttr("trigger")]:"",onclick:this.onclick,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class MenuSubmenuState{static create(opts){const menu=MenuMenuContext.get();return MenuMenuContext.set(new MenuMenuState(opts,menu.root,menu))}}globalThis.bitsDismissableLayers??=new Map;class DismissibleLayerState{static create(opts){
+return new DismissibleLayerState(opts)}opts;#interactOutsideProp;#behaviorType;#interceptedEvents={pointerdown:!1};#isResponsibleLayer=!1;#isFocusInsideDOMTree=!1;#documentObj=void 0;#onFocusOutside;#unsubClickListener=noop$1;constructor(opts){this.opts=opts,this.#behaviorType=opts.interactOutsideBehavior,this.#interactOutsideProp=opts.onInteractOutside,this.#onFocusOutside=opts.onFocusOutside,user_effect(()=>{this.#documentObj=getOwnerDocument(this.opts.ref.current)});let unsubEvents=noop$1;const cleanup=()=>{
+this.#resetState(),globalThis.bitsDismissableLayers.delete(this),this.#handleInteractOutside.destroy(),unsubEvents()};watch$1([()=>this.opts.enabled.current,()=>this.opts.ref.current],()=>{if(!(!this.opts.enabled.current||!this.opts.ref.current))return afterSleep(1,()=>{this.opts.ref.current&&(globalThis.bitsDismissableLayers.set(this,this.#behaviorType),unsubEvents(),unsubEvents=this.#addEventListeners())}),cleanup}),onDestroyEffect(()=>{this.#resetState.destroy(),globalThis.bitsDismissableLayers.
+delete(this),this.#handleInteractOutside.destroy(),this.#unsubClickListener(),unsubEvents()})}#handleFocus=event2=>{event2.defaultPrevented||this.opts.ref.current&&afterTick(()=>{!this.opts.ref.current||this.#isTargetWithinLayer(event2.target)||event2.target&&!this.#isFocusInsideDOMTree&&this.#onFocusOutside.current?.(event2)})};#addEventListeners(){return executeCallbacks(on(this.#documentObj,"pointerdown",executeCallbacks(this.#markInterceptedEvent,this.#markResponsibleLayer),{capture:!0}),on(
+this.#documentObj,"pointerdown",executeCallbacks(this.#markNonInterceptedEvent,this.#handleInteractOutside)),on(this.#documentObj,"focusin",this.#handleFocus))}#handleDismiss=e=>{let event2=e;event2.defaultPrevented&&(event2=createWrappedEvent(e)),this.#interactOutsideProp.current(e)};#handleInteractOutside=debounce$1(e=>{if(!this.opts.ref.current){this.#unsubClickListener();return}const isEventValid=this.opts.isValidEvent.current(e,this.opts.ref.current)||isValidEvent(e,this.opts.ref.current);if(!this.#isResponsibleLayer||
+this.#isAnyEventIntercepted()||!isEventValid){this.#unsubClickListener();return}let event2=e;if(event2.defaultPrevented&&(event2=createWrappedEvent(event2)),this.#behaviorType.current!=="close"&&this.#behaviorType.current!=="defer-otherwise-close"){this.#unsubClickListener();return}e.pointerType==="touch"?(this.#unsubClickListener(),this.#unsubClickListener=on(this.#documentObj,"click",this.#handleDismiss,{once:!0})):this.#interactOutsideProp.current(event2)},10);#markInterceptedEvent=e=>{this.#interceptedEvents[e.
+type]=!0};#markNonInterceptedEvent=e=>{this.#interceptedEvents[e.type]=!1};#markResponsibleLayer=()=>{this.opts.ref.current&&(this.#isResponsibleLayer=isResponsibleLayer(this.opts.ref.current))};#isTargetWithinLayer=target2=>this.opts.ref.current?isOrContainsTarget(this.opts.ref.current,target2):!1;#resetState=debounce$1(()=>{for(const eventType in this.#interceptedEvents)this.#interceptedEvents[eventType]=!1;this.#isResponsibleLayer=!1},20);#isAnyEventIntercepted(){return Object.values(this.#interceptedEvents).
+some(Boolean)}#onfocuscapture=()=>{this.#isFocusInsideDOMTree=!0};#onblurcapture=()=>{this.#isFocusInsideDOMTree=!1};props={onfocuscapture:this.#onfocuscapture,onblurcapture:this.#onblurcapture}}function getTopMostDismissableLayer(layersArr=[...globalThis.bitsDismissableLayers]){return layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore")}function isResponsibleLayer(node2){const layersArr=[...globalThis.bitsDismissableLayers],topMostLayer=getTopMostDismissableLayer(
+layersArr);if(topMostLayer)return topMostLayer[0].opts.ref.current===node2;const[firstLayerNode]=layersArr[0];return firstLayerNode.opts.ref.current===node2}function isValidEvent(e,node2){const target2=e.target;if(!isElementOrSVGElement(target2))return!1;const targetIsContextMenuTrigger=!!target2.closest(`[${CONTEXT_MENU_TRIGGER_ATTR}]`),nodeIsContextMenu=!!node2.closest(`[${CONTEXT_MENU_CONTENT_ATTR}]`);return"button"in e&&e.button>0&&!targetIsContextMenuTrigger?!1:"button"in e&&e.button===0&&targetIsContextMenuTrigger&&
+nodeIsContextMenu?!0:targetIsContextMenuTrigger&&nodeIsContextMenu?!1:getOwnerDocument(target2).documentElement.contains(target2)&&!isOrContainsTarget(node2,target2)&&isClickTrulyOutside(e,node2)}function createWrappedEvent(e){const capturedCurrentTarget=e.currentTarget,capturedTarget=e.target;let newEvent;e instanceof PointerEvent?newEvent=new PointerEvent(e.type,e):newEvent=new PointerEvent("pointerdown",e);let isPrevented=!1;return new Proxy(newEvent,{get:(target2,prop2)=>prop2==="currentTarg\
+et"?capturedCurrentTarget:prop2==="target"?capturedTarget:prop2==="preventDefault"?()=>{isPrevented=!0,typeof target2.preventDefault=="function"&&target2.preventDefault()}:prop2==="defaultPrevented"?isPrevented:prop2 in target2?target2[prop2]:e[prop2]})}function Dismissible_layer($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",
+3,noop$1),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1);const dismissibleLayerState=DismissibleLayerState.create({id:boxWith$1(()=>$$props.id),interactOutsideBehavior:boxWith$1(()=>interactOutsideBehavior()),onInteractOutside:boxWith$1(()=>onInteractOutside()),enabled:boxWith$1(()=>$$props.enabled),onFocusOutside:boxWith$1(()=>onFocusOutside()),isValidEvent:boxWith$1(()=>isValidEvent2()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??
+noop$3,()=>({props:dismissibleLayerState.props})),append($$anchor,fragment),pop()}globalThis.bitsEscapeLayers??=new Map;class EscapeLayerState{static create(opts){return new EscapeLayerState(opts)}opts;domContext;constructor(opts){this.opts=opts,this.domContext=new DOMContext(this.opts.ref);let unsubEvents=noop$1;watch$1(()=>opts.enabled.current,enabled=>(enabled&&(globalThis.bitsEscapeLayers.set(this,opts.escapeKeydownBehavior),unsubEvents=this.#addEventListener()),()=>{unsubEvents(),globalThis.
+bitsEscapeLayers.delete(this)}))}#addEventListener=()=>on(this.domContext.getDocument(),"keydown",this.#onkeydown,{passive:!1});#onkeydown=e=>{if(e.key!==ESCAPE||!isResponsibleEscapeLayer(this))return;const clonedEvent=new KeyboardEvent(e.type,e);e.preventDefault();const behaviorType=this.opts.escapeKeydownBehavior.current;behaviorType!=="close"&&behaviorType!=="defer-otherwise-close"||this.opts.onEscapeKeydown.current(clonedEvent)}}function isResponsibleEscapeLayer(instance){const layersArr=[...globalThis.
+bitsEscapeLayers],topMostLayer=layersArr.findLast(([_,{current:behaviorType}])=>behaviorType==="close"||behaviorType==="ignore");if(topMostLayer)return topMostLayer[0]===instance;const[firstLayerNode]=layersArr[0];return firstLayerNode===instance}function Escape_layer($$anchor,$$props){push$1($$props,!0);let escapeKeydownBehavior=prop($$props,"escapeKeydownBehavior",3,"close"),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1);EscapeLayerState.create({escapeKeydownBehavior:boxWith$1(()=>escapeKeydownBehavior()),
+onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),enabled:boxWith$1(()=>$$props.enabled),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class FocusScopeManager{static instance;#scopeStack=simpleBox([]);#focusHistory=new WeakMap;#preFocusHistory=new WeakMap;static getInstance(){return this.instance||(this.instance=new FocusScopeManager),this.instance}register(scope2){const current2=this.getActive();
+current2&&current2!==scope2&&current2.pause();const activeElement=document.activeElement;activeElement&&activeElement!==document.body&&this.#preFocusHistory.set(scope2,activeElement),this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2),this.#scopeStack.current.unshift(scope2)}unregister(scope2){this.#scopeStack.current=this.#scopeStack.current.filter(s2=>s2!==scope2);const next2=this.getActive();next2&&next2.resume()}getActive(){return this.#scopeStack.current[0]}setFocusMemory(scope2,element2){
+this.#focusHistory.set(scope2,element2)}getFocusMemory(scope2){return this.#focusHistory.get(scope2)}isActiveScope(scope2){return this.getActive()===scope2}setPreFocusMemory(scope2,element2){this.#preFocusHistory.set(scope2,element2)}getPreFocusMemory(scope2){return this.#preFocusHistory.get(scope2)}clearPreFocusMemory(scope2){this.#preFocusHistory.delete(scope2)}}class FocusScope{#paused=!1;#container=null;#manager=FocusScopeManager.getInstance();#cleanupFns=[];#opts;constructor(opts){this.#opts=
+opts}get paused(){return this.#paused}pause(){this.#paused=!0}resume(){this.#paused=!1}#cleanup(){for(const fn of this.#cleanupFns)fn();this.#cleanupFns=[]}mount(container2){this.#container&&this.unmount(),this.#container=container2,this.#manager.register(this),this.#setupEventListeners(),this.#handleOpenAutoFocus()}unmount(){this.#container&&(this.#cleanup(),this.#handleCloseAutoFocus(),this.#manager.unregister(this),this.#manager.clearPreFocusMemory(this),this.#container=null)}#handleOpenAutoFocus(){
+if(!this.#container)return;const event2=new CustomEvent("focusScope.onOpenAutoFocus",{bubbles:!1,cancelable:!0});this.#opts.onOpenAutoFocus.current(event2),event2.defaultPrevented||requestAnimationFrame(()=>{if(!this.#container)return;const firstTabbable=this.#getFirstTabbable();firstTabbable?(firstTabbable.focus(),this.#manager.setFocusMemory(this,firstTabbable)):this.#container.focus()})}#handleCloseAutoFocus(){const event2=new CustomEvent("focusScope.onCloseAutoFocus",{bubbles:!1,cancelable:!0});
+if(this.#opts.onCloseAutoFocus.current?.(event2),!event2.defaultPrevented){const preFocusedElement=this.#manager.getPreFocusMemory(this);if(preFocusedElement&&document.contains(preFocusedElement))try{preFocusedElement.focus()}catch{document.body.focus()}}}#setupEventListeners(){if(!this.#container||!this.#opts.trap.current)return;const container2=this.#container,doc=container2.ownerDocument,handleFocus=e=>{if(this.#paused||!this.#manager.isActiveScope(this))return;const target2=e.target;if(!target2)
+return;if(container2.contains(target2))this.#manager.setFocusMemory(this,target2);else{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&container2.contains(lastFocused)&&isFocusable(lastFocused))e.preventDefault(),lastFocused.focus();else{const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0];(firstTabbable||firstFocusable||container2).focus()}}},handleKeydown=e=>{if(!this.#opts.loop||this.#paused||e.key!=="Tab"||!this.#manager.isActiveScope(this))
+return;const tabbables=this.#getTabbables();if(tabbables.length===0)return;const first=tabbables[0],last=tabbables[tabbables.length-1];!e.shiftKey&&doc.activeElement===last?(e.preventDefault(),first.focus()):e.shiftKey&&doc.activeElement===first&&(e.preventDefault(),last.focus())};this.#cleanupFns.push(on(doc,"focusin",handleFocus,{capture:!0}),on(container2,"keydown",handleKeydown));const observer=new MutationObserver(()=>{const lastFocused=this.#manager.getFocusMemory(this);if(lastFocused&&!container2.
+contains(lastFocused)){const firstTabbable=this.#getFirstTabbable(),firstFocusable=this.#getAllFocusables()[0],elementToFocus=firstTabbable||firstFocusable;elementToFocus?(elementToFocus.focus(),this.#manager.setFocusMemory(this,elementToFocus)):container2.focus()}});observer.observe(container2,{childList:!0,subtree:!0}),this.#cleanupFns.push(()=>observer.disconnect())}#getTabbables(){return this.#container?tabbable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}#getFirstTabbable(){return this.#getTabbables()[0]||
+null}#getAllFocusables(){return this.#container?focusable(this.#container,{includeContainer:!1,getShadowRoot:!0}):[]}static use(opts){let scope2=null;return watch$1([()=>opts.ref.current,()=>opts.enabled.current],([ref2,enabled])=>{ref2&&enabled?(scope2||(scope2=new FocusScope(opts)),scope2.mount(ref2)):scope2&&(scope2.unmount(),scope2=null)}),onDestroyEffect(()=>{scope2?.unmount()}),{get props(){return{tabindex:-1}}}}}function Focus_scope($$anchor,$$props){push$1($$props,!0);let enabled=prop($$props,
+"enabled",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),loop2=prop($$props,"loop",3,!1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1);const focusScopeState=FocusScope.use({enabled:boxWith$1(()=>enabled()),trap:boxWith$1(()=>trapFocus()),loop:loop2(),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus()),onOpenAutoFocus:boxWith$1(()=>onOpenAutoFocus()),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);snippet(
+node2,()=>$$props.focusScope??noop$3,()=>({props:focusScopeState.props})),append($$anchor,fragment),pop()}globalThis.bitsTextSelectionLayers??=new Map;class TextSelectionLayerState{static create(opts){return new TextSelectionLayerState(opts)}opts;domContext;#unsubSelectionLock=noop$1;constructor(opts){this.opts=opts,this.domContext=new DOMContext(opts.ref);let unsubEvents=noop$1;watch$1(()=>this.opts.enabled.current,isEnabled=>(isEnabled&&(globalThis.bitsTextSelectionLayers.set(this,this.opts.enabled),
+unsubEvents(),unsubEvents=this.#addEventListeners()),()=>{unsubEvents(),this.#resetSelectionLock(),globalThis.bitsTextSelectionLayers.delete(this)}))}#addEventListeners(){return executeCallbacks(on(this.domContext.getDocument(),"pointerdown",this.#pointerdown),on(this.domContext.getDocument(),"pointerup",composeHandlers(this.#resetSelectionLock,this.opts.onPointerUp.current)))}#pointerdown=e=>{const node2=this.opts.ref.current,target2=e.target;!isHTMLElement$1(node2)||!isHTMLElement$1(target2)||
+!this.opts.enabled.current||!isHighestLayer(this)||!contains$3(node2,target2)||(this.opts.onPointerDown.current(e),!e.defaultPrevented&&(this.#unsubSelectionLock=preventTextSelectionOverflow(node2,this.domContext.getDocument().body)))};#resetSelectionLock=()=>{this.#unsubSelectionLock(),this.#unsubSelectionLock=noop$1}}const getUserSelect=node2=>node2.style.userSelect||node2.style.webkitUserSelect;function preventTextSelectionOverflow(node2,body2){const originalBodyUserSelect=getUserSelect(body2),
+originalNodeUserSelect=getUserSelect(node2);return setUserSelect(body2,"none"),setUserSelect(node2,"text"),()=>{setUserSelect(body2,originalBodyUserSelect),setUserSelect(node2,originalNodeUserSelect)}}function setUserSelect(node2,value){node2.style.userSelect=value,node2.style.webkitUserSelect=value}function isHighestLayer(instance){const layersArr=[...globalThis.bitsTextSelectionLayers];if(!layersArr.length)return!1;const highestLayer=layersArr.at(-1);return highestLayer?highestLayer[0]===instance:
+!1}function Text_selection_layer($$anchor,$$props){push$1($$props,!0);let preventOverflowTextSelection=prop($$props,"preventOverflowTextSelection",3,!0),onPointerDown=prop($$props,"onPointerDown",3,noop$1),onPointerUp=prop($$props,"onPointerUp",3,noop$1);TextSelectionLayerState.create({id:boxWith$1(()=>$$props.id),onPointerDown:boxWith$1(()=>onPointerDown()),onPointerUp:boxWith$1(()=>onPointerUp()),enabled:boxWith$1(()=>$$props.enabled&&preventOverflowTextSelection()),ref:$$props.ref});var fragment=comment$2(),
+node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}globalThis.bitsIdCounter??={current:0};function useId(prefix="bits"){return globalThis.bitsIdCounter.current++,`${prefix}-${globalThis.bitsIdCounter.current}`}class SharedState{#factory;#subscribers=0;#state=state$1();#scope;constructor(factory){this.#factory=factory}#dispose(){this.#subscribers-=1,this.#scope&&this.#subscribers<=0&&(this.#scope(),set$1(this.#state,void 0),this.#scope=void 0)}get(...args){
+return this.#subscribers+=1,get$3(this.#state)===void 0&&(this.#scope=effect_root(()=>{set$1(this.#state,this.#factory(...args),!0)})),user_effect(()=>()=>{this.#dispose()}),get$3(this.#state)}}const lockMap=new SvelteMap;let initialBodyStyle=state$1(null),stopTouchMoveListener=null,cleanupTimeoutId=null,isInCleanupTransition=!1;const anyLocked=boxWith$1(()=>{for(const value of lockMap.values())if(value)return!0;return!1});let cleanupScheduledAt=null;const bodyLockStackCount=new SharedState(()=>{
+function resetBodyStyle(){document.body.setAttribute("style",get$3(initialBodyStyle)??""),document.body.style.removeProperty("--scrollbar-width"),isIOS&&stopTouchMoveListener?.(),set$1(initialBodyStyle,null)}function cancelPendingCleanup(){cleanupTimeoutId!==null&&(window.clearTimeout(cleanupTimeoutId),cleanupTimeoutId=null)}function scheduleCleanupIfNoNewLocks(delay,callback){cancelPendingCleanup(),isInCleanupTransition=!0,cleanupScheduledAt=Date.now();const currentCleanupId=cleanupScheduledAt,
+cleanupFn=()=>{cleanupTimeoutId=null,cleanupScheduledAt===currentCleanupId&&(isAnyLocked(lockMap)?isInCleanupTransition=!1:(isInCleanupTransition=!1,callback()))},actualDelay=delay===null?24:delay;cleanupTimeoutId=window.setTimeout(cleanupFn,actualDelay)}function ensureInitialStyleCaptured(){get$3(initialBodyStyle)===null&&lockMap.size===0&&!isInCleanupTransition&&set$1(initialBodyStyle,document.body.getAttribute("style"),!0)}return watch$1(()=>anyLocked.current,()=>{if(!anyLocked.current)return;
+ensureInitialStyleCaptured(),isInCleanupTransition=!1;const htmlStyle=getComputedStyle(document.documentElement),bodyStyle=getComputedStyle(document.body),hasStableGutter=htmlStyle.scrollbarGutter?.includes("stable")||bodyStyle.scrollbarGutter?.includes("stable"),verticalScrollbarWidth=window.innerWidth-document.documentElement.clientWidth,config2={padding:Number.parseInt(bodyStyle.paddingRight??"0",10)+verticalScrollbarWidth,margin:Number.parseInt(bodyStyle.marginRight??"0",10)};verticalScrollbarWidth>
+0&&!hasStableGutter&&(document.body.style.paddingRight=`${config2.padding}px`,document.body.style.marginRight=`${config2.margin}px`,document.body.style.setProperty("--scrollbar-width",`${verticalScrollbarWidth}px`)),document.body.style.overflow="hidden",isIOS&&(stopTouchMoveListener=on(document,"touchmove",e=>{e.target===document.documentElement&&(e.touches.length>1||e.preventDefault())},{passive:!1})),afterTick(()=>{document.body.style.pointerEvents="none",document.body.style.overflow="hidden"})}),
+onDestroyEffect(()=>()=>{stopTouchMoveListener?.()}),{get lockMap(){return lockMap},resetBodyStyle,scheduleCleanupIfNoNewLocks,cancelPendingCleanup,ensureInitialStyleCaptured}});class BodyScrollLock{#id=useId();#initialState;#restoreScrollDelay=()=>null;#countState;locked;constructor(initialState,restoreScrollDelay=()=>null){this.#initialState=initialState,this.#restoreScrollDelay=restoreScrollDelay,this.#countState=bodyLockStackCount.get(),this.#countState&&(this.#countState.cancelPendingCleanup(),
+this.#countState.ensureInitialStyleCaptured(),this.#countState.lockMap.set(this.#id,this.#initialState??!1),this.locked=boxWith$1(()=>this.#countState.lockMap.get(this.#id)??!1,v=>this.#countState.lockMap.set(this.#id,v)),onDestroyEffect(()=>{if(this.#countState.lockMap.delete(this.#id),isAnyLocked(this.#countState.lockMap))return;const restoreScrollDelay2=this.#restoreScrollDelay();this.#countState.scheduleCleanupIfNoNewLocks(restoreScrollDelay2,()=>{this.#countState.resetBodyStyle()})}))}}function isAnyLocked(map2){
+for(const[_,value]of map2)if(value)return!0;return!1}function Scroll_lock($$anchor,$$props){push$1($$props,!0);let preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null);preventScroll()&&new BodyScrollLock(preventScroll(),()=>restoreScrollDelay()),pop()}var root_6$z=from_html("<!> <!>",1),root_8$z=from_html("<!> <div><!></div>",1);function Alert_dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,
+"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"ignore"),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),preventScroll=prop($$props,"preventScroll",3,!0),trapFocus=prop($$props,"trapFocus",3,!0),
+restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","interactOutsideBehavior","onCloseAutoFocus","onEscapeKeydown","onOpenAutoFocus","onInteractOutside","preventScroll","trapFocus","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),
+node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.current},get onCloseAutoFocus(){return onCloseAutoFocus()},onOpenAutoFocus:e=>{onOpenAutoFocus()(e),!e.defaultPrevented&&(e.preventDefault(),afterSleep(0,()=>contentState.opts.ref.current?.focus()))},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer(
+$$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},get interactOutsideBehavior(){return interactOutsideBehavior()},
+onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$z(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{
+Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$z(),node_4=first_child(fragment_8);
+Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};
+if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}var root_3$14=from_html("<div><!></div>");function Dialog_overlay$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop($$props,"forceMount",3,!1),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","forceMount","child","children","ref"]);const overlayState=DialogOverlayState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,overlayState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps)),...overlayState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3(
+$0))}append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$14();attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps))]);var node_3=child(div);snippet(node_3,()=>$$props.children??noop$3,()=>overlayState.snippetProps),reset(div),append($$anchor3,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{(overlayState.shouldRender||forceMount())&&$$render(consequent_1)})}append($$anchor,
+fragment),pop()}var root_2$1y=from_html("<div><!></div>");function Dialog_description$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref"]);const descriptionState=DialogDescriptionState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,descriptionState.
+props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1y();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):
+$$render(alternate,-1)})}append($$anchor,fragment),pop()}const checkboxAttrs=createBitsAttrs({component:"checkbox",parts:["root","group","group-label","input"]}),CheckboxGroupContext=new Context$1("Checkbox.Group"),CheckboxRootContext=new Context$1("Checkbox.Root");class CheckboxRootState{static create(opts,group=null){return CheckboxRootContext.set(new CheckboxRootState(opts,group))}opts;group;#trueName=user_derived(()=>this.group&&this.group.opts.name.current?this.group.opts.name.current:this.
+opts.name.current);get trueName(){return get$3(this.#trueName)}set trueName(value){set$1(this.#trueName,value)}#trueRequired=user_derived(()=>this.group&&this.group.opts.required.current?!0:this.opts.required.current);get trueRequired(){return get$3(this.#trueRequired)}set trueRequired(value){set$1(this.#trueRequired,value)}#trueDisabled=user_derived(()=>this.group&&this.group.opts.disabled.current?!0:this.opts.disabled.current);get trueDisabled(){return get$3(this.#trueDisabled)}set trueDisabled(value){
+set$1(this.#trueDisabled,value)}#trueReadonly=user_derived(()=>this.group&&this.group.opts.readonly.current?!0:this.opts.readonly.current);get trueReadonly(){return get$3(this.#trueReadonly)}set trueReadonly(value){set$1(this.#trueReadonly,value)}attachment;constructor(opts,group){this.opts=opts,this.group=group,this.attachment=attachRef(this.opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this),watch$1.pre([()=>snapshot(this.group?.opts.value.current),()=>this.
+opts.value.current],([groupValue,value])=>{!groupValue||!value||(this.opts.checked.current=groupValue.includes(value))}),watch$1.pre(()=>this.opts.checked.current,checked=>{this.group&&(checked?this.group?.addValue(this.opts.value.current):this.group?.removeValue(this.opts.value.current))})}onkeydown(e){if(!(this.trueDisabled||this.trueReadonly)){if(e.key===ENTER){e.preventDefault(),this.opts.type.current==="submit"&&e.currentTarget.closest("form")?.requestSubmit();return}e.key===SPACE&&(e.preventDefault(),
+this.#toggle())}}#toggle(){this.opts.indeterminate.current?(this.opts.indeterminate.current=!1,this.opts.checked.current=!0):this.opts.checked.current=!this.opts.checked.current}onclick(e){if(!(this.trueDisabled||this.trueReadonly)){if(this.opts.type.current==="submit"){this.#toggle();return}e.preventDefault(),this.#toggle()}}#snippetProps=user_derived(()=>({checked:this.opts.checked.current,indeterminate:this.opts.indeterminate.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){
+set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"checkbox",type:this.opts.type.current,disabled:this.trueDisabled,"aria-checked":getAriaChecked(this.opts.checked.current,this.opts.indeterminate.current),"aria-required":boolToStr(this.trueRequired),"aria-readonly":boolToStr(this.trueReadonly),"data-disabled":boolToEmptyStrOrUndef(this.trueDisabled),"data-readonly":boolToEmptyStrOrUndef(this.trueReadonly),"data-state":getCheckboxDataState(this.opts.checked.current,
+this.opts.indeterminate.current),[checkboxAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CheckboxInputState{static create(){return new CheckboxInputState(CheckboxRootContext.get())}root;#trueChecked=user_derived(()=>this.root.group?!!(this.root.opts.value.current!==void 0&&this.root.group.opts.value.current.includes(this.root.opts.value.current)):this.root.opts.checked.current);get trueChecked(){
+return get$3(this.#trueChecked)}set trueChecked(value){set$1(this.#trueChecked,value)}#shouldRender=user_derived(()=>!!this.root.trueName);get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(_){isHTMLElement$1(this.root.opts.ref.current)&&this.root.opts.ref.current.focus()}#props=user_derived(()=>({type:"checkbox",checked:this.root.opts.checked.current===!0,disabled:this.
+root.trueDisabled,required:this.root.trueRequired,name:this.root.trueName,value:this.root.opts.value.current,readonly:this.root.trueReadonly,onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function getCheckboxDataState(checked,indeterminate){return indeterminate?"indeterminate":checked?"checked":"unchecked"}enable_legacy_mode_flag();var root_1$1b=from_html("<input/>"),root_2$1x=from_html("<input/>");function Hidden_input($$anchor,$$props){
+push$1($$props,!0);let value=prop($$props,"value",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","value"]);const mergedProps=user_derived(()=>mergeProps(restProps,{"aria-hidden":"true",tabindex:-1,style:{...srOnlyStyles$1,position:"absolute",top:"0",left:"0"}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$1b();attribute_effect(input,()=>({...get$3(mergedProps),value:value()}),void 0,void 0,void 0,void 0,!0),append($$anchor2,
+input)},alternate=$$anchor2=>{var input_1=root_2$1x();attribute_effect(input_1,()=>({...get$3(mergedProps)}),void 0,void 0,void 0,void 0,!0),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{get$3(mergedProps).type==="checkbox"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Checkbox_input($$anchor,$$props){push$1($$props,!1);const inputState=CheckboxInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);
+{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1w=from_html("<button><!></button>"),root$1Y=from_html("<!> <!>",1);function Checkbox$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let checked=prop($$props,"checked",15,!1),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",
+3,!1),name=prop($$props,"name",3,void 0),value=prop($$props,"value",3,"on"),id2=prop($$props,"id",19,()=>createId(uid2)),indeterminate=prop($$props,"indeterminate",15,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","checked","ref","onCheckedChange","children","disabled","required","name","value","id","indeterminate","onIndeterminateChange","child","type","readonly"]);const group=CheckboxGroupContext.getOr(null);group&&value()&&(group.opts.value.
+current.includes(value())?checked(!0):checked(!1)),watch$1.pre(()=>value(),()=>{group&&value()&&(group.opts.value.current.includes(value())?checked(!0):checked(!1))});const rootState=CheckboxRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),$$props.onCheckedChange?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),name:boxWith$1(()=>name()),value:boxWith$1(()=>value()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),indeterminate:boxWith$1(
+()=>indeterminate(),v=>{indeterminate(v),$$props.onIndeterminateChange?.(v)}),type:boxWith$1(()=>type2()),readonly:boxWith$1(()=>!!$$props.readonly)},group),mergedProps=user_derived(()=>mergeProps({...restProps},rootState.props));var fragment=root$1Y(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append(
+$$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1w();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Checkbox_input(node_3,{}),append($$anchor,fragment),pop()}const collapsibleAttrs=createBitsAttrs({component:"collapsible",parts:[
+"root","content","trigger"]}),CollapsibleRootContext=new Context$1("Collapsible.Root");class CollapsibleRootState{static create(opts){return CollapsibleRootContext.set(new CollapsibleRootState(opts))}opts;attachment;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#contentId=state$1(void 0);get contentId(){return get$3(this.#contentId)}set contentId(value){set$1(this.#contentId,value,!0)}constructor(opts){
+this.opts=opts,this.toggleOpen=this.toggleOpen.bind(this),this.attachment=attachRef(this.opts.ref),this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}})}toggleOpen(){this.opts.open.current=!this.opts.open.current}#props=user_derived(()=>({id:this.opts.id.current,"data-state":getDataOpenClosed(this.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.
+current),[collapsibleAttrs.root]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleContentState{static create(opts){return new CollapsibleContentState(opts,CollapsibleRootContext.get())}opts;root;attachment;#present=user_derived(()=>this.opts.hiddenUntilFound.current?this.root.opts.open.current:this.opts.forceMount.current||this.root.opts.open.current);get present(){return get$3(this.#present)}set present(value){set$1(this.#present,
+value)}#originalStyles;#isMountAnimationPrevented=state$1(!1);#width=state$1(0);#height=state$1(0);constructor(opts,root2){this.opts=opts,this.root=root2,set$1(this.#isMountAnimationPrevented,root2.opts.open.current,!0),this.root.contentId=this.opts.id.current,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),watch$1.pre(()=>this.opts.id.current,id2=>{this.root.contentId=id2}),user_pre_effect(()=>{const rAF=requestAnimationFrame(()=>{set$1(this.#isMountAnimationPrevented,!1)});
+return()=>{cancelAnimationFrame(rAF)}}),watch$1.pre([()=>this.opts.ref.current,()=>this.opts.hiddenUntilFound.current],([node2,hiddenUntilFound])=>!node2||!hiddenUntilFound?void 0:on(node2,"beforematch",()=>{this.root.opts.open.current||requestAnimationFrame(()=>{this.root.opts.open.current=!0})})),watch$1([()=>this.opts.ref.current,()=>this.present],([node2])=>{node2&&afterTick(()=>{if(!this.opts.ref.current)return;this.#originalStyles=this.#originalStyles||{transitionDuration:node2.style.transitionDuration,
+animationName:node2.style.animationName},node2.style.transitionDuration="0s",node2.style.animationName="none";const rect=node2.getBoundingClientRect();if(set$1(this.#height,rect.height,!0),set$1(this.#width,rect.width,!0),!get$3(this.#isMountAnimationPrevented)){const{animationName,transitionDuration}=this.#originalStyles;node2.style.transitionDuration=transitionDuration,node2.style.animationName=animationName}})})}get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(
+()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,style:{"--bits-collapsible-content-height":get$3(this.#height)?`${get$3(this.#height)}px`:void 0,"--bits-collapsible-content-width":get$3(this.#width)?`${get$3(this.#width)}px`:void 0},hidden:this.opts.hiddenUntilFound.current&&!this.root.opts.open.current?"until-found":void 0,"data-state":getDataOpenClosed(
+this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.disabled.current),[collapsibleAttrs.content]:"",...this.opts.hiddenUntilFound.current&&!this.shouldRender?{}:{hidden:this.opts.hiddenUntilFound.current?!this.shouldRender:this.opts.forceMount.current?void 0:!this.shouldRender},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class CollapsibleTriggerState{static create(opts){
+return new CollapsibleTriggerState(opts,CollapsibleRootContext.get())}opts;root;attachment;#isDisabled=user_derived(()=>this.opts.disabled.current||this.root.opts.disabled.current);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),this.onclick=this.onclick.bind(this),this.onkeydown=this.onkeydown.bind(this)}onclick(e){if(!get$3(this.#isDisabled)){if(e.button!==0)return e.preventDefault();this.root.toggleOpen()}}onkeydown(e){get$3(this.#isDisabled)||(e.
+key===SPACE||e.key===ENTER)&&(e.preventDefault(),this.root.toggleOpen())}#props=user_derived(()=>({id:this.opts.id.current,type:"button",disabled:get$3(this.#isDisabled),"aria-controls":this.root.contentId,"aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(get$3(this.#isDisabled)),[collapsibleAttrs.trigger]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(
+this.#props)}set props(value){set$1(this.#props,value)}}var root_2$1v=from_html("<div><!></div>");function Collapsible$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!1),disabled=prop($$props,"disabled",3,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),restProps=rest_props($$props,["$$slots","$$event\
+s","$$legacy","children","child","id","ref","open","disabled","onOpenChange","onOpenChangeComplete"]);const rootState=CollapsibleRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),disabled:boxWith$1(()=>disabled()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1v();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1u=from_html("<div><!\
+></div>");function Collapsible_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),hiddenUntilFound=prop($$props,"hiddenUntilFound",3,!1),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","ref","forceMount","hiddenUntilFound","children","id"]);const contentState=CollapsibleContentState.create({id:boxWith$1(()=>id2()),forceMount:boxWith$1(
+()=>forceMount()),hiddenUntilFound:boxWith$1(()=>hiddenUntilFound()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({...contentState.snippetProps,props:get$3(mergedProps)}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{
+var div=root_2$1u();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1t=from_html("<button><!></button>");function Collapsible_trigger$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(
+uid2)),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","ref","id","disabled"]);const triggerState=CollapsibleTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);
+snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1t();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}const sides=["top","right","bottom","left"],min=Math.min,max=Math.max,round=Math.
+round,floor=Math.floor,createCoords=v=>({x:v,y:v}),oppositeSideMap={left:"right",right:"left",bottom:"top",top:"bottom"},oppositeAlignmentMap={start:"end",end:"start"};function clamp$1(start2,value,end){return max(start2,min(value,end))}function evaluate(value,param){return typeof value=="function"?value(param):value}function getSide$1(placement){return placement.split("-")[0]}function getAlignment(placement){return placement.split("-")[1]}function getOppositeAxis(axis){return axis==="x"?"y":"x"}
+function getAxisLength(axis){return axis==="y"?"height":"width"}const yAxisSides=new Set(["top","bottom"]);function getSideAxis(placement){return yAxisSides.has(getSide$1(placement))?"y":"x"}function getAlignmentAxis(placement){return getOppositeAxis(getSideAxis(placement))}function getAlignmentSides(placement,rects,rtl){rtl===void 0&&(rtl=!1);const alignment=getAlignment(placement),alignmentAxis=getAlignmentAxis(placement),length=getAxisLength(alignmentAxis);let mainAlignmentSide=alignmentAxis===
+"x"?alignment===(rtl?"end":"start")?"right":"left":alignment==="start"?"bottom":"top";return rects.reference[length]>rects.floating[length]&&(mainAlignmentSide=getOppositePlacement(mainAlignmentSide)),[mainAlignmentSide,getOppositePlacement(mainAlignmentSide)]}function getExpandedPlacements(placement){const oppositePlacement=getOppositePlacement(placement);return[getOppositeAlignmentPlacement(placement),oppositePlacement,getOppositeAlignmentPlacement(oppositePlacement)]}function getOppositeAlignmentPlacement(placement){
+return placement.replace(/start|end/g,alignment=>oppositeAlignmentMap[alignment])}const lrPlacement=["left","right"],rlPlacement=["right","left"],tbPlacement=["top","bottom"],btPlacement=["bottom","top"];function getSideList(side,isStart,rtl){switch(side){case"top":case"bottom":return rtl?isStart?rlPlacement:lrPlacement:isStart?lrPlacement:rlPlacement;case"left":case"right":return isStart?tbPlacement:btPlacement;default:return[]}}function getOppositeAxisPlacements(placement,flipAlignment,direction,rtl){
+const alignment=getAlignment(placement);let list2=getSideList(getSide$1(placement),direction==="start",rtl);return alignment&&(list2=list2.map(side=>side+"-"+alignment),flipAlignment&&(list2=list2.concat(list2.map(getOppositeAlignmentPlacement)))),list2}function getOppositePlacement(placement){return placement.replace(/left|right|bottom|top/g,side=>oppositeSideMap[side])}function expandPaddingObject(padding){return{top:0,right:0,bottom:0,left:0,...padding}}function getPaddingObject(padding){return typeof padding!=
+"number"?expandPaddingObject(padding):{top:padding,right:padding,bottom:padding,left:padding}}function rectToClientRect(rect){const{x,y,width,height}=rect;return{width,height,top:y,left:x,right:x+width,bottom:y+height,x,y}}function computeCoordsFromPlacement(_ref,placement,rtl){let{reference,floating}=_ref;const sideAxis=getSideAxis(placement),alignmentAxis=getAlignmentAxis(placement),alignLength=getAxisLength(alignmentAxis),side=getSide$1(placement),isVertical=sideAxis==="y",commonX=reference.x+
+reference.width/2-floating.width/2,commonY=reference.y+reference.height/2-floating.height/2,commonAlign=reference[alignLength]/2-floating[alignLength]/2;let coords;switch(side){case"top":coords={x:commonX,y:reference.y-floating.height};break;case"bottom":coords={x:commonX,y:reference.y+reference.height};break;case"right":coords={x:reference.x+reference.width,y:commonY};break;case"left":coords={x:reference.x-floating.width,y:commonY};break;default:coords={x:reference.x,y:reference.y}}switch(getAlignment(
+placement)){case"start":coords[alignmentAxis]-=commonAlign*(rtl&&isVertical?-1:1);break;case"end":coords[alignmentAxis]+=commonAlign*(rtl&&isVertical?-1:1);break}return coords}const computePosition$1=async(reference,floating,config2)=>{const{placement="bottom",strategy="absolute",middleware=[],platform:platform2}=config2,validMiddleware=middleware.filter(Boolean),rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(floating));let rects=await platform2.getElementRects({reference,floating,strategy}),
+{x,y}=computeCoordsFromPlacement(rects,placement,rtl),statefulPlacement=placement,middlewareData={},resetCount=0;for(let i=0;i<validMiddleware.length;i++){const{name,fn}=validMiddleware[i],{x:nextX,y:nextY,data,reset:reset2}=await fn({x,y,initialPlacement:placement,placement:statefulPlacement,strategy,middlewareData,rects,platform:platform2,elements:{reference,floating}});x=nextX??x,y=nextY??y,middlewareData={...middlewareData,[name]:{...middlewareData[name],...data}},reset2&&resetCount<=50&&(resetCount++,
+typeof reset2=="object"&&(reset2.placement&&(statefulPlacement=reset2.placement),reset2.rects&&(rects=reset2.rects===!0?await platform2.getElementRects({reference,floating,strategy}):reset2.rects),{x,y}=computeCoordsFromPlacement(rects,statefulPlacement,rtl)),i=-1)}return{x,y,placement:statefulPlacement,strategy,middlewareData}};async function detectOverflow(state2,options){var _await$platform$isEle;options===void 0&&(options={});const{x,y,platform:platform2,rects,elements,strategy}=state2,{boundary:boundary2="\
+clippingAncestors",rootBoundary="viewport",elementContext="floating",altBoundary=!1,padding=0}=evaluate(options,state2),paddingObject=getPaddingObject(padding),element2=elements[altBoundary?elementContext==="floating"?"reference":"floating":elementContext],clippingClientRect=rectToClientRect(await platform2.getClippingRect({element:(_await$platform$isEle=await(platform2.isElement==null?void 0:platform2.isElement(element2)))==null||_await$platform$isEle?element2:element2.contextElement||await(platform2.
+getDocumentElement==null?void 0:platform2.getDocumentElement(elements.floating)),boundary:boundary2,rootBoundary,strategy})),rect=elementContext==="floating"?{x,y,width:rects.floating.width,height:rects.floating.height}:rects.reference,offsetParent=await(platform2.getOffsetParent==null?void 0:platform2.getOffsetParent(elements.floating)),offsetScale=await(platform2.isElement==null?void 0:platform2.isElement(offsetParent))?await(platform2.getScale==null?void 0:platform2.getScale(offsetParent))||{
+x:1,y:1}:{x:1,y:1},elementClientRect=rectToClientRect(platform2.convertOffsetParentRelativeRectToViewportRelativeRect?await platform2.convertOffsetParentRelativeRectToViewportRelativeRect({elements,rect,offsetParent,strategy}):rect);return{top:(clippingClientRect.top-elementClientRect.top+paddingObject.top)/offsetScale.y,bottom:(elementClientRect.bottom-clippingClientRect.bottom+paddingObject.bottom)/offsetScale.y,left:(clippingClientRect.left-elementClientRect.left+paddingObject.left)/offsetScale.
+x,right:(elementClientRect.right-clippingClientRect.right+paddingObject.right)/offsetScale.x}}const arrow$1=options=>({name:"arrow",options,async fn(state2){const{x,y,placement,rects,platform:platform2,elements,middlewareData}=state2,{element:element2,padding=0}=evaluate(options,state2)||{};if(element2==null)return{};const paddingObject=getPaddingObject(padding),coords={x,y},axis=getAlignmentAxis(placement),length=getAxisLength(axis),arrowDimensions=await platform2.getDimensions(element2),isYAxis=axis===
+"y",minProp=isYAxis?"top":"left",maxProp=isYAxis?"bottom":"right",clientProp=isYAxis?"clientHeight":"clientWidth",endDiff=rects.reference[length]+rects.reference[axis]-coords[axis]-rects.floating[length],startDiff=coords[axis]-rects.reference[axis],arrowOffsetParent=await(platform2.getOffsetParent==null?void 0:platform2.getOffsetParent(element2));let clientSize=arrowOffsetParent?arrowOffsetParent[clientProp]:0;(!clientSize||!await(platform2.isElement==null?void 0:platform2.isElement(arrowOffsetParent)))&&
+(clientSize=elements.floating[clientProp]||rects.floating[length]);const centerToReference=endDiff/2-startDiff/2,largestPossiblePadding=clientSize/2-arrowDimensions[length]/2-1,minPadding=min(paddingObject[minProp],largestPossiblePadding),maxPadding=min(paddingObject[maxProp],largestPossiblePadding),min$1=minPadding,max2=clientSize-arrowDimensions[length]-maxPadding,center=clientSize/2-arrowDimensions[length]/2+centerToReference,offset2=clamp$1(min$1,center,max2),shouldAddOffset=!middlewareData.
+arrow&&getAlignment(placement)!=null&&center!==offset2&&rects.reference[length]/2-(center<min$1?minPadding:maxPadding)-arrowDimensions[length]/2<0,alignmentOffset=shouldAddOffset?center<min$1?center-min$1:center-max2:0;return{[axis]:coords[axis]+alignmentOffset,data:{[axis]:offset2,centerOffset:center-offset2-alignmentOffset,...shouldAddOffset&&{alignmentOffset}},reset:shouldAddOffset}}}),flip$1=function(options){return options===void 0&&(options={}),{name:"flip",options,async fn(state2){var _middlewareData$arrow,
+_middlewareData$flip;const{placement,middlewareData,rects,initialPlacement,platform:platform2,elements}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0,fallbackPlacements:specifiedFallbackPlacements,fallbackStrategy="bestFit",fallbackAxisSideDirection="none",flipAlignment=!0,...detectOverflowOptions}=evaluate(options,state2);if((_middlewareData$arrow=middlewareData.arrow)!=null&&_middlewareData$arrow.alignmentOffset)return{};const side=getSide$1(placement),initialSideAxis=getSideAxis(
+initialPlacement),isBasePlacement=getSide$1(initialPlacement)===initialPlacement,rtl=await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating)),fallbackPlacements=specifiedFallbackPlacements||(isBasePlacement||!flipAlignment?[getOppositePlacement(initialPlacement)]:getExpandedPlacements(initialPlacement)),hasFallbackAxisSideDirection=fallbackAxisSideDirection!=="none";!specifiedFallbackPlacements&&hasFallbackAxisSideDirection&&fallbackPlacements.push(...getOppositeAxisPlacements(initialPlacement,
+flipAlignment,fallbackAxisSideDirection,rtl));const placements=[initialPlacement,...fallbackPlacements],overflow=await detectOverflow(state2,detectOverflowOptions),overflows=[];let overflowsData=((_middlewareData$flip=middlewareData.flip)==null?void 0:_middlewareData$flip.overflows)||[];if(checkMainAxis&&overflows.push(overflow[side]),checkCrossAxis){const sides2=getAlignmentSides(placement,rects,rtl);overflows.push(overflow[sides2[0]],overflow[sides2[1]])}if(overflowsData=[...overflowsData,{placement,
+overflows}],!overflows.every(side2=>side2<=0)){var _middlewareData$flip2,_overflowsData$filter;const nextIndex=(((_middlewareData$flip2=middlewareData.flip)==null?void 0:_middlewareData$flip2.index)||0)+1,nextPlacement=placements[nextIndex];if(nextPlacement&&(!(checkCrossAxis==="alignment"?initialSideAxis!==getSideAxis(nextPlacement):!1)||overflowsData.every(d2=>d2.overflows[0]>0&&getSideAxis(d2.placement)===initialSideAxis)))return{data:{index:nextIndex,overflows:overflowsData},reset:{placement:nextPlacement}};
+let resetPlacement=(_overflowsData$filter=overflowsData.filter(d2=>d2.overflows[0]<=0).sort((a,b)=>a.overflows[1]-b.overflows[1])[0])==null?void 0:_overflowsData$filter.placement;if(!resetPlacement)switch(fallbackStrategy){case"bestFit":{var _overflowsData$filter2;const placement2=(_overflowsData$filter2=overflowsData.filter(d2=>{if(hasFallbackAxisSideDirection){const currentSideAxis=getSideAxis(d2.placement);return currentSideAxis===initialSideAxis||currentSideAxis==="y"}return!0}).map(d2=>[d2.
+placement,d2.overflows.filter(overflow2=>overflow2>0).reduce((acc,overflow2)=>acc+overflow2,0)]).sort((a,b)=>a[1]-b[1])[0])==null?void 0:_overflowsData$filter2[0];placement2&&(resetPlacement=placement2);break}case"initialPlacement":resetPlacement=initialPlacement;break}if(placement!==resetPlacement)return{reset:{placement:resetPlacement}}}return{}}}};function getSideOffsets(overflow,rect){return{top:overflow.top-rect.height,right:overflow.right-rect.width,bottom:overflow.bottom-rect.height,left:overflow.
+left-rect.width}}function isAnySideFullyClipped(overflow){return sides.some(side=>overflow[side]>=0)}const hide$1=function(options){return options===void 0&&(options={}),{name:"hide",options,async fn(state2){const{rects}=state2,{strategy="referenceHidden",...detectOverflowOptions}=evaluate(options,state2);switch(strategy){case"referenceHidden":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,elementContext:"reference"}),offsets=getSideOffsets(overflow,rects.reference);return{
+data:{referenceHiddenOffsets:offsets,referenceHidden:isAnySideFullyClipped(offsets)}}}case"escaped":{const overflow=await detectOverflow(state2,{...detectOverflowOptions,altBoundary:!0}),offsets=getSideOffsets(overflow,rects.floating);return{data:{escapedOffsets:offsets,escaped:isAnySideFullyClipped(offsets)}}}default:return{}}}}},originSides=new Set(["left","top"]);async function convertValueToCoords(state2,options){const{placement,platform:platform2,elements}=state2,rtl=await(platform2.isRTL==
+null?void 0:platform2.isRTL(elements.floating)),side=getSide$1(placement),alignment=getAlignment(placement),isVertical=getSideAxis(placement)==="y",mainAxisMulti=originSides.has(side)?-1:1,crossAxisMulti=rtl&&isVertical?-1:1,rawValue=evaluate(options,state2);let{mainAxis,crossAxis,alignmentAxis}=typeof rawValue=="number"?{mainAxis:rawValue,crossAxis:0,alignmentAxis:null}:{mainAxis:rawValue.mainAxis||0,crossAxis:rawValue.crossAxis||0,alignmentAxis:rawValue.alignmentAxis};return alignment&&typeof alignmentAxis==
+"number"&&(crossAxis=alignment==="end"?alignmentAxis*-1:alignmentAxis),isVertical?{x:crossAxis*crossAxisMulti,y:mainAxis*mainAxisMulti}:{x:mainAxis*mainAxisMulti,y:crossAxis*crossAxisMulti}}const offset$1=function(options){return options===void 0&&(options=0),{name:"offset",options,async fn(state2){var _middlewareData$offse,_middlewareData$arrow;const{x,y,placement,middlewareData}=state2,diffCoords=await convertValueToCoords(state2,options);return placement===((_middlewareData$offse=middlewareData.
+offset)==null?void 0:_middlewareData$offse.placement)&&(_middlewareData$arrow=middlewareData.arrow)!=null&&_middlewareData$arrow.alignmentOffset?{}:{x:x+diffCoords.x,y:y+diffCoords.y,data:{...diffCoords,placement}}}}},shift$1=function(options){return options===void 0&&(options={}),{name:"shift",options,async fn(state2){const{x,y,placement}=state2,{mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!1,limiter={fn:_ref=>{let{x:x2,y:y2}=_ref;return{x:x2,y:y2}}},...detectOverflowOptions}=evaluate(options,
+state2),coords={x,y},overflow=await detectOverflow(state2,detectOverflowOptions),crossAxis=getSideAxis(getSide$1(placement)),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];if(checkMainAxis){const minSide=mainAxis==="y"?"top":"left",maxSide=mainAxis==="y"?"bottom":"right",min2=mainAxisCoord+overflow[minSide],max2=mainAxisCoord-overflow[maxSide];mainAxisCoord=clamp$1(min2,mainAxisCoord,max2)}if(checkCrossAxis){const minSide=crossAxis==="y"?"\
+top":"left",maxSide=crossAxis==="y"?"bottom":"right",min2=crossAxisCoord+overflow[minSide],max2=crossAxisCoord-overflow[maxSide];crossAxisCoord=clamp$1(min2,crossAxisCoord,max2)}const limitedCoords=limiter.fn({...state2,[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord});return{...limitedCoords,data:{x:limitedCoords.x-x,y:limitedCoords.y-y,enabled:{[mainAxis]:checkMainAxis,[crossAxis]:checkCrossAxis}}}}}},limitShift$1=function(options){return options===void 0&&(options={}),{options,fn(state2){
+const{x,y,placement,rects,middlewareData}=state2,{offset:offset2=0,mainAxis:checkMainAxis=!0,crossAxis:checkCrossAxis=!0}=evaluate(options,state2),coords={x,y},crossAxis=getSideAxis(placement),mainAxis=getOppositeAxis(crossAxis);let mainAxisCoord=coords[mainAxis],crossAxisCoord=coords[crossAxis];const rawOffset=evaluate(offset2,state2),computedOffset=typeof rawOffset=="number"?{mainAxis:rawOffset,crossAxis:0}:{mainAxis:0,crossAxis:0,...rawOffset};if(checkMainAxis){const len=mainAxis==="y"?"heigh\
+t":"width",limitMin=rects.reference[mainAxis]-rects.floating[len]+computedOffset.mainAxis,limitMax=rects.reference[mainAxis]+rects.reference[len]-computedOffset.mainAxis;mainAxisCoord<limitMin?mainAxisCoord=limitMin:mainAxisCoord>limitMax&&(mainAxisCoord=limitMax)}if(checkCrossAxis){var _middlewareData$offse,_middlewareData$offse2;const len=mainAxis==="y"?"width":"height",isOriginSide=originSides.has(getSide$1(placement)),limitMin=rects.reference[crossAxis]-rects.floating[len]+(isOriginSide&&((_middlewareData$offse=
+middlewareData.offset)==null?void 0:_middlewareData$offse[crossAxis])||0)+(isOriginSide?0:computedOffset.crossAxis),limitMax=rects.reference[crossAxis]+rects.reference[len]+(isOriginSide?0:((_middlewareData$offse2=middlewareData.offset)==null?void 0:_middlewareData$offse2[crossAxis])||0)-(isOriginSide?computedOffset.crossAxis:0);crossAxisCoord<limitMin?crossAxisCoord=limitMin:crossAxisCoord>limitMax&&(crossAxisCoord=limitMax)}return{[mainAxis]:mainAxisCoord,[crossAxis]:crossAxisCoord}}}},size$1=function(options){
+return options===void 0&&(options={}),{name:"size",options,async fn(state2){var _state$middlewareData,_state$middlewareData2;const{placement,rects,platform:platform2,elements}=state2,{apply=()=>{},...detectOverflowOptions}=evaluate(options,state2),overflow=await detectOverflow(state2,detectOverflowOptions),side=getSide$1(placement),alignment=getAlignment(placement),isYAxis=getSideAxis(placement)==="y",{width,height}=rects.floating;let heightSide,widthSide;side==="top"||side==="bottom"?(heightSide=
+side,widthSide=alignment===(await(platform2.isRTL==null?void 0:platform2.isRTL(elements.floating))?"start":"end")?"left":"right"):(widthSide=side,heightSide=alignment==="end"?"top":"bottom");const maximumClippingHeight=height-overflow.top-overflow.bottom,maximumClippingWidth=width-overflow.left-overflow.right,overflowAvailableHeight=min(height-overflow[heightSide],maximumClippingHeight),overflowAvailableWidth=min(width-overflow[widthSide],maximumClippingWidth),noShift=!state2.middlewareData.shift;
+let availableHeight=overflowAvailableHeight,availableWidth=overflowAvailableWidth;if((_state$middlewareData=state2.middlewareData.shift)!=null&&_state$middlewareData.enabled.x&&(availableWidth=maximumClippingWidth),(_state$middlewareData2=state2.middlewareData.shift)!=null&&_state$middlewareData2.enabled.y&&(availableHeight=maximumClippingHeight),noShift&&!alignment){const xMin=max(overflow.left,0),xMax=max(overflow.right,0),yMin=max(overflow.top,0),yMax=max(overflow.bottom,0);isYAxis?availableWidth=
+width-2*(xMin!==0||xMax!==0?xMin+xMax:max(overflow.left,overflow.right)):availableHeight=height-2*(yMin!==0||yMax!==0?yMin+yMax:max(overflow.top,overflow.bottom))}await apply({...state2,availableWidth,availableHeight});const nextDimensions=await platform2.getDimensions(elements.floating);return width!==nextDimensions.width||height!==nextDimensions.height?{reset:{rects:!0}}:{}}}};function hasWindow(){return typeof window<"u"}function getNodeName(node2){return isNode(node2)?(node2.nodeName||"").toLowerCase():
+"#document"}function getWindow(node2){var _node$ownerDocument;return(node2==null||(_node$ownerDocument=node2.ownerDocument)==null?void 0:_node$ownerDocument.defaultView)||window}function getDocumentElement(node2){var _ref;return(_ref=(isNode(node2)?node2.ownerDocument:node2.document)||window.document)==null?void 0:_ref.documentElement}function isNode(value){return hasWindow()?value instanceof Node||value instanceof getWindow(value).Node:!1}function isElement(value){return hasWindow()?value instanceof
+Element||value instanceof getWindow(value).Element:!1}function isHTMLElement(value){return hasWindow()?value instanceof HTMLElement||value instanceof getWindow(value).HTMLElement:!1}function isShadowRoot(value){return!hasWindow()||typeof ShadowRoot>"u"?!1:value instanceof ShadowRoot||value instanceof getWindow(value).ShadowRoot}const invalidOverflowDisplayValues=new Set(["inline","contents"]);function isOverflowElement(element2){const{overflow,overflowX,overflowY,display}=getComputedStyle$1(element2);
+return/auto|scroll|overlay|hidden|clip/.test(overflow+overflowY+overflowX)&&!invalidOverflowDisplayValues.has(display)}const tableElements=new Set(["table","td","th"]);function isTableElement(element2){return tableElements.has(getNodeName(element2))}const topLayerSelectors=[":popover-open",":modal"];function isTopLayer(element2){return topLayerSelectors.some(selector=>{try{return element2.matches(selector)}catch{return!1}})}const transformProperties=["transform","translate","scale","rotate","per\
+spective"],willChangeValues=["transform","translate","scale","rotate","perspective","filter"],containValues=["paint","layout","strict","content"];function isContainingBlock(elementOrCss){const webkit=isWebKit(),css2=isElement(elementOrCss)?getComputedStyle$1(elementOrCss):elementOrCss;return transformProperties.some(value=>css2[value]?css2[value]!=="none":!1)||(css2.containerType?css2.containerType!=="normal":!1)||!webkit&&(css2.backdropFilter?css2.backdropFilter!=="none":!1)||!webkit&&(css2.filter?
+css2.filter!=="none":!1)||willChangeValues.some(value=>(css2.willChange||"").includes(value))||containValues.some(value=>(css2.contain||"").includes(value))}function getContainingBlock(element2){let currentNode=getParentNode(element2);for(;isHTMLElement(currentNode)&&!isLastTraversableNode(currentNode);){if(isContainingBlock(currentNode))return currentNode;if(isTopLayer(currentNode))return null;currentNode=getParentNode(currentNode)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports?
+!1:CSS.supports("-webkit-backdrop-filter","none")}const lastTraversableNodeNames=new Set(["html","body","#document"]);function isLastTraversableNode(node2){return lastTraversableNodeNames.has(getNodeName(node2))}function getComputedStyle$1(element2){return getWindow(element2).getComputedStyle(element2)}function getNodeScroll(element2){return isElement(element2)?{scrollLeft:element2.scrollLeft,scrollTop:element2.scrollTop}:{scrollLeft:element2.scrollX,scrollTop:element2.scrollY}}function getParentNode(node2){
+if(getNodeName(node2)==="html")return node2;const result=node2.assignedSlot||node2.parentNode||isShadowRoot(node2)&&node2.host||getDocumentElement(node2);return isShadowRoot(result)?result.host:result}function getNearestOverflowAncestor(node2){const parentNode=getParentNode(node2);return isLastTraversableNode(parentNode)?node2.ownerDocument?node2.ownerDocument.body:node2.body:isHTMLElement(parentNode)&&isOverflowElement(parentNode)?parentNode:getNearestOverflowAncestor(parentNode)}function getOverflowAncestors(node2,list2,traverseIframes){
+var _node$ownerDocument2;list2===void 0&&(list2=[]),traverseIframes===void 0&&(traverseIframes=!0);const scrollableAncestor=getNearestOverflowAncestor(node2),isBody=scrollableAncestor===((_node$ownerDocument2=node2.ownerDocument)==null?void 0:_node$ownerDocument2.body),win=getWindow(scrollableAncestor);if(isBody){const frameElement=getFrameElement(win);return list2.concat(win,win.visualViewport||[],isOverflowElement(scrollableAncestor)?scrollableAncestor:[],frameElement&&traverseIframes?getOverflowAncestors(
+frameElement):[])}return list2.concat(scrollableAncestor,getOverflowAncestors(scrollableAncestor,[],traverseIframes))}function getFrameElement(win){return win.parent&&Object.getPrototypeOf(win.parent)?win.frameElement:null}function getCssDimensions(element2){const css2=getComputedStyle$1(element2);let width=parseFloat(css2.width)||0,height=parseFloat(css2.height)||0;const hasOffset=isHTMLElement(element2),offsetWidth=hasOffset?element2.offsetWidth:width,offsetHeight=hasOffset?element2.offsetHeight:
+height,shouldFallback=round(width)!==offsetWidth||round(height)!==offsetHeight;return shouldFallback&&(width=offsetWidth,height=offsetHeight),{width,height,$:shouldFallback}}function unwrapElement(element2){return isElement(element2)?element2:element2.contextElement}function getScale(element2){const domElement=unwrapElement(element2);if(!isHTMLElement(domElement))return createCoords(1);const rect=domElement.getBoundingClientRect(),{width,height,$}=getCssDimensions(domElement);let x=($?round(rect.
+width):rect.width)/width,y=($?round(rect.height):rect.height)/height;return(!x||!Number.isFinite(x))&&(x=1),(!y||!Number.isFinite(y))&&(y=1),{x,y}}const noOffsets=createCoords(0);function getVisualOffsets(element2){const win=getWindow(element2);return!isWebKit()||!win.visualViewport?noOffsets:{x:win.visualViewport.offsetLeft,y:win.visualViewport.offsetTop}}function shouldAddVisualOffsets(element2,isFixed,floatingOffsetParent){return isFixed===void 0&&(isFixed=!1),!floatingOffsetParent||isFixed&&
+floatingOffsetParent!==getWindow(element2)?!1:isFixed}function getBoundingClientRect(element2,includeScale,isFixedStrategy,offsetParent){includeScale===void 0&&(includeScale=!1),isFixedStrategy===void 0&&(isFixedStrategy=!1);const clientRect=element2.getBoundingClientRect(),domElement=unwrapElement(element2);let scale2=createCoords(1);includeScale&&(offsetParent?isElement(offsetParent)&&(scale2=getScale(offsetParent)):scale2=getScale(element2));const visualOffsets=shouldAddVisualOffsets(domElement,
+isFixedStrategy,offsetParent)?getVisualOffsets(domElement):createCoords(0);let x=(clientRect.left+visualOffsets.x)/scale2.x,y=(clientRect.top+visualOffsets.y)/scale2.y,width=clientRect.width/scale2.x,height=clientRect.height/scale2.y;if(domElement){const win=getWindow(domElement),offsetWin=offsetParent&&isElement(offsetParent)?getWindow(offsetParent):offsetParent;let currentWin=win,currentIFrame=getFrameElement(currentWin);for(;currentIFrame&&offsetParent&&offsetWin!==currentWin;){const iframeScale=getScale(
+currentIFrame),iframeRect=currentIFrame.getBoundingClientRect(),css2=getComputedStyle$1(currentIFrame),left=iframeRect.left+(currentIFrame.clientLeft+parseFloat(css2.paddingLeft))*iframeScale.x,top=iframeRect.top+(currentIFrame.clientTop+parseFloat(css2.paddingTop))*iframeScale.y;x*=iframeScale.x,y*=iframeScale.y,width*=iframeScale.x,height*=iframeScale.y,x+=left,y+=top,currentWin=getWindow(currentIFrame),currentIFrame=getFrameElement(currentWin)}}return rectToClientRect({width,height,x,y})}function getWindowScrollBarX(element2,rect){
+const leftScroll=getNodeScroll(element2).scrollLeft;return rect?rect.left+leftScroll:getBoundingClientRect(getDocumentElement(element2)).left+leftScroll}function getHTMLOffset(documentElement,scroll,ignoreScrollbarX){ignoreScrollbarX===void 0&&(ignoreScrollbarX=!1);const htmlRect=documentElement.getBoundingClientRect(),x=htmlRect.left+scroll.scrollLeft-(ignoreScrollbarX?0:getWindowScrollBarX(documentElement,htmlRect)),y=htmlRect.top+scroll.scrollTop;return{x,y}}function convertOffsetParentRelativeRectToViewportRelativeRect(_ref){
+let{elements,rect,offsetParent,strategy}=_ref;const isFixed=strategy==="fixed",documentElement=getDocumentElement(offsetParent),topLayer=elements?isTopLayer(elements.floating):!1;if(offsetParent===documentElement||topLayer&&isFixed)return rect;let scroll={scrollLeft:0,scrollTop:0},scale2=createCoords(1);const offsets=createCoords(0),isOffsetParentAnElement=isHTMLElement(offsetParent);if((isOffsetParentAnElement||!isOffsetParentAnElement&&!isFixed)&&((getNodeName(offsetParent)!=="body"||isOverflowElement(
+documentElement))&&(scroll=getNodeScroll(offsetParent)),isHTMLElement(offsetParent))){const offsetRect=getBoundingClientRect(offsetParent);scale2=getScale(offsetParent),offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}const htmlOffset=documentElement&&!isOffsetParentAnElement&&!isFixed?getHTMLOffset(documentElement,scroll,!0):createCoords(0);return{width:rect.width*scale2.x,height:rect.height*scale2.y,x:rect.x*scale2.x-scroll.scrollLeft*scale2.x+offsets.
+x+htmlOffset.x,y:rect.y*scale2.y-scroll.scrollTop*scale2.y+offsets.y+htmlOffset.y}}function getClientRects(element2){return Array.from(element2.getClientRects())}function getDocumentRect(element2){const html2=getDocumentElement(element2),scroll=getNodeScroll(element2),body2=element2.ownerDocument.body,width=max(html2.scrollWidth,html2.clientWidth,body2.scrollWidth,body2.clientWidth),height=max(html2.scrollHeight,html2.clientHeight,body2.scrollHeight,body2.clientHeight);let x=-scroll.scrollLeft+getWindowScrollBarX(
+element2);const y=-scroll.scrollTop;return getComputedStyle$1(body2).direction==="rtl"&&(x+=max(html2.clientWidth,body2.clientWidth)-width),{width,height,x,y}}function getViewportRect(element2,strategy){const win=getWindow(element2),html2=getDocumentElement(element2),visualViewport=win.visualViewport;let width=html2.clientWidth,height=html2.clientHeight,x=0,y=0;if(visualViewport){width=visualViewport.width,height=visualViewport.height;const visualViewportBased=isWebKit();(!visualViewportBased||visualViewportBased&&
+strategy==="fixed")&&(x=visualViewport.offsetLeft,y=visualViewport.offsetTop)}return{width,height,x,y}}const absoluteOrFixed=new Set(["absolute","fixed"]);function getInnerBoundingClientRect(element2,strategy){const clientRect=getBoundingClientRect(element2,!0,strategy==="fixed"),top=clientRect.top+element2.clientTop,left=clientRect.left+element2.clientLeft,scale2=isHTMLElement(element2)?getScale(element2):createCoords(1),width=element2.clientWidth*scale2.x,height=element2.clientHeight*scale2.y,
+x=left*scale2.x,y=top*scale2.y;return{width,height,x,y}}function getClientRectFromClippingAncestor(element2,clippingAncestor,strategy){let rect;if(clippingAncestor==="viewport")rect=getViewportRect(element2,strategy);else if(clippingAncestor==="document")rect=getDocumentRect(getDocumentElement(element2));else if(isElement(clippingAncestor))rect=getInnerBoundingClientRect(clippingAncestor,strategy);else{const visualOffsets=getVisualOffsets(element2);rect={x:clippingAncestor.x-visualOffsets.x,y:clippingAncestor.
+y-visualOffsets.y,width:clippingAncestor.width,height:clippingAncestor.height}}return rectToClientRect(rect)}function hasFixedPositionAncestor(element2,stopNode){const parentNode=getParentNode(element2);return parentNode===stopNode||!isElement(parentNode)||isLastTraversableNode(parentNode)?!1:getComputedStyle$1(parentNode).position==="fixed"||hasFixedPositionAncestor(parentNode,stopNode)}function getClippingElementAncestors(element2,cache2){const cachedResult=cache2.get(element2);if(cachedResult)
+return cachedResult;let result=getOverflowAncestors(element2,[],!1).filter(el=>isElement(el)&&getNodeName(el)!=="body"),currentContainingBlockComputedStyle=null;const elementIsFixed=getComputedStyle$1(element2).position==="fixed";let currentNode=elementIsFixed?getParentNode(element2):element2;for(;isElement(currentNode)&&!isLastTraversableNode(currentNode);){const computedStyle=getComputedStyle$1(currentNode),currentNodeIsContaining=isContainingBlock(currentNode);!currentNodeIsContaining&&computedStyle.
+position==="fixed"&&(currentContainingBlockComputedStyle=null),(elementIsFixed?!currentNodeIsContaining&&!currentContainingBlockComputedStyle:!currentNodeIsContaining&&computedStyle.position==="static"&&!!currentContainingBlockComputedStyle&&absoluteOrFixed.has(currentContainingBlockComputedStyle.position)||isOverflowElement(currentNode)&&!currentNodeIsContaining&&hasFixedPositionAncestor(element2,currentNode))?result=result.filter(ancestor=>ancestor!==currentNode):currentContainingBlockComputedStyle=
+computedStyle,currentNode=getParentNode(currentNode)}return cache2.set(element2,result),result}function getClippingRect(_ref){let{element:element2,boundary:boundary2,rootBoundary,strategy}=_ref;const clippingAncestors=[...boundary2==="clippingAncestors"?isTopLayer(element2)?[]:getClippingElementAncestors(element2,this._c):[].concat(boundary2),rootBoundary],firstClippingAncestor=clippingAncestors[0],clippingRect=clippingAncestors.reduce((accRect,clippingAncestor)=>{const rect=getClientRectFromClippingAncestor(
+element2,clippingAncestor,strategy);return accRect.top=max(rect.top,accRect.top),accRect.right=min(rect.right,accRect.right),accRect.bottom=min(rect.bottom,accRect.bottom),accRect.left=max(rect.left,accRect.left),accRect},getClientRectFromClippingAncestor(element2,firstClippingAncestor,strategy));return{width:clippingRect.right-clippingRect.left,height:clippingRect.bottom-clippingRect.top,x:clippingRect.left,y:clippingRect.top}}function getDimensions(element2){const{width,height}=getCssDimensions(
+element2);return{width,height}}function getRectRelativeToOffsetParent(element2,offsetParent,strategy){const isOffsetParentAnElement=isHTMLElement(offsetParent),documentElement=getDocumentElement(offsetParent),isFixed=strategy==="fixed",rect=getBoundingClientRect(element2,!0,isFixed,offsetParent);let scroll={scrollLeft:0,scrollTop:0};const offsets=createCoords(0);function setLeftRTLScrollbarOffset(){offsets.x=getWindowScrollBarX(documentElement)}if(isOffsetParentAnElement||!isOffsetParentAnElement&&
+!isFixed)if((getNodeName(offsetParent)!=="body"||isOverflowElement(documentElement))&&(scroll=getNodeScroll(offsetParent)),isOffsetParentAnElement){const offsetRect=getBoundingClientRect(offsetParent,!0,isFixed,offsetParent);offsets.x=offsetRect.x+offsetParent.clientLeft,offsets.y=offsetRect.y+offsetParent.clientTop}else documentElement&&setLeftRTLScrollbarOffset();isFixed&&!isOffsetParentAnElement&&documentElement&&setLeftRTLScrollbarOffset();const htmlOffset=documentElement&&!isOffsetParentAnElement&&
+!isFixed?getHTMLOffset(documentElement,scroll):createCoords(0),x=rect.left+scroll.scrollLeft-offsets.x-htmlOffset.x,y=rect.top+scroll.scrollTop-offsets.y-htmlOffset.y;return{x,y,width:rect.width,height:rect.height}}function isStaticPositioned(element2){return getComputedStyle$1(element2).position==="static"}function getTrueOffsetParent(element2,polyfill){if(!isHTMLElement(element2)||getComputedStyle$1(element2).position==="fixed")return null;if(polyfill)return polyfill(element2);let rawOffsetParent=element2.
+offsetParent;return getDocumentElement(element2)===rawOffsetParent&&(rawOffsetParent=rawOffsetParent.ownerDocument.body),rawOffsetParent}function getOffsetParent(element2,polyfill){const win=getWindow(element2);if(isTopLayer(element2))return win;if(!isHTMLElement(element2)){let svgOffsetParent=getParentNode(element2);for(;svgOffsetParent&&!isLastTraversableNode(svgOffsetParent);){if(isElement(svgOffsetParent)&&!isStaticPositioned(svgOffsetParent))return svgOffsetParent;svgOffsetParent=getParentNode(
+svgOffsetParent)}return win}let offsetParent=getTrueOffsetParent(element2,polyfill);for(;offsetParent&&isTableElement(offsetParent)&&isStaticPositioned(offsetParent);)offsetParent=getTrueOffsetParent(offsetParent,polyfill);return offsetParent&&isLastTraversableNode(offsetParent)&&isStaticPositioned(offsetParent)&&!isContainingBlock(offsetParent)?win:offsetParent||getContainingBlock(element2)||win}const getElementRects=async function(data){const getOffsetParentFn=this.getOffsetParent||getOffsetParent,
+getDimensionsFn=this.getDimensions,floatingDimensions=await getDimensionsFn(data.floating);return{reference:getRectRelativeToOffsetParent(data.reference,await getOffsetParentFn(data.floating),data.strategy),floating:{x:0,y:0,width:floatingDimensions.width,height:floatingDimensions.height}}};function isRTL(element2){return getComputedStyle$1(element2).direction==="rtl"}const platform={convertOffsetParentRelativeRectToViewportRelativeRect,getDocumentElement,getClippingRect,getOffsetParent,getElementRects,
+getClientRects,getDimensions,getScale,isElement,isRTL};function rectsAreEqual(a,b){return a.x===b.x&&a.y===b.y&&a.width===b.width&&a.height===b.height}function observeMove(element2,onMove){let io=null,timeoutId;const root2=getDocumentElement(element2);function cleanup(){var _io;clearTimeout(timeoutId),(_io=io)==null||_io.disconnect(),io=null}function refresh(skip,threshold){skip===void 0&&(skip=!1),threshold===void 0&&(threshold=1),cleanup();const elementRectForRootMargin=element2.getBoundingClientRect(),
+{left,top,width,height}=elementRectForRootMargin;if(skip||onMove(),!width||!height)return;const insetTop=floor(top),insetRight=floor(root2.clientWidth-(left+width)),insetBottom=floor(root2.clientHeight-(top+height)),insetLeft=floor(left),options={rootMargin:-insetTop+"px "+-insetRight+"px "+-insetBottom+"px "+-insetLeft+"px",threshold:max(0,min(1,threshold))||1};let isFirstUpdate=!0;function handleObserve(entries){const ratio=entries[0].intersectionRatio;if(ratio!==threshold){if(!isFirstUpdate)return refresh();
+ratio?refresh(!1,ratio):timeoutId=setTimeout(()=>{refresh(!1,1e-7)},1e3)}ratio===1&&!rectsAreEqual(elementRectForRootMargin,element2.getBoundingClientRect())&&refresh(),isFirstUpdate=!1}try{io=new IntersectionObserver(handleObserve,{...options,root:root2.ownerDocument})}catch{io=new IntersectionObserver(handleObserve,options)}io.observe(element2)}return refresh(!0),cleanup}function autoUpdate(reference,floating,update2,options){options===void 0&&(options={});const{ancestorScroll=!0,ancestorResize=!0,
+elementResize=typeof ResizeObserver=="function",layoutShift=typeof IntersectionObserver=="function",animationFrame=!1}=options,referenceEl=unwrapElement(reference),ancestors=ancestorScroll||ancestorResize?[...referenceEl?getOverflowAncestors(referenceEl):[],...getOverflowAncestors(floating)]:[];ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.addEventListener("scroll",update2,{passive:!0}),ancestorResize&&ancestor.addEventListener("resize",update2)});const cleanupIo=referenceEl&&layoutShift?
+observeMove(referenceEl,update2):null;let reobserveFrame=-1,resizeObserver=null;elementResize&&(resizeObserver=new ResizeObserver(_ref=>{let[firstEntry]=_ref;firstEntry&&firstEntry.target===referenceEl&&resizeObserver&&(resizeObserver.unobserve(floating),cancelAnimationFrame(reobserveFrame),reobserveFrame=requestAnimationFrame(()=>{var _resizeObserver;(_resizeObserver=resizeObserver)==null||_resizeObserver.observe(floating)})),update2()}),referenceEl&&!animationFrame&&resizeObserver.observe(referenceEl),
+resizeObserver.observe(floating));let frameId,prevRefRect=animationFrame?getBoundingClientRect(reference):null;animationFrame&&frameLoop();function frameLoop(){const nextRefRect=getBoundingClientRect(reference);prevRefRect&&!rectsAreEqual(prevRefRect,nextRefRect)&&update2(),prevRefRect=nextRefRect,frameId=requestAnimationFrame(frameLoop)}return update2(),()=>{var _resizeObserver2;ancestors.forEach(ancestor=>{ancestorScroll&&ancestor.removeEventListener("scroll",update2),ancestorResize&&ancestor.
+removeEventListener("resize",update2)}),cleanupIo?.(),(_resizeObserver2=resizeObserver)==null||_resizeObserver2.disconnect(),resizeObserver=null,animationFrame&&cancelAnimationFrame(frameId)}}const offset=offset$1,shift=shift$1,flip=flip$1,size=size$1,hide=hide$1,arrow=arrow$1,limitShift=limitShift$1,computePosition=(reference,floating,options)=>{const cache2=new Map,mergedOptions={platform,...options},platformWithCache={...mergedOptions.platform,_c:cache2};return computePosition$1(reference,floating,
+{...mergedOptions,platform:platformWithCache})};function get(valueOrGetValue){return typeof valueOrGetValue=="function"?valueOrGetValue():valueOrGetValue}function getDPR(element2){return typeof window>"u"?1:(element2.ownerDocument.defaultView||window).devicePixelRatio||1}function roundByDPR(element2,value){const dpr=getDPR(element2);return Math.round(value*dpr)/dpr}function getFloatingContentCSSVars(name){return{[`--bits-${name}-content-transform-origin`]:"var(--bits-floating-transform-origin)",
+[`--bits-${name}-content-available-width`]:"var(--bits-floating-available-width)",[`--bits-${name}-content-available-height`]:"var(--bits-floating-available-height)",[`--bits-${name}-anchor-width`]:"var(--bits-floating-anchor-width)",[`--bits-${name}-anchor-height`]:"var(--bits-floating-anchor-height)"}}function useFloating(options){const whileElementsMountedOption=options.whileElementsMounted,openOption=user_derived(()=>get(options.open)??!0),middlewareOption=user_derived(()=>get(options.middleware)),
+transformOption=user_derived(()=>get(options.transform)??!0),placementOption=user_derived(()=>get(options.placement)??"bottom"),strategyOption=user_derived(()=>get(options.strategy)??"absolute"),sideOffsetOption=user_derived(()=>get(options.sideOffset)??0),alignOffsetOption=user_derived(()=>get(options.alignOffset)??0),reference=options.reference;let x=state$1(0),y=state$1(0);const floating=simpleBox(null);let strategy=state$1(proxy(get$3(strategyOption))),placement=state$1(proxy(get$3(placementOption))),
+middlewareData=state$1(proxy({})),isPositioned=state$1(!1),hasWhileMountedPosition=!1,updateRequestId=0;const floatingStyles=user_derived(()=>{const xVal=floating.current?roundByDPR(floating.current,get$3(x)):get$3(x),yVal=floating.current?roundByDPR(floating.current,get$3(y)):get$3(y);return get$3(transformOption)?{position:get$3(strategy),left:"0",top:"0",transform:`translate(${xVal}px, ${yVal}px)`,...floating.current&&getDPR(floating.current)>=1.5&&{willChange:"transform"}}:{position:get$3(strategy),
+left:`${xVal}px`,top:`${yVal}px`}});let whileElementsMountedCleanup;function update2(){if(reference.current===null||floating.current===null)return;const referenceNode=reference.current,floatingNode=floating.current,requestId=++updateRequestId;computePosition(referenceNode,floatingNode,{middleware:get$3(middlewareOption),placement:get$3(placementOption),strategy:get$3(strategyOption)}).then(position2=>{if(requestId!==updateRequestId||reference.current!==referenceNode||floating.current!==floatingNode)
+return;if(isReferenceHidden(referenceNode)){set$1(middlewareData,{...get$3(middlewareData),hide:{...get$3(middlewareData).hide,referenceHidden:!0}},!0);return}if(!get$3(openOption)&&get$3(x)!==0&&get$3(y)!==0){const maxExpectedOffset=Math.max(Math.abs(get$3(sideOffsetOption)),Math.abs(get$3(alignOffsetOption)),15);if(position2.x<=maxExpectedOffset&&position2.y<=maxExpectedOffset)return}set$1(x,position2.x,!0),set$1(y,position2.y,!0),set$1(strategy,position2.strategy,!0),set$1(placement,position2.
+placement,!0),set$1(middlewareData,position2.middlewareData,!0),set$1(isPositioned,!0)})}function cleanup(){typeof whileElementsMountedCleanup=="function"&&(whileElementsMountedCleanup(),whileElementsMountedCleanup=void 0),updateRequestId++}function attach2(){if(cleanup(),whileElementsMountedOption===void 0){update2();return}get$3(openOption)&&(reference.current===null||floating.current===null||(whileElementsMountedCleanup=whileElementsMountedOption(reference.current,floating.current,update2)))}
+function reset2(){!get$3(openOption)&&floating.current===null&&set$1(isPositioned,!1)}function trackWhileMountedDeps(){return[get$3(middlewareOption),get$3(placementOption),get$3(strategyOption),get$3(sideOffsetOption),get$3(alignOffsetOption),get$3(openOption)]}return user_effect(()=>{whileElementsMountedOption===void 0&&get$3(openOption)&&update2()}),user_effect(attach2),user_effect(()=>{if(whileElementsMountedOption!==void 0){if(trackWhileMountedDeps(),!get$3(openOption)){hasWhileMountedPosition=
+!1;return}if(!get$3(isPositioned)){hasWhileMountedPosition=!1;return}if(!hasWhileMountedPosition){hasWhileMountedPosition=!0;return}update2()}}),user_effect(reset2),user_effect(()=>cleanup),{floating,reference,get strategy(){return get$3(strategy)},get placement(){return get$3(placement)},get middlewareData(){return get$3(middlewareData)},get isPositioned(){return get$3(isPositioned)},get floatingStyles(){return get$3(floatingStyles)},get update(){return update2}}}function isReferenceHidden(node2){
+return node2 instanceof Element?!node2.isConnected||node2 instanceof HTMLElement&&node2.hidden?!0:node2.getClientRects().length===0:!1}const OPPOSITE_SIDE={top:"bottom",right:"left",bottom:"top",left:"right"},FloatingRootContext=new Context$1("Floating.Root"),FloatingContentContext=new Context$1("Floating.Content"),FloatingTooltipRootContext=new Context$1("Floating.Root");class FloatingRootState{static create(tooltip=!1){return tooltip?FloatingTooltipRootContext.set(new FloatingRootState):FloatingRootContext.
+set(new FloatingRootState)}anchorNode=simpleBox(null);customAnchorNode=simpleBox(null);triggerNode=simpleBox(null);constructor(){user_effect(()=>{this.customAnchorNode.current?typeof this.customAnchorNode.current=="string"?this.anchorNode.current=document.querySelector(this.customAnchorNode.current):this.anchorNode.current=this.customAnchorNode.current:this.anchorNode.current=this.triggerNode.current})}}class FloatingContentState{static create(opts,tooltip=!1){return tooltip?FloatingContentContext.
+set(new FloatingContentState(opts,FloatingTooltipRootContext.get())):FloatingContentContext.set(new FloatingContentState(opts,FloatingRootContext.get()))}opts;root;contentRef=simpleBox(null);wrapperRef=simpleBox(null);arrowRef=simpleBox(null);contentAttachment=attachRef(this.contentRef);wrapperAttachment=attachRef(this.wrapperRef);arrowAttachment=attachRef(this.arrowRef);arrowId=simpleBox(useId());#transformedStyle=user_derived(()=>{if(typeof this.opts.style=="string")return cssToStyleObj(this.opts.
+style);if(!this.opts.style)return{}});#updatePositionStrategy=void 0;#arrowSize=new ElementSize(()=>this.arrowRef.current??void 0);#arrowWidth=user_derived(()=>this.#arrowSize?.width??0);#arrowHeight=user_derived(()=>this.#arrowSize?.height??0);#desiredPlacement=user_derived(()=>this.opts.side?.current+(this.opts.align.current!=="center"?`-${this.opts.align.current}`:""));#boundary=user_derived(()=>Array.isArray(this.opts.collisionBoundary.current)?this.opts.collisionBoundary.current:[this.opts.
+collisionBoundary.current]);#hasExplicitBoundaries=user_derived(()=>get$3(this.#boundary).length>0);get hasExplicitBoundaries(){return get$3(this.#hasExplicitBoundaries)}set hasExplicitBoundaries(value){set$1(this.#hasExplicitBoundaries,value)}#detectOverflowOptions=user_derived(()=>({padding:this.opts.collisionPadding.current,boundary:get$3(this.#boundary).filter(isNotNull),altBoundary:this.hasExplicitBoundaries}));get detectOverflowOptions(){return get$3(this.#detectOverflowOptions)}set detectOverflowOptions(value){
+set$1(this.#detectOverflowOptions,value)}#availableWidth=state$1(void 0);#availableHeight=state$1(void 0);#anchorWidth=state$1(void 0);#anchorHeight=state$1(void 0);#middleware=user_derived(()=>[offset({mainAxis:this.opts.sideOffset.current+get$3(this.#arrowHeight),alignmentAxis:this.opts.alignOffset.current}),this.opts.avoidCollisions.current&&shift({mainAxis:!0,crossAxis:!1,limiter:this.opts.sticky.current==="partial"?limitShift():void 0,...this.detectOverflowOptions}),this.opts.avoidCollisions.
+current&&flip({...this.detectOverflowOptions}),size({...this.detectOverflowOptions,apply:({rects,availableWidth,availableHeight})=>{const{width:anchorWidth,height:anchorHeight}=rects.reference;set$1(this.#availableWidth,availableWidth,!0),set$1(this.#availableHeight,availableHeight,!0),set$1(this.#anchorWidth,anchorWidth,!0),set$1(this.#anchorHeight,anchorHeight,!0)}}),this.arrowRef.current&&arrow({element:this.arrowRef.current,padding:this.opts.arrowPadding.current}),transformOrigin({arrowWidth:get$3(
+this.#arrowWidth),arrowHeight:get$3(this.#arrowHeight)}),this.opts.hideWhenDetached.current&&hide({strategy:"referenceHidden",...this.detectOverflowOptions})].filter(Boolean));get middleware(){return get$3(this.#middleware)}set middleware(value){set$1(this.#middleware,value)}floating;#placedSide=user_derived(()=>getSideFromPlacement(this.floating.placement));get placedSide(){return get$3(this.#placedSide)}set placedSide(value){set$1(this.#placedSide,value)}#placedAlign=user_derived(()=>getAlignFromPlacement(
+this.floating.placement));get placedAlign(){return get$3(this.#placedAlign)}set placedAlign(value){set$1(this.#placedAlign,value)}#arrowX=user_derived(()=>this.floating.middlewareData.arrow?.x??0);get arrowX(){return get$3(this.#arrowX)}set arrowX(value){set$1(this.#arrowX,value)}#arrowY=user_derived(()=>this.floating.middlewareData.arrow?.y??0);get arrowY(){return get$3(this.#arrowY)}set arrowY(value){set$1(this.#arrowY,value)}#cannotCenterArrow=user_derived(()=>this.floating.middlewareData.arrow?.
+centerOffset!==0);get cannotCenterArrow(){return get$3(this.#cannotCenterArrow)}set cannotCenterArrow(value){set$1(this.#cannotCenterArrow,value)}#contentZIndex=state$1();get contentZIndex(){return get$3(this.#contentZIndex)}set contentZIndex(value){set$1(this.#contentZIndex,value,!0)}#arrowBaseSide=user_derived(()=>OPPOSITE_SIDE[this.placedSide]);get arrowBaseSide(){return get$3(this.#arrowBaseSide)}set arrowBaseSide(value){set$1(this.#arrowBaseSide,value)}#wrapperProps=user_derived(()=>({id:this.
+opts.wrapperId.current,"data-bits-floating-content-wrapper":"",style:{...this.floating.floatingStyles,transform:this.floating.isPositioned?this.floating.floatingStyles.transform:"translate(0, -200%)",minWidth:"max-content",zIndex:this.contentZIndex,"--bits-floating-transform-origin":`${this.floating.middlewareData.transformOrigin?.x} ${this.floating.middlewareData.transformOrigin?.y}`,"--bits-floating-available-width":`${get$3(this.#availableWidth)}px`,"--bits-floating-available-height":`${get$3(
+this.#availableHeight)}px`,"--bits-floating-anchor-width":`${get$3(this.#anchorWidth)}px`,"--bits-floating-anchor-height":`${get$3(this.#anchorHeight)}px`,...this.floating.middlewareData.hide?.referenceHidden&&{visibility:"hidden","pointer-events":"none"},...get$3(this.#transformedStyle)},dir:this.opts.dir.current,...this.wrapperAttachment}));get wrapperProps(){return get$3(this.#wrapperProps)}set wrapperProps(value){set$1(this.#wrapperProps,value)}#props=user_derived(()=>({"data-side":this.placedSide,
+"data-align":this.placedAlign,style:styleToString$1({...get$3(this.#transformedStyle)}),...this.contentAttachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}#arrowStyle=user_derived(()=>({position:"absolute",left:this.arrowX?`${this.arrowX}px`:void 0,top:this.arrowY?`${this.arrowY}px`:void 0,[this.arrowBaseSide]:0,"transform-origin":{top:"",right:"0 0",bottom:"center 0",left:"100% 0"}[this.placedSide],transform:{top:"translateY(100%)",right:"translateY(50%\
+) rotate(90deg) translateX(-50%)",bottom:"rotate(180deg)",left:"translateY(50%) rotate(-90deg) translateX(50%)"}[this.placedSide],visibility:this.cannotCenterArrow?"hidden":void 0}));get arrowStyle(){return get$3(this.#arrowStyle)}set arrowStyle(value){set$1(this.#arrowStyle,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.#updatePositionStrategy=opts.updatePositionStrategy,opts.customAnchor&&(this.root.customAnchorNode.current=opts.customAnchor.current),watch$1(()=>opts.customAnchor.
+current,customAnchor=>{this.root.customAnchorNode.current=customAnchor}),this.floating=useFloating({strategy:()=>this.opts.strategy.current,placement:()=>get$3(this.#desiredPlacement),middleware:()=>this.middleware,reference:this.root.anchorNode,whileElementsMounted:(...args)=>autoUpdate(...args,{animationFrame:this.#updatePositionStrategy?.current==="always"}),open:()=>this.opts.enabled.current,sideOffset:()=>this.opts.sideOffset.current,alignOffset:()=>this.opts.alignOffset.current}),user_effect(
+()=>{this.floating.isPositioned&&this.opts.onPlaced?.current()}),watch$1(()=>this.contentRef.current,contentNode=>{if(!contentNode||!this.opts.enabled.current)return;const win=getWindow$1(contentNode),rafId=win.requestAnimationFrame(()=>{if(this.contentRef.current!==contentNode||!this.opts.enabled.current)return;const zIndex=win.getComputedStyle(contentNode).zIndex;zIndex!==this.contentZIndex&&(this.contentZIndex=zIndex)});return()=>{win.cancelAnimationFrame(rafId)}}),user_effect(()=>{this.floating.
+floating.current=this.wrapperRef.current})}}class FloatingArrowState{static create(opts){return new FloatingArrowState(opts,FloatingContentContext.get())}opts;content;constructor(opts,content2){this.opts=opts,this.content=content2}#props=user_derived(()=>({id:this.opts.id.current,style:this.content.arrowStyle,"data-side":this.content.placedSide,...this.content.arrowAttachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class FloatingAnchorState{static create(opts,tooltip=!1){
+return tooltip?new FloatingAnchorState(opts,FloatingTooltipRootContext.get()):new FloatingAnchorState(opts,FloatingRootContext.get())}opts;root;constructor(opts,root2){this.opts=opts,this.root=root2,opts.virtualEl&&opts.virtualEl.current?root2.triggerNode=boxFrom$1(opts.virtualEl.current):root2.triggerNode=opts.ref}}function transformOrigin(options){return{name:"transformOrigin",options,fn(data){const{placement,rects,middlewareData}=data,isArrowHidden=middlewareData.arrow?.centerOffset!==0,arrowWidth=isArrowHidden?
+0:options.arrowWidth,arrowHeight=isArrowHidden?0:options.arrowHeight,[placedSide,placedAlign]=getSideAndAlignFromPlacement(placement),noArrowAlign={start:"0%",center:"50%",end:"100%"}[placedAlign],arrowXCenter=(middlewareData.arrow?.x??0)+arrowWidth/2,arrowYCenter=(middlewareData.arrow?.y??0)+arrowHeight/2;let x="",y="";return placedSide==="bottom"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${-arrowHeight}px`):placedSide==="top"?(x=isArrowHidden?noArrowAlign:`${arrowXCenter}px`,y=`${rects.
+floating.height+arrowHeight}px`):placedSide==="right"?(x=`${-arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`):placedSide==="left"&&(x=`${rects.floating.width+arrowHeight}px`,y=isArrowHidden?noArrowAlign:`${arrowYCenter}px`),{data:{x,y}}}}}function getSideAndAlignFromPlacement(placement){const[side,align="center"]=placement.split("-");return[side,align]}function getSideFromPlacement(placement){return getSideAndAlignFromPlacement(placement)[0]}function getAlignFromPlacement(placement){
+return getSideAndAlignFromPlacement(placement)[1]}function Floating_layer($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"tooltip",3,!1);FloatingRootState.create(tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}class DataTypeahead{#opts;#candidateValues=user_derived(()=>this.#opts.candidateValues());#search;constructor(opts){this.#opts=opts,this.#search=boxAutoReset("",{afterMs:1e3,getWindow:this.#opts.
+getWindow}),this.handleTypeaheadSearch=this.handleTypeaheadSearch.bind(this),this.resetTypeahead=this.resetTypeahead.bind(this)}handleTypeaheadSearch(key2){if(!this.#opts.enabled()||!get$3(this.#candidateValues).length)return;this.#search.current=this.#search.current+key2;const currentItem=this.#opts.getCurrentItem(),currentMatch=get$3(this.#candidateValues).find(item=>item===currentItem)??"",values=get$3(this.#candidateValues).map(item=>item??""),nextMatch=getNextMatch(values,this.#search.current,
+currentMatch),newItem=get$3(this.#candidateValues).find(item=>item===nextMatch);return newItem&&this.#opts.onMatch(newItem),newItem}resetTypeahead(){this.#search.current=""}}const FIRST_KEYS=[ARROW_DOWN,PAGE_UP,HOME],LAST_KEYS=[ARROW_UP,PAGE_DOWN,END],FIRST_LAST_KEYS=[...FIRST_KEYS,...LAST_KEYS],selectAttrs=createBitsAttrs({component:"select",parts:["trigger","content","item","viewport","scroll-up-button","scroll-down-button","group","group-label","separator","arrow","input","content-wrapper","i\
+tem-text","value"]}),SelectRootContext=new Context$1("Select.Root | Combobox.Root"),SelectContentContext=new Context$1("Select.Content | Combobox.Content");class SelectBaseRootState{opts;#touchedInput=state$1(!1);get touchedInput(){return get$3(this.#touchedInput)}set touchedInput(value){set$1(this.#touchedInput,value,!0)}#inputNode=state$1(null);get inputNode(){return get$3(this.#inputNode)}set inputNode(value){set$1(this.#inputNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3(
+this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#viewportNode=state$1(null);get viewportNode(){return get$3(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#valueNode=state$1(null);get valueNode(){return get$3(this.#valueNode)}set valueNode(value){set$1(this.#valueNode,value,!0)}#valueId=state$1(
+"");get valueId(){return get$3(this.#valueId)}set valueId(value){set$1(this.#valueId,value,!0)}#highlightedNode=state$1(null);get highlightedNode(){return get$3(this.#highlightedNode)}set highlightedNode(value){set$1(this.#highlightedNode,value,!0)}#highlightedValue=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-value"):null);get highlightedValue(){return get$3(this.#highlightedValue)}set highlightedValue(value){set$1(this.#highlightedValue,value)}#highlightedId=user_derived(
+()=>{if(this.highlightedNode)return this.highlightedNode.id});get highlightedId(){return get$3(this.#highlightedId)}set highlightedId(value){set$1(this.#highlightedId,value)}#highlightedLabel=user_derived(()=>this.highlightedNode?this.highlightedNode.getAttribute("data-label"):null);get highlightedLabel(){return get$3(this.#highlightedLabel)}set highlightedLabel(value){set$1(this.#highlightedLabel,value)}#contentIsPositioned=state$1(!1);get contentIsPositioned(){return get$3(this.#contentIsPositioned)}set contentIsPositioned(value){
+set$1(this.#contentIsPositioned,value,!0)}isUsingKeyboard=!1;isCombobox=!1;domContext=new DOMContext(()=>null);constructor(opts){this.opts=opts,this.isCombobox=opts.isCombobox,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),user_pre_effect(()=>{this.opts.open.current||this.setHighlightedNode(null)})}setHighlightedNode(node2,initial=!1){this.highlightedNode=node2,node2&&
+(this.isUsingKeyboard||initial)&&this.scrollHighlightedNodeIntoView(node2)}scrollHighlightedNodeIntoView(node2){!this.viewportNode||!this.contentIsPositioned||node2.scrollIntoView({block:this.opts.scrollAlignment.current})}getCandidateNodes(){const node2=this.contentNode;return node2?Array.from(node2.querySelectorAll(`[${this.getBitsAttr("item")}]:not([data-disabled])`)):[]}setHighlightedToFirstCandidate(initial=!1){this.setHighlightedNode(null);let nodes2=this.getCandidateNodes();if(nodes2.length){
+if(this.viewportNode){const viewportRect=this.viewportNode.getBoundingClientRect();nodes2=nodes2.filter(node2=>{if(!this.viewportNode)return!1;const nodeRect=node2.getBoundingClientRect();return nodeRect.right<=viewportRect.right&&nodeRect.left>=viewportRect.left&&nodeRect.bottom<=viewportRect.bottom&&nodeRect.top>=viewportRect.top})}this.setHighlightedNode(nodes2[0],initial)}}getNodeByValue(value){return this.getCandidateNodes().find(node2=>node2.dataset.value===value)??null}getLabelForValue(value){
+if(value==="")return"";const fromItems=this.opts.items.current.find(item=>item.value===value)?.label;if(fromItems!==void 0)return fromItems;const node2=this.getNodeByValue(value);if(node2){const dataLabel=node2.getAttribute("data-label");return dataLabel!==null&&dataLabel!==""?dataLabel:node2.textContent?.trim()??value}return value}setOpen(open2){this.opts.open.current=open2}toggleOpen(){this.opts.open.current=!this.opts.open.current}handleOpen(){this.setOpen(!0)}handleClose(){this.setHighlightedNode(
+null),this.setOpen(!1)}toggleMenu(){this.toggleOpen()}getBitsAttr=part=>selectAttrs.getAttr(part,this.isCombobox?"combobox":void 0)}class SelectSingleRootState extends SelectBaseRootState{opts;isMulti=!1;#hasValue=user_derived(()=>this.opts.value.current!=="");get hasValue(){return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}#currentLabel=user_derived(()=>this.opts.items.current.length?this.opts.items.current.find(item=>item.value===this.opts.value.current)?.label??"":"");get currentLabel(){
+return get$3(this.#currentLabel)}set currentLabel(value){set$1(this.#currentLabel,value)}#candidateLabels=user_derived(()=>this.opts.items.current.length?this.opts.items.current.filter(item=>!item.disabled).map(item=>item.label):[]);get candidateLabels(){return get$3(this.#candidateLabels)}set candidateLabels(value){set$1(this.#candidateLabels,value)}#dataTypeaheadEnabled=user_derived(()=>!(this.isMulti||this.opts.items.current.length===0));get dataTypeaheadEnabled(){return get$3(this.#dataTypeaheadEnabled)}set dataTypeaheadEnabled(value){
+set$1(this.#dataTypeaheadEnabled,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current===itemValue}toggleItem(itemValue,itemLabel=itemValue){const newValue=this.includesItem(itemValue)?"":itemValue;this.opts.value.current=newValue,newValue!==""&&(this.
+opts.inputValue.current=itemLabel)}setInitialHighlightedNode(){afterTick(()=>{if(!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current!==""){const node2=this.getNodeByValue(this.opts.value.current);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(!0)}})}}class SelectMultipleRootState extends SelectBaseRootState{opts;isMulti=!0;#hasValue=user_derived(()=>this.opts.value.current.length>0);get hasValue(){
+return get$3(this.#hasValue)}set hasValue(value){set$1(this.#hasValue,value)}constructor(opts){super(opts),this.opts=opts,user_effect(()=>{!this.opts.open.current&&this.highlightedNode&&this.setHighlightedNode(null)}),watch$1(()=>this.opts.open.current,()=>{this.opts.open.current&&this.setInitialHighlightedNode()})}includesItem(itemValue){return this.opts.value.current.includes(itemValue)}toggleItem(itemValue,itemLabel=itemValue){this.includesItem(itemValue)?this.opts.value.current=this.opts.value.
+current.filter(v=>v!==itemValue):this.opts.value.current=[...this.opts.value.current,itemValue],this.opts.inputValue.current=itemLabel}setInitialHighlightedNode(){afterTick(()=>{if(this.domContext&&!(this.highlightedNode&&this.domContext.getDocument().contains(this.highlightedNode))){if(this.opts.value.current.length&&this.opts.value.current[0]!==""){const node2=this.getNodeByValue(this.opts.value.current[0]);if(node2){this.setHighlightedNode(node2,!0);return}}this.setHighlightedToFirstCandidate(
+!0)}})}}class SelectRootState{static create(props){const{type:type2,...rest}=props,rootState=type2==="single"?new SelectSingleRootState(rest):new SelectMultipleRootState(rest);return SelectRootContext.set(rootState)}}class SelectTriggerState{static create(opts){return new SelectTriggerState(opts,SelectRootContext.get())}opts;root;attachment;#domTypeahead;#dataTypeahead;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.triggerNode=v),this.root.
+domContext=new DOMContext(opts.ref),this.#domTypeahead=new DOMTypeahead({getCurrentItem:()=>this.root.highlightedNode,onMatch:node2=>{this.root.setHighlightedNode(node2)},getActiveElement:()=>this.root.domContext.getActiveElement(),getWindow:()=>this.root.domContext.getWindow()}),this.#dataTypeahead=new DataTypeahead({getCurrentItem:()=>this.root.isMulti?"":this.root.currentLabel,onMatch:label=>{if(this.root.isMulti||!this.root.opts.items.current)return;const matchedItem=this.root.opts.items.current.
+find(item=>item.label===label);matchedItem&&(this.root.opts.value.current=matchedItem.value)},enabled:()=>!this.root.isMulti&&this.root.dataTypeaheadEnabled,candidateValues:()=>this.root.isMulti?[]:this.root.candidateLabels,getWindow:()=>this.root.domContext.getWindow()}),this.onkeydown=this.onkeydown.bind(this),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onclick=this.onclick.bind(this)}#handleOpen(){this.root.opts.open.current=!0,this.#dataTypeahead.
+resetTypeahead(),this.#domTypeahead.resetTypeahead()}#handlePointerOpen(_){this.#handleOpen()}#handleKeyboardSelection(){const isCurrentSelectedValue=this.root.highlightedValue===this.root.opts.value.current;return!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti?(this.root.handleClose(),!0):(this.root.highlightedValue!==null&&this.root.toggleItem(this.root.highlightedValue,this.root.highlightedLabel??void 0),!this.root.isMulti&&!isCurrentSelectedValue?(this.root.
+handleClose(),!0):!1)}onkeydown(e){if(this.root.isUsingKeyboard=!0,(e.key===ARROW_UP||e.key===ARROW_DOWN)&&e.preventDefault(),!this.root.opts.open.current){if(e.key===ENTER||e.key===SPACE||e.key===ARROW_DOWN||e.key===ARROW_UP)e.preventDefault(),this.root.handleOpen();else if(!this.root.isMulti&&this.root.dataTypeaheadEnabled){this.#dataTypeahead.handleTypeaheadSearch(e.key);return}if(this.root.hasValue)return;const candidateNodes2=this.root.getCandidateNodes();if(!candidateNodes2.length)return;if(e.
+key===ARROW_DOWN){const firstCandidate=candidateNodes2[0];this.root.setHighlightedNode(firstCandidate)}else if(e.key===ARROW_UP){const lastCandidate=candidateNodes2[candidateNodes2.length-1];this.root.setHighlightedNode(lastCandidate)}return}if(e.key===TAB){this.root.handleClose();return}if((e.key===ENTER||e.key===SPACE&&this.#domTypeahead.search==="")&&!e.isComposing&&(e.preventDefault(),this.#handleKeyboardSelection()))return;if(e.key===ARROW_UP&&e.altKey&&this.root.handleClose(),FIRST_LAST_KEYS.
+includes(e.key)){e.preventDefault();const candidateNodes2=this.root.getCandidateNodes(),currHighlightedNode=this.root.highlightedNode,currIndex=currHighlightedNode?candidateNodes2.indexOf(currHighlightedNode):-1,loop2=this.root.opts.loop.current;let nextItem;if(e.key===ARROW_DOWN?nextItem=next(candidateNodes2,currIndex,loop2):e.key===ARROW_UP?nextItem=prev(candidateNodes2,currIndex,loop2):e.key===PAGE_DOWN?nextItem=forward(candidateNodes2,currIndex,10,loop2):e.key===PAGE_UP?nextItem=backward(candidateNodes2,
+currIndex,10,loop2):e.key===HOME?nextItem=candidateNodes2[0]:e.key===END&&(nextItem=candidateNodes2[candidateNodes2.length-1]),!nextItem)return;this.root.setHighlightedNode(nextItem);return}const isModifierKey=e.ctrlKey||e.altKey||e.metaKey,isCharacterKey=e.key.length===1,isSpaceKey=e.key===SPACE,candidateNodes=this.root.getCandidateNodes();if(e.key!==TAB){if(!isModifierKey&&(isCharacterKey||isSpaceKey)){!this.#domTypeahead.handleTypeaheadSearch(e.key,candidateNodes)&&isSpaceKey&&(e.preventDefault(),
+this.#handleKeyboardSelection());return}this.root.highlightedNode||this.root.setHighlightedToFirstCandidate()}}onclick(e){e.currentTarget.focus()}onpointerdown(e){if(this.root.opts.disabled.current)return;if(e.pointerType==="touch")return e.preventDefault();const target2=e.target;target2?.hasPointerCapture(e.pointerId)&&target2?.releasePointerCapture(e.pointerId),e.button===0&&e.ctrlKey===!1&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose())}onpointerup(e){this.
+root.opts.disabled.current||(e.preventDefault(),e.pointerType==="touch"&&(this.root.opts.open.current===!1?this.#handlePointerOpen(e):this.root.handleClose()))}#props=user_derived(()=>({id:this.opts.id.current,disabled:this.root.opts.disabled.current?!0:void 0,"aria-haspopup":"listbox","aria-expanded":boolToStr(this.root.opts.open.current),"aria-activedescendant":this.root.highlightedId,"data-state":getDataOpenClosed(this.root.opts.open.current),"data-disabled":boolToEmptyStrOrUndef(this.root.opts.
+disabled.current),"data-placeholder":this.root.hasValue?void 0:"",[this.root.getBitsAttr("trigger")]:"",onpointerdown:this.onpointerdown,onkeydown:this.onkeydown,onclick:this.onclick,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectContentState{static create(opts){return SelectContentContext.set(new SelectContentState(opts,SelectRootContext.get()))}opts;root;attachment;#isPositioned=state$1(!1);get isPositioned(){
+return get$3(this.#isPositioned)}set isPositioned(value){set$1(this.#isPositioned,value,!0)}domContext;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.contentNode=v),this.domContext=new DOMContext(this.opts.ref),this.root.domContext===null&&(this.root.domContext=this.domContext),onDestroyEffect(()=>{this.root.contentNode=null,this.root.contentIsPositioned=!1,this.isPositioned=!1}),watch$1(()=>this.root.opts.open.current,()=>{this.root.opts.open.
+current||(this.root.contentIsPositioned=!1,this.isPositioned=!1)}),watch$1([()=>this.isPositioned,()=>this.root.highlightedNode],()=>{!this.isPositioned||!this.root.highlightedNode||this.root.scrollHighlightedNodeIntoView(this.root.highlightedNode)}),this.onpointermove=this.onpointermove.bind(this)}onpointermove(_){this.root.isUsingKeyboard=!1}#styles=user_derived(()=>getFloatingContentCSSVars(this.root.isCombobox?"combobox":"select"));onInteractOutside=e=>{if(e.target===this.root.triggerNode||e.
+target===this.root.inputNode){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){
+set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,role:"listbox","aria-multiselectable":this.root.isMulti?"true":void 0,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[this.root.getBitsAttr("content")]:"",style:{display:"flex",flexDirection:"column",outline:"none",boxSizing:"border-box",pointerEvents:"auto",...get$3(this.#styles)},onpointermove:this.onpointermove,...this.attachment}));get props(){
+return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus,trapFocus:!1,loop:!1,onPlaced:()=>{this.root.opts.open.current&&(this.root.contentIsPositioned=!0,this.isPositioned=!0)}}}class SelectItemState{static create(opts){return new SelectItemState(opts,SelectRootContext.get())}opts;root;attachment;#isSelected=user_derived(
+()=>this.root.includesItem(this.opts.value.current));get isSelected(){return get$3(this.#isSelected)}set isSelected(value){set$1(this.#isSelected,value)}#isHighlighted=user_derived(()=>this.root.highlightedValue===this.opts.value.current);get isHighlighted(){return get$3(this.#isHighlighted)}set isHighlighted(value){set$1(this.#isHighlighted,value)}prevHighlighted=new Previous(()=>this.isHighlighted);#mounted=state$1(!1);get mounted(){return get$3(this.#mounted)}set mounted(value){set$1(this.#mounted,
+value,!0)}constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref),watch$1([()=>this.isHighlighted,()=>this.prevHighlighted.current],()=>{this.isHighlighted?this.opts.onHighlight.current():this.prevHighlighted.current&&this.opts.onUnhighlight.current()}),watch$1(()=>this.mounted,()=>{this.mounted&&this.root.setInitialHighlightedNode()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointerup=this.onpointerup.bind(this),this.onpointermove=this.onpointermove.
+bind(this)}handleSelect(){if(this.opts.disabled.current)return;const isCurrentSelectedValue=this.opts.value.current===this.root.opts.value.current;if(!this.root.opts.allowDeselect.current&&isCurrentSelectedValue&&!this.root.isMulti){this.root.handleClose();return}this.root.toggleItem(this.opts.value.current,this.opts.label.current),!this.root.isMulti&&!isCurrentSelectedValue&&this.root.handleClose()}#snippetProps=user_derived(()=>({selected:this.isSelected,highlighted:this.isHighlighted}));get snippetProps(){
+return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}onpointerdown(e){e.preventDefault()}onpointerup(e){if(!(e.defaultPrevented||!this.opts.ref.current)){if(e.pointerType==="touch"&&!isIOS){on(this.opts.ref.current,"click",()=>{this.handleSelect(),this.root.setHighlightedNode(this.opts.ref.current)},{once:!0});return}e.preventDefault(),this.handleSelect(),e.pointerType==="touch"&&this.root.setHighlightedNode(this.opts.ref.current)}}onpointermove(e){e.pointerType!==
+"touch"&&this.root.highlightedNode!==this.opts.ref.current&&this.root.setHighlightedNode(this.opts.ref.current)}#props=user_derived(()=>({id:this.opts.id.current,role:"option","aria-selected":this.root.includesItem(this.opts.value.current)?"true":void 0,"data-value":this.opts.value.current,"data-disabled":boolToEmptyStrOrUndef(this.opts.disabled.current),"data-highlighted":this.root.highlightedValue===this.opts.value.current&&!this.opts.disabled.current?"":void 0,"data-selected":this.root.includesItem(
+this.opts.value.current)?"":void 0,"data-label":this.opts.label.current,[this.root.getBitsAttr("item")]:"",onpointermove:this.onpointermove,onpointerdown:this.onpointerdown,onpointerup:this.onpointerup,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectHiddenInputState{static create(opts){return new SelectHiddenInputState(opts,SelectRootContext.get())}opts;root;#shouldRender=user_derived(()=>this.root.opts.name.current!=="");get shouldRender(){
+return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.onfocus=this.onfocus.bind(this)}onfocus(e){e.preventDefault(),this.root.isCombobox?this.root.inputNode?.focus():this.root.triggerNode?.focus()}#props=user_derived(()=>({disabled:boolToTrueOrUndef(this.root.opts.disabled.current),required:boolToTrueOrUndef(this.root.opts.required.current),name:this.root.opts.name.current,value:this.opts.value.current,
+onfocus:this.onfocus}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectViewportState{static create(opts){return new SelectViewportState(opts,SelectContentContext.get())}opts;content;root;attachment;#prevScrollTop=state$1(0);get prevScrollTop(){return get$3(this.#prevScrollTop)}set prevScrollTop(value){set$1(this.#prevScrollTop,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.
+ref,v=>{this.root.viewportNode=v})}#props=user_derived(()=>({id:this.opts.id.current,role:"presentation",[this.root.getBitsAttr("viewport")]:"",style:{position:"relative",flex:1,overflow:"auto"},...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SelectScrollButtonImplState{opts;content;root;attachment;autoScrollTimer=null;userScrollTimer=-1;isUserScrolling=!1;onAutoScroll=noop$1;#mounted=state$1(!1);get mounted(){return get$3(this.#mounted)}set mounted(value){
+set$1(this.#mounted,value,!0)}constructor(opts,content2){this.opts=opts,this.content=content2,this.root=content2.root,this.attachment=attachRef(opts.ref),watch$1([()=>this.mounted],()=>{if(!this.mounted){this.isUserScrolling=!1;return}this.isUserScrolling}),user_effect(()=>{this.mounted||this.clearAutoScrollInterval()}),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}handleUserScroll(){this.content.
+domContext.clearTimeout(this.userScrollTimer),this.isUserScrolling=!0,this.userScrollTimer=this.content.domContext.setTimeout(()=>{this.isUserScrolling=!1},200)}clearAutoScrollInterval(){this.autoScrollTimer!==null&&(this.content.domContext.clearTimeout(this.autoScrollTimer),this.autoScrollTimer=null)}onpointerdown(_){if(this.autoScrollTimer!==null)return;const autoScroll=tick2=>{this.onAutoScroll(),this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(tick2+1),this.opts.delay.current(
+tick2))};this.autoScrollTimer=this.content.domContext.setTimeout(()=>autoScroll(1),this.opts.delay.current(0))}onpointermove(e){this.onpointerdown(e)}onpointerleave(_){this.clearAutoScrollInterval()}#props=user_derived(()=>({id:this.opts.id.current,"aria-hidden":boolToStrTrueOrUndef(!0),style:{flexShrink:0},onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,
+value)}}class SelectScrollDownButtonState{static create(opts){return new SelectScrollDownButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollDown=state$1(!1);get canScrollDown(){return get$3(this.#canScrollDown)}set canScrollDown(value){set$1(this.#canScrollDown,value,!0)}scrollIntoViewTimer=null;constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.
+root,this.scrollButtonState.onAutoScroll=this.handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())}),watch$1([()=>this.root.opts.inputValue.current,()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{!this.root.viewportNode||!this.content.isPositioned||this.handleScroll(!0)}),watch$1(()=>this.scrollButtonState.
+mounted,()=>{this.scrollButtonState.mounted&&(this.scrollIntoViewTimer&&clearTimeout(this.scrollIntoViewTimer),this.scrollIntoViewTimer=afterSleep(5,()=>{const activeItem=this.root.highlightedNode;activeItem&&this.root.scrollHighlightedNodeIntoView(activeItem)}))})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const maxScroll=this.root.viewportNode.scrollHeight-this.root.viewportNode.clientHeight,paddingTop=Number.parseInt(getComputedStyle(
+this.root.viewportNode).paddingTop,10);this.canScrollDown=Math.ceil(this.root.viewportNode.scrollTop)<maxScroll-paddingTop};handleAutoScroll=()=>{const viewport=this.root.viewportNode,selectedItem=this.root.highlightedNode;!viewport||!selectedItem||(viewport.scrollTop=viewport.scrollTop+selectedItem.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-down-button")]:""}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}
+class SelectScrollUpButtonState{static create(opts){return new SelectScrollUpButtonState(new SelectScrollButtonImplState(opts,SelectContentContext.get()))}scrollButtonState;content;root;#canScrollUp=state$1(!1);get canScrollUp(){return get$3(this.#canScrollUp)}set canScrollUp(value){set$1(this.#canScrollUp,value,!0)}constructor(scrollButtonState){this.scrollButtonState=scrollButtonState,this.content=scrollButtonState.content,this.root=scrollButtonState.root,this.scrollButtonState.onAutoScroll=this.
+handleAutoScroll,watch$1([()=>this.root.viewportNode,()=>this.content.isPositioned],()=>{if(!(!this.root.viewportNode||!this.content.isPositioned))return this.handleScroll(!0),on(this.root.viewportNode,"scroll",()=>this.handleScroll())})}handleScroll=(manual=!1)=>{if(manual||this.scrollButtonState.handleUserScroll(),!this.root.viewportNode)return;const paddingTop=Number.parseInt(getComputedStyle(this.root.viewportNode).paddingTop,10);this.canScrollUp=this.root.viewportNode.scrollTop-paddingTop>.1};handleAutoScroll=()=>{
+!this.root.viewportNode||!this.root.highlightedNode||(this.root.viewportNode.scrollTop=this.root.viewportNode.scrollTop-this.root.highlightedNode.offsetHeight)};#props=user_derived(()=>({...this.scrollButtonState.props,[this.root.getBitsAttr("scroll-up-button")]:""}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}function Select_hidden_input($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15);const hiddenInputState=SelectHiddenInputState.create(
+{value:boxWith$1(()=>value())});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>hiddenInputState.props,{get autocomplete(){return $$props.autocomplete},get value(){return value()},set value($$value){value($$value)}}))};if_block(node2,$$render=>{hiddenInputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}function Floating_layer_anchor($$anchor,$$props){push$1($$props,!0);let tooltip=prop($$props,"to\
+oltip",3,!1);FloatingAnchorState.create({id:boxWith$1(()=>$$props.id),virtualEl:boxWith$1(()=>$$props.virtualEl),ref:$$props.ref},tooltip());var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}var root_4$L=from_svg('<svg viewBox="0 0 30 10" preserveAspectRatio="none" data-arrow=""><polygon points="0,0 30,0 15,10" fill="currentColor"></polygon></svg>'),root_2$1s=from_html("<span><!></span>");function Arrow($$anchor,$$props){
+push$1($$props,!0);let id2=prop($$props,"id",19,useId),width=prop($$props,"width",3,10),height=prop($$props,"height",3,5),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","width","height"]);const mergedProps=user_derived(()=>mergeProps(restProps,{id:id2()}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),
+append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var span=root_2$1s();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child(span);{var consequent_1=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var svg2=root_4$L();template_effect(()=>{set_attribute(svg2,"width",width()),set_attribute(svg2,"height",height())}),append($$anchor3,svg2)};if_block(node_2,$$render=>{
+$$props.children?$$render(consequent_1):$$render(alternate,-1)})}reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}function Floating_layer_arrow($$anchor,$$props){push$1($$props,!0);let id2=prop($$props,"id",19,useId),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref"]);const arrowState=FloatingArrowState.create({id:boxWith$1(()=>id2()),
+ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,arrowState.props));Arrow($$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Floating_layer_content($$anchor,$$props){push$1($$props,!0);let side=prop($$props,"side",3,"bottom"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),alignOffset=prop($$props,"alignOffset",3,0),arrowPadding=prop($$props,"arrowPadding",3,0),avoidCollisions=prop($$props,"avoidCollisions",3,!0),
+collisionBoundary=prop($$props,"collisionBoundary",19,()=>[]),collisionPadding=prop($$props,"collisionPadding",3,0),hideWhenDetached=prop($$props,"hideWhenDetached",3,!1),onPlaced=prop($$props,"onPlaced",3,()=>{}),sticky=prop($$props,"sticky",3,"partial"),updatePositionStrategy=prop($$props,"updatePositionStrategy",3,"optimized"),strategy=prop($$props,"strategy",3,"fixed"),dir=prop($$props,"dir",3,"ltr"),style2=prop($$props,"style",19,()=>({})),wrapperId=prop($$props,"wrapperId",19,useId),customAnchor=prop(
+$$props,"customAnchor",3,null),tooltip=prop($$props,"tooltip",3,!1);const contentState=FloatingContentState.create({side:boxWith$1(()=>side()),sideOffset:boxWith$1(()=>sideOffset()),align:boxWith$1(()=>align()),alignOffset:boxWith$1(()=>alignOffset()),id:boxWith$1(()=>$$props.id),arrowPadding:boxWith$1(()=>arrowPadding()),avoidCollisions:boxWith$1(()=>avoidCollisions()),collisionBoundary:boxWith$1(()=>collisionBoundary()),collisionPadding:boxWith$1(()=>collisionPadding()),hideWhenDetached:boxWith$1(
+()=>hideWhenDetached()),onPlaced:boxWith$1(()=>onPlaced()),sticky:boxWith$1(()=>sticky()),updatePositionStrategy:boxWith$1(()=>updatePositionStrategy()),strategy:boxWith$1(()=>strategy()),dir:boxWith$1(()=>dir()),style:boxWith$1(()=>style2()),enabled:boxWith$1(()=>$$props.enabled),wrapperId:boxWith$1(()=>wrapperId()),customAnchor:boxWith$1(()=>customAnchor())},tooltip()),mergedProps=user_derived(()=>mergeProps(contentState.wrapperProps,{style:{pointerEvents:"auto"}}));var fragment=comment$2(),node2=first_child(
+fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:contentState.props,wrapperProps:get$3(mergedProps)})),append($$anchor,fragment),pop()}function Floating_layer_content_static($$anchor,$$props){push$1($$props,!0),onMount$1(()=>{$$props.onPlaced?.()});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.content??noop$3,()=>({props:{},wrapperProps:{}})),append($$anchor,fragment),pop()}function Popper_content($$anchor,$$props){let isStatic=prop($$props,"isStat\
+ic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","content","isStatic","onPlaced"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Floating_layer_content_static($$anchor2,{get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}})},alternate=$$anchor2=>{Floating_layer_content($$anchor2,spread_props({get content(){return $$props.content},get onPlaced(){return $$props.onPlaced}},()=>restProps))};if_block(node2,$$render=>{
+isStatic()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment)}var root_1$1a=from_html("<!> <!>",1);function Popper_layer_inner($$anchor,$$props){push$1($$props,!0);let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),tooltip=prop($$props,"tooltip",3,!1),contentPointerEvents=prop(
+$$props,"contentPointerEvents",3,"auto"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAut\
+oFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled","ref","tooltip","contentPointerEvents"]);const resolvedPreventScroll=user_derived(()=>$$props.preventScroll??!0),effectiveStrategy=user_derived(()=>$$props.strategy??(get$3(resolvedPreventScroll)?"fixed":"absolute"));Popper_content($$anchor,{get isStatic(){return isStatic()},get id(){return $$props.id},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},
+get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return get$3(effectiveStrategy)},
+get dir(){return $$props.dir},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get enabled(){return $$props.enabled},get tooltip(){return tooltip()},content:($$anchor2,$$arg0)=>{let floatingProps=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;var fragment_1=root_1$1a(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return get$3(
+resolvedPreventScroll)}})},consequent_1=$$anchor3=>{Scroll_lock($$anchor3,{get preventScroll(){return get$3(resolvedPreventScroll)}})};if_block(node2,$$render=>{$$props.forceMount&&$$props.enabled?$$render(consequent):$$props.forceMount||$$render(consequent_1,1)})}var node_1=sibling(node2,2);Focus_scope(node_1,{get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get loop(){return $$props.loop},get enabled(){return $$props.enabled},get trapFocus(){
+return trapFocus()},get forceMount(){return $$props.forceMount},get ref(){return $$props.ref},focusScope:($$anchor3,$$arg02)=>{let focusScopeProps=()=>$$arg02?.().props;Escape_layer($$anchor3,{get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,{get id(){return $$props.id},get onInteractOutside(){return $$props.
+onInteractOutside},get onFocusOutside(){return $$props.onFocusOutside},get interactOutsideBehavior(){return interactOutsideBehavior()},get isValidEvent(){return isValidEvent2()},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor5,$$arg03)=>{let dismissibleProps=()=>$$arg03?.().props;Text_selection_layer($$anchor5,{get id(){return $$props.id},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get onPointerDown(){return $$props.onPointerDown},
+get onPointerUp(){return $$props.onPointerUp},get enabled(){return $$props.enabled},get ref(){return $$props.ref},children:($$anchor6,$$slotProps2)=>{var fragment_7=comment$2(),node_2=first_child(fragment_7);{let $0=user_derived(()=>({props:mergeProps(restProps,floatingProps(),dismissibleProps(),focusScopeProps(),{style:{pointerEvents:contentPointerEvents()}}),wrapperProps:wrapperProps()}));snippet(node_2,()=>$$props.popper??noop$3,()=>get$3($0))}append($$anchor6,fragment_7)},$$slots:{default:!0}})},
+$$slots:{default:!0}})},$$slots:{default:!0}})},$$slots:{focusScope:!0}}),append($$anchor2,fragment_1)},$$slots:{content:!0}}),pop()}function Popper_layer($$anchor,$$props){let interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","poppe\
+r","open","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary","collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","i\
+sStatic","ref","shouldRender"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Popper_layer_inner($$anchor2,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.
+onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){
+return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},get isStatic(){return isStatic()},get enabled(){return $$props.open},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},
+get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside},forceMount:!1,get ref(){return $$props.ref}},()=>restProps))};if_block(node2,$$render=>{$$props.shouldRender&&$$render(consequent)})}append($$anchor,fragment)}function Popper_layer_force_mount($$anchor,$$props){let interactOutsideBehavior=prop(
+$$props,"interactOutsideBehavior",3,"close"),trapFocus=prop($$props,"trapFocus",3,!0),isValidEvent2=prop($$props,"isValidEvent",3,()=>!1),customAnchor=prop($$props,"customAnchor",3,null),isStatic=prop($$props,"isStatic",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","popper","onEscapeKeydown","escapeKeydownBehavior","preventOverflowTextSelection","id","onPointerDown","onPointerUp","side","sideOffset","align","alignOffset","arrowPadding","avoidCollisions","collisionBoundary",
+"collisionPadding","sticky","hideWhenDetached","updatePositionStrategy","strategy","dir","preventScroll","wrapperId","style","onPlaced","onInteractOutside","onCloseAutoFocus","onOpenAutoFocus","onFocusOutside","interactOutsideBehavior","loop","trapFocus","isValidEvent","customAnchor","isStatic","enabled"]);Popper_layer_inner($$anchor,spread_props({get popper(){return $$props.popper},get onEscapeKeydown(){return $$props.onEscapeKeydown},get escapeKeydownBehavior(){return $$props.escapeKeydownBehavior},
+get preventOverflowTextSelection(){return $$props.preventOverflowTextSelection},get id(){return $$props.id},get onPointerDown(){return $$props.onPointerDown},get onPointerUp(){return $$props.onPointerUp},get side(){return $$props.side},get sideOffset(){return $$props.sideOffset},get align(){return $$props.align},get alignOffset(){return $$props.alignOffset},get arrowPadding(){return $$props.arrowPadding},get avoidCollisions(){return $$props.avoidCollisions},get collisionBoundary(){return $$props.
+collisionBoundary},get collisionPadding(){return $$props.collisionPadding},get sticky(){return $$props.sticky},get hideWhenDetached(){return $$props.hideWhenDetached},get updatePositionStrategy(){return $$props.updatePositionStrategy},get strategy(){return $$props.strategy},get dir(){return $$props.dir},get preventScroll(){return $$props.preventScroll},get wrapperId(){return $$props.wrapperId},get style(){return $$props.style},get onPlaced(){return $$props.onPlaced},get customAnchor(){return customAnchor()},
+get isStatic(){return isStatic()},get enabled(){return $$props.enabled},get onInteractOutside(){return $$props.onInteractOutside},get onCloseAutoFocus(){return $$props.onCloseAutoFocus},get onOpenAutoFocus(){return $$props.onOpenAutoFocus},get interactOutsideBehavior(){return interactOutsideBehavior()},get loop(){return $$props.loop},get trapFocus(){return trapFocus()},get isValidEvent(){return isValidEvent2()},get onFocusOutside(){return $$props.onFocusOutside}},()=>restProps,{forceMount:!0}))}
+var root_4$K=from_html("<div><div><!></div></div>"),root_8$y=from_html("<div><div><!></div></div>");function Select_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),side=prop($$props,"side",3,"bottom"),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),preventScroll=prop($$props,"prevent\
+Scroll",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount","side","onInteractOutside","onEscapeKeydown","children","child","preventScroll","style"]);const contentState=SelectContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(
+fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},get enabled(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!0,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(
+()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$K();attribute_effect(div,()=>({...wrapperProps()}));
+var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get side(){return side()},
+get open(){return contentState.root.opts.open.current},get id(){return id2()},get preventScroll(){return preventScroll()},forceMount:!1,get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:contentState.props.style},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),
+node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$y();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,
+div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}function Mounted($$anchor,$$props){push$1($$props,!0);let mounted=prop($$props,"mounted",15,!1),onMountedChange=prop($$props,"onMountedChange",3,noop$1);onMountEffect(()=>(mounted(!0),onMountedChange()(!0),()=>{mounted(
+!1),onMountedChange()(!1)})),pop()}var root_2$1r=from_html("<div><!></div>"),root$1X=from_html("<!> <!>",1);function Select_item$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),label=prop($$props,"label",19,()=>$$props.value),disabled=prop($$props,"disabled",3,!1),onHighlight=prop($$props,"onHighlight",3,noop$1),onUnhighlight=prop($$props,"onUnhighlight",3,noop$1),restProps=rest_props($$props,["$$slots",
+"$$events","$$legacy","id","ref","value","label","disabled","children","child","onHighlight","onUnhighlight"]);const itemState=SelectItemState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),value:boxWith$1(()=>$$props.value),disabled:boxWith$1(()=>disabled()),label:boxWith$1(()=>label()),onHighlight:boxWith$1(()=>onHighlight()),onUnhighlight:boxWith$1(()=>onUnhighlight())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=root$1X(),node2=first_child(
+fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...itemState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1r();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3,()=>itemState.snippetProps),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{
+$$props.child?$$render(consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Mounted(node_3,{get mounted(){return itemState.mounted},set mounted($$value){itemState.mounted=$$value}}),append($$anchor,fragment),pop()}var root_2$1q=from_html("<div><!></div>");function Select_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id",
+"ref","children","child"]);const viewportState=SelectViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1q();attribute_effect(
+div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$13=from_html("<div><!></div>"),root_1$19=from_html("<!> <!>",1);function Select_scroll_down_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,
+null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollDownButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$19(),node_1=first_child(
+fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$13();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child(div);snippet(node_4,
+()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollDown&&$$render(consequent_1)})}append($$anchor,fragment),pop()}var root_3$12=from_html("<div><!></div>"),root_1$18=from_html("<!> <!>",1);function Select_scroll_up_button$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(
+uid2)),ref2=prop($$props,"ref",15,null),delay=prop($$props,"delay",3,()=>50),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","delay","child","children"]);const scrollButtonState=SelectScrollUpButtonState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),delay:boxWith$1(()=>delay())}),mergedProps=user_derived(()=>mergeProps(restProps,scrollButtonState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=root_1$18(),
+node_1=first_child(fragment_1);Mounted(node_1,{get mounted(){return scrollButtonState.scrollButtonState.mounted},set mounted($$value){scrollButtonState.scrollButtonState.mounted=$$value}});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.child,()=>({props:restProps})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$12();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_4=child(
+div);snippet(node_4,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node_2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{scrollButtonState.canScrollUp&&$$render(consequent_1)})}append($$anchor,fragment),pop()}function Menu_sub($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenC\
+hangeComplete",3,noop$1);MenuSubmenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()?.(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_2$1p=from_html("<div><!></div>");function Menu_item($$anchor,$$props){const uid2=props_id();push$1(
+$$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),onSelect=prop($$props,"onSelect",3,noop$1),closeOnSelect=prop($$props,"closeOnSelect",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","onSelect","closeOnSelect"]);const itemState=MenuItemState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),ref:boxWith$1(
+()=>ref2(),v=>ref2(v)),closeOnSelect:boxWith$1(()=>closeOnSelect())}),mergedProps=user_derived(()=>mergeProps(restProps,itemState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1p();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,
+()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_2$1o=from_html("<div><!></div>");function Menu_separator($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children"]);const separatorState=MenuSeparatorState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,separatorState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1o();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(
+node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_4$J=from_html("<div><div><!></div></div>"),root_8$x=from_html("<div><div><!></div></div>");function Menu_sub_content($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"loop",3,!0),onInteractOutside=prop(
+$$props,"onInteractOutside",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),interactOutsideBehavior=prop($$props,"interactOutsideBehavior",3,"defer-otherwise-close"),escapeKeydownBehavior=prop($$props,"escapeKeydownBehavior",3,"defer-otherwise-close"),onOpenAutoFocusProp=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocusProp=prop($$props,"onCloseAutoFocus",3,noop$1),onFocusOutside=prop($$props,"onFocusOutside",3,noop$1),side=prop(
+$$props,"side",3,"right"),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","children","child","loop","onInteractOutside","forceMount","onEscapeKeydown","interactOutsideBehavior","escapeKeydownBehavior","onOpenAutoFocus","onCloseAutoFocus","onFocusOutside","side","trapFocus","style"]);const subContentState=MenuContentState.create({id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),isSub:!0,onCloseAutoFocus:boxWith$1(
+()=>handleCloseAutoFocus)});function onkeydown(e){const isKeyDownInside=e.currentTarget.contains(e.target),isCloseKey=SUB_CLOSE_KEYS[subContentState.parentMenu.root.opts.dir.current].includes(e.key);isKeyDownInside&&isCloseKey&&(subContentState.parentMenu.onClose(),subContentState.parentMenu.triggerNode?.focus(),e.preventDefault())}const dataAttr=user_derived(()=>subContentState.parentMenu.root.getBitsAttr("sub-content")),mergedProps=user_derived(()=>mergeProps(restProps,subContentState.props,{side:side(),
+onkeydown,[get$3(dataAttr)]:""}));function handleOpenAutoFocus(e){onOpenAutoFocusProp()(e),!e.defaultPrevented&&(e.preventDefault(),subContentState.parentMenu.root.isUsingKeyboard&&subContentState.parentMenu.contentNode&&MenuOpenEvent.dispatch(subContentState.parentMenu.contentNode))}function handleCloseAutoFocus(e){onCloseAutoFocusProp()(e),!e.defaultPrevented&&e.preventDefault()}function handleInteractOutside(e){onInteractOutside()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleEscapeKeydown(e){
+onEscapeKeydown()(e),!e.defaultPrevented&&subContentState.parentMenu.onClose()}function handleOnFocusOutside(e){if(onFocusOutside()(e),e.defaultPrevented||!isHTMLElement$1(e.target)||e.target.id===subContentState.parentMenu.triggerNode?.id)return;if(subContentState.parentMenu.parentMenu?.contentNode?.contains(e.target)){subContentState.parentMenu.onClose(),e.preventDefault();return}const subContentSelector=`[${subContentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest(subContentSelector)){
+e.preventDefault();return}subContentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onOpenAutoFocus:handleOpenAutoFocus,get enabled(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,
+onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars("menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);
+{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$J();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??
+noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),{get ref(){return subContentState.opts.ref},get interactOutsideBehavior(){return interactOutsideBehavior()},get escapeKeydownBehavior(){return escapeKeydownBehavior()},onCloseAutoFocus:handleCloseAutoFocus,onOpenAutoFocus:handleOpenAutoFocus,
+get open(){return subContentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,onFocusOutside:handleOnFocusOutside,preventScroll:!1,get loop(){return loop2()},get trapFocus(){return trapFocus()},get shouldRender(){return subContentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),get$3(mergedProps),{style:getFloatingContentCSSVars(
+"menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...subContentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$x();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(
+div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$11=from_html("<div><!></div>");function Menu_sub_trigger($$anchor,$$props){
+const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),ref2=prop($$props,"ref",15,null),onSelect=prop($$props,"onSelect",3,noop$1),openDelay=prop($$props,"openDelay",3,0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","disabled","ref","children","child","onSelect","openDelay"]);const subTriggerState=MenuSubTriggerState.create({disabled:boxWith$1(()=>disabled()),onSelect:boxWith$1(()=>onSelect()),id:boxWith$1(
+()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),openDelay:boxWith$1(()=>openDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,subTriggerState.props));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return subTriggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),
+append($$anchor3,fragment_2)},alternate=$$anchor3=>{var div=root_3$11();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function isPointInPolygon(point2,polygon){const[x,y]=point2;let isInside=!1;const length=polygon.length;for(let i=0,j=length-1;i<length;j=
+i++){const[xi,yi]=polygon[i]??[0,0],[xj,yj]=polygon[j]??[0,0];yi>=y!=yj>=y&&x<=(xj-xi)*(y-yi)/(yj-yi)+xi&&(isInside=!isInside)}return isInside}function isInsideRect(point2,rect){return point2[0]>=rect.left&&point2[0]<=rect.right&&point2[1]>=rect.top&&point2[1]<=rect.bottom}function getSide(triggerRect,contentRect){const triggerCenterX=triggerRect.left+triggerRect.width/2,triggerCenterY=triggerRect.top+triggerRect.height/2,contentCenterX=contentRect.left+contentRect.width/2,contentCenterY=contentRect.
+top+contentRect.height/2,deltaX=contentCenterX-triggerCenterX,deltaY=contentCenterY-triggerCenterY;return Math.abs(deltaX)>Math.abs(deltaY)?deltaX>0?"right":"left":deltaY>0?"bottom":"top"}class SafePolygon{#opts;#buffer;#transitIntentTimeout;#exitPoint=null;#exitTarget=null;#transitTargets=[];#trackedTriggerNode=null;#leaveFallbackRafId=null;#transitIntentTimeoutId=null;#cancelLeaveFallback(){this.#leaveFallbackRafId!==null&&(cancelAnimationFrame(this.#leaveFallbackRafId),this.#leaveFallbackRafId=
+null)}#scheduleLeaveFallback(){this.#cancelLeaveFallback(),this.#leaveFallbackRafId=requestAnimationFrame(()=>{this.#leaveFallbackRafId=null,!(!this.#exitPoint||!this.#exitTarget)&&(this.#clearTracking(),this.#opts.onPointerExit())})}#cancelTransitIntentTimeout(){this.#transitIntentTimeoutId!==null&&(clearTimeout(this.#transitIntentTimeoutId),this.#transitIntentTimeoutId=null)}#scheduleTransitIntentTimeout(){this.#transitIntentTimeout!==null&&(this.#cancelTransitIntentTimeout(),this.#transitIntentTimeoutId=
+window.setTimeout(()=>{this.#transitIntentTimeoutId=null,!(!this.#exitPoint||!this.#exitTarget)&&(this.#clearTracking(),this.#opts.onPointerExit())},this.#transitIntentTimeout))}constructor(opts){this.#opts=opts,this.#buffer=opts.buffer??1;const transitIntentTimeout=opts.transitIntentTimeout;this.#transitIntentTimeout=typeof transitIntentTimeout=="number"&&transitIntentTimeout>0?transitIntentTimeout:null,watch$1([opts.triggerNode,opts.contentNode,opts.enabled],([triggerNode,contentNode,enabled])=>{
+if(!triggerNode||!contentNode||!enabled){this.#trackedTriggerNode=null,this.#clearTracking();return}this.#trackedTriggerNode&&this.#trackedTriggerNode!==triggerNode&&this.#clearTracking(),this.#trackedTriggerNode=triggerNode;const doc=getDocument$1(triggerNode),handlePointerMove=e=>{this.#onPointerMove([e.clientX,e.clientY],triggerNode,contentNode)},handleTriggerLeave=e=>{const target2=e.relatedTarget;if(isElement$1(target2)&&contentNode.contains(target2))return;const ignoredTargets=this.#opts.ignoredTargets?.()??
+[];isElement$1(target2)&&ignoredTargets.some(n=>n===target2||n.contains(target2))||(this.#transitTargets=isElement$1(target2)&&ignoredTargets.length>0?ignoredTargets.filter(n=>target2.contains(n)):[],this.#exitPoint=[e.clientX,e.clientY],this.#exitTarget="content",this.#scheduleLeaveFallback())},handleTriggerEnter=()=>{this.#clearTracking()},handleContentEnter=()=>{this.#clearTracking()},handleContentLeave=e=>{const target2=e.relatedTarget;isElement$1(target2)&&triggerNode.contains(target2)||(this.#exitPoint=
+[e.clientX,e.clientY],this.#exitTarget="trigger",this.#scheduleLeaveFallback())};return[on(doc,"pointermove",handlePointerMove),on(triggerNode,"pointerleave",handleTriggerLeave),on(triggerNode,"pointerenter",handleTriggerEnter),on(contentNode,"pointerenter",handleContentEnter),on(contentNode,"pointerleave",handleContentLeave)].reduce((acc,cleanup)=>()=>{acc(),cleanup()},()=>{})})}#onPointerMove(clientPoint,triggerNode,contentNode){if(!this.#exitPoint||!this.#exitTarget)return;this.#cancelLeaveFallback(),
+this.#scheduleTransitIntentTimeout();const triggerRect=triggerNode.getBoundingClientRect(),contentRect=contentNode.getBoundingClientRect();if(this.#exitTarget==="content"&&isInsideRect(clientPoint,contentRect)){this.#clearTracking();return}if(this.#exitTarget==="trigger"&&isInsideRect(clientPoint,triggerRect)){this.#clearTracking();return}if(this.#exitTarget==="content"&&this.#transitTargets.length>0)for(const transitTarget of this.#transitTargets){const transitRect=transitTarget.getBoundingClientRect();
+if(isInsideRect(clientPoint,transitRect))return;const transitSide=getSide(triggerRect,transitRect),transitCorridor=this.#getCorridorPolygon(triggerRect,transitRect,transitSide);if(transitCorridor&&isPointInPolygon(clientPoint,transitCorridor))return}const side=getSide(triggerRect,contentRect),corridorPoly=this.#getCorridorPolygon(triggerRect,contentRect,side);if(corridorPoly&&isPointInPolygon(clientPoint,corridorPoly))return;const targetRect=this.#exitTarget==="content"?contentRect:triggerRect,safePoly=this.#getSafePolygon(
+this.#exitPoint,targetRect,side,this.#exitTarget);isPointInPolygon(clientPoint,safePoly)||(this.#clearTracking(),this.#opts.onPointerExit())}#clearTracking(){this.#exitPoint=null,this.#exitTarget=null,this.#transitTargets=[],this.#cancelLeaveFallback(),this.#cancelTransitIntentTimeout()}#getCorridorPolygon(triggerRect,contentRect,side){const buffer=this.#buffer;switch(side){case"top":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.top],[Math.min(triggerRect.left,contentRect.
+left)-buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.bottom],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.top]];case"bottom":return[[Math.min(triggerRect.left,contentRect.left)-buffer,triggerRect.bottom],[Math.min(triggerRect.left,contentRect.left)-buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,contentRect.top],[Math.max(triggerRect.right,contentRect.right)+buffer,triggerRect.bottom]];case"left":return[
+[triggerRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer],[triggerRect.left,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]];case"right":return[[triggerRect.right,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.min(triggerRect.top,contentRect.top)-buffer],[contentRect.left,Math.max(triggerRect.bottom,contentRect.
+bottom)+buffer],[triggerRect.right,Math.max(triggerRect.bottom,contentRect.bottom)+buffer]]}}#getSafePolygon(exitPoint,targetRect,side,exitTarget){const buffer=this.#buffer*4,[x,y]=exitPoint;switch(exitTarget==="trigger"?this.#flipSide(side):side){case"top":return[[x-buffer,y+buffer],[x+buffer,y+buffer],[targetRect.right+buffer,targetRect.bottom],[targetRect.right+buffer,targetRect.top],[targetRect.left-buffer,targetRect.top],[targetRect.left-buffer,targetRect.bottom]];case"bottom":return[[x-buffer,
+y-buffer],[x+buffer,y-buffer],[targetRect.right+buffer,targetRect.top],[targetRect.right+buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.bottom],[targetRect.left-buffer,targetRect.top]];case"left":return[[x+buffer,y-buffer],[x+buffer,y+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.left,targetRect.bottom+buffer],[targetRect.left,targetRect.top-buffer],[targetRect.right,targetRect.top-buffer]];case"right":return[[x-buffer,y-buffer],[x-buffer,y+buffer],[targetRect.left,
+targetRect.bottom+buffer],[targetRect.right,targetRect.bottom+buffer],[targetRect.right,targetRect.top-buffer],[targetRect.left,targetRect.top-buffer]]}}#flipSide(side){switch(side){case"top":return"bottom";case"bottom":return"top";case"left":return"right";case"right":return"left"}}}const popoverAttrs=createBitsAttrs({component:"popover",parts:["root","trigger","content","close","overlay"]}),PopoverRootContext=new Context$1("Popover.Root");class PopoverRootState{static create(opts){return PopoverRootContext.
+set(new PopoverRootState(opts))}opts;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#triggerNode=state$1(null);get triggerNode(){return get$3(this.#triggerNode)}set triggerNode(value){set$1(this.#triggerNode,value,!0)}#overlayNode=state$1(null);get overlayNode(){return get$3(this.#overlayNode)}set overlayNode(value){set$1(this.#overlayNode,value,!0)}overlayPresence;#openedViaHover=state$1(!1);get openedViaHover(){
+return get$3(this.#openedViaHover)}set openedViaHover(value){set$1(this.#openedViaHover,value,!0)}#hasInteractedWithContent=state$1(!1);get hasInteractedWithContent(){return get$3(this.#hasInteractedWithContent)}set hasInteractedWithContent(value){set$1(this.#hasInteractedWithContent,value,!0)}#hoverCooldown=state$1(!1);get hoverCooldown(){return get$3(this.#hoverCooldown)}set hoverCooldown(value){set$1(this.#hoverCooldown,value,!0)}#closeDelay=state$1(0);get closeDelay(){return get$3(this.#closeDelay)}set closeDelay(value){
+set$1(this.#closeDelay,value,!0)}#closeTimeout=null;#domContext=null;constructor(opts){this.opts=opts,this.contentPresence=new PresenceManager({ref:boxWith$1(()=>this.contentNode),open:this.opts.open,onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),this.overlayPresence=new PresenceManager({ref:boxWith$1(()=>this.overlayNode),open:this.opts.open}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen||(this.openedViaHover=!1,this.hasInteractedWithContent=!1,this.#clearCloseTimeout())})}setDomContext(ctx){
+this.#domContext=ctx}#clearCloseTimeout(){this.#closeTimeout!==null&&this.#domContext&&(this.#domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}toggleOpen(){this.#clearCloseTimeout(),this.opts.open.current=!this.opts.open.current}handleClose(){this.#clearCloseTimeout(),this.opts.open.current&&(this.opts.open.current=!1)}handleHoverOpen(){this.#clearCloseTimeout(),!this.opts.open.current&&(this.openedViaHover=!0,this.opts.open.current=!0)}handleHoverClose(){this.opts.open.current&&
+this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1)}handleDelayedHoverClose(){this.opts.open.current&&(!this.openedViaHover||this.hasInteractedWithContent||(this.#clearCloseTimeout(),this.closeDelay<=0?this.opts.open.current=!1:this.#domContext&&(this.#closeTimeout=this.#domContext.setTimeout(()=>{this.openedViaHover&&!this.hasInteractedWithContent&&(this.opts.open.current=!1),this.#closeTimeout=null},this.closeDelay))))}cancelDelayedClose(){this.#clearCloseTimeout()}markInteraction(){
+this.hasInteractedWithContent=!0,this.#clearCloseTimeout()}}class PopoverTriggerState{static create(opts){return new PopoverTriggerState(opts,PopoverRootContext.get())}opts;root;attachment;domContext;#openTimeout=null;#closeTimeout=null;#isHovering=state$1(!1);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.triggerNode=v),this.domContext=new DOMContext(opts.ref),this.root.setDomContext(this.domContext),this.onclick=this.onclick.bind(this),
+this.onkeydown=this.onkeydown.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),watch$1(()=>this.opts.closeDelay.current,delay=>{this.root.closeDelay=delay})}#clearOpenTimeout(){this.#openTimeout!==null&&(this.domContext.clearTimeout(this.#openTimeout),this.#openTimeout=null)}#clearCloseTimeout(){this.#closeTimeout!==null&&(this.domContext.clearTimeout(this.#closeTimeout),this.#closeTimeout=null)}#clearAllTimeouts(){this.#clearOpenTimeout(),
+this.#clearCloseTimeout()}onpointerenter(e){if(this.opts.disabled.current||!this.opts.openOnHover.current||isTouch(e)||(set$1(this.#isHovering,!0),this.#clearCloseTimeout(),this.root.cancelDelayedClose(),this.root.opts.open.current||this.root.hoverCooldown))return;const delay=this.opts.openDelay.current;delay<=0?this.root.handleHoverOpen():this.#openTimeout=this.domContext.setTimeout(()=>{this.root.handleHoverOpen(),this.#openTimeout=null},delay)}onpointerleave(e){this.opts.disabled.current||this.
+opts.openOnHover.current&&(isTouch(e)||(set$1(this.#isHovering,!1),this.#clearOpenTimeout(),this.root.hoverCooldown=!1))}onclick(e){if(!this.opts.disabled.current&&e.button===0){if(this.#clearAllTimeouts(),get$3(this.#isHovering)&&this.root.opts.open.current&&this.root.openedViaHover){this.root.openedViaHover=!1,this.root.hasInteractedWithContent=!0;return}get$3(this.#isHovering)&&this.opts.openOnHover.current&&this.root.opts.open.current&&(this.root.hoverCooldown=!0),this.root.hoverCooldown&&!this.
+root.opts.open.current&&(this.root.hoverCooldown=!1),this.root.toggleOpen()}}onkeydown(e){this.opts.disabled.current||(e.key===ENTER||e.key===SPACE)&&(e.preventDefault(),this.#clearAllTimeouts(),this.root.toggleOpen())}#getAriaControls(){if(this.root.opts.open.current&&this.root.contentNode?.id)return this.root.contentNode?.id}#props=user_derived(()=>({id:this.opts.id.current,"aria-haspopup":"dialog","aria-expanded":boolToStr(this.root.opts.open.current),"data-state":getDataOpenClosed(this.root.
+opts.open.current),"aria-controls":this.#getAriaControls(),[popoverAttrs.trigger]:"",disabled:this.opts.disabled.current,onkeydown:this.onkeydown,onclick:this.onclick,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class PopoverContentState{static create(opts){return new PopoverContentState(opts,PopoverRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=
+opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.root.contentNode=v),this.onpointerdown=this.onpointerdown.bind(this),this.onfocusin=this.onfocusin.bind(this),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&this.root.openedViaHover&&!this.root.hasInteractedWithContent,onPointerExit:()=>{this.
+root.handleDelayedHoverClose()}})}onpointerdown(_){this.root.markInteraction()}onfocusin(e){const target2=e.target;isElement$1(target2)&&isTabbable(target2)&&this.root.markInteraction()}onpointerenter(e){isTouch(e)||this.root.cancelDelayedClose()}onpointerleave(e){isTouch(e)}onInteractOutside=e=>{if(this.opts.onInteractOutside.current(e),e.defaultPrevented||!isElement$1(e.target))return;const closestTrigger=e.target.closest(popoverAttrs.selector("trigger"));if(!(closestTrigger&&closestTrigger===
+this.root.triggerNode)){if(this.opts.customAnchor.current){if(isElement$1(this.opts.customAnchor.current)){if(this.opts.customAnchor.current.contains(e.target))return}else if(typeof this.opts.customAnchor.current=="string"){const el=document.querySelector(this.opts.customAnchor.current);if(el&&el.contains(e.target))return}}this.root.handleClose()}};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current(e),!e.defaultPrevented&&this.root.handleClose()};get shouldRender(){return this.root.contentPresence.
+shouldRender}get shouldTrapFocus(){return!(this.root.openedViaHover&&!this.root.hasInteractedWithContent)}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,tabindex:-1,"data-state":getDataOpenClosed(this.root.opts.open.current),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),[popoverAttrs.content]:"",
+style:{pointerEvents:"auto",contain:"layout style"},onpointerdown:this.onpointerdown,onfocusin:this.onfocusin,onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown}}var root_4$I=from_html("<div><div><!></div></div>"),root_8$w=from_html("<div><div><!></div></div>");function Popover_content$1($$anchor,$$props){
+const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),forceMount=prop($$props,"forceMount",3,!1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!1),customAnchor=prop(
+$$props,"customAnchor",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","forceMount","onOpenAutoFocus","onCloseAutoFocus","onEscapeKeydown","onInteractOutside","trapFocus","preventScroll","customAnchor","style"]);const contentState=PopoverContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown()),customAnchor:boxWith$1(()=>customAnchor())}),
+mergedProps=user_derived(()=>mergeProps(restProps,contentState.props)),effectiveTrapFocus=user_derived(()=>trapFocus()&&contentState.shouldTrapFocus);function handleOpenAutoFocus(e){contentState.shouldTrapFocus||e.preventDefault(),onOpenAutoFocus()(e)}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.
+root.opts.open.current},get id(){return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!0,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars(
+"popover")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$I();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,
+()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.root.opts.open.current},get id(){
+return id2()},get trapFocus(){return get$3(effectiveTrapFocus)},get preventScroll(){return preventScroll()},loop:!0,forceMount:!1,get customAnchor(){return customAnchor()},onOpenAutoFocus:handleOpenAutoFocus,get onCloseAutoFocus(){return onCloseAutoFocus()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("po\
+pover")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$w();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(
+div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$10=from_html("<button><!></button>");function Popover_trigger$1($$anchor,$$props){
+const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),disabled=prop($$props,"disabled",3,!1),openOnHover=prop($$props,"openOnHover",3,!1),openDelay=prop($$props,"openDelay",3,700),closeDelay=prop($$props,"closeDelay",3,300),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","type","disabled","openOnHover","openDelay","closeDelay"]);const triggerState=PopoverTriggerState.
+create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),disabled:boxWith$1(()=>!!disabled()),openOnHover:boxWith$1(()=>openOnHover()),openDelay:boxWith$1(()=>openDelay()),closeDelay:boxWith$1(()=>closeDelay())}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{
+var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$10();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),
+pop()}function Dialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);DialogRootState.create({variant:boxWith$1(()=>"dialog"),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=comment$2(),node2=first_child(fragment);snippet(node2,()=>$$props.children??noop$3),append($$anchor,
+fragment),pop()}var root_2$1n=from_html("<button><!></button>");function Dialog_close($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","disabled"]);const closeState=DialogCloseState.create({variant:boxWith$1(()=>"close"),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(
+v)),disabled:boxWith$1(()=>!!disabled())}),mergedProps=user_derived(()=>mergeProps(restProps,closeState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1n();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.
+children??noop$3),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_6$y=from_html("<!> <!>",1),root_8$v=from_html("<!> <div><!></div>",1);function Dialog_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),onCloseAutoFocus=prop($$props,"onCl\
+oseAutoFocus",3,noop$1),onOpenAutoFocus=prop($$props,"onOpenAutoFocus",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),trapFocus=prop($$props,"trapFocus",3,!0),preventScroll=prop($$props,"preventScroll",3,!0),restoreScrollDelay=prop($$props,"restoreScrollDelay",3,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","children","child","ref","forceMount","onCloseAutoFocus","onOpenAutoFocus","onEscap\
+eKeydown","onInteractOutside","trapFocus","preventScroll","restoreScrollDelay"]);const contentState=DialogContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{Focus_scope($$anchor2,{get ref(){return contentState.opts.ref},loop:!0,get trapFocus(){return trapFocus()},get enabled(){return contentState.root.opts.open.
+current},get onOpenAutoFocus(){return onOpenAutoFocus()},get onCloseAutoFocus(){return onCloseAutoFocus()},focusScope:($$anchor3,$$arg0)=>{let focusScopeProps=()=>$$arg0?.().props;Escape_layer($$anchor3,spread_props(()=>get$3(mergedProps),{get enabled(){return contentState.root.opts.open.current},get ref(){return contentState.opts.ref},onEscapeKeydown:e=>{onEscapeKeydown()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor4,$$slotProps)=>{Dismissible_layer($$anchor4,spread_props(
+()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},onInteractOutside:e=>{onInteractOutside()(e),!e.defaultPrevented&&contentState.root.handleClose()},children:($$anchor5,$$slotProps2)=>{Text_selection_layer($$anchor5,spread_props(()=>get$3(mergedProps),{get ref(){return contentState.opts.ref},get enabled(){return contentState.root.opts.open.current},children:($$anchor6,$$slotProps3)=>{var fragment_5=comment$2(),node_1=first_child(
+fragment_5);{var consequent_1=$$anchor7=>{var fragment_6=root_6$y(),node_2=first_child(fragment_6);{var consequent=$$anchor8=>{Scroll_lock($$anchor8,{get preventScroll(){return preventScroll()},get restoreScrollDelay(){return restoreScrollDelay()}})};if_block(node_2,$$render=>{contentState.root.opts.open.current&&$$render(consequent)})}var node_3=sibling(node_2,2);{let $0=user_derived(()=>({props:mergeProps(get$3(mergedProps),focusScopeProps()),...contentState.snippetProps}));snippet(node_3,()=>$$props.
+child,()=>get$3($0))}append($$anchor7,fragment_6)},alternate=$$anchor7=>{var fragment_8=root_8$v(),node_4=first_child(fragment_8);Scroll_lock(node_4,{get preventScroll(){return preventScroll()}});var div=sibling(node_4,2);attribute_effect(div,$0=>({...$0}),[()=>mergeProps(get$3(mergedProps),focusScopeProps())]);var node_5=child(div);snippet(node_5,()=>$$props.children??noop$3),reset(div),append($$anchor7,fragment_8)};if_block(node_1,$$render=>{$$props.child?$$render(consequent_1):$$render(alternate,
+-1)})}append($$anchor6,fragment_5)},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{default:!0}}))},$$slots:{focusScope:!0}})};if_block(node2,$$render=>{(contentState.shouldRender||forceMount())&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function Menu($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),dir=prop($$props,"dir",3,"ltr"),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),
+variant=prop($$props,"_internal_variant",3,"dropdown-menu"),shouldSkipExitAnimation=prop($$props,"_internal_should_skip_exit_animation",3,void 0);const root2=MenuRootState.create({variant:boxWith$1(()=>variant()),dir:boxWith$1(()=>dir()),onClose:()=>{open2(!1),onOpenChange()(!1)},shouldSkipExitAnimation:()=>shouldSkipExitAnimation()?.()??!1});MenuMenuState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())},root2),Floating_layer(
+$$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$H=from_html("<div><div><!></div></div>"),root_8$u=from_html("<div><div><!></div></div>");function Dropdown_menu_content$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),loop2=prop($$props,"l\
+oop",3,!0),onInteractOutside=prop($$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),onCloseAutoFocus=prop($$props,"onCloseAutoFocus",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),trapFocus=prop($$props,"trapFocus",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","child","children","ref","loop","onInteractOutside","onEscapeKeydown","onCloseAutoFocus","forceMount","trapFocus","style"]);const contentState=MenuContentState.create(
+{id:boxWith$1(()=>id2()),loop:boxWith$1(()=>loop2()),ref:boxWith$1(()=>ref2(),v=>ref2(v)),onCloseAutoFocus:boxWith$1(()=>onCloseAutoFocus())}),mergedProps=user_derived(()=>mergeProps(restProps,contentState.props));function handleInteractOutside(e){if(contentState.handleInteractOutside(e),!e.defaultPrevented&&(onInteractOutside()(e),!e.defaultPrevented)){if(e.target&&e.target instanceof Element){const subContentSelector=`[${contentState.parentMenu.root.getBitsAttr("sub-content")}]`;if(e.target.closest(
+subContentSelector))return}contentState.parentMenu.onClose()}}function handleEscapeKeydown(e){onEscapeKeydown()(e),!e.defaultPrevented&&contentState.parentMenu.onClose()}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get enabled(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,
+get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!0,get id(){return id2()},get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(
+fragment_3);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$H();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{
+$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{popper:!0}}))},consequent_3=$$anchor2=>{Popper_layer($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get ref(){return contentState.opts.ref},get open(){return contentState.parentMenu.opts.open.current},onInteractOutside:handleInteractOutside,onEscapeKeydown:handleEscapeKeydown,get trapFocus(){return trapFocus()},get loop(){return loop2()},forceMount:!1,get id(){return id2()},
+get shouldRender(){return contentState.shouldRender},popper:($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("dropdown-menu")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $0=user_derived(()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),
+...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($0))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$u();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(alternate_1,-1)})}append($$anchor3,
+fragment_5)},$$slots:{popper:!0}}))};if_block(node2,$$render=>{forceMount()?$$render(consequent_1):forceMount()||$$render(consequent_3,1)})}append($$anchor,fragment),pop()}var root_3$$=from_html("<button><!></button>");function Menu_trigger($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),disabled=prop($$props,"disabled",3,!1),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","\
+$$events","$$legacy","id","ref","child","children","disabled","type"]);const triggerState=DropdownMenuTriggerState.create({id:boxWith$1(()=>id2()),disabled:boxWith$1(()=>disabled()??!1),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));Floating_layer_anchor($$anchor,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{
+var fragment_2=comment$2(),node_1=first_child(fragment_2);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor3,fragment_2)},alternate=$$anchor3=>{var button=root_3$$();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3),reset(button),append($$anchor3,button)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),
+pop()}const labelAttrs=createBitsAttrs({component:"label",parts:["root"]});class LabelRootState{static create(opts){return new LabelRootState(opts)}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(this.opts.ref),this.onmousedown=this.onmousedown.bind(this)}onmousedown(e){e.detail>1&&e.preventDefault()}#props=user_derived(()=>({id:this.opts.id.current,[labelAttrs.root]:"",onmousedown:this.onmousedown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){
+set$1(this.#props,value)}}var root_2$1m=from_html("<label><!></label>");function Label$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","for"]);const rootState=LabelRootState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{for:$$props.
+for}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var label=root_2$1m();attribute_effect(label,()=>({...get$3(mergedProps),for:$$props.for}));var node_2=child(label);snippet(node_2,()=>$$props.children??noop$3),reset(label),append($$anchor2,label)};if_block(node2,$$render=>{$$props.child?
+$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}class SvelteResizeObserver{#node;#onResize;constructor(node2,onResize){this.#node=node2,this.#onResize=onResize,this.handler=this.handler.bind(this),user_effect(this.handler)}handler(){let rAF=0;const _node=this.#node();if(!_node)return;const resizeObserver=new ResizeObserver(()=>{cancelAnimationFrame(rAF),rAF=window.requestAnimationFrame(this.#onResize)});return resizeObserver.observe(_node),()=>{window.cancelAnimationFrame(
+rAF),resizeObserver.unobserve(_node)}}}class Presence{opts;present;#afterAnimations;#isPresent=state$1(!1);#hasMounted=!1;#transitionStatus=state$1(void 0);#transitionFrame=null;constructor(opts){this.opts=opts,this.present=this.opts.open,set$1(this.#isPresent,opts.open.current,!0),this.#afterAnimations=new AnimationsComplete({ref:this.opts.ref,afterTick:this.opts.open}),onDestroyEffect(()=>this.#clearTransitionFrame()),watch$1(()=>this.present.current,isOpen=>{if(!this.#hasMounted){this.#hasMounted=
+!0;return}this.#clearTransitionFrame(),isOpen&&set$1(this.#isPresent,!0),set$1(this.#transitionStatus,isOpen?"starting":"ending",!0),isOpen&&(this.#transitionFrame=window.requestAnimationFrame(()=>{this.#transitionFrame=null,this.present.current&&set$1(this.#transitionStatus,void 0)})),this.#afterAnimations.run(()=>{isOpen===this.present.current&&(isOpen||set$1(this.#isPresent,!1),set$1(this.#transitionStatus,void 0))})})}#_isPresent=user_derived(()=>get$3(this.#isPresent));get isPresent(){return get$3(
+this.#_isPresent)}set isPresent(value){set$1(this.#_isPresent,value)}get transitionStatus(){return get$3(this.#transitionStatus)}#clearTransitionFrame(){this.#transitionFrame!==null&&(window.cancelAnimationFrame(this.#transitionFrame),this.#transitionFrame=null)}}function Presence_layer($$anchor,$$props){push$1($$props,!0);const presenceState=new Presence({open:boxWith$1(()=>$$props.open),ref:$$props.ref});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);snippet(node_1,()=>$$props.presence??noop$3,()=>({present:presenceState.isPresent,transitionStatus:presenceState.transitionStatus})),append($$anchor2,fragment_1)};if_block(node2,$$render=>{($$props.forceMount||$$props.open||presenceState.isPresent)&&$$render(consequent)})}append($$anchor,fragment),pop()}function Popover$1($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop(
+$$props,"onOpenChangeComplete",3,noop$1);PopoverRootState.create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())}),Floating_layer($$anchor,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}function clamp(n,min2,max2){return Math.min(max2,Math.max(min2,n))}class StateMachine{state;#machine;constructor(initialState,machine){
+this.state=simpleBox(initialState),this.#machine=machine,this.dispatch=this.dispatch.bind(this)}#reducer(event2){return this.#machine[this.state.current][event2]??this.state.current}dispatch(event2){this.state.current=this.#reducer(event2)}}const scrollAreaAttrs=createBitsAttrs({component:"scroll-area",parts:["root","viewport","corner","thumb","scrollbar"]}),ScrollAreaRootContext=new Context$1("ScrollArea.Root"),ScrollAreaScrollbarContext=new Context$1("ScrollArea.Scrollbar"),ScrollAreaScrollbarVisibleContext=new Context$1(
+"ScrollArea.ScrollbarVisible"),ScrollAreaScrollbarAxisContext=new Context$1("ScrollArea.ScrollbarAxis"),ScrollAreaScrollbarSharedContext=new Context$1("ScrollArea.ScrollbarShared");class ScrollAreaRootState{static create(opts){return ScrollAreaRootContext.set(new ScrollAreaRootState(opts))}opts;attachment;#scrollAreaNode=state$1(null);get scrollAreaNode(){return get$3(this.#scrollAreaNode)}set scrollAreaNode(value){set$1(this.#scrollAreaNode,value,!0)}#viewportNode=state$1(null);get viewportNode(){
+return get$3(this.#viewportNode)}set viewportNode(value){set$1(this.#viewportNode,value,!0)}#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}#scrollbarXNode=state$1(null);get scrollbarXNode(){return get$3(this.#scrollbarXNode)}set scrollbarXNode(value){set$1(this.#scrollbarXNode,value,!0)}#scrollbarYNode=state$1(null);get scrollbarYNode(){return get$3(this.#scrollbarYNode)}set scrollbarYNode(value){set$1(this.#scrollbarYNode,
+value,!0)}#cornerWidth=state$1(0);get cornerWidth(){return get$3(this.#cornerWidth)}set cornerWidth(value){set$1(this.#cornerWidth,value,!0)}#cornerHeight=state$1(0);get cornerHeight(){return get$3(this.#cornerHeight)}set cornerHeight(value){set$1(this.#cornerHeight,value,!0)}#scrollbarXEnabled=state$1(!1);get scrollbarXEnabled(){return get$3(this.#scrollbarXEnabled)}set scrollbarXEnabled(value){set$1(this.#scrollbarXEnabled,value,!0)}#scrollbarYEnabled=state$1(!1);get scrollbarYEnabled(){return get$3(
+this.#scrollbarYEnabled)}set scrollbarYEnabled(value){set$1(this.#scrollbarYEnabled,value,!0)}domContext;constructor(opts){this.opts=opts,this.attachment=attachRef(opts.ref,v=>this.scrollAreaNode=v),this.domContext=new DOMContext(opts.ref)}#props=user_derived(()=>({id:this.opts.id.current,dir:this.opts.dir.current,style:{position:"relative","--bits-scroll-area-corner-height":`${this.cornerHeight}px`,"--bits-scroll-area-corner-width":`${this.cornerWidth}px`},[scrollAreaAttrs.root]:"",...this.attachment}));get props(){
+return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaViewportState{static create(opts){return new ScrollAreaViewportState(opts,ScrollAreaRootContext.get())}opts;root;attachment;#contentId=simpleBox(useId());#contentRef=simpleBox(null);contentAttachment=attachRef(this.#contentRef,v=>this.root.contentNode=v);constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref,v=>this.root.viewportNode=v)}#props=user_derived(()=>({id:this.opts.id.
+current,style:{overflowX:this.root.scrollbarXEnabled?"scroll":"hidden",overflowY:this.root.scrollbarYEnabled?"scroll":"hidden"},[scrollAreaAttrs.viewport]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}#contentProps=user_derived(()=>({id:this.#contentId.current,"data-scroll-area-content":"",style:{minWidth:this.root.scrollbarXEnabled?"fit-content":void 0},...this.contentAttachment}));get contentProps(){return get$3(this.#contentProps)}set contentProps(value){
+set$1(this.#contentProps,value)}}class ScrollAreaScrollbarState{static create(opts){return ScrollAreaScrollbarContext.set(new ScrollAreaScrollbarState(opts,ScrollAreaRootContext.get()))}opts;root;#isHorizontal=user_derived(()=>this.opts.orientation.current==="horizontal");get isHorizontal(){return get$3(this.#isHorizontal)}set isHorizontal(value){set$1(this.#isHorizontal,value)}#hasThumb=state$1(!1);get hasThumb(){return get$3(this.#hasThumb)}set hasThumb(value){set$1(this.#hasThumb,value,!0)}constructor(opts,root2){
+this.opts=opts,this.root=root2,watch$1(()=>this.isHorizontal,isHorizontal=>isHorizontal?(this.root.scrollbarXEnabled=!0,()=>{this.root.scrollbarXEnabled=!1}):(this.root.scrollbarYEnabled=!0,()=>{this.root.scrollbarYEnabled=!1}))}}class ScrollAreaScrollbarHoverState{static create(){return new ScrollAreaScrollbarHoverState(ScrollAreaScrollbarContext.get())}scrollbar;root;#isVisible=state$1(!1);get isVisible(){return get$3(this.#isVisible)}set isVisible(value){set$1(this.#isVisible,value,!0)}constructor(scrollbar){
+this.scrollbar=scrollbar,this.root=scrollbar.root,user_effect(()=>{const scrollAreaNode=this.root.scrollAreaNode,hideDelay=this.root.opts.scrollHideDelay.current;let hideTimer=0;if(!scrollAreaNode)return;const handlePointerEnter=()=>{this.root.domContext.clearTimeout(hideTimer),untrack$1(()=>this.isVisible=!0)},handlePointerLeave=()=>{hideTimer&&this.root.domContext.clearTimeout(hideTimer),hideTimer=this.root.domContext.setTimeout(()=>{untrack$1(()=>{this.scrollbar.hasThumb=!1,this.isVisible=!1})},
+hideDelay)},unsubListeners=executeCallbacks(on(scrollAreaNode,"pointerenter",handlePointerEnter),on(scrollAreaNode,"pointerleave",handlePointerLeave));return()=>{this.root.domContext.getWindow().clearTimeout(hideTimer),unsubListeners()}})}#props=user_derived(()=>({"data-state":this.isVisible?"visible":"hidden"}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarScrollState{static create(){return new ScrollAreaScrollbarScrollState(ScrollAreaScrollbarContext.
+get())}scrollbar;root;machine=new StateMachine("hidden",{hidden:{SCROLL:"scrolling"},scrolling:{SCROLL_END:"idle",POINTER_ENTER:"interacting"},interacting:{SCROLL:"interacting",POINTER_LEAVE:"idle"},idle:{HIDE:"hidden",SCROLL:"scrolling",POINTER_ENTER:"interacting"}});#isHidden=user_derived(()=>this.machine.state.current==="hidden");get isHidden(){return get$3(this.#isHidden)}set isHidden(value){set$1(this.#isHidden,value)}constructor(scrollbar){this.scrollbar=scrollbar,this.root=scrollbar.root;
+const debounceScrollend=useDebounce(()=>this.machine.dispatch("SCROLL_END"),100);user_effect(()=>{const _state=this.machine.state.current,scrollHideDelay=this.root.opts.scrollHideDelay.current;if(_state==="idle"){const hideTimer=this.root.domContext.setTimeout(()=>this.machine.dispatch("HIDE"),scrollHideDelay);return()=>this.root.domContext.clearTimeout(hideTimer)}}),user_effect(()=>{const viewportNode=this.root.viewportNode;if(!viewportNode)return;const scrollDirection=this.scrollbar.isHorizontal?
+"scrollLeft":"scrollTop";let prevScrollPos=viewportNode[scrollDirection];return on(viewportNode,"scroll",()=>{const scrollPos=viewportNode[scrollDirection];prevScrollPos!==scrollPos&&(this.machine.dispatch("SCROLL"),debounceScrollend()),prevScrollPos=scrollPos})}),this.onpointerenter=this.onpointerenter.bind(this),this.onpointerleave=this.onpointerleave.bind(this)}onpointerenter(_){this.machine.dispatch("POINTER_ENTER")}onpointerleave(_){this.machine.dispatch("POINTER_LEAVE")}#props=user_derived(
+()=>({"data-state":this.machine.state.current==="hidden"?"hidden":"visible",onpointerenter:this.onpointerenter,onpointerleave:this.onpointerleave}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarAutoState{static create(){return new ScrollAreaScrollbarAutoState(ScrollAreaScrollbarContext.get())}scrollbar;root;#isVisible=state$1(!1);get isVisible(){return get$3(this.#isVisible)}set isVisible(value){set$1(this.#isVisible,value,!0)}constructor(scrollbar){
+this.scrollbar=scrollbar,this.root=scrollbar.root;const handleResize=useDebounce(()=>{const viewportNode=this.root.viewportNode;if(!viewportNode)return;const isOverflowX=viewportNode.offsetWidth<viewportNode.scrollWidth,isOverflowY=viewportNode.offsetHeight<viewportNode.scrollHeight;this.isVisible=this.scrollbar.isHorizontal?isOverflowX:isOverflowY},10);new SvelteResizeObserver(()=>this.root.viewportNode,handleResize),new SvelteResizeObserver(()=>this.root.contentNode,handleResize)}#props=user_derived(
+()=>({"data-state":this.isVisible?"visible":"hidden"}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarVisibleState{static create(){return ScrollAreaScrollbarVisibleContext.set(new ScrollAreaScrollbarVisibleState(ScrollAreaScrollbarContext.get()))}scrollbar;root;#thumbNode=state$1(null);get thumbNode(){return get$3(this.#thumbNode)}set thumbNode(value){set$1(this.#thumbNode,value,!0)}#pointerOffset=state$1(0);get pointerOffset(){return get$3(
+this.#pointerOffset)}set pointerOffset(value){set$1(this.#pointerOffset,value,!0)}#sizes=state$1({content:0,viewport:0,scrollbar:{size:0,paddingStart:0,paddingEnd:0}});get sizes(){return get$3(this.#sizes)}set sizes(value){set$1(this.#sizes,value)}#thumbRatio=user_derived(()=>getThumbRatio(this.sizes.viewport,this.sizes.content));get thumbRatio(){return get$3(this.#thumbRatio)}set thumbRatio(value){set$1(this.#thumbRatio,value)}#hasThumb=user_derived(()=>this.thumbRatio>0&&this.thumbRatio<1);get hasThumb(){
+return get$3(this.#hasThumb)}set hasThumb(value){set$1(this.#hasThumb,value)}#prevTransformStyle=state$1("");get prevTransformStyle(){return get$3(this.#prevTransformStyle)}set prevTransformStyle(value){set$1(this.#prevTransformStyle,value,!0)}constructor(scrollbar){this.scrollbar=scrollbar,this.root=scrollbar.root,user_effect(()=>{this.scrollbar.hasThumb=this.hasThumb}),user_effect(()=>{!this.scrollbar.hasThumb&&this.thumbNode&&(this.prevTransformStyle=this.thumbNode.style.transform)})}setSizes(sizes){
+this.sizes=sizes}getScrollPosition(pointerPos,dir){return getScrollPositionFromPointer({pointerPos,pointerOffset:this.pointerOffset,sizes:this.sizes,dir})}onThumbPointerUp(){this.pointerOffset=0}onThumbPointerDown(pointerPos){this.pointerOffset=pointerPos}xOnThumbPositionChange(){if(!(this.root.viewportNode&&this.thumbNode))return;const scrollPos=this.root.viewportNode.scrollLeft,transformStyle=`translate3d(${getThumbOffsetFromScroll({scrollPos,sizes:this.sizes,dir:this.root.opts.dir.current})}p\
+x, 0, 0)`;this.thumbNode.style.transform=transformStyle,this.prevTransformStyle=transformStyle}xOnWheelScroll(scrollPos){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=scrollPos)}xOnDragScroll(pointerPos){this.root.viewportNode&&(this.root.viewportNode.scrollLeft=this.getScrollPosition(pointerPos,this.root.opts.dir.current))}yOnThumbPositionChange(){if(!(this.root.viewportNode&&this.thumbNode))return;const scrollPos=this.root.viewportNode.scrollTop,transformStyle=`translate3d(0, ${getThumbOffsetFromScroll(
+{scrollPos,sizes:this.sizes})}px, 0)`;this.thumbNode.style.transform=transformStyle,this.prevTransformStyle=transformStyle}yOnWheelScroll(scrollPos){this.root.viewportNode&&(this.root.viewportNode.scrollTop=scrollPos)}yOnDragScroll(pointerPos){this.root.viewportNode&&(this.root.viewportNode.scrollTop=this.getScrollPosition(pointerPos,this.root.opts.dir.current))}}class ScrollAreaScrollbarXState{static create(opts){return ScrollAreaScrollbarAxisContext.set(new ScrollAreaScrollbarXState(opts,ScrollAreaScrollbarVisibleContext.
+get()))}opts;scrollbarVis;root;scrollbar;attachment;#computedStyle=state$1();get computedStyle(){return get$3(this.#computedStyle)}set computedStyle(value){set$1(this.#computedStyle,value,!0)}constructor(opts,scrollbarVis){this.opts=opts,this.scrollbarVis=scrollbarVis,this.root=scrollbarVis.root,this.scrollbar=scrollbarVis.scrollbar,this.attachment=attachRef(this.scrollbar.opts.ref,v=>this.root.scrollbarXNode=v),user_effect(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=
+getComputedStyle(this.scrollbar.opts.ref.current))}),user_effect(()=>{this.onResize()})}onThumbPointerDown=pointerPos=>{this.scrollbarVis.onThumbPointerDown(pointerPos.x)};onDragScroll=pointerPos=>{this.scrollbarVis.xOnDragScroll(pointerPos.x)};onThumbPointerUp=()=>{this.scrollbarVis.onThumbPointerUp()};onThumbPositionChange=()=>{this.scrollbarVis.xOnThumbPositionChange()};onWheelScroll=(e,maxScrollPos)=>{if(!this.root.viewportNode)return;const scrollPos=this.root.viewportNode.scrollLeft+e.deltaX;
+this.scrollbarVis.xOnWheelScroll(scrollPos),isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos)&&e.preventDefault()};onResize=()=>{this.scrollbar.opts.ref.current&&this.root.viewportNode&&this.computedStyle&&this.scrollbarVis.setSizes({content:this.root.viewportNode.scrollWidth,viewport:this.root.viewportNode.offsetWidth,scrollbar:{size:this.scrollbar.opts.ref.current.clientWidth,paddingStart:toInt(this.computedStyle.paddingLeft),paddingEnd:toInt(this.computedStyle.paddingRight)}})};#thumbSize=user_derived(
+()=>getThumbSize(this.scrollbarVis.sizes));get thumbSize(){return get$3(this.#thumbSize)}set thumbSize(value){set$1(this.#thumbSize,value)}#props=user_derived(()=>({id:this.scrollbar.opts.id.current,"data-orientation":"horizontal",style:{bottom:0,left:this.root.opts.dir.current==="rtl"?"var(--bits-scroll-area-corner-width)":0,right:this.root.opts.dir.current==="ltr"?"var(--bits-scroll-area-corner-width)":0,"--bits-scroll-area-thumb-width":`${this.thumbSize}px`},...this.attachment}));get props(){
+return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaScrollbarYState{static create(opts){return ScrollAreaScrollbarAxisContext.set(new ScrollAreaScrollbarYState(opts,ScrollAreaScrollbarVisibleContext.get()))}opts;scrollbarVis;root;scrollbar;attachment;#computedStyle=state$1();get computedStyle(){return get$3(this.#computedStyle)}set computedStyle(value){set$1(this.#computedStyle,value,!0)}constructor(opts,scrollbarVis){this.opts=opts,this.scrollbarVis=scrollbarVis,
+this.root=scrollbarVis.root,this.scrollbar=scrollbarVis.scrollbar,this.attachment=attachRef(this.scrollbar.opts.ref,v=>this.root.scrollbarYNode=v),user_effect(()=>{this.scrollbar.opts.ref.current&&this.opts.mounted.current&&(this.computedStyle=getComputedStyle(this.scrollbar.opts.ref.current))}),user_effect(()=>{this.onResize()}),this.onThumbPointerDown=this.onThumbPointerDown.bind(this),this.onDragScroll=this.onDragScroll.bind(this),this.onThumbPointerUp=this.onThumbPointerUp.bind(this),this.onThumbPositionChange=
+this.onThumbPositionChange.bind(this),this.onWheelScroll=this.onWheelScroll.bind(this),this.onResize=this.onResize.bind(this)}onThumbPointerDown(pointerPos){this.scrollbarVis.onThumbPointerDown(pointerPos.y)}onDragScroll(pointerPos){this.scrollbarVis.yOnDragScroll(pointerPos.y)}onThumbPointerUp(){this.scrollbarVis.onThumbPointerUp()}onThumbPositionChange(){this.scrollbarVis.yOnThumbPositionChange()}onWheelScroll(e,maxScrollPos){if(!this.root.viewportNode)return;const scrollPos=this.root.viewportNode.
+scrollTop+e.deltaY;this.scrollbarVis.yOnWheelScroll(scrollPos),isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos)&&e.preventDefault()}onResize(){this.scrollbar.opts.ref.current&&this.root.viewportNode&&this.computedStyle&&this.scrollbarVis.setSizes({content:this.root.viewportNode.scrollHeight,viewport:this.root.viewportNode.offsetHeight,scrollbar:{size:this.scrollbar.opts.ref.current.clientHeight,paddingStart:toInt(this.computedStyle.paddingTop),paddingEnd:toInt(this.computedStyle.paddingBottom)}})}#thumbSize=user_derived(
+()=>getThumbSize(this.scrollbarVis.sizes));get thumbSize(){return get$3(this.#thumbSize)}set thumbSize(value){set$1(this.#thumbSize,value)}#props=user_derived(()=>({id:this.scrollbar.opts.id.current,"data-orientation":"vertical",style:{top:0,right:this.root.opts.dir.current==="ltr"?0:void 0,left:this.root.opts.dir.current==="rtl"?0:void 0,bottom:"var(--bits-scroll-area-corner-height)","--bits-scroll-area-thumb-height":`${this.thumbSize}px`},...this.attachment}));get props(){return get$3(this.#props)}set props(value){
+set$1(this.#props,value)}}class ScrollAreaScrollbarSharedState{static create(){return ScrollAreaScrollbarSharedContext.set(new ScrollAreaScrollbarSharedState(ScrollAreaScrollbarAxisContext.get()))}scrollbarState;root;scrollbarVis;scrollbar;#rect=state$1(null);get rect(){return get$3(this.#rect)}set rect(value){set$1(this.#rect,value)}#prevWebkitUserSelect=state$1("");get prevWebkitUserSelect(){return get$3(this.#prevWebkitUserSelect)}set prevWebkitUserSelect(value){set$1(this.#prevWebkitUserSelect,
+value,!0)}handleResize;handleThumbPositionChange;handleWheelScroll;handleThumbPointerDown;handleThumbPointerUp;#maxScrollPos=user_derived(()=>this.scrollbarVis.sizes.content-this.scrollbarVis.sizes.viewport);get maxScrollPos(){return get$3(this.#maxScrollPos)}set maxScrollPos(value){set$1(this.#maxScrollPos,value)}constructor(scrollbarState){this.scrollbarState=scrollbarState,this.root=scrollbarState.root,this.scrollbarVis=scrollbarState.scrollbarVis,this.scrollbar=scrollbarState.scrollbarVis.scrollbar,
+this.handleResize=useDebounce(()=>this.scrollbarState.onResize(),10),this.handleThumbPositionChange=this.scrollbarState.onThumbPositionChange,this.handleWheelScroll=this.scrollbarState.onWheelScroll,this.handleThumbPointerDown=this.scrollbarState.onThumbPointerDown,this.handleThumbPointerUp=this.scrollbarState.onThumbPointerUp,user_effect(()=>{const maxScrollPos=this.maxScrollPos,scrollbarNode=this.scrollbar.opts.ref.current;this.root.viewportNode;const handleWheel=e=>{const node2=e.target;scrollbarNode?.
+contains(node2)&&this.handleWheelScroll(e,maxScrollPos)};return on(this.root.domContext.getDocument(),"wheel",handleWheel,{passive:!1})}),user_pre_effect(()=>{this.scrollbarVis.sizes,untrack$1(()=>this.handleThumbPositionChange())}),new SvelteResizeObserver(()=>this.scrollbar.opts.ref.current,this.handleResize),new SvelteResizeObserver(()=>this.root.contentNode,this.handleResize),this.onpointerdown=this.onpointerdown.bind(this),this.onpointermove=this.onpointermove.bind(this),this.onpointerup=this.
+onpointerup.bind(this),this.onlostpointercapture=this.onlostpointercapture.bind(this)}handleDragScroll(e){if(!this.rect)return;const x=e.clientX-this.rect.left,y=e.clientY-this.rect.top;this.scrollbarState.onDragScroll({x,y})}#cleanupPointerState(){this.rect!==null&&(this.root.domContext.getDocument().body.style.webkitUserSelect=this.prevWebkitUserSelect,this.root.viewportNode&&(this.root.viewportNode.style.scrollBehavior=""),this.rect=null)}onpointerdown(e){if(e.button!==0)return;e.target.setPointerCapture(
+e.pointerId),this.rect=this.scrollbar.opts.ref.current?.getBoundingClientRect()??null,this.prevWebkitUserSelect=this.root.domContext.getDocument().body.style.webkitUserSelect,this.root.domContext.getDocument().body.style.webkitUserSelect="none",this.root.viewportNode&&(this.root.viewportNode.style.scrollBehavior="auto"),this.handleDragScroll(e)}onpointermove(e){this.handleDragScroll(e)}onpointerup(e){const target2=e.target;target2.hasPointerCapture(e.pointerId)&&target2.releasePointerCapture(e.pointerId),
+this.#cleanupPointerState()}onlostpointercapture(_){this.#cleanupPointerState()}#props=user_derived(()=>mergeProps({...this.scrollbarState.props,style:{position:"absolute",...this.scrollbarState.props.style},[scrollAreaAttrs.scrollbar]:"",onpointerdown:this.onpointerdown,onpointermove:this.onpointermove,onpointerup:this.onpointerup,onlostpointercapture:this.onlostpointercapture}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaThumbImplState{static create(opts){
+return new ScrollAreaThumbImplState(opts,ScrollAreaScrollbarSharedContext.get())}opts;scrollbarState;attachment;#root;#removeUnlinkedScrollListener=state$1();#debounceScrollEnd=useDebounce(()=>{get$3(this.#removeUnlinkedScrollListener)&&(get$3(this.#removeUnlinkedScrollListener)(),set$1(this.#removeUnlinkedScrollListener,void 0))},100);constructor(opts,scrollbarState){this.opts=opts,this.scrollbarState=scrollbarState,this.#root=scrollbarState.root,this.attachment=attachRef(this.opts.ref,v=>this.
+scrollbarState.scrollbarVis.thumbNode=v),user_effect(()=>{const viewportNode=this.#root.viewportNode;if(!viewportNode)return;const handleScroll=()=>{if(this.#debounceScrollEnd(),!get$3(this.#removeUnlinkedScrollListener)){const listener=addUnlinkedScrollListener(viewportNode,this.scrollbarState.handleThumbPositionChange);set$1(this.#removeUnlinkedScrollListener,listener,!0),this.scrollbarState.handleThumbPositionChange()}};return untrack$1(()=>this.scrollbarState.handleThumbPositionChange()),on(
+viewportNode,"scroll",handleScroll)}),this.onpointerdowncapture=this.onpointerdowncapture.bind(this),this.onpointerup=this.onpointerup.bind(this)}onpointerdowncapture(e){const thumb=e.target;if(!thumb)return;const thumbRect=thumb.getBoundingClientRect(),x=e.clientX-thumbRect.left,y=e.clientY-thumbRect.top;this.scrollbarState.handleThumbPointerDown({x,y})}onpointerup(_){this.scrollbarState.handleThumbPointerUp()}#props=user_derived(()=>({id:this.opts.id.current,"data-state":this.scrollbarState.scrollbarVis.
+hasThumb?"visible":"hidden",style:{width:"var(--bits-scroll-area-thumb-width)",height:"var(--bits-scroll-area-thumb-height)",transform:this.scrollbarState.scrollbarVis.prevTransformStyle},onpointerdowncapture:this.onpointerdowncapture,onpointerup:this.onpointerup,[scrollAreaAttrs.thumb]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class ScrollAreaCornerImplState{static create(opts){return new ScrollAreaCornerImplState(opts,ScrollAreaRootContext.
+get())}opts;root;attachment;#width=state$1(0);#height=state$1(0);#hasSize=user_derived(()=>!!(get$3(this.#width)&&get$3(this.#height)));get hasSize(){return get$3(this.#hasSize)}set hasSize(value){set$1(this.#hasSize,value)}constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref),new SvelteResizeObserver(()=>this.root.scrollbarXNode,()=>{const height=this.root.scrollbarXNode?.offsetHeight||0;this.root.cornerHeight=height,set$1(this.#height,height,!0)}),new SvelteResizeObserver(
+()=>this.root.scrollbarYNode,()=>{const width=this.root.scrollbarYNode?.offsetWidth||0;this.root.cornerWidth=width,set$1(this.#width,width,!0)})}#props=user_derived(()=>({id:this.opts.id.current,style:{width:get$3(this.#width),height:get$3(this.#height),position:"absolute",right:this.root.opts.dir.current==="ltr"?0:void 0,left:this.root.opts.dir.current==="rtl"?0:void 0,bottom:0},[scrollAreaAttrs.corner]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,
+value)}}function toInt(value){return value?Number.parseInt(value,10):0}function getThumbRatio(viewportSize,contentSize){const ratio=viewportSize/contentSize;return Number.isNaN(ratio)?0:ratio}function getThumbSize(sizes){const ratio=getThumbRatio(sizes.viewport,sizes.content),scrollbarPadding=sizes.scrollbar.paddingStart+sizes.scrollbar.paddingEnd,thumbSize=(sizes.scrollbar.size-scrollbarPadding)*ratio;return Math.max(thumbSize,18)}function getScrollPositionFromPointer({pointerPos,pointerOffset,
+sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),thumbCenter=thumbSizePx/2,offset2=pointerOffset||thumbCenter,thumbOffsetFromEnd=thumbSizePx-offset2,minPointerPos=sizes.scrollbar.paddingStart+offset2,maxPointerPos=sizes.scrollbar.size-sizes.scrollbar.paddingEnd-thumbOffsetFromEnd,maxScrollPos=sizes.content-sizes.viewport,scrollRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0];return linearScale([minPointerPos,maxPointerPos],scrollRange)(pointerPos)}function getThumbOffsetFromScroll({
+scrollPos,sizes,dir="ltr"}){const thumbSizePx=getThumbSize(sizes),scrollbarPadding=sizes.scrollbar.paddingStart+sizes.scrollbar.paddingEnd,scrollbar=sizes.scrollbar.size-scrollbarPadding,maxScrollPos=sizes.content-sizes.viewport,maxThumbPos=scrollbar-thumbSizePx,scrollClampRange=dir==="ltr"?[0,maxScrollPos]:[maxScrollPos*-1,0],scrollWithoutMomentum=clamp(scrollPos,scrollClampRange[0],scrollClampRange[1]);return linearScale([0,maxScrollPos],[0,maxThumbPos])(scrollWithoutMomentum)}function linearScale(input,output){
+return value=>{if(input[0]===input[1]||output[0]===output[1])return output[0];const ratio=(output[1]-output[0])/(input[1]-input[0]);return output[0]+ratio*(value-input[0])}}function isScrollingWithinScrollbarBounds(scrollPos,maxScrollPos){return scrollPos>0&&scrollPos<maxScrollPos}function addUnlinkedScrollListener(node2,handler){let prevPosition={left:node2.scrollLeft,top:node2.scrollTop},rAF=0;const win=getWindow$1(node2);return(function loop2(){const position2={left:node2.scrollLeft,top:node2.
+scrollTop},isHorizontalScroll=prevPosition.left!==position2.left,isVerticalScroll=prevPosition.top!==position2.top;(isHorizontalScroll||isVerticalScroll)&&handler(),prevPosition=position2,rAF=win.requestAnimationFrame(loop2)})(),()=>win.cancelAnimationFrame(rAF)}var root_2$1l=from_html("<div><!></div>");function Scroll_area$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),type2=prop($$props,"type",3,"ho\
+ver"),dir=prop($$props,"dir",3,"ltr"),scrollHideDelay=prop($$props,"scrollHideDelay",3,600),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","type","dir","scrollHideDelay","children","child"]);const rootState=ScrollAreaRootState.create({type:boxWith$1(()=>type2()),dir:boxWith$1(()=>dir()),scrollHideDelay:boxWith$1(()=>scrollHideDelay()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props));var fragment=comment$2(),
+node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1l();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,
+fragment),pop()}var root$1W=from_html("<div><div><!></div></div>");function Scroll_area_viewport($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children"]);const viewportState=ScrollAreaViewportState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,viewportState.
+props)),mergedContentProps=user_derived(()=>mergeProps({},viewportState.contentProps));var div=root$1W();attribute_effect(div,()=>({...get$3(mergedProps)}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(mergedContentProps)}));var node2=child(div_1);snippet(node2,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor,div),pop()}var root_2$1k=from_html("<div><!></div>");function Scroll_area_scrollbar_shared($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,
+["$$slots","$$events","$$legacy","child","children"]);const scrollbarSharedState=ScrollAreaScrollbarSharedState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarSharedState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1k();attribute_effect(div,()=>({
+...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_scrollbar_x($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const isMounted=new IsMounted,scrollbarXState=ScrollAreaScrollbarXState.create({mounted:boxWith$1(()=>isMounted.current)}),
+mergedProps=user_derived(()=>mergeProps(restProps,scrollbarXState.props));Scroll_area_scrollbar_shared($$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Scroll_area_scrollbar_y($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const isMounted=new IsMounted,scrollbarYState=ScrollAreaScrollbarYState.create({mounted:boxWith$1(()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarYState.props));Scroll_area_scrollbar_shared(
+$$anchor,spread_props(()=>get$3(mergedProps))),pop()}function Scroll_area_scrollbar_visible($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);const scrollbarVisibleState=ScrollAreaScrollbarVisibleState.create();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_x($$anchor2,spread_props(()=>restProps))},alternate=$$anchor2=>{Scroll_area_scrollbar_y($$anchor2,spread_props(()=>restProps))};if_block(
+node2,$$render=>{scrollbarVisibleState.scrollbar.opts.orientation.current==="horizontal"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_scrollbar_auto($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","forceMount"]);const scrollbarAutoState=ScrollAreaScrollbarAutoState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarAutoState.props));
+{const presence=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$3(mergedProps)))};let $0=user_derived(()=>forceMount()||scrollbarAutoState.isVisible);Presence_layer($$anchor,{get open(){return get$3($0)},get ref(){return scrollbarAutoState.scrollbar.opts.ref},presence,$$slots:{presence:!0}})}pop()}function Scroll_area_scrollbar_scroll($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$\
+legacy","forceMount"]);const scrollbarScrollState=ScrollAreaScrollbarScrollState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarScrollState.props));{const presence=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$3(mergedProps)))};let $0=user_derived(()=>forceMount()||!scrollbarScrollState.isHidden);Presence_layer($$anchor,spread_props(()=>get$3(mergedProps),{get open(){return get$3($0)},get ref(){return scrollbarScrollState.scrollbar.opts.ref},presence,
+$$slots:{presence:!0}}))}pop()}function Scroll_area_scrollbar_hover($$anchor,$$props){push$1($$props,!0);let forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","forceMount"]);const scrollbarHoverState=ScrollAreaScrollbarHoverState.create(),scrollbarAutoState=ScrollAreaScrollbarAutoState.create(),mergedProps=user_derived(()=>mergeProps(restProps,scrollbarHoverState.props,scrollbarAutoState.props,{"data-state":scrollbarHoverState.isVisible?"vis\
+ible":"hidden"})),open2=user_derived(()=>forceMount()||scrollbarHoverState.isVisible&&scrollbarAutoState.isVisible);Presence_layer($$anchor,{get open(){return get$3(open2)},get ref(){return scrollbarAutoState.scrollbar.opts.ref},presence:$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>get$3(mergedProps)))},$$slots:{presence:!0}}),pop()}function Scroll_area_scrollbar$1($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,
+"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","orientation"]);const scrollbarState=ScrollAreaScrollbarState.create({orientation:boxWith$1(()=>$$props.orientation),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),type2=user_derived(()=>scrollbarState.root.opts.type.current);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Scroll_area_scrollbar_hover($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},
+consequent_1=$$anchor2=>{Scroll_area_scrollbar_scroll($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},consequent_2=$$anchor2=>{Scroll_area_scrollbar_auto($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))},consequent_3=$$anchor2=>{Scroll_area_scrollbar_visible($$anchor2,spread_props(()=>restProps,{get id(){return id2()}}))};if_block(node2,$$render=>{get$3(type2)==="hover"?$$render(consequent):get$3(type2)==="scroll"?$$render(consequent_1,1):get$3(type2)==="auto"?$$render(
+consequent_2,2):get$3(type2)==="always"&&$$render(consequent_3,3)})}append($$anchor,fragment),pop()}var root_2$1j=from_html("<div><!></div>");function Scroll_area_thumb_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","child","children","present"]);const isMounted=new IsMounted,thumbState=ScrollAreaThumbImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v)),mounted:boxWith$1(
+()=>isMounted.current)}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props,{style:{hidden:!$$props.present}}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1j();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.
+children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_thumb($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","forceMount"]);const scrollbarState=ScrollAreaScrollbarVisibleContext.
+get();{const presence=($$anchor2,$$arg0)=>{let present=()=>$$arg0?.().present;Scroll_area_thumb_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get present(){return present()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};let $0=user_derived(()=>forceMount()||scrollbarState.hasThumb);Presence_layer($$anchor,{get open(){return get$3($0)},get ref(){return scrollbarState.scrollbar.opts.ref},presence,$$slots:{presence:!0}})}pop()}var root_2$1i=from_html("<div><!></di\
+v>");function Scroll_area_corner_impl($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id","children","child"]);const cornerState=ScrollAreaCornerImplState.create({id:boxWith$1(()=>$$props.id),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,cornerState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);snippet(node_1,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$1i();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}function Scroll_area_corner($$anchor,$$props){const uid2=props_id();
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","id"]);const scrollAreaState=ScrollAreaRootContext.get(),hasBothScrollbarsVisible=user_derived(()=>!!(scrollAreaState.scrollbarXNode&&scrollAreaState.scrollbarYNode)),hasCorner=user_derived(()=>scrollAreaState.opts.type.current!=="scroll"&&get$3(hasBothScrollbarsVisible));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{
+Scroll_area_corner_impl($$anchor2,spread_props(()=>restProps,{get id(){return id2()},get ref(){return ref2()},set ref($$value){ref2($$value)}}))};if_block(node2,$$render=>{get$3(hasCorner)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root$1V=from_html("<!> <!>",1);function Select($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15),onValueChange=prop($$props,"onValueChange",3,noop$1),name=prop($$props,"name",3,""),disabled=prop($$props,"disabled",3,!1),open2=prop(
+$$props,"open",15,!1),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1),loop2=prop($$props,"loop",3,!1),scrollAlignment=prop($$props,"scrollAlignment",3,"nearest"),required2=prop($$props,"required",3,!1),items2=prop($$props,"items",19,()=>[]),allowDeselect=prop($$props,"allowDeselect",3,!1);function handleDefaultValue(){value()===void 0&&value($$props.type==="single"?"":[])}handleDefaultValue(),watch$1.pre(()=>value(),()=>{handleDefaultValue()});
+let inputValue=state$1("");const rootState=SelectRootState.create({type:$$props.type,value:boxWith$1(()=>value(),v=>{value(v),onValueChange()(v)}),disabled:boxWith$1(()=>disabled()),required:boxWith$1(()=>required2()),open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),loop:boxWith$1(()=>loop2()),scrollAlignment:boxWith$1(()=>scrollAlignment()),name:boxWith$1(()=>name()),isCombobox:!1,items:boxWith$1(()=>items2()),allowDeselect:boxWith$1(()=>allowDeselect()),inputValue:boxWith$1(()=>get$3(
+inputValue),v=>set$1(inputValue,v,!0)),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete())});var fragment=root$1V(),node2=first_child(fragment);Floating_layer(node2,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{
+Select_hidden_input($$anchor3,{get autocomplete(){return $$props.autocomplete}})},alternate=$$anchor3=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);each(node_4,16,()=>rootState.opts.value.current,item=>item,($$anchor4,item)=>{Select_hidden_input($$anchor4,{get value(){return item},get autocomplete(){return $$props.autocomplete}})}),append($$anchor3,fragment_4)};if_block(node_3,$$render=>{rootState.opts.value.current.length===0?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,
+fragment_2)},d2=user_derived(()=>Array.isArray(rootState.opts.value.current)),alternate_1=$$anchor2=>{Select_hidden_input($$anchor2,{get autocomplete(){return $$props.autocomplete},get value(){return rootState.opts.value.current},set value($$value){rootState.opts.value.current=$$value}})};if_block(node_2,$$render=>{get$3(d2)?$$render(consequent_1):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}var root_3$_=from_html("<button><!></button>");function Select_trigger$1($$anchor,$$props){
+const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),type2=prop($$props,"type",3,"button"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","id","ref","child","children","type"]);const triggerState=SelectTriggerState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,triggerState.props,{type:type2()}));var fragment=comment$2(),node2=first_child(
+fragment);component(node2,()=>Floating_layer_anchor,($$anchor2,FloatingLayer_Anchor)=>{FloatingLayer_Anchor($$anchor2,{get id(){return id2()},get ref(){return triggerState.opts.ref},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor4,fragment_2)},alternate=$$anchor4=>{var button=root_3$_();
+attribute_effect(button,()=>({...get$3(mergedProps)}));var node_3=child(button);snippet(node_3,()=>$$props.children??noop$3),reset(button),append($$anchor4,button)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}const switchAttrs=createBitsAttrs({component:"switch",parts:["root","thumb"]}),SwitchRootContext=new Context$1("Switch.Root");class SwitchRootState{static create(opts){
+return SwitchRootContext.set(new SwitchRootState(opts))}opts;attachment;constructor(opts){this.opts=opts,this.attachment=attachRef(opts.ref),this.onkeydown=this.onkeydown.bind(this),this.onclick=this.onclick.bind(this)}#toggle(){this.opts.checked.current=!this.opts.checked.current}onkeydown(e){!(e.key===ENTER||e.key===SPACE)||this.opts.disabled.current||(e.preventDefault(),this.#toggle())}onclick(_){this.opts.disabled.current||this.#toggle()}#sharedProps=user_derived(()=>({"data-disabled":boolToEmptyStrOrUndef(
+this.opts.disabled.current),"data-state":getDataChecked(this.opts.checked.current),"data-required":boolToEmptyStrOrUndef(this.opts.required.current)}));get sharedProps(){return get$3(this.#sharedProps)}set sharedProps(value){set$1(this.#sharedProps,value)}#snippetProps=user_derived(()=>({checked:this.opts.checked.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.sharedProps,id:this.opts.id.current,
+role:"switch",disabled:boolToTrueOrUndef(this.opts.disabled.current),"aria-checked":getAriaChecked(this.opts.checked.current,!1),"aria-required":boolToStr(this.opts.required.current),[switchAttrs.root]:"",onclick:this.onclick,onkeydown:this.onkeydown,...this.attachment}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchInputState{static create(){return new SwitchInputState(SwitchRootContext.get())}root;#shouldRender=user_derived(()=>this.root.opts.name.
+current!==void 0);get shouldRender(){return get$3(this.#shouldRender)}set shouldRender(value){set$1(this.#shouldRender,value)}constructor(root2){this.root=root2}#props=user_derived(()=>({type:"checkbox",name:this.root.opts.name.current,value:this.root.opts.value.current,checked:this.root.opts.checked.current,disabled:this.root.opts.disabled.current,required:this.root.opts.required.current}));get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class SwitchThumbState{static create(opts){
+return new SwitchThumbState(opts,SwitchRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(opts.ref)}#snippetProps=user_derived(()=>({checked:this.root.opts.checked.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({...this.root.sharedProps,id:this.opts.id.current,[switchAttrs.thumb]:"",...this.attachment}));get props(){return get$3(this.#props)}set props(value){
+set$1(this.#props,value)}}function Switch_input($$anchor,$$props){push$1($$props,!1);const inputState=SwitchInputState.create();init();var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Hidden_input($$anchor2,spread_props(()=>inputState.props))};if_block(node2,$$render=>{inputState.shouldRender&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$1h=from_html("<button><!></button>"),root$1U=from_html("<!> <!>",1);function Switch$1($$anchor,$$props){const uid2=props_id();
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),disabled=prop($$props,"disabled",3,!1),required2=prop($$props,"required",3,!1),checked=prop($$props,"checked",15,!1),value=prop($$props,"value",3,"on"),name=prop($$props,"name",3,void 0),type2=prop($$props,"type",3,"button"),onCheckedChange=prop($$props,"onCheckedChange",3,noop$1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id","disabled","required","ch\
+ecked","value","name","type","onCheckedChange"]);const rootState=SwitchRootState.create({checked:boxWith$1(()=>checked(),v=>{checked(v),onCheckedChange()?.(v)}),disabled:boxWith$1(()=>disabled()??!1),required:boxWith$1(()=>required2()),value:boxWith$1(()=>value()),name:boxWith$1(()=>name()),id:boxWith$1(()=>id2()),ref:boxWith$1(()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,rootState.props,{type:type2()}));var fragment=root$1U(),node2=first_child(fragment);{var consequent=$$anchor2=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...rootState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var button=root_2$1h();attribute_effect(button,()=>({...get$3(mergedProps)}));var node_2=child(button);snippet(node_2,()=>$$props.children??noop$3,()=>rootState.snippetProps),reset(button),append($$anchor2,button)};if_block(node2,$$render=>{$$props.child?$$render(
+consequent):$$render(alternate,-1)})}var node_3=sibling(node2,2);Switch_input(node_3,{}),append($$anchor,fragment),pop()}var root_2$1g=from_html("<span><!></span>");function Switch_thumb($$anchor,$$props){const uid2=props_id();push$1($$props,!0);let ref2=prop($$props,"ref",15,null),id2=prop($$props,"id",19,()=>createId(uid2)),restProps=rest_props($$props,["$$slots","$$events","$$legacy","child","children","ref","id"]);const thumbState=SwitchThumbState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(
+()=>ref2(),v=>ref2(v))}),mergedProps=user_derived(()=>mergeProps(restProps,thumbState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>({props:get$3(mergedProps),...thumbState.snippetProps}));snippet(node_1,()=>$$props.child,()=>get$3($0))}append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span=root_2$1g();attribute_effect(span,()=>({...get$3(mergedProps)}));var node_2=child(
+span);snippet(node_2,()=>$$props.children??noop$3,()=>thumbState.snippetProps),reset(span),append($$anchor2,span)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}class TimeoutFn{#interval;#cb;#timer=null;constructor(cb,interval){this.#cb=cb,this.#interval=interval,this.stop=this.stop.bind(this),this.start=this.start.bind(this),onDestroyEffect(this.stop)}#clear(){this.#timer!==null&&(window.clearTimeout(this.#timer),this.#timer=
+null)}stop(){this.#clear()}start(...args){this.#clear(),this.#timer=window.setTimeout(()=>{this.#timer=null,this.#cb(...args)},this.#interval)}}const tooltipAttrs=createBitsAttrs({component:"tooltip",parts:["content","trigger"]}),TooltipProviderContext=new Context$1("Tooltip.Provider"),TooltipRootContext=new Context$1("Tooltip.Root");class TooltipTriggerRegistryState{#triggers=state$1(proxy(new Map));get triggers(){return get$3(this.#triggers)}set triggers(value){set$1(this.#triggers,value,!0)}#activeTriggerId=state$1(
+null);get activeTriggerId(){return get$3(this.#activeTriggerId)}set activeTriggerId(value){set$1(this.#activeTriggerId,value,!0)}#activeTriggerNode=user_derived(()=>{const activeTriggerId=this.activeTriggerId;return activeTriggerId===null?null:this.triggers.get(activeTriggerId)?.node??null});get activeTriggerNode(){return get$3(this.#activeTriggerNode)}set activeTriggerNode(value){set$1(this.#activeTriggerNode,value)}#activePayload=user_derived(()=>{const activeTriggerId=this.activeTriggerId;return activeTriggerId===
+null?null:this.triggers.get(activeTriggerId)?.payload??null});get activePayload(){return get$3(this.#activePayload)}set activePayload(value){set$1(this.#activePayload,value)}register=record2=>{const next2=new Map(this.triggers);next2.set(record2.id,record2),this.triggers=next2,this.#coerceActiveTrigger()};update=record2=>{const next2=new Map(this.triggers);next2.set(record2.id,record2),this.triggers=next2,this.#coerceActiveTrigger()};unregister=id2=>{if(!this.triggers.has(id2))return;const next2=new Map(
+this.triggers);next2.delete(id2),this.triggers=next2,this.activeTriggerId===id2&&(this.activeTriggerId=null)};setActiveTrigger=id2=>{if(id2===null){this.activeTriggerId=null;return}if(!this.triggers.has(id2)){this.activeTriggerId=null;return}this.activeTriggerId=id2};get=id2=>this.triggers.get(id2);has=id2=>this.triggers.has(id2);getFirstTriggerId=()=>{const firstEntry=this.triggers.entries().next();return firstEntry.done?null:firstEntry.value[0]};#coerceActiveTrigger=()=>{const activeTriggerId=this.
+activeTriggerId;activeTriggerId!==null&&(this.triggers.has(activeTriggerId)||(this.activeTriggerId=null))}}class TooltipProviderState{static create(opts){return TooltipProviderContext.set(new TooltipProviderState(opts))}opts;#isOpenDelayed=state$1(!0);get isOpenDelayed(){return get$3(this.#isOpenDelayed)}set isOpenDelayed(value){set$1(this.#isOpenDelayed,value,!0)}isPointerInTransit=simpleBox(!1);#timerFn;#openTooltip=state$1(null);constructor(opts){this.opts=opts,this.#timerFn=new TimeoutFn(()=>{
+this.isOpenDelayed=!0},this.opts.skipDelayDuration.current),onMountEffect(()=>on(window,"scroll",e=>{const activeTooltip=get$3(this.#openTooltip);if(!activeTooltip)return;const triggerNode=activeTooltip.triggerNode;if(!triggerNode)return;const target2=e.target;(target2 instanceof Element||target2 instanceof Document)&&target2.contains(triggerNode)&&activeTooltip.handleClose()}))}#startTimer=()=>{if(this.opts.skipDelayDuration.current===0){this.isOpenDelayed=!0;return}else this.#timerFn.start()};#clearTimer=()=>{
+this.#timerFn.stop()};onOpen=tooltip=>{get$3(this.#openTooltip)&&get$3(this.#openTooltip)!==tooltip&&get$3(this.#openTooltip).handleClose(),this.#clearTimer(),this.isOpenDelayed=!1,set$1(this.#openTooltip,tooltip,!0)};onClose=tooltip=>{get$3(this.#openTooltip)===tooltip&&(set$1(this.#openTooltip,null),this.#startTimer())};isTooltipOpen=tooltip=>get$3(this.#openTooltip)===tooltip}class TooltipRootState{static create(opts){return TooltipRootContext.set(new TooltipRootState(opts,TooltipProviderContext.
+get()))}opts;provider;#delayDuration=user_derived(()=>this.opts.delayDuration.current??this.provider.opts.delayDuration.current);get delayDuration(){return get$3(this.#delayDuration)}set delayDuration(value){set$1(this.#delayDuration,value)}#disableHoverableContent=user_derived(()=>this.opts.disableHoverableContent.current??this.provider.opts.disableHoverableContent.current);get disableHoverableContent(){return get$3(this.#disableHoverableContent)}set disableHoverableContent(value){set$1(this.#disableHoverableContent,
+value)}#disableCloseOnTriggerClick=user_derived(()=>this.opts.disableCloseOnTriggerClick.current??this.provider.opts.disableCloseOnTriggerClick.current);get disableCloseOnTriggerClick(){return get$3(this.#disableCloseOnTriggerClick)}set disableCloseOnTriggerClick(value){set$1(this.#disableCloseOnTriggerClick,value)}#disabled=user_derived(()=>this.opts.disabled.current??this.provider.opts.disabled.current);get disabled(){return get$3(this.#disabled)}set disabled(value){set$1(this.#disabled,value)}#ignoreNonKeyboardFocus=user_derived(
+()=>this.opts.ignoreNonKeyboardFocus.current??this.provider.opts.ignoreNonKeyboardFocus.current);get ignoreNonKeyboardFocus(){return get$3(this.#ignoreNonKeyboardFocus)}set ignoreNonKeyboardFocus(value){set$1(this.#ignoreNonKeyboardFocus,value)}registry;tether;#contentNode=state$1(null);get contentNode(){return get$3(this.#contentNode)}set contentNode(value){set$1(this.#contentNode,value,!0)}contentPresence;#wasOpenDelayed=state$1(!1);#timerFn;#stateAttr=user_derived(()=>this.opts.open.current?get$3(
+this.#wasOpenDelayed)?"delayed-open":"instant-open":"closed");get stateAttr(){return get$3(this.#stateAttr)}set stateAttr(value){set$1(this.#stateAttr,value)}constructor(opts,provider){this.opts=opts,this.provider=provider,this.tether=opts.tether.current?.state??null,this.registry=this.tether?.registry??new TooltipTriggerRegistryState,this.#timerFn=new TimeoutFn(()=>{set$1(this.#wasOpenDelayed,!0),this.opts.open.current=!0},this.delayDuration??0),this.tether&&(this.tether.root=this,onMountEffect(
+()=>()=>{this.tether?.root===this&&(this.tether.root=null)})),this.contentPresence=new PresenceManager({open:this.opts.open,ref:boxWith$1(()=>this.contentNode),onComplete:()=>{this.opts.onOpenChangeComplete.current(this.opts.open.current)}}),watch$1(()=>this.delayDuration,()=>{this.delayDuration!==void 0&&(this.#timerFn=new TimeoutFn(()=>{set$1(this.#wasOpenDelayed,!0),this.opts.open.current=!0},this.delayDuration))}),watch$1(()=>this.opts.open.current,isOpen=>{isOpen?(this.ensureActiveTrigger(),
+this.provider.onOpen(this)):this.provider.onClose(this)},{lazy:!0}),watch$1(()=>this.opts.triggerId.current,triggerId=>{triggerId!==this.registry.activeTriggerId&&this.registry.setActiveTrigger(triggerId)}),watch$1(()=>this.registry.activeTriggerId,activeTriggerId=>{this.opts.triggerId.current!==activeTriggerId&&(this.opts.triggerId.current=activeTriggerId)})}handleOpen=()=>{this.#timerFn.stop(),set$1(this.#wasOpenDelayed,!1),this.ensureActiveTrigger(),this.opts.open.current=!0};handleClose=()=>{
+this.#timerFn.stop(),this.opts.open.current=!1};#handleDelayedOpen=()=>{this.#timerFn.stop();const shouldSkipDelay=!this.provider.isOpenDelayed,delayDuration=this.delayDuration??0;shouldSkipDelay||delayDuration===0?(set$1(this.#wasOpenDelayed,!1),this.opts.open.current=!0):this.#timerFn.start()};onTriggerEnter=triggerId=>{this.setActiveTrigger(triggerId),this.#handleDelayedOpen()};onTriggerLeave=()=>{this.disableHoverableContent?this.handleClose():this.#timerFn.stop()};ensureActiveTrigger=()=>{if(this.
+registry.activeTriggerId!==null&&this.registry.has(this.registry.activeTriggerId))return;if(this.opts.triggerId.current!==null&&this.registry.has(this.opts.triggerId.current)){this.registry.setActiveTrigger(this.opts.triggerId.current);return}const firstTriggerId=this.registry.getFirstTriggerId();this.registry.setActiveTrigger(firstTriggerId)};setActiveTrigger=triggerId=>{this.registry.setActiveTrigger(triggerId)};registerTrigger=trigger=>{this.registry.register(trigger),trigger.disabled&&this.registry.
+activeTriggerId===trigger.id&&this.opts.open.current&&this.handleClose()};updateTrigger=trigger=>{this.registry.update(trigger),trigger.disabled&&this.registry.activeTriggerId===trigger.id&&this.opts.open.current&&this.handleClose()};unregisterTrigger=id2=>{const isActive=this.registry.activeTriggerId===id2;this.registry.unregister(id2),isActive&&this.opts.open.current&&this.handleClose()};isActiveTrigger=triggerId=>this.registry.activeTriggerId===triggerId;get triggerNode(){return this.registry.
+activeTriggerNode}get activePayload(){return this.registry.activePayload}get activeTriggerId(){return this.registry.activeTriggerId}}class TooltipTriggerState{static create(opts){return opts.tether.current?new TooltipTriggerState(opts,null,opts.tether.current.state):new TooltipTriggerState(opts,TooltipRootContext.get(),null)}opts;root;tether;attachment;#isPointerDown=simpleBox(!1);#hasPointerMoveOpened=state$1(!1);domContext;#transitCheckTimeout=null;#mounted=!1;#lastRegisteredId=null;constructor(opts,root2,tether){
+this.opts=opts,this.root=root2,this.tether=tether,this.domContext=new DOMContext(opts.ref),this.attachment=attachRef(this.opts.ref,v=>this.#register(v)),watch$1(()=>this.opts.id.current,()=>{this.#register(this.opts.ref.current)}),watch$1(()=>this.opts.payload.current,()=>{this.#register(this.opts.ref.current)}),watch$1(()=>this.opts.disabled.current,()=>{this.#register(this.opts.ref.current)}),onMountEffect(()=>(this.#mounted=!0,this.#register(this.opts.ref.current),()=>{const root3=this.#getRoot(),
+id2=this.#lastRegisteredId;id2&&(this.tether?this.tether.registry.unregister(id2):root3?.unregisterTrigger(id2)),this.#lastRegisteredId=null,this.#mounted=!1}))}#getRoot=()=>this.tether?.root??this.root;#isDisabled=()=>{const root2=this.#getRoot();return this.opts.disabled.current||!!root2?.disabled};#register=node2=>{if(!this.#mounted)return;const id2=this.opts.id.current,payload=this.opts.payload.current,disabled=this.opts.disabled.current;if(this.#lastRegisteredId&&this.#lastRegisteredId!==id2){
+const root3=this.#getRoot();this.tether?this.tether.registry.unregister(this.#lastRegisteredId):root3?.unregisterTrigger(this.#lastRegisteredId)}const triggerRecord={id:id2,node:node2,payload,disabled},root2=this.#getRoot();this.tether?(this.tether.registry.has(id2)?this.tether.registry.update(triggerRecord):this.tether.registry.register(triggerRecord),disabled&&this.tether.registry.activeTriggerId===id2&&root2?.opts.open.current&&root2.handleClose()):root2?.registry.has(id2)?root2.updateTrigger(
+triggerRecord):root2?.registerTrigger(triggerRecord),this.#lastRegisteredId=id2};#clearTransitCheck=()=>{this.#transitCheckTimeout!==null&&(clearTimeout(this.#transitCheckTimeout),this.#transitCheckTimeout=null)};handlePointerUp=()=>{this.#isPointerDown.current=!1};#onpointerup=()=>{this.#isDisabled()||(this.#isPointerDown.current=!1)};#onpointerdown=()=>{this.#isDisabled()||(this.#isPointerDown.current=!0,this.domContext.getDocument().addEventListener("pointerup",()=>{this.handlePointerUp()},{once:!0}))};#onpointerenter=e=>{
+const root2=this.#getRoot();if(root2){if(this.#isDisabled()){root2.opts.open.current&&root2.handleClose();return}if(e.pointerType!=="touch"){if(root2.provider.isPointerInTransit.current){this.#clearTransitCheck(),this.#transitCheckTimeout=window.setTimeout(()=>{root2.provider.isPointerInTransit.current&&(root2.provider.isPointerInTransit.current=!1,root2.onTriggerEnter(this.opts.id.current),set$1(this.#hasPointerMoveOpened,!0))},250);return}root2.onTriggerEnter(this.opts.id.current),set$1(this.#hasPointerMoveOpened,
+!0)}}};#onpointermove=e=>{const root2=this.#getRoot();if(root2){if(this.#isDisabled()){root2.opts.open.current&&root2.handleClose();return}e.pointerType!=="touch"&&(get$3(this.#hasPointerMoveOpened)||(this.#clearTransitCheck(),root2.provider.isPointerInTransit.current=!1,root2.onTriggerEnter(this.opts.id.current),set$1(this.#hasPointerMoveOpened,!0)))}};#onpointerleave=e=>{const root2=this.#getRoot();if(!root2||this.#isDisabled())return;if(this.#clearTransitCheck(),!root2.isActiveTrigger(this.opts.
+id.current)){set$1(this.#hasPointerMoveOpened,!1);return}const relatedTarget=e.relatedTarget;if(isElement$1(relatedTarget)){for(const record2 of root2.registry.triggers.values())if(record2.node===relatedTarget){if(root2.provider.opts.skipDelayDuration.current>0){set$1(this.#hasPointerMoveOpened,!1);return}root2.handleClose(),set$1(this.#hasPointerMoveOpened,!1);return}}root2.onTriggerLeave(),set$1(this.#hasPointerMoveOpened,!1)};#onfocus=e=>{const root2=this.#getRoot();if(root2&&!this.#isPointerDown.
+current){if(this.#isDisabled()){root2.opts.open.current&&root2.handleClose();return}root2.ignoreNonKeyboardFocus&&!isFocusVisible(e.currentTarget)||(root2.setActiveTrigger(this.opts.id.current),root2.handleOpen())}};#onblur=()=>{const root2=this.#getRoot();!root2||this.#isDisabled()||root2.handleClose()};#onclick=()=>{const root2=this.#getRoot();!root2||root2.disableCloseOnTriggerClick||this.#isDisabled()||root2.handleClose()};#props=user_derived(()=>{const root2=this.#getRoot(),isOpenForTrigger=!!(root2?.
+opts.open.current&&root2.isActiveTrigger(this.opts.id.current)),isDisabled=this.#isDisabled();return{id:this.opts.id.current,"aria-describedby":isOpenForTrigger?root2?.contentNode?.id:void 0,"data-state":isOpenForTrigger?root2?.stateAttr:"closed","data-disabled":boolToEmptyStrOrUndef(isDisabled),"data-delay-duration":`${root2?.delayDuration??0}`,[tooltipAttrs.trigger]:"",tabindex:isDisabled?void 0:this.opts.tabindex.current,disabled:this.opts.disabled.current,onpointerup:this.#onpointerup,onpointerdown:this.#onpointerdown,
+onpointerenter:this.#onpointerenter,onpointermove:this.#onpointermove,onpointerleave:this.#onpointerleave,onfocus:this.#onfocus,onblur:this.#onblur,onclick:this.#onclick,...this.attachment}});get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value)}}class TooltipContentState{static create(opts){return new TooltipContentState(opts,TooltipRootContext.get())}opts;root;attachment;constructor(opts,root2){this.opts=opts,this.root=root2,this.attachment=attachRef(this.opts.ref,v=>this.
+root.contentNode=v),new SafePolygon({triggerNode:()=>this.root.triggerNode,contentNode:()=>this.root.contentNode,enabled:()=>this.root.opts.open.current&&!this.root.disableHoverableContent,transitIntentTimeout:180,ignoredTargets:()=>{if(this.root.provider.opts.skipDelayDuration.current===0)return[];const nodes2=[],activeTriggerNode=this.root.triggerNode;for(const record2 of this.root.registry.triggers.values())record2.node&&record2.node!==activeTriggerNode&&nodes2.push(record2.node);return nodes2},
+onPointerExit:()=>{this.root.provider.isTooltipOpen(this.root)&&this.root.handleClose()}})}onInteractOutside=e=>{if(isElement$1(e.target)&&this.root.triggerNode?.contains(e.target)&&this.root.disableCloseOnTriggerClick){e.preventDefault();return}this.opts.onInteractOutside.current(e),!e.defaultPrevented&&this.root.handleClose()};onEscapeKeydown=e=>{this.opts.onEscapeKeydown.current?.(e),!e.defaultPrevented&&this.root.handleClose()};onOpenAutoFocus=e=>{e.preventDefault()};onCloseAutoFocus=e=>{e.preventDefault()};get shouldRender(){
+return this.root.contentPresence.shouldRender}#snippetProps=user_derived(()=>({open:this.root.opts.open.current}));get snippetProps(){return get$3(this.#snippetProps)}set snippetProps(value){set$1(this.#snippetProps,value)}#props=user_derived(()=>({id:this.opts.id.current,"data-state":this.root.stateAttr,"data-disabled":boolToEmptyStrOrUndef(this.root.disabled),...getDataTransitionAttrs(this.root.contentPresence.transitionStatus),style:{outline:"none"},[tooltipAttrs.content]:"",...this.attachment}));get props(){
+return get$3(this.#props)}set props(value){set$1(this.#props,value)}popperProps={onInteractOutside:this.onInteractOutside,onEscapeKeydown:this.onEscapeKeydown,onOpenAutoFocus:this.onOpenAutoFocus,onCloseAutoFocus:this.onCloseAutoFocus}}function Tooltip($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),triggerId=prop($$props,"triggerId",15,null),onOpenChange=prop($$props,"onOpenChange",3,noop$1),onOpenChangeComplete=prop($$props,"onOpenChangeComplete",3,noop$1);const rootState=TooltipRootState.
+create({open:boxWith$1(()=>open2(),v=>{open2(v),onOpenChange()(v)}),triggerId:boxWith$1(()=>triggerId(),v=>{triggerId(v)}),delayDuration:boxWith$1(()=>$$props.delayDuration),disableCloseOnTriggerClick:boxWith$1(()=>$$props.disableCloseOnTriggerClick),disableHoverableContent:boxWith$1(()=>$$props.disableHoverableContent),ignoreNonKeyboardFocus:boxWith$1(()=>$$props.ignoreNonKeyboardFocus),disabled:boxWith$1(()=>$$props.disabled),onOpenChangeComplete:boxWith$1(()=>onOpenChangeComplete()),tether:boxWith$1(
+()=>$$props.tether)});Floating_layer($$anchor,{tooltip:!0,children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3,()=>({open:rootState.opts.open.current,triggerId:rootState.activeTriggerId,payload:rootState.activePayload})),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root_4$G=from_html("<div><div><!></div></div>"),root_8$t=from_html("<div><div><!></div></div>");function Tooltip_content$1($$anchor,$$props){
+const uid2=props_id();push$1($$props,!0);let id2=prop($$props,"id",19,()=>createId(uid2)),ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"top"),sideOffset=prop($$props,"sideOffset",3,0),align=prop($$props,"align",3,"center"),avoidCollisions=prop($$props,"avoidCollisions",3,!0),arrowPadding=prop($$props,"arrowPadding",3,0),sticky=prop($$props,"sticky",3,"partial"),hideWhenDetached=prop($$props,"hideWhenDetached",3,!1),collisionPadding=prop($$props,"collisionPadding",3,0),onInteractOutside=prop(
+$$props,"onInteractOutside",3,noop$1),onEscapeKeydown=prop($$props,"onEscapeKeydown",3,noop$1),forceMount=prop($$props,"forceMount",3,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","children","child","id","ref","side","sideOffset","align","avoidCollisions","arrowPadding","sticky","strategy","hideWhenDetached","customAnchor","collisionPadding","onInteractOutside","onEscapeKeydown","forceMount","style"]);const contentState=TooltipContentState.create({id:boxWith$1(()=>id2()),ref:boxWith$1(
+()=>ref2(),v=>ref2(v)),onInteractOutside:boxWith$1(()=>onInteractOutside()),onEscapeKeydown:boxWith$1(()=>onEscapeKeydown())}),floatingProps=user_derived(()=>({side:side(),sideOffset:sideOffset(),align:align(),avoidCollisions:avoidCollisions(),arrowPadding:arrowPadding(),sticky:sticky(),hideWhenDetached:hideWhenDetached(),collisionPadding:collisionPadding(),strategy:$$props.strategy,customAnchor:$$props.customAnchor??contentState.root.triggerNode})),mergedProps=user_derived(()=>mergeProps(restProps,
+get$3(floatingProps),contentState.props));var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor4=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);{let $02=user_derived(
+()=>({props:get$3(finalProps),wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_2,()=>$$props.child,()=>get$3($02))}append($$anchor4,fragment_3)},alternate=$$anchor4=>{var div=root_4$G();attribute_effect(div,()=>({...wrapperProps()}));var div_1=child(div);attribute_effect(div_1,()=>({...get$3(finalProps)}));var node_3=child(div_1);snippet(node_3,()=>$$props.children??noop$3),reset(div_1),reset(div),append($$anchor4,div)};if_block(node_1,$$render=>{$$props.child?$$render(consequent):
+$$render(alternate,-1)})}append($$anchor3,fragment_2)};let $0=user_derived(()=>contentState.root.disableHoverableContent?"none":"auto");Popper_layer_force_mount($$anchor2,spread_props(()=>get$3(mergedProps),()=>contentState.popperProps,{get enabled(){return contentState.root.opts.open.current},get id(){return id2()},trapFocus:!1,loop:!1,preventScroll:!1,forceMount:!0,get ref(){return contentState.opts.ref},tooltip:!0,get shouldRender(){return contentState.shouldRender},get contentPointerEvents(){
+return get$3($0)},popper,$$slots:{popper:!0}}))}},consequent_3=$$anchor2=>{{const popper=($$anchor3,$$arg0)=>{let props=()=>$$arg0?.().props,wrapperProps=()=>$$arg0?.().wrapperProps;const finalProps=user_derived(()=>mergeProps(props(),{style:getFloatingContentCSSVars("tooltip")},{style:$$props.style}));var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor4=>{var fragment_6=comment$2(),node_5=first_child(fragment_6);{let $02=user_derived(()=>({props:get$3(finalProps),
+wrapperProps:wrapperProps(),...contentState.snippetProps}));snippet(node_5,()=>$$props.child,()=>get$3($02))}append($$anchor4,fragment_6)},alternate_1=$$anchor4=>{var div_2=root_8$t();attribute_effect(div_2,()=>({...wrapperProps()}));var div_3=child(div_2);attribute_effect(div_3,()=>({...get$3(finalProps)}));var node_6=child(div_3);snippet(node_6,()=>$$props.children??noop$3),reset(div_3),reset(div_2),append($$anchor4,div_2)};if_block(node_4,$$render=>{$$props.child?$$render(consequent_2):$$render(
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+!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M9 18v-6H5l7-7 7 7h-4v6H9z"}]];Icon($$anchor,spread_props({name:"arrow-big-up"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Arrow_right($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,
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+["path",{d:"m9 18 6-6-6-6"}]];Icon($$anchor,spread_props({name:"chevron-right"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Chevrons_up_down($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m7 15 5 5 5-5"}],["path",{
+d:"m7 9 5-5 5 5"}]];Icon($$anchor,spread_props({name:"chevrons-up-down"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Circle_alert($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["line",{x1:"\
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+["circle",{cx:"12",cy:"12",r:"10"}],["polyline",{points:"12 6 12 12 16 14"}]];Icon($$anchor,spread_props({name:"clock"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Code($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"\
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+rx:"2",ry:"2"}],["path",{d:"M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2"}]];Icon($$anchor,spread_props({name:"copy"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Database($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[
+["ellipse",{cx:"12",cy:"5",rx:"9",ry:"3"}],["path",{d:"M3 5V19A9 3 0 0 0 21 19V5"}],["path",{d:"M3 12A9 3 0 0 0 21 12"}]];Icon($$anchor,spread_props({name:"database"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Download($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots",
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+$$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"1"}],["circle",{cx:"19",cy:"12",r:"1"}],["circle",{cx:"5",cy:"12",r:"1"}]];Icon($$anchor,spread_props({name:"ellipsis"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function External_link($$anchor,$$props){push$1($$props,
+!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 3h6v6"}],["path",{d:"M10 14 21 3"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"}]];Icon($$anchor,spread_props({name:"external-link"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Eye($$anchor,$$props){
+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M2.062 12.348a1 1 0 0 1 0-.696 10.75 10.75 0 0 1 19.876 0 1 1 0 0 1 0 .696 10.75 10.75 0 0 1-19.876 0"}],["circle",{cx:"12",cy:"12",r:"3"}]];Icon($$anchor,spread_props({name:"eye"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},
+$$slots:{default:!0}})),pop()}function File_text($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"M10 9H8"}],["path",{d:"M16 13H8"}],["path",{d:"M16 17H8"}]];Icon($$anchor,spread_props({name:"file-text"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),
+node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File_x($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}],["path",{d:"m14.5 12.5-5 5"}],["path",{d:"m9.5 12.5 5 5"}]];Icon($$anchor,spread_props({name:"file-x"},()=>props,{get iconNode(){
+return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function File$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4"}]];Icon($$anchor,spread_props({name:"file"},
+()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Flask_conical($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M14 2v6a2 2 0 0 0 .245.96l5.51 10.08A2 2 0 0 1 18 22H6a2 2 0 0 1-1.755-2.96l5.51-10.08A2 2 0 0 0 10 8V2"}],["\
+path",{d:"M6.453 15h11.094"}],["path",{d:"M8.5 2h7"}]];Icon($$anchor,spread_props({name:"flask-conical"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Folder_open($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m6 14 \
+1.5-2.9A2 2 0 0 1 9.24 10H20a2 2 0 0 1 1.94 2.5l-1.54 6a2 2 0 0 1-1.95 1.5H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H18a2 2 0 0 1 2 2v2"}]];Icon($$anchor,spread_props({name:"folder-open"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Funnel($$anchor,$$props){push$1(
+$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M10 20a1 1 0 0 0 .553.895l2 1A1 1 0 0 0 14 21v-7a2 2 0 0 1 .517-1.341L21.74 4.67A1 1 0 0 0 21 3H3a1 1 0 0 0-.742 1.67l7.225 7.989A2 2 0 0 1 10 14z"}]];Icon($$anchor,spread_props({name:"funnel"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},
+$$slots:{default:!0}})),pop()}function Gauge($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m12 14 4-4"}],["path",{d:"M3.34 19a10 10 0 1 1 17.32 0"}]];Icon($$anchor,spread_props({name:"gauge"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),
+pop()}function Git_branch($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["line",{x1:"6",x2:"6",y1:"3",y2:"15"}],["circle",{cx:"18",cy:"6",r:"3"}],["circle",{cx:"6",cy:"18",r:"3"}],["path",{d:"M18 9a9 9 0 0 1-9 9"}]];Icon($$anchor,spread_props({name:"git-branch"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??
+noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Globe($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["path",{d:"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20"}],["path",{d:"M2 12h20"}]];Icon($$anchor,spread_props({name:"globe"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);
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+ 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z"}]];Icon($$anchor,spread_props({name:"heart"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Image$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",
+rx:"2",ry:"2"}],["circle",{cx:"9",cy:"9",r:"2"}],["path",{d:"m21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21"}]];Icon($$anchor,spread_props({name:"image"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Info$1($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legac\
+y"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"10"}],["path",{d:"M12 16v-4"}],["path",{d:"M12 8h.01"}]];Icon($$anchor,spread_props({name:"info"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Key($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);
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+$$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83z"}],["path",{d:"M2 12a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 0 0 22 12"}],["path",{d:"M2 17a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 0 0 22 17"}]];Icon($$anchor,spread_props({name:"layers"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),
+node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function List_checks($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"m3 17 2 2 4-4"}],["path",{d:"m3 7 2 2 4-4"}],["path",{d:"M13 6h8"}],["path",{d:"M13 12h8"}],["path",{d:"M13 18h8"}]];Icon($$anchor,spread_props({name:"list-checks"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{
+var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function List_restart($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M21 6H3"}],["path",{d:"M7 12H3"}],["path",{d:"M7 18H3"}],["path",{d:"M12 18a5 5 0 0 0 9-3 4.5 4.5 0 0 0-4.5-4.5c-1.33 0-2.54.54-3.41 1.41L11 14"}],["path",{d:"M11 10v4h4"}]];Icon($$anchor,
+spread_props({name:"list-restart"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Loader_circle($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M21 12a9 9 0 1 1-6.219-8.56"}]];Icon($$anchor,spread_props({name:"loader-c\
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+spread_props({name:"moon"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Music($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M9 18V5l12-2v13"}],["circle",{cx:"6",cy:"18",r:"3"}],["circle",{cx:"18",cy:"16",r:"3"}]];Icon(
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+$$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2"}],["path",{d:"M9 3v18"}],["path",{d:"m16 15-3-3 3-3"}]];Icon($$anchor,spread_props({name:"panel-left-close"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Panel_left($$anchor,$$props){push$1(
+$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2"}],["path",{d:"M9 3v18"}]];Icon($$anchor,spread_props({name:"panel-left"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Pencil_ruler($$anchor,$$props){push$1(
+$$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M13 7 8.7 2.7a2.41 2.41 0 0 0-3.4 0L2.7 5.3a2.41 2.41 0 0 0 0 3.4L7 13"}],["path",{d:"m8 6 2-2"}],["path",{d:"m18 16 2-2"}],["path",{d:"m17 11 4.3 4.3c.94.94.94 2.46 0 3.4l-2.6 2.6c-.94.94-2.46.94-3.4 0L11 17"}],["path",{d:"M21.174 6.812a1 1 0 0 0-3.986-3.987L3.842 16.174a2 2 0 0 0-.5.83l-1.321 4.352a.5.5 0 0 0 .623.622l4.353-1.32a2 2 0 0 0 .83-.497z"}],["path",{d:"m15 5 4 4"}]];Icon($$anchor,
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+["path",{d:"M12 2v10"}],["path",{d:"M18.4 6.6a9 9 0 1 1-12.77.04"}]];Icon($$anchor,spread_props({name:"power"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Radio($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M4.9 1\
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+push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M3 12a9 9 0 0 1 9-9 9.75 9.75 0 0 1 6.74 2.74L21 8"}],["path",{d:"M21 3v5h-5"}],["path",{d:"M21 12a9 9 0 0 1-9 9 9.75 9.75 0 0 1-6.74-2.74L3 16"}],["path",{d:"M8 16H3v5"}]];Icon($$anchor,spread_props({name:"refresh-cw"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??
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+noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Server($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["rect",{width:"20",height:"8",x:"2",y:"2",rx:"2",ry:"2"}],["rect",{width:"20",height:"8",x:"2",y:"14",rx:"2",ry:"2"}],["line",{x1:"6",x2:"6.01",y1:"6",y2:"6"}],["line",{x1:"6",x2:"6.01",y1:"18",y2:"18"}]];Icon($$anchor,spread_props({name:"server"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{
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+$$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Sun($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["circle",{cx:"12",cy:"12",r:"4"}],["path",{d:"M12 2v2"}],["path",{d:"M12 20v2"}],["path",{d:"m4.93 4.93 1.41 1.41"}],["path",{d:"m17.66 17.66 1.41 1.41"}],["path",{d:"M2 12h2"}],["path",{d:"M20 12h2"}],["path",{d:"m6.34 17.66-1.41 1.41"}],["path",{d:"m19.07 4.93-1.41 1.41"}]];Icon($$anchor,spread_props({name:"sun"},
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+default:!0}})),pop()}function Upload($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M12 3v12"}],["path",{d:"m17 8-5-5-5 5"}],["path",{d:"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"}]];Icon($$anchor,spread_props({name:"upload"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,
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+node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Wrench($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"}]];Icon($$anchor,spread_props({name:"wrench"},()=>props,{get iconNode(){
+return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function X($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M18 6 6 18"}],["path",{d:"m6 6 12 12"}]];Icon($$anchor,spread_props({name:"x"},()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{
+var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Zap($$anchor,$$props){push$1($$props,!0);let props=rest_props($$props,["$$slots","$$events","$$legacy"]);const iconNode=[["path",{d:"M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z"}]];Icon($$anchor,spread_props({name:"zap"},
+()=>props,{get iconNode(){return iconNode},children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);snippet(node2,()=>$$props.children??noop$3),append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}const ATTACHMENT_SAVED_REGEX=/\[Attachment saved: ([^\]]+)\]/,NEWLINE_SEPARATOR=`
+`,LLM_ERROR_BLOCK_START=`
 
 \`\`\`
 Upstream LLM error:
-`,eO="\n```\n",yS={enabled:!0,maxTurns:100,maxToolPreviewLines:25},kre={START:"<<<reasoning_content_start>>>"},cf={COMPLETED_TOOL_CALL:/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,REASONING_BLOCK:/<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,REASONING_EXTRACT:/<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/,REASONING_OPEN:/<<<reasoning_content_start>>>[\s\S]*$/,AGENTIC_TOOL_CALL_OPEN:/\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,HAS_LEGACY_MARKERS:/<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/},o0={LIST:"/v1/models",LOAD:"/models/load",UNLOAD:"/models/unload"},zU="/cors-proxy",Mre="PDF File",Dre="MCP Prompt",Pre="MCP Resource",tO=100,Lre=10,Fre={prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},qU=300*1e3,Bre=100,Ure=600*1e3,$re=50,Gre=50,zre=300*1e3,qre=10,Hre=1800*1e3,Vre=0,Yre=`
+`,LLM_ERROR_BLOCK_END="\n```\n",DEFAULT_AGENTIC_CONFIG={enabled:!0,maxTurns:100,maxToolPreviewLines:25},REASONING_TAGS={START:"<think>",END:"</think>"},LEGACY_REASONING_TAGS={START:"<<<reasoning_content_start>>>"},LEGACY_AGENTIC_REGEX={COMPLETED_TOOL_CALL:/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,REASONING_BLOCK:/<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,REASONING_EXTRACT:/<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/,
+REASONING_OPEN:/<<<reasoning_content_start>>>[\s\S]*$/,AGENTIC_TOOL_CALL_OPEN:/\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,HAS_LEGACY_MARKERS:/<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/},API_MODELS={LIST:"/v1/models",LOAD:"/models/load",UNLOAD:"/models/unload"},API_TOOLS={LIST:"/tools",EXECUTE:"/tools"},CORS_PROXY_ENDPOINT="/cors-proxy",ATTACHMENT_LABEL_PDF_FILE="PDF File",ATTACHMENT_LABEL_MCP_PROMPT="MCP Prompt",ATTACHMENT_LABEL_MCP_RESOURCE="MCP Resource",FILE_TYPE_ICONS={[FileTypeCategory.
+IMAGE]:Image$1,[FileTypeCategory.AUDIO]:Mic,[FileTypeCategory.TEXT]:File_text,[FileTypeCategory.PDF]:File$1},ATTACHMENT_FILE_ITEMS=[{id:AttachmentMenuItemId.IMAGES,label:"Images",icon:FILE_TYPE_ICONS.image,class:"images-button",enabledWhen:AttachmentItemEnabledWhen.HAS_VISION_MODALITY,disabledTooltip:"Image processing requires a vision model",action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.AUDIO,label:"Audio Files",icon:FILE_TYPE_ICONS.audio,class:"audio-button",enabledWhen:AttachmentItemEnabledWhen.
+HAS_AUDIO_MODALITY,disabledTooltip:"Audio files processing requires an audio model",action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.TEXT,label:"Text Files",icon:FILE_TYPE_ICONS.text,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.FILE_UPLOAD},{id:AttachmentMenuItemId.PDF,label:"PDF Files",icon:FILE_TYPE_ICONS.pdf,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,disabledTooltip:"PDFs will be converted to text. Image-based PDFs may not work properly.",hasEnabledTooltip:!0,
+action:AttachmentAction.FILE_UPLOAD}],ATTACHMENT_EXTRA_ITEMS=[{id:AttachmentMenuItemId.SYSTEM_MESSAGE,label:"System Message",icon:Message_square,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,hasEnabledTooltip:!0,action:AttachmentAction.SYSTEM_PROMPT_CLICK}],ATTACHMENT_MCP_ITEMS=[{id:AttachmentMenuItemId.MCP_PROMPT,label:"MCP Prompt",icon:Zap,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.MCP_PROMPT_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_PROMPTS_SUPPORT},{id:AttachmentMenuItemId.
+MCP_RESOURCES,label:"MCP Resources",icon:Folder_open,enabledWhen:AttachmentItemEnabledWhen.ALWAYS,action:AttachmentAction.MCP_RESOURCES_CLICK,visibleWhen:AttachmentItemVisibleWhen.HAS_MCP_RESOURCES_SUPPORT}],ATTACHMENT_TOOLTIP_TEXT="Add files, prompts, tools or MCP Servers",AUTO_SCROLL_INTERVAL=100,AUTO_SCROLL_AT_BOTTOM_THRESHOLD=10,DEFAULT_BINARY_DETECTION_OPTIONS={prefixLength:1024*10,suspiciousCharThresholdRatio:.15,maxAbsoluteNullBytes:2},DEFAULT_CACHE_TTL_MS=300*1e3,DEFAULT_CACHE_MAX_ENTRIES=100,
+MODEL_PROPS_CACHE_TTL_MS=600*1e3,MODEL_PROPS_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_MAX_ENTRIES=50,MCP_RESOURCE_CACHE_TTL_MS=300*1e3,MAX_INACTIVE_CONVERSATION_STATES=10,INACTIVE_CONVERSATION_STATE_MAX_AGE_MS=1800*1e3,INITIAL_FILE_SIZE=0,PROMPT_CONTENT_SEPARATOR=`
 
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+`,CLIPBOARD_CONTENT_QUOTE_PREFIX='"',PROMPT_TRIGGER_PREFIX="/",RESOURCE_TRIGGER_PREFIX="@",NEW_CHAT_DRAFT_KEY="__new_chat__",CODE_BLOCK_SCROLL_CONTAINER_CLASS="code-block-scroll-container",CODE_BLOCK_WRAPPER_CLASS="code-block-wrapper",CODE_BLOCK_HEADER_CLASS="code-block-header",CODE_BLOCK_ACTIONS_CLASS="code-block-actions",CODE_LANGUAGE_CLASS="code-language",COPY_CODE_BTN_CLASS="copy-code-btn",PREVIEW_CODE_BTN_CLASS="preview-code-btn",RELATIVE_CLASS="relative",NEWLINE=`
+`,DEFAULT_LANGUAGE="text",LANG_PATTERN=/^(\w*)\n?/,AMPERSAND_REGEX=/&/g,LT_REGEX=/</g,GT_REGEX=/>/g,FENCE_PATTERN=/^```|\n```/g,CONTEXT_KEY_MESSAGE_EDIT="chat-message-edit",CONTEXT_KEY_CHAT_ACTIONS="chat-actions",CONTEXT_KEY_CHAT_SETTINGS_CONFIG="chat-settings-config",CONTEXT_KEY_PROCESSING_INFO="processing-info",BOX_BORDER="border border-border/30 focus-within:border-border  dark:border-border/20 dark:focus-within:border-border",INPUT_CLASSES=`
     bg-muted/60 dark:bg-muted/75
-    ${HU}
+    ${BOX_BORDER}
     shadow-sm
     outline-none
     text-foreground
-`,dne=`
+`,PANEL_CLASSES=`
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     border border-border/30 dark:border-border/20
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-`,hne="max-h-80",fne="https://www.google.com/s2/favicons",pne=32,aO=".",iO=2,y_=1e3,sO=60,oO=3600,mne=1,gne=10,lO="0s",VU=256,YU=8192,_ne=/[\x00-\x1F\x7F]/g,bne=/[\x00-\x08\x0A-\x0D\x0E-\x1F\x7F]/g,Yo={[Dn.IMAGE]:m4,[Dn.AUDIO]:b4,[Dn.TEXT]:wc,[Dn.PDF]:p4},vne={[qc.VISION]:f4,[qc.AUDIO]:b4},yne={[qc.VISION]:"Vision",[qc.AUDIO]:"Audio"},Sne=/(```[\s\S]*?```|`[^`\n]+`)/g,Ene=new RegExp("(```[\\S\\s]*?```|`.*?`)|(?<!\\\\)\\\\\\[([\\S\\s]*?[^\\\\])\\\\]|(?<!\\\\)\\\\\\((.*?)\\\\\\)","g"),wne=/\$\$([\s\S]*?\\\\[\s\S]*?)\$\$/,Tne=/\r?\n/,Cne=new Set(["paragraph","heading","emphasis","strong","delete","link","linkReference","tableCell"]),WU=" ",Ane=WU.repeat(4),cO="LlamaCppWebui.config",uO="LlamaCppWebui.userOverrides",dO="LlamaCppWebui.favoriteModels",ES="LlamaCppWebui.mcpDefaultEnabled",xne="img:not([data-error-bound])",Rne="errorBound",hO="errorHandled",wS="true",jU="1.0.0",One=ea.PNG,Nne=new Set([ea.PNG,ea.JPEG,ea.JPG,ea.SVG,ea.WEBP]),Ine="2025-06-18",Va={protocolVersion:Ine,capabilities:{tools:{listChanged:!0}},clientInfo:{name:"llama-webui-mcp",version:jU},requestTimeoutSeconds:300,connectionTimeoutMs:1e4},T4="LlamaCpp-WebUI-MCP-Server",kne=1e3,Mne=2,Dne=3e4,fO=15e3,pO=3,Pne=2,Lne="url",Fne={[Os.WEBSOCKET]:"WebSocket",[Os.STREAMABLE_HTTP]:"HTTP",[Os.SSE]:"SSE"},Bne={[Os.WEBSOCKET]:S4,[Os.STREAMABLE_HTTP]:mre,[Os.SSE]:Tre},Une="https://mcp.example.com/sse",$ne=1,KU=/\.(png|jpg|jpeg|gif|svg|webp)$/i,XU=/\.(js|ts|json|yaml|yml|xml|html|css|py|rs|go|java|cpp|c|h|rb|sh|toml)$/i,Gne=/\.(txt|md|log)$/i,zne=/^[a-z]+:\/\//,qne=/\.[^.]+$/,Hne=/[-_]/,Vne=/^data:([^;]+);base64,([A-Za-z0-9+/]+=*)$/,Yne="mcp-attachment",Wne="res",jne="img",QU="resource.txt",Kne="/",Xne=`
+`,CHAT_FORM_POPOVER_MAX_HEIGHT="max-h-80",MS_PER_SECOND=1e3,SECONDS_PER_MINUTE=60,SECONDS_PER_HOUR=3600,SHORT_DURATION_THRESHOLD=1,MEDIUM_DURATION_THRESHOLD=10,DEFAULT_PERFORMANCE_TIME="0s",KEY_VALUE_PAIR_KEY_MAX_LENGTH=256,KEY_VALUE_PAIR_VALUE_MAX_LENGTH=8192,KEY_VALUE_PAIR_UNSAFE_KEY_RE=/[\x00-\x1F\x7F]/g,KEY_VALUE_PAIR_UNSAFE_VALUE_RE=/[\x00-\x08\x0A-\x0D\x0E-\x1F\x7F]/g,CODE_BLOCK_REGEXP=/(```[\s\S]*?```|`[^`\n]+`)/g,LATEX_MATH_AND_CODE_PATTERN=new RegExp("(```[\\S\\s]*?```|`.*?`)|(?<!\\\\)\\\\\\[(\
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+LlamaCppWebui.favoriteModels",MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY="LlamaCppWebui.mcpDefaultEnabled",USER_OVERRIDES_LOCALSTORAGE_KEY="LlamaCppWebui.userOverrides",IMAGE_NOT_ERROR_BOUND_SELECTOR="img:not([data-error-bound])",DATA_ERROR_BOUND_ATTR="errorBound",DATA_ERROR_HANDLED_ATTR="errorHandled",BOOL_TRUE_STRING="true",DEFAULT_CLIENT_VERSION="1.0.0",DEFAULT_IMAGE_MIME_TYPE=MimeTypeImage.PNG,MCP_ALLOWED_ICON_MIME_TYPES=new Set([MimeTypeImage.PNG,MimeTypeImage.JPEG,MimeTypeImage.JPG,MimeTypeImage.
+SVG,MimeTypeImage.WEBP,MimeTypeImage.ICO,MimeTypeImage.ICO_MICROSOFT]),MCP_PROTOCOL_VERSION="2025-06-18",DEFAULT_MCP_CONFIG={protocolVersion:MCP_PROTOCOL_VERSION,capabilities:{tools:{listChanged:!0}},clientInfo:{name:"llama-webui-mcp",version:DEFAULT_CLIENT_VERSION},requestTimeoutSeconds:300,connectionTimeoutMs:1e4},MCP_SERVER_ID_PREFIX="LlamaCpp-WebUI-MCP-Server",MCP_RECONNECT_INITIAL_DELAY=1e3,MCP_RECONNECT_BACKOFF_MULTIPLIER=2,MCP_RECONNECT_MAX_DELAY=3e4,MCP_RECONNECT_ATTEMPT_TIMEOUT_MS=15e3,
+EXPECTED_THEMED_ICON_PAIR_COUNT=2,CORS_PROXY_URL_PARAM="url",MCP_SESSION_ID_VISIBLE_CHARS=5,MCP_PARTIAL_REDACT_HEADERS=new Map([["mcp-session-id",MCP_SESSION_ID_VISIBLE_CHARS]]),REDACTED_HEADERS=new Set(["authorization","api-key","cookie","mcp-session-id","proxy-authorization","set-cookie","x-auth-token","x-api-key"]),MCP_TRANSPORT_LABELS={[MCPTransportType.WEBSOCKET]:"WebSocket",[MCPTransportType.STREAMABLE_HTTP]:"HTTP",[MCPTransportType.SSE]:"SSE"},MCP_TRANSPORT_ICONS={[MCPTransportType.WEBSOCKET]:Zap,
+[MCPTransportType.STREAMABLE_HTTP]:Globe,[MCPTransportType.SSE]:Radio},MCP_SERVER_URL_PLACEHOLDER="https://mcp.example.com/sse",MIN_AUTOCOMPLETE_INPUT_LENGTH=1,IMAGE_FILE_EXTENSION_REGEX=/\.(png|jpg|jpeg|gif|svg|webp)$/i,CODE_FILE_EXTENSION_REGEX=/\.(js|ts|json|yaml|yml|xml|html|css|py|rs|go|java|cpp|c|h|rb|sh|toml)$/i,TEXT_FILE_EXTENSION_REGEX=/\.(txt|md|log)$/i,PROTOCOL_PREFIX_REGEX=/^[a-z]+:\/\//,FILE_EXTENSION_REGEX=/\.[^.]+$/,DISPLAY_NAME_SEPARATOR_REGEX=/[-_]/,DATA_URI_BASE64_REGEX=/^data:([^;]+);base64,([A-Za-z0-9+/]+=*)$/,
+MCP_ATTACHMENT_NAME_PREFIX="mcp-attachment",MCP_RESOURCE_ATTACHMENT_ID_PREFIX="res",DEFAULT_IMAGE_EXTENSION="img",DEFAULT_RESOURCE_FILENAME="resource.txt",PATH_SEPARATOR="/",RESOURCE_TEXT_CONTENT_SEPARATOR=`
 
-`,mO="unknown type",gO="Binary content",Qne={[ea.JPEG]:"jpg",[ea.JPG]:"jpg",[ea.PNG]:"png",[ea.GIF]:"gif",[ea.WEBP]:"webp"},Zne=8,Jne=20,eae=19,tae=/[^a-z0-9]/gi,rae="_",nae=/_+/g,ZU="T",aae="_",iae=":",sae="-",rc=-1,oae="/",_O="-",lae=":",bO=/^(I?Q\d+(_[A-Z0-9]+)*|F\d+|BF\d+|MXFP\d+(_[A-Z0-9]+)*)$/i,cae=/^UD$/i,uae=/^\d+(\.\d+)?[BbMmKkTt]$/,dae=/^[Aa]\d+(\.\d+)?[BbMmKkTt]$/,hae=new Set(["GGUF","GGML"]),vO=1e6,fae=2e3,yO={TOKENS_PER_SECOND:"t/s"},dc={apiKey:"",systemMessage:"",showSystemMessage:!0,theme:Pl.SYSTEM,showThoughtInProgress:!1,disableReasoningParsing:!1,excludeReasoningFromContext:!1,showRawOutputSwitch:!1,keepStatsVisible:!1,showMessageStats:!0,askForTitleConfirmation:!1,pasteLongTextToFileLen:2500,copyTextAttachmentsAsPlainText:!1,pdfAsImage:!1,disableAutoScroll:!1,renderUserContentAsMarkdown:!1,alwaysShowSidebarOnDesktop:!1,autoShowSidebarOnNewChat:!0,autoMicOnEmpty:!1,fullHeightCodeBlocks:!1,showRawModelNames:!1,mcpServers:"[]",mcpServerUsageStats:"{}",agenticMaxTurns:10,agenticMaxToolPreviewLines:25,showToolCallInProgress:!1,alwaysShowAgenticTurns:!1,samplers:"",backend_sampling:!1,temperature:void 0,dynatemp_range:void 0,dynatemp_exponent:void 0,top_k:void 0,top_p:void 0,min_p:void 0,xtc_probability:void 0,xtc_threshold:void 0,typ_p:void 0,repeat_last_n:void 0,repeat_penalty:void 0,presence_penalty:void 0,frequency_penalty:void 0,dry_multiplier:void 0,dry_base:void 0,dry_allowed_length:void 0,dry_penalty_last_n:void 0,max_tokens:void 0,custom:"",pyInterpreterEnabled:!1,enableContinueGeneration:!1},lu={apiKey:"Set the API Key if you are using <code>--api-key</code> option for the server.",systemMessage:"The starting message that defines how model should behave.",showSystemMessage:"Display the system message at the top of each conversation.",theme:"Choose the color theme for the interface. You can choose between System (follows your device settings), Light, or Dark.",pasteLongTextToFileLen:"On pasting long text, it will be converted to a file. You can control the file length by setting the value of this parameter. Value 0 means disable.",copyTextAttachmentsAsPlainText:"When copying a message with text attachments, combine them into a single plain text string instead of a special format that can be pasted back as attachments.",samplers:'The order at which samplers are applied, in simplified way. Default is "top_k;typ_p;top_p;min_p;temperature": top_k->typ_p->top_p->min_p->temperature',backend_sampling:"Enable backend-based samplers. When enabled, supported samplers run on the accelerator backend for faster sampling.",temperature:"Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.",dynatemp_range:"Addon for the temperature sampler. The added value to the range of dynamic temperature, which adjusts probabilities by entropy of tokens.",dynatemp_exponent:"Addon for the temperature sampler. Smoothes out the probability redistribution based on the most probable token.",top_k:"Keeps only k top tokens.",top_p:"Limits tokens to those that together have a cumulative probability of at least p",min_p:"Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.",xtc_probability:"XTC sampler cuts out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.",xtc_threshold:"XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.",typ_p:"Sorts and limits tokens based on the difference between log-probability and entropy.",repeat_last_n:"Last n tokens to consider for penalizing repetition",repeat_penalty:"Controls the repetition of token sequences in the generated text",presence_penalty:"Limits tokens based on whether they appear in the output or not.",frequency_penalty:"Limits tokens based on how often they appear in the output.",dry_multiplier:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.",dry_base:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling base value.",dry_allowed_length:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the allowed length for DRY sampling.",dry_penalty_last_n:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.",max_tokens:"The maximum number of token per output. Use -1 for infinite (no limit).",custom:"Custom JSON parameters to send to the API. Must be valid JSON format.",showThoughtInProgress:"Expand thought process by default when generating messages.",disableReasoningParsing:"Send reasoning_format=none to prevent server-side extraction of reasoning tokens into separate field",excludeReasoningFromContext:"Strip reasoning content from previous messages before sending to the model. When unchecked, reasoning is sent back via the reasoning_content field so the model can see its own chain-of-thought across turns.",showRawOutputSwitch:"Show toggle button to display messages as plain text instead of Markdown-formatted content",keepStatsVisible:"Keep processing statistics visible after generation finishes.",showMessageStats:"Display generation statistics (tokens/second, token count, duration) below each assistant message.",askForTitleConfirmation:"Ask for confirmation before automatically changing conversation title when editing the first message.",pdfAsImage:"Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.",disableAutoScroll:"Disable automatic scrolling while messages stream so you can control the viewport position manually.",renderUserContentAsMarkdown:"Render user messages using markdown formatting in the chat.",alwaysShowSidebarOnDesktop:"Always keep the sidebar visible on desktop instead of auto-hiding it.",autoShowSidebarOnNewChat:"Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.",autoMicOnEmpty:"Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.",fullHeightCodeBlocks:"Always display code blocks at their full natural height, overriding any height limits.",showRawModelNames:'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',mcpServers:"Configure MCP servers as a JSON list. Use the form in the MCP Client settings section to edit.",mcpServerUsageStats:"Usage statistics for MCP servers. Tracks how many times tools from each server have been used.",agenticMaxTurns:"Maximum number of tool execution cycles before stopping (prevents infinite loops).",agenticMaxToolPreviewLines:"Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.",showToolCallInProgress:"Automatically expand tool call details while executing and keep them expanded after completion.",pyInterpreterEnabled:"Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.",enableContinueGeneration:'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'},pae=[{value:Pl.SYSTEM,label:"System",icon:PU},{value:Pl.LIGHT,label:"Light",icon:Are},{value:Pl.DARK,label:"Dark",icon:Sre}],mae=["temperature","top_k","top_p","min_p","max_tokens","pasteLongTextToFileLen","dynatemp_range","dynatemp_exponent","typ_p","xtc_probability","xtc_threshold","repeat_last_n","repeat_penalty","presence_penalty","frequency_penalty","dry_multiplier","dry_base","dry_allowed_length","dry_penalty_last_n","agenticMaxTurns","agenticMaxToolPreviewLines"],gae=["agenticMaxTurns","agenticMaxToolPreviewLines"],Hr={THEME:"theme",API_KEY:"apiKey",SYSTEM_MESSAGE:"systemMessage",PASTE_LONG_TEXT_TO_FILE_LEN:"pasteLongTextToFileLen",COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT:"copyTextAttachmentsAsPlainText",ENABLE_CONTINUE_GENERATION:"enableContinueGeneration",PDF_AS_IMAGE:"pdfAsImage",ASK_FOR_TITLE_CONFIRMATION:"askForTitleConfirmation",SHOW_MESSAGE_STATS:"showMessageStats",SHOW_THOUGHT_IN_PROGRESS:"showThoughtInProgress",KEEP_STATS_VISIBLE:"keepStatsVisible",AUTO_MIC_ON_EMPTY:"autoMicOnEmpty",RENDER_USER_CONTENT_AS_MARKDOWN:"renderUserContentAsMarkdown",DISABLE_AUTO_SCROLL:"disableAutoScroll",ALWAYS_SHOW_SIDEBAR_ON_DESKTOP:"alwaysShowSidebarOnDesktop",AUTO_SHOW_SIDEBAR_ON_NEW_CHAT:"autoShowSidebarOnNewChat",FULL_HEIGHT_CODE_BLOCKS:"fullHeightCodeBlocks",SHOW_RAW_MODEL_NAMES:"showRawModelNames",TEMPERATURE:"temperature",DYNATEMP_RANGE:"dynatemp_range",DYNATEMP_EXPONENT:"dynatemp_exponent",TOP_K:"top_k",TOP_P:"top_p",MIN_P:"min_p",XTC_PROBABILITY:"xtc_probability",XTC_THRESHOLD:"xtc_threshold",TYP_P:"typ_p",MAX_TOKENS:"max_tokens",SAMPLERS:"samplers",BACKEND_SAMPLING:"backend_sampling",REPEAT_LAST_N:"repeat_last_n",REPEAT_PENALTY:"repeat_penalty",PRESENCE_PENALTY:"presence_penalty",FREQUENCY_PENALTY:"frequency_penalty",DRY_MULTIPLIER:"dry_multiplier",DRY_BASE:"dry_base",DRY_ALLOWED_LENGTH:"dry_allowed_length",DRY_PENALTY_LAST_N:"dry_penalty_last_n",AGENTIC_MAX_TURNS:"agenticMaxTurns",ALWAYS_SHOW_AGENTIC_TURNS:"alwaysShowAgenticTurns",AGENTIC_MAX_TOOL_PREVIEW_LINES:"agenticMaxToolPreviewLines",SHOW_TOOL_CALL_IN_PROGRESS:"showToolCallInProgress",DISABLE_REASONING_PARSING:"disableReasoningParsing",EXCLUDE_REASONING_FROM_CONTEXT:"excludeReasoningFromContext",SHOW_RAW_OUTPUT_SWITCH:"showRawOutputSwitch",CUSTOM:"custom"},Ss={GENERAL:"General",DISPLAY:"Display",SAMPLING:"Sampling",PENALTIES:"Penalties",IMPORT_EXPORT:"Import/Export",MCP:"MCP",DEVELOPER:"Developer"};u3.MP3+"",Am.MP3,Wa.MP3_MPEG,Wa.MP3,u3.WAV+"",Am.WAV,Wa.WAV;Fh.JPEG+"",Ks.JPG,Ks.JPEG,ea.JPEG,Fh.PNG+"",Ks.PNG,ea.PNG,Fh.GIF+"",Ks.GIF,ea.GIF,Fh.WEBP+"",Ks.WEBP,ea.WEBP,Fh.SVG+"",Ks.SVG,ea.SVG;$U.PDF+"",E4.PDF,xm.PDF;Xr.PLAIN_TEXT+"",Wt.TXT,Pt.PLAIN,Xr.MARKDOWN+"",Wt.MD,Pt.MARKDOWN,Xr.ASCIIDOC+"",Wt.ADOC,Pt.ASCIIDOC,Xr.JAVASCRIPT+"",Wt.JS,Pt.JAVASCRIPT,Pt.JAVASCRIPT_APP,Xr.TYPESCRIPT+"",Wt.TS,Pt.TYPESCRIPT,Xr.JSX+"",Wt.JSX,Pt.JSX,Xr.TSX+"",Wt.TSX,Pt.TSX,Xr.CSS+"",Wt.CSS,Pt.CSS,Xr.HTML+"",Wt.HTML,Wt.HTM,Pt.HTML,Xr.JSON+"",Wt.JSON,Pt.JSON,Xr.XML+"",Wt.XML,Pt.XML_TEXT,Pt.XML_APP,Xr.YAML+"",Wt.YAML,Wt.YML,Pt.YAML_TEXT,Pt.YAML_APP,Xr.CSV+"",Wt.CSV,Pt.CSV,Xr.LOG+"",Wt.LOG,Pt.PLAIN,Xr.PYTHON+"",Wt.PY,Pt.PYTHON,Xr.JAVA+"",Wt.JAVA,Pt.JAVA,Xr.CPP+"",Wt.CPP,Wt.C,Wt.H,Wt.HPP,Pt.CPP_SRC,Pt.CPP_HDR,Pt.C_SRC,Pt.C_HDR,Xr.PHP+"",Wt.PHP,Pt.PHP,Xr.RUBY+"",Wt.RB,Pt.RUBY,Xr.GO+"",Wt.GO,Pt.GO,Xr.RUST+"",Wt.RS,Pt.RUST,Xr.SHELL+"",Wt.SH,Wt.BAT,Pt.SHELL,Pt.BAT,Xr.SQL+"",Wt.SQL,Pt.SQL,Xr.R+"",Wt.R,Pt.R,Xr.SCALA+"",Wt.SCALA,Pt.SCALA,Xr.KOTLIN+"",Wt.KT,Pt.KOTLIN,Xr.SWIFT+"",Wt.SWIFT,Pt.SWIFT,Xr.DART+"",Wt.DART,Pt.DART,Xr.VUE+"",Wt.VUE,Pt.VUE,Xr.SVELTE+"",Wt.SVELTE,Pt.SVELTE,Xr.LATEX+"",Wt.TEX,Pt.LATEX,Pt.TEX,Pt.TEX_APP,Xr.BIBTEX+"",Wt.BIB,Pt.BIBTEX,Xr.CUDA+"",Wt.CU,Wt.CUH,Pt.CUDA,Xr.VULKAN+"",Wt.COMP,Pt.PLAIN,Xr.HASKELL+"",Wt.HS,Pt.HASKELL,Xr.CSHARP+"",Wt.CS,Pt.CSHARP,Xr.PROPERTIES+"",Wt.PROPERTIES,Pt.PROPERTIES;const _ae=/<br\s*\/?\s*>/gi,bae=/^<ul>([\s\S]*)<\/ul>$/i,vae=/<li>([\s\S]*?)<\/li>/gi,Hp=500,yae=8,JU="System message",TS="://",lb=/\{([+#./;?&]?)([^}]+)\}/g,cu={RESERVED:"+",FRAGMENT:"#",PATH_SEGMENT:"/",LABEL:".",PATH_PARAM:";",FORM_QUERY:"?",FORM_CONTINUATION:"&"},bo={COMMA:",",SLASH:"/",PERIOD:".",SEMICOLON:";",QUERY_PREFIX:"?",QUERY_CONTINUATION:"&"},e$=/[*]$/,t$=/:[\d]+$/,Sae=/^\/+/,Eae=768,wp=[{key:"temperature",serverKey:"temperature",type:Vr.NUMBER,canSync:!0},{key:"top_k",serverKey:"top_k",type:Vr.NUMBER,canSync:!0},{key:"top_p",serverKey:"top_p",type:Vr.NUMBER,canSync:!0},{key:"min_p",serverKey:"min_p",type:Vr.NUMBER,canSync:!0},{key:"dynatemp_range",serverKey:"dynatemp_range",type:Vr.NUMBER,canSync:!0},{key:"dynatemp_exponent",serverKey:"dynatemp_exponent",type:Vr.NUMBER,canSync:!0},{key:"xtc_probability",serverKey:"xtc_probability",type:Vr.NUMBER,canSync:!0},{key:"xtc_threshold",serverKey:"xtc_threshold",type:Vr.NUMBER,canSync:!0},{key:"typ_p",serverKey:"typ_p",type:Vr.NUMBER,canSync:!0},{key:"repeat_last_n",serverKey:"repeat_last_n",type:Vr.NUMBER,canSync:!0},{key:"repeat_penalty",serverKey:"repeat_penalty",type:Vr.NUMBER,canSync:!0},{key:"presence_penalty",serverKey:"presence_penalty",type:Vr.NUMBER,canSync:!0},{key:"frequency_penalty",serverKey:"frequency_penalty",type:Vr.NUMBER,canSync:!0},{key:"dry_multiplier",serverKey:"dry_multiplier",type:Vr.NUMBER,canSync:!0},{key:"dry_base",serverKey:"dry_base",type:Vr.NUMBER,canSync:!0},{key:"dry_allowed_length",serverKey:"dry_allowed_length",type:Vr.NUMBER,canSync:!0},{key:"dry_penalty_last_n",serverKey:"dry_penalty_last_n",type:Vr.NUMBER,canSync:!0},{key:"max_tokens",serverKey:"max_tokens",type:Vr.NUMBER,canSync:!0},{key:"samplers",serverKey:"samplers",type:Vr.STRING,canSync:!0},{key:"pasteLongTextToFileLen",serverKey:"pasteLongTextToFileLen",type:Vr.NUMBER,canSync:!0},{key:"pdfAsImage",serverKey:"pdfAsImage",type:Vr.BOOLEAN,canSync:!0},{key:"showThoughtInProgress",serverKey:"showThoughtInProgress",type:Vr.BOOLEAN,canSync:!0},{key:"keepStatsVisible",serverKey:"keepStatsVisible",type:Vr.BOOLEAN,canSync:!0},{key:"showMessageStats",serverKey:"showMessageStats",type:Vr.BOOLEAN,canSync:!0},{key:"askForTitleConfirmation",serverKey:"askForTitleConfirmation",type:Vr.BOOLEAN,canSync:!0},{key:"disableAutoScroll",serverKey:"disableAutoScroll",type:Vr.BOOLEAN,canSync:!0},{key:"renderUserContentAsMarkdown",serverKey:"renderUserContentAsMarkdown",type:Vr.BOOLEAN,canSync:!0},{key:"autoMicOnEmpty",serverKey:"autoMicOnEmpty",type:Vr.BOOLEAN,canSync:!0},{key:"pyInterpreterEnabled",serverKey:"pyInterpreterEnabled",type:Vr.BOOLEAN,canSync:!0},{key:"enableContinueGeneration",serverKey:"enableContinueGeneration",type:Vr.BOOLEAN,canSync:!0},{key:"fullHeightCodeBlocks",serverKey:"fullHeightCodeBlocks",type:Vr.BOOLEAN,canSync:!0},{key:"systemMessage",serverKey:"systemMessage",type:Vr.STRING,canSync:!0},{key:"showSystemMessage",serverKey:"showSystemMessage",type:Vr.BOOLEAN,canSync:!0},{key:"theme",serverKey:"theme",type:Vr.STRING,canSync:!0},{key:"copyTextAttachmentsAsPlainText",serverKey:"copyTextAttachmentsAsPlainText",type:Vr.BOOLEAN,canSync:!0},{key:"showRawOutputSwitch",serverKey:"showRawOutputSwitch",type:Vr.BOOLEAN,canSync:!0},{key:"alwaysShowSidebarOnDesktop",serverKey:"alwaysShowSidebarOnDesktop",type:Vr.BOOLEAN,canSync:!0},{key:"autoShowSidebarOnNewChat",serverKey:"autoShowSidebarOnNewChat",type:Vr.BOOLEAN,canSync:!0},{key:"showRawModelNames",serverKey:"showRawModelNames",type:Vr.BOOLEAN,canSync:!0},{key:"mcpServers",serverKey:"mcpServers",type:Vr.STRING,canSync:!0},{key:"agenticMaxTurns",serverKey:"agenticMaxTurns",type:Vr.NUMBER,canSync:!0},{key:"agenticMaxToolPreviewLines",serverKey:"agenticMaxToolPreviewLines",type:Vr.NUMBER,canSync:!0},{key:"showToolCallInProgress",serverKey:"showToolCallInProgress",type:Vr.BOOLEAN,canSync:!0},{key:"alwaysShowAgenticTurns",serverKey:"alwaysShowAgenticTurns",type:Vr.BOOLEAN,canSync:!0},{key:"excludeReasoningFromContext",serverKey:"excludeReasoningFromContext",type:Vr.BOOLEAN,canSync:!0}];class uu{static roundFloatingPoint(e){return _u(e)}static extractServerDefaults(e,t){const n={};if(e){for(const a of wp)if(a.canSync&&a.serverKey in e){const i=e[a.serverKey];i!==void 0&&(n[a.key]=this.roundFloatingPoint(i))}e.samplers&&Array.isArray(e.samplers)&&(n.samplers=e.samplers.join(";"))}if(t){for(const a of wp)if(a.canSync&&a.serverKey in t){const i=t[a.serverKey];i!==void 0&&(n[a.key]=this.roundFloatingPoint(i))}}return n}static mergeWithServerDefaults(e,t,n=new Set){const a={...e};for(const[i,s]of Object.entries(t))n.has(i)||(a[i]=this.roundFloatingPoint(s));return a}static getParameterInfo(e,t,n,a){const i=n[e]!==void 0,s=a.has(e),o=s?f3.CUSTOM:f3.DEFAULT;return{value:t,source:o,serverDefault:i?n[e]:void 0,userOverride:s?t:void 0}}static canSyncParameter(e){return wp.some(t=>t.key===e&&t.canSync)}static getSyncableParameterKeys(){return wp.filter(e=>e.canSync).map(e=>e.key)}static validateServerParameter(e,t){const n=wp.find(a=>a.key===e);if(!n)return!1;switch(n.type){case Vr.NUMBER:return typeof t=="number"&&!isNaN(t);case Vr.STRING:return typeof t=="string";case Vr.BOOLEAN:return typeof t=="boolean";default:return!1}}static createParameterDiff(e,t){const n={};for(const a of this.getSyncableParameterKeys()){const i=e[a],s=t[a];s!==void 0&&(n[a]={current:i,server:s,differs:i!==s})}return n}}class r${static async fetch(e=!1){const t={};return e||(t.autoload="false"),SO("./props",t,{authOnly:!0})}static async fetchForModel(e,t=!1){const n={model:e};return t||(n.autoload="false"),SO("./props",n,{authOnly:!0})}}class wae{#e=_e(null);get props(){return f(this.#e)}set props(e){M(this.#e,e,!0)}#t=_e(!1);get loading(){return f(this.#t)}set loading(e){M(this.#t,e,!0)}#r=_e(null);get error(){return f(this.#r)}set error(e){M(this.#r,e,!0)}#n=_e(null);get role(){return f(this.#n)}set role(e){M(this.#n,e,!0)}fetchPromise=null;get defaultParams(){return this.props?.default_generation_settings?.params||null}get contextSize(){const e=this.props?.default_generation_settings?.n_ctx;return typeof e=="number"?e:null}get webuiSettings(){return this.props?.webui_settings}get isRouterMode(){return this.role===Rd.ROUTER}get isModelMode(){return this.role===Rd.MODEL}async fetch(){if(this.fetchPromise)return this.fetchPromise;this.loading=!0,this.error=null;const e=(async()=>{try{const t=await r$.fetch();this.props=t,this.error=null,this.detectRole(t)}catch(t){this.error=this.getErrorMessage(t),console.error("Error fetching server properties:",t)}finally{this.loading=!1,this.fetchPromise=null}})();this.fetchPromise=e,await e}getErrorMessage(e){if(e instanceof Error){const t=e.message||"";if(e.name==="TypeError"&&t.includes("fetch"))return"Server is not running or unreachable";if(t.includes("ECONNREFUSED"))return"Connection refused - server may be offline";if(t.includes("ENOTFOUND"))return"Server not found - check server address";if(t.includes("ETIMEDOUT"))return"Request timed out";if(t.includes("503"))return"Server 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праводоступа предопределенноезначение представлениекодалокализации представлениепериода представлениеправа представлениеприложения представлениесобытияжурналарегистрации представлениечасовогопояса предупреждение прекратитьработусистемы привилегированныйрежим продолжитьвызов прочитатьjson прочитатьxml прочитатьдатуjson пустаястрока рабочийкаталогданныхпользователя разблокироватьданныедляредактирования разделитьфайл разорватьсоединениесвнешнимисточникомданных раскодироватьстроку рольдоступна секунда сигнал символ скопироватьжурналрегистрации смещениелетнеговремени смещениестандартноговремени соединитьбуферыдвоичныхданных создатькаталог создатьфабрикуxdto сокрл сокрлп сокрп сообщить состояние сохранитьзначение сохранитьнастройкипользователя сред стрдлина стрзаканчиваетсяна стрзаменить стрнайти стрначинаетсяс строка строкасоединенияинформационнойбазы стрполучитьстроку стрразделить стрсоединить стрсравнить стрчисловхождений стрчислострок стршаблон текущаядата текущаядатасеанса текущаяуниверсальнаядата текущаяуниверсальнаядатавмиллисекундах текущийвариантинтерфейсаклиентскогоприложения текущийвариантосновногошрифтаклиентскогоприложения текущийкодлокализации текущийрежимзапуска текущийязык текущийязыксистемы тип типзнч транзакцияактивна трег удалитьданныеинформационнойбазы удалитьизвременногохранилища удалитьобъекты удалитьфайлы универсальноевремя установитьбезопасныйрежим установитьбезопасныйрежимразделенияданных установитьблокировкусеансов установитьвнешнююкомпоненту установитьвремязавершенияспящегосеанса установитьвремязасыпанияпассивногосеанса установитьвремяожиданияблокировкиданных установитьзаголовокклиентскогоприложения установитьзаголовоксистемы установитьиспользованиежурналарегистрации установитьиспользованиесобытияжурналарегистрации установитькраткийзаголовокприложения установитьминимальнуюдлинупаролейпользователей установитьмонопольныйрежим установитьнастройкиклиенталицензирования установитьобновлениепредопределенныхданныхинформационнойбазы 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erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image IRP_ALIGN irp_here"},illegal:/\/\*/,contains:[e.inherit(e.APOS_STRING_MODE,{className:"string",relevance:0}),e.inherit(e.QUOTE_STRING_MODE,{className:"string",relevance:0}),{className:"function",beginKeywords:"subroutine function program",illegal:"[${=\\n]",contains:[e.UNDERSCORE_TITLE_MODE,n]},e.COMMENT("!","$",{relevance:0}),e.COMMENT("begin_doc","end_doc",{relevance:10}),s]}}return r2=r,r2}var n2,tI;function hse(){if(tI)return n2;tI=1;function r(e){const t="[A-Za-zА-Яа-яёЁ_!][A-Za-zА-Яа-яёЁ_0-9]*",n="[A-Za-zА-Яа-яёЁ_][A-Za-zА-Яа-яёЁ_0-9]*",a="and и else иначе endexcept endfinally endforeach конецвсе endif конецесли endwhile конецпока except exitfor finally foreach все if если in в not не or или try while пока ",U="SYSRES_CONST_ACCES_RIGHT_TYPE_EDIT SYSRES_CONST_ACCES_RIGHT_TYPE_FULL SYSRES_CONST_ACCES_RIGHT_TYPE_VIEW SYSRES_CONST_ACCESS_MODE_REQUISITE_CODE SYSRES_CONST_ACCESS_NO_ACCESS_VIEW SYSRES_CONST_ACCESS_NO_ACCESS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW SYSRES_CONST_ACCESS_RIGHTS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_TYPE_CHANGE SYSRES_CONST_ACCESS_TYPE_CHANGE_CODE SYSRES_CONST_ACCESS_TYPE_EXISTS SYSRES_CONST_ACCESS_TYPE_EXISTS_CODE SYSRES_CONST_ACCESS_TYPE_FULL SYSRES_CONST_ACCESS_TYPE_FULL_CODE SYSRES_CONST_ACCESS_TYPE_VIEW SYSRES_CONST_ACCESS_TYPE_VIEW_CODE SYSRES_CONST_ACTION_TYPE_ABORT SYSRES_CONST_ACTION_TYPE_ACCEPT SYSRES_CONST_ACTION_TYPE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ADD_ATTACHMENT SYSRES_CONST_ACTION_TYPE_CHANGE_CARD SYSRES_CONST_ACTION_TYPE_CHANGE_KIND SYSRES_CONST_ACTION_TYPE_CHANGE_STORAGE SYSRES_CONST_ACTION_TYPE_CONTINUE SYSRES_CONST_ACTION_TYPE_COPY SYSRES_CONST_ACTION_TYPE_CREATE SYSRES_CONST_ACTION_TYPE_CREATE_VERSION SYSRES_CONST_ACTION_TYPE_DELETE SYSRES_CONST_ACTION_TYPE_DELETE_ATTACHMENT SYSRES_CONST_ACTION_TYPE_DELETE_VERSION SYSRES_CONST_ACTION_TYPE_DISABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE_AND_PASSWORD SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_PASSWORD SYSRES_CONST_ACTION_TYPE_EXPORT_WITH_LOCK SYSRES_CONST_ACTION_TYPE_EXPORT_WITHOUT_LOCK SYSRES_CONST_ACTION_TYPE_IMPORT_WITH_UNLOCK SYSRES_CONST_ACTION_TYPE_IMPORT_WITHOUT_UNLOCK SYSRES_CONST_ACTION_TYPE_LIFE_CYCLE_STAGE SYSRES_CONST_ACTION_TYPE_LOCK SYSRES_CONST_ACTION_TYPE_LOCK_FOR_SERVER SYSRES_CONST_ACTION_TYPE_LOCK_MODIFY SYSRES_CONST_ACTION_TYPE_MARK_AS_READED SYSRES_CONST_ACTION_TYPE_MARK_AS_UNREADED SYSRES_CONST_ACTION_TYPE_MODIFY SYSRES_CONST_ACTION_TYPE_MODIFY_CARD SYSRES_CONST_ACTION_TYPE_MOVE_TO_ARCHIVE SYSRES_CONST_ACTION_TYPE_OFF_ENCRYPTION SYSRES_CONST_ACTION_TYPE_PASSWORD_CHANGE SYSRES_CONST_ACTION_TYPE_PERFORM SYSRES_CONST_ACTION_TYPE_RECOVER_FROM_LOCAL_COPY SYSRES_CONST_ACTION_TYPE_RESTART SYSRES_CONST_ACTION_TYPE_RESTORE_FROM_ARCHIVE SYSRES_CONST_ACTION_TYPE_REVISION SYSRES_CONST_ACTION_TYPE_SEND_BY_MAIL SYSRES_CONST_ACTION_TYPE_SIGN SYSRES_CONST_ACTION_TYPE_START SYSRES_CONST_ACTION_TYPE_UNLOCK SYSRES_CONST_ACTION_TYPE_UNLOCK_FROM_SERVER SYSRES_CONST_ACTION_TYPE_VERSION_STATE SYSRES_CONST_ACTION_TYPE_VERSION_VISIBILITY SYSRES_CONST_ACTION_TYPE_VIEW SYSRES_CONST_ACTION_TYPE_VIEW_SHADOW_COPY SYSRES_CONST_ACTION_TYPE_WORKFLOW_DESCRIPTION_MODIFY SYSRES_CONST_ACTION_TYPE_WRITE_HISTORY SYSRES_CONST_ACTIVE_VERSION_STATE_PICK_VALUE SYSRES_CONST_ADD_REFERENCE_MODE_NAME SYSRES_CONST_ADDITION_REQUISITE_CODE SYSRES_CONST_ADDITIONAL_PARAMS_REQUISITE_CODE SYSRES_CONST_ADITIONAL_JOB_END_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_READ_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_START_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_STATE_REQUISITE_NAME SYSRES_CONST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_USER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_RESTRICTION_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_PUBLIC_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_PUBLIC_CHANGED_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE_ACTION SYSRES_CONST_ALL_ACCEPT_CONDITION_RUS SYSRES_CONST_ALL_USERS_GROUP SYSRES_CONST_ALL_USERS_GROUP_NAME SYSRES_CONST_ALL_USERS_SERVER_GROUP_NAME SYSRES_CONST_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_APP_VIEWER_TYPE_REQUISITE_CODE SYSRES_CONST_APPROVING_SIGNATURE_NAME SYSRES_CONST_APPROVING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE_CODE SYSRES_CONST_ATTACH_TYPE_COMPONENT_TOKEN SYSRES_CONST_ATTACH_TYPE_DOC SYSRES_CONST_ATTACH_TYPE_EDOC SYSRES_CONST_ATTACH_TYPE_FOLDER SYSRES_CONST_ATTACH_TYPE_JOB SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CODE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CONST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPONENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_CODE SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONENT_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_CONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_DATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CONST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_CODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_CODE SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENCE_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLETE_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SYSRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAST_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FOLDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_FROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSRES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONST_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_CONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALUE SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_KIND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT SYSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUISITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISITE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CONST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOCK_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYSRES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONST_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CONST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_REMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_REQUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CONST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONST_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYSRES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 SYSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TYPE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIVE_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALUE SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_TYPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_ORANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEFT_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRING_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_REFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_TEXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR SYSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE SYSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAITING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING  SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETALON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE "+"CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE "+"ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME "+"DECISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_BLOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY "+"ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION "+"JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JOB_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY "+"ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_CODE "+"smHidden smMaximized smMinimized smNormal wmNo wmYes "+"COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND "+"COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE "+"MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITOR_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITOR_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY "+"NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BLOCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY "+"dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError dseOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdate reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT "+"CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM "+"ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_EDOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV LOG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToAll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME "+"PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_RIGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE "+"ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEUDOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFERENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE "+"CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SIGN_AND_ENCRYPT "+"STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER "+"COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE "+"SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_CONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_DATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSREQ_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATABASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SECTION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VERSION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSREQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARAM_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LINE_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORMAT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_REF_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_TYPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_IN_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELECT_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAME SYSREQ_USER_GROUPS_GROUP_SERVER_NAME SYSREQ_USERS_ACCESS_RIGHTS SYSREQ_USERS_AUTHENTICATION SYSREQ_USERS_CATEGORY SYSREQ_USERS_COMPONENT SYSREQ_USERS_COMPONENT_USER_IS_PUBLIC SYSREQ_USERS_DOMAIN SYSREQ_USERS_FULL_USER_NAME SYSREQ_USERS_GROUP SYSREQ_USERS_IS_MAIN_SERVER SYSREQ_USERS_LOGIN SYSREQ_USERS_REFERENCE_USER_IS_PUBLIC SYSREQ_USERS_STATUS SYSREQ_USERS_USER_CERTIFICATE SYSREQ_USERS_USER_CERTIFICATE_INFO SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_NAME SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_VERSION SYSREQ_USERS_USER_CERTIFICATE_STATE SYSREQ_USERS_USER_CERTIFICATE_SUBJECT_NAME SYSREQ_USERS_USER_CERTIFICATE_THUMBPRINT SYSREQ_USERS_USER_DEFAULT_CERTIFICATE SYSREQ_USERS_USER_DESCRIPTION SYSREQ_USERS_USER_GLOBAL_NAME SYSREQ_USERS_USER_LOGIN SYSREQ_USERS_USER_MAIN_SERVER SYSREQ_USERS_USER_TYPE SYSREQ_WORK_RULES_FOLDER_ID "+"RESULT_VAR_NAME RESULT_VAR_NAME_ENG "+"AUTO_NUMERATION_RULE_ID CANT_CHANGE_ID_REQUISITE_RULE_ID CANT_CHANGE_OURFIRM_REQUISITE_RULE_ID CHECK_CHANGING_REFERENCE_RECORD_USE_RULE_ID CHECK_CODE_REQUISITE_RULE_ID CHECK_DELETING_REFERENCE_RECORD_USE_RULE_ID CHECK_FILTRATER_CHANGES_RULE_ID CHECK_RECORD_INTERVAL_RULE_ID CHECK_REFERENCE_INTERVAL_RULE_ID CHECK_REQUIRED_DATA_FULLNESS_RULE_ID CHECK_REQUIRED_REQUISITES_FULLNESS_RULE_ID MAKE_RECORD_UNRATIFIED_RULE_ID RESTORE_AUTO_NUMERATION_RULE_ID SET_FIRM_CONTEXT_FROM_RECORD_RULE_ID SET_FIRST_RECORD_IN_LIST_FORM_RULE_ID SET_IDSPS_VALUE_RULE_ID SET_NEXT_CODE_VALUE_RULE_ID SET_OURFIRM_BOUNDS_RULE_ID SET_OURFIRM_REQUISITE_RULE_ID "+"SCRIPT_BLOCK_AFTER_FINISH_EVENT SCRIPT_BLOCK_BEFORE_START_EVENT SCRIPT_BLOCK_EXECUTION_RESULTS_PROPERTY SCRIPT_BLOCK_NAME_PROPERTY SCRIPT_BLOCK_SCRIPT_PROPERTY "+"SUBTASK_BLOCK_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_AFTER_FINISH_EVENT SUBTASK_BLOCK_ASSIGN_PARAMS_EVENT SUBTASK_BLOCK_ATTACHMENTS_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY SUBTASK_BLOCK_BEFORE_START_EVENT SUBTASK_BLOCK_CREATED_TASK_PROPERTY SUBTASK_BLOCK_CREATION_EVENT SUBTASK_BLOCK_DEADLINE_PROPERTY SUBTASK_BLOCK_IMPORTANCE_PROPERTY SUBTASK_BLOCK_INITIATOR_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY SUBTASK_BLOCK_JOBS_TYPE_PROPERTY SUBTASK_BLOCK_NAME_PROPERTY SUBTASK_BLOCK_PARALLEL_ROUTE_PROPERTY SUBTASK_BLOCK_PERFORMERS_PROPERTY SUBTASK_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_REQUIRE_SIGN_PROPERTY SUBTASK_BLOCK_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_START_EVENT SUBTASK_BLOCK_STEP_CONTROL_PROPERTY SUBTASK_BLOCK_SUBJECT_PROPERTY SUBTASK_BLOCK_TASK_CONTROL_PROPERTY SUBTASK_BLOCK_TEXT_PROPERTY SUBTASK_BLOCK_UNLOCK_ATTACHMENTS_ON_STOP_PROPERTY SUBTASK_BLOCK_USE_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_WAIT_FOR_TASK_COMPLETE_PROPERTY "+"SYSCOMP_CONTROL_JOBS SYSCOMP_FOLDERS SYSCOMP_JOBS SYSCOMP_NOTICES SYSCOMP_TASKS "+"SYSDLG_CREATE_EDOCUMENT SYSDLG_CREATE_EDOCUMENT_VERSION SYSDLG_CURRENT_PERIOD SYSDLG_EDIT_FUNCTION_HELP SYSDLG_EDOCUMENT_KINDS_FOR_TEMPLATE SYSDLG_EXPORT_MULTIPLE_EDOCUMENTS SYSDLG_EXPORT_SINGLE_EDOCUMENT SYSDLG_IMPORT_EDOCUMENT SYSDLG_MULTIPLE_SELECT SYSDLG_SETUP_ACCESS_RIGHTS SYSDLG_SETUP_DEFAULT_RIGHTS SYSDLG_SETUP_FILTER_CONDITION SYSDLG_SETUP_SIGN_RIGHTS SYSDLG_SETUP_TASK_OBSERVERS SYSDLG_SETUP_TASK_ROUTE SYSDLG_SETUP_USERS_LIST SYSDLG_SIGN_EDOCUMENT SYSDLG_SIGN_MULTIPLE_EDOCUMENTS "+"SYSREF_ACCESS_RIGHTS_TYPES SYSREF_ADMINISTRATION_HISTORY SYSREF_ALL_AVAILABLE_COMPONENTS SYSREF_ALL_AVAILABLE_PRIVILEGES SYSREF_ALL_REPLICATING_COMPONENTS SYSREF_AVAILABLE_DEVELOPERS_COMPONENTS SYSREF_CALENDAR_EVENTS SYSREF_COMPONENT_TOKEN_HISTORY SYSREF_COMPONENT_TOKENS SYSREF_COMPONENTS SYSREF_CONSTANTS SYSREF_DATA_RECEIVE_PROTOCOL SYSREF_DATA_SEND_PROTOCOL SYSREF_DIALOGS SYSREF_DIALOGS_REQUISITES SYSREF_EDITORS SYSREF_EDOC_CARDS SYSREF_EDOC_TYPES SYSREF_EDOCUMENT_CARD_REQUISITES SYSREF_EDOCUMENT_CARD_TYPES SYSREF_EDOCUMENT_CARD_TYPES_REFERENCE SYSREF_EDOCUMENT_CARDS SYSREF_EDOCUMENT_HISTORY SYSREF_EDOCUMENT_KINDS SYSREF_EDOCUMENT_REQUISITES SYSREF_EDOCUMENT_SIGNATURES SYSREF_EDOCUMENT_TEMPLATES SYSREF_EDOCUMENT_TEXT_STORAGES SYSREF_EDOCUMENT_VIEWS SYSREF_FILTERER_SETUP_CONFLICTS SYSREF_FILTRATER_SETTING_CONFLICTS SYSREF_FOLDER_HISTORY SYSREF_FOLDERS SYSREF_FUNCTION_GROUPS SYSREF_FUNCTION_PARAMS SYSREF_FUNCTIONS SYSREF_JOB_HISTORY SYSREF_LINKS SYSREF_LOCALIZATION_DICTIONARY SYSREF_LOCALIZATION_LANGUAGES SYSREF_MODULES SYSREF_PRIVILEGES SYSREF_RECORD_HISTORY SYSREF_REFERENCE_REQUISITES SYSREF_REFERENCE_TYPE_VIEWS SYSREF_REFERENCE_TYPES SYSREF_REFERENCES SYSREF_REFERENCES_REQUISITES SYSREF_REMOTE_SERVERS SYSREF_REPLICATION_SESSIONS_LOG SYSREF_REPLICATION_SESSIONS_PROTOCOL SYSREF_REPORTS SYSREF_ROLES SYSREF_ROUTE_BLOCK_GROUPS SYSREF_ROUTE_BLOCKS SYSREF_SCRIPTS SYSREF_SEARCHES SYSREF_SERVER_EVENTS SYSREF_SERVER_EVENTS_HISTORY SYSREF_STANDARD_ROUTE_GROUPS SYSREF_STANDARD_ROUTES SYSREF_STATUSES SYSREF_SYSTEM_SETTINGS SYSREF_TASK_HISTORY SYSREF_TASK_KIND_GROUPS SYSREF_TASK_KINDS SYSREF_TASK_RIGHTS SYSREF_TASK_SIGNATURES SYSREF_TASKS SYSREF_UNITS SYSREF_USER_GROUPS SYSREF_USER_GROUPS_REFERENCE SYSREF_USER_SUBSTITUTION SYSREF_USERS SYSREF_USERS_REFERENCE SYSREF_VIEWERS SYSREF_WORKING_TIME_CALENDARS "+"ACCESS_RIGHTS_TABLE_NAME EDMS_ACCESS_TABLE_NAME EDOC_TYPES_TABLE_NAME "+"TEST_DEV_DB_NAME TEST_DEV_SYSTEM_CODE TEST_EDMS_DB_NAME TEST_EDMS_MAIN_CODE TEST_EDMS_MAIN_DB_NAME TEST_EDMS_SECOND_CODE TEST_EDMS_SECOND_DB_NAME TEST_EDMS_SYSTEM_CODE TEST_ISB5_MAIN_CODE TEST_ISB5_SECOND_CODE TEST_SQL_SERVER_2005_NAME TEST_SQL_SERVER_NAME "+"ATTENTION_CAPTION cbsCommandLinks cbsDefault CONFIRMATION_CAPTION ERROR_CAPTION INFORMATION_CAPTION mrCancel mrOk "+"EDOC_VERSION_ACTIVE_STAGE_CODE EDOC_VERSION_DESIGN_STAGE_CODE EDOC_VERSION_OBSOLETE_STAGE_CODE "+"cpDataEnciphermentEnabled cpDigitalSignatureEnabled cpID cpIssuer cpPluginVersion cpSerial cpSubjectName cpSubjSimpleName cpValidFromDate cpValidToDate "+"ISBL_SYNTAX NO_SYNTAX XML_SYNTAX "+"WAIT_BLOCK_AFTER_FINISH_EVENT WAIT_BLOCK_BEFORE_START_EVENT WAIT_BLOCK_DEADLINE_PROPERTY WAIT_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY WAIT_BLOCK_NAME_PROPERTY WAIT_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY "+"SYSRES_COMMON SYSRES_CONST SYSRES_MBFUNC SYSRES_SBDATA SYSRES_SBGUI SYSRES_SBINTF SYSRES_SBREFDSC SYSRES_SQLERRORS SYSRES_SYSCOMP ",cd="atUser atGroup atRole "+"aemEnabledAlways aemDisabledAlways aemEnabledOnBrowse aemEnabledOnEdit aemDisabledOnBrowseEmpty "+"apBegin apEnd "+"alLeft alRight "+"asmNever asmNoButCustomize asmAsLastTime asmYesButCustomize asmAlways "+"cirCommon cirRevoked "+"ctSignature ctEncode ctSignatureEncode "+"clbUnchecked clbChecked clbGrayed "+"ceISB ceAlways ceNever "+"ctDocument ctReference ctScript ctUnknown ctReport ctDialog ctFunction ctFolder ctEDocument ctTask ctJob ctNotice ctControlJob "+"cfInternal cfDisplay "+"ciUnspecified ciWrite ciRead "+"ckFolder ckEDocument ckTask ckJob ckComponentToken ckAny ckReference ckScript ckReport ckDialog "+"ctISBLEditor ctBevel ctButton ctCheckListBox ctComboBox ctComboEdit ctGrid ctDBCheckBox ctDBComboBox ctDBEdit ctDBEllipsis ctDBMemo ctDBNavigator ctDBRadioGroup ctDBStatusLabel ctEdit ctGroupBox ctInplaceHint ctMemo ctPanel ctListBox ctRadioButton ctRichEdit ctTabSheet ctWebBrowser ctImage ctHyperLink ctLabel ctDBMultiEllipsis ctRibbon ctRichView ctInnerPanel ctPanelGroup ctBitButton "+"cctDate cctInteger cctNumeric cctPick cctReference cctString cctText "+"cltInternal cltPrimary cltGUI "+"dseBeforeOpen dseAfterOpen dseBeforeClose dseAfterClose dseOnValidDelete dseBeforeDelete dseAfterDelete dseAfterDeleteOutOfTransaction 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inference_result infix info_display init_atensor init_ctensor in_neighbors innerproduct inpart inprod inrt integerp integer_partitions integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacobi_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_connected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_set julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerre lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomials listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbrot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_deviation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeometric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp orthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hypergeometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_part poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2ele pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode sparse6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_hankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binomial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan tanh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tlimit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trace tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlying_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace uppercasep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poisson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_carmichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit besselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c capping cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependencies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_over doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp erfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expandwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_vertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet genindex gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnuplot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hypergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb 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pivot_count_sx pivot_max_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat prompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivide rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck setcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color show_vertex_size show_vertex_type show_vertices show_weight simp simplified_output simplify_products simpproduct simpsum sinnpiflag solvedecomposes solveexplicit solvefactors solvenullwarn solveradcan solvetrigwarn space sparse sphere spring_embedding_depth sqrtdispflag stardisp startphi starttheta stats_numer stringdisp structures style sublis_apply_lambda subnumsimp sumexpand sumsplitfact surface surface_hide svg_file symmetric tab taylordepth taylor_logexpand taylor_order_coefficients taylor_truncate_polynomials tensorkill terminal testsuite_files thetaresolution timer_devalue title tlimswitch tr track transcompile transform transform_xy translate_fast_arrays transparent transrun tr_array_as_ref tr_bound_function_applyp tr_file_tty_messagesp tr_float_can_branch_complex tr_function_call_default trigexpandplus trigexpandtimes triginverses 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zerob zerobern zeta%pi zlabel zlabel_rotate zlength zmin zn_primroot_limit zn_primroot_pretest",symbol:"_ __ %|0 %%|0"},contains:[{className:"comment",begin:"/\\*",end:"\\*/",contains:["self"]},e.QUOTE_STRING_MODE,{className:"number",relevance:0,variants:[{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Ee][-+]?\\d+\\b"},{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Bb][-+]?\\d+\\b",relevance:10},{begin:"\\b(\\.\\d+|\\d+\\.\\d+)\\b"},{begin:"\\b(\\d+|0[0-9A-Za-z]+)\\.?\\b"}]}],illegal:/@/}}return C2=r,C2}var A2,TI;function Pse(){if(TI)return A2;TI=1;function r(e){return{name:"MEL",keywords:"int float string vector matrix if else switch case default while do for in break continue global proc return about abs addAttr addAttributeEditorNodeHelp addDynamic addNewShelfTab addPP addPanelCategory addPrefixToName advanceToNextDrivenKey affectedNet affects aimConstraint air alias aliasAttr align alignCtx alignCurve alignSurface allViewFit ambientLight angle angleBetween animCone animCurveEditor 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+`,RESOURCE_UNKNOWN_TYPE="unknown type",BINARY_CONTENT_LABEL="Binary content",IMAGE_MIME_TO_EXTENSION={[MimeTypeImage.JPEG]:"jpg",[MimeTypeImage.JPG]:"jpg",[MimeTypeImage.PNG]:"png",[MimeTypeImage.GIF]:"gif",[MimeTypeImage.WEBP]:"webp"},EXPORT_CONV_ID_TRIM_LENGTH=8,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH=20,ISO_TIMESTAMP_SLICE_LENGTH=19,NON_ALPHANUMERIC_REGEX=/[^a-z0-9]/gi,EXPORT_CONV_NONALNUM_REPLACEMENT="_",MULTIPLE_UNDERSCORE_REGEX=/_+/g,ISO_DATE_TIME_SEPARATOR="T",ISO_DATE_TIME_SEPARATOR_REPLACEMENT="\
+_",ISO_TIME_SEPARATOR=":",ISO_TIME_SEPARATOR_REPLACEMENT="-",MODEL_ID_NOT_FOUND=-1,MODEL_ID_ORG_SEPARATOR="/",MODEL_ID_SEGMENT_SEPARATOR="-",MODEL_ID_QUANTIZATION_SEPARATOR=":",MODEL_QUANTIZATION_SEGMENT_RE=/^(I?Q\d+(_[A-Z0-9]+)*|F\d+|BF\d+|MXFP\d+(_[A-Z0-9]+)*)$/i,MODEL_CUSTOM_QUANTIZATION_PREFIX_RE=/^UD$/i,MODEL_PARAMS_RE=/^\d+(\.\d+)?[BbMmKkTt]$/,MODEL_ACTIVATED_PARAMS_RE=/^[Aa]\d+(\.\d+)?[BbMmKkTt]$/,MODEL_IGNORED_SEGMENTS=new Set(["GGUF","GGML"]),PRECISION_MULTIPLIER=1e6,PROCESSING_INFO_TIMEOUT=2e3,
+STATS_UNITS={TOKENS_PER_SECOND:"t/s"},SETTING_CONFIG_DEFAULT={apiKey:"",systemMessage:"",showSystemMessage:!0,theme:ColorMode.SYSTEM,showThoughtInProgress:!0,disableReasoningParsing:!1,excludeReasoningFromContext:!1,showRawOutputSwitch:!1,keepStatsVisible:!1,showMessageStats:!0,askForTitleConfirmation:!1,titleGenerationUseFirstLine:!1,pasteLongTextToFileLen:2500,copyTextAttachmentsAsPlainText:!1,pdfAsImage:!1,disableAutoScroll:!1,renderUserContentAsMarkdown:!1,alwaysShowSidebarOnDesktop:!1,autoShowSidebarOnNewChat:!0,
+sendOnEnter:!0,autoMicOnEmpty:!1,fullHeightCodeBlocks:!1,showRawModelNames:!1,mcpServers:"[]",mcpServerUsageStats:"{}",agenticMaxTurns:10,agenticMaxToolPreviewLines:25,showToolCallInProgress:!1,alwaysShowAgenticTurns:!1,samplers:"",backend_sampling:!1,temperature:void 0,dynatemp_range:void 0,dynatemp_exponent:void 0,top_k:void 0,top_p:void 0,min_p:void 0,xtc_probability:void 0,xtc_threshold:void 0,typ_p:void 0,repeat_last_n:void 0,repeat_penalty:void 0,presence_penalty:void 0,frequency_penalty:void 0,
+dry_multiplier:void 0,dry_base:void 0,dry_allowed_length:void 0,dry_penalty_last_n:void 0,max_tokens:void 0,custom:"",preEncodeConversation:!1,pyInterpreterEnabled:!1,enableContinueGeneration:!1},SETTING_CONFIG_INFO={apiKey:"Set the API Key if you are using <code>--api-key</code> option for the server.",systemMessage:"The starting message that defines how model should behave.",showSystemMessage:"Display the system message at the top of each conversation.",theme:"Choose the color theme for the in\
+terface. You can choose between System (follows your device settings), Light, or Dark.",pasteLongTextToFileLen:"On pasting long text, it will be converted to a file. You can control the file length by setting the value of this parameter. Value 0 means disable.",copyTextAttachmentsAsPlainText:"When copying a message with text attachments, combine them into a single plain text string instead of a special format that can be pasted back as attachments.",samplers:'The order at which samplers are appl\
+ied, in simplified way. Default is "top_k;typ_p;top_p;min_p;temperature": top_k->typ_p->top_p->min_p->temperature',backend_sampling:"Enable backend-based samplers. When enabled, supported samplers run on the accelerator backend for faster sampling.",temperature:"Controls the randomness of the generated text by affecting the probability distribution of the output tokens. Higher = more random, lower = more focused.",dynatemp_range:"Addon for the temperature sampler. The added value to the range of\
+ dynamic temperature, which adjusts probabilities by entropy of tokens.",dynatemp_exponent:"Addon for the temperature sampler. Smoothes out the probability redistribution based on the most probable token.",top_k:"Keeps only k top tokens.",top_p:"Limits tokens to those that together have a cumulative probability of at least p",min_p:"Limits tokens based on the minimum probability for a token to be considered, relative to the probability of the most likely token.",xtc_probability:"XTC sampler cuts\
+ out top tokens; this parameter controls the chance of cutting tokens at all. 0 disables XTC.",xtc_threshold:"XTC sampler cuts out top tokens; this parameter controls the token probability that is required to cut that token.",typ_p:"Sorts and limits tokens based on the difference between log-probability and entropy.",repeat_last_n:"Last n tokens to consider for penalizing repetition",repeat_penalty:"Controls the repetition of token sequences in the generated text",presence_penalty:"Limits tokens\
+ based on whether they appear in the output or not.",frequency_penalty:"Limits tokens based on how often they appear in the output.",dry_multiplier:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling multiplier.",dry_base:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets the DRY sampling base value.",dry_allowed_length:"DRY sampling reduces repetition in generated text even across long \
+contexts. This parameter sets the allowed length for DRY sampling.",dry_penalty_last_n:"DRY sampling reduces repetition in generated text even across long contexts. This parameter sets DRY penalty for the last n tokens.",max_tokens:"The maximum number of token per output. Use -1 for infinite (no limit).",custom:"Custom JSON parameters to send to the API. Must be valid JSON format.",showThoughtInProgress:"Expand thought process by default when generating messages.",disableReasoningParsing:"Send r\
+easoning_format=none so the server returns thinking tokens inline instead of extracting them into a separate field.",excludeReasoningFromContext:"Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.",showRawOutputSwitch:"Show toggle button to display messages as plain text instead of Markdown-formatted content",keepStatsVisible:"Keep processing statistics visible after genera\
+tion finishes.",showMessageStats:"Display generation statistics (tokens/second, token count, duration) below each assistant message.",askForTitleConfirmation:"Ask for confirmation before automatically changing conversation title when editing the first message.",titleGenerationUseFirstLine:"Use only the first non-empty line of the prompt to generate the conversation title.",pdfAsImage:"Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.",disableAutoScroll:"\
+Disable automatic scrolling while messages stream so you can control the viewport position manually.",renderUserContentAsMarkdown:"Render user messages using markdown formatting in the chat.",alwaysShowSidebarOnDesktop:"Always keep the sidebar visible on desktop instead of auto-hiding it.",autoShowSidebarOnNewChat:"Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.",sendOnEnter:"Use Enter to send messages and Shift + Enter for new lines\
+. When disabled, use Ctrl/Cmd + Enter.",autoMicOnEmpty:"Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.",fullHeightCodeBlocks:"Always display code blocks at their full natural height, overriding any height limits.",showRawModelNames:'Display full raw model identifiers (e.g. "ggml-org/GLM-4.7-Flash-GGUF:Q8_0") instead of parsed names with badges.',mcpServers:"Configure MCP servers as a JSON list. Use the form in the MCP Cl\
+ient settings section to edit.",mcpServerUsageStats:"Usage statistics for MCP servers. Tracks how many times tools from each server have been used.",agenticMaxTurns:"Maximum number of tool execution cycles before stopping (prevents infinite loops).",agenticMaxToolPreviewLines:"Number of lines shown in tool output previews (last N lines). Only these previews and the final LLM response persist after the agentic loop completes.",showToolCallInProgress:"Automatically expand tool call details while e\
+xecuting and keep them expanded after completion.",pyInterpreterEnabled:"Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.",preEncodeConversation:"After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.",enableContinueGeneration:'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'},SETTINGS_COLOR_MODES_CONFIG=[
+{value:ColorMode.SYSTEM,label:"System",icon:Monitor},{value:ColorMode.LIGHT,label:"Light",icon:Sun},{value:ColorMode.DARK,label:"Dark",icon:Moon}],NUMERIC_FIELDS=["temperature","top_k","top_p","min_p","max_tokens","pasteLongTextToFileLen","dynatemp_range","dynatemp_exponent","typ_p","xtc_probability","xtc_threshold","repeat_last_n","repeat_penalty","presence_penalty","frequency_penalty","dry_multiplier","dry_base","dry_allowed_length","dry_penalty_last_n","agenticMaxTurns","agenticMaxToolPreview\
+Lines"],POSITIVE_INTEGER_FIELDS=["agenticMaxTurns","agenticMaxToolPreviewLines"],SETTINGS_KEYS={THEME:"theme",API_KEY:"apiKey",SYSTEM_MESSAGE:"systemMessage",PASTE_LONG_TEXT_TO_FILE_LEN:"pasteLongTextToFileLen",COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT:"copyTextAttachmentsAsPlainText",SEND_ON_ENTER:"sendOnEnter",ENABLE_CONTINUE_GENERATION:"enableContinueGeneration",PDF_AS_IMAGE:"pdfAsImage",ASK_FOR_TITLE_CONFIRMATION:"askForTitleConfirmation",TITLE_GENERATION_USE_FIRST_LINE:"titleGenerationUseFirstLin\
+e",SHOW_MESSAGE_STATS:"showMessageStats",SHOW_THOUGHT_IN_PROGRESS:"showThoughtInProgress",KEEP_STATS_VISIBLE:"keepStatsVisible",AUTO_MIC_ON_EMPTY:"autoMicOnEmpty",RENDER_USER_CONTENT_AS_MARKDOWN:"renderUserContentAsMarkdown",DISABLE_AUTO_SCROLL:"disableAutoScroll",ALWAYS_SHOW_SIDEBAR_ON_DESKTOP:"alwaysShowSidebarOnDesktop",FULL_HEIGHT_CODE_BLOCKS:"fullHeightCodeBlocks",SHOW_RAW_MODEL_NAMES:"showRawModelNames",TEMPERATURE:"temperature",DYNATEMP_RANGE:"dynatemp_range",DYNATEMP_EXPONENT:"dynatemp_e\
+xponent",TOP_K:"top_k",TOP_P:"top_p",MIN_P:"min_p",XTC_PROBABILITY:"xtc_probability",XTC_THRESHOLD:"xtc_threshold",TYP_P:"typ_p",MAX_TOKENS:"max_tokens",SAMPLERS:"samplers",BACKEND_SAMPLING:"backend_sampling",REPEAT_LAST_N:"repeat_last_n",REPEAT_PENALTY:"repeat_penalty",PRESENCE_PENALTY:"presence_penalty",FREQUENCY_PENALTY:"frequency_penalty",DRY_MULTIPLIER:"dry_multiplier",DRY_BASE:"dry_base",DRY_ALLOWED_LENGTH:"dry_allowed_length",DRY_PENALTY_LAST_N:"dry_penalty_last_n",AGENTIC_MAX_TURNS:"agen\
+ticMaxTurns",ALWAYS_SHOW_AGENTIC_TURNS:"alwaysShowAgenticTurns",AGENTIC_MAX_TOOL_PREVIEW_LINES:"agenticMaxToolPreviewLines",SHOW_TOOL_CALL_IN_PROGRESS:"showToolCallInProgress",PRE_ENCODE_CONVERSATION:"preEncodeConversation",DISABLE_REASONING_PARSING:"disableReasoningParsing",EXCLUDE_REASONING_FROM_CONTEXT:"excludeReasoningFromContext",SHOW_RAW_OUTPUT_SWITCH:"showRawOutputSwitch",CUSTOM:"custom"},SETTINGS_SECTION_TITLES={GENERAL:"General",DISPLAY:"Display",SAMPLING:"Sampling",PENALTIES:"Penalties",
+AGENTIC:"Agentic",TOOLS:"Tools",IMPORT_EXPORT:"Import/Export",DEVELOPER:"Developer"},SETTINGS_CHAT_SECTIONS=[{title:SETTINGS_SECTION_TITLES.GENERAL,slug:"general",icon:Sliders_vertical,fields:[{key:SETTINGS_KEYS.THEME,label:"Theme",type:SettingsFieldType.SELECT,options:SETTINGS_COLOR_MODES_CONFIG},{key:SETTINGS_KEYS.API_KEY,label:"API Key",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SYSTEM_MESSAGE,label:"System Message",type:SettingsFieldType.TEXTAREA},{key:SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,
+label:"Paste long text to file length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.SEND_ON_ENTER,label:"Send message on Enter",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,label:"Copy text attachments as plain text",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,label:'Enable "Continue" button',type:SettingsFieldType.CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.PDF_AS_IMAGE,label:"Parse PDF as image",type:SettingsFieldType.
+CHECKBOX},{key:SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,label:"Ask for confirmation before changing conversation title",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.TITLE_GENERATION_USE_FIRST_LINE,label:"Use first non-empty line for conversation title",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.DISPLAY,slug:"display",icon:Monitor,fields:[{key:SETTINGS_KEYS.SHOW_MESSAGE_STATS,label:"Show message generation statistics",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.
+SHOW_THOUGHT_IN_PROGRESS,label:"Show thought in progress",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,label:"Show tool call in progress",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.KEEP_STATS_VISIBLE,label:"Keep stats visible after generation",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,label:"Show microphone on empty input",type:SettingsFieldType.CHECKBOX,isExperimental:!0},{key:SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,label:"\
+Render user content as Markdown",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,label:"Use full height code blocks",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.DISABLE_AUTO_SCROLL,label:"Disable automatic scroll",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,label:"Always show sidebar on desktop",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,label:"Show raw model names",type:SettingsFieldType.CHECKBOX},
+{key:SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,label:"Always show agentic turns in conversation",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.SAMPLING,slug:"sampling",icon:Funnel,fields:[{key:SETTINGS_KEYS.TEMPERATURE,label:"Temperature",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_RANGE,label:"Dynamic temperature range",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DYNATEMP_EXPONENT,label:"Dynamic temperature exponent",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.
+TOP_K,label:"Top K",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TOP_P,label:"Top P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.MIN_P,label:"Min P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_PROBABILITY,label:"XTC probability",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.XTC_THRESHOLD,label:"XTC threshold",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.TYP_P,label:"Typical P",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.MAX_TOKENS,label:"Max tokens",type:SettingsFieldType.
+INPUT},{key:SETTINGS_KEYS.SAMPLERS,label:"Samplers",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.BACKEND_SAMPLING,label:"Backend sampling",type:SettingsFieldType.CHECKBOX}]},{title:SETTINGS_SECTION_TITLES.PENALTIES,slug:"penalties",icon:Triangle_alert,fields:[{key:SETTINGS_KEYS.REPEAT_LAST_N,label:"Repeat last N",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.REPEAT_PENALTY,label:"Repeat penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.PRESENCE_PENALTY,label:"Presence penalty",type:SettingsFieldType.
+INPUT},{key:SETTINGS_KEYS.FREQUENCY_PENALTY,label:"Frequency penalty",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_MULTIPLIER,label:"DRY multiplier",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_BASE,label:"DRY base",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_ALLOWED_LENGTH,label:"DRY allowed length",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.DRY_PENALTY_LAST_N,label:"DRY penalty last N",type:SettingsFieldType.INPUT}]},{title:SETTINGS_SECTION_TITLES.AGENTIC,slug:"a\
+gentic",icon:List_restart,fields:[{key:SETTINGS_KEYS.AGENTIC_MAX_TURNS,label:"Agentic turns",type:SettingsFieldType.INPUT},{key:SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,label:"Max lines per tool preview",type:SettingsFieldType.INPUT}]},{title:SETTINGS_SECTION_TITLES.TOOLS,slug:"tools",icon:Pencil_ruler},{title:SETTINGS_SECTION_TITLES.IMPORT_EXPORT,slug:"import-export",icon:Database},{title:SETTINGS_SECTION_TITLES.DEVELOPER,slug:"developer",icon:Code,fields:[{key:SETTINGS_KEYS.PRE_ENCODE_CONVERSATION,
+label:"Pre-fill KV cache after response",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.DISABLE_REASONING_PARSING,label:"Disable reasoning content parsing",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,label:"Exclude reasoning from context",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,label:"Enable raw output toggle",type:SettingsFieldType.CHECKBOX},{key:SETTINGS_KEYS.CUSTOM,label:"Custom JSON",type:SettingsFieldType.TEXTAREA}]}];
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+SYSTEM_MESSAGE_PLACEHOLDER="System message",APP_NAME="llama.cpp",ICON_STRIP_TRANSITION_DURATION=150,ICON_STRIP_TRANSITION_DELAY_MULTIPLIER=50,SIDEBAR_ACTIONS_ITEMS=[{icon:Square_pen,tooltip:"New chat",route:"?new_chat=true#/",keys:["shift","cmd","o"]},{icon:Search,tooltip:"Search",keys:["cmd","k"]},{icon:McpLogo,tooltip:"MCP Servers",route:"#/settings/mcp",activeRouteId:"/settings/mcp"},{icon:Settings$1,tooltip:"Settings",route:"#/settings/chat/general",activeRoutePrefix:"/settings/chat"}],URI_SCHEME_SEPARATOR="\
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+super(`max-width: ${breakpoint-1}px`)}}const SYNCABLE_PARAMETERS=[{key:"temperature",serverKey:"temperature",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_k",serverKey:"top_k",type:SyncableParameterType.NUMBER,canSync:!0},{key:"top_p",serverKey:"top_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"min_p",serverKey:"min_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_range",serverKey:"dynatemp_range",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dynatemp_expo\
+nent",serverKey:"dynatemp_exponent",type:SyncableParameterType.NUMBER,canSync:!0},{key:"xtc_probability",serverKey:"xtc_probability",type:SyncableParameterType.NUMBER,canSync:!0},{key:"xtc_threshold",serverKey:"xtc_threshold",type:SyncableParameterType.NUMBER,canSync:!0},{key:"typ_p",serverKey:"typ_p",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_last_n",serverKey:"repeat_last_n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"repeat_penalty",serverKey:"repeat_penalty",type:SyncableParameterType.
+NUMBER,canSync:!0},{key:"presence_penalty",serverKey:"presence_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"frequency_penalty",serverKey:"frequency_penalty",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_multiplier",serverKey:"dry_multiplier",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_base",serverKey:"dry_base",type:SyncableParameterType.NUMBER,canSync:!0},{key:"dry_allowed_length",serverKey:"dry_allowed_length",type:SyncableParameterType.NUMBER,canSync:!0},
+{key:"dry_penalty_last_n",serverKey:"dry_penalty_last_n",type:SyncableParameterType.NUMBER,canSync:!0},{key:"max_tokens",serverKey:"max_tokens",type:SyncableParameterType.NUMBER,canSync:!0},{key:"samplers",serverKey:"samplers",type:SyncableParameterType.STRING,canSync:!0},{key:"backend_sampling",serverKey:"backend_sampling",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"pasteLongTextToFileLen",serverKey:"pasteLongTextToFileLen",type:SyncableParameterType.NUMBER,canSync:!0},{key:"pdfAsImage",
+serverKey:"pdfAsImage",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showThoughtInProgress",serverKey:"showThoughtInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"keepStatsVisible",serverKey:"keepStatsVisible",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showMessageStats",serverKey:"showMessageStats",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"askForTitleConfirmation",serverKey:"askForTitleConfirmation",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"\
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+BOOLEAN,canSync:!0},{key:"enableContinueGeneration",serverKey:"enableContinueGeneration",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"fullHeightCodeBlocks",serverKey:"fullHeightCodeBlocks",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"systemMessage",serverKey:"systemMessage",type:SyncableParameterType.STRING,canSync:!0},{key:"showSystemMessage",serverKey:"showSystemMessage",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"theme",serverKey:"theme",type:SyncableParameterType.STRING,
+canSync:!0},{key:"copyTextAttachmentsAsPlainText",serverKey:"copyTextAttachmentsAsPlainText",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawOutputSwitch",serverKey:"showRawOutputSwitch",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"alwaysShowSidebarOnDesktop",serverKey:"alwaysShowSidebarOnDesktop",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"showRawModelNames",serverKey:"showRawModelNames",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"mcpServers",serverKey:"mcp\
+Servers",type:SyncableParameterType.STRING,canSync:!0},{key:"agenticMaxTurns",serverKey:"agenticMaxTurns",type:SyncableParameterType.NUMBER,canSync:!0},{key:"agenticMaxToolPreviewLines",serverKey:"agenticMaxToolPreviewLines",type:SyncableParameterType.NUMBER,canSync:!0},{key:"showToolCallInProgress",serverKey:"showToolCallInProgress",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"alwaysShowAgenticTurns",serverKey:"alwaysShowAgenticTurns",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"\
+excludeReasoningFromContext",serverKey:"excludeReasoningFromContext",type:SyncableParameterType.BOOLEAN,canSync:!0},{key:"sendOnEnter",serverKey:"sendOnEnter",type:SyncableParameterType.BOOLEAN,canSync:!0}];class ParameterSyncService{static roundFloatingPoint(value){return normalizeFloatingPoint(value)}static extractServerDefaults(serverParams,webuiSettings){const extracted={};if(serverParams){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&&param.serverKey in serverParams){const value=serverParams[param.
+serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}serverParams.samplers&&Array.isArray(serverParams.samplers)&&(extracted.samplers=serverParams.samplers.join(";"))}if(webuiSettings){for(const param of SYNCABLE_PARAMETERS)if(param.canSync&&param.serverKey in webuiSettings){const value=webuiSettings[param.serverKey];value!==void 0&&(extracted[param.key]=this.roundFloatingPoint(value))}}return extracted}static mergeWithServerDefaults(currentSettings,serverDefaults,userOverrides=new Set){
+const merged={...currentSettings};for(const[key2,serverValue]of Object.entries(serverDefaults))userOverrides.has(key2)||(merged[key2]=this.roundFloatingPoint(serverValue));return merged}static getParameterInfo(key2,currentValue,propsDefaults,userOverrides){const hasPropsDefault=propsDefaults[key2]!==void 0,isUserOverride=userOverrides.has(key2),source2=isUserOverride?ParameterSource.CUSTOM:ParameterSource.DEFAULT;return{value:currentValue,source:source2,serverDefault:hasPropsDefault?propsDefaults[key2]:
+void 0,userOverride:isUserOverride?currentValue:void 0}}static canSyncParameter(key2){return SYNCABLE_PARAMETERS.some(param=>param.key===key2&&param.canSync)}static getSyncableParameterKeys(){return SYNCABLE_PARAMETERS.filter(param=>param.canSync).map(param=>param.key)}static validateServerParameter(key2,value){const param=SYNCABLE_PARAMETERS.find(p2=>p2.key===key2);if(!param)return!1;switch(param.type){case SyncableParameterType.NUMBER:return typeof value=="number"&&!isNaN(value);case SyncableParameterType.
+STRING:return typeof value=="string";case SyncableParameterType.BOOLEAN:return typeof value=="boolean";default:return!1}}static createParameterDiff(currentSettings,serverDefaults){const diff2={};for(const key2 of this.getSyncableParameterKeys()){const currentValue=currentSettings[key2],serverValue=serverDefaults[key2];serverValue!==void 0&&(diff2[key2]={current:currentValue,server:serverValue,differs:currentValue!==serverValue})}return diff2}}class PropsService{static async fetch(autoload=!1){const params={};
+return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}static async fetchForModel(modelId,autoload=!1){const params={model:modelId};return autoload||(params.autoload="false"),apiFetchWithParams("./props",params,{authOnly:!0})}}class ServerStore{#props=state$1(null);get props(){return get$3(this.#props)}set props(value){set$1(this.#props,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#error=state$1(
+null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value,!0)}#role=state$1(null);get role(){return get$3(this.#role)}set role(value){set$1(this.#role,value,!0)}fetchPromise=null;get defaultParams(){return this.props?.default_generation_settings?.params||null}get contextSize(){const nCtx=this.props?.default_generation_settings?.n_ctx;return typeof nCtx=="number"?nCtx:null}get webuiSettings(){return this.props?.webui_settings}get isRouterMode(){return this.role===ServerRole.
+ROUTER}get isModelMode(){return this.role===ServerRole.MODEL}async fetch(){if(this.fetchPromise)return this.fetchPromise;this.loading=!0,this.error=null;const fetchPromise=(async()=>{try{const props=await PropsService.fetch();this.props=props,this.error=null,this.detectRole(props)}catch(error2){this.error=this.getErrorMessage(error2),console.error("Error fetching server properties:",error2)}finally{this.loading=!1,this.fetchPromise=null}})();this.fetchPromise=fetchPromise,await fetchPromise}getErrorMessage(error2){
+if(error2 instanceof Error){const message=error2.message||"";if(error2.name==="TypeError"&&message.includes("fetch"))return"Server is not running or unreachable";if(message.includes("ECONNREFUSED"))return"Connection refused - server may be offline";if(message.includes("ENOTFOUND"))return"Server not found - check server address";if(message.includes("ETIMEDOUT"))return"Request timed out";if(message.includes("503"))return"Server temporarily unavailable";if(message.includes("500"))return"Server erro\
+r - check server logs";if(message.includes("404"))return"Server endpoint not found";if(message.includes("403")||message.includes("401"))return"Access denied"}return"Failed to connect to server"}clear(){this.props=null,this.error=null,this.loading=!1,this.role=null,this.fetchPromise=null}detectRole(props){const newRole=props?.role===ServerRole.ROUTER?ServerRole.ROUTER:ServerRole.MODEL;this.role!==newRole&&(this.role=newRole,console.info(`Server running in ${newRole===ServerRole.ROUTER?"ROUTER":"M\
+ODEL"} mode`))}}const serverStore=new ServerStore,serverProps=()=>serverStore.props,serverLoading=()=>serverStore.loading,serverError=()=>serverStore.error,contextSize=()=>serverStore.contextSize,isRouterMode=()=>serverStore.isRouterMode;class SettingsStore{#config=state$1(proxy({...SETTING_CONFIG_DEFAULT}));get config(){return get$3(this.#config)}set config(value){set$1(this.#config,value,!0)}#theme=state$1("auto");get theme(){return get$3(this.#theme)}set theme(value){set$1(this.#theme,value,!0)}#isInitialized=state$1(
+!1);get isInitialized(){return get$3(this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#userOverrides=state$1(proxy(new Set));get userOverrides(){return get$3(this.#userOverrides)}set userOverrides(value){set$1(this.#userOverrides,value,!0)}getServerDefaults(){const serverParams=serverStore.defaultParams,webuiSettings=serverStore.webuiSettings;return ParameterSyncService.extractServerDefaults(serverParams,webuiSettings)}constructor(){this.initialize()}initialize(){
+try{this.loadConfig(),this.loadTheme(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize settings store:",error2)}}loadConfig(){try{const storedConfigRaw=localStorage.getItem(CONFIG_LOCALSTORAGE_KEY),savedVal=JSON.parse(storedConfigRaw||"{}");this.config={...SETTING_CONFIG_DEFAULT,...savedVal},"sendOnEnter"in savedVal||new IsMobile().current&&(this.config.sendOnEnter=!1);const savedOverrides=JSON.parse(localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY)||"[]");this.userOverrides=
+new Set(savedOverrides)}catch(error2){console.warn("Failed to parse config from localStorage, using defaults:",error2),this.config={...SETTING_CONFIG_DEFAULT},this.userOverrides=new Set}}loadTheme(){this.theme=localStorage.getItem("theme")||"auto"}updateConfig(key2,value){if(this.config[key2]=value,ParameterSyncService.canSyncParameter(key2)){const propsDefault=this.getServerDefaults()[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(
+propsDefault);normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}updateMultipleConfig(updates){Object.assign(this.config,updates);const propsDefaults=this.getServerDefaults();for(const[key2,value]of Object.entries(updates))if(ParameterSyncService.canSyncParameter(key2)){const propsDefault=propsDefaults[key2];if(propsDefault!==void 0){const normalizedValue=normalizeFloatingPoint(value),normalizedDefault=normalizeFloatingPoint(propsDefault);
+normalizedValue===normalizedDefault?this.userOverrides.delete(key2):this.userOverrides.add(key2)}}this.saveConfig()}saveConfig(){try{localStorage.setItem(CONFIG_LOCALSTORAGE_KEY,JSON.stringify(this.config)),localStorage.setItem(USER_OVERRIDES_LOCALSTORAGE_KEY,JSON.stringify(Array.from(this.userOverrides)))}catch(error2){console.error("Failed to save config to localStorage:",error2)}}updateTheme(newTheme){this.theme=newTheme,this.saveTheme()}saveTheme(){try{this.theme==="auto"?localStorage.removeItem(
+"theme"):localStorage.setItem("theme",this.theme)}catch(error2){console.error("Failed to save theme to localStorage:",error2)}}resetConfig(){this.config={...SETTING_CONFIG_DEFAULT},this.saveConfig()}resetTheme(){this.theme="auto",this.saveTheme()}resetAll(){this.resetConfig(),this.resetTheme()}resetParameterToServerDefault(key2){const serverDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):
+serverDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2),this.saveConfig()}syncWithServerDefaults(){const propsDefaults=this.getServerDefaults();if(Object.keys(propsDefaults).length===0)return;const webuiSettings=serverStore.webuiSettings,webuiSettingsKeys=new Set(webuiSettings?Object.keys(webuiSettings):[]);for(const[key2,propsValue]of Object.entries(
+propsDefaults)){const currentValue=getConfigValue(this.config,key2),normalizedCurrent=normalizeFloatingPoint(currentValue),normalizedDefault=normalizeFloatingPoint(propsValue);normalizedCurrent===normalizedDefault&&(this.userOverrides.delete(key2),!webuiSettingsKeys.has(key2)&&getConfigValue(SETTING_CONFIG_DEFAULT,key2)===void 0&&setConfigValue(this.config,key2,void 0))}if(webuiSettings)for(const[key2,value]of Object.entries(webuiSettings))!this.userOverrides.has(key2)&&value!==void 0&&setConfigValue(
+this.config,key2,value);this.saveConfig(),console.log("User overrides after sync:",Array.from(this.userOverrides))}forceSyncWithServerDefaults(){const propsDefaults=this.getServerDefaults(),webuiSettings=serverStore.webuiSettings;for(const key2 of ParameterSyncService.getSyncableParameterKeys())webuiSettings&&key2 in webuiSettings?setConfigValue(this.config,key2,webuiSettings[key2]):propsDefaults[key2]!==void 0?setConfigValue(this.config,key2,""):key2 in SETTING_CONFIG_DEFAULT&&setConfigValue(this.
+config,key2,getConfigValue(SETTING_CONFIG_DEFAULT,key2)),this.userOverrides.delete(key2);this.saveConfig()}getConfig(key2){return this.config[key2]}getAllConfig(){return{...this.config}}canSyncParameter(key2){return ParameterSyncService.canSyncParameter(key2)}getParameterInfo(key2){const propsDefaults=this.getServerDefaults(),currentValue=getConfigValue(this.config,key2);return ParameterSyncService.getParameterInfo(key2,currentValue??"",propsDefaults,this.userOverrides)}getParameterDiff(){const serverDefaults=this.
+getServerDefaults();if(Object.keys(serverDefaults).length===0)return{};const configAsRecord=configToParameterRecord(this.config,ParameterSyncService.getSyncableParameterKeys());return ParameterSyncService.createParameterDiff(configAsRecord,serverDefaults)}clearAllUserOverrides(){this.userOverrides.clear(),this.saveConfig(),console.log("Cleared all user overrides")}}const settingsStore=new SettingsStore,config$1=()=>settingsStore.config;function redactValue(value,showLastChars){return showLastChars?
+`....${value.slice(-showLastChars)}`:"[redacted]"}function getAuthHeaders(){const apiKey=config$1().apiKey?.toString().trim();return apiKey?{Authorization:`Bearer ${apiKey}`}:{}}function getJsonHeaders(){return{"Content-Type":"application/json",...getAuthHeaders()}}function sanitizeHeaders(headers,extraRedactedHeaders,partialRedactHeaders){if(!headers)return{};const normalized=new Headers(headers),sanitized={},redactedHeaders=new Set(Array.from(extraRedactedHeaders??[],header=>header.toLowerCase()));
+for(const[key2,value]of normalized.entries()){const normalizedKey=key2.toLowerCase(),partialChars=partialRedactHeaders?.get(normalizedKey);partialChars!==void 0?sanitized[key2]=redactValue(value,partialChars):REDACTED_HEADERS.has(normalizedKey)||redactedHeaders.has(normalizedKey)?sanitized[key2]=redactValue(value):sanitized[key2]=value}return sanitized}async function apiFetch(path2,options={}){const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders():
+getJsonHeaders(),...customHeaders},url2=path2.startsWith(UrlProtocol.HTTP)||path2.startsWith(UrlProtocol.HTTPS)?path2:`${base}${path2}`,response=await fetch(url2,{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiFetchWithParams(basePath,params,options={}){const url2=new URL(basePath,window.location.href);for(const[key2,value]of Object.entries(params))value!=null&&url2.searchParams.
+set(key2,value);const{authOnly=!1,headers:customHeaders,...fetchOptions}=options,headers={...authOnly?getAuthHeaders():getJsonHeaders(),...customHeaders},response=await fetch(url2.toString(),{...fetchOptions,headers});if(!response.ok){const errorMessage=await parseErrorMessage(response);throw new Error(errorMessage)}return response.json()}async function apiPost(path2,body2,options={}){return apiFetch(path2,{method:"POST",body:JSON.stringify(body2),...options})}async function parseErrorMessage(response){
+try{const errorData=await response.json();if(errorData?.error?.message)return errorData.error.message;if(errorData?.error&&typeof errorData.error=="string")return errorData.error;if(errorData?.message)return errorData.message}catch{}return`Request failed: ${response.status} ${response.statusText}`}function error(status,body2){throw new HttpError(status,body2)}async function validateApiKey(fetch2){try{const apiKey=config$1().apiKey,headers={"Content-Type":"application/json"};apiKey&&(headers.Authorization=
+`Bearer ${apiKey}`);const response=await fetch2(`${base}/props`,{headers});if(!response.ok){if(response.status===401||response.status===403)throw error(401,"Access denied");console.warn(`Server responded with status ${response.status} during API key validation`);return}}catch(err){if(err&&typeof err=="object"&&"status"in err)throw err;console.warn("Cannot connect to server for API key validation:",err)}}function isMcpPrompt(item){return!!(item.attachment?.type===AttachmentType.MCP_PROMPT||item.uploadedFile?.
+type===SpecialFileType.MCP_PROMPT&&item.uploadedFile.mcpPrompt)}function isMcpResource(item){return item.attachment?.type===AttachmentType.MCP_RESOURCE}function getUploadedFileCategory$1(file){const categoryByMime=getFileTypeCategory(file.type);return categoryByMime||getFileTypeCategoryByExtension(file.name)}function getAttachmentDisplayItems(options){const{uploadedFiles=[],attachments=[]}=options,items2=[];for(const file of uploadedFiles)items2.push({id:file.id,name:file.name,size:file.size,preview:file.
+preview,isImage:getUploadedFileCategory$1(file)===FileTypeCategory.IMAGE,isLoading:file.isLoading,loadError:file.loadError,uploadedFile:file,textContent:file.textContent});for(const[index2,attachment]of attachments.entries()){const isImage2=isImageFile(attachment);items2.push({id:`attachment-${index2}`,name:attachment.name,size:"size"in attachment?attachment.size:void 0,preview:isImage2&&"base64Url"in attachment?attachment.base64Url:void 0,isImage:isImage2,attachment,attachmentIndex:index2,textContent:"\
+content"in attachment?attachment.content:void 0})}return items2.reverse()}function getUploadedFileCategory(uploadedFile){const categoryByMime=getFileTypeCategory(uploadedFile.type);return categoryByMime||getFileTypeCategoryByExtension(uploadedFile.name)}function isTextFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.TEXT:attachment?attachment.type===AttachmentType.TEXT||attachment.type===AttachmentType.LEGACY_CONTEXT:!1}function isImageFile(attachment,uploadedFile){
+return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.IMAGE:attachment?attachment.type===AttachmentType.IMAGE:!1}function isPdfFile$1(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.PDF:attachment?attachment.type===AttachmentType.PDF:!1}function isAudioFile(attachment,uploadedFile){return uploadedFile?getUploadedFileCategory(uploadedFile)===FileTypeCategory.AUDIO:attachment?attachment.type===AttachmentType.AUDIO:!1}function autoResizeTextarea(textareaElement){
+textareaElement&&(textareaElement.style.height="1rem",textareaElement.style.height=textareaElement.scrollHeight+"px")}function findMessageById(messages,id2){if(id2)return messages.find(m=>m.id===id2)}function filterByLeafNodeId(messages,leafNodeId,includeRoot=!1){const result=[],nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let startNode=nodeMap.get(leafNodeId);if(!startNode){let latestTime=-1;for(const msg of messages)msg.timestamp>latestTime&&(startNode=msg,latestTime=msg.timestamp)}
+let currentNode=startNode;for(;currentNode&&((currentNode.type!=="root"||includeRoot)&&result.push(currentNode),currentNode.parent!==null);)currentNode=nodeMap.get(currentNode.parent);return result.sort((a,b)=>a.role===MessageRole.SYSTEM&&b.role!==MessageRole.SYSTEM?-1:a.role!==MessageRole.SYSTEM&&b.role===MessageRole.SYSTEM?1:a.timestamp-b.timestamp),result}function findLeafNode(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);let currentNode=nodeMap.get(
+messageId);for(;currentNode&&currentNode.children.length>0;){const lastChildId=currentNode.children[currentNode.children.length-1];currentNode=nodeMap.get(lastChildId)}return currentNode?.id??messageId}function findDescendantMessages(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const descendants=[],queue=[messageId];for(;queue.length>0;){const currentId=queue.shift(),currentNode=nodeMap.get(currentId);if(currentNode)for(const childId of currentNode.
+children)descendants.push(childId),queue.push(childId)}return descendants}function getMessageSiblings(messages,messageId){const nodeMap=new Map;for(const msg of messages)nodeMap.set(msg.id,msg);const message=nodeMap.get(messageId);if(!message)return null;if(message.parent===null)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const parentNode=nodeMap.get(message.parent);if(!parentNode)return{message,siblingIds:[messageId],currentIndex:0,totalSiblings:1};const siblingIds=parentNode.
+children,siblingLeafIds=siblingIds.map(siblingId=>findLeafNode(messages,siblingId)),currentIndex=siblingIds.indexOf(messageId);return{message,siblingIds:siblingLeafIds,currentIndex,totalSiblings:siblingIds.length}}var core$5,hasRequiredCore$4;function requireCore$4(){if(hasRequiredCore$4)return core$5;hasRequiredCore$4=1;function deepFreeze(obj){return obj instanceof Map?obj.clear=obj.delete=obj.set=function(){throw new Error("map is read-only")}:obj instanceof Set&&(obj.add=obj.clear=obj.delete=
+function(){throw new Error("set is read-only")}),Object.freeze(obj),Object.getOwnPropertyNames(obj).forEach(name=>{const prop2=obj[name],type2=typeof prop2;(type2==="object"||type2==="function")&&!Object.isFrozen(prop2)&&deepFreeze(prop2)}),obj}class Response2{constructor(mode){mode.data===void 0&&(mode.data={}),this.data=mode.data,this.isMatchIgnored=!1}ignoreMatch(){this.isMatchIgnored=!0}}function escapeHTML(value){return value.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(
+/"/g,"&quot;").replace(/'/g,"&#x27;")}function inherit$1(original,...objects){const result=Object.create(null);for(const key2 in original)result[key2]=original[key2];return objects.forEach(function(obj){for(const key2 in obj)result[key2]=obj[key2]}),result}const SPAN_CLOSE="</span>",emitsWrappingTags=node2=>!!node2.scope,scopeToCSSClass=(name,{prefix})=>{if(name.startsWith("language:"))return name.replace("language:","language-");if(name.includes(".")){const pieces=name.split(".");return[`${prefix}${pieces.
+shift()}`,...pieces.map((x,i)=>`${x}${"_".repeat(i+1)}`)].join(" ")}return`${prefix}${name}`};class HTMLRenderer{constructor(parseTree3,options){this.buffer="",this.classPrefix=options.classPrefix,parseTree3.walk(this)}addText(text2){this.buffer+=escapeHTML(text2)}openNode(node2){if(!emitsWrappingTags(node2))return;const className=scopeToCSSClass(node2.scope,{prefix:this.classPrefix});this.span(className)}closeNode(node2){emitsWrappingTags(node2)&&(this.buffer+=SPAN_CLOSE)}value(){return this.buffer}span(className){
+this.buffer+=`<span class="${className}">`}}const newNode=(opts={})=>{const result={children:[]};return Object.assign(result,opts),result};class TokenTree{constructor(){this.rootNode=newNode(),this.stack=[this.rootNode]}get top(){return this.stack[this.stack.length-1]}get root(){return this.rootNode}add(node2){this.top.children.push(node2)}openNode(scope2){const node2=newNode({scope:scope2});this.add(node2),this.stack.push(node2)}closeNode(){if(this.stack.length>1)return this.stack.pop()}closeAllNodes(){
+for(;this.closeNode(););}toJSON(){return JSON.stringify(this.rootNode,null,4)}walk(builder){return this.constructor._walk(builder,this.rootNode)}static _walk(builder,node2){return typeof node2=="string"?builder.addText(node2):node2.children&&(builder.openNode(node2),node2.children.forEach(child2=>this._walk(builder,child2)),builder.closeNode(node2)),builder}static _collapse(node2){typeof node2!="string"&&node2.children&&(node2.children.every(el=>typeof el=="string")?node2.children=[node2.children.
+join("")]:node2.children.forEach(child2=>{TokenTree._collapse(child2)}))}}class TokenTreeEmitter extends TokenTree{constructor(options){super(),this.options=options}addText(text2){text2!==""&&this.add(text2)}startScope(scope2){this.openNode(scope2)}endScope(){this.closeNode()}__addSublanguage(emitter,name){const node2=emitter.root;name&&(node2.scope=`language:${name}`),this.add(node2)}toHTML(){return new HTMLRenderer(this,this.options).value()}finalize(){return this.closeAllNodes(),!0}}function source2(re2){
+return re2?typeof re2=="string"?re2:re2.source:null}function lookahead2(re2){return concat2("(?=",re2,")")}function anyNumberOfTimes(re2){return concat2("(?:",re2,")*")}function optional2(re2){return concat2("(?:",re2,")?")}function concat2(...args){return args.map(x=>source2(x)).join("")}function stripOptionsFromArgs2(args){const opts=args[args.length-1];return typeof opts=="object"&&opts.constructor===Object?(args.splice(args.length-1,1),opts):{}}function either2(...args){return"("+(stripOptionsFromArgs2(
+args).capture?"":"?:")+args.map(x=>source2(x)).join("|")+")"}function countMatchGroups(re2){return new RegExp(re2.toString()+"|").exec("").length-1}function startsWith(re2,lexeme){const match=re2&&re2.exec(lexeme);return match&&match.index===0}const BACKREF_RE=/\[(?:[^\\\]]|\\.)*\]|\(\??|\\([1-9][0-9]*)|\\./;function _rewriteBackreferences(regexps,{joinWith}){let numCaptures=0;return regexps.map(regex=>{numCaptures+=1;const offset2=numCaptures;let re2=source2(regex),out="";for(;re2.length>0;){const match=BACKREF_RE.
+exec(re2);if(!match){out+=re2;break}out+=re2.substring(0,match.index),re2=re2.substring(match.index+match[0].length),match[0][0]==="\\"&&match[1]?out+="\\"+String(Number(match[1])+offset2):(out+=match[0],match[0]==="("&&numCaptures++)}return out}).map(re2=>`(${re2})`).join(joinWith)}const MATCH_NOTHING_RE=/\b\B/,IDENT_RE2="[a-zA-Z]\\w*",UNDERSCORE_IDENT_RE="[a-zA-Z_]\\w*",NUMBER_RE="\\b\\d+(\\.\\d+)?",C_NUMBER_RE="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",BINARY_NUMBER_RE="\
+\\b(0b[01]+)",RE_STARTERS_RE="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",SHEBANG=(opts={})=>{const beginShebang=/^#![ ]*\//;return opts.binary&&(opts.begin=concat2(beginShebang,/.*\b/,opts.binary,/\b.*/)),inherit$1({scope:"meta",begin:beginShebang,end:/$/,relevance:0,"on:begin":(m,resp)=>{m.index!==0&&resp.ignoreMatch()}},opts)},BACKSLASH_ESCAPE={begin:"\\\\[\\s\\S]",relevance:0},APOS_STRING_MODE={
+scope:"string",begin:"'",end:"'",illegal:"\\n",contains:[BACKSLASH_ESCAPE]},QUOTE_STRING_MODE={scope:"string",begin:'"',end:'"',illegal:"\\n",contains:[BACKSLASH_ESCAPE]},PHRASAL_WORDS_MODE={begin:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},COMMENT=function(begin,end,modeOptions={}){const mode=inherit$1({scope:"comment",begin,end,contains:[]},modeOptions);mode.contains.push({scope:"doctag",begin:"[ \
+]*(?=(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):)",end:/(TODO|FIXME|NOTE|BUG|OPTIMIZE|HACK|XXX):/,excludeBegin:!0,relevance:0});const ENGLISH_WORD=either2("I","a","is","so","us","to","at","if","in","it","on",/[A-Za-z]+['](d|ve|re|ll|t|s|n)/,/[A-Za-z]+[-][a-z]+/,/[A-Za-z][a-z]{2,}/);return mode.contains.push({begin:concat2(/[ ]+/,"(",ENGLISH_WORD,/[.]?[:]?([.][ ]|[ ])/,"){3}")}),mode},C_LINE_COMMENT_MODE=COMMENT("//","$"),C_BLOCK_COMMENT_MODE=COMMENT("/\\*","\\*/"),HASH_COMMENT_MODE=COMMENT("#","$"),
+NUMBER_MODE={scope:"number",begin:NUMBER_RE,relevance:0},C_NUMBER_MODE={scope:"number",begin:C_NUMBER_RE,relevance:0},BINARY_NUMBER_MODE={scope:"number",begin:BINARY_NUMBER_RE,relevance:0},REGEXP_MODE={scope:"regexp",begin:/\/(?=[^/\n]*\/)/,end:/\/[gimuy]*/,contains:[BACKSLASH_ESCAPE,{begin:/\[/,end:/\]/,relevance:0,contains:[BACKSLASH_ESCAPE]}]},TITLE_MODE={scope:"title",begin:IDENT_RE2,relevance:0},UNDERSCORE_TITLE_MODE={scope:"title",begin:UNDERSCORE_IDENT_RE,relevance:0},METHOD_GUARD={begin:"\
+\\.\\s*"+UNDERSCORE_IDENT_RE,relevance:0};var MODES2=Object.freeze({__proto__:null,APOS_STRING_MODE,BACKSLASH_ESCAPE,BINARY_NUMBER_MODE,BINARY_NUMBER_RE,COMMENT,C_BLOCK_COMMENT_MODE,C_LINE_COMMENT_MODE,C_NUMBER_MODE,C_NUMBER_RE,END_SAME_AS_BEGIN:function(mode){return Object.assign(mode,{"on:begin":(m,resp)=>{resp.data._beginMatch=m[1]},"on:end":(m,resp)=>{resp.data._beginMatch!==m[1]&&resp.ignoreMatch()}})},HASH_COMMENT_MODE,IDENT_RE:IDENT_RE2,MATCH_NOTHING_RE,METHOD_GUARD,NUMBER_MODE,NUMBER_RE,
+PHRASAL_WORDS_MODE,QUOTE_STRING_MODE,REGEXP_MODE,RE_STARTERS_RE,SHEBANG,TITLE_MODE,UNDERSCORE_IDENT_RE,UNDERSCORE_TITLE_MODE});function skipIfHasPrecedingDot(match,response){match.input[match.index-1]==="."&&response.ignoreMatch()}function scopeClassName(mode,_parent){mode.className!==void 0&&(mode.scope=mode.className,delete mode.className)}function beginKeywords(mode,parent){parent&&mode.beginKeywords&&(mode.begin="\\b("+mode.beginKeywords.split(" ").join("|")+")(?!\\.)(?=\\b|\\s)",mode.__beforeBegin=
+skipIfHasPrecedingDot,mode.keywords=mode.keywords||mode.beginKeywords,delete mode.beginKeywords,mode.relevance===void 0&&(mode.relevance=0))}function compileIllegal(mode,_parent){Array.isArray(mode.illegal)&&(mode.illegal=either2(...mode.illegal))}function compileMatch(mode,_parent){if(mode.match){if(mode.begin||mode.end)throw new Error("begin & end are not supported with match");mode.begin=mode.match,delete mode.match}}function compileRelevance(mode,_parent){mode.relevance===void 0&&(mode.relevance=
+1)}const beforeMatchExt=(mode,parent)=>{if(!mode.beforeMatch)return;if(mode.starts)throw new Error("beforeMatch cannot be used with starts");const originalMode=Object.assign({},mode);Object.keys(mode).forEach(key2=>{delete mode[key2]}),mode.keywords=originalMode.keywords,mode.begin=concat2(originalMode.beforeMatch,lookahead2(originalMode.begin)),mode.starts={relevance:0,contains:[Object.assign(originalMode,{endsParent:!0})]},mode.relevance=0,delete originalMode.beforeMatch},COMMON_KEYWORDS=["of",
+"and","for","in","not","or","if","then","parent","list","value"],DEFAULT_KEYWORD_SCOPE="keyword";function compileKeywords(rawKeywords,caseInsensitive,scopeName=DEFAULT_KEYWORD_SCOPE){const compiledKeywords=Object.create(null);return typeof rawKeywords=="string"?compileList(scopeName,rawKeywords.split(" ")):Array.isArray(rawKeywords)?compileList(scopeName,rawKeywords):Object.keys(rawKeywords).forEach(function(scopeName2){Object.assign(compiledKeywords,compileKeywords(rawKeywords[scopeName2],caseInsensitive,
+scopeName2))}),compiledKeywords;function compileList(scopeName2,keywordList){caseInsensitive&&(keywordList=keywordList.map(x=>x.toLowerCase())),keywordList.forEach(function(keyword2){const pair=keyword2.split("|");compiledKeywords[pair[0]]=[scopeName2,scoreForKeyword(pair[0],pair[1])]})}}function scoreForKeyword(keyword2,providedScore){return providedScore?Number(providedScore):commonKeyword(keyword2)?0:1}function commonKeyword(keyword2){return COMMON_KEYWORDS.includes(keyword2.toLowerCase())}const seenDeprecations={},
+error2=message=>{console.error(message)},warn2=(message,...args)=>{console.log(`WARN: ${message}`,...args)},deprecated2=(version3,message)=>{seenDeprecations[`${version3}/${message}`]||(console.log(`Deprecated as of ${version3}. ${message}`),seenDeprecations[`${version3}/${message}`]=!0)},MultiClassError=new Error;function remapScopeNames(mode,regexes,{key:key2}){let offset2=0;const scopeNames=mode[key2],emit={},positions={};for(let i=1;i<=regexes.length;i++)positions[i+offset2]=scopeNames[i],emit[i+
+offset2]=!0,offset2+=countMatchGroups(regexes[i-1]);mode[key2]=positions,mode[key2]._emit=emit,mode[key2]._multi=!0}function beginMultiClass(mode){if(Array.isArray(mode.begin)){if(mode.skip||mode.excludeBegin||mode.returnBegin)throw error2("skip, excludeBegin, returnBegin not compatible with beginScope: {}"),MultiClassError;if(typeof mode.beginScope!="object"||mode.beginScope===null)throw error2("beginScope must be object"),MultiClassError;remapScopeNames(mode,mode.begin,{key:"beginScope"}),mode.
+begin=_rewriteBackreferences(mode.begin,{joinWith:""})}}function endMultiClass(mode){if(Array.isArray(mode.end)){if(mode.skip||mode.excludeEnd||mode.returnEnd)throw error2("skip, excludeEnd, returnEnd not compatible with endScope: {}"),MultiClassError;if(typeof mode.endScope!="object"||mode.endScope===null)throw error2("endScope must be object"),MultiClassError;remapScopeNames(mode,mode.end,{key:"endScope"}),mode.end=_rewriteBackreferences(mode.end,{joinWith:""})}}function scopeSugar(mode){mode.
+scope&&typeof mode.scope=="object"&&mode.scope!==null&&(mode.beginScope=mode.scope,delete mode.scope)}function MultiClass(mode){scopeSugar(mode),typeof mode.beginScope=="string"&&(mode.beginScope={_wrap:mode.beginScope}),typeof mode.endScope=="string"&&(mode.endScope={_wrap:mode.endScope}),beginMultiClass(mode),endMultiClass(mode)}function compileLanguage(language2){function langRe(value,global2){return new RegExp(source2(value),"m"+(language2.case_insensitive?"i":"")+(language2.unicodeRegex?"u":
+"")+(global2?"g":""))}class MultiRegex{constructor(){this.matchIndexes={},this.regexes=[],this.matchAt=1,this.position=0}addRule(re2,opts){opts.position=this.position++,this.matchIndexes[this.matchAt]=opts,this.regexes.push([opts,re2]),this.matchAt+=countMatchGroups(re2)+1}compile(){this.regexes.length===0&&(this.exec=()=>null);const terminators=this.regexes.map(el=>el[1]);this.matcherRe=langRe(_rewriteBackreferences(terminators,{joinWith:"|"}),!0),this.lastIndex=0}exec(s2){this.matcherRe.lastIndex=
+this.lastIndex;const match=this.matcherRe.exec(s2);if(!match)return null;const i=match.findIndex((el,i2)=>i2>0&&el!==void 0),matchData=this.matchIndexes[i];return match.splice(0,i),Object.assign(match,matchData)}}class ResumableMultiRegex{constructor(){this.rules=[],this.multiRegexes=[],this.count=0,this.lastIndex=0,this.regexIndex=0}getMatcher(index2){if(this.multiRegexes[index2])return this.multiRegexes[index2];const matcher=new MultiRegex;return this.rules.slice(index2).forEach(([re2,opts])=>matcher.
+addRule(re2,opts)),matcher.compile(),this.multiRegexes[index2]=matcher,matcher}resumingScanAtSamePosition(){return this.regexIndex!==0}considerAll(){this.regexIndex=0}addRule(re2,opts){this.rules.push([re2,opts]),opts.type==="begin"&&this.count++}exec(s2){const m=this.getMatcher(this.regexIndex);m.lastIndex=this.lastIndex;let result=m.exec(s2);if(this.resumingScanAtSamePosition()&&!(result&&result.index===this.lastIndex)){const m2=this.getMatcher(0);m2.lastIndex=this.lastIndex+1,result=m2.exec(s2)}
+return result&&(this.regexIndex+=result.position+1,this.regexIndex===this.count&&this.considerAll()),result}}function buildModeRegex(mode){const mm=new ResumableMultiRegex;return mode.contains.forEach(term=>mm.addRule(term.begin,{rule:term,type:"begin"})),mode.terminatorEnd&&mm.addRule(mode.terminatorEnd,{type:"end"}),mode.illegal&&mm.addRule(mode.illegal,{type:"illegal"}),mm}function compileMode(mode,parent){const cmode=mode;if(mode.isCompiled)return cmode;[scopeClassName,compileMatch,MultiClass,
+beforeMatchExt].forEach(ext=>ext(mode,parent)),language2.compilerExtensions.forEach(ext=>ext(mode,parent)),mode.__beforeBegin=null,[beginKeywords,compileIllegal,compileRelevance].forEach(ext=>ext(mode,parent)),mode.isCompiled=!0;let keywordPattern=null;return typeof mode.keywords=="object"&&mode.keywords.$pattern&&(mode.keywords=Object.assign({},mode.keywords),keywordPattern=mode.keywords.$pattern,delete mode.keywords.$pattern),keywordPattern=keywordPattern||/\w+/,mode.keywords&&(mode.keywords=compileKeywords(
+mode.keywords,language2.case_insensitive)),cmode.keywordPatternRe=langRe(keywordPattern,!0),parent&&(mode.begin||(mode.begin=/\B|\b/),cmode.beginRe=langRe(cmode.begin),!mode.end&&!mode.endsWithParent&&(mode.end=/\B|\b/),mode.end&&(cmode.endRe=langRe(cmode.end)),cmode.terminatorEnd=source2(cmode.end)||"",mode.endsWithParent&&parent.terminatorEnd&&(cmode.terminatorEnd+=(mode.end?"|":"")+parent.terminatorEnd)),mode.illegal&&(cmode.illegalRe=langRe(mode.illegal)),mode.contains||(mode.contains=[]),mode.
+contains=[].concat(...mode.contains.map(function(c2){return expandOrCloneMode(c2==="self"?mode:c2)})),mode.contains.forEach(function(c2){compileMode(c2,cmode)}),mode.starts&&compileMode(mode.starts,parent),cmode.matcher=buildModeRegex(cmode),cmode}if(language2.compilerExtensions||(language2.compilerExtensions=[]),language2.contains&&language2.contains.includes("self"))throw new Error("ERR: contains `self` is not supported at the top-level of a language.  See documentation.");return language2.classNameAliases=
+inherit$1(language2.classNameAliases||{}),compileMode(language2)}function dependencyOnParent(mode){return mode?mode.endsWithParent||dependencyOnParent(mode.starts):!1}function expandOrCloneMode(mode){return mode.variants&&!mode.cachedVariants&&(mode.cachedVariants=mode.variants.map(function(variant){return inherit$1(mode,{variants:null},variant)})),mode.cachedVariants?mode.cachedVariants:dependencyOnParent(mode)?inherit$1(mode,{starts:mode.starts?inherit$1(mode.starts):null}):Object.isFrozen(mode)?
+inherit$1(mode):mode}var version2="11.11.1";class HTMLInjectionError extends Error{constructor(reason,html2){super(reason),this.name="HTMLInjectionError",this.html=html2}}const escape2=escapeHTML,inherit=inherit$1,NO_MATCH=Symbol("nomatch"),MAX_KEYWORD_HITS=7,HLJS=function(hljs){const languages=Object.create(null),aliases=Object.create(null),plugins=[];let SAFE_MODE=!0;const LANGUAGE_NOT_FOUND="Could not find the language '{}', did you forget to load/include a language module?",PLAINTEXT_LANGUAGE={
+disableAutodetect:!0,name:"Plain text",contains:[]};let options={ignoreUnescapedHTML:!1,throwUnescapedHTML:!1,noHighlightRe:/^(no-?highlight)$/i,languageDetectRe:/\blang(?:uage)?-([\w-]+)\b/i,classPrefix:"hljs-",cssSelector:"pre code",languages:null,__emitter:TokenTreeEmitter};function shouldNotHighlight(languageName){return options.noHighlightRe.test(languageName)}function blockLanguage(block2){let classes=block2.className+" ";classes+=block2.parentNode?block2.parentNode.className:"";const match=options.
+languageDetectRe.exec(classes);if(match){const language2=getLanguage(match[1]);return language2||(warn2(LANGUAGE_NOT_FOUND.replace("{}",match[1])),warn2("Falling back to no-highlight mode for this block.",block2)),language2?match[1]:"no-highlight"}return classes.split(/\s+/).find(_class=>shouldNotHighlight(_class)||getLanguage(_class))}function highlight2(codeOrLanguageName,optionsOrCode,ignoreIllegals){let code2="",languageName="";typeof optionsOrCode=="object"?(code2=codeOrLanguageName,ignoreIllegals=
+optionsOrCode.ignoreIllegals,languageName=optionsOrCode.language):(deprecated2("10.7.0","highlight(lang, code, ...args) has been deprecated."),deprecated2("10.7.0",`Please use highlight(code, options) instead.
+https://github.com/highlightjs/highlight.js/issues/2277`),languageName=codeOrLanguageName,code2=optionsOrCode),ignoreIllegals===void 0&&(ignoreIllegals=!0);const context={code:code2,language:languageName};fire("before:highlight",context);const result=context.result?context.result:_highlight(context.language,context.code,ignoreIllegals);return result.code=context.code,fire("after:highlight",result),result}function _highlight(languageName,codeToHighlight,ignoreIllegals,continuation){const keywordHits=Object.
+create(null);function keywordData(mode,matchText){return mode.keywords[matchText]}function processKeywords(){if(!top.keywords){emitter.addText(modeBuffer);return}let lastIndex=0;top.keywordPatternRe.lastIndex=0;let match=top.keywordPatternRe.exec(modeBuffer),buf="";for(;match;){buf+=modeBuffer.substring(lastIndex,match.index);const word=language2.case_insensitive?match[0].toLowerCase():match[0],data=keywordData(top,word);if(data){const[kind,keywordRelevance]=data;if(emitter.addText(buf),buf="",keywordHits[word]=
+(keywordHits[word]||0)+1,keywordHits[word]<=MAX_KEYWORD_HITS&&(relevance+=keywordRelevance),kind.startsWith("_"))buf+=match[0];else{const cssClass=language2.classNameAliases[kind]||kind;emitKeyword(match[0],cssClass)}}else buf+=match[0];lastIndex=top.keywordPatternRe.lastIndex,match=top.keywordPatternRe.exec(modeBuffer)}buf+=modeBuffer.substring(lastIndex),emitter.addText(buf)}function processSubLanguage(){if(modeBuffer==="")return;let result2=null;if(typeof top.subLanguage=="string"){if(!languages[top.
+subLanguage]){emitter.addText(modeBuffer);return}result2=_highlight(top.subLanguage,modeBuffer,!0,continuations[top.subLanguage]),continuations[top.subLanguage]=result2._top}else result2=highlightAuto(modeBuffer,top.subLanguage.length?top.subLanguage:null);top.relevance>0&&(relevance+=result2.relevance),emitter.__addSublanguage(result2._emitter,result2.language)}function processBuffer(){top.subLanguage!=null?processSubLanguage():processKeywords(),modeBuffer=""}function emitKeyword(keyword2,scope2){
+keyword2!==""&&(emitter.startScope(scope2),emitter.addText(keyword2),emitter.endScope())}function emitMultiClass(scope2,match){let i=1;const max2=match.length-1;for(;i<=max2;){if(!scope2._emit[i]){i++;continue}const klass=language2.classNameAliases[scope2[i]]||scope2[i],text2=match[i];klass?emitKeyword(text2,klass):(modeBuffer=text2,processKeywords(),modeBuffer=""),i++}}function startNewMode(mode,match){return mode.scope&&typeof mode.scope=="string"&&emitter.openNode(language2.classNameAliases[mode.
+scope]||mode.scope),mode.beginScope&&(mode.beginScope._wrap?(emitKeyword(modeBuffer,language2.classNameAliases[mode.beginScope._wrap]||mode.beginScope._wrap),modeBuffer=""):mode.beginScope._multi&&(emitMultiClass(mode.beginScope,match),modeBuffer="")),top=Object.create(mode,{parent:{value:top}}),top}function endOfMode(mode,match,matchPlusRemainder){let matched=startsWith(mode.endRe,matchPlusRemainder);if(matched){if(mode["on:end"]){const resp=new Response2(mode);mode["on:end"](match,resp),resp.isMatchIgnored&&
+(matched=!1)}if(matched){for(;mode.endsParent&&mode.parent;)mode=mode.parent;return mode}}if(mode.endsWithParent)return endOfMode(mode.parent,match,matchPlusRemainder)}function doIgnore(lexeme){return top.matcher.regexIndex===0?(modeBuffer+=lexeme[0],1):(resumeScanAtSamePosition=!0,0)}function doBeginMatch(match){const lexeme=match[0],newMode=match.rule,resp=new Response2(newMode),beforeCallbacks=[newMode.__beforeBegin,newMode["on:begin"]];for(const cb of beforeCallbacks)if(cb&&(cb(match,resp),resp.
+isMatchIgnored))return doIgnore(lexeme);return newMode.skip?modeBuffer+=lexeme:(newMode.excludeBegin&&(modeBuffer+=lexeme),processBuffer(),!newMode.returnBegin&&!newMode.excludeBegin&&(modeBuffer=lexeme)),startNewMode(newMode,match),newMode.returnBegin?0:lexeme.length}function doEndMatch(match){const lexeme=match[0],matchPlusRemainder=codeToHighlight.substring(match.index),endMode=endOfMode(top,match,matchPlusRemainder);if(!endMode)return NO_MATCH;const origin2=top;top.endScope&&top.endScope._wrap?
+(processBuffer(),emitKeyword(lexeme,top.endScope._wrap)):top.endScope&&top.endScope._multi?(processBuffer(),emitMultiClass(top.endScope,match)):origin2.skip?modeBuffer+=lexeme:(origin2.returnEnd||origin2.excludeEnd||(modeBuffer+=lexeme),processBuffer(),origin2.excludeEnd&&(modeBuffer=lexeme));do top.scope&&emitter.closeNode(),!top.skip&&!top.subLanguage&&(relevance+=top.relevance),top=top.parent;while(top!==endMode.parent);return endMode.starts&&startNewMode(endMode.starts,match),origin2.returnEnd?
+0:lexeme.length}function processContinuations(){const list2=[];for(let current2=top;current2!==language2;current2=current2.parent)current2.scope&&list2.unshift(current2.scope);list2.forEach(item=>emitter.openNode(item))}let lastMatch={};function processLexeme(textBeforeMatch,match){const lexeme=match&&match[0];if(modeBuffer+=textBeforeMatch,lexeme==null)return processBuffer(),0;if(lastMatch.type==="begin"&&match.type==="end"&&lastMatch.index===match.index&&lexeme===""){if(modeBuffer+=codeToHighlight.
+slice(match.index,match.index+1),!SAFE_MODE){const err=new Error(`0 width match regex (${languageName})`);throw err.languageName=languageName,err.badRule=lastMatch.rule,err}return 1}if(lastMatch=match,match.type==="begin")return doBeginMatch(match);if(match.type==="illegal"&&!ignoreIllegals){const err=new Error('Illegal lexeme "'+lexeme+'" for mode "'+(top.scope||"<unnamed>")+'"');throw err.mode=top,err}else if(match.type==="end"){const processed=doEndMatch(match);if(processed!==NO_MATCH)return processed}
+if(match.type==="illegal"&&lexeme==="")return modeBuffer+=`
+`,1;if(iterations>1e5&&iterations>match.index*3)throw new Error("potential infinite loop, way more iterations than matches");return modeBuffer+=lexeme,lexeme.length}const language2=getLanguage(languageName);if(!language2)throw error2(LANGUAGE_NOT_FOUND.replace("{}",languageName)),new Error('Unknown language: "'+languageName+'"');const md=compileLanguage(language2);let result="",top=continuation||md;const continuations={},emitter=new options.__emitter(options);processContinuations();let modeBuffer="",
+relevance=0,index2=0,iterations=0,resumeScanAtSamePosition=!1;try{if(language2.__emitTokens)language2.__emitTokens(codeToHighlight,emitter);else{for(top.matcher.considerAll();;){iterations++,resumeScanAtSamePosition?resumeScanAtSamePosition=!1:top.matcher.considerAll(),top.matcher.lastIndex=index2;const match=top.matcher.exec(codeToHighlight);if(!match)break;const beforeMatch=codeToHighlight.substring(index2,match.index),processedCount=processLexeme(beforeMatch,match);index2=match.index+processedCount}
+processLexeme(codeToHighlight.substring(index2))}return emitter.finalize(),result=emitter.toHTML(),{language:languageName,value:result,relevance,illegal:!1,_emitter:emitter,_top:top}}catch(err){if(err.message&&err.message.includes("Illegal"))return{language:languageName,value:escape2(codeToHighlight),illegal:!0,relevance:0,_illegalBy:{message:err.message,index:index2,context:codeToHighlight.slice(index2-100,index2+100),mode:err.mode,resultSoFar:result},_emitter:emitter};if(SAFE_MODE)return{language:languageName,
+value:escape2(codeToHighlight),illegal:!1,relevance:0,errorRaised:err,_emitter:emitter,_top:top};throw err}}function justTextHighlightResult(code2){const result={value:escape2(code2),illegal:!1,relevance:0,_top:PLAINTEXT_LANGUAGE,_emitter:new options.__emitter(options)};return result._emitter.addText(code2),result}function highlightAuto(code2,languageSubset){languageSubset=languageSubset||options.languages||Object.keys(languages);const plaintext2=justTextHighlightResult(code2),results=languageSubset.
+filter(getLanguage).filter(autoDetection).map(name=>_highlight(name,code2,!1));results.unshift(plaintext2);const sorted=results.sort((a,b)=>{if(a.relevance!==b.relevance)return b.relevance-a.relevance;if(a.language&&b.language){if(getLanguage(a.language).supersetOf===b.language)return 1;if(getLanguage(b.language).supersetOf===a.language)return-1}return 0}),[best,secondBest]=sorted,result=best;return result.secondBest=secondBest,result}function updateClassName(element2,currentLang,resultLang){const language2=currentLang&&
+aliases[currentLang]||resultLang;element2.classList.add("hljs"),element2.classList.add(`language-${language2}`)}function highlightElement(element2){let node2=null;const language2=blockLanguage(element2);if(shouldNotHighlight(language2))return;if(fire("before:highlightElement",{el:element2,language:language2}),element2.dataset.highlighted){console.log("Element previously highlighted. To highlight again, first unset `dataset.highlighted`.",element2);return}if(element2.children.length>0&&(options.ignoreUnescapedHTML||
+(console.warn("One of your code blocks includes unescaped HTML. This is a potentially serious security risk."),console.warn("https://github.com/highlightjs/highlight.js/wiki/security"),console.warn("The element with unescaped HTML:"),console.warn(element2)),options.throwUnescapedHTML))throw new HTMLInjectionError("One of your code blocks includes unescaped HTML.",element2.innerHTML);node2=element2;const text2=node2.textContent,result=language2?highlight2(text2,{language:language2,ignoreIllegals:!0}):
+highlightAuto(text2);element2.innerHTML=result.value,element2.dataset.highlighted="yes",updateClassName(element2,language2,result.language),element2.result={language:result.language,re:result.relevance,relevance:result.relevance},result.secondBest&&(element2.secondBest={language:result.secondBest.language,relevance:result.secondBest.relevance}),fire("after:highlightElement",{el:element2,result,text:text2})}function configure2(userOptions){options=inherit(options,userOptions)}const initHighlighting=()=>{
+highlightAll(),deprecated2("10.6.0","initHighlighting() deprecated.  Use highlightAll() now.")};function initHighlightingOnLoad(){highlightAll(),deprecated2("10.6.0","initHighlightingOnLoad() deprecated.  Use highlightAll() now.")}let wantsHighlight=!1;function highlightAll(){function boot(){highlightAll()}if(document.readyState==="loading"){wantsHighlight||window.addEventListener("DOMContentLoaded",boot,!1),wantsHighlight=!0;return}document.querySelectorAll(options.cssSelector).forEach(highlightElement)}
+function registerLanguage(languageName,languageDefinition){let lang=null;try{lang=languageDefinition(hljs)}catch(error$1){if(error2("Language definition for '{}' could not be registered.".replace("{}",languageName)),SAFE_MODE)error2(error$1);else throw error$1;lang=PLAINTEXT_LANGUAGE}lang.name||(lang.name=languageName),languages[languageName]=lang,lang.rawDefinition=languageDefinition.bind(null,hljs),lang.aliases&&registerAliases(lang.aliases,{languageName})}function unregisterLanguage(languageName){
+delete languages[languageName];for(const alias of Object.keys(aliases))aliases[alias]===languageName&&delete aliases[alias]}function listLanguages(){return Object.keys(languages)}function getLanguage(name){return name=(name||"").toLowerCase(),languages[name]||languages[aliases[name]]}function registerAliases(aliasList,{languageName}){typeof aliasList=="string"&&(aliasList=[aliasList]),aliasList.forEach(alias=>{aliases[alias.toLowerCase()]=languageName})}function autoDetection(name){const lang=getLanguage(
+name);return lang&&!lang.disableAutodetect}function upgradePluginAPI(plugin){plugin["before:highlightBlock"]&&!plugin["before:highlightElement"]&&(plugin["before:highlightElement"]=data=>{plugin["before:highlightBlock"](Object.assign({block:data.el},data))}),plugin["after:highlightBlock"]&&!plugin["after:highlightElement"]&&(plugin["after:highlightElement"]=data=>{plugin["after:highlightBlock"](Object.assign({block:data.el},data))})}function addPlugin(plugin){upgradePluginAPI(plugin),plugins.push(
+plugin)}function removePlugin(plugin){const index2=plugins.indexOf(plugin);index2!==-1&&plugins.splice(index2,1)}function fire(event2,args){const cb=event2;plugins.forEach(function(plugin){plugin[cb]&&plugin[cb](args)})}function deprecateHighlightBlock(el){return deprecated2("10.7.0","highlightBlock will be removed entirely in v12.0"),deprecated2("10.7.0","Please use highlightElement now."),highlightElement(el)}Object.assign(hljs,{highlight:highlight2,highlightAuto,highlightAll,highlightElement,
+highlightBlock:deprecateHighlightBlock,configure:configure2,initHighlighting,initHighlightingOnLoad,registerLanguage,unregisterLanguage,listLanguages,getLanguage,registerAliases,autoDetection,inherit,addPlugin,removePlugin}),hljs.debugMode=function(){SAFE_MODE=!1},hljs.safeMode=function(){SAFE_MODE=!0},hljs.versionString=version2,hljs.regex={concat:concat2,lookahead:lookahead2,either:either2,optional:optional2,anyNumberOfTimes};for(const key2 in MODES2)typeof MODES2[key2]=="object"&&deepFreeze(MODES2[key2]);
+return Object.assign(hljs,MODES2),hljs},highlight=HLJS({});return highlight.newInstance=()=>HLJS({}),core$5=highlight,highlight.HighlightJS=highlight,highlight.default=highlight,core$5}var _1c_1,hasRequired_1c;function require_1c(){if(hasRequired_1c)return _1c_1;hasRequired_1c=1;function _1c2(hljs){const UNDERSCORE_IDENT_RE="[A-Za-zА-Яа-яёЁ_][A-Za-zА-Яа-яёЁ_0-9]+",KEYWORD="далее "+"возврат вызватьисключение выполнить для если и из или иначе иначеесли исключение каждого конецесли\
+ конецпопытки конеццикла не новый перейти перем по пока попытка прервать продолжить тогда цикл экспорт ",METAKEYWORD="загрузитьизфайла "+"вебклиент вместо внешнеесоединение клиент конецобласти мобильноеприложениеклиент мобильноеприложениесервер наклиенте наклиентенасервере наклиентенасерверебезконтекста насервере насерверебезконтекста область перед после сервер толстыйклиентобычноеприложение т\
+олстыйклиентуправляемоеприложение тонкийклиент ",BUILTIN="разделительстраниц разделительстрок символтабуляции "+"ansitooem oemtoansi ввестивидсубконто ввестиперечисление ввестипериод ввестиплансчетов выбранныйплансчетов датагод датамесяц датачисло заголовоксистемы значениевстроку значениеизстроки каталогиб каталогпользователя кодсимв конгода конецпериодаби конецрассчитанногопериодаби конецстандартногоин\
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+"acos asin atan base64значение base64строка cos exp log log10 pow sin sqrt tan xmlзначение xmlстрока xmlтип xmlтипзнч активноеокно безопасныйрежим безопасныйрежимразделенияданных булево ввестидату ввестизначение ввестистроку ввестичисло возможностьчтенияxml вопрос восстановитьзначение врег выгрузитьжурналрегистрации выполнитьобработкуоповещения выполнитьпроверкуправдоступа вычислить год данныеформывзначение дата день деньгода деньнедели добавитьмесяц заблокироватьданныедляредактирования заблокир\
+оватьработупользователя завершитьработусистемы загрузитьвнешнююкомпоненту закрытьсправку записатьjson записатьxml записатьдатуjson записьжурналарегистрации заполнитьзначениясвойств запроситьразрешениепользователя запуститьприложение запуститьсистему зафиксироватьтранзакцию значениевданныеформы значениевстрокувнутр значениевфайл значениезаполнено значениеизстрокивнутр значениеизфайла изxmlтипа импортмоделиxdto имякомпьютера имяпользователя инициализироватьпредопределенныеданные информацияобошибке\
+ каталогбиблиотекимобильногоустройства каталогвременныхфайлов каталогдокументов каталогпрограммы кодироватьстроку кодлокализацииинформационнойбазы кодсимвола командасистемы конецгода конецдня конецквартала конецмесяца конецминуты конецнедели конецчаса конфигурациябазыданныхизмененадинамически конфигурацияизменена копироватьданныеформы копироватьфайл краткоепредставлениеошибки лев макс местноевремя месяц мин минута монопольныйрежим найти найтинедопустимыесимволыxml найтиокнопонавигационнойссылке \
+найтипомеченныенаудаление найтипоссылкам найтифайлы началогода началодня началоквартала началомесяца началоминуты началонедели началочаса начатьзапросразрешенияпользователя начатьзапускприложения начатькопированиефайла начатьперемещениефайла начатьподключениевнешнейкомпоненты начатьподключениерасширенияработыскриптографией начатьподключениерасширенияработысфайлами начатьпоискфайлов начатьполучениекаталогавременныхфайлов начатьполучениекаталогадокументов начатьполучениерабочегокаталогаданныхпольз\
+ователя начатьполучениефайлов начатьпомещениефайла начатьпомещениефайлов начатьсозданиедвоичныхданныхизфайла начатьсозданиекаталога начатьтранзакцию начатьудалениефайлов начатьустановкувнешнейкомпоненты начатьустановкурасширенияработыскриптографией начатьустановкурасширенияработысфайлами неделягода необходимостьзавершениясоединения номерсеансаинформационнойбазы номерсоединенияинформационнойбазы нрег нстр обновитьинтерфейс обновитьнумерациюобъектов обновитьповторноиспользуемыезначения обработкапр\
+ерыванияпользователя объединитьфайлы окр описаниеошибки оповестить оповеститьобизменении отключитьобработчикзапросанастроекклиенталицензирования отключитьобработчикожидания отключитьобработчикоповещения открытьзначение открытьиндекссправки открытьсодержаниесправки открытьсправку открытьформу открытьформумодально отменитьтранзакцию очиститьжурналрегистрации очиститьнастройкипользователя очиститьсообщения параметрыдоступа перейтипонавигационнойссылке переместитьфайл подключитьвнешнююкомпоненту под\
+ключитьобработчикзапросанастроекклиенталицензирования подключитьобработчикожидания подключитьобработчикоповещения подключитьрасширениеработыскриптографией подключитьрасширениеработысфайлами подробноепредставлениеошибки показатьвводдаты показатьвводзначения показатьвводстроки показатьвводчисла показатьвопрос показатьзначение показатьинформациюобошибке показатьнакарте показатьоповещениепользователя показатьпредупреждение полноеимяпользователя получитьcomобъект получитьxmlтип получитьадреспоместопо\
+ложению получитьблокировкусеансов получитьвремязавершенияспящегосеанса получитьвремязасыпанияпассивногосеанса получитьвремяожиданияблокировкиданных получитьданныевыбора получитьдополнительныйпараметрклиенталицензирования получитьдопустимыекодылокализации получитьдопустимыечасовыепояса получитьзаголовокклиентскогоприложения получитьзаголовоксистемы получитьзначенияотборажурналарегистрации получитьидентификаторконфигурации получитьизвременногохранилища получитьимявременногофайла получитьимяклиента\
+лицензирования получитьинформациюэкрановклиента получитьиспользованиежурналарегистрации получитьиспользованиесобытияжурналарегистрации получитькраткийзаголовокприложения получитьмакетоформления получитьмаскувсефайлы получитьмаскувсефайлыклиента получитьмаскувсефайлысервера получитьместоположениепоадресу получитьминимальнуюдлинупаролейпользователей получитьнавигационнуюссылку получитьнавигационнуюссылкуинформационнойбазы получитьобновлениеконфигурациибазыданных получитьобновлениепредопределенныхд\
+анныхинформационнойбазы получитьобщиймакет получитьобщуюформу получитьокна получитьоперативнуюотметкувремени получитьотключениебезопасногорежима получитьпараметрыфункциональныхопцийинтерфейса получитьполноеимяпредопределенногозначения получитьпредставлениянавигационныхссылок получитьпроверкусложностипаролейпользователей получитьразделительпути получитьразделительпутиклиента получитьразделительпутисервера получитьсеансыинформационнойбазы получитьскоростьклиентскогосоединения получитьсоединенияинф\
+ормационнойбазы получитьсообщенияпользователю получитьсоответствиеобъектаиформы получитьсоставстандартногоинтерфейсаodata получитьструктурухранениябазыданных получитьтекущийсеансинформационнойбазы получитьфайл получитьфайлы получитьформу получитьфункциональнуюопцию получитьфункциональнуюопциюинтерфейса получитьчасовойпоясинформационнойбазы пользователиос поместитьвовременноехранилище поместитьфайл поместитьфайлы прав праводоступа предопределенноезначение представлениекодалокализации представлени\
+епериода представлениеправа представлениеприложения представлениесобытияжурналарегистрации представлениечасовогопояса предупреждение прекратитьработусистемы привилегированныйрежим продолжитьвызов прочитатьjson прочитатьxml прочитатьдатуjson пустаястрока рабочийкаталогданныхпользователя разблокироватьданныедляредактирования разделитьфайл разорватьсоединениесвнешнимисточникомданных раскодироватьстроку рольдоступна секунда сигнал символ скопироватьжурналрегистрации смещениелетнеговремени смещениест\
+андартноговремени соединитьбуферыдвоичныхданных создатькаталог создатьфабрикуxdto сокрл сокрлп сокрп сообщить состояние сохранитьзначение сохранитьнастройкипользователя сред стрдлина стрзаканчиваетсяна стрзаменить стрнайти стрначинаетсяс строка строкасоединенияинформационнойбазы стрполучитьстроку стрразделить стрсоединить стрсравнить стрчисловхождений стрчислострок стршаблон текущаядата текущаядатасеанса текущаяуниверсальнаядата текущаяуниверсальнаядатавмиллисекундах текущийвариантинтерфейсаклие\
+нтскогоприложения текущийвариантосновногошрифтаклиентскогоприложения текущийкодлокализации текущийрежимзапуска текущийязык текущийязыксистемы тип типзнч транзакцияактивна трег удалитьданныеинформационнойбазы удалитьизвременногохранилища удалитьобъекты удалитьфайлы универсальноевремя установитьбезопасныйрежим установитьбезопасныйрежимразделенияданных установитьблокировкусеансов установитьвнешнююкомпоненту установитьвремязавершенияспящегосеанса установитьвремязасыпанияпассивногосеанса установитьвр\
+емяожиданияблокировкиданных установитьзаголовокклиентскогоприложения установитьзаголовоксистемы установитьиспользованиежурналарегистрации установитьиспользованиесобытияжурналарегистрации установитькраткийзаголовокприложения установитьминимальнуюдлинупаролейпользователей установитьмонопольныйрежим установитьнастройкиклиенталицензирования установитьобновлениепредопределенныхданныхинформационнойбазы установитьотключениебезопасногорежима установитьпараметрыфункциональныхопцийинтерфейса установитьпри\
+вилегированныйрежим установитьпроверкусложностипаролейпользователей установитьрасширениеработыскриптографией установитьрасширениеработысфайлами установитьсоединениесвнешнимисточникомданных установитьсоответствиеобъектаиформы установитьсоставстандартногоинтерфейсаodata установитьчасовойпоясинформационнойбазы установитьчасовойпояссеанса формат цел час часовойпояс часовойпояссеанса число числопрописью этоадресвременногохранилища "+
+"wsссылки библиотекакартинок библиотекамакетовоформлениякомпоновкиданных библиотекастилей бизнеспроцессы внешниеисточникиданных внешниеобработки внешниеотчеты встроенныепокупки главныйинтерфейс главныйстиль документы доставляемыеуведомления журналыдокументов задачи информацияобинтернетсоединении использованиерабочейдаты историяработыпользователя константы критерииотбора метаданные обработки отображениерекламы отправкадоставляемыхуведомлений отчеты панельзадачос параметрзапуска параметрысеанса пе\
+речисления планывидоврасчета планывидовхарактеристик планыобмена планысчетов полнотекстовыйпоиск пользователиинформационнойбазы последовательности проверкавстроенныхпокупок рабочаядата расширенияконфигурации регистрыбухгалтерии регистрынакопления регистрырасчета регистрысведений регламентныезадания сериализаторxdto справочники средствагеопозиционирования средствакриптографии средствамультимедиа средстваотображениярекламы средствапочты средствателефонии фабрикаxdto файловыепотоки фоновыезадания х\
+ранилищанастроек хранилищевариантовотчетов хранилищенастроекданныхформ хранилищеобщихнастроек хранилищепользовательскихнастроекдинамическихсписков хранилищепользовательскихнастроекотчетов хранилищесистемныхнастроек ",CLASS2="webцвета windowsцвета windowsшрифты библиотекакартинок рамкистиля с\
+имволы цветастиля шрифтыстиля "+"автоматическоесохранениеданныхформывнастройках автонумерациявформе автораздвижениесерий анимациядиаграммы вариантвыравниванияэлементовизаголовков вариантуправлениявысотойтаблицы вертикальнаяпрокруткаформы вертикальноеположение вертикальноеположениеэлемента видгруппыформы виддекорацииформы виддополненияэлементаформы видизмененияданных видкнопкиформы видпереключателя видподписейкдиаграмме видполяформы видфлажка влияниеразмеранапузырекдиаг\
+раммы горизонтальноеположение горизонтальноеположениеэлемента группировкаколонок группировкаподчиненныхэлементовформы группыиэлементы действиеперетаскивания дополнительныйрежимотображения допустимыедействияперетаскивания интервалмеждуэлементамиформы использованиевывода использованиеполосыпрокрутки используемоезначениеточкибиржевойдиаграммы историявыборапривводе источникзначенийоситочекдиаграммы источникзначенияразмерапузырькадиаграммы категориягруппыкоманд максимумсерий начальноеотображениедерев\
+а начальноеотображениесписка обновлениетекстаредактирования ориентациядендрограммы ориентациядиаграммы ориентацияметокдиаграммы ориентацияметоксводнойдиаграммы ориентацияэлементаформы отображениевдиаграмме отображениевлегендедиаграммы отображениегруппыкнопок отображениезаголовкашкалыдиаграммы отображениезначенийсводнойдиаграммы отображениезначенияизмерительнойдиаграммы отображениеинтерваладиаграммыганта отображениекнопки отображениекнопкивыбора отображениеобсужденийформы отображениеобычнойгруппы\
+ отображениеотрицательныхзначенийпузырьковойдиаграммы отображениепанелипоиска отображениеподсказки отображениепредупрежденияприредактировании отображениеразметкиполосырегулирования отображениестраницформы отображениетаблицы отображениетекстазначениядиаграммыганта отображениеуправленияобычнойгруппы отображениефигурыкнопки палитрацветовдиаграммы поведениеобычнойгруппы поддержкамасштабадендрограммы поддержкамасштабадиаграммыганта поддержкамасштабасводнойдиаграммы поисквтаблицепривводе положениезаго\
+ловкаэлементаформы положениекартинкикнопкиформы положениекартинкиэлементаграфическойсхемы положениекоманднойпанелиформы положениекоманднойпанелиэлементаформы положениеопорнойточкиотрисовки положениеподписейкдиаграмме положениеподписейшкалызначенийизмерительнойдиаграммы положениесостоянияпросмотра положениестрокипоиска положениетекстасоединительнойлинии положениеуправленияпоиском положениешкалывремени порядокотображенияточекгоризонтальнойгистограммы порядоксерийвлегендедиаграммы размеркартинки ра\
+сположениезаголовкашкалыдиаграммы растягиваниеповертикалидиаграммыганта режимавтоотображениясостояния режимвводастроктаблицы режимвыборанезаполненного режимвыделениядаты режимвыделениястрокитаблицы режимвыделениятаблицы режимизмененияразмера режимизменениясвязанногозначения режимиспользованиядиалогапечати режимиспользованияпараметракоманды режиммасштабированияпросмотра режимосновногоокнаклиентскогоприложения режимоткрытияокнаформы режимотображениявыделения режимотображениягеографическойсхемы реж\
+имотображениязначенийсерии режимотрисовкисеткиграфическойсхемы режимполупрозрачностидиаграммы режимпробеловдиаграммы режимразмещениянастранице режимредактированияколонки режимсглаживаниядиаграммы режимсглаживанияиндикатора режимсписказадач сквозноевыравнивание сохранениеданныхформывнастройках способзаполнениятекстазаголовкашкалыдиаграммы способопределенияограничивающегозначениядиаграммы стандартнаягруппакоманд стандартноеоформление статусоповещенияпользователя стильстрелки типаппроксимациилиниит\
+рендадиаграммы типдиаграммы типединицышкалывремени типимпортасерийслоягеографическойсхемы типлиниигеографическойсхемы типлиниидиаграммы типмаркерагеографическойсхемы типмаркерадиаграммы типобластиоформления типорганизацииисточникаданныхгеографическойсхемы типотображениясериислоягеографическойсхемы типотображенияточечногообъектагеографическойсхемы типотображенияшкалыэлементалегендыгеографическойсхемы типпоискаобъектовгеографическойсхемы типпроекциигеографическойсхемы типразмещенияизмерений типраз\
+мещенияреквизитовизмерений типрамкиэлементауправления типсводнойдиаграммы типсвязидиаграммыганта типсоединениязначенийпосериямдиаграммы типсоединенияточекдиаграммы типсоединительнойлинии типстороныэлементаграфическойсхемы типформыотчета типшкалырадарнойдиаграммы факторлиниитрендадиаграммы фигуракнопки фигурыграфическойсхемы фиксациявтаблице форматдняшкалывремени форматкартинки ширинаподчиненныхэлементовформы "+
+"виддвижениябухгалтерии виддвижениянакопления видпериодарегистрарасчета видсчета видточкимаршрутабизнеспроцесса использованиеагрегатарегистранакопления использованиегруппиэлементов использованиережимапроведения использованиесреза периодичностьагрегатарегистранакопления режимавтовремя режимзаписидокумента режимпроведениядокумента "+
+"авторегистрацияизменений допустимыйномерсообщения отправкаэлементаданных получениеэлементаданных "+"использованиерасшифровкитабличногодокумента ориентациястраницы положениеитоговколоноксводнойтаблицы положениеитоговстроксводнойтаблицы положениетекстаотносительнокартинки расположениезаголовкагруппировкитабличногодокумента способчтениязначенийтабличногодокумента типдвустороннейпечати типзаполненияобластит\
+абличногодокумента типкурсоровтабличногодокумента типлиниирисункатабличногодокумента типлинииячейкитабличногодокумента типнаправленияпереходатабличногодокумента типотображениявыделениятабличногодокумента типотображениялинийсводнойтаблицы типразмещениятекстатабличногодокумента типрисункатабличногодокумента типсмещениятабличногодокумента типузоратабличногодокумента типфайлатабличногодокумента точностьпечати чередованиерасположениястраниц "+
+"отображениевремениэлементовпланировщика "+"типфайлаформатированногодокумента "+"обходрезультатазапроса типзаписизапроса "+"видзаполнениярасшифровкипостроителяотчета типдобавленияпредставлений типизмеренияпостроителяотчета типразмещенияитогов "+"доступкфайлу режимдиалогавыбо\
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+hljs.C_NUMBER_MODE]},QUOTED_STRING={scope:"string",begin:/"/,end:/"/,contains:[hljs.BACKSLASH_ESCAPE]},VERBATIM_STRING={scope:"string",begin:/@"/,end:/"/,contains:[{match:/""/},hljs.BACKSLASH_ESCAPE]},TRIPLE_QUOTED_STRING={scope:"string",begin:/"""/,end:/"""/,relevance:2},SUBST={scope:"subst",begin:/\{/,end:/\}/,keywords:ALL_KEYWORDS},INTERPOLATED_STRING={scope:"string",begin:/\$"/,end:/"/,contains:[{match:/\{\{/},{match:/\}\}/},hljs.BACKSLASH_ESCAPE,SUBST]},INTERPOLATED_VERBATIM_STRING={scope:"\
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+keywords:KEYWORDS2,contains:[hljs.COMMENT(/^\$ontext/,/^\$offtext/),{className:"meta",begin:"^\\$[a-z0-9]+",end:"$",returnBegin:!0,contains:[{className:"keyword",begin:"^\\$[a-z0-9]+"}]},hljs.COMMENT("^\\*","$"),hljs.C_LINE_COMMENT_MODE,hljs.C_BLOCK_COMMENT_MODE,hljs.QUOTE_STRING_MODE,hljs.APOS_STRING_MODE,{beginKeywords:"set sets parameter parameters variable variables scalar scalars equation equations",end:";",contains:[hljs.COMMENT("^\\*","$"),hljs.C_LINE_COMMENT_MODE,hljs.C_BLOCK_COMMENT_MODE,
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+contains:[hljs.C_NUMBER_MODE,hljs.C_LINE_COMMENT_MODE,hljs.C_BLOCK_COMMENT_MODE,AT_COMMENT_MODE,STRING_REF,PREPROCESSOR,{className:"keyword",begin:/\bexternal (matrix|string|array|sparse matrix|struct|proc|keyword|fn)/},DEFINITION("proc keyword",";"),DEFINITION("fn","="),{beginKeywords:"for threadfor",end:/;/,relevance:0,contains:[hljs.C_BLOCK_COMMENT_MODE,AT_COMMENT_MODE,FUNCTION_REF_PARAMS]},{variants:[{begin:hljs.UNDERSCORE_IDENT_RE+"\\."+hljs.UNDERSCORE_IDENT_RE},{begin:hljs.UNDERSCORE_IDENT_RE+
+"\\s*="}],relevance:0},FUNCTION_REF,STRUCT_TYPE]}}return gauss_1=gauss2,gauss_1}var gcode_1,hasRequiredGcode;function requireGcode(){if(hasRequiredGcode)return gcode_1;hasRequiredGcode=1;function gcode2(hljs){const regex=hljs.regex,GCODE_KEYWORDS={$pattern:/[A-Z]+|%/,keyword:["THEN","ELSE","ENDIF","IF","GOTO","DO","WHILE","WH","END","CALL","SUB","ENDSUB","EQ","NE","LT","GT","LE","GE","AND","OR","XOR","%"],built_in:["ATAN","ABS","ACOS","ASIN","COS","EXP","FIX","FUP","ROUND","LN","SIN","SQRT","TAN",
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+ract extends import non_intrinsic value deferred generic final enumerator class associate bind enum c_int c_short c_long c_long_long c_signed_char c_size_t c_int8_t c_int16_t c_int32_t c_int64_t c_int_least8_t c_int_least16_t c_int_least32_t c_int_least64_t c_int_fast8_t c_int_fast16_t c_int_fast32_t c_int_fast64_t c_intmax_t C_intptr_t c_float c_double c_long_double c_float_complex c_double_complex c_long_double_complex c_bool c_char c_null_ptr c_null_funptr c_new_line c_carriage_return c_horiz\
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+h exp ichar index int log log10 max min nint sign sin sinh sqrt tan tanh print write dim lge lgt lle llt mod nullify allocate deallocate adjustl adjustr all allocated any associated bit_size btest ceiling count cshift date_and_time digits dot_product eoshift epsilon exponent floor fraction huge iand ibclr ibits ibset ieor ior ishft ishftc lbound len_trim matmul maxexponent maxloc maxval merge minexponent minloc minval modulo mvbits nearest pack present product radix random_number random_seed ran\
+ge repeat reshape rrspacing scale scan selected_int_kind selected_real_kind set_exponent shape size spacing spread sum system_clock tiny transpose trim ubound unpack verify achar iachar transfer dble entry dprod cpu_time command_argument_count get_command get_command_argument get_environment_variable is_iostat_end ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode is_iostat_eor move_alloc new_line selected_char_kind same_type_as extends_type_of acosh a\
+sinh atanh bessel_j0 bessel_j1 bessel_jn bessel_y0 bessel_y1 bessel_yn erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image IRP_ALIGN irp_here"},illegal:/\/\*/,contains:[hljs.inherit(hljs.APOS_STRING_MODE,{className:"string",relevance:0}),hljs.inherit(hljs.
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+RES_CONST_ACCESS_NO_ACCESS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_CODE SYSRES_\
+CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW SYSRES_CONST_ACCESS_RIGHTS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_TYPE_CHANGE SYSRES_CONST_ACCESS_TYPE_CHANGE_CODE SYSRES_CONST_ACCESS_TYPE_EXISTS SYSRES_CONST_ACCESS_TYPE_EXISTS_CODE SY\
+SRES_CONST_ACCESS_TYPE_FULL SYSRES_CONST_ACCESS_TYPE_FULL_CODE SYSRES_CONST_ACCESS_TYPE_VIEW SYSRES_CONST_ACCESS_TYPE_VIEW_CODE SYSRES_CONST_ACTION_TYPE_ABORT SYSRES_CONST_ACTION_TYPE_ACCEPT SYSRES_CONST_ACTION_TYPE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ADD_ATTACHMENT SYSRES_CONST_ACTION_TYPE_CHANGE_CARD SYSRES_CONST_ACTION_TYPE_CHANGE_KIND SYSRES_CONST_ACTION_TYPE_CHANGE_STORAGE SYSRES_CONST_ACTION_TYPE_CONTINUE SYSRES_CONST_ACTION_TYPE_COPY SYSRES_CONST_ACTION_TYPE_CREATE SYSRES_CONST_ACTION_\
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+_TYPE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE_ACTION SYSRES_CONST_ALL_ACCEPT_CONDIT\
+ION_RUS SYSRES_CONST_ALL_USERS_GROUP SYSRES_CONST_ALL_USERS_GROUP_NAME SYSRES_CONST_ALL_USERS_SERVER_GROUP_NAME SYSRES_CONST_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_APP_VIEWER_TYPE_REQUISITE_CODE SYSRES_CONST_APPROVING_SIGNATURE_NAME SYSRES_CONST_APPROVING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE_CODE SYSRES_CONST_ATTACH_TYPE_COMPONENT_TOKEN SYSRES_CONST_ATTACH_TYPE_DOC SYSRES_CONST_ATTACH_TYPE_EDOC S\
+YSRES_CONST_ATTACH_TYPE_FOLDER SYSRES_CONST_ATTACH_TYPE_JOB SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_\
+ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CODE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCL\
+E_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CON\
+ST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPONENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_\
+CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_COD\
+E SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONENT_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_\
+COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_CONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST\
+_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_D\
+ATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CONST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_C\
+ONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_CODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_COD\
+E SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENC\
+E_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_\
+NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLETE_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTE\
+D_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SYSRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAS\
+T_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FO\
+LDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_FROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSR\
+ES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONST_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIE\
+LD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_C\
+ONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALUE SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES\
+_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_K\
+IND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KI\
+NDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT SYSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER\
+ SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUISITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES\
+_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISITE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CO\
+NST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOC\
+K_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECO\
+RD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYSRES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONS\
+T_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CO\
+NST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_R\
+EMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ\
+_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_REQUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CON\
+ST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONST_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYS\
+RES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 S\
+YSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TYPE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIV\
+E_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALU\
+E SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_T\
+YPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CON\
+ST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_O\
+RANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEFT_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRI\
+NG_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST\
+_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_R\
+EFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_TEXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR S\
+YSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE\
+_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE SYSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN\
+_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER\
+_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS\
+_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAITING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING  SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETA\
+LON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC\
+_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE "+"CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE "+"ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME "+"DECISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_B\
+LOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY "+"ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION "+"JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_\
+EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JOB_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY "+"ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_\
+CODE "+"smHidden smMaximized smMinimized smNormal wmNo wmYes "+"COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND "+"COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE "+"MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITOR_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITO\
+R_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY "+"NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BLOCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEA\
+DLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY "+"dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError dseOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdat\
+e reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT "+"CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM "+"ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_E\
+DOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV LOG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToA\
+ll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM \
+USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME "+"PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_RIGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJ\
+ECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE "+"ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEU\
+DOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFERENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE "+"CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SI\
+GN_AND_ENCRYPT "+"STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER "+"COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE "+"SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_CONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_D\
+ATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSREQ_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID\
+ SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATAB\
+ASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC\
+_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SEC\
+TION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VERSION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSR\
+EQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARAM_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LIN\
+E_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORMAT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_RE\
+F_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_TYPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_I\
+N_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELEC\
+T_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAME SYSREQ_USER_GROUPS_GROUP_SERVER_NAME SYSREQ_USERS_ACCESS_RIGHTS SYSREQ_USERS_AUTHENTICATION SYSREQ_USERS_CA\
+TEGORY SYSREQ_USERS_COMPONENT SYSREQ_USERS_COMPONENT_USER_IS_PUBLIC SYSREQ_USERS_DOMAIN SYSREQ_USERS_FULL_USER_NAME SYSREQ_USERS_GROUP SYSREQ_USERS_IS_MAIN_SERVER SYSREQ_USERS_LOGIN SYSREQ_USERS_REFERENCE_USER_IS_PUBLIC SYSREQ_USERS_STATUS SYSREQ_USERS_USER_CERTIFICATE SYSREQ_USERS_USER_CERTIFICATE_INFO SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_NAME SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_VERSION SYSREQ_USERS_USER_CERTIFICATE_STATE SYSREQ_USERS_USER_CERTIFICATE_SUBJECT_NAME SYSREQ_USERS_USER_CERTIFICATE\
+_THUMBPRINT SYSREQ_USERS_USER_DEFAULT_CERTIFICATE SYSREQ_USERS_USER_DESCRIPTION SYSREQ_USERS_USER_GLOBAL_NAME SYSREQ_USERS_USER_LOGIN SYSREQ_USERS_USER_MAIN_SERVER SYSREQ_USERS_USER_TYPE SYSREQ_WORK_RULES_FOLDER_ID "+"RESULT_VAR_NAME RESULT_VAR_NAME_ENG "+"AUTO_NUMERATION_RULE_ID CANT_CHANGE_ID_REQUISITE_RULE_ID CANT_CHANGE_OURFIRM_REQUISITE_RULE_ID CHECK_CHANGING_REFERENCE_RECORD_USE_RULE_ID CHECK_CODE_REQUISITE_RULE_ID CHECK_DELETING_REFERENCE_RECORD_USE_RULE_ID CHECK_FILTRATER_CHANGES_RULE_ID\
+ CHECK_RECORD_INTERVAL_RULE_ID CHECK_REFERENCE_INTERVAL_RULE_ID CHECK_REQUIRED_DATA_FULLNESS_RULE_ID CHECK_REQUIRED_REQUISITES_FULLNESS_RULE_ID MAKE_RECORD_UNRATIFIED_RULE_ID RESTORE_AUTO_NUMERATION_RULE_ID SET_FIRM_CONTEXT_FROM_RECORD_RULE_ID SET_FIRST_RECORD_IN_LIST_FORM_RULE_ID SET_IDSPS_VALUE_RULE_ID SET_NEXT_CODE_VALUE_RULE_ID SET_OURFIRM_BOUNDS_RULE_ID SET_OURFIRM_REQUISITE_RULE_ID "+"SCRIPT_BLOCK_AFTER_FINISH_EVENT SCRIPT_BLOCK_BEFORE_START_EVENT SCRIPT_BLOCK_EXECUTION_RESULTS_PROPERTY SC\
+RIPT_BLOCK_NAME_PROPERTY SCRIPT_BLOCK_SCRIPT_PROPERTY "+"SUBTASK_BLOCK_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_AFTER_FINISH_EVENT SUBTASK_BLOCK_ASSIGN_PARAMS_EVENT SUBTASK_BLOCK_ATTACHMENTS_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY SUBTASK_BLOCK_BEFORE_START_EVENT SUBTASK_BLOCK_CREATED_TASK_PROPERTY SUBTASK_BLOCK_CREATION_EVENT SUBTASK_BLOCK_DEADLINE_PROPERTY SUBTASK_BLOCK_IMPORTANCE_PROPERTY SUBTASK_BLOCK_INITIATOR_PROPERTY SUBTASK_BLO\
+CK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY SUBTASK_BLOCK_JOBS_TYPE_PROPERTY SUBTASK_BLOCK_NAME_PROPERTY SUBTASK_BLOCK_PARALLEL_ROUTE_PROPERTY SUBTASK_BLOCK_PERFORMERS_PROPERTY SUBTASK_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_REQUIRE_SIGN_PROPERTY SUBTASK_BLOCK_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_START_EVENT SUBTASK_BLOCK_STEP_CONTROL_PROPERTY SUBTASK_BLOCK_SUBJECT_PROPERTY SUBTASK_BLOCK_TASK_\
+CONTROL_PROPERTY SUBTASK_BLOCK_TEXT_PROPERTY SUBTASK_BLOCK_UNLOCK_ATTACHMENTS_ON_STOP_PROPERTY SUBTASK_BLOCK_USE_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_WAIT_FOR_TASK_COMPLETE_PROPERTY "+"SYSCOMP_CONTROL_JOBS SYSCOMP_FOLDERS SYSCOMP_JOBS SYSCOMP_NOTICES SYSCOMP_TASKS "+"SYSDLG_CREATE_EDOCUMENT SYSDLG_CREATE_EDOCUMENT_VERSION SYSDLG_CURRENT_PERIOD SYSDLG_EDIT_FUNCTION_HELP SYSDLG_EDOCUMENT_KINDS_FOR_TEMPLATE SYSDLG_EXPORT_MULTIPLE_EDOCUMENTS SYSDLG_EXPORT_SINGLE_EDOCUMENT SYSDLG_IMPORT_EDOCUMENT SY\
+SDLG_MULTIPLE_SELECT SYSDLG_SETUP_ACCESS_RIGHTS SYSDLG_SETUP_DEFAULT_RIGHTS SYSDLG_SETUP_FILTER_CONDITION SYSDLG_SETUP_SIGN_RIGHTS SYSDLG_SETUP_TASK_OBSERVERS SYSDLG_SETUP_TASK_ROUTE SYSDLG_SETUP_USERS_LIST SYSDLG_SIGN_EDOCUMENT SYSDLG_SIGN_MULTIPLE_EDOCUMENTS "+"SYSREF_ACCESS_RIGHTS_TYPES SYSREF_ADMINISTRATION_HISTORY SYSREF_ALL_AVAILABLE_COMPONENTS SYSREF_ALL_AVAILABLE_PRIVILEGES SYSREF_ALL_REPLICATING_COMPONENTS SYSREF_AVAILABLE_DEVELOPERS_COMPONENTS SYSREF_CALENDAR_EVENTS SYSREF_COMPONENT_TO\
+KEN_HISTORY SYSREF_COMPONENT_TOKENS SYSREF_COMPONENTS SYSREF_CONSTANTS SYSREF_DATA_RECEIVE_PROTOCOL SYSREF_DATA_SEND_PROTOCOL SYSREF_DIALOGS SYSREF_DIALOGS_REQUISITES SYSREF_EDITORS SYSREF_EDOC_CARDS SYSREF_EDOC_TYPES SYSREF_EDOCUMENT_CARD_REQUISITES SYSREF_EDOCUMENT_CARD_TYPES SYSREF_EDOCUMENT_CARD_TYPES_REFERENCE SYSREF_EDOCUMENT_CARDS SYSREF_EDOCUMENT_HISTORY SYSREF_EDOCUMENT_KINDS SYSREF_EDOCUMENT_REQUISITES SYSREF_EDOCUMENT_SIGNATURES SYSREF_EDOCUMENT_TEMPLATES SYSREF_EDOCUMENT_TEXT_STORAGE\
+S SYSREF_EDOCUMENT_VIEWS SYSREF_FILTERER_SETUP_CONFLICTS SYSREF_FILTRATER_SETTING_CONFLICTS SYSREF_FOLDER_HISTORY SYSREF_FOLDERS SYSREF_FUNCTION_GROUPS SYSREF_FUNCTION_PARAMS SYSREF_FUNCTIONS SYSREF_JOB_HISTORY SYSREF_LINKS SYSREF_LOCALIZATION_DICTIONARY SYSREF_LOCALIZATION_LANGUAGES SYSREF_MODULES SYSREF_PRIVILEGES SYSREF_RECORD_HISTORY SYSREF_REFERENCE_REQUISITES SYSREF_REFERENCE_TYPE_VIEWS SYSREF_REFERENCE_TYPES SYSREF_REFERENCES SYSREF_REFERENCES_REQUISITES SYSREF_REMOTE_SERVERS SYSREF_REPLI\
+CATION_SESSIONS_LOG SYSREF_REPLICATION_SESSIONS_PROTOCOL SYSREF_REPORTS SYSREF_ROLES SYSREF_ROUTE_BLOCK_GROUPS SYSREF_ROUTE_BLOCKS SYSREF_SCRIPTS SYSREF_SEARCHES SYSREF_SERVER_EVENTS SYSREF_SERVER_EVENTS_HISTORY SYSREF_STANDARD_ROUTE_GROUPS SYSREF_STANDARD_ROUTES SYSREF_STATUSES SYSREF_SYSTEM_SETTINGS SYSREF_TASK_HISTORY SYSREF_TASK_KIND_GROUPS SYSREF_TASK_KINDS SYSREF_TASK_RIGHTS SYSREF_TASK_SIGNATURES SYSREF_TASKS SYSREF_UNITS SYSREF_USER_GROUPS SYSREF_USER_GROUPS_REFERENCE SYSREF_USER_SUBSTIT\
+UTION SYSREF_USERS SYSREF_USERS_REFERENCE SYSREF_VIEWERS SYSREF_WORKING_TIME_CALENDARS "+"ACCESS_RIGHTS_TABLE_NAME EDMS_ACCESS_TABLE_NAME EDOC_TYPES_TABLE_NAME "+"TEST_DEV_DB_NAME TEST_DEV_SYSTEM_CODE TEST_EDMS_DB_NAME TEST_EDMS_MAIN_CODE TEST_EDMS_MAIN_DB_NAME TEST_EDMS_SECOND_CODE TEST_EDMS_SECOND_DB_NAME TEST_EDMS_SYSTEM_CODE TEST_ISB5_MAIN_CODE TEST_ISB5_SECOND_CODE TEST_SQL_SERVER_2005_NAME TEST_SQL_SERVER_NAME "+"ATTENTION_CAPTION cbsCommandLinks cbsDefault CONFIRMATION_CAPTION ERROR_CAPTI\
+ON INFORMATION_CAPTION mrCancel mrOk "+"EDOC_VERSION_ACTIVE_STAGE_CODE EDOC_VERSION_DESIGN_STAGE_CODE EDOC_VERSION_OBSOLETE_STAGE_CODE "+"cpDataEnciphermentEnabled cpDigitalSignatureEnabled cpID cpIssuer cpPluginVersion cpSerial cpSubjectName cpSubjSimpleName cpValidFromDate cpValidToDate "+"ISBL_SYNTAX NO_SYNTAX XML_SYNTAX "+"WAIT_BLOCK_AFTER_FINISH_EVENT WAIT_BLOCK_BEFORE_START_EVENT WAIT_BLOCK_DEADLINE_PROPERTY WAIT_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY WAIT_BLOCK_NAME_PROPERTY WAIT_BLOCK_RELAT\
+IVE_DEADLINE_TYPE_PROPERTY "+"SYSRES_COMMON SYSRES_CONST SYSRES_MBFUNC SYSRES_SBDATA SYSRES_SBGUI SYSRES_SBINTF SYSRES_SBREFDSC SYSRES_SQLERRORS SYSRES_SYSCOMP ",ENUMS="atUser atGroup atRole "+"aemEnabledAlways aemDisabledAlways aemEnabledOnBrowse aemEnabledOnEdit aemDisabledOnBrowseEmpty "+"apBegin apEnd "+"alLeft alRight "+"asmNever asmNoButCustomize asmAsLastTime asmYesButCustomize asmAlways "+"cirCommon cirRevoked "+"ctSignature ctEncode ctSignatureEncode "+"clbUnchecked clbChecked clbGrayed\
+ "+"ceISB ceAlways ceNever "+"ctDocument ctReference ctScript ctUnknown ctReport ctDialog ctFunction ctFolder ctEDocument ctTask ctJob ctNotice ctControlJob "+"cfInternal cfDisplay "+"ciUnspecified ciWrite ciRead "+"ckFolder ckEDocument ckTask ckJob ckComponentToken ckAny ckReference ckScript ckReport ckDialog "+"ctISBLEditor ctBevel ctButton ctCheckListBox ctComboBox ctComboEdit ctGrid ctDBCheckBox ctDBComboBox ctDBEdit ctDBEllipsis ctDBMemo ctDBNavigator ctDBRadioGroup ctDBStatusLabel ctEdit c\
+tGroupBox ctInplaceHint ctMemo ctPanel ctListBox ctRadioButton ctRichEdit ctTabSheet ctWebBrowser ctImage ctHyperLink ctLabel ctDBMultiEllipsis ctRibbon ctRichView ctInnerPanel ctPanelGroup ctBitButton "+"cctDate cctInteger cctNumeric cctPick cctReference cctString cctText "+"cltInternal cltPrimary cltGUI "+"dseBeforeOpen dseAfterOpen dseBeforeClose dseAfterClose dseOnValidDelete dseBeforeDelete dseAfterDelete dseAfterDeleteOutOfTransaction dseOnDeleteError dseBeforeInsert dseAfterInsert dseOnVa\
+lidUpdate dseBeforeUpdate dseOnUpdateRatifiedRecord dseAfterUpdate dseAfterUpdateOutOfTransaction dseOnUpdateError dseAfterScroll dseOnOpenRecord dseOnCloseRecord dseBeforeCancel dseAfterCancel dseOnUpdateDeadlockError dseBeforeDetailUpdate dseOnPrepareUpdate dseOnAnyRequisiteChange "+"dssEdit dssInsert dssBrowse dssInActive "+"dftDate dftShortDate dftDateTime dftTimeStamp "+"dotDays dotHours dotMinutes dotSeconds "+"dtkndLocal dtkndUTC "+"arNone arView arEdit arFull "+"ddaView ddaEdit "+"emLock\
+ emEdit emSign emExportWithLock emImportWithUnlock emChangeVersionNote emOpenForModify emChangeLifeStage emDelete emCreateVersion emImport emUnlockExportedWithLock emStart emAbort emReInit emMarkAsReaded emMarkAsUnreaded emPerform emAccept emResume emChangeRights emEditRoute emEditObserver emRecoveryFromLocalCopy emChangeWorkAccessType emChangeEncodeTypeToCertificate emChangeEncodeTypeToPassword emChangeEncodeTypeToNone emChangeEncodeTypeToCertificatePassword emChangeStandardRoute emGetText emOp\
+enForView emMoveToStorage emCreateObject emChangeVersionHidden emDeleteVersion emChangeLifeCycleStage emApprovingSign emExport emContinue emLockFromEdit emUnLockForEdit emLockForServer emUnlockFromServer emDelegateAccessRights emReEncode "+"ecotFile ecotProcess "+"eaGet eaCopy eaCreate eaCreateStandardRoute "+"edltAll edltNothing edltQuery "+"essmText essmCard "+"esvtLast esvtLastActive esvtSpecified "+"edsfExecutive edsfArchive "+"edstSQLServer edstFile "+"edvstNone edvstEDocumentVersionCopy ed\
+vstFile edvstTemplate edvstScannedFile "+"vsDefault vsDesign vsActive vsObsolete "+"etNone etCertificate etPassword etCertificatePassword "+"ecException ecWarning ecInformation "+"estAll estApprovingOnly "+"evtLast evtLastActive evtQuery "+"fdtString fdtNumeric fdtInteger fdtDate fdtText fdtUnknown fdtWideString fdtLargeInteger "+"ftInbox ftOutbox ftFavorites ftCommonFolder ftUserFolder ftComponents ftQuickLaunch ftShortcuts ftSearch "+"grhAuto grhX1 grhX2 grhX3 "+"hltText hltRTF hltHTML "+"iffB\
+MP iffJPEG iffMultiPageTIFF iffSinglePageTIFF iffTIFF iffPNG "+"im8bGrayscale im24bRGB im1bMonochrome "+"itBMP itJPEG itWMF itPNG "+"ikhInformation ikhWarning ikhError ikhNoIcon "+"icUnknown icScript icFunction icIntegratedReport icAnalyticReport icDataSetEventHandler icActionHandler icFormEventHandler icLookUpEventHandler icRequisiteChangeEventHandler icBeforeSearchEventHandler icRoleCalculation icSelectRouteEventHandler icBlockPropertyCalculation icBlockQueryParamsEventHandler icChangeSearchRe\
+sultEventHandler icBlockEventHandler icSubTaskInitEventHandler icEDocDataSetEventHandler icEDocLookUpEventHandler icEDocActionHandler icEDocFormEventHandler icEDocRequisiteChangeEventHandler icStructuredConversionRule icStructuredConversionEventBefore icStructuredConversionEventAfter icWizardEventHandler icWizardFinishEventHandler icWizardStepEventHandler icWizardStepFinishEventHandler icWizardActionEnableEventHandler icWizardActionExecuteEventHandler icCreateJobsHandler icCreateNoticesHandler i\
+cBeforeLookUpEventHandler icAfterLookUpEventHandler icTaskAbortEventHandler icWorkflowBlockActionHandler icDialogDataSetEventHandler icDialogActionHandler icDialogLookUpEventHandler icDialogRequisiteChangeEventHandler icDialogFormEventHandler icDialogValidCloseEventHandler icBlockFormEventHandler icTaskFormEventHandler icReferenceMethod icEDocMethod icDialogMethod icProcessMessageHandler "+"isShow isHide isByUserSettings "+"jkJob jkNotice jkControlJob "+"jtInner jtLeft jtRight jtFull jtCross "+"\
+lbpAbove lbpBelow lbpLeft lbpRight "+"eltPerConnection eltPerUser "+"sfcUndefined sfcBlack sfcGreen sfcRed sfcBlue sfcOrange sfcLilac "+"sfsItalic sfsStrikeout sfsNormal "+"ldctStandardRoute ldctWizard ldctScript ldctFunction ldctRouteBlock ldctIntegratedReport ldctAnalyticReport ldctReferenceType ldctEDocumentType ldctDialog ldctServerEvents "+"mrcrtNone mrcrtUser mrcrtMaximal mrcrtCustom "+"vtEqual vtGreaterOrEqual vtLessOrEqual vtRange "+"rdYesterday rdToday rdTomorrow rdThisWeek rdThisMonth \
+rdThisYear rdNextMonth rdNextWeek rdLastWeek rdLastMonth "+"rdWindow rdFile rdPrinter "+"rdtString rdtNumeric rdtInteger rdtDate rdtReference rdtAccount rdtText rdtPick rdtUnknown rdtLargeInteger rdtDocument "+"reOnChange reOnChangeValues "+"ttGlobal ttLocal ttUser ttSystem "+"ssmBrowse ssmSelect ssmMultiSelect ssmBrowseModal "+"smSelect smLike smCard "+"stNone stAuthenticating stApproving "+"sctString sctStream "+"sstAnsiSort sstNaturalSort "+"svtEqual svtContain "+"soatString soatNumeric soatI\
+nteger soatDatetime soatReferenceRecord soatText soatPick soatBoolean soatEDocument soatAccount soatIntegerCollection soatNumericCollection soatStringCollection soatPickCollection soatDatetimeCollection soatBooleanCollection soatReferenceRecordCollection soatEDocumentCollection soatAccountCollection soatContents soatUnknown "+"tarAbortByUser tarAbortByWorkflowException "+"tvtAllWords tvtExactPhrase tvtAnyWord "+"usNone usCompleted usRedSquare usBlueSquare usYellowSquare usGreenSquare usOrangeSqu\
+are usPurpleSquare usFollowUp "+"utUnknown utUser utDeveloper utAdministrator utSystemDeveloper utDisconnected "+"btAnd btDetailAnd btOr btNotOr btOnly "+"vmView vmSelect vmNavigation "+"vsmSingle vsmMultiple vsmMultipleCheck vsmNoSelection "+"wfatPrevious wfatNext wfatCancel wfatFinish "+"wfepUndefined wfepText3 wfepText6 wfepText9 wfepSpinEdit wfepDropDown wfepRadioGroup wfepFlag wfepText12 wfepText15 wfepText18 wfepText21 wfepText24 wfepText27 wfepText30 wfepRadioGroupColumn1 wfepRadioGroupCo\
+lumn2 wfepRadioGroupColumn3 "+"wfetQueryParameter wfetText wfetDelimiter wfetLabel "+"wptString wptInteger wptNumeric wptBoolean wptDateTime wptPick wptText wptUser wptUserList wptEDocumentInfo wptEDocumentInfoList wptReferenceRecordInfo wptReferenceRecordInfoList wptFolderInfo wptTaskInfo wptContents wptFileName wptDate "+"wsrComplete wsrGoNext wsrGoPrevious wsrCustom wsrCancel wsrGoFinal "+"wstForm wstEDocument wstTaskCard wstReferenceRecordCard wstFinal "+"waAll waPerformers waManual "+"wsbSt\
+art wsbFinish wsbNotice wsbStep wsbDecision wsbWait wsbMonitor wsbScript wsbConnector wsbSubTask wsbLifeCycleStage wsbPause "+"wdtInteger wdtFloat wdtString wdtPick wdtDateTime wdtBoolean wdtTask wdtJob wdtFolder wdtEDocument wdtReferenceRecord wdtUser wdtGroup wdtRole wdtIntegerCollection wdtFloatCollection wdtStringCollection wdtPickCollection wdtDateTimeCollection wdtBooleanCollection wdtTaskCollection wdtJobCollection wdtFolderCollection wdtEDocumentCollection wdtReferenceRecordCollection wd\
+tUserCollection wdtGroupCollection wdtRoleCollection wdtContents wdtUserList wdtSearchDescription wdtDeadLine wdtPickSet wdtAccountCollection "+"wiLow wiNormal wiHigh "+"wrtSoft wrtHard "+"wsInit wsRunning wsDone wsControlled wsAborted wsContinued "+"wtmFull wtmFromCurrent wtmOnlyCurrent ",system_functions="AddSubString AdjustLineBreaks AmountInWords Analysis ArrayDimCount ArrayHighBound ArrayLowBound ArrayOf ArrayReDim Assert Assigned BeginOfMonth BeginOfPeriod BuildProfilingOperationAnalysis C\
+allProcedure CanReadFile CArrayElement CDataSetRequisite ChangeDate ChangeReferenceDataset Char CharPos CheckParam CheckParamValue CompareStrings ConstantExists ControlState ConvertDateStr Copy CopyFile CreateArray CreateCachedReference CreateConnection CreateDialog CreateDualListDialog CreateEditor CreateException CreateFile CreateFolderDialog CreateInputDialog CreateLinkFile CreateList CreateLock CreateMemoryDataSet CreateObject CreateOpenDialog CreateProgress CreateQuery CreateReference Creat\
+eReport CreateSaveDialog CreateScript CreateSQLPivotFunction CreateStringList CreateTreeListSelectDialog CSelectSQL CSQL CSubString CurrentUserID CurrentUserName CurrentVersion DataSetLocateEx DateDiff DateTimeDiff DateToStr DayOfWeek DeleteFile DirectoryExists DisableCheckAccessRights DisableCheckFullShowingRestriction DisableMassTaskSendingRestrictions DropTable DupeString EditText EnableCheckAccessRights EnableCheckFullShowingRestriction EnableMassTaskSendingRestrictions EndOfMonth EndOfPerio\
+d ExceptionExists ExceptionsOff ExceptionsOn Execute ExecuteProcess Exit ExpandEnvironmentVariables ExtractFileDrive ExtractFileExt ExtractFileName ExtractFilePath ExtractParams FileExists FileSize FindFile FindSubString FirmContext ForceDirectories Format FormatDate FormatNumeric FormatSQLDate FormatString FreeException GetComponent GetComponentLaunchParam GetConstant GetLastException GetReferenceRecord GetRefTypeByRefID GetTableID GetTempFolder IfThen In IndexOf InputDialog InputDialogEx Inter\
+activeMode IsFileLocked IsGraphicFile IsNumeric Length LoadString LoadStringFmt LocalTimeToUTC LowerCase Max MessageBox MessageBoxEx MimeDecodeBinary MimeDecodeString MimeEncodeBinary MimeEncodeString Min MoneyInWords MoveFile NewID Now OpenFile Ord Precision Raise ReadCertificateFromFile ReadFile ReferenceCodeByID ReferenceNumber ReferenceRequisiteMode ReferenceRequisiteValue RegionDateSettings RegionNumberSettings RegionTimeSettings RegRead RegWrite RenameFile Replace Round SelectServerCode Se\
+lectSQL ServerDateTime SetConstant SetManagedFolderFieldsState ShowConstantsInputDialog ShowMessage Sleep Split SQL SQL2XLSTAB SQLProfilingSendReport StrToDate SubString SubStringCount SystemSetting Time TimeDiff Today Transliterate Trim UpperCase UserStatus UTCToLocalTime ValidateXML VarIsClear VarIsEmpty VarIsNull WorkTimeDiff WriteFile WriteFileEx WriteObjectHistory Анализ БазаДанных БлокЕсть БлокЕстьРасш БлокИнфо БлокСнять БлокСнятьРасш БлокУстановить Ввод ВводМеню ВедС ВедСпр ВерхняяГраница\
+Массива ВнешПрогр Восст ВременнаяПапка Время ВыборSQL ВыбратьЗапись ВыделитьСтр Вызвать Выполнить ВыпПрогр ГрафическийФайл ГруппаДополнительно ДатаВремяСерв ДеньНедели ДиалогДаНет ДлинаСтр ДобПодстр ЕПусто ЕслиТо ЕЧисло ЗамПодстр ЗаписьСправочника ЗначПоляСпр ИДТипСпр ИзвлечьДиск ИзвлечьИмяФайла ИзвлечьПуть ИзвлечьРасширение ИзмДат ИзменитьРазмерМассива ИзмеренийМассива ИмяОрг ИмяПоляСпр Индекс ИндикаторЗакрыть ИндикаторОткрыть ИндикаторШаг ИнтерактивныйРежим ИтогТблСпр КодВидВедСпр КодВидСпрПоИ\
+Д КодПоAnalit КодСимвола КодСпр КолПодстр КолПроп КонМес Конст КонстЕсть КонстЗнач КонТран КопироватьФайл КопияСтр КПериод КСтрТблСпр Макс МаксСтрТблСпр Массив Меню МенюРасш Мин НаборДанныхНайтиРасш НаимВидСпр НаимПоAnalit НаимСпр НастроитьПереводыСтрок НачМес НачТран НижняяГраницаМассива НомерСпр НПериод Окно Окр Окружение ОтлИнфДобавить ОтлИнфУдалить Отчет ОтчетАнал ОтчетИнт ПапкаСуществует Пауза ПВыборSQL ПереименоватьФайл Переменные ПереместитьФайл Подстр ПоискПодстр ПоискСтр ПолучитьИДТабли\
+цы ПользовательДополнительно ПользовательИД ПользовательИмя ПользовательСтатус Прервать ПроверитьПараметр ПроверитьПараметрЗнач ПроверитьУсловие РазбСтр РазнВремя РазнДат РазнДатаВремя РазнРабВремя РегУстВрем РегУстДат РегУстЧсл РедТекст РеестрЗапись РеестрСписокИменПарам РеестрЧтение РеквСпр РеквСпрПр Сегодня Сейчас Сервер СерверПроцессИД СертификатФайлСчитать СжПроб Символ СистемаДиректумКод СистемаИнформация СистемаКод Содержит СоединениеЗакрыть СоединениеОткрыть СоздатьДиалог СоздатьДиалогВы\
+бораИзДвухСписков СоздатьДиалогВыбораПапки СоздатьДиалогОткрытияФайла СоздатьДиалогСохраненияФайла СоздатьЗапрос СоздатьИндикатор СоздатьИсключение СоздатьКэшированныйСправочник СоздатьМассив СоздатьНаборДанных СоздатьОбъект СоздатьОтчет СоздатьПапку СоздатьРедактор СоздатьСоединение СоздатьСписок СоздатьСписокСтрок СоздатьСправочник СоздатьСценарий СоздСпр СостСпр Сохр СохрСпр СписокСистем Спр Справочник СпрБлокЕсть СпрБлокСнять СпрБлокСнятьРасш СпрБлокУстановить СпрИзмНабДан СпрКод СпрНомер Сп\
+рОбновить СпрОткрыть СпрОтменить СпрПарам СпрПолеЗнач СпрПолеИмя СпрРекв СпрРеквВведЗн СпрРеквНовые СпрРеквПр СпрРеквПредЗн СпрРеквРежим СпрРеквТипТекст СпрСоздать СпрСост СпрСохранить СпрТблИтог СпрТблСтр СпрТблСтрКол СпрТблСтрМакс СпрТблСтрМин СпрТблСтрПред СпрТблСтрСлед СпрТблСтрСозд СпрТблСтрУд СпрТекПредст СпрУдалить СравнитьСтр СтрВерхРегистр СтрНижнРегистр СтрТблСпр СумПроп Сценарий СценарийПарам ТекВерсия ТекОрг Точн Тран Транслитерация УдалитьТаблицу УдалитьФайл УдСпр УдСтрТблСпр Уст Ус\
+тановкиКонстант ФайлАтрибутСчитать ФайлАтрибутУстановить ФайлВремя ФайлВремяУстановить ФайлВыбрать ФайлЗанят ФайлЗаписать ФайлИскать ФайлКопировать ФайлМожноЧитать ФайлОткрыть ФайлПереименовать ФайлПерекодировать ФайлПереместить ФайлПросмотреть ФайлРазмер ФайлСоздать ФайлСсылкаСоздать ФайлСуществует ФайлСчитать ФайлУдалить ФмтSQLДат ФмтДат ФмтСтр ФмтЧсл Формат ЦМассивЭлемент ЦНаборДанныхРеквизит ЦПодстр ",
+predefined_variables="AltState Application CallType ComponentTokens CreatedJobs CreatedNotices ControlState DialogResult Dialogs EDocuments EDocumentVersionSource Folders GlobalIDs Job Jobs InputValue LookUpReference LookUpRequisiteNames LookUpSearch Object ParentComponent Processes References Requisite ReportName Reports Result Scripts Searches SelectedAttachments SelectedItems SelectMode Sender ServerEvents ServiceFactory ShiftState SubTask SystemDialogs Tasks Wizard Wizards Work ВызовСпособ И\
+мяОтчета РеквЗнач ",interfaces="IApplication IAccessRights IAccountRepository IAccountSelectionRestrictions IAction IActionList IAdministrationHistoryDescription IAnchors IApplication IArchiveInfo IAttachment IAttachmentList ICheckListBox ICheckPointedList IColumn IComponent IComponentDescription IComponentToken IComponentTokenFactory IComponentTokenInfo ICompRecordInfo IConnection IContents IControl IControlJob IControlJobInfo IControlList ICrypto ICrypto2 ICustomJob ICustomJobI\
+nfo ICustomListBox ICustomObjectWizardStep ICustomWork ICustomWorkInfo IDataSet IDataSetAccessInfo IDataSigner IDateCriterion IDateRequisite IDateRequisiteDescription IDateValue IDeaAccessRights IDeaObjectInfo IDevelopmentComponentLock IDialog IDialogFactory IDialogPickRequisiteItems IDialogsFactory IDICSFactory IDocRequisite IDocumentInfo IDualListDialog IECertificate IECertificateInfo IECertificates IEditControl IEditorForm IEdmsExplorer IEdmsObject IEdmsObjectDescription IEdmsObjectFactory IE\
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+NUMBER_RE=/(\d*\.\d+|\d+\.\d*|\d+)/,BASE_NUMBER_RE=regex.either(regex.concat(BASE_RE,BASE_DIGITS_RE),NUMBER_RE),ACCURACY_RE=/``[+-]?(\d*\.\d+|\d+\.\d*|\d+)/,PRECISION_RE=/`([+-]?(\d*\.\d+|\d+\.\d*|\d+))?/,APPROXIMATE_NUMBER_RE=regex.either(ACCURACY_RE,PRECISION_RE),SCIENTIFIC_NOTATION_RE=/\*\^[+-]?\d+/,NUMBERS={className:"number",relevance:0,begin:regex.concat(BASE_NUMBER_RE,regex.optional(APPROXIMATE_NUMBER_RE),regex.optional(SCIENTIFIC_NOTATION_RE))},SYMBOL_RE=/[a-zA-Z$][a-zA-Z0-9$]*/,SYSTEM_SYMBOLS_SET=new Set(
+SYSTEM_SYMBOLS2),SYMBOLS={variants:[{className:"builtin-symbol",begin:SYMBOL_RE,"on:begin":(match,response)=>{SYSTEM_SYMBOLS_SET.has(match[0])||response.ignoreMatch()}},{className:"symbol",relevance:0,begin:SYMBOL_RE}]},NAMED_CHARACTER={className:"named-character",begin:/\\\[[$a-zA-Z][$a-zA-Z0-9]+\]/},OPERATORS={className:"operator",relevance:0,begin:/[+\-*/,;.:@~=><&|_`'^?!%]+/},PATTERNS={className:"pattern",relevance:0,begin:/([a-zA-Z$][a-zA-Z0-9$]*)?_+([a-zA-Z$][a-zA-Z0-9$]*)?/},SLOTS={className:"\
+slot",relevance:0,begin:/#[a-zA-Z$][a-zA-Z0-9$]*|#+[0-9]?/},BRACES={className:"brace",relevance:0,begin:/[[\](){}]/},MESSAGES={className:"message-name",relevance:0,begin:regex.concat("::",SYMBOL_RE)};return{name:"Mathematica",aliases:["mma","wl"],classNameAliases:{brace:"punctuation",pattern:"type",slot:"type",symbol:"variable","named-character":"variable","builtin-symbol":"built_in","message-name":"string"},contains:[hljs.COMMENT(/\(\*/,/\*\)/,{contains:["self"]}),PATTERNS,SLOTS,MESSAGES,SYMBOLS,
+NAMED_CHARACTER,hljs.QUOTE_STRING_MODE,NUMBERS,OPERATORS,BRACES]}}return mathematica_1=mathematica2,mathematica_1}var matlab_1,hasRequiredMatlab;function requireMatlab(){if(hasRequiredMatlab)return matlab_1;hasRequiredMatlab=1;function matlab2(hljs){const TRANSPOSE_RE="('|\\.')+",TRANSPOSE={relevance:0,contains:[{begin:TRANSPOSE_RE}]};return{name:"Matlab",keywords:{keyword:"arguments break case catch classdef continue else elseif end enumeration events for function global if methods otherwise pa\
+rfor persistent properties return spmd switch try while",built_in:"sin sind sinh asin asind asinh cos cosd cosh acos acosd acosh tan tand tanh atan atand atan2 atanh sec secd sech asec asecd asech csc cscd csch acsc acscd acsch cot cotd coth acot acotd acoth hypot exp expm1 log log1p log10 log2 pow2 realpow reallog realsqrt sqrt nthroot nextpow2 abs angle complex conj imag real unwrap isreal cplxpair fix floor ceil round mod rem sign airy besselj bessely besselh besseli besselk beta betainc beta\
+ln ellipj ellipke erf erfc erfcx erfinv expint gamma gammainc gammaln psi legendre cross dot factor isprime primes gcd lcm rat rats perms nchoosek factorial cart2sph cart2pol pol2cart sph2cart hsv2rgb rgb2hsv zeros ones eye repmat rand randn linspace logspace freqspace meshgrid accumarray size length ndims numel disp isempty isequal isequalwithequalnans cat reshape diag blkdiag tril triu fliplr flipud flipdim rot90 find sub2ind ind2sub bsxfun ndgrid permute ipermute shiftdim circshift squeeze is\
+scalar isvector ans eps realmax realmin pi i|0 inf nan isnan isinf isfinite j|0 why compan gallery hadamard hankel hilb invhilb magic pascal rosser toeplitz vander wilkinson max min nanmax nanmin mean nanmean type table readtable writetable sortrows sort figure plot plot3 scatter scatter3 cellfun legend intersect ismember procrustes hold num2cell "},illegal:'(//|"|#|/\\*|\\s+/\\w+)',contains:[{className:"function",beginKeywords:"function",end:"$",contains:[hljs.UNDERSCORE_TITLE_MODE,{className:"\
+params",variants:[{begin:"\\(",end:"\\)"},{begin:"\\[",end:"\\]"}]}]},{className:"built_in",begin:/true|false/,relevance:0,starts:TRANSPOSE},{begin:"[a-zA-Z][a-zA-Z_0-9]*"+TRANSPOSE_RE,relevance:0},{className:"number",begin:hljs.C_NUMBER_RE,relevance:0,starts:TRANSPOSE},{className:"string",begin:"'",end:"'",contains:[{begin:"''"}]},{begin:/\]|\}|\)/,relevance:0,starts:TRANSPOSE},{className:"string",begin:'"',end:'"',contains:[{begin:'""'}],starts:TRANSPOSE},hljs.COMMENT("^\\s*%\\{\\s*$","^\\s*%\\}\
+\\s*$"),hljs.COMMENT("%","$")]}}return matlab_1=matlab2,matlab_1}var maxima_1,hasRequiredMaxima;function requireMaxima(){if(hasRequiredMaxima)return maxima_1;hasRequiredMaxima=1;function maxima2(hljs){return{name:"Maxima",keywords:{$pattern:"[A-Za-z_%][0-9A-Za-z_%]*",keyword:"if then else elseif for thru do while unless step in and or not",literal:"true false unknown inf minf ind und %e %i %pi %phi %gamma",built_in:" abasep abs absint absolute_real_time acos acosh acot acoth acsc acsch activate \
+addcol add_edge add_edges addmatrices addrow add_vertex add_vertices adjacency_matrix adjoin adjoint af agd airy airy_ai airy_bi airy_dai airy_dbi algsys alg_type alias allroots alphacharp alphanumericp amortization %and annuity_fv annuity_pv antid antidiff AntiDifference append appendfile apply apply1 apply2 applyb1 apropos args arit_amortization arithmetic arithsum array arrayapply arrayinfo arraymake arraysetapply ascii asec asech asin asinh askinteger asksign assoc assoc_legendre_p assoc_leg\
+endre_q assume assume_external_byte_order asympa at atan atan2 atanh atensimp atom atvalue augcoefmatrix augmented_lagrangian_method av average_degree backtrace bars barsplot barsplot_description base64 base64_decode bashindices batch batchload bc2 bdvac belln benefit_cost bern bernpoly bernstein_approx bernstein_expand bernstein_poly bessel bessel_i bessel_j bessel_k bessel_simplify bessel_y beta beta_incomplete beta_incomplete_generalized beta_incomplete_regularized bezout bfallroots bffac bf_\
+find_root bf_fmin_cobyla bfhzeta bfloat bfloatp bfpsi bfpsi0 bfzeta biconnected_components bimetric binomial bipartition block blockmatrixp bode_gain bode_phase bothcoef box boxplot boxplot_description break bug_report build_info|10 buildq build_sample burn cabs canform canten cardinality carg cartan cartesian_product catch cauchy_matrix cbffac cdf_bernoulli cdf_beta cdf_binomial cdf_cauchy cdf_chi2 cdf_continuous_uniform cdf_discrete_uniform cdf_exp cdf_f cdf_gamma cdf_general_finite_discrete c\
+df_geometric cdf_gumbel cdf_hypergeometric cdf_laplace cdf_logistic cdf_lognormal cdf_negative_binomial cdf_noncentral_chi2 cdf_noncentral_student_t cdf_normal cdf_pareto cdf_poisson cdf_rank_sum cdf_rayleigh cdf_signed_rank cdf_student_t cdf_weibull cdisplay ceiling central_moment cequal cequalignore cf cfdisrep cfexpand cgeodesic cgreaterp cgreaterpignore changename changevar chaosgame charat charfun charfun2 charlist charp charpoly chdir chebyshev_t chebyshev_u checkdiv check_overlaps chinese\
+ cholesky christof chromatic_index chromatic_number cint circulant_graph clear_edge_weight clear_rules clear_vertex_label clebsch_gordan clebsch_graph clessp clesspignore close closefile cmetric coeff coefmatrix cograd col collapse collectterms columnop columnspace columnswap columnvector combination combine comp2pui compare compfile compile compile_file complement_graph complete_bipartite_graph complete_graph complex_number_p components compose_functions concan concat conjugate conmetderiv conn\
+ected_components connect_vertices cons constant constantp constituent constvalue cont2part content continuous_freq contortion contour_plot contract contract_edge contragrad contrib_ode convert coord copy copy_file copy_graph copylist copymatrix cor cos cosh cot coth cov cov1 covdiff covect covers crc24sum create_graph create_list csc csch csetup cspline ctaylor ct_coordsys ctransform ctranspose cube_graph cuboctahedron_graph cunlisp cv cycle_digraph cycle_graph cylindrical days360 dblint deactiv\
+ate declare declare_constvalue declare_dimensions declare_fundamental_dimensions declare_fundamental_units declare_qty declare_translated declare_unit_conversion declare_units declare_weights decsym defcon define define_alt_display define_variable defint defmatch defrule defstruct deftaylor degree_sequence del delete deleten delta demo demoivre denom depends derivdegree derivlist describe desolve determinant dfloat dgauss_a dgauss_b dgeev dgemm dgeqrf dgesv dgesvd diag diagmatrix diag_matrix dia\
+gmatrixp diameter diff digitcharp dimacs_export dimacs_import dimension dimensionless dimensions dimensions_as_list direct directory discrete_freq disjoin disjointp disolate disp dispcon dispform dispfun dispJordan display disprule dispterms distrib divide divisors divsum dkummer_m dkummer_u dlange dodecahedron_graph dotproduct dotsimp dpart draw draw2d draw3d drawdf draw_file draw_graph dscalar echelon edge_coloring edge_connectivity edges eigens_by_jacobi eigenvalues eigenvectors eighth einste\
+in eivals eivects elapsed_real_time elapsed_run_time ele2comp ele2polynome ele2pui elem elementp elevation_grid elim elim_allbut eliminate eliminate_using ellipse elliptic_e elliptic_ec elliptic_eu elliptic_f elliptic_kc elliptic_pi ematrix empty_graph emptyp endcons entermatrix entertensor entier equal equalp equiv_classes erf erfc erf_generalized erfi errcatch error errormsg errors euler ev eval_string evenp every evolution evolution2d evundiff example exp expand expandwrt expandwrt_factored e\
+xpint expintegral_chi expintegral_ci expintegral_e expintegral_e1 expintegral_ei expintegral_e_simplify expintegral_li expintegral_shi expintegral_si explicit explose exponentialize express expt exsec extdiff extract_linear_equations extremal_subset ezgcd %f f90 facsum factcomb factor factorfacsum factorial factorout factorsum facts fast_central_elements fast_linsolve fasttimes featurep fernfale fft fib fibtophi fifth filename_merge file_search file_type fillarray findde find_root find_root_abs \
+find_root_error find_root_rel first fix flatten flength float floatnump floor flower_snark flush flush1deriv flushd flushnd flush_output fmin_cobyla forget fortran fourcos fourexpand fourier fourier_elim fourint fourintcos fourintsin foursimp foursin fourth fposition frame_bracket freeof freshline fresnel_c fresnel_s from_adjacency_matrix frucht_graph full_listify fullmap fullmapl fullratsimp fullratsubst fullsetify funcsolve fundamental_dimensions fundamental_units fundef funmake funp fv g0 g1 \
+gamma gamma_greek gamma_incomplete gamma_incomplete_generalized gamma_incomplete_regularized gauss gauss_a gauss_b gaussprob gcd gcdex gcdivide gcfac gcfactor gd generalized_lambert_w genfact gen_laguerre genmatrix gensym geo_amortization geo_annuity_fv geo_annuity_pv geomap geometric geometric_mean geosum get getcurrentdirectory get_edge_weight getenv get_lu_factors get_output_stream_string get_pixel get_plot_option get_tex_environment get_tex_environment_default get_vertex_label gfactor gfacto\
+rsum ggf girth global_variances gn gnuplot_close gnuplot_replot gnuplot_reset gnuplot_restart gnuplot_start go Gosper GosperSum gr2d gr3d gradef gramschmidt graph6_decode graph6_encode graph6_export graph6_import graph_center graph_charpoly graph_eigenvalues graph_flow graph_order graph_periphery graph_product graph_size graph_union great_rhombicosidodecahedron_graph great_rhombicuboctahedron_graph grid_graph grind grobner_basis grotzch_graph hamilton_cycle hamilton_path hankel hankel_1 hankel_2\
+ harmonic harmonic_mean hav heawood_graph hermite hessian hgfred hilbertmap hilbert_matrix hipow histogram histogram_description hodge horner hypergeometric i0 i1 %ibes ic1 ic2 ic_convert ichr1 ichr2 icosahedron_graph icosidodecahedron_graph icurvature ident identfor identity idiff idim idummy ieqn %if ifactors iframes ifs igcdex igeodesic_coords ilt image imagpart imetric implicit implicit_derivative implicit_plot indexed_tensor indices induced_subgraph inferencep inference_result infix info_di\
+splay init_atensor init_ctensor in_neighbors innerproduct inpart inprod inrt integerp integer_partitions integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacobi_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_c\
+onnected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_set julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli\
+ kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerr\
+e lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomials listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge\
+ lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbr\
+ot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_deviation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeome\
+tric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomia\
+l_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity \
+nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp orthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric pa\
+rametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hypergeometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal \
+pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_\
+colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_par\
+t poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2ele pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc q\
+uad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poiss\
+on quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_b\
+inomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline \
+read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remv\
+alue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors sca\
+nmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showr\
+atvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial\
+ skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode sparse6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_h\
+ankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binom\
+ial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan ta\
+nh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tlimit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trac\
+e tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlying_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace upperca\
+sep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poisson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity\
+ vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_carmichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar\
+ activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit besselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c cappi\
+ng cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependencies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_ove\
+r doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp erfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expan\
+dwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_vertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet geninde\
+x gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnuplot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hyp\
+ergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label\
+_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb logconcoeffp logexpand lognegint logsimp logx logx_secondary logy logy_secondary logz lriem m1pbranch macroexpansion macros mainvar manual_\
+demo maperror mapprint matrix_element_add matrix_element_mult matrix_element_transpose maxapplydepth maxapplyheight maxima_tempdir|10 maxima_userdir|10 maxnegex MAX_ORD maxposex maxpsifracdenom maxpsifracnum maxpsinegint maxpsiposint maxtayorder mesh_lines_color method mod_big_prime mode_check_errorp mode_checkp mode_check_warnp mod_test mod_threshold modular_linear_solver modulus multiplicative multiplicities myoptions nary negdistrib negsumdispflag newline newtonepsilon newtonmaxiter nextlayer\
+factor niceindicespref nm nmc noeval nolabels nonegative_lp noninteger nonscalar noun noundisp nouns np npi nticks ntrig numer numer_pbranch obase odd oddfun opacity opproperties opsubst optimprefix optionset orientation origin orthopoly_returns_intervals outative outchar packagefile palette partswitch pdf_file pfeformat phiresolution %piargs piece pivot_count_sx pivot_max_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type\
+ poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat prompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivi\
+de rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck setcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color sho\
+w_vertex_size show_vertex_type show_vertices show_weight simp simplified_output simplify_products simpproduct simpsum sinnpiflag solvedecomposes solveexplicit solvefactors solvenullwarn solveradcan solvetrigwarn space sparse sphere spring_embedding_depth sqrtdispflag stardisp startphi starttheta stats_numer stringdisp structures style sublis_apply_lambda subnumsimp sumexpand sumsplitfact surface surface_hide svg_file symmetric tab taylordepth taylor_logexpand taylor_order_coefficients taylor_tru\
+ncate_polynomials tensorkill terminal testsuite_files thetaresolution timer_devalue title tlimswitch tr track transcompile transform transform_xy translate_fast_arrays transparent transrun tr_array_as_ref tr_bound_function_applyp tr_file_tty_messagesp tr_float_can_branch_complex tr_function_call_default trigexpandplus trigexpandtimes triginverses trigsign trivial_solutions tr_numer tr_optimize_max_loop tr_semicompile tr_state_vars tr_warn_bad_function_calls tr_warn_fexpr tr_warn_meval tr_warn_mo\
+de tr_warn_undeclared tr_warn_undefined_variable tstep ttyoff tube_extremes ufg ug %unitexpand unit_vectors uric uriem use_fast_arrays user_preamble usersetunits values vect_cross verbose vertex_color vertex_coloring vertex_partition vertex_size vertex_type view warnings weyl width windowname windowtitle wired_surface wireframe xaxis xaxis_color xaxis_secondary xaxis_type xaxis_width xlabel xlabel_secondary xlength xrange xrange_secondary xtics xtics_axis xtics_rotate xtics_rotate_secondary xtic\
+s_secondary xtics_secondary_axis xu_grid x_voxel xy_file xyplane xy_scale yaxis yaxis_color yaxis_secondary yaxis_type yaxis_width ylabel ylabel_secondary ylength yrange yrange_secondary ytics ytics_axis ytics_rotate ytics_rotate_secondary ytics_secondary ytics_secondary_axis yv_grid y_voxel yx_ratio zaxis zaxis_color zaxis_type zaxis_width zeroa zerob zerobern zeta%pi zlabel zlabel_rotate zlength zmin zn_primroot_limit zn_primroot_pretest",symbol:"_ __ %|0 %%|0"},contains:[{className:"comment",
+begin:"/\\*",end:"\\*/",contains:["self"]},hljs.QUOTE_STRING_MODE,{className:"number",relevance:0,variants:[{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Ee][-+]?\\d+\\b"},{begin:"\\b(\\d+|\\d+\\.|\\.\\d+|\\d+\\.\\d+)[Bb][-+]?\\d+\\b",relevance:10},{begin:"\\b(\\.\\d+|\\d+\\.\\d+)\\b"},{begin:"\\b(\\d+|0[0-9A-Za-z]+)\\.?\\b"}]}],illegal:/@/}}return maxima_1=maxima2,maxima_1}var mel_1,hasRequiredMel;function requireMel(){if(hasRequiredMel)return mel_1;hasRequiredMel=1;function mel2(hljs){return{name:"\
+MEL",keywords:"int float string vector matrix if else switch case default while do for in break continue global proc return about abs addAttr addAttributeEditorNodeHelp addDynamic addNewShelfTab addPP addPanelCategory addPrefixToName advanceToNextDrivenKey affectedNet affects aimConstraint air alias aliasAttr align alignCtx alignCurve alignSurface allViewFit ambientLight angle angleBetween animCone animCurveEditor animDisplay animView annotate appendStringArray applicationName applyAttrPreset ap\
+plyTake arcLenDimContext arcLengthDimension arclen arrayMapper art3dPaintCtx artAttrCtx artAttrPaintVertexCtx artAttrSkinPaintCtx artAttrTool artBuildPaintMenu artFluidAttrCtx artPuttyCtx artSelectCtx artSetPaintCtx artUserPaintCtx assignCommand assignInputDevice assignViewportFactories attachCurve attachDeviceAttr attachSurface attrColorSliderGrp attrCompatibility attrControlGrp attrEnumOptionMenu attrEnumOptionMenuGrp attrFieldGrp attrFieldSliderGrp attrNavigationControlGrp attrPresetEditWin a\
+ttributeExists attributeInfo attributeMenu attributeQuery autoKeyframe autoPlace bakeClip bakeFluidShading bakePartialHistory bakeResults bakeSimulation basename basenameEx batchRender bessel bevel bevelPlus binMembership bindSkin blend2 blendShape blendShapeEditor blendShapePanel blendTwoAttr blindDataType boneLattice boundary boxDollyCtx boxZoomCtx bufferCurve buildBookmarkMenu buildKeyframeMenu button buttonManip CBG cacheFile cacheFileCombine cacheFileMerge cacheFileTrack camera cameraView c\
+anCreateManip canvas capitalizeString catch catchQuiet ceil changeSubdivComponentDisplayLevel changeSubdivRegion channelBox character characterMap characterOutlineEditor characterize chdir checkBox checkBoxGrp checkDefaultRenderGlobals choice circle circularFillet clamp clear clearCache clip clipEditor clipEditorCurrentTimeCtx clipSchedule clipSchedulerOutliner clipTrimBefore closeCurve closeSurface cluster cmdFileOutput cmdScrollFieldExecuter cmdScrollFieldReporter cmdShell coarsenSubdivSelecti\
+onList collision color colorAtPoint colorEditor colorIndex colorIndexSliderGrp colorSliderButtonGrp colorSliderGrp columnLayout commandEcho commandLine commandPort compactHairSystem componentEditor compositingInterop computePolysetVolume condition cone confirmDialog connectAttr connectControl connectDynamic connectJoint connectionInfo constrain constrainValue constructionHistory container containsMultibyte contextInfo control convertFromOldLayers convertIffToPsd convertLightmap convertSolidTx co\
+nvertTessellation convertUnit copyArray copyFlexor copyKey copySkinWeights cos cpButton cpCache cpClothSet cpCollision cpConstraint cpConvClothToMesh cpForces cpGetSolverAttr cpPanel cpProperty cpRigidCollisionFilter cpSeam cpSetEdit cpSetSolverAttr cpSolver cpSolverTypes cpTool cpUpdateClothUVs createDisplayLayer createDrawCtx createEditor createLayeredPsdFile createMotionField createNewShelf createNode createRenderLayer createSubdivRegion cross crossProduct ctxAbort ctxCompletion ctxEditMode c\
+txTraverse currentCtx currentTime currentTimeCtx currentUnit curve curveAddPtCtx curveCVCtx curveEPCtx curveEditorCtx curveIntersect curveMoveEPCtx curveOnSurface curveSketchCtx cutKey cycleCheck cylinder dagPose date defaultLightListCheckBox defaultNavigation defineDataServer defineVirtualDevice deformer deg_to_rad delete deleteAttr deleteShadingGroupsAndMaterials deleteShelfTab deleteUI deleteUnusedBrushes delrandstr detachCurve detachDeviceAttr detachSurface deviceEditor devicePanel dgInfo dg\
+dirty dgeval dgtimer dimWhen directKeyCtx directionalLight dirmap dirname disable disconnectAttr disconnectJoint diskCache displacementToPoly displayAffected displayColor displayCull displayLevelOfDetail displayPref displayRGBColor displaySmoothness displayStats displayString displaySurface distanceDimContext distanceDimension doBlur dolly dollyCtx dopeSheetEditor dot dotProduct doubleProfileBirailSurface drag dragAttrContext draggerContext dropoffLocator duplicate duplicateCurve duplicateSurfac\
+e dynCache dynControl dynExport dynExpression dynGlobals dynPaintEditor dynParticleCtx dynPref dynRelEdPanel dynRelEditor dynamicLoad editAttrLimits editDisplayLayerGlobals editDisplayLayerMembers editRenderLayerAdjustment editRenderLayerGlobals editRenderLayerMembers editor editorTemplate effector emit emitter enableDevice encodeString endString endsWith env equivalent equivalentTol erf error eval evalDeferred evalEcho event exactWorldBoundingBox exclusiveLightCheckBox exec executeForEachObject\
+ exists exp expression expressionEditorListen extendCurve extendSurface extrude fcheck fclose feof fflush fgetline fgetword file fileBrowserDialog fileDialog fileExtension fileInfo filetest filletCurve filter filterCurve filterExpand filterStudioImport findAllIntersections findAnimCurves findKeyframe findMenuItem findRelatedSkinCluster finder firstParentOf fitBspline flexor floatEq floatField floatFieldGrp floatScrollBar floatSlider floatSlider2 floatSliderButtonGrp floatSliderGrp floor flow flu\
+idCacheInfo fluidEmitter fluidVoxelInfo flushUndo fmod fontDialog fopen formLayout format fprint frameLayout fread freeFormFillet frewind fromNativePath fwrite gamma gauss geometryConstraint getApplicationVersionAsFloat getAttr getClassification getDefaultBrush getFileList getFluidAttr getInputDeviceRange getMayaPanelTypes getModifiers getPanel getParticleAttr getPluginResource getenv getpid glRender glRenderEditor globalStitch gmatch goal gotoBindPose grabColor gradientControl gradientControlNo\
+Attr graphDollyCtx graphSelectContext graphTrackCtx gravity grid gridLayout group groupObjectsByName HfAddAttractorToAS HfAssignAS HfBuildEqualMap HfBuildFurFiles HfBuildFurImages HfCancelAFR HfConnectASToHF HfCreateAttractor HfDeleteAS HfEditAS HfPerformCreateAS HfRemoveAttractorFromAS HfSelectAttached HfSelectAttractors HfUnAssignAS hardenPointCurve hardware hardwareRenderPanel headsUpDisplay headsUpMessage help helpLine hermite hide hilite hitTest hotBox hotkey hotkeyCheck hsv_to_rgb hudButto\
+n hudSlider hudSliderButton hwReflectionMap hwRender hwRenderLoad hyperGraph hyperPanel hyperShade hypot iconTextButton iconTextCheckBox iconTextRadioButton iconTextRadioCollection iconTextScrollList iconTextStaticLabel ikHandle ikHandleCtx ikHandleDisplayScale ikSolver ikSplineHandleCtx ikSystem ikSystemInfo ikfkDisplayMethod illustratorCurves image imfPlugins inheritTransform insertJoint insertJointCtx insertKeyCtx insertKnotCurve insertKnotSurface instance instanceable instancer intField intF\
+ieldGrp intScrollBar intSlider intSliderGrp interToUI internalVar intersect iprEngine isAnimCurve isConnected isDirty isParentOf isSameObject isTrue isValidObjectName isValidString isValidUiName isolateSelect itemFilter itemFilterAttr itemFilterRender itemFilterType joint jointCluster jointCtx jointDisplayScale jointLattice keyTangent keyframe keyframeOutliner keyframeRegionCurrentTimeCtx keyframeRegionDirectKeyCtx keyframeRegionDollyCtx keyframeRegionInsertKeyCtx keyframeRegionMoveKeyCtx keyfra\
+meRegionScaleKeyCtx keyframeRegionSelectKeyCtx keyframeRegionSetKeyCtx keyframeRegionTrackCtx keyframeStats lassoContext lattice latticeDeformKeyCtx launch launchImageEditor layerButton layeredShaderPort layeredTexturePort layout layoutDialog lightList lightListEditor lightListPanel lightlink lineIntersection linearPrecision linstep listAnimatable listAttr listCameras listConnections listDeviceAttachments listHistory listInputDeviceAxes listInputDeviceButtons listInputDevices listMenuAnnotation \
+listNodeTypes listPanelCategories listRelatives listSets listTransforms listUnselected listerEditor loadFluid loadNewShelf loadPlugin loadPluginLanguageResources loadPrefObjects localizedPanelLabel lockNode loft log longNameOf lookThru ls lsThroughFilter lsType lsUI Mayatomr mag makeIdentity makeLive makePaintable makeRoll makeSingleSurface makeTubeOn makebot manipMoveContext manipMoveLimitsCtx manipOptions manipRotateContext manipRotateLimitsCtx manipScaleContext manipScaleLimitsCtx marker matc\
+h max memory menu menuBarLayout menuEditor menuItem menuItemToShelf menuSet menuSetPref messageLine min minimizeApp mirrorJoint modelCurrentTimeCtx modelEditor modelPanel mouse movIn movOut move moveIKtoFK moveKeyCtx moveVertexAlongDirection multiProfileBirailSurface mute nParticle nameCommand nameField namespace namespaceInfo newPanelItems newton nodeCast nodeIconButton nodeOutliner nodePreset nodeType noise nonLinear normalConstraint normalize nurbsBoolean nurbsCopyUVSet nurbsCube nurbsEditUV \
+nurbsPlane nurbsSelect nurbsSquare nurbsToPoly nurbsToPolygonsPref nurbsToSubdiv nurbsToSubdivPref nurbsUVSet nurbsViewDirectionVector objExists objectCenter objectLayer objectType objectTypeUI obsoleteProc oceanNurbsPreviewPlane offsetCurve offsetCurveOnSurface offsetSurface openGLExtension openMayaPref optionMenu optionMenuGrp optionVar orbit orbitCtx orientConstraint outlinerEditor outlinerPanel overrideModifier paintEffectsDisplay pairBlend palettePort paneLayout panel panelConfiguration pan\
+elHistory paramDimContext paramDimension paramLocator parent parentConstraint particle particleExists particleInstancer particleRenderInfo partition pasteKey pathAnimation pause pclose percent performanceOptions pfxstrokes pickWalk picture pixelMove planarSrf plane play playbackOptions playblast plugAttr plugNode pluginInfo pluginResourceUtil pointConstraint pointCurveConstraint pointLight pointMatrixMult pointOnCurve pointOnSurface pointPosition poleVectorConstraint polyAppend polyAppendFacetCt\
+x polyAppendVertex polyAutoProjection polyAverageNormal polyAverageVertex polyBevel polyBlendColor polyBlindData polyBoolOp polyBridgeEdge polyCacheMonitor polyCheck polyChipOff polyClipboard polyCloseBorder polyCollapseEdge polyCollapseFacet polyColorBlindData polyColorDel polyColorPerVertex polyColorSet polyCompare polyCone polyCopyUV polyCrease polyCreaseCtx polyCreateFacet polyCreateFacetCtx polyCube polyCut polyCutCtx polyCylinder polyCylindricalProjection polyDelEdge polyDelFacet polyDelVe\
+rtex polyDuplicateAndConnect polyDuplicateEdge polyEditUV polyEditUVShell polyEvaluate polyExtrudeEdge polyExtrudeFacet polyExtrudeVertex polyFlipEdge polyFlipUV polyForceUV polyGeoSampler polyHelix polyInfo polyInstallAction polyLayoutUV polyListComponentConversion polyMapCut polyMapDel polyMapSew polyMapSewMove polyMergeEdge polyMergeEdgeCtx polyMergeFacet polyMergeFacetCtx polyMergeUV polyMergeVertex polyMirrorFace polyMoveEdge polyMoveFacet polyMoveFacetUV polyMoveUV polyMoveVertex polyNorma\
+l polyNormalPerVertex polyNormalizeUV polyOptUvs polyOptions polyOutput polyPipe polyPlanarProjection polyPlane polyPlatonicSolid polyPoke polyPrimitive polyPrism polyProjection polyPyramid polyQuad polyQueryBlindData polyReduce polySelect polySelectConstraint polySelectConstraintMonitor polySelectCtx polySelectEditCtx polySeparate polySetToFaceNormal polySewEdge polyShortestPathCtx polySmooth polySoftEdge polySphere polySphericalProjection polySplit polySplitCtx polySplitEdge polySplitRing poly\
+SplitVertex polyStraightenUVBorder polySubdivideEdge polySubdivideFacet polyToSubdiv polyTorus polyTransfer polyTriangulate polyUVSet polyUnite polyWedgeFace popen popupMenu pose pow preloadRefEd print progressBar progressWindow projFileViewer projectCurve projectTangent projectionContext projectionManip promptDialog propModCtx propMove psdChannelOutliner psdEditTextureFile psdExport psdTextureFile putenv pwd python querySubdiv quit rad_to_deg radial radioButton radioButtonGrp radioCollection ra\
+dioMenuItemCollection rampColorPort rand randomizeFollicles randstate rangeControl readTake rebuildCurve rebuildSurface recordAttr recordDevice redo reference referenceEdit referenceQuery refineSubdivSelectionList refresh refreshAE registerPluginResource rehash reloadImage removeJoint removeMultiInstance removePanelCategory rename renameAttr renameSelectionList renameUI render renderGlobalsNode renderInfo renderLayerButton renderLayerParent renderLayerPostProcess renderLayerUnparent renderManip \
+renderPartition renderQualityNode renderSettings renderThumbnailUpdate renderWindowEditor renderWindowSelectContext renderer reorder reorderDeformers requires reroot resampleFluid resetAE resetPfxToPolyCamera resetTool resolutionNode retarget reverseCurve reverseSurface revolve rgb_to_hsv rigidBody rigidSolver roll rollCtx rootOf rot rotate rotationInterpolation roundConstantRadius rowColumnLayout rowLayout runTimeCommand runup sampleImage saveAllShelves saveAttrPreset saveFluid saveImage saveIn\
+itialState saveMenu savePrefObjects savePrefs saveShelf saveToolSettings scale scaleBrushBrightness scaleComponents scaleConstraint scaleKey scaleKeyCtx sceneEditor sceneUIReplacement scmh scriptCtx scriptEditorInfo scriptJob scriptNode scriptTable scriptToShelf scriptedPanel scriptedPanelType scrollField scrollLayout sculpt searchPathArray seed selLoadSettings select selectContext selectCurveCV selectKey selectKeyCtx selectKeyframeRegionCtx selectMode selectPref selectPriority selectType select\
+edNodes selectionConnection separator setAttr setAttrEnumResource setAttrMapping setAttrNiceNameResource setConstraintRestPosition setDefaultShadingGroup setDrivenKeyframe setDynamic setEditCtx setEditor setFluidAttr setFocus setInfinity setInputDeviceMapping setKeyCtx setKeyPath setKeyframe setKeyframeBlendshapeTargetWts setMenuMode setNodeNiceNameResource setNodeTypeFlag setParent setParticleAttr setPfxToPolyCamera setPluginResource setProject setStampDensity setStartupMessage setState setTool\
+To setUITemplate setXformManip sets shadingConnection shadingGeometryRelCtx shadingLightRelCtx shadingNetworkCompare shadingNode shapeCompare shelfButton shelfLayout shelfTabLayout shellField shortNameOf showHelp showHidden showManipCtx showSelectionInTitle showShadingGroupAttrEditor showWindow sign simplify sin singleProfileBirailSurface size sizeBytes skinCluster skinPercent smoothCurve smoothTangentSurface smoothstep snap2to2 snapKey snapMode snapTogetherCtx snapshot soft softMod softModCtx s\
+ort sound soundControl source spaceLocator sphere sphrand spotLight spotLightPreviewPort spreadSheetEditor spring sqrt squareSurface srtContext stackTrace startString startsWith stitchAndExplodeShell stitchSurface stitchSurfacePoints strcmp stringArrayCatenate stringArrayContains stringArrayCount stringArrayInsertAtIndex stringArrayIntersector stringArrayRemove stringArrayRemoveAtIndex stringArrayRemoveDuplicates stringArrayRemoveExact stringArrayToString stringToStringArray strip stripPrefixFro\
+mName stroke subdAutoProjection subdCleanTopology subdCollapse subdDuplicateAndConnect subdEditUV subdListComponentConversion subdMapCut subdMapSewMove subdMatchTopology subdMirror subdToBlind subdToPoly subdTransferUVsToCache subdiv subdivCrease subdivDisplaySmoothness substitute substituteAllString substituteGeometry substring surface surfaceSampler surfaceShaderList swatchDisplayPort switchTable symbolButton symbolCheckBox sysFile system tabLayout tan tangentConstraint texLatticeDeformContext\
+ texManipContext texMoveContext texMoveUVShellContext texRotateContext texScaleContext texSelectContext texSelectShortestPathCtx texSmudgeUVContext texWinToolCtx text textCurves textField textFieldButtonGrp textFieldGrp textManip textScrollList textToShelf textureDisplacePlane textureHairColor texturePlacementContext textureWindow threadCount threePointArcCtx timeControl timePort timerX toNativePath toggle toggleAxis toggleWindowVisibility tokenize tokenizeList tolerance tolower toolButton toolC\
+ollection toolDropped toolHasOptions toolPropertyWindow torus toupper trace track trackCtx transferAttributes transformCompare transformLimits translator trim trunc truncateFluidCache truncateHairCache tumble tumbleCtx turbulence twoPointArcCtx uiRes uiTemplate unassignInputDevice undo undoInfo ungroup uniform unit unloadPlugin untangleUV untitledFileName untrim upAxis updateAE userCtx uvLink uvSnapshot validateShelfName vectorize view2dToolCtx viewCamera viewClipPlane viewFit viewHeadOn viewLoo\
+kAt viewManip viewPlace viewSet visor volumeAxis vortex waitCursor warning webBrowser webBrowserPrefs whatIs window windowPref wire wireContext workspace wrinkle wrinkleContext writeTake xbmLangPathList xform",illegal:"</",contains:[hljs.C_NUMBER_MODE,hljs.APOS_STRING_MODE,hljs.QUOTE_STRING_MODE,{className:"string",begin:"`",end:"`",contains:[hljs.BACKSLASH_ESCAPE]},{begin:/[$%@](\^\w\b|#\w+|[^\s\w{]|\{\w+\}|\w+)/},hljs.C_LINE_COMMENT_MODE,hljs.C_BLOCK_COMMENT_MODE]}}return mel_1=mel2,mel_1}var mercury_1,
+hasRequiredMercury;function requireMercury(){if(hasRequiredMercury)return mercury_1;hasRequiredMercury=1;function mercury2(hljs){const KEYWORDS2={keyword:"module use_module import_module include_module end_module initialise mutable initialize finalize finalise interface implementation pred mode func type inst solver any_pred any_func is semidet det nondet multi erroneous failure cc_nondet cc_multi typeclass instance where pragma promise external trace atomic or_else require_complete_switch requi\
+re_det require_semidet require_multi require_nondet require_cc_multi require_cc_nondet require_erroneous require_failure",meta:"inline no_inline type_spec source_file fact_table obsolete memo loop_check minimal_model terminates does_not_terminate check_termination promise_equivalent_clauses foreign_proc foreign_decl foreign_code foreign_type foreign_import_module foreign_export_enum foreign_export foreign_enum may_call_mercury will_not_call_mercury thread_safe not_thread_safe maybe_thread_safe p\
+romise_pure promise_semipure tabled_for_io local untrailed trailed attach_to_io_state can_pass_as_mercury_type stable will_not_throw_exception may_modify_trail will_not_modify_trail may_duplicate may_not_duplicate affects_liveness does_not_affect_liveness doesnt_affect_liveness no_sharing unknown_sharing sharing",built_in:"some all not if then else true fail false try catch catch_any semidet_true semidet_false semidet_fail impure_true impure semipure"},COMMENT=hljs.COMMENT("%","$"),NUMCODE={className:"\
+number",begin:"0'.\\|0[box][0-9a-fA-F]*"},ATOM=hljs.inherit(hljs.APOS_STRING_MODE,{relevance:0}),STRING=hljs.inherit(hljs.QUOTE_STRING_MODE,{relevance:0}),STRING_FMT={className:"subst",begin:"\\\\[abfnrtv]\\|\\\\x[0-9a-fA-F]*\\\\\\|%[-+# *.0-9]*[dioxXucsfeEgGp]",relevance:0};return STRING.contains=STRING.contains.slice(),STRING.contains.push(STRING_FMT),{name:"Mercury",aliases:["m","moo"],keywords:KEYWORDS2,contains:[{className:"built_in",variants:[{begin:"<=>"},{begin:"<=",relevance:0},{begin:"\
+=>",relevance:0},{begin:"/\\\\"},{begin:"\\\\/"}]},{className:"built_in",variants:[{begin:":-\\|-->"},{begin:"=",relevance:0}]},COMMENT,hljs.C_BLOCK_COMMENT_MODE,NUMCODE,hljs.NUMBER_MODE,ATOM,STRING,{begin:/:-/},{begin:/\.$/}]}}return mercury_1=mercury2,mercury_1}var mipsasm_1,hasRequiredMipsasm;function requireMipsasm(){if(hasRequiredMipsasm)return mipsasm_1;hasRequiredMipsasm=1;function mipsasm2(hljs){return{name:"MIPS Assembly",case_insensitive:!0,aliases:["mips"],keywords:{$pattern:"\\.?"+hljs.
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fcmovb fcmovbe fcmove fcmovnb fcmovnbe fcmovne fcmovnu fcmovu fcom fcomi fcomip fcomp fcompp fcos fdecstp fdisi fdiv fdivp fdivr fdivrp femms feni ffree ffreep fiadd ficom ficomp fidiv fidivr fild fimul fincstp finit fist fistp fisttp fisub fisubr fld fld1 fldcw fldenv fldl2e fldl2t fldlg2 fldln2 fldpi fldz fmul fmulp fnclex fndisi fneni fninit fnop fnsave fnstcw fnstenv fnstsw fpatan fprem fprem1 fptan frndint frstor fsave fscale fsetpm fsin fsincos fsqrt fst fstcw fstenv fstp fstsw fsub fsubp fsubr fsubrp ftst fucom fucomi fucomip fucomp fucompp fxam fxch fxtract fyl2x fyl2xp1 hlt ibts icebp idiv imul in inc incbin insb insd insw int int01 int1 int03 int3 into invd invpcid invlpg invlpga iret iretd iretq iretw jcxz jecxz jrcxz jmp jmpe lahf lar lds lea leave les lfence lfs lgdt lgs lidt lldt lmsw loadall loadall286 lodsb lodsd lodsq lodsw loop loope loopne loopnz loopz lsl lss ltr mfence monitor mov movd movq movsb movsd movsq movsw movsx movsxd movzx mul mwait neg nop not or out 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ud1 ud2b ud2 ud2a umov verr verw fwait wbinvd wrshr wrmsr xadd xbts xchg xlatb xlat xor cmove cmovz cmovne cmovnz cmova cmovnbe cmovae cmovnb cmovb cmovnae cmovbe cmovna cmovg cmovnle cmovge cmovnl cmovl cmovnge cmovle cmovng cmovc cmovnc cmovo cmovno cmovs cmovns cmovp cmovpe cmovnp cmovpo je jz jne jnz ja jnbe jae jnb jb jnae jbe jna jg jnle jge jnl jl jnge jle jng jc jnc jo jno js jns jpo jnp jpe jp sete setz setne setnz seta setnbe setae setnb setnc setb setnae setcset setbe setna setg setnle setge setnl setl setnge setle setng sets setns seto setno setpe setp setpo setnp addps addss andnps andps cmpeqps cmpeqss cmpleps cmpless cmpltps cmpltss cmpneqps cmpneqss cmpnleps cmpnless cmpnltps cmpnltss cmpordps cmpordss cmpunordps cmpunordss cmpps cmpss comiss cvtpi2ps cvtps2pi cvtsi2ss cvtss2si cvttps2pi cvttss2si divps divss ldmxcsr maxps maxss minps minss movaps movhps movlhps movlps movhlps movmskps movntps movss movups mulps mulss orps rcpps rcpss rsqrtps rsqrtss shufps sqrtps sqrtss stmxcsr subps subss ucomiss unpckhps unpcklps xorps fxrstor fxrstor64 fxsave fxsave64 xgetbv xsetbv xsave xsave64 xsaveopt xsaveopt64 xrstor xrstor64 prefetchnta prefetcht0 prefetcht1 prefetcht2 maskmovq movntq pavgb pavgw pextrw pinsrw pmaxsw pmaxub pminsw pminub pmovmskb pmulhuw psadbw pshufw pf2iw pfnacc pfpnacc pi2fw pswapd maskmovdqu clflush movntdq movnti movntpd movdqa movdqu movdq2q movq2dq paddq pmuludq pshufd pshufhw pshuflw pslldq psrldq psubq punpckhqdq punpcklqdq addpd addsd andnpd andpd cmpeqpd cmpeqsd cmplepd cmplesd cmpltpd cmpltsd cmpneqpd cmpneqsd cmpnlepd cmpnlesd cmpnltpd cmpnltsd cmpordpd cmpordsd cmpunordpd cmpunordsd cmppd comisd cvtdq2pd cvtdq2ps cvtpd2dq cvtpd2pi cvtpd2ps cvtpi2pd cvtps2dq cvtps2pd cvtsd2si cvtsd2ss cvtsi2sd cvtss2sd cvttpd2pi cvttpd2dq cvttps2dq cvttsd2si divpd divsd maxpd maxsd minpd minsd movapd movhpd movlpd movmskpd movupd mulpd mulsd orpd shufpd sqrtpd sqrtsd subpd subsd ucomisd unpckhpd unpcklpd xorpd addsubpd addsubps haddpd haddps hsubpd hsubps lddqu movddup movshdup movsldup clgi stgi vmcall vmclear vmfunc vmlaunch vmload vmmcall vmptrld vmptrst vmread vmresume vmrun vmsave vmwrite vmxoff vmxon invept invvpid pabsb pabsw pabsd palignr phaddw phaddd phaddsw phsubw phsubd phsubsw pmaddubsw pmulhrsw pshufb psignb psignw psignd extrq insertq movntsd movntss lzcnt blendpd blendps blendvpd blendvps dppd dpps extractps insertps movntdqa mpsadbw packusdw pblendvb pblendw pcmpeqq pextrb pextrd pextrq phminposuw pinsrb pinsrd pinsrq pmaxsb pmaxsd pmaxud pmaxuw pminsb pminsd pminud pminuw pmovsxbw pmovsxbd pmovsxbq pmovsxwd pmovsxwq pmovsxdq pmovzxbw pmovzxbd pmovzxbq pmovzxwd pmovzxwq pmovzxdq pmuldq pmulld ptest roundpd roundps roundsd roundss crc32 pcmpestri pcmpestrm pcmpistri pcmpistrm pcmpgtq popcnt getsec pfrcpv pfrsqrtv movbe aesenc aesenclast aesdec aesdeclast aesimc aeskeygenassist vaesenc vaesenclast vaesdec vaesdeclast vaesimc vaeskeygenassist vaddpd vaddps vaddsd vaddss vaddsubpd vaddsubps vandpd 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vcmplt_oqps vcmple_oqps vcmpunord_sps vcmpneq_usps vcmpnlt_uqps vcmpnle_uqps vcmpord_sps vcmpeq_usps vcmpnge_uqps vcmpngt_uqps vcmpfalse_osps vcmpneq_osps vcmpge_oqps vcmpgt_oqps vcmptrue_usps vcmpps vcmpeq_ossd vcmpeqsd vcmplt_ossd vcmpltsd vcmple_ossd vcmplesd vcmpunord_qsd vcmpunordsd vcmpneq_uqsd vcmpneqsd vcmpnlt_ussd vcmpnltsd vcmpnle_ussd vcmpnlesd vcmpord_qsd vcmpordsd vcmpeq_uqsd vcmpnge_ussd vcmpngesd vcmpngt_ussd vcmpngtsd vcmpfalse_oqsd vcmpfalsesd vcmpneq_oqsd vcmpge_ossd vcmpgesd vcmpgt_ossd vcmpgtsd vcmptrue_uqsd vcmptruesd vcmplt_oqsd vcmple_oqsd vcmpunord_ssd vcmpneq_ussd vcmpnlt_uqsd vcmpnle_uqsd vcmpord_ssd vcmpeq_ussd vcmpnge_uqsd vcmpngt_uqsd vcmpfalse_ossd vcmpneq_ossd vcmpge_oqsd vcmpgt_oqsd vcmptrue_ussd vcmpsd vcmpeq_osss vcmpeqss vcmplt_osss vcmpltss vcmple_osss vcmpless vcmpunord_qss vcmpunordss vcmpneq_uqss vcmpneqss vcmpnlt_usss vcmpnltss vcmpnle_usss vcmpnless vcmpord_qss vcmpordss vcmpeq_uqss vcmpnge_usss vcmpngess vcmpngt_usss vcmpngtss vcmpfalse_oqss vcmpfalsess vcmpneq_oqss vcmpge_osss vcmpgess vcmpgt_osss vcmpgtss vcmptrue_uqss vcmptruess vcmplt_oqss vcmple_oqss vcmpunord_sss vcmpneq_usss vcmpnlt_uqss vcmpnle_uqss vcmpord_sss vcmpeq_usss vcmpnge_uqss vcmpngt_uqss vcmpfalse_osss vcmpneq_osss vcmpge_oqss vcmpgt_oqss vcmptrue_usss vcmpss vcomisd vcomiss vcvtdq2pd vcvtdq2ps vcvtpd2dq vcvtpd2ps vcvtps2dq vcvtps2pd vcvtsd2si vcvtsd2ss vcvtsi2sd vcvtsi2ss vcvtss2sd vcvtss2si vcvttpd2dq vcvttps2dq vcvttsd2si vcvttss2si vdivpd vdivps vdivsd vdivss vdppd vdpps vextractf128 vextractps vhaddpd vhaddps vhsubpd vhsubps vinsertf128 vinsertps vlddqu vldqqu vldmxcsr vmaskmovdqu vmaskmovps vmaskmovpd vmaxpd vmaxps vmaxsd vmaxss vminpd vminps vminsd vminss vmovapd vmovaps vmovd vmovq vmovddup vmovdqa vmovqqa vmovdqu vmovqqu vmovhlps vmovhpd vmovhps vmovlhps vmovlpd vmovlps vmovmskpd vmovmskps vmovntdq vmovntqq vmovntdqa vmovntpd vmovntps vmovsd vmovshdup vmovsldup vmovss vmovupd vmovups vmpsadbw vmulpd vmulps vmulsd vmulss vorpd vorps vpabsb vpabsw vpabsd vpacksswb vpackssdw vpackuswb vpackusdw vpaddb vpaddw vpaddd vpaddq vpaddsb vpaddsw vpaddusb vpaddusw vpalignr vpand vpandn vpavgb vpavgw vpblendvb vpblendw vpcmpestri vpcmpestrm vpcmpistri vpcmpistrm vpcmpeqb vpcmpeqw vpcmpeqd vpcmpeqq vpcmpgtb vpcmpgtw vpcmpgtd vpcmpgtq vpermilpd vpermilps vperm2f128 vpextrb vpextrw vpextrd vpextrq vphaddw vphaddd vphaddsw vphminposuw vphsubw vphsubd vphsubsw vpinsrb vpinsrw vpinsrd vpinsrq vpmaddwd vpmaddubsw vpmaxsb vpmaxsw vpmaxsd vpmaxub vpmaxuw vpmaxud vpminsb vpminsw vpminsd vpminub vpminuw vpminud vpmovmskb vpmovsxbw vpmovsxbd vpmovsxbq vpmovsxwd vpmovsxwq vpmovsxdq vpmovzxbw vpmovzxbd vpmovzxbq vpmovzxwd vpmovzxwq vpmovzxdq vpmulhuw vpmulhrsw vpmulhw vpmullw vpmulld vpmuludq vpmuldq vpor vpsadbw vpshufb vpshufd vpshufhw vpshuflw vpsignb vpsignw vpsignd vpslldq vpsrldq vpsllw vpslld vpsllq vpsraw vpsrad vpsrlw vpsrld vpsrlq vptest vpsubb vpsubw vpsubd vpsubq vpsubsb vpsubsw vpsubusb vpsubusw vpunpckhbw vpunpckhwd vpunpckhdq vpunpckhqdq vpunpcklbw vpunpcklwd vpunpckldq vpunpcklqdq vpxor vrcpps vrcpss vrsqrtps vrsqrtss vroundpd vroundps vroundsd vroundss vshufpd vshufps vsqrtpd vsqrtps vsqrtsd vsqrtss vstmxcsr vsubpd vsubps vsubsd vsubss vtestps vtestpd vucomisd vucomiss vunpckhpd vunpckhps vunpcklpd vunpcklps vxorpd vxorps vzeroall vzeroupper pclmullqlqdq pclmulhqlqdq pclmullqhqdq pclmulhqhqdq pclmulqdq vpclmullqlqdq vpclmulhqlqdq vpclmullqhqdq vpclmulhqhqdq vpclmulqdq vfmadd132ps vfmadd132pd vfmadd312ps vfmadd312pd vfmadd213ps vfmadd213pd vfmadd123ps vfmadd123pd vfmadd231ps vfmadd231pd vfmadd321ps vfmadd321pd vfmaddsub132ps vfmaddsub132pd vfmaddsub312ps vfmaddsub312pd vfmaddsub213ps vfmaddsub213pd vfmaddsub123ps vfmaddsub123pd vfmaddsub231ps vfmaddsub231pd vfmaddsub321ps vfmaddsub321pd vfmsub132ps vfmsub132pd vfmsub312ps vfmsub312pd vfmsub213ps vfmsub213pd vfmsub123ps vfmsub123pd vfmsub231ps vfmsub231pd vfmsub321ps vfmsub321pd vfmsubadd132ps vfmsubadd132pd vfmsubadd312ps vfmsubadd312pd vfmsubadd213ps vfmsubadd213pd vfmsubadd123ps vfmsubadd123pd vfmsubadd231ps vfmsubadd231pd vfmsubadd321ps vfmsubadd321pd vfnmadd132ps vfnmadd132pd vfnmadd312ps vfnmadd312pd vfnmadd213ps vfnmadd213pd vfnmadd123ps vfnmadd123pd vfnmadd231ps vfnmadd231pd vfnmadd321ps vfnmadd321pd vfnmsub132ps vfnmsub132pd vfnmsub312ps vfnmsub312pd vfnmsub213ps vfnmsub213pd vfnmsub123ps vfnmsub123pd vfnmsub231ps vfnmsub231pd vfnmsub321ps vfnmsub321pd vfmadd132ss vfmadd132sd vfmadd312ss vfmadd312sd vfmadd213ss vfmadd213sd vfmadd123ss vfmadd123sd vfmadd231ss vfmadd231sd vfmadd321ss vfmadd321sd vfmsub132ss vfmsub132sd vfmsub312ss vfmsub312sd vfmsub213ss vfmsub213sd vfmsub123ss vfmsub123sd vfmsub231ss vfmsub231sd vfmsub321ss vfmsub321sd vfnmadd132ss vfnmadd132sd vfnmadd312ss vfnmadd312sd vfnmadd213ss vfnmadd213sd vfnmadd123ss vfnmadd123sd vfnmadd231ss vfnmadd231sd vfnmadd321ss vfnmadd321sd vfnmsub132ss vfnmsub132sd vfnmsub312ss vfnmsub312sd vfnmsub213ss vfnmsub213sd vfnmsub123ss vfnmsub123sd vfnmsub231ss vfnmsub231sd vfnmsub321ss vfnmsub321sd rdfsbase rdgsbase rdrand wrfsbase wrgsbase vcvtph2ps vcvtps2ph adcx adox rdseed clac stac xstore xcryptecb xcryptcbc xcryptctr xcryptcfb xcryptofb montmul xsha1 xsha256 llwpcb slwpcb lwpval lwpins vfmaddpd vfmaddps vfmaddsd vfmaddss vfmaddsubpd vfmaddsubps vfmsubaddpd vfmsubaddps vfmsubpd vfmsubps vfmsubsd vfmsubss vfnmaddpd vfnmaddps vfnmaddsd vfnmaddss vfnmsubpd vfnmsubps vfnmsubsd vfnmsubss vfrczpd vfrczps vfrczsd vfrczss vpcmov vpcomb vpcomd vpcomq vpcomub vpcomud vpcomuq vpcomuw vpcomw vphaddbd vphaddbq vphaddbw vphadddq vphaddubd vphaddubq vphaddubw vphaddudq vphadduwd vphadduwq vphaddwd vphaddwq vphsubbw vphsubdq vphsubwd vpmacsdd vpmacsdqh vpmacsdql vpmacssdd vpmacssdqh vpmacssdql vpmacsswd vpmacssww vpmacswd vpmacsww vpmadcsswd vpmadcswd vpperm vprotb vprotd vprotq vprotw vpshab vpshad vpshaq vpshaw vpshlb vpshld vpshlq vpshlw vbroadcasti128 vpblendd vpbroadcastb vpbroadcastw vpbroadcastd vpbroadcastq vpermd vpermpd vpermps vpermq vperm2i128 vextracti128 vinserti128 vpmaskmovd vpmaskmovq vpsllvd vpsllvq vpsravd vpsrlvd vpsrlvq vgatherdpd vgatherqpd vgatherdps vgatherqps vpgatherdd vpgatherqd vpgatherdq vpgatherqq xabort xbegin xend xtest andn bextr blci blcic blsi blsic blcfill blsfill blcmsk blsmsk blsr blcs bzhi mulx pdep pext rorx sarx shlx shrx tzcnt tzmsk t1mskc valignd valignq vblendmpd vblendmps vbroadcastf32x4 vbroadcastf64x4 vbroadcasti32x4 vbroadcasti64x4 vcompresspd vcompressps vcvtpd2udq vcvtps2udq vcvtsd2usi vcvtss2usi vcvttpd2udq vcvttps2udq vcvttsd2usi vcvttss2usi vcvtudq2pd vcvtudq2ps vcvtusi2sd vcvtusi2ss vexpandpd vexpandps vextractf32x4 vextractf64x4 vextracti32x4 vextracti64x4 vfixupimmpd vfixupimmps vfixupimmsd vfixupimmss vgetexppd vgetexpps vgetexpsd vgetexpss vgetmantpd vgetmantps vgetmantsd vgetmantss vinsertf32x4 vinsertf64x4 vinserti32x4 vinserti64x4 vmovdqa32 vmovdqa64 vmovdqu32 vmovdqu64 vpabsq vpandd vpandnd vpandnq vpandq vpblendmd vpblendmq vpcmpltd vpcmpled vpcmpneqd vpcmpnltd vpcmpnled vpcmpd vpcmpltq 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+aam aas adc add and arpl bb0_reset bb1_reset bound bsf bsr bswap bt btc btr bts call cbw cdq cdqe clc cld cli clts cmc cmp cmpsb cmpsd cmpsq cmpsw cmpxchg cmpxchg486 cmpxchg8b cmpxchg16b cpuid cpu_read cpu_write cqo cwd cwde daa das dec div dmint emms enter equ f2xm1 fabs fadd faddp fbld fbstp fchs fclex fcmovb fcmovbe fcmove fcmovnb fcmovnbe fcmovne fcmovnu fcmovu fcom fcomi fcomip fcomp fcompp fcos fdecstp fdisi fdiv fdivp fdivr fdivrp femms feni ffree ffreep fiadd ficom ficomp fidiv fidivr fi\
+ld fimul fincstp finit fist fistp fisttp fisub fisubr fld fld1 fldcw fldenv fldl2e fldl2t fldlg2 fldln2 fldpi fldz fmul fmulp fnclex fndisi fneni fninit fnop fnsave fnstcw fnstenv fnstsw fpatan fprem fprem1 fptan frndint frstor fsave fscale fsetpm fsin fsincos fsqrt fst fstcw fstenv fstp fstsw fsub fsubp fsubr fsubrp ftst fucom fucomi fucomip fucomp fucompp fxam fxch fxtract fyl2x fyl2xp1 hlt ibts icebp idiv imul in inc incbin insb insd insw int int01 int1 int03 int3 into invd invpcid invlpg inv\
+lpga iret iretd iretq iretw jcxz jecxz jrcxz jmp jmpe lahf lar lds lea leave les lfence lfs lgdt lgs lidt lldt lmsw loadall loadall286 lodsb lodsd lodsq lodsw loop loope loopne loopnz loopz lsl lss ltr mfence monitor mov movd movq movsb movsd movsq movsw movsx movsxd movzx mul mwait neg nop not or out outsb outsd outsw packssdw packsswb packuswb paddb paddd paddsb paddsiw paddsw paddusb paddusw paddw pand pandn pause paveb pavgusb pcmpeqb pcmpeqd pcmpeqw pcmpgtb pcmpgtd pcmpgtw pdistib pf2id pfa\
+cc pfadd pfcmpeq pfcmpge pfcmpgt pfmax pfmin pfmul pfrcp pfrcpit1 pfrcpit2 pfrsqit1 pfrsqrt pfsub pfsubr pi2fd pmachriw pmaddwd pmagw pmulhriw pmulhrwa pmulhrwc pmulhw pmullw pmvgezb pmvlzb pmvnzb pmvzb pop popa popad popaw popf popfd popfq popfw por prefetch prefetchw pslld psllq psllw psrad psraw psrld psrlq psrlw psubb psubd psubsb psubsiw psubsw psubusb psubusw psubw punpckhbw punpckhdq punpckhwd punpcklbw punpckldq punpcklwd push pusha pushad pushaw pushf pushfd pushfq pushfw pxor rcl rcr r\
+dshr rdmsr rdpmc rdtsc rdtscp ret retf retn rol ror rdm rsdc rsldt rsm rsts sahf sal salc sar sbb scasb scasd scasq scasw sfence sgdt shl shld shr shrd sidt sldt skinit smi smint smintold smsw stc std sti stosb stosd stosq stosw str sub svdc svldt svts swapgs syscall sysenter sysexit sysret test ud0 ud1 ud2b ud2 ud2a umov verr verw fwait wbinvd wrshr wrmsr xadd xbts xchg xlatb xlat xor cmove cmovz cmovne cmovnz cmova cmovnbe cmovae cmovnb cmovb cmovnae cmovbe cmovna cmovg cmovnle cmovge cmovnl c\
+movl cmovnge cmovle cmovng cmovc cmovnc cmovo cmovno cmovs cmovns cmovp cmovpe cmovnp cmovpo je jz jne jnz ja jnbe jae jnb jb jnae jbe jna jg jnle jge jnl jl jnge jle jng jc jnc jo jno js jns jpo jnp jpe jp sete setz setne setnz seta setnbe setae setnb setnc setb setnae setcset setbe setna setg setnle setge setnl setl setnge setle setng sets setns seto setno setpe setp setpo setnp addps addss andnps andps cmpeqps cmpeqss cmpleps cmpless cmpltps cmpltss cmpneqps cmpneqss cmpnleps cmpnless cmpnltp\
+s cmpnltss cmpordps cmpordss cmpunordps cmpunordss cmpps cmpss comiss cvtpi2ps cvtps2pi cvtsi2ss cvtss2si cvttps2pi cvttss2si divps divss ldmxcsr maxps maxss minps minss movaps movhps movlhps movlps movhlps movmskps movntps movss movups mulps mulss orps rcpps rcpss rsqrtps rsqrtss shufps sqrtps sqrtss stmxcsr subps subss ucomiss unpckhps unpcklps xorps fxrstor fxrstor64 fxsave fxsave64 xgetbv xsetbv xsave xsave64 xsaveopt xsaveopt64 xrstor xrstor64 prefetchnta prefetcht0 prefetcht1 prefetcht2 ma\
+skmovq movntq pavgb pavgw pextrw pinsrw pmaxsw pmaxub pminsw pminub pmovmskb pmulhuw psadbw pshufw pf2iw pfnacc pfpnacc pi2fw pswapd maskmovdqu clflush movntdq movnti movntpd movdqa movdqu movdq2q movq2dq paddq pmuludq pshufd pshufhw pshuflw pslldq psrldq psubq punpckhqdq punpcklqdq addpd addsd andnpd andpd cmpeqpd cmpeqsd cmplepd cmplesd cmpltpd cmpltsd cmpneqpd cmpneqsd cmpnlepd cmpnlesd cmpnltpd cmpnltsd cmpordpd cmpordsd cmpunordpd cmpunordsd cmppd comisd cvtdq2pd cvtdq2ps cvtpd2dq cvtpd2pi \
+cvtpd2ps cvtpi2pd cvtps2dq cvtps2pd cvtsd2si cvtsd2ss cvtsi2sd cvtss2sd cvttpd2pi cvttpd2dq cvttps2dq cvttsd2si divpd divsd maxpd maxsd minpd minsd movapd movhpd movlpd movmskpd movupd mulpd mulsd orpd shufpd sqrtpd sqrtsd subpd subsd ucomisd unpckhpd unpcklpd xorpd addsubpd addsubps haddpd haddps hsubpd hsubps lddqu movddup movshdup movsldup clgi stgi vmcall vmclear vmfunc vmlaunch vmload vmmcall vmptrld vmptrst vmread vmresume vmrun vmsave vmwrite vmxoff vmxon invept invvpid pabsb pabsw pabsd \
+palignr phaddw phaddd phaddsw phsubw phsubd phsubsw pmaddubsw pmulhrsw pshufb psignb psignw psignd extrq insertq movntsd movntss lzcnt blendpd blendps blendvpd blendvps dppd dpps extractps insertps movntdqa mpsadbw packusdw pblendvb pblendw pcmpeqq pextrb pextrd pextrq phminposuw pinsrb pinsrd pinsrq pmaxsb pmaxsd pmaxud pmaxuw pminsb pminsd pminud pminuw pmovsxbw pmovsxbd pmovsxbq pmovsxwd pmovsxwq pmovsxdq pmovzxbw pmovzxbd pmovzxbq pmovzxwd pmovzxwq pmovzxdq pmuldq pmulld ptest roundpd roundp\
+s roundsd roundss crc32 pcmpestri pcmpestrm pcmpistri pcmpistrm pcmpgtq popcnt getsec pfrcpv pfrsqrtv movbe aesenc aesenclast aesdec aesdeclast aesimc aeskeygenassist vaesenc vaesenclast vaesdec vaesdeclast vaesimc vaeskeygenassist vaddpd vaddps vaddsd vaddss vaddsubpd vaddsubps vandpd vandps vandnpd vandnps vblendpd vblendps vblendvpd vblendvps vbroadcastss vbroadcastsd vbroadcastf128 vcmpeq_ospd vcmpeqpd vcmplt_ospd vcmpltpd vcmple_ospd vcmplepd vcmpunord_qpd vcmpunordpd vcmpneq_uqpd vcmpneqpd\
+ vcmpnlt_uspd vcmpnltpd vcmpnle_uspd vcmpnlepd vcmpord_qpd vcmpordpd vcmpeq_uqpd vcmpnge_uspd vcmpngepd vcmpngt_uspd vcmpngtpd vcmpfalse_oqpd vcmpfalsepd vcmpneq_oqpd vcmpge_ospd vcmpgepd vcmpgt_ospd vcmpgtpd vcmptrue_uqpd vcmptruepd vcmplt_oqpd vcmple_oqpd vcmpunord_spd vcmpneq_uspd vcmpnlt_uqpd vcmpnle_uqpd vcmpord_spd vcmpeq_uspd vcmpnge_uqpd vcmpngt_uqpd vcmpfalse_ospd vcmpneq_ospd vcmpge_oqpd vcmpgt_oqpd vcmptrue_uspd vcmppd vcmpeq_osps vcmpeqps vcmplt_osps vcmpltps vcmple_osps vcmpleps vcm\
+punord_qps vcmpunordps vcmpneq_uqps vcmpneqps vcmpnlt_usps vcmpnltps vcmpnle_usps vcmpnleps vcmpord_qps vcmpordps vcmpeq_uqps vcmpnge_usps vcmpngeps vcmpngt_usps vcmpngtps vcmpfalse_oqps vcmpfalseps vcmpneq_oqps vcmpge_osps vcmpgeps vcmpgt_osps vcmpgtps vcmptrue_uqps vcmptrueps vcmplt_oqps vcmple_oqps vcmpunord_sps vcmpneq_usps vcmpnlt_uqps vcmpnle_uqps vcmpord_sps vcmpeq_usps vcmpnge_uqps vcmpngt_uqps vcmpfalse_osps vcmpneq_osps vcmpge_oqps vcmpgt_oqps vcmptrue_usps vcmpps vcmpeq_ossd vcmpeqsd \
+vcmplt_ossd vcmpltsd vcmple_ossd vcmplesd vcmpunord_qsd vcmpunordsd vcmpneq_uqsd vcmpneqsd vcmpnlt_ussd vcmpnltsd vcmpnle_ussd vcmpnlesd vcmpord_qsd vcmpordsd vcmpeq_uqsd vcmpnge_ussd vcmpngesd vcmpngt_ussd vcmpngtsd vcmpfalse_oqsd vcmpfalsesd vcmpneq_oqsd vcmpge_ossd vcmpgesd vcmpgt_ossd vcmpgtsd vcmptrue_uqsd vcmptruesd vcmplt_oqsd vcmple_oqsd vcmpunord_ssd vcmpneq_ussd vcmpnlt_uqsd vcmpnle_uqsd vcmpord_ssd vcmpeq_ussd vcmpnge_uqsd vcmpngt_uqsd vcmpfalse_ossd vcmpneq_ossd vcmpge_oqsd vcmpgt_oq\
+sd vcmptrue_ussd vcmpsd vcmpeq_osss vcmpeqss vcmplt_osss vcmpltss vcmple_osss vcmpless vcmpunord_qss vcmpunordss vcmpneq_uqss vcmpneqss vcmpnlt_usss vcmpnltss vcmpnle_usss vcmpnless vcmpord_qss vcmpordss vcmpeq_uqss vcmpnge_usss vcmpngess vcmpngt_usss vcmpngtss vcmpfalse_oqss vcmpfalsess vcmpneq_oqss vcmpge_osss vcmpgess vcmpgt_osss vcmpgtss vcmptrue_uqss vcmptruess vcmplt_oqss vcmple_oqss vcmpunord_sss vcmpneq_usss vcmpnlt_uqss vcmpnle_uqss vcmpord_sss vcmpeq_usss vcmpnge_uqss vcmpngt_uqss vcmp\
+false_osss vcmpneq_osss vcmpge_oqss vcmpgt_oqss vcmptrue_usss vcmpss vcomisd vcomiss vcvtdq2pd vcvtdq2ps vcvtpd2dq vcvtpd2ps vcvtps2dq vcvtps2pd vcvtsd2si vcvtsd2ss vcvtsi2sd vcvtsi2ss vcvtss2sd vcvtss2si vcvttpd2dq vcvttps2dq vcvttsd2si vcvttss2si vdivpd vdivps vdivsd vdivss vdppd vdpps vextractf128 vextractps vhaddpd vhaddps vhsubpd vhsubps vinsertf128 vinsertps vlddqu vldqqu vldmxcsr vmaskmovdqu vmaskmovps vmaskmovpd vmaxpd vmaxps vmaxsd vmaxss vminpd vminps vminsd vminss vmovapd vmovaps vmov\
+d vmovq vmovddup vmovdqa vmovqqa vmovdqu vmovqqu vmovhlps vmovhpd vmovhps vmovlhps vmovlpd vmovlps vmovmskpd vmovmskps vmovntdq vmovntqq vmovntdqa vmovntpd vmovntps vmovsd vmovshdup vmovsldup vmovss vmovupd vmovups vmpsadbw vmulpd vmulps vmulsd vmulss vorpd vorps vpabsb vpabsw vpabsd vpacksswb vpackssdw vpackuswb vpackusdw vpaddb vpaddw vpaddd vpaddq vpaddsb vpaddsw vpaddusb vpaddusw vpalignr vpand vpandn vpavgb vpavgw vpblendvb vpblendw vpcmpestri vpcmpestrm vpcmpistri vpcmpistrm vpcmpeqb vpcmp\
+eqw vpcmpeqd vpcmpeqq vpcmpgtb vpcmpgtw vpcmpgtd vpcmpgtq vpermilpd vpermilps vperm2f128 vpextrb vpextrw vpextrd vpextrq vphaddw vphaddd vphaddsw vphminposuw vphsubw vphsubd vphsubsw vpinsrb vpinsrw vpinsrd vpinsrq vpmaddwd vpmaddubsw vpmaxsb vpmaxsw vpmaxsd vpmaxub vpmaxuw vpmaxud vpminsb vpminsw vpminsd vpminub vpminuw vpminud vpmovmskb vpmovsxbw vpmovsxbd vpmovsxbq vpmovsxwd vpmovsxwq vpmovsxdq vpmovzxbw vpmovzxbd vpmovzxbq vpmovzxwd vpmovzxwq vpmovzxdq vpmulhuw vpmulhrsw vpmulhw vpmullw vpmu\
+lld vpmuludq vpmuldq vpor vpsadbw vpshufb vpshufd vpshufhw vpshuflw vpsignb vpsignw vpsignd vpslldq vpsrldq vpsllw vpslld vpsllq vpsraw vpsrad vpsrlw vpsrld vpsrlq vptest vpsubb vpsubw vpsubd vpsubq vpsubsb vpsubsw vpsubusb vpsubusw vpunpckhbw vpunpckhwd vpunpckhdq vpunpckhqdq vpunpcklbw vpunpcklwd vpunpckldq vpunpcklqdq vpxor vrcpps vrcpss vrsqrtps vrsqrtss vroundpd vroundps vroundsd vroundss vshufpd vshufps vsqrtpd vsqrtps vsqrtsd vsqrtss vstmxcsr vsubpd vsubps vsubsd vsubss vtestps vtestpd vu\
+comisd vucomiss vunpckhpd vunpckhps vunpcklpd vunpcklps vxorpd vxorps vzeroall vzeroupper pclmullqlqdq pclmulhqlqdq pclmullqhqdq pclmulhqhqdq pclmulqdq vpclmullqlqdq vpclmulhqlqdq vpclmullqhqdq vpclmulhqhqdq vpclmulqdq vfmadd132ps vfmadd132pd vfmadd312ps vfmadd312pd vfmadd213ps vfmadd213pd vfmadd123ps vfmadd123pd vfmadd231ps vfmadd231pd vfmadd321ps vfmadd321pd vfmaddsub132ps vfmaddsub132pd vfmaddsub312ps vfmaddsub312pd vfmaddsub213ps vfmaddsub213pd vfmaddsub123ps vfmaddsub123pd vfmaddsub231ps vf\
+maddsub231pd vfmaddsub321ps vfmaddsub321pd vfmsub132ps vfmsub132pd vfmsub312ps vfmsub312pd vfmsub213ps vfmsub213pd vfmsub123ps vfmsub123pd vfmsub231ps vfmsub231pd vfmsub321ps vfmsub321pd vfmsubadd132ps vfmsubadd132pd vfmsubadd312ps vfmsubadd312pd vfmsubadd213ps vfmsubadd213pd vfmsubadd123ps vfmsubadd123pd vfmsubadd231ps vfmsubadd231pd vfmsubadd321ps vfmsubadd321pd vfnmadd132ps vfnmadd132pd vfnmadd312ps vfnmadd312pd vfnmadd213ps vfnmadd213pd vfnmadd123ps vfnmadd123pd vfnmadd231ps vfnmadd231pd vfn\
+madd321ps vfnmadd321pd vfnmsub132ps vfnmsub132pd vfnmsub312ps vfnmsub312pd vfnmsub213ps vfnmsub213pd vfnmsub123ps vfnmsub123pd vfnmsub231ps vfnmsub231pd vfnmsub321ps vfnmsub321pd vfmadd132ss vfmadd132sd vfmadd312ss vfmadd312sd vfmadd213ss vfmadd213sd vfmadd123ss vfmadd123sd vfmadd231ss vfmadd231sd vfmadd321ss vfmadd321sd vfmsub132ss vfmsub132sd vfmsub312ss vfmsub312sd vfmsub213ss vfmsub213sd vfmsub123ss vfmsub123sd vfmsub231ss vfmsub231sd vfmsub321ss vfmsub321sd vfnmadd132ss vfnmadd132sd vfnmadd\
+312ss vfnmadd312sd vfnmadd213ss vfnmadd213sd vfnmadd123ss vfnmadd123sd vfnmadd231ss vfnmadd231sd vfnmadd321ss vfnmadd321sd vfnmsub132ss vfnmsub132sd vfnmsub312ss vfnmsub312sd vfnmsub213ss vfnmsub213sd vfnmsub123ss vfnmsub123sd vfnmsub231ss vfnmsub231sd vfnmsub321ss vfnmsub321sd rdfsbase rdgsbase rdrand wrfsbase wrgsbase vcvtph2ps vcvtps2ph adcx adox rdseed clac stac xstore xcryptecb xcryptcbc xcryptctr xcryptcfb xcryptofb montmul xsha1 xsha256 llwpcb slwpcb lwpval lwpins vfmaddpd vfmaddps vfmadd\
+sd vfmaddss vfmaddsubpd vfmaddsubps vfmsubaddpd vfmsubaddps vfmsubpd vfmsubps vfmsubsd vfmsubss vfnmaddpd vfnmaddps vfnmaddsd vfnmaddss vfnmsubpd vfnmsubps vfnmsubsd vfnmsubss vfrczpd vfrczps vfrczsd vfrczss vpcmov vpcomb vpcomd vpcomq vpcomub vpcomud vpcomuq vpcomuw vpcomw vphaddbd vphaddbq vphaddbw vphadddq vphaddubd vphaddubq vphaddubw vphaddudq vphadduwd vphadduwq vphaddwd vphaddwq vphsubbw vphsubdq vphsubwd vpmacsdd vpmacsdqh vpmacsdql vpmacssdd vpmacssdqh vpmacssdql vpmacsswd vpmacssww vpm\
+acswd vpmacsww vpmadcsswd vpmadcswd vpperm vprotb vprotd vprotq vprotw vpshab vpshad vpshaq vpshaw vpshlb vpshld vpshlq vpshlw vbroadcasti128 vpblendd vpbroadcastb vpbroadcastw vpbroadcastd vpbroadcastq vpermd vpermpd vpermps vpermq vperm2i128 vextracti128 vinserti128 vpmaskmovd vpmaskmovq vpsllvd vpsllvq vpsravd vpsrlvd vpsrlvq vgatherdpd vgatherqpd vgatherdps vgatherqps vpgatherdd vpgatherqd vpgatherdq vpgatherqq xabort xbegin xend xtest andn bextr blci blcic blsi blsic blcfill blsfill blcmsk \
+blsmsk blsr blcs bzhi mulx pdep pext rorx sarx shlx shrx tzcnt tzmsk t1mskc valignd valignq vblendmpd vblendmps vbroadcastf32x4 vbroadcastf64x4 vbroadcasti32x4 vbroadcasti64x4 vcompresspd vcompressps vcvtpd2udq vcvtps2udq vcvtsd2usi vcvtss2usi vcvttpd2udq vcvttps2udq vcvttsd2usi vcvttss2usi vcvtudq2pd vcvtudq2ps vcvtusi2sd vcvtusi2ss vexpandpd vexpandps vextractf32x4 vextractf64x4 vextracti32x4 vextracti64x4 vfixupimmpd vfixupimmps vfixupimmsd vfixupimmss vgetexppd vgetexpps vgetexpsd vgetexpss \
+vgetmantpd vgetmantps vgetmantsd vgetmantss vinsertf32x4 vinsertf64x4 vinserti32x4 vinserti64x4 vmovdqa32 vmovdqa64 vmovdqu32 vmovdqu64 vpabsq vpandd vpandnd vpandnq vpandq vpblendmd vpblendmq vpcmpltd vpcmpled vpcmpneqd vpcmpnltd vpcmpnled vpcmpd vpcmpltq vpcmpleq vpcmpneqq vpcmpnltq vpcmpnleq vpcmpq vpcmpequd vpcmpltud vpcmpleud vpcmpnequd vpcmpnltud vpcmpnleud vpcmpud vpcmpequq vpcmpltuq vpcmpleuq vpcmpnequq vpcmpnltuq vpcmpnleuq vpcmpuq vpcompressd vpcompressq vpermi2d vpermi2pd vpermi2ps vp\
+ermi2q vpermt2d vpermt2pd vpermt2ps vpermt2q vpexpandd vpexpandq vpmaxsq vpmaxuq vpminsq vpminuq vpmovdb vpmovdw vpmovqb vpmovqd vpmovqw vpmovsdb vpmovsdw vpmovsqb vpmovsqd vpmovsqw vpmovusdb vpmovusdw vpmovusqb vpmovusqd vpmovusqw vpord vporq vprold vprolq vprolvd vprolvq vprord vprorq vprorvd vprorvq vpscatterdd vpscatterdq vpscatterqd vpscatterqq vpsraq vpsravq vpternlogd vpternlogq vptestmd vptestmq vptestnmd vptestnmq vpxord vpxorq vrcp14pd vrcp14ps vrcp14sd vrcp14ss vrndscalepd vrndscaleps\
+ vrndscalesd vrndscaless vrsqrt14pd vrsqrt14ps vrsqrt14sd vrsqrt14ss vscalefpd vscalefps vscalefsd vscalefss vscatterdpd vscatterdps vscatterqpd vscatterqps vshuff32x4 vshuff64x2 vshufi32x4 vshufi64x2 kandnw kandw kmovw knotw kortestw korw kshiftlw kshiftrw kunpckbw kxnorw kxorw vpbroadcastmb2q vpbroadcastmw2d vpconflictd vpconflictq vplzcntd vplzcntq vexp2pd vexp2ps vrcp28pd vrcp28ps vrcp28sd vrcp28ss vrsqrt28pd vrsqrt28ps vrsqrt28sd vrsqrt28ss vgatherpf0dpd vgatherpf0dps vgatherpf0qpd vgatherp\
+f0qps vgatherpf1dpd vgatherpf1dps vgatherpf1qpd vgatherpf1qps vscatterpf0dpd vscatterpf0dps vscatterpf0qpd vscatterpf0qps vscatterpf1dpd vscatterpf1dps vscatterpf1qpd vscatterpf1qps prefetchwt1 bndmk bndcl bndcu bndcn bndmov bndldx bndstx sha1rnds4 sha1nexte sha1msg1 sha1msg2 sha256rnds2 sha256msg1 sha256msg2 hint_nop0 hint_nop1 hint_nop2 hint_nop3 hint_nop4 hint_nop5 hint_nop6 hint_nop7 hint_nop8 hint_nop9 hint_nop10 hint_nop11 hint_nop12 hint_nop13 hint_nop14 hint_nop15 hint_nop16 hint_nop17 h\
+int_nop18 hint_nop19 hint_nop20 hint_nop21 hint_nop22 hint_nop23 hint_nop24 hint_nop25 hint_nop26 hint_nop27 hint_nop28 hint_nop29 hint_nop30 hint_nop31 hint_nop32 hint_nop33 hint_nop34 hint_nop35 hint_nop36 hint_nop37 hint_nop38 hint_nop39 hint_nop40 hint_nop41 hint_nop42 hint_nop43 hint_nop44 hint_nop45 hint_nop46 hint_nop47 hint_nop48 hint_nop49 hint_nop50 hint_nop51 hint_nop52 hint_nop53 hint_nop54 hint_nop55 hint_nop56 hint_nop57 hint_nop58 hint_nop59 hint_nop60 hint_nop61 hint_nop62 hint_n\
+op63",built_in:"ip eip rip al ah bl bh cl ch dl dh sil dil bpl spl r8b r9b r10b r11b r12b r13b r14b r15b ax bx cx dx si di bp sp r8w r9w r10w r11w r12w r13w r14w r15w eax ebx ecx edx esi edi ebp esp eip r8d r9d r10d r11d r12d r13d r14d r15d rax rbx rcx rdx rsi rdi rbp rsp r8 r9 r10 r11 r12 r13 r14 r15 cs ds es fs gs ss st st0 st1 st2 st3 st4 st5 st6 st7 mm0 mm1 mm2 mm3 mm4 mm5 mm6 mm7 xmm0  xmm1  xmm2  xmm3  xmm4  xmm5  xmm6  xmm7  xmm8  xmm9 xmm10  xmm11 xmm12 xmm13 xmm14 xmm15 xmm16 xmm17 xmm1\
+8 xmm19 xmm20 xmm21 xmm22 xmm23 xmm24 xmm25 xmm26 xmm27 xmm28 xmm29 xmm30 xmm31 ymm0  ymm1  ymm2  ymm3  ymm4  ymm5  ymm6  ymm7  ymm8  ymm9 ymm10  ymm11 ymm12 ymm13 ymm14 ymm15 ymm16 ymm17 ymm18 ymm19 ymm20 ymm21 ymm22 ymm23 ymm24 ymm25 ymm26 ymm27 ymm28 ymm29 ymm30 ymm31 zmm0  zmm1  zmm2  zmm3  zmm4  zmm5  zmm6  zmm7  zmm8  zmm9 zmm10  zmm11 zmm12 zmm13 zmm14 zmm15 zmm16 zmm17 zmm18 zmm19 zmm20 zmm21 zmm22 zmm23 zmm24 zmm25 zmm26 zmm27 zmm28 zmm29 zmm30 zmm31 k0 k1 k2 k3 k4 k5 k6 k7 bnd0 bnd1 bn\
+d2 bnd3 cr0 cr1 cr2 cr3 cr4 cr8 dr0 dr1 dr2 dr3 dr8 tr3 tr4 tr5 tr6 tr7 r0 r1 r2 r3 r4 r5 r6 r7 r0b r1b r2b r3b r4b r5b r6b r7b r0w r1w r2w r3w r4w r5w r6w r7w r0d r1d r2d r3d r4d r5d r6d r7d r0h r1h r2h r3h r0l r1l r2l r3l r4l r5l r6l r7l r8l r9l r10l r11l r12l r13l r14l r15l db dw dd dq dt ddq do dy dz resb resw resd resq rest resdq reso resy resz incbin equ times byte word dword qword nosplit rel abs seg wrt strict near far a32 ptr",meta:"%define %xdefine %+ %undef %defstr %deftok %assign %st\
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+const proxiedHeaders={};for(const[key2,value]of Object.entries(headers))proxiedHeaders[`x-proxy-header-${key2}`]=value;return proxiedHeaders}function isIpAddress(hostname){return!!(hostname.includes(":")||/^\d{1,3}(\.\d{1,3}){3}$/.test(hostname))}function extractRootDomain(url2){const hostname=url2.hostname.toLowerCase();if(!hostname||isIpAddress(hostname))return null;const parts=hostname.split(".");if(parts.length<2)return null;if(parts.length>=3){const suffix2=`${parts[parts.length-2]}.${parts[parts.
+length-1]}`;if(TWO_PART_PUBLIC_SUFFIXES.has(suffix2))return parts.slice(-3).join(".")}for(let i=2;i<=parts.length;i++){const candidate=parts.slice(-i).join(".");if(WILDCARD_PUBLIC_SUFFIXES.has(candidate))return parts.length===i+1?hostname:parts.slice(-(i+2)).join(".")}return parts.slice(-2).join(".")}function sanitizeExternalUrl(raw2){try{const url2=new URL(raw2);return url2.protocol!==UrlProtocol.HTTP&&url2.protocol!==UrlProtocol.HTTPS?null:url2.href}catch{return null}}function createMessageCountMap(exportedData){
+const countMap=new Map;for(const item of exportedData)countMap.set(item.conv.id,item.messages.length);return countMap}const bars=Array(12).fill(0);var root_1$16=from_html('<div class="sonner-loading-bar"></div>'),root$1R=from_html('<div><div class="sonner-spinner"></div></div>');function Loader($$anchor,$$props){push$1($$props,!0);var div=root$1R(),div_1=child(div);each(div_1,23,()=>bars,(_,i)=>`spinner-bar-${i}`,($$anchor2,_)=>{var div_2=root_1$16();append($$anchor2,div_2)}),reset(div_1),reset(
+div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",$$props.visible)},[()=>clsx(["sonner-loading-wrapper",$$props.class].filter(Boolean).join(" "))]),append($$anchor,div),pop()}function cn(...classes){return classes.filter(Boolean).join(" ")}const isBrowser$1=typeof document<"u",defaultWindow$2=typeof window<"u"?window:void 0;function getActiveElement$2(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.
+activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}let ActiveElement$2=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$2,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),
+this.#document?getActiveElement$2(this.#document):null}};new ActiveElement$2;class Context2{#name;#key;constructor(name){this.#name=name,this.#key=Symbol(name)}get key(){return this.#key}exists(){return hasContext(this.#key)}get(){const context=getContext(this.#key);if(context===void 0)throw new Error(`Context "${this.#name}" not found`);return context}getOr(fallback2){const context=getContext(this.#key);return context===void 0?fallback2:context}set(context){return setContext(this.#key,context)}}
+const sonnerContext=new Context2("<Toaster/>");let toastsCounter=0;class ToastState{#toasts=state$1(proxy([]));get toasts(){return get$3(this.#toasts)}set toasts(value){set$1(this.#toasts,value,!0)}#heights=state$1(proxy([]));get heights(){return get$3(this.#heights)}set heights(value){set$1(this.#heights,value,!0)}#findToastIdx=id2=>{const idx=this.toasts.findIndex(toast2=>toast2.id===id2);return idx===-1?null:idx};addToast=data=>{isBrowser$1&&this.toasts.unshift(data)};updateToast=({id:id2,data,
+type:type2,message})=>{const toastIdx=this.toasts.findIndex(toast2=>toast2.id===id2),toastToUpdate=this.toasts[toastIdx];this.toasts[toastIdx]={...toastToUpdate,...data,id:id2,title:message,type:type2,updated:!0}};create=data=>{const{message,...rest}=data,id2=typeof data?.id=="number"||data.id&&data.id?.length>0?data.id:toastsCounter++,dismissable=data.dismissable===void 0?!0:data.dismissable,type2=data.type===void 0?"default":data.type;return untrack$1(()=>{this.toasts.find(toast2=>toast2.id===
+id2)?this.updateToast({id:id2,data,type:type2,message,dismissable}):this.addToast({...rest,id:id2,title:message,dismissable,type:type2})}),id2};dismiss=id2=>(untrack$1(()=>{if(id2===void 0){this.toasts=this.toasts.map(toast2=>({...toast2,dismiss:!0}));return}const toastIdx=this.toasts.findIndex(toast2=>toast2.id===id2);this.toasts[toastIdx]&&(this.toasts[toastIdx]={...this.toasts[toastIdx],dismiss:!0})}),id2);remove=id2=>{if(id2===void 0){this.toasts=[];return}const toastIdx=this.#findToastIdx(id2);
+if(toastIdx!==null)return this.toasts.splice(toastIdx,1),id2};message=(message,data)=>this.create({...data,type:"default",message});error=(message,data)=>this.create({...data,type:"error",message});success=(message,data)=>this.create({...data,type:"success",message});info=(message,data)=>this.create({...data,type:"info",message});warning=(message,data)=>this.create({...data,type:"warning",message});loading=(message,data)=>this.create({...data,type:"loading",message});promise=(promise,data)=>{if(!data)
+return;let id2;data.loading!==void 0&&(id2=this.create({...data,promise,type:"loading",message:typeof data.loading=="string"?data.loading:data.loading()}));const p2=promise instanceof Promise?promise:promise();let shouldDismiss=id2!==void 0;return p2.then(response=>{if(typeof response=="object"&&response&&"ok"in response&&typeof response.ok=="boolean"&&!response.ok){shouldDismiss=!1;const message=constructPromiseErrorMessage(response);this.create({id:id2,type:"error",message})}else if(data.success!==
+void 0){shouldDismiss=!1;const message=typeof data.success=="function"?data.success(response):data.success;this.create({id:id2,type:"success",message})}}).catch(error2=>{if(data.error!==void 0){shouldDismiss=!1;const message=typeof data.error=="function"?data.error(error2):data.error;this.create({id:id2,type:"error",message})}}).finally(()=>{shouldDismiss&&(this.dismiss(id2),id2=void 0),data.finally?.()}),id2};custom=(component2,data)=>{const id2=data?.id||toastsCounter++;return this.create({component:component2,
+id:id2,...data}),id2};removeHeight=id2=>{this.heights=this.heights.filter(height=>height.toastId!==id2)};setHeight=data=>{const toastIdx=this.#findToastIdx(data.toastId);if(toastIdx===null){this.heights.push(data);return}this.heights[toastIdx]=data};reset=()=>{this.toasts=[],this.heights=[]}}function constructPromiseErrorMessage(response){return response&&typeof response=="object"&&"status"in response?`HTTP error! Status: ${response.status}`:`Error! ${response}`}const toastState=new ToastState;function toastFunction(message,data){
+return toastState.create({message,...data})}class SonnerState{#activeToasts=user_derived(()=>toastState.toasts.filter(toast2=>!toast2.dismiss));get toasts(){return get$3(this.#activeToasts)}}const basicToast=toastFunction,toast=Object.assign(basicToast,{success:toastState.success,info:toastState.info,warning:toastState.warning,error:toastState.error,custom:toastState.custom,message:toastState.message,promise:toastState.promise,dismiss:toastState.dismiss,loading:toastState.loading,getActiveToasts:()=>toastState.
+toasts.filter(toast2=>!toast2.dismiss)});function isAction(action2){return action2.label!==void 0}function useDocumentHidden(){let current2=state$1(proxy(typeof document<"u"?document.hidden:!1));return user_effect(()=>on(document,"visibilitychange",()=>{set$1(current2,document.hidden,!0)})),{get current(){return get$3(current2)}}}const TOAST_LIFETIME$1=4e3,GAP$1=14,SWIPE_THRESHOLD=45,TIME_BEFORE_UNMOUNT=200,SCALE_MULTIPLIER=.05,DEFAULT_TOAST_CLASSES={toast:"",title:"",description:"",loader:"",closeButton:"",
+cancelButton:"",actionButton:"",action:"",warning:"",error:"",success:"",default:"",info:"",loading:""};function getDefaultSwipeDirections(position2){const[y,x]=position2.split("-"),directions=[];return y&&directions.push(y),x&&directions.push(x),directions}function getDampening(delta){return 1/(1.5+Math.abs(delta)/20)}var root_2$1d=from_html("<div><!></div>"),root_4$F=from_html('<button data-close-button=""><!></button>'),root_7$v=from_html('<div data-icon=""><!> <!></div>'),root_20$5=from_html(
+'<div data-description=""><!></div>'),root_25$4=from_html('<button data-button="" data-cancel=""> </button>'),root_28$1=from_html('<button data-button=""> </button>'),root_6$x=from_html('<!> <div data-content=""><div data-title=""><!></div> <!></div> <!> <!>',1),root$1Q=from_html('<li data-sonner-toast=""><!> <!></li>');function Toast($$anchor,$$props){push$1($$props,!0);const LoadingIcon=$$anchor2=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$1d(),
+node_1=child(div);snippet(node_1,()=>$$props.loadingIcon),reset(div),template_effect($0=>{set_class(div,1,$0),set_attribute(div,"data-visible",get$3(toastType)==="loading")},[()=>clsx(cn(get$3(classes)?.loader,$$props.toast?.classes?.loader,"sonner-loader"))]),append($$anchor3,div)},alternate=$$anchor3=>{{let $0=user_derived(()=>cn(get$3(classes)?.loader,$$props.toast.classes?.loader)),$1=user_derived(()=>get$3(toastType)==="loading");Loader($$anchor3,{get class(){return get$3($0)},get visible(){
+return get$3($1)}})}};if_block(node2,$$render=>{$$props.loadingIcon?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)};let cancelButtonStyle=prop($$props,"cancelButtonStyle",3,""),actionButtonStyle=prop($$props,"actionButtonStyle",3,""),descriptionClass=prop($$props,"descriptionClass",3,""),unstyled=prop($$props,"unstyled",3,!1),defaultRichColors=prop($$props,"defaultRichColors",3,!1);const defaultClasses={...DEFAULT_TOAST_CLASSES};let mounted=state$1(!1),removed=state$1(!1),
+swiping=state$1(!1),swipeOut=state$1(!1),isSwiped=state$1(!1),offsetBeforeRemove=state$1(0),initialHeight=state$1(0),remainingTime=$$props.toast.duration||$$props.duration||TOAST_LIFETIME$1,toastRef=state$1(void 0),swipeDirection=state$1(null),swipeOutDirection=state$1(null);const isFront=user_derived(()=>$$props.index===0),isVisible=user_derived(()=>$$props.index+1<=$$props.visibleToasts),toastType=user_derived(()=>$$props.toast.type),dismissable=user_derived(()=>$$props.toast.dismissable!==!1),
+toastClass=user_derived(()=>$$props.toast.class||""),toastDescriptionClass=user_derived(()=>$$props.toast.descriptionClass||""),heightIndex=user_derived(()=>toastState.heights.findIndex(height=>height.toastId===$$props.toast.id)||0),closeButton=user_derived(()=>$$props.toast.closeButton??$$props.closeButton),duration2=user_derived(()=>$$props.toast.duration??$$props.duration??TOAST_LIFETIME$1);let pointerStart=null;const coords=user_derived(()=>$$props.position.split("-")),toastsHeightBefore=user_derived(
+()=>toastState.heights.reduce((prev2,curr,reducerIndex)=>reducerIndex>=get$3(heightIndex)?prev2:prev2+curr.height,0)),isDocumentHidden=useDocumentHidden(),invert=user_derived(()=>$$props.toast.invert||$$props.invert),disabled=user_derived(()=>get$3(toastType)==="loading"),classes=user_derived(()=>({...defaultClasses,...$$props.classes})),toastTitle=user_derived(()=>$$props.toast.title),toastDescription=user_derived(()=>$$props.toast.description);let closeTimerStartTime=state$1(0),lastCloseTimerStartTime=state$1(
+0);const offset2=user_derived(()=>Math.round(get$3(heightIndex)*GAP$1+get$3(toastsHeightBefore)));user_effect(()=>{get$3(toastTitle),get$3(toastDescription);let scale2;$$props.expanded||$$props.expandByDefault?scale2=1:scale2=1-$$props.index*SCALE_MULTIPLIER;const toastEl=untrack$1(()=>get$3(toastRef));if(toastEl===void 0)return;toastEl.style.setProperty("height","auto");const offsetHeight=toastEl.offsetHeight,rectHeight=toastEl.getBoundingClientRect().height,scaledRectHeight=Math.round(rectHeight/
+scale2+Number.EPSILON&100)/100;toastEl.style.removeProperty("height");let finalHeight;Math.abs(scaledRectHeight-offsetHeight)<1?finalHeight=scaledRectHeight:finalHeight=offsetHeight,set$1(initialHeight,finalHeight,!0),untrack$1(()=>{toastState.setHeight({toastId:$$props.toast.id,height:finalHeight})})});function deleteToast(){set$1(removed,!0),set$1(offsetBeforeRemove,get$3(offset2),!0),toastState.removeHeight($$props.toast.id),setTimeout(()=>{toastState.remove($$props.toast.id)},TIME_BEFORE_UNMOUNT)}
+let timeoutId;const isPromiseLoadingOrInfiniteDuration=user_derived(()=>$$props.toast.promise&&get$3(toastType)==="loading"||$$props.toast.duration===Number.POSITIVE_INFINITY);function startTimer(){set$1(closeTimerStartTime,new Date().getTime(),!0),timeoutId=setTimeout(()=>{$$props.toast.onAutoClose?.($$props.toast),deleteToast()},remainingTime)}function pauseTimer(){if(get$3(lastCloseTimerStartTime)<get$3(closeTimerStartTime)){const elapsedTime=new Date().getTime()-get$3(closeTimerStartTime);remainingTime=
+remainingTime-elapsedTime}set$1(lastCloseTimerStartTime,new Date().getTime(),!0)}user_effect(()=>{$$props.toast.updated&&(clearTimeout(timeoutId),remainingTime=get$3(duration2),startTimer())}),user_effect(()=>(get$3(isPromiseLoadingOrInfiniteDuration)||($$props.expanded||$$props.interacting||isDocumentHidden.current?pauseTimer():startTimer()),()=>clearTimeout(timeoutId))),onMount$1(()=>{set$1(mounted,!0);const height=get$3(toastRef)?.getBoundingClientRect().height;return set$1(initialHeight,height,
+!0),toastState.setHeight({toastId:$$props.toast.id,height}),()=>{toastState.removeHeight($$props.toast.id)}}),user_effect(()=>{$$props.toast.delete&&untrack$1(()=>{deleteToast(),$$props.toast.onDismiss?.($$props.toast)})});const handlePointerDown=event2=>{if(get$3(disabled))return;set$1(offsetBeforeRemove,get$3(offset2),!0);const target2=event2.target;target2.setPointerCapture(event2.pointerId),target2.tagName!=="BUTTON"&&(set$1(swiping,!0),pointerStart={x:event2.clientX,y:event2.clientY})},handlePointerUp=()=>{
+if(get$3(swipeOut)||!get$3(dismissable))return;pointerStart=null;const swipeAmountX=Number(get$3(toastRef)?.style.getPropertyValue("--swipe-amount-x").replace("px","")||0),swipeAmountY=Number(get$3(toastRef)?.style.getPropertyValue("--swipe-amount-y").replace("px","")||0),timeTaken=new Date().getTime()-0,swipeAmount=get$3(swipeDirection)==="x"?swipeAmountX:swipeAmountY,velocity=Math.abs(swipeAmount)/timeTaken;if(Math.abs(swipeAmount)>=SWIPE_THRESHOLD||velocity>.11){set$1(offsetBeforeRemove,get$3(
+offset2),!0),$$props.toast.onDismiss?.($$props.toast),get$3(swipeDirection)==="x"?set$1(swipeOutDirection,swipeAmountX>0?"right":"left",!0):set$1(swipeOutDirection,swipeAmountY>0?"down":"up",!0),deleteToast(),set$1(swipeOut,!0);return}else get$3(toastRef)?.style.setProperty("--swipe-amount-x","0px"),get$3(toastRef)?.style.setProperty("--swipe-amount-y","0px");set$1(isSwiped,!1),set$1(swiping,!1),set$1(swipeDirection,null)},handlePointerMove=event2=>{if(!pointerStart||!get$3(dismissable)||(window.
+getSelection()?.toString().length??-1)>0)return;const yDelta=event2.clientY-pointerStart.y,xDelta=event2.clientX-pointerStart.x,swipeDirections=$$props.swipeDirections??getDefaultSwipeDirections($$props.position);!get$3(swipeDirection)&&(Math.abs(xDelta)>1||Math.abs(yDelta)>1)&&set$1(swipeDirection,Math.abs(xDelta)>Math.abs(yDelta)?"x":"y",!0);let swipeAmount={x:0,y:0};if(get$3(swipeDirection)==="y"){if(swipeDirections.includes("top")||swipeDirections.includes("bottom"))if(swipeDirections.includes(
+"top")&&yDelta<0||swipeDirections.includes("bottom")&&yDelta>0)swipeAmount.y=yDelta;else{const dampenedDelta=yDelta*getDampening(yDelta);swipeAmount.y=Math.abs(dampenedDelta)<Math.abs(yDelta)?dampenedDelta:yDelta}}else if(get$3(swipeDirection)==="x"&&(swipeDirections.includes("left")||swipeDirections.includes("right")))if(swipeDirections.includes("left")&&xDelta<0||swipeDirections.includes("right")&&xDelta>0)swipeAmount.x=xDelta;else{const dampenedDelta=xDelta*getDampening(xDelta);swipeAmount.x=
+Math.abs(dampenedDelta)<Math.abs(xDelta)?dampenedDelta:xDelta}(Math.abs(swipeAmount.x)>0||Math.abs(swipeAmount.y)>0)&&set$1(isSwiped,!0),get$3(toastRef)?.style.setProperty("--swipe-amount-x",`${swipeAmount.x}px`),get$3(toastRef)?.style.setProperty("--swipe-amount-y",`${swipeAmount.y}px`)},handleDragEnd=()=>{set$1(swiping,!1),set$1(swipeDirection,null),pointerStart=null},icon=user_derived(()=>$$props.toast.icon?$$props.toast.icon:get$3(toastType)==="success"?$$props.successIcon:get$3(toastType)===
+"error"?$$props.errorIcon:get$3(toastType)==="warning"?$$props.warningIcon:get$3(toastType)==="info"?$$props.infoIcon:get$3(toastType)==="loading"?$$props.loadingIcon:null);var li2=root$1Q();set_attribute(li2,"tabindex",0);let styles2;var node_2=child(li2);{var consequent_1=$$anchor2=>{var button=root_4$F(),node_3=child(button);snippet(node_3,()=>$$props.closeIcon??noop$3),reset(button),template_effect($0=>{set_attribute(button,"aria-label",$$props.closeButtonAriaLabel),set_attribute(button,"dat\
+a-disabled",get$3(disabled)),set_class(button,1,$0)},[()=>clsx(cn(get$3(classes)?.closeButton,$$props.toast?.classes?.closeButton))]),delegated("click",button,()=>{get$3(disabled)||!get$3(dismissable)||(deleteToast(),$$props.toast.onDismiss?.($$props.toast))}),append($$anchor2,button)};if_block(node_2,$$render=>{get$3(closeButton)&&!$$props.toast.component&&get$3(toastType)!=="loading"&&$$props.closeIcon!==null&&$$render(consequent_1)})}var node_4=sibling(node_2,2);{var consequent_2=$$anchor2=>{
+const Component=user_derived(()=>$$props.toast.component);var fragment_2=comment$2(),node_5=first_child(fragment_2);component(node_5,()=>get$3(Component),($$anchor3,Component_1)=>{Component_1($$anchor3,spread_props(()=>$$props.toast.componentProps,{closeToast:deleteToast}))}),append($$anchor2,fragment_2)},alternate_4=$$anchor2=>{var fragment_3=root_6$x(),node_6=first_child(fragment_3);{var consequent_11=$$anchor3=>{var div_1=root_7$v(),node_7=child(div_1);{var consequent_4=$$anchor4=>{var fragment_4=comment$2(),
+node_8=first_child(fragment_4);{var consequent_3=$$anchor5=>{var fragment_5=comment$2(),node_9=first_child(fragment_5);component(node_9,()=>$$props.toast.icon,($$anchor6,toast_icon)=>{toast_icon($$anchor6,{})}),append($$anchor5,fragment_5)},alternate_1=$$anchor5=>{LoadingIcon($$anchor5)};if_block(node_8,$$render=>{$$props.toast.icon?$$render(consequent_3):$$render(alternate_1,-1)})}append($$anchor4,fragment_4)};if_block(node_7,$$render=>{($$props.toast.promise||get$3(toastType)==="loading")&&$$render(
+consequent_4)})}var node_10=sibling(node_7,2);{var consequent_10=$$anchor4=>{var fragment_7=comment$2(),node_11=first_child(fragment_7);{var consequent_5=$$anchor5=>{var fragment_8=comment$2(),node_12=first_child(fragment_8);component(node_12,()=>$$props.toast.icon,($$anchor6,toast_icon_1)=>{toast_icon_1($$anchor6,{})}),append($$anchor5,fragment_8)},consequent_6=$$anchor5=>{var fragment_9=comment$2(),node_13=first_child(fragment_9);snippet(node_13,()=>$$props.successIcon??noop$3),append($$anchor5,
+fragment_9)},consequent_7=$$anchor5=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);snippet(node_14,()=>$$props.errorIcon??noop$3),append($$anchor5,fragment_10)},consequent_8=$$anchor5=>{var fragment_11=comment$2(),node_15=first_child(fragment_11);snippet(node_15,()=>$$props.warningIcon??noop$3),append($$anchor5,fragment_11)},consequent_9=$$anchor5=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);snippet(node_16,()=>$$props.infoIcon??noop$3),append($$anchor5,fragment_12)};
+if_block(node_11,$$render=>{$$props.toast.icon?$$render(consequent_5):get$3(toastType)==="success"?$$render(consequent_6,1):get$3(toastType)==="error"?$$render(consequent_7,2):get$3(toastType)==="warning"?$$render(consequent_8,3):get$3(toastType)==="info"&&$$render(consequent_9,4)})}append($$anchor4,fragment_7)};if_block(node_10,$$render=>{$$props.toast.type!=="loading"&&$$render(consequent_10)})}reset(div_1),template_effect($0=>set_class(div_1,1,$0),[()=>clsx(cn(get$3(classes)?.icon,$$props.toast?.
+classes?.icon))]),append($$anchor3,div_1)};if_block(node_6,$$render=>{(get$3(toastType)||$$props.toast.icon||$$props.toast.promise)&&$$props.toast.icon!==null&&(get$3(icon)!==null||$$props.toast.icon)&&$$render(consequent_11)})}var div_2=sibling(node_6,2),div_3=child(div_2),node_17=child(div_3);{var consequent_13=$$anchor3=>{var fragment_13=comment$2(),node_18=first_child(fragment_13);{var consequent_12=$$anchor4=>{const Title=user_derived(()=>$$props.toast.title);var fragment_14=comment$2(),node_19=first_child(
+fragment_14);component(node_19,()=>get$3(Title),($$anchor5,Title_1)=>{Title_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_14)},alternate_2=$$anchor4=>{var text2=text$8();template_effect(()=>set_text(text2,$$props.toast.title)),append($$anchor4,text2)};if_block(node_18,$$render=>{typeof $$props.toast.title!="string"?$$render(consequent_12):$$render(alternate_2,-1)})}append($$anchor3,fragment_13)};if_block(node_17,$$render=>{$$props.toast.title&&$$render(consequent_13)})}
+reset(div_3);var node_20=sibling(div_3,2);{var consequent_15=$$anchor3=>{var div_4=root_20$5(),node_21=child(div_4);{var consequent_14=$$anchor4=>{const Description=user_derived(()=>$$props.toast.description);var fragment_16=comment$2(),node_22=first_child(fragment_16);component(node_22,()=>get$3(Description),($$anchor5,Description_1)=>{Description_1($$anchor5,spread_props(()=>$$props.toast.componentProps))}),append($$anchor4,fragment_16)},alternate_3=$$anchor4=>{var text_1=text$8();template_effect(
+()=>set_text(text_1,$$props.toast.description)),append($$anchor4,text_1)};if_block(node_21,$$render=>{typeof $$props.toast.description!="string"?$$render(consequent_14):$$render(alternate_3,-1)})}reset(div_4),template_effect($0=>set_class(div_4,1,$0),[()=>clsx(cn(descriptionClass(),get$3(toastDescriptionClass),get$3(classes)?.description,$$props.toast.classes?.description))]),append($$anchor3,div_4)};if_block(node_20,$$render=>{$$props.toast.description&&$$render(consequent_15)})}reset(div_2);var node_23=sibling(
+div_2,2);{var consequent_18=$$anchor3=>{var fragment_18=comment$2(),node_24=first_child(fragment_18);{var consequent_16=$$anchor4=>{var fragment_19=comment$2(),node_25=first_child(fragment_19);component(node_25,()=>$$props.toast.cancel,($$anchor5,toast_cancel)=>{toast_cancel($$anchor5,{})}),append($$anchor4,fragment_19)},consequent_17=$$anchor4=>{var button_1=root_25$4(),text_2=child(button_1,!0);reset(button_1),template_effect($0=>{set_style(button_1,$$props.toast.cancelButtonStyle??cancelButtonStyle()),
+set_class(button_1,1,$0),set_text(text_2,$$props.toast.cancel.label)},[()=>clsx(cn(get$3(classes)?.cancelButton,$$props.toast?.classes?.cancelButton))]),delegated("click",button_1,event2=>{isAction($$props.toast.cancel)&&get$3(dismissable)&&($$props.toast.cancel?.onClick?.(event2),deleteToast())}),append($$anchor4,button_1)},d2=user_derived(()=>isAction($$props.toast.cancel));if_block(node_24,$$render=>{typeof $$props.toast.cancel=="function"?$$render(consequent_16):get$3(d2)&&$$render(consequent_17,
+1)})}append($$anchor3,fragment_18)};if_block(node_23,$$render=>{$$props.toast.cancel&&$$render(consequent_18)})}var node_26=sibling(node_23,2);{var consequent_21=$$anchor3=>{var fragment_20=comment$2(),node_27=first_child(fragment_20);{var consequent_19=$$anchor4=>{var fragment_21=comment$2(),node_28=first_child(fragment_21);component(node_28,()=>$$props.toast.action,($$anchor5,toast_action)=>{toast_action($$anchor5,{})}),append($$anchor4,fragment_21)},consequent_20=$$anchor4=>{var button_2=root_28$1(),
+text_3=child(button_2,!0);reset(button_2),template_effect($0=>{set_style(button_2,$$props.toast.actionButtonStyle??actionButtonStyle()),set_class(button_2,1,$0),set_text(text_3,$$props.toast.action.label)},[()=>clsx(cn(get$3(classes)?.actionButton,$$props.toast?.classes?.actionButton))]),delegated("click",button_2,event2=>{isAction($$props.toast.action)&&($$props.toast.action?.onClick(event2),!event2.defaultPrevented&&deleteToast())}),append($$anchor4,button_2)},d_12=user_derived(()=>isAction($$props.
+toast.action));if_block(node_27,$$render=>{typeof $$props.toast.action=="function"?$$render(consequent_19):get$3(d_12)&&$$render(consequent_20,1)})}append($$anchor3,fragment_20)};if_block(node_26,$$render=>{$$props.toast.action&&$$render(consequent_21)})}template_effect($0=>set_class(div_3,1,$0),[()=>clsx(cn(get$3(classes)?.title,$$props.toast?.classes?.title))]),append($$anchor2,fragment_3)};if_block(node_4,$$render=>{$$props.toast.component?$$render(consequent_2):$$render(alternate_4,-1)})}reset(
+li2),bind_this(li2,$$value=>set$1(toastRef,$$value),()=>get$3(toastRef)),template_effect(($0,$1,$2)=>{set_class(li2,1,$0),set_attribute(li2,"data-rich-colors",$$props.toast.richColors??defaultRichColors()),set_attribute(li2,"data-styled",!($$props.toast.component||$$props.toast.unstyled||unstyled())),set_attribute(li2,"data-mounted",get$3(mounted)),set_attribute(li2,"data-promise",$1),set_attribute(li2,"data-swiped",get$3(isSwiped)),set_attribute(li2,"data-removed",get$3(removed)),set_attribute(
+li2,"data-visible",get$3(isVisible)),set_attribute(li2,"data-y-position",get$3(coords)[0]),set_attribute(li2,"data-x-position",get$3(coords)[1]),set_attribute(li2,"data-index",$$props.index),set_attribute(li2,"data-front",get$3(isFront)),set_attribute(li2,"data-swiping",get$3(swiping)),set_attribute(li2,"data-dismissable",get$3(dismissable)),set_attribute(li2,"data-type",get$3(toastType)),set_attribute(li2,"data-invert",get$3(invert)),set_attribute(li2,"data-swipe-out",get$3(swipeOut)),set_attribute(
+li2,"data-swipe-direction",get$3(swipeOutDirection)),set_attribute(li2,"data-expanded",$2),styles2=set_style(li2,`${$$props.style} ${$$props.toast.style}`,styles2,{"--index":$$props.index,"--toasts-before":$$props.index,"--z-index":toastState.toasts.length-$$props.index,"--offset":`${get$3(removed)?get$3(offsetBeforeRemove):get$3(offset2)}px`,"--initial-height":$$props.expandByDefault?"auto":`${get$3(initialHeight)}px`})},[()=>clsx(cn($$props.class,get$3(toastClass),get$3(classes)?.toast,$$props.
+toast?.classes?.toast,get$3(classes)?.[get$3(toastType)],$$props.toast?.classes?.[get$3(toastType)])),()=>!!$$props.toast.promise,()=>!!($$props.expanded||$$props.expandByDefault&&get$3(mounted))]),delegated("pointermove",li2,handlePointerMove),delegated("pointerup",li2,handlePointerUp),delegated("pointerdown",li2,handlePointerDown),event("dragend",li2,handleDragEnd),append($$anchor,li2),pop()}delegate(["pointermove","pointerup","pointerdown","click"]);var root$1P=from_svg('<svg xmlns="http://ww\
+w.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" height="20" width="20" data-sonner-success-icon=""><path fill-rule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zm3.857-9.809a.75.75 0 00-1.214-.882l-3.483 4.79-1.88-1.88a.75.75 0 10-1.06 1.061l2.5 2.5a.75.75 0 001.137-.089l4-5.5z" clip-rule="evenodd"></path></svg>');function SuccessIcon($$anchor){var svg2=root$1P();append($$anchor,svg2)}var root$1O=from_svg('<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor"\
+ height="20" width="20" data-sonner-error-icon=""><path fill-rule="evenodd" d="M18 10a8 8 0 11-16 0 8 8 0 0116 0zm-8-5a.75.75 0 01.75.75v4.5a.75.75 0 01-1.5 0v-4.5A.75.75 0 0110 5zm0 10a1 1 0 100-2 1 1 0 000 2z" clip-rule="evenodd"></path></svg>');function ErrorIcon($$anchor){var svg2=root$1O();append($$anchor,svg2)}var root$1N=from_svg('<svg viewBox="0 0 64 64" fill="currentColor" height="20" width="20" data-sonner-warning-icon="" xmlns="http://www.w3.org/2000/svg"><path d="M32.427,7.987c2.183,\
+0.124 4,1.165 5.096,3.281l17.936,36.208c1.739,3.66 -0.954,8.585 -5.373,8.656l-36.119,0c-4.022,-0.064 -7.322,-4.631 -5.352,-8.696l18.271,-36.207c0.342,-0.65 0.498,-0.838 0.793,-1.179c1.186,-1.375 2.483,-2.111 4.748,-2.063Zm-0.295,3.997c-0.687,0.034 -1.316,0.419 -1.659,1.017c-6.312,11.979 -12.397,24.081 -18.301,36.267c-0.546,1.225 0.391,2.797 1.762,2.863c12.06,0.195 24.125,0.195 36.185,0c1.325,-0.064 2.321,-1.584 1.769,-2.85c-5.793,-12.184 -11.765,-24.286 -17.966,-36.267c-0.366,-0.651 -0.903,-1.04\
+2 -1.79,-1.03Z"></path><path d="M33.631,40.581l-3.348,0l-0.368,-16.449l4.1,0l-0.384,16.449Zm-3.828,5.03c0,-0.609 0.197,-1.113 0.592,-1.514c0.396,-0.4 0.935,-0.601 1.618,-0.601c0.684,0 1.223,0.201 1.618,0.601c0.395,0.401 0.593,0.905 0.593,1.514c0,0.587 -0.193,1.078 -0.577,1.473c-0.385,0.395 -0.929,0.593 -1.634,0.593c-0.705,0 -1.249,-0.198 -1.634,-0.593c-0.384,-0.395 -0.576,-0.886 -0.576,-1.473Z"></path></svg>');function WarningIcon($$anchor){var svg2=root$1N();append($$anchor,svg2)}var root$1M=from_svg(
+'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="currentColor" height="20" width="20" data-sonner-info-icon=""><path fill-rule="evenodd" d="M18 10a8 8 0 11-16 0 8 8 0 0116 0zm-7-4a1 1 0 11-2 0 1 1 0 012 0zM9 9a.75.75 0 000 1.5h.253a.25.25 0 01.244.304l-.459 2.066A1.75 1.75 0 0010.747 15H11a.75.75 0 000-1.5h-.253a.25.25 0 01-.244-.304l.459-2.066A1.75 1.75 0 009.253 9H9z" clip-rule="evenodd"></path></svg>');function InfoIcon($$anchor){var svg2=root$1M();append($$anchor,svg2)}var root$1L=from_svg(
+'<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" data-sonner-close-icon=""><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg>');function CloseIcon($$anchor){var svg2=root$1L();append($$anchor,svg2)}const VISIBLE_TOASTS_AMOUNT=3,VIEWPORT_OFFSET="24px",MOBILE_VIEWPORT_OFFSET="16px",TOAST_LIFETIME=4e3,TOAST_WIDTH=356,GAP=14,
+DARK="dark",LIGHT="light";function getOffsetObject(defaultOffset,mobileOffset){const styles2={};return[defaultOffset,mobileOffset].forEach((offset2,index2)=>{const isMobile=index2===1,prefix=isMobile?"--mobile-offset":"--offset",defaultValue=isMobile?MOBILE_VIEWPORT_OFFSET:VIEWPORT_OFFSET;function assignAll(offset3){["top","right","bottom","left"].forEach(key2=>{styles2[`${prefix}-${key2}`]=typeof offset3=="number"?`${offset3}px`:offset3})}typeof offset2=="number"||typeof offset2=="string"?assignAll(
+offset2):typeof offset2=="object"?["top","right","bottom","left"].forEach(key2=>{const value=offset2[key2];value===void 0?styles2[`${prefix}-${key2}`]=defaultValue:styles2[`${prefix}-${key2}`]=typeof value=="number"?`${value}px`:value}):assignAll(defaultValue)}),styles2}var root_2$1c=from_html("<ol></ol>"),root$1K=from_html('<section aria-live="polite" aria-relevant="additions text" aria-atomic="false" class="svelte-nbs0zk"><!></section>');function Toaster($$anchor,$$props){push$1($$props,!0);function getInitialTheme(t){
+return t!=="system"?t:typeof window<"u"&&window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?DARK:LIGHT}let invert=prop($$props,"invert",3,!1),position2=prop($$props,"position",3,"bottom-right"),hotkey=prop($$props,"hotkey",19,()=>["altKey","KeyT"]),expand=prop($$props,"expand",3,!1),closeButton=prop($$props,"closeButton",3,!1),offset2=prop($$props,"offset",3,VIEWPORT_OFFSET),mobileOffset=prop($$props,"mobileOffset",3,MOBILE_VIEWPORT_OFFSET),theme=prop($$props,"theme",3,
+"light"),richColors=prop($$props,"richColors",3,!1),duration2=prop($$props,"duration",3,TOAST_LIFETIME),visibleToasts=prop($$props,"visibleToasts",3,VISIBLE_TOASTS_AMOUNT),toastOptions=prop($$props,"toastOptions",19,()=>({})),dir=prop($$props,"dir",7,"auto"),gap=prop($$props,"gap",3,GAP),containerAriaLabel=prop($$props,"containerAriaLabel",3,"Notifications"),closeButtonAriaLabel=prop($$props,"closeButtonAriaLabel",3,"Close toast"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","in\
+vert","position","hotkey","expand","closeButton","offset","mobileOffset","theme","richColors","duration","visibleToasts","toastOptions","dir","gap","loadingIcon","successIcon","errorIcon","warningIcon","closeIcon","infoIcon","containerAriaLabel","class","closeButtonAriaLabel","onblur","onfocus","onmouseenter","onmousemove","onmouseleave","ondragend","onpointerdown","onpointerup"]);function getDocumentDirection(){if(dir()!=="auto")return dir();if(typeof window>"u"||typeof document>"u")return"ltr";
+const dirAttribute=document.documentElement.getAttribute("dir");return dirAttribute==="auto"||!dirAttribute?(untrack$1(()=>dir(window.getComputedStyle(document.documentElement).direction??"ltr")),dir()):(untrack$1(()=>dir(dirAttribute)),dirAttribute)}const possiblePositions=user_derived(()=>Array.from(new Set([position2(),...toastState.toasts.filter(toast2=>toast2.position).map(toast2=>toast2.position)].filter(Boolean))));let expanded=state$1(!1),interacting=state$1(!1),actualTheme=state$1(proxy(
+getInitialTheme(theme()))),listRef=state$1(void 0),lastFocusedElementRef=state$1(null),isFocusWithin=state$1(!1);const hotkeyLabel=user_derived(()=>hotkey().join("+").replace(/Key/g,"").replace(/Digit/g,""));user_effect(()=>{toastState.toasts.length<=1&&set$1(expanded,!1)}),user_effect(()=>{const toastsToDismiss=toastState.toasts.filter(toast2=>toast2.dismiss&&!toast2.delete);if(toastsToDismiss.length>0){const updatedToasts=toastState.toasts.map(toast2=>toastsToDismiss.find(dismissToast=>dismissToast.
+id===toast2.id)?{...toast2,delete:!0}:toast2);toastState.toasts=updatedToasts}}),user_effect(()=>()=>{get$3(listRef)&&get$3(lastFocusedElementRef)&&(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null),set$1(isFocusWithin,!1))}),onMount$1(()=>(toastState.reset(),on(document,"keydown",event2=>{hotkey().every(key2=>event2[key2]||event2.code===key2)&&(set$1(expanded,!0),get$3(listRef)?.focus()),event2.code==="Escape"&&(document.activeElement===get$3(listRef)||get$3(
+listRef)?.contains(document.activeElement))&&set$1(expanded,!1)}))),user_effect(()=>{if(theme()!=="system"&&set$1(actualTheme,theme()),typeof window<"u"){theme()==="system"&&(window.matchMedia&&window.matchMedia("(prefers-color-scheme: dark)").matches?set$1(actualTheme,DARK):set$1(actualTheme,LIGHT));const mediaQueryList=window.matchMedia("(prefers-color-scheme: dark)"),changeHandler=({matches:matches2})=>{set$1(actualTheme,matches2?DARK:LIGHT,!0)};"addEventListener"in mediaQueryList?mediaQueryList.
+addEventListener("change",changeHandler):mediaQueryList.addListener(changeHandler)}});const handleBlur=event2=>{$$props.onblur?.(event2),get$3(isFocusWithin)&&!event2.currentTarget.contains(event2.relatedTarget)&&(set$1(isFocusWithin,!1),get$3(lastFocusedElementRef)&&(get$3(lastFocusedElementRef).focus({preventScroll:!0}),set$1(lastFocusedElementRef,null)))},handleFocus=event2=>{$$props.onfocus?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&(get$3(
+isFocusWithin)||(set$1(isFocusWithin,!0),set$1(lastFocusedElementRef,event2.relatedTarget,!0)))},handlePointerDown=event2=>{$$props.onpointerdown?.(event2),!(event2.target instanceof HTMLElement&&event2.target.dataset.dismissable==="false")&&set$1(interacting,!0)},handleMouseEnter=event2=>{$$props.onmouseenter?.(event2),set$1(expanded,!0)},handleMouseLeave=event2=>{$$props.onmouseleave?.(event2),get$3(interacting)||set$1(expanded,!1)},handleMouseMove=event2=>{$$props.onmousemove?.(event2),set$1(
+expanded,!0)},handleDragEnd=event2=>{$$props.ondragend?.(event2),set$1(expanded,!1)},handlePointerUp=event2=>{$$props.onpointerup?.(event2),set$1(interacting,!1)};sonnerContext.set(new SonnerState);var section2=root$1K();set_attribute(section2,"tabindex",-1);var node2=child(section2);{var consequent_10=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);each(node_1,18,()=>get$3(possiblePositions),position3=>position3,($$anchor3,position3,index2,$$array)=>{const computed_const=user_derived(
+()=>{const[y,x]=position3.split("-");return{y,x}}),offsetObject=user_derived(()=>getOffsetObject(offset2(),mobileOffset()));var ol=root_2$1c();attribute_effect(ol,$0=>({tabindex:-1,dir:$0,class:$$props.class,"data-sonner-toaster":!0,"data-sonner-theme":get$3(actualTheme),"data-y-position":get$3(computed_const).y,"data-x-position":get$3(computed_const).x,style:$$props.style,onblur:handleBlur,onfocus:handleFocus,onmouseenter:handleMouseEnter,onmousemove:handleMouseMove,onmouseleave:handleMouseLeave,
+ondragend:handleDragEnd,onpointerdown:handlePointerDown,onpointerup:handlePointerUp,...restProps,[STYLE]:{"--front-toast-height":`${toastState.heights[0]?.height}px`,"--width":`${TOAST_WIDTH}px`,"--gap":`${gap()}px`,"--offset-top":get$3(offsetObject)["--offset-top"],"--offset-right":get$3(offsetObject)["--offset-right"],"--offset-bottom":get$3(offsetObject)["--offset-bottom"],"--offset-left":get$3(offsetObject)["--offset-left"],"--mobile-offset-top":get$3(offsetObject)["--mobile-offset-top"],"--\
+mobile-offset-right":get$3(offsetObject)["--mobile-offset-right"],"--mobile-offset-bottom":get$3(offsetObject)["--mobile-offset-bottom"],"--mobile-offset-left":get$3(offsetObject)["--mobile-offset-left"]}}),[()=>getDocumentDirection()],void 0,void 0,"svelte-nbs0zk"),each(ol,23,()=>toastState.toasts.filter(toast2=>!toast2.position&&get$3(index2)===0||toast2.position===position3),toast2=>toast2.id,($$anchor4,toast2,index3,$$array_1)=>{{const successIcon=$$anchor5=>{var fragment_2=comment$2(),node_2=first_child(
+fragment_2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.successIcon??noop$3),append($$anchor6,fragment_3)},consequent_1=$$anchor6=>{SuccessIcon($$anchor6)};if_block(node_2,$$render=>{$$props.successIcon?$$render(consequent):$$props.successIcon!==null&&$$render(consequent_1,1)})}append($$anchor5,fragment_2)},errorIcon=$$anchor5=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);{var consequent_2=$$anchor6=>{var fragment_6=comment$2(),
+node_5=first_child(fragment_6);snippet(node_5,()=>$$props.errorIcon??noop$3),append($$anchor6,fragment_6)},consequent_3=$$anchor6=>{ErrorIcon($$anchor6)};if_block(node_4,$$render=>{$$props.errorIcon?$$render(consequent_2):$$props.errorIcon!==null&&$$render(consequent_3,1)})}append($$anchor5,fragment_5)},warningIcon=$$anchor5=>{var fragment_8=comment$2(),node_6=first_child(fragment_8);{var consequent_4=$$anchor6=>{var fragment_9=comment$2(),node_7=first_child(fragment_9);snippet(node_7,()=>$$props.
+warningIcon??noop$3),append($$anchor6,fragment_9)},consequent_5=$$anchor6=>{WarningIcon($$anchor6)};if_block(node_6,$$render=>{$$props.warningIcon?$$render(consequent_4):$$props.warningIcon!==null&&$$render(consequent_5,1)})}append($$anchor5,fragment_8)},infoIcon=$$anchor5=>{var fragment_11=comment$2(),node_8=first_child(fragment_11);{var consequent_6=$$anchor6=>{var fragment_12=comment$2(),node_9=first_child(fragment_12);snippet(node_9,()=>$$props.infoIcon??noop$3),append($$anchor6,fragment_12)},
+consequent_7=$$anchor6=>{InfoIcon($$anchor6)};if_block(node_8,$$render=>{$$props.infoIcon?$$render(consequent_6):$$props.infoIcon!==null&&$$render(consequent_7,1)})}append($$anchor5,fragment_11)},closeIcon=$$anchor5=>{var fragment_14=comment$2(),node_10=first_child(fragment_14);{var consequent_8=$$anchor6=>{var fragment_15=comment$2(),node_11=first_child(fragment_15);snippet(node_11,()=>$$props.closeIcon??noop$3),append($$anchor6,fragment_15)},consequent_9=$$anchor6=>{CloseIcon($$anchor6)};if_block(
+node_10,$$render=>{$$props.closeIcon?$$render(consequent_8):$$props.closeIcon!==null&&$$render(consequent_9,1)})}append($$anchor5,fragment_14)};let $0=user_derived(()=>toastOptions()?.duration??duration2()),$1=user_derived(()=>toastOptions()?.class??""),$2=user_derived(()=>toastOptions()?.descriptionClass||""),$3=user_derived(()=>toastOptions()?.style??""),$4=user_derived(()=>toastOptions().classes||{}),$5=user_derived(()=>toastOptions().unstyled??!1),$6=user_derived(()=>toastOptions()?.cancelButtonStyle??
+""),$7=user_derived(()=>toastOptions()?.actionButtonStyle??""),$8=user_derived(()=>toastOptions()?.closeButtonAriaLabel??closeButtonAriaLabel());Toast($$anchor4,{get index(){return get$3(index3)},get toast(){return get$3(toast2)},get defaultRichColors(){return richColors()},get duration(){return get$3($0)},get class(){return get$3($1)},get descriptionClass(){return get$3($2)},get invert(){return invert()},get visibleToasts(){return visibleToasts()},get closeButton(){return closeButton()},get interacting(){
+return get$3(interacting)},get position(){return position3},get style(){return get$3($3)},get classes(){return get$3($4)},get unstyled(){return get$3($5)},get cancelButtonStyle(){return get$3($6)},get actionButtonStyle(){return get$3($7)},get closeButtonAriaLabel(){return get$3($8)},get expandByDefault(){return expand()},get expanded(){return get$3(expanded)},get loadingIcon(){return $$props.loadingIcon},successIcon,errorIcon,warningIcon,infoIcon,closeIcon,$$slots:{successIcon:!0,errorIcon:!0,warningIcon:!0,
+infoIcon:!0,closeIcon:!0}})}}),reset(ol),bind_this(ol,$$value=>set$1(listRef,$$value),()=>get$3(listRef)),template_effect(()=>ol.dir=ol.dir),append($$anchor3,ol)}),append($$anchor2,fragment)};if_block(node2,$$render=>{toastState.toasts.length>0&&$$render(consequent_10)})}reset(section2),template_effect(()=>set_attribute(section2,"aria-label",`${containerAriaLabel()??""} ${get$3(hotkeyLabel)??""}`)),append($$anchor,section2),pop()}async function copyToClipboard(text2,successMessage="Copied to cli\
+pboard",errorMessage="Failed to copy to clipboard"){try{if(navigator.clipboard&&navigator.clipboard.writeText)return await navigator.clipboard.writeText(text2),toast.success(successMessage),!0;const textArea=document.createElement("textarea");textArea.value=text2,textArea.style.position="fixed",textArea.style.left="-999999px",textArea.style.top="-999999px",document.body.appendChild(textArea),textArea.focus(),textArea.select();const successful=document.execCommand("copy");if(document.body.removeChild(
+textArea),successful)return toast.success(successMessage),!0;throw new Error("execCommand failed")}catch(error2){return console.error("Failed to copy to clipboard:",error2),toast.error(errorMessage),!1}}async function copyCodeToClipboard(rawCode,successMessage="Code copied to clipboard",errorMessage="Failed to copy code"){return copyToClipboard(rawCode,successMessage,errorMessage)}function formatMessageForClipboard(content2,extras,asPlainText=!1){const textAttachments=extras?.filter(extra=>extra.
+type===AttachmentType.TEXT||extra.type===AttachmentType.LEGACY_CONTEXT||extra.type===AttachmentType.MCP_PROMPT||extra.type===AttachmentType.MCP_RESOURCE)??[];if(textAttachments.length===0)return content2;if(asPlainText){const parts=[content2];for(const att of textAttachments)parts.push(att.content);return parts.join(`
 
-`)}const a=n.map(i=>{if(i.type===Kr.MCP_PROMPT){const s=i;return{type:Kr.MCP_PROMPT,name:s.name,serverName:s.serverName,promptName:s.promptName,content:s.content,arguments:s.arguments}}return{type:Kr.TEXT,name:i.name,content:i.content}});return`${JSON.stringify(r)}
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+`)}const clipboardAttachments=textAttachments.map(att=>{if(att.type===AttachmentType.MCP_PROMPT){const mcpAtt=att;return{type:AttachmentType.MCP_PROMPT,name:mcpAtt.name,serverName:mcpAtt.serverName,promptName:mcpAtt.promptName,content:mcpAtt.content,arguments:mcpAtt.arguments}}return{type:AttachmentType.TEXT,name:att.name,content:att.content}});return`${JSON.stringify(content2)}
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+promptName,content:att.content,arguments:att.arguments}):isValidTextAttachment(att)&&validTextAttachments.push({type:AttachmentType.TEXT,name:att.name,content:att.content});return{message,textAttachments:validTextAttachments,mcpPromptAttachments:validMcpPromptAttachments}}catch{return defaultResult}}function isValidMcpPromptAttachment(obj){if(typeof obj!="object"||obj===null)return!1;const record2=obj;return(record2.type===AttachmentType.MCP_PROMPT||record2.type==="MCP_PROMPT")&&typeof record2.name==
+"string"&&typeof record2.serverName=="string"&&typeof record2.promptName=="string"&&typeof record2.content=="string"}function isValidTextAttachment(obj){if(typeof obj!="object"||obj===null)return!1;const record2=obj;return(record2.type===AttachmentType.TEXT||record2.type==="TEXT")&&typeof record2.name=="string"&&typeof record2.content=="string"}function getFileTypeLabel(input){if(!input)return"FILE";if(input.includes("/")){const subtype=input.split("/").pop();if(subtype)return subtype.includes("\
+.")?subtype.split(".").pop()?.toUpperCase()||"FILE":subtype.toUpperCase()}if(input.includes(".")){const ext=input.split(".").pop();if(ext)return ext.toUpperCase()}return input.toUpperCase()}function getPreviewText(content2,max2=150){return content2.length>max2?content2.slice(0,max2)+"...":content2}function generateConversationTitle(content2,useFirstLine=!1){if(useFirstLine){const firstLine=content2.split(NEWLINE_SEPARATOR).find(line=>line.trim().length>0);return firstLine?firstLine.trim():content2.
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---- ${r}: ${a} ---
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We=Be.key,Je=Be.changes,nt=De[at];if(nt){for(var Ze=0,pt=Object.keys(Je);Ze<pt.length;Ze++){var gt=pt[Ze],_t=Je[gt];if(gt===P.schema.primKey.keyPath){if(Yr(_t,We)!==0)throw new he.Constraint("Cannot update primary key in bulkUpdate()")}else C(nt,gt,_t)}ve.push(at),Ve.push(We),Xe.push(nt)}});var tt=Ve.length;return J.mutate({trans:Re,type:"put",keys:Ve,values:Xe,updates:{keys:ce,changeSpecs:de}}).then(function(Be){var at=Be.numFailures,We=Be.failures;if(at===0)return tt;for(var Je=0,nt=Object.keys(We);Je<nt.length;Je++){var Ze,pt=nt[Je],gt=ve[Number(pt)];gt!=null&&(Ze=We[pt],delete We[pt],We[gt]=Ze)}throw new Q("".concat(P.name,".bulkUpdate(): ").concat(at," of ").concat(tt," operations failed"),We)})})})},Sn.prototype.bulkDelete=function(A){var P=this,J=A.length;return this._trans("readwrite",function(ce){return P.core.mutate({trans:ce,type:"delete",keys:A})}).then(function(Re){var de=Re.numFailures,ve=Re.lastResult,Re=Re.failures;if(de===0)return ve;throw new 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U("Error modifying one or more objects",We,Je,nt);return Ze.length})})})},ir.prototype.delete=function(){var A=this._ctx,P=A.range;return dl(A)&&(A.isPrimKey||P.type===3)?this._write(function(J){var ce=A.table.core.schema.primaryKey,de=P;return A.table.core.count({trans:J,query:{index:ce,range:de}}).then(function(ve){return A.table.core.mutate({trans:J,type:"deleteRange",range:de}).then(function(Re){var De=Re.failures;if(Re.lastResult,Re.results,Re=Re.numFailures,Re)throw new U("Could not delete some values",Object.keys(De).map(function(Ve){return De[Ve]}),ve-Re);return ve-Re})})}):this.modify(au)},ir);function ir(){}var au=function(A,P){return P.value=null};function Ma(A,P){return A<P?-1:A===P?0:1}function qn(A,P){return P<A?-1:A===P?0:1}function Da(A,P,J){return A=A instanceof yr?new A.Collection(A):A,A._ctx.error=new(J||TypeError)(P),A}function Ei(A){return new A.Collection(A,function(){return nr("")}).limit(0)}function fl(A,P,J,ce){var 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di({remove:A})},default:ec,RangeSet:Fi,mergeRanges:gp,rangesOverlap:P6}),{default:ec}),ec})}(S_)),S_.exports}var Vce=Hce();const _3=sh(Vce),d8=Symbol.for("Dexie"),fb=globalThis[d8]||(globalThis[d8]=_3);if(_3.semVer!==fb.semVer)throw new Error(`Two different versions of Dexie loaded in the same app: ${_3.semVer} and ${fb.semVer}`);const{liveQuery:HBe,mergeRanges:VBe,rangesOverlap:YBe,RangeSet:WBe,cmp:jBe,Entity:KBe,PropModification:XBe,replacePrefix:QBe,add:ZBe,remove:JBe}=fb;class Yce extends fb{conversations;messages;constructor(){super("LlamacppWebui"),this.version(1).stores({conversations:"id, lastModified, currNode, name",messages:"id, convId, type, role, timestamp, parent, children"})}}const Pr=new Yce;class mr{static async createConversation(e){const t={id:Cl(),name:e,lastModified:Date.now(),currNode:""};return await Pr.conversations.add(t),t}static async createMessageBranch(e,t){return await Pr.transaction("rw",[Pr.conversations,Pr.messages],async()=>{if(t!==null&&!await Pr.messages.get(t))throw new Error(`Parent message ${t} not found`);const n={...e,id:Cl(),parent:t,toolCalls:e.toolCalls??"",children:[]};if(await Pr.messages.add(n),t!==null){const a=await Pr.messages.get(t);a&&await Pr.messages.update(t,{children:[...a.children,n.id]})}return await this.updateConversation(e.convId,{currNode:n.id}),n})}static async createRootMessage(e){const t={id:Cl(),convId:e,type:"root",timestamp:Date.now(),role:Jt.SYSTEM,content:"",parent:null,toolCalls:"",children:[]};return await Pr.messages.add(t),t.id}static async createSystemMessage(e,t,n){const a=t.trim();if(!a)throw new Error("Cannot create system message with empty content");const i={id:Cl(),convId:e,type:Jt.SYSTEM,timestamp:Date.now(),role:Jt.SYSTEM,content:a,parent:n,children:[]};await Pr.messages.add(i);const s=await Pr.messages.get(n);return s&&await Pr.messages.update(n,{children:[...s.children,i.id]}),i}static async deleteConversation(e,t){await Pr.transaction("rw",[Pr.conversations,Pr.messages],async()=>{if(t?.deleteWithForks){const n=[],a=[e];for(;a.length>0;){const i=a.pop(),s=await Pr.conversations.filter(o=>o.forkedFromConversationId===i).toArray();for(const o of s)n.push(o.id),a.push(o.id)}for(const i of n)await Pr.conversations.delete(i),await Pr.messages.where("convId").equals(i).delete()}else{const a=(await Pr.conversations.get(e))?.forkedFromConversationId,i=await Pr.conversations.filter(s=>s.forkedFromConversationId===e).toArray();for(const s of i)await Pr.conversations.update(s.id,{forkedFromConversationId:a??void 0})}await Pr.conversations.delete(e),await Pr.messages.where("convId").equals(e).delete()})}static async deleteMessage(e){await Pr.transaction("rw",Pr.messages,async()=>{const t=await Pr.messages.get(e);if(t){if(t.parent){const n=await Pr.messages.get(t.parent);n&&(n.children=n.children.filter(a=>a!==e),await Pr.messages.put(n))}await Pr.messages.delete(e)}})}static async deleteMessageCascading(e,t){return await Pr.transaction("rw",Pr.messages,async()=>{const n=await Pr.messages.where("convId").equals(e).toArray(),a=l$(n,t),i=[t,...a],s=await Pr.messages.get(t);if(s&&s.parent){const o=await Pr.messages.get(s.parent);o&&(o.children=o.children.filter(l=>l!==t),await Pr.messages.put(o))}return await Pr.messages.bulkDelete(i),i})}static async getAllConversations(){return await Pr.conversations.orderBy("lastModified").reverse().toArray()}static async getConversation(e){return await Pr.conversations.get(e)}static async getConversationMessages(e){return await Pr.messages.where("convId").equals(e).sortBy("timestamp")}static async updateConversation(e,t){await Pr.conversations.update(e,{...t,lastModified:Date.now()})}static async updateCurrentNode(e,t){await this.updateConversation(e,{currNode:t})}static async updateMessage(e,t){await Pr.messages.update(e,t)}static async importConversations(e){let t=0,n=0;return await Pr.transaction("rw",[Pr.conversations,Pr.messages],async()=>{for(const a of e){const{conv:i,messages:s}=a;if(await Pr.conversations.get(i.id)){console.warn(`Conversation "${i.name}" already exists, skipping...`),n++;continue}await Pr.conversations.add(i);for(const l of s)await Pr.messages.put(l);t++}return{imported:t,skipped:n}})}static async forkConversation(e,t,n){return await Pr.transaction("rw",[Pr.conversations,Pr.messages],async()=>{const a=await Pr.conversations.get(e);if(!a)throw new Error(`Source conversation ${e} not found`);const i=await Pr.messages.where("convId").equals(e).toArray(),s=uf(i,t,!0);if(s.length===0)throw new Error(`Could not resolve message path to ${t}`);const o=new Map;for(const h of s)o.set(h.id,Cl());const l=Cl(),c=s.map(h=>{const p=o.get(h.id),m=h.parent?o.get(h.parent)??null:null,g=h.children.filter(b=>o.has(b)).map(b=>o.get(b));return{...h,id:p,convId:l,parent:m,children:g,extra:n.includeAttachments?h.extra:void 0}}),u=c[c.length-1],d={id:l,name:n.name,lastModified:Date.now(),currNode:u.id,forkedFromConversationId:e,mcpServerOverrides:a.mcpServerOverrides?a.mcpServerOverrides.map(h=>({serverId:h.serverId,enabled:h.enabled})):void 0};await Pr.conversations.add(d);for(const h of c)await Pr.messages.add(h);return d})}}const S$="llama-webui-migration-v2-done";function Wce(){try{return!localStorage.getItem(S$)}catch{return!1}}function h8(){try{localStorage.setItem(S$,String(Date.now()))}catch{}}function jce(r){return r.content?cf.HAS_LEGACY_MARKERS.test(r.content):!1}function f8(r){let e="",t=r;const n=new RegExp(cf.REASONING_EXTRACT.source,"g");let a;for(;(a=n.exec(r))!==null;)e+=a[1];return t=t.replace(new RegExp(cf.REASONING_BLOCK.source,"g"),"").replace(cf.REASONING_OPEN,""),{reasoning:e,cleanContent:t}}function Kce(r){const e=[],t=new RegExp(cf.COMPLETED_TOOL_CALL.source,"g");let n=0,a={textBefore:"",toolCalls:[]},i;for(;(i=t.exec(r))!==null;){const o=r.slice(n,i.index).trim();o&&a.toolCalls.length>0?(e.push(a),a={textBefore:o,toolCalls:[]}):o&&a.toolCalls.length===0&&(a.textBefore=o),a.toolCalls.push({name:i[1],args:i[2],result:i[3].replace(/^\n+|\n+$/g,"")}),n=i.index+i[0].length}const s=r.slice(n).trim();if(a.toolCalls.length>0&&e.push(a),s){const o=s.replace(cf.AGENTIC_TOOL_CALL_OPEN,"").trim();o&&e.push({textBefore:o,toolCalls:[]})}return e.length===0&&e.push({textBefore:r.trim(),toolCalls:[]}),e}async function Xce(r){const e=await mr.getConversationMessages(r);let t=0;for(const n of e){if(n.role!==Jt.ASSISTANT)continue;if(!jce(n)){if(n.content?.includes(kre.START)){const{reasoning:h,cleanContent:p}=f8(n.content);await mr.updateMessage(n.id,{content:p.trim(),reasoningContent:h||void 0}),t++}continue}const{reasoning:a,cleanContent:i}=f8(n.content),s=Kce(i);let o=[];if(n.toolCalls)try{o=JSON.parse(n.toolCalls)}catch{}const l=s[0];if(!l)continue;const 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-          payload.issues = payload.issues.concat(${E}.issues.map(iss => ({
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+	</div>`}function detectMcpTransportFromUrl(url2){const normalized=url2.trim().toLowerCase();return normalized.startsWith(UrlProtocol.WEBSOCKET)||normalized.startsWith(UrlProtocol.WEBSOCKET_SECURE)?MCPTransportType.WEBSOCKET:MCPTransportType.STREAMABLE_HTTP}function parseMcpServerSettings(rawServers){if(!rawServers)return[];let parsed;if(typeof rawServers=="string"){const trimmed=rawServers.trim();if(!trimmed)return[];try{parsed=JSON.parse(trimmed)}catch(error2){return console.warn("[MCP] Failed\
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+void 0,useProxy:!!entry?.useProxy}}):[]}function getMcpLogLevelIcon(level){switch(level){case MCPLogLevel.ERROR:return Circle_x;case MCPLogLevel.WARN:return Triangle_alert;default:return Info$1}}function getMcpLogLevelClass(level){switch(level){case MCPLogLevel.ERROR:return"text-destructive";case MCPLogLevel.WARN:return"text-yellow-600 dark:text-yellow-500";default:return"text-muted-foreground"}}function isImageMimeType(mimeType){return mimeType?.startsWith(MimeTypePrefix.IMAGE)??!1}function parseResourcePath(uri2){
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+s3=u2.hasGetAll,u2=t2.tables.map(n2),c3={};return u2.forEach(function(e3){return c3[e3.name]=e3}),{stack:"dbcore",transaction:e2.transaction.bind(e2),table:function(e3){if(!c3[e3])throw new Error("Table '".concat(e3,"' not found"));return c3[e3]},MIN_KEY:-1/0,MAX_KEY:Yt(i2),schema:t2}}function Jt(e2,t2,n2,r3){var i2=n2.IDBKeyRange;return n2.indexedDB,{dbcore:(r3=Ht(t2,i2,r3),e2.dbcore.reduce(function(e3,t3){return t3=t3.create,_(_({},e3),t3(e3))},r3))}}function Zt(n2,e2){var t2=e2.db,e2=Jt(n2._middlewares,
+t2,n2._deps,e2);n2.core=e2.dbcore,n2.tables.forEach(function(e3){var t3=e3.name;n2.core.schema.tables.some(function(e4){return e4.name===t3})&&(e3.core=n2.core.table(t3),n2[t3]instanceof n2.Table&&(n2[t3].core=e3.core))})}function en(i2,e2,t2,o2){t2.forEach(function(n2){var r3=o2[n2];e2.forEach(function(e3){var t3=(function e4(t4,n3){return h2(t4,n3)||(t4=c2(t4))&&e4(t4,n3)})(e3,n2);(!t3||"value"in t3&&t3.value===void 0)&&(e3===i2.Transaction.prototype||e3 instanceof i2.Transaction?l(e3,n2,{get:function(){
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+nother connection wants to delete database '".concat(o2.name,"'. Closing db now to resume the delete request.")),o2.close({disableAutoOpen:!1})}),this.on("blocked",function(e3){!e3.newVersion||e3.newVersion<e3.oldVersion?console.warn("Dexie.delete('".concat(o2.name,"') was blocked")):console.warn("Upgrade '".concat(o2.name,"' blocked by other connection holding version ").concat(e3.oldVersion/10))}),this._maxKey=Yt(t2.IDBKeyRange),this._createTransaction=function(e3,t3,n3,r4){return new o2.Transaction(
+e3,t3,n3,o2._options.chromeTransactionDurability,r4)},this._fireOnBlocked=function(t3){o2.on("blocked").fire(t3),et.filter(function(e3){return e3.name===o2.name&&e3!==o2&&!e3._state.vcFired}).map(function(e3){return e3.on("versionchange").fire(t3)})},this.use(Un),this.use(Jn),this.use(Wn),this.use(Rn),this.use(Nn);var l2=new Proxy(this,{get:function(e3,t3,n3){if(t3==="_vip")return!0;if(t3==="table")return function(e4){return Zn(o2.table(e4),l2)};var r4=Reflect.get(e3,t3,n3);return r4 instanceof ft?
+Zn(r4,l2):t3==="tables"?r4.map(function(e4){return Zn(e4,l2)}):t3==="_createTransaction"?function(){return Zn(r4.apply(this,arguments),l2)}:r4}});this.vip=l2,n2.forEach(function(e3){return e3(o2)})}var nr,F=typeof Symbol<"u"&&"observable"in Symbol?Symbol.observable:"@@observable",rr=(ir.prototype.subscribe=function(e2,t2,n2){return this._subscribe(e2&&typeof e2!="function"?e2:{next:e2,error:t2,complete:n2})},ir.prototype[F]=function(){return this},ir);function ir(e2){this._subscribe=e2}try{nr={indexedDB:f.
+indexedDB||f.mozIndexedDB||f.webkitIndexedDB||f.msIndexedDB,IDBKeyRange:f.IDBKeyRange||f.webkitIDBKeyRange}}catch{nr={indexedDB:null,IDBKeyRange:null}}function or(h3){var d3,p3=!1,e2=new rr(function(r3){var i2=B(h3),o2,a2=!1,u2={},s3={},e3={get closed(){return a2},unsubscribe:function(){a2||(a2=!0,o2&&o2.abort(),c3&&Nt.storagemutated.unsubscribe(f2))}};r3.start&&r3.start(e3);var c3=!1,l2=function(){return Ge(t2)},f2=function(e4){Kn(u2,e4),En(s3,u2)&&l2()},t2=function(){var t3,n2,e4;!a2&&nr.indexedDB&&
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+getDatabaseNames:function(e2){try{return t2=ar.dependencies,n2=t2.indexedDB,t2=t2.IDBKeyRange,(vn(n2)?Promise.resolve(n2.databases()).then(function(e3){return e3.map(function(e4){return e4.name}).filter(function(e4){return e4!==tt})}):yn(n2,t2).toCollection().primaryKeys()).then(e2)}catch{return Xe(new Y.MissingAPI)}var t2,n2},defineClass:function(){return function(e2){a(this,e2)}},ignoreTransaction:function(e2){return me.trans?$e(me.transless,e2):e2()},vip:mn,async:function(t2){return function(){
+try{var e2=In(t2.apply(this,arguments));return e2&&typeof e2.then=="function"?e2:_e.resolve(e2)}catch(e3){return Xe(e3)}}},spawn:function(e2,t2,n2){try{var r3=In(e2.apply(n2,t2||[]));return r3&&typeof r3.then=="function"?r3:_e.resolve(r3)}catch(e3){return Xe(e3)}},currentTransaction:{get:function(){return me.trans||null}},waitFor:function(e2,t2){return t2=_e.resolve(typeof e2=="function"?ar.ignoreTransaction(e2):e2).timeout(t2||6e4),me.trans?me.trans.waitFor(t2):t2},Promise:_e,debug:{get:function(){
+return ie},set:function(e2){oe(e2)}},derive:o,extend:a,props:r2,override:p2,Events:dt2,on:Nt,liveQuery:or,extendObservabilitySet:Kn,getByKeyPath:O,setByKeyPath:P,delByKeyPath:function(t2,e2){typeof e2=="string"?P(t2,e2,void 0):"length"in e2&&[].map.call(e2,function(e3){P(t2,e3,void 0)})},shallowClone:g,deepClone:S2,getObjectDiff:Fn,cmp:st,asap:v,minKey:-1/0,addons:[],connections:et,errnames:z,dependencies:nr,cache:Sn,semVer:"4.0.11",version:"4.0.11".split(".").map(function(e2){return parseInt(e2)}).
+reduce(function(e2,t2,n2){return e2+t2/Math.pow(10,2*n2)})})),ar.maxKey=Yt(ar.dependencies.IDBKeyRange),typeof dispatchEvent<"u"&&typeof addEventListener<"u"&&(Nt(Ft,function(e2){cr||(e2=new CustomEvent(Mt,{detail:e2}),cr=!0,dispatchEvent(e2),cr=!1)}),addEventListener(Mt,function(e2){e2=e2.detail,cr||ur(e2)}));var sr,cr=!1,lr=function(){};return typeof BroadcastChannel<"u"&&((lr=function(){(sr=new BroadcastChannel(Mt)).onmessage=function(e2){return e2.data&&ur(e2.data)}})(),typeof sr.unref=="fun\
+ction"&&sr.unref(),Nt(Ft,function(e2){cr||sr.postMessage(e2)})),typeof addEventListener<"u"&&(addEventListener("pagehide",function(e2){if(!er.disableBfCache&&e2.persisted){ie&&console.debug("Dexie: handling persisted pagehide"),sr?.close();for(var t2=0,n2=et;t2<n2.length;t2++)n2[t2].close({disableAutoOpen:!1})}}),addEventListener("pageshow",function(e2){!er.disableBfCache&&e2.persisted&&(ie&&console.debug("Dexie: handling persisted pageshow"),lr(),ur({all:new gn(-1/0,[[]])}))})),_e.rejectionMapper=
+function(e2,t2){return!e2||e2 instanceof N||e2 instanceof TypeError||e2 instanceof SyntaxError||!e2.name||!$[e2.name]?e2:(t2=new $[e2.name](t2||e2.message,e2),"stack"in e2&&l(t2,"stack",{get:function(){return this.inner.stack}}),t2)},oe(ie),_(er,Object.freeze({__proto__:null,Dexie:er,liveQuery:or,Entity:ut,cmp:st,PropModification:xt,replacePrefix:function(e2,t2){return new xt({replacePrefix:[e2,t2]})},add:function(e2){return new xt({add:e2})},remove:function(e2){return new xt({remove:e2})},default:er,
+RangeSet:gn,mergeRanges:_n,rangesOverlap:xn}),{default:er}),er})})(dexie_min$1)),dexie_min$1.exports}var dexie_minExports=requireDexie_min();const _Dexie=getDefaultExportFromCjs(dexie_minExports),DexieSymbol=Symbol.for("Dexie"),Dexie=globalThis[DexieSymbol]||(globalThis[DexieSymbol]=_Dexie);if(_Dexie.semVer!==Dexie.semVer)throw new Error(`Two different versions of Dexie loaded in the same app: ${_Dexie.semVer} and ${Dexie.semVer}`);const{liveQuery,mergeRanges,rangesOverlap,RangeSet,cmp,Entity,PropModification,
+replacePrefix,add,remove}=Dexie;class LlamacppDatabase extends Dexie{conversations;messages;constructor(){super("LlamacppWebui"),this.version(1).stores({conversations:"id, lastModified, currNode, name",messages:"id, convId, type, role, timestamp, parent, children"})}}const db=new LlamacppDatabase;class DatabaseService{static async createConversation(name){const conversation={id:uuid$1(),name,lastModified:Date.now(),currNode:""};return await db.conversations.add(conversation),conversation}static async createMessageBranch(message,parentId){
+return await db.transaction("rw",[db.conversations,db.messages],async()=>{if(parentId!==null&&!await db.messages.get(parentId))throw new Error(`Parent message ${parentId} not found`);const newMessage={...message,id:uuid$1(),parent:parentId,toolCalls:message.toolCalls??"",children:[]};if(await db.messages.add(newMessage),parentId!==null){const parentMessage=await db.messages.get(parentId);parentMessage&&await db.messages.update(parentId,{children:[...parentMessage.children,newMessage.id]})}return await this.
+updateConversation(message.convId,{currNode:newMessage.id}),newMessage})}static async createRootMessage(convId){const rootMessage={id:uuid$1(),convId,type:"root",timestamp:Date.now(),role:MessageRole.SYSTEM,content:"",parent:null,toolCalls:"",children:[]};return await db.messages.add(rootMessage),rootMessage.id}static async createSystemMessage(convId,systemPrompt,parentId){const trimmedPrompt=systemPrompt.trim();if(!trimmedPrompt)throw new Error("Cannot create system message with empty content");
+const systemMessage={id:uuid$1(),convId,type:MessageRole.SYSTEM,timestamp:Date.now(),role:MessageRole.SYSTEM,content:trimmedPrompt,parent:parentId,children:[]};await db.messages.add(systemMessage);const parentMessage=await db.messages.get(parentId);return parentMessage&&await db.messages.update(parentId,{children:[...parentMessage.children,systemMessage.id]}),systemMessage}static async deleteConversation(id2,options){await db.transaction("rw",[db.conversations,db.messages],async()=>{if(options?.
+deleteWithForks){const idsToDelete=[],queue=[id2];for(;queue.length>0;){const parentId=queue.pop(),children=await db.conversations.filter(c2=>c2.forkedFromConversationId===parentId).toArray();for(const child2 of children)idsToDelete.push(child2.id),queue.push(child2.id)}for(const forkId of idsToDelete)await db.conversations.delete(forkId),await db.messages.where("convId").equals(forkId).delete()}else{const newParent=(await db.conversations.get(id2))?.forkedFromConversationId,directChildren=await db.
+conversations.filter(c2=>c2.forkedFromConversationId===id2).toArray();for(const child2 of directChildren)await db.conversations.update(child2.id,{forkedFromConversationId:newParent??void 0})}await db.conversations.delete(id2),await db.messages.where("convId").equals(id2).delete()})}static async deleteMessage(messageId){await db.transaction("rw",db.messages,async()=>{const message=await db.messages.get(messageId);if(message){if(message.parent){const parent=await db.messages.get(message.parent);parent&&
+(parent.children=parent.children.filter(childId=>childId!==messageId),await db.messages.put(parent))}await db.messages.delete(messageId)}})}static async deleteMessageCascading(conversationId,messageId){return await db.transaction("rw",db.messages,async()=>{const allMessages=await db.messages.where("convId").equals(conversationId).toArray(),descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],message=await db.messages.get(messageId);if(message&&message.
+parent){const parent=await db.messages.get(message.parent);parent&&(parent.children=parent.children.filter(childId=>childId!==messageId),await db.messages.put(parent))}return await db.messages.bulkDelete(allToDelete),allToDelete})}static async getAllConversations(){return await db.conversations.orderBy("lastModified").reverse().toArray()}static async getConversation(id2){return await db.conversations.get(id2)}static async getConversationMessages(convId){return await db.messages.where("convId").equals(
+convId).sortBy("timestamp")}static async updateConversation(id2,updates){await db.conversations.update(id2,{...updates,lastModified:Date.now()})}static async updateCurrentNode(convId,nodeId){await this.updateConversation(convId,{currNode:nodeId})}static async updateMessage(id2,updates){await db.messages.update(id2,updates)}static async importConversations(data){let importedCount=0,skippedCount=0;return await db.transaction("rw",[db.conversations,db.messages],async()=>{for(const item of data){const{
+conv,messages}=item;if(await db.conversations.get(conv.id)){console.warn(`Conversation "${conv.name}" already exists, skipping...`),skippedCount++;continue}await db.conversations.add(conv);for(const msg of messages)await db.messages.put(msg);importedCount++}return{imported:importedCount,skipped:skippedCount}})}static async forkConversation(sourceConvId,atMessageId,options){return await db.transaction("rw",[db.conversations,db.messages],async()=>{const sourceConv=await db.conversations.get(sourceConvId);
+if(!sourceConv)throw new Error(`Source conversation ${sourceConvId} not found`);const allMessages=await db.messages.where("convId").equals(sourceConvId).toArray(),pathMessages=filterByLeafNodeId(allMessages,atMessageId,!0);if(pathMessages.length===0)throw new Error(`Could not resolve message path to ${atMessageId}`);const idMap=new Map;for(const msg of pathMessages)idMap.set(msg.id,uuid$1());const newConvId=uuid$1(),clonedMessages=pathMessages.map(msg=>{const newId=idMap.get(msg.id),newParent=msg.
+parent?idMap.get(msg.parent)??null:null,newChildren=msg.children.filter(childId=>idMap.has(childId)).map(childId=>idMap.get(childId));return{...msg,id:newId,convId:newConvId,parent:newParent,children:newChildren,extra:options.includeAttachments?msg.extra:void 0}}),lastClonedMessage=clonedMessages[clonedMessages.length-1],newConv={id:newConvId,name:options.name,lastModified:Date.now(),currNode:lastClonedMessage.id,forkedFromConversationId:sourceConvId,mcpServerOverrides:sourceConv.mcpServerOverrides?
+sourceConv.mcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled})):void 0};await db.conversations.add(newConv);for(const msg of clonedMessages)await db.messages.add(msg);return newConv})}}const MIGRATION_DONE_KEY="llama-webui-migration-v2-done";function isMigrationNeeded(){try{return!localStorage.getItem(MIGRATION_DONE_KEY)}catch{return!1}}function markMigrationDone(){try{localStorage.setItem(MIGRATION_DONE_KEY,String(Date.now()))}catch{}}function hasLegacyMarkers(message){return message.
+content?LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test(message.content):!1}function extractLegacyReasoning(content2){let reasoning="",cleanContent=content2;const re2=new RegExp(LEGACY_AGENTIC_REGEX.REASONING_EXTRACT.source,"g");let match;for(;(match=re2.exec(content2))!==null;)reasoning+=match[1];return cleanContent=cleanContent.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source,"g"),"").replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN,""),{reasoning,cleanContent}}function parseLegacyToolCalls(content2){
+const turns=[],regex=new RegExp(LEGACY_AGENTIC_REGEX.COMPLETED_TOOL_CALL.source,"g");let lastIndex=0,currentTurn={textBefore:"",toolCalls:[]},match;for(;(match=regex.exec(content2))!==null;){const textBefore=content2.slice(lastIndex,match.index).trim();textBefore&&currentTurn.toolCalls.length>0?(turns.push(currentTurn),currentTurn={textBefore,toolCalls:[]}):textBefore&&currentTurn.toolCalls.length===0&&(currentTurn.textBefore=textBefore),currentTurn.toolCalls.push({name:match[1],args:match[2],result:match[3].
+replace(/^\n+|\n+$/g,"")}),lastIndex=match.index+match[0].length}const remainingText=content2.slice(lastIndex).trim();if(currentTurn.toolCalls.length>0&&turns.push(currentTurn),remainingText){const cleanRemaining=remainingText.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN,"").trim();cleanRemaining&&turns.push({textBefore:cleanRemaining,toolCalls:[]})}return turns.length===0&&turns.push({textBefore:content2.trim(),toolCalls:[]}),turns}async function migrateConversation(convId){const allMessages=await DatabaseService.
+getConversationMessages(convId);let migratedCount=0;for(const message of allMessages){if(message.role!==MessageRole.ASSISTANT)continue;if(!hasLegacyMarkers(message)){if(message.content?.includes(LEGACY_REASONING_TAGS.START)){const{reasoning:reasoning2,cleanContent:cleanContent2}=extractLegacyReasoning(message.content);await DatabaseService.updateMessage(message.id,{content:cleanContent2.trim(),reasoningContent:reasoning2||void 0}),migratedCount++}continue}const{reasoning,cleanContent}=extractLegacyReasoning(
+message.content),turns=parseLegacyToolCalls(cleanContent);let existingToolCalls=[];if(message.toolCalls)try{existingToolCalls=JSON.parse(message.toolCalls)}catch{}const firstTurn=turns[0];if(!firstTurn)continue;const firstTurnToolCalls=firstTurn.toolCalls.map((tc,i)=>({id:(existingToolCalls.find(e=>e.function?.name===tc.name)||existingToolCalls[i])?.id||`legacy_tool_${i}`,type:"function",function:{name:tc.name,arguments:tc.args}}));await DatabaseService.updateMessage(message.id,{content:firstTurn.
+textBefore,reasoningContent:reasoning||void 0,toolCalls:firstTurnToolCalls.length>0?JSON.stringify(firstTurnToolCalls):""});let currentParentId=message.id,toolCallIdCounter=existingToolCalls.length;for(let i=0;i<firstTurn.toolCalls.length;i++){const tc=firstTurn.toolCalls[i],toolCallId=firstTurnToolCalls[i]?.id||`legacy_tool_${i}`;currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:tc.result,toolCallId,timestamp:message.timestamp+
+i+1,toolCalls:"",children:[]},currentParentId)).id}for(let turnIdx=1;turnIdx<turns.length;turnIdx++){const turn=turns[turnIdx],turnToolCalls=turn.toolCalls.map((tc,i)=>{const idx=toolCallIdCounter+i;return{id:existingToolCalls[idx]?.id||`legacy_tool_${idx}`,type:"function",function:{name:tc.name,arguments:tc.args}}});toolCallIdCounter+=turn.toolCalls.length,currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:turn.textBefore,
+timestamp:message.timestamp+turnIdx*100,toolCalls:turnToolCalls.length>0?JSON.stringify(turnToolCalls):"",children:[],model:message.model},currentParentId)).id;for(let i=0;i<turn.toolCalls.length;i++){const tc=turn.toolCalls[i],toolCallId=turnToolCalls[i]?.id||`legacy_tool_${toolCallIdCounter+i}`;currentParentId=(await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:tc.result,toolCallId,timestamp:message.timestamp+turnIdx*100+i+1,toolCalls:"",children:[]},
+currentParentId)).id}}if(message.children.length>0&&currentParentId!==message.id){for(const childId of message.children){const child2=allMessages.find(m=>m.id===childId);if(child2&&child2.role!==MessageRole.TOOL){await DatabaseService.updateMessage(childId,{parent:currentParentId});const newParent=await DatabaseService.getConversationMessages(convId).then(msgs=>msgs.find(m=>m.id===currentParentId));newParent&&!newParent.children.includes(childId)&&await DatabaseService.updateMessage(currentParentId,
+{children:[...newParent.children,childId]})}}await DatabaseService.updateMessage(message.id,{children:[]})}migratedCount++}return migratedCount}async function runLegacyMigration(){if(isMigrationNeeded()){console.log("[Migration] Starting legacy message format migration...");try{const conversations2=await DatabaseService.getAllConversations();let totalMigrated=0;for(const conv of conversations2){const count=await migrateConversation(conv.id);totalMigrated+=count}totalMigrated>0?console.log(`[Migr\
+ation] Migrated ${totalMigrated} messages across ${conversations2.length} conversations`):console.log("[Migration] No legacy messages found, marking as done"),markMigrationDone()}catch(error2){console.error("[Migration] Failed to migrate legacy messages:",error2),markMigrationDone()}}}class TTLCache{cache=new Map;ttlMs;maxEntries;onEvict;constructor(options={}){this.ttlMs=options.ttlMs??DEFAULT_CACHE_TTL_MS,this.maxEntries=options.maxEntries??DEFAULT_CACHE_MAX_ENTRIES,this.onEvict=options.onEvict}get(key2){
+const entry=this.cache.get(key2);return entry?Date.now()>entry.expiresAt?(this.delete(key2),null):(entry.lastAccessed=Date.now(),entry.value):null}set(key2,value,customTtlMs){this.cache.size>=this.maxEntries&&!this.cache.has(key2)&&this.evictOldest();const ttl=customTtlMs??this.ttlMs,now2=Date.now();this.cache.set(key2,{value,expiresAt:now2+ttl,lastAccessed:now2})}has(key2){const entry=this.cache.get(key2);return entry?Date.now()>entry.expiresAt?(this.delete(key2),!1):!0:!1}delete(key2){const entry=this.
+cache.get(key2);return entry&&this.onEvict&&this.onEvict(key2,entry.value),this.cache.delete(key2)}clear(){if(this.onEvict)for(const[key2,entry]of this.cache)this.onEvict(key2,entry.value);this.cache.clear()}get size(){return this.cache.size}prune(){const now2=Date.now();let pruned=0;for(const[key2,entry]of this.cache)now2>entry.expiresAt&&(this.delete(key2),pruned++);return pruned}keys(){const now2=Date.now(),validKeys=[];for(const[key2,entry]of this.cache)now2<=entry.expiresAt&&validKeys.push(
+key2);return validKeys}evictOldest(){let oldestKey=null,oldestTime=1/0;for(const[key2,entry]of this.cache)entry.lastAccessed<oldestTime&&(oldestTime=entry.lastAccessed,oldestKey=key2);oldestKey!==null&&this.delete(oldestKey)}touch(key2){const entry=this.cache.get(key2);if(!entry)return!1;const now2=Date.now();return now2>entry.expiresAt?(this.delete(key2),!1):(entry.expiresAt=now2+this.ttlMs,entry.lastAccessed=now2,!0)}}function getRequestUrl(input){return typeof input=="string"?input:input instanceof
+URL?input.href:input.url}function getRequestMethod(input,init2,baseInit){return init2?.method?init2.method:typeof Request<"u"&&input instanceof Request?input.method:baseInit?.method??"GET"}function getRequestBody(input,init2){if(init2?.body!==void 0)return init2.body;if(typeof Request<"u"&&input instanceof Request)return input.body}function summarizeRequestBody(body2){return body2==null?{kind:"empty"}:typeof body2=="string"?{kind:"string",size:body2.length}:body2 instanceof Blob?{kind:"blob",size:body2.
+size}:body2 instanceof URLSearchParams?{kind:"urlsearchparams",size:body2.toString().length}:body2 instanceof FormData?{kind:"formdata"}:body2 instanceof ArrayBuffer?{kind:"arraybuffer",size:body2.byteLength}:ArrayBuffer.isView(body2)?{kind:body2.constructor.name,size:body2.byteLength}:{kind:typeof body2}}function formatDiagnosticErrorMessage(error2){const message=error2 instanceof Error?error2.message:String(error2);return message.includes("Failed to fetch")?`${message} (check CORS?)`:message}function extractJsonRpcMethods(body2){
+if(typeof body2=="string")try{const parsed=JSON.parse(body2),methods=(Array.isArray(parsed)?parsed:[parsed]).map(message=>typeof message?.method=="string"?message.method:void 0).filter(method=>!!method);return methods.length>0?methods:void 0}catch{return}}function throwIfAborted(signal){if(signal?.aborted)throw new DOMException("Operation was aborted","AbortError")}function isAbortError(error2){return error2 instanceof DOMException&&error2.name==="AbortError"||error2 instanceof Error&&error2.name===
+"AbortError"}function uuid$1(){return globalThis.crypto?.randomUUID?.()??Math.random().toString(36).substring(2)}function remToPx(rem){const val=parseFloat(rem),fontSize=parseFloat(getComputedStyle(document.documentElement).fontSize);return val*fontSize}function ActionIconCopyToClipboard($$anchor,$$props){push$1($$props,!1);let ariaLabel=prop($$props,"ariaLabel",8,"Copy to clipboard"),canCopy=prop($$props,"canCopy",8,!0),text2=prop($$props,"text",8);init();{let $0=derived_safe_equal(()=>!canCopy());
+ActionIcon($$anchor,{get icon(){return Copy},get tooltip(){return ariaLabel()},iconSize:"h-4 w-4",get disabled(){return get$3($0)},onclick:()=>canCopy()&&copyToClipboard(text2())})}pop()}var root$1J=from_html("<button><!> <!></button>");function BadgeInfo($$anchor,$$props){let className=prop($$props,"class",3,"");var button=root$1J(),node2=child(button);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);snippet(node_1,()=>$$props.icon),append($$anchor2,fragment)};if_block(
+node2,$$render=>{$$props.icon&&$$render(consequent)})}var node_2=sibling(node2,2);snippet(node_2,()=>$$props.children),reset(button),template_effect(()=>set_class(button,1,clsx(["inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75",className()]))),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor,button)}delegate(["click"]);var root_3$Y=from_html("<!> Vision",1),root_4$E=from_html("<!> Audio",1),root_2$1b=from_html(
+"<span><!></span>");function BadgesModality($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,"");var fragment=comment$2(),node2=first_child(fragment);each(node2,16,()=>$$props.modalities,modality=>modality,($$anchor2,modality)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent_1=$$anchor3=>{var span=root_2$1b(),node_2=child(span);{var consequent=$$anchor4=>{var fragment_2=root_3$Y(),node_3=first_child(fragment_2);Eye(node_3,{class:"h-3 w-3"}),next$1(),
+append($$anchor4,fragment_2)},alternate=$$anchor4=>{var fragment_3=root_4$E(),node_4=first_child(fragment_3);Mic(node_4,{class:"h-3 w-3"}),next$1(),append($$anchor4,fragment_3)};if_block(node_2,$$render=>{modality===ModelModality.VISION?$$render(consequent):$$render(alternate,-1)})}reset(span),template_effect(()=>set_class(span,1,clsx(["inline-flex items-center gap-1 rounded-md bg-muted px-2 py-1 text-xs font-medium",className()]))),append($$anchor3,span)};if_block(node_1,$$render=>{(modality===
+ModelModality.VISION||modality===ModelModality.AUDIO)&&$$render(consequent_1)})}append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_6$w=from_html('<div class="flex flex-wrap items-start justify-end gap-3"></div>'),root_2$1a=from_html("<div><!></div>"),root$1I=from_html("<!> <!> <!>",1);function ChatAttachmentsList($$anchor,$$props){push$1($$props,!0);const attachmentitem=($$anchor2,item=noop$3)=>{ChatAttachmentsListItem($$anchor2,{get imageClass(){return imageClass()},get imageHeight(){
+return imageHeight()},get imageWidth(){return imageWidth()},get item(){return item()},get limitToSingleRow(){return limitToSingleRow()},get onFileRemove(){return $$props.onFileRemove},onMcpResourcePreview:openMcpResourcePreview,onPreview:(i,event2)=>openPreview(i,event2),get readonly(){return readonly2()}})};let className=prop($$props,"class",3,""),style2=prop($$props,"style",3,""),attachments=prop($$props,"attachments",19,()=>[]),readonly2=prop($$props,"readonly",3,!1),uploadedFiles=prop($$props,
+"uploadedFiles",27,()=>proxy([])),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),carouselRef=state$1(void 0),mcpResourcePreviewOpen=state$1(!1),mcpResourcePreviewExtra=state$1(null),previewFocusIndex=state$1(0),viewAllDialogOpen=state$1(!1),displayItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()}));
+function openPreview(item,event2){event2?.stopPropagation(),event2?.preventDefault();const index2=get$3(displayItems).filter(i=>!isMcpPrompt(i)&&!isMcpResource(i)).findIndex(i=>i.id===item.id);set$1(previewFocusIndex,index2>=0?index2:0,!0),set$1(viewAllDialogOpen,!0)}function openMcpResourcePreview(extra){set$1(mcpResourcePreviewExtra,extra,!0),set$1(mcpResourcePreviewOpen,!0)}user_effect(()=>{get$3(carouselRef)&&get$3(displayItems).length&&get$3(carouselRef).resetScroll()});var fragment_1=root$1I(),
+node2=first_child(fragment_1);{var consequent_1=$$anchor2=>{var div=root_2$1a(),node_1=child(div);{var consequent=$$anchor3=>{bind_this(HorizontalScrollCarousel($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);each(node_2,17,()=>get$3(displayItems),item=>item.id,($$anchor5,item)=>{attachmentitem($$anchor5,()=>get$3(item))}),append($$anchor4,fragment_3)},$$slots:{default:!0}}),$$value=>set$1(carouselRef,$$value,!0),()=>get$3(carouselRef))},alternate=$$anchor3=>{
+var div_1=root_6$w();each(div_1,21,()=>get$3(displayItems),item=>item.id,($$anchor4,item)=>{attachmentitem($$anchor4,()=>get$3(item))}),reset(div_1),append($$anchor3,div_1)};if_block(node_1,$$render=>{limitToSingleRow()?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(className())),set_style(div,style2())}),append($$anchor2,div)};if_block(node2,$$render=>{get$3(displayItems).length>0&&$$render(consequent_1)})}var node_3=sibling(node2,2);DialogChatAttachmentsPreview(
+node_3,{get activeModelId(){return $$props.activeModelId},get attachments(){return attachments()},get previewFocusIndex(){return get$3(previewFocusIndex)},get uploadedFiles(){return uploadedFiles()},get open(){return get$3(viewAllDialogOpen)},set open($$value){set$1(viewAllDialogOpen,$$value,!0)}});var node_4=sibling(node_3,2);{var consequent_2=$$anchor2=>{DialogMcpResourcePreview($$anchor2,{get extra(){return get$3(mcpResourcePreviewExtra)},get open(){return get$3(mcpResourcePreviewOpen)},set open($$value){
+set$1(mcpResourcePreviewOpen,$$value,!0)}})};if_block(node_4,$$render=>{get$3(mcpResourcePreviewExtra)&&$$render(consequent_2)})}append($$anchor,fragment_1),pop()}function ChatAttachmentsListItem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),imageClass=prop($$props,"imageClass",3,""),imageHeight=prop($$props,"imageHeight",3,"h-24"),imageWidth=prop($$props,"imageWidth",3,"w-auto"),limitToSingleRow=prop($$props,"limitToSingleRow",3,!1),readonly2=prop($$props,"readon\
+ly",3,!1);const scrollClasses=user_derived(()=>limitToSingleRow()?"first:ml-4 last:mr-4":"");function toMcpResourceAttachment(extra,id2){return{id:id2,resource:{uri:extra.uri,name:extra.name,title:extra.name,serverName:extra.serverName}}}var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{const mcpPrompt=user_derived(()=>$$props.item.attachment?.type===AttachmentType.MCP_PROMPT?$$props.item.attachment:$$props.item.uploadedFile?.mcpPrompt?{type:AttachmentType.MCP_PROMPT,
+name:$$props.item.name,serverName:$$props.item.uploadedFile.mcpPrompt.serverName,promptName:$$props.item.uploadedFile.mcpPrompt.promptName,content:$$props.item.textContent??"",arguments:$$props.item.uploadedFile.mcpPrompt.arguments}:null);var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor3=>{{let $0=user_derived(()=>$$props.onFileRemove?()=>$$props.onFileRemove($$props.item.id):void 0);ChatAttachmentsListItemMcpPrompt($$anchor3,{get class(){return`max-w-[300px] mi\
+n-w-[200px] flex-shrink-0 ${className()??""} ${get$3(scrollClasses)??""}`},get prompt(){return get$3(mcpPrompt)},get readonly(){return readonly2()},get isLoading(){return $$props.item.isLoading},get loadError(){return $$props.item.loadError},get onRemove(){return get$3($0)}})}};if_block(node_1,$$render=>{get$3(mcpPrompt)&&$$render(consequent)})}append($$anchor2,fragment_1)},d2=user_derived(()=>isMcpPrompt($$props.item)),consequent_2=$$anchor2=>{const mcpResource=user_derived(()=>$$props.item.attachment);
+{let $0=user_derived(()=>toMcpResourceAttachment(get$3(mcpResource),$$props.item.id));ChatAttachmentsListItemMcpResource($$anchor2,{get class(){return`flex-shrink-0 ${className()??""} ${get$3(scrollClasses)??""}`},get attachment(){return get$3($0)},onclick:()=>$$props.onMcpResourcePreview?.(get$3(mcpResource))})}},d_12=user_derived(()=>isMcpResource($$props.item)),consequent_3=$$anchor2=>{ChatAttachmentsListItemThumbnailImage($$anchor2,{get class(){return`flex-shrink-0 cursor-pointer ${className()??
+""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get preview(){return $$props.item.preview},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get height(){return imageHeight()},get width(){return imageWidth()},get imageClass(){return imageClass()},onclick:()=>$$props.onPreview?.($$props.item)})},consequent_4=$$anchor2=>{ChatAttachmentsListItemThumbnailFile($$anchor2,{get class(){return`flex-shrink-0 cursor-pointe\
+r ${className()??""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get size(){return $$props.item.size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return $$props.item.textContent},get attachment(){return $$props.item.attachment},get uploadedFile(){return $$props.item.uploadedFile},onclick:()=>$$props.onPreview?.($$props.item)})},d_2=user_derived(()=>isPdfFile$1($$props.item.attachment,$$props.
+item.uploadedFile)),alternate=$$anchor2=>{ChatAttachmentsListItemThumbnailFile($$anchor2,{get class(){return`flex-shrink-0 cursor-pointer ${className()??""} ${get$3(scrollClasses)??""}`},get id(){return $$props.item.id},get name(){return $$props.item.name},get size(){return $$props.item.size},get readonly(){return readonly2()},get onRemove(){return $$props.onFileRemove},get textContent(){return $$props.item.textContent},get attachment(){return $$props.item.attachment},get uploadedFile(){return $$props.
+item.uploadedFile},onclick:()=>$$props.onPreview?.($$props.item)})};if_block(node2,$$render=>{get$3(d2)?$$render(consequent_1):get$3(d_12)?$$render(consequent_2,1):$$props.item.isImage&&$$props.item.preview?$$render(consequent_3,2):get$3(d_2)?$$render(consequent_4,3):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_1$15=from_html('<div class="absolute top-10 right-2 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root$1H=from_html(
+"<div><!> <!></div>");function ChatAttachmentsListItemMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLoading2=prop($$props,"isLoading",3,!1),readonly2=prop($$props,"readonly",3,!1);var div=root$1H(),node2=child(div);ChatMessageMcpPromptContent(node2,{get isLoading(){return isLoading2()},get loadError(){return $$props.loadError},get prompt(){return $$props.prompt},get variant(){return McpPromptVariant.ATTACHMENT}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{
+var div_1=root_1$15(),node_2=child(div_1);ActionIcon(node_2,{get icon(){return X},tooltip:"Remove",stopPropagationOnClick:!0,onclick:()=>$$props.onRemove?.()}),reset(div_1),append($$anchor2,div_1)};if_block(node_1,$$render=>{!readonly2()&&$$props.onRemove&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`group relative ${className()??""}`)),append($$anchor,div),pop()}const NEVER=Object.freeze({status:"aborted"});function $constructor(name,initializer2,params){function init2(inst,def){
+if(inst._zod||Object.defineProperty(inst,"_zod",{value:{def,constr:_,traits:new Set},enumerable:!1}),inst._zod.traits.has(name))return;inst._zod.traits.add(name),initializer2(inst,def);const proto=_.prototype,keys2=Object.keys(proto);for(let i=0;i<keys2.length;i++){const k=keys2[i];k in inst||(inst[k]=proto[k].bind(inst))}}const Parent=params?.Parent??Object;class Definition extends Parent{}Object.defineProperty(Definition,"name",{value:name});function _(def){var _a2;const inst=params?.Parent?new Definition:
+this;init2(inst,def),(_a2=inst._zod).deferred??(_a2.deferred=[]);for(const fn of inst._zod.deferred)fn();return inst}return Object.defineProperty(_,"init",{value:init2}),Object.defineProperty(_,Symbol.hasInstance,{value:inst=>params?.Parent&&inst instanceof params.Parent?!0:inst?._zod?.traits?.has(name)}),Object.defineProperty(_,"name",{value:name}),_}class $ZodAsyncError extends Error{constructor(){super("Encountered Promise during synchronous parse. Use .parseAsync() instead.")}}class $ZodEncodeError extends Error{constructor(name){
+super(`Encountered unidirectional transform during encode: ${name}`),this.name="ZodEncodeError"}}const globalConfig={};function config(newConfig){return globalConfig}function getEnumValues(entries){const numericValues=Object.values(entries).filter(v=>typeof v=="number");return Object.entries(entries).filter(([k,_])=>numericValues.indexOf(+k)===-1).map(([_,v])=>v)}function jsonStringifyReplacer(_,value){return typeof value=="bigint"?value.toString():value}function cached(getter){return{get value(){
+{const value=getter();return Object.defineProperty(this,"value",{value}),value}}}}function nullish(input){return input==null}function cleanRegex(source2){const start2=source2.startsWith("^")?1:0,end=source2.endsWith("$")?source2.length-1:source2.length;return source2.slice(start2,end)}function floatSafeRemainder(val,step){const valDecCount=(val.toString().split(".")[1]||"").length,stepString=step.toString();let stepDecCount=(stepString.split(".")[1]||"").length;if(stepDecCount===0&&/\d?e-\d?/.test(
+stepString)){const match=stepString.match(/\d?e-(\d?)/);match?.[1]&&(stepDecCount=Number.parseInt(match[1]))}const decCount=valDecCount>stepDecCount?valDecCount:stepDecCount,valInt=Number.parseInt(val.toFixed(decCount).replace(".","")),stepInt=Number.parseInt(step.toFixed(decCount).replace(".",""));return valInt%stepInt/10**decCount}const EVALUATING=Symbol("evaluating");function defineLazy(object2,key2,getter){let value;Object.defineProperty(object2,key2,{get(){if(value!==EVALUATING)return value===
+void 0&&(value=EVALUATING,value=getter()),value},set(v){Object.defineProperty(object2,key2,{value:v})},configurable:!0})}function assignProp(target2,prop2,value){Object.defineProperty(target2,prop2,{value,writable:!0,enumerable:!0,configurable:!0})}function mergeDefs(...defs){const mergedDescriptors={};for(const def of defs){const descriptors=Object.getOwnPropertyDescriptors(def);Object.assign(mergedDescriptors,descriptors)}return Object.defineProperties({},mergedDescriptors)}function esc(str){return JSON.
+stringify(str)}function slugify(input){return input.toLowerCase().trim().replace(/[^\w\s-]/g,"").replace(/[\s_-]+/g,"-").replace(/^-+|-+$/g,"")}const captureStackTrace="captureStackTrace"in Error?Error.captureStackTrace:(..._args)=>{};function isObject$1(data){return typeof data=="object"&&data!==null&&!Array.isArray(data)}const allowsEval=cached(()=>{if(typeof navigator<"u"&&navigator?.userAgent?.includes("Cloudflare"))return!1;try{const F=Function;return new F(""),!0}catch{return!1}});function isPlainObject$2(o){
+if(isObject$1(o)===!1)return!1;const ctor=o.constructor;if(ctor===void 0||typeof ctor!="function")return!0;const prot=ctor.prototype;return!(isObject$1(prot)===!1||Object.prototype.hasOwnProperty.call(prot,"isPrototypeOf")===!1)}function shallowClone(o){return isPlainObject$2(o)?{...o}:Array.isArray(o)?[...o]:o}const propertyKeyTypes=new Set(["string","number","symbol"]);function escapeRegex(str){return str.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}function clone(inst,def,params){const cl=new inst._zod.
+constr(def??inst._zod.def);return(!def||params?.parent)&&(cl._zod.parent=inst),cl}function normalizeParams(_params){const params=_params;if(!params)return{};if(typeof params=="string")return{error:()=>params};if(params?.message!==void 0){if(params?.error!==void 0)throw new Error("Cannot specify both `message` and `error` params");params.error=params.message}return delete params.message,typeof params.error=="string"?{...params,error:()=>params.error}:params}function optionalKeys(shape){return Object.
+keys(shape).filter(k=>shape[k]._zod.optin==="optional"&&shape[k]._zod.optout==="optional")}const NUMBER_FORMAT_RANGES={safeint:[Number.MIN_SAFE_INTEGER,Number.MAX_SAFE_INTEGER],int32:[-2147483648,2147483647],uint32:[0,4294967295],float32:[-34028234663852886e22,34028234663852886e22],float64:[-Number.MAX_VALUE,Number.MAX_VALUE]};function pick(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(
+`Unrecognized key: "${key2}"`);mask[key2]&&(newShape[key2]=currDef.shape[key2])}return assignProp(this,"shape",newShape),newShape},checks:[]});return clone(schema,def)}function omit(schema,mask){const currDef=schema._zod.def,def=mergeDefs(schema._zod.def,{get shape(){const newShape={...schema._zod.def.shape};for(const key2 in mask){if(!(key2 in currDef.shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&delete newShape[key2]}return assignProp(this,"shape",newShape),newShape},checks:[]});
+return clone(schema,def)}function extend$2(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to extend: expected a plain object");const checks2=schema._zod.def.checks;if(checks2&&checks2.length>0)throw new Error("Object schemas containing refinements cannot be extended. Use `.safeExtend()` instead.");const def=mergeDefs(schema._zod.def,{get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:[]});return clone(schema,
+def)}function safeExtend(schema,shape){if(!isPlainObject$2(shape))throw new Error("Invalid input to safeExtend: expected a plain object");const def={...schema._zod.def,get shape(){const _shape={...schema._zod.def.shape,...shape};return assignProp(this,"shape",_shape),_shape},checks:schema._zod.def.checks};return clone(schema,def)}function merge$1(a,b){const def=mergeDefs(a._zod.def,{get shape(){const _shape={...a._zod.def.shape,...b._zod.def.shape};return assignProp(this,"shape",_shape),_shape},
+get catchall(){return b._zod.def.catchall},checks:[]});return clone(a,def)}function partial(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in oldShape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):oldShape[key2])}else for(const key2 in oldShape)shape[key2]=Class?new Class({type:"optional",innerType:oldShape[key2]}):
+oldShape[key2];return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function required$4(Class,schema,mask){const def=mergeDefs(schema._zod.def,{get shape(){const oldShape=schema._zod.def.shape,shape={...oldShape};if(mask)for(const key2 in mask){if(!(key2 in shape))throw new Error(`Unrecognized key: "${key2}"`);mask[key2]&&(shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]}))}else for(const key2 in oldShape)shape[key2]=new Class({type:"nonoptional",innerType:oldShape[key2]});
+return assignProp(this,"shape",shape),shape},checks:[]});return clone(schema,def)}function aborted(x,startIndex=0){if(x.aborted===!0)return!0;for(let i=startIndex;i<x.issues.length;i++)if(x.issues[i]?.continue!==!0)return!0;return!1}function prefixIssues(path2,issues){return issues.map(iss=>{var _a2;return(_a2=iss).path??(_a2.path=[]),iss.path.unshift(path2),iss})}function unwrapMessage(message){return typeof message=="string"?message:message?.message}function finalizeIssue(iss,ctx,config2){const full={
+...iss,path:iss.path??[]};if(!iss.message){const message=unwrapMessage(iss.inst?._zod.def?.error?.(iss))??unwrapMessage(ctx?.error?.(iss))??unwrapMessage(config2.customError?.(iss))??unwrapMessage(config2.localeError?.(iss))??"Invalid input";full.message=message}return delete full.inst,delete full.continue,ctx?.reportInput||delete full.input,full}function getLengthableOrigin(input){return Array.isArray(input)?"array":typeof input=="string"?"string":"unknown"}function issue(...args){const[iss,input,
+inst]=args;return typeof iss=="string"?{message:iss,code:"custom",input,inst}:{...iss}}const initializer$1=(inst,def)=>{inst.name="$ZodError",Object.defineProperty(inst,"_zod",{value:inst._zod,enumerable:!1}),Object.defineProperty(inst,"issues",{value:def,enumerable:!1}),inst.message=JSON.stringify(def,jsonStringifyReplacer,2),Object.defineProperty(inst,"toString",{value:()=>inst.message,enumerable:!1})},$ZodError=$constructor("$ZodError",initializer$1),$ZodRealError=$constructor("$ZodError",initializer$1,
+{Parent:Error});function flattenError$1(error2,mapper=issue2=>issue2.message){const fieldErrors={},formErrors=[];for(const sub2 of error2.issues)sub2.path.length>0?(fieldErrors[sub2.path[0]]=fieldErrors[sub2.path[0]]||[],fieldErrors[sub2.path[0]].push(mapper(sub2))):formErrors.push(mapper(sub2));return{formErrors,fieldErrors}}function formatError(error2,mapper=issue2=>issue2.message){const fieldErrors={_errors:[]},processError=error3=>{for(const issue2 of error3.issues)if(issue2.code==="invalid_\
+union"&&issue2.errors.length)issue2.errors.map(issues=>processError({issues}));else if(issue2.code==="invalid_key")processError({issues:issue2.issues});else if(issue2.code==="invalid_element")processError({issues:issue2.issues});else if(issue2.path.length===0)fieldErrors._errors.push(mapper(issue2));else{let curr=fieldErrors,i=0;for(;i<issue2.path.length;){const el=issue2.path[i];i===issue2.path.length-1?(curr[el]=curr[el]||{_errors:[]},curr[el]._errors.push(mapper(issue2))):curr[el]=curr[el]||{
+_errors:[]},curr=curr[el],i++}}};return processError(error2),fieldErrors}const _parse=_Err=>(schema,value,_ctx,_params)=>{const ctx=_ctx?Object.assign(_ctx,{async:!1}):{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError;if(result.issues.length){const e=new(_params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,_params?.callee),e}return result.value},_parseAsync=_Err=>async(schema,value,_ctx,params)=>{
+const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise&&(result=await result),result.issues.length){const e=new(params?.Err??_Err)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())));throw captureStackTrace(e,params?.callee),e}return result.value},_safeParse=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?{..._ctx,async:!1}:{async:!1},result=schema._zod.run({value,issues:[]},ctx);if(result instanceof Promise)throw new $ZodAsyncError;
+return result.issues.length?{success:!1,error:new(_Err??$ZodError)(result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}:{success:!0,data:result.value}},safeParse$2=_safeParse($ZodRealError),_safeParseAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{async:!0}):{async:!0};let result=schema._zod.run({value,issues:[]},ctx);return result instanceof Promise&&(result=await result),result.issues.length?{success:!1,error:new _Err(result.issues.map(iss=>finalizeIssue(iss,ctx,
+config())))}:{success:!0,data:result.value}},safeParseAsync$1=_safeParseAsync($ZodRealError),_encode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parse(_Err)(schema,value,ctx)},_decode=_Err=>(schema,value,_ctx)=>_parse(_Err)(schema,value,_ctx),_encodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _parseAsync(_Err)(schema,value,ctx)},_decodeAsync=_Err=>async(schema,value,_ctx)=>_parseAsync(
+_Err)(schema,value,_ctx),_safeEncode=_Err=>(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParse(_Err)(schema,value,ctx)},_safeDecode=_Err=>(schema,value,_ctx)=>_safeParse(_Err)(schema,value,_ctx),_safeEncodeAsync=_Err=>async(schema,value,_ctx)=>{const ctx=_ctx?Object.assign(_ctx,{direction:"backward"}):{direction:"backward"};return _safeParseAsync(_Err)(schema,value,ctx)},_safeDecodeAsync=_Err=>async(schema,value,_ctx)=>_safeParseAsync(
+_Err)(schema,value,_ctx),cuid=/^[cC][^\s-]{8,}$/,cuid2=/^[0-9a-z]+$/,ulid=/^[0-9A-HJKMNP-TV-Za-hjkmnp-tv-z]{26}$/,xid=/^[0-9a-vA-V]{20}$/,ksuid=/^[A-Za-z0-9]{27}$/,nanoid=/^[a-zA-Z0-9_-]{21}$/,duration$1=/^P(?:(\d+W)|(?!.*W)(?=\d|T\d)(\d+Y)?(\d+M)?(\d+D)?(T(?=\d)(\d+H)?(\d+M)?(\d+([.,]\d+)?S)?)?)$/,guid=/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})$/,uuid=version2=>version2?new RegExp(`^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-${version2}[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]\
+{3}-[0-9a-fA-F]{12})$`):/^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$/,email=/^(?!\.)(?!.*\.\.)([A-Za-z0-9_'+\-\.]*)[A-Za-z0-9_+-]@([A-Za-z0-9][A-Za-z0-9\-]*\.)+[A-Za-z]{2,}$/,_emoji$1="^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$";function emoji(){return new RegExp(_emoji$1,"u")}const ipv4=/^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/,
+ipv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:))$/,cidrv4=/^((25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\/([0-9]|[1-2][0-9]|3[0-2])$/,
+cidrv6=/^(([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}|::|([0-9a-fA-F]{1,4})?::([0-9a-fA-F]{1,4}:?){0,6})\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/,base64=/^$|^(?:[0-9a-zA-Z+/]{4})*(?:(?:[0-9a-zA-Z+/]{2}==)|(?:[0-9a-zA-Z+/]{3}=))?$/,base64url=/^[A-Za-z0-9_-]*$/,e164=/^\+(?:[0-9]){6,14}[0-9]$/,dateSource="(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))",
+date$1=new RegExp(`^${dateSource}$`);function timeSource(args){const hhmm="(?:[01]\\d|2[0-3]):[0-5]\\d";return typeof args.precision=="number"?args.precision===-1?`${hhmm}`:args.precision===0?`${hhmm}:[0-5]\\d`:`${hhmm}:[0-5]\\d\\.\\d{${args.precision}}`:`${hhmm}(?::[0-5]\\d(?:\\.\\d+)?)?`}function time$1(args){return new RegExp(`^${timeSource(args)}$`)}function datetime$1(args){const time2=timeSource({precision:args.precision}),opts=["Z"];args.local&&opts.push(""),args.offset&&opts.push("([+-](\
+?:[01]\\d|2[0-3]):[0-5]\\d)");const timeRegex=`${time2}(?:${opts.join("|")})`;return new RegExp(`^${dateSource}T(?:${timeRegex})$`)}const string$3=params=>{const regex=params?`[\\s\\S]{${params?.minimum??0},${params?.maximum??""}}`:"[\\s\\S]*";return new RegExp(`^${regex}$`)},integer=/^-?\d+$/,number$3=/^-?\d+(?:\.\d+)?/,boolean$2=/^(?:true|false)$/i,_null$2=/^null$/i,lowercase=/^[^A-Z]*$/,uppercase$1=/^[^a-z]*$/,$ZodCheck=$constructor("$ZodCheck",(inst,def)=>{var _a2;inst._zod??(inst._zod={}),inst.
+_zod.def=def,(_a2=inst._zod).onattach??(_a2.onattach=[])}),numericOriginMap={number:"number",bigint:"bigint",object:"date"},$ZodCheckLessThan=$constructor("$ZodCheckLessThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.maximum:bag.exclusiveMaximum)??Number.POSITIVE_INFINITY;def.value<curr&&(def.inclusive?bag.maximum=def.value:bag.exclusiveMaximum=def.value)}),inst._zod.check=
+payload=>{(def.inclusive?payload.value<=def.value:payload.value<def.value)||payload.issues.push({origin:origin2,code:"too_big",maximum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckGreaterThan=$constructor("$ZodCheckGreaterThan",(inst,def)=>{$ZodCheck.init(inst,def);const origin2=numericOriginMap[typeof def.value];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag,curr=(def.inclusive?bag.minimum:bag.exclusiveMinimum)??Number.NEGATIVE_INFINITY;
+def.value>curr&&(def.inclusive?bag.minimum=def.value:bag.exclusiveMinimum=def.value)}),inst._zod.check=payload=>{(def.inclusive?payload.value>=def.value:payload.value>def.value)||payload.issues.push({origin:origin2,code:"too_small",minimum:def.value,input:payload.value,inclusive:def.inclusive,inst,continue:!def.abort})}}),$ZodCheckMultipleOf=$constructor("$ZodCheckMultipleOf",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{var _a2;(_a2=inst2._zod.bag).multipleOf??(_a2.multipleOf=
+def.value)}),inst._zod.check=payload=>{if(typeof payload.value!=typeof def.value)throw new Error("Cannot mix number and bigint in multiple_of check.");(typeof payload.value=="bigint"?payload.value%def.value===BigInt(0):floatSafeRemainder(payload.value,def.value)===0)||payload.issues.push({origin:typeof payload.value,code:"not_multiple_of",divisor:def.value,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckNumberFormat=$constructor("$ZodCheckNumberFormat",(inst,def)=>{$ZodCheck.init(inst,
+def),def.format=def.format||"float64";const isInt=def.format?.includes("int"),origin2=isInt?"int":"number",[minimum,maximum]=NUMBER_FORMAT_RANGES[def.format];inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,bag.minimum=minimum,bag.maximum=maximum,isInt&&(bag.pattern=integer)}),inst._zod.check=payload=>{const input=payload.value;if(isInt){if(!Number.isInteger(input)){payload.issues.push({expected:origin2,format:def.format,code:"invalid_type",continue:!1,input,inst});
+return}if(!Number.isSafeInteger(input)){input>0?payload.issues.push({input,code:"too_big",maximum:Number.MAX_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort}):payload.issues.push({input,code:"too_small",minimum:Number.MIN_SAFE_INTEGER,note:"Integers must be within the safe integer range.",inst,origin:origin2,continue:!def.abort});return}}input<minimum&&payload.issues.push({origin:"number",input,code:"too_small",minimum,inclusive:!0,inst,
+continue:!def.abort}),input>maximum&&payload.issues.push({origin:"number",input,code:"too_big",maximum,inst})}}),$ZodCheckMaxLength=$constructor("$ZodCheckMaxLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.maximum??Number.POSITIVE_INFINITY;def.maximum<curr&&(inst2._zod.bag.maximum=def.maximum)}),inst._zod.check=payload=>{
+const input=payload.value;if(input.length<=def.maximum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_big",maximum:def.maximum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckMinLength=$constructor("$ZodCheckMinLength",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const curr=inst2._zod.bag.minimum??
+Number.NEGATIVE_INFINITY;def.minimum>curr&&(inst2._zod.bag.minimum=def.minimum)}),inst._zod.check=payload=>{const input=payload.value;if(input.length>=def.minimum)return;const origin2=getLengthableOrigin(input);payload.issues.push({origin:origin2,code:"too_small",minimum:def.minimum,inclusive:!0,input,inst,continue:!def.abort})}}),$ZodCheckLengthEquals=$constructor("$ZodCheckLengthEquals",(inst,def)=>{var _a2;$ZodCheck.init(inst,def),(_a2=inst._zod.def).when??(_a2.when=payload=>{const val=payload.
+value;return!nullish(val)&&val.length!==void 0}),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.minimum=def.length,bag.maximum=def.length,bag.length=def.length}),inst._zod.check=payload=>{const input=payload.value,length=input.length;if(length===def.length)return;const origin2=getLengthableOrigin(input),tooBig=length>def.length;payload.issues.push({origin:origin2,...tooBig?{code:"too_big",maximum:def.length}:{code:"too_small",minimum:def.length},inclusive:!0,exact:!0,input:payload.
+value,inst,continue:!def.abort})}}),$ZodCheckStringFormat=$constructor("$ZodCheckStringFormat",(inst,def)=>{var _a2,_b;$ZodCheck.init(inst,def),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.format=def.format,def.pattern&&(bag.patterns??(bag.patterns=new Set),bag.patterns.add(def.pattern))}),def.pattern?(_a2=inst._zod).check??(_a2.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:def.format,input:payload.
+value,...def.pattern?{pattern:def.pattern.toString()}:{},inst,continue:!def.abort})}):(_b=inst._zod).check??(_b.check=()=>{})}),$ZodCheckRegex=$constructor("$ZodCheckRegex",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),inst._zod.check=payload=>{def.pattern.lastIndex=0,!def.pattern.test(payload.value)&&payload.issues.push({origin:"string",code:"invalid_format",format:"regex",input:payload.value,pattern:def.pattern.toString(),inst,continue:!def.abort})}}),$ZodCheckLowerCase=$constructor("$ZodC\
+heckLowerCase",(inst,def)=>{def.pattern??(def.pattern=lowercase),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckUpperCase=$constructor("$ZodCheckUpperCase",(inst,def)=>{def.pattern??(def.pattern=uppercase$1),$ZodCheckStringFormat.init(inst,def)}),$ZodCheckIncludes=$constructor("$ZodCheckIncludes",(inst,def)=>{$ZodCheck.init(inst,def);const escapedRegex=escapeRegex(def.includes),pattern2=new RegExp(typeof def.position=="number"?`^.{${def.position}}${escapedRegex}`:escapedRegex);def.pattern=pattern2,
+inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.includes(def.includes,def.position)||payload.issues.push({origin:"string",code:"invalid_format",format:"includes",includes:def.includes,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckStartsWith=$constructor("$ZodCheckStartsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`^${escapeRegex(def.prefix)}.*`);
+def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.startsWith(def.prefix)||payload.issues.push({origin:"string",code:"invalid_format",format:"starts_with",prefix:def.prefix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckEndsWith=$constructor("$ZodCheckEndsWith",(inst,def)=>{$ZodCheck.init(inst,def);const pattern2=new RegExp(`.*${escapeRegex(
+def.suffix)}$`);def.pattern??(def.pattern=pattern2),inst._zod.onattach.push(inst2=>{const bag=inst2._zod.bag;bag.patterns??(bag.patterns=new Set),bag.patterns.add(pattern2)}),inst._zod.check=payload=>{payload.value.endsWith(def.suffix)||payload.issues.push({origin:"string",code:"invalid_format",format:"ends_with",suffix:def.suffix,input:payload.value,inst,continue:!def.abort})}}),$ZodCheckOverwrite=$constructor("$ZodCheckOverwrite",(inst,def)=>{$ZodCheck.init(inst,def),inst._zod.check=payload=>{
+payload.value=def.tx(payload.value)}});class Doc{constructor(args=[]){this.content=[],this.indent=0,this&&(this.args=args)}indented(fn){this.indent+=1,fn(this),this.indent-=1}write(arg){if(typeof arg=="function"){arg(this,{execution:"sync"}),arg(this,{execution:"async"});return}const lines=arg.split(`
+`).filter(x=>x),minIndent=Math.min(...lines.map(x=>x.length-x.trimStart().length)),dedented=lines.map(x=>x.slice(minIndent)).map(x=>" ".repeat(this.indent*2)+x);for(const line of dedented)this.content.push(line)}compile(){const F=Function,args=this?.args,lines=[...(this?.content??[""]).map(x=>`  ${x}`)];return new F(...args,lines.join(`
+`))}}const version$2={major:4,minor:2,patch:1},$ZodType=$constructor("$ZodType",(inst,def)=>{var _a2;inst??(inst={}),inst._zod.def=def,inst._zod.bag=inst._zod.bag||{},inst._zod.version=version$2;const checks2=[...inst._zod.def.checks??[]];inst._zod.traits.has("$ZodCheck")&&checks2.unshift(inst);for(const ch of checks2)for(const fn of ch._zod.onattach)fn(inst);if(checks2.length===0)(_a2=inst._zod).deferred??(_a2.deferred=[]),inst._zod.deferred?.push(()=>{inst._zod.run=inst._zod.parse});else{const runChecks=(payload,checks3,ctx)=>{
+let isAborted=aborted(payload),asyncResult;for(const ch of checks3){if(ch._zod.def.when){if(!ch._zod.def.when(payload))continue}else if(isAborted)continue;const currLen=payload.issues.length,_=ch._zod.check(payload);if(_ instanceof Promise&&ctx?.async===!1)throw new $ZodAsyncError;if(asyncResult||_ instanceof Promise)asyncResult=(asyncResult??Promise.resolve()).then(async()=>{await _,payload.issues.length!==currLen&&(isAborted||(isAborted=aborted(payload,currLen)))});else{if(payload.issues.length===
+currLen)continue;isAborted||(isAborted=aborted(payload,currLen))}}return asyncResult?asyncResult.then(()=>payload):payload},handleCanaryResult=(canary,payload,ctx)=>{if(aborted(canary))return canary.aborted=!0,canary;const checkResult=runChecks(payload,checks2,ctx);if(checkResult instanceof Promise){if(ctx.async===!1)throw new $ZodAsyncError;return checkResult.then(checkResult2=>inst._zod.parse(checkResult2,ctx))}return inst._zod.parse(checkResult,ctx)};inst._zod.run=(payload,ctx)=>{if(ctx.skipChecks)
+return inst._zod.parse(payload,ctx);if(ctx.direction==="backward"){const canary=inst._zod.parse({value:payload.value,issues:[]},{...ctx,skipChecks:!0});return canary instanceof Promise?canary.then(canary2=>handleCanaryResult(canary2,payload,ctx)):handleCanaryResult(canary,payload,ctx)}const result=inst._zod.parse(payload,ctx);if(result instanceof Promise){if(ctx.async===!1)throw new $ZodAsyncError;return result.then(result2=>runChecks(result2,checks2,ctx))}return runChecks(result,checks2,ctx)}}inst["\
+~standard"]={validate:value=>{try{const r2=safeParse$2(inst,value);return r2.success?{value:r2.data}:{issues:r2.error?.issues}}catch{return safeParseAsync$1(inst,value).then(r2=>r2.success?{value:r2.data}:{issues:r2.error?.issues})}},vendor:"zod",version:1}}),$ZodString=$constructor("$ZodString",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=[...inst?._zod.bag?.patterns??[]].pop()??string$3(inst._zod.bag),inst._zod.parse=(payload,_)=>{if(def.coerce)try{payload.value=String(payload.value)}catch{}
+return typeof payload.value=="string"||payload.issues.push({expected:"string",code:"invalid_type",input:payload.value,inst}),payload}}),$ZodStringFormat=$constructor("$ZodStringFormat",(inst,def)=>{$ZodCheckStringFormat.init(inst,def),$ZodString.init(inst,def)}),$ZodGUID=$constructor("$ZodGUID",(inst,def)=>{def.pattern??(def.pattern=guid),$ZodStringFormat.init(inst,def)}),$ZodUUID=$constructor("$ZodUUID",(inst,def)=>{if(def.version){const v={v1:1,v2:2,v3:3,v4:4,v5:5,v6:6,v7:7,v8:8}[def.version];
+if(v===void 0)throw new Error(`Invalid UUID version: "${def.version}"`);def.pattern??(def.pattern=uuid(v))}else def.pattern??(def.pattern=uuid());$ZodStringFormat.init(inst,def)}),$ZodEmail=$constructor("$ZodEmail",(inst,def)=>{def.pattern??(def.pattern=email),$ZodStringFormat.init(inst,def)}),$ZodURL=$constructor("$ZodURL",(inst,def)=>{$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{try{const trimmed=payload.value.trim(),url2=new URL(trimmed);def.hostname&&(def.hostname.lastIndex=0,def.
+hostname.test(url2.hostname)||payload.issues.push({code:"invalid_format",format:"url",note:"Invalid hostname",pattern:def.hostname.source,input:payload.value,inst,continue:!def.abort})),def.protocol&&(def.protocol.lastIndex=0,def.protocol.test(url2.protocol.endsWith(":")?url2.protocol.slice(0,-1):url2.protocol)||payload.issues.push({code:"invalid_format",format:"url",note:"Invalid protocol",pattern:def.protocol.source,input:payload.value,inst,continue:!def.abort})),def.normalize?payload.value=url2.
+href:payload.value=trimmed;return}catch{payload.issues.push({code:"invalid_format",format:"url",input:payload.value,inst,continue:!def.abort})}}}),$ZodEmoji=$constructor("$ZodEmoji",(inst,def)=>{def.pattern??(def.pattern=emoji()),$ZodStringFormat.init(inst,def)}),$ZodNanoID=$constructor("$ZodNanoID",(inst,def)=>{def.pattern??(def.pattern=nanoid),$ZodStringFormat.init(inst,def)}),$ZodCUID=$constructor("$ZodCUID",(inst,def)=>{def.pattern??(def.pattern=cuid),$ZodStringFormat.init(inst,def)}),$ZodCUID2=$constructor(
+"$ZodCUID2",(inst,def)=>{def.pattern??(def.pattern=cuid2),$ZodStringFormat.init(inst,def)}),$ZodULID=$constructor("$ZodULID",(inst,def)=>{def.pattern??(def.pattern=ulid),$ZodStringFormat.init(inst,def)}),$ZodXID=$constructor("$ZodXID",(inst,def)=>{def.pattern??(def.pattern=xid),$ZodStringFormat.init(inst,def)}),$ZodKSUID=$constructor("$ZodKSUID",(inst,def)=>{def.pattern??(def.pattern=ksuid),$ZodStringFormat.init(inst,def)}),$ZodISODateTime=$constructor("$ZodISODateTime",(inst,def)=>{def.pattern??
+(def.pattern=datetime$1(def)),$ZodStringFormat.init(inst,def)}),$ZodISODate=$constructor("$ZodISODate",(inst,def)=>{def.pattern??(def.pattern=date$1),$ZodStringFormat.init(inst,def)}),$ZodISOTime=$constructor("$ZodISOTime",(inst,def)=>{def.pattern??(def.pattern=time$1(def)),$ZodStringFormat.init(inst,def)}),$ZodISODuration=$constructor("$ZodISODuration",(inst,def)=>{def.pattern??(def.pattern=duration$1),$ZodStringFormat.init(inst,def)}),$ZodIPv4=$constructor("$ZodIPv4",(inst,def)=>{def.pattern??
+(def.pattern=ipv4),$ZodStringFormat.init(inst,def),inst._zod.bag.format="ipv4"}),$ZodIPv6=$constructor("$ZodIPv6",(inst,def)=>{def.pattern??(def.pattern=ipv6),$ZodStringFormat.init(inst,def),inst._zod.bag.format="ipv6",inst._zod.check=payload=>{try{new URL(`http://[${payload.value}]`)}catch{payload.issues.push({code:"invalid_format",format:"ipv6",input:payload.value,inst,continue:!def.abort})}}}),$ZodCIDRv4=$constructor("$ZodCIDRv4",(inst,def)=>{def.pattern??(def.pattern=cidrv4),$ZodStringFormat.
+init(inst,def)}),$ZodCIDRv6=$constructor("$ZodCIDRv6",(inst,def)=>{def.pattern??(def.pattern=cidrv6),$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{const parts=payload.value.split("/");try{if(parts.length!==2)throw new Error;const[address,prefix]=parts;if(!prefix)throw new Error;const prefixNum=Number(prefix);if(`${prefixNum}`!==prefix)throw new Error;if(prefixNum<0||prefixNum>128)throw new Error;new URL(`http://[${address}]`)}catch{payload.issues.push({code:"invalid_format",format:"c\
+idrv6",input:payload.value,inst,continue:!def.abort})}}});function isValidBase64(data){if(data==="")return!0;if(data.length%4!==0)return!1;try{return atob(data),!0}catch{return!1}}const $ZodBase64=$constructor("$ZodBase64",(inst,def)=>{def.pattern??(def.pattern=base64),$ZodStringFormat.init(inst,def),inst._zod.bag.contentEncoding="base64",inst._zod.check=payload=>{isValidBase64(payload.value)||payload.issues.push({code:"invalid_format",format:"base64",input:payload.value,inst,continue:!def.abort})}});
+function isValidBase64URL(data){if(!base64url.test(data))return!1;const base642=data.replace(/[-_]/g,c2=>c2==="-"?"+":"/"),padded=base642.padEnd(Math.ceil(base642.length/4)*4,"=");return isValidBase64(padded)}const $ZodBase64URL=$constructor("$ZodBase64URL",(inst,def)=>{def.pattern??(def.pattern=base64url),$ZodStringFormat.init(inst,def),inst._zod.bag.contentEncoding="base64url",inst._zod.check=payload=>{isValidBase64URL(payload.value)||payload.issues.push({code:"invalid_format",format:"base64ur\
+l",input:payload.value,inst,continue:!def.abort})}}),$ZodE164=$constructor("$ZodE164",(inst,def)=>{def.pattern??(def.pattern=e164),$ZodStringFormat.init(inst,def)});function isValidJWT(token2,algorithm=null){try{const tokensParts=token2.split(".");if(tokensParts.length!==3)return!1;const[header]=tokensParts;if(!header)return!1;const parsedHeader=JSON.parse(atob(header));return!("typ"in parsedHeader&&parsedHeader?.typ!=="JWT"||!parsedHeader.alg||algorithm&&(!("alg"in parsedHeader)||parsedHeader.alg!==
+algorithm))}catch{return!1}}const $ZodJWT=$constructor("$ZodJWT",(inst,def)=>{$ZodStringFormat.init(inst,def),inst._zod.check=payload=>{isValidJWT(payload.value,def.alg)||payload.issues.push({code:"invalid_format",format:"jwt",input:payload.value,inst,continue:!def.abort})}}),$ZodNumber=$constructor("$ZodNumber",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=inst._zod.bag.pattern??number$3,inst._zod.parse=(payload,_ctx)=>{if(def.coerce)try{payload.value=Number(payload.value)}catch{}const input=payload.
+value;if(typeof input=="number"&&!Number.isNaN(input)&&Number.isFinite(input))return payload;const received=typeof input=="number"?Number.isNaN(input)?"NaN":Number.isFinite(input)?void 0:"Infinity":void 0;return payload.issues.push({expected:"number",code:"invalid_type",input,inst,...received?{received}:{}}),payload}}),$ZodNumberFormat=$constructor("$ZodNumberFormat",(inst,def)=>{$ZodCheckNumberFormat.init(inst,def),$ZodNumber.init(inst,def)}),$ZodBoolean=$constructor("$ZodBoolean",(inst,def)=>{
+$ZodType.init(inst,def),inst._zod.pattern=boolean$2,inst._zod.parse=(payload,_ctx)=>{if(def.coerce)try{payload.value=!!payload.value}catch{}const input=payload.value;return typeof input=="boolean"||payload.issues.push({expected:"boolean",code:"invalid_type",input,inst}),payload}}),$ZodNull=$constructor("$ZodNull",(inst,def)=>{$ZodType.init(inst,def),inst._zod.pattern=_null$2,inst._zod.values=new Set([null]),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return input===null||payload.issues.
+push({expected:"null",code:"invalid_type",input,inst}),payload}}),$ZodAny=$constructor("$ZodAny",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=payload=>payload}),$ZodUnknown=$constructor("$ZodUnknown",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=payload=>payload}),$ZodNever=$constructor("$ZodNever",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,_ctx)=>(payload.issues.push({expected:"never",code:"invalid_type",input:payload.value,inst}),payload)});function handleArrayResult(result,final,index2){
+result.issues.length&&final.issues.push(...prefixIssues(index2,result.issues)),final.value[index2]=result.value}const $ZodArray=$constructor("$ZodArray",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!Array.isArray(input))return payload.issues.push({expected:"array",code:"invalid_type",input,inst}),payload;payload.value=Array(input.length);const proms=[];for(let i=0;i<input.length;i++){const item=input[i],result=def.element._zod.run({value:item,
+issues:[]},ctx);result instanceof Promise?proms.push(result.then(result2=>handleArrayResult(result2,payload,i))):handleArrayResult(result,payload,i)}return proms.length?Promise.all(proms).then(()=>payload):payload}});function handlePropertyResult(result,final,key2,input){result.issues.length&&final.issues.push(...prefixIssues(key2,result.issues)),result.value===void 0?key2 in input&&(final.value[key2]=void 0):final.value[key2]=result.value}function normalizeDef(def){const keys2=Object.keys(def.shape);
+for(const k of keys2)if(!def.shape?.[k]?._zod?.traits?.has("$ZodType"))throw new Error(`Invalid element at key "${k}": expected a Zod schema`);const okeys=optionalKeys(def.shape);return{...def,keys:keys2,keySet:new Set(keys2),numKeys:keys2.length,optionalKeys:new Set(okeys)}}function handleCatchall(proms,input,payload,ctx,def,inst){const unrecognized=[],keySet=def.keySet,_catchall=def.catchall._zod,t=_catchall.def.type;for(const key2 in input){if(keySet.has(key2))continue;if(t==="never"){unrecognized.
+push(key2);continue}const r2=_catchall.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return unrecognized.length&&payload.issues.push({code:"unrecognized_keys",keys:unrecognized,input,inst}),proms.length?Promise.all(proms).then(()=>payload):payload}const $ZodObject=$constructor("$ZodObject",(inst,def)=>{if($ZodType.init(inst,def),!Object.getOwnPropertyDescriptor(def,"sha\
+pe")?.get){const sh=def.shape;Object.defineProperty(def,"shape",{get:()=>{const newSh={...sh};return Object.defineProperty(def,"shape",{value:newSh}),newSh}})}const _normalized=cached(()=>normalizeDef(def));defineLazy(inst._zod,"propValues",()=>{const shape=def.shape,propValues={};for(const key2 in shape){const field=shape[key2]._zod;if(field.values){propValues[key2]??(propValues[key2]=new Set);for(const v of field.values)propValues[key2].add(v)}}return propValues});const isObject2=isObject$1,catchall=def.
+catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;if(!isObject2(input))return payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload;payload.value={};const proms=[],shape=value.shape;for(const key2 of value.keys){const r2=shape[key2]._zod.run({value:input[key2],issues:[]},ctx);r2 instanceof Promise?proms.push(r2.then(r3=>handlePropertyResult(r3,payload,key2,input))):handlePropertyResult(r2,payload,key2,input)}return catchall?
+handleCatchall(proms,input,payload,ctx,_normalized.value,inst):proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodObjectJIT=$constructor("$ZodObjectJIT",(inst,def)=>{$ZodObject.init(inst,def);const superParse=inst._zod.parse,_normalized=cached(()=>normalizeDef(def)),generateFastpass=shape=>{const doc=new Doc(["shape","payload","ctx"]),normalized=_normalized.value,parseStr=key2=>{const k=esc(key2);return`shape[${k}]._zod.run({ value: input[${k}], issues: [] }, ctx)`};doc.write("cons\
+t input = payload.value;");const ids=Object.create(null);let counter=0;for(const key2 of normalized.keys)ids[key2]=`key_${counter++}`;doc.write("const newResult = {};");for(const key2 of normalized.keys){const id2=ids[key2],k=esc(key2);doc.write(`const ${id2} = ${parseStr(key2)};`),doc.write(`
+        if (${id2}.issues.length) {
+          payload.issues = payload.issues.concat(${id2}.issues.map(iss => ({
             ...iss,
-            path: iss.path ? [${S}, ...iss.path] : [${S}]
+            path: iss.path ? [${k}, ...iss.path] : [${k}]
           })));
         }
         
         
-        if (${E}.value === undefined) {
-          if (${S} in input) {
-            newResult[${S}] = undefined;
+        if (${id2}.value === undefined) {
+          if (${k} in input) {
+            newResult[${k}] = undefined;
           }
         } else {
-          newResult[${S}] = ${E}.value;
+          newResult[${k}] = ${id2}.value;
         }
         
-      `)}p.write("payload.value = newResult;"),p.write("return payload;");const v=p.compile();return(y,E)=>v(h,y,E)};let i;const s=Nm,o=!T$.jitless,c=o&&mue.value,u=e.catchall;let d;r._zod.parse=(h,p)=>{d??(d=n.value);const m=h.value;return s(m)?o&&c&&p?.async===!1&&p.jitless!==!0?(i||(i=a(e.shape)),h=i(h,p),u?G$([],m,h,p,d,r):h):t(h,p):(h.issues.push({expected:"object",code:"invalid_type",input:m,inst:r}),h)}});function v8(r,e,t,n){for(const i of r)if(i.issues.length===0)return e.value=i.value,e;const a=r.filter(i=>!Kh(i));return a.length===1?(e.value=a[0].value,a[0]):(e.issues.push({code:"invalid_union",input:e.value,inst:t,errors:r.map(i=>i.issues.map(s=>Lu(s,n,Pu())))}),e)}const z$=St("$ZodUnion",(r,e)=>{fa.init(r,e),ta(r._zod,"optin",()=>e.options.some(a=>a._zod.optin==="optional")?"optional":void 0),ta(r._zod,"optout",()=>e.options.some(a=>a._zod.optout==="optional")?"optional":void 0),ta(r._zod,"values",()=>{if(e.options.every(a=>a._zod.values))return new Set(e.options.flatMap(a=>Array.from(a._zod.values)))}),ta(r._zod,"pattern",()=>{if(e.options.every(a=>a._zod.pattern)){const a=e.options.map(i=>i._zod.pattern);return new RegExp(`^(${a.map(i=>N4(i.source)).join("|")})$`)}});const t=e.options.length===1,n=e.options[0]._zod.run;r._zod.parse=(a,i)=>{if(t)return n(a,i);let s=!1;const o=[];for(const l of e.options){const c=l._zod.run({value:a.value,issues:[]},i);if(c instanceof Promise)o.push(c),s=!0;else{if(c.issues.length===0)return c;o.push(c)}}return s?Promise.all(o).then(l=>v8(l,a,r,i)):v8(o,a,r,i)}}),ahe=St("$ZodDiscriminatedUnion",(r,e)=>{e.inclusive=!1,z$.init(r,e);const t=r._zod.parse;ta(r._zod,"propValues",()=>{const a={};for(const i of e.options){const s=i._zod.propValues;if(!s||Object.keys(s).length===0)throw new Error(`Invalid discriminated union option at index "${e.options.indexOf(i)}"`);for(const[o,l]of Object.entries(s)){a[o]||(a[o]=new Set);for(const c of l)a[o].add(c)}}return a});const n=zv(()=>{const a=e.options,i=new Map;for(const s of a){const o=s._zod.propValues?.[e.discriminator];if(!o||o.size===0)throw new Error(`Invalid discriminated union option at index "${e.options.indexOf(s)}"`);for(const l of o){if(i.has(l))throw new Error(`Duplicate discriminator value "${String(l)}"`);i.set(l,s)}}return i});r._zod.parse=(a,i)=>{const s=a.value;if(!Nm(s))return a.issues.push({code:"invalid_type",expected:"object",input:s,inst:r}),a;const o=n.value.get(s?.[e.discriminator]);return o?o._zod.run(a,i):e.unionFallback?t(a,i):(a.issues.push({code:"invalid_union",errors:[],note:"No matching discriminator",discriminator:e.discriminator,input:s,path:[e.discriminator],inst:r}),a)}}),ihe=St("$ZodIntersection",(r,e)=>{fa.init(r,e),r._zod.parse=(t,n)=>{const a=t.value,i=e.left._zod.run({value:a,issues:[]},n),s=e.right._zod.run({value:a,issues:[]},n);return i instanceof Promise||s instanceof Promise?Promise.all([i,s]).then(([l,c])=>y8(t,l,c)):y8(t,i,s)}});function y3(r,e){if(r===e)return{valid:!0,data:r};if(r instanceof Date&&e instanceof Date&&+r==+e)return{valid:!0,data:r};if(Pf(r)&&Pf(e)){const t=Object.keys(e),n=Object.keys(r).filter(i=>t.indexOf(i)!==-1),a={...r,...e};for(const i of n){const s=y3(r[i],e[i]);if(!s.valid)return{valid:!1,mergeErrorPath:[i,...s.mergeErrorPath]};a[i]=s.data}return{valid:!0,data:a}}if(Array.isArray(r)&&Array.isArray(e)){if(r.length!==e.length)return{valid:!1,mergeErrorPath:[]};const t=[];for(let n=0;n<r.length;n++){const a=r[n],i=e[n],s=y3(a,i);if(!s.valid)return{valid:!1,mergeErrorPath:[n,...s.mergeErrorPath]};t.push(s.data)}return{valid:!0,data:t}}return{valid:!1,mergeErrorPath:[]}}function y8(r,e,t){if(e.issues.length&&r.issues.push(...e.issues),t.issues.length&&r.issues.push(...t.issues),Kh(r))return r;const n=y3(e.value,t.value);if(!n.valid)throw new Error(`Unmergable intersection. Error path: ${JSON.stringify(n.mergeErrorPath)}`);return r.value=n.data,r}const she=St("$ZodRecord",(r,e)=>{fa.init(r,e),r._zod.parse=(t,n)=>{const a=t.value;if(!Pf(a))return t.issues.push({expected:"record",code:"invalid_type",input:a,inst:r}),t;const i=[],s=e.keyType._zod.values;if(s){t.value={};const o=new Set;for(const c of s)if(typeof c=="string"||typeof c=="number"||typeof c=="symbol"){o.add(typeof c=="number"?c.toString():c);const u=e.valueType._zod.run({value:a[c],issues:[]},n);u instanceof Promise?i.push(u.then(d=>{d.issues.length&&t.issues.push(...Xh(c,d.issues)),t.value[c]=d.value})):(u.issues.length&&t.issues.push(...Xh(c,u.issues)),t.value[c]=u.value)}let l;for(const c in a)o.has(c)||(l=l??[],l.push(c));l&&l.length>0&&t.issues.push({code:"unrecognized_keys",input:a,inst:r,keys:l})}else{t.value={};for(const o of Reflect.ownKeys(a)){if(o==="__proto__")continue;const l=e.keyType._zod.run({value:o,issues:[]},n);if(l instanceof Promise)throw new Error("Async schemas not supported in object keys currently");if(l.issues.length){e.mode==="loose"?t.value[o]=a[o]:t.issues.push({code:"invalid_key",origin:"record",issues:l.issues.map(u=>Lu(u,n,Pu())),input:o,path:[o],inst:r});continue}const c=e.valueType._zod.run({value:a[o],issues:[]},n);c instanceof Promise?i.push(c.then(u=>{u.issues.length&&t.issues.push(...Xh(o,u.issues)),t.value[l.value]=u.value})):(c.issues.length&&t.issues.push(...Xh(o,c.issues)),t.value[l.value]=c.value)}}return i.length?Promise.all(i).then(()=>t):t}}),ohe=St("$ZodEnum",(r,e)=>{fa.init(r,e);const t=C$(e.entries),n=new Set(t);r._zod.values=n,r._zod.pattern=new RegExp(`^(${t.filter(a=>gue.has(typeof a)).map(a=>typeof a=="string"?Lf(a):a.toString()).join("|")})$`),r._zod.parse=(a,i)=>{const s=a.value;return n.has(s)||a.issues.push({code:"invalid_value",values:t,input:s,inst:r}),a}}),lhe=St("$ZodLiteral",(r,e)=>{if(fa.init(r,e),e.values.length===0)throw new Error("Cannot create literal schema with no valid values");const t=new Set(e.values);r._zod.values=t,r._zod.pattern=new RegExp(`^(${e.values.map(n=>typeof n=="string"?Lf(n):n?Lf(n.toString()):String(n)).join("|")})$`),r._zod.parse=(n,a)=>{const i=n.value;return t.has(i)||n.issues.push({code:"invalid_value",values:e.values,input:i,inst:r}),n}}),che=St("$ZodTransform",(r,e)=>{fa.init(r,e),r._zod.parse=(t,n)=>{if(n.direction==="backward")throw new w$(r.constructor.name);const a=e.transform(t.value,t);if(n.async)return(a instanceof Promise?a:Promise.resolve(a)).then(s=>(t.value=s,t));if(a instanceof Promise)throw new hf;return t.value=a,t}});function S8(r,e){return r.issues.length&&e===void 0?{issues:[],value:void 0}:r}const uhe=St("$ZodOptional",(r,e)=>{fa.init(r,e),r._zod.optin="optional",r._zod.optout="optional",ta(r._zod,"values",()=>e.innerType._zod.values?new Set([...e.innerType._zod.values,void 0]):void 0),ta(r._zod,"pattern",()=>{const t=e.innerType._zod.pattern;return t?new RegExp(`^(${N4(t.source)})?$`):void 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+      `)}doc.write("payload.value = newResult;"),doc.write("return payload;");const fn=doc.compile();return(payload,ctx)=>fn(shape,payload,ctx)};let fastpass;const isObject2=isObject$1,jit=!globalConfig.jitless,fastEnabled=jit&&allowsEval.value,catchall=def.catchall;let value;inst._zod.parse=(payload,ctx)=>{value??(value=_normalized.value);const input=payload.value;return isObject2(input)?jit&&fastEnabled&&ctx?.async===!1&&ctx.jitless!==!0?(fastpass||(fastpass=generateFastpass(def.shape)),payload=
+fastpass(payload,ctx),catchall?handleCatchall([],input,payload,ctx,value,inst):payload):superParse(payload,ctx):(payload.issues.push({expected:"object",code:"invalid_type",input,inst}),payload)}});function handleUnionResults(results,final,inst,ctx){for(const result of results)if(result.issues.length===0)return final.value=result.value,final;const nonaborted=results.filter(r2=>!aborted(r2));return nonaborted.length===1?(final.value=nonaborted[0].value,nonaborted[0]):(final.issues.push({code:"inva\
+lid_union",input:final.value,inst,errors:results.map(result=>result.issues.map(iss=>finalizeIssue(iss,ctx,config())))}),final)}const $ZodUnion=$constructor("$ZodUnion",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.options.some(o=>o._zod.optin==="optional")?"optional":void 0),defineLazy(inst._zod,"optout",()=>def.options.some(o=>o._zod.optout==="optional")?"optional":void 0),defineLazy(inst._zod,"values",()=>{if(def.options.every(o=>o._zod.values))return new Set(def.options.
+flatMap(option2=>Array.from(option2._zod.values)))}),defineLazy(inst._zod,"pattern",()=>{if(def.options.every(o=>o._zod.pattern)){const patterns=def.options.map(o=>o._zod.pattern);return new RegExp(`^(${patterns.map(p2=>cleanRegex(p2.source)).join("|")})$`)}});const single=def.options.length===1,first=def.options[0]._zod.run;inst._zod.parse=(payload,ctx)=>{if(single)return first(payload,ctx);let async=!1;const results=[];for(const option2 of def.options){const result=option2._zod.run({value:payload.
+value,issues:[]},ctx);if(result instanceof Promise)results.push(result),async=!0;else{if(result.issues.length===0)return result;results.push(result)}}return async?Promise.all(results).then(results2=>handleUnionResults(results2,payload,inst,ctx)):handleUnionResults(results,payload,inst,ctx)}}),$ZodDiscriminatedUnion=$constructor("$ZodDiscriminatedUnion",(inst,def)=>{def.inclusive=!1,$ZodUnion.init(inst,def);const _super=inst._zod.parse;defineLazy(inst._zod,"propValues",()=>{const propValues={};for(const option2 of def.
+options){const pv=option2._zod.propValues;if(!pv||Object.keys(pv).length===0)throw new Error(`Invalid discriminated union option at index "${def.options.indexOf(option2)}"`);for(const[k,v]of Object.entries(pv)){propValues[k]||(propValues[k]=new Set);for(const val of v)propValues[k].add(val)}}return propValues});const disc=cached(()=>{const opts=def.options,map2=new Map;for(const o of opts){const values=o._zod.propValues?.[def.discriminator];if(!values||values.size===0)throw new Error(`Invalid di\
+scriminated union option at index "${def.options.indexOf(o)}"`);for(const v of values){if(map2.has(v))throw new Error(`Duplicate discriminator value "${String(v)}"`);map2.set(v,o)}}return map2});inst._zod.parse=(payload,ctx)=>{const input=payload.value;if(!isObject$1(input))return payload.issues.push({code:"invalid_type",expected:"object",input,inst}),payload;const opt=disc.value.get(input?.[def.discriminator]);return opt?opt._zod.run(payload,ctx):def.unionFallback?_super(payload,ctx):(payload.issues.
+push({code:"invalid_union",errors:[],note:"No matching discriminator",discriminator:def.discriminator,input,path:[def.discriminator],inst}),payload)}}),$ZodIntersection=$constructor("$ZodIntersection",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{const input=payload.value,left=def.left._zod.run({value:input,issues:[]},ctx),right=def.right._zod.run({value:input,issues:[]},ctx);return left instanceof Promise||right instanceof Promise?Promise.all([left,right]).then(([left2,right2])=>handleIntersectionResults(
+payload,left2,right2)):handleIntersectionResults(payload,left,right)}});function mergeValues(a,b){if(a===b)return{valid:!0,data:a};if(a instanceof Date&&b instanceof Date&&+a==+b)return{valid:!0,data:a};if(isPlainObject$2(a)&&isPlainObject$2(b)){const bKeys=Object.keys(b),sharedKeys=Object.keys(a).filter(key2=>bKeys.indexOf(key2)!==-1),newObj={...a,...b};for(const key2 of sharedKeys){const sharedValue=mergeValues(a[key2],b[key2]);if(!sharedValue.valid)return{valid:!1,mergeErrorPath:[key2,...sharedValue.
+mergeErrorPath]};newObj[key2]=sharedValue.data}return{valid:!0,data:newObj}}if(Array.isArray(a)&&Array.isArray(b)){if(a.length!==b.length)return{valid:!1,mergeErrorPath:[]};const newArray=[];for(let index2=0;index2<a.length;index2++){const itemA=a[index2],itemB=b[index2],sharedValue=mergeValues(itemA,itemB);if(!sharedValue.valid)return{valid:!1,mergeErrorPath:[index2,...sharedValue.mergeErrorPath]};newArray.push(sharedValue.data)}return{valid:!0,data:newArray}}return{valid:!1,mergeErrorPath:[]}}
+function handleIntersectionResults(result,left,right){if(left.issues.length&&result.issues.push(...left.issues),right.issues.length&&result.issues.push(...right.issues),aborted(result))return result;const merged=mergeValues(left.value,right.value);if(!merged.valid)throw new Error(`Unmergable intersection. Error path: ${JSON.stringify(merged.mergeErrorPath)}`);return result.value=merged.data,result}const $ZodRecord=$constructor("$ZodRecord",(inst,def)=>{$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{
+const input=payload.value;if(!isPlainObject$2(input))return payload.issues.push({expected:"record",code:"invalid_type",input,inst}),payload;const proms=[],values=def.keyType._zod.values;if(values){payload.value={};const recordKeys=new Set;for(const key2 of values)if(typeof key2=="string"||typeof key2=="number"||typeof key2=="symbol"){recordKeys.add(typeof key2=="number"?key2.toString():key2);const result=def.valueType._zod.run({value:input[key2],issues:[]},ctx);result instanceof Promise?proms.push(
+result.then(result2=>{result2.issues.length&&payload.issues.push(...prefixIssues(key2,result2.issues)),payload.value[key2]=result2.value})):(result.issues.length&&payload.issues.push(...prefixIssues(key2,result.issues)),payload.value[key2]=result.value)}let unrecognized;for(const key2 in input)recordKeys.has(key2)||(unrecognized=unrecognized??[],unrecognized.push(key2));unrecognized&&unrecognized.length>0&&payload.issues.push({code:"unrecognized_keys",input,inst,keys:unrecognized})}else{payload.
+value={};for(const key2 of Reflect.ownKeys(input)){if(key2==="__proto__")continue;const keyResult=def.keyType._zod.run({value:key2,issues:[]},ctx);if(keyResult instanceof Promise)throw new Error("Async schemas not supported in object keys currently");if(keyResult.issues.length){def.mode==="loose"?payload.value[key2]=input[key2]:payload.issues.push({code:"invalid_key",origin:"record",issues:keyResult.issues.map(iss=>finalizeIssue(iss,ctx,config())),input:key2,path:[key2],inst});continue}const result=def.
+valueType._zod.run({value:input[key2],issues:[]},ctx);result instanceof Promise?proms.push(result.then(result2=>{result2.issues.length&&payload.issues.push(...prefixIssues(key2,result2.issues)),payload.value[keyResult.value]=result2.value})):(result.issues.length&&payload.issues.push(...prefixIssues(key2,result.issues)),payload.value[keyResult.value]=result.value)}}return proms.length?Promise.all(proms).then(()=>payload):payload}}),$ZodEnum=$constructor("$ZodEnum",(inst,def)=>{$ZodType.init(inst,
+def);const values=getEnumValues(def.entries),valuesSet=new Set(values);inst._zod.values=valuesSet,inst._zod.pattern=new RegExp(`^(${values.filter(k=>propertyKeyTypes.has(typeof k)).map(o=>typeof o=="string"?escapeRegex(o):o.toString()).join("|")})$`),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return valuesSet.has(input)||payload.issues.push({code:"invalid_value",values,input,inst}),payload}}),$ZodLiteral=$constructor("$ZodLiteral",(inst,def)=>{if($ZodType.init(inst,def),def.values.
+length===0)throw new Error("Cannot create literal schema with no valid values");const values=new Set(def.values);inst._zod.values=values,inst._zod.pattern=new RegExp(`^(${def.values.map(o=>typeof o=="string"?escapeRegex(o):o?escapeRegex(o.toString()):String(o)).join("|")})$`),inst._zod.parse=(payload,_ctx)=>{const input=payload.value;return values.has(input)||payload.issues.push({code:"invalid_value",values:def.values,input,inst}),payload}}),$ZodTransform=$constructor("$ZodTransform",(inst,def)=>{
+$ZodType.init(inst,def),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")throw new $ZodEncodeError(inst.constructor.name);const _out=def.transform(payload.value,payload);if(ctx.async)return(_out instanceof Promise?_out:Promise.resolve(_out)).then(output2=>(payload.value=output2,payload));if(_out instanceof Promise)throw new $ZodAsyncError;return payload.value=_out,payload}});function handleOptionalResult(result,input){return result.issues.length&&input===void 0?{issues:[],value:void 0}:
+result}const $ZodOptional=$constructor("$ZodOptional",(inst,def)=>{$ZodType.init(inst,def),inst._zod.optin="optional",inst._zod.optout="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values?new Set([...def.innerType._zod.values,void 0]):void 0),defineLazy(inst._zod,"pattern",()=>{const pattern2=def.innerType._zod.pattern;return pattern2?new RegExp(`^(${cleanRegex(pattern2.source)})?$`):void 0}),inst._zod.parse=(payload,ctx)=>{if(def.innerType._zod.optin==="optional"){const result=def.
+innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(r2=>handleOptionalResult(r2,payload.value)):handleOptionalResult(result,payload.value)}return payload.value===void 0?payload:def.innerType._zod.run(payload,ctx)}}),$ZodNullable=$constructor("$ZodNullable",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.innerType._zod.optin),defineLazy(inst._zod,"optout",()=>def.innerType._zod.optout),defineLazy(inst._zod,"pattern",()=>{const pattern2=def.innerType.
+_zod.pattern;return pattern2?new RegExp(`^(${cleanRegex(pattern2.source)}|null)$`):void 0}),defineLazy(inst._zod,"values",()=>def.innerType._zod.values?new Set([...def.innerType._zod.values,null]):void 0),inst._zod.parse=(payload,ctx)=>payload.value===null?payload:def.innerType._zod.run(payload,ctx)}),$ZodDefault=$constructor("$ZodDefault",(inst,def)=>{$ZodType.init(inst,def),inst._zod.optin="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>{if(ctx.
+direction==="backward")return def.innerType._zod.run(payload,ctx);if(payload.value===void 0)return payload.value=def.defaultValue,payload;const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>handleDefaultResult(result2,def)):handleDefaultResult(result,def)}});function handleDefaultResult(payload,def){return payload.value===void 0&&(payload.value=def.defaultValue),payload}const $ZodPrefault=$constructor("$ZodPrefault",(inst,def)=>{$ZodType.init(inst,
+def),inst._zod.optin="optional",defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>(ctx.direction==="backward"||payload.value===void 0&&(payload.value=def.defaultValue),def.innerType._zod.run(payload,ctx))}),$ZodNonOptional=$constructor("$ZodNonOptional",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"values",()=>{const v=def.innerType._zod.values;return v?new Set([...v].filter(x=>x!==void 0)):void 0}),inst._zod.parse=(payload,ctx)=>{const result=def.
+innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>handleNonOptionalResult(result2,inst)):handleNonOptionalResult(result,inst)}});function handleNonOptionalResult(payload,inst){return!payload.issues.length&&payload.value===void 0&&payload.issues.push({code:"invalid_type",expected:"nonoptional",input:payload.value,inst}),payload}const $ZodCatch=$constructor("$ZodCatch",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"optin",()=>def.innerType._zod.optin),
+defineLazy(inst._zod,"optout",()=>def.innerType._zod.optout),defineLazy(inst._zod,"values",()=>def.innerType._zod.values),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")return def.innerType._zod.run(payload,ctx);const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(result2=>(payload.value=result2.value,result2.issues.length&&(payload.value=def.catchValue({...payload,error:{issues:result2.issues.map(iss=>finalizeIssue(iss,ctx,config()))},input:payload.
+value}),payload.issues=[]),payload)):(payload.value=result.value,result.issues.length&&(payload.value=def.catchValue({...payload,error:{issues:result.issues.map(iss=>finalizeIssue(iss,ctx,config()))},input:payload.value}),payload.issues=[]),payload)}}),$ZodPipe=$constructor("$ZodPipe",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"values",()=>def.in._zod.values),defineLazy(inst._zod,"optin",()=>def.in._zod.optin),defineLazy(inst._zod,"optout",()=>def.out._zod.optout),defineLazy(inst.
+_zod,"propValues",()=>def.in._zod.propValues),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward"){const right=def.out._zod.run(payload,ctx);return right instanceof Promise?right.then(right2=>handlePipeResult(right2,def.in,ctx)):handlePipeResult(right,def.in,ctx)}const left=def.in._zod.run(payload,ctx);return left instanceof Promise?left.then(left2=>handlePipeResult(left2,def.out,ctx)):handlePipeResult(left,def.out,ctx)}});function handlePipeResult(left,next2,ctx){return left.issues.length?
+(left.aborted=!0,left):next2._zod.run({value:left.value,issues:left.issues},ctx)}const $ZodReadonly=$constructor("$ZodReadonly",(inst,def)=>{$ZodType.init(inst,def),defineLazy(inst._zod,"propValues",()=>def.innerType._zod.propValues),defineLazy(inst._zod,"values",()=>def.innerType._zod.values),defineLazy(inst._zod,"optin",()=>def.innerType?._zod?.optin),defineLazy(inst._zod,"optout",()=>def.innerType?._zod?.optout),inst._zod.parse=(payload,ctx)=>{if(ctx.direction==="backward")return def.innerType.
+_zod.run(payload,ctx);const result=def.innerType._zod.run(payload,ctx);return result instanceof Promise?result.then(handleReadonlyResult):handleReadonlyResult(result)}});function handleReadonlyResult(payload){return payload.value=Object.freeze(payload.value),payload}const $ZodCustom=$constructor("$ZodCustom",(inst,def)=>{$ZodCheck.init(inst,def),$ZodType.init(inst,def),inst._zod.parse=(payload,_)=>payload,inst._zod.check=payload=>{const input=payload.value,r2=def.fn(input);if(r2 instanceof Promise)
+return r2.then(r3=>handleRefineResult(r3,payload,input,inst));handleRefineResult(r2,payload,input,inst)}});function handleRefineResult(result,payload,input,inst){if(!result){const _iss={code:"custom",input,inst,path:[...inst._zod.def.path??[]],continue:!inst._zod.def.abort};inst._zod.def.params&&(_iss.params=inst._zod.def.params),payload.issues.push(issue(_iss))}}var _a;class $ZodRegistry{constructor(){this._map=new WeakMap,this._idmap=new Map}add(schema,..._meta){const meta=_meta[0];if(this._map.
+set(schema,meta),meta&&typeof meta=="object"&&"id"in meta){if(this._idmap.has(meta.id))throw new Error(`ID ${meta.id} already exists in the registry`);this._idmap.set(meta.id,schema)}return this}clear(){return this._map=new WeakMap,this._idmap=new Map,this}remove(schema){const meta=this._map.get(schema);return meta&&typeof meta=="object"&&"id"in meta&&this._idmap.delete(meta.id),this._map.delete(schema),this}get(schema){const p2=schema._zod.parent;if(p2){const pm={...this.get(p2)??{}};delete pm.
+id;const f={...pm,...this._map.get(schema)};return Object.keys(f).length?f:void 0}return this._map.get(schema)}has(schema){return this._map.has(schema)}}function registry(){return new $ZodRegistry}(_a=globalThis).__zod_globalRegistry??(_a.__zod_globalRegistry=registry());const globalRegistry=globalThis.__zod_globalRegistry;function _string(Class,params){return new Class({type:"string",...normalizeParams(params)})}function _email(Class,params){return new Class({type:"string",format:"email",check:"\
+string_format",abort:!1,...normalizeParams(params)})}function _guid(Class,params){return new Class({type:"string",format:"guid",check:"string_format",abort:!1,...normalizeParams(params)})}function _uuid(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _uuidv4(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v4",...normalizeParams(params)})}function _uuidv6(Class,params){
+return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v6",...normalizeParams(params)})}function _uuidv7(Class,params){return new Class({type:"string",format:"uuid",check:"string_format",abort:!1,version:"v7",...normalizeParams(params)})}function _url$2(Class,params){return new Class({type:"string",format:"url",check:"string_format",abort:!1,...normalizeParams(params)})}function _emoji(Class,params){return new Class({type:"string",format:"emoji",check:"string_forma\
+t",abort:!1,...normalizeParams(params)})}function _nanoid(Class,params){return new Class({type:"string",format:"nanoid",check:"string_format",abort:!1,...normalizeParams(params)})}function _cuid(Class,params){return new Class({type:"string",format:"cuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _cuid2(Class,params){return new Class({type:"string",format:"cuid2",check:"string_format",abort:!1,...normalizeParams(params)})}function _ulid(Class,params){return new Class({type:"\
+string",format:"ulid",check:"string_format",abort:!1,...normalizeParams(params)})}function _xid(Class,params){return new Class({type:"string",format:"xid",check:"string_format",abort:!1,...normalizeParams(params)})}function _ksuid(Class,params){return new Class({type:"string",format:"ksuid",check:"string_format",abort:!1,...normalizeParams(params)})}function _ipv4(Class,params){return new Class({type:"string",format:"ipv4",check:"string_format",abort:!1,...normalizeParams(params)})}function _ipv6(Class,params){
+return new Class({type:"string",format:"ipv6",check:"string_format",abort:!1,...normalizeParams(params)})}function _cidrv4(Class,params){return new Class({type:"string",format:"cidrv4",check:"string_format",abort:!1,...normalizeParams(params)})}function _cidrv6(Class,params){return new Class({type:"string",format:"cidrv6",check:"string_format",abort:!1,...normalizeParams(params)})}function _base64(Class,params){return new Class({type:"string",format:"base64",check:"string_format",abort:!1,...normalizeParams(
+params)})}function _base64url(Class,params){return new Class({type:"string",format:"base64url",check:"string_format",abort:!1,...normalizeParams(params)})}function _e164(Class,params){return new Class({type:"string",format:"e164",check:"string_format",abort:!1,...normalizeParams(params)})}function _jwt(Class,params){return new Class({type:"string",format:"jwt",check:"string_format",abort:!1,...normalizeParams(params)})}function _isoDateTime(Class,params){return new Class({type:"string",format:"d\
+atetime",check:"string_format",offset:!1,local:!1,precision:null,...normalizeParams(params)})}function _isoDate(Class,params){return new Class({type:"string",format:"date",check:"string_format",...normalizeParams(params)})}function _isoTime(Class,params){return new Class({type:"string",format:"time",check:"string_format",precision:null,...normalizeParams(params)})}function _isoDuration(Class,params){return new Class({type:"string",format:"duration",check:"string_format",...normalizeParams(params)})}
+function _number(Class,params){return new Class({type:"number",checks:[],...normalizeParams(params)})}function _coercedNumber(Class,params){return new Class({type:"number",coerce:!0,checks:[],...normalizeParams(params)})}function _int(Class,params){return new Class({type:"number",check:"number_format",abort:!1,format:"safeint",...normalizeParams(params)})}function _boolean(Class,params){return new Class({type:"boolean",...normalizeParams(params)})}function _null$1(Class,params){return new Class(
+{type:"null",...normalizeParams(params)})}function _any(Class){return new Class({type:"any"})}function _unknown(Class){return new Class({type:"unknown"})}function _never(Class,params){return new Class({type:"never",...normalizeParams(params)})}function _lt(value,params){return new $ZodCheckLessThan({check:"less_than",...normalizeParams(params),value,inclusive:!1})}function _lte(value,params){return new $ZodCheckLessThan({check:"less_than",...normalizeParams(params),value,inclusive:!0})}function _gt(value,params){
+return new $ZodCheckGreaterThan({check:"greater_than",...normalizeParams(params),value,inclusive:!1})}function _gte(value,params){return new $ZodCheckGreaterThan({check:"greater_than",...normalizeParams(params),value,inclusive:!0})}function _multipleOf(value,params){return new $ZodCheckMultipleOf({check:"multiple_of",...normalizeParams(params),value})}function _maxLength(maximum,params){return new $ZodCheckMaxLength({check:"max_length",...normalizeParams(params),maximum})}function _minLength(minimum,params){
+return new $ZodCheckMinLength({check:"min_length",...normalizeParams(params),minimum})}function _length(length,params){return new $ZodCheckLengthEquals({check:"length_equals",...normalizeParams(params),length})}function _regex(pattern2,params){return new $ZodCheckRegex({check:"string_format",format:"regex",...normalizeParams(params),pattern:pattern2})}function _lowercase(params){return new $ZodCheckLowerCase({check:"string_format",format:"lowercase",...normalizeParams(params)})}function _uppercase(params){
+return new $ZodCheckUpperCase({check:"string_format",format:"uppercase",...normalizeParams(params)})}function _includes(includes2,params){return new $ZodCheckIncludes({check:"string_format",format:"includes",...normalizeParams(params),includes:includes2})}function _startsWith(prefix,params){return new $ZodCheckStartsWith({check:"string_format",format:"starts_with",...normalizeParams(params),prefix})}function _endsWith(suffix,params){return new $ZodCheckEndsWith({check:"string_format",format:"end\
+s_with",...normalizeParams(params),suffix})}function _overwrite(tx){return new $ZodCheckOverwrite({check:"overwrite",tx})}function _normalize(form){return _overwrite(input=>input.normalize(form))}function _trim(){return _overwrite(input=>input.trim())}function _toLowerCase(){return _overwrite(input=>input.toLowerCase())}function _toUpperCase(){return _overwrite(input=>input.toUpperCase())}function _slugify(){return _overwrite(input=>slugify(input))}function _array(Class,element2,params){return new Class(
+{type:"array",element:element2,...normalizeParams(params)})}function _custom(Class,fn,_params){const norm=normalizeParams(_params);return norm.abort??(norm.abort=!0),new Class({type:"custom",check:"custom",fn,...norm})}function _refine(Class,fn,_params){return new Class({type:"custom",check:"custom",fn,...normalizeParams(_params)})}function _superRefine(fn){const ch=_check(payload=>(payload.addIssue=issue$1=>{if(typeof issue$1=="string")payload.issues.push(issue(issue$1,payload.value,ch._zod.def));else{
+const _issue=issue$1;_issue.fatal&&(_issue.continue=!1),_issue.code??(_issue.code="custom"),_issue.input??(_issue.input=payload.value),_issue.inst??(_issue.inst=ch),_issue.continue??(_issue.continue=!ch._zod.def.abort),payload.issues.push(issue(_issue))}},fn(payload.value,payload)));return ch}function _check(fn,params){const ch=new $ZodCheck({check:"custom",...normalizeParams(params)});return ch._zod.check=fn,ch}function initializeContext(params){let target2=params?.target??"draft-2020-12";return target2===
+"draft-4"&&(target2="draft-04"),target2==="draft-7"&&(target2="draft-07"),{processors:params.processors??{},metadataRegistry:params?.metadata??globalRegistry,target:target2,unrepresentable:params?.unrepresentable??"throw",override:params?.override??(()=>{}),io:params?.io??"output",counter:0,seen:new Map,cycles:params?.cycles??"ref",reused:params?.reused??"inline",external:params?.external??void 0}}function process$1(schema,ctx,_params={path:[],schemaPath:[]}){var _a2;const def=schema._zod.def,seen2=ctx.
+seen.get(schema);if(seen2)return seen2.count++,_params.schemaPath.includes(schema)&&(seen2.cycle=_params.path),seen2.schema;const result={schema:{},count:1,cycle:void 0,path:_params.path};ctx.seen.set(schema,result);const overrideSchema=schema._zod.toJSONSchema?.();if(overrideSchema)result.schema=overrideSchema;else{const params={..._params,schemaPath:[..._params.schemaPath,schema],path:_params.path},parent=schema._zod.parent;if(parent)result.ref=parent,process$1(parent,ctx,params),ctx.seen.get(
+parent).isParent=!0;else if(schema._zod.processJSONSchema)schema._zod.processJSONSchema(ctx,result.schema,params);else{const _json=result.schema,processor=ctx.processors[def.type];if(!processor)throw new Error(`[toJSONSchema]: Non-representable type encountered: ${def.type}`);processor(schema,ctx,_json,params)}}const meta=ctx.metadataRegistry.get(schema);return meta&&Object.assign(result.schema,meta),ctx.io==="input"&&isTransforming(schema)&&(delete result.schema.examples,delete result.schema.default),
+ctx.io==="input"&&result.schema._prefault&&((_a2=result.schema).default??(_a2.default=result.schema._prefault)),delete result.schema._prefault,ctx.seen.get(schema).schema}function extractDefs(ctx,schema){const root2=ctx.seen.get(schema);if(!root2)throw new Error("Unprocessed schema. This is a bug in Zod.");const makeURI=entry=>{const defsSegment=ctx.target==="draft-2020-12"?"$defs":"definitions";if(ctx.external){const externalId=ctx.external.registry.get(entry[0])?.id,uriGenerator=ctx.external.uri??
+(id3=>id3);if(externalId)return{ref:uriGenerator(externalId)};const id2=entry[1].defId??entry[1].schema.id??`schema${ctx.counter++}`;return entry[1].defId=id2,{defId:id2,ref:`${uriGenerator("__shared")}#/${defsSegment}/${id2}`}}if(entry[1]===root2)return{ref:"#"};const defUriPrefix=`#/${defsSegment}/`,defId=entry[1].schema.id??`__schema${ctx.counter++}`;return{defId,ref:defUriPrefix+defId}},extractToDef=entry=>{if(entry[1].schema.$ref)return;const seen2=entry[1],{ref:ref2,defId}=makeURI(entry);seen2.
+def={...seen2.schema},defId&&(seen2.defId=defId);const schema2=seen2.schema;for(const key2 in schema2)delete schema2[key2];schema2.$ref=ref2};if(ctx.cycles==="throw")for(const entry of ctx.seen.entries()){const seen2=entry[1];if(seen2.cycle)throw new Error(`Cycle detected: #/${seen2.cycle?.join("/")}/<root>
 
-Set the \`cycles\` parameter to \`"ref"\` to resolve cyclical schemas with defs.`)}for(const i of r.seen.entries()){const s=i[1];if(e===i[0]){a(i);continue}if(r.external){const l=r.external.registry.get(i[0])?.id;if(e!==i[0]&&l){a(i);continue}}if(r.metadataRegistry.get(i[0])?.id){a(i);continue}if(s.cycle){a(i);continue}if(s.count>1&&r.reused==="ref"){a(i);continue}}}function j$(r,e){const t=r.seen.get(e);if(!t)throw new Error("Unprocessed schema. This is a bug in Zod.");const n=s=>{const o=r.seen.get(s),l=o.def??o.schema,c={...l};if(o.ref===null)return;const u=o.ref;if(o.ref=null,u){n(u);const d=r.seen.get(u).schema;d.$ref&&(r.target==="draft-07"||r.target==="draft-04"||r.target==="openapi-3.0")?(l.allOf=l.allOf??[],l.allOf.push(d)):(Object.assign(l,d),Object.assign(l,c))}o.isParent||r.override({zodSchema:s,jsonSchema:l,path:o.path??[]})};for(const s of[...r.seen.entries()].reverse())n(s[0]);const a={};if(r.target==="draft-2020-12"?a.$schema="https://json-schema.org/draft/2020-12/schema":r.target==="draft-07"?a.$schema="http://json-schema.org/draft-07/schema#":r.target==="draft-04"?a.$schema="http://json-schema.org/draft-04/schema#":r.target,r.external?.uri){const s=r.external.registry.get(e)?.id;if(!s)throw new Error("Schema is missing an `id` property");a.$id=r.external.uri(s)}Object.assign(a,t.def??t.schema);const i=r.external?.defs??{};for(const s of r.seen.entries()){const o=s[1];o.def&&o.defId&&(i[o.defId]=o.def)}r.external||Object.keys(i).length>0&&(r.target==="draft-2020-12"?a.$defs=i:a.definitions=i);try{const s=JSON.parse(JSON.stringify(a));return Object.defineProperty(s,"~standard",{value:{...e["~standard"],jsonSchema:{input:gb(e,"input"),output:gb(e,"output")}},enumerable:!1,writable:!1}),s}catch{throw new Error("Error converting schema to JSON.")}}function Qi(r,e){const t=e??{seen:new Set};if(t.seen.has(r))return!1;t.seen.add(r);const n=r._zod.def;if(n.type==="transform")return!0;if(n.type==="array")return Qi(n.element,t);if(n.type==="set")return Qi(n.valueType,t);if(n.type==="lazy")return Qi(n.getter(),t);if(n.type==="promise"||n.type==="optional"||n.type==="nonoptional"||n.type==="nullable"||n.type==="readonly"||n.type==="default"||n.type==="prefault")return Qi(n.innerType,t);if(n.type==="intersection")return Qi(n.left,t)||Qi(n.right,t);if(n.type==="record"||n.type==="map")return Qi(n.keyType,t)||Qi(n.valueType,t);if(n.type==="pipe")return 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eG=St("ZodObject",(r,e)=>{nhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Nfe(r,t,n,a),ta(r,"shape",()=>e.shape),r.keyof=()=>uo(Object.keys(r._zod.def.shape)),r.catchall=t=>r.clone({...r._zod.def,catchall:t}),r.passthrough=()=>r.clone({...r._zod.def,catchall:Aa()}),r.loose=()=>r.clone({...r._zod.def,catchall:Aa()}),r.strict=()=>r.clone({...r._zod.def,catchall:Dpe()}),r.strip=()=>r.clone({...r._zod.def,catchall:void 0}),r.extend=t=>Sue(r,t),r.safeExtend=t=>Eue(r,t),r.merge=t=>wue(r,t),r.pick=t=>vue(r,t),r.omit=t=>yue(r,t),r.partial=(...t)=>Tue(aG,r,t[0]),r.required=(...t)=>Cue(iG,r,t[0])});function cr(r,e){const t={type:"object",shape:r??{},...Rr(e)};return new eG(t)}function Ii(r,e){return new eG({type:"object",shape:r,catchall:Aa(),...Rr(e)})}const tG=St("ZodUnion",(r,e)=>{z$.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Ife(r,t,n,a),r.options=e.options});function pa(r,e){return new tG({type:"union",options:r,...Rr(e)})}const Lpe=St("ZodDiscriminatedUnion",(r,e)=>{tG.init(r,e),ahe.init(r,e)});function rG(r,e,t){return new Lpe({type:"union",options:e,discriminator:r,...Rr(t)})}const Fpe=St("ZodIntersection",(r,e)=>{ihe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>kfe(r,t,n,a)});function L4(r,e){return new Fpe({type:"intersection",left:r,right:e})}const Bpe=St("ZodRecord",(r,e)=>{she.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Mfe(r,t,n,a),r.keyType=e.keyType,r.valueType=e.valueType});function xa(r,e,t){return new Bpe({type:"record",keyType:r,valueType:e,...Rr(t)})}const S3=St("ZodEnum",(r,e)=>{ohe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(n,a,i)=>Cfe(r,n,a),r.enum=e.entries,r.options=Object.values(e.entries);const t=new Set(Object.keys(e.entries));r.extract=(n,a)=>{const i={};for(const s of n)if(t.has(s))i[s]=e.entries[s];else throw new Error(`Key ${s} not found in enum`);return new S3({...e,checks:[],...Rr(a),entries:i})},r.exclude=(n,a)=>{const i={...e.entries};for(const s 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Gpe=St("ZodNullable",(r,e)=>{dhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Dfe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType});function M8(r){return new Gpe({type:"nullable",innerType:r})}const zpe=St("ZodDefault",(r,e)=>{hhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Lfe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType,r.removeDefault=r.unwrap});function qpe(r,e){return new zpe({type:"default",innerType:r,get defaultValue(){return typeof e=="function"?e():x$(e)}})}const Hpe=St("ZodPrefault",(r,e)=>{fhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Ffe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType});function Vpe(r,e){return new Hpe({type:"prefault",innerType:r,get defaultValue(){return typeof e=="function"?e():x$(e)}})}const iG=St("ZodNonOptional",(r,e)=>{phe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Pfe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType});function Ype(r,e){return new iG({type:"nonoptional",innerType:r,...Rr(e)})}const Wpe=St("ZodCatch",(r,e)=>{mhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Bfe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType,r.removeCatch=r.unwrap});function jpe(r,e){return new Wpe({type:"catch",innerType:r,catchValue:typeof e=="function"?e:()=>e})}const Kpe=St("ZodPipe",(r,e)=>{ghe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>Ufe(r,t,n,a),r.in=e.in,r.out=e.out});function E3(r,e){return new Kpe({type:"pipe",in:r,out:e})}const Xpe=St("ZodReadonly",(r,e)=>{_he.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>$fe(r,t,n,a),r.unwrap=()=>r._zod.def.innerType});function Qpe(r){return new Xpe({type:"readonly",innerType:r})}const sG=St("ZodCustom",(r,e)=>{bhe.init(r,e),ya.init(r,e),r._zod.processJSONSchema=(t,n,a)=>xfe(r,t)});function Zpe(r,e){return hfe(sG,r??(()=>!0),e)}function Jpe(r,e={}){return ffe(sG,r,e)}function eme(r){return pfe(r)}function oG(r,e){return E3(nG(r),e)}const tme={custom:"custom"};function rme(r){return Whe(P4,r)}const Wv="2025-11-25",nme=[Wv,"2025-06-18","2025-03-26","2024-11-05","2024-10-07"],Od="io.modelcontextprotocol/related-task",jv="2.0",ki=Zpe(r=>r!==null&&(typeof r=="object"||typeof r=="function")),lG=pa([qe(),Yn().int()]),cG=qe();Ii({ttl:pa([Yn(),J$()]).optional(),pollInterval:Yn().optional()});const ame=cr({ttl:Yn().optional()}),ime=cr({taskId:qe()}),F4=Ii({progressToken:lG.optional(),[Od]:ime.optional()}),ho=cr({_meta:F4.optional()}),pg=ho.extend({task:ame.optional()}),sme=r=>pg.safeParse(r).success,Pi=cr({method:qe(),params:ho.loose().optional()}),Lo=cr({_meta:F4.optional()}),Fo=cr({method:qe(),params:Lo.loose().optional()}),Li=Ii({_meta:F4.optional()}),Kv=pa([qe(),Yn().int()]),uG=cr({jsonrpc:Mr(jv),id:Kv,...Pi.shape}).strict(),w3=r=>uG.safeParse(r).success,dG=cr({jsonrpc:Mr(jv),...Fo.shape}).strict(),ome=r=>dG.safeParse(r).success,B4=cr({jsonrpc:Mr(jv),id:Kv,result:Li}).strict(),Wp=r=>B4.safeParse(r).success;var Qr;(function(r){r[r.ConnectionClosed=-32e3]="ConnectionClosed",r[r.RequestTimeout=-32001]="RequestTimeout",r[r.ParseError=-32700]="ParseError",r[r.InvalidRequest=-32600]="InvalidRequest",r[r.MethodNotFound=-32601]="MethodNotFound",r[r.InvalidParams=-32602]="InvalidParams",r[r.InternalError=-32603]="InternalError",r[r.UrlElicitationRequired=-32042]="UrlElicitationRequired"})(Qr||(Qr={}));const U4=cr({jsonrpc:Mr(jv),id:Kv.optional(),error:cr({code:Yn().int(),message:qe(),data:Aa().optional()})}).strict(),lme=r=>U4.safeParse(r).success,im=pa([uG,dG,B4,U4]);pa([B4,U4]);const Qh=Li.strict(),cme=Lo.extend({requestId:Kv.optional(),reason:qe().optional()}),$4=Fo.extend({method:Mr("notifications/cancelled"),params:cme}),ume=cr({src:qe(),mimeType:qe().optional(),sizes:or(qe()).optional(),theme:uo(["light","dark"]).optional()}),mg=cr({icons:or(ume).optional()}),Ff=cr({name:qe(),title:qe().optional()}),hG=Ff.extend({...Ff.shape,...mg.shape,version:qe(),websiteUrl:qe().optional(),description:qe().optional()}),dme=L4(cr({applyDefaults:ha().optional()}),xa(qe(),Aa())),hme=oG(r=>r&&typeof r=="object"&&!Array.isArray(r)&&Object.keys(r).length===0?{form:{}}:r,L4(cr({form:dme.optional(),url:ki.optional()}),xa(qe(),Aa()).optional())),fme=Ii({list:ki.optional(),cancel:ki.optional(),requests:Ii({sampling:Ii({createMessage:ki.optional()}).optional(),elicitation:Ii({create:ki.optional()}).optional()}).optional()}),pme=Ii({list:ki.optional(),cancel:ki.optional(),requests:Ii({tools:Ii({call:ki.optional()}).optional()}).optional()}),mme=cr({experimental:xa(qe(),ki).optional(),sampling:cr({context:ki.optional(),tools:ki.optional()}).optional(),elicitation:hme.optional(),roots:cr({listChanged:ha().optional()}).optional(),tasks:fme.optional()}),gme=ho.extend({protocolVersion:qe(),capabilities:mme,clientInfo:hG}),_me=Pi.extend({method:Mr("initialize"),params:gme}),bme=cr({experimental:xa(qe(),ki).optional(),logging:ki.optional(),completions:ki.optional(),prompts:cr({listChanged:ha().optional()}).optional(),resources:cr({subscribe:ha().optional(),listChanged:ha().optional()}).optional(),tools:cr({listChanged:ha().optional()}).optional(),tasks:pme.optional()}),fG=Li.extend({protocolVersion:qe(),capabilities:bme,serverInfo:hG,instructions:qe().optional()}),pG=Fo.extend({method:Mr("notifications/initialized"),params:Lo.optional()}),vme=r=>pG.safeParse(r).success,G4=Pi.extend({method:Mr("ping"),params:ho.optional()}),yme=cr({progress:Yn(),total:Ia(Yn()),message:Ia(qe())}),Sme=cr({...Lo.shape,...yme.shape,progressToken:lG}),z4=Fo.extend({method:Mr("notifications/progress"),params:Sme}),Eme=ho.extend({cursor:cG.optional()}),gg=Pi.extend({params:Eme.optional()}),_g=Li.extend({nextCursor:cG.optional()}),wme=uo(["working","input_required","completed","failed","cancelled"]),bg=cr({taskId:qe(),status:wme,ttl:pa([Yn(),J$()]),createdAt:qe(),lastUpdatedAt:qe(),pollInterval:Ia(Yn()),statusMessage:Ia(qe())}),km=Li.extend({task:bg}),Tme=Lo.merge(bg),_b=Fo.extend({method:Mr("notifications/tasks/status"),params:Tme}),q4=Pi.extend({method:Mr("tasks/get"),params:ho.extend({taskId:qe()})}),H4=Li.merge(bg),V4=Pi.extend({method:Mr("tasks/result"),params:ho.extend({taskId:qe()})});Li.loose();const Y4=gg.extend({method:Mr("tasks/list")}),W4=_g.extend({tasks:or(bg)}),j4=Pi.extend({method:Mr("tasks/cancel"),params:ho.extend({taskId:qe()})}),Cme=Li.merge(bg),mG=cr({uri:qe(),mimeType:Ia(qe()),_meta:xa(qe(),Aa()).optional()}),gG=mG.extend({text:qe()}),K4=qe().refine(r=>{try{return atob(r),!0}catch{return!1}},{message:"Invalid Base64 string"}),_G=mG.extend({blob:K4}),vg=uo(["user","assistant"]),rp=cr({audience:or(vg).optional(),priority:Yn().min(0).max(1).optional(),lastModified:X$({offset:!0}).optional()}),bG=cr({...Ff.shape,...mg.shape,uri:qe(),description:Ia(qe()),mimeType:Ia(qe()),annotations:rp.optional(),_meta:Ia(Ii({}))}),Ame=cr({...Ff.shape,...mg.shape,uriTemplate:qe(),description:Ia(qe()),mimeType:Ia(qe()),annotations:rp.optional(),_meta:Ia(Ii({}))}),xme=gg.extend({method:Mr("resources/list")}),vG=_g.extend({resources:or(bG)}),Rme=gg.extend({method:Mr("resources/templates/list")}),yG=_g.extend({resourceTemplates:or(Ame)}),X4=ho.extend({uri:qe()}),Ome=X4,Nme=Pi.extend({method:Mr("resources/read"),params:Ome}),SG=Li.extend({contents:or(pa([gG,_G]))}),EG=Fo.extend({method:Mr("notifications/resources/list_changed"),params:Lo.optional()}),Ime=X4,kme=Pi.extend({method:Mr("resources/subscribe"),params:Ime}),Mme=X4,Dme=Pi.extend({method:Mr("resources/unsubscribe"),params:Mme}),Pme=Lo.extend({uri:qe()}),Lme=Fo.extend({method:Mr("notifications/resources/updated"),params:Pme}),Fme=cr({name:qe(),description:Ia(qe()),required:Ia(ha())}),Bme=cr({...Ff.shape,...mg.shape,description:Ia(qe()),arguments:Ia(or(Fme)),_meta:Ia(Ii({}))}),Ume=gg.extend({method:Mr("prompts/list")}),wG=_g.extend({prompts:or(Bme)}),$me=ho.extend({name:qe(),arguments:xa(qe(),qe()).optional()}),Gme=Pi.extend({method:Mr("prompts/get"),params:$me}),Q4=cr({type:Mr("text"),text:qe(),annotations:rp.optional(),_meta:xa(qe(),Aa()).optional()}),Z4=cr({type:Mr("image"),data:K4,mimeType:qe(),annotations:rp.optional(),_meta:xa(qe(),Aa()).optional()}),J4=cr({type:Mr("audio"),data:K4,mimeType:qe(),annotations:rp.optional(),_meta:xa(qe(),Aa()).optional()}),zme=cr({type:Mr("tool_use"),name:qe(),id:qe(),input:xa(qe(),Aa()),_meta:xa(qe(),Aa()).optional()}),qme=cr({type:Mr("resource"),resource:pa([gG,_G]),annotations:rp.optional(),_meta:xa(qe(),Aa()).optional()}),Hme=bG.extend({type:Mr("resource_link")}),ex=pa([Q4,Z4,J4,Hme,qme]),Vme=cr({role:vg,content:ex}),TG=Li.extend({description:qe().optional(),messages:or(Vme)}),CG=Fo.extend({method:Mr("notifications/prompts/list_changed"),params:Lo.optional()}),Yme=cr({title:qe().optional(),readOnlyHint:ha().optional(),destructiveHint:ha().optional(),idempotentHint:ha().optional(),openWorldHint:ha().optional()}),Wme=cr({taskSupport:uo(["required","optional","forbidden"]).optional()}),AG=cr({...Ff.shape,...mg.shape,description:qe().optional(),inputSchema:cr({type:Mr("object"),properties:xa(qe(),ki).optional(),required:or(qe()).optional()}).catchall(Aa()),outputSchema:cr({type:Mr("object"),properties:xa(qe(),ki).optional(),required:or(qe()).optional()}).catchall(Aa()).optional(),annotations:Yme.optional(),execution:Wme.optional(),_meta:xa(qe(),Aa()).optional()}),jme=gg.extend({method:Mr("tools/list")}),xG=_g.extend({tools:or(AG)}),Xv=Li.extend({content:or(ex).default([]),structuredContent:xa(qe(),Aa()).optional(),isError:ha().optional()});Xv.or(Li.extend({toolResult:Aa()}));const Kme=pg.extend({name:qe(),arguments:xa(qe(),Aa()).optional()}),Xme=Pi.extend({method:Mr("tools/call"),params:Kme}),RG=Fo.extend({method:Mr("notifications/tools/list_changed"),params:Lo.optional()}),Qme=cr({autoRefresh:ha().default(!0),debounceMs:Yn().int().nonnegative().default(300)}),OG=uo(["debug","info","notice","warning","error","critical","alert","emergency"]),Zme=ho.extend({level:OG}),Jme=Pi.extend({method:Mr("logging/setLevel"),params:Zme}),ege=Lo.extend({level:OG,logger:qe().optional(),data:Aa()}),tge=Fo.extend({method:Mr("notifications/message"),params:ege}),rge=cr({name:qe().optional()}),nge=cr({hints:or(rge).optional(),costPriority:Yn().min(0).max(1).optional(),speedPriority:Yn().min(0).max(1).optional(),intelligencePriority:Yn().min(0).max(1).optional()}),age=cr({mode:uo(["auto","required","none"]).optional()}),ige=cr({type:Mr("tool_result"),toolUseId:qe().describe("The unique identifier for the corresponding tool call."),content:or(ex).default([]),structuredContent:cr({}).loose().optional(),isError:ha().optional(),_meta:xa(qe(),Aa()).optional()}),sge=rG("type",[Q4,Z4,J4]),bb=rG("type",[Q4,Z4,J4,zme,ige]),oge=cr({role:vg,content:pa([bb,or(bb)]),_meta:xa(qe(),Aa()).optional()}),lge=pg.extend({messages:or(oge),modelPreferences:nge.optional(),systemPrompt:qe().optional(),includeContext:uo(["none","thisServer","allServers"]).optional(),temperature:Yn().optional(),maxTokens:Yn().int(),stopSequences:or(qe()).optional(),metadata:ki.optional(),tools:or(AG).optional(),toolChoice:age.optional()}),NG=Pi.extend({method:Mr("sampling/createMessage"),params:lge}),IG=Li.extend({model:qe(),stopReason:Ia(uo(["endTurn","stopSequence","maxTokens"]).or(qe())),role:vg,content:sge}),kG=Li.extend({model:qe(),stopReason:Ia(uo(["endTurn","stopSequence","maxTokens","toolUse"]).or(qe())),role:vg,content:pa([bb,or(bb)])}),cge=cr({type:Mr("boolean"),title:qe().optional(),description:qe().optional(),default:ha().optional()}),uge=cr({type:Mr("string"),title:qe().optional(),description:qe().optional(),minLength:Yn().optional(),maxLength:Yn().optional(),format:uo(["email","uri","date","date-time"]).optional(),default:qe().optional()}),dge=cr({type:uo(["number","integer"]),title:qe().optional(),description:qe().optional(),minimum:Yn().optional(),maximum:Yn().optional(),default:Yn().optional()}),hge=cr({type:Mr("string"),title:qe().optional(),description:qe().optional(),enum:or(qe()),default:qe().optional()}),fge=cr({type:Mr("string"),title:qe().optional(),description:qe().optional(),oneOf:or(cr({const:qe(),title:qe()})),default:qe().optional()}),pge=cr({type:Mr("string"),title:qe().optional(),description:qe().optional(),enum:or(qe()),enumNames:or(qe()).optional(),default:qe().optional()}),mge=pa([hge,fge]),gge=cr({type:Mr("array"),title:qe().optional(),description:qe().optional(),minItems:Yn().optional(),maxItems:Yn().optional(),items:cr({type:Mr("string"),enum:or(qe())}),default:or(qe()).optional()}),_ge=cr({type:Mr("array"),title:qe().optional(),description:qe().optional(),minItems:Yn().optional(),maxItems:Yn().optional(),items:cr({anyOf:or(cr({const:qe(),title:qe()}))}),default:or(qe()).optional()}),bge=pa([gge,_ge]),vge=pa([pge,mge,bge]),yge=pa([vge,cge,uge,dge]),Sge=pg.extend({mode:Mr("form").optional(),message:qe(),requestedSchema:cr({type:Mr("object"),properties:xa(qe(),yge),required:or(qe()).optional()})}),Ege=pg.extend({mode:Mr("url"),message:qe(),elicitationId:qe(),url:qe().url()}),wge=pa([Sge,Ege]),MG=Pi.extend({method:Mr("elicitation/create"),params:wge}),Tge=Lo.extend({elicitationId:qe()}),Cge=Fo.extend({method:Mr("notifications/elicitation/complete"),params:Tge}),DG=Li.extend({action:uo(["accept","decline","cancel"]),content:oG(r=>r===null?void 0:r,xa(qe(),pa([qe(),Yn(),ha(),or(qe())])).optional())}),Age=cr({type:Mr("ref/resource"),uri:qe()}),xge=cr({type:Mr("ref/prompt"),name:qe()}),Rge=ho.extend({ref:pa([xge,Age]),argument:cr({name:qe(),value:qe()}),context:cr({arguments:xa(qe(),qe()).optional()}).optional()}),Oge=Pi.extend({method:Mr("completion/complete"),params:Rge}),PG=Li.extend({completion:Ii({values:or(qe()).max(100),total:Ia(Yn().int()),hasMore:Ia(ha())})}),Nge=cr({uri:qe().startsWith("file://"),name:qe().optional(),_meta:xa(qe(),Aa()).optional()}),Ige=Pi.extend({method:Mr("roots/list"),params:ho.optional()}),kge=Li.extend({roots:or(Nge)}),Mge=Fo.extend({method:Mr("notifications/roots/list_changed"),params:Lo.optional()});pa([G4,_me,Oge,Jme,Gme,Ume,xme,Rme,Nme,kme,Dme,Xme,jme,q4,V4,Y4,j4]);pa([$4,z4,pG,Mge,_b]);pa([Qh,IG,kG,DG,kge,H4,W4,km]);pa([G4,NG,MG,Ige,q4,V4,Y4,j4]);pa([$4,z4,tge,Lme,EG,RG,CG,_b,Cge]);pa([Qh,fG,PG,TG,wG,vG,yG,SG,Xv,xG,H4,W4,km]);class zr extends Error{constructor(e,t,n){super(`MCP error ${e}: ${t}`),this.code=e,this.data=n,this.name="McpError"}static fromError(e,t,n){if(e===Qr.UrlElicitationRequired&&n){const a=n;if(a.elicitations)return new Dge(a.elicitations,t)}return new zr(e,t,n)}}class Dge extends zr{constructor(e,t=`URL elicitation${e.length>1?"s":""} required`){super(Qr.UrlElicitationRequired,t,{elicitations:e})}get elicitations(){return this.data?.elicitations??[]}}function _d(r){return r==="completed"||r==="failed"||r==="cancelled"}new Set("ABCDEFGHIJKLMNOPQRSTUVXYZabcdefghijklmnopqrstuvxyz0123456789");function D8(r){const t=K$(r)?.method;if(!t)throw new Error("Schema is missing a method literal");const n=zfe(t);if(typeof n!="string")throw new Error("Schema method literal must be a string");return n}function P8(r,e){const t=bu(r,e);if(!t.success)throw t.error;return t.data}const Pge=6e4;class Lge{constructor(e){this._options=e,this._requestMessageId=0,this._requestHandlers=new Map,this._requestHandlerAbortControllers=new Map,this._notificationHandlers=new Map,this._responseHandlers=new Map,this._progressHandlers=new Map,this._timeoutInfo=new Map,this._pendingDebouncedNotifications=new Set,this._taskProgressTokens=new Map,this._requestResolvers=new Map,this.setNotificationHandler($4,t=>{this._oncancel(t)}),this.setNotificationHandler(z4,t=>{this._onprogress(t)}),this.setRequestHandler(G4,t=>({})),this._taskStore=e?.taskStore,this._taskMessageQueue=e?.taskMessageQueue,this._taskStore&&(this.setRequestHandler(q4,async(t,n)=>{const a=await this._taskStore.getTask(t.params.taskId,n.sessionId);if(!a)throw new zr(Qr.InvalidParams,"Failed to retrieve task: Task not found");return{...a}}),this.setRequestHandler(V4,async(t,n)=>{const a=async()=>{const i=t.params.taskId;if(this._taskMessageQueue){let o;for(;o=await this._taskMessageQueue.dequeue(i,n.sessionId);){if(o.type==="response"||o.type==="error"){const l=o.message,c=l.id,u=this._requestResolvers.get(c);if(u)if(this._requestResolvers.delete(c),o.type==="response")u(l);else{const d=l,h=new zr(d.error.code,d.error.message,d.error.data);u(h)}else{const d=o.type==="response"?"Response":"Error";this._onerror(new Error(`${d} handler missing for request ${c}`))}continue}await this._transport?.send(o.message,{relatedRequestId:n.requestId})}}const s=await this._taskStore.getTask(i,n.sessionId);if(!s)throw new zr(Qr.InvalidParams,`Task not found: ${i}`);if(!_d(s.status))return await this._waitForTaskUpdate(i,n.signal),await a();if(_d(s.status)){const o=await this._taskStore.getTaskResult(i,n.sessionId);return this._clearTaskQueue(i),{...o,_meta:{...o._meta,[Od]:{taskId:i}}}}return await a()};return await a()}),this.setRequestHandler(Y4,async(t,n)=>{try{const{tasks:a,nextCursor:i}=await this._taskStore.listTasks(t.params?.cursor,n.sessionId);return{tasks:a,nextCursor:i,_meta:{}}}catch(a){throw new zr(Qr.InvalidParams,`Failed to list tasks: ${a instanceof Error?a.message:String(a)}`)}}),this.setRequestHandler(j4,async(t,n)=>{try{const a=await this._taskStore.getTask(t.params.taskId,n.sessionId);if(!a)throw new zr(Qr.InvalidParams,`Task not found: ${t.params.taskId}`);if(_d(a.status))throw new zr(Qr.InvalidParams,`Cannot cancel task in terminal status: ${a.status}`);await this._taskStore.updateTaskStatus(t.params.taskId,"cancelled","Client cancelled task execution.",n.sessionId),this._clearTaskQueue(t.params.taskId);const i=await this._taskStore.getTask(t.params.taskId,n.sessionId);if(!i)throw new zr(Qr.InvalidParams,`Task not found after cancellation: ${t.params.taskId}`);return{_meta:{},...i}}catch(a){throw a instanceof zr?a:new zr(Qr.InvalidRequest,`Failed to cancel task: ${a instanceof Error?a.message:String(a)}`)}}))}async _oncancel(e){if(!e.params.requestId)return;this._requestHandlerAbortControllers.get(e.params.requestId)?.abort(e.params.reason)}_setupTimeout(e,t,n,a,i=!1){this._timeoutInfo.set(e,{timeoutId:setTimeout(a,t),startTime:Date.now(),timeout:t,maxTotalTimeout:n,resetTimeoutOnProgress:i,onTimeout:a})}_resetTimeout(e){const t=this._timeoutInfo.get(e);if(!t)return!1;const n=Date.now()-t.startTime;if(t.maxTotalTimeout&&n>=t.maxTotalTimeout)throw this._timeoutInfo.delete(e),zr.fromError(Qr.RequestTimeout,"Maximum total timeout exceeded",{maxTotalTimeout:t.maxTotalTimeout,totalElapsed:n});return clearTimeout(t.timeoutId),t.timeoutId=setTimeout(t.onTimeout,t.timeout),!0}_cleanupTimeout(e){const t=this._timeoutInfo.get(e);t&&(clearTimeout(t.timeoutId),this._timeoutInfo.delete(e))}async connect(e){if(this._transport)throw new Error("Already connected to a transport. Call close() before connecting to a new transport, or use a separate Protocol instance per connection.");this._transport=e;const t=this.transport?.onclose;this._transport.onclose=()=>{t?.(),this._onclose()};const n=this.transport?.onerror;this._transport.onerror=i=>{n?.(i),this._onerror(i)};const a=this._transport?.onmessage;this._transport.onmessage=(i,s)=>{a?.(i,s),Wp(i)||lme(i)?this._onresponse(i):w3(i)?this._onrequest(i,s):ome(i)?this._onnotification(i):this._onerror(new Error(`Unknown message type: ${JSON.stringify(i)}`))},await this._transport.start()}_onclose(){const e=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.clear();for(const n of this._requestHandlerAbortControllers.values())n.abort();this._requestHandlerAbortControllers.clear();const t=zr.fromError(Qr.ConnectionClosed,"Connection closed");this._transport=void 0,this.onclose?.();for(const n of e.values())n(t)}_onerror(e){this.onerror?.(e)}_onnotification(e){const t=this._notificationHandlers.get(e.method)??this.fallbackNotificationHandler;t!==void 0&&Promise.resolve().then(()=>t(e)).catch(n=>this._onerror(new Error(`Uncaught error in notification handler: ${n}`)))}_onrequest(e,t){const n=this._requestHandlers.get(e.method)??this.fallbackRequestHandler,a=this._transport,i=e.params?._meta?.[Od]?.taskId;if(n===void 0){const u={jsonrpc:"2.0",id:e.id,error:{code:Qr.MethodNotFound,message:"Method not found"}};i&&this._taskMessageQueue?this._enqueueTaskMessage(i,{type:"error",message:u,timestamp:Date.now()},a?.sessionId).catch(d=>this._onerror(new Error(`Failed to enqueue error response: ${d}`))):a?.send(u).catch(d=>this._onerror(new Error(`Failed to send an error response: ${d}`)));return}const s=new AbortController;this._requestHandlerAbortControllers.set(e.id,s);const o=sme(e.params)?e.params.task:void 0,l=this._taskStore?this.requestTaskStore(e,a?.sessionId):void 0,c={signal:s.signal,sessionId:a?.sessionId,_meta:e.params?._meta,sendNotification:async u=>{if(s.signal.aborted)return;const d={relatedRequestId:e.id};i&&(d.relatedTask={taskId:i}),await this.notification(u,d)},sendRequest:async(u,d,h)=>{if(s.signal.aborted)throw new zr(Qr.ConnectionClosed,"Request was cancelled");const p={...h,relatedRequestId:e.id};i&&!p.relatedTask&&(p.relatedTask={taskId:i});const m=p.relatedTask?.taskId??i;return m&&l&&await l.updateTaskStatus(m,"input_required"),await this.request(u,d,p)},authInfo:t?.authInfo,requestId:e.id,requestInfo:t?.requestInfo,taskId:i,taskStore:l,taskRequestedTtl:o?.ttl,closeSSEStream:t?.closeSSEStream,closeStandaloneSSEStream:t?.closeStandaloneSSEStream};Promise.resolve().then(()=>{o&&this.assertTaskHandlerCapability(e.method)}).then(()=>n(e,c)).then(async u=>{if(s.signal.aborted)return;const d={result:u,jsonrpc:"2.0",id:e.id};i&&this._taskMessageQueue?await this._enqueueTaskMessage(i,{type:"response",message:d,timestamp:Date.now()},a?.sessionId):await a?.send(d)},async u=>{if(s.signal.aborted)return;const d={jsonrpc:"2.0",id:e.id,error:{code:Number.isSafeInteger(u.code)?u.code:Qr.InternalError,message:u.message??"Internal error",...u.data!==void 0&&{data:u.data}}};i&&this._taskMessageQueue?await this._enqueueTaskMessage(i,{type:"error",message:d,timestamp:Date.now()},a?.sessionId):await a?.send(d)}).catch(u=>this._onerror(new Error(`Failed to send response: ${u}`))).finally(()=>{this._requestHandlerAbortControllers.delete(e.id)})}_onprogress(e){const{progressToken:t,...n}=e.params,a=Number(t),i=this._progressHandlers.get(a);if(!i){this._onerror(new Error(`Received a progress notification for an unknown token: ${JSON.stringify(e)}`));return}const s=this._responseHandlers.get(a),o=this._timeoutInfo.get(a);if(o&&s&&o.resetTimeoutOnProgress)try{this._resetTimeout(a)}catch(l){this._responseHandlers.delete(a),this._progressHandlers.delete(a),this._cleanupTimeout(a),s(l);return}i(n)}_onresponse(e){const t=Number(e.id),n=this._requestResolvers.get(t);if(n){if(this._requestResolvers.delete(t),Wp(e))n(e);else{const s=new zr(e.error.code,e.error.message,e.error.data);n(s)}return}const a=this._responseHandlers.get(t);if(a===void 0){this._onerror(new Error(`Received a response for an unknown message ID: ${JSON.stringify(e)}`));return}this._responseHandlers.delete(t),this._cleanupTimeout(t);let i=!1;if(Wp(e)&&e.result&&typeof e.result=="object"){const s=e.result;if(s.task&&typeof s.task=="object"){const o=s.task;typeof o.taskId=="string"&&(i=!0,this._taskProgressTokens.set(o.taskId,t))}}if(i||this._progressHandlers.delete(t),Wp(e))a(e);else{const s=zr.fromError(e.error.code,e.error.message,e.error.data);a(s)}}get transport(){return this._transport}async close(){await this._transport?.close()}async*requestStream(e,t,n){const{task:a}=n??{};if(!a){try{yield{type:"result",result:await this.request(e,t,n)}}catch(s){yield{type:"error",error:s instanceof zr?s:new zr(Qr.InternalError,String(s))}}return}let i;try{const s=await this.request(e,km,n);if(s.task)i=s.task.taskId,yield{type:"taskCreated",task:s.task};else throw new zr(Qr.InternalError,"Task creation did not return a task");for(;;){const o=await this.getTask({taskId:i},n);if(yield{type:"taskStatus",task:o},_d(o.status)){o.status==="completed"?yield{type:"result",result:await this.getTaskResult({taskId:i},t,n)}:o.status==="failed"?yield{type:"error",error:new zr(Qr.InternalError,`Task ${i} failed`)}:o.status==="cancelled"&&(yield{type:"error",error:new zr(Qr.InternalError,`Task ${i} was cancelled`)});return}if(o.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId:i},t,n)};return}const l=o.pollInterval??this._options?.defaultTaskPollInterval??1e3;await new Promise(c=>setTimeout(c,l)),n?.signal?.throwIfAborted()}}catch(s){yield{type:"error",error:s instanceof zr?s:new zr(Qr.InternalError,String(s))}}}request(e,t,n){const{relatedRequestId:a,resumptionToken:i,onresumptiontoken:s,task:o,relatedTask:l}=n??{};return new Promise((c,u)=>{const d=v=>{u(v)};if(!this._transport){d(new Error("Not connected"));return}if(this._options?.enforceStrictCapabilities===!0)try{this.assertCapabilityForMethod(e.method),o&&this.assertTaskCapability(e.method)}catch(v){d(v);return}n?.signal?.throwIfAborted();const h=this._requestMessageId++,p={...e,jsonrpc:"2.0",id:h};n?.onprogress&&(this._progressHandlers.set(h,n.onprogress),p.params={...e.params,_meta:{...e.params?._meta||{},progressToken:h}}),o&&(p.params={...p.params,task:o}),l&&(p.params={...p.params,_meta:{...p.params?._meta||{},[Od]:l}});const m=v=>{this._responseHandlers.delete(h),this._progressHandlers.delete(h),this._cleanupTimeout(h),this._transport?.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:h,reason:String(v)}},{relatedRequestId:a,resumptionToken:i,onresumptiontoken:s}).catch(E=>this._onerror(new Error(`Failed to send cancellation: ${E}`)));const y=v instanceof zr?v:new zr(Qr.RequestTimeout,String(v));u(y)};this._responseHandlers.set(h,v=>{if(!n?.signal?.aborted){if(v instanceof Error)return u(v);try{const y=bu(t,v.result);y.success?c(y.data):u(y.error)}catch(y){u(y)}}}),n?.signal?.addEventListener("abort",()=>{m(n?.signal?.reason)});const g=n?.timeout??Pge,b=()=>m(zr.fromError(Qr.RequestTimeout,"Request timed out",{timeout:g}));this._setupTimeout(h,g,n?.maxTotalTimeout,b,n?.resetTimeoutOnProgress??!1);const _=l?.taskId;if(_){const v=y=>{const E=this._responseHandlers.get(h);E?E(y):this._onerror(new Error(`Response handler missing for side-channeled request ${h}`))};this._requestResolvers.set(h,v),this._enqueueTaskMessage(_,{type:"request",message:p,timestamp:Date.now()}).catch(y=>{this._cleanupTimeout(h),u(y)})}else this._transport.send(p,{relatedRequestId:a,resumptionToken:i,onresumptiontoken:s}).catch(v=>{this._cleanupTimeout(h),u(v)})})}async getTask(e,t){return this.request({method:"tasks/get",params:e},H4,t)}async getTaskResult(e,t,n){return this.request({method:"tasks/result",params:e},t,n)}async listTasks(e,t){return this.request({method:"tasks/list",params:e},W4,t)}async cancelTask(e,t){return this.request({method:"tasks/cancel",params:e},Cme,t)}async notification(e,t){if(!this._transport)throw new Error("Not connected");this.assertNotificationCapability(e.method);const n=t?.relatedTask?.taskId;if(n){const o={...e,jsonrpc:"2.0",params:{...e.params,_meta:{...e.params?._meta||{},[Od]:t.relatedTask}}};await this._enqueueTaskMessage(n,{type:"notification",message:o,timestamp:Date.now()});return}if((this._options?.debouncedNotificationMethods??[]).includes(e.method)&&!e.params&&!t?.relatedRequestId&&!t?.relatedTask){if(this._pendingDebouncedNotifications.has(e.method))return;this._pendingDebouncedNotifications.add(e.method),Promise.resolve().then(()=>{if(this._pendingDebouncedNotifications.delete(e.method),!this._transport)return;let o={...e,jsonrpc:"2.0"};t?.relatedTask&&(o={...o,params:{...o.params,_meta:{...o.params?._meta||{},[Od]:t.relatedTask}}}),this._transport?.send(o,t).catch(l=>this._onerror(l))});return}let s={...e,jsonrpc:"2.0"};t?.relatedTask&&(s={...s,params:{...s.params,_meta:{...s.params?._meta||{},[Od]:t.relatedTask}}}),await this._transport.send(s,t)}setRequestHandler(e,t){const n=D8(e);this.assertRequestHandlerCapability(n),this._requestHandlers.set(n,(a,i)=>{const s=P8(e,a);return Promise.resolve(t(s,i))})}removeRequestHandler(e){this._requestHandlers.delete(e)}assertCanSetRequestHandler(e){if(this._requestHandlers.has(e))throw new Error(`A request handler for ${e} already exists, which would be overridden`)}setNotificationHandler(e,t){const n=D8(e);this._notificationHandlers.set(n,a=>{const i=P8(e,a);return Promise.resolve(t(i))})}removeNotificationHandler(e){this._notificationHandlers.delete(e)}_cleanupTaskProgressHandler(e){const t=this._taskProgressTokens.get(e);t!==void 0&&(this._progressHandlers.delete(t),this._taskProgressTokens.delete(e))}async _enqueueTaskMessage(e,t,n){if(!this._taskStore||!this._taskMessageQueue)throw new Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");const a=this._options?.maxTaskQueueSize;await this._taskMessageQueue.enqueue(e,t,n,a)}async _clearTaskQueue(e,t){if(this._taskMessageQueue){const n=await this._taskMessageQueue.dequeueAll(e,t);for(const a of n)if(a.type==="request"&&w3(a.message)){const i=a.message.id,s=this._requestResolvers.get(i);s?(s(new zr(Qr.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(i)):this._onerror(new Error(`Resolver missing for request ${i} during task ${e} cleanup`))}}}async _waitForTaskUpdate(e,t){let n=this._options?.defaultTaskPollInterval??1e3;try{const a=await this._taskStore?.getTask(e);a?.pollInterval&&(n=a.pollInterval)}catch{}return new Promise((a,i)=>{if(t.aborted){i(new zr(Qr.InvalidRequest,"Request cancelled"));return}const s=setTimeout(a,n);t.addEventListener("abort",()=>{clearTimeout(s),i(new zr(Qr.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(e,t){const n=this._taskStore;if(!n)throw new Error("No task store configured");return{createTask:async a=>{if(!e)throw new Error("No request provided");return await n.createTask(a,e.id,{method:e.method,params:e.params},t)},getTask:async a=>{const i=await n.getTask(a,t);if(!i)throw new zr(Qr.InvalidParams,"Failed to retrieve task: Task not found");return i},storeTaskResult:async(a,i,s)=>{await n.storeTaskResult(a,i,s,t);const o=await n.getTask(a,t);if(o){const l=_b.parse({method:"notifications/tasks/status",params:o});await this.notification(l),_d(o.status)&&this._cleanupTaskProgressHandler(a)}},getTaskResult:a=>n.getTaskResult(a,t),updateTaskStatus:async(a,i,s)=>{const o=await n.getTask(a,t);if(!o)throw new zr(Qr.InvalidParams,`Task "${a}" not found - it may have been cleaned up`);if(_d(o.status))throw new zr(Qr.InvalidParams,`Cannot update task "${a}" from terminal status "${o.status}" to "${i}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await n.updateTaskStatus(a,i,s,t);const l=await n.getTask(a,t);if(l){const c=_b.parse({method:"notifications/tasks/status",params:l});await this.notification(c),_d(l.status)&&this._cleanupTaskProgressHandler(a)}},listTasks:a=>n.listTasks(a,t)}}}function L8(r){return r!==null&&typeof r=="object"&&!Array.isArray(r)}function Fge(r,e){const t={...r};for(const n in e){const a=n,i=e[a];if(i===void 0)continue;const s=t[a];L8(s)&&L8(i)?t[a]={...s,...i}:t[a]=i}return t}var _0={exports:{}},oT={},ac={},bd={},lT={},cT={},uT={},F8;function vb(){return F8||(F8=1,function(r){Object.defineProperty(r,"__esModule",{value:!0}),r.regexpCode=r.getEsmExportName=r.getProperty=r.safeStringify=r.stringify=r.strConcat=r.addCodeArg=r.str=r._=r.nil=r._Code=r.Name=r.IDENTIFIER=r._CodeOrName=void 0;class e{}r._CodeOrName=e,r.IDENTIFIER=/^[a-z$_][a-z$_0-9]*$/i;class t extends e{constructor(v){if(super(),!r.IDENTIFIER.test(v))throw 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w=o(v.scheme||y.scheme);if(!v.unicodeSupport&&(!w||!w.unicodeSupport)&&y.host&&(v.domainHost||w&&w.domainHost)&&E===!1&&i(y.host))try{y.host=URL.domainToASCII(y.host.toLowerCase())}catch(C){y.error=y.error||"Host's domain name can not be converted to ASCII: "+C}(!w||w&&!w.skipNormalize)&&(b.indexOf("%")!==-1&&(y.scheme!==void 0&&(y.scheme=unescape(y.scheme)),y.host!==void 0&&(y.host=unescape(y.host))),y.path&&(y.path=escape(unescape(y.path))),y.fragment&&(y.fragment=encodeURI(decodeURIComponent(y.fragment)))),w&&w.parse&&w.parse(y,v)}else y.error=y.error||"URI can not be parsed.";return y}const g={SCHEMES:s,normalize:l,resolve:c,resolveComponent:u,equal:d,serialize:h,parse:m};return xp.exports=g,xp.exports.default=g,xp.exports.fastUri=g,xp.exports}var lk;function Qge(){if(lk)return S0;lk=1,Object.defineProperty(S0,"__esModule",{value:!0});const r=UG();return r.code='require("ajv/dist/runtime/uri").default',S0.default=r,S0}var ck;function Zge(){return 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this.listTools()).tools),e.prompts&&this._serverCapabilities?.prompts?.listChanged&&this._setupListChangedHandler("prompts",CG,e.prompts,async()=>(await this.listPrompts()).prompts),e.resources&&this._serverCapabilities?.resources?.listChanged&&this._setupListChangedHandler("resources",EG,e.resources,async()=>(await this.listResources()).resources)}get experimental(){return this._experimental||(this._experimental={tasks:new e_e(this)}),this._experimental}registerCapabilities(e){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=Fge(this._capabilities,e)}setRequestHandler(e,t){const a=K$(e)?.method;if(!a)throw new Error("Schema is missing a method literal");let i;if(Yv(a)){const o=a;i=o._zod?.def?.value??o.value}else{const o=a;i=o._def?.value??o.value}if(typeof i!="string")throw new Error("Schema method literal must be a string");const s=i;if(s==="elicitation/create"){const o=async(l,c)=>{const u=bu(MG,l);if(!u.success){const v=u.error instanceof Error?u.error.message:String(u.error);throw new zr(Qr.InvalidParams,`Invalid elicitation request: ${v}`)}const{params:d}=u.data;d.mode=d.mode??"form";const{supportsFormMode:h,supportsUrlMode:p}=n_e(this._capabilities.elicitation);if(d.mode==="form"&&!h)throw new zr(Qr.InvalidParams,"Client does not support form-mode elicitation requests");if(d.mode==="url"&&!p)throw new zr(Qr.InvalidParams,"Client does not support URL-mode elicitation requests");const m=await Promise.resolve(t(l,c));if(d.task){const v=bu(km,m);if(!v.success){const y=v.error instanceof Error?v.error.message:String(v.error);throw new zr(Qr.InvalidParams,`Invalid task creation result: ${y}`)}return v.data}const g=bu(DG,m);if(!g.success){const v=g.error instanceof Error?g.error.message:String(g.error);throw new zr(Qr.InvalidParams,`Invalid elicitation result: ${v}`)}const b=g.data,_=d.mode==="form"?d.requestedSchema:void 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does not support ${e} (required for ${t})`)}async connect(e,t){if(await super.connect(e),e.sessionId===void 0)try{const n=await this.request({method:"initialize",params:{protocolVersion:Wv,capabilities:this._capabilities,clientInfo:this._clientInfo}},fG,t);if(n===void 0)throw new Error(`Server sent invalid initialize result: ${n}`);if(!nme.includes(n.protocolVersion))throw new Error(`Server's protocol version is not supported: ${n.protocolVersion}`);this._serverCapabilities=n.capabilities,this._serverVersion=n.serverInfo,e.setProtocolVersion&&e.setProtocolVersion(n.protocolVersion),this._instructions=n.instructions,await this.notification({method:"notifications/initialized"}),this._pendingListChangedConfig&&(this._setupListChangedHandlers(this._pendingListChangedConfig),this._pendingListChangedConfig=void 0)}catch(n){throw this.close(),n}}getServerCapabilities(){return this._serverCapabilities}getServerVersion(){return this._serverVersion}getInstructions(){return this._instructions}assertCapabilityForMethod(e){switch(e){case"logging/setLevel":if(!this._serverCapabilities?.logging)throw new Error(`Server does not support logging (required for ${e})`);break;case"prompts/get":case"prompts/list":if(!this._serverCapabilities?.prompts)throw new Error(`Server does not support prompts (required for ${e})`);break;case"resources/list":case"resources/templates/list":case"resources/read":case"resources/subscribe":case"resources/unsubscribe":if(!this._serverCapabilities?.resources)throw new Error(`Server does not support resources (required for ${e})`);if(e==="resources/subscribe"&&!this._serverCapabilities.resources.subscribe)throw new Error(`Server does not support resource subscriptions (required for ${e})`);break;case"tools/call":case"tools/list":if(!this._serverCapabilities?.tools)throw new Error(`Server does not support tools (required for ${e})`);break;case"completion/complete":if(!this._serverCapabilities?.completions)throw new Error(`Server does not support completions (required for ${e})`);break}}assertNotificationCapability(e){switch(e){case"notifications/roots/list_changed":if(!this._capabilities.roots?.listChanged)throw new Error(`Client does not support roots list changed notifications (required for ${e})`);break}}assertRequestHandlerCapability(e){if(this._capabilities)switch(e){case"sampling/createMessage":if(!this._capabilities.sampling)throw new Error(`Client does not support sampling capability (required for ${e})`);break;case"elicitation/create":if(!this._capabilities.elicitation)throw new Error(`Client does not support elicitation capability (required for ${e})`);break;case"roots/list":if(!this._capabilities.roots)throw new Error(`Client does not support roots capability (required for ${e})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Client does not support tasks capability (required for ${e})`);break}}assertTaskCapability(e){t_e(this._serverCapabilities?.tasks?.requests,e,"Server")}assertTaskHandlerCapability(e){this._capabilities&&r_e(this._capabilities.tasks?.requests,e,"Client")}async ping(e){return this.request({method:"ping"},Qh,e)}async complete(e,t){return this.request({method:"completion/complete",params:e},PG,t)}async setLoggingLevel(e,t){return this.request({method:"logging/setLevel",params:{level:e}},Qh,t)}async getPrompt(e,t){return this.request({method:"prompts/get",params:e},TG,t)}async listPrompts(e,t){return this.request({method:"prompts/list",params:e},wG,t)}async listResources(e,t){return this.request({method:"resources/list",params:e},vG,t)}async listResourceTemplates(e,t){return this.request({method:"resources/templates/list",params:e},yG,t)}async readResource(e,t){return this.request({method:"resources/read",params:e},SG,t)}async subscribeResource(e,t){return this.request({method:"resources/subscribe",params:e},Qh,t)}async unsubscribeResource(e,t){return this.request({method:"resources/unsubscribe",params:e},Qh,t)}async callTool(e,t=Xv,n){if(this.isToolTaskRequired(e.name))throw new zr(Qr.InvalidRequest,`Tool "${e.name}" requires task-based execution. 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Received ${r}.`;const e=await o_e(r),t=await l_e(e);return{code_verifier:e,code_challenge:t}}const Ri=dpe().superRefine((r,e)=>{if(!URL.canParse(r))return e.addIssue({code:tme.custom,message:"URL must be parseable",fatal:!0}),hue}).refine(r=>{const e=new URL(r);return e.protocol!=="javascript:"&&e.protocol!=="data:"&&e.protocol!=="vbscript:"},{message:"URL cannot use javascript:, data:, or vbscript: scheme"}),u_e=Ii({resource:qe().url(),authorization_servers:or(Ri).optional(),jwks_uri:qe().url().optional(),scopes_supported:or(qe()).optional(),bearer_methods_supported:or(qe()).optional(),resource_signing_alg_values_supported:or(qe()).optional(),resource_name:qe().optional(),resource_documentation:qe().optional(),resource_policy_uri:qe().url().optional(),resource_tos_uri:qe().url().optional(),tls_client_certificate_bound_access_tokens:ha().optional(),authorization_details_types_supported:or(qe()).optional(),dpop_signing_alg_values_supported:or(qe()).optional(),dpop_bound_access_tokens_required:ha().optional()}),KG=Ii({issuer:qe(),authorization_endpoint:Ri,token_endpoint:Ri,registration_endpoint:Ri.optional(),scopes_supported:or(qe()).optional(),response_types_supported:or(qe()),response_modes_supported:or(qe()).optional(),grant_types_supported:or(qe()).optional(),token_endpoint_auth_methods_supported:or(qe()).optional(),token_endpoint_auth_signing_alg_values_supported:or(qe()).optional(),service_documentation:Ri.optional(),revocation_endpoint:Ri.optional(),revocation_endpoint_auth_methods_supported:or(qe()).optional(),revocation_endpoint_auth_signing_alg_values_supported:or(qe()).optional(),introspection_endpoint:qe().optional(),introspection_endpoint_auth_methods_supported:or(qe()).optional(),introspection_endpoint_auth_signing_alg_values_supported:or(qe()).optional(),code_challenge_methods_supported:or(qe()).optional(),client_id_metadata_document_supported:ha().optional()}),d_e=Ii({issuer:qe(),authorization_endpoint:Ri,token_endpoint:Ri,userinfo_endpoint:Ri.optional(),jwks_uri:Ri,registration_endpoint:Ri.optional(),scopes_supported:or(qe()).optional(),response_types_supported:or(qe()),response_modes_supported:or(qe()).optional(),grant_types_supported:or(qe()).optional(),acr_values_supported:or(qe()).optional(),subject_types_supported:or(qe()),id_token_signing_alg_values_supported:or(qe()),id_token_encryption_alg_values_supported:or(qe()).optional(),id_token_encryption_enc_values_supported:or(qe()).optional(),userinfo_signing_alg_values_supported:or(qe()).optional(),userinfo_encryption_alg_values_supported:or(qe()).optional(),userinfo_encryption_enc_values_supported:or(qe()).optional(),request_object_signing_alg_values_supported:or(qe()).optional(),request_object_encryption_alg_values_supported:or(qe()).optional(),request_object_encryption_enc_values_supported:or(qe()).optional(),token_endpoint_auth_methods_supported:or(qe()).optional(),token_endpoint_auth_signing_alg_values_supported:or(qe()).optional(),display_values_supported:or(qe()).optional(),claim_types_supported:or(qe()).optional(),claims_supported:or(qe()).optional(),service_documentation:qe().optional(),claims_locales_supported:or(qe()).optional(),ui_locales_supported:or(qe()).optional(),claims_parameter_supported:ha().optional(),request_parameter_supported:ha().optional(),request_uri_parameter_supported:ha().optional(),require_request_uri_registration:ha().optional(),op_policy_uri:Ri.optional(),op_tos_uri:Ri.optional(),client_id_metadata_document_supported:ha().optional()}),h_e=cr({...d_e.shape,...KG.pick({code_challenge_methods_supported:!0}).shape}),f_e=cr({access_token:qe(),id_token:qe().optional(),token_type:qe(),expires_in:rme().optional(),scope:qe().optional(),refresh_token:qe().optional()}).strip(),p_e=cr({error:qe(),error_description:qe().optional(),error_uri:qe().optional()}),lD=Ri.optional().or(Mr("").transform(()=>{})),m_e=cr({redirect_uris:or(Ri),token_endpoint_auth_method:qe().optional(),grant_types:or(qe()).optional(),response_types:or(qe()).optional(),client_name:qe().optional(),client_uri:Ri.optional(),logo_uri:lD,scope:qe().optional(),contacts:or(qe()).optional(),tos_uri:lD,policy_uri:qe().optional(),jwks_uri:Ri.optional(),jwks:Ipe().optional(),software_id:qe().optional(),software_version:qe().optional(),software_statement:qe().optional()}).strip(),g_e=cr({client_id:qe(),client_secret:qe().optional(),client_id_issued_at:Yn().optional(),client_secret_expires_at:Yn().optional()}).strip(),__e=m_e.merge(g_e);cr({error:qe(),error_description:qe().optional()}).strip();cr({token:qe(),token_type_hint:qe().optional()}).strip();function b_e(r){const e=typeof r=="string"?new URL(r):new URL(r.href);return e.hash="",e}function v_e({requestedResource:r,configuredResource:e}){const t=typeof r=="string"?new URL(r):new URL(r.href),n=typeof e=="string"?new URL(e):new URL(e.href);if(t.origin!==n.origin||t.pathname.length<n.pathname.length)return!1;const a=t.pathname.endsWith("/")?t.pathname:t.pathname+"/",i=n.pathname.endsWith("/")?n.pathname:n.pathname+"/";return a.startsWith(i)}class vi extends Error{constructor(e,t){super(e),this.errorUri=t,this.name=this.constructor.name}toResponseObject(){const e={error:this.errorCode,error_description:this.message};return this.errorUri&&(e.error_uri=this.errorUri),e}get errorCode(){return this.constructor.errorCode}}class T3 extends vi{}T3.errorCode="invalid_request";class Tb extends vi{}Tb.errorCode="invalid_client";class Cb extends vi{}Cb.errorCode="invalid_grant";class Ab extends vi{}Ab.errorCode="unauthorized_client";class C3 extends vi{}C3.errorCode="unsupported_grant_type";class A3 extends vi{}A3.errorCode="invalid_scope";class x3 extends vi{}x3.errorCode="access_denied";class Bf extends vi{}Bf.errorCode="server_error";class R3 extends vi{}R3.errorCode="temporarily_unavailable";class O3 extends vi{}O3.errorCode="unsupported_response_type";class N3 extends vi{}N3.errorCode="unsupported_token_type";class I3 extends vi{}I3.errorCode="invalid_token";class k3 extends vi{}k3.errorCode="method_not_allowed";class M3 extends vi{}M3.errorCode="too_many_requests";class xb extends vi{}xb.errorCode="invalid_client_metadata";class D3 extends vi{}D3.errorCode="insufficient_scope";class P3 extends vi{}P3.errorCode="invalid_target";const y_e={[T3.errorCode]:T3,[Tb.errorCode]:Tb,[Cb.errorCode]:Cb,[Ab.errorCode]:Ab,[C3.errorCode]:C3,[A3.errorCode]:A3,[x3.errorCode]:x3,[Bf.errorCode]:Bf,[R3.errorCode]:R3,[O3.errorCode]:O3,[N3.errorCode]:N3,[I3.errorCode]:I3,[k3.errorCode]:k3,[M3.errorCode]:M3,[xb.errorCode]:xb,[D3.errorCode]:D3,[P3.errorCode]:P3};class jo extends Error{constructor(e){super(e??"Unauthorized")}}function S_e(r){return["client_secret_basic","client_secret_post","none"].includes(r)}const AT="code",xT="S256";function E_e(r,e){const t=r.client_secret!==void 0;return e.length===0?t?"client_secret_post":"none":"token_endpoint_auth_method"in r&&r.token_endpoint_auth_method&&S_e(r.token_endpoint_auth_method)&&e.includes(r.token_endpoint_auth_method)?r.token_endpoint_auth_method:t&&e.includes("client_secret_basic")?"client_secret_basic":t&&e.includes("client_secret_post")?"client_secret_post":e.includes("none")?"none":t?"client_secret_post":"none"}function w_e(r,e,t,n){const{client_id:a,client_secret:i}=e;switch(r){case"client_secret_basic":T_e(a,i,t);return;case"client_secret_post":C_e(a,i,n);return;case"none":A_e(a,n);return;default:throw new Error(`Unsupported client authentication method: ${r}`)}}function T_e(r,e,t){if(!e)throw new Error("client_secret_basic authentication requires a client_secret");const n=btoa(`${r}:${e}`);t.set("Authorization",`Basic ${n}`)}function C_e(r,e,t){t.set("client_id",r),e&&t.set("client_secret",e)}function A_e(r,e){e.set("client_id",r)}async function XG(r){const e=r instanceof Response?r.status:void 0,t=r instanceof Response?await r.text():r;try{const n=p_e.parse(JSON.parse(t)),{error:a,error_description:i,error_uri:s}=n,o=y_e[a]||Bf;return new o(i||"",s)}catch(n){const a=`${e?`HTTP ${e}: `:""}Invalid OAuth error response: ${n}. Raw body: ${t}`;return new Bf(a)}}async function Bd(r,e){try{return await RT(r,e)}catch(t){if(t instanceof Tb||t instanceof Ab)return await r.invalidateCredentials?.("all"),await RT(r,e);if(t instanceof Cb)return await r.invalidateCredentials?.("tokens"),await RT(r,e);throw t}}async function RT(r,{serverUrl:e,authorizationCode:t,scope:n,resourceMetadataUrl:a,fetchFn:i}){let s,o;try{s=await O_e(e,{resourceMetadataUrl:a},i),s.authorization_servers&&s.authorization_servers.length>0&&(o=s.authorization_servers[0])}catch{}o||(o=new URL("/",e));const l=await R_e(e,r,s),c=await D_e(o,{fetchFn:i});let u=await Promise.resolve(r.clientInformation());if(!u){if(t!==void 0)throw new Error("Existing OAuth client information is required when exchanging an authorization code");const b=c?.client_id_metadata_document_supported===!0,_=r.clientMetadataUrl;if(_&&!x_e(_))throw new xb(`clientMetadataUrl must be a valid HTTPS URL with a non-root pathname, got: ${_}`);if(b&&_)u={client_id:_},await r.saveClientInformation?.(u);else{if(!r.saveClientInformation)throw new Error("OAuth client information must be saveable for dynamic registration");const y=await U_e(o,{metadata:c,clientMetadata:r.clientMetadata,fetchFn:i});await r.saveClientInformation(y),u=y}}const d=!r.redirectUrl;if(t!==void 0||d){const b=await B_e(r,o,{metadata:c,resource:l,authorizationCode:t,fetchFn:i});return await r.saveTokens(b),"AUTHORIZED"}const h=await r.tokens();if(h?.refresh_token)try{const b=await F_e(o,{metadata:c,clientInformation:u,refreshToken:h.refresh_token,resource:l,addClientAuthentication:r.addClientAuthentication,fetchFn:i});return await r.saveTokens(b),"AUTHORIZED"}catch(b){if(!(!(b instanceof vi)||b instanceof Bf))throw b}const p=r.state?await r.state():void 0,{authorizationUrl:m,codeVerifier:g}=await P_e(o,{metadata:c,clientInformation:u,state:p,redirectUrl:r.redirectUrl,scope:n||s?.scopes_supported?.join(" ")||r.clientMetadata.scope,resource:l});return await r.saveCodeVerifier(g),await r.redirectToAuthorization(m),"REDIRECT"}function x_e(r){if(!r)return!1;try{const e=new URL(r);return e.protocol==="https:"&&e.pathname!=="/"}catch{return!1}}async function R_e(r,e,t){const n=b_e(r);if(e.validateResourceURL)return await e.validateResourceURL(n,t?.resource);if(t){if(!v_e({requestedResource:n,configuredResource:t.resource}))throw new Error(`Protected resource ${t.resource} does not match expected ${n} (or origin)`);return new URL(t.resource)}}function Rb(r){const e=r.headers.get("WWW-Authenticate");if(!e)return{};const[t,n]=e.split(" ");if(t.toLowerCase()!=="bearer"||!n)return{};const a=OT(r,"resource_metadata")||void 0;let i;if(a)try{i=new URL(a)}catch{}const s=OT(r,"scope")||void 0,o=OT(r,"error")||void 0;return{resourceMetadataUrl:i,scope:s,error:o}}function OT(r,e){const t=r.headers.get("WWW-Authenticate");if(!t)return null;const n=new RegExp(`${e}=(?:"([^"]+)"|([^\\s,]+))`),a=t.match(n);return a?a[1]||a[2]:null}async function O_e(r,e,t=fetch){const n=await k_e(r,"oauth-protected-resource",t,{protocolVersion:e?.protocolVersion,metadataUrl:e?.resourceMetadataUrl});if(!n||n.status===404)throw await n?.body?.cancel(),new Error("Resource server does not implement OAuth 2.0 Protected Resource Metadata.");if(!n.ok)throw await n.body?.cancel(),new Error(`HTTP ${n.status} trying to load well-known OAuth protected resource metadata.`);return u_e.parse(await n.json())}async function lx(r,e,t=fetch){try{return await t(r,{headers:e})}catch(n){if(n instanceof TypeError)return e?lx(r,void 0,t):void 0;throw n}}function N_e(r,e="",t={}){return e.endsWith("/")&&(e=e.slice(0,-1)),t.prependPathname?`${e}/.well-known/${r}`:`/.well-known/${r}${e}`}async function cD(r,e,t=fetch){return await lx(r,{"MCP-Protocol-Version":e},t)}function I_e(r,e){return!r||r.status>=400&&r.status<500&&e!=="/"}async function k_e(r,e,t,n){const a=new URL(r),i=n?.protocolVersion??Wv;let s;if(n?.metadataUrl)s=new URL(n.metadataUrl);else{const l=N_e(e,a.pathname);s=new URL(l,n?.metadataServerUrl??a),s.search=a.search}let o=await cD(s,i,t);if(!n?.metadataUrl&&I_e(o,a.pathname)){const l=new URL(`/.well-known/${e}`,a);o=await cD(l,i,t)}return o}function M_e(r){const e=typeof r=="string"?new URL(r):r,t=e.pathname!=="/",n=[];if(!t)return n.push({url:new URL("/.well-known/oauth-authorization-server",e.origin),type:"oauth"}),n.push({url:new URL("/.well-known/openid-configuration",e.origin),type:"oidc"}),n;let a=e.pathname;return a.endsWith("/")&&(a=a.slice(0,-1)),n.push({url:new URL(`/.well-known/oauth-authorization-server${a}`,e.origin),type:"oauth"}),n.push({url:new URL(`/.well-known/openid-configuration${a}`,e.origin),type:"oidc"}),n.push({url:new URL(`${a}/.well-known/openid-configuration`,e.origin),type:"oidc"}),n}async function D_e(r,{fetchFn:e=fetch,protocolVersion:t=Wv}={}){const n={"MCP-Protocol-Version":t,Accept:"application/json"},a=M_e(r);for(const{url:i,type:s}of a){const o=await lx(i,n,e);if(o){if(!o.ok){if(await o.body?.cancel(),o.status>=400&&o.status<500)continue;throw new Error(`HTTP ${o.status} trying to load ${s==="oauth"?"OAuth":"OpenID provider"} metadata from ${i}`)}return s==="oauth"?KG.parse(await o.json()):h_e.parse(await o.json())}}}async function P_e(r,{metadata:e,clientInformation:t,redirectUrl:n,scope:a,state:i,resource:s}){let o;if(e){if(o=new URL(e.authorization_endpoint),!e.response_types_supported.includes(AT))throw new Error(`Incompatible auth server: does not support response type ${AT}`);if(e.code_challenge_methods_supported&&!e.code_challenge_methods_supported.includes(xT))throw new Error(`Incompatible auth server: does not support code challenge method ${xT}`)}else o=new URL("/authorize",r);const l=await c_e(),c=l.code_verifier,u=l.code_challenge;return o.searchParams.set("response_type",AT),o.searchParams.set("client_id",t.client_id),o.searchParams.set("code_challenge",u),o.searchParams.set("code_challenge_method",xT),o.searchParams.set("redirect_uri",String(n)),i&&o.searchParams.set("state",i),a&&o.searchParams.set("scope",a),a?.includes("offline_access")&&o.searchParams.append("prompt","consent"),s&&o.searchParams.set("resource",s.href),{authorizationUrl:o,codeVerifier:c}}function L_e(r,e,t){return new URLSearchParams({grant_type:"authorization_code",code:r,code_verifier:e,redirect_uri:String(t)})}async function QG(r,{metadata:e,tokenRequestParams:t,clientInformation:n,addClientAuthentication:a,resource:i,fetchFn:s}){const o=e?.token_endpoint?new URL(e.token_endpoint):new URL("/token",r),l=new Headers({"Content-Type":"application/x-www-form-urlencoded",Accept:"application/json"});if(i&&t.set("resource",i.href),a)await a(l,t,o,e);else if(n){const u=e?.token_endpoint_auth_methods_supported??[],d=E_e(n,u);w_e(d,n,l,t)}const c=await(s??fetch)(o,{method:"POST",headers:l,body:t});if(!c.ok)throw await XG(c);return f_e.parse(await c.json())}async function F_e(r,{metadata:e,clientInformation:t,refreshToken:n,resource:a,addClientAuthentication:i,fetchFn:s}){const o=new URLSearchParams({grant_type:"refresh_token",refresh_token:n}),l=await QG(r,{metadata:e,tokenRequestParams:o,clientInformation:t,addClientAuthentication:i,resource:a,fetchFn:s});return{refresh_token:n,...l}}async function B_e(r,e,{metadata:t,resource:n,authorizationCode:a,fetchFn:i}={}){const s=r.clientMetadata.scope;let o;if(r.prepareTokenRequest&&(o=await r.prepareTokenRequest(s)),!o){if(!a)throw new Error("Either provider.prepareTokenRequest() or authorizationCode is required");if(!r.redirectUrl)throw new Error("redirectUrl is required for authorization_code flow");const c=await r.codeVerifier();o=L_e(a,c,r.redirectUrl)}const l=await r.clientInformation();return QG(e,{metadata:t,tokenRequestParams:o,clientInformation:l??void 0,addClientAuthentication:r.addClientAuthentication,resource:n,fetchFn:i})}async function U_e(r,{metadata:e,clientMetadata:t,fetchFn:n}){let a;if(e){if(!e.registration_endpoint)throw new Error("Incompatible auth server: does not support dynamic client registration");a=new URL(e.registration_endpoint)}else a=new URL("/register",r);const i=await(n??fetch)(a,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(t)});if(!i.ok)throw await XG(i);return __e.parse(await i.json())}let uD=class extends Error{constructor(e,t){super(e),this.name="ParseError",this.type=t.type,this.field=t.field,this.value=t.value,this.line=t.line}};function NT(r){}function ZG(r){if(typeof r=="function")throw new TypeError("`callbacks` must be an object, got a function instead. Did you mean `{onEvent: fn}`?");const{onEvent:e=NT,onError:t=NT,onRetry:n=NT,onComment:a}=r;let i="",s=!0,o,l="",c="";function u(g){const b=s?g.replace(/^\xEF\xBB\xBF/,""):g,[_,v]=$_e(`${i}${b}`);for(const y of _)d(y);i=v,s=!1}function d(g){if(g===""){p();return}if(g.startsWith(":")){a&&a(g.slice(g.startsWith(": ")?2:1));return}const b=g.indexOf(":");if(b!==-1){const _=g.slice(0,b),v=g[b+1]===" "?2:1,y=g.slice(b+v);h(_,y,g);return}h(g,"",g)}function h(g,b,_){switch(g){case"event":c=b;break;case"data":l=`${l}${b}
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-`)?l.slice(0,-1):l}),o=void 0,l="",c=""}function m(g={}){i&&g.consume&&d(i),s=!0,o=void 0,l="",c="",i=""}return{feed:u,reset:m}}function $_e(r){const e=[];let t="",n=0;for(;n<r.length;){const a=r.indexOf("\r",n),i=r.indexOf(`
-`,n);let s=-1;if(a!==-1&&i!==-1?s=Math.min(a,i):a!==-1?a===r.length-1?s=-1:s=a:i!==-1&&(s=i),s===-1){t=r.slice(n);break}else{const o=r.slice(n,s);e.push(o),n=s+1,r[n-1]==="\r"&&r[n]===`
-`&&n++}}return[e,t]}class G_e extends TransformStream{constructor({onError:e,onRetry:t,onComment:n}={}){let a;super({start(i){a=ZG({onEvent:s=>{i.enqueue(s)},onError(s){e==="terminate"?i.error(s):typeof e=="function"&&e(s)},onRetry:t,onComment:n})},transform(i){a.feed(i)}})}}const z_e={initialReconnectionDelay:1e3,maxReconnectionDelay:3e4,reconnectionDelayGrowFactor:1.5,maxRetries:2};class Nd extends Error{constructor(e,t){super(`Streamable HTTP error: ${t}`),this.code=e}}class q_e{constructor(e,t){this._hasCompletedAuthFlow=!1,this._url=e,this._resourceMetadataUrl=void 0,this._scope=void 0,this._requestInit=t?.requestInit,this._authProvider=t?.authProvider,this._fetch=t?.fetch,this._fetchWithInit=jG(t?.fetch,t?.requestInit),this._sessionId=t?.sessionId,this._reconnectionOptions=t?.reconnectionOptions??z_e}async _authThenStart(){if(!this._authProvider)throw new jo("No auth provider");let e;try{e=await Bd(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(t){throw this.onerror?.(t),t}if(e!=="AUTHORIZED")throw new jo;return await this._startOrAuthSse({resumptionToken:void 0})}async _commonHeaders(){const e={};if(this._authProvider){const n=await this._authProvider.tokens();n&&(e.Authorization=`Bearer ${n.access_token}`)}this._sessionId&&(e["mcp-session-id"]=this._sessionId),this._protocolVersion&&(e["mcp-protocol-version"]=this._protocolVersion);const t=wb(this._requestInit?.headers);return new Headers({...e,...t})}async _startOrAuthSse(e){const{resumptionToken:t}=e;try{const n=await this._commonHeaders();n.set("Accept","text/event-stream"),t&&n.set("last-event-id",t);const a=await(this._fetch??fetch)(this._url,{method:"GET",headers:n,signal:this._abortController?.signal});if(!a.ok){if(await a.body?.cancel(),a.status===401&&this._authProvider)return await this._authThenStart();if(a.status===405)return;throw new Nd(a.status,`Failed to open SSE stream: ${a.statusText}`)}this._handleSseStream(a.body,e,!0)}catch(n){throw this.onerror?.(n),n}}_getNextReconnectionDelay(e){if(this._serverRetryMs!==void 0)return this._serverRetryMs;const t=this._reconnectionOptions.initialReconnectionDelay,n=this._reconnectionOptions.reconnectionDelayGrowFactor,a=this._reconnectionOptions.maxReconnectionDelay;return Math.min(t*Math.pow(n,e),a)}_scheduleReconnection(e,t=0){const n=this._reconnectionOptions.maxRetries;if(t>=n){this.onerror?.(new Error(`Maximum reconnection attempts (${n}) exceeded.`));return}const a=this._getNextReconnectionDelay(t);this._reconnectionTimeout=setTimeout(()=>{this._startOrAuthSse(e).catch(i=>{this.onerror?.(new Error(`Failed to reconnect SSE stream: ${i instanceof Error?i.message:String(i)}`)),this._scheduleReconnection(e,t+1)})},a)}_handleSseStream(e,t,n){if(!e)return;const{onresumptiontoken:a,replayMessageId:i}=t;let s,o=!1,l=!1;(async()=>{try{const u=e.pipeThrough(new TextDecoderStream).pipeThrough(new G_e({onRetry:p=>{this._serverRetryMs=p}})).getReader();for(;;){const{value:p,done:m}=await u.read();if(m)break;if(p.id&&(s=p.id,o=!0,a?.(p.id)),!!p.data&&(!p.event||p.event==="message"))try{const g=im.parse(JSON.parse(p.data));Wp(g)&&(l=!0,i!==void 0&&(g.id=i)),this.onmessage?.(g)}catch(g){this.onerror?.(g)}}(n||o)&&!l&&this._abortController&&!this._abortController.signal.aborted&&this._scheduleReconnection({resumptionToken:s,onresumptiontoken:a,replayMessageId:i},0)}catch(u){if(this.onerror?.(new Error(`SSE stream disconnected: ${u}`)),(n||o)&&!l&&this._abortController&&!this._abortController.signal.aborted)try{this._scheduleReconnection({resumptionToken:s,onresumptiontoken:a,replayMessageId:i},0)}catch(p){this.onerror?.(new Error(`Failed to reconnect: ${p instanceof Error?p.message:String(p)}`))}}})()}async start(){if(this._abortController)throw new Error("StreamableHTTPClientTransport already started! If using Client class, note that connect() calls start() automatically.");this._abortController=new AbortController}async finishAuth(e){if(!this._authProvider)throw new jo("No auth provider");if(await Bd(this._authProvider,{serverUrl:this._url,authorizationCode:e,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new jo("Failed to authorize")}async close(){this._reconnectionTimeout&&(clearTimeout(this._reconnectionTimeout),this._reconnectionTimeout=void 0),this._abortController?.abort(),this.onclose?.()}async send(e,t){try{const{resumptionToken:n,onresumptiontoken:a}=t||{};if(n){this._startOrAuthSse({resumptionToken:n,replayMessageId:w3(e)?e.id:void 0}).catch(h=>this.onerror?.(h));return}const i=await this._commonHeaders();i.set("content-type","application/json"),i.set("accept","application/json, text/event-stream");const s={...this._requestInit,method:"POST",headers:i,body:JSON.stringify(e),signal:this._abortController?.signal},o=await(this._fetch??fetch)(this._url,s),l=o.headers.get("mcp-session-id");if(l&&(this._sessionId=l),!o.ok){const h=await o.text().catch(()=>null);if(o.status===401&&this._authProvider){if(this._hasCompletedAuthFlow)throw new Nd(401,"Server returned 401 after successful authentication");const{resourceMetadataUrl:p,scope:m}=Rb(o);if(this._resourceMetadataUrl=p,this._scope=m,await Bd(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new jo;return this._hasCompletedAuthFlow=!0,this.send(e)}if(o.status===403&&this._authProvider){const{resourceMetadataUrl:p,scope:m,error:g}=Rb(o);if(g==="insufficient_scope"){const b=o.headers.get("WWW-Authenticate");if(this._lastUpscopingHeader===b)throw new Nd(403,"Server returned 403 after trying upscoping");if(m&&(this._scope=m),p&&(this._resourceMetadataUrl=p),this._lastUpscopingHeader=b??void 0,await Bd(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetch})!=="AUTHORIZED")throw new jo;return this.send(e)}}throw new Nd(o.status,`Error POSTing to endpoint: ${h}`)}if(this._hasCompletedAuthFlow=!1,this._lastUpscopingHeader=void 0,o.status===202){await o.body?.cancel(),vme(e)&&this._startOrAuthSse({resumptionToken:void 0}).catch(h=>this.onerror?.(h));return}const u=(Array.isArray(e)?e:[e]).filter(h=>"method"in h&&"id"in h&&h.id!==void 0).length>0,d=o.headers.get("content-type");if(u)if(d?.includes("text/event-stream"))this._handleSseStream(o.body,{onresumptiontoken:a},!1);else if(d?.includes("application/json")){const h=await o.json(),p=Array.isArray(h)?h.map(m=>im.parse(m)):[im.parse(h)];for(const m of p)this.onmessage?.(m)}else throw await o.body?.cancel(),new Nd(-1,`Unexpected content type: ${d}`);else await o.body?.cancel()}catch(n){throw this.onerror?.(n),n}}get sessionId(){return this._sessionId}async terminateSession(){if(this._sessionId)try{const e=await this._commonHeaders(),t={...this._requestInit,method:"DELETE",headers:e,signal:this._abortController?.signal},n=await(this._fetch??fetch)(this._url,t);if(await n.body?.cancel(),!n.ok&&n.status!==405)throw new Nd(n.status,`Failed to terminate session: ${n.statusText}`);this._sessionId=void 0}catch(e){throw this.onerror?.(e),e}}setProtocolVersion(e){this._protocolVersion=e}get protocolVersion(){return this._protocolVersion}async resumeStream(e,t){await this._startOrAuthSse({resumptionToken:e,onresumptiontoken:t?.onresumptiontoken})}}class dD extends Event{constructor(e,t){var n,a;super(e),this.code=(n=t?.code)!=null?n:void 0,this.message=(a=t?.message)!=null?a:void 0}[Symbol.for("nodejs.util.inspect.custom")](e,t,n){return n(hD(this),t)}[Symbol.for("Deno.customInspect")](e,t){return e(hD(this),t)}}function H_e(r){const e=globalThis.DOMException;return typeof e=="function"?new e(r,"SyntaxError"):new SyntaxError(r)}function L3(r){return r instanceof Error?"errors"in r&&Array.isArray(r.errors)?r.errors.map(L3).join(", "):"cause"in r&&r.cause instanceof Error?`${r}: ${L3(r.cause)}`:r.message:`${r}`}function hD(r){return{type:r.type,message:r.message,code:r.code,defaultPrevented:r.defaultPrevented,cancelable:r.cancelable,timeStamp:r.timeStamp}}var JG=r=>{throw TypeError(r)},cx=(r,e,t)=>e.has(r)||JG("Cannot "+t),En=(r,e,t)=>(cx(r,e,"read from private field"),t?t.call(r):e.get(r)),ti=(r,e,t)=>e.has(r)?JG("Cannot add the same private member more than once"):e instanceof WeakSet?e.add(r):e.set(r,t),_a=(r,e,t,n)=>(cx(r,e,"write to private field"),e.set(r,t),t),hc=(r,e,t)=>(cx(r,e,"access private method"),t),Cs,Md,Bh,w_,Ob,sm,Zh,om,vu,Uh,ff,$h,jp,Ho,F3,B3,U3,fD,$3,G3,Kp,z3,q3;class T_ extends EventTarget{constructor(e,t){var n,a;super(),ti(this,Ho),this.CONNECTING=0,this.OPEN=1,this.CLOSED=2,ti(this,Cs),ti(this,Md),ti(this,Bh),ti(this,w_),ti(this,Ob),ti(this,sm),ti(this,Zh),ti(this,om,null),ti(this,vu),ti(this,Uh),ti(this,ff,null),ti(this,$h,null),ti(this,jp,null),ti(this,B3,async i=>{var s;En(this,Uh).reset();const{body:o,redirected:l,status:c,headers:u}=i;if(c===204){hc(this,Ho,Kp).call(this,"Server sent HTTP 204, not reconnecting",204),this.close();return}if(l?_a(this,Bh,new URL(i.url)):_a(this,Bh,void 0),c!==200){hc(this,Ho,Kp).call(this,`Non-200 status code (${c})`,c);return}if(!(u.get("content-type")||"").startsWith("text/event-stream")){hc(this,Ho,Kp).call(this,'Invalid content type, expected "text/event-stream"',c);return}if(En(this,Cs)===this.CLOSED)return;_a(this,Cs,this.OPEN);const d=new Event("open");if((s=En(this,jp))==null||s.call(this,d),this.dispatchEvent(d),typeof o!="object"||!o||!("getReader"in o)){hc(this,Ho,Kp).call(this,"Invalid response body, expected a web ReadableStream",c),this.close();return}const h=new TextDecoder,p=o.getReader();let m=!0;do{const{done:g,value:b}=await p.read();b&&En(this,Uh).feed(h.decode(b,{stream:!g})),g&&(m=!1,En(this,Uh).reset(),hc(this,Ho,z3).call(this))}while(m)}),ti(this,U3,i=>{_a(this,vu,void 0),!(i.name==="AbortError"||i.type==="aborted")&&hc(this,Ho,z3).call(this,L3(i))}),ti(this,$3,i=>{typeof i.id=="string"&&_a(this,om,i.id);const s=new MessageEvent(i.event||"message",{data:i.data,origin:En(this,Bh)?En(this,Bh).origin:En(this,Md).origin,lastEventId:i.id||""});En(this,$h)&&(!i.event||i.event==="message")&&En(this,$h).call(this,s),this.dispatchEvent(s)}),ti(this,G3,i=>{_a(this,sm,i)}),ti(this,q3,()=>{_a(this,Zh,void 0),En(this,Cs)===this.CONNECTING&&hc(this,Ho,F3).call(this)});try{if(e instanceof URL)_a(this,Md,e);else if(typeof e=="string")_a(this,Md,new URL(e,V_e()));else throw new Error("Invalid URL")}catch{throw H_e("An invalid or illegal string was specified")}_a(this,Uh,ZG({onEvent:En(this,$3),onRetry:En(this,G3)})),_a(this,Cs,this.CONNECTING),_a(this,sm,3e3),_a(this,Ob,(n=t?.fetch)!=null?n:globalThis.fetch),_a(this,w_,(a=t?.withCredentials)!=null?a:!1),hc(this,Ho,F3).call(this)}get readyState(){return En(this,Cs)}get url(){return En(this,Md).href}get withCredentials(){return En(this,w_)}get onerror(){return En(this,ff)}set onerror(e){_a(this,ff,e)}get onmessage(){return En(this,$h)}set onmessage(e){_a(this,$h,e)}get onopen(){return En(this,jp)}set onopen(e){_a(this,jp,e)}addEventListener(e,t,n){const a=t;super.addEventListener(e,a,n)}removeEventListener(e,t,n){const a=t;super.removeEventListener(e,a,n)}close(){En(this,Zh)&&clearTimeout(En(this,Zh)),En(this,Cs)!==this.CLOSED&&(En(this,vu)&&En(this,vu).abort(),_a(this,Cs,this.CLOSED),_a(this,vu,void 0))}}Cs=new WeakMap,Md=new WeakMap,Bh=new WeakMap,w_=new WeakMap,Ob=new WeakMap,sm=new WeakMap,Zh=new WeakMap,om=new WeakMap,vu=new WeakMap,Uh=new WeakMap,ff=new WeakMap,$h=new WeakMap,jp=new WeakMap,Ho=new WeakSet,F3=function(){_a(this,Cs,this.CONNECTING),_a(this,vu,new AbortController),En(this,Ob)(En(this,Md),hc(this,Ho,fD).call(this)).then(En(this,B3)).catch(En(this,U3))},B3=new WeakMap,U3=new WeakMap,fD=function(){var r;const e={mode:"cors",redirect:"follow",headers:{Accept:"text/event-stream",...En(this,om)?{"Last-Event-ID":En(this,om)}:void 0},cache:"no-store",signal:(r=En(this,vu))==null?void 0:r.signal};return"window"in globalThis&&(e.credentials=this.withCredentials?"include":"same-origin"),e},$3=new WeakMap,G3=new WeakMap,Kp=function(r,e){var t;En(this,Cs)!==this.CLOSED&&_a(this,Cs,this.CLOSED);const n=new dD("error",{code:e,message:r});(t=En(this,ff))==null||t.call(this,n),this.dispatchEvent(n)},z3=function(r,e){var t;if(En(this,Cs)===this.CLOSED)return;_a(this,Cs,this.CONNECTING);const n=new dD("error",{code:e,message:r});(t=En(this,ff))==null||t.call(this,n),this.dispatchEvent(n),_a(this,Zh,setTimeout(En(this,q3),En(this,sm)))},q3=new WeakMap,T_.CONNECTING=0,T_.OPEN=1,T_.CLOSED=2;function V_e(){const r="document"in globalThis?globalThis.document:void 0;return r&&typeof r=="object"&&"baseURI"in r&&typeof r.baseURI=="string"?r.baseURI:void 0}class Y_e extends Error{constructor(e,t,n){super(`SSE error: ${t}`),this.code=e,this.event=n}}class W_e{constructor(e,t){this._url=e,this._resourceMetadataUrl=void 0,this._scope=void 0,this._eventSourceInit=t?.eventSourceInit,this._requestInit=t?.requestInit,this._authProvider=t?.authProvider,this._fetch=t?.fetch,this._fetchWithInit=jG(t?.fetch,t?.requestInit)}async _authThenStart(){if(!this._authProvider)throw new jo("No auth provider");let e;try{e=await Bd(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(t){throw this.onerror?.(t),t}if(e!=="AUTHORIZED")throw new jo;return await this._startOrAuth()}async _commonHeaders(){const e={};if(this._authProvider){const n=await this._authProvider.tokens();n&&(e.Authorization=`Bearer ${n.access_token}`)}this._protocolVersion&&(e["mcp-protocol-version"]=this._protocolVersion);const t=wb(this._requestInit?.headers);return new Headers({...e,...t})}_startOrAuth(){const e=this?._eventSourceInit?.fetch??this._fetch??fetch;return new Promise((t,n)=>{this._eventSource=new T_(this._url.href,{...this._eventSourceInit,fetch:async(a,i)=>{const s=await this._commonHeaders();s.set("Accept","text/event-stream");const o=await e(a,{...i,headers:s});if(o.status===401&&o.headers.has("www-authenticate")){const{resourceMetadataUrl:l,scope:c}=Rb(o);this._resourceMetadataUrl=l,this._scope=c}return o}}),this._abortController=new AbortController,this._eventSource.onerror=a=>{if(a.code===401&&this._authProvider){this._authThenStart().then(t,n);return}const i=new Y_e(a.code,a.message,a);n(i),this.onerror?.(i)},this._eventSource.onopen=()=>{},this._eventSource.addEventListener("endpoint",a=>{const i=a;try{if(this._endpoint=new URL(i.data,this._url),this._endpoint.origin!==this._url.origin)throw new Error(`Endpoint origin does not match connection origin: ${this._endpoint.origin}`)}catch(s){n(s),this.onerror?.(s),this.close();return}t()}),this._eventSource.onmessage=a=>{const i=a;let s;try{s=im.parse(JSON.parse(i.data))}catch(o){this.onerror?.(o);return}this.onmessage?.(s)}})}async start(){if(this._eventSource)throw new Error("SSEClientTransport already started! If using Client class, note that connect() calls start() automatically.");return await this._startOrAuth()}async finishAuth(e){if(!this._authProvider)throw new jo("No auth provider");if(await Bd(this._authProvider,{serverUrl:this._url,authorizationCode:e,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new jo("Failed to authorize")}async close(){this._abortController?.abort(),this._eventSource?.close(),this.onclose?.()}async send(e){if(!this._endpoint)throw new Error("Not connected");try{const t=await this._commonHeaders();t.set("content-type","application/json");const n={...this._requestInit,method:"POST",headers:t,body:JSON.stringify(e),signal:this._abortController?.signal},a=await(this._fetch??fetch)(this._endpoint,n);if(!a.ok){const i=await a.text().catch(()=>null);if(a.status===401&&this._authProvider){const{resourceMetadataUrl:s,scope:o}=Rb(a);if(this._resourceMetadataUrl=s,this._scope=o,await Bd(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new jo;return this.send(e)}throw new Error(`Error POSTing to endpoint (HTTP ${a.status}): ${i}`)}await a.body?.cancel()}catch(t){throw this.onerror?.(t),t}}setProtocolVersion(e){this._protocolVersion=e}}const j_e="mcp";class K_e{constructor(e){this._url=e}start(){if(this._socket)throw new Error("WebSocketClientTransport already started! If using Client class, note that connect() calls start() automatically.");return new Promise((e,t)=>{this._socket=new WebSocket(this._url,j_e),this._socket.onerror=n=>{const a="error"in n?n.error:new Error(`WebSocket error: ${JSON.stringify(n)}`);t(a),this.onerror?.(a)},this._socket.onopen=()=>{e()},this._socket.onclose=()=>{this.onclose?.()},this._socket.onmessage=n=>{let a;try{a=im.parse(JSON.parse(n.data))}catch(i){this.onerror?.(i);return}this.onmessage?.(a)}})}async close(){this._socket?.close()}send(e){return new Promise((t,n)=>{if(!this._socket){n(new Error("Not connected"));return}this._socket?.send(JSON.stringify(e)),t()})}}class Vn{static createLog(e,t,n=Du.INFO,a){return{timestamp:new Date,phase:e,message:t,level:n,details:a}}static isSessionExpiredError(e){return e instanceof Nd&&e.code===404}static createTransport(e){if(!e.url)throw new Error("MCP server configuration is missing url");const t=e.useProxy??!1,n={};if(e.headers&&(n.headers=e.useProxy?gle(e.headers):e.headers),t&&(n.headers={...$v(),...n.headers}),e.credentials&&(n.credentials=e.credentials),e.transport===Os.WEBSOCKET){if(t)throw new Error("WebSocket transport is not supported when using CORS proxy. Use HTTP transport instead.");const i=new URL(e.url);return{transport:new K_e(i),type:Os.WEBSOCKET}}const a=t?u$(e.url):new URL(e.url);try{return{transport:new q_e(a,{requestInit:n}),type:Os.STREAMABLE_HTTP}}catch(i){console.warn("[MCPService] StreamableHTTP failed, trying SSE transport...",i);try{return{transport:new W_e(a,{requestInit:n}),type:Os.SSE}}catch(s){const o=i instanceof Error?i.message:String(i),l=s instanceof Error?s.message:String(s);throw new Error(`Failed to create transport. StreamableHTTP: ${o}; SSE: ${l}`)}}}static extractServerInfo(e){if(e)return{name:e.name,version:e.version,title:e.title,description:e.description,websiteUrl:e.websiteUrl,icons:e.icons?.map(t=>({src:t.src,mimeType:t.mimeType,sizes:t.sizes}))}}static async connect(e,t,n,a,i,s){const o=performance.now(),l=n??Va.clientInfo,c=a??Va.capabilities;i?.(Na.TRANSPORT_CREATING,this.createLog(Na.TRANSPORT_CREATING,`Creating transport for ${t.url}`));const{transport:u,type:d}=this.createTransport(t);d===Os.WEBSOCKET&&(u.onclose=()=>{console.log(`[MCPService][${e}] WebSocket closed, notifying for reconnection`),i?.(Na.DISCONNECTED,this.createLog(Na.DISCONNECTED,"WebSocket connection closed"))}),i?.(Na.TRANSPORT_READY,this.createLog(Na.TRANSPORT_READY,`Transport ready (${d})`),{transportType:d});const h=new a_e({name:l.name,version:l.version??jU},{capabilities:c,listChanged:s});i?.(Na.INITIALIZING,this.createLog(Na.INITIALIZING,"Sending initialize request...")),console.log(`[MCPService][${e}] Connecting to server...`),await h.connect(u);const p=h.getServerVersion(),m=h.getServerCapabilities(),g=h.getInstructions(),b=this.extractServerInfo(p);i?.(Na.CAPABILITIES_EXCHANGED,this.createLog(Na.CAPABILITIES_EXCHANGED,"Capabilities exchanged successfully",Du.INFO,{serverCapabilities:m,serverInfo:b}),{serverInfo:b,serverCapabilities:m,clientCapabilities:c,instructions:g}),i?.(Na.LISTING_TOOLS,this.createLog(Na.LISTING_TOOLS,"Listing available tools...")),console.log(`[MCPService][${e}] Connected, listing tools...`);const _=await this.listTools({client:h,transport:u,tools:[],serverName:e,transportType:d,connectionTimeMs:0}),v=Math.round(performance.now()-o);return i?.(Na.CONNECTED,this.createLog(Na.CONNECTED,`Connection established with ${_.length} tools (${v}ms)`)),console.log(`[MCPService][${e}] Initialization complete with ${_.length} tools in ${v}ms`),{client:h,transport:u,tools:_,serverName:e,transportType:d,serverInfo:b,serverCapabilities:m,clientCapabilities:c,protocolVersion:Va.protocolVersion,instructions:g,connectionTimeMs:v}}static async disconnect(e){console.log(`[MCPService][${e.serverName}] Disconnecting...`);try{e.transport.onclose&&(e.transport.onclose=void 0),await e.client.close()}catch(t){console.warn(`[MCPService][${e.serverName}] Error during disconnect:`,t)}}static async listTools(e){try{return(await e.client.listTools()).tools??[]}catch(t){if(this.isSessionExpiredError(t))throw t;return console.warn(`[MCPService][${e.serverName}] Failed to list tools:`,t),[]}}static async listPrompts(e){try{return(await e.client.listPrompts()).prompts??[]}catch(t){if(this.isSessionExpiredError(t))throw t;return console.warn(`[MCPService][${e.serverName}] Failed to list prompts:`,t),[]}}static async getPrompt(e,t,n){try{return await e.client.getPrompt({name:t,arguments:n})}catch(a){throw console.error(`[MCPService][${e.serverName}] Failed to get prompt:`,a),a}}static async callTool(e,t,n){Jce(n);try{const a=await e.client.callTool({name:t.name,arguments:t.arguments},void 0,{signal:n});return{content:this.formatToolResult(a),isError:a.isError??!1}}catch(a){if(El(a)||this.isSessionExpiredError(a))throw a;const i=a instanceof Error?a.message:String(a);throw new Error(`Tool "${t.name}" execution failed on server "${e.serverName}": ${i}`,{cause:a instanceof Error?a:void 0})}}static formatToolResult(e){const t=e.content;return Array.isArray(t)?t.map(n=>this.formatSingleContent(n)).filter(Boolean).join(`
-`):""}static formatSingleContent(e){if(e.type===v_.TEXT&&e.text)return e.text;if(e.type===v_.IMAGE&&e.data)return hb(e.mimeType??One,e.data);if(e.type===v_.RESOURCE&&e.resource){const t=e.resource;return t.text?t.text:t.blob?t.blob:JSON.stringify(t)}return e.data&&e.mimeType?hb(e.mimeType,e.data):JSON.stringify(e)}static async complete(e,t,n){try{return(await e.client.complete({ref:t,argument:n})).completion}catch(a){return console.error("[MCPService] Failed to get completions:",a),null}}static async listResources(e,t){try{const n=await e.client.listResources(t?{cursor:t}:void 0);return{resources:n.resources??[],nextCursor:n.nextCursor}}catch(n){if(this.isSessionExpiredError(n))throw n;return console.warn(`[MCPService][${e.serverName}] Failed to list resources:`,n),{resources:[]}}}static async listAllResources(e){const t=[];let n;do{const a=await this.listResources(e,n);t.push(...a.resources),n=a.nextCursor}while(n);return t}static async listResourceTemplates(e,t){try{const n=await e.client.listResourceTemplates(t?{cursor:t}:void 0);return{resourceTemplates:n.resourceTemplates??[],nextCursor:n.nextCursor}}catch(n){if(this.isSessionExpiredError(n))throw n;return console.warn(`[MCPService][${e.serverName}] Failed to list resource templates:`,n),{resourceTemplates:[]}}}static async listAllResourceTemplates(e){const t=[];let n;do{const a=await this.listResourceTemplates(e,n);t.push(...a.resourceTemplates),n=a.nextCursor}while(n);return t}static async readResource(e,t){try{const n=await e.client.readResource({uri:t});return{contents:n.contents??[],_meta:n._meta}}catch(n){throw console.error(`[MCPService][${e.serverName}] Failed to read resource:`,n),n}}static async subscribeResource(e,t){try{await e.client.subscribeResource({uri:t}),console.log(`[MCPService][${e.serverName}] Subscribed to resource: ${t}`)}catch(n){throw console.error(`[MCPService][${e.serverName}] Failed to subscribe to resource:`,n),n}}static async unsubscribeResource(e,t){try{await e.client.unsubscribeResource({uri:t}),console.log(`[MCPService][${e.serverName}] Unsubscribed from resource: ${t}`)}catch(n){throw console.error(`[MCPService][${e.serverName}] Failed to unsubscribe from resource:`,n),n}}static supportsResources(e){return e.serverCapabilities?.resources!==void 0}static supportsResourceSubscriptions(e){return!!e.serverCapabilities?.resources?.subscribe}}function X_e(){return`${Wne}-${Date.now()}-${Math.random().toString(36).substring(2,9)}`}class Q_e{#e=_e(Sr(new Oi));get _serverResources(){return f(this.#e)}set _serverResources(e){M(this.#e,e,!0)}#t=_e(Sr(new Oi));get _cachedResources(){return f(this.#t)}set _cachedResources(e){M(this.#t,e,!0)}#r=_e(Sr(new Oi));get _subscriptions(){return f(this.#r)}set _subscriptions(e){M(this.#r,e,!0)}#n=_e(Sr([]));get _attachments(){return f(this.#n)}set _attachments(e){M(this.#n,e,!0)}#i=_e(!1);get _isLoading(){return f(this.#i)}set _isLoading(e){M(this.#i,e,!0)}get serverResources(){return this._serverResources}get cachedResources(){return this._cachedResources}get subscriptions(){return this._subscriptions}get attachments(){return this._attachments}get isLoading(){return this._isLoading}get totalResourceCount(){let e=0;for(const t of this._serverResources.values())e+=t.resources.length;return e}get totalTemplateCount(){let e=0;for(const t of this._serverResources.values())e+=t.templates.length;return e}get attachmentCount(){return this._attachments.length}get hasAttachments(){return this._attachments.length>0}setServerResources(e,t,n){this._serverResources.set(e,{serverName:e,resources:t,templates:n,lastFetched:new Date,loading:!1,error:void 0}),console.log(`[MCPResources][${e}] Set ${t.length} resources, ${n.length} templates`)}setServerLoading(e,t){const n=this._serverResources.get(e);n?this._serverResources.set(e,{...n,loading:t}):this._serverResources.set(e,{serverName:e,resources:[],templates:[],loading:t,error:void 0})}setServerError(e,t){const n=this._serverResources.get(e);n?this._serverResources.set(e,{...n,loading:!1,error:t}):this._serverResources.set(e,{serverName:e,resources:[],templates:[],loading:!1,error:t})}getServerResources(e){return this._serverResources.get(e)}getAllResourceInfos(){const e=[];for(const[t,n]of this._serverResources)for(const a of n.resources)e.push({uri:a.uri,name:a.name,title:a.title,description:a.description,mimeType:a.mimeType,serverName:t,annotations:a.annotations,icons:a.icons});return e}getAllTemplateInfos(){const e=[];for(const[t,n]of this._serverResources)for(const a of n.templates)e.push({uriTemplate:a.uriTemplate,name:a.name,title:a.title,description:a.description,mimeType:a.mimeType,serverName:t,annotations:a.annotations,icons:a.icons});return e}clearServerResources(e){this._serverResources.delete(e);for(const[t,n]of this._cachedResources)n.resource.serverName===e&&this._cachedResources.delete(t);for(const[t,n]of this._subscriptions)n.serverName===e&&this._subscriptions.delete(t);console.log(`[MCPResources][${e}] Cleared all resources`)}cacheResourceContent(e,t){if(this._cachedResources.size>=Gre){const n=this._cachedResources.keys().next().value;n&&this._cachedResources.delete(n)}this._cachedResources.set(e.uri,{resource:e,content:t,fetchedAt:new Date,subscribed:this._subscriptions.has(e.uri)}),console.log(`[MCPResources] Cached content for: ${e.uri}`)}getCachedContent(e){const t=this._cachedResources.get(e);if(!t)return;if(Date.now()-t.fetchedAt.getTime()>zre&&!t.subscribed){this._cachedResources.delete(e);return}return t}invalidateCache(e){this._cachedResources.delete(e),console.log(`[MCPResources] Invalidated cache for: ${e}`)}clearCache(){this._cachedResources.clear(),console.log("[MCPResources] Cleared all cached content")}addSubscription(e,t){this._subscriptions.set(e,{uri:e,serverName:t,subscribedAt:new Date});const n=this._cachedResources.get(e);n&&this._cachedResources.set(e,{...n,subscribed:!0}),console.log(`[MCPResources] Added subscription: ${e}`)}removeSubscription(e){this._subscriptions.delete(e);const t=this._cachedResources.get(e);t&&this._cachedResources.set(e,{...t,subscribed:!1}),console.log(`[MCPResources] Removed subscription: ${e}`)}isSubscribed(e){return this._subscriptions.has(e)}handleResourceUpdate(e){this.invalidateCache(e);const t=this._subscriptions.get(e);t&&this._subscriptions.set(e,{...t,lastUpdate:new Date}),console.log(`[MCPResources] Resource updated: ${e}`)}handleResourcesListChanged(e){const t=this._serverResources.get(e);t&&this._serverResources.set(e,{...t,lastFetched:void 0}),console.log(`[MCPResources][${e}] Resources list changed, needs refresh`)}addAttachment(e){const t={id:X_e(),resource:e,loading:!0};return this._attachments=[...this._attachments,t],console.log(`[MCPResources] Added attachment: ${e.uri}`),t}updateAttachmentContent(e,t){this._attachments=this._attachments.map(n=>n.id===e?{...n,content:t,loading:!1,error:void 0}:n)}updateAttachmentError(e,t){this._attachments=this._attachments.map(n=>n.id===e?{...n,loading:!1,error:t}:n)}removeAttachment(e){this._attachments=this._attachments.filter(t=>t.id!==e),console.log(`[MCPResources] Removed attachment: ${e}`)}clearAttachments(){this._attachments=[],console.log("[MCPResources] Cleared all attachments")}getAttachment(e){return this._attachments.find(t=>t.id===e)}isAttached(e){const t=f0(e);return this._attachments.some(n=>n.resource.uri===e||f0(n.resource.uri)===t)}setLoading(e){this._isLoading=e}findResourceByUri(e){const t=f0(e);for(const[n,a]of this._serverResources){const i=a.resources.find(s=>s.uri===e)??a.resources.find(s=>f0(s.uri)===t);if(i)return{uri:i.uri,name:i.name,title:i.title,description:i.description,mimeType:i.mimeType,serverName:n,annotations:i.annotations,icons:i.icons}}}findServerForUri(e){for(const[t,n]of this._serverResources)if(n.resources.some(a=>a.uri===e))return t}clear(){this._serverResources.clear(),this._cachedResources.clear(),this._subscriptions.clear(),this._attachments=[],this._isLoading=!1,console.log("[MCPResources] Cleared all state")}formatAttachmentsForContext(){if(this._attachments.length===0)return"";const e=[];for(const t of this._attachments){if(t.error||!t.content||t.content.length===0)continue;const n=t.resource.title||t.resource.name,a=t.resource.serverName;for(const i of t.content)"text"in i&&i.text?e.push(`
+Set the \`cycles\` parameter to \`"ref"\` to resolve cyclical schemas with defs.`)}for(const entry of ctx.seen.entries()){const seen2=entry[1];if(schema===entry[0]){extractToDef(entry);continue}if(ctx.external){const ext=ctx.external.registry.get(entry[0])?.id;if(schema!==entry[0]&&ext){extractToDef(entry);continue}}if(ctx.metadataRegistry.get(entry[0])?.id){extractToDef(entry);continue}if(seen2.cycle){extractToDef(entry);continue}if(seen2.count>1&&ctx.reused==="ref"){extractToDef(entry);continue}}}
+function finalize(ctx,schema){const root2=ctx.seen.get(schema);if(!root2)throw new Error("Unprocessed schema. This is a bug in Zod.");const flattenRef=zodSchema=>{const seen2=ctx.seen.get(zodSchema),schema2=seen2.def??seen2.schema,_cached={...schema2};if(seen2.ref===null)return;const ref2=seen2.ref;if(seen2.ref=null,ref2){flattenRef(ref2);const refSchema=ctx.seen.get(ref2).schema;refSchema.$ref&&(ctx.target==="draft-07"||ctx.target==="draft-04"||ctx.target==="openapi-3.0")?(schema2.allOf=schema2.
+allOf??[],schema2.allOf.push(refSchema)):(Object.assign(schema2,refSchema),Object.assign(schema2,_cached))}seen2.isParent||ctx.override({zodSchema,jsonSchema:schema2,path:seen2.path??[]})};for(const entry of[...ctx.seen.entries()].reverse())flattenRef(entry[0]);const result={};if(ctx.target==="draft-2020-12"?result.$schema="https://json-schema.org/draft/2020-12/schema":ctx.target==="draft-07"?result.$schema="http://json-schema.org/draft-07/schema#":ctx.target==="draft-04"?result.$schema="http://\
+json-schema.org/draft-04/schema#":ctx.target,ctx.external?.uri){const id2=ctx.external.registry.get(schema)?.id;if(!id2)throw new Error("Schema is missing an `id` property");result.$id=ctx.external.uri(id2)}Object.assign(result,root2.def??root2.schema);const defs=ctx.external?.defs??{};for(const entry of ctx.seen.entries()){const seen2=entry[1];seen2.def&&seen2.defId&&(defs[seen2.defId]=seen2.def)}ctx.external||Object.keys(defs).length>0&&(ctx.target==="draft-2020-12"?result.$defs=defs:result.definitions=
+defs);try{const finalized=JSON.parse(JSON.stringify(result));return Object.defineProperty(finalized,"~standard",{value:{...schema["~standard"],jsonSchema:{input:createStandardJSONSchemaMethod(schema,"input"),output:createStandardJSONSchemaMethod(schema,"output")}},enumerable:!1,writable:!1}),finalized}catch{throw new Error("Error converting schema to JSON.")}}function isTransforming(_schema,_ctx){const ctx=_ctx??{seen:new Set};if(ctx.seen.has(_schema))return!1;ctx.seen.add(_schema);const def=_schema.
+_zod.def;if(def.type==="transform")return!0;if(def.type==="array")return isTransforming(def.element,ctx);if(def.type==="set")return isTransforming(def.valueType,ctx);if(def.type==="lazy")return isTransforming(def.getter(),ctx);if(def.type==="promise"||def.type==="optional"||def.type==="nonoptional"||def.type==="nullable"||def.type==="readonly"||def.type==="default"||def.type==="prefault")return isTransforming(def.innerType,ctx);if(def.type==="intersection")return isTransforming(def.left,ctx)||isTransforming(
+def.right,ctx);if(def.type==="record"||def.type==="map")return isTransforming(def.keyType,ctx)||isTransforming(def.valueType,ctx);if(def.type==="pipe")return isTransforming(def.in,ctx)||isTransforming(def.out,ctx);if(def.type==="object"){for(const key2 in def.shape)if(isTransforming(def.shape[key2],ctx))return!0;return!1}if(def.type==="union"){for(const option2 of def.options)if(isTransforming(option2,ctx))return!0;return!1}if(def.type==="tuple"){for(const item of def.items)if(isTransforming(item,
+ctx))return!0;return!!(def.rest&&isTransforming(def.rest,ctx))}return!1}const createToJSONSchemaMethod=(schema,processors={})=>params=>{const ctx=initializeContext({...params,processors});return process$1(schema,ctx),extractDefs(ctx,schema),finalize(ctx,schema)},createStandardJSONSchemaMethod=(schema,io)=>params=>{const{libraryOptions,target:target2}=params??{},ctx=initializeContext({...libraryOptions??{},target:target2,io,processors:{}});return process$1(schema,ctx),extractDefs(ctx,schema),finalize(
+ctx,schema)},formatMap={guid:"uuid",url:"uri",datetime:"date-time",json_string:"json-string",regex:""},stringProcessor=(schema,ctx,_json,_params)=>{const json2=_json;json2.type="string";const{minimum,maximum,format:format2,patterns,contentEncoding}=schema._zod.bag;if(typeof minimum=="number"&&(json2.minLength=minimum),typeof maximum=="number"&&(json2.maxLength=maximum),format2&&(json2.format=formatMap[format2]??format2,json2.format===""&&delete json2.format),contentEncoding&&(json2.contentEncoding=
+contentEncoding),patterns&&patterns.size>0){const regexes=[...patterns];regexes.length===1?json2.pattern=regexes[0].source:regexes.length>1&&(json2.allOf=[...regexes.map(regex=>({...ctx.target==="draft-07"||ctx.target==="draft-04"||ctx.target==="openapi-3.0"?{type:"string"}:{},pattern:regex.source}))])}},numberProcessor=(schema,ctx,_json,_params)=>{const json2=_json,{minimum,maximum,format:format2,multipleOf:multipleOf2,exclusiveMaximum,exclusiveMinimum}=schema._zod.bag;typeof format2=="string"&&
+format2.includes("int")?json2.type="integer":json2.type="number",typeof exclusiveMinimum=="number"&&(ctx.target==="draft-04"||ctx.target==="openapi-3.0"?(json2.minimum=exclusiveMinimum,json2.exclusiveMinimum=!0):json2.exclusiveMinimum=exclusiveMinimum),typeof minimum=="number"&&(json2.minimum=minimum,typeof exclusiveMinimum=="number"&&ctx.target!=="draft-04"&&(exclusiveMinimum>=minimum?delete json2.minimum:delete json2.exclusiveMinimum)),typeof exclusiveMaximum=="number"&&(ctx.target==="draft-04"||
+ctx.target==="openapi-3.0"?(json2.maximum=exclusiveMaximum,json2.exclusiveMaximum=!0):json2.exclusiveMaximum=exclusiveMaximum),typeof maximum=="number"&&(json2.maximum=maximum,typeof exclusiveMaximum=="number"&&ctx.target!=="draft-04"&&(exclusiveMaximum<=maximum?delete json2.maximum:delete json2.exclusiveMaximum)),typeof multipleOf2=="number"&&(json2.multipleOf=multipleOf2)},booleanProcessor=(_schema,_ctx,json2,_params)=>{json2.type="boolean"},nullProcessor=(_schema,ctx,json2,_params)=>{ctx.target===
+"openapi-3.0"?(json2.type="string",json2.nullable=!0,json2.enum=[null]):json2.type="null"},neverProcessor=(_schema,_ctx,json2,_params)=>{json2.not={}},anyProcessor=(_schema,_ctx,_json,_params)=>{},unknownProcessor=(_schema,_ctx,_json,_params)=>{},enumProcessor=(schema,_ctx,json2,_params)=>{const def=schema._zod.def,values=getEnumValues(def.entries);values.every(v=>typeof v=="number")&&(json2.type="number"),values.every(v=>typeof v=="string")&&(json2.type="string"),json2.enum=values},literalProcessor=(schema,ctx,json2,_params)=>{
+const def=schema._zod.def,vals=[];for(const val of def.values)if(val===void 0){if(ctx.unrepresentable==="throw")throw new Error("Literal `undefined` cannot be represented in JSON Schema")}else if(typeof val=="bigint"){if(ctx.unrepresentable==="throw")throw new Error("BigInt literals cannot be represented in JSON Schema");vals.push(Number(val))}else vals.push(val);if(vals.length!==0)if(vals.length===1){const val=vals[0];json2.type=val===null?"null":typeof val,ctx.target==="draft-04"||ctx.target===
+"openapi-3.0"?json2.enum=[val]:json2.const=val}else vals.every(v=>typeof v=="number")&&(json2.type="number"),vals.every(v=>typeof v=="string")&&(json2.type="string"),vals.every(v=>typeof v=="boolean")&&(json2.type="boolean"),vals.every(v=>v===null)&&(json2.type="null"),json2.enum=vals},customProcessor=(_schema,ctx,_json,_params)=>{if(ctx.unrepresentable==="throw")throw new Error("Custom types cannot be represented in JSON Schema")},transformProcessor=(_schema,ctx,_json,_params)=>{if(ctx.unrepresentable===
+"throw")throw new Error("Transforms cannot be represented in JSON Schema")},arrayProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def,{minimum,maximum}=schema._zod.bag;typeof minimum=="number"&&(json2.minItems=minimum),typeof maximum=="number"&&(json2.maxItems=maximum),json2.type="array",json2.items=process$1(def.element,ctx,{...params,path:[...params.path,"items"]})},objectProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def;json2.type="object",json2.
+properties={};const shape=def.shape;for(const key2 in shape)json2.properties[key2]=process$1(shape[key2],ctx,{...params,path:[...params.path,"properties",key2]});const allKeys=new Set(Object.keys(shape)),requiredKeys=new Set([...allKeys].filter(key2=>{const v=def.shape[key2]._zod;return ctx.io==="input"?v.optin===void 0:v.optout===void 0}));requiredKeys.size>0&&(json2.required=Array.from(requiredKeys)),def.catchall?._zod.def.type==="never"?json2.additionalProperties=!1:def.catchall?def.catchall&&
+(json2.additionalProperties=process$1(def.catchall,ctx,{...params,path:[...params.path,"additionalProperties"]})):ctx.io==="output"&&(json2.additionalProperties=!1)},unionProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def,isExclusive=def.inclusive===!1,options=def.options.map((x,i)=>process$1(x,ctx,{...params,path:[...params.path,isExclusive?"oneOf":"anyOf",i]}));isExclusive?json2.oneOf=options:json2.anyOf=options},intersectionProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.
+def,a=process$1(def.left,ctx,{...params,path:[...params.path,"allOf",0]}),b=process$1(def.right,ctx,{...params,path:[...params.path,"allOf",1]}),isSimpleIntersection=val=>"allOf"in val&&Object.keys(val).length===1,allOf2=[...isSimpleIntersection(a)?a.allOf:[a],...isSimpleIntersection(b)?b.allOf:[b]];json2.allOf=allOf2},recordProcessor=(schema,ctx,_json,params)=>{const json2=_json,def=schema._zod.def;json2.type="object",(ctx.target==="draft-07"||ctx.target==="draft-2020-12")&&(json2.propertyNames=
+process$1(def.keyType,ctx,{...params,path:[...params.path,"propertyNames"]})),json2.additionalProperties=process$1(def.valueType,ctx,{...params,path:[...params.path,"additionalProperties"]})},nullableProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def,inner2=process$1(def.innerType,ctx,params),seen2=ctx.seen.get(schema);ctx.target==="openapi-3.0"?(seen2.ref=def.innerType,json2.nullable=!0):json2.anyOf=[inner2,{type:"null"}]},nonoptionalProcessor=(schema,ctx,_json,params)=>{const def=schema.
+_zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType},defaultProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,json2.default=JSON.parse(JSON.stringify(def.defaultValue))},prefaultProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,ctx.io===
+"input"&&(json2._prefault=JSON.parse(JSON.stringify(def.defaultValue)))},catchProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType;let catchValue;try{catchValue=def.catchValue(void 0)}catch{throw new Error("Dynamic catch values are not supported in JSON Schema")}json2.default=catchValue},pipeProcessor=(schema,ctx,_json,params)=>{const def=schema._zod.def,innerType=ctx.io==="input"?def.in._zod.
+def.type==="transform"?def.out:def.in:def.out;process$1(innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=innerType},readonlyProcessor=(schema,ctx,json2,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType,json2.readOnly=!0},optionalProcessor=(schema,ctx,_json,params)=>{const def=schema._zod.def;process$1(def.innerType,ctx,params);const seen2=ctx.seen.get(schema);seen2.ref=def.innerType};function isZ4Schema(s2){
+return!!s2._zod}function safeParse$1(schema,data){return isZ4Schema(schema)?safeParse$2(schema,data):schema.safeParse(data)}function getObjectShape(schema){if(!schema)return;let rawShape;if(isZ4Schema(schema)?rawShape=schema._zod?.def?.shape:rawShape=schema.shape,!!rawShape){if(typeof rawShape=="function")try{return rawShape()}catch{return}return rawShape}}function getLiteralValue(schema){if(isZ4Schema(schema)){const def2=schema._zod?.def;if(def2){if(def2.value!==void 0)return def2.value;if(Array.
+isArray(def2.values)&&def2.values.length>0)return def2.values[0]}}const def=schema._def;if(def){if(def.value!==void 0)return def.value;if(Array.isArray(def.values)&&def.values.length>0)return def.values[0]}const directValue=schema.value;if(directValue!==void 0)return directValue}const ZodISODateTime=$constructor("ZodISODateTime",(inst,def)=>{$ZodISODateTime.init(inst,def),ZodStringFormat.init(inst,def)});function datetime(params){return _isoDateTime(ZodISODateTime,params)}const ZodISODate=$constructor(
+"ZodISODate",(inst,def)=>{$ZodISODate.init(inst,def),ZodStringFormat.init(inst,def)});function date(params){return _isoDate(ZodISODate,params)}const ZodISOTime=$constructor("ZodISOTime",(inst,def)=>{$ZodISOTime.init(inst,def),ZodStringFormat.init(inst,def)});function time(params){return _isoTime(ZodISOTime,params)}const ZodISODuration=$constructor("ZodISODuration",(inst,def)=>{$ZodISODuration.init(inst,def),ZodStringFormat.init(inst,def)});function duration(params){return _isoDuration(ZodISODuration,
+params)}const initializer=(inst,issues)=>{$ZodError.init(inst,issues),inst.name="ZodError",Object.defineProperties(inst,{format:{value:mapper=>formatError(inst,mapper)},flatten:{value:mapper=>flattenError$1(inst,mapper)},addIssue:{value:issue2=>{inst.issues.push(issue2),inst.message=JSON.stringify(inst.issues,jsonStringifyReplacer,2)}},addIssues:{value:issues2=>{inst.issues.push(...issues2),inst.message=JSON.stringify(inst.issues,jsonStringifyReplacer,2)}},isEmpty:{get(){return inst.issues.length===
+0}}})},ZodRealError=$constructor("ZodError",initializer,{Parent:Error}),parse$3=_parse(ZodRealError),parseAsync=_parseAsync(ZodRealError),safeParse=_safeParse(ZodRealError),safeParseAsync=_safeParseAsync(ZodRealError),encode=_encode(ZodRealError),decode$1=_decode(ZodRealError),encodeAsync=_encodeAsync(ZodRealError),decodeAsync=_decodeAsync(ZodRealError),safeEncode=_safeEncode(ZodRealError),safeDecode=_safeDecode(ZodRealError),safeEncodeAsync=_safeEncodeAsync(ZodRealError),safeDecodeAsync=_safeDecodeAsync(
+ZodRealError),ZodType=$constructor("ZodType",(inst,def)=>($ZodType.init(inst,def),Object.assign(inst["~standard"],{jsonSchema:{input:createStandardJSONSchemaMethod(inst,"input"),output:createStandardJSONSchemaMethod(inst,"output")}}),inst.toJSONSchema=createToJSONSchemaMethod(inst,{}),inst.def=def,inst.type=def.type,Object.defineProperty(inst,"_def",{value:def}),inst.check=(...checks2)=>inst.clone(mergeDefs(def,{checks:[...def.checks??[],...checks2.map(ch=>typeof ch=="function"?{_zod:{check:ch,def:{
+check:"custom"},onattach:[]}}:ch)]})),inst.clone=(def2,params)=>clone(inst,def2,params),inst.brand=()=>inst,inst.register=((reg,meta)=>(reg.add(inst,meta),inst)),inst.parse=(data,params)=>parse$3(inst,data,params,{callee:inst.parse}),inst.safeParse=(data,params)=>safeParse(inst,data,params),inst.parseAsync=async(data,params)=>parseAsync(inst,data,params,{callee:inst.parseAsync}),inst.safeParseAsync=async(data,params)=>safeParseAsync(inst,data,params),inst.spa=inst.safeParseAsync,inst.encode=(data,params)=>encode(
+inst,data,params),inst.decode=(data,params)=>decode$1(inst,data,params),inst.encodeAsync=async(data,params)=>encodeAsync(inst,data,params),inst.decodeAsync=async(data,params)=>decodeAsync(inst,data,params),inst.safeEncode=(data,params)=>safeEncode(inst,data,params),inst.safeDecode=(data,params)=>safeDecode(inst,data,params),inst.safeEncodeAsync=async(data,params)=>safeEncodeAsync(inst,data,params),inst.safeDecodeAsync=async(data,params)=>safeDecodeAsync(inst,data,params),inst.refine=(check,params)=>inst.
+check(refine(check,params)),inst.superRefine=refinement=>inst.check(superRefine(refinement)),inst.overwrite=fn=>inst.check(_overwrite(fn)),inst.optional=()=>optional(inst),inst.nullable=()=>nullable(inst),inst.nullish=()=>optional(nullable(inst)),inst.nonoptional=params=>nonoptional(inst,params),inst.array=()=>array(inst),inst.or=arg=>union([inst,arg]),inst.and=arg=>intersection(inst,arg),inst.transform=tx=>pipe(inst,transform$1(tx)),inst.default=def2=>_default(inst,def2),inst.prefault=def2=>prefault(
+inst,def2),inst.catch=params=>_catch(inst,params),inst.pipe=target2=>pipe(inst,target2),inst.readonly=()=>readonly(inst),inst.describe=description2=>{const cl=inst.clone();return globalRegistry.add(cl,{description:description2}),cl},Object.defineProperty(inst,"description",{get(){return globalRegistry.get(inst)?.description},configurable:!0}),inst.meta=(...args)=>{if(args.length===0)return globalRegistry.get(inst);const cl=inst.clone();return globalRegistry.add(cl,args[0]),cl},inst.isOptional=()=>inst.
+safeParse(void 0).success,inst.isNullable=()=>inst.safeParse(null).success,inst)),_ZodString=$constructor("_ZodString",(inst,def)=>{$ZodString.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>stringProcessor(inst,ctx,json2);const bag=inst._zod.bag;inst.format=bag.format??null,inst.minLength=bag.minimum??null,inst.maxLength=bag.maximum??null,inst.regex=(...args)=>inst.check(_regex(...args)),inst.includes=(...args)=>inst.check(_includes(...args)),inst.startsWith=
+(...args)=>inst.check(_startsWith(...args)),inst.endsWith=(...args)=>inst.check(_endsWith(...args)),inst.min=(...args)=>inst.check(_minLength(...args)),inst.max=(...args)=>inst.check(_maxLength(...args)),inst.length=(...args)=>inst.check(_length(...args)),inst.nonempty=(...args)=>inst.check(_minLength(1,...args)),inst.lowercase=params=>inst.check(_lowercase(params)),inst.uppercase=params=>inst.check(_uppercase(params)),inst.trim=()=>inst.check(_trim()),inst.normalize=(...args)=>inst.check(_normalize(
+...args)),inst.toLowerCase=()=>inst.check(_toLowerCase()),inst.toUpperCase=()=>inst.check(_toUpperCase()),inst.slugify=()=>inst.check(_slugify())}),ZodString=$constructor("ZodString",(inst,def)=>{$ZodString.init(inst,def),_ZodString.init(inst,def),inst.email=params=>inst.check(_email(ZodEmail,params)),inst.url=params=>inst.check(_url$2(ZodURL,params)),inst.jwt=params=>inst.check(_jwt(ZodJWT,params)),inst.emoji=params=>inst.check(_emoji(ZodEmoji,params)),inst.guid=params=>inst.check(_guid(ZodGUID,
+params)),inst.uuid=params=>inst.check(_uuid(ZodUUID,params)),inst.uuidv4=params=>inst.check(_uuidv4(ZodUUID,params)),inst.uuidv6=params=>inst.check(_uuidv6(ZodUUID,params)),inst.uuidv7=params=>inst.check(_uuidv7(ZodUUID,params)),inst.nanoid=params=>inst.check(_nanoid(ZodNanoID,params)),inst.guid=params=>inst.check(_guid(ZodGUID,params)),inst.cuid=params=>inst.check(_cuid(ZodCUID,params)),inst.cuid2=params=>inst.check(_cuid2(ZodCUID2,params)),inst.ulid=params=>inst.check(_ulid(ZodULID,params)),inst.
+base64=params=>inst.check(_base64(ZodBase64,params)),inst.base64url=params=>inst.check(_base64url(ZodBase64URL,params)),inst.xid=params=>inst.check(_xid(ZodXID,params)),inst.ksuid=params=>inst.check(_ksuid(ZodKSUID,params)),inst.ipv4=params=>inst.check(_ipv4(ZodIPv4,params)),inst.ipv6=params=>inst.check(_ipv6(ZodIPv6,params)),inst.cidrv4=params=>inst.check(_cidrv4(ZodCIDRv4,params)),inst.cidrv6=params=>inst.check(_cidrv6(ZodCIDRv6,params)),inst.e164=params=>inst.check(_e164(ZodE164,params)),inst.
+datetime=params=>inst.check(datetime(params)),inst.date=params=>inst.check(date(params)),inst.time=params=>inst.check(time(params)),inst.duration=params=>inst.check(duration(params))});function string$2(params){return _string(ZodString,params)}const ZodStringFormat=$constructor("ZodStringFormat",(inst,def)=>{$ZodStringFormat.init(inst,def),_ZodString.init(inst,def)}),ZodEmail=$constructor("ZodEmail",(inst,def)=>{$ZodEmail.init(inst,def),ZodStringFormat.init(inst,def)}),ZodGUID=$constructor("ZodG\
+UID",(inst,def)=>{$ZodGUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodUUID=$constructor("ZodUUID",(inst,def)=>{$ZodUUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodURL=$constructor("ZodURL",(inst,def)=>{$ZodURL.init(inst,def),ZodStringFormat.init(inst,def)});function url(params){return _url$2(ZodURL,params)}const ZodEmoji=$constructor("ZodEmoji",(inst,def)=>{$ZodEmoji.init(inst,def),ZodStringFormat.init(inst,def)}),ZodNanoID=$constructor("ZodNanoID",(inst,def)=>{$ZodNanoID.init(inst,
+def),ZodStringFormat.init(inst,def)}),ZodCUID=$constructor("ZodCUID",(inst,def)=>{$ZodCUID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCUID2=$constructor("ZodCUID2",(inst,def)=>{$ZodCUID2.init(inst,def),ZodStringFormat.init(inst,def)}),ZodULID=$constructor("ZodULID",(inst,def)=>{$ZodULID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodXID=$constructor("ZodXID",(inst,def)=>{$ZodXID.init(inst,def),ZodStringFormat.init(inst,def)}),ZodKSUID=$constructor("ZodKSUID",(inst,def)=>{$ZodKSUID.init(
+inst,def),ZodStringFormat.init(inst,def)}),ZodIPv4=$constructor("ZodIPv4",(inst,def)=>{$ZodIPv4.init(inst,def),ZodStringFormat.init(inst,def)}),ZodIPv6=$constructor("ZodIPv6",(inst,def)=>{$ZodIPv6.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCIDRv4=$constructor("ZodCIDRv4",(inst,def)=>{$ZodCIDRv4.init(inst,def),ZodStringFormat.init(inst,def)}),ZodCIDRv6=$constructor("ZodCIDRv6",(inst,def)=>{$ZodCIDRv6.init(inst,def),ZodStringFormat.init(inst,def)}),ZodBase64=$constructor("ZodBase64",(inst,def)=>{
+$ZodBase64.init(inst,def),ZodStringFormat.init(inst,def)}),ZodBase64URL=$constructor("ZodBase64URL",(inst,def)=>{$ZodBase64URL.init(inst,def),ZodStringFormat.init(inst,def)}),ZodE164=$constructor("ZodE164",(inst,def)=>{$ZodE164.init(inst,def),ZodStringFormat.init(inst,def)}),ZodJWT=$constructor("ZodJWT",(inst,def)=>{$ZodJWT.init(inst,def),ZodStringFormat.init(inst,def)}),ZodNumber=$constructor("ZodNumber",(inst,def)=>{$ZodNumber.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>numberProcessor(
+inst,ctx,json2),inst.gt=(value,params)=>inst.check(_gt(value,params)),inst.gte=(value,params)=>inst.check(_gte(value,params)),inst.min=(value,params)=>inst.check(_gte(value,params)),inst.lt=(value,params)=>inst.check(_lt(value,params)),inst.lte=(value,params)=>inst.check(_lte(value,params)),inst.max=(value,params)=>inst.check(_lte(value,params)),inst.int=params=>inst.check(int(params)),inst.safe=params=>inst.check(int(params)),inst.positive=params=>inst.check(_gt(0,params)),inst.nonnegative=params=>inst.
+check(_gte(0,params)),inst.negative=params=>inst.check(_lt(0,params)),inst.nonpositive=params=>inst.check(_lte(0,params)),inst.multipleOf=(value,params)=>inst.check(_multipleOf(value,params)),inst.step=(value,params)=>inst.check(_multipleOf(value,params)),inst.finite=()=>inst;const bag=inst._zod.bag;inst.minValue=Math.max(bag.minimum??Number.NEGATIVE_INFINITY,bag.exclusiveMinimum??Number.NEGATIVE_INFINITY)??null,inst.maxValue=Math.min(bag.maximum??Number.POSITIVE_INFINITY,bag.exclusiveMaximum??Number.
+POSITIVE_INFINITY)??null,inst.isInt=(bag.format??"").includes("int")||Number.isSafeInteger(bag.multipleOf??.5),inst.isFinite=!0,inst.format=bag.format??null});function number$2(params){return _number(ZodNumber,params)}const ZodNumberFormat=$constructor("ZodNumberFormat",(inst,def)=>{$ZodNumberFormat.init(inst,def),ZodNumber.init(inst,def)});function int(params){return _int(ZodNumberFormat,params)}const ZodBoolean=$constructor("ZodBoolean",(inst,def)=>{$ZodBoolean.init(inst,def),ZodType.init(inst,
+def),inst._zod.processJSONSchema=(ctx,json2,params)=>booleanProcessor(inst,ctx,json2)});function boolean$1(params){return _boolean(ZodBoolean,params)}const ZodNull=$constructor("ZodNull",(inst,def)=>{$ZodNull.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nullProcessor(inst,ctx,json2)});function _null(params){return _null$1(ZodNull,params)}const ZodAny=$constructor("ZodAny",(inst,def)=>{$ZodAny.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=
+(ctx,json2,params)=>anyProcessor()});function any(){return _any(ZodAny)}const ZodUnknown=$constructor("ZodUnknown",(inst,def)=>{$ZodUnknown.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>unknownProcessor()});function unknown$2(){return _unknown(ZodUnknown)}const ZodNever=$constructor("ZodNever",(inst,def)=>{$ZodNever.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>neverProcessor(inst,ctx,json2)});function never(params){
+return _never(ZodNever,params)}const ZodArray=$constructor("ZodArray",(inst,def)=>{$ZodArray.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>arrayProcessor(inst,ctx,json2,params),inst.element=def.element,inst.min=(minLength,params)=>inst.check(_minLength(minLength,params)),inst.nonempty=params=>inst.check(_minLength(1,params)),inst.max=(maxLength,params)=>inst.check(_maxLength(maxLength,params)),inst.length=(len,params)=>inst.check(_length(len,params)),inst.
+unwrap=()=>inst.element});function array(element2,params){return _array(ZodArray,element2,params)}const ZodObject=$constructor("ZodObject",(inst,def)=>{$ZodObjectJIT.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>objectProcessor(inst,ctx,json2,params),defineLazy(inst,"shape",()=>def.shape),inst.keyof=()=>_enum$2(Object.keys(inst._zod.def.shape)),inst.catchall=catchall=>inst.clone({...inst._zod.def,catchall}),inst.passthrough=()=>inst.clone({...inst._zod.def,
+catchall:unknown$2()}),inst.loose=()=>inst.clone({...inst._zod.def,catchall:unknown$2()}),inst.strict=()=>inst.clone({...inst._zod.def,catchall:never()}),inst.strip=()=>inst.clone({...inst._zod.def,catchall:void 0}),inst.extend=incoming=>extend$2(inst,incoming),inst.safeExtend=incoming=>safeExtend(inst,incoming),inst.merge=other=>merge$1(inst,other),inst.pick=mask=>pick(inst,mask),inst.omit=mask=>omit(inst,mask),inst.partial=(...args)=>partial(ZodOptional,inst,args[0]),inst.required=(...args)=>required$4(
+ZodNonOptional,inst,args[0])});function object(shape,params){const def={type:"object",shape:shape??{},...normalizeParams(params)};return new ZodObject(def)}function looseObject(shape,params){return new ZodObject({type:"object",shape,catchall:unknown$2(),...normalizeParams(params)})}const ZodUnion=$constructor("ZodUnion",(inst,def)=>{$ZodUnion.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>unionProcessor(inst,ctx,json2,params),inst.options=def.options});function union(options,params){
+return new ZodUnion({type:"union",options,...normalizeParams(params)})}const ZodDiscriminatedUnion=$constructor("ZodDiscriminatedUnion",(inst,def)=>{ZodUnion.init(inst,def),$ZodDiscriminatedUnion.init(inst,def)});function discriminatedUnion(discriminator2,options,params){return new ZodDiscriminatedUnion({type:"union",options,discriminator:discriminator2,...normalizeParams(params)})}const ZodIntersection=$constructor("ZodIntersection",(inst,def)=>{$ZodIntersection.init(inst,def),ZodType.init(inst,
+def),inst._zod.processJSONSchema=(ctx,json2,params)=>intersectionProcessor(inst,ctx,json2,params)});function intersection(left,right){return new ZodIntersection({type:"intersection",left,right})}const ZodRecord=$constructor("ZodRecord",(inst,def)=>{$ZodRecord.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>recordProcessor(inst,ctx,json2,params),inst.keyType=def.keyType,inst.valueType=def.valueType});function record(keyType,valueType,params){return new ZodRecord(
+{type:"record",keyType,valueType,...normalizeParams(params)})}const ZodEnum=$constructor("ZodEnum",(inst,def)=>{$ZodEnum.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>enumProcessor(inst,ctx,json2),inst.enum=def.entries,inst.options=Object.values(def.entries);const keys2=new Set(Object.keys(def.entries));inst.extract=(values,params)=>{const newEntries={};for(const value of values)if(keys2.has(value))newEntries[value]=def.entries[value];else throw new Error(
+`Key ${value} not found in enum`);return new ZodEnum({...def,checks:[],...normalizeParams(params),entries:newEntries})},inst.exclude=(values,params)=>{const newEntries={...def.entries};for(const value of values)if(keys2.has(value))delete newEntries[value];else throw new Error(`Key ${value} not found in enum`);return new ZodEnum({...def,checks:[],...normalizeParams(params),entries:newEntries})}});function _enum$2(values,params){const entries=Array.isArray(values)?Object.fromEntries(values.map(v=>[
+v,v])):values;return new ZodEnum({type:"enum",entries,...normalizeParams(params)})}const ZodLiteral=$constructor("ZodLiteral",(inst,def)=>{$ZodLiteral.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>literalProcessor(inst,ctx,json2),inst.values=new Set(def.values),Object.defineProperty(inst,"value",{get(){if(def.values.length>1)throw new Error("This schema contains multiple valid literal values. Use `.values` instead.");return def.values[0]}})});function literal(value,params){
+return new ZodLiteral({type:"literal",values:Array.isArray(value)?value:[value],...normalizeParams(params)})}const ZodTransform=$constructor("ZodTransform",(inst,def)=>{$ZodTransform.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>transformProcessor(inst,ctx),inst._zod.parse=(payload,_ctx)=>{if(_ctx.direction==="backward")throw new $ZodEncodeError(inst.constructor.name);payload.addIssue=issue$1=>{if(typeof issue$1=="string")payload.issues.push(issue(issue$1,
+payload.value,def));else{const _issue=issue$1;_issue.fatal&&(_issue.continue=!1),_issue.code??(_issue.code="custom"),_issue.input??(_issue.input=payload.value),_issue.inst??(_issue.inst=inst),payload.issues.push(issue(_issue))}};const output=def.transform(payload.value,payload);return output instanceof Promise?output.then(output2=>(payload.value=output2,payload)):(payload.value=output,payload)}});function transform$1(fn){return new ZodTransform({type:"transform",transform:fn})}const ZodOptional=$constructor(
+"ZodOptional",(inst,def)=>{$ZodOptional.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>optionalProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function optional(innerType){return new ZodOptional({type:"optional",innerType})}const ZodNullable=$constructor("ZodNullable",(inst,def)=>{$ZodNullable.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nullableProcessor(inst,ctx,json2,params),inst.unwrap=
+()=>inst._zod.def.innerType});function nullable(innerType){return new ZodNullable({type:"nullable",innerType})}const ZodDefault=$constructor("ZodDefault",(inst,def)=>{$ZodDefault.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>defaultProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType,inst.removeDefault=inst.unwrap});function _default(innerType,defaultValue){return new ZodDefault({type:"default",innerType,get defaultValue(){return typeof defaultValue==
+"function"?defaultValue():shallowClone(defaultValue)}})}const ZodPrefault=$constructor("ZodPrefault",(inst,def)=>{$ZodPrefault.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>prefaultProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function prefault(innerType,defaultValue){return new ZodPrefault({type:"prefault",innerType,get defaultValue(){return typeof defaultValue=="function"?defaultValue():shallowClone(defaultValue)}})}const ZodNonOptional=$constructor(
+"ZodNonOptional",(inst,def)=>{$ZodNonOptional.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>nonoptionalProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function nonoptional(innerType,params){return new ZodNonOptional({type:"nonoptional",innerType,...normalizeParams(params)})}const ZodCatch=$constructor("ZodCatch",(inst,def)=>{$ZodCatch.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>catchProcessor(
+inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType,inst.removeCatch=inst.unwrap});function _catch(innerType,catchValue){return new ZodCatch({type:"catch",innerType,catchValue:typeof catchValue=="function"?catchValue:()=>catchValue})}const ZodPipe=$constructor("ZodPipe",(inst,def)=>{$ZodPipe.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>pipeProcessor(inst,ctx,json2,params),inst.in=def.in,inst.out=def.out});function pipe(in_,out){return new ZodPipe(
+{type:"pipe",in:in_,out})}const ZodReadonly=$constructor("ZodReadonly",(inst,def)=>{$ZodReadonly.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>readonlyProcessor(inst,ctx,json2,params),inst.unwrap=()=>inst._zod.def.innerType});function readonly(innerType){return new ZodReadonly({type:"readonly",innerType})}const ZodCustom=$constructor("ZodCustom",(inst,def)=>{$ZodCustom.init(inst,def),ZodType.init(inst,def),inst._zod.processJSONSchema=(ctx,json2,params)=>customProcessor(
+inst,ctx)});function custom(fn,_params){return _custom(ZodCustom,fn??(()=>!0),_params)}function refine(fn,_params={}){return _refine(ZodCustom,fn,_params)}function superRefine(fn){return _superRefine(fn)}function preprocess$1(fn,schema){return pipe(transform$1(fn),schema)}const ZodIssueCode={custom:"custom"};function number$1(params){return _coercedNumber(ZodNumber,params)}const LATEST_PROTOCOL_VERSION="2025-11-25",SUPPORTED_PROTOCOL_VERSIONS=[LATEST_PROTOCOL_VERSION,"2025-06-18","2025-03-26","2\
+024-11-05","2024-10-07"],RELATED_TASK_META_KEY="io.modelcontextprotocol/related-task",JSONRPC_VERSION="2.0",AssertObjectSchema=custom(v=>v!==null&&(typeof v=="object"||typeof v=="function")),ProgressTokenSchema=union([string$2(),number$2().int()]),CursorSchema=string$2();looseObject({ttl:union([number$2(),_null()]).optional(),pollInterval:number$2().optional()});const TaskMetadataSchema=object({ttl:number$2().optional()}),RelatedTaskMetadataSchema=object({taskId:string$2()}),RequestMetaSchema=looseObject(
+{progressToken:ProgressTokenSchema.optional(),[RELATED_TASK_META_KEY]:RelatedTaskMetadataSchema.optional()}),BaseRequestParamsSchema=object({_meta:RequestMetaSchema.optional()}),TaskAugmentedRequestParamsSchema=BaseRequestParamsSchema.extend({task:TaskMetadataSchema.optional()}),isTaskAugmentedRequestParams=value=>TaskAugmentedRequestParamsSchema.safeParse(value).success,RequestSchema=object({method:string$2(),params:BaseRequestParamsSchema.loose().optional()}),NotificationsParamsSchema=object({
+_meta:RequestMetaSchema.optional()}),NotificationSchema=object({method:string$2(),params:NotificationsParamsSchema.loose().optional()}),ResultSchema=looseObject({_meta:RequestMetaSchema.optional()}),RequestIdSchema=union([string$2(),number$2().int()]),JSONRPCRequestSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema,...RequestSchema.shape}).strict(),isJSONRPCRequest=value=>JSONRPCRequestSchema.safeParse(value).success,JSONRPCNotificationSchema=object({jsonrpc:literal(JSONRPC_VERSION),
+...NotificationSchema.shape}).strict(),isJSONRPCNotification=value=>JSONRPCNotificationSchema.safeParse(value).success,JSONRPCResultResponseSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema,result:ResultSchema}).strict(),isJSONRPCResultResponse=value=>JSONRPCResultResponseSchema.safeParse(value).success;var ErrorCode;(function(ErrorCode2){ErrorCode2[ErrorCode2.ConnectionClosed=-32e3]="ConnectionClosed",ErrorCode2[ErrorCode2.RequestTimeout=-32001]="RequestTimeout",ErrorCode2[ErrorCode2.
+ParseError=-32700]="ParseError",ErrorCode2[ErrorCode2.InvalidRequest=-32600]="InvalidRequest",ErrorCode2[ErrorCode2.MethodNotFound=-32601]="MethodNotFound",ErrorCode2[ErrorCode2.InvalidParams=-32602]="InvalidParams",ErrorCode2[ErrorCode2.InternalError=-32603]="InternalError",ErrorCode2[ErrorCode2.UrlElicitationRequired=-32042]="UrlElicitationRequired"})(ErrorCode||(ErrorCode={}));const JSONRPCErrorResponseSchema=object({jsonrpc:literal(JSONRPC_VERSION),id:RequestIdSchema.optional(),error:object(
+{code:number$2().int(),message:string$2(),data:unknown$2().optional()})}).strict(),isJSONRPCErrorResponse=value=>JSONRPCErrorResponseSchema.safeParse(value).success,JSONRPCMessageSchema=union([JSONRPCRequestSchema,JSONRPCNotificationSchema,JSONRPCResultResponseSchema,JSONRPCErrorResponseSchema]);union([JSONRPCResultResponseSchema,JSONRPCErrorResponseSchema]);const EmptyResultSchema=ResultSchema.strict(),CancelledNotificationParamsSchema=NotificationsParamsSchema.extend({requestId:RequestIdSchema.
+optional(),reason:string$2().optional()}),CancelledNotificationSchema=NotificationSchema.extend({method:literal("notifications/cancelled"),params:CancelledNotificationParamsSchema}),IconSchema=object({src:string$2(),mimeType:string$2().optional(),sizes:array(string$2()).optional(),theme:_enum$2(["light","dark"]).optional()}),IconsSchema=object({icons:array(IconSchema).optional()}),BaseMetadataSchema=object({name:string$2(),title:string$2().optional()}),ImplementationSchema=BaseMetadataSchema.extend(
+{...BaseMetadataSchema.shape,...IconsSchema.shape,version:string$2(),websiteUrl:string$2().optional(),description:string$2().optional()}),FormElicitationCapabilitySchema=intersection(object({applyDefaults:boolean$1().optional()}),record(string$2(),unknown$2())),ElicitationCapabilitySchema=preprocess$1(value=>value&&typeof value=="object"&&!Array.isArray(value)&&Object.keys(value).length===0?{form:{}}:value,intersection(object({form:FormElicitationCapabilitySchema.optional(),url:AssertObjectSchema.
+optional()}),record(string$2(),unknown$2()).optional())),ClientTasksCapabilitySchema=looseObject({list:AssertObjectSchema.optional(),cancel:AssertObjectSchema.optional(),requests:looseObject({sampling:looseObject({createMessage:AssertObjectSchema.optional()}).optional(),elicitation:looseObject({create:AssertObjectSchema.optional()}).optional()}).optional()}),ServerTasksCapabilitySchema=looseObject({list:AssertObjectSchema.optional(),cancel:AssertObjectSchema.optional(),requests:looseObject({tools:looseObject(
+{call:AssertObjectSchema.optional()}).optional()}).optional()}),ClientCapabilitiesSchema=object({experimental:record(string$2(),AssertObjectSchema).optional(),sampling:object({context:AssertObjectSchema.optional(),tools:AssertObjectSchema.optional()}).optional(),elicitation:ElicitationCapabilitySchema.optional(),roots:object({listChanged:boolean$1().optional()}).optional(),tasks:ClientTasksCapabilitySchema.optional()}),InitializeRequestParamsSchema=BaseRequestParamsSchema.extend({protocolVersion:string$2(),
+capabilities:ClientCapabilitiesSchema,clientInfo:ImplementationSchema}),InitializeRequestSchema=RequestSchema.extend({method:literal("initialize"),params:InitializeRequestParamsSchema}),ServerCapabilitiesSchema=object({experimental:record(string$2(),AssertObjectSchema).optional(),logging:AssertObjectSchema.optional(),completions:AssertObjectSchema.optional(),prompts:object({listChanged:boolean$1().optional()}).optional(),resources:object({subscribe:boolean$1().optional(),listChanged:boolean$1().
+optional()}).optional(),tools:object({listChanged:boolean$1().optional()}).optional(),tasks:ServerTasksCapabilitySchema.optional()}),InitializeResultSchema=ResultSchema.extend({protocolVersion:string$2(),capabilities:ServerCapabilitiesSchema,serverInfo:ImplementationSchema,instructions:string$2().optional()}),InitializedNotificationSchema=NotificationSchema.extend({method:literal("notifications/initialized"),params:NotificationsParamsSchema.optional()}),isInitializedNotification=value=>InitializedNotificationSchema.
+safeParse(value).success,PingRequestSchema=RequestSchema.extend({method:literal("ping"),params:BaseRequestParamsSchema.optional()}),ProgressSchema=object({progress:number$2(),total:optional(number$2()),message:optional(string$2())}),ProgressNotificationParamsSchema=object({...NotificationsParamsSchema.shape,...ProgressSchema.shape,progressToken:ProgressTokenSchema}),ProgressNotificationSchema=NotificationSchema.extend({method:literal("notifications/progress"),params:ProgressNotificationParamsSchema}),
+PaginatedRequestParamsSchema=BaseRequestParamsSchema.extend({cursor:CursorSchema.optional()}),PaginatedRequestSchema=RequestSchema.extend({params:PaginatedRequestParamsSchema.optional()}),PaginatedResultSchema=ResultSchema.extend({nextCursor:CursorSchema.optional()}),TaskStatusSchema=_enum$2(["working","input_required","completed","failed","cancelled"]),TaskSchema=object({taskId:string$2(),status:TaskStatusSchema,ttl:union([number$2(),_null()]),createdAt:string$2(),lastUpdatedAt:string$2(),pollInterval:optional(
+number$2()),statusMessage:optional(string$2())}),CreateTaskResultSchema=ResultSchema.extend({task:TaskSchema}),TaskStatusNotificationParamsSchema=NotificationsParamsSchema.merge(TaskSchema),TaskStatusNotificationSchema=NotificationSchema.extend({method:literal("notifications/tasks/status"),params:TaskStatusNotificationParamsSchema}),GetTaskRequestSchema=RequestSchema.extend({method:literal("tasks/get"),params:BaseRequestParamsSchema.extend({taskId:string$2()})}),GetTaskResultSchema=ResultSchema.
+merge(TaskSchema),GetTaskPayloadRequestSchema=RequestSchema.extend({method:literal("tasks/result"),params:BaseRequestParamsSchema.extend({taskId:string$2()})});ResultSchema.loose();const ListTasksRequestSchema=PaginatedRequestSchema.extend({method:literal("tasks/list")}),ListTasksResultSchema=PaginatedResultSchema.extend({tasks:array(TaskSchema)}),CancelTaskRequestSchema=RequestSchema.extend({method:literal("tasks/cancel"),params:BaseRequestParamsSchema.extend({taskId:string$2()})}),CancelTaskResultSchema=ResultSchema.
+merge(TaskSchema),ResourceContentsSchema=object({uri:string$2(),mimeType:optional(string$2()),_meta:record(string$2(),unknown$2()).optional()}),TextResourceContentsSchema=ResourceContentsSchema.extend({text:string$2()}),Base64Schema=string$2().refine(val=>{try{return atob(val),!0}catch{return!1}},{message:"Invalid Base64 string"}),BlobResourceContentsSchema=ResourceContentsSchema.extend({blob:Base64Schema}),RoleSchema=_enum$2(["user","assistant"]),AnnotationsSchema=object({audience:array(RoleSchema).
+optional(),priority:number$2().min(0).max(1).optional(),lastModified:datetime({offset:!0}).optional()}),ResourceSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,uri:string$2(),description:optional(string$2()),mimeType:optional(string$2()),annotations:AnnotationsSchema.optional(),_meta:optional(looseObject({}))}),ResourceTemplateSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,uriTemplate:string$2(),description:optional(string$2()),mimeType:optional(string$2()),annotations:AnnotationsSchema.
+optional(),_meta:optional(looseObject({}))}),ListResourcesRequestSchema=PaginatedRequestSchema.extend({method:literal("resources/list")}),ListResourcesResultSchema=PaginatedResultSchema.extend({resources:array(ResourceSchema)}),ListResourceTemplatesRequestSchema=PaginatedRequestSchema.extend({method:literal("resources/templates/list")}),ListResourceTemplatesResultSchema=PaginatedResultSchema.extend({resourceTemplates:array(ResourceTemplateSchema)}),ResourceRequestParamsSchema=BaseRequestParamsSchema.
+extend({uri:string$2()}),ReadResourceRequestParamsSchema=ResourceRequestParamsSchema,ReadResourceRequestSchema=RequestSchema.extend({method:literal("resources/read"),params:ReadResourceRequestParamsSchema}),ReadResourceResultSchema=ResultSchema.extend({contents:array(union([TextResourceContentsSchema,BlobResourceContentsSchema]))}),ResourceListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/resources/list_changed"),params:NotificationsParamsSchema.optional()}),
+SubscribeRequestParamsSchema=ResourceRequestParamsSchema,SubscribeRequestSchema=RequestSchema.extend({method:literal("resources/subscribe"),params:SubscribeRequestParamsSchema}),UnsubscribeRequestParamsSchema=ResourceRequestParamsSchema,UnsubscribeRequestSchema=RequestSchema.extend({method:literal("resources/unsubscribe"),params:UnsubscribeRequestParamsSchema}),ResourceUpdatedNotificationParamsSchema=NotificationsParamsSchema.extend({uri:string$2()}),ResourceUpdatedNotificationSchema=NotificationSchema.
+extend({method:literal("notifications/resources/updated"),params:ResourceUpdatedNotificationParamsSchema}),PromptArgumentSchema=object({name:string$2(),description:optional(string$2()),required:optional(boolean$1())}),PromptSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,description:optional(string$2()),arguments:optional(array(PromptArgumentSchema)),_meta:optional(looseObject({}))}),ListPromptsRequestSchema=PaginatedRequestSchema.extend({method:literal("prompts/list")}),ListPromptsResultSchema=PaginatedResultSchema.
+extend({prompts:array(PromptSchema)}),GetPromptRequestParamsSchema=BaseRequestParamsSchema.extend({name:string$2(),arguments:record(string$2(),string$2()).optional()}),GetPromptRequestSchema=RequestSchema.extend({method:literal("prompts/get"),params:GetPromptRequestParamsSchema}),TextContentSchema=object({type:literal("text"),text:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ImageContentSchema=object({type:literal("image"),data:Base64Schema,
+mimeType:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),AudioContentSchema=object({type:literal("audio"),data:Base64Schema,mimeType:string$2(),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ToolUseContentSchema=object({type:literal("tool_use"),name:string$2(),id:string$2(),input:record(string$2(),unknown$2()),_meta:record(string$2(),unknown$2()).optional()}),EmbeddedResourceSchema=object({type:literal(
+"resource"),resource:union([TextResourceContentsSchema,BlobResourceContentsSchema]),annotations:AnnotationsSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ResourceLinkSchema=ResourceSchema.extend({type:literal("resource_link")}),ContentBlockSchema=union([TextContentSchema,ImageContentSchema,AudioContentSchema,ResourceLinkSchema,EmbeddedResourceSchema]),PromptMessageSchema=object({role:RoleSchema,content:ContentBlockSchema}),GetPromptResultSchema=ResultSchema.extend({description:string$2().
+optional(),messages:array(PromptMessageSchema)}),PromptListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/prompts/list_changed"),params:NotificationsParamsSchema.optional()}),ToolAnnotationsSchema=object({title:string$2().optional(),readOnlyHint:boolean$1().optional(),destructiveHint:boolean$1().optional(),idempotentHint:boolean$1().optional(),openWorldHint:boolean$1().optional()}),ToolExecutionSchema=object({taskSupport:_enum$2(["required","optional","forbidd\
+en"]).optional()}),ToolSchema=object({...BaseMetadataSchema.shape,...IconsSchema.shape,description:string$2().optional(),inputSchema:object({type:literal("object"),properties:record(string$2(),AssertObjectSchema).optional(),required:array(string$2()).optional()}).catchall(unknown$2()),outputSchema:object({type:literal("object"),properties:record(string$2(),AssertObjectSchema).optional(),required:array(string$2()).optional()}).catchall(unknown$2()).optional(),annotations:ToolAnnotationsSchema.optional(),
+execution:ToolExecutionSchema.optional(),_meta:record(string$2(),unknown$2()).optional()}),ListToolsRequestSchema=PaginatedRequestSchema.extend({method:literal("tools/list")}),ListToolsResultSchema=PaginatedResultSchema.extend({tools:array(ToolSchema)}),CallToolResultSchema=ResultSchema.extend({content:array(ContentBlockSchema).default([]),structuredContent:record(string$2(),unknown$2()).optional(),isError:boolean$1().optional()});CallToolResultSchema.or(ResultSchema.extend({toolResult:unknown$2()}));
+const CallToolRequestParamsSchema=TaskAugmentedRequestParamsSchema.extend({name:string$2(),arguments:record(string$2(),unknown$2()).optional()}),CallToolRequestSchema=RequestSchema.extend({method:literal("tools/call"),params:CallToolRequestParamsSchema}),ToolListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/tools/list_changed"),params:NotificationsParamsSchema.optional()}),ListChangedOptionsBaseSchema=object({autoRefresh:boolean$1().default(!0),debounceMs:number$2().
+int().nonnegative().default(300)}),LoggingLevelSchema=_enum$2(["debug","info","notice","warning","error","critical","alert","emergency"]),SetLevelRequestParamsSchema=BaseRequestParamsSchema.extend({level:LoggingLevelSchema}),SetLevelRequestSchema=RequestSchema.extend({method:literal("logging/setLevel"),params:SetLevelRequestParamsSchema}),LoggingMessageNotificationParamsSchema=NotificationsParamsSchema.extend({level:LoggingLevelSchema,logger:string$2().optional(),data:unknown$2()}),LoggingMessageNotificationSchema=NotificationSchema.
+extend({method:literal("notifications/message"),params:LoggingMessageNotificationParamsSchema}),ModelHintSchema=object({name:string$2().optional()}),ModelPreferencesSchema=object({hints:array(ModelHintSchema).optional(),costPriority:number$2().min(0).max(1).optional(),speedPriority:number$2().min(0).max(1).optional(),intelligencePriority:number$2().min(0).max(1).optional()}),ToolChoiceSchema=object({mode:_enum$2(["auto","required","none"]).optional()}),ToolResultContentSchema=object({type:literal(
+"tool_result"),toolUseId:string$2().describe("The unique identifier for the corresponding tool call."),content:array(ContentBlockSchema).default([]),structuredContent:object({}).loose().optional(),isError:boolean$1().optional(),_meta:record(string$2(),unknown$2()).optional()}),SamplingContentSchema=discriminatedUnion("type",[TextContentSchema,ImageContentSchema,AudioContentSchema]),SamplingMessageContentBlockSchema=discriminatedUnion("type",[TextContentSchema,ImageContentSchema,AudioContentSchema,
+ToolUseContentSchema,ToolResultContentSchema]),SamplingMessageSchema=object({role:RoleSchema,content:union([SamplingMessageContentBlockSchema,array(SamplingMessageContentBlockSchema)]),_meta:record(string$2(),unknown$2()).optional()}),CreateMessageRequestParamsSchema=TaskAugmentedRequestParamsSchema.extend({messages:array(SamplingMessageSchema),modelPreferences:ModelPreferencesSchema.optional(),systemPrompt:string$2().optional(),includeContext:_enum$2(["none","thisServer","allServers"]).optional(),
+temperature:number$2().optional(),maxTokens:number$2().int(),stopSequences:array(string$2()).optional(),metadata:AssertObjectSchema.optional(),tools:array(ToolSchema).optional(),toolChoice:ToolChoiceSchema.optional()}),CreateMessageRequestSchema=RequestSchema.extend({method:literal("sampling/createMessage"),params:CreateMessageRequestParamsSchema}),CreateMessageResultSchema=ResultSchema.extend({model:string$2(),stopReason:optional(_enum$2(["endTurn","stopSequence","maxTokens"]).or(string$2())),role:RoleSchema,
+content:SamplingContentSchema}),CreateMessageResultWithToolsSchema=ResultSchema.extend({model:string$2(),stopReason:optional(_enum$2(["endTurn","stopSequence","maxTokens","toolUse"]).or(string$2())),role:RoleSchema,content:union([SamplingMessageContentBlockSchema,array(SamplingMessageContentBlockSchema)])}),BooleanSchemaSchema=object({type:literal("boolean"),title:string$2().optional(),description:string$2().optional(),default:boolean$1().optional()}),StringSchemaSchema=object({type:literal("str\
+ing"),title:string$2().optional(),description:string$2().optional(),minLength:number$2().optional(),maxLength:number$2().optional(),format:_enum$2(["email","uri","date","date-time"]).optional(),default:string$2().optional()}),NumberSchemaSchema=object({type:_enum$2(["number","integer"]),title:string$2().optional(),description:string$2().optional(),minimum:number$2().optional(),maximum:number$2().optional(),default:number$2().optional()}),UntitledSingleSelectEnumSchemaSchema=object({type:literal(
+"string"),title:string$2().optional(),description:string$2().optional(),enum:array(string$2()),default:string$2().optional()}),TitledSingleSelectEnumSchemaSchema=object({type:literal("string"),title:string$2().optional(),description:string$2().optional(),oneOf:array(object({const:string$2(),title:string$2()})),default:string$2().optional()}),LegacyTitledEnumSchemaSchema=object({type:literal("string"),title:string$2().optional(),description:string$2().optional(),enum:array(string$2()),enumNames:array(
+string$2()).optional(),default:string$2().optional()}),SingleSelectEnumSchemaSchema=union([UntitledSingleSelectEnumSchemaSchema,TitledSingleSelectEnumSchemaSchema]),UntitledMultiSelectEnumSchemaSchema=object({type:literal("array"),title:string$2().optional(),description:string$2().optional(),minItems:number$2().optional(),maxItems:number$2().optional(),items:object({type:literal("string"),enum:array(string$2())}),default:array(string$2()).optional()}),TitledMultiSelectEnumSchemaSchema=object({type:literal(
+"array"),title:string$2().optional(),description:string$2().optional(),minItems:number$2().optional(),maxItems:number$2().optional(),items:object({anyOf:array(object({const:string$2(),title:string$2()}))}),default:array(string$2()).optional()}),MultiSelectEnumSchemaSchema=union([UntitledMultiSelectEnumSchemaSchema,TitledMultiSelectEnumSchemaSchema]),EnumSchemaSchema=union([LegacyTitledEnumSchemaSchema,SingleSelectEnumSchemaSchema,MultiSelectEnumSchemaSchema]),PrimitiveSchemaDefinitionSchema=union(
+[EnumSchemaSchema,BooleanSchemaSchema,StringSchemaSchema,NumberSchemaSchema]),ElicitRequestFormParamsSchema=TaskAugmentedRequestParamsSchema.extend({mode:literal("form").optional(),message:string$2(),requestedSchema:object({type:literal("object"),properties:record(string$2(),PrimitiveSchemaDefinitionSchema),required:array(string$2()).optional()})}),ElicitRequestURLParamsSchema=TaskAugmentedRequestParamsSchema.extend({mode:literal("url"),message:string$2(),elicitationId:string$2(),url:string$2().
+url()}),ElicitRequestParamsSchema=union([ElicitRequestFormParamsSchema,ElicitRequestURLParamsSchema]),ElicitRequestSchema=RequestSchema.extend({method:literal("elicitation/create"),params:ElicitRequestParamsSchema}),ElicitationCompleteNotificationParamsSchema=NotificationsParamsSchema.extend({elicitationId:string$2()}),ElicitationCompleteNotificationSchema=NotificationSchema.extend({method:literal("notifications/elicitation/complete"),params:ElicitationCompleteNotificationParamsSchema}),ElicitResultSchema=ResultSchema.
+extend({action:_enum$2(["accept","decline","cancel"]),content:preprocess$1(val=>val===null?void 0:val,record(string$2(),union([string$2(),number$2(),boolean$1(),array(string$2())])).optional())}),ResourceTemplateReferenceSchema=object({type:literal("ref/resource"),uri:string$2()}),PromptReferenceSchema=object({type:literal("ref/prompt"),name:string$2()}),CompleteRequestParamsSchema=BaseRequestParamsSchema.extend({ref:union([PromptReferenceSchema,ResourceTemplateReferenceSchema]),argument:object(
+{name:string$2(),value:string$2()}),context:object({arguments:record(string$2(),string$2()).optional()}).optional()}),CompleteRequestSchema=RequestSchema.extend({method:literal("completion/complete"),params:CompleteRequestParamsSchema}),CompleteResultSchema=ResultSchema.extend({completion:looseObject({values:array(string$2()).max(100),total:optional(number$2().int()),hasMore:optional(boolean$1())})}),RootSchema=object({uri:string$2().startsWith("file://"),name:string$2().optional(),_meta:record(
+string$2(),unknown$2()).optional()}),ListRootsRequestSchema=RequestSchema.extend({method:literal("roots/list"),params:BaseRequestParamsSchema.optional()}),ListRootsResultSchema=ResultSchema.extend({roots:array(RootSchema)}),RootsListChangedNotificationSchema=NotificationSchema.extend({method:literal("notifications/roots/list_changed"),params:NotificationsParamsSchema.optional()});union([PingRequestSchema,InitializeRequestSchema,CompleteRequestSchema,SetLevelRequestSchema,GetPromptRequestSchema,ListPromptsRequestSchema,
+ListResourcesRequestSchema,ListResourceTemplatesRequestSchema,ReadResourceRequestSchema,SubscribeRequestSchema,UnsubscribeRequestSchema,CallToolRequestSchema,ListToolsRequestSchema,GetTaskRequestSchema,GetTaskPayloadRequestSchema,ListTasksRequestSchema,CancelTaskRequestSchema]);union([CancelledNotificationSchema,ProgressNotificationSchema,InitializedNotificationSchema,RootsListChangedNotificationSchema,TaskStatusNotificationSchema]);union([EmptyResultSchema,CreateMessageResultSchema,CreateMessageResultWithToolsSchema,
+ElicitResultSchema,ListRootsResultSchema,GetTaskResultSchema,ListTasksResultSchema,CreateTaskResultSchema]);union([PingRequestSchema,CreateMessageRequestSchema,ElicitRequestSchema,ListRootsRequestSchema,GetTaskRequestSchema,GetTaskPayloadRequestSchema,ListTasksRequestSchema,CancelTaskRequestSchema]);union([CancelledNotificationSchema,ProgressNotificationSchema,LoggingMessageNotificationSchema,ResourceUpdatedNotificationSchema,ResourceListChangedNotificationSchema,ToolListChangedNotificationSchema,
+PromptListChangedNotificationSchema,TaskStatusNotificationSchema,ElicitationCompleteNotificationSchema]);union([EmptyResultSchema,InitializeResultSchema,CompleteResultSchema,GetPromptResultSchema,ListPromptsResultSchema,ListResourcesResultSchema,ListResourceTemplatesResultSchema,ReadResourceResultSchema,CallToolResultSchema,ListToolsResultSchema,GetTaskResultSchema,ListTasksResultSchema,CreateTaskResultSchema]);class McpError extends Error{constructor(code2,message,data){super(`MCP error ${code2}\
+: ${message}`),this.code=code2,this.data=data,this.name="McpError"}static fromError(code2,message,data){if(code2===ErrorCode.UrlElicitationRequired&&data){const errorData=data;if(errorData.elicitations)return new UrlElicitationRequiredError(errorData.elicitations,message)}return new McpError(code2,message,data)}}class UrlElicitationRequiredError extends McpError{constructor(elicitations,message=`URL elicitation${elicitations.length>1?"s":""} required`){super(ErrorCode.UrlElicitationRequired,message,
+{elicitations})}get elicitations(){return this.data?.elicitations??[]}}function isTerminal(status){return status==="completed"||status==="failed"||status==="cancelled"}new Set("ABCDEFGHIJKLMNOPQRSTUVXYZabcdefghijklmnopqrstuvxyz0123456789");function getMethodLiteral(schema){const methodSchema=getObjectShape(schema)?.method;if(!methodSchema)throw new Error("Schema is missing a method literal");const value=getLiteralValue(methodSchema);if(typeof value!="string")throw new Error("Schema method litera\
+l must be a string");return value}function parseWithCompat(schema,data){const result=safeParse$1(schema,data);if(!result.success)throw result.error;return result.data}const DEFAULT_REQUEST_TIMEOUT_MSEC=6e4;class Protocol{constructor(_options){this._options=_options,this._requestMessageId=0,this._requestHandlers=new Map,this._requestHandlerAbortControllers=new Map,this._notificationHandlers=new Map,this._responseHandlers=new Map,this._progressHandlers=new Map,this._timeoutInfo=new Map,this._pendingDebouncedNotifications=
+new Set,this._taskProgressTokens=new Map,this._requestResolvers=new Map,this.setNotificationHandler(CancelledNotificationSchema,notification=>{this._oncancel(notification)}),this.setNotificationHandler(ProgressNotificationSchema,notification=>{this._onprogress(notification)}),this.setRequestHandler(PingRequestSchema,_request=>({})),this._taskStore=_options?.taskStore,this._taskMessageQueue=_options?.taskMessageQueue,this._taskStore&&(this.setRequestHandler(GetTaskRequestSchema,async(request,extra)=>{
+const task=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,"Failed to retrieve task: Task not found");return{...task}}),this.setRequestHandler(GetTaskPayloadRequestSchema,async(request,extra)=>{const handleTaskResult=async()=>{const taskId=request.params.taskId;if(this._taskMessageQueue){let queuedMessage;for(;queuedMessage=await this._taskMessageQueue.dequeue(taskId,extra.sessionId);){if(queuedMessage.type==="response"||queuedMessage.
+type==="error"){const message=queuedMessage.message,requestId=message.id,resolver2=this._requestResolvers.get(requestId);if(resolver2)if(this._requestResolvers.delete(requestId),queuedMessage.type==="response")resolver2(message);else{const errorMessage=message,error2=new McpError(errorMessage.error.code,errorMessage.error.message,errorMessage.error.data);resolver2(error2)}else{const messageType=queuedMessage.type==="response"?"Response":"Error";this._onerror(new Error(`${messageType} handler mis\
+sing for request ${requestId}`))}continue}await this._transport?.send(queuedMessage.message,{relatedRequestId:extra.requestId})}}const task=await this._taskStore.getTask(taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task not found: ${taskId}`);if(!isTerminal(task.status))return await this._waitForTaskUpdate(taskId,extra.signal),await handleTaskResult();if(isTerminal(task.status)){const result=await this._taskStore.getTaskResult(taskId,extra.sessionId);return this._clearTaskQueue(
+taskId),{...result,_meta:{...result._meta,[RELATED_TASK_META_KEY]:{taskId}}}}return await handleTaskResult()};return await handleTaskResult()}),this.setRequestHandler(ListTasksRequestSchema,async(request,extra)=>{try{const{tasks,nextCursor}=await this._taskStore.listTasks(request.params?.cursor,extra.sessionId);return{tasks,nextCursor,_meta:{}}}catch(error2){throw new McpError(ErrorCode.InvalidParams,`Failed to list tasks: ${error2 instanceof Error?error2.message:String(error2)}`)}}),this.setRequestHandler(
+CancelTaskRequestSchema,async(request,extra)=>{try{const task=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task not found: ${request.params.taskId}`);if(isTerminal(task.status))throw new McpError(ErrorCode.InvalidParams,`Cannot cancel task in terminal status: ${task.status}`);await this._taskStore.updateTaskStatus(request.params.taskId,"cancelled","Client cancelled task execution.",extra.sessionId),this._clearTaskQueue(
+request.params.taskId);const cancelledTask=await this._taskStore.getTask(request.params.taskId,extra.sessionId);if(!cancelledTask)throw new McpError(ErrorCode.InvalidParams,`Task not found after cancellation: ${request.params.taskId}`);return{_meta:{},...cancelledTask}}catch(error2){throw error2 instanceof McpError?error2:new McpError(ErrorCode.InvalidRequest,`Failed to cancel task: ${error2 instanceof Error?error2.message:String(error2)}`)}}))}async _oncancel(notification){if(!notification.params.
+requestId)return;this._requestHandlerAbortControllers.get(notification.params.requestId)?.abort(notification.params.reason)}_setupTimeout(messageId,timeout,maxTotalTimeout,onTimeout,resetTimeoutOnProgress=!1){this._timeoutInfo.set(messageId,{timeoutId:setTimeout(onTimeout,timeout),startTime:Date.now(),timeout,maxTotalTimeout,resetTimeoutOnProgress,onTimeout})}_resetTimeout(messageId){const info2=this._timeoutInfo.get(messageId);if(!info2)return!1;const totalElapsed=Date.now()-info2.startTime;if(info2.
+maxTotalTimeout&&totalElapsed>=info2.maxTotalTimeout)throw this._timeoutInfo.delete(messageId),McpError.fromError(ErrorCode.RequestTimeout,"Maximum total timeout exceeded",{maxTotalTimeout:info2.maxTotalTimeout,totalElapsed});return clearTimeout(info2.timeoutId),info2.timeoutId=setTimeout(info2.onTimeout,info2.timeout),!0}_cleanupTimeout(messageId){const info2=this._timeoutInfo.get(messageId);info2&&(clearTimeout(info2.timeoutId),this._timeoutInfo.delete(messageId))}async connect(transport){if(this.
+_transport)throw new Error("Already connected to a transport. Call close() before connecting to a new transport, or use a separate Protocol instance per connection.");this._transport=transport;const _onclose=this.transport?.onclose;this._transport.onclose=()=>{_onclose?.(),this._onclose()};const _onerror=this.transport?.onerror;this._transport.onerror=error2=>{_onerror?.(error2),this._onerror(error2)};const _onmessage=this._transport?.onmessage;this._transport.onmessage=(message,extra)=>{_onmessage?.(
+message,extra),isJSONRPCResultResponse(message)||isJSONRPCErrorResponse(message)?this._onresponse(message):isJSONRPCRequest(message)?this._onrequest(message,extra):isJSONRPCNotification(message)?this._onnotification(message):this._onerror(new Error(`Unknown message type: ${JSON.stringify(message)}`))},await this._transport.start()}_onclose(){const responseHandlers=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.
+clear();for(const controller of this._requestHandlerAbortControllers.values())controller.abort();this._requestHandlerAbortControllers.clear();const error2=McpError.fromError(ErrorCode.ConnectionClosed,"Connection closed");this._transport=void 0,this.onclose?.();for(const handler of responseHandlers.values())handler(error2)}_onerror(error2){this.onerror?.(error2)}_onnotification(notification){const handler=this._notificationHandlers.get(notification.method)??this.fallbackNotificationHandler;handler!==
+void 0&&Promise.resolve().then(()=>handler(notification)).catch(error2=>this._onerror(new Error(`Uncaught error in notification handler: ${error2}`)))}_onrequest(request,extra){const handler=this._requestHandlers.get(request.method)??this.fallbackRequestHandler,capturedTransport=this._transport,relatedTaskId=request.params?._meta?.[RELATED_TASK_META_KEY]?.taskId;if(handler===void 0){const errorResponse={jsonrpc:"2.0",id:request.id,error:{code:ErrorCode.MethodNotFound,message:"Method not found"}};
+relatedTaskId&&this._taskMessageQueue?this._enqueueTaskMessage(relatedTaskId,{type:"error",message:errorResponse,timestamp:Date.now()},capturedTransport?.sessionId).catch(error2=>this._onerror(new Error(`Failed to enqueue error response: ${error2}`))):capturedTransport?.send(errorResponse).catch(error2=>this._onerror(new Error(`Failed to send an error response: ${error2}`)));return}const abortController=new AbortController;this._requestHandlerAbortControllers.set(request.id,abortController);const taskCreationParams=isTaskAugmentedRequestParams(
+request.params)?request.params.task:void 0,taskStore=this._taskStore?this.requestTaskStore(request,capturedTransport?.sessionId):void 0,fullExtra={signal:abortController.signal,sessionId:capturedTransport?.sessionId,_meta:request.params?._meta,sendNotification:async notification=>{if(abortController.signal.aborted)return;const notificationOptions={relatedRequestId:request.id};relatedTaskId&&(notificationOptions.relatedTask={taskId:relatedTaskId}),await this.notification(notification,notificationOptions)},
+sendRequest:async(r2,resultSchema,options)=>{if(abortController.signal.aborted)throw new McpError(ErrorCode.ConnectionClosed,"Request was cancelled");const requestOptions={...options,relatedRequestId:request.id};relatedTaskId&&!requestOptions.relatedTask&&(requestOptions.relatedTask={taskId:relatedTaskId});const effectiveTaskId=requestOptions.relatedTask?.taskId??relatedTaskId;return effectiveTaskId&&taskStore&&await taskStore.updateTaskStatus(effectiveTaskId,"input_required"),await this.request(
+r2,resultSchema,requestOptions)},authInfo:extra?.authInfo,requestId:request.id,requestInfo:extra?.requestInfo,taskId:relatedTaskId,taskStore,taskRequestedTtl:taskCreationParams?.ttl,closeSSEStream:extra?.closeSSEStream,closeStandaloneSSEStream:extra?.closeStandaloneSSEStream};Promise.resolve().then(()=>{taskCreationParams&&this.assertTaskHandlerCapability(request.method)}).then(()=>handler(request,fullExtra)).then(async result=>{if(abortController.signal.aborted)return;const response={result,jsonrpc:"\
+2.0",id:request.id};relatedTaskId&&this._taskMessageQueue?await this._enqueueTaskMessage(relatedTaskId,{type:"response",message:response,timestamp:Date.now()},capturedTransport?.sessionId):await capturedTransport?.send(response)},async error2=>{if(abortController.signal.aborted)return;const errorResponse={jsonrpc:"2.0",id:request.id,error:{code:Number.isSafeInteger(error2.code)?error2.code:ErrorCode.InternalError,message:error2.message??"Internal error",...error2.data!==void 0&&{data:error2.data}}};
+relatedTaskId&&this._taskMessageQueue?await this._enqueueTaskMessage(relatedTaskId,{type:"error",message:errorResponse,timestamp:Date.now()},capturedTransport?.sessionId):await capturedTransport?.send(errorResponse)}).catch(error2=>this._onerror(new Error(`Failed to send response: ${error2}`))).finally(()=>{this._requestHandlerAbortControllers.delete(request.id)})}_onprogress(notification){const{progressToken,...params}=notification.params,messageId=Number(progressToken),handler=this._progressHandlers.
+get(messageId);if(!handler){this._onerror(new Error(`Received a progress notification for an unknown token: ${JSON.stringify(notification)}`));return}const responseHandler=this._responseHandlers.get(messageId),timeoutInfo=this._timeoutInfo.get(messageId);if(timeoutInfo&&responseHandler&&timeoutInfo.resetTimeoutOnProgress)try{this._resetTimeout(messageId)}catch(error2){this._responseHandlers.delete(messageId),this._progressHandlers.delete(messageId),this._cleanupTimeout(messageId),responseHandler(
+error2);return}handler(params)}_onresponse(response){const messageId=Number(response.id),resolver2=this._requestResolvers.get(messageId);if(resolver2){if(this._requestResolvers.delete(messageId),isJSONRPCResultResponse(response))resolver2(response);else{const error2=new McpError(response.error.code,response.error.message,response.error.data);resolver2(error2)}return}const handler=this._responseHandlers.get(messageId);if(handler===void 0){this._onerror(new Error(`Received a response for an unknow\
+n message ID: ${JSON.stringify(response)}`));return}this._responseHandlers.delete(messageId),this._cleanupTimeout(messageId);let isTaskResponse=!1;if(isJSONRPCResultResponse(response)&&response.result&&typeof response.result=="object"){const result=response.result;if(result.task&&typeof result.task=="object"){const task=result.task;typeof task.taskId=="string"&&(isTaskResponse=!0,this._taskProgressTokens.set(task.taskId,messageId))}}if(isTaskResponse||this._progressHandlers.delete(messageId),isJSONRPCResultResponse(
+response))handler(response);else{const error2=McpError.fromError(response.error.code,response.error.message,response.error.data);handler(error2)}}get transport(){return this._transport}async close(){await this._transport?.close()}async*requestStream(request,resultSchema,options){const{task}=options??{};if(!task){try{yield{type:"result",result:await this.request(request,resultSchema,options)}}catch(error2){yield{type:"error",error:error2 instanceof McpError?error2:new McpError(ErrorCode.InternalError,
+String(error2))}}return}let taskId;try{const createResult=await this.request(request,CreateTaskResultSchema,options);if(createResult.task)taskId=createResult.task.taskId,yield{type:"taskCreated",task:createResult.task};else throw new McpError(ErrorCode.InternalError,"Task creation did not return a task");for(;;){const task2=await this.getTask({taskId},options);if(yield{type:"taskStatus",task:task2},isTerminal(task2.status)){task2.status==="completed"?yield{type:"result",result:await this.getTaskResult(
+{taskId},resultSchema,options)}:task2.status==="failed"?yield{type:"error",error:new McpError(ErrorCode.InternalError,`Task ${taskId} failed`)}:task2.status==="cancelled"&&(yield{type:"error",error:new McpError(ErrorCode.InternalError,`Task ${taskId} was cancelled`)});return}if(task2.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId},resultSchema,options)};return}const pollInterval=task2.pollInterval??this._options?.defaultTaskPollInterval??1e3;await new Promise(
+resolve2=>setTimeout(resolve2,pollInterval)),options?.signal?.throwIfAborted()}}catch(error2){yield{type:"error",error:error2 instanceof McpError?error2:new McpError(ErrorCode.InternalError,String(error2))}}}request(request,resultSchema,options){const{relatedRequestId,resumptionToken,onresumptiontoken,task,relatedTask}=options??{};return new Promise((resolve2,reject)=>{const earlyReject=error2=>{reject(error2)};if(!this._transport){earlyReject(new Error("Not connected"));return}if(this._options?.
+enforceStrictCapabilities===!0)try{this.assertCapabilityForMethod(request.method),task&&this.assertTaskCapability(request.method)}catch(e){earlyReject(e);return}options?.signal?.throwIfAborted();const messageId=this._requestMessageId++,jsonrpcRequest={...request,jsonrpc:"2.0",id:messageId};options?.onprogress&&(this._progressHandlers.set(messageId,options.onprogress),jsonrpcRequest.params={...request.params,_meta:{...request.params?._meta||{},progressToken:messageId}}),task&&(jsonrpcRequest.params=
+{...jsonrpcRequest.params,task}),relatedTask&&(jsonrpcRequest.params={...jsonrpcRequest.params,_meta:{...jsonrpcRequest.params?._meta||{},[RELATED_TASK_META_KEY]:relatedTask}});const cancel=reason=>{this._responseHandlers.delete(messageId),this._progressHandlers.delete(messageId),this._cleanupTimeout(messageId),this._transport?.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:messageId,reason:String(reason)}},{relatedRequestId,resumptionToken,onresumptiontoken}).catch(error3=>this.
+_onerror(new Error(`Failed to send cancellation: ${error3}`)));const error2=reason instanceof McpError?reason:new McpError(ErrorCode.RequestTimeout,String(reason));reject(error2)};this._responseHandlers.set(messageId,response=>{if(!options?.signal?.aborted){if(response instanceof Error)return reject(response);try{const parseResult=safeParse$1(resultSchema,response.result);parseResult.success?resolve2(parseResult.data):reject(parseResult.error)}catch(error2){reject(error2)}}}),options?.signal?.addEventListener(
+"abort",()=>{cancel(options?.signal?.reason)});const timeout=options?.timeout??DEFAULT_REQUEST_TIMEOUT_MSEC,timeoutHandler=()=>cancel(McpError.fromError(ErrorCode.RequestTimeout,"Request timed out",{timeout}));this._setupTimeout(messageId,timeout,options?.maxTotalTimeout,timeoutHandler,options?.resetTimeoutOnProgress??!1);const relatedTaskId=relatedTask?.taskId;if(relatedTaskId){const responseResolver=response=>{const handler=this._responseHandlers.get(messageId);handler?handler(response):this._onerror(
+new Error(`Response handler missing for side-channeled request ${messageId}`))};this._requestResolvers.set(messageId,responseResolver),this._enqueueTaskMessage(relatedTaskId,{type:"request",message:jsonrpcRequest,timestamp:Date.now()}).catch(error2=>{this._cleanupTimeout(messageId),reject(error2)})}else this._transport.send(jsonrpcRequest,{relatedRequestId,resumptionToken,onresumptiontoken}).catch(error2=>{this._cleanupTimeout(messageId),reject(error2)})})}async getTask(params,options){return this.
+request({method:"tasks/get",params},GetTaskResultSchema,options)}async getTaskResult(params,resultSchema,options){return this.request({method:"tasks/result",params},resultSchema,options)}async listTasks(params,options){return this.request({method:"tasks/list",params},ListTasksResultSchema,options)}async cancelTask(params,options){return this.request({method:"tasks/cancel",params},CancelTaskResultSchema,options)}async notification(notification,options){if(!this._transport)throw new Error("Not con\
+nected");this.assertNotificationCapability(notification.method);const relatedTaskId=options?.relatedTask?.taskId;if(relatedTaskId){const jsonrpcNotification2={...notification,jsonrpc:"2.0",params:{...notification.params,_meta:{...notification.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}};await this._enqueueTaskMessage(relatedTaskId,{type:"notification",message:jsonrpcNotification2,timestamp:Date.now()});return}if((this._options?.debouncedNotificationMethods??[]).includes(notification.
+method)&&!notification.params&&!options?.relatedRequestId&&!options?.relatedTask){if(this._pendingDebouncedNotifications.has(notification.method))return;this._pendingDebouncedNotifications.add(notification.method),Promise.resolve().then(()=>{if(this._pendingDebouncedNotifications.delete(notification.method),!this._transport)return;let jsonrpcNotification2={...notification,jsonrpc:"2.0"};options?.relatedTask&&(jsonrpcNotification2={...jsonrpcNotification2,params:{...jsonrpcNotification2.params,_meta:{
+...jsonrpcNotification2.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}}),this._transport?.send(jsonrpcNotification2,options).catch(error2=>this._onerror(error2))});return}let jsonrpcNotification={...notification,jsonrpc:"2.0"};options?.relatedTask&&(jsonrpcNotification={...jsonrpcNotification,params:{...jsonrpcNotification.params,_meta:{...jsonrpcNotification.params?._meta||{},[RELATED_TASK_META_KEY]:options.relatedTask}}}),await this._transport.send(jsonrpcNotification,options)}setRequestHandler(requestSchema,handler){
+const method=getMethodLiteral(requestSchema);this.assertRequestHandlerCapability(method),this._requestHandlers.set(method,(request,extra)=>{const parsed=parseWithCompat(requestSchema,request);return Promise.resolve(handler(parsed,extra))})}removeRequestHandler(method){this._requestHandlers.delete(method)}assertCanSetRequestHandler(method){if(this._requestHandlers.has(method))throw new Error(`A request handler for ${method} already exists, which would be overridden`)}setNotificationHandler(notificationSchema,handler){
+const method=getMethodLiteral(notificationSchema);this._notificationHandlers.set(method,notification=>{const parsed=parseWithCompat(notificationSchema,notification);return Promise.resolve(handler(parsed))})}removeNotificationHandler(method){this._notificationHandlers.delete(method)}_cleanupTaskProgressHandler(taskId){const progressToken=this._taskProgressTokens.get(taskId);progressToken!==void 0&&(this._progressHandlers.delete(progressToken),this._taskProgressTokens.delete(taskId))}async _enqueueTaskMessage(taskId,message,sessionId){
+if(!this._taskStore||!this._taskMessageQueue)throw new Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");const maxQueueSize=this._options?.maxTaskQueueSize;await this._taskMessageQueue.enqueue(taskId,message,sessionId,maxQueueSize)}async _clearTaskQueue(taskId,sessionId){if(this._taskMessageQueue){const messages=await this._taskMessageQueue.dequeueAll(taskId,sessionId);for(const message of messages)if(message.type==="request"&&isJSONRPCRequest(message.message)){
+const requestId=message.message.id,resolver2=this._requestResolvers.get(requestId);resolver2?(resolver2(new McpError(ErrorCode.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(requestId)):this._onerror(new Error(`Resolver missing for request ${requestId} during task ${taskId} cleanup`))}}}async _waitForTaskUpdate(taskId,signal){let interval=this._options?.defaultTaskPollInterval??1e3;try{const task=await this._taskStore?.getTask(taskId);task?.pollInterval&&(interval=task.
+pollInterval)}catch{}return new Promise((resolve2,reject)=>{if(signal.aborted){reject(new McpError(ErrorCode.InvalidRequest,"Request cancelled"));return}const timeoutId=setTimeout(resolve2,interval);signal.addEventListener("abort",()=>{clearTimeout(timeoutId),reject(new McpError(ErrorCode.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(request,sessionId){const taskStore=this._taskStore;if(!taskStore)throw new Error("No task store configured");return{createTask:async taskParams=>{
+if(!request)throw new Error("No request provided");return await taskStore.createTask(taskParams,request.id,{method:request.method,params:request.params},sessionId)},getTask:async taskId=>{const task=await taskStore.getTask(taskId,sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,"Failed to retrieve task: Task not found");return task},storeTaskResult:async(taskId,status,result)=>{await taskStore.storeTaskResult(taskId,status,result,sessionId);const task=await taskStore.getTask(taskId,
+sessionId);if(task){const notification=TaskStatusNotificationSchema.parse({method:"notifications/tasks/status",params:task});await this.notification(notification),isTerminal(task.status)&&this._cleanupTaskProgressHandler(taskId)}},getTaskResult:taskId=>taskStore.getTaskResult(taskId,sessionId),updateTaskStatus:async(taskId,status,statusMessage)=>{const task=await taskStore.getTask(taskId,sessionId);if(!task)throw new McpError(ErrorCode.InvalidParams,`Task "${taskId}" not found - it may have been\
+ cleaned up`);if(isTerminal(task.status))throw new McpError(ErrorCode.InvalidParams,`Cannot update task "${taskId}" from terminal status "${task.status}" to "${status}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await taskStore.updateTaskStatus(taskId,status,statusMessage,sessionId);const updatedTask=await taskStore.getTask(taskId,sessionId);if(updatedTask){const notification=TaskStatusNotificationSchema.parse({method:"notifications/tasks/status",params:updatedTask});
+await this.notification(notification),isTerminal(updatedTask.status)&&this._cleanupTaskProgressHandler(taskId)}},listTasks:cursor=>taskStore.listTasks(cursor,sessionId)}}}function isPlainObject$1(value){return value!==null&&typeof value=="object"&&!Array.isArray(value)}function mergeCapabilities(base2,additional){const result={...base2};for(const key2 in additional){const k=key2,addValue=additional[k];if(addValue===void 0)continue;const baseValue=result[k];isPlainObject$1(baseValue)&&isPlainObject$1(
+addValue)?result[k]={...baseValue,...addValue}:result[k]=addValue}return result}var ajv$1={exports:{}},core$4={},validate$1={},boolSchema$1={},errors$1={},codegen$1={},code$6={},hasRequiredCode$3;function requireCode$3(){return hasRequiredCode$3||(hasRequiredCode$3=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.regexpCode=exports$1.getEsmExportName=exports$1.getProperty=exports$1.safeStringify=exports$1.stringify=exports$1.strConcat=exports$1.addCodeArg=
+exports$1.str=exports$1._=exports$1.nil=exports$1._Code=exports$1.Name=exports$1.IDENTIFIER=exports$1._CodeOrName=void 0;class _CodeOrName{}exports$1._CodeOrName=_CodeOrName,exports$1.IDENTIFIER=/^[a-z$_][a-z$_0-9]*$/i;class Name extends _CodeOrName{constructor(s2){if(super(),!exports$1.IDENTIFIER.test(s2))throw new Error("CodeGen: name must be a valid identifier");this.str=s2}toString(){return this.str}emptyStr(){return!1}get names(){return{[this.str]:1}}}exports$1.Name=Name;class _Code extends _CodeOrName{constructor(code2){
+super(),this._items=typeof code2=="string"?[code2]:code2}toString(){return this.str}emptyStr(){if(this._items.length>1)return!1;const item=this._items[0];return item===""||item==='""'}get str(){var _a2;return(_a2=this._str)!==null&&_a2!==void 0?_a2:this._str=this._items.reduce((s2,c2)=>`${s2}${c2}`,"")}get names(){var _a2;return(_a2=this._names)!==null&&_a2!==void 0?_a2:this._names=this._items.reduce((names2,c2)=>(c2 instanceof Name&&(names2[c2.str]=(names2[c2.str]||0)+1),names2),{})}}exports$1.
+_Code=_Code,exports$1.nil=new _Code("");function _(strs,...args){const code2=[strs[0]];let i=0;for(;i<args.length;)addCodeArg(code2,args[i]),code2.push(strs[++i]);return new _Code(code2)}exports$1._=_;const plus=new _Code("+");function str(strs,...args){const expr=[safeStringify(strs[0])];let i=0;for(;i<args.length;)expr.push(plus),addCodeArg(expr,args[i]),expr.push(plus,safeStringify(strs[++i]));return optimize(expr),new _Code(expr)}exports$1.str=str;function addCodeArg(code2,arg){arg instanceof
+_Code?code2.push(...arg._items):arg instanceof Name?code2.push(arg):code2.push(interpolate(arg))}exports$1.addCodeArg=addCodeArg;function optimize(expr){let i=1;for(;i<expr.length-1;){if(expr[i]===plus){const res=mergeExprItems(expr[i-1],expr[i+1]);if(res!==void 0){expr.splice(i-1,3,res);continue}expr[i++]="+"}i++}}function mergeExprItems(a,b){if(b==='""')return a;if(a==='""')return b;if(typeof a=="string")return b instanceof Name||a[a.length-1]!=='"'?void 0:typeof b!="string"?`${a.slice(0,-1)}${b}\
+"`:b[0]==='"'?a.slice(0,-1)+b.slice(1):void 0;if(typeof b=="string"&&b[0]==='"'&&!(a instanceof Name))return`"${a}${b.slice(1)}`}function strConcat(c1,c2){return c2.emptyStr()?c1:c1.emptyStr()?c2:str`${c1}${c2}`}exports$1.strConcat=strConcat;function interpolate(x){return typeof x=="number"||typeof x=="boolean"||x===null?x:safeStringify(Array.isArray(x)?x.join(","):x)}function stringify2(x){return new _Code(safeStringify(x))}exports$1.stringify=stringify2;function safeStringify(x){return JSON.stringify(
+x).replace(/\u2028/g,"\\u2028").replace(/\u2029/g,"\\u2029")}exports$1.safeStringify=safeStringify;function getProperty(key2){return typeof key2=="string"&&exports$1.IDENTIFIER.test(key2)?new _Code(`.${key2}`):_`[${key2}]`}exports$1.getProperty=getProperty;function getEsmExportName(key2){if(typeof key2=="string"&&exports$1.IDENTIFIER.test(key2))return new _Code(`${key2}`);throw new Error(`CodeGen: invalid export name: ${key2}, use explicit $id name mapping`)}exports$1.getEsmExportName=getEsmExportName;
+function regexpCode(rx){return new _Code(rx.toString())}exports$1.regexpCode=regexpCode})(code$6)),code$6}var scope$1={},hasRequiredScope$1;function requireScope$1(){return hasRequiredScope$1||(hasRequiredScope$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.ValueScope=exports$1.ValueScopeName=exports$1.Scope=exports$1.varKinds=exports$1.UsedValueState=void 0;const code_1=requireCode$3();class ValueError extends Error{constructor(name){super(`CodeGen: \
+"code" for ${name} not defined`),this.value=name.value}}var UsedValueState;(function(UsedValueState2){UsedValueState2[UsedValueState2.Started=0]="Started",UsedValueState2[UsedValueState2.Completed=1]="Completed"})(UsedValueState||(exports$1.UsedValueState=UsedValueState={})),exports$1.varKinds={const:new code_1.Name("const"),let:new code_1.Name("let"),var:new code_1.Name("var")};class Scope{constructor({prefixes,parent}={}){this._names={},this._prefixes=prefixes,this._parent=parent}toName(nameOrPrefix){
+return nameOrPrefix instanceof code_1.Name?nameOrPrefix:this.name(nameOrPrefix)}name(prefix){return new code_1.Name(this._newName(prefix))}_newName(prefix){const ng=this._names[prefix]||this._nameGroup(prefix);return`${prefix}${ng.index++}`}_nameGroup(prefix){var _a2,_b;if(!((_b=(_a2=this._parent)===null||_a2===void 0?void 0:_a2._prefixes)===null||_b===void 0)&&_b.has(prefix)||this._prefixes&&!this._prefixes.has(prefix))throw new Error(`CodeGen: prefix "${prefix}" is not allowed in this scope`);
+return this._names[prefix]={prefix,index:0}}}exports$1.Scope=Scope;class ValueScopeName extends code_1.Name{constructor(prefix,nameStr){super(nameStr),this.prefix=prefix}setValue(value,{property,itemIndex}){this.value=value,this.scopePath=(0,code_1._)`.${new code_1.Name(property)}[${itemIndex}]`}}exports$1.ValueScopeName=ValueScopeName;const line=(0,code_1._)`\n`;class ValueScope extends Scope{constructor(opts){super(opts),this._values={},this._scope=opts.scope,this.opts={...opts,_n:opts.lines?line:
+code_1.nil}}get(){return this._scope}name(prefix){return new ValueScopeName(prefix,this._newName(prefix))}value(nameOrPrefix,value){var _a2;if(value.ref===void 0)throw new Error("CodeGen: ref must be passed in value");const name=this.toName(nameOrPrefix),{prefix}=name,valueKey=(_a2=value.key)!==null&&_a2!==void 0?_a2:value.ref;let vs=this._values[prefix];if(vs){const _name=vs.get(valueKey);if(_name)return _name}else vs=this._values[prefix]=new Map;vs.set(valueKey,name);const s2=this._scope[prefix]||
+(this._scope[prefix]=[]),itemIndex=s2.length;return s2[itemIndex]=value.ref,name.setValue(value,{property:prefix,itemIndex}),name}getValue(prefix,keyOrRef){const vs=this._values[prefix];if(vs)return vs.get(keyOrRef)}scopeRefs(scopeName,values=this._values){return this._reduceValues(values,name=>{if(name.scopePath===void 0)throw new Error(`CodeGen: name "${name}" has no value`);return(0,code_1._)`${scopeName}${name.scopePath}`})}scopeCode(values=this._values,usedValues,getCode){return this._reduceValues(
+values,name=>{if(name.value===void 0)throw new Error(`CodeGen: name "${name}" has no value`);return name.value.code},usedValues,getCode)}_reduceValues(values,valueCode,usedValues={},getCode){let code2=code_1.nil;for(const prefix in values){const vs=values[prefix];if(!vs)continue;const nameSet=usedValues[prefix]=usedValues[prefix]||new Map;vs.forEach(name=>{if(nameSet.has(name))return;nameSet.set(name,UsedValueState.Started);let c2=valueCode(name);if(c2){const def=this.opts.es5?exports$1.varKinds.
+var:exports$1.varKinds.const;code2=(0,code_1._)`${code2}${def} ${name} = ${c2};${this.opts._n}`}else if(c2=getCode?.(name))code2=(0,code_1._)`${code2}${c2}${this.opts._n}`;else throw new ValueError(name);nameSet.set(name,UsedValueState.Completed)})}return code2}}exports$1.ValueScope=ValueScope})(scope$1)),scope$1}var hasRequiredCodegen$1;function requireCodegen$1(){return hasRequiredCodegen$1||(hasRequiredCodegen$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.
+or=exports$1.and=exports$1.not=exports$1.CodeGen=exports$1.operators=exports$1.varKinds=exports$1.ValueScopeName=exports$1.ValueScope=exports$1.Scope=exports$1.Name=exports$1.regexpCode=exports$1.stringify=exports$1.getProperty=exports$1.nil=exports$1.strConcat=exports$1.str=exports$1._=void 0;const code_1=requireCode$3(),scope_1=requireScope$1();var code_2=requireCode$3();Object.defineProperty(exports$1,"_",{enumerable:!0,get:function(){return code_2._}}),Object.defineProperty(exports$1,"str",{
+enumerable:!0,get:function(){return code_2.str}}),Object.defineProperty(exports$1,"strConcat",{enumerable:!0,get:function(){return code_2.strConcat}}),Object.defineProperty(exports$1,"nil",{enumerable:!0,get:function(){return code_2.nil}}),Object.defineProperty(exports$1,"getProperty",{enumerable:!0,get:function(){return code_2.getProperty}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){return code_2.stringify}}),Object.defineProperty(exports$1,"regexpCode",{enumerable:!0,
+get:function(){return code_2.regexpCode}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){return code_2.Name}});var scope_2=requireScope$1();Object.defineProperty(exports$1,"Scope",{enumerable:!0,get:function(){return scope_2.Scope}}),Object.defineProperty(exports$1,"ValueScope",{enumerable:!0,get:function(){return scope_2.ValueScope}}),Object.defineProperty(exports$1,"ValueScopeName",{enumerable:!0,get:function(){return scope_2.ValueScopeName}}),Object.defineProperty(exports$1,
+"varKinds",{enumerable:!0,get:function(){return scope_2.varKinds}}),exports$1.operators={GT:new code_1._Code(">"),GTE:new code_1._Code(">="),LT:new code_1._Code("<"),LTE:new code_1._Code("<="),EQ:new code_1._Code("==="),NEQ:new code_1._Code("!=="),NOT:new code_1._Code("!"),OR:new code_1._Code("||"),AND:new code_1._Code("&&"),ADD:new code_1._Code("+")};class Node2{optimizeNodes(){return this}optimizeNames(_names,_constants){return this}}class Def extends Node2{constructor(varKind,name,rhs){super(),
+this.varKind=varKind,this.name=name,this.rhs=rhs}render({es5,_n}){const varKind=es5?scope_1.varKinds.var:this.varKind,rhs=this.rhs===void 0?"":` = ${this.rhs}`;return`${varKind} ${this.name}${rhs};`+_n}optimizeNames(names2,constants2){if(names2[this.name.str])return this.rhs&&(this.rhs=optimizeExpr(this.rhs,names2,constants2)),this}get names(){return this.rhs instanceof code_1._CodeOrName?this.rhs.names:{}}}class Assign extends Node2{constructor(lhs,rhs,sideEffects){super(),this.lhs=lhs,this.rhs=
+rhs,this.sideEffects=sideEffects}render({_n}){return`${this.lhs} = ${this.rhs};`+_n}optimizeNames(names2,constants2){if(!(this.lhs instanceof code_1.Name&&!names2[this.lhs.str]&&!this.sideEffects))return this.rhs=optimizeExpr(this.rhs,names2,constants2),this}get names(){const names2=this.lhs instanceof code_1.Name?{}:{...this.lhs.names};return addExprNames(names2,this.rhs)}}class AssignOp extends Assign{constructor(lhs,op2,rhs,sideEffects){super(lhs,rhs,sideEffects),this.op=op2}render({_n}){return`${this.
+lhs} ${this.op}= ${this.rhs};`+_n}}class Label2 extends Node2{constructor(label){super(),this.label=label,this.names={}}render({_n}){return`${this.label}:`+_n}}class Break extends Node2{constructor(label){super(),this.label=label,this.names={}}render({_n}){return`break${this.label?` ${this.label}`:""};`+_n}}class Throw extends Node2{constructor(error2){super(),this.error=error2}render({_n}){return`throw ${this.error};`+_n}get names(){return this.error.names}}class AnyCode extends Node2{constructor(code2){
+super(),this.code=code2}render({_n}){return`${this.code};`+_n}optimizeNodes(){return`${this.code}`?this:void 0}optimizeNames(names2,constants2){return this.code=optimizeExpr(this.code,names2,constants2),this}get names(){return this.code instanceof code_1._CodeOrName?this.code.names:{}}}class ParentNode extends Node2{constructor(nodes2=[]){super(),this.nodes=nodes2}render(opts){return this.nodes.reduce((code2,n)=>code2+n.render(opts),"")}optimizeNodes(){const{nodes:nodes2}=this;let i=nodes2.length;
+for(;i--;){const n=nodes2[i].optimizeNodes();Array.isArray(n)?nodes2.splice(i,1,...n):n?nodes2[i]=n:nodes2.splice(i,1)}return nodes2.length>0?this:void 0}optimizeNames(names2,constants2){const{nodes:nodes2}=this;let i=nodes2.length;for(;i--;){const n=nodes2[i];n.optimizeNames(names2,constants2)||(subtractNames(names2,n.names),nodes2.splice(i,1))}return nodes2.length>0?this:void 0}get names(){return this.nodes.reduce((names2,n)=>addNames(names2,n.names),{})}}class BlockNode extends ParentNode{render(opts){
+return"{"+opts._n+super.render(opts)+"}"+opts._n}}class Root2 extends ParentNode{}class Else extends BlockNode{}Else.kind="else";class If extends BlockNode{constructor(condition,nodes2){super(nodes2),this.condition=condition}render(opts){let code2=`if(${this.condition})`+super.render(opts);return this.else&&(code2+="else "+this.else.render(opts)),code2}optimizeNodes(){super.optimizeNodes();const cond=this.condition;if(cond===!0)return this.nodes;let e=this.else;if(e){const ns=e.optimizeNodes();e=
+this.else=Array.isArray(ns)?new Else(ns):ns}if(e)return cond===!1?e instanceof If?e:e.nodes:this.nodes.length?this:new If(not2(cond),e instanceof If?[e]:e.nodes);if(!(cond===!1||!this.nodes.length))return this}optimizeNames(names2,constants2){var _a2;if(this.else=(_a2=this.else)===null||_a2===void 0?void 0:_a2.optimizeNames(names2,constants2),!!(super.optimizeNames(names2,constants2)||this.else))return this.condition=optimizeExpr(this.condition,names2,constants2),this}get names(){const names2=super.
+names;return addExprNames(names2,this.condition),this.else&&addNames(names2,this.else.names),names2}}If.kind="if";class For extends BlockNode{}For.kind="for";class ForLoop extends For{constructor(iteration){super(),this.iteration=iteration}render(opts){return`for(${this.iteration})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iteration=optimizeExpr(this.iteration,names2,constants2),this}get names(){return addNames(super.names,this.iteration.
+names)}}class ForRange extends For{constructor(varKind,name,from,to){super(),this.varKind=varKind,this.name=name,this.from=from,this.to=to}render(opts){const varKind=opts.es5?scope_1.varKinds.var:this.varKind,{name,from,to}=this;return`for(${varKind} ${name}=${from}; ${name}<${to}; ${name}++)`+super.render(opts)}get names(){const names2=addExprNames(super.names,this.from);return addExprNames(names2,this.to)}}class ForIter extends For{constructor(loop2,varKind,name,iterable){super(),this.loop=loop2,
+this.varKind=varKind,this.name=name,this.iterable=iterable}render(opts){return`for(${this.varKind} ${this.name} ${this.loop} ${this.iterable})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iterable=optimizeExpr(this.iterable,names2,constants2),this}get names(){return addNames(super.names,this.iterable.names)}}class Func extends BlockNode{constructor(name,args,async){super(),this.name=name,this.args=args,this.async=async}render(opts){return`${this.
+async?"async ":""}function ${this.name}(${this.args})`+super.render(opts)}}Func.kind="func";class Return extends ParentNode{render(opts){return"return "+super.render(opts)}}Return.kind="return";class Try extends BlockNode{render(opts){let code2="try"+super.render(opts);return this.catch&&(code2+=this.catch.render(opts)),this.finally&&(code2+=this.finally.render(opts)),code2}optimizeNodes(){var _a2,_b;return super.optimizeNodes(),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNodes(),(_b=this.
+finally)===null||_b===void 0||_b.optimizeNodes(),this}optimizeNames(names2,constants2){var _a2,_b;return super.optimizeNames(names2,constants2),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNames(names2,constants2),(_b=this.finally)===null||_b===void 0||_b.optimizeNames(names2,constants2),this}get names(){const names2=super.names;return this.catch&&addNames(names2,this.catch.names),this.finally&&addNames(names2,this.finally.names),names2}}class Catch extends BlockNode{constructor(error2){super(),
+this.error=error2}render(opts){return`catch(${this.error})`+super.render(opts)}}Catch.kind="catch";class Finally extends BlockNode{render(opts){return"finally"+super.render(opts)}}Finally.kind="finally";class CodeGen{constructor(extScope,opts={}){this._values={},this._blockStarts=[],this._constants={},this.opts={...opts,_n:opts.lines?`
+`:""},this._extScope=extScope,this._scope=new scope_1.Scope({parent:extScope}),this._nodes=[new Root2]}toString(){return this._root.render(this.opts)}name(prefix){return this._scope.name(prefix)}scopeName(prefix){return this._extScope.name(prefix)}scopeValue(prefixOrName,value){const name=this._extScope.value(prefixOrName,value);return(this._values[name.prefix]||(this._values[name.prefix]=new Set)).add(name),name}getScopeValue(prefix,keyOrRef){return this._extScope.getValue(prefix,keyOrRef)}scopeRefs(scopeName){
+return this._extScope.scopeRefs(scopeName,this._values)}scopeCode(){return this._extScope.scopeCode(this._values)}_def(varKind,nameOrPrefix,rhs,constant){const name=this._scope.toName(nameOrPrefix);return rhs!==void 0&&constant&&(this._constants[name.str]=rhs),this._leafNode(new Def(varKind,name,rhs)),name}const(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.const,nameOrPrefix,rhs,_constant)}let(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.let,nameOrPrefix,rhs,_constant)}var(nameOrPrefix,rhs,_constant){
+return this._def(scope_1.varKinds.var,nameOrPrefix,rhs,_constant)}assign(lhs,rhs,sideEffects){return this._leafNode(new Assign(lhs,rhs,sideEffects))}add(lhs,rhs){return this._leafNode(new AssignOp(lhs,exports$1.operators.ADD,rhs))}code(c2){return typeof c2=="function"?c2():c2!==code_1.nil&&this._leafNode(new AnyCode(c2)),this}object(...keyValues){const code2=["{"];for(const[key2,value]of keyValues)code2.length>1&&code2.push(","),code2.push(key2),(key2!==value||this.opts.es5)&&(code2.push(":"),(0,code_1.
+addCodeArg)(code2,value));return code2.push("}"),new code_1._Code(code2)}if(condition,thenBody,elseBody){if(this._blockNode(new If(condition)),thenBody&&elseBody)this.code(thenBody).else().code(elseBody).endIf();else if(thenBody)this.code(thenBody).endIf();else if(elseBody)throw new Error('CodeGen: "else" body without "then" body');return this}elseIf(condition){return this._elseNode(new If(condition))}else(){return this._elseNode(new Else)}endIf(){return this._endBlockNode(If,Else)}_for(node2,forBody){
+return this._blockNode(node2),forBody&&this.code(forBody).endFor(),this}for(iteration,forBody){return this._for(new ForLoop(iteration),forBody)}forRange(nameOrPrefix,from,to,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.let){const name=this._scope.toName(nameOrPrefix);return this._for(new ForRange(varKind,name,from,to),()=>forBody(name))}forOf(nameOrPrefix,iterable,forBody,varKind=scope_1.varKinds.const){const name=this._scope.toName(nameOrPrefix);if(this.opts.es5){const arr=iterable instanceof
+code_1.Name?iterable:this.var("_arr",iterable);return this.forRange("_i",0,(0,code_1._)`${arr}.length`,i=>{this.var(name,(0,code_1._)`${arr}[${i}]`),forBody(name)})}return this._for(new ForIter("of",varKind,name,iterable),()=>forBody(name))}forIn(nameOrPrefix,obj,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.const){if(this.opts.ownProperties)return this.forOf(nameOrPrefix,(0,code_1._)`Object.keys(${obj})`,forBody);const name=this._scope.toName(nameOrPrefix);return this._for(
+new ForIter("in",varKind,name,obj),()=>forBody(name))}endFor(){return this._endBlockNode(For)}label(label){return this._leafNode(new Label2(label))}break(label){return this._leafNode(new Break(label))}return(value){const node2=new Return;if(this._blockNode(node2),this.code(value),node2.nodes.length!==1)throw new Error('CodeGen: "return" should have one node');return this._endBlockNode(Return)}try(tryBody,catchCode,finallyCode){if(!catchCode&&!finallyCode)throw new Error('CodeGen: "try" without "\
+catch" and "finally"');const node2=new Try;if(this._blockNode(node2),this.code(tryBody),catchCode){const error2=this.name("e");this._currNode=node2.catch=new Catch(error2),catchCode(error2)}return finallyCode&&(this._currNode=node2.finally=new Finally,this.code(finallyCode)),this._endBlockNode(Catch,Finally)}throw(error2){return this._leafNode(new Throw(error2))}block(body2,nodeCount){return this._blockStarts.push(this._nodes.length),body2&&this.code(body2).endBlock(nodeCount),this}endBlock(nodeCount){
+const len=this._blockStarts.pop();if(len===void 0)throw new Error("CodeGen: not in self-balancing block");const toClose=this._nodes.length-len;if(toClose<0||nodeCount!==void 0&&toClose!==nodeCount)throw new Error(`CodeGen: wrong number of nodes: ${toClose} vs ${nodeCount} expected`);return this._nodes.length=len,this}func(name,args=code_1.nil,async,funcBody){return this._blockNode(new Func(name,args,async)),funcBody&&this.code(funcBody).endFunc(),this}endFunc(){return this._endBlockNode(Func)}optimize(n=1){
+for(;n-- >0;)this._root.optimizeNodes(),this._root.optimizeNames(this._root.names,this._constants)}_leafNode(node2){return this._currNode.nodes.push(node2),this}_blockNode(node2){this._currNode.nodes.push(node2),this._nodes.push(node2)}_endBlockNode(N1,N2){const n=this._currNode;if(n instanceof N1||N2&&n instanceof N2)return this._nodes.pop(),this;throw new Error(`CodeGen: not in block "${N2?`${N1.kind}/${N2.kind}`:N1.kind}"`)}_elseNode(node2){const n=this._currNode;if(!(n instanceof If))throw new Error(
+'CodeGen: "else" without "if"');return this._currNode=n.else=node2,this}get _root(){return this._nodes[0]}get _currNode(){const ns=this._nodes;return ns[ns.length-1]}set _currNode(node2){const ns=this._nodes;ns[ns.length-1]=node2}}exports$1.CodeGen=CodeGen;function addNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)+(from[n]||0);return names2}function addExprNames(names2,from){return from instanceof code_1._CodeOrName?addNames(names2,from.names):names2}function optimizeExpr(expr,names2,constants2){
+if(expr instanceof code_1.Name)return replaceName(expr);if(!canOptimize(expr))return expr;return new code_1._Code(expr._items.reduce((items2,c2)=>(c2 instanceof code_1.Name&&(c2=replaceName(c2)),c2 instanceof code_1._Code?items2.push(...c2._items):items2.push(c2),items2),[]));function replaceName(n){const c2=constants2[n.str];return c2===void 0||names2[n.str]!==1?n:(delete names2[n.str],c2)}function canOptimize(e){return e instanceof code_1._Code&&e._items.some(c2=>c2 instanceof code_1.Name&&names2[c2.
+str]===1&&constants2[c2.str]!==void 0)}}function subtractNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)-(from[n]||0)}function not2(x){return typeof x=="boolean"||typeof x=="number"||x===null?!x:(0,code_1._)`!${par(x)}`}exports$1.not=not2;const andCode=mappend(exports$1.operators.AND);function and(...args){return args.reduce(andCode)}exports$1.and=and;const orCode=mappend(exports$1.operators.OR);function or(...args){return args.reduce(orCode)}exports$1.or=or;function mappend(op2){
+return(x,y)=>x===code_1.nil?y:y===code_1.nil?x:(0,code_1._)`${par(x)} ${op2} ${par(y)}`}function par(x){return x instanceof code_1.Name?x:(0,code_1._)`(${x})`}})(codegen$1)),codegen$1}var util$1={},hasRequiredUtil$1;function requireUtil$1(){if(hasRequiredUtil$1)return util$1;hasRequiredUtil$1=1,Object.defineProperty(util$1,"__esModule",{value:!0}),util$1.checkStrictMode=util$1.getErrorPath=util$1.Type=util$1.useFunc=util$1.setEvaluated=util$1.evaluatedPropsToName=util$1.mergeEvaluated=util$1.eachItem=
+util$1.unescapeJsonPointer=util$1.escapeJsonPointer=util$1.escapeFragment=util$1.unescapeFragment=util$1.schemaRefOrVal=util$1.schemaHasRulesButRef=util$1.schemaHasRules=util$1.checkUnknownRules=util$1.alwaysValidSchema=util$1.toHash=void 0;const codegen_1=requireCodegen$1(),code_1=requireCode$3();function toHash(arr){const hash2={};for(const item of arr)hash2[item]=!0;return hash2}util$1.toHash=toHash;function alwaysValidSchema(it,schema){return typeof schema=="boolean"?schema:Object.keys(schema).
+length===0?!0:(checkUnknownRules(it,schema),!schemaHasRules(schema,it.self.RULES.all))}util$1.alwaysValidSchema=alwaysValidSchema;function checkUnknownRules(it,schema=it.schema){const{opts,self:self2}=it;if(!opts.strictSchema||typeof schema=="boolean")return;const rules2=self2.RULES.keywords;for(const key2 in schema)rules2[key2]||checkStrictMode(it,`unknown keyword: "${key2}"`)}util$1.checkUnknownRules=checkUnknownRules;function schemaHasRules(schema,rules2){if(typeof schema=="boolean")return!schema;
+for(const key2 in schema)if(rules2[key2])return!0;return!1}util$1.schemaHasRules=schemaHasRules;function schemaHasRulesButRef(schema,RULES){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(key2!=="$ref"&&RULES.all[key2])return!0;return!1}util$1.schemaHasRulesButRef=schemaHasRulesButRef;function schemaRefOrVal({topSchemaRef,schemaPath},schema,keyword2,$data){if(!$data){if(typeof schema=="number"||typeof schema=="boolean")return schema;if(typeof schema=="string")return(0,codegen_1.
+_)`${schema}`}return(0,codegen_1._)`${topSchemaRef}${schemaPath}${(0,codegen_1.getProperty)(keyword2)}`}util$1.schemaRefOrVal=schemaRefOrVal;function unescapeFragment(str){return unescapeJsonPointer(decodeURIComponent(str))}util$1.unescapeFragment=unescapeFragment;function escapeFragment(str){return encodeURIComponent(escapeJsonPointer(str))}util$1.escapeFragment=escapeFragment;function escapeJsonPointer(str){return typeof str=="number"?`${str}`:str.replace(/~/g,"~0").replace(/\//g,"~1")}util$1.
+escapeJsonPointer=escapeJsonPointer;function unescapeJsonPointer(str){return str.replace(/~1/g,"/").replace(/~0/g,"~")}util$1.unescapeJsonPointer=unescapeJsonPointer;function eachItem(xs,f){if(Array.isArray(xs))for(const x of xs)f(x);else f(xs)}util$1.eachItem=eachItem;function makeMergeEvaluated({mergeNames,mergeToName,mergeValues:mergeValues2,resultToName}){return(gen,from,to,toName)=>{const res=to===void 0?from:to instanceof codegen_1.Name?(from instanceof codegen_1.Name?mergeNames(gen,from,to):
+mergeToName(gen,from,to),to):from instanceof codegen_1.Name?(mergeToName(gen,to,from),from):mergeValues2(from,to);return toName===codegen_1.Name&&!(res instanceof codegen_1.Name)?resultToName(gen,res):res}}util$1.mergeEvaluated={props:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>{gen.if((0,codegen_1._)`${from} === true`,()=>gen.assign(to,!0),()=>gen.assign(to,(0,codegen_1._)`${to} || {}`).code((0,codegen_1._)`Object.assign(${to}, ${from})`))}),
+mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>{from===!0?gen.assign(to,!0):(gen.assign(to,(0,codegen_1._)`${to} || {}`),setEvaluated(gen,to,from))}),mergeValues:(from,to)=>from===!0?!0:{...from,...to},resultToName:evaluatedPropsToName}),items:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>gen.assign(to,(0,codegen_1._)`${from} === true ? true : ${to} > ${from} ? ${to} : ${from}`)),mergeToName:(gen,from,to)=>gen.
+if((0,codegen_1._)`${to} !== true`,()=>gen.assign(to,from===!0?!0:(0,codegen_1._)`${to} > ${from} ? ${to} : ${from}`)),mergeValues:(from,to)=>from===!0?!0:Math.max(from,to),resultToName:(gen,items2)=>gen.var("items",items2)})};function evaluatedPropsToName(gen,ps){if(ps===!0)return gen.var("props",!0);const props=gen.var("props",(0,codegen_1._)`{}`);return ps!==void 0&&setEvaluated(gen,props,ps),props}util$1.evaluatedPropsToName=evaluatedPropsToName;function setEvaluated(gen,props,ps){Object.keys(
+ps).forEach(p2=>gen.assign((0,codegen_1._)`${props}${(0,codegen_1.getProperty)(p2)}`,!0))}util$1.setEvaluated=setEvaluated;const snippets={};function useFunc(gen,f){return gen.scopeValue("func",{ref:f,code:snippets[f.code]||(snippets[f.code]=new code_1._Code(f.code))})}util$1.useFunc=useFunc;var Type;(function(Type2){Type2[Type2.Num=0]="Num",Type2[Type2.Str=1]="Str"})(Type||(util$1.Type=Type={}));function getErrorPath(dataProp,dataPropType,jsPropertySyntax){if(dataProp instanceof codegen_1.Name){
+const isNumber2=dataPropType===Type.Num;return jsPropertySyntax?isNumber2?(0,codegen_1._)`"[" + ${dataProp} + "]"`:(0,codegen_1._)`"['" + ${dataProp} + "']"`:isNumber2?(0,codegen_1._)`"/" + ${dataProp}`:(0,codegen_1._)`"/" + ${dataProp}.replace(/~/g, "~0").replace(/\\//g, "~1")`}return jsPropertySyntax?(0,codegen_1.getProperty)(dataProp).toString():"/"+escapeJsonPointer(dataProp)}util$1.getErrorPath=getErrorPath;function checkStrictMode(it,msg,mode=it.opts.strictSchema){if(mode){if(msg=`strict m\
+ode: ${msg}`,mode===!0)throw new Error(msg);it.self.logger.warn(msg)}}return util$1.checkStrictMode=checkStrictMode,util$1}var names$1={},hasRequiredNames$1;function requireNames$1(){if(hasRequiredNames$1)return names$1;hasRequiredNames$1=1,Object.defineProperty(names$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),names2={data:new codegen_1.Name("data"),valCxt:new codegen_1.Name("valCxt"),instancePath:new codegen_1.Name("instancePath"),parentData:new codegen_1.Name("parentData"),parentDataProperty:new codegen_1.
+Name("parentDataProperty"),rootData:new codegen_1.Name("rootData"),dynamicAnchors:new codegen_1.Name("dynamicAnchors"),vErrors:new codegen_1.Name("vErrors"),errors:new codegen_1.Name("errors"),this:new codegen_1.Name("this"),self:new codegen_1.Name("self"),scope:new codegen_1.Name("scope"),json:new codegen_1.Name("json"),jsonPos:new codegen_1.Name("jsonPos"),jsonLen:new codegen_1.Name("jsonLen"),jsonPart:new codegen_1.Name("jsonPart")};return names$1.default=names2,names$1}var hasRequiredErrors$1;
+function requireErrors$1(){return hasRequiredErrors$1||(hasRequiredErrors$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.extendErrors=exports$1.resetErrorsCount=exports$1.reportExtraError=exports$1.reportError=exports$1.keyword$DataError=exports$1.keywordError=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),names_1=requireNames$1();exports$1.keywordError={message:({keyword:keyword2})=>(0,codegen_1.str)`must pass "${keyword2}" keyword validation`},
+exports$1.keyword$DataError={message:({keyword:keyword2,schemaType})=>schemaType?(0,codegen_1.str)`"${keyword2}" keyword must be ${schemaType} ($data)`:(0,codegen_1.str)`"${keyword2}" keyword is invalid ($data)`};function reportError(cxt,error2=exports$1.keywordError,errorPaths,overrideAllErrors){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);overrideAllErrors??(compositeRule||allErrors)?addError(gen,errObj):returnErrors(it,(0,codegen_1._)`[${errObj}]`)}
+exports$1.reportError=reportError;function reportExtraError(cxt,error2=exports$1.keywordError,errorPaths){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);addError(gen,errObj),compositeRule||allErrors||returnErrors(it,names_1.default.vErrors)}exports$1.reportExtraError=reportExtraError;function resetErrorsCount(gen,errsCount){gen.assign(names_1.default.errors,errsCount),gen.if((0,codegen_1._)`${names_1.default.vErrors} !== null`,()=>gen.if(errsCount,()=>gen.
+assign((0,codegen_1._)`${names_1.default.vErrors}.length`,errsCount),()=>gen.assign(names_1.default.vErrors,null)))}exports$1.resetErrorsCount=resetErrorsCount;function extendErrors({gen,keyword:keyword2,schemaValue,data,errsCount,it}){if(errsCount===void 0)throw new Error("ajv implementation error");const err=gen.name("err");gen.forRange("i",errsCount,names_1.default.errors,i=>{gen.const(err,(0,codegen_1._)`${names_1.default.vErrors}[${i}]`),gen.if((0,codegen_1._)`${err}.instancePath === undefined`,
+()=>gen.assign((0,codegen_1._)`${err}.instancePath`,(0,codegen_1.strConcat)(names_1.default.instancePath,it.errorPath))),gen.assign((0,codegen_1._)`${err}.schemaPath`,(0,codegen_1.str)`${it.errSchemaPath}/${keyword2}`),it.opts.verbose&&(gen.assign((0,codegen_1._)`${err}.schema`,schemaValue),gen.assign((0,codegen_1._)`${err}.data`,data))})}exports$1.extendErrors=extendErrors;function addError(gen,errObj){const err=gen.const("err",errObj);gen.if((0,codegen_1._)`${names_1.default.vErrors} === null`,
+()=>gen.assign(names_1.default.vErrors,(0,codegen_1._)`[${err}]`),(0,codegen_1._)`${names_1.default.vErrors}.push(${err})`),gen.code((0,codegen_1._)`${names_1.default.errors}++`)}function returnErrors(it,errs){const{gen,validateName,schemaEnv}=it;schemaEnv.$async?gen.throw((0,codegen_1._)`new ${it.ValidationError}(${errs})`):(gen.assign((0,codegen_1._)`${validateName}.errors`,errs),gen.return(!1))}const E={keyword:new codegen_1.Name("keyword"),schemaPath:new codegen_1.Name("schemaPath"),params:new codegen_1.
+Name("params"),propertyName:new codegen_1.Name("propertyName"),message:new codegen_1.Name("message"),schema:new codegen_1.Name("schema"),parentSchema:new codegen_1.Name("parentSchema")};function errorObjectCode(cxt,error2,errorPaths){const{createErrors}=cxt.it;return createErrors===!1?(0,codegen_1._)`{}`:errorObject(cxt,error2,errorPaths)}function errorObject(cxt,error2,errorPaths={}){const{gen,it}=cxt,keyValues=[errorInstancePath(it,errorPaths),errorSchemaPath(cxt,errorPaths)];return extraErrorProps(
+cxt,error2,keyValues),gen.object(...keyValues)}function errorInstancePath({errorPath},{instancePath}){const instPath=instancePath?(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(instancePath,util_1.Type.Str)}`:errorPath;return[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,instPath)]}function errorSchemaPath({keyword:keyword2,it:{errSchemaPath}},{schemaPath,parentSchema}){let schPath=parentSchema?errSchemaPath:(0,codegen_1.str)`${errSchemaPath}/${keyword2}`;
+return schemaPath&&(schPath=(0,codegen_1.str)`${schPath}${(0,util_1.getErrorPath)(schemaPath,util_1.Type.Str)}`),[E.schemaPath,schPath]}function extraErrorProps(cxt,{params,message},keyValues){const{keyword:keyword2,data,schemaValue,it}=cxt,{opts,propertyName,topSchemaRef,schemaPath}=it;keyValues.push([E.keyword,keyword2],[E.params,typeof params=="function"?params(cxt):params||(0,codegen_1._)`{}`]),opts.messages&&keyValues.push([E.message,typeof message=="function"?message(cxt):message]),opts.verbose&&
+keyValues.push([E.schema,schemaValue],[E.parentSchema,(0,codegen_1._)`${topSchemaRef}${schemaPath}`],[names_1.default.data,data]),propertyName&&keyValues.push([E.propertyName,propertyName])}})(errors$1)),errors$1}var hasRequiredBoolSchema$1;function requireBoolSchema$1(){if(hasRequiredBoolSchema$1)return boolSchema$1;hasRequiredBoolSchema$1=1,Object.defineProperty(boolSchema$1,"__esModule",{value:!0}),boolSchema$1.boolOrEmptySchema=boolSchema$1.topBoolOrEmptySchema=void 0;const errors_1=requireErrors$1(),
+codegen_1=requireCodegen$1(),names_1=requireNames$1(),boolError={message:"boolean schema is false"};function topBoolOrEmptySchema(it){const{gen,schema,validateName}=it;schema===!1?falseSchemaError(it,!1):typeof schema=="object"&&schema.$async===!0?gen.return(names_1.default.data):(gen.assign((0,codegen_1._)`${validateName}.errors`,null),gen.return(!0))}boolSchema$1.topBoolOrEmptySchema=topBoolOrEmptySchema;function boolOrEmptySchema(it,valid2){const{gen,schema}=it;schema===!1?(gen.var(valid2,!1),
+falseSchemaError(it)):gen.var(valid2,!0)}boolSchema$1.boolOrEmptySchema=boolOrEmptySchema;function falseSchemaError(it,overrideAllErrors){const{gen,data}=it,cxt={gen,keyword:"false schema",data,schema:!1,schemaCode:!1,schemaValue:!1,params:{},it};(0,errors_1.reportError)(cxt,boolError,void 0,overrideAllErrors)}return boolSchema$1}var dataType$1={},rules$1={},hasRequiredRules$1;function requireRules$1(){if(hasRequiredRules$1)return rules$1;hasRequiredRules$1=1,Object.defineProperty(rules$1,"__esM\
+odule",{value:!0}),rules$1.getRules=rules$1.isJSONType=void 0;const _jsonTypes=["string","number","integer","boolean","null","object","array"],jsonTypes=new Set(_jsonTypes);function isJSONType(x){return typeof x=="string"&&jsonTypes.has(x)}rules$1.isJSONType=isJSONType;function getRules(){const groups={number:{type:"number",rules:[]},string:{type:"string",rules:[]},array:{type:"array",rules:[]},object:{type:"object",rules:[]}};return{types:{...groups,integer:!0,boolean:!0,null:!0},rules:[{rules:[]},
+groups.number,groups.string,groups.array,groups.object],post:{rules:[]},all:{},keywords:{}}}return rules$1.getRules=getRules,rules$1}var applicability$1={},hasRequiredApplicability$1;function requireApplicability$1(){if(hasRequiredApplicability$1)return applicability$1;hasRequiredApplicability$1=1,Object.defineProperty(applicability$1,"__esModule",{value:!0}),applicability$1.shouldUseRule=applicability$1.shouldUseGroup=applicability$1.schemaHasRulesForType=void 0;function schemaHasRulesForType({
+schema,self:self2},type2){const group=self2.RULES.types[type2];return group&&group!==!0&&shouldUseGroup(schema,group)}applicability$1.schemaHasRulesForType=schemaHasRulesForType;function shouldUseGroup(schema,group){return group.rules.some(rule=>shouldUseRule(schema,rule))}applicability$1.shouldUseGroup=shouldUseGroup;function shouldUseRule(schema,rule){var _a2;return schema[rule.keyword]!==void 0||((_a2=rule.definition.implements)===null||_a2===void 0?void 0:_a2.some(kwd=>schema[kwd]!==void 0))}
+return applicability$1.shouldUseRule=shouldUseRule,applicability$1}var hasRequiredDataType$1;function requireDataType$1(){if(hasRequiredDataType$1)return dataType$1;hasRequiredDataType$1=1,Object.defineProperty(dataType$1,"__esModule",{value:!0}),dataType$1.reportTypeError=dataType$1.checkDataTypes=dataType$1.checkDataType=dataType$1.coerceAndCheckDataType=dataType$1.getJSONTypes=dataType$1.getSchemaTypes=dataType$1.DataType=void 0;const rules_1=requireRules$1(),applicability_1=requireApplicability$1(),
+errors_1=requireErrors$1(),codegen_1=requireCodegen$1(),util_1=requireUtil$1();var DataType;(function(DataType2){DataType2[DataType2.Correct=0]="Correct",DataType2[DataType2.Wrong=1]="Wrong"})(DataType||(dataType$1.DataType=DataType={}));function getSchemaTypes(schema){const types2=getJSONTypes(schema.type);if(types2.includes("null")){if(schema.nullable===!1)throw new Error("type: null contradicts nullable: false")}else{if(!types2.length&&schema.nullable!==void 0)throw new Error('"nullable" cann\
+ot be used without "type"');schema.nullable===!0&&types2.push("null")}return types2}dataType$1.getSchemaTypes=getSchemaTypes;function getJSONTypes(ts){const types2=Array.isArray(ts)?ts:ts?[ts]:[];if(types2.every(rules_1.isJSONType))return types2;throw new Error("type must be JSONType or JSONType[]: "+types2.join(","))}dataType$1.getJSONTypes=getJSONTypes;function coerceAndCheckDataType(it,types2){const{gen,data,opts}=it,coerceTo=coerceToTypes(types2,opts.coerceTypes),checkTypes=types2.length>0&&
+!(coerceTo.length===0&&types2.length===1&&(0,applicability_1.schemaHasRulesForType)(it,types2[0]));if(checkTypes){const wrongType=checkDataTypes(types2,data,opts.strictNumbers,DataType.Wrong);gen.if(wrongType,()=>{coerceTo.length?coerceData(it,types2,coerceTo):reportTypeError(it)})}return checkTypes}dataType$1.coerceAndCheckDataType=coerceAndCheckDataType;const COERCIBLE=new Set(["string","number","integer","boolean","null"]);function coerceToTypes(types2,coerceTypes){return coerceTypes?types2.filter(
+t=>COERCIBLE.has(t)||coerceTypes==="array"&&t==="array"):[]}function coerceData(it,types2,coerceTo){const{gen,data,opts}=it,dataType2=gen.let("dataType",(0,codegen_1._)`typeof ${data}`),coerced=gen.let("coerced",(0,codegen_1._)`undefined`);opts.coerceTypes==="array"&&gen.if((0,codegen_1._)`${dataType2} == 'object' && Array.isArray(${data}) && ${data}.length == 1`,()=>gen.assign(data,(0,codegen_1._)`${data}[0]`).assign(dataType2,(0,codegen_1._)`typeof ${data}`).if(checkDataTypes(types2,data,opts.
+strictNumbers),()=>gen.assign(coerced,data))),gen.if((0,codegen_1._)`${coerced} !== undefined`);for(const t of coerceTo)(COERCIBLE.has(t)||t==="array"&&opts.coerceTypes==="array")&&coerceSpecificType(t);gen.else(),reportTypeError(it),gen.endIf(),gen.if((0,codegen_1._)`${coerced} !== undefined`,()=>{gen.assign(data,coerced),assignParentData(it,coerced)});function coerceSpecificType(t){switch(t){case"string":gen.elseIf((0,codegen_1._)`${dataType2} == "number" || ${dataType2} == "boolean"`).assign(
+coerced,(0,codegen_1._)`"" + ${data}`).elseIf((0,codegen_1._)`${data} === null`).assign(coerced,(0,codegen_1._)`""`);return;case"number":gen.elseIf((0,codegen_1._)`${dataType2} == "boolean" || ${data} === null
+              || (${dataType2} == "string" && ${data} && ${data} == +${data})`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"integer":gen.elseIf((0,codegen_1._)`${dataType2} === "boolean" || ${data} === null
+              || (${dataType2} === "string" && ${data} && ${data} == +${data} && !(${data} % 1))`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"boolean":gen.elseIf((0,codegen_1._)`${data} === "false" || ${data} === 0 || ${data} === null`).assign(coerced,!1).elseIf((0,codegen_1._)`${data} === "true" || ${data} === 1`).assign(coerced,!0);return;case"null":gen.elseIf((0,codegen_1._)`${data} === "" || ${data} === 0 || ${data} === false`),gen.assign(coerced,null);return;case"array":gen.elseIf(
+(0,codegen_1._)`${dataType2} === "string" || ${dataType2} === "number"
+              || ${dataType2} === "boolean" || ${data} === null`).assign(coerced,(0,codegen_1._)`[${data}]`)}}}function assignParentData({gen,parentData,parentDataProperty},expr){gen.if((0,codegen_1._)`${parentData} !== undefined`,()=>gen.assign((0,codegen_1._)`${parentData}[${parentDataProperty}]`,expr))}function checkDataType(dataType2,data,strictNums,correct=DataType.Correct){const EQ=correct===DataType.Correct?codegen_1.operators.EQ:codegen_1.operators.NEQ;let cond;switch(dataType2){case"nul\
+l":return(0,codegen_1._)`${data} ${EQ} null`;case"array":cond=(0,codegen_1._)`Array.isArray(${data})`;break;case"object":cond=(0,codegen_1._)`${data} && typeof ${data} == "object" && !Array.isArray(${data})`;break;case"integer":cond=numCond((0,codegen_1._)`!(${data} % 1) && !isNaN(${data})`);break;case"number":cond=numCond();break;default:return(0,codegen_1._)`typeof ${data} ${EQ} ${dataType2}`}return correct===DataType.Correct?cond:(0,codegen_1.not)(cond);function numCond(_cond=codegen_1.nil){return(0,codegen_1.
+and)((0,codegen_1._)`typeof ${data} == "number"`,_cond,strictNums?(0,codegen_1._)`isFinite(${data})`:codegen_1.nil)}}dataType$1.checkDataType=checkDataType;function checkDataTypes(dataTypes,data,strictNums,correct){if(dataTypes.length===1)return checkDataType(dataTypes[0],data,strictNums,correct);let cond;const types2=(0,util_1.toHash)(dataTypes);if(types2.array&&types2.object){const notObj=(0,codegen_1._)`typeof ${data} != "object"`;cond=types2.null?notObj:(0,codegen_1._)`!${data} || ${notObj}`,
+delete types2.null,delete types2.array,delete types2.object}else cond=codegen_1.nil;types2.number&&delete types2.integer;for(const t in types2)cond=(0,codegen_1.and)(cond,checkDataType(t,data,strictNums,correct));return cond}dataType$1.checkDataTypes=checkDataTypes;const typeError={message:({schema})=>`must be ${schema}`,params:({schema,schemaValue})=>typeof schema=="string"?(0,codegen_1._)`{type: ${schema}}`:(0,codegen_1._)`{type: ${schemaValue}}`};function reportTypeError(it){const cxt=getTypeErrorContext(
+it);(0,errors_1.reportError)(cxt,typeError)}dataType$1.reportTypeError=reportTypeError;function getTypeErrorContext(it){const{gen,data,schema}=it,schemaCode=(0,util_1.schemaRefOrVal)(it,schema,"type");return{gen,keyword:"type",data,schema:schema.type,schemaCode,schemaValue:schemaCode,parentSchema:schema,params:{},it}}return dataType$1}var defaults$1={},hasRequiredDefaults$1;function requireDefaults$1(){if(hasRequiredDefaults$1)return defaults$1;hasRequiredDefaults$1=1,Object.defineProperty(defaults$1,
+"__esModule",{value:!0}),defaults$1.assignDefaults=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1();function assignDefaults(it,ty){const{properties:properties2,items:items2}=it.schema;if(ty==="object"&&properties2)for(const key2 in properties2)assignDefault(it,key2,properties2[key2].default);else ty==="array"&&Array.isArray(items2)&&items2.forEach((sch,i)=>assignDefault(it,i,sch.default))}defaults$1.assignDefaults=assignDefaults;function assignDefault(it,prop2,defaultValue){const{
+gen,compositeRule,data,opts}=it;if(defaultValue===void 0)return;const childData=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(prop2)}`;if(compositeRule){(0,util_1.checkStrictMode)(it,`default is ignored for: ${childData}`);return}let condition=(0,codegen_1._)`${childData} === undefined`;opts.useDefaults==="empty"&&(condition=(0,codegen_1._)`${condition} || ${childData} === null || ${childData} === ""`),gen.if(condition,(0,codegen_1._)`${childData} = ${(0,codegen_1.stringify)(defaultValue)}`)}
+return defaults$1}var keyword$1={},code$5={},hasRequiredCode$2;function requireCode$2(){if(hasRequiredCode$2)return code$5;hasRequiredCode$2=1,Object.defineProperty(code$5,"__esModule",{value:!0}),code$5.validateUnion=code$5.validateArray=code$5.usePattern=code$5.callValidateCode=code$5.schemaProperties=code$5.allSchemaProperties=code$5.noPropertyInData=code$5.propertyInData=code$5.isOwnProperty=code$5.hasPropFunc=code$5.reportMissingProp=code$5.checkMissingProp=code$5.checkReportMissingProp=void 0;
+const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),names_1=requireNames$1(),util_2=requireUtil$1();function checkReportMissingProp(cxt,prop2){const{gen,data,it}=cxt;gen.if(noPropertyInData(gen,data,prop2,it.opts.ownProperties),()=>{cxt.setParams({missingProperty:(0,codegen_1._)`${prop2}`},!0),cxt.error()})}code$5.checkReportMissingProp=checkReportMissingProp;function checkMissingProp({gen,data,it:{opts}},properties2,missing){return(0,codegen_1.or)(...properties2.map(prop2=>(0,codegen_1.and)(
+noPropertyInData(gen,data,prop2,opts.ownProperties),(0,codegen_1._)`${missing} = ${prop2}`)))}code$5.checkMissingProp=checkMissingProp;function reportMissingProp(cxt,missing){cxt.setParams({missingProperty:missing},!0),cxt.error()}code$5.reportMissingProp=reportMissingProp;function hasPropFunc(gen){return gen.scopeValue("func",{ref:Object.prototype.hasOwnProperty,code:(0,codegen_1._)`Object.prototype.hasOwnProperty`})}code$5.hasPropFunc=hasPropFunc;function isOwnProperty(gen,data,property){return(0,codegen_1.
+_)`${hasPropFunc(gen)}.call(${data}, ${property})`}code$5.isOwnProperty=isOwnProperty;function propertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} !== undefined`;return ownProperties?(0,codegen_1._)`${cond} && ${isOwnProperty(gen,data,property)}`:cond}code$5.propertyInData=propertyInData;function noPropertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} === undefined`;
+return ownProperties?(0,codegen_1.or)(cond,(0,codegen_1.not)(isOwnProperty(gen,data,property))):cond}code$5.noPropertyInData=noPropertyInData;function allSchemaProperties(schemaMap){return schemaMap?Object.keys(schemaMap).filter(p2=>p2!=="__proto__"):[]}code$5.allSchemaProperties=allSchemaProperties;function schemaProperties(it,schemaMap){return allSchemaProperties(schemaMap).filter(p2=>!(0,util_1.alwaysValidSchema)(it,schemaMap[p2]))}code$5.schemaProperties=schemaProperties;function callValidateCode({
+schemaCode,data,it:{gen,topSchemaRef,schemaPath,errorPath},it},func,context,passSchema){const dataAndSchema=passSchema?(0,codegen_1._)`${schemaCode}, ${data}, ${topSchemaRef}${schemaPath}`:data,valCxt=[[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,errorPath)],[names_1.default.parentData,it.parentData],[names_1.default.parentDataProperty,it.parentDataProperty],[names_1.default.rootData,names_1.default.rootData]];it.opts.dynamicRef&&valCxt.push([names_1.default.
+dynamicAnchors,names_1.default.dynamicAnchors]);const args=(0,codegen_1._)`${dataAndSchema}, ${gen.object(...valCxt)}`;return context!==codegen_1.nil?(0,codegen_1._)`${func}.call(${context}, ${args})`:(0,codegen_1._)`${func}(${args})`}code$5.callValidateCode=callValidateCode;const newRegExp=(0,codegen_1._)`new RegExp`;function usePattern({gen,it:{opts}},pattern2){const u=opts.unicodeRegExp?"u":"",{regExp}=opts.code,rx=regExp(pattern2,u);return gen.scopeValue("pattern",{key:rx.toString(),ref:rx,code:(0,codegen_1.
+_)`${regExp.code==="new RegExp"?newRegExp:(0,util_2.useFunc)(gen,regExp)}(${pattern2}, ${u})`})}code$5.usePattern=usePattern;function validateArray(cxt){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");if(it.allErrors){const validArr=gen.let("valid",!0);return validateItems(()=>gen.assign(validArr,!1)),validArr}return gen.var(valid2,!0),validateItems(()=>gen.break()),valid2;function validateItems(notValid){const len=gen.const("len",(0,codegen_1._)`${data}.length`);gen.forRange("i",
+0,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),gen.if((0,codegen_1.not)(valid2),notValid)})}}code$5.validateArray=validateArray;function validateUnion(cxt){const{gen,schema,keyword:keyword2,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(schema.some(sch=>(0,util_1.alwaysValidSchema)(it,sch))&&!it.opts.unevaluated)return;const valid2=gen.let("valid",!1),schValid=gen.name("_valid");gen.block(()=>schema.forEach((_sch,i)=>{
+const schCxt=cxt.subschema({keyword:keyword2,schemaProp:i,compositeRule:!0},schValid);gen.assign(valid2,(0,codegen_1._)`${valid2} || ${schValid}`),cxt.mergeValidEvaluated(schCxt,schValid)||gen.if((0,codegen_1.not)(valid2))})),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0))}return code$5.validateUnion=validateUnion,code$5}var hasRequiredKeyword$1;function requireKeyword$1(){if(hasRequiredKeyword$1)return keyword$1;hasRequiredKeyword$1=1,Object.defineProperty(keyword$1,"__esModule",{value:!0}),
+keyword$1.validateKeywordUsage=keyword$1.validSchemaType=keyword$1.funcKeywordCode=keyword$1.macroKeywordCode=void 0;const codegen_1=requireCodegen$1(),names_1=requireNames$1(),code_1=requireCode$2(),errors_1=requireErrors$1();function macroKeywordCode(cxt,def){const{gen,keyword:keyword2,schema,parentSchema,it}=cxt,macroSchema=def.macro.call(it.self,schema,parentSchema,it),schemaRef=useKeyword(gen,keyword2,macroSchema);it.opts.validateSchema!==!1&&it.self.validateSchema(macroSchema,!0);const valid2=gen.
+name("valid");cxt.subschema({schema:macroSchema,schemaPath:codegen_1.nil,errSchemaPath:`${it.errSchemaPath}/${keyword2}`,topSchemaRef:schemaRef,compositeRule:!0},valid2),cxt.pass(valid2,()=>cxt.error(!0))}keyword$1.macroKeywordCode=macroKeywordCode;function funcKeywordCode(cxt,def){var _a2;const{gen,keyword:keyword2,schema,parentSchema,$data,it}=cxt;checkAsyncKeyword(it,def);const validate2=!$data&&def.compile?def.compile.call(it.self,schema,parentSchema,it):def.validate,validateRef=useKeyword(gen,
+keyword2,validate2),valid2=gen.let("valid");cxt.block$data(valid2,validateKeyword),cxt.ok((_a2=def.valid)!==null&&_a2!==void 0?_a2:valid2);function validateKeyword(){if(def.errors===!1)assignValid(),def.modifying&&modifyData(cxt),reportErrs(()=>cxt.error());else{const ruleErrs=def.async?validateAsync():validateSync();def.modifying&&modifyData(cxt),reportErrs(()=>addErrs(cxt,ruleErrs))}}function validateAsync(){const ruleErrs=gen.let("ruleErrs",null);return gen.try(()=>assignValid((0,codegen_1._)`await `),
+e=>gen.assign(valid2,!1).if((0,codegen_1._)`${e} instanceof ${it.ValidationError}`,()=>gen.assign(ruleErrs,(0,codegen_1._)`${e}.errors`),()=>gen.throw(e))),ruleErrs}function validateSync(){const validateErrs=(0,codegen_1._)`${validateRef}.errors`;return gen.assign(validateErrs,null),assignValid(codegen_1.nil),validateErrs}function assignValid(_await=def.async?(0,codegen_1._)`await `:codegen_1.nil){const passCxt=it.opts.passContext?names_1.default.this:names_1.default.self,passSchema=!("compile"in
+def&&!$data||def.schema===!1);gen.assign(valid2,(0,codegen_1._)`${_await}${(0,code_1.callValidateCode)(cxt,validateRef,passCxt,passSchema)}`,def.modifying)}function reportErrs(errors2){var _a3;gen.if((0,codegen_1.not)((_a3=def.valid)!==null&&_a3!==void 0?_a3:valid2),errors2)}}keyword$1.funcKeywordCode=funcKeywordCode;function modifyData(cxt){const{gen,data,it}=cxt;gen.if(it.parentData,()=>gen.assign(data,(0,codegen_1._)`${it.parentData}[${it.parentDataProperty}]`))}function addErrs(cxt,errs){const{
+gen}=cxt;gen.if((0,codegen_1._)`Array.isArray(${errs})`,()=>{gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`).assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`),(0,errors_1.extendErrors)(cxt)},()=>cxt.error())}function checkAsyncKeyword({schemaEnv},def){if(def.async&&!schemaEnv.$async)throw new Error("async keyword in sync schema")}function useKeyword(gen,keyword2,result){
+if(result===void 0)throw new Error(`keyword "${keyword2}" failed to compile`);return gen.scopeValue("keyword",typeof result=="function"?{ref:result}:{ref:result,code:(0,codegen_1.stringify)(result)})}function validSchemaType(schema,schemaType,allowUndefined=!1){return!schemaType.length||schemaType.some(st=>st==="array"?Array.isArray(schema):st==="object"?schema&&typeof schema=="object"&&!Array.isArray(schema):typeof schema==st||allowUndefined&&typeof schema>"u")}keyword$1.validSchemaType=validSchemaType;
+function validateKeywordUsage({schema,opts,self:self2,errSchemaPath},def,keyword2){if(Array.isArray(def.keyword)?!def.keyword.includes(keyword2):def.keyword!==keyword2)throw new Error("ajv implementation error");const deps=def.dependencies;if(deps?.some(kwd=>!Object.prototype.hasOwnProperty.call(schema,kwd)))throw new Error(`parent schema must have dependencies of ${keyword2}: ${deps.join(",")}`);if(def.validateSchema&&!def.validateSchema(schema[keyword2])){const msg=`keyword "${keyword2}" value\
+ is invalid at path "${errSchemaPath}": `+self2.errorsText(def.validateSchema.errors);if(opts.validateSchema==="log")self2.logger.error(msg);else throw new Error(msg)}}return keyword$1.validateKeywordUsage=validateKeywordUsage,keyword$1}var subschema$1={},hasRequiredSubschema$1;function requireSubschema$1(){if(hasRequiredSubschema$1)return subschema$1;hasRequiredSubschema$1=1,Object.defineProperty(subschema$1,"__esModule",{value:!0}),subschema$1.extendSubschemaMode=subschema$1.extendSubschemaData=
+subschema$1.getSubschema=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1();function getSubschema(it,{keyword:keyword2,schemaProp,schema,schemaPath,errSchemaPath,topSchemaRef}){if(keyword2!==void 0&&schema!==void 0)throw new Error('both "keyword" and "schema" passed, only one allowed');if(keyword2!==void 0){const sch=it.schema[keyword2];return schemaProp===void 0?{schema:sch,schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}`,errSchemaPath:`${it.errSchemaPath}\
+/${keyword2}`}:{schema:sch[schemaProp],schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}${(0,codegen_1.getProperty)(schemaProp)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}/${(0,util_1.escapeFragment)(schemaProp)}`}}if(schema!==void 0){if(schemaPath===void 0||errSchemaPath===void 0||topSchemaRef===void 0)throw new Error('"schemaPath", "errSchemaPath" and "topSchemaRef" are required with "schema"');return{schema,schemaPath,topSchemaRef,errSchemaPath}}throw new Error(
+'either "keyword" or "schema" must be passed')}subschema$1.getSubschema=getSubschema;function extendSubschemaData(subschema2,it,{dataProp,dataPropType:dpType,data,dataTypes,propertyName}){if(data!==void 0&&dataProp!==void 0)throw new Error('both "data" and "dataProp" passed, only one allowed');const{gen}=it;if(dataProp!==void 0){const{errorPath,dataPathArr,opts}=it,nextData=gen.let("data",(0,codegen_1._)`${it.data}${(0,codegen_1.getProperty)(dataProp)}`,!0);dataContextProps(nextData),subschema2.
+errorPath=(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(dataProp,dpType,opts.jsPropertySyntax)}`,subschema2.parentDataProperty=(0,codegen_1._)`${dataProp}`,subschema2.dataPathArr=[...dataPathArr,subschema2.parentDataProperty]}if(data!==void 0){const nextData=data instanceof codegen_1.Name?data:gen.let("data",data,!0);dataContextProps(nextData),propertyName!==void 0&&(subschema2.propertyName=propertyName)}dataTypes&&(subschema2.dataTypes=dataTypes);function dataContextProps(_nextData){subschema2.
+data=_nextData,subschema2.dataLevel=it.dataLevel+1,subschema2.dataTypes=[],it.definedProperties=new Set,subschema2.parentData=it.data,subschema2.dataNames=[...it.dataNames,_nextData]}}subschema$1.extendSubschemaData=extendSubschemaData;function extendSubschemaMode(subschema2,{jtdDiscriminator,jtdMetadata,compositeRule,createErrors,allErrors}){compositeRule!==void 0&&(subschema2.compositeRule=compositeRule),createErrors!==void 0&&(subschema2.createErrors=createErrors),allErrors!==void 0&&(subschema2.
+allErrors=allErrors),subschema2.jtdDiscriminator=jtdDiscriminator,subschema2.jtdMetadata=jtdMetadata}return subschema$1.extendSubschemaMode=extendSubschemaMode,subschema$1}var resolve$1={},fastDeepEqual,hasRequiredFastDeepEqual;function requireFastDeepEqual(){return hasRequiredFastDeepEqual||(hasRequiredFastDeepEqual=1,fastDeepEqual=function equal2(a,b){if(a===b)return!0;if(a&&b&&typeof a=="object"&&typeof b=="object"){if(a.constructor!==b.constructor)return!1;var length,i,keys2;if(Array.isArray(
+a)){if(length=a.length,length!=b.length)return!1;for(i=length;i--!==0;)if(!equal2(a[i],b[i]))return!1;return!0}if(a.constructor===RegExp)return a.source===b.source&&a.flags===b.flags;if(a.valueOf!==Object.prototype.valueOf)return a.valueOf()===b.valueOf();if(a.toString!==Object.prototype.toString)return a.toString()===b.toString();if(keys2=Object.keys(a),length=keys2.length,length!==Object.keys(b).length)return!1;for(i=length;i--!==0;)if(!Object.prototype.hasOwnProperty.call(b,keys2[i]))return!1;
+for(i=length;i--!==0;){var key2=keys2[i];if(!equal2(a[key2],b[key2]))return!1}return!0}return a!==a&&b!==b}),fastDeepEqual}var jsonSchemaTraverse$1={exports:{}},hasRequiredJsonSchemaTraverse$1;function requireJsonSchemaTraverse$1(){if(hasRequiredJsonSchemaTraverse$1)return jsonSchemaTraverse$1.exports;hasRequiredJsonSchemaTraverse$1=1;var traverse=jsonSchemaTraverse$1.exports=function(schema,opts,cb){typeof opts=="function"&&(cb=opts,opts={}),cb=opts.cb||cb;var pre=typeof cb=="function"?cb:cb.pre||
+function(){},post=cb.post||function(){};_traverse(opts,pre,post,schema,"",schema)};traverse.keywords={additionalItems:!0,items:!0,contains:!0,additionalProperties:!0,propertyNames:!0,not:!0,if:!0,then:!0,else:!0},traverse.arrayKeywords={items:!0,allOf:!0,anyOf:!0,oneOf:!0},traverse.propsKeywords={$defs:!0,definitions:!0,properties:!0,patternProperties:!0,dependencies:!0},traverse.skipKeywords={default:!0,enum:!0,const:!0,required:!0,maximum:!0,minimum:!0,exclusiveMaximum:!0,exclusiveMinimum:!0,multipleOf:!0,
+maxLength:!0,minLength:!0,pattern:!0,format:!0,maxItems:!0,minItems:!0,uniqueItems:!0,maxProperties:!0,minProperties:!0};function _traverse(opts,pre,post,schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex){if(schema&&typeof schema=="object"&&!Array.isArray(schema)){pre(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex);for(var key2 in schema){var sch=schema[key2];if(Array.isArray(sch)){if(key2 in traverse.arrayKeywords)for(var i=0;i<sch.length;i++)
+_traverse(opts,pre,post,sch[i],jsonPtr+"/"+key2+"/"+i,rootSchema,jsonPtr,key2,schema,i)}else if(key2 in traverse.propsKeywords){if(sch&&typeof sch=="object")for(var prop2 in sch)_traverse(opts,pre,post,sch[prop2],jsonPtr+"/"+key2+"/"+escapeJsonPtr(prop2),rootSchema,jsonPtr,key2,schema,prop2)}else(key2 in traverse.keywords||opts.allKeys&&!(key2 in traverse.skipKeywords))&&_traverse(opts,pre,post,sch,jsonPtr+"/"+key2,rootSchema,jsonPtr,key2,schema)}post(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,
+parentSchema,keyIndex)}}function escapeJsonPtr(str){return str.replace(/~/g,"~0").replace(/\//g,"~1")}return jsonSchemaTraverse$1.exports}var hasRequiredResolve$1;function requireResolve$1(){if(hasRequiredResolve$1)return resolve$1;hasRequiredResolve$1=1,Object.defineProperty(resolve$1,"__esModule",{value:!0}),resolve$1.getSchemaRefs=resolve$1.resolveUrl=resolve$1.normalizeId=resolve$1._getFullPath=resolve$1.getFullPath=resolve$1.inlineRef=void 0;const util_1=requireUtil$1(),equal2=requireFastDeepEqual(),
+traverse=requireJsonSchemaTraverse$1(),SIMPLE_INLINED=new Set(["type","format","pattern","maxLength","minLength","maxProperties","minProperties","maxItems","minItems","maximum","minimum","uniqueItems","multipleOf","required","enum","const"]);function inlineRef(schema,limit2=!0){return typeof schema=="boolean"?!0:limit2===!0?!hasRef(schema):limit2?countKeys(schema)<=limit2:!1}resolve$1.inlineRef=inlineRef;const REF_KEYWORDS=new Set(["$ref","$recursiveRef","$recursiveAnchor","$dynamicRef","$dynami\
+cAnchor"]);function hasRef(schema){for(const key2 in schema){if(REF_KEYWORDS.has(key2))return!0;const sch=schema[key2];if(Array.isArray(sch)&&sch.some(hasRef)||typeof sch=="object"&&hasRef(sch))return!0}return!1}function countKeys(schema){let count=0;for(const key2 in schema){if(key2==="$ref")return 1/0;if(count++,!SIMPLE_INLINED.has(key2)&&(typeof schema[key2]=="object"&&(0,util_1.eachItem)(schema[key2],sch=>count+=countKeys(sch)),count===1/0))return 1/0}return count}function getFullPath(resolver2,id2="",normalize2){
+normalize2!==!1&&(id2=normalizeId(id2));const p2=resolver2.parse(id2);return _getFullPath(resolver2,p2)}resolve$1.getFullPath=getFullPath;function _getFullPath(resolver2,p2){return resolver2.serialize(p2).split("#")[0]+"#"}resolve$1._getFullPath=_getFullPath;const TRAILING_SLASH_HASH=/#\/?$/;function normalizeId(id2){return id2?id2.replace(TRAILING_SLASH_HASH,""):""}resolve$1.normalizeId=normalizeId;function resolveUrl(resolver2,baseId,id2){return id2=normalizeId(id2),resolver2.resolve(baseId,id2)}
+resolve$1.resolveUrl=resolveUrl;const ANCHOR=/^[a-z_][-a-z0-9._]*$/i;function getSchemaRefs(schema,baseId){if(typeof schema=="boolean")return{};const{schemaId,uriResolver}=this.opts,schId=normalizeId(schema[schemaId]||baseId),baseIds={"":schId},pathPrefix=getFullPath(uriResolver,schId,!1),localRefs={},schemaRefs=new Set;return traverse(schema,{allKeys:!0},(sch,jsonPtr,_,parentJsonPtr)=>{if(parentJsonPtr===void 0)return;const fullPath=pathPrefix+jsonPtr;let innerBaseId=baseIds[parentJsonPtr];typeof sch[schemaId]==
+"string"&&(innerBaseId=addRef.call(this,sch[schemaId])),addAnchor.call(this,sch.$anchor),addAnchor.call(this,sch.$dynamicAnchor),baseIds[jsonPtr]=innerBaseId;function addRef(ref2){const _resolve=this.opts.uriResolver.resolve;if(ref2=normalizeId(innerBaseId?_resolve(innerBaseId,ref2):ref2),schemaRefs.has(ref2))throw ambiguos(ref2);schemaRefs.add(ref2);let schOrRef=this.refs[ref2];return typeof schOrRef=="string"&&(schOrRef=this.refs[schOrRef]),typeof schOrRef=="object"?checkAmbiguosRef(sch,schOrRef.
+schema,ref2):ref2!==normalizeId(fullPath)&&(ref2[0]==="#"?(checkAmbiguosRef(sch,localRefs[ref2],ref2),localRefs[ref2]=sch):this.refs[ref2]=fullPath),ref2}function addAnchor(anchor){if(typeof anchor=="string"){if(!ANCHOR.test(anchor))throw new Error(`invalid anchor "${anchor}"`);addRef.call(this,`#${anchor}`)}}}),localRefs;function checkAmbiguosRef(sch1,sch2,ref2){if(sch2!==void 0&&!equal2(sch1,sch2))throw ambiguos(ref2)}function ambiguos(ref2){return new Error(`reference "${ref2}" resolves to mo\
+re than one schema`)}}return resolve$1.getSchemaRefs=getSchemaRefs,resolve$1}var hasRequiredValidate$1;function requireValidate$1(){if(hasRequiredValidate$1)return validate$1;hasRequiredValidate$1=1,Object.defineProperty(validate$1,"__esModule",{value:!0}),validate$1.getData=validate$1.KeywordCxt=validate$1.validateFunctionCode=void 0;const boolSchema_1=requireBoolSchema$1(),dataType_1=requireDataType$1(),applicability_1=requireApplicability$1(),dataType_2=requireDataType$1(),defaults_1=requireDefaults$1(),
+keyword_1=requireKeyword$1(),subschema_1=requireSubschema$1(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),resolve_1=requireResolve$1(),util_1=requireUtil$1(),errors_1=requireErrors$1();function validateFunctionCode(it){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){topSchemaObjCode(it);return}validateFunction(it,()=>(0,boolSchema_1.topBoolOrEmptySchema)(it))}validate$1.validateFunctionCode=validateFunctionCode;function validateFunction({gen,validateName,schema,schemaEnv,
+opts},body2){opts.code.es5?gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${names_1.default.valCxt}`,schemaEnv.$async,()=>{gen.code((0,codegen_1._)`"use strict"; ${funcSourceUrl(schema,opts)}`),destructureValCxtES5(gen,opts),gen.code(body2)}):gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${destructureValCxt(opts)}`,schemaEnv.$async,()=>gen.code(funcSourceUrl(schema,opts)).code(body2))}function destructureValCxt(opts){return(0,codegen_1._)`{${names_1.default.instancePath}="", ${names_1.
+default.parentData}, ${names_1.default.parentDataProperty}, ${names_1.default.rootData}=${names_1.default.data}${opts.dynamicRef?(0,codegen_1._)`, ${names_1.default.dynamicAnchors}={}`:codegen_1.nil}}={}`}function destructureValCxtES5(gen,opts){gen.if(names_1.default.valCxt,()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.instancePath}`),gen.var(names_1.default.parentData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentData}`),
+gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentDataProperty}`),gen.var(names_1.default.rootData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.rootData}`),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.dynamicAnchors}`)},()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`""`),gen.var(names_1.default.parentData,(0,codegen_1._)`undefined`),gen.var(names_1.
+default.parentDataProperty,(0,codegen_1._)`undefined`),gen.var(names_1.default.rootData,names_1.default.data),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`{}`)})}function topSchemaObjCode(it){const{schema,opts,gen}=it;validateFunction(it,()=>{opts.$comment&&schema.$comment&&commentKeyword(it),checkNoDefault(it),gen.let(names_1.default.vErrors,null),gen.let(names_1.default.errors,0),opts.unevaluated&&resetEvaluated(it),typeAndKeywords(it),returnResults(it)})}function resetEvaluated(it){
+const{gen,validateName}=it;it.evaluated=gen.const("evaluated",(0,codegen_1._)`${validateName}.evaluated`),gen.if((0,codegen_1._)`${it.evaluated}.dynamicProps`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.props`,(0,codegen_1._)`undefined`)),gen.if((0,codegen_1._)`${it.evaluated}.dynamicItems`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.items`,(0,codegen_1._)`undefined`))}function funcSourceUrl(schema,opts){const schId=typeof schema=="object"&&schema[opts.schemaId];return schId&&(opts.code.source||
+opts.code.process)?(0,codegen_1._)`/*# sourceURL=${schId} */`:codegen_1.nil}function subschemaCode(it,valid2){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){subSchemaObjCode(it,valid2);return}(0,boolSchema_1.boolOrEmptySchema)(it,valid2)}function schemaCxtHasRules({schema,self:self2}){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(self2.RULES.all[key2])return!0;return!1}function isSchemaObj(it){return typeof it.schema!="boolean"}function subSchemaObjCode(it,valid2){
+const{schema,gen,opts}=it;opts.$comment&&schema.$comment&&commentKeyword(it),updateContext(it),checkAsyncSchema(it);const errsCount=gen.const("_errs",names_1.default.errors);typeAndKeywords(it,errsCount),gen.var(valid2,(0,codegen_1._)`${errsCount} === ${names_1.default.errors}`)}function checkKeywords(it){(0,util_1.checkUnknownRules)(it),checkRefsAndKeywords(it)}function typeAndKeywords(it,errsCount){if(it.opts.jtd)return schemaKeywords(it,[],!1,errsCount);const types2=(0,dataType_1.getSchemaTypes)(
+it.schema),checkedTypes=(0,dataType_1.coerceAndCheckDataType)(it,types2);schemaKeywords(it,types2,!checkedTypes,errsCount)}function checkRefsAndKeywords(it){const{schema,errSchemaPath,opts,self:self2}=it;schema.$ref&&opts.ignoreKeywordsWithRef&&(0,util_1.schemaHasRulesButRef)(schema,self2.RULES)&&self2.logger.warn(`$ref: keywords ignored in schema at path "${errSchemaPath}"`)}function checkNoDefault(it){const{schema,opts}=it;schema.default!==void 0&&opts.useDefaults&&opts.strictSchema&&(0,util_1.
+checkStrictMode)(it,"default is ignored in the schema root")}function updateContext(it){const schId=it.schema[it.opts.schemaId];schId&&(it.baseId=(0,resolve_1.resolveUrl)(it.opts.uriResolver,it.baseId,schId))}function checkAsyncSchema(it){if(it.schema.$async&&!it.schemaEnv.$async)throw new Error("async schema in sync schema")}function commentKeyword({gen,schemaEnv,schema,errSchemaPath,opts}){const msg=schema.$comment;if(opts.$comment===!0)gen.code((0,codegen_1._)`${names_1.default.self}.logger.log(${msg})`);else if(typeof opts.
+$comment=="function"){const schemaPath=(0,codegen_1.str)`${errSchemaPath}/$comment`,rootName=gen.scopeValue("root",{ref:schemaEnv.root});gen.code((0,codegen_1._)`${names_1.default.self}.opts.$comment(${msg}, ${schemaPath}, ${rootName}.schema)`)}}function returnResults(it){const{gen,schemaEnv,validateName,ValidationError,opts}=it;schemaEnv.$async?gen.if((0,codegen_1._)`${names_1.default.errors} === 0`,()=>gen.return(names_1.default.data),()=>gen.throw((0,codegen_1._)`new ${ValidationError}(${names_1.
+default.vErrors})`)):(gen.assign((0,codegen_1._)`${validateName}.errors`,names_1.default.vErrors),opts.unevaluated&&assignEvaluated(it),gen.return((0,codegen_1._)`${names_1.default.errors} === 0`))}function assignEvaluated({gen,evaluated,props,items:items2}){props instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.props`,props),items2 instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.items`,items2)}function schemaKeywords(it,types2,typeErrors,errsCount){const{gen,
+schema,data,allErrors,opts,self:self2}=it,{RULES}=self2;if(schema.$ref&&(opts.ignoreKeywordsWithRef||!(0,util_1.schemaHasRulesButRef)(schema,RULES))){gen.block(()=>keywordCode(it,"$ref",RULES.all.$ref.definition));return}opts.jtd||checkStrictTypes(it,types2),gen.block(()=>{for(const group of RULES.rules)groupKeywords(group);groupKeywords(RULES.post)});function groupKeywords(group){(0,applicability_1.shouldUseGroup)(schema,group)&&(group.type?(gen.if((0,dataType_2.checkDataType)(group.type,data,opts.
+strictNumbers)),iterateKeywords(it,group),types2.length===1&&types2[0]===group.type&&typeErrors&&(gen.else(),(0,dataType_2.reportTypeError)(it)),gen.endIf()):iterateKeywords(it,group),allErrors||gen.if((0,codegen_1._)`${names_1.default.errors} === ${errsCount||0}`))}}function iterateKeywords(it,group){const{gen,schema,opts:{useDefaults}}=it;useDefaults&&(0,defaults_1.assignDefaults)(it,group.type),gen.block(()=>{for(const rule of group.rules)(0,applicability_1.shouldUseRule)(schema,rule)&&keywordCode(
+it,rule.keyword,rule.definition,group.type)})}function checkStrictTypes(it,types2){it.schemaEnv.meta||!it.opts.strictTypes||(checkContextTypes(it,types2),it.opts.allowUnionTypes||checkMultipleTypes(it,types2),checkKeywordTypes(it,it.dataTypes))}function checkContextTypes(it,types2){if(types2.length){if(!it.dataTypes.length){it.dataTypes=types2;return}types2.forEach(t=>{includesType(it.dataTypes,t)||strictTypesError(it,`type "${t}" not allowed by context "${it.dataTypes.join(",")}"`)}),narrowSchemaTypes(
+it,types2)}}function checkMultipleTypes(it,ts){ts.length>1&&!(ts.length===2&&ts.includes("null"))&&strictTypesError(it,"use allowUnionTypes to allow union type keyword")}function checkKeywordTypes(it,ts){const rules2=it.self.RULES.all;for(const keyword2 in rules2){const rule=rules2[keyword2];if(typeof rule=="object"&&(0,applicability_1.shouldUseRule)(it.schema,rule)){const{type:type2}=rule.definition;type2.length&&!type2.some(t=>hasApplicableType(ts,t))&&strictTypesError(it,`missing type "${type2.
+join(",")}" for keyword "${keyword2}"`)}}}function hasApplicableType(schTs,kwdT){return schTs.includes(kwdT)||kwdT==="number"&&schTs.includes("integer")}function includesType(ts,t){return ts.includes(t)||t==="integer"&&ts.includes("number")}function narrowSchemaTypes(it,withTypes){const ts=[];for(const t of it.dataTypes)includesType(withTypes,t)?ts.push(t):withTypes.includes("integer")&&t==="number"&&ts.push("integer");it.dataTypes=ts}function strictTypesError(it,msg){const schemaPath=it.schemaEnv.
+baseId+it.errSchemaPath;msg+=` at "${schemaPath}" (strictTypes)`,(0,util_1.checkStrictMode)(it,msg,it.opts.strictTypes)}class KeywordCxt{constructor(it,def,keyword2){if((0,keyword_1.validateKeywordUsage)(it,def,keyword2),this.gen=it.gen,this.allErrors=it.allErrors,this.keyword=keyword2,this.data=it.data,this.schema=it.schema[keyword2],this.$data=def.$data&&it.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,util_1.schemaRefOrVal)(it,this.schema,keyword2,this.$data),this.schemaType=
+def.schemaType,this.parentSchema=it.schema,this.params={},this.it=it,this.def=def,this.$data)this.schemaCode=it.gen.const("vSchema",getData(this.$data,it));else if(this.schemaCode=this.schemaValue,!(0,keyword_1.validSchemaType)(this.schema,def.schemaType,def.allowUndefined))throw new Error(`${keyword2} value must be ${JSON.stringify(def.schemaType)}`);("code"in def?def.trackErrors:def.errors!==!1)&&(this.errsCount=it.gen.const("_errs",names_1.default.errors))}result(condition,successAction,failAction){
+this.failResult((0,codegen_1.not)(condition),successAction,failAction)}failResult(condition,successAction,failAction){this.gen.if(condition),failAction?failAction():this.error(),successAction?(this.gen.else(),successAction(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(condition,failAction){this.failResult((0,codegen_1.not)(condition),void 0,failAction)}fail(condition){if(condition===void 0){this.error(),this.allErrors||this.gen.if(!1);return}this.gen.if(
+condition),this.error(),this.allErrors?this.gen.endIf():this.gen.else()}fail$data(condition){if(!this.$data)return this.fail(condition);const{schemaCode}=this;this.fail((0,codegen_1._)`${schemaCode} !== undefined && (${(0,codegen_1.or)(this.invalid$data(),condition)})`)}error(append2,errorParams,errorPaths){if(errorParams){this.setParams(errorParams),this._error(append2,errorPaths),this.setParams({});return}this._error(append2,errorPaths)}_error(append2,errorPaths){(append2?errors_1.reportExtraError:
+errors_1.reportError)(this,this.def.error,errorPaths)}$dataError(){(0,errors_1.reportError)(this,this.def.$dataError||errors_1.keyword$DataError)}reset(){if(this.errsCount===void 0)throw new Error('add "trackErrors" to keyword definition');(0,errors_1.resetErrorsCount)(this.gen,this.errsCount)}ok(cond){this.allErrors||this.gen.if(cond)}setParams(obj,assign){assign?Object.assign(this.params,obj):this.params=obj}block$data(valid2,codeBlock,$dataValid=codegen_1.nil){this.gen.block(()=>{this.check$data(
+valid2,$dataValid),codeBlock()})}check$data(valid2=codegen_1.nil,$dataValid=codegen_1.nil){if(!this.$data)return;const{gen,schemaCode,schemaType,def}=this;gen.if((0,codegen_1.or)((0,codegen_1._)`${schemaCode} === undefined`,$dataValid)),valid2!==codegen_1.nil&&gen.assign(valid2,!0),(schemaType.length||def.validateSchema)&&(gen.elseIf(this.invalid$data()),this.$dataError(),valid2!==codegen_1.nil&&gen.assign(valid2,!1)),gen.else()}invalid$data(){const{gen,schemaCode,schemaType,def,it}=this;return(0,codegen_1.
+or)(wrong$DataType(),invalid$DataSchema());function wrong$DataType(){if(schemaType.length){if(!(schemaCode instanceof codegen_1.Name))throw new Error("ajv implementation error");const st=Array.isArray(schemaType)?schemaType:[schemaType];return(0,codegen_1._)`${(0,dataType_2.checkDataTypes)(st,schemaCode,it.opts.strictNumbers,dataType_2.DataType.Wrong)}`}return codegen_1.nil}function invalid$DataSchema(){if(def.validateSchema){const validateSchemaRef=gen.scopeValue("validate$data",{ref:def.validateSchema});
+return(0,codegen_1._)`!${validateSchemaRef}(${schemaCode})`}return codegen_1.nil}}subschema(appl,valid2){const subschema2=(0,subschema_1.getSubschema)(this.it,appl);(0,subschema_1.extendSubschemaData)(subschema2,this.it,appl),(0,subschema_1.extendSubschemaMode)(subschema2,appl);const nextContext={...this.it,...subschema2,items:void 0,props:void 0};return subschemaCode(nextContext,valid2),nextContext}mergeEvaluated(schemaCxt,toName){const{it,gen}=this;it.opts.unevaluated&&(it.props!==!0&&schemaCxt.
+props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schemaCxt.props,it.props,toName)),it.items!==!0&&schemaCxt.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schemaCxt.items,it.items,toName)))}mergeValidEvaluated(schemaCxt,valid2){const{it,gen}=this;if(it.opts.unevaluated&&(it.props!==!0||it.items!==!0))return gen.if(valid2,()=>this.mergeEvaluated(schemaCxt,codegen_1.Name)),!0}}validate$1.KeywordCxt=KeywordCxt;function keywordCode(it,keyword2,def,ruleType){const cxt=new KeywordCxt(
+it,def,keyword2);"code"in def?def.code(cxt,ruleType):cxt.$data&&def.validate?(0,keyword_1.funcKeywordCode)(cxt,def):"macro"in def?(0,keyword_1.macroKeywordCode)(cxt,def):(def.compile||def.validate)&&(0,keyword_1.funcKeywordCode)(cxt,def)}const JSON_POINTER=/^\/(?:[^~]|~0|~1)*$/,RELATIVE_JSON_POINTER=/^([0-9]+)(#|\/(?:[^~]|~0|~1)*)?$/;function getData($data,{dataLevel,dataNames,dataPathArr}){let jsonPointer,data;if($data==="")return names_1.default.rootData;if($data[0]==="/"){if(!JSON_POINTER.test(
+$data))throw new Error(`Invalid JSON-pointer: ${$data}`);jsonPointer=$data,data=names_1.default.rootData}else{const matches2=RELATIVE_JSON_POINTER.exec($data);if(!matches2)throw new Error(`Invalid JSON-pointer: ${$data}`);const up=+matches2[1];if(jsonPointer=matches2[2],jsonPointer==="#"){if(up>=dataLevel)throw new Error(errorMsg("property/index",up));return dataPathArr[dataLevel-up]}if(up>dataLevel)throw new Error(errorMsg("data",up));if(data=dataNames[dataLevel-up],!jsonPointer)return data}let expr=data;
+const segments=jsonPointer.split("/");for(const segment of segments)segment&&(data=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)((0,util_1.unescapeJsonPointer)(segment))}`,expr=(0,codegen_1._)`${expr} && ${data}`);return expr;function errorMsg(pointerType,up){return`Cannot access ${pointerType} ${up} levels up, current level is ${dataLevel}`}}return validate$1.getData=getData,validate$1}var validation_error$1={},hasRequiredValidation_error$1;function requireValidation_error$1(){if(hasRequiredValidation_error$1)
+return validation_error$1;hasRequiredValidation_error$1=1,Object.defineProperty(validation_error$1,"__esModule",{value:!0});class ValidationError extends Error{constructor(errors2){super("validation failed"),this.errors=errors2,this.ajv=this.validation=!0}}return validation_error$1.default=ValidationError,validation_error$1}var ref_error$1={},hasRequiredRef_error$1;function requireRef_error$1(){if(hasRequiredRef_error$1)return ref_error$1;hasRequiredRef_error$1=1,Object.defineProperty(ref_error$1,
+"__esModule",{value:!0});const resolve_1=requireResolve$1();class MissingRefError extends Error{constructor(resolver2,baseId,ref2,msg){super(msg||`can't resolve reference ${ref2} from id ${baseId}`),this.missingRef=(0,resolve_1.resolveUrl)(resolver2,baseId,ref2),this.missingSchema=(0,resolve_1.normalizeId)((0,resolve_1.getFullPath)(resolver2,this.missingRef))}}return ref_error$1.default=MissingRefError,ref_error$1}var compile$1={},hasRequiredCompile$1;function requireCompile$1(){if(hasRequiredCompile$1)
+return compile$1;hasRequiredCompile$1=1,Object.defineProperty(compile$1,"__esModule",{value:!0}),compile$1.resolveSchema=compile$1.getCompilingSchema=compile$1.resolveRef=compile$1.compileSchema=compile$1.SchemaEnv=void 0;const codegen_1=requireCodegen$1(),validation_error_1=requireValidation_error$1(),names_1=requireNames$1(),resolve_1=requireResolve$1(),util_1=requireUtil$1(),validate_1=requireValidate$1();class SchemaEnv{constructor(env2){var _a2;this.refs={},this.dynamicAnchors={};let schema;
+typeof env2.schema=="object"&&(schema=env2.schema),this.schema=env2.schema,this.schemaId=env2.schemaId,this.root=env2.root||this,this.baseId=(_a2=env2.baseId)!==null&&_a2!==void 0?_a2:(0,resolve_1.normalizeId)(schema?.[env2.schemaId||"$id"]),this.schemaPath=env2.schemaPath,this.localRefs=env2.localRefs,this.meta=env2.meta,this.$async=schema?.$async,this.refs={}}}compile$1.SchemaEnv=SchemaEnv;function compileSchema(sch){const _sch=getCompilingSchema.call(this,sch);if(_sch)return _sch;const rootId=(0,resolve_1.
+getFullPath)(this.opts.uriResolver,sch.root.baseId),{es5,lines}=this.opts.code,{ownProperties}=this.opts,gen=new codegen_1.CodeGen(this.scope,{es5,lines,ownProperties});let _ValidationError;sch.$async&&(_ValidationError=gen.scopeValue("Error",{ref:validation_error_1.default,code:(0,codegen_1._)`require("ajv/dist/runtime/validation_error").default`}));const validateName=gen.scopeName("validate");sch.validateName=validateName;const schemaCxt={gen,allErrors:this.opts.allErrors,data:names_1.default.
+data,parentData:names_1.default.parentData,parentDataProperty:names_1.default.parentDataProperty,dataNames:[names_1.default.data],dataPathArr:[codegen_1.nil],dataLevel:0,dataTypes:[],definedProperties:new Set,topSchemaRef:gen.scopeValue("schema",this.opts.code.source===!0?{ref:sch.schema,code:(0,codegen_1.stringify)(sch.schema)}:{ref:sch.schema}),validateName,ValidationError:_ValidationError,schema:sch.schema,schemaEnv:sch,rootId,baseId:sch.baseId||rootId,schemaPath:codegen_1.nil,errSchemaPath:sch.
+schemaPath||(this.opts.jtd?"":"#"),errorPath:(0,codegen_1._)`""`,opts:this.opts,self:this};let sourceCode;try{this._compilations.add(sch),(0,validate_1.validateFunctionCode)(schemaCxt),gen.optimize(this.opts.code.optimize);const validateCode=gen.toString();sourceCode=`${gen.scopeRefs(names_1.default.scope)}return ${validateCode}`,this.opts.code.process&&(sourceCode=this.opts.code.process(sourceCode,sch));const validate2=new Function(`${names_1.default.self}`,`${names_1.default.scope}`,sourceCode)(
+this,this.scope.get());if(this.scope.value(validateName,{ref:validate2}),validate2.errors=null,validate2.schema=sch.schema,validate2.schemaEnv=sch,sch.$async&&(validate2.$async=!0),this.opts.code.source===!0&&(validate2.source={validateName,validateCode,scopeValues:gen._values}),this.opts.unevaluated){const{props,items:items2}=schemaCxt;validate2.evaluated={props:props instanceof codegen_1.Name?void 0:props,items:items2 instanceof codegen_1.Name?void 0:items2,dynamicProps:props instanceof codegen_1.
+Name,dynamicItems:items2 instanceof codegen_1.Name},validate2.source&&(validate2.source.evaluated=(0,codegen_1.stringify)(validate2.evaluated))}return sch.validate=validate2,sch}catch(e){throw delete sch.validate,delete sch.validateName,sourceCode&&this.logger.error("Error compiling schema, function code:",sourceCode),e}finally{this._compilations.delete(sch)}}compile$1.compileSchema=compileSchema;function resolveRef(root2,baseId,ref2){var _a2;ref2=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,
+ref2);const schOrFunc=root2.refs[ref2];if(schOrFunc)return schOrFunc;let _sch=resolve2.call(this,root2,ref2);if(_sch===void 0){const schema=(_a2=root2.localRefs)===null||_a2===void 0?void 0:_a2[ref2],{schemaId}=this.opts;schema&&(_sch=new SchemaEnv({schema,schemaId,root:root2,baseId}))}if(_sch!==void 0)return root2.refs[ref2]=inlineOrCompile.call(this,_sch)}compile$1.resolveRef=resolveRef;function inlineOrCompile(sch){return(0,resolve_1.inlineRef)(sch.schema,this.opts.inlineRefs)?sch.schema:sch.
+validate?sch:compileSchema.call(this,sch)}function getCompilingSchema(schEnv){for(const sch of this._compilations)if(sameSchemaEnv(sch,schEnv))return sch}compile$1.getCompilingSchema=getCompilingSchema;function sameSchemaEnv(s1,s2){return s1.schema===s2.schema&&s1.root===s2.root&&s1.baseId===s2.baseId}function resolve2(root2,ref2){let sch;for(;typeof(sch=this.refs[ref2])=="string";)ref2=sch;return sch||this.schemas[ref2]||resolveSchema.call(this,root2,ref2)}function resolveSchema(root2,ref2){const p2=this.
+opts.uriResolver.parse(ref2),refPath=(0,resolve_1._getFullPath)(this.opts.uriResolver,p2);let baseId=(0,resolve_1.getFullPath)(this.opts.uriResolver,root2.baseId,void 0);if(Object.keys(root2.schema).length>0&&refPath===baseId)return getJsonPointer.call(this,p2,root2);const id2=(0,resolve_1.normalizeId)(refPath),schOrRef=this.refs[id2]||this.schemas[id2];if(typeof schOrRef=="string"){const sch=resolveSchema.call(this,root2,schOrRef);return typeof sch?.schema!="object"?void 0:getJsonPointer.call(this,
+p2,sch)}if(typeof schOrRef?.schema=="object"){if(schOrRef.validate||compileSchema.call(this,schOrRef),id2===(0,resolve_1.normalizeId)(ref2)){const{schema}=schOrRef,{schemaId}=this.opts,schId=schema[schemaId];return schId&&(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId)),new SchemaEnv({schema,schemaId,root:root2,baseId})}return getJsonPointer.call(this,p2,schOrRef)}}compile$1.resolveSchema=resolveSchema;const PREVENT_SCOPE_CHANGE=new Set(["properties","patternProperties","enu\
+m","dependencies","definitions"]);function getJsonPointer(parsedRef,{baseId,schema,root:root2}){var _a2;if(((_a2=parsedRef.fragment)===null||_a2===void 0?void 0:_a2[0])!=="/")return;for(const part of parsedRef.fragment.slice(1).split("/")){if(typeof schema=="boolean")return;const partSchema=schema[(0,util_1.unescapeFragment)(part)];if(partSchema===void 0)return;schema=partSchema;const schId=typeof schema=="object"&&schema[this.opts.schemaId];!PREVENT_SCOPE_CHANGE.has(part)&&schId&&(baseId=(0,resolve_1.
+resolveUrl)(this.opts.uriResolver,baseId,schId))}let env2;if(typeof schema!="boolean"&&schema.$ref&&!(0,util_1.schemaHasRulesButRef)(schema,this.RULES)){const $ref=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schema.$ref);env2=resolveSchema.call(this,root2,$ref)}const{schemaId}=this.opts;if(env2=env2||new SchemaEnv({schema,schemaId,root:root2,baseId}),env2.schema!==env2.root.schema)return env2}return compile$1}const $id$3="https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/r\
+efs/data.json#",description$1="Meta-schema for $data reference (JSON AnySchema extension proposal)",type$3="object",required$3=["$data"],properties$6={$data:{type:"string",anyOf:[{format:"relative-json-pointer"},{format:"json-pointer"}]}},additionalProperties$3=!1,require$$9$1={$id:$id$3,description:description$1,type:type$3,required:required$3,properties:properties$6,additionalProperties:additionalProperties$3};var uri$1={},fastUri={exports:{}},utils$1,hasRequiredUtils;function requireUtils(){if(hasRequiredUtils)
+return utils$1;hasRequiredUtils=1;const isUUID=RegExp.prototype.test.bind(/^[\da-f]{8}-[\da-f]{4}-[\da-f]{4}-[\da-f]{4}-[\da-f]{12}$/iu),isIPv4=RegExp.prototype.test.bind(/^(?:(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]\d|\d)$/u);function stringArrayToHexStripped(input){let acc="",code2=0,i=0;for(i=0;i<input.length;i++)if(code2=input[i].charCodeAt(0),code2!==48){if(!(code2>=48&&code2<=57||code2>=65&&code2<=70||code2>=97&&code2<=102))return"";acc+=input[i];break}for(i+=
+1;i<input.length;i++){if(code2=input[i].charCodeAt(0),!(code2>=48&&code2<=57||code2>=65&&code2<=70||code2>=97&&code2<=102))return"";acc+=input[i]}return acc}const nonSimpleDomain=RegExp.prototype.test.bind(/[^!"$&'()*+,\-.;=_`a-z{}~]/u);function consumeIsZone(buffer){return buffer.length=0,!0}function consumeHextets(buffer,address,output){if(buffer.length){const hex=stringArrayToHexStripped(buffer);if(hex!=="")address.push(hex);else return output.error=!0,!1;buffer.length=0}return!0}function getIPV6(input){
+let tokenCount=0;const output={error:!1,address:"",zone:""},address=[],buffer=[];let endipv6Encountered=!1,endIpv6=!1,consume=consumeHextets;for(let i=0;i<input.length;i++){const cursor=input[i];if(!(cursor==="["||cursor==="]"))if(cursor===":"){if(endipv6Encountered===!0&&(endIpv6=!0),!consume(buffer,address,output))break;if(++tokenCount>7){output.error=!0;break}i>0&&input[i-1]===":"&&(endipv6Encountered=!0),address.push(":");continue}else if(cursor==="%"){if(!consume(buffer,address,output))break;
+consume=consumeIsZone}else{buffer.push(cursor);continue}}return buffer.length&&(consume===consumeIsZone?output.zone=buffer.join(""):endIpv6?address.push(buffer.join("")):address.push(stringArrayToHexStripped(buffer))),output.address=address.join(""),output}function normalizeIPv6(host){if(findToken(host,":")<2)return{host,isIPV6:!1};const ipv62=getIPV6(host);if(ipv62.error)return{host,isIPV6:!1};{let newHost=ipv62.address,escapedHost=ipv62.address;return ipv62.zone&&(newHost+="%"+ipv62.zone,escapedHost+=
+"%25"+ipv62.zone),{host:newHost,isIPV6:!0,escapedHost}}}function findToken(str,token2){let ind=0;for(let i=0;i<str.length;i++)str[i]===token2&&ind++;return ind}function removeDotSegments(path2){let input=path2;const output=[];let nextSlash=-1,len=0;for(;len=input.length;){if(len===1){if(input===".")break;if(input==="/"){output.push("/");break}else{output.push(input);break}}else if(len===2){if(input[0]==="."){if(input[1]===".")break;if(input[1]==="/"){input=input.slice(2);continue}}else if(input[0]===
+"/"&&(input[1]==="."||input[1]==="/")){output.push("/");break}}else if(len===3&&input==="/.."){output.length!==0&&output.pop(),output.push("/");break}if(input[0]==="."){if(input[1]==="."){if(input[2]==="/"){input=input.slice(3);continue}}else if(input[1]==="/"){input=input.slice(2);continue}}else if(input[0]==="/"&&input[1]==="."){if(input[2]==="/"){input=input.slice(2);continue}else if(input[2]==="."&&input[3]==="/"){input=input.slice(3),output.length!==0&&output.pop();continue}}if((nextSlash=input.
+indexOf("/",1))===-1){output.push(input);break}else output.push(input.slice(0,nextSlash)),input=input.slice(nextSlash)}return output.join("")}function normalizeComponentEncoding(component2,esc2){const func=esc2!==!0?escape:unescape;return component2.scheme!==void 0&&(component2.scheme=func(component2.scheme)),component2.userinfo!==void 0&&(component2.userinfo=func(component2.userinfo)),component2.host!==void 0&&(component2.host=func(component2.host)),component2.path!==void 0&&(component2.path=func(
+component2.path)),component2.query!==void 0&&(component2.query=func(component2.query)),component2.fragment!==void 0&&(component2.fragment=func(component2.fragment)),component2}function recomposeAuthority(component2){const uriTokens=[];if(component2.userinfo!==void 0&&(uriTokens.push(component2.userinfo),uriTokens.push("@")),component2.host!==void 0){let host=unescape(component2.host);if(!isIPv4(host)){const ipV6res=normalizeIPv6(host);ipV6res.isIPV6===!0?host=`[${ipV6res.escapedHost}]`:host=component2.
+host}uriTokens.push(host)}return(typeof component2.port=="number"||typeof component2.port=="string")&&(uriTokens.push(":"),uriTokens.push(String(component2.port))),uriTokens.length?uriTokens.join(""):void 0}return utils$1={nonSimpleDomain,recomposeAuthority,normalizeComponentEncoding,removeDotSegments,isIPv4,isUUID,normalizeIPv6,stringArrayToHexStripped},utils$1}var schemes,hasRequiredSchemes;function requireSchemes(){if(hasRequiredSchemes)return schemes;hasRequiredSchemes=1;const{isUUID}=requireUtils(),
+URN_REG=/([\da-z][\d\-a-z]{0,31}):((?:[\w!$'()*+,\-.:;=@]|%[\da-f]{2})+)/iu,supportedSchemeNames=["http","https","ws","wss","urn","urn:uuid"];function isValidSchemeName(name){return supportedSchemeNames.indexOf(name)!==-1}function wsIsSecure(wsComponent){return wsComponent.secure===!0?!0:wsComponent.secure===!1?!1:wsComponent.scheme?wsComponent.scheme.length===3&&(wsComponent.scheme[0]==="w"||wsComponent.scheme[0]==="W")&&(wsComponent.scheme[1]==="s"||wsComponent.scheme[1]==="S")&&(wsComponent.scheme[2]===
+"s"||wsComponent.scheme[2]==="S"):!1}function httpParse(component2){return component2.host||(component2.error=component2.error||"HTTP URIs must have a host."),component2}function httpSerialize(component2){const secure=String(component2.scheme).toLowerCase()==="https";return(component2.port===(secure?443:80)||component2.port==="")&&(component2.port=void 0),component2.path||(component2.path="/"),component2}function wsParse(wsComponent){return wsComponent.secure=wsIsSecure(wsComponent),wsComponent.
+resourceName=(wsComponent.path||"/")+(wsComponent.query?"?"+wsComponent.query:""),wsComponent.path=void 0,wsComponent.query=void 0,wsComponent}function wsSerialize(wsComponent){if((wsComponent.port===(wsIsSecure(wsComponent)?443:80)||wsComponent.port==="")&&(wsComponent.port=void 0),typeof wsComponent.secure=="boolean"&&(wsComponent.scheme=wsComponent.secure?"wss":"ws",wsComponent.secure=void 0),wsComponent.resourceName){const[path2,query]=wsComponent.resourceName.split("?");wsComponent.path=path2&&
+path2!=="/"?path2:void 0,wsComponent.query=query,wsComponent.resourceName=void 0}return wsComponent.fragment=void 0,wsComponent}function urnParse(urnComponent,options){if(!urnComponent.path)return urnComponent.error="URN can not be parsed",urnComponent;const matches2=urnComponent.path.match(URN_REG);if(matches2){const scheme2=options.scheme||urnComponent.scheme||"urn";urnComponent.nid=matches2[1].toLowerCase(),urnComponent.nss=matches2[2];const urnScheme=`${scheme2}:${options.nid||urnComponent.nid}`,
+schemeHandler=getSchemeHandler(urnScheme);urnComponent.path=void 0,schemeHandler&&(urnComponent=schemeHandler.parse(urnComponent,options))}else urnComponent.error=urnComponent.error||"URN can not be parsed.";return urnComponent}function urnSerialize(urnComponent,options){if(urnComponent.nid===void 0)throw new Error("URN without nid cannot be serialized");const scheme2=options.scheme||urnComponent.scheme||"urn",nid=urnComponent.nid.toLowerCase(),urnScheme=`${scheme2}:${options.nid||nid}`,schemeHandler=getSchemeHandler(
+urnScheme);schemeHandler&&(urnComponent=schemeHandler.serialize(urnComponent,options));const uriComponent=urnComponent,nss=urnComponent.nss;return uriComponent.path=`${nid||options.nid}:${nss}`,options.skipEscape=!0,uriComponent}function urnuuidParse(urnComponent,options){const uuidComponent=urnComponent;return uuidComponent.uuid=uuidComponent.nss,uuidComponent.nss=void 0,!options.tolerant&&(!uuidComponent.uuid||!isUUID(uuidComponent.uuid))&&(uuidComponent.error=uuidComponent.error||"UUID is not\
+ valid."),uuidComponent}function urnuuidSerialize(uuidComponent){const urnComponent=uuidComponent;return urnComponent.nss=(uuidComponent.uuid||"").toLowerCase(),urnComponent}const http2={scheme:"http",domainHost:!0,parse:httpParse,serialize:httpSerialize},https={scheme:"https",domainHost:http2.domainHost,parse:httpParse,serialize:httpSerialize},ws={scheme:"ws",domainHost:!0,parse:wsParse,serialize:wsSerialize},wss={scheme:"wss",domainHost:ws.domainHost,parse:ws.parse,serialize:ws.serialize},SCHEMES={
+http:http2,https,ws,wss,urn:{scheme:"urn",parse:urnParse,serialize:urnSerialize,skipNormalize:!0},"urn:uuid":{scheme:"urn:uuid",parse:urnuuidParse,serialize:urnuuidSerialize,skipNormalize:!0}};Object.setPrototypeOf(SCHEMES,null);function getSchemeHandler(scheme2){return scheme2&&(SCHEMES[scheme2]||SCHEMES[scheme2.toLowerCase()])||void 0}return schemes={wsIsSecure,SCHEMES,isValidSchemeName,getSchemeHandler},schemes}var hasRequiredFastUri;function requireFastUri(){if(hasRequiredFastUri)return fastUri.
+exports;hasRequiredFastUri=1;const{normalizeIPv6,removeDotSegments,recomposeAuthority,normalizeComponentEncoding,isIPv4,nonSimpleDomain}=requireUtils(),{SCHEMES,getSchemeHandler}=requireSchemes();function normalize2(uri2,options){return typeof uri2=="string"?uri2=serialize2(parse2(uri2,options),options):typeof uri2=="object"&&(uri2=parse2(serialize2(uri2,options),options)),uri2}function resolve2(baseURI,relativeURI,options){const schemelessOptions=options?Object.assign({scheme:"null"},options):{
+scheme:"null"},resolved=resolveComponent(parse2(baseURI,schemelessOptions),parse2(relativeURI,schemelessOptions),schemelessOptions,!0);return schemelessOptions.skipEscape=!0,serialize2(resolved,schemelessOptions)}function resolveComponent(base2,relative,options,skipNormalization){const target2={};return skipNormalization||(base2=parse2(serialize2(base2,options),options),relative=parse2(serialize2(relative,options),options)),options=options||{},!options.tolerant&&relative.scheme?(target2.scheme=relative.
+scheme,target2.userinfo=relative.userinfo,target2.host=relative.host,target2.port=relative.port,target2.path=removeDotSegments(relative.path||""),target2.query=relative.query):(relative.userinfo!==void 0||relative.host!==void 0||relative.port!==void 0?(target2.userinfo=relative.userinfo,target2.host=relative.host,target2.port=relative.port,target2.path=removeDotSegments(relative.path||""),target2.query=relative.query):(relative.path?(relative.path[0]==="/"?target2.path=removeDotSegments(relative.
+path):((base2.userinfo!==void 0||base2.host!==void 0||base2.port!==void 0)&&!base2.path?target2.path="/"+relative.path:base2.path?target2.path=base2.path.slice(0,base2.path.lastIndexOf("/")+1)+relative.path:target2.path=relative.path,target2.path=removeDotSegments(target2.path)),target2.query=relative.query):(target2.path=base2.path,relative.query!==void 0?target2.query=relative.query:target2.query=base2.query),target2.userinfo=base2.userinfo,target2.host=base2.host,target2.port=base2.port),target2.
+scheme=base2.scheme),target2.fragment=relative.fragment,target2}function equal2(uriA,uriB,options){return typeof uriA=="string"?(uriA=unescape(uriA),uriA=serialize2(normalizeComponentEncoding(parse2(uriA,options),!0),{...options,skipEscape:!0})):typeof uriA=="object"&&(uriA=serialize2(normalizeComponentEncoding(uriA,!0),{...options,skipEscape:!0})),typeof uriB=="string"?(uriB=unescape(uriB),uriB=serialize2(normalizeComponentEncoding(parse2(uriB,options),!0),{...options,skipEscape:!0})):typeof uriB==
+"object"&&(uriB=serialize2(normalizeComponentEncoding(uriB,!0),{...options,skipEscape:!0})),uriA.toLowerCase()===uriB.toLowerCase()}function serialize2(cmpts,opts){const component2={host:cmpts.host,scheme:cmpts.scheme,userinfo:cmpts.userinfo,port:cmpts.port,path:cmpts.path,query:cmpts.query,nid:cmpts.nid,nss:cmpts.nss,uuid:cmpts.uuid,fragment:cmpts.fragment,reference:cmpts.reference,resourceName:cmpts.resourceName,secure:cmpts.secure,error:""},options=Object.assign({},opts),uriTokens=[],schemeHandler=getSchemeHandler(
+options.scheme||component2.scheme);schemeHandler&&schemeHandler.serialize&&schemeHandler.serialize(component2,options),component2.path!==void 0&&(options.skipEscape?component2.path=unescape(component2.path):(component2.path=escape(component2.path),component2.scheme!==void 0&&(component2.path=component2.path.split("%3A").join(":")))),options.reference!=="suffix"&&component2.scheme&&uriTokens.push(component2.scheme,":");const authority=recomposeAuthority(component2);if(authority!==void 0&&(options.
+reference!=="suffix"&&uriTokens.push("//"),uriTokens.push(authority),component2.path&&component2.path[0]!=="/"&&uriTokens.push("/")),component2.path!==void 0){let s2=component2.path;!options.absolutePath&&(!schemeHandler||!schemeHandler.absolutePath)&&(s2=removeDotSegments(s2)),authority===void 0&&s2[0]==="/"&&s2[1]==="/"&&(s2="/%2F"+s2.slice(2)),uriTokens.push(s2)}return component2.query!==void 0&&uriTokens.push("?",component2.query),component2.fragment!==void 0&&uriTokens.push("#",component2.fragment),
+uriTokens.join("")}const URI_PARSE=/^(?:([^#/:?]+):)?(?:\/\/((?:([^#/?@]*)@)?(\[[^#/?\]]+\]|[^#/:?]*)(?::(\d*))?))?([^#?]*)(?:\?([^#]*))?(?:#((?:.|[\n\r])*))?/u;function parse2(uri2,opts){const options=Object.assign({},opts),parsed={scheme:void 0,userinfo:void 0,host:"",port:void 0,path:"",query:void 0,fragment:void 0};let isIP=!1;options.reference==="suffix"&&(options.scheme?uri2=options.scheme+":"+uri2:uri2="//"+uri2);const matches2=uri2.match(URI_PARSE);if(matches2){if(parsed.scheme=matches2[1],
+parsed.userinfo=matches2[3],parsed.host=matches2[4],parsed.port=parseInt(matches2[5],10),parsed.path=matches2[6]||"",parsed.query=matches2[7],parsed.fragment=matches2[8],isNaN(parsed.port)&&(parsed.port=matches2[5]),parsed.host)if(isIPv4(parsed.host)===!1){const ipv6result=normalizeIPv6(parsed.host);parsed.host=ipv6result.host.toLowerCase(),isIP=ipv6result.isIPV6}else isIP=!0;parsed.scheme===void 0&&parsed.userinfo===void 0&&parsed.host===void 0&&parsed.port===void 0&&parsed.query===void 0&&!parsed.
+path?parsed.reference="same-document":parsed.scheme===void 0?parsed.reference="relative":parsed.fragment===void 0?parsed.reference="absolute":parsed.reference="uri",options.reference&&options.reference!=="suffix"&&options.reference!==parsed.reference&&(parsed.error=parsed.error||"URI is not a "+options.reference+" reference.");const schemeHandler=getSchemeHandler(options.scheme||parsed.scheme);if(!options.unicodeSupport&&(!schemeHandler||!schemeHandler.unicodeSupport)&&parsed.host&&(options.domainHost||
+schemeHandler&&schemeHandler.domainHost)&&isIP===!1&&nonSimpleDomain(parsed.host))try{parsed.host=URL.domainToASCII(parsed.host.toLowerCase())}catch(e){parsed.error=parsed.error||"Host's domain name can not be converted to ASCII: "+e}(!schemeHandler||schemeHandler&&!schemeHandler.skipNormalize)&&(uri2.indexOf("%")!==-1&&(parsed.scheme!==void 0&&(parsed.scheme=unescape(parsed.scheme)),parsed.host!==void 0&&(parsed.host=unescape(parsed.host))),parsed.path&&(parsed.path=escape(unescape(parsed.path))),
+parsed.fragment&&(parsed.fragment=encodeURI(decodeURIComponent(parsed.fragment)))),schemeHandler&&schemeHandler.parse&&schemeHandler.parse(parsed,options)}else parsed.error=parsed.error||"URI can not be parsed.";return parsed}const fastUri$1={SCHEMES,normalize:normalize2,resolve:resolve2,resolveComponent,equal:equal2,serialize:serialize2,parse:parse2};return fastUri.exports=fastUri$1,fastUri.exports.default=fastUri$1,fastUri.exports.fastUri=fastUri$1,fastUri.exports}var hasRequiredUri$1;function requireUri$1(){
+if(hasRequiredUri$1)return uri$1;hasRequiredUri$1=1,Object.defineProperty(uri$1,"__esModule",{value:!0});const uri2=requireFastUri();return uri2.code='require("ajv/dist/runtime/uri").default',uri$1.default=uri2,uri$1}var hasRequiredCore$3;function requireCore$3(){return hasRequiredCore$3||(hasRequiredCore$3=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.CodeGen=exports$1.Name=exports$1.nil=exports$1.stringify=exports$1.str=exports$1._=exports$1.KeywordCxt=
+void 0;var validate_1=requireValidate$1();Object.defineProperty(exports$1,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen$1();Object.defineProperty(exports$1,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports$1,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports$1,"n\
+il",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports$1,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});const validation_error_1=requireValidation_error$1(),ref_error_1=requireRef_error$1(),rules_1=requireRules$1(),compile_1=requireCompile$1(),codegen_2=requireCodegen$1(),resolve_1=requireResolve$1(),dataType_1=requireDataType$1(),util_1=requireUtil$1(),
+$dataRefSchema=require$$9$1,uri_1=requireUri$1(),defaultRegExp=(str,flags2)=>new RegExp(str,flags2);defaultRegExp.code="new RegExp";const META_IGNORE_OPTIONS=["removeAdditional","useDefaults","coerceTypes"],EXT_SCOPE_NAMES=new Set(["validate","serialize","parse","wrapper","root","schema","keyword","pattern","formats","validate$data","func","obj","Error"]),removedOptions={errorDataPath:"",format:"`validateFormats: false` can be used instead.",nullable:'"nullable" keyword is supported by default.',
+jsonPointers:"Deprecated jsPropertySyntax can be used instead.",extendRefs:"Deprecated ignoreKeywordsWithRef can be used instead.",missingRefs:"Pass empty schema with $id that should be ignored to ajv.addSchema.",processCode:"Use option `code: {process: (code, schemaEnv: object) => string}`",sourceCode:"Use option `code: {source: true}`",strictDefaults:"It is default now, see option `strict`.",strictKeywords:"It is default now, see option `strict`.",uniqueItems:'"uniqueItems" keyword is always v\
+alidated.',unknownFormats:"Disable strict mode or pass `true` to `ajv.addFormat` (or `formats` option).",cache:"Map is used as cache, schema object as key.",serialize:"Map is used as cache, schema object as key.",ajvErrors:"It is default now."},deprecatedOptions={ignoreKeywordsWithRef:"",jsPropertySyntax:"",unicode:'"minLength"/"maxLength" account for unicode characters by default.'},MAX_EXPRESSION=200;function requiredOptions(o){var _a2,_b,_c,_d,_e,_f,_g,_h,_j,_k,_l,_m,_o,_p,_q,_r,_s,_t,_u,_v,_w,
+_x,_y,_z,_02;const s2=o.strict,_optz=(_a2=o.code)===null||_a2===void 0?void 0:_a2.optimize,optimize=_optz===!0||_optz===void 0?1:_optz||0,regExp=(_c=(_b=o.code)===null||_b===void 0?void 0:_b.regExp)!==null&&_c!==void 0?_c:defaultRegExp,uriResolver=(_d=o.uriResolver)!==null&&_d!==void 0?_d:uri_1.default;return{strictSchema:(_f=(_e=o.strictSchema)!==null&&_e!==void 0?_e:s2)!==null&&_f!==void 0?_f:!0,strictNumbers:(_h=(_g=o.strictNumbers)!==null&&_g!==void 0?_g:s2)!==null&&_h!==void 0?_h:!0,strictTypes:(_k=
+(_j=o.strictTypes)!==null&&_j!==void 0?_j:s2)!==null&&_k!==void 0?_k:"log",strictTuples:(_m=(_l=o.strictTuples)!==null&&_l!==void 0?_l:s2)!==null&&_m!==void 0?_m:"log",strictRequired:(_p=(_o=o.strictRequired)!==null&&_o!==void 0?_o:s2)!==null&&_p!==void 0?_p:!1,code:o.code?{...o.code,optimize,regExp}:{optimize,regExp},loopRequired:(_q=o.loopRequired)!==null&&_q!==void 0?_q:MAX_EXPRESSION,loopEnum:(_r=o.loopEnum)!==null&&_r!==void 0?_r:MAX_EXPRESSION,meta:(_s=o.meta)!==null&&_s!==void 0?_s:!0,messages:(_t=
+o.messages)!==null&&_t!==void 0?_t:!0,inlineRefs:(_u=o.inlineRefs)!==null&&_u!==void 0?_u:!0,schemaId:(_v=o.schemaId)!==null&&_v!==void 0?_v:"$id",addUsedSchema:(_w=o.addUsedSchema)!==null&&_w!==void 0?_w:!0,validateSchema:(_x=o.validateSchema)!==null&&_x!==void 0?_x:!0,validateFormats:(_y=o.validateFormats)!==null&&_y!==void 0?_y:!0,unicodeRegExp:(_z=o.unicodeRegExp)!==null&&_z!==void 0?_z:!0,int32range:(_02=o.int32range)!==null&&_02!==void 0?_02:!0,uriResolver}}class Ajv2{constructor(opts={}){
+this.schemas={},this.refs={},this.formats={},this._compilations=new Set,this._loading={},this._cache=new Map,opts=this.opts={...opts,...requiredOptions(opts)};const{es5,lines}=this.opts.code;this.scope=new codegen_2.ValueScope({scope:{},prefixes:EXT_SCOPE_NAMES,es5,lines}),this.logger=getLogger(opts.logger);const formatOpt=opts.validateFormats;opts.validateFormats=!1,this.RULES=(0,rules_1.getRules)(),checkOptions.call(this,removedOptions,opts,"NOT SUPPORTED"),checkOptions.call(this,deprecatedOptions,
+opts,"DEPRECATED","warn"),this._metaOpts=getMetaSchemaOptions.call(this),opts.formats&&addInitialFormats.call(this),this._addVocabularies(),this._addDefaultMetaSchema(),opts.keywords&&addInitialKeywords.call(this,opts.keywords),typeof opts.meta=="object"&&this.addMetaSchema(opts.meta),addInitialSchemas.call(this),opts.validateFormats=formatOpt}_addVocabularies(){this.addKeyword("$async")}_addDefaultMetaSchema(){const{$data,meta,schemaId}=this.opts;let _dataRefSchema=$dataRefSchema;schemaId==="id"&&
+(_dataRefSchema={...$dataRefSchema},_dataRefSchema.id=_dataRefSchema.$id,delete _dataRefSchema.$id),meta&&$data&&this.addMetaSchema(_dataRefSchema,_dataRefSchema[schemaId],!1)}defaultMeta(){const{meta,schemaId}=this.opts;return this.opts.defaultMeta=typeof meta=="object"?meta[schemaId]||meta:void 0}validate(schemaKeyRef,data){let v;if(typeof schemaKeyRef=="string"){if(v=this.getSchema(schemaKeyRef),!v)throw new Error(`no schema with key or ref "${schemaKeyRef}"`)}else v=this.compile(schemaKeyRef);
+const valid2=v(data);return"$async"in v||(this.errors=v.errors),valid2}compile(schema,_meta){const sch=this._addSchema(schema,_meta);return sch.validate||this._compileSchemaEnv(sch)}compileAsync(schema,meta){if(typeof this.opts.loadSchema!="function")throw new Error("options.loadSchema should be a function");const{loadSchema}=this.opts;return runCompileAsync.call(this,schema,meta);async function runCompileAsync(_schema,_meta){await loadMetaSchema.call(this,_schema.$schema);const sch=this._addSchema(
+_schema,_meta);return sch.validate||_compileAsync.call(this,sch)}async function loadMetaSchema($ref){$ref&&!this.getSchema($ref)&&await runCompileAsync.call(this,{$ref},!0)}async function _compileAsync(sch){try{return this._compileSchemaEnv(sch)}catch(e){if(!(e instanceof ref_error_1.default))throw e;return checkLoaded.call(this,e),await loadMissingSchema.call(this,e.missingSchema),_compileAsync.call(this,sch)}}function checkLoaded({missingSchema:ref2,missingRef}){if(this.refs[ref2])throw new Error(
+`AnySchema ${ref2} is loaded but ${missingRef} cannot be resolved`)}async function loadMissingSchema(ref2){const _schema=await _loadSchema.call(this,ref2);this.refs[ref2]||await loadMetaSchema.call(this,_schema.$schema),this.refs[ref2]||this.addSchema(_schema,ref2,meta)}async function _loadSchema(ref2){const p2=this._loading[ref2];if(p2)return p2;try{return await(this._loading[ref2]=loadSchema(ref2))}finally{delete this._loading[ref2]}}}addSchema(schema,key2,_meta,_validateSchema=this.opts.validateSchema){
+if(Array.isArray(schema)){for(const sch of schema)this.addSchema(sch,void 0,_meta,_validateSchema);return this}let id2;if(typeof schema=="object"){const{schemaId}=this.opts;if(id2=schema[schemaId],id2!==void 0&&typeof id2!="string")throw new Error(`schema ${schemaId} must be string`)}return key2=(0,resolve_1.normalizeId)(key2||id2),this._checkUnique(key2),this.schemas[key2]=this._addSchema(schema,_meta,key2,_validateSchema,!0),this}addMetaSchema(schema,key2,_validateSchema=this.opts.validateSchema){
+return this.addSchema(schema,key2,!0,_validateSchema),this}validateSchema(schema,throwOrLogError){if(typeof schema=="boolean")return!0;let $schema2;if($schema2=schema.$schema,$schema2!==void 0&&typeof $schema2!="string")throw new Error("$schema must be a string");if($schema2=$schema2||this.opts.defaultMeta||this.defaultMeta(),!$schema2)return this.logger.warn("meta-schema not available"),this.errors=null,!0;const valid2=this.validate($schema2,schema);if(!valid2&&throwOrLogError){const message="s\
+chema is invalid: "+this.errorsText();if(this.opts.validateSchema==="log")this.logger.error(message);else throw new Error(message)}return valid2}getSchema(keyRef){let sch;for(;typeof(sch=getSchEnv.call(this,keyRef))=="string";)keyRef=sch;if(sch===void 0){const{schemaId}=this.opts,root2=new compile_1.SchemaEnv({schema:{},schemaId});if(sch=compile_1.resolveSchema.call(this,root2,keyRef),!sch)return;this.refs[keyRef]=sch}return sch.validate||this._compileSchemaEnv(sch)}removeSchema(schemaKeyRef){if(schemaKeyRef instanceof
+RegExp)return this._removeAllSchemas(this.schemas,schemaKeyRef),this._removeAllSchemas(this.refs,schemaKeyRef),this;switch(typeof schemaKeyRef){case"undefined":return this._removeAllSchemas(this.schemas),this._removeAllSchemas(this.refs),this._cache.clear(),this;case"string":{const sch=getSchEnv.call(this,schemaKeyRef);return typeof sch=="object"&&this._cache.delete(sch.schema),delete this.schemas[schemaKeyRef],delete this.refs[schemaKeyRef],this}case"object":{const cacheKey=schemaKeyRef;this._cache.
+delete(cacheKey);let id2=schemaKeyRef[this.opts.schemaId];return id2&&(id2=(0,resolve_1.normalizeId)(id2),delete this.schemas[id2],delete this.refs[id2]),this}default:throw new Error("ajv.removeSchema: invalid parameter")}}addVocabulary(definitions2){for(const def of definitions2)this.addKeyword(def);return this}addKeyword(kwdOrDef,def){let keyword2;if(typeof kwdOrDef=="string")keyword2=kwdOrDef,typeof def=="object"&&(this.logger.warn("these parameters are deprecated, see docs for addKeyword"),def.
+keyword=keyword2);else if(typeof kwdOrDef=="object"&&def===void 0){if(def=kwdOrDef,keyword2=def.keyword,Array.isArray(keyword2)&&!keyword2.length)throw new Error("addKeywords: keyword must be string or non-empty array")}else throw new Error("invalid addKeywords parameters");if(checkKeyword.call(this,keyword2,def),!def)return(0,util_1.eachItem)(keyword2,kwd=>addRule.call(this,kwd)),this;keywordMetaschema.call(this,def);const definition2={...def,type:(0,dataType_1.getJSONTypes)(def.type),schemaType:(0,dataType_1.
+getJSONTypes)(def.schemaType)};return(0,util_1.eachItem)(keyword2,definition2.type.length===0?k=>addRule.call(this,k,definition2):k=>definition2.type.forEach(t=>addRule.call(this,k,definition2,t))),this}getKeyword(keyword2){const rule=this.RULES.all[keyword2];return typeof rule=="object"?rule.definition:!!rule}removeKeyword(keyword2){const{RULES}=this;delete RULES.keywords[keyword2],delete RULES.all[keyword2];for(const group of RULES.rules){const i=group.rules.findIndex(rule=>rule.keyword===keyword2);
+i>=0&&group.rules.splice(i,1)}return this}addFormat(name,format2){return typeof format2=="string"&&(format2=new RegExp(format2)),this.formats[name]=format2,this}errorsText(errors2=this.errors,{separator=", ",dataVar="data"}={}){return!errors2||errors2.length===0?"No errors":errors2.map(e=>`${dataVar}${e.instancePath} ${e.message}`).reduce((text2,msg)=>text2+separator+msg)}$dataMetaSchema(metaSchema,keywordsJsonPointers){const rules2=this.RULES.all;metaSchema=JSON.parse(JSON.stringify(metaSchema));
+for(const jsonPointer of keywordsJsonPointers){const segments=jsonPointer.split("/").slice(1);let keywords2=metaSchema;for(const seg of segments)keywords2=keywords2[seg];for(const key2 in rules2){const rule=rules2[key2];if(typeof rule!="object")continue;const{$data}=rule.definition,schema=keywords2[key2];$data&&schema&&(keywords2[key2]=schemaOrData(schema))}}return metaSchema}_removeAllSchemas(schemas,regex){for(const keyRef in schemas){const sch=schemas[keyRef];(!regex||regex.test(keyRef))&&(typeof sch==
+"string"?delete schemas[keyRef]:sch&&!sch.meta&&(this._cache.delete(sch.schema),delete schemas[keyRef]))}}_addSchema(schema,meta,baseId,validateSchema=this.opts.validateSchema,addSchema=this.opts.addUsedSchema){let id2;const{schemaId}=this.opts;if(typeof schema=="object")id2=schema[schemaId];else{if(this.opts.jtd)throw new Error("schema must be object");if(typeof schema!="boolean")throw new Error("schema must be object or boolean")}let sch=this._cache.get(schema);if(sch!==void 0)return sch;baseId=
+(0,resolve_1.normalizeId)(id2||baseId);const localRefs=resolve_1.getSchemaRefs.call(this,schema,baseId);return sch=new compile_1.SchemaEnv({schema,schemaId,meta,baseId,localRefs}),this._cache.set(sch.schema,sch),addSchema&&!baseId.startsWith("#")&&(baseId&&this._checkUnique(baseId),this.refs[baseId]=sch),validateSchema&&this.validateSchema(schema,!0),sch}_checkUnique(id2){if(this.schemas[id2]||this.refs[id2])throw new Error(`schema with key or id "${id2}" already exists`)}_compileSchemaEnv(sch){
+if(sch.meta?this._compileMetaSchema(sch):compile_1.compileSchema.call(this,sch),!sch.validate)throw new Error("ajv implementation error");return sch.validate}_compileMetaSchema(sch){const currentOpts=this.opts;this.opts=this._metaOpts;try{compile_1.compileSchema.call(this,sch)}finally{this.opts=currentOpts}}}Ajv2.ValidationError=validation_error_1.default,Ajv2.MissingRefError=ref_error_1.default,exports$1.default=Ajv2;function checkOptions(checkOpts,options,msg,log="error"){for(const key2 in checkOpts){
+const opt=key2;opt in options&&this.logger[log](`${msg}: option ${key2}. ${checkOpts[opt]}`)}}function getSchEnv(keyRef){return keyRef=(0,resolve_1.normalizeId)(keyRef),this.schemas[keyRef]||this.refs[keyRef]}function addInitialSchemas(){const optsSchemas=this.opts.schemas;if(optsSchemas)if(Array.isArray(optsSchemas))this.addSchema(optsSchemas);else for(const key2 in optsSchemas)this.addSchema(optsSchemas[key2],key2)}function addInitialFormats(){for(const name in this.opts.formats){const format2=this.
+opts.formats[name];format2&&this.addFormat(name,format2)}}function addInitialKeywords(defs){if(Array.isArray(defs)){this.addVocabulary(defs);return}this.logger.warn("keywords option as map is deprecated, pass array");for(const keyword2 in defs){const def=defs[keyword2];def.keyword||(def.keyword=keyword2),this.addKeyword(def)}}function getMetaSchemaOptions(){const metaOpts={...this.opts};for(const opt of META_IGNORE_OPTIONS)delete metaOpts[opt];return metaOpts}const noLogs={log(){},warn(){},error(){}};
+function getLogger(logger){if(logger===!1)return noLogs;if(logger===void 0)return console;if(logger.log&&logger.warn&&logger.error)return logger;throw new Error("logger must implement log, warn and error methods")}const KEYWORD_NAME=/^[a-z_$][a-z0-9_$:-]*$/i;function checkKeyword(keyword2,def){const{RULES}=this;if((0,util_1.eachItem)(keyword2,kwd=>{if(RULES.keywords[kwd])throw new Error(`Keyword ${kwd} is already defined`);if(!KEYWORD_NAME.test(kwd))throw new Error(`Keyword ${kwd} has invalid na\
+me`)}),!!def&&def.$data&&!("code"in def||"validate"in def))throw new Error('$data keyword must have "code" or "validate" function')}function addRule(keyword2,definition2,dataType2){var _a2;const post=definition2?.post;if(dataType2&&post)throw new Error('keyword with "post" flag cannot have "type"');const{RULES}=this;let ruleGroup=post?RULES.post:RULES.rules.find(({type:t})=>t===dataType2);if(ruleGroup||(ruleGroup={type:dataType2,rules:[]},RULES.rules.push(ruleGroup)),RULES.keywords[keyword2]=!0,
+!definition2)return;const rule={keyword:keyword2,definition:{...definition2,type:(0,dataType_1.getJSONTypes)(definition2.type),schemaType:(0,dataType_1.getJSONTypes)(definition2.schemaType)}};definition2.before?addBeforeRule.call(this,ruleGroup,rule,definition2.before):ruleGroup.rules.push(rule),RULES.all[keyword2]=rule,(_a2=definition2.implements)===null||_a2===void 0||_a2.forEach(kwd=>this.addKeyword(kwd))}function addBeforeRule(ruleGroup,rule,before){const i=ruleGroup.rules.findIndex(_rule=>_rule.
+keyword===before);i>=0?ruleGroup.rules.splice(i,0,rule):(ruleGroup.rules.push(rule),this.logger.warn(`rule ${before} is not defined`))}function keywordMetaschema(def){let{metaSchema}=def;metaSchema!==void 0&&(def.$data&&this.opts.$data&&(metaSchema=schemaOrData(metaSchema)),def.validateSchema=this.compile(metaSchema,!0))}const $dataRef={$ref:"https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#"};function schemaOrData(schema){return{anyOf:[schema,$dataRef]}}})(core$4)),
+core$4}var draft7$1={},core$3={},id$1={},hasRequiredId$1;function requireId$1(){if(hasRequiredId$1)return id$1;hasRequiredId$1=1,Object.defineProperty(id$1,"__esModule",{value:!0});const def={keyword:"id",code(){throw new Error('NOT SUPPORTED: keyword "id", use "$id" for schema ID')}};return id$1.default=def,id$1}var ref$1={},hasRequiredRef$1;function requireRef$1(){if(hasRequiredRef$1)return ref$1;hasRequiredRef$1=1,Object.defineProperty(ref$1,"__esModule",{value:!0}),ref$1.callRef=ref$1.getValidate=
+void 0;const ref_error_1=requireRef_error$1(),code_1=requireCode$2(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),compile_1=requireCompile$1(),util_1=requireUtil$1(),def={keyword:"$ref",schemaType:"string",code(cxt){const{gen,schema:$ref,it}=cxt,{baseId,schemaEnv:env2,validateName,opts,self:self2}=it,{root:root2}=env2;if(($ref==="#"||$ref==="#/")&&baseId===root2.baseId)return callRootRef();const schOrEnv=compile_1.resolveRef.call(self2,root2,baseId,$ref);if(schOrEnv===void 0)throw new ref_error_1.
+default(it.opts.uriResolver,baseId,$ref);if(schOrEnv instanceof compile_1.SchemaEnv)return callValidate(schOrEnv);return inlineRefSchema(schOrEnv);function callRootRef(){if(env2===root2)return callRef(cxt,validateName,env2,env2.$async);const rootName=gen.scopeValue("root",{ref:root2});return callRef(cxt,(0,codegen_1._)`${rootName}.validate`,root2,root2.$async)}function callValidate(sch){const v=getValidate(cxt,sch);callRef(cxt,v,sch,sch.$async)}function inlineRefSchema(sch){const schName=gen.scopeValue(
+"schema",opts.code.source===!0?{ref:sch,code:(0,codegen_1.stringify)(sch)}:{ref:sch}),valid2=gen.name("valid"),schCxt=cxt.subschema({schema:sch,dataTypes:[],schemaPath:codegen_1.nil,topSchemaRef:schName,errSchemaPath:$ref},valid2);cxt.mergeEvaluated(schCxt),cxt.ok(valid2)}}};function getValidate(cxt,sch){const{gen}=cxt;return sch.validate?gen.scopeValue("validate",{ref:sch.validate}):(0,codegen_1._)`${gen.scopeValue("wrapper",{ref:sch})}.validate`}ref$1.getValidate=getValidate;function callRef(cxt,v,sch,$async){
+const{gen,it}=cxt,{allErrors,schemaEnv:env2,opts}=it,passCxt=opts.passContext?names_1.default.this:codegen_1.nil;$async?callAsyncRef():callSyncRef();function callAsyncRef(){if(!env2.$async)throw new Error("async schema referenced by sync schema");const valid2=gen.let("valid");gen.try(()=>{gen.code((0,codegen_1._)`await ${(0,code_1.callValidateCode)(cxt,v,passCxt)}`),addEvaluatedFrom(v),allErrors||gen.assign(valid2,!0)},e=>{gen.if((0,codegen_1._)`!(${e} instanceof ${it.ValidationError})`,()=>gen.
+throw(e)),addErrorsFrom(e),allErrors||gen.assign(valid2,!1)}),cxt.ok(valid2)}function callSyncRef(){cxt.result((0,code_1.callValidateCode)(cxt,v,passCxt),()=>addEvaluatedFrom(v),()=>addErrorsFrom(v))}function addErrorsFrom(source2){const errs=(0,codegen_1._)`${source2}.errors`;gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`),gen.assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`)}
+function addEvaluatedFrom(source2){var _a2;if(!it.opts.unevaluated)return;const schEvaluated=(_a2=sch?.validate)===null||_a2===void 0?void 0:_a2.evaluated;if(it.props!==!0)if(schEvaluated&&!schEvaluated.dynamicProps)schEvaluated.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schEvaluated.props,it.props));else{const props=gen.var("props",(0,codegen_1._)`${source2}.evaluated.props`);it.props=util_1.mergeEvaluated.props(gen,props,it.props,codegen_1.Name)}if(it.items!==!0)if(schEvaluated&&
+!schEvaluated.dynamicItems)schEvaluated.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schEvaluated.items,it.items));else{const items2=gen.var("items",(0,codegen_1._)`${source2}.evaluated.items`);it.items=util_1.mergeEvaluated.items(gen,items2,it.items,codegen_1.Name)}}}return ref$1.callRef=callRef,ref$1.default=def,ref$1}var hasRequiredCore$2;function requireCore$2(){if(hasRequiredCore$2)return core$3;hasRequiredCore$2=1,Object.defineProperty(core$3,"__esModule",{value:!0});const id_1=requireId$1(),
+ref_1=requireRef$1(),core2=["$schema","$id","$defs","$vocabulary",{keyword:"$comment"},"definitions",id_1.default,ref_1.default];return core$3.default=core2,core$3}var validation$1={},limitNumber$1={},hasRequiredLimitNumber$1;function requireLimitNumber$1(){if(hasRequiredLimitNumber$1)return limitNumber$1;hasRequiredLimitNumber$1=1,Object.defineProperty(limitNumber$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),ops=codegen_1.operators,KWDs={maximum:{okStr:"<=",ok:ops.LTE,fail:ops.
+GT},minimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},exclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},exclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({keyword:keyword2,schemaCode})=>(0,codegen_1.str)`must be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`},def={keyword:Object.keys(KWDs),type:"number",schemaType:"number",$data:!0,error:error2,code(cxt){const{keyword:keyword2,
+data,schemaCode}=cxt;cxt.fail$data((0,codegen_1._)`${data} ${KWDs[keyword2].fail} ${schemaCode} || isNaN(${data})`)}};return limitNumber$1.default=def,limitNumber$1}var multipleOf$1={},hasRequiredMultipleOf$1;function requireMultipleOf$1(){if(hasRequiredMultipleOf$1)return multipleOf$1;hasRequiredMultipleOf$1=1,Object.defineProperty(multipleOf$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:"multipleOf",type:"number",schemaType:"number",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.
+str)`must be multiple of ${schemaCode}`,params:({schemaCode})=>(0,codegen_1._)`{multipleOf: ${schemaCode}}`},code(cxt){const{gen,data,schemaCode,it}=cxt,prec=it.opts.multipleOfPrecision,res=gen.let("res"),invalid2=prec?(0,codegen_1._)`Math.abs(Math.round(${res}) - ${res}) > 1e-${prec}`:(0,codegen_1._)`${res} !== parseInt(${res})`;cxt.fail$data((0,codegen_1._)`(${schemaCode} === 0 || (${res} = ${data}/${schemaCode}, ${invalid2}))`)}};return multipleOf$1.default=def,multipleOf$1}var limitLength$1={},
+ucs2length$1={},hasRequiredUcs2length$1;function requireUcs2length$1(){if(hasRequiredUcs2length$1)return ucs2length$1;hasRequiredUcs2length$1=1,Object.defineProperty(ucs2length$1,"__esModule",{value:!0});function ucs2length2(str){const len=str.length;let length=0,pos=0,value;for(;pos<len;)length++,value=str.charCodeAt(pos++),value>=55296&&value<=56319&&pos<len&&(value=str.charCodeAt(pos),(value&64512)===56320&&pos++);return length}return ucs2length$1.default=ucs2length2,ucs2length2.code='require\
+("ajv/dist/runtime/ucs2length").default',ucs2length$1}var hasRequiredLimitLength$1;function requireLimitLength$1(){if(hasRequiredLimitLength$1)return limitLength$1;hasRequiredLimitLength$1=1,Object.defineProperty(limitLength$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),ucs2length_1=requireUcs2length$1(),def={keyword:["maxLength","minLength"],type:"string",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxL\
+ength"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} characters`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode,it}=cxt,op2=keyword2==="maxLength"?codegen_1.operators.GT:codegen_1.operators.LT,len=it.opts.unicode===!1?(0,codegen_1._)`${data}.length`:(0,codegen_1._)`${(0,util_1.useFunc)(cxt.gen,ucs2length_1.default)}(${data})`;cxt.fail$data((0,codegen_1._)`${len} ${op2} ${schemaCode}`)}};return limitLength$1.
+default=def,limitLength$1}var pattern$1={},hasRequiredPattern$1;function requirePattern$1(){if(hasRequiredPattern$1)return pattern$1;hasRequiredPattern$1=1,Object.defineProperty(pattern$1,"__esModule",{value:!0});const code_1=requireCode$2(),util_1=requireUtil$1(),codegen_1=requireCodegen$1(),def={keyword:"pattern",type:"string",schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match pattern "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{pattern: ${schemaCode}}`},
+code(cxt){const{gen,data,$data,schema,schemaCode,it}=cxt,u=it.opts.unicodeRegExp?"u":"";if($data){const{regExp}=it.opts.code,regExpCode=regExp.code==="new RegExp"?(0,codegen_1._)`new RegExp`:(0,util_1.useFunc)(gen,regExp),valid2=gen.let("valid");gen.try(()=>gen.assign(valid2,(0,codegen_1._)`${regExpCode}(${schemaCode}, ${u}).test(${data})`),()=>gen.assign(valid2,!1)),cxt.fail$data((0,codegen_1._)`!${valid2}`)}else{const regExp=(0,code_1.usePattern)(cxt,schema);cxt.fail$data((0,codegen_1._)`!${regExp}.test(${data})`)}}};
+return pattern$1.default=def,pattern$1}var limitProperties$1={},hasRequiredLimitProperties$1;function requireLimitProperties$1(){if(hasRequiredLimitProperties$1)return limitProperties$1;hasRequiredLimitProperties$1=1,Object.defineProperty(limitProperties$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:["maxProperties","minProperties"],type:"object",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxProperties"?"more":"f\
+ewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} properties`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxProperties"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`Object.keys(${data}).length ${op2} ${schemaCode}`)}};return limitProperties$1.default=def,limitProperties$1}var required$2={},hasRequiredRequired$1;function requireRequired$1(){if(hasRequiredRequired$1)
+return required$2;hasRequiredRequired$1=1,Object.defineProperty(required$2,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"required",type:"object",schemaType:"array",$data:!0,error:{message:({params:{missingProperty}})=>(0,codegen_1.str)`must have required property '${missingProperty}'`,params:({params:{missingProperty}})=>(0,codegen_1._)`{missingProperty: ${missingProperty}}`},code(cxt){const{gen,schema,schemaCode,data,$data,
+it}=cxt,{opts}=it;if(!$data&&schema.length===0)return;const useLoop=schema.length>=opts.loopRequired;if(it.allErrors?allErrorsMode():exitOnErrorMode(),opts.strictRequired){const props=cxt.parentSchema.properties,{definedProperties}=cxt.it;for(const requiredKey of schema)if(props?.[requiredKey]===void 0&&!definedProperties.has(requiredKey)){const schemaPath=it.schemaEnv.baseId+it.errSchemaPath,msg=`required property "${requiredKey}" is not defined at "${schemaPath}" (strictRequired)`;(0,util_1.checkStrictMode)(
+it,msg,it.opts.strictRequired)}}function allErrorsMode(){if(useLoop||$data)cxt.block$data(codegen_1.nil,loopAllRequired);else for(const prop2 of schema)(0,code_1.checkReportMissingProp)(cxt,prop2)}function exitOnErrorMode(){const missing=gen.let("missing");if(useLoop||$data){const valid2=gen.let("valid",!0);cxt.block$data(valid2,()=>loopUntilMissing(missing,valid2)),cxt.ok(valid2)}else gen.if((0,code_1.checkMissingProp)(cxt,schema,missing)),(0,code_1.reportMissingProp)(cxt,missing),gen.else()}function loopAllRequired(){
+gen.forOf("prop",schemaCode,prop2=>{cxt.setParams({missingProperty:prop2}),gen.if((0,code_1.noPropertyInData)(gen,data,prop2,opts.ownProperties),()=>cxt.error())})}function loopUntilMissing(missing,valid2){cxt.setParams({missingProperty:missing}),gen.forOf(missing,schemaCode,()=>{gen.assign(valid2,(0,code_1.propertyInData)(gen,data,missing,opts.ownProperties)),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(),gen.break()})},codegen_1.nil)}}};return required$2.default=def,required$2}var limitItems$1={},
+hasRequiredLimitItems$1;function requireLimitItems$1(){if(hasRequiredLimitItems$1)return limitItems$1;hasRequiredLimitItems$1=1,Object.defineProperty(limitItems$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:["maxItems","minItems"],type:"array",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxItems"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} items`},params:({schemaCode})=>(0,codegen_1.
+_)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxItems"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`${data}.length ${op2} ${schemaCode}`)}};return limitItems$1.default=def,limitItems$1}var uniqueItems$1={},equal$1={},hasRequiredEqual$1;function requireEqual$1(){if(hasRequiredEqual$1)return equal$1;hasRequiredEqual$1=1,Object.defineProperty(equal$1,"__esModule",{value:!0});const equal2=requireFastDeepEqual();return equal2.
+code='require("ajv/dist/runtime/equal").default',equal$1.default=equal2,equal$1}var hasRequiredUniqueItems$1;function requireUniqueItems$1(){if(hasRequiredUniqueItems$1)return uniqueItems$1;hasRequiredUniqueItems$1=1,Object.defineProperty(uniqueItems$1,"__esModule",{value:!0});const dataType_1=requireDataType$1(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),equal_1=requireEqual$1(),def={keyword:"uniqueItems",type:"array",schemaType:"boolean",$data:!0,error:{message:({params:{i,j}})=>(0,codegen_1.
+str)`must NOT have duplicate items (items ## ${j} and ${i} are identical)`,params:({params:{i,j}})=>(0,codegen_1._)`{i: ${i}, j: ${j}}`},code(cxt){const{gen,data,$data,schema,parentSchema,schemaCode,it}=cxt;if(!$data&&!schema)return;const valid2=gen.let("valid"),itemTypes=parentSchema.items?(0,dataType_1.getSchemaTypes)(parentSchema.items):[];cxt.block$data(valid2,validateUniqueItems,(0,codegen_1._)`${schemaCode} === false`),cxt.ok(valid2);function validateUniqueItems(){const i=gen.let("i",(0,codegen_1.
+_)`${data}.length`),j=gen.let("j");cxt.setParams({i,j}),gen.assign(valid2,!0),gen.if((0,codegen_1._)`${i} > 1`,()=>(canOptimize()?loopN:loopN2)(i,j))}function canOptimize(){return itemTypes.length>0&&!itemTypes.some(t=>t==="object"||t==="array")}function loopN(i,j){const item=gen.name("item"),wrongType=(0,dataType_1.checkDataTypes)(itemTypes,item,it.opts.strictNumbers,dataType_1.DataType.Wrong),indices=gen.const("indices",(0,codegen_1._)`{}`);gen.for((0,codegen_1._)`;${i}--;`,()=>{gen.let(item,(0,codegen_1.
+_)`${data}[${i}]`),gen.if(wrongType,(0,codegen_1._)`continue`),itemTypes.length>1&&gen.if((0,codegen_1._)`typeof ${item} == "string"`,(0,codegen_1._)`${item} += "_"`),gen.if((0,codegen_1._)`typeof ${indices}[${item}] == "number"`,()=>{gen.assign(j,(0,codegen_1._)`${indices}[${item}]`),cxt.error(),gen.assign(valid2,!1).break()}).code((0,codegen_1._)`${indices}[${item}] = ${i}`)})}function loopN2(i,j){const eql=(0,util_1.useFunc)(gen,equal_1.default),outer=gen.name("outer");gen.label(outer).for((0,codegen_1.
+_)`;${i}--;`,()=>gen.for((0,codegen_1._)`${j} = ${i}; ${j}--;`,()=>gen.if((0,codegen_1._)`${eql}(${data}[${i}], ${data}[${j}])`,()=>{cxt.error(),gen.assign(valid2,!1).break(outer)})))}}};return uniqueItems$1.default=def,uniqueItems$1}var _const$1={},hasRequired_const$1;function require_const$1(){if(hasRequired_const$1)return _const$1;hasRequired_const$1=1,Object.defineProperty(_const$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),equal_1=requireEqual$1(),def={
+keyword:"const",$data:!0,error:{message:"must be equal to constant",params:({schemaCode})=>(0,codegen_1._)`{allowedValue: ${schemaCode}}`},code(cxt){const{gen,data,$data,schemaCode,schema}=cxt;$data||schema&&typeof schema=="object"?cxt.fail$data((0,codegen_1._)`!${(0,util_1.useFunc)(gen,equal_1.default)}(${data}, ${schemaCode})`):cxt.fail((0,codegen_1._)`${schema} !== ${data}`)}};return _const$1.default=def,_const$1}var _enum$1={},hasRequired_enum$1;function require_enum$1(){if(hasRequired_enum$1)
+return _enum$1;hasRequired_enum$1=1,Object.defineProperty(_enum$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),equal_1=requireEqual$1(),def={keyword:"enum",schemaType:"array",$data:!0,error:{message:"must be equal to one of the allowed values",params:({schemaCode})=>(0,codegen_1._)`{allowedValues: ${schemaCode}}`},code(cxt){const{gen,data,$data,schema,schemaCode,it}=cxt;if(!$data&&schema.length===0)throw new Error("enum must have non-empty array");const useLoop=schema.
+length>=it.opts.loopEnum;let eql;const getEql=()=>eql??(eql=(0,util_1.useFunc)(gen,equal_1.default));let valid2;if(useLoop||$data)valid2=gen.let("valid"),cxt.block$data(valid2,loopEnum);else{if(!Array.isArray(schema))throw new Error("ajv implementation error");const vSchema=gen.const("vSchema",schemaCode);valid2=(0,codegen_1.or)(...schema.map((_x,i)=>equalCode(vSchema,i)))}cxt.pass(valid2);function loopEnum(){gen.assign(valid2,!1),gen.forOf("v",schemaCode,v=>gen.if((0,codegen_1._)`${getEql()}(${data}, ${v})`,
+()=>gen.assign(valid2,!0).break()))}function equalCode(vSchema,i){const sch=schema[i];return typeof sch=="object"&&sch!==null?(0,codegen_1._)`${getEql()}(${data}, ${vSchema}[${i}])`:(0,codegen_1._)`${data} === ${sch}`}}};return _enum$1.default=def,_enum$1}var hasRequiredValidation$1;function requireValidation$1(){if(hasRequiredValidation$1)return validation$1;hasRequiredValidation$1=1,Object.defineProperty(validation$1,"__esModule",{value:!0});const limitNumber_1=requireLimitNumber$1(),multipleOf_1=requireMultipleOf$1(),
+limitLength_1=requireLimitLength$1(),pattern_1=requirePattern$1(),limitProperties_1=requireLimitProperties$1(),required_1=requireRequired$1(),limitItems_1=requireLimitItems$1(),uniqueItems_1=requireUniqueItems$1(),const_1=require_const$1(),enum_1=require_enum$1(),validation2=[limitNumber_1.default,multipleOf_1.default,limitLength_1.default,pattern_1.default,limitProperties_1.default,required_1.default,limitItems_1.default,uniqueItems_1.default,{keyword:"type",schemaType:["string","array"]},{keyword:"\
+nullable",schemaType:"boolean"},const_1.default,enum_1.default];return validation$1.default=validation2,validation$1}var applicator$1={},additionalItems$1={},hasRequiredAdditionalItems$1;function requireAdditionalItems$1(){if(hasRequiredAdditionalItems$1)return additionalItems$1;hasRequiredAdditionalItems$1=1,Object.defineProperty(additionalItems$1,"__esModule",{value:!0}),additionalItems$1.validateAdditionalItems=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"add\
+itionalItems",type:"array",schemaType:["boolean","object"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{parentSchema,it}=cxt,{items:items2}=parentSchema;if(!Array.isArray(items2)){(0,util_1.checkStrictMode)(it,'"additionalItems" is ignored when "items" is not an array of schemas');return}validateAdditionalItems(cxt,items2)}};function validateAdditionalItems(cxt,items2){
+const{gen,schema,data,keyword:keyword2,it}=cxt;it.items=!0;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(schema===!1)cxt.setParams({len:items2.length}),cxt.pass((0,codegen_1._)`${len} <= ${items2.length}`);else if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.var("valid",(0,codegen_1._)`${len} <= ${items2.length}`);gen.if((0,codegen_1.not)(valid2),()=>validateItems(valid2)),cxt.ok(valid2)}function validateItems(valid2){gen.forRange("i",items2.
+length,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),it.allErrors||gen.if((0,codegen_1.not)(valid2),()=>gen.break())})}}return additionalItems$1.validateAdditionalItems=validateAdditionalItems,additionalItems$1.default=def,additionalItems$1}var prefixItems$1={},items$1={},hasRequiredItems$1;function requireItems$1(){if(hasRequiredItems$1)return items$1;hasRequiredItems$1=1,Object.defineProperty(items$1,"__esModule",{value:!0}),items$1.validateTuple=void 0;
+const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),code_1=requireCode$2(),def={keyword:"items",type:"array",schemaType:["object","array","boolean"],before:"uniqueItems",code(cxt){const{schema,it}=cxt;if(Array.isArray(schema))return validateTuple(cxt,"additionalItems",schema);it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&cxt.ok((0,code_1.validateArray)(cxt))}};function validateTuple(cxt,extraItems,schArr=cxt.schema){const{gen,parentSchema,data,keyword:keyword2,it}=cxt;checkStrictTuple(
+parentSchema),it.opts.unevaluated&&schArr.length&&it.items!==!0&&(it.items=util_1.mergeEvaluated.items(gen,schArr.length,it.items));const valid2=gen.name("valid"),len=gen.const("len",(0,codegen_1._)`${data}.length`);schArr.forEach((sch,i)=>{(0,util_1.alwaysValidSchema)(it,sch)||(gen.if((0,codegen_1._)`${len} > ${i}`,()=>cxt.subschema({keyword:keyword2,schemaProp:i,dataProp:i},valid2)),cxt.ok(valid2))});function checkStrictTuple(sch){const{opts,errSchemaPath}=it,l=schArr.length,fullTuple=l===sch.
+minItems&&(l===sch.maxItems||sch[extraItems]===!1);if(opts.strictTuples&&!fullTuple){const msg=`"${keyword2}" is ${l}-tuple, but minItems or maxItems/${extraItems} are not specified or different at path "${errSchemaPath}"`;(0,util_1.checkStrictMode)(it,msg,opts.strictTuples)}}}return items$1.validateTuple=validateTuple,items$1.default=def,items$1}var hasRequiredPrefixItems$1;function requirePrefixItems$1(){if(hasRequiredPrefixItems$1)return prefixItems$1;hasRequiredPrefixItems$1=1,Object.defineProperty(
+prefixItems$1,"__esModule",{value:!0});const items_1=requireItems$1(),def={keyword:"prefixItems",type:"array",schemaType:["array"],before:"uniqueItems",code:cxt=>(0,items_1.validateTuple)(cxt,"items")};return prefixItems$1.default=def,prefixItems$1}var items2020$1={},hasRequiredItems2020$1;function requireItems2020$1(){if(hasRequiredItems2020$1)return items2020$1;hasRequiredItems2020$1=1,Object.defineProperty(items2020$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),
+code_1=requireCode$2(),additionalItems_1=requireAdditionalItems$1(),def={keyword:"items",type:"array",schemaType:["object","boolean"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{schema,parentSchema,it}=cxt,{prefixItems:prefixItems2}=parentSchema;it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&(prefixItems2?(0,additionalItems_1.validateAdditionalItems)(
+cxt,prefixItems2):cxt.ok((0,code_1.validateArray)(cxt)))}};return items2020$1.default=def,items2020$1}var contains$2={},hasRequiredContains$1;function requireContains$1(){if(hasRequiredContains$1)return contains$2;hasRequiredContains$1=1,Object.defineProperty(contains$2,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"contains",type:"array",schemaType:["object","boolean"],before:"uniqueItems",trackErrors:!0,error:{message:({params:{min:min2,max:max2}})=>max2===
+void 0?(0,codegen_1.str)`must contain at least ${min2} valid item(s)`:(0,codegen_1.str)`must contain at least ${min2} and no more than ${max2} valid item(s)`,params:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1._)`{minContains: ${min2}}`:(0,codegen_1._)`{minContains: ${min2}, maxContains: ${max2}}`},code(cxt){const{gen,schema,parentSchema,data,it}=cxt;let min2,max2;const{minContains,maxContains}=parentSchema;it.opts.next?(min2=minContains===void 0?1:minContains,max2=maxContains):min2=
+1;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(cxt.setParams({min:min2,max:max2}),max2===void 0&&min2===0){(0,util_1.checkStrictMode)(it,'"minContains" == 0 without "maxContains": "contains" keyword ignored');return}if(max2!==void 0&&min2>max2){(0,util_1.checkStrictMode)(it,'"minContains" > "maxContains" is always invalid'),cxt.fail();return}if((0,util_1.alwaysValidSchema)(it,schema)){let cond=(0,codegen_1._)`${len} >= ${min2}`;max2!==void 0&&(cond=(0,codegen_1._)`${cond} && ${len} <= ${max2}`),
+cxt.pass(cond);return}it.items=!0;const valid2=gen.name("valid");max2===void 0&&min2===1?validateItems(valid2,()=>gen.if(valid2,()=>gen.break())):min2===0?(gen.let(valid2,!0),max2!==void 0&&gen.if((0,codegen_1._)`${data}.length > 0`,validateItemsWithCount)):(gen.let(valid2,!1),validateItemsWithCount()),cxt.result(valid2,()=>cxt.reset());function validateItemsWithCount(){const schValid=gen.name("_valid"),count=gen.let("count",0);validateItems(schValid,()=>gen.if(schValid,()=>checkLimits(count)))}
+function validateItems(_valid,block2){gen.forRange("i",0,len,i=>{cxt.subschema({keyword:"contains",dataProp:i,dataPropType:util_1.Type.Num,compositeRule:!0},_valid),block2()})}function checkLimits(count){gen.code((0,codegen_1._)`${count}++`),max2===void 0?gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0).break()):(gen.if((0,codegen_1._)`${count} > ${max2}`,()=>gen.assign(valid2,!1).break()),min2===1?gen.assign(valid2,!0):gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(
+valid2,!0)))}}};return contains$2.default=def,contains$2}var dependencies$1={},hasRequiredDependencies$1;function requireDependencies$1(){return hasRequiredDependencies$1||(hasRequiredDependencies$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.validateSchemaDeps=exports$1.validatePropertyDeps=exports$1.error=void 0;const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),code_1=requireCode$2();exports$1.error={message:({params:{property,depsCount,deps}})=>{
+const property_ies=depsCount===1?"property":"properties";return(0,codegen_1.str)`must have ${property_ies} ${deps} when property ${property} is present`},params:({params:{property,depsCount,deps,missingProperty}})=>(0,codegen_1._)`{property: ${property},
+    missingProperty: ${missingProperty},
+    depsCount: ${depsCount},
+    deps: ${deps}}`};const def={keyword:"dependencies",type:"object",schemaType:"object",error:exports$1.error,code(cxt){const[propDeps,schDeps]=splitDependencies(cxt);validatePropertyDeps(cxt,propDeps),validateSchemaDeps(cxt,schDeps)}};function splitDependencies({schema}){const propertyDeps={},schemaDeps={};for(const key2 in schema){if(key2==="__proto__")continue;const deps=Array.isArray(schema[key2])?propertyDeps:schemaDeps;deps[key2]=schema[key2]}return[propertyDeps,schemaDeps]}function validatePropertyDeps(cxt,propertyDeps=cxt.
+schema){const{gen,data,it}=cxt;if(Object.keys(propertyDeps).length===0)return;const missing=gen.let("missing");for(const prop2 in propertyDeps){const deps=propertyDeps[prop2];if(deps.length===0)continue;const hasProperty=(0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties);cxt.setParams({property:prop2,depsCount:deps.length,deps:deps.join(", ")}),it.allErrors?gen.if(hasProperty,()=>{for(const depProp of deps)(0,code_1.checkReportMissingProp)(cxt,depProp)}):(gen.if((0,codegen_1._)`${hasProperty} && (${(0,code_1.
+checkMissingProp)(cxt,deps,missing)})`),(0,code_1.reportMissingProp)(cxt,missing),gen.else())}}exports$1.validatePropertyDeps=validatePropertyDeps;function validateSchemaDeps(cxt,schemaDeps=cxt.schema){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");for(const prop2 in schemaDeps)(0,util_1.alwaysValidSchema)(it,schemaDeps[prop2])||(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties),()=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:prop2},valid2);cxt.
+mergeValidEvaluated(schCxt,valid2)},()=>gen.var(valid2,!0)),cxt.ok(valid2))}exports$1.validateSchemaDeps=validateSchemaDeps,exports$1.default=def})(dependencies$1)),dependencies$1}var propertyNames$1={},hasRequiredPropertyNames$1;function requirePropertyNames$1(){if(hasRequiredPropertyNames$1)return propertyNames$1;hasRequiredPropertyNames$1=1,Object.defineProperty(propertyNames$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"propertyNames",type:"\
+object",schemaType:["object","boolean"],error:{message:"property name must be valid",params:({params})=>(0,codegen_1._)`{propertyName: ${params.propertyName}}`},code(cxt){const{gen,schema,data,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema))return;const valid2=gen.name("valid");gen.forIn("key",data,key2=>{cxt.setParams({propertyName:key2}),cxt.subschema({keyword:"propertyNames",data:key2,dataTypes:["string"],propertyName:key2,compositeRule:!0},valid2),gen.if((0,codegen_1.not)(valid2),()=>{cxt.
+error(!0),it.allErrors||gen.break()})}),cxt.ok(valid2)}};return propertyNames$1.default=def,propertyNames$1}var additionalProperties$2={},hasRequiredAdditionalProperties$1;function requireAdditionalProperties$1(){if(hasRequiredAdditionalProperties$1)return additionalProperties$2;hasRequiredAdditionalProperties$1=1,Object.defineProperty(additionalProperties$2,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),names_1=requireNames$1(),util_1=requireUtil$1(),def={keyword:"\
+additionalProperties",type:["object"],schemaType:["boolean","object"],allowUndefined:!0,trackErrors:!0,error:{message:"must NOT have additional properties",params:({params})=>(0,codegen_1._)`{additionalProperty: ${params.additionalProperty}}`},code(cxt){const{gen,schema,parentSchema,data,errsCount,it}=cxt;if(!errsCount)throw new Error("ajv implementation error");const{allErrors,opts}=it;if(it.props=!0,opts.removeAdditional!=="all"&&(0,util_1.alwaysValidSchema)(it,schema))return;const props=(0,code_1.
+allSchemaProperties)(parentSchema.properties),patProps=(0,code_1.allSchemaProperties)(parentSchema.patternProperties);checkAdditionalProperties(),cxt.ok((0,codegen_1._)`${errsCount} === ${names_1.default.errors}`);function checkAdditionalProperties(){gen.forIn("key",data,key2=>{!props.length&&!patProps.length?additionalPropertyCode(key2):gen.if(isAdditional(key2),()=>additionalPropertyCode(key2))})}function isAdditional(key2){let definedProp;if(props.length>8){const propsSchema=(0,util_1.schemaRefOrVal)(
+it,parentSchema.properties,"properties");definedProp=(0,code_1.isOwnProperty)(gen,propsSchema,key2)}else props.length?definedProp=(0,codegen_1.or)(...props.map(p2=>(0,codegen_1._)`${key2} === ${p2}`)):definedProp=codegen_1.nil;return patProps.length&&(definedProp=(0,codegen_1.or)(definedProp,...patProps.map(p2=>(0,codegen_1._)`${(0,code_1.usePattern)(cxt,p2)}.test(${key2})`))),(0,codegen_1.not)(definedProp)}function deleteAdditional(key2){gen.code((0,codegen_1._)`delete ${data}[${key2}]`)}function additionalPropertyCode(key2){
+if(opts.removeAdditional==="all"||opts.removeAdditional&&schema===!1){deleteAdditional(key2);return}if(schema===!1){cxt.setParams({additionalProperty:key2}),cxt.error(),allErrors||gen.break();return}if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.name("valid");opts.removeAdditional==="failing"?(applyAdditionalSchema(key2,valid2,!1),gen.if((0,codegen_1.not)(valid2),()=>{cxt.reset(),deleteAdditional(key2)})):(applyAdditionalSchema(key2,valid2),allErrors||gen.
+if((0,codegen_1.not)(valid2),()=>gen.break()))}}function applyAdditionalSchema(key2,valid2,errors2){const subschema2={keyword:"additionalProperties",dataProp:key2,dataPropType:util_1.Type.Str};errors2===!1&&Object.assign(subschema2,{compositeRule:!0,createErrors:!1,allErrors:!1}),cxt.subschema(subschema2,valid2)}}};return additionalProperties$2.default=def,additionalProperties$2}var properties$5={},hasRequiredProperties$1;function requireProperties$1(){if(hasRequiredProperties$1)return properties$5;
+hasRequiredProperties$1=1,Object.defineProperty(properties$5,"__esModule",{value:!0});const validate_1=requireValidate$1(),code_1=requireCode$2(),util_1=requireUtil$1(),additionalProperties_1=requireAdditionalProperties$1(),def={keyword:"properties",type:"object",schemaType:"object",code(cxt){const{gen,schema,parentSchema,data,it}=cxt;it.opts.removeAdditional==="all"&&parentSchema.additionalProperties===void 0&&additionalProperties_1.default.code(new validate_1.KeywordCxt(it,additionalProperties_1.
+default,"additionalProperties"));const allProps=(0,code_1.allSchemaProperties)(schema);for(const prop2 of allProps)it.definedProperties.add(prop2);it.opts.unevaluated&&allProps.length&&it.props!==!0&&(it.props=util_1.mergeEvaluated.props(gen,(0,util_1.toHash)(allProps),it.props));const properties2=allProps.filter(p2=>!(0,util_1.alwaysValidSchema)(it,schema[p2]));if(properties2.length===0)return;const valid2=gen.name("valid");for(const prop2 of properties2)hasDefault(prop2)?applyPropertySchema(prop2):
+(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties)),applyPropertySchema(prop2),it.allErrors||gen.else().var(valid2,!0),gen.endIf()),cxt.it.definedProperties.add(prop2),cxt.ok(valid2);function hasDefault(prop2){return it.opts.useDefaults&&!it.compositeRule&&schema[prop2].default!==void 0}function applyPropertySchema(prop2){cxt.subschema({keyword:"properties",schemaProp:prop2,dataProp:prop2},valid2)}}};return properties$5.default=def,properties$5}var patternProperties$1={},hasRequiredPatternProperties$1;
+function requirePatternProperties$1(){if(hasRequiredPatternProperties$1)return patternProperties$1;hasRequiredPatternProperties$1=1,Object.defineProperty(patternProperties$1,"__esModule",{value:!0});const code_1=requireCode$2(),codegen_1=requireCodegen$1(),util_1=requireUtil$1(),util_2=requireUtil$1(),def={keyword:"patternProperties",type:"object",schemaType:"object",code(cxt){const{gen,schema,data,parentSchema,it}=cxt,{opts}=it,patterns=(0,code_1.allSchemaProperties)(schema),alwaysValidPatterns=patterns.
+filter(p2=>(0,util_1.alwaysValidSchema)(it,schema[p2]));if(patterns.length===0||alwaysValidPatterns.length===patterns.length&&(!it.opts.unevaluated||it.props===!0))return;const checkProperties=opts.strictSchema&&!opts.allowMatchingProperties&&parentSchema.properties,valid2=gen.name("valid");it.props!==!0&&!(it.props instanceof codegen_1.Name)&&(it.props=(0,util_2.evaluatedPropsToName)(gen,it.props));const{props}=it;validatePatternProperties();function validatePatternProperties(){for(const pat of patterns)
+checkProperties&&checkMatchingProperties(pat),it.allErrors?validateProperties(pat):(gen.var(valid2,!0),validateProperties(pat),gen.if(valid2))}function checkMatchingProperties(pat){for(const prop2 in checkProperties)new RegExp(pat).test(prop2)&&(0,util_1.checkStrictMode)(it,`property ${prop2} matches pattern ${pat} (use allowMatchingProperties)`)}function validateProperties(pat){gen.forIn("key",data,key2=>{gen.if((0,codegen_1._)`${(0,code_1.usePattern)(cxt,pat)}.test(${key2})`,()=>{const alwaysValid=alwaysValidPatterns.
+includes(pat);alwaysValid||cxt.subschema({keyword:"patternProperties",schemaProp:pat,dataProp:key2,dataPropType:util_2.Type.Str},valid2),it.opts.unevaluated&&props!==!0?gen.assign((0,codegen_1._)`${props}[${key2}]`,!0):!alwaysValid&&!it.allErrors&&gen.if((0,codegen_1.not)(valid2),()=>gen.break())})})}}};return patternProperties$1.default=def,patternProperties$1}var not$1={},hasRequiredNot$1;function requireNot$1(){if(hasRequiredNot$1)return not$1;hasRequiredNot$1=1,Object.defineProperty(not$1,"_\
+_esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:"not",schemaType:["object","boolean"],trackErrors:!0,code(cxt){const{gen,schema,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema)){cxt.fail();return}const valid2=gen.name("valid");cxt.subschema({keyword:"not",compositeRule:!0,createErrors:!1,allErrors:!1},valid2),cxt.failResult(valid2,()=>cxt.reset(),()=>cxt.error())},error:{message:"must NOT be valid"}};return not$1.default=def,not$1}var anyOf$1={},hasRequiredAnyOf$1;function requireAnyOf$1(){
+if(hasRequiredAnyOf$1)return anyOf$1;hasRequiredAnyOf$1=1,Object.defineProperty(anyOf$1,"__esModule",{value:!0});const def={keyword:"anyOf",schemaType:"array",trackErrors:!0,code:requireCode$2().validateUnion,error:{message:"must match a schema in anyOf"}};return anyOf$1.default=def,anyOf$1}var oneOf$1={},hasRequiredOneOf$1;function requireOneOf$1(){if(hasRequiredOneOf$1)return oneOf$1;hasRequiredOneOf$1=1,Object.defineProperty(oneOf$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),
+util_1=requireUtil$1(),def={keyword:"oneOf",schemaType:"array",trackErrors:!0,error:{message:"must match exactly one schema in oneOf",params:({params})=>(0,codegen_1._)`{passingSchemas: ${params.passing}}`},code(cxt){const{gen,schema,parentSchema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(it.opts.discriminator&&parentSchema.discriminator)return;const schArr=schema,valid2=gen.let("valid",!1),passing=gen.let("passing",null),schValid=gen.name("_valid");cxt.setParams(
+{passing}),gen.block(validateOneOf),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0));function validateOneOf(){schArr.forEach((sch,i)=>{let schCxt;(0,util_1.alwaysValidSchema)(it,sch)?gen.var(schValid,!0):schCxt=cxt.subschema({keyword:"oneOf",schemaProp:i,compositeRule:!0},schValid),i>0&&gen.if((0,codegen_1._)`${schValid} && ${valid2}`).assign(valid2,!1).assign(passing,(0,codegen_1._)`[${passing}, ${i}]`).else(),gen.if(schValid,()=>{gen.assign(valid2,!0),gen.assign(passing,i),schCxt&&cxt.mergeEvaluated(
+schCxt,codegen_1.Name)})})}}};return oneOf$1.default=def,oneOf$1}var allOf$1={},hasRequiredAllOf$1;function requireAllOf$1(){if(hasRequiredAllOf$1)return allOf$1;hasRequiredAllOf$1=1,Object.defineProperty(allOf$1,"__esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:"allOf",schemaType:"array",code(cxt){const{gen,schema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");const valid2=gen.name("valid");schema.forEach((sch,i)=>{if((0,util_1.alwaysValidSchema)(
+it,sch))return;const schCxt=cxt.subschema({keyword:"allOf",schemaProp:i},valid2);cxt.ok(valid2),cxt.mergeEvaluated(schCxt)})}};return allOf$1.default=def,allOf$1}var _if$1={},hasRequired_if$1;function require_if$1(){if(hasRequired_if$1)return _if$1;hasRequired_if$1=1,Object.defineProperty(_if$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),util_1=requireUtil$1(),def={keyword:"if",schemaType:["object","boolean"],trackErrors:!0,error:{message:({params})=>(0,codegen_1.str)`must match "${params.
+ifClause}" schema`,params:({params})=>(0,codegen_1._)`{failingKeyword: ${params.ifClause}}`},code(cxt){const{gen,parentSchema,it}=cxt;parentSchema.then===void 0&&parentSchema.else===void 0&&(0,util_1.checkStrictMode)(it,'"if" without "then" and "else" is ignored');const hasThen=hasSchema(it,"then"),hasElse=hasSchema(it,"else");if(!hasThen&&!hasElse)return;const valid2=gen.let("valid",!0),schValid=gen.name("_valid");if(validateIf(),cxt.reset(),hasThen&&hasElse){const ifClause=gen.let("ifClause");
+cxt.setParams({ifClause}),gen.if(schValid,validateClause("then",ifClause),validateClause("else",ifClause))}else hasThen?gen.if(schValid,validateClause("then")):gen.if((0,codegen_1.not)(schValid),validateClause("else"));cxt.pass(valid2,()=>cxt.error(!0));function validateIf(){const schCxt=cxt.subschema({keyword:"if",compositeRule:!0,createErrors:!1,allErrors:!1},schValid);cxt.mergeEvaluated(schCxt)}function validateClause(keyword2,ifClause){return()=>{const schCxt=cxt.subschema({keyword:keyword2},
+schValid);gen.assign(valid2,schValid),cxt.mergeValidEvaluated(schCxt,valid2),ifClause?gen.assign(ifClause,(0,codegen_1._)`${keyword2}`):cxt.setParams({ifClause:keyword2})}}}};function hasSchema(it,keyword2){const schema=it.schema[keyword2];return schema!==void 0&&!(0,util_1.alwaysValidSchema)(it,schema)}return _if$1.default=def,_if$1}var thenElse$1={},hasRequiredThenElse$1;function requireThenElse$1(){if(hasRequiredThenElse$1)return thenElse$1;hasRequiredThenElse$1=1,Object.defineProperty(thenElse$1,
+"__esModule",{value:!0});const util_1=requireUtil$1(),def={keyword:["then","else"],schemaType:["object","boolean"],code({keyword:keyword2,parentSchema,it}){parentSchema.if===void 0&&(0,util_1.checkStrictMode)(it,`"${keyword2}" without "if" is ignored`)}};return thenElse$1.default=def,thenElse$1}var hasRequiredApplicator$1;function requireApplicator$1(){if(hasRequiredApplicator$1)return applicator$1;hasRequiredApplicator$1=1,Object.defineProperty(applicator$1,"__esModule",{value:!0});const additionalItems_1=requireAdditionalItems$1(),
+prefixItems_1=requirePrefixItems$1(),items_1=requireItems$1(),items2020_1=requireItems2020$1(),contains_1=requireContains$1(),dependencies_1=requireDependencies$1(),propertyNames_1=requirePropertyNames$1(),additionalProperties_1=requireAdditionalProperties$1(),properties_12=requireProperties$1(),patternProperties_1=requirePatternProperties$1(),not_1=requireNot$1(),anyOf_1=requireAnyOf$1(),oneOf_1=requireOneOf$1(),allOf_1=requireAllOf$1(),if_1=require_if$1(),thenElse_1=requireThenElse$1();function getApplicator(draft2020=!1){
+const applicator2=[not_1.default,anyOf_1.default,oneOf_1.default,allOf_1.default,if_1.default,thenElse_1.default,propertyNames_1.default,additionalProperties_1.default,dependencies_1.default,properties_12.default,patternProperties_1.default];return draft2020?applicator2.push(prefixItems_1.default,items2020_1.default):applicator2.push(additionalItems_1.default,items_1.default),applicator2.push(contains_1.default),applicator2}return applicator$1.default=getApplicator,applicator$1}var format$3={},format$2={},
+hasRequiredFormat$3;function requireFormat$3(){if(hasRequiredFormat$3)return format$2;hasRequiredFormat$3=1,Object.defineProperty(format$2,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),def={keyword:"format",type:["number","string"],schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match format "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{format: ${schemaCode}}`},code(cxt,ruleType){const{gen,data,$data,schema,schemaCode,it}=cxt,{opts,errSchemaPath,
+schemaEnv,self:self2}=it;if(!opts.validateFormats)return;$data?validate$DataFormat():validateFormat();function validate$DataFormat(){const fmts=gen.scopeValue("formats",{ref:self2.formats,code:opts.code.formats}),fDef=gen.const("fDef",(0,codegen_1._)`${fmts}[${schemaCode}]`),fType=gen.let("fType"),format2=gen.let("format");gen.if((0,codegen_1._)`typeof ${fDef} == "object" && !(${fDef} instanceof RegExp)`,()=>gen.assign(fType,(0,codegen_1._)`${fDef}.type || "string"`).assign(format2,(0,codegen_1.
+_)`${fDef}.validate`),()=>gen.assign(fType,(0,codegen_1._)`"string"`).assign(format2,fDef)),cxt.fail$data((0,codegen_1.or)(unknownFmt(),invalidFmt()));function unknownFmt(){return opts.strictSchema===!1?codegen_1.nil:(0,codegen_1._)`${schemaCode} && !${format2}`}function invalidFmt(){const callFormat=schemaEnv.$async?(0,codegen_1._)`(${fDef}.async ? await ${format2}(${data}) : ${format2}(${data}))`:(0,codegen_1._)`${format2}(${data})`,validData=(0,codegen_1._)`(typeof ${format2} == "function" ? ${callFormat} : ${format2}.test(${data}))`;
+return(0,codegen_1._)`${format2} && ${format2} !== true && ${fType} === ${ruleType} && !${validData}`}}function validateFormat(){const formatDef=self2.formats[schema];if(!formatDef){unknownFormat();return}if(formatDef===!0)return;const[fmtType,format2,fmtRef]=getFormat(formatDef);fmtType===ruleType&&cxt.pass(validCondition());function unknownFormat(){if(opts.strictSchema===!1){self2.logger.warn(unknownMsg());return}throw new Error(unknownMsg());function unknownMsg(){return`unknown format "${schema}\
+" ignored in schema at path "${errSchemaPath}"`}}function getFormat(fmtDef){const code2=fmtDef instanceof RegExp?(0,codegen_1.regexpCode)(fmtDef):opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(schema)}`:void 0,fmt=gen.scopeValue("formats",{key:schema,ref:fmtDef,code:code2});return typeof fmtDef=="object"&&!(fmtDef instanceof RegExp)?[fmtDef.type||"string",fmtDef.validate,(0,codegen_1._)`${fmt}.validate`]:["string",fmtDef,fmt]}function validCondition(){if(typeof formatDef==
+"object"&&!(formatDef instanceof RegExp)&&formatDef.async){if(!schemaEnv.$async)throw new Error("async format in sync schema");return(0,codegen_1._)`await ${fmtRef}(${data})`}return typeof format2=="function"?(0,codegen_1._)`${fmtRef}(${data})`:(0,codegen_1._)`${fmtRef}.test(${data})`}}}};return format$2.default=def,format$2}var hasRequiredFormat$2;function requireFormat$2(){if(hasRequiredFormat$2)return format$3;hasRequiredFormat$2=1,Object.defineProperty(format$3,"__esModule",{value:!0});const format2=[
+requireFormat$3().default];return format$3.default=format2,format$3}var metadata$1={},hasRequiredMetadata$1;function requireMetadata$1(){return hasRequiredMetadata$1||(hasRequiredMetadata$1=1,Object.defineProperty(metadata$1,"__esModule",{value:!0}),metadata$1.contentVocabulary=metadata$1.metadataVocabulary=void 0,metadata$1.metadataVocabulary=["title","description","default","deprecated","readOnly","writeOnly","examples"],metadata$1.contentVocabulary=["contentMediaType","contentEncoding","conte\
+ntSchema"]),metadata$1}var hasRequiredDraft7$1;function requireDraft7$1(){if(hasRequiredDraft7$1)return draft7$1;hasRequiredDraft7$1=1,Object.defineProperty(draft7$1,"__esModule",{value:!0});const core_1=requireCore$2(),validation_1=requireValidation$1(),applicator_1=requireApplicator$1(),format_1=requireFormat$2(),metadata_1=requireMetadata$1(),draft7Vocabularies=[core_1.default,validation_1.default,(0,applicator_1.default)(),format_1.default,metadata_1.metadataVocabulary,metadata_1.contentVocabulary];
+return draft7$1.default=draft7Vocabularies,draft7$1}var discriminator$1={},types$2={},hasRequiredTypes$1;function requireTypes$1(){if(hasRequiredTypes$1)return types$2;hasRequiredTypes$1=1,Object.defineProperty(types$2,"__esModule",{value:!0}),types$2.DiscrError=void 0;var DiscrError;return(function(DiscrError2){DiscrError2.Tag="tag",DiscrError2.Mapping="mapping"})(DiscrError||(types$2.DiscrError=DiscrError={})),types$2}var hasRequiredDiscriminator$1;function requireDiscriminator$1(){if(hasRequiredDiscriminator$1)
+return discriminator$1;hasRequiredDiscriminator$1=1,Object.defineProperty(discriminator$1,"__esModule",{value:!0});const codegen_1=requireCodegen$1(),types_1=requireTypes$1(),compile_1=requireCompile$1(),ref_error_1=requireRef_error$1(),util_1=requireUtil$1(),def={keyword:"discriminator",type:"object",schemaType:"object",error:{message:({params:{discrError,tagName}})=>discrError===types_1.DiscrError.Tag?`tag "${tagName}" must be string`:`value of tag "${tagName}" must be in oneOf`,params:({params:{
+discrError,tag,tagName}})=>(0,codegen_1._)`{error: ${discrError}, tag: ${tagName}, tagValue: ${tag}}`},code(cxt){const{gen,data,schema,parentSchema,it}=cxt,{oneOf:oneOf2}=parentSchema;if(!it.opts.discriminator)throw new Error("discriminator: requires discriminator option");const tagName=schema.propertyName;if(typeof tagName!="string")throw new Error("discriminator: requires propertyName");if(schema.mapping)throw new Error("discriminator: mapping is not supported");if(!oneOf2)throw new Error("dis\
+criminator: requires oneOf keyword");const valid2=gen.let("valid",!1),tag=gen.const("tag",(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(tagName)}`);gen.if((0,codegen_1._)`typeof ${tag} == "string"`,()=>validateMapping(),()=>cxt.error(!1,{discrError:types_1.DiscrError.Tag,tag,tagName})),cxt.ok(valid2);function validateMapping(){const mapping=getMapping();gen.if(!1);for(const tagValue in mapping)gen.elseIf((0,codegen_1._)`${tag} === ${tagValue}`),gen.assign(valid2,applyTagSchema(mapping[tagValue]));
+gen.else(),cxt.error(!1,{discrError:types_1.DiscrError.Mapping,tag,tagName}),gen.endIf()}function applyTagSchema(schemaProp){const _valid=gen.name("valid"),schCxt=cxt.subschema({keyword:"oneOf",schemaProp},_valid);return cxt.mergeEvaluated(schCxt,codegen_1.Name),_valid}function getMapping(){var _a2;const oneOfMapping={},topRequired=hasRequired(parentSchema);let tagRequired=!0;for(let i=0;i<oneOf2.length;i++){let sch=oneOf2[i];if(sch?.$ref&&!(0,util_1.schemaHasRulesButRef)(sch,it.self.RULES)){const ref2=sch.
+$ref;if(sch=compile_1.resolveRef.call(it.self,it.schemaEnv.root,it.baseId,ref2),sch instanceof compile_1.SchemaEnv&&(sch=sch.schema),sch===void 0)throw new ref_error_1.default(it.opts.uriResolver,it.baseId,ref2)}const propSch=(_a2=sch?.properties)===null||_a2===void 0?void 0:_a2[tagName];if(typeof propSch!="object")throw new Error(`discriminator: oneOf subschemas (or referenced schemas) must have "properties/${tagName}"`);tagRequired=tagRequired&&(topRequired||hasRequired(sch)),addMappings(propSch,
+i)}if(!tagRequired)throw new Error(`discriminator: "${tagName}" must be required`);return oneOfMapping;function hasRequired({required:required2}){return Array.isArray(required2)&&required2.includes(tagName)}function addMappings(sch,i){if(sch.const)addMapping(sch.const,i);else if(sch.enum)for(const tagValue of sch.enum)addMapping(tagValue,i);else throw new Error(`discriminator: "properties/${tagName}" must have "const" or "enum"`)}function addMapping(tagValue,i){if(typeof tagValue!="string"||tagValue in
+oneOfMapping)throw new Error(`discriminator: "${tagName}" values must be unique strings`);oneOfMapping[tagValue]=i}}}};return discriminator$1.default=def,discriminator$1}const $schema$1="http://json-schema.org/draft-07/schema#",$id$2="http://json-schema.org/draft-07/schema#",title$1="Core schema meta-schema",definitions$1={schemaArray:{type:"array",minItems:1,items:{$ref:"#"}},nonNegativeInteger:{type:"integer",minimum:0},nonNegativeIntegerDefault0:{allOf:[{$ref:"#/definitions/nonNegativeInteger"},
+{default:0}]},simpleTypes:{enum:["array","boolean","integer","null","number","object","string"]},stringArray:{type:"array",items:{type:"string"},uniqueItems:!0,default:[]}},type$2=["object","boolean"],properties$4={$id:{type:"string",format:"uri-reference"},$schema:{type:"string",format:"uri"},$ref:{type:"string",format:"uri-reference"},$comment:{type:"string"},title:{type:"string"},description:{type:"string"},default:!0,readOnly:{type:"boolean",default:!1},examples:{type:"array",items:!0},multipleOf:{
+type:"number",exclusiveMinimum:0},maximum:{type:"number"},exclusiveMaximum:{type:"number"},minimum:{type:"number"},exclusiveMinimum:{type:"number"},maxLength:{$ref:"#/definitions/nonNegativeInteger"},minLength:{$ref:"#/definitions/nonNegativeIntegerDefault0"},pattern:{type:"string",format:"regex"},additionalItems:{$ref:"#"},items:{anyOf:[{$ref:"#"},{$ref:"#/definitions/schemaArray"}],default:!0},maxItems:{$ref:"#/definitions/nonNegativeInteger"},minItems:{$ref:"#/definitions/nonNegativeIntegerDe\
+fault0"},uniqueItems:{type:"boolean",default:!1},contains:{$ref:"#"},maxProperties:{$ref:"#/definitions/nonNegativeInteger"},minProperties:{$ref:"#/definitions/nonNegativeIntegerDefault0"},required:{$ref:"#/definitions/stringArray"},additionalProperties:{$ref:"#"},definitions:{type:"object",additionalProperties:{$ref:"#"},default:{}},properties:{type:"object",additionalProperties:{$ref:"#"},default:{}},patternProperties:{type:"object",additionalProperties:{$ref:"#"},propertyNames:{format:"regex"},
+default:{}},dependencies:{type:"object",additionalProperties:{anyOf:[{$ref:"#"},{$ref:"#/definitions/stringArray"}]}},propertyNames:{$ref:"#"},const:!0,enum:{type:"array",items:!0,minItems:1,uniqueItems:!0},type:{anyOf:[{$ref:"#/definitions/simpleTypes"},{type:"array",items:{$ref:"#/definitions/simpleTypes"},minItems:1,uniqueItems:!0}]},format:{type:"string"},contentMediaType:{type:"string"},contentEncoding:{type:"string"},if:{$ref:"#"},then:{$ref:"#"},else:{$ref:"#"},allOf:{$ref:"#/definitions/\
+schemaArray"},anyOf:{$ref:"#/definitions/schemaArray"},oneOf:{$ref:"#/definitions/schemaArray"},not:{$ref:"#"}},require$$3$1={$schema:$schema$1,$id:$id$2,title:title$1,definitions:definitions$1,type:type$2,properties:properties$4,default:!0};var hasRequiredAjv$1;function requireAjv$1(){return hasRequiredAjv$1||(hasRequiredAjv$1=1,(function(module,exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.MissingRefError=exports$1.ValidationError=exports$1.CodeGen=exports$1.Name=
+exports$1.nil=exports$1.stringify=exports$1.str=exports$1._=exports$1.KeywordCxt=exports$1.Ajv=void 0;const core_1=requireCore$3(),draft7_1=requireDraft7$1(),discriminator_1=requireDiscriminator$1(),draft7MetaSchema=require$$3$1,META_SUPPORT_DATA=["/properties"],META_SCHEMA_ID="http://json-schema.org/draft-07/schema";class Ajv2 extends core_1.default{_addVocabularies(){super._addVocabularies(),draft7_1.default.forEach(v=>this.addVocabulary(v)),this.opts.discriminator&&this.addKeyword(discriminator_1.
+default)}_addDefaultMetaSchema(){if(super._addDefaultMetaSchema(),!this.opts.meta)return;const metaSchema=this.opts.$data?this.$dataMetaSchema(draft7MetaSchema,META_SUPPORT_DATA):draft7MetaSchema;this.addMetaSchema(metaSchema,META_SCHEMA_ID,!1),this.refs["http://json-schema.org/schema"]=META_SCHEMA_ID}defaultMeta(){return this.opts.defaultMeta=super.defaultMeta()||(this.getSchema(META_SCHEMA_ID)?META_SCHEMA_ID:void 0)}}exports$1.Ajv=Ajv2,module.exports=exports$1=Ajv2,module.exports.Ajv=Ajv2,Object.
+defineProperty(exports$1,"__esModule",{value:!0}),exports$1.default=Ajv2;var validate_1=requireValidate$1();Object.defineProperty(exports$1,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen$1();Object.defineProperty(exports$1,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports$1,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){
+return codegen_1.stringify}}),Object.defineProperty(exports$1,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports$1,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});var validation_error_1=requireValidation_error$1();Object.defineProperty(exports$1,"ValidationError",{enumerable:!0,get:function(){return validation_error_1.default}});var ref_error_1=requireRef_error$1();
+Object.defineProperty(exports$1,"MissingRefError",{enumerable:!0,get:function(){return ref_error_1.default}})})(ajv$1,ajv$1.exports)),ajv$1.exports}var ajvExports=requireAjv$1();const Ajv=getDefaultExportFromCjs(ajvExports);var dist={exports:{}},formats={},hasRequiredFormats;function requireFormats(){return hasRequiredFormats||(hasRequiredFormats=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.formatNames=exports$1.fastFormats=exports$1.fullFormats=void 0;
+function fmtDef(validate2,compare){return{validate:validate2,compare}}exports$1.fullFormats={date:fmtDef(date2,compareDate),time:fmtDef(getTime(!0),compareTime),"date-time":fmtDef(getDateTime(!0),compareDateTime),"iso-time":fmtDef(getTime(),compareIsoTime),"iso-date-time":fmtDef(getDateTime(),compareIsoDateTime),duration:/^P(?!$)((\d+Y)?(\d+M)?(\d+D)?(T(?=\d)(\d+H)?(\d+M)?(\d+S)?)?|(\d+W)?)$/,uri:uri2,"uri-reference":/^(?:[a-z][a-z0-9+\-.]*:)?(?:\/?\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:]|%[0-9a-f]{2})*@)?(?:\[(?:(?:(?:(?:[0-9a-f]{1,4}:){6}|::(?:[0-9a-f]{1,4}:){5}|(?:[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){4}|(?:(?:[0-9a-f]{1,4}:){0,1}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){3}|(?:(?:[0-9a-f]{1,4}:){0,2}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){2}|(?:(?:[0-9a-f]{1,4}:){0,3}[0-9a-f]{1,4})?::[0-9a-f]{1,4}:|(?:(?:[0-9a-f]{1,4}:){0,4}[0-9a-f]{1,4})?::)(?:[0-9a-f]{1,4}:[0-9a-f]{1,4}|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?))|(?:(?:[0-9a-f]{1,4}:){0,5}[0-9a-f]{1,4})?::[0-9a-f]{1,4}|(?:(?:[0-9a-f]{1,4}:){0,6}[0-9a-f]{1,4})?::)|[Vv][0-9a-f]+\.[a-z0-9\-._~!$&'()*+,;=:]+)\]|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)|(?:[a-z0-9\-._~!$&'"()*+,;=]|%[0-9a-f]{2})*)(?::\d*)?(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*|\/(?:(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*)?|(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'"()*+,;=:@]|%[0-9a-f]{2})*)*)?(?:\?(?:[a-z0-9\-._~!$&'"()*+,;=:@/?]|%[0-9a-f]{2})*)?(?:#(?:[a-z0-9\-._~!$&'"()*+,;=:@/?]|%[0-9a-f]{2})*)?$/i,
+"uri-template":/^(?:(?:[^\x00-\x20"'<>%\\^`{|}]|%[0-9a-f]{2})|\{[+#./;?&=,!@|]?(?:[a-z0-9_]|%[0-9a-f]{2})+(?::[1-9][0-9]{0,3}|\*)?(?:,(?:[a-z0-9_]|%[0-9a-f]{2})+(?::[1-9][0-9]{0,3}|\*)?)*\})*$/i,url:/^(?:https?|ftp):\/\/(?:\S+(?::\S*)?@)?(?:(?!(?:10|127)(?:\.\d{1,3}){3})(?!(?:169\.254|192\.168)(?:\.\d{1,3}){2})(?!172\.(?:1[6-9]|2\d|3[0-1])(?:\.\d{1,3}){2})(?:[1-9]\d?|1\d\d|2[01]\d|22[0-3])(?:\.(?:1?\d{1,2}|2[0-4]\d|25[0-5])){2}(?:\.(?:[1-9]\d?|1\d\d|2[0-4]\d|25[0-4]))|(?:(?:[a-z0-9\u{00a1}-\u{ffff}]+-)*[a-z0-9\u{00a1}-\u{ffff}]+)(?:\.(?:[a-z0-9\u{00a1}-\u{ffff}]+-)*[a-z0-9\u{00a1}-\u{ffff}]+)*(?:\.(?:[a-z\u{00a1}-\u{ffff}]{2,})))(?::\d{2,5})?(?:\/[^\s]*)?$/iu,
+email:/^[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$/i,hostname:/^(?=.{1,253}\.?$)[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?(?:\.[a-z0-9](?:[-0-9a-z]{0,61}[0-9a-z])?)*\.?$/i,ipv4:/^(?:(?:25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)$/,ipv6:/^((([0-9a-f]{1,4}:){7}([0-9a-f]{1,4}|:))|(([0-9a-f]{1,4}:){6}(:[0-9a-f]{1,4}|((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9a-f]{1,4}:){5}(((:[0-9a-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9a-f]{1,4}:){4}(((:[0-9a-f]{1,4}){1,3})|((:[0-9a-f]{1,4})?:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){3}(((:[0-9a-f]{1,4}){1,4})|((:[0-9a-f]{1,4}){0,2}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){2}(((:[0-9a-f]{1,4}){1,5})|((:[0-9a-f]{1,4}){0,3}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9a-f]{1,4}:){1}(((:[0-9a-f]{1,4}){1,6})|((:[0-9a-f]{1,4}){0,4}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(:(((:[0-9a-f]{1,4}){1,7})|((:[0-9a-f]{1,4}){0,5}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:)))$/i,
+regex,uuid:/^(?:urn:uuid:)?[0-9a-f]{8}-(?:[0-9a-f]{4}-){3}[0-9a-f]{12}$/i,"json-pointer":/^(?:\/(?:[^~/]|~0|~1)*)*$/,"json-pointer-uri-fragment":/^#(?:\/(?:[a-z0-9_\-.!$&'()*+,;:=@]|%[0-9a-f]{2}|~0|~1)*)*$/i,"relative-json-pointer":/^(?:0|[1-9][0-9]*)(?:#|(?:\/(?:[^~/]|~0|~1)*)*)$/,byte,int32:{type:"number",validate:validateInt32},int64:{type:"number",validate:validateInt64},float:{type:"number",validate:validateNumber},double:{type:"number",validate:validateNumber},password:!0,binary:!0},exports$1.
+fastFormats={...exports$1.fullFormats,date:fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\d$/,compareDate),time:fmtDef(/^(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)$/i,compareTime),"date-time":fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\dt(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)$/i,compareDateTime),"iso-time":fmtDef(/^(?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)?$/i,compareIsoTime),"iso-date-time":fmtDef(/^\d\d\d\d-[0-1]\d-[0-3]\d[t\s](?:[0-2]\d:[0-5]\d:[0-5]\d|23:59:60)(?:\.\d+)?(?:z|[+-]\d\d(?::?\d\d)?)?$/i,
+compareIsoDateTime),uri:/^(?:[a-z][a-z0-9+\-.]*:)(?:\/?\/)?[^\s]*$/i,"uri-reference":/^(?:(?:[a-z][a-z0-9+\-.]*:)?\/?\/)?(?:[^\\\s#][^\s#]*)?(?:#[^\\\s]*)?$/i,email:/^[a-z0-9.!#$%&'*+/=?^_`{|}~-]+@[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?(?:\.[a-z0-9](?:[a-z0-9-]{0,61}[a-z0-9])?)*$/i},exports$1.formatNames=Object.keys(exports$1.fullFormats);function isLeapYear(year){return year%4===0&&(year%100!==0||year%400===0)}const DATE2=/^(\d\d\d\d)-(\d\d)-(\d\d)$/,DAYS=[0,31,28,31,30,31,30,31,31,30,31,30,31];function date2(str){
+const matches2=DATE2.exec(str);if(!matches2)return!1;const year=+matches2[1],month=+matches2[2],day=+matches2[3];return month>=1&&month<=12&&day>=1&&day<=(month===2&&isLeapYear(year)?29:DAYS[month])}function compareDate(d1,d2){if(d1&&d2)return d1>d2?1:d1<d2?-1:0}const TIME=/^(\d\d):(\d\d):(\d\d(?:\.\d+)?)(z|([+-])(\d\d)(?::?(\d\d))?)?$/i;function getTime(strictTimeZone){return function(str){const matches2=TIME.exec(str);if(!matches2)return!1;const hr=+matches2[1],min2=+matches2[2],sec=+matches2[3],
+tz=matches2[4],tzSign=matches2[5]==="-"?-1:1,tzH=+(matches2[6]||0),tzM=+(matches2[7]||0);if(tzH>23||tzM>59||strictTimeZone&&!tz)return!1;if(hr<=23&&min2<=59&&sec<60)return!0;const utcMin=min2-tzM*tzSign,utcHr=hr-tzH*tzSign-(utcMin<0?1:0);return(utcHr===23||utcHr===-1)&&(utcMin===59||utcMin===-1)&&sec<61}}function compareTime(s1,s2){if(!(s1&&s2))return;const t1=new Date("2020-01-01T"+s1).valueOf(),t2=new Date("2020-01-01T"+s2).valueOf();if(t1&&t2)return t1-t2}function compareIsoTime(t1,t2){if(!(t1&&
+t2))return;const a1=TIME.exec(t1),a2=TIME.exec(t2);if(a1&&a2)return t1=a1[1]+a1[2]+a1[3],t2=a2[1]+a2[2]+a2[3],t1>t2?1:t1<t2?-1:0}const DATE_TIME_SEPARATOR=/t|\s/i;function getDateTime(strictTimeZone){const time2=getTime(strictTimeZone);return function(str){const dateTime=str.split(DATE_TIME_SEPARATOR);return dateTime.length===2&&date2(dateTime[0])&&time2(dateTime[1])}}function compareDateTime(dt1,dt2){if(!(dt1&&dt2))return;const d1=new Date(dt1).valueOf(),d2=new Date(dt2).valueOf();if(d1&&d2)return d1-
+d2}function compareIsoDateTime(dt1,dt2){if(!(dt1&&dt2))return;const[d1,t1]=dt1.split(DATE_TIME_SEPARATOR),[d2,t2]=dt2.split(DATE_TIME_SEPARATOR),res=compareDate(d1,d2);if(res!==void 0)return res||compareTime(t1,t2)}const NOT_URI_FRAGMENT=/\/|:/,URI=/^(?:[a-z][a-z0-9+\-.]*:)(?:\/?\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:]|%[0-9a-f]{2})*@)?(?:\[(?:(?:(?:(?:[0-9a-f]{1,4}:){6}|::(?:[0-9a-f]{1,4}:){5}|(?:[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){4}|(?:(?:[0-9a-f]{1,4}:){0,1}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){3}|(?:(?:[0-9a-f]{1,4}:){0,2}[0-9a-f]{1,4})?::(?:[0-9a-f]{1,4}:){2}|(?:(?:[0-9a-f]{1,4}:){0,3}[0-9a-f]{1,4})?::[0-9a-f]{1,4}:|(?:(?:[0-9a-f]{1,4}:){0,4}[0-9a-f]{1,4})?::)(?:[0-9a-f]{1,4}:[0-9a-f]{1,4}|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?))|(?:(?:[0-9a-f]{1,4}:){0,5}[0-9a-f]{1,4})?::[0-9a-f]{1,4}|(?:(?:[0-9a-f]{1,4}:){0,6}[0-9a-f]{1,4})?::)|[Vv][0-9a-f]+\.[a-z0-9\-._~!$&'()*+,;=:]+)\]|(?:(?:25[0-5]|2[0-4]\d|[01]?\d\d?)\.){3}(?:25[0-5]|2[0-4]\d|[01]?\d\d?)|(?:[a-z0-9\-._~!$&'()*+,;=]|%[0-9a-f]{2})*)(?::\d*)?(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*|\/(?:(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*)?|(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})+(?:\/(?:[a-z0-9\-._~!$&'()*+,;=:@]|%[0-9a-f]{2})*)*)(?:\?(?:[a-z0-9\-._~!$&'()*+,;=:@/?]|%[0-9a-f]{2})*)?(?:#(?:[a-z0-9\-._~!$&'()*+,;=:@/?]|%[0-9a-f]{2})*)?$/i;
+function uri2(str){return NOT_URI_FRAGMENT.test(str)&&URI.test(str)}const BYTE=/^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/gm;function byte(str){return BYTE.lastIndex=0,BYTE.test(str)}const MIN_INT32=-2147483648,MAX_INT32=2**31-1;function validateInt32(value){return Number.isInteger(value)&&value<=MAX_INT32&&value>=MIN_INT32}function validateInt64(value){return Number.isInteger(value)}function validateNumber(){return!0}const Z_ANCHOR=/[^\\]\\Z/;function regex(str){if(Z_ANCHOR.
+test(str))return!1;try{return new RegExp(str),!0}catch{return!1}}})(formats)),formats}var limit={},ajv={exports:{}},core$2={},validate={},boolSchema={},errors={},codegen={},code$4={},hasRequiredCode$1;function requireCode$1(){return hasRequiredCode$1||(hasRequiredCode$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.regexpCode=exports$1.getEsmExportName=exports$1.getProperty=exports$1.safeStringify=exports$1.stringify=exports$1.strConcat=exports$1.addCodeArg=
+exports$1.str=exports$1._=exports$1.nil=exports$1._Code=exports$1.Name=exports$1.IDENTIFIER=exports$1._CodeOrName=void 0;class _CodeOrName{}exports$1._CodeOrName=_CodeOrName,exports$1.IDENTIFIER=/^[a-z$_][a-z$_0-9]*$/i;class Name extends _CodeOrName{constructor(s2){if(super(),!exports$1.IDENTIFIER.test(s2))throw new Error("CodeGen: name must be a valid identifier");this.str=s2}toString(){return this.str}emptyStr(){return!1}get names(){return{[this.str]:1}}}exports$1.Name=Name;class _Code extends _CodeOrName{constructor(code2){
+super(),this._items=typeof code2=="string"?[code2]:code2}toString(){return this.str}emptyStr(){if(this._items.length>1)return!1;const item=this._items[0];return item===""||item==='""'}get str(){var _a2;return(_a2=this._str)!==null&&_a2!==void 0?_a2:this._str=this._items.reduce((s2,c2)=>`${s2}${c2}`,"")}get names(){var _a2;return(_a2=this._names)!==null&&_a2!==void 0?_a2:this._names=this._items.reduce((names2,c2)=>(c2 instanceof Name&&(names2[c2.str]=(names2[c2.str]||0)+1),names2),{})}}exports$1.
+_Code=_Code,exports$1.nil=new _Code("");function _(strs,...args){const code2=[strs[0]];let i=0;for(;i<args.length;)addCodeArg(code2,args[i]),code2.push(strs[++i]);return new _Code(code2)}exports$1._=_;const plus=new _Code("+");function str(strs,...args){const expr=[safeStringify(strs[0])];let i=0;for(;i<args.length;)expr.push(plus),addCodeArg(expr,args[i]),expr.push(plus,safeStringify(strs[++i]));return optimize(expr),new _Code(expr)}exports$1.str=str;function addCodeArg(code2,arg){arg instanceof
+_Code?code2.push(...arg._items):arg instanceof Name?code2.push(arg):code2.push(interpolate(arg))}exports$1.addCodeArg=addCodeArg;function optimize(expr){let i=1;for(;i<expr.length-1;){if(expr[i]===plus){const res=mergeExprItems(expr[i-1],expr[i+1]);if(res!==void 0){expr.splice(i-1,3,res);continue}expr[i++]="+"}i++}}function mergeExprItems(a,b){if(b==='""')return a;if(a==='""')return b;if(typeof a=="string")return b instanceof Name||a[a.length-1]!=='"'?void 0:typeof b!="string"?`${a.slice(0,-1)}${b}\
+"`:b[0]==='"'?a.slice(0,-1)+b.slice(1):void 0;if(typeof b=="string"&&b[0]==='"'&&!(a instanceof Name))return`"${a}${b.slice(1)}`}function strConcat(c1,c2){return c2.emptyStr()?c1:c1.emptyStr()?c2:str`${c1}${c2}`}exports$1.strConcat=strConcat;function interpolate(x){return typeof x=="number"||typeof x=="boolean"||x===null?x:safeStringify(Array.isArray(x)?x.join(","):x)}function stringify2(x){return new _Code(safeStringify(x))}exports$1.stringify=stringify2;function safeStringify(x){return JSON.stringify(
+x).replace(/\u2028/g,"\\u2028").replace(/\u2029/g,"\\u2029")}exports$1.safeStringify=safeStringify;function getProperty(key2){return typeof key2=="string"&&exports$1.IDENTIFIER.test(key2)?new _Code(`.${key2}`):_`[${key2}]`}exports$1.getProperty=getProperty;function getEsmExportName(key2){if(typeof key2=="string"&&exports$1.IDENTIFIER.test(key2))return new _Code(`${key2}`);throw new Error(`CodeGen: invalid export name: ${key2}, use explicit $id name mapping`)}exports$1.getEsmExportName=getEsmExportName;
+function regexpCode(rx){return new _Code(rx.toString())}exports$1.regexpCode=regexpCode})(code$4)),code$4}var scope={},hasRequiredScope;function requireScope(){return hasRequiredScope||(hasRequiredScope=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.ValueScope=exports$1.ValueScopeName=exports$1.Scope=exports$1.varKinds=exports$1.UsedValueState=void 0;const code_1=requireCode$1();class ValueError extends Error{constructor(name){super(`CodeGen: "code" for\
+ ${name} not defined`),this.value=name.value}}var UsedValueState;(function(UsedValueState2){UsedValueState2[UsedValueState2.Started=0]="Started",UsedValueState2[UsedValueState2.Completed=1]="Completed"})(UsedValueState||(exports$1.UsedValueState=UsedValueState={})),exports$1.varKinds={const:new code_1.Name("const"),let:new code_1.Name("let"),var:new code_1.Name("var")};class Scope{constructor({prefixes,parent}={}){this._names={},this._prefixes=prefixes,this._parent=parent}toName(nameOrPrefix){return nameOrPrefix instanceof
+code_1.Name?nameOrPrefix:this.name(nameOrPrefix)}name(prefix){return new code_1.Name(this._newName(prefix))}_newName(prefix){const ng=this._names[prefix]||this._nameGroup(prefix);return`${prefix}${ng.index++}`}_nameGroup(prefix){var _a2,_b;if(!((_b=(_a2=this._parent)===null||_a2===void 0?void 0:_a2._prefixes)===null||_b===void 0)&&_b.has(prefix)||this._prefixes&&!this._prefixes.has(prefix))throw new Error(`CodeGen: prefix "${prefix}" is not allowed in this scope`);return this._names[prefix]={prefix,
+index:0}}}exports$1.Scope=Scope;class ValueScopeName extends code_1.Name{constructor(prefix,nameStr){super(nameStr),this.prefix=prefix}setValue(value,{property,itemIndex}){this.value=value,this.scopePath=(0,code_1._)`.${new code_1.Name(property)}[${itemIndex}]`}}exports$1.ValueScopeName=ValueScopeName;const line=(0,code_1._)`\n`;class ValueScope extends Scope{constructor(opts){super(opts),this._values={},this._scope=opts.scope,this.opts={...opts,_n:opts.lines?line:code_1.nil}}get(){return this._scope}name(prefix){
+return new ValueScopeName(prefix,this._newName(prefix))}value(nameOrPrefix,value){var _a2;if(value.ref===void 0)throw new Error("CodeGen: ref must be passed in value");const name=this.toName(nameOrPrefix),{prefix}=name,valueKey=(_a2=value.key)!==null&&_a2!==void 0?_a2:value.ref;let vs=this._values[prefix];if(vs){const _name=vs.get(valueKey);if(_name)return _name}else vs=this._values[prefix]=new Map;vs.set(valueKey,name);const s2=this._scope[prefix]||(this._scope[prefix]=[]),itemIndex=s2.length;return s2[itemIndex]=
+value.ref,name.setValue(value,{property:prefix,itemIndex}),name}getValue(prefix,keyOrRef){const vs=this._values[prefix];if(vs)return vs.get(keyOrRef)}scopeRefs(scopeName,values=this._values){return this._reduceValues(values,name=>{if(name.scopePath===void 0)throw new Error(`CodeGen: name "${name}" has no value`);return(0,code_1._)`${scopeName}${name.scopePath}`})}scopeCode(values=this._values,usedValues,getCode){return this._reduceValues(values,name=>{if(name.value===void 0)throw new Error(`Code\
+Gen: name "${name}" has no value`);return name.value.code},usedValues,getCode)}_reduceValues(values,valueCode,usedValues={},getCode){let code2=code_1.nil;for(const prefix in values){const vs=values[prefix];if(!vs)continue;const nameSet=usedValues[prefix]=usedValues[prefix]||new Map;vs.forEach(name=>{if(nameSet.has(name))return;nameSet.set(name,UsedValueState.Started);let c2=valueCode(name);if(c2){const def=this.opts.es5?exports$1.varKinds.var:exports$1.varKinds.const;code2=(0,code_1._)`${code2}${def} ${name} = ${c2};${this.
+opts._n}`}else if(c2=getCode?.(name))code2=(0,code_1._)`${code2}${c2}${this.opts._n}`;else throw new ValueError(name);nameSet.set(name,UsedValueState.Completed)})}return code2}}exports$1.ValueScope=ValueScope})(scope)),scope}var hasRequiredCodegen;function requireCodegen(){return hasRequiredCodegen||(hasRequiredCodegen=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.or=exports$1.and=exports$1.not=exports$1.CodeGen=exports$1.operators=exports$1.varKinds=exports$1.
+ValueScopeName=exports$1.ValueScope=exports$1.Scope=exports$1.Name=exports$1.regexpCode=exports$1.stringify=exports$1.getProperty=exports$1.nil=exports$1.strConcat=exports$1.str=exports$1._=void 0;const code_1=requireCode$1(),scope_1=requireScope();var code_2=requireCode$1();Object.defineProperty(exports$1,"_",{enumerable:!0,get:function(){return code_2._}}),Object.defineProperty(exports$1,"str",{enumerable:!0,get:function(){return code_2.str}}),Object.defineProperty(exports$1,"strConcat",{enumerable:!0,
+get:function(){return code_2.strConcat}}),Object.defineProperty(exports$1,"nil",{enumerable:!0,get:function(){return code_2.nil}}),Object.defineProperty(exports$1,"getProperty",{enumerable:!0,get:function(){return code_2.getProperty}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){return code_2.stringify}}),Object.defineProperty(exports$1,"regexpCode",{enumerable:!0,get:function(){return code_2.regexpCode}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){
+return code_2.Name}});var scope_2=requireScope();Object.defineProperty(exports$1,"Scope",{enumerable:!0,get:function(){return scope_2.Scope}}),Object.defineProperty(exports$1,"ValueScope",{enumerable:!0,get:function(){return scope_2.ValueScope}}),Object.defineProperty(exports$1,"ValueScopeName",{enumerable:!0,get:function(){return scope_2.ValueScopeName}}),Object.defineProperty(exports$1,"varKinds",{enumerable:!0,get:function(){return scope_2.varKinds}}),exports$1.operators={GT:new code_1._Code(
+">"),GTE:new code_1._Code(">="),LT:new code_1._Code("<"),LTE:new code_1._Code("<="),EQ:new code_1._Code("==="),NEQ:new code_1._Code("!=="),NOT:new code_1._Code("!"),OR:new code_1._Code("||"),AND:new code_1._Code("&&"),ADD:new code_1._Code("+")};class Node2{optimizeNodes(){return this}optimizeNames(_names,_constants){return this}}class Def extends Node2{constructor(varKind,name,rhs){super(),this.varKind=varKind,this.name=name,this.rhs=rhs}render({es5,_n}){const varKind=es5?scope_1.varKinds.var:this.
+varKind,rhs=this.rhs===void 0?"":` = ${this.rhs}`;return`${varKind} ${this.name}${rhs};`+_n}optimizeNames(names2,constants2){if(names2[this.name.str])return this.rhs&&(this.rhs=optimizeExpr(this.rhs,names2,constants2)),this}get names(){return this.rhs instanceof code_1._CodeOrName?this.rhs.names:{}}}class Assign extends Node2{constructor(lhs,rhs,sideEffects){super(),this.lhs=lhs,this.rhs=rhs,this.sideEffects=sideEffects}render({_n}){return`${this.lhs} = ${this.rhs};`+_n}optimizeNames(names2,constants2){
+if(!(this.lhs instanceof code_1.Name&&!names2[this.lhs.str]&&!this.sideEffects))return this.rhs=optimizeExpr(this.rhs,names2,constants2),this}get names(){const names2=this.lhs instanceof code_1.Name?{}:{...this.lhs.names};return addExprNames(names2,this.rhs)}}class AssignOp extends Assign{constructor(lhs,op2,rhs,sideEffects){super(lhs,rhs,sideEffects),this.op=op2}render({_n}){return`${this.lhs} ${this.op}= ${this.rhs};`+_n}}class Label2 extends Node2{constructor(label){super(),this.label=label,this.
+names={}}render({_n}){return`${this.label}:`+_n}}class Break extends Node2{constructor(label){super(),this.label=label,this.names={}}render({_n}){return`break${this.label?` ${this.label}`:""};`+_n}}class Throw extends Node2{constructor(error2){super(),this.error=error2}render({_n}){return`throw ${this.error};`+_n}get names(){return this.error.names}}class AnyCode extends Node2{constructor(code2){super(),this.code=code2}render({_n}){return`${this.code};`+_n}optimizeNodes(){return`${this.code}`?this:
+void 0}optimizeNames(names2,constants2){return this.code=optimizeExpr(this.code,names2,constants2),this}get names(){return this.code instanceof code_1._CodeOrName?this.code.names:{}}}class ParentNode extends Node2{constructor(nodes2=[]){super(),this.nodes=nodes2}render(opts){return this.nodes.reduce((code2,n)=>code2+n.render(opts),"")}optimizeNodes(){const{nodes:nodes2}=this;let i=nodes2.length;for(;i--;){const n=nodes2[i].optimizeNodes();Array.isArray(n)?nodes2.splice(i,1,...n):n?nodes2[i]=n:nodes2.
+splice(i,1)}return nodes2.length>0?this:void 0}optimizeNames(names2,constants2){const{nodes:nodes2}=this;let i=nodes2.length;for(;i--;){const n=nodes2[i];n.optimizeNames(names2,constants2)||(subtractNames(names2,n.names),nodes2.splice(i,1))}return nodes2.length>0?this:void 0}get names(){return this.nodes.reduce((names2,n)=>addNames(names2,n.names),{})}}class BlockNode extends ParentNode{render(opts){return"{"+opts._n+super.render(opts)+"}"+opts._n}}class Root2 extends ParentNode{}class Else extends BlockNode{}
+Else.kind="else";class If extends BlockNode{constructor(condition,nodes2){super(nodes2),this.condition=condition}render(opts){let code2=`if(${this.condition})`+super.render(opts);return this.else&&(code2+="else "+this.else.render(opts)),code2}optimizeNodes(){super.optimizeNodes();const cond=this.condition;if(cond===!0)return this.nodes;let e=this.else;if(e){const ns=e.optimizeNodes();e=this.else=Array.isArray(ns)?new Else(ns):ns}if(e)return cond===!1?e instanceof If?e:e.nodes:this.nodes.length?this:
+new If(not2(cond),e instanceof If?[e]:e.nodes);if(!(cond===!1||!this.nodes.length))return this}optimizeNames(names2,constants2){var _a2;if(this.else=(_a2=this.else)===null||_a2===void 0?void 0:_a2.optimizeNames(names2,constants2),!!(super.optimizeNames(names2,constants2)||this.else))return this.condition=optimizeExpr(this.condition,names2,constants2),this}get names(){const names2=super.names;return addExprNames(names2,this.condition),this.else&&addNames(names2,this.else.names),names2}}If.kind="i\
+f";class For extends BlockNode{}For.kind="for";class ForLoop extends For{constructor(iteration){super(),this.iteration=iteration}render(opts){return`for(${this.iteration})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iteration=optimizeExpr(this.iteration,names2,constants2),this}get names(){return addNames(super.names,this.iteration.names)}}class ForRange extends For{constructor(varKind,name,from,to){super(),this.varKind=varKind,this.name=
+name,this.from=from,this.to=to}render(opts){const varKind=opts.es5?scope_1.varKinds.var:this.varKind,{name,from,to}=this;return`for(${varKind} ${name}=${from}; ${name}<${to}; ${name}++)`+super.render(opts)}get names(){const names2=addExprNames(super.names,this.from);return addExprNames(names2,this.to)}}class ForIter extends For{constructor(loop2,varKind,name,iterable){super(),this.loop=loop2,this.varKind=varKind,this.name=name,this.iterable=iterable}render(opts){return`for(${this.varKind} ${this.
+name} ${this.loop} ${this.iterable})`+super.render(opts)}optimizeNames(names2,constants2){if(super.optimizeNames(names2,constants2))return this.iterable=optimizeExpr(this.iterable,names2,constants2),this}get names(){return addNames(super.names,this.iterable.names)}}class Func extends BlockNode{constructor(name,args,async){super(),this.name=name,this.args=args,this.async=async}render(opts){return`${this.async?"async ":""}function ${this.name}(${this.args})`+super.render(opts)}}Func.kind="func";class Return extends ParentNode{render(opts){
+return"return "+super.render(opts)}}Return.kind="return";class Try extends BlockNode{render(opts){let code2="try"+super.render(opts);return this.catch&&(code2+=this.catch.render(opts)),this.finally&&(code2+=this.finally.render(opts)),code2}optimizeNodes(){var _a2,_b;return super.optimizeNodes(),(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNodes(),(_b=this.finally)===null||_b===void 0||_b.optimizeNodes(),this}optimizeNames(names2,constants2){var _a2,_b;return super.optimizeNames(names2,constants2),
+(_a2=this.catch)===null||_a2===void 0||_a2.optimizeNames(names2,constants2),(_b=this.finally)===null||_b===void 0||_b.optimizeNames(names2,constants2),this}get names(){const names2=super.names;return this.catch&&addNames(names2,this.catch.names),this.finally&&addNames(names2,this.finally.names),names2}}class Catch extends BlockNode{constructor(error2){super(),this.error=error2}render(opts){return`catch(${this.error})`+super.render(opts)}}Catch.kind="catch";class Finally extends BlockNode{render(opts){
+return"finally"+super.render(opts)}}Finally.kind="finally";class CodeGen{constructor(extScope,opts={}){this._values={},this._blockStarts=[],this._constants={},this.opts={...opts,_n:opts.lines?`
+`:""},this._extScope=extScope,this._scope=new scope_1.Scope({parent:extScope}),this._nodes=[new Root2]}toString(){return this._root.render(this.opts)}name(prefix){return this._scope.name(prefix)}scopeName(prefix){return this._extScope.name(prefix)}scopeValue(prefixOrName,value){const name=this._extScope.value(prefixOrName,value);return(this._values[name.prefix]||(this._values[name.prefix]=new Set)).add(name),name}getScopeValue(prefix,keyOrRef){return this._extScope.getValue(prefix,keyOrRef)}scopeRefs(scopeName){
+return this._extScope.scopeRefs(scopeName,this._values)}scopeCode(){return this._extScope.scopeCode(this._values)}_def(varKind,nameOrPrefix,rhs,constant){const name=this._scope.toName(nameOrPrefix);return rhs!==void 0&&constant&&(this._constants[name.str]=rhs),this._leafNode(new Def(varKind,name,rhs)),name}const(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.const,nameOrPrefix,rhs,_constant)}let(nameOrPrefix,rhs,_constant){return this._def(scope_1.varKinds.let,nameOrPrefix,rhs,_constant)}var(nameOrPrefix,rhs,_constant){
+return this._def(scope_1.varKinds.var,nameOrPrefix,rhs,_constant)}assign(lhs,rhs,sideEffects){return this._leafNode(new Assign(lhs,rhs,sideEffects))}add(lhs,rhs){return this._leafNode(new AssignOp(lhs,exports$1.operators.ADD,rhs))}code(c2){return typeof c2=="function"?c2():c2!==code_1.nil&&this._leafNode(new AnyCode(c2)),this}object(...keyValues){const code2=["{"];for(const[key2,value]of keyValues)code2.length>1&&code2.push(","),code2.push(key2),(key2!==value||this.opts.es5)&&(code2.push(":"),(0,code_1.
+addCodeArg)(code2,value));return code2.push("}"),new code_1._Code(code2)}if(condition,thenBody,elseBody){if(this._blockNode(new If(condition)),thenBody&&elseBody)this.code(thenBody).else().code(elseBody).endIf();else if(thenBody)this.code(thenBody).endIf();else if(elseBody)throw new Error('CodeGen: "else" body without "then" body');return this}elseIf(condition){return this._elseNode(new If(condition))}else(){return this._elseNode(new Else)}endIf(){return this._endBlockNode(If,Else)}_for(node2,forBody){
+return this._blockNode(node2),forBody&&this.code(forBody).endFor(),this}for(iteration,forBody){return this._for(new ForLoop(iteration),forBody)}forRange(nameOrPrefix,from,to,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.let){const name=this._scope.toName(nameOrPrefix);return this._for(new ForRange(varKind,name,from,to),()=>forBody(name))}forOf(nameOrPrefix,iterable,forBody,varKind=scope_1.varKinds.const){const name=this._scope.toName(nameOrPrefix);if(this.opts.es5){const arr=iterable instanceof
+code_1.Name?iterable:this.var("_arr",iterable);return this.forRange("_i",0,(0,code_1._)`${arr}.length`,i=>{this.var(name,(0,code_1._)`${arr}[${i}]`),forBody(name)})}return this._for(new ForIter("of",varKind,name,iterable),()=>forBody(name))}forIn(nameOrPrefix,obj,forBody,varKind=this.opts.es5?scope_1.varKinds.var:scope_1.varKinds.const){if(this.opts.ownProperties)return this.forOf(nameOrPrefix,(0,code_1._)`Object.keys(${obj})`,forBody);const name=this._scope.toName(nameOrPrefix);return this._for(
+new ForIter("in",varKind,name,obj),()=>forBody(name))}endFor(){return this._endBlockNode(For)}label(label){return this._leafNode(new Label2(label))}break(label){return this._leafNode(new Break(label))}return(value){const node2=new Return;if(this._blockNode(node2),this.code(value),node2.nodes.length!==1)throw new Error('CodeGen: "return" should have one node');return this._endBlockNode(Return)}try(tryBody,catchCode,finallyCode){if(!catchCode&&!finallyCode)throw new Error('CodeGen: "try" without "\
+catch" and "finally"');const node2=new Try;if(this._blockNode(node2),this.code(tryBody),catchCode){const error2=this.name("e");this._currNode=node2.catch=new Catch(error2),catchCode(error2)}return finallyCode&&(this._currNode=node2.finally=new Finally,this.code(finallyCode)),this._endBlockNode(Catch,Finally)}throw(error2){return this._leafNode(new Throw(error2))}block(body2,nodeCount){return this._blockStarts.push(this._nodes.length),body2&&this.code(body2).endBlock(nodeCount),this}endBlock(nodeCount){
+const len=this._blockStarts.pop();if(len===void 0)throw new Error("CodeGen: not in self-balancing block");const toClose=this._nodes.length-len;if(toClose<0||nodeCount!==void 0&&toClose!==nodeCount)throw new Error(`CodeGen: wrong number of nodes: ${toClose} vs ${nodeCount} expected`);return this._nodes.length=len,this}func(name,args=code_1.nil,async,funcBody){return this._blockNode(new Func(name,args,async)),funcBody&&this.code(funcBody).endFunc(),this}endFunc(){return this._endBlockNode(Func)}optimize(n=1){
+for(;n-- >0;)this._root.optimizeNodes(),this._root.optimizeNames(this._root.names,this._constants)}_leafNode(node2){return this._currNode.nodes.push(node2),this}_blockNode(node2){this._currNode.nodes.push(node2),this._nodes.push(node2)}_endBlockNode(N1,N2){const n=this._currNode;if(n instanceof N1||N2&&n instanceof N2)return this._nodes.pop(),this;throw new Error(`CodeGen: not in block "${N2?`${N1.kind}/${N2.kind}`:N1.kind}"`)}_elseNode(node2){const n=this._currNode;if(!(n instanceof If))throw new Error(
+'CodeGen: "else" without "if"');return this._currNode=n.else=node2,this}get _root(){return this._nodes[0]}get _currNode(){const ns=this._nodes;return ns[ns.length-1]}set _currNode(node2){const ns=this._nodes;ns[ns.length-1]=node2}}exports$1.CodeGen=CodeGen;function addNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)+(from[n]||0);return names2}function addExprNames(names2,from){return from instanceof code_1._CodeOrName?addNames(names2,from.names):names2}function optimizeExpr(expr,names2,constants2){
+if(expr instanceof code_1.Name)return replaceName(expr);if(!canOptimize(expr))return expr;return new code_1._Code(expr._items.reduce((items2,c2)=>(c2 instanceof code_1.Name&&(c2=replaceName(c2)),c2 instanceof code_1._Code?items2.push(...c2._items):items2.push(c2),items2),[]));function replaceName(n){const c2=constants2[n.str];return c2===void 0||names2[n.str]!==1?n:(delete names2[n.str],c2)}function canOptimize(e){return e instanceof code_1._Code&&e._items.some(c2=>c2 instanceof code_1.Name&&names2[c2.
+str]===1&&constants2[c2.str]!==void 0)}}function subtractNames(names2,from){for(const n in from)names2[n]=(names2[n]||0)-(from[n]||0)}function not2(x){return typeof x=="boolean"||typeof x=="number"||x===null?!x:(0,code_1._)`!${par(x)}`}exports$1.not=not2;const andCode=mappend(exports$1.operators.AND);function and(...args){return args.reduce(andCode)}exports$1.and=and;const orCode=mappend(exports$1.operators.OR);function or(...args){return args.reduce(orCode)}exports$1.or=or;function mappend(op2){
+return(x,y)=>x===code_1.nil?y:y===code_1.nil?x:(0,code_1._)`${par(x)} ${op2} ${par(y)}`}function par(x){return x instanceof code_1.Name?x:(0,code_1._)`(${x})`}})(codegen)),codegen}var util={},hasRequiredUtil;function requireUtil(){if(hasRequiredUtil)return util;hasRequiredUtil=1,Object.defineProperty(util,"__esModule",{value:!0}),util.checkStrictMode=util.getErrorPath=util.Type=util.useFunc=util.setEvaluated=util.evaluatedPropsToName=util.mergeEvaluated=util.eachItem=util.unescapeJsonPointer=util.
+escapeJsonPointer=util.escapeFragment=util.unescapeFragment=util.schemaRefOrVal=util.schemaHasRulesButRef=util.schemaHasRules=util.checkUnknownRules=util.alwaysValidSchema=util.toHash=void 0;const codegen_1=requireCodegen(),code_1=requireCode$1();function toHash(arr){const hash2={};for(const item of arr)hash2[item]=!0;return hash2}util.toHash=toHash;function alwaysValidSchema(it,schema){return typeof schema=="boolean"?schema:Object.keys(schema).length===0?!0:(checkUnknownRules(it,schema),!schemaHasRules(
+schema,it.self.RULES.all))}util.alwaysValidSchema=alwaysValidSchema;function checkUnknownRules(it,schema=it.schema){const{opts,self:self2}=it;if(!opts.strictSchema||typeof schema=="boolean")return;const rules2=self2.RULES.keywords;for(const key2 in schema)rules2[key2]||checkStrictMode(it,`unknown keyword: "${key2}"`)}util.checkUnknownRules=checkUnknownRules;function schemaHasRules(schema,rules2){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(rules2[key2])return!0;return!1}
+util.schemaHasRules=schemaHasRules;function schemaHasRulesButRef(schema,RULES){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(key2!=="$ref"&&RULES.all[key2])return!0;return!1}util.schemaHasRulesButRef=schemaHasRulesButRef;function schemaRefOrVal({topSchemaRef,schemaPath},schema,keyword2,$data){if(!$data){if(typeof schema=="number"||typeof schema=="boolean")return schema;if(typeof schema=="string")return(0,codegen_1._)`${schema}`}return(0,codegen_1._)`${topSchemaRef}${schemaPath}${(0,codegen_1.
+getProperty)(keyword2)}`}util.schemaRefOrVal=schemaRefOrVal;function unescapeFragment(str){return unescapeJsonPointer(decodeURIComponent(str))}util.unescapeFragment=unescapeFragment;function escapeFragment(str){return encodeURIComponent(escapeJsonPointer(str))}util.escapeFragment=escapeFragment;function escapeJsonPointer(str){return typeof str=="number"?`${str}`:str.replace(/~/g,"~0").replace(/\//g,"~1")}util.escapeJsonPointer=escapeJsonPointer;function unescapeJsonPointer(str){return str.replace(
+/~1/g,"/").replace(/~0/g,"~")}util.unescapeJsonPointer=unescapeJsonPointer;function eachItem(xs,f){if(Array.isArray(xs))for(const x of xs)f(x);else f(xs)}util.eachItem=eachItem;function makeMergeEvaluated({mergeNames,mergeToName,mergeValues:mergeValues2,resultToName}){return(gen,from,to,toName)=>{const res=to===void 0?from:to instanceof codegen_1.Name?(from instanceof codegen_1.Name?mergeNames(gen,from,to):mergeToName(gen,from,to),to):from instanceof codegen_1.Name?(mergeToName(gen,to,from),from):
+mergeValues2(from,to);return toName===codegen_1.Name&&!(res instanceof codegen_1.Name)?resultToName(gen,res):res}}util.mergeEvaluated={props:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>{gen.if((0,codegen_1._)`${from} === true`,()=>gen.assign(to,!0),()=>gen.assign(to,(0,codegen_1._)`${to} || {}`).code((0,codegen_1._)`Object.assign(${to}, ${from})`))}),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>{from===
+!0?gen.assign(to,!0):(gen.assign(to,(0,codegen_1._)`${to} || {}`),setEvaluated(gen,to,from))}),mergeValues:(from,to)=>from===!0?!0:{...from,...to},resultToName:evaluatedPropsToName}),items:makeMergeEvaluated({mergeNames:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true && ${from} !== undefined`,()=>gen.assign(to,(0,codegen_1._)`${from} === true ? true : ${to} > ${from} ? ${to} : ${from}`)),mergeToName:(gen,from,to)=>gen.if((0,codegen_1._)`${to} !== true`,()=>gen.assign(to,from===!0?!0:(0,codegen_1.
+_)`${to} > ${from} ? ${to} : ${from}`)),mergeValues:(from,to)=>from===!0?!0:Math.max(from,to),resultToName:(gen,items2)=>gen.var("items",items2)})};function evaluatedPropsToName(gen,ps){if(ps===!0)return gen.var("props",!0);const props=gen.var("props",(0,codegen_1._)`{}`);return ps!==void 0&&setEvaluated(gen,props,ps),props}util.evaluatedPropsToName=evaluatedPropsToName;function setEvaluated(gen,props,ps){Object.keys(ps).forEach(p2=>gen.assign((0,codegen_1._)`${props}${(0,codegen_1.getProperty)(
+p2)}`,!0))}util.setEvaluated=setEvaluated;const snippets={};function useFunc(gen,f){return gen.scopeValue("func",{ref:f,code:snippets[f.code]||(snippets[f.code]=new code_1._Code(f.code))})}util.useFunc=useFunc;var Type;(function(Type2){Type2[Type2.Num=0]="Num",Type2[Type2.Str=1]="Str"})(Type||(util.Type=Type={}));function getErrorPath(dataProp,dataPropType,jsPropertySyntax){if(dataProp instanceof codegen_1.Name){const isNumber2=dataPropType===Type.Num;return jsPropertySyntax?isNumber2?(0,codegen_1.
+_)`"[" + ${dataProp} + "]"`:(0,codegen_1._)`"['" + ${dataProp} + "']"`:isNumber2?(0,codegen_1._)`"/" + ${dataProp}`:(0,codegen_1._)`"/" + ${dataProp}.replace(/~/g, "~0").replace(/\\//g, "~1")`}return jsPropertySyntax?(0,codegen_1.getProperty)(dataProp).toString():"/"+escapeJsonPointer(dataProp)}util.getErrorPath=getErrorPath;function checkStrictMode(it,msg,mode=it.opts.strictSchema){if(mode){if(msg=`strict mode: ${msg}`,mode===!0)throw new Error(msg);it.self.logger.warn(msg)}}return util.checkStrictMode=
+checkStrictMode,util}var names={},hasRequiredNames;function requireNames(){if(hasRequiredNames)return names;hasRequiredNames=1,Object.defineProperty(names,"__esModule",{value:!0});const codegen_1=requireCodegen(),names$12={data:new codegen_1.Name("data"),valCxt:new codegen_1.Name("valCxt"),instancePath:new codegen_1.Name("instancePath"),parentData:new codegen_1.Name("parentData"),parentDataProperty:new codegen_1.Name("parentDataProperty"),rootData:new codegen_1.Name("rootData"),dynamicAnchors:new codegen_1.
+Name("dynamicAnchors"),vErrors:new codegen_1.Name("vErrors"),errors:new codegen_1.Name("errors"),this:new codegen_1.Name("this"),self:new codegen_1.Name("self"),scope:new codegen_1.Name("scope"),json:new codegen_1.Name("json"),jsonPos:new codegen_1.Name("jsonPos"),jsonLen:new codegen_1.Name("jsonLen"),jsonPart:new codegen_1.Name("jsonPart")};return names.default=names$12,names}var hasRequiredErrors;function requireErrors(){return hasRequiredErrors||(hasRequiredErrors=1,(function(exports$1){Object.
+defineProperty(exports$1,"__esModule",{value:!0}),exports$1.extendErrors=exports$1.resetErrorsCount=exports$1.reportExtraError=exports$1.reportError=exports$1.keyword$DataError=exports$1.keywordError=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),names_1=requireNames();exports$1.keywordError={message:({keyword:keyword2})=>(0,codegen_1.str)`must pass "${keyword2}" keyword validation`},exports$1.keyword$DataError={message:({keyword:keyword2,schemaType})=>schemaType?(0,codegen_1.str)`"${keyword2}" keyword must be ${schemaType} ($data)`:
+(0,codegen_1.str)`"${keyword2}" keyword is invalid ($data)`};function reportError(cxt,error2=exports$1.keywordError,errorPaths,overrideAllErrors){const{it}=cxt,{gen,compositeRule,allErrors}=it,errObj=errorObjectCode(cxt,error2,errorPaths);overrideAllErrors??(compositeRule||allErrors)?addError(gen,errObj):returnErrors(it,(0,codegen_1._)`[${errObj}]`)}exports$1.reportError=reportError;function reportExtraError(cxt,error2=exports$1.keywordError,errorPaths){const{it}=cxt,{gen,compositeRule,allErrors}=it,
+errObj=errorObjectCode(cxt,error2,errorPaths);addError(gen,errObj),compositeRule||allErrors||returnErrors(it,names_1.default.vErrors)}exports$1.reportExtraError=reportExtraError;function resetErrorsCount(gen,errsCount){gen.assign(names_1.default.errors,errsCount),gen.if((0,codegen_1._)`${names_1.default.vErrors} !== null`,()=>gen.if(errsCount,()=>gen.assign((0,codegen_1._)`${names_1.default.vErrors}.length`,errsCount),()=>gen.assign(names_1.default.vErrors,null)))}exports$1.resetErrorsCount=resetErrorsCount;
+function extendErrors({gen,keyword:keyword2,schemaValue,data,errsCount,it}){if(errsCount===void 0)throw new Error("ajv implementation error");const err=gen.name("err");gen.forRange("i",errsCount,names_1.default.errors,i=>{gen.const(err,(0,codegen_1._)`${names_1.default.vErrors}[${i}]`),gen.if((0,codegen_1._)`${err}.instancePath === undefined`,()=>gen.assign((0,codegen_1._)`${err}.instancePath`,(0,codegen_1.strConcat)(names_1.default.instancePath,it.errorPath))),gen.assign((0,codegen_1._)`${err}.schemaPath`,
+(0,codegen_1.str)`${it.errSchemaPath}/${keyword2}`),it.opts.verbose&&(gen.assign((0,codegen_1._)`${err}.schema`,schemaValue),gen.assign((0,codegen_1._)`${err}.data`,data))})}exports$1.extendErrors=extendErrors;function addError(gen,errObj){const err=gen.const("err",errObj);gen.if((0,codegen_1._)`${names_1.default.vErrors} === null`,()=>gen.assign(names_1.default.vErrors,(0,codegen_1._)`[${err}]`),(0,codegen_1._)`${names_1.default.vErrors}.push(${err})`),gen.code((0,codegen_1._)`${names_1.default.
+errors}++`)}function returnErrors(it,errs){const{gen,validateName,schemaEnv}=it;schemaEnv.$async?gen.throw((0,codegen_1._)`new ${it.ValidationError}(${errs})`):(gen.assign((0,codegen_1._)`${validateName}.errors`,errs),gen.return(!1))}const E={keyword:new codegen_1.Name("keyword"),schemaPath:new codegen_1.Name("schemaPath"),params:new codegen_1.Name("params"),propertyName:new codegen_1.Name("propertyName"),message:new codegen_1.Name("message"),schema:new codegen_1.Name("schema"),parentSchema:new codegen_1.
+Name("parentSchema")};function errorObjectCode(cxt,error2,errorPaths){const{createErrors}=cxt.it;return createErrors===!1?(0,codegen_1._)`{}`:errorObject(cxt,error2,errorPaths)}function errorObject(cxt,error2,errorPaths={}){const{gen,it}=cxt,keyValues=[errorInstancePath(it,errorPaths),errorSchemaPath(cxt,errorPaths)];return extraErrorProps(cxt,error2,keyValues),gen.object(...keyValues)}function errorInstancePath({errorPath},{instancePath}){const instPath=instancePath?(0,codegen_1.str)`${errorPath}${(0,util_1.
+getErrorPath)(instancePath,util_1.Type.Str)}`:errorPath;return[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,instPath)]}function errorSchemaPath({keyword:keyword2,it:{errSchemaPath}},{schemaPath,parentSchema}){let schPath=parentSchema?errSchemaPath:(0,codegen_1.str)`${errSchemaPath}/${keyword2}`;return schemaPath&&(schPath=(0,codegen_1.str)`${schPath}${(0,util_1.getErrorPath)(schemaPath,util_1.Type.Str)}`),[E.schemaPath,schPath]}function extraErrorProps(cxt,{params,
+message},keyValues){const{keyword:keyword2,data,schemaValue,it}=cxt,{opts,propertyName,topSchemaRef,schemaPath}=it;keyValues.push([E.keyword,keyword2],[E.params,typeof params=="function"?params(cxt):params||(0,codegen_1._)`{}`]),opts.messages&&keyValues.push([E.message,typeof message=="function"?message(cxt):message]),opts.verbose&&keyValues.push([E.schema,schemaValue],[E.parentSchema,(0,codegen_1._)`${topSchemaRef}${schemaPath}`],[names_1.default.data,data]),propertyName&&keyValues.push([E.propertyName,
+propertyName])}})(errors)),errors}var hasRequiredBoolSchema;function requireBoolSchema(){if(hasRequiredBoolSchema)return boolSchema;hasRequiredBoolSchema=1,Object.defineProperty(boolSchema,"__esModule",{value:!0}),boolSchema.boolOrEmptySchema=boolSchema.topBoolOrEmptySchema=void 0;const errors_1=requireErrors(),codegen_1=requireCodegen(),names_1=requireNames(),boolError={message:"boolean schema is false"};function topBoolOrEmptySchema(it){const{gen,schema,validateName}=it;schema===!1?falseSchemaError(
+it,!1):typeof schema=="object"&&schema.$async===!0?gen.return(names_1.default.data):(gen.assign((0,codegen_1._)`${validateName}.errors`,null),gen.return(!0))}boolSchema.topBoolOrEmptySchema=topBoolOrEmptySchema;function boolOrEmptySchema(it,valid2){const{gen,schema}=it;schema===!1?(gen.var(valid2,!1),falseSchemaError(it)):gen.var(valid2,!0)}boolSchema.boolOrEmptySchema=boolOrEmptySchema;function falseSchemaError(it,overrideAllErrors){const{gen,data}=it,cxt={gen,keyword:"false schema",data,schema:!1,
+schemaCode:!1,schemaValue:!1,params:{},it};(0,errors_1.reportError)(cxt,boolError,void 0,overrideAllErrors)}return boolSchema}var dataType={},rules={},hasRequiredRules;function requireRules(){if(hasRequiredRules)return rules;hasRequiredRules=1,Object.defineProperty(rules,"__esModule",{value:!0}),rules.getRules=rules.isJSONType=void 0;const _jsonTypes=["string","number","integer","boolean","null","object","array"],jsonTypes=new Set(_jsonTypes);function isJSONType(x){return typeof x=="string"&&jsonTypes.
+has(x)}rules.isJSONType=isJSONType;function getRules(){const groups={number:{type:"number",rules:[]},string:{type:"string",rules:[]},array:{type:"array",rules:[]},object:{type:"object",rules:[]}};return{types:{...groups,integer:!0,boolean:!0,null:!0},rules:[{rules:[]},groups.number,groups.string,groups.array,groups.object],post:{rules:[]},all:{},keywords:{}}}return rules.getRules=getRules,rules}var applicability={},hasRequiredApplicability;function requireApplicability(){if(hasRequiredApplicability)
+return applicability;hasRequiredApplicability=1,Object.defineProperty(applicability,"__esModule",{value:!0}),applicability.shouldUseRule=applicability.shouldUseGroup=applicability.schemaHasRulesForType=void 0;function schemaHasRulesForType({schema,self:self2},type2){const group=self2.RULES.types[type2];return group&&group!==!0&&shouldUseGroup(schema,group)}applicability.schemaHasRulesForType=schemaHasRulesForType;function shouldUseGroup(schema,group){return group.rules.some(rule=>shouldUseRule(schema,
+rule))}applicability.shouldUseGroup=shouldUseGroup;function shouldUseRule(schema,rule){var _a2;return schema[rule.keyword]!==void 0||((_a2=rule.definition.implements)===null||_a2===void 0?void 0:_a2.some(kwd=>schema[kwd]!==void 0))}return applicability.shouldUseRule=shouldUseRule,applicability}var hasRequiredDataType;function requireDataType(){if(hasRequiredDataType)return dataType;hasRequiredDataType=1,Object.defineProperty(dataType,"__esModule",{value:!0}),dataType.reportTypeError=dataType.checkDataTypes=
+dataType.checkDataType=dataType.coerceAndCheckDataType=dataType.getJSONTypes=dataType.getSchemaTypes=dataType.DataType=void 0;const rules_1=requireRules(),applicability_1=requireApplicability(),errors_1=requireErrors(),codegen_1=requireCodegen(),util_1=requireUtil();var DataType;(function(DataType2){DataType2[DataType2.Correct=0]="Correct",DataType2[DataType2.Wrong=1]="Wrong"})(DataType||(dataType.DataType=DataType={}));function getSchemaTypes(schema){const types2=getJSONTypes(schema.type);if(types2.
+includes("null")){if(schema.nullable===!1)throw new Error("type: null contradicts nullable: false")}else{if(!types2.length&&schema.nullable!==void 0)throw new Error('"nullable" cannot be used without "type"');schema.nullable===!0&&types2.push("null")}return types2}dataType.getSchemaTypes=getSchemaTypes;function getJSONTypes(ts){const types2=Array.isArray(ts)?ts:ts?[ts]:[];if(types2.every(rules_1.isJSONType))return types2;throw new Error("type must be JSONType or JSONType[]: "+types2.join(","))}dataType.
+getJSONTypes=getJSONTypes;function coerceAndCheckDataType(it,types2){const{gen,data,opts}=it,coerceTo=coerceToTypes(types2,opts.coerceTypes),checkTypes=types2.length>0&&!(coerceTo.length===0&&types2.length===1&&(0,applicability_1.schemaHasRulesForType)(it,types2[0]));if(checkTypes){const wrongType=checkDataTypes(types2,data,opts.strictNumbers,DataType.Wrong);gen.if(wrongType,()=>{coerceTo.length?coerceData(it,types2,coerceTo):reportTypeError(it)})}return checkTypes}dataType.coerceAndCheckDataType=
+coerceAndCheckDataType;const COERCIBLE=new Set(["string","number","integer","boolean","null"]);function coerceToTypes(types2,coerceTypes){return coerceTypes?types2.filter(t=>COERCIBLE.has(t)||coerceTypes==="array"&&t==="array"):[]}function coerceData(it,types2,coerceTo){const{gen,data,opts}=it,dataType2=gen.let("dataType",(0,codegen_1._)`typeof ${data}`),coerced=gen.let("coerced",(0,codegen_1._)`undefined`);opts.coerceTypes==="array"&&gen.if((0,codegen_1._)`${dataType2} == 'object' && Array.isArray(${data}) && ${data}.length == 1`,
+()=>gen.assign(data,(0,codegen_1._)`${data}[0]`).assign(dataType2,(0,codegen_1._)`typeof ${data}`).if(checkDataTypes(types2,data,opts.strictNumbers),()=>gen.assign(coerced,data))),gen.if((0,codegen_1._)`${coerced} !== undefined`);for(const t of coerceTo)(COERCIBLE.has(t)||t==="array"&&opts.coerceTypes==="array")&&coerceSpecificType(t);gen.else(),reportTypeError(it),gen.endIf(),gen.if((0,codegen_1._)`${coerced} !== undefined`,()=>{gen.assign(data,coerced),assignParentData(it,coerced)});function coerceSpecificType(t){
+switch(t){case"string":gen.elseIf((0,codegen_1._)`${dataType2} == "number" || ${dataType2} == "boolean"`).assign(coerced,(0,codegen_1._)`"" + ${data}`).elseIf((0,codegen_1._)`${data} === null`).assign(coerced,(0,codegen_1._)`""`);return;case"number":gen.elseIf((0,codegen_1._)`${dataType2} == "boolean" || ${data} === null
+              || (${dataType2} == "string" && ${data} && ${data} == +${data})`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"integer":gen.elseIf((0,codegen_1._)`${dataType2} === "boolean" || ${data} === null
+              || (${dataType2} === "string" && ${data} && ${data} == +${data} && !(${data} % 1))`).assign(coerced,(0,codegen_1._)`+${data}`);return;case"boolean":gen.elseIf((0,codegen_1._)`${data} === "false" || ${data} === 0 || ${data} === null`).assign(coerced,!1).elseIf((0,codegen_1._)`${data} === "true" || ${data} === 1`).assign(coerced,!0);return;case"null":gen.elseIf((0,codegen_1._)`${data} === "" || ${data} === 0 || ${data} === false`),gen.assign(coerced,null);return;case"array":gen.elseIf(
+(0,codegen_1._)`${dataType2} === "string" || ${dataType2} === "number"
+              || ${dataType2} === "boolean" || ${data} === null`).assign(coerced,(0,codegen_1._)`[${data}]`)}}}function assignParentData({gen,parentData,parentDataProperty},expr){gen.if((0,codegen_1._)`${parentData} !== undefined`,()=>gen.assign((0,codegen_1._)`${parentData}[${parentDataProperty}]`,expr))}function checkDataType(dataType2,data,strictNums,correct=DataType.Correct){const EQ=correct===DataType.Correct?codegen_1.operators.EQ:codegen_1.operators.NEQ;let cond;switch(dataType2){case"nul\
+l":return(0,codegen_1._)`${data} ${EQ} null`;case"array":cond=(0,codegen_1._)`Array.isArray(${data})`;break;case"object":cond=(0,codegen_1._)`${data} && typeof ${data} == "object" && !Array.isArray(${data})`;break;case"integer":cond=numCond((0,codegen_1._)`!(${data} % 1) && !isNaN(${data})`);break;case"number":cond=numCond();break;default:return(0,codegen_1._)`typeof ${data} ${EQ} ${dataType2}`}return correct===DataType.Correct?cond:(0,codegen_1.not)(cond);function numCond(_cond=codegen_1.nil){return(0,codegen_1.
+and)((0,codegen_1._)`typeof ${data} == "number"`,_cond,strictNums?(0,codegen_1._)`isFinite(${data})`:codegen_1.nil)}}dataType.checkDataType=checkDataType;function checkDataTypes(dataTypes,data,strictNums,correct){if(dataTypes.length===1)return checkDataType(dataTypes[0],data,strictNums,correct);let cond;const types2=(0,util_1.toHash)(dataTypes);if(types2.array&&types2.object){const notObj=(0,codegen_1._)`typeof ${data} != "object"`;cond=types2.null?notObj:(0,codegen_1._)`!${data} || ${notObj}`,delete types2.
+null,delete types2.array,delete types2.object}else cond=codegen_1.nil;types2.number&&delete types2.integer;for(const t in types2)cond=(0,codegen_1.and)(cond,checkDataType(t,data,strictNums,correct));return cond}dataType.checkDataTypes=checkDataTypes;const typeError={message:({schema})=>`must be ${schema}`,params:({schema,schemaValue})=>typeof schema=="string"?(0,codegen_1._)`{type: ${schema}}`:(0,codegen_1._)`{type: ${schemaValue}}`};function reportTypeError(it){const cxt=getTypeErrorContext(it);
+(0,errors_1.reportError)(cxt,typeError)}dataType.reportTypeError=reportTypeError;function getTypeErrorContext(it){const{gen,data,schema}=it,schemaCode=(0,util_1.schemaRefOrVal)(it,schema,"type");return{gen,keyword:"type",data,schema:schema.type,schemaCode,schemaValue:schemaCode,parentSchema:schema,params:{},it}}return dataType}var defaults={},hasRequiredDefaults;function requireDefaults(){if(hasRequiredDefaults)return defaults;hasRequiredDefaults=1,Object.defineProperty(defaults,"__esModule",{value:!0}),
+defaults.assignDefaults=void 0;const codegen_1=requireCodegen(),util_1=requireUtil();function assignDefaults(it,ty){const{properties:properties2,items:items2}=it.schema;if(ty==="object"&&properties2)for(const key2 in properties2)assignDefault(it,key2,properties2[key2].default);else ty==="array"&&Array.isArray(items2)&&items2.forEach((sch,i)=>assignDefault(it,i,sch.default))}defaults.assignDefaults=assignDefaults;function assignDefault(it,prop2,defaultValue){const{gen,compositeRule,data,opts}=it;
+if(defaultValue===void 0)return;const childData=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(prop2)}`;if(compositeRule){(0,util_1.checkStrictMode)(it,`default is ignored for: ${childData}`);return}let condition=(0,codegen_1._)`${childData} === undefined`;opts.useDefaults==="empty"&&(condition=(0,codegen_1._)`${condition} || ${childData} === null || ${childData} === ""`),gen.if(condition,(0,codegen_1._)`${childData} = ${(0,codegen_1.stringify)(defaultValue)}`)}return defaults}var keyword={},
+code$3={},hasRequiredCode;function requireCode(){if(hasRequiredCode)return code$3;hasRequiredCode=1,Object.defineProperty(code$3,"__esModule",{value:!0}),code$3.validateUnion=code$3.validateArray=code$3.usePattern=code$3.callValidateCode=code$3.schemaProperties=code$3.allSchemaProperties=code$3.noPropertyInData=code$3.propertyInData=code$3.isOwnProperty=code$3.hasPropFunc=code$3.reportMissingProp=code$3.checkMissingProp=code$3.checkReportMissingProp=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),
+names_1=requireNames(),util_2=requireUtil();function checkReportMissingProp(cxt,prop2){const{gen,data,it}=cxt;gen.if(noPropertyInData(gen,data,prop2,it.opts.ownProperties),()=>{cxt.setParams({missingProperty:(0,codegen_1._)`${prop2}`},!0),cxt.error()})}code$3.checkReportMissingProp=checkReportMissingProp;function checkMissingProp({gen,data,it:{opts}},properties2,missing){return(0,codegen_1.or)(...properties2.map(prop2=>(0,codegen_1.and)(noPropertyInData(gen,data,prop2,opts.ownProperties),(0,codegen_1.
+_)`${missing} = ${prop2}`)))}code$3.checkMissingProp=checkMissingProp;function reportMissingProp(cxt,missing){cxt.setParams({missingProperty:missing},!0),cxt.error()}code$3.reportMissingProp=reportMissingProp;function hasPropFunc(gen){return gen.scopeValue("func",{ref:Object.prototype.hasOwnProperty,code:(0,codegen_1._)`Object.prototype.hasOwnProperty`})}code$3.hasPropFunc=hasPropFunc;function isOwnProperty(gen,data,property){return(0,codegen_1._)`${hasPropFunc(gen)}.call(${data}, ${property})`}
+code$3.isOwnProperty=isOwnProperty;function propertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} !== undefined`;return ownProperties?(0,codegen_1._)`${cond} && ${isOwnProperty(gen,data,property)}`:cond}code$3.propertyInData=propertyInData;function noPropertyInData(gen,data,property,ownProperties){const cond=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(property)} === undefined`;return ownProperties?(0,codegen_1.or)(cond,(0,codegen_1.
+not)(isOwnProperty(gen,data,property))):cond}code$3.noPropertyInData=noPropertyInData;function allSchemaProperties(schemaMap){return schemaMap?Object.keys(schemaMap).filter(p2=>p2!=="__proto__"):[]}code$3.allSchemaProperties=allSchemaProperties;function schemaProperties(it,schemaMap){return allSchemaProperties(schemaMap).filter(p2=>!(0,util_1.alwaysValidSchema)(it,schemaMap[p2]))}code$3.schemaProperties=schemaProperties;function callValidateCode({schemaCode,data,it:{gen,topSchemaRef,schemaPath,errorPath},
+it},func,context,passSchema){const dataAndSchema=passSchema?(0,codegen_1._)`${schemaCode}, ${data}, ${topSchemaRef}${schemaPath}`:data,valCxt=[[names_1.default.instancePath,(0,codegen_1.strConcat)(names_1.default.instancePath,errorPath)],[names_1.default.parentData,it.parentData],[names_1.default.parentDataProperty,it.parentDataProperty],[names_1.default.rootData,names_1.default.rootData]];it.opts.dynamicRef&&valCxt.push([names_1.default.dynamicAnchors,names_1.default.dynamicAnchors]);const args=(0,codegen_1.
+_)`${dataAndSchema}, ${gen.object(...valCxt)}`;return context!==codegen_1.nil?(0,codegen_1._)`${func}.call(${context}, ${args})`:(0,codegen_1._)`${func}(${args})`}code$3.callValidateCode=callValidateCode;const newRegExp=(0,codegen_1._)`new RegExp`;function usePattern({gen,it:{opts}},pattern2){const u=opts.unicodeRegExp?"u":"",{regExp}=opts.code,rx=regExp(pattern2,u);return gen.scopeValue("pattern",{key:rx.toString(),ref:rx,code:(0,codegen_1._)`${regExp.code==="new RegExp"?newRegExp:(0,util_2.useFunc)(
+gen,regExp)}(${pattern2}, ${u})`})}code$3.usePattern=usePattern;function validateArray(cxt){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");if(it.allErrors){const validArr=gen.let("valid",!0);return validateItems(()=>gen.assign(validArr,!1)),validArr}return gen.var(valid2,!0),validateItems(()=>gen.break()),valid2;function validateItems(notValid){const len=gen.const("len",(0,codegen_1._)`${data}.length`);gen.forRange("i",0,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.
+Type.Num},valid2),gen.if((0,codegen_1.not)(valid2),notValid)})}}code$3.validateArray=validateArray;function validateUnion(cxt){const{gen,schema,keyword:keyword2,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(schema.some(sch=>(0,util_1.alwaysValidSchema)(it,sch))&&!it.opts.unevaluated)return;const valid2=gen.let("valid",!1),schValid=gen.name("_valid");gen.block(()=>schema.forEach((_sch,i)=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:i,compositeRule:!0},
+schValid);gen.assign(valid2,(0,codegen_1._)`${valid2} || ${schValid}`),cxt.mergeValidEvaluated(schCxt,schValid)||gen.if((0,codegen_1.not)(valid2))})),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(!0))}return code$3.validateUnion=validateUnion,code$3}var hasRequiredKeyword;function requireKeyword(){if(hasRequiredKeyword)return keyword;hasRequiredKeyword=1,Object.defineProperty(keyword,"__esModule",{value:!0}),keyword.validateKeywordUsage=keyword.validSchemaType=keyword.funcKeywordCode=keyword.macroKeywordCode=
+void 0;const codegen_1=requireCodegen(),names_1=requireNames(),code_1=requireCode(),errors_1=requireErrors();function macroKeywordCode(cxt,def){const{gen,keyword:keyword2,schema,parentSchema,it}=cxt,macroSchema=def.macro.call(it.self,schema,parentSchema,it),schemaRef=useKeyword(gen,keyword2,macroSchema);it.opts.validateSchema!==!1&&it.self.validateSchema(macroSchema,!0);const valid2=gen.name("valid");cxt.subschema({schema:macroSchema,schemaPath:codegen_1.nil,errSchemaPath:`${it.errSchemaPath}/${keyword2}`,
+topSchemaRef:schemaRef,compositeRule:!0},valid2),cxt.pass(valid2,()=>cxt.error(!0))}keyword.macroKeywordCode=macroKeywordCode;function funcKeywordCode(cxt,def){var _a2;const{gen,keyword:keyword2,schema,parentSchema,$data,it}=cxt;checkAsyncKeyword(it,def);const validate2=!$data&&def.compile?def.compile.call(it.self,schema,parentSchema,it):def.validate,validateRef=useKeyword(gen,keyword2,validate2),valid2=gen.let("valid");cxt.block$data(valid2,validateKeyword),cxt.ok((_a2=def.valid)!==null&&_a2!==
+void 0?_a2:valid2);function validateKeyword(){if(def.errors===!1)assignValid(),def.modifying&&modifyData(cxt),reportErrs(()=>cxt.error());else{const ruleErrs=def.async?validateAsync():validateSync();def.modifying&&modifyData(cxt),reportErrs(()=>addErrs(cxt,ruleErrs))}}function validateAsync(){const ruleErrs=gen.let("ruleErrs",null);return gen.try(()=>assignValid((0,codegen_1._)`await `),e=>gen.assign(valid2,!1).if((0,codegen_1._)`${e} instanceof ${it.ValidationError}`,()=>gen.assign(ruleErrs,(0,codegen_1.
+_)`${e}.errors`),()=>gen.throw(e))),ruleErrs}function validateSync(){const validateErrs=(0,codegen_1._)`${validateRef}.errors`;return gen.assign(validateErrs,null),assignValid(codegen_1.nil),validateErrs}function assignValid(_await=def.async?(0,codegen_1._)`await `:codegen_1.nil){const passCxt=it.opts.passContext?names_1.default.this:names_1.default.self,passSchema=!("compile"in def&&!$data||def.schema===!1);gen.assign(valid2,(0,codegen_1._)`${_await}${(0,code_1.callValidateCode)(cxt,validateRef,
+passCxt,passSchema)}`,def.modifying)}function reportErrs(errors2){var _a3;gen.if((0,codegen_1.not)((_a3=def.valid)!==null&&_a3!==void 0?_a3:valid2),errors2)}}keyword.funcKeywordCode=funcKeywordCode;function modifyData(cxt){const{gen,data,it}=cxt;gen.if(it.parentData,()=>gen.assign(data,(0,codegen_1._)`${it.parentData}[${it.parentDataProperty}]`))}function addErrs(cxt,errs){const{gen}=cxt;gen.if((0,codegen_1._)`Array.isArray(${errs})`,()=>{gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.
+default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`).assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`),(0,errors_1.extendErrors)(cxt)},()=>cxt.error())}function checkAsyncKeyword({schemaEnv},def){if(def.async&&!schemaEnv.$async)throw new Error("async keyword in sync schema")}function useKeyword(gen,keyword2,result){if(result===void 0)throw new Error(`keyword "${keyword2}" failed to compile`);return gen.scopeValue("keyword",typeof result==
+"function"?{ref:result}:{ref:result,code:(0,codegen_1.stringify)(result)})}function validSchemaType(schema,schemaType,allowUndefined=!1){return!schemaType.length||schemaType.some(st=>st==="array"?Array.isArray(schema):st==="object"?schema&&typeof schema=="object"&&!Array.isArray(schema):typeof schema==st||allowUndefined&&typeof schema>"u")}keyword.validSchemaType=validSchemaType;function validateKeywordUsage({schema,opts,self:self2,errSchemaPath},def,keyword2){if(Array.isArray(def.keyword)?!def.
+keyword.includes(keyword2):def.keyword!==keyword2)throw new Error("ajv implementation error");const deps=def.dependencies;if(deps?.some(kwd=>!Object.prototype.hasOwnProperty.call(schema,kwd)))throw new Error(`parent schema must have dependencies of ${keyword2}: ${deps.join(",")}`);if(def.validateSchema&&!def.validateSchema(schema[keyword2])){const msg=`keyword "${keyword2}" value is invalid at path "${errSchemaPath}": `+self2.errorsText(def.validateSchema.errors);if(opts.validateSchema==="log")self2.
+logger.error(msg);else throw new Error(msg)}}return keyword.validateKeywordUsage=validateKeywordUsage,keyword}var subschema={},hasRequiredSubschema;function requireSubschema(){if(hasRequiredSubschema)return subschema;hasRequiredSubschema=1,Object.defineProperty(subschema,"__esModule",{value:!0}),subschema.extendSubschemaMode=subschema.extendSubschemaData=subschema.getSubschema=void 0;const codegen_1=requireCodegen(),util_1=requireUtil();function getSubschema(it,{keyword:keyword2,schemaProp,schema,
+schemaPath,errSchemaPath,topSchemaRef}){if(keyword2!==void 0&&schema!==void 0)throw new Error('both "keyword" and "schema" passed, only one allowed');if(keyword2!==void 0){const sch=it.schema[keyword2];return schemaProp===void 0?{schema:sch,schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}`}:{schema:sch[schemaProp],schemaPath:(0,codegen_1._)`${it.schemaPath}${(0,codegen_1.getProperty)(keyword2)}${(0,codegen_1.getProperty)(
+schemaProp)}`,errSchemaPath:`${it.errSchemaPath}/${keyword2}/${(0,util_1.escapeFragment)(schemaProp)}`}}if(schema!==void 0){if(schemaPath===void 0||errSchemaPath===void 0||topSchemaRef===void 0)throw new Error('"schemaPath", "errSchemaPath" and "topSchemaRef" are required with "schema"');return{schema,schemaPath,topSchemaRef,errSchemaPath}}throw new Error('either "keyword" or "schema" must be passed')}subschema.getSubschema=getSubschema;function extendSubschemaData(subschema2,it,{dataProp,dataPropType:dpType,
+data,dataTypes,propertyName}){if(data!==void 0&&dataProp!==void 0)throw new Error('both "data" and "dataProp" passed, only one allowed');const{gen}=it;if(dataProp!==void 0){const{errorPath,dataPathArr,opts}=it,nextData=gen.let("data",(0,codegen_1._)`${it.data}${(0,codegen_1.getProperty)(dataProp)}`,!0);dataContextProps(nextData),subschema2.errorPath=(0,codegen_1.str)`${errorPath}${(0,util_1.getErrorPath)(dataProp,dpType,opts.jsPropertySyntax)}`,subschema2.parentDataProperty=(0,codegen_1._)`${dataProp}`,
+subschema2.dataPathArr=[...dataPathArr,subschema2.parentDataProperty]}if(data!==void 0){const nextData=data instanceof codegen_1.Name?data:gen.let("data",data,!0);dataContextProps(nextData),propertyName!==void 0&&(subschema2.propertyName=propertyName)}dataTypes&&(subschema2.dataTypes=dataTypes);function dataContextProps(_nextData){subschema2.data=_nextData,subschema2.dataLevel=it.dataLevel+1,subschema2.dataTypes=[],it.definedProperties=new Set,subschema2.parentData=it.data,subschema2.dataNames=[
+...it.dataNames,_nextData]}}subschema.extendSubschemaData=extendSubschemaData;function extendSubschemaMode(subschema2,{jtdDiscriminator,jtdMetadata,compositeRule,createErrors,allErrors}){compositeRule!==void 0&&(subschema2.compositeRule=compositeRule),createErrors!==void 0&&(subschema2.createErrors=createErrors),allErrors!==void 0&&(subschema2.allErrors=allErrors),subschema2.jtdDiscriminator=jtdDiscriminator,subschema2.jtdMetadata=jtdMetadata}return subschema.extendSubschemaMode=extendSubschemaMode,
+subschema}var resolve={},jsonSchemaTraverse={exports:{}},hasRequiredJsonSchemaTraverse;function requireJsonSchemaTraverse(){if(hasRequiredJsonSchemaTraverse)return jsonSchemaTraverse.exports;hasRequiredJsonSchemaTraverse=1;var traverse=jsonSchemaTraverse.exports=function(schema,opts,cb){typeof opts=="function"&&(cb=opts,opts={}),cb=opts.cb||cb;var pre=typeof cb=="function"?cb:cb.pre||function(){},post=cb.post||function(){};_traverse(opts,pre,post,schema,"",schema)};traverse.keywords={additionalItems:!0,
+items:!0,contains:!0,additionalProperties:!0,propertyNames:!0,not:!0,if:!0,then:!0,else:!0},traverse.arrayKeywords={items:!0,allOf:!0,anyOf:!0,oneOf:!0},traverse.propsKeywords={$defs:!0,definitions:!0,properties:!0,patternProperties:!0,dependencies:!0},traverse.skipKeywords={default:!0,enum:!0,const:!0,required:!0,maximum:!0,minimum:!0,exclusiveMaximum:!0,exclusiveMinimum:!0,multipleOf:!0,maxLength:!0,minLength:!0,pattern:!0,format:!0,maxItems:!0,minItems:!0,uniqueItems:!0,maxProperties:!0,minProperties:!0};
+function _traverse(opts,pre,post,schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex){if(schema&&typeof schema=="object"&&!Array.isArray(schema)){pre(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex);for(var key2 in schema){var sch=schema[key2];if(Array.isArray(sch)){if(key2 in traverse.arrayKeywords)for(var i=0;i<sch.length;i++)_traverse(opts,pre,post,sch[i],jsonPtr+"/"+key2+"/"+i,rootSchema,jsonPtr,key2,schema,i)}else if(key2 in traverse.propsKeywords){
+if(sch&&typeof sch=="object")for(var prop2 in sch)_traverse(opts,pre,post,sch[prop2],jsonPtr+"/"+key2+"/"+escapeJsonPtr(prop2),rootSchema,jsonPtr,key2,schema,prop2)}else(key2 in traverse.keywords||opts.allKeys&&!(key2 in traverse.skipKeywords))&&_traverse(opts,pre,post,sch,jsonPtr+"/"+key2,rootSchema,jsonPtr,key2,schema)}post(schema,jsonPtr,rootSchema,parentJsonPtr,parentKeyword,parentSchema,keyIndex)}}function escapeJsonPtr(str){return str.replace(/~/g,"~0").replace(/\//g,"~1")}return jsonSchemaTraverse.
+exports}var hasRequiredResolve;function requireResolve(){if(hasRequiredResolve)return resolve;hasRequiredResolve=1,Object.defineProperty(resolve,"__esModule",{value:!0}),resolve.getSchemaRefs=resolve.resolveUrl=resolve.normalizeId=resolve._getFullPath=resolve.getFullPath=resolve.inlineRef=void 0;const util_1=requireUtil(),equal2=requireFastDeepEqual(),traverse=requireJsonSchemaTraverse(),SIMPLE_INLINED=new Set(["type","format","pattern","maxLength","minLength","maxProperties","minProperties","ma\
+xItems","minItems","maximum","minimum","uniqueItems","multipleOf","required","enum","const"]);function inlineRef(schema,limit2=!0){return typeof schema=="boolean"?!0:limit2===!0?!hasRef(schema):limit2?countKeys(schema)<=limit2:!1}resolve.inlineRef=inlineRef;const REF_KEYWORDS=new Set(["$ref","$recursiveRef","$recursiveAnchor","$dynamicRef","$dynamicAnchor"]);function hasRef(schema){for(const key2 in schema){if(REF_KEYWORDS.has(key2))return!0;const sch=schema[key2];if(Array.isArray(sch)&&sch.some(
+hasRef)||typeof sch=="object"&&hasRef(sch))return!0}return!1}function countKeys(schema){let count=0;for(const key2 in schema){if(key2==="$ref")return 1/0;if(count++,!SIMPLE_INLINED.has(key2)&&(typeof schema[key2]=="object"&&(0,util_1.eachItem)(schema[key2],sch=>count+=countKeys(sch)),count===1/0))return 1/0}return count}function getFullPath(resolver2,id2="",normalize2){normalize2!==!1&&(id2=normalizeId(id2));const p2=resolver2.parse(id2);return _getFullPath(resolver2,p2)}resolve.getFullPath=getFullPath;
+function _getFullPath(resolver2,p2){return resolver2.serialize(p2).split("#")[0]+"#"}resolve._getFullPath=_getFullPath;const TRAILING_SLASH_HASH=/#\/?$/;function normalizeId(id2){return id2?id2.replace(TRAILING_SLASH_HASH,""):""}resolve.normalizeId=normalizeId;function resolveUrl(resolver2,baseId,id2){return id2=normalizeId(id2),resolver2.resolve(baseId,id2)}resolve.resolveUrl=resolveUrl;const ANCHOR=/^[a-z_][-a-z0-9._]*$/i;function getSchemaRefs(schema,baseId){if(typeof schema=="boolean")return{};
+const{schemaId,uriResolver}=this.opts,schId=normalizeId(schema[schemaId]||baseId),baseIds={"":schId},pathPrefix=getFullPath(uriResolver,schId,!1),localRefs={},schemaRefs=new Set;return traverse(schema,{allKeys:!0},(sch,jsonPtr,_,parentJsonPtr)=>{if(parentJsonPtr===void 0)return;const fullPath=pathPrefix+jsonPtr;let innerBaseId=baseIds[parentJsonPtr];typeof sch[schemaId]=="string"&&(innerBaseId=addRef.call(this,sch[schemaId])),addAnchor.call(this,sch.$anchor),addAnchor.call(this,sch.$dynamicAnchor),
+baseIds[jsonPtr]=innerBaseId;function addRef(ref2){const _resolve=this.opts.uriResolver.resolve;if(ref2=normalizeId(innerBaseId?_resolve(innerBaseId,ref2):ref2),schemaRefs.has(ref2))throw ambiguos(ref2);schemaRefs.add(ref2);let schOrRef=this.refs[ref2];return typeof schOrRef=="string"&&(schOrRef=this.refs[schOrRef]),typeof schOrRef=="object"?checkAmbiguosRef(sch,schOrRef.schema,ref2):ref2!==normalizeId(fullPath)&&(ref2[0]==="#"?(checkAmbiguosRef(sch,localRefs[ref2],ref2),localRefs[ref2]=sch):this.
+refs[ref2]=fullPath),ref2}function addAnchor(anchor){if(typeof anchor=="string"){if(!ANCHOR.test(anchor))throw new Error(`invalid anchor "${anchor}"`);addRef.call(this,`#${anchor}`)}}}),localRefs;function checkAmbiguosRef(sch1,sch2,ref2){if(sch2!==void 0&&!equal2(sch1,sch2))throw ambiguos(ref2)}function ambiguos(ref2){return new Error(`reference "${ref2}" resolves to more than one schema`)}}return resolve.getSchemaRefs=getSchemaRefs,resolve}var hasRequiredValidate;function requireValidate(){if(hasRequiredValidate)
+return validate;hasRequiredValidate=1,Object.defineProperty(validate,"__esModule",{value:!0}),validate.getData=validate.KeywordCxt=validate.validateFunctionCode=void 0;const boolSchema_1=requireBoolSchema(),dataType_1=requireDataType(),applicability_1=requireApplicability(),dataType_2=requireDataType(),defaults_1=requireDefaults(),keyword_1=requireKeyword(),subschema_1=requireSubschema(),codegen_1=requireCodegen(),names_1=requireNames(),resolve_1=requireResolve(),util_1=requireUtil(),errors_1=requireErrors();
+function validateFunctionCode(it){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(it))){topSchemaObjCode(it);return}validateFunction(it,()=>(0,boolSchema_1.topBoolOrEmptySchema)(it))}validate.validateFunctionCode=validateFunctionCode;function validateFunction({gen,validateName,schema,schemaEnv,opts},body2){opts.code.es5?gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${names_1.default.valCxt}`,schemaEnv.$async,()=>{gen.code((0,codegen_1._)`"use strict"; ${funcSourceUrl(schema,
+opts)}`),destructureValCxtES5(gen,opts),gen.code(body2)}):gen.func(validateName,(0,codegen_1._)`${names_1.default.data}, ${destructureValCxt(opts)}`,schemaEnv.$async,()=>gen.code(funcSourceUrl(schema,opts)).code(body2))}function destructureValCxt(opts){return(0,codegen_1._)`{${names_1.default.instancePath}="", ${names_1.default.parentData}, ${names_1.default.parentDataProperty}, ${names_1.default.rootData}=${names_1.default.data}${opts.dynamicRef?(0,codegen_1._)`, ${names_1.default.dynamicAnchors}={}`:
+codegen_1.nil}}={}`}function destructureValCxtES5(gen,opts){gen.if(names_1.default.valCxt,()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.instancePath}`),gen.var(names_1.default.parentData,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentData}`),gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.parentDataProperty}`),gen.var(names_1.default.rootData,(0,codegen_1._)`${names_1.
+default.valCxt}.${names_1.default.rootData}`),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1._)`${names_1.default.valCxt}.${names_1.default.dynamicAnchors}`)},()=>{gen.var(names_1.default.instancePath,(0,codegen_1._)`""`),gen.var(names_1.default.parentData,(0,codegen_1._)`undefined`),gen.var(names_1.default.parentDataProperty,(0,codegen_1._)`undefined`),gen.var(names_1.default.rootData,names_1.default.data),opts.dynamicRef&&gen.var(names_1.default.dynamicAnchors,(0,codegen_1.
+_)`{}`)})}function topSchemaObjCode(it){const{schema,opts,gen}=it;validateFunction(it,()=>{opts.$comment&&schema.$comment&&commentKeyword(it),checkNoDefault(it),gen.let(names_1.default.vErrors,null),gen.let(names_1.default.errors,0),opts.unevaluated&&resetEvaluated(it),typeAndKeywords(it),returnResults(it)})}function resetEvaluated(it){const{gen,validateName}=it;it.evaluated=gen.const("evaluated",(0,codegen_1._)`${validateName}.evaluated`),gen.if((0,codegen_1._)`${it.evaluated}.dynamicProps`,()=>gen.
+assign((0,codegen_1._)`${it.evaluated}.props`,(0,codegen_1._)`undefined`)),gen.if((0,codegen_1._)`${it.evaluated}.dynamicItems`,()=>gen.assign((0,codegen_1._)`${it.evaluated}.items`,(0,codegen_1._)`undefined`))}function funcSourceUrl(schema,opts){const schId=typeof schema=="object"&&schema[opts.schemaId];return schId&&(opts.code.source||opts.code.process)?(0,codegen_1._)`/*# sourceURL=${schId} */`:codegen_1.nil}function subschemaCode(it,valid2){if(isSchemaObj(it)&&(checkKeywords(it),schemaCxtHasRules(
+it))){subSchemaObjCode(it,valid2);return}(0,boolSchema_1.boolOrEmptySchema)(it,valid2)}function schemaCxtHasRules({schema,self:self2}){if(typeof schema=="boolean")return!schema;for(const key2 in schema)if(self2.RULES.all[key2])return!0;return!1}function isSchemaObj(it){return typeof it.schema!="boolean"}function subSchemaObjCode(it,valid2){const{schema,gen,opts}=it;opts.$comment&&schema.$comment&&commentKeyword(it),updateContext(it),checkAsyncSchema(it);const errsCount=gen.const("_errs",names_1.
+default.errors);typeAndKeywords(it,errsCount),gen.var(valid2,(0,codegen_1._)`${errsCount} === ${names_1.default.errors}`)}function checkKeywords(it){(0,util_1.checkUnknownRules)(it),checkRefsAndKeywords(it)}function typeAndKeywords(it,errsCount){if(it.opts.jtd)return schemaKeywords(it,[],!1,errsCount);const types2=(0,dataType_1.getSchemaTypes)(it.schema),checkedTypes=(0,dataType_1.coerceAndCheckDataType)(it,types2);schemaKeywords(it,types2,!checkedTypes,errsCount)}function checkRefsAndKeywords(it){
+const{schema,errSchemaPath,opts,self:self2}=it;schema.$ref&&opts.ignoreKeywordsWithRef&&(0,util_1.schemaHasRulesButRef)(schema,self2.RULES)&&self2.logger.warn(`$ref: keywords ignored in schema at path "${errSchemaPath}"`)}function checkNoDefault(it){const{schema,opts}=it;schema.default!==void 0&&opts.useDefaults&&opts.strictSchema&&(0,util_1.checkStrictMode)(it,"default is ignored in the schema root")}function updateContext(it){const schId=it.schema[it.opts.schemaId];schId&&(it.baseId=(0,resolve_1.
+resolveUrl)(it.opts.uriResolver,it.baseId,schId))}function checkAsyncSchema(it){if(it.schema.$async&&!it.schemaEnv.$async)throw new Error("async schema in sync schema")}function commentKeyword({gen,schemaEnv,schema,errSchemaPath,opts}){const msg=schema.$comment;if(opts.$comment===!0)gen.code((0,codegen_1._)`${names_1.default.self}.logger.log(${msg})`);else if(typeof opts.$comment=="function"){const schemaPath=(0,codegen_1.str)`${errSchemaPath}/$comment`,rootName=gen.scopeValue("root",{ref:schemaEnv.
+root});gen.code((0,codegen_1._)`${names_1.default.self}.opts.$comment(${msg}, ${schemaPath}, ${rootName}.schema)`)}}function returnResults(it){const{gen,schemaEnv,validateName,ValidationError,opts}=it;schemaEnv.$async?gen.if((0,codegen_1._)`${names_1.default.errors} === 0`,()=>gen.return(names_1.default.data),()=>gen.throw((0,codegen_1._)`new ${ValidationError}(${names_1.default.vErrors})`)):(gen.assign((0,codegen_1._)`${validateName}.errors`,names_1.default.vErrors),opts.unevaluated&&assignEvaluated(
+it),gen.return((0,codegen_1._)`${names_1.default.errors} === 0`))}function assignEvaluated({gen,evaluated,props,items:items2}){props instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.props`,props),items2 instanceof codegen_1.Name&&gen.assign((0,codegen_1._)`${evaluated}.items`,items2)}function schemaKeywords(it,types2,typeErrors,errsCount){const{gen,schema,data,allErrors,opts,self:self2}=it,{RULES}=self2;if(schema.$ref&&(opts.ignoreKeywordsWithRef||!(0,util_1.schemaHasRulesButRef)(
+schema,RULES))){gen.block(()=>keywordCode(it,"$ref",RULES.all.$ref.definition));return}opts.jtd||checkStrictTypes(it,types2),gen.block(()=>{for(const group of RULES.rules)groupKeywords(group);groupKeywords(RULES.post)});function groupKeywords(group){(0,applicability_1.shouldUseGroup)(schema,group)&&(group.type?(gen.if((0,dataType_2.checkDataType)(group.type,data,opts.strictNumbers)),iterateKeywords(it,group),types2.length===1&&types2[0]===group.type&&typeErrors&&(gen.else(),(0,dataType_2.reportTypeError)(
+it)),gen.endIf()):iterateKeywords(it,group),allErrors||gen.if((0,codegen_1._)`${names_1.default.errors} === ${errsCount||0}`))}}function iterateKeywords(it,group){const{gen,schema,opts:{useDefaults}}=it;useDefaults&&(0,defaults_1.assignDefaults)(it,group.type),gen.block(()=>{for(const rule of group.rules)(0,applicability_1.shouldUseRule)(schema,rule)&&keywordCode(it,rule.keyword,rule.definition,group.type)})}function checkStrictTypes(it,types2){it.schemaEnv.meta||!it.opts.strictTypes||(checkContextTypes(
+it,types2),it.opts.allowUnionTypes||checkMultipleTypes(it,types2),checkKeywordTypes(it,it.dataTypes))}function checkContextTypes(it,types2){if(types2.length){if(!it.dataTypes.length){it.dataTypes=types2;return}types2.forEach(t=>{includesType(it.dataTypes,t)||strictTypesError(it,`type "${t}" not allowed by context "${it.dataTypes.join(",")}"`)}),narrowSchemaTypes(it,types2)}}function checkMultipleTypes(it,ts){ts.length>1&&!(ts.length===2&&ts.includes("null"))&&strictTypesError(it,"use allowUnionT\
+ypes to allow union type keyword")}function checkKeywordTypes(it,ts){const rules2=it.self.RULES.all;for(const keyword2 in rules2){const rule=rules2[keyword2];if(typeof rule=="object"&&(0,applicability_1.shouldUseRule)(it.schema,rule)){const{type:type2}=rule.definition;type2.length&&!type2.some(t=>hasApplicableType(ts,t))&&strictTypesError(it,`missing type "${type2.join(",")}" for keyword "${keyword2}"`)}}}function hasApplicableType(schTs,kwdT){return schTs.includes(kwdT)||kwdT==="number"&&schTs.
+includes("integer")}function includesType(ts,t){return ts.includes(t)||t==="integer"&&ts.includes("number")}function narrowSchemaTypes(it,withTypes){const ts=[];for(const t of it.dataTypes)includesType(withTypes,t)?ts.push(t):withTypes.includes("integer")&&t==="number"&&ts.push("integer");it.dataTypes=ts}function strictTypesError(it,msg){const schemaPath=it.schemaEnv.baseId+it.errSchemaPath;msg+=` at "${schemaPath}" (strictTypes)`,(0,util_1.checkStrictMode)(it,msg,it.opts.strictTypes)}class KeywordCxt{constructor(it,def,keyword2){
+if((0,keyword_1.validateKeywordUsage)(it,def,keyword2),this.gen=it.gen,this.allErrors=it.allErrors,this.keyword=keyword2,this.data=it.data,this.schema=it.schema[keyword2],this.$data=def.$data&&it.opts.$data&&this.schema&&this.schema.$data,this.schemaValue=(0,util_1.schemaRefOrVal)(it,this.schema,keyword2,this.$data),this.schemaType=def.schemaType,this.parentSchema=it.schema,this.params={},this.it=it,this.def=def,this.$data)this.schemaCode=it.gen.const("vSchema",getData(this.$data,it));else if(this.
+schemaCode=this.schemaValue,!(0,keyword_1.validSchemaType)(this.schema,def.schemaType,def.allowUndefined))throw new Error(`${keyword2} value must be ${JSON.stringify(def.schemaType)}`);("code"in def?def.trackErrors:def.errors!==!1)&&(this.errsCount=it.gen.const("_errs",names_1.default.errors))}result(condition,successAction,failAction){this.failResult((0,codegen_1.not)(condition),successAction,failAction)}failResult(condition,successAction,failAction){this.gen.if(condition),failAction?failAction():
+this.error(),successAction?(this.gen.else(),successAction(),this.allErrors&&this.gen.endIf()):this.allErrors?this.gen.endIf():this.gen.else()}pass(condition,failAction){this.failResult((0,codegen_1.not)(condition),void 0,failAction)}fail(condition){if(condition===void 0){this.error(),this.allErrors||this.gen.if(!1);return}this.gen.if(condition),this.error(),this.allErrors?this.gen.endIf():this.gen.else()}fail$data(condition){if(!this.$data)return this.fail(condition);const{schemaCode}=this;this.
+fail((0,codegen_1._)`${schemaCode} !== undefined && (${(0,codegen_1.or)(this.invalid$data(),condition)})`)}error(append2,errorParams,errorPaths){if(errorParams){this.setParams(errorParams),this._error(append2,errorPaths),this.setParams({});return}this._error(append2,errorPaths)}_error(append2,errorPaths){(append2?errors_1.reportExtraError:errors_1.reportError)(this,this.def.error,errorPaths)}$dataError(){(0,errors_1.reportError)(this,this.def.$dataError||errors_1.keyword$DataError)}reset(){if(this.
+errsCount===void 0)throw new Error('add "trackErrors" to keyword definition');(0,errors_1.resetErrorsCount)(this.gen,this.errsCount)}ok(cond){this.allErrors||this.gen.if(cond)}setParams(obj,assign){assign?Object.assign(this.params,obj):this.params=obj}block$data(valid2,codeBlock,$dataValid=codegen_1.nil){this.gen.block(()=>{this.check$data(valid2,$dataValid),codeBlock()})}check$data(valid2=codegen_1.nil,$dataValid=codegen_1.nil){if(!this.$data)return;const{gen,schemaCode,schemaType,def}=this;gen.
+if((0,codegen_1.or)((0,codegen_1._)`${schemaCode} === undefined`,$dataValid)),valid2!==codegen_1.nil&&gen.assign(valid2,!0),(schemaType.length||def.validateSchema)&&(gen.elseIf(this.invalid$data()),this.$dataError(),valid2!==codegen_1.nil&&gen.assign(valid2,!1)),gen.else()}invalid$data(){const{gen,schemaCode,schemaType,def,it}=this;return(0,codegen_1.or)(wrong$DataType(),invalid$DataSchema());function wrong$DataType(){if(schemaType.length){if(!(schemaCode instanceof codegen_1.Name))throw new Error(
+"ajv implementation error");const st=Array.isArray(schemaType)?schemaType:[schemaType];return(0,codegen_1._)`${(0,dataType_2.checkDataTypes)(st,schemaCode,it.opts.strictNumbers,dataType_2.DataType.Wrong)}`}return codegen_1.nil}function invalid$DataSchema(){if(def.validateSchema){const validateSchemaRef=gen.scopeValue("validate$data",{ref:def.validateSchema});return(0,codegen_1._)`!${validateSchemaRef}(${schemaCode})`}return codegen_1.nil}}subschema(appl,valid2){const subschema2=(0,subschema_1.getSubschema)(
+this.it,appl);(0,subschema_1.extendSubschemaData)(subschema2,this.it,appl),(0,subschema_1.extendSubschemaMode)(subschema2,appl);const nextContext={...this.it,...subschema2,items:void 0,props:void 0};return subschemaCode(nextContext,valid2),nextContext}mergeEvaluated(schemaCxt,toName){const{it,gen}=this;it.opts.unevaluated&&(it.props!==!0&&schemaCxt.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schemaCxt.props,it.props,toName)),it.items!==!0&&schemaCxt.items!==void 0&&(it.items=util_1.
+mergeEvaluated.items(gen,schemaCxt.items,it.items,toName)))}mergeValidEvaluated(schemaCxt,valid2){const{it,gen}=this;if(it.opts.unevaluated&&(it.props!==!0||it.items!==!0))return gen.if(valid2,()=>this.mergeEvaluated(schemaCxt,codegen_1.Name)),!0}}validate.KeywordCxt=KeywordCxt;function keywordCode(it,keyword2,def,ruleType){const cxt=new KeywordCxt(it,def,keyword2);"code"in def?def.code(cxt,ruleType):cxt.$data&&def.validate?(0,keyword_1.funcKeywordCode)(cxt,def):"macro"in def?(0,keyword_1.macroKeywordCode)(
+cxt,def):(def.compile||def.validate)&&(0,keyword_1.funcKeywordCode)(cxt,def)}const JSON_POINTER=/^\/(?:[^~]|~0|~1)*$/,RELATIVE_JSON_POINTER=/^([0-9]+)(#|\/(?:[^~]|~0|~1)*)?$/;function getData($data,{dataLevel,dataNames,dataPathArr}){let jsonPointer,data;if($data==="")return names_1.default.rootData;if($data[0]==="/"){if(!JSON_POINTER.test($data))throw new Error(`Invalid JSON-pointer: ${$data}`);jsonPointer=$data,data=names_1.default.rootData}else{const matches2=RELATIVE_JSON_POINTER.exec($data);
+if(!matches2)throw new Error(`Invalid JSON-pointer: ${$data}`);const up=+matches2[1];if(jsonPointer=matches2[2],jsonPointer==="#"){if(up>=dataLevel)throw new Error(errorMsg("property/index",up));return dataPathArr[dataLevel-up]}if(up>dataLevel)throw new Error(errorMsg("data",up));if(data=dataNames[dataLevel-up],!jsonPointer)return data}let expr=data;const segments=jsonPointer.split("/");for(const segment of segments)segment&&(data=(0,codegen_1._)`${data}${(0,codegen_1.getProperty)((0,util_1.unescapeJsonPointer)(
+segment))}`,expr=(0,codegen_1._)`${expr} && ${data}`);return expr;function errorMsg(pointerType,up){return`Cannot access ${pointerType} ${up} levels up, current level is ${dataLevel}`}}return validate.getData=getData,validate}var validation_error={},hasRequiredValidation_error;function requireValidation_error(){if(hasRequiredValidation_error)return validation_error;hasRequiredValidation_error=1,Object.defineProperty(validation_error,"__esModule",{value:!0});class ValidationError extends Error{constructor(errors2){
+super("validation failed"),this.errors=errors2,this.ajv=this.validation=!0}}return validation_error.default=ValidationError,validation_error}var ref_error={},hasRequiredRef_error;function requireRef_error(){if(hasRequiredRef_error)return ref_error;hasRequiredRef_error=1,Object.defineProperty(ref_error,"__esModule",{value:!0});const resolve_1=requireResolve();class MissingRefError extends Error{constructor(resolver2,baseId,ref2,msg){super(msg||`can't resolve reference ${ref2} from id ${baseId}`),
+this.missingRef=(0,resolve_1.resolveUrl)(resolver2,baseId,ref2),this.missingSchema=(0,resolve_1.normalizeId)((0,resolve_1.getFullPath)(resolver2,this.missingRef))}}return ref_error.default=MissingRefError,ref_error}var compile={},hasRequiredCompile;function requireCompile(){if(hasRequiredCompile)return compile;hasRequiredCompile=1,Object.defineProperty(compile,"__esModule",{value:!0}),compile.resolveSchema=compile.getCompilingSchema=compile.resolveRef=compile.compileSchema=compile.SchemaEnv=void 0;
+const codegen_1=requireCodegen(),validation_error_1=requireValidation_error(),names_1=requireNames(),resolve_1=requireResolve(),util_1=requireUtil(),validate_1=requireValidate();class SchemaEnv{constructor(env2){var _a2;this.refs={},this.dynamicAnchors={};let schema;typeof env2.schema=="object"&&(schema=env2.schema),this.schema=env2.schema,this.schemaId=env2.schemaId,this.root=env2.root||this,this.baseId=(_a2=env2.baseId)!==null&&_a2!==void 0?_a2:(0,resolve_1.normalizeId)(schema?.[env2.schemaId||
+"$id"]),this.schemaPath=env2.schemaPath,this.localRefs=env2.localRefs,this.meta=env2.meta,this.$async=schema?.$async,this.refs={}}}compile.SchemaEnv=SchemaEnv;function compileSchema(sch){const _sch=getCompilingSchema.call(this,sch);if(_sch)return _sch;const rootId=(0,resolve_1.getFullPath)(this.opts.uriResolver,sch.root.baseId),{es5,lines}=this.opts.code,{ownProperties}=this.opts,gen=new codegen_1.CodeGen(this.scope,{es5,lines,ownProperties});let _ValidationError;sch.$async&&(_ValidationError=gen.
+scopeValue("Error",{ref:validation_error_1.default,code:(0,codegen_1._)`require("ajv/dist/runtime/validation_error").default`}));const validateName=gen.scopeName("validate");sch.validateName=validateName;const schemaCxt={gen,allErrors:this.opts.allErrors,data:names_1.default.data,parentData:names_1.default.parentData,parentDataProperty:names_1.default.parentDataProperty,dataNames:[names_1.default.data],dataPathArr:[codegen_1.nil],dataLevel:0,dataTypes:[],definedProperties:new Set,topSchemaRef:gen.
+scopeValue("schema",this.opts.code.source===!0?{ref:sch.schema,code:(0,codegen_1.stringify)(sch.schema)}:{ref:sch.schema}),validateName,ValidationError:_ValidationError,schema:sch.schema,schemaEnv:sch,rootId,baseId:sch.baseId||rootId,schemaPath:codegen_1.nil,errSchemaPath:sch.schemaPath||(this.opts.jtd?"":"#"),errorPath:(0,codegen_1._)`""`,opts:this.opts,self:this};let sourceCode;try{this._compilations.add(sch),(0,validate_1.validateFunctionCode)(schemaCxt),gen.optimize(this.opts.code.optimize);
+const validateCode=gen.toString();sourceCode=`${gen.scopeRefs(names_1.default.scope)}return ${validateCode}`,this.opts.code.process&&(sourceCode=this.opts.code.process(sourceCode,sch));const validate2=new Function(`${names_1.default.self}`,`${names_1.default.scope}`,sourceCode)(this,this.scope.get());if(this.scope.value(validateName,{ref:validate2}),validate2.errors=null,validate2.schema=sch.schema,validate2.schemaEnv=sch,sch.$async&&(validate2.$async=!0),this.opts.code.source===!0&&(validate2.source=
+{validateName,validateCode,scopeValues:gen._values}),this.opts.unevaluated){const{props,items:items2}=schemaCxt;validate2.evaluated={props:props instanceof codegen_1.Name?void 0:props,items:items2 instanceof codegen_1.Name?void 0:items2,dynamicProps:props instanceof codegen_1.Name,dynamicItems:items2 instanceof codegen_1.Name},validate2.source&&(validate2.source.evaluated=(0,codegen_1.stringify)(validate2.evaluated))}return sch.validate=validate2,sch}catch(e){throw delete sch.validate,delete sch.
+validateName,sourceCode&&this.logger.error("Error compiling schema, function code:",sourceCode),e}finally{this._compilations.delete(sch)}}compile.compileSchema=compileSchema;function resolveRef(root2,baseId,ref2){var _a2;ref2=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,ref2);const schOrFunc=root2.refs[ref2];if(schOrFunc)return schOrFunc;let _sch=resolve2.call(this,root2,ref2);if(_sch===void 0){const schema=(_a2=root2.localRefs)===null||_a2===void 0?void 0:_a2[ref2],{schemaId}=this.opts;
+schema&&(_sch=new SchemaEnv({schema,schemaId,root:root2,baseId}))}if(_sch!==void 0)return root2.refs[ref2]=inlineOrCompile.call(this,_sch)}compile.resolveRef=resolveRef;function inlineOrCompile(sch){return(0,resolve_1.inlineRef)(sch.schema,this.opts.inlineRefs)?sch.schema:sch.validate?sch:compileSchema.call(this,sch)}function getCompilingSchema(schEnv){for(const sch of this._compilations)if(sameSchemaEnv(sch,schEnv))return sch}compile.getCompilingSchema=getCompilingSchema;function sameSchemaEnv(s1,s2){
+return s1.schema===s2.schema&&s1.root===s2.root&&s1.baseId===s2.baseId}function resolve2(root2,ref2){let sch;for(;typeof(sch=this.refs[ref2])=="string";)ref2=sch;return sch||this.schemas[ref2]||resolveSchema.call(this,root2,ref2)}function resolveSchema(root2,ref2){const p2=this.opts.uriResolver.parse(ref2),refPath=(0,resolve_1._getFullPath)(this.opts.uriResolver,p2);let baseId=(0,resolve_1.getFullPath)(this.opts.uriResolver,root2.baseId,void 0);if(Object.keys(root2.schema).length>0&&refPath===baseId)
+return getJsonPointer.call(this,p2,root2);const id2=(0,resolve_1.normalizeId)(refPath),schOrRef=this.refs[id2]||this.schemas[id2];if(typeof schOrRef=="string"){const sch=resolveSchema.call(this,root2,schOrRef);return typeof sch?.schema!="object"?void 0:getJsonPointer.call(this,p2,sch)}if(typeof schOrRef?.schema=="object"){if(schOrRef.validate||compileSchema.call(this,schOrRef),id2===(0,resolve_1.normalizeId)(ref2)){const{schema}=schOrRef,{schemaId}=this.opts,schId=schema[schemaId];return schId&&
+(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId)),new SchemaEnv({schema,schemaId,root:root2,baseId})}return getJsonPointer.call(this,p2,schOrRef)}}compile.resolveSchema=resolveSchema;const PREVENT_SCOPE_CHANGE=new Set(["properties","patternProperties","enum","dependencies","definitions"]);function getJsonPointer(parsedRef,{baseId,schema,root:root2}){var _a2;if(((_a2=parsedRef.fragment)===null||_a2===void 0?void 0:_a2[0])!=="/")return;for(const part of parsedRef.fragment.slice(
+1).split("/")){if(typeof schema=="boolean")return;const partSchema=schema[(0,util_1.unescapeFragment)(part)];if(partSchema===void 0)return;schema=partSchema;const schId=typeof schema=="object"&&schema[this.opts.schemaId];!PREVENT_SCOPE_CHANGE.has(part)&&schId&&(baseId=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,schId))}let env2;if(typeof schema!="boolean"&&schema.$ref&&!(0,util_1.schemaHasRulesButRef)(schema,this.RULES)){const $ref=(0,resolve_1.resolveUrl)(this.opts.uriResolver,baseId,
+schema.$ref);env2=resolveSchema.call(this,root2,$ref)}const{schemaId}=this.opts;if(env2=env2||new SchemaEnv({schema,schemaId,root:root2,baseId}),env2.schema!==env2.root.schema)return env2}return compile}const $id$1="https://raw.githubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#",description="Meta-schema for $data reference (JSON AnySchema extension proposal)",type$1="object",required$1=["$data"],properties$3={$data:{type:"string",anyOf:[{format:"relative-json-pointer"},{format:"j\
+son-pointer"}]}},additionalProperties$1=!1,require$$9={$id:$id$1,description,type:type$1,required:required$1,properties:properties$3,additionalProperties:additionalProperties$1};var uri={},hasRequiredUri;function requireUri(){if(hasRequiredUri)return uri;hasRequiredUri=1,Object.defineProperty(uri,"__esModule",{value:!0});const uri$12=requireFastUri();return uri$12.code='require("ajv/dist/runtime/uri").default',uri.default=uri$12,uri}var hasRequiredCore$1;function requireCore$1(){return hasRequiredCore$1||
+(hasRequiredCore$1=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.CodeGen=exports$1.Name=exports$1.nil=exports$1.stringify=exports$1.str=exports$1._=exports$1.KeywordCxt=void 0;var validate_1=requireValidate();Object.defineProperty(exports$1,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen();Object.defineProperty(exports$1,"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(
+exports$1,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports$1,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports$1,"CodeGen",{enumerable:!0,get:function(){return codegen_1.CodeGen}});const validation_error_1=requireValidation_error(),
+ref_error_1=requireRef_error(),rules_1=requireRules(),compile_1=requireCompile(),codegen_2=requireCodegen(),resolve_1=requireResolve(),dataType_1=requireDataType(),util_1=requireUtil(),$dataRefSchema=require$$9,uri_1=requireUri(),defaultRegExp=(str,flags2)=>new RegExp(str,flags2);defaultRegExp.code="new RegExp";const META_IGNORE_OPTIONS=["removeAdditional","useDefaults","coerceTypes"],EXT_SCOPE_NAMES=new Set(["validate","serialize","parse","wrapper","root","schema","keyword","pattern","formats",
+"validate$data","func","obj","Error"]),removedOptions={errorDataPath:"",format:"`validateFormats: false` can be used instead.",nullable:'"nullable" keyword is supported by default.',jsonPointers:"Deprecated jsPropertySyntax can be used instead.",extendRefs:"Deprecated ignoreKeywordsWithRef can be used instead.",missingRefs:"Pass empty schema with $id that should be ignored to ajv.addSchema.",processCode:"Use option `code: {process: (code, schemaEnv: object) => string}`",sourceCode:"Use option `c\
+ode: {source: true}`",strictDefaults:"It is default now, see option `strict`.",strictKeywords:"It is default now, see option `strict`.",uniqueItems:'"uniqueItems" keyword is always validated.',unknownFormats:"Disable strict mode or pass `true` to `ajv.addFormat` (or `formats` option).",cache:"Map is used as cache, schema object as key.",serialize:"Map is used as cache, schema object as key.",ajvErrors:"It is default now."},deprecatedOptions={ignoreKeywordsWithRef:"",jsPropertySyntax:"",unicode:'\
+"minLength"/"maxLength" account for unicode characters by default.'},MAX_EXPRESSION=200;function requiredOptions(o){var _a2,_b,_c,_d,_e,_f,_g,_h,_j,_k,_l,_m,_o,_p,_q,_r,_s,_t,_u,_v,_w,_x,_y,_z,_02;const s2=o.strict,_optz=(_a2=o.code)===null||_a2===void 0?void 0:_a2.optimize,optimize=_optz===!0||_optz===void 0?1:_optz||0,regExp=(_c=(_b=o.code)===null||_b===void 0?void 0:_b.regExp)!==null&&_c!==void 0?_c:defaultRegExp,uriResolver=(_d=o.uriResolver)!==null&&_d!==void 0?_d:uri_1.default;return{strictSchema:(_f=
+(_e=o.strictSchema)!==null&&_e!==void 0?_e:s2)!==null&&_f!==void 0?_f:!0,strictNumbers:(_h=(_g=o.strictNumbers)!==null&&_g!==void 0?_g:s2)!==null&&_h!==void 0?_h:!0,strictTypes:(_k=(_j=o.strictTypes)!==null&&_j!==void 0?_j:s2)!==null&&_k!==void 0?_k:"log",strictTuples:(_m=(_l=o.strictTuples)!==null&&_l!==void 0?_l:s2)!==null&&_m!==void 0?_m:"log",strictRequired:(_p=(_o=o.strictRequired)!==null&&_o!==void 0?_o:s2)!==null&&_p!==void 0?_p:!1,code:o.code?{...o.code,optimize,regExp}:{optimize,regExp},
+loopRequired:(_q=o.loopRequired)!==null&&_q!==void 0?_q:MAX_EXPRESSION,loopEnum:(_r=o.loopEnum)!==null&&_r!==void 0?_r:MAX_EXPRESSION,meta:(_s=o.meta)!==null&&_s!==void 0?_s:!0,messages:(_t=o.messages)!==null&&_t!==void 0?_t:!0,inlineRefs:(_u=o.inlineRefs)!==null&&_u!==void 0?_u:!0,schemaId:(_v=o.schemaId)!==null&&_v!==void 0?_v:"$id",addUsedSchema:(_w=o.addUsedSchema)!==null&&_w!==void 0?_w:!0,validateSchema:(_x=o.validateSchema)!==null&&_x!==void 0?_x:!0,validateFormats:(_y=o.validateFormats)!==
+null&&_y!==void 0?_y:!0,unicodeRegExp:(_z=o.unicodeRegExp)!==null&&_z!==void 0?_z:!0,int32range:(_02=o.int32range)!==null&&_02!==void 0?_02:!0,uriResolver}}class Ajv2{constructor(opts={}){this.schemas={},this.refs={},this.formats={},this._compilations=new Set,this._loading={},this._cache=new Map,opts=this.opts={...opts,...requiredOptions(opts)};const{es5,lines}=this.opts.code;this.scope=new codegen_2.ValueScope({scope:{},prefixes:EXT_SCOPE_NAMES,es5,lines}),this.logger=getLogger(opts.logger);const formatOpt=opts.
+validateFormats;opts.validateFormats=!1,this.RULES=(0,rules_1.getRules)(),checkOptions.call(this,removedOptions,opts,"NOT SUPPORTED"),checkOptions.call(this,deprecatedOptions,opts,"DEPRECATED","warn"),this._metaOpts=getMetaSchemaOptions.call(this),opts.formats&&addInitialFormats.call(this),this._addVocabularies(),this._addDefaultMetaSchema(),opts.keywords&&addInitialKeywords.call(this,opts.keywords),typeof opts.meta=="object"&&this.addMetaSchema(opts.meta),addInitialSchemas.call(this),opts.validateFormats=
+formatOpt}_addVocabularies(){this.addKeyword("$async")}_addDefaultMetaSchema(){const{$data,meta,schemaId}=this.opts;let _dataRefSchema=$dataRefSchema;schemaId==="id"&&(_dataRefSchema={...$dataRefSchema},_dataRefSchema.id=_dataRefSchema.$id,delete _dataRefSchema.$id),meta&&$data&&this.addMetaSchema(_dataRefSchema,_dataRefSchema[schemaId],!1)}defaultMeta(){const{meta,schemaId}=this.opts;return this.opts.defaultMeta=typeof meta=="object"?meta[schemaId]||meta:void 0}validate(schemaKeyRef,data){let v;
+if(typeof schemaKeyRef=="string"){if(v=this.getSchema(schemaKeyRef),!v)throw new Error(`no schema with key or ref "${schemaKeyRef}"`)}else v=this.compile(schemaKeyRef);const valid2=v(data);return"$async"in v||(this.errors=v.errors),valid2}compile(schema,_meta){const sch=this._addSchema(schema,_meta);return sch.validate||this._compileSchemaEnv(sch)}compileAsync(schema,meta){if(typeof this.opts.loadSchema!="function")throw new Error("options.loadSchema should be a function");const{loadSchema}=this.
+opts;return runCompileAsync.call(this,schema,meta);async function runCompileAsync(_schema,_meta){await loadMetaSchema.call(this,_schema.$schema);const sch=this._addSchema(_schema,_meta);return sch.validate||_compileAsync.call(this,sch)}async function loadMetaSchema($ref){$ref&&!this.getSchema($ref)&&await runCompileAsync.call(this,{$ref},!0)}async function _compileAsync(sch){try{return this._compileSchemaEnv(sch)}catch(e){if(!(e instanceof ref_error_1.default))throw e;return checkLoaded.call(this,
+e),await loadMissingSchema.call(this,e.missingSchema),_compileAsync.call(this,sch)}}function checkLoaded({missingSchema:ref2,missingRef}){if(this.refs[ref2])throw new Error(`AnySchema ${ref2} is loaded but ${missingRef} cannot be resolved`)}async function loadMissingSchema(ref2){const _schema=await _loadSchema.call(this,ref2);this.refs[ref2]||await loadMetaSchema.call(this,_schema.$schema),this.refs[ref2]||this.addSchema(_schema,ref2,meta)}async function _loadSchema(ref2){const p2=this._loading[ref2];
+if(p2)return p2;try{return await(this._loading[ref2]=loadSchema(ref2))}finally{delete this._loading[ref2]}}}addSchema(schema,key2,_meta,_validateSchema=this.opts.validateSchema){if(Array.isArray(schema)){for(const sch of schema)this.addSchema(sch,void 0,_meta,_validateSchema);return this}let id2;if(typeof schema=="object"){const{schemaId}=this.opts;if(id2=schema[schemaId],id2!==void 0&&typeof id2!="string")throw new Error(`schema ${schemaId} must be string`)}return key2=(0,resolve_1.normalizeId)(
+key2||id2),this._checkUnique(key2),this.schemas[key2]=this._addSchema(schema,_meta,key2,_validateSchema,!0),this}addMetaSchema(schema,key2,_validateSchema=this.opts.validateSchema){return this.addSchema(schema,key2,!0,_validateSchema),this}validateSchema(schema,throwOrLogError){if(typeof schema=="boolean")return!0;let $schema2;if($schema2=schema.$schema,$schema2!==void 0&&typeof $schema2!="string")throw new Error("$schema must be a string");if($schema2=$schema2||this.opts.defaultMeta||this.defaultMeta(),
+!$schema2)return this.logger.warn("meta-schema not available"),this.errors=null,!0;const valid2=this.validate($schema2,schema);if(!valid2&&throwOrLogError){const message="schema is invalid: "+this.errorsText();if(this.opts.validateSchema==="log")this.logger.error(message);else throw new Error(message)}return valid2}getSchema(keyRef){let sch;for(;typeof(sch=getSchEnv.call(this,keyRef))=="string";)keyRef=sch;if(sch===void 0){const{schemaId}=this.opts,root2=new compile_1.SchemaEnv({schema:{},schemaId});
+if(sch=compile_1.resolveSchema.call(this,root2,keyRef),!sch)return;this.refs[keyRef]=sch}return sch.validate||this._compileSchemaEnv(sch)}removeSchema(schemaKeyRef){if(schemaKeyRef instanceof RegExp)return this._removeAllSchemas(this.schemas,schemaKeyRef),this._removeAllSchemas(this.refs,schemaKeyRef),this;switch(typeof schemaKeyRef){case"undefined":return this._removeAllSchemas(this.schemas),this._removeAllSchemas(this.refs),this._cache.clear(),this;case"string":{const sch=getSchEnv.call(this,schemaKeyRef);
+return typeof sch=="object"&&this._cache.delete(sch.schema),delete this.schemas[schemaKeyRef],delete this.refs[schemaKeyRef],this}case"object":{const cacheKey=schemaKeyRef;this._cache.delete(cacheKey);let id2=schemaKeyRef[this.opts.schemaId];return id2&&(id2=(0,resolve_1.normalizeId)(id2),delete this.schemas[id2],delete this.refs[id2]),this}default:throw new Error("ajv.removeSchema: invalid parameter")}}addVocabulary(definitions2){for(const def of definitions2)this.addKeyword(def);return this}addKeyword(kwdOrDef,def){
+let keyword2;if(typeof kwdOrDef=="string")keyword2=kwdOrDef,typeof def=="object"&&(this.logger.warn("these parameters are deprecated, see docs for addKeyword"),def.keyword=keyword2);else if(typeof kwdOrDef=="object"&&def===void 0){if(def=kwdOrDef,keyword2=def.keyword,Array.isArray(keyword2)&&!keyword2.length)throw new Error("addKeywords: keyword must be string or non-empty array")}else throw new Error("invalid addKeywords parameters");if(checkKeyword.call(this,keyword2,def),!def)return(0,util_1.
+eachItem)(keyword2,kwd=>addRule.call(this,kwd)),this;keywordMetaschema.call(this,def);const definition2={...def,type:(0,dataType_1.getJSONTypes)(def.type),schemaType:(0,dataType_1.getJSONTypes)(def.schemaType)};return(0,util_1.eachItem)(keyword2,definition2.type.length===0?k=>addRule.call(this,k,definition2):k=>definition2.type.forEach(t=>addRule.call(this,k,definition2,t))),this}getKeyword(keyword2){const rule=this.RULES.all[keyword2];return typeof rule=="object"?rule.definition:!!rule}removeKeyword(keyword2){
+const{RULES}=this;delete RULES.keywords[keyword2],delete RULES.all[keyword2];for(const group of RULES.rules){const i=group.rules.findIndex(rule=>rule.keyword===keyword2);i>=0&&group.rules.splice(i,1)}return this}addFormat(name,format2){return typeof format2=="string"&&(format2=new RegExp(format2)),this.formats[name]=format2,this}errorsText(errors2=this.errors,{separator=", ",dataVar="data"}={}){return!errors2||errors2.length===0?"No errors":errors2.map(e=>`${dataVar}${e.instancePath} ${e.message}`).
+reduce((text2,msg)=>text2+separator+msg)}$dataMetaSchema(metaSchema,keywordsJsonPointers){const rules2=this.RULES.all;metaSchema=JSON.parse(JSON.stringify(metaSchema));for(const jsonPointer of keywordsJsonPointers){const segments=jsonPointer.split("/").slice(1);let keywords2=metaSchema;for(const seg of segments)keywords2=keywords2[seg];for(const key2 in rules2){const rule=rules2[key2];if(typeof rule!="object")continue;const{$data}=rule.definition,schema=keywords2[key2];$data&&schema&&(keywords2[key2]=
+schemaOrData(schema))}}return metaSchema}_removeAllSchemas(schemas,regex){for(const keyRef in schemas){const sch=schemas[keyRef];(!regex||regex.test(keyRef))&&(typeof sch=="string"?delete schemas[keyRef]:sch&&!sch.meta&&(this._cache.delete(sch.schema),delete schemas[keyRef]))}}_addSchema(schema,meta,baseId,validateSchema=this.opts.validateSchema,addSchema=this.opts.addUsedSchema){let id2;const{schemaId}=this.opts;if(typeof schema=="object")id2=schema[schemaId];else{if(this.opts.jtd)throw new Error(
+"schema must be object");if(typeof schema!="boolean")throw new Error("schema must be object or boolean")}let sch=this._cache.get(schema);if(sch!==void 0)return sch;baseId=(0,resolve_1.normalizeId)(id2||baseId);const localRefs=resolve_1.getSchemaRefs.call(this,schema,baseId);return sch=new compile_1.SchemaEnv({schema,schemaId,meta,baseId,localRefs}),this._cache.set(sch.schema,sch),addSchema&&!baseId.startsWith("#")&&(baseId&&this._checkUnique(baseId),this.refs[baseId]=sch),validateSchema&&this.validateSchema(
+schema,!0),sch}_checkUnique(id2){if(this.schemas[id2]||this.refs[id2])throw new Error(`schema with key or id "${id2}" already exists`)}_compileSchemaEnv(sch){if(sch.meta?this._compileMetaSchema(sch):compile_1.compileSchema.call(this,sch),!sch.validate)throw new Error("ajv implementation error");return sch.validate}_compileMetaSchema(sch){const currentOpts=this.opts;this.opts=this._metaOpts;try{compile_1.compileSchema.call(this,sch)}finally{this.opts=currentOpts}}}Ajv2.ValidationError=validation_error_1.
+default,Ajv2.MissingRefError=ref_error_1.default,exports$1.default=Ajv2;function checkOptions(checkOpts,options,msg,log="error"){for(const key2 in checkOpts){const opt=key2;opt in options&&this.logger[log](`${msg}: option ${key2}. ${checkOpts[opt]}`)}}function getSchEnv(keyRef){return keyRef=(0,resolve_1.normalizeId)(keyRef),this.schemas[keyRef]||this.refs[keyRef]}function addInitialSchemas(){const optsSchemas=this.opts.schemas;if(optsSchemas)if(Array.isArray(optsSchemas))this.addSchema(optsSchemas);else
+for(const key2 in optsSchemas)this.addSchema(optsSchemas[key2],key2)}function addInitialFormats(){for(const name in this.opts.formats){const format2=this.opts.formats[name];format2&&this.addFormat(name,format2)}}function addInitialKeywords(defs){if(Array.isArray(defs)){this.addVocabulary(defs);return}this.logger.warn("keywords option as map is deprecated, pass array");for(const keyword2 in defs){const def=defs[keyword2];def.keyword||(def.keyword=keyword2),this.addKeyword(def)}}function getMetaSchemaOptions(){
+const metaOpts={...this.opts};for(const opt of META_IGNORE_OPTIONS)delete metaOpts[opt];return metaOpts}const noLogs={log(){},warn(){},error(){}};function getLogger(logger){if(logger===!1)return noLogs;if(logger===void 0)return console;if(logger.log&&logger.warn&&logger.error)return logger;throw new Error("logger must implement log, warn and error methods")}const KEYWORD_NAME=/^[a-z_$][a-z0-9_$:-]*$/i;function checkKeyword(keyword2,def){const{RULES}=this;if((0,util_1.eachItem)(keyword2,kwd=>{if(RULES.
+keywords[kwd])throw new Error(`Keyword ${kwd} is already defined`);if(!KEYWORD_NAME.test(kwd))throw new Error(`Keyword ${kwd} has invalid name`)}),!!def&&def.$data&&!("code"in def||"validate"in def))throw new Error('$data keyword must have "code" or "validate" function')}function addRule(keyword2,definition2,dataType2){var _a2;const post=definition2?.post;if(dataType2&&post)throw new Error('keyword with "post" flag cannot have "type"');const{RULES}=this;let ruleGroup=post?RULES.post:RULES.rules.
+find(({type:t})=>t===dataType2);if(ruleGroup||(ruleGroup={type:dataType2,rules:[]},RULES.rules.push(ruleGroup)),RULES.keywords[keyword2]=!0,!definition2)return;const rule={keyword:keyword2,definition:{...definition2,type:(0,dataType_1.getJSONTypes)(definition2.type),schemaType:(0,dataType_1.getJSONTypes)(definition2.schemaType)}};definition2.before?addBeforeRule.call(this,ruleGroup,rule,definition2.before):ruleGroup.rules.push(rule),RULES.all[keyword2]=rule,(_a2=definition2.implements)===null||_a2===
+void 0||_a2.forEach(kwd=>this.addKeyword(kwd))}function addBeforeRule(ruleGroup,rule,before){const i=ruleGroup.rules.findIndex(_rule=>_rule.keyword===before);i>=0?ruleGroup.rules.splice(i,0,rule):(ruleGroup.rules.push(rule),this.logger.warn(`rule ${before} is not defined`))}function keywordMetaschema(def){let{metaSchema}=def;metaSchema!==void 0&&(def.$data&&this.opts.$data&&(metaSchema=schemaOrData(metaSchema)),def.validateSchema=this.compile(metaSchema,!0))}const $dataRef={$ref:"https://raw.git\
+hubusercontent.com/ajv-validator/ajv/master/lib/refs/data.json#"};function schemaOrData(schema){return{anyOf:[schema,$dataRef]}}})(core$2)),core$2}var draft7={},core$1={},id={},hasRequiredId;function requireId(){if(hasRequiredId)return id;hasRequiredId=1,Object.defineProperty(id,"__esModule",{value:!0});const def={keyword:"id",code(){throw new Error('NOT SUPPORTED: keyword "id", use "$id" for schema ID')}};return id.default=def,id}var ref={},hasRequiredRef;function requireRef(){if(hasRequiredRef)
+return ref;hasRequiredRef=1,Object.defineProperty(ref,"__esModule",{value:!0}),ref.callRef=ref.getValidate=void 0;const ref_error_1=requireRef_error(),code_1=requireCode(),codegen_1=requireCodegen(),names_1=requireNames(),compile_1=requireCompile(),util_1=requireUtil(),def={keyword:"$ref",schemaType:"string",code(cxt){const{gen,schema:$ref,it}=cxt,{baseId,schemaEnv:env2,validateName,opts,self:self2}=it,{root:root2}=env2;if(($ref==="#"||$ref==="#/")&&baseId===root2.baseId)return callRootRef();const schOrEnv=compile_1.
+resolveRef.call(self2,root2,baseId,$ref);if(schOrEnv===void 0)throw new ref_error_1.default(it.opts.uriResolver,baseId,$ref);if(schOrEnv instanceof compile_1.SchemaEnv)return callValidate(schOrEnv);return inlineRefSchema(schOrEnv);function callRootRef(){if(env2===root2)return callRef(cxt,validateName,env2,env2.$async);const rootName=gen.scopeValue("root",{ref:root2});return callRef(cxt,(0,codegen_1._)`${rootName}.validate`,root2,root2.$async)}function callValidate(sch){const v=getValidate(cxt,sch);
+callRef(cxt,v,sch,sch.$async)}function inlineRefSchema(sch){const schName=gen.scopeValue("schema",opts.code.source===!0?{ref:sch,code:(0,codegen_1.stringify)(sch)}:{ref:sch}),valid2=gen.name("valid"),schCxt=cxt.subschema({schema:sch,dataTypes:[],schemaPath:codegen_1.nil,topSchemaRef:schName,errSchemaPath:$ref},valid2);cxt.mergeEvaluated(schCxt),cxt.ok(valid2)}}};function getValidate(cxt,sch){const{gen}=cxt;return sch.validate?gen.scopeValue("validate",{ref:sch.validate}):(0,codegen_1._)`${gen.scopeValue(
+"wrapper",{ref:sch})}.validate`}ref.getValidate=getValidate;function callRef(cxt,v,sch,$async){const{gen,it}=cxt,{allErrors,schemaEnv:env2,opts}=it,passCxt=opts.passContext?names_1.default.this:codegen_1.nil;$async?callAsyncRef():callSyncRef();function callAsyncRef(){if(!env2.$async)throw new Error("async schema referenced by sync schema");const valid2=gen.let("valid");gen.try(()=>{gen.code((0,codegen_1._)`await ${(0,code_1.callValidateCode)(cxt,v,passCxt)}`),addEvaluatedFrom(v),allErrors||gen.assign(
+valid2,!0)},e=>{gen.if((0,codegen_1._)`!(${e} instanceof ${it.ValidationError})`,()=>gen.throw(e)),addErrorsFrom(e),allErrors||gen.assign(valid2,!1)}),cxt.ok(valid2)}function callSyncRef(){cxt.result((0,code_1.callValidateCode)(cxt,v,passCxt),()=>addEvaluatedFrom(v),()=>addErrorsFrom(v))}function addErrorsFrom(source2){const errs=(0,codegen_1._)`${source2}.errors`;gen.assign(names_1.default.vErrors,(0,codegen_1._)`${names_1.default.vErrors} === null ? ${errs} : ${names_1.default.vErrors}.concat(${errs})`),
+gen.assign(names_1.default.errors,(0,codegen_1._)`${names_1.default.vErrors}.length`)}function addEvaluatedFrom(source2){var _a2;if(!it.opts.unevaluated)return;const schEvaluated=(_a2=sch?.validate)===null||_a2===void 0?void 0:_a2.evaluated;if(it.props!==!0)if(schEvaluated&&!schEvaluated.dynamicProps)schEvaluated.props!==void 0&&(it.props=util_1.mergeEvaluated.props(gen,schEvaluated.props,it.props));else{const props=gen.var("props",(0,codegen_1._)`${source2}.evaluated.props`);it.props=util_1.mergeEvaluated.
+props(gen,props,it.props,codegen_1.Name)}if(it.items!==!0)if(schEvaluated&&!schEvaluated.dynamicItems)schEvaluated.items!==void 0&&(it.items=util_1.mergeEvaluated.items(gen,schEvaluated.items,it.items));else{const items2=gen.var("items",(0,codegen_1._)`${source2}.evaluated.items`);it.items=util_1.mergeEvaluated.items(gen,items2,it.items,codegen_1.Name)}}}return ref.callRef=callRef,ref.default=def,ref}var hasRequiredCore;function requireCore(){if(hasRequiredCore)return core$1;hasRequiredCore=1,Object.
+defineProperty(core$1,"__esModule",{value:!0});const id_1=requireId(),ref_1=requireRef(),core2=["$schema","$id","$defs","$vocabulary",{keyword:"$comment"},"definitions",id_1.default,ref_1.default];return core$1.default=core2,core$1}var validation={},limitNumber={},hasRequiredLimitNumber;function requireLimitNumber(){if(hasRequiredLimitNumber)return limitNumber;hasRequiredLimitNumber=1,Object.defineProperty(limitNumber,"__esModule",{value:!0});const codegen_1=requireCodegen(),ops=codegen_1.operators,
+KWDs={maximum:{okStr:"<=",ok:ops.LTE,fail:ops.GT},minimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},exclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},exclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({keyword:keyword2,schemaCode})=>(0,codegen_1.str)`must be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`},def={keyword:Object.keys(KWDs),type:"number",schemaType:"number",$data:!0,
+error:error2,code(cxt){const{keyword:keyword2,data,schemaCode}=cxt;cxt.fail$data((0,codegen_1._)`${data} ${KWDs[keyword2].fail} ${schemaCode} || isNaN(${data})`)}};return limitNumber.default=def,limitNumber}var multipleOf={},hasRequiredMultipleOf;function requireMultipleOf(){if(hasRequiredMultipleOf)return multipleOf;hasRequiredMultipleOf=1,Object.defineProperty(multipleOf,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:"multipleOf",type:"number",schemaType:"number",$data:!0,
+error:{message:({schemaCode})=>(0,codegen_1.str)`must be multiple of ${schemaCode}`,params:({schemaCode})=>(0,codegen_1._)`{multipleOf: ${schemaCode}}`},code(cxt){const{gen,data,schemaCode,it}=cxt,prec=it.opts.multipleOfPrecision,res=gen.let("res"),invalid2=prec?(0,codegen_1._)`Math.abs(Math.round(${res}) - ${res}) > 1e-${prec}`:(0,codegen_1._)`${res} !== parseInt(${res})`;cxt.fail$data((0,codegen_1._)`(${schemaCode} === 0 || (${res} = ${data}/${schemaCode}, ${invalid2}))`)}};return multipleOf.default=
+def,multipleOf}var limitLength={},ucs2length={},hasRequiredUcs2length;function requireUcs2length(){if(hasRequiredUcs2length)return ucs2length;hasRequiredUcs2length=1,Object.defineProperty(ucs2length,"__esModule",{value:!0});function ucs2length$12(str){const len=str.length;let length=0,pos=0,value;for(;pos<len;)length++,value=str.charCodeAt(pos++),value>=55296&&value<=56319&&pos<len&&(value=str.charCodeAt(pos),(value&64512)===56320&&pos++);return length}return ucs2length.default=ucs2length$12,ucs2length$12.
+code='require("ajv/dist/runtime/ucs2length").default',ucs2length}var hasRequiredLimitLength;function requireLimitLength(){if(hasRequiredLimitLength)return limitLength;hasRequiredLimitLength=1,Object.defineProperty(limitLength,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),ucs2length_1=requireUcs2length(),def={keyword:["maxLength","minLength"],type:"string",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxLength"?
+"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} characters`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode,it}=cxt,op2=keyword2==="maxLength"?codegen_1.operators.GT:codegen_1.operators.LT,len=it.opts.unicode===!1?(0,codegen_1._)`${data}.length`:(0,codegen_1._)`${(0,util_1.useFunc)(cxt.gen,ucs2length_1.default)}(${data})`;cxt.fail$data((0,codegen_1._)`${len} ${op2} ${schemaCode}`)}};return limitLength.
+default=def,limitLength}var pattern={},hasRequiredPattern;function requirePattern(){if(hasRequiredPattern)return pattern;hasRequiredPattern=1,Object.defineProperty(pattern,"__esModule",{value:!0});const code_1=requireCode(),util_1=requireUtil(),codegen_1=requireCodegen(),def={keyword:"pattern",type:"string",schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match pattern "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{pattern: ${schemaCode}}`},code(cxt){const{
+gen,data,$data,schema,schemaCode,it}=cxt,u=it.opts.unicodeRegExp?"u":"";if($data){const{regExp}=it.opts.code,regExpCode=regExp.code==="new RegExp"?(0,codegen_1._)`new RegExp`:(0,util_1.useFunc)(gen,regExp),valid2=gen.let("valid");gen.try(()=>gen.assign(valid2,(0,codegen_1._)`${regExpCode}(${schemaCode}, ${u}).test(${data})`),()=>gen.assign(valid2,!1)),cxt.fail$data((0,codegen_1._)`!${valid2}`)}else{const regExp=(0,code_1.usePattern)(cxt,schema);cxt.fail$data((0,codegen_1._)`!${regExp}.test(${data})`)}}};
+return pattern.default=def,pattern}var limitProperties={},hasRequiredLimitProperties;function requireLimitProperties(){if(hasRequiredLimitProperties)return limitProperties;hasRequiredLimitProperties=1,Object.defineProperty(limitProperties,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:["maxProperties","minProperties"],type:"object",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxProperties"?"more":"fewer";return(0,codegen_1.
+str)`must NOT have ${comp} than ${schemaCode} properties`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxProperties"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`Object.keys(${data}).length ${op2} ${schemaCode}`)}};return limitProperties.default=def,limitProperties}var required={},hasRequiredRequired;function requireRequired(){if(hasRequiredRequired)return required;hasRequiredRequired=
+1,Object.defineProperty(required,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"required",type:"object",schemaType:"array",$data:!0,error:{message:({params:{missingProperty}})=>(0,codegen_1.str)`must have required property '${missingProperty}'`,params:({params:{missingProperty}})=>(0,codegen_1._)`{missingProperty: ${missingProperty}}`},code(cxt){const{gen,schema,schemaCode,data,$data,it}=cxt,{opts}=it;if(!$data&&schema.length===0)
+return;const useLoop=schema.length>=opts.loopRequired;if(it.allErrors?allErrorsMode():exitOnErrorMode(),opts.strictRequired){const props=cxt.parentSchema.properties,{definedProperties}=cxt.it;for(const requiredKey of schema)if(props?.[requiredKey]===void 0&&!definedProperties.has(requiredKey)){const schemaPath=it.schemaEnv.baseId+it.errSchemaPath,msg=`required property "${requiredKey}" is not defined at "${schemaPath}" (strictRequired)`;(0,util_1.checkStrictMode)(it,msg,it.opts.strictRequired)}}
+function allErrorsMode(){if(useLoop||$data)cxt.block$data(codegen_1.nil,loopAllRequired);else for(const prop2 of schema)(0,code_1.checkReportMissingProp)(cxt,prop2)}function exitOnErrorMode(){const missing=gen.let("missing");if(useLoop||$data){const valid2=gen.let("valid",!0);cxt.block$data(valid2,()=>loopUntilMissing(missing,valid2)),cxt.ok(valid2)}else gen.if((0,code_1.checkMissingProp)(cxt,schema,missing)),(0,code_1.reportMissingProp)(cxt,missing),gen.else()}function loopAllRequired(){gen.forOf(
+"prop",schemaCode,prop2=>{cxt.setParams({missingProperty:prop2}),gen.if((0,code_1.noPropertyInData)(gen,data,prop2,opts.ownProperties),()=>cxt.error())})}function loopUntilMissing(missing,valid2){cxt.setParams({missingProperty:missing}),gen.forOf(missing,schemaCode,()=>{gen.assign(valid2,(0,code_1.propertyInData)(gen,data,missing,opts.ownProperties)),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(),gen.break()})},codegen_1.nil)}}};return required.default=def,required}var limitItems={},hasRequiredLimitItems;
+function requireLimitItems(){if(hasRequiredLimitItems)return limitItems;hasRequiredLimitItems=1,Object.defineProperty(limitItems,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:["maxItems","minItems"],type:"array",schemaType:"number",$data:!0,error:{message({keyword:keyword2,schemaCode}){const comp=keyword2==="maxItems"?"more":"fewer";return(0,codegen_1.str)`must NOT have ${comp} than ${schemaCode} items`},params:({schemaCode})=>(0,codegen_1._)`{limit: ${schemaCode}}`},code(cxt){
+const{keyword:keyword2,data,schemaCode}=cxt,op2=keyword2==="maxItems"?codegen_1.operators.GT:codegen_1.operators.LT;cxt.fail$data((0,codegen_1._)`${data}.length ${op2} ${schemaCode}`)}};return limitItems.default=def,limitItems}var uniqueItems={},equal={},hasRequiredEqual;function requireEqual(){if(hasRequiredEqual)return equal;hasRequiredEqual=1,Object.defineProperty(equal,"__esModule",{value:!0});const equal$12=requireFastDeepEqual();return equal$12.code='require("ajv/dist/runtime/equal").defau\
+lt',equal.default=equal$12,equal}var hasRequiredUniqueItems;function requireUniqueItems(){if(hasRequiredUniqueItems)return uniqueItems;hasRequiredUniqueItems=1,Object.defineProperty(uniqueItems,"__esModule",{value:!0});const dataType_1=requireDataType(),codegen_1=requireCodegen(),util_1=requireUtil(),equal_1=requireEqual(),def={keyword:"uniqueItems",type:"array",schemaType:"boolean",$data:!0,error:{message:({params:{i,j}})=>(0,codegen_1.str)`must NOT have duplicate items (items ## ${j} and ${i} are identical)`,
+params:({params:{i,j}})=>(0,codegen_1._)`{i: ${i}, j: ${j}}`},code(cxt){const{gen,data,$data,schema,parentSchema,schemaCode,it}=cxt;if(!$data&&!schema)return;const valid2=gen.let("valid"),itemTypes=parentSchema.items?(0,dataType_1.getSchemaTypes)(parentSchema.items):[];cxt.block$data(valid2,validateUniqueItems,(0,codegen_1._)`${schemaCode} === false`),cxt.ok(valid2);function validateUniqueItems(){const i=gen.let("i",(0,codegen_1._)`${data}.length`),j=gen.let("j");cxt.setParams({i,j}),gen.assign(
+valid2,!0),gen.if((0,codegen_1._)`${i} > 1`,()=>(canOptimize()?loopN:loopN2)(i,j))}function canOptimize(){return itemTypes.length>0&&!itemTypes.some(t=>t==="object"||t==="array")}function loopN(i,j){const item=gen.name("item"),wrongType=(0,dataType_1.checkDataTypes)(itemTypes,item,it.opts.strictNumbers,dataType_1.DataType.Wrong),indices=gen.const("indices",(0,codegen_1._)`{}`);gen.for((0,codegen_1._)`;${i}--;`,()=>{gen.let(item,(0,codegen_1._)`${data}[${i}]`),gen.if(wrongType,(0,codegen_1._)`continue`),
+itemTypes.length>1&&gen.if((0,codegen_1._)`typeof ${item} == "string"`,(0,codegen_1._)`${item} += "_"`),gen.if((0,codegen_1._)`typeof ${indices}[${item}] == "number"`,()=>{gen.assign(j,(0,codegen_1._)`${indices}[${item}]`),cxt.error(),gen.assign(valid2,!1).break()}).code((0,codegen_1._)`${indices}[${item}] = ${i}`)})}function loopN2(i,j){const eql=(0,util_1.useFunc)(gen,equal_1.default),outer=gen.name("outer");gen.label(outer).for((0,codegen_1._)`;${i}--;`,()=>gen.for((0,codegen_1._)`${j} = ${i}; ${j}--;`,
+()=>gen.if((0,codegen_1._)`${eql}(${data}[${i}], ${data}[${j}])`,()=>{cxt.error(),gen.assign(valid2,!1).break(outer)})))}}};return uniqueItems.default=def,uniqueItems}var _const={},hasRequired_const;function require_const(){if(hasRequired_const)return _const;hasRequired_const=1,Object.defineProperty(_const,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),equal_1=requireEqual(),def={keyword:"const",$data:!0,error:{message:"must be equal to constant",params:({schemaCode})=>(0,codegen_1.
+_)`{allowedValue: ${schemaCode}}`},code(cxt){const{gen,data,$data,schemaCode,schema}=cxt;$data||schema&&typeof schema=="object"?cxt.fail$data((0,codegen_1._)`!${(0,util_1.useFunc)(gen,equal_1.default)}(${data}, ${schemaCode})`):cxt.fail((0,codegen_1._)`${schema} !== ${data}`)}};return _const.default=def,_const}var _enum={},hasRequired_enum;function require_enum(){if(hasRequired_enum)return _enum;hasRequired_enum=1,Object.defineProperty(_enum,"__esModule",{value:!0});const codegen_1=requireCodegen(),
+util_1=requireUtil(),equal_1=requireEqual(),def={keyword:"enum",schemaType:"array",$data:!0,error:{message:"must be equal to one of the allowed values",params:({schemaCode})=>(0,codegen_1._)`{allowedValues: ${schemaCode}}`},code(cxt){const{gen,data,$data,schema,schemaCode,it}=cxt;if(!$data&&schema.length===0)throw new Error("enum must have non-empty array");const useLoop=schema.length>=it.opts.loopEnum;let eql;const getEql=()=>eql??(eql=(0,util_1.useFunc)(gen,equal_1.default));let valid2;if(useLoop||
+$data)valid2=gen.let("valid"),cxt.block$data(valid2,loopEnum);else{if(!Array.isArray(schema))throw new Error("ajv implementation error");const vSchema=gen.const("vSchema",schemaCode);valid2=(0,codegen_1.or)(...schema.map((_x,i)=>equalCode(vSchema,i)))}cxt.pass(valid2);function loopEnum(){gen.assign(valid2,!1),gen.forOf("v",schemaCode,v=>gen.if((0,codegen_1._)`${getEql()}(${data}, ${v})`,()=>gen.assign(valid2,!0).break()))}function equalCode(vSchema,i){const sch=schema[i];return typeof sch=="obje\
+ct"&&sch!==null?(0,codegen_1._)`${getEql()}(${data}, ${vSchema}[${i}])`:(0,codegen_1._)`${data} === ${sch}`}}};return _enum.default=def,_enum}var hasRequiredValidation;function requireValidation(){if(hasRequiredValidation)return validation;hasRequiredValidation=1,Object.defineProperty(validation,"__esModule",{value:!0});const limitNumber_1=requireLimitNumber(),multipleOf_1=requireMultipleOf(),limitLength_1=requireLimitLength(),pattern_1=requirePattern(),limitProperties_1=requireLimitProperties(),
+required_1=requireRequired(),limitItems_1=requireLimitItems(),uniqueItems_1=requireUniqueItems(),const_1=require_const(),enum_1=require_enum(),validation$12=[limitNumber_1.default,multipleOf_1.default,limitLength_1.default,pattern_1.default,limitProperties_1.default,required_1.default,limitItems_1.default,uniqueItems_1.default,{keyword:"type",schemaType:["string","array"]},{keyword:"nullable",schemaType:"boolean"},const_1.default,enum_1.default];return validation.default=validation$12,validation}
+var applicator={},additionalItems={},hasRequiredAdditionalItems;function requireAdditionalItems(){if(hasRequiredAdditionalItems)return additionalItems;hasRequiredAdditionalItems=1,Object.defineProperty(additionalItems,"__esModule",{value:!0}),additionalItems.validateAdditionalItems=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"additionalItems",type:"array",schemaType:["boolean","object"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,
+params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{parentSchema,it}=cxt,{items:items2}=parentSchema;if(!Array.isArray(items2)){(0,util_1.checkStrictMode)(it,'"additionalItems" is ignored when "items" is not an array of schemas');return}validateAdditionalItems(cxt,items2)}};function validateAdditionalItems(cxt,items2){const{gen,schema,data,keyword:keyword2,it}=cxt;it.items=!0;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(schema===!1)cxt.setParams({len:items2.
+length}),cxt.pass((0,codegen_1._)`${len} <= ${items2.length}`);else if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.var("valid",(0,codegen_1._)`${len} <= ${items2.length}`);gen.if((0,codegen_1.not)(valid2),()=>validateItems(valid2)),cxt.ok(valid2)}function validateItems(valid2){gen.forRange("i",items2.length,len,i=>{cxt.subschema({keyword:keyword2,dataProp:i,dataPropType:util_1.Type.Num},valid2),it.allErrors||gen.if((0,codegen_1.not)(valid2),()=>gen.break())})}}
+return additionalItems.validateAdditionalItems=validateAdditionalItems,additionalItems.default=def,additionalItems}var prefixItems={},items={},hasRequiredItems;function requireItems(){if(hasRequiredItems)return items;hasRequiredItems=1,Object.defineProperty(items,"__esModule",{value:!0}),items.validateTuple=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode(),def={keyword:"items",type:"array",schemaType:["object","array","boolean"],before:"uniqueItems",code(cxt){const{
+schema,it}=cxt;if(Array.isArray(schema))return validateTuple(cxt,"additionalItems",schema);it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&cxt.ok((0,code_1.validateArray)(cxt))}};function validateTuple(cxt,extraItems,schArr=cxt.schema){const{gen,parentSchema,data,keyword:keyword2,it}=cxt;checkStrictTuple(parentSchema),it.opts.unevaluated&&schArr.length&&it.items!==!0&&(it.items=util_1.mergeEvaluated.items(gen,schArr.length,it.items));const valid2=gen.name("valid"),len=gen.const("len",(0,codegen_1.
+_)`${data}.length`);schArr.forEach((sch,i)=>{(0,util_1.alwaysValidSchema)(it,sch)||(gen.if((0,codegen_1._)`${len} > ${i}`,()=>cxt.subschema({keyword:keyword2,schemaProp:i,dataProp:i},valid2)),cxt.ok(valid2))});function checkStrictTuple(sch){const{opts,errSchemaPath}=it,l=schArr.length,fullTuple=l===sch.minItems&&(l===sch.maxItems||sch[extraItems]===!1);if(opts.strictTuples&&!fullTuple){const msg=`"${keyword2}" is ${l}-tuple, but minItems or maxItems/${extraItems} are not specified or different a\
+t path "${errSchemaPath}"`;(0,util_1.checkStrictMode)(it,msg,opts.strictTuples)}}}return items.validateTuple=validateTuple,items.default=def,items}var hasRequiredPrefixItems;function requirePrefixItems(){if(hasRequiredPrefixItems)return prefixItems;hasRequiredPrefixItems=1,Object.defineProperty(prefixItems,"__esModule",{value:!0});const items_1=requireItems(),def={keyword:"prefixItems",type:"array",schemaType:["array"],before:"uniqueItems",code:cxt=>(0,items_1.validateTuple)(cxt,"items")};return prefixItems.
+default=def,prefixItems}var items2020={},hasRequiredItems2020;function requireItems2020(){if(hasRequiredItems2020)return items2020;hasRequiredItems2020=1,Object.defineProperty(items2020,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode(),additionalItems_1=requireAdditionalItems(),def={keyword:"items",type:"array",schemaType:["object","boolean"],before:"uniqueItems",error:{message:({params:{len}})=>(0,codegen_1.str)`must NOT have more than ${len} items`,
+params:({params:{len}})=>(0,codegen_1._)`{limit: ${len}}`},code(cxt){const{schema,parentSchema,it}=cxt,{prefixItems:prefixItems2}=parentSchema;it.items=!0,!(0,util_1.alwaysValidSchema)(it,schema)&&(prefixItems2?(0,additionalItems_1.validateAdditionalItems)(cxt,prefixItems2):cxt.ok((0,code_1.validateArray)(cxt)))}};return items2020.default=def,items2020}var contains$1={},hasRequiredContains;function requireContains(){if(hasRequiredContains)return contains$1;hasRequiredContains=1,Object.defineProperty(
+contains$1,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"contains",type:"array",schemaType:["object","boolean"],before:"uniqueItems",trackErrors:!0,error:{message:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1.str)`must contain at least ${min2} valid item(s)`:(0,codegen_1.str)`must contain at least ${min2} and no more than ${max2} valid item(s)`,params:({params:{min:min2,max:max2}})=>max2===void 0?(0,codegen_1._)`{minContains: ${min2}}`:
+(0,codegen_1._)`{minContains: ${min2}, maxContains: ${max2}}`},code(cxt){const{gen,schema,parentSchema,data,it}=cxt;let min2,max2;const{minContains,maxContains}=parentSchema;it.opts.next?(min2=minContains===void 0?1:minContains,max2=maxContains):min2=1;const len=gen.const("len",(0,codegen_1._)`${data}.length`);if(cxt.setParams({min:min2,max:max2}),max2===void 0&&min2===0){(0,util_1.checkStrictMode)(it,'"minContains" == 0 without "maxContains": "contains" keyword ignored');return}if(max2!==void 0&&
+min2>max2){(0,util_1.checkStrictMode)(it,'"minContains" > "maxContains" is always invalid'),cxt.fail();return}if((0,util_1.alwaysValidSchema)(it,schema)){let cond=(0,codegen_1._)`${len} >= ${min2}`;max2!==void 0&&(cond=(0,codegen_1._)`${cond} && ${len} <= ${max2}`),cxt.pass(cond);return}it.items=!0;const valid2=gen.name("valid");max2===void 0&&min2===1?validateItems(valid2,()=>gen.if(valid2,()=>gen.break())):min2===0?(gen.let(valid2,!0),max2!==void 0&&gen.if((0,codegen_1._)`${data}.length > 0`,validateItemsWithCount)):
+(gen.let(valid2,!1),validateItemsWithCount()),cxt.result(valid2,()=>cxt.reset());function validateItemsWithCount(){const schValid=gen.name("_valid"),count=gen.let("count",0);validateItems(schValid,()=>gen.if(schValid,()=>checkLimits(count)))}function validateItems(_valid,block2){gen.forRange("i",0,len,i=>{cxt.subschema({keyword:"contains",dataProp:i,dataPropType:util_1.Type.Num,compositeRule:!0},_valid),block2()})}function checkLimits(count){gen.code((0,codegen_1._)`${count}++`),max2===void 0?gen.
+if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0).break()):(gen.if((0,codegen_1._)`${count} > ${max2}`,()=>gen.assign(valid2,!1).break()),min2===1?gen.assign(valid2,!0):gen.if((0,codegen_1._)`${count} >= ${min2}`,()=>gen.assign(valid2,!0)))}}};return contains$1.default=def,contains$1}var dependencies={},hasRequiredDependencies;function requireDependencies(){return hasRequiredDependencies||(hasRequiredDependencies=1,(function(exports$1){Object.defineProperty(exports$1,"__esModule",
+{value:!0}),exports$1.validateSchemaDeps=exports$1.validatePropertyDeps=exports$1.error=void 0;const codegen_1=requireCodegen(),util_1=requireUtil(),code_1=requireCode();exports$1.error={message:({params:{property,depsCount,deps}})=>{const property_ies=depsCount===1?"property":"properties";return(0,codegen_1.str)`must have ${property_ies} ${deps} when property ${property} is present`},params:({params:{property,depsCount,deps,missingProperty}})=>(0,codegen_1._)`{property: ${property},
+    missingProperty: ${missingProperty},
+    depsCount: ${depsCount},
+    deps: ${deps}}`};const def={keyword:"dependencies",type:"object",schemaType:"object",error:exports$1.error,code(cxt){const[propDeps,schDeps]=splitDependencies(cxt);validatePropertyDeps(cxt,propDeps),validateSchemaDeps(cxt,schDeps)}};function splitDependencies({schema}){const propertyDeps={},schemaDeps={};for(const key2 in schema){if(key2==="__proto__")continue;const deps=Array.isArray(schema[key2])?propertyDeps:schemaDeps;deps[key2]=schema[key2]}return[propertyDeps,schemaDeps]}function validatePropertyDeps(cxt,propertyDeps=cxt.
+schema){const{gen,data,it}=cxt;if(Object.keys(propertyDeps).length===0)return;const missing=gen.let("missing");for(const prop2 in propertyDeps){const deps=propertyDeps[prop2];if(deps.length===0)continue;const hasProperty=(0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties);cxt.setParams({property:prop2,depsCount:deps.length,deps:deps.join(", ")}),it.allErrors?gen.if(hasProperty,()=>{for(const depProp of deps)(0,code_1.checkReportMissingProp)(cxt,depProp)}):(gen.if((0,codegen_1._)`${hasProperty} && (${(0,code_1.
+checkMissingProp)(cxt,deps,missing)})`),(0,code_1.reportMissingProp)(cxt,missing),gen.else())}}exports$1.validatePropertyDeps=validatePropertyDeps;function validateSchemaDeps(cxt,schemaDeps=cxt.schema){const{gen,data,keyword:keyword2,it}=cxt,valid2=gen.name("valid");for(const prop2 in schemaDeps)(0,util_1.alwaysValidSchema)(it,schemaDeps[prop2])||(gen.if((0,code_1.propertyInData)(gen,data,prop2,it.opts.ownProperties),()=>{const schCxt=cxt.subschema({keyword:keyword2,schemaProp:prop2},valid2);cxt.
+mergeValidEvaluated(schCxt,valid2)},()=>gen.var(valid2,!0)),cxt.ok(valid2))}exports$1.validateSchemaDeps=validateSchemaDeps,exports$1.default=def})(dependencies)),dependencies}var propertyNames={},hasRequiredPropertyNames;function requirePropertyNames(){if(hasRequiredPropertyNames)return propertyNames;hasRequiredPropertyNames=1,Object.defineProperty(propertyNames,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"propertyNames",type:"object",schemaType:[
+"object","boolean"],error:{message:"property name must be valid",params:({params})=>(0,codegen_1._)`{propertyName: ${params.propertyName}}`},code(cxt){const{gen,schema,data,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema))return;const valid2=gen.name("valid");gen.forIn("key",data,key2=>{cxt.setParams({propertyName:key2}),cxt.subschema({keyword:"propertyNames",data:key2,dataTypes:["string"],propertyName:key2,compositeRule:!0},valid2),gen.if((0,codegen_1.not)(valid2),()=>{cxt.error(!0),it.allErrors||
+gen.break()})}),cxt.ok(valid2)}};return propertyNames.default=def,propertyNames}var additionalProperties={},hasRequiredAdditionalProperties;function requireAdditionalProperties(){if(hasRequiredAdditionalProperties)return additionalProperties;hasRequiredAdditionalProperties=1,Object.defineProperty(additionalProperties,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),names_1=requireNames(),util_1=requireUtil(),def={keyword:"additionalProperties",type:["object"],schemaType:[
+"boolean","object"],allowUndefined:!0,trackErrors:!0,error:{message:"must NOT have additional properties",params:({params})=>(0,codegen_1._)`{additionalProperty: ${params.additionalProperty}}`},code(cxt){const{gen,schema,parentSchema,data,errsCount,it}=cxt;if(!errsCount)throw new Error("ajv implementation error");const{allErrors,opts}=it;if(it.props=!0,opts.removeAdditional!=="all"&&(0,util_1.alwaysValidSchema)(it,schema))return;const props=(0,code_1.allSchemaProperties)(parentSchema.properties),
+patProps=(0,code_1.allSchemaProperties)(parentSchema.patternProperties);checkAdditionalProperties(),cxt.ok((0,codegen_1._)`${errsCount} === ${names_1.default.errors}`);function checkAdditionalProperties(){gen.forIn("key",data,key2=>{!props.length&&!patProps.length?additionalPropertyCode(key2):gen.if(isAdditional(key2),()=>additionalPropertyCode(key2))})}function isAdditional(key2){let definedProp;if(props.length>8){const propsSchema=(0,util_1.schemaRefOrVal)(it,parentSchema.properties,"propertie\
+s");definedProp=(0,code_1.isOwnProperty)(gen,propsSchema,key2)}else props.length?definedProp=(0,codegen_1.or)(...props.map(p2=>(0,codegen_1._)`${key2} === ${p2}`)):definedProp=codegen_1.nil;return patProps.length&&(definedProp=(0,codegen_1.or)(definedProp,...patProps.map(p2=>(0,codegen_1._)`${(0,code_1.usePattern)(cxt,p2)}.test(${key2})`))),(0,codegen_1.not)(definedProp)}function deleteAdditional(key2){gen.code((0,codegen_1._)`delete ${data}[${key2}]`)}function additionalPropertyCode(key2){if(opts.
+removeAdditional==="all"||opts.removeAdditional&&schema===!1){deleteAdditional(key2);return}if(schema===!1){cxt.setParams({additionalProperty:key2}),cxt.error(),allErrors||gen.break();return}if(typeof schema=="object"&&!(0,util_1.alwaysValidSchema)(it,schema)){const valid2=gen.name("valid");opts.removeAdditional==="failing"?(applyAdditionalSchema(key2,valid2,!1),gen.if((0,codegen_1.not)(valid2),()=>{cxt.reset(),deleteAdditional(key2)})):(applyAdditionalSchema(key2,valid2),allErrors||gen.if((0,codegen_1.
+not)(valid2),()=>gen.break()))}}function applyAdditionalSchema(key2,valid2,errors2){const subschema2={keyword:"additionalProperties",dataProp:key2,dataPropType:util_1.Type.Str};errors2===!1&&Object.assign(subschema2,{compositeRule:!0,createErrors:!1,allErrors:!1}),cxt.subschema(subschema2,valid2)}}};return additionalProperties.default=def,additionalProperties}var properties$2={},hasRequiredProperties;function requireProperties(){if(hasRequiredProperties)return properties$2;hasRequiredProperties=
+1,Object.defineProperty(properties$2,"__esModule",{value:!0});const validate_1=requireValidate(),code_1=requireCode(),util_1=requireUtil(),additionalProperties_1=requireAdditionalProperties(),def={keyword:"properties",type:"object",schemaType:"object",code(cxt){const{gen,schema,parentSchema,data,it}=cxt;it.opts.removeAdditional==="all"&&parentSchema.additionalProperties===void 0&&additionalProperties_1.default.code(new validate_1.KeywordCxt(it,additionalProperties_1.default,"additionalProperties"));
+const allProps=(0,code_1.allSchemaProperties)(schema);for(const prop2 of allProps)it.definedProperties.add(prop2);it.opts.unevaluated&&allProps.length&&it.props!==!0&&(it.props=util_1.mergeEvaluated.props(gen,(0,util_1.toHash)(allProps),it.props));const properties2=allProps.filter(p2=>!(0,util_1.alwaysValidSchema)(it,schema[p2]));if(properties2.length===0)return;const valid2=gen.name("valid");for(const prop2 of properties2)hasDefault(prop2)?applyPropertySchema(prop2):(gen.if((0,code_1.propertyInData)(
+gen,data,prop2,it.opts.ownProperties)),applyPropertySchema(prop2),it.allErrors||gen.else().var(valid2,!0),gen.endIf()),cxt.it.definedProperties.add(prop2),cxt.ok(valid2);function hasDefault(prop2){return it.opts.useDefaults&&!it.compositeRule&&schema[prop2].default!==void 0}function applyPropertySchema(prop2){cxt.subschema({keyword:"properties",schemaProp:prop2,dataProp:prop2},valid2)}}};return properties$2.default=def,properties$2}var patternProperties={},hasRequiredPatternProperties;function requirePatternProperties(){
+if(hasRequiredPatternProperties)return patternProperties;hasRequiredPatternProperties=1,Object.defineProperty(patternProperties,"__esModule",{value:!0});const code_1=requireCode(),codegen_1=requireCodegen(),util_1=requireUtil(),util_2=requireUtil(),def={keyword:"patternProperties",type:"object",schemaType:"object",code(cxt){const{gen,schema,data,parentSchema,it}=cxt,{opts}=it,patterns=(0,code_1.allSchemaProperties)(schema),alwaysValidPatterns=patterns.filter(p2=>(0,util_1.alwaysValidSchema)(it,schema[p2]));
+if(patterns.length===0||alwaysValidPatterns.length===patterns.length&&(!it.opts.unevaluated||it.props===!0))return;const checkProperties=opts.strictSchema&&!opts.allowMatchingProperties&&parentSchema.properties,valid2=gen.name("valid");it.props!==!0&&!(it.props instanceof codegen_1.Name)&&(it.props=(0,util_2.evaluatedPropsToName)(gen,it.props));const{props}=it;validatePatternProperties();function validatePatternProperties(){for(const pat of patterns)checkProperties&&checkMatchingProperties(pat),
+it.allErrors?validateProperties(pat):(gen.var(valid2,!0),validateProperties(pat),gen.if(valid2))}function checkMatchingProperties(pat){for(const prop2 in checkProperties)new RegExp(pat).test(prop2)&&(0,util_1.checkStrictMode)(it,`property ${prop2} matches pattern ${pat} (use allowMatchingProperties)`)}function validateProperties(pat){gen.forIn("key",data,key2=>{gen.if((0,codegen_1._)`${(0,code_1.usePattern)(cxt,pat)}.test(${key2})`,()=>{const alwaysValid=alwaysValidPatterns.includes(pat);alwaysValid||
+cxt.subschema({keyword:"patternProperties",schemaProp:pat,dataProp:key2,dataPropType:util_2.Type.Str},valid2),it.opts.unevaluated&&props!==!0?gen.assign((0,codegen_1._)`${props}[${key2}]`,!0):!alwaysValid&&!it.allErrors&&gen.if((0,codegen_1.not)(valid2),()=>gen.break())})})}}};return patternProperties.default=def,patternProperties}var not={},hasRequiredNot;function requireNot(){if(hasRequiredNot)return not;hasRequiredNot=1,Object.defineProperty(not,"__esModule",{value:!0});const util_1=requireUtil(),
+def={keyword:"not",schemaType:["object","boolean"],trackErrors:!0,code(cxt){const{gen,schema,it}=cxt;if((0,util_1.alwaysValidSchema)(it,schema)){cxt.fail();return}const valid2=gen.name("valid");cxt.subschema({keyword:"not",compositeRule:!0,createErrors:!1,allErrors:!1},valid2),cxt.failResult(valid2,()=>cxt.reset(),()=>cxt.error())},error:{message:"must NOT be valid"}};return not.default=def,not}var anyOf={},hasRequiredAnyOf;function requireAnyOf(){if(hasRequiredAnyOf)return anyOf;hasRequiredAnyOf=
+1,Object.defineProperty(anyOf,"__esModule",{value:!0});const def={keyword:"anyOf",schemaType:"array",trackErrors:!0,code:requireCode().validateUnion,error:{message:"must match a schema in anyOf"}};return anyOf.default=def,anyOf}var oneOf={},hasRequiredOneOf;function requireOneOf(){if(hasRequiredOneOf)return oneOf;hasRequiredOneOf=1,Object.defineProperty(oneOf,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"oneOf",schemaType:"array",trackErrors:!0,error:{
+message:"must match exactly one schema in oneOf",params:({params})=>(0,codegen_1._)`{passingSchemas: ${params.passing}}`},code(cxt){const{gen,schema,parentSchema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");if(it.opts.discriminator&&parentSchema.discriminator)return;const schArr=schema,valid2=gen.let("valid",!1),passing=gen.let("passing",null),schValid=gen.name("_valid");cxt.setParams({passing}),gen.block(validateOneOf),cxt.result(valid2,()=>cxt.reset(),()=>cxt.error(
+!0));function validateOneOf(){schArr.forEach((sch,i)=>{let schCxt;(0,util_1.alwaysValidSchema)(it,sch)?gen.var(schValid,!0):schCxt=cxt.subschema({keyword:"oneOf",schemaProp:i,compositeRule:!0},schValid),i>0&&gen.if((0,codegen_1._)`${schValid} && ${valid2}`).assign(valid2,!1).assign(passing,(0,codegen_1._)`[${passing}, ${i}]`).else(),gen.if(schValid,()=>{gen.assign(valid2,!0),gen.assign(passing,i),schCxt&&cxt.mergeEvaluated(schCxt,codegen_1.Name)})})}}};return oneOf.default=def,oneOf}var allOf={},
+hasRequiredAllOf;function requireAllOf(){if(hasRequiredAllOf)return allOf;hasRequiredAllOf=1,Object.defineProperty(allOf,"__esModule",{value:!0});const util_1=requireUtil(),def={keyword:"allOf",schemaType:"array",code(cxt){const{gen,schema,it}=cxt;if(!Array.isArray(schema))throw new Error("ajv implementation error");const valid2=gen.name("valid");schema.forEach((sch,i)=>{if((0,util_1.alwaysValidSchema)(it,sch))return;const schCxt=cxt.subschema({keyword:"allOf",schemaProp:i},valid2);cxt.ok(valid2),
+cxt.mergeEvaluated(schCxt)})}};return allOf.default=def,allOf}var _if={},hasRequired_if;function require_if(){if(hasRequired_if)return _if;hasRequired_if=1,Object.defineProperty(_if,"__esModule",{value:!0});const codegen_1=requireCodegen(),util_1=requireUtil(),def={keyword:"if",schemaType:["object","boolean"],trackErrors:!0,error:{message:({params})=>(0,codegen_1.str)`must match "${params.ifClause}" schema`,params:({params})=>(0,codegen_1._)`{failingKeyword: ${params.ifClause}}`},code(cxt){const{
+gen,parentSchema,it}=cxt;parentSchema.then===void 0&&parentSchema.else===void 0&&(0,util_1.checkStrictMode)(it,'"if" without "then" and "else" is ignored');const hasThen=hasSchema(it,"then"),hasElse=hasSchema(it,"else");if(!hasThen&&!hasElse)return;const valid2=gen.let("valid",!0),schValid=gen.name("_valid");if(validateIf(),cxt.reset(),hasThen&&hasElse){const ifClause=gen.let("ifClause");cxt.setParams({ifClause}),gen.if(schValid,validateClause("then",ifClause),validateClause("else",ifClause))}else
+hasThen?gen.if(schValid,validateClause("then")):gen.if((0,codegen_1.not)(schValid),validateClause("else"));cxt.pass(valid2,()=>cxt.error(!0));function validateIf(){const schCxt=cxt.subschema({keyword:"if",compositeRule:!0,createErrors:!1,allErrors:!1},schValid);cxt.mergeEvaluated(schCxt)}function validateClause(keyword2,ifClause){return()=>{const schCxt=cxt.subschema({keyword:keyword2},schValid);gen.assign(valid2,schValid),cxt.mergeValidEvaluated(schCxt,valid2),ifClause?gen.assign(ifClause,(0,codegen_1.
+_)`${keyword2}`):cxt.setParams({ifClause:keyword2})}}}};function hasSchema(it,keyword2){const schema=it.schema[keyword2];return schema!==void 0&&!(0,util_1.alwaysValidSchema)(it,schema)}return _if.default=def,_if}var thenElse={},hasRequiredThenElse;function requireThenElse(){if(hasRequiredThenElse)return thenElse;hasRequiredThenElse=1,Object.defineProperty(thenElse,"__esModule",{value:!0});const util_1=requireUtil(),def={keyword:["then","else"],schemaType:["object","boolean"],code({keyword:keyword2,
+parentSchema,it}){parentSchema.if===void 0&&(0,util_1.checkStrictMode)(it,`"${keyword2}" without "if" is ignored`)}};return thenElse.default=def,thenElse}var hasRequiredApplicator;function requireApplicator(){if(hasRequiredApplicator)return applicator;hasRequiredApplicator=1,Object.defineProperty(applicator,"__esModule",{value:!0});const additionalItems_1=requireAdditionalItems(),prefixItems_1=requirePrefixItems(),items_1=requireItems(),items2020_1=requireItems2020(),contains_1=requireContains(),
+dependencies_1=requireDependencies(),propertyNames_1=requirePropertyNames(),additionalProperties_1=requireAdditionalProperties(),properties_12=requireProperties(),patternProperties_1=requirePatternProperties(),not_1=requireNot(),anyOf_1=requireAnyOf(),oneOf_1=requireOneOf(),allOf_1=requireAllOf(),if_1=require_if(),thenElse_1=requireThenElse();function getApplicator(draft2020=!1){const applicator2=[not_1.default,anyOf_1.default,oneOf_1.default,allOf_1.default,if_1.default,thenElse_1.default,propertyNames_1.
+default,additionalProperties_1.default,dependencies_1.default,properties_12.default,patternProperties_1.default];return draft2020?applicator2.push(prefixItems_1.default,items2020_1.default):applicator2.push(additionalItems_1.default,items_1.default),applicator2.push(contains_1.default),applicator2}return applicator.default=getApplicator,applicator}var format$1={},format={},hasRequiredFormat$1;function requireFormat$1(){if(hasRequiredFormat$1)return format;hasRequiredFormat$1=1,Object.defineProperty(
+format,"__esModule",{value:!0});const codegen_1=requireCodegen(),def={keyword:"format",type:["number","string"],schemaType:"string",$data:!0,error:{message:({schemaCode})=>(0,codegen_1.str)`must match format "${schemaCode}"`,params:({schemaCode})=>(0,codegen_1._)`{format: ${schemaCode}}`},code(cxt,ruleType){const{gen,data,$data,schema,schemaCode,it}=cxt,{opts,errSchemaPath,schemaEnv,self:self2}=it;if(!opts.validateFormats)return;$data?validate$DataFormat():validateFormat();function validate$DataFormat(){
+const fmts=gen.scopeValue("formats",{ref:self2.formats,code:opts.code.formats}),fDef=gen.const("fDef",(0,codegen_1._)`${fmts}[${schemaCode}]`),fType=gen.let("fType"),format2=gen.let("format");gen.if((0,codegen_1._)`typeof ${fDef} == "object" && !(${fDef} instanceof RegExp)`,()=>gen.assign(fType,(0,codegen_1._)`${fDef}.type || "string"`).assign(format2,(0,codegen_1._)`${fDef}.validate`),()=>gen.assign(fType,(0,codegen_1._)`"string"`).assign(format2,fDef)),cxt.fail$data((0,codegen_1.or)(unknownFmt(),
+invalidFmt()));function unknownFmt(){return opts.strictSchema===!1?codegen_1.nil:(0,codegen_1._)`${schemaCode} && !${format2}`}function invalidFmt(){const callFormat=schemaEnv.$async?(0,codegen_1._)`(${fDef}.async ? await ${format2}(${data}) : ${format2}(${data}))`:(0,codegen_1._)`${format2}(${data})`,validData=(0,codegen_1._)`(typeof ${format2} == "function" ? ${callFormat} : ${format2}.test(${data}))`;return(0,codegen_1._)`${format2} && ${format2} !== true && ${fType} === ${ruleType} && !${validData}`}}
+function validateFormat(){const formatDef=self2.formats[schema];if(!formatDef){unknownFormat();return}if(formatDef===!0)return;const[fmtType,format2,fmtRef]=getFormat(formatDef);fmtType===ruleType&&cxt.pass(validCondition());function unknownFormat(){if(opts.strictSchema===!1){self2.logger.warn(unknownMsg());return}throw new Error(unknownMsg());function unknownMsg(){return`unknown format "${schema}" ignored in schema at path "${errSchemaPath}"`}}function getFormat(fmtDef){const code2=fmtDef instanceof
+RegExp?(0,codegen_1.regexpCode)(fmtDef):opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(schema)}`:void 0,fmt=gen.scopeValue("formats",{key:schema,ref:fmtDef,code:code2});return typeof fmtDef=="object"&&!(fmtDef instanceof RegExp)?[fmtDef.type||"string",fmtDef.validate,(0,codegen_1._)`${fmt}.validate`]:["string",fmtDef,fmt]}function validCondition(){if(typeof formatDef=="object"&&!(formatDef instanceof RegExp)&&formatDef.async){if(!schemaEnv.$async)throw new Error(
+"async format in sync schema");return(0,codegen_1._)`await ${fmtRef}(${data})`}return typeof format2=="function"?(0,codegen_1._)`${fmtRef}(${data})`:(0,codegen_1._)`${fmtRef}.test(${data})`}}}};return format.default=def,format}var hasRequiredFormat;function requireFormat(){if(hasRequiredFormat)return format$1;hasRequiredFormat=1,Object.defineProperty(format$1,"__esModule",{value:!0});const format2=[requireFormat$1().default];return format$1.default=format2,format$1}var metadata={},hasRequiredMetadata;
+function requireMetadata(){return hasRequiredMetadata||(hasRequiredMetadata=1,Object.defineProperty(metadata,"__esModule",{value:!0}),metadata.contentVocabulary=metadata.metadataVocabulary=void 0,metadata.metadataVocabulary=["title","description","default","deprecated","readOnly","writeOnly","examples"],metadata.contentVocabulary=["contentMediaType","contentEncoding","contentSchema"]),metadata}var hasRequiredDraft7;function requireDraft7(){if(hasRequiredDraft7)return draft7;hasRequiredDraft7=1,Object.
+defineProperty(draft7,"__esModule",{value:!0});const core_1=requireCore(),validation_1=requireValidation(),applicator_1=requireApplicator(),format_1=requireFormat(),metadata_1=requireMetadata(),draft7Vocabularies=[core_1.default,validation_1.default,(0,applicator_1.default)(),format_1.default,metadata_1.metadataVocabulary,metadata_1.contentVocabulary];return draft7.default=draft7Vocabularies,draft7}var discriminator={},types$1={},hasRequiredTypes;function requireTypes(){if(hasRequiredTypes)return types$1;
+hasRequiredTypes=1,Object.defineProperty(types$1,"__esModule",{value:!0}),types$1.DiscrError=void 0;var DiscrError;return(function(DiscrError2){DiscrError2.Tag="tag",DiscrError2.Mapping="mapping"})(DiscrError||(types$1.DiscrError=DiscrError={})),types$1}var hasRequiredDiscriminator;function requireDiscriminator(){if(hasRequiredDiscriminator)return discriminator;hasRequiredDiscriminator=1,Object.defineProperty(discriminator,"__esModule",{value:!0});const codegen_1=requireCodegen(),types_1=requireTypes(),
+compile_1=requireCompile(),ref_error_1=requireRef_error(),util_1=requireUtil(),def={keyword:"discriminator",type:"object",schemaType:"object",error:{message:({params:{discrError,tagName}})=>discrError===types_1.DiscrError.Tag?`tag "${tagName}" must be string`:`value of tag "${tagName}" must be in oneOf`,params:({params:{discrError,tag,tagName}})=>(0,codegen_1._)`{error: ${discrError}, tag: ${tagName}, tagValue: ${tag}}`},code(cxt){const{gen,data,schema,parentSchema,it}=cxt,{oneOf:oneOf2}=parentSchema;
+if(!it.opts.discriminator)throw new Error("discriminator: requires discriminator option");const tagName=schema.propertyName;if(typeof tagName!="string")throw new Error("discriminator: requires propertyName");if(schema.mapping)throw new Error("discriminator: mapping is not supported");if(!oneOf2)throw new Error("discriminator: requires oneOf keyword");const valid2=gen.let("valid",!1),tag=gen.const("tag",(0,codegen_1._)`${data}${(0,codegen_1.getProperty)(tagName)}`);gen.if((0,codegen_1._)`typeof ${tag} == "string"`,
+()=>validateMapping(),()=>cxt.error(!1,{discrError:types_1.DiscrError.Tag,tag,tagName})),cxt.ok(valid2);function validateMapping(){const mapping=getMapping();gen.if(!1);for(const tagValue in mapping)gen.elseIf((0,codegen_1._)`${tag} === ${tagValue}`),gen.assign(valid2,applyTagSchema(mapping[tagValue]));gen.else(),cxt.error(!1,{discrError:types_1.DiscrError.Mapping,tag,tagName}),gen.endIf()}function applyTagSchema(schemaProp){const _valid=gen.name("valid"),schCxt=cxt.subschema({keyword:"oneOf",schemaProp},
+_valid);return cxt.mergeEvaluated(schCxt,codegen_1.Name),_valid}function getMapping(){var _a2;const oneOfMapping={},topRequired=hasRequired(parentSchema);let tagRequired=!0;for(let i=0;i<oneOf2.length;i++){let sch=oneOf2[i];if(sch?.$ref&&!(0,util_1.schemaHasRulesButRef)(sch,it.self.RULES)){const ref2=sch.$ref;if(sch=compile_1.resolveRef.call(it.self,it.schemaEnv.root,it.baseId,ref2),sch instanceof compile_1.SchemaEnv&&(sch=sch.schema),sch===void 0)throw new ref_error_1.default(it.opts.uriResolver,
+it.baseId,ref2)}const propSch=(_a2=sch?.properties)===null||_a2===void 0?void 0:_a2[tagName];if(typeof propSch!="object")throw new Error(`discriminator: oneOf subschemas (or referenced schemas) must have "properties/${tagName}"`);tagRequired=tagRequired&&(topRequired||hasRequired(sch)),addMappings(propSch,i)}if(!tagRequired)throw new Error(`discriminator: "${tagName}" must be required`);return oneOfMapping;function hasRequired({required:required2}){return Array.isArray(required2)&&required2.includes(
+tagName)}function addMappings(sch,i){if(sch.const)addMapping(sch.const,i);else if(sch.enum)for(const tagValue of sch.enum)addMapping(tagValue,i);else throw new Error(`discriminator: "properties/${tagName}" must have "const" or "enum"`)}function addMapping(tagValue,i){if(typeof tagValue!="string"||tagValue in oneOfMapping)throw new Error(`discriminator: "${tagName}" values must be unique strings`);oneOfMapping[tagValue]=i}}}};return discriminator.default=def,discriminator}const $schema="http://js\
+on-schema.org/draft-07/schema#",$id="http://json-schema.org/draft-07/schema#",title="Core schema meta-schema",definitions={schemaArray:{type:"array",minItems:1,items:{$ref:"#"}},nonNegativeInteger:{type:"integer",minimum:0},nonNegativeIntegerDefault0:{allOf:[{$ref:"#/definitions/nonNegativeInteger"},{default:0}]},simpleTypes:{enum:["array","boolean","integer","null","number","object","string"]},stringArray:{type:"array",items:{type:"string"},uniqueItems:!0,default:[]}},type=["object","boolean"],
+properties$1={$id:{type:"string",format:"uri-reference"},$schema:{type:"string",format:"uri"},$ref:{type:"string",format:"uri-reference"},$comment:{type:"string"},title:{type:"string"},description:{type:"string"},default:!0,readOnly:{type:"boolean",default:!1},examples:{type:"array",items:!0},multipleOf:{type:"number",exclusiveMinimum:0},maximum:{type:"number"},exclusiveMaximum:{type:"number"},minimum:{type:"number"},exclusiveMinimum:{type:"number"},maxLength:{$ref:"#/definitions/nonNegativeInte\
+ger"},minLength:{$ref:"#/definitions/nonNegativeIntegerDefault0"},pattern:{type:"string",format:"regex"},additionalItems:{$ref:"#"},items:{anyOf:[{$ref:"#"},{$ref:"#/definitions/schemaArray"}],default:!0},maxItems:{$ref:"#/definitions/nonNegativeInteger"},minItems:{$ref:"#/definitions/nonNegativeIntegerDefault0"},uniqueItems:{type:"boolean",default:!1},contains:{$ref:"#"},maxProperties:{$ref:"#/definitions/nonNegativeInteger"},minProperties:{$ref:"#/definitions/nonNegativeIntegerDefault0"},required:{
+$ref:"#/definitions/stringArray"},additionalProperties:{$ref:"#"},definitions:{type:"object",additionalProperties:{$ref:"#"},default:{}},properties:{type:"object",additionalProperties:{$ref:"#"},default:{}},patternProperties:{type:"object",additionalProperties:{$ref:"#"},propertyNames:{format:"regex"},default:{}},dependencies:{type:"object",additionalProperties:{anyOf:[{$ref:"#"},{$ref:"#/definitions/stringArray"}]}},propertyNames:{$ref:"#"},const:!0,enum:{type:"array",items:!0,minItems:1,uniqueItems:!0},
+type:{anyOf:[{$ref:"#/definitions/simpleTypes"},{type:"array",items:{$ref:"#/definitions/simpleTypes"},minItems:1,uniqueItems:!0}]},format:{type:"string"},contentMediaType:{type:"string"},contentEncoding:{type:"string"},if:{$ref:"#"},then:{$ref:"#"},else:{$ref:"#"},allOf:{$ref:"#/definitions/schemaArray"},anyOf:{$ref:"#/definitions/schemaArray"},oneOf:{$ref:"#/definitions/schemaArray"},not:{$ref:"#"}},require$$3={$schema,$id,title,definitions,type,properties:properties$1,default:!0};var hasRequiredAjv;
+function requireAjv(){return hasRequiredAjv||(hasRequiredAjv=1,(function(module,exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.MissingRefError=exports$1.ValidationError=exports$1.CodeGen=exports$1.Name=exports$1.nil=exports$1.stringify=exports$1.str=exports$1._=exports$1.KeywordCxt=exports$1.Ajv=void 0;const core_1=requireCore$1(),draft7_1=requireDraft7(),discriminator_1=requireDiscriminator(),draft7MetaSchema=require$$3,META_SUPPORT_DATA=["/properties"],META_SCHEMA_ID="\
+http://json-schema.org/draft-07/schema";class Ajv2 extends core_1.default{_addVocabularies(){super._addVocabularies(),draft7_1.default.forEach(v=>this.addVocabulary(v)),this.opts.discriminator&&this.addKeyword(discriminator_1.default)}_addDefaultMetaSchema(){if(super._addDefaultMetaSchema(),!this.opts.meta)return;const metaSchema=this.opts.$data?this.$dataMetaSchema(draft7MetaSchema,META_SUPPORT_DATA):draft7MetaSchema;this.addMetaSchema(metaSchema,META_SCHEMA_ID,!1),this.refs["http://json-schema\
+.org/schema"]=META_SCHEMA_ID}defaultMeta(){return this.opts.defaultMeta=super.defaultMeta()||(this.getSchema(META_SCHEMA_ID)?META_SCHEMA_ID:void 0)}}exports$1.Ajv=Ajv2,module.exports=exports$1=Ajv2,module.exports.Ajv=Ajv2,Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.default=Ajv2;var validate_1=requireValidate();Object.defineProperty(exports$1,"KeywordCxt",{enumerable:!0,get:function(){return validate_1.KeywordCxt}});var codegen_1=requireCodegen();Object.defineProperty(exports$1,
+"_",{enumerable:!0,get:function(){return codegen_1._}}),Object.defineProperty(exports$1,"str",{enumerable:!0,get:function(){return codegen_1.str}}),Object.defineProperty(exports$1,"stringify",{enumerable:!0,get:function(){return codegen_1.stringify}}),Object.defineProperty(exports$1,"nil",{enumerable:!0,get:function(){return codegen_1.nil}}),Object.defineProperty(exports$1,"Name",{enumerable:!0,get:function(){return codegen_1.Name}}),Object.defineProperty(exports$1,"CodeGen",{enumerable:!0,get:function(){
+return codegen_1.CodeGen}});var validation_error_1=requireValidation_error();Object.defineProperty(exports$1,"ValidationError",{enumerable:!0,get:function(){return validation_error_1.default}});var ref_error_1=requireRef_error();Object.defineProperty(exports$1,"MissingRefError",{enumerable:!0,get:function(){return ref_error_1.default}})})(ajv,ajv.exports)),ajv.exports}var hasRequiredLimit;function requireLimit(){return hasRequiredLimit||(hasRequiredLimit=1,(function(exports$1){Object.defineProperty(
+exports$1,"__esModule",{value:!0}),exports$1.formatLimitDefinition=void 0;const ajv_1=requireAjv(),codegen_1=requireCodegen(),ops=codegen_1.operators,KWDs={formatMaximum:{okStr:"<=",ok:ops.LTE,fail:ops.GT},formatMinimum:{okStr:">=",ok:ops.GTE,fail:ops.LT},formatExclusiveMaximum:{okStr:"<",ok:ops.LT,fail:ops.GTE},formatExclusiveMinimum:{okStr:">",ok:ops.GT,fail:ops.LTE}},error2={message:({keyword:keyword2,schemaCode})=>(0,codegen_1.str)`should be ${KWDs[keyword2].okStr} ${schemaCode}`,params:({keyword:keyword2,
+schemaCode})=>(0,codegen_1._)`{comparison: ${KWDs[keyword2].okStr}, limit: ${schemaCode}}`};exports$1.formatLimitDefinition={keyword:Object.keys(KWDs),type:"string",schemaType:"string",$data:!0,error:error2,code(cxt){const{gen,data,schemaCode,keyword:keyword2,it}=cxt,{opts,self:self2}=it;if(!opts.validateFormats)return;const fCxt=new ajv_1.KeywordCxt(it,self2.RULES.all.format.definition,"format");fCxt.$data?validate$DataFormat():validateFormat();function validate$DataFormat(){const fmts=gen.scopeValue(
+"formats",{ref:self2.formats,code:opts.code.formats}),fmt=gen.const("fmt",(0,codegen_1._)`${fmts}[${fCxt.schemaCode}]`);cxt.fail$data((0,codegen_1.or)((0,codegen_1._)`typeof ${fmt} != "object"`,(0,codegen_1._)`${fmt} instanceof RegExp`,(0,codegen_1._)`typeof ${fmt}.compare != "function"`,compareCode(fmt)))}function validateFormat(){const format2=fCxt.schema,fmtDef=self2.formats[format2];if(!fmtDef||fmtDef===!0)return;if(typeof fmtDef!="object"||fmtDef instanceof RegExp||typeof fmtDef.compare!="f\
+unction")throw new Error(`"${keyword2}": format "${format2}" does not define "compare" function`);const fmt=gen.scopeValue("formats",{key:format2,ref:fmtDef,code:opts.code.formats?(0,codegen_1._)`${opts.code.formats}${(0,codegen_1.getProperty)(format2)}`:void 0});cxt.fail$data(compareCode(fmt))}function compareCode(fmt){return(0,codegen_1._)`${fmt}.compare(${data}, ${schemaCode}) ${KWDs[keyword2].fail} 0`}},dependencies:["format"]};const formatLimitPlugin=ajv2=>(ajv2.addKeyword(exports$1.formatLimitDefinition),
+ajv2);exports$1.default=formatLimitPlugin})(limit)),limit}var hasRequiredDist;function requireDist(){return hasRequiredDist||(hasRequiredDist=1,(function(module,exports$1){Object.defineProperty(exports$1,"__esModule",{value:!0});const formats_1=requireFormats(),limit_1=requireLimit(),codegen_1=requireCodegen(),fullName=new codegen_1.Name("fullFormats"),fastName=new codegen_1.Name("fastFormats"),formatsPlugin=(ajv2,opts={keywords:!0})=>{if(Array.isArray(opts))return addFormats(ajv2,opts,formats_1.
+fullFormats,fullName),ajv2;const[formats2,exportName]=opts.mode==="fast"?[formats_1.fastFormats,fastName]:[formats_1.fullFormats,fullName],list2=opts.formats||formats_1.formatNames;return addFormats(ajv2,list2,formats2,exportName),opts.keywords&&(0,limit_1.default)(ajv2),ajv2};formatsPlugin.get=(name,mode="full")=>{const f=(mode==="fast"?formats_1.fastFormats:formats_1.fullFormats)[name];if(!f)throw new Error(`Unknown format "${name}"`);return f};function addFormats(ajv2,list2,fs,exportName){var _a2,
+_b;(_a2=(_b=ajv2.opts.code).formats)!==null&&_a2!==void 0||(_b.formats=(0,codegen_1._)`require("ajv-formats/dist/formats").${exportName}`);for(const f of list2)ajv2.addFormat(f,fs[f])}module.exports=exports$1=formatsPlugin,Object.defineProperty(exports$1,"__esModule",{value:!0}),exports$1.default=formatsPlugin})(dist,dist.exports)),dist.exports}var distExports=requireDist();const _addFormats=getDefaultExportFromCjs(distExports);function createDefaultAjvInstance(){const ajv2=new Ajv({strict:!1,validateFormats:!0,
+validateSchema:!1,allErrors:!0});return _addFormats(ajv2),ajv2}class AjvJsonSchemaValidator{constructor(ajv2){this._ajv=ajv2??createDefaultAjvInstance()}getValidator(schema){const ajvValidator="$id"in schema&&typeof schema.$id=="string"?this._ajv.getSchema(schema.$id)??this._ajv.compile(schema):this._ajv.compile(schema);return input=>ajvValidator(input)?{valid:!0,data:input,errorMessage:void 0}:{valid:!1,data:void 0,errorMessage:this._ajv.errorsText(ajvValidator.errors)}}}class ExperimentalClientTasks{constructor(_client){
+this._client=_client}async*callToolStream(params,resultSchema=CallToolResultSchema,options){const clientInternal=this._client,optionsWithTask={...options,task:options?.task??(clientInternal.isToolTask(params.name)?{}:void 0)},stream=clientInternal.requestStream({method:"tools/call",params},resultSchema,optionsWithTask),validator=clientInternal.getToolOutputValidator(params.name);for await(const message of stream){if(message.type==="result"&&validator){const result=message.result;if(!result.structuredContent&&
+!result.isError){yield{type:"error",error:new McpError(ErrorCode.InvalidRequest,`Tool ${params.name} has an output schema but did not return structured content`)};return}if(result.structuredContent)try{const validationResult=validator(result.structuredContent);if(!validationResult.valid){yield{type:"error",error:new McpError(ErrorCode.InvalidParams,`Structured content does not match the tool's output schema: ${validationResult.errorMessage}`)};return}}catch(error2){if(error2 instanceof McpError){
+yield{type:"error",error:error2};return}yield{type:"error",error:new McpError(ErrorCode.InvalidParams,`Failed to validate structured content: ${error2 instanceof Error?error2.message:String(error2)}`)};return}}yield message}}async getTask(taskId,options){return this._client.getTask({taskId},options)}async getTaskResult(taskId,resultSchema,options){return this._client.getTaskResult({taskId},resultSchema,options)}async listTasks(cursor,options){return this._client.listTasks(cursor?{cursor}:void 0,
+options)}async cancelTask(taskId,options){return this._client.cancelTask({taskId},options)}requestStream(request,resultSchema,options){return this._client.requestStream(request,resultSchema,options)}}function assertToolsCallTaskCapability(requests,method,entityName){if(!requests)throw new Error(`${entityName} does not support task creation (required for ${method})`);switch(method){case"tools/call":if(!requests.tools?.call)throw new Error(`${entityName} does not support task creation for tools/ca\
+ll (required for ${method})`);break}}function assertClientRequestTaskCapability(requests,method,entityName){if(!requests)throw new Error(`${entityName} does not support task creation (required for ${method})`);switch(method){case"sampling/createMessage":if(!requests.sampling?.createMessage)throw new Error(`${entityName} does not support task creation for sampling/createMessage (required for ${method})`);break;case"elicitation/create":if(!requests.elicitation?.create)throw new Error(`${entityName}\
+ does not support task creation for elicitation/create (required for ${method})`);break}}function applyElicitationDefaults(schema,data){if(!(!schema||data===null||typeof data!="object")){if(schema.type==="object"&&schema.properties&&typeof schema.properties=="object"){const obj=data,props=schema.properties;for(const key2 of Object.keys(props)){const propSchema=props[key2];obj[key2]===void 0&&Object.prototype.hasOwnProperty.call(propSchema,"default")&&(obj[key2]=propSchema.default),obj[key2]!==void 0&&
+applyElicitationDefaults(propSchema,obj[key2])}}if(Array.isArray(schema.anyOf))for(const sub2 of schema.anyOf)typeof sub2!="boolean"&&applyElicitationDefaults(sub2,data);if(Array.isArray(schema.oneOf))for(const sub2 of schema.oneOf)typeof sub2!="boolean"&&applyElicitationDefaults(sub2,data)}}function getSupportedElicitationModes(capabilities){if(!capabilities)return{supportsFormMode:!1,supportsUrlMode:!1};const hasFormCapability=capabilities.form!==void 0,hasUrlCapability=capabilities.url!==void 0;
+return{supportsFormMode:hasFormCapability||!hasFormCapability&&!hasUrlCapability,supportsUrlMode:hasUrlCapability}}class Client extends Protocol{constructor(_clientInfo,options){super(options),this._clientInfo=_clientInfo,this._cachedToolOutputValidators=new Map,this._cachedKnownTaskTools=new Set,this._cachedRequiredTaskTools=new Set,this._listChangedDebounceTimers=new Map,this._capabilities=options?.capabilities??{},this._jsonSchemaValidator=options?.jsonSchemaValidator??new AjvJsonSchemaValidator,
+options?.listChanged&&(this._pendingListChangedConfig=options.listChanged)}_setupListChangedHandlers(config2){config2.tools&&this._serverCapabilities?.tools?.listChanged&&this._setupListChangedHandler("tools",ToolListChangedNotificationSchema,config2.tools,async()=>(await this.listTools()).tools),config2.prompts&&this._serverCapabilities?.prompts?.listChanged&&this._setupListChangedHandler("prompts",PromptListChangedNotificationSchema,config2.prompts,async()=>(await this.listPrompts()).prompts),
+config2.resources&&this._serverCapabilities?.resources?.listChanged&&this._setupListChangedHandler("resources",ResourceListChangedNotificationSchema,config2.resources,async()=>(await this.listResources()).resources)}get experimental(){return this._experimental||(this._experimental={tasks:new ExperimentalClientTasks(this)}),this._experimental}registerCapabilities(capabilities){if(this.transport)throw new Error("Cannot register capabilities after connecting to transport");this._capabilities=mergeCapabilities(
+this._capabilities,capabilities)}setRequestHandler(requestSchema,handler){const methodSchema=getObjectShape(requestSchema)?.method;if(!methodSchema)throw new Error("Schema is missing a method literal");let methodValue;if(isZ4Schema(methodSchema)){const v4Schema=methodSchema;methodValue=v4Schema._zod?.def?.value??v4Schema.value}else{const v3Schema=methodSchema;methodValue=v3Schema._def?.value??v3Schema.value}if(typeof methodValue!="string")throw new Error("Schema method literal must be a string");
+const method=methodValue;if(method==="elicitation/create"){const wrappedHandler=async(request,extra)=>{const validatedRequest=safeParse$1(ElicitRequestSchema,request);if(!validatedRequest.success){const errorMessage=validatedRequest.error instanceof Error?validatedRequest.error.message:String(validatedRequest.error);throw new McpError(ErrorCode.InvalidParams,`Invalid elicitation request: ${errorMessage}`)}const{params}=validatedRequest.data;params.mode=params.mode??"form";const{supportsFormMode,
+supportsUrlMode}=getSupportedElicitationModes(this._capabilities.elicitation);if(params.mode==="form"&&!supportsFormMode)throw new McpError(ErrorCode.InvalidParams,"Client does not support form-mode elicitation requests");if(params.mode==="url"&&!supportsUrlMode)throw new McpError(ErrorCode.InvalidParams,"Client does not support URL-mode elicitation requests");const result=await Promise.resolve(handler(request,extra));if(params.task){const taskValidationResult=safeParse$1(CreateTaskResultSchema,
+result);if(!taskValidationResult.success){const errorMessage=taskValidationResult.error instanceof Error?taskValidationResult.error.message:String(taskValidationResult.error);throw new McpError(ErrorCode.InvalidParams,`Invalid task creation result: ${errorMessage}`)}return taskValidationResult.data}const validationResult=safeParse$1(ElicitResultSchema,result);if(!validationResult.success){const errorMessage=validationResult.error instanceof Error?validationResult.error.message:String(validationResult.
+error);throw new McpError(ErrorCode.InvalidParams,`Invalid elicitation result: ${errorMessage}`)}const validatedResult=validationResult.data,requestedSchema=params.mode==="form"?params.requestedSchema:void 0;if(params.mode==="form"&&validatedResult.action==="accept"&&validatedResult.content&&requestedSchema&&this._capabilities.elicitation?.form?.applyDefaults)try{applyElicitationDefaults(requestedSchema,validatedResult.content)}catch{}return validatedResult};return super.setRequestHandler(requestSchema,
+wrappedHandler)}if(method==="sampling/createMessage"){const wrappedHandler=async(request,extra)=>{const validatedRequest=safeParse$1(CreateMessageRequestSchema,request);if(!validatedRequest.success){const errorMessage=validatedRequest.error instanceof Error?validatedRequest.error.message:String(validatedRequest.error);throw new McpError(ErrorCode.InvalidParams,`Invalid sampling request: ${errorMessage}`)}const{params}=validatedRequest.data,result=await Promise.resolve(handler(request,extra));if(params.
+task){const taskValidationResult=safeParse$1(CreateTaskResultSchema,result);if(!taskValidationResult.success){const errorMessage=taskValidationResult.error instanceof Error?taskValidationResult.error.message:String(taskValidationResult.error);throw new McpError(ErrorCode.InvalidParams,`Invalid task creation result: ${errorMessage}`)}return taskValidationResult.data}const resultSchema=params.tools||params.toolChoice?CreateMessageResultWithToolsSchema:CreateMessageResultSchema,validationResult=safeParse$1(
+resultSchema,result);if(!validationResult.success){const errorMessage=validationResult.error instanceof Error?validationResult.error.message:String(validationResult.error);throw new McpError(ErrorCode.InvalidParams,`Invalid sampling result: ${errorMessage}`)}return validationResult.data};return super.setRequestHandler(requestSchema,wrappedHandler)}return super.setRequestHandler(requestSchema,handler)}assertCapability(capability,method){if(!this._serverCapabilities?.[capability])throw new Error(`\
+Server does not support ${capability} (required for ${method})`)}async connect(transport,options){if(await super.connect(transport),transport.sessionId===void 0)try{const result=await this.request({method:"initialize",params:{protocolVersion:LATEST_PROTOCOL_VERSION,capabilities:this._capabilities,clientInfo:this._clientInfo}},InitializeResultSchema,options);if(result===void 0)throw new Error(`Server sent invalid initialize result: ${result}`);if(!SUPPORTED_PROTOCOL_VERSIONS.includes(result.protocolVersion))
+throw new Error(`Server's protocol version is not supported: ${result.protocolVersion}`);this._serverCapabilities=result.capabilities,this._serverVersion=result.serverInfo,transport.setProtocolVersion&&transport.setProtocolVersion(result.protocolVersion),this._instructions=result.instructions,await this.notification({method:"notifications/initialized"}),this._pendingListChangedConfig&&(this._setupListChangedHandlers(this._pendingListChangedConfig),this._pendingListChangedConfig=void 0)}catch(error2){
+throw this.close(),error2}}getServerCapabilities(){return this._serverCapabilities}getServerVersion(){return this._serverVersion}getInstructions(){return this._instructions}assertCapabilityForMethod(method){switch(method){case"logging/setLevel":if(!this._serverCapabilities?.logging)throw new Error(`Server does not support logging (required for ${method})`);break;case"prompts/get":case"prompts/list":if(!this._serverCapabilities?.prompts)throw new Error(`Server does not support prompts (required f\
+or ${method})`);break;case"resources/list":case"resources/templates/list":case"resources/read":case"resources/subscribe":case"resources/unsubscribe":if(!this._serverCapabilities?.resources)throw new Error(`Server does not support resources (required for ${method})`);if(method==="resources/subscribe"&&!this._serverCapabilities.resources.subscribe)throw new Error(`Server does not support resource subscriptions (required for ${method})`);break;case"tools/call":case"tools/list":if(!this._serverCapabilities?.
+tools)throw new Error(`Server does not support tools (required for ${method})`);break;case"completion/complete":if(!this._serverCapabilities?.completions)throw new Error(`Server does not support completions (required for ${method})`);break}}assertNotificationCapability(method){switch(method){case"notifications/roots/list_changed":if(!this._capabilities.roots?.listChanged)throw new Error(`Client does not support roots list changed notifications (required for ${method})`);break}}assertRequestHandlerCapability(method){
+if(this._capabilities)switch(method){case"sampling/createMessage":if(!this._capabilities.sampling)throw new Error(`Client does not support sampling capability (required for ${method})`);break;case"elicitation/create":if(!this._capabilities.elicitation)throw new Error(`Client does not support elicitation capability (required for ${method})`);break;case"roots/list":if(!this._capabilities.roots)throw new Error(`Client does not support roots capability (required for ${method})`);break;case"tasks/get":case"\
+tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw new Error(`Client does not support tasks capability (required for ${method})`);break}}assertTaskCapability(method){assertToolsCallTaskCapability(this._serverCapabilities?.tasks?.requests,method,"Server")}assertTaskHandlerCapability(method){this._capabilities&&assertClientRequestTaskCapability(this._capabilities.tasks?.requests,method,"Client")}async ping(options){return this.request({method:"ping"},EmptyResultSchema,
+options)}async complete(params,options){return this.request({method:"completion/complete",params},CompleteResultSchema,options)}async setLoggingLevel(level,options){return this.request({method:"logging/setLevel",params:{level}},EmptyResultSchema,options)}async getPrompt(params,options){return this.request({method:"prompts/get",params},GetPromptResultSchema,options)}async listPrompts(params,options){return this.request({method:"prompts/list",params},ListPromptsResultSchema,options)}async listResources(params,options){
+return this.request({method:"resources/list",params},ListResourcesResultSchema,options)}async listResourceTemplates(params,options){return this.request({method:"resources/templates/list",params},ListResourceTemplatesResultSchema,options)}async readResource(params,options){return this.request({method:"resources/read",params},ReadResourceResultSchema,options)}async subscribeResource(params,options){return this.request({method:"resources/subscribe",params},EmptyResultSchema,options)}async unsubscribeResource(params,options){
+return this.request({method:"resources/unsubscribe",params},EmptyResultSchema,options)}async callTool(params,resultSchema=CallToolResultSchema,options){if(this.isToolTaskRequired(params.name))throw new McpError(ErrorCode.InvalidRequest,`Tool "${params.name}" requires task-based execution. Use client.experimental.tasks.callToolStream() instead.`);const result=await this.request({method:"tools/call",params},resultSchema,options),validator=this.getToolOutputValidator(params.name);if(validator){if(!result.
+structuredContent&&!result.isError)throw new McpError(ErrorCode.InvalidRequest,`Tool ${params.name} has an output schema but did not return structured content`);if(result.structuredContent)try{const validationResult=validator(result.structuredContent);if(!validationResult.valid)throw new McpError(ErrorCode.InvalidParams,`Structured content does not match the tool's output schema: ${validationResult.errorMessage}`)}catch(error2){throw error2 instanceof McpError?error2:new McpError(ErrorCode.InvalidParams,
+`Failed to validate structured content: ${error2 instanceof Error?error2.message:String(error2)}`)}}return result}isToolTask(toolName){return this._serverCapabilities?.tasks?.requests?.tools?.call?this._cachedKnownTaskTools.has(toolName):!1}isToolTaskRequired(toolName){return this._cachedRequiredTaskTools.has(toolName)}cacheToolMetadata(tools){this._cachedToolOutputValidators.clear(),this._cachedKnownTaskTools.clear(),this._cachedRequiredTaskTools.clear();for(const tool of tools){if(tool.outputSchema){
+const toolValidator=this._jsonSchemaValidator.getValidator(tool.outputSchema);this._cachedToolOutputValidators.set(tool.name,toolValidator)}const taskSupport=tool.execution?.taskSupport;(taskSupport==="required"||taskSupport==="optional")&&this._cachedKnownTaskTools.add(tool.name),taskSupport==="required"&&this._cachedRequiredTaskTools.add(tool.name)}}getToolOutputValidator(toolName){return this._cachedToolOutputValidators.get(toolName)}async listTools(params,options){const result=await this.request(
+{method:"tools/list",params},ListToolsResultSchema,options);return this.cacheToolMetadata(result.tools),result}_setupListChangedHandler(listType,notificationSchema,options,fetcher){const parseResult=ListChangedOptionsBaseSchema.safeParse(options);if(!parseResult.success)throw new Error(`Invalid ${listType} listChanged options: ${parseResult.error.message}`);if(typeof options.onChanged!="function")throw new Error(`Invalid ${listType} listChanged options: onChanged must be a function`);const{autoRefresh,
+debounceMs}=parseResult.data,{onChanged}=options,refresh=async()=>{if(!autoRefresh){onChanged(null,null);return}try{const items2=await fetcher();onChanged(null,items2)}catch(e){const error2=e instanceof Error?e:new Error(String(e));onChanged(error2,null)}},handler=()=>{if(debounceMs){const existingTimer=this._listChangedDebounceTimers.get(listType);existingTimer&&clearTimeout(existingTimer);const timer=setTimeout(refresh,debounceMs);this._listChangedDebounceTimers.set(listType,timer)}else refresh()};
+this.setNotificationHandler(notificationSchema,handler)}async sendRootsListChanged(){return this.notification({method:"notifications/roots/list_changed"})}}function normalizeHeaders(headers){return headers?headers instanceof Headers?Object.fromEntries(headers.entries()):Array.isArray(headers)?Object.fromEntries(headers):{...headers}:{}}function createFetchWithInit(baseFetch=fetch,baseInit){return baseInit?async(url2,init2)=>{const mergedInit={...baseInit,...init2,headers:init2?.headers?{...normalizeHeaders(
+baseInit.headers),...normalizeHeaders(init2.headers)}:baseInit.headers};return baseFetch(url2,mergedInit)}:baseFetch}let crypto$1;crypto$1=globalThis.crypto;async function getRandomValues(size2){return(await crypto$1).getRandomValues(new Uint8Array(size2))}async function random(size2){const mask="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._~",evenDistCutoff=Math.pow(2,8)-Math.pow(2,8)%mask.length;let result="";for(;result.length<size2;){const randomBytes=await getRandomValues(
+size2-result.length);for(const randomByte of randomBytes)randomByte<evenDistCutoff&&(result+=mask[randomByte%mask.length])}return result}async function generateVerifier(length){return await random(length)}async function generateChallenge(code_verifier){const buffer=await(await crypto$1).subtle.digest("SHA-256",new TextEncoder().encode(code_verifier));return btoa(String.fromCharCode(...new Uint8Array(buffer))).replace(/\//g,"_").replace(/\+/g,"-").replace(/=/g,"")}async function pkceChallenge(length){
+if(length||(length=43),length<43||length>128)throw`Expected a length between 43 and 128. Received ${length}.`;const verifier=await generateVerifier(length),challenge=await generateChallenge(verifier);return{code_verifier:verifier,code_challenge:challenge}}const SafeUrlSchema=url().superRefine((val,ctx)=>{if(!URL.canParse(val))return ctx.addIssue({code:ZodIssueCode.custom,message:"URL must be parseable",fatal:!0}),NEVER}).refine(url2=>{const u=new URL(url2);return u.protocol!=="javascript:"&&u.protocol!==
+"data:"&&u.protocol!=="vbscript:"},{message:"URL cannot use javascript:, data:, or vbscript: scheme"}),OAuthProtectedResourceMetadataSchema=looseObject({resource:string$2().url(),authorization_servers:array(SafeUrlSchema).optional(),jwks_uri:string$2().url().optional(),scopes_supported:array(string$2()).optional(),bearer_methods_supported:array(string$2()).optional(),resource_signing_alg_values_supported:array(string$2()).optional(),resource_name:string$2().optional(),resource_documentation:string$2().
+optional(),resource_policy_uri:string$2().url().optional(),resource_tos_uri:string$2().url().optional(),tls_client_certificate_bound_access_tokens:boolean$1().optional(),authorization_details_types_supported:array(string$2()).optional(),dpop_signing_alg_values_supported:array(string$2()).optional(),dpop_bound_access_tokens_required:boolean$1().optional()}),OAuthMetadataSchema=looseObject({issuer:string$2(),authorization_endpoint:SafeUrlSchema,token_endpoint:SafeUrlSchema,registration_endpoint:SafeUrlSchema.
+optional(),scopes_supported:array(string$2()).optional(),response_types_supported:array(string$2()),response_modes_supported:array(string$2()).optional(),grant_types_supported:array(string$2()).optional(),token_endpoint_auth_methods_supported:array(string$2()).optional(),token_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),service_documentation:SafeUrlSchema.optional(),revocation_endpoint:SafeUrlSchema.optional(),revocation_endpoint_auth_methods_supported:array(string$2()).
+optional(),revocation_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),introspection_endpoint:string$2().optional(),introspection_endpoint_auth_methods_supported:array(string$2()).optional(),introspection_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),code_challenge_methods_supported:array(string$2()).optional(),client_id_metadata_document_supported:boolean$1().optional()}),OpenIdProviderMetadataSchema=looseObject({issuer:string$2(),authorization_endpoint:SafeUrlSchema,
+token_endpoint:SafeUrlSchema,userinfo_endpoint:SafeUrlSchema.optional(),jwks_uri:SafeUrlSchema,registration_endpoint:SafeUrlSchema.optional(),scopes_supported:array(string$2()).optional(),response_types_supported:array(string$2()),response_modes_supported:array(string$2()).optional(),grant_types_supported:array(string$2()).optional(),acr_values_supported:array(string$2()).optional(),subject_types_supported:array(string$2()),id_token_signing_alg_values_supported:array(string$2()),id_token_encryption_alg_values_supported:array(
+string$2()).optional(),id_token_encryption_enc_values_supported:array(string$2()).optional(),userinfo_signing_alg_values_supported:array(string$2()).optional(),userinfo_encryption_alg_values_supported:array(string$2()).optional(),userinfo_encryption_enc_values_supported:array(string$2()).optional(),request_object_signing_alg_values_supported:array(string$2()).optional(),request_object_encryption_alg_values_supported:array(string$2()).optional(),request_object_encryption_enc_values_supported:array(
+string$2()).optional(),token_endpoint_auth_methods_supported:array(string$2()).optional(),token_endpoint_auth_signing_alg_values_supported:array(string$2()).optional(),display_values_supported:array(string$2()).optional(),claim_types_supported:array(string$2()).optional(),claims_supported:array(string$2()).optional(),service_documentation:string$2().optional(),claims_locales_supported:array(string$2()).optional(),ui_locales_supported:array(string$2()).optional(),claims_parameter_supported:boolean$1().
+optional(),request_parameter_supported:boolean$1().optional(),request_uri_parameter_supported:boolean$1().optional(),require_request_uri_registration:boolean$1().optional(),op_policy_uri:SafeUrlSchema.optional(),op_tos_uri:SafeUrlSchema.optional(),client_id_metadata_document_supported:boolean$1().optional()}),OpenIdProviderDiscoveryMetadataSchema=object({...OpenIdProviderMetadataSchema.shape,...OAuthMetadataSchema.pick({code_challenge_methods_supported:!0}).shape}),OAuthTokensSchema=object({access_token:string$2(),
+id_token:string$2().optional(),token_type:string$2(),expires_in:number$1().optional(),scope:string$2().optional(),refresh_token:string$2().optional()}).strip(),OAuthErrorResponseSchema=object({error:string$2(),error_description:string$2().optional(),error_uri:string$2().optional()}),OptionalSafeUrlSchema=SafeUrlSchema.optional().or(literal("").transform(()=>{})),OAuthClientMetadataSchema=object({redirect_uris:array(SafeUrlSchema),token_endpoint_auth_method:string$2().optional(),grant_types:array(
+string$2()).optional(),response_types:array(string$2()).optional(),client_name:string$2().optional(),client_uri:SafeUrlSchema.optional(),logo_uri:OptionalSafeUrlSchema,scope:string$2().optional(),contacts:array(string$2()).optional(),tos_uri:OptionalSafeUrlSchema,policy_uri:string$2().optional(),jwks_uri:SafeUrlSchema.optional(),jwks:any().optional(),software_id:string$2().optional(),software_version:string$2().optional(),software_statement:string$2().optional()}).strip(),OAuthClientInformationSchema=object(
+{client_id:string$2(),client_secret:string$2().optional(),client_id_issued_at:number$2().optional(),client_secret_expires_at:number$2().optional()}).strip(),OAuthClientInformationFullSchema=OAuthClientMetadataSchema.merge(OAuthClientInformationSchema);object({error:string$2(),error_description:string$2().optional()}).strip();object({token:string$2(),token_type_hint:string$2().optional()}).strip();function resourceUrlFromServerUrl(url2){const resourceURL=typeof url2=="string"?new URL(url2):new URL(
+url2.href);return resourceURL.hash="",resourceURL}function checkResourceAllowed({requestedResource,configuredResource}){const requested=typeof requestedResource=="string"?new URL(requestedResource):new URL(requestedResource.href),configured=typeof configuredResource=="string"?new URL(configuredResource):new URL(configuredResource.href);if(requested.origin!==configured.origin||requested.pathname.length<configured.pathname.length)return!1;const requestedPath=requested.pathname.endsWith("/")?requested.
+pathname:requested.pathname+"/",configuredPath=configured.pathname.endsWith("/")?configured.pathname:configured.pathname+"/";return requestedPath.startsWith(configuredPath)}class OAuthError extends Error{constructor(message,errorUri){super(message),this.errorUri=errorUri,this.name=this.constructor.name}toResponseObject(){const response={error:this.errorCode,error_description:this.message};return this.errorUri&&(response.error_uri=this.errorUri),response}get errorCode(){return this.constructor.errorCode}}
+class InvalidRequestError extends OAuthError{}InvalidRequestError.errorCode="invalid_request";class InvalidClientError extends OAuthError{}InvalidClientError.errorCode="invalid_client";class InvalidGrantError extends OAuthError{}InvalidGrantError.errorCode="invalid_grant";class UnauthorizedClientError extends OAuthError{}UnauthorizedClientError.errorCode="unauthorized_client";class UnsupportedGrantTypeError extends OAuthError{}UnsupportedGrantTypeError.errorCode="unsupported_grant_type";class InvalidScopeError extends OAuthError{}
+InvalidScopeError.errorCode="invalid_scope";class AccessDeniedError extends OAuthError{}AccessDeniedError.errorCode="access_denied";class ServerError extends OAuthError{}ServerError.errorCode="server_error";class TemporarilyUnavailableError extends OAuthError{}TemporarilyUnavailableError.errorCode="temporarily_unavailable";class UnsupportedResponseTypeError extends OAuthError{}UnsupportedResponseTypeError.errorCode="unsupported_response_type";class UnsupportedTokenTypeError extends OAuthError{}UnsupportedTokenTypeError.
+errorCode="unsupported_token_type";class InvalidTokenError extends OAuthError{}InvalidTokenError.errorCode="invalid_token";class MethodNotAllowedError extends OAuthError{}MethodNotAllowedError.errorCode="method_not_allowed";class TooManyRequestsError extends OAuthError{}TooManyRequestsError.errorCode="too_many_requests";class InvalidClientMetadataError extends OAuthError{}InvalidClientMetadataError.errorCode="invalid_client_metadata";class InsufficientScopeError extends OAuthError{}InsufficientScopeError.
+errorCode="insufficient_scope";class InvalidTargetError extends OAuthError{}InvalidTargetError.errorCode="invalid_target";const OAUTH_ERRORS={[InvalidRequestError.errorCode]:InvalidRequestError,[InvalidClientError.errorCode]:InvalidClientError,[InvalidGrantError.errorCode]:InvalidGrantError,[UnauthorizedClientError.errorCode]:UnauthorizedClientError,[UnsupportedGrantTypeError.errorCode]:UnsupportedGrantTypeError,[InvalidScopeError.errorCode]:InvalidScopeError,[AccessDeniedError.errorCode]:AccessDeniedError,
+[ServerError.errorCode]:ServerError,[TemporarilyUnavailableError.errorCode]:TemporarilyUnavailableError,[UnsupportedResponseTypeError.errorCode]:UnsupportedResponseTypeError,[UnsupportedTokenTypeError.errorCode]:UnsupportedTokenTypeError,[InvalidTokenError.errorCode]:InvalidTokenError,[MethodNotAllowedError.errorCode]:MethodNotAllowedError,[TooManyRequestsError.errorCode]:TooManyRequestsError,[InvalidClientMetadataError.errorCode]:InvalidClientMetadataError,[InsufficientScopeError.errorCode]:InsufficientScopeError,
+[InvalidTargetError.errorCode]:InvalidTargetError};class UnauthorizedError extends Error{constructor(message){super(message??"Unauthorized")}}function isClientAuthMethod(method){return["client_secret_basic","client_secret_post","none"].includes(method)}const AUTHORIZATION_CODE_RESPONSE_TYPE="code",AUTHORIZATION_CODE_CHALLENGE_METHOD="S256";function selectClientAuthMethod(clientInformation,supportedMethods){const hasClientSecret=clientInformation.client_secret!==void 0;return supportedMethods.length===
+0?hasClientSecret?"client_secret_post":"none":"token_endpoint_auth_method"in clientInformation&&clientInformation.token_endpoint_auth_method&&isClientAuthMethod(clientInformation.token_endpoint_auth_method)&&supportedMethods.includes(clientInformation.token_endpoint_auth_method)?clientInformation.token_endpoint_auth_method:hasClientSecret&&supportedMethods.includes("client_secret_basic")?"client_secret_basic":hasClientSecret&&supportedMethods.includes("client_secret_post")?"client_secret_post":supportedMethods.
+includes("none")?"none":hasClientSecret?"client_secret_post":"none"}function applyClientAuthentication(method,clientInformation,headers,params){const{client_id,client_secret}=clientInformation;switch(method){case"client_secret_basic":applyBasicAuth(client_id,client_secret,headers);return;case"client_secret_post":applyPostAuth(client_id,client_secret,params);return;case"none":applyPublicAuth(client_id,params);return;default:throw new Error(`Unsupported client authentication method: ${method}`)}}function applyBasicAuth(clientId,clientSecret,headers){
+if(!clientSecret)throw new Error("client_secret_basic authentication requires a client_secret");const credentials=btoa(`${clientId}:${clientSecret}`);headers.set("Authorization",`Basic ${credentials}`)}function applyPostAuth(clientId,clientSecret,params){params.set("client_id",clientId),clientSecret&&params.set("client_secret",clientSecret)}function applyPublicAuth(clientId,params){params.set("client_id",clientId)}async function parseErrorResponse(input){const statusCode=input instanceof Response?
+input.status:void 0,body2=input instanceof Response?await input.text():input;try{const result=OAuthErrorResponseSchema.parse(JSON.parse(body2)),{error:error2,error_description,error_uri}=result,errorClass=OAUTH_ERRORS[error2]||ServerError;return new errorClass(error_description||"",error_uri)}catch(error2){const errorMessage=`${statusCode?`HTTP ${statusCode}: `:""}Invalid OAuth error response: ${error2}. Raw body: ${body2}`;return new ServerError(errorMessage)}}async function auth(provider,options){
+try{return await authInternal(provider,options)}catch(error2){if(error2 instanceof InvalidClientError||error2 instanceof UnauthorizedClientError)return await provider.invalidateCredentials?.("all"),await authInternal(provider,options);if(error2 instanceof InvalidGrantError)return await provider.invalidateCredentials?.("tokens"),await authInternal(provider,options);throw error2}}async function authInternal(provider,{serverUrl,authorizationCode,scope:scope2,resourceMetadataUrl,fetchFn}){let resourceMetadata,
+authorizationServerUrl;try{resourceMetadata=await discoverOAuthProtectedResourceMetadata(serverUrl,{resourceMetadataUrl},fetchFn),resourceMetadata.authorization_servers&&resourceMetadata.authorization_servers.length>0&&(authorizationServerUrl=resourceMetadata.authorization_servers[0])}catch{}authorizationServerUrl||(authorizationServerUrl=new URL("/",serverUrl));const resource=await selectResourceURL(serverUrl,provider,resourceMetadata),metadata2=await discoverAuthorizationServerMetadata(authorizationServerUrl,
+{fetchFn});let clientInformation=await Promise.resolve(provider.clientInformation());if(!clientInformation){if(authorizationCode!==void 0)throw new Error("Existing OAuth client information is required when exchanging an authorization code");const supportsUrlBasedClientId=metadata2?.client_id_metadata_document_supported===!0,clientMetadataUrl=provider.clientMetadataUrl;if(clientMetadataUrl&&!isHttpsUrl(clientMetadataUrl))throw new InvalidClientMetadataError(`clientMetadataUrl must be a valid HTTP\
+S URL with a non-root pathname, got: ${clientMetadataUrl}`);if(supportsUrlBasedClientId&&clientMetadataUrl)clientInformation={client_id:clientMetadataUrl},await provider.saveClientInformation?.(clientInformation);else{if(!provider.saveClientInformation)throw new Error("OAuth client information must be saveable for dynamic registration");const fullInformation=await registerClient(authorizationServerUrl,{metadata:metadata2,clientMetadata:provider.clientMetadata,fetchFn});await provider.saveClientInformation(
+fullInformation),clientInformation=fullInformation}}const nonInteractiveFlow=!provider.redirectUrl;if(authorizationCode!==void 0||nonInteractiveFlow){const tokens2=await fetchToken(provider,authorizationServerUrl,{metadata:metadata2,resource,authorizationCode,fetchFn});return await provider.saveTokens(tokens2),"AUTHORIZED"}const tokens=await provider.tokens();if(tokens?.refresh_token)try{const newTokens=await refreshAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,refreshToken:tokens.
+refresh_token,resource,addClientAuthentication:provider.addClientAuthentication,fetchFn});return await provider.saveTokens(newTokens),"AUTHORIZED"}catch(error2){if(!(!(error2 instanceof OAuthError)||error2 instanceof ServerError))throw error2}const state2=provider.state?await provider.state():void 0,{authorizationUrl,codeVerifier}=await startAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,state:state2,redirectUrl:provider.redirectUrl,scope:scope2||resourceMetadata?.scopes_supported?.
+join(" ")||provider.clientMetadata.scope,resource});return await provider.saveCodeVerifier(codeVerifier),await provider.redirectToAuthorization(authorizationUrl),"REDIRECT"}function isHttpsUrl(value){if(!value)return!1;try{const url2=new URL(value);return url2.protocol==="https:"&&url2.pathname!=="/"}catch{return!1}}async function selectResourceURL(serverUrl,provider,resourceMetadata){const defaultResource=resourceUrlFromServerUrl(serverUrl);if(provider.validateResourceURL)return await provider.
+validateResourceURL(defaultResource,resourceMetadata?.resource);if(resourceMetadata){if(!checkResourceAllowed({requestedResource:defaultResource,configuredResource:resourceMetadata.resource}))throw new Error(`Protected resource ${resourceMetadata.resource} does not match expected ${defaultResource} (or origin)`);return new URL(resourceMetadata.resource)}}function extractWWWAuthenticateParams(res){const authenticateHeader=res.headers.get("WWW-Authenticate");if(!authenticateHeader)return{};const[type2,
+scheme2]=authenticateHeader.split(" ");if(type2.toLowerCase()!=="bearer"||!scheme2)return{};const resourceMetadataMatch=extractFieldFromWwwAuth(res,"resource_metadata")||void 0;let resourceMetadataUrl;if(resourceMetadataMatch)try{resourceMetadataUrl=new URL(resourceMetadataMatch)}catch{}const scope2=extractFieldFromWwwAuth(res,"scope")||void 0,error2=extractFieldFromWwwAuth(res,"error")||void 0;return{resourceMetadataUrl,scope:scope2,error:error2}}function extractFieldFromWwwAuth(response,fieldName){
+const wwwAuthHeader=response.headers.get("WWW-Authenticate");if(!wwwAuthHeader)return null;const pattern2=new RegExp(`${fieldName}=(?:"([^"]+)"|([^\\s,]+))`),match=wwwAuthHeader.match(pattern2);return match?match[1]||match[2]:null}async function discoverOAuthProtectedResourceMetadata(serverUrl,opts,fetchFn=fetch){const response=await discoverMetadataWithFallback(serverUrl,"oauth-protected-resource",fetchFn,{protocolVersion:opts?.protocolVersion,metadataUrl:opts?.resourceMetadataUrl});if(!response||
+response.status===404)throw await response?.body?.cancel(),new Error("Resource server does not implement OAuth 2.0 Protected Resource Metadata.");if(!response.ok)throw await response.body?.cancel(),new Error(`HTTP ${response.status} trying to load well-known OAuth protected resource metadata.`);return OAuthProtectedResourceMetadataSchema.parse(await response.json())}async function fetchWithCorsRetry(url2,headers,fetchFn=fetch){try{return await fetchFn(url2,{headers})}catch(error2){if(error2 instanceof
+TypeError)return headers?fetchWithCorsRetry(url2,void 0,fetchFn):void 0;throw error2}}function buildWellKnownPath(wellKnownPrefix,pathname="",options={}){return pathname.endsWith("/")&&(pathname=pathname.slice(0,-1)),options.prependPathname?`${pathname}/.well-known/${wellKnownPrefix}`:`/.well-known/${wellKnownPrefix}${pathname}`}async function tryMetadataDiscovery(url2,protocolVersion,fetchFn=fetch){return await fetchWithCorsRetry(url2,{"MCP-Protocol-Version":protocolVersion},fetchFn)}function shouldAttemptFallback(response,pathname){
+return!response||response.status>=400&&response.status<500&&pathname!=="/"}async function discoverMetadataWithFallback(serverUrl,wellKnownType,fetchFn,opts){const issuer=new URL(serverUrl),protocolVersion=opts?.protocolVersion??LATEST_PROTOCOL_VERSION;let url2;if(opts?.metadataUrl)url2=new URL(opts.metadataUrl);else{const wellKnownPath=buildWellKnownPath(wellKnownType,issuer.pathname);url2=new URL(wellKnownPath,opts?.metadataServerUrl??issuer),url2.search=issuer.search}let response=await tryMetadataDiscovery(
+url2,protocolVersion,fetchFn);if(!opts?.metadataUrl&&shouldAttemptFallback(response,issuer.pathname)){const rootUrl=new URL(`/.well-known/${wellKnownType}`,issuer);response=await tryMetadataDiscovery(rootUrl,protocolVersion,fetchFn)}return response}function buildDiscoveryUrls(authorizationServerUrl){const url2=typeof authorizationServerUrl=="string"?new URL(authorizationServerUrl):authorizationServerUrl,hasPath=url2.pathname!=="/",urlsToTry=[];if(!hasPath)return urlsToTry.push({url:new URL("/.we\
+ll-known/oauth-authorization-server",url2.origin),type:"oauth"}),urlsToTry.push({url:new URL("/.well-known/openid-configuration",url2.origin),type:"oidc"}),urlsToTry;let pathname=url2.pathname;return pathname.endsWith("/")&&(pathname=pathname.slice(0,-1)),urlsToTry.push({url:new URL(`/.well-known/oauth-authorization-server${pathname}`,url2.origin),type:"oauth"}),urlsToTry.push({url:new URL(`/.well-known/openid-configuration${pathname}`,url2.origin),type:"oidc"}),urlsToTry.push({url:new URL(`${pathname}\
+/.well-known/openid-configuration`,url2.origin),type:"oidc"}),urlsToTry}async function discoverAuthorizationServerMetadata(authorizationServerUrl,{fetchFn=fetch,protocolVersion=LATEST_PROTOCOL_VERSION}={}){const headers={"MCP-Protocol-Version":protocolVersion,Accept:"application/json"},urlsToTry=buildDiscoveryUrls(authorizationServerUrl);for(const{url:endpointUrl,type:type2}of urlsToTry){const response=await fetchWithCorsRetry(endpointUrl,headers,fetchFn);if(response){if(!response.ok){if(await response.
+body?.cancel(),response.status>=400&&response.status<500)continue;throw new Error(`HTTP ${response.status} trying to load ${type2==="oauth"?"OAuth":"OpenID provider"} metadata from ${endpointUrl}`)}return type2==="oauth"?OAuthMetadataSchema.parse(await response.json()):OpenIdProviderDiscoveryMetadataSchema.parse(await response.json())}}}async function startAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,redirectUrl,scope:scope2,state:state2,resource}){let authorizationUrl;
+if(metadata2){if(authorizationUrl=new URL(metadata2.authorization_endpoint),!metadata2.response_types_supported.includes(AUTHORIZATION_CODE_RESPONSE_TYPE))throw new Error(`Incompatible auth server: does not support response type ${AUTHORIZATION_CODE_RESPONSE_TYPE}`);if(metadata2.code_challenge_methods_supported&&!metadata2.code_challenge_methods_supported.includes(AUTHORIZATION_CODE_CHALLENGE_METHOD))throw new Error(`Incompatible auth server: does not support code challenge method ${AUTHORIZATION_CODE_CHALLENGE_METHOD}`)}else
+authorizationUrl=new URL("/authorize",authorizationServerUrl);const challenge=await pkceChallenge(),codeVerifier=challenge.code_verifier,codeChallenge=challenge.code_challenge;return authorizationUrl.searchParams.set("response_type",AUTHORIZATION_CODE_RESPONSE_TYPE),authorizationUrl.searchParams.set("client_id",clientInformation.client_id),authorizationUrl.searchParams.set("code_challenge",codeChallenge),authorizationUrl.searchParams.set("code_challenge_method",AUTHORIZATION_CODE_CHALLENGE_METHOD),
+authorizationUrl.searchParams.set("redirect_uri",String(redirectUrl)),state2&&authorizationUrl.searchParams.set("state",state2),scope2&&authorizationUrl.searchParams.set("scope",scope2),scope2?.includes("offline_access")&&authorizationUrl.searchParams.append("prompt","consent"),resource&&authorizationUrl.searchParams.set("resource",resource.href),{authorizationUrl,codeVerifier}}function prepareAuthorizationCodeRequest(authorizationCode,codeVerifier,redirectUri){return new URLSearchParams({grant_type:"\
+authorization_code",code:authorizationCode,code_verifier:codeVerifier,redirect_uri:String(redirectUri)})}async function executeTokenRequest(authorizationServerUrl,{metadata:metadata2,tokenRequestParams,clientInformation,addClientAuthentication,resource,fetchFn}){const tokenUrl=metadata2?.token_endpoint?new URL(metadata2.token_endpoint):new URL("/token",authorizationServerUrl),headers=new Headers({"Content-Type":"application/x-www-form-urlencoded",Accept:"application/json"});if(resource&&tokenRequestParams.
+set("resource",resource.href),addClientAuthentication)await addClientAuthentication(headers,tokenRequestParams,tokenUrl,metadata2);else if(clientInformation){const supportedMethods=metadata2?.token_endpoint_auth_methods_supported??[],authMethod=selectClientAuthMethod(clientInformation,supportedMethods);applyClientAuthentication(authMethod,clientInformation,headers,tokenRequestParams)}const response=await(fetchFn??fetch)(tokenUrl,{method:"POST",headers,body:tokenRequestParams});if(!response.ok)throw await parseErrorResponse(
+response);return OAuthTokensSchema.parse(await response.json())}async function refreshAuthorization(authorizationServerUrl,{metadata:metadata2,clientInformation,refreshToken,resource,addClientAuthentication,fetchFn}){const tokenRequestParams=new URLSearchParams({grant_type:"refresh_token",refresh_token:refreshToken}),tokens=await executeTokenRequest(authorizationServerUrl,{metadata:metadata2,tokenRequestParams,clientInformation,addClientAuthentication,resource,fetchFn});return{refresh_token:refreshToken,
+...tokens}}async function fetchToken(provider,authorizationServerUrl,{metadata:metadata2,resource,authorizationCode,fetchFn}={}){const scope2=provider.clientMetadata.scope;let tokenRequestParams;if(provider.prepareTokenRequest&&(tokenRequestParams=await provider.prepareTokenRequest(scope2)),!tokenRequestParams){if(!authorizationCode)throw new Error("Either provider.prepareTokenRequest() or authorizationCode is required");if(!provider.redirectUrl)throw new Error("redirectUrl is required for autho\
+rization_code flow");const codeVerifier=await provider.codeVerifier();tokenRequestParams=prepareAuthorizationCodeRequest(authorizationCode,codeVerifier,provider.redirectUrl)}const clientInformation=await provider.clientInformation();return executeTokenRequest(authorizationServerUrl,{metadata:metadata2,tokenRequestParams,clientInformation:clientInformation??void 0,addClientAuthentication:provider.addClientAuthentication,resource,fetchFn})}async function registerClient(authorizationServerUrl,{metadata:metadata2,
+clientMetadata,fetchFn}){let registrationUrl;if(metadata2){if(!metadata2.registration_endpoint)throw new Error("Incompatible auth server: does not support dynamic client registration");registrationUrl=new URL(metadata2.registration_endpoint)}else registrationUrl=new URL("/register",authorizationServerUrl);const response=await(fetchFn??fetch)(registrationUrl,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(clientMetadata)});if(!response.ok)throw await parseErrorResponse(
+response);return OAuthClientInformationFullSchema.parse(await response.json())}let ParseError$1=class extends Error{constructor(message,options){super(message),this.name="ParseError",this.type=options.type,this.field=options.field,this.value=options.value,this.line=options.line}};function noop(_arg){}function createParser$1(callbacks){if(typeof callbacks=="function")throw new TypeError("`callbacks` must be an object, got a function instead. Did you mean `{onEvent: fn}`?");const{onEvent=noop,onError=noop,
+onRetry=noop,onComment}=callbacks;let incompleteLine="",isFirstChunk=!0,id2,data="",eventType="";function feed(newChunk){const chunk=isFirstChunk?newChunk.replace(/^\xEF\xBB\xBF/,""):newChunk,[complete,incomplete]=splitLines(`${incompleteLine}${chunk}`);for(const line of complete)parseLine(line);incompleteLine=incomplete,isFirstChunk=!1}function parseLine(line){if(line===""){dispatchEvent2();return}if(line.startsWith(":")){onComment&&onComment(line.slice(line.startsWith(": ")?2:1));return}const fieldSeparatorIndex=line.
+indexOf(":");if(fieldSeparatorIndex!==-1){const field=line.slice(0,fieldSeparatorIndex),offset2=line[fieldSeparatorIndex+1]===" "?2:1,value=line.slice(fieldSeparatorIndex+offset2);processField(field,value,line);return}processField(line,"",line)}function processField(field,value,line){switch(field){case"event":eventType=value;break;case"data":data=`${data}${value}
+`;break;case"id":id2=value.includes("\0")?void 0:value;break;case"retry":/^\d+$/.test(value)?onRetry(parseInt(value,10)):onError(new ParseError$1(`Invalid \`retry\` value: "${value}"`,{type:"invalid-retry",value,line}));break;default:onError(new ParseError$1(`Unknown field "${field.length>20?`${field.slice(0,20)}…`:field}"`,{type:"unknown-field",field,value,line}));break}}function dispatchEvent2(){data.length>0&&onEvent({id:id2,event:eventType||void 0,data:data.endsWith(`
+`)?data.slice(0,-1):data}),id2=void 0,data="",eventType=""}function reset2(options={}){incompleteLine&&options.consume&&parseLine(incompleteLine),isFirstChunk=!0,id2=void 0,data="",eventType="",incompleteLine=""}return{feed,reset:reset2}}function splitLines(chunk){const lines=[];let incompleteLine="",searchIndex=0;for(;searchIndex<chunk.length;){const crIndex=chunk.indexOf("\r",searchIndex),lfIndex=chunk.indexOf(`
+`,searchIndex);let lineEnd=-1;if(crIndex!==-1&&lfIndex!==-1?lineEnd=Math.min(crIndex,lfIndex):crIndex!==-1?crIndex===chunk.length-1?lineEnd=-1:lineEnd=crIndex:lfIndex!==-1&&(lineEnd=lfIndex),lineEnd===-1){incompleteLine=chunk.slice(searchIndex);break}else{const line=chunk.slice(searchIndex,lineEnd);lines.push(line),searchIndex=lineEnd+1,chunk[searchIndex-1]==="\r"&&chunk[searchIndex]===`
+`&&searchIndex++}}return[lines,incompleteLine]}class EventSourceParserStream extends TransformStream{constructor({onError,onRetry,onComment}={}){let parser;super({start(controller){parser=createParser$1({onEvent:event2=>{controller.enqueue(event2)},onError(error2){onError==="terminate"?controller.error(error2):typeof onError=="function"&&onError(error2)},onRetry,onComment})},transform(chunk){parser.feed(chunk)}})}}const DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS={initialReconnectionDelay:1e3,maxReconnectionDelay:3e4,
+reconnectionDelayGrowFactor:1.5,maxRetries:2};class StreamableHTTPError extends Error{constructor(code2,message){super(`Streamable HTTP error: ${message}`),this.code=code2}}class StreamableHTTPClientTransport{constructor(url2,opts){this._hasCompletedAuthFlow=!1,this._url=url2,this._resourceMetadataUrl=void 0,this._scope=void 0,this._requestInit=opts?.requestInit,this._authProvider=opts?.authProvider,this._fetch=opts?.fetch,this._fetchWithInit=createFetchWithInit(opts?.fetch,opts?.requestInit),this.
+_sessionId=opts?.sessionId,this._reconnectionOptions=opts?.reconnectionOptions??DEFAULT_STREAMABLE_HTTP_RECONNECTION_OPTIONS}async _authThenStart(){if(!this._authProvider)throw new UnauthorizedError("No auth provider");let result;try{result=await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})}catch(error2){throw this.onerror?.(error2),error2}if(result!=="AUTHORIZED")throw new UnauthorizedError;return await this.
+_startOrAuthSse({resumptionToken:void 0})}async _commonHeaders(){const headers={};if(this._authProvider){const tokens=await this._authProvider.tokens();tokens&&(headers.Authorization=`Bearer ${tokens.access_token}`)}this._sessionId&&(headers["mcp-session-id"]=this._sessionId),this._protocolVersion&&(headers["mcp-protocol-version"]=this._protocolVersion);const extraHeaders=normalizeHeaders(this._requestInit?.headers);return new Headers({...headers,...extraHeaders})}async _startOrAuthSse(options){
+const{resumptionToken}=options;try{const headers=await this._commonHeaders();headers.set("Accept","text/event-stream"),resumptionToken&&headers.set("last-event-id",resumptionToken);const response=await(this._fetch??fetch)(this._url,{method:"GET",headers,signal:this._abortController?.signal});if(!response.ok){if(await response.body?.cancel(),response.status===401&&this._authProvider)return await this._authThenStart();if(response.status===405)return;throw new StreamableHTTPError(response.status,`F\
+ailed to open SSE stream: ${response.statusText}`)}this._handleSseStream(response.body,options,!0)}catch(error2){throw this.onerror?.(error2),error2}}_getNextReconnectionDelay(attempt){if(this._serverRetryMs!==void 0)return this._serverRetryMs;const initialDelay=this._reconnectionOptions.initialReconnectionDelay,growFactor=this._reconnectionOptions.reconnectionDelayGrowFactor,maxDelay=this._reconnectionOptions.maxReconnectionDelay;return Math.min(initialDelay*Math.pow(growFactor,attempt),maxDelay)}_scheduleReconnection(options,attemptCount=0){
+const maxRetries=this._reconnectionOptions.maxRetries;if(attemptCount>=maxRetries){this.onerror?.(new Error(`Maximum reconnection attempts (${maxRetries}) exceeded.`));return}const delay=this._getNextReconnectionDelay(attemptCount);this._reconnectionTimeout=setTimeout(()=>{this._startOrAuthSse(options).catch(error2=>{this.onerror?.(new Error(`Failed to reconnect SSE stream: ${error2 instanceof Error?error2.message:String(error2)}`)),this._scheduleReconnection(options,attemptCount+1)})},delay)}_handleSseStream(stream,options,isReconnectable){
+if(!stream)return;const{onresumptiontoken,replayMessageId}=options;let lastEventId,hasPrimingEvent=!1,receivedResponse=!1;(async()=>{try{const reader=stream.pipeThrough(new TextDecoderStream).pipeThrough(new EventSourceParserStream({onRetry:retryMs=>{this._serverRetryMs=retryMs}})).getReader();for(;;){const{value:event2,done}=await reader.read();if(done)break;if(event2.id&&(lastEventId=event2.id,hasPrimingEvent=!0,onresumptiontoken?.(event2.id)),!!event2.data&&(!event2.event||event2.event==="mes\
+sage"))try{const message=JSONRPCMessageSchema.parse(JSON.parse(event2.data));isJSONRPCResultResponse(message)&&(receivedResponse=!0,replayMessageId!==void 0&&(message.id=replayMessageId)),this.onmessage?.(message)}catch(error2){this.onerror?.(error2)}}(isReconnectable||hasPrimingEvent)&&!receivedResponse&&this._abortController&&!this._abortController.signal.aborted&&this._scheduleReconnection({resumptionToken:lastEventId,onresumptiontoken,replayMessageId},0)}catch(error2){if(this.onerror?.(new Error(
+`SSE stream disconnected: ${error2}`)),(isReconnectable||hasPrimingEvent)&&!receivedResponse&&this._abortController&&!this._abortController.signal.aborted)try{this._scheduleReconnection({resumptionToken:lastEventId,onresumptiontoken,replayMessageId},0)}catch(error3){this.onerror?.(new Error(`Failed to reconnect: ${error3 instanceof Error?error3.message:String(error3)}`))}}})()}async start(){if(this._abortController)throw new Error("StreamableHTTPClientTransport already started! If using Client c\
+lass, note that connect() calls start() automatically.");this._abortController=new AbortController}async finishAuth(authorizationCode){if(!this._authProvider)throw new UnauthorizedError("No auth provider");if(await auth(this._authProvider,{serverUrl:this._url,authorizationCode,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError("Failed to authorize")}async close(){this._reconnectionTimeout&&(clearTimeout(this._reconnectionTimeout),
+this._reconnectionTimeout=void 0),this._abortController?.abort(),this.onclose?.()}async send(message,options){try{const{resumptionToken,onresumptiontoken}=options||{};if(resumptionToken){this._startOrAuthSse({resumptionToken,replayMessageId:isJSONRPCRequest(message)?message.id:void 0}).catch(err=>this.onerror?.(err));return}const headers=await this._commonHeaders();headers.set("content-type","application/json"),headers.set("accept","application/json, text/event-stream");const init2={...this._requestInit,
+method:"POST",headers,body:JSON.stringify(message),signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._url,init2),sessionId=response.headers.get("mcp-session-id");if(sessionId&&(this._sessionId=sessionId),!response.ok){const text2=await response.text().catch(()=>null);if(response.status===401&&this._authProvider){if(this._hasCompletedAuthFlow)throw new StreamableHTTPError(401,"Server returned 401 after successful authentication");const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(
+response);if(this._resourceMetadataUrl=resourceMetadataUrl,this._scope=scope2,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError;return this._hasCompletedAuthFlow=!0,this.send(message)}if(response.status===403&&this._authProvider){const{resourceMetadataUrl,scope:scope2,error:error2}=extractWWWAuthenticateParams(response);if(error2==="insufficient_scope"){const wwwAuthHeader=response.
+headers.get("WWW-Authenticate");if(this._lastUpscopingHeader===wwwAuthHeader)throw new StreamableHTTPError(403,"Server returned 403 after trying upscoping");if(scope2&&(this._scope=scope2),resourceMetadataUrl&&(this._resourceMetadataUrl=resourceMetadataUrl),this._lastUpscopingHeader=wwwAuthHeader??void 0,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetch})!=="AUTHORIZED")throw new UnauthorizedError;return this.send(
+message)}}throw new StreamableHTTPError(response.status,`Error POSTing to endpoint: ${text2}`)}if(this._hasCompletedAuthFlow=!1,this._lastUpscopingHeader=void 0,response.status===202){await response.body?.cancel(),isInitializedNotification(message)&&this._startOrAuthSse({resumptionToken:void 0}).catch(err=>this.onerror?.(err));return}const hasRequests=(Array.isArray(message)?message:[message]).filter(msg=>"method"in msg&&"id"in msg&&msg.id!==void 0).length>0,contentType=response.headers.get("con\
+tent-type");if(hasRequests)if(contentType?.includes("text/event-stream"))this._handleSseStream(response.body,{onresumptiontoken},!1);else if(contentType?.includes("application/json")){const data=await response.json(),responseMessages=Array.isArray(data)?data.map(msg=>JSONRPCMessageSchema.parse(msg)):[JSONRPCMessageSchema.parse(data)];for(const msg of responseMessages)this.onmessage?.(msg)}else throw await response.body?.cancel(),new StreamableHTTPError(-1,`Unexpected content type: ${contentType}`);else
+await response.body?.cancel()}catch(error2){throw this.onerror?.(error2),error2}}get sessionId(){return this._sessionId}async terminateSession(){if(this._sessionId)try{const headers=await this._commonHeaders(),init2={...this._requestInit,method:"DELETE",headers,signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._url,init2);if(await response.body?.cancel(),!response.ok&&response.status!==405)throw new StreamableHTTPError(response.status,`Failed to terminate session: ${response.
+statusText}`);this._sessionId=void 0}catch(error2){throw this.onerror?.(error2),error2}}setProtocolVersion(version2){this._protocolVersion=version2}get protocolVersion(){return this._protocolVersion}async resumeStream(lastEventId,options){await this._startOrAuthSse({resumptionToken:lastEventId,onresumptiontoken:options?.onresumptiontoken})}}class ErrorEvent extends Event{constructor(type2,errorEventInitDict){var _a2,_b;super(type2),this.code=(_a2=errorEventInitDict?.code)!=null?_a2:void 0,this.message=
+(_b=errorEventInitDict?.message)!=null?_b:void 0}[Symbol.for("nodejs.util.inspect.custom")](_depth,options,inspect){return inspect(inspectableError(this),options)}[Symbol.for("Deno.customInspect")](inspect,options){return inspect(inspectableError(this),options)}}function syntaxError(message){const DomException=globalThis.DOMException;return typeof DomException=="function"?new DomException(message,"SyntaxError"):new SyntaxError(message)}function flattenError(err){return err instanceof Error?"erro\
+rs"in err&&Array.isArray(err.errors)?err.errors.map(flattenError).join(", "):"cause"in err&&err.cause instanceof Error?`${err}: ${flattenError(err.cause)}`:err.message:`${err}`}function inspectableError(err){return{type:err.type,message:err.message,code:err.code,defaultPrevented:err.defaultPrevented,cancelable:err.cancelable,timeStamp:err.timeStamp}}var __typeError2=msg=>{throw TypeError(msg)},__accessCheck2=(obj,member,msg)=>member.has(obj)||__typeError2("Cannot "+msg),__privateGet2=(obj,member,getter)=>(__accessCheck2(
+obj,member,"read from private field"),getter?getter.call(obj):member.get(obj)),__privateAdd2=(obj,member,value)=>member.has(obj)?__typeError2("Cannot add the same private member more than once"):member instanceof WeakSet?member.add(obj):member.set(obj,value),__privateSet2=(obj,member,value,setter)=>(__accessCheck2(obj,member,"write to private field"),member.set(obj,value),value),__privateMethod2=(obj,member,method)=>(__accessCheck2(obj,member,"access private method"),method),_readyState,_url$1,_redirectUrl,
+_withCredentials,_fetch,_reconnectInterval,_reconnectTimer,_lastEventId,_controller,_parser,_onError,_onMessage,_onOpen,_EventSource_instances,connect_fn,_onFetchResponse,_onFetchError,getRequestOptions_fn,_onEvent,_onRetryChange,failConnection_fn,scheduleReconnect_fn,_reconnect;class EventSource extends EventTarget{constructor(url2,eventSourceInitDict){var _a2,_b;super(),__privateAdd2(this,_EventSource_instances),this.CONNECTING=0,this.OPEN=1,this.CLOSED=2,__privateAdd2(this,_readyState),__privateAdd2(
+this,_url$1),__privateAdd2(this,_redirectUrl),__privateAdd2(this,_withCredentials),__privateAdd2(this,_fetch),__privateAdd2(this,_reconnectInterval),__privateAdd2(this,_reconnectTimer),__privateAdd2(this,_lastEventId,null),__privateAdd2(this,_controller),__privateAdd2(this,_parser),__privateAdd2(this,_onError,null),__privateAdd2(this,_onMessage,null),__privateAdd2(this,_onOpen,null),__privateAdd2(this,_onFetchResponse,async response=>{var _a22;__privateGet2(this,_parser).reset();const{body:body2,
+redirected,status,headers}=response;if(status===204){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,"Server sent HTTP 204, not reconnecting",204),this.close();return}if(redirected?__privateSet2(this,_redirectUrl,new URL(response.url)):__privateSet2(this,_redirectUrl,void 0),status!==200){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,`Non-200 status code (${status})`,status);return}if(!(headers.get("content-type")||"").startsWith("text/event-\
+stream")){__privateMethod2(this,_EventSource_instances,failConnection_fn).call(this,'Invalid content type, expected "text/event-stream"',status);return}if(__privateGet2(this,_readyState)===this.CLOSED)return;__privateSet2(this,_readyState,this.OPEN);const openEvent=new Event("open");if((_a22=__privateGet2(this,_onOpen))==null||_a22.call(this,openEvent),this.dispatchEvent(openEvent),typeof body2!="object"||!body2||!("getReader"in body2)){__privateMethod2(this,_EventSource_instances,failConnection_fn).
+call(this,"Invalid response body, expected a web ReadableStream",status),this.close();return}const decoder=new TextDecoder,reader=body2.getReader();let open2=!0;do{const{done,value}=await reader.read();value&&__privateGet2(this,_parser).feed(decoder.decode(value,{stream:!done})),done&&(open2=!1,__privateGet2(this,_parser).reset(),__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this))}while(open2)}),__privateAdd2(this,_onFetchError,err=>{__privateSet2(this,_controller,void 0),
+!(err.name==="AbortError"||err.type==="aborted")&&__privateMethod2(this,_EventSource_instances,scheduleReconnect_fn).call(this,flattenError(err))}),__privateAdd2(this,_onEvent,event2=>{typeof event2.id=="string"&&__privateSet2(this,_lastEventId,event2.id);const messageEvent=new MessageEvent(event2.event||"message",{data:event2.data,origin:__privateGet2(this,_redirectUrl)?__privateGet2(this,_redirectUrl).origin:__privateGet2(this,_url$1).origin,lastEventId:event2.id||""});__privateGet2(this,_onMessage)&&
+(!event2.event||event2.event==="message")&&__privateGet2(this,_onMessage).call(this,messageEvent),this.dispatchEvent(messageEvent)}),__privateAdd2(this,_onRetryChange,value=>{__privateSet2(this,_reconnectInterval,value)}),__privateAdd2(this,_reconnect,()=>{__privateSet2(this,_reconnectTimer,void 0),__privateGet2(this,_readyState)===this.CONNECTING&&__privateMethod2(this,_EventSource_instances,connect_fn).call(this)});try{if(url2 instanceof URL)__privateSet2(this,_url$1,url2);else if(typeof url2==
+"string")__privateSet2(this,_url$1,new URL(url2,getBaseURL()));else throw new Error("Invalid URL")}catch{throw syntaxError("An invalid or illegal string was specified")}__privateSet2(this,_parser,createParser$1({onEvent:__privateGet2(this,_onEvent),onRetry:__privateGet2(this,_onRetryChange)})),__privateSet2(this,_readyState,this.CONNECTING),__privateSet2(this,_reconnectInterval,3e3),__privateSet2(this,_fetch,(_a2=eventSourceInitDict?.fetch)!=null?_a2:globalThis.fetch),__privateSet2(this,_withCredentials,
+(_b=eventSourceInitDict?.withCredentials)!=null?_b:!1),__privateMethod2(this,_EventSource_instances,connect_fn).call(this)}get readyState(){return __privateGet2(this,_readyState)}get url(){return __privateGet2(this,_url$1).href}get withCredentials(){return __privateGet2(this,_withCredentials)}get onerror(){return __privateGet2(this,_onError)}set onerror(value){__privateSet2(this,_onError,value)}get onmessage(){return __privateGet2(this,_onMessage)}set onmessage(value){__privateSet2(this,_onMessage,
+value)}get onopen(){return __privateGet2(this,_onOpen)}set onopen(value){__privateSet2(this,_onOpen,value)}addEventListener(type2,listener,options){const listen2=listener;super.addEventListener(type2,listen2,options)}removeEventListener(type2,listener,options){const listen2=listener;super.removeEventListener(type2,listen2,options)}close(){__privateGet2(this,_reconnectTimer)&&clearTimeout(__privateGet2(this,_reconnectTimer)),__privateGet2(this,_readyState)!==this.CLOSED&&(__privateGet2(this,_controller)&&
+__privateGet2(this,_controller).abort(),__privateSet2(this,_readyState,this.CLOSED),__privateSet2(this,_controller,void 0))}}_readyState=new WeakMap,_url$1=new WeakMap,_redirectUrl=new WeakMap,_withCredentials=new WeakMap,_fetch=new WeakMap,_reconnectInterval=new WeakMap,_reconnectTimer=new WeakMap,_lastEventId=new WeakMap,_controller=new WeakMap,_parser=new WeakMap,_onError=new WeakMap,_onMessage=new WeakMap,_onOpen=new WeakMap,_EventSource_instances=new WeakSet,connect_fn=function(){__privateSet2(
+this,_readyState,this.CONNECTING),__privateSet2(this,_controller,new AbortController),__privateGet2(this,_fetch)(__privateGet2(this,_url$1),__privateMethod2(this,_EventSource_instances,getRequestOptions_fn).call(this)).then(__privateGet2(this,_onFetchResponse)).catch(__privateGet2(this,_onFetchError))},_onFetchResponse=new WeakMap,_onFetchError=new WeakMap,getRequestOptions_fn=function(){var _a2;const init2={mode:"cors",redirect:"follow",headers:{Accept:"text/event-stream",...__privateGet2(this,
+_lastEventId)?{"Last-Event-ID":__privateGet2(this,_lastEventId)}:void 0},cache:"no-store",signal:(_a2=__privateGet2(this,_controller))==null?void 0:_a2.signal};return"window"in globalThis&&(init2.credentials=this.withCredentials?"include":"same-origin"),init2},_onEvent=new WeakMap,_onRetryChange=new WeakMap,failConnection_fn=function(message,code2){var _a2;__privateGet2(this,_readyState)!==this.CLOSED&&__privateSet2(this,_readyState,this.CLOSED);const errorEvent=new ErrorEvent("error",{code:code2,
+message});(_a2=__privateGet2(this,_onError))==null||_a2.call(this,errorEvent),this.dispatchEvent(errorEvent)},scheduleReconnect_fn=function(message,code2){var _a2;if(__privateGet2(this,_readyState)===this.CLOSED)return;__privateSet2(this,_readyState,this.CONNECTING);const errorEvent=new ErrorEvent("error",{code:code2,message});(_a2=__privateGet2(this,_onError))==null||_a2.call(this,errorEvent),this.dispatchEvent(errorEvent),__privateSet2(this,_reconnectTimer,setTimeout(__privateGet2(this,_reconnect),
+__privateGet2(this,_reconnectInterval)))},_reconnect=new WeakMap,EventSource.CONNECTING=0,EventSource.OPEN=1,EventSource.CLOSED=2;function getBaseURL(){const doc="document"in globalThis?globalThis.document:void 0;return doc&&typeof doc=="object"&&"baseURI"in doc&&typeof doc.baseURI=="string"?doc.baseURI:void 0}class SseError extends Error{constructor(code2,message,event2){super(`SSE error: ${message}`),this.code=code2,this.event=event2}}class SSEClientTransport{constructor(url2,opts){this._url=url2,
+this._resourceMetadataUrl=void 0,this._scope=void 0,this._eventSourceInit=opts?.eventSourceInit,this._requestInit=opts?.requestInit,this._authProvider=opts?.authProvider,this._fetch=opts?.fetch,this._fetchWithInit=createFetchWithInit(opts?.fetch,opts?.requestInit)}async _authThenStart(){if(!this._authProvider)throw new UnauthorizedError("No auth provider");let result;try{result=await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this.
+_fetchWithInit})}catch(error2){throw this.onerror?.(error2),error2}if(result!=="AUTHORIZED")throw new UnauthorizedError;return await this._startOrAuth()}async _commonHeaders(){const headers={};if(this._authProvider){const tokens=await this._authProvider.tokens();tokens&&(headers.Authorization=`Bearer ${tokens.access_token}`)}this._protocolVersion&&(headers["mcp-protocol-version"]=this._protocolVersion);const extraHeaders=normalizeHeaders(this._requestInit?.headers);return new Headers({...headers,
+...extraHeaders})}_startOrAuth(){const fetchImpl=this?._eventSourceInit?.fetch??this._fetch??fetch;return new Promise((resolve2,reject)=>{this._eventSource=new EventSource(this._url.href,{...this._eventSourceInit,fetch:async(url2,init2)=>{const headers=await this._commonHeaders();headers.set("Accept","text/event-stream");const response=await fetchImpl(url2,{...init2,headers});if(response.status===401&&response.headers.has("www-authenticate")){const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(
+response);this._resourceMetadataUrl=resourceMetadataUrl,this._scope=scope2}return response}}),this._abortController=new AbortController,this._eventSource.onerror=event2=>{if(event2.code===401&&this._authProvider){this._authThenStart().then(resolve2,reject);return}const error2=new SseError(event2.code,event2.message,event2);reject(error2),this.onerror?.(error2)},this._eventSource.onopen=()=>{},this._eventSource.addEventListener("endpoint",event2=>{const messageEvent=event2;try{if(this._endpoint=new URL(
+messageEvent.data,this._url),this._endpoint.origin!==this._url.origin)throw new Error(`Endpoint origin does not match connection origin: ${this._endpoint.origin}`)}catch(error2){reject(error2),this.onerror?.(error2),this.close();return}resolve2()}),this._eventSource.onmessage=event2=>{const messageEvent=event2;let message;try{message=JSONRPCMessageSchema.parse(JSON.parse(messageEvent.data))}catch(error2){this.onerror?.(error2);return}this.onmessage?.(message)}})}async start(){if(this._eventSource)
+throw new Error("SSEClientTransport already started! If using Client class, note that connect() calls start() automatically.");return await this._startOrAuth()}async finishAuth(authorizationCode){if(!this._authProvider)throw new UnauthorizedError("No auth provider");if(await auth(this._authProvider,{serverUrl:this._url,authorizationCode,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError("Failed to authorize")}async close(){
+this._abortController?.abort(),this._eventSource?.close(),this.onclose?.()}async send(message){if(!this._endpoint)throw new Error("Not connected");try{const headers=await this._commonHeaders();headers.set("content-type","application/json");const init2={...this._requestInit,method:"POST",headers,body:JSON.stringify(message),signal:this._abortController?.signal},response=await(this._fetch??fetch)(this._endpoint,init2);if(!response.ok){const text2=await response.text().catch(()=>null);if(response.status===
+401&&this._authProvider){const{resourceMetadataUrl,scope:scope2}=extractWWWAuthenticateParams(response);if(this._resourceMetadataUrl=resourceMetadataUrl,this._scope=scope2,await auth(this._authProvider,{serverUrl:this._url,resourceMetadataUrl:this._resourceMetadataUrl,scope:this._scope,fetchFn:this._fetchWithInit})!=="AUTHORIZED")throw new UnauthorizedError;return this.send(message)}throw new Error(`Error POSTing to endpoint (HTTP ${response.status}): ${text2}`)}await response.body?.cancel()}catch(error2){
+throw this.onerror?.(error2),error2}}setProtocolVersion(version2){this._protocolVersion=version2}}const SUBPROTOCOL="mcp";class WebSocketClientTransport{constructor(url2){this._url=url2}start(){if(this._socket)throw new Error("WebSocketClientTransport already started! If using Client class, note that connect() calls start() automatically.");return new Promise((resolve2,reject)=>{this._socket=new WebSocket(this._url,SUBPROTOCOL),this._socket.onerror=event2=>{const error2="error"in event2?event2.error:
+new Error(`WebSocket error: ${JSON.stringify(event2)}`);reject(error2),this.onerror?.(error2)},this._socket.onopen=()=>{resolve2()},this._socket.onclose=()=>{this.onclose?.()},this._socket.onmessage=event2=>{let message;try{message=JSONRPCMessageSchema.parse(JSON.parse(event2.data))}catch(error2){this.onerror?.(error2);return}this.onmessage?.(message)}})}async close(){this._socket?.close()}send(message){return new Promise((resolve2,reject)=>{if(!this._socket){reject(new Error("Not connected"));return}
+this._socket?.send(JSON.stringify(message)),resolve2()})}}class MCPService{static createLog(phase,message,level=MCPLogLevel.INFO,details){return{timestamp:new Date,phase,message,level,details}}static createDiagnosticRequestDetails(input,init2,baseInit,requestHeaders,extraRedactedHeaders){const body2=getRequestBody(input,init2),details={url:getRequestUrl(input),method:getRequestMethod(input,init2,baseInit).toUpperCase(),credentials:init2?.credentials??baseInit.credentials,mode:init2?.mode??baseInit.
+mode,headers:sanitizeHeaders(requestHeaders,extraRedactedHeaders,MCP_PARTIAL_REDACT_HEADERS),body:summarizeRequestBody(body2)},jsonRpcMethods=extractJsonRpcMethods(body2);return jsonRpcMethods&&(details.jsonRpcMethods=jsonRpcMethods),details}static summarizeError(error2){return error2 instanceof Error?{name:error2.name,message:error2.message,cause:error2.cause instanceof Error?{name:error2.cause.name,message:error2.cause.message}:error2.cause,stack:error2.stack?.split(`
+`).slice(0,6).join(`
+`)}:{value:String(error2)}}static getBrowserContext(targetUrl,useProxy){if(!(typeof window>"u"))return{location:window.location.href,origin:window.location.origin,protocol:window.location.protocol,isSecureContext:window.isSecureContext,targetOrigin:targetUrl.origin,targetProtocol:targetUrl.protocol,sameOrigin:window.location.origin===targetUrl.origin,useProxy}}static getConnectionHints(targetUrl,config2,error2){const hints=[],message=error2 instanceof Error?error2.message:String(error2),headerNames=Object.
+keys(config2.headers??{});return typeof window<"u"&&(window.location.protocol==="https:"&&targetUrl.protocol==="http:"&&!config2.useProxy&&hints.push("The page is running over HTTPS but the MCP server is HTTP. Browsers often block this as mixed content; enable the proxy or use HTTPS/WSS for the MCP server."),window.location.origin!==targetUrl.origin&&!config2.useProxy&&hints.push("This is a cross-origin browser request. If the server is reachable from curl or Node but not from the browser, missi\
+ng CORS headers are the most likely cause.")),headerNames.length>0&&hints.push(`Custom request headers are configured (${headerNames.join(", ")}). That triggers a CORS preflight, so the server must allow OPTIONS and include the matching Access-Control-Allow-Headers response.`),config2.credentials&&config2.credentials!=="omit"&&hints.push("Credentials are enabled for this connection. Cross-origin credentialed requests need Access-Control-Allow-Credentials: true and cannot use a wildcard Access-Co\
+ntrol-Allow-Origin."),message.includes("Failed to fetch")&&hints.push('"Failed to fetch" is a browser-level network failure. Common causes are CORS rejection, mixed-content blocking, certificate/TLS errors, DNS failures, or nothing listening on the target port.'),hints}static createDiagnosticFetch(serverName,config2,baseInit,targetUrl,useProxy,onLog){let enabled=!0;const logIfEnabled=log=>{enabled&&onLog?.(log)};return{fetch:async(input,init2)=>{const startedAt=performance.now(),requestHeaders=new Headers(
+baseInit.headers);if(typeof Request<"u"&&input instanceof Request)for(const[key2,value]of input.headers.entries())requestHeaders.set(key2,value);if(init2?.headers)for(const[key2,value]of new Headers(init2.headers).entries())requestHeaders.set(key2,value);const request=this.createDiagnosticRequestDetails(input,init2,baseInit,requestHeaders,Object.keys(config2.headers??{})),{method,url:url2}=request;logIfEnabled(this.createLog(MCPConnectionPhase.INITIALIZING,`HTTP ${method} ${url2}`,MCPLogLevel.INFO,
+{serverName,request}));try{const response=await fetch(input,{...baseInit,...init2,headers:requestHeaders}),durationMs=Math.round(performance.now()-startedAt);return logIfEnabled(this.createLog(MCPConnectionPhase.INITIALIZING,`HTTP ${response.status} ${method} ${url2} (${durationMs}ms)`,response.ok?MCPLogLevel.INFO:MCPLogLevel.WARN,{response:{url:url2,status:response.status,statusText:response.statusText,headers:sanitizeHeaders(response.headers,void 0,MCP_PARTIAL_REDACT_HEADERS),durationMs}})),response}catch(error2){
+const durationMs=Math.round(performance.now()-startedAt);throw logIfEnabled(this.createLog(MCPConnectionPhase.ERROR,`HTTP ${method} ${url2} failed: ${formatDiagnosticErrorMessage(error2)}`,MCPLogLevel.ERROR,{serverName,request,error:this.summarizeError(error2),browser:this.getBrowserContext(targetUrl,useProxy),hints:this.getConnectionHints(targetUrl,config2,error2),durationMs})),error2}},disable:()=>{enabled=!1}}}static isSessionExpiredError(error2){return error2 instanceof StreamableHTTPError&&
+error2.code===404}static createTransport(serverName,config2,onLog){if(!config2.url)throw new Error("MCP server configuration is missing url");const useProxy=config2.useProxy??!1,requestInit={};if(config2.headers&&(requestInit.headers=config2.useProxy?buildProxiedHeaders(config2.headers):config2.headers),useProxy&&(requestInit.headers={...getAuthHeaders(),...requestInit.headers}),config2.credentials&&(requestInit.credentials=config2.credentials),config2.transport===MCPTransportType.WEBSOCKET){if(useProxy)
+throw new Error("WebSocket transport is not supported when using CORS proxy. Use HTTP transport instead.");const url22=new URL(config2.url);return{transport:new WebSocketClientTransport(url22),type:MCPTransportType.WEBSOCKET,stopPhaseLogging:()=>{}}}const url2=useProxy?buildProxiedUrl(config2.url):new URL(config2.url),{fetch:diagnosticFetch,disable:stopPhaseLogging}=this.createDiagnosticFetch(serverName,config2,requestInit,url2,useProxy,onLog);try{return{transport:new StreamableHTTPClientTransport(
+url2,{requestInit,fetch:diagnosticFetch}),type:MCPTransportType.STREAMABLE_HTTP,stopPhaseLogging}}catch(httpError){console.warn("[MCPService] StreamableHTTP failed, trying SSE transport...",httpError);try{return{transport:new SSEClientTransport(url2,{requestInit,fetch:diagnosticFetch,eventSourceInit:{fetch:diagnosticFetch}}),type:MCPTransportType.SSE,stopPhaseLogging}}catch(sseError){const httpMsg=httpError instanceof Error?httpError.message:String(httpError),sseMsg=sseError instanceof Error?sseError.
+message:String(sseError);throw new Error(`Failed to create transport. StreamableHTTP: ${httpMsg}; SSE: ${sseMsg}`)}}}static extractServerInfo(impl){if(impl)return{name:impl.name,version:impl.version,title:impl.title,description:impl.description,websiteUrl:impl.websiteUrl,icons:impl.icons?.map(icon=>({src:icon.src,mimeType:icon.mimeType,sizes:icon.sizes,theme:icon.theme}))}}static async connect(serverName,serverConfig,clientInfo,capabilities,onPhase,listChangedHandlers){const startTime=performance.
+now(),effectiveClientInfo=clientInfo??DEFAULT_MCP_CONFIG.clientInfo,effectiveCapabilities=capabilities??DEFAULT_MCP_CONFIG.capabilities;onPhase?.(MCPConnectionPhase.TRANSPORT_CREATING,this.createLog(MCPConnectionPhase.TRANSPORT_CREATING,`Creating transport for ${serverConfig.url}`));const{transport,type:transportType,stopPhaseLogging}=this.createTransport(serverName,serverConfig,log=>onPhase?.(log.phase,log));transportType===MCPTransportType.WEBSOCKET&&(transport.onclose=()=>{console.log(`[MCPSe\
+rvice][${serverName}] WebSocket closed, notifying for reconnection`),onPhase?.(MCPConnectionPhase.DISCONNECTED,this.createLog(MCPConnectionPhase.DISCONNECTED,"WebSocket connection closed"))}),onPhase?.(MCPConnectionPhase.TRANSPORT_READY,this.createLog(MCPConnectionPhase.TRANSPORT_READY,`Transport ready (${transportType})`),{transportType});const client=new Client({name:effectiveClientInfo.name,version:effectiveClientInfo.version??DEFAULT_CLIENT_VERSION},{capabilities:effectiveCapabilities,listChanged:listChangedHandlers}),
+runtimeErrorHandler=error2=>{console.error(`[MCPService][${serverName}] Protocol error after initialize:`,error2)};client.onerror=error2=>{onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Protocol error: ${error2.message}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2)}))},onPhase?.(MCPConnectionPhase.INITIALIZING,this.createLog(MCPConnectionPhase.INITIALIZING,"Sending initialize request..."));try{await client.connect(transport),stopPhaseLogging(),client.onerror=
+runtimeErrorHandler}catch(error2){client.onerror=runtimeErrorHandler;const url2=serverConfig.useProxy??!1?buildProxiedUrl(serverConfig.url):new URL(serverConfig.url);throw onPhase?.(MCPConnectionPhase.ERROR,this.createLog(MCPConnectionPhase.ERROR,`Connection failed during initialize: ${error2 instanceof Error?error2.message:String(error2)}`,MCPLogLevel.ERROR,{error:this.summarizeError(error2),config:{serverName,configuredUrl:serverConfig.url,effectiveUrl:url2.href,transportType,useProxy:serverConfig.
+useProxy??!1,headers:sanitizeHeaders(serverConfig.headers,Object.keys(serverConfig.headers??{}),MCP_PARTIAL_REDACT_HEADERS),credentials:serverConfig.credentials},browser:this.getBrowserContext(url2,serverConfig.useProxy??!1),hints:this.getConnectionHints(url2,serverConfig,error2)})),error2}const serverVersion=client.getServerVersion(),serverCapabilities=client.getServerCapabilities(),instructions=client.getInstructions(),serverInfo=this.extractServerInfo(serverVersion);onPhase?.(MCPConnectionPhase.
+CAPABILITIES_EXCHANGED,this.createLog(MCPConnectionPhase.CAPABILITIES_EXCHANGED,"Capabilities exchanged successfully",MCPLogLevel.INFO,{serverCapabilities,serverInfo}),{serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities,instructions}),onPhase?.(MCPConnectionPhase.LISTING_TOOLS,this.createLog(MCPConnectionPhase.LISTING_TOOLS,"Listing available tools...")),console.log(`[MCPService][${serverName}] Connected, listing tools...`);const tools=await this.listTools({client,transport,tools:[],
+serverName,transportType,connectionTimeMs:0}),connectionTimeMs=Math.round(performance.now()-startTime);return onPhase?.(MCPConnectionPhase.CONNECTED,this.createLog(MCPConnectionPhase.CONNECTED,`Connection established with ${tools.length} tools (${connectionTimeMs}ms)`)),console.log(`[MCPService][${serverName}] Initialization complete with ${tools.length} tools in ${connectionTimeMs}ms`),{client,transport,tools,serverName,transportType,serverInfo,serverCapabilities,clientCapabilities:effectiveCapabilities,
+protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,instructions,connectionTimeMs}}static async disconnect(connection){console.log(`[MCPService][${connection.serverName}] Disconnecting...`);try{connection.transport.onclose&&(connection.transport.onclose=void 0),await connection.client.close()}catch(error2){console.warn(`[MCPService][${connection.serverName}] Error during disconnect:`,error2)}}static async listTools(connection){try{return(await connection.client.listTools()).tools??[]}catch(error2){
+if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list tools:`,error2),[]}}static async listPrompts(connection){try{return(await connection.client.listPrompts()).prompts??[]}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list prompts:`,error2),[]}}static async getPrompt(connection,name,args){try{return await connection.client.getPrompt({name,
+arguments:args})}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to get prompt:`,error2),error2}}static async callTool(connection,params,signal){throwIfAborted(signal);try{const result=await connection.client.callTool({name:params.name,arguments:params.arguments},void 0,{signal});return{content:this.formatToolResult(result),isError:result.isError??!1}}catch(error2){if(isAbortError(error2)||this.isSessionExpiredError(error2))throw error2;const message=error2 instanceof
+Error?error2.message:String(error2);throw new Error(`Tool "${params.name}" execution failed on server "${connection.serverName}": ${message}`,{cause:error2 instanceof Error?error2:void 0})}}static formatToolResult(result){const content2=result.content;return Array.isArray(content2)?content2.map(item=>this.formatSingleContent(item)).filter(Boolean).join(`
+`):""}static formatSingleContent(content2){if(content2.type===MCPContentType.TEXT&&content2.text)return content2.text;if(content2.type===MCPContentType.IMAGE&&content2.data)return createBase64DataUrl(content2.mimeType??DEFAULT_IMAGE_MIME_TYPE,content2.data);if(content2.type===MCPContentType.RESOURCE&&content2.resource){const resource=content2.resource;return resource.text?resource.text:resource.blob?resource.blob:JSON.stringify(resource)}return content2.data&&content2.mimeType?createBase64DataUrl(
+content2.mimeType,content2.data):JSON.stringify(content2)}static async complete(connection,ref2,argument){try{return(await connection.client.complete({ref:ref2,argument})).completion}catch(error2){return console.error("[MCPService] Failed to get completions:",error2),null}}static async listResources(connection,cursor){try{const result=await connection.client.listResources(cursor?{cursor}:void 0);return{resources:result.resources??[],nextCursor:result.nextCursor}}catch(error2){if(this.isSessionExpiredError(
+error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list resources:`,error2),{resources:[]}}}static async listAllResources(connection){const allResources=[];let cursor;do{const result=await this.listResources(connection,cursor);allResources.push(...result.resources),cursor=result.nextCursor}while(cursor);return allResources}static async listResourceTemplates(connection,cursor){try{const result=await connection.client.listResourceTemplates(cursor?{cursor}:void 0);
+return{resourceTemplates:result.resourceTemplates??[],nextCursor:result.nextCursor}}catch(error2){if(this.isSessionExpiredError(error2))throw error2;return console.warn(`[MCPService][${connection.serverName}] Failed to list resource templates:`,error2),{resourceTemplates:[]}}}static async listAllResourceTemplates(connection){const allTemplates=[];let cursor;do{const result=await this.listResourceTemplates(connection,cursor);allTemplates.push(...result.resourceTemplates),cursor=result.nextCursor}while(cursor);
+return allTemplates}static async readResource(connection,uri2){try{const result=await connection.client.readResource({uri:uri2});return{contents:result.contents??[],_meta:result._meta}}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to read resource:`,error2),error2}}static async subscribeResource(connection,uri2){try{await connection.client.subscribeResource({uri:uri2}),console.log(`[MCPService][${connection.serverName}] Subscribed to resource: ${uri2}`)}catch(error2){
+throw console.error(`[MCPService][${connection.serverName}] Failed to subscribe to resource:`,error2),error2}}static async unsubscribeResource(connection,uri2){try{await connection.client.unsubscribeResource({uri:uri2}),console.log(`[MCPService][${connection.serverName}] Unsubscribed from resource: ${uri2}`)}catch(error2){throw console.error(`[MCPService][${connection.serverName}] Failed to unsubscribe from resource:`,error2),error2}}static supportsResources(connection){return connection.serverCapabilities?.
+resources!==void 0}static supportsResourceSubscriptions(connection){return!!connection.serverCapabilities?.resources?.subscribe}}function generateAttachmentId(){return`${MCP_RESOURCE_ATTACHMENT_ID_PREFIX}-${Date.now()}-${Math.random().toString(36).substring(2,9)}`}class MCPResourceStore{#_serverResources=state$1(proxy(new SvelteMap));get _serverResources(){return get$3(this.#_serverResources)}set _serverResources(value){set$1(this.#_serverResources,value,!0)}#_cachedResources=state$1(proxy(new SvelteMap));get _cachedResources(){
+return get$3(this.#_cachedResources)}set _cachedResources(value){set$1(this.#_cachedResources,value,!0)}#_subscriptions=state$1(proxy(new SvelteMap));get _subscriptions(){return get$3(this.#_subscriptions)}set _subscriptions(value){set$1(this.#_subscriptions,value,!0)}#_attachments=state$1(proxy([]));get _attachments(){return get$3(this.#_attachments)}set _attachments(value){set$1(this.#_attachments,value,!0)}#_isLoading=state$1(!1);get _isLoading(){return get$3(this.#_isLoading)}set _isLoading(value){
+set$1(this.#_isLoading,value,!0)}get serverResources(){return this._serverResources}get cachedResources(){return this._cachedResources}get subscriptions(){return this._subscriptions}get attachments(){return this._attachments}get isLoading(){return this._isLoading}get totalResourceCount(){let count=0;for(const serverRes of this._serverResources.values())count+=serverRes.resources.length;return count}get totalTemplateCount(){let count=0;for(const serverRes of this._serverResources.values())count+=
+serverRes.templates.length;return count}get attachmentCount(){return this._attachments.length}get hasAttachments(){return this._attachments.length>0}setServerResources(serverName,resources,templates){this._serverResources.set(serverName,{serverName,resources,templates,lastFetched:new Date,loading:!1,error:void 0}),console.log(`[MCPResources][${serverName}] Set ${resources.length} resources, ${templates.length} templates`)}setServerLoading(serverName,loading){const existing=this._serverResources.
+get(serverName);existing?this._serverResources.set(serverName,{...existing,loading}):this._serverResources.set(serverName,{serverName,resources:[],templates:[],loading,error:void 0})}setServerError(serverName,error2){const existing=this._serverResources.get(serverName);existing?this._serverResources.set(serverName,{...existing,loading:!1,error:error2}):this._serverResources.set(serverName,{serverName,resources:[],templates:[],loading:!1,error:error2})}getServerResources(serverName){return this._serverResources.
+get(serverName)}getAllResourceInfos(){const result=[];for(const[serverName,serverRes]of this._serverResources)for(const resource of serverRes.resources)result.push({uri:resource.uri,name:resource.name,title:resource.title,description:resource.description,mimeType:resource.mimeType,serverName,annotations:resource.annotations,icons:resource.icons});return result}getAllTemplateInfos(){const result=[];for(const[serverName,serverRes]of this._serverResources)for(const template of serverRes.templates)result.
+push({uriTemplate:template.uriTemplate,name:template.name,title:template.title,description:template.description,mimeType:template.mimeType,serverName,annotations:template.annotations,icons:template.icons});return result}clearServerResources(serverName){this._serverResources.delete(serverName);for(const[uri2,cached2]of this._cachedResources)cached2.resource.serverName===serverName&&this._cachedResources.delete(uri2);for(const[uri2,sub2]of this._subscriptions)sub2.serverName===serverName&&this._subscriptions.
+delete(uri2);console.log(`[MCPResources][${serverName}] Cleared all resources`)}cacheResourceContent(resource,content2){if(this._cachedResources.size>=MCP_RESOURCE_CACHE_MAX_ENTRIES){const oldestKey=this._cachedResources.keys().next().value;oldestKey&&this._cachedResources.delete(oldestKey)}this._cachedResources.set(resource.uri,{resource,content:content2,fetchedAt:new Date,subscribed:this._subscriptions.has(resource.uri)}),console.log(`[MCPResources] Cached content for: ${resource.uri}`)}getCachedContent(uri2){
+const cached2=this._cachedResources.get(uri2);if(!cached2)return;if(Date.now()-cached2.fetchedAt.getTime()>MCP_RESOURCE_CACHE_TTL_MS&&!cached2.subscribed){this._cachedResources.delete(uri2);return}return cached2}invalidateCache(uri2){this._cachedResources.delete(uri2),console.log(`[MCPResources] Invalidated cache for: ${uri2}`)}clearCache(){this._cachedResources.clear(),console.log("[MCPResources] Cleared all cached content")}addSubscription(uri2,serverName){this._subscriptions.set(uri2,{uri:uri2,
+serverName,subscribedAt:new Date});const cached2=this._cachedResources.get(uri2);cached2&&this._cachedResources.set(uri2,{...cached2,subscribed:!0}),console.log(`[MCPResources] Added subscription: ${uri2}`)}removeSubscription(uri2){this._subscriptions.delete(uri2);const cached2=this._cachedResources.get(uri2);cached2&&this._cachedResources.set(uri2,{...cached2,subscribed:!1}),console.log(`[MCPResources] Removed subscription: ${uri2}`)}isSubscribed(uri2){return this._subscriptions.has(uri2)}handleResourceUpdate(uri2){
+this.invalidateCache(uri2);const sub2=this._subscriptions.get(uri2);sub2&&this._subscriptions.set(uri2,{...sub2,lastUpdate:new Date}),console.log(`[MCPResources] Resource updated: ${uri2}`)}handleResourcesListChanged(serverName){const existing=this._serverResources.get(serverName);existing&&this._serverResources.set(serverName,{...existing,lastFetched:void 0}),console.log(`[MCPResources][${serverName}] Resources list changed, needs refresh`)}addAttachment(resource){const attachment={id:generateAttachmentId(),
+resource,loading:!0};return this._attachments=[...this._attachments,attachment],console.log(`[MCPResources] Added attachment: ${resource.uri}`),attachment}updateAttachmentContent(attachmentId,content2){this._attachments=this._attachments.map(att=>att.id===attachmentId?{...att,content:content2,loading:!1,error:void 0}:att)}updateAttachmentError(attachmentId,error2){this._attachments=this._attachments.map(att=>att.id===attachmentId?{...att,loading:!1,error:error2}:att)}removeAttachment(attachmentId){
+this._attachments=this._attachments.filter(att=>att.id!==attachmentId),console.log(`[MCPResources] Removed attachment: ${attachmentId}`)}clearAttachments(){this._attachments=[],console.log("[MCPResources] Cleared all attachments")}getAttachment(attachmentId){return this._attachments.find(att=>att.id===attachmentId)}isAttached(uri2){const normalizedUri=normalizeResourceUri(uri2);return this._attachments.some(att=>att.resource.uri===uri2||normalizeResourceUri(att.resource.uri)===normalizedUri)}setLoading(loading){
+this._isLoading=loading}findResourceByUri(uri2){const normalizedUri=normalizeResourceUri(uri2);for(const[serverName,serverRes]of this._serverResources){const resource=serverRes.resources.find(r2=>r2.uri===uri2)??serverRes.resources.find(r2=>normalizeResourceUri(r2.uri)===normalizedUri);if(resource)return{uri:resource.uri,name:resource.name,title:resource.title,description:resource.description,mimeType:resource.mimeType,serverName,annotations:resource.annotations,icons:resource.icons}}}findServerForUri(uri2){
+for(const[serverName,serverRes]of this._serverResources)if(serverRes.resources.some(r2=>r2.uri===uri2))return serverName}clear(){this._serverResources.clear(),this._cachedResources.clear(),this._subscriptions.clear(),this._attachments=[],this._isLoading=!1,console.log("[MCPResources] Cleared all state")}formatAttachmentsForContext(){if(this._attachments.length===0)return"";const parts=[];for(const attachment of this._attachments){if(attachment.error||!attachment.content||attachment.content.length===
+0)continue;const resourceName=attachment.resource.title||attachment.resource.name,serverName=attachment.resource.serverName;for(const content2 of attachment.content)"text"in content2&&content2.text?parts.push(`
 
---- Resource: ${n} (from ${a}) ---
-${i.text}`):"blob"in i&&i.blob&&e.push(`
+--- Resource: ${resourceName} (from ${serverName}) ---
+${content2.text}`):"blob"in content2&&content2.blob&&parts.push(`
 
---- Resource: ${n} (from ${a}) ---
-[${gO}: ${i.mimeType||mO}]`)}return e.join("")}toMessageExtras(){const e=[];for(const t of this._attachments){if(t.error||!t.content||t.content.length===0)continue;const n=t.resource.title||t.resource.name,a=[];for(const i of t.content)"text"in i&&i.text?a.push(i.text):"blob"in i&&i.blob&&a.push(`[${gO}: ${i.mimeType||mO}]`);a.length>0&&e.push({type:Kr.MCP_RESOURCE,name:n,uri:t.resource.uri,serverName:t.resource.serverName,content:a.join(ob),mimeType:t.resource.mimeType})}return e}}const _n=new Q_e,ez=()=>_n.serverResources,Z_e=()=>_n.attachments,tz=()=>_n.hasAttachments,J_e=()=>_n.totalResourceCount,ebe=()=>_n.isLoading,rz=typeof window<"u"?window:void 0;function tbe(r){let e=r.activeElement;for(;e?.shadowRoot;){const t=e.shadowRoot.activeElement;if(t===e)break;e=t}return e}let rbe=class{#e;#t;constructor(e={}){const{window:t=rz,document:n=t?.document}=e;t!==void 0&&(this.#e=n,this.#t=Yu(a=>{const i=jr(t,"focusin",a),s=jr(t,"focusout",a);return()=>{i(),s()}}))}get current(){return this.#t?.(),this.#e?tbe(this.#e):null}};new rbe;function nbe(r,e){switch(r){case"post":Nt(e);break;case"pre":Gi(e);break}}function nz(r,e,t,n={}){const{lazy:a=!1}=n;let i=!a,s=Array.isArray(r)?[]:void 0;nbe(e,()=>{const o=Array.isArray(r)?r.map(c=>c()):r();if(!i){i=!0,s=o;return}const l=Rn(()=>t(o,s));return s=o,l})}function ux(r,e,t){nz(r,"post",e,t)}function abe(r,e,t){nz(r,"pre",e,t)}ux.pre=abe;function ibe(r,e){switch(r){case"local":return e.localStorage;case"session":return e.sessionStorage}}class az{#e;#t;#r;#n;#i;#a=_e(0);constructor(e,t,n={}){const{storage:a="local",serializer:i={serialize:JSON.stringify,deserialize:JSON.parse},syncTabs:s=!0,window:o=rz}=n;if(this.#e=t,this.#t=e,this.#r=i,o===void 0)return;const l=ibe(a,o);this.#n=l;const c=l.getItem(e);c!==null?this.#e=this.#o(c):this.#l(t),s&&a==="local"&&(this.#i=Yu(()=>jr(o,"storage",this.#s)))}get current(){this.#i?.(),f(this.#a);const e=this.#o(this.#n?.getItem(this.#t))??this.#e,t=new WeakMap,n=a=>{if(a===null||a?.constructor.name==="Date"||typeof a!="object")return a;let i=t.get(a);return i||(i=new Proxy(a,{get:(s,o)=>(f(this.#a),n(Reflect.get(s,o))),set:(s,o,l)=>(M(this.#a,f(this.#a)+1),Reflect.set(s,o,l),this.#l(e),!0)}),t.set(a,i)),i};return n(e)}set current(e){this.#l(e),M(this.#a,f(this.#a)+1)}#s=e=>{e.key!==this.#t||e.newValue===null||(this.#e=this.#o(e.newValue),M(this.#a,f(this.#a)+1))};#o(e){try{return this.#r.deserialize(e)}catch(t){console.error(`Error when parsing "${e}" from persisted store "${this.#t}"`,t);return}}#l(e){try{e!=null&&this.#n?.setItem(this.#t,this.#r.serialize(e))}catch(t){console.error(`Error when writing value from persisted store "${this.#t}" to ${this.#n}`,t)}}}function pD(r){return r.filter(e=>e.length>0)}const iz={getItem:r=>null,setItem:(r,e)=>{}},yg=typeof document<"u";function sbe(r){return typeof r=="function"}function obe(r){return r!==null&&typeof r=="object"}const Mm=Symbol("box"),dx=Symbol("is-writable");function lbe(r){return obe(r)&&Mm in r}function cbe(r){return Qa.isBox(r)&&dx in r}function Qa(r){let e=_e(Sr(r));return{[Mm]:!0,[dx]:!0,get current(){return f(e)},set current(t){M(e,t,!0)}}}function ube(r,e){const t=F(r);return e?{[Mm]:!0,[dx]:!0,get current(){return f(t)},set current(n){e(n)}}:{[Mm]:!0,get current(){return r()}}}function dbe(r){return Qa.isBox(r)?r:sbe(r)?Qa.with(r):Qa(r)}function hbe(r){return Object.entries(r).reduce((e,[t,n])=>Qa.isBox(n)?(Qa.isWritableBox(n)?Object.defineProperty(e,t,{get(){return n.current},set(a){n.current=a}}):Object.defineProperty(e,t,{get(){return n.current}}),e):Object.assign(e,{[t]:n}),{})}function fbe(r){return Qa.isWritableBox(r)?{[Mm]:!0,get current(){return r.current}}:r}Qa.from=dbe;Qa.with=ube;Qa.flatten=hbe;Qa.readonly=fbe;Qa.isBox=lbe;Qa.isWritableBox=cbe;function pbe(r,e){const t=RegExp(r,"g");return n=>{if(typeof n!="string")throw new TypeError(`expected an argument of type string, but got ${typeof n}`);return n.match(t)?n.replace(t,e):n}}const mbe=pbe(/[A-Z]/,r=>`-${r.toLowerCase()}`);function gbe(r){if(!r||typeof r!="object"||Array.isArray(r))throw new TypeError(`expected an argument of type object, but got ${typeof r}`);return Object.keys(r).map(e=>`${mbe(e)}: ${r[e]};`).join(`
-`)}function _be(r={}){return gbe(r).replace(`
-`," ")}const bbe={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};_be(bbe);const vbe=typeof window<"u"?window:void 0;function ybe(r){let e=r.activeElement;for(;e?.shadowRoot;){const t=e.shadowRoot.activeElement;if(t===e)break;e=t}return e}class Sbe{#e;#t;constructor(e={}){const{window:t=vbe,document:n=t?.document}=e;t!==void 0&&(this.#e=n,this.#t=Yu(a=>{const i=jr(t,"focusin",a),s=jr(t,"focusout",a);return()=>{i(),s()}}))}get current(){return this.#t?.(),this.#e?ybe(this.#e):null}}new Sbe;const Ud=Qa("mode-watcher-mode"),$d=Qa("mode-watcher-theme"),Ebe=["dark","light","system"];function H3(r){return typeof r!="string"?!1:Ebe.includes(r)}class wbe{#e="system";#t=yg?localStorage:iz;#r=this.#t.getItem(Ud.current);#n=H3(this.#r)?this.#r:this.#e;#i=_e(Sr(this.#a()));#a(e=this.#n){return new az(Ud.current,e,{serializer:{serialize:t=>t,deserialize:t=>H3(t)?t:this.#e}})}constructor(){jm(()=>ux.pre(()=>Ud.current,(e,t)=>{const n=f(this.#i).current;M(this.#i,this.#a(n),!0),t&&localStorage.removeItem(t)}))}get current(){return f(this.#i).current}set current(e){f(this.#i).current=e}}class Tbe{#e=void 0;#t=!0;#r=_e(Sr(this.#e));#n=typeof window<"u"&&typeof window.matchMedia=="function"?new kB("prefers-color-scheme: light"):{current:!1};query(){yg&&M(this.#r,this.#n.current?"light":"dark",!0)}tracking(e){this.#t=e}constructor(){jm(()=>{Gi(()=>{this.#t&&this.query()})}),this.query=this.query.bind(this),this.tracking=this.tracking.bind(this)}get current(){return f(this.#r)}}const V3=new wbe,Y3=new Tbe;class Cbe{#e=yg?localStorage:iz;#t=this.#e.getItem($d.current);#r=this.#t===null||this.#t===void 0?"":this.#t;#n=_e(Sr(this.#i()));#i(e=this.#r){return new az($d.current,e,{serializer:{serialize:t=>typeof t!="string"?"":t,deserialize:t=>t}})}constructor(){jm(()=>ux.pre(()=>$d.current,(e,t)=>{const n=f(this.#n).current;M(this.#n,this.#i(n),!0),t&&localStorage.removeItem(t)}))}get current(){return f(this.#n).current}set current(e){f(this.#n).current=e}}const C_=new Cbe;let mD,gD,_D=!1,Ip=null;function Abe(){return Ip||(Ip=document.createElement("style"),Ip.appendChild(document.createTextNode(`* {
+--- Resource: ${resourceName} (from ${serverName}) ---
+[${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`)}return parts.join("")}toMessageExtras(){const extras=[];for(const attachment of this._attachments){if(attachment.error||!attachment.content||attachment.content.length===0)continue;const resourceName=attachment.resource.title||attachment.resource.name,contentParts=[];for(const content2 of attachment.content)"text"in content2&&content2.text?contentParts.push(content2.text):"blob"in content2&&content2.blob&&contentParts.push(`\
+[${BINARY_CONTENT_LABEL}: ${content2.mimeType||RESOURCE_UNKNOWN_TYPE}]`);contentParts.length>0&&extras.push({type:AttachmentType.MCP_RESOURCE,name:resourceName,uri:attachment.resource.uri,serverName:attachment.resource.serverName,content:contentParts.join(NEWLINE_SEPARATOR),mimeType:attachment.resource.mimeType})}return extras}}const mcpResourceStore=new MCPResourceStore,mcpResources=()=>mcpResourceStore.serverResources,mcpResourceAttachments=()=>mcpResourceStore.attachments,mcpHasResourceAttachments=()=>mcpResourceStore.
+hasAttachments,mcpTotalResourceCount=()=>mcpResourceStore.totalResourceCount,mcpResourcesLoading=()=>mcpResourceStore.isLoading,defaultWindow$1=typeof window<"u"?window:void 0;function getActiveElement$1(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}return activeElement}let ActiveElement$1=class{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow$1,
+document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement$1(this.#document):null}};new ActiveElement$1;function runEffect(flush,effect2){switch(flush){case"post":user_effect(effect2);break;case"pre":user_pre_effect(
+effect2);break}}function runWatcher(sources,flush,effect2,options={}){const{lazy=!1}=options;let active=!lazy,previousValues=Array.isArray(sources)?[]:void 0;runEffect(flush,()=>{const values=Array.isArray(sources)?sources.map(source2=>source2()):sources();if(!active){active=!0,previousValues=values;return}const cleanup=untrack$1(()=>effect2(values,previousValues));return previousValues=values,cleanup})}function watch(sources,effect2,options){runWatcher(sources,"post",effect2,options)}function watchPre(sources,effect2,options){
+runWatcher(sources,"pre",effect2,options)}watch.pre=watchPre;function getStorage(storageType,window2){switch(storageType){case"local":return window2.localStorage;case"session":return window2.sessionStorage}}class PersistedState{#current;#key;#serializer;#storage;#subscribe;#version=state$1(0);constructor(key2,initialValue,options={}){const{storage:storageType="local",serializer:serializer2={serialize:JSON.stringify,deserialize:JSON.parse},syncTabs=!0,window:window2=defaultWindow$1}=options;if(this.#current=
+initialValue,this.#key=key2,this.#serializer=serializer2,window2===void 0)return;const storage=getStorage(storageType,window2);this.#storage=storage;const existingValue=storage.getItem(key2);existingValue!==null?this.#current=this.#deserialize(existingValue):this.#serialize(initialValue),syncTabs&&storageType==="local"&&(this.#subscribe=createSubscriber(()=>on(window2,"storage",this.#handleStorageEvent)))}get current(){this.#subscribe?.(),get$3(this.#version);const root2=this.#deserialize(this.#storage?.
+getItem(this.#key))??this.#current,proxies=new WeakMap,proxy2=value=>{if(value===null||value?.constructor.name==="Date"||typeof value!="object")return value;let p2=proxies.get(value);return p2||(p2=new Proxy(value,{get:(target2,property)=>(get$3(this.#version),proxy2(Reflect.get(target2,property))),set:(target2,property,value2)=>(set$1(this.#version,get$3(this.#version)+1),Reflect.set(target2,property,value2),this.#serialize(root2),!0)}),proxies.set(value,p2)),p2};return proxy2(root2)}set current(newValue){
+this.#serialize(newValue),set$1(this.#version,get$3(this.#version)+1)}#handleStorageEvent=event2=>{event2.key!==this.#key||event2.newValue===null||(this.#current=this.#deserialize(event2.newValue),set$1(this.#version,get$3(this.#version)+1))};#deserialize(value){try{return this.#serializer.deserialize(value)}catch(error2){console.error(`Error when parsing "${value}" from persisted store "${this.#key}"`,error2);return}}#serialize(value){try{value!=null&&this.#storage?.setItem(this.#key,this.#serializer.
+serialize(value))}catch(error2){console.error(`Error when writing value from persisted store "${this.#key}" to ${this.#storage}`,error2)}}}function sanitizeClassNames(classNames){return classNames.filter(className=>className.length>0)}const noopStorage={getItem:_key=>null,setItem:(_key,_value)=>{}},isBrowser=typeof document<"u";function isFunction(value){return typeof value=="function"}function isObject(value){return value!==null&&typeof value=="object"}const BoxSymbol=Symbol("box"),isWritableSymbol=Symbol(
+"is-writable");function isBox(value){return isObject(value)&&BoxSymbol in value}function isWritableBox(value){return box.isBox(value)&&isWritableSymbol in value}function box(initialValue){let current2=state$1(proxy(initialValue));return{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(current2)},set current(v){set$1(current2,v,!0)}}}function boxWith(getter,setter){const derived2=user_derived(getter);return setter?{[BoxSymbol]:!0,[isWritableSymbol]:!0,get current(){return get$3(derived2)},
+set current(v){setter(v)}}:{[BoxSymbol]:!0,get current(){return getter()}}}function boxFrom(value){return box.isBox(value)?value:isFunction(value)?box.with(value):box(value)}function boxFlatten(boxes){return Object.entries(boxes).reduce((acc,[key2,b])=>box.isBox(b)?(box.isWritableBox(b)?Object.defineProperty(acc,key2,{get(){return b.current},set(v){b.current=v}}):Object.defineProperty(acc,key2,{get(){return b.current}}),acc):Object.assign(acc,{[key2]:b}),{})}function toReadonlyBox(b){return box.
+isWritableBox(b)?{[BoxSymbol]:!0,get current(){return b.current}}:b}box.from=boxFrom;box.with=boxWith;box.flatten=boxFlatten;box.readonly=toReadonlyBox;box.isBox=isBox;box.isWritableBox=isWritableBox;function createParser(matcher,replacer){const regex=RegExp(matcher,"g");return str=>{if(typeof str!="string")throw new TypeError(`expected an argument of type string, but got ${typeof str}`);return str.match(regex)?str.replace(regex,replacer):str}}const camelToKebab=createParser(/[A-Z]/,match=>`-${match.
+toLowerCase()}`);function styleToCSS(styleObj){if(!styleObj||typeof styleObj!="object"||Array.isArray(styleObj))throw new TypeError(`expected an argument of type object, but got ${typeof styleObj}`);return Object.keys(styleObj).map(property=>`${camelToKebab(property)}: ${styleObj[property]};`).join(`
+`)}function styleToString(style2={}){return styleToCSS(style2).replace(`
+`," ")}const srOnlyStyles={position:"absolute",width:"1px",height:"1px",padding:"0",margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",whiteSpace:"nowrap",borderWidth:"0",transform:"translateX(-100%)"};styleToString(srOnlyStyles);const defaultWindow=typeof window<"u"?window:void 0;function getActiveElement(document2){let activeElement=document2.activeElement;for(;activeElement?.shadowRoot;){const node2=activeElement.shadowRoot.activeElement;if(node2===activeElement)break;activeElement=node2}
+return activeElement}class ActiveElement4{#document;#subscribe;constructor(options={}){const{window:window2=defaultWindow,document:document2=window2?.document}=options;window2!==void 0&&(this.#document=document2,this.#subscribe=createSubscriber(update2=>{const cleanupFocusIn=on(window2,"focusin",update2),cleanupFocusOut=on(window2,"focusout",update2);return()=>{cleanupFocusIn(),cleanupFocusOut()}}))}get current(){return this.#subscribe?.(),this.#document?getActiveElement(this.#document):null}}new ActiveElement4;
+const modeStorageKey=box("mode-watcher-mode"),themeStorageKey=box("mode-watcher-theme"),modes=["dark","light","system"];function isValidMode(value){return typeof value!="string"?!1:modes.includes(value)}class UserPrefersMode{#defaultValue="system";#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(modeStorageKey.current);#value=isValidMode(this.#initialValue)?this.#initialValue:this.#defaultValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){
+return new PersistedState(modeStorageKey.current,value,{serializer:{serialize:v=>v,deserialize:v=>isValidMode(v)?v:this.#defaultValue}})}constructor(){effect_root(()=>watch.pre(()=>modeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current=
+newValue}}class SystemPrefersMode{#defaultValue=void 0;#track=!0;#current=state$1(proxy(this.#defaultValue));#mediaQueryState=typeof window<"u"&&typeof window.matchMedia=="function"?new MediaQuery("prefers-color-scheme: light"):{current:!1};query(){isBrowser&&set$1(this.#current,this.#mediaQueryState.current?"light":"dark",!0)}tracking(active){this.#track=active}constructor(){effect_root(()=>{user_pre_effect(()=>{this.#track&&this.query()})}),this.query=this.query.bind(this),this.tracking=this.tracking.
+bind(this)}get current(){return get$3(this.#current)}}const userPrefersMode=new UserPrefersMode,systemPrefersMode=new SystemPrefersMode;class CustomTheme{#storage=isBrowser?localStorage:noopStorage;#initialValue=this.#storage.getItem(themeStorageKey.current);#value=this.#initialValue===null||this.#initialValue===void 0?"":this.#initialValue;#persisted=state$1(proxy(this.#makePersisted()));#makePersisted(value=this.#value){return new PersistedState(themeStorageKey.current,value,{serializer:{serialize:v=>typeof v!=
+"string"?"":v,deserialize:v=>v}})}constructor(){effect_root(()=>watch.pre(()=>themeStorageKey.current,(_,prevStorageKey)=>{const currModeValue=get$3(this.#persisted).current;set$1(this.#persisted,this.#makePersisted(currModeValue),!0),prevStorageKey&&localStorage.removeItem(prevStorageKey)}))}get current(){return get$3(this.#persisted).current}set current(newValue){get$3(this.#persisted).current=newValue}}const customTheme=new CustomTheme;let timeoutAction,timeoutEnable,hasLoaded=!1,styleElement=null;
+function getStyleElement(){return styleElement||(styleElement=document.createElement("style"),styleElement.appendChild(document.createTextNode(`* {
 		-webkit-transition: none !important;
 		-moz-transition: none !important;
 		-o-transition: none !important;
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i=document.documentElement,s=document.querySelector('meta[name="theme-color"]');e==="light"?(t.length&&i.classList.remove(...t),n.length&&i.classList.add(...n),i.style.colorScheme="light",s&&Eu.current&&s.setAttribute("content",Eu.current.light)):(n.length&&i.classList.remove(...n),t.length&&i.classList.add(...t),i.style.colorScheme="dark",s&&Eu.current&&s.setAttribute("content",Eu.current.dark))}return Nb.current?sz(a,Ib.current):a(),e});return{get current(){return f(r)}}}function Rbe(){const r=F(()=>{if(C_.current,!yg)return;function e(){document.documentElement.setAttribute("data-theme",C_.current)}return Nb.current?sz(e,Rn(()=>Ib.current)):e(),C_.current});return{get current(){return f(r)}}}const sy=xbe(),Obe=Rbe();function K3(r){V3.current=r}function Nbe(r){C_.current=r}function Ibe({defaultMode:r="system",themeColors:e,darkClassNames:t=["dark"],lightClassNames:n=[],defaultTheme:a="",modeStorageKey:i="mode-watcher-mode",themeStorageKey:s="mode-watcher-theme"}){const 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c=Dbe();Ce(()=>er(c,"content",e.themeColors.dark)),T(l,c)};le(i,l=>{e.themeColors&&l(s)})}var o=ee(i,2);nf(o,()=>`<script${t()?` nonce=${t()}`:""}>(`+Ibe.toString()+")("+JSON.stringify(e.initConfig)+");<\/script>"),T(n,a)}),we()}function Fbe(r,e){Ee(e,!0);let t=Y(e,"track",3,!0),n=Y(e,"defaultMode",3,"system"),a=Y(e,"disableTransitions",3,!0),i=Y(e,"darkClassNames",19,()=>["dark"]),s=Y(e,"lightClassNames",19,()=>[]),o=Y(e,"defaultTheme",3,""),l=Y(e,"nonce",3,""),c=Y(e,"themeStorageKey",3,"mode-watcher-theme"),u=Y(e,"modeStorageKey",3,"mode-watcher-mode"),d=Y(e,"disableHeadScriptInjection",3,!1),h=Y(e,"synchronousModeChanges",3,!1);Ud.current=u(),$d.current=c(),W3.current=i(),j3.current=s(),Nb.current=a(),Eu.current=e.themeColors,Ib.current=h(),Gi(()=>{Ib.current=h()}),Gi(()=>{Nb.current=a()}),Gi(()=>{Eu.current=e.themeColors}),Gi(()=>{W3.current=i()}),Gi(()=>{j3.current=s()}),Gi(()=>{Ud.current=u()}),Gi(()=>{$d.current=c()}),Gi(()=>{sy.current,Ud.current,$d.current,Obe.current}),bi(()=>{Y3.tracking(t()),Y3.query();const y=localStorage.getItem(Ud.current);K3(H3(y)?y:n());const E=localStorage.getItem($d.current);Nbe(E||o())});const p={defaultMode:n(),themeColors:e.themeColors,darkClassNames:i(),lightClassNames:s(),defaultTheme:o(),modeStorageKey:u(),themeStorageKey:c()},m=F(()=>typeof window>"u"?l():"");var g=se(),b=L(g);{var _=y=>{Mbe(y,{get themeColors(){return Eu.current}})},v=y=>{Lbe(y,{get trueNonce(){return f(m)},get initConfig(){return p},get themeColors(){return Eu.current}})};le(b,y=>{d()?y(_):y(v,!1)})}T(r,g),we()}class Bbe{#e=_e(!1);get _isInitializing(){return f(this.#e)}set _isInitializing(e){M(this.#e,e,!0)}#t=_e(null);get _error(){return f(this.#t)}set _error(e){M(this.#t,e,!0)}#r=_e(0);get _toolCount(){return f(this.#r)}set _toolCount(e){M(this.#r,e,!0)}#n=_e(Sr([]));get _connectedServers(){return f(this.#n)}set _connectedServers(e){M(this.#n,e,!0)}#i=_e(Sr({}));get _healthChecks(){return f(this.#i)}set _healthChecks(e){M(this.#i,e,!0)}#a=_e(!1);get _proxyAvailable(){return f(this.#a)}set _proxyAvailable(e){M(this.#a,e,!0)}connections=new Map;toolsIndex=new Map;serverConfigs=new Map;reconnectingServers=new Set;configSignature=null;initPromise=null;activeFlowCount=0;constructor(){this.probeProxy()}async probeProxy(){try{const e=await fetch(`${Ga}${zU}`,{method:"HEAD"});this._proxyAvailable=e.status!==404}catch{this._proxyAvailable=!1}}get isProxyAvailable(){return this._proxyAvailable}#s(e,t){return typeof e=="string"&&e.trim()?e.trim():`${T4}-${t+1}`}#o(e){if(!e)return[];let t;if(typeof e=="string"){const n=e.trim();if(!n)return[];try{t=JSON.parse(n)}catch(a){return console.warn("[MCP] Failed to parse mcpServers JSON:",a),[]}}else t=e;return Array.isArray(t)?t.map((n,a)=>{const i=typeof n?.url=="string"?n.url.trim():"",s=typeof n?.headers=="string"?n.headers.trim():void 0;return{id:this.#s(n?.id,a),enabled:!!n?.enabled,url:i,name:n?.name,requestTimeoutSeconds:Va.requestTimeoutSeconds,headers:s||void 0,useProxy:!!n?.useProxy}}):[]}#l(e,t=Va.connectionTimeoutMs){if(!e?.url)return;let n;if(e.headers)try{const a=JSON.parse(e.headers);typeof a=="object"&&a!==null&&!Array.isArray(a)&&(n=a)}catch{console.warn("[MCP] Failed to parse custom headers JSON:",e.headers)}return{url:e.url,transport:o8(e.url),handshakeTimeoutMs:t,requestTimeoutMs:Math.round(e.requestTimeoutSeconds*1e3),headers:n,useProxy:e.useProxy}}#c(e,t){return t?.find(a=>a.serverId===e.id)?.enabled??!1}#d(e,t){const n=this.#o(e.mcpServers);if(!n.length)return;const a={};for(const[i,s]of n.entries()){if(!this.#c(s,t))continue;const o=this.#l(s);o&&(a[this.#s(s.id,i)]=o)}if(Object.keys(a).length!==0)return{protocolVersion:Va.protocolVersion,capabilities:Va.capabilities,clientInfo:Va.clientInfo,requestTimeoutMs:Math.round(Va.requestTimeoutSeconds*1e3),servers:a}}#u(e,t){return{server:{tools:e?.tools?{listChanged:e.tools.listChanged}:void 0,prompts:e?.prompts?{listChanged:e.prompts.listChanged}:void 0,resources:e?.resources?{subscribe:e.resources.subscribe,listChanged:e.resources.listChanged}:void 0,logging:!!e?.logging,completions:!!e?.completions,tasks:!!e?.tasks},client:{roots:t?.roots?{listChanged:t.roots.listChanged}:void 0,sampling:!!t?.sampling,elicitation:t?.elicitation?{form:!!t.elicitation.form,url:!!t.elicitation.url}:void 0,tasks:!!t?.tasks}}}get isInitializing(){return this._isInitializing}get isInitialized(){return this.connections.size>0}get error(){return this._error}get toolCount(){return this._toolCount}get connectedServerCount(){return this._connectedServers.length}get connectedServerNames(){return this._connectedServers}get isEnabled(){const e=this.#d(An());return e!=null&&Object.keys(e.servers).length>0}get availableTools(){return Array.from(this.toolsIndex.keys())}updateState(e){e.isInitializing!==void 0&&(this._isInitializing=e.isInitializing),e.error!==void 0&&(this._error=e.error),e.toolCount!==void 0&&(this._toolCount=e.toolCount),e.connectedServers!==void 0&&(this._connectedServers=e.connectedServers)}updateHealthCheck(e,t){this._healthChecks={...this._healthChecks,[e]:t}}getHealthCheckState(e){return this._healthChecks[e]??{status:kn.IDLE}}hasHealthCheck(e){return e in this._healthChecks&&this._healthChecks[e].status!==kn.IDLE}clearHealthCheck(e){const{[e]:t,...n}=this._healthChecks;this._healthChecks=n}clearAllHealthChecks(){this._healthChecks={}}clearError(){this._error=null}getServers(){return l8(An().mcpServers)}getConnections(){return this.connections}getServerLabel(e){const t=this.getHealthCheckState(e.id);return t?.status===kn.SUCCESS&&(t.serverInfo?.title||t.serverInfo?.name||e.name)||e.url}getServerById(e){return this.getServers().find(t=>t.id===e)}getServerDisplayName(e){const t=this.getServerById(e);return t?this.getServerLabel(t):e}#p(e){try{return e.startsWith(lo.DATA)?!0:new URL(e).protocol===lo.HTTPS}catch{return!1}}#m(e,t=!1){if(!e?.length)return null;const n=e.filter(o=>!(!o.src||!this.#p(o.src)||o.mimeType&&!Nne.has(o.mimeType)));if(n.length===0)return null;const a=t?Pl.DARK:Pl.LIGHT,i=n.find(o=>o.theme===a);if(i)return this.#f(i.src);const s=n.filter(o=>!o.theme);return s.length===Pne?this.#f(s[t?1:0].src):s.length>0?this.#f(s[0].src):this.#f(n[0].src)}#f(e){return e.startsWith("data:")||!this._proxyAvailable?e:d$(e)}getServerFavicon(e){const t=this.getServerById(e);if(!t)return null;const n=sy.current===Pl.DARK,a=this.getHealthCheckState(e);if(a.status===kn.SUCCESS&&a.serverInfo?.icons){const i=this.#m(a.serverInfo.icons,n);if(i)return i}return $ce(t.url,this._proxyAvailable)}isAnyServerLoading(){return this.getServers().some(e=>{const t=this.getHealthCheckState(e.id);return t.status===kn.IDLE||t.status===kn.CONNECTING})}getServersSorted(){const e=this.getServers();return this.isAnyServerLoading()?e:[...e].sort((t,n)=>this.getServerLabel(t).localeCompare(this.getServerLabel(n)))}addServer(e){const t=this.getServers(),n={id:e.id||(Cl()??`server-${Date.now()}`),enabled:e.enabled,url:e.url.trim(),name:e.name,headers:e.headers?.trim()||void 0,requestTimeoutSeconds:Va.requestTimeoutSeconds,useProxy:e.useProxy};io.updateConfig("mcpServers",JSON.stringify([...t,n]))}updateServer(e,t){const n=this.getServers();io.updateConfig("mcpServers",JSON.stringify(n.map(a=>a.id===e?{...a,...t}:a)))}removeServer(e){const t=this.getServers();io.updateConfig("mcpServers",JSON.stringify(t.filter(n=>n.id!==e))),this.clearHealthCheck(e)}hasAvailableServers(){return l8(An().mcpServers).some(e=>e.enabled&&e.url.trim())}hasEnabledServers(e){return!!this.#d(An(),e)}getEnabledServersForConversation(e){return this.getServers().filter(t=>this.#c(t,e))}async ensureInitialized(e){const t=this.#d(An(),e),n=t?JSON.stringify(t):null;return n?this.isInitialized&&this.configSignature===n?!0:this.initPromise&&this.configSignature===n?this.initPromise:((this.connections.size>0||this.initPromise)&&await this.shutdown(),this.initialize(n,t)):(await this.shutdown(),!1)}async initialize(e,t){this.updateState({isInitializing:!0,error:null}),this.configSignature=e;const n=Object.entries(t.servers);return n.length===0?(this.updateState({isInitializing:!1,toolCount:0,connectedServers:[]}),!1):(this.initPromise=this.doInitialize(e,t,n),this.initPromise)}async doInitialize(e,t,n){const a=t.clientInfo??Va.clientInfo,i=t.capabilities??Va.capabilities,s=await Promise.allSettled(n.map(async([l,c])=>{this.serverConfigs.set(l,c);const u=this.createListChangedHandlers(l),d=await Vn.connect(l,c,a,i,h=>{h===Na.DISCONNECTED&&(console.log(`[MCPStore][${l}] Connection lost, starting auto-reconnect`),this.autoReconnect(l))},u);return{name:l,connection:d}}));if(this.configSignature!==e){for(const l of s)l.status==="fulfilled"&&await Vn.disconnect(l.value.connection).catch(console.warn);return!1}for(const l of s)if(l.status==="fulfilled"){const{name:c,connection:u}=l.value;this.connections.set(c,u);for(const d of u.tools)this.toolsIndex.has(d.name)&&console.warn(`[MCPStore] Tool name conflict: "${d.name}" exists in "${this.toolsIndex.get(d.name)}" and "${c}". Using tool from "${c}".`),this.toolsIndex.set(d.name,c)}else console.error("[MCPStore] Failed to connect:",l.reason);return this.connections.size===0&&n.length>0?(this.updateState({isInitializing:!1,error:"All MCP server connections failed",toolCount:0,connectedServers:[]}),this.initPromise=null,!1):(this.updateState({isInitializing:!1,error:null,toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())}),this.initPromise=null,!0)}createListChangedHandlers(e){return{tools:{onChanged:(t,n)=>{if(t){console.warn(`[MCPStore][${e}] Tools list changed error:`,t);return}this.handleToolsListChanged(e,n??[])}},prompts:{onChanged:t=>{if(t){console.warn(`[MCPStore][${e}] Prompts list changed error:`,t);return}}}}}handleToolsListChanged(e,t){const n=this.connections.get(e);if(n){for(const[a,i]of this.toolsIndex.entries())i===e&&this.toolsIndex.delete(a);n.tools=t;for(const a of t)this.toolsIndex.has(a.name)&&console.warn(`[MCPStore] Tool name conflict after list change: "${a.name}" exists in "${this.toolsIndex.get(a.name)}" and "${e}". Using tool from "${e}".`),this.toolsIndex.set(a.name,e);this.updateState({toolCount:this.toolsIndex.size})}}acquireConnection(){this.activeFlowCount++}async releaseConnection(e=!1){this.activeFlowCount=Math.max(0,this.activeFlowCount-1),e&&this.activeFlowCount===0&&await this.shutdown()}getActiveFlowCount(){return this.activeFlowCount}async shutdown(){this.initPromise&&(await this.initPromise.catch(()=>{}),this.initPromise=null),this.connections.size!==0&&(await Promise.all(Array.from(this.connections.values()).map(e=>Vn.disconnect(e).catch(t=>console.warn(`[MCPStore] Error disconnecting ${e.serverName}:`,t)))),this.connections.clear(),this.toolsIndex.clear(),this.serverConfigs.clear(),this.configSignature=null,this.updateState({isInitializing:!1,error:null,toolCount:0,connectedServers:[]}))}async reconnectServer(e){const t=this.serverConfigs.get(e);if(!t)throw new Error(`[MCPStore] No config found for ${e}, cannot reconnect`);const n=this.connections.get(e);n&&(await Vn.disconnect(n).catch(console.warn),this.connections.delete(e)),console.log(`[MCPStore][${e}] Session expired, reconnecting with fresh session...`);const a=this.createListChangedHandlers(e),i=await Vn.connect(e,t,Va.clientInfo,Va.capabilities,s=>{s===Na.DISCONNECTED&&(console.log(`[MCPStore][${e}] Connection lost, starting auto-reconnect`),this.autoReconnect(e))},a);this.connections.set(e,i);for(const s of i.tools)this.toolsIndex.set(s.name,e);console.log(`[MCPStore][${e}] Session recovered successfully`)}async autoReconnect(e){if(this.reconnectingServers.has(e)){console.log(`[MCPStore][${e}] Reconnection already in progress, skipping`);return}const t=this.serverConfigs.get(e);if(!t){console.error(`[MCPStore] No config found for ${e}, cannot reconnect`);return}this.reconnectingServers.add(e);let n=kne,a=!1;try{for(;;){await new Promise(i=>setTimeout(i,n)),console.log(`[MCPStore][${e}] Auto-reconnecting...`);try{const i=new Promise((c,u)=>setTimeout(()=>u(new Error(`Reconnect attempt timed out after ${fO}ms`)),fO));a=!1;const s=this.createListChangedHandlers(e),o=Vn.connect(e,t,Va.clientInfo,Va.capabilities,c=>{c===Na.DISCONNECTED&&(this.reconnectingServers.has(e)?a=!0:(console.log(`[MCPStore][${e}] Connection lost, restarting auto-reconnect`),this.autoReconnect(e)))},s),l=await Promise.race([o,i]);this.connections.set(e,l);for(const c of l.tools)this.toolsIndex.set(c.name,e);console.log(`[MCPStore][${e}] Reconnected successfully`);break}catch(i){console.warn(`[MCPStore][${e}] Reconnection failed:`,i),n=Math.min(n*Mne,Dne)}}}finally{this.reconnectingServers.delete(e),a&&(console.log(`[MCPStore][${e}] Deferred disconnect detected, restarting auto-reconnect`),this.autoReconnect(e))}}getToolDefinitionsForLLM(){const e=[];for(const t of this.connections.values())for(const n of t.tools){const a=n.inputSchema??{type:GU.OBJECT,properties:{},required:[]};e.push({type:Uv.FUNCTION,function:{name:n.name,description:n.description,parameters:this.normalizeSchemaProperties(a)}})}return e}normalizeSchemaProperties(e){if(!e||typeof e!="object")return e;const t={...e};if(t.properties&&typeof t.properties=="object"){const n=t.properties,a={};for(const[i,s]of Object.entries(n)){if(!s||typeof s!="object"){a[i]=s;continue}const o={...s};if(!o.type&&o.default!==void 0){const l=o.default;typeof l=="string"?o.type="string":typeof l=="number"?o.type=Number.isInteger(l)?"integer":"number":typeof l=="boolean"?o.type="boolean":Array.isArray(l)?o.type="array":typeof l=="object"&&l!==null&&(o.type="object")}o.properties&&Object.assign(o,this.normalizeSchemaProperties(o)),o.items&&typeof o.items=="object"&&(o.items=this.normalizeSchemaProperties(o.items)),a[i]=o}t.properties=a}return t}getToolNames(){return Array.from(this.toolsIndex.keys())}hasTool(e){return this.toolsIndex.has(e)}getToolServer(e){return this.toolsIndex.get(e)}hasPromptsSupport(){for(const e of this.connections.values())if(e.serverCapabilities?.prompts)return!0;return!1}hasPromptsCapability(e){if(e!==void 0){const t=new Set(e.filter(n=>n.enabled).map(n=>n.serverId));if(t.size===0)return!1;for(const[n,a]of Object.entries(this._healthChecks))if(t.has(n)&&a.status===kn.SUCCESS&&a.capabilities?.server?.prompts!==void 0)return!0;for(const[n,a]of this.connections)if(t.has(n)&&a.serverCapabilities?.prompts)return!0;return!1}for(const t of Object.values(this._healthChecks))if(t.status===kn.SUCCESS&&t.capabilities?.server?.prompts!==void 0)return!0;for(const t of this.connections.values())if(t.serverCapabilities?.prompts)return!0;return!1}async getAllPrompts(){const e=[];for(const[t,n]of this.connections){if(!n.serverCapabilities?.prompts)continue;const a=await Vn.listPrompts(n);for(const i of a)e.push({name:i.name,description:i.description,title:i.title,serverName:t,arguments:i.arguments?.map(s=>({name:s.name,description:s.description,required:s.required}))})}return e}async getPrompt(e,t,n){const a=this.connections.get(e);if(!a)throw new Error(`Server "${e}" not found for prompt "${t}"`);return Vn.getPrompt(a,t,n)}async executeTool(e,t){const n=e.function.name,a=this.toolsIndex.get(n);if(!a)throw new Error(`Unknown tool: ${n}`);const i=this.connections.get(a);if(!i)throw new Error(`Server "${a}" is not connected`);const s=this.parseToolArguments(e.function.arguments);try{return await Vn.callTool(i,{name:n,arguments:s},t)}catch(o){if(Vn.isSessionExpiredError(o)){await this.reconnectServer(a);const l=this.connections.get(a);if(!l)throw new Error(`Failed to reconnect to "${a}"`);return Vn.callTool(l,{name:n,arguments:s},t)}throw o}}async executeToolByName(e,t,n){const a=this.toolsIndex.get(e);if(!a)throw new Error(`Unknown tool: ${e}`);const i=this.connections.get(a);if(!i)throw new Error(`Server "${a}" is not connected`);try{return await Vn.callTool(i,{name:e,arguments:t},n)}catch(s){if(Vn.isSessionExpiredError(s)){await this.reconnectServer(a);const o=this.connections.get(a);if(!o)throw new Error(`Failed to reconnect to "${a}"`);return Vn.callTool(o,{name:e,arguments:t},n)}throw s}}parseToolArguments(e){if(typeof e=="string"){const t=e.trim();if(t==="")return{};try{const n=JSON.parse(t);if(typeof n!="object"||n===null||Array.isArray(n))throw new Error(`Tool arguments must be an object, got ${Array.isArray(n)?"array":typeof n}`);return n}catch(n){throw new Error(`Failed to parse tool arguments as JSON: ${n.message}`)}}if(typeof e=="object"&&e!==null&&!Array.isArray(e))return e;throw new Error(`Invalid tool arguments type: ${typeof e}`)}async getPromptCompletions(e,t,n,a){const i=this.connections.get(e);return i?i.serverCapabilities?.completions?Vn.complete(i,{type:h3.PROMPT,name:t},{name:n,value:a}):null:(console.warn(`[MCPStore] Server "${e}" is not connected`),null)}async getResourceCompletions(e,t,n,a){const i=this.connections.get(e);return i?i.serverCapabilities?.completions?Vn.complete(i,{type:h3.RESOURCE,uri:t},{name:n,value:a}):null:(console.warn(`[MCPStore] Server "${e}" is not connected`),null)}async readResourceByUri(e,t){const n=this.connections.get(e);if(!n)return console.error(`[MCPStore] No connection found for server: ${e}`),null;try{return(await Vn.readResource(n,t)).contents}catch(a){return console.error(`[MCPStore] Failed to read resource ${t}:`,a),null}}parseHeaders(e){if(e?.trim())try{const t=JSON.parse(e);if(typeof t=="object"&&t!==null&&!Array.isArray(t))return t}catch{console.warn("[MCPStore] Failed to parse custom headers JSON:",e)}}async runHealthChecksForServers(e,t=!0,n=!1){const a=t?e.filter(s=>!this.hasHealthCheck(s.id)&&s.url.trim()):e.filter(s=>s.url.trim());if(a.length===0)return;const i=5;for(let s=0;s<a.length;s+=i){const o=a.slice(s,s+i);await Promise.allSettled(o.map(l=>this.runHealthCheck(l,n)))}}getExistingConnection(e){return this.connections.get(e)}async runHealthCheck(e,t=!1){const n=this.connections.get(e.id);if(n)try{const c=await Vn.listTools(n),u=this.#u(n.serverCapabilities,n.clientCapabilities);this.updateHealthCheck(e.id,{status:kn.SUCCESS,tools:c.map(d=>({name:d.name,description:d.description,title:d.title})),serverInfo:n.serverInfo,capabilities:u,transportType:n.transportType,protocolVersion:n.protocolVersion,instructions:n.instructions,connectionTimeMs:n.connectionTimeMs,logs:[]});return}catch(c){console.warn(`[MCPStore] Failed to reuse connection for ${e.id}, creating new one:`,c),this.connections.delete(e.id)}const a=e.url.trim(),i=[];let s=Na.IDLE;if(!a){this.updateHealthCheck(e.id,{status:kn.ERROR,message:"Please enter a server URL first.",logs:[]});return}this.updateHealthCheck(e.id,{status:kn.CONNECTING,phase:Na.TRANSPORT_CREATING,logs:[]});const o=Math.round(e.requestTimeoutSeconds*1e3),l=this.parseHeaders(e.headers);try{const c={url:a,transport:o8(a),handshakeTimeoutMs:Va.connectionTimeoutMs,requestTimeoutMs:o,headers:l,useProxy:e.useProxy};this.serverConfigs.set(e.id,c);const u=await Vn.connect(e.id,c,Va.clientInfo,Va.capabilities,(p,m)=>{s=p,i.push(m),this.updateHealthCheck(e.id,{status:kn.CONNECTING,phase:p,logs:[...i]}),p===Na.DISCONNECTED&&t&&(console.log(`[MCPStore][${e.id}] Connection lost during health check, starting auto-reconnect`),this.autoReconnect(e.id))}),d=u.tools.map(p=>({name:p.name,description:p.description,title:p.title})),h=this.#u(u.serverCapabilities,u.clientCapabilities);this.updateHealthCheck(e.id,{status:kn.SUCCESS,tools:d,serverInfo:u.serverInfo,capabilities:h,transportType:u.transportType,protocolVersion:u.protocolVersion,instructions:u.instructions,connectionTimeMs:u.connectionTimeMs,logs:i}),t&&e.enabled?this.promoteHealthCheckToConnection(e.id,u):await Vn.disconnect(u)}catch(c){const u=c instanceof Error?c.message:"Unknown error occurred";i.push({timestamp:new Date,phase:Na.ERROR,message:`Connection failed: ${u}`,level:Du.ERROR}),this.updateHealthCheck(e.id,{status:kn.ERROR,message:u,phase:s,logs:i})}}promoteHealthCheckToConnection(e,t){for(const n of t.tools)this.toolsIndex.has(n.name)&&console.warn(`[MCPStore] Tool name conflict during promotion: "${n.name}" exists in "${this.toolsIndex.get(n.name)}" and "${e}". Using tool from "${e}".`),this.toolsIndex.set(n.name,e);this.connections.set(e,t),this.updateState({toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())})}getServersStatus(){const e=[];for(const[t,n]of this.connections)e.push({name:t,isConnected:!0,toolCount:n.tools.length,error:void 0});return e}getServerInstructions(){const e=[];for(const[t,n]of this.connections)n.instructions&&e.push({serverName:t,serverTitle:n.serverInfo?.title||n.serverInfo?.name,instructions:n.instructions});return e}getHealthCheckInstructions(){const e=[];for(const[t,n]of Object.entries(this._healthChecks))n.status===kn.SUCCESS&&n.instructions&&e.push({serverId:t,serverTitle:n.serverInfo?.title||n.serverInfo?.name,instructions:n.instructions});return e}hasServerInstructions(){for(const e of this.connections.values())if(e.instructions)return!0;return!1}hasResourcesCapability(e){if(e!==void 0){const t=new Set(e.filter(n=>n.enabled).map(n=>n.serverId));if(t.size===0)return!1;for(const[n,a]of Object.entries(this._healthChecks))if(t.has(n)&&a.status===kn.SUCCESS&&a.capabilities?.server?.resources!==void 0)return!0;for(const[n,a]of this.connections)if(t.has(n)&&Vn.supportsResources(a))return!0;return!1}for(const t of Object.values(this._healthChecks))if(t.status===kn.SUCCESS&&t.capabilities?.server?.resources!==void 0)return!0;for(const t of this.connections.values())if(Vn.supportsResources(t))return!0;return!1}getServersWithResources(){const e=[];for(const[t,n]of this.connections)Vn.supportsResources(n)&&!e.includes(t)&&e.push(t);for(const[t,n]of Object.entries(this._healthChecks))!e.includes(t)&&n.status===kn.SUCCESS&&n.capabilities?.server?.resources!==void 0&&e.push(t);return e}async fetchAllResources(e=!1){const t=this.getServersWithResources();if(t.length!==0){if(!e&&t.every(a=>{const 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n=e[0],a=e[1],i=t[0]*t[3]-t[1]*t[2];e[0]=(n*t[3]-a*t[2]+t[2]*t[5]-t[4]*t[3])/i,e[1]=(-n*t[1]+a*t[0]+t[4]*t[1]-t[5]*t[0])/i}static axialAlignedBoundingBox(e,t,n){const a=t[0],i=t[1],s=t[2],o=t[3],l=t[4],c=t[5],u=e[0],d=e[1],h=e[2],p=e[3];let m=a*u+l,g=m,b=a*h+l,_=b,v=o*d+c,y=v,E=o*p+c,S=E;if(i!==0||s!==0){const w=i*u,C=i*h,x=s*d,N=s*p;m+=x,_+=x,b+=N,g+=N,v+=w,S+=w,E+=C,y+=C}n[0]=Math.min(n[0],m,b,g,_),n[1]=Math.min(n[1],v,E,y,S),n[2]=Math.max(n[2],m,b,g,_),n[3]=Math.max(n[3],v,E,y,S)}static inverseTransform(e){const t=e[0]*e[3]-e[1]*e[2];return[e[3]/t,-e[1]/t,-e[2]/t,e[0]/t,(e[2]*e[5]-e[4]*e[3])/t,(e[4]*e[1]-e[5]*e[0])/t]}static singularValueDecompose2dScale(e,t){const n=e[0],a=e[1],i=e[2],s=e[3],o=n**2+a**2,l=n*i+a*s,c=i**2+s**2,u=(o+c)/2,d=Math.sqrt(u**2-(o*c-l**2));t[0]=Math.sqrt(u+d||1),t[1]=Math.sqrt(u-d||1)}static normalizeRect(e){const t=e.slice(0);return e[0]>e[2]&&(t[0]=e[2],t[2]=e[0]),e[1]>e[3]&&(t[1]=e[3],t[3]=e[1]),t}static intersect(e,t){const n=Math.max(Math.min(e[0],e[2]),Math.min(t[0],t[2])),a=Math.min(Math.max(e[0],e[2]),Math.max(t[0],t[2]));if(n>a)return null;const i=Math.max(Math.min(e[1],e[3]),Math.min(t[1],t[3])),s=Math.min(Math.max(e[1],e[3]),Math.max(t[1],t[3]));return i>s?null:[n,i,a,s]}static pointBoundingBox(e,t,n){n[0]=Math.min(n[0],e),n[1]=Math.min(n[1],t),n[2]=Math.max(n[2],e),n[3]=Math.max(n[3],t)}static rectBoundingBox(e,t,n,a,i){i[0]=Math.min(i[0],e,n),i[1]=Math.min(i[1],t,a),i[2]=Math.max(i[2],e,n),i[3]=Math.max(i[3],t,a)}static#e(e,t,n,a,i,s,o,l,c,u){if(c<=0||c>=1)return;const d=1-c,h=c*c,p=h*c,m=d*(d*(d*e+3*c*t)+3*h*n)+p*a,g=d*(d*(d*i+3*c*s)+3*h*o)+p*l;u[0]=Math.min(u[0],m),u[1]=Math.min(u[1],g),u[2]=Math.max(u[2],m),u[3]=Math.max(u[3],g)}static#t(e,t,n,a,i,s,o,l,c,u,d,h){if(Math.abs(c)<1e-12){Math.abs(u)>=1e-12&&this.#e(e,t,n,a,i,s,o,l,-d/u,h);return}const p=u**2-4*d*c;if(p<0)return;const m=Math.sqrt(p),g=2*c;this.#e(e,t,n,a,i,s,o,l,(-u+m)/g,h),this.#e(e,t,n,a,i,s,o,l,(-u-m)/g,h)}static bezierBoundingBox(e,t,n,a,i,s,o,l,c){c[0]=Math.min(c[0],e,o),c[1]=Math.min(c[1],t,l),c[2]=Math.max(c[2],e,o),c[3]=Math.max(c[3],t,l),this.#t(e,n,i,o,t,a,s,l,3*(-e+3*(n-i)+o),6*(e-2*n+i),3*(n-e),c),this.#t(e,n,i,o,t,a,s,l,3*(-t+3*(a-s)+l),6*(t-2*a+s),3*(a-t),c)}}function ove(r){return decodeURIComponent(escape(r))}let DT=null,vD=null;function lve(r){return DT||(DT=/([\u00a0\u00b5\u037e\u0eb3\u2000-\u200a\u202f\u2126\ufb00-\ufb04\ufb06\ufb20-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufba1\ufba4-\ufba9\ufbae-\ufbb1\ufbd3-\ufbdc\ufbde-\ufbe7\ufbea-\ufbf8\ufbfc-\ufbfd\ufc00-\ufc5d\ufc64-\ufcf1\ufcf5-\ufd3d\ufd88\ufdf4\ufdfa-\ufdfb\ufe71\ufe77\ufe79\ufe7b\ufe7d]+)|(\ufb05+)/gu,vD=new Map([["ſt","ſt"]])),r.replaceAll(DT,(e,t,n)=>t?t.normalize("NFKC"):vD.get(n))}function dz(){if(typeof crypto.randomUUID=="function")return crypto.randomUUID();const r=new Uint8Array(32);return crypto.getRandomValues(r),uz(r)}const hx="pdfjs_internal_id_";function cve(r,e,t){if(!Array.isArray(t)||t.length<2)return!1;const[n,a,...i]=t;if(!r(n)&&!Number.isInteger(n)||!e(a))return!1;const s=i.length;let o=!0;switch(a.name){case"XYZ":if(s<2||s>3)return!1;break;case"Fit":case"FitB":return s===0;case"FitH":case"FitBH":case"FitV":case"FitBV":if(s>1)return!1;break;case"FitR":if(s!==4)return!1;o=!1;break;default:return!1}for(const l of i)if(!(typeof l=="number"||o&&l===null))return!1;return!0}function ts(r,e,t){return Math.min(Math.max(r,e),t)}function hz(r){return Uint8Array.prototype.toBase64?r.toBase64():btoa(uz(r))}function uve(r){return Uint8Array.fromBase64?Uint8Array.fromBase64(r):Sg(atob(r))}typeof Promise.try!="function"&&(Promise.try=function(r,...e){return new Promise(t=>{t(r(...e))})});typeof Math.sumPrecise!="function"&&(Math.sumPrecise=function(r){return r.reduce((e,t)=>e+t,0)});const fc="http://www.w3.org/2000/svg";class Uf{static CSS=96;static PDF=72;static PDF_TO_CSS_UNITS=this.CSS/this.PDF}async function Eg(r,e="text"){if(Xp(r,document.baseURI)){const t=await fetch(r);if(!t.ok)throw new Error(t.statusText);switch(e){case"arraybuffer":return t.arrayBuffer();case"blob":return t.blob();case"json":return t.json()}return t.text()}return new Promise((t,n)=>{const a=new XMLHttpRequest;a.open("GET",r,!0),a.responseType=e,a.onreadystatechange=()=>{if(a.readyState===XMLHttpRequest.DONE){if(a.status===200||a.status===0){switch(e){case"arraybuffer":case"blob":case"json":t(a.response);return}t(a.responseText);return}n(new Error(a.statusText))}},a.send(null)})}class wg{constructor({viewBox:e,userUnit:t,scale:n,rotation:a,offsetX:i=0,offsetY:s=0,dontFlip:o=!1}){this.viewBox=e,this.userUnit=t,this.scale=n,this.rotation=a,this.offsetX=i,this.offsetY=s,n*=t;const l=(e[2]+e[0])/2,c=(e[3]+e[1])/2;let u,d,h,p;switch(a%=360,a<0&&(a+=360),a){case 180:u=-1,d=0,h=0,p=1;break;case 90:u=0,d=1,h=1,p=0;break;case 270:u=0,d=-1,h=-1,p=0;break;case 0:u=1,d=0,h=0,p=-1;break;default:throw new Error("PageViewport: 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Dr.applyInverseTransform(n,this.transform),n}}class fx extends ch{constructor(e,t=0){super(e,"RenderingCancelledException"),this.extraDelay=t}}function uy(r){const e=r.length;let t=0;for(;t<e&&r[t].trim()==="";)t++;return r.substring(t,t+5).toLowerCase()==="data:"}function px(r){return typeof r=="string"&&/\.pdf$/i.test(r)}function dve(r){return[r]=r.split(/[#?]/,1),r.substring(r.lastIndexOf("/")+1)}function hve(r,e="document.pdf"){if(typeof r!="string")return e;if(uy(r))return Jr('getPdfFilenameFromUrl: ignore "data:"-URL for performance reasons.'),e;const n=(o=>{try{return new URL(o)}catch{try{return new URL(decodeURIComponent(o))}catch{try{return new URL(o,"https://foo.bar")}catch{try{return new URL(decodeURIComponent(o),"https://foo.bar")}catch{return null}}}}})(r);if(!n)return e;const a=o=>{try{let l=decodeURIComponent(o);return l.includes("/")?(l=l.split("/").at(-1),l.test(/^\.pdf$/i)?l:o):l}catch{return o}},i=/\.pdf$/i,s=n.pathname.split("/").at(-1);if(i.test(s))return 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pve(r,{scale:e=1,rotation:t=0}){const{width:n,height:a}=r.attributes.style,i=[0,0,parseInt(n),parseInt(a)];return new wg({viewBox:i,userUnit:1,scale:e,rotation:t})}function dy(r){if(r.startsWith("#")){const e=parseInt(r.slice(1),16);return[(e&16711680)>>16,(e&65280)>>8,e&255]}return r.startsWith("rgb(")?r.slice(4,-1).split(",").map(e=>parseInt(e)):r.startsWith("rgba(")?r.slice(5,-1).split(",").map(e=>parseInt(e)).slice(0,3):(Jr(`Not a valid color format: "${r}"`),[0,0,0])}function mve(r){const e=document.createElement("span");e.style.visibility="hidden",e.style.colorScheme="only light",document.body.append(e);for(const t of r.keys()){e.style.color=t;const n=window.getComputedStyle(e).color;r.set(t,dy(n))}e.remove()}function wa(r){const{a:e,b:t,c:n,d:a,e:i,f:s}=r.getTransform();return[e,t,n,a,i,s]}function _l(r){const{a:e,b:t,c:n,d:a,e:i,f:s}=r.getTransform().invertSelf();return[e,t,n,a,i,s]}function Zd(r,e,t=!1,n=!0){if(e instanceof wg){const{pageWidth:a,pageHeight:i}=e.rawDims,{style:s}=r,o=Mi.isCSSRoundSupported,l=`var(--total-scale-factor) * ${a}px`,c=`var(--total-scale-factor) * ${i}px`,u=o?`round(down, ${l}, var(--scale-round-x))`:`calc(${l})`,d=o?`round(down, ${c}, var(--scale-round-y))`:`calc(${c})`;!t||e.rotation%180===0?(s.width=u,s.height=d):(s.width=d,s.height=u)}n&&r.setAttribute("data-main-rotation",e.rotation)}class zl{constructor(){const{pixelRatio:e}=zl;this.sx=e,this.sy=e}get scaled(){return this.sx!==1||this.sy!==1}get symmetric(){return this.sx===this.sy}limitCanvas(e,t,n,a,i=-1){let s=1/0,o=1/0,l=1/0;n=zl.capPixels(n,i),n>0&&(s=Math.sqrt(n/(e*t))),a!==-1&&(o=a/e,l=a/t);const c=Math.min(s,o,l);return this.sx>c||this.sy>c?(this.sx=c,this.sy=c,!0):!1}static get pixelRatio(){return globalThis.devicePixelRatio||1}static capPixels(e,t){if(t>=0){const n=Math.ceil(window.screen.availWidth*window.screen.availHeight*this.pixelRatio**2*(1+t/100));return e>0?Math.min(e,n):n}return e}}const nA=["image/apng","image/avif","image/bmp","image/gif","image/jpeg","image/png","image/svg+xml","image/webp","image/x-icon"];class lm{#e=null;#t=null;#r;#n=null;#i=null;#a=null;#s=null;static#o=null;constructor(e){this.#r=e,lm.#o||=Object.freeze({freetext:"pdfjs-editor-remove-freetext-button",highlight:"pdfjs-editor-remove-highlight-button",ink:"pdfjs-editor-remove-ink-button",stamp:"pdfjs-editor-remove-stamp-button",signature:"pdfjs-editor-remove-signature-button"})}render(){const e=this.#e=document.createElement("div");e.classList.add("editToolbar","hidden"),e.setAttribute("role","toolbar");const t=this.#r._uiManager._signal;e.addEventListener("contextmenu",ko,{signal:t}),e.addEventListener("pointerdown",lm.#l,{signal:t});const n=this.#n=document.createElement("div");n.className="buttons",e.append(n);const a=this.#r.toolbarPosition;if(a){const{style:i}=e,s=this.#r._uiManager.direction==="ltr"?1-a[0]:a[0];i.insetInlineEnd=`${100*s}%`,i.top=`calc(${100*a[1]}% + var(--editor-toolbar-vert-offset))`}return e}get div(){return this.#e}static#l(e){e.stopPropagation()}#c(e){this.#r._focusEventsAllowed=!1,ja(e)}#d(e){this.#r._focusEventsAllowed=!0,ja(e)}#u(e){const t=this.#r._uiManager._signal;e.addEventListener("focusin",this.#c.bind(this),{capture:!0,signal:t}),e.addEventListener("focusout",this.#d.bind(this),{capture:!0,signal:t}),e.addEventListener("contextmenu",ko,{signal:t})}hide(){this.#e.classList.add("hidden"),this.#t?.hideDropdown()}show(){this.#e.classList.remove("hidden"),this.#i?.shown(),this.#a?.shown()}addDeleteButton(){const{editorType:e,_uiManager:t}=this.#r,n=document.createElement("button");n.className="delete",n.tabIndex=0,n.setAttribute("data-l10n-id",lm.#o[e]),this.#u(n),n.addEventListener("click",a=>{t.delete()},{signal:t._signal}),this.#n.append(n)}get#p(){const e=document.createElement("div");return e.className="divider",e}async addAltText(e){const t=await e.render();this.#u(t),this.#n.append(t,this.#p),this.#i=e}addComment(e){if(this.#a)return;const t=e.render();t&&(this.#u(t),this.#n.prepend(t,this.#p),this.#a=e,e.toolbar=this)}addColorPicker(e){if(this.#t)return;this.#t=e;const t=e.renderButton();this.#u(t),this.#n.append(t,this.#p)}async addEditSignatureButton(e){const t=this.#s=await e.renderEditButton(this.#r);this.#u(t),this.#n.append(t,this.#p)}async addButton(e,t){switch(e){case"colorPicker":this.addColorPicker(t);break;case"altText":await this.addAltText(t);break;case"editSignature":await this.addEditSignatureButton(t);break;case"delete":this.addDeleteButton();break;case"comment":this.addComment(t);break}}updateEditSignatureButton(e){this.#s&&(this.#s.title=e)}remove(){this.#e.remove(),this.#t?.destroy(),this.#t=null}}class gve{#e=null;#t=null;#r;constructor(e){this.#r=e}#n(){const e=this.#t=document.createElement("div");e.className="editToolbar",e.setAttribute("role","toolbar"),e.addEventListener("contextmenu",ko,{signal:this.#r._signal});const t=this.#e=document.createElement("div");return t.className="buttons",e.append(t),this.#a(),e}#i(e,t){let n=0,a=0;for(const i of e){const s=i.y+i.height;if(s<n)continue;const o=i.x+(t?i.width:0);if(s>n){a=o,n=s;continue}t?o>a&&(a=o):o<a&&(a=o)}return[t?1-a:a,n]}show(e,t,n){const[a,i]=this.#i(t,n),{style:s}=this.#t||=this.#n();e.append(this.#t),s.insetInlineEnd=`${100*a}%`,s.top=`calc(${100*i}% + var(--editor-toolbar-vert-offset))`}hide(){this.#t.remove()}#a(){const e=document.createElement("button");e.className="highlightButton",e.tabIndex=0,e.setAttribute("data-l10n-id","pdfjs-highlight-floating-button1");const t=document.createElement("span");e.append(t),t.className="visuallyHidden",t.setAttribute("data-l10n-id","pdfjs-highlight-floating-button-label");const n=this.#r._signal;e.addEventListener("contextmenu",ko,{signal:n}),e.addEventListener("click",()=>{this.#r.highlightSelection("floating_button")},{signal:n}),this.#e.append(e)}}function fz(r,e,t){for(const n of t)e.addEventListener(n,r[n].bind(r))}class _ve{#e=0;get id(){return`${oz}${this.#e++}`}}class mx{#e=dz();#t=0;#r=null;static get _isSVGFittingCanvas(){const e='data:image/svg+xml;charset=UTF-8,<svg viewBox="0 0 1 1" width="1" height="1" xmlns="http://www.w3.org/2000/svg"><rect width="1" height="1" style="fill:red;"/></svg>',n=new OffscreenCanvas(1,3).getContext("2d",{willReadFrequently:!0}),a=new Image;a.src=e;const i=a.decode().then(()=>(n.drawImage(a,0,0,1,1,0,0,1,3),new Uint32Array(n.getImageData(0,0,1,1).data.buffer)[0]===0));return bn(this,"_isSVGFittingCanvas",i)}async#n(e,t){this.#r||=new Map;let n=this.#r.get(e);if(n===null)return null;if(n?.bitmap)return n.refCounter+=1,n;try{n||={bitmap:null,id:`image_${this.#e}_${this.#t++}`,refCounter:0,isSvg:!1};let a;if(typeof t=="string"?(n.url=t,a=await Eg(t,"blob")):t instanceof File?a=n.file=t:t instanceof Blob&&(a=t),a.type==="image/svg+xml"){const i=mx._isSVGFittingCanvas,s=new FileReader,o=new Image,l=new Promise((c,u)=>{o.onload=()=>{n.bitmap=o,n.isSvg=!0,c()},s.onload=async()=>{const d=n.svgUrl=s.result;o.src=await i?`${d}#svgView(preserveAspectRatio(none))`:d},o.onerror=s.onerror=u});s.readAsDataURL(a),await l}else n.bitmap=await createImageBitmap(a);n.refCounter=1}catch(a){Jr(a),n=null}return this.#r.set(e,n),n&&this.#r.set(n.id,n),n}async getFromFile(e){const{lastModified:t,name:n,size:a,type:i}=e;return this.#n(`${t}_${n}_${a}_${i}`,e)}async getFromUrl(e){return this.#n(e,e)}async getFromBlob(e,t){const n=await t;return this.#n(e,n)}async getFromId(e){this.#r||=new Map;const t=this.#r.get(e);if(!t)return null;if(t.bitmap)return t.refCounter+=1,t;if(t.file)return this.getFromFile(t.file);if(t.blobPromise){const{blobPromise:n}=t;return delete t.blobPromise,this.getFromBlob(t.id,n)}return this.getFromUrl(t.url)}getFromCanvas(e,t){this.#r||=new Map;let n=this.#r.get(e);if(n?.bitmap)return n.refCounter+=1,n;const a=new OffscreenCanvas(t.width,t.height);return a.getContext("2d").drawImage(t,0,0),n={bitmap:a.transferToImageBitmap(),id:`image_${this.#e}_${this.#t++}`,refCounter:1,isSvg:!1},this.#r.set(e,n),this.#r.set(n.id,n),n}getSvgUrl(e){const t=this.#r.get(e);return t?.isSvg?t.svgUrl:null}deleteId(e){this.#r||=new Map;const t=this.#r.get(e);if(!t||(t.refCounter-=1,t.refCounter!==0))return;const{bitmap:n}=t;if(!t.url&&!t.file){const a=new OffscreenCanvas(n.width,n.height);a.getContext("bitmaprenderer").transferFromImageBitmap(n),t.blobPromise=a.convertToBlob()}n.close?.(),t.bitmap=null}isValidId(e){return e.startsWith(`image_${this.#e}_`)}}class bve{#e=[];#t=!1;#r;#n=-1;constructor(e=128){this.#r=e}add({cmd:e,undo:t,post:n,mustExec:a,type:i=NaN,overwriteIfSameType:s=!1,keepUndo:o=!1}){if(a&&e(),this.#t)return;const l={cmd:e,undo:t,post:n,type:i};if(this.#n===-1){this.#e.length>0&&(this.#e.length=0),this.#n=0,this.#e.push(l);return}if(s&&this.#e[this.#n].type===i){o&&(l.undo=this.#e[this.#n].undo),this.#e[this.#n]=l;return}const c=this.#n+1;c===this.#r?this.#e.splice(0,1):(this.#n=c,c<this.#e.length&&this.#e.splice(c)),this.#e.push(l)}undo(){if(this.#n===-1)return;this.#t=!0;const{undo:e,post:t}=this.#e[this.#n];e(),t?.(),this.#t=!1,this.#n-=1}redo(){if(this.#n<this.#e.length-1){this.#n+=1,this.#t=!0;const{cmd:e,post:t}=this.#e[this.#n];e(),t?.(),this.#t=!1}}hasSomethingToUndo(){return this.#n!==-1}hasSomethingToRedo(){return this.#n<this.#e.length-1}cleanType(e){if(this.#n!==-1){for(let t=this.#n;t>=0;t--)if(this.#e[t].type!==e){this.#e.splice(t+1,this.#n-t),this.#n=t;return}this.#e.length=0,this.#n=-1}}destroy(){this.#e=null}}class Tg{constructor(e){this.buffer=[],this.callbacks=new Map,this.allKeys=new Set;const{isMac:t}=Mi.platform;for(const[n,a,i={}]of e)for(const s of n){const o=s.startsWith("mac+");t&&o?(this.callbacks.set(s.slice(4),{callback:a,options:i}),this.allKeys.add(s.split("+").at(-1))):!t&&!o&&(this.callbacks.set(s,{callback:a,options:i}),this.allKeys.add(s.split("+").at(-1)))}}#e(e){e.altKey&&this.buffer.push("alt"),e.ctrlKey&&this.buffer.push("ctrl"),e.metaKey&&this.buffer.push("meta"),e.shiftKey&&this.buffer.push("shift"),this.buffer.push(e.key);const t=this.buffer.join("+");return this.buffer.length=0,t}exec(e,t){if(!this.allKeys.has(t.key))return;const n=this.callbacks.get(this.#e(t));if(!n)return;const{callback:a,options:{bubbles:i=!1,args:s=[],checker:o=null}}=n;o&&!o(e,t)||(a.bind(e,...s,t)(),i||ja(t))}}class gx{static _colorsMapping=new Map([["CanvasText",[0,0,0]],["Canvas",[255,255,255]]]);get _colors(){const e=new Map([["CanvasText",null],["Canvas",null]]);return mve(e),bn(this,"_colors",e)}convert(e){const t=dy(e);if(!window.matchMedia("(forced-colors: active)").matches)return t;for(const[n,a]of this._colors)if(a.every((i,s)=>i===t[s]))return gx._colorsMapping.get(n);return t}getHexCode(e){const t=this._colors.get(e);return t?Dr.makeHexColor(...t):e}}class Bu{#e=new AbortController;#t=null;#r=new Map;#n=new Map;#i=null;#a=null;#s=null;#o=new bve;#l=null;#c=null;#d=null;#u=0;#p=new Set;#m=null;#f=null;#h=new Set;_editorUndoBar=null;#g=!1;#v=!1;#_=!1;#y=null;#S=null;#b=null;#w=null;#T=!1;#C=null;#N=new _ve;#O=!1;#R=!1;#x=null;#k=null;#F=null;#M=null;#G=null;#A=Zr.NONE;#E=new Set;#B=null;#U=null;#z=null;#V=null;#Y={isEditing:!1,isEmpty:!0,hasSomethingToUndo:!1,hasSomethingToRedo:!1,hasSelectedEditor:!1,hasSelectedText:!1};#q=[0,0];#D=null;#P=null;#H=null;#X=null;#L=null;static TRANSLATE_SMALL=1;static TRANSLATE_BIG=10;static get _keyboardManager(){const e=Bu.prototype,t=s=>s.#P.contains(document.activeElement)&&document.activeElement.tagName!=="BUTTON"&&s.hasSomethingToControl(),n=(s,{target:o})=>{if(o instanceof HTMLInputElement){const{type:l}=o;return l!=="text"&&l!=="number"}return!0},a=this.TRANSLATE_SMALL,i=this.TRANSLATE_BIG;return bn(this,"_keyboardManager",new Tg([[["ctrl+a","mac+meta+a"],e.selectAll,{checker:n}],[["ctrl+z","mac+meta+z"],e.undo,{checker:n}],[["ctrl+y","ctrl+shift+z","mac+meta+shift+z","ctrl+shift+Z","mac+meta+shift+Z"],e.redo,{checker:n}],[["Backspace","alt+Backspace","ctrl+Backspace","shift+Backspace","mac+Backspace","mac+alt+Backspace","mac+ctrl+Backspace","Delete","ctrl+Delete","shift+Delete","mac+Delete"],e.delete,{checker:n}],[["Enter","mac+Enter"],e.addNewEditorFromKeyboard,{checker:(s,{target:o})=>!(o instanceof HTMLButtonElement)&&s.#P.contains(o)&&!s.isEnterHandled}],[[" ","mac+ "],e.addNewEditorFromKeyboard,{checker:(s,{target:o})=>!(o instanceof HTMLButtonElement)&&s.#P.contains(document.activeElement)}],[["Escape","mac+Escape"],e.unselectAll],[["ArrowLeft","mac+ArrowLeft"],e.translateSelectedEditors,{args:[-a,0],checker:t}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],e.translateSelectedEditors,{args:[-i,0],checker:t}],[["ArrowRight","mac+ArrowRight"],e.translateSelectedEditors,{args:[a,0],checker:t}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],e.translateSelectedEditors,{args:[i,0],checker:t}],[["ArrowUp","mac+ArrowUp"],e.translateSelectedEditors,{args:[0,-a],checker:t}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],e.translateSelectedEditors,{args:[0,-i],checker:t}],[["ArrowDown","mac+ArrowDown"],e.translateSelectedEditors,{args:[0,a],checker:t}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],e.translateSelectedEditors,{args:[0,i],checker:t}]]))}constructor(e,t,n,a,i,s,o,l,c,u,d,h,p,m,g,b){const _=this._signal=this.#e.signal;this.#P=e,this.#H=t,this.#X=n,this.#i=a,this.#l=i,this.#U=s,this._eventBus=o,o._on("editingaction",this.onEditingAction.bind(this),{signal:_}),o._on("pagechanging",this.onPageChanging.bind(this),{signal:_}),o._on("scalechanging",this.onScaleChanging.bind(this),{signal:_}),o._on("rotationchanging",this.onRotationChanging.bind(this),{signal:_}),o._on("setpreference",this.onSetPreference.bind(this),{signal:_}),o._on("switchannotationeditorparams",v=>this.updateParams(v.type,v.value),{signal:_}),this.#ie(),this.#ce(),this.#Z(),this.#a=l.annotationStorage,this.#y=l.filterFactory,this.#z=c,this.#w=u||null,this.#g=d,this.#v=h,this.#_=p,this.#G=m||null,this.viewParameters={realScale:Uf.PDF_TO_CSS_UNITS,rotation:0},this.isShiftKeyDown=!1,this._editorUndoBar=g||null,this._supportsPinchToZoom=b!==!1}destroy(){this.#L?.resolve(),this.#L=null,this.#e?.abort(),this.#e=null,this._signal=null;for(const e of this.#n.values())e.destroy();this.#n.clear(),this.#r.clear(),this.#h.clear(),this.#M?.clear(),this.#t=null,this.#E.clear(),this.#o.destroy(),this.#i?.destroy(),this.#l?.destroy(),this.#U?.destroy(),this.#C?.hide(),this.#C=null,this.#F?.destroy(),this.#F=null,this.#S&&(clearTimeout(this.#S),this.#S=null),this.#D&&(clearTimeout(this.#D),this.#D=null),this._editorUndoBar?.destroy()}combinedSignal(e){return AbortSignal.any([this._signal,e.signal])}get mlManager(){return this.#G}get useNewAltTextFlow(){return this.#v}get useNewAltTextWhenAddingImage(){return this.#_}get hcmFilter(){return bn(this,"hcmFilter",this.#z?this.#y.addHCMFilter(this.#z.foreground,this.#z.background):"none")}get direction(){return bn(this,"direction",getComputedStyle(this.#P).direction)}get _highlightColors(){return bn(this,"_highlightColors",this.#w?new Map(this.#w.split(",").map(e=>(e=e.split("=").map(t=>t.trim()),e[1]=e[1].toUpperCase(),e))):null)}get highlightColors(){const{_highlightColors:e}=this;if(!e)return bn(this,"highlightColors",null);const t=new Map,n=!!this.#z;for(const[a,i]of e){const s=a.endsWith("_HCM");if(n&&s){t.set(a.replace("_HCM",""),i);continue}!n&&!s&&t.set(a,i)}return bn(this,"highlightColors",t)}get highlightColorNames(){return bn(this,"highlightColorNames",this.highlightColors?new Map(Array.from(this.highlightColors,e=>e.reverse())):null)}getNonHCMColor(e){if(!this._highlightColors)return e;const t=this.highlightColorNames.get(e);return this._highlightColors.get(t)||e}getNonHCMColorName(e){return this.highlightColorNames.get(e)||e}setCurrentDrawingSession(e){e?(this.unselectAll(),this.disableUserSelect(!0)):this.disableUserSelect(!1),this.#d=e}setMainHighlightColorPicker(e){this.#F=e}editAltText(e,t=!1){this.#i?.editAltText(this,e,t)}hasCommentManager(){return!!this.#l}editComment(e,t){this.#l?.open(this,e,t)}getSignature(e){this.#U?.getSignature({uiManager:this,editor:e})}get signatureManager(){return this.#U}switchToMode(e,t){this._eventBus.on("annotationeditormodechanged",t,{once:!0,signal:this._signal}),this._eventBus.dispatch("showannotationeditorui",{source:this,mode:e})}setPreference(e,t){this._eventBus.dispatch("setpreference",{source:this,name:e,value:t})}onSetPreference({name:e,value:t}){switch(e){case"enableNewAltTextWhenAddingImage":this.#_=t;break}}onPageChanging({pageNumber:e}){this.#u=e-1}focusMainContainer(){this.#P.focus()}findParent(e,t){for(const n of this.#n.values()){const{x:a,y:i,width:s,height:o}=n.div.getBoundingClientRect();if(e>=a&&e<=a+s&&t>=i&&t<=i+o)return n}return null}disableUserSelect(e=!1){this.#H.classList.toggle("noUserSelect",e)}addShouldRescale(e){this.#h.add(e)}removeShouldRescale(e){this.#h.delete(e)}onScaleChanging({scale:e}){this.commitOrRemove(),this.viewParameters.realScale=e*Uf.PDF_TO_CSS_UNITS;for(const t of this.#h)t.onScaleChanging();this.#d?.onScaleChanging()}onRotationChanging({pagesRotation:e}){this.commitOrRemove(),this.viewParameters.rotation=e}#j({anchorNode:e}){return e.nodeType===Node.TEXT_NODE?e.parentElement:e}#Q(e){const{currentLayer:t}=this;if(t.hasTextLayer(e))return t;for(const n of this.#n.values())if(n.hasTextLayer(e))return n;return null}highlightSelection(e=""){const t=document.getSelection();if(!t||t.isCollapsed)return;const{anchorNode:n,anchorOffset:a,focusNode:i,focusOffset:s}=t,o=t.toString(),c=this.#j(t).closest(".textLayer"),u=this.getSelectionBoxes(c);if(!u)return;t.empty();const d=this.#Q(c),h=this.#A===Zr.NONE,p=()=>{d?.createAndAddNewEditor({x:0,y:0},!1,{methodOfCreation:e,boxes:u,anchorNode:n,anchorOffset:a,focusNode:i,focusOffset:s,text:o}),h&&this.showAllEditors("highlight",!0,!0)};if(h){this.switchToMode(Zr.HIGHLIGHT,p);return}p()}#ne(){const e=document.getSelection();if(!e||e.isCollapsed)return;const n=this.#j(e).closest(".textLayer"),a=this.getSelectionBoxes(n);a&&(this.#C||=new gve(this),this.#C.show(n,a,this.direction==="ltr"))}addToAnnotationStorage(e){!e.isEmpty()&&this.#a&&!this.#a.has(e.id)&&this.#a.setValue(e.id,e)}a11yAlert(e,t=null){const n=this.#X;n&&(n.setAttribute("data-l10n-id",e),t?n.setAttribute("data-l10n-args",JSON.stringify(t)):n.removeAttribute("data-l10n-args"))}#ae(){const e=document.getSelection();if(!e||e.isCollapsed){this.#B&&(this.#C?.hide(),this.#B=null,this.#I({hasSelectedText:!1}));return}const{anchorNode:t}=e;if(t===this.#B)return;const a=this.#j(e).closest(".textLayer");if(!a){this.#B&&(this.#C?.hide(),this.#B=null,this.#I({hasSelectedText:!1}));return}if(this.#C?.hide(),this.#B=t,this.#I({hasSelectedText:!0}),!(this.#A!==Zr.HIGHLIGHT&&this.#A!==Zr.NONE)&&(this.#A===Zr.HIGHLIGHT&&this.showAllEditors("highlight",!0,!0),this.#T=this.isShiftKeyDown,!this.isShiftKeyDown)){const i=this.#A===Zr.HIGHLIGHT?this.#Q(a):null;i?.toggleDrawing();const s=new AbortController,o=this.combinedSignal(s),l=c=>{c.type==="pointerup"&&c.button!==0||(s.abort(),i?.toggleDrawing(!0),c.type==="pointerup"&&this.#K("main_toolbar"))};window.addEventListener("pointerup",l,{signal:o}),window.addEventListener("blur",l,{signal:o})}}#K(e=""){this.#A===Zr.HIGHLIGHT?this.highlightSelection(e):this.#g&&this.#ne()}#ie(){document.addEventListener("selectionchange",this.#ae.bind(this),{signal:this._signal})}#se(){if(this.#b)return;this.#b=new AbortController;const e=this.combinedSignal(this.#b);window.addEventListener("focus",this.focus.bind(this),{signal:e}),window.addEventListener("blur",this.blur.bind(this),{signal:e})}#oe(){this.#b?.abort(),this.#b=null}blur(){if(this.isShiftKeyDown=!1,this.#T&&(this.#T=!1,this.#K("main_toolbar")),!this.hasSelection)return;const{activeElement:e}=document;for(const t of this.#E)if(t.div.contains(e)){this.#k=[t,e],t._focusEventsAllowed=!1;break}}focus(){if(!this.#k)return;const[e,t]=this.#k;this.#k=null,t.addEventListener("focusin",()=>{e._focusEventsAllowed=!0},{once:!0,signal:this._signal}),t.focus()}#Z(){if(this.#x)return;this.#x=new AbortController;const e=this.combinedSignal(this.#x);window.addEventListener("keydown",this.keydown.bind(this),{signal:e}),window.addEventListener("keyup",this.keyup.bind(this),{signal:e})}#le(){this.#x?.abort(),this.#x=null}#J(){if(this.#c)return;this.#c=new AbortController;const e=this.combinedSignal(this.#c);document.addEventListener("copy",this.copy.bind(this),{signal:e}),document.addEventListener("cut",this.cut.bind(this),{signal:e}),document.addEventListener("paste",this.paste.bind(this),{signal:e})}#ee(){this.#c?.abort(),this.#c=null}#ce(){const e=this._signal;document.addEventListener("dragover",this.dragOver.bind(this),{signal:e}),document.addEventListener("drop",this.drop.bind(this),{signal:e})}addEditListeners(){this.#Z(),this.#J()}removeEditListeners(){this.#le(),this.#ee()}dragOver(e){for(const{type:t}of e.dataTransfer.items)for(const n of this.#f)if(n.isHandlingMimeForPasting(t)){e.dataTransfer.dropEffect="copy",e.preventDefault();return}}drop(e){for(const t of e.dataTransfer.items)for(const n of this.#f)if(n.isHandlingMimeForPasting(t.type)){n.paste(t,this.currentLayer),e.preventDefault();return}}copy(e){if(e.preventDefault(),this.#t?.commitOrRemove(),!this.hasSelection)return;const t=[];for(const n of this.#E){const a=n.serialize(!0);a&&t.push(a)}t.length!==0&&e.clipboardData.setData("application/pdfjs",JSON.stringify(t))}cut(e){this.copy(e),this.delete()}async paste(e){e.preventDefault();const{clipboardData:t}=e;for(const i of t.items)for(const s of this.#f)if(s.isHandlingMimeForPasting(i.type)){s.paste(i,this.currentLayer);return}let n=t.getData("application/pdfjs");if(!n)return;try{n=JSON.parse(n)}catch(i){Jr(`paste: "${i.message}".`);return}if(!Array.isArray(n))return;this.unselectAll();const a=this.currentLayer;try{const i=[];for(const l of n){const c=await a.deserialize(l);if(!c)return;i.push(c)}const s=()=>{for(const l of i)this.#te(l);this.#re(i)},o=()=>{for(const l of i)l.remove()};this.addCommands({cmd:s,undo:o,mustExec:!0})}catch(i){Jr(`paste: "${i.message}".`)}}keydown(e){!this.isShiftKeyDown&&e.key==="Shift"&&(this.isShiftKeyDown=!0),this.#A!==Zr.NONE&&!this.isEditorHandlingKeyboard&&Bu._keyboardManager.exec(this,e)}keyup(e){this.isShiftKeyDown&&e.key==="Shift"&&(this.isShiftKeyDown=!1,this.#T&&(this.#T=!1,this.#K("main_toolbar")))}onEditingAction({name:e}){switch(e){case"undo":case"redo":case"delete":case"selectAll":this[e]();break;case"highlightSelection":this.highlightSelection("context_menu");break}}#I(e){Object.entries(e).some(([n,a])=>this.#Y[n]!==a)&&(this._eventBus.dispatch("annotationeditorstateschanged",{source:this,details:Object.assign(this.#Y,e)}),this.#A===Zr.HIGHLIGHT&&e.hasSelectedEditor===!1&&this.#$([[Mn.HIGHLIGHT_FREE,!0]]))}#$(e){this._eventBus.dispatch("annotationeditorparamschanged",{source:this,details:e})}setEditingState(e){e?(this.#se(),this.#J(),this.#I({isEditing:this.#A!==Zr.NONE,isEmpty:this.#W(),hasSomethingToUndo:this.#o.hasSomethingToUndo(),hasSomethingToRedo:this.#o.hasSomethingToRedo(),hasSelectedEditor:!1})):(this.#oe(),this.#ee(),this.#I({isEditing:!1}),this.disableUserSelect(!1))}registerEditorTypes(e){if(!this.#f){this.#f=e;for(const 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this.#r.values())s.annotationElementId===t||s.id===t?(this.setSelected(s),i?s.editComment():a&&s.enterInEditMode()):s.unselect();this.#L.resolve()}}addNewEditorFromKeyboard(){this.currentLayer.canCreateNewEmptyEditor()&&this.currentLayer.addNewEditor()}updateToolbar(e){e.mode!==this.#A&&this._eventBus.dispatch("switchannotationeditormode",{source:this,...e})}updateParams(e,t){if(this.#f){switch(e){case Mn.CREATE:this.currentLayer.addNewEditor(t);return;case Mn.HIGHLIGHT_SHOW_ALL:this._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data:{type:"highlight",action:"toggle_visibility"}}}),(this.#V||=new Map).set(e,t),this.showAllEditors("highlight",t);break}if(this.hasSelection)for(const n of this.#E)n.updateParams(e,t);else for(const n of this.#f)n.updateDefaultParams(e,t)}}showAllEditors(e,t,n=!1){for(const i of this.#r.values())i.editorType===e&&i.show(t);(this.#V?.get(Mn.HIGHLIGHT_SHOW_ALL)??!0)!==t&&this.#$([[Mn.HIGHLIGHT_SHOW_ALL,t]])}enableWaiting(e=!1){if(this.#R!==e){this.#R=e;for(const t of this.#n.values())e?t.disableClick():t.enableClick(),t.div.classList.toggle("waiting",e)}}async#ue(){if(!this.#O){this.#O=!0;const e=[];for(const t of this.#n.values())e.push(t.enable());await Promise.all(e);for(const t of this.#r.values())t.enable()}}#de(){if(this.unselectAll(),this.#O){this.#O=!1;for(const e of this.#n.values())e.disable();for(const e of this.#r.values())e.disable()}}getEditors(e){const t=[];for(const n of this.#r.values())n.pageIndex===e&&t.push(n);return t}getEditor(e){return this.#r.get(e)}addEditor(e){this.#r.set(e.id,e)}removeEditor(e){e.div.contains(document.activeElement)&&(this.#S&&clearTimeout(this.#S),this.#S=setTimeout(()=>{this.focusMainContainer(),this.#S=null},0)),this.#r.delete(e.id),e.annotationElementId&&this.#M?.delete(e.annotationElementId),this.unselect(e),(!e.annotationElementId||!this.#p.has(e.annotationElementId))&&this.#a?.remove(e.id)}addDeletedAnnotationElement(e){this.#p.add(e.annotationElementId),this.addChangedExistingAnnotation(e),e.deleted=!0}isDeletedAnnotationElement(e){return this.#p.has(e)}removeDeletedAnnotationElement(e){this.#p.delete(e.annotationElementId),this.removeChangedExistingAnnotation(e),e.deleted=!1}#te(e){const t=this.#n.get(e.pageIndex);t?t.addOrRebuild(e):(this.addEditor(e),this.addToAnnotationStorage(e))}setActiveEditor(e){this.#t!==e&&(this.#t=e,e&&this.#$(e.propertiesToUpdate))}get#he(){let e=null;for(e of this.#E);return e}updateUI(e){this.#he===e&&this.#$(e.propertiesToUpdate)}updateUIForDefaultProperties(e){this.#$(e.defaultPropertiesToUpdate)}toggleSelected(e){if(this.#E.has(e)){this.#E.delete(e),e.unselect(),this.#I({hasSelectedEditor:this.hasSelection});return}this.#E.add(e),e.select(),this.#$(e.propertiesToUpdate),this.#I({hasSelectedEditor:!0})}setSelected(e){this.updateToolbar({mode:e.mode,editId:e.id}),this.#d?.commitOrRemove();for(const t of this.#E)t!==e&&t.unselect();this.#E.clear(),this.#E.add(e),e.select(),this.#$(e.propertiesToUpdate),this.#I({hasSelectedEditor:!0})}isSelected(e){return this.#E.has(e)}get firstSelectedEditor(){return this.#E.values().next().value}unselect(e){e.unselect(),this.#E.delete(e),this.#I({hasSelectedEditor:this.hasSelection})}get hasSelection(){return this.#E.size!==0}get isEnterHandled(){return this.#E.size===1&&this.firstSelectedEditor.isEnterHandled}undo(){this.#o.undo(),this.#I({hasSomethingToUndo:this.#o.hasSomethingToUndo(),hasSomethingToRedo:!0,isEmpty:this.#W()}),this._editorUndoBar?.hide()}redo(){this.#o.redo(),this.#I({hasSomethingToUndo:!0,hasSomethingToRedo:this.#o.hasSomethingToRedo(),isEmpty:this.#W()})}addCommands(e){this.#o.add(e),this.#I({hasSomethingToUndo:!0,hasSomethingToRedo:!1,isEmpty:this.#W()})}cleanUndoStack(e){this.#o.cleanType(e)}#W(){if(this.#r.size===0)return!0;if(this.#r.size===1)for(const e of this.#r.values())return e.isEmpty();return!1}delete(){this.commitOrRemove();const e=this.currentLayer?.endDrawingSession(!0);if(!this.hasSelection&&!e)return;const t=e?[e]:[...this.#E],n=()=>{this._editorUndoBar?.show(a,t.length===1?t[0].editorType:t.length);for(const i of t)i.remove()},a=()=>{for(const i of t)this.#te(i)};this.addCommands({cmd:n,undo:a,mustExec:!0})}commitOrRemove(){this.#t?.commitOrRemove()}hasSomethingToControl(){return this.#t||this.hasSelection}#re(e){for(const t of this.#E)t.unselect();this.#E.clear();for(const t of e)t.isEmpty()||(this.#E.add(t),t.select());this.#I({hasSelectedEditor:this.hasSelection})}selectAll(){for(const e of this.#E)e.commit();this.#re(this.#r.values())}unselectAll(){if(!(this.#t&&(this.#t.commitOrRemove(),this.#A!==Zr.NONE))&&!this.#d?.commitOrRemove()&&this.hasSelection){for(const e of this.#E)e.unselect();this.#E.clear(),this.#I({hasSelectedEditor:!1})}}translateSelectedEditors(e,t,n=!1){if(n||this.commitOrRemove(),!this.hasSelection)return;this.#q[0]+=e,this.#q[1]+=t;const[a,i]=this.#q,s=[...this.#E],o=1e3;this.#D&&clearTimeout(this.#D),this.#D=setTimeout(()=>{this.#D=null,this.#q[0]=this.#q[1]=0,this.addCommands({cmd:()=>{for(const l of s)this.#r.has(l.id)&&(l.translateInPage(a,i),l.translationDone())},undo:()=>{for(const l of s)this.#r.has(l.id)&&(l.translateInPage(-a,-i),l.translationDone())},mustExec:!1})},o);for(const l of 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data({altText:e,decorative:t,guessedText:n,textWithDisclaimer:a,cancel:i=!1}){n&&(this.#c=n,this.#d=a),!(this.#e===e&&this.#t===t)&&(i||(this.#e=e,this.#t=t),this.#f())}toggle(e=!1){this.#r&&(!e&&this.#a&&(clearTimeout(this.#a),this.#a=null),this.#r.disabled=!e)}shown(){this.#l._reportTelemetry({action:"pdfjs.image.alt_text.image_status_label_displayed",data:{label:this.#m}})}destroy(){this.#r?.remove(),this.#r=null,this.#n=null,this.#i=null,this.#o?.remove(),this.#o=null}async#f(){const e=this.#r;if(!e)return;if(this.#u){if(e.classList.toggle("done",!!this.#e),e.setAttribute("data-l10n-id",wl.#p[this.#m]),this.#n?.setAttribute("data-l10n-id",wl.#p[`${this.#m}-label`]),!this.#e){this.#i?.remove();return}}else{if(!this.#e&&!this.#t){e.classList.remove("done"),this.#i?.remove();return}e.classList.add("done"),e.setAttribute("data-l10n-id","pdfjs-editor-alt-text-edit-button")}let 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AbortController,i=AbortSignal.any([this.#l,a.signal]),s=this.#e,o={capture:!0,signal:i,passive:!1},l=c=>{c.pointerType==="touch"&&(this.#o?.abort(),this.#o=null)};s.addEventListener("pointerdown",c=>{c.pointerType==="touch"&&(ja(c),l(c))},o),s.addEventListener("pointerup",l,o),s.addEventListener("pointercancel",l,o);return}if(!this.#u){this.#u=new AbortController;const a=AbortSignal.any([this.#l,this.#u.signal]),i=this.#e,s={signal:a,capture:!1,passive:!1};i.addEventListener("touchmove",this.#m.bind(this),s);const o=this.#f.bind(this);i.addEventListener("touchend",o,s),i.addEventListener("touchcancel",o,s),s.capture=!0,i.addEventListener("pointerdown",ja,s),i.addEventListener("pointermove",ja,s),i.addEventListener("pointercancel",ja,s),i.addEventListener("pointerup",ja,s),this.#i?.()}if(ja(e),e.touches.length!==2||this.#r?.()){this.#c=null;return}let[t,n]=e.touches;t.identifier>n.identifier&&([t,n]=[n,t]),this.#c={touch0X:t.screenX,touch0Y:t.screenY,touch1X:n.screenX,touch1Y:n.screenY}}#m(e){if(!this.#c||e.touches.length!==2)return;ja(e);let[t,n]=e.touches;t.identifier>n.identifier&&([t,n]=[n,t]);const{screenX:a,screenY:i}=t,{screenX:s,screenY:o}=n,l=this.#c,{touch0X:c,touch0Y:u,touch1X:d,touch1Y:h}=l,p=d-c,m=h-u,g=s-a,b=o-i,_=Math.hypot(g,b)||1,v=Math.hypot(p,m)||1;if(!this.#t&&Math.abs(v-_)<=hy.MIN_TOUCH_DISTANCE_TO_PINCH)return;if(l.touch0X=a,l.touch0Y=i,l.touch1X=s,l.touch1Y=o,!this.#t){this.#t=!0;return}const y=[(a+s)/2,(i+o)/2];this.#a?.(y,v,_)}#f(e){e.touches.length>=2||(this.#u&&(this.#u.abort(),this.#u=null,this.#s?.()),this.#c&&(ja(e),this.#c=null,this.#t=!1))}destroy(){this.#d?.abort(),this.#d=null,this.#o?.abort(),this.#o=null}}class Fr{#e=null;#t=null;#r=null;#n=null;#i=!1;#a=null;#s="";#o=!1;#l=null;#c=null;#d=null;#u=null;#p="";#m=!1;#f=null;#h=!1;#g=!1;#v=!1;#_=null;#y=0;#S=0;#b=null;#w=null;isSelected=!1;_isCopy=!1;_editToolbar=null;_initialOptions=Object.create(null);_initialData=null;_isVisible=!0;_uiManager=null;_focusEventsAllowed=!0;static _l10n=null;static _l10nResizer=null;#T=!1;#C=Fr._zIndex++;static _borderLineWidth=-1;static _colorManager=new gx;static _zIndex=1;static _telemetryTimeout=1e3;static get _resizerKeyboardManager(){const e=Fr.prototype._resizeWithKeyboard,t=Bu.TRANSLATE_SMALL,n=Bu.TRANSLATE_BIG;return bn(this,"_resizerKeyboardManager",new Tg([[["ArrowLeft","mac+ArrowLeft"],e,{args:[-t,0]}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],e,{args:[-n,0]}],[["ArrowRight","mac+ArrowRight"],e,{args:[t,0]}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],e,{args:[n,0]}],[["ArrowUp","mac+ArrowUp"],e,{args:[0,-t]}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],e,{args:[0,-n]}],[["ArrowDown","mac+ArrowDown"],e,{args:[0,t]}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],e,{args:[0,n]}],[["Escape","mac+Escape"],Fr.prototype._stopResizingWithKeyboard]]))}constructor(e){this.parent=e.parent,this.id=e.id,this.width=this.height=null,this.pageIndex=e.parent.pageIndex,this.name=e.name,this.div=null,this._uiManager=e.uiManager,this.annotationElementId=null,this._willKeepAspectRatio=!1,this._initialOptions.isCentered=e.isCentered,this._structTreeParentId=null,this.annotationElementId=e.annotationElementId||null;const{rotation:t,rawDims:{pageWidth:n,pageHeight:a,pageX:i,pageY:s}}=this.parent.viewport;this.rotation=t,this.pageRotation=(360+t-this._uiManager.viewParameters.rotation)%360,this.pageDimensions=[n,a],this.pageTranslation=[i,s];const[o,l]=this.parentDimensions;this.x=e.x/o,this.y=e.y/l,this.isAttachedToDOM=!1,this.deleted=!1}get editorType(){return Object.getPrototypeOf(this).constructor._type}get mode(){return Object.getPrototypeOf(this).constructor._editorType}static get isDrawer(){return!1}static get _defaultLineColor(){return bn(this,"_defaultLineColor",this._colorManager.getHexCode("CanvasText"))}static deleteAnnotationElement(e){const t=new vve({id:e.parent.getNextId(),parent:e.parent,uiManager:e._uiManager});t.annotationElementId=e.annotationElementId,t.deleted=!0,t._uiManager.addToAnnotationStorage(t)}static initialize(e,t){if(Fr._l10n??=e,Fr._l10nResizer||=Object.freeze({topLeft:"pdfjs-editor-resizer-top-left",topMiddle:"pdfjs-editor-resizer-top-middle",topRight:"pdfjs-editor-resizer-top-right",middleRight:"pdfjs-editor-resizer-middle-right",bottomRight:"pdfjs-editor-resizer-bottom-right",bottomMiddle:"pdfjs-editor-resizer-bottom-middle",bottomLeft:"pdfjs-editor-resizer-bottom-left",middleLeft:"pdfjs-editor-resizer-middle-left"}),Fr._borderLineWidth!==-1)return;const n=getComputedStyle(document.documentElement);Fr._borderLineWidth=parseFloat(n.getPropertyValue("--outline-width"))||0}static updateDefaultParams(e,t){}static get defaultPropertiesToUpdate(){return[]}static isHandlingMimeForPasting(e){return!1}static paste(e,t){Zn("Not implemented")}get propertiesToUpdate(){return[]}get _isDraggable(){return this.#T}set _isDraggable(e){this.#T=e,this.div?.classList.toggle("draggable",e)}get isEnterHandled(){return!0}center(){const[e,t]=this.pageDimensions;switch(this.parentRotation){case 90:this.x-=this.height*t/(e*2),this.y+=this.width*e/(t*2);break;case 180:this.x+=this.width/2,this.y+=this.height/2;break;case 270:this.x+=this.height*t/(e*2),this.y-=this.width*e/(t*2);break;default:this.x-=this.width/2,this.y-=this.height/2;break}this.fixAndSetPosition()}addCommands(e){this._uiManager.addCommands(e)}get currentLayer(){return this._uiManager.currentLayer}setInBackground(){this.div.style.zIndex=0}setInForeground(){this.div.style.zIndex=this.#C}setParent(e){e!==null?(this.pageIndex=e.pageIndex,this.pageDimensions=e.pageDimensions):this.#H(),this.parent=e}focusin(e){this._focusEventsAllowed&&(this.#m?this.#m=!1:this.parent.setSelected(this))}focusout(e){!this._focusEventsAllowed||!this.isAttachedToDOM||e.relatedTarget?.closest(`#${this.id}`)||(e.preventDefault(),this.parent?.isMultipleSelection||this.commitOrRemove())}commitOrRemove(){this.isEmpty()?this.remove():this.commit()}commit(){this.isInEditMode()&&this.addToAnnotationStorage()}addToAnnotationStorage(){this._uiManager.addToAnnotationStorage(this)}setAt(e,t,n,a){const[i,s]=this.parentDimensions;[n,a]=this.screenToPageTranslation(n,a),this.x=(e+n)/i,this.y=(t+a)/s,this.fixAndSetPosition()}_moveAfterPaste(e,t){const[n,a]=this.parentDimensions;this.setAt(e*n,t*a,this.width*n,this.height*a),this._onTranslated()}#N([e,t],n,a){[n,a]=this.screenToPageTranslation(n,a),this.x+=n/e,this.y+=a/t,this._onTranslating(this.x,this.y),this.fixAndSetPosition()}translate(e,t){this.#N(this.parentDimensions,e,t)}translateInPage(e,t){this.#f||=[this.x,this.y,this.width,this.height],this.#N(this.pageDimensions,e,t),this.div.scrollIntoView({block:"nearest"})}translationDone(){this._onTranslated(this.x,this.y)}drag(e,t){this.#f||=[this.x,this.y,this.width,this.height];const{div:n,parentDimensions:[a,i]}=this;if(this.x+=e/a,this.y+=t/i,this.parent&&(this.x<0||this.x>1||this.y<0||this.y>1)){const{x:d,y:h}=this.div.getBoundingClientRect();this.parent.findNewParent(this,d,h)&&(this.x-=Math.floor(this.x),this.y-=Math.floor(this.y))}let{x:s,y:o}=this;const[l,c]=this.getBaseTranslation();s+=l,o+=c;const{style:u}=n;u.left=`${(100*s).toFixed(2)}%`,u.top=`${(100*o).toFixed(2)}%`,this._onTranslating(s,o),n.scrollIntoView({block:"nearest"})}_onTranslating(e,t){}_onTranslated(e,t){}get _hasBeenMoved(){return!!this.#f&&(this.#f[0]!==this.x||this.#f[1]!==this.y)}get _hasBeenResized(){return!!this.#f&&(this.#f[2]!==this.width||this.#f[3]!==this.height)}getBaseTranslation(){const[e,t]=this.parentDimensions,{_borderLineWidth:n}=Fr,a=n/e,i=n/t;switch(this.rotation){case 90:return[-a,i];case 180:return[a,i];case 270:return[a,-i];default:return[-a,-i]}}get _mustFixPosition(){return!0}fixAndSetPosition(e=this.rotation){const{div:{style:t},pageDimensions:[n,a]}=this;let{x:i,y:s,width:o,height:l}=this;if(o*=n,l*=a,i*=n,s*=a,this._mustFixPosition)switch(e){case 0:i=ts(i,0,n-o),s=ts(s,0,a-l);break;case 90:i=ts(i,0,n-l),s=ts(s,o,a);break;case 180:i=ts(i,o,n),s=ts(s,l,a);break;case 270:i=ts(i,l,n),s=ts(s,0,a-o);break}this.x=i/=n,this.y=s/=a;const[c,u]=this.getBaseTranslation();i+=c,s+=u,t.left=`${(100*i).toFixed(2)}%`,t.top=`${(100*s).toFixed(2)}%`,this.moveInDOM()}static#O(e,t,n){switch(n){case 90:return[t,-e];case 180:return[-e,-t];case 270:return[-t,e];default:return[e,t]}}screenToPageTranslation(e,t){return Fr.#O(e,t,this.parentRotation)}pageTranslationToScreen(e,t){return Fr.#O(e,t,360-this.parentRotation)}#R(e){switch(e){case 90:{const[t,n]=this.pageDimensions;return[0,-t/n,n/t,0]}case 180:return[-1,0,0,-1];case 270:{const[t,n]=this.pageDimensions;return[0,t/n,-n/t,0]}default:return[1,0,0,1]}}get parentScale(){return this._uiManager.viewParameters.realScale}get parentRotation(){return(this._uiManager.viewParameters.rotation+this.pageRotation)%360}get parentDimensions(){const{parentScale:e,pageDimensions:[t,n]}=this;return[t*e,n*e]}setDims(e,t){const[n,a]=this.parentDimensions,{style:i}=this.div;i.width=`${(100*e/n).toFixed(2)}%`,this.#o||(i.height=`${(100*t/a).toFixed(2)}%`)}fixDims(){const{style:e}=this.div,{height:t,width:n}=e,a=n.endsWith("%"),i=!this.#o&&t.endsWith("%");if(a&&i)return;const[s,o]=this.parentDimensions;a||(e.width=`${(100*parseFloat(n)/s).toFixed(2)}%`),!this.#o&&!i&&(e.height=`${(100*parseFloat(t)/o).toFixed(2)}%`)}getInitialTranslation(){return[0,0]}#x(){if(this.#l)return;this.#l=document.createElement("div"),this.#l.classList.add("resizers");const e=this._willKeepAspectRatio?["topLeft","topRight","bottomRight","bottomLeft"]:["topLeft","topMiddle","topRight","middleRight","bottomRight","bottomMiddle","bottomLeft","middleLeft"],t=this._uiManager._signal;for(const n of e){const a=document.createElement("div");this.#l.append(a),a.classList.add("resizer",n),a.setAttribute("data-resizer-name",n),a.addEventListener("pointerdown",this.#k.bind(this,n),{signal:t}),a.addEventListener("contextmenu",ko,{signal:t}),a.tabIndex=-1}this.div.prepend(this.#l)}#k(e,t){t.preventDefault();const{isMac:n}=Mi.platform;if(t.button!==0||t.ctrlKey&&n)return;this.#r?.toggle(!1);const a=this._isDraggable;this._isDraggable=!1,this.#c=[t.screenX,t.screenY];const i=new AbortController,s=this._uiManager.combinedSignal(i);this.parent.togglePointerEvents(!1),window.addEventListener("pointermove",this.#G.bind(this,e),{passive:!0,capture:!0,signal:s}),window.addEventListener("touchmove",ja,{passive:!1,signal:s}),window.addEventListener("contextmenu",ko,{signal:s}),this.#d={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height};const o=this.parent.div.style.cursor,l=this.div.style.cursor;this.div.style.cursor=this.parent.div.style.cursor=window.getComputedStyle(t.target).cursor;const c=()=>{i.abort(),this.parent.togglePointerEvents(!0),this.#r?.toggle(!0),this._isDraggable=a,this.parent.div.style.cursor=o,this.div.style.cursor=l,this.#M()};window.addEventListener("pointerup",c,{signal:s}),window.addEventListener("blur",c,{signal:s})}#F(e,t,n,a){this.width=n,this.height=a,this.x=e,this.y=t;const[i,s]=this.parentDimensions;this.setDims(i*n,s*a),this.fixAndSetPosition(),this._onResized()}_onResized(){}#M(){if(!this.#d)return;const{savedX:e,savedY:t,savedWidth:n,savedHeight:a}=this.#d;this.#d=null;const i=this.x,s=this.y,o=this.width,l=this.height;i===e&&s===t&&o===n&&l===a||this.addCommands({cmd:this.#F.bind(this,i,s,o,l),undo:this.#F.bind(this,e,t,n,a),mustExec:!0})}static _round(e){return Math.round(e*1e4)/1e4}#G(e,t){const[n,a]=this.parentDimensions,i=this.x,s=this.y,o=this.width,l=this.height,c=Fr.MIN_SIZE/n,u=Fr.MIN_SIZE/a,d=this.#R(this.rotation),h=(z,re)=>[d[0]*z+d[2]*re,d[1]*z+d[3]*re],p=this.#R(360-this.rotation),m=(z,re)=>[p[0]*z+p[2]*re,p[1]*z+p[3]*re];let g,b,_=!1,v=!1;switch(e){case"topLeft":_=!0,g=(z,re)=>[0,0],b=(z,re)=>[z,re];break;case"topMiddle":g=(z,re)=>[z/2,0],b=(z,re)=>[z/2,re];break;case"topRight":_=!0,g=(z,re)=>[z,0],b=(z,re)=>[0,re];break;case"middleRight":v=!0,g=(z,re)=>[z,re/2],b=(z,re)=>[0,re/2];break;case"bottomRight":_=!0,g=(z,re)=>[z,re],b=(z,re)=>[0,0];break;case"bottomMiddle":g=(z,re)=>[z/2,re],b=(z,re)=>[z/2,0];break;case"bottomLeft":_=!0,g=(z,re)=>[0,re],b=(z,re)=>[z,0];break;case"middleLeft":v=!0,g=(z,re)=>[0,re/2],b=(z,re)=>[z,re/2];break}const y=g(o,l),E=b(o,l);let S=h(...E);const w=Fr._round(i+S[0]),C=Fr._round(s+S[1]);let x=1,N=1,I,D;if(t.fromKeyboard)({deltaX:I,deltaY:D}=t);else{const{screenX:z,screenY:re}=t,[W,ie]=this.#c;[I,D]=this.screenToPageTranslation(z-W,re-ie),this.#c[0]=z,this.#c[1]=re}if([I,D]=m(I/n,D/a),_){const z=Math.hypot(o,l);x=N=Math.max(Math.min(Math.hypot(E[0]-y[0]-I,E[1]-y[1]-D)/z,1/o,1/l),c/o,u/l)}else v?x=ts(Math.abs(E[0]-y[0]-I),c,1)/o:N=ts(Math.abs(E[1]-y[1]-D),u,1)/l;const V=Fr._round(o*x),q=Fr._round(l*N);S=h(...b(V,q));const $=w-S[0],K=C-S[1];this.#f||=[this.x,this.y,this.width,this.height],this.width=V,this.height=q,this.x=$,this.y=K,this.setDims(n*V,a*q),this.fixAndSetPosition(),this._onResizing()}_onResizing(){}altTextFinish(){this.#r?.finish()}get toolbarButtons(){return null}async addEditToolbar(){if(this._editToolbar||this.#g)return this._editToolbar;this._editToolbar=new lm(this),this.div.append(this._editToolbar.render()),this._editToolbar.addButton("comment",this.addCommentButton());const{toolbarButtons:e}=this;if(e)for(const[t,n]of e)await this._editToolbar.addButton(t,n);return this._editToolbar.addButton("delete"),this._editToolbar}removeEditToolbar(){this._editToolbar&&(this._editToolbar.remove(),this._editToolbar=null,this.#r?.destroy())}addContainer(e){const t=this._editToolbar?.div;t?t.before(e):this.div.append(e)}getClientDimensions(){return this.div.getBoundingClientRect()}createAltText(){return this.#r||(wl.initialize(Fr._l10n),this.#r=new wl(this),this.#e&&(this.#r.data=this.#e,this.#e=null)),this.#r}get altTextData(){return this.#r?.data}set altTextData(e){this.#r&&(this.#r.data=e)}get guessedAltText(){return this.#r?.guessedText}async setGuessedAltText(e){await this.#r?.setGuessedText(e)}serializeAltText(e){return this.#r?.serialize(e)}hasAltText(){return!!this.#r&&!this.#r.isEmpty()}hasAltTextData(){return this.#r?.hasData()??!1}addCommentButton(){return this.#n?this.#n:this.#n=new G1(this)}get commentColor(){return null}get comment(){const e=this.#n;return{text:e.data.text,date:e.data.date,deleted:e.isDeleted(),color:this.commentColor}}set comment(e){this.#n||(this.#n=new G1(this)),this.#n.data=e}setCommentData(e){this.#n||(this.#n=new G1(this)),this.#n.setInitialText(e)}get hasEditedComment(){return this.#n?.hasBeenEdited()}async editComment(){this.#n||(this.#n=new G1(this)),this.#n.edit()}addComment(e){this.hasEditedComment&&(e.popup={contents:this.comment.text,deleted:this.comment.deleted})}render(){const e=this.div=document.createElement("div");e.setAttribute("data-editor-rotation",(360-this.rotation)%360),e.className=this.name,e.setAttribute("id",this.id),e.tabIndex=this.#i?-1:0,e.setAttribute("role","application"),this.defaultL10nId&&e.setAttribute("data-l10n-id",this.defaultL10nId),this._isVisible||e.classList.add("hidden"),this.setInForeground(),this.#V();const[t,n]=this.parentDimensions;this.parentRotation%180!==0&&(e.style.maxWidth=`${(100*n/t).toFixed(2)}%`,e.style.maxHeight=`${(100*t/n).toFixed(2)}%`);const[a,i]=this.getInitialTranslation();return this.translate(a,i),fz(this,e,["keydown","pointerdown","dblclick"]),this.isResizable&&this._uiManager._supportsPinchToZoom&&(this.#w||=new hy({container:e,isPinchingDisabled:()=>!this.isSelected,onPinchStart:this.#A.bind(this),onPinching:this.#E.bind(this),onPinchEnd:this.#B.bind(this),signal:this._uiManager._signal})),this._uiManager._editorUndoBar?.hide(),e}#A(){this.#d={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height},this.#r?.toggle(!1),this.parent.togglePointerEvents(!1)}#E(e,t,n){let i=.7*(n/t)+1-.7;if(i===1)return;const s=this.#R(this.rotation),o=(w,C)=>[s[0]*w+s[2]*C,s[1]*w+s[3]*C],[l,c]=this.parentDimensions,u=this.x,d=this.y,h=this.width,p=this.height,m=Fr.MIN_SIZE/l,g=Fr.MIN_SIZE/c;i=Math.max(Math.min(i,1/h,1/p),m/h,g/p);const b=Fr._round(h*i),_=Fr._round(p*i);if(b===h&&_===p)return;this.#f||=[u,d,h,p];const v=o(h/2,p/2),y=Fr._round(u+v[0]),E=Fr._round(d+v[1]),S=o(b/2,_/2);this.x=y-S[0],this.y=E-S[1],this.width=b,this.height=_,this.setDims(l*b,c*_),this.fixAndSetPosition(),this._onResizing()}#B(){this.#r?.toggle(!0),this.parent.togglePointerEvents(!0),this.#M()}pointerdown(e){const{isMac:t}=Mi.platform;if(e.button!==0||e.ctrlKey&&t){e.preventDefault();return}if(this.#m=!0,this._isDraggable){this.#z(e);return}this.#U(e)}#U(e){const{isMac:t}=Mi.platform;e.ctrlKey&&!t||e.shiftKey||e.metaKey&&t?this.parent.toggleSelected(this):this.parent.setSelected(this)}#z(e){const{isSelected:t}=this;this._uiManager.setUpDragSession();let n=!1;const a=new AbortController,i=this._uiManager.combinedSignal(a),s={capture:!0,passive:!1,signal:i},o=c=>{a.abort(),this.#a=null,this.#m=!1,this._uiManager.endDragSession()||this.#U(c),n&&this._onStopDragging()};t&&(this.#y=e.clientX,this.#S=e.clientY,this.#a=e.pointerId,this.#s=e.pointerType,window.addEventListener("pointermove",c=>{n||(n=!0,this._onStartDragging());const{clientX:u,clientY:d,pointerId:h}=c;if(h!==this.#a){ja(c);return}const[p,m]=this.screenToPageTranslation(u-this.#y,d-this.#S);this.#y=u,this.#S=d,this._uiManager.dragSelectedEditors(p,m)},s),window.addEventListener("touchmove",ja,s),window.addEventListener("pointerdown",c=>{c.pointerType===this.#s&&(this.#w||c.isPrimary)&&o(c),ja(c)},s));const l=c=>{if(!this.#a||this.#a===c.pointerId){o(c);return}ja(c)};window.addEventListener("pointerup",l,{signal:i}),window.addEventListener("blur",l,{signal:i})}_onStartDragging(){}_onStopDragging(){}moveInDOM(){this.#_&&clearTimeout(this.#_),this.#_=setTimeout(()=>{this.#_=null,this.parent?.moveEditorInDOM(this)},0)}_setParentAndPosition(e,t,n){e.changeParent(this),this.x=t,this.y=n,this.fixAndSetPosition(),this._onTranslated()}getRect(e,t,n=this.rotation){const a=this.parentScale,[i,s]=this.pageDimensions,[o,l]=this.pageTranslation,c=e/a,u=t/a,d=this.x*i,h=this.y*s,p=this.width*i,m=this.height*s;switch(n){case 0:return[d+c+o,s-h-u-m+l,d+c+p+o,s-h-u+l];case 90:return[d+u+o,s-h+c+l,d+u+m+o,s-h+c+p+l];case 180:return[d-c-p+o,s-h+u+l,d-c+o,s-h+u+m+l];case 270:return[d-u-m+o,s-h-c-p+l,d-u+o,s-h-c+l];default:throw new Error("Invalid rotation")}}getRectInCurrentCoords(e,t){const[n,a,i,s]=e,o=i-n,l=s-a;switch(this.rotation){case 0:return[n,t-s,o,l];case 90:return[n,t-a,l,o];case 180:return[i,t-a,o,l];case 270:return[i,t-s,l,o];default:throw new Error("Invalid rotation")}}onceAdded(e){}isEmpty(){return!1}enableEditMode(){return this.isInEditMode()?!1:(this.parent.setEditingState(!1),this.#g=!0,!0)}disableEditMode(){return this.isInEditMode()?(this.parent.setEditingState(!0),this.#g=!1,!0):!1}isInEditMode(){return this.#g}shouldGetKeyboardEvents(){return this.#v}needsToBeRebuilt(){return this.div&&!this.isAttachedToDOM}get isOnScreen(){const{top:e,left:t,bottom:n,right:a}=this.getClientDimensions(),{innerHeight:i,innerWidth:s}=window;return t<s&&a>0&&e<i&&n>0}#V(){if(this.#u||!this.div)return;this.#u=new AbortController;const e=this._uiManager.combinedSignal(this.#u);this.div.addEventListener("focusin",this.focusin.bind(this),{signal:e}),this.div.addEventListener("focusout",this.focusout.bind(this),{signal:e})}rebuild(){this.#V()}rotate(e){}resize(){}serializeDeleted(){return{id:this.annotationElementId,deleted:!0,pageIndex:this.pageIndex,popupRef:this._initialData?.popupRef||""}}serialize(e=!1,t=null){Zn("An editor must be serializable")}static async deserialize(e,t,n){const a=new this.prototype.constructor({parent:t,id:t.getNextId(),uiManager:n,annotationElementId:e.annotationElementId});a.rotation=e.rotation,a.#e=e.accessibilityData,a._isCopy=e.isCopy||!1;const[i,s]=a.pageDimensions,[o,l,c,u]=a.getRectInCurrentCoords(e.rect,s);return a.x=o/i,a.y=l/s,a.width=c/i,a.height=u/s,a}get hasBeenModified(){return!!this.annotationElementId&&(this.deleted||this.serialize()!==null)}remove(){if(this.#u?.abort(),this.#u=null,this.isEmpty()||this.commit(),this.parent?this.parent.remove(this):this._uiManager.removeEditor(this),this.#_&&(clearTimeout(this.#_),this.#_=null),this.#H(),this.removeEditToolbar(),this.#b){for(const e of this.#b.values())clearTimeout(e);this.#b=null}this.parent=null,this.#w?.destroy(),this.#w=null}get isResizable(){return!1}makeResizable(){this.isResizable&&(this.#x(),this.#l.classList.remove("hidden"))}get toolbarPosition(){return null}keydown(e){if(!this.isResizable||e.target!==this.div||e.key!=="Enter")return;this._uiManager.setSelected(this),this.#d={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height};const t=this.#l.children;if(!this.#t){this.#t=Array.from(t);const s=this.#Y.bind(this),o=this.#q.bind(this),l=this._uiManager._signal;for(const c of this.#t){const u=c.getAttribute("data-resizer-name");c.setAttribute("role","spinbutton"),c.addEventListener("keydown",s,{signal:l}),c.addEventListener("blur",o,{signal:l}),c.addEventListener("focus",this.#D.bind(this,u),{signal:l}),c.setAttribute("data-l10n-id",Fr._l10nResizer[u])}}const n=this.#t[0];let a=0;for(const s of t){if(s===n)break;a++}const i=(360-this.rotation+this.parentRotation)%360/90*(this.#t.length/4);if(i!==a){if(i<a)for(let o=0;o<a-i;o++)this.#l.append(this.#l.firstChild);else if(i>a)for(let o=0;o<i-a;o++)this.#l.firstChild.before(this.#l.lastChild);let s=0;for(const o of t){const c=this.#t[s++].getAttribute("data-resizer-name");o.setAttribute("data-l10n-id",Fr._l10nResizer[c])}}this.#P(0),this.#v=!0,this.#l.firstChild.focus({focusVisible:!0}),e.preventDefault(),e.stopImmediatePropagation()}#Y(e){Fr._resizerKeyboardManager.exec(this,e)}#q(e){this.#v&&e.relatedTarget?.parentNode!==this.#l&&this.#H()}#D(e){this.#p=this.#v?e:""}#P(e){if(this.#t)for(const t of this.#t)t.tabIndex=e}_resizeWithKeyboard(e,t){this.#v&&this.#G(this.#p,{deltaX:e,deltaY:t,fromKeyboard:!0})}#H(){this.#v=!1,this.#P(-1),this.#M()}_stopResizingWithKeyboard(){this.#H(),this.div.focus()}select(){if(!(this.isSelected&&this._editToolbar)){if(this.isSelected=!0,this.makeResizable(),this.div?.classList.add("selectedEditor"),!this._editToolbar){this.addEditToolbar().then(()=>{this.div?.classList.contains("selectedEditor")&&this._editToolbar?.show()});return}this._editToolbar?.show(),this.#r?.toggleAltTextBadge(!1)}}unselect(){this.isSelected&&(this.isSelected=!1,this.#l?.classList.add("hidden"),this.div?.classList.remove("selectedEditor"),this.div?.contains(document.activeElement)&&this._uiManager.currentLayer.div.focus({preventScroll:!0}),this._editToolbar?.hide(),this.#r?.toggleAltTextBadge(!0))}updateParams(e,t){}disableEditing(){}enableEditing(){}get canChangeContent(){return!1}enterInEditMode(){this.canChangeContent&&(this.enableEditMode(),this.div.focus())}dblclick(e){this.enterInEditMode(),this.parent.updateToolbar({mode:this.constructor._editorType,editId:this.id})}getElementForAltText(){return this.div}get contentDiv(){return this.div}get isEditing(){return this.#h}set isEditing(e){this.#h=e,this.parent&&(e?(this.parent.setSelected(this),this.parent.setActiveEditor(this)):this.parent.setActiveEditor(null))}setAspectRatio(e,t){this.#o=!0;const n=e/t,{style:a}=this.div;a.aspectRatio=n,a.height="auto"}static get MIN_SIZE(){return 16}static canCreateNewEmptyEditor(){return!0}get telemetryInitialData(){return{action:"added"}}get telemetryFinalData(){return null}_reportTelemetry(e,t=!1){if(t){this.#b||=new Map;const{action:n}=e;let a=this.#b.get(n);a&&clearTimeout(a),a=setTimeout(()=>{this._reportTelemetry(e),this.#b.delete(n),this.#b.size===0&&(this.#b=null)},Fr._telemetryTimeout),this.#b.set(n,a);return}e.type||=this.editorType,this._uiManager._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data:e}})}show(e=this._isVisible){this.div.classList.toggle("hidden",!e),this._isVisible=e}enable(){this.div&&(this.div.tabIndex=0),this.#i=!1}disable(){this.div&&(this.div.tabIndex=-1),this.#i=!0}renderAnnotationElement(e){let t=e.container.querySelector(".annotationContent");if(!t)t=document.createElement("div"),t.classList.add("annotationContent",this.editorType),e.container.prepend(t);else if(t.nodeName==="CANVAS"){const n=t;t=document.createElement("div"),t.classList.add("annotationContent",this.editorType),n.before(t)}return t}resetAnnotationElement(e){const{firstChild:t}=e.container;t?.nodeName==="DIV"&&t.classList.contains("annotationContent")&&t.remove()}}class vve extends Fr{constructor(e){super(e),this.annotationElementId=e.annotationElementId,this.deleted=!0}serialize(){return this.serializeDeleted()}}const SD=3285377520,yo=4294901760,bl=65535;class pz{constructor(e){this.h1=e?e&4294967295:SD,this.h2=e?e&4294967295:SD}update(e){let t,n;if(typeof e=="string"){t=new Uint8Array(e.length*2),n=0;for(let g=0,b=e.length;g<b;g++){const _=e.charCodeAt(g);_<=255?t[n++]=_:(t[n++]=_>>>8,t[n++]=_&255)}}else if(ArrayBuffer.isView(e))t=e.slice(),n=t.byteLength;else throw new Error("Invalid data format, must be a string or TypedArray.");const a=n>>2,i=n-a*4,s=new Uint32Array(t.buffer,0,a);let o=0,l=0,c=this.h1,u=this.h2;const d=3432918353,h=461845907,p=d&bl,m=h&bl;for(let g=0;g<a;g++)g&1?(o=s[g],o=o*d&yo|o*p&bl,o=o<<15|o>>>17,o=o*h&yo|o*m&bl,c^=o,c=c<<13|c>>>19,c=c*5+3864292196):(l=s[g],l=l*d&yo|l*p&bl,l=l<<15|l>>>17,l=l*h&yo|l*m&bl,u^=l,u=u<<13|u>>>19,u=u*5+3864292196);switch(o=0,i){case 3:o^=t[a*4+2]<<16;case 2:o^=t[a*4+1]<<8;case 1:o^=t[a*4],o=o*d&yo|o*p&bl,o=o<<15|o>>>17,o=o*h&yo|o*m&bl,a&1?c^=o:u^=o}this.h1=c,this.h2=u}hexdigest(){let e=this.h1,t=this.h2;return e^=t>>>1,e=e*3981806797&yo|e*36045&bl,t=t*4283543511&yo|((t<<16|e>>>16)*2950163797&yo)>>>16,e^=t>>>1,e=e*444984403&yo|e*60499&bl,t=t*3301882366&yo|((t<<16|e>>>16)*3120437893&yo)>>>16,e^=t>>>1,(e>>>0).toString(16).padStart(8,"0")+(t>>>0).toString(16).padStart(8,"0")}}const aA=Object.freeze({map:null,hash:"",transfer:void 0});class _x{#e=!1;#t=null;#r=new Map;constructor(){this.onSetModified=null,this.onResetModified=null,this.onAnnotationEditor=null}getValue(e,t){const n=this.#r.get(e);return n===void 0?t:Object.assign(t,n)}getRawValue(e){return this.#r.get(e)}remove(e){if(this.#r.delete(e),this.#r.size===0&&this.resetModified(),typeof this.onAnnotationEditor=="function"){for(const t of this.#r.values())if(t instanceof Fr)return;this.onAnnotationEditor(null)}}setValue(e,t){const n=this.#r.get(e);let a=!1;if(n!==void 0)for(const[i,s]of Object.entries(t))n[i]!==s&&(a=!0,n[i]=s);else a=!0,this.#r.set(e,t);a&&this.#n(),t instanceof Fr&&typeof this.onAnnotationEditor=="function"&&this.onAnnotationEditor(t.constructor._type)}has(e){return this.#r.has(e)}get size(){return this.#r.size}#n(){this.#e||(this.#e=!0,typeof this.onSetModified=="function"&&this.onSetModified())}resetModified(){this.#e&&(this.#e=!1,typeof this.onResetModified=="function"&&this.onResetModified())}get print(){return new mz(this)}get serializable(){if(this.#r.size===0)return aA;const e=new Map,t=new pz,n=[],a=Object.create(null);let i=!1;for(const[s,o]of this.#r){const l=o instanceof Fr?o.serialize(!1,a):o;l&&(e.set(s,l),t.update(`${s}:${JSON.stringify(l)}`),i||=!!l.bitmap)}if(i)for(const s of e.values())s.bitmap&&n.push(s.bitmap);return e.size>0?{map:e,hash:t.hexdigest(),transfer:n}:aA}get editorStats(){let e=null;const t=new Map;for(const n of this.#r.values()){if(!(n instanceof Fr))continue;const a=n.telemetryFinalData;if(!a)continue;const{type:i}=a;t.has(i)||t.set(i,Object.getPrototypeOf(n).constructor),e||=Object.create(null);const s=e[i]||=new Map;for(const[o,l]of Object.entries(a)){if(o==="type")continue;let c=s.get(o);c||(c=new Map,s.set(o,c));const u=c.get(l)??0;c.set(l,u+1)}}for(const[n,a]of t)e[n]=a.computeTelemetryFinalData(e[n]);return e}resetModifiedIds(){this.#t=null}get modifiedIds(){if(this.#t)return this.#t;const e=[];for(const t of this.#r.values())!(t instanceof Fr)||!t.annotationElementId||!t.serialize()||e.push(t.annotationElementId);return this.#t={ids:new Set(e),hash:e.join(",")}}[Symbol.iterator](){return this.#r.entries()}}class mz extends _x{#e;constructor(e){super();const{map:t,hash:n,transfer:a}=e.serializable,i=structuredClone(t,a?{transfer:a}:null);this.#e={map:i,hash:n,transfer:a}}get print(){Zn("Should not call PrintAnnotationStorage.print")}get serializable(){return this.#e}get modifiedIds(){return bn(this,"modifiedIds",{ids:new Set,hash:""})}}class yve{#e=new Set;constructor({ownerDocument:e=globalThis.document,styleElement:t=null}){this._document=e,this.nativeFontFaces=new Set,this.styleElement=null,this.loadingRequests=[],this.loadTestFontId=0}addNativeFontFace(e){this.nativeFontFaces.add(e),this._document.fonts.add(e)}removeNativeFontFace(e){this.nativeFontFaces.delete(e),this._document.fonts.delete(e)}insertRule(e){this.styleElement||(this.styleElement=this._document.createElement("style"),this._document.documentElement.getElementsByTagName("head")[0].append(this.styleElement));const t=this.styleElement.sheet;t.insertRule(e,t.cssRules.length)}clear(){for(const e of this.nativeFontFaces)this._document.fonts.delete(e);this.nativeFontFaces.clear(),this.#e.clear(),this.styleElement&&(this.styleElement.remove(),this.styleElement=null)}async loadSystemFont({systemFontInfo:e,disableFontFace:t,_inspectFont:n}){if(!(!e||this.#e.has(e.loadedName))){if(Xa(!t,"loadSystemFont shouldn't be called when `disableFontFace` is set."),this.isFontLoadingAPISupported){const{loadedName:a,src:i,style:s}=e,o=new FontFace(a,i,s);this.addNativeFontFace(o);try{await o.load(),this.#e.add(a),n?.(e)}catch{Jr(`Cannot load system font: ${e.baseFontName}, installing it could help to improve PDF rendering.`),this.removeNativeFontFace(o)}return}Zn("Not implemented: loadSystemFont without the Font Loading API.")}}async bind(e){if(e.attached||e.missingFile&&!e.systemFontInfo)return;if(e.attached=!0,e.systemFontInfo){await this.loadSystemFont(e);return}if(this.isFontLoadingAPISupported){const n=e.createNativeFontFace();if(n){this.addNativeFontFace(n);try{await n.loaded}catch(a){throw Jr(`Failed to load font '${n.family}': '${a}'.`),e.disableFontFace=!0,a}}return}const t=e.createFontFaceRule();if(t){if(this.insertRule(t),this.isSyncFontLoadingSupported)return;await new Promise(n=>{const a=this._queueLoadingCallback(n);this._prepareFontLoadEvent(e,a)})}}get isFontLoadingAPISupported(){const e=!!this._document?.fonts;return bn(this,"isFontLoadingAPISupported",e)}get isSyncFontLoadingSupported(){return bn(this,"isSyncFontLoadingSupported",es||Mi.platform.isFirefox)}_queueLoadingCallback(e){function t(){for(Xa(!a.done,"completeRequest() cannot be called twice."),a.done=!0;n.length>0&&n[0].done;){const i=n.shift();setTimeout(i.callback,0)}}const{loadingRequests:n}=this,a={done:!1,complete:t,callback:e};return n.push(a),a}get _loadTestFont(){const e=atob("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");return bn(this,"_loadTestFont",e)}_prepareFontLoadEvent(e,t){function n(E,S){return E.charCodeAt(S)<<24|E.charCodeAt(S+1)<<16|E.charCodeAt(S+2)<<8|E.charCodeAt(S+3)&255}function a(E,S,w,C){const x=E.substring(0,S),N=E.substring(S+w);return x+C+N}let i,s;const o=this._document.createElement("canvas");o.width=1,o.height=1;const l=o.getContext("2d");let c=0;function u(E,S){if(++c>30){Jr("Load test font never loaded."),S();return}if(l.font="30px "+E,l.fillText(".",0,20),l.getImageData(0,0,1,1).data[3]>0){S();return}setTimeout(u.bind(null,E,S))}const d=`lt${Date.now()}${this.loadTestFontId++}`;let h=this._loadTestFont;h=a(h,976,d.length,d);const m=16,g=1482184792;let b=n(h,m);for(i=0,s=d.length-3;i<s;i+=4)b=b-g+n(d,i)|0;i<d.length&&(b=b-g+n(d+"XXX",i)|0),h=a(h,m,4,ave(b));const _=`url(data:font/opentype;base64,${btoa(h)});`,v=`@font-face {font-family:"${d}";src:${_}}`;this.insertRule(v);const y=this._document.createElement("div");y.style.visibility="hidden",y.style.width=y.style.height="10px",y.style.position="absolute",y.style.top=y.style.left="0px";for(const E of[e.loadedName,d]){const S=this._document.createElement("span");S.textContent="Hi",S.style.fontFamily=E,y.append(S)}this._document.body.append(y),u(d,()=>{y.remove(),t.complete()})}}class Sve{constructor(e,t=null){this.compiledGlyphs=Object.create(null);for(const n in e)this[n]=e[n];this._inspectFont=t}createNativeFontFace(){if(!this.data||this.disableFontFace)return null;let e;if(!this.cssFontInfo)e=new FontFace(this.loadedName,this.data,{});else{const t={weight:this.cssFontInfo.fontWeight};this.cssFontInfo.italicAngle&&(t.style=`oblique ${this.cssFontInfo.italicAngle}deg`),e=new FontFace(this.cssFontInfo.fontFamily,this.data,t)}return this._inspectFont?.(this),e}createFontFaceRule(){if(!this.data||this.disableFontFace)return null;const e=`url(data:${this.mimetype};base64,${hz(this.data)});`;let t;if(!this.cssFontInfo)t=`@font-face {font-family:"${this.loadedName}";src:${e}}`;else{let n=`font-weight: ${this.cssFontInfo.fontWeight};`;this.cssFontInfo.italicAngle&&(n+=`font-style: oblique ${this.cssFontInfo.italicAngle}deg;`),t=`@font-face {font-family:"${this.cssFontInfo.fontFamily}";${n}src:${e}}`}return this._inspectFont?.(this,e),t}getPathGenerator(e,t){if(this.compiledGlyphs[t]!==void 0)return this.compiledGlyphs[t];const n=this.loadedName+"_path_"+t;let a;try{a=e.get(n)}catch(s){Jr(`getPathGenerator - ignoring character: "${s}".`)}const i=new Path2D(a||"");return this.fontExtraProperties||e.delete(n),this.compiledGlyphs[t]=i}}function Eve(r){if(r instanceof URL)return r.href;if(typeof r=="string"){if(es)return r;const e=URL.parse(r,window.location);if(e)return e.href}throw new Error("Invalid PDF url data: either string or URL-object is expected in the url property.")}function wve(r){if(es&&typeof Buffer<"u"&&r instanceof Buffer)throw new Error("Please provide binary data as `Uint8Array`, rather than `Buffer`.");if(r instanceof Uint8Array&&r.byteLength===r.buffer.byteLength)return r;if(typeof r=="string")return Sg(r);if(r instanceof ArrayBuffer||ArrayBuffer.isView(r)||typeof r=="object"&&!isNaN(r?.length))return new Uint8Array(r);throw new Error("Invalid PDF binary data: either TypedArray, string, or array-like object is expected in the data property.")}function z1(r){if(typeof r!="string")return null;if(r.endsWith("/"))return r;throw new Error(`Invalid factory url: "${r}" must include trailing slash.`)}const iA=r=>typeof r=="object"&&Number.isInteger(r?.num)&&r.num>=0&&Number.isInteger(r?.gen)&&r.gen>=0,Tve=r=>typeof r=="object"&&typeof r?.name=="string",Cve=cve.bind(null,iA,Tve);class Ave{#e=new Map;#t=Promise.resolve();postMessage(e,t){const n={data:structuredClone(e,t?{transfer:t}:null)};this.#t.then(()=>{for(const[a]of this.#e)a.call(this,n)})}addEventListener(e,t,n=null){let a=null;if(n?.signal instanceof AbortSignal){const{signal:i}=n;if(i.aborted){Jr("LoopbackPort - cannot use an `aborted` signal.");return}const s=()=>this.removeEventListener(e,t);a=()=>i.removeEventListener("abort",s),i.addEventListener("abort",s)}this.#e.set(t,a)}removeEventListener(e,t){this.#e.get(t)?.(),this.#e.delete(t)}terminate(){for(const[,e]of this.#e)e?.();this.#e.clear()}}const q1={DATA:1,ERROR:2},qa={CANCEL:1,CANCEL_COMPLETE:2,CLOSE:3,ENQUEUE:4,ERROR:5,PULL:6,PULL_COMPLETE:7,START_COMPLETE:8};function ED(){}function ys(r){if(r instanceof Fu||r instanceof tA||r instanceof bD||r instanceof Mb||r instanceof kT)return r;switch(r instanceof Error||typeof r=="object"&&r!==null||Zn('wrapReason: Expected "reason" to be a (possibly cloned) Error.'),r.name){case"AbortException":return new Fu(r.message);case"InvalidPDFException":return new tA(r.message);case"PasswordException":return new bD(r.message,r.code);case"ResponseException":return new Mb(r.message,r.status,r.missing);case"UnknownErrorException":return new 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s=t.current.getClippedPathBoundingBox(a,wa(e))||[0,0,0,0],o=Math.ceil(s[2]-s[0])||1,l=Math.ceil(s[3]-s[1])||1,c=t.cachedCanvases.getCanvas("pattern",o,l),u=c.context;u.clearRect(0,0,u.canvas.width,u.canvas.height),u.beginPath(),u.rect(0,0,u.canvas.width,u.canvas.height),u.translate(-s[0],-s[1]),n=Dr.transform(n,[1,0,0,1,s[0],s[1]]),u.transform(...t.baseTransform),this.matrix&&u.transform(...this.matrix),sA(u,this._bbox),u.fillStyle=this._createGradient(u),u.fill(),i=e.createPattern(c.canvas,"no-repeat");const d=new DOMMatrix(n);i.setTransform(d)}else sA(e,this._bbox),i=this._createGradient(e);return i}}function PT(r,e,t,n,a,i,s,o){const l=e.coords,c=e.colors,u=r.data,d=r.width*4;let h;l[t+1]>l[n+1]&&(h=t,t=n,n=h,h=i,i=s,s=h),l[n+1]>l[a+1]&&(h=n,n=a,a=h,h=s,s=o,o=h),l[t+1]>l[n+1]&&(h=t,t=n,n=h,h=i,i=s,s=h);const p=(l[t]+e.offsetX)*e.scaleX,m=(l[t+1]+e.offsetY)*e.scaleY,g=(l[n]+e.offsetX)*e.scaleX,b=(l[n+1]+e.offsetY)*e.scaleY,_=(l[a]+e.offsetX)*e.scaleX,v=(l[a+1]+e.offsetY)*e.scaleY;if(m>=v)return;const y=c[i],E=c[i+1],S=c[i+2],w=c[s],C=c[s+1],x=c[s+2],N=c[o],I=c[o+1],D=c[o+2],V=Math.round(m),q=Math.round(v);let $,K,z,re,W,ie,k,B;for(let te=V;te<=q;te++){if(te<b){const ne=te<m?0:(m-te)/(m-b);$=p-(p-g)*ne,K=y-(y-w)*ne,z=E-(E-C)*ne,re=S-(S-x)*ne}else{let ne;te>v?ne=1:b===v?ne=0:ne=(b-te)/(b-v),$=g-(g-_)*ne,K=w-(w-N)*ne,z=C-(C-I)*ne,re=x-(x-D)*ne}let O;te<m?O=0:te>v?O=1:O=(m-te)/(m-v),W=p-(p-_)*O,ie=y-(y-N)*O,k=E-(E-I)*O,B=S-(S-D)*O;const R=Math.round(Math.min($,W)),U=Math.round(Math.max($,W));let Q=d*te+R*4;for(let ne=R;ne<=U;ne++)O=($-ne)/($-W),O<0?O=0:O>1&&(O=1),u[Q++]=K-(K-ie)*O|0,u[Q++]=z-(z-k)*O|0,u[Q++]=re-(re-B)*O|0,u[Q++]=255}}function Pve(r,e,t){const n=e.coords,a=e.colors;let i,s;switch(e.type){case"lattice":const o=e.verticesPerRow,l=Math.floor(n.length/o)-1,c=o-1;for(i=0;i<l;i++){let u=i*o;for(let d=0;d<c;d++,u++)PT(r,t,n[u],n[u+1],n[u+o],a[u],a[u+1],a[u+o]),PT(r,t,n[u+o+1],n[u+1],n[u+o],a[u+o+1],a[u+1],a[u+o])}break;case"triangles":for(i=0,s=n.length;i<s;i+=3)PT(r,t,n[i],n[i+1],n[i+2],a[i],a[i+1],a[i+2]);break;default:throw new Error("illegal figure")}}class Lve extends vx{constructor(e){super(),this._coords=e[2],this._colors=e[3],this._figures=e[4],this._bounds=e[5],this._bbox=e[6],this._background=e[7],this.matrix=null}_createMeshCanvas(e,t,n){const o=Math.floor(this._bounds[0]),l=Math.floor(this._bounds[1]),c=Math.ceil(this._bounds[2])-o,u=Math.ceil(this._bounds[3])-l,d=Math.min(Math.ceil(Math.abs(c*e[0]*1.1)),3e3),h=Math.min(Math.ceil(Math.abs(u*e[1]*1.1)),3e3),p=c/d,m=u/h,g={coords:this._coords,colors:this._colors,offsetX:-o,offsetY:-l,scaleX:1/p,scaleY:1/m},b=d+4,_=h+4,v=n.getCanvas("mesh",b,_),y=v.context,E=y.createImageData(d,h);if(t){const w=E.data;for(let C=0,x=w.length;C<x;C+=4)w[C]=t[0],w[C+1]=t[1],w[C+2]=t[2],w[C+3]=255}for(const w of this._figures)Pve(E,w,g);return y.putImageData(E,2,2),{canvas:v.canvas,offsetX:o-2*p,offsetY:l-2*m,scaleX:p,scaleY:m}}isModifyingCurrentTransform(){return!0}getPattern(e,t,n,a){sA(e,this._bbox);const i=new Float32Array(2);if(a===Ai.SHADING)Dr.singularValueDecompose2dScale(wa(e),i);else if(this.matrix){Dr.singularValueDecompose2dScale(this.matrix,i);const[o,l]=i;Dr.singularValueDecompose2dScale(t.baseTransform,i),i[0]*=o,i[1]*=l}else Dr.singularValueDecompose2dScale(t.baseTransform,i);const s=this._createMeshCanvas(i,a===Ai.SHADING?null:this._background,t.cachedCanvases);return a!==Ai.SHADING&&(e.setTransform(...t.baseTransform),this.matrix&&e.transform(...this.matrix)),e.translate(s.offsetX,s.offsetY),e.scale(s.scaleX,s.scaleY),e.createPattern(s.canvas,"no-repeat")}}class Fve extends vx{getPattern(){return"hotpink"}}function Bve(r){switch(r[0]){case"RadialAxial":return new Dve(r);case"Mesh":return new Lve(r);case"Dummy":return new Fve}throw new Error(`Unknown IR type: ${r[0]}`)}const AD={COLORED:1,UNCOLORED:2};class yx{static MAX_PATTERN_SIZE=3e3;constructor(e,t,n,a){this.color=e[1],this.operatorList=e[2],this.matrix=e[3],this.bbox=e[4],this.xstep=e[5],this.ystep=e[6],this.paintType=e[7],this.tilingType=e[8],this.ctx=t,this.canvasGraphicsFactory=n,this.baseTransform=a}createPatternCanvas(e){const{bbox:t,operatorList:n,paintType:a,tilingType:i,color:s,canvasGraphicsFactory:o}=this;let{xstep:l,ystep:c}=this;l=Math.abs(l),c=Math.abs(c),cy("TilingType: "+i);const u=t[0],d=t[1],h=t[2],p=t[3],m=h-u,g=p-d,b=new Float32Array(2);Dr.singularValueDecompose2dScale(this.matrix,b);const[_,v]=b;Dr.singularValueDecompose2dScale(this.baseTransform,b);const y=_*b[0],E=v*b[1];let S=m,w=g,C=!1,x=!1;const N=Math.ceil(l*y),I=Math.ceil(c*E),D=Math.ceil(m*y),V=Math.ceil(g*E);N>=D?S=l:C=!0,I>=V?w=c:x=!0;const q=this.getSizeAndScale(S,this.ctx.canvas.width,y),$=this.getSizeAndScale(w,this.ctx.canvas.height,E),K=e.cachedCanvases.getCanvas("pattern",q.size,$.size),z=K.context,re=o.createCanvasGraphics(z);if(re.groupLevel=e.groupLevel,this.setFillAndStrokeStyleToContext(re,a,s),z.translate(-q.scale*u,-$.scale*d),re.transform(q.scale,0,0,$.scale,0,0),z.save(),this.clipBbox(re,u,d,h,p),re.baseTransform=wa(re.ctx),re.executeOperatorList(n),re.endDrawing(),z.restore(),C||x){const W=K.canvas;C&&(S=l),x&&(w=c);const ie=this.getSizeAndScale(S,this.ctx.canvas.width,y),k=this.getSizeAndScale(w,this.ctx.canvas.height,E),B=ie.size,te=k.size,O=e.cachedCanvases.getCanvas("pattern-workaround",B,te),R=O.context,U=C?Math.floor(m/l):0,Q=x?Math.floor(g/c):0;for(let ne=0;ne<=U;ne++)for(let ue=0;ue<=Q;ue++)R.drawImage(W,B*ne,te*ue,B,te,0,0,B,te);return{canvas:O.canvas,scaleX:ie.scale,scaleY:k.scale,offsetX:u,offsetY:d}}return{canvas:K.canvas,scaleX:q.scale,scaleY:$.scale,offsetX:u,offsetY:d}}getSizeAndScale(e,t,n){const a=Math.max(yx.MAX_PATTERN_SIZE,t);let i=Math.ceil(e*n);return i>=a?i=a:n=i/e,{scale:n,size:i}}clipBbox(e,t,n,a,i){const s=a-t,o=i-n;e.ctx.rect(t,n,s,o),Dr.axialAlignedBoundingBox([t,n,a,i],wa(e.ctx),e.current.minMax),e.clip(),e.endPath()}setFillAndStrokeStyleToContext(e,t,n){const a=e.ctx,i=e.current;switch(t){case AD.COLORED:const{fillStyle:s,strokeStyle:o}=this.ctx;a.fillStyle=i.fillColor=s,a.strokeStyle=i.strokeColor=o;break;case AD.UNCOLORED:a.fillStyle=a.strokeStyle=n,i.fillColor=i.strokeColor=n;break;default:throw new nve(`Unsupported paint type: ${t}`)}}isModifyingCurrentTransform(){return!1}getPattern(e,t,n,a){let i=n;a!==Ai.SHADING&&(i=Dr.transform(i,t.baseTransform),this.matrix&&(i=Dr.transform(i,this.matrix)));const s=this.createPatternCanvas(t);let o=new DOMMatrix(i);o=o.translate(s.offsetX,s.offsetY),o=o.scale(1/s.scaleX,1/s.scaleY);const l=e.createPattern(s.canvas,"repeat");return l.setTransform(o),l}}function Uve({src:r,srcPos:e=0,dest:t,width:n,height:a,nonBlackColor:i=4294967295,inverseDecode:s=!1}){const o=Mi.isLittleEndian?4278190080:255,[l,c]=s?[i,o]:[o,i],u=n>>3,d=n&7,h=r.length;t=new Uint32Array(t.buffer);let p=0;for(let m=0;m<a;m++){for(const b=e+u;e<b;e++){const _=e<h?r[e]:255;t[p++]=_&128?c:l,t[p++]=_&64?c:l,t[p++]=_&32?c:l,t[p++]=_&16?c:l,t[p++]=_&8?c:l,t[p++]=_&4?c:l,t[p++]=_&2?c:l,t[p++]=_&1?c:l}if(d===0)continue;const g=e<h?r[e++]:255;for(let b=0;b<d;b++)t[p++]=g&1<<7-b?c:l}return{srcPos:e,destPos:p}}const xD=16,RD=100,$ve=15,OD=10,ws=16,LT=new DOMMatrix,Ys=new Float32Array(2),Jh=new Float32Array([1/0,1/0,-1/0,-1/0]);function Gve(r,e){if(r._removeMirroring)throw new Error("Context is already forwarding operations.");r.__originalSave=r.save,r.__originalRestore=r.restore,r.__originalRotate=r.rotate,r.__originalScale=r.scale,r.__originalTranslate=r.translate,r.__originalTransform=r.transform,r.__originalSetTransform=r.setTransform,r.__originalResetTransform=r.resetTransform,r.__originalClip=r.clip,r.__originalMoveTo=r.moveTo,r.__originalLineTo=r.lineTo,r.__originalBezierCurveTo=r.bezierCurveTo,r.__originalRect=r.rect,r.__originalClosePath=r.closePath,r.__originalBeginPath=r.beginPath,r._removeMirroring=()=>{r.save=r.__originalSave,r.restore=r.__originalRestore,r.rotate=r.__originalRotate,r.scale=r.__originalScale,r.translate=r.__originalTranslate,r.transform=r.__originalTransform,r.setTransform=r.__originalSetTransform,r.resetTransform=r.__originalResetTransform,r.clip=r.__originalClip,r.moveTo=r.__originalMoveTo,r.lineTo=r.__originalLineTo,r.bezierCurveTo=r.__originalBezierCurveTo,r.rect=r.__originalRect,r.closePath=r.__originalClosePath,r.beginPath=r.__originalBeginPath,delete r._removeMirroring},r.save=function(){e.save(),this.__originalSave()},r.restore=function(){e.restore(),this.__originalRestore()},r.translate=function(t,n){e.translate(t,n),this.__originalTranslate(t,n)},r.scale=function(t,n){e.scale(t,n),this.__originalScale(t,n)},r.transform=function(t,n,a,i,s,o){e.transform(t,n,a,i,s,o),this.__originalTransform(t,n,a,i,s,o)},r.setTransform=function(t,n,a,i,s,o){e.setTransform(t,n,a,i,s,o),this.__originalSetTransform(t,n,a,i,s,o)},r.resetTransform=function(){e.resetTransform(),this.__originalResetTransform()},r.rotate=function(t){e.rotate(t),this.__originalRotate(t)},r.clip=function(t){e.clip(t),this.__originalClip(t)},r.moveTo=function(t,n){e.moveTo(t,n),this.__originalMoveTo(t,n)},r.lineTo=function(t,n){e.lineTo(t,n),this.__originalLineTo(t,n)},r.bezierCurveTo=function(t,n,a,i,s,o){e.bezierCurveTo(t,n,a,i,s,o),this.__originalBezierCurveTo(t,n,a,i,s,o)},r.rect=function(t,n,a,i){e.rect(t,n,a,i),this.__originalRect(t,n,a,i)},r.closePath=function(){e.closePath(),this.__originalClosePath()},r.beginPath=function(){e.beginPath(),this.__originalBeginPath()}}class zve{constructor(e){this.canvasFactory=e,this.cache=Object.create(null)}getCanvas(e,t,n){let a;return this.cache[e]!==void 0?(a=this.cache[e],this.canvasFactory.reset(a,t,n)):(a=this.canvasFactory.create(t,n),this.cache[e]=a),a}delete(e){delete this.cache[e]}clear(){for(const e in this.cache){const t=this.cache[e];this.canvasFactory.destroy(t),delete this.cache[e]}}}function H1(r,e,t,n,a,i,s,o,l,c){const[u,d,h,p,m,g]=wa(r);if(d===0&&h===0){const v=s*u+m,y=Math.round(v),E=o*p+g,S=Math.round(E),w=(s+l)*u+m,C=Math.abs(Math.round(w)-y)||1,x=(o+c)*p+g,N=Math.abs(Math.round(x)-S)||1;return r.setTransform(Math.sign(u),0,0,Math.sign(p),y,S),r.drawImage(e,t,n,a,i,0,0,C,N),r.setTransform(u,d,h,p,m,g),[C,N]}if(u===0&&p===0){const v=o*h+m,y=Math.round(v),E=s*d+g,S=Math.round(E),w=(o+c)*h+m,C=Math.abs(Math.round(w)-y)||1,x=(s+l)*d+g,N=Math.abs(Math.round(x)-S)||1;return r.setTransform(0,Math.sign(d),Math.sign(h),0,y,S),r.drawImage(e,t,n,a,i,0,0,N,C),r.setTransform(u,d,h,p,m,g),[N,C]}r.drawImage(e,t,n,a,i,s,o,l,c);const b=Math.hypot(u,d),_=Math.hypot(h,p);return[b*l,_*c]}class ND{alphaIsShape=!1;fontSize=0;fontSizeScale=1;textMatrix=null;textMatrixScale=1;fontMatrix=eA;leading=0;x=0;y=0;lineX=0;lineY=0;charSpacing=0;wordSpacing=0;textHScale=1;textRenderingMode=$i.FILL;textRise=0;fillColor="#000000";strokeColor="#000000";patternFill=!1;patternStroke=!1;fillAlpha=1;strokeAlpha=1;lineWidth=1;activeSMask=null;transferMaps="none";constructor(e,t){this.clipBox=new Float32Array([0,0,e,t]),this.minMax=Jh.slice()}clone(){const e=Object.create(this);return e.clipBox=this.clipBox.slice(),e.minMax=this.minMax.slice(),e}getPathBoundingBox(e=Ai.FILL,t=null){const n=this.minMax.slice();if(e===Ai.STROKE){t||Zn("Stroke bounding box must include transform."),Dr.singularValueDecompose2dScale(t,Ys);const a=Ys[0]*this.lineWidth/2,i=Ys[1]*this.lineWidth/2;n[0]-=a,n[1]-=i,n[2]+=a,n[3]+=i}return n}updateClipFromPath(){const e=Dr.intersect(this.clipBox,this.getPathBoundingBox());this.startNewPathAndClipBox(e||[0,0,0,0])}isEmptyClip(){return this.minMax[0]===1/0}startNewPathAndClipBox(e){this.clipBox.set(e,0),this.minMax.set(Jh,0)}getClippedPathBoundingBox(e=Ai.FILL,t=null){return Dr.intersect(this.clipBox,this.getPathBoundingBox(e,t))}}function ID(r,e){if(e instanceof ImageData){r.putImageData(e,0,0);return}const t=e.height,n=e.width,a=t%ws,i=(t-a)/ws,s=a===0?i:i+1,o=r.createImageData(n,ws);let l=0,c;const u=e.data,d=o.data;let h,p,m,g;if(e.kind===A_.GRAYSCALE_1BPP){const b=u.byteLength,_=new Uint32Array(d.buffer,0,d.byteLength>>2),v=_.length,y=n+7>>3,E=4294967295,S=Mi.isLittleEndian?4278190080:255;for(h=0;h<s;h++){for(m=h<i?ws:a,c=0,p=0;p<m;p++){const w=b-l;let C=0;const x=w>y?n:w*8-7,N=x&-8;let I=0,D=0;for(;C<N;C+=8)D=u[l++],_[c++]=D&128?E:S,_[c++]=D&64?E:S,_[c++]=D&32?E:S,_[c++]=D&16?E:S,_[c++]=D&8?E:S,_[c++]=D&4?E:S,_[c++]=D&2?E:S,_[c++]=D&1?E:S;for(;C<x;C++)I===0&&(D=u[l++],I=128),_[c++]=D&I?E:S,I>>=1}for(;c<v;)_[c++]=0;r.putImageData(o,0,h*ws)}}else if(e.kind===A_.RGBA_32BPP){for(p=0,g=n*ws*4,h=0;h<i;h++)d.set(u.subarray(l,l+g)),l+=g,r.putImageData(o,0,p),p+=ws;h<s&&(g=n*a*4,d.set(u.subarray(l,l+g)),r.putImageData(o,0,p))}else if(e.kind===A_.RGB_24BPP)for(m=ws,g=n*m,h=0;h<s;h++){for(h>=i&&(m=a,g=n*m),c=0,p=g;p--;)d[c++]=u[l++],d[c++]=u[l++],d[c++]=u[l++],d[c++]=255;r.putImageData(o,0,h*ws)}else throw new Error(`bad image kind: ${e.kind}`)}function kD(r,e){if(e.bitmap){r.drawImage(e.bitmap,0,0);return}const t=e.height,n=e.width,a=t%ws,i=(t-a)/ws,s=a===0?i:i+1,o=r.createImageData(n,ws);let l=0;const c=e.data,u=o.data;for(let d=0;d<s;d++){const h=d<i?ws:a;({srcPos:l}=Uve({src:c,srcPos:l,dest:u,width:n,height:h,nonBlackColor:0})),r.putImageData(o,0,d*ws)}}function kp(r,e){const t=["strokeStyle","fillStyle","fillRule","globalAlpha","lineWidth","lineCap","lineJoin","miterLimit","globalCompositeOperation","font","filter"];for(const n of t)r[n]!==void 0&&(e[n]=r[n]);r.setLineDash!==void 0&&(e.setLineDash(r.getLineDash()),e.lineDashOffset=r.lineDashOffset)}function V1(r){r.strokeStyle=r.fillStyle="#000000",r.fillRule="nonzero",r.globalAlpha=1,r.lineWidth=1,r.lineCap="butt",r.lineJoin="miter",r.miterLimit=10,r.globalCompositeOperation="source-over",r.font="10px sans-serif",r.setLineDash!==void 0&&(r.setLineDash([]),r.lineDashOffset=0);const{filter:e}=r;e!=="none"&&e!==""&&(r.filter="none")}function MD(r,e){if(e)return!0;Dr.singularValueDecompose2dScale(r,Ys);const t=Math.fround(zl.pixelRatio*Uf.PDF_TO_CSS_UNITS);return Ys[0]<=t&&Ys[1]<=t}const qve=["butt","round","square"],Hve=["miter","round","bevel"],Vve={},DD={};class pf{constructor(e,t,n,a,i,{optionalContentConfig:s,markedContentStack:o=null},l,c){this.ctx=e,this.current=new ND(this.ctx.canvas.width,this.ctx.canvas.height),this.stateStack=[],this.pendingClip=null,this.pendingEOFill=!1,this.res=null,this.xobjs=null,this.commonObjs=t,this.objs=n,this.canvasFactory=a,this.filterFactory=i,this.groupStack=[],this.baseTransform=null,this.baseTransformStack=[],this.groupLevel=0,this.smaskStack=[],this.smaskCounter=0,this.tempSMask=null,this.suspendedCtx=null,this.contentVisible=!0,this.markedContentStack=o||[],this.optionalContentConfig=s,this.cachedCanvases=new zve(this.canvasFactory),this.cachedPatterns=new Map,this.annotationCanvasMap=l,this.viewportScale=1,this.outputScaleX=1,this.outputScaleY=1,this.pageColors=c,this._cachedScaleForStroking=[-1,0],this._cachedGetSinglePixelWidth=null,this._cachedBitmapsMap=new Map}getObject(e,t=null){return typeof e=="string"?e.startsWith("g_")?this.commonObjs.get(e):this.objs.get(e):t}beginDrawing({transform:e,viewport:t,transparency:n=!1,background:a=null}){const i=this.ctx.canvas.width,s=this.ctx.canvas.height,o=this.ctx.fillStyle;if(this.ctx.fillStyle=a||"#ffffff",this.ctx.fillRect(0,0,i,s),this.ctx.fillStyle=o,n){const l=this.cachedCanvases.getCanvas("transparent",i,s);this.compositeCtx=this.ctx,this.transparentCanvas=l.canvas,this.ctx=l.context,this.ctx.save(),this.ctx.transform(...wa(this.compositeCtx))}this.ctx.save(),V1(this.ctx),e&&(this.ctx.transform(...e),this.outputScaleX=e[0],this.outputScaleY=e[0]),this.ctx.transform(...t.transform),this.viewportScale=t.scale,this.baseTransform=wa(this.ctx)}executeOperatorList(e,t,n,a){const i=e.argsArray,s=e.fnArray;let o=t||0;const l=i.length;if(l===o)return o;const c=l-o>OD&&typeof n=="function",u=c?Date.now()+$ve:0;let d=0;const h=this.commonObjs,p=this.objs;let m;for(;;){if(a!==void 0&&o===a.nextBreakPoint)return a.breakIt(o,n),o;if(m=s[o],m!==kb.dependency)this[m].apply(this,i[o]);else for(const g of i[o]){const b=g.startsWith("g_")?h:p;if(!b.has(g))return b.get(g,n),o}if(o++,o===l)return o;if(c&&++d>OD){if(Date.now()>u)return n(),o;d=0}}}#e(){for(;this.stateStack.length||this.inSMaskMode;)this.restore();this.current.activeSMask=null,this.ctx.restore(),this.transparentCanvas&&(this.ctx=this.compositeCtx,this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.drawImage(this.transparentCanvas,0,0),this.ctx.restore(),this.transparentCanvas=null)}endDrawing(){this.#e(),this.cachedCanvases.clear(),this.cachedPatterns.clear();for(const e of this._cachedBitmapsMap.values()){for(const t of e.values())typeof HTMLCanvasElement<"u"&&t instanceof HTMLCanvasElement&&(t.width=t.height=0);e.clear()}this._cachedBitmapsMap.clear(),this.#t()}#t(){if(this.pageColors){const e=this.filterFactory.addHCMFilter(this.pageColors.foreground,this.pageColors.background);if(e!=="none"){const t=this.ctx.filter;this.ctx.filter=e,this.ctx.drawImage(this.ctx.canvas,0,0),this.ctx.filter=t}}}_scaleImage(e,t){const n=e.width??e.displayWidth,a=e.height??e.displayHeight;let i=Math.max(Math.hypot(t[0],t[1]),1),s=Math.max(Math.hypot(t[2],t[3]),1),o=n,l=a,c="prescale1",u,d;for(;i>2&&o>1||s>2&&l>1;){let h=o,p=l;i>2&&o>1&&(h=o>=16384?Math.floor(o/2)-1||1:Math.ceil(o/2),i/=o/h),s>2&&l>1&&(p=l>=16384?Math.floor(l/2)-1||1:Math.ceil(l)/2,s/=l/p),u=this.cachedCanvases.getCanvas(c,h,p),d=u.context,d.clearRect(0,0,h,p),d.drawImage(e,0,0,o,l,0,0,h,p),e=u.canvas,o=h,l=p,c=c==="prescale1"?"prescale2":"prescale1"}return{img:e,paintWidth:o,paintHeight:l}}_createMaskCanvas(e){const t=this.ctx,{width:n,height:a}=e,i=this.current.fillColor,s=this.current.patternFill,o=wa(t);let l,c,u,d;if((e.bitmap||e.data)&&e.count>1){const N=e.bitmap||e.data.buffer;c=JSON.stringify(s?o:[o.slice(0,4),i]),l=this._cachedBitmapsMap.get(N),l||(l=new Map,this._cachedBitmapsMap.set(N,l));const I=l.get(c);if(I&&!s){const D=Math.round(Math.min(o[0],o[2])+o[4]),V=Math.round(Math.min(o[1],o[3])+o[5]);return{canvas:I,offsetX:D,offsetY:V}}u=I}u||(d=this.cachedCanvases.getCanvas("maskCanvas",n,a),kD(d.context,e));let h=Dr.transform(o,[1/n,0,0,-1/a,0,0]);h=Dr.transform(h,[1,0,0,1,0,-a]);const p=Jh.slice();Dr.axialAlignedBoundingBox([0,0,n,a],h,p);const[m,g,b,_]=p,v=Math.round(b-m)||1,y=Math.round(_-g)||1,E=this.cachedCanvases.getCanvas("fillCanvas",v,y),S=E.context,w=m,C=g;S.translate(-w,-C),S.transform(...h),u||(u=this._scaleImage(d.canvas,_l(S)),u=u.img,l&&s&&l.set(c,u)),S.imageSmoothingEnabled=MD(wa(S),e.interpolate),H1(S,u,0,0,u.width,u.height,0,0,n,a),S.globalCompositeOperation="source-in";const x=Dr.transform(_l(S),[1,0,0,1,-w,-C]);return S.fillStyle=s?i.getPattern(t,this,x,Ai.FILL):i,S.fillRect(0,0,n,a),l&&!s&&(this.cachedCanvases.delete("fillCanvas"),l.set(c,E.canvas)),{canvas:E.canvas,offsetX:Math.round(w),offsetY:Math.round(C)}}setLineWidth(e){e!==this.current.lineWidth&&(this._cachedScaleForStroking[0]=-1),this.current.lineWidth=e,this.ctx.lineWidth=e}setLineCap(e){this.ctx.lineCap=qve[e]}setLineJoin(e){this.ctx.lineJoin=Hve[e]}setMiterLimit(e){this.ctx.miterLimit=e}setDash(e,t){const n=this.ctx;n.setLineDash!==void 0&&(n.setLineDash(e),n.lineDashOffset=t)}setRenderingIntent(e){}setFlatness(e){}setGState(e){for(const[t,n]of e)switch(t){case"LW":this.setLineWidth(n);break;case"LC":this.setLineCap(n);break;case"LJ":this.setLineJoin(n);break;case"ML":this.setMiterLimit(n);break;case"D":this.setDash(n[0],n[1]);break;case"RI":this.setRenderingIntent(n);break;case"FL":this.setFlatness(n);break;case"Font":this.setFont(n[0],n[1]);break;case"CA":this.current.strokeAlpha=n;break;case"ca":this.ctx.globalAlpha=this.current.fillAlpha=n;break;case"BM":this.ctx.globalCompositeOperation=n;break;case"SMask":this.current.activeSMask=n?this.tempSMask:null,this.tempSMask=null,this.checkSMaskState();break;case"TR":this.ctx.filter=this.current.transferMaps=this.filterFactory.addFilter(n);break}}get inSMaskMode(){return!!this.suspendedCtx}checkSMaskState(){const e=this.inSMaskMode;this.current.activeSMask&&!e?this.beginSMaskMode():!this.current.activeSMask&&e&&this.endSMaskMode()}beginSMaskMode(){if(this.inSMaskMode)throw new Error("beginSMaskMode called while already in smask mode");const e=this.ctx.canvas.width,t=this.ctx.canvas.height,n="smaskGroupAt"+this.groupLevel,a=this.cachedCanvases.getCanvas(n,e,t);this.suspendedCtx=this.ctx;const i=this.ctx=a.context;i.setTransform(this.suspendedCtx.getTransform()),kp(this.suspendedCtx,i),Gve(i,this.suspendedCtx),this.setGState([["BM","source-over"]])}endSMaskMode(){if(!this.inSMaskMode)throw new Error("endSMaskMode called while not in smask mode");this.ctx._removeMirroring(),kp(this.ctx,this.suspendedCtx),this.ctx=this.suspendedCtx,this.suspendedCtx=null}compose(e){if(!this.current.activeSMask)return;e?(e[0]=Math.floor(e[0]),e[1]=Math.floor(e[1]),e[2]=Math.ceil(e[2]),e[3]=Math.ceil(e[3])):e=[0,0,this.ctx.canvas.width,this.ctx.canvas.height];const t=this.current.activeSMask,n=this.suspendedCtx;this.composeSMask(n,t,this.ctx,e),this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.clearRect(0,0,this.ctx.canvas.width,this.ctx.canvas.height),this.ctx.restore()}composeSMask(e,t,n,a){const i=a[0],s=a[1],o=a[2]-i,l=a[3]-s;o===0||l===0||(this.genericComposeSMask(t.context,n,o,l,t.subtype,t.backdrop,t.transferMap,i,s,t.offsetX,t.offsetY),e.save(),e.globalAlpha=1,e.globalCompositeOperation="source-over",e.setTransform(1,0,0,1,0,0),e.drawImage(n.canvas,0,0),e.restore())}genericComposeSMask(e,t,n,a,i,s,o,l,c,u,d){let h=e.canvas,p=l-u,m=c-d;if(s)if(p<0||m<0||p+n>h.width||m+a>h.height){const b=this.cachedCanvases.getCanvas("maskExtension",n,a),_=b.context;_.drawImage(h,-p,-m),_.globalCompositeOperation="destination-atop",_.fillStyle=s,_.fillRect(0,0,n,a),_.globalCompositeOperation="source-over",h=b.canvas,p=m=0}else{e.save(),e.globalAlpha=1,e.setTransform(1,0,0,1,0,0);const b=new Path2D;b.rect(p,m,n,a),e.clip(b),e.globalCompositeOperation="destination-atop",e.fillStyle=s,e.fillRect(p,m,n,a),e.restore()}t.save(),t.globalAlpha=1,t.setTransform(1,0,0,1,0,0),i==="Alpha"&&o?t.filter=this.filterFactory.addAlphaFilter(o):i==="Luminosity"&&(t.filter=this.filterFactory.addLuminosityFilter(o));const g=new Path2D;g.rect(l,c,n,a),t.clip(g),t.globalCompositeOperation="destination-in",t.drawImage(h,p,m,n,a,l,c,n,a),t.restore()}save(){this.inSMaskMode&&kp(this.ctx,this.suspendedCtx),this.ctx.save();const e=this.current;this.stateStack.push(e),this.current=e.clone()}restore(){if(this.stateStack.length===0){this.inSMaskMode&&this.endSMaskMode();return}this.current=this.stateStack.pop(),this.ctx.restore(),this.inSMaskMode&&kp(this.suspendedCtx,this.ctx),this.checkSMaskState(),this.pendingClip=null,this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}transform(e,t,n,a,i,s){this.ctx.transform(e,t,n,a,i,s),this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}constructPath(e,t,n){let[a]=t;if(!n){a||=t[0]=new Path2D,this[e](a);return}if(!(a instanceof Path2D)){const i=t[0]=new Path2D;for(let s=0,o=a.length;s<o;)switch(a[s++]){case $1.moveTo:i.moveTo(a[s++],a[s++]);break;case $1.lineTo:i.lineTo(a[s++],a[s++]);break;case $1.curveTo:i.bezierCurveTo(a[s++],a[s++],a[s++],a[s++],a[s++],a[s++]);break;case $1.closePath:i.closePath();break;default:Jr(`Unrecognized drawing path operator: ${a[s-1]}`);break}a=i}Dr.axialAlignedBoundingBox(n,wa(this.ctx),this.current.minMax),this[e](a)}closePath(){this.ctx.closePath()}stroke(e,t=!0){const n=this.ctx,a=this.current.strokeColor;if(n.globalAlpha=this.current.strokeAlpha,this.contentVisible)if(typeof a=="object"&&a?.getPattern){const i=a.isModifyingCurrentTransform()?n.getTransform():null;if(n.save(),n.strokeStyle=a.getPattern(n,this,_l(n),Ai.STROKE),i){const s=new Path2D;s.addPath(e,n.getTransform().invertSelf().multiplySelf(i)),e=s}this.rescaleAndStroke(e,!1),n.restore()}else this.rescaleAndStroke(e,!0);t&&this.consumePath(e,this.current.getClippedPathBoundingBox(Ai.STROKE,wa(this.ctx))),n.globalAlpha=this.current.fillAlpha}closeStroke(e){this.stroke(e)}fill(e,t=!0){const n=this.ctx,a=this.current.fillColor,i=this.current.patternFill;let s=!1;if(i){const l=a.isModifyingCurrentTransform()?n.getTransform():null;if(n.save(),n.fillStyle=a.getPattern(n,this,_l(n),Ai.FILL),l){const c=new Path2D;c.addPath(e,n.getTransform().invertSelf().multiplySelf(l)),e=c}s=!0}const o=this.current.getClippedPathBoundingBox();this.contentVisible&&o!==null&&(this.pendingEOFill?(n.fill(e,"evenodd"),this.pendingEOFill=!1):n.fill(e)),s&&n.restore(),t&&this.consumePath(e,o)}eoFill(e){this.pendingEOFill=!0,this.fill(e)}fillStroke(e){this.fill(e,!1),this.stroke(e,!1),this.consumePath(e)}eoFillStroke(e){this.pendingEOFill=!0,this.fillStroke(e)}closeFillStroke(e){this.fillStroke(e)}closeEOFillStroke(e){this.pendingEOFill=!0,this.fillStroke(e)}endPath(e){this.consumePath(e)}rawFillPath(e){this.ctx.fill(e)}clip(){this.pendingClip=Vve}eoClip(){this.pendingClip=DD}beginText(){this.current.textMatrix=null,this.current.textMatrixScale=1,this.current.x=this.current.lineX=0,this.current.y=this.current.lineY=0}endText(){const e=this.pendingTextPaths,t=this.ctx;if(e===void 0)return;const n=new Path2D,a=t.getTransform().invertSelf();for(const{transform:i,x:s,y:o,fontSize:l,path:c}of e)c&&n.addPath(c,new DOMMatrix(i).preMultiplySelf(a).translate(s,o).scale(l,-l));t.clip(n),delete this.pendingTextPaths}setCharSpacing(e){this.current.charSpacing=e}setWordSpacing(e){this.current.wordSpacing=e}setHScale(e){this.current.textHScale=e/100}setLeading(e){this.current.leading=-e}setFont(e,t){const n=this.commonObjs.get(e),a=this.current;if(!n)throw new Error(`Can't find font for ${e}`);if(a.fontMatrix=n.fontMatrix||eA,(a.fontMatrix[0]===0||a.fontMatrix[3]===0)&&Jr("Invalid font matrix for font "+e),t<0?(t=-t,a.fontDirection=-1):a.fontDirection=1,this.current.font=n,this.current.fontSize=t,n.isType3Font)return;const i=n.loadedName||"sans-serif",s=n.systemFontInfo?.css||`"${i}", ${n.fallbackName}`;let o="normal";n.black?o="900":n.bold&&(o="bold");const l=n.italic?"italic":"normal";let c=t;t<xD?c=xD:t>RD&&(c=RD),this.current.fontSizeScale=t/c,this.ctx.font=`${l} ${o} ${c}px ${s}`}setTextRenderingMode(e){this.current.textRenderingMode=e}setTextRise(e){this.current.textRise=e}moveText(e,t){this.current.x=this.current.lineX+=e,this.current.y=this.current.lineY+=t}setLeadingMoveText(e,t){this.setLeading(-t),this.moveText(e,t)}setTextMatrix(e){const{current:t}=this;t.textMatrix=e,t.textMatrixScale=Math.hypot(e[0],e[1]),t.x=t.lineX=0,t.y=t.lineY=0}nextLine(){this.moveText(0,this.current.leading)}#r(e,t,n){const a=new Path2D;return a.addPath(e,new DOMMatrix(n).invertSelf().multiplySelf(t)),a}paintChar(e,t,n,a,i){const s=this.ctx,o=this.current,l=o.font,c=o.textRenderingMode,u=o.fontSize/o.fontSizeScale,d=c&$i.FILL_STROKE_MASK,h=!!(c&$i.ADD_TO_PATH_FLAG),p=o.patternFill&&!l.missingFile,m=o.patternStroke&&!l.missingFile;let g;if((l.disableFontFace||h||p||m)&&!l.missingFile&&(g=l.getPathGenerator(this.commonObjs,e)),g&&(l.disableFontFace||p||m)){s.save(),s.translate(t,n),s.scale(u,-u);let b;if((d===$i.FILL||d===$i.FILL_STROKE)&&(a?(b=s.getTransform(),s.setTransform(...a),s.fill(this.#r(g,b,a))):s.fill(g)),d===$i.STROKE||d===$i.FILL_STROKE)if(i){b||=s.getTransform(),s.setTransform(...i);const{a:_,b:v,c:y,d:E}=b,S=Dr.inverseTransform(i),w=Dr.transform([_,v,y,E,0,0],S);Dr.singularValueDecompose2dScale(w,Ys),s.lineWidth*=Math.max(Ys[0],Ys[1])/u,s.stroke(this.#r(g,b,i))}else s.lineWidth/=u,s.stroke(g);s.restore()}else(d===$i.FILL||d===$i.FILL_STROKE)&&s.fillText(e,t,n),(d===$i.STROKE||d===$i.FILL_STROKE)&&s.strokeText(e,t,n);h&&(this.pendingTextPaths||=[]).push({transform:wa(s),x:t,y:n,fontSize:u,path:g})}get isFontSubpixelAAEnabled(){const{context:e}=this.cachedCanvases.getCanvas("isFontSubpixelAAEnabled",10,10);e.scale(1.5,1),e.fillText("I",0,10);const t=e.getImageData(0,0,10,10).data;let n=!1;for(let a=3;a<t.length;a+=4)if(t[a]>0&&t[a]<255){n=!0;break}return bn(this,"isFontSubpixelAAEnabled",n)}showText(e){const t=this.current,n=t.font;if(n.isType3Font)return this.showType3Text(e);const a=t.fontSize;if(a===0)return;const i=this.ctx,s=t.fontSizeScale,o=t.charSpacing,l=t.wordSpacing,c=t.fontDirection,u=t.textHScale*c,d=e.length,h=n.vertical,p=h?1:-1,m=n.defaultVMetrics,g=a*t.fontMatrix[0],b=t.textRenderingMode===$i.FILL&&!n.disableFontFace&&!t.patternFill;i.save(),t.textMatrix&&i.transform(...t.textMatrix),i.translate(t.x,t.y+t.textRise),c>0?i.scale(u,-1):i.scale(u,1);let _,v;if(t.patternFill){i.save();const C=t.fillColor.getPattern(i,this,_l(i),Ai.FILL);_=wa(i),i.restore(),i.fillStyle=C}if(t.patternStroke){i.save();const C=t.strokeColor.getPattern(i,this,_l(i),Ai.STROKE);v=wa(i),i.restore(),i.strokeStyle=C}let y=t.lineWidth;const E=t.textMatrixScale;if(E===0||y===0){const C=t.textRenderingMode&$i.FILL_STROKE_MASK;(C===$i.STROKE||C===$i.FILL_STROKE)&&(y=this.getSinglePixelWidth())}else y/=E;if(s!==1&&(i.scale(s,s),y/=s),i.lineWidth=y,n.isInvalidPDFjsFont){const C=[];let x=0;for(const N of e)C.push(N.unicode),x+=N.width;i.fillText(C.join(""),0,0),t.x+=x*g*u,i.restore(),this.compose();return}let S=0,w;for(w=0;w<d;++w){const C=e[w];if(typeof C=="number"){S+=p*C*a/1e3;continue}let x=!1;const N=(C.isSpace?l:0)+o,I=C.fontChar,D=C.accent;let V,q,$=C.width;if(h){const z=C.vmetric||m,re=-(C.vmetric?z[1]:$*.5)*g,W=z[2]*g;$=z?-z[0]:$,V=re/s,q=(S+W)/s}else V=S/s,q=0;if(n.remeasure&&$>0){const z=i.measureText(I).width*1e3/a*s;if($<z&&this.isFontSubpixelAAEnabled){const re=$/z;x=!0,i.save(),i.scale(re,1),V/=re}else $!==z&&(V+=($-z)/2e3*a/s)}if(this.contentVisible&&(C.isInFont||n.missingFile)){if(b&&!D)i.fillText(I,V,q);else if(this.paintChar(I,V,q,_,v),D){const z=V+a*D.offset.x/s,re=q-a*D.offset.y/s;this.paintChar(D.fontChar,z,re,_,v)}}const K=h?$*g-N*c:$*g+N*c;S+=K,x&&i.restore()}h?t.y-=S:t.x+=S*u,i.restore(),this.compose()}showType3Text(e){const t=this.ctx,n=this.current,a=n.font,i=n.fontSize,s=n.fontDirection,o=a.vertical?1:-1,l=n.charSpacing,c=n.wordSpacing,u=n.textHScale*s,d=n.fontMatrix||eA,h=e.length,p=n.textRenderingMode===$i.INVISIBLE;let m,g,b,_;if(!(p||i===0)){for(this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null,t.save(),n.textMatrix&&t.transform(...n.textMatrix),t.translate(n.x,n.y+n.textRise),t.scale(u,s),m=0;m<h;++m){if(g=e[m],typeof g=="number"){_=o*g*i/1e3,this.ctx.translate(_,0),n.x+=_*u;continue}const v=(g.isSpace?c:0)+l,y=a.charProcOperatorList[g.operatorListId];y?this.contentVisible&&(this.save(),t.scale(i,i),t.transform(...d),this.executeOperatorList(y),this.restore()):Jr(`Type3 character "${g.operatorListId}" is not available.`);const E=[g.width,0];Dr.applyTransform(E,d),b=E[0]*i+v,t.translate(b,0),n.x+=b*u}t.restore()}}setCharWidth(e,t){}setCharWidthAndBounds(e,t,n,a,i,s){const o=new Path2D;o.rect(n,a,i-n,s-a),this.ctx.clip(o),this.endPath()}getColorN_Pattern(e){let t;if(e[0]==="TilingPattern"){const n=this.baseTransform||wa(this.ctx),a={createCanvasGraphics:i=>new pf(i,this.commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig:this.optionalContentConfig,markedContentStack:this.markedContentStack})};t=new yx(e,this.ctx,a,n)}else t=this._getPattern(e[1],e[2]);return t}setStrokeColorN(){this.current.strokeColor=this.getColorN_Pattern(arguments),this.current.patternStroke=!0}setFillColorN(){this.current.fillColor=this.getColorN_Pattern(arguments),this.current.patternFill=!0}setStrokeRGBColor(e){this.ctx.strokeStyle=this.current.strokeColor=e,this.current.patternStroke=!1}setStrokeTransparent(){this.ctx.strokeStyle=this.current.strokeColor="transparent",this.current.patternStroke=!1}setFillRGBColor(e){this.ctx.fillStyle=this.current.fillColor=e,this.current.patternFill=!1}setFillTransparent(){this.ctx.fillStyle=this.current.fillColor="transparent",this.current.patternFill=!1}_getPattern(e,t=null){let n;return this.cachedPatterns.has(e)?n=this.cachedPatterns.get(e):(n=Bve(this.getObject(e)),this.cachedPatterns.set(e,n)),t&&(n.matrix=t),n}shadingFill(e){if(!this.contentVisible)return;const t=this.ctx;this.save();const n=this._getPattern(e);t.fillStyle=n.getPattern(t,this,_l(t),Ai.SHADING);const a=_l(t);if(a){const{width:i,height:s}=t.canvas,o=Jh.slice();Dr.axialAlignedBoundingBox([0,0,i,s],a,o);const[l,c,u,d]=o;this.ctx.fillRect(l,c,u-l,d-c)}else this.ctx.fillRect(-1e10,-1e10,2e10,2e10);this.compose(this.current.getClippedPathBoundingBox()),this.restore()}beginInlineImage(){Zn("Should not call beginInlineImage")}beginImageData(){Zn("Should not call beginImageData")}paintFormXObjectBegin(e,t){if(this.contentVisible&&(this.save(),this.baseTransformStack.push(this.baseTransform),e&&this.transform(...e),this.baseTransform=wa(this.ctx),t)){Dr.axialAlignedBoundingBox(t,this.baseTransform,this.current.minMax);const[n,a,i,s]=t,o=new Path2D;o.rect(n,a,i-n,s-a),this.ctx.clip(o),this.endPath()}}paintFormXObjectEnd(){this.contentVisible&&(this.restore(),this.baseTransform=this.baseTransformStack.pop())}beginGroup(e){if(!this.contentVisible)return;this.save(),this.inSMaskMode&&(this.endSMaskMode(),this.current.activeSMask=null);const t=this.ctx;e.isolated||cy("TODO: Support non-isolated groups."),e.knockout&&Jr("Knockout groups not supported.");const n=wa(t);if(e.matrix&&t.transform(...e.matrix),!e.bbox)throw new Error("Bounding box is required.");let a=Jh.slice();Dr.axialAlignedBoundingBox(e.bbox,wa(t),a);const i=[0,0,t.canvas.width,t.canvas.height];a=Dr.intersect(a,i)||[0,0,0,0];const s=Math.floor(a[0]),o=Math.floor(a[1]),l=Math.max(Math.ceil(a[2])-s,1),c=Math.max(Math.ceil(a[3])-o,1);this.current.startNewPathAndClipBox([0,0,l,c]);let u="groupAt"+this.groupLevel;e.smask&&(u+="_smask_"+this.smaskCounter++%2);const d=this.cachedCanvases.getCanvas(u,l,c),h=d.context;h.translate(-s,-o),h.transform(...n);let p=new Path2D;const[m,g,b,_]=e.bbox;if(p.rect(m,g,b-m,_-g),e.matrix){const v=new Path2D;v.addPath(p,new DOMMatrix(e.matrix)),p=v}h.clip(p),e.smask?this.smaskStack.push({canvas:d.canvas,context:h,offsetX:s,offsetY:o,subtype:e.smask.subtype,backdrop:e.smask.backdrop,transferMap:e.smask.transferMap||null,startTransformInverse:null}):(t.setTransform(1,0,0,1,0,0),t.translate(s,o),t.save()),kp(t,h),this.ctx=h,this.setGState([["BM","source-over"],["ca",1],["CA",1]]),this.groupStack.push(t),this.groupLevel++}endGroup(e){if(!this.contentVisible)return;this.groupLevel--;const t=this.ctx,n=this.groupStack.pop();if(this.ctx=n,this.ctx.imageSmoothingEnabled=!1,e.smask)this.tempSMask=this.smaskStack.pop(),this.restore();else{this.ctx.restore();const a=wa(this.ctx);this.restore(),this.ctx.save(),this.ctx.setTransform(...a);const i=Jh.slice();Dr.axialAlignedBoundingBox([0,0,t.canvas.width,t.canvas.height],a,i),this.ctx.drawImage(t.canvas,0,0),this.ctx.restore(),this.compose(i)}}beginAnnotation(e,t,n,a,i){if(this.#e(),V1(this.ctx),this.ctx.save(),this.save(),this.baseTransform&&this.ctx.setTransform(...this.baseTransform),t){const s=t[2]-t[0],o=t[3]-t[1];if(i&&this.annotationCanvasMap){n=n.slice(),n[4]-=t[0],n[5]-=t[1],t=t.slice(),t[0]=t[1]=0,t[2]=s,t[3]=o,Dr.singularValueDecompose2dScale(wa(this.ctx),Ys);const{viewportScale:l}=this,c=Math.ceil(s*this.outputScaleX*l),u=Math.ceil(o*this.outputScaleY*l);this.annotationCanvas=this.canvasFactory.create(c,u);const{canvas:d,context:h}=this.annotationCanvas;this.annotationCanvasMap.set(e,d),this.annotationCanvas.savedCtx=this.ctx,this.ctx=h,this.ctx.save(),this.ctx.setTransform(Ys[0],0,0,-Ys[1],0,o*Ys[1]),V1(this.ctx)}else{V1(this.ctx),this.endPath();const l=new Path2D;l.rect(t[0],t[1],s,o),this.ctx.clip(l)}}this.current=new ND(this.ctx.canvas.width,this.ctx.canvas.height),this.transform(...n),this.transform(...a)}endAnnotation(){this.annotationCanvas&&(this.ctx.restore(),this.#t(),this.ctx=this.annotationCanvas.savedCtx,delete this.annotationCanvas.savedCtx,delete this.annotationCanvas)}paintImageMaskXObject(e){if(!this.contentVisible)return;const t=e.count;e=this.getObject(e.data,e),e.count=t;const n=this.ctx,a=this._createMaskCanvas(e),i=a.canvas;n.save(),n.setTransform(1,0,0,1,0,0),n.drawImage(i,a.offsetX,a.offsetY),n.restore(),this.compose()}paintImageMaskXObjectRepeat(e,t,n=0,a=0,i,s){if(!this.contentVisible)return;e=this.getObject(e.data,e);const o=this.ctx;o.save();const l=wa(o);o.transform(t,n,a,i,0,0);const c=this._createMaskCanvas(e);o.setTransform(1,0,0,1,c.offsetX-l[4],c.offsetY-l[5]);for(let u=0,d=s.length;u<d;u+=2){const h=Dr.transform(l,[t,n,a,i,s[u],s[u+1]]);o.drawImage(c.canvas,h[4],h[5])}o.restore(),this.compose()}paintImageMaskXObjectGroup(e){if(!this.contentVisible)return;const t=this.ctx,n=this.current.fillColor,a=this.current.patternFill;for(const i of e){const{data:s,width:o,height:l,transform:c}=i,u=this.cachedCanvases.getCanvas("maskCanvas",o,l),d=u.context;d.save();const h=this.getObject(s,i);kD(d,h),d.globalCompositeOperation="source-in",d.fillStyle=a?n.getPattern(d,this,_l(t),Ai.FILL):n,d.fillRect(0,0,o,l),d.restore(),t.save(),t.transform(...c),t.scale(1,-1),H1(t,u.canvas,0,0,o,l,0,-1,1,1),t.restore()}this.compose()}paintImageXObject(e){if(!this.contentVisible)return;const t=this.getObject(e);if(!t){Jr("Dependent image isn't ready yet");return}this.paintInlineImageXObject(t)}paintImageXObjectRepeat(e,t,n,a){if(!this.contentVisible)return;const i=this.getObject(e);if(!i){Jr("Dependent image isn't ready yet");return}const s=i.width,o=i.height,l=[];for(let c=0,u=a.length;c<u;c+=2)l.push({transform:[t,0,0,n,a[c],a[c+1]],x:0,y:0,w:s,h:o});this.paintInlineImageXObjectGroup(i,l)}applyTransferMapsToCanvas(e){return this.current.transferMaps!=="none"&&(e.filter=this.current.transferMaps,e.drawImage(e.canvas,0,0),e.filter="none"),e.canvas}applyTransferMapsToBitmap(e){if(this.current.transferMaps==="none")return e.bitmap;const{bitmap:t,width:n,height:a}=e,i=this.cachedCanvases.getCanvas("inlineImage",n,a),s=i.context;return s.filter=this.current.transferMaps,s.drawImage(t,0,0),s.filter="none",i.canvas}paintInlineImageXObject(e){if(!this.contentVisible)return;const t=e.width,n=e.height,a=this.ctx;this.save();const{filter:i}=a;i!=="none"&&i!==""&&(a.filter="none"),a.scale(1/t,-1/n);let s;if(e.bitmap)s=this.applyTransferMapsToBitmap(e);else if(typeof HTMLElement=="function"&&e instanceof HTMLElement||!e.data)s=e;else{const c=this.cachedCanvases.getCanvas("inlineImage",t,n).context;ID(c,e),s=this.applyTransferMapsToCanvas(c)}const o=this._scaleImage(s,_l(a));a.imageSmoothingEnabled=MD(wa(a),e.interpolate),H1(a,o.img,0,0,o.paintWidth,o.paintHeight,0,-n,t,n),this.compose(),this.restore()}paintInlineImageXObjectGroup(e,t){if(!this.contentVisible)return;const n=this.ctx;let a;if(e.bitmap)a=e.bitmap;else{const i=e.width,s=e.height,l=this.cachedCanvases.getCanvas("inlineImage",i,s).context;ID(l,e),a=this.applyTransferMapsToCanvas(l)}for(const i of t)n.save(),n.transform(...i.transform),n.scale(1,-1),H1(n,a,i.x,i.y,i.w,i.h,0,-1,1,1),n.restore();this.compose()}paintSolidColorImageMask(){this.contentVisible&&(this.ctx.fillRect(0,0,1,1),this.compose())}markPoint(e){}markPointProps(e,t){}beginMarkedContent(e){this.markedContentStack.push({visible:!0})}beginMarkedContentProps(e,t){e==="OC"?this.markedContentStack.push({visible:this.optionalContentConfig.isVisible(t)}):this.markedContentStack.push({visible:!0}),this.contentVisible=this.isContentVisible()}endMarkedContent(){this.markedContentStack.pop(),this.contentVisible=this.isContentVisible()}beginCompat(){}endCompat(){}consumePath(e,t){const n=this.current.isEmptyClip();this.pendingClip&&this.current.updateClipFromPath(),this.pendingClip||this.compose(t);const a=this.ctx;this.pendingClip&&(n||(this.pendingClip===DD?a.clip(e,"evenodd"):a.clip(e)),this.pendingClip=null),this.current.startNewPathAndClipBox(this.current.clipBox)}getSinglePixelWidth(){if(!this._cachedGetSinglePixelWidth){const e=wa(this.ctx);if(e[1]===0&&e[2]===0)this._cachedGetSinglePixelWidth=1/Math.min(Math.abs(e[0]),Math.abs(e[3]));else{const t=Math.abs(e[0]*e[3]-e[2]*e[1]),n=Math.hypot(e[0],e[2]),a=Math.hypot(e[1],e[3]);this._cachedGetSinglePixelWidth=Math.max(n,a)/t}}return this._cachedGetSinglePixelWidth}getScaleForStroking(){if(this._cachedScaleForStroking[0]===-1){const{lineWidth:e}=this.current,{a:t,b:n,c:a,d:i}=this.ctx.getTransform();let s,o;if(n===0&&a===0){const l=Math.abs(t),c=Math.abs(i);if(l===c)if(e===0)s=o=1/l;else{const u=l*e;s=o=u<1?1/u:1}else if(e===0)s=1/l,o=1/c;else{const u=l*e,d=c*e;s=u<1?1/u:1,o=d<1?1/d:1}}else{const l=Math.abs(t*i-n*a),c=Math.hypot(t,n),u=Math.hypot(a,i);if(e===0)s=u/l,o=c/l;else{const d=e*l;s=u>d?u/d:1,o=c>d?c/d:1}}this._cachedScaleForStroking[0]=s,this._cachedScaleForStroking[1]=o}return this._cachedScaleForStroking}rescaleAndStroke(e,t){const{ctx:n,current:{lineWidth:a}}=this,[i,s]=this.getScaleForStroking();if(i===s){n.lineWidth=(a||1)*i,n.stroke(e);return}const o=n.getLineDash();t&&n.save(),n.scale(i,s),LT.a=1/i,LT.d=1/s;const l=new Path2D;if(l.addPath(e,LT),o.length>0){const c=Math.max(i,s);n.setLineDash(o.map(u=>u/c)),n.lineDashOffset/=c}n.lineWidth=a||1,n.stroke(l),t&&n.restore()}isContentVisible(){for(let e=this.markedContentStack.length-1;e>=0;e--)if(!this.markedContentStack[e].visible)return!1;return!0}}for(const r in kb)pf.prototype[r]!==void 0&&(pf.prototype[kb[r]]=pf.prototype[r]);class mf{static#e=null;static#t="";static get workerPort(){return this.#e}static set workerPort(e){if(!(typeof Worker<"u"&&e instanceof Worker)&&e!==null)throw new Error("Invalid `workerPort` type.");this.#e=e}static get workerSrc(){return this.#t}static set workerSrc(e){if(typeof e!="string")throw new Error("Invalid `workerSrc` type.");this.#t=e}}class Yve{#e;#t;constructor({parsedData:e,rawData:t}){this.#e=e,this.#t=t}getRaw(){return this.#t}get(e){return this.#e.get(e)??null}[Symbol.iterator](){return this.#e.entries()}}const zh=Symbol("INTERNAL");class Wve{#e=!1;#t=!1;#r=!1;#n=!0;constructor(e,{name:t,intent:n,usage:a,rbGroups:i}){this.#e=!!(e&qs.DISPLAY),this.#t=!!(e&qs.PRINT),this.name=t,this.intent=n,this.usage=a,this.rbGroups=i}get visible(){if(this.#r)return this.#n;if(!this.#n)return!1;const{print:e,view:t}=this.usage;return this.#e?t?.viewState!=="OFF":this.#t?e?.printState!=="OFF":!0}_setVisible(e,t,n=!1){e!==zh&&Zn("Internal method `_setVisible` called."),this.#r=n,this.#n=t}}class jve{#e=null;#t=new Map;#r=null;#n=null;constructor(e,t=qs.DISPLAY){if(this.renderingIntent=t,this.name=null,this.creator=null,e!==null){this.name=e.name,this.creator=e.creator,this.#n=e.order;for(const n of e.groups)this.#t.set(n.id,new Wve(t,n));if(e.baseState==="OFF")for(const n of this.#t.values())n._setVisible(zh,!1);for(const n of e.on)this.#t.get(n)._setVisible(zh,!0);for(const n of e.off)this.#t.get(n)._setVisible(zh,!1);this.#r=this.getHash()}}#i(e){const t=e.length;if(t<2)return!0;const n=e[0];for(let a=1;a<t;a++){const i=e[a];let s;if(Array.isArray(i))s=this.#i(i);else if(this.#t.has(i))s=this.#t.get(i).visible;else return Jr(`Optional content group not found: ${i}`),!0;switch(n){case"And":if(!s)return!1;break;case"Or":if(s)return!0;break;case"Not":return!s;default:return!0}}return n==="And"}isVisible(e){if(this.#t.size===0)return!0;if(!e)return cy("Optional content group not defined."),!0;if(e.type==="OCG")return this.#t.has(e.id)?this.#t.get(e.id).visible:(Jr(`Optional content group not found: ${e.id}`),!0);if(e.type==="OCMD"){if(e.expression)return this.#i(e.expression);if(!e.policy||e.policy==="AnyOn"){for(const t of e.ids){if(!this.#t.has(t))return Jr(`Optional content group not found: ${t}`),!0;if(this.#t.get(t).visible)return!0}return!1}else if(e.policy==="AllOn"){for(const t of e.ids){if(!this.#t.has(t))return Jr(`Optional content group not found: ${t}`),!0;if(!this.#t.get(t).visible)return!1}return!0}else if(e.policy==="AnyOff"){for(const t of e.ids){if(!this.#t.has(t))return Jr(`Optional content group not found: ${t}`),!0;if(!this.#t.get(t).visible)return!0}return!1}else if(e.policy==="AllOff"){for(const t of e.ids){if(!this.#t.has(t))return Jr(`Optional content group not found: ${t}`),!0;if(this.#t.get(t).visible)return!1}return!0}return Jr(`Unknown optional content policy ${e.policy}.`),!0}return Jr(`Unknown group type ${e.type}.`),!0}setVisibility(e,t=!0,n=!0){const a=this.#t.get(e);if(!a){Jr(`Optional content group not found: ${e}`);return}if(n&&t&&a.rbGroups.length)for(const i of a.rbGroups)for(const s of i)s!==e&&this.#t.get(s)?._setVisible(zh,!1,!0);a._setVisible(zh,!!t,!0),this.#e=null}setOCGState({state:e,preserveRB:t}){let n;for(const a of e){switch(a){case"ON":case"OFF":case"Toggle":n=a;continue}const i=this.#t.get(a);if(i)switch(n){case"ON":this.setVisibility(a,!0,t);break;case"OFF":this.setVisibility(a,!1,t);break;case"Toggle":this.setVisibility(a,!i.visible,t);break}}this.#e=null}get hasInitialVisibility(){return this.#r===null||this.getHash()===this.#r}getOrder(){return this.#t.size?this.#n?this.#n.slice():[...this.#t.keys()]:null}getGroup(e){return this.#t.get(e)||null}getHash(){if(this.#e!==null)return this.#e;const e=new pz;for(const[t,n]of this.#t)e.update(`${t}:${n.visible}`);return this.#e=e.hexdigest()}[Symbol.iterator](){return this.#t.entries()}}class Kve{constructor(e,{disableRange:t=!1,disableStream:n=!1}){Xa(e,'PDFDataTransportStream - missing required "pdfDataRangeTransport" argument.');const{length:a,initialData:i,progressiveDone:s,contentDispositionFilename:o}=e;if(this._queuedChunks=[],this._progressiveDone=s,this._contentDispositionFilename=o,i?.length>0){const l=i instanceof Uint8Array&&i.byteLength===i.buffer.byteLength?i.buffer:new Uint8Array(i).buffer;this._queuedChunks.push(l)}this._pdfDataRangeTransport=e,this._isStreamingSupported=!n,this._isRangeSupported=!t,this._contentLength=a,this._fullRequestReader=null,this._rangeReaders=[],e.addRangeListener((l,c)=>{this._onReceiveData({begin:l,chunk:c})}),e.addProgressListener((l,c)=>{this._onProgress({loaded:l,total:c})}),e.addProgressiveReadListener(l=>{this._onReceiveData({chunk:l})}),e.addProgressiveDoneListener(()=>{this._onProgressiveDone()}),e.transportReady()}_onReceiveData({begin:e,chunk:t}){const n=t instanceof Uint8Array&&t.byteLength===t.buffer.byteLength?t.buffer:new Uint8Array(t).buffer;if(e===void 0)this._fullRequestReader?this._fullRequestReader._enqueue(n):this._queuedChunks.push(n);else{const a=this._rangeReaders.some(function(i){return i._begin!==e?!1:(i._enqueue(n),!0)});Xa(a,"_onReceiveData - no `PDFDataTransportStreamRangeReader` instance found.")}}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}_onProgress(e){e.total===void 0?this._rangeReaders[0]?.onProgress?.({loaded:e.loaded}):this._fullRequestReader?.onProgress?.({loaded:e.loaded,total:e.total})}_onProgressiveDone(){this._fullRequestReader?.progressiveDone(),this._progressiveDone=!0}_removeRangeReader(e){const t=this._rangeReaders.indexOf(e);t>=0&&this._rangeReaders.splice(t,1)}getFullReader(){Xa(!this._fullRequestReader,"PDFDataTransportStream.getFullReader can only be called once.");const e=this._queuedChunks;return this._queuedChunks=null,new Xve(this,e,this._progressiveDone,this._contentDispositionFilename)}getRangeReader(e,t){if(t<=this._progressiveDataLength)return null;const n=new Qve(this,e,t);return this._pdfDataRangeTransport.requestDataRange(e,t),this._rangeReaders.push(n),n}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeReaders.slice(0))t.cancel(e);this._pdfDataRangeTransport.abort()}}class Xve{constructor(e,t,n=!1,a=null){this._stream=e,this._done=n||!1,this._filename=px(a)?a:null,this._queuedChunks=t||[],this._loaded=0;for(const i of this._queuedChunks)this._loaded+=i.byteLength;this._requests=[],this._headersReady=Promise.resolve(),e._fullRequestReader=this,this.onProgress=null}_enqueue(e){this._done||(this._requests.length>0?this._requests.shift().resolve({value:e,done:!1}):this._queuedChunks.push(e),this._loaded+=e.byteLength)}get headersReady(){return this._headersReady}get filename(){return this._filename}get isRangeSupported(){return this._stream._isRangeSupported}get isStreamingSupported(){return this._stream._isStreamingSupported}get contentLength(){return this._stream._contentLength}async read(){if(this._queuedChunks.length>0)return{value:this._queuedChunks.shift(),done:!1};if(this._done)return{value:void 0,done:!0};const e=Promise.withResolvers();return this._requests.push(e),e.promise}cancel(e){this._done=!0;for(const t of this._requests)t.resolve({value:void 0,done:!0});this._requests.length=0}progressiveDone(){this._done||(this._done=!0)}}class Qve{constructor(e,t,n){this._stream=e,this._begin=t,this._end=n,this._queuedChunk=null,this._requests=[],this._done=!1,this.onProgress=null}_enqueue(e){if(!this._done){if(this._requests.length===0)this._queuedChunk=e;else{this._requests.shift().resolve({value:e,done:!1});for(const n of this._requests)n.resolve({value:void 0,done:!0});this._requests.length=0}this._done=!0,this._stream._removeRangeReader(this)}}get isStreamingSupported(){return!1}async read(){if(this._queuedChunk){const t=this._queuedChunk;return this._queuedChunk=null,{value:t,done:!1}}if(this._done)return{value:void 0,done:!0};const e=Promise.withResolvers();return this._requests.push(e),e.promise}cancel(e){this._done=!0;for(const t of this._requests)t.resolve({value:void 0,done:!0});this._requests.length=0,this._stream._removeRangeReader(this)}}function Zve(r){let e=!0,t=n("filename\\*","i").exec(r);if(t){t=t[1];let u=o(t);return u=unescape(u),u=l(u),u=c(u),i(u)}if(t=s(r),t){const u=c(t);return i(u)}if(t=n("filename","i").exec(r),t){t=t[1];let u=o(t);return u=c(u),i(u)}function n(u,d){return new RegExp("(?:^|;)\\s*"+u+'\\s*=\\s*([^";\\s][^;\\s]*|"(?:[^"\\\\]|\\\\"?)+"?)',d)}function a(u,d){if(u){if(!/^[\x00-\xFF]+$/.test(d))return d;try{const h=new TextDecoder(u,{fatal:!0}),p=Sg(d);d=h.decode(p),e=!1}catch{}}return d}function i(u){return e&&/[\x80-\xff]/.test(u)&&(u=a("utf-8",u),e&&(u=a("iso-8859-1",u))),u}function s(u){const d=[];let h;const p=n("filename\\*((?!0\\d)\\d+)(\\*?)","ig");for(;(h=p.exec(u))!==null;){let[,g,b,_]=h;if(g=parseInt(g,10),g in d){if(g===0)break;continue}d[g]=[b,_]}const m=[];for(let g=0;g<d.length&&g in d;++g){let[b,_]=d[g];_=o(_),b&&(_=unescape(_),g===0&&(_=l(_))),m.push(_)}return m.join("")}function o(u){if(u.startsWith('"')){const d=u.slice(1).split('\\"');for(let h=0;h<d.length;++h){const p=d[h].indexOf('"');p!==-1&&(d[h]=d[h].slice(0,p),d.length=h+1),d[h]=d[h].replaceAll(/\\(.)/g,"$1")}u=d.join('"')}return u}function l(u){const d=u.indexOf("'");if(d===-1)return u;const h=u.slice(0,d),m=u.slice(d+1).replace(/^[^']*'/,"");return a(h,m)}function c(u){return!u.startsWith("=?")||/[\x00-\x19\x80-\xff]/.test(u)?u:u.replaceAll(/=\?([\w-]*)\?([QqBb])\?((?:[^?]|\?(?!=))*)\?=/g,function(d,h,p,m){if(p==="q"||p==="Q")return m=m.replaceAll("_"," "),m=m.replaceAll(/=([0-9a-fA-F]{2})/g,function(g,b){return String.fromCharCode(parseInt(b,16))}),a(h,m);try{m=atob(m)}catch{}return a(h,m)})}return""}function Sz(r,e){const t=new Headers;if(!r||!e||typeof e!="object")return t;for(const n in e){const a=e[n];a!==void 0&&t.append(n,a)}return t}function fy(r){return URL.parse(r)?.origin??null}function Ez({responseHeaders:r,isHttp:e,rangeChunkSize:t,disableRange:n}){const a={allowRangeRequests:!1,suggestedLength:void 0},i=parseInt(r.get("Content-Length"),10);return!Number.isInteger(i)||(a.suggestedLength=i,i<=2*t)||n||!e||r.get("Accept-Ranges")!=="bytes"||(r.get("Content-Encoding")||"identity")!=="identity"||(a.allowRangeRequests=!0),a}function wz(r){const e=r.get("Content-Disposition");if(e){let t=Zve(e);if(t.includes("%"))try{t=decodeURIComponent(t)}catch{}if(px(t))return t}return null}function Cg(r,e){return new Mb(`Unexpected server response (${r}) while retrieving PDF "${e}".`,r,r===404||r===0&&e.startsWith("file:"))}function Tz(r){return r===200||r===206}function Cz(r,e,t){return{method:"GET",headers:r,signal:t.signal,mode:"cors",credentials:e?"include":"same-origin",redirect:"follow"}}function Az(r){return r instanceof Uint8Array?r.buffer:r instanceof ArrayBuffer?r:(Jr(`getArrayBuffer - unexpected data format: ${r}`),new Uint8Array(r).buffer)}class Jve{_responseOrigin=null;constructor(e){this.source=e,this.isHttp=/^https?:/i.test(e.url),this.headers=Sz(this.isHttp,e.httpHeaders),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return Xa(!this._fullRequestReader,"PDFFetchStream.getFullReader can only be called once."),this._fullRequestReader=new eye(this),this._fullRequestReader}getRangeReader(e,t){if(t<=this._progressiveDataLength)return null;const n=new tye(this,e,t);return this._rangeRequestReaders.push(n),n}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class eye{constructor(e){this._stream=e,this._reader=null,this._loaded=0,this._filename=null;const t=e.source;this._withCredentials=t.withCredentials||!1,this._contentLength=t.length,this._headersCapability=Promise.withResolvers(),this._disableRange=t.disableRange||!1,this._rangeChunkSize=t.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._abortController=new AbortController,this._isStreamingSupported=!t.disableStream,this._isRangeSupported=!t.disableRange;const n=new Headers(e.headers),a=t.url;fetch(a,Cz(n,this._withCredentials,this._abortController)).then(i=>{if(e._responseOrigin=fy(i.url),!Tz(i.status))throw Cg(i.status,a);this._reader=i.body.getReader(),this._headersCapability.resolve();const s=i.headers,{allowRangeRequests:o,suggestedLength:l}=Ez({responseHeaders:s,isHttp:e.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});this._isRangeSupported=o,this._contentLength=l||this._contentLength,this._filename=wz(s),!this._isStreamingSupported&&this._isRangeSupported&&this.cancel(new Fu("Streaming is disabled."))}).catch(this._headersCapability.reject),this.onProgress=null}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){await this._headersCapability.promise;const{value:e,done:t}=await this._reader.read();return t?{value:e,done:t}:(this._loaded+=e.byteLength,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:Az(e),done:!1})}cancel(e){this._reader?.cancel(e),this._abortController.abort()}}class tye{constructor(e,t,n){this._stream=e,this._reader=null,this._loaded=0;const a=e.source;this._withCredentials=a.withCredentials||!1,this._readCapability=Promise.withResolvers(),this._isStreamingSupported=!a.disableStream,this._abortController=new AbortController;const i=new Headers(e.headers);i.append("Range",`bytes=${t}-${n-1}`);const s=a.url;fetch(s,Cz(i,this._withCredentials,this._abortController)).then(o=>{const l=fy(o.url);if(l!==e._responseOrigin)throw new Error(`Expected range response-origin "${l}" to match "${e._responseOrigin}".`);if(!Tz(o.status))throw Cg(o.status,s);this._readCapability.resolve(),this._reader=o.body.getReader()}).catch(this._readCapability.reject),this.onProgress=null}get isStreamingSupported(){return this._isStreamingSupported}async read(){await this._readCapability.promise;const{value:e,done:t}=await this._reader.read();return t?{value:e,done:t}:(this._loaded+=e.byteLength,this.onProgress?.({loaded:this._loaded}),{value:Az(e),done:!1})}cancel(e){this._reader?.cancel(e),this._abortController.abort()}}const FT=200,BT=206;function rye(r){const e=r.response;return typeof e!="string"?e:Sg(e).buffer}class nye{_responseOrigin=null;constructor({url:e,httpHeaders:t,withCredentials:n}){this.url=e,this.isHttp=/^https?:/i.test(e),this.headers=Sz(this.isHttp,t),this.withCredentials=n||!1,this.currXhrId=0,this.pendingRequests=Object.create(null)}request(e){const t=new XMLHttpRequest,n=this.currXhrId++,a=this.pendingRequests[n]={xhr:t};t.open("GET",this.url),t.withCredentials=this.withCredentials;for(const[i,s]of this.headers)t.setRequestHeader(i,s);return this.isHttp&&"begin"in e&&"end"in e?(t.setRequestHeader("Range",`bytes=${e.begin}-${e.end-1}`),a.expectedStatus=BT):a.expectedStatus=FT,t.responseType="arraybuffer",Xa(e.onError,"Expected `onError` callback to be provided."),t.onerror=()=>{e.onError(t.status)},t.onreadystatechange=this.onStateChange.bind(this,n),t.onprogress=this.onProgress.bind(this,n),a.onHeadersReceived=e.onHeadersReceived,a.onDone=e.onDone,a.onError=e.onError,a.onProgress=e.onProgress,t.send(null),n}onProgress(e,t){const n=this.pendingRequests[e];n&&n.onProgress?.(t)}onStateChange(e,t){const n=this.pendingRequests[e];if(!n)return;const a=n.xhr;if(a.readyState>=2&&n.onHeadersReceived&&(n.onHeadersReceived(),delete n.onHeadersReceived),a.readyState!==4||!(e in this.pendingRequests))return;if(delete this.pendingRequests[e],a.status===0&&this.isHttp){n.onError(a.status);return}const i=a.status||FT;if(!(i===FT&&n.expectedStatus===BT)&&i!==n.expectedStatus){n.onError(a.status);return}const o=rye(a);if(i===BT){const l=a.getResponseHeader("Content-Range"),c=/bytes (\d+)-(\d+)\/(\d+)/.exec(l);c?n.onDone({begin:parseInt(c[1],10),chunk:o}):(Jr('Missing or invalid "Content-Range" header.'),n.onError(0))}else o?n.onDone({begin:0,chunk:o}):n.onError(a.status)}getRequestXhr(e){return this.pendingRequests[e].xhr}isPendingRequest(e){return e in this.pendingRequests}abortRequest(e){const t=this.pendingRequests[e].xhr;delete this.pendingRequests[e],t.abort()}}class aye{constructor(e){this._source=e,this._manager=new nye(e),this._rangeChunkSize=e.rangeChunkSize,this._fullRequestReader=null,this._rangeRequestReaders=[]}_onRangeRequestReaderClosed(e){const t=this._rangeRequestReaders.indexOf(e);t>=0&&this._rangeRequestReaders.splice(t,1)}getFullReader(){return Xa(!this._fullRequestReader,"PDFNetworkStream.getFullReader can only be called once."),this._fullRequestReader=new iye(this._manager,this._source),this._fullRequestReader}getRangeReader(e,t){const n=new sye(this._manager,e,t);return n.onClosed=this._onRangeRequestReaderClosed.bind(this),this._rangeRequestReaders.push(n),n}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class iye{constructor(e,t){this._manager=e,this._url=t.url,this._fullRequestId=e.request({onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._headersCapability=Promise.withResolvers(),this._disableRange=t.disableRange||!1,this._contentLength=t.length,this._rangeChunkSize=t.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!1,this._isRangeSupported=!1,this._cachedChunks=[],this._requests=[],this._done=!1,this._storedError=void 0,this._filename=null,this.onProgress=null}_onHeadersReceived(){const e=this._fullRequestId,t=this._manager.getRequestXhr(e);this._manager._responseOrigin=fy(t.responseURL);const n=t.getAllResponseHeaders(),a=new Headers(n?n.trimStart().replace(/[^\S ]+$/,"").split(/[\r\n]+/).map(o=>{const[l,...c]=o.split(": ");return[l,c.join(": ")]}):[]),{allowRangeRequests:i,suggestedLength:s}=Ez({responseHeaders:a,isHttp:this._manager.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});i&&(this._isRangeSupported=!0),this._contentLength=s||this._contentLength,this._filename=wz(a),this._isRangeSupported&&this._manager.abortRequest(e),this._headersCapability.resolve()}_onDone(e){if(e&&(this._requests.length>0?this._requests.shift().resolve({value:e.chunk,done:!1}):this._cachedChunks.push(e.chunk)),this._done=!0,!(this._cachedChunks.length>0)){for(const t of this._requests)t.resolve({value:void 0,done:!0});this._requests.length=0}}_onError(e){this._storedError=Cg(e,this._url),this._headersCapability.reject(this._storedError);for(const t of this._requests)t.reject(this._storedError);this._requests.length=0,this._cachedChunks.length=0}_onProgress(e){this.onProgress?.({loaded:e.loaded,total:e.lengthComputable?e.total:this._contentLength})}get filename(){return this._filename}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}get contentLength(){return this._contentLength}get headersReady(){return this._headersCapability.promise}async read(){if(await this._headersCapability.promise,this._storedError)throw this._storedError;if(this._cachedChunks.length>0)return{value:this._cachedChunks.shift(),done:!1};if(this._done)return{value:void 0,done:!0};const e=Promise.withResolvers();return this._requests.push(e),e.promise}cancel(e){this._done=!0,this._headersCapability.reject(e);for(const t of this._requests)t.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._fullRequestId)&&this._manager.abortRequest(this._fullRequestId),this._fullRequestReader=null}}class sye{constructor(e,t,n){this._manager=e,this._url=e.url,this._requestId=e.request({begin:t,end:n,onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._requests=[],this._queuedChunk=null,this._done=!1,this._storedError=void 0,this.onProgress=null,this.onClosed=null}_onHeadersReceived(){const e=fy(this._manager.getRequestXhr(this._requestId)?.responseURL);e!==this._manager._responseOrigin&&(this._storedError=new Error(`Expected range response-origin "${e}" to match "${this._manager._responseOrigin}".`),this._onError(0))}_close(){this.onClosed?.(this)}_onDone(e){const t=e.chunk;this._requests.length>0?this._requests.shift().resolve({value:t,done:!1}):this._queuedChunk=t,this._done=!0;for(const n of this._requests)n.resolve({value:void 0,done:!0});this._requests.length=0,this._close()}_onError(e){this._storedError??=Cg(e,this._url);for(const t of this._requests)t.reject(this._storedError);this._requests.length=0,this._queuedChunk=null}_onProgress(e){this.isStreamingSupported||this.onProgress?.({loaded:e.loaded})}get isStreamingSupported(){return!1}async read(){if(this._storedError)throw this._storedError;if(this._queuedChunk!==null){const t=this._queuedChunk;return this._queuedChunk=null,{value:t,done:!1}}if(this._done)return{value:void 0,done:!0};const e=Promise.withResolvers();return this._requests.push(e),e.promise}cancel(e){this._done=!0;for(const t of this._requests)t.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._requestId)&&this._manager.abortRequest(this._requestId),this._close()}}const oye=/^[a-z][a-z0-9\-+.]+:/i;function lye(r){if(oye.test(r))return new URL(r);const e=process.getBuiltinModule("url");return new URL(e.pathToFileURL(r))}class cye{constructor(e){this.source=e,this.url=lye(e.url),Xa(this.url.protocol==="file:","PDFNodeStream only supports file:// URLs."),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return Xa(!this._fullRequestReader,"PDFNodeStream.getFullReader can only be called once."),this._fullRequestReader=new uye(this),this._fullRequestReader}getRangeReader(e,t){if(t<=this._progressiveDataLength)return null;const n=new dye(this,e,t);return this._rangeRequestReaders.push(n),n}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class uye{constructor(e){this._url=e.url,this._done=!1,this._storedError=null,this.onProgress=null;const t=e.source;this._contentLength=t.length,this._loaded=0,this._filename=null,this._disableRange=t.disableRange||!1,this._rangeChunkSize=t.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!t.disableStream,this._isRangeSupported=!t.disableRange,this._readableStream=null,this._readCapability=Promise.withResolvers(),this._headersCapability=Promise.withResolvers();const n=process.getBuiltinModule("fs");n.promises.lstat(this._url).then(a=>{this._contentLength=a.size,this._setReadableStream(n.createReadStream(this._url)),this._headersCapability.resolve()},a=>{a.code==="ENOENT"&&(a=Cg(0,this._url.href)),this._storedError=a,this._headersCapability.reject(a)})}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const e=this._readableStream.read();return e===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=e.length,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:new Uint8Array(e).buffer,done:!1})}cancel(e){if(!this._readableStream){this._error(e);return}this._readableStream.destroy(e)}_error(e){this._storedError=e,this._readCapability.resolve()}_setReadableStream(e){this._readableStream=e,e.on("readable",()=>{this._readCapability.resolve()}),e.on("end",()=>{e.destroy(),this._done=!0,this._readCapability.resolve()}),e.on("error",t=>{this._error(t)}),!this._isStreamingSupported&&this._isRangeSupported&&this._error(new Fu("streaming is disabled")),this._storedError&&this._readableStream.destroy(this._storedError)}}class dye{constructor(e,t,n){this._url=e.url,this._done=!1,this._storedError=null,this.onProgress=null,this._loaded=0,this._readableStream=null,this._readCapability=Promise.withResolvers();const a=e.source;this._isStreamingSupported=!a.disableStream;const i=process.getBuiltinModule("fs");this._setReadableStream(i.createReadStream(this._url,{start:t,end:n-1}))}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const e=this._readableStream.read();return e===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=e.length,this.onProgress?.({loaded:this._loaded}),{value:new Uint8Array(e).buffer,done:!1})}cancel(e){if(!this._readableStream){this._error(e);return}this._readableStream.destroy(e)}_error(e){this._storedError=e,this._readCapability.resolve()}_setReadableStream(e){this._readableStream=e,e.on("readable",()=>{this._readCapability.resolve()}),e.on("end",()=>{e.destroy(),this._done=!0,this._readCapability.resolve()}),e.on("error",t=>{this._error(t)}),this._storedError&&this._readableStream.destroy(this._storedError)}}const Mp=Symbol("INITIAL_DATA");class xz{#e=Object.create(null);#t(e){return this.#e[e]||={...Promise.withResolvers(),data:Mp}}get(e,t=null){if(t){const a=this.#t(e);return a.promise.then(()=>t(a.data)),null}const n=this.#e[e];if(!n||n.data===Mp)throw new Error(`Requesting object that isn't resolved yet ${e}.`);return n.data}has(e){const t=this.#e[e];return!!t&&t.data!==Mp}delete(e){const t=this.#e[e];return!t||t.data===Mp?!1:(delete this.#e[e],!0)}resolve(e,t=null){const n=this.#t(e);n.data=t,n.resolve()}clear(){for(const e in this.#e){const{data:t}=this.#e[e];t?.bitmap?.close()}this.#e=Object.create(null)}*[Symbol.iterator](){for(const e in this.#e){const{data:t}=this.#e[e];t!==Mp&&(yield[e,t])}}}const hye=1e5,PD=30;class Ji{#e=Promise.withResolvers();#t=null;#r=!1;#n=!!globalThis.FontInspector?.enabled;#i=null;#a=null;#s=0;#o=0;#l=null;#c=null;#d=0;#u=0;#p=Object.create(null);#m=[];#f=null;#h=[];#g=new WeakMap;#v=null;static#_=new Map;static#y=new Map;static#S=new WeakMap;static#b=null;static#w=new Set;constructor({textContentSource:e,container:t,viewport:n}){if(e instanceof ReadableStream)this.#f=e;else if(typeof e=="object")this.#f=new ReadableStream({start(l){l.enqueue(e),l.close()}});else throw new Error('No "textContentSource" parameter specified.');this.#t=this.#c=t,this.#u=n.scale*zl.pixelRatio,this.#d=n.rotation,this.#a={div:null,properties:null,ctx:null};const{pageWidth:a,pageHeight:i,pageX:s,pageY:o}=n.rawDims;this.#v=[1,0,0,-1,-s,o+i],this.#o=a,this.#s=i,Ji.#x(),Zd(t,n),this.#e.promise.finally(()=>{Ji.#w.delete(this),this.#a=null,this.#p=null}).catch(()=>{})}static get fontFamilyMap(){const{isWindows:e,isFirefox:t}=Mi.platform;return bn(this,"fontFamilyMap",new Map([["sans-serif",`${e&&t?"Calibri, ":""}sans-serif`],["monospace",`${e&&t?"Lucida Console, ":""}monospace`]]))}render(){const e=()=>{this.#l.read().then(({value:t,done:n})=>{if(n){this.#e.resolve();return}this.#i??=t.lang,Object.assign(this.#p,t.styles),this.#T(t.items),e()},this.#e.reject)};return this.#l=this.#f.getReader(),Ji.#w.add(this),e(),this.#e.promise}update({viewport:e,onBefore:t=null}){const n=e.scale*zl.pixelRatio,a=e.rotation;if(a!==this.#d&&(t?.(),this.#d=a,Zd(this.#c,{rotation:a})),n!==this.#u){t?.(),this.#u=n;const i={div:null,properties:null,ctx:Ji.#O(this.#i)};for(const s of this.#h)i.properties=this.#g.get(s),i.div=s,this.#N(i)}}cancel(){const e=new Fu("TextLayer task cancelled.");this.#l?.cancel(e).catch(()=>{}),this.#l=null,this.#e.reject(e)}get textDivs(){return this.#h}get textContentItemsStr(){return this.#m}#T(e){if(this.#r)return;this.#a.ctx??=Ji.#O(this.#i);const t=this.#h,n=this.#m;for(const a of e){if(t.length>hye){Jr("Ignoring additional textDivs for performance reasons."),this.#r=!0;return}if(a.str===void 0){if(a.type==="beginMarkedContentProps"||a.type==="beginMarkedContent"){const i=this.#t;this.#t=document.createElement("span"),this.#t.classList.add("markedContent"),a.id&&this.#t.setAttribute("id",`${a.id}`),i.append(this.#t)}else a.type==="endMarkedContent"&&(this.#t=this.#t.parentNode);continue}n.push(a.str),this.#C(a)}}#C(e){const t=document.createElement("span"),n={angle:0,canvasWidth:0,hasText:e.str!=="",hasEOL:e.hasEOL,fontSize:0};this.#h.push(t);const a=Dr.transform(this.#v,e.transform);let i=Math.atan2(a[1],a[0]);const s=this.#p[e.fontName];s.vertical&&(i+=Math.PI/2);let o=this.#n&&s.fontSubstitution||s.fontFamily;o=Ji.fontFamilyMap.get(o)||o;const l=Math.hypot(a[2],a[3]),c=l*Ji.#k(o,s,this.#i);let u,d;i===0?(u=a[4],d=a[5]-c):(u=a[4]+c*Math.sin(i),d=a[5]-c*Math.cos(i));const h="calc(var(--total-scale-factor) *",p=t.style;this.#t===this.#c?(p.left=`${(100*u/this.#o).toFixed(2)}%`,p.top=`${(100*d/this.#s).toFixed(2)}%`):(p.left=`${h}${u.toFixed(2)}px)`,p.top=`${h}${d.toFixed(2)}px)`),p.fontSize=`${h}${(Ji.#b*l).toFixed(2)}px)`,p.fontFamily=o,n.fontSize=l,t.setAttribute("role","presentation"),t.textContent=e.str,t.dir=e.dir,this.#n&&(t.dataset.fontName=s.fontSubstitutionLoadedName||e.fontName),i!==0&&(n.angle=i*(180/Math.PI));let m=!1;if(e.str.length>1)m=!0;else if(e.str!==" "&&e.transform[0]!==e.transform[3]){const g=Math.abs(e.transform[0]),b=Math.abs(e.transform[3]);g!==b&&Math.max(g,b)/Math.min(g,b)>1.5&&(m=!0)}if(m&&(n.canvasWidth=s.vertical?e.height:e.width),this.#g.set(t,n),this.#a.div=t,this.#a.properties=n,this.#N(this.#a),n.hasText&&this.#t.append(t),n.hasEOL){const g=document.createElement("br");g.setAttribute("role","presentation"),this.#t.append(g)}}#N(e){const{div:t,properties:n,ctx:a}=e,{style:i}=t;let s="";if(Ji.#b>1&&(s=`scale(${1/Ji.#b})`),n.canvasWidth!==0&&n.hasText){const{fontFamily:o}=i,{canvasWidth:l,fontSize:c}=n;Ji.#R(a,c*this.#u,o);const{width:u}=a.measureText(t.textContent);u>0&&(s=`scaleX(${l*this.#u/u}) ${s}`)}n.angle!==0&&(s=`rotate(${n.angle}deg) ${s}`),s.length>0&&(i.transform=s)}static cleanup(){if(!(this.#w.size>0)){this.#_.clear();for(const{canvas:e}of this.#y.values())e.remove();this.#y.clear()}}static#O(e=null){let t=this.#y.get(e||="");if(!t){const n=document.createElement("canvas");n.className="hiddenCanvasElement",n.lang=e,document.body.append(n),t=n.getContext("2d",{alpha:!1,willReadFrequently:!0}),this.#y.set(e,t),this.#S.set(t,{size:0,family:""})}return t}static#R(e,t,n){const a=this.#S.get(e);t===a.size&&n===a.family||(e.font=`${t}px ${n}`,a.size=t,a.family=n)}static#x(){if(this.#b!==null)return;const e=document.createElement("div");e.style.opacity=0,e.style.lineHeight=1,e.style.fontSize="1px",e.style.position="absolute",e.textContent="X",document.body.append(e),this.#b=e.getBoundingClientRect().height,e.remove()}static#k(e,t,n){const a=this.#_.get(e);if(a)return a;const i=this.#O(n);i.canvas.width=i.canvas.height=PD,this.#R(i,PD,e);const s=i.measureText(""),o=s.fontBoundingBoxAscent,l=Math.abs(s.fontBoundingBoxDescent);i.canvas.width=i.canvas.height=0;let c=.8;return o?c=o/(o+l):(Mi.platform.isFirefox&&Jr("Enable the `dom.textMetrics.fontBoundingBox.enabled` preference in `about:config` to improve TextLayer rendering."),t.ascent?c=t.ascent:t.descent&&(c=1+t.descent)),this.#_.set(e,c),c}}class Dm{static textContent(e){const t=[],n={items:t,styles:Object.create(null)};function a(i){if(!i)return;let s=null;const o=i.name;if(o==="#text")s=i.value;else if(Dm.shouldBuildText(o))i?.attributes?.textContent?s=i.attributes.textContent:i.value&&(s=i.value);else return;if(s!==null&&t.push({str:s}),!!i.children)for(const l of i.children)a(l)}return a(e),n}static shouldBuildText(e){return!(e==="textarea"||e==="input"||e==="option"||e==="select")}}const fye=100;function Sx(r={}){typeof r=="string"||r instanceof URL?r={url:r}:(r instanceof ArrayBuffer||ArrayBuffer.isView(r))&&(r={data:r});const e=new Ex,{docId:t}=e,n=r.url?Eve(r.url):null,a=r.data?wve(r.data):null,i=r.httpHeaders||null,s=r.withCredentials===!0,o=r.password??null,l=r.range instanceof Rz?r.range:null,c=Number.isInteger(r.rangeChunkSize)&&r.rangeChunkSize>0?r.rangeChunkSize:2**16;let u=r.worker instanceof Pm?r.worker:null;const d=r.verbosity,h=typeof r.docBaseUrl=="string"&&!uy(r.docBaseUrl)?r.docBaseUrl:null,p=z1(r.cMapUrl),m=r.cMapPacked!==!1,g=r.CMapReaderFactory||(es?Ive:wD),b=z1(r.iccUrl),_=z1(r.standardFontDataUrl),v=r.StandardFontDataFactory||(es?kve:TD),y=z1(r.wasmUrl),E=r.WasmFactory||(es?Mve:CD),S=r.stopAtErrors!==!0,w=Number.isInteger(r.maxImageSize)&&r.maxImageSize>-1?r.maxImageSize:-1,C=r.isEvalSupported!==!1,x=typeof r.isOffscreenCanvasSupported=="boolean"?r.isOffscreenCanvasSupported:!es,N=typeof r.isImageDecoderSupported=="boolean"?r.isImageDecoderSupported:!es&&(Mi.platform.isFirefox||!globalThis.chrome),I=Number.isInteger(r.canvasMaxAreaInBytes)?r.canvasMaxAreaInBytes:-1,D=typeof r.disableFontFace=="boolean"?r.disableFontFace:es,V=r.fontExtraProperties===!0,q=r.enableXfa===!0,$=r.ownerDocument||globalThis.document,K=r.disableRange===!0,z=r.disableStream===!0,re=r.disableAutoFetch===!0,W=r.pdfBug===!0,ie=r.CanvasFactory||(es?Nve:xve),k=r.FilterFactory||(es?Ove:Rve),B=r.enableHWA===!0,te=r.useWasm!==!1,O=l?l.length:r.length??NaN,R=typeof r.useSystemFonts=="boolean"?r.useSystemFonts:!es&&!D,U=typeof r.useWorkerFetch=="boolean"?r.useWorkerFetch:!!(g===wD&&v===TD&&E===CD&&p&&_&&y&&Xp(p,document.baseURI)&&Xp(_,document.baseURI)&&Xp(y,document.baseURI)),Q=null;eve(d);const ne={canvasFactory:new ie({ownerDocument:$,enableHWA:B}),filterFactory:new k({docId:t,ownerDocument:$}),cMapReaderFactory:U?null:new g({baseUrl:p,isCompressed:m}),standardFontDataFactory:U?null:new v({baseUrl:_}),wasmFactory:U?null:new E({baseUrl:y})};u||(u=Pm.create({verbosity:d,port:mf.workerPort}),e._worker=u);const ue={docId:t,apiVersion:"5.4.54",data:a,password:o,disableAutoFetch:re,rangeChunkSize:c,length:O,docBaseUrl:h,enableXfa:q,evaluatorOptions:{maxImageSize:w,disableFontFace:D,ignoreErrors:S,isEvalSupported:C,isOffscreenCanvasSupported:x,isImageDecoderSupported:N,canvasMaxAreaInBytes:I,fontExtraProperties:V,useSystemFonts:R,useWasm:te,useWorkerFetch:U,cMapUrl:p,iccUrl:b,standardFontDataUrl:_,wasmUrl:y}},he={ownerDocument:$,pdfBug:W,styleElement:Q,loadingParams:{disableAutoFetch:re,enableXfa:q}};return u.promise.then(function(){if(e.destroyed)throw new Error("Loading aborted");if(u.destroyed)throw new Error("Worker was destroyed");const be=u.messageHandler.sendWithPromise("GetDocRequest",ue,a?[a.buffer]:null);let Z;if(l)Z=new Kve(l,{disableRange:K,disableStream:z});else if(!a){if(!n)throw new Error("getDocument - no `url` parameter provided.");const ae=Xp(n)?Jve:es?cye:aye;Z=new ae({url:n,length:O,httpHeaders:i,withCredentials:s,rangeChunkSize:c,disableRange:K,disableStream:z})}return be.then(ae=>{if(e.destroyed)throw new Error("Loading aborted");if(u.destroyed)throw new Error("Worker was destroyed");const fe=new Qp(t,ae,u.port),pe=new gye(fe,e,Z,he,ne,B);e._transport=pe,fe.send("Ready",null)})}).catch(e._capability.reject),e}class Ex{static#e=0;_capability=Promise.withResolvers();_transport=null;_worker=null;docId=`d${Ex.#e++}`;destroyed=!1;onPassword=null;onProgress=null;get promise(){return this._capability.promise}async destroy(){this.destroyed=!0;try{this._worker?.port&&(this._worker._pendingDestroy=!0),await this._transport?.destroy()}catch(e){throw this._worker?.port&&delete this._worker._pendingDestroy,e}this._transport=null,this._worker?.destroy(),this._worker=null}async getData(){return this._transport.getData()}}class Rz{#e=Promise.withResolvers();#t=[];#r=[];#n=[];#i=[];constructor(e,t,n=!1,a=null){this.length=e,this.initialData=t,this.progressiveDone=n,this.contentDispositionFilename=a}addRangeListener(e){this.#i.push(e)}addProgressListener(e){this.#n.push(e)}addProgressiveReadListener(e){this.#r.push(e)}addProgressiveDoneListener(e){this.#t.push(e)}onDataRange(e,t){for(const n of this.#i)n(e,t)}onDataProgress(e,t){this.#e.promise.then(()=>{for(const n of this.#n)n(e,t)})}onDataProgressiveRead(e){this.#e.promise.then(()=>{for(const t of this.#r)t(e)})}onDataProgressiveDone(){this.#e.promise.then(()=>{for(const e of this.#t)e()})}transportReady(){this.#e.resolve()}requestDataRange(e,t){Zn("Abstract method PDFDataRangeTransport.requestDataRange")}abort(){}}class pye{constructor(e,t){this._pdfInfo=e,this._transport=t}get annotationStorage(){return this._transport.annotationStorage}get canvasFactory(){return this._transport.canvasFactory}get filterFactory(){return this._transport.filterFactory}get numPages(){return this._pdfInfo.numPages}get fingerprints(){return this._pdfInfo.fingerprints}get isPureXfa(){return bn(this,"isPureXfa",!!this._transport._htmlForXfa)}get allXfaHtml(){return this._transport._htmlForXfa}getPage(e){return this._transport.getPage(e)}getPageIndex(e){return this._transport.getPageIndex(e)}getDestinations(){return this._transport.getDestinations()}getDestination(e){return this._transport.getDestination(e)}getPageLabels(){return this._transport.getPageLabels()}getPageLayout(){return this._transport.getPageLayout()}getPageMode(){return this._transport.getPageMode()}getViewerPreferences(){return this._transport.getViewerPreferences()}getOpenAction(){return this._transport.getOpenAction()}getAttachments(){return this._transport.getAttachments()}getJSActions(){return this._transport.getDocJSActions()}getOutline(){return this._transport.getOutline()}getOptionalContentConfig({intent:e="display"}={}){const{renderingIntent:t}=this._transport.getRenderingIntent(e);return this._transport.getOptionalContentConfig(t)}getPermissions(){return this._transport.getPermissions()}getMetadata(){return this._transport.getMetadata()}getMarkInfo(){return this._transport.getMarkInfo()}getData(){return this._transport.getData()}saveDocument(){return this._transport.saveDocument()}getDownloadInfo(){return this._transport.downloadInfoCapability.promise}cleanup(e=!1){return this._transport.startCleanup(e||this.isPureXfa)}destroy(){return this.loadingTask.destroy()}cachedPageNumber(e){return this._transport.cachedPageNumber(e)}get loadingParams(){return this._transport.loadingParams}get loadingTask(){return this._transport.loadingTask}getFieldObjects(){return this._transport.getFieldObjects()}hasJSActions(){return this._transport.hasJSActions()}getCalculationOrderIds(){return this._transport.getCalculationOrderIds()}}class mye{#e=!1;constructor(e,t,n,a=!1){this._pageIndex=e,this._pageInfo=t,this._transport=n,this._stats=a?new yD:null,this._pdfBug=a,this.commonObjs=n.commonObjs,this.objs=new xz,this._intentStates=new Map,this.destroyed=!1}get pageNumber(){return this._pageIndex+1}get rotate(){return this._pageInfo.rotate}get ref(){return this._pageInfo.ref}get userUnit(){return this._pageInfo.userUnit}get view(){return this._pageInfo.view}getViewport({scale:e,rotation:t=this.rotate,offsetX:n=0,offsetY:a=0,dontFlip:i=!1}={}){return new wg({viewBox:this.view,userUnit:this.userUnit,scale:e,rotation:t,offsetX:n,offsetY:a,dontFlip:i})}getAnnotations({intent:e="display"}={}){const{renderingIntent:t}=this._transport.getRenderingIntent(e);return this._transport.getAnnotations(this._pageIndex,t)}getJSActions(){return this._transport.getPageJSActions(this._pageIndex)}get filterFactory(){return this._transport.filterFactory}get isPureXfa(){return bn(this,"isPureXfa",!!this._transport._htmlForXfa)}async getXfa(){return this._transport._htmlForXfa?.children[this._pageIndex]||null}render({canvasContext:e,canvas:t=e.canvas,viewport:n,intent:a="display",annotationMode:i=yu.ENABLE,transform:s=null,background:o=null,optionalContentConfigPromise:l=null,annotationCanvasMap:c=null,pageColors:u=null,printAnnotationStorage:d=null,isEditing:h=!1}){this._stats?.time("Overall");const p=this._transport.getRenderingIntent(a,i,d,h),{renderingIntent:m,cacheKey:g}=p;this.#e=!1,l||=this._transport.getOptionalContentConfig(m);let b=this._intentStates.get(g);b||(b=Object.create(null),this._intentStates.set(g,b)),b.streamReaderCancelTimeout&&(clearTimeout(b.streamReaderCancelTimeout),b.streamReaderCancelTimeout=null);const _=!!(m&qs.PRINT);b.displayReadyCapability||(b.displayReadyCapability=Promise.withResolvers(),b.operatorList={fnArray:[],argsArray:[],lastChunk:!1,separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(p));const v=S=>{b.renderTasks.delete(y),_&&(this.#e=!0),this.#t(),S?(y.capability.reject(S),this._abortOperatorList({intentState:b,reason:S instanceof Error?S:new Error(S)})):y.capability.resolve(),this._stats&&(this._stats.timeEnd("Rendering"),this._stats.timeEnd("Overall"),globalThis.Stats?.enabled&&globalThis.Stats.add(this.pageNumber,this._stats))},y=new ef({callback:v,params:{canvas:t,canvasContext:e,viewport:n,transform:s,background:o},objs:this.objs,commonObjs:this.commonObjs,annotationCanvasMap:c,operatorList:b.operatorList,pageIndex:this._pageIndex,canvasFactory:this._transport.canvasFactory,filterFactory:this._transport.filterFactory,useRequestAnimationFrame:!_,pdfBug:this._pdfBug,pageColors:u,enableHWA:this._transport.enableHWA});(b.renderTasks||=new Set).add(y);const E=y.task;return Promise.all([b.displayReadyCapability.promise,l]).then(([S,w])=>{if(this.destroyed){v();return}if(this._stats?.time("Rendering"),!(w.renderingIntent&m))throw new Error("Must use the same `intent`-argument when calling the `PDFPageProxy.render` and `PDFDocumentProxy.getOptionalContentConfig` methods.");y.initializeGraphics({transparency:S,optionalContentConfig:w}),y.operatorListChanged()}).catch(v),E}getOperatorList({intent:e="display",annotationMode:t=yu.ENABLE,printAnnotationStorage:n=null,isEditing:a=!1}={}){function i(){o.operatorList.lastChunk&&(o.opListReadCapability.resolve(o.operatorList),o.renderTasks.delete(l))}const s=this._transport.getRenderingIntent(e,t,n,a,!0);let o=this._intentStates.get(s.cacheKey);o||(o=Object.create(null),this._intentStates.set(s.cacheKey,o));let l;return o.opListReadCapability||(l=Object.create(null),l.operatorListChanged=i,o.opListReadCapability=Promise.withResolvers(),(o.renderTasks||=new Set).add(l),o.operatorList={fnArray:[],argsArray:[],lastChunk:!1,separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(s)),o.opListReadCapability.promise}streamTextContent({includeMarkedContent:e=!1,disableNormalization:t=!1}={}){return this._transport.messageHandler.sendWithStream("GetTextContent",{pageIndex:this._pageIndex,includeMarkedContent:e===!0,disableNormalization:t===!0},{highWaterMark:100,size(a){return a.items.length}})}getTextContent(e={}){if(this._transport._htmlForXfa)return this.getXfa().then(n=>Dm.textContent(n));const t=this.streamTextContent(e);return new Promise(function(n,a){function i(){s.read().then(function({value:l,done:c}){if(c){n(o);return}o.lang??=l.lang,Object.assign(o.styles,l.styles),o.items.push(...l.items),i()},a)}const s=t.getReader(),o={items:[],styles:Object.create(null),lang:null};i()})}getStructTree(){return this._transport.getStructTree(this._pageIndex)}_destroy(){this.destroyed=!0;const e=[];for(const t of this._intentStates.values())if(this._abortOperatorList({intentState:t,reason:new Error("Page was destroyed."),force:!0}),!t.opListReadCapability)for(const n of t.renderTasks)e.push(n.completed),n.cancel();return this.objs.clear(),this.#e=!1,Promise.all(e)}cleanup(e=!1){this.#e=!0;const t=this.#t();return e&&t&&(this._stats&&=new yD),t}#t(){if(!this.#e||this.destroyed)return!1;for(const{renderTasks:e,operatorList:t}of this._intentStates.values())if(e.size>0||!t.lastChunk)return!1;return this._intentStates.clear(),this.objs.clear(),this.#e=!1,!0}_startRenderPage(e,t){const n=this._intentStates.get(t);n&&(this._stats?.timeEnd("Page Request"),n.displayReadyCapability?.resolve(e))}_renderPageChunk(e,t){for(let n=0,a=e.length;n<a;n++)t.operatorList.fnArray.push(e.fnArray[n]),t.operatorList.argsArray.push(e.argsArray[n]);t.operatorList.lastChunk=e.lastChunk,t.operatorList.separateAnnots=e.separateAnnots;for(const n of t.renderTasks)n.operatorListChanged();e.lastChunk&&this.#t()}_pumpOperatorList({renderingIntent:e,cacheKey:t,annotationStorageSerializable:n,modifiedIds:a}){const{map:i,transfer:s}=n,l=this._transport.messageHandler.sendWithStream("GetOperatorList",{pageIndex:this._pageIndex,intent:e,cacheKey:t,annotationStorage:i,modifiedIds:a},s).getReader(),c=this._intentStates.get(t);c.streamReader=l;const u=()=>{l.read().then(({value:d,done:h})=>{if(h){c.streamReader=null;return}this._transport.destroyed||(this._renderPageChunk(d,c),u())},d=>{if(c.streamReader=null,!this._transport.destroyed){if(c.operatorList){c.operatorList.lastChunk=!0;for(const h of c.renderTasks)h.operatorListChanged();this.#t()}if(c.displayReadyCapability)c.displayReadyCapability.reject(d);else if(c.opListReadCapability)c.opListReadCapability.reject(d);else throw d}})};u()}_abortOperatorList({intentState:e,reason:t,force:n=!1}){if(e.streamReader){if(e.streamReaderCancelTimeout&&(clearTimeout(e.streamReaderCancelTimeout),e.streamReaderCancelTimeout=null),!n){if(e.renderTasks.size>0)return;if(t instanceof fx){let a=fye;t.extraDelay>0&&t.extraDelay<1e3&&(a+=t.extraDelay),e.streamReaderCancelTimeout=setTimeout(()=>{e.streamReaderCancelTimeout=null,this._abortOperatorList({intentState:e,reason:t,force:!0})},a);return}}if(e.streamReader.cancel(new Fu(t.message)).catch(()=>{}),e.streamReader=null,!this._transport.destroyed){for(const[a,i]of this._intentStates)if(i===e){this._intentStates.delete(a);break}this.cleanup()}}}get stats(){return this._stats}}var Su,Vo,vc,zd,Xb,qd,Hd,us,x_,Oz,Nz,Zp,vf,R_;const ga=class ga{constructor({name:e=null,port:t=null,verbosity:n=tve()}={}){ml(this,us);ml(this,Su,Promise.withResolvers());ml(this,Vo,null);ml(this,vc,null);ml(this,zd,null);if(this.name=e,this.destroyed=!1,this.verbosity=n,t){if(ma(ga,Hd).has(t))throw new Error("Cannot use more than one PDFWorker per port.");ma(ga,Hd).set(t,this),gl(this,us,Oz).call(this,t)}else gl(this,us,Nz).call(this)}get promise(){return ma(this,Su).promise}get port(){return ma(this,vc)}get messageHandler(){return ma(this,Vo)}destroy(){this.destroyed=!0,ma(this,zd)?.terminate(),gs(this,zd,null),ma(ga,Hd).delete(ma(this,vc)),gs(this,vc,null),ma(this,Vo)?.destroy(),gs(this,Vo,null)}static create(e){const t=ma(this,Hd).get(e?.port);if(t){if(t._pendingDestroy)throw new Error("PDFWorker.create - the worker is being destroyed.\nPlease remember to await `PDFDocumentLoadingTask.destroy()`-calls.");return t}return new ga(e)}static get workerSrc(){if(mf.workerSrc)return mf.workerSrc;throw new Error('No "GlobalWorkerOptions.workerSrc" specified.')}static get _setupFakeWorkerGlobal(){return bn(this,"_setupFakeWorkerGlobal",(async()=>ma(this,vf,R_)?ma(this,vf,R_):(await import(this.workerSrc)).WorkerMessageHandler)())}};Su=new WeakMap,Vo=new WeakMap,vc=new WeakMap,zd=new WeakMap,Xb=new WeakMap,qd=new WeakMap,Hd=new WeakMap,us=new WeakSet,x_=function(){ma(this,Su).resolve(),ma(this,Vo).send("configure",{verbosity:this.verbosity})},Oz=function(e){gs(this,vc,e),gs(this,Vo,new Qp("main","worker",e)),ma(this,Vo).on("ready",()=>{}),gl(this,us,x_).call(this)},Nz=function(){if(ma(ga,qd)||ma(ga,vf,R_)){gl(this,us,Zp).call(this);return}let{workerSrc:e}=ga;try{ga._isSameOrigin(window.location,e)||(e=ga._createCDNWrapper(new URL(e,window.location).href));const t=new Worker(e,{type:"module"}),n=new Qp("main","worker",t),a=()=>{i.abort(),n.destroy(),t.terminate(),this.destroyed?ma(this,Su).reject(new Error("Worker was destroyed")):gl(this,us,Zp).call(this)},i=new AbortController;t.addEventListener("error",()=>{ma(this,zd)||a()},{signal:i.signal}),n.on("test",o=>{if(i.abort(),this.destroyed||!o){a();return}gs(this,Vo,n),gs(this,vc,t),gs(this,zd,t),gl(this,us,x_).call(this)}),n.on("ready",o=>{if(i.abort(),this.destroyed){a();return}try{s()}catch{gl(this,us,Zp).call(this)}});const s=()=>{const o=new Uint8Array;n.send("test",o,[o.buffer])};s();return}catch{cy("The worker has been disabled.")}gl(this,us,Zp).call(this)},Zp=function(){ma(ga,qd)||(Jr("Setting up fake worker."),gs(ga,qd,!0)),ga._setupFakeWorkerGlobal.then(e=>{if(this.destroyed){ma(this,Su).reject(new Error("Worker was destroyed"));return}const t=new Ave;gs(this,vc,t);const n=`fake${j6(ga,Xb)._++}`,a=new Qp(n+"_worker",n,t);e.setup(a,t),gs(this,Vo,new Qp(n,n+"_worker",t)),gl(this,us,x_).call(this)}).catch(e=>{ma(this,Su).reject(new Error(`Setting up fake worker failed: "${e.message}".`))})},vf=new WeakSet,R_=function(){try{return globalThis.pdfjsWorker?.WorkerMessageHandler||null}catch{return null}},ml(ga,vf),ml(ga,Xb,0),ml(ga,qd,!1),ml(ga,Hd,new WeakMap),es&&(gs(ga,qd,!0),mf.workerSrc||="./pdf.worker.mjs"),ga._isSameOrigin=(e,t)=>{const n=URL.parse(e);if(!n?.origin||n.origin==="null")return!1;const a=new URL(t,n);return n.origin===a.origin},ga._createCDNWrapper=e=>{const t=`await import("${e}");`;return URL.createObjectURL(new Blob([t],{type:"text/javascript"}))},ga.fromPort=e=>{if(fve("`PDFWorker.fromPort` - please use `PDFWorker.create` instead."),!e?.port)throw new Error("PDFWorker.fromPort - invalid method signature.");return ga.create(e)};let Pm=ga;class gye{#e=new Map;#t=new Map;#r=new Map;#n=new Map;#i=null;constructor(e,t,n,a,i,s){this.messageHandler=e,this.loadingTask=t,this.commonObjs=new xz,this.fontLoader=new yve({ownerDocument:a.ownerDocument,styleElement:a.styleElement}),this.loadingParams=a.loadingParams,this._params=a,this.canvasFactory=i.canvasFactory,this.filterFactory=i.filterFactory,this.cMapReaderFactory=i.cMapReaderFactory,this.standardFontDataFactory=i.standardFontDataFactory,this.wasmFactory=i.wasmFactory,this.destroyed=!1,this.destroyCapability=null,this._networkStream=n,this._fullReader=null,this._lastProgress=null,this.downloadInfoCapability=Promise.withResolvers(),this.enableHWA=s,this.setupMessageHandler()}#a(e,t=null){const n=this.#e.get(e);if(n)return n;const a=this.messageHandler.sendWithPromise(e,t);return this.#e.set(e,a),a}get annotationStorage(){return bn(this,"annotationStorage",new _x)}getRenderingIntent(e,t=yu.ENABLE,n=null,a=!1,i=!1){let s=qs.DISPLAY,o=aA;switch(e){case"any":s=qs.ANY;break;case"display":break;case"print":s=qs.PRINT;break;default:Jr(`getRenderingIntent - invalid intent: ${e}`)}const l=s&qs.PRINT&&n instanceof mz?n:this.annotationStorage;switch(t){case yu.DISABLE:s+=qs.ANNOTATIONS_DISABLE;break;case yu.ENABLE:break;case yu.ENABLE_FORMS:s+=qs.ANNOTATIONS_FORMS;break;case yu.ENABLE_STORAGE:s+=qs.ANNOTATIONS_STORAGE,o=l.serializable;break;default:Jr(`getRenderingIntent - invalid annotationMode: ${t}`)}a&&(s+=qs.IS_EDITING),i&&(s+=qs.OPLIST);const{ids:c,hash:u}=l.modifiedIds,d=[s,o.hash,u];return{renderingIntent:s,cacheKey:d.join("_"),annotationStorageSerializable:o,modifiedIds:c}}destroy(){if(this.destroyCapability)return this.destroyCapability.promise;this.destroyed=!0,this.destroyCapability=Promise.withResolvers(),this.#i?.reject(new Error("Worker was destroyed during onPassword callback"));const e=[];for(const n of this.#t.values())e.push(n._destroy());this.#t.clear(),this.#r.clear(),this.#n.clear(),this.hasOwnProperty("annotationStorage")&&this.annotationStorage.resetModified();const t=this.messageHandler.sendWithPromise("Terminate",null);return e.push(t),Promise.all(e).then(()=>{this.commonObjs.clear(),this.fontLoader.clear(),this.#e.clear(),this.filterFactory.destroy(),Ji.cleanup(),this._networkStream?.cancelAllRequests(new Fu("Worker was terminated.")),this.messageHandler?.destroy(),this.messageHandler=null,this.destroyCapability.resolve()},this.destroyCapability.reject),this.destroyCapability.promise}setupMessageHandler(){const{messageHandler:e,loadingTask:t}=this;e.on("GetReader",(n,a)=>{Xa(this._networkStream,"GetReader - no `IPDFStream` instance available."),this._fullReader=this._networkStream.getFullReader(),this._fullReader.onProgress=i=>{this._lastProgress={loaded:i.loaded,total:i.total}},a.onPull=()=>{this._fullReader.read().then(function({value:i,done:s}){if(s){a.close();return}Xa(i instanceof ArrayBuffer,"GetReader - expected an ArrayBuffer."),a.enqueue(new Uint8Array(i),1,[i])}).catch(i=>{a.error(i)})},a.onCancel=i=>{this._fullReader.cancel(i),a.ready.catch(s=>{if(!this.destroyed)throw s})}}),e.on("ReaderHeadersReady",async n=>{await this._fullReader.headersReady;const{isStreamingSupported:a,isRangeSupported:i,contentLength:s}=this._fullReader;return(!a||!i)&&(this._lastProgress&&t.onProgress?.(this._lastProgress),this._fullReader.onProgress=o=>{t.onProgress?.({loaded:o.loaded,total:o.total})}),{isStreamingSupported:a,isRangeSupported:i,contentLength:s}}),e.on("GetRangeReader",(n,a)=>{Xa(this._networkStream,"GetRangeReader - no `IPDFStream` instance available.");const i=this._networkStream.getRangeReader(n.begin,n.end);if(!i){a.close();return}a.onPull=()=>{i.read().then(function({value:s,done:o}){if(o){a.close();return}Xa(s instanceof ArrayBuffer,"GetRangeReader - expected an ArrayBuffer."),a.enqueue(new Uint8Array(s),1,[s])}).catch(s=>{a.error(s)})},a.onCancel=s=>{i.cancel(s),a.ready.catch(o=>{if(!this.destroyed)throw o})}}),e.on("GetDoc",({pdfInfo:n})=>{this._numPages=n.numPages,this._htmlForXfa=n.htmlForXfa,delete n.htmlForXfa,t._capability.resolve(new pye(n,this))}),e.on("DocException",n=>{t._capability.reject(ys(n))}),e.on("PasswordRequest",n=>{this.#i=Promise.withResolvers();try{if(!t.onPassword)throw ys(n);const a=i=>{i instanceof Error?this.#i.reject(i):this.#i.resolve({password:i})};t.onPassword(a,n.code)}catch(a){this.#i.reject(a)}return this.#i.promise}),e.on("DataLoaded",n=>{t.onProgress?.({loaded:n.length,total:n.length}),this.downloadInfoCapability.resolve(n)}),e.on("StartRenderPage",n=>{if(this.destroyed)return;this.#t.get(n.pageIndex)._startRenderPage(n.transparency,n.cacheKey)}),e.on("commonobj",([n,a,i])=>{if(this.destroyed||this.commonObjs.has(n))return null;switch(a){case"Font":if("error"in i){const c=i.error;Jr(`Error during font loading: ${c}`),this.commonObjs.resolve(n,c);break}const s=this._params.pdfBug&&globalThis.FontInspector?.enabled?(c,u)=>globalThis.FontInspector.fontAdded(c,u):null,o=new Sve(i,s);this.fontLoader.bind(o).catch(()=>e.sendWithPromise("FontFallback",{id:n})).finally(()=>{!o.fontExtraProperties&&o.data&&(o.data=null),this.commonObjs.resolve(n,o)});break;case"CopyLocalImage":const{imageRef:l}=i;Xa(l,"The imageRef must be defined.");for(const c of this.#t.values())for(const[,u]of c.objs)if(u?.ref===l)return u.dataLen?(this.commonObjs.resolve(n,structuredClone(u)),u.dataLen):null;break;case"FontPath":case"Image":case"Pattern":this.commonObjs.resolve(n,i);break;default:throw new Error(`Got unknown common object type ${a}`)}return null}),e.on("obj",([n,a,i,s])=>{if(this.destroyed)return;const o=this.#t.get(a);if(!o.objs.has(n)){if(o._intentStates.size===0){s?.bitmap?.close();return}switch(i){case"Image":case"Pattern":o.objs.resolve(n,s);break;default:throw new Error(`Got unknown object type ${i}`)}}}),e.on("DocProgress",n=>{this.destroyed||t.onProgress?.({loaded:n.loaded,total:n.total})}),e.on("FetchBinaryData",async n=>{if(this.destroyed)throw new Error("Worker was destroyed.");const a=this[n.type];if(!a)throw new Error(`${n.type} not initialized, see the \`useWorkerFetch\` parameter.`);return a.fetch(n)})}getData(){return this.messageHandler.sendWithPromise("GetData",null)}saveDocument(){this.annotationStorage.size<=0&&Jr("saveDocument called while `annotationStorage` is empty, please use the getData-method instead.");const{map:e,transfer:t}=this.annotationStorage.serializable;return this.messageHandler.sendWithPromise("SaveDocument",{isPureXfa:!!this._htmlForXfa,numPages:this._numPages,annotationStorage:e,filename:this._fullReader?.filename??null},t).finally(()=>{this.annotationStorage.resetModified()})}getPage(e){if(!Number.isInteger(e)||e<=0||e>this._numPages)return Promise.reject(new Error("Invalid page request."));const t=e-1,n=this.#r.get(t);if(n)return n;const a=this.messageHandler.sendWithPromise("GetPage",{pageIndex:t}).then(i=>{if(this.destroyed)throw new Error("Transport destroyed");i.refStr&&this.#n.set(i.refStr,e);const s=new mye(t,i,this,this._params.pdfBug);return this.#t.set(t,s),s});return this.#r.set(t,a),a}getPageIndex(e){return iA(e)?this.messageHandler.sendWithPromise("GetPageIndex",{num:e.num,gen:e.gen}):Promise.reject(new Error("Invalid pageIndex request."))}getAnnotations(e,t){return this.messageHandler.sendWithPromise("GetAnnotations",{pageIndex:e,intent:t})}getFieldObjects(){return this.#a("GetFieldObjects")}hasJSActions(){return this.#a("HasJSActions")}getCalculationOrderIds(){return this.messageHandler.sendWithPromise("GetCalculationOrderIds",null)}getDestinations(){return this.messageHandler.sendWithPromise("GetDestinations",null)}getDestination(e){return typeof e!="string"?Promise.reject(new Error("Invalid destination request.")):this.messageHandler.sendWithPromise("GetDestination",{id:e})}getPageLabels(){return this.messageHandler.sendWithPromise("GetPageLabels",null)}getPageLayout(){return this.messageHandler.sendWithPromise("GetPageLayout",null)}getPageMode(){return this.messageHandler.sendWithPromise("GetPageMode",null)}getViewerPreferences(){return this.messageHandler.sendWithPromise("GetViewerPreferences",null)}getOpenAction(){return this.messageHandler.sendWithPromise("GetOpenAction",null)}getAttachments(){return this.messageHandler.sendWithPromise("GetAttachments",null)}getDocJSActions(){return this.#a("GetDocJSActions")}getPageJSActions(e){return this.messageHandler.sendWithPromise("GetPageJSActions",{pageIndex:e})}getStructTree(e){return this.messageHandler.sendWithPromise("GetStructTree",{pageIndex:e})}getOutline(){return this.messageHandler.sendWithPromise("GetOutline",null)}getOptionalContentConfig(e){return this.#a("GetOptionalContentConfig").then(t=>new jve(t,e))}getPermissions(){return this.messageHandler.sendWithPromise("GetPermissions",null)}getMetadata(){const e="GetMetadata",t=this.#e.get(e);if(t)return t;const n=this.messageHandler.sendWithPromise(e,null).then(a=>({info:a[0],metadata:a[1]?new Yve(a[1]):null,contentDispositionFilename:this._fullReader?.filename??null,contentLength:this._fullReader?.contentLength??null}));return this.#e.set(e,n),n}getMarkInfo(){return this.messageHandler.sendWithPromise("GetMarkInfo",null)}async startCleanup(e=!1){if(!this.destroyed){await this.messageHandler.sendWithPromise("Cleanup",null);for(const t of this.#t.values())if(!t.cleanup())throw new Error(`startCleanup: Page ${t.pageNumber} is currently rendering.`);this.commonObjs.clear(),e||this.fontLoader.clear(),this.#e.clear(),this.filterFactory.destroy(!0),Ji.cleanup()}}cachedPageNumber(e){if(!iA(e))return null;const t=e.gen===0?`${e.num}R`:`${e.num}R${e.gen}`;return this.#n.get(t)??null}}class _ye{#e=null;onContinue=null;onError=null;constructor(e){this.#e=e}get promise(){return this.#e.capability.promise}cancel(e=0){this.#e.cancel(null,e)}get separateAnnots(){const{separateAnnots:e}=this.#e.operatorList;if(!e)return!1;const{annotationCanvasMap:t}=this.#e;return e.form||e.canvas&&t?.size>0}}class ef{#e=null;static#t=new WeakSet;constructor({callback:e,params:t,objs:n,commonObjs:a,annotationCanvasMap:i,operatorList:s,pageIndex:o,canvasFactory:l,filterFactory:c,useRequestAnimationFrame:u=!1,pdfBug:d=!1,pageColors:h=null,enableHWA:p=!1}){this.callback=e,this.params=t,this.objs=n,this.commonObjs=a,this.annotationCanvasMap=i,this.operatorListIdx=null,this.operatorList=s,this._pageIndex=o,this.canvasFactory=l,this.filterFactory=c,this._pdfBug=d,this.pageColors=h,this.running=!1,this.graphicsReadyCallback=null,this.graphicsReady=!1,this._useRequestAnimationFrame=u===!0&&typeof window<"u",this.cancelled=!1,this.capability=Promise.withResolvers(),this.task=new _ye(this),this._cancelBound=this.cancel.bind(this),this._continueBound=this._continue.bind(this),this._scheduleNextBound=this._scheduleNext.bind(this),this._nextBound=this._next.bind(this),this._canvas=t.canvas,this._canvasContext=t.canvas?null:t.canvasContext,this._enableHWA=p}get completed(){return this.capability.promise.catch(function(){})}initializeGraphics({transparency:e=!1,optionalContentConfig:t}){if(this.cancelled)return;if(this._canvas){if(ef.#t.has(this._canvas))throw new Error("Cannot use the same canvas during multiple render() operations. Use different canvas or ensure previous operations were cancelled or completed.");ef.#t.add(this._canvas)}this._pdfBug&&globalThis.StepperManager?.enabled&&(this.stepper=globalThis.StepperManager.create(this._pageIndex),this.stepper.init(this.operatorList),this.stepper.nextBreakPoint=this.stepper.getNextBreakPoint());const{viewport:n,transform:a,background:i}=this.params,s=this._canvasContext||this._canvas.getContext("2d",{alpha:!1,willReadFrequently:!this._enableHWA});this.gfx=new pf(s,this.commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig:t},this.annotationCanvasMap,this.pageColors),this.gfx.beginDrawing({transform:a,viewport:n,transparency:e,background:i}),this.operatorListIdx=0,this.graphicsReady=!0,this.graphicsReadyCallback?.()}cancel(e=null,t=0){this.running=!1,this.cancelled=!0,this.gfx?.endDrawing(),this.#e&&(window.cancelAnimationFrame(this.#e),this.#e=null),ef.#t.delete(this._canvas),e||=new fx(`Rendering cancelled, page ${this._pageIndex+1}`,t),this.callback(e),this.task.onError?.(e)}operatorListChanged(){if(!this.graphicsReady){this.graphicsReadyCallback||=this._continueBound;return}this.stepper?.updateOperatorList(this.operatorList),!this.running&&this._continue()}_continue(){this.running=!0,!this.cancelled&&(this.task.onContinue?this.task.onContinue(this._scheduleNextBound):this._scheduleNext())}_scheduleNext(){this._useRequestAnimationFrame?this.#e=window.requestAnimationFrame(()=>{this.#e=null,this._nextBound().catch(this._cancelBound)}):Promise.resolve().then(this._nextBound).catch(this._cancelBound)}async _next(){this.cancelled||(this.operatorListIdx=this.gfx.executeOperatorList(this.operatorList,this.operatorListIdx,this._continueBound,this.stepper),this.operatorListIdx===this.operatorList.argsArray.length&&(this.running=!1,this.operatorList.lastChunk&&(this.gfx.endDrawing(),ef.#t.delete(this._canvas),this.callback())))}}const bye="5.4.54",vye="295fb3ec4";class Eo{#e=null;#t=null;#r;#n=null;#i=!1;#a=!1;#s=null;#o;#l=null;#c=null;static#d=null;static get _keyboardManager(){return bn(this,"_keyboardManager",new Tg([[["Escape","mac+Escape"],Eo.prototype._hideDropdownFromKeyboard],[[" ","mac+ "],Eo.prototype._colorSelectFromKeyboard],[["ArrowDown","ArrowRight","mac+ArrowDown","mac+ArrowRight"],Eo.prototype._moveToNext],[["ArrowUp","ArrowLeft","mac+ArrowUp","mac+ArrowLeft"],Eo.prototype._moveToPrevious],[["Home","mac+Home"],Eo.prototype._moveToBeginning],[["End","mac+End"],Eo.prototype._moveToEnd]]))}constructor({editor:e=null,uiManager:t=null}){e?(this.#a=!1,this.#s=e):this.#a=!0,this.#c=e?._uiManager||t,this.#o=this.#c._eventBus,this.#r=e?.color?.toUpperCase()||this.#c?.highlightColors.values().next().value||"#FFFF98",Eo.#d||=Object.freeze({blue:"pdfjs-editor-colorpicker-blue",green:"pdfjs-editor-colorpicker-green",pink:"pdfjs-editor-colorpicker-pink",red:"pdfjs-editor-colorpicker-red",yellow:"pdfjs-editor-colorpicker-yellow"})}renderButton(){const e=this.#e=document.createElement("button");e.className="colorPicker",e.tabIndex="0",e.setAttribute("data-l10n-id","pdfjs-editor-colorpicker-button"),e.ariaHasPopup="true",this.#s&&(e.ariaControls=`${this.#s.id}_colorpicker_dropdown`);const t=this.#c._signal;e.addEventListener("click",this.#f.bind(this),{signal:t}),e.addEventListener("keydown",this.#m.bind(this),{signal:t});const n=this.#t=document.createElement("span");return n.className="swatch",n.ariaHidden="true",n.style.backgroundColor=this.#r,e.append(n),e}renderMainDropdown(){const e=this.#n=this.#u();return e.ariaOrientation="horizontal",e.ariaLabelledBy="highlightColorPickerLabel",e}#u(){const e=document.createElement("div"),t=this.#c._signal;e.addEventListener("contextmenu",ko,{signal:t}),e.className="dropdown",e.role="listbox",e.ariaMultiSelectable="false",e.ariaOrientation="vertical",e.setAttribute("data-l10n-id","pdfjs-editor-colorpicker-dropdown"),this.#s&&(e.id=`${this.#s.id}_colorpicker_dropdown`);for(const[n,a]of this.#c.highlightColors){const i=document.createElement("button");i.tabIndex="0",i.role="option",i.setAttribute("data-color",a),i.title=n,i.setAttribute("data-l10n-id",Eo.#d[n]);const s=document.createElement("span");i.append(s),s.className="swatch",s.style.backgroundColor=a,i.ariaSelected=a===this.#r,i.addEventListener("click",this.#p.bind(this,a),{signal:t}),e.append(i)}return e.addEventListener("keydown",this.#m.bind(this),{signal:t}),e}#p(e,t){t.stopPropagation(),this.#o.dispatch("switchannotationeditorparams",{source:this,type:Mn.HIGHLIGHT_COLOR,value:e}),this.updateColor(e)}_colorSelectFromKeyboard(e){if(e.target===this.#e){this.#f(e);return}const t=e.target.getAttribute("data-color");t&&this.#p(t,e)}_moveToNext(e){if(!this.#g){this.#f(e);return}if(e.target===this.#e){this.#n.firstChild?.focus();return}e.target.nextSibling?.focus()}_moveToPrevious(e){if(e.target===this.#n?.firstChild||e.target===this.#e){this.#g&&this._hideDropdownFromKeyboard();return}this.#g||this.#f(e),e.target.previousSibling?.focus()}_moveToBeginning(e){if(!this.#g){this.#f(e);return}this.#n.firstChild?.focus()}_moveToEnd(e){if(!this.#g){this.#f(e);return}this.#n.lastChild?.focus()}#m(e){Eo._keyboardManager.exec(this,e)}#f(e){if(this.#g){this.hideDropdown();return}if(this.#i=e.detail===0,this.#l||(this.#l=new AbortController,window.addEventListener("pointerdown",this.#h.bind(this),{signal:this.#c.combinedSignal(this.#l)})),this.#e.ariaExpanded="true",this.#n){this.#n.classList.remove("hidden");return}const t=this.#n=this.#u();this.#e.append(t)}#h(e){this.#n?.contains(e.target)||this.hideDropdown()}hideDropdown(){this.#n?.classList.add("hidden"),this.#e.ariaExpanded="false",this.#l?.abort(),this.#l=null}get#g(){return this.#n&&!this.#n.classList.contains("hidden")}_hideDropdownFromKeyboard(){if(!this.#a){if(!this.#g){this.#s?.unselect();return}this.hideDropdown(),this.#e.focus({preventScroll:!0,focusVisible:this.#i})}}updateColor(e){if(this.#t&&(this.#t.style.backgroundColor=e),!this.#n)return;const t=this.#c.highlightColors.values();for(const n of this.#n.children)n.ariaSelected=t.next().value===e.toUpperCase()}destroy(){this.#e?.remove(),this.#e=null,this.#t=null,this.#n?.remove(),this.#n=null}}class Lm{#e=null;#t=null;#r=null;static#n=null;constructor(e){this.#t=e,this.#r=e._uiManager,Lm.#n||=Object.freeze({freetext:"pdfjs-editor-color-picker-free-text-input",ink:"pdfjs-editor-color-picker-ink-input"})}renderButton(){if(this.#e)return this.#e;const{editorType:e,colorType:t,colorValue:n}=this.#t,a=this.#e=document.createElement("input");return a.type="color",a.value=n||"#000000",a.className="basicColorPicker",a.tabIndex=0,a.setAttribute("data-l10n-id",Lm.#n[e]),a.addEventListener("input",()=>{this.#r.updateParams(t,a.value)},{signal:this.#r._signal}),a}update(e){this.#e&&(this.#e.value=e)}destroy(){this.#e?.remove(),this.#e=null}hideDropdown(){}}function LD(r){return Math.floor(Math.max(0,Math.min(1,r))*255).toString(16).padStart(2,"0")}function Dp(r){return Math.max(0,Math.min(255,255*r))}class FD{static CMYK_G([e,t,n,a]){return["G",1-Math.min(1,.3*e+.59*n+.11*t+a)]}static G_CMYK([e]){return["CMYK",0,0,0,1-e]}static G_RGB([e]){return["RGB",e,e,e]}static G_rgb([e]){return e=Dp(e),[e,e,e]}static G_HTML([e]){const t=LD(e);return`#${t}${t}${t}`}static RGB_G([e,t,n]){return["G",.3*e+.59*t+.11*n]}static RGB_rgb(e){return e.map(Dp)}static RGB_HTML(e){return`#${e.map(LD).join("")}`}static T_HTML(){return"#00000000"}static T_rgb(){return[null]}static CMYK_RGB([e,t,n,a]){return["RGB",1-Math.min(1,e+a),1-Math.min(1,n+a),1-Math.min(1,t+a)]}static CMYK_rgb([e,t,n,a]){return[Dp(1-Math.min(1,e+a)),Dp(1-Math.min(1,n+a)),Dp(1-Math.min(1,t+a))]}static CMYK_HTML(e){const t=this.CMYK_RGB(e).slice(1);return this.RGB_HTML(t)}static RGB_CMYK([e,t,n]){const a=1-e,i=1-t,s=1-n,o=Math.min(a,i,s);return["CMYK",a,i,s,o]}}class yye{create(e,t,n=!1){if(e<=0||t<=0)throw new Error("Invalid SVG dimensions");const a=this._createSVG("svg:svg");return a.setAttribute("version","1.1"),n||(a.setAttribute("width",`${e}px`),a.setAttribute("height",`${t}px`)),a.setAttribute("preserveAspectRatio","none"),a.setAttribute("viewBox",`0 0 ${e} ${t}`),a}createElement(e){if(typeof e!="string")throw new Error("Invalid SVG element type");return this._createSVG(e)}_createSVG(e){Zn("Abstract method `_createSVG` called.")}}class Db extends yye{_createSVG(e){return document.createElementNS(fc,e)}}class Iz{static setupStorage(e,t,n,a,i){const s=a.getValue(t,{value:null});switch(n.name){case"textarea":if(s.value!==null&&(e.textContent=s.value),i==="print")break;e.addEventListener("input",o=>{a.setValue(t,{value:o.target.value})});break;case"input":if(n.attributes.type==="radio"||n.attributes.type==="checkbox"){if(s.value===n.attributes.xfaOn?e.setAttribute("checked",!0):s.value===n.attributes.xfaOff&&e.removeAttribute("checked"),i==="print")break;e.addEventListener("change",o=>{a.setValue(t,{value:o.target.checked?o.target.getAttribute("xfaOn"):o.target.getAttribute("xfaOff")})})}else{if(s.value!==null&&e.setAttribute("value",s.value),i==="print")break;e.addEventListener("input",o=>{a.setValue(t,{value:o.target.value})})}break;case"select":if(s.value!==null){e.setAttribute("value",s.value);for(const o of n.children)o.attributes.value===s.value?o.attributes.selected=!0:o.attributes.hasOwnProperty("selected")&&delete o.attributes.selected}e.addEventListener("input",o=>{const l=o.target.options,c=l.selectedIndex===-1?"":l[l.selectedIndex].value;a.setValue(t,{value:c})});break}}static setAttributes({html:e,element:t,storage:n=null,intent:a,linkService:i}){const{attributes:s}=t,o=e instanceof HTMLAnchorElement;s.type==="radio"&&(s.name=`${s.name}-${a}`);for(const[l,c]of Object.entries(s))if(c!=null)switch(l){case"class":c.length&&e.setAttribute(l,c.join(" "));break;case"dataId":break;case"id":e.setAttribute("data-element-id",c);break;case"style":Object.assign(e.style,c);break;case"textContent":e.textContent=c;break;default:(!o||l!=="href"&&l!=="newWindow")&&e.setAttribute(l,c)}o&&i.addLinkAttributes(e,s.href,s.newWindow),n&&s.dataId&&this.setupStorage(e,s.dataId,t,n)}static render(e){const t=e.annotationStorage,n=e.linkService,a=e.xfaHtml,i=e.intent||"display",s=document.createElement(a.name);a.attributes&&this.setAttributes({html:s,element:a,intent:i,linkService:n});const o=i!=="richText",l=e.div;if(l.append(s),e.viewport){const d=`matrix(${e.viewport.transform.join(",")})`;l.style.transform=d}o&&l.setAttribute("class","xfaLayer xfaFont");const c=[];if(a.children.length===0){if(a.value){const d=document.createTextNode(a.value);s.append(d),o&&Dm.shouldBuildText(a.name)&&c.push(d)}return{textDivs:c}}const u=[[a,-1,s]];for(;u.length>0;){const[d,h,p]=u.at(-1);if(h+1===d.children.length){u.pop();continue}const m=d.children[++u.at(-1)[1]];if(m===null)continue;const{name:g}=m;if(g==="#text"){const _=document.createTextNode(m.value);c.push(_),p.append(_);continue}const b=m?.attributes?.xmlns?document.createElementNS(m.attributes.xmlns,g):document.createElement(g);if(p.append(b),m.attributes&&this.setAttributes({html:b,element:m,storage:t,intent:i,linkService:n}),m.children?.length>0)u.push([m,-1,b]);else if(m.value){const _=document.createTextNode(m.value);o&&Dm.shouldBuildText(g)&&c.push(_),b.append(_)}}for(const d of l.querySelectorAll(".xfaNonInteractive input, .xfaNonInteractive textarea"))d.setAttribute("readOnly",!0);return{textDivs:c}}static update(e){const t=`matrix(${e.viewport.transform.join(",")})`;e.div.style.transform=t,e.div.hidden=!1}}const Sye=9,Jd=new WeakSet,Eye=new Date().getTimezoneOffset()*60*1e3;class BD{static create(e){switch(e.data.annotationType){case Ha.LINK:return new wx(e);case Ha.TEXT:return new wye(e);case Ha.WIDGET:switch(e.data.fieldType){case"Tx":return new Tye(e);case"Btn":return e.data.radioButton?new kz(e):e.data.checkBox?new Aye(e):new xye(e);case"Ch":return new Rye(e);case"Sig":return new Cye(e)}return new uh(e);case Ha.POPUP:return new oA(e);case Ha.FREETEXT:return new Mz(e);case Ha.LINE:return new Nye(e);case Ha.SQUARE:return new Iye(e);case Ha.CIRCLE:return new kye(e);case Ha.POLYLINE:return new Dz(e);case Ha.CARET:return new Dye(e);case Ha.INK:return new Tx(e);case Ha.POLYGON:return new Mye(e);case Ha.HIGHLIGHT:return new Pz(e);case Ha.UNDERLINE:return new Pye(e);case Ha.SQUIGGLY:return new Lye(e);case Ha.STRIKEOUT:return new Fye(e);case Ha.STAMP:return new Lz(e);case Ha.FILEATTACHMENT:return new Bye(e);default:return new za(e)}}}class za{#e=null;#t=!1;#r=null;constructor(e,{isRenderable:t=!1,ignoreBorder:n=!1,createQuadrilaterals:a=!1}={}){this.isRenderable=t,this.data=e.data,this.layer=e.layer,this.linkService=e.linkService,this.downloadManager=e.downloadManager,this.imageResourcesPath=e.imageResourcesPath,this.renderForms=e.renderForms,this.svgFactory=e.svgFactory,this.annotationStorage=e.annotationStorage,this.enableScripting=e.enableScripting,this.hasJSActions=e.hasJSActions,this._fieldObjects=e.fieldObjects,this.parent=e.parent,t&&(this.container=this._createContainer(n)),a&&this._createQuadrilaterals()}static _hasPopupData({contentsObj:e,richText:t}){return!!(e?.str||t?.str)}get _isEditable(){return this.data.isEditable}get hasPopupData(){return za._hasPopupData(this.data)}updateEdited(e){if(!this.container)return;e.rect&&(this.#e||={rect:this.data.rect.slice(0)});const{rect:t,popup:n}=e;t&&this.#n(t);let a=this.#r?.popup||this.popup;!a&&n?.text&&(this._createPopup(n),a=this.#r.popup),a&&(a.updateEdited(e),n?.deleted&&(a.remove(),this.#r=null,this.popup=null))}resetEdited(){this.#e&&(this.#n(this.#e.rect),this.#r?.popup.resetEdited(),this.#e=null)}#n(e){const{container:{style:t},data:{rect:n,rotation:a},parent:{viewport:{rawDims:{pageWidth:i,pageHeight:s,pageX:o,pageY:l}}}}=this;n?.splice(0,4,...e),t.left=`${100*(e[0]-o)/i}%`,t.top=`${100*(s-e[3]+l)/s}%`,a===0?(t.width=`${100*(e[2]-e[0])/i}%`,t.height=`${100*(e[3]-e[1])/s}%`):this.setRotation(a)}_createContainer(e){const{data:t,parent:{page:n,viewport:a}}=this,i=document.createElement("section");i.setAttribute("data-annotation-id",t.id),!(this instanceof uh)&&!(this instanceof wx)&&(i.tabIndex=0);const{style:s}=i;if(s.zIndex=this.parent.zIndex++,t.alternativeText&&(i.title=t.alternativeText),t.noRotate&&i.classList.add("norotate"),!t.rect||this instanceof oA){const{rotation:g}=t;return!t.hasOwnCanvas&&g!==0&&this.setRotation(g,i),i}const{width:o,height:l}=this;if(!e&&t.borderStyle.width>0){s.borderWidth=`${t.borderStyle.width}px`;const g=t.borderStyle.horizontalCornerRadius,b=t.borderStyle.verticalCornerRadius;if(g>0||b>0){const v=`calc(${g}px * var(--total-scale-factor)) / calc(${b}px * var(--total-scale-factor))`;s.borderRadius=v}else if(this instanceof kz){const v=`calc(${o}px * var(--total-scale-factor)) / calc(${l}px * var(--total-scale-factor))`;s.borderRadius=v}switch(t.borderStyle.style){case Gh.SOLID:s.borderStyle="solid";break;case Gh.DASHED:s.borderStyle="dashed";break;case Gh.BEVELED:Jr("Unimplemented border style: beveled");break;case Gh.INSET:Jr("Unimplemented border style: inset");break;case Gh.UNDERLINE:s.borderBottomStyle="solid";break}const _=t.borderColor||null;_?(this.#t=!0,s.borderColor=Dr.makeHexColor(_[0]|0,_[1]|0,_[2]|0)):s.borderWidth=0}const c=Dr.normalizeRect([t.rect[0],n.view[3]-t.rect[1]+n.view[1],t.rect[2],n.view[3]-t.rect[3]+n.view[1]]),{pageWidth:u,pageHeight:d,pageX:h,pageY:p}=a.rawDims;s.left=`${100*(c[0]-h)/u}%`,s.top=`${100*(c[1]-p)/d}%`;const{rotation:m}=t;return t.hasOwnCanvas||m===0?(s.width=`${100*o/u}%`,s.height=`${100*l/d}%`):this.setRotation(m,i),i}setRotation(e,t=this.container){if(!this.data.rect)return;const{pageWidth:n,pageHeight:a}=this.parent.viewport.rawDims;let{width:i,height:s}=this;e%180!==0&&([i,s]=[s,i]),t.style.width=`${100*i/n}%`,t.style.height=`${100*s/a}%`,t.setAttribute("data-main-rotation",(360-e)%360)}get _commonActions(){const e=(t,n,a)=>{const i=a.detail[t],s=i[0],o=i.slice(1);a.target.style[n]=FD[`${s}_HTML`](o),this.annotationStorage.setValue(this.data.id,{[n]:FD[`${s}_rgb`](o)})};return bn(this,"_commonActions",{display:t=>{const{display:n}=t.detail,a=n%2===1;this.container.style.visibility=a?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noView:a,noPrint:n===1||n===2})},print:t=>{this.annotationStorage.setValue(this.data.id,{noPrint:!t.detail.print})},hidden:t=>{const{hidden:n}=t.detail;this.container.style.visibility=n?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noPrint:n,noView:n})},focus:t=>{setTimeout(()=>t.target.focus({preventScroll:!1}),0)},userName:t=>{t.target.title=t.detail.userName},readonly:t=>{t.target.disabled=t.detail.readonly},required:t=>{this._setRequired(t.target,t.detail.required)},bgColor:t=>{e("bgColor","backgroundColor",t)},fillColor:t=>{e("fillColor","backgroundColor",t)},fgColor:t=>{e("fgColor","color",t)},textColor:t=>{e("textColor","color",t)},borderColor:t=>{e("borderColor","borderColor",t)},strokeColor:t=>{e("strokeColor","borderColor",t)},rotation:t=>{const n=t.detail.rotation;this.setRotation(n),this.annotationStorage.setValue(this.data.id,{rotation:n})}})}_dispatchEventFromSandbox(e,t){const n=this._commonActions;for(const a of Object.keys(t.detail))(e[a]||n[a])?.(t)}_setDefaultPropertiesFromJS(e){if(!this.enableScripting)return;const t=this.annotationStorage.getRawValue(this.data.id);if(!t)return;const n=this._commonActions;for(const[a,i]of Object.entries(t)){const s=n[a];if(s){const o={detail:{[a]:i},target:e};s(o),delete t[a]}}}_createQuadrilaterals(){if(!this.container)return;const{quadPoints:e}=this.data;if(!e)return;const[t,n,a,i]=this.data.rect.map(g=>Math.fround(g));if(e.length===8){const[g,b,_,v]=e.subarray(2,6);if(a===g&&i===b&&t===_&&n===v)return}const{style:s}=this.container;let o;if(this.#t){const{borderColor:g,borderWidth:b}=s;s.borderWidth=0,o=["url('data:image/svg+xml;utf8,",'<svg xmlns="http://www.w3.org/2000/svg"',' preserveAspectRatio="none" viewBox="0 0 1 1">',`<g fill="transparent" stroke="${g}" stroke-width="${b}">`],this.container.classList.add("hasBorder")}const l=a-t,c=i-n,{svgFactory:u}=this,d=u.createElement("svg");d.classList.add("quadrilateralsContainer"),d.setAttribute("width",0),d.setAttribute("height",0),d.role="none";const h=u.createElement("defs");d.append(h);const p=u.createElement("clipPath"),m=`clippath_${this.data.id}`;p.setAttribute("id",m),p.setAttribute("clipPathUnits","objectBoundingBox"),h.append(p);for(let g=2,b=e.length;g<b;g+=8){const _=e[g],v=e[g+1],y=e[g+2],E=e[g+3],S=u.createElement("rect"),w=(y-t)/l,C=(i-v)/c,x=(_-y)/l,N=(v-E)/c;S.setAttribute("x",w),S.setAttribute("y",C),S.setAttribute("width",x),S.setAttribute("height",N),p.append(S),o?.push(`<rect vector-effect="non-scaling-stroke" x="${w}" y="${C}" width="${x}" height="${N}"/>`)}this.#t&&(o.push("</g></svg>')"),s.backgroundImage=o.join("")),this.container.append(d),this.container.style.clipPath=`url(#${m})`}_createPopup(e=null){const{data:t}=this;let n,a;e?(n={str:e.text},a=e.date):(n=t.contentsObj,a=t.modificationDate);const i=this.#r=new oA({data:{color:t.color,titleObj:t.titleObj,modificationDate:a,contentsObj:n,richText:t.richText,parentRect:t.rect,borderStyle:0,id:`popup_${t.id}`,rotation:t.rotation,noRotate:!0},linkService:this.linkService,parent:this.parent,elements:[this]});this.parent.div.append(i.render())}get hasPopupElement(){return!!(this.#r||this.popup||this.data.popupRef)}render(){Zn("Abstract method `AnnotationElement.render` called")}_getElementsByName(e,t=null){const n=[];if(this._fieldObjects){const a=this._fieldObjects[e];if(a)for(const{page:i,id:s,exportValues:o}of a){if(i===-1||s===t)continue;const l=typeof o=="string"?o:null,c=document.querySelector(`[data-element-id="${s}"]`);if(c&&!Jd.has(c)){Jr(`_getElementsByName - element not allowed: ${s}`);continue}n.push({id:s,exportValue:l,domElement:c})}return n}for(const a of document.getElementsByName(e)){const{exportValue:i}=a,s=a.getAttribute("data-element-id");s!==t&&Jd.has(a)&&n.push({id:s,exportValue:i,domElement:a})}return n}show(){this.container&&(this.container.hidden=!1),this.popup?.maybeShow()}hide(){this.container&&(this.container.hidden=!0),this.popup?.forceHide()}getElementsToTriggerPopup(){return this.container}addHighlightArea(){const e=this.getElementsToTriggerPopup();if(Array.isArray(e))for(const t of e)t.classList.add("highlightArea");else e.classList.add("highlightArea")}_editOnDoubleClick(){if(!this._isEditable)return;const{annotationEditorType:e,data:{id:t}}=this;this.container.addEventListener("dblclick",()=>{this.linkService.eventBus?.dispatch("switchannotationeditormode",{source:this,mode:e,editId:t,mustEnterInEditMode:!0})})}get width(){return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class wx extends za{constructor(e,t=null){super(e,{isRenderable:!0,ignoreBorder:!!t?.ignoreBorder,createQuadrilaterals:!0}),this.isTooltipOnly=e.data.isTooltipOnly}render(){const{data:e,linkService:t}=this,n=document.createElement("a");n.setAttribute("data-element-id",e.id);let a=!1;return e.url?(t.addLinkAttributes(n,e.url,e.newWindow),a=!0):e.action?(this._bindNamedAction(n,e.action,e.overlaidText),a=!0):e.attachment?(this.#t(n,e.attachment,e.overlaidText,e.attachmentDest),a=!0):e.setOCGState?(this.#r(n,e.setOCGState,e.overlaidText),a=!0):e.dest?(this._bindLink(n,e.dest,e.overlaidText),a=!0):(e.actions&&(e.actions.Action||e.actions["Mouse Up"]||e.actions["Mouse Down"])&&this.enableScripting&&this.hasJSActions&&(this._bindJSAction(n,e),a=!0),e.resetForm?(this._bindResetFormAction(n,e.resetForm),a=!0):this.isTooltipOnly&&!a&&(this._bindLink(n,""),a=!0)),this.container.classList.add("linkAnnotation"),a&&this.container.append(n),this.container}#e(){this.container.setAttribute("data-internal-link","")}_bindLink(e,t,n=""){e.href=this.linkService.getDestinationHash(t),e.onclick=()=>(t&&this.linkService.goToDestination(t),!1),(t||t==="")&&this.#e(),n&&(e.title=n)}_bindNamedAction(e,t,n=""){e.href=this.linkService.getAnchorUrl(""),e.onclick=()=>(this.linkService.executeNamedAction(t),!1),n&&(e.title=n),this.#e()}#t(e,t,n="",a=null){e.href=this.linkService.getAnchorUrl(""),t.description?e.title=t.description:n&&(e.title=n),e.onclick=()=>(this.downloadManager?.openOrDownloadData(t.content,t.filename,a),!1),this.#e()}#r(e,t,n=""){e.href=this.linkService.getAnchorUrl(""),e.onclick=()=>(this.linkService.executeSetOCGState(t),!1),n&&(e.title=n),this.#e()}_bindJSAction(e,t){e.href=this.linkService.getAnchorUrl("");const n=new Map([["Action","onclick"],["Mouse Up","onmouseup"],["Mouse Down","onmousedown"]]);for(const a of Object.keys(t.actions)){const i=n.get(a);i&&(e[i]=()=>(this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t.id,name:a}}),!1))}t.overlaidText&&(e.title=t.overlaidText),e.onclick||(e.onclick=()=>!1),this.#e()}_bindResetFormAction(e,t){const n=e.onclick;if(n||(e.href=this.linkService.getAnchorUrl("")),this.#e(),!this._fieldObjects){Jr('_bindResetFormAction - "resetForm" action not supported, ensure that the `fieldObjects` parameter is provided.'),n||(e.onclick=()=>!1);return}e.onclick=()=>{n?.();const{fields:a,refs:i,include:s}=t,o=[];if(a.length!==0||i.length!==0){const u=new Set(i);for(const d of a){const h=this._fieldObjects[d]||[];for(const{id:p}of h)u.add(p)}for(const d of Object.values(this._fieldObjects))for(const h of d)u.has(h.id)===s&&o.push(h)}else for(const u of Object.values(this._fieldObjects))o.push(...u);const l=this.annotationStorage,c=[];for(const u of o){const{id:d}=u;switch(c.push(d),u.type){case"text":{const p=u.defaultValue||"";l.setValue(d,{value:p});break}case"checkbox":case"radiobutton":{const p=u.defaultValue===u.exportValues;l.setValue(d,{value:p});break}case"combobox":case"listbox":{const p=u.defaultValue||"";l.setValue(d,{value:p});break}default:continue}const h=document.querySelector(`[data-element-id="${d}"]`);if(h){if(!Jd.has(h)){Jr(`_bindResetFormAction - element not allowed: ${d}`);continue}}else continue;h.dispatchEvent(new Event("resetform"))}return this.enableScripting&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:"app",ids:c,name:"ResetForm"}}),!1}}}class wye extends za{constructor(e){super(e,{isRenderable:!0})}render(){this.container.classList.add("textAnnotation");const e=document.createElement("img");return e.src=this.imageResourcesPath+"annotation-"+this.data.name.toLowerCase()+".svg",e.setAttribute("data-l10n-id","pdfjs-text-annotation-type"),e.setAttribute("data-l10n-args",JSON.stringify({type:this.data.name})),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container.append(e),this.container}}class uh extends za{render(){return this.container}showElementAndHideCanvas(e){this.data.hasOwnCanvas&&(e.previousSibling?.nodeName==="CANVAS"&&(e.previousSibling.hidden=!0),e.hidden=!1)}_getKeyModifier(e){return Mi.platform.isMac?e.metaKey:e.ctrlKey}_setEventListener(e,t,n,a,i){n.includes("mouse")?e.addEventListener(n,s=>{this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:a,value:i(s),shift:s.shiftKey,modifier:this._getKeyModifier(s)}})}):e.addEventListener(n,s=>{if(n==="blur"){if(!t.focused||!s.relatedTarget)return;t.focused=!1}else if(n==="focus"){if(t.focused)return;t.focused=!0}i&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:a,value:i(s)}})})}_setEventListeners(e,t,n,a){for(const[i,s]of n)(s==="Action"||this.data.actions?.[s])&&((s==="Focus"||s==="Blur")&&(t||={focused:!1}),this._setEventListener(e,t,i,s,a),s==="Focus"&&!this.data.actions?.Blur?this._setEventListener(e,t,"blur","Blur",null):s==="Blur"&&!this.data.actions?.Focus&&this._setEventListener(e,t,"focus","Focus",null))}_setBackgroundColor(e){const t=this.data.backgroundColor||null;e.style.backgroundColor=t===null?"transparent":Dr.makeHexColor(t[0],t[1],t[2])}_setTextStyle(e){const t=["left","center","right"],{fontColor:n}=this.data.defaultAppearanceData,a=this.data.defaultAppearanceData.fontSize||Sye,i=e.style;let s;const o=2,l=c=>Math.round(10*c)/10;if(this.data.multiLine){const c=Math.abs(this.data.rect[3]-this.data.rect[1]-o),u=Math.round(c/(IT*a))||1,d=c/u;s=Math.min(a,l(d/IT))}else{const c=Math.abs(this.data.rect[3]-this.data.rect[1]-o);s=Math.min(a,l(c/IT))}i.fontSize=`calc(${s}px * var(--total-scale-factor))`,i.color=Dr.makeHexColor(n[0],n[1],n[2]),this.data.textAlignment!==null&&(i.textAlign=t[this.data.textAlignment])}_setRequired(e,t){t?e.setAttribute("required",!0):e.removeAttribute("required"),e.setAttribute("aria-required",t)}}class Tye extends uh{constructor(e){const t=e.renderForms||e.data.hasOwnCanvas||!e.data.hasAppearance&&!!e.data.fieldValue;super(e,{isRenderable:t})}setPropertyOnSiblings(e,t,n,a){const i=this.annotationStorage;for(const s of this._getElementsByName(e.name,e.id))s.domElement&&(s.domElement[t]=n),i.setValue(s.id,{[a]:n})}render(){const e=this.annotationStorage,t=this.data.id;this.container.classList.add("textWidgetAnnotation");let n=null;if(this.renderForms){const a=e.getValue(t,{value:this.data.fieldValue});let i=a.value||"";const s=e.getValue(t,{charLimit:this.data.maxLen}).charLimit;s&&i.length>s&&(i=i.slice(0,s));let o=a.formattedValue||this.data.textContent?.join(`
-`)||null;o&&this.data.comb&&(o=o.replaceAll(/\s+/g,""));const l={userValue:i,formattedValue:o,lastCommittedValue:null,commitKey:1,focused:!1};this.data.multiLine?(n=document.createElement("textarea"),n.textContent=o??i,this.data.doNotScroll&&(n.style.overflowY="hidden")):(n=document.createElement("input"),n.type=this.data.password?"password":"text",n.setAttribute("value",o??i),this.data.doNotScroll&&(n.style.overflowX="hidden")),this.data.hasOwnCanvas&&(n.hidden=!0),Jd.add(n),n.setAttribute("data-element-id",t),n.disabled=this.data.readOnly,n.name=this.data.fieldName,n.tabIndex=0;const{datetimeFormat:c,datetimeType:u,timeStep:d}=this.data,h=!!u&&this.enableScripting;c&&(n.title=c),this._setRequired(n,this.data.required),s&&(n.maxLength=s),n.addEventListener("input",m=>{e.setValue(t,{value:m.target.value}),this.setPropertyOnSiblings(n,"value",m.target.value,"value"),l.formattedValue=null}),n.addEventListener("resetform",m=>{const g=this.data.defaultFieldValue??"";n.value=l.userValue=g,l.formattedValue=null});let p=m=>{const{formattedValue:g}=l;g!=null&&(m.target.value=g),m.target.scrollLeft=0};if(this.enableScripting&&this.hasJSActions){n.addEventListener("focus",g=>{if(l.focused)return;const{target:b}=g;if(h&&(b.type=u,d&&(b.step=d)),l.userValue){const _=l.userValue;if(h)if(u==="time"){const v=new Date(_),y=[v.getHours(),v.getMinutes(),v.getSeconds()];b.value=y.map(E=>E.toString().padStart(2,"0")).join(":")}else b.value=new Date(_-Eye).toISOString().split(u==="date"?"T":".",1)[0];else b.value=_}l.lastCommittedValue=b.value,l.commitKey=1,this.data.actions?.Focus||(l.focused=!0)}),n.addEventListener("updatefromsandbox",g=>{this.showElementAndHideCanvas(g.target);const b={value(_){l.userValue=_.detail.value??"",h||e.setValue(t,{value:l.userValue.toString()}),_.target.value=l.userValue},formattedValue(_){const{formattedValue:v}=_.detail;l.formattedValue=v,v!=null&&_.target!==document.activeElement&&(_.target.value=v);const y={formattedValue:v};h&&(y.value=v),e.setValue(t,y)},selRange(_){_.target.setSelectionRange(..._.detail.selRange)},charLimit:_=>{const{charLimit:v}=_.detail,{target:y}=_;if(v===0){y.removeAttribute("maxLength");return}y.setAttribute("maxLength",v);let E=l.userValue;!E||E.length<=v||(E=E.slice(0,v),y.value=l.userValue=E,e.setValue(t,{value:E}),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t,name:"Keystroke",value:E,willCommit:!0,commitKey:1,selStart:y.selectionStart,selEnd:y.selectionEnd}}))}};this._dispatchEventFromSandbox(b,g)}),n.addEventListener("keydown",g=>{l.commitKey=1;let b=-1;if(g.key==="Escape"?b=0:g.key==="Enter"&&!this.data.multiLine?b=2:g.key==="Tab"&&(l.commitKey=3),b===-1)return;const{value:_}=g.target;l.lastCommittedValue!==_&&(l.lastCommittedValue=_,l.userValue=_,this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t,name:"Keystroke",value:_,willCommit:!0,commitKey:b,selStart:g.target.selectionStart,selEnd:g.target.selectionEnd}}))});const m=p;p=null,n.addEventListener("blur",g=>{if(!l.focused||!g.relatedTarget)return;this.data.actions?.Blur||(l.focused=!1);const{target:b}=g;let{value:_}=b;if(h){if(_&&u==="time"){const v=_.split(":").map(y=>parseInt(y,10));_=new Date(2e3,0,1,v[0],v[1],v[2]||0).valueOf(),b.step=""}else _=new Date(_).valueOf();b.type="text"}l.userValue=_,l.lastCommittedValue!==_&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t,name:"Keystroke",value:_,willCommit:!0,commitKey:l.commitKey,selStart:g.target.selectionStart,selEnd:g.target.selectionEnd}}),m(g)}),this.data.actions?.Keystroke&&n.addEventListener("beforeinput",g=>{l.lastCommittedValue=null;const{data:b,target:_}=g,{value:v,selectionStart:y,selectionEnd:E}=_;let S=y,w=E;switch(g.inputType){case"deleteWordBackward":{const C=v.substring(0,y).match(/\w*[^\w]*$/);C&&(S-=C[0].length);break}case"deleteWordForward":{const C=v.substring(y).match(/^[^\w]*\w*/);C&&(w+=C[0].length);break}case"deleteContentBackward":y===E&&(S-=1);break;case"deleteContentForward":y===E&&(w+=1);break}g.preventDefault(),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t,name:"Keystroke",value:v,change:b||"",willCommit:!1,selStart:S,selEnd:w}})}),this._setEventListeners(n,l,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],g=>g.target.value)}if(p&&n.addEventListener("blur",p),this.data.comb){const g=(this.data.rect[2]-this.data.rect[0])/s;n.classList.add("comb"),n.style.letterSpacing=`calc(${g}px * var(--total-scale-factor) - 1ch)`}}else n=document.createElement("div"),n.textContent=this.data.fieldValue,n.style.verticalAlign="middle",n.style.display="table-cell",this.data.hasOwnCanvas&&(n.hidden=!0);return this._setTextStyle(n),this._setBackgroundColor(n),this._setDefaultPropertiesFromJS(n),this.container.append(n),this.container}}class Cye extends uh{constructor(e){super(e,{isRenderable:!!e.data.hasOwnCanvas})}}class Aye extends uh{constructor(e){super(e,{isRenderable:e.renderForms})}render(){const e=this.annotationStorage,t=this.data,n=t.id;let a=e.getValue(n,{value:t.exportValue===t.fieldValue}).value;typeof a=="string"&&(a=a!=="Off",e.setValue(n,{value:a})),this.container.classList.add("buttonWidgetAnnotation","checkBox");const i=document.createElement("input");return Jd.add(i),i.setAttribute("data-element-id",n),i.disabled=t.readOnly,this._setRequired(i,this.data.required),i.type="checkbox",i.name=t.fieldName,a&&i.setAttribute("checked",!0),i.setAttribute("exportValue",t.exportValue),i.tabIndex=0,i.addEventListener("change",s=>{const{name:o,checked:l}=s.target;for(const c of this._getElementsByName(o,n)){const u=l&&c.exportValue===t.exportValue;c.domElement&&(c.domElement.checked=u),e.setValue(c.id,{value:u})}e.setValue(n,{value:l})}),i.addEventListener("resetform",s=>{const o=t.defaultFieldValue||"Off";s.target.checked=o===t.exportValue}),this.enableScripting&&this.hasJSActions&&(i.addEventListener("updatefromsandbox",s=>{const o={value(l){l.target.checked=l.detail.value!=="Off",e.setValue(n,{value:l.target.checked})}};this._dispatchEventFromSandbox(o,s)}),this._setEventListeners(i,null,[["change","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],s=>s.target.checked)),this._setBackgroundColor(i),this._setDefaultPropertiesFromJS(i),this.container.append(i),this.container}}class kz extends uh{constructor(e){super(e,{isRenderable:e.renderForms})}render(){this.container.classList.add("buttonWidgetAnnotation","radioButton");const e=this.annotationStorage,t=this.data,n=t.id;let a=e.getValue(n,{value:t.fieldValue===t.buttonValue}).value;if(typeof a=="string"&&(a=a!==t.buttonValue,e.setValue(n,{value:a})),a)for(const s of this._getElementsByName(t.fieldName,n))e.setValue(s.id,{value:!1});const i=document.createElement("input");if(Jd.add(i),i.setAttribute("data-element-id",n),i.disabled=t.readOnly,this._setRequired(i,this.data.required),i.type="radio",i.name=t.fieldName,a&&i.setAttribute("checked",!0),i.tabIndex=0,i.addEventListener("change",s=>{const{name:o,checked:l}=s.target;for(const c of this._getElementsByName(o,n))e.setValue(c.id,{value:!1});e.setValue(n,{value:l})}),i.addEventListener("resetform",s=>{const o=t.defaultFieldValue;s.target.checked=o!=null&&o===t.buttonValue}),this.enableScripting&&this.hasJSActions){const s=t.buttonValue;i.addEventListener("updatefromsandbox",o=>{const l={value:c=>{const u=s===c.detail.value;for(const d of this._getElementsByName(c.target.name)){const h=u&&d.id===n;d.domElement&&(d.domElement.checked=h),e.setValue(d.id,{value:h})}}};this._dispatchEventFromSandbox(l,o)}),this._setEventListeners(i,null,[["change","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],o=>o.target.checked)}return this._setBackgroundColor(i),this._setDefaultPropertiesFromJS(i),this.container.append(i),this.container}}class xye extends wx{constructor(e){super(e,{ignoreBorder:e.data.hasAppearance})}render(){const e=super.render();e.classList.add("buttonWidgetAnnotation","pushButton");const t=e.lastChild;return this.enableScripting&&this.hasJSActions&&t&&(this._setDefaultPropertiesFromJS(t),t.addEventListener("updatefromsandbox",n=>{this._dispatchEventFromSandbox({},n)})),e}}class Rye extends uh{constructor(e){super(e,{isRenderable:e.renderForms})}render(){this.container.classList.add("choiceWidgetAnnotation");const e=this.annotationStorage,t=this.data.id,n=e.getValue(t,{value:this.data.fieldValue}),a=document.createElement("select");Jd.add(a),a.setAttribute("data-element-id",t),a.disabled=this.data.readOnly,this._setRequired(a,this.data.required),a.name=this.data.fieldName,a.tabIndex=0;let i=this.data.combo&&this.data.options.length>0;this.data.combo||(a.size=this.data.options.length,this.data.multiSelect&&(a.multiple=!0)),a.addEventListener("resetform",u=>{const d=this.data.defaultFieldValue;for(const h of a.options)h.selected=h.value===d});for(const u of this.data.options){const d=document.createElement("option");d.textContent=u.displayValue,d.value=u.exportValue,n.value.includes(u.exportValue)&&(d.setAttribute("selected",!0),i=!1),a.append(d)}let s=null;if(i){const u=document.createElement("option");u.value=" ",u.setAttribute("hidden",!0),u.setAttribute("selected",!0),a.prepend(u),s=()=>{u.remove(),a.removeEventListener("input",s),s=null},a.addEventListener("input",s)}const o=u=>{const d=u?"value":"textContent",{options:h,multiple:p}=a;return p?Array.prototype.filter.call(h,m=>m.selected).map(m=>m[d]):h.selectedIndex===-1?null:h[h.selectedIndex][d]};let l=o(!1);const c=u=>{const d=u.target.options;return Array.prototype.map.call(d,h=>({displayValue:h.textContent,exportValue:h.value}))};return this.enableScripting&&this.hasJSActions?(a.addEventListener("updatefromsandbox",u=>{const d={value(h){s?.();const p=h.detail.value,m=new Set(Array.isArray(p)?p:[p]);for(const g of a.options)g.selected=m.has(g.value);e.setValue(t,{value:o(!0)}),l=o(!1)},multipleSelection(h){a.multiple=!0},remove(h){const p=a.options,m=h.detail.remove;p[m].selected=!1,a.remove(m),p.length>0&&Array.prototype.findIndex.call(p,b=>b.selected)===-1&&(p[0].selected=!0),e.setValue(t,{value:o(!0),items:c(h)}),l=o(!1)},clear(h){for(;a.length!==0;)a.remove(0);e.setValue(t,{value:null,items:[]}),l=o(!1)},insert(h){const{index:p,displayValue:m,exportValue:g}=h.detail.insert,b=a.children[p],_=document.createElement("option");_.textContent=m,_.value=g,b?b.before(_):a.append(_),e.setValue(t,{value:o(!0),items:c(h)}),l=o(!1)},items(h){const{items:p}=h.detail;for(;a.length!==0;)a.remove(0);for(const m of p){const{displayValue:g,exportValue:b}=m,_=document.createElement("option");_.textContent=g,_.value=b,a.append(_)}a.options.length>0&&(a.options[0].selected=!0),e.setValue(t,{value:o(!0),items:c(h)}),l=o(!1)},indices(h){const p=new Set(h.detail.indices);for(const m of h.target.options)m.selected=p.has(m.index);e.setValue(t,{value:o(!0)}),l=o(!1)},editable(h){h.target.disabled=!h.detail.editable}};this._dispatchEventFromSandbox(d,u)}),a.addEventListener("input",u=>{const d=o(!0),h=o(!1);e.setValue(t,{value:d}),u.preventDefault(),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:t,name:"Keystroke",value:l,change:h,changeEx:d,willCommit:!1,commitKey:1,keyDown:!1}})}),this._setEventListeners(a,null,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"],["input","Action"],["input","Validate"]],u=>u.target.value)):a.addEventListener("input",function(u){e.setValue(t,{value:o(!0)})}),this.data.combo&&this._setTextStyle(a),this._setBackgroundColor(a),this._setDefaultPropertiesFromJS(a),this.container.append(a),this.container}}class oA extends za{constructor(e){const{data:t,elements:n}=e;super(e,{isRenderable:za._hasPopupData(t)}),this.elements=n,this.popup=null}render(){const{container:e}=this;e.classList.add("popupAnnotation"),e.role="comment";const t=this.popup=new Oye({container:this.container,color:this.data.color,titleObj:this.data.titleObj,modificationDate:this.data.modificationDate||this.data.creationDate,contentsObj:this.data.contentsObj,richText:this.data.richText,rect:this.data.rect,parentRect:this.data.parentRect||null,parent:this.parent,elements:this.elements,open:this.data.open}),n=[];for(const a of this.elements)a.popup=t,a.container.ariaHasPopup="dialog",n.push(a.data.id),a.addHighlightArea();return this.container.setAttribute("aria-controls",n.map(a=>`${hx}${a}`).join(",")),this.container}}class Oye{#e=this.#N.bind(this);#t=this.#k.bind(this);#r=this.#x.bind(this);#n=this.#R.bind(this);#i=null;#a=null;#s=null;#o=null;#l=null;#c=null;#d=null;#u=!1;#p=null;#m=null;#f=null;#h=null;#g=null;#v=null;#_=null;#y=!1;constructor({container:e,color:t,elements:n,titleObj:a,modificationDate:i,contentsObj:s,richText:o,parent:l,rect:c,parentRect:u,open:d}){this.#a=e,this.#v=a,this.#s=s,this.#g=o,this.#c=l,this.#i=t,this.#h=c,this.#d=u,this.#l=n,this.#o=rA.toDateObject(i),this.trigger=n.flatMap(h=>h.getElementsToTriggerPopup()),this.#S(),this.#a.hidden=!0,d&&this.#R()}#S(){if(this.#m)return;this.#m=new AbortController;const{signal:e}=this.#m;for(const t of this.trigger)t.addEventListener("click",this.#n,{signal:e}),t.addEventListener("mouseenter",this.#r,{signal:e}),t.addEventListener("mouseleave",this.#t,{signal:e}),t.classList.add("popupTriggerArea");for(const t of this.#l)t.container?.addEventListener("keydown",this.#e,{signal:e})}render(){if(this.#p)return;const e=this.#p=document.createElement("div");if(e.className="popup",this.#i){const a=e.style.outlineColor=Dr.makeHexColor(...this.#i);e.style.backgroundColor=`color-mix(in srgb, ${a} 30%, white)`}const t=document.createElement("span");if(t.className="header",this.#v?.str){const a=document.createElement("span");a.className="title",t.append(a),{dir:a.dir,str:a.textContent}=this.#v}if(e.append(t),this.#o){const a=document.createElement("time");a.className="popupDate",a.setAttribute("data-l10n-id","pdfjs-annotation-date-time-string"),a.setAttribute("data-l10n-args",JSON.stringify({dateObj:this.#o.valueOf()})),a.dateTime=this.#o.toISOString(),t.append(a)}const n=this.#b;if(n)Iz.render({xfaHtml:n,intent:"richText",div:e}),e.lastChild.classList.add("richText","popupContent");else{const a=this._formatContents(this.#s);e.append(a)}this.#a.append(e)}get#b(){const e=this.#g,t=this.#s;return e?.str&&(!t?.str||t.str===e.str)&&this.#g.html||null}get#w(){return this.#b?.attributes?.style?.fontSize||0}get#T(){return this.#b?.attributes?.style?.color||null}#C(e){const t=[],n={str:e,html:{name:"div",attributes:{dir:"auto"},children:[{name:"p",children:t}]}},a={style:{color:this.#T,fontSize:this.#w?`calc(${this.#w}px * var(--total-scale-factor))`:""}};for(const i of e.split(`
-`))t.push({name:"span",value:i,attributes:a});return n}_formatContents({str:e,dir:t}){const n=document.createElement("p");n.classList.add("popupContent"),n.dir=t;const a=e.split(/(?:\r\n?|\n)/);for(let i=0,s=a.length;i<s;++i){const o=a[i];n.append(document.createTextNode(o)),i<s-1&&n.append(document.createElement("br"))}return n}#N(e){e.altKey||e.shiftKey||e.ctrlKey||e.metaKey||(e.key==="Enter"||e.key==="Escape"&&this.#u)&&this.#R()}updateEdited({rect:e,popup:t,deleted:n}){if(n||t?.deleted){this.remove();return}this.#S(),this.#_||={contentsObj:this.#s,richText:this.#g},e&&(this.#f=null),t&&(this.#g=this.#C(t.text),this.#o=rA.toDateObject(t.date),this.#s=null),this.#p?.remove(),this.#p=null}resetEdited(){this.#_&&({contentsObj:this.#s,richText:this.#g}=this.#_,this.#_=null,this.#p?.remove(),this.#p=null,this.#f=null)}remove(){this.#m?.abort(),this.#m=null,this.#p?.remove(),this.#p=null,this.#y=!1,this.#u=!1;for(const e of this.trigger)e.classList.remove("popupTriggerArea")}#O(){if(this.#f!==null)return;const{page:{view:e},viewport:{rawDims:{pageWidth:t,pageHeight:n,pageX:a,pageY:i}}}=this.#c;let s=!!this.#d,o=s?this.#d:this.#h;for(const m of this.#l)if(!o||Dr.intersect(m.data.rect,o)!==null){o=m.data.rect,s=!0;break}const l=Dr.normalizeRect([o[0],e[3]-o[1]+e[1],o[2],e[3]-o[3]+e[1]]),u=s?o[2]-o[0]+5:0,d=l[0]+u,h=l[1];this.#f=[100*(d-a)/t,100*(h-i)/n];const{style:p}=this.#a;p.left=`${this.#f[0]}%`,p.top=`${this.#f[1]}%`}#R(){this.#u=!this.#u,this.#u?(this.#x(),this.#a.addEventListener("click",this.#n),this.#a.addEventListener("keydown",this.#e)):(this.#k(),this.#a.removeEventListener("click",this.#n),this.#a.removeEventListener("keydown",this.#e))}#x(){this.#p||this.render(),this.isVisible?this.#u&&this.#a.classList.add("focused"):(this.#O(),this.#a.hidden=!1,this.#a.style.zIndex=parseInt(this.#a.style.zIndex)+1e3)}#k(){this.#a.classList.remove("focused"),!(this.#u||!this.isVisible)&&(this.#a.hidden=!0,this.#a.style.zIndex=parseInt(this.#a.style.zIndex)-1e3)}forceHide(){this.#y=this.isVisible,this.#y&&(this.#a.hidden=!0)}maybeShow(){this.#S(),this.#y&&(this.#p||this.#x(),this.#y=!1,this.#a.hidden=!1)}get isVisible(){return this.#a.hidden===!1}}class Mz extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0}),this.textContent=e.data.textContent,this.textPosition=e.data.textPosition,this.annotationEditorType=Zr.FREETEXT}render(){if(this.container.classList.add("freeTextAnnotation"),this.textContent){const e=document.createElement("div");e.classList.add("annotationTextContent"),e.setAttribute("role","comment");for(const t of this.textContent){const n=document.createElement("span");n.textContent=t,e.append(n)}this.container.append(e)}return!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this._editOnDoubleClick(),this.container}}class Nye extends za{#e=null;constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("lineAnnotation");const{data:e,width:t,height:n}=this,a=this.svgFactory.create(t,n,!0),i=this.#e=this.svgFactory.createElement("svg:line");return i.setAttribute("x1",e.rect[2]-e.lineCoordinates[0]),i.setAttribute("y1",e.rect[3]-e.lineCoordinates[1]),i.setAttribute("x2",e.rect[2]-e.lineCoordinates[2]),i.setAttribute("y2",e.rect[3]-e.lineCoordinates[3]),i.setAttribute("stroke-width",e.borderStyle.width||1),i.setAttribute("stroke","transparent"),i.setAttribute("fill","transparent"),a.append(i),this.container.append(a),!e.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#e}addHighlightArea(){this.container.classList.add("highlightArea")}}class Iye extends za{#e=null;constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("squareAnnotation");const{data:e,width:t,height:n}=this,a=this.svgFactory.create(t,n,!0),i=e.borderStyle.width,s=this.#e=this.svgFactory.createElement("svg:rect");return s.setAttribute("x",i/2),s.setAttribute("y",i/2),s.setAttribute("width",t-i),s.setAttribute("height",n-i),s.setAttribute("stroke-width",i||1),s.setAttribute("stroke","transparent"),s.setAttribute("fill","transparent"),a.append(s),this.container.append(a),!e.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#e}addHighlightArea(){this.container.classList.add("highlightArea")}}class kye extends za{#e=null;constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("circleAnnotation");const{data:e,width:t,height:n}=this,a=this.svgFactory.create(t,n,!0),i=e.borderStyle.width,s=this.#e=this.svgFactory.createElement("svg:ellipse");return s.setAttribute("cx",t/2),s.setAttribute("cy",n/2),s.setAttribute("rx",t/2-i/2),s.setAttribute("ry",n/2-i/2),s.setAttribute("stroke-width",i||1),s.setAttribute("stroke","transparent"),s.setAttribute("fill","transparent"),a.append(s),this.container.append(a),!e.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#e}addHighlightArea(){this.container.classList.add("highlightArea")}}class Dz extends za{#e=null;constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="polylineAnnotation",this.svgElementName="svg:polyline"}render(){this.container.classList.add(this.containerClassName);const{data:{rect:e,vertices:t,borderStyle:n,popupRef:a},width:i,height:s}=this;if(!t)return this.container;const o=this.svgFactory.create(i,s,!0);let l=[];for(let u=0,d=t.length;u<d;u+=2){const h=t[u]-e[0],p=e[3]-t[u+1];l.push(`${h},${p}`)}l=l.join(" ");const c=this.#e=this.svgFactory.createElement(this.svgElementName);return c.setAttribute("points",l),c.setAttribute("stroke-width",n.width||1),c.setAttribute("stroke","transparent"),c.setAttribute("fill","transparent"),o.append(c),this.container.append(o),!a&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#e}addHighlightArea(){this.container.classList.add("highlightArea")}}class Mye extends Dz{constructor(e){super(e),this.containerClassName="polygonAnnotation",this.svgElementName="svg:polygon"}}class Dye extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0})}render(){return this.container.classList.add("caretAnnotation"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}}class Tx extends za{#e=null;#t=[];constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="inkAnnotation",this.svgElementName="svg:polyline",this.annotationEditorType=this.data.it==="InkHighlight"?Zr.HIGHLIGHT:Zr.INK}#r(e,t){switch(e){case 90:return{transform:`rotate(90) translate(${-t[0]},${t[1]}) scale(1,-1)`,width:t[3]-t[1],height:t[2]-t[0]};case 180:return{transform:`rotate(180) translate(${-t[2]},${t[1]}) scale(1,-1)`,width:t[2]-t[0],height:t[3]-t[1]};case 270:return{transform:`rotate(270) translate(${-t[2]},${t[3]}) scale(1,-1)`,width:t[3]-t[1],height:t[2]-t[0]};default:return{transform:`translate(${-t[0]},${t[3]}) scale(1,-1)`,width:t[2]-t[0],height:t[3]-t[1]}}}render(){this.container.classList.add(this.containerClassName);const{data:{rect:e,rotation:t,inkLists:n,borderStyle:a,popupRef:i}}=this,{transform:s,width:o,height:l}=this.#r(t,e),c=this.svgFactory.create(o,l,!0),u=this.#e=this.svgFactory.createElement("svg:g");c.append(u),u.setAttribute("stroke-width",a.width||1),u.setAttribute("stroke-linecap","round"),u.setAttribute("stroke-linejoin","round"),u.setAttribute("stroke-miterlimit",10),u.setAttribute("stroke","transparent"),u.setAttribute("fill","transparent"),u.setAttribute("transform",s);for(let d=0,h=n.length;d<h;d++){const p=this.svgFactory.createElement(this.svgElementName);this.#t.push(p),p.setAttribute("points",n[d].join(",")),u.append(p)}return!i&&this.hasPopupData&&this._createPopup(),this.container.append(c),this._editOnDoubleClick(),this.container}updateEdited(e){super.updateEdited(e);const{thickness:t,points:n,rect:a}=e,i=this.#e;if(t>=0&&i.setAttribute("stroke-width",t||1),n)for(let s=0,o=this.#t.length;s<o;s++)this.#t[s].setAttribute("points",n[s].join(","));if(a){const{transform:s,width:o,height:l}=this.#r(this.data.rotation,a);i.parentElement.setAttribute("viewBox",`0 0 ${o} ${l}`),i.setAttribute("transform",s)}}getElementsToTriggerPopup(){return this.#t}addHighlightArea(){this.container.classList.add("highlightArea")}}class Pz extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0}),this.annotationEditorType=Zr.HIGHLIGHT}render(){const{data:{overlaidText:e,popupRef:t}}=this;if(!t&&this.hasPopupData&&this._createPopup(),this.container.classList.add("highlightAnnotation"),this._editOnDoubleClick(),e){const n=document.createElement("mark");n.classList.add("overlaidText"),n.textContent=e,this.container.append(n)}return this.container}}class Pye extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText:e,popupRef:t}}=this;if(!t&&this.hasPopupData&&this._createPopup(),this.container.classList.add("underlineAnnotation"),e){const n=document.createElement("u");n.classList.add("overlaidText"),n.textContent=e,this.container.append(n)}return this.container}}class Lye extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText:e,popupRef:t}}=this;if(!t&&this.hasPopupData&&this._createPopup(),this.container.classList.add("squigglyAnnotation"),e){const n=document.createElement("u");n.classList.add("overlaidText"),n.textContent=e,this.container.append(n)}return this.container}}class Fye extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText:e,popupRef:t}}=this;if(!t&&this.hasPopupData&&this._createPopup(),this.container.classList.add("strikeoutAnnotation"),e){const n=document.createElement("s");n.classList.add("overlaidText"),n.textContent=e,this.container.append(n)}return this.container}}class Lz extends za{constructor(e){super(e,{isRenderable:!0,ignoreBorder:!0}),this.annotationEditorType=Zr.STAMP}render(){return this.container.classList.add("stampAnnotation"),this.container.setAttribute("role","img"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this._editOnDoubleClick(),this.container}}class Bye extends za{#e=null;constructor(e){super(e,{isRenderable:!0});const{file:t}=this.data;this.filename=t.filename,this.content=t.content,this.linkService.eventBus?.dispatch("fileattachmentannotation",{source:this,...t})}render(){this.container.classList.add("fileAttachmentAnnotation");const{container:e,data:t}=this;let n;t.hasAppearance||t.fillAlpha===0?n=document.createElement("div"):(n=document.createElement("img"),n.src=`${this.imageResourcesPath}annotation-${/paperclip/i.test(t.name)?"paperclip":"pushpin"}.svg`,t.fillAlpha&&t.fillAlpha<1&&(n.style=`filter: opacity(${Math.round(t.fillAlpha*100)}%);`)),n.addEventListener("dblclick",this.#t.bind(this)),this.#e=n;const{isMac:a}=Mi.platform;return e.addEventListener("keydown",i=>{i.key==="Enter"&&(a?i.metaKey:i.ctrlKey)&&this.#t()}),!t.popupRef&&this.hasPopupData?this._createPopup():n.classList.add("popupTriggerArea"),e.append(n),e}getElementsToTriggerPopup(){return this.#e}addHighlightArea(){this.container.classList.add("highlightArea")}#t(){this.downloadManager?.openOrDownloadData(this.content,this.filename)}}class Cx{#e=null;#t=null;#r=new Map;#n=null;constructor({div:e,accessibilityManager:t,annotationCanvasMap:n,annotationEditorUIManager:a,page:i,viewport:s,structTreeLayer:o}){this.div=e,this.#e=t,this.#t=n,this.#n=o||null,this.page=i,this.viewport=s,this.zIndex=0,this._annotationEditorUIManager=a}hasEditableAnnotations(){return this.#r.size>0}async#i(e,t,n){const a=e.firstChild||e,i=a.id=`${hx}${t}`,s=await this.#n?.getAriaAttributes(i);if(s)for(const[o,l]of s)a.setAttribute(o,l);n?n.at(-1).container.after(e):(this.div.append(e),this.#e?.moveElementInDOM(this.div,e,a,!1))}async render(e){const{annotations:t}=e,n=this.div;Zd(n,this.viewport);const a=new Map,i={data:null,layer:n,linkService:e.linkService,downloadManager:e.downloadManager,imageResourcesPath:e.imageResourcesPath||"",renderForms:e.renderForms!==!1,svgFactory:new Db,annotationStorage:e.annotationStorage||new _x,enableScripting:e.enableScripting===!0,hasJSActions:e.hasJSActions,fieldObjects:e.fieldObjects,parent:this,elements:null};for(const s of t){if(s.noHTML)continue;const o=s.annotationType===Ha.POPUP;if(o){const u=a.get(s.id);if(!u)continue;i.elements=u}else if(s.rect[2]===s.rect[0]||s.rect[3]===s.rect[1])continue;i.data=s;const l=BD.create(i);if(!l.isRenderable)continue;if(!o&&s.popupRef){const u=a.get(s.popupRef);u?u.push(l):a.set(s.popupRef,[l])}const c=l.render();s.hidden&&(c.style.visibility="hidden"),await this.#i(c,s.id,i.elements),l._isEditable&&(this.#r.set(l.data.id,l),this._annotationEditorUIManager?.renderAnnotationElement(l))}this.#a()}async addLinkAnnotations(e,t){const n={data:null,layer:this.div,linkService:t,svgFactory:new Db,parent:this};for(const a of e){a.borderStyle||=Cx._defaultBorderStyle,n.data=a;const i=BD.create(n);if(!i.isRenderable)continue;const s=i.render();await this.#i(s,a.id,null)}}update({viewport:e}){const t=this.div;this.viewport=e,Zd(t,{rotation:e.rotation}),this.#a(),t.hidden=!1}#a(){if(!this.#t)return;const e=this.div;for(const[t,n]of this.#t){const a=e.querySelector(`[data-annotation-id="${t}"]`);if(!a)continue;n.className="annotationContent";const{firstChild:i}=a;i?i.nodeName==="CANVAS"?i.replaceWith(n):i.classList.contains("annotationContent")?i.after(n):i.before(n):a.append(n);const s=this.#r.get(t);s&&(s._hasNoCanvas?(this._annotationEditorUIManager?.setMissingCanvas(t,a.id,n),s._hasNoCanvas=!1):s.canvas=n)}this.#t.clear()}getEditableAnnotations(){return Array.from(this.#r.values())}getEditableAnnotation(e){return this.#r.get(e)}static get _defaultBorderStyle(){return bn(this,"_defaultBorderStyle",Object.freeze({width:1,rawWidth:1,style:Gh.SOLID,dashArray:[3],horizontalCornerRadius:0,verticalCornerRadius:0}))}}const Y1=/\r\n?|\n/g;class ri extends Fr{#e;#t="";#r=`${this.id}-editor`;#n=null;#i;_colorPicker=null;static _freeTextDefaultContent="";static _internalPadding=0;static _defaultColor=null;static _defaultFontSize=10;static get _keyboardManager(){const e=ri.prototype,t=i=>i.isEmpty(),n=Bu.TRANSLATE_SMALL,a=Bu.TRANSLATE_BIG;return bn(this,"_keyboardManager",new Tg([[["ctrl+s","mac+meta+s","ctrl+p","mac+meta+p"],e.commitOrRemove,{bubbles:!0}],[["ctrl+Enter","mac+meta+Enter","Escape","mac+Escape"],e.commitOrRemove],[["ArrowLeft","mac+ArrowLeft"],e._translateEmpty,{args:[-n,0],checker:t}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],e._translateEmpty,{args:[-a,0],checker:t}],[["ArrowRight","mac+ArrowRight"],e._translateEmpty,{args:[n,0],checker:t}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],e._translateEmpty,{args:[a,0],checker:t}],[["ArrowUp","mac+ArrowUp"],e._translateEmpty,{args:[0,-n],checker:t}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],e._translateEmpty,{args:[0,-a],checker:t}],[["ArrowDown","mac+ArrowDown"],e._translateEmpty,{args:[0,n],checker:t}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],e._translateEmpty,{args:[0,a],checker:t}]]))}static _type="freetext";static _editorType=Zr.FREETEXT;constructor(e){super({...e,name:"freeTextEditor"}),this.#e=e.color||ri._defaultColor||Fr._defaultLineColor,this.#i=e.fontSize||ri._defaultFontSize,this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-freetext-added-alert")}static initialize(e,t){Fr.initialize(e,t);const n=getComputedStyle(document.documentElement);this._internalPadding=parseFloat(n.getPropertyValue("--freetext-padding"))}static updateDefaultParams(e,t){switch(e){case Mn.FREETEXT_SIZE:ri._defaultFontSize=t;break;case Mn.FREETEXT_COLOR:ri._defaultColor=t;break}}updateParams(e,t){switch(e){case Mn.FREETEXT_SIZE:this.#a(t);break;case Mn.FREETEXT_COLOR:this.#s(t);break}}static get defaultPropertiesToUpdate(){return[[Mn.FREETEXT_SIZE,ri._defaultFontSize],[Mn.FREETEXT_COLOR,ri._defaultColor||Fr._defaultLineColor]]}get propertiesToUpdate(){return[[Mn.FREETEXT_SIZE,this.#i],[Mn.FREETEXT_COLOR,this.#e]]}get toolbarButtons(){return this._colorPicker||=new Lm(this),[["colorPicker",this._colorPicker]]}get colorType(){return Mn.FREETEXT_COLOR}get colorValue(){return this.#e}#a(e){const t=a=>{this.editorDiv.style.fontSize=`calc(${a}px * var(--total-scale-factor))`,this.translate(0,-(a-this.#i)*this.parentScale),this.#i=a,this.#l()},n=this.#i;this.addCommands({cmd:t.bind(this,e),undo:t.bind(this,n),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:Mn.FREETEXT_SIZE,overwriteIfSameType:!0,keepUndo:!0})}#s(e){const t=a=>{this.#e=this.editorDiv.style.color=a,this._colorPicker?.update(a)},n=this.#e;this.addCommands({cmd:t.bind(this,e),undo:t.bind(this,n),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:Mn.FREETEXT_COLOR,overwriteIfSameType:!0,keepUndo:!0})}_translateEmpty(e,t){this._uiManager.translateSelectedEditors(e,t,!0)}getInitialTranslation(){const e=this.parentScale;return[-ri._internalPadding*e,-(ri._internalPadding+this.#i)*e]}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.isAttachedToDOM||this.parent.add(this)))}enableEditMode(){if(!super.enableEditMode())return!1;this.overlayDiv.classList.remove("enabled"),this.editorDiv.contentEditable=!0,this._isDraggable=!1,this.div.removeAttribute("aria-activedescendant"),this.#n=new AbortController;const e=this._uiManager.combinedSignal(this.#n);return this.editorDiv.addEventListener("keydown",this.editorDivKeydown.bind(this),{signal:e}),this.editorDiv.addEventListener("focus",this.editorDivFocus.bind(this),{signal:e}),this.editorDiv.addEventListener("blur",this.editorDivBlur.bind(this),{signal:e}),this.editorDiv.addEventListener("input",this.editorDivInput.bind(this),{signal:e}),this.editorDiv.addEventListener("paste",this.editorDivPaste.bind(this),{signal:e}),!0}disableEditMode(){return super.disableEditMode()?(this.overlayDiv.classList.add("enabled"),this.editorDiv.contentEditable=!1,this.div.setAttribute("aria-activedescendant",this.#r),this._isDraggable=!0,this.#n?.abort(),this.#n=null,this.div.focus({preventScroll:!0}),this.isEditing=!1,this.parent.div.classList.add("freetextEditing"),!0):!1}focusin(e){this._focusEventsAllowed&&(super.focusin(e),e.target!==this.editorDiv&&this.editorDiv.focus())}onceAdded(e){this.width||(this.enableEditMode(),e&&this.editorDiv.focus(),this._initialOptions?.isCentered&&this.center(),this._initialOptions=null)}isEmpty(){return!this.editorDiv||this.editorDiv.innerText.trim()===""}remove(){this.isEditing=!1,this.parent&&(this.parent.setEditingState(!0),this.parent.div.classList.add("freetextEditing")),super.remove()}#o(){const e=[];this.editorDiv.normalize();let t=null;for(const n of this.editorDiv.childNodes)t?.nodeType===Node.TEXT_NODE&&n.nodeName==="BR"||(e.push(ri.#c(n)),t=n);return e.join(`
-`)}#l(){const[e,t]=this.parentDimensions;let n;if(this.isAttachedToDOM)n=this.div.getBoundingClientRect();else{const{currentLayer:a,div:i}=this,s=i.style.display,o=i.classList.contains("hidden");i.classList.remove("hidden"),i.style.display="hidden",a.div.append(this.div),n=i.getBoundingClientRect(),i.remove(),i.style.display=s,i.classList.toggle("hidden",o)}this.rotation%180===this.parentRotation%180?(this.width=n.width/e,this.height=n.height/t):(this.width=n.height/e,this.height=n.width/t),this.fixAndSetPosition()}commit(){if(!this.isInEditMode())return;super.commit(),this.disableEditMode();const e=this.#t,t=this.#t=this.#o().trimEnd();if(e===t)return;const n=a=>{if(this.#t=a,!a){this.remove();return}this.#d(),this._uiManager.rebuild(this),this.#l()};this.addCommands({cmd:()=>{n(t)},undo:()=>{n(e)},mustExec:!1}),this.#l()}shouldGetKeyboardEvents(){return this.isInEditMode()}enterInEditMode(){this.enableEditMode(),this.editorDiv.focus()}keydown(e){e.target===this.div&&e.key==="Enter"&&(this.enterInEditMode(),e.preventDefault())}editorDivKeydown(e){ri._keyboardManager.exec(this,e)}editorDivFocus(e){this.isEditing=!0}editorDivBlur(e){this.isEditing=!1}editorDivInput(e){this.parent.div.classList.toggle("freetextEditing",this.isEmpty())}disableEditing(){this.editorDiv.setAttribute("role","comment"),this.editorDiv.removeAttribute("aria-multiline")}enableEditing(){this.editorDiv.setAttribute("role","textbox"),this.editorDiv.setAttribute("aria-multiline",!0)}get canChangeContent(){return!0}render(){if(this.div)return this.div;let e,t;(this._isCopy||this.annotationElementId)&&(e=this.x,t=this.y),super.render(),this.editorDiv=document.createElement("div"),this.editorDiv.className="internal",this.editorDiv.setAttribute("id",this.#r),this.editorDiv.setAttribute("data-l10n-id","pdfjs-free-text2"),this.editorDiv.setAttribute("data-l10n-attrs","default-content"),this.enableEditing(),this.editorDiv.contentEditable=!0;const{style:n}=this.editorDiv;if(n.fontSize=`calc(${this.#i}px * var(--total-scale-factor))`,n.color=this.#e,this.div.append(this.editorDiv),this.overlayDiv=document.createElement("div"),this.overlayDiv.classList.add("overlay","enabled"),this.div.append(this.overlayDiv),this._isCopy||this.annotationElementId){const[a,i]=this.parentDimensions;if(this.annotationElementId){const{position:s}=this._initialData;let[o,l]=this.getInitialTranslation();[o,l]=this.pageTranslationToScreen(o,l);const[c,u]=this.pageDimensions,[d,h]=this.pageTranslation;let p,m;switch(this.rotation){case 0:p=e+(s[0]-d)/c,m=t+this.height-(s[1]-h)/u;break;case 90:p=e+(s[0]-d)/c,m=t-(s[1]-h)/u,[o,l]=[l,-o];break;case 180:p=e-this.width+(s[0]-d)/c,m=t-(s[1]-h)/u,[o,l]=[-o,-l];break;case 270:p=e+(s[0]-d-this.height*u)/c,m=t+(s[1]-h-this.width*c)/u,[o,l]=[-l,o];break}this.setAt(p*a,m*i,o,l)}else this._moveAfterPaste(e,t);this.#d(),this._isDraggable=!0,this.editorDiv.contentEditable=!1}else this._isDraggable=!1,this.editorDiv.contentEditable=!0;return this.div}static#c(e){return(e.nodeType===Node.TEXT_NODE?e.nodeValue:e.innerText).replaceAll(Y1,"")}editorDivPaste(e){const t=e.clipboardData||window.clipboardData,{types:n}=t;if(n.length===1&&n[0]==="text/plain")return;e.preventDefault();const a=ri.#p(t.getData("text")||"").replaceAll(Y1,`
-`);if(!a)return;const i=window.getSelection();if(!i.rangeCount)return;this.editorDiv.normalize(),i.deleteFromDocument();const s=i.getRangeAt(0);if(!a.includes(`
-`)){s.insertNode(document.createTextNode(a)),this.editorDiv.normalize(),i.collapseToStart();return}const{startContainer:o,startOffset:l}=s,c=[],u=[];if(o.nodeType===Node.TEXT_NODE){const p=o.parentElement;if(u.push(o.nodeValue.slice(l).replaceAll(Y1,"")),p!==this.editorDiv){let m=c;for(const g of this.editorDiv.childNodes){if(g===p){m=u;continue}m.push(ri.#c(g))}}c.push(o.nodeValue.slice(0,l).replaceAll(Y1,""))}else if(o===this.editorDiv){let p=c,m=0;for(const g of this.editorDiv.childNodes)m++===l&&(p=u),p.push(ri.#c(g))}this.#t=`${c.join(`
-`)}${a}${u.join(`
-`)}`,this.#d();const d=new Range;let h=Math.sumPrecise(c.map(p=>p.length));for(const{firstChild:p}of this.editorDiv.childNodes)if(p.nodeType===Node.TEXT_NODE){const m=p.nodeValue.length;if(h<=m){d.setStart(p,h),d.setEnd(p,h);break}h-=m}i.removeAllRanges(),i.addRange(d)}#d(){if(this.editorDiv.replaceChildren(),!!this.#t)for(const e of this.#t.split(`
-`)){const t=document.createElement("div");t.append(e?document.createTextNode(e):document.createElement("br")),this.editorDiv.append(t)}}#u(){return this.#t.replaceAll(" "," ")}static#p(e){return e.replaceAll(" "," ")}get contentDiv(){return this.editorDiv}static async deserialize(e,t,n){let a=null;if(e instanceof Mz){const{data:{defaultAppearanceData:{fontSize:s,fontColor:o},rect:l,rotation:c,id:u,popupRef:d,contentsObj:h},textContent:p,textPosition:m,parent:{page:{pageNumber:g}}}=e;if(!p||p.length===0)return null;a=e={annotationType:Zr.FREETEXT,color:Array.from(o),fontSize:s,value:p.join(`
-`),position:m,pageIndex:g-1,rect:l.slice(0),rotation:c,annotationElementId:u,id:u,deleted:!1,popupRef:d,comment:h?.str||null}}const i=await super.deserialize(e,t,n);return i.#i=e.fontSize,i.#e=Dr.makeHexColor(...e.color),i.#t=ri.#p(e.value),i._initialData=a,e.comment&&i.setCommentData(e.comment),i}serialize(e=!1){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const t=ri._internalPadding*this.parentScale,n=this.getRect(t,t),a=Fr._colorManager.convert(this.isAttachedToDOM?getComputedStyle(this.editorDiv).color:this.#e),i={annotationType:Zr.FREETEXT,color:a,fontSize:this.#i,value:this.#u(),pageIndex:this.pageIndex,rect:n,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.addComment(i),e?(i.isCopy=!0,i):this.annotationElementId&&!this.#m(i)?null:(i.id=this.annotationElementId,i)}#m(e){const{value:t,fontSize:n,color:a,pageIndex:i}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||e.value!==t||e.fontSize!==n||e.color.some((s,o)=>s!==a[o])||e.pageIndex!==i}renderAnnotationElement(e){const t=super.renderAnnotationElement(e),{style:n}=t;n.fontSize=`calc(${this.#i}px * var(--total-scale-factor))`,n.color=this.#e,t.replaceChildren();for(const s of this.#t.split(`
-`)){const o=document.createElement("div");o.append(s?document.createTextNode(s):document.createElement("br")),t.append(o)}const a=ri._internalPadding*this.parentScale,i={rect:this.getRect(a,a)};return i.popup=this.hasEditedComment?this.comment:{text:this.#t},e.updateEdited(i),t}resetAnnotationElement(e){super.resetAnnotationElement(e),e.resetEdited()}}class br{static PRECISION=1e-4;toSVGPath(){Zn("Abstract method `toSVGPath` must be implemented.")}get box(){Zn("Abstract getter `box` must be implemented.")}serialize(e,t){Zn("Abstract method `serialize` must be implemented.")}static _rescale(e,t,n,a,i,s){s||=new Float32Array(e.length);for(let o=0,l=e.length;o<l;o+=2)s[o]=t+e[o]*a,s[o+1]=n+e[o+1]*i;return s}static _rescaleAndSwap(e,t,n,a,i,s){s||=new Float32Array(e.length);for(let o=0,l=e.length;o<l;o+=2)s[o]=t+e[o+1]*a,s[o+1]=n+e[o]*i;return s}static _translate(e,t,n,a){a||=new Float32Array(e.length);for(let i=0,s=e.length;i<s;i+=2)a[i]=t+e[i],a[i+1]=n+e[i+1];return a}static svgRound(e){return Math.round(e*1e4)}static _normalizePoint(e,t,n,a,i){switch(i){case 90:return[1-t/n,e/a];case 180:return[1-e/n,1-t/a];case 270:return[t/n,1-e/a];default:return[e/n,t/a]}}static _normalizePagePoint(e,t,n){switch(n){case 90:return[1-t,e];case 180:return[1-e,1-t];case 270:return[t,1-e];default:return[e,t]}}static createBezierPoints(e,t,n,a,i,s){return[(e+5*n)/6,(t+5*a)/6,(5*n+i)/6,(5*a+s)/6,(n+i)/2,(a+s)/2]}}class Gd{#e;#t=[];#r;#n;#i=[];#a=new Float32Array(18);#s;#o;#l;#c;#d;#u;#p=[];static#m=8;static#f=2;static#h=Gd.#m+Gd.#f;constructor({x:e,y:t},n,a,i,s,o=0){this.#e=n,this.#u=i*a,this.#n=s,this.#a.set([NaN,NaN,NaN,NaN,e,t],6),this.#r=o,this.#c=Gd.#m*a,this.#l=Gd.#h*a,this.#d=a,this.#p.push(e,t)}isEmpty(){return isNaN(this.#a[8])}#g(){const e=this.#a.subarray(4,6),t=this.#a.subarray(16,18),[n,a,i,s]=this.#e;return[(this.#s+(e[0]-t[0])/2-n)/i,(this.#o+(e[1]-t[1])/2-a)/s,(this.#s+(t[0]-e[0])/2-n)/i,(this.#o+(t[1]-e[1])/2-a)/s]}add({x:e,y:t}){this.#s=e,this.#o=t;const[n,a,i,s]=this.#e;let[o,l,c,u]=this.#a.subarray(8,12);const d=e-c,h=t-u,p=Math.hypot(d,h);if(p<this.#l)return!1;const m=p-this.#c,g=m/p,b=g*d,_=g*h;let v=o,y=l;o=c,l=u,c+=b,u+=_,this.#p?.push(e,t);const E=-_/m,S=b/m,w=E*this.#u,C=S*this.#u;return this.#a.set(this.#a.subarray(2,8),0),this.#a.set([c+w,u+C],4),this.#a.set(this.#a.subarray(14,18),12),this.#a.set([c-w,u-C],16),isNaN(this.#a[6])?(this.#i.length===0&&(this.#a.set([o+w,l+C],2),this.#i.push(NaN,NaN,NaN,NaN,(o+w-n)/i,(l+C-a)/s),this.#a.set([o-w,l-C],14),this.#t.push(NaN,NaN,NaN,NaN,(o-w-n)/i,(l-C-a)/s)),this.#a.set([v,y,o,l,c,u],6),!this.isEmpty()):(this.#a.set([v,y,o,l,c,u],6),Math.abs(Math.atan2(y-l,v-o)-Math.atan2(_,b))<Math.PI/2?([o,l,c,u]=this.#a.subarray(2,6),this.#i.push(NaN,NaN,NaN,NaN,((o+c)/2-n)/i,((l+u)/2-a)/s),[o,l,v,y]=this.#a.subarray(14,18),this.#t.push(NaN,NaN,NaN,NaN,((v+o)/2-n)/i,((y+l)/2-a)/s),!0):([v,y,o,l,c,u]=this.#a.subarray(0,6),this.#i.push(((v+5*o)/6-n)/i,((y+5*l)/6-a)/s,((5*o+c)/6-n)/i,((5*l+u)/6-a)/s,((o+c)/2-n)/i,((l+u)/2-a)/s),[c,u,o,l,v,y]=this.#a.subarray(12,18),this.#t.push(((v+5*o)/6-n)/i,((y+5*l)/6-a)/s,((5*o+c)/6-n)/i,((5*l+u)/6-a)/s,((o+c)/2-n)/i,((l+u)/2-a)/s),!0))}toSVGPath(){if(this.isEmpty())return"";const e=this.#i,t=this.#t;if(isNaN(this.#a[6])&&!this.isEmpty())return this.#v();const n=[];n.push(`M${e[4]} ${e[5]}`);for(let a=6;a<e.length;a+=6)isNaN(e[a])?n.push(`L${e[a+4]} ${e[a+5]}`):n.push(`C${e[a]} ${e[a+1]} ${e[a+2]} ${e[a+3]} ${e[a+4]} ${e[a+5]}`);this.#y(n);for(let a=t.length-6;a>=6;a-=6)isNaN(t[a])?n.push(`L${t[a+4]} ${t[a+5]}`):n.push(`C${t[a]} ${t[a+1]} ${t[a+2]} ${t[a+3]} ${t[a+4]} ${t[a+5]}`);return this.#_(n),n.join(" ")}#v(){const[e,t,n,a]=this.#e,[i,s,o,l]=this.#g();return`M${(this.#a[2]-e)/n} ${(this.#a[3]-t)/a} L${(this.#a[4]-e)/n} ${(this.#a[5]-t)/a} L${i} ${s} L${o} ${l} L${(this.#a[16]-e)/n} ${(this.#a[17]-t)/a} L${(this.#a[14]-e)/n} ${(this.#a[15]-t)/a} Z`}#_(e){const t=this.#t;e.push(`L${t[4]} ${t[5]} Z`)}#y(e){const[t,n,a,i]=this.#e,s=this.#a.subarray(4,6),o=this.#a.subarray(16,18),[l,c,u,d]=this.#g();e.push(`L${(s[0]-t)/a} ${(s[1]-n)/i} L${l} ${c} L${u} ${d} L${(o[0]-t)/a} ${(o[1]-n)/i}`)}newFreeDrawOutline(e,t,n,a,i,s){return new Fz(e,t,n,a,i,s)}getOutlines(){const e=this.#i,t=this.#t,n=this.#a,[a,i,s,o]=this.#e,l=new Float32Array((this.#p?.length??0)+2);for(let d=0,h=l.length-2;d<h;d+=2)l[d]=(this.#p[d]-a)/s,l[d+1]=(this.#p[d+1]-i)/o;if(l[l.length-2]=(this.#s-a)/s,l[l.length-1]=(this.#o-i)/o,isNaN(n[6])&&!this.isEmpty())return this.#S(l);const c=new Float32Array(this.#i.length+24+this.#t.length);let u=e.length;for(let d=0;d<u;d+=2){if(isNaN(e[d])){c[d]=c[d+1]=NaN;continue}c[d]=e[d],c[d+1]=e[d+1]}u=this.#w(c,u);for(let d=t.length-6;d>=6;d-=6)for(let h=0;h<6;h+=2){if(isNaN(t[d+h])){c[u]=c[u+1]=NaN,u+=2;continue}c[u]=t[d+h],c[u+1]=t[d+h+1],u+=2}return this.#b(c,u),this.newFreeDrawOutline(c,l,this.#e,this.#d,this.#r,this.#n)}#S(e){const t=this.#a,[n,a,i,s]=this.#e,[o,l,c,u]=this.#g(),d=new Float32Array(36);return d.set([NaN,NaN,NaN,NaN,(t[2]-n)/i,(t[3]-a)/s,NaN,NaN,NaN,NaN,(t[4]-n)/i,(t[5]-a)/s,NaN,NaN,NaN,NaN,o,l,NaN,NaN,NaN,NaN,c,u,NaN,NaN,NaN,NaN,(t[16]-n)/i,(t[17]-a)/s,NaN,NaN,NaN,NaN,(t[14]-n)/i,(t[15]-a)/s],0),this.newFreeDrawOutline(d,e,this.#e,this.#d,this.#r,this.#n)}#b(e,t){const n=this.#t;return e.set([NaN,NaN,NaN,NaN,n[4],n[5]],t),t+=6}#w(e,t){const n=this.#a.subarray(4,6),a=this.#a.subarray(16,18),[i,s,o,l]=this.#e,[c,u,d,h]=this.#g();return e.set([NaN,NaN,NaN,NaN,(n[0]-i)/o,(n[1]-s)/l,NaN,NaN,NaN,NaN,c,u,NaN,NaN,NaN,NaN,d,h,NaN,NaN,NaN,NaN,(a[0]-i)/o,(a[1]-s)/l],t),t+=24}}class Fz extends br{#e;#t=new Float32Array(4);#r;#n;#i;#a;#s;constructor(e,t,n,a,i,s){super(),this.#s=e,this.#i=t,this.#e=n,this.#a=a,this.#r=i,this.#n=s,this.lastPoint=[NaN,NaN],this.#o(s);const[o,l,c,u]=this.#t;for(let d=0,h=e.length;d<h;d+=2)e[d]=(e[d]-o)/c,e[d+1]=(e[d+1]-l)/u;for(let d=0,h=t.length;d<h;d+=2)t[d]=(t[d]-o)/c,t[d+1]=(t[d+1]-l)/u}toSVGPath(){const e=[`M${this.#s[4]} ${this.#s[5]}`];for(let t=6,n=this.#s.length;t<n;t+=6){if(isNaN(this.#s[t])){e.push(`L${this.#s[t+4]} ${this.#s[t+5]}`);continue}e.push(`C${this.#s[t]} ${this.#s[t+1]} ${this.#s[t+2]} ${this.#s[t+3]} ${this.#s[t+4]} ${this.#s[t+5]}`)}return e.push("Z"),e.join(" ")}serialize([e,t,n,a],i){const s=n-e,o=a-t;let l,c;switch(i){case 0:l=br._rescale(this.#s,e,a,s,-o),c=br._rescale(this.#i,e,a,s,-o);break;case 90:l=br._rescaleAndSwap(this.#s,e,t,s,o),c=br._rescaleAndSwap(this.#i,e,t,s,o);break;case 180:l=br._rescale(this.#s,n,t,-s,o),c=br._rescale(this.#i,n,t,-s,o);break;case 270:l=br._rescaleAndSwap(this.#s,n,a,-s,-o),c=br._rescaleAndSwap(this.#i,n,a,-s,-o);break}return{outline:Array.from(l),points:[Array.from(c)]}}#o(e){const t=this.#s;let n=t[4],a=t[5];const i=[n,a,n,a];let s=n,o=a;const l=e?Math.max:Math.min;for(let u=6,d=t.length;u<d;u+=6){const h=t[u+4],p=t[u+5];if(isNaN(t[u]))Dr.pointBoundingBox(h,p,i),o<p?(s=h,o=p):o===p&&(s=l(s,h));else{const m=[1/0,1/0,-1/0,-1/0];Dr.bezierBoundingBox(n,a,...t.slice(u,u+6),m),Dr.rectBoundingBox(...m,i),o<m[3]?(s=m[2],o=m[3]):o===m[3]&&(s=l(s,m[2]))}n=h,a=p}const c=this.#t;c[0]=i[0]-this.#r,c[1]=i[1]-this.#r,c[2]=i[2]-i[0]+2*this.#r,c[3]=i[3]-i[1]+2*this.#r,this.lastPoint=[s,o]}get box(){return this.#t}newOutliner(e,t,n,a,i,s=0){return new Gd(e,t,n,a,i,s)}getNewOutline(e,t){const[n,a,i,s]=this.#t,[o,l,c,u]=this.#e,d=i*c,h=s*u,p=n*c+o,m=a*u+l,g=this.newOutliner({x:this.#i[0]*d+p,y:this.#i[1]*h+m},this.#e,this.#a,e,this.#n,t??this.#r);for(let b=2;b<this.#i.length;b+=2)g.add({x:this.#i[b]*d+p,y:this.#i[b+1]*h+m});return g.getOutlines()}}class lA{#e;#t;#r=[];#n=[];constructor(e,t=0,n=0,a=!0){const i=[1/0,1/0,-1/0,-1/0],s=10**-4;for(const{x:p,y:m,width:g,height:b}of e){const _=Math.floor((p-t)/s)*s,v=Math.ceil((p+g+t)/s)*s,y=Math.floor((m-t)/s)*s,E=Math.ceil((m+b+t)/s)*s,S=[_,y,E,!0],w=[v,y,E,!1];this.#r.push(S,w),Dr.rectBoundingBox(_,y,v,E,i)}const o=i[2]-i[0]+2*n,l=i[3]-i[1]+2*n,c=i[0]-n,u=i[1]-n,d=this.#r.at(a?-1:-2),h=[d[0],d[2]];for(const p of this.#r){const[m,g,b]=p;p[0]=(m-c)/o,p[1]=(g-u)/l,p[2]=(b-u)/l}this.#e=new Float32Array([c,u,o,l]),this.#t=h}getOutlines(){this.#r.sort((t,n)=>t[0]-n[0]||t[1]-n[1]||t[2]-n[2]);const e=[];for(const t of this.#r)t[3]?(e.push(...this.#l(t)),this.#s(t)):(this.#o(t),e.push(...this.#l(t)));return this.#i(e)}#i(e){const t=[],n=new Set;for(const s of e){const[o,l,c]=s;t.push([o,l,s],[o,c,s])}t.sort((s,o)=>s[1]-o[1]||s[0]-o[0]);for(let s=0,o=t.length;s<o;s+=2){const l=t[s][2],c=t[s+1][2];l.push(c),c.push(l),n.add(l),n.add(c)}const a=[];let i;for(;n.size>0;){const s=n.values().next().value;let[o,l,c,u,d]=s;n.delete(s);let h=o,p=l;for(i=[o,c],a.push(i);;){let m;if(n.has(u))m=u;else if(n.has(d))m=d;else break;n.delete(m),[o,l,c,u,d]=m,h!==o&&(i.push(h,p,o,p===l?l:c),h=o),p=p===l?c:l}i.push(h,p)}return new Uye(a,this.#e,this.#t)}#a(e){const t=this.#n;let n=0,a=t.length-1;for(;n<=a;){const i=n+a>>1,s=t[i][0];if(s===e)return i;s<e?n=i+1:a=i-1}return a+1}#s([,e,t]){const n=this.#a(e);this.#n.splice(n,0,[e,t])}#o([,e,t]){const n=this.#a(e);for(let a=n;a<this.#n.length;a++){const[i,s]=this.#n[a];if(i!==e)break;if(i===e&&s===t){this.#n.splice(a,1);return}}for(let a=n-1;a>=0;a--){const[i,s]=this.#n[a];if(i!==e)break;if(i===e&&s===t){this.#n.splice(a,1);return}}}#l(e){const[t,n,a]=e,i=[[t,n,a]],s=this.#a(a);for(let o=0;o<s;o++){const[l,c]=this.#n[o];for(let u=0,d=i.length;u<d;u++){const[,h,p]=i[u];if(!(c<=h||p<=l)){if(h>=l){if(p>c)i[u][1]=c;else{if(d===1)return[];i.splice(u,1),u--,d--}continue}i[u][2]=l,p>c&&i.push([t,c,p])}}}return i}}class Uye extends br{#e;#t;constructor(e,t,n){super(),this.#t=e,this.#e=t,this.lastPoint=n}toSVGPath(){const e=[];for(const t of this.#t){let[n,a]=t;e.push(`M${n} ${a}`);for(let i=2;i<t.length;i+=2){const s=t[i],o=t[i+1];s===n?(e.push(`V${o}`),a=o):o===a&&(e.push(`H${s}`),n=s)}e.push("Z")}return e.join(" ")}serialize([e,t,n,a],i){const s=[],o=n-e,l=a-t;for(const c of this.#t){const u=new Array(c.length);for(let d=0;d<c.length;d+=2)u[d]=e+c[d]*o,u[d+1]=a-c[d+1]*l;s.push(u)}return s}get box(){return this.#e}get classNamesForOutlining(){return["highlightOutline"]}}class cA extends Gd{newFreeDrawOutline(e,t,n,a,i,s){return new $ye(e,t,n,a,i,s)}}class $ye extends Fz{newOutliner(e,t,n,a,i,s=0){return new cA(e,t,n,a,i,s)}}class La extends Fr{#e=null;#t=0;#r;#n=null;#i=null;#a=null;#s=null;#o=0;#l=null;#c=null;#d=null;#u=!1;#p=null;#m;#f=null;#h="";#g;#v="";static _defaultColor=null;static _defaultOpacity=1;static _defaultThickness=12;static _type="highlight";static _editorType=Zr.HIGHLIGHT;static _freeHighlightId=-1;static _freeHighlight=null;static _freeHighlightClipId="";static get _keyboardManager(){const e=La.prototype;return bn(this,"_keyboardManager",new Tg([[["ArrowLeft","mac+ArrowLeft"],e._moveCaret,{args:[0]}],[["ArrowRight","mac+ArrowRight"],e._moveCaret,{args:[1]}],[["ArrowUp","mac+ArrowUp"],e._moveCaret,{args:[2]}],[["ArrowDown","mac+ArrowDown"],e._moveCaret,{args:[3]}]]))}constructor(e){super({...e,name:"highlightEditor"}),this.color=e.color||La._defaultColor,this.#g=e.thickness||La._defaultThickness,this.#m=e.opacity||La._defaultOpacity,this.#r=e.boxes||null,this.#v=e.methodOfCreation||"",this.#h=e.text||"",this._isDraggable=!1,this.defaultL10nId="pdfjs-editor-highlight-editor",e.highlightId>-1?(this.#u=!0,this.#y(e),this.#C()):this.#r&&(this.#e=e.anchorNode,this.#t=e.anchorOffset,this.#s=e.focusNode,this.#o=e.focusOffset,this.#_(),this.#C(),this.rotate(this.rotation)),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-highlight-added-alert")}get telemetryInitialData(){return{action:"added",type:this.#u?"free_highlight":"highlight",color:this._uiManager.getNonHCMColorName(this.color),thickness:this.#g,methodOfCreation:this.#v}}get telemetryFinalData(){return{type:"highlight",color:this._uiManager.getNonHCMColorName(this.color)}}get commentColor(){return this.color}static computeTelemetryFinalData(e){return{numberOfColors:e.get("color").size}}#_(){const e=new lA(this.#r,.001);this.#c=e.getOutlines(),[this.x,this.y,this.width,this.height]=this.#c.box;const t=new lA(this.#r,.0025,.001,this._uiManager.direction==="ltr");this.#a=t.getOutlines();const{lastPoint:n}=this.#a;this.#p=[(n[0]-this.x)/this.width,(n[1]-this.y)/this.height]}#y({highlightOutlines:e,highlightId:t,clipPathId:n}){this.#c=e;const a=1.5;if(this.#a=e.getNewOutline(this.#g/2+a,.0025),t>=0)this.#d=t,this.#n=n,this.parent.drawLayer.finalizeDraw(t,{bbox:e.box,path:{d:e.toSVGPath()}}),this.#f=this.parent.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:!0},bbox:this.#a.box,path:{d:this.#a.toSVGPath()}},!0);else if(this.parent){const u=this.parent.viewport.rotation;this.parent.drawLayer.updateProperties(this.#d,{bbox:La.#N(this.#c.box,(u-this.rotation+360)%360),path:{d:e.toSVGPath()}}),this.parent.drawLayer.updateProperties(this.#f,{bbox:La.#N(this.#a.box,u),path:{d:this.#a.toSVGPath()}})}const[i,s,o,l]=e.box;switch(this.rotation){case 0:this.x=i,this.y=s,this.width=o,this.height=l;break;case 90:{const[u,d]=this.parentDimensions;this.x=s,this.y=1-i,this.width=o*d/u,this.height=l*u/d;break}case 180:this.x=1-i,this.y=1-s,this.width=o,this.height=l;break;case 270:{const[u,d]=this.parentDimensions;this.x=1-s,this.y=i,this.width=o*d/u,this.height=l*u/d;break}}const{lastPoint:c}=this.#a;this.#p=[(c[0]-i)/o,(c[1]-s)/l]}static initialize(e,t){Fr.initialize(e,t),La._defaultColor||=t.highlightColors?.values().next().value||"#fff066"}static updateDefaultParams(e,t){switch(e){case Mn.HIGHLIGHT_COLOR:La._defaultColor=t;break;case Mn.HIGHLIGHT_THICKNESS:La._defaultThickness=t;break}}translateInPage(e,t){}get toolbarPosition(){return this.#p}updateParams(e,t){switch(e){case Mn.HIGHLIGHT_COLOR:this.#S(t);break;case Mn.HIGHLIGHT_THICKNESS:this.#b(t);break}}static get defaultPropertiesToUpdate(){return[[Mn.HIGHLIGHT_COLOR,La._defaultColor],[Mn.HIGHLIGHT_THICKNESS,La._defaultThickness]]}get propertiesToUpdate(){return[[Mn.HIGHLIGHT_COLOR,this.color||La._defaultColor],[Mn.HIGHLIGHT_THICKNESS,this.#g||La._defaultThickness],[Mn.HIGHLIGHT_FREE,this.#u]]}#S(e){const t=(i,s)=>{this.color=i,this.#m=s,this.parent?.drawLayer.updateProperties(this.#d,{root:{fill:i,"fill-opacity":s}}),this.#i?.updateColor(i)},n=this.color,a=this.#m;this.addCommands({cmd:t.bind(this,e,La._defaultOpacity),undo:t.bind(this,n,a),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:Mn.HIGHLIGHT_COLOR,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"color_changed",color:this._uiManager.getNonHCMColorName(e)},!0)}#b(e){const t=this.#g,n=a=>{this.#g=a,this.#w(a)};this.addCommands({cmd:n.bind(this,e),undo:n.bind(this,t),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:Mn.INK_THICKNESS,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"thickness_changed",thickness:e},!0)}get toolbarButtons(){return this._uiManager.highlightColors?[["colorPicker",this.#i=new Eo({editor:this})]]:super.toolbarButtons}disableEditing(){super.disableEditing(),this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}fixAndSetPosition(){return super.fixAndSetPosition(this.#x())}getBaseTranslation(){return[0,0]}getRect(e,t){return super.getRect(e,t,this.#x())}onceAdded(e){this.annotationElementId||this.parent.addUndoableEditor(this),e&&this.div.focus()}remove(){this.#T(),this._reportTelemetry({action:"deleted"}),super.remove()}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.#C(),this.isAttachedToDOM||this.parent.add(this)))}setParent(e){let t=!1;this.parent&&!e?this.#T():e&&(this.#C(e),t=!this.parent&&this.div?.classList.contains("selectedEditor")),super.setParent(e),this.show(this._isVisible),t&&this.select()}#w(e){if(!this.#u)return;this.#y({highlightOutlines:this.#c.getNewOutline(e/2)}),this.fixAndSetPosition();const[t,n]=this.parentDimensions;this.setDims(this.width*t,this.height*n)}#T(){this.#d===null||!this.parent||(this.parent.drawLayer.remove(this.#d),this.#d=null,this.parent.drawLayer.remove(this.#f),this.#f=null)}#C(e=this.parent){this.#d===null&&({id:this.#d,clipPathId:this.#n}=e.drawLayer.draw({bbox:this.#c.box,root:{viewBox:"0 0 1 1",fill:this.color,"fill-opacity":this.#m},rootClass:{highlight:!0,free:this.#u},path:{d:this.#c.toSVGPath()}},!1,!0),this.#f=e.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:this.#u},bbox:this.#a.box,path:{d:this.#a.toSVGPath()}},this.#u),this.#l&&(this.#l.style.clipPath=this.#n))}static#N([e,t,n,a],i){switch(i){case 90:return[1-t-a,e,a,n];case 180:return[1-e-n,1-t-a,n,a];case 270:return[t,1-e-n,a,n]}return[e,t,n,a]}rotate(e){const{drawLayer:t}=this.parent;let n;this.#u?(e=(e-this.rotation+360)%360,n=La.#N(this.#c.box,e)):n=La.#N([this.x,this.y,this.width,this.height],e),t.updateProperties(this.#d,{bbox:n,root:{"data-main-rotation":e}}),t.updateProperties(this.#f,{bbox:La.#N(this.#a.box,e),root:{"data-main-rotation":e}})}render(){if(this.div)return this.div;const e=super.render();this.#h&&(e.setAttribute("aria-label",this.#h),e.setAttribute("role","mark")),this.#u?e.classList.add("free"):this.div.addEventListener("keydown",this.#O.bind(this),{signal:this._uiManager._signal});const t=this.#l=document.createElement("div");e.append(t),t.setAttribute("aria-hidden","true"),t.className="internal",t.style.clipPath=this.#n;const[n,a]=this.parentDimensions;return this.setDims(this.width*n,this.height*a),fz(this,this.#l,["pointerover","pointerleave"]),this.enableEditing(),e}pointerover(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#f,{rootClass:{hovered:!0}})}pointerleave(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#f,{rootClass:{hovered:!1}})}#O(e){La._keyboardManager.exec(this,e)}_moveCaret(e){switch(this.parent.unselect(this),e){case 0:case 2:this.#R(!0);break;case 1:case 3:this.#R(!1);break}}#R(e){if(!this.#e)return;const t=window.getSelection();e?t.setPosition(this.#e,this.#t):t.setPosition(this.#s,this.#o)}select(){super.select(),this.#f&&this.parent?.drawLayer.updateProperties(this.#f,{rootClass:{hovered:!1,selected:!0}})}unselect(){super.unselect(),this.#f&&(this.parent?.drawLayer.updateProperties(this.#f,{rootClass:{selected:!1}}),this.#u||this.#R(!1))}get _mustFixPosition(){return!this.#u}show(e=this._isVisible){super.show(e),this.parent&&(this.parent.drawLayer.updateProperties(this.#d,{rootClass:{hidden:!e}}),this.parent.drawLayer.updateProperties(this.#f,{rootClass:{hidden:!e}}))}#x(){return this.#u?this.rotation:0}#k(){if(this.#u)return null;const[e,t]=this.pageDimensions,[n,a]=this.pageTranslation,i=this.#r,s=new Float32Array(i.length*8);let o=0;for(const{x:l,y:c,width:u,height:d}of i){const h=l*e+n,p=(1-c)*t+a;s[o]=s[o+4]=h,s[o+1]=s[o+3]=p,s[o+2]=s[o+6]=h+u*e,s[o+5]=s[o+7]=p-d*t,o+=8}return s}#F(e){return this.#c.serialize(e,this.#x())}static startHighlighting(e,t,{target:n,x:a,y:i}){const{x:s,y:o,width:l,height:c}=n.getBoundingClientRect(),u=new AbortController,d=e.combinedSignal(u),h=p=>{u.abort(),this.#G(e,p)};window.addEventListener("blur",h,{signal:d}),window.addEventListener("pointerup",h,{signal:d}),window.addEventListener("pointerdown",ja,{capture:!0,passive:!1,signal:d}),window.addEventListener("contextmenu",ko,{signal:d}),n.addEventListener("pointermove",this.#M.bind(this,e),{signal:d}),this._freeHighlight=new cA({x:a,y:i},[s,o,l,c],e.scale,this._defaultThickness/2,t,.001),{id:this._freeHighlightId,clipPathId:this._freeHighlightClipId}=e.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:this._defaultColor,"fill-opacity":this._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:this._freeHighlight.toSVGPath()}},!0,!0)}static#M(e,t){this._freeHighlight.add(t)&&e.drawLayer.updateProperties(this._freeHighlightId,{path:{d:this._freeHighlight.toSVGPath()}})}static#G(e,t){this._freeHighlight.isEmpty()?e.drawLayer.remove(this._freeHighlightId):e.createAndAddNewEditor(t,!1,{highlightId:this._freeHighlightId,highlightOutlines:this._freeHighlight.getOutlines(),clipPathId:this._freeHighlightClipId,methodOfCreation:"main_toolbar"}),this._freeHighlightId=-1,this._freeHighlight=null,this._freeHighlightClipId=""}static async deserialize(e,t,n){let a=null;if(e instanceof Pz){const{data:{quadPoints:m,rect:g,rotation:b,id:_,color:v,opacity:y,popupRef:E,contentsObj:S},parent:{page:{pageNumber:w}}}=e;a=e={annotationType:Zr.HIGHLIGHT,color:Array.from(v),opacity:y,quadPoints:m,boxes:null,pageIndex:w-1,rect:g.slice(0),rotation:b,annotationElementId:_,id:_,deleted:!1,popupRef:E,comment:S?.str||null}}else if(e instanceof Tx){const{data:{inkLists:m,rect:g,rotation:b,id:_,color:v,borderStyle:{rawWidth:y},popupRef:E,contentsObj:S},parent:{page:{pageNumber:w}}}=e;a=e={annotationType:Zr.HIGHLIGHT,color:Array.from(v),thickness:y,inkLists:m,boxes:null,pageIndex:w-1,rect:g.slice(0),rotation:b,annotationElementId:_,id:_,deleted:!1,popupRef:E,comment:S?.str||null}}const{color:i,quadPoints:s,inkLists:o,opacity:l}=e,c=await super.deserialize(e,t,n);c.color=Dr.makeHexColor(...i),c.#m=l||1,o&&(c.#g=e.thickness),c._initialData=a,e.comment&&c.setCommentData(e.comment);const[u,d]=c.pageDimensions,[h,p]=c.pageTranslation;if(s){const m=c.#r=[];for(let g=0;g<s.length;g+=8)m.push({x:(s[g]-h)/u,y:1-(s[g+1]-p)/d,width:(s[g+2]-s[g])/u,height:(s[g+1]-s[g+5])/d});c.#_(),c.#C(),c.rotate(c.rotation)}else if(o){c.#u=!0;const m=o[0],g={x:m[0]-h,y:d-(m[1]-p)},b=new cA(g,[0,0,u,d],1,c.#g/2,!0,.001);for(let y=0,E=m.length;y<E;y+=2)g.x=m[y]-h,g.y=d-(m[y+1]-p),b.add(g);const{id:_,clipPathId:v}=t.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:c.color,"fill-opacity":c._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:b.toSVGPath()}},!0,!0);c.#y({highlightOutlines:b.getOutlines(),highlightId:_,clipPathId:v}),c.#C(),c.rotate(c.parentRotation)}return c}serialize(e=!1){if(this.isEmpty()||e)return null;if(this.deleted)return this.serializeDeleted();const t=this.getRect(0,0),n=Fr._colorManager.convert(this._uiManager.getNonHCMColor(this.color)),a={annotationType:Zr.HIGHLIGHT,color:n,opacity:this.#m,thickness:this.#g,quadPoints:this.#k(),outlines:this.#F(t),pageIndex:this.pageIndex,rect:t,rotation:this.#x(),structTreeParentId:this._structTreeParentId};return this.addComment(a),this.annotationElementId&&!this.#A(a)?null:(a.id=this.annotationElementId,a)}#A(e){const{color:t}=this._initialData;return this.hasEditedComment||e.color.some((n,a)=>n!==t[a])}renderAnnotationElement(e){const t={rect:this.getRect(0,0)};return this.hasEditedComment&&(t.popup=this.comment),e.updateEdited(t),null}static canCreateNewEmptyEditor(){return!1}}class Bz{#e=Object.create(null);updateProperty(e,t){this[e]=t,this.updateSVGProperty(e,t)}updateProperties(e){if(e)for(const[t,n]of Object.entries(e))t.startsWith("_")||this.updateProperty(t,n)}updateSVGProperty(e,t){this.#e[e]=t}toSVGProperties(){const e=this.#e;return this.#e=Object.create(null),{root:e}}reset(){this.#e=Object.create(null)}updateAll(e=this){this.updateProperties(e)}clone(){Zn("Not implemented")}}class Gr extends Fr{#e=null;#t;_colorPicker=null;_drawId=null;static _currentDrawId=-1;static _currentParent=null;static#r=null;static#n=null;static#i=null;static#a=NaN;static#s=null;static#o=null;static#l=NaN;static _INNER_MARGIN=3;constructor(e){super(e),this.#t=e.mustBeCommitted||!1,this._addOutlines(e)}_addOutlines(e){e.drawOutlines&&(this.#c(e),this.#p())}#c({drawOutlines:e,drawId:t,drawingOptions:n}){this.#e=e,this._drawingOptions||=n,this.annotationElementId||this._uiManager.a11yAlert(`pdfjs-editor-${this.editorType}-added-alert`),t>=0?(this._drawId=t,this.parent.drawLayer.finalizeDraw(t,e.defaultProperties)):this._drawId=this.#d(e,this.parent),this.#h(e.box)}#d(e,t){const{id:n}=t.drawLayer.draw(Gr._mergeSVGProperties(this._drawingOptions.toSVGProperties(),e.defaultSVGProperties),!1,!1);return n}static _mergeSVGProperties(e,t){const n=new Set(Object.keys(e));for(const[a,i]of Object.entries(t))n.has(a)?Object.assign(e[a],i):e[a]=i;return e}static getDefaultDrawingOptions(e){Zn("Not implemented")}static get typesMap(){Zn("Not implemented")}static get isDrawer(){return!0}static get supportMultipleDrawings(){return!1}static updateDefaultParams(e,t){const n=this.typesMap.get(e);n&&this._defaultDrawingOptions.updateProperty(n,t),this._currentParent&&(Gr.#r.updateProperty(n,t),this._currentParent.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}updateParams(e,t){const n=this.constructor.typesMap.get(e);n&&this._updateProperty(e,n,t)}static get defaultPropertiesToUpdate(){const e=[],t=this._defaultDrawingOptions;for(const[n,a]of this.typesMap)e.push([n,t[a]]);return e}get propertiesToUpdate(){const e=[],{_drawingOptions:t}=this;for(const[n,a]of this.constructor.typesMap)e.push([n,t[a]]);return e}_updateProperty(e,t,n){const a=this._drawingOptions,i=a[t],s=o=>{a.updateProperty(t,o);const l=this.#e.updateProperty(t,o);l&&this.#h(l),this.parent?.drawLayer.updateProperties(this._drawId,a.toSVGProperties()),e===this.colorType&&this._colorPicker?.update(o)};this.addCommands({cmd:s.bind(this,n),undo:s.bind(this,i),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:e,overwriteIfSameType:!0,keepUndo:!0})}_onResizing(){this.parent?.drawLayer.updateProperties(this._drawId,Gr._mergeSVGProperties(this.#e.getPathResizingSVGProperties(this.#f()),{bbox:this.#g()}))}_onResized(){this.parent?.drawLayer.updateProperties(this._drawId,Gr._mergeSVGProperties(this.#e.getPathResizedSVGProperties(this.#f()),{bbox:this.#g()}))}_onTranslating(e,t){this.parent?.drawLayer.updateProperties(this._drawId,{bbox:this.#g()})}_onTranslated(){this.parent?.drawLayer.updateProperties(this._drawId,Gr._mergeSVGProperties(this.#e.getPathTranslatedSVGProperties(this.#f(),this.parentDimensions),{bbox:this.#g()}))}_onStartDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!0}})}_onStopDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!1}})}commit(){super.commit(),this.disableEditMode(),this.disableEditing()}disableEditing(){super.disableEditing(),this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}getBaseTranslation(){return[0,0]}get isResizable(){return!0}onceAdded(e){this.annotationElementId||this.parent.addUndoableEditor(this),this._isDraggable=!0,this.#t&&(this.#t=!1,this.commit(),this.parent.setSelected(this),e&&this.isOnScreen&&this.div.focus())}remove(){this.#u(),super.remove()}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.#p(),this.#h(this.#e.box),this.isAttachedToDOM||this.parent.add(this)))}setParent(e){let t=!1;this.parent&&!e?(this._uiManager.removeShouldRescale(this),this.#u()):e&&(this._uiManager.addShouldRescale(this),this.#p(e),t=!this.parent&&this.div?.classList.contains("selectedEditor")),super.setParent(e),t&&this.select()}#u(){this._drawId===null||!this.parent||(this.parent.drawLayer.remove(this._drawId),this._drawId=null,this._drawingOptions.reset())}#p(e=this.parent){if(!(this._drawId!==null&&this.parent===e)){if(this._drawId!==null){this.parent.drawLayer.updateParent(this._drawId,e.drawLayer);return}this._drawingOptions.updateAll(),this._drawId=this.#d(this.#e,e)}}#m([e,t,n,a]){const{parentDimensions:[i,s],rotation:o}=this;switch(o){case 90:return[t,1-e,n*(s/i),a*(i/s)];case 180:return[1-e,1-t,n,a];case 270:return[1-t,e,n*(s/i),a*(i/s)];default:return[e,t,n,a]}}#f(){const{x:e,y:t,width:n,height:a,parentDimensions:[i,s],rotation:o}=this;switch(o){case 90:return[1-t,e,n*(i/s),a*(s/i)];case 180:return[1-e,1-t,n,a];case 270:return[t,1-e,n*(i/s),a*(s/i)];default:return[e,t,n,a]}}#h(e){if([this.x,this.y,this.width,this.height]=this.#m(e),this.div){this.fixAndSetPosition();const[t,n]=this.parentDimensions;this.setDims(this.width*t,this.height*n)}this._onResized()}#g(){const{x:e,y:t,width:n,height:a,rotation:i,parentRotation:s,parentDimensions:[o,l]}=this;switch((i*4+s)/90){case 1:return[1-t-a,e,a,n];case 2:return[1-e-n,1-t-a,n,a];case 3:return[t,1-e-n,a,n];case 4:return[e,t-n*(o/l),a*(l/o),n*(o/l)];case 5:return[1-t,e,n*(o/l),a*(l/o)];case 6:return[1-e-a*(l/o),1-t,a*(l/o),n*(o/l)];case 7:return[t-n*(o/l),1-e-a*(l/o),n*(o/l),a*(l/o)];case 8:return[e-n,t-a,n,a];case 9:return[1-t,e-n,a,n];case 10:return[1-e,1-t,n,a];case 11:return[t-a,1-e,a,n];case 12:return[e-a*(l/o),t,a*(l/o),n*(o/l)];case 13:return[1-t-n*(o/l),e-a*(l/o),n*(o/l),a*(l/o)];case 14:return[1-e,1-t-n*(o/l),a*(l/o),n*(o/l)];case 15:return[t,1-e,n*(o/l),a*(l/o)];default:return[e,t,n,a]}}rotate(){this.parent&&this.parent.drawLayer.updateProperties(this._drawId,Gr._mergeSVGProperties({bbox:this.#g()},this.#e.updateRotation((this.parentRotation-this.rotation+360)%360)))}onScaleChanging(){this.parent&&this.#h(this.#e.updateParentDimensions(this.parentDimensions,this.parent.scale))}static onScaleChangingWhenDrawing(){}render(){if(this.div)return this.div;let e,t;this._isCopy&&(e=this.x,t=this.y);const n=super.render();n.classList.add("draw");const a=document.createElement("div");n.append(a),a.setAttribute("aria-hidden","true"),a.className="internal";const[i,s]=this.parentDimensions;return this.setDims(this.width*i,this.height*s),this._uiManager.addShouldRescale(this),this.disableEditing(),this._isCopy&&this._moveAfterPaste(e,t),n}static createDrawerInstance(e,t,n,a,i){Zn("Not implemented")}static startDrawing(e,t,n,a){const{target:i,offsetX:s,offsetY:o,pointerId:l,pointerType:c}=a;if(Gr.#s&&Gr.#s!==c)return;const{viewport:{rotation:u}}=e,{width:d,height:h}=i.getBoundingClientRect(),p=Gr.#n=new AbortController,m=e.combinedSignal(p);if(Gr.#a||=l,Gr.#s??=c,window.addEventListener("pointerup",g=>{Gr.#a===g.pointerId?this._endDraw(g):Gr.#o?.delete(g.pointerId)},{signal:m}),window.addEventListener("pointercancel",g=>{Gr.#a===g.pointerId?this._currentParent.endDrawingSession():Gr.#o?.delete(g.pointerId)},{signal:m}),window.addEventListener("pointerdown",g=>{Gr.#s===g.pointerType&&((Gr.#o||=new Set).add(g.pointerId),Gr.#r.isCancellable()&&(Gr.#r.removeLastElement(),Gr.#r.isEmpty()?this._currentParent.endDrawingSession(!0):this._endDraw(null)))},{capture:!0,passive:!1,signal:m}),window.addEventListener("contextmenu",ko,{signal:m}),i.addEventListener("pointermove",this._drawMove.bind(this),{signal:m}),i.addEventListener("touchmove",g=>{g.timeStamp===Gr.#l&&ja(g)},{signal:m}),e.toggleDrawing(),t._editorUndoBar?.hide(),Gr.#r){e.drawLayer.updateProperties(this._currentDrawId,Gr.#r.startNew(s,o,d,h,u));return}t.updateUIForDefaultProperties(this),Gr.#r=this.createDrawerInstance(s,o,d,h,u),Gr.#i=this.getDefaultDrawingOptions(),this._currentParent=e,{id:this._currentDrawId}=e.drawLayer.draw(this._mergeSVGProperties(Gr.#i.toSVGProperties(),Gr.#r.defaultSVGProperties),!0,!1)}static _drawMove(e){if(Gr.#l=-1,!Gr.#r)return;const{offsetX:t,offsetY:n,pointerId:a}=e;if(Gr.#a===a){if(Gr.#o?.size>=1){this._endDraw(e);return}this._currentParent.drawLayer.updateProperties(this._currentDrawId,Gr.#r.add(t,n)),Gr.#l=e.timeStamp,ja(e)}}static _cleanup(e){e&&(this._currentDrawId=-1,this._currentParent=null,Gr.#r=null,Gr.#i=null,Gr.#s=null,Gr.#l=NaN),Gr.#n&&(Gr.#n.abort(),Gr.#n=null,Gr.#a=NaN,Gr.#o=null)}static _endDraw(e){const t=this._currentParent;if(t){if(t.toggleDrawing(!0),this._cleanup(!1),e?.target===t.div&&t.drawLayer.updateProperties(this._currentDrawId,Gr.#r.end(e.offsetX,e.offsetY)),this.supportMultipleDrawings){const n=Gr.#r,a=this._currentDrawId,i=n.getLastElement();t.addCommands({cmd:()=>{t.drawLayer.updateProperties(a,n.setLastElement(i))},undo:()=>{t.drawLayer.updateProperties(a,n.removeLastElement())},mustExec:!1,type:Mn.DRAW_STEP});return}this.endDrawing(!1)}}static endDrawing(e){const t=this._currentParent;if(!t)return null;if(t.toggleDrawing(!0),t.cleanUndoStack(Mn.DRAW_STEP),!Gr.#r.isEmpty()){const{pageDimensions:[n,a],scale:i}=t,s=t.createAndAddNewEditor({offsetX:0,offsetY:0},!1,{drawId:this._currentDrawId,drawOutlines:Gr.#r.getOutlines(n*i,a*i,i,this._INNER_MARGIN),drawingOptions:Gr.#i,mustBeCommitted:!e});return this._cleanup(!0),s}return t.drawLayer.remove(this._currentDrawId),this._cleanup(!0),null}createDrawingOptions(e){}static deserializeDraw(e,t,n,a,i,s){Zn("Not implemented")}static async deserialize(e,t,n){const{rawDims:{pageWidth:a,pageHeight:i,pageX:s,pageY:o}}=t.viewport,l=this.deserializeDraw(s,o,a,i,this._INNER_MARGIN,e),c=await super.deserialize(e,t,n);return c.createDrawingOptions(e),c.#c({drawOutlines:l}),c.#p(),c.onScaleChanging(),c.rotate(),c}serializeDraw(e){const[t,n]=this.pageTranslation,[a,i]=this.pageDimensions;return this.#e.serialize([t,n,a,i],e)}renderAnnotationElement(e){return e.updateEdited({rect:this.getRect(0,0)}),null}static canCreateNewEmptyEditor(){return!1}}class Gye{#e=new Float64Array(6);#t;#r;#n;#i;#a;#s="";#o=0;#l=new Ag;#c;#d;constructor(e,t,n,a,i,s){this.#c=n,this.#d=a,this.#n=i,this.#i=s,[e,t]=this.#u(e,t);const o=this.#t=[NaN,NaN,NaN,NaN,e,t];this.#a=[e,t],this.#r=[{line:o,points:this.#a}],this.#e.set(o,0)}updateProperty(e,t){e==="stroke-width"&&(this.#i=t)}#u(e,t){return br._normalizePoint(e,t,this.#c,this.#d,this.#n)}isEmpty(){return!this.#r||this.#r.length===0}isCancellable(){return this.#a.length<=10}add(e,t){[e,t]=this.#u(e,t);const[n,a,i,s]=this.#e.subarray(2,6),o=e-i,l=t-s;return Math.hypot(this.#c*o,this.#d*l)<=2?null:(this.#a.push(e,t),isNaN(n)?(this.#e.set([i,s,e,t],2),this.#t.push(NaN,NaN,NaN,NaN,e,t),{path:{d:this.toSVGPath()}}):(isNaN(this.#e[0])&&this.#t.splice(6,6),this.#e.set([n,a,i,s,e,t],0),this.#t.push(...br.createBezierPoints(n,a,i,s,e,t)),{path:{d:this.toSVGPath()}}))}end(e,t){const n=this.add(e,t);return n||(this.#a.length===2?{path:{d:this.toSVGPath()}}:null)}startNew(e,t,n,a,i){this.#c=n,this.#d=a,this.#n=i,[e,t]=this.#u(e,t);const s=this.#t=[NaN,NaN,NaN,NaN,e,t];this.#a=[e,t];const o=this.#r.at(-1);return o&&(o.line=new Float32Array(o.line),o.points=new Float32Array(o.points)),this.#r.push({line:s,points:this.#a}),this.#e.set(s,0),this.#o=0,this.toSVGPath(),null}getLastElement(){return this.#r.at(-1)}setLastElement(e){return this.#r?(this.#r.push(e),this.#t=e.line,this.#a=e.points,this.#o=0,{path:{d:this.toSVGPath()}}):this.#l.setLastElement(e)}removeLastElement(){if(!this.#r)return this.#l.removeLastElement();this.#r.pop(),this.#s="";for(let e=0,t=this.#r.length;e<t;e++){const{line:n,points:a}=this.#r[e];this.#t=n,this.#a=a,this.#o=0,this.toSVGPath()}return{path:{d:this.#s}}}toSVGPath(){const e=br.svgRound(this.#t[4]),t=br.svgRound(this.#t[5]);if(this.#a.length===2)return this.#s=`${this.#s} M ${e} ${t} Z`,this.#s;if(this.#a.length<=6){const a=this.#s.lastIndexOf("M");this.#s=`${this.#s.slice(0,a)} M ${e} ${t}`,this.#o=6}if(this.#a.length===4){const a=br.svgRound(this.#t[10]),i=br.svgRound(this.#t[11]);return this.#s=`${this.#s} L ${a} ${i}`,this.#o=12,this.#s}const n=[];this.#o===0&&(n.push(`M ${e} ${t}`),this.#o=6);for(let a=this.#o,i=this.#t.length;a<i;a+=6){const[s,o,l,c,u,d]=this.#t.slice(a,a+6).map(br.svgRound);n.push(`C${s} ${o} ${l} ${c} ${u} ${d}`)}return this.#s+=n.join(" "),this.#o=this.#t.length,this.#s}getOutlines(e,t,n,a){const i=this.#r.at(-1);return i.line=new Float32Array(i.line),i.points=new Float32Array(i.points),this.#l.build(this.#r,e,t,n,this.#n,this.#i,a),this.#e=null,this.#t=null,this.#r=null,this.#s=null,this.#l}get defaultSVGProperties(){return{root:{viewBox:"0 0 10000 10000"},rootClass:{draw:!0},bbox:[0,0,1,1]}}}class Ag extends br{#e;#t=0;#r;#n;#i;#a;#s;#o;#l;build(e,t,n,a,i,s,o){this.#i=t,this.#a=n,this.#s=a,this.#o=i,this.#l=s,this.#r=o??0,this.#n=e,this.#u()}get thickness(){return this.#l}setLastElement(e){return this.#n.push(e),{path:{d:this.toSVGPath()}}}removeLastElement(){return this.#n.pop(),{path:{d:this.toSVGPath()}}}toSVGPath(){const e=[];for(const{line:t}of this.#n){if(e.push(`M${br.svgRound(t[4])} ${br.svgRound(t[5])}`),t.length===6){e.push("Z");continue}if(t.length===12&&isNaN(t[6])){e.push(`L${br.svgRound(t[10])} ${br.svgRound(t[11])}`);continue}for(let n=6,a=t.length;n<a;n+=6){const[i,s,o,l,c,u]=t.subarray(n,n+6).map(br.svgRound);e.push(`C${i} ${s} ${o} ${l} ${c} ${u}`)}}return e.join("")}serialize([e,t,n,a],i){const s=[],o=[],[l,c,u,d]=this.#d();let h,p,m,g,b,_,v,y,E;switch(this.#o){case 0:E=br._rescale,h=e,p=t+a,m=n,g=-a,b=e+l*n,_=t+(1-c-d)*a,v=e+(l+u)*n,y=t+(1-c)*a;break;case 90:E=br._rescaleAndSwap,h=e,p=t,m=n,g=a,b=e+c*n,_=t+l*a,v=e+(c+d)*n,y=t+(l+u)*a;break;case 180:E=br._rescale,h=e+n,p=t,m=-n,g=a,b=e+(1-l-u)*n,_=t+c*a,v=e+(1-l)*n,y=t+(c+d)*a;break;case 270:E=br._rescaleAndSwap,h=e+n,p=t+a,m=-n,g=-a,b=e+(1-c-d)*n,_=t+(1-l-u)*a,v=e+(1-c)*n,y=t+(1-l)*a;break}for(const{line:S,points:w}of this.#n)s.push(E(S,h,p,m,g,i?new Array(S.length):null)),o.push(E(w,h,p,m,g,i?new Array(w.length):null));return{lines:s,points:o,rect:[b,_,v,y]}}static deserialize(e,t,n,a,i,{paths:{lines:s,points:o},rotation:l,thickness:c}){const u=[];let d,h,p,m,g;switch(l){case 0:g=br._rescale,d=-e/n,h=t/a+1,p=1/n,m=-1/a;break;case 90:g=br._rescaleAndSwap,d=-t/a,h=-e/n,p=1/a,m=1/n;break;case 180:g=br._rescale,d=e/n+1,h=-t/a,p=-1/n,m=1/a;break;case 270:g=br._rescaleAndSwap,d=t/a+1,h=e/n+1,p=-1/a,m=-1/n;break}if(!s){s=[];for(const _ of o){const v=_.length;if(v===2){s.push(new Float32Array([NaN,NaN,NaN,NaN,_[0],_[1]]));continue}if(v===4){s.push(new Float32Array([NaN,NaN,NaN,NaN,_[0],_[1],NaN,NaN,NaN,NaN,_[2],_[3]]));continue}const y=new Float32Array(3*(v-2));s.push(y);let[E,S,w,C]=_.subarray(0,4);y.set([NaN,NaN,NaN,NaN,E,S],0);for(let x=4;x<v;x+=2){const N=_[x],I=_[x+1];y.set(br.createBezierPoints(E,S,w,C,N,I),(x-2)*3),[E,S,w,C]=[w,C,N,I]}}}for(let _=0,v=s.length;_<v;_++)u.push({line:g(s[_].map(y=>y??NaN),d,h,p,m),points:g(o[_].map(y=>y??NaN),d,h,p,m)});const b=new this.prototype.constructor;return b.build(u,n,a,1,l,c,i),b}#c(e=this.#l){const t=this.#r+e/2*this.#s;return this.#o%180===0?[t/this.#i,t/this.#a]:[t/this.#a,t/this.#i]}#d(){const[e,t,n,a]=this.#e,[i,s]=this.#c(0);return[e+i,t+s,n-2*i,a-2*s]}#u(){const e=this.#e=new Float32Array([1/0,1/0,-1/0,-1/0]);for(const{line:a}of this.#n){if(a.length<=12){for(let o=4,l=a.length;o<l;o+=6)Dr.pointBoundingBox(a[o],a[o+1],e);continue}let i=a[4],s=a[5];for(let o=6,l=a.length;o<l;o+=6){const[c,u,d,h,p,m]=a.subarray(o,o+6);Dr.bezierBoundingBox(i,s,c,u,d,h,p,m,e),i=p,s=m}}const[t,n]=this.#c();e[0]=ts(e[0]-t,0,1),e[1]=ts(e[1]-n,0,1),e[2]=ts(e[2]+t,0,1),e[3]=ts(e[3]+n,0,1),e[2]-=e[0],e[3]-=e[1]}get box(){return this.#e}updateProperty(e,t){return e==="stroke-width"?this.#p(t):null}#p(e){const[t,n]=this.#c();this.#l=e;const[a,i]=this.#c(),[s,o]=[a-t,i-n],l=this.#e;return l[0]-=s,l[1]-=o,l[2]+=2*s,l[3]+=2*o,l}updateParentDimensions([e,t],n){const[a,i]=this.#c();this.#i=e,this.#a=t,this.#s=n;const[s,o]=this.#c(),l=s-a,c=o-i,u=this.#e;return u[0]-=l,u[1]-=c,u[2]+=2*l,u[3]+=2*c,u}updateRotation(e){return this.#t=e,{path:{transform:this.rotationTransform}}}get viewBox(){return this.#e.map(br.svgRound).join(" ")}get defaultProperties(){const[e,t]=this.#e;return{root:{viewBox:this.viewBox},path:{"transform-origin":`${br.svgRound(e)} ${br.svgRound(t)}`}}}get rotationTransform(){const[,,e,t]=this.#e;let n=0,a=0,i=0,s=0,o=0,l=0;switch(this.#t){case 90:a=t/e,i=-e/t,o=e;break;case 180:n=-1,s=-1,o=e,l=t;break;case 270:a=-t/e,i=e/t,l=t;break;default:return""}return`matrix(${n} ${a} ${i} ${s} ${br.svgRound(o)} ${br.svgRound(l)})`}getPathResizingSVGProperties([e,t,n,a]){const[i,s]=this.#c(),[o,l,c,u]=this.#e;if(Math.abs(c-i)<=br.PRECISION||Math.abs(u-s)<=br.PRECISION){const g=e+n/2-(o+c/2),b=t+a/2-(l+u/2);return{path:{"transform-origin":`${br.svgRound(e)} ${br.svgRound(t)}`,transform:`${this.rotationTransform} translate(${g} ${b})`}}}const d=(n-2*i)/(c-2*i),h=(a-2*s)/(u-2*s),p=c/n,m=u/a;return{path:{"transform-origin":`${br.svgRound(o)} ${br.svgRound(l)}`,transform:`${this.rotationTransform} scale(${p} ${m}) translate(${br.svgRound(i)} ${br.svgRound(s)}) scale(${d} ${h}) translate(${br.svgRound(-i)} ${br.svgRound(-s)})`}}}getPathResizedSVGProperties([e,t,n,a]){const[i,s]=this.#c(),o=this.#e,[l,c,u,d]=o;if(o[0]=e,o[1]=t,o[2]=n,o[3]=a,Math.abs(u-i)<=br.PRECISION||Math.abs(d-s)<=br.PRECISION){const b=e+n/2-(l+u/2),_=t+a/2-(c+d/2);for(const{line:v,points:y}of this.#n)br._translate(v,b,_,v),br._translate(y,b,_,y);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${br.svgRound(e)} ${br.svgRound(t)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}const h=(n-2*i)/(u-2*i),p=(a-2*s)/(d-2*s),m=-h*(l+i)+e+i,g=-p*(c+s)+t+s;if(h!==1||p!==1||m!==0||g!==0)for(const{line:b,points:_}of this.#n)br._rescale(b,m,g,h,p,b),br._rescale(_,m,g,h,p,_);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${br.svgRound(e)} ${br.svgRound(t)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}getPathTranslatedSVGProperties([e,t],n){const[a,i]=n,s=this.#e,o=e-s[0],l=t-s[1];if(this.#i===a&&this.#a===i)for(const{line:c,points:u}of this.#n)br._translate(c,o,l,c),br._translate(u,o,l,u);else{const c=this.#i/a,u=this.#a/i;this.#i=a,this.#a=i;for(const{line:d,points:h}of this.#n)br._rescale(d,o,l,c,u,d),br._rescale(h,o,l,c,u,h);s[2]*=c,s[3]*=u}return s[0]=e,s[1]=t,{root:{viewBox:this.viewBox},path:{d:this.toSVGPath(),"transform-origin":`${br.svgRound(e)} ${br.svgRound(t)}`}}}get defaultSVGProperties(){const e=this.#e;return{root:{viewBox:this.viewBox},rootClass:{draw:!0},path:{d:this.toSVGPath(),"transform-origin":`${br.svgRound(e[0])} ${br.svgRound(e[1])}`,transform:this.rotationTransform||null},bbox:e}}}class py extends Bz{constructor(e){super(),this._viewParameters=e,super.updateProperties({fill:"none",stroke:Fr._defaultLineColor,"stroke-opacity":1,"stroke-width":1,"stroke-linecap":"round","stroke-linejoin":"round","stroke-miterlimit":10})}updateSVGProperty(e,t){e==="stroke-width"&&(t??=this["stroke-width"],t*=this._viewParameters.realScale),super.updateSVGProperty(e,t)}clone(){const e=new py(this._viewParameters);return e.updateAll(this),e}}class Ax extends Gr{static _type="ink";static _editorType=Zr.INK;static _defaultDrawingOptions=null;constructor(e){super({...e,name:"inkEditor"}),this._willKeepAspectRatio=!0,this.defaultL10nId="pdfjs-editor-ink-editor"}static initialize(e,t){Fr.initialize(e,t),this._defaultDrawingOptions=new py(t.viewParameters)}static getDefaultDrawingOptions(e){const t=this._defaultDrawingOptions.clone();return t.updateProperties(e),t}static get supportMultipleDrawings(){return!0}static get typesMap(){return bn(this,"typesMap",new Map([[Mn.INK_THICKNESS,"stroke-width"],[Mn.INK_COLOR,"stroke"],[Mn.INK_OPACITY,"stroke-opacity"]]))}static createDrawerInstance(e,t,n,a,i){return new Gye(e,t,n,a,i,this._defaultDrawingOptions["stroke-width"])}static deserializeDraw(e,t,n,a,i,s){return Ag.deserialize(e,t,n,a,i,s)}static async deserialize(e,t,n){let a=null;if(e instanceof Tx){const{data:{inkLists:s,rect:o,rotation:l,id:c,color:u,opacity:d,borderStyle:{rawWidth:h},popupRef:p,contentsObj:m},parent:{page:{pageNumber:g}}}=e;a=e={annotationType:Zr.INK,color:Array.from(u),thickness:h,opacity:d,paths:{points:s},boxes:null,pageIndex:g-1,rect:o.slice(0),rotation:l,annotationElementId:c,id:c,deleted:!1,popupRef:p,comment:m?.str||null}}const i=await super.deserialize(e,t,n);return i._initialData=a,e.comment&&i.setCommentData(e.comment),i}get toolbarButtons(){return this._colorPicker||=new Lm(this),[["colorPicker",this._colorPicker]]}get colorType(){return Mn.INK_COLOR}get colorValue(){return this._drawingOptions.stroke}onScaleChanging(){if(!this.parent)return;super.onScaleChanging();const{_drawId:e,_drawingOptions:t,parent:n}=this;t.updateSVGProperty("stroke-width"),n.drawLayer.updateProperties(e,t.toSVGProperties())}static onScaleChangingWhenDrawing(){const e=this._currentParent;e&&(super.onScaleChangingWhenDrawing(),this._defaultDrawingOptions.updateSVGProperty("stroke-width"),e.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}createDrawingOptions({color:e,thickness:t,opacity:n}){this._drawingOptions=Ax.getDefaultDrawingOptions({stroke:Dr.makeHexColor(...e),"stroke-width":t,"stroke-opacity":n})}serialize(e=!1){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const{lines:t,points:n,rect:a}=this.serializeDraw(e),{_drawingOptions:{stroke:i,"stroke-opacity":s,"stroke-width":o}}=this,l={annotationType:Zr.INK,color:Fr._colorManager.convert(i),opacity:s,thickness:o,paths:{lines:t,points:n},pageIndex:this.pageIndex,rect:a,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.addComment(l),e?(l.isCopy=!0,l):this.annotationElementId&&!this.#e(l)?null:(l.id=this.annotationElementId,l)}#e(e){const{color:t,thickness:n,opacity:a,pageIndex:i}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||this._hasBeenResized||e.color.some((s,o)=>s!==t[o])||e.thickness!==n||e.opacity!==a||e.pageIndex!==i}renderAnnotationElement(e){const{points:t,rect:n}=this.serializeDraw(!1),a={rect:n,thickness:this._drawingOptions["stroke-width"],points:t};return this.hasEditedComment&&(a.popup=this.comment),e.updateEdited(a),null}}class uA extends Ag{toSVGPath(){let e=super.toSVGPath();return e.endsWith("Z")||(e+="Z"),e}}const W1=8,Pp=3;class qh{static#e={maxDim:512,sigmaSFactor:.02,sigmaR:25,kernelSize:16};static#t(e,t,n,a){return n-=e,a-=t,n===0?a>0?0:4:n===1?a+6:2-a}static#r=new Int32Array([0,1,-1,1,-1,0,-1,-1,0,-1,1,-1,1,0,1,1]);static#n(e,t,n,a,i,s,o){const l=this.#t(n,a,i,s);for(let c=0;c<8;c++){const u=(-c+l-o+16)%8,d=this.#r[2*u],h=this.#r[2*u+1];if(e[(n+d)*t+(a+h)]!==0)return u}return-1}static#i(e,t,n,a,i,s,o){const l=this.#t(n,a,i,s);for(let c=0;c<8;c++){const u=(c+l+o+16)%8,d=this.#r[2*u],h=this.#r[2*u+1];if(e[(n+d)*t+(a+h)]!==0)return u}return-1}static#a(e,t,n,a){const i=e.length,s=new Int32Array(i);for(let u=0;u<i;u++)s[u]=e[u]<=a?1:0;for(let u=1;u<n-1;u++)s[u*t]=s[u*t+t-1]=0;for(let u=0;u<t;u++)s[u]=s[t*n-1-u]=0;let o=1,l;const c=[];for(let u=1;u<n-1;u++){l=1;for(let d=1;d<t-1;d++){const h=u*t+d,p=s[h];if(p===0)continue;let m=u,g=d;if(p===1&&s[h-1]===0)o+=1,g-=1;else if(p>=1&&s[h+1]===0)o+=1,g+=1,p>1&&(l=p);else{p!==1&&(l=Math.abs(p));continue}const b=[d,u],_=g===d+1,v={isHole:_,points:b,id:o,parent:0};c.push(v);let y;for(const D of c)if(D.id===l){y=D;break}y?y.isHole?v.parent=_?y.parent:l:v.parent=_?l:y.parent:v.parent=_?l:0;const E=this.#n(s,t,u,d,m,g,0);if(E===-1){s[h]=-o,s[h]!==1&&(l=Math.abs(s[h]));continue}let S=this.#r[2*E],w=this.#r[2*E+1];const C=u+S,x=d+w;m=C,g=x;let N=u,I=d;for(;;){const D=this.#i(s,t,N,I,m,g,1);S=this.#r[2*D],w=this.#r[2*D+1];const V=N+S,q=I+w;b.push(q,V);const $=N*t+I;if(s[$+1]===0?s[$]=-o:s[$]===1&&(s[$]=o),V===u&&q===d&&N===C&&I===x){s[h]!==1&&(l=Math.abs(s[h]));break}else m=N,g=I,N=V,I=q}}}return c}static#s(e,t,n,a){if(n-t<=4){for(let C=t;C<n-2;C+=2)a.push(e[C],e[C+1]);return}const i=e[t],s=e[t+1],o=e[n-4]-i,l=e[n-3]-s,c=Math.hypot(o,l),u=o/c,d=l/c,h=u*s-d*i,p=l/o,m=1/c,g=Math.atan(p),b=Math.cos(g),_=Math.sin(g),v=m*(Math.abs(b)+Math.abs(_)),y=m*(1-v+v**2),E=Math.max(Math.atan(Math.abs(_+b)*y),Math.atan(Math.abs(_-b)*y));let S=0,w=t;for(let C=t+2;C<n-2;C+=2){const x=Math.abs(h-u*e[C+1]+d*e[C]);x>S&&(w=C,S=x)}S>(c*E)**2?(this.#s(e,t,w+2,a),this.#s(e,w,n,a)):a.push(i,s)}static#o(e){const t=[],n=e.length;return this.#s(e,0,n,t),t.push(e[n-2],e[n-1]),t.length<=4?null:t}static#l(e,t,n,a,i,s){const o=new Float32Array(s**2),l=-2*a**2,c=s>>1;for(let g=0;g<s;g++){const b=(g-c)**2;for(let _=0;_<s;_++)o[g*s+_]=Math.exp((b+(_-c)**2)/l)}const u=new Float32Array(256),d=-2*i**2;for(let g=0;g<256;g++)u[g]=Math.exp(g**2/d);const h=e.length,p=new Uint8Array(h),m=new Uint32Array(256);for(let g=0;g<n;g++)for(let b=0;b<t;b++){const _=g*t+b,v=e[_];let y=0,E=0;for(let w=0;w<s;w++){const C=g+w-c;if(!(C<0||C>=n))for(let x=0;x<s;x++){const N=b+x-c;if(N<0||N>=t)continue;const I=e[C*t+N],D=o[w*s+x]*u[Math.abs(I-v)];y+=I*D,E+=D}}const S=p[_]=Math.round(y/E);m[S]++}return[p,m]}static#c(e){const t=new Uint32Array(256);for(const n of e)t[n]++;return t}static#d(e){const t=e.length,n=new Uint8ClampedArray(t>>2);let a=-1/0,i=1/0;for(let o=0,l=n.length;o<l;o++){const c=n[o]=e[o<<2];a=Math.max(a,c),i=Math.min(i,c)}const s=255/(a-i);for(let o=0,l=n.length;o<l;o++)n[o]=(n[o]-i)*s;return n}static#u(e){let t,n=-1/0,a=-1/0;const i=e.findIndex(l=>l!==0);let s=i,o=i;for(t=i;t<256;t++){const l=e[t];l>n&&(t-s>a&&(a=t-s,o=t-1),n=l,s=t)}for(t=o-1;t>=0&&!(e[t]>e[t+1]);t--);return t}static#p(e){const t=e,{width:n,height:a}=e,{maxDim:i}=this.#e;let s=n,o=a;if(n>i||a>i){let h=n,p=a,m=Math.log2(Math.max(n,a)/i);const g=Math.floor(m);m=m===g?g-1:g;for(let _=0;_<m;_++){s=Math.ceil(h/2),o=Math.ceil(p/2);const v=new OffscreenCanvas(s,o);v.getContext("2d").drawImage(e,0,0,h,p,0,0,s,o),h=s,p=o,e!==t&&e.close(),e=v.transferToImageBitmap()}const b=Math.min(i/s,i/o);s=Math.round(s*b),o=Math.round(o*b)}const c=new OffscreenCanvas(s,o).getContext("2d",{willReadFrequently:!0});c.fillStyle="white",c.fillRect(0,0,s,o),c.filter="grayscale(1)",c.drawImage(e,0,0,e.width,e.height,0,0,s,o);const u=c.getImageData(0,0,s,o).data;return[this.#d(u),s,o]}static extractContoursFromText(e,{fontFamily:t,fontStyle:n,fontWeight:a},i,s,o,l){let c=new OffscreenCanvas(1,1),u=c.getContext("2d",{alpha:!1});const d=200,h=u.font=`${n} ${a} ${d}px ${t}`,{actualBoundingBoxLeft:p,actualBoundingBoxRight:m,actualBoundingBoxAscent:g,actualBoundingBoxDescent:b,fontBoundingBoxAscent:_,fontBoundingBoxDescent:v,width:y}=u.measureText(e),E=1.5,S=Math.ceil(Math.max(Math.abs(p)+Math.abs(m)||0,y)*E),w=Math.ceil(Math.max(Math.abs(g)+Math.abs(b)||d,Math.abs(_)+Math.abs(v)||d)*E);c=new OffscreenCanvas(S,w),u=c.getContext("2d",{alpha:!0,willReadFrequently:!0}),u.font=h,u.filter="grayscale(1)",u.fillStyle="white",u.fillRect(0,0,S,w),u.fillStyle="black",u.fillText(e,S*(E-1)/2,w*(3-E)/2);const C=this.#d(u.getImageData(0,0,S,w).data),x=this.#c(C),N=this.#u(x),I=this.#a(C,S,w,N);return this.processDrawnLines({lines:{curves:I,width:S,height:w},pageWidth:i,pageHeight:s,rotation:o,innerMargin:l,mustSmooth:!0,areContours:!0})}static process(e,t,n,a,i){const[s,o,l]=this.#p(e),[c,u]=this.#l(s,o,l,Math.hypot(o,l)*this.#e.sigmaSFactor,this.#e.sigmaR,this.#e.kernelSize),d=this.#u(u),h=this.#a(c,o,l,d);return this.processDrawnLines({lines:{curves:h,width:o,height:l},pageWidth:t,pageHeight:n,rotation:a,innerMargin:i,mustSmooth:!0,areContours:!0})}static processDrawnLines({lines:e,pageWidth:t,pageHeight:n,rotation:a,innerMargin:i,mustSmooth:s,areContours:o}){a%180!==0&&([t,n]=[n,t]);const{curves:l,width:c,height:u}=e,d=e.thickness??0,h=[],p=Math.min(t/c,n/u),m=p/t,g=p/n,b=[];for(const{points:v}of l){const y=s?this.#o(v):v;if(!y)continue;b.push(y);const E=y.length,S=new Float32Array(E),w=new Float32Array(3*(E===2?2:E-2));if(h.push({line:w,points:S}),E===2){S[0]=y[0]*m,S[1]=y[1]*g,w.set([NaN,NaN,NaN,NaN,S[0],S[1]],0);continue}let[C,x,N,I]=y;C*=m,x*=g,N*=m,I*=g,S.set([C,x,N,I],0),w.set([NaN,NaN,NaN,NaN,C,x],0);for(let D=4;D<E;D+=2){const V=S[D]=y[D]*m,q=S[D+1]=y[D+1]*g;w.set(br.createBezierPoints(C,x,N,I,V,q),(D-2)*3),[C,x,N,I]=[N,I,V,q]}}if(h.length===0)return null;const _=o?new uA:new Ag;return _.build(h,t,n,1,a,o?0:d,i),{outline:_,newCurves:b,areContours:o,thickness:d,width:c,height:u}}static async compressSignature({outlines:e,areContours:t,thickness:n,width:a,height:i}){let s=1/0,o=-1/0,l=0;for(const y of e){l+=y.length;for(let E=2,S=y.length;E<S;E++){const w=y[E]-y[E-2];s=Math.min(s,w),o=Math.max(o,w)}}let c;s>=-128&&o<=127?c=Int8Array:s>=-32768&&o<=32767?c=Int16Array:c=Int32Array;const u=e.length,d=W1+Pp*u,h=new Uint32Array(d);let p=0;h[p++]=d*Uint32Array.BYTES_PER_ELEMENT+(l-2*u)*c.BYTES_PER_ELEMENT,h[p++]=0,h[p++]=a,h[p++]=i,h[p++]=t?0:1,h[p++]=Math.max(0,Math.floor(n??0)),h[p++]=u,h[p++]=c.BYTES_PER_ELEMENT;for(const y of e)h[p++]=y.length-2,h[p++]=y[0],h[p++]=y[1];const m=new CompressionStream("deflate-raw"),g=m.writable.getWriter();await g.ready,g.write(h);const b=c.prototype.constructor;for(const y of e){const E=new b(y.length-2);for(let S=2,w=y.length;S<w;S++)E[S-2]=y[S]-y[S-2];g.write(E)}g.close();const _=await new Response(m.readable).arrayBuffer(),v=new Uint8Array(_);return hz(v)}static async decompressSignature(e){try{const t=uve(e),{readable:n,writable:a}=new DecompressionStream("deflate-raw"),i=a.getWriter();await i.ready,i.write(t).then(async()=>{await i.ready,await i.close()}).catch(()=>{});let s=null,o=0;for await(const y of n)s||=new Uint8Array(new Uint32Array(y.buffer,0,4)[0]),s.set(y,o),o+=y.length;const l=new Uint32Array(s.buffer,0,s.length>>2),c=l[1];if(c!==0)throw new Error(`Invalid version: ${c}`);const u=l[2],d=l[3],h=l[4]===0,p=l[5],m=l[6],g=l[7],b=[],_=(W1+Pp*m)*Uint32Array.BYTES_PER_ELEMENT;let v;switch(g){case Int8Array.BYTES_PER_ELEMENT:v=new Int8Array(s.buffer,_);break;case Int16Array.BYTES_PER_ELEMENT:v=new Int16Array(s.buffer,_);break;case Int32Array.BYTES_PER_ELEMENT:v=new Int32Array(s.buffer,_);break}o=0;for(let y=0;y<m;y++){const E=l[Pp*y+W1],S=new Float32Array(E+2);b.push(S);for(let w=0;w<Pp-1;w++)S[w]=l[Pp*y+W1+w+1];for(let w=0;w<E;w++)S[w+2]=S[w]+v[o++]}return{areContours:h,thickness:p,outlines:b,width:u,height:d}}catch(t){return Jr(`decompressSignature: ${t}`),null}}}class xx extends Bz{constructor(){super(),super.updateProperties({fill:Fr._defaultLineColor,"stroke-width":0})}clone(){const e=new xx;return e.updateAll(this),e}}class Rx extends py{constructor(e){super(e),super.updateProperties({stroke:Fr._defaultLineColor,"stroke-width":1})}clone(){const e=new Rx(this._viewParameters);return e.updateAll(this),e}}class yl extends Gr{#e=!1;#t=null;#r=null;#n=null;static _type="signature";static _editorType=Zr.SIGNATURE;static _defaultDrawingOptions=null;constructor(e){super({...e,mustBeCommitted:!0,name:"signatureEditor"}),this._willKeepAspectRatio=!0,this.#r=e.signatureData||null,this.#t=null,this.defaultL10nId="pdfjs-editor-signature-editor1"}static initialize(e,t){Fr.initialize(e,t),this._defaultDrawingOptions=new xx,this._defaultDrawnSignatureOptions=new Rx(t.viewParameters)}static getDefaultDrawingOptions(e){const t=this._defaultDrawingOptions.clone();return t.updateProperties(e),t}static get supportMultipleDrawings(){return!1}static get typesMap(){return bn(this,"typesMap",new Map)}static get isDrawer(){return!1}get telemetryFinalData(){return{type:"signature",hasDescription:!!this.#t}}static computeTelemetryFinalData(e){const t=e.get("hasDescription");return{hasAltText:t.get(!0)??0,hasNoAltText:t.get(!1)??0}}get isResizable(){return!0}onScaleChanging(){this._drawId!==null&&super.onScaleChanging()}render(){if(this.div)return this.div;let e,t;const{_isCopy:n}=this;if(n&&(this._isCopy=!1,e=this.x,t=this.y),super.render(),this._drawId===null)if(this.#r){const{lines:a,mustSmooth:i,areContours:s,description:o,uuid:l,heightInPage:c}=this.#r,{rawDims:{pageWidth:u,pageHeight:d},rotation:h}=this.parent.viewport,p=qh.processDrawnLines({lines:a,pageWidth:u,pageHeight:d,rotation:h,innerMargin:yl._INNER_MARGIN,mustSmooth:i,areContours:s});this.addSignature(p,c,o,l)}else this.div.setAttribute("data-l10n-args",JSON.stringify({description:""})),this.div.hidden=!0,this._uiManager.getSignature(this);else this.div.setAttribute("data-l10n-args",JSON.stringify({description:this.#t||""}));return n&&(this._isCopy=!0,this._moveAfterPaste(e,t)),this.div}setUuid(e){this.#n=e,this.addEditToolbar()}getUuid(){return this.#n}get description(){return this.#t}set description(e){this.#t=e,this.div&&(this.div.setAttribute("data-l10n-args",JSON.stringify({description:e})),super.addEditToolbar().then(t=>{t?.updateEditSignatureButton(e)}))}getSignaturePreview(){const{newCurves:e,areContours:t,thickness:n,width:a,height:i}=this.#r,s=Math.max(a,i),o=qh.processDrawnLines({lines:{curves:e.map(l=>({points:l})),thickness:n,width:a,height:i},pageWidth:s,pageHeight:s,rotation:0,innerMargin:0,mustSmooth:!1,areContours:t});return{areContours:t,outline:o.outline}}get toolbarButtons(){return this._uiManager.signatureManager?[["editSignature",this._uiManager.signatureManager]]:super.toolbarButtons}addSignature(e,t,n,a){const{x:i,y:s}=this,{outline:o}=this.#r=e;this.#e=o instanceof uA,this.description=n;let l;this.#e?l=yl.getDefaultDrawingOptions():(l=yl._defaultDrawnSignatureOptions.clone(),l.updateProperties({"stroke-width":o.thickness})),this._addOutlines({drawOutlines:o,drawingOptions:l});const[c,u]=this.parentDimensions,[,d]=this.pageDimensions;let h=t/d;h=h>=1?.5:h,this.width*=h/this.height,this.width>=1&&(h*=.9/this.width,this.width=.9),this.height=h,this.setDims(c*this.width,u*this.height),this.x=i,this.y=s,this.center(),this._onResized(),this.onScaleChanging(),this.rotate(),this._uiManager.addToAnnotationStorage(this),this.setUuid(a),this._reportTelemetry({action:"pdfjs.signature.inserted",data:{hasBeenSaved:!!a,hasDescription:!!n}}),this.div.hidden=!1}getFromImage(e){const{rawDims:{pageWidth:t,pageHeight:n},rotation:a}=this.parent.viewport;return qh.process(e,t,n,a,yl._INNER_MARGIN)}getFromText(e,t){const{rawDims:{pageWidth:n,pageHeight:a},rotation:i}=this.parent.viewport;return qh.extractContoursFromText(e,t,n,a,i,yl._INNER_MARGIN)}getDrawnSignature(e){const{rawDims:{pageWidth:t,pageHeight:n},rotation:a}=this.parent.viewport;return qh.processDrawnLines({lines:e,pageWidth:t,pageHeight:n,rotation:a,innerMargin:yl._INNER_MARGIN,mustSmooth:!1,areContours:!1})}createDrawingOptions({areContours:e,thickness:t}){e?this._drawingOptions=yl.getDefaultDrawingOptions():(this._drawingOptions=yl._defaultDrawnSignatureOptions.clone(),this._drawingOptions.updateProperties({"stroke-width":t}))}serialize(e=!1){if(this.isEmpty())return null;const{lines:t,points:n,rect:a}=this.serializeDraw(e),{_drawingOptions:{"stroke-width":i}}=this,s={annotationType:Zr.SIGNATURE,isSignature:!0,areContours:this.#e,color:[0,0,0],thickness:this.#e?0:i,pageIndex:this.pageIndex,rect:a,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.addComment(s),e?(s.paths={lines:t,points:n},s.uuid=this.#n,s.isCopy=!0):s.lines=t,this.#t&&(s.accessibilityData={type:"Figure",alt:this.#t}),s}static deserializeDraw(e,t,n,a,i,s){return s.areContours?uA.deserialize(e,t,n,a,i,s):Ag.deserialize(e,t,n,a,i,s)}static async deserialize(e,t,n){const a=await super.deserialize(e,t,n);return a.#e=e.areContours,a.description=e.accessibilityData?.alt||"",a.#n=e.uuid,a}}class zye extends Fr{#e=null;#t=null;#r=null;#n=null;#i=null;#a="";#s=null;#o=!1;#l=null;#c=!1;#d=!1;static _type="stamp";static _editorType=Zr.STAMP;constructor(e){super({...e,name:"stampEditor"}),this.#n=e.bitmapUrl,this.#i=e.bitmapFile,this.defaultL10nId="pdfjs-editor-stamp-editor"}static initialize(e,t){Fr.initialize(e,t)}static isHandlingMimeForPasting(e){return nA.includes(e)}static paste(e,t){t.pasteEditor({mode:Zr.STAMP},{bitmapFile:e.getAsFile()})}altTextFinish(){this._uiManager.useNewAltTextFlow&&(this.div.hidden=!1),super.altTextFinish()}get telemetryFinalData(){return{type:"stamp",hasAltText:!!this.altTextData?.altText}}static computeTelemetryFinalData(e){const t=e.get("hasAltText");return{hasAltText:t.get(!0)??0,hasNoAltText:t.get(!1)??0}}#u(e,t=!1){if(!e){this.remove();return}this.#e=e.bitmap,t||(this.#t=e.id,this.#c=e.isSvg),e.file&&(this.#a=e.file.name),this.#f()}#p(){if(this.#r=null,this._uiManager.enableWaiting(!1),!!this.#s){if(this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#e){this.addEditToolbar().then(()=>{this._editToolbar.hide(),this._uiManager.editAltText(this,!0)});return}if(!this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#e){this._reportTelemetry({action:"pdfjs.image.image_added",data:{alt_text_modal:!1,alt_text_type:"empty"}});try{this.mlGuessAltText()}catch{}}this.div.focus()}}async mlGuessAltText(e=null,t=!0){if(this.hasAltTextData())return null;const{mlManager:n}=this._uiManager;if(!n)throw new Error("No ML.");if(!await n.isEnabledFor("altText"))throw new Error("ML isn't enabled for alt text.");const{data:a,width:i,height:s}=e||this.copyCanvas(null,null,!0).imageData,o=await n.guess({name:"altText",request:{data:a,width:i,height:s,channels:a.length/(i*s)}});if(!o)throw new Error("No response from the AI service.");if(o.error)throw new Error("Error from the AI service.");if(o.cancel)return null;if(!o.output)throw new Error("No valid response from the AI service.");const l=o.output;return await this.setGuessedAltText(l),t&&!this.hasAltTextData()&&(this.altTextData={alt:l,decorative:!1}),l}#m(){if(this.#t){this._uiManager.enableWaiting(!0),this._uiManager.imageManager.getFromId(this.#t).then(n=>this.#u(n,!0)).finally(()=>this.#p());return}if(this.#n){const n=this.#n;this.#n=null,this._uiManager.enableWaiting(!0),this.#r=this._uiManager.imageManager.getFromUrl(n).then(a=>this.#u(a)).finally(()=>this.#p());return}if(this.#i){const n=this.#i;this.#i=null,this._uiManager.enableWaiting(!0),this.#r=this._uiManager.imageManager.getFromFile(n).then(a=>this.#u(a)).finally(()=>this.#p());return}const e=document.createElement("input");e.type="file",e.accept=nA.join(",");const t=this._uiManager._signal;this.#r=new Promise(n=>{e.addEventListener("change",async()=>{if(!e.files||e.files.length===0)this.remove();else{this._uiManager.enableWaiting(!0);const a=await this._uiManager.imageManager.getFromFile(e.files[0]);this._reportTelemetry({action:"pdfjs.image.image_selected",data:{alt_text_modal:this._uiManager.useNewAltTextFlow}}),this.#u(a)}n()},{signal:t}),e.addEventListener("cancel",()=>{this.remove(),n()},{signal:t})}).finally(()=>this.#p()),e.click()}remove(){this.#t&&(this.#e=null,this._uiManager.imageManager.deleteId(this.#t),this.#s?.remove(),this.#s=null,this.#l&&(clearTimeout(this.#l),this.#l=null)),super.remove()}rebuild(){if(!this.parent){this.#t&&this.#m();return}super.rebuild(),this.div!==null&&(this.#t&&this.#s===null&&this.#m(),this.isAttachedToDOM||this.parent.add(this))}onceAdded(e){this._isDraggable=!0,e&&this.div.focus()}isEmpty(){return!(this.#r||this.#e||this.#n||this.#i||this.#t||this.#o)}get toolbarButtons(){return[["altText",this.createAltText()]]}get isResizable(){return!0}render(){if(this.div)return this.div;let e,t;return this._isCopy&&(e=this.x,t=this.y),super.render(),this.div.hidden=!0,this.createAltText(),this.#o||(this.#e?this.#f():this.#m()),this._isCopy&&this._moveAfterPaste(e,t),this._uiManager.addShouldRescale(this),this.div}setCanvas(e,t){const{id:n,bitmap:a}=this._uiManager.imageManager.getFromCanvas(e,t);t.remove(),n&&this._uiManager.imageManager.isValidId(n)&&(this.#t=n,a&&(this.#e=a),this.#o=!1,this.#f())}_onResized(){this.onScaleChanging()}onScaleChanging(){if(!this.parent)return;this.#l!==null&&clearTimeout(this.#l);const e=200;this.#l=setTimeout(()=>{this.#l=null,this.#g()},e)}#f(){const{div:e}=this;let{width:t,height:n}=this.#e;const[a,i]=this.pageDimensions,s=.75;if(this.width)t=this.width*a,n=this.height*i;else if(t>s*a||n>s*i){const u=Math.min(s*a/t,s*i/n);t*=u,n*=u}const[o,l]=this.parentDimensions;this.setDims(t*o/a,n*l/i),this._uiManager.enableWaiting(!1);const c=this.#s=document.createElement("canvas");c.setAttribute("role","img"),this.addContainer(c),this.width=t/a,this.height=n/i,this._initialOptions?.isCentered?this.center():this.fixAndSetPosition(),this._initialOptions=null,(!this._uiManager.useNewAltTextWhenAddingImage||!this._uiManager.useNewAltTextFlow||this.annotationElementId)&&(e.hidden=!1),this.#g(),this.#d||(this.parent.addUndoableEditor(this),this.#d=!0),this._reportTelemetry({action:"inserted_image"}),this.#a&&this.div.setAttribute("aria-description",this.#a),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-stamp-added-alert")}copyCanvas(e,t,n=!1){e||(e=224);const{width:a,height:i}=this.#e,s=new zl;let o=this.#e,l=a,c=i,u=null;if(t){if(a>t||i>t){const w=Math.min(t/a,t/i);l=Math.floor(a*w),c=Math.floor(i*w)}u=document.createElement("canvas");const h=u.width=Math.ceil(l*s.sx),p=u.height=Math.ceil(c*s.sy);this.#c||(o=this.#h(h,p));const m=u.getContext("2d");m.filter=this._uiManager.hcmFilter;let g="white",b="#cfcfd8";this._uiManager.hcmFilter!=="none"?b="black":window.matchMedia?.("(prefers-color-scheme: dark)").matches&&(g="#8f8f9d",b="#42414d");const _=15,v=_*s.sx,y=_*s.sy,E=new OffscreenCanvas(v*2,y*2),S=E.getContext("2d");S.fillStyle=g,S.fillRect(0,0,v*2,y*2),S.fillStyle=b,S.fillRect(0,0,v,y),S.fillRect(v,y,v,y),m.fillStyle=m.createPattern(E,"repeat"),m.fillRect(0,0,h,p),m.drawImage(o,0,0,o.width,o.height,0,0,h,p)}let d=null;if(n){let h,p;if(s.symmetric&&o.width<e&&o.height<e)h=o.width,p=o.height;else if(o=this.#e,a>e||i>e){const b=Math.min(e/a,e/i);h=Math.floor(a*b),p=Math.floor(i*b),this.#c||(o=this.#h(h,p))}const g=new OffscreenCanvas(h,p).getContext("2d",{willReadFrequently:!0});g.drawImage(o,0,0,o.width,o.height,0,0,h,p),d={width:h,height:p,data:g.getImageData(0,0,h,p).data}}return{canvas:u,width:l,height:c,imageData:d}}#h(e,t){const{width:n,height:a}=this.#e;let i=n,s=a,o=this.#e;for(;i>2*e||s>2*t;){const l=i,c=s;i>2*e&&(i=i>=16384?Math.floor(i/2)-1:Math.ceil(i/2)),s>2*t&&(s=s>=16384?Math.floor(s/2)-1:Math.ceil(s/2));const u=new OffscreenCanvas(i,s);u.getContext("2d").drawImage(o,0,0,l,c,0,0,i,s),o=u.transferToImageBitmap()}return o}#g(){const[e,t]=this.parentDimensions,{width:n,height:a}=this,i=new zl,s=Math.ceil(n*e*i.sx),o=Math.ceil(a*t*i.sy),l=this.#s;if(!l||l.width===s&&l.height===o)return;l.width=s,l.height=o;const c=this.#c?this.#e:this.#h(s,o),u=l.getContext("2d");u.filter=this._uiManager.hcmFilter,u.drawImage(c,0,0,c.width,c.height,0,0,s,o)}#v(e){if(e){if(this.#c){const a=this._uiManager.imageManager.getSvgUrl(this.#t);if(a)return a}const t=document.createElement("canvas");return{width:t.width,height:t.height}=this.#e,t.getContext("2d").drawImage(this.#e,0,0),t.toDataURL()}if(this.#c){const[t,n]=this.pageDimensions,a=Math.round(this.width*t*Uf.PDF_TO_CSS_UNITS),i=Math.round(this.height*n*Uf.PDF_TO_CSS_UNITS),s=new OffscreenCanvas(a,i);return s.getContext("2d").drawImage(this.#e,0,0,this.#e.width,this.#e.height,0,0,a,i),s.transferToImageBitmap()}return structuredClone(this.#e)}static async deserialize(e,t,n){let a=null,i=!1;if(e instanceof Lz){const{data:{rect:g,rotation:b,id:_,structParent:v,popupRef:y,contentsObj:E},container:S,parent:{page:{pageNumber:w}},canvas:C}=e;let x,N;C?(delete e.canvas,{id:x,bitmap:N}=n.imageManager.getFromCanvas(S.id,C),C.remove()):(i=!0,e._hasNoCanvas=!0);const I=(await t._structTree.getAriaAttributes(`${hx}${_}`))?.get("aria-label")||"";a=e={annotationType:Zr.STAMP,bitmapId:x,bitmap:N,pageIndex:w-1,rect:g.slice(0),rotation:b,annotationElementId:_,id:_,deleted:!1,accessibilityData:{decorative:!1,altText:I},isSvg:!1,structParent:v,popupRef:y,comment:E?.str||null}}const s=await super.deserialize(e,t,n),{rect:o,bitmap:l,bitmapUrl:c,bitmapId:u,isSvg:d,accessibilityData:h}=e;i?(n.addMissingCanvas(e.id,s),s.#o=!0):u&&n.imageManager.isValidId(u)?(s.#t=u,l&&(s.#e=l)):s.#n=c,s.#c=d;const[p,m]=s.pageDimensions;return s.width=(o[2]-o[0])/p,s.height=(o[3]-o[1])/m,h&&(s.altTextData=h),s._initialData=a,e.comment&&s.setCommentData(e.comment),s.#d=!!a,s}serialize(e=!1,t=null){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const n={annotationType:Zr.STAMP,bitmapId:this.#t,pageIndex:this.pageIndex,rect:this.getRect(0,0),rotation:this.rotation,isSvg:this.#c,structTreeParentId:this._structTreeParentId};if(this.addComment(n),e)return n.bitmapUrl=this.#v(!0),n.accessibilityData=this.serializeAltText(!0),n.isCopy=!0,n;const{decorative:a,altText:i}=this.serializeAltText(!1);if(!a&&i&&(n.accessibilityData={type:"Figure",alt:i}),this.annotationElementId){const o=this.#_(n);if(o.isSame)return null;o.isSameAltText?delete n.accessibilityData:n.accessibilityData.structParent=this._initialData.structParent??-1}if(n.id=this.annotationElementId,t===null)return n;t.stamps||=new Map;const s=this.#c?(n.rect[2]-n.rect[0])*(n.rect[3]-n.rect[1]):null;if(!t.stamps.has(this.#t))t.stamps.set(this.#t,{area:s,serialized:n}),n.bitmap=this.#v(!1);else if(this.#c){const o=t.stamps.get(this.#t);s>o.area&&(o.area=s,o.serialized.bitmap.close(),o.serialized.bitmap=this.#v(!1))}return n}#_(e){const{pageIndex:t,accessibilityData:{altText:n}}=this._initialData,a=e.pageIndex===t,i=(e.accessibilityData?.alt||"")===n;return{isSame:!this.hasEditedComment&&!this._hasBeenMoved&&!this._hasBeenResized&&a&&i,isSameAltText:i}}renderAnnotationElement(e){const t={rect:this.getRect(0,0)};return this.hasEditedComment&&(t.popup=this.comment),e.updateEdited(t),null}}class mc{#e;#t=!1;#r=null;#n=null;#i=null;#a=new Map;#s=!1;#o=!1;#l=!1;#c=null;#d=null;#u=null;#p=null;#m=null;#f=-1;#h;static _initialized=!1;static#g=new Map([ri,Ax,zye,La,yl].map(e=>[e._editorType,e]));constructor({uiManager:e,pageIndex:t,div:n,structTreeLayer:a,accessibilityManager:i,annotationLayer:s,drawLayer:o,textLayer:l,viewport:c,l10n:u}){const d=[...mc.#g.values()];if(!mc._initialized){mc._initialized=!0;for(const h of d)h.initialize(u,e)}e.registerEditorTypes(d),this.#h=e,this.pageIndex=t,this.div=n,this.#e=i,this.#r=s,this.viewport=c,this.#u=l,this.drawLayer=o,this._structTree=a,this.#h.addLayer(this)}get isEmpty(){return this.#a.size===0}get isInvisible(){return this.isEmpty&&this.#h.getMode()===Zr.NONE}updateToolbar(e){this.#h.updateToolbar(e)}updateMode(e=this.#h.getMode()){switch(this.#b(),e){case Zr.NONE:this.disableTextSelection(),this.togglePointerEvents(!1),this.toggleAnnotationLayerPointerEvents(!0),this.disableClick();return;case Zr.INK:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick();break;case Zr.HIGHLIGHT:this.enableTextSelection(),this.togglePointerEvents(!1),this.disableClick();break;default:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick()}this.toggleAnnotationLayerPointerEvents(!1);const{classList:t}=this.div;for(const n of mc.#g.values())t.toggle(`${n._type}Editing`,e===n._editorType);this.div.hidden=!1}hasTextLayer(e){return e===this.#u?.div}setEditingState(e){this.#h.setEditingState(e)}addCommands(e){this.#h.addCommands(e)}cleanUndoStack(e){this.#h.cleanUndoStack(e)}toggleDrawing(e=!1){this.div.classList.toggle("drawing",!e)}togglePointerEvents(e=!1){this.div.classList.toggle("disabled",!e)}toggleAnnotationLayerPointerEvents(e=!1){this.#r?.div.classList.toggle("disabled",!e)}async enable(){this.#l=!0,this.div.tabIndex=0,this.togglePointerEvents(!0),this.#m?.abort(),this.#m=null;const e=new Set;for(const n of this.#a.values())n.enableEditing(),n.show(!0),n.annotationElementId&&(this.#h.removeChangedExistingAnnotation(n),e.add(n.annotationElementId));if(!this.#r){this.#l=!1;return}const t=this.#r.getEditableAnnotations();for(const n of t){if(n.hide(),this.#h.isDeletedAnnotationElement(n.data.id)||e.has(n.data.id))continue;const a=await this.deserialize(n);a&&(this.addOrRebuild(a),a.enableEditing())}this.#l=!1}disable(){if(this.#o=!0,this.div.tabIndex=-1,this.togglePointerEvents(!1),this.#u&&!this.#m){this.#m=new AbortController;const a=this.#h.combinedSignal(this.#m);this.#u.div.addEventListener("pointerdown",i=>{const{clientX:o,clientY:l,timeStamp:c}=i,u=this.#f;if(c-u>500){this.#f=c;return}this.#f=-1;const{classList:d}=this.div;d.toggle("getElements",!0);const h=document.elementsFromPoint(o,l);if(d.toggle("getElements",!1),!this.div.contains(h[0]))return;let p;const m=new RegExp(`^${oz}[0-9]+$`);for(const b of h)if(m.test(b.id)){p=b.id;break}if(!p)return;const g=this.#a.get(p);g?.annotationElementId===null&&(i.stopPropagation(),i.preventDefault(),g.dblclick())},{signal:a,capture:!0})}const e=new Map,t=new Map;for(const a of this.#a.values())if(a.disableEditing(),!!a.annotationElementId){if(a.serialize()!==null){e.set(a.annotationElementId,a);continue}else t.set(a.annotationElementId,a);this.getEditableAnnotation(a.annotationElementId)?.show(),a.remove()}if(this.#r){const a=this.#r.getEditableAnnotations();for(const i of a){const{id:s}=i.data;if(this.#h.isDeletedAnnotationElement(s)){i.updateEdited({deleted:!0});continue}let o=t.get(s);if(o){o.resetAnnotationElement(i),o.show(!1),i.show();continue}o=e.get(s),o&&(this.#h.addChangedExistingAnnotation(o),o.renderAnnotationElement(i)&&o.show(!1)),i.show()}}this.#b(),this.isEmpty&&(this.div.hidden=!0);const{classList:n}=this.div;for(const a of mc.#g.values())n.remove(`${a._type}Editing`);this.disableTextSelection(),this.toggleAnnotationLayerPointerEvents(!0),this.#o=!1}getEditableAnnotation(e){return this.#r?.getEditableAnnotation(e)||null}setActiveEditor(e){this.#h.getActive()!==e&&this.#h.setActiveEditor(e)}enableTextSelection(){if(this.div.tabIndex=-1,this.#u?.div&&!this.#p){this.#p=new AbortController;const e=this.#h.combinedSignal(this.#p);this.#u.div.addEventListener("pointerdown",this.#v.bind(this),{signal:e}),this.#u.div.classList.add("highlighting")}}disableTextSelection(){this.div.tabIndex=0,this.#u?.div&&this.#p&&(this.#p.abort(),this.#p=null,this.#u.div.classList.remove("highlighting"))}#v(e){this.#h.unselectAll();const{target:t}=e;if(t===this.#u.div||(t.getAttribute("role")==="img"||t.classList.contains("endOfContent"))&&this.#u.div.contains(t)){const{isMac:n}=Mi.platform;if(e.button!==0||e.ctrlKey&&n)return;this.#h.showAllEditors("highlight",!0,!0),this.#u.div.classList.add("free"),this.toggleDrawing(),La.startHighlighting(this,this.#h.direction==="ltr",{target:this.#u.div,x:e.x,y:e.y}),this.#u.div.addEventListener("pointerup",()=>{this.#u.div.classList.remove("free"),this.toggleDrawing(!0)},{once:!0,signal:this.#h._signal}),e.preventDefault()}}enableClick(){if(this.#n)return;this.#n=new AbortController;const e=this.#h.combinedSignal(this.#n);this.div.addEventListener("pointerdown",this.pointerdown.bind(this),{signal:e});const t=this.pointerup.bind(this);this.div.addEventListener("pointerup",t,{signal:e}),this.div.addEventListener("pointercancel",t,{signal:e})}disableClick(){this.#n?.abort(),this.#n=null}attach(e){this.#a.set(e.id,e);const{annotationElementId:t}=e;t&&this.#h.isDeletedAnnotationElement(t)&&this.#h.removeDeletedAnnotationElement(e)}detach(e){this.#a.delete(e.id),this.#e?.removePointerInTextLayer(e.contentDiv),!this.#o&&e.annotationElementId&&this.#h.addDeletedAnnotationElement(e)}remove(e){this.detach(e),this.#h.removeEditor(e),e.div.remove(),e.isAttachedToDOM=!1}changeParent(e){e.parent!==this&&(e.parent&&e.annotationElementId&&(this.#h.addDeletedAnnotationElement(e.annotationElementId),Fr.deleteAnnotationElement(e),e.annotationElementId=null),this.attach(e),e.parent?.detach(e),e.setParent(this),e.div&&e.isAttachedToDOM&&(e.div.remove(),this.div.append(e.div)))}add(e){if(!(e.parent===this&&e.isAttachedToDOM)){if(this.changeParent(e),this.#h.addEditor(e),this.attach(e),!e.isAttachedToDOM){const t=e.render();this.div.append(t),e.isAttachedToDOM=!0}e.fixAndSetPosition(),e.onceAdded(!this.#l),this.#h.addToAnnotationStorage(e),e._reportTelemetry(e.telemetryInitialData)}}moveEditorInDOM(e){if(!e.isAttachedToDOM)return;const{activeElement:t}=document;e.div.contains(t)&&!this.#i&&(e._focusEventsAllowed=!1,this.#i=setTimeout(()=>{this.#i=null,e.div.contains(document.activeElement)?e._focusEventsAllowed=!0:(e.div.addEventListener("focusin",()=>{e._focusEventsAllowed=!0},{once:!0,signal:this.#h._signal}),t.focus())},0)),e._structTreeParentId=this.#e?.moveElementInDOM(this.div,e.div,e.contentDiv,!0)}addOrRebuild(e){e.needsToBeRebuilt()?(e.parent||=this,e.rebuild(),e.show()):this.add(e)}addUndoableEditor(e){const t=()=>e._uiManager.rebuild(e),n=()=>{e.remove()};this.addCommands({cmd:t,undo:n,mustExec:!1})}getNextId(){return this.#h.getId()}get#_(){return mc.#g.get(this.#h.getMode())}combinedSignal(e){return this.#h.combinedSignal(e)}#y(e){const t=this.#_;return t?new t.prototype.constructor(e):null}canCreateNewEmptyEditor(){return this.#_?.canCreateNewEmptyEditor()}async pasteEditor(e,t){this.updateToolbar(e),await this.#h.updateMode(e.mode);const{offsetX:n,offsetY:a}=this.#S(),i=this.getNextId(),s=this.#y({parent:this,id:i,x:n,y:a,uiManager:this.#h,isCentered:!0,...t});s&&this.add(s)}async deserialize(e){return await mc.#g.get(e.annotationType??e.annotationEditorType)?.deserialize(e,this,this.#h)||null}createAndAddNewEditor(e,t,n={}){const a=this.getNextId(),i=this.#y({parent:this,id:a,x:e.offsetX,y:e.offsetY,uiManager:this.#h,isCentered:t,...n});return i&&this.add(i),i}#S(){const{x:e,y:t,width:n,height:a}=this.div.getBoundingClientRect(),i=Math.max(0,e),s=Math.max(0,t),o=Math.min(window.innerWidth,e+n),l=Math.min(window.innerHeight,t+a),c=(i+o)/2-e,u=(s+l)/2-t,[d,h]=this.viewport.rotation%180===0?[c,u]:[u,c];return{offsetX:d,offsetY:h}}addNewEditor(e={}){this.createAndAddNewEditor(this.#S(),!0,e)}setSelected(e){this.#h.setSelected(e)}toggleSelected(e){this.#h.toggleSelected(e)}unselect(e){this.#h.unselect(e)}pointerup(e){const{isMac:t}=Mi.platform;if(e.button!==0||e.ctrlKey&&t||e.target!==this.div||!this.#s||(this.#s=!1,this.#_?.isDrawer&&this.#_.supportMultipleDrawings))return;if(!this.#t){this.#t=!0;return}const n=this.#h.getMode();if(n===Zr.STAMP||n===Zr.SIGNATURE){this.#h.unselectAll();return}this.createAndAddNewEditor(e,!1)}pointerdown(e){if(this.#h.getMode()===Zr.HIGHLIGHT&&this.enableTextSelection(),this.#s){this.#s=!1;return}const{isMac:t}=Mi.platform;if(e.button!==0||e.ctrlKey&&t||e.target!==this.div)return;if(this.#s=!0,this.#_?.isDrawer){this.startDrawingSession(e);return}const n=this.#h.getActive();this.#t=!n||n.isEmpty()}startDrawingSession(e){if(this.div.focus({preventScroll:!0}),this.#c){this.#_.startDrawing(this,this.#h,!1,e);return}this.#h.setCurrentDrawingSession(this),this.#c=new AbortController;const t=this.#h.combinedSignal(this.#c);this.div.addEventListener("blur",({relatedTarget:n})=>{n&&!this.div.contains(n)&&(this.#d=null,this.commitOrRemove())},{signal:t}),this.#_.startDrawing(this,this.#h,!1,e)}pause(e){if(e){const{activeElement:t}=document;this.div.contains(t)&&(this.#d=t);return}this.#d&&setTimeout(()=>{this.#d?.focus(),this.#d=null},0)}endDrawingSession(e=!1){return this.#c?(this.#h.setCurrentDrawingSession(null),this.#c.abort(),this.#c=null,this.#d=null,this.#_.endDrawing(e)):null}findNewParent(e,t,n){const a=this.#h.findParent(t,n);return a===null||a===this?!1:(a.changeParent(e),!0)}commitOrRemove(){return this.#c?(this.endDrawingSession(),!0):!1}onScaleChanging(){this.#c&&this.#_.onScaleChangingWhenDrawing(this)}destroy(){this.commitOrRemove(),this.#h.getActive()?.parent===this&&(this.#h.commitOrRemove(),this.#h.setActiveEditor(null)),this.#i&&(clearTimeout(this.#i),this.#i=null);for(const e of this.#a.values())this.#e?.removePointerInTextLayer(e.contentDiv),e.setParent(null),e.isAttachedToDOM=!1,e.div.remove();this.div=null,this.#a.clear(),this.#h.removeLayer(this)}#b(){for(const e of this.#a.values())e.isEmpty()&&e.remove()}render({viewport:e}){this.viewport=e,Zd(this.div,e);for(const t of this.#h.getEditors(this.pageIndex))this.add(t),t.rebuild();this.updateMode()}update({viewport:e}){this.#h.commitOrRemove(),this.#b();const t=this.viewport.rotation,n=e.rotation;if(this.viewport=e,Zd(this.div,{rotation:n}),t!==n)for(const a of this.#a.values())a.rotate(n)}get pageDimensions(){const{pageWidth:e,pageHeight:t}=this.viewport.rawDims;return[e,t]}get scale(){return this.#h.viewParameters.realScale}}class Ci{#e=null;#t=new Map;#r=new Map;static#n=0;constructor({pageIndex:e}){this.pageIndex=e}setParent(e){if(!this.#e){this.#e=e;return}if(this.#e!==e){if(this.#t.size>0)for(const t of this.#t.values())t.remove(),e.append(t);this.#e=e}}static get _svgFactory(){return bn(this,"_svgFactory",new Db)}static#i(e,[t,n,a,i]){const{style:s}=e;s.top=`${100*n}%`,s.left=`${100*t}%`,s.width=`${100*a}%`,s.height=`${100*i}%`}#a(){const e=Ci._svgFactory.create(1,1,!0);return this.#e.append(e),e.setAttribute("aria-hidden",!0),e}#s(e,t){const n=Ci._svgFactory.createElement("clipPath");e.append(n);const a=`clip_${t}`;n.setAttribute("id",a),n.setAttribute("clipPathUnits","objectBoundingBox");const i=Ci._svgFactory.createElement("use");return n.append(i),i.setAttribute("href",`#${t}`),i.classList.add("clip"),a}#o(e,t){for(const[n,a]of Object.entries(t))a===null?e.removeAttribute(n):e.setAttribute(n,a)}draw(e,t=!1,n=!1){const a=Ci.#n++,i=this.#a(),s=Ci._svgFactory.createElement("defs");i.append(s);const o=Ci._svgFactory.createElement("path");s.append(o);const l=`path_p${this.pageIndex}_${a}`;o.setAttribute("id",l),o.setAttribute("vector-effect","non-scaling-stroke"),t&&this.#r.set(a,o);const c=n?this.#s(s,l):null,u=Ci._svgFactory.createElement("use");return i.append(u),u.setAttribute("href",`#${l}`),this.updateProperties(i,e),this.#t.set(a,i),{id:a,clipPathId:`url(#${c})`}}drawOutline(e,t){const n=Ci.#n++,a=this.#a(),i=Ci._svgFactory.createElement("defs");a.append(i);const s=Ci._svgFactory.createElement("path");i.append(s);const o=`path_p${this.pageIndex}_${n}`;s.setAttribute("id",o),s.setAttribute("vector-effect","non-scaling-stroke");let l;if(t){const d=Ci._svgFactory.createElement("mask");i.append(d),l=`mask_p${this.pageIndex}_${n}`,d.setAttribute("id",l),d.setAttribute("maskUnits","objectBoundingBox");const h=Ci._svgFactory.createElement("rect");d.append(h),h.setAttribute("width","1"),h.setAttribute("height","1"),h.setAttribute("fill","white");const p=Ci._svgFactory.createElement("use");d.append(p),p.setAttribute("href",`#${o}`),p.setAttribute("stroke","none"),p.setAttribute("fill","black"),p.setAttribute("fill-rule","nonzero"),p.classList.add("mask")}const c=Ci._svgFactory.createElement("use");a.append(c),c.setAttribute("href",`#${o}`),l&&c.setAttribute("mask",`url(#${l})`);const u=c.cloneNode();return a.append(u),c.classList.add("mainOutline"),u.classList.add("secondaryOutline"),this.updateProperties(a,e),this.#t.set(n,a),n}finalizeDraw(e,t){this.#r.delete(e),this.updateProperties(e,t)}updateProperties(e,t){if(!t)return;const{root:n,bbox:a,rootClass:i,path:s}=t,o=typeof e=="number"?this.#t.get(e):e;if(o){if(n&&this.#o(o,n),a&&Ci.#i(o,a),i){const{classList:l}=o;for(const[c,u]of Object.entries(i))l.toggle(c,u)}if(s){const c=o.firstChild.firstChild;this.#o(c,s)}}}updateParent(e,t){if(t===this)return;const n=this.#t.get(e);n&&(t.#e.append(n),this.#t.delete(e),t.#t.set(e,n))}remove(e){this.#r.delete(e),this.#e!==null&&(this.#t.get(e).remove(),this.#t.delete(e))}destroy(){this.#e=null;for(const e of this.#t.values())e.remove();this.#t.clear(),this.#r.clear()}}globalThis._pdfjsTestingUtils={HighlightOutliner:lA};globalThis.pdfjsLib={AbortException:Fu,AnnotationEditorLayer:mc,AnnotationEditorParamsType:Mn,AnnotationEditorType:Zr,AnnotationEditorUIManager:Bu,AnnotationLayer:Cx,AnnotationMode:yu,AnnotationType:Ha,build:vye,ColorPicker:Eo,createValidAbsoluteUrl:lz,DOMSVGFactory:Db,DrawLayer:Ci,FeatureTest:Mi,fetchData:Eg,getDocument:Sx,getFilenameFromUrl:dve,getPdfFilenameFromUrl:hve,getRGB:dy,getUuid:dz,getXfaPageViewport:pve,GlobalWorkerOptions:mf,ImageKind:A_,InvalidPDFException:tA,isDataScheme:uy,isPdfFile:px,isValidExplicitDest:Cve,MathClamp:ts,noContextMenu:ko,normalizeUnicode:lve,OPS:kb,OutputScale:zl,PasswordResponses:Jbe,PDFDataRangeTransport:Rz,PDFDateString:rA,PDFWorker:Pm,PermissionFlag:Zbe,PixelsPerInch:Uf,RenderingCancelledException:fx,ResponseException:Mb,setLayerDimensions:Zd,shadow:bn,SignatureExtractor:qh,stopEvent:ja,SupportedImageMimeTypes:nA,TextLayer:Ji,TouchManager:hy,updateUrlHash:cz,Util:Dr,VerbosityLevel:oy,version:bye,XfaLayer:Iz};Gp(()=>Promise.resolve().then(()=>DBe),[],import.meta.url).then(r=>{const e=new Blob([r.default],{type:"application/javascript"});mf.workerSrc=URL.createObjectURL(e)}).catch(()=>{console.warn("Failed to load PDF.js worker, PDF processing may not work")});async function Uz(r){return new Promise((e,t)=>{const n=new FileReader;n.onload=a=>{a.target?.result?e(a.target.result):t(new Error("Failed to read file."))},n.onerror=()=>{t(new Error("Failed to read file."))},n.readAsArrayBuffer(r)})}async function dA(r){try{const e=await Uz(r),t=await Sx(e).promise,n=t.numPages,a=[];for(let o=1;o<=n;o++)a.push(t.getPage(o).then(l=>l.getTextContent()));return(await Promise.all(a)).flatMap(o=>o.items.map(l=>l.str??"")).join(`
-`)}catch(e){throw console.error("Error converting PDF to text:",e),new Error(`Failed to convert PDF to text: ${e instanceof Error?e.message:"Unknown error"}`)}}async function $z(r,e=1.5){try{const t=await Uz(r),n=await Sx(t).promise,a=[];for(let i=1;i<=n.numPages;i++){const s=await n.getPage(i),o=s.getViewport({scale:e}),l=document.createElement("canvas"),c=l.getContext("2d");if(l.width=o.width,l.height=o.height,!c)throw new Error("Failed to get 2D context from canvas");const u=s.render({canvasContext:c,viewport:o,canvas:l});a.push(u.promise.then(()=>l.toDataURL(ea.PNG)))}return await Promise.all(a)}catch(t){throw console.error("Error converting PDF to images:",t),new Error(`Failed to convert PDF to images: ${t instanceof Error?t.message:"Unknown error"}`)}}function Gz(r,e="white"){return new Promise((t,n)=>{try{const a=new Image;a.onload=()=>{const i=document.createElement("canvas"),s=i.getContext("2d");if(!s){n(new Error("Failed to get 2D canvas context."));return}const o=a.naturalWidth||300,l=a.naturalHeight||300;i.width=o,i.height=l,e&&(s.fillStyle=e,s.fillRect(0,0,i.width,i.height)),s.drawImage(a,0,0,o,l),t(i.toDataURL(ea.PNG))},a.onerror=()=>{n(new Error("Failed to load SVG image. Ensure the SVG data is valid."))},a.src=r}catch(a){const s=`Error converting SVG to PNG: ${a instanceof Error?a.message:String(a)}`;console.error(s,a),n(new Error(s))}})}function zz(r){return r===ea.SVG}function qz(r,e="white"){return new Promise((t,n)=>{try{const a=new Image;a.onload=()=>{const i=document.createElement("canvas"),s=i.getContext("2d");if(!s){n(new Error("Failed to get 2D canvas context."));return}const o=a.naturalWidth||300,l=a.naturalHeight||300;i.width=o,i.height=l,e&&(s.fillStyle=e,s.fillRect(0,0,i.width,i.height)),s.drawImage(a,0,0,o,l),t(i.toDataURL(ea.PNG))},a.onerror=()=>{n(new Error("Failed to load WebP image. Ensure the WebP data is valid."))},a.src=r}catch(a){const s=`Error converting WebP to PNG: ${a instanceof Error?a.message:String(a)}`;console.error(s,a),n(new Error(s))}})}function Hz(r){return r===ea.WEBP}class rs{static async sendMessage(e,t={},n,a){const{stream:i,onChunk:s,onComplete:o,onError:l,onReasoningChunk:c,onToolCallChunk:u,onModel:d,onTimings:h,tools:p,temperature:m,max_tokens:g,dynatemp_range:b,dynatemp_exponent:_,top_k:v,top_p:y,min_p:E,xtc_probability:S,xtc_threshold:w,typ_p:C,repeat_last_n:x,repeat_penalty:N,presence_penalty:I,frequency_penalty:D,dry_multiplier:V,dry_base:q,dry_allowed_length:$,dry_penalty_last_n:K,samplers:z,backend_sampling:re,custom:W,timings_per_token:ie,disableReasoningParsing:k,excludeReasoningFromContext:B}=t,te=e.map(R=>{if("id"in R&&"convId"in R&&"timestamp"in R){const U=R;return rs.convertDbMessageToApiChatMessageData(U)}else return R}).filter(R=>R.role===Jt.SYSTEM?(typeof R.content=="string"?R.content:"").trim().length>0:!0);t.model&&!rr.modelSupportsVision(t.model)&&te.forEach(R=>{Array.isArray(R.content)&&(R.content=R.content.filter(U=>U.type===Zi.IMAGE_URL?(console.info(`[ChatService] Skipping image attachment in message history (model "${t.model}" does not support vision)`),!1):!0),R.content.length===1&&R.content[0].type===Zi.TEXT&&(R.content=R.content[0].text))});const O={messages:te.map(R=>{const U={role:R.role,content:R.content,tool_calls:R.tool_calls,tool_call_id:R.tool_call_id};return!B&&R.reasoning_content&&(U.reasoning_content=R.reasoning_content),U}),stream:i,return_progress:i?!0:void 0,tools:p&&p.length>0?p:void 0};if(t.model&&(O.model=t.model),O.reasoning_format=k?c3.NONE:c3.AUTO,m!==void 0&&(O.temperature=m),g!==void 0&&(O.max_tokens=g!==null&&g!==0?g:-1),b!==void 0&&(O.dynatemp_range=b),_!==void 0&&(O.dynatemp_exponent=_),v!==void 0&&(O.top_k=v),y!==void 0&&(O.top_p=y),E!==void 0&&(O.min_p=E),S!==void 0&&(O.xtc_probability=S),w!==void 0&&(O.xtc_threshold=w),C!==void 0&&(O.typ_p=C),x!==void 0&&(O.repeat_last_n=x),N!==void 0&&(O.repeat_penalty=N),I!==void 0&&(O.presence_penalty=I),D!==void 0&&(O.frequency_penalty=D),V!==void 0&&(O.dry_multiplier=V),q!==void 0&&(O.dry_base=q),$!==void 0&&(O.dry_allowed_length=$),K!==void 0&&(O.dry_penalty_last_n=K),z!==void 0&&(O.samplers=typeof z=="string"?z.split(";").filter(R=>R.trim()):z),re!==void 0&&(O.backend_sampling=re),ie!==void 0&&(O.timings_per_token=ie),W)try{const R=typeof W=="string"?JSON.parse(W):W;Object.assign(O,R)}catch(R){console.warn("Failed to parse custom parameters:",R)}try{const R=await fetch("./v1/chat/completions",{method:"POST",headers:A4(),body:JSON.stringify(O),signal:a});if(!R.ok){const U=await rs.parseErrorResponse(R);throw l&&l(U),U}if(i){await rs.handleStreamResponse(R,s,o,l,c,u,d,h,n,a);return}else return rs.handleNonStreamResponse(R,o,l,u,d)}catch(R){if(El(R)){console.log("Chat completion request was aborted");return}let U;throw R instanceof Error?R.name==="TypeError"&&R.message.includes("fetch")?(U=new Error("Unable to connect to server - please check if the server is running"),U.name="NetworkError"):R.message.includes("ECONNREFUSED")?(U=new Error("Connection refused - server may be offline"),U.name="NetworkError"):R.message.includes("ETIMEDOUT")?(U=new Error("Request timed out - the server took too long to respond"),U.name="TimeoutError"):U=R:U=new Error("Unknown error occurred while sending message"),console.error("Error in sendMessage:",R),l&&l(U),U}}static async handleStreamResponse(e,t,n,a,i,s,o,l,c,u){const d=e.body?.getReader();if(!d)throw new Error("No response body");const h=new TextDecoder;let p="",m="",g=[],b,_=!1,v=!1,y=0,E=!1;const S=()=>{E&&(y=g.length,E=!1)},w=C=>{if(!C||C.length===0||(g=rs.mergeToolCallDeltas(g,C,y),g.length===0))return;E=!0;const x=JSON.stringify(g);x&&(u?.aborted||s?.(x))};try{let C="";for(;!u?.aborted;){const{done:x,value:N}=await d.read();if(x||u?.aborted)break;C+=h.decode(N,{stream:!0});const I=C.split(`
-`);C=I.pop()||"";for(const D of I){if(u?.aborted)break;if(D.startsWith(lo.DATA)){const V=D.slice(6);if(V==="[DONE]"){_=!0;continue}try{const q=JSON.parse(V),$=q.choices[0]?.delta?.content,K=q.choices[0]?.delta?.reasoning_content,z=q.choices[0]?.delta?.tool_calls,re=q.timings,W=q.prompt_progress,ie=rs.extractModelName(q);ie&&!v&&(v=!0,o?.(ie)),W&&rs.notifyTimings(void 0,W,l),re&&(rs.notifyTimings(re,W,l),b=re),$&&(S(),p+=$,u?.aborted||t?.($)),K&&(S(),m+=K,u?.aborted||i?.(K)),w(z)}catch(q){console.error("Error parsing JSON chunk:",q)}}}if(u?.aborted)break}if(u?.aborted)return;if(_){S();const x=g.length>0?JSON.stringify(g):void 0;n?.(p,m||void 0,b,x)}}catch(C){const x=C instanceof Error?C:new Error("Stream error");throw a?.(x),x}finally{d.releaseLock()}}static async handleNonStreamResponse(e,t,n,a,i){try{const s=await e.text();if(!s.trim())throw new Error("No response received from server. Please try again.");const o=JSON.parse(s),l=rs.extractModelName(o);l&&i?.(l);const c=o.choices[0]?.message?.content||"",u=o.choices[0]?.message?.reasoning_content,d=o.choices[0]?.message?.tool_calls;let h;if(d&&d.length>0){const p=rs.mergeToolCallDeltas([],d);p.length>0&&(h=JSON.stringify(p),h&&a?.(h))}if(!c.trim()&&!h)throw new Error("No response received from server. Please try again.");return t?.(c,u,void 0,h),c}catch(s){const o=s instanceof Error?s:new Error("Parse error");throw n?.(o),o}}static mergeToolCallDeltas(e,t,n=0){const a=e.map(i=>({...i,function:i.function?{...i.function}:void 0}));for(const i of t){const s=typeof i.index=="number"&&i.index>=0?i.index+n:a.length;for(;a.length<=s;)a.push({function:void 0});const o=a[s];if(i.id&&(o.id=i.id),i.type&&(o.type=i.type),i.function){const l=o.function?{...o.function}:{};i.function.name&&(l.name=i.function.name),i.function.arguments&&(l.arguments=(l.arguments??"")+i.function.arguments),o.function=l}}return a}static convertDbMessageToApiChatMessageData(e){if(e.role===Jt.TOOL&&e.toolCallId)return{role:Jt.TOOL,content:e.content,tool_call_id:e.toolCallId};let t;if(e.toolCalls)try{t=JSON.parse(e.toolCalls)}catch{}if(!e.extra||e.extra.length===0){const h={role:e.role,content:e.content};return e.reasoningContent&&(h.reasoning_content=e.reasoningContent),t&&t.length>0&&(h.tool_calls=t),h}const n=[];e.content&&n.push({type:Zi.TEXT,text:e.content});const a=e.extra.filter(h=>h.type===Kr.IMAGE);for(const h of a)n.push({type:Zi.IMAGE_URL,image_url:{url:h.base64Url}});const i=e.extra.filter(h=>h.type===Kr.TEXT);for(const h of i)n.push({type:Zi.TEXT,text:Tp("File",h.name,h.content)});const s=e.extra.filter(h=>h.type===Kr.LEGACY_CONTEXT);for(const h of s)n.push({type:Zi.TEXT,text:Tp("File",h.name,h.content)});const o=e.extra.filter(h=>h.type===Kr.AUDIO);for(const h of o)n.push({type:Zi.INPUT_AUDIO,input_audio:{data:h.base64Data,format:h.mimeType.includes("wav")?"wav":"mp3"}});const l=e.extra.filter(h=>h.type===Kr.PDF);for(const h of l)if(h.processedAsImages&&h.images)for(let p=0;p<h.images.length;p++)n.push({type:Zi.IMAGE_URL,image_url:{url:h.images[p]}});else n.push({type:Zi.TEXT,text:Tp(Mre,h.name,h.content)});const c=e.extra.filter(h=>h.type===Kr.MCP_PROMPT);for(const h of c)n.push({type:Zi.TEXT,text:Tp(Dre,h.name,h.content,h.serverName)});const u=e.extra.filter(h=>h.type===Kr.MCP_RESOURCE);for(const h of u)n.push({type:Zi.TEXT,text:Tp(Pre,h.name,h.content,h.serverName)});const d={role:e.role,content:n};return e.reasoningContent&&(d.reasoning_content=e.reasoningContent),t&&t.length>0&&(d.tool_calls=t),d}static async parseErrorResponse(e){try{const t=await e.text(),n=JSON.parse(t),a=n.error?.message||"Unknown server error",i=new Error(a);return i.name=e.status===400?"ServerError":"HttpError",n.error&&"n_prompt_tokens"in n.error&&"n_ctx"in n.error&&(i.contextInfo={n_prompt_tokens:n.error.n_prompt_tokens,n_ctx:n.error.n_ctx}),i}catch{const t=new Error(`Server error (${e.status}): ${e.statusText}`);return t.name="HttpError",t}}static extractModelName(e){const t=c=>typeof c=="object"&&c!==null?c:void 0,n=c=>typeof c=="string"&&c.trim()?c.trim():void 0,a=t(e);if(!a)return;const i=n(a.model);if(i)return i;const s=Array.isArray(a.choices)?t(a.choices[0]):void 0;if(!s)return;const o=n(t(s.delta)?.model);if(o)return o;const l=n(t(s.message)?.model);if(l)return l}static notifyTimings(e,t,n){!n||!e&&!t||n(e,t)}}class Hh{static async list(){return p3(o0.LIST)}static async listRouter(){return p3(o0.LIST)}static async load(e,t){const n={model:e};return t&&t.length>0&&(n.extra_args=t),EO(o0.LOAD,n)}static async unload(e){return EO(o0.UNLOAD,{model:e})}static isModelLoaded(e){return e.status.value===mi.LOADED}static isModelLoading(e){return e.status.value===mi.LOADING}static parseModelId(e){const t={raw:e,orgName:null,modelName:null,params:null,activatedParams:null,quantization:null,tags:[]},n=e.indexOf(lae);let a;n!==rc?(t.quantization=e.slice(n+1)||null,a=e.slice(0,n)):a=e;const i=a.indexOf(oae);let s;i!==rc?(t.orgName=a.slice(0,i),s=a.slice(i+1)):s=a;const o=s.lastIndexOf(".");if(o!==rc&&!t.quantization){const h=s.slice(o+1);bO.test(h)&&(t.quantization=h,s=s.slice(0,o))}const l=s.split(_O);if(!t.quantization&&l.length>1){const h=l[l.length-1],p=l.length>2?l[l.length-2]:null;bO.test(h)&&(p&&cae.test(p)?(t.quantization=`${p}-${h}`,l.splice(l.length-2,2)):(t.quantization=h,l.pop()))}let c=rc,u=rc;for(let h=0;h<l.length;h++){const p=l[h];c===rc&&uae.test(p)?(c=h,t.params=p.toUpperCase()):c!==rc&&dae.test(p)&&(u=h,t.activatedParams=p.toUpperCase())}const d=c!==rc?c:l.length;return t.modelName=l.slice(0,d).join(_O)||null,c!==rc&&(t.tags=l.slice(c+1).filter((h,p)=>{const m=c+1+p;return m===u?!1:!hae.has(l[m].toUpperCase())})),t}}class Ox{#e=_e(Sr([]));get models(){return f(this.#e)}set models(e){M(this.#e,e,!0)}#t=_e(Sr([]));get routerModels(){return f(this.#t)}set routerModels(e){M(this.#t,e,!0)}#r=_e(!1);get loading(){return f(this.#r)}set loading(e){M(this.#r,e,!0)}#n=_e(!1);get updating(){return f(this.#n)}set updating(e){M(this.#n,e,!0)}#i=_e(null);get error(){return f(this.#i)}set error(e){M(this.#i,e,!0)}#a=_e(null);get selectedModelId(){return f(this.#a)}set selectedModelId(e){M(this.#a,e,!0)}#s=_e(null);get selectedModelName(){return f(this.#s)}set selectedModelName(e){M(this.#s,e,!0)}#o=_e(Sr(new Map));get modelUsage(){return f(this.#o)}set modelUsage(e){M(this.#o,e,!0)}modelLoadingStates=new Oi;#l=_e(Sr(this.loadFavoritesFromStorage()));get favoriteModelIds(){return f(this.#l)}set favoriteModelIds(e){M(this.#l,e,!0)}modelPropsCache=new Zce({ttlMs:Ure,maxEntries:$re});#c=_e(Sr(new Set));get modelPropsFetching(){return f(this.#c)}set modelPropsFetching(e){M(this.#c,e,!0)}#d=_e(0);get propsCacheVersion(){return f(this.#d)}set propsCacheVersion(e){M(this.#d,e,!0)}get selectedModel(){return this.selectedModelId?this.models.find(e=>e.id===this.selectedModelId)??null:null}get loadedModelIds(){return this.routerModels.filter(e=>e.status.value===mi.LOADED||e.status.value===mi.SLEEPING).map(e=>e.id)}get loadingModelIds(){return Array.from(this.modelLoadingStates.entries()).filter(([,e])=>e).map(([e])=>e)}get singleModelName(){if(Xn.isRouterMode)return null;const e=Xn.props;return e?.model_alias?e.model_alias:e?.model_path&&e.model_path.split(/(\\|\/)/).pop()||null}getModelModalities(e){const t=this.models.find(a=>a.model===e||a.id===e);if(t?.modalities)return t.modalities;const n=this.modelPropsCache.get(e);return n?.modalities?{vision:n.modalities.vision??!1,audio:n.modalities.audio??!1}:null}modelSupportsVision(e){return this.getModelModalities(e)?.vision??!1}modelSupportsAudio(e){return this.getModelModalities(e)?.audio??!1}getModelModalitiesArray(e){const t=this.getModelModalities(e);if(!t)return[];const n=[];return t.vision&&n.push(qc.VISION),t.audio&&n.push(qc.AUDIO),n}getModelProps(e){return this.modelPropsCache.get(e)}getModelContextSize(e){const n=this.getModelProps(e)?.default_generation_settings?.n_ctx;return typeof n=="number"?n:null}get selectedModelContextSize(){return this.selectedModelName?this.getModelContextSize(this.selectedModelName):null}isModelPropsFetching(e){return this.modelPropsFetching.has(e)}isModelLoaded(e){const t=this.routerModels.find(n=>n.id===e);return t?.status.value===mi.LOADED||t?.status.value===mi.SLEEPING||!1}isModelOperationInProgress(e){return this.modelLoadingStates.get(e)??!1}getModelStatus(e){return this.routerModels.find(n=>n.id===e)?.status.value??null}getModelUsage(e){return this.modelUsage.get(e)??new ls}isModelInUse(e){const t=this.modelUsage.get(e);return t!==void 0&&t.size>0}async fetch(e=!1){if(!this.loading&&!(this.models.length>0&&!e)){this.loading=!0,this.error=null;try{Xn.props||await Xn.fetch();const t=await Hh.list(),n=t.data.map((i,s)=>{const o=t.models?.[s],l=Array.isArray(o?.capabilities)?o?.capabilities:[],c=o?.name&&o.name.trim().length>0?o.name:i.id,u=this.toDisplayName(c),d=o?.model||i.id;return{id:i.id,name:u,model:d,description:o?.description,capabilities:l.filter(h=>!!h),details:o?.details,meta:i.meta??null,parsedId:Hh.parseModelId(d),aliases:i.aliases??[],tags:i.tags??[]}});this.models=n;const a=Xn.props;if(Xn.isModelMode&&this.models.length>0&&a?.modalities){const i={vision:a.modalities.vision??!1,audio:a.modalities.audio??!1};this.modelPropsCache.set(this.models[0].model,a),this.models=this.models.map((s,o)=>o===0?{...s,modalities:i}:s)}}catch(t){throw this.models=[],this.error=t instanceof Error?t.message:"Failed to load models",t}finally{this.loading=!1}}}async fetchRouterModels(){try{const e=await Hh.listRouter();this.routerModels=e.data,await this.fetchModalitiesForLoadedModels();const t=this.models.filter(n=>this.getModelProps(n.model)?.webui!==!1);t.length===1&&this.isModelLoaded(t[0].model)&&this.selectModelById(t[0].id)}catch(e){console.warn("Failed to fetch router models:",e),this.routerModels=[]}}async fetchModelProps(e){const t=this.modelPropsCache.get(e);if(t)return t;if(Xn.isRouterMode&&!this.isModelLoaded(e)||this.modelPropsFetching.has(e))return null;this.modelPropsFetching.add(e);try{const n=await r$.fetchForModel(e);return this.modelPropsCache.set(e,n),n}catch(n){return console.warn(`Failed to fetch props for model ${e}:`,n),null}finally{this.modelPropsFetching.delete(e)}}async fetchModalitiesForLoadedModels(){const e=this.loadedModelIds;if(e.length===0)return;const t=e.map(n=>this.fetchModelProps(n));try{const n=await Promise.all(t);this.models=this.models.map(a=>{const i=e.indexOf(a.model);if(i===-1)return a;const s=n[i];if(!s?.modalities)return a;const o={vision:s.modalities.vision??!1,audio:s.modalities.audio??!1};return{...a,modalities:o}}),this.propsCacheVersion++}catch(n){console.warn("Failed to fetch modalities for loaded models:",n)}}async updateModelModalities(e){try{const t=await this.fetchModelProps(e);if(!t?.modalities)return;const n={vision:t.modalities.vision??!1,audio:t.modalities.audio??!1};this.models=this.models.map(a=>a.model===e?{...a,modalities:n}:a),this.propsCacheVersion++}catch(t){console.warn(`Failed to update modalities for model ${e}:`,t)}}async selectModelById(e){if(!e||this.updating||this.selectedModelId===e)return;const t=this.models.find(n=>n.id===e);if(!t)throw new Error("Selected model is not available");this.updating=!0,this.error=null;try{this.selectedModelId=t.id,this.selectedModelName=t.model}finally{this.updating=!1}}selectModelByName(e){const t=this.models.find(n=>n.model===e);t&&(this.selectedModelId=t.id,this.selectedModelName=t.model)}clearSelection(){this.selectedModelId=null,this.selectedModelName=null}findModelByName(e){return this.models.find(t=>t.model===e)??null}findModelById(e){return this.models.find(t=>t.id===e)??null}hasModel(e){return this.models.some(t=>t.model===e)}static STATUS_POLL_INTERVAL=500;async pollForModelStatus(e,t){let n=0;for(;;){await this.fetchRouterModels();const a=this.getModelStatus(e);if(a===t)return;if(a===mi.FAILED)throw new Error(`Model failed to ${t===mi.LOADED?"load":"unload"}`);if(t===mi.LOADED&&a===mi.UNLOADED&&n>2)throw new Error("Model was unloaded unexpectedly during loading");n++,await new Promise(i=>setTimeout(i,Ox.STATUS_POLL_INTERVAL))}}async loadModel(e){if(!this.isModelLoaded(e)&&!this.modelLoadingStates.get(e)){this.modelLoadingStates.set(e,!0),this.error=null;try{await Hh.load(e),await this.pollForModelStatus(e,mi.LOADED),await this.updateModelModalities(e),Jn.success(`Model loaded: ${this.toDisplayName(e)}`)}catch(t){throw this.error=t instanceof Error?t.message:"Failed to load model",Jn.error(`Failed to load model: ${this.toDisplayName(e)}`),t}finally{this.modelLoadingStates.set(e,!1)}}}async unloadModel(e){if(this.isModelLoaded(e)&&!this.modelLoadingStates.get(e)){this.modelLoadingStates.set(e,!0),this.error=null;try{await Hh.unload(e),await this.pollForModelStatus(e,mi.UNLOADED),Jn.info(`Model unloaded: ${this.toDisplayName(e)}`)}catch(t){throw this.error=t instanceof Error?t.message:"Failed to unload model",Jn.error(`Failed to unload model: ${this.toDisplayName(e)}`),t}finally{this.modelLoadingStates.set(e,!1)}}}async ensureModelLoaded(e){this.isModelLoaded(e)||await this.loadModel(e)}isFavorite(e){return this.favoriteModelIds.has(e)}toggleFavorite(e){const t=new ls(this.favoriteModelIds);t.has(e)?t.delete(e):t.add(e),this.favoriteModelIds=t;try{localStorage.setItem(dO,JSON.stringify([...t]))}catch{Jn.error("Failed to save favorite models to local storage")}}loadFavoritesFromStorage(){try{const e=localStorage.getItem(dO);return e?new Set(JSON.parse(e)):new Set}catch{return Jn.error("Failed to load favorite models from local storage"),new Set}}toDisplayName(e){const n=e.split(/\\|\//).pop();return n&&n.trim().length>0?n:e}clear(){this.models=[],this.routerModels=[],this.loading=!1,this.updating=!1,this.error=null,this.selectedModelId=null,this.selectedModelName=null,this.modelUsage.clear(),this.modelLoadingStates.clear(),this.modelPropsCache.clear(),this.modelPropsFetching.clear()}pruneExpiredCache(){return this.modelPropsCache.prune()}}const rr=new Ox,to=()=>rr.models,qye=()=>rr.routerModels,Nx=()=>rr.loading,Vz=()=>rr.updating,Rc=()=>rr.selectedModelId,hA=()=>rr.selectedModelName,Ix=()=>rr.singleModelName,Hye=()=>rr.selectedModelContextSize;function UD(r){return new Promise((e,t)=>{const n=new FileReader;n.onload=()=>{const i=n.result.split(",")[1];e(i)},n.onerror=()=>t(n.error),n.readAsDataURL(r)})}async function Yz(r,e){const t=[],n=[];for(const a of r){if(a.type===Cm.MCP_PROMPT&&a.mcpPrompt){t.push({type:Kr.MCP_PROMPT,name:a.name,serverName:a.mcpPrompt.serverName,promptName:a.mcpPrompt.promptName,content:a.textContent??"",arguments:a.mcpPrompt.arguments});continue}if(tl(a.type)===Dn.IMAGE){if(a.preview){let i=a.preview;if(zz(a.type))try{i=await Gz(i)}catch(s){console.error("Failed to convert SVG to PNG for database storage:",s)}else if(Hz(a.type))try{i=await qz(i)}catch(s){console.error("Failed to convert WebP to PNG for database storage:",s)}t.push({type:Kr.IMAGE,name:a.name,base64Url:i})}}else if(tl(a.type)===Dn.AUDIO)try{const i=await UD(a.file);t.push({type:Kr.AUDIO,name:a.name,base64Data:i,mimeType:a.type})}catch(i){console.error(`Failed to process audio file ${a.name}:`,i)}else if(tl(a.type)===Dn.PDF)try{const i=await UD(a.file),s=An(),o=e?rr.modelSupportsVision(e):!1;let l=!!s.pdfAsImage&&o;if(s.pdfAsImage&&!o&&(console.log("Non-vision model detected: forcing PDF-to-text mode and updating settings"),io.updateConfig("pdfAsImage",!1),Jn.warning("PDF setting changed: Non-vision model detected, PDFs will be processed as text instead of images.",{duration:5e3}),l=!1),l)try{const c=await $z(a.file);Jn.success(`PDF "${a.name}" processed as ${c.length} images for vision model.`,{duration:3e3}),t.push({type:Kr.PDF,name:a.name,content:`PDF file with ${c.length} pages`,images:c,processedAsImages:!0,base64Data:i})}catch(c){console.warn(`Failed to process PDF ${a.name} as images, falling back to text:`,c);const u=await dA(a.file);t.push({type:Kr.PDF,name:a.name,content:u,processedAsImages:!1,base64Data:i})}else{const c=await dA(a.file);Jn.success(`PDF "${a.name}" processed as text content.`,{duration:3e3}),t.push({type:Kr.PDF,name:a.name,content:c,processedAsImages:!1,base64Data:i})}}catch(i){console.error(`Failed to process PDF file ${a.name}:`,i)}else try{const i=await Tce(a.file);i.trim()===""?(console.warn(`File ${a.name} is empty and will be skipped`),n.push(a.name)):Cce(i)?t.push({type:Kr.TEXT,name:a.name,content:i}):console.warn(`File ${a.name} appears to be binary and will be skipped`)}catch(i){console.error(`Failed to read file ${a.name}:`,i)}}return{extras:t,emptyFiles:n}}function $D(r){return new Promise((e,t)=>{const n=new FileReader;n.onload=()=>e(n.result),n.onerror=()=>t(n.error),n.readAsDataURL(r)})}function Vye(r){return new Promise((e,t)=>{const n=new FileReader;n.onload=()=>e(n.result),n.onerror=()=>t(n.error),n.readAsText(r)})}async function Wz(r,e){const t=[];for(const n of r){const i={id:Date.now().toString()+Math.random().toString(36).substr(2,9),name:n.name,size:n.size,type:n.type,file:n};try{if(tl(n.type)===Dn.IMAGE){let s=await $D(n);if(zz(n.type))try{s=await Gz(s)}catch(o){console.error("Failed to convert SVG to PNG:",o)}else if(Hz(n.type))try{s=await qz(s)}catch(o){console.error("Failed to convert WebP to PNG:",o)}t.push({...i,preview:s})}else if(tl(n.type)===Dn.PDF){try{const l=await dA(n);t.push({...i,textContent:l})}catch(l){console.warn("Failed to extract text from PDF, adding without content:",l),t.push(i)}const s=e?rr.modelSupportsVision(e):!1,o=io.config;s&&!o.pdfAsImage&&Jn.info("You can enable parsing PDF as images with vision models.",{duration:8e3,action:{label:"Enable PDF as Images",onClick:()=>{io.updateConfig("pdfAsImage",!0),Jn.success("PDF parsing as images enabled!",{duration:3e3})}}})}else if(tl(n.type)===Dn.AUDIO){const s=await $D(n);t.push({...i,preview:s})}else try{const s=await Vye(n);t.push({...i,textContent:s})}catch(s){console.warn("Failed to read file as text, adding without content:",s),t.push(i)}}catch(s){console.error("Error processing file",n.name,s),t.push(i)}}return t}var Yye=G("<!> Text",1),Wye=G('<div class="mr-1 h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent"></div>'),jye=G("<!> Pages",1),Kye=G('<div class="flex items-center gap-2"><!> <!></div>'),Xye=G('<div class="flex items-center justify-center"><img class="max-h-full rounded-lg object-contain shadow-lg"/></div>'),Qye=G('<span class="inline-flex">The selected model does not support vision. Only the extracted  <span class="mx-1 cursor-pointer underline">text</span> will be sent to the model.</span>'),Zye=G("<!> <!> <!>",1),Jye=G('<div class="flex items-center justify-center p-8"><div class="text-center"><div class="mx-auto mb-4 h-8 w-8 animate-spin rounded-full border-4 border-primary border-t-transparent"></div> <p class="text-muted-foreground">Converting PDF to images...</p></div></div>'),eSe=G('<div class="flex items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-muted-foreground">Failed to load PDF images</p> <p class="text-sm text-muted-foreground"> </p> <!></div></div>'),tSe=G('<div class="text-center"><p class="mb-2 text-sm text-muted-foreground"> </p> <img class="mx-auto max-w-full rounded-lg shadow-lg"/></div>'),rSe=G('<div class="max-h-[70vh] space-y-4 overflow-auto"></div>'),nSe=G('<div class="flex items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-muted-foreground">No PDF pages 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isInitialized(){return f(this.#n)}set isInitialized(e){M(this.#n,e,!0)}#i=_e(Sr(Pb.loadMcpDefaults()));get pendingMcpServerOverrides(){return f(this.#i)}set pendingMcpServerOverrides(e){M(this.#i,e,!0)}static loadMcpDefaults(){if(typeof globalThis.localStorage>"u")return[];try{const e=localStorage.getItem(ES);if(!e)return[];const t=JSON.parse(e);return Array.isArray(t)?t.filter(n=>typeof n=="object"&&n!==null&&"serverId"in n&&"enabled"in n):[]}catch{return[]}}saveMcpDefaults(){if(typeof globalThis.localStorage>"u")return;const e=this.pendingMcpServerOverrides.map(t=>({serverId:t.serverId,enabled:t.enabled}));e.length>0?localStorage.setItem(ES,JSON.stringify(e)):localStorage.removeItem(ES)}titleUpdateConfirmationCallback;messageUpdateCallback=null;async init(){if(!this.isInitialized)try{await Qce(),await this.loadConversations(),this.isInitialized=!0}catch(e){console.error("Failed to initialize conversations:",e)}}async initialize(){return this.init()}registerMessageUpdateCallback(e){this.messageUpdateCallback=e}addMessageToActive(e){this.activeMessages.push(e)}updateMessageAtIndex(e,t){e!==-1&&this.activeMessages[e]&&(this.activeMessages[e]={...this.activeMessages[e],...t})}findMessageIndex(e){return this.activeMessages.findIndex(t=>t.id===e)}sliceActiveMessages(e){this.activeMessages=this.activeMessages.slice(0,e)}removeMessageAtIndex(e){if(e!==-1)return this.activeMessages.splice(e,1)[0]}setTitleUpdateConfirmationCallback(e){this.titleUpdateConfirmationCallback=e}async loadConversations(){const e=await mr.getAllConversations();this.conversations=e}async createConversation(e){const t=e||`Chat ${new Date().toLocaleString()}`,n=await mr.createConversation(t);if(this.pendingMcpServerOverrides.length>0){const a=this.pendingMcpServerOverrides.map(i=>({serverId:i.serverId,enabled:i.enabled}));n.mcpServerOverrides=a,await mr.updateConversation(n.id,{mcpServerOverrides:a}),this.pendingMcpServerOverrides=[]}return this.conversations=[n,...this.conversations],this.activeConversation=n,this.activeMessages=[],await as(`#/chat/${n.id}`),n.id}async loadConversation(e){try{const t=await mr.getConversation(e);if(!t)return!1;if(this.pendingMcpServerOverrides=[],this.activeConversation=t,t.currNode){const n=await mr.getConversationMessages(e),a=uf(n,t.currNode,!1);this.activeMessages=a}else{const n=await mr.getConversationMessages(e);this.activeMessages=n}return!0}catch(t){return console.error("Failed to load conversation:",t),!1}}clearActiveConversation(){this.activeConversation=null,this.activeMessages=[],this.pendingMcpServerOverrides=Pb.loadMcpDefaults()}async deleteConversation(e,t){try{if(await mr.deleteConversation(e,t),t?.deleteWithForks){const n=new ls([e]),a=[e];for(;a.length>0;){const i=a.pop();for(const s of this.conversations)s.forkedFromConversationId===i&&!n.has(s.id)&&(n.add(s.id),a.push(s.id))}this.conversations=this.conversations.filter(i=>!n.has(i.id)),this.activeConversation&&n.has(this.activeConversation.id)&&(this.clearActiveConversation(),await as("?new_chat=true#/"))}else{const a=this.conversations.find(i=>i.id===e)?.forkedFromConversationId;this.conversations=this.conversations.filter(i=>i.id!==e).map(i=>i.forkedFromConversationId===e?{...i,forkedFromConversationId:a}:i),this.activeConversation?.id===e&&(this.clearActiveConversation(),await as("?new_chat=true#/"))}}catch(n){console.error("Failed to delete conversation:",n)}}async deleteAll(){try{const e=await mr.getAllConversations();for(const t of e)await mr.deleteConversation(t.id);this.clearActiveConversation(),this.conversations=[],Jn.success("All conversations deleted"),await as("?new_chat=true#/")}catch(e){console.error("Failed to delete all conversations:",e),Jn.error("Failed to delete conversations")}}async refreshActiveMessages(){if(!this.activeConversation)return;const e=await mr.getConversationMessages(this.activeConversation.id);if(e.length===0){this.activeMessages=[];return}const t=this.activeConversation.currNode||e.reduce((a,i)=>i.timestamp>a.timestamp?i:a).id,n=uf(e,t,!1);this.activeMessages=n}async getConversationMessages(e){return await mr.getConversationMessages(e)}async updateConversationName(e,t){try{await mr.updateConversation(e,{name:t});const n=this.conversations.findIndex(a=>a.id===e);n!==-1&&(this.conversations[n].name=t,this.conversations=[...this.conversations]),this.activeConversation?.id===e&&(this.activeConversation={...this.activeConversation,name:t})}catch(n){console.error("Failed to update conversation name:",n)}}async updateConversationTitleWithConfirmation(e,t){try{if(An().askForTitleConfirmation&&this.titleUpdateConfirmationCallback){const a=await mr.getConversation(e);if(!a||!await this.titleUpdateConfirmationCallback(a.name,t))return!1}return await this.updateConversationName(e,t),!0}catch(n){return console.error("Failed to update conversation title with confirmation:",n),!1}}updateConversationTimestamp(){if(!this.activeConversation)return;const e=this.conversations.findIndex(t=>t.id===this.activeConversation.id);if(e!==-1){this.conversations[e].lastModified=Date.now();const t=this.conversations.splice(e,1)[0];this.conversations=[t,...this.conversations]}}async updateCurrentNode(e){this.activeConversation&&(await mr.updateCurrentNode(this.activeConversation.id,e),this.activeConversation={...this.activeConversation,currNode:e})}async navigateToSibling(e){if(!this.activeConversation)return;const t=await mr.getConversationMessages(this.activeConversation.id),n=t.find(s=>s.type==="root"&&s.parent===null),a=this.activeMessages.find(s=>s.role===Jt.USER&&s.parent===n?.id),i=cb(t,e);if(await mr.updateCurrentNode(this.activeConversation.id,i),this.activeConversation={...this.activeConversation,currNode:i},await this.refreshActiveMessages(),n&&this.activeMessages.length>0){const s=this.activeMessages.find(o=>o.role===Jt.USER&&o.parent===n.id);s&&s.content.trim()&&(!a||s.id!==a.id||s.content.trim()!==a.content.trim())&&await this.updateConversationTitleWithConfirmation(this.activeConversation.id,s.content.trim())}}getMcpServerOverride(e){return this.activeConversation?this.activeConversation.mcpServerOverrides?.find(t=>t.serverId===e):this.pendingMcpServerOverrides.find(t=>t.serverId===e)}getAllMcpServerOverrides(){return this.activeConversation?.mcpServerOverrides?this.activeConversation.mcpServerOverrides:this.pendingMcpServerOverrides}isMcpServerEnabledForChat(e){return this.getMcpServerOverride(e)?.enabled??!1}async setMcpServerOverride(e,t){if(!this.activeConversation){this.setPendingMcpServerOverride(e,t);return}const n=(this.activeConversation.mcpServerOverrides||[]).map(s=>({serverId:s.serverId,enabled:s.enabled}));let a;if(t===void 0)a=n.filter(s=>s.serverId!==e);else{const s=n.findIndex(o=>o.serverId===e);s>=0?(a=[...n],a[s]={serverId:e,enabled:t}):a=[...n,{serverId:e,enabled:t}]}await mr.updateConversation(this.activeConversation.id,{mcpServerOverrides:a.length>0?a:void 0}),this.activeConversation={...this.activeConversation,mcpServerOverrides:a.length>0?a:void 0};const i=this.conversations.findIndex(s=>s.id===this.activeConversation.id);i!==-1&&(this.conversations[i].mcpServerOverrides=a.length>0?a:void 0,this.conversations=[...this.conversations])}setPendingMcpServerOverride(e,t){if(t===void 0)this.pendingMcpServerOverrides=this.pendingMcpServerOverrides.filter(n=>n.serverId!==e);else{const n=this.pendingMcpServerOverrides.findIndex(a=>a.serverId===e);if(n>=0){const a=[...this.pendingMcpServerOverrides];a[n]={serverId:e,enabled:t},this.pendingMcpServerOverrides=a}else this.pendingMcpServerOverrides=[...this.pendingMcpServerOverrides,{serverId:e,enabled:t}]}this.saveMcpDefaults()}async toggleMcpServerForChat(e){const t=this.isMcpServerEnabledForChat(e);await this.setMcpServerOverride(e,!t)}async removeMcpServerOverride(e){await this.setMcpServerOverride(e,void 0)}clearPendingMcpServerOverrides(){this.pendingMcpServerOverrides=[],this.saveMcpDefaults()}async forkConversation(e,t){if(!this.activeConversation)return null;try{const n=await mr.forkConversation(this.activeConversation.id,e,t);return this.conversations=[n,...this.conversations],await as(`#/chat/${n.id}`),Jn.success("Conversation forked"),n.id}catch(n){return console.error("Failed to fork conversation:",n),Jn.error("Failed to fork conversation"),null}}generateConversationFilename(e,t){const a=(e.name??"").trim().toLowerCase().replace(tae,rae).replace(nae,"_").substring(0,Jne),o=(t?.length?new Date(Math.max(...t.map(c=>c.timestamp))):new Date).toISOString().slice(0,eae).replace(ZU,aae).replaceAll(iae,sae),l=e.id?.slice(0,Zne)??"";return`${o}_conv_${l}_${a}.json`}downloadConversationFile(e,t){const n="conv"in e?e.conv:Array.isArray(e)?e[0]?.conv:void 0,a="messages"in e?e.messages:Array.isArray(e)?e[0]?.messages:void 0;if(!n){console.error("Invalid data: missing conversation");return}const i=t??this.generateConversationFilename(n,a),s=new Blob([JSON.stringify(e,null,2)],{type:"application/json"}),o=URL.createObjectURL(s),l=document.createElement("a");l.href=o,l.download=i,document.body.appendChild(l),l.click(),document.body.removeChild(l),URL.revokeObjectURL(o)}async downloadConversation(e){let t,n;if(this.activeConversation?.id===e)t=this.activeConversation,n=this.activeMessages;else{if(t=await mr.getConversation(e),!t)return;n=await mr.getConversationMessages(e)}this.downloadConversationFile({conv:t,messages:n})}async importConversations(){return new Promise((e,t)=>{const n=document.createElement("input");n.type="file",n.accept=".json",n.onchange=async a=>{const i=a.target?.files?.[0];if(!i){t(new Error("No file selected"));return}try{const s=await i.text(),o=JSON.parse(s);let l;if(Array.isArray(o))l=o;else if(o&&typeof o=="object"&&"conv"in o&&"messages"in o)l=[o];else throw new Error("Invalid file format");const c=await mr.importConversations(l);Jn.success(`Imported ${c.imported} conversation(s), skipped ${c.skipped}`),await this.loadConversations();const u=(Array.isArray(l)?l:[l]).map(d=>d.conv);e(u)}catch(s){const o=s instanceof Error?s.message:"Unknown error";console.error("Failed to import conversations:",s),Jn.error("Import failed",{description:o}),t(new Error(`Import failed: ${o}`))}},n.click()})}async importConversationsData(e){const t=await mr.importConversations(e);return await this.loadConversations(),t}}const rt=new Pb;rt.init();const Dd=()=>rt.conversations,Ll=()=>rt.activeConversation,Ru=()=>rt.activeMessages,s2e=()=>rt.isInitialized;function o2e(r){const e=new Oi,t=new ls;for(const o of r)if(o.forkedFromConversationId){t.add(o.id);const l=e.get(o.forkedFromConversationId)||[];l.push(o),e.set(o.forkedFromConversationId,l)}const n=[],a=new 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0,onChunk:ie=>{D+=ie,c?.(ie)},onReasoningChunk:ie=>{V+=ie,u?.(ie)},onToolCallChunk:ie=>{try{if(q=JSON.parse(ie),d?.(q),q.length>0&&q[0]?.function){const k=q[0].function.name||"",B=q[0].function.arguments||"",te=Math.floor(B.length/100);(k!==$||te!==K)&&($=k,K=te,this.updateSession(t,{streamingToolCall:{name:k,arguments:B}}))}}catch{}},onModel:p,onTimings:(ie,k)=>{v?.(ie,k),ie&&(S=ie,z=ie)},onComplete:()=>{},onError:ie=>{throw ie}},void 0,l),this.updateSession(t,{streamingToolCall:null}),z&&(C.llm.predicted_n+=z.predicted_n||0,C.llm.predicted_ms+=z.predicted_ms||0,C.llm.prompt_n+=z.prompt_n||0,C.llm.prompt_ms+=z.prompt_ms||0,re.llm.predicted_n=z.predicted_n||0,re.llm.predicted_ms=z.predicted_ms||0,re.llm.prompt_n=z.prompt_n||0,re.llm.prompt_ms=z.prompt_ms||0)}catch(ie){if(l?.aborted){await m?.(D,V||void 0,this.buildFinalTimings(S,C),void 0),_?.(this.buildFinalTimings(S,C));return}const k=ie instanceof Error?ie:new Error("LLM stream error");throw c?.(`${JR}${k.message}${eO}`),await m?.(D+`${JR}${k.message}${eO}`,V||void 0,this.buildFinalTimings(S,C),void 0),_?.(this.buildFinalTimings(S,C)),k}if(q.length===0){C.perTurn.push(re);const ie=this.buildFinalTimings(S,C);await m?.(D,V||void 0,ie,void 0),ie&&y?.(ie),_?.(ie);return}const W=this.normalizeToolCalls(q);if(W.length===0){await m?.(D,V||void 0,this.buildFinalTimings(S,C),void 0),_?.(this.buildFinalTimings(S,C));return}w+=W.length,this.updateSession(t,{totalToolCalls:w}),await m?.(D,V||void 0,z,W),E.push({role:Jt.ASSISTANT,content:D||void 0,tool_calls:W});for(const ie of W){if(l?.aborted){_?.(this.buildFinalTimings(S,C));return}const k=performance.now(),B={id:ie.id,function:{name:ie.function.name,arguments:ie.function.arguments}};let te,O=!0;try{te=(await lr.executeTool(B,l)).content}catch(be){if(El(be)){_?.(this.buildFinalTimings(S,C));return}te=`Error: ${be instanceof Error?be.message:String(be)}`,O=!1}const R=performance.now()-k,U={name:ie.function.name,duration_ms:Math.round(R),success:O};if(C.toolCalls.push(U),C.toolCallsCount++,C.toolsMs+=Math.round(R),re.toolCalls.push(U),re.toolsMs+=Math.round(R),l?.aborted){_?.(this.buildFinalTimings(S,C));return}const{cleanedResult:Q,attachments:ne}=this.extractBase64Attachments(te);let ue;g&&(ue=await g(ie.id,Q,ne.length>0?ne:void 0)),ne.length>0&&ue&&h?.(ue.id,ne);const he=[{type:Zi.TEXT,text:Q}];for(const be of ne)be.type===Kr.IMAGE&&(rr.modelSupportsVision(N)?he.push({type:Zi.IMAGE_URL,image_url:{url:be.base64Url}}):console.info(`[AgenticStore] Skipping image attachment (model "${N}" does not support vision)`));E.push({role:Jt.TOOL,tool_call_id:ie.id,content:he.length===1?Q:he})}if(re.toolCalls.length>0){C.perTurn.push(re);const ie=this.buildFinalTimings(S,C);ie&&y?.(ie)}}c?.(ZR),await m?.(ZR,void 0,this.buildFinalTimings(S,C),void 0),_?.(this.buildFinalTimings(S,C))}buildFinalTimings(e,t){return t.toolCallsCount===0?e:{predicted_n:e?.predicted_n,predicted_ms:e?.predicted_ms,prompt_n:e?.prompt_n,prompt_ms:e?.prompt_ms,cache_n:e?.cache_n,agentic:t}}normalizeToolCalls(e){return e?e.map((t,n)=>({id:t?.id??`tool_${n}`,type:t?.type??Uv.FUNCTION,function:{name:t?.function?.name??"",arguments:t?.function?.arguments??""}})):[]}extractBase64Attachments(e){if(!e.trim())return{cleanedResult:e,attachments:[]};const t=e.split(ob),n=[];let a=0;return{cleanedResult:t.map(s=>{const o=s.trim(),l=o.match(Vne);if(!l)return s;const c=l[1].toLowerCase();if(!l[2])return s;a+=1;const d=this.buildAttachmentName(c,a);return c.startsWith(kf.IMAGE)?(n.push({type:Kr.IMAGE,name:d,base64Url:o}),`[Attachment saved: ${d}]`):s}).join(ob),attachments:n}}buildAttachmentName(e,t){const n=Qne[e]??jne;return`${Yne}-${Date.now()}-${t}.${n}`}}const qD=new D2e;class P2e{#e=_e(null);get activeProcessingState(){return f(this.#e)}set activeProcessingState(e){M(this.#e,e,!0)}#t=_e("");get currentResponse(){return f(this.#t)}set currentResponse(e){M(this.#t,e,!0)}#r=_e(null);get errorDialogState(){return f(this.#r)}set errorDialogState(e){M(this.#r,e,!0)}#n=_e(!1);get isLoading(){return f(this.#n)}set isLoading(e){M(this.#n,e,!0)}chatLoadingStates=new Oi;chatStreamingStates=new Oi;abortControllers=new Oi;processingStates=new Oi;conversationStateTimestamps=new Oi;#i=_e(null);get activeConversationId(){return f(this.#i)}set activeConversationId(e){M(this.#i,e,!0)}#a=_e(!1);get isStreamingActive(){return f(this.#a)}set isStreamingActive(e){M(this.#a,e,!0)}#s=_e(!1);get isEditModeActive(){return f(this.#s)}set isEditModeActive(e){M(this.#s,e,!0)}#o=_e(null);get addFilesHandler(){return f(this.#o)}set addFilesHandler(e){M(this.#o,e,!0)}#l=_e(null);get pendingEditMessageId(){return f(this.#l)}set pendingEditMessageId(e){M(this.#l,e,!0)}messageUpdateCallback=null;#c=_e("");get _pendingDraftMessage(){return f(this.#c)}set _pendingDraftMessage(e){M(this.#c,e,!0)}#d=_e(Sr([]));get _pendingDraftFiles(){return f(this.#d)}set _pendingDraftFiles(e){M(this.#d,e,!0)}setChatLoading(e,t){this.touchConversationState(e),t?(this.chatLoadingStates.set(e,!0),e===rt.activeConversation?.id&&(this.isLoading=!0)):(this.chatLoadingStates.delete(e),e===rt.activeConversation?.id&&(this.isLoading=!1))}setChatStreaming(e,t,n){this.touchConversationState(e),this.chatStreamingStates.set(e,{response:t,messageId:n}),e===rt.activeConversation?.id&&(this.currentResponse=t)}clearChatStreaming(e){this.chatStreamingStates.delete(e),e===rt.activeConversation?.id&&(this.currentResponse="")}getChatStreaming(e){return this.chatStreamingStates.get(e)}syncLoadingStateForChat(e){this.isLoading=this.chatLoadingStates.get(e)||!1;const t=this.chatStreamingStates.get(e);if(this.currentResponse=t?.response||"",this.isStreamingActive=t!==void 0,this.setActiveProcessingConversation(e),t?.response&&t?.messageId){const n=rt.findMessageIndex(t.messageId);n!==-1&&rt.updateMessageAtIndex(n,{content:t.response})}}clearUIState(){this.isLoading=!1,this.currentResponse="",this.isStreamingActive=!1}setActiveProcessingConversation(e){this.activeConversationId=e,this.activeProcessingState=e&&this.processingStates.get(e)||null}getProcessingState(e){return this.processingStates.get(e)||null}setProcessingState(e,t){t===null?this.processingStates.delete(e):this.processingStates.set(e,t),e===this.activeConversationId&&(this.activeProcessingState=t)}clearProcessingState(e){this.processingStates.delete(e),e===this.activeConversationId&&(this.activeProcessingState=null)}getActiveProcessingState(){return this.activeProcessingState}getCurrentProcessingStateSync(){return this.activeProcessingState}setStreamingActive(e){this.isStreamingActive=e}isStreaming(){return this.isStreamingActive}getOrCreateAbortController(e){let t=this.abortControllers.get(e);return(!t||t.signal.aborted)&&(t=new AbortController,this.abortControllers.set(e,t)),t}abortRequest(e){if(e){const t=this.abortControllers.get(e);t&&(t.abort(),this.abortControllers.delete(e))}else{for(const t of this.abortControllers.values())t.abort();this.abortControllers.clear()}}showErrorDialog(e){this.errorDialogState=e}dismissErrorDialog(){this.errorDialogState=null}clearEditMode(){this.isEditModeActive=!1,this.addFilesHandler=null}isEditing(){return this.isEditModeActive}setEditModeActive(e){this.isEditModeActive=!0,this.addFilesHandler=e}getAddFilesHandler(){return this.addFilesHandler}clearPendingEditMessageId(){this.pendingEditMessageId=null}savePendingDraft(e,t){this._pendingDraftMessage=e,this._pendingDraftFiles=[...t]}consumePendingDraft(){if(!this._pendingDraftMessage&&this._pendingDraftFiles.length===0)return null;const e={message:this._pendingDraftMessage,files:[...this._pendingDraftFiles]};return this._pendingDraftMessage="",this._pendingDraftFiles=[],e}hasPendingDraft(){return!!this._pendingDraftMessage||this._pendingDraftFiles.length>0}getAllLoadingChats(){return Array.from(this.chatLoadingStates.keys())}getAllStreamingChats(){return Array.from(this.chatStreamingStates.keys())}getChatStreamingPublic(e){return this.getChatStreaming(e)}isChatLoadingPublic(e){return this.chatLoadingStates.get(e)||!1}isChatLoadingInternal(e){return this.chatStreamingStates.has(e)}touchConversationState(e){this.conversationStateTimestamps.set(e,{lastAccessed:Date.now()})}cleanupOldConversationStates(e){const t=Date.now(),n=e??[],a=this.activeConversationId?[...n,this.activeConversationId]:n,i=[...new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys(),...this.conversationStateTimestamps.keys()])],s=[];for(const l of i){if(a.includes(l)||this.chatLoadingStates.get(l)||this.chatStreamingStates.has(l))continue;const c=this.conversationStateTimestamps.get(l);s.push({convId:l,lastAccessed:c?.lastAccessed??0})}s.sort((l,c)=>l.lastAccessed-c.lastAccessed);let o=0;for(const{convId:l,lastAccessed:c}of s)(s.length-o>qre||t-c>Hre)&&(this.cleanupConversationState(l),o++);return o}cleanupConversationState(e){const t=this.abortControllers.get(e);t&&!t.signal.aborted&&t.abort(),this.chatLoadingStates.delete(e),this.chatStreamingStates.delete(e),this.abortControllers.delete(e),this.processingStates.delete(e),this.conversationStateTimestamps.delete(e)}getTrackedConversationCount(){return new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys()]).size}getMessageByIdWithRole(e,t){const n=rt.findMessageIndex(e);if(n===-1)return null;const a=rt.activeMessages[n];return t&&a.role!==t?null:{message:a,index:n}}async addMessage(e,t,n=Tl.TEXT,a="-1",i){const s=rt.activeConversation;if(!s)throw new Error("No active conversation");let o=null;if(a==="-1"){const c=rt.activeMessages;if(c.length>0)o=c[c.length-1].id;else{const d=(await rt.getConversationMessages(s.id)).find(h=>h.parent===null&&h.type==="root");o=d?d.id:await mr.createRootMessage(s.id)}}else o=a;const l=await mr.createMessageBranch({convId:s.id,role:e,content:t,type:n,timestamp:Date.now(),toolCalls:"",children:[],extra:i},o);return rt.addMessageToActive(l),await rt.updateCurrentNode(l.id),rt.updateConversationTimestamp(),l}async addSystemPrompt(){let e=rt.activeConversation;if(e||(await rt.createConversation(),e=rt.activeConversation),!!e)try{const t=await rt.getConversationMessages(e.id),n=t.find(c=>c.type==="root"&&c.parent===null),a=n?n.id:await mr.createRootMessage(e.id),i=t.find(c=>c.role===Jt.SYSTEM&&c.parent===a);if(i){this.pendingEditMessageId=i.id,rt.activeMessages.some(c=>c.id===i.id)||rt.activeMessages.unshift(i);return}const o=rt.activeMessages.find(c=>c.parent===a),l=await mr.createSystemMessage(e.id,JU,a);if(o){await mr.updateMessage(o.id,{parent:l.id}),await mr.updateMessage(l.id,{children:[o.id]});const c=n?n.children.filter(d=>d!==o.id):[];await mr.updateMessage(a,{children:[...c.filter(d=>d!==l.id),l.id]});const u=rt.findMessageIndex(o.id);u!==-1&&rt.updateMessageAtIndex(u,{parent:l.id})}rt.activeMessages.unshift(l),this.pendingEditMessageId=l.id,rt.updateConversationTimestamp()}catch(t){console.error("Failed to add system prompt:",t)}}async removeSystemPromptPlaceholder(e){const t=rt.activeConversation;if(!t)return!1;try{const n=await rt.getConversationMessages(t.id),a=Rh(n,e);if(!a||a.role!==Jt.SYSTEM)return!1;const i=n.find(o=>o.type==="root"&&o.parent===null);if(!i)return!1;if(n.length===2&&a.children.length===0)return await rt.deleteConversation(t.id),!0;for(const o of a.children){await mr.updateMessage(o,{parent:i.id});const l=rt.findMessageIndex(o);l!==-1&&rt.updateMessageAtIndex(l,{parent:i.id})}await mr.updateMessage(i.id,{children:[...i.children.filter(o=>o!==e),...a.children]}),await mr.deleteMessage(e);const s=rt.findMessageIndex(e);return s!==-1&&rt.activeMessages.splice(s,1),rt.updateConversationTimestamp(),!1}catch(n){return console.error("Failed to remove system prompt placeholder:",n),!1}}async createAssistantMessage(e){const t=rt.activeConversation;if(!t)throw new Error("No active conversation");return await mr.createMessageBranch({convId:t.id,type:Tl.TEXT,role:Jt.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:null},e||null)}async sendMessage(e,t){if(!e.trim()&&(!t||t.length===0))return;const n=rt.activeConversation;if(n&&this.isChatLoadingInternal(n.id))return;const a=lr.consumeResourceAttachmentsAsExtras(),i=a.length>0?[...t||[],...a]:t;let s=!1;n||(await rt.createConversation(),s=!0);const o=rt.activeConversation;if(o){this.showErrorDialog(null),this.setChatLoading(o.id,!0),this.clearChatStreaming(o.id);try{let l;if(s){const d=await mr.createRootMessage(o.id),p=An().systemMessage?.toString().trim();if(p){const m=await mr.createSystemMessage(o.id,p,d);rt.addMessageToActive(m),l=m.id}else l=d}const c=await this.addMessage(Jt.USER,e,Tl.TEXT,l??"-1",i);s&&e&&await rt.updateConversationName(o.id,e.trim());const u=await this.createAssistantMessage(c.id);rt.addMessageToActive(u),await this.streamChatCompletion(rt.activeMessages.slice(0,-1),u)}catch(l){if(El(l)){this.setChatLoading(o.id,!1);return}console.error("Failed to send message:",l),this.setChatLoading(o.id,!1);const c=l instanceof Error&&l.name==="TimeoutError"?_c.TIMEOUT:_c.SERVER,u=l.contextInfo;this.showErrorDialog({type:c,message:l instanceof Error?l.message:"Unknown error",contextInfo:u})}}}async streamChatCompletion(e,t,n,a,i){let s=i;if(xs()&&!s){const E=this.getConversationModel(e);s=hA()||E}xs()&&s&&(rr.getModelProps(s)||await rr.fetchModelProps(s));let o=t.id,l="",c="",u=null,d=!1;const h=t.convId,p=(E,S=!0)=>{if(!E)return;const w=wce(E);if(!w||w===u)return;u=w;const C=rt.findMessageIndex(o);rt.updateMessageAtIndex(C,{model:w}),S&&!d&&(d=!0,mr.updateMessage(o,{model:w}).catch(()=>{d=!1,u=null}))},m=()=>{this.setChatStreaming(h,l,o);const E=rt.findMessageIndex(o);rt.updateMessageAtIndex(E,{content:l})},g=()=>{this.setStreamingActive(!1),this.setChatLoading(h,!1),this.clearChatStreaming(h),this.setProcessingState(h,null)};this.setStreamingActive(!0),this.setActiveProcessingConversation(h);const b=this.getOrCreateAbortController(h),_={onChunk:E=>{l+=E,m()},onReasoningChunk:E=>{c+=E;const S=rt.findMessageIndex(o);rt.updateMessageAtIndex(S,{reasoningContent:c})},onToolCallsStreaming:E=>{const S=rt.findMessageIndex(o);rt.updateMessageAtIndex(S,{toolCalls:JSON.stringify(E)})},onAttachments:(E,S)=>{if(!S.length)return;const w=rt.findMessageIndex(E);if(w===-1)return;const x=[...rt.activeMessages[w].extra||[],...S];rt.updateMessageAtIndex(w,{extra:x}),mr.updateMessage(E,{extra:x}).catch(console.error)},onModel:E=>p(E),onTurnComplete:E=>{const S=rt.findMessageIndex(t.id);rt.updateMessageAtIndex(S,{timings:E})},onTimings:(E,S)=>{const w=E?.predicted_ms&&E?.predicted_n?E.predicted_n/E.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:E?.prompt_n||0,prompt_ms:E?.prompt_ms,predicted_n:E?.predicted_n||0,predicted_per_second:w,cache_n:E?.cache_n||0,prompt_progress:S},h)},onAssistantTurnComplete:async(E,S,w,C)=>{const x={content:E,reasoningContent:S||void 0,toolCalls:C?JSON.stringify(C):"",timings:w};u&&!d&&(x.model=u),await mr.updateMessage(o,x);const N=rt.findMessageIndex(o),I={content:E,reasoningContent:S||void 0,toolCalls:C?JSON.stringify(C):""};w&&(I.timings=w),u&&(I.model=u),rt.updateMessageAtIndex(N,I),await rt.updateCurrentNode(o)},createToolResultMessage:async(E,S,w)=>{const C=await mr.createMessageBranch({convId:h,type:Tl.TEXT,role:Jt.TOOL,content:S,toolCallId:E,timestamp:Date.now(),toolCalls:"",children:[],extra:w},o);return rt.addMessageToActive(C),await rt.updateCurrentNode(C.id),C},createAssistantMessage:async()=>{l="",c="";const E=rt.activeMessages[rt.activeMessages.length-1],S=await mr.createMessageBranch({convId:h,type:Tl.TEXT,role:Jt.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:u},E.id);return rt.addMessageToActive(S),o=S.id,S},onFlowComplete:E=>{if(E){const S=rt.findMessageIndex(t.id);rt.updateMessageAtIndex(S,{timings:E}),mr.updateMessage(t.id,{timings:E}).catch(console.error)}g(),n&&n(l),xs()&&rr.fetchRouterModels().catch(console.error)},onError:E=>{if(this.setStreamingActive(!1),El(E)){g();return}console.error("Streaming error:",E),g();const S=rt.findMessageIndex(t.id);if(S!==-1){const C=rt.removeMessageAtIndex(S);C&&mr.deleteMessage(C.id).catch(console.error)}const w=E.contextInfo;this.showErrorDialog({type:E.name==="TimeoutError"?_c.TIMEOUT:_c.SERVER,message:E.message,contextInfo:w}),a&&a(E)}},v=rt.activeConversation?.mcpServerOverrides;qD.getConfig(An(),v).enabled&&(await qD.runAgenticFlow({conversationId:h,messages:e,options:{...this.getApiOptions(),...s?{model:s}:{}},callbacks:_,signal:b.signal,perChatOverrides:v})).handled||await rs.sendMessage(e,{...this.getApiOptions(),...s?{model:s}:{},stream:!0,onChunk:_.onChunk,onReasoningChunk:_.onReasoningChunk,onModel:_.onModel,onTimings:_.onTimings,onComplete:async(E,S,w,C)=>{const x=l||E||"",N=c||S,I={content:x,reasoningContent:N||void 0,toolCalls:C||"",timings:w};u&&!d&&(I.model=u),await mr.updateMessage(o,I);const D=rt.findMessageIndex(o),V={content:x,reasoningContent:N||void 0,toolCalls:C||""};w&&(V.timings=w),u&&(V.model=u),rt.updateMessageAtIndex(D,V),await rt.updateCurrentNode(o),g(),n&&await n(x),xs()&&rr.fetchRouterModels().catch(console.error)},onError:_.onError},h,b.signal)}async stopGeneration(){const e=rt.activeConversation;e&&await this.stopGenerationForChat(e.id)}async stopGenerationForChat(e){await this.savePartialResponseIfNeeded(e),this.setStreamingActive(!1),this.abortRequest(e),this.setChatLoading(e,!1),this.clearChatStreaming(e),this.setProcessingState(e,null)}async savePartialResponseIfNeeded(e){const t=e||rt.activeConversation?.id;if(!t)return;const n=this.getChatStreaming(t);if(!n||!n.response.trim())return;const a=t===rt.activeConversation?.id?rt.activeMessages:await rt.getConversationMessages(t);if(!a.length)return;const i=a[a.length-1];if(i?.role===Jt.ASSISTANT)try{const s={content:n.response},o=this.getProcessingState(t);o&&(s.timings={prompt_n:o.promptTokens||0,prompt_ms:o.promptMs,predicted_n:o.tokensDecoded||0,cache_n:o.cacheTokens||0,predicted_ms:o.tokensPerSecond&&o.tokensDecoded?o.tokensDecoded/o.tokensPerSecond*1e3:void 0}),await mr.updateMessage(i.id,s),i.content=n.response,s.timings&&(i.timings=s.timings)}catch(s){i.content=n.response,console.error("Failed to save partial response:",s)}}async updateMessage(e,t){const n=rt.activeConversation;if(!n)return;this.isChatLoadingInternal(n.id)&&await this.stopGeneration();const a=this.getMessageByIdWithRole(e,Jt.USER);if(!a)return;const{message:i,index:s}=a,o=i.content;try{const c=(await rt.getConversationMessages(n.id)).find(p=>p.type==="root"&&p.parent===null),u=c&&i.parent===c.id;rt.updateMessageAtIndex(s,{content:t}),await mr.updateMessage(e,{content:t}),u&&t.trim()&&await rt.updateConversationTitleWithConfirmation(n.id,t.trim());const d=rt.activeMessages.slice(s+1);for(const p of d)await mr.deleteMessage(p.id);rt.sliceActiveMessages(s+1),rt.updateConversationTimestamp(),this.setChatLoading(n.id,!0),this.clearChatStreaming(n.id);const h=await this.createAssistantMessage();rt.addMessageToActive(h),await rt.updateCurrentNode(h.id),await this.streamChatCompletion(rt.activeMessages.slice(0,-1),h,void 0,()=>{rt.updateMessageAtIndex(rt.findMessageIndex(e),{content:o})})}catch(l){El(l)||console.error("Failed to update message:",l)}}async regenerateMessage(e){const t=rt.activeConversation;if(!t||this.isChatLoadingInternal(t.id))return;const n=this.getMessageByIdWithRole(e,Jt.ASSISTANT);if(!n)return;const{index:a}=n;try{const i=rt.activeMessages.slice(a);for(const l of i)await mr.deleteMessage(l.id);rt.sliceActiveMessages(a),rt.updateConversationTimestamp(),this.setChatLoading(t.id,!0),this.clearChatStreaming(t.id);const s=rt.activeMessages.length>0?rt.activeMessages[rt.activeMessages.length-1].id:void 0,o=await this.createAssistantMessage(s);rt.addMessageToActive(o),await this.streamChatCompletion(rt.activeMessages.slice(0,-1),o)}catch(i){El(i)||console.error("Failed to regenerate message:",i),this.setChatLoading(t?.id||"",!1)}}async regenerateMessageWithBranching(e,t){const n=rt.activeConversation;if(!(!n||this.isChatLoadingInternal(n.id)))try{const a=rt.findMessageIndex(e);if(a===-1)return;const i=rt.activeMessages[a];if(i.role!==Jt.ASSISTANT)return;const s=await rt.getConversationMessages(n.id),o=Rh(s,i.parent);if(!o)return;this.setChatLoading(n.id,!0),this.clearChatStreaming(n.id);const l=await mr.createMessageBranch({convId:i.convId,type:i.type,timestamp:Date.now(),role:i.role,content:"",toolCalls:"",children:[],model:null},o.id);await rt.updateCurrentNode(l.id),rt.updateConversationTimestamp(),await rt.refreshActiveMessages();const c=uf(s,o.id,!1),u=t||i.model||void 0;await this.streamChatCompletion(c,l,void 0,void 0,u)}catch(a){El(a)||console.error("Failed to regenerate message with branching:",a),this.setChatLoading(n?.id||"",!1)}}async getDeletionInfo(e){const t=rt.activeConversation;if(!t)return{totalCount:0,userMessages:0,assistantMessages:0,messageTypes:[]};const n=await rt.getConversationMessages(t.id);if(Rh(n,e)?.role===Jt.SYSTEM){const d=n.filter(g=>g.id===e);let h=0,p=0;const m=[];for(const g of d)g.role===Jt.USER?(h++,m.includes("user message")||m.push("user message")):g.role===Jt.ASSISTANT&&(p++,m.includes("assistant response")||m.push("assistant response"));return{totalCount:1,userMessages:h,assistantMessages:p,messageTypes:m}}const i=l$(n,e),s=[e,...i],o=n.filter(d=>s.includes(d.id));let l=0,c=0;const u=[];for(const d of o)d.role===Jt.USER?(l++,u.includes("user message")||u.push("user message")):d.role===Jt.ASSISTANT&&(c++,u.includes("assistant response")||u.push("assistant response"));return{totalCount:s.length,userMessages:l,assistantMessages:c,messageTypes:u}}async deleteMessage(e){const t=rt.activeConversation;if(t)try{const n=await rt.getConversationMessages(t.id),a=Rh(n,e);if(!a)return;if(uf(n,t.currNode||"",!1).some(o=>o.id===e)&&a.parent){const o=n.filter(l=>l.parent===a.parent&&l.id!==e);if(o.length>0){const l=o.reduce((c,u)=>u.timestamp>c.timestamp?u:c);await rt.updateCurrentNode(cb(n,l.id))}else a.parent&&await rt.updateCurrentNode(cb(n,a.parent))}await mr.deleteMessageCascading(t.id,e),await rt.refreshActiveMessages(),rt.updateConversationTimestamp()}catch(n){console.error("Failed to delete message:",n)}}async continueAssistantMessage(e){const t=rt.activeConversation;if(!t||this.isChatLoadingInternal(t.id))return;const n=this.getMessageByIdWithRole(e,Jt.ASSISTANT);if(!n)return;const{message:a,index:i}=n;try{this.showErrorDialog(null),this.setChatLoading(t.id,!0),this.clearChatStreaming(t.id);const s=await rt.getConversationMessages(t.id),o=Rh(s,e);if(!o){this.setChatLoading(t.id,!1);return}const l=o.content,c=o.reasoningContent||"",d=[...rt.activeMessages.slice(0,i),{role:Jt.ASSISTANT,content:l}];let h="",p="",m=!1;const g=_=>{this.setChatStreaming(a.convId,_,a.id),rt.updateMessageAtIndex(i,{content:_})},b=this.getOrCreateAbortController(a.convId);await rs.sendMessage(d,{...this.getApiOptions(),onChunk:_=>{h+=_,m=!0,g(l+h)},onReasoningChunk:_=>{p+=_,m=!0,rt.updateMessageAtIndex(i,{reasoningContent:c+p})},onTimings:(_,v)=>{const y=_?.predicted_ms&&_?.predicted_n?_.predicted_n/_.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:_?.prompt_n||0,prompt_ms:_?.prompt_ms,predicted_n:_?.predicted_n||0,predicted_per_second:y,cache_n:_?.cache_n||0,prompt_progress:v},a.convId)},onComplete:async(_,v,y)=>{const E=m?h:_||"",S=m?p:v||"",w=l+E,C=c+S||void 0;await mr.updateMessage(a.id,{content:w,reasoningContent:C,timestamp:Date.now(),timings:y}),rt.updateMessageAtIndex(i,{content:w,reasoningContent:C,timestamp:Date.now(),timings:y}),rt.updateConversationTimestamp(),this.setChatLoading(a.convId,!1),this.clearChatStreaming(a.convId),this.setProcessingState(a.convId,null)},onError:async _=>{if(El(_)){m&&h&&(await mr.updateMessage(a.id,{content:l+h,reasoningContent:c+p||void 0,timestamp:Date.now()}),rt.updateMessageAtIndex(i,{content:l+h,reasoningContent:c+p||void 0,timestamp:Date.now()})),this.setChatLoading(a.convId,!1),this.clearChatStreaming(a.convId),this.setProcessingState(a.convId,null);return}console.error("Continue generation error:",_),rt.updateMessageAtIndex(i,{content:l}),await mr.updateMessage(a.id,{content:l}),this.setChatLoading(a.convId,!1),this.clearChatStreaming(a.convId),this.setProcessingState(a.convId,null),this.showErrorDialog({type:_.name==="TimeoutError"?_c.TIMEOUT:_c.SERVER,message:_.message})}},a.convId,b.signal)}catch(s){El(s)||console.error("Failed to continue message:",s),t&&this.setChatLoading(t.id,!1)}}async editAssistantMessage(e,t,n){const a=rt.activeConversation;if(!a||this.isChatLoadingInternal(a.id))return;const i=this.getMessageByIdWithRole(e,Jt.ASSISTANT);if(!i)return;const{message:s,index:o}=i;try{if(n){const l=await mr.createMessageBranch({convId:s.convId,type:s.type,timestamp:Date.now(),role:s.role,content:t,toolCalls:s.toolCalls||"",children:[],model:s.model},s.parent);await rt.updateCurrentNode(l.id)}else await mr.updateMessage(s.id,{content:t}),rt.updateMessageAtIndex(o,{content:t});rt.updateConversationTimestamp(),await rt.refreshActiveMessages()}catch(l){console.error("Failed to edit assistant message:",l)}}async editUserMessagePreserveResponses(e,t,n){const a=rt.activeConversation;if(!a)return;const i=this.getMessageByIdWithRole(e,Jt.USER);if(!i)return;const{message:s,index:o}=i;try{const l={content:t};n!==void 0&&(l.extra=JSON.parse(JSON.stringify(n))),await mr.updateMessage(e,l),rt.updateMessageAtIndex(o,l);const u=(await rt.getConversationMessages(a.id)).find(d=>d.type==="root"&&d.parent===null);u&&s.parent===u.id&&t.trim()&&await rt.updateConversationTitleWithConfirmation(a.id,t.trim()),rt.updateConversationTimestamp()}catch(l){console.error("Failed to edit user message:",l)}}async editMessageWithBranching(e,t,n){const a=rt.activeConversation;if(!a||this.isChatLoadingInternal(a.id))return;let i=this.getMessageByIdWithRole(e,Jt.USER);if(i||(i=this.getMessageByIdWithRole(e,Jt.SYSTEM)),!i)return;const{message:s,index:o}=i;try{const l=await rt.getConversationMessages(a.id),c=l.find(g=>g.type==="root"&&g.parent===null),u=s.role===Jt.USER&&c&&s.parent===c.id,d=n!==void 0?JSON.parse(JSON.stringify(n)):s.extra?JSON.parse(JSON.stringify(s.extra)):void 0;let h;const p=Rh(l,s.id);if(p?p.children.length>0:s.children.length>0){const g=s.parent||c?.id;if(!g)return;const b=await mr.createMessageBranch({convId:s.convId,type:s.type,timestamp:Date.now(),role:s.role,content:t,toolCalls:s.toolCalls||"",children:[],extra:d,model:s.model},g);await rt.updateCurrentNode(b.id),h=b.id}else{const g={content:t,timestamp:Date.now(),extra:d};await mr.updateMessage(s.id,g),rt.updateMessageAtIndex(o,g),h=s.id}rt.updateConversationTimestamp(),u&&t.trim()&&await rt.updateConversationTitleWithConfirmation(a.id,t.trim()),await rt.refreshActiveMessages(),s.role===Jt.USER&&await this.generateResponseForMessage(h)}catch(l){console.error("Failed to edit message with branching:",l)}}async generateResponseForMessage(e){const t=rt.activeConversation;if(t){this.showErrorDialog(null),this.setChatLoading(t.id,!0),this.clearChatStreaming(t.id);try{const n=await rt.getConversationMessages(t.id),a=uf(n,e,!1),i=await mr.createMessageBranch({convId:t.id,type:Tl.TEXT,timestamp:Date.now(),role:Jt.ASSISTANT,content:"",toolCalls:"",children:[],model:null},e);rt.addMessageToActive(i),await this.streamChatCompletion(a,i)}catch(n){console.error("Failed to generate response:",n),this.setChatLoading(t.id,!1)}}}getContextTotal(){const e=this.activeConversationId,t=e?this.getProcessingState(e):null;if(t&&typeof t.contextTotal=="number"&&t.contextTotal>0)return t.contextTotal;if(xs()){const n=Hye();if(typeof n=="number"&&n>0)return n}else{const n=Cae();if(typeof n=="number"&&n>0)return n}return null}updateProcessingStateFromTimings(e,t){const n=this.parseTimingData(e);if(n===null){console.warn("Failed to parse timing data - skipping update");return}const a=t||this.activeConversationId;a&&this.setProcessingState(a,n)}parseTimingData(e){const t=e.prompt_n||0,n=e.prompt_ms||void 0,a=e.predicted_n||0,i=e.predicted_per_second||0,s=e.cache_n||0,o=e.prompt_progress,l=this.getContextTotal(),c=An(),u=c.max_tokens||-1,d=t+s+a,h=a,p=o?.cache||0,m=(o?.processed??0)-p,g=(o?.total??0)-p,b=o?Math.round(m/g*100):void 0;return{status:a>0?"generating":o?"preparing":"idle",tokensDecoded:a,tokensRemaining:u-a,contextUsed:d,contextTotal:l,outputTokensUsed:h,outputTokensMax:u,hasNextToken:a>0,tokensPerSecond:i,temperature:c.temperature??.8,topP:c.top_p??.95,speculative:!1,progressPercent:b,promptProgress:o,promptTokens:t,promptMs:n,cacheTokens:s}}restoreProcessingStateFromMessages(e,t){for(let n=e.length-1;n>=0;n--){const a=e[n];if(a.role===Jt.ASSISTANT&&a.timings){const 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-				conversation history.</p> <!> <!></div> <div class="grid border-t border-border/30 pt-4"><h4 class="mb-2 text-sm font-medium">Import Conversations</h4> <p class="mb-4 text-sm text-muted-foreground">Import one or more conversations from a previously exported JSON file. This will merge with
-				your existing conversations.</p> <!> <!></div> <div class="grid border-t border-border/30 pt-4"><h4 class="mb-2 text-sm font-medium text-destructive">Delete All Conversations</h4> <p class="mb-4 text-sm text-muted-foreground">Permanently delete all conversations and their messages. This action cannot be undone.
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+htmlEl.style.colorScheme="light",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.light)):(sanitizedLightClassNames.length&&htmlEl.classList.remove(...sanitizedLightClassNames),sanitizedDarkClassNames.length&&htmlEl.classList.add(...sanitizedDarkClassNames),htmlEl.style.colorScheme="dark",themeColorEl&&themeColors.current&&themeColorEl.setAttribute("content",themeColors.current.dark))}return disableTransitions.current?withoutTransition(update2,synchronousModeChanges.
+current):update2(),derivedMode2});return{get current(){return get$3(current2)}}}function createDerivedTheme(){const current2=user_derived(()=>{if(customTheme.current,!isBrowser)return;function update2(){document.documentElement.setAttribute("data-theme",customTheme.current)}return disableTransitions.current?withoutTransition(update2,untrack$1(()=>synchronousModeChanges.current)):update2(),customTheme.current});return{get current(){return get$3(current2)}}}const derivedMode=createDerivedMode(),derivedTheme=createDerivedTheme();
+function setMode(mode){userPrefersMode.current=mode}function setTheme(newTheme){customTheme.current=newTheme}function setInitialMode({defaultMode="system",themeColors:themeColors2,darkClassNames:darkClassNames2=["dark"],lightClassNames:lightClassNames2=[],defaultTheme="",modeStorageKey:modeStorageKey2="mode-watcher-mode",themeStorageKey:themeStorageKey2="mode-watcher-theme"}){const rootEl=document.documentElement,mode=localStorage.getItem(modeStorageKey2)??defaultMode,theme=localStorage.getItem(themeStorageKey2)??defaultTheme,light=mode==="light"||mode==="system"&&window.matchMedia("(prefers-color-sche\
+me: light)").matches;if(light?(darkClassNames2.length&&rootEl.classList.remove(...darkClassNames2.filter(Boolean)),lightClassNames2.length&&rootEl.classList.add(...lightClassNames2.filter(Boolean))):(lightClassNames2.length&&rootEl.classList.remove(...lightClassNames2.filter(Boolean)),darkClassNames2.length&&rootEl.classList.add(...darkClassNames2.filter(Boolean))),rootEl.style.colorScheme=light?"light":"dark",themeColors2){const themeMetaEl=document.querySelector('meta[name="theme-color"]');themeMetaEl&&
+themeMetaEl.setAttribute("content",mode==="light"?themeColors2.light:themeColors2.dark)}theme&&(rootEl.setAttribute("data-theme",theme),localStorage.setItem(themeStorageKey2,theme)),localStorage.setItem(modeStorageKey2,mode)}var root_1$14=from_html('<meta name="theme-color"/>');function Mode_watcher_lite($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var meta=root_1$14();template_effect(()=>set_attribute(meta,"content",$$props.
+themeColors.dark)),append($$anchor2,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_2$19=from_html('<meta name="theme-color"/>'),root_1$13=from_html("<!> <!>",1);function Mode_watcher_full($$anchor,$$props){push$1($$props,!0);let trueNonce=prop($$props,"trueNonce",3,"");head$1("1funsus",$$anchor2=>{var fragment=root_1$13(),node2=first_child(fragment);{var consequent=$$anchor3=>{var meta=root_2$19();template_effect(()=>set_attribute(
+meta,"content",$$props.themeColors.dark)),append($$anchor3,meta)};if_block(node2,$$render=>{$$props.themeColors&&$$render(consequent)})}var node_1=sibling(node2,2);html$6(node_1,()=>`<script${trueNonce()?` nonce=${trueNonce()}`:""}>(`+setInitialMode.toString()+")("+JSON.stringify($$props.initConfig)+");<\/script>"),append($$anchor2,fragment)}),pop()}function Mode_watcher($$anchor,$$props){push$1($$props,!0);let track2=prop($$props,"track",3,!0),defaultMode=prop($$props,"defaultMode",3,"system"),
+disableTransitionsProp=prop($$props,"disableTransitions",3,!0),darkClassNamesProp=prop($$props,"darkClassNames",19,()=>["dark"]),lightClassNamesProp=prop($$props,"lightClassNames",19,()=>[]),defaultTheme=prop($$props,"defaultTheme",3,""),nonce=prop($$props,"nonce",3,""),themeStorageKeyProp=prop($$props,"themeStorageKey",3,"mode-watcher-theme"),modeStorageKeyProp=prop($$props,"modeStorageKey",3,"mode-watcher-mode"),disableHeadScriptInjection=prop($$props,"disableHeadScriptInjection",3,!1),synchronousModeChangesProp=prop(
+$$props,"synchronousModeChanges",3,!1);modeStorageKey.current=modeStorageKeyProp(),themeStorageKey.current=themeStorageKeyProp(),darkClassNames.current=darkClassNamesProp(),lightClassNames.current=lightClassNamesProp(),disableTransitions.current=disableTransitionsProp(),themeColors.current=$$props.themeColors,synchronousModeChanges.current=synchronousModeChangesProp(),user_pre_effect(()=>{synchronousModeChanges.current=synchronousModeChangesProp()}),user_pre_effect(()=>{disableTransitions.current=
+disableTransitionsProp()}),user_pre_effect(()=>{themeColors.current=$$props.themeColors}),user_pre_effect(()=>{darkClassNames.current=darkClassNamesProp()}),user_pre_effect(()=>{lightClassNames.current=lightClassNamesProp()}),user_pre_effect(()=>{modeStorageKey.current=modeStorageKeyProp()}),user_pre_effect(()=>{themeStorageKey.current=themeStorageKeyProp()}),user_pre_effect(()=>{derivedMode.current,modeStorageKey.current,themeStorageKey.current,derivedTheme.current}),onMount$1(()=>{systemPrefersMode.
+tracking(track2()),systemPrefersMode.query();const localStorageMode=localStorage.getItem(modeStorageKey.current);setMode(isValidMode(localStorageMode)?localStorageMode:defaultMode());const localStorageTheme=localStorage.getItem(themeStorageKey.current);setTheme(localStorageTheme||defaultTheme())});const initConfig={defaultMode:defaultMode(),themeColors:$$props.themeColors,darkClassNames:darkClassNamesProp(),lightClassNames:lightClassNamesProp(),defaultTheme:defaultTheme(),modeStorageKey:modeStorageKeyProp(),
+themeStorageKey:themeStorageKeyProp()},trueNonce=user_derived(()=>typeof window>"u"?nonce():"");var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{Mode_watcher_lite($$anchor2,{get themeColors(){return themeColors.current}})},alternate=$$anchor2=>{Mode_watcher_full($$anchor2,{get trueNonce(){return get$3(trueNonce)},get initConfig(){return initConfig},get themeColors(){return themeColors.current}})};if_block(node2,$$render=>{disableHeadScriptInjection()?$$render(consequent):
+$$render(alternate,-1)})}append($$anchor,fragment),pop()}class MCPStore{#_isInitializing=state$1(!1);get _isInitializing(){return get$3(this.#_isInitializing)}set _isInitializing(value){set$1(this.#_isInitializing,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_toolCount=state$1(0);get _toolCount(){return get$3(this.#_toolCount)}set _toolCount(value){set$1(this.#_toolCount,value,!0)}#_connectedServers=state$1(proxy([]));get _connectedServers(){
+return get$3(this.#_connectedServers)}set _connectedServers(value){set$1(this.#_connectedServers,value,!0)}#_healthChecks=state$1(proxy({}));get _healthChecks(){return get$3(this.#_healthChecks)}set _healthChecks(value){set$1(this.#_healthChecks,value,!0)}#_proxyAvailable=state$1(!1);get _proxyAvailable(){return get$3(this.#_proxyAvailable)}set _proxyAvailable(value){set$1(this.#_proxyAvailable,value,!0)}connections=new Map;toolsIndex=new Map;serverConfigs=new Map;reconnectingServers=new Set;configSignature=null;initPromise=null;activeFlowCount=0;constructor(){
+this.probeProxy()}async probeProxy(){try{const response=await fetch(`${base}${CORS_PROXY_ENDPOINT}`,{method:"HEAD"});this._proxyAvailable=response.status!==404}catch{this._proxyAvailable=!1}}get isProxyAvailable(){return this._proxyAvailable}#generateServerId(id2,index2){return typeof id2=="string"&&id2.trim()?id2.trim():`${MCP_SERVER_ID_PREFIX}-${index2+1}`}#parseServerSettings(rawServers){if(!rawServers)return[];let parsed;if(typeof rawServers=="string"){const trimmed=rawServers.trim();if(!trimmed)
+return[];try{parsed=JSON.parse(trimmed)}catch(error2){return console.warn("[MCP] Failed to parse mcpServers JSON:",error2),[]}}else parsed=rawServers;return Array.isArray(parsed)?parsed.map((entry,index2)=>{const url2=typeof entry?.url=="string"?entry.url.trim():"",headers=typeof entry?.headers=="string"?entry.headers.trim():void 0;return{id:this.#generateServerId(entry?.id,index2),enabled:!!entry?.enabled,url:url2,name:entry?.name,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,headers:headers||
+void 0,useProxy:!!entry?.useProxy}}):[]}#buildServerConfig(entry,connectionTimeoutMs=DEFAULT_MCP_CONFIG.connectionTimeoutMs){if(!entry?.url)return;let headers;if(entry.headers)try{const parsed=JSON.parse(entry.headers);typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed)&&(headers=parsed)}catch{console.warn("[MCP] Failed to parse custom headers JSON:",entry.headers)}return{url:entry.url,transport:detectMcpTransportFromUrl(entry.url),handshakeTimeoutMs:connectionTimeoutMs,requestTimeoutMs:Math.
+round(entry.requestTimeoutSeconds*1e3),headers,useProxy:entry.useProxy}}#checkServerEnabled(server,perChatOverrides){return perChatOverrides?.find(o=>o.serverId===server.id)?.enabled??!1}#buildMcpClientConfig(cfg,perChatOverrides){const rawServers=this.#parseServerSettings(cfg.mcpServers);if(!rawServers.length)return;const servers={};for(const[index2,entry]of rawServers.entries()){if(!this.#checkServerEnabled(entry,perChatOverrides))continue;const normalized=this.#buildServerConfig(entry);normalized&&
+(servers[this.#generateServerId(entry.id,index2)]=normalized)}if(Object.keys(servers).length!==0)return{protocolVersion:DEFAULT_MCP_CONFIG.protocolVersion,capabilities:DEFAULT_MCP_CONFIG.capabilities,clientInfo:DEFAULT_MCP_CONFIG.clientInfo,requestTimeoutMs:Math.round(DEFAULT_MCP_CONFIG.requestTimeoutSeconds*1e3),servers}}#buildCapabilitiesInfo(serverCaps,clientCaps){return{server:{tools:serverCaps?.tools?{listChanged:serverCaps.tools.listChanged}:void 0,prompts:serverCaps?.prompts?{listChanged:serverCaps.
+prompts.listChanged}:void 0,resources:serverCaps?.resources?{subscribe:serverCaps.resources.subscribe,listChanged:serverCaps.resources.listChanged}:void 0,logging:!!serverCaps?.logging,completions:!!serverCaps?.completions,tasks:!!serverCaps?.tasks},client:{roots:clientCaps?.roots?{listChanged:clientCaps.roots.listChanged}:void 0,sampling:!!clientCaps?.sampling,elicitation:clientCaps?.elicitation?{form:!!clientCaps.elicitation.form,url:!!clientCaps.elicitation.url}:void 0,tasks:!!clientCaps?.tasks}}}get isInitializing(){
+return this._isInitializing}get isInitialized(){return this.connections.size>0}get error(){return this._error}get toolCount(){return this._toolCount}get connectedServerCount(){return this._connectedServers.length}get connectedServerNames(){return this._connectedServers}get isEnabled(){const mcpConfig=this.#buildMcpClientConfig(config$1());return mcpConfig!=null&&Object.keys(mcpConfig.servers).length>0}get availableTools(){return Array.from(this.toolsIndex.keys())}updateState(state2){state2.isInitializing!==
+void 0&&(this._isInitializing=state2.isInitializing),state2.error!==void 0&&(this._error=state2.error),state2.toolCount!==void 0&&(this._toolCount=state2.toolCount),state2.connectedServers!==void 0&&(this._connectedServers=state2.connectedServers)}updateHealthCheck(serverId,state2){this._healthChecks={...this._healthChecks,[serverId]:state2}}getHealthCheckState(serverId){return this._healthChecks[serverId]??{status:HealthCheckStatus.IDLE}}hasHealthCheck(serverId){return serverId in this._healthChecks&&
+this._healthChecks[serverId].status!==HealthCheckStatus.IDLE}clearHealthCheck(serverId){const{[serverId]:_removed,...rest}=this._healthChecks;this._healthChecks=rest}clearAllHealthChecks(){this._healthChecks={}}clearError(){this._error=null}getServers(){return parseMcpServerSettings(config$1().mcpServers)}getConnections(){return this.connections}getServerLabel(server){const healthState=this.getHealthCheckState(server.id);return healthState?.status===HealthCheckStatus.SUCCESS&&(healthState.serverInfo?.
+title||healthState.serverInfo?.name||server.name)||server.url}getServerById(serverId){return this.getServers().find(s2=>s2.id===serverId)}getServerDisplayName(serverId){const server=this.getServerById(serverId);return server?this.getServerLabel(server):serverId}#isValidIconUri(src){try{return src.startsWith(UrlProtocol.DATA)?!0:new URL(src).protocol===UrlProtocol.HTTPS}catch{return!1}}#getMcpIconUrl(icons,isDark=!1){if(!icons?.length)return null;const validIcons=icons.filter(icon=>!(!icon.src||!this.#isValidIconUri(
+icon.src)||icon.mimeType&&!MCP_ALLOWED_ICON_MIME_TYPES.has(icon.mimeType)));if(validIcons.length===0)return null;const preferredTheme=isDark?ColorMode.DARK:ColorMode.LIGHT,themedIcon=validIcons.find(icon=>icon.theme===preferredTheme);if(themedIcon)return themedIcon.src;const universalIcons=validIcons.filter(icon=>!icon.theme);return universalIcons.length===EXPECTED_THEMED_ICON_PAIR_COUNT?universalIcons[isDark?1:0].src:universalIcons.length>0?universalIcons[0].src:validIcons[0].src}getServerFavicon(serverId){
+const server=this.getServerById(serverId);if(!server)return null;const isDark=derivedMode.current===ColorMode.DARK,healthState=this.getHealthCheckState(serverId);if(healthState.status===HealthCheckStatus.SUCCESS&&healthState.serverInfo?.icons){const mcpIconUrl=this.#getMcpIconUrl(healthState.serverInfo.icons,isDark);if(mcpIconUrl)return mcpIconUrl}const fallbackUrl=this.#getServerFaviconFallback(server.url);return fallbackUrl||null}#getServerFaviconFallback(serverUrl){try{const url2=new URL(serverUrl),
+rootDomain=extractRootDomain(url2);if(!rootDomain)return null;const origin2=`${url2.protocol}//${rootDomain}`,candidates=["favicon.ico","favicon.svg","favicon.png"];for(const path2 of candidates){const faviconUrl=`${origin2}/${path2}`;if(this.#isValidIconUri(faviconUrl))return faviconUrl}}catch{}return null}isAnyServerLoading(){return this.getServers().some(s2=>{const state2=this.getHealthCheckState(s2.id);return state2.status===HealthCheckStatus.IDLE||state2.status===HealthCheckStatus.CONNECTING})}getServersSorted(){
+const servers=this.getServers();return this.isAnyServerLoading()?servers:[...servers].sort((a,b)=>this.getServerLabel(a).localeCompare(this.getServerLabel(b)))}addServer(serverData){const servers=this.getServers(),newServer={id:serverData.id||(uuid$1()??`server-${Date.now()}`),enabled:serverData.enabled,url:serverData.url.trim(),name:serverData.name,headers:serverData.headers?.trim()||void 0,requestTimeoutSeconds:DEFAULT_MCP_CONFIG.requestTimeoutSeconds,useProxy:serverData.useProxy};settingsStore.
+updateConfig("mcpServers",JSON.stringify([...servers,newServer]))}updateServer(id2,updates){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.map(server=>server.id===id2?{...server,...updates}:server)))}removeServer(id2){const servers=this.getServers();settingsStore.updateConfig("mcpServers",JSON.stringify(servers.filter(s2=>s2.id!==id2))),this.clearHealthCheck(id2)}hasAvailableServers(){return parseMcpServerSettings(config$1().mcpServers).some(s2=>s2.
+enabled&&s2.url.trim())}hasEnabledServers(perChatOverrides){return!!this.#buildMcpClientConfig(config$1(),perChatOverrides)}getEnabledServersForConversation(perChatOverrides){return this.getServers().filter(server=>this.#checkServerEnabled(server,perChatOverrides))}async ensureInitialized(perChatOverrides){const mcpConfig=this.#buildMcpClientConfig(config$1(),perChatOverrides),signature=mcpConfig?JSON.stringify(mcpConfig):null;return signature?this.isInitialized&&this.configSignature===signature?
+!0:this.initPromise&&this.configSignature===signature?this.initPromise:((this.connections.size>0||this.initPromise)&&await this.shutdown(),this.initialize(signature,mcpConfig)):(await this.shutdown(),!1)}async initialize(signature,mcpConfig){this.updateState({isInitializing:!0,error:null}),this.configSignature=signature;const serverEntries=Object.entries(mcpConfig.servers);return serverEntries.length===0?(this.updateState({isInitializing:!1,toolCount:0,connectedServers:[]}),!1):(this.initPromise=
+this.doInitialize(signature,mcpConfig,serverEntries),this.initPromise)}async doInitialize(signature,mcpConfig,serverEntries){const clientInfo=mcpConfig.clientInfo??DEFAULT_MCP_CONFIG.clientInfo,capabilities=mcpConfig.capabilities??DEFAULT_MCP_CONFIG.capabilities,results=await Promise.allSettled(serverEntries.map(async([name,serverConfig])=>{this.serverConfigs.set(name,serverConfig);const listChangedHandlers=this.createListChangedHandlers(name),connection=await MCPService.connect(name,serverConfig,
+clientInfo,capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${name}] Connection lost, starting auto-reconnect`),this.autoReconnect(name))},listChangedHandlers);return{name,connection}}));if(this.configSignature!==signature){for(const result of results)result.status==="fulfilled"&&await MCPService.disconnect(result.value.connection).catch(console.warn);return!1}for(const result of results)if(result.status==="fulfilled"){const{name,connection}=result.value;this.
+connections.set(name,connection);for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${name}". Using tool from "${name}".`),this.toolsIndex.set(tool.name,name)}else console.error("[MCPStore] Failed to connect:",result.reason);return this.connections.size===0&&serverEntries.length>0?(this.updateState({isInitializing:!1,error:"All MCP server connections failed",toolCount:0,
+connectedServers:[]}),this.initPromise=null,!1):(this.updateState({isInitializing:!1,error:null,toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())}),this.initPromise=null,!0)}createListChangedHandlers(serverName){return{tools:{onChanged:(error2,tools)=>{if(error2){console.warn(`[MCPStore][${serverName}] Tools list changed error:`,error2);return}this.handleToolsListChanged(serverName,tools??[])}},prompts:{onChanged:error2=>{if(error2){console.warn(`[MCPStore][${serverName}\
+] Prompts list changed error:`,error2);return}}}}}handleToolsListChanged(serverName,tools){const connection=this.connections.get(serverName);if(connection){for(const[toolName,ownerServer]of this.toolsIndex.entries())ownerServer===serverName&&this.toolsIndex.delete(toolName);connection.tools=tools;for(const tool of tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict after list change: "${tool.name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverName}". U\
+sing tool from "${serverName}".`),this.toolsIndex.set(tool.name,serverName);this.updateState({toolCount:this.toolsIndex.size})}}acquireConnection(){this.activeFlowCount++}async releaseConnection(shutdownIfUnused=!1){this.activeFlowCount=Math.max(0,this.activeFlowCount-1),shutdownIfUnused&&this.activeFlowCount===0&&await this.shutdown()}getActiveFlowCount(){return this.activeFlowCount}async shutdown(){this.initPromise&&(await this.initPromise.catch(()=>{}),this.initPromise=null),this.connections.
+size!==0&&(await Promise.all(Array.from(this.connections.values()).map(conn=>MCPService.disconnect(conn).catch(error2=>console.warn(`[MCPStore] Error disconnecting ${conn.serverName}:`,error2)))),this.connections.clear(),this.toolsIndex.clear(),this.serverConfigs.clear(),this.configSignature=null,this.updateState({isInitializing:!1,error:null,toolCount:0,connectedServers:[]}))}async reconnectServer(serverName){const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig)throw new Error(
+`[MCPStore] No config found for ${serverName}, cannot reconnect`);const oldConnection=this.connections.get(serverName);oldConnection&&(await MCPService.disconnect(oldConnection).catch(console.warn),this.connections.delete(serverName)),console.log(`[MCPStore][${serverName}] Session expired, reconnecting with fresh session...`);const listChangedHandlers=this.createListChangedHandlers(serverName),connection=await MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.
+capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(console.log(`[MCPStore][${serverName}] Connection lost, starting auto-reconnect`),this.autoReconnect(serverName))},listChangedHandlers);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Session recovered successfully`)}async autoReconnect(serverName){if(this.reconnectingServers.has(serverName)){console.log(`[MCPStore][${serverName}\
+] Reconnection already in progress, skipping`);return}const serverConfig=this.serverConfigs.get(serverName);if(!serverConfig){console.error(`[MCPStore] No config found for ${serverName}, cannot reconnect`);return}this.reconnectingServers.add(serverName);let backoff=MCP_RECONNECT_INITIAL_DELAY,needsReconnect=!1;try{for(;;){await new Promise(resolve2=>setTimeout(resolve2,backoff)),console.log(`[MCPStore][${serverName}] Auto-reconnecting...`);try{const timeoutPromise=new Promise((_,reject)=>setTimeout(
+()=>reject(new Error(`Reconnect attempt timed out after ${MCP_RECONNECT_ATTEMPT_TIMEOUT_MS}ms`)),MCP_RECONNECT_ATTEMPT_TIMEOUT_MS));needsReconnect=!1;const listChangedHandlers=this.createListChangedHandlers(serverName),connectPromise=MCPService.connect(serverName,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,phase=>{phase===MCPConnectionPhase.DISCONNECTED&&(this.reconnectingServers.has(serverName)?needsReconnect=!0:(console.log(`[MCPStore][${serverName}] Connection l\
+ost, restarting auto-reconnect`),this.autoReconnect(serverName)))},listChangedHandlers),connection=await Promise.race([connectPromise,timeoutPromise]);this.connections.set(serverName,connection);for(const tool of connection.tools)this.toolsIndex.set(tool.name,serverName);console.log(`[MCPStore][${serverName}] Reconnected successfully`);break}catch(error2){console.warn(`[MCPStore][${serverName}] Reconnection failed:`,error2),backoff=Math.min(backoff*MCP_RECONNECT_BACKOFF_MULTIPLIER,MCP_RECONNECT_MAX_DELAY)}}}finally{
+this.reconnectingServers.delete(serverName),needsReconnect&&(console.log(`[MCPStore][${serverName}] Deferred disconnect detected, restarting auto-reconnect`),this.autoReconnect(serverName))}}getToolDefinitionsForLLM(){const tools=[];for(const connection of this.connections.values())for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};tools.push({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,
+parameters:this.normalizeSchemaProperties(rawSchema)}})}return tools}normalizeSchemaProperties(schema){if(!schema||typeof schema!="object")return schema;const normalized={...schema};if(normalized.properties&&typeof normalized.properties=="object"){const props=normalized.properties,normalizedProps={};for(const[key2,prop2]of Object.entries(props)){if(!prop2||typeof prop2!="object"){normalizedProps[key2]=prop2;continue}const normalizedProp={...prop2};if(!normalizedProp.type&&normalizedProp.default!==
+void 0){const defaultVal=normalizedProp.default;typeof defaultVal=="string"?normalizedProp.type="string":typeof defaultVal=="number"?normalizedProp.type=Number.isInteger(defaultVal)?"integer":"number":typeof defaultVal=="boolean"?normalizedProp.type="boolean":Array.isArray(defaultVal)?normalizedProp.type="array":typeof defaultVal=="object"&&defaultVal!==null&&(normalizedProp.type="object")}normalizedProp.properties&&Object.assign(normalizedProp,this.normalizeSchemaProperties(normalizedProp)),normalizedProp.
+items&&typeof normalizedProp.items=="object"&&(normalizedProp.items=this.normalizeSchemaProperties(normalizedProp.items)),normalizedProps[key2]=normalizedProp}normalized.properties=normalizedProps}return normalized}getToolNames(){return Array.from(this.toolsIndex.keys())}hasTool(toolName){return this.toolsIndex.has(toolName)}getToolServer(toolName){return this.toolsIndex.get(toolName)}hasPromptsSupport(){for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts)
+return!0;return!1}hasPromptsCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&
+connection.serverCapabilities?.prompts)return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.prompts!==void 0)return!0;for(const connection of this.connections.values())if(connection.serverCapabilities?.prompts)return!0;return!1}async getAllPrompts(){const results=[];for(const[serverName,connection]of this.connections){if(!connection.serverCapabilities?.prompts)continue;const prompts=await MCPService.listPrompts(
+connection);for(const prompt of prompts)results.push({name:prompt.name,description:prompt.description,title:prompt.title,serverName,arguments:prompt.arguments?.map(arg=>({name:arg.name,description:arg.description,required:arg.required}))})}return results}async getPrompt(serverName,promptName,args){const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" not found for prompt "${promptName}"`);return MCPService.getPrompt(connection,promptName,args)}async executeTool(toolCall,signal){
+const toolName=toolCall.function.name,serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not connected`);const args=this.parseToolArguments(toolCall.function.arguments);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(
+serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}async executeToolByName(toolName,args,signal){const serverName=this.toolsIndex.get(toolName);if(!serverName)throw new Error(`Unknown tool: ${toolName}`);const connection=this.connections.get(serverName);if(!connection)throw new Error(`Server "${serverName}" is not \
+connected`);try{return await MCPService.callTool(connection,{name:toolName,arguments:args},signal)}catch(error2){if(MCPService.isSessionExpiredError(error2)){await this.reconnectServer(serverName);const newConnection=this.connections.get(serverName);if(!newConnection)throw new Error(`Failed to reconnect to "${serverName}"`);return MCPService.callTool(newConnection,{name:toolName,arguments:args},signal)}throw error2}}parseToolArguments(args){if(typeof args=="string"){const trimmed=args.trim();if(trimmed===
+"")return{};try{const parsed=JSON.parse(trimmed);if(typeof parsed!="object"||parsed===null||Array.isArray(parsed))throw new Error(`Tool arguments must be an object, got ${Array.isArray(parsed)?"array":typeof parsed}`);return parsed}catch(error2){throw new Error(`Failed to parse tool arguments as JSON: ${error2.message}`)}}if(typeof args=="object"&&args!==null&&!Array.isArray(args))return args;throw new Error(`Invalid tool arguments type: ${typeof args}`)}async getPromptCompletions(serverName,promptName,argumentName,argumentValue){
+const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.complete(connection,{type:MCPRefType.PROMPT,name:promptName},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async getResourceCompletions(serverName,uriTemplate,argumentName,argumentValue){const connection=this.connections.get(serverName);return connection?connection.serverCapabilities?.completions?MCPService.
+complete(connection,{type:MCPRefType.RESOURCE,uri:uriTemplate},{name:argumentName,value:argumentValue}):null:(console.warn(`[MCPStore] Server "${serverName}" is not connected`),null)}async readResourceByUri(serverName,uri2){const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),null;try{return(await MCPService.readResource(connection,uri2)).contents}catch(error2){return console.error(`[MCPStore] Failed to \
+read resource ${uri2}:`,error2),null}}parseHeaders(headersJson){if(headersJson?.trim())try{const parsed=JSON.parse(headersJson);if(typeof parsed=="object"&&parsed!==null&&!Array.isArray(parsed))return parsed}catch{console.warn("[MCPStore] Failed to parse custom headers JSON:",headersJson)}}async runHealthChecksForServers(servers,skipIfChecked=!0,promoteToActive=!1){const serversToCheck=skipIfChecked?servers.filter(s2=>!this.hasHealthCheck(s2.id)&&s2.url.trim()):servers.filter(s2=>s2.url.trim());
+if(serversToCheck.length===0)return;const BATCH_SIZE=5;for(let i=0;i<serversToCheck.length;i+=BATCH_SIZE){const batch=serversToCheck.slice(i,i+BATCH_SIZE);await Promise.allSettled(batch.map(server=>this.runHealthCheck(server,promoteToActive)))}}getExistingConnection(serverId){return this.connections.get(serverId)}async runHealthCheck(server,promoteToActive=!1){const existingConnection=this.connections.get(server.id);if(existingConnection)try{const tools=await MCPService.listTools(existingConnection),
+capabilities=this.#buildCapabilitiesInfo(existingConnection.serverCapabilities,existingConnection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools:tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),serverInfo:existingConnection.serverInfo,capabilities,transportType:existingConnection.transportType,protocolVersion:existingConnection.protocolVersion,instructions:existingConnection.instructions,connectionTimeMs:existingConnection.
+connectionTimeMs,logs:[]});return}catch(error2){console.warn(`[MCPStore] Failed to reuse connection for ${server.id}, creating new one:`,error2),this.connections.delete(server.id)}const trimmedUrl=server.url.trim(),logs=[];let currentPhase=MCPConnectionPhase.IDLE;if(!trimmedUrl){this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message:"Please enter a server URL first.",logs:[]});return}this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase:MCPConnectionPhase.
+TRANSPORT_CREATING,logs:[]});const timeoutMs=Math.round(server.requestTimeoutSeconds*1e3),headers=this.parseHeaders(server.headers);try{const serverConfig={url:trimmedUrl,transport:detectMcpTransportFromUrl(trimmedUrl),handshakeTimeoutMs:DEFAULT_MCP_CONFIG.connectionTimeoutMs,requestTimeoutMs:timeoutMs,headers,useProxy:server.useProxy};this.serverConfigs.set(server.id,serverConfig);const connection=await MCPService.connect(server.id,serverConfig,DEFAULT_MCP_CONFIG.clientInfo,DEFAULT_MCP_CONFIG.capabilities,
+(phase,log)=>{currentPhase=phase,logs.push(log),this.updateHealthCheck(server.id,{status:HealthCheckStatus.CONNECTING,phase,logs:[...logs]}),phase===MCPConnectionPhase.DISCONNECTED&&promoteToActive&&(console.log(`[MCPStore][${server.id}] Connection lost during health check, starting auto-reconnect`),this.autoReconnect(server.id))}),tools=connection.tools.map(tool=>({name:tool.name,description:tool.description,title:tool.title})),capabilities=this.#buildCapabilitiesInfo(connection.serverCapabilities,
+connection.clientCapabilities);this.updateHealthCheck(server.id,{status:HealthCheckStatus.SUCCESS,tools,serverInfo:connection.serverInfo,capabilities,transportType:connection.transportType,protocolVersion:connection.protocolVersion,instructions:connection.instructions,connectionTimeMs:connection.connectionTimeMs,logs}),promoteToActive&&server.enabled?this.promoteHealthCheckToConnection(server.id,connection):await MCPService.disconnect(connection)}catch(error2){const message=error2 instanceof Error?
+error2.message:"Unknown error occurred";logs.at(-1)?.phase!==MCPConnectionPhase.ERROR&&logs.push({timestamp:new Date,phase:MCPConnectionPhase.ERROR,message:`Connection failed: ${message}`,level:MCPLogLevel.ERROR}),this.updateHealthCheck(server.id,{status:HealthCheckStatus.ERROR,message,phase:currentPhase,logs})}}promoteHealthCheckToConnection(serverId,connection){for(const tool of connection.tools)this.toolsIndex.has(tool.name)&&console.warn(`[MCPStore] Tool name conflict during promotion: "${tool.
+name}" exists in "${this.toolsIndex.get(tool.name)}" and "${serverId}". Using tool from "${serverId}".`),this.toolsIndex.set(tool.name,serverId);this.connections.set(serverId,connection),this.updateState({toolCount:this.toolsIndex.size,connectedServers:Array.from(this.connections.keys())})}getServersStatus(){const statuses=[];for(const[name,connection]of this.connections)statuses.push({name,isConnected:!0,toolCount:connection.tools.length,error:void 0});return statuses}getServerInstructions(){const results=[];
+for(const[serverName,connection]of this.connections)connection.instructions&&results.push({serverName,serverTitle:connection.serverInfo?.title||connection.serverInfo?.name,instructions:connection.instructions});return results}getHealthCheckInstructions(){const results=[];for(const[serverId,state2]of Object.entries(this._healthChecks))state2.status===HealthCheckStatus.SUCCESS&&state2.instructions&&results.push({serverId,serverTitle:state2.serverInfo?.title||state2.serverInfo?.name,instructions:state2.
+instructions});return results}hasServerInstructions(){for(const connection of this.connections.values())if(connection.instructions)return!0;return!1}hasResourcesCapability(perChatOverrides){if(perChatOverrides!==void 0){const enabledServerIds=new Set(perChatOverrides.filter(o=>o.enabled).map(o=>o.serverId));if(enabledServerIds.size===0)return!1;for(const[serverId,state2]of Object.entries(this._healthChecks))if(enabledServerIds.has(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.
+server?.resources!==void 0)return!0;for(const[serverName,connection]of this.connections)if(enabledServerIds.has(serverName)&&MCPService.supportsResources(connection))return!0;return!1}for(const state2 of Object.values(this._healthChecks))if(state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0)return!0;for(const connection of this.connections.values())if(MCPService.supportsResources(connection))return!0;return!1}getServersWithResources(){const servers=[];for(const[
+name,connection]of this.connections)MCPService.supportsResources(connection)&&!servers.includes(name)&&servers.push(name);for(const[serverId,state2]of Object.entries(this._healthChecks))!servers.includes(serverId)&&state2.status===HealthCheckStatus.SUCCESS&&state2.capabilities?.server?.resources!==void 0&&servers.push(serverId);return servers}async fetchAllResources(forceRefresh=!1){const serversWithResources=this.getServersWithResources();if(serversWithResources.length!==0){if(!forceRefresh&&serversWithResources.
+every(serverName=>{const serverRes=mcpResourceStore.getServerResources(serverName);return!serverRes||!serverRes.lastFetched?!1:Date.now()-serverRes.lastFetched.getTime()<DEFAULT_CACHE_TTL_MS})){console.log("[MCPStore] Using cached resources");return}mcpResourceStore.setLoading(!0);try{await Promise.all(serversWithResources.map(serverName=>this.fetchServerResources(serverName)))}finally{mcpResourceStore.setLoading(!1)}}}async fetchServerResources(serverName){const connection=this.connections.get(
+serverName);if(!connection){console.warn(`[MCPStore] No connection found for server: ${serverName}`);return}if(MCPService.supportsResources(connection)){mcpResourceStore.setServerLoading(serverName,!0);try{const[resources,templates]=await Promise.all([MCPService.listAllResources(connection),MCPService.listAllResourceTemplates(connection)]);mcpResourceStore.setServerResources(serverName,resources,templates)}catch(error2){const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.
+setServerError(serverName,message),console.error(`[MCPStore][${serverName}] Failed to fetch resources:`,error2)}}}async readResource(uri2){const cached2=mcpResourceStore.getCachedContent(uri2);if(cached2)return cached2.content;const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),null;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found f\
+or server: ${serverName}`),null;try{const result=await MCPService.readResource(connection,uri2),resourceInfo=mcpResourceStore.findResourceByUri(uri2);return resourceInfo&&mcpResourceStore.cacheResourceContent(resourceInfo,result.contents),result.contents}catch(error2){return console.error(`[MCPStore] Failed to read resource ${uri2}:`,error2),null}}async subscribeToResource(uri2){const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server fou\
+nd for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;if(!MCPService.supportsResourceSubscriptions(connection))return!1;try{return await MCPService.subscribeResource(connection,uri2),mcpResourceStore.addSubscription(uri2,serverName),!0}catch(error2){return console.error(`[MCPStore] Failed to subscribe to resource ${uri2}:`,error2),!1}}async unsubscribeFromResource(uri2){
+const serverName=mcpResourceStore.findServerForUri(uri2);if(!serverName)return console.error(`[MCPStore] No server found for resource URI: ${uri2}`),!1;const connection=this.connections.get(serverName);if(!connection)return console.error(`[MCPStore] No connection found for server: ${serverName}`),!1;try{return await MCPService.unsubscribeResource(connection,uri2),mcpResourceStore.removeSubscription(uri2),!0}catch(error2){return console.error(`[MCPStore] Failed to unsubscribe from resource ${uri2}\
+:`,error2),!1}}async attachResource(uri2){const resourceInfo=mcpResourceStore.findResourceByUri(uri2);if(!resourceInfo)return console.error(`[MCPStore] Resource not found: ${uri2}`),null;if(mcpResourceStore.isAttached(uri2))return null;const attachment=mcpResourceStore.addAttachment(resourceInfo);try{const content2=await this.readResource(uri2);content2?mcpResourceStore.updateAttachmentContent(attachment.id,content2):mcpResourceStore.updateAttachmentError(attachment.id,"Failed to read resource")}catch(error2){
+const message=error2 instanceof Error?error2.message:String(error2);mcpResourceStore.updateAttachmentError(attachment.id,message)}return mcpResourceStore.getAttachment(attachment.id)??null}removeResourceAttachment(attachmentId){mcpResourceStore.removeAttachment(attachmentId)}clearResourceAttachments(){mcpResourceStore.clearAttachments()}getResourceContextForChat(){return mcpResourceStore.formatAttachmentsForContext()}consumeResourceAttachmentsAsExtras(){const extras=mcpResourceStore.toMessageExtras();
+return extras.length>0&&mcpResourceStore.clearAttachments(),extras}}const mcpStore=new MCPStore;var root_2$18=from_html('<button type="button"><!> <span class="max-w-[150px] truncate text-xs"> </span> <!></button>'),root_8$s=from_html('<img class="h-3 w-3 shrink-0 rounded-sm"/>'),root_7$u=from_html('<div class="flex items-center gap-1 text-xs"><!> <span class="truncate"> </span></div>'),root_1$12=from_html("<!> <!>",1);function ChatAttachmentsListItemMcpResource($$anchor,$$props){push$1($$props,
+!0);const ResourceIcon=user_derived(()=>getResourceIcon($$props.attachment.resource.mimeType,$$props.attachment.resource.uri)),serverName=user_derived(()=>mcpStore.getServerDisplayName($$props.attachment.resource.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.attachment.resource.serverName));function getStatusClass(attachment){return attachment.error?"border-red-500/50 bg-red-500/10":(attachment.loading,"border-border/50 bg-muted/30")}var fragment=comment$2(),node2=first_child(
+fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$12(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{var button=root_2$18(),node_2=child(button);{var consequent=$$anchor6=>{Loader_circle($$anchor6,{class:"h-3 w-3 animate-spin text-muted-foreground"})},consequent_1=$$anchor6=>{Circle_alert(
+$$anchor6,{class:"h-3 w-3 text-red-500"})},alternate=$$anchor6=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>get$3(ResourceIcon),($$anchor7,ResourceIcon_1)=>{ResourceIcon_1($$anchor7,{class:"h-3 w-3 text-muted-foreground"})}),append($$anchor6,fragment_4)};if_block(node_2,$$render=>{$$props.attachment.loading?$$render(consequent):$$props.attachment.error?$$render(consequent_1,1):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);
+var node_4=sibling(span,2);{var consequent_2=$$anchor6=>{ActionIcon($$anchor6,{class:"-my-2 -mr-1.5 bg-transparent",get icon(){return X},iconSize:"h-2 w-2",onclick:()=>$$props.onRemove?.($$props.attachment.id),stopPropagationOnClick:!0,tooltip:"Remove"})};if_block(node_4,$$render=>{$$props.onRemove&&$$render(consequent_2)})}reset(button),template_effect(($0,$1)=>{set_class(button,1,$0),button.disabled=!$$props.onclick,set_text(text2,$1)},[()=>clsx(["flex flex-shrink-0 items-center gap-1.5 rounde\
+d-md border px-2 py-0.75 text-sm transition-colors",getStatusClass($$props.attachment),$$props.onclick&&"cursor-pointer hover:bg-muted/50",$$props.class]),()=>getResourceDisplayName($$props.attachment.resource)]),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor5,button)},$$slots:{default:!0}})});var node_5=sibling(node_1,2);component(node_5,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{
+var div=root_7$u(),node_6=child(div);{var consequent_3=$$anchor6=>{var img=root_8$s();template_effect(()=>{set_attribute(img,"alt",$$props.attachment.resource.serverName),set_attribute(img,"src",get$3(favicon))}),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(node_6,$$render=>{get$3(favicon)&&$$render(consequent_3)})}var span_1=sibling(node_6,2),text_1=child(span_1,!0);reset(span_1),reset(div),template_effect(()=>set_text(text_1,get$3(
+serverName))),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);const info$1=($$anchor,text2=noop$3)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent_1=$$anchor2=>{var span=root_6$v(),text_3=child(span,!0);reset(span),template_effect(()=>set_text(text_3,text2())),append($$anchor2,span)};if_block(node_2,$$render=>{text2()&&$$render(consequent_1)})}append($$anchor,fragment)};
+var root_2$17=from_html("<div></div>"),root_1$11=from_html('<div class="relative"><div> </div> <!></div>'),root_3$X=from_html('<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root_4$D=from_html('<div class="flex h-8 w-8 items-center justify-center rounded bg-primary/10 text-xs font-medium text-primary"> </div>'),root_6$v=from_html('<span class="text-xs text-muted-foreground"> </span>'),root_9$m=from_html('<div class="flex items-start gap-3"><d\
+iv class="flex min-w-0 flex-1 flex-col items-start text-left"><span class="w-full truncate text-sm font-medium text-foreground"> </span> <!> <!></div></div>'),root_11$f=from_html('<span class="mb-3 block truncate text-sm font-medium text-foreground"> </span> <!>',1),root_7$t=from_html('<button type="button"><!> <div><!></div></button>'),root_13$d=from_html('<button type="button"><!> <div class="flex flex-col items-start gap-0.5"><span> </span> <!></div> <!></button>');function ChatAttachmentsListItemThumbnailFile($$anchor,$$props){
+push$1($$props,!0);const textPreview=($$anchor2,content2=noop$3)=>{var div=root_1$11(),div_1=child(div),text_1=child(div_1,!0);reset(div_1);var node2=sibling(div_1,2);{var consequent=$$anchor3=>{var div_2=root_2$17();template_effect(()=>set_class(div_2,1,`pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent ${readonly2()?"h-6":""}`)),append($$anchor3,div_2)};if_block(node2,$$render=>{content2().length>150&&$$render(consequent)})}reset(div),template_effect(
+$0=>{set_class(div_1,1,`font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground ${readonly2()?"":"max-h-3rem line-height-1.2"}`),set_text(text_1,$0)},[()=>getPreviewText(content2())]),append($$anchor2,div)},removeButton=$$anchor2=>{var div_3=root_3$X(),node_1=child(div_3);ActionIcon(node_1,{get icon(){return X},tooltip:"Remove",stopPropagationOnClick:!0,onclick:()=>$$props.onRemove?.($$props.id)}),reset(div_3),append($$anchor2,div_3)},fileIcon=$$anchor2=>{var div_4=root_4$D(),
+text_2=child(div_4,!0);reset(div_4),template_effect(()=>set_text(text_2,get$3(fileTypeLabel))),append($$anchor2,div_4)};let className=prop($$props,"class",3,""),readonly2=prop($$props,"readonly",3,!1),isPdf=user_derived(()=>isPdfFile$1($$props.attachment,$$props.uploadedFile)),isPdfWithContent=user_derived(()=>get$3(isPdf)&&!!$$props.textContent),isText=user_derived(()=>isTextFile($$props.attachment,$$props.uploadedFile)),isTextWithContent=user_derived(()=>get$3(isText)&&!!$$props.textContent),fileTypeLabel=user_derived(
+()=>{if($$props.uploadedFile?.type)return getFileTypeLabel($$props.uploadedFile.type);if($$props.attachment){if("mimeType"in $$props.attachment&&$$props.attachment.mimeType)return getFileTypeLabel($$props.attachment.mimeType);if($$props.attachment.type)return getFileTypeLabel($$props.attachment.type)}return getFileTypeLabel($$props.name)}),pdfProcessingMode=user_derived(()=>$$props.attachment?.type===AttachmentType.PDF?$$props.attachment.processedAsImages?"Sent as Image":"Sent as Text":null);var fragment_1=comment$2(),
+node_3=first_child(fragment_1);{var consequent_6=$$anchor2=>{var button=root_7$t(),node_4=child(button);{var consequent_2=$$anchor3=>{removeButton($$anchor3)};if_block(node_4,$$render=>{readonly2()||$$render(consequent_2)})}var div_5=sibling(node_4,2),node_5=child(div_5);{var consequent_4=$$anchor3=>{var div_6=root_9$m(),div_7=child(div_6),span_1=child(div_7),text_4=child(span_1,!0);reset(span_1);var node_6=sibling(span_1,2);{let $0=user_derived(()=>get$3(pdfProcessingMode)||($$props.size?formatFileSize(
+$$props.size):void 0));info$1(node_6,()=>get$3($0))}var node_7=sibling(node_6,2);{var consequent_3=$$anchor4=>{textPreview($$anchor4,()=>$$props.textContent)};if_block(node_7,$$render=>{$$props.textContent&&$$render(consequent_3)})}reset(div_7),reset(div_6),template_effect(()=>set_text(text_4,$$props.name)),append($$anchor3,div_6)},alternate=$$anchor3=>{var fragment_4=root_11$f(),span_2=first_child(fragment_4),text_5=child(span_2,!0);reset(span_2);var node_8=sibling(span_2,2);{var consequent_5=$$anchor4=>{
+textPreview($$anchor4,()=>$$props.textContent)};if_block(node_8,$$render=>{$$props.textContent&&$$render(consequent_5)})}template_effect(()=>set_text(text_5,$$props.name)),append($$anchor3,fragment_4)};if_block(node_5,$$render=>{readonly2()?$$render(consequent_4):$$render(alternate,-1)})}reset(div_5),reset(button),template_effect(()=>{set_attribute(button,"aria-label",readonly2()?`Preview ${$$props.name}`:void 0),set_class(button,1,`rounded-lg border border-border bg-muted p-3 ${className()??""}\
+ cursor-pointer ${readonly2()?"w-full max-w-2xl transition-shadow hover:shadow-md":`group relative text-left ${$$props.textContent?"max-h-24 max-w-72":"max-w-36"}`} overflow-hidden`),set_class(div_5,1,clsx([!readonly2()&&"pr-8","overflow-hidden"]))}),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button)},alternate_1=$$anchor2=>{var button_1=root_13$d(),node_9=child(button_1);fileIcon(node_9);var div_8=sibling(node_9,2),span_3=child(div_8),text_6=child(
+span_3,!0);reset(span_3);var node_10=sibling(span_3,2);{let $0=user_derived(()=>get$3(pdfProcessingMode)||($$props.size?formatFileSize($$props.size):void 0));info$1(node_10,()=>get$3($0))}reset(div_8);var node_11=sibling(div_8,2);{var consequent_7=$$anchor3=>{removeButton($$anchor3)};if_block(node_11,$$render=>{readonly2()||$$render(consequent_7)})}reset(button_1),template_effect(()=>{set_class(button_1,1,`group flex items-center gap-3 rounded-lg border border-border bg-muted p-3 ${className()??
+""} relative`),set_class(span_3,1,`max-w-24 truncate text-sm font-medium text-foreground ${readonly2()?"":"group-hover:pr-6"} md:max-w-32`),set_text(text_6,$$props.name)}),delegated("click",button_1,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button_1)};if_block(node_3,$$render=>{get$3(isTextWithContent)||get$3(isPdfWithContent)?$$render(consequent_6):$$render(alternate_1,-1)})}append($$anchor,fragment_1),pop()}delegate(["click"]);var root_1$10=from_html("<img/>"),
+root_2$16=from_html('<button class="block h-full w-full rounded-lg focus:ring-2 focus:ring-primary focus:ring-offset-2 focus:outline-none" type="button"><!></button>'),root_4$C=from_html('<div class="absolute top-1 right-1 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"><!></div>'),root$1G=from_html("<div><!> <!></div>");function ChatAttachmentsListItemThumbnailImage($$anchor,$$props){push$1($$props,!0);const image2=$$anchor2=>{var img=root_1$10();template_effect(
+()=>{set_attribute(img,"src",$$props.preview),set_attribute(img,"alt",$$props.name),set_class(img,1,`${height()??""} ${width()??""} cursor-pointer object-cover ${imageClass()??""}`)}),append($$anchor2,img)};let className=prop($$props,"class",3,""),height=prop($$props,"height",3,"h-16"),imageClass=prop($$props,"imageClass",3,""),readonly2=prop($$props,"readonly",3,!1),width=prop($$props,"width",3,"w-auto");var div=root$1G(),node2=child(div);{var consequent=$$anchor2=>{var button=root_2$16(),node_1=child(
+button);image2(node_1),reset(button),template_effect(()=>set_attribute(button,"aria-label",`Preview ${$$props.name??""}`)),delegated("click",button,function(...$$args){$$props.onclick?.apply(this,$$args)}),append($$anchor2,button)},alternate=$$anchor2=>{image2($$anchor2)};if_block(node2,$$render=>{$$props.onclick?$$render(consequent):$$render(alternate,-1)})}var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{var div_1=root_4$C(),node_3=child(div_1);ActionIcon(node_3,{class:"text-white",get icon(){
+return X},onclick:()=>$$props.onRemove?.($$props.id),stopPropagationOnClick:!0,tooltip:"Remove"}),reset(div_1),append($$anchor2,div_1)};if_block(node_2,$$render=>{readonly2()||$$render(consequent_1)})}reset(div),template_effect(()=>set_class(div,1,`group relative overflow-hidden rounded-lg bg-muted shadow-lg dark:border dark:border-muted ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);class ModelsService{static async list(){return apiFetch(API_MODELS.LIST)}static async listRouter(){
+return apiFetch(API_MODELS.LIST)}static async load(modelId,extraArgs){const payload={model:modelId};return extraArgs&&extraArgs.length>0&&(payload.extra_args=extraArgs),apiPost(API_MODELS.LOAD,payload)}static async unload(modelId){return apiPost(API_MODELS.UNLOAD,{model:modelId})}static isModelLoaded(model){return model.status.value===ServerModelStatus.LOADED}static isModelLoading(model){return model.status.value===ServerModelStatus.LOADING}static parseModelId(modelId){const result={raw:modelId,
+orgName:null,modelName:null,params:null,activatedParams:null,quantization:null,tags:[]},colonIdx=modelId.indexOf(MODEL_ID_QUANTIZATION_SEPARATOR);let modelPath;colonIdx!==MODEL_ID_NOT_FOUND?(result.quantization=modelId.slice(colonIdx+1)||null,modelPath=modelId.slice(0,colonIdx)):modelPath=modelId;const slashIdx=modelPath.indexOf(MODEL_ID_ORG_SEPARATOR);let modelStr;slashIdx!==MODEL_ID_NOT_FOUND?(result.orgName=modelPath.slice(0,slashIdx),modelStr=modelPath.slice(slashIdx+1)):modelStr=modelPath;const dotIdx=modelStr.
+lastIndexOf(".");if(dotIdx!==MODEL_ID_NOT_FOUND&&!result.quantization){const afterDot=modelStr.slice(dotIdx+1);MODEL_QUANTIZATION_SEGMENT_RE.test(afterDot)&&(result.quantization=afterDot,modelStr=modelStr.slice(0,dotIdx))}const segments=modelStr.split(MODEL_ID_SEGMENT_SEPARATOR);if(!result.quantization&&segments.length>1){const last=segments[segments.length-1],secondLast=segments.length>2?segments[segments.length-2]:null;MODEL_QUANTIZATION_SEGMENT_RE.test(last)&&(secondLast&&MODEL_CUSTOM_QUANTIZATION_PREFIX_RE.
+test(secondLast)?(result.quantization=`${secondLast}-${last}`,segments.splice(segments.length-2,2)):(result.quantization=last,segments.pop()))}let paramsIdx=MODEL_ID_NOT_FOUND,activatedParamsIdx=MODEL_ID_NOT_FOUND;for(let i=0;i<segments.length;i++){const seg=segments[i];paramsIdx===MODEL_ID_NOT_FOUND&&MODEL_PARAMS_RE.test(seg)?(paramsIdx=i,result.params=seg.toUpperCase()):paramsIdx!==MODEL_ID_NOT_FOUND&&MODEL_ACTIVATED_PARAMS_RE.test(seg)&&(activatedParamsIdx=i,result.activatedParams=seg.toUpperCase())}
+const pivotIdx=paramsIdx!==MODEL_ID_NOT_FOUND?paramsIdx:segments.length;return result.modelName=segments.slice(0,pivotIdx).join(MODEL_ID_SEGMENT_SEPARATOR)||null,paramsIdx!==MODEL_ID_NOT_FOUND&&(result.tags=segments.slice(paramsIdx+1).filter((_,relIdx)=>{const absIdx=paramsIdx+1+relIdx;return absIdx===activatedParamsIdx?!1:!MODEL_IGNORED_SEGMENTS.has(segments[absIdx].toUpperCase())})),result}}class ModelsStore{#models=state$1(proxy([]));get models(){return get$3(this.#models)}set models(value){set$1(
+this.#models,value,!0)}#routerModels=state$1(proxy([]));get routerModels(){return get$3(this.#routerModels)}set routerModels(value){set$1(this.#routerModels,value,!0)}#loading=state$1(!1);get loading(){return get$3(this.#loading)}set loading(value){set$1(this.#loading,value,!0)}#updating=state$1(!1);get updating(){return get$3(this.#updating)}set updating(value){set$1(this.#updating,value,!0)}#error=state$1(null);get error(){return get$3(this.#error)}set error(value){set$1(this.#error,value,!0)}#selectedModelId=state$1(
+null);get selectedModelId(){return get$3(this.#selectedModelId)}set selectedModelId(value){set$1(this.#selectedModelId,value,!0)}#selectedModelName=state$1(null);get selectedModelName(){return get$3(this.#selectedModelName)}set selectedModelName(value){set$1(this.#selectedModelName,value,!0)}inflightFetch=null;#modelUsage=state$1(proxy(new Map));get modelUsage(){return get$3(this.#modelUsage)}set modelUsage(value){set$1(this.#modelUsage,value,!0)}modelLoadingStates=new SvelteMap;#favoriteModelIds=state$1(
+proxy(this.loadFavoritesFromStorage()));get favoriteModelIds(){return get$3(this.#favoriteModelIds)}set favoriteModelIds(value){set$1(this.#favoriteModelIds,value,!0)}modelPropsCache=new TTLCache({ttlMs:MODEL_PROPS_CACHE_TTL_MS,maxEntries:MODEL_PROPS_CACHE_MAX_ENTRIES});#modelPropsFetching=state$1(proxy(new Set));get modelPropsFetching(){return get$3(this.#modelPropsFetching)}set modelPropsFetching(value){set$1(this.#modelPropsFetching,value,!0)}#propsCacheVersion=state$1(0);get propsCacheVersion(){
+return get$3(this.#propsCacheVersion)}set propsCacheVersion(value){set$1(this.#propsCacheVersion,value,!0)}get selectedModel(){return this.selectedModelId?this.models.find(model=>model.id===this.selectedModelId)??null:null}get loadedModelIds(){return this.routerModels.filter(m=>m.status.value===ServerModelStatus.LOADED||m.status.value===ServerModelStatus.SLEEPING).map(m=>m.id)}get loadingModelIds(){return Array.from(this.modelLoadingStates.entries()).filter(([,loading])=>loading).map(([id2])=>id2)}get singleModelName(){
+if(serverStore.isRouterMode)return null;const props=serverStore.props;return props?.model_alias?props.model_alias:props?.model_path&&props.model_path.split(/(\\|\/)/).pop()||null}getModelModalities(modelId){const model=this.models.find(m=>m.model===modelId||m.id===modelId);if(model?.modalities)return model.modalities;const props=this.modelPropsCache.get(modelId);return props?.modalities?{vision:props.modalities.vision??!1,audio:props.modalities.audio??!1}:null}modelSupportsVision(modelId){return this.
+getModelModalities(modelId)?.vision??!1}modelSupportsAudio(modelId){return this.getModelModalities(modelId)?.audio??!1}getModelModalitiesArray(modelId){const modalities=this.getModelModalities(modelId);if(!modalities)return[];const result=[];return modalities.vision&&result.push(ModelModality.VISION),modalities.audio&&result.push(ModelModality.AUDIO),result}getModelProps(modelId){return this.modelPropsCache.get(modelId)}getModelContextSize(modelId){const nCtx=this.getModelProps(modelId)?.default_generation_settings?.
+n_ctx;return typeof nCtx=="number"?nCtx:null}get selectedModelContextSize(){return this.selectedModelName?this.getModelContextSize(this.selectedModelName):null}isModelPropsFetching(modelId){return this.modelPropsFetching.has(modelId)}isModelLoaded(modelId){const model=this.routerModels.find(m=>m.id===modelId);return model?.status.value===ServerModelStatus.LOADED||model?.status.value===ServerModelStatus.SLEEPING||!1}isModelOperationInProgress(modelId){return this.modelLoadingStates.get(modelId)??
+!1}getModelStatus(modelId){return this.routerModels.find(m=>m.id===modelId)?.status.value??null}getModelUsage(modelId){return this.modelUsage.get(modelId)??new SvelteSet}isModelInUse(modelId){const usage=this.modelUsage.get(modelId);return usage!==void 0&&usage.size>0}async fetch(force=!1){if(this.inflightFetch)return this.inflightFetch;if(!(this.models.length>0&&!force)){this.inflightFetch=this.runFetch();try{await this.inflightFetch}finally{this.inflightFetch=null}}}async runFetch(){this.loading=
+!0,this.error=null;try{serverStore.props||await serverStore.fetch();const response=await ModelsService.list(),models=response.data.map((item,index2)=>{const details=response.models?.[index2],rawCapabilities=Array.isArray(details?.capabilities)?details?.capabilities:[],displayNameSource=details?.name&&details.name.trim().length>0?details.name:item.id,displayName=this.toDisplayName(displayNameSource),modelId=details?.model||item.id;return{id:item.id,name:displayName,model:modelId,description:details?.
+description,capabilities:rawCapabilities.filter(value=>!!value),details:details?.details,meta:item.meta??null,parsedId:ModelsService.parseModelId(modelId),aliases:item.aliases??[],tags:item.tags??[]}});this.models=models;const serverProps2=serverStore.props;if(serverStore.isModelMode&&this.models.length>0&&serverProps2?.modalities){const modalities={vision:serverProps2.modalities.vision??!1,audio:serverProps2.modalities.audio??!1};this.modelPropsCache.set(this.models[0].model,serverProps2),this.
+models=this.models.map((model,index2)=>index2===0?{...model,modalities}:model)}}catch(error2){throw this.models=[],this.error=error2 instanceof Error?error2.message:"Failed to load models",error2}finally{this.loading=!1}}async fetchRouterModels(){try{const response=await ModelsService.listRouter();this.routerModels=response.data,await this.fetchModalitiesForLoadedModels();const o=this.models.filter(option2=>this.getModelProps(option2.model)?.webui!==!1);o.length===1&&this.isModelLoaded(o[0].model)&&
+this.selectModelById(o[0].id)}catch(error2){console.warn("Failed to fetch router models:",error2),this.routerModels=[]}}async fetchModelProps(modelId){const cached2=this.modelPropsCache.get(modelId);if(cached2)return cached2;if(serverStore.isRouterMode&&!this.isModelLoaded(modelId)||this.modelPropsFetching.has(modelId))return null;this.modelPropsFetching.add(modelId);try{const props=await PropsService.fetchForModel(modelId);return this.modelPropsCache.set(modelId,props),props}catch(error2){return console.
+warn(`Failed to fetch props for model ${modelId}:`,error2),null}finally{this.modelPropsFetching.delete(modelId)}}async fetchModalitiesForLoadedModels(){const loadedModelIds2=this.loadedModelIds;if(loadedModelIds2.length===0)return;const propsPromises=loadedModelIds2.map(modelId=>this.fetchModelProps(modelId));try{const results=await Promise.all(propsPromises);this.models=this.models.map(model=>{const modelIndex=loadedModelIds2.indexOf(model.model);if(modelIndex===-1)return model;const props=results[modelIndex];
+if(!props?.modalities)return model;const modalities={vision:props.modalities.vision??!1,audio:props.modalities.audio??!1};return{...model,modalities}}),this.propsCacheVersion++}catch(error2){console.warn("Failed to fetch modalities for loaded models:",error2)}}async updateModelModalities(modelId){try{const props=await this.fetchModelProps(modelId);if(!props?.modalities)return;const modalities={vision:props.modalities.vision??!1,audio:props.modalities.audio??!1};this.models=this.models.map(model=>model.
+model===modelId?{...model,modalities}:model),this.propsCacheVersion++}catch(error2){console.warn(`Failed to update modalities for model ${modelId}:`,error2)}}async selectModelById(modelId){if(!modelId||this.updating||this.selectedModelId===modelId)return;const option2=this.models.find(model=>model.id===modelId);if(!option2)throw new Error("Selected model is not available");this.updating=!0,this.error=null;try{this.selectedModelId=option2.id,this.selectedModelName=option2.model}finally{this.updating=
+!1}}selectModelByName(modelName){const option2=this.models.find(model=>model.model===modelName);option2&&(this.selectedModelId=option2.id,this.selectedModelName=option2.model)}clearSelection(){this.selectedModelId=null,this.selectedModelName=null}findModelByName(modelName){return this.models.find(model=>model.model===modelName)??null}findModelById(modelId){return this.models.find(model=>model.id===modelId)??null}hasModel(modelName){return this.models.some(model=>model.model===modelName)}static STATUS_POLL_INTERVAL=500;async pollForModelStatus(modelId,expectedStatus){
+let attempt=0;for(;;){await this.fetchRouterModels();const currentStatus=this.getModelStatus(modelId);if(currentStatus===expectedStatus)return;if(currentStatus===ServerModelStatus.FAILED)throw new Error(`Model failed to ${expectedStatus===ServerModelStatus.LOADED?"load":"unload"}`);if(expectedStatus===ServerModelStatus.LOADED&&currentStatus===ServerModelStatus.UNLOADED&&attempt>2)throw new Error("Model was unloaded unexpectedly during loading");attempt++,await new Promise(resolve2=>setTimeout(resolve2,
+ModelsStore.STATUS_POLL_INTERVAL))}}async loadModel(modelId){if(!this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.load(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.LOADED),await this.updateModelModalities(modelId),toast.success(`Model loaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:"Failed to load model",toast.error(
+`Failed to load model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async unloadModel(modelId){if(this.isModelLoaded(modelId)&&!this.modelLoadingStates.get(modelId)){this.modelLoadingStates.set(modelId,!0),this.error=null;try{await ModelsService.unload(modelId),await this.pollForModelStatus(modelId,ServerModelStatus.UNLOADED),toast.info(`Model unloaded: ${this.toDisplayName(modelId)}`)}catch(error2){throw this.error=error2 instanceof Error?error2.message:
+"Failed to unload model",toast.error(`Failed to unload model: ${this.toDisplayName(modelId)}`),error2}finally{this.modelLoadingStates.set(modelId,!1)}}}async ensureModelLoaded(modelId){this.isModelLoaded(modelId)||await this.loadModel(modelId)}isFavorite(modelId){return this.favoriteModelIds.has(modelId)}toggleFavorite(modelId){const next2=new SvelteSet(this.favoriteModelIds);next2.has(modelId)?next2.delete(modelId):next2.add(modelId),this.favoriteModelIds=next2;try{localStorage.setItem(FAVORITE_MODELS_LOCALSTORAGE_KEY,
+JSON.stringify([...next2]))}catch{toast.error("Failed to save favorite models to local storage")}}loadFavoritesFromStorage(){try{const raw2=localStorage.getItem(FAVORITE_MODELS_LOCALSTORAGE_KEY);return raw2?new Set(JSON.parse(raw2)):new Set}catch{return toast.error("Failed to load favorite models from local storage"),new Set}}toDisplayName(id2){const candidate=id2.split(/\\|\//).pop();return candidate&&candidate.trim().length>0?candidate:id2}clear(){this.models=[],this.routerModels=[],this.loading=
+!1,this.updating=!1,this.error=null,this.selectedModelId=null,this.selectedModelName=null,this.modelUsage.clear(),this.modelLoadingStates.clear(),this.modelPropsCache.clear(),this.modelPropsFetching.clear()}pruneExpiredCache(){return this.modelPropsCache.prune()}}const modelsStore=new ModelsStore,modelOptions=()=>modelsStore.models,routerModels=()=>modelsStore.routerModels,modelsLoading=()=>modelsStore.loading,modelsUpdating=()=>modelsStore.updating,selectedModelId=()=>modelsStore.selectedModelId,
+selectedModelName=()=>modelsStore.selectedModelName,singleModelName=()=>modelsStore.singleModelName,selectedModelContextSize=()=>modelsStore.selectedModelContextSize;var root_1$$=from_html("<!> <!>",1),root$1F=from_html('<div><div class="relative flex min-h-0 flex-1 items-center justify-center overflow-hidden"><!> <div class="flex h-full w-full flex-col items-center justify-start overflow-auto py-4"><!> <!></div></div></div>');function ChatAttachmentsPreview($$anchor,$$props){push$1($$props,!0);
+let uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props,"class",3,""),previewFocusIndex=prop($$props,"previewFocusIndex",3,0),allItems=user_derived(()=>getAttachmentDisplayItems({uploadedFiles:uploadedFiles(),attachments:attachments()}).filter(item=>!isMcpPrompt(item)&&!isMcpResource(item)).map(item=>({...item,isImage:isImageFile(item.attachment,item.uploadedFile),isAudio:isAudioFile(item.attachment,item.uploadedFile)}))),
+currentIndex=state$1(0);user_effect(()=>{previewFocusIndex()>=0&&previewFocusIndex()<get$3(allItems).length&&set$1(currentIndex,previewFocusIndex())}),user_effect(()=>{const handler=e=>{e.detail<0?set$1(currentIndex,get$3(currentIndex)>0?get$3(currentIndex)-1:get$3(allItems).length-1,!0):set$1(currentIndex,get$3(currentIndex)<get$3(allItems).length-1?get$3(currentIndex)+1:0,!0)};return document.addEventListener("chat-attachments-nav",handler),()=>document.removeEventListener("chat-attachments-na\
+v",handler)}),user_effect(()=>{const index2=get$3(currentIndex);setTimeout(()=>{document.querySelector(`[data-thumbnail-index="${index2}"]`)?.scrollIntoView({behavior:"smooth",inline:"center",block:"nearest"})},0)});let currentItem=user_derived(()=>get$3(allItems)[get$3(currentIndex)]??null),displayName=user_derived(()=>get$3(currentItem)?.name||get$3(currentItem)?.uploadedFile?.name||get$3(currentItem)?.attachment?.name||"Unknown File"),isAudio=user_derived(()=>get$3(currentItem)?isAudioFile(get$3(
+currentItem).attachment,get$3(currentItem).uploadedFile):!1),isImage2=user_derived(()=>get$3(currentItem)?isImageFile(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),isPdf=user_derived(()=>get$3(currentItem)?isPdfFile$1(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),isText=user_derived(()=>get$3(currentItem)?isTextFile(get$3(currentItem).attachment,get$3(currentItem).uploadedFile):!1),displayPreview=user_derived(()=>get$3(currentItem)?.uploadedFile?.preview||
+(get$3(isImage2)&&get$3(currentItem)?.attachment&&"base64Url"in get$3(currentItem).attachment?get$3(currentItem).attachment.base64Url:get$3(currentItem)?.preview)),displayTextContent=user_derived(()=>get$3(currentItem)?.uploadedFile?.textContent||(get$3(currentItem)?.attachment&&"content"in get$3(currentItem).attachment?get$3(currentItem).attachment.content:get$3(currentItem)?.textContent)),language2=user_derived(()=>getLanguageFromFilename(get$3(displayName))),fileSize=user_derived(()=>get$3(currentItem)?.
+size?formatFileSize(get$3(currentItem).size):""),hasVisionModality=user_derived(()=>get$3(currentItem)&&$$props.activeModelId?modelsStore.modelSupportsVision($$props.activeModelId):!1),audioSrc=user_derived(()=>get$3(isAudio)&&get$3(currentItem)?get$3(currentItem).uploadedFile?.preview??(get$3(currentItem).attachment&&"mimeType"in get$3(currentItem).attachment&&"base64Data"in get$3(currentItem).attachment?createBase64DataUrl(get$3(currentItem).attachment.mimeType,get$3(currentItem).attachment.base64Data):
+null):null);function prev2(){set$1(currentIndex,get$3(currentIndex)>0?get$3(currentIndex)-1:get$3(allItems).length-1,!0)}function next2(){set$1(currentIndex,get$3(currentIndex)<get$3(allItems).length-1?get$3(currentIndex)+1:0,!0)}function onNavigate(index2){set$1(currentIndex,index2,!0)}var $$exports={prev:prev2,next:next2},div=root$1F(),div_1=child(div),node2=child(div_1);{let $0=user_derived(()=>get$3(allItems).length>1);ChatAttachmentsPreviewNavButtons(node2,{onPrev:prev2,onNext:next2,get show(){
+return get$3($0)}})}var div_2=sibling(node2,2),node_1=child(div_2);{var consequent=$$anchor2=>{var fragment=root_1$$(),node_2=first_child(fragment);ChatAttachmentsPreviewFileInfo(node_2,{get displayName(){return get$3(displayName)},get fileSize(){return get$3(fileSize)}});var node_3=sibling(node_2,2);ChatAttachmentsPreviewCurrentItem(node_3,{get currentItem(){return get$3(currentItem)},get isImage(){return get$3(isImage2)},get isAudio(){return get$3(isAudio)},get isPdf(){return get$3(isPdf)},get isText(){
+return get$3(isText)},get displayPreview(){return get$3(displayPreview)},get displayTextContent(){return get$3(displayTextContent)},get audioSrc(){return get$3(audioSrc)},get language(){return get$3(language2)},get hasVisionModality(){return get$3(hasVisionModality)},get activeModelId(){return $$props.activeModelId}}),append($$anchor2,fragment)};if_block(node_1,$$render=>{get$3(currentItem)&&$$render(consequent)})}var node_4=sibling(node_1,2);return ChatAttachmentsPreviewThumbnailStrip(node_4,{get items(){
+return get$3(allItems)},get currentIndex(){return get$3(currentIndex)},onNavigate}),reset(div_2),reset(div_1),reset(div),template_effect(()=>set_class(div,1,`${className()??""} flex flex-col text-white`)),append($$anchor,div),pop($$exports)}var root_1$_=from_html("<!> <!>",1);function ChatAttachmentsPreviewNavButtons($$anchor,$$props){var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=root_1$_(),node_1=first_child(fragment_1);Button(node_1,{variant:"s\
+econdary",size:"icon",class:"absolute top-1/2 left-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!",get onclick(){return $$props.onPrev},"aria-label":"Previous",children:($$anchor3,$$slotProps)=>{Chevron_left($$anchor3,{class:"size-4"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(node_2,{variant:"secondary",size:"icon",class:"absolute top-1/2 right-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!",get onclick(){return $$props.
+onNext},"aria-label":"Next",children:($$anchor3,$$slotProps)=>{Chevron_right($$anchor3,{class:"size-4"})},$$slots:{default:!0}}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.show&&$$render(consequent)})}append($$anchor,fragment)}var root_1$Z=from_html('<p class="text-xs text-white/60"> </p>'),root$1E=from_html('<div class="sticky top-0 z-[20] mb-4 rounded-lg bg-black/5 px-4 py-2 text-center backdrop-blur-md"><p class="font-medium text-white"> </p> <!></div>');function ChatAttachmentsPreviewFileInfo($$anchor,$$props){
+var div=root$1E(),p2=child(div),text2=child(p2,!0);reset(p2);var node2=sibling(p2,2);{var consequent=$$anchor2=>{var p_1=root_1$Z(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,$$props.fileSize)),append($$anchor2,p_1)};if_block(node2,$$render=>{$$props.fileSize&&$$render(consequent)})}reset(div),template_effect(()=>set_text(text2,$$props.displayName)),append($$anchor,div)}var root_1$Y=from_html('<div data-slot="checkbox-indicator" class="text-current transition-none"><!></\
+div>');function Checkbox($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),indeterminate=prop($$props,"indeterminate",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","checked","indeterminate","class"]);var fragment=comment$2(),node2=first_child(fragment);{const children=($$anchor2,$$arg0)=>{let checked2=()=>$$arg0?.().checked,indeterminate2=()=>$$arg0?.().indeterminate;var div=root_1$Y(),node_1=child(div);{var consequent=$$anchor3=>{
+Check($$anchor3,{class:"size-3.5"})},consequent_1=$$anchor3=>{Minus($$anchor3,{class:"size-3.5"})};if_block(node_1,$$render=>{checked2()?$$render(consequent):indeterminate2()&&$$render(consequent_1,1)})}reset(div),append($$anchor2,div)};let $0=user_derived(()=>cn$1("peer flex size-4 shrink-0 items-center justify-center rounded-[4px] border border-input shadow-xs transition-shadow outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowe\
+d disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 data-[state=checked]:border-primary data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground dark:bg-input/30 dark:aria-invalid:ring-destructive/40 dark:data-[state=checked]:bg-primary",$$props.class));component(node2,()=>Checkbox$1,($$anchor2,CheckboxPrimitive_Root)=>{CheckboxPrimitive_Root($$anchor2,spread_props({"data-slot":"checkbox",get class(){return get$3($0)}},()=>restProps,{get ref(){
+return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){checked($$value)},get indeterminate(){return indeterminate()},set indeterminate($$value){indeterminate($$value)},children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$X=from_html("<input/>"),root_2$15=from_html("<input/>");function Input($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,"value",15),files=prop($$props,"files",15),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","value","type","files","class"]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var input=root_1$X();attribute_effect(input,$0=>({"data-slot":"input",class:$0,type:"file",...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-transparent px-3 pt-1.5 text-sm font-medium shadow-xs ring-offset-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-\
+foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input,$$value=>ref2($$value),()=>ref2()),bind_files(input,files),bind_value(input,value),append($$anchor2,input)},alternate=$$anchor2=>{var input_1=root_2$15();
+attribute_effect(input_1,$0=>({"data-slot":"input",class:$0,style:"backdrop-filter: blur(0.5rem);",type:$$props.type,...restProps}),[()=>cn$1("flex h-9 w-full min-w-0 rounded-md border border-input bg-background px-3 py-1 text-base shadow-xs ring-offset-background transition-[color,box-shadow] outline-none selection:bg-primary selection:text-primary-foreground placeholder:text-muted-foreground disabled:cursor-not-allowed disabled:opacity-50 md:text-sm dark:bg-input/30","focus-visible:border-ring\
+ focus-visible:ring-[3px] focus-visible:ring-ring/50","aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40",$$props.class)],void 0,void 0,void 0,!0),bind_this(input_1,$$value=>ref2($$value),()=>ref2()),bind_value(input_1,value),append($$anchor2,input_1)};if_block(node2,$$render=>{$$props.type==="file"?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_1$W=from_html('<button type="button" class="absolute top-1/\
+2 right-3 -translate-y-1/2 transform cursor-pointer text-muted-foreground transition-colors hover:text-foreground"><!></button>'),root$1D=from_html("<div><!> <!> <!></div>");function SearchInput($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",15,""),placeholder=prop($$props,"placeholder",3,"Search..."),ref2=prop($$props,"ref",15,null),isCancelAlwaysVisible=prop($$props,"isCancelAlwaysVisible",3,!1),showClearButton=user_derived(()=>isCancelAlwaysVisible()||!!value()||!!$$props.
+onClose);function handleInput(event2){const target2=event2.target;value(target2.value),$$props.onInput?.(target2.value)}function handleClear(){value()?(value(""),$$props.onInput?.(""),ref2()?.focus()):$$props.onClose?.()}var div=root$1D(),node2=child(div);Search(node2,{class:"absolute top-1/2 left-3 z-10 h-4 w-4 -translate-y-1/2 transform text-muted-foreground"});var node_1=sibling(node2,2);{let $0=user_derived(()=>get$3(showClearButton)?"pr-9":"");Input(node_1,{get id(){return $$props.id},get class(){
+return`pl-9 ${get$3($0)??""}`},oninput:handleInput,get onkeydown(){return $$props.onKeyDown},get placeholder(){return placeholder()},type:"search",get value(){return value()},set value($$value){value($$value)},get ref(){return ref2()},set ref($$value){ref2($$value)}})}var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var button=root_1$W(),node_3=child(button);X(node_3,{class:"h-4 w-4"}),reset(button),template_effect(()=>set_attribute(button,"aria-label",value()?"Clear search":"Close")),delegated(
+"click",button,handleClear),append($$anchor2,button)};if_block(node_2,$$render=>{get$3(showClearButton)&&$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,`relative ${$$props.class??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_1$V=from_html("<!> <!>",1);function Scroll_area_scrollbar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),restProps=rest_props($$props,["$$slots","$$events",
+"$$legacy","ref","class","orientation","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex touch-none p-px transition-colors select-none",orientation()==="vertical"&&"h-full w-2.5 border-l border-l-transparent",orientation()==="horizontal"&&"h-2.5 flex-col border-t border-t-transparent",$$props.class));component(node2,()=>Scroll_area_scrollbar$1,($$anchor2,ScrollAreaPrimitive_Scrollbar)=>{ScrollAreaPrimitive_Scrollbar($$anchor2,spread_props({"dat\
+a-slot":"scroll-area-scrollbar",get orientation(){return orientation()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$V(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);component(node_2,()=>Scroll_area_thumb,($$anchor4,ScrollAreaPrimitive_Thumb)=>{ScrollAreaPrimitive_Thumb($$anchor4,{"data-slot":"scroll-area-thumb",class:"rela\
+tive flex-1 rounded-full bg-border"})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_1$U=from_html("<!> <!> <!> <!>",1);function Scroll_area($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),orientation=prop($$props,"orientation",3,"vertical"),scrollbarXClasses=prop($$props,"scrollbarXClasses",3,""),scrollbarYClasses=prop($$props,"scrollbarYClasses",3,""),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref",
+"class","orientation","scrollbarXClasses","scrollbarYClasses","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative",$$props.class));component(node2,()=>Scroll_area$1,($$anchor2,ScrollAreaPrimitive_Root)=>{ScrollAreaPrimitive_Root($$anchor2,spread_props({"data-slot":"scroll-area",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$U(),node_1=first_child(
+fragment_1);component(node_1,()=>Scroll_area_viewport,($$anchor4,ScrollAreaPrimitive_Viewport)=>{ScrollAreaPrimitive_Viewport($$anchor4,{"data-slot":"scroll-area-viewport",class:"size-full rounded-[inherit] ring-ring/10 outline-ring/50 transition-[color,box-shadow] focus-visible:ring-4 focus-visible:outline-1 dark:ring-ring/20 dark:outline-ring/40",children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);snippet(node_2,()=>$$props.children??noop$3),append($$anchor5,
+fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"vertical",get class(){return scrollbarYClasses()}})};if_block(node_3,$$render=>{(orientation()==="vertical"||orientation()==="both")&&$$render(consequent)})}var node_4=sibling(node_3,2);{var consequent_1=$$anchor4=>{Scroll_area_scrollbar($$anchor4,{orientation:"horizontal",get class(){return scrollbarXClasses()}})};if_block(node_4,$$render=>{(orientation()===
+"horizontal"||orientation()==="both")&&$$render(consequent_1)})}var node_5=sibling(node_4,2);component(node_5,()=>Scroll_area_corner,($$anchor4,ScrollAreaPrimitive_Corner)=>{ScrollAreaPrimitive_Corner($$anchor4,{})}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_3$W=from_html('<tr><td colspan="3" class="p-8 text-center text-sm text-muted-foreground"><!></td></tr>'),root_7$s=from_html('<tr class="cursor-pointer border-b transition-colors hover:bg\
+-muted/50"><td class="p-3"><!></td><td class="p-3 text-sm"><div class="max-w-[17rem] truncate"> </div></td><td class="p-3 text-sm text-muted-foreground"> </td></tr>'),root_2$14=from_html('<table class="w-full"><thead class="sticky top-0 z-10 bg-muted"><tr class="border-b"><th class="w-12 p-3 text-left"><!></th><th class="p-3 text-left text-sm font-medium">Conversation Name</th><th class="w-32 p-3 text-left text-sm font-medium">Messages</th></tr></thead><tbody><!></tbody></table>'),root$1C=from_html(
+'<div class="space-y-4"><!> <div class="flex items-center justify-between text-sm text-muted-foreground"><span> <!></span></div> <div class="overflow-hidden rounded-md border"><!></div> <div class="flex justify-end gap-2"><!> <!></div></div>');function ConversationSelection($$anchor,$$props){push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),searchQuery=state$1(""),selectedIds=state$1(getInitialSelectedIds()),lastClickedId=state$1(null);function getInitialSelectedIds(){
+return new SvelteSet($$props.conversations.map(c2=>c2.id))}let filteredConversations=user_derived(()=>$$props.conversations.filter(conv=>(conv.name||"Untitled conversation").toLowerCase().includes(get$3(searchQuery).toLowerCase()))),allSelected=user_derived(()=>get$3(filteredConversations).length>0&&get$3(filteredConversations).every(conv=>get$3(selectedIds).has(conv.id))),someSelected=user_derived(()=>get$3(filteredConversations).some(conv=>get$3(selectedIds).has(conv.id))&&!get$3(allSelected));
+function toggleConversation(id2,shiftKey=!1){const newSet=new SvelteSet(get$3(selectedIds));if(shiftKey&&get$3(lastClickedId)!==null){const lastIndex=get$3(filteredConversations).findIndex(c2=>c2.id===get$3(lastClickedId)),currentIndex=get$3(filteredConversations).findIndex(c2=>c2.id===id2);if(lastIndex!==-1&&currentIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex),shouldSelect=!newSet.has(id2);for(let i=start2;i<=end;i++)shouldSelect?newSet.add(get$3(
+filteredConversations)[i].id):newSet.delete(get$3(filteredConversations)[i].id);set$1(selectedIds,newSet);return}}newSet.has(id2)?newSet.delete(id2):newSet.add(id2),set$1(selectedIds,newSet),set$1(lastClickedId,id2,!0)}function toggleAll(){if(get$3(allSelected)){const newSet=new SvelteSet(get$3(selectedIds));get$3(filteredConversations).forEach(conv=>newSet.delete(conv.id)),set$1(selectedIds,newSet)}else{const newSet=new SvelteSet(get$3(selectedIds));get$3(filteredConversations).forEach(conv=>newSet.
+add(conv.id)),set$1(selectedIds,newSet)}}function handleConfirm(){const selected=$$props.conversations.filter(conv=>get$3(selectedIds).has(conv.id));$$props.onConfirm(selected)}function handleCancel(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null),$$props.onCancel()}function reset$1(){set$1(selectedIds,getInitialSelectedIds()),set$1(searchQuery,""),set$1(lastClickedId,null)}var $$exports={reset:reset$1},div=root$1C(),node2=child(div);SearchInput(node2,
+{placeholder:"Search conversations...",get value(){return get$3(searchQuery)},set value($$value){set$1(searchQuery,$$value,!0)}});var div_1=sibling(node2,2),span=child(div_1),text2=child(span),node_1=sibling(text2);{var consequent=$$anchor2=>{var text_1=text$8();template_effect(()=>set_text(text_1,`(${get$3(filteredConversations).length??""} shown)`)),append($$anchor2,text_1)};if_block(node_1,$$render=>{get$3(searchQuery)&&$$render(consequent)})}reset(span),reset(div_1);var div_2=sibling(div_1,2),
+node_2=child(div_2);Scroll_area(node_2,{class:"h-[400px]",children:($$anchor2,$$slotProps)=>{var table2=root_2$14(),thead2=child(table2),tr2=child(thead2),th=child(tr2),node_3=child(th);Checkbox(node_3,{get checked(){return get$3(allSelected)},get indeterminate(){return get$3(someSelected)},onCheckedChange:toggleAll}),reset(th),next$1(2),reset(tr2),reset(thead2);var tbody2=sibling(thead2),node_4=child(tbody2);{var consequent_2=$$anchor3=>{var tr_1=root_3$W(),td=child(tr_1),node_5=child(td);{var consequent_1=$$anchor4=>{
+var text_2=text$8();template_effect(()=>set_text(text_2,`No conversations found matching "${get$3(searchQuery)??""}"`)),append($$anchor4,text_2)},alternate=$$anchor4=>{var text_3=text$8("No conversations available");append($$anchor4,text_3)};if_block(node_5,$$render=>{get$3(searchQuery)?$$render(consequent_1):$$render(alternate,-1)})}reset(td),reset(tr_1),append($$anchor3,tr_1)},alternate_1=$$anchor3=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);each(node_6,17,()=>get$3(filteredConversations),
+conv=>conv.id,($$anchor4,conv)=>{var tr_2=root_7$s(),td_1=child(tr_2),node_7=child(td_1);{let $0=user_derived(()=>get$3(selectedIds).has(get$3(conv).id));Checkbox(node_7,{get checked(){return get$3($0)},onclick:event2=>{event2.preventDefault(),event2.stopPropagation(),toggleConversation(get$3(conv).id,event2.shiftKey)}})}reset(td_1);var td_2=sibling(td_1),div_3=child(td_2),text_4=child(div_3,!0);reset(div_3),reset(td_2);var td_3=sibling(td_2),text_5=child(td_3,!0);reset(td_3),reset(tr_2),template_effect(
+$0=>{set_attribute(div_3,"title",get$3(conv).name||"Untitled conversation"),set_text(text_4,get$3(conv).name||"Untitled conversation"),set_text(text_5,$0)},[()=>messageCountMap().get(get$3(conv).id)??0]),delegated("click",tr_2,event2=>toggleConversation(get$3(conv).id,event2.shiftKey)),append($$anchor4,tr_2)}),append($$anchor3,fragment_2)};if_block(node_4,$$render=>{get$3(filteredConversations).length===0?$$render(consequent_2):$$render(alternate_1,-1)})}reset(tbody2),reset(table2),append($$anchor2,
+table2)},$$slots:{default:!0}}),reset(div_2);var div_4=sibling(div_2,2),node_8=child(div_4);Button(node_8,{variant:"outline",onclick:handleCancel,children:($$anchor2,$$slotProps)=>{next$1();var text_6=text$8("Cancel");append($$anchor2,text_6)},$$slots:{default:!0}});var node_9=sibling(node_8,2);{let $0=user_derived(()=>get$3(selectedIds).size===0);Button(node_9,{onclick:handleConfirm,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_7=text$8();template_effect(
+()=>set_text(text_7,`${$$props.mode==="export"?"Export":"Import"} (${get$3(selectedIds).size??""})`)),append($$anchor2,text_7)},$$slots:{default:!0}})}return reset(div_4),reset(div),template_effect(()=>set_text(text2,`${get$3(selectedIds).size??""} of ${$$props.conversations.length??""} selected `)),append($$anchor,div),pop($$exports)}delegate(["click"]);var root$1B=from_html('<div><button aria-label="Scroll left"><!></button> <div><!></div> <button aria-label="Scroll right"><!></button></div>');
+function HorizontalScrollCarousel($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),gapSize=prop($$props,"gapSize",3,"3"),canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);function scrollLeft(event2){event2?.stopPropagation(),event2?.preventDefault(),get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*-.67,behavior:"smooth"})}function scrollRight(event2){event2?.stopPropagation(),event2?.preventDefault(),
+get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:get$3(scrollContainer).clientWidth*.67,behavior:"smooth"})}function updateScrollButtons(){if(!get$3(scrollContainer))return;const{scrollLeft:scrollLeft2,scrollWidth,clientWidth}=get$3(scrollContainer);set$1(canScrollLeft,scrollLeft2>0),set$1(canScrollRight,scrollLeft2<scrollWidth-clientWidth-1);const isScrollable=scrollWidth>clientWidth;$$props.onScrollableChange?.(isScrollable)}function resetScroll(){get$3(scrollContainer)&&(get$3(scrollContainer).
+scrollLeft=0,setTimeout(()=>{updateScrollButtons()},0))}user_effect(()=>{get$3(scrollContainer)&&setTimeout(()=>{updateScrollButtons()},0)});var $$exports={resetScroll},div=root$1B(),button=child(div),node2=child(button);Chevron_left(node2,{class:"h-4 w-4"}),reset(button);var div_1=sibling(button,2),node_1=child(div_1);snippet(node_1,()=>$$props.children??noop$3),reset(div_1),bind_this(div_1,$$value=>set$1(scrollContainer,$$value),()=>get$3(scrollContainer));var button_1=sibling(div_1,2),node_2=child(
+button_1);return Chevron_right(node_2,{class:"h-4 w-4"}),reset(button_1),reset(div),template_effect(()=>{set_class(div,1,`relative ${className()??""}`),set_class(button,1,`absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 ${get$3(canScrollLeft)?"opacity-100":"pointer-events-none opacity-0"}`),set_class(div_1,1,`scrollbar-hide flex items-start gap-${gapSize()??""}\
+ overflow-x-auto`),set_class(button_1,1,`absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 ${get$3(canScrollRight)?"opacity-100":"pointer-events-none opacity-0"}`)}),delegated("click",button,scrollLeft),event("scroll",div_1,updateScrollButtons),delegated("click",button_1,scrollRight),append($$anchor,div),pop($$exports)}delegate(["click"]);var root_3$V=from_html(
+'<span class="block truncate"> </span>'),root_4$B=from_html("<p> </p>"),root_2$13=from_html("<!> <!>",1),root_5$v=from_html("<span> </span>");function TruncatedText($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showTooltip=prop($$props,"showTooltip",3,!0),textElement=state$1(void 0),isTruncated=state$1(!1);function checkTruncation(){get$3(textElement)&&set$1(isTruncated,get$3(textElement).scrollWidth>get$3(textElement).clientWidth)}user_effect(()=>{if(get$3(textElement)){
+checkTruncation();const observer=new ResizeObserver(checkTruncation);return observer.observe(get$3(textElement)),()=>observer.disconnect()}});var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$13(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{
+Tooltip_Trigger($$anchor5,{get class(){return`${className()??""} min-w-0`},children:($$anchor6,$$slotProps2)=>{var span=root_3$V(),text_1=child(span,!0);reset(span),bind_this(span,$$value=>set$1(textElement,$$value),()=>get$3(textElement)),template_effect(()=>set_text(text_1,$$props.text)),append($$anchor6,span)},$$slots:{default:!0}})});var node_3=sibling(node_2,2);component(node_3,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{class:"z-[9999]",children:($$anchor6,$$slotProps2)=>{
+var p2=root_4$B(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,$$props.text)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var span_1=root_5$v(),text_3=child(span_1,!0);reset(span_1),bind_this(span_1,$$value=>set$1(textElement,$$value),()=>get$3(textElement)),template_effect(()=>{set_class(span_1,1,`${className()??""} block min-w-0 truncate`),set_text(text_3,$$props.text)}),
+append($$anchor2,span_1)};if_block(node2,$$render=>{get$3(isTruncated)&&showTooltip()?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$U=from_html("<span>⌘</span>"),root_5$u=from_html("<span></span>"),root_1$T=from_html("<!> <!>",1),root$1A=from_html("<kbd></kbd>");function KeyboardShortcutInfo($$anchor,$$props){push$1($$props,!0);let variant=prop($$props,"variant",3,"default"),className=prop($$props,"class",3,""),variantClasses=user_derived(()=>variant()===
+"destructive"?"text-destructive":"text-muted-foreground");var kbd=root$1A();each(kbd,21,()=>$$props.keys,index$2,($$anchor2,key2,index2)=>{var fragment=root_1$T(),node2=first_child(fragment);{var consequent=$$anchor3=>{{let $0=user_derived(()=>variant()==="destructive"?"text-destructive":"");Arrow_big_up($$anchor3,{get class(){return`h-1 w-1 ${get$3($0)??""} -mr-1`}})}},consequent_1=$$anchor3=>{var span=root_3$U();template_effect(()=>set_class(span,1,clsx(variant()==="destructive"?"text-destruct\
+ive":""))),append($$anchor3,span)},alternate=$$anchor3=>{var text2=text$8();template_effect($0=>set_text(text2,$0),[()=>get$3(key2).toUpperCase()]),append($$anchor3,text2)};if_block(node2,$$render=>{get$3(key2)==="shift"?$$render(consequent):get$3(key2)==="cmd"?$$render(consequent_1,1):$$render(alternate,-1)})}var node_1=sibling(node2,2);{var consequent_2=$$anchor3=>{var span_1=root_5$u();append($$anchor3,span_1)};if_block(node_1,$$render=>{index2<$$props.keys.length-1&&$$render(consequent_2)})}
+append($$anchor2,fragment)}),reset(kbd),template_effect(()=>set_class(kbd,1,`px-1 pointer-events-none inline-flex select-none items-center gap-0.5 font-sans text-md font-medium opacity-0 transition-opacity -my-1 ${get$3(variantClasses)??""} ${className()??""}`)),append($$anchor,kbd),pop()}var root$1z=from_html('<div class="code-block-actions"><!> <!></div>');function CodeBlockActions($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);const showPreview=user_derived(()=>$$props.
+language?.toLowerCase()===FileTypeText.HTML);var div=root$1z(),node2=child(div);{let $0=user_derived(()=>!disabled()),$1=user_derived(()=>disabled()?"Code incomplete":"Copy code");ActionIconCopyToClipboard(node2,{get text(){return $$props.code},get canCopy(){return get$3($0)},get ariaLabel(){return get$3($1)}})}var node_1=sibling(node2,2);{var consequent=$$anchor2=>{{let $0=user_derived(()=>disabled()?"Code incomplete":"Preview code");ActionIcon($$anchor2,{get icon(){return Eye},get tooltip(){return get$3(
+$0)},get disabled(){return disabled()},onclick:()=>$$props.onPreview($$props.code,$$props.language)})}};if_block(node_1,$$render=>{get$3(showPreview)&&$$render(consequent)})}reset(div),append($$anchor,div),pop()}var root_4$A=from_html('<img class="h-12 w-12 object-cover"/>'),root_5$t=from_html('<div class="bg-foreground-muted/50 flex h-12 w-12 flex-col items-center justify-center gap-0.5 py-1"><!> <span class="font-mono text-[9px] text-white/60"> </span></div>'),root_3$T=from_html("<button><!></\
+button>"),root_1$S=from_html('<div class="sticky bottom-0 z-10 mt-4 flex-shrink-0"><!></div>');function ChatAttachmentsPreviewThumbnailStrip($$anchor,$$props){push$1($$props,!0);function getFileExtension(name){const parts=name.split(".");return parts.length>1?parts.pop()?.toUpperCase()??"":""}var fragment=comment$2(),node2=first_child(fragment);{var consequent_2=$$anchor2=>{var div=root_1$S(),node_1=child(div);HorizontalScrollCarousel(node_1,{class:"max-w-full",children:($$anchor3,$$slotProps)=>{
+var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>$$props.items,item=>item.id,($$anchor4,item,index2)=>{var button=root_3$T(),node_3=child(button);{var consequent=$$anchor5=>{var img=root_4$A();template_effect(()=>{set_attribute(img,"src",get$3(item).preview),set_attribute(img,"alt",get$3(item).name)}),append($$anchor5,img)},alternate_1=$$anchor5=>{var div_1=root_5$t(),node_4=child(div_1);{var consequent_1=$$anchor6=>{Music($$anchor6,{class:"h-4 w-4 text-white/70"})},alternate=$$anchor6=>{
+File_text($$anchor6,{class:"h-4 w-4 text-white/70"})};if_block(node_4,$$render=>{get$3(item).isAudio?$$render(consequent_1):$$render(alternate,-1)})}var span=sibling(node_4,2),text2=child(span,!0);reset(span),reset(div_1),template_effect($0=>set_text(text2,$0),[()=>getFileExtension(get$3(item).name)]),append($$anchor5,div_1)};if_block(node_3,$$render=>{get$3(item).isImage&&get$3(item).preview?$$render(consequent):$$render(alternate_1,-1)})}reset(button),template_effect(()=>{set_attribute(button,
+"data-thumbnail-index",get$3(index2)),set_class(button,1,clsx(["relative flex-shrink-0 cursor-pointer overflow-hidden rounded border-2 bg-black/80 backdrop-blur-sm transition-all hover:opacity-90",get$3(index2)===$$props.currentIndex?"border-white":"border-transparent opacity-60","[&:not(:first-child)]:last:mr-4 [&:not(:last-child)]:first:ml-4"])),set_attribute(button,"aria-label",`Go to ${get$3(item).name}`)}),delegated("click",button,()=>$$props.onNavigate(get$3(index2))),append($$anchor4,button)}),
+append($$anchor3,fragment_1)},$$slots:{default:!0}}),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.items.length>1&&$$render(consequent_2)})}append($$anchor,fragment),pop()}delegate(["click"]);const alertVariants=tv({base:"relative grid w-full grid-cols-[0_1fr] items-start gap-y-0.5 rounded-lg border px-4 py-3 text-sm has-[>svg]:grid-cols-[calc(var(--spacing)*4)_1fr] has-[>svg]:gap-x-3 [&>svg]:size-4 [&>svg]:translate-y-0.5 [&>svg]:text-current",variants:{variant:{default:"b\
+g-card text-card-foreground",destructive:"text-destructive bg-card *:data-[slot=alert-description]:text-destructive/90 [&>svg]:text-current"}},defaultVariants:{variant:"default"}});var root$1y=from_html("<div><!></div>");function Alert($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","variant","children"]);var div=root$1y();attribute_effect(div,$0=>({"d\
+ata-slot":"alert",class:$0,...restProps,role:"alert"}),[()=>cn$1(alertVariants({variant:variant()}),$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1x=from_html("<div><!></div>");function Alert_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1x();
+attribute_effect(div,$0=>({"data-slot":"alert-description",class:$0,...restProps}),[()=>cn$1("col-start-2 grid justify-items-start gap-1 text-sm text-muted-foreground [&_p]:leading-relaxed",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$1w=from_html("<div><!></div>");function Alert_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1w();attribute_effect(div,$0=>({"data-slot":"alert-title",class:$0,...restProps}),[()=>cn$1("col-start-2 line-clamp-1 min-h-4 font-medium tracking-tight",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}class AudioRecorder{mediaRecorder=null;audioChunks=[];stream=null;recordingState=!1;async startRecording(){
+try{this.stream=await navigator.mediaDevices.getUserMedia({audio:{echoCancellation:!0,noiseSuppression:!0,autoGainControl:!0}}),this.initializeRecorder(this.stream),this.audioChunks=[],this.mediaRecorder.start(100),this.recordingState=!0}catch(error2){throw console.error("Failed to start recording:",error2),new Error("Failed to access microphone. Please check permissions.")}}async stopRecording(){return new Promise((resolve2,reject)=>{const recorder=this.mediaRecorder,chunks=this.audioChunks,stream=this.
+stream;if(!recorder||recorder.state==="inactive"){reject(new Error("No active recording to stop"));return}this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.recordingState=!1,recorder.onstop=()=>{const audioBlob=new Blob(chunks,{type:recorder.mimeType||MimeTypeAudio.WAV});if(stream)for(const track2 of stream.getTracks())track2.stop();resolve2(audioBlob)},recorder.onerror=event2=>{if(console.error("Recording error:",event2),stream)for(const track2 of stream.getTracks())track2.stop();
+reject(new Error("Recording failed"))},recorder.stop()})}isRecording(){return this.recordingState}cancelRecording(){const recorder=this.mediaRecorder,stream=this.stream;if(this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.recordingState=!1,recorder&&recorder.state!=="inactive"&&(recorder.onstop=null,recorder.onerror=null,recorder.stop()),stream)for(const track2 of stream.getTracks())track2.stop()}initializeRecorder(stream){const options={};MediaRecorder.isTypeSupported(MimeTypeAudio.
+WAV)?options.mimeType=MimeTypeAudio.WAV:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM_OPUS)?options.mimeType=MimeTypeAudio.WEBM_OPUS:MediaRecorder.isTypeSupported(MimeTypeAudio.WEBM)?options.mimeType=MimeTypeAudio.WEBM:MediaRecorder.isTypeSupported(MimeTypeAudio.MP4)?options.mimeType=MimeTypeAudio.MP4:console.warn("No preferred audio format supported, using default"),this.mediaRecorder=new MediaRecorder(stream,options),this.mediaRecorder.ondataavailable=event2=>{event2.data.size>0&&this.audioChunks.
+push(event2.data)},this.mediaRecorder.onstop=()=>{this.recordingState=!1},this.mediaRecorder.onerror=event2=>{console.error("MediaRecorder error:",event2),this.recordingState=!1}}}async function convertToWav(audioBlob){try{if(audioBlob.type.includes("wav"))return audioBlob;const arrayBuffer=await audioBlob.arrayBuffer(),audioContext=new(window.AudioContext||window.webkitAudioContext);try{const audioBuffer=await audioContext.decodeAudioData(arrayBuffer);return audioBufferToWav(audioBuffer)}finally{
+audioContext.close()}}catch(error2){return console.error("Failed to convert audio to WAV:",error2),audioBlob}}function audioBufferToWav(buffer){const length=buffer.length,numberOfChannels=buffer.numberOfChannels,sampleRate=buffer.sampleRate,blockAlign=numberOfChannels*2,byteRate=sampleRate*blockAlign,dataSize=length*blockAlign,bufferSize=44+dataSize,arrayBuffer=new ArrayBuffer(bufferSize),view=new DataView(arrayBuffer),writeString=(offset2,string2)=>{for(let i=0;i<string2.length;i++)view.setUint8(
+offset2+i,string2.charCodeAt(i))};writeString(0,"RIFF"),view.setUint32(4,bufferSize-8,!0),writeString(8,"WAVE"),writeString(12,"fmt "),view.setUint32(16,16,!0),view.setUint16(20,1,!0),view.setUint16(22,numberOfChannels,!0),view.setUint32(24,sampleRate,!0),view.setUint32(28,byteRate,!0),view.setUint16(32,blockAlign,!0),view.setUint16(34,16,!0),writeString(36,"data"),view.setUint32(40,dataSize,!0);const channels=new Array(numberOfChannels);for(let c2=0;c2<numberOfChannels;c2++)channels[c2]=buffer.
+getChannelData(c2);const pcm=new Int16Array(arrayBuffer,44,length*numberOfChannels);let p2=0;for(let i=0;i<length;i++)for(let c2=0;c2<numberOfChannels;c2++){let s2=channels[c2][i];s2>1?s2=1:s2<-1&&(s2=-1),pcm[p2++]=s2*32767}return new Blob([arrayBuffer],{type:MimeTypeAudio.WAV})}function createAudioFile(audioBlob,filename){const timestamp=new Date().toISOString().replace(/[:.]/g,"-"),extension2=audioBlob.type.includes("wav")?"wav":"mp3",defaultFilename=`recording-${timestamp}.${extension2}`;return new File(
+[audioBlob],defaultFilename,{type:audioBlob.type,lastModified:Date.now()})}function isAudioRecordingSupported(){return!!(typeof navigator<"u"&&navigator.mediaDevices&&typeof navigator.mediaDevices.getUserMedia=="function"&&typeof window<"u"&&window.MediaRecorder)}const isNodeJS=typeof process=="object"&&process+""=="[object process]"&&!process.versions.nw&&!(process.versions.electron&&process.type&&process.type!=="browser"),FONT_IDENTITY_MATRIX=[.001,0,0,.001,0,0],LINE_FACTOR=1.35,RenderingIntentFlag={
+ANY:1,DISPLAY:2,PRINT:4,ANNOTATIONS_FORMS:16,ANNOTATIONS_STORAGE:32,ANNOTATIONS_DISABLE:64,IS_EDITING:128,OPLIST:256},AnnotationMode={DISABLE:0,ENABLE:1,ENABLE_FORMS:2,ENABLE_STORAGE:3},AnnotationEditorPrefix="pdfjs_internal_editor_",AnnotationEditorType={DISABLE:-1,NONE:0,FREETEXT:3,HIGHLIGHT:9,STAMP:13,INK:15,SIGNATURE:101,COMMENT:102},AnnotationEditorParamsType={RESIZE:1,CREATE:2,FREETEXT_SIZE:11,FREETEXT_COLOR:12,FREETEXT_OPACITY:13,INK_COLOR:21,INK_THICKNESS:22,INK_OPACITY:23,HIGHLIGHT_COLOR:31,
+HIGHLIGHT_THICKNESS:32,HIGHLIGHT_FREE:33,HIGHLIGHT_SHOW_ALL:34,DRAW_STEP:41},PermissionFlag={PRINT:4,MODIFY_CONTENTS:8,COPY:16,MODIFY_ANNOTATIONS:32,FILL_INTERACTIVE_FORMS:256,COPY_FOR_ACCESSIBILITY:512,ASSEMBLE:1024,PRINT_HIGH_QUALITY:2048},TextRenderingMode={FILL:0,STROKE:1,FILL_STROKE:2,INVISIBLE:3,FILL_STROKE_MASK:3,ADD_TO_PATH_FLAG:4},util_ImageKind={GRAYSCALE_1BPP:1,RGB_24BPP:2,RGBA_32BPP:3},AnnotationType={TEXT:1,LINK:2,FREETEXT:3,LINE:4,SQUARE:5,CIRCLE:6,POLYGON:7,POLYLINE:8,HIGHLIGHT:9,
+UNDERLINE:10,SQUIGGLY:11,STRIKEOUT:12,STAMP:13,CARET:14,INK:15,POPUP:16,FILEATTACHMENT:17,SOUND:18,MOVIE:19,WIDGET:20,SCREEN:21,PRINTERMARK:22,TRAPNET:23,WATERMARK:24,THREED:25,REDACT:26},AnnotationBorderStyleType={SOLID:1,DASHED:2,BEVELED:3,INSET:4,UNDERLINE:5},VerbosityLevel={ERRORS:0,WARNINGS:1,INFOS:5},OPS={dependency:1,setLineWidth:2,setLineCap:3,setLineJoin:4,setMiterLimit:5,setDash:6,setRenderingIntent:7,setFlatness:8,setGState:9,save:10,restore:11,transform:12,moveTo:13,lineTo:14,curveTo:15,
+curveTo2:16,curveTo3:17,closePath:18,rectangle:19,stroke:20,closeStroke:21,fill:22,eoFill:23,fillStroke:24,eoFillStroke:25,closeFillStroke:26,closeEOFillStroke:27,endPath:28,clip:29,eoClip:30,beginText:31,endText:32,setCharSpacing:33,setWordSpacing:34,setHScale:35,setLeading:36,setFont:37,setTextRenderingMode:38,setTextRise:39,moveText:40,setLeadingMoveText:41,setTextMatrix:42,nextLine:43,showText:44,showSpacedText:45,nextLineShowText:46,nextLineSetSpacingShowText:47,setCharWidth:48,setCharWidthAndBounds:49,
+setStrokeColorSpace:50,setFillColorSpace:51,setStrokeColor:52,setStrokeColorN:53,setFillColor:54,setFillColorN:55,setStrokeGray:56,setFillGray:57,setStrokeRGBColor:58,setFillRGBColor:59,setStrokeCMYKColor:60,setFillCMYKColor:61,shadingFill:62,beginInlineImage:63,beginImageData:64,endInlineImage:65,paintXObject:66,markPoint:67,markPointProps:68,beginMarkedContent:69,beginMarkedContentProps:70,endMarkedContent:71,beginCompat:72,endCompat:73,paintFormXObjectBegin:74,paintFormXObjectEnd:75,beginGroup:76,
+endGroup:77,beginAnnotation:80,endAnnotation:81,paintImageMaskXObject:83,paintImageMaskXObjectGroup:84,paintImageXObject:85,paintInlineImageXObject:86,paintInlineImageXObjectGroup:87,paintImageXObjectRepeat:88,paintImageMaskXObjectRepeat:89,paintSolidColorImageMask:90,constructPath:91,setStrokeTransparent:92,setFillTransparent:93,rawFillPath:94},DrawOPS={moveTo:0,lineTo:1,curveTo:2,closePath:3},PasswordResponses={NEED_PASSWORD:1,INCORRECT_PASSWORD:2};let verbosity=VerbosityLevel.WARNINGS;function setVerbosityLevel(level){
+Number.isInteger(level)&&(verbosity=level)}function getVerbosityLevel(){return verbosity}function info(msg){verbosity>=VerbosityLevel.INFOS&&console.log(`Info: ${msg}`)}function warn(msg){verbosity>=VerbosityLevel.WARNINGS&&console.log(`Warning: ${msg}`)}function unreachable(msg){throw new Error(msg)}function assert$1(cond,msg){cond||unreachable(msg)}function _isValidProtocol(url2){switch(url2?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}function createValidAbsoluteUrl(url2,baseUrl=null,options=null){
+if(!url2)return null;if(options&&typeof url2=="string"&&(options.addDefaultProtocol&&url2.startsWith("www.")&&url2.match(/\./g)?.length>=2&&(url2=`http://${url2}`),options.tryConvertEncoding))try{url2=stringToUTF8String(url2)}catch{}const absoluteUrl=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return _isValidProtocol(absoluteUrl)?absoluteUrl:null}function updateUrlHash(url2,hash2,allowRel=!1){const res=URL.parse(url2);return res?(res.hash=hash2,res.href):allowRel&&createValidAbsoluteUrl(url2,
+"http://example.com")?url2.split("#",1)[0]+`${hash2?`#${hash2}`:""}`:""}function shadow(obj,prop2,value,nonSerializable=!1){return Object.defineProperty(obj,prop2,{value,enumerable:!nonSerializable,configurable:!0,writable:!1}),value}const BaseException=(function(){function BaseException2(message,name){this.message=message,this.name=name}return BaseException2.prototype=new Error,BaseException2.constructor=BaseException2,BaseException2})();class PasswordException extends BaseException{constructor(msg,code2){
+super(msg,"PasswordException"),this.code=code2}}class UnknownErrorException extends BaseException{constructor(msg,details){super(msg,"UnknownErrorException"),this.details=details}}class InvalidPDFException extends BaseException{constructor(msg){super(msg,"InvalidPDFException")}}class ResponseException extends BaseException{constructor(msg,status,missing){super(msg,"ResponseException"),this.status=status,this.missing=missing}}class FormatError extends BaseException{constructor(msg){super(msg,"For\
+matError")}}class AbortException extends BaseException{constructor(msg){super(msg,"AbortException")}}function bytesToString(bytes){(typeof bytes!="object"||bytes?.length===void 0)&&unreachable("Invalid argument for bytesToString");const length=bytes.length,MAX_ARGUMENT_COUNT=8192;if(length<MAX_ARGUMENT_COUNT)return String.fromCharCode.apply(null,bytes);const strBuf=[];for(let i=0;i<length;i+=MAX_ARGUMENT_COUNT){const chunkEnd=Math.min(i+MAX_ARGUMENT_COUNT,length),chunk=bytes.subarray(i,chunkEnd);
+strBuf.push(String.fromCharCode.apply(null,chunk))}return strBuf.join("")}function stringToBytes(str){typeof str!="string"&&unreachable("Invalid argument for stringToBytes");const length=str.length,bytes=new Uint8Array(length);for(let i=0;i<length;++i)bytes[i]=str.charCodeAt(i)&255;return bytes}function string32(value){return String.fromCharCode(value>>24&255,value>>16&255,value>>8&255,value&255)}function isLittleEndian(){const buffer8=new Uint8Array(4);return buffer8[0]=1,new Uint32Array(buffer8.
+buffer,0,1)[0]===1}function isEvalSupported(){try{return new Function(""),!0}catch{return!1}}class util_FeatureTest{static get isLittleEndian(){return shadow(this,"isLittleEndian",isLittleEndian())}static get isEvalSupported(){return shadow(this,"isEvalSupported",isEvalSupported())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported",typeof OffscreenCanvas<"u")}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported",typeof ImageDecoder<
+"u")}static get platform(){const{platform:platform2,userAgent}=navigator;return shadow(this,"platform",{isAndroid:userAgent.includes("Android"),isLinux:platform2.includes("Linux"),isMac:platform2.includes("Mac"),isWindows:platform2.includes("Win"),isFirefox:userAgent.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const hexNumbers=Array.from(Array(256).keys(),n=>n.toString(16).padStart(2,"0"));
+class Util{static makeHexColor(r2,g,b){return`#${hexNumbers[r2]}${hexNumbers[g]}${hexNumbers[b]}`}static scaleMinMax(transform2,minMax){let temp;transform2[0]?(transform2[0]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[0],minMax[2]*=transform2[0],transform2[3]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[3],minMax[3]*=transform2[3]):(temp=minMax[0],minMax[0]=minMax[1],minMax[1]=temp,temp=minMax[2],minMax[2]=minMax[3],minMax[3]=temp,
+transform2[1]<0&&(temp=minMax[1],minMax[1]=minMax[3],minMax[3]=temp),minMax[1]*=transform2[1],minMax[3]*=transform2[1],transform2[2]<0&&(temp=minMax[0],minMax[0]=minMax[2],minMax[2]=temp),minMax[0]*=transform2[2],minMax[2]*=transform2[2]),minMax[0]+=transform2[4],minMax[1]+=transform2[5],minMax[2]+=transform2[4],minMax[3]+=transform2[5]}static transform(m1,m2){return[m1[0]*m2[0]+m1[2]*m2[1],m1[1]*m2[0]+m1[3]*m2[1],m1[0]*m2[2]+m1[2]*m2[3],m1[1]*m2[2]+m1[3]*m2[3],m1[0]*m2[4]+m1[2]*m2[5]+m1[4],m1[1]*
+m2[4]+m1[3]*m2[5]+m1[5]]}static applyTransform(p2,m,pos=0){const p0=p2[pos],p1=p2[pos+1];p2[pos]=p0*m[0]+p1*m[2]+m[4],p2[pos+1]=p0*m[1]+p1*m[3]+m[5]}static applyTransformToBezier(p2,transform2,pos=0){const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5];for(let i=0;i<6;i+=2){const pI=p2[pos+i],pI1=p2[pos+i+1];p2[pos+i]=pI*m0+pI1*m2+m4,p2[pos+i+1]=pI*m1+pI1*m3+m5}}static applyInverseTransform(p2,m){const p0=p2[0],p1=p2[1],d2=m[0]*m[3]-m[1]*m[2];
+p2[0]=(p0*m[3]-p1*m[2]+m[2]*m[5]-m[4]*m[3])/d2,p2[1]=(-p0*m[1]+p1*m[0]+m[4]*m[1]-m[5]*m[0])/d2}static axialAlignedBoundingBox(rect,transform2,output){const m0=transform2[0],m1=transform2[1],m2=transform2[2],m3=transform2[3],m4=transform2[4],m5=transform2[5],r0=rect[0],r1=rect[1],r2=rect[2],r3=rect[3];let a0=m0*r0+m4,a2=a0,a1=m0*r2+m4,a3=a1,b0=m3*r1+m5,b2=b0,b1=m3*r3+m5,b3=b1;if(m1!==0||m2!==0){const m1r0=m1*r0,m1r2=m1*r2,m2r1=m2*r1,m2r3=m2*r3;a0+=m2r1,a3+=m2r1,a1+=m2r3,a2+=m2r3,b0+=m1r0,b3+=m1r0,
+b1+=m1r2,b2+=m1r2}output[0]=Math.min(output[0],a0,a1,a2,a3),output[1]=Math.min(output[1],b0,b1,b2,b3),output[2]=Math.max(output[2],a0,a1,a2,a3),output[3]=Math.max(output[3],b0,b1,b2,b3)}static inverseTransform(m){const d2=m[0]*m[3]-m[1]*m[2];return[m[3]/d2,-m[1]/d2,-m[2]/d2,m[0]/d2,(m[2]*m[5]-m[4]*m[3])/d2,(m[4]*m[1]-m[5]*m[0])/d2]}static singularValueDecompose2dScale(matrix,output){const m0=matrix[0],m1=matrix[1],m2=matrix[2],m3=matrix[3],a=m0**2+m1**2,b=m0*m2+m1*m3,c2=m2**2+m3**2,first=(a+c2)/
+2,second=Math.sqrt(first**2-(a*c2-b**2));output[0]=Math.sqrt(first+second||1),output[1]=Math.sqrt(first-second||1)}static normalizeRect(rect){const r2=rect.slice(0);return rect[0]>rect[2]&&(r2[0]=rect[2],r2[2]=rect[0]),rect[1]>rect[3]&&(r2[1]=rect[3],r2[3]=rect[1]),r2}static intersect(rect1,rect2){const xLow=Math.max(Math.min(rect1[0],rect1[2]),Math.min(rect2[0],rect2[2])),xHigh=Math.min(Math.max(rect1[0],rect1[2]),Math.max(rect2[0],rect2[2]));if(xLow>xHigh)return null;const yLow=Math.max(Math.min(
+rect1[1],rect1[3]),Math.min(rect2[1],rect2[3])),yHigh=Math.min(Math.max(rect1[1],rect1[3]),Math.max(rect2[1],rect2[3]));return yLow>yHigh?null:[xLow,yLow,xHigh,yHigh]}static pointBoundingBox(x,y,minMax){minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static rectBoundingBox(x0,y0,x1,y1,minMax){minMax[0]=Math.min(minMax[0],x0,x1),minMax[1]=Math.min(minMax[1],y0,y1),minMax[2]=Math.max(minMax[2],x0,x1),minMax[3]=Math.max(
+minMax[3],y0,y1)}static#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,t,minMax){if(t<=0||t>=1)return;const mt=1-t,tt=t*t,ttt=tt*t,x=mt*(mt*(mt*x0+3*t*x1)+3*tt*x2)+ttt*x3,y=mt*(mt*(mt*y0+3*t*y1)+3*tt*y2)+ttt*y3;minMax[0]=Math.min(minMax[0],x),minMax[1]=Math.min(minMax[1],y),minMax[2]=Math.max(minMax[2],x),minMax[3]=Math.max(minMax[3],y)}static#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,a,b,c2,minMax){if(Math.abs(a)<1e-12){Math.abs(b)>=1e-12&&this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,-c2/b,minMax);return}
+const delta=b**2-4*c2*a;if(delta<0)return;const sqrtDelta=Math.sqrt(delta),a2=2*a;this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b+sqrtDelta)/a2,minMax),this.#getExtremumOnCurve(x0,x1,x2,x3,y0,y1,y2,y3,(-b-sqrtDelta)/a2,minMax)}static bezierBoundingBox(x0,y0,x1,y1,x2,y2,x3,y3,minMax){minMax[0]=Math.min(minMax[0],x0,x3),minMax[1]=Math.min(minMax[1],y0,y3),minMax[2]=Math.max(minMax[2],x0,x3),minMax[3]=Math.max(minMax[3],y0,y3),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-x0+3*(x1-x2)+x3),6*(x0-
+2*x1+x2),3*(x1-x0),minMax),this.#getExtremum(x0,x1,x2,x3,y0,y1,y2,y3,3*(-y0+3*(y1-y2)+y3),6*(y0-2*y1+y2),3*(y1-y0),minMax)}}function stringToUTF8String(str){return decodeURIComponent(escape(str))}let NormalizeRegex=null,NormalizationMap=null;function normalizeUnicode(str){return NormalizeRegex||(NormalizeRegex=/([\u00a0\u00b5\u037e\u0eb3\u2000-\u200a\u202f\u2126\ufb00-\ufb04\ufb06\ufb20-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufba1\ufba4-\ufba9\ufbae-\ufbb1\ufbd3-\ufbdc\ufbde-\ufbe7\ufbea-\ufbf8\ufbfc-\ufbfd\ufc00-\ufc5d\ufc64-\ufcf1\ufcf5-\ufd3d\ufd88\ufdf4\ufdfa-\ufdfb\ufe71\ufe77\ufe79\ufe7b\ufe7d]+)|(\ufb05+)/gu,
+NormalizationMap=new Map([["ſt","ſt"]])),str.replaceAll(NormalizeRegex,(_,p1,p2)=>p1?p1.normalize("NFKC"):NormalizationMap.get(p2))}function getUuid(){if(typeof crypto.randomUUID=="function")return crypto.randomUUID();const buf=new Uint8Array(32);return crypto.getRandomValues(buf),bytesToString(buf)}const AnnotationPrefix="pdfjs_internal_id_";function _isValidExplicitDest(validRef,validName,dest){if(!Array.isArray(dest)||dest.length<2)return!1;const[page2,zoom,...args]=dest;if(!validRef(page2)&&
+!Number.isInteger(page2)||!validName(zoom))return!1;const argsLen=args.length;let allowNull=!0;switch(zoom.name){case"XYZ":if(argsLen<2||argsLen>3)return!1;break;case"Fit":case"FitB":return argsLen===0;case"FitH":case"FitBH":case"FitV":case"FitBV":if(argsLen>1)return!1;break;case"FitR":if(argsLen!==4)return!1;allowNull=!1;break;default:return!1}for(const arg of args)if(!(typeof arg=="number"||allowNull&&arg===null))return!1;return!0}function MathClamp(v,min2,max2){return Math.min(Math.max(v,min2),
+max2)}function toBase64Util(arr){return Uint8Array.prototype.toBase64?arr.toBase64():btoa(bytesToString(arr))}function fromBase64Util(str){return Uint8Array.fromBase64?Uint8Array.fromBase64(str):stringToBytes(atob(str))}typeof Promise.try!="function"&&(Promise.try=function(fn,...args){return new Promise(resolve2=>{resolve2(fn(...args))})});typeof Math.sumPrecise!="function"&&(Math.sumPrecise=function(numbers){return numbers.reduce((a,b)=>a+b,0)});const SVG_NS="http://www.w3.org/2000/svg";class PixelsPerInch{static CSS=96;static PDF=72;static PDF_TO_CSS_UNITS=this.
+CSS/this.PDF}async function fetchData(url2,type2="text"){if(isValidFetchUrl(url2,document.baseURI)){const response=await fetch(url2);if(!response.ok)throw new Error(response.statusText);switch(type2){case"arraybuffer":return response.arrayBuffer();case"blob":return response.blob();case"json":return response.json()}return response.text()}return new Promise((resolve2,reject)=>{const request=new XMLHttpRequest;request.open("GET",url2,!0),request.responseType=type2,request.onreadystatechange=()=>{if(request.
+readyState===XMLHttpRequest.DONE){if(request.status===200||request.status===0){switch(type2){case"arraybuffer":case"blob":case"json":resolve2(request.response);return}resolve2(request.responseText);return}reject(new Error(request.statusText))}},request.send(null)})}class PageViewport{constructor({viewBox,userUnit,scale:scale2,rotation,offsetX=0,offsetY=0,dontFlip=!1}){this.viewBox=viewBox,this.userUnit=userUnit,this.scale=scale2,this.rotation=rotation,this.offsetX=offsetX,this.offsetY=offsetY,scale2*=
+userUnit;const centerX=(viewBox[2]+viewBox[0])/2,centerY=(viewBox[3]+viewBox[1])/2;let rotateA,rotateB,rotateC,rotateD;switch(rotation%=360,rotation<0&&(rotation+=360),rotation){case 180:rotateA=-1,rotateB=0,rotateC=0,rotateD=1;break;case 90:rotateA=0,rotateB=1,rotateC=1,rotateD=0;break;case 270:rotateA=0,rotateB=-1,rotateC=-1,rotateD=0;break;case 0:rotateA=1,rotateB=0,rotateC=0,rotateD=-1;break;default:throw new Error("PageViewport: Invalid rotation, must be a multiple of 90 degrees.")}dontFlip&&
+(rotateC=-rotateC,rotateD=-rotateD);let offsetCanvasX,offsetCanvasY,width,height;rotateA===0?(offsetCanvasX=Math.abs(centerY-viewBox[1])*scale2+offsetX,offsetCanvasY=Math.abs(centerX-viewBox[0])*scale2+offsetY,width=(viewBox[3]-viewBox[1])*scale2,height=(viewBox[2]-viewBox[0])*scale2):(offsetCanvasX=Math.abs(centerX-viewBox[0])*scale2+offsetX,offsetCanvasY=Math.abs(centerY-viewBox[1])*scale2+offsetY,width=(viewBox[2]-viewBox[0])*scale2,height=(viewBox[3]-viewBox[1])*scale2),this.transform=[rotateA*
+scale2,rotateB*scale2,rotateC*scale2,rotateD*scale2,offsetCanvasX-rotateA*scale2*centerX-rotateC*scale2*centerY,offsetCanvasY-rotateB*scale2*centerX-rotateD*scale2*centerY],this.width=width,this.height=height}get rawDims(){const dims=this.viewBox;return shadow(this,"rawDims",{pageWidth:dims[2]-dims[0],pageHeight:dims[3]-dims[1],pageX:dims[0],pageY:dims[1]})}clone({scale:scale2=this.scale,rotation=this.rotation,offsetX=this.offsetX,offsetY=this.offsetY,dontFlip=!1}={}){return new PageViewport({viewBox:this.
+viewBox.slice(),userUnit:this.userUnit,scale:scale2,rotation,offsetX,offsetY,dontFlip})}convertToViewportPoint(x,y){const p2=[x,y];return Util.applyTransform(p2,this.transform),p2}convertToViewportRectangle(rect){const topLeft=[rect[0],rect[1]];Util.applyTransform(topLeft,this.transform);const bottomRight=[rect[2],rect[3]];return Util.applyTransform(bottomRight,this.transform),[topLeft[0],topLeft[1],bottomRight[0],bottomRight[1]]}convertToPdfPoint(x,y){const p2=[x,y];return Util.applyInverseTransform(
+p2,this.transform),p2}}class RenderingCancelledException extends BaseException{constructor(msg,extraDelay=0){super(msg,"RenderingCancelledException"),this.extraDelay=extraDelay}}function isDataScheme(url2){const ii=url2.length;let i=0;for(;i<ii&&url2[i].trim()==="";)i++;return url2.substring(i,i+5).toLowerCase()==="data:"}function isPdfFile(filename){return typeof filename=="string"&&/\.pdf$/i.test(filename)}function getFilenameFromUrl(url2){return[url2]=url2.split(/[#?]/,1),url2.substring(url2.
+lastIndexOf("/")+1)}function getPdfFilenameFromUrl(url2,defaultFilename="document.pdf"){if(typeof url2!="string")return defaultFilename;if(isDataScheme(url2))return warn('getPdfFilenameFromUrl: ignore "data:"-URL for performance reasons.'),defaultFilename;const newURL=(urlString=>{try{return new URL(urlString)}catch{try{return new URL(decodeURIComponent(urlString))}catch{try{return new URL(urlString,"https://foo.bar")}catch{try{return new URL(decodeURIComponent(urlString),"https://foo.bar")}catch{
+return null}}}}})(url2);if(!newURL)return defaultFilename;const decode2=name=>{try{let decoded=decodeURIComponent(name);return decoded.includes("/")?(decoded=decoded.split("/").at(-1),decoded.test(/^\.pdf$/i)?decoded:name):decoded}catch{return name}},pdfRegex=/\.pdf$/i,filename=newURL.pathname.split("/").at(-1);if(pdfRegex.test(filename))return decode2(filename);if(newURL.searchParams.size>0){const values=Array.from(newURL.searchParams.values()).reverse();for(const value of values)if(pdfRegex.test(
+value))return decode2(value);const keys2=Array.from(newURL.searchParams.keys()).reverse();for(const key2 of keys2)if(pdfRegex.test(key2))return decode2(key2)}if(newURL.hash){const hashFilename=/[^/?#=]+\.pdf\b(?!.*\.pdf\b)/i.exec(newURL.hash);if(hashFilename)return decode2(hashFilename[0])}return defaultFilename}class StatTimer{started=Object.create(null);times=[];time(name){name in this.started&&warn(`Timer is already running for ${name}`),this.started[name]=Date.now()}timeEnd(name){name in this.
+started||warn(`Timer has not been started for ${name}`),this.times.push({name,start:this.started[name],end:Date.now()}),delete this.started[name]}toString(){const outBuf=[];let longest=0;for(const{name}of this.times)longest=Math.max(name.length,longest);for(const{name,start:start2,end}of this.times)outBuf.push(`${name.padEnd(longest)} ${end-start2}ms
+`);return outBuf.join("")}}function isValidFetchUrl(url2,baseUrl){const res=baseUrl?URL.parse(url2,baseUrl):URL.parse(url2);return res?.protocol==="http:"||res?.protocol==="https:"}function noContextMenu(e){e.preventDefault()}function stopEvent(e){e.preventDefault(),e.stopPropagation()}function deprecated(details){console.log("Deprecated API usage: "+details)}class PDFDateString{static#regex;static toDateObject(input){if(input instanceof Date)return input;if(!input||typeof input!="string")return null;
+this.#regex||=new RegExp("^D:(\\d{4})(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?(\\d{2})?([Z|+|-])?(\\d{2})?'?(\\d{2})?'?");const matches2=this.#regex.exec(input);if(!matches2)return null;const year=parseInt(matches2[1],10);let month=parseInt(matches2[2],10);month=month>=1&&month<=12?month-1:0;let day=parseInt(matches2[3],10);day=day>=1&&day<=31?day:1;let hour=parseInt(matches2[4],10);hour=hour>=0&&hour<=23?hour:0;let minute=parseInt(matches2[5],10);minute=minute>=0&&minute<=59?minute:0;let second=parseInt(
+matches2[6],10);second=second>=0&&second<=59?second:0;const universalTimeRelation=matches2[7]||"Z";let offsetHour=parseInt(matches2[8],10);offsetHour=offsetHour>=0&&offsetHour<=23?offsetHour:0;let offsetMinute=parseInt(matches2[9],10)||0;return offsetMinute=offsetMinute>=0&&offsetMinute<=59?offsetMinute:0,universalTimeRelation==="-"?(hour+=offsetHour,minute+=offsetMinute):universalTimeRelation==="+"&&(hour-=offsetHour,minute-=offsetMinute),new Date(Date.UTC(year,month,day,hour,minute,second))}}function getXfaPageViewport(xfaPage,{
+scale:scale2=1,rotation=0}){const{width,height}=xfaPage.attributes.style,viewBox=[0,0,parseInt(width),parseInt(height)];return new PageViewport({viewBox,userUnit:1,scale:scale2,rotation})}function getRGB(color){if(color.startsWith("#")){const colorRGB=parseInt(color.slice(1),16);return[(colorRGB&16711680)>>16,(colorRGB&65280)>>8,colorRGB&255]}return color.startsWith("rgb(")?color.slice(4,-1).split(",").map(x=>parseInt(x)):color.startsWith("rgba(")?color.slice(5,-1).split(",").map(x=>parseInt(x)).
+slice(0,3):(warn(`Not a valid color format: "${color}"`),[0,0,0])}function getColorValues(colors){const span=document.createElement("span");span.style.visibility="hidden",span.style.colorScheme="only light",document.body.append(span);for(const name of colors.keys()){span.style.color=name;const computedColor=window.getComputedStyle(span).color;colors.set(name,getRGB(computedColor))}span.remove()}function getCurrentTransform(ctx){const{a,b,c:c2,d:d2,e,f}=ctx.getTransform();return[a,b,c2,d2,e,f]}function getCurrentTransformInverse(ctx){
+const{a,b,c:c2,d:d2,e,f}=ctx.getTransform().invertSelf();return[a,b,c2,d2,e,f]}function setLayerDimensions(div,viewport,mustFlip=!1,mustRotate=!0){if(viewport instanceof PageViewport){const{pageWidth,pageHeight}=viewport.rawDims,{style:style2}=div,useRound=util_FeatureTest.isCSSRoundSupported,w=`var(--total-scale-factor) * ${pageWidth}px`,h2=`var(--total-scale-factor) * ${pageHeight}px`,widthStr=useRound?`round(down, ${w}, var(--scale-round-x))`:`calc(${w})`,heightStr=useRound?`round(down, ${h2}\
+, var(--scale-round-y))`:`calc(${h2})`;!mustFlip||viewport.rotation%180===0?(style2.width=widthStr,style2.height=heightStr):(style2.width=heightStr,style2.height=widthStr)}mustRotate&&div.setAttribute("data-main-rotation",viewport.rotation)}class OutputScale{constructor(){const{pixelRatio}=OutputScale;this.sx=pixelRatio,this.sy=pixelRatio}get scaled(){return this.sx!==1||this.sy!==1}get symmetric(){return this.sx===this.sy}limitCanvas(width,height,maxPixels,maxDim,capAreaFactor=-1){let maxAreaScale=1/0,
+maxWidthScale=1/0,maxHeightScale=1/0;maxPixels=OutputScale.capPixels(maxPixels,capAreaFactor),maxPixels>0&&(maxAreaScale=Math.sqrt(maxPixels/(width*height))),maxDim!==-1&&(maxWidthScale=maxDim/width,maxHeightScale=maxDim/height);const maxScale=Math.min(maxAreaScale,maxWidthScale,maxHeightScale);return this.sx>maxScale||this.sy>maxScale?(this.sx=maxScale,this.sy=maxScale,!0):!1}static get pixelRatio(){return globalThis.devicePixelRatio||1}static capPixels(maxPixels,capAreaFactor){if(capAreaFactor>=
+0){const winPixels=Math.ceil(window.screen.availWidth*window.screen.availHeight*this.pixelRatio**2*(1+capAreaFactor/100));return maxPixels>0?Math.min(maxPixels,winPixels):winPixels}return maxPixels}}const SupportedImageMimeTypes=["image/apng","image/avif","image/bmp","image/gif","image/jpeg","image/png","image/svg+xml","image/webp","image/x-icon"];class EditorToolbar{#toolbar=null;#colorPicker=null;#editor;#buttons=null;#altText=null;#comment=null;#signatureDescriptionButton=null;static#l10nRemove=null;constructor(editor){
+this.#editor=editor,EditorToolbar.#l10nRemove||=Object.freeze({freetext:"pdfjs-editor-remove-freetext-button",highlight:"pdfjs-editor-remove-highlight-button",ink:"pdfjs-editor-remove-ink-button",stamp:"pdfjs-editor-remove-stamp-button",signature:"pdfjs-editor-remove-signature-button"})}render(){const editToolbar=this.#toolbar=document.createElement("div");editToolbar.classList.add("editToolbar","hidden"),editToolbar.setAttribute("role","toolbar");const signal=this.#editor._uiManager._signal;editToolbar.
+addEventListener("contextmenu",noContextMenu,{signal}),editToolbar.addEventListener("pointerdown",EditorToolbar.#pointerDown,{signal});const buttons=this.#buttons=document.createElement("div");buttons.className="buttons",editToolbar.append(buttons);const position2=this.#editor.toolbarPosition;if(position2){const{style:style2}=editToolbar,x=this.#editor._uiManager.direction==="ltr"?1-position2[0]:position2[0];style2.insetInlineEnd=`${100*x}%`,style2.top=`calc(${100*position2[1]}% + var(--editor-t\
+oolbar-vert-offset))`}return editToolbar}get div(){return this.#toolbar}static#pointerDown(e){e.stopPropagation()}#focusIn(e){this.#editor._focusEventsAllowed=!1,stopEvent(e)}#focusOut(e){this.#editor._focusEventsAllowed=!0,stopEvent(e)}#addListenersToElement(element2){const signal=this.#editor._uiManager._signal;element2.addEventListener("focusin",this.#focusIn.bind(this),{capture:!0,signal}),element2.addEventListener("focusout",this.#focusOut.bind(this),{capture:!0,signal}),element2.addEventListener(
+"contextmenu",noContextMenu,{signal})}hide(){this.#toolbar.classList.add("hidden"),this.#colorPicker?.hideDropdown()}show(){this.#toolbar.classList.remove("hidden"),this.#altText?.shown(),this.#comment?.shown()}addDeleteButton(){const{editorType,_uiManager}=this.#editor,button=document.createElement("button");button.className="delete",button.tabIndex=0,button.setAttribute("data-l10n-id",EditorToolbar.#l10nRemove[editorType]),this.#addListenersToElement(button),button.addEventListener("click",e=>{
+_uiManager.delete()},{signal:_uiManager._signal}),this.#buttons.append(button)}get#divider(){const divider=document.createElement("div");return divider.className="divider",divider}async addAltText(altText){const button=await altText.render();this.#addListenersToElement(button),this.#buttons.append(button,this.#divider),this.#altText=altText}addComment(comment2){if(this.#comment)return;const button=comment2.render();button&&(this.#addListenersToElement(button),this.#buttons.prepend(button,this.#divider),
+this.#comment=comment2,comment2.toolbar=this)}addColorPicker(colorPicker){if(this.#colorPicker)return;this.#colorPicker=colorPicker;const button=colorPicker.renderButton();this.#addListenersToElement(button),this.#buttons.append(button,this.#divider)}async addEditSignatureButton(signatureManager){const button=this.#signatureDescriptionButton=await signatureManager.renderEditButton(this.#editor);this.#addListenersToElement(button),this.#buttons.append(button,this.#divider)}async addButton(name,tool){
+switch(name){case"colorPicker":this.addColorPicker(tool);break;case"altText":await this.addAltText(tool);break;case"editSignature":await this.addEditSignatureButton(tool);break;case"delete":this.addDeleteButton();break;case"comment":this.addComment(tool);break}}updateEditSignatureButton(description2){this.#signatureDescriptionButton&&(this.#signatureDescriptionButton.title=description2)}remove(){this.#toolbar.remove(),this.#colorPicker?.destroy(),this.#colorPicker=null}}class HighlightToolbar{#buttons=null;#toolbar=null;#uiManager;constructor(uiManager){
+this.#uiManager=uiManager}#render(){const editToolbar=this.#toolbar=document.createElement("div");editToolbar.className="editToolbar",editToolbar.setAttribute("role","toolbar"),editToolbar.addEventListener("contextmenu",noContextMenu,{signal:this.#uiManager._signal});const buttons=this.#buttons=document.createElement("div");return buttons.className="buttons",editToolbar.append(buttons),this.#addHighlightButton(),editToolbar}#getLastPoint(boxes,isLTR){let lastY=0,lastX=0;for(const box2 of boxes){
+const y=box2.y+box2.height;if(y<lastY)continue;const x=box2.x+(isLTR?box2.width:0);if(y>lastY){lastX=x,lastY=y;continue}isLTR?x>lastX&&(lastX=x):x<lastX&&(lastX=x)}return[isLTR?1-lastX:lastX,lastY]}show(parent,boxes,isLTR){const[x,y]=this.#getLastPoint(boxes,isLTR),{style:style2}=this.#toolbar||=this.#render();parent.append(this.#toolbar),style2.insetInlineEnd=`${100*x}%`,style2.top=`calc(${100*y}% + var(--editor-toolbar-vert-offset))`}hide(){this.#toolbar.remove()}#addHighlightButton(){const button=document.
+createElement("button");button.className="highlightButton",button.tabIndex=0,button.setAttribute("data-l10n-id","pdfjs-highlight-floating-button1");const span=document.createElement("span");button.append(span),span.className="visuallyHidden",span.setAttribute("data-l10n-id","pdfjs-highlight-floating-button-label");const signal=this.#uiManager._signal;button.addEventListener("contextmenu",noContextMenu,{signal}),button.addEventListener("click",()=>{this.#uiManager.highlightSelection("floating_but\
+ton")},{signal}),this.#buttons.append(button)}}function bindEvents(obj,element2,names2){for(const name of names2)element2.addEventListener(name,obj[name].bind(obj))}class IdManager{#id=0;get id(){return`${AnnotationEditorPrefix}${this.#id++}`}}class ImageManager{#baseId=getUuid();#id=0;#cache=null;static get _isSVGFittingCanvas(){const svg2='data:image/svg+xml;charset=UTF-8,<svg viewBox="0 0 1 1" width="1" height="1" xmlns="http://www.w3.org/2000/svg"><rect width="1" height="1" style="fill:red;"\
+/></svg>',ctx=new OffscreenCanvas(1,3).getContext("2d",{willReadFrequently:!0}),image2=new Image;image2.src=svg2;const promise=image2.decode().then(()=>(ctx.drawImage(image2,0,0,1,1,0,0,1,3),new Uint32Array(ctx.getImageData(0,0,1,1).data.buffer)[0]===0));return shadow(this,"_isSVGFittingCanvas",promise)}async#get(key2,rawData){this.#cache||=new Map;let data=this.#cache.get(key2);if(data===null)return null;if(data?.bitmap)return data.refCounter+=1,data;try{data||={bitmap:null,id:`image_${this.#baseId}\
+_${this.#id++}`,refCounter:0,isSvg:!1};let image2;if(typeof rawData=="string"?(data.url=rawData,image2=await fetchData(rawData,"blob")):rawData instanceof File?image2=data.file=rawData:rawData instanceof Blob&&(image2=rawData),image2.type==="image/svg+xml"){const mustRemoveAspectRatioPromise=ImageManager._isSVGFittingCanvas,fileReader=new FileReader,imageElement=new Image,imagePromise=new Promise((resolve2,reject)=>{imageElement.onload=()=>{data.bitmap=imageElement,data.isSvg=!0,resolve2()},fileReader.
+onload=async()=>{const url2=data.svgUrl=fileReader.result;imageElement.src=await mustRemoveAspectRatioPromise?`${url2}#svgView(preserveAspectRatio(none))`:url2},imageElement.onerror=fileReader.onerror=reject});fileReader.readAsDataURL(image2),await imagePromise}else data.bitmap=await createImageBitmap(image2);data.refCounter=1}catch(e){warn(e),data=null}return this.#cache.set(key2,data),data&&this.#cache.set(data.id,data),data}async getFromFile(file){const{lastModified,name,size:size2,type:type2}=file;
+return this.#get(`${lastModified}_${name}_${size2}_${type2}`,file)}async getFromUrl(url2){return this.#get(url2,url2)}async getFromBlob(id2,blobPromise){const blob=await blobPromise;return this.#get(id2,blob)}async getFromId(id2){this.#cache||=new Map;const data=this.#cache.get(id2);if(!data)return null;if(data.bitmap)return data.refCounter+=1,data;if(data.file)return this.getFromFile(data.file);if(data.blobPromise){const{blobPromise}=data;return delete data.blobPromise,this.getFromBlob(data.id,
+blobPromise)}return this.getFromUrl(data.url)}getFromCanvas(id2,canvas){this.#cache||=new Map;let data=this.#cache.get(id2);if(data?.bitmap)return data.refCounter+=1,data;const offscreen=new OffscreenCanvas(canvas.width,canvas.height);return offscreen.getContext("2d").drawImage(canvas,0,0),data={bitmap:offscreen.transferToImageBitmap(),id:`image_${this.#baseId}_${this.#id++}`,refCounter:1,isSvg:!1},this.#cache.set(id2,data),this.#cache.set(data.id,data),data}getSvgUrl(id2){const data=this.#cache.
+get(id2);return data?.isSvg?data.svgUrl:null}deleteId(id2){this.#cache||=new Map;const data=this.#cache.get(id2);if(!data||(data.refCounter-=1,data.refCounter!==0))return;const{bitmap}=data;if(!data.url&&!data.file){const canvas=new OffscreenCanvas(bitmap.width,bitmap.height);canvas.getContext("bitmaprenderer").transferFromImageBitmap(bitmap),data.blobPromise=canvas.convertToBlob()}bitmap.close?.(),data.bitmap=null}isValidId(id2){return id2.startsWith(`image_${this.#baseId}_`)}}class CommandManager{#commands=[];#locked=!1;#maxSize;#position=-1;constructor(maxSize=128){
+this.#maxSize=maxSize}add({cmd,undo,post,mustExec,type:type2=NaN,overwriteIfSameType=!1,keepUndo=!1}){if(mustExec&&cmd(),this.#locked)return;const save={cmd,undo,post,type:type2};if(this.#position===-1){this.#commands.length>0&&(this.#commands.length=0),this.#position=0,this.#commands.push(save);return}if(overwriteIfSameType&&this.#commands[this.#position].type===type2){keepUndo&&(save.undo=this.#commands[this.#position].undo),this.#commands[this.#position]=save;return}const next2=this.#position+
+1;next2===this.#maxSize?this.#commands.splice(0,1):(this.#position=next2,next2<this.#commands.length&&this.#commands.splice(next2)),this.#commands.push(save)}undo(){if(this.#position===-1)return;this.#locked=!0;const{undo,post}=this.#commands[this.#position];undo(),post?.(),this.#locked=!1,this.#position-=1}redo(){if(this.#position<this.#commands.length-1){this.#position+=1,this.#locked=!0;const{cmd,post}=this.#commands[this.#position];cmd(),post?.(),this.#locked=!1}}hasSomethingToUndo(){return this.#position!==
+-1}hasSomethingToRedo(){return this.#position<this.#commands.length-1}cleanType(type2){if(this.#position!==-1){for(let i=this.#position;i>=0;i--)if(this.#commands[i].type!==type2){this.#commands.splice(i+1,this.#position-i),this.#position=i;return}this.#commands.length=0,this.#position=-1}}destroy(){this.#commands=null}}class KeyboardManager{constructor(callbacks){this.buffer=[],this.callbacks=new Map,this.allKeys=new Set;const{isMac}=util_FeatureTest.platform;for(const[keys2,callback,options={}]of callbacks)
+for(const key2 of keys2){const isMacKey=key2.startsWith("mac+");isMac&&isMacKey?(this.callbacks.set(key2.slice(4),{callback,options}),this.allKeys.add(key2.split("+").at(-1))):!isMac&&!isMacKey&&(this.callbacks.set(key2,{callback,options}),this.allKeys.add(key2.split("+").at(-1)))}}#serialize(event2){event2.altKey&&this.buffer.push("alt"),event2.ctrlKey&&this.buffer.push("ctrl"),event2.metaKey&&this.buffer.push("meta"),event2.shiftKey&&this.buffer.push("shift"),this.buffer.push(event2.key);const str=this.
+buffer.join("+");return this.buffer.length=0,str}exec(self2,event2){if(!this.allKeys.has(event2.key))return;const info2=this.callbacks.get(this.#serialize(event2));if(!info2)return;const{callback,options:{bubbles=!1,args=[],checker=null}}=info2;checker&&!checker(self2,event2)||(callback.bind(self2,...args,event2)(),bubbles||stopEvent(event2))}}class ColorManager{static _colorsMapping=new Map([["CanvasText",[0,0,0]],["Canvas",[255,255,255]]]);get _colors(){const colors=new Map([["CanvasText",null],
+["Canvas",null]]);return getColorValues(colors),shadow(this,"_colors",colors)}convert(color){const rgb=getRGB(color);if(!window.matchMedia("(forced-colors: active)").matches)return rgb;for(const[name,RGB]of this._colors)if(RGB.every((x,i)=>x===rgb[i]))return ColorManager._colorsMapping.get(name);return rgb}getHexCode(name){const rgb=this._colors.get(name);return rgb?Util.makeHexColor(...rgb):name}}class AnnotationEditorUIManager{#abortController=new AbortController;#activeEditor=null;#allEditors=new Map;#allLayers=new Map;#altTextManager=null;#annotationStorage=null;#changedExistingAnnotations=null;#commandManager=new CommandManager;#commentManager=null;#copyPasteAC=null;#currentDrawingSession=null;#currentPageIndex=0;#deletedAnnotationsElementIds=new Set;#draggingEditors=null;#editorTypes=null;#editorsToRescale=new Set;_editorUndoBar=null;#enableHighlightFloatingButton=!1;#enableUpdatedAddImage=!1;#enableNewAltTextWhenAddingImage=!1;#filterFactory=null;#focusMainContainerTimeoutId=null;#focusManagerAC=null;#highlightColors=null;#highlightWhenShiftUp=!1;#highlightToolbar=null;#idManager=new IdManager;#isEnabled=!1;#isWaiting=!1;#keyboardManagerAC=null;#lastActiveElement=null;#mainHighlightColorPicker=null;#missingCanvases=null;#mlManager=null;#mode=AnnotationEditorType.
+NONE;#selectedEditors=new Set;#selectedTextNode=null;#signatureManager=null;#pageColors=null;#showAllStates=null;#previousStates={isEditing:!1,isEmpty:!0,hasSomethingToUndo:!1,hasSomethingToRedo:!1,hasSelectedEditor:!1,hasSelectedText:!1};#translation=[0,0];#translationTimeoutId=null;#container=null;#viewer=null;#viewerAlert=null;#updateModeCapability=null;static TRANSLATE_SMALL=1;static TRANSLATE_BIG=10;static get _keyboardManager(){const proto=AnnotationEditorUIManager.prototype,arrowChecker=self2=>self2.#container.
+contains(document.activeElement)&&document.activeElement.tagName!=="BUTTON"&&self2.hasSomethingToControl(),textInputChecker=(_self,{target:el})=>{if(el instanceof HTMLInputElement){const{type:type2}=el;return type2!=="text"&&type2!=="number"}return!0},small=this.TRANSLATE_SMALL,big=this.TRANSLATE_BIG;return shadow(this,"_keyboardManager",new KeyboardManager([[["ctrl+a","mac+meta+a"],proto.selectAll,{checker:textInputChecker}],[["ctrl+z","mac+meta+z"],proto.undo,{checker:textInputChecker}],[["ctr\
+l+y","ctrl+shift+z","mac+meta+shift+z","ctrl+shift+Z","mac+meta+shift+Z"],proto.redo,{checker:textInputChecker}],[["Backspace","alt+Backspace","ctrl+Backspace","shift+Backspace","mac+Backspace","mac+alt+Backspace","mac+ctrl+Backspace","Delete","ctrl+Delete","shift+Delete","mac+Delete"],proto.delete,{checker:textInputChecker}],[["Enter","mac+Enter"],proto.addNewEditorFromKeyboard,{checker:(self2,{target:el})=>!(el instanceof HTMLButtonElement)&&self2.#container.contains(el)&&!self2.isEnterHandled}],
+[[" ","mac+ "],proto.addNewEditorFromKeyboard,{checker:(self2,{target:el})=>!(el instanceof HTMLButtonElement)&&self2.#container.contains(document.activeElement)}],[["Escape","mac+Escape"],proto.unselectAll],[["ArrowLeft","mac+ArrowLeft"],proto.translateSelectedEditors,{args:[-small,0],checker:arrowChecker}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],proto.translateSelectedEditors,{args:[-big,0],checker:arrowChecker}],[["ArrowRight","mac+ArrowRight"],proto.translateSelectedEditors,{args:[small,0],
+checker:arrowChecker}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],proto.translateSelectedEditors,{args:[big,0],checker:arrowChecker}],[["ArrowUp","mac+ArrowUp"],proto.translateSelectedEditors,{args:[0,-small],checker:arrowChecker}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],proto.translateSelectedEditors,{args:[0,-big],checker:arrowChecker}],[["ArrowDown","mac+ArrowDown"],proto.translateSelectedEditors,{args:[0,small],checker:arrowChecker}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],proto.translateSelectedEditors,
+{args:[0,big],checker:arrowChecker}]]))}constructor(container2,viewer,viewerAlert,altTextManager,commentManager,signatureManager,eventBus,pdfDocument,pageColors,highlightColors,enableHighlightFloatingButton,enableUpdatedAddImage,enableNewAltTextWhenAddingImage,mlManager,editorUndoBar,supportsPinchToZoom){const signal=this._signal=this.#abortController.signal;this.#container=container2,this.#viewer=viewer,this.#viewerAlert=viewerAlert,this.#altTextManager=altTextManager,this.#commentManager=commentManager,
+this.#signatureManager=signatureManager,this._eventBus=eventBus,eventBus._on("editingaction",this.onEditingAction.bind(this),{signal}),eventBus._on("pagechanging",this.onPageChanging.bind(this),{signal}),eventBus._on("scalechanging",this.onScaleChanging.bind(this),{signal}),eventBus._on("rotationchanging",this.onRotationChanging.bind(this),{signal}),eventBus._on("setpreference",this.onSetPreference.bind(this),{signal}),eventBus._on("switchannotationeditorparams",evt=>this.updateParams(evt.type,evt.
+value),{signal}),this.#addSelectionListener(),this.#addDragAndDropListeners(),this.#addKeyboardManager(),this.#annotationStorage=pdfDocument.annotationStorage,this.#filterFactory=pdfDocument.filterFactory,this.#pageColors=pageColors,this.#highlightColors=highlightColors||null,this.#enableHighlightFloatingButton=enableHighlightFloatingButton,this.#enableUpdatedAddImage=enableUpdatedAddImage,this.#enableNewAltTextWhenAddingImage=enableNewAltTextWhenAddingImage,this.#mlManager=mlManager||null,this.
+viewParameters={realScale:PixelsPerInch.PDF_TO_CSS_UNITS,rotation:0},this.isShiftKeyDown=!1,this._editorUndoBar=editorUndoBar||null,this._supportsPinchToZoom=supportsPinchToZoom!==!1}destroy(){this.#updateModeCapability?.resolve(),this.#updateModeCapability=null,this.#abortController?.abort(),this.#abortController=null,this._signal=null;for(const layer of this.#allLayers.values())layer.destroy();this.#allLayers.clear(),this.#allEditors.clear(),this.#editorsToRescale.clear(),this.#missingCanvases?.
+clear(),this.#activeEditor=null,this.#selectedEditors.clear(),this.#commandManager.destroy(),this.#altTextManager?.destroy(),this.#commentManager?.destroy(),this.#signatureManager?.destroy(),this.#highlightToolbar?.hide(),this.#highlightToolbar=null,this.#mainHighlightColorPicker?.destroy(),this.#mainHighlightColorPicker=null,this.#focusMainContainerTimeoutId&&(clearTimeout(this.#focusMainContainerTimeoutId),this.#focusMainContainerTimeoutId=null),this.#translationTimeoutId&&(clearTimeout(this.#translationTimeoutId),
+this.#translationTimeoutId=null),this._editorUndoBar?.destroy()}combinedSignal(ac){return AbortSignal.any([this._signal,ac.signal])}get mlManager(){return this.#mlManager}get useNewAltTextFlow(){return this.#enableUpdatedAddImage}get useNewAltTextWhenAddingImage(){return this.#enableNewAltTextWhenAddingImage}get hcmFilter(){return shadow(this,"hcmFilter",this.#pageColors?this.#filterFactory.addHCMFilter(this.#pageColors.foreground,this.#pageColors.background):"none")}get direction(){return shadow(
+this,"direction",getComputedStyle(this.#container).direction)}get _highlightColors(){return shadow(this,"_highlightColors",this.#highlightColors?new Map(this.#highlightColors.split(",").map(pair=>(pair=pair.split("=").map(x=>x.trim()),pair[1]=pair[1].toUpperCase(),pair))):null)}get highlightColors(){const{_highlightColors}=this;if(!_highlightColors)return shadow(this,"highlightColors",null);const map2=new Map,hasHCM=!!this.#pageColors;for(const[name,color]of _highlightColors){const isNameForHCM=name.
+endsWith("_HCM");if(hasHCM&&isNameForHCM){map2.set(name.replace("_HCM",""),color);continue}!hasHCM&&!isNameForHCM&&map2.set(name,color)}return shadow(this,"highlightColors",map2)}get highlightColorNames(){return shadow(this,"highlightColorNames",this.highlightColors?new Map(Array.from(this.highlightColors,e=>e.reverse())):null)}getNonHCMColor(color){if(!this._highlightColors)return color;const colorName=this.highlightColorNames.get(color);return this._highlightColors.get(colorName)||color}getNonHCMColorName(color){
+return this.highlightColorNames.get(color)||color}setCurrentDrawingSession(layer){layer?(this.unselectAll(),this.disableUserSelect(!0)):this.disableUserSelect(!1),this.#currentDrawingSession=layer}setMainHighlightColorPicker(colorPicker){this.#mainHighlightColorPicker=colorPicker}editAltText(editor,firstTime=!1){this.#altTextManager?.editAltText(this,editor,firstTime)}hasCommentManager(){return!!this.#commentManager}editComment(editor,position2){this.#commentManager?.open(this,editor,position2)}getSignature(editor){
+this.#signatureManager?.getSignature({uiManager:this,editor})}get signatureManager(){return this.#signatureManager}switchToMode(mode,callback){this._eventBus.on("annotationeditormodechanged",callback,{once:!0,signal:this._signal}),this._eventBus.dispatch("showannotationeditorui",{source:this,mode})}setPreference(name,value){this._eventBus.dispatch("setpreference",{source:this,name,value})}onSetPreference({name,value}){name==="enableNewAltTextWhenAddingImage"&&(this.#enableNewAltTextWhenAddingImage=
+value)}onPageChanging({pageNumber}){this.#currentPageIndex=pageNumber-1}focusMainContainer(){this.#container.focus()}findParent(x,y){for(const layer of this.#allLayers.values()){const{x:layerX,y:layerY,width,height}=layer.div.getBoundingClientRect();if(x>=layerX&&x<=layerX+width&&y>=layerY&&y<=layerY+height)return layer}return null}disableUserSelect(value=!1){this.#viewer.classList.toggle("noUserSelect",value)}addShouldRescale(editor){this.#editorsToRescale.add(editor)}removeShouldRescale(editor){
+this.#editorsToRescale.delete(editor)}onScaleChanging({scale:scale2}){this.commitOrRemove(),this.viewParameters.realScale=scale2*PixelsPerInch.PDF_TO_CSS_UNITS;for(const editor of this.#editorsToRescale)editor.onScaleChanging();this.#currentDrawingSession?.onScaleChanging()}onRotationChanging({pagesRotation}){this.commitOrRemove(),this.viewParameters.rotation=pagesRotation}#getAnchorElementForSelection({anchorNode}){return anchorNode.nodeType===Node.TEXT_NODE?anchorNode.parentElement:anchorNode}#getLayerForTextLayer(textLayer){
+const{currentLayer}=this;if(currentLayer.hasTextLayer(textLayer))return currentLayer;for(const layer of this.#allLayers.values())if(layer.hasTextLayer(textLayer))return layer;return null}highlightSelection(methodOfCreation=""){const selection=document.getSelection();if(!selection||selection.isCollapsed)return;const{anchorNode,anchorOffset,focusNode,focusOffset}=selection,text2=selection.toString(),textLayer=this.#getAnchorElementForSelection(selection).closest(".textLayer"),boxes=this.getSelectionBoxes(
+textLayer);if(!boxes)return;selection.empty();const layer=this.#getLayerForTextLayer(textLayer),isNoneMode=this.#mode===AnnotationEditorType.NONE,callback=()=>{layer?.createAndAddNewEditor({x:0,y:0},!1,{methodOfCreation,boxes,anchorNode,anchorOffset,focusNode,focusOffset,text:text2}),isNoneMode&&this.showAllEditors("highlight",!0,!0)};if(isNoneMode){this.switchToMode(AnnotationEditorType.HIGHLIGHT,callback);return}callback()}#displayHighlightToolbar(){const selection=document.getSelection();if(!selection||
+selection.isCollapsed)return;const textLayer=this.#getAnchorElementForSelection(selection).closest(".textLayer"),boxes=this.getSelectionBoxes(textLayer);boxes&&(this.#highlightToolbar||=new HighlightToolbar(this),this.#highlightToolbar.show(textLayer,boxes,this.direction==="ltr"))}addToAnnotationStorage(editor){!editor.isEmpty()&&this.#annotationStorage&&!this.#annotationStorage.has(editor.id)&&this.#annotationStorage.setValue(editor.id,editor)}a11yAlert(messageId,args=null){const viewerAlert=this.#viewerAlert;
+viewerAlert&&(viewerAlert.setAttribute("data-l10n-id",messageId),args?viewerAlert.setAttribute("data-l10n-args",JSON.stringify(args)):viewerAlert.removeAttribute("data-l10n-args"))}#selectionChange(){const selection=document.getSelection();if(!selection||selection.isCollapsed){this.#selectedTextNode&&(this.#highlightToolbar?.hide(),this.#selectedTextNode=null,this.#dispatchUpdateStates({hasSelectedText:!1}));return}const{anchorNode}=selection;if(anchorNode===this.#selectedTextNode)return;const textLayer=this.#getAnchorElementForSelection(
+selection).closest(".textLayer");if(!textLayer){this.#selectedTextNode&&(this.#highlightToolbar?.hide(),this.#selectedTextNode=null,this.#dispatchUpdateStates({hasSelectedText:!1}));return}if(this.#highlightToolbar?.hide(),this.#selectedTextNode=anchorNode,this.#dispatchUpdateStates({hasSelectedText:!0}),!(this.#mode!==AnnotationEditorType.HIGHLIGHT&&this.#mode!==AnnotationEditorType.NONE)&&(this.#mode===AnnotationEditorType.HIGHLIGHT&&this.showAllEditors("highlight",!0,!0),this.#highlightWhenShiftUp=
+this.isShiftKeyDown,!this.isShiftKeyDown)){const activeLayer=this.#mode===AnnotationEditorType.HIGHLIGHT?this.#getLayerForTextLayer(textLayer):null;activeLayer?.toggleDrawing();const ac=new AbortController,signal=this.combinedSignal(ac),pointerup=e=>{e.type==="pointerup"&&e.button!==0||(ac.abort(),activeLayer?.toggleDrawing(!0),e.type==="pointerup"&&this.#onSelectEnd("main_toolbar"))};window.addEventListener("pointerup",pointerup,{signal}),window.addEventListener("blur",pointerup,{signal})}}#onSelectEnd(methodOfCreation=""){
+this.#mode===AnnotationEditorType.HIGHLIGHT?this.highlightSelection(methodOfCreation):this.#enableHighlightFloatingButton&&this.#displayHighlightToolbar()}#addSelectionListener(){document.addEventListener("selectionchange",this.#selectionChange.bind(this),{signal:this._signal})}#addFocusManager(){if(this.#focusManagerAC)return;this.#focusManagerAC=new AbortController;const signal=this.combinedSignal(this.#focusManagerAC);window.addEventListener("focus",this.focus.bind(this),{signal}),window.addEventListener(
+"blur",this.blur.bind(this),{signal})}#removeFocusManager(){this.#focusManagerAC?.abort(),this.#focusManagerAC=null}blur(){if(this.isShiftKeyDown=!1,this.#highlightWhenShiftUp&&(this.#highlightWhenShiftUp=!1,this.#onSelectEnd("main_toolbar")),!this.hasSelection)return;const{activeElement}=document;for(const editor of this.#selectedEditors)if(editor.div.contains(activeElement)){this.#lastActiveElement=[editor,activeElement],editor._focusEventsAllowed=!1;break}}focus(){if(!this.#lastActiveElement)
+return;const[lastEditor,lastActiveElement]=this.#lastActiveElement;this.#lastActiveElement=null,lastActiveElement.addEventListener("focusin",()=>{lastEditor._focusEventsAllowed=!0},{once:!0,signal:this._signal}),lastActiveElement.focus()}#addKeyboardManager(){if(this.#keyboardManagerAC)return;this.#keyboardManagerAC=new AbortController;const signal=this.combinedSignal(this.#keyboardManagerAC);window.addEventListener("keydown",this.keydown.bind(this),{signal}),window.addEventListener("keyup",this.
+keyup.bind(this),{signal})}#removeKeyboardManager(){this.#keyboardManagerAC?.abort(),this.#keyboardManagerAC=null}#addCopyPasteListeners(){if(this.#copyPasteAC)return;this.#copyPasteAC=new AbortController;const signal=this.combinedSignal(this.#copyPasteAC);document.addEventListener("copy",this.copy.bind(this),{signal}),document.addEventListener("cut",this.cut.bind(this),{signal}),document.addEventListener("paste",this.paste.bind(this),{signal})}#removeCopyPasteListeners(){this.#copyPasteAC?.abort(),
+this.#copyPasteAC=null}#addDragAndDropListeners(){const signal=this._signal;document.addEventListener("dragover",this.dragOver.bind(this),{signal}),document.addEventListener("drop",this.drop.bind(this),{signal})}addEditListeners(){this.#addKeyboardManager(),this.#addCopyPasteListeners()}removeEditListeners(){this.#removeKeyboardManager(),this.#removeCopyPasteListeners()}dragOver(event2){for(const{type:type2}of event2.dataTransfer.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(
+type2)){event2.dataTransfer.dropEffect="copy",event2.preventDefault();return}}drop(event2){for(const item of event2.dataTransfer.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(item.type)){editorType.paste(item,this.currentLayer),event2.preventDefault();return}}copy(event2){if(event2.preventDefault(),this.#activeEditor?.commitOrRemove(),!this.hasSelection)return;const editors=[];for(const editor of this.#selectedEditors){const serialized=editor.serialize(!0);
+serialized&&editors.push(serialized)}editors.length!==0&&event2.clipboardData.setData("application/pdfjs",JSON.stringify(editors))}cut(event2){this.copy(event2),this.delete()}async paste(event2){event2.preventDefault();const{clipboardData}=event2;for(const item of clipboardData.items)for(const editorType of this.#editorTypes)if(editorType.isHandlingMimeForPasting(item.type)){editorType.paste(item,this.currentLayer);return}let data=clipboardData.getData("application/pdfjs");if(!data)return;try{data=
+JSON.parse(data)}catch(ex){warn(`paste: "${ex.message}".`);return}if(!Array.isArray(data))return;this.unselectAll();const layer=this.currentLayer;try{const newEditors=[];for(const editor of data){const deserializedEditor=await layer.deserialize(editor);if(!deserializedEditor)return;newEditors.push(deserializedEditor)}const cmd=()=>{for(const editor of newEditors)this.#addEditorToLayer(editor);this.#selectEditors(newEditors)},undo=()=>{for(const editor of newEditors)editor.remove()};this.addCommands(
+{cmd,undo,mustExec:!0})}catch(ex){warn(`paste: "${ex.message}".`)}}keydown(event2){!this.isShiftKeyDown&&event2.key==="Shift"&&(this.isShiftKeyDown=!0),this.#mode!==AnnotationEditorType.NONE&&!this.isEditorHandlingKeyboard&&AnnotationEditorUIManager._keyboardManager.exec(this,event2)}keyup(event2){this.isShiftKeyDown&&event2.key==="Shift"&&(this.isShiftKeyDown=!1,this.#highlightWhenShiftUp&&(this.#highlightWhenShiftUp=!1,this.#onSelectEnd("main_toolbar")))}onEditingAction({name}){switch(name){case"\
+undo":case"redo":case"delete":case"selectAll":this[name]();break;case"highlightSelection":this.highlightSelection("context_menu");break}}#dispatchUpdateStates(details){Object.entries(details).some(([key2,value])=>this.#previousStates[key2]!==value)&&(this._eventBus.dispatch("annotationeditorstateschanged",{source:this,details:Object.assign(this.#previousStates,details)}),this.#mode===AnnotationEditorType.HIGHLIGHT&&details.hasSelectedEditor===!1&&this.#dispatchUpdateUI([[AnnotationEditorParamsType.
+HIGHLIGHT_FREE,!0]]))}#dispatchUpdateUI(details){this._eventBus.dispatch("annotationeditorparamschanged",{source:this,details})}setEditingState(isEditing2){isEditing2?(this.#addFocusManager(),this.#addCopyPasteListeners(),this.#dispatchUpdateStates({isEditing:this.#mode!==AnnotationEditorType.NONE,isEmpty:this.#isEmpty(),hasSomethingToUndo:this.#commandManager.hasSomethingToUndo(),hasSomethingToRedo:this.#commandManager.hasSomethingToRedo(),hasSelectedEditor:!1})):(this.#removeFocusManager(),this.#removeCopyPasteListeners(),
+this.#dispatchUpdateStates({isEditing:!1}),this.disableUserSelect(!1))}registerEditorTypes(types2){if(!this.#editorTypes){this.#editorTypes=types2;for(const editorType of this.#editorTypes)this.#dispatchUpdateUI(editorType.defaultPropertiesToUpdate)}}getId(){return this.#idManager.id}get currentLayer(){return this.#allLayers.get(this.#currentPageIndex)}getLayer(pageIndex){return this.#allLayers.get(pageIndex)}get currentPageIndex(){return this.#currentPageIndex}addLayer(layer){this.#allLayers.set(
+layer.pageIndex,layer),this.#isEnabled?layer.enable():layer.disable()}removeLayer(layer){this.#allLayers.delete(layer.pageIndex)}async updateMode(mode,editId=null,isFromKeyboard=!1,mustEnterInEditMode=!1,editComment=!1){if(this.#mode!==mode&&!(this.#updateModeCapability&&(await this.#updateModeCapability.promise,!this.#updateModeCapability))){if(this.#updateModeCapability=Promise.withResolvers(),this.#currentDrawingSession?.commitOrRemove(),this.#mode=mode,mode===AnnotationEditorType.NONE){this.
+setEditingState(!1),this.#disableAll(),this._editorUndoBar?.hide(),this.#updateModeCapability.resolve();return}mode===AnnotationEditorType.SIGNATURE&&await this.#signatureManager?.loadSignatures(),this.setEditingState(!0),await this.#enableAll(),this.unselectAll();for(const layer of this.#allLayers.values())layer.updateMode(mode);if(!editId){isFromKeyboard&&this.addNewEditorFromKeyboard(),this.#updateModeCapability.resolve();return}for(const editor of this.#allEditors.values())editor.annotationElementId===
+editId||editor.id===editId?(this.setSelected(editor),editComment?editor.editComment():mustEnterInEditMode&&editor.enterInEditMode()):editor.unselect();this.#updateModeCapability.resolve()}}addNewEditorFromKeyboard(){this.currentLayer.canCreateNewEmptyEditor()&&this.currentLayer.addNewEditor()}updateToolbar(options){options.mode!==this.#mode&&this._eventBus.dispatch("switchannotationeditormode",{source:this,...options})}updateParams(type2,value){if(this.#editorTypes){switch(type2){case AnnotationEditorParamsType.
+CREATE:this.currentLayer.addNewEditor(value);return;case AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL:this._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data:{type:"highlight",action:"toggle_visibility"}}}),(this.#showAllStates||=new Map).set(type2,value),this.showAllEditors("highlight",value);break}if(this.hasSelection)for(const editor of this.#selectedEditors)editor.updateParams(type2,value);else for(const editorType of this.#editorTypes)editorType.updateDefaultParams(
+type2,value)}}showAllEditors(type2,visible,updateButton=!1){for(const editor of this.#allEditors.values())editor.editorType===type2&&editor.show(visible);(this.#showAllStates?.get(AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL)??!0)!==visible&&this.#dispatchUpdateUI([[AnnotationEditorParamsType.HIGHLIGHT_SHOW_ALL,visible]])}enableWaiting(mustWait=!1){if(this.#isWaiting!==mustWait){this.#isWaiting=mustWait;for(const layer of this.#allLayers.values())mustWait?layer.disableClick():layer.enableClick(),
+layer.div.classList.toggle("waiting",mustWait)}}async#enableAll(){if(!this.#isEnabled){this.#isEnabled=!0;const promises=[];for(const layer of this.#allLayers.values())promises.push(layer.enable());await Promise.all(promises);for(const editor of this.#allEditors.values())editor.enable()}}#disableAll(){if(this.unselectAll(),this.#isEnabled){this.#isEnabled=!1;for(const layer of this.#allLayers.values())layer.disable();for(const editor of this.#allEditors.values())editor.disable()}}getEditors(pageIndex){
+const editors=[];for(const editor of this.#allEditors.values())editor.pageIndex===pageIndex&&editors.push(editor);return editors}getEditor(id2){return this.#allEditors.get(id2)}addEditor(editor){this.#allEditors.set(editor.id,editor)}removeEditor(editor){editor.div.contains(document.activeElement)&&(this.#focusMainContainerTimeoutId&&clearTimeout(this.#focusMainContainerTimeoutId),this.#focusMainContainerTimeoutId=setTimeout(()=>{this.focusMainContainer(),this.#focusMainContainerTimeoutId=null},
+0)),this.#allEditors.delete(editor.id),editor.annotationElementId&&this.#missingCanvases?.delete(editor.annotationElementId),this.unselect(editor),(!editor.annotationElementId||!this.#deletedAnnotationsElementIds.has(editor.annotationElementId))&&this.#annotationStorage?.remove(editor.id)}addDeletedAnnotationElement(editor){this.#deletedAnnotationsElementIds.add(editor.annotationElementId),this.addChangedExistingAnnotation(editor),editor.deleted=!0}isDeletedAnnotationElement(annotationElementId){
+return this.#deletedAnnotationsElementIds.has(annotationElementId)}removeDeletedAnnotationElement(editor){this.#deletedAnnotationsElementIds.delete(editor.annotationElementId),this.removeChangedExistingAnnotation(editor),editor.deleted=!1}#addEditorToLayer(editor){const layer=this.#allLayers.get(editor.pageIndex);layer?layer.addOrRebuild(editor):(this.addEditor(editor),this.addToAnnotationStorage(editor))}setActiveEditor(editor){this.#activeEditor!==editor&&(this.#activeEditor=editor,editor&&this.#dispatchUpdateUI(
+editor.propertiesToUpdate))}get#lastSelectedEditor(){let ed=null;for(ed of this.#selectedEditors);return ed}updateUI(editor){this.#lastSelectedEditor===editor&&this.#dispatchUpdateUI(editor.propertiesToUpdate)}updateUIForDefaultProperties(editorType){this.#dispatchUpdateUI(editorType.defaultPropertiesToUpdate)}toggleSelected(editor){if(this.#selectedEditors.has(editor)){this.#selectedEditors.delete(editor),editor.unselect(),this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection});return}
+this.#selectedEditors.add(editor),editor.select(),this.#dispatchUpdateUI(editor.propertiesToUpdate),this.#dispatchUpdateStates({hasSelectedEditor:!0})}setSelected(editor){this.updateToolbar({mode:editor.mode,editId:editor.id}),this.#currentDrawingSession?.commitOrRemove();for(const ed of this.#selectedEditors)ed!==editor&&ed.unselect();this.#selectedEditors.clear(),this.#selectedEditors.add(editor),editor.select(),this.#dispatchUpdateUI(editor.propertiesToUpdate),this.#dispatchUpdateStates({hasSelectedEditor:!0})}isSelected(editor){
+return this.#selectedEditors.has(editor)}get firstSelectedEditor(){return this.#selectedEditors.values().next().value}unselect(editor){editor.unselect(),this.#selectedEditors.delete(editor),this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection})}get hasSelection(){return this.#selectedEditors.size!==0}get isEnterHandled(){return this.#selectedEditors.size===1&&this.firstSelectedEditor.isEnterHandled}undo(){this.#commandManager.undo(),this.#dispatchUpdateStates({hasSomethingToUndo:this.#commandManager.
+hasSomethingToUndo(),hasSomethingToRedo:!0,isEmpty:this.#isEmpty()}),this._editorUndoBar?.hide()}redo(){this.#commandManager.redo(),this.#dispatchUpdateStates({hasSomethingToUndo:!0,hasSomethingToRedo:this.#commandManager.hasSomethingToRedo(),isEmpty:this.#isEmpty()})}addCommands(params){this.#commandManager.add(params),this.#dispatchUpdateStates({hasSomethingToUndo:!0,hasSomethingToRedo:!1,isEmpty:this.#isEmpty()})}cleanUndoStack(type2){this.#commandManager.cleanType(type2)}#isEmpty(){if(this.#allEditors.
+size===0)return!0;if(this.#allEditors.size===1)for(const editor of this.#allEditors.values())return editor.isEmpty();return!1}delete(){this.commitOrRemove();const drawingEditor=this.currentLayer?.endDrawingSession(!0);if(!this.hasSelection&&!drawingEditor)return;const editors=drawingEditor?[drawingEditor]:[...this.#selectedEditors],cmd=()=>{this._editorUndoBar?.show(undo,editors.length===1?editors[0].editorType:editors.length);for(const editor of editors)editor.remove()},undo=()=>{for(const editor of editors)
+this.#addEditorToLayer(editor)};this.addCommands({cmd,undo,mustExec:!0})}commitOrRemove(){this.#activeEditor?.commitOrRemove()}hasSomethingToControl(){return this.#activeEditor||this.hasSelection}#selectEditors(editors){for(const editor of this.#selectedEditors)editor.unselect();this.#selectedEditors.clear();for(const editor of editors)editor.isEmpty()||(this.#selectedEditors.add(editor),editor.select());this.#dispatchUpdateStates({hasSelectedEditor:this.hasSelection})}selectAll(){for(const editor of this.#selectedEditors)
+editor.commit();this.#selectEditors(this.#allEditors.values())}unselectAll(){if(!(this.#activeEditor&&(this.#activeEditor.commitOrRemove(),this.#mode!==AnnotationEditorType.NONE))&&!this.#currentDrawingSession?.commitOrRemove()&&this.hasSelection){for(const editor of this.#selectedEditors)editor.unselect();this.#selectedEditors.clear(),this.#dispatchUpdateStates({hasSelectedEditor:!1})}}translateSelectedEditors(x,y,noCommit=!1){if(noCommit||this.commitOrRemove(),!this.hasSelection)return;this.#translation[0]+=
+x,this.#translation[1]+=y;const[totalX,totalY]=this.#translation,editors=[...this.#selectedEditors],TIME_TO_WAIT=1e3;this.#translationTimeoutId&&clearTimeout(this.#translationTimeoutId),this.#translationTimeoutId=setTimeout(()=>{this.#translationTimeoutId=null,this.#translation[0]=this.#translation[1]=0,this.addCommands({cmd:()=>{for(const editor of editors)this.#allEditors.has(editor.id)&&(editor.translateInPage(totalX,totalY),editor.translationDone())},undo:()=>{for(const editor of editors)this.#allEditors.
+has(editor.id)&&(editor.translateInPage(-totalX,-totalY),editor.translationDone())},mustExec:!1})},TIME_TO_WAIT);for(const editor of editors)editor.translateInPage(x,y),editor.translationDone()}setUpDragSession(){if(this.hasSelection){this.disableUserSelect(!0),this.#draggingEditors=new Map;for(const editor of this.#selectedEditors)this.#draggingEditors.set(editor,{savedX:editor.x,savedY:editor.y,savedPageIndex:editor.pageIndex,newX:0,newY:0,newPageIndex:-1})}}endDragSession(){if(!this.#draggingEditors)
+return!1;this.disableUserSelect(!1);const map2=this.#draggingEditors;this.#draggingEditors=null;let mustBeAddedInUndoStack=!1;for(const[{x,y,pageIndex},value]of map2)value.newX=x,value.newY=y,value.newPageIndex=pageIndex,mustBeAddedInUndoStack||=x!==value.savedX||y!==value.savedY||pageIndex!==value.savedPageIndex;if(!mustBeAddedInUndoStack)return!1;const move2=(editor,x,y,pageIndex)=>{if(this.#allEditors.has(editor.id)){const parent=this.#allLayers.get(pageIndex);parent?editor._setParentAndPosition(
+parent,x,y):(editor.pageIndex=pageIndex,editor.x=x,editor.y=y)}};return this.addCommands({cmd:()=>{for(const[editor,{newX,newY,newPageIndex}]of map2)move2(editor,newX,newY,newPageIndex)},undo:()=>{for(const[editor,{savedX,savedY,savedPageIndex}]of map2)move2(editor,savedX,savedY,savedPageIndex)},mustExec:!0}),!0}dragSelectedEditors(tx,ty){if(this.#draggingEditors)for(const editor of this.#draggingEditors.keys())editor.drag(tx,ty)}rebuild(editor){if(editor.parent===null){const parent=this.getLayer(
+editor.pageIndex);parent?(parent.changeParent(editor),parent.addOrRebuild(editor)):(this.addEditor(editor),this.addToAnnotationStorage(editor),editor.rebuild())}else editor.parent.addOrRebuild(editor)}get isEditorHandlingKeyboard(){return this.getActive()?.shouldGetKeyboardEvents()||this.#selectedEditors.size===1&&this.firstSelectedEditor.shouldGetKeyboardEvents()}isActive(editor){return this.#activeEditor===editor}getActive(){return this.#activeEditor}getMode(){return this.#mode}get imageManager(){
+return shadow(this,"imageManager",new ImageManager)}getSelectionBoxes(textLayer){if(!textLayer)return null;const selection=document.getSelection();for(let i=0,ii=selection.rangeCount;i<ii;i++)if(!textLayer.contains(selection.getRangeAt(i).commonAncestorContainer))return null;const{x:layerX,y:layerY,width:parentWidth,height:parentHeight}=textLayer.getBoundingClientRect();let rotator;switch(textLayer.getAttribute("data-main-rotation")){case"90":rotator=(x,y,w,h2)=>({x:(y-layerY)/parentHeight,y:1-(x+
+w-layerX)/parentWidth,width:h2/parentHeight,height:w/parentWidth});break;case"180":rotator=(x,y,w,h2)=>({x:1-(x+w-layerX)/parentWidth,y:1-(y+h2-layerY)/parentHeight,width:w/parentWidth,height:h2/parentHeight});break;case"270":rotator=(x,y,w,h2)=>({x:1-(y+h2-layerY)/parentHeight,y:(x-layerX)/parentWidth,width:h2/parentHeight,height:w/parentWidth});break;default:rotator=(x,y,w,h2)=>({x:(x-layerX)/parentWidth,y:(y-layerY)/parentHeight,width:w/parentWidth,height:h2/parentHeight});break}const boxes=[];
+for(let i=0,ii=selection.rangeCount;i<ii;i++){const range=selection.getRangeAt(i);if(!range.collapsed)for(const{x,y,width,height}of range.getClientRects())width===0||height===0||boxes.push(rotator(x,y,width,height))}return boxes.length===0?null:boxes}addChangedExistingAnnotation({annotationElementId,id:id2}){(this.#changedExistingAnnotations||=new Map).set(annotationElementId,id2)}removeChangedExistingAnnotation({annotationElementId}){this.#changedExistingAnnotations?.delete(annotationElementId)}renderAnnotationElement(annotation){
+const editorId=this.#changedExistingAnnotations?.get(annotation.data.id);if(!editorId)return;const editor=this.#annotationStorage.getRawValue(editorId);editor&&(this.#mode===AnnotationEditorType.NONE&&!editor.hasBeenModified||editor.renderAnnotationElement(annotation))}setMissingCanvas(annotationId,annotationElementId,canvas){const editor=this.#missingCanvases?.get(annotationId);editor&&(editor.setCanvas(annotationElementId,canvas),this.#missingCanvases.delete(annotationId))}addMissingCanvas(annotationId,editor){
+(this.#missingCanvases||=new Map).set(annotationId,editor)}}class AltText{#altText=null;#altTextDecorative=!1;#altTextButton=null;#altTextButtonLabel=null;#altTextTooltip=null;#altTextTooltipTimeout=null;#altTextWasFromKeyBoard=!1;#badge=null;#editor=null;#guessedText=null;#textWithDisclaimer=null;#useNewAltTextFlow=!1;static#l10nNewButton=null;static _l10n=null;constructor(editor){this.#editor=editor,this.#useNewAltTextFlow=editor._uiManager.useNewAltTextFlow,AltText.#l10nNewButton||=Object.freeze(
+{added:"pdfjs-editor-new-alt-text-added-button","added-label":"pdfjs-editor-new-alt-text-added-button-label",missing:"pdfjs-editor-new-alt-text-missing-button","missing-label":"pdfjs-editor-new-alt-text-missing-button-label",review:"pdfjs-editor-new-alt-text-to-review-button","review-label":"pdfjs-editor-new-alt-text-to-review-button-label"})}static initialize(l10n){AltText._l10n??=l10n}async render(){const altText=this.#altTextButton=document.createElement("button");altText.className="altText",
+altText.tabIndex="0";const label=this.#altTextButtonLabel=document.createElement("span");altText.append(label),this.#useNewAltTextFlow?(altText.classList.add("new"),altText.setAttribute("data-l10n-id",AltText.#l10nNewButton.missing),label.setAttribute("data-l10n-id",AltText.#l10nNewButton["missing-label"])):(altText.setAttribute("data-l10n-id","pdfjs-editor-alt-text-button"),label.setAttribute("data-l10n-id","pdfjs-editor-alt-text-button-label"));const signal=this.#editor._uiManager._signal;altText.
+addEventListener("contextmenu",noContextMenu,{signal}),altText.addEventListener("pointerdown",event2=>event2.stopPropagation(),{signal});const onClick=event2=>{event2.preventDefault(),this.#editor._uiManager.editAltText(this.#editor),this.#useNewAltTextFlow&&this.#editor._reportTelemetry({action:"pdfjs.image.alt_text.image_status_label_clicked",data:{label:this.#label}})};return altText.addEventListener("click",onClick,{capture:!0,signal}),altText.addEventListener("keydown",event2=>{event2.target===
+altText&&event2.key==="Enter"&&(this.#altTextWasFromKeyBoard=!0,onClick(event2))},{signal}),await this.#setState(),altText}get#label(){return this.#altText&&"added"||this.#altText===null&&this.guessedText&&"review"||"missing"}finish(){this.#altTextButton&&(this.#altTextButton.focus({focusVisible:this.#altTextWasFromKeyBoard}),this.#altTextWasFromKeyBoard=!1)}isEmpty(){return this.#useNewAltTextFlow?this.#altText===null:!this.#altText&&!this.#altTextDecorative}hasData(){return this.#useNewAltTextFlow?
+this.#altText!==null||!!this.#guessedText:this.isEmpty()}get guessedText(){return this.#guessedText}async setGuessedText(guessedText){this.#altText===null&&(this.#guessedText=guessedText,this.#textWithDisclaimer=await AltText._l10n.get("pdfjs-editor-new-alt-text-generated-alt-text-with-disclaimer",{generatedAltText:guessedText}),this.#setState())}toggleAltTextBadge(visibility=!1){if(!this.#useNewAltTextFlow||this.#altText){this.#badge?.remove(),this.#badge=null;return}if(!this.#badge){const badge=this.#badge=
+document.createElement("div");badge.className="noAltTextBadge",this.#editor.div.append(badge)}this.#badge.classList.toggle("hidden",!visibility)}serialize(isForCopying){let altText=this.#altText;return!isForCopying&&this.#guessedText===altText&&(altText=this.#textWithDisclaimer),{altText,decorative:this.#altTextDecorative,guessedText:this.#guessedText,textWithDisclaimer:this.#textWithDisclaimer}}get data(){return{altText:this.#altText,decorative:this.#altTextDecorative}}set data({altText,decorative,
+guessedText,textWithDisclaimer,cancel=!1}){guessedText&&(this.#guessedText=guessedText,this.#textWithDisclaimer=textWithDisclaimer),!(this.#altText===altText&&this.#altTextDecorative===decorative)&&(cancel||(this.#altText=altText,this.#altTextDecorative=decorative),this.#setState())}toggle(enabled=!1){this.#altTextButton&&(!enabled&&this.#altTextTooltipTimeout&&(clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null),this.#altTextButton.disabled=!enabled)}shown(){this.#editor.
+_reportTelemetry({action:"pdfjs.image.alt_text.image_status_label_displayed",data:{label:this.#label}})}destroy(){this.#altTextButton?.remove(),this.#altTextButton=null,this.#altTextButtonLabel=null,this.#altTextTooltip=null,this.#badge?.remove(),this.#badge=null}async#setState(){const button=this.#altTextButton;if(!button)return;if(this.#useNewAltTextFlow){if(button.classList.toggle("done",!!this.#altText),button.setAttribute("data-l10n-id",AltText.#l10nNewButton[this.#label]),this.#altTextButtonLabel?.
+setAttribute("data-l10n-id",AltText.#l10nNewButton[`${this.#label}-label`]),!this.#altText){this.#altTextTooltip?.remove();return}}else{if(!this.#altText&&!this.#altTextDecorative){button.classList.remove("done"),this.#altTextTooltip?.remove();return}button.classList.add("done"),button.setAttribute("data-l10n-id","pdfjs-editor-alt-text-edit-button")}let tooltip=this.#altTextTooltip;if(!tooltip){this.#altTextTooltip=tooltip=document.createElement("span"),tooltip.className="tooltip",tooltip.setAttribute(
+"role","tooltip"),tooltip.id=`alt-text-tooltip-${this.#editor.id}`;const DELAY_TO_SHOW_TOOLTIP=100,signal=this.#editor._uiManager._signal;signal.addEventListener("abort",()=>{clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null},{once:!0}),button.addEventListener("mouseenter",()=>{this.#altTextTooltipTimeout=setTimeout(()=>{this.#altTextTooltipTimeout=null,this.#altTextTooltip.classList.add("show"),this.#editor._reportTelemetry({action:"alt_text_tooltip"})},DELAY_TO_SHOW_TOOLTIP)},
+{signal}),button.addEventListener("mouseleave",()=>{this.#altTextTooltipTimeout&&(clearTimeout(this.#altTextTooltipTimeout),this.#altTextTooltipTimeout=null),this.#altTextTooltip?.classList.remove("show")},{signal})}this.#altTextDecorative?tooltip.setAttribute("data-l10n-id","pdfjs-editor-alt-text-decorative-tooltip"):(tooltip.removeAttribute("data-l10n-id"),tooltip.textContent=this.#altText),tooltip.parentNode||button.append(tooltip),this.#editor.getElementForAltText()?.setAttribute("aria-descr\
+ibedby",tooltip.id)}}let Comment$1=class{#commentButton=null;#commentWasFromKeyBoard=!1;#editor=null;#initialText=null;#text=null;#date=null;#deleted=!1;constructor(editor){this.#editor=editor,this.toolbar=null}render(){if(!this.#editor._uiManager.hasCommentManager())return null;const comment2=this.#commentButton=document.createElement("button");comment2.className="comment",comment2.tabIndex="0",comment2.setAttribute("data-l10n-id","pdfjs-editor-edit-comment-button");const signal=this.#editor._uiManager.
+_signal;comment2.addEventListener("contextmenu",noContextMenu,{signal}),comment2.addEventListener("pointerdown",event2=>event2.stopPropagation(),{signal});const onClick=event2=>{event2.preventDefault(),this.edit()};return comment2.addEventListener("click",onClick,{capture:!0,signal}),comment2.addEventListener("keydown",event2=>{event2.target===comment2&&event2.key==="Enter"&&(this.#commentWasFromKeyBoard=!0,onClick(event2))},{signal}),comment2}edit(){const{bottom,left,right}=this.#editor.getClientDimensions(),
+position2={top:bottom};this.#editor._uiManager.direction==="ltr"?position2.right=right:position2.left=left,this.#editor._uiManager.editComment(this.#editor,position2)}finish(){this.#commentButton&&(this.#commentButton.focus({focusVisible:this.#commentWasFromKeyBoard}),this.#commentWasFromKeyBoard=!1)}isDeleted(){return this.#deleted||this.#text===""}hasBeenEdited(){return this.isDeleted()||this.#text!==this.#initialText}serialize(){return this.data}get data(){return{text:this.#text,date:this.#date,
+deleted:this.#deleted}}set data(text2){if(text2===null){this.#text="",this.#deleted=!0;return}this.#text=text2,this.#date=new Date,this.#deleted=!1}setInitialText(text2){this.#initialText=text2,this.data=text2}toggle(enabled=!1){this.#commentButton&&(this.#commentButton.disabled=!enabled)}shown(){}destroy(){this.#commentButton?.remove(),this.#commentButton=null,this.#text="",this.#date=null,this.#editor=null,this.#commentWasFromKeyBoard=!1,this.#deleted=!1}};class TouchManager{#container;#isPinching=!1;#isPinchingStopped=null;#isPinchingDisabled;#onPinchStart;#onPinching;#onPinchEnd;#pointerDownAC=null;#signal;#touchInfo=null;#touchManagerAC;#touchMoveAC=null;constructor({
+container:container2,isPinchingDisabled=null,isPinchingStopped=null,onPinchStart=null,onPinching=null,onPinchEnd=null,signal}){this.#container=container2,this.#isPinchingStopped=isPinchingStopped,this.#isPinchingDisabled=isPinchingDisabled,this.#onPinchStart=onPinchStart,this.#onPinching=onPinching,this.#onPinchEnd=onPinchEnd,this.#touchManagerAC=new AbortController,this.#signal=AbortSignal.any([signal,this.#touchManagerAC.signal]),container2.addEventListener("touchstart",this.#onTouchStart.bind(
+this),{passive:!1,signal:this.#signal})}get MIN_TOUCH_DISTANCE_TO_PINCH(){return 35/OutputScale.pixelRatio}#onTouchStart(evt){if(this.#isPinchingDisabled?.())return;if(evt.touches.length===1){if(this.#pointerDownAC)return;const pointerDownAC=this.#pointerDownAC=new AbortController,signal=AbortSignal.any([this.#signal,pointerDownAC.signal]),container2=this.#container,opts={capture:!0,signal,passive:!1},cancelPointerDown=e=>{e.pointerType==="touch"&&(this.#pointerDownAC?.abort(),this.#pointerDownAC=
+null)};container2.addEventListener("pointerdown",e=>{e.pointerType==="touch"&&(stopEvent(e),cancelPointerDown(e))},opts),container2.addEventListener("pointerup",cancelPointerDown,opts),container2.addEventListener("pointercancel",cancelPointerDown,opts);return}if(!this.#touchMoveAC){this.#touchMoveAC=new AbortController;const signal=AbortSignal.any([this.#signal,this.#touchMoveAC.signal]),container2=this.#container,opt={signal,capture:!1,passive:!1};container2.addEventListener("touchmove",this.#onTouchMove.
+bind(this),opt);const onTouchEnd=this.#onTouchEnd.bind(this);container2.addEventListener("touchend",onTouchEnd,opt),container2.addEventListener("touchcancel",onTouchEnd,opt),opt.capture=!0,container2.addEventListener("pointerdown",stopEvent,opt),container2.addEventListener("pointermove",stopEvent,opt),container2.addEventListener("pointercancel",stopEvent,opt),container2.addEventListener("pointerup",stopEvent,opt),this.#onPinchStart?.()}if(stopEvent(evt),evt.touches.length!==2||this.#isPinchingStopped?.()){
+this.#touchInfo=null;return}let[touch0,touch1]=evt.touches;touch0.identifier>touch1.identifier&&([touch0,touch1]=[touch1,touch0]),this.#touchInfo={touch0X:touch0.screenX,touch0Y:touch0.screenY,touch1X:touch1.screenX,touch1Y:touch1.screenY}}#onTouchMove(evt){if(!this.#touchInfo||evt.touches.length!==2)return;stopEvent(evt);let[touch0,touch1]=evt.touches;touch0.identifier>touch1.identifier&&([touch0,touch1]=[touch1,touch0]);const{screenX:screen0X,screenY:screen0Y}=touch0,{screenX:screen1X,screenY:screen1Y}=touch1,
+touchInfo=this.#touchInfo,{touch0X:pTouch0X,touch0Y:pTouch0Y,touch1X:pTouch1X,touch1Y:pTouch1Y}=touchInfo,prevGapX=pTouch1X-pTouch0X,prevGapY=pTouch1Y-pTouch0Y,currGapX=screen1X-screen0X,currGapY=screen1Y-screen0Y,distance=Math.hypot(currGapX,currGapY)||1,pDistance=Math.hypot(prevGapX,prevGapY)||1;if(!this.#isPinching&&Math.abs(pDistance-distance)<=TouchManager.MIN_TOUCH_DISTANCE_TO_PINCH)return;if(touchInfo.touch0X=screen0X,touchInfo.touch0Y=screen0Y,touchInfo.touch1X=screen1X,touchInfo.touch1Y=
+screen1Y,!this.#isPinching){this.#isPinching=!0;return}const origin2=[(screen0X+screen1X)/2,(screen0Y+screen1Y)/2];this.#onPinching?.(origin2,pDistance,distance)}#onTouchEnd(evt){evt.touches.length>=2||(this.#touchMoveAC&&(this.#touchMoveAC.abort(),this.#touchMoveAC=null,this.#onPinchEnd?.()),this.#touchInfo&&(stopEvent(evt),this.#touchInfo=null,this.#isPinching=!1))}destroy(){this.#touchManagerAC?.abort(),this.#touchManagerAC=null,this.#pointerDownAC?.abort(),this.#pointerDownAC=null}}class AnnotationEditor{#accessibilityData=null;#allResizerDivs=null;#altText=null;#comment=null;#disabled=!1;#dragPointerId=null;#dragPointerType="";#keepAspectRatio=!1;#resizersDiv=null;#lastPointerCoords=null;#savedDimensions=null;#focusAC=null;#focusedResizerName="";#hasBeenClicked=!1;#initialRect=null;#isEditing=!1;#isInEditMode=!1;#isResizerEnabledForKeyboard=!1;#moveInDOMTimeout=null;#prevDragX=0;#prevDragY=0;#telemetryTimeouts=null;#touchManager=null;isSelected=!1;_isCopy=!1;_editToolbar=null;_initialOptions=Object.
+create(null);_initialData=null;_isVisible=!0;_uiManager=null;_focusEventsAllowed=!0;static _l10n=null;static _l10nResizer=null;#isDraggable=!1;#zIndex=AnnotationEditor._zIndex++;static _borderLineWidth=-1;static _colorManager=new ColorManager;static _zIndex=1;static _telemetryTimeout=1e3;static get _resizerKeyboardManager(){const resize=AnnotationEditor.prototype._resizeWithKeyboard,small=AnnotationEditorUIManager.TRANSLATE_SMALL,big=AnnotationEditorUIManager.TRANSLATE_BIG;return shadow(this,"_r\
+esizerKeyboardManager",new KeyboardManager([[["ArrowLeft","mac+ArrowLeft"],resize,{args:[-small,0]}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],resize,{args:[-big,0]}],[["ArrowRight","mac+ArrowRight"],resize,{args:[small,0]}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],resize,{args:[big,0]}],[["ArrowUp","mac+ArrowUp"],resize,{args:[0,-small]}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],resize,{args:[0,-big]}],[["ArrowDown","mac+ArrowDown"],resize,{args:[0,small]}],[["ctrl+ArrowDown","mac+shift+ArrowDo\
+wn"],resize,{args:[0,big]}],[["Escape","mac+Escape"],AnnotationEditor.prototype._stopResizingWithKeyboard]]))}constructor(parameters){this.parent=parameters.parent,this.id=parameters.id,this.width=this.height=null,this.pageIndex=parameters.parent.pageIndex,this.name=parameters.name,this.div=null,this._uiManager=parameters.uiManager,this.annotationElementId=null,this._willKeepAspectRatio=!1,this._initialOptions.isCentered=parameters.isCentered,this._structTreeParentId=null,this.annotationElementId=
+parameters.annotationElementId||null;const{rotation,rawDims:{pageWidth,pageHeight,pageX,pageY}}=this.parent.viewport;this.rotation=rotation,this.pageRotation=(360+rotation-this._uiManager.viewParameters.rotation)%360,this.pageDimensions=[pageWidth,pageHeight],this.pageTranslation=[pageX,pageY];const[width,height]=this.parentDimensions;this.x=parameters.x/width,this.y=parameters.y/height,this.isAttachedToDOM=!1,this.deleted=!1}get editorType(){return Object.getPrototypeOf(this).constructor._type}get mode(){
+return Object.getPrototypeOf(this).constructor._editorType}static get isDrawer(){return!1}static get _defaultLineColor(){return shadow(this,"_defaultLineColor",this._colorManager.getHexCode("CanvasText"))}static deleteAnnotationElement(editor){const fakeEditor=new FakeEditor({id:editor.parent.getNextId(),parent:editor.parent,uiManager:editor._uiManager});fakeEditor.annotationElementId=editor.annotationElementId,fakeEditor.deleted=!0,fakeEditor._uiManager.addToAnnotationStorage(fakeEditor)}static initialize(l10n,_uiManager){
+if(AnnotationEditor._l10n??=l10n,AnnotationEditor._l10nResizer||=Object.freeze({topLeft:"pdfjs-editor-resizer-top-left",topMiddle:"pdfjs-editor-resizer-top-middle",topRight:"pdfjs-editor-resizer-top-right",middleRight:"pdfjs-editor-resizer-middle-right",bottomRight:"pdfjs-editor-resizer-bottom-right",bottomMiddle:"pdfjs-editor-resizer-bottom-middle",bottomLeft:"pdfjs-editor-resizer-bottom-left",middleLeft:"pdfjs-editor-resizer-middle-left"}),AnnotationEditor._borderLineWidth!==-1)return;const style2=getComputedStyle(
+document.documentElement);AnnotationEditor._borderLineWidth=parseFloat(style2.getPropertyValue("--outline-width"))||0}static updateDefaultParams(_type,_value){}static get defaultPropertiesToUpdate(){return[]}static isHandlingMimeForPasting(mime){return!1}static paste(item,parent){unreachable("Not implemented")}get propertiesToUpdate(){return[]}get _isDraggable(){return this.#isDraggable}set _isDraggable(value){this.#isDraggable=value,this.div?.classList.toggle("draggable",value)}get isEnterHandled(){
+return!0}center(){const[pageWidth,pageHeight]=this.pageDimensions;switch(this.parentRotation){case 90:this.x-=this.height*pageHeight/(pageWidth*2),this.y+=this.width*pageWidth/(pageHeight*2);break;case 180:this.x+=this.width/2,this.y+=this.height/2;break;case 270:this.x+=this.height*pageHeight/(pageWidth*2),this.y-=this.width*pageWidth/(pageHeight*2);break;default:this.x-=this.width/2,this.y-=this.height/2;break}this.fixAndSetPosition()}addCommands(params){this._uiManager.addCommands(params)}get currentLayer(){
+return this._uiManager.currentLayer}setInBackground(){this.div.style.zIndex=0}setInForeground(){this.div.style.zIndex=this.#zIndex}setParent(parent){parent!==null?(this.pageIndex=parent.pageIndex,this.pageDimensions=parent.pageDimensions):this.#stopResizing(),this.parent=parent}focusin(event2){this._focusEventsAllowed&&(this.#hasBeenClicked?this.#hasBeenClicked=!1:this.parent.setSelected(this))}focusout(event2){!this._focusEventsAllowed||!this.isAttachedToDOM||event2.relatedTarget?.closest(`#${this.
+id}`)||(event2.preventDefault(),this.parent?.isMultipleSelection||this.commitOrRemove())}commitOrRemove(){this.isEmpty()?this.remove():this.commit()}commit(){this.isInEditMode()&&this.addToAnnotationStorage()}addToAnnotationStorage(){this._uiManager.addToAnnotationStorage(this)}setAt(x,y,tx,ty){const[width,height]=this.parentDimensions;[tx,ty]=this.screenToPageTranslation(tx,ty),this.x=(x+tx)/width,this.y=(y+ty)/height,this.fixAndSetPosition()}_moveAfterPaste(baseX,baseY){const[parentWidth,parentHeight]=this.
+parentDimensions;this.setAt(baseX*parentWidth,baseY*parentHeight,this.width*parentWidth,this.height*parentHeight),this._onTranslated()}#translate([width,height],x,y){[x,y]=this.screenToPageTranslation(x,y),this.x+=x/width,this.y+=y/height,this._onTranslating(this.x,this.y),this.fixAndSetPosition()}translate(x,y){this.#translate(this.parentDimensions,x,y)}translateInPage(x,y){this.#initialRect||=[this.x,this.y,this.width,this.height],this.#translate(this.pageDimensions,x,y),this.div.scrollIntoView(
+{block:"nearest"})}translationDone(){this._onTranslated(this.x,this.y)}drag(tx,ty){this.#initialRect||=[this.x,this.y,this.width,this.height];const{div,parentDimensions:[parentWidth,parentHeight]}=this;if(this.x+=tx/parentWidth,this.y+=ty/parentHeight,this.parent&&(this.x<0||this.x>1||this.y<0||this.y>1)){const{x:x2,y:y2}=this.div.getBoundingClientRect();this.parent.findNewParent(this,x2,y2)&&(this.x-=Math.floor(this.x),this.y-=Math.floor(this.y))}let{x,y}=this;const[bx,by]=this.getBaseTranslation();
+x+=bx,y+=by;const{style:style2}=div;style2.left=`${(100*x).toFixed(2)}%`,style2.top=`${(100*y).toFixed(2)}%`,this._onTranslating(x,y),div.scrollIntoView({block:"nearest"})}_onTranslating(x,y){}_onTranslated(x,y){}get _hasBeenMoved(){return!!this.#initialRect&&(this.#initialRect[0]!==this.x||this.#initialRect[1]!==this.y)}get _hasBeenResized(){return!!this.#initialRect&&(this.#initialRect[2]!==this.width||this.#initialRect[3]!==this.height)}getBaseTranslation(){const[parentWidth,parentHeight]=this.
+parentDimensions,{_borderLineWidth}=AnnotationEditor,x=_borderLineWidth/parentWidth,y=_borderLineWidth/parentHeight;switch(this.rotation){case 90:return[-x,y];case 180:return[x,y];case 270:return[x,-y];default:return[-x,-y]}}get _mustFixPosition(){return!0}fixAndSetPosition(rotation=this.rotation){const{div:{style:style2},pageDimensions:[pageWidth,pageHeight]}=this;let{x,y,width,height}=this;if(width*=pageWidth,height*=pageHeight,x*=pageWidth,y*=pageHeight,this._mustFixPosition)switch(rotation){case 0:
+x=MathClamp(x,0,pageWidth-width),y=MathClamp(y,0,pageHeight-height);break;case 90:x=MathClamp(x,0,pageWidth-height),y=MathClamp(y,width,pageHeight);break;case 180:x=MathClamp(x,width,pageWidth),y=MathClamp(y,height,pageHeight);break;case 270:x=MathClamp(x,height,pageWidth),y=MathClamp(y,0,pageHeight-width);break}this.x=x/=pageWidth,this.y=y/=pageHeight;const[bx,by]=this.getBaseTranslation();x+=bx,y+=by,style2.left=`${(100*x).toFixed(2)}%`,style2.top=`${(100*y).toFixed(2)}%`,this.moveInDOM()}static#rotatePoint(x,y,angle){
+switch(angle){case 90:return[y,-x];case 180:return[-x,-y];case 270:return[-y,x];default:return[x,y]}}screenToPageTranslation(x,y){return AnnotationEditor.#rotatePoint(x,y,this.parentRotation)}pageTranslationToScreen(x,y){return AnnotationEditor.#rotatePoint(x,y,360-this.parentRotation)}#getRotationMatrix(rotation){switch(rotation){case 90:{const[pageWidth,pageHeight]=this.pageDimensions;return[0,-pageWidth/pageHeight,pageHeight/pageWidth,0]}case 180:return[-1,0,0,-1];case 270:{const[pageWidth,pageHeight]=this.
+pageDimensions;return[0,pageWidth/pageHeight,-pageHeight/pageWidth,0]}default:return[1,0,0,1]}}get parentScale(){return this._uiManager.viewParameters.realScale}get parentRotation(){return(this._uiManager.viewParameters.rotation+this.pageRotation)%360}get parentDimensions(){const{parentScale,pageDimensions:[pageWidth,pageHeight]}=this;return[pageWidth*parentScale,pageHeight*parentScale]}setDims(width,height){const[parentWidth,parentHeight]=this.parentDimensions,{style:style2}=this.div;style2.width=
+`${(100*width/parentWidth).toFixed(2)}%`,this.#keepAspectRatio||(style2.height=`${(100*height/parentHeight).toFixed(2)}%`)}fixDims(){const{style:style2}=this.div,{height,width}=style2,widthPercent=width.endsWith("%"),heightPercent=!this.#keepAspectRatio&&height.endsWith("%");if(widthPercent&&heightPercent)return;const[parentWidth,parentHeight]=this.parentDimensions;widthPercent||(style2.width=`${(100*parseFloat(width)/parentWidth).toFixed(2)}%`),!this.#keepAspectRatio&&!heightPercent&&(style2.height=
+`${(100*parseFloat(height)/parentHeight).toFixed(2)}%`)}getInitialTranslation(){return[0,0]}#createResizers(){if(this.#resizersDiv)return;this.#resizersDiv=document.createElement("div"),this.#resizersDiv.classList.add("resizers");const classes=this._willKeepAspectRatio?["topLeft","topRight","bottomRight","bottomLeft"]:["topLeft","topMiddle","topRight","middleRight","bottomRight","bottomMiddle","bottomLeft","middleLeft"],signal=this._uiManager._signal;for(const name of classes){const div=document.
+createElement("div");this.#resizersDiv.append(div),div.classList.add("resizer",name),div.setAttribute("data-resizer-name",name),div.addEventListener("pointerdown",this.#resizerPointerdown.bind(this,name),{signal}),div.addEventListener("contextmenu",noContextMenu,{signal}),div.tabIndex=-1}this.div.prepend(this.#resizersDiv)}#resizerPointerdown(name,event2){event2.preventDefault();const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac)return;this.#altText?.toggle(!1);const savedDraggable=this.
+_isDraggable;this._isDraggable=!1,this.#lastPointerCoords=[event2.screenX,event2.screenY];const ac=new AbortController,signal=this._uiManager.combinedSignal(ac);this.parent.togglePointerEvents(!1),window.addEventListener("pointermove",this.#resizerPointermove.bind(this,name),{passive:!0,capture:!0,signal}),window.addEventListener("touchmove",stopEvent,{passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.
+width,savedHeight:this.height};const savedParentCursor=this.parent.div.style.cursor,savedCursor=this.div.style.cursor;this.div.style.cursor=this.parent.div.style.cursor=window.getComputedStyle(event2.target).cursor;const pointerUpCallback=()=>{ac.abort(),this.parent.togglePointerEvents(!0),this.#altText?.toggle(!0),this._isDraggable=savedDraggable,this.parent.div.style.cursor=savedParentCursor,this.div.style.cursor=savedCursor,this.#addResizeToUndoStack()};window.addEventListener("pointerup",pointerUpCallback,
+{signal}),window.addEventListener("blur",pointerUpCallback,{signal})}#resize(x,y,width,height){this.width=width,this.height=height,this.x=x,this.y=y;const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(parentWidth*width,parentHeight*height),this.fixAndSetPosition(),this._onResized()}_onResized(){}#addResizeToUndoStack(){if(!this.#savedDimensions)return;const{savedX,savedY,savedWidth,savedHeight}=this.#savedDimensions;this.#savedDimensions=null;const newX=this.x,newY=this.y,newWidth=this.
+width,newHeight=this.height;newX===savedX&&newY===savedY&&newWidth===savedWidth&&newHeight===savedHeight||this.addCommands({cmd:this.#resize.bind(this,newX,newY,newWidth,newHeight),undo:this.#resize.bind(this,savedX,savedY,savedWidth,savedHeight),mustExec:!0})}static _round(x){return Math.round(x*1e4)/1e4}#resizerPointermove(name,event2){const[parentWidth,parentHeight]=this.parentDimensions,savedX=this.x,savedY=this.y,savedWidth=this.width,savedHeight=this.height,minWidth=AnnotationEditor.MIN_SIZE/
+parentWidth,minHeight=AnnotationEditor.MIN_SIZE/parentHeight,rotationMatrix=this.#getRotationMatrix(this.rotation),transf=(x,y)=>[rotationMatrix[0]*x+rotationMatrix[2]*y,rotationMatrix[1]*x+rotationMatrix[3]*y],invRotationMatrix=this.#getRotationMatrix(360-this.rotation),invTransf=(x,y)=>[invRotationMatrix[0]*x+invRotationMatrix[2]*y,invRotationMatrix[1]*x+invRotationMatrix[3]*y];let getPoint2,getOpposite,isDiagonal=!1,isHorizontal=!1;switch(name){case"topLeft":isDiagonal=!0,getPoint2=(w,h2)=>[0,
+0],getOpposite=(w,h2)=>[w,h2];break;case"topMiddle":getPoint2=(w,h2)=>[w/2,0],getOpposite=(w,h2)=>[w/2,h2];break;case"topRight":isDiagonal=!0,getPoint2=(w,h2)=>[w,0],getOpposite=(w,h2)=>[0,h2];break;case"middleRight":isHorizontal=!0,getPoint2=(w,h2)=>[w,h2/2],getOpposite=(w,h2)=>[0,h2/2];break;case"bottomRight":isDiagonal=!0,getPoint2=(w,h2)=>[w,h2],getOpposite=(w,h2)=>[0,0];break;case"bottomMiddle":getPoint2=(w,h2)=>[w/2,h2],getOpposite=(w,h2)=>[w/2,0];break;case"bottomLeft":isDiagonal=!0,getPoint2=
+(w,h2)=>[0,h2],getOpposite=(w,h2)=>[w,0];break;case"middleLeft":isHorizontal=!0,getPoint2=(w,h2)=>[0,h2/2],getOpposite=(w,h2)=>[w,h2/2];break}const point2=getPoint2(savedWidth,savedHeight),oppositePoint=getOpposite(savedWidth,savedHeight);let transfOppositePoint=transf(...oppositePoint);const oppositeX=AnnotationEditor._round(savedX+transfOppositePoint[0]),oppositeY=AnnotationEditor._round(savedY+transfOppositePoint[1]);let ratioX=1,ratioY=1,deltaX,deltaY;if(event2.fromKeyboard)({deltaX,deltaY}=
+event2);else{const{screenX,screenY}=event2,[lastScreenX,lastScreenY]=this.#lastPointerCoords;[deltaX,deltaY]=this.screenToPageTranslation(screenX-lastScreenX,screenY-lastScreenY),this.#lastPointerCoords[0]=screenX,this.#lastPointerCoords[1]=screenY}if([deltaX,deltaY]=invTransf(deltaX/parentWidth,deltaY/parentHeight),isDiagonal){const oldDiag=Math.hypot(savedWidth,savedHeight);ratioX=ratioY=Math.max(Math.min(Math.hypot(oppositePoint[0]-point2[0]-deltaX,oppositePoint[1]-point2[1]-deltaY)/oldDiag,1/
+savedWidth,1/savedHeight),minWidth/savedWidth,minHeight/savedHeight)}else isHorizontal?ratioX=MathClamp(Math.abs(oppositePoint[0]-point2[0]-deltaX),minWidth,1)/savedWidth:ratioY=MathClamp(Math.abs(oppositePoint[1]-point2[1]-deltaY),minHeight,1)/savedHeight;const newWidth=AnnotationEditor._round(savedWidth*ratioX),newHeight=AnnotationEditor._round(savedHeight*ratioY);transfOppositePoint=transf(...getOpposite(newWidth,newHeight));const newX=oppositeX-transfOppositePoint[0],newY=oppositeY-transfOppositePoint[1];
+this.#initialRect||=[this.x,this.y,this.width,this.height],this.width=newWidth,this.height=newHeight,this.x=newX,this.y=newY,this.setDims(parentWidth*newWidth,parentHeight*newHeight),this.fixAndSetPosition(),this._onResizing()}_onResizing(){}altTextFinish(){this.#altText?.finish()}get toolbarButtons(){return null}async addEditToolbar(){if(this._editToolbar||this.#isInEditMode)return this._editToolbar;this._editToolbar=new EditorToolbar(this),this.div.append(this._editToolbar.render()),this._editToolbar.
+addButton("comment",this.addCommentButton());const{toolbarButtons}=this;if(toolbarButtons)for(const[name,tool]of toolbarButtons)await this._editToolbar.addButton(name,tool);return this._editToolbar.addButton("delete"),this._editToolbar}removeEditToolbar(){this._editToolbar&&(this._editToolbar.remove(),this._editToolbar=null,this.#altText?.destroy())}addContainer(container2){const editToolbarDiv=this._editToolbar?.div;editToolbarDiv?editToolbarDiv.before(container2):this.div.append(container2)}getClientDimensions(){
+return this.div.getBoundingClientRect()}createAltText(){return this.#altText||(AltText.initialize(AnnotationEditor._l10n),this.#altText=new AltText(this),this.#accessibilityData&&(this.#altText.data=this.#accessibilityData,this.#accessibilityData=null)),this.#altText}get altTextData(){return this.#altText?.data}set altTextData(data){this.#altText&&(this.#altText.data=data)}get guessedAltText(){return this.#altText?.guessedText}async setGuessedAltText(text2){await this.#altText?.setGuessedText(text2)}serializeAltText(isForCopying){
+return this.#altText?.serialize(isForCopying)}hasAltText(){return!!this.#altText&&!this.#altText.isEmpty()}hasAltTextData(){return this.#altText?.hasData()??!1}addCommentButton(){return this.#comment?this.#comment:this.#comment=new Comment$1(this)}get commentColor(){return null}get comment(){const comment2=this.#comment;return{text:comment2.data.text,date:comment2.data.date,deleted:comment2.isDeleted(),color:this.commentColor}}set comment(text2){this.#comment||(this.#comment=new Comment$1(this)),
+this.#comment.data=text2}setCommentData(text2){this.#comment||(this.#comment=new Comment$1(this)),this.#comment.setInitialText(text2)}get hasEditedComment(){return this.#comment?.hasBeenEdited()}async editComment(){this.#comment||(this.#comment=new Comment$1(this)),this.#comment.edit()}addComment(serialized){this.hasEditedComment&&(serialized.popup={contents:this.comment.text,deleted:this.comment.deleted})}render(){const div=this.div=document.createElement("div");div.setAttribute("data-editor-ro\
+tation",(360-this.rotation)%360),div.className=this.name,div.setAttribute("id",this.id),div.tabIndex=this.#disabled?-1:0,div.setAttribute("role","application"),this.defaultL10nId&&div.setAttribute("data-l10n-id",this.defaultL10nId),this._isVisible||div.classList.add("hidden"),this.setInForeground(),this.#addFocusListeners();const[parentWidth,parentHeight]=this.parentDimensions;this.parentRotation%180!==0&&(div.style.maxWidth=`${(100*parentHeight/parentWidth).toFixed(2)}%`,div.style.maxHeight=`${(100*
+parentWidth/parentHeight).toFixed(2)}%`);const[tx,ty]=this.getInitialTranslation();return this.translate(tx,ty),bindEvents(this,div,["keydown","pointerdown","dblclick"]),this.isResizable&&this._uiManager._supportsPinchToZoom&&(this.#touchManager||=new TouchManager({container:div,isPinchingDisabled:()=>!this.isSelected,onPinchStart:this.#touchPinchStartCallback.bind(this),onPinching:this.#touchPinchCallback.bind(this),onPinchEnd:this.#touchPinchEndCallback.bind(this),signal:this._uiManager._signal})),
+this._uiManager._editorUndoBar?.hide(),div}#touchPinchStartCallback(){this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height},this.#altText?.toggle(!1),this.parent.togglePointerEvents(!1)}#touchPinchCallback(_origin,prevDistance,distance){let factor=.7*(distance/prevDistance)+1-.7;if(factor===1)return;const rotationMatrix=this.#getRotationMatrix(this.rotation),transf=(x,y)=>[rotationMatrix[0]*x+rotationMatrix[2]*y,rotationMatrix[1]*x+rotationMatrix[3]*y],
+[parentWidth,parentHeight]=this.parentDimensions,savedX=this.x,savedY=this.y,savedWidth=this.width,savedHeight=this.height,minWidth=AnnotationEditor.MIN_SIZE/parentWidth,minHeight=AnnotationEditor.MIN_SIZE/parentHeight;factor=Math.max(Math.min(factor,1/savedWidth,1/savedHeight),minWidth/savedWidth,minHeight/savedHeight);const newWidth=AnnotationEditor._round(savedWidth*factor),newHeight=AnnotationEditor._round(savedHeight*factor);if(newWidth===savedWidth&&newHeight===savedHeight)return;this.#initialRect||=
+[savedX,savedY,savedWidth,savedHeight];const transfCenterPoint=transf(savedWidth/2,savedHeight/2),centerX=AnnotationEditor._round(savedX+transfCenterPoint[0]),centerY=AnnotationEditor._round(savedY+transfCenterPoint[1]),newTransfCenterPoint=transf(newWidth/2,newHeight/2);this.x=centerX-newTransfCenterPoint[0],this.y=centerY-newTransfCenterPoint[1],this.width=newWidth,this.height=newHeight,this.setDims(parentWidth*newWidth,parentHeight*newHeight),this.fixAndSetPosition(),this._onResizing()}#touchPinchEndCallback(){
+this.#altText?.toggle(!0),this.parent.togglePointerEvents(!0),this.#addResizeToUndoStack()}pointerdown(event2){const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac){event2.preventDefault();return}if(this.#hasBeenClicked=!0,this._isDraggable){this.#setUpDragSession(event2);return}this.#selectOnPointerEvent(event2)}#selectOnPointerEvent(event2){const{isMac}=util_FeatureTest.platform;event2.ctrlKey&&!isMac||event2.shiftKey||event2.metaKey&&isMac?this.parent.toggleSelected(
+this):this.parent.setSelected(this)}#setUpDragSession(event2){const{isSelected}=this;this._uiManager.setUpDragSession();let hasDraggingStarted=!1;const ac=new AbortController,signal=this._uiManager.combinedSignal(ac),opts={capture:!0,passive:!1,signal},cancelDrag=e=>{ac.abort(),this.#dragPointerId=null,this.#hasBeenClicked=!1,this._uiManager.endDragSession()||this.#selectOnPointerEvent(e),hasDraggingStarted&&this._onStopDragging()};isSelected&&(this.#prevDragX=event2.clientX,this.#prevDragY=event2.
+clientY,this.#dragPointerId=event2.pointerId,this.#dragPointerType=event2.pointerType,window.addEventListener("pointermove",e=>{hasDraggingStarted||(hasDraggingStarted=!0,this._onStartDragging());const{clientX:x,clientY:y,pointerId}=e;if(pointerId!==this.#dragPointerId){stopEvent(e);return}const[tx,ty]=this.screenToPageTranslation(x-this.#prevDragX,y-this.#prevDragY);this.#prevDragX=x,this.#prevDragY=y,this._uiManager.dragSelectedEditors(tx,ty)},opts),window.addEventListener("touchmove",stopEvent,
+opts),window.addEventListener("pointerdown",e=>{e.pointerType===this.#dragPointerType&&(this.#touchManager||e.isPrimary)&&cancelDrag(e),stopEvent(e)},opts));const pointerUpCallback=e=>{if(!this.#dragPointerId||this.#dragPointerId===e.pointerId){cancelDrag(e);return}stopEvent(e)};window.addEventListener("pointerup",pointerUpCallback,{signal}),window.addEventListener("blur",pointerUpCallback,{signal})}_onStartDragging(){}_onStopDragging(){}moveInDOM(){this.#moveInDOMTimeout&&clearTimeout(this.#moveInDOMTimeout),
+this.#moveInDOMTimeout=setTimeout(()=>{this.#moveInDOMTimeout=null,this.parent?.moveEditorInDOM(this)},0)}_setParentAndPosition(parent,x,y){parent.changeParent(this),this.x=x,this.y=y,this.fixAndSetPosition(),this._onTranslated()}getRect(tx,ty,rotation=this.rotation){const scale2=this.parentScale,[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation,shiftX=tx/scale2,shiftY=ty/scale2,x=this.x*pageWidth,y=this.y*pageHeight,width=this.width*pageWidth,height=this.height*pageHeight;
+switch(rotation){case 0:return[x+shiftX+pageX,pageHeight-y-shiftY-height+pageY,x+shiftX+width+pageX,pageHeight-y-shiftY+pageY];case 90:return[x+shiftY+pageX,pageHeight-y+shiftX+pageY,x+shiftY+height+pageX,pageHeight-y+shiftX+width+pageY];case 180:return[x-shiftX-width+pageX,pageHeight-y+shiftY+pageY,x-shiftX+pageX,pageHeight-y+shiftY+height+pageY];case 270:return[x-shiftY-height+pageX,pageHeight-y-shiftX-width+pageY,x-shiftY+pageX,pageHeight-y-shiftX+pageY];default:throw new Error("Invalid rotat\
+ion")}}getRectInCurrentCoords(rect,pageHeight){const[x1,y1,x2,y2]=rect,width=x2-x1,height=y2-y1;switch(this.rotation){case 0:return[x1,pageHeight-y2,width,height];case 90:return[x1,pageHeight-y1,height,width];case 180:return[x2,pageHeight-y1,width,height];case 270:return[x2,pageHeight-y2,height,width];default:throw new Error("Invalid rotation")}}onceAdded(focus2){}isEmpty(){return!1}enableEditMode(){return this.isInEditMode()?!1:(this.parent.setEditingState(!1),this.#isInEditMode=!0,!0)}disableEditMode(){
+return this.isInEditMode()?(this.parent.setEditingState(!0),this.#isInEditMode=!1,!0):!1}isInEditMode(){return this.#isInEditMode}shouldGetKeyboardEvents(){return this.#isResizerEnabledForKeyboard}needsToBeRebuilt(){return this.div&&!this.isAttachedToDOM}get isOnScreen(){const{top,left,bottom,right}=this.getClientDimensions(),{innerHeight,innerWidth}=window;return left<innerWidth&&right>0&&top<innerHeight&&bottom>0}#addFocusListeners(){if(this.#focusAC||!this.div)return;this.#focusAC=new AbortController;
+const signal=this._uiManager.combinedSignal(this.#focusAC);this.div.addEventListener("focusin",this.focusin.bind(this),{signal}),this.div.addEventListener("focusout",this.focusout.bind(this),{signal})}rebuild(){this.#addFocusListeners()}rotate(_angle){}resize(){}serializeDeleted(){return{id:this.annotationElementId,deleted:!0,pageIndex:this.pageIndex,popupRef:this._initialData?.popupRef||""}}serialize(isForCopying=!1,context=null){unreachable("An editor must be serializable")}static async deserialize(data,parent,uiManager){
+const editor=new this.prototype.constructor({parent,id:parent.getNextId(),uiManager,annotationElementId:data.annotationElementId});editor.rotation=data.rotation,editor.#accessibilityData=data.accessibilityData,editor._isCopy=data.isCopy||!1;const[pageWidth,pageHeight]=editor.pageDimensions,[x,y,width,height]=editor.getRectInCurrentCoords(data.rect,pageHeight);return editor.x=x/pageWidth,editor.y=y/pageHeight,editor.width=width/pageWidth,editor.height=height/pageHeight,editor}get hasBeenModified(){
+return!!this.annotationElementId&&(this.deleted||this.serialize()!==null)}remove(){if(this.#focusAC?.abort(),this.#focusAC=null,this.isEmpty()||this.commit(),this.parent?this.parent.remove(this):this._uiManager.removeEditor(this),this.#moveInDOMTimeout&&(clearTimeout(this.#moveInDOMTimeout),this.#moveInDOMTimeout=null),this.#stopResizing(),this.removeEditToolbar(),this.#telemetryTimeouts){for(const timeout of this.#telemetryTimeouts.values())clearTimeout(timeout);this.#telemetryTimeouts=null}this.
+parent=null,this.#touchManager?.destroy(),this.#touchManager=null}get isResizable(){return!1}makeResizable(){this.isResizable&&(this.#createResizers(),this.#resizersDiv.classList.remove("hidden"))}get toolbarPosition(){return null}keydown(event2){if(!this.isResizable||event2.target!==this.div||event2.key!=="Enter")return;this._uiManager.setSelected(this),this.#savedDimensions={savedX:this.x,savedY:this.y,savedWidth:this.width,savedHeight:this.height};const children=this.#resizersDiv.children;if(!this.#allResizerDivs){
+this.#allResizerDivs=Array.from(children);const boundResizerKeydown=this.#resizerKeydown.bind(this),boundResizerBlur=this.#resizerBlur.bind(this),signal=this._uiManager._signal;for(const div of this.#allResizerDivs){const name=div.getAttribute("data-resizer-name");div.setAttribute("role","spinbutton"),div.addEventListener("keydown",boundResizerKeydown,{signal}),div.addEventListener("blur",boundResizerBlur,{signal}),div.addEventListener("focus",this.#resizerFocus.bind(this,name),{signal}),div.setAttribute(
+"data-l10n-id",AnnotationEditor._l10nResizer[name])}}const first=this.#allResizerDivs[0];let firstPosition=0;for(const div of children){if(div===first)break;firstPosition++}const nextFirstPosition=(360-this.rotation+this.parentRotation)%360/90*(this.#allResizerDivs.length/4);if(nextFirstPosition!==firstPosition){if(nextFirstPosition<firstPosition)for(let i2=0;i2<firstPosition-nextFirstPosition;i2++)this.#resizersDiv.append(this.#resizersDiv.firstChild);else if(nextFirstPosition>firstPosition)for(let i2=0;i2<
+nextFirstPosition-firstPosition;i2++)this.#resizersDiv.firstChild.before(this.#resizersDiv.lastChild);let i=0;for(const child2 of children){const name=this.#allResizerDivs[i++].getAttribute("data-resizer-name");child2.setAttribute("data-l10n-id",AnnotationEditor._l10nResizer[name])}}this.#setResizerTabIndex(0),this.#isResizerEnabledForKeyboard=!0,this.#resizersDiv.firstChild.focus({focusVisible:!0}),event2.preventDefault(),event2.stopImmediatePropagation()}#resizerKeydown(event2){AnnotationEditor.
+_resizerKeyboardManager.exec(this,event2)}#resizerBlur(event2){this.#isResizerEnabledForKeyboard&&event2.relatedTarget?.parentNode!==this.#resizersDiv&&this.#stopResizing()}#resizerFocus(name){this.#focusedResizerName=this.#isResizerEnabledForKeyboard?name:""}#setResizerTabIndex(value){if(this.#allResizerDivs)for(const div of this.#allResizerDivs)div.tabIndex=value}_resizeWithKeyboard(x,y){this.#isResizerEnabledForKeyboard&&this.#resizerPointermove(this.#focusedResizerName,{deltaX:x,deltaY:y,fromKeyboard:!0})}#stopResizing(){
+this.#isResizerEnabledForKeyboard=!1,this.#setResizerTabIndex(-1),this.#addResizeToUndoStack()}_stopResizingWithKeyboard(){this.#stopResizing(),this.div.focus()}select(){if(!(this.isSelected&&this._editToolbar)){if(this.isSelected=!0,this.makeResizable(),this.div?.classList.add("selectedEditor"),!this._editToolbar){this.addEditToolbar().then(()=>{this.div?.classList.contains("selectedEditor")&&this._editToolbar?.show()});return}this._editToolbar?.show(),this.#altText?.toggleAltTextBadge(!1)}}unselect(){
+this.isSelected&&(this.isSelected=!1,this.#resizersDiv?.classList.add("hidden"),this.div?.classList.remove("selectedEditor"),this.div?.contains(document.activeElement)&&this._uiManager.currentLayer.div.focus({preventScroll:!0}),this._editToolbar?.hide(),this.#altText?.toggleAltTextBadge(!0))}updateParams(type2,value){}disableEditing(){}enableEditing(){}get canChangeContent(){return!1}enterInEditMode(){this.canChangeContent&&(this.enableEditMode(),this.div.focus())}dblclick(event2){this.enterInEditMode(),
+this.parent.updateToolbar({mode:this.constructor._editorType,editId:this.id})}getElementForAltText(){return this.div}get contentDiv(){return this.div}get isEditing(){return this.#isEditing}set isEditing(value){this.#isEditing=value,this.parent&&(value?(this.parent.setSelected(this),this.parent.setActiveEditor(this)):this.parent.setActiveEditor(null))}setAspectRatio(width,height){this.#keepAspectRatio=!0;const aspectRatio=width/height,{style:style2}=this.div;style2.aspectRatio=aspectRatio,style2.
+height="auto"}static get MIN_SIZE(){return 16}static canCreateNewEmptyEditor(){return!0}get telemetryInitialData(){return{action:"added"}}get telemetryFinalData(){return null}_reportTelemetry(data,mustWait=!1){if(mustWait){this.#telemetryTimeouts||=new Map;const{action:action2}=data;let timeout=this.#telemetryTimeouts.get(action2);timeout&&clearTimeout(timeout),timeout=setTimeout(()=>{this._reportTelemetry(data),this.#telemetryTimeouts.delete(action2),this.#telemetryTimeouts.size===0&&(this.#telemetryTimeouts=
+null)},AnnotationEditor._telemetryTimeout),this.#telemetryTimeouts.set(action2,timeout);return}data.type||=this.editorType,this._uiManager._eventBus.dispatch("reporttelemetry",{source:this,details:{type:"editing",data}})}show(visible=this._isVisible){this.div.classList.toggle("hidden",!visible),this._isVisible=visible}enable(){this.div&&(this.div.tabIndex=0),this.#disabled=!1}disable(){this.div&&(this.div.tabIndex=-1),this.#disabled=!0}renderAnnotationElement(annotation){let content2=annotation.
+container.querySelector(".annotationContent");if(!content2)content2=document.createElement("div"),content2.classList.add("annotationContent",this.editorType),annotation.container.prepend(content2);else if(content2.nodeName==="CANVAS"){const canvas=content2;content2=document.createElement("div"),content2.classList.add("annotationContent",this.editorType),canvas.before(content2)}return content2}resetAnnotationElement(annotation){const{firstChild}=annotation.container;firstChild?.nodeName==="DIV"&&
+firstChild.classList.contains("annotationContent")&&firstChild.remove()}}class FakeEditor extends AnnotationEditor{constructor(params){super(params),this.annotationElementId=params.annotationElementId,this.deleted=!0}serialize(){return this.serializeDeleted()}}const SEED=3285377520,MASK_HIGH=4294901760,MASK_LOW=65535;class MurmurHash3_64{constructor(seed){this.h1=seed?seed&4294967295:SEED,this.h2=seed?seed&4294967295:SEED}update(input){let data,length;if(typeof input=="string"){data=new Uint8Array(
+input.length*2),length=0;for(let i=0,ii=input.length;i<ii;i++){const code2=input.charCodeAt(i);code2<=255?data[length++]=code2:(data[length++]=code2>>>8,data[length++]=code2&255)}}else if(ArrayBuffer.isView(input))data=input.slice(),length=data.byteLength;else throw new Error("Invalid data format, must be a string or TypedArray.");const blockCounts=length>>2,tailLength=length-blockCounts*4,dataUint32=new Uint32Array(data.buffer,0,blockCounts);let k1=0,k2=0,h1=this.h1,h2=this.h2;const C1=3432918353,
+C2=461845907,C1_LOW=C1&MASK_LOW,C2_LOW=C2&MASK_LOW;for(let i=0;i<blockCounts;i++)i&1?(k1=dataUint32[i],k1=k1*C1&MASK_HIGH|k1*C1_LOW&MASK_LOW,k1=k1<<15|k1>>>17,k1=k1*C2&MASK_HIGH|k1*C2_LOW&MASK_LOW,h1^=k1,h1=h1<<13|h1>>>19,h1=h1*5+3864292196):(k2=dataUint32[i],k2=k2*C1&MASK_HIGH|k2*C1_LOW&MASK_LOW,k2=k2<<15|k2>>>17,k2=k2*C2&MASK_HIGH|k2*C2_LOW&MASK_LOW,h2^=k2,h2=h2<<13|h2>>>19,h2=h2*5+3864292196);switch(k1=0,tailLength){case 3:k1^=data[blockCounts*4+2]<<16;case 2:k1^=data[blockCounts*4+1]<<8;case 1:
+k1^=data[blockCounts*4],k1=k1*C1&MASK_HIGH|k1*C1_LOW&MASK_LOW,k1=k1<<15|k1>>>17,k1=k1*C2&MASK_HIGH|k1*C2_LOW&MASK_LOW,blockCounts&1?h1^=k1:h2^=k1}this.h1=h1,this.h2=h2}hexdigest(){let h1=this.h1,h2=this.h2;return h1^=h2>>>1,h1=h1*3981806797&MASK_HIGH|h1*36045&MASK_LOW,h2=h2*4283543511&MASK_HIGH|((h2<<16|h1>>>16)*2950163797&MASK_HIGH)>>>16,h1^=h2>>>1,h1=h1*444984403&MASK_HIGH|h1*60499&MASK_LOW,h2=h2*3301882366&MASK_HIGH|((h2<<16|h1>>>16)*3120437893&MASK_HIGH)>>>16,h1^=h2>>>1,(h1>>>0).toString(16).
+padStart(8,"0")+(h2>>>0).toString(16).padStart(8,"0")}}const SerializableEmpty=Object.freeze({map:null,hash:"",transfer:void 0});class AnnotationStorage{#modified=!1;#modifiedIds=null;#storage=new Map;constructor(){this.onSetModified=null,this.onResetModified=null,this.onAnnotationEditor=null}getValue(key2,defaultValue){const value=this.#storage.get(key2);return value===void 0?defaultValue:Object.assign(defaultValue,value)}getRawValue(key2){return this.#storage.get(key2)}remove(key2){if(this.#storage.
+delete(key2),this.#storage.size===0&&this.resetModified(),typeof this.onAnnotationEditor=="function"){for(const value of this.#storage.values())if(value instanceof AnnotationEditor)return;this.onAnnotationEditor(null)}}setValue(key2,value){const obj=this.#storage.get(key2);let modified=!1;if(obj!==void 0)for(const[entry,val]of Object.entries(value))obj[entry]!==val&&(modified=!0,obj[entry]=val);else modified=!0,this.#storage.set(key2,value);modified&&this.#setModified(),value instanceof AnnotationEditor&&
+typeof this.onAnnotationEditor=="function"&&this.onAnnotationEditor(value.constructor._type)}has(key2){return this.#storage.has(key2)}get size(){return this.#storage.size}#setModified(){this.#modified||(this.#modified=!0,typeof this.onSetModified=="function"&&this.onSetModified())}resetModified(){this.#modified&&(this.#modified=!1,typeof this.onResetModified=="function"&&this.onResetModified())}get print(){return new PrintAnnotationStorage(this)}get serializable(){if(this.#storage.size===0)return SerializableEmpty;
+const map2=new Map,hash2=new MurmurHash3_64,transfer=[],context=Object.create(null);let hasBitmap=!1;for(const[key2,val]of this.#storage){const serialized=val instanceof AnnotationEditor?val.serialize(!1,context):val;serialized&&(map2.set(key2,serialized),hash2.update(`${key2}:${JSON.stringify(serialized)}`),hasBitmap||=!!serialized.bitmap)}if(hasBitmap)for(const value of map2.values())value.bitmap&&transfer.push(value.bitmap);return map2.size>0?{map:map2,hash:hash2.hexdigest(),transfer}:SerializableEmpty}get editorStats(){
+let stats=null;const typeToEditor=new Map;for(const value of this.#storage.values()){if(!(value instanceof AnnotationEditor))continue;const editorStats=value.telemetryFinalData;if(!editorStats)continue;const{type:type2}=editorStats;typeToEditor.has(type2)||typeToEditor.set(type2,Object.getPrototypeOf(value).constructor),stats||=Object.create(null);const map2=stats[type2]||=new Map;for(const[key2,val]of Object.entries(editorStats)){if(key2==="type")continue;let counters=map2.get(key2);counters||(counters=
+new Map,map2.set(key2,counters));const count=counters.get(val)??0;counters.set(val,count+1)}}for(const[type2,editor]of typeToEditor)stats[type2]=editor.computeTelemetryFinalData(stats[type2]);return stats}resetModifiedIds(){this.#modifiedIds=null}get modifiedIds(){if(this.#modifiedIds)return this.#modifiedIds;const ids=[];for(const value of this.#storage.values())!(value instanceof AnnotationEditor)||!value.annotationElementId||!value.serialize()||ids.push(value.annotationElementId);return this.#modifiedIds=
+{ids:new Set(ids),hash:ids.join(",")}}[Symbol.iterator](){return this.#storage.entries()}}class PrintAnnotationStorage extends AnnotationStorage{#serializable;constructor(parent){super();const{map:map2,hash:hash2,transfer}=parent.serializable,clone2=structuredClone(map2,transfer?{transfer}:null);this.#serializable={map:clone2,hash:hash2,transfer}}get print(){unreachable("Should not call PrintAnnotationStorage.print")}get serializable(){return this.#serializable}get modifiedIds(){return shadow(this,
+"modifiedIds",{ids:new Set,hash:""})}}class FontLoader{#systemFonts=new Set;constructor({ownerDocument=globalThis.document,styleElement:styleElement2=null}){this._document=ownerDocument,this.nativeFontFaces=new Set,this.styleElement=null,this.loadingRequests=[],this.loadTestFontId=0}addNativeFontFace(nativeFontFace){this.nativeFontFaces.add(nativeFontFace),this._document.fonts.add(nativeFontFace)}removeNativeFontFace(nativeFontFace){this.nativeFontFaces.delete(nativeFontFace),this._document.fonts.
+delete(nativeFontFace)}insertRule(rule){this.styleElement||(this.styleElement=this._document.createElement("style"),this._document.documentElement.getElementsByTagName("head")[0].append(this.styleElement));const styleSheet=this.styleElement.sheet;styleSheet.insertRule(rule,styleSheet.cssRules.length)}clear(){for(const nativeFontFace of this.nativeFontFaces)this._document.fonts.delete(nativeFontFace);this.nativeFontFaces.clear(),this.#systemFonts.clear(),this.styleElement&&(this.styleElement.remove(),
+this.styleElement=null)}async loadSystemFont({systemFontInfo:info2,disableFontFace,_inspectFont}){if(!(!info2||this.#systemFonts.has(info2.loadedName))){if(assert$1(!disableFontFace,"loadSystemFont shouldn't be called when `disableFontFace` is set."),this.isFontLoadingAPISupported){const{loadedName,src,style:style2}=info2,fontFace=new FontFace(loadedName,src,style2);this.addNativeFontFace(fontFace);try{await fontFace.load(),this.#systemFonts.add(loadedName),_inspectFont?.(info2)}catch{warn(`Cann\
+ot load system font: ${info2.baseFontName}, installing it could help to improve PDF rendering.`),this.removeNativeFontFace(fontFace)}return}unreachable("Not implemented: loadSystemFont without the Font Loading API.")}}async bind(font){if(font.attached||font.missingFile&&!font.systemFontInfo)return;if(font.attached=!0,font.systemFontInfo){await this.loadSystemFont(font);return}if(this.isFontLoadingAPISupported){const nativeFontFace=font.createNativeFontFace();if(nativeFontFace){this.addNativeFontFace(
+nativeFontFace);try{await nativeFontFace.loaded}catch(ex){throw warn(`Failed to load font '${nativeFontFace.family}': '${ex}'.`),font.disableFontFace=!0,ex}}return}const rule=font.createFontFaceRule();if(rule){if(this.insertRule(rule),this.isSyncFontLoadingSupported)return;await new Promise(resolve2=>{const request=this._queueLoadingCallback(resolve2);this._prepareFontLoadEvent(font,request)})}}get isFontLoadingAPISupported(){const hasFonts=!!this._document?.fonts;return shadow(this,"isFontLoadi\
+ngAPISupported",hasFonts)}get isSyncFontLoadingSupported(){return shadow(this,"isSyncFontLoadingSupported",isNodeJS||util_FeatureTest.platform.isFirefox)}_queueLoadingCallback(callback){function completeRequest(){for(assert$1(!request.done,"completeRequest() cannot be called twice."),request.done=!0;loadingRequests.length>0&&loadingRequests[0].done;){const otherRequest=loadingRequests.shift();setTimeout(otherRequest.callback,0)}}const{loadingRequests}=this,request={done:!1,complete:completeRequest,
+callback};return loadingRequests.push(request),request}get _loadTestFont(){const testFont=atob("T1RUTwALAIAAAwAwQ0ZGIDHtZg4AAAOYAAAAgUZGVE1lkzZwAAAEHAAAABxHREVGABQAFQAABDgAAAAeT1MvMlYNYwkAAAEgAAAAYGNtYXABDQLUAAACNAAAAUJoZWFk/xVFDQAAALwAAAA2aGhlYQdkA+oAAAD0AAAAJGhtdHgD6AAAAAAEWAAAAAZtYXhwAAJQAAAAARgAAAAGbmFtZVjmdH4AAAGAAAAAsXBvc3T/hgAzAAADeAAAACAAAQAAAAEAALZRFsRfDzz1AAsD6AAAAADOBOTLAAAAAM4KHDwAAAAAA+gDIQAAAAgAAgAAAAAAAAABAAADIQAAAFoD6AAAAAAD6AABAAAAAAAAAAAAAAAAAAAAAQAAUAAAAgAAAAQD6AH0AAUAAAKKArwA\
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\
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\
+AAABAAAAAMmJbzEAAAAAzgTjFQAAAADOBOQpAAEAAAAAAAAADAAUAAQAAAABAAAAAgABAAAAAAAAAAAD6AAAAAAAAA==");return shadow(this,"_loadTestFont",testFont)}_prepareFontLoadEvent(font,request){function int32(data2,offset2){return data2.charCodeAt(offset2)<<24|data2.charCodeAt(offset2+1)<<16|data2.charCodeAt(offset2+2)<<8|data2.charCodeAt(offset2+3)&255}function spliceString(s2,offset2,remove2,insert){const chunk1=s2.substring(0,offset2),chunk2=s2.substring(offset2+remove2);return chunk1+insert+chunk2}let i,ii;const canvas=this.
+_document.createElement("canvas");canvas.width=1,canvas.height=1;const ctx=canvas.getContext("2d");let called=0;function isFontReady(name,callback){if(++called>30){warn("Load test font never loaded."),callback();return}if(ctx.font="30px "+name,ctx.fillText(".",0,20),ctx.getImageData(0,0,1,1).data[3]>0){callback();return}setTimeout(isFontReady.bind(null,name,callback))}const loadTestFontId=`lt${Date.now()}${this.loadTestFontId++}`;let data=this._loadTestFont;data=spliceString(data,976,loadTestFontId.
+length,loadTestFontId);const CFF_CHECKSUM_OFFSET=16,XXXX_VALUE=1482184792;let checksum=int32(data,CFF_CHECKSUM_OFFSET);for(i=0,ii=loadTestFontId.length-3;i<ii;i+=4)checksum=checksum-XXXX_VALUE+int32(loadTestFontId,i)|0;i<loadTestFontId.length&&(checksum=checksum-XXXX_VALUE+int32(loadTestFontId+"XXX",i)|0),data=spliceString(data,CFF_CHECKSUM_OFFSET,4,string32(checksum));const url2=`url(data:font/opentype;base64,${btoa(data)});`,rule=`@font-face {font-family:"${loadTestFontId}";src:${url2}}`;this.
+insertRule(rule);const div=this._document.createElement("div");div.style.visibility="hidden",div.style.width=div.style.height="10px",div.style.position="absolute",div.style.top=div.style.left="0px";for(const name of[font.loadedName,loadTestFontId]){const span=this._document.createElement("span");span.textContent="Hi",span.style.fontFamily=name,div.append(span)}this._document.body.append(div),isFontReady(loadTestFontId,()=>{div.remove(),request.complete()})}}class FontFaceObject{constructor(translatedData,inspectFont=null){
+this.compiledGlyphs=Object.create(null);for(const i in translatedData)this[i]=translatedData[i];this._inspectFont=inspectFont}createNativeFontFace(){if(!this.data||this.disableFontFace)return null;let nativeFontFace;if(!this.cssFontInfo)nativeFontFace=new FontFace(this.loadedName,this.data,{});else{const css2={weight:this.cssFontInfo.fontWeight};this.cssFontInfo.italicAngle&&(css2.style=`oblique ${this.cssFontInfo.italicAngle}deg`),nativeFontFace=new FontFace(this.cssFontInfo.fontFamily,this.data,
+css2)}return this._inspectFont?.(this),nativeFontFace}createFontFaceRule(){if(!this.data||this.disableFontFace)return null;const url2=`url(data:${this.mimetype};base64,${toBase64Util(this.data)});`;let rule;if(!this.cssFontInfo)rule=`@font-face {font-family:"${this.loadedName}";src:${url2}}`;else{let css2=`font-weight: ${this.cssFontInfo.fontWeight};`;this.cssFontInfo.italicAngle&&(css2+=`font-style: oblique ${this.cssFontInfo.italicAngle}deg;`),rule=`@font-face {font-family:"${this.cssFontInfo.
+fontFamily}";${css2}src:${url2}}`}return this._inspectFont?.(this,url2),rule}getPathGenerator(objs,character){if(this.compiledGlyphs[character]!==void 0)return this.compiledGlyphs[character];const objId=this.loadedName+"_path_"+character;let cmds;try{cmds=objs.get(objId)}catch(ex){warn(`getPathGenerator - ignoring character: "${ex}".`)}const path2=new Path2D(cmds||"");return this.fontExtraProperties||objs.delete(objId),this.compiledGlyphs[character]=path2}}function getUrlProp(val){if(val instanceof
+URL)return val.href;if(typeof val=="string"){if(isNodeJS)return val;const url2=URL.parse(val,window.location);if(url2)return url2.href}throw new Error("Invalid PDF url data: either string or URL-object is expected in the url property.")}function getDataProp(val){if(isNodeJS&&typeof Buffer<"u"&&val instanceof Buffer)throw new Error("Please provide binary data as `Uint8Array`, rather than `Buffer`.");if(val instanceof Uint8Array&&val.byteLength===val.buffer.byteLength)return val;if(typeof val=="st\
+ring")return stringToBytes(val);if(val instanceof ArrayBuffer||ArrayBuffer.isView(val)||typeof val=="object"&&!isNaN(val?.length))return new Uint8Array(val);throw new Error("Invalid PDF binary data: either TypedArray, string, or array-like object is expected in the data property.")}function getFactoryUrlProp(val){if(typeof val!="string")return null;if(val.endsWith("/"))return val;throw new Error(`Invalid factory url: "${val}" must include trailing slash.`)}const isRefProxy=v=>typeof v=="object"&&
+Number.isInteger(v?.num)&&v.num>=0&&Number.isInteger(v?.gen)&&v.gen>=0,isNameProxy=v=>typeof v=="object"&&typeof v?.name=="string",isValidExplicitDest=_isValidExplicitDest.bind(null,isRefProxy,isNameProxy);class LoopbackPort{#listeners=new Map;#deferred=Promise.resolve();postMessage(obj,transfer){const event2={data:structuredClone(obj,transfer?{transfer}:null)};this.#deferred.then(()=>{for(const[listener]of this.#listeners)listener.call(this,event2)})}addEventListener(name,listener,options=null){
+let rmAbort=null;if(options?.signal instanceof AbortSignal){const{signal}=options;if(signal.aborted){warn("LoopbackPort - cannot use an `aborted` signal.");return}const onAbort=()=>this.removeEventListener(name,listener);rmAbort=()=>signal.removeEventListener("abort",onAbort),signal.addEventListener("abort",onAbort)}this.#listeners.set(listener,rmAbort)}removeEventListener(name,listener){this.#listeners.get(listener)?.(),this.#listeners.delete(listener)}terminate(){for(const[,rmAbort]of this.#listeners)
+rmAbort?.();this.#listeners.clear()}}const CallbackKind={DATA:1,ERROR:2},StreamKind={CANCEL:1,CANCEL_COMPLETE:2,CLOSE:3,ENQUEUE:4,ERROR:5,PULL:6,PULL_COMPLETE:7,START_COMPLETE:8};function onFn(){}function wrapReason(ex){if(ex instanceof AbortException||ex instanceof InvalidPDFException||ex instanceof PasswordException||ex instanceof ResponseException||ex instanceof UnknownErrorException)return ex;switch(ex instanceof Error||typeof ex=="object"&&ex!==null||unreachable('wrapReason: Expected "reaso\
+n" to be a (possibly cloned) Error.'),ex.name){case"AbortException":return new AbortException(ex.message);case"InvalidPDFException":return new InvalidPDFException(ex.message);case"PasswordException":return new PasswordException(ex.message,ex.code);case"ResponseException":return new ResponseException(ex.message,ex.status,ex.missing);case"UnknownErrorException":return new UnknownErrorException(ex.message,ex.details)}return new UnknownErrorException(ex.message,ex.toString())}class MessageHandler{#messageAC=new AbortController;constructor(sourceName,targetName,comObj){
+this.sourceName=sourceName,this.targetName=targetName,this.comObj=comObj,this.callbackId=1,this.streamId=1,this.streamSinks=Object.create(null),this.streamControllers=Object.create(null),this.callbackCapabilities=Object.create(null),this.actionHandler=Object.create(null),comObj.addEventListener("message",this.#onMessage.bind(this),{signal:this.#messageAC.signal})}#onMessage({data}){if(data.targetName!==this.sourceName)return;if(data.stream){this.#processStreamMessage(data);return}if(data.callback){
+const callbackId=data.callbackId,capability=this.callbackCapabilities[callbackId];if(!capability)throw new Error(`Cannot resolve callback ${callbackId}`);if(delete this.callbackCapabilities[callbackId],data.callback===CallbackKind.DATA)capability.resolve(data.data);else if(data.callback===CallbackKind.ERROR)capability.reject(wrapReason(data.reason));else throw new Error("Unexpected callback case");return}const action2=this.actionHandler[data.action];if(!action2)throw new Error(`Unknown action fr\
+om worker: ${data.action}`);if(data.callbackId){const sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj;Promise.try(action2,data.data).then(function(result){comObj.postMessage({sourceName,targetName,callback:CallbackKind.DATA,callbackId:data.callbackId,data:result})},function(reason){comObj.postMessage({sourceName,targetName,callback:CallbackKind.ERROR,callbackId:data.callbackId,reason:wrapReason(reason)})});return}if(data.streamId){this.#createStreamSink(data);return}action2(
+data.data)}on(actionName,handler){const ah=this.actionHandler;if(ah[actionName])throw new Error(`There is already an actionName called "${actionName}"`);ah[actionName]=handler}send(actionName,data,transfers){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:actionName,data},transfers)}sendWithPromise(actionName,data,transfers){const callbackId=this.callbackId++,capability=Promise.withResolvers();this.callbackCapabilities[callbackId]=capability;try{this.comObj.
+postMessage({sourceName:this.sourceName,targetName:this.targetName,action:actionName,callbackId,data},transfers)}catch(ex){capability.reject(ex)}return capability.promise}sendWithStream(actionName,data,queueingStrategy,transfers){const streamId=this.streamId++,sourceName=this.sourceName,targetName=this.targetName,comObj=this.comObj;return new ReadableStream({start:controller=>{const startCapability=Promise.withResolvers();return this.streamControllers[streamId]={controller,startCall:startCapability,
+pullCall:null,cancelCall:null,isClosed:!1},comObj.postMessage({sourceName,targetName,action:actionName,streamId,data,desiredSize:controller.desiredSize},transfers),startCapability.promise},pull:controller=>{const pullCapability=Promise.withResolvers();return this.streamControllers[streamId].pullCall=pullCapability,comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL,streamId,desiredSize:controller.desiredSize}),pullCapability.promise},cancel:reason=>{assert$1(reason instanceof Error,
+"cancel must have a valid reason");const cancelCapability=Promise.withResolvers();return this.streamControllers[streamId].cancelCall=cancelCapability,this.streamControllers[streamId].isClosed=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.CANCEL,streamId,reason:wrapReason(reason)}),cancelCapability.promise}},queueingStrategy)}#createStreamSink(data){const streamId=data.streamId,sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj,self2=this,action2=this.actionHandler[data.
+action],streamSink={enqueue(chunk,size2=1,transfers){if(this.isCancelled)return;const lastDesiredSize=this.desiredSize;this.desiredSize-=size2,lastDesiredSize>0&&this.desiredSize<=0&&(this.sinkCapability=Promise.withResolvers(),this.ready=this.sinkCapability.promise),comObj.postMessage({sourceName,targetName,stream:StreamKind.ENQUEUE,streamId,chunk},transfers)},close(){this.isCancelled||(this.isCancelled=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.CLOSE,streamId}),delete self2.
+streamSinks[streamId])},error(reason){assert$1(reason instanceof Error,"error must have a valid reason"),!this.isCancelled&&(this.isCancelled=!0,comObj.postMessage({sourceName,targetName,stream:StreamKind.ERROR,streamId,reason:wrapReason(reason)}))},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:data.desiredSize,ready:null};streamSink.sinkCapability.resolve(),streamSink.ready=streamSink.sinkCapability.promise,this.streamSinks[streamId]=streamSink,Promise.
+try(action2,data.data,streamSink).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.START_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.START_COMPLETE,streamId,reason:wrapReason(reason)})})}#processStreamMessage(data){const streamId=data.streamId,sourceName=this.sourceName,targetName=data.sourceName,comObj=this.comObj,streamController=this.streamControllers[streamId],streamSink=this.streamSinks[streamId];switch(data.
+stream){case StreamKind.START_COMPLETE:data.success?streamController.startCall.resolve():streamController.startCall.reject(wrapReason(data.reason));break;case StreamKind.PULL_COMPLETE:data.success?streamController.pullCall.resolve():streamController.pullCall.reject(wrapReason(data.reason));break;case StreamKind.PULL:if(!streamSink){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,success:!0});break}streamSink.desiredSize<=0&&data.desiredSize>0&&streamSink.sinkCapability.
+resolve(),streamSink.desiredSize=data.desiredSize,Promise.try(streamSink.onPull||onFn).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.PULL_COMPLETE,streamId,reason:wrapReason(reason)})});break;case StreamKind.ENQUEUE:if(assert$1(streamController,"enqueue should have stream controller"),streamController.isClosed)break;streamController.controller.enqueue(data.
+chunk);break;case StreamKind.CLOSE:if(assert$1(streamController,"close should have stream controller"),streamController.isClosed)break;streamController.isClosed=!0,streamController.controller.close(),this.#deleteStreamController(streamController,streamId);break;case StreamKind.ERROR:assert$1(streamController,"error should have stream controller"),streamController.controller.error(wrapReason(data.reason)),this.#deleteStreamController(streamController,streamId);break;case StreamKind.CANCEL_COMPLETE:
+data.success?streamController.cancelCall.resolve():streamController.cancelCall.reject(wrapReason(data.reason)),this.#deleteStreamController(streamController,streamId);break;case StreamKind.CANCEL:if(!streamSink)break;const dataReason=wrapReason(data.reason);Promise.try(streamSink.onCancel||onFn,dataReason).then(function(){comObj.postMessage({sourceName,targetName,stream:StreamKind.CANCEL_COMPLETE,streamId,success:!0})},function(reason){comObj.postMessage({sourceName,targetName,stream:StreamKind.
+CANCEL_COMPLETE,streamId,reason:wrapReason(reason)})}),streamSink.sinkCapability.reject(dataReason),streamSink.isCancelled=!0,delete this.streamSinks[streamId];break;default:throw new Error("Unexpected stream case")}}async#deleteStreamController(streamController,streamId){await Promise.allSettled([streamController.startCall?.promise,streamController.pullCall?.promise,streamController.cancelCall?.promise]),delete this.streamControllers[streamId]}destroy(){this.#messageAC?.abort(),this.#messageAC=
+null}}class BaseCanvasFactory{#enableHWA=!1;constructor({enableHWA=!1}){this.#enableHWA=enableHWA}create(width,height){if(width<=0||height<=0)throw new Error("Invalid canvas size");const canvas=this._createCanvas(width,height);return{canvas,context:canvas.getContext("2d",{willReadFrequently:!this.#enableHWA})}}reset(canvasAndContext,width,height){if(!canvasAndContext.canvas)throw new Error("Canvas is not specified");if(width<=0||height<=0)throw new Error("Invalid canvas size");canvasAndContext.canvas.
+width=width,canvasAndContext.canvas.height=height}destroy(canvasAndContext){if(!canvasAndContext.canvas)throw new Error("Canvas is not specified");canvasAndContext.canvas.width=0,canvasAndContext.canvas.height=0,canvasAndContext.canvas=null,canvasAndContext.context=null}_createCanvas(width,height){unreachable("Abstract method `_createCanvas` called.")}}class DOMCanvasFactory extends BaseCanvasFactory{constructor({ownerDocument=globalThis.document,enableHWA=!1}){super({enableHWA}),this._document=
+ownerDocument}_createCanvas(width,height){const canvas=this._document.createElement("canvas");return canvas.width=width,canvas.height=height,canvas}}class BaseCMapReaderFactory{constructor({baseUrl=null,isCompressed=!0}){this.baseUrl=baseUrl,this.isCompressed=isCompressed}async fetch({name}){if(!this.baseUrl)throw new Error("Ensure that the `cMapUrl` and `cMapPacked` API parameters are provided.");if(!name)throw new Error("CMap name must be specified.");const url2=this.baseUrl+name+(this.isCompressed?
+".bcmap":"");return this._fetch(url2).then(cMapData=>({cMapData,isCompressed:this.isCompressed})).catch(reason=>{throw new Error(`Unable to load ${this.isCompressed?"binary ":""}CMap at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMCMapReaderFactory extends BaseCMapReaderFactory{async _fetch(url2){const data=await fetchData(url2,this.isCompressed?"arraybuffer":"text");return data instanceof ArrayBuffer?new Uint8Array(data):stringToBytes(data)}}class BaseFilterFactory{addFilter(maps){
+return"none"}addHCMFilter(fgColor,bgColor){return"none"}addAlphaFilter(map2){return"none"}addLuminosityFilter(map2){return"none"}addHighlightHCMFilter(filterName,fgColor,bgColor,newFgColor,newBgColor){return"none"}destroy(keepHCM=!1){}}class DOMFilterFactory extends BaseFilterFactory{#baseUrl;#_cache;#_defs;#docId;#document;#_hcmCache;#id=0;constructor({docId,ownerDocument=globalThis.document}){super(),this.#docId=docId,this.#document=ownerDocument}get#cache(){return this.#_cache||=new Map}get#hcmCache(){
+return this.#_hcmCache||=new Map}get#defs(){if(!this.#_defs){const div=this.#document.createElement("div"),{style:style2}=div;style2.visibility="hidden",style2.contain="strict",style2.width=style2.height=0,style2.position="absolute",style2.top=style2.left=0,style2.zIndex=-1;const svg2=this.#document.createElementNS(SVG_NS,"svg");svg2.setAttribute("width",0),svg2.setAttribute("height",0),this.#_defs=this.#document.createElementNS(SVG_NS,"defs"),div.append(svg2),svg2.append(this.#_defs),this.#document.
+body.append(div)}return this.#_defs}#createTables(maps){if(maps.length===1){const mapR2=maps[0],buffer=new Array(256);for(let i=0;i<256;i++)buffer[i]=mapR2[i]/255;const table2=buffer.join(",");return[table2,table2,table2]}const[mapR,mapG,mapB]=maps,bufferR=new Array(256),bufferG=new Array(256),bufferB=new Array(256);for(let i=0;i<256;i++)bufferR[i]=mapR[i]/255,bufferG[i]=mapG[i]/255,bufferB[i]=mapB[i]/255;return[bufferR.join(","),bufferG.join(","),bufferB.join(",")]}#createUrl(id2){if(this.#baseUrl===
+void 0){this.#baseUrl="";const url2=this.#document.URL;url2!==this.#document.baseURI&&(isDataScheme(url2)?warn('#createUrl: ignore "data:"-URL for performance reasons.'):this.#baseUrl=updateUrlHash(url2,""))}return`url(${this.#baseUrl}#${id2})`}addFilter(maps){if(!maps)return"none";let value=this.#cache.get(maps);if(value)return value;const[tableR,tableG,tableB]=this.#createTables(maps),key2=maps.length===1?tableR:`${tableR}${tableG}${tableB}`;if(value=this.#cache.get(key2),value)return this.#cache.
+set(maps,value),value;const id2=`g_${this.#docId}_transfer_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(maps,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addTransferMapConversion(tableR,tableG,tableB,filter),url2}addHCMFilter(fgColor,bgColor){const key2=`${fgColor}-${bgColor}`,filterName="base";let info2=this.#hcmCache.get(filterName);if(info2?.key===key2||(info2?(info2.filter?.remove(),info2.key=key2,info2.url="none",info2.filter=null):(info2=
+{key:key2,url:"none",filter:null},this.#hcmCache.set(filterName,info2)),!fgColor||!bgColor))return info2.url;const fgRGB=this.#getRGB(fgColor);fgColor=Util.makeHexColor(...fgRGB);const bgRGB=this.#getRGB(bgColor);if(bgColor=Util.makeHexColor(...bgRGB),this.#defs.style.color="",fgColor==="#000000"&&bgColor==="#ffffff"||fgColor===bgColor)return info2.url;const map2=new Array(256);for(let i=0;i<=255;i++){const x=i/255;map2[i]=x<=.03928?x/12.92:((x+.055)/1.055)**2.4}const table2=map2.join(","),id2=`\
+g_${this.#docId}_hcm_filter`,filter=info2.filter=this.#createFilter(id2);this.#addTransferMapConversion(table2,table2,table2,filter),this.#addGrayConversion(filter);const getSteps=(c2,n)=>{const start2=fgRGB[c2]/255,end=bgRGB[c2]/255,arr=new Array(n+1);for(let i=0;i<=n;i++)arr[i]=start2+i/n*(end-start2);return arr.join(",")};return this.#addTransferMapConversion(getSteps(0,5),getSteps(1,5),getSteps(2,5),filter),info2.url=this.#createUrl(id2),info2.url}addAlphaFilter(map2){let value=this.#cache.get(
+map2);if(value)return value;const[tableA]=this.#createTables([map2]),key2=`alpha_${tableA}`;if(value=this.#cache.get(key2),value)return this.#cache.set(map2,value),value;const id2=`g_${this.#docId}_alpha_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(map2,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addTransferMapAlphaConversion(tableA,filter),url2}addLuminosityFilter(map2){let value=this.#cache.get(map2||"luminosity");if(value)return value;let tableA,
+key2;if(map2?([tableA]=this.#createTables([map2]),key2=`luminosity_${tableA}`):key2="luminosity",value=this.#cache.get(key2),value)return this.#cache.set(map2,value),value;const id2=`g_${this.#docId}_luminosity_map_${this.#id++}`,url2=this.#createUrl(id2);this.#cache.set(map2,url2),this.#cache.set(key2,url2);const filter=this.#createFilter(id2);return this.#addLuminosityConversion(filter),map2&&this.#addTransferMapAlphaConversion(tableA,filter),url2}addHighlightHCMFilter(filterName,fgColor,bgColor,newFgColor,newBgColor){
+const key2=`${fgColor}-${bgColor}-${newFgColor}-${newBgColor}`;let info2=this.#hcmCache.get(filterName);if(info2?.key===key2||(info2?(info2.filter?.remove(),info2.key=key2,info2.url="none",info2.filter=null):(info2={key:key2,url:"none",filter:null},this.#hcmCache.set(filterName,info2)),!fgColor||!bgColor))return info2.url;const[fgRGB,bgRGB]=[fgColor,bgColor].map(this.#getRGB.bind(this));let fgGray=Math.round(.2126*fgRGB[0]+.7152*fgRGB[1]+.0722*fgRGB[2]),bgGray=Math.round(.2126*bgRGB[0]+.7152*bgRGB[1]+
+.0722*bgRGB[2]),[newFgRGB,newBgRGB]=[newFgColor,newBgColor].map(this.#getRGB.bind(this));bgGray<fgGray&&([fgGray,bgGray,newFgRGB,newBgRGB]=[bgGray,fgGray,newBgRGB,newFgRGB]),this.#defs.style.color="";const getSteps=(fg,bg,n)=>{const arr=new Array(256),step=(bgGray-fgGray)/n,newStart=fg/255,newStep=(bg-fg)/(255*n);let prev2=0;for(let i=0;i<=n;i++){const k=Math.round(fgGray+i*step),value=newStart+i*newStep;for(let j=prev2;j<=k;j++)arr[j]=value;prev2=k+1}for(let i=prev2;i<256;i++)arr[i]=arr[prev2-1];
+return arr.join(",")},id2=`g_${this.#docId}_hcm_${filterName}_filter`,filter=info2.filter=this.#createFilter(id2);return this.#addGrayConversion(filter),this.#addTransferMapConversion(getSteps(newFgRGB[0],newBgRGB[0],5),getSteps(newFgRGB[1],newBgRGB[1],5),getSteps(newFgRGB[2],newBgRGB[2],5),filter),info2.url=this.#createUrl(id2),info2.url}destroy(keepHCM=!1){keepHCM&&this.#_hcmCache?.size||(this.#_defs?.parentNode.parentNode.remove(),this.#_defs=null,this.#_cache?.clear(),this.#_cache=null,this.#_hcmCache?.
+clear(),this.#_hcmCache=null,this.#id=0)}#addLuminosityConversion(filter){const feColorMatrix=this.#document.createElementNS(SVG_NS,"feColorMatrix");feColorMatrix.setAttribute("type","matrix"),feColorMatrix.setAttribute("values","0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3 0.59 0.11 0 0"),filter.append(feColorMatrix)}#addGrayConversion(filter){const feColorMatrix=this.#document.createElementNS(SVG_NS,"feColorMatrix");feColorMatrix.setAttribute("type","matrix"),feColorMatrix.setAttribute("values","0.2126 0\
+.7152 0.0722 0 0 0.2126 0.7152 0.0722 0 0 0.2126 0.7152 0.0722 0 0 0 0 0 1 0"),filter.append(feColorMatrix)}#createFilter(id2){const filter=this.#document.createElementNS(SVG_NS,"filter");return filter.setAttribute("color-interpolation-filters","sRGB"),filter.setAttribute("id",id2),this.#defs.append(filter),filter}#appendFeFunc(feComponentTransfer,func,table2){const feFunc=this.#document.createElementNS(SVG_NS,func);feFunc.setAttribute("type","discrete"),feFunc.setAttribute("tableValues",table2),
+feComponentTransfer.append(feFunc)}#addTransferMapConversion(rTable,gTable,bTable,filter){const feComponentTransfer=this.#document.createElementNS(SVG_NS,"feComponentTransfer");filter.append(feComponentTransfer),this.#appendFeFunc(feComponentTransfer,"feFuncR",rTable),this.#appendFeFunc(feComponentTransfer,"feFuncG",gTable),this.#appendFeFunc(feComponentTransfer,"feFuncB",bTable)}#addTransferMapAlphaConversion(aTable,filter){const feComponentTransfer=this.#document.createElementNS(SVG_NS,"feComp\
+onentTransfer");filter.append(feComponentTransfer),this.#appendFeFunc(feComponentTransfer,"feFuncA",aTable)}#getRGB(color){return this.#defs.style.color=color,getRGB(getComputedStyle(this.#defs).getPropertyValue("color"))}}class BaseStandardFontDataFactory{constructor({baseUrl=null}){this.baseUrl=baseUrl}async fetch({filename}){if(!this.baseUrl)throw new Error("Ensure that the `standardFontDataUrl` API parameter is provided.");if(!filename)throw new Error("Font filename must be specified.");const url2=`${this.
+baseUrl}${filename}`;return this._fetch(url2).catch(reason=>{throw new Error(`Unable to load font data at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMStandardFontDataFactory extends BaseStandardFontDataFactory{async _fetch(url2){const data=await fetchData(url2,"arraybuffer");return new Uint8Array(data)}}class BaseWasmFactory{constructor({baseUrl=null}){this.baseUrl=baseUrl}async fetch({filename}){if(!this.baseUrl)throw new Error("Ensure that the `was\
+mUrl` API parameter is provided.");if(!filename)throw new Error("Wasm filename must be specified.");const url2=`${this.baseUrl}${filename}`;return this._fetch(url2).catch(reason=>{throw new Error(`Unable to load wasm data at: ${url2}`)})}async _fetch(url2){unreachable("Abstract method `_fetch` called.")}}class DOMWasmFactory extends BaseWasmFactory{async _fetch(url2){const data=await fetchData(url2,"arraybuffer");return new Uint8Array(data)}}isNodeJS&&warn("Please use the `legacy` build in Node.\
+js environments.");async function node_utils_fetchData(url2){const data=await process.getBuiltinModule("fs").promises.readFile(url2);return new Uint8Array(data)}class NodeFilterFactory extends BaseFilterFactory{}class NodeCanvasFactory extends BaseCanvasFactory{_createCanvas(width,height){return process.getBuiltinModule("module").createRequire(import.meta.url)("@napi-rs/canvas").createCanvas(width,height)}}class NodeCMapReaderFactory extends BaseCMapReaderFactory{async _fetch(url2){return node_utils_fetchData(
+url2)}}class NodeStandardFontDataFactory extends BaseStandardFontDataFactory{async _fetch(url2){return node_utils_fetchData(url2)}}class NodeWasmFactory extends BaseWasmFactory{async _fetch(url2){return node_utils_fetchData(url2)}}const PathType={FILL:"Fill",STROKE:"Stroke",SHADING:"Shading"};function applyBoundingBox(ctx,bbox){if(!bbox)return;const width=bbox[2]-bbox[0],height=bbox[3]-bbox[1],region=new Path2D;region.rect(bbox[0],bbox[1],width,height),ctx.clip(region)}class BaseShadingPattern{isModifyingCurrentTransform(){
+return!1}getPattern(){unreachable("Abstract method `getPattern` called.")}}class RadialAxialShadingPattern extends BaseShadingPattern{constructor(IR){super(),this._type=IR[1],this._bbox=IR[2],this._colorStops=IR[3],this._p0=IR[4],this._p1=IR[5],this._r0=IR[6],this._r1=IR[7],this.matrix=null}_createGradient(ctx){let grad;this._type==="axial"?grad=ctx.createLinearGradient(this._p0[0],this._p0[1],this._p1[0],this._p1[1]):this._type==="radial"&&(grad=ctx.createRadialGradient(this._p0[0],this._p0[1],
+this._r0,this._p1[0],this._p1[1],this._r1));for(const colorStop of this._colorStops)grad.addColorStop(colorStop[0],colorStop[1]);return grad}getPattern(ctx,owner,inverse,pathType){let pattern2;if(pathType===PathType.STROKE||pathType===PathType.FILL){const ownerBBox=owner.current.getClippedPathBoundingBox(pathType,getCurrentTransform(ctx))||[0,0,0,0],width=Math.ceil(ownerBBox[2]-ownerBBox[0])||1,height=Math.ceil(ownerBBox[3]-ownerBBox[1])||1,tmpCanvas=owner.cachedCanvases.getCanvas("pattern",width,
+height),tmpCtx=tmpCanvas.context;tmpCtx.clearRect(0,0,tmpCtx.canvas.width,tmpCtx.canvas.height),tmpCtx.beginPath(),tmpCtx.rect(0,0,tmpCtx.canvas.width,tmpCtx.canvas.height),tmpCtx.translate(-ownerBBox[0],-ownerBBox[1]),inverse=Util.transform(inverse,[1,0,0,1,ownerBBox[0],ownerBBox[1]]),tmpCtx.transform(...owner.baseTransform),this.matrix&&tmpCtx.transform(...this.matrix),applyBoundingBox(tmpCtx,this._bbox),tmpCtx.fillStyle=this._createGradient(tmpCtx),tmpCtx.fill(),pattern2=ctx.createPattern(tmpCanvas.
+canvas,"no-repeat");const domMatrix=new DOMMatrix(inverse);pattern2.setTransform(domMatrix)}else applyBoundingBox(ctx,this._bbox),pattern2=this._createGradient(ctx);return pattern2}}function drawTriangle(data,context,p1,p2,p3,c1,c2,c3){const coords=context.coords,colors=context.colors,bytes=data.data,rowSize=data.width*4;let tmp;coords[p1+1]>coords[p2+1]&&(tmp=p1,p1=p2,p2=tmp,tmp=c1,c1=c2,c2=tmp),coords[p2+1]>coords[p3+1]&&(tmp=p2,p2=p3,p3=tmp,tmp=c2,c2=c3,c3=tmp),coords[p1+1]>coords[p2+1]&&(tmp=
+p1,p1=p2,p2=tmp,tmp=c1,c1=c2,c2=tmp);const x1=(coords[p1]+context.offsetX)*context.scaleX,y1=(coords[p1+1]+context.offsetY)*context.scaleY,x2=(coords[p2]+context.offsetX)*context.scaleX,y2=(coords[p2+1]+context.offsetY)*context.scaleY,x3=(coords[p3]+context.offsetX)*context.scaleX,y3=(coords[p3+1]+context.offsetY)*context.scaleY;if(y1>=y3)return;const c1r=colors[c1],c1g=colors[c1+1],c1b=colors[c1+2],c2r=colors[c2],c2g=colors[c2+1],c2b=colors[c2+2],c3r=colors[c3],c3g=colors[c3+1],c3b=colors[c3+2],
+minY=Math.round(y1),maxY=Math.round(y3);let xa,car,cag,cab,xb,cbr,cbg,cbb;for(let y=minY;y<=maxY;y++){if(y<y2){const k2=y<y1?0:(y1-y)/(y1-y2);xa=x1-(x1-x2)*k2,car=c1r-(c1r-c2r)*k2,cag=c1g-(c1g-c2g)*k2,cab=c1b-(c1b-c2b)*k2}else{let k2;y>y3?k2=1:y2===y3?k2=0:k2=(y2-y)/(y2-y3),xa=x2-(x2-x3)*k2,car=c2r-(c2r-c3r)*k2,cag=c2g-(c2g-c3g)*k2,cab=c2b-(c2b-c3b)*k2}let k;y<y1?k=0:y>y3?k=1:k=(y1-y)/(y1-y3),xb=x1-(x1-x3)*k,cbr=c1r-(c1r-c3r)*k,cbg=c1g-(c1g-c3g)*k,cbb=c1b-(c1b-c3b)*k;const x1_=Math.round(Math.min(
+xa,xb)),x2_=Math.round(Math.max(xa,xb));let j=rowSize*y+x1_*4;for(let x=x1_;x<=x2_;x++)k=(xa-x)/(xa-xb),k<0?k=0:k>1&&(k=1),bytes[j++]=car-(car-cbr)*k|0,bytes[j++]=cag-(cag-cbg)*k|0,bytes[j++]=cab-(cab-cbb)*k|0,bytes[j++]=255}}function drawFigure(data,figure,context){const ps=figure.coords,cs=figure.colors;let i,ii;switch(figure.type){case"lattice":const verticesPerRow=figure.verticesPerRow,rows=Math.floor(ps.length/verticesPerRow)-1,cols=verticesPerRow-1;for(i=0;i<rows;i++){let q2=i*verticesPerRow;
+for(let j=0;j<cols;j++,q2++)drawTriangle(data,context,ps[q2],ps[q2+1],ps[q2+verticesPerRow],cs[q2],cs[q2+1],cs[q2+verticesPerRow]),drawTriangle(data,context,ps[q2+verticesPerRow+1],ps[q2+1],ps[q2+verticesPerRow],cs[q2+verticesPerRow+1],cs[q2+1],cs[q2+verticesPerRow])}break;case"triangles":for(i=0,ii=ps.length;i<ii;i+=3)drawTriangle(data,context,ps[i],ps[i+1],ps[i+2],cs[i],cs[i+1],cs[i+2]);break;default:throw new Error("illegal figure")}}class MeshShadingPattern extends BaseShadingPattern{constructor(IR){
+super(),this._coords=IR[2],this._colors=IR[3],this._figures=IR[4],this._bounds=IR[5],this._bbox=IR[6],this._background=IR[7],this.matrix=null}_createMeshCanvas(combinedScale,backgroundColor,cachedCanvases){const offsetX=Math.floor(this._bounds[0]),offsetY=Math.floor(this._bounds[1]),boundsWidth=Math.ceil(this._bounds[2])-offsetX,boundsHeight=Math.ceil(this._bounds[3])-offsetY,width=Math.min(Math.ceil(Math.abs(boundsWidth*combinedScale[0]*1.1)),3e3),height=Math.min(Math.ceil(Math.abs(boundsHeight*
+combinedScale[1]*1.1)),3e3),scaleX=boundsWidth/width,scaleY=boundsHeight/height,context={coords:this._coords,colors:this._colors,offsetX:-offsetX,offsetY:-offsetY,scaleX:1/scaleX,scaleY:1/scaleY},paddedWidth=width+4,paddedHeight=height+4,tmpCanvas=cachedCanvases.getCanvas("mesh",paddedWidth,paddedHeight),tmpCtx=tmpCanvas.context,data=tmpCtx.createImageData(width,height);if(backgroundColor){const bytes=data.data;for(let i=0,ii=bytes.length;i<ii;i+=4)bytes[i]=backgroundColor[0],bytes[i+1]=backgroundColor[1],
+bytes[i+2]=backgroundColor[2],bytes[i+3]=255}for(const figure of this._figures)drawFigure(data,figure,context);return tmpCtx.putImageData(data,2,2),{canvas:tmpCanvas.canvas,offsetX:offsetX-2*scaleX,offsetY:offsetY-2*scaleY,scaleX,scaleY}}isModifyingCurrentTransform(){return!0}getPattern(ctx,owner,inverse,pathType){applyBoundingBox(ctx,this._bbox);const scale2=new Float32Array(2);if(pathType===PathType.SHADING)Util.singularValueDecompose2dScale(getCurrentTransform(ctx),scale2);else if(this.matrix){
+Util.singularValueDecompose2dScale(this.matrix,scale2);const[matrixScaleX,matrixScaleY]=scale2;Util.singularValueDecompose2dScale(owner.baseTransform,scale2),scale2[0]*=matrixScaleX,scale2[1]*=matrixScaleY}else Util.singularValueDecompose2dScale(owner.baseTransform,scale2);const temporaryPatternCanvas=this._createMeshCanvas(scale2,pathType===PathType.SHADING?null:this._background,owner.cachedCanvases);return pathType!==PathType.SHADING&&(ctx.setTransform(...owner.baseTransform),this.matrix&&ctx.
+transform(...this.matrix)),ctx.translate(temporaryPatternCanvas.offsetX,temporaryPatternCanvas.offsetY),ctx.scale(temporaryPatternCanvas.scaleX,temporaryPatternCanvas.scaleY),ctx.createPattern(temporaryPatternCanvas.canvas,"no-repeat")}}class DummyShadingPattern extends BaseShadingPattern{getPattern(){return"hotpink"}}function getShadingPattern(IR){switch(IR[0]){case"RadialAxial":return new RadialAxialShadingPattern(IR);case"Mesh":return new MeshShadingPattern(IR);case"Dummy":return new DummyShadingPattern}
+throw new Error(`Unknown IR type: ${IR[0]}`)}const PaintType={COLORED:1,UNCOLORED:2};class TilingPattern{static MAX_PATTERN_SIZE=3e3;constructor(IR,ctx,canvasGraphicsFactory,baseTransform){this.color=IR[1],this.operatorList=IR[2],this.matrix=IR[3],this.bbox=IR[4],this.xstep=IR[5],this.ystep=IR[6],this.paintType=IR[7],this.tilingType=IR[8],this.ctx=ctx,this.canvasGraphicsFactory=canvasGraphicsFactory,this.baseTransform=baseTransform}createPatternCanvas(owner){const{bbox,operatorList,paintType,tilingType,
+color,canvasGraphicsFactory}=this;let{xstep,ystep}=this;xstep=Math.abs(xstep),ystep=Math.abs(ystep),info("TilingType: "+tilingType);const x0=bbox[0],y0=bbox[1],x1=bbox[2],y1=bbox[3],width=x1-x0,height=y1-y0,scale2=new Float32Array(2);Util.singularValueDecompose2dScale(this.matrix,scale2);const[matrixScaleX,matrixScaleY]=scale2;Util.singularValueDecompose2dScale(this.baseTransform,scale2);const combinedScaleX=matrixScaleX*scale2[0],combinedScaleY=matrixScaleY*scale2[1];let canvasWidth=width,canvasHeight=height,
+redrawHorizontally=!1,redrawVertically=!1;const xScaledStep=Math.ceil(xstep*combinedScaleX),yScaledStep=Math.ceil(ystep*combinedScaleY),xScaledWidth=Math.ceil(width*combinedScaleX),yScaledHeight=Math.ceil(height*combinedScaleY);xScaledStep>=xScaledWidth?canvasWidth=xstep:redrawHorizontally=!0,yScaledStep>=yScaledHeight?canvasHeight=ystep:redrawVertically=!0;const dimx=this.getSizeAndScale(canvasWidth,this.ctx.canvas.width,combinedScaleX),dimy=this.getSizeAndScale(canvasHeight,this.ctx.canvas.height,
+combinedScaleY),tmpCanvas=owner.cachedCanvases.getCanvas("pattern",dimx.size,dimy.size),tmpCtx=tmpCanvas.context,graphics=canvasGraphicsFactory.createCanvasGraphics(tmpCtx);if(graphics.groupLevel=owner.groupLevel,this.setFillAndStrokeStyleToContext(graphics,paintType,color),tmpCtx.translate(-dimx.scale*x0,-dimy.scale*y0),graphics.transform(dimx.scale,0,0,dimy.scale,0,0),tmpCtx.save(),this.clipBbox(graphics,x0,y0,x1,y1),graphics.baseTransform=getCurrentTransform(graphics.ctx),graphics.executeOperatorList(
+operatorList),graphics.endDrawing(),tmpCtx.restore(),redrawHorizontally||redrawVertically){const image2=tmpCanvas.canvas;redrawHorizontally&&(canvasWidth=xstep),redrawVertically&&(canvasHeight=ystep);const dimx2=this.getSizeAndScale(canvasWidth,this.ctx.canvas.width,combinedScaleX),dimy2=this.getSizeAndScale(canvasHeight,this.ctx.canvas.height,combinedScaleY),xSize=dimx2.size,ySize=dimy2.size,tmpCanvas2=owner.cachedCanvases.getCanvas("pattern-workaround",xSize,ySize),tmpCtx2=tmpCanvas2.context,ii=redrawHorizontally?
+Math.floor(width/xstep):0,jj=redrawVertically?Math.floor(height/ystep):0;for(let i=0;i<=ii;i++)for(let j=0;j<=jj;j++)tmpCtx2.drawImage(image2,xSize*i,ySize*j,xSize,ySize,0,0,xSize,ySize);return{canvas:tmpCanvas2.canvas,scaleX:dimx2.scale,scaleY:dimy2.scale,offsetX:x0,offsetY:y0}}return{canvas:tmpCanvas.canvas,scaleX:dimx.scale,scaleY:dimy.scale,offsetX:x0,offsetY:y0}}getSizeAndScale(step,realOutputSize,scale2){const maxSize=Math.max(TilingPattern.MAX_PATTERN_SIZE,realOutputSize);let size2=Math.ceil(
+step*scale2);return size2>=maxSize?size2=maxSize:scale2=size2/step,{scale:scale2,size:size2}}clipBbox(graphics,x0,y0,x1,y1){const bboxWidth=x1-x0,bboxHeight=y1-y0;graphics.ctx.rect(x0,y0,bboxWidth,bboxHeight),Util.axialAlignedBoundingBox([x0,y0,x1,y1],getCurrentTransform(graphics.ctx),graphics.current.minMax),graphics.clip(),graphics.endPath()}setFillAndStrokeStyleToContext(graphics,paintType,color){const context=graphics.ctx,current2=graphics.current;switch(paintType){case PaintType.COLORED:const{
+fillStyle,strokeStyle}=this.ctx;context.fillStyle=current2.fillColor=fillStyle,context.strokeStyle=current2.strokeColor=strokeStyle;break;case PaintType.UNCOLORED:context.fillStyle=context.strokeStyle=color,current2.fillColor=current2.strokeColor=color;break;default:throw new FormatError(`Unsupported paint type: ${paintType}`)}}isModifyingCurrentTransform(){return!1}getPattern(ctx,owner,inverse,pathType){let matrix=inverse;pathType!==PathType.SHADING&&(matrix=Util.transform(matrix,owner.baseTransform),
+this.matrix&&(matrix=Util.transform(matrix,this.matrix)));const temporaryPatternCanvas=this.createPatternCanvas(owner);let domMatrix=new DOMMatrix(matrix);domMatrix=domMatrix.translate(temporaryPatternCanvas.offsetX,temporaryPatternCanvas.offsetY),domMatrix=domMatrix.scale(1/temporaryPatternCanvas.scaleX,1/temporaryPatternCanvas.scaleY);const pattern2=ctx.createPattern(temporaryPatternCanvas.canvas,"repeat");return pattern2.setTransform(domMatrix),pattern2}}function convertBlackAndWhiteToRGBA({src,
+srcPos=0,dest,width,height,nonBlackColor=4294967295,inverseDecode=!1}){const black=util_FeatureTest.isLittleEndian?4278190080:255,[zeroMapping,oneMapping]=inverseDecode?[nonBlackColor,black]:[black,nonBlackColor],widthInSource=width>>3,widthRemainder=width&7,srcLength=src.length;dest=new Uint32Array(dest.buffer);let destPos=0;for(let i=0;i<height;i++){for(const max2=srcPos+widthInSource;srcPos<max2;srcPos++){const elem2=srcPos<srcLength?src[srcPos]:255;dest[destPos++]=elem2&128?oneMapping:zeroMapping,
+dest[destPos++]=elem2&64?oneMapping:zeroMapping,dest[destPos++]=elem2&32?oneMapping:zeroMapping,dest[destPos++]=elem2&16?oneMapping:zeroMapping,dest[destPos++]=elem2&8?oneMapping:zeroMapping,dest[destPos++]=elem2&4?oneMapping:zeroMapping,dest[destPos++]=elem2&2?oneMapping:zeroMapping,dest[destPos++]=elem2&1?oneMapping:zeroMapping}if(widthRemainder===0)continue;const elem=srcPos<srcLength?src[srcPos++]:255;for(let j=0;j<widthRemainder;j++)dest[destPos++]=elem&1<<7-j?oneMapping:zeroMapping}return{
+srcPos,destPos}}const MIN_FONT_SIZE=16,MAX_FONT_SIZE=100,EXECUTION_TIME=15,EXECUTION_STEPS=10,FULL_CHUNK_HEIGHT=16,SCALE_MATRIX=new DOMMatrix,XY=new Float32Array(2),MIN_MAX_INIT=new Float32Array([1/0,1/0,-1/0,-1/0]);function mirrorContextOperations(ctx,destCtx){if(ctx._removeMirroring)throw new Error("Context is already forwarding operations.");ctx.__originalSave=ctx.save,ctx.__originalRestore=ctx.restore,ctx.__originalRotate=ctx.rotate,ctx.__originalScale=ctx.scale,ctx.__originalTranslate=ctx.translate,
+ctx.__originalTransform=ctx.transform,ctx.__originalSetTransform=ctx.setTransform,ctx.__originalResetTransform=ctx.resetTransform,ctx.__originalClip=ctx.clip,ctx.__originalMoveTo=ctx.moveTo,ctx.__originalLineTo=ctx.lineTo,ctx.__originalBezierCurveTo=ctx.bezierCurveTo,ctx.__originalRect=ctx.rect,ctx.__originalClosePath=ctx.closePath,ctx.__originalBeginPath=ctx.beginPath,ctx._removeMirroring=()=>{ctx.save=ctx.__originalSave,ctx.restore=ctx.__originalRestore,ctx.rotate=ctx.__originalRotate,ctx.scale=
+ctx.__originalScale,ctx.translate=ctx.__originalTranslate,ctx.transform=ctx.__originalTransform,ctx.setTransform=ctx.__originalSetTransform,ctx.resetTransform=ctx.__originalResetTransform,ctx.clip=ctx.__originalClip,ctx.moveTo=ctx.__originalMoveTo,ctx.lineTo=ctx.__originalLineTo,ctx.bezierCurveTo=ctx.__originalBezierCurveTo,ctx.rect=ctx.__originalRect,ctx.closePath=ctx.__originalClosePath,ctx.beginPath=ctx.__originalBeginPath,delete ctx._removeMirroring},ctx.save=function(){destCtx.save(),this.__originalSave()},
+ctx.restore=function(){destCtx.restore(),this.__originalRestore()},ctx.translate=function(x,y){destCtx.translate(x,y),this.__originalTranslate(x,y)},ctx.scale=function(x,y){destCtx.scale(x,y),this.__originalScale(x,y)},ctx.transform=function(a,b,c2,d2,e,f){destCtx.transform(a,b,c2,d2,e,f),this.__originalTransform(a,b,c2,d2,e,f)},ctx.setTransform=function(a,b,c2,d2,e,f){destCtx.setTransform(a,b,c2,d2,e,f),this.__originalSetTransform(a,b,c2,d2,e,f)},ctx.resetTransform=function(){destCtx.resetTransform(),
+this.__originalResetTransform()},ctx.rotate=function(angle){destCtx.rotate(angle),this.__originalRotate(angle)},ctx.clip=function(rule){destCtx.clip(rule),this.__originalClip(rule)},ctx.moveTo=function(x,y){destCtx.moveTo(x,y),this.__originalMoveTo(x,y)},ctx.lineTo=function(x,y){destCtx.lineTo(x,y),this.__originalLineTo(x,y)},ctx.bezierCurveTo=function(cp1x,cp1y,cp2x,cp2y,x,y){destCtx.bezierCurveTo(cp1x,cp1y,cp2x,cp2y,x,y),this.__originalBezierCurveTo(cp1x,cp1y,cp2x,cp2y,x,y)},ctx.rect=function(x,y,width,height){
+destCtx.rect(x,y,width,height),this.__originalRect(x,y,width,height)},ctx.closePath=function(){destCtx.closePath(),this.__originalClosePath()},ctx.beginPath=function(){destCtx.beginPath(),this.__originalBeginPath()}}class CachedCanvases{constructor(canvasFactory){this.canvasFactory=canvasFactory,this.cache=Object.create(null)}getCanvas(id2,width,height){let canvasEntry;return this.cache[id2]!==void 0?(canvasEntry=this.cache[id2],this.canvasFactory.reset(canvasEntry,width,height)):(canvasEntry=this.
+canvasFactory.create(width,height),this.cache[id2]=canvasEntry),canvasEntry}delete(id2){delete this.cache[id2]}clear(){for(const id2 in this.cache){const canvasEntry=this.cache[id2];this.canvasFactory.destroy(canvasEntry),delete this.cache[id2]}}}function drawImageAtIntegerCoords(ctx,srcImg,srcX,srcY,srcW,srcH,destX,destY,destW,destH){const[a,b,c2,d2,tx,ty]=getCurrentTransform(ctx);if(b===0&&c2===0){const tlX=destX*a+tx,rTlX=Math.round(tlX),tlY=destY*d2+ty,rTlY=Math.round(tlY),brX=(destX+destW)*
+a+tx,rWidth=Math.abs(Math.round(brX)-rTlX)||1,brY=(destY+destH)*d2+ty,rHeight=Math.abs(Math.round(brY)-rTlY)||1;return ctx.setTransform(Math.sign(a),0,0,Math.sign(d2),rTlX,rTlY),ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,0,0,rWidth,rHeight),ctx.setTransform(a,b,c2,d2,tx,ty),[rWidth,rHeight]}if(a===0&&d2===0){const tlX=destY*c2+tx,rTlX=Math.round(tlX),tlY=destX*b+ty,rTlY=Math.round(tlY),brX=(destY+destH)*c2+tx,rWidth=Math.abs(Math.round(brX)-rTlX)||1,brY=(destX+destW)*b+ty,rHeight=Math.abs(Math.round(
+brY)-rTlY)||1;return ctx.setTransform(0,Math.sign(b),Math.sign(c2),0,rTlX,rTlY),ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,0,0,rHeight,rWidth),ctx.setTransform(a,b,c2,d2,tx,ty),[rHeight,rWidth]}ctx.drawImage(srcImg,srcX,srcY,srcW,srcH,destX,destY,destW,destH);const scaleX=Math.hypot(a,b),scaleY=Math.hypot(c2,d2);return[scaleX*destW,scaleY*destH]}class CanvasExtraState{alphaIsShape=!1;fontSize=0;fontSizeScale=1;textMatrix=null;textMatrixScale=1;fontMatrix=FONT_IDENTITY_MATRIX;leading=0;x=0;y=0;lineX=0;lineY=0;charSpacing=0;wordSpacing=0;textHScale=1;textRenderingMode=TextRenderingMode.
+FILL;textRise=0;fillColor="#000000";strokeColor="#000000";patternFill=!1;patternStroke=!1;fillAlpha=1;strokeAlpha=1;lineWidth=1;activeSMask=null;transferMaps="none";constructor(width,height){this.clipBox=new Float32Array([0,0,width,height]),this.minMax=MIN_MAX_INIT.slice()}clone(){const clone2=Object.create(this);return clone2.clipBox=this.clipBox.slice(),clone2.minMax=this.minMax.slice(),clone2}getPathBoundingBox(pathType=PathType.FILL,transform2=null){const box2=this.minMax.slice();if(pathType===
+PathType.STROKE){transform2||unreachable("Stroke bounding box must include transform."),Util.singularValueDecompose2dScale(transform2,XY);const xStrokePad=XY[0]*this.lineWidth/2,yStrokePad=XY[1]*this.lineWidth/2;box2[0]-=xStrokePad,box2[1]-=yStrokePad,box2[2]+=xStrokePad,box2[3]+=yStrokePad}return box2}updateClipFromPath(){const intersect=Util.intersect(this.clipBox,this.getPathBoundingBox());this.startNewPathAndClipBox(intersect||[0,0,0,0])}isEmptyClip(){return this.minMax[0]===1/0}startNewPathAndClipBox(box2){
+this.clipBox.set(box2,0),this.minMax.set(MIN_MAX_INIT,0)}getClippedPathBoundingBox(pathType=PathType.FILL,transform2=null){return Util.intersect(this.clipBox,this.getPathBoundingBox(pathType,transform2))}}function putBinaryImageData(ctx,imgData){if(imgData instanceof ImageData){ctx.putImageData(imgData,0,0);return}const height=imgData.height,width=imgData.width,partialChunkHeight=height%FULL_CHUNK_HEIGHT,fullChunks=(height-partialChunkHeight)/FULL_CHUNK_HEIGHT,totalChunks=partialChunkHeight===0?
+fullChunks:fullChunks+1,chunkImgData=ctx.createImageData(width,FULL_CHUNK_HEIGHT);let srcPos=0,destPos;const src=imgData.data,dest=chunkImgData.data;let i,j,thisChunkHeight,elemsInThisChunk;if(imgData.kind===util_ImageKind.GRAYSCALE_1BPP){const srcLength=src.byteLength,dest32=new Uint32Array(dest.buffer,0,dest.byteLength>>2),dest32DataLength=dest32.length,fullSrcDiff=width+7>>3,white=4294967295,black=util_FeatureTest.isLittleEndian?4278190080:255;for(i=0;i<totalChunks;i++){for(thisChunkHeight=i<
+fullChunks?FULL_CHUNK_HEIGHT:partialChunkHeight,destPos=0,j=0;j<thisChunkHeight;j++){const srcDiff=srcLength-srcPos;let k=0;const kEnd=srcDiff>fullSrcDiff?width:srcDiff*8-7,kEndUnrolled=kEnd&-8;let mask=0,srcByte=0;for(;k<kEndUnrolled;k+=8)srcByte=src[srcPos++],dest32[destPos++]=srcByte&128?white:black,dest32[destPos++]=srcByte&64?white:black,dest32[destPos++]=srcByte&32?white:black,dest32[destPos++]=srcByte&16?white:black,dest32[destPos++]=srcByte&8?white:black,dest32[destPos++]=srcByte&4?white:
+black,dest32[destPos++]=srcByte&2?white:black,dest32[destPos++]=srcByte&1?white:black;for(;k<kEnd;k++)mask===0&&(srcByte=src[srcPos++],mask=128),dest32[destPos++]=srcByte&mask?white:black,mask>>=1}for(;destPos<dest32DataLength;)dest32[destPos++]=0;ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}}else if(imgData.kind===util_ImageKind.RGBA_32BPP){for(j=0,elemsInThisChunk=width*FULL_CHUNK_HEIGHT*4,i=0;i<fullChunks;i++)dest.set(src.subarray(srcPos,srcPos+elemsInThisChunk)),srcPos+=elemsInThisChunk,
+ctx.putImageData(chunkImgData,0,j),j+=FULL_CHUNK_HEIGHT;i<totalChunks&&(elemsInThisChunk=width*partialChunkHeight*4,dest.set(src.subarray(srcPos,srcPos+elemsInThisChunk)),ctx.putImageData(chunkImgData,0,j))}else if(imgData.kind===util_ImageKind.RGB_24BPP)for(thisChunkHeight=FULL_CHUNK_HEIGHT,elemsInThisChunk=width*thisChunkHeight,i=0;i<totalChunks;i++){for(i>=fullChunks&&(thisChunkHeight=partialChunkHeight,elemsInThisChunk=width*thisChunkHeight),destPos=0,j=elemsInThisChunk;j--;)dest[destPos++]=
+src[srcPos++],dest[destPos++]=src[srcPos++],dest[destPos++]=src[srcPos++],dest[destPos++]=255;ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}else throw new Error(`bad image kind: ${imgData.kind}`)}function putBinaryImageMask(ctx,imgData){if(imgData.bitmap){ctx.drawImage(imgData.bitmap,0,0);return}const height=imgData.height,width=imgData.width,partialChunkHeight=height%FULL_CHUNK_HEIGHT,fullChunks=(height-partialChunkHeight)/FULL_CHUNK_HEIGHT,totalChunks=partialChunkHeight===0?fullChunks:fullChunks+
+1,chunkImgData=ctx.createImageData(width,FULL_CHUNK_HEIGHT);let srcPos=0;const src=imgData.data,dest=chunkImgData.data;for(let i=0;i<totalChunks;i++){const thisChunkHeight=i<fullChunks?FULL_CHUNK_HEIGHT:partialChunkHeight;({srcPos}=convertBlackAndWhiteToRGBA({src,srcPos,dest,width,height:thisChunkHeight,nonBlackColor:0})),ctx.putImageData(chunkImgData,0,i*FULL_CHUNK_HEIGHT)}}function copyCtxState(sourceCtx,destCtx){const properties2=["strokeStyle","fillStyle","fillRule","globalAlpha","lineWidth",
+"lineCap","lineJoin","miterLimit","globalCompositeOperation","font","filter"];for(const property of properties2)sourceCtx[property]!==void 0&&(destCtx[property]=sourceCtx[property]);sourceCtx.setLineDash!==void 0&&(destCtx.setLineDash(sourceCtx.getLineDash()),destCtx.lineDashOffset=sourceCtx.lineDashOffset)}function resetCtxToDefault(ctx){ctx.strokeStyle=ctx.fillStyle="#000000",ctx.fillRule="nonzero",ctx.globalAlpha=1,ctx.lineWidth=1,ctx.lineCap="butt",ctx.lineJoin="miter",ctx.miterLimit=10,ctx.
+globalCompositeOperation="source-over",ctx.font="10px sans-serif",ctx.setLineDash!==void 0&&(ctx.setLineDash([]),ctx.lineDashOffset=0);const{filter}=ctx;filter!=="none"&&filter!==""&&(ctx.filter="none")}function getImageSmoothingEnabled(transform2,interpolate){if(interpolate)return!0;Util.singularValueDecompose2dScale(transform2,XY);const actualScale=Math.fround(OutputScale.pixelRatio*PixelsPerInch.PDF_TO_CSS_UNITS);return XY[0]<=actualScale&&XY[1]<=actualScale}const LINE_CAP_STYLES=["butt","rou\
+nd","square"],LINE_JOIN_STYLES=["miter","round","bevel"],NORMAL_CLIP={},EO_CLIP={};class CanvasGraphics{constructor(canvasCtx,commonObjs,objs,canvasFactory,filterFactory,{optionalContentConfig,markedContentStack=null},annotationCanvasMap,pageColors){this.ctx=canvasCtx,this.current=new CanvasExtraState(this.ctx.canvas.width,this.ctx.canvas.height),this.stateStack=[],this.pendingClip=null,this.pendingEOFill=!1,this.res=null,this.xobjs=null,this.commonObjs=commonObjs,this.objs=objs,this.canvasFactory=
+canvasFactory,this.filterFactory=filterFactory,this.groupStack=[],this.baseTransform=null,this.baseTransformStack=[],this.groupLevel=0,this.smaskStack=[],this.smaskCounter=0,this.tempSMask=null,this.suspendedCtx=null,this.contentVisible=!0,this.markedContentStack=markedContentStack||[],this.optionalContentConfig=optionalContentConfig,this.cachedCanvases=new CachedCanvases(this.canvasFactory),this.cachedPatterns=new Map,this.annotationCanvasMap=annotationCanvasMap,this.viewportScale=1,this.outputScaleX=
+1,this.outputScaleY=1,this.pageColors=pageColors,this._cachedScaleForStroking=[-1,0],this._cachedGetSinglePixelWidth=null,this._cachedBitmapsMap=new Map}getObject(data,fallback2=null){return typeof data=="string"?data.startsWith("g_")?this.commonObjs.get(data):this.objs.get(data):fallback2}beginDrawing({transform:transform2,viewport,transparency=!1,background=null}){const width=this.ctx.canvas.width,height=this.ctx.canvas.height,savedFillStyle=this.ctx.fillStyle;if(this.ctx.fillStyle=background||
+"#ffffff",this.ctx.fillRect(0,0,width,height),this.ctx.fillStyle=savedFillStyle,transparency){const transparentCanvas=this.cachedCanvases.getCanvas("transparent",width,height);this.compositeCtx=this.ctx,this.transparentCanvas=transparentCanvas.canvas,this.ctx=transparentCanvas.context,this.ctx.save(),this.ctx.transform(...getCurrentTransform(this.compositeCtx))}this.ctx.save(),resetCtxToDefault(this.ctx),transform2&&(this.ctx.transform(...transform2),this.outputScaleX=transform2[0],this.outputScaleY=
+transform2[0]),this.ctx.transform(...viewport.transform),this.viewportScale=viewport.scale,this.baseTransform=getCurrentTransform(this.ctx)}executeOperatorList(operatorList,executionStartIdx,continueCallback,stepper){const argsArray=operatorList.argsArray,fnArray=operatorList.fnArray;let i=executionStartIdx||0;const argsArrayLen=argsArray.length;if(argsArrayLen===i)return i;const chunkOperations=argsArrayLen-i>EXECUTION_STEPS&&typeof continueCallback=="function",endTime=chunkOperations?Date.now()+
+EXECUTION_TIME:0;let steps=0;const commonObjs=this.commonObjs,objs=this.objs;let fnId;for(;;){if(stepper!==void 0&&i===stepper.nextBreakPoint)return stepper.breakIt(i,continueCallback),i;if(fnId=fnArray[i],fnId!==OPS.dependency)this[fnId].apply(this,argsArray[i]);else for(const depObjId of argsArray[i]){const objsPool=depObjId.startsWith("g_")?commonObjs:objs;if(!objsPool.has(depObjId))return objsPool.get(depObjId,continueCallback),i}if(i++,i===argsArrayLen)return i;if(chunkOperations&&++steps>EXECUTION_STEPS){
+if(Date.now()>endTime)return continueCallback(),i;steps=0}}}#restoreInitialState(){for(;this.stateStack.length||this.inSMaskMode;)this.restore();this.current.activeSMask=null,this.ctx.restore(),this.transparentCanvas&&(this.ctx=this.compositeCtx,this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.drawImage(this.transparentCanvas,0,0),this.ctx.restore(),this.transparentCanvas=null)}endDrawing(){this.#restoreInitialState(),this.cachedCanvases.clear(),this.cachedPatterns.clear();for(const cache2 of this.
+_cachedBitmapsMap.values()){for(const canvas of cache2.values())typeof HTMLCanvasElement<"u"&&canvas instanceof HTMLCanvasElement&&(canvas.width=canvas.height=0);cache2.clear()}this._cachedBitmapsMap.clear(),this.#drawFilter()}#drawFilter(){if(this.pageColors){const hcmFilterId=this.filterFactory.addHCMFilter(this.pageColors.foreground,this.pageColors.background);if(hcmFilterId!=="none"){const savedFilter=this.ctx.filter;this.ctx.filter=hcmFilterId,this.ctx.drawImage(this.ctx.canvas,0,0),this.ctx.
+filter=savedFilter}}}_scaleImage(img,inverseTransform){const width=img.width??img.displayWidth,height=img.height??img.displayHeight;let widthScale=Math.max(Math.hypot(inverseTransform[0],inverseTransform[1]),1),heightScale=Math.max(Math.hypot(inverseTransform[2],inverseTransform[3]),1),paintWidth=width,paintHeight=height,tmpCanvasId="prescale1",tmpCanvas,tmpCtx;for(;widthScale>2&&paintWidth>1||heightScale>2&&paintHeight>1;){let newWidth=paintWidth,newHeight=paintHeight;widthScale>2&&paintWidth>1&&
+(newWidth=paintWidth>=16384?Math.floor(paintWidth/2)-1||1:Math.ceil(paintWidth/2),widthScale/=paintWidth/newWidth),heightScale>2&&paintHeight>1&&(newHeight=paintHeight>=16384?Math.floor(paintHeight/2)-1||1:Math.ceil(paintHeight)/2,heightScale/=paintHeight/newHeight),tmpCanvas=this.cachedCanvases.getCanvas(tmpCanvasId,newWidth,newHeight),tmpCtx=tmpCanvas.context,tmpCtx.clearRect(0,0,newWidth,newHeight),tmpCtx.drawImage(img,0,0,paintWidth,paintHeight,0,0,newWidth,newHeight),img=tmpCanvas.canvas,paintWidth=
+newWidth,paintHeight=newHeight,tmpCanvasId=tmpCanvasId==="prescale1"?"prescale2":"prescale1"}return{img,paintWidth,paintHeight}}_createMaskCanvas(img){const ctx=this.ctx,{width,height}=img,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill,currentTransform=getCurrentTransform(ctx);let cache2,cacheKey,scaled,maskCanvas;if((img.bitmap||img.data)&&img.count>1){const mainKey=img.bitmap||img.data.buffer;cacheKey=JSON.stringify(isPatternFill?currentTransform:[currentTransform.slice(
+0,4),fillColor]),cache2=this._cachedBitmapsMap.get(mainKey),cache2||(cache2=new Map,this._cachedBitmapsMap.set(mainKey,cache2));const cachedImage=cache2.get(cacheKey);if(cachedImage&&!isPatternFill){const offsetX2=Math.round(Math.min(currentTransform[0],currentTransform[2])+currentTransform[4]),offsetY2=Math.round(Math.min(currentTransform[1],currentTransform[3])+currentTransform[5]);return{canvas:cachedImage,offsetX:offsetX2,offsetY:offsetY2}}scaled=cachedImage}scaled||(maskCanvas=this.cachedCanvases.
+getCanvas("maskCanvas",width,height),putBinaryImageMask(maskCanvas.context,img));let maskToCanvas=Util.transform(currentTransform,[1/width,0,0,-1/height,0,0]);maskToCanvas=Util.transform(maskToCanvas,[1,0,0,1,0,-height]);const minMax=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,width,height],maskToCanvas,minMax);const[minX,minY,maxX,maxY]=minMax,drawnWidth=Math.round(maxX-minX)||1,drawnHeight=Math.round(maxY-minY)||1,fillCanvas=this.cachedCanvases.getCanvas("fillCanvas",drawnWidth,drawnHeight),
+fillCtx=fillCanvas.context,offsetX=minX,offsetY=minY;fillCtx.translate(-offsetX,-offsetY),fillCtx.transform(...maskToCanvas),scaled||(scaled=this._scaleImage(maskCanvas.canvas,getCurrentTransformInverse(fillCtx)),scaled=scaled.img,cache2&&isPatternFill&&cache2.set(cacheKey,scaled)),fillCtx.imageSmoothingEnabled=getImageSmoothingEnabled(getCurrentTransform(fillCtx),img.interpolate),drawImageAtIntegerCoords(fillCtx,scaled,0,0,scaled.width,scaled.height,0,0,width,height),fillCtx.globalCompositeOperation=
+"source-in";const inverse=Util.transform(getCurrentTransformInverse(fillCtx),[1,0,0,1,-offsetX,-offsetY]);return fillCtx.fillStyle=isPatternFill?fillColor.getPattern(ctx,this,inverse,PathType.FILL):fillColor,fillCtx.fillRect(0,0,width,height),cache2&&!isPatternFill&&(this.cachedCanvases.delete("fillCanvas"),cache2.set(cacheKey,fillCanvas.canvas)),{canvas:fillCanvas.canvas,offsetX:Math.round(offsetX),offsetY:Math.round(offsetY)}}setLineWidth(width){width!==this.current.lineWidth&&(this._cachedScaleForStroking[0]=
+-1),this.current.lineWidth=width,this.ctx.lineWidth=width}setLineCap(style2){this.ctx.lineCap=LINE_CAP_STYLES[style2]}setLineJoin(style2){this.ctx.lineJoin=LINE_JOIN_STYLES[style2]}setMiterLimit(limit2){this.ctx.miterLimit=limit2}setDash(dashArray,dashPhase){const ctx=this.ctx;ctx.setLineDash!==void 0&&(ctx.setLineDash(dashArray),ctx.lineDashOffset=dashPhase)}setRenderingIntent(intent){}setFlatness(flatness){}setGState(states){for(const[key2,value]of states)switch(key2){case"LW":this.setLineWidth(
+value);break;case"LC":this.setLineCap(value);break;case"LJ":this.setLineJoin(value);break;case"ML":this.setMiterLimit(value);break;case"D":this.setDash(value[0],value[1]);break;case"RI":this.setRenderingIntent(value);break;case"FL":this.setFlatness(value);break;case"Font":this.setFont(value[0],value[1]);break;case"CA":this.current.strokeAlpha=value;break;case"ca":this.ctx.globalAlpha=this.current.fillAlpha=value;break;case"BM":this.ctx.globalCompositeOperation=value;break;case"SMask":this.current.
+activeSMask=value?this.tempSMask:null,this.tempSMask=null,this.checkSMaskState();break;case"TR":this.ctx.filter=this.current.transferMaps=this.filterFactory.addFilter(value);break}}get inSMaskMode(){return!!this.suspendedCtx}checkSMaskState(){const inSMaskMode=this.inSMaskMode;this.current.activeSMask&&!inSMaskMode?this.beginSMaskMode():!this.current.activeSMask&&inSMaskMode&&this.endSMaskMode()}beginSMaskMode(){if(this.inSMaskMode)throw new Error("beginSMaskMode called while already in smask mo\
+de");const drawnWidth=this.ctx.canvas.width,drawnHeight=this.ctx.canvas.height,cacheId="smaskGroupAt"+this.groupLevel,scratchCanvas=this.cachedCanvases.getCanvas(cacheId,drawnWidth,drawnHeight);this.suspendedCtx=this.ctx;const ctx=this.ctx=scratchCanvas.context;ctx.setTransform(this.suspendedCtx.getTransform()),copyCtxState(this.suspendedCtx,ctx),mirrorContextOperations(ctx,this.suspendedCtx),this.setGState([["BM","source-over"]])}endSMaskMode(){if(!this.inSMaskMode)throw new Error("endSMaskMode\
+ called while not in smask mode");this.ctx._removeMirroring(),copyCtxState(this.ctx,this.suspendedCtx),this.ctx=this.suspendedCtx,this.suspendedCtx=null}compose(dirtyBox){if(!this.current.activeSMask)return;dirtyBox?(dirtyBox[0]=Math.floor(dirtyBox[0]),dirtyBox[1]=Math.floor(dirtyBox[1]),dirtyBox[2]=Math.ceil(dirtyBox[2]),dirtyBox[3]=Math.ceil(dirtyBox[3])):dirtyBox=[0,0,this.ctx.canvas.width,this.ctx.canvas.height];const smask=this.current.activeSMask,suspendedCtx=this.suspendedCtx;this.composeSMask(
+suspendedCtx,smask,this.ctx,dirtyBox),this.ctx.save(),this.ctx.setTransform(1,0,0,1,0,0),this.ctx.clearRect(0,0,this.ctx.canvas.width,this.ctx.canvas.height),this.ctx.restore()}composeSMask(ctx,smask,layerCtx,layerBox){const layerOffsetX=layerBox[0],layerOffsetY=layerBox[1],layerWidth=layerBox[2]-layerOffsetX,layerHeight=layerBox[3]-layerOffsetY;layerWidth===0||layerHeight===0||(this.genericComposeSMask(smask.context,layerCtx,layerWidth,layerHeight,smask.subtype,smask.backdrop,smask.transferMap,
+layerOffsetX,layerOffsetY,smask.offsetX,smask.offsetY),ctx.save(),ctx.globalAlpha=1,ctx.globalCompositeOperation="source-over",ctx.setTransform(1,0,0,1,0,0),ctx.drawImage(layerCtx.canvas,0,0),ctx.restore())}genericComposeSMask(maskCtx,layerCtx,width,height,subtype,backdrop,transferMap,layerOffsetX,layerOffsetY,maskOffsetX,maskOffsetY){let maskCanvas=maskCtx.canvas,maskX=layerOffsetX-maskOffsetX,maskY=layerOffsetY-maskOffsetY;if(backdrop)if(maskX<0||maskY<0||maskX+width>maskCanvas.width||maskY+height>
+maskCanvas.height){const canvas=this.cachedCanvases.getCanvas("maskExtension",width,height),ctx=canvas.context;ctx.drawImage(maskCanvas,-maskX,-maskY),ctx.globalCompositeOperation="destination-atop",ctx.fillStyle=backdrop,ctx.fillRect(0,0,width,height),ctx.globalCompositeOperation="source-over",maskCanvas=canvas.canvas,maskX=maskY=0}else{maskCtx.save(),maskCtx.globalAlpha=1,maskCtx.setTransform(1,0,0,1,0,0);const clip2=new Path2D;clip2.rect(maskX,maskY,width,height),maskCtx.clip(clip2),maskCtx.globalCompositeOperation=
+"destination-atop",maskCtx.fillStyle=backdrop,maskCtx.fillRect(maskX,maskY,width,height),maskCtx.restore()}layerCtx.save(),layerCtx.globalAlpha=1,layerCtx.setTransform(1,0,0,1,0,0),subtype==="Alpha"&&transferMap?layerCtx.filter=this.filterFactory.addAlphaFilter(transferMap):subtype==="Luminosity"&&(layerCtx.filter=this.filterFactory.addLuminosityFilter(transferMap));const clip=new Path2D;clip.rect(layerOffsetX,layerOffsetY,width,height),layerCtx.clip(clip),layerCtx.globalCompositeOperation="dest\
+ination-in",layerCtx.drawImage(maskCanvas,maskX,maskY,width,height,layerOffsetX,layerOffsetY,width,height),layerCtx.restore()}save(){this.inSMaskMode&&copyCtxState(this.ctx,this.suspendedCtx),this.ctx.save();const old=this.current;this.stateStack.push(old),this.current=old.clone()}restore(){if(this.stateStack.length===0){this.inSMaskMode&&this.endSMaskMode();return}this.current=this.stateStack.pop(),this.ctx.restore(),this.inSMaskMode&&copyCtxState(this.suspendedCtx,this.ctx),this.checkSMaskState(),
+this.pendingClip=null,this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}transform(a,b,c2,d2,e,f){this.ctx.transform(a,b,c2,d2,e,f),this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null}constructPath(op2,data,minMax){let[path2]=data;if(!minMax){path2||=data[0]=new Path2D,this[op2](path2);return}if(!(path2 instanceof Path2D)){const path2d=data[0]=new Path2D;for(let i=0,ii=path2.length;i<ii;)switch(path2[i++]){case DrawOPS.moveTo:path2d.moveTo(path2[i++],path2[i++]);
+break;case DrawOPS.lineTo:path2d.lineTo(path2[i++],path2[i++]);break;case DrawOPS.curveTo:path2d.bezierCurveTo(path2[i++],path2[i++],path2[i++],path2[i++],path2[i++],path2[i++]);break;case DrawOPS.closePath:path2d.closePath();break;default:warn(`Unrecognized drawing path operator: ${path2[i-1]}`);break}path2=path2d}Util.axialAlignedBoundingBox(minMax,getCurrentTransform(this.ctx),this.current.minMax),this[op2](path2)}closePath(){this.ctx.closePath()}stroke(path2,consumePath=!0){const ctx=this.ctx,
+strokeColor=this.current.strokeColor;if(ctx.globalAlpha=this.current.strokeAlpha,this.contentVisible)if(typeof strokeColor=="object"&&strokeColor?.getPattern){const baseTransform=strokeColor.isModifyingCurrentTransform()?ctx.getTransform():null;if(ctx.save(),ctx.strokeStyle=strokeColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.STROKE),baseTransform){const newPath=new Path2D;newPath.addPath(path2,ctx.getTransform().invertSelf().multiplySelf(baseTransform)),path2=newPath}this.rescaleAndStroke(
+path2,!1),ctx.restore()}else this.rescaleAndStroke(path2,!0);consumePath&&this.consumePath(path2,this.current.getClippedPathBoundingBox(PathType.STROKE,getCurrentTransform(this.ctx))),ctx.globalAlpha=this.current.fillAlpha}closeStroke(path2){this.stroke(path2)}fill(path2,consumePath=!0){const ctx=this.ctx,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill;let needRestore=!1;if(isPatternFill){const baseTransform=fillColor.isModifyingCurrentTransform()?ctx.getTransform():null;
+if(ctx.save(),ctx.fillStyle=fillColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.FILL),baseTransform){const newPath=new Path2D;newPath.addPath(path2,ctx.getTransform().invertSelf().multiplySelf(baseTransform)),path2=newPath}needRestore=!0}const intersect=this.current.getClippedPathBoundingBox();this.contentVisible&&intersect!==null&&(this.pendingEOFill?(ctx.fill(path2,"evenodd"),this.pendingEOFill=!1):ctx.fill(path2)),needRestore&&ctx.restore(),consumePath&&this.consumePath(path2,
+intersect)}eoFill(path2){this.pendingEOFill=!0,this.fill(path2)}fillStroke(path2){this.fill(path2,!1),this.stroke(path2,!1),this.consumePath(path2)}eoFillStroke(path2){this.pendingEOFill=!0,this.fillStroke(path2)}closeFillStroke(path2){this.fillStroke(path2)}closeEOFillStroke(path2){this.pendingEOFill=!0,this.fillStroke(path2)}endPath(path2){this.consumePath(path2)}rawFillPath(path2){this.ctx.fill(path2)}clip(){this.pendingClip=NORMAL_CLIP}eoClip(){this.pendingClip=EO_CLIP}beginText(){this.current.
+textMatrix=null,this.current.textMatrixScale=1,this.current.x=this.current.lineX=0,this.current.y=this.current.lineY=0}endText(){const paths=this.pendingTextPaths,ctx=this.ctx;if(paths===void 0)return;const newPath=new Path2D,invTransf=ctx.getTransform().invertSelf();for(const{transform:transform2,x,y,fontSize,path:path2}of paths)path2&&newPath.addPath(path2,new DOMMatrix(transform2).preMultiplySelf(invTransf).translate(x,y).scale(fontSize,-fontSize));ctx.clip(newPath),delete this.pendingTextPaths}setCharSpacing(spacing2){
+this.current.charSpacing=spacing2}setWordSpacing(spacing2){this.current.wordSpacing=spacing2}setHScale(scale2){this.current.textHScale=scale2/100}setLeading(leading){this.current.leading=-leading}setFont(fontRefName,size2){const fontObj=this.commonObjs.get(fontRefName),current2=this.current;if(!fontObj)throw new Error(`Can't find font for ${fontRefName}`);if(current2.fontMatrix=fontObj.fontMatrix||FONT_IDENTITY_MATRIX,(current2.fontMatrix[0]===0||current2.fontMatrix[3]===0)&&warn("Invalid font m\
+atrix for font "+fontRefName),size2<0?(size2=-size2,current2.fontDirection=-1):current2.fontDirection=1,this.current.font=fontObj,this.current.fontSize=size2,fontObj.isType3Font)return;const name=fontObj.loadedName||"sans-serif",typeface=fontObj.systemFontInfo?.css||`"${name}", ${fontObj.fallbackName}`;let bold="normal";fontObj.black?bold="900":fontObj.bold&&(bold="bold");const italic=fontObj.italic?"italic":"normal";let browserFontSize=size2;size2<MIN_FONT_SIZE?browserFontSize=MIN_FONT_SIZE:size2>
+MAX_FONT_SIZE&&(browserFontSize=MAX_FONT_SIZE),this.current.fontSizeScale=size2/browserFontSize,this.ctx.font=`${italic} ${bold} ${browserFontSize}px ${typeface}`}setTextRenderingMode(mode){this.current.textRenderingMode=mode}setTextRise(rise){this.current.textRise=rise}moveText(x,y){this.current.x=this.current.lineX+=x,this.current.y=this.current.lineY+=y}setLeadingMoveText(x,y){this.setLeading(-y),this.moveText(x,y)}setTextMatrix(matrix){const{current:current2}=this;current2.textMatrix=matrix,
+current2.textMatrixScale=Math.hypot(matrix[0],matrix[1]),current2.x=current2.lineX=0,current2.y=current2.lineY=0}nextLine(){this.moveText(0,this.current.leading)}#getScaledPath(path2,currentTransform,transform2){const newPath=new Path2D;return newPath.addPath(path2,new DOMMatrix(transform2).invertSelf().multiplySelf(currentTransform)),newPath}paintChar(character,x,y,patternFillTransform,patternStrokeTransform){const ctx=this.ctx,current2=this.current,font=current2.font,textRenderingMode=current2.
+textRenderingMode,fontSize=current2.fontSize/current2.fontSizeScale,fillStrokeMode=textRenderingMode&TextRenderingMode.FILL_STROKE_MASK,isAddToPathSet=!!(textRenderingMode&TextRenderingMode.ADD_TO_PATH_FLAG),patternFill=current2.patternFill&&!font.missingFile,patternStroke=current2.patternStroke&&!font.missingFile;let path2;if((font.disableFontFace||isAddToPathSet||patternFill||patternStroke)&&!font.missingFile&&(path2=font.getPathGenerator(this.commonObjs,character)),path2&&(font.disableFontFace||
+patternFill||patternStroke)){ctx.save(),ctx.translate(x,y),ctx.scale(fontSize,-fontSize);let currentTransform;if((fillStrokeMode===TextRenderingMode.FILL||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&(patternFillTransform?(currentTransform=ctx.getTransform(),ctx.setTransform(...patternFillTransform),ctx.fill(this.#getScaledPath(path2,currentTransform,patternFillTransform))):ctx.fill(path2)),fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)if(patternStrokeTransform){
+currentTransform||=ctx.getTransform(),ctx.setTransform(...patternStrokeTransform);const{a,b,c:c2,d:d2}=currentTransform,invPatternTransform=Util.inverseTransform(patternStrokeTransform),transf=Util.transform([a,b,c2,d2,0,0],invPatternTransform);Util.singularValueDecompose2dScale(transf,XY),ctx.lineWidth*=Math.max(XY[0],XY[1])/fontSize,ctx.stroke(this.#getScaledPath(path2,currentTransform,patternStrokeTransform))}else ctx.lineWidth/=fontSize,ctx.stroke(path2);ctx.restore()}else(fillStrokeMode===TextRenderingMode.
+FILL||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&ctx.fillText(character,x,y),(fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&ctx.strokeText(character,x,y);isAddToPathSet&&(this.pendingTextPaths||=[]).push({transform:getCurrentTransform(ctx),x,y,fontSize,path:path2})}get isFontSubpixelAAEnabled(){const{context:ctx}=this.cachedCanvases.getCanvas("isFontSubpixelAAEnabled",10,10);ctx.scale(1.5,1),ctx.fillText("I",0,10);const data=ctx.getImageData(0,
+0,10,10).data;let enabled=!1;for(let i=3;i<data.length;i+=4)if(data[i]>0&&data[i]<255){enabled=!0;break}return shadow(this,"isFontSubpixelAAEnabled",enabled)}showText(glyphs){const current2=this.current,font=current2.font;if(font.isType3Font)return this.showType3Text(glyphs);const fontSize=current2.fontSize;if(fontSize===0)return;const ctx=this.ctx,fontSizeScale=current2.fontSizeScale,charSpacing=current2.charSpacing,wordSpacing=current2.wordSpacing,fontDirection=current2.fontDirection,textHScale=current2.
+textHScale*fontDirection,glyphsLength=glyphs.length,vertical=font.vertical,spacingDir=vertical?1:-1,defaultVMetrics=font.defaultVMetrics,widthAdvanceScale=fontSize*current2.fontMatrix[0],simpleFillText=current2.textRenderingMode===TextRenderingMode.FILL&&!font.disableFontFace&&!current2.patternFill;ctx.save(),current2.textMatrix&&ctx.transform(...current2.textMatrix),ctx.translate(current2.x,current2.y+current2.textRise),fontDirection>0?ctx.scale(textHScale,-1):ctx.scale(textHScale,1);let patternFillTransform,
+patternStrokeTransform;if(current2.patternFill){ctx.save();const pattern2=current2.fillColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.FILL);patternFillTransform=getCurrentTransform(ctx),ctx.restore(),ctx.fillStyle=pattern2}if(current2.patternStroke){ctx.save();const pattern2=current2.strokeColor.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.STROKE);patternStrokeTransform=getCurrentTransform(ctx),ctx.restore(),ctx.strokeStyle=pattern2}let lineWidth=current2.lineWidth;
+const scale2=current2.textMatrixScale;if(scale2===0||lineWidth===0){const fillStrokeMode=current2.textRenderingMode&TextRenderingMode.FILL_STROKE_MASK;(fillStrokeMode===TextRenderingMode.STROKE||fillStrokeMode===TextRenderingMode.FILL_STROKE)&&(lineWidth=this.getSinglePixelWidth())}else lineWidth/=scale2;if(fontSizeScale!==1&&(ctx.scale(fontSizeScale,fontSizeScale),lineWidth/=fontSizeScale),ctx.lineWidth=lineWidth,font.isInvalidPDFjsFont){const chars=[];let width=0;for(const glyph of glyphs)chars.
+push(glyph.unicode),width+=glyph.width;ctx.fillText(chars.join(""),0,0),current2.x+=width*widthAdvanceScale*textHScale,ctx.restore(),this.compose();return}let x=0,i;for(i=0;i<glyphsLength;++i){const glyph=glyphs[i];if(typeof glyph=="number"){x+=spacingDir*glyph*fontSize/1e3;continue}let restoreNeeded=!1;const spacing2=(glyph.isSpace?wordSpacing:0)+charSpacing,character=glyph.fontChar,accent2=glyph.accent;let scaledX,scaledY,width=glyph.width;if(vertical){const vmetric=glyph.vmetric||defaultVMetrics,
+vx=-(glyph.vmetric?vmetric[1]:width*.5)*widthAdvanceScale,vy=vmetric[2]*widthAdvanceScale;width=vmetric?-vmetric[0]:width,scaledX=vx/fontSizeScale,scaledY=(x+vy)/fontSizeScale}else scaledX=x/fontSizeScale,scaledY=0;if(font.remeasure&&width>0){const measuredWidth=ctx.measureText(character).width*1e3/fontSize*fontSizeScale;if(width<measuredWidth&&this.isFontSubpixelAAEnabled){const characterScaleX=width/measuredWidth;restoreNeeded=!0,ctx.save(),ctx.scale(characterScaleX,1),scaledX/=characterScaleX}else
+width!==measuredWidth&&(scaledX+=(width-measuredWidth)/2e3*fontSize/fontSizeScale)}if(this.contentVisible&&(glyph.isInFont||font.missingFile)){if(simpleFillText&&!accent2)ctx.fillText(character,scaledX,scaledY);else if(this.paintChar(character,scaledX,scaledY,patternFillTransform,patternStrokeTransform),accent2){const scaledAccentX=scaledX+fontSize*accent2.offset.x/fontSizeScale,scaledAccentY=scaledY-fontSize*accent2.offset.y/fontSizeScale;this.paintChar(accent2.fontChar,scaledAccentX,scaledAccentY,
+patternFillTransform,patternStrokeTransform)}}const charWidth=vertical?width*widthAdvanceScale-spacing2*fontDirection:width*widthAdvanceScale+spacing2*fontDirection;x+=charWidth,restoreNeeded&&ctx.restore()}vertical?current2.y-=x:current2.x+=x*textHScale,ctx.restore(),this.compose()}showType3Text(glyphs){const ctx=this.ctx,current2=this.current,font=current2.font,fontSize=current2.fontSize,fontDirection=current2.fontDirection,spacingDir=font.vertical?1:-1,charSpacing=current2.charSpacing,wordSpacing=current2.
+wordSpacing,textHScale=current2.textHScale*fontDirection,fontMatrix=current2.fontMatrix||FONT_IDENTITY_MATRIX,glyphsLength=glyphs.length,isTextInvisible=current2.textRenderingMode===TextRenderingMode.INVISIBLE;let i,glyph,width,spacingLength;if(!(isTextInvisible||fontSize===0)){for(this._cachedScaleForStroking[0]=-1,this._cachedGetSinglePixelWidth=null,ctx.save(),current2.textMatrix&&ctx.transform(...current2.textMatrix),ctx.translate(current2.x,current2.y+current2.textRise),ctx.scale(textHScale,
+fontDirection),i=0;i<glyphsLength;++i){if(glyph=glyphs[i],typeof glyph=="number"){spacingLength=spacingDir*glyph*fontSize/1e3,this.ctx.translate(spacingLength,0),current2.x+=spacingLength*textHScale;continue}const spacing2=(glyph.isSpace?wordSpacing:0)+charSpacing,operatorList=font.charProcOperatorList[glyph.operatorListId];operatorList?this.contentVisible&&(this.save(),ctx.scale(fontSize,fontSize),ctx.transform(...fontMatrix),this.executeOperatorList(operatorList),this.restore()):warn(`Type3 ch\
+aracter "${glyph.operatorListId}" is not available.`);const p2=[glyph.width,0];Util.applyTransform(p2,fontMatrix),width=p2[0]*fontSize+spacing2,ctx.translate(width,0),current2.x+=width*textHScale}ctx.restore()}}setCharWidth(xWidth,yWidth){}setCharWidthAndBounds(xWidth,yWidth,llx,lly,urx,ury){const clip=new Path2D;clip.rect(llx,lly,urx-llx,ury-lly),this.ctx.clip(clip),this.endPath()}getColorN_Pattern(IR){let pattern2;if(IR[0]==="TilingPattern"){const baseTransform=this.baseTransform||getCurrentTransform(
+this.ctx),canvasGraphicsFactory={createCanvasGraphics:ctx=>new CanvasGraphics(ctx,this.commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig:this.optionalContentConfig,markedContentStack:this.markedContentStack})};pattern2=new TilingPattern(IR,this.ctx,canvasGraphicsFactory,baseTransform)}else pattern2=this._getPattern(IR[1],IR[2]);return pattern2}setStrokeColorN(){this.current.strokeColor=this.getColorN_Pattern(arguments),this.current.patternStroke=!0}setFillColorN(){
+this.current.fillColor=this.getColorN_Pattern(arguments),this.current.patternFill=!0}setStrokeRGBColor(color){this.ctx.strokeStyle=this.current.strokeColor=color,this.current.patternStroke=!1}setStrokeTransparent(){this.ctx.strokeStyle=this.current.strokeColor="transparent",this.current.patternStroke=!1}setFillRGBColor(color){this.ctx.fillStyle=this.current.fillColor=color,this.current.patternFill=!1}setFillTransparent(){this.ctx.fillStyle=this.current.fillColor="transparent",this.current.patternFill=
+!1}_getPattern(objId,matrix=null){let pattern2;return this.cachedPatterns.has(objId)?pattern2=this.cachedPatterns.get(objId):(pattern2=getShadingPattern(this.getObject(objId)),this.cachedPatterns.set(objId,pattern2)),matrix&&(pattern2.matrix=matrix),pattern2}shadingFill(objId){if(!this.contentVisible)return;const ctx=this.ctx;this.save();const pattern2=this._getPattern(objId);ctx.fillStyle=pattern2.getPattern(ctx,this,getCurrentTransformInverse(ctx),PathType.SHADING);const inv=getCurrentTransformInverse(
+ctx);if(inv){const{width,height}=ctx.canvas,minMax=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,width,height],inv,minMax);const[x0,y0,x1,y1]=minMax;this.ctx.fillRect(x0,y0,x1-x0,y1-y0)}else this.ctx.fillRect(-1e10,-1e10,2e10,2e10);this.compose(this.current.getClippedPathBoundingBox()),this.restore()}beginInlineImage(){unreachable("Should not call beginInlineImage")}beginImageData(){unreachable("Should not call beginImageData")}paintFormXObjectBegin(matrix,bbox){if(this.contentVisible&&
+(this.save(),this.baseTransformStack.push(this.baseTransform),matrix&&this.transform(...matrix),this.baseTransform=getCurrentTransform(this.ctx),bbox)){Util.axialAlignedBoundingBox(bbox,this.baseTransform,this.current.minMax);const[x0,y0,x1,y1]=bbox,clip=new Path2D;clip.rect(x0,y0,x1-x0,y1-y0),this.ctx.clip(clip),this.endPath()}}paintFormXObjectEnd(){this.contentVisible&&(this.restore(),this.baseTransform=this.baseTransformStack.pop())}beginGroup(group){if(!this.contentVisible)return;this.save(),
+this.inSMaskMode&&(this.endSMaskMode(),this.current.activeSMask=null);const currentCtx=this.ctx;group.isolated||info("TODO: Support non-isolated groups."),group.knockout&&warn("Knockout groups not supported.");const currentTransform=getCurrentTransform(currentCtx);if(group.matrix&&currentCtx.transform(...group.matrix),!group.bbox)throw new Error("Bounding box is required.");let bounds=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox(group.bbox,getCurrentTransform(currentCtx),bounds);const canvasBounds=[
+0,0,currentCtx.canvas.width,currentCtx.canvas.height];bounds=Util.intersect(bounds,canvasBounds)||[0,0,0,0];const offsetX=Math.floor(bounds[0]),offsetY=Math.floor(bounds[1]),drawnWidth=Math.max(Math.ceil(bounds[2])-offsetX,1),drawnHeight=Math.max(Math.ceil(bounds[3])-offsetY,1);this.current.startNewPathAndClipBox([0,0,drawnWidth,drawnHeight]);let cacheId="groupAt"+this.groupLevel;group.smask&&(cacheId+="_smask_"+this.smaskCounter++%2);const scratchCanvas=this.cachedCanvases.getCanvas(cacheId,drawnWidth,
+drawnHeight),groupCtx=scratchCanvas.context;groupCtx.translate(-offsetX,-offsetY),groupCtx.transform(...currentTransform);let clip=new Path2D;const[x0,y0,x1,y1]=group.bbox;if(clip.rect(x0,y0,x1-x0,y1-y0),group.matrix){const path2=new Path2D;path2.addPath(clip,new DOMMatrix(group.matrix)),clip=path2}groupCtx.clip(clip),group.smask?this.smaskStack.push({canvas:scratchCanvas.canvas,context:groupCtx,offsetX,offsetY,subtype:group.smask.subtype,backdrop:group.smask.backdrop,transferMap:group.smask.transferMap||
+null,startTransformInverse:null}):(currentCtx.setTransform(1,0,0,1,0,0),currentCtx.translate(offsetX,offsetY),currentCtx.save()),copyCtxState(currentCtx,groupCtx),this.ctx=groupCtx,this.setGState([["BM","source-over"],["ca",1],["CA",1]]),this.groupStack.push(currentCtx),this.groupLevel++}endGroup(group){if(!this.contentVisible)return;this.groupLevel--;const groupCtx=this.ctx,ctx=this.groupStack.pop();if(this.ctx=ctx,this.ctx.imageSmoothingEnabled=!1,group.smask)this.tempSMask=this.smaskStack.pop(),
+this.restore();else{this.ctx.restore();const currentMtx=getCurrentTransform(this.ctx);this.restore(),this.ctx.save(),this.ctx.setTransform(...currentMtx);const dirtyBox=MIN_MAX_INIT.slice();Util.axialAlignedBoundingBox([0,0,groupCtx.canvas.width,groupCtx.canvas.height],currentMtx,dirtyBox),this.ctx.drawImage(groupCtx.canvas,0,0),this.ctx.restore(),this.compose(dirtyBox)}}beginAnnotation(id2,rect,transform2,matrix,hasOwnCanvas){if(this.#restoreInitialState(),resetCtxToDefault(this.ctx),this.ctx.save(),
+this.save(),this.baseTransform&&this.ctx.setTransform(...this.baseTransform),rect){const width=rect[2]-rect[0],height=rect[3]-rect[1];if(hasOwnCanvas&&this.annotationCanvasMap){transform2=transform2.slice(),transform2[4]-=rect[0],transform2[5]-=rect[1],rect=rect.slice(),rect[0]=rect[1]=0,rect[2]=width,rect[3]=height,Util.singularValueDecompose2dScale(getCurrentTransform(this.ctx),XY);const{viewportScale}=this,canvasWidth=Math.ceil(width*this.outputScaleX*viewportScale),canvasHeight=Math.ceil(height*
+this.outputScaleY*viewportScale);this.annotationCanvas=this.canvasFactory.create(canvasWidth,canvasHeight);const{canvas,context}=this.annotationCanvas;this.annotationCanvasMap.set(id2,canvas),this.annotationCanvas.savedCtx=this.ctx,this.ctx=context,this.ctx.save(),this.ctx.setTransform(XY[0],0,0,-XY[1],0,height*XY[1]),resetCtxToDefault(this.ctx)}else{resetCtxToDefault(this.ctx),this.endPath();const clip=new Path2D;clip.rect(rect[0],rect[1],width,height),this.ctx.clip(clip)}}this.current=new CanvasExtraState(
+this.ctx.canvas.width,this.ctx.canvas.height),this.transform(...transform2),this.transform(...matrix)}endAnnotation(){this.annotationCanvas&&(this.ctx.restore(),this.#drawFilter(),this.ctx=this.annotationCanvas.savedCtx,delete this.annotationCanvas.savedCtx,delete this.annotationCanvas)}paintImageMaskXObject(img){if(!this.contentVisible)return;const count=img.count;img=this.getObject(img.data,img),img.count=count;const ctx=this.ctx,mask=this._createMaskCanvas(img),maskCanvas=mask.canvas;ctx.save(),
+ctx.setTransform(1,0,0,1,0,0),ctx.drawImage(maskCanvas,mask.offsetX,mask.offsetY),ctx.restore(),this.compose()}paintImageMaskXObjectRepeat(img,scaleX,skewX=0,skewY=0,scaleY,positions){if(!this.contentVisible)return;img=this.getObject(img.data,img);const ctx=this.ctx;ctx.save();const currentTransform=getCurrentTransform(ctx);ctx.transform(scaleX,skewX,skewY,scaleY,0,0);const mask=this._createMaskCanvas(img);ctx.setTransform(1,0,0,1,mask.offsetX-currentTransform[4],mask.offsetY-currentTransform[5]);
+for(let i=0,ii=positions.length;i<ii;i+=2){const trans=Util.transform(currentTransform,[scaleX,skewX,skewY,scaleY,positions[i],positions[i+1]]);ctx.drawImage(mask.canvas,trans[4],trans[5])}ctx.restore(),this.compose()}paintImageMaskXObjectGroup(images){if(!this.contentVisible)return;const ctx=this.ctx,fillColor=this.current.fillColor,isPatternFill=this.current.patternFill;for(const image2 of images){const{data,width,height,transform:transform2}=image2,maskCanvas=this.cachedCanvases.getCanvas("ma\
+skCanvas",width,height),maskCtx=maskCanvas.context;maskCtx.save();const img=this.getObject(data,image2);putBinaryImageMask(maskCtx,img),maskCtx.globalCompositeOperation="source-in",maskCtx.fillStyle=isPatternFill?fillColor.getPattern(maskCtx,this,getCurrentTransformInverse(ctx),PathType.FILL):fillColor,maskCtx.fillRect(0,0,width,height),maskCtx.restore(),ctx.save(),ctx.transform(...transform2),ctx.scale(1,-1),drawImageAtIntegerCoords(ctx,maskCanvas.canvas,0,0,width,height,0,-1,1,1),ctx.restore()}
+this.compose()}paintImageXObject(objId){if(!this.contentVisible)return;const imgData=this.getObject(objId);if(!imgData){warn("Dependent image isn't ready yet");return}this.paintInlineImageXObject(imgData)}paintImageXObjectRepeat(objId,scaleX,scaleY,positions){if(!this.contentVisible)return;const imgData=this.getObject(objId);if(!imgData){warn("Dependent image isn't ready yet");return}const width=imgData.width,height=imgData.height,map2=[];for(let i=0,ii=positions.length;i<ii;i+=2)map2.push({transform:[
+scaleX,0,0,scaleY,positions[i],positions[i+1]],x:0,y:0,w:width,h:height});this.paintInlineImageXObjectGroup(imgData,map2)}applyTransferMapsToCanvas(ctx){return this.current.transferMaps!=="none"&&(ctx.filter=this.current.transferMaps,ctx.drawImage(ctx.canvas,0,0),ctx.filter="none"),ctx.canvas}applyTransferMapsToBitmap(imgData){if(this.current.transferMaps==="none")return imgData.bitmap;const{bitmap,width,height}=imgData,tmpCanvas=this.cachedCanvases.getCanvas("inlineImage",width,height),tmpCtx=tmpCanvas.
+context;return tmpCtx.filter=this.current.transferMaps,tmpCtx.drawImage(bitmap,0,0),tmpCtx.filter="none",tmpCanvas.canvas}paintInlineImageXObject(imgData){if(!this.contentVisible)return;const width=imgData.width,height=imgData.height,ctx=this.ctx;this.save();const{filter}=ctx;filter!=="none"&&filter!==""&&(ctx.filter="none"),ctx.scale(1/width,-1/height);let imgToPaint;if(imgData.bitmap)imgToPaint=this.applyTransferMapsToBitmap(imgData);else if(typeof HTMLElement=="function"&&imgData instanceof HTMLElement||
+!imgData.data)imgToPaint=imgData;else{const tmpCtx=this.cachedCanvases.getCanvas("inlineImage",width,height).context;putBinaryImageData(tmpCtx,imgData),imgToPaint=this.applyTransferMapsToCanvas(tmpCtx)}const scaled=this._scaleImage(imgToPaint,getCurrentTransformInverse(ctx));ctx.imageSmoothingEnabled=getImageSmoothingEnabled(getCurrentTransform(ctx),imgData.interpolate),drawImageAtIntegerCoords(ctx,scaled.img,0,0,scaled.paintWidth,scaled.paintHeight,0,-height,width,height),this.compose(),this.restore()}paintInlineImageXObjectGroup(imgData,map2){
+if(!this.contentVisible)return;const ctx=this.ctx;let imgToPaint;if(imgData.bitmap)imgToPaint=imgData.bitmap;else{const w=imgData.width,h2=imgData.height,tmpCtx=this.cachedCanvases.getCanvas("inlineImage",w,h2).context;putBinaryImageData(tmpCtx,imgData),imgToPaint=this.applyTransferMapsToCanvas(tmpCtx)}for(const entry of map2)ctx.save(),ctx.transform(...entry.transform),ctx.scale(1,-1),drawImageAtIntegerCoords(ctx,imgToPaint,entry.x,entry.y,entry.w,entry.h,0,-1,1,1),ctx.restore();this.compose()}paintSolidColorImageMask(){
+this.contentVisible&&(this.ctx.fillRect(0,0,1,1),this.compose())}markPoint(tag){}markPointProps(tag,properties2){}beginMarkedContent(tag){this.markedContentStack.push({visible:!0})}beginMarkedContentProps(tag,properties2){tag==="OC"?this.markedContentStack.push({visible:this.optionalContentConfig.isVisible(properties2)}):this.markedContentStack.push({visible:!0}),this.contentVisible=this.isContentVisible()}endMarkedContent(){this.markedContentStack.pop(),this.contentVisible=this.isContentVisible()}beginCompat(){}endCompat(){}consumePath(path2,clipBox){
+const isEmpty=this.current.isEmptyClip();this.pendingClip&&this.current.updateClipFromPath(),this.pendingClip||this.compose(clipBox);const ctx=this.ctx;this.pendingClip&&(isEmpty||(this.pendingClip===EO_CLIP?ctx.clip(path2,"evenodd"):ctx.clip(path2)),this.pendingClip=null),this.current.startNewPathAndClipBox(this.current.clipBox)}getSinglePixelWidth(){if(!this._cachedGetSinglePixelWidth){const m=getCurrentTransform(this.ctx);if(m[1]===0&&m[2]===0)this._cachedGetSinglePixelWidth=1/Math.min(Math.abs(
+m[0]),Math.abs(m[3]));else{const absDet=Math.abs(m[0]*m[3]-m[2]*m[1]),normX=Math.hypot(m[0],m[2]),normY=Math.hypot(m[1],m[3]);this._cachedGetSinglePixelWidth=Math.max(normX,normY)/absDet}}return this._cachedGetSinglePixelWidth}getScaleForStroking(){if(this._cachedScaleForStroking[0]===-1){const{lineWidth}=this.current,{a,b,c:c2,d:d2}=this.ctx.getTransform();let scaleX,scaleY;if(b===0&&c2===0){const normX=Math.abs(a),normY=Math.abs(d2);if(normX===normY)if(lineWidth===0)scaleX=scaleY=1/normX;else{
+const scaledLineWidth=normX*lineWidth;scaleX=scaleY=scaledLineWidth<1?1/scaledLineWidth:1}else if(lineWidth===0)scaleX=1/normX,scaleY=1/normY;else{const scaledXLineWidth=normX*lineWidth,scaledYLineWidth=normY*lineWidth;scaleX=scaledXLineWidth<1?1/scaledXLineWidth:1,scaleY=scaledYLineWidth<1?1/scaledYLineWidth:1}}else{const absDet=Math.abs(a*d2-b*c2),normX=Math.hypot(a,b),normY=Math.hypot(c2,d2);if(lineWidth===0)scaleX=normY/absDet,scaleY=normX/absDet;else{const baseArea=lineWidth*absDet;scaleX=normY>
+baseArea?normY/baseArea:1,scaleY=normX>baseArea?normX/baseArea:1}}this._cachedScaleForStroking[0]=scaleX,this._cachedScaleForStroking[1]=scaleY}return this._cachedScaleForStroking}rescaleAndStroke(path2,saveRestore){const{ctx,current:{lineWidth}}=this,[scaleX,scaleY]=this.getScaleForStroking();if(scaleX===scaleY){ctx.lineWidth=(lineWidth||1)*scaleX,ctx.stroke(path2);return}const dashes=ctx.getLineDash();saveRestore&&ctx.save(),ctx.scale(scaleX,scaleY),SCALE_MATRIX.a=1/scaleX,SCALE_MATRIX.d=1/scaleY;
+const newPath=new Path2D;if(newPath.addPath(path2,SCALE_MATRIX),dashes.length>0){const scale2=Math.max(scaleX,scaleY);ctx.setLineDash(dashes.map(x=>x/scale2)),ctx.lineDashOffset/=scale2}ctx.lineWidth=lineWidth||1,ctx.stroke(newPath),saveRestore&&ctx.restore()}isContentVisible(){for(let i=this.markedContentStack.length-1;i>=0;i--)if(!this.markedContentStack[i].visible)return!1;return!0}}for(const op2 in OPS)CanvasGraphics.prototype[op2]!==void 0&&(CanvasGraphics.prototype[OPS[op2]]=CanvasGraphics.
+prototype[op2]);class GlobalWorkerOptions{static#port=null;static#src="";static get workerPort(){return this.#port}static set workerPort(val){if(!(typeof Worker<"u"&&val instanceof Worker)&&val!==null)throw new Error("Invalid `workerPort` type.");this.#port=val}static get workerSrc(){return this.#src}static set workerSrc(val){if(typeof val!="string")throw new Error("Invalid `workerSrc` type.");this.#src=val}}class Metadata{#map;#data;constructor({parsedData,rawData}){this.#map=parsedData,this.#data=
+rawData}getRaw(){return this.#data}get(name){return this.#map.get(name)??null}[Symbol.iterator](){return this.#map.entries()}}const INTERNAL=Symbol("INTERNAL");class OptionalContentGroup{#isDisplay=!1;#isPrint=!1;#userSet=!1;#visible=!0;constructor(renderingIntent,{name,intent,usage,rbGroups}){this.#isDisplay=!!(renderingIntent&RenderingIntentFlag.DISPLAY),this.#isPrint=!!(renderingIntent&RenderingIntentFlag.PRINT),this.name=name,this.intent=intent,this.usage=usage,this.rbGroups=rbGroups}get visible(){
+if(this.#userSet)return this.#visible;if(!this.#visible)return!1;const{print,view}=this.usage;return this.#isDisplay?view?.viewState!=="OFF":this.#isPrint?print?.printState!=="OFF":!0}_setVisible(internal,visible,userSet=!1){internal!==INTERNAL&&unreachable("Internal method `_setVisible` called."),this.#userSet=userSet,this.#visible=visible}}class OptionalContentConfig{#cachedGetHash=null;#groups=new Map;#initialHash=null;#order=null;constructor(data,renderingIntent=RenderingIntentFlag.DISPLAY){
+if(this.renderingIntent=renderingIntent,this.name=null,this.creator=null,data!==null){this.name=data.name,this.creator=data.creator,this.#order=data.order;for(const group of data.groups)this.#groups.set(group.id,new OptionalContentGroup(renderingIntent,group));if(data.baseState==="OFF")for(const group of this.#groups.values())group._setVisible(INTERNAL,!1);for(const on2 of data.on)this.#groups.get(on2)._setVisible(INTERNAL,!0);for(const off of data.off)this.#groups.get(off)._setVisible(INTERNAL,
+!1);this.#initialHash=this.getHash()}}#evaluateVisibilityExpression(array2){const length=array2.length;if(length<2)return!0;const operator2=array2[0];for(let i=1;i<length;i++){const element2=array2[i];let state2;if(Array.isArray(element2))state2=this.#evaluateVisibilityExpression(element2);else if(this.#groups.has(element2))state2=this.#groups.get(element2).visible;else return warn(`Optional content group not found: ${element2}`),!0;switch(operator2){case"And":if(!state2)return!1;break;case"Or":
+if(state2)return!0;break;case"Not":return!state2;default:return!0}}return operator2==="And"}isVisible(group){if(this.#groups.size===0)return!0;if(!group)return info("Optional content group not defined."),!0;if(group.type==="OCG")return this.#groups.has(group.id)?this.#groups.get(group.id).visible:(warn(`Optional content group not found: ${group.id}`),!0);if(group.type==="OCMD"){if(group.expression)return this.#evaluateVisibilityExpression(group.expression);if(!group.policy||group.policy==="AnyOn"){
+for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(this.#groups.get(id2).visible)return!0}return!1}else if(group.policy==="AllOn"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(!this.#groups.get(id2).visible)return!1}return!0}else if(group.policy==="AnyOff"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),
+!0;if(!this.#groups.get(id2).visible)return!0}return!1}else if(group.policy==="AllOff"){for(const id2 of group.ids){if(!this.#groups.has(id2))return warn(`Optional content group not found: ${id2}`),!0;if(this.#groups.get(id2).visible)return!1}return!0}return warn(`Unknown optional content policy ${group.policy}.`),!0}return warn(`Unknown group type ${group.type}.`),!0}setVisibility(id2,visible=!0,preserveRB=!0){const group=this.#groups.get(id2);if(!group){warn(`Optional content group not found: ${id2}`);
+return}if(preserveRB&&visible&&group.rbGroups.length)for(const rbGroup of group.rbGroups)for(const otherId of rbGroup)otherId!==id2&&this.#groups.get(otherId)?._setVisible(INTERNAL,!1,!0);group._setVisible(INTERNAL,!!visible,!0),this.#cachedGetHash=null}setOCGState({state:state2,preserveRB}){let operator2;for(const elem of state2){switch(elem){case"ON":case"OFF":case"Toggle":operator2=elem;continue}const group=this.#groups.get(elem);if(group)switch(operator2){case"ON":this.setVisibility(elem,!0,
+preserveRB);break;case"OFF":this.setVisibility(elem,!1,preserveRB);break;case"Toggle":this.setVisibility(elem,!group.visible,preserveRB);break}}this.#cachedGetHash=null}get hasInitialVisibility(){return this.#initialHash===null||this.getHash()===this.#initialHash}getOrder(){return this.#groups.size?this.#order?this.#order.slice():[...this.#groups.keys()]:null}getGroup(id2){return this.#groups.get(id2)||null}getHash(){if(this.#cachedGetHash!==null)return this.#cachedGetHash;const hash2=new MurmurHash3_64;
+for(const[id2,group]of this.#groups)hash2.update(`${id2}:${group.visible}`);return this.#cachedGetHash=hash2.hexdigest()}[Symbol.iterator](){return this.#groups.entries()}}class PDFDataTransportStream{constructor(pdfDataRangeTransport,{disableRange=!1,disableStream=!1}){assert$1(pdfDataRangeTransport,'PDFDataTransportStream - missing required "pdfDataRangeTransport" argument.');const{length,initialData,progressiveDone,contentDispositionFilename}=pdfDataRangeTransport;if(this._queuedChunks=[],this.
+_progressiveDone=progressiveDone,this._contentDispositionFilename=contentDispositionFilename,initialData?.length>0){const buffer=initialData instanceof Uint8Array&&initialData.byteLength===initialData.buffer.byteLength?initialData.buffer:new Uint8Array(initialData).buffer;this._queuedChunks.push(buffer)}this._pdfDataRangeTransport=pdfDataRangeTransport,this._isStreamingSupported=!disableStream,this._isRangeSupported=!disableRange,this._contentLength=length,this._fullRequestReader=null,this._rangeReaders=
+[],pdfDataRangeTransport.addRangeListener((begin,chunk)=>{this._onReceiveData({begin,chunk})}),pdfDataRangeTransport.addProgressListener((loaded,total)=>{this._onProgress({loaded,total})}),pdfDataRangeTransport.addProgressiveReadListener(chunk=>{this._onReceiveData({chunk})}),pdfDataRangeTransport.addProgressiveDoneListener(()=>{this._onProgressiveDone()}),pdfDataRangeTransport.transportReady()}_onReceiveData({begin,chunk}){const buffer=chunk instanceof Uint8Array&&chunk.byteLength===chunk.buffer.
+byteLength?chunk.buffer:new Uint8Array(chunk).buffer;if(begin===void 0)this._fullRequestReader?this._fullRequestReader._enqueue(buffer):this._queuedChunks.push(buffer);else{const found=this._rangeReaders.some(function(rangeReader){return rangeReader._begin!==begin?!1:(rangeReader._enqueue(buffer),!0)});assert$1(found,"_onReceiveData - no `PDFDataTransportStreamRangeReader` instance found.")}}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}_onProgress(evt){evt.total===void 0?
+this._rangeReaders[0]?.onProgress?.({loaded:evt.loaded}):this._fullRequestReader?.onProgress?.({loaded:evt.loaded,total:evt.total})}_onProgressiveDone(){this._fullRequestReader?.progressiveDone(),this._progressiveDone=!0}_removeRangeReader(reader){const i=this._rangeReaders.indexOf(reader);i>=0&&this._rangeReaders.splice(i,1)}getFullReader(){assert$1(!this._fullRequestReader,"PDFDataTransportStream.getFullReader can only be called once.");const queuedChunks=this._queuedChunks;return this._queuedChunks=
+null,new PDFDataTransportStreamReader(this,queuedChunks,this._progressiveDone,this._contentDispositionFilename)}getRangeReader(begin,end){if(end<=this._progressiveDataLength)return null;const reader=new PDFDataTransportStreamRangeReader(this,begin,end);return this._pdfDataRangeTransport.requestDataRange(begin,end),this._rangeReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeReaders.slice(0))reader.cancel(reason);this._pdfDataRangeTransport.
+abort()}}class PDFDataTransportStreamReader{constructor(stream,queuedChunks,progressiveDone=!1,contentDispositionFilename=null){this._stream=stream,this._done=progressiveDone||!1,this._filename=isPdfFile(contentDispositionFilename)?contentDispositionFilename:null,this._queuedChunks=queuedChunks||[],this._loaded=0;for(const chunk of this._queuedChunks)this._loaded+=chunk.byteLength;this._requests=[],this._headersReady=Promise.resolve(),stream._fullRequestReader=this,this.onProgress=null}_enqueue(chunk){
+this._done||(this._requests.length>0?this._requests.shift().resolve({value:chunk,done:!1}):this._queuedChunks.push(chunk),this._loaded+=chunk.byteLength)}get headersReady(){return this._headersReady}get filename(){return this._filename}get isRangeSupported(){return this._stream._isRangeSupported}get isStreamingSupported(){return this._stream._isStreamingSupported}get contentLength(){return this._stream._contentLength}async read(){if(this._queuedChunks.length>0)return{value:this._queuedChunks.shift(),
+done:!1};if(this._done)return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}progressiveDone(){this._done||(this._done=!0)}}class PDFDataTransportStreamRangeReader{constructor(stream,begin,end){this._stream=stream,this._begin=begin,this._end=end,this._queuedChunk=
+null,this._requests=[],this._done=!1,this.onProgress=null}_enqueue(chunk){if(!this._done){if(this._requests.length===0)this._queuedChunk=chunk;else{this._requests.shift().resolve({value:chunk,done:!1});for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}this._done=!0,this._stream._removeRangeReader(this)}}get isStreamingSupported(){return!1}async read(){if(this._queuedChunk){const chunk=this._queuedChunk;return this._queuedChunk=
+null,{value:chunk,done:!1}}if(this._done)return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._stream._removeRangeReader(this)}}function getFilenameFromContentDispositionHeader(contentDisposition){let needsEncodingFixup=!0,tmp=toParamRegExp("filename\
+\\*","i").exec(contentDisposition);if(tmp){tmp=tmp[1];let filename=rfc2616unquote(tmp);return filename=unescape(filename),filename=rfc5987decode(filename),filename=rfc2047decode(filename),fixupEncoding(filename)}if(tmp=rfc2231getparam(contentDisposition),tmp){const filename=rfc2047decode(tmp);return fixupEncoding(filename)}if(tmp=toParamRegExp("filename","i").exec(contentDisposition),tmp){tmp=tmp[1];let filename=rfc2616unquote(tmp);return filename=rfc2047decode(filename),fixupEncoding(filename)}
+function toParamRegExp(attributePattern,flags2){return new RegExp("(?:^|;)\\s*"+attributePattern+'\\s*=\\s*([^";\\s][^;\\s]*|"(?:[^"\\\\]|\\\\"?)+"?)',flags2)}function textdecode(encoding,value){if(encoding){if(!/^[\x00-\xFF]+$/.test(value))return value;try{const decoder=new TextDecoder(encoding,{fatal:!0}),buffer=stringToBytes(value);value=decoder.decode(buffer),needsEncodingFixup=!1}catch{}}return value}function fixupEncoding(value){return needsEncodingFixup&&/[\x80-\xff]/.test(value)&&(value=
+textdecode("utf-8",value),needsEncodingFixup&&(value=textdecode("iso-8859-1",value))),value}function rfc2231getparam(contentDispositionStr){const matches2=[];let match;const iter=toParamRegExp("filename\\*((?!0\\d)\\d+)(\\*?)","ig");for(;(match=iter.exec(contentDispositionStr))!==null;){let[,n,quot,part]=match;if(n=parseInt(n,10),n in matches2){if(n===0)break;continue}matches2[n]=[quot,part]}const parts=[];for(let n=0;n<matches2.length&&n in matches2;++n){let[quot,part]=matches2[n];part=rfc2616unquote(
+part),quot&&(part=unescape(part),n===0&&(part=rfc5987decode(part))),parts.push(part)}return parts.join("")}function rfc2616unquote(value){if(value.startsWith('"')){const parts=value.slice(1).split('\\"');for(let i=0;i<parts.length;++i){const quotindex=parts[i].indexOf('"');quotindex!==-1&&(parts[i]=parts[i].slice(0,quotindex),parts.length=i+1),parts[i]=parts[i].replaceAll(/\\(.)/g,"$1")}value=parts.join('"')}return value}function rfc5987decode(extvalue){const encodingend=extvalue.indexOf("'");if(encodingend===
+-1)return extvalue;const encoding=extvalue.slice(0,encodingend),value=extvalue.slice(encodingend+1).replace(/^[^']*'/,"");return textdecode(encoding,value)}function rfc2047decode(value){return!value.startsWith("=?")||/[\x00-\x19\x80-\xff]/.test(value)?value:value.replaceAll(/=\?([\w-]*)\?([QqBb])\?((?:[^?]|\?(?!=))*)\?=/g,function(matches2,charset,encoding,text2){if(encoding==="q"||encoding==="Q")return text2=text2.replaceAll("_"," "),text2=text2.replaceAll(/=([0-9a-fA-F]{2})/g,function(match,hex){
+return String.fromCharCode(parseInt(hex,16))}),textdecode(charset,text2);try{text2=atob(text2)}catch{}return textdecode(charset,text2)})}return""}function createHeaders(isHttp,httpHeaders){const headers=new Headers;if(!isHttp||!httpHeaders||typeof httpHeaders!="object")return headers;for(const key2 in httpHeaders){const val=httpHeaders[key2];val!==void 0&&headers.append(key2,val)}return headers}function getResponseOrigin(url2){return URL.parse(url2)?.origin??null}function validateRangeRequestCapabilities({
+responseHeaders,isHttp,rangeChunkSize,disableRange}){const returnValues={allowRangeRequests:!1,suggestedLength:void 0},length=parseInt(responseHeaders.get("Content-Length"),10);return!Number.isInteger(length)||(returnValues.suggestedLength=length,length<=2*rangeChunkSize)||disableRange||!isHttp||responseHeaders.get("Accept-Ranges")!=="bytes"||(responseHeaders.get("Content-Encoding")||"identity")!=="identity"||(returnValues.allowRangeRequests=!0),returnValues}function extractFilenameFromHeader(responseHeaders){
+const contentDisposition=responseHeaders.get("Content-Disposition");if(contentDisposition){let filename=getFilenameFromContentDispositionHeader(contentDisposition);if(filename.includes("%"))try{filename=decodeURIComponent(filename)}catch{}if(isPdfFile(filename))return filename}return null}function createResponseError(status,url2){return new ResponseException(`Unexpected server response (${status}) while retrieving PDF "${url2}".`,status,status===404||status===0&&url2.startsWith("file:"))}function validateResponseStatus(status){
+return status===200||status===206}function createFetchOptions(headers,withCredentials,abortController){return{method:"GET",headers,signal:abortController.signal,mode:"cors",credentials:withCredentials?"include":"same-origin",redirect:"follow"}}function getArrayBuffer(val){return val instanceof Uint8Array?val.buffer:val instanceof ArrayBuffer?val:(warn(`getArrayBuffer - unexpected data format: ${val}`),new Uint8Array(val).buffer)}class PDFFetchStream{_responseOrigin=null;constructor(source2){this.
+source=source2,this.isHttp=/^https?:/i.test(source2.url),this.headers=createHeaders(this.isHttp,source2.httpHeaders),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return assert$1(!this._fullRequestReader,"PDFFetchStream.getFullReader can only be called once."),this._fullRequestReader=new PDFFetchStreamReader(this),this._fullRequestReader}getRangeReader(begin,end){if(end<=this._progressiveDataLength)
+return null;const reader=new PDFFetchStreamRangeReader(this,begin,end);return this._rangeRequestReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFFetchStreamReader{constructor(stream){this._stream=stream,this._reader=null,this._loaded=0,this._filename=null;const source2=stream.source;this._withCredentials=source2.withCredentials||!1,this._contentLength=source2.length,
+this._headersCapability=Promise.withResolvers(),this._disableRange=source2.disableRange||!1,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._abortController=new AbortController,this._isStreamingSupported=!source2.disableStream,this._isRangeSupported=!source2.disableRange;const headers=new Headers(stream.headers),url2=source2.url;fetch(url2,createFetchOptions(headers,this._withCredentials,this._abortController)).then(response=>{
+if(stream._responseOrigin=getResponseOrigin(response.url),!validateResponseStatus(response.status))throw createResponseError(response.status,url2);this._reader=response.body.getReader(),this._headersCapability.resolve();const responseHeaders=response.headers,{allowRangeRequests,suggestedLength}=validateRangeRequestCapabilities({responseHeaders,isHttp:stream.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});this._isRangeSupported=allowRangeRequests,this._contentLength=suggestedLength||
+this._contentLength,this._filename=extractFilenameFromHeader(responseHeaders),!this._isStreamingSupported&&this._isRangeSupported&&this.cancel(new AbortException("Streaming is disabled."))}).catch(this._headersCapability.reject),this.onProgress=null}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){
+await this._headersCapability.promise;const{value,done}=await this._reader.read();return done?{value,done}:(this._loaded+=value.byteLength,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:getArrayBuffer(value),done:!1})}cancel(reason){this._reader?.cancel(reason),this._abortController.abort()}}class PDFFetchStreamRangeReader{constructor(stream,begin,end){this._stream=stream,this._reader=null,this._loaded=0;const source2=stream.source;this._withCredentials=source2.withCredentials||
+!1,this._readCapability=Promise.withResolvers(),this._isStreamingSupported=!source2.disableStream,this._abortController=new AbortController;const headers=new Headers(stream.headers);headers.append("Range",`bytes=${begin}-${end-1}`);const url2=source2.url;fetch(url2,createFetchOptions(headers,this._withCredentials,this._abortController)).then(response=>{const responseOrigin=getResponseOrigin(response.url);if(responseOrigin!==stream._responseOrigin)throw new Error(`Expected range response-origin "${responseOrigin}\
+" to match "${stream._responseOrigin}".`);if(!validateResponseStatus(response.status))throw createResponseError(response.status,url2);this._readCapability.resolve(),this._reader=response.body.getReader()}).catch(this._readCapability.reject),this.onProgress=null}get isStreamingSupported(){return this._isStreamingSupported}async read(){await this._readCapability.promise;const{value,done}=await this._reader.read();return done?{value,done}:(this._loaded+=value.byteLength,this.onProgress?.({loaded:this.
+_loaded}),{value:getArrayBuffer(value),done:!1})}cancel(reason){this._reader?.cancel(reason),this._abortController.abort()}}const OK_RESPONSE=200,PARTIAL_CONTENT_RESPONSE=206;function network_getArrayBuffer(xhr){const data=xhr.response;return typeof data!="string"?data:stringToBytes(data).buffer}class NetworkManager{_responseOrigin=null;constructor({url:url2,httpHeaders,withCredentials}){this.url=url2,this.isHttp=/^https?:/i.test(url2),this.headers=createHeaders(this.isHttp,httpHeaders),this.withCredentials=
+withCredentials||!1,this.currXhrId=0,this.pendingRequests=Object.create(null)}request(args){const xhr=new XMLHttpRequest,xhrId=this.currXhrId++,pendingRequest=this.pendingRequests[xhrId]={xhr};xhr.open("GET",this.url),xhr.withCredentials=this.withCredentials;for(const[key2,val]of this.headers)xhr.setRequestHeader(key2,val);return this.isHttp&&"begin"in args&&"end"in args?(xhr.setRequestHeader("Range",`bytes=${args.begin}-${args.end-1}`),pendingRequest.expectedStatus=PARTIAL_CONTENT_RESPONSE):pendingRequest.
+expectedStatus=OK_RESPONSE,xhr.responseType="arraybuffer",assert$1(args.onError,"Expected `onError` callback to be provided."),xhr.onerror=()=>{args.onError(xhr.status)},xhr.onreadystatechange=this.onStateChange.bind(this,xhrId),xhr.onprogress=this.onProgress.bind(this,xhrId),pendingRequest.onHeadersReceived=args.onHeadersReceived,pendingRequest.onDone=args.onDone,pendingRequest.onError=args.onError,pendingRequest.onProgress=args.onProgress,xhr.send(null),xhrId}onProgress(xhrId,evt){const pendingRequest=this.
+pendingRequests[xhrId];pendingRequest&&pendingRequest.onProgress?.(evt)}onStateChange(xhrId,evt){const pendingRequest=this.pendingRequests[xhrId];if(!pendingRequest)return;const xhr=pendingRequest.xhr;if(xhr.readyState>=2&&pendingRequest.onHeadersReceived&&(pendingRequest.onHeadersReceived(),delete pendingRequest.onHeadersReceived),xhr.readyState!==4||!(xhrId in this.pendingRequests))return;if(delete this.pendingRequests[xhrId],xhr.status===0&&this.isHttp){pendingRequest.onError(xhr.status);return}
+const xhrStatus=xhr.status||OK_RESPONSE;if(!(xhrStatus===OK_RESPONSE&&pendingRequest.expectedStatus===PARTIAL_CONTENT_RESPONSE)&&xhrStatus!==pendingRequest.expectedStatus){pendingRequest.onError(xhr.status);return}const chunk=network_getArrayBuffer(xhr);if(xhrStatus===PARTIAL_CONTENT_RESPONSE){const rangeHeader=xhr.getResponseHeader("Content-Range"),matches2=/bytes (\d+)-(\d+)\/(\d+)/.exec(rangeHeader);matches2?pendingRequest.onDone({begin:parseInt(matches2[1],10),chunk}):(warn('Missing or inval\
+id "Content-Range" header.'),pendingRequest.onError(0))}else chunk?pendingRequest.onDone({begin:0,chunk}):pendingRequest.onError(xhr.status)}getRequestXhr(xhrId){return this.pendingRequests[xhrId].xhr}isPendingRequest(xhrId){return xhrId in this.pendingRequests}abortRequest(xhrId){const xhr=this.pendingRequests[xhrId].xhr;delete this.pendingRequests[xhrId],xhr.abort()}}class PDFNetworkStream{constructor(source2){this._source=source2,this._manager=new NetworkManager(source2),this._rangeChunkSize=
+source2.rangeChunkSize,this._fullRequestReader=null,this._rangeRequestReaders=[]}_onRangeRequestReaderClosed(reader){const i=this._rangeRequestReaders.indexOf(reader);i>=0&&this._rangeRequestReaders.splice(i,1)}getFullReader(){return assert$1(!this._fullRequestReader,"PDFNetworkStream.getFullReader can only be called once."),this._fullRequestReader=new PDFNetworkStreamFullRequestReader(this._manager,this._source),this._fullRequestReader}getRangeReader(begin,end){const reader=new PDFNetworkStreamRangeRequestReader(
+this._manager,begin,end);return reader.onClosed=this._onRangeRequestReaderClosed.bind(this),this._rangeRequestReaders.push(reader),reader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFNetworkStreamFullRequestReader{constructor(manager,source2){this._manager=manager,this._url=source2.url,this._fullRequestId=manager.request({onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.
+bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._headersCapability=Promise.withResolvers(),this._disableRange=source2.disableRange||!1,this._contentLength=source2.length,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!1,this._isRangeSupported=!1,this._cachedChunks=[],this._requests=[],this._done=!1,this._storedError=void 0,this._filename=null,this.onProgress=null}_onHeadersReceived(){
+const fullRequestXhrId=this._fullRequestId,fullRequestXhr=this._manager.getRequestXhr(fullRequestXhrId);this._manager._responseOrigin=getResponseOrigin(fullRequestXhr.responseURL);const rawResponseHeaders=fullRequestXhr.getAllResponseHeaders(),responseHeaders=new Headers(rawResponseHeaders?rawResponseHeaders.trimStart().replace(/[^\S ]+$/,"").split(/[\r\n]+/).map(x=>{const[key2,...val]=x.split(": ");return[key2,val.join(": ")]}):[]),{allowRangeRequests,suggestedLength}=validateRangeRequestCapabilities(
+{responseHeaders,isHttp:this._manager.isHttp,rangeChunkSize:this._rangeChunkSize,disableRange:this._disableRange});allowRangeRequests&&(this._isRangeSupported=!0),this._contentLength=suggestedLength||this._contentLength,this._filename=extractFilenameFromHeader(responseHeaders),this._isRangeSupported&&this._manager.abortRequest(fullRequestXhrId),this._headersCapability.resolve()}_onDone(data){if(data&&(this._requests.length>0?this._requests.shift().resolve({value:data.chunk,done:!1}):this._cachedChunks.
+push(data.chunk)),this._done=!0,!(this._cachedChunks.length>0)){for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0}}_onError(status){this._storedError=createResponseError(status,this._url),this._headersCapability.reject(this._storedError);for(const requestCapability of this._requests)requestCapability.reject(this._storedError);this._requests.length=0,this._cachedChunks.length=0}_onProgress(evt){this.onProgress?.({loaded:evt.loaded,
+total:evt.lengthComputable?evt.total:this._contentLength})}get filename(){return this._filename}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}get contentLength(){return this._contentLength}get headersReady(){return this._headersCapability.promise}async read(){if(await this._headersCapability.promise,this._storedError)throw this._storedError;if(this._cachedChunks.length>0)return{value:this._cachedChunks.shift(),done:!1};if(this._done)
+return{value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0,this._headersCapability.reject(reason);for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._fullRequestId)&&this._manager.abortRequest(this._fullRequestId),this._fullRequestReader=null}}class PDFNetworkStreamRangeRequestReader{constructor(manager,begin,end){
+this._manager=manager,this._url=manager.url,this._requestId=manager.request({begin,end,onHeadersReceived:this._onHeadersReceived.bind(this),onDone:this._onDone.bind(this),onError:this._onError.bind(this),onProgress:this._onProgress.bind(this)}),this._requests=[],this._queuedChunk=null,this._done=!1,this._storedError=void 0,this.onProgress=null,this.onClosed=null}_onHeadersReceived(){const responseOrigin=getResponseOrigin(this._manager.getRequestXhr(this._requestId)?.responseURL);responseOrigin!==
+this._manager._responseOrigin&&(this._storedError=new Error(`Expected range response-origin "${responseOrigin}" to match "${this._manager._responseOrigin}".`),this._onError(0))}_close(){this.onClosed?.(this)}_onDone(data){const chunk=data.chunk;this._requests.length>0?this._requests.shift().resolve({value:chunk,done:!1}):this._queuedChunk=chunk,this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._close()}_onError(status){
+this._storedError??=createResponseError(status,this._url);for(const requestCapability of this._requests)requestCapability.reject(this._storedError);this._requests.length=0,this._queuedChunk=null}_onProgress(evt){this.isStreamingSupported||this.onProgress?.({loaded:evt.loaded})}get isStreamingSupported(){return!1}async read(){if(this._storedError)throw this._storedError;if(this._queuedChunk!==null){const chunk=this._queuedChunk;return this._queuedChunk=null,{value:chunk,done:!1}}if(this._done)return{
+value:void 0,done:!0};const requestCapability=Promise.withResolvers();return this._requests.push(requestCapability),requestCapability.promise}cancel(reason){this._done=!0;for(const requestCapability of this._requests)requestCapability.resolve({value:void 0,done:!0});this._requests.length=0,this._manager.isPendingRequest(this._requestId)&&this._manager.abortRequest(this._requestId),this._close()}}const urlRegex=/^[a-z][a-z0-9\-+.]+:/i;function parseUrlOrPath(sourceUrl){if(urlRegex.test(sourceUrl))
+return new URL(sourceUrl);const url2=process.getBuiltinModule("url");return new URL(url2.pathToFileURL(sourceUrl))}class PDFNodeStream{constructor(source2){this.source=source2,this.url=parseUrlOrPath(source2.url),assert$1(this.url.protocol==="file:","PDFNodeStream only supports file:// URLs."),this._fullRequestReader=null,this._rangeRequestReaders=[]}get _progressiveDataLength(){return this._fullRequestReader?._loaded??0}getFullReader(){return assert$1(!this._fullRequestReader,"PDFNodeStream.get\
+FullReader can only be called once."),this._fullRequestReader=new PDFNodeStreamFsFullReader(this),this._fullRequestReader}getRangeReader(start2,end){if(end<=this._progressiveDataLength)return null;const rangeReader=new PDFNodeStreamFsRangeReader(this,start2,end);return this._rangeRequestReaders.push(rangeReader),rangeReader}cancelAllRequests(reason){this._fullRequestReader?.cancel(reason);for(const reader of this._rangeRequestReaders.slice(0))reader.cancel(reason)}}class PDFNodeStreamFsFullReader{constructor(stream){
+this._url=stream.url,this._done=!1,this._storedError=null,this.onProgress=null;const source2=stream.source;this._contentLength=source2.length,this._loaded=0,this._filename=null,this._disableRange=source2.disableRange||!1,this._rangeChunkSize=source2.rangeChunkSize,!this._rangeChunkSize&&!this._disableRange&&(this._disableRange=!0),this._isStreamingSupported=!source2.disableStream,this._isRangeSupported=!source2.disableRange,this._readableStream=null,this._readCapability=Promise.withResolvers(),this.
+_headersCapability=Promise.withResolvers();const fs=process.getBuiltinModule("fs");fs.promises.lstat(this._url).then(stat=>{this._contentLength=stat.size,this._setReadableStream(fs.createReadStream(this._url)),this._headersCapability.resolve()},error2=>{error2.code==="ENOENT"&&(error2=createResponseError(0,this._url.href)),this._storedError=error2,this._headersCapability.reject(error2)})}get headersReady(){return this._headersCapability.promise}get filename(){return this._filename}get contentLength(){
+return this._contentLength}get isRangeSupported(){return this._isRangeSupported}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const chunk=this._readableStream.read();return chunk===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=chunk.length,this.onProgress?.({loaded:this._loaded,total:this._contentLength}),{value:new Uint8Array(
+chunk).buffer,done:!1})}cancel(reason){if(!this._readableStream){this._error(reason);return}this._readableStream.destroy(reason)}_error(reason){this._storedError=reason,this._readCapability.resolve()}_setReadableStream(readableStream){this._readableStream=readableStream,readableStream.on("readable",()=>{this._readCapability.resolve()}),readableStream.on("end",()=>{readableStream.destroy(),this._done=!0,this._readCapability.resolve()}),readableStream.on("error",reason=>{this._error(reason)}),!this.
+_isStreamingSupported&&this._isRangeSupported&&this._error(new AbortException("streaming is disabled")),this._storedError&&this._readableStream.destroy(this._storedError)}}class PDFNodeStreamFsRangeReader{constructor(stream,start2,end){this._url=stream.url,this._done=!1,this._storedError=null,this.onProgress=null,this._loaded=0,this._readableStream=null,this._readCapability=Promise.withResolvers();const source2=stream.source;this._isStreamingSupported=!source2.disableStream;const fs=process.getBuiltinModule(
+"fs");this._setReadableStream(fs.createReadStream(this._url,{start:start2,end:end-1}))}get isStreamingSupported(){return this._isStreamingSupported}async read(){if(await this._readCapability.promise,this._done)return{value:void 0,done:!0};if(this._storedError)throw this._storedError;const chunk=this._readableStream.read();return chunk===null?(this._readCapability=Promise.withResolvers(),this.read()):(this._loaded+=chunk.length,this.onProgress?.({loaded:this._loaded}),{value:new Uint8Array(chunk).
+buffer,done:!1})}cancel(reason){if(!this._readableStream){this._error(reason);return}this._readableStream.destroy(reason)}_error(reason){this._storedError=reason,this._readCapability.resolve()}_setReadableStream(readableStream){this._readableStream=readableStream,readableStream.on("readable",()=>{this._readCapability.resolve()}),readableStream.on("end",()=>{readableStream.destroy(),this._done=!0,this._readCapability.resolve()}),readableStream.on("error",reason=>{this._error(reason)}),this._storedError&&
+this._readableStream.destroy(this._storedError)}}const INITIAL_DATA=Symbol("INITIAL_DATA");class PDFObjects{#objs=Object.create(null);#ensureObj(objId){return this.#objs[objId]||={...Promise.withResolvers(),data:INITIAL_DATA}}get(objId,callback=null){if(callback){const obj2=this.#ensureObj(objId);return obj2.promise.then(()=>callback(obj2.data)),null}const obj=this.#objs[objId];if(!obj||obj.data===INITIAL_DATA)throw new Error(`Requesting object that isn't resolved yet ${objId}.`);return obj.data}has(objId){
+const obj=this.#objs[objId];return!!obj&&obj.data!==INITIAL_DATA}delete(objId){const obj=this.#objs[objId];return!obj||obj.data===INITIAL_DATA?!1:(delete this.#objs[objId],!0)}resolve(objId,data=null){const obj=this.#ensureObj(objId);obj.data=data,obj.resolve()}clear(){for(const objId in this.#objs){const{data}=this.#objs[objId];data?.bitmap?.close()}this.#objs=Object.create(null)}*[Symbol.iterator](){for(const objId in this.#objs){const{data}=this.#objs[objId];data!==INITIAL_DATA&&(yield[objId,
+data])}}}const MAX_TEXT_DIVS_TO_RENDER=1e5,DEFAULT_FONT_SIZE=30;class TextLayer{#capability=Promise.withResolvers();#container=null;#disableProcessItems=!1;#fontInspectorEnabled=!!globalThis.FontInspector?.enabled;#lang=null;#layoutTextParams=null;#pageHeight=0;#pageWidth=0;#reader=null;#rootContainer=null;#rotation=0;#scale=0;#styleCache=Object.create(null);#textContentItemsStr=[];#textContentSource=null;#textDivs=[];#textDivProperties=new WeakMap;#transform=null;static#ascentCache=new Map;static#canvasContexts=new Map;static#canvasCtxFonts=new WeakMap;static#minFontSize=null;static#pendingTextLayers=new Set;constructor({
+textContentSource,container:container2,viewport}){if(textContentSource instanceof ReadableStream)this.#textContentSource=textContentSource;else if(typeof textContentSource=="object")this.#textContentSource=new ReadableStream({start(controller){controller.enqueue(textContentSource),controller.close()}});else throw new Error('No "textContentSource" parameter specified.');this.#container=this.#rootContainer=container2,this.#scale=viewport.scale*OutputScale.pixelRatio,this.#rotation=viewport.rotation,
+this.#layoutTextParams={div:null,properties:null,ctx:null};const{pageWidth,pageHeight,pageX,pageY}=viewport.rawDims;this.#transform=[1,0,0,-1,-pageX,pageY+pageHeight],this.#pageWidth=pageWidth,this.#pageHeight=pageHeight,TextLayer.#ensureMinFontSizeComputed(),setLayerDimensions(container2,viewport),this.#capability.promise.finally(()=>{TextLayer.#pendingTextLayers.delete(this),this.#layoutTextParams=null,this.#styleCache=null}).catch(()=>{})}static get fontFamilyMap(){const{isWindows,isFirefox}=util_FeatureTest.
+platform;return shadow(this,"fontFamilyMap",new Map([["sans-serif",`${isWindows&&isFirefox?"Calibri, ":""}sans-serif`],["monospace",`${isWindows&&isFirefox?"Lucida Console, ":""}monospace`]]))}render(){const pump=()=>{this.#reader.read().then(({value,done})=>{if(done){this.#capability.resolve();return}this.#lang??=value.lang,Object.assign(this.#styleCache,value.styles),this.#processItems(value.items),pump()},this.#capability.reject)};return this.#reader=this.#textContentSource.getReader(),TextLayer.#pendingTextLayers.
+add(this),pump(),this.#capability.promise}update({viewport,onBefore=null}){const scale2=viewport.scale*OutputScale.pixelRatio,rotation=viewport.rotation;if(rotation!==this.#rotation&&(onBefore?.(),this.#rotation=rotation,setLayerDimensions(this.#rootContainer,{rotation})),scale2!==this.#scale){onBefore?.(),this.#scale=scale2;const params={div:null,properties:null,ctx:TextLayer.#getCtx(this.#lang)};for(const div of this.#textDivs)params.properties=this.#textDivProperties.get(div),params.div=div,this.#layout(
+params)}}cancel(){const abortEx=new AbortException("TextLayer task cancelled.");this.#reader?.cancel(abortEx).catch(()=>{}),this.#reader=null,this.#capability.reject(abortEx)}get textDivs(){return this.#textDivs}get textContentItemsStr(){return this.#textContentItemsStr}#processItems(items2){if(this.#disableProcessItems)return;this.#layoutTextParams.ctx??=TextLayer.#getCtx(this.#lang);const textDivs=this.#textDivs,textContentItemsStr=this.#textContentItemsStr;for(const item of items2){if(textDivs.
+length>MAX_TEXT_DIVS_TO_RENDER){warn("Ignoring additional textDivs for performance reasons."),this.#disableProcessItems=!0;return}if(item.str===void 0){if(item.type==="beginMarkedContentProps"||item.type==="beginMarkedContent"){const parent=this.#container;this.#container=document.createElement("span"),this.#container.classList.add("markedContent"),item.id&&this.#container.setAttribute("id",`${item.id}`),parent.append(this.#container)}else item.type==="endMarkedContent"&&(this.#container=this.#container.
+parentNode);continue}textContentItemsStr.push(item.str),this.#appendText(item)}}#appendText(geom){const textDiv=document.createElement("span"),textDivProperties={angle:0,canvasWidth:0,hasText:geom.str!=="",hasEOL:geom.hasEOL,fontSize:0};this.#textDivs.push(textDiv);const tx=Util.transform(this.#transform,geom.transform);let angle=Math.atan2(tx[1],tx[0]);const style2=this.#styleCache[geom.fontName];style2.vertical&&(angle+=Math.PI/2);let fontFamily=this.#fontInspectorEnabled&&style2.fontSubstitution||
+style2.fontFamily;fontFamily=TextLayer.fontFamilyMap.get(fontFamily)||fontFamily;const fontHeight=Math.hypot(tx[2],tx[3]),fontAscent=fontHeight*TextLayer.#getAscent(fontFamily,style2,this.#lang);let left,top;angle===0?(left=tx[4],top=tx[5]-fontAscent):(left=tx[4]+fontAscent*Math.sin(angle),top=tx[5]-fontAscent*Math.cos(angle));const scaleFactorStr="calc(var(--total-scale-factor) *",divStyle=textDiv.style;this.#container===this.#rootContainer?(divStyle.left=`${(100*left/this.#pageWidth).toFixed(2)}\
+%`,divStyle.top=`${(100*top/this.#pageHeight).toFixed(2)}%`):(divStyle.left=`${scaleFactorStr}${left.toFixed(2)}px)`,divStyle.top=`${scaleFactorStr}${top.toFixed(2)}px)`),divStyle.fontSize=`${scaleFactorStr}${(TextLayer.#minFontSize*fontHeight).toFixed(2)}px)`,divStyle.fontFamily=fontFamily,textDivProperties.fontSize=fontHeight,textDiv.setAttribute("role","presentation"),textDiv.textContent=geom.str,textDiv.dir=geom.dir,this.#fontInspectorEnabled&&(textDiv.dataset.fontName=style2.fontSubstitutionLoadedName||
+geom.fontName),angle!==0&&(textDivProperties.angle=angle*(180/Math.PI));let shouldScaleText=!1;if(geom.str.length>1)shouldScaleText=!0;else if(geom.str!==" "&&geom.transform[0]!==geom.transform[3]){const absScaleX=Math.abs(geom.transform[0]),absScaleY=Math.abs(geom.transform[3]);absScaleX!==absScaleY&&Math.max(absScaleX,absScaleY)/Math.min(absScaleX,absScaleY)>1.5&&(shouldScaleText=!0)}if(shouldScaleText&&(textDivProperties.canvasWidth=style2.vertical?geom.height:geom.width),this.#textDivProperties.
+set(textDiv,textDivProperties),this.#layoutTextParams.div=textDiv,this.#layoutTextParams.properties=textDivProperties,this.#layout(this.#layoutTextParams),textDivProperties.hasText&&this.#container.append(textDiv),textDivProperties.hasEOL){const br2=document.createElement("br");br2.setAttribute("role","presentation"),this.#container.append(br2)}}#layout(params){const{div,properties:properties2,ctx}=params,{style:style2}=div;let transform2="";if(TextLayer.#minFontSize>1&&(transform2=`scale(${1/TextLayer.#minFontSize}\
+)`),properties2.canvasWidth!==0&&properties2.hasText){const{fontFamily}=style2,{canvasWidth,fontSize}=properties2;TextLayer.#ensureCtxFont(ctx,fontSize*this.#scale,fontFamily);const{width}=ctx.measureText(div.textContent);width>0&&(transform2=`scaleX(${canvasWidth*this.#scale/width}) ${transform2}`)}properties2.angle!==0&&(transform2=`rotate(${properties2.angle}deg) ${transform2}`),transform2.length>0&&(style2.transform=transform2)}static cleanup(){if(!(this.#pendingTextLayers.size>0)){this.#ascentCache.
+clear();for(const{canvas}of this.#canvasContexts.values())canvas.remove();this.#canvasContexts.clear()}}static#getCtx(lang=null){let ctx=this.#canvasContexts.get(lang||="");if(!ctx){const canvas=document.createElement("canvas");canvas.className="hiddenCanvasElement",canvas.lang=lang,document.body.append(canvas),ctx=canvas.getContext("2d",{alpha:!1,willReadFrequently:!0}),this.#canvasContexts.set(lang,ctx),this.#canvasCtxFonts.set(ctx,{size:0,family:""})}return ctx}static#ensureCtxFont(ctx,size2,family){
+const cached2=this.#canvasCtxFonts.get(ctx);size2===cached2.size&&family===cached2.family||(ctx.font=`${size2}px ${family}`,cached2.size=size2,cached2.family=family)}static#ensureMinFontSizeComputed(){if(this.#minFontSize!==null)return;const div=document.createElement("div");div.style.opacity=0,div.style.lineHeight=1,div.style.fontSize="1px",div.style.position="absolute",div.textContent="X",document.body.append(div),this.#minFontSize=div.getBoundingClientRect().height,div.remove()}static#getAscent(fontFamily,style2,lang){
+const cachedAscent=this.#ascentCache.get(fontFamily);if(cachedAscent)return cachedAscent;const ctx=this.#getCtx(lang);ctx.canvas.width=ctx.canvas.height=DEFAULT_FONT_SIZE,this.#ensureCtxFont(ctx,DEFAULT_FONT_SIZE,fontFamily);const metrics=ctx.measureText(""),ascent=metrics.fontBoundingBoxAscent,descent=Math.abs(metrics.fontBoundingBoxDescent);ctx.canvas.width=ctx.canvas.height=0;let ratio=.8;return ascent?ratio=ascent/(ascent+descent):(util_FeatureTest.platform.isFirefox&&warn("Enable the `dom.t\
+extMetrics.fontBoundingBox.enabled` preference in `about:config` to improve TextLayer rendering."),style2.ascent?ratio=style2.ascent:style2.descent&&(ratio=1+style2.descent)),this.#ascentCache.set(fontFamily,ratio),ratio}}class XfaText{static textContent(xfa){const items2=[],output={items:items2,styles:Object.create(null)};function walk(node2){if(!node2)return;let str=null;const name=node2.name;if(name==="#text")str=node2.value;else if(XfaText.shouldBuildText(name))node2?.attributes?.textContent?
+str=node2.attributes.textContent:node2.value&&(str=node2.value);else return;if(str!==null&&items2.push({str}),!!node2.children)for(const child2 of node2.children)walk(child2)}return walk(xfa),output}static shouldBuildText(name){return!(name==="textarea"||name==="input"||name==="option"||name==="select")}}const RENDERING_CANCELLED_TIMEOUT=100;function getDocument(src={}){typeof src=="string"||src instanceof URL?src={url:src}:(src instanceof ArrayBuffer||ArrayBuffer.isView(src))&&(src={data:src});
+const task=new PDFDocumentLoadingTask,{docId}=task,url2=src.url?getUrlProp(src.url):null,data=src.data?getDataProp(src.data):null,httpHeaders=src.httpHeaders||null,withCredentials=src.withCredentials===!0,password=src.password??null,rangeTransport=src.range instanceof PDFDataRangeTransport?src.range:null,rangeChunkSize=Number.isInteger(src.rangeChunkSize)&&src.rangeChunkSize>0?src.rangeChunkSize:2**16;let worker=src.worker instanceof PDFWorker?src.worker:null;const verbosity2=src.verbosity,docBaseUrl=typeof src.
+docBaseUrl=="string"&&!isDataScheme(src.docBaseUrl)?src.docBaseUrl:null,cMapUrl=getFactoryUrlProp(src.cMapUrl),cMapPacked=src.cMapPacked!==!1,CMapReaderFactory=src.CMapReaderFactory||(isNodeJS?NodeCMapReaderFactory:DOMCMapReaderFactory),iccUrl=getFactoryUrlProp(src.iccUrl),standardFontDataUrl=getFactoryUrlProp(src.standardFontDataUrl),StandardFontDataFactory=src.StandardFontDataFactory||(isNodeJS?NodeStandardFontDataFactory:DOMStandardFontDataFactory),wasmUrl=getFactoryUrlProp(src.wasmUrl),WasmFactory=src.
+WasmFactory||(isNodeJS?NodeWasmFactory:DOMWasmFactory),ignoreErrors=src.stopAtErrors!==!0,maxImageSize=Number.isInteger(src.maxImageSize)&&src.maxImageSize>-1?src.maxImageSize:-1,isEvalSupported2=src.isEvalSupported!==!1,isOffscreenCanvasSupported=typeof src.isOffscreenCanvasSupported=="boolean"?src.isOffscreenCanvasSupported:!isNodeJS,isImageDecoderSupported=typeof src.isImageDecoderSupported=="boolean"?src.isImageDecoderSupported:!isNodeJS&&(util_FeatureTest.platform.isFirefox||!globalThis.chrome),
+canvasMaxAreaInBytes=Number.isInteger(src.canvasMaxAreaInBytes)?src.canvasMaxAreaInBytes:-1,disableFontFace=typeof src.disableFontFace=="boolean"?src.disableFontFace:isNodeJS,fontExtraProperties=src.fontExtraProperties===!0,enableXfa=src.enableXfa===!0,ownerDocument=src.ownerDocument||globalThis.document,disableRange=src.disableRange===!0,disableStream=src.disableStream===!0,disableAutoFetch=src.disableAutoFetch===!0,pdfBug=src.pdfBug===!0,CanvasFactory=src.CanvasFactory||(isNodeJS?NodeCanvasFactory:
+DOMCanvasFactory),FilterFactory=src.FilterFactory||(isNodeJS?NodeFilterFactory:DOMFilterFactory),enableHWA=src.enableHWA===!0,useWasm=src.useWasm!==!1,length=rangeTransport?rangeTransport.length:src.length??NaN,useSystemFonts=typeof src.useSystemFonts=="boolean"?src.useSystemFonts:!isNodeJS&&!disableFontFace,useWorkerFetch=typeof src.useWorkerFetch=="boolean"?src.useWorkerFetch:!!(CMapReaderFactory===DOMCMapReaderFactory&&StandardFontDataFactory===DOMStandardFontDataFactory&&WasmFactory===DOMWasmFactory&&
+cMapUrl&&standardFontDataUrl&&wasmUrl&&isValidFetchUrl(cMapUrl,document.baseURI)&&isValidFetchUrl(standardFontDataUrl,document.baseURI)&&isValidFetchUrl(wasmUrl,document.baseURI)),styleElement2=null;setVerbosityLevel(verbosity2);const transportFactory={canvasFactory:new CanvasFactory({ownerDocument,enableHWA}),filterFactory:new FilterFactory({docId,ownerDocument}),cMapReaderFactory:useWorkerFetch?null:new CMapReaderFactory({baseUrl:cMapUrl,isCompressed:cMapPacked}),standardFontDataFactory:useWorkerFetch?
+null:new StandardFontDataFactory({baseUrl:standardFontDataUrl}),wasmFactory:useWorkerFetch?null:new WasmFactory({baseUrl:wasmUrl})};worker||(worker=PDFWorker.create({verbosity:verbosity2,port:GlobalWorkerOptions.workerPort}),task._worker=worker);const docParams={docId,apiVersion:"5.4.54",data,password,disableAutoFetch,rangeChunkSize,length,docBaseUrl,enableXfa,evaluatorOptions:{maxImageSize,disableFontFace,ignoreErrors,isEvalSupported:isEvalSupported2,isOffscreenCanvasSupported,isImageDecoderSupported,
+canvasMaxAreaInBytes,fontExtraProperties,useSystemFonts,useWasm,useWorkerFetch,cMapUrl,iccUrl,standardFontDataUrl,wasmUrl}},transportParams={ownerDocument,pdfBug,styleElement:styleElement2,loadingParams:{disableAutoFetch,enableXfa}};return worker.promise.then(function(){if(task.destroyed)throw new Error("Loading aborted");if(worker.destroyed)throw new Error("Worker was destroyed");const workerIdPromise=worker.messageHandler.sendWithPromise("GetDocRequest",docParams,data?[data.buffer]:null);let networkStream;
+if(rangeTransport)networkStream=new PDFDataTransportStream(rangeTransport,{disableRange,disableStream});else if(!data){if(!url2)throw new Error("getDocument - no `url` parameter provided.");const NetworkStream=isValidFetchUrl(url2)?PDFFetchStream:isNodeJS?PDFNodeStream:PDFNetworkStream;networkStream=new NetworkStream({url:url2,length,httpHeaders,withCredentials,rangeChunkSize,disableRange,disableStream})}return workerIdPromise.then(workerId=>{if(task.destroyed)throw new Error("Loading aborted");
+if(worker.destroyed)throw new Error("Worker was destroyed");const messageHandler=new MessageHandler(docId,workerId,worker.port),transport=new WorkerTransport(messageHandler,task,networkStream,transportParams,transportFactory,enableHWA);task._transport=transport,messageHandler.send("Ready",null)})}).catch(task._capability.reject),task}class PDFDocumentLoadingTask{static#docId=0;_capability=Promise.withResolvers();_transport=null;_worker=null;docId=`d${PDFDocumentLoadingTask.#docId++}`;destroyed=!1;onPassword=null;onProgress=null;get promise(){
+return this._capability.promise}async destroy(){this.destroyed=!0;try{this._worker?.port&&(this._worker._pendingDestroy=!0),await this._transport?.destroy()}catch(ex){throw this._worker?.port&&delete this._worker._pendingDestroy,ex}this._transport=null,this._worker?.destroy(),this._worker=null}async getData(){return this._transport.getData()}}class PDFDataRangeTransport{#capability=Promise.withResolvers();#progressiveDoneListeners=[];#progressiveReadListeners=[];#progressListeners=[];#rangeListeners=[];constructor(length,initialData,progressiveDone=!1,contentDispositionFilename=null){
+this.length=length,this.initialData=initialData,this.progressiveDone=progressiveDone,this.contentDispositionFilename=contentDispositionFilename}addRangeListener(listener){this.#rangeListeners.push(listener)}addProgressListener(listener){this.#progressListeners.push(listener)}addProgressiveReadListener(listener){this.#progressiveReadListeners.push(listener)}addProgressiveDoneListener(listener){this.#progressiveDoneListeners.push(listener)}onDataRange(begin,chunk){for(const listener of this.#rangeListeners)
+listener(begin,chunk)}onDataProgress(loaded,total){this.#capability.promise.then(()=>{for(const listener of this.#progressListeners)listener(loaded,total)})}onDataProgressiveRead(chunk){this.#capability.promise.then(()=>{for(const listener of this.#progressiveReadListeners)listener(chunk)})}onDataProgressiveDone(){this.#capability.promise.then(()=>{for(const listener of this.#progressiveDoneListeners)listener()})}transportReady(){this.#capability.resolve()}requestDataRange(begin,end){unreachable(
+"Abstract method PDFDataRangeTransport.requestDataRange")}abort(){}}class PDFDocumentProxy{constructor(pdfInfo,transport){this._pdfInfo=pdfInfo,this._transport=transport}get annotationStorage(){return this._transport.annotationStorage}get canvasFactory(){return this._transport.canvasFactory}get filterFactory(){return this._transport.filterFactory}get numPages(){return this._pdfInfo.numPages}get fingerprints(){return this._pdfInfo.fingerprints}get isPureXfa(){return shadow(this,"isPureXfa",!!this.
+_transport._htmlForXfa)}get allXfaHtml(){return this._transport._htmlForXfa}getPage(pageNumber){return this._transport.getPage(pageNumber)}getPageIndex(ref2){return this._transport.getPageIndex(ref2)}getDestinations(){return this._transport.getDestinations()}getDestination(id2){return this._transport.getDestination(id2)}getPageLabels(){return this._transport.getPageLabels()}getPageLayout(){return this._transport.getPageLayout()}getPageMode(){return this._transport.getPageMode()}getViewerPreferences(){
+return this._transport.getViewerPreferences()}getOpenAction(){return this._transport.getOpenAction()}getAttachments(){return this._transport.getAttachments()}getJSActions(){return this._transport.getDocJSActions()}getOutline(){return this._transport.getOutline()}getOptionalContentConfig({intent="display"}={}){const{renderingIntent}=this._transport.getRenderingIntent(intent);return this._transport.getOptionalContentConfig(renderingIntent)}getPermissions(){return this._transport.getPermissions()}getMetadata(){
+return this._transport.getMetadata()}getMarkInfo(){return this._transport.getMarkInfo()}getData(){return this._transport.getData()}saveDocument(){return this._transport.saveDocument()}getDownloadInfo(){return this._transport.downloadInfoCapability.promise}cleanup(keepLoadedFonts=!1){return this._transport.startCleanup(keepLoadedFonts||this.isPureXfa)}destroy(){return this.loadingTask.destroy()}cachedPageNumber(ref2){return this._transport.cachedPageNumber(ref2)}get loadingParams(){return this._transport.
+loadingParams}get loadingTask(){return this._transport.loadingTask}getFieldObjects(){return this._transport.getFieldObjects()}hasJSActions(){return this._transport.hasJSActions()}getCalculationOrderIds(){return this._transport.getCalculationOrderIds()}}class PDFPageProxy{#pendingCleanup=!1;constructor(pageIndex,pageInfo,transport,pdfBug=!1){this._pageIndex=pageIndex,this._pageInfo=pageInfo,this._transport=transport,this._stats=pdfBug?new StatTimer:null,this._pdfBug=pdfBug,this.commonObjs=transport.
+commonObjs,this.objs=new PDFObjects,this._intentStates=new Map,this.destroyed=!1}get pageNumber(){return this._pageIndex+1}get rotate(){return this._pageInfo.rotate}get ref(){return this._pageInfo.ref}get userUnit(){return this._pageInfo.userUnit}get view(){return this._pageInfo.view}getViewport({scale:scale2,rotation=this.rotate,offsetX=0,offsetY=0,dontFlip=!1}={}){return new PageViewport({viewBox:this.view,userUnit:this.userUnit,scale:scale2,rotation,offsetX,offsetY,dontFlip})}getAnnotations({
+intent="display"}={}){const{renderingIntent}=this._transport.getRenderingIntent(intent);return this._transport.getAnnotations(this._pageIndex,renderingIntent)}getJSActions(){return this._transport.getPageJSActions(this._pageIndex)}get filterFactory(){return this._transport.filterFactory}get isPureXfa(){return shadow(this,"isPureXfa",!!this._transport._htmlForXfa)}async getXfa(){return this._transport._htmlForXfa?.children[this._pageIndex]||null}render({canvasContext,canvas=canvasContext.canvas,viewport,
+intent="display",annotationMode=AnnotationMode.ENABLE,transform:transform2=null,background=null,optionalContentConfigPromise=null,annotationCanvasMap=null,pageColors=null,printAnnotationStorage=null,isEditing:isEditing2=!1}){this._stats?.time("Overall");const intentArgs=this._transport.getRenderingIntent(intent,annotationMode,printAnnotationStorage,isEditing2),{renderingIntent,cacheKey}=intentArgs;this.#pendingCleanup=!1,optionalContentConfigPromise||=this._transport.getOptionalContentConfig(renderingIntent);
+let intentState=this._intentStates.get(cacheKey);intentState||(intentState=Object.create(null),this._intentStates.set(cacheKey,intentState)),intentState.streamReaderCancelTimeout&&(clearTimeout(intentState.streamReaderCancelTimeout),intentState.streamReaderCancelTimeout=null);const intentPrint=!!(renderingIntent&RenderingIntentFlag.PRINT);intentState.displayReadyCapability||(intentState.displayReadyCapability=Promise.withResolvers(),intentState.operatorList={fnArray:[],argsArray:[],lastChunk:!1,
+separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(intentArgs));const complete=error2=>{intentState.renderTasks.delete(internalRenderTask),intentPrint&&(this.#pendingCleanup=!0),this.#tryCleanup(),error2?(internalRenderTask.capability.reject(error2),this._abortOperatorList({intentState,reason:error2 instanceof Error?error2:new Error(error2)})):internalRenderTask.capability.resolve(),this._stats&&(this._stats.timeEnd("Rendering"),this._stats.timeEnd("Overall"),globalThis.
+Stats?.enabled&&globalThis.Stats.add(this.pageNumber,this._stats))},internalRenderTask=new InternalRenderTask({callback:complete,params:{canvas,canvasContext,viewport,transform:transform2,background},objs:this.objs,commonObjs:this.commonObjs,annotationCanvasMap,operatorList:intentState.operatorList,pageIndex:this._pageIndex,canvasFactory:this._transport.canvasFactory,filterFactory:this._transport.filterFactory,useRequestAnimationFrame:!intentPrint,pdfBug:this._pdfBug,pageColors,enableHWA:this._transport.
+enableHWA});(intentState.renderTasks||=new Set).add(internalRenderTask);const renderTask=internalRenderTask.task;return Promise.all([intentState.displayReadyCapability.promise,optionalContentConfigPromise]).then(([transparency,optionalContentConfig])=>{if(this.destroyed){complete();return}if(this._stats?.time("Rendering"),!(optionalContentConfig.renderingIntent&renderingIntent))throw new Error("Must use the same `intent`-argument when calling the `PDFPageProxy.render` and `PDFDocumentProxy.getOp\
+tionalContentConfig` methods.");internalRenderTask.initializeGraphics({transparency,optionalContentConfig}),internalRenderTask.operatorListChanged()}).catch(complete),renderTask}getOperatorList({intent="display",annotationMode=AnnotationMode.ENABLE,printAnnotationStorage=null,isEditing:isEditing2=!1}={}){function operatorListChanged(){intentState.operatorList.lastChunk&&(intentState.opListReadCapability.resolve(intentState.operatorList),intentState.renderTasks.delete(opListTask))}const intentArgs=this.
+_transport.getRenderingIntent(intent,annotationMode,printAnnotationStorage,isEditing2,!0);let intentState=this._intentStates.get(intentArgs.cacheKey);intentState||(intentState=Object.create(null),this._intentStates.set(intentArgs.cacheKey,intentState));let opListTask;return intentState.opListReadCapability||(opListTask=Object.create(null),opListTask.operatorListChanged=operatorListChanged,intentState.opListReadCapability=Promise.withResolvers(),(intentState.renderTasks||=new Set).add(opListTask),
+intentState.operatorList={fnArray:[],argsArray:[],lastChunk:!1,separateAnnots:null},this._stats?.time("Page Request"),this._pumpOperatorList(intentArgs)),intentState.opListReadCapability.promise}streamTextContent({includeMarkedContent=!1,disableNormalization=!1}={}){return this._transport.messageHandler.sendWithStream("GetTextContent",{pageIndex:this._pageIndex,includeMarkedContent:includeMarkedContent===!0,disableNormalization:disableNormalization===!0},{highWaterMark:100,size(textContent){return textContent.
+items.length}})}getTextContent(params={}){if(this._transport._htmlForXfa)return this.getXfa().then(xfa=>XfaText.textContent(xfa));const readableStream=this.streamTextContent(params);return new Promise(function(resolve2,reject){function pump(){reader.read().then(function({value,done}){if(done){resolve2(textContent);return}textContent.lang??=value.lang,Object.assign(textContent.styles,value.styles),textContent.items.push(...value.items),pump()},reject)}const reader=readableStream.getReader(),textContent={
+items:[],styles:Object.create(null),lang:null};pump()})}getStructTree(){return this._transport.getStructTree(this._pageIndex)}_destroy(){this.destroyed=!0;const waitOn=[];for(const intentState of this._intentStates.values())if(this._abortOperatorList({intentState,reason:new Error("Page was destroyed."),force:!0}),!intentState.opListReadCapability)for(const internalRenderTask of intentState.renderTasks)waitOn.push(internalRenderTask.completed),internalRenderTask.cancel();return this.objs.clear(),
+this.#pendingCleanup=!1,Promise.all(waitOn)}cleanup(resetStats=!1){this.#pendingCleanup=!0;const success=this.#tryCleanup();return resetStats&&success&&(this._stats&&=new StatTimer),success}#tryCleanup(){if(!this.#pendingCleanup||this.destroyed)return!1;for(const{renderTasks,operatorList}of this._intentStates.values())if(renderTasks.size>0||!operatorList.lastChunk)return!1;return this._intentStates.clear(),this.objs.clear(),this.#pendingCleanup=!1,!0}_startRenderPage(transparency,cacheKey){const intentState=this.
+_intentStates.get(cacheKey);intentState&&(this._stats?.timeEnd("Page Request"),intentState.displayReadyCapability?.resolve(transparency))}_renderPageChunk(operatorListChunk,intentState){for(let i=0,ii=operatorListChunk.length;i<ii;i++)intentState.operatorList.fnArray.push(operatorListChunk.fnArray[i]),intentState.operatorList.argsArray.push(operatorListChunk.argsArray[i]);intentState.operatorList.lastChunk=operatorListChunk.lastChunk,intentState.operatorList.separateAnnots=operatorListChunk.separateAnnots;
+for(const internalRenderTask of intentState.renderTasks)internalRenderTask.operatorListChanged();operatorListChunk.lastChunk&&this.#tryCleanup()}_pumpOperatorList({renderingIntent,cacheKey,annotationStorageSerializable,modifiedIds}){const{map:map2,transfer}=annotationStorageSerializable,reader=this._transport.messageHandler.sendWithStream("GetOperatorList",{pageIndex:this._pageIndex,intent:renderingIntent,cacheKey,annotationStorage:map2,modifiedIds},transfer).getReader(),intentState=this._intentStates.
+get(cacheKey);intentState.streamReader=reader;const pump=()=>{reader.read().then(({value,done})=>{if(done){intentState.streamReader=null;return}this._transport.destroyed||(this._renderPageChunk(value,intentState),pump())},reason=>{if(intentState.streamReader=null,!this._transport.destroyed){if(intentState.operatorList){intentState.operatorList.lastChunk=!0;for(const internalRenderTask of intentState.renderTasks)internalRenderTask.operatorListChanged();this.#tryCleanup()}if(intentState.displayReadyCapability)
+intentState.displayReadyCapability.reject(reason);else if(intentState.opListReadCapability)intentState.opListReadCapability.reject(reason);else throw reason}})};pump()}_abortOperatorList({intentState,reason,force=!1}){if(intentState.streamReader){if(intentState.streamReaderCancelTimeout&&(clearTimeout(intentState.streamReaderCancelTimeout),intentState.streamReaderCancelTimeout=null),!force){if(intentState.renderTasks.size>0)return;if(reason instanceof RenderingCancelledException){let delay=RENDERING_CANCELLED_TIMEOUT;
+reason.extraDelay>0&&reason.extraDelay<1e3&&(delay+=reason.extraDelay),intentState.streamReaderCancelTimeout=setTimeout(()=>{intentState.streamReaderCancelTimeout=null,this._abortOperatorList({intentState,reason,force:!0})},delay);return}}if(intentState.streamReader.cancel(new AbortException(reason.message)).catch(()=>{}),intentState.streamReader=null,!this._transport.destroyed){for(const[curCacheKey,curIntentState]of this._intentStates)if(curIntentState===intentState){this._intentStates.delete(
+curCacheKey);break}this.cleanup()}}}get stats(){return this._stats}}var _capability,_messageHandler,_port,_webWorker,_fakeWorkerId,_isWorkerDisabled,_workerPorts,_PDFWorker_instances,resolve_fn,initializeFromPort_fn,initialize_fn,setupFakeWorker_fn,_PDFWorker_static,mainThreadWorkerMessageHandler_get;const _PDFWorker=class _PDFWorker{constructor({name=null,port=null,verbosity:verbosity2=getVerbosityLevel()}={}){__privateAdd(this,_PDFWorker_instances);__privateAdd(this,_capability,Promise.withResolvers());
+__privateAdd(this,_messageHandler,null);__privateAdd(this,_port,null);__privateAdd(this,_webWorker,null);if(this.name=name,this.destroyed=!1,this.verbosity=verbosity2,port){if(__privateGet(_PDFWorker,_workerPorts).has(port))throw new Error("Cannot use more than one PDFWorker per port.");__privateGet(_PDFWorker,_workerPorts).set(port,this),__privateMethod(this,_PDFWorker_instances,initializeFromPort_fn).call(this,port)}else __privateMethod(this,_PDFWorker_instances,initialize_fn).call(this)}get promise(){
+return __privateGet(this,_capability).promise}get port(){return __privateGet(this,_port)}get messageHandler(){return __privateGet(this,_messageHandler)}destroy(){this.destroyed=!0,__privateGet(this,_webWorker)?.terminate(),__privateSet(this,_webWorker,null),__privateGet(_PDFWorker,_workerPorts).delete(__privateGet(this,_port)),__privateSet(this,_port,null),__privateGet(this,_messageHandler)?.destroy(),__privateSet(this,_messageHandler,null)}static create(params){const cachedPort=__privateGet(this,
+_workerPorts).get(params?.port);if(cachedPort){if(cachedPort._pendingDestroy)throw new Error("PDFWorker.create - the worker is being destroyed.\nPlease remember to await `PDFDocumentLoadingTask.destroy()`-calls.");return cachedPort}return new _PDFWorker(params)}static get workerSrc(){if(GlobalWorkerOptions.workerSrc)return GlobalWorkerOptions.workerSrc;throw new Error('No "GlobalWorkerOptions.workerSrc" specified.')}static get _setupFakeWorkerGlobal(){return shadow(this,"_setupFakeWorkerGlobal",
+(async()=>__privateGet(this,_PDFWorker_static,mainThreadWorkerMessageHandler_get)?__privateGet(this,_PDFWorker_static,mainThreadWorkerMessageHandler_get):(await import(this.workerSrc)).WorkerMessageHandler)())}};_capability=new WeakMap,_messageHandler=new WeakMap,_port=new WeakMap,_webWorker=new WeakMap,_fakeWorkerId=new WeakMap,_isWorkerDisabled=new WeakMap,_workerPorts=new WeakMap,_PDFWorker_instances=new WeakSet,resolve_fn=function(){__privateGet(this,_capability).resolve(),__privateGet(this,
+_messageHandler).send("configure",{verbosity:this.verbosity})},initializeFromPort_fn=function(port){__privateSet(this,_port,port),__privateSet(this,_messageHandler,new MessageHandler("main","worker",port)),__privateGet(this,_messageHandler).on("ready",()=>{}),__privateMethod(this,_PDFWorker_instances,resolve_fn).call(this)},initialize_fn=function(){if(__privateGet(_PDFWorker,_isWorkerDisabled)||__privateGet(_PDFWorker,_PDFWorker_static,mainThreadWorkerMessageHandler_get)){__privateMethod(this,_PDFWorker_instances,
+setupFakeWorker_fn).call(this);return}let{workerSrc}=_PDFWorker;try{_PDFWorker._isSameOrigin(window.location,workerSrc)||(workerSrc=_PDFWorker._createCDNWrapper(new URL(workerSrc,window.location).href));const worker=new Worker(workerSrc,{type:"module"}),messageHandler=new MessageHandler("main","worker",worker),terminateEarly=()=>{ac.abort(),messageHandler.destroy(),worker.terminate(),this.destroyed?__privateGet(this,_capability).reject(new Error("Worker was destroyed")):__privateMethod(this,_PDFWorker_instances,
+setupFakeWorker_fn).call(this)},ac=new AbortController;worker.addEventListener("error",()=>{__privateGet(this,_webWorker)||terminateEarly()},{signal:ac.signal}),messageHandler.on("test",data=>{if(ac.abort(),this.destroyed||!data){terminateEarly();return}__privateSet(this,_messageHandler,messageHandler),__privateSet(this,_port,worker),__privateSet(this,_webWorker,worker),__privateMethod(this,_PDFWorker_instances,resolve_fn).call(this)}),messageHandler.on("ready",data=>{if(ac.abort(),this.destroyed){
+terminateEarly();return}try{sendTest()}catch{__privateMethod(this,_PDFWorker_instances,setupFakeWorker_fn).call(this)}});const sendTest=()=>{const testObj=new Uint8Array;messageHandler.send("test",testObj,[testObj.buffer])};sendTest();return}catch{info("The worker has been disabled.")}__privateMethod(this,_PDFWorker_instances,setupFakeWorker_fn).call(this)},setupFakeWorker_fn=function(){__privateGet(_PDFWorker,_isWorkerDisabled)||(warn("Setting up fake worker."),__privateSet(_PDFWorker,_isWorkerDisabled,
+!0)),_PDFWorker._setupFakeWorkerGlobal.then(WorkerMessageHandler=>{if(this.destroyed){__privateGet(this,_capability).reject(new Error("Worker was destroyed"));return}const port=new LoopbackPort;__privateSet(this,_port,port);const id2=`fake${__privateWrapper(_PDFWorker,_fakeWorkerId)._++}`,workerHandler=new MessageHandler(id2+"_worker",id2,port);WorkerMessageHandler.setup(workerHandler,port),__privateSet(this,_messageHandler,new MessageHandler(id2,id2+"_worker",port)),__privateMethod(this,_PDFWorker_instances,
+resolve_fn).call(this)}).catch(reason=>{__privateGet(this,_capability).reject(new Error(`Setting up fake worker failed: "${reason.message}".`))})},_PDFWorker_static=new WeakSet,mainThreadWorkerMessageHandler_get=function(){try{return globalThis.pdfjsWorker?.WorkerMessageHandler||null}catch{return null}},__privateAdd(_PDFWorker,_PDFWorker_static),__privateAdd(_PDFWorker,_fakeWorkerId,0),__privateAdd(_PDFWorker,_isWorkerDisabled,!1),__privateAdd(_PDFWorker,_workerPorts,new WeakMap),isNodeJS&&(__privateSet(
+_PDFWorker,_isWorkerDisabled,!0),GlobalWorkerOptions.workerSrc||="./pdf.worker.mjs"),_PDFWorker._isSameOrigin=(baseUrl,otherUrl)=>{const base2=URL.parse(baseUrl);if(!base2?.origin||base2.origin==="null")return!1;const other=new URL(otherUrl,base2);return base2.origin===other.origin},_PDFWorker._createCDNWrapper=url2=>{const wrapper=`await import("${url2}");`;return URL.createObjectURL(new Blob([wrapper],{type:"text/javascript"}))},_PDFWorker.fromPort=params=>{if(deprecated("`PDFWorker.fromPort` \
+- please use `PDFWorker.create` instead."),!params?.port)throw new Error("PDFWorker.fromPort - invalid method signature.");return _PDFWorker.create(params)};let PDFWorker=_PDFWorker;class WorkerTransport{#methodPromises=new Map;#pageCache=new Map;#pagePromises=new Map;#pageRefCache=new Map;#passwordCapability=null;constructor(messageHandler,loadingTask,networkStream,params,factory,enableHWA){this.messageHandler=messageHandler,this.loadingTask=loadingTask,this.commonObjs=new PDFObjects,this.fontLoader=
+new FontLoader({ownerDocument:params.ownerDocument,styleElement:params.styleElement}),this.loadingParams=params.loadingParams,this._params=params,this.canvasFactory=factory.canvasFactory,this.filterFactory=factory.filterFactory,this.cMapReaderFactory=factory.cMapReaderFactory,this.standardFontDataFactory=factory.standardFontDataFactory,this.wasmFactory=factory.wasmFactory,this.destroyed=!1,this.destroyCapability=null,this._networkStream=networkStream,this._fullReader=null,this._lastProgress=null,
+this.downloadInfoCapability=Promise.withResolvers(),this.enableHWA=enableHWA,this.setupMessageHandler()}#cacheSimpleMethod(name,data=null){const cachedPromise=this.#methodPromises.get(name);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise(name,data);return this.#methodPromises.set(name,promise),promise}get annotationStorage(){return shadow(this,"annotationStorage",new AnnotationStorage)}getRenderingIntent(intent,annotationMode=AnnotationMode.ENABLE,printAnnotationStorage=null,isEditing2=!1,isOpList=!1){
+let renderingIntent=RenderingIntentFlag.DISPLAY,annotationStorageSerializable=SerializableEmpty;switch(intent){case"any":renderingIntent=RenderingIntentFlag.ANY;break;case"display":break;case"print":renderingIntent=RenderingIntentFlag.PRINT;break;default:warn(`getRenderingIntent - invalid intent: ${intent}`)}const annotationStorage=renderingIntent&RenderingIntentFlag.PRINT&&printAnnotationStorage instanceof PrintAnnotationStorage?printAnnotationStorage:this.annotationStorage;switch(annotationMode){case AnnotationMode.
+DISABLE:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_DISABLE;break;case AnnotationMode.ENABLE:break;case AnnotationMode.ENABLE_FORMS:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_FORMS;break;case AnnotationMode.ENABLE_STORAGE:renderingIntent+=RenderingIntentFlag.ANNOTATIONS_STORAGE,annotationStorageSerializable=annotationStorage.serializable;break;default:warn(`getRenderingIntent - invalid annotationMode: ${annotationMode}`)}isEditing2&&(renderingIntent+=RenderingIntentFlag.IS_EDITING),isOpList&&
+(renderingIntent+=RenderingIntentFlag.OPLIST);const{ids:modifiedIds,hash:modifiedIdsHash}=annotationStorage.modifiedIds,cacheKeyBuf=[renderingIntent,annotationStorageSerializable.hash,modifiedIdsHash];return{renderingIntent,cacheKey:cacheKeyBuf.join("_"),annotationStorageSerializable,modifiedIds}}destroy(){if(this.destroyCapability)return this.destroyCapability.promise;this.destroyed=!0,this.destroyCapability=Promise.withResolvers(),this.#passwordCapability?.reject(new Error("Worker was destroye\
+d during onPassword callback"));const waitOn=[];for(const page2 of this.#pageCache.values())waitOn.push(page2._destroy());this.#pageCache.clear(),this.#pagePromises.clear(),this.#pageRefCache.clear(),this.hasOwnProperty("annotationStorage")&&this.annotationStorage.resetModified();const terminated=this.messageHandler.sendWithPromise("Terminate",null);return waitOn.push(terminated),Promise.all(waitOn).then(()=>{this.commonObjs.clear(),this.fontLoader.clear(),this.#methodPromises.clear(),this.filterFactory.
+destroy(),TextLayer.cleanup(),this._networkStream?.cancelAllRequests(new AbortException("Worker was terminated.")),this.messageHandler?.destroy(),this.messageHandler=null,this.destroyCapability.resolve()},this.destroyCapability.reject),this.destroyCapability.promise}setupMessageHandler(){const{messageHandler,loadingTask}=this;messageHandler.on("GetReader",(data,sink)=>{assert$1(this._networkStream,"GetReader - no `IPDFStream` instance available."),this._fullReader=this._networkStream.getFullReader(),
+this._fullReader.onProgress=evt=>{this._lastProgress={loaded:evt.loaded,total:evt.total}},sink.onPull=()=>{this._fullReader.read().then(function({value,done}){if(done){sink.close();return}assert$1(value instanceof ArrayBuffer,"GetReader - expected an ArrayBuffer."),sink.enqueue(new Uint8Array(value),1,[value])}).catch(reason=>{sink.error(reason)})},sink.onCancel=reason=>{this._fullReader.cancel(reason),sink.ready.catch(readyReason=>{if(!this.destroyed)throw readyReason})}}),messageHandler.on("Re\
+aderHeadersReady",async data=>{await this._fullReader.headersReady;const{isStreamingSupported,isRangeSupported,contentLength}=this._fullReader;return(!isStreamingSupported||!isRangeSupported)&&(this._lastProgress&&loadingTask.onProgress?.(this._lastProgress),this._fullReader.onProgress=evt=>{loadingTask.onProgress?.({loaded:evt.loaded,total:evt.total})}),{isStreamingSupported,isRangeSupported,contentLength}}),messageHandler.on("GetRangeReader",(data,sink)=>{assert$1(this._networkStream,"GetRange\
+Reader - no `IPDFStream` instance available.");const rangeReader=this._networkStream.getRangeReader(data.begin,data.end);if(!rangeReader){sink.close();return}sink.onPull=()=>{rangeReader.read().then(function({value,done}){if(done){sink.close();return}assert$1(value instanceof ArrayBuffer,"GetRangeReader - expected an ArrayBuffer."),sink.enqueue(new Uint8Array(value),1,[value])}).catch(reason=>{sink.error(reason)})},sink.onCancel=reason=>{rangeReader.cancel(reason),sink.ready.catch(readyReason=>{
+if(!this.destroyed)throw readyReason})}}),messageHandler.on("GetDoc",({pdfInfo})=>{this._numPages=pdfInfo.numPages,this._htmlForXfa=pdfInfo.htmlForXfa,delete pdfInfo.htmlForXfa,loadingTask._capability.resolve(new PDFDocumentProxy(pdfInfo,this))}),messageHandler.on("DocException",ex=>{loadingTask._capability.reject(wrapReason(ex))}),messageHandler.on("PasswordRequest",ex=>{this.#passwordCapability=Promise.withResolvers();try{if(!loadingTask.onPassword)throw wrapReason(ex);const updatePassword=password=>{
+password instanceof Error?this.#passwordCapability.reject(password):this.#passwordCapability.resolve({password})};loadingTask.onPassword(updatePassword,ex.code)}catch(err){this.#passwordCapability.reject(err)}return this.#passwordCapability.promise}),messageHandler.on("DataLoaded",data=>{loadingTask.onProgress?.({loaded:data.length,total:data.length}),this.downloadInfoCapability.resolve(data)}),messageHandler.on("StartRenderPage",data=>{if(this.destroyed)return;this.#pageCache.get(data.pageIndex).
+_startRenderPage(data.transparency,data.cacheKey)}),messageHandler.on("commonobj",([id2,type2,exportedData])=>{if(this.destroyed||this.commonObjs.has(id2))return null;switch(type2){case"Font":if("error"in exportedData){const exportedError=exportedData.error;warn(`Error during font loading: ${exportedError}`),this.commonObjs.resolve(id2,exportedError);break}const inspectFont=this._params.pdfBug&&globalThis.FontInspector?.enabled?(font2,url2)=>globalThis.FontInspector.fontAdded(font2,url2):null,font=new FontFaceObject(
+exportedData,inspectFont);this.fontLoader.bind(font).catch(()=>messageHandler.sendWithPromise("FontFallback",{id:id2})).finally(()=>{!font.fontExtraProperties&&font.data&&(font.data=null),this.commonObjs.resolve(id2,font)});break;case"CopyLocalImage":const{imageRef}=exportedData;assert$1(imageRef,"The imageRef must be defined.");for(const pageProxy of this.#pageCache.values())for(const[,data]of pageProxy.objs)if(data?.ref===imageRef)return data.dataLen?(this.commonObjs.resolve(id2,structuredClone(
+data)),data.dataLen):null;break;case"FontPath":case"Image":case"Pattern":this.commonObjs.resolve(id2,exportedData);break;default:throw new Error(`Got unknown common object type ${type2}`)}return null}),messageHandler.on("obj",([id2,pageIndex,type2,imageData])=>{if(this.destroyed)return;const pageProxy=this.#pageCache.get(pageIndex);if(!pageProxy.objs.has(id2)){if(pageProxy._intentStates.size===0){imageData?.bitmap?.close();return}switch(type2){case"Image":case"Pattern":pageProxy.objs.resolve(id2,
+imageData);break;default:throw new Error(`Got unknown object type ${type2}`)}}}),messageHandler.on("DocProgress",data=>{this.destroyed||loadingTask.onProgress?.({loaded:data.loaded,total:data.total})}),messageHandler.on("FetchBinaryData",async data=>{if(this.destroyed)throw new Error("Worker was destroyed.");const factory=this[data.type];if(!factory)throw new Error(`${data.type} not initialized, see the \`useWorkerFetch\` parameter.`);return factory.fetch(data)})}getData(){return this.messageHandler.
+sendWithPromise("GetData",null)}saveDocument(){this.annotationStorage.size<=0&&warn("saveDocument called while `annotationStorage` is empty, please use the getData-method instead.");const{map:map2,transfer}=this.annotationStorage.serializable;return this.messageHandler.sendWithPromise("SaveDocument",{isPureXfa:!!this._htmlForXfa,numPages:this._numPages,annotationStorage:map2,filename:this._fullReader?.filename??null},transfer).finally(()=>{this.annotationStorage.resetModified()})}getPage(pageNumber){
+if(!Number.isInteger(pageNumber)||pageNumber<=0||pageNumber>this._numPages)return Promise.reject(new Error("Invalid page request."));const pageIndex=pageNumber-1,cachedPromise=this.#pagePromises.get(pageIndex);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise("GetPage",{pageIndex}).then(pageInfo=>{if(this.destroyed)throw new Error("Transport destroyed");pageInfo.refStr&&this.#pageRefCache.set(pageInfo.refStr,pageNumber);const page2=new PDFPageProxy(pageIndex,
+pageInfo,this,this._params.pdfBug);return this.#pageCache.set(pageIndex,page2),page2});return this.#pagePromises.set(pageIndex,promise),promise}getPageIndex(ref2){return isRefProxy(ref2)?this.messageHandler.sendWithPromise("GetPageIndex",{num:ref2.num,gen:ref2.gen}):Promise.reject(new Error("Invalid pageIndex request."))}getAnnotations(pageIndex,intent){return this.messageHandler.sendWithPromise("GetAnnotations",{pageIndex,intent})}getFieldObjects(){return this.#cacheSimpleMethod("GetFieldObject\
+s")}hasJSActions(){return this.#cacheSimpleMethod("HasJSActions")}getCalculationOrderIds(){return this.messageHandler.sendWithPromise("GetCalculationOrderIds",null)}getDestinations(){return this.messageHandler.sendWithPromise("GetDestinations",null)}getDestination(id2){return typeof id2!="string"?Promise.reject(new Error("Invalid destination request.")):this.messageHandler.sendWithPromise("GetDestination",{id:id2})}getPageLabels(){return this.messageHandler.sendWithPromise("GetPageLabels",null)}getPageLayout(){
+return this.messageHandler.sendWithPromise("GetPageLayout",null)}getPageMode(){return this.messageHandler.sendWithPromise("GetPageMode",null)}getViewerPreferences(){return this.messageHandler.sendWithPromise("GetViewerPreferences",null)}getOpenAction(){return this.messageHandler.sendWithPromise("GetOpenAction",null)}getAttachments(){return this.messageHandler.sendWithPromise("GetAttachments",null)}getDocJSActions(){return this.#cacheSimpleMethod("GetDocJSActions")}getPageJSActions(pageIndex){return this.
+messageHandler.sendWithPromise("GetPageJSActions",{pageIndex})}getStructTree(pageIndex){return this.messageHandler.sendWithPromise("GetStructTree",{pageIndex})}getOutline(){return this.messageHandler.sendWithPromise("GetOutline",null)}getOptionalContentConfig(renderingIntent){return this.#cacheSimpleMethod("GetOptionalContentConfig").then(data=>new OptionalContentConfig(data,renderingIntent))}getPermissions(){return this.messageHandler.sendWithPromise("GetPermissions",null)}getMetadata(){const name="\
+GetMetadata",cachedPromise=this.#methodPromises.get(name);if(cachedPromise)return cachedPromise;const promise=this.messageHandler.sendWithPromise(name,null).then(results=>({info:results[0],metadata:results[1]?new Metadata(results[1]):null,contentDispositionFilename:this._fullReader?.filename??null,contentLength:this._fullReader?.contentLength??null}));return this.#methodPromises.set(name,promise),promise}getMarkInfo(){return this.messageHandler.sendWithPromise("GetMarkInfo",null)}async startCleanup(keepLoadedFonts=!1){
+if(!this.destroyed){await this.messageHandler.sendWithPromise("Cleanup",null);for(const page2 of this.#pageCache.values())if(!page2.cleanup())throw new Error(`startCleanup: Page ${page2.pageNumber} is currently rendering.`);this.commonObjs.clear(),keepLoadedFonts||this.fontLoader.clear(),this.#methodPromises.clear(),this.filterFactory.destroy(!0),TextLayer.cleanup()}}cachedPageNumber(ref2){if(!isRefProxy(ref2))return null;const refStr=ref2.gen===0?`${ref2.num}R`:`${ref2.num}R${ref2.gen}`;return this.#pageRefCache.
+get(refStr)??null}}class RenderTask{#internalRenderTask=null;onContinue=null;onError=null;constructor(internalRenderTask){this.#internalRenderTask=internalRenderTask}get promise(){return this.#internalRenderTask.capability.promise}cancel(extraDelay=0){this.#internalRenderTask.cancel(null,extraDelay)}get separateAnnots(){const{separateAnnots}=this.#internalRenderTask.operatorList;if(!separateAnnots)return!1;const{annotationCanvasMap}=this.#internalRenderTask;return separateAnnots.form||separateAnnots.
+canvas&&annotationCanvasMap?.size>0}}class InternalRenderTask{#rAF=null;static#canvasInUse=new WeakSet;constructor({callback,params,objs,commonObjs,annotationCanvasMap,operatorList,pageIndex,canvasFactory,filterFactory,useRequestAnimationFrame=!1,pdfBug=!1,pageColors=null,enableHWA=!1}){this.callback=callback,this.params=params,this.objs=objs,this.commonObjs=commonObjs,this.annotationCanvasMap=annotationCanvasMap,this.operatorListIdx=null,this.operatorList=operatorList,this._pageIndex=pageIndex,
+this.canvasFactory=canvasFactory,this.filterFactory=filterFactory,this._pdfBug=pdfBug,this.pageColors=pageColors,this.running=!1,this.graphicsReadyCallback=null,this.graphicsReady=!1,this._useRequestAnimationFrame=useRequestAnimationFrame===!0&&typeof window<"u",this.cancelled=!1,this.capability=Promise.withResolvers(),this.task=new RenderTask(this),this._cancelBound=this.cancel.bind(this),this._continueBound=this._continue.bind(this),this._scheduleNextBound=this._scheduleNext.bind(this),this._nextBound=
+this._next.bind(this),this._canvas=params.canvas,this._canvasContext=params.canvas?null:params.canvasContext,this._enableHWA=enableHWA}get completed(){return this.capability.promise.catch(function(){})}initializeGraphics({transparency=!1,optionalContentConfig}){if(this.cancelled)return;if(this._canvas){if(InternalRenderTask.#canvasInUse.has(this._canvas))throw new Error("Cannot use the same canvas during multiple render() operations. Use different canvas or ensure previous operations were cancel\
+led or completed.");InternalRenderTask.#canvasInUse.add(this._canvas)}this._pdfBug&&globalThis.StepperManager?.enabled&&(this.stepper=globalThis.StepperManager.create(this._pageIndex),this.stepper.init(this.operatorList),this.stepper.nextBreakPoint=this.stepper.getNextBreakPoint());const{viewport,transform:transform2,background}=this.params,canvasContext=this._canvasContext||this._canvas.getContext("2d",{alpha:!1,willReadFrequently:!this._enableHWA});this.gfx=new CanvasGraphics(canvasContext,this.
+commonObjs,this.objs,this.canvasFactory,this.filterFactory,{optionalContentConfig},this.annotationCanvasMap,this.pageColors),this.gfx.beginDrawing({transform:transform2,viewport,transparency,background}),this.operatorListIdx=0,this.graphicsReady=!0,this.graphicsReadyCallback?.()}cancel(error2=null,extraDelay=0){this.running=!1,this.cancelled=!0,this.gfx?.endDrawing(),this.#rAF&&(window.cancelAnimationFrame(this.#rAF),this.#rAF=null),InternalRenderTask.#canvasInUse.delete(this._canvas),error2||=new RenderingCancelledException(
+`Rendering cancelled, page ${this._pageIndex+1}`,extraDelay),this.callback(error2),this.task.onError?.(error2)}operatorListChanged(){if(!this.graphicsReady){this.graphicsReadyCallback||=this._continueBound;return}this.stepper?.updateOperatorList(this.operatorList),!this.running&&this._continue()}_continue(){this.running=!0,!this.cancelled&&(this.task.onContinue?this.task.onContinue(this._scheduleNextBound):this._scheduleNext())}_scheduleNext(){this._useRequestAnimationFrame?this.#rAF=window.requestAnimationFrame(
+()=>{this.#rAF=null,this._nextBound().catch(this._cancelBound)}):Promise.resolve().then(this._nextBound).catch(this._cancelBound)}async _next(){this.cancelled||(this.operatorListIdx=this.gfx.executeOperatorList(this.operatorList,this.operatorListIdx,this._continueBound,this.stepper),this.operatorListIdx===this.operatorList.argsArray.length&&(this.running=!1,this.operatorList.lastChunk&&(this.gfx.endDrawing(),InternalRenderTask.#canvasInUse.delete(this._canvas),this.callback())))}}const version$1="\
+5.4.54",build="295fb3ec4";class ColorPicker{#button=null;#buttonSwatch=null;#defaultColor;#dropdown=null;#dropdownWasFromKeyboard=!1;#isMainColorPicker=!1;#editor=null;#eventBus;#openDropdownAC=null;#uiManager=null;static#l10nColor=null;static get _keyboardManager(){return shadow(this,"_keyboardManager",new KeyboardManager([[["Escape","mac+Escape"],ColorPicker.prototype._hideDropdownFromKeyboard],[[" ","mac+ "],ColorPicker.prototype._colorSelectFromKeyboard],[["ArrowDown","ArrowRight","mac+Arrow\
+Down","mac+ArrowRight"],ColorPicker.prototype._moveToNext],[["ArrowUp","ArrowLeft","mac+ArrowUp","mac+ArrowLeft"],ColorPicker.prototype._moveToPrevious],[["Home","mac+Home"],ColorPicker.prototype._moveToBeginning],[["End","mac+End"],ColorPicker.prototype._moveToEnd]]))}constructor({editor=null,uiManager=null}){editor?(this.#isMainColorPicker=!1,this.#editor=editor):this.#isMainColorPicker=!0,this.#uiManager=editor?._uiManager||uiManager,this.#eventBus=this.#uiManager._eventBus,this.#defaultColor=
+editor?.color?.toUpperCase()||this.#uiManager?.highlightColors.values().next().value||"#FFFF98",ColorPicker.#l10nColor||=Object.freeze({blue:"pdfjs-editor-colorpicker-blue",green:"pdfjs-editor-colorpicker-green",pink:"pdfjs-editor-colorpicker-pink",red:"pdfjs-editor-colorpicker-red",yellow:"pdfjs-editor-colorpicker-yellow"})}renderButton(){const button=this.#button=document.createElement("button");button.className="colorPicker",button.tabIndex="0",button.setAttribute("data-l10n-id","pdfjs-editor\
+-colorpicker-button"),button.ariaHasPopup="true",this.#editor&&(button.ariaControls=`${this.#editor.id}_colorpicker_dropdown`);const signal=this.#uiManager._signal;button.addEventListener("click",this.#openDropdown.bind(this),{signal}),button.addEventListener("keydown",this.#keyDown.bind(this),{signal});const swatch=this.#buttonSwatch=document.createElement("span");return swatch.className="swatch",swatch.ariaHidden="true",swatch.style.backgroundColor=this.#defaultColor,button.append(swatch),button}renderMainDropdown(){
+const dropdown=this.#dropdown=this.#getDropdownRoot();return dropdown.ariaOrientation="horizontal",dropdown.ariaLabelledBy="highlightColorPickerLabel",dropdown}#getDropdownRoot(){const div=document.createElement("div"),signal=this.#uiManager._signal;div.addEventListener("contextmenu",noContextMenu,{signal}),div.className="dropdown",div.role="listbox",div.ariaMultiSelectable="false",div.ariaOrientation="vertical",div.setAttribute("data-l10n-id","pdfjs-editor-colorpicker-dropdown"),this.#editor&&(div.
+id=`${this.#editor.id}_colorpicker_dropdown`);for(const[name,color]of this.#uiManager.highlightColors){const button=document.createElement("button");button.tabIndex="0",button.role="option",button.setAttribute("data-color",color),button.title=name,button.setAttribute("data-l10n-id",ColorPicker.#l10nColor[name]);const swatch=document.createElement("span");button.append(swatch),swatch.className="swatch",swatch.style.backgroundColor=color,button.ariaSelected=color===this.#defaultColor,button.addEventListener(
+"click",this.#colorSelect.bind(this,color),{signal}),div.append(button)}return div.addEventListener("keydown",this.#keyDown.bind(this),{signal}),div}#colorSelect(color,event2){event2.stopPropagation(),this.#eventBus.dispatch("switchannotationeditorparams",{source:this,type:AnnotationEditorParamsType.HIGHLIGHT_COLOR,value:color}),this.updateColor(color)}_colorSelectFromKeyboard(event2){if(event2.target===this.#button){this.#openDropdown(event2);return}const color=event2.target.getAttribute("data-\
+color");color&&this.#colorSelect(color,event2)}_moveToNext(event2){if(!this.#isDropdownVisible){this.#openDropdown(event2);return}if(event2.target===this.#button){this.#dropdown.firstChild?.focus();return}event2.target.nextSibling?.focus()}_moveToPrevious(event2){if(event2.target===this.#dropdown?.firstChild||event2.target===this.#button){this.#isDropdownVisible&&this._hideDropdownFromKeyboard();return}this.#isDropdownVisible||this.#openDropdown(event2),event2.target.previousSibling?.focus()}_moveToBeginning(event2){
+if(!this.#isDropdownVisible){this.#openDropdown(event2);return}this.#dropdown.firstChild?.focus()}_moveToEnd(event2){if(!this.#isDropdownVisible){this.#openDropdown(event2);return}this.#dropdown.lastChild?.focus()}#keyDown(event2){ColorPicker._keyboardManager.exec(this,event2)}#openDropdown(event2){if(this.#isDropdownVisible){this.hideDropdown();return}if(this.#dropdownWasFromKeyboard=event2.detail===0,this.#openDropdownAC||(this.#openDropdownAC=new AbortController,window.addEventListener("point\
+erdown",this.#pointerDown.bind(this),{signal:this.#uiManager.combinedSignal(this.#openDropdownAC)})),this.#button.ariaExpanded="true",this.#dropdown){this.#dropdown.classList.remove("hidden");return}const root2=this.#dropdown=this.#getDropdownRoot();this.#button.append(root2)}#pointerDown(event2){this.#dropdown?.contains(event2.target)||this.hideDropdown()}hideDropdown(){this.#dropdown?.classList.add("hidden"),this.#button.ariaExpanded="false",this.#openDropdownAC?.abort(),this.#openDropdownAC=null}get#isDropdownVisible(){
+return this.#dropdown&&!this.#dropdown.classList.contains("hidden")}_hideDropdownFromKeyboard(){if(!this.#isMainColorPicker){if(!this.#isDropdownVisible){this.#editor?.unselect();return}this.hideDropdown(),this.#button.focus({preventScroll:!0,focusVisible:this.#dropdownWasFromKeyboard})}}updateColor(color){if(this.#buttonSwatch&&(this.#buttonSwatch.style.backgroundColor=color),!this.#dropdown)return;const i=this.#uiManager.highlightColors.values();for(const child2 of this.#dropdown.children)child2.
+ariaSelected=i.next().value===color.toUpperCase()}destroy(){this.#button?.remove(),this.#button=null,this.#buttonSwatch=null,this.#dropdown?.remove(),this.#dropdown=null}}class BasicColorPicker{#input=null;#editor=null;#uiManager=null;static#l10nColor=null;constructor(editor){this.#editor=editor,this.#uiManager=editor._uiManager,BasicColorPicker.#l10nColor||=Object.freeze({freetext:"pdfjs-editor-color-picker-free-text-input",ink:"pdfjs-editor-color-picker-ink-input"})}renderButton(){if(this.#input)
+return this.#input;const{editorType,colorType,colorValue}=this.#editor,input=this.#input=document.createElement("input");return input.type="color",input.value=colorValue||"#000000",input.className="basicColorPicker",input.tabIndex=0,input.setAttribute("data-l10n-id",BasicColorPicker.#l10nColor[editorType]),input.addEventListener("input",()=>{this.#uiManager.updateParams(colorType,input.value)},{signal:this.#uiManager._signal}),input}update(value){this.#input&&(this.#input.value=value)}destroy(){
+this.#input?.remove(),this.#input=null}hideDropdown(){}}function makeColorComp(n){return Math.floor(Math.max(0,Math.min(1,n))*255).toString(16).padStart(2,"0")}function scaleAndClamp(x){return Math.max(0,Math.min(255,255*x))}class ColorConverters{static CMYK_G([c2,y,m,k]){return["G",1-Math.min(1,.3*c2+.59*m+.11*y+k)]}static G_CMYK([g]){return["CMYK",0,0,0,1-g]}static G_RGB([g]){return["RGB",g,g,g]}static G_rgb([g]){return g=scaleAndClamp(g),[g,g,g]}static G_HTML([g]){const G=makeColorComp(g);return`\
+#${G}${G}${G}`}static RGB_G([r2,g,b]){return["G",.3*r2+.59*g+.11*b]}static RGB_rgb(color){return color.map(scaleAndClamp)}static RGB_HTML(color){return`#${color.map(makeColorComp).join("")}`}static T_HTML(){return"#00000000"}static T_rgb(){return[null]}static CMYK_RGB([c2,y,m,k]){return["RGB",1-Math.min(1,c2+k),1-Math.min(1,m+k),1-Math.min(1,y+k)]}static CMYK_rgb([c2,y,m,k]){return[scaleAndClamp(1-Math.min(1,c2+k)),scaleAndClamp(1-Math.min(1,m+k)),scaleAndClamp(1-Math.min(1,y+k))]}static CMYK_HTML(components2){
+const rgb=this.CMYK_RGB(components2).slice(1);return this.RGB_HTML(rgb)}static RGB_CMYK([r2,g,b]){const c2=1-r2,m=1-g,y=1-b,k=Math.min(c2,m,y);return["CMYK",c2,m,y,k]}}class BaseSVGFactory{create(width,height,skipDimensions=!1){if(width<=0||height<=0)throw new Error("Invalid SVG dimensions");const svg2=this._createSVG("svg:svg");return svg2.setAttribute("version","1.1"),skipDimensions||(svg2.setAttribute("width",`${width}px`),svg2.setAttribute("height",`${height}px`)),svg2.setAttribute("preserve\
+AspectRatio","none"),svg2.setAttribute("viewBox",`0 0 ${width} ${height}`),svg2}createElement(type2){if(typeof type2!="string")throw new Error("Invalid SVG element type");return this._createSVG(type2)}_createSVG(type2){unreachable("Abstract method `_createSVG` called.")}}class DOMSVGFactory extends BaseSVGFactory{_createSVG(type2){return document.createElementNS(SVG_NS,type2)}}class XfaLayer{static setupStorage(html2,id2,element2,storage,intent){const storedData=storage.getValue(id2,{value:null});
+switch(element2.name){case"textarea":if(storedData.value!==null&&(html2.textContent=storedData.value),intent==="print")break;html2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value})});break;case"input":if(element2.attributes.type==="radio"||element2.attributes.type==="checkbox"){if(storedData.value===element2.attributes.xfaOn?html2.setAttribute("checked",!0):storedData.value===element2.attributes.xfaOff&&html2.removeAttribute("checked"),intent==="print")break;html2.
+addEventListener("change",event2=>{storage.setValue(id2,{value:event2.target.checked?event2.target.getAttribute("xfaOn"):event2.target.getAttribute("xfaOff")})})}else{if(storedData.value!==null&&html2.setAttribute("value",storedData.value),intent==="print")break;html2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value})})}break;case"select":if(storedData.value!==null){html2.setAttribute("value",storedData.value);for(const option2 of element2.children)option2.attributes.
+value===storedData.value?option2.attributes.selected=!0:option2.attributes.hasOwnProperty("selected")&&delete option2.attributes.selected}html2.addEventListener("input",event2=>{const options=event2.target.options,value=options.selectedIndex===-1?"":options[options.selectedIndex].value;storage.setValue(id2,{value})});break}}static setAttributes({html:html2,element:element2,storage=null,intent,linkService}){const{attributes}=element2,isHTMLAnchorElement=html2 instanceof HTMLAnchorElement;attributes.
+type==="radio"&&(attributes.name=`${attributes.name}-${intent}`);for(const[key2,value]of Object.entries(attributes))if(value!=null)switch(key2){case"class":value.length&&html2.setAttribute(key2,value.join(" "));break;case"dataId":break;case"id":html2.setAttribute("data-element-id",value);break;case"style":Object.assign(html2.style,value);break;case"textContent":html2.textContent=value;break;default:(!isHTMLAnchorElement||key2!=="href"&&key2!=="newWindow")&&html2.setAttribute(key2,value)}isHTMLAnchorElement&&
+linkService.addLinkAttributes(html2,attributes.href,attributes.newWindow),storage&&attributes.dataId&&this.setupStorage(html2,attributes.dataId,element2,storage)}static render(parameters){const storage=parameters.annotationStorage,linkService=parameters.linkService,root2=parameters.xfaHtml,intent=parameters.intent||"display",rootHtml=document.createElement(root2.name);root2.attributes&&this.setAttributes({html:rootHtml,element:root2,intent,linkService});const isNotForRichText=intent!=="richText",
+rootDiv=parameters.div;if(rootDiv.append(rootHtml),parameters.viewport){const transform2=`matrix(${parameters.viewport.transform.join(",")})`;rootDiv.style.transform=transform2}isNotForRichText&&rootDiv.setAttribute("class","xfaLayer xfaFont");const textDivs=[];if(root2.children.length===0){if(root2.value){const node2=document.createTextNode(root2.value);rootHtml.append(node2),isNotForRichText&&XfaText.shouldBuildText(root2.name)&&textDivs.push(node2)}return{textDivs}}const stack=[[root2,-1,rootHtml]];
+for(;stack.length>0;){const[parent,i,html2]=stack.at(-1);if(i+1===parent.children.length){stack.pop();continue}const child2=parent.children[++stack.at(-1)[1]];if(child2===null)continue;const{name}=child2;if(name==="#text"){const node2=document.createTextNode(child2.value);textDivs.push(node2),html2.append(node2);continue}const childHtml=child2?.attributes?.xmlns?document.createElementNS(child2.attributes.xmlns,name):document.createElement(name);if(html2.append(childHtml),child2.attributes&&this.
+setAttributes({html:childHtml,element:child2,storage,intent,linkService}),child2.children?.length>0)stack.push([child2,-1,childHtml]);else if(child2.value){const node2=document.createTextNode(child2.value);isNotForRichText&&XfaText.shouldBuildText(name)&&textDivs.push(node2),childHtml.append(node2)}}for(const el of rootDiv.querySelectorAll(".xfaNonInteractive input, .xfaNonInteractive textarea"))el.setAttribute("readOnly",!0);return{textDivs}}static update(parameters){const transform2=`matrix(${parameters.
+viewport.transform.join(",")})`;parameters.div.style.transform=transform2,parameters.div.hidden=!1}}const annotation_layer_DEFAULT_FONT_SIZE=9,GetElementsByNameSet=new WeakSet,TIMEZONE_OFFSET=new Date().getTimezoneOffset()*60*1e3;class AnnotationElementFactory{static create(parameters){switch(parameters.data.annotationType){case AnnotationType.LINK:return new LinkAnnotationElement(parameters);case AnnotationType.TEXT:return new TextAnnotationElement(parameters);case AnnotationType.WIDGET:switch(parameters.
+data.fieldType){case"Tx":return new TextWidgetAnnotationElement(parameters);case"Btn":return parameters.data.radioButton?new RadioButtonWidgetAnnotationElement(parameters):parameters.data.checkBox?new CheckboxWidgetAnnotationElement(parameters):new PushButtonWidgetAnnotationElement(parameters);case"Ch":return new ChoiceWidgetAnnotationElement(parameters);case"Sig":return new SignatureWidgetAnnotationElement(parameters)}return new WidgetAnnotationElement(parameters);case AnnotationType.POPUP:return new PopupAnnotationElement(
+parameters);case AnnotationType.FREETEXT:return new FreeTextAnnotationElement(parameters);case AnnotationType.LINE:return new LineAnnotationElement(parameters);case AnnotationType.SQUARE:return new SquareAnnotationElement(parameters);case AnnotationType.CIRCLE:return new CircleAnnotationElement(parameters);case AnnotationType.POLYLINE:return new PolylineAnnotationElement(parameters);case AnnotationType.CARET:return new CaretAnnotationElement(parameters);case AnnotationType.INK:return new InkAnnotationElement(
+parameters);case AnnotationType.POLYGON:return new PolygonAnnotationElement(parameters);case AnnotationType.HIGHLIGHT:return new HighlightAnnotationElement(parameters);case AnnotationType.UNDERLINE:return new UnderlineAnnotationElement(parameters);case AnnotationType.SQUIGGLY:return new SquigglyAnnotationElement(parameters);case AnnotationType.STRIKEOUT:return new StrikeOutAnnotationElement(parameters);case AnnotationType.STAMP:return new StampAnnotationElement(parameters);case AnnotationType.FILEATTACHMENT:
+return new FileAttachmentAnnotationElement(parameters);default:return new AnnotationElement(parameters)}}}class AnnotationElement{#updates=null;#hasBorder=!1;#popupElement=null;constructor(parameters,{isRenderable=!1,ignoreBorder=!1,createQuadrilaterals=!1}={}){this.isRenderable=isRenderable,this.data=parameters.data,this.layer=parameters.layer,this.linkService=parameters.linkService,this.downloadManager=parameters.downloadManager,this.imageResourcesPath=parameters.imageResourcesPath,this.renderForms=
+parameters.renderForms,this.svgFactory=parameters.svgFactory,this.annotationStorage=parameters.annotationStorage,this.enableScripting=parameters.enableScripting,this.hasJSActions=parameters.hasJSActions,this._fieldObjects=parameters.fieldObjects,this.parent=parameters.parent,isRenderable&&(this.container=this._createContainer(ignoreBorder)),createQuadrilaterals&&this._createQuadrilaterals()}static _hasPopupData({contentsObj,richText}){return!!(contentsObj?.str||richText?.str)}get _isEditable(){return this.
+data.isEditable}get hasPopupData(){return AnnotationElement._hasPopupData(this.data)}updateEdited(params){if(!this.container)return;params.rect&&(this.#updates||={rect:this.data.rect.slice(0)});const{rect,popup:newPopup}=params;rect&&this.#setRectEdited(rect);let popup=this.#popupElement?.popup||this.popup;!popup&&newPopup?.text&&(this._createPopup(newPopup),popup=this.#popupElement.popup),popup&&(popup.updateEdited(params),newPopup?.deleted&&(popup.remove(),this.#popupElement=null,this.popup=null))}resetEdited(){
+this.#updates&&(this.#setRectEdited(this.#updates.rect),this.#popupElement?.popup.resetEdited(),this.#updates=null)}#setRectEdited(rect){const{container:{style:style2},data:{rect:currentRect,rotation},parent:{viewport:{rawDims:{pageWidth,pageHeight,pageX,pageY}}}}=this;currentRect?.splice(0,4,...rect),style2.left=`${100*(rect[0]-pageX)/pageWidth}%`,style2.top=`${100*(pageHeight-rect[3]+pageY)/pageHeight}%`,rotation===0?(style2.width=`${100*(rect[2]-rect[0])/pageWidth}%`,style2.height=`${100*(rect[3]-
+rect[1])/pageHeight}%`):this.setRotation(rotation)}_createContainer(ignoreBorder){const{data,parent:{page:page2,viewport}}=this,container2=document.createElement("section");container2.setAttribute("data-annotation-id",data.id),!(this instanceof WidgetAnnotationElement)&&!(this instanceof LinkAnnotationElement)&&(container2.tabIndex=0);const{style:style2}=container2;if(style2.zIndex=this.parent.zIndex++,data.alternativeText&&(container2.title=data.alternativeText),data.noRotate&&container2.classList.
+add("norotate"),!data.rect||this instanceof PopupAnnotationElement){const{rotation:rotation2}=data;return!data.hasOwnCanvas&&rotation2!==0&&this.setRotation(rotation2,container2),container2}const{width,height}=this;if(!ignoreBorder&&data.borderStyle.width>0){style2.borderWidth=`${data.borderStyle.width}px`;const horizontalRadius=data.borderStyle.horizontalCornerRadius,verticalRadius=data.borderStyle.verticalCornerRadius;if(horizontalRadius>0||verticalRadius>0){const radius=`calc(${horizontalRadius}\
+px * var(--total-scale-factor)) / calc(${verticalRadius}px * var(--total-scale-factor))`;style2.borderRadius=radius}else if(this instanceof RadioButtonWidgetAnnotationElement){const radius=`calc(${width}px * var(--total-scale-factor)) / calc(${height}px * var(--total-scale-factor))`;style2.borderRadius=radius}switch(data.borderStyle.style){case AnnotationBorderStyleType.SOLID:style2.borderStyle="solid";break;case AnnotationBorderStyleType.DASHED:style2.borderStyle="dashed";break;case AnnotationBorderStyleType.
+BEVELED:warn("Unimplemented border style: beveled");break;case AnnotationBorderStyleType.INSET:warn("Unimplemented border style: inset");break;case AnnotationBorderStyleType.UNDERLINE:style2.borderBottomStyle="solid";break}const borderColor=data.borderColor||null;borderColor?(this.#hasBorder=!0,style2.borderColor=Util.makeHexColor(borderColor[0]|0,borderColor[1]|0,borderColor[2]|0)):style2.borderWidth=0}const rect=Util.normalizeRect([data.rect[0],page2.view[3]-data.rect[1]+page2.view[1],data.rect[2],
+page2.view[3]-data.rect[3]+page2.view[1]]),{pageWidth,pageHeight,pageX,pageY}=viewport.rawDims;style2.left=`${100*(rect[0]-pageX)/pageWidth}%`,style2.top=`${100*(rect[1]-pageY)/pageHeight}%`;const{rotation}=data;return data.hasOwnCanvas||rotation===0?(style2.width=`${100*width/pageWidth}%`,style2.height=`${100*height/pageHeight}%`):this.setRotation(rotation,container2),container2}setRotation(angle,container2=this.container){if(!this.data.rect)return;const{pageWidth,pageHeight}=this.parent.viewport.
+rawDims;let{width,height}=this;angle%180!==0&&([width,height]=[height,width]),container2.style.width=`${100*width/pageWidth}%`,container2.style.height=`${100*height/pageHeight}%`,container2.setAttribute("data-main-rotation",(360-angle)%360)}get _commonActions(){const setColor=(jsName,styleName,event2)=>{const color=event2.detail[jsName],colorType=color[0],colorArray=color.slice(1);event2.target.style[styleName]=ColorConverters[`${colorType}_HTML`](colorArray),this.annotationStorage.setValue(this.
+data.id,{[styleName]:ColorConverters[`${colorType}_rgb`](colorArray)})};return shadow(this,"_commonActions",{display:event2=>{const{display}=event2.detail,hidden2=display%2===1;this.container.style.visibility=hidden2?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noView:hidden2,noPrint:display===1||display===2})},print:event2=>{this.annotationStorage.setValue(this.data.id,{noPrint:!event2.detail.print})},hidden:event2=>{const{hidden:hidden2}=event2.detail;this.container.style.visibility=
+hidden2?"hidden":"visible",this.annotationStorage.setValue(this.data.id,{noPrint:hidden2,noView:hidden2})},focus:event2=>{setTimeout(()=>event2.target.focus({preventScroll:!1}),0)},userName:event2=>{event2.target.title=event2.detail.userName},readonly:event2=>{event2.target.disabled=event2.detail.readonly},required:event2=>{this._setRequired(event2.target,event2.detail.required)},bgColor:event2=>{setColor("bgColor","backgroundColor",event2)},fillColor:event2=>{setColor("fillColor","backgroundCol\
+or",event2)},fgColor:event2=>{setColor("fgColor","color",event2)},textColor:event2=>{setColor("textColor","color",event2)},borderColor:event2=>{setColor("borderColor","borderColor",event2)},strokeColor:event2=>{setColor("strokeColor","borderColor",event2)},rotation:event2=>{const angle=event2.detail.rotation;this.setRotation(angle),this.annotationStorage.setValue(this.data.id,{rotation:angle})}})}_dispatchEventFromSandbox(actions,jsEvent){const commonActions=this._commonActions;for(const name of Object.
+keys(jsEvent.detail))(actions[name]||commonActions[name])?.(jsEvent)}_setDefaultPropertiesFromJS(element2){if(!this.enableScripting)return;const storedData=this.annotationStorage.getRawValue(this.data.id);if(!storedData)return;const commonActions=this._commonActions;for(const[actionName,detail]of Object.entries(storedData)){const action2=commonActions[actionName];if(action2){const eventProxy={detail:{[actionName]:detail},target:element2};action2(eventProxy),delete storedData[actionName]}}}_createQuadrilaterals(){
+if(!this.container)return;const{quadPoints}=this.data;if(!quadPoints)return;const[rectBlX,rectBlY,rectTrX,rectTrY]=this.data.rect.map(x=>Math.fround(x));if(quadPoints.length===8){const[trX,trY,blX,blY]=quadPoints.subarray(2,6);if(rectTrX===trX&&rectTrY===trY&&rectBlX===blX&&rectBlY===blY)return}const{style:style2}=this.container;let svgBuffer;if(this.#hasBorder){const{borderColor,borderWidth}=style2;style2.borderWidth=0,svgBuffer=["url('data:image/svg+xml;utf8,",'<svg xmlns="http://www.w3.org/20\
+00/svg"',' preserveAspectRatio="none" viewBox="0 0 1 1">',`<g fill="transparent" stroke="${borderColor}" stroke-width="${borderWidth}">`],this.container.classList.add("hasBorder")}const width=rectTrX-rectBlX,height=rectTrY-rectBlY,{svgFactory}=this,svg2=svgFactory.createElement("svg");svg2.classList.add("quadrilateralsContainer"),svg2.setAttribute("width",0),svg2.setAttribute("height",0),svg2.role="none";const defs=svgFactory.createElement("defs");svg2.append(defs);const clipPath=svgFactory.createElement(
+"clipPath"),id2=`clippath_${this.data.id}`;clipPath.setAttribute("id",id2),clipPath.setAttribute("clipPathUnits","objectBoundingBox"),defs.append(clipPath);for(let i=2,ii=quadPoints.length;i<ii;i+=8){const trX=quadPoints[i],trY=quadPoints[i+1],blX=quadPoints[i+2],blY=quadPoints[i+3],rect=svgFactory.createElement("rect"),x=(blX-rectBlX)/width,y=(rectTrY-trY)/height,rectWidth=(trX-blX)/width,rectHeight=(trY-blY)/height;rect.setAttribute("x",x),rect.setAttribute("y",y),rect.setAttribute("width",rectWidth),
+rect.setAttribute("height",rectHeight),clipPath.append(rect),svgBuffer?.push(`<rect vector-effect="non-scaling-stroke" x="${x}" y="${y}" width="${rectWidth}" height="${rectHeight}"/>`)}this.#hasBorder&&(svgBuffer.push("</g></svg>')"),style2.backgroundImage=svgBuffer.join("")),this.container.append(svg2),this.container.style.clipPath=`url(#${id2})`}_createPopup(popupData=null){const{data}=this;let contentsObj,modificationDate;popupData?(contentsObj={str:popupData.text},modificationDate=popupData.
+date):(contentsObj=data.contentsObj,modificationDate=data.modificationDate);const popup=this.#popupElement=new PopupAnnotationElement({data:{color:data.color,titleObj:data.titleObj,modificationDate,contentsObj,richText:data.richText,parentRect:data.rect,borderStyle:0,id:`popup_${data.id}`,rotation:data.rotation,noRotate:!0},linkService:this.linkService,parent:this.parent,elements:[this]});this.parent.div.append(popup.render())}get hasPopupElement(){return!!(this.#popupElement||this.popup||this.data.
+popupRef)}render(){unreachable("Abstract method `AnnotationElement.render` called")}_getElementsByName(name,skipId=null){const fields=[];if(this._fieldObjects){const fieldObj=this._fieldObjects[name];if(fieldObj)for(const{page:page2,id:id2,exportValues}of fieldObj){if(page2===-1||id2===skipId)continue;const exportValue=typeof exportValues=="string"?exportValues:null,domElement=document.querySelector(`[data-element-id="${id2}"]`);if(domElement&&!GetElementsByNameSet.has(domElement)){warn(`_getEle\
+mentsByName - element not allowed: ${id2}`);continue}fields.push({id:id2,exportValue,domElement})}return fields}for(const domElement of document.getElementsByName(name)){const{exportValue}=domElement,id2=domElement.getAttribute("data-element-id");id2!==skipId&&GetElementsByNameSet.has(domElement)&&fields.push({id:id2,exportValue,domElement})}return fields}show(){this.container&&(this.container.hidden=!1),this.popup?.maybeShow()}hide(){this.container&&(this.container.hidden=!0),this.popup?.forceHide()}getElementsToTriggerPopup(){
+return this.container}addHighlightArea(){const triggers=this.getElementsToTriggerPopup();if(Array.isArray(triggers))for(const element2 of triggers)element2.classList.add("highlightArea");else triggers.classList.add("highlightArea")}_editOnDoubleClick(){if(!this._isEditable)return;const{annotationEditorType:mode,data:{id:editId}}=this;this.container.addEventListener("dblclick",()=>{this.linkService.eventBus?.dispatch("switchannotationeditormode",{source:this,mode,editId,mustEnterInEditMode:!0})})}get width(){
+return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class LinkAnnotationElement extends AnnotationElement{constructor(parameters,options=null){super(parameters,{isRenderable:!0,ignoreBorder:!!options?.ignoreBorder,createQuadrilaterals:!0}),this.isTooltipOnly=parameters.data.isTooltipOnly}render(){const{data,linkService}=this,link2=document.createElement("a");link2.setAttribute("data-element-id",data.id);let isBound=!1;return data.url?(linkService.addLinkAttributes(
+link2,data.url,data.newWindow),isBound=!0):data.action?(this._bindNamedAction(link2,data.action,data.overlaidText),isBound=!0):data.attachment?(this.#bindAttachment(link2,data.attachment,data.overlaidText,data.attachmentDest),isBound=!0):data.setOCGState?(this.#bindSetOCGState(link2,data.setOCGState,data.overlaidText),isBound=!0):data.dest?(this._bindLink(link2,data.dest,data.overlaidText),isBound=!0):(data.actions&&(data.actions.Action||data.actions["Mouse Up"]||data.actions["Mouse Down"])&&this.
+enableScripting&&this.hasJSActions&&(this._bindJSAction(link2,data),isBound=!0),data.resetForm?(this._bindResetFormAction(link2,data.resetForm),isBound=!0):this.isTooltipOnly&&!isBound&&(this._bindLink(link2,""),isBound=!0)),this.container.classList.add("linkAnnotation"),isBound&&this.container.append(link2),this.container}#setInternalLink(){this.container.setAttribute("data-internal-link","")}_bindLink(link2,destination,overlaidText=""){link2.href=this.linkService.getDestinationHash(destination),
+link2.onclick=()=>(destination&&this.linkService.goToDestination(destination),!1),(destination||destination==="")&&this.#setInternalLink(),overlaidText&&(link2.title=overlaidText)}_bindNamedAction(link2,action2,overlaidText=""){link2.href=this.linkService.getAnchorUrl(""),link2.onclick=()=>(this.linkService.executeNamedAction(action2),!1),overlaidText&&(link2.title=overlaidText),this.#setInternalLink()}#bindAttachment(link2,attachment,overlaidText="",dest=null){link2.href=this.linkService.getAnchorUrl(
+""),attachment.description?link2.title=attachment.description:overlaidText&&(link2.title=overlaidText),link2.onclick=()=>(this.downloadManager?.openOrDownloadData(attachment.content,attachment.filename,dest),!1),this.#setInternalLink()}#bindSetOCGState(link2,action2,overlaidText=""){link2.href=this.linkService.getAnchorUrl(""),link2.onclick=()=>(this.linkService.executeSetOCGState(action2),!1),overlaidText&&(link2.title=overlaidText),this.#setInternalLink()}_bindJSAction(link2,data){link2.href=this.
+linkService.getAnchorUrl("");const map2=new Map([["Action","onclick"],["Mouse Up","onmouseup"],["Mouse Down","onmousedown"]]);for(const name of Object.keys(data.actions)){const jsName=map2.get(name);jsName&&(link2[jsName]=()=>(this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:data.id,name}}),!1))}data.overlaidText&&(link2.title=data.overlaidText),link2.onclick||(link2.onclick=()=>!1),this.#setInternalLink()}_bindResetFormAction(link2,resetForm){const otherClickAction=link2.
+onclick;if(otherClickAction||(link2.href=this.linkService.getAnchorUrl("")),this.#setInternalLink(),!this._fieldObjects){warn('_bindResetFormAction - "resetForm" action not supported, ensure that the `fieldObjects` parameter is provided.'),otherClickAction||(link2.onclick=()=>!1);return}link2.onclick=()=>{otherClickAction?.();const{fields:resetFormFields,refs:resetFormRefs,include}=resetForm,allFields=[];if(resetFormFields.length!==0||resetFormRefs.length!==0){const fieldIds=new Set(resetFormRefs);
+for(const fieldName of resetFormFields){const fields=this._fieldObjects[fieldName]||[];for(const{id:id2}of fields)fieldIds.add(id2)}for(const fields of Object.values(this._fieldObjects))for(const field of fields)fieldIds.has(field.id)===include&&allFields.push(field)}else for(const fields of Object.values(this._fieldObjects))allFields.push(...fields);const storage=this.annotationStorage,allIds=[];for(const field of allFields){const{id:id2}=field;switch(allIds.push(id2),field.type){case"text":{const value=field.
+defaultValue||"";storage.setValue(id2,{value});break}case"checkbox":case"radiobutton":{const value=field.defaultValue===field.exportValues;storage.setValue(id2,{value});break}case"combobox":case"listbox":{const value=field.defaultValue||"";storage.setValue(id2,{value});break}default:continue}const domElement=document.querySelector(`[data-element-id="${id2}"]`);if(domElement){if(!GetElementsByNameSet.has(domElement)){warn(`_bindResetFormAction - element not allowed: ${id2}`);continue}}else continue;
+domElement.dispatchEvent(new Event("resetform"))}return this.enableScripting&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:"app",ids:allIds,name:"ResetForm"}}),!1}}}class TextAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0})}render(){this.container.classList.add("textAnnotation");const image2=document.createElement("img");return image2.src=this.imageResourcesPath+"annotation-"+this.data.name.toLowerCase()+
+".svg",image2.setAttribute("data-l10n-id","pdfjs-text-annotation-type"),image2.setAttribute("data-l10n-args",JSON.stringify({type:this.data.name})),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container.append(image2),this.container}}class WidgetAnnotationElement extends AnnotationElement{render(){return this.container}showElementAndHideCanvas(element2){this.data.hasOwnCanvas&&(element2.previousSibling?.nodeName==="CANVAS"&&(element2.previousSibling.hidden=!0),element2.hidden=
+!1)}_getKeyModifier(event2){return util_FeatureTest.platform.isMac?event2.metaKey:event2.ctrlKey}_setEventListener(element2,elementData,baseName,eventName,valueGetter){baseName.includes("mouse")?element2.addEventListener(baseName,event2=>{this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:eventName,value:valueGetter(event2),shift:event2.shiftKey,modifier:this._getKeyModifier(event2)}})}):element2.addEventListener(baseName,event2=>{if(baseName===
+"blur"){if(!elementData.focused||!event2.relatedTarget)return;elementData.focused=!1}else if(baseName==="focus"){if(elementData.focused)return;elementData.focused=!0}valueGetter&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:this.data.id,name:eventName,value:valueGetter(event2)}})})}_setEventListeners(element2,elementData,names2,getter){for(const[baseName,eventName]of names2)(eventName==="Action"||this.data.actions?.[eventName])&&((eventName==="Focus"||eventName===
+"Blur")&&(elementData||={focused:!1}),this._setEventListener(element2,elementData,baseName,eventName,getter),eventName==="Focus"&&!this.data.actions?.Blur?this._setEventListener(element2,elementData,"blur","Blur",null):eventName==="Blur"&&!this.data.actions?.Focus&&this._setEventListener(element2,elementData,"focus","Focus",null))}_setBackgroundColor(element2){const color=this.data.backgroundColor||null;element2.style.backgroundColor=color===null?"transparent":Util.makeHexColor(color[0],color[1],
+color[2])}_setTextStyle(element2){const TEXT_ALIGNMENT=["left","center","right"],{fontColor}=this.data.defaultAppearanceData,fontSize=this.data.defaultAppearanceData.fontSize||annotation_layer_DEFAULT_FONT_SIZE,style2=element2.style;let computedFontSize;const BORDER_SIZE=2,roundToOneDecimal=x=>Math.round(10*x)/10;if(this.data.multiLine){const height=Math.abs(this.data.rect[3]-this.data.rect[1]-BORDER_SIZE),numberOfLines=Math.round(height/(LINE_FACTOR*fontSize))||1,lineHeight=height/numberOfLines;
+computedFontSize=Math.min(fontSize,roundToOneDecimal(lineHeight/LINE_FACTOR))}else{const height=Math.abs(this.data.rect[3]-this.data.rect[1]-BORDER_SIZE);computedFontSize=Math.min(fontSize,roundToOneDecimal(height/LINE_FACTOR))}style2.fontSize=`calc(${computedFontSize}px * var(--total-scale-factor))`,style2.color=Util.makeHexColor(fontColor[0],fontColor[1],fontColor[2]),this.data.textAlignment!==null&&(style2.textAlign=TEXT_ALIGNMENT[this.data.textAlignment])}_setRequired(element2,isRequired){isRequired?
+element2.setAttribute("required",!0):element2.removeAttribute("required"),element2.setAttribute("aria-required",isRequired)}}class TextWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){const isRenderable=parameters.renderForms||parameters.data.hasOwnCanvas||!parameters.data.hasAppearance&&!!parameters.data.fieldValue;super(parameters,{isRenderable})}setPropertyOnSiblings(base2,key2,value,keyInStorage){const storage=this.annotationStorage;for(const element2 of this._getElementsByName(
+base2.name,base2.id))element2.domElement&&(element2.domElement[key2]=value),storage.setValue(element2.id,{[keyInStorage]:value})}render(){const storage=this.annotationStorage,id2=this.data.id;this.container.classList.add("textWidgetAnnotation");let element2=null;if(this.renderForms){const storedData=storage.getValue(id2,{value:this.data.fieldValue});let textContent=storedData.value||"";const maxLen=storage.getValue(id2,{charLimit:this.data.maxLen}).charLimit;maxLen&&textContent.length>maxLen&&(textContent=
+textContent.slice(0,maxLen));let fieldFormattedValues=storedData.formattedValue||this.data.textContent?.join(`
+`)||null;fieldFormattedValues&&this.data.comb&&(fieldFormattedValues=fieldFormattedValues.replaceAll(/\s+/g,""));const elementData={userValue:textContent,formattedValue:fieldFormattedValues,lastCommittedValue:null,commitKey:1,focused:!1};this.data.multiLine?(element2=document.createElement("textarea"),element2.textContent=fieldFormattedValues??textContent,this.data.doNotScroll&&(element2.style.overflowY="hidden")):(element2=document.createElement("input"),element2.type=this.data.password?"passwo\
+rd":"text",element2.setAttribute("value",fieldFormattedValues??textContent),this.data.doNotScroll&&(element2.style.overflowX="hidden")),this.data.hasOwnCanvas&&(element2.hidden=!0),GetElementsByNameSet.add(element2),element2.setAttribute("data-element-id",id2),element2.disabled=this.data.readOnly,element2.name=this.data.fieldName,element2.tabIndex=0;const{datetimeFormat,datetimeType,timeStep}=this.data,hasDateOrTime=!!datetimeType&&this.enableScripting;datetimeFormat&&(element2.title=datetimeFormat),
+this._setRequired(element2,this.data.required),maxLen&&(element2.maxLength=maxLen),element2.addEventListener("input",event2=>{storage.setValue(id2,{value:event2.target.value}),this.setPropertyOnSiblings(element2,"value",event2.target.value,"value"),elementData.formattedValue=null}),element2.addEventListener("resetform",event2=>{const defaultValue=this.data.defaultFieldValue??"";element2.value=elementData.userValue=defaultValue,elementData.formattedValue=null});let blurListener=event2=>{const{formattedValue}=elementData;
+formattedValue!=null&&(event2.target.value=formattedValue),event2.target.scrollLeft=0};if(this.enableScripting&&this.hasJSActions){element2.addEventListener("focus",event2=>{if(elementData.focused)return;const{target:target2}=event2;if(hasDateOrTime&&(target2.type=datetimeType,timeStep&&(target2.step=timeStep)),elementData.userValue){const value=elementData.userValue;if(hasDateOrTime)if(datetimeType==="time"){const date2=new Date(value),parts=[date2.getHours(),date2.getMinutes(),date2.getSeconds()];
+target2.value=parts.map(v=>v.toString().padStart(2,"0")).join(":")}else target2.value=new Date(value-TIMEZONE_OFFSET).toISOString().split(datetimeType==="date"?"T":".",1)[0];else target2.value=value}elementData.lastCommittedValue=target2.value,elementData.commitKey=1,this.data.actions?.Focus||(elementData.focused=!0)}),element2.addEventListener("updatefromsandbox",jsEvent=>{this.showElementAndHideCanvas(jsEvent.target);const actions={value(event2){elementData.userValue=event2.detail.value??"",hasDateOrTime||
+storage.setValue(id2,{value:elementData.userValue.toString()}),event2.target.value=elementData.userValue},formattedValue(event2){const{formattedValue}=event2.detail;elementData.formattedValue=formattedValue,formattedValue!=null&&event2.target!==document.activeElement&&(event2.target.value=formattedValue);const data={formattedValue};hasDateOrTime&&(data.value=formattedValue),storage.setValue(id2,data)},selRange(event2){event2.target.setSelectionRange(...event2.detail.selRange)},charLimit:event2=>{
+const{charLimit}=event2.detail,{target:target2}=event2;if(charLimit===0){target2.removeAttribute("maxLength");return}target2.setAttribute("maxLength",charLimit);let value=elementData.userValue;!value||value.length<=charLimit||(value=value.slice(0,charLimit),target2.value=elementData.userValue=value,storage.setValue(id2,{value}),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey:1,selStart:target2.selectionStart,
+selEnd:target2.selectionEnd}}))}};this._dispatchEventFromSandbox(actions,jsEvent)}),element2.addEventListener("keydown",event2=>{elementData.commitKey=1;let commitKey=-1;if(event2.key==="Escape"?commitKey=0:event2.key==="Enter"&&!this.data.multiLine?commitKey=2:event2.key==="Tab"&&(elementData.commitKey=3),commitKey===-1)return;const{value}=event2.target;elementData.lastCommittedValue!==value&&(elementData.lastCommittedValue=value,elementData.userValue=value,this.linkService.eventBus?.dispatch("\
+dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey,selStart:event2.target.selectionStart,selEnd:event2.target.selectionEnd}}))});const _blurListener=blurListener;blurListener=null,element2.addEventListener("blur",event2=>{if(!elementData.focused||!event2.relatedTarget)return;this.data.actions?.Blur||(elementData.focused=!1);const{target:target2}=event2;let{value}=target2;if(hasDateOrTime){if(value&&datetimeType==="time"){const parts=value.split(":").
+map(v=>parseInt(v,10));value=new Date(2e3,0,1,parts[0],parts[1],parts[2]||0).valueOf(),target2.step=""}else value=new Date(value).valueOf();target2.type="text"}elementData.userValue=value,elementData.lastCommittedValue!==value&&this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,willCommit:!0,commitKey:elementData.commitKey,selStart:event2.target.selectionStart,selEnd:event2.target.selectionEnd}}),_blurListener(event2)}),this.data.actions?.
+Keystroke&&element2.addEventListener("beforeinput",event2=>{elementData.lastCommittedValue=null;const{data,target:target2}=event2,{value,selectionStart,selectionEnd}=target2;let selStart=selectionStart,selEnd=selectionEnd;switch(event2.inputType){case"deleteWordBackward":{const match=value.substring(0,selectionStart).match(/\w*[^\w]*$/);match&&(selStart-=match[0].length);break}case"deleteWordForward":{const match=value.substring(selectionStart).match(/^[^\w]*\w*/);match&&(selEnd+=match[0].length);
+break}case"deleteContentBackward":selectionStart===selectionEnd&&(selStart-=1);break;case"deleteContentForward":selectionStart===selectionEnd&&(selEnd+=1);break}event2.preventDefault(),this.linkService.eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value,change:data||"",willCommit:!1,selStart,selEnd}})}),this._setEventListeners(element2,elementData,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","M\
+ouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.value)}if(blurListener&&element2.addEventListener("blur",blurListener),this.data.comb){const combWidth=(this.data.rect[2]-this.data.rect[0])/maxLen;element2.classList.add("comb"),element2.style.letterSpacing=`calc(${combWidth}px * var(--total-scale-factor) - 1ch)`}}else element2=document.createElement("div"),element2.textContent=this.data.fieldValue,element2.style.verticalAlign="middle",element2.style.display="table-cell",this.data.hasOwnCanvas&&
+(element2.hidden=!0);return this._setTextStyle(element2),this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class SignatureWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:!!parameters.data.hasOwnCanvas})}}class CheckboxWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:parameters.renderForms})}render(){
+const storage=this.annotationStorage,data=this.data,id2=data.id;let value=storage.getValue(id2,{value:data.exportValue===data.fieldValue}).value;typeof value=="string"&&(value=value!=="Off",storage.setValue(id2,{value})),this.container.classList.add("buttonWidgetAnnotation","checkBox");const element2=document.createElement("input");return GetElementsByNameSet.add(element2),element2.setAttribute("data-element-id",id2),element2.disabled=data.readOnly,this._setRequired(element2,this.data.required),
+element2.type="checkbox",element2.name=data.fieldName,value&&element2.setAttribute("checked",!0),element2.setAttribute("exportValue",data.exportValue),element2.tabIndex=0,element2.addEventListener("change",event2=>{const{name,checked}=event2.target;for(const checkbox of this._getElementsByName(name,id2)){const curChecked=checked&&checkbox.exportValue===data.exportValue;checkbox.domElement&&(checkbox.domElement.checked=curChecked),storage.setValue(checkbox.id,{value:curChecked})}storage.setValue(
+id2,{value:checked})}),element2.addEventListener("resetform",event2=>{const defaultValue=data.defaultFieldValue||"Off";event2.target.checked=defaultValue===data.exportValue}),this.enableScripting&&this.hasJSActions&&(element2.addEventListener("updatefromsandbox",jsEvent=>{const actions={value(event2){event2.target.checked=event2.detail.value!=="Off",storage.setValue(id2,{value:event2.target.checked})}};this._dispatchEventFromSandbox(actions,jsEvent)}),this._setEventListeners(element2,null,[["cha\
+nge","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.checked)),this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class RadioButtonWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){super(parameters,{isRenderable:parameters.renderForms})}render(){this.
+container.classList.add("buttonWidgetAnnotation","radioButton");const storage=this.annotationStorage,data=this.data,id2=data.id;let value=storage.getValue(id2,{value:data.fieldValue===data.buttonValue}).value;if(typeof value=="string"&&(value=value!==data.buttonValue,storage.setValue(id2,{value})),value)for(const radio of this._getElementsByName(data.fieldName,id2))storage.setValue(radio.id,{value:!1});const element2=document.createElement("input");if(GetElementsByNameSet.add(element2),element2.
+setAttribute("data-element-id",id2),element2.disabled=data.readOnly,this._setRequired(element2,this.data.required),element2.type="radio",element2.name=data.fieldName,value&&element2.setAttribute("checked",!0),element2.tabIndex=0,element2.addEventListener("change",event2=>{const{name,checked}=event2.target;for(const radio of this._getElementsByName(name,id2))storage.setValue(radio.id,{value:!1});storage.setValue(id2,{value:checked})}),element2.addEventListener("resetform",event2=>{const defaultValue=data.
+defaultFieldValue;event2.target.checked=defaultValue!=null&&defaultValue===data.buttonValue}),this.enableScripting&&this.hasJSActions){const pdfButtonValue=data.buttonValue;element2.addEventListener("updatefromsandbox",jsEvent=>{const actions={value:event2=>{const checked=pdfButtonValue===event2.detail.value;for(const radio of this._getElementsByName(event2.target.name)){const curChecked=checked&&radio.id===id2;radio.domElement&&(radio.domElement.checked=curChecked),storage.setValue(radio.id,{value:curChecked})}}};
+this._dispatchEventFromSandbox(actions,jsEvent)}),this._setEventListeners(element2,null,[["change","Validate"],["change","Action"],["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"]],event2=>event2.target.checked)}return this._setBackgroundColor(element2),this._setDefaultPropertiesFromJS(element2),this.container.append(element2),this.container}}class PushButtonWidgetAnnotationElement extends LinkAnnotationElement{constructor(parameters){
+super(parameters,{ignoreBorder:parameters.data.hasAppearance})}render(){const container2=super.render();container2.classList.add("buttonWidgetAnnotation","pushButton");const linkElement=container2.lastChild;return this.enableScripting&&this.hasJSActions&&linkElement&&(this._setDefaultPropertiesFromJS(linkElement),linkElement.addEventListener("updatefromsandbox",jsEvent=>{this._dispatchEventFromSandbox({},jsEvent)})),container2}}class ChoiceWidgetAnnotationElement extends WidgetAnnotationElement{constructor(parameters){
+super(parameters,{isRenderable:parameters.renderForms})}render(){this.container.classList.add("choiceWidgetAnnotation");const storage=this.annotationStorage,id2=this.data.id,storedData=storage.getValue(id2,{value:this.data.fieldValue}),selectElement=document.createElement("select");GetElementsByNameSet.add(selectElement),selectElement.setAttribute("data-element-id",id2),selectElement.disabled=this.data.readOnly,this._setRequired(selectElement,this.data.required),selectElement.name=this.data.fieldName,
+selectElement.tabIndex=0;let addAnEmptyEntry=this.data.combo&&this.data.options.length>0;this.data.combo||(selectElement.size=this.data.options.length,this.data.multiSelect&&(selectElement.multiple=!0)),selectElement.addEventListener("resetform",event2=>{const defaultValue=this.data.defaultFieldValue;for(const option2 of selectElement.options)option2.selected=option2.value===defaultValue});for(const option2 of this.data.options){const optionElement=document.createElement("option");optionElement.
+textContent=option2.displayValue,optionElement.value=option2.exportValue,storedData.value.includes(option2.exportValue)&&(optionElement.setAttribute("selected",!0),addAnEmptyEntry=!1),selectElement.append(optionElement)}let removeEmptyEntry=null;if(addAnEmptyEntry){const noneOptionElement=document.createElement("option");noneOptionElement.value=" ",noneOptionElement.setAttribute("hidden",!0),noneOptionElement.setAttribute("selected",!0),selectElement.prepend(noneOptionElement),removeEmptyEntry=()=>{
+noneOptionElement.remove(),selectElement.removeEventListener("input",removeEmptyEntry),removeEmptyEntry=null},selectElement.addEventListener("input",removeEmptyEntry)}const getValue=isExport=>{const name=isExport?"value":"textContent",{options,multiple}=selectElement;return multiple?Array.prototype.filter.call(options,option2=>option2.selected).map(option2=>option2[name]):options.selectedIndex===-1?null:options[options.selectedIndex][name]};let selectedValues=getValue(!1);const getItems=event2=>{
+const options=event2.target.options;return Array.prototype.map.call(options,option2=>({displayValue:option2.textContent,exportValue:option2.value}))};return this.enableScripting&&this.hasJSActions?(selectElement.addEventListener("updatefromsandbox",jsEvent=>{const actions={value(event2){removeEmptyEntry?.();const value=event2.detail.value,values=new Set(Array.isArray(value)?value:[value]);for(const option2 of selectElement.options)option2.selected=values.has(option2.value);storage.setValue(id2,{
+value:getValue(!0)}),selectedValues=getValue(!1)},multipleSelection(event2){selectElement.multiple=!0},remove(event2){const options=selectElement.options,index2=event2.detail.remove;options[index2].selected=!1,selectElement.remove(index2),options.length>0&&Array.prototype.findIndex.call(options,option2=>option2.selected)===-1&&(options[0].selected=!0),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},clear(event2){for(;selectElement.length!==0;)selectElement.
+remove(0);storage.setValue(id2,{value:null,items:[]}),selectedValues=getValue(!1)},insert(event2){const{index:index2,displayValue,exportValue}=event2.detail.insert,selectChild=selectElement.children[index2],optionElement=document.createElement("option");optionElement.textContent=displayValue,optionElement.value=exportValue,selectChild?selectChild.before(optionElement):selectElement.append(optionElement),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},
+items(event2){const{items:items2}=event2.detail;for(;selectElement.length!==0;)selectElement.remove(0);for(const item of items2){const{displayValue,exportValue}=item,optionElement=document.createElement("option");optionElement.textContent=displayValue,optionElement.value=exportValue,selectElement.append(optionElement)}selectElement.options.length>0&&(selectElement.options[0].selected=!0),storage.setValue(id2,{value:getValue(!0),items:getItems(event2)}),selectedValues=getValue(!1)},indices(event2){
+const indices=new Set(event2.detail.indices);for(const option2 of event2.target.options)option2.selected=indices.has(option2.index);storage.setValue(id2,{value:getValue(!0)}),selectedValues=getValue(!1)},editable(event2){event2.target.disabled=!event2.detail.editable}};this._dispatchEventFromSandbox(actions,jsEvent)}),selectElement.addEventListener("input",event2=>{const exportValue=getValue(!0),change=getValue(!1);storage.setValue(id2,{value:exportValue}),event2.preventDefault(),this.linkService.
+eventBus?.dispatch("dispatcheventinsandbox",{source:this,detail:{id:id2,name:"Keystroke",value:selectedValues,change,changeEx:exportValue,willCommit:!1,commitKey:1,keyDown:!1}})}),this._setEventListeners(selectElement,null,[["focus","Focus"],["blur","Blur"],["mousedown","Mouse Down"],["mouseenter","Mouse Enter"],["mouseleave","Mouse Exit"],["mouseup","Mouse Up"],["input","Action"],["input","Validate"]],event2=>event2.target.value)):selectElement.addEventListener("input",function(event2){storage.
+setValue(id2,{value:getValue(!0)})}),this.data.combo&&this._setTextStyle(selectElement),this._setBackgroundColor(selectElement),this._setDefaultPropertiesFromJS(selectElement),this.container.append(selectElement),this.container}}class PopupAnnotationElement extends AnnotationElement{constructor(parameters){const{data,elements}=parameters;super(parameters,{isRenderable:AnnotationElement._hasPopupData(data)}),this.elements=elements,this.popup=null}render(){const{container:container2}=this;container2.
+classList.add("popupAnnotation"),container2.role="comment";const popup=this.popup=new PopupElement({container:this.container,color:this.data.color,titleObj:this.data.titleObj,modificationDate:this.data.modificationDate||this.data.creationDate,contentsObj:this.data.contentsObj,richText:this.data.richText,rect:this.data.rect,parentRect:this.data.parentRect||null,parent:this.parent,elements:this.elements,open:this.data.open}),elementIds=[];for(const element2 of this.elements)element2.popup=popup,element2.
+container.ariaHasPopup="dialog",elementIds.push(element2.data.id),element2.addHighlightArea();return this.container.setAttribute("aria-controls",elementIds.map(id2=>`${AnnotationPrefix}${id2}`).join(",")),this.container}}class PopupElement{#boundKeyDown=this.#keyDown.bind(this);#boundHide=this.#hide.bind(this);#boundShow=this.#show.bind(this);#boundToggle=this.#toggle.bind(this);#color=null;#container=null;#contentsObj=null;#dateObj=null;#elements=null;#parent=null;#parentRect=null;#pinned=!1;#popup=null;#popupAbortController=null;#position=null;#rect=null;#richText=null;#titleObj=null;#updates=null;#wasVisible=!1;constructor({
+container:container2,color,elements,titleObj,modificationDate,contentsObj,richText,parent,rect,parentRect,open:open2}){this.#container=container2,this.#titleObj=titleObj,this.#contentsObj=contentsObj,this.#richText=richText,this.#parent=parent,this.#color=color,this.#rect=rect,this.#parentRect=parentRect,this.#elements=elements,this.#dateObj=PDFDateString.toDateObject(modificationDate),this.trigger=elements.flatMap(e=>e.getElementsToTriggerPopup()),this.#addEventListeners(),this.#container.hidden=
+!0,open2&&this.#toggle()}#addEventListeners(){if(this.#popupAbortController)return;this.#popupAbortController=new AbortController;const{signal}=this.#popupAbortController;for(const element2 of this.trigger)element2.addEventListener("click",this.#boundToggle,{signal}),element2.addEventListener("mouseenter",this.#boundShow,{signal}),element2.addEventListener("mouseleave",this.#boundHide,{signal}),element2.classList.add("popupTriggerArea");for(const element2 of this.#elements)element2.container?.addEventListener(
+"keydown",this.#boundKeyDown,{signal})}render(){if(this.#popup)return;const popup=this.#popup=document.createElement("div");if(popup.className="popup",this.#color){const baseColor=popup.style.outlineColor=Util.makeHexColor(...this.#color);popup.style.backgroundColor=`color-mix(in srgb, ${baseColor} 30%, white)`}const header=document.createElement("span");if(header.className="header",this.#titleObj?.str){const title2=document.createElement("span");title2.className="title",header.append(title2),{dir:title2.
+dir,str:title2.textContent}=this.#titleObj}if(popup.append(header),this.#dateObj){const modificationDate=document.createElement("time");modificationDate.className="popupDate",modificationDate.setAttribute("data-l10n-id","pdfjs-annotation-date-time-string"),modificationDate.setAttribute("data-l10n-args",JSON.stringify({dateObj:this.#dateObj.valueOf()})),modificationDate.dateTime=this.#dateObj.toISOString(),header.append(modificationDate)}const html2=this.#html;if(html2)XfaLayer.render({xfaHtml:html2,
+intent:"richText",div:popup}),popup.lastChild.classList.add("richText","popupContent");else{const contents=this._formatContents(this.#contentsObj);popup.append(contents)}this.#container.append(popup)}get#html(){const richText=this.#richText,contentsObj=this.#contentsObj;return richText?.str&&(!contentsObj?.str||contentsObj.str===richText.str)&&this.#richText.html||null}get#fontSize(){return this.#html?.attributes?.style?.fontSize||0}get#fontColor(){return this.#html?.attributes?.style?.color||null}#makePopupContent(text2){
+const popupLines=[],popupContent={str:text2,html:{name:"div",attributes:{dir:"auto"},children:[{name:"p",children:popupLines}]}},lineAttributes={style:{color:this.#fontColor,fontSize:this.#fontSize?`calc(${this.#fontSize}px * var(--total-scale-factor))`:""}};for(const line of text2.split(`
+`))popupLines.push({name:"span",value:line,attributes:lineAttributes});return popupContent}_formatContents({str,dir}){const p2=document.createElement("p");p2.classList.add("popupContent"),p2.dir=dir;const lines=str.split(/(?:\r\n?|\n)/);for(let i=0,ii=lines.length;i<ii;++i){const line=lines[i];p2.append(document.createTextNode(line)),i<ii-1&&p2.append(document.createElement("br"))}return p2}#keyDown(event2){event2.altKey||event2.shiftKey||event2.ctrlKey||event2.metaKey||(event2.key==="Enter"||event2.
+key==="Escape"&&this.#pinned)&&this.#toggle()}updateEdited({rect,popup,deleted}){if(deleted||popup?.deleted){this.remove();return}this.#addEventListeners(),this.#updates||={contentsObj:this.#contentsObj,richText:this.#richText},rect&&(this.#position=null),popup&&(this.#richText=this.#makePopupContent(popup.text),this.#dateObj=PDFDateString.toDateObject(popup.date),this.#contentsObj=null),this.#popup?.remove(),this.#popup=null}resetEdited(){this.#updates&&({contentsObj:this.#contentsObj,richText:this.#richText}=
+this.#updates,this.#updates=null,this.#popup?.remove(),this.#popup=null,this.#position=null)}remove(){this.#popupAbortController?.abort(),this.#popupAbortController=null,this.#popup?.remove(),this.#popup=null,this.#wasVisible=!1,this.#pinned=!1;for(const element2 of this.trigger)element2.classList.remove("popupTriggerArea")}#setPosition(){if(this.#position!==null)return;const{page:{view},viewport:{rawDims:{pageWidth,pageHeight,pageX,pageY}}}=this.#parent;let useParentRect=!!this.#parentRect,rect=useParentRect?
+this.#parentRect:this.#rect;for(const element2 of this.#elements)if(!rect||Util.intersect(element2.data.rect,rect)!==null){rect=element2.data.rect,useParentRect=!0;break}const normalizedRect=Util.normalizeRect([rect[0],view[3]-rect[1]+view[1],rect[2],view[3]-rect[3]+view[1]]),parentWidth=useParentRect?rect[2]-rect[0]+5:0,popupLeft=normalizedRect[0]+parentWidth,popupTop=normalizedRect[1];this.#position=[100*(popupLeft-pageX)/pageWidth,100*(popupTop-pageY)/pageHeight];const{style:style2}=this.#container;
+style2.left=`${this.#position[0]}%`,style2.top=`${this.#position[1]}%`}#toggle(){this.#pinned=!this.#pinned,this.#pinned?(this.#show(),this.#container.addEventListener("click",this.#boundToggle),this.#container.addEventListener("keydown",this.#boundKeyDown)):(this.#hide(),this.#container.removeEventListener("click",this.#boundToggle),this.#container.removeEventListener("keydown",this.#boundKeyDown))}#show(){this.#popup||this.render(),this.isVisible?this.#pinned&&this.#container.classList.add("fo\
+cused"):(this.#setPosition(),this.#container.hidden=!1,this.#container.style.zIndex=parseInt(this.#container.style.zIndex)+1e3)}#hide(){this.#container.classList.remove("focused"),!(this.#pinned||!this.isVisible)&&(this.#container.hidden=!0,this.#container.style.zIndex=parseInt(this.#container.style.zIndex)-1e3)}forceHide(){this.#wasVisible=this.isVisible,this.#wasVisible&&(this.#container.hidden=!0)}maybeShow(){this.#addEventListeners(),this.#wasVisible&&(this.#popup||this.#show(),this.#wasVisible=
+!1,this.#container.hidden=!1)}get isVisible(){return this.#container.hidden===!1}}class FreeTextAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.textContent=parameters.data.textContent,this.textPosition=parameters.data.textPosition,this.annotationEditorType=AnnotationEditorType.FREETEXT}render(){if(this.container.classList.add("freeTextAnnotation"),this.textContent){const content2=document.createElement("div");content2.classList.
+add("annotationTextContent"),content2.setAttribute("role","comment");for(const line of this.textContent){const lineSpan=document.createElement("span");lineSpan.textContent=line,content2.append(lineSpan)}this.container.append(content2)}return!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this._editOnDoubleClick(),this.container}}class LineAnnotationElement extends AnnotationElement{#line=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.
+classList.add("lineAnnotation");const{data,width,height}=this,svg2=this.svgFactory.create(width,height,!0),line=this.#line=this.svgFactory.createElement("svg:line");return line.setAttribute("x1",data.rect[2]-data.lineCoordinates[0]),line.setAttribute("y1",data.rect[3]-data.lineCoordinates[1]),line.setAttribute("x2",data.rect[2]-data.lineCoordinates[2]),line.setAttribute("y2",data.rect[3]-data.lineCoordinates[3]),line.setAttribute("stroke-width",data.borderStyle.width||1),line.setAttribute("strok\
+e","transparent"),line.setAttribute("fill","transparent"),svg2.append(line),this.container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#line}addHighlightArea(){this.container.classList.add("highlightArea")}}class SquareAnnotationElement extends AnnotationElement{#square=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("squareAnnotation");const{data,
+width,height}=this,svg2=this.svgFactory.create(width,height,!0),borderWidth=data.borderStyle.width,square=this.#square=this.svgFactory.createElement("svg:rect");return square.setAttribute("x",borderWidth/2),square.setAttribute("y",borderWidth/2),square.setAttribute("width",width-borderWidth),square.setAttribute("height",height-borderWidth),square.setAttribute("stroke-width",borderWidth||1),square.setAttribute("stroke","transparent"),square.setAttribute("fill","transparent"),svg2.append(square),this.
+container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#square}addHighlightArea(){this.container.classList.add("highlightArea")}}class CircleAnnotationElement extends AnnotationElement{#circle=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0})}render(){this.container.classList.add("circleAnnotation");const{data,width,height}=this,svg2=this.svgFactory.create(width,height,!0),borderWidth=data.
+borderStyle.width,circle=this.#circle=this.svgFactory.createElement("svg:ellipse");return circle.setAttribute("cx",width/2),circle.setAttribute("cy",height/2),circle.setAttribute("rx",width/2-borderWidth/2),circle.setAttribute("ry",height/2-borderWidth/2),circle.setAttribute("stroke-width",borderWidth||1),circle.setAttribute("stroke","transparent"),circle.setAttribute("fill","transparent"),svg2.append(circle),this.container.append(svg2),!data.popupRef&&this.hasPopupData&&this._createPopup(),this.
+container}getElementsToTriggerPopup(){return this.#circle}addHighlightArea(){this.container.classList.add("highlightArea")}}class PolylineAnnotationElement extends AnnotationElement{#polyline=null;constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="polylineAnnotation",this.svgElementName="svg:polyline"}render(){this.container.classList.add(this.containerClassName);const{data:{rect,vertices,borderStyle,popupRef},width,height}=this;if(!vertices)return this.
+container;const svg2=this.svgFactory.create(width,height,!0);let points=[];for(let i=0,ii=vertices.length;i<ii;i+=2){const x=vertices[i]-rect[0],y=rect[3]-vertices[i+1];points.push(`${x},${y}`)}points=points.join(" ");const polyline=this.#polyline=this.svgFactory.createElement(this.svgElementName);return polyline.setAttribute("points",points),polyline.setAttribute("stroke-width",borderStyle.width||1),polyline.setAttribute("stroke","transparent"),polyline.setAttribute("fill","transparent"),svg2.append(
+polyline),this.container.append(svg2),!popupRef&&this.hasPopupData&&this._createPopup(),this.container}getElementsToTriggerPopup(){return this.#polyline}addHighlightArea(){this.container.classList.add("highlightArea")}}class PolygonAnnotationElement extends PolylineAnnotationElement{constructor(parameters){super(parameters),this.containerClassName="polygonAnnotation",this.svgElementName="svg:polygon"}}class CaretAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,
+{isRenderable:!0,ignoreBorder:!0})}render(){return this.container.classList.add("caretAnnotation"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),this.container}}class InkAnnotationElement extends AnnotationElement{#polylinesGroupElement=null;#polylines=[];constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.containerClassName="inkAnnotation",this.svgElementName="svg:polyline",this.annotationEditorType=this.data.it==="InkHighlight"?AnnotationEditorType.HIGHLIGHT:
+AnnotationEditorType.INK}#getTransform(rotation,rect){switch(rotation){case 90:return{transform:`rotate(90) translate(${-rect[0]},${rect[1]}) scale(1,-1)`,width:rect[3]-rect[1],height:rect[2]-rect[0]};case 180:return{transform:`rotate(180) translate(${-rect[2]},${rect[1]}) scale(1,-1)`,width:rect[2]-rect[0],height:rect[3]-rect[1]};case 270:return{transform:`rotate(270) translate(${-rect[2]},${rect[3]}) scale(1,-1)`,width:rect[3]-rect[1],height:rect[2]-rect[0]};default:return{transform:`translate\
+(${-rect[0]},${rect[3]}) scale(1,-1)`,width:rect[2]-rect[0],height:rect[3]-rect[1]}}}render(){this.container.classList.add(this.containerClassName);const{data:{rect,rotation,inkLists,borderStyle,popupRef}}=this,{transform:transform2,width,height}=this.#getTransform(rotation,rect),svg2=this.svgFactory.create(width,height,!0),g=this.#polylinesGroupElement=this.svgFactory.createElement("svg:g");svg2.append(g),g.setAttribute("stroke-width",borderStyle.width||1),g.setAttribute("stroke-linecap","round"),
+g.setAttribute("stroke-linejoin","round"),g.setAttribute("stroke-miterlimit",10),g.setAttribute("stroke","transparent"),g.setAttribute("fill","transparent"),g.setAttribute("transform",transform2);for(let i=0,ii=inkLists.length;i<ii;i++){const polyline=this.svgFactory.createElement(this.svgElementName);this.#polylines.push(polyline),polyline.setAttribute("points",inkLists[i].join(",")),g.append(polyline)}return!popupRef&&this.hasPopupData&&this._createPopup(),this.container.append(svg2),this._editOnDoubleClick(),
+this.container}updateEdited(params){super.updateEdited(params);const{thickness,points,rect}=params,g=this.#polylinesGroupElement;if(thickness>=0&&g.setAttribute("stroke-width",thickness||1),points)for(let i=0,ii=this.#polylines.length;i<ii;i++)this.#polylines[i].setAttribute("points",points[i].join(","));if(rect){const{transform:transform2,width,height}=this.#getTransform(this.data.rotation,rect);g.parentElement.setAttribute("viewBox",`0 0 ${width} ${height}`),g.setAttribute("transform",transform2)}}getElementsToTriggerPopup(){
+return this.#polylines}addHighlightArea(){this.container.classList.add("highlightArea")}}class HighlightAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0}),this.annotationEditorType=AnnotationEditorType.HIGHLIGHT}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("highlightAnnotation"),this._editOnDoubleClick(),overlaidText){
+const mark2=document.createElement("mark");mark2.classList.add("overlaidText"),mark2.textContent=overlaidText,this.container.append(mark2)}return this.container}}class UnderlineAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("underlineAnnotation"),overlaidText){const underline=document.
+createElement("u");underline.classList.add("overlaidText"),underline.textContent=overlaidText,this.container.append(underline)}return this.container}}class SquigglyAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("squigglyAnnotation"),overlaidText){const underline=document.
+createElement("u");underline.classList.add("overlaidText"),underline.textContent=overlaidText,this.container.append(underline)}return this.container}}class StrikeOutAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0,createQuadrilaterals:!0})}render(){const{data:{overlaidText,popupRef}}=this;if(!popupRef&&this.hasPopupData&&this._createPopup(),this.container.classList.add("strikeoutAnnotation"),overlaidText){const strikeout=document.
+createElement("s");strikeout.classList.add("overlaidText"),strikeout.textContent=overlaidText,this.container.append(strikeout)}return this.container}}class StampAnnotationElement extends AnnotationElement{constructor(parameters){super(parameters,{isRenderable:!0,ignoreBorder:!0}),this.annotationEditorType=AnnotationEditorType.STAMP}render(){return this.container.classList.add("stampAnnotation"),this.container.setAttribute("role","img"),!this.data.popupRef&&this.hasPopupData&&this._createPopup(),
+this._editOnDoubleClick(),this.container}}class FileAttachmentAnnotationElement extends AnnotationElement{#trigger=null;constructor(parameters){super(parameters,{isRenderable:!0});const{file}=this.data;this.filename=file.filename,this.content=file.content,this.linkService.eventBus?.dispatch("fileattachmentannotation",{source:this,...file})}render(){this.container.classList.add("fileAttachmentAnnotation");const{container:container2,data}=this;let trigger;data.hasAppearance||data.fillAlpha===0?trigger=
+document.createElement("div"):(trigger=document.createElement("img"),trigger.src=`${this.imageResourcesPath}annotation-${/paperclip/i.test(data.name)?"paperclip":"pushpin"}.svg`,data.fillAlpha&&data.fillAlpha<1&&(trigger.style=`filter: opacity(${Math.round(data.fillAlpha*100)}%);`)),trigger.addEventListener("dblclick",this.#download.bind(this)),this.#trigger=trigger;const{isMac}=util_FeatureTest.platform;return container2.addEventListener("keydown",evt=>{evt.key==="Enter"&&(isMac?evt.metaKey:evt.
+ctrlKey)&&this.#download()}),!data.popupRef&&this.hasPopupData?this._createPopup():trigger.classList.add("popupTriggerArea"),container2.append(trigger),container2}getElementsToTriggerPopup(){return this.#trigger}addHighlightArea(){this.container.classList.add("highlightArea")}#download(){this.downloadManager?.openOrDownloadData(this.content,this.filename)}}class AnnotationLayer{#accessibilityManager=null;#annotationCanvasMap=null;#editableAnnotations=new Map;#structTreeLayer=null;constructor({div,
+accessibilityManager,annotationCanvasMap,annotationEditorUIManager,page:page2,viewport,structTreeLayer}){this.div=div,this.#accessibilityManager=accessibilityManager,this.#annotationCanvasMap=annotationCanvasMap,this.#structTreeLayer=structTreeLayer||null,this.page=page2,this.viewport=viewport,this.zIndex=0,this._annotationEditorUIManager=annotationEditorUIManager}hasEditableAnnotations(){return this.#editableAnnotations.size>0}async#appendElement(element2,id2,popupElements){const contentElement=element2.
+firstChild||element2,annotationId=contentElement.id=`${AnnotationPrefix}${id2}`,ariaAttributes=await this.#structTreeLayer?.getAriaAttributes(annotationId);if(ariaAttributes)for(const[key2,value]of ariaAttributes)contentElement.setAttribute(key2,value);popupElements?popupElements.at(-1).container.after(element2):(this.div.append(element2),this.#accessibilityManager?.moveElementInDOM(this.div,element2,contentElement,!1))}async render(params){const{annotations}=params,layer=this.div;setLayerDimensions(
+layer,this.viewport);const popupToElements=new Map,elementParams={data:null,layer,linkService:params.linkService,downloadManager:params.downloadManager,imageResourcesPath:params.imageResourcesPath||"",renderForms:params.renderForms!==!1,svgFactory:new DOMSVGFactory,annotationStorage:params.annotationStorage||new AnnotationStorage,enableScripting:params.enableScripting===!0,hasJSActions:params.hasJSActions,fieldObjects:params.fieldObjects,parent:this,elements:null};for(const data of annotations){
+if(data.noHTML)continue;const isPopupAnnotation=data.annotationType===AnnotationType.POPUP;if(isPopupAnnotation){const elements=popupToElements.get(data.id);if(!elements)continue;elementParams.elements=elements}else if(data.rect[2]===data.rect[0]||data.rect[3]===data.rect[1])continue;elementParams.data=data;const element2=AnnotationElementFactory.create(elementParams);if(!element2.isRenderable)continue;if(!isPopupAnnotation&&data.popupRef){const elements=popupToElements.get(data.popupRef);elements?
+elements.push(element2):popupToElements.set(data.popupRef,[element2])}const rendered=element2.render();data.hidden&&(rendered.style.visibility="hidden"),await this.#appendElement(rendered,data.id,elementParams.elements),element2._isEditable&&(this.#editableAnnotations.set(element2.data.id,element2),this._annotationEditorUIManager?.renderAnnotationElement(element2))}this.#setAnnotationCanvasMap()}async addLinkAnnotations(annotations,linkService){const elementParams={data:null,layer:this.div,linkService,
+svgFactory:new DOMSVGFactory,parent:this};for(const data of annotations){data.borderStyle||=AnnotationLayer._defaultBorderStyle,elementParams.data=data;const element2=AnnotationElementFactory.create(elementParams);if(!element2.isRenderable)continue;const rendered=element2.render();await this.#appendElement(rendered,data.id,null)}}update({viewport}){const layer=this.div;this.viewport=viewport,setLayerDimensions(layer,{rotation:viewport.rotation}),this.#setAnnotationCanvasMap(),layer.hidden=!1}#setAnnotationCanvasMap(){
+if(!this.#annotationCanvasMap)return;const layer=this.div;for(const[id2,canvas]of this.#annotationCanvasMap){const element2=layer.querySelector(`[data-annotation-id="${id2}"]`);if(!element2)continue;canvas.className="annotationContent";const{firstChild}=element2;firstChild?firstChild.nodeName==="CANVAS"?firstChild.replaceWith(canvas):firstChild.classList.contains("annotationContent")?firstChild.after(canvas):firstChild.before(canvas):element2.append(canvas);const editableAnnotation=this.#editableAnnotations.
+get(id2);editableAnnotation&&(editableAnnotation._hasNoCanvas?(this._annotationEditorUIManager?.setMissingCanvas(id2,element2.id,canvas),editableAnnotation._hasNoCanvas=!1):editableAnnotation.canvas=canvas)}this.#annotationCanvasMap.clear()}getEditableAnnotations(){return Array.from(this.#editableAnnotations.values())}getEditableAnnotation(id2){return this.#editableAnnotations.get(id2)}static get _defaultBorderStyle(){return shadow(this,"_defaultBorderStyle",Object.freeze({width:1,rawWidth:1,style:AnnotationBorderStyleType.
+SOLID,dashArray:[3],horizontalCornerRadius:0,verticalCornerRadius:0}))}}const EOL_PATTERN=/\r\n?|\n/g;class FreeTextEditor extends AnnotationEditor{#color;#content="";#editorDivId=`${this.id}-editor`;#editModeAC=null;#fontSize;_colorPicker=null;static _freeTextDefaultContent="";static _internalPadding=0;static _defaultColor=null;static _defaultFontSize=10;static get _keyboardManager(){const proto=FreeTextEditor.prototype,arrowChecker=self2=>self2.isEmpty(),small=AnnotationEditorUIManager.TRANSLATE_SMALL,
+big=AnnotationEditorUIManager.TRANSLATE_BIG;return shadow(this,"_keyboardManager",new KeyboardManager([[["ctrl+s","mac+meta+s","ctrl+p","mac+meta+p"],proto.commitOrRemove,{bubbles:!0}],[["ctrl+Enter","mac+meta+Enter","Escape","mac+Escape"],proto.commitOrRemove],[["ArrowLeft","mac+ArrowLeft"],proto._translateEmpty,{args:[-small,0],checker:arrowChecker}],[["ctrl+ArrowLeft","mac+shift+ArrowLeft"],proto._translateEmpty,{args:[-big,0],checker:arrowChecker}],[["ArrowRight","mac+ArrowRight"],proto._translateEmpty,
+{args:[small,0],checker:arrowChecker}],[["ctrl+ArrowRight","mac+shift+ArrowRight"],proto._translateEmpty,{args:[big,0],checker:arrowChecker}],[["ArrowUp","mac+ArrowUp"],proto._translateEmpty,{args:[0,-small],checker:arrowChecker}],[["ctrl+ArrowUp","mac+shift+ArrowUp"],proto._translateEmpty,{args:[0,-big],checker:arrowChecker}],[["ArrowDown","mac+ArrowDown"],proto._translateEmpty,{args:[0,small],checker:arrowChecker}],[["ctrl+ArrowDown","mac+shift+ArrowDown"],proto._translateEmpty,{args:[0,big],checker:arrowChecker}]]))}static _type="\
+freetext";static _editorType=AnnotationEditorType.FREETEXT;constructor(params){super({...params,name:"freeTextEditor"}),this.#color=params.color||FreeTextEditor._defaultColor||AnnotationEditor._defaultLineColor,this.#fontSize=params.fontSize||FreeTextEditor._defaultFontSize,this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-freetext-added-alert")}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager);const style2=getComputedStyle(document.documentElement);this.
+_internalPadding=parseFloat(style2.getPropertyValue("--freetext-padding"))}static updateDefaultParams(type2,value){switch(type2){case AnnotationEditorParamsType.FREETEXT_SIZE:FreeTextEditor._defaultFontSize=value;break;case AnnotationEditorParamsType.FREETEXT_COLOR:FreeTextEditor._defaultColor=value;break}}updateParams(type2,value){switch(type2){case AnnotationEditorParamsType.FREETEXT_SIZE:this.#updateFontSize(value);break;case AnnotationEditorParamsType.FREETEXT_COLOR:this.#updateColor(value);
+break}}static get defaultPropertiesToUpdate(){return[[AnnotationEditorParamsType.FREETEXT_SIZE,FreeTextEditor._defaultFontSize],[AnnotationEditorParamsType.FREETEXT_COLOR,FreeTextEditor._defaultColor||AnnotationEditor._defaultLineColor]]}get propertiesToUpdate(){return[[AnnotationEditorParamsType.FREETEXT_SIZE,this.#fontSize],[AnnotationEditorParamsType.FREETEXT_COLOR,this.#color]]}get toolbarButtons(){return this._colorPicker||=new BasicColorPicker(this),[["colorPicker",this._colorPicker]]}get colorType(){
+return AnnotationEditorParamsType.FREETEXT_COLOR}get colorValue(){return this.#color}#updateFontSize(fontSize){const setFontsize=size2=>{this.editorDiv.style.fontSize=`calc(${size2}px * var(--total-scale-factor))`,this.translate(0,-(size2-this.#fontSize)*this.parentScale),this.#fontSize=size2,this.#setEditorDimensions()},savedFontsize=this.#fontSize;this.addCommands({cmd:setFontsize.bind(this,fontSize),undo:setFontsize.bind(this,savedFontsize),post:this._uiManager.updateUI.bind(this._uiManager,this),
+mustExec:!0,type:AnnotationEditorParamsType.FREETEXT_SIZE,overwriteIfSameType:!0,keepUndo:!0})}#updateColor(color){const setColor=col=>{this.#color=this.editorDiv.style.color=col,this._colorPicker?.update(col)},savedColor=this.#color;this.addCommands({cmd:setColor.bind(this,color),undo:setColor.bind(this,savedColor),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.FREETEXT_COLOR,overwriteIfSameType:!0,keepUndo:!0})}_translateEmpty(x,y){this._uiManager.
+translateSelectedEditors(x,y,!0)}getInitialTranslation(){const scale2=this.parentScale;return[-FreeTextEditor._internalPadding*scale2,-(FreeTextEditor._internalPadding+this.#fontSize)*scale2]}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.isAttachedToDOM||this.parent.add(this)))}enableEditMode(){if(!super.enableEditMode())return!1;this.overlayDiv.classList.remove("enabled"),this.editorDiv.contentEditable=!0,this._isDraggable=!1,this.div.removeAttribute("aria-activedescendant"),this.#editModeAC=
+new AbortController;const signal=this._uiManager.combinedSignal(this.#editModeAC);return this.editorDiv.addEventListener("keydown",this.editorDivKeydown.bind(this),{signal}),this.editorDiv.addEventListener("focus",this.editorDivFocus.bind(this),{signal}),this.editorDiv.addEventListener("blur",this.editorDivBlur.bind(this),{signal}),this.editorDiv.addEventListener("input",this.editorDivInput.bind(this),{signal}),this.editorDiv.addEventListener("paste",this.editorDivPaste.bind(this),{signal}),!0}disableEditMode(){
+return super.disableEditMode()?(this.overlayDiv.classList.add("enabled"),this.editorDiv.contentEditable=!1,this.div.setAttribute("aria-activedescendant",this.#editorDivId),this._isDraggable=!0,this.#editModeAC?.abort(),this.#editModeAC=null,this.div.focus({preventScroll:!0}),this.isEditing=!1,this.parent.div.classList.add("freetextEditing"),!0):!1}focusin(event2){this._focusEventsAllowed&&(super.focusin(event2),event2.target!==this.editorDiv&&this.editorDiv.focus())}onceAdded(focus2){this.width||
+(this.enableEditMode(),focus2&&this.editorDiv.focus(),this._initialOptions?.isCentered&&this.center(),this._initialOptions=null)}isEmpty(){return!this.editorDiv||this.editorDiv.innerText.trim()===""}remove(){this.isEditing=!1,this.parent&&(this.parent.setEditingState(!0),this.parent.div.classList.add("freetextEditing")),super.remove()}#extractText(){const buffer=[];this.editorDiv.normalize();let prevChild=null;for(const child2 of this.editorDiv.childNodes)prevChild?.nodeType===Node.TEXT_NODE&&child2.
+nodeName==="BR"||(buffer.push(FreeTextEditor.#getNodeContent(child2)),prevChild=child2);return buffer.join(`
+`)}#setEditorDimensions(){const[parentWidth,parentHeight]=this.parentDimensions;let rect;if(this.isAttachedToDOM)rect=this.div.getBoundingClientRect();else{const{currentLayer,div}=this,savedDisplay=div.style.display,savedVisibility=div.classList.contains("hidden");div.classList.remove("hidden"),div.style.display="hidden",currentLayer.div.append(this.div),rect=div.getBoundingClientRect(),div.remove(),div.style.display=savedDisplay,div.classList.toggle("hidden",savedVisibility)}this.rotation%180===
+this.parentRotation%180?(this.width=rect.width/parentWidth,this.height=rect.height/parentHeight):(this.width=rect.height/parentWidth,this.height=rect.width/parentHeight),this.fixAndSetPosition()}commit(){if(!this.isInEditMode())return;super.commit(),this.disableEditMode();const savedText=this.#content,newText=this.#content=this.#extractText().trimEnd();if(savedText===newText)return;const setText=text2=>{if(this.#content=text2,!text2){this.remove();return}this.#setContent(),this._uiManager.rebuild(
+this),this.#setEditorDimensions()};this.addCommands({cmd:()=>{setText(newText)},undo:()=>{setText(savedText)},mustExec:!1}),this.#setEditorDimensions()}shouldGetKeyboardEvents(){return this.isInEditMode()}enterInEditMode(){this.enableEditMode(),this.editorDiv.focus()}keydown(event2){event2.target===this.div&&event2.key==="Enter"&&(this.enterInEditMode(),event2.preventDefault())}editorDivKeydown(event2){FreeTextEditor._keyboardManager.exec(this,event2)}editorDivFocus(event2){this.isEditing=!0}editorDivBlur(event2){
+this.isEditing=!1}editorDivInput(event2){this.parent.div.classList.toggle("freetextEditing",this.isEmpty())}disableEditing(){this.editorDiv.setAttribute("role","comment"),this.editorDiv.removeAttribute("aria-multiline")}enableEditing(){this.editorDiv.setAttribute("role","textbox"),this.editorDiv.setAttribute("aria-multiline",!0)}get canChangeContent(){return!0}render(){if(this.div)return this.div;let baseX,baseY;(this._isCopy||this.annotationElementId)&&(baseX=this.x,baseY=this.y),super.render(),
+this.editorDiv=document.createElement("div"),this.editorDiv.className="internal",this.editorDiv.setAttribute("id",this.#editorDivId),this.editorDiv.setAttribute("data-l10n-id","pdfjs-free-text2"),this.editorDiv.setAttribute("data-l10n-attrs","default-content"),this.enableEditing(),this.editorDiv.contentEditable=!0;const{style:style2}=this.editorDiv;if(style2.fontSize=`calc(${this.#fontSize}px * var(--total-scale-factor))`,style2.color=this.#color,this.div.append(this.editorDiv),this.overlayDiv=document.
+createElement("div"),this.overlayDiv.classList.add("overlay","enabled"),this.div.append(this.overlayDiv),this._isCopy||this.annotationElementId){const[parentWidth,parentHeight]=this.parentDimensions;if(this.annotationElementId){const{position:position2}=this._initialData;let[tx,ty]=this.getInitialTranslation();[tx,ty]=this.pageTranslationToScreen(tx,ty);const[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation;let posX,posY;switch(this.rotation){case 0:posX=baseX+(position2[0]-
+pageX)/pageWidth,posY=baseY+this.height-(position2[1]-pageY)/pageHeight;break;case 90:posX=baseX+(position2[0]-pageX)/pageWidth,posY=baseY-(position2[1]-pageY)/pageHeight,[tx,ty]=[ty,-tx];break;case 180:posX=baseX-this.width+(position2[0]-pageX)/pageWidth,posY=baseY-(position2[1]-pageY)/pageHeight,[tx,ty]=[-tx,-ty];break;case 270:posX=baseX+(position2[0]-pageX-this.height*pageHeight)/pageWidth,posY=baseY+(position2[1]-pageY-this.width*pageWidth)/pageHeight,[tx,ty]=[-ty,tx];break}this.setAt(posX*
+parentWidth,posY*parentHeight,tx,ty)}else this._moveAfterPaste(baseX,baseY);this.#setContent(),this._isDraggable=!0,this.editorDiv.contentEditable=!1}else this._isDraggable=!1,this.editorDiv.contentEditable=!0;return this.div}static#getNodeContent(node2){return(node2.nodeType===Node.TEXT_NODE?node2.nodeValue:node2.innerText).replaceAll(EOL_PATTERN,"")}editorDivPaste(event2){const clipboardData=event2.clipboardData||window.clipboardData,{types:types2}=clipboardData;if(types2.length===1&&types2[0]===
+"text/plain")return;event2.preventDefault();const paste=FreeTextEditor.#deserializeContent(clipboardData.getData("text")||"").replaceAll(EOL_PATTERN,`
+`);if(!paste)return;const selection=window.getSelection();if(!selection.rangeCount)return;this.editorDiv.normalize(),selection.deleteFromDocument();const range=selection.getRangeAt(0);if(!paste.includes(`
+`)){range.insertNode(document.createTextNode(paste)),this.editorDiv.normalize(),selection.collapseToStart();return}const{startContainer,startOffset}=range,bufferBefore=[],bufferAfter=[];if(startContainer.nodeType===Node.TEXT_NODE){const parent=startContainer.parentElement;if(bufferAfter.push(startContainer.nodeValue.slice(startOffset).replaceAll(EOL_PATTERN,"")),parent!==this.editorDiv){let buffer=bufferBefore;for(const child2 of this.editorDiv.childNodes){if(child2===parent){buffer=bufferAfter;
+continue}buffer.push(FreeTextEditor.#getNodeContent(child2))}}bufferBefore.push(startContainer.nodeValue.slice(0,startOffset).replaceAll(EOL_PATTERN,""))}else if(startContainer===this.editorDiv){let buffer=bufferBefore,i=0;for(const child2 of this.editorDiv.childNodes)i++===startOffset&&(buffer=bufferAfter),buffer.push(FreeTextEditor.#getNodeContent(child2))}this.#content=`${bufferBefore.join(`
+`)}${paste}${bufferAfter.join(`
+`)}`,this.#setContent();const newRange=new Range;let beforeLength=Math.sumPrecise(bufferBefore.map(line=>line.length));for(const{firstChild}of this.editorDiv.childNodes)if(firstChild.nodeType===Node.TEXT_NODE){const length=firstChild.nodeValue.length;if(beforeLength<=length){newRange.setStart(firstChild,beforeLength),newRange.setEnd(firstChild,beforeLength);break}beforeLength-=length}selection.removeAllRanges(),selection.addRange(newRange)}#setContent(){if(this.editorDiv.replaceChildren(),!!this.#content)
+for(const line of this.#content.split(`
+`)){const div=document.createElement("div");div.append(line?document.createTextNode(line):document.createElement("br")),this.editorDiv.append(div)}}#serializeContent(){return this.#content.replaceAll(" "," ")}static#deserializeContent(content2){return content2.replaceAll(" "," ")}get contentDiv(){return this.editorDiv}static async deserialize(data,parent,uiManager){let initialData=null;if(data instanceof FreeTextAnnotationElement){const{data:{defaultAppearanceData:{fontSize,fontColor},rect,rotation,
+id:id2,popupRef,contentsObj},textContent,textPosition,parent:{page:{pageNumber}}}=data;if(!textContent||textContent.length===0)return null;initialData=data={annotationType:AnnotationEditorType.FREETEXT,color:Array.from(fontColor),fontSize,value:textContent.join(`
+`),position:textPosition,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,uiManager);return editor.#fontSize=data.fontSize,editor.#color=Util.makeHexColor(...data.color),editor.#content=FreeTextEditor.#deserializeContent(data.value),editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment),editor}serialize(isForCopying=!1){if(this.isEmpty())
+return null;if(this.deleted)return this.serializeDeleted();const padding=FreeTextEditor._internalPadding*this.parentScale,rect=this.getRect(padding,padding),color=AnnotationEditor._colorManager.convert(this.isAttachedToDOM?getComputedStyle(this.editorDiv).color:this.#color),serialized={annotationType:AnnotationEditorType.FREETEXT,color,fontSize:this.#fontSize,value:this.#serializeContent(),pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.
+addComment(serialized),isForCopying?(serialized.isCopy=!0,serialized):this.annotationElementId&&!this.#hasElementChanged(serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{value,fontSize,color,pageIndex}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||serialized.value!==value||serialized.fontSize!==fontSize||serialized.color.some((c2,i)=>c2!==color[i])||serialized.pageIndex!==pageIndex}renderAnnotationElement(annotation){
+const content2=super.renderAnnotationElement(annotation),{style:style2}=content2;style2.fontSize=`calc(${this.#fontSize}px * var(--total-scale-factor))`,style2.color=this.#color,content2.replaceChildren();for(const line of this.#content.split(`
+`)){const div=document.createElement("div");div.append(line?document.createTextNode(line):document.createElement("br")),content2.append(div)}const padding=FreeTextEditor._internalPadding*this.parentScale,params={rect:this.getRect(padding,padding)};return params.popup=this.hasEditedComment?this.comment:{text:this.#content},annotation.updateEdited(params),content2}resetAnnotationElement(annotation){super.resetAnnotationElement(annotation),annotation.resetEdited()}}class Outline{static PRECISION=1e-4;toSVGPath(){
+unreachable("Abstract method `toSVGPath` must be implemented.")}get box(){unreachable("Abstract getter `box` must be implemented.")}serialize(_bbox,_rotation){unreachable("Abstract method `serialize` must be implemented.")}static _rescale(src,tx,ty,sx,sy,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<ii;i+=2)dest[i]=tx+src[i]*sx,dest[i+1]=ty+src[i+1]*sy;return dest}static _rescaleAndSwap(src,tx,ty,sx,sy,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<
+ii;i+=2)dest[i]=tx+src[i+1]*sx,dest[i+1]=ty+src[i]*sy;return dest}static _translate(src,tx,ty,dest){dest||=new Float32Array(src.length);for(let i=0,ii=src.length;i<ii;i+=2)dest[i]=tx+src[i],dest[i+1]=ty+src[i+1];return dest}static svgRound(x){return Math.round(x*1e4)}static _normalizePoint(x,y,parentWidth,parentHeight,rotation){switch(rotation){case 90:return[1-y/parentWidth,x/parentHeight];case 180:return[1-x/parentWidth,1-y/parentHeight];case 270:return[y/parentWidth,1-x/parentHeight];default:
+return[x/parentWidth,y/parentHeight]}}static _normalizePagePoint(x,y,rotation){switch(rotation){case 90:return[1-y,x];case 180:return[1-x,1-y];case 270:return[y,1-x];default:return[x,y]}}static createBezierPoints(x1,y1,x2,y2,x3,y3){return[(x1+5*x2)/6,(y1+5*y2)/6,(5*x2+x3)/6,(5*y2+y3)/6,(x2+x3)/2,(y2+y3)/2]}}class FreeDrawOutliner{#box;#bottom=[];#innerMargin;#isLTR;#top=[];#last=new Float32Array(18);#lastX;#lastY;#min;#min_dist;#scaleFactor;#thickness;#points=[];static#MIN_DIST=8;static#MIN_DIFF=2;static#MIN=FreeDrawOutliner.#MIN_DIST+
+FreeDrawOutliner.#MIN_DIFF;constructor({x,y},box2,scaleFactor,thickness,isLTR,innerMargin=0){this.#box=box2,this.#thickness=thickness*scaleFactor,this.#isLTR=isLTR,this.#last.set([NaN,NaN,NaN,NaN,x,y],6),this.#innerMargin=innerMargin,this.#min_dist=FreeDrawOutliner.#MIN_DIST*scaleFactor,this.#min=FreeDrawOutliner.#MIN*scaleFactor,this.#scaleFactor=scaleFactor,this.#points.push(x,y)}isEmpty(){return isNaN(this.#last[8])}#getLastCoords(){const lastTop=this.#last.subarray(4,6),lastBottom=this.#last.
+subarray(16,18),[x,y,width,height]=this.#box;return[(this.#lastX+(lastTop[0]-lastBottom[0])/2-x)/width,(this.#lastY+(lastTop[1]-lastBottom[1])/2-y)/height,(this.#lastX+(lastBottom[0]-lastTop[0])/2-x)/width,(this.#lastY+(lastBottom[1]-lastTop[1])/2-y)/height]}add({x,y}){this.#lastX=x,this.#lastY=y;const[layerX,layerY,layerWidth,layerHeight]=this.#box;let[x1,y1,x2,y2]=this.#last.subarray(8,12);const diffX=x-x2,diffY=y-y2,d2=Math.hypot(diffX,diffY);if(d2<this.#min)return!1;const diffD=d2-this.#min_dist,
+K=diffD/d2,shiftX=K*diffX,shiftY=K*diffY;let x0=x1,y0=y1;x1=x2,y1=y2,x2+=shiftX,y2+=shiftY,this.#points?.push(x,y);const nX=-shiftY/diffD,nY=shiftX/diffD,thX=nX*this.#thickness,thY=nY*this.#thickness;return this.#last.set(this.#last.subarray(2,8),0),this.#last.set([x2+thX,y2+thY],4),this.#last.set(this.#last.subarray(14,18),12),this.#last.set([x2-thX,y2-thY],16),isNaN(this.#last[6])?(this.#top.length===0&&(this.#last.set([x1+thX,y1+thY],2),this.#top.push(NaN,NaN,NaN,NaN,(x1+thX-layerX)/layerWidth,
+(y1+thY-layerY)/layerHeight),this.#last.set([x1-thX,y1-thY],14),this.#bottom.push(NaN,NaN,NaN,NaN,(x1-thX-layerX)/layerWidth,(y1-thY-layerY)/layerHeight)),this.#last.set([x0,y0,x1,y1,x2,y2],6),!this.isEmpty()):(this.#last.set([x0,y0,x1,y1,x2,y2],6),Math.abs(Math.atan2(y0-y1,x0-x1)-Math.atan2(shiftY,shiftX))<Math.PI/2?([x1,y1,x2,y2]=this.#last.subarray(2,6),this.#top.push(NaN,NaN,NaN,NaN,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),[x1,y1,x0,y0]=this.#last.subarray(14,18),this.#bottom.
+push(NaN,NaN,NaN,NaN,((x0+x1)/2-layerX)/layerWidth,((y0+y1)/2-layerY)/layerHeight),!0):([x0,y0,x1,y1,x2,y2]=this.#last.subarray(0,6),this.#top.push(((x0+5*x1)/6-layerX)/layerWidth,((y0+5*y1)/6-layerY)/layerHeight,((5*x1+x2)/6-layerX)/layerWidth,((5*y1+y2)/6-layerY)/layerHeight,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),[x2,y2,x1,y1,x0,y0]=this.#last.subarray(12,18),this.#bottom.push(((x0+5*x1)/6-layerX)/layerWidth,((y0+5*y1)/6-layerY)/layerHeight,((5*x1+x2)/6-layerX)/layerWidth,
+((5*y1+y2)/6-layerY)/layerHeight,((x1+x2)/2-layerX)/layerWidth,((y1+y2)/2-layerY)/layerHeight),!0))}toSVGPath(){if(this.isEmpty())return"";const top=this.#top,bottom=this.#bottom;if(isNaN(this.#last[6])&&!this.isEmpty())return this.#toSVGPathTwoPoints();const buffer=[];buffer.push(`M${top[4]} ${top[5]}`);for(let i=6;i<top.length;i+=6)isNaN(top[i])?buffer.push(`L${top[i+4]} ${top[i+5]}`):buffer.push(`C${top[i]} ${top[i+1]} ${top[i+2]} ${top[i+3]} ${top[i+4]} ${top[i+5]}`);this.#toSVGPathEnd(buffer);
+for(let i=bottom.length-6;i>=6;i-=6)isNaN(bottom[i])?buffer.push(`L${bottom[i+4]} ${bottom[i+5]}`):buffer.push(`C${bottom[i]} ${bottom[i+1]} ${bottom[i+2]} ${bottom[i+3]} ${bottom[i+4]} ${bottom[i+5]}`);return this.#toSVGPathStart(buffer),buffer.join(" ")}#toSVGPathTwoPoints(){const[x,y,width,height]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();return`M${(this.#last[2]-x)/width} ${(this.#last[3]-y)/height} L${(this.#last[4]-x)/width} ${(this.#last[5]-y)/height} L${lastTopX}\
+ ${lastTopY} L${lastBottomX} ${lastBottomY} L${(this.#last[16]-x)/width} ${(this.#last[17]-y)/height} L${(this.#last[14]-x)/width} ${(this.#last[15]-y)/height} Z`}#toSVGPathStart(buffer){const bottom=this.#bottom;buffer.push(`L${bottom[4]} ${bottom[5]} Z`)}#toSVGPathEnd(buffer){const[x,y,width,height]=this.#box,lastTop=this.#last.subarray(4,6),lastBottom=this.#last.subarray(16,18),[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();buffer.push(`L${(lastTop[0]-x)/width} ${(lastTop[1]-
+y)/height} L${lastTopX} ${lastTopY} L${lastBottomX} ${lastBottomY} L${(lastBottom[0]-x)/width} ${(lastBottom[1]-y)/height}`)}newFreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR){return new FreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR)}getOutlines(){const top=this.#top,bottom=this.#bottom,last=this.#last,[layerX,layerY,layerWidth,layerHeight]=this.#box,points=new Float32Array((this.#points?.length??0)+2);for(let i=0,ii=points.length-2;i<ii;i+=2)points[i]=(this.#points[i]-
+layerX)/layerWidth,points[i+1]=(this.#points[i+1]-layerY)/layerHeight;if(points[points.length-2]=(this.#lastX-layerX)/layerWidth,points[points.length-1]=(this.#lastY-layerY)/layerHeight,isNaN(last[6])&&!this.isEmpty())return this.#getOutlineTwoPoints(points);const outline=new Float32Array(this.#top.length+24+this.#bottom.length);let N=top.length;for(let i=0;i<N;i+=2){if(isNaN(top[i])){outline[i]=outline[i+1]=NaN;continue}outline[i]=top[i],outline[i+1]=top[i+1]}N=this.#getOutlineEnd(outline,N);for(let i=bottom.
+length-6;i>=6;i-=6)for(let j=0;j<6;j+=2){if(isNaN(bottom[i+j])){outline[N]=outline[N+1]=NaN,N+=2;continue}outline[N]=bottom[i+j],outline[N+1]=bottom[i+j+1],N+=2}return this.#getOutlineStart(outline,N),this.newFreeDrawOutline(outline,points,this.#box,this.#scaleFactor,this.#innerMargin,this.#isLTR)}#getOutlineTwoPoints(points){const last=this.#last,[layerX,layerY,layerWidth,layerHeight]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords(),outline=new Float32Array(36);return outline.
+set([NaN,NaN,NaN,NaN,(last[2]-layerX)/layerWidth,(last[3]-layerY)/layerHeight,NaN,NaN,NaN,NaN,(last[4]-layerX)/layerWidth,(last[5]-layerY)/layerHeight,NaN,NaN,NaN,NaN,lastTopX,lastTopY,NaN,NaN,NaN,NaN,lastBottomX,lastBottomY,NaN,NaN,NaN,NaN,(last[16]-layerX)/layerWidth,(last[17]-layerY)/layerHeight,NaN,NaN,NaN,NaN,(last[14]-layerX)/layerWidth,(last[15]-layerY)/layerHeight],0),this.newFreeDrawOutline(outline,points,this.#box,this.#scaleFactor,this.#innerMargin,this.#isLTR)}#getOutlineStart(outline,pos){
+const bottom=this.#bottom;return outline.set([NaN,NaN,NaN,NaN,bottom[4],bottom[5]],pos),pos+=6}#getOutlineEnd(outline,pos){const lastTop=this.#last.subarray(4,6),lastBottom=this.#last.subarray(16,18),[layerX,layerY,layerWidth,layerHeight]=this.#box,[lastTopX,lastTopY,lastBottomX,lastBottomY]=this.#getLastCoords();return outline.set([NaN,NaN,NaN,NaN,(lastTop[0]-layerX)/layerWidth,(lastTop[1]-layerY)/layerHeight,NaN,NaN,NaN,NaN,lastTopX,lastTopY,NaN,NaN,NaN,NaN,lastBottomX,lastBottomY,NaN,NaN,NaN,
+NaN,(lastBottom[0]-layerX)/layerWidth,(lastBottom[1]-layerY)/layerHeight],pos),pos+=24}}class FreeDrawOutline extends Outline{#box;#bbox=new Float32Array(4);#innerMargin;#isLTR;#points;#scaleFactor;#outline;constructor(outline,points,box2,scaleFactor,innerMargin,isLTR){super(),this.#outline=outline,this.#points=points,this.#box=box2,this.#scaleFactor=scaleFactor,this.#innerMargin=innerMargin,this.#isLTR=isLTR,this.lastPoint=[NaN,NaN],this.#computeMinMax(isLTR);const[x,y,width,height]=this.#bbox;
+for(let i=0,ii=outline.length;i<ii;i+=2)outline[i]=(outline[i]-x)/width,outline[i+1]=(outline[i+1]-y)/height;for(let i=0,ii=points.length;i<ii;i+=2)points[i]=(points[i]-x)/width,points[i+1]=(points[i+1]-y)/height}toSVGPath(){const buffer=[`M${this.#outline[4]} ${this.#outline[5]}`];for(let i=6,ii=this.#outline.length;i<ii;i+=6){if(isNaN(this.#outline[i])){buffer.push(`L${this.#outline[i+4]} ${this.#outline[i+5]}`);continue}buffer.push(`C${this.#outline[i]} ${this.#outline[i+1]} ${this.#outline[i+
+2]} ${this.#outline[i+3]} ${this.#outline[i+4]} ${this.#outline[i+5]}`)}return buffer.push("Z"),buffer.join(" ")}serialize([blX,blY,trX,trY],rotation){const width=trX-blX,height=trY-blY;let outline,points;switch(rotation){case 0:outline=Outline._rescale(this.#outline,blX,trY,width,-height),points=Outline._rescale(this.#points,blX,trY,width,-height);break;case 90:outline=Outline._rescaleAndSwap(this.#outline,blX,blY,width,height),points=Outline._rescaleAndSwap(this.#points,blX,blY,width,height);break;case 180:
+outline=Outline._rescale(this.#outline,trX,blY,-width,height),points=Outline._rescale(this.#points,trX,blY,-width,height);break;case 270:outline=Outline._rescaleAndSwap(this.#outline,trX,trY,-width,-height),points=Outline._rescaleAndSwap(this.#points,trX,trY,-width,-height);break}return{outline:Array.from(outline),points:[Array.from(points)]}}#computeMinMax(isLTR){const outline=this.#outline;let lastX=outline[4],lastY=outline[5];const minMax=[lastX,lastY,lastX,lastY];let lastPointX=lastX,lastPointY=lastY;
+const ltrCallback=isLTR?Math.max:Math.min;for(let i=6,ii=outline.length;i<ii;i+=6){const x=outline[i+4],y=outline[i+5];if(isNaN(outline[i]))Util.pointBoundingBox(x,y,minMax),lastPointY<y?(lastPointX=x,lastPointY=y):lastPointY===y&&(lastPointX=ltrCallback(lastPointX,x));else{const bbox2=[1/0,1/0,-1/0,-1/0];Util.bezierBoundingBox(lastX,lastY,...outline.slice(i,i+6),bbox2),Util.rectBoundingBox(...bbox2,minMax),lastPointY<bbox2[3]?(lastPointX=bbox2[2],lastPointY=bbox2[3]):lastPointY===bbox2[3]&&(lastPointX=
+ltrCallback(lastPointX,bbox2[2]))}lastX=x,lastY=y}const bbox=this.#bbox;bbox[0]=minMax[0]-this.#innerMargin,bbox[1]=minMax[1]-this.#innerMargin,bbox[2]=minMax[2]-minMax[0]+2*this.#innerMargin,bbox[3]=minMax[3]-minMax[1]+2*this.#innerMargin,this.lastPoint=[lastPointX,lastPointY]}get box(){return this.#bbox}newOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin=0){return new FreeDrawOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin)}getNewOutline(thickness,innerMargin){const[x,
+y,width,height]=this.#bbox,[layerX,layerY,layerWidth,layerHeight]=this.#box,sx=width*layerWidth,sy=height*layerHeight,tx=x*layerWidth+layerX,ty=y*layerHeight+layerY,outliner=this.newOutliner({x:this.#points[0]*sx+tx,y:this.#points[1]*sy+ty},this.#box,this.#scaleFactor,thickness,this.#isLTR,innerMargin??this.#innerMargin);for(let i=2;i<this.#points.length;i+=2)outliner.add({x:this.#points[i]*sx+tx,y:this.#points[i+1]*sy+ty});return outliner.getOutlines()}}class HighlightOutliner{#box;#lastPoint;#verticalEdges=[];#intervals=[];constructor(boxes,borderWidth=0,innerMargin=0,isLTR=!0){
+const minMax=[1/0,1/0,-1/0,-1/0],EPSILON=10**-4;for(const{x,y,width,height}of boxes){const x1=Math.floor((x-borderWidth)/EPSILON)*EPSILON,x2=Math.ceil((x+width+borderWidth)/EPSILON)*EPSILON,y1=Math.floor((y-borderWidth)/EPSILON)*EPSILON,y2=Math.ceil((y+height+borderWidth)/EPSILON)*EPSILON,left=[x1,y1,y2,!0],right=[x2,y1,y2,!1];this.#verticalEdges.push(left,right),Util.rectBoundingBox(x1,y1,x2,y2,minMax)}const bboxWidth=minMax[2]-minMax[0]+2*innerMargin,bboxHeight=minMax[3]-minMax[1]+2*innerMargin,
+shiftedMinX=minMax[0]-innerMargin,shiftedMinY=minMax[1]-innerMargin,lastEdge=this.#verticalEdges.at(isLTR?-1:-2),lastPoint=[lastEdge[0],lastEdge[2]];for(const edge of this.#verticalEdges){const[x,y1,y2]=edge;edge[0]=(x-shiftedMinX)/bboxWidth,edge[1]=(y1-shiftedMinY)/bboxHeight,edge[2]=(y2-shiftedMinY)/bboxHeight}this.#box=new Float32Array([shiftedMinX,shiftedMinY,bboxWidth,bboxHeight]),this.#lastPoint=lastPoint}getOutlines(){this.#verticalEdges.sort((a,b)=>a[0]-b[0]||a[1]-b[1]||a[2]-b[2]);const outlineVerticalEdges=[];
+for(const edge of this.#verticalEdges)edge[3]?(outlineVerticalEdges.push(...this.#breakEdge(edge)),this.#insert(edge)):(this.#remove(edge),outlineVerticalEdges.push(...this.#breakEdge(edge)));return this.#getOutlines(outlineVerticalEdges)}#getOutlines(outlineVerticalEdges){const edges=[],allEdges=new Set;for(const edge of outlineVerticalEdges){const[x,y1,y2]=edge;edges.push([x,y1,edge],[x,y2,edge])}edges.sort((a,b)=>a[1]-b[1]||a[0]-b[0]);for(let i=0,ii=edges.length;i<ii;i+=2){const edge1=edges[i][2],
+edge2=edges[i+1][2];edge1.push(edge2),edge2.push(edge1),allEdges.add(edge1),allEdges.add(edge2)}const outlines=[];let outline;for(;allEdges.size>0;){const edge=allEdges.values().next().value;let[x,y1,y2,edge1,edge2]=edge;allEdges.delete(edge);let lastPointX=x,lastPointY=y1;for(outline=[x,y2],outlines.push(outline);;){let e;if(allEdges.has(edge1))e=edge1;else if(allEdges.has(edge2))e=edge2;else break;allEdges.delete(e),[x,y1,y2,edge1,edge2]=e,lastPointX!==x&&(outline.push(lastPointX,lastPointY,x,
+lastPointY===y1?y1:y2),lastPointX=x),lastPointY=lastPointY===y1?y2:y1}outline.push(lastPointX,lastPointY)}return new HighlightOutline(outlines,this.#box,this.#lastPoint)}#binarySearch(y){const array2=this.#intervals;let start2=0,end=array2.length-1;for(;start2<=end;){const middle=start2+end>>1,y1=array2[middle][0];if(y1===y)return middle;y1<y?start2=middle+1:end=middle-1}return end+1}#insert([,y1,y2]){const index2=this.#binarySearch(y1);this.#intervals.splice(index2,0,[y1,y2])}#remove([,y1,y2]){
+const index2=this.#binarySearch(y1);for(let i=index2;i<this.#intervals.length;i++){const[start2,end]=this.#intervals[i];if(start2!==y1)break;if(start2===y1&&end===y2){this.#intervals.splice(i,1);return}}for(let i=index2-1;i>=0;i--){const[start2,end]=this.#intervals[i];if(start2!==y1)break;if(start2===y1&&end===y2){this.#intervals.splice(i,1);return}}}#breakEdge(edge){const[x,y1,y2]=edge,results=[[x,y1,y2]],index2=this.#binarySearch(y2);for(let i=0;i<index2;i++){const[start2,end]=this.#intervals[i];
+for(let j=0,jj=results.length;j<jj;j++){const[,y3,y4]=results[j];if(!(end<=y3||y4<=start2)){if(y3>=start2){if(y4>end)results[j][1]=end;else{if(jj===1)return[];results.splice(j,1),j--,jj--}continue}results[j][2]=start2,y4>end&&results.push([x,end,y4])}}}return results}}class HighlightOutline extends Outline{#box;#outlines;constructor(outlines,box2,lastPoint){super(),this.#outlines=outlines,this.#box=box2,this.lastPoint=lastPoint}toSVGPath(){const buffer=[];for(const polygon of this.#outlines){let[
+prevX,prevY]=polygon;buffer.push(`M${prevX} ${prevY}`);for(let i=2;i<polygon.length;i+=2){const x=polygon[i],y=polygon[i+1];x===prevX?(buffer.push(`V${y}`),prevY=y):y===prevY&&(buffer.push(`H${x}`),prevX=x)}buffer.push("Z")}return buffer.join(" ")}serialize([blX,blY,trX,trY],_rotation){const outlines=[],width=trX-blX,height=trY-blY;for(const outline of this.#outlines){const points=new Array(outline.length);for(let i=0;i<outline.length;i+=2)points[i]=blX+outline[i]*width,points[i+1]=trY-outline[i+
+1]*height;outlines.push(points)}return outlines}get box(){return this.#box}get classNamesForOutlining(){return["highlightOutline"]}}class FreeHighlightOutliner extends FreeDrawOutliner{newFreeDrawOutline(outline,points,box2,scaleFactor,innerMargin,isLTR){return new FreeHighlightOutline(outline,points,box2,scaleFactor,innerMargin,isLTR)}}class FreeHighlightOutline extends FreeDrawOutline{newOutliner(point2,box2,scaleFactor,thickness,isLTR,innerMargin=0){return new FreeHighlightOutliner(point2,box2,
+scaleFactor,thickness,isLTR,innerMargin)}}class HighlightEditor extends AnnotationEditor{#anchorNode=null;#anchorOffset=0;#boxes;#clipPathId=null;#colorPicker=null;#focusOutlines=null;#focusNode=null;#focusOffset=0;#highlightDiv=null;#highlightOutlines=null;#id=null;#isFreeHighlight=!1;#lastPoint=null;#opacity;#outlineId=null;#text="";#thickness;#methodOfCreation="";static _defaultColor=null;static _defaultOpacity=1;static _defaultThickness=12;static _type="highlight";static _editorType=AnnotationEditorType.
+HIGHLIGHT;static _freeHighlightId=-1;static _freeHighlight=null;static _freeHighlightClipId="";static get _keyboardManager(){const proto=HighlightEditor.prototype;return shadow(this,"_keyboardManager",new KeyboardManager([[["ArrowLeft","mac+ArrowLeft"],proto._moveCaret,{args:[0]}],[["ArrowRight","mac+ArrowRight"],proto._moveCaret,{args:[1]}],[["ArrowUp","mac+ArrowUp"],proto._moveCaret,{args:[2]}],[["ArrowDown","mac+ArrowDown"],proto._moveCaret,{args:[3]}]]))}constructor(params){super({...params,
+name:"highlightEditor"}),this.color=params.color||HighlightEditor._defaultColor,this.#thickness=params.thickness||HighlightEditor._defaultThickness,this.#opacity=params.opacity||HighlightEditor._defaultOpacity,this.#boxes=params.boxes||null,this.#methodOfCreation=params.methodOfCreation||"",this.#text=params.text||"",this._isDraggable=!1,this.defaultL10nId="pdfjs-editor-highlight-editor",params.highlightId>-1?(this.#isFreeHighlight=!0,this.#createFreeOutlines(params),this.#addToDrawLayer()):this.#boxes&&
+(this.#anchorNode=params.anchorNode,this.#anchorOffset=params.anchorOffset,this.#focusNode=params.focusNode,this.#focusOffset=params.focusOffset,this.#createOutlines(),this.#addToDrawLayer(),this.rotate(this.rotation)),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-highlight-added-alert")}get telemetryInitialData(){return{action:"added",type:this.#isFreeHighlight?"free_highlight":"highlight",color:this._uiManager.getNonHCMColorName(this.color),thickness:this.#thickness,methodOfCreation:this.#methodOfCreation}}get telemetryFinalData(){
+return{type:"highlight",color:this._uiManager.getNonHCMColorName(this.color)}}get commentColor(){return this.color}static computeTelemetryFinalData(data){return{numberOfColors:data.get("color").size}}#createOutlines(){const outliner=new HighlightOutliner(this.#boxes,.001);this.#highlightOutlines=outliner.getOutlines(),[this.x,this.y,this.width,this.height]=this.#highlightOutlines.box;const outlinerForOutline=new HighlightOutliner(this.#boxes,.0025,.001,this._uiManager.direction==="ltr");this.#focusOutlines=
+outlinerForOutline.getOutlines();const{lastPoint}=this.#focusOutlines;this.#lastPoint=[(lastPoint[0]-this.x)/this.width,(lastPoint[1]-this.y)/this.height]}#createFreeOutlines({highlightOutlines,highlightId,clipPathId}){this.#highlightOutlines=highlightOutlines;const extraThickness=1.5;if(this.#focusOutlines=highlightOutlines.getNewOutline(this.#thickness/2+extraThickness,.0025),highlightId>=0)this.#id=highlightId,this.#clipPathId=clipPathId,this.parent.drawLayer.finalizeDraw(highlightId,{bbox:highlightOutlines.
+box,path:{d:highlightOutlines.toSVGPath()}}),this.#outlineId=this.parent.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:!0},bbox:this.#focusOutlines.box,path:{d:this.#focusOutlines.toSVGPath()}},!0);else if(this.parent){const angle=this.parent.viewport.rotation;this.parent.drawLayer.updateProperties(this.#id,{bbox:HighlightEditor.#rotateBbox(this.#highlightOutlines.box,(angle-this.rotation+360)%360),path:{d:highlightOutlines.toSVGPath()}}),this.parent.drawLayer.updateProperties(this.#outlineId,
+{bbox:HighlightEditor.#rotateBbox(this.#focusOutlines.box,angle),path:{d:this.#focusOutlines.toSVGPath()}})}const[x,y,width,height]=highlightOutlines.box;switch(this.rotation){case 0:this.x=x,this.y=y,this.width=width,this.height=height;break;case 90:{const[pageWidth,pageHeight]=this.parentDimensions;this.x=y,this.y=1-x,this.width=width*pageHeight/pageWidth,this.height=height*pageWidth/pageHeight;break}case 180:this.x=1-x,this.y=1-y,this.width=width,this.height=height;break;case 270:{const[pageWidth,
+pageHeight]=this.parentDimensions;this.x=1-y,this.y=x,this.width=width*pageHeight/pageWidth,this.height=height*pageWidth/pageHeight;break}}const{lastPoint}=this.#focusOutlines;this.#lastPoint=[(lastPoint[0]-x)/width,(lastPoint[1]-y)/height]}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager),HighlightEditor._defaultColor||=uiManager.highlightColors?.values().next().value||"#fff066"}static updateDefaultParams(type2,value){switch(type2){case AnnotationEditorParamsType.HIGHLIGHT_COLOR:
+HighlightEditor._defaultColor=value;break;case AnnotationEditorParamsType.HIGHLIGHT_THICKNESS:HighlightEditor._defaultThickness=value;break}}translateInPage(x,y){}get toolbarPosition(){return this.#lastPoint}updateParams(type2,value){switch(type2){case AnnotationEditorParamsType.HIGHLIGHT_COLOR:this.#updateColor(value);break;case AnnotationEditorParamsType.HIGHLIGHT_THICKNESS:this.#updateThickness(value);break}}static get defaultPropertiesToUpdate(){return[[AnnotationEditorParamsType.HIGHLIGHT_COLOR,
+HighlightEditor._defaultColor],[AnnotationEditorParamsType.HIGHLIGHT_THICKNESS,HighlightEditor._defaultThickness]]}get propertiesToUpdate(){return[[AnnotationEditorParamsType.HIGHLIGHT_COLOR,this.color||HighlightEditor._defaultColor],[AnnotationEditorParamsType.HIGHLIGHT_THICKNESS,this.#thickness||HighlightEditor._defaultThickness],[AnnotationEditorParamsType.HIGHLIGHT_FREE,this.#isFreeHighlight]]}#updateColor(color){const setColorAndOpacity=(col,opa)=>{this.color=col,this.#opacity=opa,this.parent?.
+drawLayer.updateProperties(this.#id,{root:{fill:col,"fill-opacity":opa}}),this.#colorPicker?.updateColor(col)},savedColor=this.color,savedOpacity=this.#opacity;this.addCommands({cmd:setColorAndOpacity.bind(this,color,HighlightEditor._defaultOpacity),undo:setColorAndOpacity.bind(this,savedColor,savedOpacity),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.HIGHLIGHT_COLOR,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"color_\
+changed",color:this._uiManager.getNonHCMColorName(color)},!0)}#updateThickness(thickness){const savedThickness=this.#thickness,setThickness=th=>{this.#thickness=th,this.#changeThickness(th)};this.addCommands({cmd:setThickness.bind(this,thickness),undo:setThickness.bind(this,savedThickness),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:AnnotationEditorParamsType.INK_THICKNESS,overwriteIfSameType:!0,keepUndo:!0}),this._reportTelemetry({action:"thickness_changed",thickness},
+!0)}get toolbarButtons(){return this._uiManager.highlightColors?[["colorPicker",this.#colorPicker=new ColorPicker({editor:this})]]:super.toolbarButtons}disableEditing(){super.disableEditing(),this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}fixAndSetPosition(){return super.fixAndSetPosition(this.#getRotation())}getBaseTranslation(){return[0,0]}getRect(tx,ty){return super.getRect(tx,ty,this.#getRotation())}onceAdded(focus2){this.
+annotationElementId||this.parent.addUndoableEditor(this),focus2&&this.div.focus()}remove(){this.#cleanDrawLayer(),this._reportTelemetry({action:"deleted"}),super.remove()}rebuild(){this.parent&&(super.rebuild(),this.div!==null&&(this.#addToDrawLayer(),this.isAttachedToDOM||this.parent.add(this)))}setParent(parent){let mustBeSelected=!1;this.parent&&!parent?this.#cleanDrawLayer():parent&&(this.#addToDrawLayer(parent),mustBeSelected=!this.parent&&this.div?.classList.contains("selectedEditor")),super.
+setParent(parent),this.show(this._isVisible),mustBeSelected&&this.select()}#changeThickness(thickness){if(!this.#isFreeHighlight)return;this.#createFreeOutlines({highlightOutlines:this.#highlightOutlines.getNewOutline(thickness/2)}),this.fixAndSetPosition();const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(this.width*parentWidth,this.height*parentHeight)}#cleanDrawLayer(){this.#id===null||!this.parent||(this.parent.drawLayer.remove(this.#id),this.#id=null,this.parent.drawLayer.remove(
+this.#outlineId),this.#outlineId=null)}#addToDrawLayer(parent=this.parent){this.#id===null&&({id:this.#id,clipPathId:this.#clipPathId}=parent.drawLayer.draw({bbox:this.#highlightOutlines.box,root:{viewBox:"0 0 1 1",fill:this.color,"fill-opacity":this.#opacity},rootClass:{highlight:!0,free:this.#isFreeHighlight},path:{d:this.#highlightOutlines.toSVGPath()}},!1,!0),this.#outlineId=parent.drawLayer.drawOutline({rootClass:{highlightOutline:!0,free:this.#isFreeHighlight},bbox:this.#focusOutlines.box,
+path:{d:this.#focusOutlines.toSVGPath()}},this.#isFreeHighlight),this.#highlightDiv&&(this.#highlightDiv.style.clipPath=this.#clipPathId))}static#rotateBbox([x,y,width,height],angle){switch(angle){case 90:return[1-y-height,x,height,width];case 180:return[1-x-width,1-y-height,width,height];case 270:return[y,1-x-width,height,width]}return[x,y,width,height]}rotate(angle){const{drawLayer}=this.parent;let box2;this.#isFreeHighlight?(angle=(angle-this.rotation+360)%360,box2=HighlightEditor.#rotateBbox(
+this.#highlightOutlines.box,angle)):box2=HighlightEditor.#rotateBbox([this.x,this.y,this.width,this.height],angle),drawLayer.updateProperties(this.#id,{bbox:box2,root:{"data-main-rotation":angle}}),drawLayer.updateProperties(this.#outlineId,{bbox:HighlightEditor.#rotateBbox(this.#focusOutlines.box,angle),root:{"data-main-rotation":angle}})}render(){if(this.div)return this.div;const div=super.render();this.#text&&(div.setAttribute("aria-label",this.#text),div.setAttribute("role","mark")),this.#isFreeHighlight?
+div.classList.add("free"):this.div.addEventListener("keydown",this.#keydown.bind(this),{signal:this._uiManager._signal});const highlightDiv=this.#highlightDiv=document.createElement("div");div.append(highlightDiv),highlightDiv.setAttribute("aria-hidden","true"),highlightDiv.className="internal",highlightDiv.style.clipPath=this.#clipPathId;const[parentWidth,parentHeight]=this.parentDimensions;return this.setDims(this.width*parentWidth,this.height*parentHeight),bindEvents(this,this.#highlightDiv,[
+"pointerover","pointerleave"]),this.enableEditing(),div}pointerover(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!0}})}pointerleave(){this.isSelected||this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!1}})}#keydown(event2){HighlightEditor._keyboardManager.exec(this,event2)}_moveCaret(direction){switch(this.parent.unselect(this),direction){case 0:case 2:this.#setCaret(!0);break;case 1:case 3:this.#setCaret(!1);break}}#setCaret(start2){
+if(!this.#anchorNode)return;const selection=window.getSelection();start2?selection.setPosition(this.#anchorNode,this.#anchorOffset):selection.setPosition(this.#focusNode,this.#focusOffset)}select(){super.select(),this.#outlineId&&this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{hovered:!1,selected:!0}})}unselect(){super.unselect(),this.#outlineId&&(this.parent?.drawLayer.updateProperties(this.#outlineId,{rootClass:{selected:!1}}),this.#isFreeHighlight||this.#setCaret(!1))}get _mustFixPosition(){
+return!this.#isFreeHighlight}show(visible=this._isVisible){super.show(visible),this.parent&&(this.parent.drawLayer.updateProperties(this.#id,{rootClass:{hidden:!visible}}),this.parent.drawLayer.updateProperties(this.#outlineId,{rootClass:{hidden:!visible}}))}#getRotation(){return this.#isFreeHighlight?this.rotation:0}#serializeBoxes(){if(this.#isFreeHighlight)return null;const[pageWidth,pageHeight]=this.pageDimensions,[pageX,pageY]=this.pageTranslation,boxes=this.#boxes,quadPoints=new Float32Array(
+boxes.length*8);let i=0;for(const{x,y,width,height}of boxes){const sx=x*pageWidth+pageX,sy=(1-y)*pageHeight+pageY;quadPoints[i]=quadPoints[i+4]=sx,quadPoints[i+1]=quadPoints[i+3]=sy,quadPoints[i+2]=quadPoints[i+6]=sx+width*pageWidth,quadPoints[i+5]=quadPoints[i+7]=sy-height*pageHeight,i+=8}return quadPoints}#serializeOutlines(rect){return this.#highlightOutlines.serialize(rect,this.#getRotation())}static startHighlighting(parent,isLTR,{target:textLayer,x,y}){const{x:layerX,y:layerY,width:parentWidth,
+height:parentHeight}=textLayer.getBoundingClientRect(),ac=new AbortController,signal=parent.combinedSignal(ac),pointerUpCallback=e=>{ac.abort(),this.#endHighlight(parent,e)};window.addEventListener("blur",pointerUpCallback,{signal}),window.addEventListener("pointerup",pointerUpCallback,{signal}),window.addEventListener("pointerdown",stopEvent,{capture:!0,passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),textLayer.addEventListener("pointermove",this.#highlightMove.
+bind(this,parent),{signal}),this._freeHighlight=new FreeHighlightOutliner({x,y},[layerX,layerY,parentWidth,parentHeight],parent.scale,this._defaultThickness/2,isLTR,.001),{id:this._freeHighlightId,clipPathId:this._freeHighlightClipId}=parent.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:this._defaultColor,"fill-opacity":this._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:this._freeHighlight.toSVGPath()}},!0,!0)}static#highlightMove(parent,event2){this._freeHighlight.add(
+event2)&&parent.drawLayer.updateProperties(this._freeHighlightId,{path:{d:this._freeHighlight.toSVGPath()}})}static#endHighlight(parent,event2){this._freeHighlight.isEmpty()?parent.drawLayer.remove(this._freeHighlightId):parent.createAndAddNewEditor(event2,!1,{highlightId:this._freeHighlightId,highlightOutlines:this._freeHighlight.getOutlines(),clipPathId:this._freeHighlightClipId,methodOfCreation:"main_toolbar"}),this._freeHighlightId=-1,this._freeHighlight=null,this._freeHighlightClipId=""}static async deserialize(data,parent,uiManager){
+let initialData=null;if(data instanceof HighlightAnnotationElement){const{data:{quadPoints:quadPoints2,rect,rotation,id:id2,color:color2,opacity:opacity2,popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.HIGHLIGHT,color:Array.from(color2),opacity:opacity2,quadPoints:quadPoints2,boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}else if(data instanceof
+InkAnnotationElement){const{data:{inkLists:inkLists2,rect,rotation,id:id2,color:color2,borderStyle:{rawWidth:thickness},popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.HIGHLIGHT,color:Array.from(color2),thickness,inkLists:inkLists2,boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const{color,quadPoints,inkLists,opacity}=data,editor=await super.
+deserialize(data,parent,uiManager);editor.color=Util.makeHexColor(...color),editor.#opacity=opacity||1,inkLists&&(editor.#thickness=data.thickness),editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment);const[pageWidth,pageHeight]=editor.pageDimensions,[pageX,pageY]=editor.pageTranslation;if(quadPoints){const boxes=editor.#boxes=[];for(let i=0;i<quadPoints.length;i+=8)boxes.push({x:(quadPoints[i]-pageX)/pageWidth,y:1-(quadPoints[i+1]-pageY)/pageHeight,width:(quadPoints[i+
+2]-quadPoints[i])/pageWidth,height:(quadPoints[i+1]-quadPoints[i+5])/pageHeight});editor.#createOutlines(),editor.#addToDrawLayer(),editor.rotate(editor.rotation)}else if(inkLists){editor.#isFreeHighlight=!0;const points=inkLists[0],point2={x:points[0]-pageX,y:pageHeight-(points[1]-pageY)},outliner=new FreeHighlightOutliner(point2,[0,0,pageWidth,pageHeight],1,editor.#thickness/2,!0,.001);for(let i=0,ii=points.length;i<ii;i+=2)point2.x=points[i]-pageX,point2.y=pageHeight-(points[i+1]-pageY),outliner.
+add(point2);const{id:id2,clipPathId}=parent.drawLayer.draw({bbox:[0,0,1,1],root:{viewBox:"0 0 1 1",fill:editor.color,"fill-opacity":editor._defaultOpacity},rootClass:{highlight:!0,free:!0},path:{d:outliner.toSVGPath()}},!0,!0);editor.#createFreeOutlines({highlightOutlines:outliner.getOutlines(),highlightId:id2,clipPathId}),editor.#addToDrawLayer(),editor.rotate(editor.parentRotation)}return editor}serialize(isForCopying=!1){if(this.isEmpty()||isForCopying)return null;if(this.deleted)return this.
+serializeDeleted();const rect=this.getRect(0,0),color=AnnotationEditor._colorManager.convert(this._uiManager.getNonHCMColor(this.color)),serialized={annotationType:AnnotationEditorType.HIGHLIGHT,color,opacity:this.#opacity,thickness:this.#thickness,quadPoints:this.#serializeBoxes(),outlines:this.#serializeOutlines(rect),pageIndex:this.pageIndex,rect,rotation:this.#getRotation(),structTreeParentId:this._structTreeParentId};return this.addComment(serialized),this.annotationElementId&&!this.#hasElementChanged(
+serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{color}=this._initialData;return this.hasEditedComment||serialized.color.some((c2,i)=>c2!==color[i])}renderAnnotationElement(annotation){const params={rect:this.getRect(0,0)};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(params),null}static canCreateNewEmptyEditor(){return!1}}class DrawingOptions{#svgProperties=Object.create(null);updateProperty(name,value){
+this[name]=value,this.updateSVGProperty(name,value)}updateProperties(properties2){if(properties2)for(const[name,value]of Object.entries(properties2))name.startsWith("_")||this.updateProperty(name,value)}updateSVGProperty(name,value){this.#svgProperties[name]=value}toSVGProperties(){const root2=this.#svgProperties;return this.#svgProperties=Object.create(null),{root:root2}}reset(){this.#svgProperties=Object.create(null)}updateAll(options=this){this.updateProperties(options)}clone(){unreachable("N\
+ot implemented")}}class DrawingEditor extends AnnotationEditor{#drawOutlines=null;#mustBeCommitted;_colorPicker=null;_drawId=null;static _currentDrawId=-1;static _currentParent=null;static#currentDraw=null;static#currentDrawingAC=null;static#currentDrawingOptions=null;static#currentPointerId=NaN;static#currentPointerType=null;static#currentPointerIds=null;static#currentMoveTimestamp=NaN;static _INNER_MARGIN=3;constructor(params){super(params),this.#mustBeCommitted=params.mustBeCommitted||!1,this.
+_addOutlines(params)}_addOutlines(params){params.drawOutlines&&(this.#createDrawOutlines(params),this.#addToDrawLayer())}#createDrawOutlines({drawOutlines,drawId,drawingOptions}){this.#drawOutlines=drawOutlines,this._drawingOptions||=drawingOptions,this.annotationElementId||this._uiManager.a11yAlert(`pdfjs-editor-${this.editorType}-added-alert`),drawId>=0?(this._drawId=drawId,this.parent.drawLayer.finalizeDraw(drawId,drawOutlines.defaultProperties)):this._drawId=this.#createDrawing(drawOutlines,
+this.parent),this.#updateBbox(drawOutlines.box)}#createDrawing(drawOutlines,parent){const{id:id2}=parent.drawLayer.draw(DrawingEditor._mergeSVGProperties(this._drawingOptions.toSVGProperties(),drawOutlines.defaultSVGProperties),!1,!1);return id2}static _mergeSVGProperties(p1,p2){const p1Keys=new Set(Object.keys(p1));for(const[key2,value]of Object.entries(p2))p1Keys.has(key2)?Object.assign(p1[key2],value):p1[key2]=value;return p1}static getDefaultDrawingOptions(_options){unreachable("Not implemen\
+ted")}static get typesMap(){unreachable("Not implemented")}static get isDrawer(){return!0}static get supportMultipleDrawings(){return!1}static updateDefaultParams(type2,value){const propertyName=this.typesMap.get(type2);propertyName&&this._defaultDrawingOptions.updateProperty(propertyName,value),this._currentParent&&(DrawingEditor.#currentDraw.updateProperty(propertyName,value),this._currentParent.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}updateParams(type2,value){
+const propertyName=this.constructor.typesMap.get(type2);propertyName&&this._updateProperty(type2,propertyName,value)}static get defaultPropertiesToUpdate(){const properties2=[],options=this._defaultDrawingOptions;for(const[type2,name]of this.typesMap)properties2.push([type2,options[name]]);return properties2}get propertiesToUpdate(){const properties2=[],{_drawingOptions}=this;for(const[type2,name]of this.constructor.typesMap)properties2.push([type2,_drawingOptions[name]]);return properties2}_updateProperty(type2,name,value){
+const options=this._drawingOptions,savedValue=options[name],setter=val=>{options.updateProperty(name,val);const bbox=this.#drawOutlines.updateProperty(name,val);bbox&&this.#updateBbox(bbox),this.parent?.drawLayer.updateProperties(this._drawId,options.toSVGProperties()),type2===this.colorType&&this._colorPicker?.update(val)};this.addCommands({cmd:setter.bind(this,value),undo:setter.bind(this,savedValue),post:this._uiManager.updateUI.bind(this._uiManager,this),mustExec:!0,type:type2,overwriteIfSameType:!0,
+keepUndo:!0})}_onResizing(){this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathResizingSVGProperties(this.#convertToDrawSpace()),{bbox:this.#rotateBox()}))}_onResized(){this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathResizedSVGProperties(this.#convertToDrawSpace()),{bbox:this.#rotateBox()}))}_onTranslating(_x,_y){this.parent?.drawLayer.updateProperties(this._drawId,{bbox:this.#rotateBox()})}_onTranslated(){
+this.parent?.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties(this.#drawOutlines.getPathTranslatedSVGProperties(this.#convertToDrawSpace(),this.parentDimensions),{bbox:this.#rotateBox()}))}_onStartDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!0}})}_onStopDragging(){this.parent?.drawLayer.updateProperties(this._drawId,{rootClass:{moving:!1}})}commit(){super.commit(),this.disableEditMode(),this.disableEditing()}disableEditing(){super.disableEditing(),
+this.div.classList.toggle("disabled",!0)}enableEditing(){super.enableEditing(),this.div.classList.toggle("disabled",!1)}getBaseTranslation(){return[0,0]}get isResizable(){return!0}onceAdded(focus2){this.annotationElementId||this.parent.addUndoableEditor(this),this._isDraggable=!0,this.#mustBeCommitted&&(this.#mustBeCommitted=!1,this.commit(),this.parent.setSelected(this),focus2&&this.isOnScreen&&this.div.focus())}remove(){this.#cleanDrawLayer(),super.remove()}rebuild(){this.parent&&(super.rebuild(),
+this.div!==null&&(this.#addToDrawLayer(),this.#updateBbox(this.#drawOutlines.box),this.isAttachedToDOM||this.parent.add(this)))}setParent(parent){let mustBeSelected=!1;this.parent&&!parent?(this._uiManager.removeShouldRescale(this),this.#cleanDrawLayer()):parent&&(this._uiManager.addShouldRescale(this),this.#addToDrawLayer(parent),mustBeSelected=!this.parent&&this.div?.classList.contains("selectedEditor")),super.setParent(parent),mustBeSelected&&this.select()}#cleanDrawLayer(){this._drawId===null||
+!this.parent||(this.parent.drawLayer.remove(this._drawId),this._drawId=null,this._drawingOptions.reset())}#addToDrawLayer(parent=this.parent){if(!(this._drawId!==null&&this.parent===parent)){if(this._drawId!==null){this.parent.drawLayer.updateParent(this._drawId,parent.drawLayer);return}this._drawingOptions.updateAll(),this._drawId=this.#createDrawing(this.#drawOutlines,parent)}}#convertToParentSpace([x,y,width,height]){const{parentDimensions:[pW,pH],rotation}=this;switch(rotation){case 90:return[
+y,1-x,width*(pH/pW),height*(pW/pH)];case 180:return[1-x,1-y,width,height];case 270:return[1-y,x,width*(pH/pW),height*(pW/pH)];default:return[x,y,width,height]}}#convertToDrawSpace(){const{x,y,width,height,parentDimensions:[pW,pH],rotation}=this;switch(rotation){case 90:return[1-y,x,width*(pW/pH),height*(pH/pW)];case 180:return[1-x,1-y,width,height];case 270:return[y,1-x,width*(pW/pH),height*(pH/pW)];default:return[x,y,width,height]}}#updateBbox(bbox){if([this.x,this.y,this.width,this.height]=this.#convertToParentSpace(
+bbox),this.div){this.fixAndSetPosition();const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(this.width*parentWidth,this.height*parentHeight)}this._onResized()}#rotateBox(){const{x,y,width,height,rotation,parentRotation,parentDimensions:[pW,pH]}=this;switch((rotation*4+parentRotation)/90){case 1:return[1-y-height,x,height,width];case 2:return[1-x-width,1-y-height,width,height];case 3:return[y,1-x-width,height,width];case 4:return[x,y-width*(pW/pH),height*(pH/pW),width*(pW/pH)];case 5:
+return[1-y,x,width*(pW/pH),height*(pH/pW)];case 6:return[1-x-height*(pH/pW),1-y,height*(pH/pW),width*(pW/pH)];case 7:return[y-width*(pW/pH),1-x-height*(pH/pW),width*(pW/pH),height*(pH/pW)];case 8:return[x-width,y-height,width,height];case 9:return[1-y,x-width,height,width];case 10:return[1-x,1-y,width,height];case 11:return[y-height,1-x,height,width];case 12:return[x-height*(pH/pW),y,height*(pH/pW),width*(pW/pH)];case 13:return[1-y-width*(pW/pH),x-height*(pH/pW),width*(pW/pH),height*(pH/pW)];case 14:
+return[1-x,1-y-width*(pW/pH),height*(pH/pW),width*(pW/pH)];case 15:return[y,1-x,width*(pW/pH),height*(pH/pW)];default:return[x,y,width,height]}}rotate(){this.parent&&this.parent.drawLayer.updateProperties(this._drawId,DrawingEditor._mergeSVGProperties({bbox:this.#rotateBox()},this.#drawOutlines.updateRotation((this.parentRotation-this.rotation+360)%360)))}onScaleChanging(){this.parent&&this.#updateBbox(this.#drawOutlines.updateParentDimensions(this.parentDimensions,this.parent.scale))}static onScaleChangingWhenDrawing(){}render(){
+if(this.div)return this.div;let baseX,baseY;this._isCopy&&(baseX=this.x,baseY=this.y);const div=super.render();div.classList.add("draw");const drawDiv=document.createElement("div");div.append(drawDiv),drawDiv.setAttribute("aria-hidden","true"),drawDiv.className="internal";const[parentWidth,parentHeight]=this.parentDimensions;return this.setDims(this.width*parentWidth,this.height*parentHeight),this._uiManager.addShouldRescale(this),this.disableEditing(),this._isCopy&&this._moveAfterPaste(baseX,baseY),
+div}static createDrawerInstance(_x,_y,_parentWidth,_parentHeight,_rotation){unreachable("Not implemented")}static startDrawing(parent,uiManager,_isLTR,event2){const{target:target2,offsetX:x,offsetY:y,pointerId,pointerType}=event2;if(DrawingEditor.#currentPointerType&&DrawingEditor.#currentPointerType!==pointerType)return;const{viewport:{rotation}}=parent,{width:parentWidth,height:parentHeight}=target2.getBoundingClientRect(),ac=DrawingEditor.#currentDrawingAC=new AbortController,signal=parent.combinedSignal(
+ac);if(DrawingEditor.#currentPointerId||=pointerId,DrawingEditor.#currentPointerType??=pointerType,window.addEventListener("pointerup",e=>{DrawingEditor.#currentPointerId===e.pointerId?this._endDraw(e):DrawingEditor.#currentPointerIds?.delete(e.pointerId)},{signal}),window.addEventListener("pointercancel",e=>{DrawingEditor.#currentPointerId===e.pointerId?this._currentParent.endDrawingSession():DrawingEditor.#currentPointerIds?.delete(e.pointerId)},{signal}),window.addEventListener("pointerdown",
+e=>{DrawingEditor.#currentPointerType===e.pointerType&&((DrawingEditor.#currentPointerIds||=new Set).add(e.pointerId),DrawingEditor.#currentDraw.isCancellable()&&(DrawingEditor.#currentDraw.removeLastElement(),DrawingEditor.#currentDraw.isEmpty()?this._currentParent.endDrawingSession(!0):this._endDraw(null)))},{capture:!0,passive:!1,signal}),window.addEventListener("contextmenu",noContextMenu,{signal}),target2.addEventListener("pointermove",this._drawMove.bind(this),{signal}),target2.addEventListener(
+"touchmove",e=>{e.timeStamp===DrawingEditor.#currentMoveTimestamp&&stopEvent(e)},{signal}),parent.toggleDrawing(),uiManager._editorUndoBar?.hide(),DrawingEditor.#currentDraw){parent.drawLayer.updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.startNew(x,y,parentWidth,parentHeight,rotation));return}uiManager.updateUIForDefaultProperties(this),DrawingEditor.#currentDraw=this.createDrawerInstance(x,y,parentWidth,parentHeight,rotation),DrawingEditor.#currentDrawingOptions=this.getDefaultDrawingOptions(),
+this._currentParent=parent,{id:this._currentDrawId}=parent.drawLayer.draw(this._mergeSVGProperties(DrawingEditor.#currentDrawingOptions.toSVGProperties(),DrawingEditor.#currentDraw.defaultSVGProperties),!0,!1)}static _drawMove(event2){if(DrawingEditor.#currentMoveTimestamp=-1,!DrawingEditor.#currentDraw)return;const{offsetX,offsetY,pointerId}=event2;if(DrawingEditor.#currentPointerId===pointerId){if(DrawingEditor.#currentPointerIds?.size>=1){this._endDraw(event2);return}this._currentParent.drawLayer.
+updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.add(offsetX,offsetY)),DrawingEditor.#currentMoveTimestamp=event2.timeStamp,stopEvent(event2)}}static _cleanup(all2){all2&&(this._currentDrawId=-1,this._currentParent=null,DrawingEditor.#currentDraw=null,DrawingEditor.#currentDrawingOptions=null,DrawingEditor.#currentPointerType=null,DrawingEditor.#currentMoveTimestamp=NaN),DrawingEditor.#currentDrawingAC&&(DrawingEditor.#currentDrawingAC.abort(),DrawingEditor.#currentDrawingAC=null,
+DrawingEditor.#currentPointerId=NaN,DrawingEditor.#currentPointerIds=null)}static _endDraw(event2){const parent=this._currentParent;if(parent){if(parent.toggleDrawing(!0),this._cleanup(!1),event2?.target===parent.div&&parent.drawLayer.updateProperties(this._currentDrawId,DrawingEditor.#currentDraw.end(event2.offsetX,event2.offsetY)),this.supportMultipleDrawings){const draw=DrawingEditor.#currentDraw,drawId=this._currentDrawId,lastElement=draw.getLastElement();parent.addCommands({cmd:()=>{parent.
+drawLayer.updateProperties(drawId,draw.setLastElement(lastElement))},undo:()=>{parent.drawLayer.updateProperties(drawId,draw.removeLastElement())},mustExec:!1,type:AnnotationEditorParamsType.DRAW_STEP});return}this.endDrawing(!1)}}static endDrawing(isAborted){const parent=this._currentParent;if(!parent)return null;if(parent.toggleDrawing(!0),parent.cleanUndoStack(AnnotationEditorParamsType.DRAW_STEP),!DrawingEditor.#currentDraw.isEmpty()){const{pageDimensions:[pageWidth,pageHeight],scale:scale2}=parent,
+editor=parent.createAndAddNewEditor({offsetX:0,offsetY:0},!1,{drawId:this._currentDrawId,drawOutlines:DrawingEditor.#currentDraw.getOutlines(pageWidth*scale2,pageHeight*scale2,scale2,this._INNER_MARGIN),drawingOptions:DrawingEditor.#currentDrawingOptions,mustBeCommitted:!isAborted});return this._cleanup(!0),editor}return parent.drawLayer.remove(this._currentDrawId),this._cleanup(!0),null}createDrawingOptions(_data){}static deserializeDraw(_pageX,_pageY,_pageWidth,_pageHeight,_innerWidth,_data){unreachable(
+"Not implemented")}static async deserialize(data,parent,uiManager){const{rawDims:{pageWidth,pageHeight,pageX,pageY}}=parent.viewport,drawOutlines=this.deserializeDraw(pageX,pageY,pageWidth,pageHeight,this._INNER_MARGIN,data),editor=await super.deserialize(data,parent,uiManager);return editor.createDrawingOptions(data),editor.#createDrawOutlines({drawOutlines}),editor.#addToDrawLayer(),editor.onScaleChanging(),editor.rotate(),editor}serializeDraw(isForCopying){const[pageX,pageY]=this.pageTranslation,
+[pageWidth,pageHeight]=this.pageDimensions;return this.#drawOutlines.serialize([pageX,pageY,pageWidth,pageHeight],isForCopying)}renderAnnotationElement(annotation){return annotation.updateEdited({rect:this.getRect(0,0)}),null}static canCreateNewEmptyEditor(){return!1}}class InkDrawOutliner{#last=new Float64Array(6);#line;#lines;#rotation;#thickness;#points;#lastSVGPath="";#lastIndex=0;#outlines=new InkDrawOutline;#parentWidth;#parentHeight;constructor(x,y,parentWidth,parentHeight,rotation,thickness){
+this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#rotation=rotation,this.#thickness=thickness,[x,y]=this.#normalizePoint(x,y);const line=this.#line=[NaN,NaN,NaN,NaN,x,y];this.#points=[x,y],this.#lines=[{line,points:this.#points}],this.#last.set(line,0)}updateProperty(name,value){name==="stroke-width"&&(this.#thickness=value)}#normalizePoint(x,y){return Outline._normalizePoint(x,y,this.#parentWidth,this.#parentHeight,this.#rotation)}isEmpty(){return!this.#lines||this.#lines.length===
+0}isCancellable(){return this.#points.length<=10}add(x,y){[x,y]=this.#normalizePoint(x,y);const[x1,y1,x2,y2]=this.#last.subarray(2,6),diffX=x-x2,diffY=y-y2;return Math.hypot(this.#parentWidth*diffX,this.#parentHeight*diffY)<=2?null:(this.#points.push(x,y),isNaN(x1)?(this.#last.set([x2,y2,x,y],2),this.#line.push(NaN,NaN,NaN,NaN,x,y),{path:{d:this.toSVGPath()}}):(isNaN(this.#last[0])&&this.#line.splice(6,6),this.#last.set([x1,y1,x2,y2,x,y],0),this.#line.push(...Outline.createBezierPoints(x1,y1,x2,
+y2,x,y)),{path:{d:this.toSVGPath()}}))}end(x,y){const change=this.add(x,y);return change||(this.#points.length===2?{path:{d:this.toSVGPath()}}:null)}startNew(x,y,parentWidth,parentHeight,rotation){this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#rotation=rotation,[x,y]=this.#normalizePoint(x,y);const line=this.#line=[NaN,NaN,NaN,NaN,x,y];this.#points=[x,y];const last=this.#lines.at(-1);return last&&(last.line=new Float32Array(last.line),last.points=new Float32Array(last.points)),
+this.#lines.push({line,points:this.#points}),this.#last.set(line,0),this.#lastIndex=0,this.toSVGPath(),null}getLastElement(){return this.#lines.at(-1)}setLastElement(element2){return this.#lines?(this.#lines.push(element2),this.#line=element2.line,this.#points=element2.points,this.#lastIndex=0,{path:{d:this.toSVGPath()}}):this.#outlines.setLastElement(element2)}removeLastElement(){if(!this.#lines)return this.#outlines.removeLastElement();this.#lines.pop(),this.#lastSVGPath="";for(let i=0,ii=this.#lines.
+length;i<ii;i++){const{line,points}=this.#lines[i];this.#line=line,this.#points=points,this.#lastIndex=0,this.toSVGPath()}return{path:{d:this.#lastSVGPath}}}toSVGPath(){const firstX=Outline.svgRound(this.#line[4]),firstY=Outline.svgRound(this.#line[5]);if(this.#points.length===2)return this.#lastSVGPath=`${this.#lastSVGPath} M ${firstX} ${firstY} Z`,this.#lastSVGPath;if(this.#points.length<=6){const i=this.#lastSVGPath.lastIndexOf("M");this.#lastSVGPath=`${this.#lastSVGPath.slice(0,i)} M ${firstX}\
+ ${firstY}`,this.#lastIndex=6}if(this.#points.length===4){const secondX=Outline.svgRound(this.#line[10]),secondY=Outline.svgRound(this.#line[11]);return this.#lastSVGPath=`${this.#lastSVGPath} L ${secondX} ${secondY}`,this.#lastIndex=12,this.#lastSVGPath}const buffer=[];this.#lastIndex===0&&(buffer.push(`M ${firstX} ${firstY}`),this.#lastIndex=6);for(let i=this.#lastIndex,ii=this.#line.length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=this.#line.slice(i,i+6).map(Outline.svgRound);buffer.push(`C${c1x}\
+ ${c1y} ${c2x} ${c2y} ${x} ${y}`)}return this.#lastSVGPath+=buffer.join(" "),this.#lastIndex=this.#line.length,this.#lastSVGPath}getOutlines(parentWidth,parentHeight,scale2,innerMargin){const last=this.#lines.at(-1);return last.line=new Float32Array(last.line),last.points=new Float32Array(last.points),this.#outlines.build(this.#lines,parentWidth,parentHeight,scale2,this.#rotation,this.#thickness,innerMargin),this.#last=null,this.#line=null,this.#lines=null,this.#lastSVGPath=null,this.#outlines}get defaultSVGProperties(){
+return{root:{viewBox:"0 0 10000 10000"},rootClass:{draw:!0},bbox:[0,0,1,1]}}}class InkDrawOutline extends Outline{#bbox;#currentRotation=0;#innerMargin;#lines;#parentWidth;#parentHeight;#parentScale;#rotation;#thickness;build(lines,parentWidth,parentHeight,parentScale,rotation,thickness,innerMargin){this.#parentWidth=parentWidth,this.#parentHeight=parentHeight,this.#parentScale=parentScale,this.#rotation=rotation,this.#thickness=thickness,this.#innerMargin=innerMargin??0,this.#lines=lines,this.#computeBbox()}get thickness(){
+return this.#thickness}setLastElement(element2){return this.#lines.push(element2),{path:{d:this.toSVGPath()}}}removeLastElement(){return this.#lines.pop(),{path:{d:this.toSVGPath()}}}toSVGPath(){const buffer=[];for(const{line}of this.#lines){if(buffer.push(`M${Outline.svgRound(line[4])} ${Outline.svgRound(line[5])}`),line.length===6){buffer.push("Z");continue}if(line.length===12&&isNaN(line[6])){buffer.push(`L${Outline.svgRound(line[10])} ${Outline.svgRound(line[11])}`);continue}for(let i=6,ii=line.
+length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=line.subarray(i,i+6).map(Outline.svgRound);buffer.push(`C${c1x} ${c1y} ${c2x} ${c2y} ${x} ${y}`)}}return buffer.join("")}serialize([pageX,pageY,pageWidth,pageHeight],isForCopying){const serializedLines=[],serializedPoints=[],[x,y,width,height]=this.#getBBoxWithNoMargin();let tx,ty,sx,sy,x1,y1,x2,y2,rescaleFn;switch(this.#rotation){case 0:rescaleFn=Outline._rescale,tx=pageX,ty=pageY+pageHeight,sx=pageWidth,sy=-pageHeight,x1=pageX+x*pageWidth,y1=pageY+(1-
+y-height)*pageHeight,x2=pageX+(x+width)*pageWidth,y2=pageY+(1-y)*pageHeight;break;case 90:rescaleFn=Outline._rescaleAndSwap,tx=pageX,ty=pageY,sx=pageWidth,sy=pageHeight,x1=pageX+y*pageWidth,y1=pageY+x*pageHeight,x2=pageX+(y+height)*pageWidth,y2=pageY+(x+width)*pageHeight;break;case 180:rescaleFn=Outline._rescale,tx=pageX+pageWidth,ty=pageY,sx=-pageWidth,sy=pageHeight,x1=pageX+(1-x-width)*pageWidth,y1=pageY+y*pageHeight,x2=pageX+(1-x)*pageWidth,y2=pageY+(y+height)*pageHeight;break;case 270:rescaleFn=
+Outline._rescaleAndSwap,tx=pageX+pageWidth,ty=pageY+pageHeight,sx=-pageWidth,sy=-pageHeight,x1=pageX+(1-y-height)*pageWidth,y1=pageY+(1-x-width)*pageHeight,x2=pageX+(1-y)*pageWidth,y2=pageY+(1-x)*pageHeight;break}for(const{line,points}of this.#lines)serializedLines.push(rescaleFn(line,tx,ty,sx,sy,isForCopying?new Array(line.length):null)),serializedPoints.push(rescaleFn(points,tx,ty,sx,sy,isForCopying?new Array(points.length):null));return{lines:serializedLines,points:serializedPoints,rect:[x1,y1,
+x2,y2]}}static deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,{paths:{lines,points},rotation,thickness}){const newLines=[];let tx,ty,sx,sy,rescaleFn;switch(rotation){case 0:rescaleFn=Outline._rescale,tx=-pageX/pageWidth,ty=pageY/pageHeight+1,sx=1/pageWidth,sy=-1/pageHeight;break;case 90:rescaleFn=Outline._rescaleAndSwap,tx=-pageY/pageHeight,ty=-pageX/pageWidth,sx=1/pageHeight,sy=1/pageWidth;break;case 180:rescaleFn=Outline._rescale,tx=pageX/pageWidth+1,ty=-pageY/pageHeight,sx=-1/pageWidth,
+sy=1/pageHeight;break;case 270:rescaleFn=Outline._rescaleAndSwap,tx=pageY/pageHeight+1,ty=pageX/pageWidth+1,sx=-1/pageHeight,sy=-1/pageWidth;break}if(!lines){lines=[];for(const point2 of points){const len=point2.length;if(len===2){lines.push(new Float32Array([NaN,NaN,NaN,NaN,point2[0],point2[1]]));continue}if(len===4){lines.push(new Float32Array([NaN,NaN,NaN,NaN,point2[0],point2[1],NaN,NaN,NaN,NaN,point2[2],point2[3]]));continue}const line=new Float32Array(3*(len-2));lines.push(line);let[x1,y1,x2,
+y2]=point2.subarray(0,4);line.set([NaN,NaN,NaN,NaN,x1,y1],0);for(let i=4;i<len;i+=2){const x=point2[i],y=point2[i+1];line.set(Outline.createBezierPoints(x1,y1,x2,y2,x,y),(i-2)*3),[x1,y1,x2,y2]=[x2,y2,x,y]}}}for(let i=0,ii=lines.length;i<ii;i++)newLines.push({line:rescaleFn(lines[i].map(x=>x??NaN),tx,ty,sx,sy),points:rescaleFn(points[i].map(x=>x??NaN),tx,ty,sx,sy)});const outlines=new this.prototype.constructor;return outlines.build(newLines,pageWidth,pageHeight,1,rotation,thickness,innerMargin),
+outlines}#getMarginComponents(thickness=this.#thickness){const margin=this.#innerMargin+thickness/2*this.#parentScale;return this.#rotation%180===0?[margin/this.#parentWidth,margin/this.#parentHeight]:[margin/this.#parentHeight,margin/this.#parentWidth]}#getBBoxWithNoMargin(){const[x,y,width,height]=this.#bbox,[marginX,marginY]=this.#getMarginComponents(0);return[x+marginX,y+marginY,width-2*marginX,height-2*marginY]}#computeBbox(){const bbox=this.#bbox=new Float32Array([1/0,1/0,-1/0,-1/0]);for(const{
+line}of this.#lines){if(line.length<=12){for(let i=4,ii=line.length;i<ii;i+=6)Util.pointBoundingBox(line[i],line[i+1],bbox);continue}let lastX=line[4],lastY=line[5];for(let i=6,ii=line.length;i<ii;i+=6){const[c1x,c1y,c2x,c2y,x,y]=line.subarray(i,i+6);Util.bezierBoundingBox(lastX,lastY,c1x,c1y,c2x,c2y,x,y,bbox),lastX=x,lastY=y}}const[marginX,marginY]=this.#getMarginComponents();bbox[0]=MathClamp(bbox[0]-marginX,0,1),bbox[1]=MathClamp(bbox[1]-marginY,0,1),bbox[2]=MathClamp(bbox[2]+marginX,0,1),bbox[3]=
+MathClamp(bbox[3]+marginY,0,1),bbox[2]-=bbox[0],bbox[3]-=bbox[1]}get box(){return this.#bbox}updateProperty(name,value){return name==="stroke-width"?this.#updateThickness(value):null}#updateThickness(thickness){const[oldMarginX,oldMarginY]=this.#getMarginComponents();this.#thickness=thickness;const[newMarginX,newMarginY]=this.#getMarginComponents(),[diffMarginX,diffMarginY]=[newMarginX-oldMarginX,newMarginY-oldMarginY],bbox=this.#bbox;return bbox[0]-=diffMarginX,bbox[1]-=diffMarginY,bbox[2]+=2*diffMarginX,
+bbox[3]+=2*diffMarginY,bbox}updateParentDimensions([width,height],scale2){const[oldMarginX,oldMarginY]=this.#getMarginComponents();this.#parentWidth=width,this.#parentHeight=height,this.#parentScale=scale2;const[newMarginX,newMarginY]=this.#getMarginComponents(),diffMarginX=newMarginX-oldMarginX,diffMarginY=newMarginY-oldMarginY,bbox=this.#bbox;return bbox[0]-=diffMarginX,bbox[1]-=diffMarginY,bbox[2]+=2*diffMarginX,bbox[3]+=2*diffMarginY,bbox}updateRotation(rotation){return this.#currentRotation=
+rotation,{path:{transform:this.rotationTransform}}}get viewBox(){return this.#bbox.map(Outline.svgRound).join(" ")}get defaultProperties(){const[x,y]=this.#bbox;return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(x)} ${Outline.svgRound(y)}`}}}get rotationTransform(){const[,,width,height]=this.#bbox;let a=0,b=0,c2=0,d2=0,e=0,f=0;switch(this.#currentRotation){case 90:b=height/width,c2=-width/height,e=width;break;case 180:a=-1,d2=-1,e=width,f=height;break;case 270:b=-height/
+width,c2=width/height,f=height;break;default:return""}return`matrix(${a} ${b} ${c2} ${d2} ${Outline.svgRound(e)} ${Outline.svgRound(f)})`}getPathResizingSVGProperties([newX,newY,newWidth,newHeight]){const[marginX,marginY]=this.#getMarginComponents(),[x,y,width,height]=this.#bbox;if(Math.abs(width-marginX)<=Outline.PRECISION||Math.abs(height-marginY)<=Outline.PRECISION){const tx=newX+newWidth/2-(x+width/2),ty=newY+newHeight/2-(y+height/2);return{path:{"transform-origin":`${Outline.svgRound(newX)}\
+ ${Outline.svgRound(newY)}`,transform:`${this.rotationTransform} translate(${tx} ${ty})`}}}const s1x=(newWidth-2*marginX)/(width-2*marginX),s1y=(newHeight-2*marginY)/(height-2*marginY),s2x=width/newWidth,s2y=height/newHeight;return{path:{"transform-origin":`${Outline.svgRound(x)} ${Outline.svgRound(y)}`,transform:`${this.rotationTransform} scale(${s2x} ${s2y}) translate(${Outline.svgRound(marginX)} ${Outline.svgRound(marginY)}) scale(${s1x} ${s1y}) translate(${Outline.svgRound(-marginX)} ${Outline.
+svgRound(-marginY)})`}}}getPathResizedSVGProperties([newX,newY,newWidth,newHeight]){const[marginX,marginY]=this.#getMarginComponents(),bbox=this.#bbox,[x,y,width,height]=bbox;if(bbox[0]=newX,bbox[1]=newY,bbox[2]=newWidth,bbox[3]=newHeight,Math.abs(width-marginX)<=Outline.PRECISION||Math.abs(height-marginY)<=Outline.PRECISION){const tx2=newX+newWidth/2-(x+width/2),ty2=newY+newHeight/2-(y+height/2);for(const{line,points}of this.#lines)Outline._translate(line,tx2,ty2,line),Outline._translate(points,
+tx2,ty2,points);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}const s1x=(newWidth-2*marginX)/(width-2*marginX),s1y=(newHeight-2*marginY)/(height-2*marginY),tx=-s1x*(x+marginX)+newX+marginX,ty=-s1y*(y+marginY)+newY+marginY;if(s1x!==1||s1y!==1||tx!==0||ty!==0)for(const{line,points}of this.#lines)Outline._rescale(line,tx,ty,s1x,s1y,line),Outline._rescale(points,tx,ty,s1x,s1y,
+points);return{root:{viewBox:this.viewBox},path:{"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`,transform:this.rotationTransform||null,d:this.toSVGPath()}}}getPathTranslatedSVGProperties([newX,newY],parentDimensions){const[newParentWidth,newParentHeight]=parentDimensions,bbox=this.#bbox,tx=newX-bbox[0],ty=newY-bbox[1];if(this.#parentWidth===newParentWidth&&this.#parentHeight===newParentHeight)for(const{line,points}of this.#lines)Outline._translate(line,tx,ty,line),Outline.
+_translate(points,tx,ty,points);else{const sx=this.#parentWidth/newParentWidth,sy=this.#parentHeight/newParentHeight;this.#parentWidth=newParentWidth,this.#parentHeight=newParentHeight;for(const{line,points}of this.#lines)Outline._rescale(line,tx,ty,sx,sy,line),Outline._rescale(points,tx,ty,sx,sy,points);bbox[2]*=sx,bbox[3]*=sy}return bbox[0]=newX,bbox[1]=newY,{root:{viewBox:this.viewBox},path:{d:this.toSVGPath(),"transform-origin":`${Outline.svgRound(newX)} ${Outline.svgRound(newY)}`}}}get defaultSVGProperties(){
+const bbox=this.#bbox;return{root:{viewBox:this.viewBox},rootClass:{draw:!0},path:{d:this.toSVGPath(),"transform-origin":`${Outline.svgRound(bbox[0])} ${Outline.svgRound(bbox[1])}`,transform:this.rotationTransform||null},bbox}}}class InkDrawingOptions extends DrawingOptions{constructor(viewerParameters){super(),this._viewParameters=viewerParameters,super.updateProperties({fill:"none",stroke:AnnotationEditor._defaultLineColor,"stroke-opacity":1,"stroke-width":1,"stroke-linecap":"round","stroke-li\
+nejoin":"round","stroke-miterlimit":10})}updateSVGProperty(name,value){name==="stroke-width"&&(value??=this["stroke-width"],value*=this._viewParameters.realScale),super.updateSVGProperty(name,value)}clone(){const clone2=new InkDrawingOptions(this._viewParameters);return clone2.updateAll(this),clone2}}class InkEditor extends DrawingEditor{static _type="ink";static _editorType=AnnotationEditorType.INK;static _defaultDrawingOptions=null;constructor(params){super({...params,name:"inkEditor"}),this._willKeepAspectRatio=
+!0,this.defaultL10nId="pdfjs-editor-ink-editor"}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager),this._defaultDrawingOptions=new InkDrawingOptions(uiManager.viewParameters)}static getDefaultDrawingOptions(options){const clone2=this._defaultDrawingOptions.clone();return clone2.updateProperties(options),clone2}static get supportMultipleDrawings(){return!0}static get typesMap(){return shadow(this,"typesMap",new Map([[AnnotationEditorParamsType.INK_THICKNESS,"stroke-widt\
+h"],[AnnotationEditorParamsType.INK_COLOR,"stroke"],[AnnotationEditorParamsType.INK_OPACITY,"stroke-opacity"]]))}static createDrawerInstance(x,y,parentWidth,parentHeight,rotation){return new InkDrawOutliner(x,y,parentWidth,parentHeight,rotation,this._defaultDrawingOptions["stroke-width"])}static deserializeDraw(pageX,pageY,pageWidth,pageHeight,innerMargin,data){return InkDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,data)}static async deserialize(data,parent,uiManager){let initialData=null;
+if(data instanceof InkAnnotationElement){const{data:{inkLists,rect,rotation,id:id2,color,opacity,borderStyle:{rawWidth:thickness},popupRef,contentsObj},parent:{page:{pageNumber}}}=data;initialData=data={annotationType:AnnotationEditorType.INK,color:Array.from(color),thickness,opacity,paths:{points:inkLists},boxes:null,pageIndex:pageNumber-1,rect:rect.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,
+uiManager);return editor._initialData=initialData,data.comment&&editor.setCommentData(data.comment),editor}get toolbarButtons(){return this._colorPicker||=new BasicColorPicker(this),[["colorPicker",this._colorPicker]]}get colorType(){return AnnotationEditorParamsType.INK_COLOR}get colorValue(){return this._drawingOptions.stroke}onScaleChanging(){if(!this.parent)return;super.onScaleChanging();const{_drawId,_drawingOptions,parent}=this;_drawingOptions.updateSVGProperty("stroke-width"),parent.drawLayer.
+updateProperties(_drawId,_drawingOptions.toSVGProperties())}static onScaleChangingWhenDrawing(){const parent=this._currentParent;parent&&(super.onScaleChangingWhenDrawing(),this._defaultDrawingOptions.updateSVGProperty("stroke-width"),parent.drawLayer.updateProperties(this._currentDrawId,this._defaultDrawingOptions.toSVGProperties()))}createDrawingOptions({color,thickness,opacity}){this._drawingOptions=InkEditor.getDefaultDrawingOptions({stroke:Util.makeHexColor(...color),"stroke-width":thickness,
+"stroke-opacity":opacity})}serialize(isForCopying=!1){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const{lines,points,rect}=this.serializeDraw(isForCopying),{_drawingOptions:{stroke,"stroke-opacity":opacity,"stroke-width":thickness}}=this,serialized={annotationType:AnnotationEditorType.INK,color:AnnotationEditor._colorManager.convert(stroke),opacity,thickness,paths:{lines,points},pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};
+return this.addComment(serialized),isForCopying?(serialized.isCopy=!0,serialized):this.annotationElementId&&!this.#hasElementChanged(serialized)?null:(serialized.id=this.annotationElementId,serialized)}#hasElementChanged(serialized){const{color,thickness,opacity,pageIndex}=this._initialData;return this.hasEditedComment||this._hasBeenMoved||this._hasBeenResized||serialized.color.some((c2,i)=>c2!==color[i])||serialized.thickness!==thickness||serialized.opacity!==opacity||serialized.pageIndex!==pageIndex}renderAnnotationElement(annotation){
+const{points,rect}=this.serializeDraw(!1),params={rect,thickness:this._drawingOptions["stroke-width"],points};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(params),null}}class ContourDrawOutline extends InkDrawOutline{toSVGPath(){let path2=super.toSVGPath();return path2.endsWith("Z")||(path2+="Z"),path2}}const BASE_HEADER_LENGTH=8,POINTS_PROPERTIES_NUMBER=3;class SignatureExtractor{static#PARAMETERS={maxDim:512,sigmaSFactor:.02,sigmaR:25,kernelSize:16};static#neighborIndexToId(i0,j0,i,j){
+return i-=i0,j-=j0,i===0?j>0?0:4:i===1?j+6:2-j}static#neighborIdToIndex=new Int32Array([0,1,-1,1,-1,0,-1,-1,0,-1,1,-1,1,0,1,1]);static#clockwiseNonZero(buf,width,i0,j0,i,j,offset2){const id2=this.#neighborIndexToId(i0,j0,i,j);for(let k=0;k<8;k++){const kk=(-k+id2-offset2+16)%8,shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*kk+1];if(buf[(i0+shiftI)*width+(j0+shiftJ)]!==0)return kk}return-1}static#counterClockwiseNonZero(buf,width,i0,j0,i,j,offset2){const id2=this.#neighborIndexToId(
+i0,j0,i,j);for(let k=0;k<8;k++){const kk=(k+id2+offset2+16)%8,shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*kk+1];if(buf[(i0+shiftI)*width+(j0+shiftJ)]!==0)return kk}return-1}static#findContours(buf,width,height,threshold){const N=buf.length,types2=new Int32Array(N);for(let i=0;i<N;i++)types2[i]=buf[i]<=threshold?1:0;for(let i=1;i<height-1;i++)types2[i*width]=types2[i*width+width-1]=0;for(let i=0;i<width;i++)types2[i]=types2[width*height-1-i]=0;let nbd=1,lnbd;const contours=[];
+for(let i=1;i<height-1;i++){lnbd=1;for(let j=1;j<width-1;j++){const ij=i*width+j,pix=types2[ij];if(pix===0)continue;let i2=i,j2=j;if(pix===1&&types2[ij-1]===0)nbd+=1,j2-=1;else if(pix>=1&&types2[ij+1]===0)nbd+=1,j2+=1,pix>1&&(lnbd=pix);else{pix!==1&&(lnbd=Math.abs(pix));continue}const points=[j,i],isHole=j2===j+1,contour={isHole,points,id:nbd,parent:0};contours.push(contour);let contour0;for(const c2 of contours)if(c2.id===lnbd){contour0=c2;break}contour0?contour0.isHole?contour.parent=isHole?contour0.
+parent:lnbd:contour.parent=isHole?lnbd:contour0.parent:contour.parent=isHole?lnbd:0;const k=this.#clockwiseNonZero(types2,width,i,j,i2,j2,0);if(k===-1){types2[ij]=-nbd,types2[ij]!==1&&(lnbd=Math.abs(types2[ij]));continue}let shiftI=this.#neighborIdToIndex[2*k],shiftJ=this.#neighborIdToIndex[2*k+1];const i1=i+shiftI,j1=j+shiftJ;i2=i1,j2=j1;let i3=i,j3=j;for(;;){const kk=this.#counterClockwiseNonZero(types2,width,i3,j3,i2,j2,1);shiftI=this.#neighborIdToIndex[2*kk],shiftJ=this.#neighborIdToIndex[2*
+kk+1];const i4=i3+shiftI,j4=j3+shiftJ;points.push(j4,i4);const ij3=i3*width+j3;if(types2[ij3+1]===0?types2[ij3]=-nbd:types2[ij3]===1&&(types2[ij3]=nbd),i4===i&&j4===j&&i3===i1&&j3===j1){types2[ij]!==1&&(lnbd=Math.abs(types2[ij]));break}else i2=i3,j2=j3,i3=i4,j3=j4}}}return contours}static#douglasPeuckerHelper(points,start2,end,output){if(end-start2<=4){for(let i=start2;i<end-2;i+=2)output.push(points[i],points[i+1]);return}const ax=points[start2],ay=points[start2+1],abx=points[end-4]-ax,aby=points[end-
+3]-ay,dist2=Math.hypot(abx,aby),nabx=abx/dist2,naby=aby/dist2,aa=nabx*ay-naby*ax,m=aby/abx,invS=1/dist2,phi=Math.atan(m),cosPhi=Math.cos(phi),sinPhi=Math.sin(phi),tmax=invS*(Math.abs(cosPhi)+Math.abs(sinPhi)),poly=invS*(1-tmax+tmax**2),partialPhi=Math.max(Math.atan(Math.abs(sinPhi+cosPhi)*poly),Math.atan(Math.abs(sinPhi-cosPhi)*poly));let dmax=0,index2=start2;for(let i=start2+2;i<end-2;i+=2){const d2=Math.abs(aa-nabx*points[i+1]+naby*points[i]);d2>dmax&&(index2=i,dmax=d2)}dmax>(dist2*partialPhi)**
+2?(this.#douglasPeuckerHelper(points,start2,index2+2,output),this.#douglasPeuckerHelper(points,index2,end,output)):output.push(ax,ay)}static#douglasPeucker(points){const output=[],len=points.length;return this.#douglasPeuckerHelper(points,0,len,output),output.push(points[len-2],points[len-1]),output.length<=4?null:output}static#bilateralFilter(buf,width,height,sigmaS,sigmaR,kernelSize){const kernel=new Float32Array(kernelSize**2),sigmaS2=-2*sigmaS**2,halfSize=kernelSize>>1;for(let i=0;i<kernelSize;i++){
+const x=(i-halfSize)**2;for(let j=0;j<kernelSize;j++)kernel[i*kernelSize+j]=Math.exp((x+(j-halfSize)**2)/sigmaS2)}const rangeValues=new Float32Array(256),sigmaR2=-2*sigmaR**2;for(let i=0;i<256;i++)rangeValues[i]=Math.exp(i**2/sigmaR2);const N=buf.length,out=new Uint8Array(N),histogram=new Uint32Array(256);for(let i=0;i<height;i++)for(let j=0;j<width;j++){const ij=i*width+j,center=buf[ij];let sum=0,norm=0;for(let k=0;k<kernelSize;k++){const y=i+k-halfSize;if(!(y<0||y>=height))for(let l=0;l<kernelSize;l++){
+const x=j+l-halfSize;if(x<0||x>=width)continue;const neighbour=buf[y*width+x],w=kernel[k*kernelSize+l]*rangeValues[Math.abs(neighbour-center)];sum+=neighbour*w,norm+=w}}const pix=out[ij]=Math.round(sum/norm);histogram[pix]++}return[out,histogram]}static#getHistogram(buf){const histogram=new Uint32Array(256);for(const g of buf)histogram[g]++;return histogram}static#toUint8(buf){const N=buf.length,out=new Uint8ClampedArray(N>>2);let max2=-1/0,min2=1/0;for(let i=0,ii=out.length;i<ii;i++){const pix=out[i]=
+buf[i<<2];max2=Math.max(max2,pix),min2=Math.min(min2,pix)}const ratio=255/(max2-min2);for(let i=0,ii=out.length;i<ii;i++)out[i]=(out[i]-min2)*ratio;return out}static#guessThreshold(histogram){let i,M=-1/0,L=-1/0;const min2=histogram.findIndex(v=>v!==0);let pos=min2,spos=min2;for(i=min2;i<256;i++){const v=histogram[i];v>M&&(i-pos>L&&(L=i-pos,spos=i-1),M=v,pos=i)}for(i=spos-1;i>=0&&!(histogram[i]>histogram[i+1]);i--);return i}static#getGrayPixels(bitmap){const originalBitmap=bitmap,{width,height}=bitmap,
+{maxDim}=this.#PARAMETERS;let newWidth=width,newHeight=height;if(width>maxDim||height>maxDim){let prevWidth=width,prevHeight=height,steps=Math.log2(Math.max(width,height)/maxDim);const isteps=Math.floor(steps);steps=steps===isteps?isteps-1:isteps;for(let i=0;i<steps;i++){newWidth=Math.ceil(prevWidth/2),newHeight=Math.ceil(prevHeight/2);const offscreen2=new OffscreenCanvas(newWidth,newHeight);offscreen2.getContext("2d").drawImage(bitmap,0,0,prevWidth,prevHeight,0,0,newWidth,newHeight),prevWidth=newWidth,
+prevHeight=newHeight,bitmap!==originalBitmap&&bitmap.close(),bitmap=offscreen2.transferToImageBitmap()}const ratio=Math.min(maxDim/newWidth,maxDim/newHeight);newWidth=Math.round(newWidth*ratio),newHeight=Math.round(newHeight*ratio)}const ctx=new OffscreenCanvas(newWidth,newHeight).getContext("2d",{willReadFrequently:!0});ctx.fillStyle="white",ctx.fillRect(0,0,newWidth,newHeight),ctx.filter="grayscale(1)",ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,newWidth,newHeight);const grayImage=ctx.
+getImageData(0,0,newWidth,newHeight).data;return[this.#toUint8(grayImage),newWidth,newHeight]}static extractContoursFromText(text2,{fontFamily,fontStyle,fontWeight},pageWidth,pageHeight,rotation,innerMargin){let canvas=new OffscreenCanvas(1,1),ctx=canvas.getContext("2d",{alpha:!1});const fontSize=200,font=ctx.font=`${fontStyle} ${fontWeight} ${fontSize}px ${fontFamily}`,{actualBoundingBoxLeft,actualBoundingBoxRight,actualBoundingBoxAscent,actualBoundingBoxDescent,fontBoundingBoxAscent,fontBoundingBoxDescent,
+width}=ctx.measureText(text2),SCALE=1.5,canvasWidth=Math.ceil(Math.max(Math.abs(actualBoundingBoxLeft)+Math.abs(actualBoundingBoxRight)||0,width)*SCALE),canvasHeight=Math.ceil(Math.max(Math.abs(actualBoundingBoxAscent)+Math.abs(actualBoundingBoxDescent)||fontSize,Math.abs(fontBoundingBoxAscent)+Math.abs(fontBoundingBoxDescent)||fontSize)*SCALE);canvas=new OffscreenCanvas(canvasWidth,canvasHeight),ctx=canvas.getContext("2d",{alpha:!0,willReadFrequently:!0}),ctx.font=font,ctx.filter="grayscale(1)",
+ctx.fillStyle="white",ctx.fillRect(0,0,canvasWidth,canvasHeight),ctx.fillStyle="black",ctx.fillText(text2,canvasWidth*(SCALE-1)/2,canvasHeight*(3-SCALE)/2);const uint8Buf=this.#toUint8(ctx.getImageData(0,0,canvasWidth,canvasHeight).data),histogram=this.#getHistogram(uint8Buf),threshold=this.#guessThreshold(histogram),contourList=this.#findContours(uint8Buf,canvasWidth,canvasHeight,threshold);return this.processDrawnLines({lines:{curves:contourList,width:canvasWidth,height:canvasHeight},pageWidth,
+pageHeight,rotation,innerMargin,mustSmooth:!0,areContours:!0})}static process(bitmap,pageWidth,pageHeight,rotation,innerMargin){const[uint8Buf,width,height]=this.#getGrayPixels(bitmap),[buffer,histogram]=this.#bilateralFilter(uint8Buf,width,height,Math.hypot(width,height)*this.#PARAMETERS.sigmaSFactor,this.#PARAMETERS.sigmaR,this.#PARAMETERS.kernelSize),threshold=this.#guessThreshold(histogram),contourList=this.#findContours(buffer,width,height,threshold);return this.processDrawnLines({lines:{curves:contourList,
+width,height},pageWidth,pageHeight,rotation,innerMargin,mustSmooth:!0,areContours:!0})}static processDrawnLines({lines,pageWidth,pageHeight,rotation,innerMargin,mustSmooth,areContours}){rotation%180!==0&&([pageWidth,pageHeight]=[pageHeight,pageWidth]);const{curves,width,height}=lines,thickness=lines.thickness??0,linesAndPoints=[],ratio=Math.min(pageWidth/width,pageHeight/height),xScale=ratio/pageWidth,yScale=ratio/pageHeight,newCurves=[];for(const{points}of curves){const reducedPoints=mustSmooth?
+this.#douglasPeucker(points):points;if(!reducedPoints)continue;newCurves.push(reducedPoints);const len=reducedPoints.length,newPoints=new Float32Array(len),line=new Float32Array(3*(len===2?2:len-2));if(linesAndPoints.push({line,points:newPoints}),len===2){newPoints[0]=reducedPoints[0]*xScale,newPoints[1]=reducedPoints[1]*yScale,line.set([NaN,NaN,NaN,NaN,newPoints[0],newPoints[1]],0);continue}let[x1,y1,x2,y2]=reducedPoints;x1*=xScale,y1*=yScale,x2*=xScale,y2*=yScale,newPoints.set([x1,y1,x2,y2],0),
+line.set([NaN,NaN,NaN,NaN,x1,y1],0);for(let i=4;i<len;i+=2){const x=newPoints[i]=reducedPoints[i]*xScale,y=newPoints[i+1]=reducedPoints[i+1]*yScale;line.set(Outline.createBezierPoints(x1,y1,x2,y2,x,y),(i-2)*3),[x1,y1,x2,y2]=[x2,y2,x,y]}}if(linesAndPoints.length===0)return null;const outline=areContours?new ContourDrawOutline:new InkDrawOutline;return outline.build(linesAndPoints,pageWidth,pageHeight,1,rotation,areContours?0:thickness,innerMargin),{outline,newCurves,areContours,thickness,width,height}}static async compressSignature({
+outlines,areContours,thickness,width,height}){let minDiff=1/0,maxDiff=-1/0,outlinesLength=0;for(const points of outlines){outlinesLength+=points.length;for(let i=2,ii=points.length;i<ii;i++){const dx=points[i]-points[i-2];minDiff=Math.min(minDiff,dx),maxDiff=Math.max(maxDiff,dx)}}let bufferType;minDiff>=-128&&maxDiff<=127?bufferType=Int8Array:minDiff>=-32768&&maxDiff<=32767?bufferType=Int16Array:bufferType=Int32Array;const len=outlines.length,headerLength=BASE_HEADER_LENGTH+POINTS_PROPERTIES_NUMBER*
+len,header=new Uint32Array(headerLength);let offset2=0;header[offset2++]=headerLength*Uint32Array.BYTES_PER_ELEMENT+(outlinesLength-2*len)*bufferType.BYTES_PER_ELEMENT,header[offset2++]=0,header[offset2++]=width,header[offset2++]=height,header[offset2++]=areContours?0:1,header[offset2++]=Math.max(0,Math.floor(thickness??0)),header[offset2++]=len,header[offset2++]=bufferType.BYTES_PER_ELEMENT;for(const points of outlines)header[offset2++]=points.length-2,header[offset2++]=points[0],header[offset2++]=
+points[1];const cs=new CompressionStream("deflate-raw"),writer=cs.writable.getWriter();await writer.ready,writer.write(header);const BufferCtor=bufferType.prototype.constructor;for(const points of outlines){const diffs=new BufferCtor(points.length-2);for(let i=2,ii=points.length;i<ii;i++)diffs[i-2]=points[i]-points[i-2];writer.write(diffs)}writer.close();const buf=await new Response(cs.readable).arrayBuffer(),bytes=new Uint8Array(buf);return toBase64Util(bytes)}static async decompressSignature(signatureData){
+try{const bytes=fromBase64Util(signatureData),{readable,writable:writable2}=new DecompressionStream("deflate-raw"),writer=writable2.getWriter();await writer.ready,writer.write(bytes).then(async()=>{await writer.ready,await writer.close()}).catch(()=>{});let data=null,offset2=0;for await(const chunk of readable)data||=new Uint8Array(new Uint32Array(chunk.buffer,0,4)[0]),data.set(chunk,offset2),offset2+=chunk.length;const header=new Uint32Array(data.buffer,0,data.length>>2),version2=header[1];if(version2!==
+0)throw new Error(`Invalid version: ${version2}`);const width=header[2],height=header[3],areContours=header[4]===0,thickness=header[5],numberOfDrawings=header[6],bufferType=header[7],outlines=[],diffsOffset=(BASE_HEADER_LENGTH+POINTS_PROPERTIES_NUMBER*numberOfDrawings)*Uint32Array.BYTES_PER_ELEMENT;let diffs;switch(bufferType){case Int8Array.BYTES_PER_ELEMENT:diffs=new Int8Array(data.buffer,diffsOffset);break;case Int16Array.BYTES_PER_ELEMENT:diffs=new Int16Array(data.buffer,diffsOffset);break;case Int32Array.
+BYTES_PER_ELEMENT:diffs=new Int32Array(data.buffer,diffsOffset);break}offset2=0;for(let i=0;i<numberOfDrawings;i++){const len=header[POINTS_PROPERTIES_NUMBER*i+BASE_HEADER_LENGTH],points=new Float32Array(len+2);outlines.push(points);for(let j=0;j<POINTS_PROPERTIES_NUMBER-1;j++)points[j]=header[POINTS_PROPERTIES_NUMBER*i+BASE_HEADER_LENGTH+j+1];for(let j=0;j<len;j++)points[j+2]=points[j]+diffs[offset2++]}return{areContours,thickness,outlines,width,height}}catch(e){return warn(`decompressSignature\
+: ${e}`),null}}}class SignatureOptions extends DrawingOptions{constructor(){super(),super.updateProperties({fill:AnnotationEditor._defaultLineColor,"stroke-width":0})}clone(){const clone2=new SignatureOptions;return clone2.updateAll(this),clone2}}class DrawnSignatureOptions extends InkDrawingOptions{constructor(viewerParameters){super(viewerParameters),super.updateProperties({stroke:AnnotationEditor._defaultLineColor,"stroke-width":1})}clone(){const clone2=new DrawnSignatureOptions(this._viewParameters);
+return clone2.updateAll(this),clone2}}class SignatureEditor extends DrawingEditor{#isExtracted=!1;#description=null;#signatureData=null;#signatureUUID=null;static _type="signature";static _editorType=AnnotationEditorType.SIGNATURE;static _defaultDrawingOptions=null;constructor(params){super({...params,mustBeCommitted:!0,name:"signatureEditor"}),this._willKeepAspectRatio=!0,this.#signatureData=params.signatureData||null,this.#description=null,this.defaultL10nId="pdfjs-editor-signature-editor1"}static initialize(l10n,uiManager){
+AnnotationEditor.initialize(l10n,uiManager),this._defaultDrawingOptions=new SignatureOptions,this._defaultDrawnSignatureOptions=new DrawnSignatureOptions(uiManager.viewParameters)}static getDefaultDrawingOptions(options){const clone2=this._defaultDrawingOptions.clone();return clone2.updateProperties(options),clone2}static get supportMultipleDrawings(){return!1}static get typesMap(){return shadow(this,"typesMap",new Map)}static get isDrawer(){return!1}get telemetryFinalData(){return{type:"signatu\
+re",hasDescription:!!this.#description}}static computeTelemetryFinalData(data){const hasDescriptionStats=data.get("hasDescription");return{hasAltText:hasDescriptionStats.get(!0)??0,hasNoAltText:hasDescriptionStats.get(!1)??0}}get isResizable(){return!0}onScaleChanging(){this._drawId!==null&&super.onScaleChanging()}render(){if(this.div)return this.div;let baseX,baseY;const{_isCopy}=this;if(_isCopy&&(this._isCopy=!1,baseX=this.x,baseY=this.y),super.render(),this._drawId===null)if(this.#signatureData){
+const{lines,mustSmooth,areContours,description:description2,uuid:uuid2,heightInPage}=this.#signatureData,{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport,outline=SignatureExtractor.processDrawnLines({lines,pageWidth,pageHeight,rotation,innerMargin:SignatureEditor._INNER_MARGIN,mustSmooth,areContours});this.addSignature(outline,heightInPage,description2,uuid2)}else this.div.setAttribute("data-l10n-args",JSON.stringify({description:""})),this.div.hidden=!0,this._uiManager.getSignature(
+this);else this.div.setAttribute("data-l10n-args",JSON.stringify({description:this.#description||""}));return _isCopy&&(this._isCopy=!0,this._moveAfterPaste(baseX,baseY)),this.div}setUuid(uuid2){this.#signatureUUID=uuid2,this.addEditToolbar()}getUuid(){return this.#signatureUUID}get description(){return this.#description}set description(description2){this.#description=description2,this.div&&(this.div.setAttribute("data-l10n-args",JSON.stringify({description:description2})),super.addEditToolbar().
+then(toolbar=>{toolbar?.updateEditSignatureButton(description2)}))}getSignaturePreview(){const{newCurves,areContours,thickness,width,height}=this.#signatureData,maxDim=Math.max(width,height),outlineData=SignatureExtractor.processDrawnLines({lines:{curves:newCurves.map(points=>({points})),thickness,width,height},pageWidth:maxDim,pageHeight:maxDim,rotation:0,innerMargin:0,mustSmooth:!1,areContours});return{areContours,outline:outlineData.outline}}get toolbarButtons(){return this._uiManager.signatureManager?
+[["editSignature",this._uiManager.signatureManager]]:super.toolbarButtons}addSignature(data,heightInPage,description2,uuid2){const{x:savedX,y:savedY}=this,{outline}=this.#signatureData=data;this.#isExtracted=outline instanceof ContourDrawOutline,this.description=description2;let drawingOptions;this.#isExtracted?drawingOptions=SignatureEditor.getDefaultDrawingOptions():(drawingOptions=SignatureEditor._defaultDrawnSignatureOptions.clone(),drawingOptions.updateProperties({"stroke-width":outline.thickness})),
+this._addOutlines({drawOutlines:outline,drawingOptions});const[parentWidth,parentHeight]=this.parentDimensions,[,pageHeight]=this.pageDimensions;let newHeight=heightInPage/pageHeight;newHeight=newHeight>=1?.5:newHeight,this.width*=newHeight/this.height,this.width>=1&&(newHeight*=.9/this.width,this.width=.9),this.height=newHeight,this.setDims(parentWidth*this.width,parentHeight*this.height),this.x=savedX,this.y=savedY,this.center(),this._onResized(),this.onScaleChanging(),this.rotate(),this._uiManager.
+addToAnnotationStorage(this),this.setUuid(uuid2),this._reportTelemetry({action:"pdfjs.signature.inserted",data:{hasBeenSaved:!!uuid2,hasDescription:!!description2}}),this.div.hidden=!1}getFromImage(bitmap){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.process(bitmap,pageWidth,pageHeight,rotation,SignatureEditor._INNER_MARGIN)}getFromText(text2,fontInfo){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.extractContoursFromText(
+text2,fontInfo,pageWidth,pageHeight,rotation,SignatureEditor._INNER_MARGIN)}getDrawnSignature(curves){const{rawDims:{pageWidth,pageHeight},rotation}=this.parent.viewport;return SignatureExtractor.processDrawnLines({lines:curves,pageWidth,pageHeight,rotation,innerMargin:SignatureEditor._INNER_MARGIN,mustSmooth:!1,areContours:!1})}createDrawingOptions({areContours,thickness}){areContours?this._drawingOptions=SignatureEditor.getDefaultDrawingOptions():(this._drawingOptions=SignatureEditor._defaultDrawnSignatureOptions.
+clone(),this._drawingOptions.updateProperties({"stroke-width":thickness}))}serialize(isForCopying=!1){if(this.isEmpty())return null;const{lines,points,rect}=this.serializeDraw(isForCopying),{_drawingOptions:{"stroke-width":thickness}}=this,serialized={annotationType:AnnotationEditorType.SIGNATURE,isSignature:!0,areContours:this.#isExtracted,color:[0,0,0],thickness:this.#isExtracted?0:thickness,pageIndex:this.pageIndex,rect,rotation:this.rotation,structTreeParentId:this._structTreeParentId};return this.
+addComment(serialized),isForCopying?(serialized.paths={lines,points},serialized.uuid=this.#signatureUUID,serialized.isCopy=!0):serialized.lines=lines,this.#description&&(serialized.accessibilityData={type:"Figure",alt:this.#description}),serialized}static deserializeDraw(pageX,pageY,pageWidth,pageHeight,innerMargin,data){return data.areContours?ContourDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,data):InkDrawOutline.deserialize(pageX,pageY,pageWidth,pageHeight,innerMargin,
+data)}static async deserialize(data,parent,uiManager){const editor=await super.deserialize(data,parent,uiManager);return editor.#isExtracted=data.areContours,editor.description=data.accessibilityData?.alt||"",editor.#signatureUUID=data.uuid,editor}}class StampEditor extends AnnotationEditor{#bitmap=null;#bitmapId=null;#bitmapPromise=null;#bitmapUrl=null;#bitmapFile=null;#bitmapFileName="";#canvas=null;#missingCanvas=!1;#resizeTimeoutId=null;#isSvg=!1;#hasBeenAddedInUndoStack=!1;static _type="sta\
+mp";static _editorType=AnnotationEditorType.STAMP;constructor(params){super({...params,name:"stampEditor"}),this.#bitmapUrl=params.bitmapUrl,this.#bitmapFile=params.bitmapFile,this.defaultL10nId="pdfjs-editor-stamp-editor"}static initialize(l10n,uiManager){AnnotationEditor.initialize(l10n,uiManager)}static isHandlingMimeForPasting(mime){return SupportedImageMimeTypes.includes(mime)}static paste(item,parent){parent.pasteEditor({mode:AnnotationEditorType.STAMP},{bitmapFile:item.getAsFile()})}altTextFinish(){
+this._uiManager.useNewAltTextFlow&&(this.div.hidden=!1),super.altTextFinish()}get telemetryFinalData(){return{type:"stamp",hasAltText:!!this.altTextData?.altText}}static computeTelemetryFinalData(data){const hasAltTextStats=data.get("hasAltText");return{hasAltText:hasAltTextStats.get(!0)??0,hasNoAltText:hasAltTextStats.get(!1)??0}}#getBitmapFetched(data,fromId=!1){if(!data){this.remove();return}this.#bitmap=data.bitmap,fromId||(this.#bitmapId=data.id,this.#isSvg=data.isSvg),data.file&&(this.#bitmapFileName=
+data.file.name),this.#createCanvas()}#getBitmapDone(){if(this.#bitmapPromise=null,this._uiManager.enableWaiting(!1),!!this.#canvas){if(this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#bitmap){this.addEditToolbar().then(()=>{this._editToolbar.hide(),this._uiManager.editAltText(this,!0)});return}if(!this._uiManager.useNewAltTextWhenAddingImage&&this._uiManager.useNewAltTextFlow&&this.#bitmap){this._reportTelemetry({action:"pdfjs.image.image_added",data:{alt_text_modal:!1,
+alt_text_type:"empty"}});try{this.mlGuessAltText()}catch{}}this.div.focus()}}async mlGuessAltText(imageData=null,updateAltTextData=!0){if(this.hasAltTextData())return null;const{mlManager}=this._uiManager;if(!mlManager)throw new Error("No ML.");if(!await mlManager.isEnabledFor("altText"))throw new Error("ML isn't enabled for alt text.");const{data,width,height}=imageData||this.copyCanvas(null,null,!0).imageData,response=await mlManager.guess({name:"altText",request:{data,width,height,channels:data.
+length/(width*height)}});if(!response)throw new Error("No response from the AI service.");if(response.error)throw new Error("Error from the AI service.");if(response.cancel)return null;if(!response.output)throw new Error("No valid response from the AI service.");const altText=response.output;return await this.setGuessedAltText(altText),updateAltTextData&&!this.hasAltTextData()&&(this.altTextData={alt:altText,decorative:!1}),altText}#getBitmap(){if(this.#bitmapId){this._uiManager.enableWaiting(!0),
+this._uiManager.imageManager.getFromId(this.#bitmapId).then(data=>this.#getBitmapFetched(data,!0)).finally(()=>this.#getBitmapDone());return}if(this.#bitmapUrl){const url2=this.#bitmapUrl;this.#bitmapUrl=null,this._uiManager.enableWaiting(!0),this.#bitmapPromise=this._uiManager.imageManager.getFromUrl(url2).then(data=>this.#getBitmapFetched(data)).finally(()=>this.#getBitmapDone());return}if(this.#bitmapFile){const file=this.#bitmapFile;this.#bitmapFile=null,this._uiManager.enableWaiting(!0),this.#bitmapPromise=
+this._uiManager.imageManager.getFromFile(file).then(data=>this.#getBitmapFetched(data)).finally(()=>this.#getBitmapDone());return}const input=document.createElement("input");input.type="file",input.accept=SupportedImageMimeTypes.join(",");const signal=this._uiManager._signal;this.#bitmapPromise=new Promise(resolve2=>{input.addEventListener("change",async()=>{if(!input.files||input.files.length===0)this.remove();else{this._uiManager.enableWaiting(!0);const data=await this._uiManager.imageManager.
+getFromFile(input.files[0]);this._reportTelemetry({action:"pdfjs.image.image_selected",data:{alt_text_modal:this._uiManager.useNewAltTextFlow}}),this.#getBitmapFetched(data)}resolve2()},{signal}),input.addEventListener("cancel",()=>{this.remove(),resolve2()},{signal})}).finally(()=>this.#getBitmapDone()),input.click()}remove(){this.#bitmapId&&(this.#bitmap=null,this._uiManager.imageManager.deleteId(this.#bitmapId),this.#canvas?.remove(),this.#canvas=null,this.#resizeTimeoutId&&(clearTimeout(this.#resizeTimeoutId),
+this.#resizeTimeoutId=null)),super.remove()}rebuild(){if(!this.parent){this.#bitmapId&&this.#getBitmap();return}super.rebuild(),this.div!==null&&(this.#bitmapId&&this.#canvas===null&&this.#getBitmap(),this.isAttachedToDOM||this.parent.add(this))}onceAdded(focus2){this._isDraggable=!0,focus2&&this.div.focus()}isEmpty(){return!(this.#bitmapPromise||this.#bitmap||this.#bitmapUrl||this.#bitmapFile||this.#bitmapId||this.#missingCanvas)}get toolbarButtons(){return[["altText",this.createAltText()]]}get isResizable(){
+return!0}render(){if(this.div)return this.div;let baseX,baseY;return this._isCopy&&(baseX=this.x,baseY=this.y),super.render(),this.div.hidden=!0,this.createAltText(),this.#missingCanvas||(this.#bitmap?this.#createCanvas():this.#getBitmap()),this._isCopy&&this._moveAfterPaste(baseX,baseY),this._uiManager.addShouldRescale(this),this.div}setCanvas(annotationElementId,canvas){const{id:bitmapId,bitmap}=this._uiManager.imageManager.getFromCanvas(annotationElementId,canvas);canvas.remove(),bitmapId&&this.
+_uiManager.imageManager.isValidId(bitmapId)&&(this.#bitmapId=bitmapId,bitmap&&(this.#bitmap=bitmap),this.#missingCanvas=!1,this.#createCanvas())}_onResized(){this.onScaleChanging()}onScaleChanging(){if(!this.parent)return;this.#resizeTimeoutId!==null&&clearTimeout(this.#resizeTimeoutId);const TIME_TO_WAIT=200;this.#resizeTimeoutId=setTimeout(()=>{this.#resizeTimeoutId=null,this.#drawBitmap()},TIME_TO_WAIT)}#createCanvas(){const{div}=this;let{width,height}=this.#bitmap;const[pageWidth,pageHeight]=this.
+pageDimensions,MAX_RATIO=.75;if(this.width)width=this.width*pageWidth,height=this.height*pageHeight;else if(width>MAX_RATIO*pageWidth||height>MAX_RATIO*pageHeight){const factor=Math.min(MAX_RATIO*pageWidth/width,MAX_RATIO*pageHeight/height);width*=factor,height*=factor}const[parentWidth,parentHeight]=this.parentDimensions;this.setDims(width*parentWidth/pageWidth,height*parentHeight/pageHeight),this._uiManager.enableWaiting(!1);const canvas=this.#canvas=document.createElement("canvas");canvas.setAttribute(
+"role","img"),this.addContainer(canvas),this.width=width/pageWidth,this.height=height/pageHeight,this._initialOptions?.isCentered?this.center():this.fixAndSetPosition(),this._initialOptions=null,(!this._uiManager.useNewAltTextWhenAddingImage||!this._uiManager.useNewAltTextFlow||this.annotationElementId)&&(div.hidden=!1),this.#drawBitmap(),this.#hasBeenAddedInUndoStack||(this.parent.addUndoableEditor(this),this.#hasBeenAddedInUndoStack=!0),this._reportTelemetry({action:"inserted_image"}),this.#bitmapFileName&&
+this.div.setAttribute("aria-description",this.#bitmapFileName),this.annotationElementId||this._uiManager.a11yAlert("pdfjs-editor-stamp-added-alert")}copyCanvas(maxDataDimension,maxPreviewDimension,createImageData=!1){maxDataDimension||(maxDataDimension=224);const{width:bitmapWidth,height:bitmapHeight}=this.#bitmap,outputScale=new OutputScale;let bitmap=this.#bitmap,width=bitmapWidth,height=bitmapHeight,canvas=null;if(maxPreviewDimension){if(bitmapWidth>maxPreviewDimension||bitmapHeight>maxPreviewDimension){
+const ratio=Math.min(maxPreviewDimension/bitmapWidth,maxPreviewDimension/bitmapHeight);width=Math.floor(bitmapWidth*ratio),height=Math.floor(bitmapHeight*ratio)}canvas=document.createElement("canvas");const scaledWidth=canvas.width=Math.ceil(width*outputScale.sx),scaledHeight=canvas.height=Math.ceil(height*outputScale.sy);this.#isSvg||(bitmap=this.#scaleBitmap(scaledWidth,scaledHeight));const ctx=canvas.getContext("2d");ctx.filter=this._uiManager.hcmFilter;let white="white",black="#cfcfd8";this.
+_uiManager.hcmFilter!=="none"?black="black":window.matchMedia?.("(prefers-color-scheme: dark)").matches&&(white="#8f8f9d",black="#42414d");const boxDim=15,boxDimWidth=boxDim*outputScale.sx,boxDimHeight=boxDim*outputScale.sy,pattern2=new OffscreenCanvas(boxDimWidth*2,boxDimHeight*2),patternCtx=pattern2.getContext("2d");patternCtx.fillStyle=white,patternCtx.fillRect(0,0,boxDimWidth*2,boxDimHeight*2),patternCtx.fillStyle=black,patternCtx.fillRect(0,0,boxDimWidth,boxDimHeight),patternCtx.fillRect(boxDimWidth,
+boxDimHeight,boxDimWidth,boxDimHeight),ctx.fillStyle=ctx.createPattern(pattern2,"repeat"),ctx.fillRect(0,0,scaledWidth,scaledHeight),ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,scaledWidth,scaledHeight)}let imageData=null;if(createImageData){let dataWidth,dataHeight;if(outputScale.symmetric&&bitmap.width<maxDataDimension&&bitmap.height<maxDataDimension)dataWidth=bitmap.width,dataHeight=bitmap.height;else if(bitmap=this.#bitmap,bitmapWidth>maxDataDimension||bitmapHeight>maxDataDimension){
+const ratio=Math.min(maxDataDimension/bitmapWidth,maxDataDimension/bitmapHeight);dataWidth=Math.floor(bitmapWidth*ratio),dataHeight=Math.floor(bitmapHeight*ratio),this.#isSvg||(bitmap=this.#scaleBitmap(dataWidth,dataHeight))}const offscreenCtx=new OffscreenCanvas(dataWidth,dataHeight).getContext("2d",{willReadFrequently:!0});offscreenCtx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,dataWidth,dataHeight),imageData={width:dataWidth,height:dataHeight,data:offscreenCtx.getImageData(0,0,dataWidth,
+dataHeight).data}}return{canvas,width,height,imageData}}#scaleBitmap(width,height){const{width:bitmapWidth,height:bitmapHeight}=this.#bitmap;let newWidth=bitmapWidth,newHeight=bitmapHeight,bitmap=this.#bitmap;for(;newWidth>2*width||newHeight>2*height;){const prevWidth=newWidth,prevHeight=newHeight;newWidth>2*width&&(newWidth=newWidth>=16384?Math.floor(newWidth/2)-1:Math.ceil(newWidth/2)),newHeight>2*height&&(newHeight=newHeight>=16384?Math.floor(newHeight/2)-1:Math.ceil(newHeight/2));const offscreen=new OffscreenCanvas(
+newWidth,newHeight);offscreen.getContext("2d").drawImage(bitmap,0,0,prevWidth,prevHeight,0,0,newWidth,newHeight),bitmap=offscreen.transferToImageBitmap()}return bitmap}#drawBitmap(){const[parentWidth,parentHeight]=this.parentDimensions,{width,height}=this,outputScale=new OutputScale,scaledWidth=Math.ceil(width*parentWidth*outputScale.sx),scaledHeight=Math.ceil(height*parentHeight*outputScale.sy),canvas=this.#canvas;if(!canvas||canvas.width===scaledWidth&&canvas.height===scaledHeight)return;canvas.
+width=scaledWidth,canvas.height=scaledHeight;const bitmap=this.#isSvg?this.#bitmap:this.#scaleBitmap(scaledWidth,scaledHeight),ctx=canvas.getContext("2d");ctx.filter=this._uiManager.hcmFilter,ctx.drawImage(bitmap,0,0,bitmap.width,bitmap.height,0,0,scaledWidth,scaledHeight)}#serializeBitmap(toUrl){if(toUrl){if(this.#isSvg){const url2=this._uiManager.imageManager.getSvgUrl(this.#bitmapId);if(url2)return url2}const canvas=document.createElement("canvas");return{width:canvas.width,height:canvas.height}=
+this.#bitmap,canvas.getContext("2d").drawImage(this.#bitmap,0,0),canvas.toDataURL()}if(this.#isSvg){const[pageWidth,pageHeight]=this.pageDimensions,width=Math.round(this.width*pageWidth*PixelsPerInch.PDF_TO_CSS_UNITS),height=Math.round(this.height*pageHeight*PixelsPerInch.PDF_TO_CSS_UNITS),offscreen=new OffscreenCanvas(width,height);return offscreen.getContext("2d").drawImage(this.#bitmap,0,0,this.#bitmap.width,this.#bitmap.height,0,0,width,height),offscreen.transferToImageBitmap()}return structuredClone(
+this.#bitmap)}static async deserialize(data,parent,uiManager){let initialData=null,missingCanvas=!1;if(data instanceof StampAnnotationElement){const{data:{rect:rect2,rotation,id:id2,structParent,popupRef,contentsObj},container:container2,parent:{page:{pageNumber}},canvas}=data;let bitmapId2,bitmap2;canvas?(delete data.canvas,{id:bitmapId2,bitmap:bitmap2}=uiManager.imageManager.getFromCanvas(container2.id,canvas),canvas.remove()):(missingCanvas=!0,data._hasNoCanvas=!0);const altText=(await parent.
+_structTree.getAriaAttributes(`${AnnotationPrefix}${id2}`))?.get("aria-label")||"";initialData=data={annotationType:AnnotationEditorType.STAMP,bitmapId:bitmapId2,bitmap:bitmap2,pageIndex:pageNumber-1,rect:rect2.slice(0),rotation,annotationElementId:id2,id:id2,deleted:!1,accessibilityData:{decorative:!1,altText},isSvg:!1,structParent,popupRef,comment:contentsObj?.str||null}}const editor=await super.deserialize(data,parent,uiManager),{rect,bitmap,bitmapUrl,bitmapId,isSvg,accessibilityData}=data;missingCanvas?
+(uiManager.addMissingCanvas(data.id,editor),editor.#missingCanvas=!0):bitmapId&&uiManager.imageManager.isValidId(bitmapId)?(editor.#bitmapId=bitmapId,bitmap&&(editor.#bitmap=bitmap)):editor.#bitmapUrl=bitmapUrl,editor.#isSvg=isSvg;const[parentWidth,parentHeight]=editor.pageDimensions;return editor.width=(rect[2]-rect[0])/parentWidth,editor.height=(rect[3]-rect[1])/parentHeight,accessibilityData&&(editor.altTextData=accessibilityData),editor._initialData=initialData,data.comment&&editor.setCommentData(
+data.comment),editor.#hasBeenAddedInUndoStack=!!initialData,editor}serialize(isForCopying=!1,context=null){if(this.isEmpty())return null;if(this.deleted)return this.serializeDeleted();const serialized={annotationType:AnnotationEditorType.STAMP,bitmapId:this.#bitmapId,pageIndex:this.pageIndex,rect:this.getRect(0,0),rotation:this.rotation,isSvg:this.#isSvg,structTreeParentId:this._structTreeParentId};if(this.addComment(serialized),isForCopying)return serialized.bitmapUrl=this.#serializeBitmap(!0),
+serialized.accessibilityData=this.serializeAltText(!0),serialized.isCopy=!0,serialized;const{decorative,altText}=this.serializeAltText(!1);if(!decorative&&altText&&(serialized.accessibilityData={type:"Figure",alt:altText}),this.annotationElementId){const changes=this.#hasElementChanged(serialized);if(changes.isSame)return null;changes.isSameAltText?delete serialized.accessibilityData:serialized.accessibilityData.structParent=this._initialData.structParent??-1}if(serialized.id=this.annotationElementId,
+context===null)return serialized;context.stamps||=new Map;const area=this.#isSvg?(serialized.rect[2]-serialized.rect[0])*(serialized.rect[3]-serialized.rect[1]):null;if(!context.stamps.has(this.#bitmapId))context.stamps.set(this.#bitmapId,{area,serialized}),serialized.bitmap=this.#serializeBitmap(!1);else if(this.#isSvg){const prevData=context.stamps.get(this.#bitmapId);area>prevData.area&&(prevData.area=area,prevData.serialized.bitmap.close(),prevData.serialized.bitmap=this.#serializeBitmap(!1))}
+return serialized}#hasElementChanged(serialized){const{pageIndex,accessibilityData:{altText}}=this._initialData,isSamePageIndex=serialized.pageIndex===pageIndex,isSameAltText=(serialized.accessibilityData?.alt||"")===altText;return{isSame:!this.hasEditedComment&&!this._hasBeenMoved&&!this._hasBeenResized&&isSamePageIndex&&isSameAltText,isSameAltText}}renderAnnotationElement(annotation){const params={rect:this.getRect(0,0)};return this.hasEditedComment&&(params.popup=this.comment),annotation.updateEdited(
+params),null}}class AnnotationEditorLayer{#accessibilityManager;#allowClick=!1;#annotationLayer=null;#clickAC=null;#editorFocusTimeoutId=null;#editors=new Map;#hadPointerDown=!1;#isDisabling=!1;#isEnabling=!1;#drawingAC=null;#focusedElement=null;#textLayer=null;#textSelectionAC=null;#textLayerDblClickAC=null;#lastPointerDownTimestamp=-1;#uiManager;static _initialized=!1;static#editorTypes=new Map([FreeTextEditor,InkEditor,StampEditor,HighlightEditor,SignatureEditor].map(type2=>[type2._editorType,
+type2]));constructor({uiManager,pageIndex,div,structTreeLayer,accessibilityManager,annotationLayer,drawLayer,textLayer,viewport,l10n}){const editorTypes=[...AnnotationEditorLayer.#editorTypes.values()];if(!AnnotationEditorLayer._initialized){AnnotationEditorLayer._initialized=!0;for(const editorType of editorTypes)editorType.initialize(l10n,uiManager)}uiManager.registerEditorTypes(editorTypes),this.#uiManager=uiManager,this.pageIndex=pageIndex,this.div=div,this.#accessibilityManager=accessibilityManager,
+this.#annotationLayer=annotationLayer,this.viewport=viewport,this.#textLayer=textLayer,this.drawLayer=drawLayer,this._structTree=structTreeLayer,this.#uiManager.addLayer(this)}get isEmpty(){return this.#editors.size===0}get isInvisible(){return this.isEmpty&&this.#uiManager.getMode()===AnnotationEditorType.NONE}updateToolbar(options){this.#uiManager.updateToolbar(options)}updateMode(mode=this.#uiManager.getMode()){switch(this.#cleanup(),mode){case AnnotationEditorType.NONE:this.disableTextSelection(),
+this.togglePointerEvents(!1),this.toggleAnnotationLayerPointerEvents(!0),this.disableClick();return;case AnnotationEditorType.INK:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick();break;case AnnotationEditorType.HIGHLIGHT:this.enableTextSelection(),this.togglePointerEvents(!1),this.disableClick();break;default:this.disableTextSelection(),this.togglePointerEvents(!0),this.enableClick()}this.toggleAnnotationLayerPointerEvents(!1);const{classList}=this.div;for(const editorType of AnnotationEditorLayer.#editorTypes.
+values())classList.toggle(`${editorType._type}Editing`,mode===editorType._editorType);this.div.hidden=!1}hasTextLayer(textLayer){return textLayer===this.#textLayer?.div}setEditingState(isEditing2){this.#uiManager.setEditingState(isEditing2)}addCommands(params){this.#uiManager.addCommands(params)}cleanUndoStack(type2){this.#uiManager.cleanUndoStack(type2)}toggleDrawing(enabled=!1){this.div.classList.toggle("drawing",!enabled)}togglePointerEvents(enabled=!1){this.div.classList.toggle("disabled",!enabled)}toggleAnnotationLayerPointerEvents(enabled=!1){
+this.#annotationLayer?.div.classList.toggle("disabled",!enabled)}async enable(){this.#isEnabling=!0,this.div.tabIndex=0,this.togglePointerEvents(!0),this.#textLayerDblClickAC?.abort(),this.#textLayerDblClickAC=null;const annotationElementIds=new Set;for(const editor of this.#editors.values())editor.enableEditing(),editor.show(!0),editor.annotationElementId&&(this.#uiManager.removeChangedExistingAnnotation(editor),annotationElementIds.add(editor.annotationElementId));if(!this.#annotationLayer){this.#isEnabling=
+!1;return}const editables=this.#annotationLayer.getEditableAnnotations();for(const editable of editables){if(editable.hide(),this.#uiManager.isDeletedAnnotationElement(editable.data.id)||annotationElementIds.has(editable.data.id))continue;const editor=await this.deserialize(editable);editor&&(this.addOrRebuild(editor),editor.enableEditing())}this.#isEnabling=!1}disable(){if(this.#isDisabling=!0,this.div.tabIndex=-1,this.togglePointerEvents(!1),this.#textLayer&&!this.#textLayerDblClickAC){this.#textLayerDblClickAC=
+new AbortController;const signal=this.#uiManager.combinedSignal(this.#textLayerDblClickAC);this.#textLayer.div.addEventListener("pointerdown",e=>{const{clientX,clientY,timeStamp}=e,lastPointerDownTimestamp=this.#lastPointerDownTimestamp;if(timeStamp-lastPointerDownTimestamp>500){this.#lastPointerDownTimestamp=timeStamp;return}this.#lastPointerDownTimestamp=-1;const{classList:classList2}=this.div;classList2.toggle("getElements",!0);const elements=document.elementsFromPoint(clientX,clientY);if(classList2.
+toggle("getElements",!1),!this.div.contains(elements[0]))return;let id2;const regex=new RegExp(`^${AnnotationEditorPrefix}[0-9]+$`);for(const element2 of elements)if(regex.test(element2.id)){id2=element2.id;break}if(!id2)return;const editor=this.#editors.get(id2);editor?.annotationElementId===null&&(e.stopPropagation(),e.preventDefault(),editor.dblclick())},{signal,capture:!0})}const changedAnnotations=new Map,resetAnnotations=new Map;for(const editor of this.#editors.values())if(editor.disableEditing(),
+!!editor.annotationElementId){if(editor.serialize()!==null){changedAnnotations.set(editor.annotationElementId,editor);continue}else resetAnnotations.set(editor.annotationElementId,editor);this.getEditableAnnotation(editor.annotationElementId)?.show(),editor.remove()}if(this.#annotationLayer){const editables=this.#annotationLayer.getEditableAnnotations();for(const editable of editables){const{id:id2}=editable.data;if(this.#uiManager.isDeletedAnnotationElement(id2)){editable.updateEdited({deleted:!0});
+continue}let editor=resetAnnotations.get(id2);if(editor){editor.resetAnnotationElement(editable),editor.show(!1),editable.show();continue}editor=changedAnnotations.get(id2),editor&&(this.#uiManager.addChangedExistingAnnotation(editor),editor.renderAnnotationElement(editable)&&editor.show(!1)),editable.show()}}this.#cleanup(),this.isEmpty&&(this.div.hidden=!0);const{classList}=this.div;for(const editorType of AnnotationEditorLayer.#editorTypes.values())classList.remove(`${editorType._type}Editing`);
+this.disableTextSelection(),this.toggleAnnotationLayerPointerEvents(!0),this.#isDisabling=!1}getEditableAnnotation(id2){return this.#annotationLayer?.getEditableAnnotation(id2)||null}setActiveEditor(editor){this.#uiManager.getActive()!==editor&&this.#uiManager.setActiveEditor(editor)}enableTextSelection(){if(this.div.tabIndex=-1,this.#textLayer?.div&&!this.#textSelectionAC){this.#textSelectionAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#textSelectionAC);this.#textLayer.
+div.addEventListener("pointerdown",this.#textLayerPointerDown.bind(this),{signal}),this.#textLayer.div.classList.add("highlighting")}}disableTextSelection(){this.div.tabIndex=0,this.#textLayer?.div&&this.#textSelectionAC&&(this.#textSelectionAC.abort(),this.#textSelectionAC=null,this.#textLayer.div.classList.remove("highlighting"))}#textLayerPointerDown(event2){this.#uiManager.unselectAll();const{target:target2}=event2;if(target2===this.#textLayer.div||(target2.getAttribute("role")==="img"||target2.
+classList.contains("endOfContent"))&&this.#textLayer.div.contains(target2)){const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac)return;this.#uiManager.showAllEditors("highlight",!0,!0),this.#textLayer.div.classList.add("free"),this.toggleDrawing(),HighlightEditor.startHighlighting(this,this.#uiManager.direction==="ltr",{target:this.#textLayer.div,x:event2.x,y:event2.y}),this.#textLayer.div.addEventListener("pointerup",()=>{this.#textLayer.div.classList.remove("free"),
+this.toggleDrawing(!0)},{once:!0,signal:this.#uiManager._signal}),event2.preventDefault()}}enableClick(){if(this.#clickAC)return;this.#clickAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#clickAC);this.div.addEventListener("pointerdown",this.pointerdown.bind(this),{signal});const pointerup=this.pointerup.bind(this);this.div.addEventListener("pointerup",pointerup,{signal}),this.div.addEventListener("pointercancel",pointerup,{signal})}disableClick(){this.#clickAC?.abort(),
+this.#clickAC=null}attach(editor){this.#editors.set(editor.id,editor);const{annotationElementId}=editor;annotationElementId&&this.#uiManager.isDeletedAnnotationElement(annotationElementId)&&this.#uiManager.removeDeletedAnnotationElement(editor)}detach(editor){this.#editors.delete(editor.id),this.#accessibilityManager?.removePointerInTextLayer(editor.contentDiv),!this.#isDisabling&&editor.annotationElementId&&this.#uiManager.addDeletedAnnotationElement(editor)}remove(editor){this.detach(editor),this.#uiManager.
+removeEditor(editor),editor.div.remove(),editor.isAttachedToDOM=!1}changeParent(editor){editor.parent!==this&&(editor.parent&&editor.annotationElementId&&(this.#uiManager.addDeletedAnnotationElement(editor.annotationElementId),AnnotationEditor.deleteAnnotationElement(editor),editor.annotationElementId=null),this.attach(editor),editor.parent?.detach(editor),editor.setParent(this),editor.div&&editor.isAttachedToDOM&&(editor.div.remove(),this.div.append(editor.div)))}add(editor){if(!(editor.parent===
+this&&editor.isAttachedToDOM)){if(this.changeParent(editor),this.#uiManager.addEditor(editor),this.attach(editor),!editor.isAttachedToDOM){const div=editor.render();this.div.append(div),editor.isAttachedToDOM=!0}editor.fixAndSetPosition(),editor.onceAdded(!this.#isEnabling),this.#uiManager.addToAnnotationStorage(editor),editor._reportTelemetry(editor.telemetryInitialData)}}moveEditorInDOM(editor){if(!editor.isAttachedToDOM)return;const{activeElement}=document;editor.div.contains(activeElement)&&
+!this.#editorFocusTimeoutId&&(editor._focusEventsAllowed=!1,this.#editorFocusTimeoutId=setTimeout(()=>{this.#editorFocusTimeoutId=null,editor.div.contains(document.activeElement)?editor._focusEventsAllowed=!0:(editor.div.addEventListener("focusin",()=>{editor._focusEventsAllowed=!0},{once:!0,signal:this.#uiManager._signal}),activeElement.focus())},0)),editor._structTreeParentId=this.#accessibilityManager?.moveElementInDOM(this.div,editor.div,editor.contentDiv,!0)}addOrRebuild(editor){editor.needsToBeRebuilt()?
+(editor.parent||=this,editor.rebuild(),editor.show()):this.add(editor)}addUndoableEditor(editor){const cmd=()=>editor._uiManager.rebuild(editor),undo=()=>{editor.remove()};this.addCommands({cmd,undo,mustExec:!1})}getNextId(){return this.#uiManager.getId()}get#currentEditorType(){return AnnotationEditorLayer.#editorTypes.get(this.#uiManager.getMode())}combinedSignal(ac){return this.#uiManager.combinedSignal(ac)}#createNewEditor(params){const editorType=this.#currentEditorType;return editorType?new editorType.
+prototype.constructor(params):null}canCreateNewEmptyEditor(){return this.#currentEditorType?.canCreateNewEmptyEditor()}async pasteEditor(options,params){this.updateToolbar(options),await this.#uiManager.updateMode(options.mode);const{offsetX,offsetY}=this.#getCenterPoint(),id2=this.getNextId(),editor=this.#createNewEditor({parent:this,id:id2,x:offsetX,y:offsetY,uiManager:this.#uiManager,isCentered:!0,...params});editor&&this.add(editor)}async deserialize(data){return await AnnotationEditorLayer.#editorTypes.
+get(data.annotationType??data.annotationEditorType)?.deserialize(data,this,this.#uiManager)||null}createAndAddNewEditor(event2,isCentered,data={}){const id2=this.getNextId(),editor=this.#createNewEditor({parent:this,id:id2,x:event2.offsetX,y:event2.offsetY,uiManager:this.#uiManager,isCentered,...data});return editor&&this.add(editor),editor}#getCenterPoint(){const{x,y,width,height}=this.div.getBoundingClientRect(),tlX=Math.max(0,x),tlY=Math.max(0,y),brX=Math.min(window.innerWidth,x+width),brY=Math.
+min(window.innerHeight,y+height),centerX=(tlX+brX)/2-x,centerY=(tlY+brY)/2-y,[offsetX,offsetY]=this.viewport.rotation%180===0?[centerX,centerY]:[centerY,centerX];return{offsetX,offsetY}}addNewEditor(data={}){this.createAndAddNewEditor(this.#getCenterPoint(),!0,data)}setSelected(editor){this.#uiManager.setSelected(editor)}toggleSelected(editor){this.#uiManager.toggleSelected(editor)}unselect(editor){this.#uiManager.unselect(editor)}pointerup(event2){const{isMac}=util_FeatureTest.platform;if(event2.
+button!==0||event2.ctrlKey&&isMac||event2.target!==this.div||!this.#hadPointerDown||(this.#hadPointerDown=!1,this.#currentEditorType?.isDrawer&&this.#currentEditorType.supportMultipleDrawings))return;if(!this.#allowClick){this.#allowClick=!0;return}const currentMode=this.#uiManager.getMode();if(currentMode===AnnotationEditorType.STAMP||currentMode===AnnotationEditorType.SIGNATURE){this.#uiManager.unselectAll();return}this.createAndAddNewEditor(event2,!1)}pointerdown(event2){if(this.#uiManager.getMode()===
+AnnotationEditorType.HIGHLIGHT&&this.enableTextSelection(),this.#hadPointerDown){this.#hadPointerDown=!1;return}const{isMac}=util_FeatureTest.platform;if(event2.button!==0||event2.ctrlKey&&isMac||event2.target!==this.div)return;if(this.#hadPointerDown=!0,this.#currentEditorType?.isDrawer){this.startDrawingSession(event2);return}const editor=this.#uiManager.getActive();this.#allowClick=!editor||editor.isEmpty()}startDrawingSession(event2){if(this.div.focus({preventScroll:!0}),this.#drawingAC){this.#currentEditorType.
+startDrawing(this,this.#uiManager,!1,event2);return}this.#uiManager.setCurrentDrawingSession(this),this.#drawingAC=new AbortController;const signal=this.#uiManager.combinedSignal(this.#drawingAC);this.div.addEventListener("blur",({relatedTarget})=>{relatedTarget&&!this.div.contains(relatedTarget)&&(this.#focusedElement=null,this.commitOrRemove())},{signal}),this.#currentEditorType.startDrawing(this,this.#uiManager,!1,event2)}pause(on2){if(on2){const{activeElement}=document;this.div.contains(activeElement)&&
+(this.#focusedElement=activeElement);return}this.#focusedElement&&setTimeout(()=>{this.#focusedElement?.focus(),this.#focusedElement=null},0)}endDrawingSession(isAborted=!1){return this.#drawingAC?(this.#uiManager.setCurrentDrawingSession(null),this.#drawingAC.abort(),this.#drawingAC=null,this.#focusedElement=null,this.#currentEditorType.endDrawing(isAborted)):null}findNewParent(editor,x,y){const layer=this.#uiManager.findParent(x,y);return layer===null||layer===this?!1:(layer.changeParent(editor),
+!0)}commitOrRemove(){return this.#drawingAC?(this.endDrawingSession(),!0):!1}onScaleChanging(){this.#drawingAC&&this.#currentEditorType.onScaleChangingWhenDrawing(this)}destroy(){this.commitOrRemove(),this.#uiManager.getActive()?.parent===this&&(this.#uiManager.commitOrRemove(),this.#uiManager.setActiveEditor(null)),this.#editorFocusTimeoutId&&(clearTimeout(this.#editorFocusTimeoutId),this.#editorFocusTimeoutId=null);for(const editor of this.#editors.values())this.#accessibilityManager?.removePointerInTextLayer(
+editor.contentDiv),editor.setParent(null),editor.isAttachedToDOM=!1,editor.div.remove();this.div=null,this.#editors.clear(),this.#uiManager.removeLayer(this)}#cleanup(){for(const editor of this.#editors.values())editor.isEmpty()&&editor.remove()}render({viewport}){this.viewport=viewport,setLayerDimensions(this.div,viewport);for(const editor of this.#uiManager.getEditors(this.pageIndex))this.add(editor),editor.rebuild();this.updateMode()}update({viewport}){this.#uiManager.commitOrRemove(),this.#cleanup();
+const oldRotation=this.viewport.rotation,rotation=viewport.rotation;if(this.viewport=viewport,setLayerDimensions(this.div,{rotation}),oldRotation!==rotation)for(const editor of this.#editors.values())editor.rotate(rotation)}get pageDimensions(){const{pageWidth,pageHeight}=this.viewport.rawDims;return[pageWidth,pageHeight]}get scale(){return this.#uiManager.viewParameters.realScale}}class DrawLayer{#parent=null;#mapping=new Map;#toUpdate=new Map;static#id=0;constructor({pageIndex}){this.pageIndex=
+pageIndex}setParent(parent){if(!this.#parent){this.#parent=parent;return}if(this.#parent!==parent){if(this.#mapping.size>0)for(const root2 of this.#mapping.values())root2.remove(),parent.append(root2);this.#parent=parent}}static get _svgFactory(){return shadow(this,"_svgFactory",new DOMSVGFactory)}static#setBox(element2,[x,y,width,height]){const{style:style2}=element2;style2.top=`${100*y}%`,style2.left=`${100*x}%`,style2.width=`${100*width}%`,style2.height=`${100*height}%`}#createSVG(){const svg2=DrawLayer.
+_svgFactory.create(1,1,!0);return this.#parent.append(svg2),svg2.setAttribute("aria-hidden",!0),svg2}#createClipPath(defs,pathId){const clipPath=DrawLayer._svgFactory.createElement("clipPath");defs.append(clipPath);const clipPathId=`clip_${pathId}`;clipPath.setAttribute("id",clipPathId),clipPath.setAttribute("clipPathUnits","objectBoundingBox");const clipPathUse=DrawLayer._svgFactory.createElement("use");return clipPath.append(clipPathUse),clipPathUse.setAttribute("href",`#${pathId}`),clipPathUse.
+classList.add("clip"),clipPathId}#updateProperties(element2,properties2){for(const[key2,value]of Object.entries(properties2))value===null?element2.removeAttribute(key2):element2.setAttribute(key2,value)}draw(properties2,isPathUpdatable=!1,hasClip=!1){const id2=DrawLayer.#id++,root2=this.#createSVG(),defs=DrawLayer._svgFactory.createElement("defs");root2.append(defs);const path2=DrawLayer._svgFactory.createElement("path");defs.append(path2);const pathId=`path_p${this.pageIndex}_${id2}`;path2.setAttribute(
+"id",pathId),path2.setAttribute("vector-effect","non-scaling-stroke"),isPathUpdatable&&this.#toUpdate.set(id2,path2);const clipPathId=hasClip?this.#createClipPath(defs,pathId):null,use=DrawLayer._svgFactory.createElement("use");return root2.append(use),use.setAttribute("href",`#${pathId}`),this.updateProperties(root2,properties2),this.#mapping.set(id2,root2),{id:id2,clipPathId:`url(#${clipPathId})`}}drawOutline(properties2,mustRemoveSelfIntersections){const id2=DrawLayer.#id++,root2=this.#createSVG(),
+defs=DrawLayer._svgFactory.createElement("defs");root2.append(defs);const path2=DrawLayer._svgFactory.createElement("path");defs.append(path2);const pathId=`path_p${this.pageIndex}_${id2}`;path2.setAttribute("id",pathId),path2.setAttribute("vector-effect","non-scaling-stroke");let maskId;if(mustRemoveSelfIntersections){const mask=DrawLayer._svgFactory.createElement("mask");defs.append(mask),maskId=`mask_p${this.pageIndex}_${id2}`,mask.setAttribute("id",maskId),mask.setAttribute("maskUnits","obje\
+ctBoundingBox");const rect=DrawLayer._svgFactory.createElement("rect");mask.append(rect),rect.setAttribute("width","1"),rect.setAttribute("height","1"),rect.setAttribute("fill","white");const use=DrawLayer._svgFactory.createElement("use");mask.append(use),use.setAttribute("href",`#${pathId}`),use.setAttribute("stroke","none"),use.setAttribute("fill","black"),use.setAttribute("fill-rule","nonzero"),use.classList.add("mask")}const use1=DrawLayer._svgFactory.createElement("use");root2.append(use1),
+use1.setAttribute("href",`#${pathId}`),maskId&&use1.setAttribute("mask",`url(#${maskId})`);const use2=use1.cloneNode();return root2.append(use2),use1.classList.add("mainOutline"),use2.classList.add("secondaryOutline"),this.updateProperties(root2,properties2),this.#mapping.set(id2,root2),id2}finalizeDraw(id2,properties2){this.#toUpdate.delete(id2),this.updateProperties(id2,properties2)}updateProperties(elementOrId,properties2){if(!properties2)return;const{root:root2,bbox,rootClass,path:path2}=properties2,
+element2=typeof elementOrId=="number"?this.#mapping.get(elementOrId):elementOrId;if(element2){if(root2&&this.#updateProperties(element2,root2),bbox&&DrawLayer.#setBox(element2,bbox),rootClass){const{classList}=element2;for(const[className,value]of Object.entries(rootClass))classList.toggle(className,value)}if(path2){const pathElement=element2.firstChild.firstChild;this.#updateProperties(pathElement,path2)}}}updateParent(id2,layer){if(layer===this)return;const root2=this.#mapping.get(id2);root2&&
+(layer.#parent.append(root2),this.#mapping.delete(id2),layer.#mapping.set(id2,root2))}remove(id2){this.#toUpdate.delete(id2),this.#parent!==null&&(this.#mapping.get(id2).remove(),this.#mapping.delete(id2))}destroy(){this.#parent=null;for(const root2 of this.#mapping.values())root2.remove();this.#mapping.clear(),this.#toUpdate.clear()}}globalThis._pdfjsTestingUtils={HighlightOutliner};globalThis.pdfjsLib={AbortException,AnnotationEditorLayer,AnnotationEditorParamsType,AnnotationEditorType,AnnotationEditorUIManager,
+AnnotationLayer,AnnotationMode,AnnotationType,build,ColorPicker,createValidAbsoluteUrl,DOMSVGFactory,DrawLayer,FeatureTest:util_FeatureTest,fetchData,getDocument,getFilenameFromUrl,getPdfFilenameFromUrl,getRGB,getUuid,getXfaPageViewport,GlobalWorkerOptions,ImageKind:util_ImageKind,InvalidPDFException,isDataScheme,isPdfFile,isValidExplicitDest,MathClamp,noContextMenu,normalizeUnicode,OPS,OutputScale,PasswordResponses,PDFDataRangeTransport,PDFDateString,PDFWorker,PermissionFlag,PixelsPerInch,RenderingCancelledException,
+ResponseException,setLayerDimensions,shadow,SignatureExtractor,stopEvent,SupportedImageMimeTypes,TextLayer,TouchManager,updateUrlHash,Util,VerbosityLevel,version:version$1,XfaLayer};__vitePreload(()=>Promise.resolve().then(()=>pdf_worker_min$1),[],import.meta.url).then(workerModule=>{const workerBlob=new Blob([workerModule.default],{type:"application/javascript"});GlobalWorkerOptions.workerSrc=URL.createObjectURL(workerBlob)}).catch(()=>{console.warn("Failed to load PDF.js worker, \
+PDF processing may not work")});async function getFileAsBuffer(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=event2=>{event2.target?.result?resolve2(event2.target.result):reject(new Error("Failed to read file."))},reader.onerror=()=>{reject(new Error("Failed to read file."))},reader.readAsArrayBuffer(file)})}async function convertPDFToText(file){try{const buffer=await getFileAsBuffer(file),pdf=await getDocument(buffer).promise,numPages=pdf.numPages,textContentPromises=[];
+for(let i=1;i<=numPages;i++)textContentPromises.push(pdf.getPage(i).then(page2=>page2.getTextContent()));return(await Promise.all(textContentPromises)).flatMap(textContent=>textContent.items.map(item=>item.str??"")).join(`
+`)}catch(error2){throw console.error("Error converting PDF to text:",error2),new Error(`Failed to convert PDF to text: ${error2 instanceof Error?error2.message:"Unknown error"}`)}}async function convertPDFToImage(file,scale2=1.5){try{const buffer=await getFileAsBuffer(file),doc=await getDocument(buffer).promise,pages=[];for(let i=1;i<=doc.numPages;i++){const page2=await doc.getPage(i),viewport=page2.getViewport({scale:scale2}),canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(canvas.
+width=viewport.width,canvas.height=viewport.height,!ctx)throw new Error("Failed to get 2D context from canvas");const task=page2.render({canvasContext:ctx,viewport,canvas});pages.push(task.promise.then(()=>canvas.toDataURL(MimeTypeImage.PNG)))}return await Promise.all(pages)}catch(error2){throw console.error("Error converting PDF to images:",error2),new Error(`Failed to convert PDF to images: ${error2 instanceof Error?error2.message:"Unknown error"}`)}}function svgBase64UrlToPngDataURL(base64UrlSvg,backgroundColor="\
+white"){return new Promise((resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight),
+resolve2(canvas.toDataURL(MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load SVG image. Ensure the SVG data is valid."))},img.src=base64UrlSvg}catch(error2){const errorMessage=`Error converting SVG to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isSvgMimeType(mimeType){return mimeType===MimeTypeImage.SVG}function webpBase64UrlToPngDataURL(base64UrlWebp,backgroundColor="white"){return new Promise(
+(resolve2,reject)=>{try{const img=new Image;img.onload=()=>{const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d");if(!ctx){reject(new Error("Failed to get 2D canvas context."));return}const targetWidth=img.naturalWidth||300,targetHeight=img.naturalHeight||300;canvas.width=targetWidth,canvas.height=targetHeight,backgroundColor&&(ctx.fillStyle=backgroundColor,ctx.fillRect(0,0,canvas.width,canvas.height)),ctx.drawImage(img,0,0,targetWidth,targetHeight),resolve2(canvas.toDataURL(
+MimeTypeImage.PNG))},img.onerror=()=>{reject(new Error("Failed to load WebP image. Ensure the WebP data is valid."))},img.src=base64UrlWebp}catch(error2){const errorMessage=`Error converting WebP to PNG: ${error2 instanceof Error?error2.message:String(error2)}`;console.error(errorMessage,error2),reject(new Error(errorMessage))}})}function isWebpMimeType(mimeType){return mimeType===MimeTypeImage.WEBP}function readFileAsBase64(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;
+reader.onload=()=>{const base642=reader.result.split(",")[1];resolve2(base642)},reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}async function parseFilesToMessageExtras(files,activeModelId){const extras=[],emptyFiles=[];for(const file of files){if(file.type===SpecialFileType.MCP_PROMPT&&file.mcpPrompt){extras.push({type:AttachmentType.MCP_PROMPT,name:file.name,size:file.size,serverName:file.mcpPrompt.serverName,promptName:file.mcpPrompt.promptName,content:file.textContent??"",
+arguments:file.mcpPrompt.arguments});continue}if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){if(file.preview){let base64Url=file.preview;if(isSvgMimeType(file.type))try{base64Url=await svgBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert SVG to PNG for database storage:",error2)}else if(isWebpMimeType(file.type))try{base64Url=await webpBase64UrlToPngDataURL(base64Url)}catch(error2){console.error("Failed to convert WebP to PNG for database storage:",error2)}
+extras.push({type:AttachmentType.IMAGE,name:file.name,size:file.size,base64Url})}}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)try{const base64Data=await readFileAsBase64(file.file);extras.push({type:AttachmentType.AUDIO,name:file.name,size:file.size,base64Data,mimeType:file.type})}catch(error2){console.error(`Failed to process audio file ${file.name}:`,error2)}else if(getFileTypeCategory(file.type)===FileTypeCategory.PDF)try{const base64Data=await readFileAsBase64(file.file),
+currentConfig=config$1(),hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1;let shouldProcessAsImages=!!currentConfig.pdfAsImage&&hasVisionSupport;if(currentConfig.pdfAsImage&&!hasVisionSupport&&(console.log("Non-vision model detected: forcing PDF-to-text mode and updating settings"),settingsStore.updateConfig("pdfAsImage",!1),toast.warning("PDF setting changed: Non-vision model detected, PDFs will be processed as text instead of images.",{duration:5e3}),shouldProcessAsImages=
+!1),shouldProcessAsImages)try{const images=await convertPDFToImage(file.file);toast.success(`PDF "${file.name}" processed as ${images.length} images for vision model.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:`PDF file with ${images.length} pages`,images,processedAsImages:!0,base64Data})}catch(imageError){console.warn(`Failed to process PDF ${file.name} as images, falling back to text:`,imageError);const content2=await convertPDFToText(file.file);
+extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:content2,processedAsImages:!1,base64Data})}else{const content2=await convertPDFToText(file.file);toast.success(`PDF "${file.name}" processed as text content.`,{duration:3e3}),extras.push({type:AttachmentType.PDF,name:file.name,size:file.size,content:content2,processedAsImages:!1,base64Data})}}catch(error2){console.error(`Failed to process PDF file ${file.name}:`,error2)}else try{const content2=await readFileAsText(file.file);
+content2.trim()===""?(console.warn(`File ${file.name} is empty and will be skipped`),emptyFiles.push(file.name)):isLikelyTextFile(content2)?extras.push({type:AttachmentType.TEXT,name:file.name,size:file.size,content:content2}):console.warn(`File ${file.name} appears to be binary and will be skipped`)}catch(error2){console.error(`Failed to read file ${file.name}:`,error2)}}return{extras,emptyFiles}}function readFileAsDataURL(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;
+reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsDataURL(file)})}function readFileAsUTF8(file){return new Promise((resolve2,reject)=>{const reader=new FileReader;reader.onload=()=>resolve2(reader.result),reader.onerror=()=>reject(reader.error),reader.readAsText(file)})}async function processFilesToChatUploaded(files,activeModelId){const results=[];for(const file of files){const base2={id:Date.now().toString()+Math.random().toString(36).substr(2,9),name:file.
+name,size:file.size,type:file.type,file};try{if(getFileTypeCategory(file.type)===FileTypeCategory.IMAGE){let preview=await readFileAsDataURL(file);if(isSvgMimeType(file.type))try{preview=await svgBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert SVG to PNG:",err)}else if(isWebpMimeType(file.type))try{preview=await webpBase64UrlToPngDataURL(preview)}catch(err){console.error("Failed to convert WebP to PNG:",err)}results.push({...base2,preview})}else if(getFileTypeCategory(
+file.type)===FileTypeCategory.PDF){try{const textContent=await convertPDFToText(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to extract text from PDF, adding without content:",err),results.push(base2)}const hasVisionSupport=activeModelId?modelsStore.modelSupportsVision(activeModelId):!1,currentConfig=settingsStore.config;hasVisionSupport&&!currentConfig.pdfAsImage&&toast.info("You can enable parsing PDF as images with vision models.",{duration:8e3,action:{label:"Ena\
+ble PDF as Images",onClick:()=>{settingsStore.updateConfig("pdfAsImage",!0),toast.success("PDF parsing as images enabled!",{duration:3e3})}}})}else if(getFileTypeCategory(file.type)===FileTypeCategory.AUDIO){const preview=await readFileAsDataURL(file);results.push({...base2,preview})}else try{const textContent=await readFileAsUTF8(file);results.push({...base2,textContent})}catch(err){console.warn("Failed to read file as text, adding without content:",err),results.push(base2)}}catch(error2){console.
+error("Error processing file",file.name,error2),results.push(base2)}}return results}var root_1$R=from_html("<!> Text",1),root_3$S=from_html('<div class="mr-1 h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent"></div>'),root_2$12=from_html("<!> Pages",1),root_8$r=from_html('<span class="inline-flex">The selected model does not support vision. Only the extracted  <span class="mx-1 cursor-pointer underline">text</span> will be sent to the model.</span>'),root_6$u=from_html(
+"<!> <!> <!>",1),root_9$l=from_html('<div class="flex flex-1 items-center justify-center p-8"><div class="text-center"><div class="mx-auto mb-4 h-8 w-8 animate-spin rounded-full border-4 border-white border-t-transparent"></div> <p class="text-white/70">Converting PDF to images...</p></div></div>'),root_10$f=from_html('<div class="flex flex-1 items-center justify-center p-8"><div class="text-center"><!> <p class="mb-4 text-white/70">Failed to load PDF images</p> <p class="text-sm text-white/50">\
+ </p></div></div>'),root_12$9=from_html('<p class="mb-2 text-sm text-white/50"> </p> <img class="mx-auto max-w-[85vw] rounded-lg shadow-lg"/> <div class="h-4"></div>',1),root_13$c=from_html('<div class="flex flex-1 items-center justify-center p-8"><div class="text-center"><!> <p class="text-white/70">No PDF pages available</p></div></div>'),root_14$7=from_html('<div class="px-4 pb-4"><!></div>'),root$1v=from_html('<div class="mb-4 flex items-center justify-end gap-2"><!> <!></div> <!> <!> <!>',1);
+function ChatAttachmentsPreviewCurrentItemPdf($$anchor,$$props){push$1($$props,!0);let pdfViewMode=state$1(proxy(PdfViewMode.PAGES)),pdfImages=state$1(proxy([])),pdfImagesLoading=state$1(!1),pdfImagesError=state$1(null),language2=user_derived(()=>getLanguageFromFilename($$props.displayName));async function loadPdfImages(){if(!(get$3(pdfImages).length>0||get$3(pdfImagesLoading)||!$$props.currentItem)){set$1(pdfImagesLoading,!0),set$1(pdfImagesError,null);try{let file=null;if($$props.currentItem.uploadedFile?.
+file)file=$$props.currentItem.uploadedFile.file;else if($$props.currentItem.attachment){if("images"in $$props.currentItem.attachment&&$$props.currentItem.attachment.images&&Array.isArray($$props.currentItem.attachment.images)&&$$props.currentItem.attachment.images.length>0){set$1(pdfImages,$$props.currentItem.attachment.images,!0);return}if("base64Data"in $$props.currentItem.attachment&&$$props.currentItem.attachment.base64Data){const base64Data=$$props.currentItem.attachment.base64Data,byteCharacters=atob(
+base64Data),byteNumbers=new Array(byteCharacters.length);for(let i=0;i<byteCharacters.length;i++)byteNumbers[i]=byteCharacters.charCodeAt(i);const byteArray=new Uint8Array(byteNumbers);file=new File([byteArray],$$props.displayName,{type:"application/pdf"})}}if(file)set$1(pdfImages,await convertPDFToImage(file),!0);else throw new Error("No PDF file available for conversion")}catch(error2){set$1(pdfImagesError,error2 instanceof Error?error2.message:"Failed to load PDF images",!0)}finally{set$1(pdfImagesLoading,
+!1)}}}user_effect(()=>{get$3(pdfViewMode)===PdfViewMode.PAGES&&loadPdfImages()});var fragment=root$1v(),div=first_child(fragment),node2=child(div);{let $0=user_derived(()=>get$3(pdfViewMode)===PdfViewMode.TEXT?"default":"outline");Button(node2,{get variant(){return get$3($0)},size:"sm",onclick:()=>set$1(pdfViewMode,PdfViewMode.TEXT,!0),get disabled(){return get$3(pdfImagesLoading)},children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$R(),node_1=first_child(fragment_1);File_text(node_1,{class:"\
+mr-1 h-4 w-4"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var node_2=sibling(node2,2);{let $0=user_derived(()=>get$3(pdfViewMode)===PdfViewMode.PAGES?"default":"outline");Button(node_2,{get variant(){return get$3($0)},size:"sm",onclick:()=>set$1(pdfViewMode,PdfViewMode.PAGES,!0),get disabled(){return get$3(pdfImagesLoading)},children:($$anchor2,$$slotProps)=>{var fragment_2=root_2$12(),node_3=first_child(fragment_2);{var consequent=$$anchor3=>{var div_1=root_3$S();append($$anchor3,
+div_1)},alternate=$$anchor3=>{Eye($$anchor3,{class:"mr-1 h-4 w-4"})};if_block(node_3,$$render=>{get$3(pdfImagesLoading)?$$render(consequent):$$render(alternate,-1)})}next$1(),append($$anchor2,fragment_2)},$$slots:{default:!0}})}reset(div);var node_4=sibling(div,2);{var consequent_1=$$anchor2=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);component(node_5,()=>Alert,($$anchor3,Alert_Root)=>{Alert_Root($$anchor3,{class:"mb-4 max-w-4xl",children:($$anchor4,$$slotProps)=>{var fragment_5=root_6$u(),
+node_6=first_child(fragment_5);Info$1(node_6,{class:"h-4 w-4"});var node_7=sibling(node_6,2);component(node_7,()=>Alert_title,($$anchor5,Alert_Title)=>{Alert_Title($$anchor5,{children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8("Preview only");append($$anchor6,text2)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);component(node_8,()=>Alert_description,($$anchor5,Alert_Description)=>{Alert_Description($$anchor5,{children:($$anchor6,$$slotProps2)=>{var span=root_8$r(),span_1=sibling(
+child(span));next$1(),reset(span),delegated("click",span_1,()=>set$1(pdfViewMode,PdfViewMode.TEXT,!0)),append($$anchor6,span)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)},$$slots:{default:!0}})}),append($$anchor2,fragment_4)};if_block(node_4,$$render=>{!$$props.hasVisionModality&&$$props.activeModelId&&$$props.currentItem&&$$render(consequent_1)})}var node_9=sibling(node_4,2);{var consequent_2=$$anchor2=>{var div_2=root_9$l();append($$anchor2,div_2)},consequent_3=$$anchor2=>{var div_3=root_10$f(),
+div_4=child(div_3),node_10=child(div_4);File_text(node_10,{class:"mx-auto mb-4 h-16 w-16 text-white/50"});var p2=sibling(node_10,4),text_1=child(p2,!0);reset(p2),reset(div_4),reset(div_3),template_effect(()=>set_text(text_1,get$3(pdfImagesError))),append($$anchor2,div_3)},consequent_4=$$anchor2=>{var fragment_6=comment$2(),node_11=first_child(fragment_6);each(node_11,18,()=>get$3(pdfImages),image2=>image2,($$anchor3,image2,index2)=>{var fragment_7=root_12$9(),p_1=first_child(fragment_7),text_2=child(
+p_1);reset(p_1);var img=sibling(p_1,2);next$1(2),template_effect(()=>{set_text(text_2,`Page ${get$3(index2)+1}`),set_attribute(img,"src",image2),set_attribute(img,"alt",`PDF Page ${get$3(index2)+1}`)}),append($$anchor3,fragment_7)}),append($$anchor2,fragment_6)},alternate_1=$$anchor2=>{var div_5=root_13$c(),div_6=child(div_5),node_12=child(div_6);File_text(node_12,{class:"mx-auto mb-4 h-16 w-16 text-white/50"}),next$1(2),reset(div_6),reset(div_5),append($$anchor2,div_5)};if_block(node_9,$$render=>{
+get$3(pdfImagesLoading)?$$render(consequent_2):get$3(pdfImagesError)?$$render(consequent_3,1):get$3(pdfImages).length>0?$$render(consequent_4,2):$$render(alternate_1,-1)})}var node_13=sibling(node_9,2);{var consequent_5=$$anchor2=>{var div_7=root_14$7(),node_14=child(div_7);SyntaxHighlightedCode(node_14,{class:"max-w-4xl",get code(){return $$props.displayTextContent},get language(){return get$3(language2)},maxHeight:"none"}),reset(div_7),append($$anchor2,div_7)};if_block(node_13,$$render=>{get$3(
+pdfViewMode)===PdfViewMode.TEXT&&$$props.displayTextContent&&$$render(consequent_5)})}append($$anchor,fragment),pop()}delegate(["click"]);var root_1$Q=from_html('<div class="flex flex-1 items-center justify-center"><img class="max-h-[80vh] max-w-[80vw] rounded-lg object-contain shadow-lg"/></div>');function ChatAttachmentsPreviewCurrentItemImage($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$Q(),img=child(div);
+reset(div),template_effect(()=>{set_attribute(img,"src",$$props.displayPreview),set_attribute(img,"alt",$$props.currentItem?.name||"preview")}),append($$anchor2,div)};if_block(node2,$$render=>{$$props.displayPreview&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_1$P=from_html('<audio controls="" class="mb-4 w-full">Your browser does not support the audio element.</audio>'),root_2$11=from_html('<p class="mb-4 text-white/70">Audio preview not available</p>'),root$1u=from_html('<d\
+iv class="flex flex-1 items-center justify-center p-8"><div class="w-full max-w-md text-center"><!> <!> <p class="text-sm text-white/50"> </p></div></div>');function ChatAttachmentsPreviewCurrentItemAudio($$anchor,$$props){push$1($$props,!0);var div=root$1u(),div_1=child(div),node2=child(div_1);Music(node2,{class:"mx-auto mb-4 h-16 w-16 text-white/50"});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var audio=root_1$P();template_effect(()=>set_attribute(audio,"src",$$props.audioSrc)),append(
+$$anchor2,audio)},alternate=$$anchor2=>{var p2=root_2$11();append($$anchor2,p2)};if_block(node_1,$$render=>{$$props.audioSrc?$$render(consequent):$$render(alternate,-1)})}var p_1=sibling(node_1,2),text2=child(p_1,!0);reset(p_1),reset(div_1),reset(div),template_effect(()=>set_text(text2,$$props.currentItem?.name||"Audio")),append($$anchor,div),pop()}var root_1$O=from_html('<div class="px-4 pb-4"><!></div>');function ChatAttachmentsPreviewCurrentItemText($$anchor,$$props){var fragment=comment$2(),
+node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$O(),node_1=child(div);SyntaxHighlightedCode(node_1,{class:"max-w-4xl",get code(){return $$props.displayTextContent},get language(){return $$props.language},maxHeight:"none"}),reset(div),append($$anchor2,div)};if_block(node2,$$render=>{$$props.displayTextContent&&$$render(consequent)})}append($$anchor,fragment)}var root$1t=from_html('<div class="flex flex-1 items-center justify-center p-8"><div class="text-center"><!> <p class\
+="text-white/70">Preview not available for this file type</p></div></div>');function ChatAttachmentsPreviewCurrentItemUnavailable($$anchor,$$props){var div=root$1t(),div_1=child(div),node2=child(div_1);component(node2,()=>$$props.IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"mx-auto mb-4 h-16 w-16 text-white/50"})}),next$1(2),reset(div_1),reset(div),append($$anchor,div)}function ChatAttachmentsPreviewCurrentItem($$anchor,$$props){push$1($$props,!0);let IconComponent=user_derived(
+()=>$$props.isImage?Image$1:$$props.isText||$$props.isPdf?File_text:$$props.isAudio?Music:File$1),isUnavailable=user_derived(()=>!$$props.isPdf&&!$$props.isImage&&!($$props.isText&&$$props.displayTextContent)&&!$$props.isAudio);var fragment=comment$2(),node2=first_child(fragment);{var consequent_5=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);key$1(node_1,()=>$$props.currentItem.id,$$anchor3=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor4=>{
+ChatAttachmentsPreviewCurrentItemPdf($$anchor4,{get currentItem(){return $$props.currentItem},get displayName(){return $$props.currentItem.name},get displayTextContent(){return $$props.displayTextContent},get hasVisionModality(){return $$props.hasVisionModality},get activeModelId(){return $$props.activeModelId}})},consequent_1=$$anchor4=>{ChatAttachmentsPreviewCurrentItemImage($$anchor4,{get currentItem(){return $$props.currentItem},get displayPreview(){return $$props.displayPreview}})},consequent_2=$$anchor4=>{
+ChatAttachmentsPreviewCurrentItemText($$anchor4,{get displayTextContent(){return $$props.displayTextContent},get language(){return $$props.language}})},consequent_3=$$anchor4=>{ChatAttachmentsPreviewCurrentItemAudio($$anchor4,{get currentItem(){return $$props.currentItem},get audioSrc(){return $$props.audioSrc}})},consequent_4=$$anchor4=>{ChatAttachmentsPreviewCurrentItemUnavailable($$anchor4,{get IconComponent(){return get$3(IconComponent)}})};if_block(node_2,$$render=>{$$props.isPdf?$$render(consequent):
+$$props.isImage?$$render(consequent_1,1):$$props.isText&&$$props.displayTextContent?$$render(consequent_2,2):$$props.isAudio?$$render(consequent_3,3):get$3(isUnavailable)&&$$render(consequent_4,4)})}append($$anchor3,fragment_2)}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.currentItem&&$$render(consequent_5)})}append($$anchor,fragment),pop()}class ChatService{static async sendMessage(messages,options={},conversationId,signal){const{stream,onChunk,onComplete,onError,onReasoningChunk,
+onToolCallChunk,onModel,onTimings,tools,temperature,max_tokens,dynatemp_range,dynatemp_exponent,top_k,top_p,min_p,xtc_probability,xtc_threshold,typ_p,repeat_last_n,repeat_penalty,presence_penalty,frequency_penalty,dry_multiplier,dry_base,dry_allowed_length,dry_penalty_last_n,samplers,backend_sampling,custom:custom2,timings_per_token,disableReasoningParsing,excludeReasoningFromContext}=options,normalizedMessages=messages.map(msg=>{if("id"in msg&&"convId"in msg&&"timestamp"in msg){const dbMsg=msg;
+return ChatService.convertDbMessageToApiChatMessageData(dbMsg)}else return msg}).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);options.model&&!modelsStore.modelSupportsVision(options.model)&&normalizedMessages.forEach(msg=>{Array.isArray(msg.content)&&(msg.content=msg.content.filter(part=>part.type===ContentPartType.IMAGE_URL?(console.info(`[ChatService] Skipping image attachment in message history (model "${options.model}" does not s\
+upport vision)`),!1):!0),msg.content.length===1&&msg.content[0].type===ContentPartType.TEXT&&(msg.content=msg.content[0].text))});const requestBody={messages:normalizedMessages.map(msg=>{const mapped={role:msg.role,content:msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoningFromContext&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream,return_progress:stream?!0:void 0,tools:tools&&tools.length>0?tools:void 0};if(options.
+model&&(requestBody.model=options.model),requestBody.reasoning_format=disableReasoningParsing?ReasoningFormat.NONE:ReasoningFormat.AUTO,temperature!==void 0&&(requestBody.temperature=temperature),max_tokens!==void 0&&(requestBody.max_tokens=max_tokens!==null&&max_tokens!==0?max_tokens:-1),dynatemp_range!==void 0&&(requestBody.dynatemp_range=dynatemp_range),dynatemp_exponent!==void 0&&(requestBody.dynatemp_exponent=dynatemp_exponent),top_k!==void 0&&(requestBody.top_k=top_k),top_p!==void 0&&(requestBody.
+top_p=top_p),min_p!==void 0&&(requestBody.min_p=min_p),xtc_probability!==void 0&&(requestBody.xtc_probability=xtc_probability),xtc_threshold!==void 0&&(requestBody.xtc_threshold=xtc_threshold),typ_p!==void 0&&(requestBody.typ_p=typ_p),repeat_last_n!==void 0&&(requestBody.repeat_last_n=repeat_last_n),repeat_penalty!==void 0&&(requestBody.repeat_penalty=repeat_penalty),presence_penalty!==void 0&&(requestBody.presence_penalty=presence_penalty),frequency_penalty!==void 0&&(requestBody.frequency_penalty=
+frequency_penalty),dry_multiplier!==void 0&&(requestBody.dry_multiplier=dry_multiplier),dry_base!==void 0&&(requestBody.dry_base=dry_base),dry_allowed_length!==void 0&&(requestBody.dry_allowed_length=dry_allowed_length),dry_penalty_last_n!==void 0&&(requestBody.dry_penalty_last_n=dry_penalty_last_n),samplers!==void 0&&(requestBody.samplers=typeof samplers=="string"?samplers.split(";").filter(s2=>s2.trim()):samplers),backend_sampling!==void 0&&(requestBody.backend_sampling=backend_sampling),timings_per_token!==
+void 0&&(requestBody.timings_per_token=timings_per_token),custom2)try{const customParams=typeof custom2=="string"?JSON.parse(custom2):custom2;Object.assign(requestBody,customParams)}catch(error2){console.warn("Failed to parse custom parameters:",error2)}try{const response=await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal});if(!response.ok){const error2=await ChatService.parseErrorResponse(response);throw onError&&onError(error2),error2}
+if(stream){await ChatService.handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,signal);return}else return ChatService.handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel)}catch(error2){if(isAbortError(error2)){console.log("Chat completion request was aborted");return}let userFriendlyError;throw error2 instanceof Error?error2.name==="TypeError"&&error2.message.includes("fetch")?(userFriendlyError=new Error(
+"Unable to connect to server - please check if the server is running"),userFriendlyError.name="NetworkError"):error2.message.includes("ECONNREFUSED")?(userFriendlyError=new Error("Connection refused - server may be offline"),userFriendlyError.name="NetworkError"):error2.message.includes("ETIMEDOUT")?(userFriendlyError=new Error("Request timed out - the server took too long to respond"),userFriendlyError.name="TimeoutError"):userFriendlyError=error2:userFriendlyError=new Error("Unknown error occu\
+rred while sending message"),console.error("Error in sendMessage:",error2),onError&&onError(userFriendlyError),userFriendlyError}}static async areAllSlotsIdle(model,signal){try{const url2=model?`./slots?model=${encodeURIComponent(model)}`:"./slots",res=await fetch(url2,{signal});return res.ok?(await res.json()).every(s2=>!s2.is_processing):!0}catch{return!0}}static async preEncode(messages,model,excludeReasoning,signal){const requestBody={messages:messages.map(msg=>"id"in msg&&"convId"in msg&&"t\
+imestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0).map(msg=>{const mapped={role:msg.role,content:excludeReasoning?ChatService.stripReasoningContent(msg.content):msg.content,tool_calls:msg.tool_calls,tool_call_id:msg.tool_call_id};return!excludeReasoning&&msg.reasoning_content&&(mapped.reasoning_content=msg.reasoning_content),mapped}),stream:!1,n_predict:0};model&&(requestBody.
+model=model);try{await fetch("./v1/chat/completions",{method:"POST",headers:getJsonHeaders(),body:JSON.stringify(requestBody),signal})}catch(error2){isAbortError(error2)||console.warn("[ChatService] Pre-encode request failed:",error2)}}static async handleStreamResponse(response,onChunk,onComplete,onError,onReasoningChunk,onToolCallChunk,onModel,onTimings,conversationId,abortSignal){const reader=response.body?.getReader();if(!reader)throw new Error("No response body");const decoder=new TextDecoder;
+let aggregatedContent="",fullReasoningContent="",aggregatedToolCalls=[],lastTimings,streamFinished=!1,modelEmitted=!1,toolCallIndexOffset=0,hasOpenToolCallBatch=!1;const finalizeOpenToolCallBatch=()=>{hasOpenToolCallBatch&&(toolCallIndexOffset=aggregatedToolCalls.length,hasOpenToolCallBatch=!1)},processToolCallDelta=toolCalls=>{if(!toolCalls||toolCalls.length===0||(aggregatedToolCalls=ChatService.mergeToolCallDeltas(aggregatedToolCalls,toolCalls,toolCallIndexOffset),aggregatedToolCalls.length===
+0))return;hasOpenToolCallBatch=!0;const serializedToolCalls=JSON.stringify(aggregatedToolCalls);serializedToolCalls&&(abortSignal?.aborted||onToolCallChunk?.(serializedToolCalls))};try{let chunk="";for(;!abortSignal?.aborted;){const{done,value}=await reader.read();if(done||abortSignal?.aborted)break;chunk+=decoder.decode(value,{stream:!0});const lines=chunk.split(`
+`);chunk=lines.pop()||"";for(const line of lines){if(abortSignal?.aborted)break;if(line.startsWith(UrlProtocol.DATA)){const data=line.slice(6);if(data==="[DONE]"){streamFinished=!0;continue}try{const parsed=JSON.parse(data),choice=parsed.choices?.[0],content2=choice?.delta?.content,reasoningContent=choice?.delta?.reasoning_content,toolCalls=choice?.delta?.tool_calls,timings=parsed.timings,promptProgress=parsed.prompt_progress,chunkModel=ChatService.extractModelName(parsed);chunkModel&&!modelEmitted&&
+(modelEmitted=!0,onModel?.(chunkModel)),promptProgress&&ChatService.notifyTimings(void 0,promptProgress,onTimings),timings&&(ChatService.notifyTimings(timings,promptProgress,onTimings),lastTimings=timings),content2&&(finalizeOpenToolCallBatch(),aggregatedContent+=content2,abortSignal?.aborted||onChunk?.(content2)),reasoningContent&&(finalizeOpenToolCallBatch(),fullReasoningContent+=reasoningContent,abortSignal?.aborted||onReasoningChunk?.(reasoningContent)),processToolCallDelta(toolCalls)}catch(e){
+console.error("Error parsing JSON chunk:",e)}}}if(abortSignal?.aborted)break}if(abortSignal?.aborted)return;if(streamFinished){finalizeOpenToolCallBatch();const finalToolCalls=aggregatedToolCalls.length>0?JSON.stringify(aggregatedToolCalls):void 0;onComplete?.(aggregatedContent,fullReasoningContent||void 0,lastTimings,finalToolCalls)}}catch(error2){const err=error2 instanceof Error?error2:new Error("Stream error");throw onError?.(err),err}finally{reader.releaseLock()}}static async handleNonStreamResponse(response,onComplete,onError,onToolCallChunk,onModel){
+try{const responseText=await response.text();if(!responseText.trim())throw new Error("No response received from server. Please try again.");const data=JSON.parse(responseText),responseModel=ChatService.extractModelName(data);responseModel&&onModel?.(responseModel);const content2=data.choices[0]?.message?.content||"",reasoningContent=data.choices[0]?.message?.reasoning_content,toolCalls=data.choices[0]?.message?.tool_calls;let serializedToolCalls;if(toolCalls&&toolCalls.length>0){const mergedToolCalls=ChatService.
+mergeToolCallDeltas([],toolCalls);mergedToolCalls.length>0&&(serializedToolCalls=JSON.stringify(mergedToolCalls),serializedToolCalls&&onToolCallChunk?.(serializedToolCalls))}if(!content2.trim()&&!serializedToolCalls)throw new Error("No response received from server. Please try again.");return onComplete?.(content2,reasoningContent,void 0,serializedToolCalls),content2}catch(error2){const err=error2 instanceof Error?error2:new Error("Parse error");throw onError?.(err),err}}static mergeToolCallDeltas(existing,deltas,indexOffset=0){
+const result=existing.map(call=>({...call,function:call.function?{...call.function}:void 0}));for(const delta of deltas){const index2=typeof delta.index=="number"&&delta.index>=0?delta.index+indexOffset:result.length;for(;result.length<=index2;)result.push({function:void 0});const target2=result[index2];if(delta.id&&(target2.id=delta.id),delta.type&&(target2.type=delta.type),delta.function){const fn=target2.function?{...target2.function}:{};delta.function.name&&(fn.name=delta.function.name),delta.
+function.arguments&&(fn.arguments=(fn.arguments??"")+delta.function.arguments),target2.function=fn}}return result}static convertDbMessageToApiChatMessageData(message){if(message.role===MessageRole.TOOL&&message.toolCallId)return{role:MessageRole.TOOL,content:message.content,tool_call_id:message.toolCallId};let toolCalls;if(message.toolCalls)try{toolCalls=JSON.parse(message.toolCalls)}catch{}if(!message.extra||message.extra.length===0){const result2={role:message.role,content:message.content};return message.
+reasoningContent&&(result2.reasoning_content=message.reasoningContent),toolCalls&&toolCalls.length>0&&(result2.tool_calls=toolCalls),result2}const contentParts=[];message.content&&contentParts.push({type:ContentPartType.TEXT,text:message.content});const imageFiles=message.extra.filter(extra=>extra.type===AttachmentType.IMAGE);for(const image2 of imageFiles)contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:image2.base64Url}});const textFiles=message.extra.filter(extra=>extra.type===
+AttachmentType.TEXT);for(const textFile of textFiles)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText("File",textFile.name,textFile.content)});const legacyContextFiles=message.extra.filter(extra=>extra.type===AttachmentType.LEGACY_CONTEXT);for(const legacyContextFile of legacyContextFiles)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText("File",legacyContextFile.name,legacyContextFile.content)});const audioFiles=message.extra.filter(extra=>extra.type===
+AttachmentType.AUDIO);for(const audio of audioFiles)contentParts.push({type:ContentPartType.INPUT_AUDIO,input_audio:{data:audio.base64Data,format:audio.mimeType.includes("wav")?"wav":"mp3"}});const pdfFiles=message.extra.filter(extra=>extra.type===AttachmentType.PDF);for(const pdfFile of pdfFiles)if(pdfFile.processedAsImages&&pdfFile.images)for(let i=0;i<pdfFile.images.length;i++)contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:pdfFile.images[i]}});else contentParts.push({type:ContentPartType.
+TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_PDF_FILE,pdfFile.name,pdfFile.content)});const mcpPrompts=message.extra.filter(extra=>extra.type===AttachmentType.MCP_PROMPT);for(const mcpPrompt of mcpPrompts)contentParts.push({type:ContentPartType.TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_MCP_PROMPT,mcpPrompt.name,mcpPrompt.content,mcpPrompt.serverName)});const mcpResources2=message.extra.filter(extra=>extra.type===AttachmentType.MCP_RESOURCE);for(const mcpResource of mcpResources2)contentParts.
+push({type:ContentPartType.TEXT,text:formatAttachmentText(ATTACHMENT_LABEL_MCP_RESOURCE,mcpResource.name,mcpResource.content,mcpResource.serverName)});const result={role:message.role,content:contentParts};return message.reasoningContent&&(result.reasoning_content=message.reasoningContent),toolCalls&&toolCalls.length>0&&(result.tool_calls=toolCalls),result}static stripReasoningContent(content2){const stripFromString=text2=>text2.replace(LEGACY_AGENTIC_REGEX.REASONING_BLOCK,"").trim();return typeof content2==
+"string"?stripFromString(content2):content2.map(part=>part.type===ContentPartType.TEXT&&part.text?{...part,text:stripFromString(part.text)}:part)}static async parseErrorResponse(response){try{const errorText=await response.text(),errorData=JSON.parse(errorText),message=errorData.error?.message||"Unknown server error",error2=new Error(message);return error2.name=response.status===400?"ServerError":"HttpError",errorData.error&&"n_prompt_tokens"in errorData.error&&"n_ctx"in errorData.error&&(error2.
+contextInfo={n_prompt_tokens:errorData.error.n_prompt_tokens,n_ctx:errorData.error.n_ctx}),error2}catch{const fallback2=new Error(`Server error (${response.status}): ${response.statusText}`);return fallback2.name="HttpError",fallback2}}static extractModelName(data){const asRecord=value=>typeof value=="object"&&value!==null?value:void 0,getTrimmedString=value=>typeof value=="string"&&value.trim()?value.trim():void 0,root2=asRecord(data);if(!root2)return;const rootModel=getTrimmedString(root2.model);
+if(rootModel)return rootModel;const firstChoice=Array.isArray(root2.choices)?asRecord(root2.choices[0]):void 0;if(!firstChoice)return;const deltaModel=getTrimmedString(asRecord(firstChoice.delta)?.model);if(deltaModel)return deltaModel;const messageModel=getTrimmedString(asRecord(firstChoice.message)?.model);if(messageModel)return messageModel}static notifyTimings(timings,promptProgress,onTimingsCallback){!onTimingsCallback||!timings&&!promptProgress||onTimingsCallback(timings,promptProgress)}}class ConversationsStore{#conversations=state$1(
+proxy([]));get conversations(){return get$3(this.#conversations)}set conversations(value){set$1(this.#conversations,value,!0)}#activeConversation=state$1(null);get activeConversation(){return get$3(this.#activeConversation)}set activeConversation(value){set$1(this.#activeConversation,value,!0)}#activeMessages=state$1(proxy([]));get activeMessages(){return get$3(this.#activeMessages)}set activeMessages(value){set$1(this.#activeMessages,value,!0)}#isInitialized=state$1(!1);get isInitialized(){return get$3(
+this.#isInitialized)}set isInitialized(value){set$1(this.#isInitialized,value,!0)}#pendingMcpServerOverrides=state$1(proxy(ConversationsStore.loadMcpDefaults()));get pendingMcpServerOverrides(){return get$3(this.#pendingMcpServerOverrides)}set pendingMcpServerOverrides(value){set$1(this.#pendingMcpServerOverrides,value,!0)}static loadMcpDefaults(){if(typeof globalThis.localStorage>"u")return[];try{const raw2=localStorage.getItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY);if(!raw2)return[];const parsed=JSON.
+parse(raw2);return Array.isArray(parsed)?parsed.filter(o=>typeof o=="object"&&o!==null&&"serverId"in o&&"enabled"in o):[]}catch{return[]}}saveMcpDefaults(){if(typeof globalThis.localStorage>"u")return;const plain=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));plain.length>0?localStorage.setItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY,JSON.stringify(plain)):localStorage.removeItem(MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY)}titleUpdateConfirmationCallback;messageUpdateCallback=null;async init(){
+if(!this.isInitialized)try{await runLegacyMigration(),await this.loadConversations(),this.isInitialized=!0}catch(error2){console.error("Failed to initialize conversations:",error2)}}async initialize(){return this.init()}registerMessageUpdateCallback(callback){this.messageUpdateCallback=callback}addMessageToActive(message){this.activeMessages.push(message)}updateMessageAtIndex(index2,updates){index2!==-1&&this.activeMessages[index2]&&(this.activeMessages[index2]={...this.activeMessages[index2],...updates})}findMessageIndex(messageId){
+return this.activeMessages.findIndex(m=>m.id===messageId)}sliceActiveMessages(startIndex){this.activeMessages=this.activeMessages.slice(0,startIndex)}removeMessageAtIndex(index2){if(index2!==-1)return this.activeMessages.splice(index2,1)[0]}setTitleUpdateConfirmationCallback(callback){this.titleUpdateConfirmationCallback=callback}async loadConversations(){const conversations2=await DatabaseService.getAllConversations();this.conversations=conversations2}async createConversation(name){const conversationName=name||
+`Chat ${new Date().toLocaleString()}`,conversation=await DatabaseService.createConversation(conversationName);if(this.pendingMcpServerOverrides.length>0){const plainOverrides=this.pendingMcpServerOverrides.map(o=>({serverId:o.serverId,enabled:o.enabled}));conversation.mcpServerOverrides=plainOverrides,await DatabaseService.updateConversation(conversation.id,{mcpServerOverrides:plainOverrides}),this.pendingMcpServerOverrides=[]}return this.conversations=[conversation,...this.conversations],this.activeConversation=
+conversation,this.activeMessages=[],await goto(`#/chat/${conversation.id}`),conversation.id}async loadConversation(convId){try{const conversation=await DatabaseService.getConversation(convId);if(!conversation)return!1;if(this.pendingMcpServerOverrides=[],this.activeConversation=conversation,conversation.currNode){const allMessages=await DatabaseService.getConversationMessages(convId),filteredMessages=filterByLeafNodeId(allMessages,conversation.currNode,!1);this.activeMessages=filteredMessages}else{
+const messages=await DatabaseService.getConversationMessages(convId);this.activeMessages=messages}return!0}catch(error2){return console.error("Failed to load conversation:",error2),!1}}clearActiveConversation(){this.activeConversation=null,this.activeMessages=[],this.pendingMcpServerOverrides=ConversationsStore.loadMcpDefaults()}async deleteConversation(convId,options){try{if(await DatabaseService.deleteConversation(convId,options),options?.deleteWithForks){const idsToRemove=new SvelteSet([convId]),
+queue=[convId];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of this.conversations)c2.forkedFromConversationId===parentId&&!idsToRemove.has(c2.id)&&(idsToRemove.add(c2.id),queue.push(c2.id))}this.conversations=this.conversations.filter(c2=>!idsToRemove.has(c2.id)),this.activeConversation&&idsToRemove.has(this.activeConversation.id)&&(this.clearActiveConversation(),await goto("?new_chat=true#/"))}else{const newParent=this.conversations.find(c2=>c2.id===convId)?.forkedFromConversationId;
+this.conversations=this.conversations.filter(c2=>c2.id!==convId).map(c2=>c2.forkedFromConversationId===convId?{...c2,forkedFromConversationId:newParent}:c2),this.activeConversation?.id===convId&&(this.clearActiveConversation(),await goto("?new_chat=true#/"))}}catch(error2){console.error("Failed to delete conversation:",error2)}}async deleteAll(){try{const allConversations=await DatabaseService.getAllConversations();for(const conv of allConversations)await DatabaseService.deleteConversation(conv.
+id);this.clearActiveConversation(),this.conversations=[],toast.success("All conversations deleted"),await goto("?new_chat=true#/")}catch(error2){console.error("Failed to delete all conversations:",error2),toast.error("Failed to delete conversations")}}async refreshActiveMessages(){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id);if(allMessages.length===0){this.activeMessages=[];return}const leafNodeId=this.activeConversation.
+currNode||allMessages.reduce((latest,msg)=>msg.timestamp>latest.timestamp?msg:latest).id,currentPath=filterByLeafNodeId(allMessages,leafNodeId,!1);this.activeMessages=currentPath}async getConversationMessages(convId){return await DatabaseService.getConversationMessages(convId)}async updateConversationName(convId,name){try{await DatabaseService.updateConversation(convId,{name});const convIndex=this.conversations.findIndex(c2=>c2.id===convId);convIndex!==-1&&(this.conversations[convIndex].name=name,
+this.conversations=[...this.conversations]),this.activeConversation?.id===convId&&(this.activeConversation={...this.activeConversation,name})}catch(error2){console.error("Failed to update conversation name:",error2)}}async updateConversationTitleWithConfirmation(convId,newTitle){try{if(config$1().askForTitleConfirmation&&this.titleUpdateConfirmationCallback){const conversation=await DatabaseService.getConversation(convId);if(!conversation||!await this.titleUpdateConfirmationCallback(conversation.
+name,newTitle))return!1}return await this.updateConversationName(convId,newTitle),!0}catch(error2){return console.error("Failed to update conversation title with confirmation:",error2),!1}}updateConversationTimestamp(){if(!this.activeConversation)return;const chatIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);if(chatIndex!==-1){this.conversations[chatIndex].lastModified=Date.now();const updatedConv=this.conversations.splice(chatIndex,1)[0];this.conversations=[updatedConv,
+...this.conversations]}}async updateCurrentNode(nodeId){this.activeConversation&&(await DatabaseService.updateCurrentNode(this.activeConversation.id,nodeId),this.activeConversation={...this.activeConversation,currNode:nodeId})}async navigateToSibling(siblingId){if(!this.activeConversation)return;const allMessages=await DatabaseService.getConversationMessages(this.activeConversation.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),currentFirstUserMessage=this.activeMessages.find(
+m=>m.role===MessageRole.USER&&m.parent===rootMessage?.id),currentLeafNodeId=findLeafNode(allMessages,siblingId);if(await DatabaseService.updateCurrentNode(this.activeConversation.id,currentLeafNodeId),this.activeConversation={...this.activeConversation,currNode:currentLeafNodeId},await this.refreshActiveMessages(),rootMessage&&this.activeMessages.length>0){const newFirstUserMessage=this.activeMessages.find(m=>m.role===MessageRole.USER&&m.parent===rootMessage.id);newFirstUserMessage&&newFirstUserMessage.
+content.trim()&&(!currentFirstUserMessage||newFirstUserMessage.id!==currentFirstUserMessage.id||newFirstUserMessage.content.trim()!==currentFirstUserMessage.content.trim())&&await this.updateConversationTitleWithConfirmation(this.activeConversation.id,generateConversationTitle(newFirstUserMessage.content,!!config$1().titleGenerationUseFirstLine))}}getMcpServerOverride(serverId){return this.activeConversation?this.activeConversation.mcpServerOverrides?.find(o=>o.serverId===serverId):this.pendingMcpServerOverrides.
+find(o=>o.serverId===serverId)}getAllMcpServerOverrides(){return this.activeConversation?.mcpServerOverrides?this.activeConversation.mcpServerOverrides:this.pendingMcpServerOverrides}isMcpServerEnabledForChat(serverId){return this.getMcpServerOverride(serverId)?.enabled??!1}async setMcpServerOverride(serverId,enabled){if(!this.activeConversation){this.setPendingMcpServerOverride(serverId,enabled);return}const currentOverrides=(this.activeConversation.mcpServerOverrides||[]).map(o=>({serverId:o.serverId,
+enabled:o.enabled}));let newOverrides;if(enabled===void 0)newOverrides=currentOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=currentOverrides.findIndex(o=>o.serverId===serverId);existingIndex>=0?(newOverrides=[...currentOverrides],newOverrides[existingIndex]={serverId,enabled}):newOverrides=[...currentOverrides,{serverId,enabled}]}await DatabaseService.updateConversation(this.activeConversation.id,{mcpServerOverrides:newOverrides.length>0?newOverrides:void 0}),this.activeConversation=
+{...this.activeConversation,mcpServerOverrides:newOverrides.length>0?newOverrides:void 0};const convIndex=this.conversations.findIndex(c2=>c2.id===this.activeConversation.id);convIndex!==-1&&(this.conversations[convIndex].mcpServerOverrides=newOverrides.length>0?newOverrides:void 0,this.conversations=[...this.conversations])}setPendingMcpServerOverride(serverId,enabled){if(enabled===void 0)this.pendingMcpServerOverrides=this.pendingMcpServerOverrides.filter(o=>o.serverId!==serverId);else{const existingIndex=this.
+pendingMcpServerOverrides.findIndex(o=>o.serverId===serverId);if(existingIndex>=0){const newOverrides=[...this.pendingMcpServerOverrides];newOverrides[existingIndex]={serverId,enabled},this.pendingMcpServerOverrides=newOverrides}else this.pendingMcpServerOverrides=[...this.pendingMcpServerOverrides,{serverId,enabled}]}this.saveMcpDefaults()}async toggleMcpServerForChat(serverId){const currentEnabled=this.isMcpServerEnabledForChat(serverId);await this.setMcpServerOverride(serverId,!currentEnabled)}async removeMcpServerOverride(serverId){
+await this.setMcpServerOverride(serverId,void 0)}clearPendingMcpServerOverrides(){this.pendingMcpServerOverrides=[],this.saveMcpDefaults()}async forkConversation(messageId,options){if(!this.activeConversation)return null;try{const newConv=await DatabaseService.forkConversation(this.activeConversation.id,messageId,options);return this.conversations=[newConv,...this.conversations],await goto(`#/chat/${newConv.id}`),toast.success("Conversation forked"),newConv.id}catch(error2){return console.error(
+"Failed to fork conversation:",error2),toast.error("Failed to fork conversation"),null}}generateConversationFilename(conversation,msgs){const sanitizedName=(conversation.name??"").trim().toLowerCase().replace(NON_ALPHANUMERIC_REGEX,EXPORT_CONV_NONALNUM_REPLACEMENT).replace(MULTIPLE_UNDERSCORE_REGEX,"_").substring(0,EXPORT_CONV_NAME_SUFFIX_MAX_LENGTH),formattedDate=(msgs?.length?new Date(Math.max(...msgs.map(m=>m.timestamp))):new Date).toISOString().slice(0,ISO_TIMESTAMP_SLICE_LENGTH).replace(ISO_DATE_TIME_SEPARATOR,
+ISO_DATE_TIME_SEPARATOR_REPLACEMENT).replaceAll(ISO_TIME_SEPARATOR,ISO_TIME_SEPARATOR_REPLACEMENT),trimmedConvId=conversation.id?.slice(0,EXPORT_CONV_ID_TRIM_LENGTH)??"";return`${formattedDate}_conv_${trimmedConvId}_${sanitizedName}.json`}downloadConversationFile(data,filename){const conversation="conv"in data?data.conv:Array.isArray(data)?data[0]?.conv:void 0,msgs="messages"in data?data.messages:Array.isArray(data)?data[0]?.messages:void 0;if(!conversation){console.error("Invalid data: missing \
+conversation");return}let downloadFilename;filename?downloadFilename=filename:Array.isArray(data)&&data.length>1?downloadFilename=`${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}_conversations.json`:downloadFilename=this.generateConversationFilename(conversation,msgs);const blob=new Blob([JSON.stringify(data,null,2)],{type:"application/json"}),url2=URL.createObjectURL(blob),a=document.createElement("a");a.href=url2,a.download=downloadFilename,document.body.appendChild(a),a.click(),
+document.body.removeChild(a),URL.revokeObjectURL(url2)}async downloadConversation(convId){let conversation,messages;if(this.activeConversation?.id===convId)conversation=this.activeConversation,messages=this.activeMessages;else{if(conversation=await DatabaseService.getConversation(convId),!conversation)return;messages=await DatabaseService.getConversationMessages(convId)}this.downloadConversationFile({conv:conversation,messages})}async importConversations(){return new Promise((resolve2,reject)=>{
+const input=document.createElement("input");input.type=HtmlInputType.FILE,input.accept=FileExtensionText.JSON,input.onchange=async e=>{const file=e.target?.files?.[0];if(!file){reject(new Error("No file selected"));return}try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;if(Array.isArray(parsedData))importedData=parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Inv\
+alid file format");const result=await DatabaseService.importConversations(importedData);toast.success(`Imported ${result.imported} conversation(s), skipped ${result.skipped}`),await this.loadConversations();const importedConversations=(Array.isArray(importedData)?importedData:[importedData]).map(item=>item.conv);resolve2(importedConversations)}catch(err){const message=err instanceof Error?err.message:"Unknown error";console.error("Failed to import conversations:",err),toast.error("Import failed",
+{description:message}),reject(new Error(`Import failed: ${message}`))}},input.click()})}async importConversationsData(data){const result=await DatabaseService.importConversations(data);return await this.loadConversations(),result}}const conversationsStore=new ConversationsStore;conversationsStore.init();const conversations=()=>conversationsStore.conversations,activeConversation=()=>conversationsStore.activeConversation,activeMessages=()=>conversationsStore.activeMessages,isConversationsInitialized=()=>conversationsStore.
+isInitialized;function buildConversationTree(convs){const childrenByParent=new SvelteMap,forkIds=new SvelteSet;for(const conv of convs)if(conv.forkedFromConversationId){forkIds.add(conv.id);const siblings2=childrenByParent.get(conv.forkedFromConversationId)||[];siblings2.push(conv),childrenByParent.set(conv.forkedFromConversationId,siblings2)}const result=[],visited=new SvelteSet;function walk(conv,depth){visited.add(conv.id),result.push({conversation:conv,depth});const children=childrenByParent.
+get(conv.id);if(children){children.sort((a,b)=>b.lastModified-a.lastModified);for(const child2 of children)walk(child2,depth+1)}}const roots=convs.filter(c2=>!forkIds.has(c2.id));for(const root2 of roots)walk(root2,0);for(const conv of convs)visited.has(conv.id)||walk(conv,1);return result}class ToolsService{static async list(){return apiFetch(API_TOOLS.LIST)}static async executeTool(toolName,params,signal){const result=await apiFetch(API_TOOLS.EXECUTE,{method:"POST",body:JSON.stringify({tool:toolName,
+params}),signal});return ToolResponseField.ERROR in result?{content:String(result[ToolResponseField.ERROR]),isError:!0}:ToolResponseField.PLAIN_TEXT in result?{content:String(result[ToolResponseField.PLAIN_TEXT]),isError:!1}:{content:JSON.stringify(result),isError:!1}}}class ToolsStore{#_builtinTools=state$1(proxy([]));get _builtinTools(){return get$3(this.#_builtinTools)}set _builtinTools(value){set$1(this.#_builtinTools,value,!0)}#_loading=state$1(!1);get _loading(){return get$3(this.#_loading)}set _loading(value){
+set$1(this.#_loading,value,!0)}#_error=state$1(null);get _error(){return get$3(this.#_error)}set _error(value){set$1(this.#_error,value,!0)}#_disabledTools=state$1(proxy(new SvelteSet));get _disabledTools(){return get$3(this.#_disabledTools)}set _disabledTools(value){set$1(this.#_disabledTools,value,!0)}#_toolsEndpointUnreachable=state$1(!1);get _toolsEndpointUnreachable(){return get$3(this.#_toolsEndpointUnreachable)}set _toolsEndpointUnreachable(value){set$1(this.#_toolsEndpointUnreachable,value,
+!0)}constructor(){try{const stored=localStorage.getItem(DISABLED_TOOLS_LOCALSTORAGE_KEY);if(stored){const parsed=JSON.parse(stored);if(Array.isArray(parsed))for(const name of parsed)typeof name=="string"&&this._disabledTools.add(name)}}catch(err){console.error("[ToolsStore] Failed to load disabled tools from localStorage:",err)}this.fetchBuiltinTools()}persistDisabledTools(){try{localStorage.setItem(DISABLED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._disabledTools]))}catch{}}get builtinTools(){
+return this._builtinTools}get mcpTools(){return mcpStore.getToolDefinitionsForLLM()}get customTools(){const raw2=config$1().custom;if(!raw2||typeof raw2!="string")return[];try{const parsed=JSON.parse(raw2);return Array.isArray(parsed)?parsed.filter(t=>typeof t=="object"&&t!==null&&"type"in t&&t.type==="function"&&"function"in t&&typeof t.function?.name=="string"):[]}catch{return[]}}get allTools(){const entries=[];for(const def of this._builtinTools)entries.push({source:ToolSource.BUILTIN,definition:def});
+const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){const serverName=mcpStore.getServerDisplayName(serverId);for(const tool of connection.tools){const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}})}}else for(const{serverId,serverName,
+tools}of this.getMcpToolsFromHealthChecks())for(const tool of tools)entries.push({source:ToolSource.MCP,serverName,serverId,definition:{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:{type:JsonSchemaType.OBJECT,properties:{},required:[]}}}});for(const def of this.customTools)entries.push({source:ToolSource.CUSTOM,definition:def});return entries}get toolGroups(){const groups=[];this._builtinTools.length>0&&groups.push({source:ToolSource.BUILTIN,label:TOOL_GROUP_LABELS[ToolSource.
+BUILTIN],tools:this._builtinTools});const connections=mcpStore.getConnections();if(connections.size>0)for(const[serverId,connection]of connections){if(connection.tools.length===0)continue;const label=mcpStore.getServerDisplayName(serverId),tools=connection.tools.map(tool=>{const rawSchema=tool.inputSchema??{type:JsonSchemaType.OBJECT,properties:{},required:[]};return{type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:rawSchema}}});groups.push({source:ToolSource.
+MCP,label,serverId,tools})}else for(const{serverId,serverName,tools}of this.getMcpToolsFromHealthChecks()){if(tools.length===0)continue;const defs=tools.map(tool=>({type:ToolCallType.FUNCTION,function:{name:tool.name,description:tool.description,parameters:{type:JsonSchemaType.OBJECT,properties:{},required:[]}}}));groups.push({source:ToolSource.MCP,label:serverName,serverId,tools:defs})}const custom2=this.customTools;return custom2.length>0&&groups.push({source:ToolSource.CUSTOM,label:TOOL_GROUP_LABELS[ToolSource.
+CUSTOM],tools:custom2}),groups}get enabledToolDefinitions(){return this.allTools.filter(t=>!this._disabledTools.has(t.definition.function.name)).map(t=>t.definition)}getEnabledToolsForLLM(){const disabled=this._disabledTools,result=[];for(const tool of this._builtinTools)disabled.has(tool.function.name)||result.push(tool);for(const tool of mcpStore.getToolDefinitionsForLLM())disabled.has(tool.function.name)||result.push(tool);for(const tool of this.customTools)disabled.has(tool.function.name)||result.
+push(tool);return result}get allToolDefinitions(){return this.allTools.map(t=>t.definition)}get loading(){return this._loading}get error(){return this._error}get isToolsEndpointUnreachable(){return this._toolsEndpointUnreachable}get disabledTools(){return this._disabledTools}isToolEnabled(toolName){return!this._disabledTools.has(toolName)}toggleTool(toolName){this._disabledTools.has(toolName)?this._disabledTools.delete(toolName):this._disabledTools.add(toolName),this.persistDisabledTools()}setToolEnabled(toolName,enabled){
+enabled?this._disabledTools.delete(toolName):this._disabledTools.add(toolName)}enableAllToolsForServer(serverId){const connection=mcpStore.getConnections().get(serverId);if(connection){for(const tool of connection.tools)this._disabledTools.delete(tool.name);this.persistDisabledTools()}}toggleGroup(group){const allEnabled=group.tools.every(t=>this.isToolEnabled(t.function.name));for(const tool of group.tools)this.setToolEnabled(tool.function.name,!allEnabled);this.persistDisabledTools()}isGroupFullyEnabled(group){
+return group.tools.length>0&&group.tools.every(t=>this.isToolEnabled(t.function.name))}isGroupPartiallyEnabled(group){const enabledCount=group.tools.filter(t=>this.isToolEnabled(t.function.name)).length;return enabledCount>0&&enabledCount<group.tools.length}getMcpToolsFromHealthChecks(){const result=[];for(const server of mcpStore.getServersSorted().filter(s2=>s2.enabled)){const health=mcpStore.getHealthCheckState(server.id);health.status===HealthCheckStatus.SUCCESS&&health.tools.length>0&&result.
+push({serverId:server.id,serverName:mcpStore.getServerLabel(server),tools:health.tools})}return result}getToolSource(toolName){if(this._builtinTools.some(t=>t.function.name===toolName))return ToolSource.BUILTIN;for(const entry of this.allTools)if(entry.definition.function.name===toolName)return entry.source;return null}getToolServerLabel(toolName){for(const entry of this.allTools)if(entry.definition.function.name===toolName){if(entry.serverName)return mcpStore.getServerDisplayName(entry.serverName);
+if(entry.source===ToolSource.BUILTIN)return TOOL_SERVER_LABELS[ToolSource.BUILTIN];if(entry.source===ToolSource.CUSTOM)return TOOL_SERVER_LABELS[ToolSource.CUSTOM]}return""}getPermissionKey(toolName){for(const entry of this.allTools)if(entry.definition.function.name===toolName)switch(entry.source){case ToolSource.BUILTIN:return`builtin:${toolName}`;case ToolSource.CUSTOM:return`custom:${toolName}`;case ToolSource.MCP:return entry.serverId?`mcp-${entry.serverId}:${toolName}`:`mcp:${toolName}`;default:
+return null}return null}get hasEnabledTools(){return this.getEnabledToolsForLLM().length>0}async fetchBuiltinTools(){if(!this._loading){this._loading=!0,this._error=null,this._toolsEndpointUnreachable=!1;try{const toolInfos=await ToolsService.list();this._builtinTools=toolInfos.map(info2=>info2.definition)}catch(err){const errorMessage=err instanceof Error?err.message:String(err);this._error=errorMessage,(errorMessage.includes("404")||errorMessage.toLowerCase().includes("not found"))&&(this._toolsEndpointUnreachable=
+!0),console.error("[ToolsStore] Failed to fetch built-in tools:",err)}finally{this._loading=!1}}}}const toolsStore=new ToolsStore;class PermissionsStore{#_tools=state$1(proxy(new SvelteSet));get _tools(){return get$3(this.#_tools)}set _tools(value){set$1(this.#_tools,value,!0)}constructor(){try{const stored=localStorage.getItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY);if(stored)for(const name of JSON.parse(stored))typeof name=="string"&&this._tools.add(name)}catch(err){console.error(`Failed to loa\
+d permissions from localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}get tools(){return this._tools}hasTool(key2){return this._tools.has(key2)}allowTool(key2){this._tools.add(key2),this._persist()}allowTools(keys2){for(const key2 of keys2)this._tools.add(key2);this._persist()}revokeTool(key2){this._tools.delete(key2),this._persist()}_persist(){try{localStorage.setItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY,JSON.stringify([...this._tools]))}catch(err){console.error(`Failed to persi\
+st to localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,err)}}}const permissionsStore=new PermissionsStore;function createDefaultSession(){return{isRunning:!1,currentTurn:0,totalToolCalls:0,lastError:null,streamingToolCall:null,pendingPermissionRequest:null}}function toAgenticMessages(messages){return messages.map(message=>message.role===MessageRole.ASSISTANT&&message.tool_calls&&message.tool_calls.length>0?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content,
+tool_calls:message.tool_calls.map((call,index2)=>({id:call.id??`call_${index2}`,type:call.type??ToolCallType.FUNCTION,function:{name:call.function?.name??"",arguments:call.function?.arguments??""}}))}:message.role===MessageRole.ASSISTANT?{role:MessageRole.ASSISTANT,content:message.content,reasoning_content:message.reasoning_content}:message.role===MessageRole.TOOL&&message.tool_call_id?{role:MessageRole.TOOL,tool_call_id:message.tool_call_id,content:typeof message.content=="string"?message.content:
+""}:{role:message.role,content:message.content})}class AgenticStore{_sessions=new SvelteMap;_pendingPermissions=new SvelteMap;_permissionResolvers=new Map;_pendingContinueRequests=new SvelteMap;_continueResolvers=new Map;_steeringMessages=new SvelteMap;get isReady(){return!0}get isAnyRunning(){for(const session of this._sessions.values())if(session.isRunning)return!0;return!1}getSession(conversationId){let session=this._sessions.get(conversationId);return session||(session=createDefaultSession(),
+this._sessions.set(conversationId,session)),session}updateSession(conversationId,update2){const session=this.getSession(conversationId);this._sessions.set(conversationId,{...session,...update2})}clearSession(conversationId){this._sessions.delete(conversationId)}getActiveSessions(){const active=[];for(const[conversationId,session]of this._sessions.entries())session.isRunning&&active.push({conversationId,session});return active}isRunning(conversationId){return this.getSession(conversationId).isRunning}currentTurn(conversationId){
+return this.getSession(conversationId).currentTurn}totalToolCalls(conversationId){return this.getSession(conversationId).totalToolCalls}lastError(conversationId){return this.getSession(conversationId).lastError}streamingToolCall(conversationId){return this.getSession(conversationId).streamingToolCall}pendingPermissionRequest(conversationId){return this._pendingPermissions.get(conversationId)??null}pendingContinueRequest(conversationId){return this._pendingContinueRequests.get(conversationId)??!1}resolveContinue(conversationId,shouldContinue){
+const resolver2=this._continueResolvers.get(conversationId);resolver2&&(this._continueResolvers.delete(conversationId),resolver2(shouldContinue))}resolvePermission(conversationId,decision){const resolver2=this._permissionResolvers.get(conversationId);resolver2&&(this._permissionResolvers.delete(conversationId),resolver2(decision))}clearError(conversationId){this.updateSession(conversationId,{lastError:null})}hasPendingSteeringMessage(conversationId){return this._steeringMessages.has(conversationId)}pendingSteeringMessageContent(conversationId){
+return this._steeringMessages.get(conversationId)?.content??null}pendingSteeringMessageExtras(conversationId){return this._steeringMessages.get(conversationId)?.extras}injectSteeringMessage(conversationId,content2,extras){this._steeringMessages.set(conversationId,{content:content2,extras})}clearSteeringMessage(conversationId){this._steeringMessages.delete(conversationId)}consumePendingSteeringMessage(conversationId){const msg=this._steeringMessages.get(conversationId);return msg?(this._steeringMessages.
+delete(conversationId),msg):null}getConfig(settings,perChatOverrides){const maxTurns=Number(settings.agenticMaxTurns)||DEFAULT_AGENTIC_CONFIG.maxTurns,maxToolPreviewLines=Number(settings.agenticMaxToolPreviewLines)||DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines;return{enabled:(mcpStore.hasEnabledServers(perChatOverrides)||toolsStore.builtinTools.length>0||toolsStore.customTools.length>0)&&DEFAULT_AGENTIC_CONFIG.enabled,maxTurns,maxToolPreviewLines}}parseToolArguments(args){if(typeof args=="object")
+return args;const trimmed=args.trim();return trimmed===""?{}:JSON.parse(trimmed)}async requestPermission(conversationId,toolName,serverLabel,signal){const permissionKey=toolsStore.getPermissionKey(toolName);return permissionKey&&permissionsStore.hasTool(permissionKey)?ToolPermissionDecision.ONCE:(this._pendingPermissions.set(conversationId,{toolName,serverLabel}),new Promise(resolve2=>{if(signal?.aborted){this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY);return}
+this._permissionResolvers.set(conversationId,decision=>{if(this._pendingPermissions.set(conversationId,null),decision===ToolPermissionDecision.ALWAYS&&permissionKey)permissionsStore.allowTool(permissionKey);else if(decision===ToolPermissionDecision.ALWAYS_SERVER){const serverToolKeys=toolsStore.allTools.filter(t=>t.serverName?t.serverName===serverLabel:toolsStore.getToolServerLabel(t.definition.function.name)===serverLabel).map(t=>toolsStore.getPermissionKey(t.definition.function.name)).filter(k=>k!==
+null);permissionsStore.allowTools(serverToolKeys)}resolve2(decision)}),signal?.addEventListener("abort",()=>{this._permissionResolvers.get(conversationId)&&(this._permissionResolvers.delete(conversationId),this._pendingPermissions.set(conversationId,null),resolve2(ToolPermissionDecision.DENY))},{once:!0})}))}async requestContinue(conversationId,signal){return this._pendingContinueRequests.set(conversationId,!0),new Promise(resolve2=>{if(signal?.aborted){this._pendingContinueRequests.set(conversationId,
+!1),resolve2(!1);return}this._continueResolvers.set(conversationId,shouldContinue=>{this._pendingContinueRequests.set(conversationId,!1),resolve2(shouldContinue)}),signal?.addEventListener("abort",()=>{this._continueResolvers.get(conversationId)&&(this._continueResolvers.delete(conversationId),this._pendingContinueRequests.set(conversationId,!1),resolve2(!1))},{once:!0})})}async runAgenticFlow(params){const{conversationId,messages,options={},callbacks,signal,perChatOverrides}=params;this._pendingPermissions.
+set(conversationId,null),this._permissionResolvers.delete(conversationId),this._pendingContinueRequests.set(conversationId,!1),this._continueResolvers.delete(conversationId),this._steeringMessages.delete(conversationId),toolsStore.builtinTools.length===0&&!toolsStore.loading&&await toolsStore.fetchBuiltinTools();const agenticConfig=this.getConfig(config$1(),perChatOverrides);if(!agenticConfig.enabled)return{handled:!1};const hasMcpServers=mcpStore.hasEnabledServers(perChatOverrides);hasMcpServers&&
+(await mcpStore.ensureInitialized(perChatOverrides)||console.log("[AgenticStore] MCP not initialized"));const tools=toolsStore.getEnabledToolsForLLM();if(tools.length===0)return console.log("[AgenticStore] No tools available, falling back to standard chat"),{handled:!1};console.log(`[AgenticStore] Starting agentic flow with ${tools.length} tools`);const normalizedMessages=messages.map(msg=>"id"in msg&&"convId"in msg&&"timestamp"in msg?ChatService.convertDbMessageToApiChatMessageData(msg):msg).filter(
+msg=>msg.role===MessageRole.SYSTEM?(typeof msg.content=="string"?msg.content:"").trim().length>0:!0);this.updateSession(conversationId,{isRunning:!0,currentTurn:0,totalToolCalls:0,lastError:null}),hasMcpServers&&mcpStore.acquireConnection();try{return await this.executeAgenticLoop({conversationId,messages:normalizedMessages,options,tools,agenticConfig,callbacks,signal}),{handled:!0}}catch(error2){const normalizedError=error2 instanceof Error?error2:new Error(String(error2));return this.updateSession(
+conversationId,{lastError:normalizedError}),callbacks.onError?.(normalizedError),{handled:!0,error:normalizedError}}finally{this.updateSession(conversationId,{isRunning:!1}),hasMcpServers&&await mcpStore.releaseConnection().catch(err=>console.warn("[AgenticStore] Failed to release MCP connection:",err))}}async executeAgenticLoop(params){const{conversationId,messages,options,tools,agenticConfig,callbacks,signal}=params,{onChunk,onReasoningChunk,onToolCallsStreaming,onAttachments,onModel,onAssistantTurnComplete,
+createToolResultMessage,createAssistantMessage,onFlowComplete,onTimings,onTurnComplete}=callbacks,sessionMessages=toAgenticMessages(messages);let capturedTimings,totalToolCallCount=0;const agenticTimings={turns:0,toolCallsCount:0,toolsMs:0,toolCalls:[],perTurn:[],llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0}},maxTurns=agenticConfig.maxTurns,effectiveModel=options.model||modelsStore.models[0]?.model||"";let turn=0;for(;;){if(turn>=maxTurns){const shouldContinue=await this.requestContinue(
+conversationId,signal);if(await new Promise(r2=>setTimeout(r2,0)),!shouldContinue||signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn=0}if(this.updateSession(conversationId,{currentTurn:turn+1}),agenticTimings.turns=turn+1,signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn>0&&createAssistantMessage&&await createAssistantMessage();let turnContent="",turnReasoningContent="",turnToolCalls=[],lastStreamingToolCallName="",
+lastStreamingToolCallArgsLength=0,turnTimings;const turnStats={turn:turn+1,llm:{predicted_n:0,predicted_ms:0,prompt_n:0,prompt_ms:0},toolCalls:[],toolsMs:0};try{await ChatService.sendMessage(sessionMessages,{...options,stream:!0,tools:tools.length>0?tools:void 0,onChunk:chunk=>{turnContent+=chunk,onChunk?.(chunk)},onReasoningChunk:chunk=>{turnReasoningContent+=chunk,onReasoningChunk?.(chunk)},onToolCallChunk:serialized=>{try{if(turnToolCalls=JSON.parse(serialized),onToolCallsStreaming?.(turnToolCalls),
+turnToolCalls.length>0&&turnToolCalls[0]?.function){const name=turnToolCalls[0].function.name||"",args=turnToolCalls[0].function.arguments||"",argsLengthBucket=Math.floor(args.length/100);(name!==lastStreamingToolCallName||argsLengthBucket!==lastStreamingToolCallArgsLength)&&(lastStreamingToolCallName=name,lastStreamingToolCallArgsLength=argsLengthBucket,this.updateSession(conversationId,{streamingToolCall:{name,arguments:args}}))}}catch{}},onModel,onTimings:(timings,progress)=>{onTimings?.(timings,
+progress),timings&&(capturedTimings=timings,turnTimings=timings)},onComplete:()=>{},onError:error2=>{throw error2}},void 0,signal),this.updateSession(conversationId,{streamingToolCall:null}),turnTimings&&(agenticTimings.llm.predicted_n+=turnTimings.predicted_n||0,agenticTimings.llm.predicted_ms+=turnTimings.predicted_ms||0,agenticTimings.llm.prompt_n+=turnTimings.prompt_n||0,agenticTimings.llm.prompt_ms+=turnTimings.prompt_ms||0,turnStats.llm.predicted_n=turnTimings.predicted_n||0,turnStats.llm.
+predicted_ms=turnTimings.predicted_ms||0,turnStats.llm.prompt_n=turnTimings.prompt_n||0,turnStats.llm.prompt_ms=turnTimings.prompt_ms||0)}catch(error2){if(signal?.aborted){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const normalizedError=error2 instanceof Error?error2:new Error("LLM stream error");throw onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.
+message}${LLM_ERROR_BLOCK_END}`),await onAssistantTurnComplete?.(turnContent+`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings)),normalizedError}if(this._steeringMessages.has(conversationId)){console.log("[AgenticStore] Steering message detected after turn, exiting agentic flow"),await onAssistantTurnComplete?.(
+turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),turnToolCalls.length>0?this.normalizeToolCalls(turnToolCalls):void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}if(turnToolCalls.length===0){agenticTimings.perTurn.push(turnStats);const finalTimings=this.buildFinalTimings(capturedTimings,agenticTimings);await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,finalTimings,void 0),finalTimings&&onTurnComplete?.(
+finalTimings),onFlowComplete?.(finalTimings);return}const normalizedCalls=this.normalizeToolCalls(turnToolCalls);if(normalizedCalls.length===0){await onAssistantTurnComplete?.(turnContent,turnReasoningContent||void 0,this.buildFinalTimings(capturedTimings,agenticTimings),void 0),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}totalToolCallCount+=normalizedCalls.length,this.updateSession(conversationId,{totalToolCalls:totalToolCallCount}),await onAssistantTurnComplete?.(
+turnContent,turnReasoningContent||void 0,turnTimings,normalizedCalls),sessionMessages.push({role:MessageRole.ASSISTANT,content:turnContent||void 0,reasoning_content:turnReasoningContent||void 0,tool_calls:normalizedCalls});for(let i=0;i<normalizedCalls.length;i++){const toolCall=normalizedCalls[i];if(signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}if(this._steeringMessages.has(conversationId)){console.log(`[AgenticStore] Steering message detected,\
+ skipping ${normalizedCalls.length-i} remaining tool call(s)`);for(let j=i;j<normalizedCalls.length;j++){const remainingCall=normalizedCalls[j],interruptedContent="Tool execution was interrupted by a new user message.";createToolResultMessage&&await createToolResultMessage(remainingCall.id,interruptedContent),sessionMessages.push({role:MessageRole.TOOL,tool_call_id:remainingCall.id,content:interruptedContent})}break}const toolName=toolCall.function.name,serverLabel=toolsStore.getToolServerLabel(
+toolName),permission=await this.requestPermission(conversationId,toolName,serverLabel,signal);if(await new Promise(r2=>setTimeout(r2,0)),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}const toolStartTime=performance.now(),toolSource=toolsStore.getToolSource(toolName);let result,toolSuccess=!0;if(permission===ToolPermissionDecision.DENY)result="Tool execution was denied by the user.",toolSuccess=!1;else try{if(toolSource===ToolSource.BUILTIN){const args=this.
+parseToolArguments(toolCall.function.arguments),executionResult=await ToolsService.executeTool(toolName,args,signal);result=executionResult.content,executionResult.isError&&(toolSuccess=!1)}else{const mcpCall={id:toolCall.id,function:{name:toolName,arguments:toolCall.function.arguments}};result=(await mcpStore.executeTool(mcpCall,signal)).content}}catch(error2){if(isAbortError(error2)){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}result=`Error: ${error2 instanceof
+Error?error2.message:String(error2)}`,toolSuccess=!1}const toolDurationMs=performance.now()-toolStartTime,toolTiming={name:toolCall.function.name,duration_ms:Math.round(toolDurationMs),success:toolSuccess};if(agenticTimings.toolCalls.push(toolTiming),agenticTimings.toolCallsCount++,agenticTimings.toolsMs+=Math.round(toolDurationMs),turnStats.toolCalls.push(toolTiming),turnStats.toolsMs+=Math.round(toolDurationMs),signal?.aborted){onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));
+return}const{cleanedResult,attachments}=this.extractBase64Attachments(result);let toolResultMessage;createToolResultMessage&&(toolResultMessage=await createToolResultMessage(toolCall.id,cleanedResult,attachments.length>0?attachments:void 0)),attachments.length>0&&toolResultMessage&&onAttachments?.(toolResultMessage.id,attachments);const contentParts=[{type:ContentPartType.TEXT,text:cleanedResult}];for(const attachment of attachments)attachment.type===AttachmentType.IMAGE&&(modelsStore.modelSupportsVision(
+effectiveModel)?contentParts.push({type:ContentPartType.IMAGE_URL,image_url:{url:attachment.base64Url}}):console.info(`[AgenticStore] Skipping image attachment (model "${effectiveModel}" does not support vision)`));sessionMessages.push({role:MessageRole.TOOL,tool_call_id:toolCall.id,content:contentParts.length===1?cleanedResult:contentParts})}if(turnStats.toolCalls.length>0){agenticTimings.perTurn.push(turnStats);const intermediateTimings=this.buildFinalTimings(capturedTimings,agenticTimings);intermediateTimings&&
+onTurnComplete?.(intermediateTimings)}if(this._steeringMessages.has(conversationId)){console.log("[AgenticStore] Steering message detected after tool execution, exiting agentic flow"),onFlowComplete?.(this.buildFinalTimings(capturedTimings,agenticTimings));return}turn++}}buildFinalTimings(capturedTimings,agenticTimings){return agenticTimings.toolCallsCount===0?capturedTimings:{predicted_n:capturedTimings?.predicted_n,predicted_ms:capturedTimings?.predicted_ms,prompt_n:capturedTimings?.prompt_n,prompt_ms:capturedTimings?.
+prompt_ms,cache_n:capturedTimings?.cache_n,agentic:agenticTimings}}normalizeToolCalls(toolCalls){return toolCalls?toolCalls.map((call,index2)=>({id:call?.id??`tool_${index2}`,type:call?.type??ToolCallType.FUNCTION,function:{name:call?.function?.name??"",arguments:call?.function?.arguments??""}})):[]}extractBase64Attachments(result){if(!result.trim())return{cleanedResult:result,attachments:[]};const lines=result.split(NEWLINE_SEPARATOR),attachments=[];let attachmentIndex=0;return{cleanedResult:lines.
+map(line=>{const trimmedLine=line.trim(),match=trimmedLine.match(DATA_URI_BASE64_REGEX);if(!match)return line;const mimeType=match[1].toLowerCase();if(!match[2])return line;attachmentIndex+=1;const name=this.buildAttachmentName(mimeType,attachmentIndex);return mimeType.startsWith(MimeTypePrefix.IMAGE)?(attachments.push({type:AttachmentType.IMAGE,name,base64Url:trimmedLine}),`[Attachment saved: ${name}]`):line}).join(NEWLINE_SEPARATOR),attachments}}buildAttachmentName(mimeType,index2){const extension2=IMAGE_MIME_TO_EXTENSION[mimeType]??
+DEFAULT_IMAGE_EXTENSION;return`${MCP_ATTACHMENT_NAME_PREFIX}-${Date.now()}-${index2}.${extension2}`}}const agenticStore=new AgenticStore;function agenticPendingPermissionRequest(conversationId){return agenticStore.pendingPermissionRequest(conversationId)}function agenticResolvePermission(conversationId,decision){agenticStore.resolvePermission(conversationId,decision)}function agenticPendingContinueRequest(conversationId){return agenticStore.pendingContinueRequest(conversationId)}function agenticResolveContinue(conversationId,shouldContinue){
+agenticStore.resolveContinue(conversationId,shouldContinue)}function agenticInjectSteeringMessage(conversationId,content2,extras){agenticStore.injectSteeringMessage(conversationId,content2,extras)}function agenticPendingSteeringMessageContent(conversationId){return agenticStore.pendingSteeringMessageContent(conversationId)}function agenticPendingSteeringMessageExtras(conversationId){return agenticStore.pendingSteeringMessageExtras(conversationId)}function agenticClearSteeringMessage(conversationId){
+agenticStore.clearSteeringMessage(conversationId)}class ChatStore{#activeProcessingState=state$1(null);get activeProcessingState(){return get$3(this.#activeProcessingState)}set activeProcessingState(value){set$1(this.#activeProcessingState,value,!0)}#currentResponse=state$1("");get currentResponse(){return get$3(this.#currentResponse)}set currentResponse(value){set$1(this.#currentResponse,value,!0)}#errorDialogState=state$1(null);get errorDialogState(){return get$3(this.#errorDialogState)}set errorDialogState(value){
+set$1(this.#errorDialogState,value,!0)}#isLoading=state$1(!1);get isLoading(){return get$3(this.#isLoading)}set isLoading(value){set$1(this.#isLoading,value,!0)}chatLoadingStates=new SvelteMap;chatStreamingStates=new SvelteMap;abortControllers=new SvelteMap;preEncodeAbortController=null;processingStates=new SvelteMap;conversationStateTimestamps=new SvelteMap;#activeConversationId=state$1(null);get activeConversationId(){return get$3(this.#activeConversationId)}set activeConversationId(value){set$1(
+this.#activeConversationId,value,!0)}#isStreamingActive=state$1(!1);get isStreamingActive(){return get$3(this.#isStreamingActive)}set isStreamingActive(value){set$1(this.#isStreamingActive,value,!0)}#isEditModeActive=state$1(!1);get isEditModeActive(){return get$3(this.#isEditModeActive)}set isEditModeActive(value){set$1(this.#isEditModeActive,value,!0)}#addFilesHandler=state$1(null);get addFilesHandler(){return get$3(this.#addFilesHandler)}set addFilesHandler(value){set$1(this.#addFilesHandler,
+value,!0)}#pendingEditMessageId=state$1(null);get pendingEditMessageId(){return get$3(this.#pendingEditMessageId)}set pendingEditMessageId(value){set$1(this.#pendingEditMessageId,value,!0)}messageUpdateCallback=null;#_pendingDraftMessage=state$1("");get _pendingDraftMessage(){return get$3(this.#_pendingDraftMessage)}set _pendingDraftMessage(value){set$1(this.#_pendingDraftMessage,value,!0)}#_pendingDraftFiles=state$1(proxy([]));get _pendingDraftFiles(){return get$3(this.#_pendingDraftFiles)}set _pendingDraftFiles(value){
+set$1(this.#_pendingDraftFiles,value,!0)}_pendingMessages=new SvelteMap;setChatLoading(convId,loading){this.touchConversationState(convId),loading?(this.chatLoadingStates.set(convId,!0),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!0)):(this.chatLoadingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.isLoading=!1))}setChatStreaming(convId,response,messageId){this.touchConversationState(convId),this.chatStreamingStates.set(convId,{response,messageId}),
+convId===conversationsStore.activeConversation?.id&&(this.currentResponse=response)}clearChatStreaming(convId){this.chatStreamingStates.delete(convId),convId===conversationsStore.activeConversation?.id&&(this.currentResponse="")}getChatStreaming(convId){return this.chatStreamingStates.get(convId)}syncLoadingStateForChat(convId){this.isLoading=this.chatLoadingStates.get(convId)||!1;const s2=this.chatStreamingStates.get(convId);if(this.currentResponse=s2?.response||"",this.isStreamingActive=s2!==void 0,
+this.setActiveProcessingConversation(convId),s2?.response&&s2?.messageId){const idx=conversationsStore.findMessageIndex(s2.messageId);idx!==-1&&conversationsStore.updateMessageAtIndex(idx,{content:s2.response})}}clearUIState(){this.isLoading=!1,this.currentResponse="",this.isStreamingActive=!1}setActiveProcessingConversation(conversationId){this.activeConversationId=conversationId,this.activeProcessingState=conversationId&&this.processingStates.get(conversationId)||null}getProcessingState(conversationId){
+return this.processingStates.get(conversationId)||null}setProcessingState(conversationId,state2){state2===null?this.processingStates.delete(conversationId):this.processingStates.set(conversationId,state2),conversationId===this.activeConversationId&&(this.activeProcessingState=state2)}clearProcessingState(conversationId){this.processingStates.delete(conversationId),conversationId===this.activeConversationId&&(this.activeProcessingState=null)}getActiveProcessingState(){return this.activeProcessingState}getCurrentProcessingStateSync(){
+return this.activeProcessingState}setStreamingActive(active){this.isStreamingActive=active}isStreaming(){return this.isStreamingActive}getOrCreateAbortController(convId){let c2=this.abortControllers.get(convId);return(!c2||c2.signal.aborted)&&(c2=new AbortController,this.abortControllers.set(convId,c2)),c2}abortRequest(convId){if(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}else{for(const c2 of this.abortControllers.values())c2.abort();
+this.abortControllers.clear()}}abortCurrentFlow(convId){const c2=this.abortControllers.get(convId);c2&&(c2.abort(),this.abortControllers.delete(convId))}showErrorDialog(state2){this.errorDialogState=state2}dismissErrorDialog(){this.errorDialogState=null}clearEditMode(){this.isEditModeActive=!1,this.addFilesHandler=null}isEditing(){return this.isEditModeActive}setEditModeActive(handler){this.isEditModeActive=!0,this.addFilesHandler=handler}getAddFilesHandler(){return this.addFilesHandler}clearPendingEditMessageId(){
+this.pendingEditMessageId=null}savePendingDraft(message,files){this._pendingDraftMessage=message,this._pendingDraftFiles=[...files]}consumePendingDraft(){if(!this._pendingDraftMessage&&this._pendingDraftFiles.length===0)return null;const d2={message:this._pendingDraftMessage,files:[...this._pendingDraftFiles]};return this._pendingDraftMessage="",this._pendingDraftFiles=[],d2}hasPendingDraft(){return!!this._pendingDraftMessage||this._pendingDraftFiles.length>0}getAllLoadingChats(){return Array.from(
+this.chatLoadingStates.keys())}getAllStreamingChats(){return Array.from(this.chatStreamingStates.keys())}getChatStreamingPublic(convId){return this.getChatStreaming(convId)}isChatLoadingPublic(convId){return this.chatLoadingStates.get(convId)||!1}isChatLoadingInternal(convId){return this.chatStreamingStates.has(convId)}hasPendingMessage(convId){return this._pendingMessages.has(convId)}pendingMessageContent(convId){return this._pendingMessages.get(convId)?.content??null}pendingMessageExtras(convId){
+return this._pendingMessages.get(convId)?.extras}injectPendingMessage(convId,content2,extras){this._pendingMessages.set(convId,{content:content2,extras})}clearPendingMessage(convId){this._pendingMessages.delete(convId)}consumePendingMessage(convId){const msg=this._pendingMessages.get(convId);return msg?(this._pendingMessages.delete(convId),msg):null}touchConversationState(convId){this.conversationStateTimestamps.set(convId,{lastAccessed:Date.now()})}cleanupOldConversationStates(activeConversationIds){
+const now2=Date.now(),activeIdsList=activeConversationIds??[],preserveIds=this.activeConversationId?[...activeIdsList,this.activeConversationId]:activeIdsList,allConvIds=[...new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys(),...this.conversationStateTimestamps.keys()])],cleanupCandidates=[];for(const convId of allConvIds){if(preserveIds.includes(convId)||this.chatLoadingStates.get(convId)||this.chatStreamingStates.
+has(convId))continue;const ts=this.conversationStateTimestamps.get(convId);cleanupCandidates.push({convId,lastAccessed:ts?.lastAccessed??0})}cleanupCandidates.sort((a,b)=>a.lastAccessed-b.lastAccessed);let cleanedUp=0;for(const{convId,lastAccessed}of cleanupCandidates)(cleanupCandidates.length-cleanedUp>MAX_INACTIVE_CONVERSATION_STATES||now2-lastAccessed>INACTIVE_CONVERSATION_STATE_MAX_AGE_MS)&&(this.cleanupConversationState(convId),cleanedUp++);return cleanedUp}cleanupConversationState(convId){
+const c2=this.abortControllers.get(convId);c2&&!c2.signal.aborted&&c2.abort(),this.chatLoadingStates.delete(convId),this.chatStreamingStates.delete(convId),this.abortControllers.delete(convId),this.processingStates.delete(convId),this.conversationStateTimestamps.delete(convId)}getTrackedConversationCount(){return new Set([...this.chatLoadingStates.keys(),...this.chatStreamingStates.keys(),...this.abortControllers.keys(),...this.processingStates.keys()]).size}getMessageByIdWithRole(messageId,expectedRole){
+const index2=conversationsStore.findMessageIndex(messageId);if(index2===-1)return null;const message=conversationsStore.activeMessages[index2];return expectedRole&&message.role!==expectedRole?null:{message,index:index2}}async addMessage(role,content2,type2=MessageType.TEXT,parent="-1",extras){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");let parentId=null;if(parent==="-1"){const am=conversationsStore.activeMessages;if(am.length>0)
+parentId=am[am.length-1].id;else{const r2=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.parent===null&&m.type==="root");parentId=r2?r2.id:await DatabaseService.createRootMessage(activeConv.id)}}else parentId=parent;const message=await DatabaseService.createMessageBranch({convId:activeConv.id,role,content:content2,type:type2,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},parentId);return conversationsStore.addMessageToActive(message),await conversationsStore.
+updateCurrentNode(message.id),conversationsStore.updateConversationTimestamp(),message}async addSystemPrompt(){let activeConv=conversationsStore.activeConversation;if(activeConv||(await conversationsStore.createConversation(),activeConv=conversationsStore.activeConversation),!!activeConv)try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),rootId=rootMessage?rootMessage.id:await DatabaseService.createRootMessage(
+activeConv.id),existingSystemMessage=allMessages.find(m=>m.role===MessageRole.SYSTEM&&m.parent===rootId);if(existingSystemMessage){this.pendingEditMessageId=existingSystemMessage.id,conversationsStore.activeMessages.some(m=>m.id===existingSystemMessage.id)||conversationsStore.activeMessages.unshift(existingSystemMessage);return}const firstActiveMessage=conversationsStore.activeMessages.find(m=>m.parent===rootId),systemMessage=await DatabaseService.createSystemMessage(activeConv.id,SYSTEM_MESSAGE_PLACEHOLDER,
+rootId);if(firstActiveMessage){await DatabaseService.updateMessage(firstActiveMessage.id,{parent:systemMessage.id}),await DatabaseService.updateMessage(systemMessage.id,{children:[firstActiveMessage.id]});const updatedRootChildren=rootMessage?rootMessage.children.filter(id2=>id2!==firstActiveMessage.id):[];await DatabaseService.updateMessage(rootId,{children:[...updatedRootChildren.filter(id2=>id2!==systemMessage.id),systemMessage.id]});const firstMsgIndex=conversationsStore.findMessageIndex(firstActiveMessage.
+id);firstMsgIndex!==-1&&conversationsStore.updateMessageAtIndex(firstMsgIndex,{parent:systemMessage.id})}conversationsStore.activeMessages.unshift(systemMessage),this.pendingEditMessageId=systemMessage.id,conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to add system prompt:",error2)}}async removeSystemPromptPlaceholder(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return!1;try{const allMessages=await conversationsStore.getConversationMessages(
+activeConv.id),systemMessage=findMessageById(allMessages,messageId);if(!systemMessage||systemMessage.role!==MessageRole.SYSTEM)return!1;const rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null);if(!rootMessage)return!1;if(allMessages.length===2&&systemMessage.children.length===0)return await conversationsStore.deleteConversation(activeConv.id),!0;for(const childId of systemMessage.children){await DatabaseService.updateMessage(childId,{parent:rootMessage.id});const childIndex=conversationsStore.
+findMessageIndex(childId);childIndex!==-1&&conversationsStore.updateMessageAtIndex(childIndex,{parent:rootMessage.id})}await DatabaseService.updateMessage(rootMessage.id,{children:[...rootMessage.children.filter(id2=>id2!==messageId),...systemMessage.children]}),await DatabaseService.deleteMessage(messageId);const systemIndex=conversationsStore.findMessageIndex(messageId);return systemIndex!==-1&&conversationsStore.activeMessages.splice(systemIndex,1),conversationsStore.updateConversationTimestamp(),
+!1}catch(error2){return console.error("Failed to remove system prompt placeholder:",error2),!1}}async createAssistantMessage(parentId){const activeConv=conversationsStore.activeConversation;if(!activeConv)throw new Error("No active conversation");return await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:null},parentId||null)}async sendMessage(content2,extras){if(!content2.
+trim()&&(!extras||extras.length===0))return;const activeConv=conversationsStore.activeConversation;if(activeConv&&agenticStore.isRunning(activeConv.id)){agenticStore.injectSteeringMessage(activeConv.id,content2,extras);return}if(activeConv&&this.isChatLoadingInternal(activeConv.id)){this.injectPendingMessage(activeConv.id,content2,extras);return}this.cancelPreEncode();const resourceExtras=mcpStore.consumeResourceAttachmentsAsExtras(),allExtras=resourceExtras.length>0?[...extras||[],...resourceExtras]:
+extras;let isNewConversation=!1;activeConv||(await conversationsStore.createConversation(),isNewConversation=!0);const currentConv=conversationsStore.activeConversation;if(currentConv){this.showErrorDialog(null),this.setChatLoading(currentConv.id,!0),this.clearChatStreaming(currentConv.id);try{let parentIdForUserMessage;if(isNewConversation){const rootId=await DatabaseService.createRootMessage(currentConv.id),systemPrompt=config$1().systemMessage?.toString().trim();if(systemPrompt){const systemMessage=await DatabaseService.
+createSystemMessage(currentConv.id,systemPrompt,rootId);conversationsStore.addMessageToActive(systemMessage),parentIdForUserMessage=systemMessage.id}else parentIdForUserMessage=rootId}const userMessage=await this.addMessage(MessageRole.USER,content2,MessageType.TEXT,parentIdForUserMessage??"-1",allExtras);isNewConversation&&content2&&await conversationsStore.updateConversationName(currentConv.id,generateConversationTitle(content2,!!config$1().titleGenerationUseFirstLine));const assistantMessage=await this.
+createAssistantMessage(userMessage.id);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){if(isAbortError(error2)){this.setChatLoading(currentConv.id,!1);return}console.error("Failed to send message:",error2),this.setChatLoading(currentConv.id,!1);const dialogType=error2 instanceof Error&&error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,contextInfo=error2.
+contextInfo;this.showErrorDialog({type:dialogType,message:error2 instanceof Error?error2.message:"Unknown error",contextInfo})}}}async streamChatCompletion(allMessages,assistantMessage,onComplete,onError,modelOverride){let effectiveModel=modelOverride;if(isRouterMode()&&!effectiveModel){const conversationModel=this.getConversationModel(allMessages);effectiveModel=selectedModelName()||conversationModel}isRouterMode()&&effectiveModel&&(modelsStore.getModelProps(effectiveModel)||await modelsStore.fetchModelProps(
+effectiveModel));let currentMessageId=assistantMessage.id,streamedContent="",streamedReasoningContent="",resolvedModel=null,modelPersisted=!1;const convId=assistantMessage.convId,recordModel=(modelName,persistImmediately=!0)=>{if(!modelName)return;const n=normalizeModelName(modelName);if(!n||n===resolvedModel)return;resolvedModel=n;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{model:n}),persistImmediately&&!modelPersisted&&(modelPersisted=
+!0,DatabaseService.updateMessage(currentMessageId,{model:n}).catch(()=>{modelPersisted=!1,resolvedModel=null}))},updateStreamingUI=()=>{this.setChatStreaming(convId,streamedContent,currentMessageId);const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{content:streamedContent})},cleanupStreamingState=()=>{this.setStreamingActive(!1),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null)};this.setStreamingActive(
+!0),this.setActiveProcessingConversation(convId);const abortController=this.getOrCreateAbortController(convId),streamCallbacks={onChunk:chunk=>{streamedContent+=chunk,updateStreamingUI()},onReasoningChunk:chunk=>{streamedReasoningContent+=chunk;const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.updateMessageAtIndex(idx,{reasoningContent:streamedReasoningContent})},onToolCallsStreaming:toolCalls=>{const idx=conversationsStore.findMessageIndex(currentMessageId);conversationsStore.
+updateMessageAtIndex(idx,{toolCalls:JSON.stringify(toolCalls)})},onAttachments:(messageId,extras)=>{if(!extras.length)return;const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const updatedExtras=[...conversationsStore.activeMessages[idx].extra||[],...extras];conversationsStore.updateMessageAtIndex(idx,{extra:updatedExtras}),DatabaseService.updateMessage(messageId,{extra:updatedExtras}).catch(console.error)},onModel:modelName=>recordModel(modelName),onTurnComplete:intermediateTimings=>{
+const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:intermediateTimings})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},
+convId)},onAssistantTurnComplete:async(content2,reasoningContent,timings,toolCalls)=>{const updateData={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?JSON.stringify(toolCalls):"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoningContent||void 0,toolCalls:toolCalls?
+JSON.stringify(toolCalls):""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId)},createToolResultMessage:async(toolCallId,content2,extras)=>{const msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.TOOL,content:content2,toolCallId,timestamp:Date.now(),toolCalls:"",children:[],extra:extras},currentMessageId);return conversationsStore.
+addMessageToActive(msg),await conversationsStore.updateCurrentNode(msg.id),msg},createAssistantMessage:async()=>{streamedContent="",streamedReasoningContent="";const lastMsg=conversationsStore.activeMessages[conversationsStore.activeMessages.length-1],msg=await DatabaseService.createMessageBranch({convId,type:MessageType.TEXT,role:MessageRole.ASSISTANT,content:"",timestamp:Date.now(),toolCalls:"",children:[],model:resolvedModel},lastMsg.id);return conversationsStore.addMessageToActive(msg),currentMessageId=
+msg.id,msg},onFlowComplete:finalTimings=>{if(finalTimings){const idx=conversationsStore.findMessageIndex(assistantMessage.id);conversationsStore.updateMessageAtIndex(idx,{timings:finalTimings}),DatabaseService.updateMessage(assistantMessage.id,{timings:finalTimings}).catch(console.error)}cleanupStreamingState(),onComplete&&onComplete(streamedContent),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error),config$1().preEncodeConversation&&this.triggerPreEncode(allMessages,assistantMessage,
+streamedContent,effectiveModel,!!config$1().excludeReasoningFromContext)},onError:error2=>{if(this.setStreamingActive(!1),isAbortError(error2)){cleanupStreamingState();const pending=this.consumePendingMessage(convId);pending&&this.sendMessage(pending.content,pending.extras);return}console.error("Streaming error:",error2),cleanupStreamingState(),this.clearPendingMessage(convId);const idx=conversationsStore.findMessageIndex(assistantMessage.id);if(idx!==-1){const failedMessage=conversationsStore.removeMessageAtIndex(
+idx);failedMessage&&DatabaseService.deleteMessage(failedMessage.id).catch(console.error)}const contextInfo=error2.contextInfo;this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message,contextInfo}),onError&&onError(error2)}},perChatOverrides=conversationsStore.activeConversation?.mcpServerOverrides;if((await agenticStore.runAgenticFlow({conversationId:convId,messages:allMessages,options:{...this.getApiOptions(),...effectiveModel?
+{model:effectiveModel}:{}},callbacks:streamCallbacks,signal:abortController.signal,perChatOverrides})).handled){const pending=agenticStore.consumePendingSteeringMessage(convId);pending&&await this.sendMessage(pending.content,pending.extras);return}await ChatService.sendMessage(allMessages,{...this.getApiOptions(),...effectiveModel?{model:effectiveModel}:{},stream:!0,onChunk:streamCallbacks.onChunk,onReasoningChunk:streamCallbacks.onReasoningChunk,onModel:streamCallbacks.onModel,onTimings:streamCallbacks.
+onTimings,onComplete:async(finalContent,reasoningContent,timings,toolCalls)=>{const content2=streamedContent||finalContent||"",reasoning=streamedReasoningContent||reasoningContent,updateData={content:content2,reasoningContent:reasoning||void 0,toolCalls:toolCalls||"",timings};resolvedModel&&!modelPersisted&&(updateData.model=resolvedModel),await DatabaseService.updateMessage(currentMessageId,updateData);const idx=conversationsStore.findMessageIndex(currentMessageId),uiUpdate={content:content2,reasoningContent:reasoning||
+void 0,toolCalls:toolCalls||""};timings&&(uiUpdate.timings=timings),resolvedModel&&(uiUpdate.model=resolvedModel),conversationsStore.updateMessageAtIndex(idx,uiUpdate),await conversationsStore.updateCurrentNode(currentMessageId),cleanupStreamingState(),onComplete&&await onComplete(content2),isRouterMode()&&modelsStore.fetchRouterModels().catch(console.error);const pending=this.consumePendingMessage(convId);pending&&await this.sendMessage(pending.content,pending.extras)},onError:streamCallbacks.onError},
+convId,abortController.signal)}async stopGeneration(){const activeConv=conversationsStore.activeConversation;activeConv&&await this.stopGenerationForChat(activeConv.id)}async stopGenerationForChat(convId){await this.savePartialResponseIfNeeded(convId),this.setStreamingActive(!1),this.abortRequest(convId),this.setChatLoading(convId,!1),this.clearChatStreaming(convId),this.setProcessingState(convId,null),this.clearPendingMessage(convId)}async savePartialResponseIfNeeded(convId){const conversationId=convId||
+conversationsStore.activeConversation?.id;if(!conversationId)return;const streamingState=this.getChatStreaming(conversationId);if(!streamingState||!streamingState.response.trim())return;const messages=conversationId===conversationsStore.activeConversation?.id?conversationsStore.activeMessages:await conversationsStore.getConversationMessages(conversationId);if(!messages.length)return;const lastMessage=messages[messages.length-1];if(lastMessage?.role===MessageRole.ASSISTANT)try{const updateData={content:streamingState.
+response},lastKnownState=this.getProcessingState(conversationId);lastKnownState&&(updateData.timings={prompt_n:lastKnownState.promptTokens||0,prompt_ms:lastKnownState.promptMs,predicted_n:lastKnownState.tokensDecoded||0,cache_n:lastKnownState.cacheTokens||0,predicted_ms:lastKnownState.tokensPerSecond&&lastKnownState.tokensDecoded?lastKnownState.tokensDecoded/lastKnownState.tokensPerSecond*1e3:void 0}),await DatabaseService.updateMessage(lastMessage.id,updateData),lastMessage.content=streamingState.
+response,updateData.timings&&(lastMessage.timings=updateData.timings)}catch(error2){lastMessage.content=streamingState.response,console.error("Failed to save partial response:",error2)}}async updateMessage(messageId,newContent){const activeConv=conversationsStore.activeConversation;if(!activeConv)return;this.isChatLoadingInternal(activeConv.id)&&await this.stopGeneration();const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:messageToUpdate,index:messageIndex}=result,
+originalContent=messageToUpdate.content;try{const rootMessage=(await conversationsStore.getConversationMessages(activeConv.id)).find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=rootMessage&&messageToUpdate.parent===rootMessage.id;conversationsStore.updateMessageAtIndex(messageIndex,{content:newContent}),await DatabaseService.updateMessage(messageId,{content:newContent}),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.
+id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine));const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex+1);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex+1),conversationsStore.updateConversationTimestamp(),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const assistantMessage=await this.createAssistantMessage();conversationsStore.
+addMessageToActive(assistantMessage),await conversationsStore.updateCurrentNode(assistantMessage.id),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage,void 0,()=>{conversationsStore.updateMessageAtIndex(conversationsStore.findMessageIndex(messageId),{content:originalContent})})}catch(error2){isAbortError(error2)||console.error("Failed to update message:",error2)}}async regenerateMessage(messageId){const activeConv=conversationsStore.activeConversation;
+if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;this.cancelPreEncode();const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{index:messageIndex}=result;try{const messagesToRemove=conversationsStore.activeMessages.slice(messageIndex);for(const message of messagesToRemove)await DatabaseService.deleteMessage(message.id);conversationsStore.sliceActiveMessages(messageIndex),conversationsStore.updateConversationTimestamp(),this.setChatLoading(
+activeConv.id,!0),this.clearChatStreaming(activeConv.id);const parentMessageId=conversationsStore.activeMessages.length>0?conversationsStore.activeMessages[conversationsStore.activeMessages.length-1].id:void 0,assistantMessage=await this.createAssistantMessage(parentMessageId);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationsStore.activeMessages.slice(0,-1),assistantMessage)}catch(error2){isAbortError(error2)||console.error("Failed to regenerat\
+e message:",error2),this.setChatLoading(activeConv?.id||"",!1)}}async regenerateMessageWithBranching(messageId,modelOverride){const activeConv=conversationsStore.activeConversation;if(!(!activeConv||this.isChatLoadingInternal(activeConv.id))){this.cancelPreEncode();try{const idx=conversationsStore.findMessageIndex(messageId);if(idx===-1)return;const msg=conversationsStore.activeMessages[idx];if(msg.role!==MessageRole.ASSISTANT)return;const allMessages=await conversationsStore.getConversationMessages(
+activeConv.id),parentMessage=findMessageById(allMessages,msg.parent);if(!parentMessage)return;this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const newAssistantMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:"",toolCalls:"",children:[],model:null},parentMessage.id);await conversationsStore.updateCurrentNode(newAssistantMessage.id),conversationsStore.updateConversationTimestamp(),await conversationsStore.
+refreshActiveMessages();const conversationPath=filterByLeafNodeId(allMessages,parentMessage.id,!1),modelToUse=modelOverride||msg.model||void 0;await this.streamChatCompletion(conversationPath,newAssistantMessage,void 0,void 0,modelToUse)}catch(error2){isAbortError(error2)||console.error("Failed to regenerate message with branching:",error2),this.setChatLoading(activeConv?.id||"",!1)}}}async getDeletionInfo(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv)return{totalCount:0,
+userMessages:0,assistantMessages:0,messageTypes:[]};const allMessages=await conversationsStore.getConversationMessages(activeConv.id);if(findMessageById(allMessages,messageId)?.role===MessageRole.SYSTEM){const messagesToDelete2=allMessages.filter(m=>m.id===messageId);let userMessages2=0,assistantMessages2=0;const messageTypes2=[];for(const msg of messagesToDelete2)msg.role===MessageRole.USER?(userMessages2++,messageTypes2.includes("user message")||messageTypes2.push("user message")):msg.role===MessageRole.
+ASSISTANT&&(assistantMessages2++,messageTypes2.includes("assistant response")||messageTypes2.push("assistant response"));return{totalCount:1,userMessages:userMessages2,assistantMessages:assistantMessages2,messageTypes:messageTypes2}}const descendants=findDescendantMessages(allMessages,messageId),allToDelete=[messageId,...descendants],messagesToDelete=allMessages.filter(m=>allToDelete.includes(m.id));let userMessages=0,assistantMessages=0;const messageTypes=[];for(const msg of messagesToDelete)msg.
+role===MessageRole.USER?(userMessages++,messageTypes.includes("user message")||messageTypes.push("user message")):msg.role===MessageRole.ASSISTANT&&(assistantMessages++,messageTypes.includes("assistant response")||messageTypes.push("assistant response"));return{totalCount:allToDelete.length,userMessages,assistantMessages,messageTypes}}async deleteMessage(messageId){const activeConv=conversationsStore.activeConversation;if(activeConv)try{const allMessages=await conversationsStore.getConversationMessages(
+activeConv.id),messageToDelete=findMessageById(allMessages,messageId);if(!messageToDelete)return;if(filterByLeafNodeId(allMessages,activeConv.currNode||"",!1).some(m=>m.id===messageId)&&messageToDelete.parent){const siblings2=allMessages.filter(m=>m.parent===messageToDelete.parent&&m.id!==messageId);if(siblings2.length>0){const latestSibling=siblings2.reduce((latest,sibling2)=>sibling2.timestamp>latest.timestamp?sibling2:latest);await conversationsStore.updateCurrentNode(findLeafNode(allMessages,
+latestSibling.id))}else messageToDelete.parent&&await conversationsStore.updateCurrentNode(findLeafNode(allMessages,messageToDelete.parent))}await DatabaseService.deleteMessageCascading(activeConv.id,messageId),await conversationsStore.refreshActiveMessages(),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to delete message:",error2)}}async continueAssistantMessage(messageId){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(
+activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(activeConv.id);const allMessages=await conversationsStore.getConversationMessages(activeConv.id),dbMessage=findMessageById(allMessages,messageId);if(!dbMessage){this.setChatLoading(activeConv.id,!1);return}const originalContent=dbMessage.content,originalReasoning=dbMessage.
+reasoningContent||"",contextWithContinue=[...conversationsStore.activeMessages.slice(0,idx),{role:MessageRole.ASSISTANT,content:originalContent}];let appendedContent="",appendedReasoning="",hasReceivedContent=!1;const updateStreamingContent=fullContent=>{this.setChatStreaming(msg.convId,fullContent,msg.id),conversationsStore.updateMessageAtIndex(idx,{content:fullContent})},abortController=this.getOrCreateAbortController(msg.convId);await ChatService.sendMessage(contextWithContinue,{...this.getApiOptions(),
+onChunk:chunk=>{appendedContent+=chunk,hasReceivedContent=!0,updateStreamingContent(originalContent+appendedContent)},onReasoningChunk:chunk=>{appendedReasoning+=chunk,hasReceivedContent=!0,conversationsStore.updateMessageAtIndex(idx,{reasoningContent:originalReasoning+appendedReasoning})},onTimings:(timings,promptProgress)=>{const tokensPerSecond=timings?.predicted_ms&&timings?.predicted_n?timings.predicted_n/timings.predicted_ms*1e3:0;this.updateProcessingStateFromTimings({prompt_n:timings?.prompt_n||
+0,prompt_ms:timings?.prompt_ms,predicted_n:timings?.predicted_n||0,predicted_per_second:tokensPerSecond,cache_n:timings?.cache_n||0,prompt_progress:promptProgress},msg.convId)},onComplete:async(finalContent,reasoningContent,timings)=>{const finalAppendedContent=hasReceivedContent?appendedContent:finalContent||"",finalAppendedReasoning=hasReceivedContent?appendedReasoning:reasoningContent||"",fullContent=originalContent+finalAppendedContent,fullReasoning=originalReasoning+finalAppendedReasoning||
+void 0;await DatabaseService.updateMessage(msg.id,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateMessageAtIndex(idx,{content:fullContent,reasoningContent:fullReasoning,timestamp:Date.now(),timings}),conversationsStore.updateConversationTimestamp(),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null)},onError:async error2=>{if(isAbortError(error2)){hasReceivedContent&&appendedContent&&
+(await DatabaseService.updateMessage(msg.id,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()}),conversationsStore.updateMessageAtIndex(idx,{content:originalContent+appendedContent,reasoningContent:originalReasoning+appendedReasoning||void 0,timestamp:Date.now()})),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null);return}console.error("Continue generation error:",
+error2),conversationsStore.updateMessageAtIndex(idx,{content:originalContent}),await DatabaseService.updateMessage(msg.id,{content:originalContent}),this.setChatLoading(msg.convId,!1),this.clearChatStreaming(msg.convId),this.setProcessingState(msg.convId,null),this.showErrorDialog({type:error2.name==="TimeoutError"?ErrorDialogType.TIMEOUT:ErrorDialogType.SERVER,message:error2.message})}},msg.convId,abortController.signal)}catch(error2){isAbortError(error2)||console.error("Failed to continue mess\
+age:",error2),activeConv&&this.setChatLoading(activeConv.id,!1)}}async editAssistantMessage(messageId,newContent,shouldBranch){const activeConv=conversationsStore.activeConversation;if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;const result=this.getMessageByIdWithRole(messageId,MessageRole.ASSISTANT);if(!result)return;const{message:msg,index:idx}=result;try{if(shouldBranch){const newMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.
+now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],model:msg.model},msg.parent);await conversationsStore.updateCurrentNode(newMessage.id)}else await DatabaseService.updateMessage(msg.id,{content:newContent}),conversationsStore.updateMessageAtIndex(idx,{content:newContent});conversationsStore.updateConversationTimestamp(),await conversationsStore.refreshActiveMessages()}catch(error2){console.error("Failed to edit assistant message:",error2)}}async editUserMessagePreserveResponses(messageId,newContent,newExtras){
+const activeConv=conversationsStore.activeConversation;if(!activeConv)return;const result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(!result)return;const{message:msg,index:idx}=result;try{const updateData={content:newContent};newExtras!==void 0&&(updateData.extra=JSON.parse(JSON.stringify(newExtras))),await DatabaseService.updateMessage(messageId,updateData),conversationsStore.updateMessageAtIndex(idx,updateData);const rootMessage=(await conversationsStore.getConversationMessages(
+activeConv.id)).find(m=>m.type==="root"&&m.parent===null);rootMessage&&msg.parent===rootMessage.id&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine)),conversationsStore.updateConversationTimestamp()}catch(error2){console.error("Failed to edit user message:",error2)}}async editMessageWithBranching(messageId,newContent,newExtras){const activeConv=conversationsStore.activeConversation;
+if(!activeConv||this.isChatLoadingInternal(activeConv.id))return;let result=this.getMessageByIdWithRole(messageId,MessageRole.USER);if(result||(result=this.getMessageByIdWithRole(messageId,MessageRole.SYSTEM)),!result)return;const{message:msg,index:idx}=result;try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),rootMessage=allMessages.find(m=>m.type==="root"&&m.parent===null),isFirstUserMessage=msg.role===MessageRole.USER&&rootMessage&&msg.parent===rootMessage.id,
+extrasToUse=newExtras!==void 0?JSON.parse(JSON.stringify(newExtras)):msg.extra?JSON.parse(JSON.stringify(msg.extra)):void 0;let messageIdForResponse;const dbMsg=findMessageById(allMessages,msg.id);if(dbMsg?dbMsg.children.length>0:msg.children.length>0){const parentId=msg.parent||rootMessage?.id;if(!parentId)return;const newMessage=await DatabaseService.createMessageBranch({convId:msg.convId,type:msg.type,timestamp:Date.now(),role:msg.role,content:newContent,toolCalls:msg.toolCalls||"",children:[],
+extra:extrasToUse,model:msg.model},parentId);await conversationsStore.updateCurrentNode(newMessage.id),messageIdForResponse=newMessage.id}else{const updates={content:newContent,timestamp:Date.now(),extra:extrasToUse};await DatabaseService.updateMessage(msg.id,updates),conversationsStore.updateMessageAtIndex(idx,updates),messageIdForResponse=msg.id}conversationsStore.updateConversationTimestamp(),isFirstUserMessage&&newContent.trim()&&await conversationsStore.updateConversationTitleWithConfirmation(
+activeConv.id,generateConversationTitle(newContent,!!config$1().titleGenerationUseFirstLine)),await conversationsStore.refreshActiveMessages(),msg.role===MessageRole.USER&&await this.generateResponseForMessage(messageIdForResponse)}catch(error2){console.error("Failed to edit message with branching:",error2)}}async generateResponseForMessage(userMessageId){const activeConv=conversationsStore.activeConversation;if(activeConv){this.showErrorDialog(null),this.setChatLoading(activeConv.id,!0),this.clearChatStreaming(
+activeConv.id);try{const allMessages=await conversationsStore.getConversationMessages(activeConv.id),conversationPath=filterByLeafNodeId(allMessages,userMessageId,!1),assistantMessage=await DatabaseService.createMessageBranch({convId:activeConv.id,type:MessageType.TEXT,timestamp:Date.now(),role:MessageRole.ASSISTANT,content:"",toolCalls:"",children:[],model:null},userMessageId);conversationsStore.addMessageToActive(assistantMessage),await this.streamChatCompletion(conversationPath,assistantMessage)}catch(error2){
+console.error("Failed to generate response:",error2),this.setChatLoading(activeConv.id,!1)}}}getContextTotal(){const activeConvId=this.activeConversationId,activeState=activeConvId?this.getProcessingState(activeConvId):null;if(activeState&&typeof activeState.contextTotal=="number"&&activeState.contextTotal>0)return activeState.contextTotal;if(isRouterMode()){const modelContextSize=selectedModelContextSize();if(typeof modelContextSize=="number"&&modelContextSize>0)return modelContextSize}else{const propsContextSize=contextSize();
+if(typeof propsContextSize=="number"&&propsContextSize>0)return propsContextSize}return null}updateProcessingStateFromTimings(timingData,conversationId){const processingState=this.parseTimingData(timingData);if(processingState===null){console.warn("Failed to parse timing data - skipping update");return}const targetId=conversationId||this.activeConversationId;targetId&&this.setProcessingState(targetId,processingState)}parseTimingData(timingData){const promptTokens=timingData.prompt_n||0,promptMs=timingData.
+prompt_ms||void 0,predictedTokens=timingData.predicted_n||0,tokensPerSecond=timingData.predicted_per_second||0,cacheTokens=timingData.cache_n||0,promptProgress=timingData.prompt_progress,contextTotal=this.getContextTotal(),currentConfig=config$1(),outputTokensMax=currentConfig.max_tokens||-1,contextUsed=promptTokens+cacheTokens+predictedTokens,outputTokensUsed=predictedTokens,progressCache=promptProgress?.cache||0,progressActualDone=(promptProgress?.processed??0)-progressCache,progressActualTotal=(promptProgress?.
+total??0)-progressCache,progressPercent=promptProgress?Math.round(progressActualDone/progressActualTotal*100):void 0;return{status:predictedTokens>0?"generating":promptProgress?"preparing":"idle",tokensDecoded:predictedTokens,tokensRemaining:outputTokensMax-predictedTokens,contextUsed,contextTotal,outputTokensUsed,outputTokensMax,hasNextToken:predictedTokens>0,tokensPerSecond,temperature:currentConfig.temperature??.8,topP:currentConfig.top_p??.95,speculative:!1,progressPercent,promptProgress,promptTokens,
+promptMs,cacheTokens}}restoreProcessingStateFromMessages(messages,conversationId){for(let i=messages.length-1;i>=0;i--){const message=messages[i];if(message.role===MessageRole.ASSISTANT&&message.timings){const restoredState=this.parseTimingData({prompt_n:message.timings.prompt_n||0,prompt_ms:message.timings.prompt_ms,predicted_n:message.timings.predicted_n||0,predicted_per_second:message.timings.predicted_n&&message.timings.predicted_ms?message.timings.predicted_n/message.timings.predicted_ms*1e3:
+0,cache_n:message.timings.cache_n||0});if(restoredState){this.setProcessingState(conversationId,restoredState);return}}}}getConversationModel(messages){for(let i=messages.length-1;i>=0;i--){const message=messages[i];if(message.role===MessageRole.ASSISTANT&&message.model)return message.model}return null}getApiOptions(){const currentConfig=config$1(),hasValue=value=>value!=null&&value!=="",apiOptions={stream:!0,timings_per_token:!0};if(isRouterMode()){const modelName=selectedModelName();modelName&&
+(apiOptions.model=modelName)}return currentConfig.systemMessage&&(apiOptions.systemMessage=currentConfig.systemMessage),currentConfig.disableReasoningParsing&&(apiOptions.disableReasoningParsing=!0),currentConfig.excludeReasoningFromContext&&(apiOptions.excludeReasoningFromContext=!0),hasValue(currentConfig.temperature)&&(apiOptions.temperature=Number(currentConfig.temperature)),hasValue(currentConfig.max_tokens)&&(apiOptions.max_tokens=Number(currentConfig.max_tokens)),hasValue(currentConfig.dynatemp_range)&&
+(apiOptions.dynatemp_range=Number(currentConfig.dynatemp_range)),hasValue(currentConfig.dynatemp_exponent)&&(apiOptions.dynatemp_exponent=Number(currentConfig.dynatemp_exponent)),hasValue(currentConfig.top_k)&&(apiOptions.top_k=Number(currentConfig.top_k)),hasValue(currentConfig.top_p)&&(apiOptions.top_p=Number(currentConfig.top_p)),hasValue(currentConfig.min_p)&&(apiOptions.min_p=Number(currentConfig.min_p)),hasValue(currentConfig.xtc_probability)&&(apiOptions.xtc_probability=Number(currentConfig.
+xtc_probability)),hasValue(currentConfig.xtc_threshold)&&(apiOptions.xtc_threshold=Number(currentConfig.xtc_threshold)),hasValue(currentConfig.typ_p)&&(apiOptions.typ_p=Number(currentConfig.typ_p)),hasValue(currentConfig.repeat_last_n)&&(apiOptions.repeat_last_n=Number(currentConfig.repeat_last_n)),hasValue(currentConfig.repeat_penalty)&&(apiOptions.repeat_penalty=Number(currentConfig.repeat_penalty)),hasValue(currentConfig.presence_penalty)&&(apiOptions.presence_penalty=Number(currentConfig.presence_penalty)),
+hasValue(currentConfig.frequency_penalty)&&(apiOptions.frequency_penalty=Number(currentConfig.frequency_penalty)),hasValue(currentConfig.dry_multiplier)&&(apiOptions.dry_multiplier=Number(currentConfig.dry_multiplier)),hasValue(currentConfig.dry_base)&&(apiOptions.dry_base=Number(currentConfig.dry_base)),hasValue(currentConfig.dry_allowed_length)&&(apiOptions.dry_allowed_length=Number(currentConfig.dry_allowed_length)),hasValue(currentConfig.dry_penalty_last_n)&&(apiOptions.dry_penalty_last_n=Number(
+currentConfig.dry_penalty_last_n)),currentConfig.samplers&&(apiOptions.samplers=currentConfig.samplers),apiOptions.backend_sampling=currentConfig.backend_sampling,currentConfig.custom&&(apiOptions.custom=currentConfig.custom),apiOptions}cancelPreEncode(){this.preEncodeAbortController&&(this.preEncodeAbortController.abort(),this.preEncodeAbortController=null)}async triggerPreEncode(allMessages,assistantMessage,assistantContent,model,excludeReasoning){this.cancelPreEncode(),this.preEncodeAbortController=
+new AbortController;const signal=this.preEncodeAbortController.signal;try{if(!await ChatService.areAllSlotsIdle(model,signal)||signal.aborted)return;const messagesWithAssistant=[...allMessages,{...assistantMessage,content:assistantContent}];await ChatService.preEncode(messagesWithAssistant,model,excludeReasoning,signal)}catch(err){isAbortError(err)||console.warn("[ChatStore] Pre-encode failed:",err)}}}const chatStore=new ChatStore,activeProcessingState=()=>chatStore.activeProcessingState,errorDialog=()=>chatStore.
+errorDialogState,getAddFilesHandler=()=>chatStore.getAddFilesHandler(),getAllLoadingChats=()=>chatStore.getAllLoadingChats(),isChatStreaming=()=>chatStore.isStreaming(),isEditing=()=>chatStore.isEditing(),isLoading=()=>chatStore.isLoading,pendingEditMessageId=()=>chatStore.pendingEditMessageId,chatPendingMessageContent=convId=>chatStore.pendingMessageContent(convId),chatPendingMessageExtras=convId=>chatStore.pendingMessageExtras(convId),chatClearPendingMessage=convId=>chatStore.clearPendingMessage(
+convId),chatInjectPendingMessage=(convId,content2,extras)=>chatStore.injectPendingMessage(convId,content2,extras);var root$1s=from_html('<!> <form><!> <div data-slot="input-area"><!> <div class="flex-column relative min-h-[48px] items-center rounded-3xl py-2 pb-2.25 shadow-sm transition-all focus-within:shadow-md md:!py-3"><!> <!> <!></div></div></form> <!>',1);function ChatForm($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),className=prop($$props,"cla\
+ss",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),placeholder=prop($$props,"placeholder",3,"Type a message..."),showMcpPromptButton=prop($$props,"showMcpPromptButton",3,!1),showAddButton=prop($$props,"showAddButton",3,!0),showModelSelector=prop($$props,"showModelSelector",3,!0),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),value=prop($$props,"value",15,""),audioRecorder,chatFormActionsRef=state$1(void 0),fileInputRef=state$1(void 0),pickersRef=state$1(
+void 0),textareaRef=state$1(void 0),isRecording=state$1(!1),recordingSupported=state$1(!1),isPromptPickerOpen=state$1(!1),promptSearchQuery=state$1(""),isInlineResourcePickerOpen=state$1(!1),resourceSearchQuery=state$1(""),isResourceDialogOpen=state$1(!1),preSelectedResourceUri=state$1(void 0),currentConfig=user_derived(config$1),pasteLongTextToFileLength=user_derived(()=>{const n=Number(get$3(currentConfig).pasteLongTextToFileLen);return Number.isNaN(n)?Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen):
+n}),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),
+hasModelSelected=user_derived(()=>!get$3(isRouter)||!!get$3(conversationModel)||!!selectedModelId()),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),hasAttachments=user_derived(()=>attachments()&&attachments().length>0||uploadedFiles()&&uploadedFiles().length>0),canSubmit=user_derived(()=>value().trim().length>0||get$3(hasAttachments));onMount$1(()=>{set$1(recordingSupported,isAudioRecordingSupported(),!0),audioRecorder=new AudioRecorder});function focus2(){get$3(textareaRef)?.
+focus()}function resetTextareaHeight(){get$3(textareaRef)?.resetHeight()}function openModelSelector(){get$3(chatFormActionsRef)?.openModelSelector()}function checkModelSelected(){return get$3(hasModelSelected)?!0:(get$3(chatFormActionsRef)?.openModelSelector(),!1)}function handleFileSelect(files){$$props.onFilesAdd?.(files)}function handleFileUpload(){get$3(fileInputRef)?.click()}function handleFileRemove(fileId){if(fileId.startsWith("attachment-")){const index2=parseInt(fileId.replace("attachme\
+nt-",""),10);!isNaN(index2)&&index2>=0&&index2<attachments().length&&$$props.onAttachmentRemove?.(index2)}else $$props.onUploadedFileRemove?.(fileId)}function handleInput(){const perChatOverrides=conversationsStore.getAllMcpServerOverrides(),hasServers=mcpStore.hasEnabledServers(perChatOverrides);value().startsWith(PROMPT_TRIGGER_PREFIX)&&hasServers?(set$1(isPromptPickerOpen,!0),set$1(promptSearchQuery,value().slice(1),!0),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,"")):value().
+startsWith(RESOURCE_TRIGGER_PREFIX)&&hasServers&&mcpStore.hasResourcesCapability(perChatOverrides)?(set$1(isInlineResourcePickerOpen,!0),set$1(resourceSearchQuery,value().slice(1),!0),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"")):(set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,""),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""))}function handleKeydown(event2){if(!get$3(pickersRef)?.handleKeydown(event2)){if(event2.key===KeyboardKey.ESCAPE&&get$3(isPromptPickerOpen)){
+set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");return}if(event2.key===KeyboardKey.ESCAPE&&get$3(isInlineResourcePickerOpen)){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,"");return}if(event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)){const isModifier=event2.ctrlKey||event2.metaKey;if(get$3(currentConfig).sendOnEnter!==!1||isModifier){if(event2.preventDefault(),!get$3(canSubmit)||disabled()||get$3(hasLoadingAttachments))return;$$props.onSubmit?.()}}}}
+function handlePaste(event2){if(!event2.clipboardData)return;const files=Array.from(event2.clipboardData.items).filter(item=>item.kind==="file").map(item=>item.getAsFile()).filter(file=>file!==null);if(files.length>0){event2.preventDefault(),$$props.onFilesAdd?.(files);return}const text2=event2.clipboardData.getData(MimeTypeText.PLAIN);if(text2.startsWith(CLIPBOARD_CONTENT_QUOTE_PREFIX)){const parsed=parseClipboardContent(text2);if(parsed.textAttachments.length>0||parsed.mcpPromptAttachments.length>
+0){if(event2.preventDefault(),value(parsed.message),$$props.onValueChange?.(parsed.message),parsed.textAttachments.length>0){const attachmentFiles=parsed.textAttachments.map(att=>new File([att.content],att.name,{type:MimeTypeText.PLAIN}));$$props.onFilesAdd?.(attachmentFiles)}if(parsed.mcpPromptAttachments.length>0){const mcpPromptFiles=parsed.mcpPromptAttachments.map(att=>({id:uuid$1(),name:att.name,size:att.content.length,type:SpecialFileType.MCP_PROMPT,file:new File([att.content],`${att.name}${FileExtensionText.
+TXT}`,{type:MimeTypeText.PLAIN}),isLoading:!1,textContent:att.content,mcpPrompt:{serverName:att.serverName,promptName:att.promptName,arguments:att.arguments}}));uploadedFiles([...uploadedFiles(),...mcpPromptFiles]),$$props.onUploadedFilesChange?.(uploadedFiles())}setTimeout(()=>{get$3(textareaRef)?.focus()},10);return}}if(text2.length>0&&get$3(pasteLongTextToFileLength)>0&&text2.length>get$3(pasteLongTextToFileLength)){event2.preventDefault();const textFile=new File([text2],"Pasted",{type:MimeTypeText.
+PLAIN});$$props.onFilesAdd?.([textFile])}}function handlePromptLoadStart(placeholderId,promptInfo,args){value().startsWith(PROMPT_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,"");const promptName=promptInfo.title||promptInfo.name,placeholder2={id:placeholderId,name:promptName,size:INITIAL_FILE_SIZE,type:SpecialFileType.MCP_PROMPT,file:new File([],"loading"),isLoading:!0,mcpPrompt:{serverName:promptInfo.serverName,promptName:promptInfo.
+name,arguments:args?{...args}:void 0}};uploadedFiles([...uploadedFiles(),placeholder2]),$$props.onUploadedFilesChange?.(uploadedFiles()),get$3(textareaRef)?.focus()}function handlePromptLoadComplete(placeholderId,result){const promptText=result.messages?.map(msg=>typeof msg.content=="string"?msg.content:msg.content.type===ContentPartType.TEXT?msg.content.text:"").filter(Boolean).join(PROMPT_CONTENT_SEPARATOR);uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,textContent:promptText,
+size:promptText.length,file:new File([promptText],`${f.name}${FileExtensionText.TXT}`,{type:MimeTypeText.PLAIN})}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptLoadError(placeholderId,error2){uploadedFiles(uploadedFiles().map(f=>f.id===placeholderId?{...f,isLoading:!1,loadError:error2}:f)),$$props.onUploadedFilesChange?.(uploadedFiles())}function handlePromptPickerClose(){set$1(isPromptPickerOpen,!1),set$1(promptSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourcePickerClose(){
+set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleInlineResourceSelect(){value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),get$3(textareaRef)?.focus()}function handleBrowseResources(){set$1(isInlineResourcePickerOpen,!1),set$1(resourceSearchQuery,""),value().startsWith(RESOURCE_TRIGGER_PREFIX)&&(value(""),$$props.onValueChange?.("")),set$1(
+isResourceDialogOpen,!0)}async function handleMicClick(){if(!audioRecorder||!get$3(recordingSupported)){console.warn("Audio recording not supported");return}if(get$3(isRecording)){set$1(isRecording,!1);try{const audioBlob=await audioRecorder.stopRecording(),wavBlob=await convertToWav(audioBlob),audioFile=createAudioFile(wavBlob);$$props.onFilesAdd?.([audioFile])}catch(error2){console.error("Failed to stop recording:",error2)}}else try{await audioRecorder.startRecording(),set$1(isRecording,!0)}catch(error2){
+console.error("Failed to start recording:",error2)}}var $$exports={focus:focus2,resetTextareaHeight,openModelSelector,checkModelSelected},fragment=root$1s(),node2=first_child(fragment);bind_this(ChatFormFileInputInvisible(node2,{onFileSelect:handleFileSelect}),$$value=>set$1(fileInputRef,$$value,!0),()=>get$3(fileInputRef));var form=sibling(node2,2),node_1=child(form);bind_this(ChatFormPickers(node_1,{get isPromptPickerOpen(){return get$3(isPromptPickerOpen)},get promptSearchQuery(){return get$3(
+promptSearchQuery)},get isInlineResourcePickerOpen(){return get$3(isInlineResourcePickerOpen)},get resourceSearchQuery(){return get$3(resourceSearchQuery)},onPromptPickerClose:handlePromptPickerClose,onInlineResourcePickerClose:handleInlineResourcePickerClose,onInlineResourceSelect:handleInlineResourceSelect,onPromptLoadStart:handlePromptLoadStart,onPromptLoadComplete:handlePromptLoadComplete,onPromptLoadError:handlePromptLoadError,onInlineResourceBrowse:handleBrowseResources}),$$value=>set$1(pickersRef,
+$$value,!0),()=>get$3(pickersRef));var div=sibling(node_1,2),node_2=child(div);{let $0=user_derived(()=>get$3(activeModelId)??void 0);ChatAttachmentsList(node_2,{get attachments(){return attachments()},onFileRemove:handleFileRemove,limitToSingleRow:!0,class:"py-5",style:"scroll-padding: 1rem;",get activeModelId(){return get$3($0)},get uploadedFiles(){return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}})}var div_1=sibling(node_2,2),node_3=child(div_1);bind_this(ChatFormTextarea(
+node_3,{class:"px-5 py-1.5 md:pt-0",onKeydown:handleKeydown,onInput:()=>{handleInput(),$$props.onValueChange?.(value())},get disabled(){return disabled()},get placeholder(){return placeholder()},get value(){return value()},set value($$value){value($$value)}}),$$value=>set$1(textareaRef,$$value,!0),()=>get$3(textareaRef));var node_4=sibling(node_3,2);{var consequent=$$anchor2=>{ChatFormMcpResourcesList($$anchor2,{class:"mb-3",onResourceClick:uri2=>{set$1(preSelectedResourceUri,uri2,!0),set$1(isResourceDialogOpen,
+!0)}})},d2=user_derived(()=>mcpHasResourceAttachments());if_block(node_4,$$render=>{get$3(d2)&&$$render(consequent)})}var node_5=sibling(node_4,2);{let $0=user_derived(()=>showMcpPromptButton()?()=>set$1(isPromptPickerOpen,!0):void 0);bind_this(ChatFormActions(node_5,{class:"px-3",get canSend(){return get$3(canSubmit)},get disabled(){return disabled()},get isLoading(){return isLoading2()},get isRecording(){return get$3(isRecording)},get showAddButton(){return showAddButton()},get showModelSelector(){
+return showModelSelector()},get uploadedFiles(){return uploadedFiles()},onFileUpload:handleFileUpload,onMicClick:handleMicClick,get onStop(){return $$props.onStop},onSystemPromptClick:()=>$$props.onSystemPromptClick?.({message:value(),files:uploadedFiles()}),get onMcpPromptClick(){return get$3($0)},onMcpResourcesClick:()=>set$1(isResourceDialogOpen,!0)}),$$value=>set$1(chatFormActionsRef,$$value,!0),()=>get$3(chatFormActionsRef))}reset(div_1),reset(div),reset(form);var node_6=sibling(form,2);return DialogMcpResourcesBrowser(
+node_6,{get preSelectedUri(){return get$3(preSelectedResourceUri)},onAttach:resource=>{mcpStore.attachResource(resource.uri)},onOpenChange:newOpen=>{newOpen||set$1(preSelectedResourceUri,void 0)},get open(){return get$3(isResourceDialogOpen)},set open($$value){set$1(isResourceDialogOpen,$$value,!0)}}),template_effect(()=>{set_class(form,1,`relative ${className()??""}`),set_class(div,1,`${INPUT_CLASSES??""} overflow-hidden rounded-3xl backdrop-blur-md ${disabled()?"cursor-not-allowed opacity-60":
+""}`)}),event("submit",form,event2=>{event2.preventDefault(),!(!get$3(canSubmit)||disabled()||get$3(hasLoadingAttachments))&&$$props.onSubmit?.()}),event("paste",div_1,handlePaste),append($$anchor,fragment),pop($$exports)}function Dropdown_menu_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","sideOffset","portalProps","class"]);var fragment=comment$2(),node2=first_child(
+fragment);component(node2,()=>Portal$2,($$anchor2,DropdownMenuPrimitive_Portal)=>{DropdownMenuPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-po\
+pover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node_1,()=>Dropdown_menu_content$1,
+($$anchor4,DropdownMenuPrimitive_Content)=>{DropdownMenuPrimitive_Content($$anchor4,spread_props({"data-slot":"dropdown-menu-content",get sideOffset(){return sideOffset()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",
+3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","variant"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("relative flex cursor-pointer items-center gap-2 rounded-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[inset]:pl-8 data-[variant=destructive]:text-destructive data-[var\
+iant=destructive]:data-highlighted:bg-destructive/10 data-[variant=destructive]:data-highlighted:text-destructive dark:data-[variant=destructive]:data-highlighted:bg-destructive/20 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground data-[variant=destructive]:*:[svg]:!text-destructive",$$props.class));component(node2,()=>Menu_item,($$anchor2,DropdownMenuPrimitive_Item)=>{DropdownMenuPrimitive_Item($$anchor2,spread_props(
+{"data-slot":"dropdown-menu-item",get"data-inset"(){return $$props.inset},get"data-variant"(){return variant()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_separator($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(
+()=>cn$1("-mx-1 my-1 h-px bg-border/20",$$props.class));component(node2,()=>Menu_separator,($$anchor2,DropdownMenuPrimitive_Separator)=>{DropdownMenuPrimitive_Separator($$anchor2,spread_props({"data-slot":"dropdown-menu-separator",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Dropdown_menu_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,
+["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Menu_trigger,($$anchor2,DropdownMenuPrimitive_Trigger)=>{DropdownMenuPrimitive_Trigger($$anchor2,spread_props({"data-slot":"dropdown-menu-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function Dropdown_menu_sub_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-\
+in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20",$$props.class));component(node2,()=>Menu_sub_content,($$anchor2,DropdownMenuPrimitive_SubContent)=>{DropdownMenuPrimitive_SubContent($$anchor2,spread_props({"data-slot":"dropdown-menu-sub-content",get class(){
+return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$N=from_html("<!> <!>",1);function Dropdown_menu_sub_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","inset","children"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center gap-2 rounded\
+-sm px-2 py-1.5 text-sm outline-hidden select-none data-highlighted:bg-accent data-highlighted:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[inset]:pl-8 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground",$$props.class));component(node2,()=>Menu_sub_trigger,($$anchor2,DropdownMenuPrimitive_SubTrigger)=>{
+DropdownMenuPrimitive_SubTrigger($$anchor2,spread_props({"data-slot":"dropdown-menu-sub-trigger",get"data-inset"(){return $$props.inset},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$N(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_right(node_2,{class:"ml-auto size-4"}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}
+append($$anchor,fragment),pop()}const Sub=Menu_sub,Root$4=Menu;function useAttachmentMenu(getFlags,getCallbacks,close2){const modalityFlags=user_derived(getFlags),callbacks=user_derived(()=>{const cbs=getCallbacks(),wrap2=fn=>()=>{close2(),fn?.()};return{[AttachmentAction.FILE_UPLOAD]:wrap2(cbs.onFileUpload),[AttachmentAction.SYSTEM_PROMPT_CLICK]:wrap2(cbs.onSystemPromptClick),[AttachmentAction.MCP_PROMPT_CLICK]:wrap2(cbs.onMcpPromptClick),[AttachmentAction.MCP_RESOURCES_CLICK]:wrap2(cbs.onMcpResourcesClick)}});
+function isItemEnabled(enabledWhen){return!enabledWhen||enabledWhen==="always"?!0:!!get$3(modalityFlags)[enabledWhen]}function isItemVisible(visibleWhen){return visibleWhen?!!get$3(modalityFlags)[visibleWhen]:!0}function getSystemMessageTooltip(){return page$1.params.id?"Inject custom system message at the beginning of the conversation":"Add custom system message for a new conversation"}return{get callbacks(){return get$3(callbacks)},isItemEnabled,isItemVisible,getSystemMessageTooltip}}var root_6$t=from_html(
+"<!> <span> </span>",1),root_10$e=from_html("<!> <span> </span>",1),root_11$e=from_html("<p> </p>"),root_8$q=from_html("<!> <!>",1),root_16$5=from_html("<!> <span> </span>",1),root_17$8=from_html("<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>"),root_13$b=from_html("<!> <!>",1),root_22$1=from_html("<!> <span> </span>",1),root_23$5=from_html("<p> </p>"),root_20$4=from_html("<!> <!>",1),root_26$1=from_html("<!> <span> </span>",1),root_3$R=from_html("<!> <!> <!> <!> \
+<!> <!> <!>",1),root_1$M=from_html("<!> <!>",1),root$1r=from_html("<div><!></div>");function ChatFormActionAddDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),dropdownOpen=state$1(!1);
+function handleMcpSettingsClick(){set$1(dropdownOpen,!1),$$props.onMcpSettingsClick?.()}const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(),hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props.onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(dropdownOpen,
+!1)});var div=root$1r(),node2=child(div);component(node2,()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$M(),node_1=first_child(fragment);component(node_1,()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{name:"Attach files",get disabled(){return disabled()},children:($$anchor5,$$slotProps2)=>{
+var fragment_1=comment$2(),node_2=first_child(fragment_1);snippet(node_2,()=>$$props.trigger,()=>({disabled:disabled()})),append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor4,{align:"start",class:"w-48",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_3$R(),node_4=first_child(fragment_2);each(node_4,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.id,($$anchor6,item)=>{
+const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen));var fragment_3=comment$2(),node_5=first_child(fragment_3);{var consequent=$$anchor7=>{var fragment_4=comment$2(),node_6=first_child(fragment_4);{let $0=user_derived(()=>get$3(item).class??"");component(node_6,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor8,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},onclick:()=>attachmentMenu.callbacks[get$3(item).
+action](),children:($$anchor9,$$slotProps3)=>{var fragment_5=root_6$t(),node_7=first_child(fragment_5);component(node_7,()=>get$3(item).icon,($$anchor10,item_icon)=>{item_icon($$anchor10,{class:"h-4 w-4"})});var span=sibling(node_7,2),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$3(item).label)),append($$anchor9,fragment_5)},$$slots:{default:!0}})})}append($$anchor7,fragment_4)},consequent_1=$$anchor7=>{var fragment_6=comment$2(),node_8=first_child(fragment_6);component(
+node_8,()=>Root$5,($$anchor8,Tooltip_Root)=>{Tooltip_Root($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_7=root_8$q(),node_9=first_child(fragment_7);component(node_9,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);{let $0=user_derived(()=>get$3(item).class??"");component(node_10,()=>Dropdown_menu_item,
+($$anchor12,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor12,{get class(){return`${get$3($0)??""} flex cursor-pointer items-center gap-2`},disabled:!0,children:($$anchor13,$$slotProps5)=>{var fragment_9=root_10$e(),node_11=first_child(fragment_9);component(node_11,()=>get$3(item).icon,($$anchor14,item_icon_1)=>{item_icon_1($$anchor14,{class:"h-4 w-4"})});var span_1=sibling(node_11,2),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,get$3(item).label)),append($$anchor13,
+fragment_9)},$$slots:{default:!0}})})}append($$anchor11,fragment_8)},$$slots:{default:!0}})});var node_12=sibling(node_9,2);component(node_12,()=>Tooltip_content,($$anchor10,Tooltip_Content)=>{Tooltip_Content($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p2=root_11$e(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,get$3(item).disabledTooltip)),append($$anchor11,p2)},$$slots:{default:!0}})}),append($$anchor9,fragment_7)},$$slots:{default:!0}})}),append($$anchor7,
+fragment_6)};if_block(node_5,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append($$anchor6,fragment_3)});var node_13=sibling(node_4,2);{var consequent_3=$$anchor6=>{var fragment_10=comment$2(),node_14=first_child(fragment_10);component(node_14,()=>Root$5,($$anchor7,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor7,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor8,$$slotProps3)=>{var fragment_11=root_13$b(),node_15=first_child(
+fragment_11);component(node_15,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor9,{class:"w-full",children:($$anchor10,$$slotProps4)=>{var fragment_12=comment$2(),node_16=first_child(fragment_12);component(node_16,()=>Dropdown_menu_item,($$anchor11,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor11,{class:"flex cursor-pointer items-center gap-2",get onclick(){return attachmentMenu.callbacks.onFileUpload},children:($$anchor12,$$slotProps5)=>{const pdfItem=user_derived(
+()=>ATTACHMENT_FILE_ITEMS.find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_13=comment$2(),node_17=first_child(fragment_13);{var consequent_2=$$anchor13=>{var fragment_14=root_16$5(),node_18=first_child(fragment_14);component(node_18,()=>get$3(pdfItem).icon,($$anchor14,pdfItem_icon)=>{pdfItem_icon($$anchor14,{class:"h-4 w-4"})});var span_2=sibling(node_18,2),text_3=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_3,get$3(pdfItem).label)),append($$anchor13,fragment_14)};if_block(
+node_17,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append($$anchor12,fragment_13)},$$slots:{default:!0}})}),append($$anchor10,fragment_12)},$$slots:{default:!0}})});var node_19=sibling(node_15,2);component(node_19,()=>Tooltip_content,($$anchor9,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor9,{side:"right",children:($$anchor10,$$slotProps4)=>{var p_1=root_17$8();append($$anchor10,p_1)},$$slots:{default:!0}})}),append($$anchor8,fragment_11)},$$slots:{default:!0}})}),append($$anchor6,fragment_10)},
+d2=user_derived(()=>!attachmentMenu.isItemEnabled("hasVisionModality"));if_block(node_13,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_20=sibling(node_13,2);component(node_20,()=>Dropdown_menu_separator,($$anchor6,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor6,{})});var node_21=sibling(node_20,2);each(node_21,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_15=comment$2(),node_22=first_child(fragment_15);{var consequent_4=$$anchor7=>{var fragment_16=comment$2(),
+node_23=first_child(fragment_16);component(node_23,()=>Root$5,($$anchor8,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_17=root_20$4(),node_24=first_child(fragment_17);component(node_24,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor10,{class:"w-full",children:($$anchor11,$$slotProps4)=>{var fragment_18=comment$2(),node_25=first_child(fragment_18);component(node_25,()=>Dropdown_menu_item,
+($$anchor12,DropdownMenu_Item_3)=>{DropdownMenu_Item_3($$anchor12,{class:"flex cursor-pointer items-center gap-2",onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor13,$$slotProps5)=>{var fragment_19=root_22$1(),node_26=first_child(fragment_19);component(node_26,()=>get$3(item).icon,($$anchor14,item_icon_2)=>{item_icon_2($$anchor14,{class:"h-4 w-4"})});var span_3=sibling(node_26,2),text_4=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_4,get$3(item).label)),
+append($$anchor13,fragment_19)},$$slots:{default:!0}})}),append($$anchor11,fragment_18)},$$slots:{default:!0}})});var node_27=sibling(node_24,2);component(node_27,()=>Tooltip_content,($$anchor10,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_2=root_23$5(),text_5=child(p_2,!0);reset(p_2),template_effect($0=>set_text(text_5,$0),[()=>attachmentMenu.getSystemMessageTooltip()]),append($$anchor11,p_2)},$$slots:{default:!0}})}),append($$anchor9,
+fragment_17)},$$slots:{default:!0}})}),append($$anchor7,fragment_16)};if_block(node_22,$$render=>{get$3(item).id===AttachmentMenuItemId.SYSTEM_MESSAGE&&$$render(consequent_4)})}append($$anchor6,fragment_15)});var node_28=sibling(node_21,2);ChatFormActionAddToolsSubmenu(node_28,{});var node_29=sibling(node_28,2);ChatFormActionAddMcpServersSubmenu(node_29,{onMcpSettingsClick:handleMcpSettingsClick});var node_30=sibling(node_29,2);each(node_30,17,()=>ATTACHMENT_MCP_ITEMS,item=>item.id,($$anchor6,item)=>{
+var fragment_20=comment$2(),node_31=first_child(fragment_20);{var consequent_5=$$anchor7=>{var fragment_21=comment$2(),node_32=first_child(fragment_21);component(node_32,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_4)=>{DropdownMenu_Item_4($$anchor8,{class:"flex cursor-pointer items-center gap-2",onclick:()=>attachmentMenu.callbacks[get$3(item).action](),children:($$anchor9,$$slotProps3)=>{var fragment_22=root_26$1(),node_33=first_child(fragment_22);component(node_33,()=>get$3(item).icon,
+($$anchor10,item_icon_3)=>{item_icon_3($$anchor10,{class:"h-4 w-4"})});var span_4=sibling(node_33,2),text_6=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_6,get$3(item).label)),append($$anchor9,fragment_22)},$$slots:{default:!0}})}),append($$anchor7,fragment_21)},d_12=user_derived(()=>attachmentMenu.isItemVisible(get$3(item).visibleWhen));if_block(node_31,$$render=>{get$3(d_12)&&$$render(consequent_5)})}append($$anchor6,fragment_20)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),
+append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}function Sheet_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data\
+-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,SheetPrimitive_Overlay)=>{SheetPrimitive_Overlay($$anchor2,spread_props({"data-slot":"sheet-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const sheetVariants=tv({base:`border-border/30 dark:border-border/20 da\
+ta-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fill-mode-forwards fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,variants:{side:{top:"data-[state=closed]:slide-out-to-top data-[state=open]:slide-in-from-top inset-x-0 top-0 h-auto border-b",bottom:"data-[state=closed]:slide-out-to-bottom data-[state=open]:slide-in-from-bottom inset-x-0 bottom-0 h-auto border-t",left:"\
+data-[state=closed]:slide-out-to-left data-[state=open]:slide-in-from-left inset-y-0 left-0 h-full w-3/4 border-r sm:max-w-sm",right:"data-[state=closed]:slide-out-to-right data-[state=open]:slide-in-from-right inset-y-0 right-0 h-full w-3/4 border-l sm:max-w-sm"}},defaultVariants:{side:"right"}});var root_3$Q=from_html('<!> <span class="sr-only">Close</span>',1),root_2$10=from_html("<!> <!>",1),root_1$L=from_html("<!> <!>",1);function Sheet_content($$anchor,$$props){push$1($$props,!0);let ref2=prop(
+$$props,"ref",15,null),side=prop($$props,"side",3,"right"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","side","portalProps","children"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SheetPrimitive_Portal)=>{SheetPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$L(),node_1=first_child(fragment_1);Sheet_overlay(node_1,{});var node_2=sibling(node_1,
+2);{let $0=user_derived(()=>cn$1(sheetVariants({side:side()}),$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,SheetPrimitive_Content)=>{SheetPrimitive_Content($$anchor4,spread_props({"data-slot":"sheet-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$10(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children??noop$3);var node_4=sibling(node_3,2);component(
+node_4,()=>Dialog_close,($$anchor6,SheetPrimitive_Close)=>{SheetPrimitive_Close($$anchor6,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:outline-hidden disabled:pointer-events-none",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$Q(),node_5=first_child(fragment_3);X(node_5,{class:"size-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{
+default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root$1q=from_html("<div><!></div>");function Sheet_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$1q();attribute_effect(div,$0=>({"data-slot":"sheet-header",class:$0,...restProps}),[()=>cn$1("flex fle\
+x-col gap-1.5 p-4",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Sheet_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("font-semibold text-foreground",$$props.class));component(
+node2,()=>Dialog_title$1,($$anchor2,SheetPrimitive_Title)=>{SheetPrimitive_Title($$anchor2,spread_props({"data-slot":"sheet-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Sheet_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);
+{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,SheetPrimitive_Description)=>{SheetPrimitive_Description($$anchor2,spread_props({"data-slot":"sheet-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$3=Dialog;var root_3$P=from_html("<!> <!>",1),root_7$r=from_html('<button type="button"><!> <span> </span><\
+/button>'),root_10$d=from_html('<button type="button" disabled=""><!> <span> </span></button>'),root_11$d=from_html("<p> </p>"),root_9$k=from_html("<!> <!>",1),root_15$9=from_html('<button type="button"><!> <span> </span></button>'),root_16$4=from_html("<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>"),root_14$6=from_html("<!> <!>",1),root_20$3=from_html('<button type="button"><!> <span> </span></button>'),root_21$4=from_html("<p> </p>"),root_19$9=from_html("<!> <!\
+>",1),root_23$4=from_html('<button type="button"><!> <span> </span></button>'),root_2$$=from_html('<!> <div class="flex flex-col gap-1 px-1.5 pb-2"><!> <!> <!> <div class="my-2 border-t"></div> <a href="#/settings/mcp" class="flex items-center gap-3 px-3 py-2"><!> <span class="text-sm">MCP Servers</span></a> <a href="#/settings/chat/tools" class="flex items-center gap-3 px-3 py-2"><!> <span class="text-sm">Tools</span></a> <!></div>',1),root_1$K=from_html("<!> <!>",1),root$1p=from_html("<div><!>\
+</div>");function ChatFormActionAddSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),sheetOpen=state$1(!1);const attachmentMenu=useAttachmentMenu(()=>({hasVisionModality:hasVisionModality(),
+hasAudioModality:hasAudioModality(),hasMcpPromptsSupport:hasMcpPromptsSupport(),hasMcpResourcesSupport:hasMcpResourcesSupport()}),()=>({onFileUpload:$$props.onFileUpload,onSystemPromptClick:$$props.onSystemPromptClick,onMcpPromptClick:$$props.onMcpPromptClick,onMcpResourcesClick:$$props.onMcpResourcesClick}),()=>{set$1(sheetOpen,!1)}),sheetItemClass="flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allo\
+wed disabled:opacity-50";var div=root$1p(),node2=child(div);component(node2,()=>Root$3,($$anchor2,Sheet_Root)=>{Sheet_Root($$anchor2,{get open(){return get$3(sheetOpen)},set open($$value){set$1(sheetOpen,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment=root_1$K(),node_1=first_child(fragment);snippet(node_1,()=>$$props.trigger,()=>({disabled:disabled(),onclick:()=>set$1(sheetOpen,!0)}));var node_2=sibling(node_1,2);component(node_2,()=>Sheet_content,($$anchor4,Sheet_Content)=>{Sheet_Content(
+$$anchor4,{side:"bottom",class:"max-h-[85vh] gap-0 overflow-y-auto",children:($$anchor5,$$slotProps2)=>{var fragment_1=root_2$$(),node_3=first_child(fragment_1);component(node_3,()=>Sheet_header,($$anchor6,Sheet_Header)=>{Sheet_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_2=root_3$P(),node_4=first_child(fragment_2);component(node_4,()=>Sheet_title,($$anchor8,Sheet_Title)=>{Sheet_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Add to chat");append(
+$$anchor9,text2)},$$slots:{default:!0}})});var node_5=sibling(node_4,2);component(node_5,()=>Sheet_description,($$anchor8,Sheet_Description)=>{Sheet_Description($$anchor8,{class:"sr-only",children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Add files, system prompt or configure MCP servers");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_2)},$$slots:{default:!0}})});var div_1=sibling(node_3,2),node_6=child(div_1);each(node_6,17,()=>ATTACHMENT_FILE_ITEMS,item=>item.
+id,($$anchor6,item)=>{const enabled=user_derived(()=>attachmentMenu.isItemEnabled(get$3(item).enabledWhen));var fragment_3=comment$2(),node_7=first_child(fragment_3);{var consequent=$$anchor7=>{var button=root_7$r();set_class(button,1,clsx(sheetItemClass));var node_8=child(button);component(node_8,()=>get$3(item).icon,($$anchor8,item_icon)=>{item_icon($$anchor8,{class:"h-4 w-4 shrink-0"})});var span=sibling(node_8,2),text_2=child(span,!0);reset(span),reset(button),template_effect(()=>set_text(text_2,
+get$3(item).label)),delegated("click",button,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor7,button)},consequent_1=$$anchor7=>{var fragment_4=comment$2(),node_9=first_child(fragment_4);component(node_9,()=>Root$5,($$anchor8,Tooltip_Root)=>{Tooltip_Root($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_5=root_9$k(),node_10=first_child(fragment_5);component(node_10,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger)=>{Tooltip_Trigger(
+$$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_1=root_10$d();set_class(button_1,1,clsx(sheetItemClass));var node_11=child(button_1);component(node_11,()=>get$3(item).icon,($$anchor12,item_icon_1)=>{item_icon_1($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_1=sibling(node_11,2),text_3=child(span_1,!0);reset(span_1),reset(button_1),template_effect(()=>set_text(text_3,get$3(item).label)),append($$anchor11,button_1)},$$slots:{default:!0}})});var node_12=sibling(node_10,2);component(node_12,
+()=>Tooltip_content,($$anchor10,Tooltip_Content)=>{Tooltip_Content($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p2=root_11$d(),text_4=child(p2,!0);reset(p2),template_effect(()=>set_text(text_4,get$3(item).disabledTooltip)),append($$anchor11,p2)},$$slots:{default:!0}})}),append($$anchor9,fragment_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)};if_block(node_7,$$render=>{get$3(enabled)?$$render(consequent):get$3(item).disabledTooltip&&$$render(consequent_1,1)})}append(
+$$anchor6,fragment_3)});var node_13=sibling(node_6,2);{var consequent_3=$$anchor6=>{const pdfItem=user_derived(()=>ATTACHMENT_FILE_ITEMS.find(i=>i.id===AttachmentMenuItemId.PDF));var fragment_6=comment$2(),node_14=first_child(fragment_6);{var consequent_2=$$anchor7=>{var fragment_7=comment$2(),node_15=first_child(fragment_7);component(node_15,()=>Root$5,($$anchor8,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_8=root_14$6(),
+node_16=first_child(fragment_8);component(node_16,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_2=root_15$9();set_class(button_2,1,clsx(sheetItemClass));var node_17=child(button_2);component(node_17,()=>get$3(pdfItem).icon,($$anchor12,pdfItem_icon)=>{pdfItem_icon($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_2=sibling(node_17,2),text_5=child(span_2,!0);reset(span_2),reset(button_2),template_effect(()=>set_text(
+text_5,get$3(pdfItem).label)),delegated("click",button_2,()=>attachmentMenu.callbacks[get$3(pdfItem).action]()),append($$anchor11,button_2)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor10,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{var p_1=root_16$4();append($$anchor11,p_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_8)},$$slots:{default:!0}})}),append($$anchor7,fragment_7)};
+if_block(node_14,$$render=>{get$3(pdfItem)&&$$render(consequent_2)})}append($$anchor6,fragment_6)},d2=user_derived(()=>!attachmentMenu.isItemEnabled("hasVisionModality"));if_block(node_13,$$render=>{get$3(d2)&&$$render(consequent_3)})}var node_19=sibling(node_13,2);each(node_19,17,()=>ATTACHMENT_EXTRA_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_9=comment$2(),node_20=first_child(fragment_9);{var consequent_4=$$anchor7=>{var fragment_10=comment$2(),node_21=first_child(fragment_10);component(
+node_21,()=>Root$5,($$anchor8,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor8,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor9,$$slotProps3)=>{var fragment_11=root_19$9(),node_22=first_child(fragment_11);component(node_22,()=>Tooltip_trigger,($$anchor10,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor10,{children:($$anchor11,$$slotProps4)=>{var button_3=root_20$3();set_class(button_3,1,clsx(sheetItemClass));var node_23=child(button_3);component(node_23,()=>get$3(item).icon,($$anchor12,item_icon_2)=>{
+item_icon_2($$anchor12,{class:"h-4 w-4 shrink-0"})});var span_3=sibling(node_23,2),text_6=child(span_3,!0);reset(span_3),reset(button_3),template_effect(()=>set_text(text_6,get$3(item).label)),delegated("click",button_3,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor11,button_3)},$$slots:{default:!0}})});var node_24=sibling(node_22,2);component(node_24,()=>Tooltip_content,($$anchor10,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor10,{side:"right",children:($$anchor11,$$slotProps4)=>{
+var p_2=root_21$4(),text_7=child(p_2,!0);reset(p_2),template_effect($0=>set_text(text_7,$0),[()=>attachmentMenu.getSystemMessageTooltip()]),append($$anchor11,p_2)},$$slots:{default:!0}})}),append($$anchor9,fragment_11)},$$slots:{default:!0}})}),append($$anchor7,fragment_10)};if_block(node_20,$$render=>{get$3(item).id===AttachmentMenuItemId.SYSTEM_MESSAGE&&$$render(consequent_4)})}append($$anchor6,fragment_9)});var a=sibling(node_19,4),node_25=child(a);McpLogo(node_25,{class:"inline h-4 w-4"}),next$1(
+2),reset(a);var a_1=sibling(a,2),node_26=child(a_1);Pencil_ruler(node_26,{class:"inline h-4 w-4"}),next$1(2),reset(a_1);var node_27=sibling(a_1,2);each(node_27,17,()=>ATTACHMENT_MCP_ITEMS,item=>item.id,($$anchor6,item)=>{var fragment_12=comment$2(),node_28=first_child(fragment_12);{var consequent_5=$$anchor7=>{var button_4=root_23$4();set_class(button_4,1,clsx(sheetItemClass));var node_29=child(button_4);component(node_29,()=>get$3(item).icon,($$anchor8,item_icon_3)=>{item_icon_3($$anchor8,{class:"\
+h-4 w-4 shrink-0"})});var span_4=sibling(node_29,2),text_8=child(span_4,!0);reset(span_4),reset(button_4),template_effect(()=>set_text(text_8,get$3(item).label)),delegated("click",button_4,()=>attachmentMenu.callbacks[get$3(item).action]()),append($$anchor7,button_4)},d_12=user_derived(()=>attachmentMenu.isItemVisible(get$3(item).visibleWhen));if_block(node_28,$$render=>{get$3(d_12)&&$$render(consequent_5)})}append($$anchor6,fragment_12)}),reset(div_1),append($$anchor5,fragment_1)},$$slots:{default:!0}})}),
+append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div),pop()}delegate(["click"]);var root_3$O=from_html('<span class="sr-only"> </span> <!>',1),root_4$z=from_html("<p> </p>"),root_1$J=from_html("<!> <!>",1);function ChatFormActionAddButton($$anchor,$$props){let disabled=prop($$props,"disabled",3,!1);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{
+Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$J(),node_1=first_child(fragment_1);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{class:"w-full",children:($$anchor5,$$slotProps2)=>{Button($$anchor5,{class:"file-upload-button h-8 w-8 rounded-full p-0",get disabled(){return disabled()},get onclick(){return $$props.onclick},variant:"secondary",type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_3=root_3$O(),span=first_child(
+fragment_3),text2=child(span,!0);reset(span);var node_2=sibling(span,2);Plus(node_2,{class:"h-4 w-4"}),template_effect(()=>set_text(text2,ATTACHMENT_TOOLTIP_TEXT)),append($$anchor6,fragment_3)},$$slots:{default:!0}})},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var p2=root_4$z(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,ATTACHMENT_TOOLTIP_TEXT)),
+append($$anchor5,p2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment)}function ChatFormActionsAdd($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),hasMcpPromptsSupport=prop($$props,"hasMcpPromptsSupport",3,!1),hasMcpResourcesSupport=prop($$props,"hasMcpResourcesSupport",3,!1),hasVisionModality=prop($$props,"hasVisionModality",3,!1);const isMobile=new IsMobile;
+var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{ChatFormActionAddSheet($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return hasAudioModality()},get hasVisionModality(){return hasVisionModality()},get hasMcpPromptsSupport(){return hasMcpPromptsSupport()},get hasMcpResourcesSupport(){return hasMcpResourcesSupport()},get onFileUpload(){return $$props.onFileUpload},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){
+return $$props.onMcpResourcesClick},trigger:($$anchor3,$$arg0)=>{let disabled2=()=>$$arg0?.().disabled,onclick=()=>$$arg0?.().onclick;ChatFormActionAddButton($$anchor3,{get disabled(){return disabled2()},get onclick(){return onclick()}})},$$slots:{trigger:!0}})},alternate=$$anchor2=>{ChatFormActionAddDropdown($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return hasAudioModality()},get hasVisionModality(){return hasVisionModality()},get hasMcpPromptsSupport(){return hasMcpPromptsSupport()},
+get hasMcpResourcesSupport(){return hasMcpResourcesSupport()},get onFileUpload(){return $$props.onFileUpload},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){return $$props.onMcpResourcesClick},get onMcpSettingsClick(){return $$props.onMcpSettingsClick},get onSystemPromptClick(){return $$props.onSystemPromptClick},trigger:$$anchor3=>{ChatFormActionAddButton($$anchor3,{get disabled(){return disabled()}})},$$slots:{trigger:!0}})};if_block(node2,$$render=>{isMobile.
+current?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$N=from_html('<span class="sr-only"> </span> <!>',1),root_7$q=from_html("<p>Current model does not support audio</p>"),root_1$I=from_html("<!> <!>",1),root$1o=from_html("<div><!></div>");function ChatFormActionRecord($$anchor,$$props){let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),hasAudioModality=prop($$props,"hasAudioModality",3,!1),isLoading2=prop($$props,"isLoading",
+3,!1),isRecording=prop($$props,"isRecording",3,!1);var div=root$1o(),node2=child(div);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment=root_1$I(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{{let $0=user_derived(()=>isRecording()?"animate-pulse bg-red-500 text-white hover:bg-red-600":""),$1=user_derived(()=>disabled()||
+isLoading2()||!hasAudioModality());Button($$anchor5,{get class(){return`h-8 w-8 rounded-full p-0 ${get$3($0)??""}`},get disabled(){return get$3($1)},get onclick(){return $$props.onMicClick},type:"button",children:($$anchor6,$$slotProps3)=>{var fragment_2=root_3$N(),span=first_child(fragment_2),text2=child(span,!0);reset(span);var node_2=sibling(span,2);{var consequent=$$anchor7=>{Square($$anchor7,{class:"h-4 w-4 animate-pulse fill-white"})},alternate=$$anchor7=>{Mic($$anchor7,{class:"h-4 w-4"})};
+if_block(node_2,$$render=>{isRecording()?$$render(consequent):$$render(alternate,-1)})}template_effect(()=>set_text(text2,isRecording()?"Stop recording":"Start recording")),append($$anchor6,fragment_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})});var node_3=sibling(node_1,2);{var consequent_1=$$anchor4=>{var fragment_5=comment$2(),node_4=first_child(fragment_5);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{
+var p2=root_7$q();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_5)};if_block(node_3,$$render=>{hasAudioModality()||$$render(consequent_1)})}append($$anchor3,fragment)},$$slots:{default:!0}})}),reset(div),template_effect(()=>set_class(div,1,`flex items-center gap-1 ${className()??""}`)),append($$anchor,div)}var root_1$H=from_html('<div class="mr-auto flex items-center gap-2"><!></div>'),root_4$y=from_html('<span class="sr-only">Stop</span> <!>',1),root$1n=from_html('<di\
+v style="container-type: inline-size"><!> <!> <!></div>');function ChatFormActions($$anchor,$$props){push$1($$props,!0);let canSend=prop($$props,"canSend",3,!1),canSubmit=prop($$props,"canSubmit",3,!1),className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),isLoading2=prop($$props,"isLoading",3,!1),isRecording=prop($$props,"isRecording",3,!1),showAddButton=prop($$props,"showAddButton",3,!0),showModelSelector=prop($$props,"showModelSelector",3,!0),uploadedFiles=prop($$props,"u\
+ploadedFiles",19,()=>[]),currentConfig=user_derived(config$1),hasMcpPromptsSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasPromptsCapability(perChatOverrides)}),hasMcpResourcesSupport=user_derived(()=>{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();return mcpStore.hasResourcesCapability(perChatOverrides)}),hasAudioModality=state$1(!1),hasVisionModality=state$1(!1),hasModelSelected=state$1(!1),isSelectedModelInCache=state$1(
+!0),submitTooltip=state$1(""),hasAudioAttachments=user_derived(()=>uploadedFiles().some(file=>getFileTypeCategory(file.type)===FileTypeCategory.AUDIO)),shouldShowRecordButton=user_derived(()=>get$3(hasAudioModality)&&!canSubmit()&&!get$3(hasAudioAttachments)&&get$3(currentConfig).autoMicOnEmpty),selectorModelRef=state$1(void 0);function openModelSelector(){get$3(selectorModelRef)?.open()}var $$exports={openModelSelector},div=root$1n(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$H(),
+node_1=child(div_1);ChatFormActionsAdd(node_1,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get hasVisionModality(){return get$3(hasVisionModality)},get hasMcpPromptsSupport(){return get$3(hasMcpPromptsSupport)},get hasMcpResourcesSupport(){return get$3(hasMcpResourcesSupport)},get onFileUpload(){return $$props.onFileUpload},get onSystemPromptClick(){return $$props.onSystemPromptClick},get onMcpPromptClick(){return $$props.onMcpPromptClick},get onMcpResourcesClick(){
+return $$props.onMcpResourcesClick},onMcpSettingsClick:()=>goto("#/settings/mcp")}),reset(div_1),append($$anchor2,div_1)};if_block(node2,$$render=>{showAddButton()&&$$render(consequent)})}var node_2=sibling(node2,2);{var consequent_1=$$anchor2=>{bind_this(ChatFormActionModels($$anchor2,{get disabled(){return disabled()},forceForegroundText:!0,useGlobalSelection:!0,get hasAudioModality(){return get$3(hasAudioModality)},set hasAudioModality($$value){set$1(hasAudioModality,$$value,!0)},get hasVisionModality(){
+return get$3(hasVisionModality)},set hasVisionModality($$value){set$1(hasVisionModality,$$value,!0)},get hasModelSelected(){return get$3(hasModelSelected)},set hasModelSelected($$value){set$1(hasModelSelected,$$value,!0)},get isSelectedModelInCache(){return get$3(isSelectedModelInCache)},set isSelectedModelInCache($$value){set$1(isSelectedModelInCache,$$value,!0)},get submitTooltip(){return get$3(submitTooltip)},set submitTooltip($$value){set$1(submitTooltip,$$value,!0)}}),$$value=>set$1(selectorModelRef,
+$$value,!0),()=>get$3(selectorModelRef))};if_block(node_2,$$render=>{showModelSelector()&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{Button($$anchor2,{type:"button",variant:"secondary",get onclick(){return $$props.onStop},class:"group h-8 w-8 rounded-full p-0 hover:bg-destructive/10!",children:($$anchor3,$$slotProps)=>{var fragment_2=root_4$y(),node_4=sibling(first_child(fragment_2),2);Square(node_4,{class:"h-8 w-8 fill-muted-foreground stroke-muted-foreg\
+round group-hover:fill-destructive group-hover:stroke-destructive hover:fill-destructive hover:stroke-destructive"}),append($$anchor3,fragment_2)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{ChatFormActionRecord($$anchor2,{get disabled(){return disabled()},get hasAudioModality(){return get$3(hasAudioModality)},get isLoading(){return isLoading2()},get isRecording(){return isRecording()},get onMicClick(){return $$props.onMicClick}})},alternate=$$anchor2=>{{let $0=user_derived(()=>canSend()&&(showModelSelector()?
+get$3(hasModelSelected)&&get$3(isSelectedModelInCache):!0)),$1=user_derived(()=>showModelSelector()&&get$3(hasModelSelected)&&!get$3(isSelectedModelInCache));ChatFormActionSubmit($$anchor2,{get canSend(){return get$3($0)},get disabled(){return disabled()},get tooltipLabel(){return get$3(submitTooltip)},get showErrorState(){return get$3($1)}})}};if_block(node_3,$$render=>{isLoading2()&&!canSubmit()?$$render(consequent_2):get$3(shouldShowRecordButton)?$$render(consequent_3,1):$$render(alternate,-1)})}
+return reset(div),template_effect(()=>set_class(div,1,`flex w-full items-center gap-3 ${className()??""} ${showAddButton()?"":"justify-end"}`)),append($$anchor,div),pop($$exports)}var root_2$_=from_html('<span class="sr-only">Send</span> <!>',1),root_6$s=from_html("<p> </p>"),root_4$x=from_html("<!> <!>",1);function ChatFormActionSubmit($$anchor,$$props){const submitButton=($$anchor2,$$arg0)=>{let props=derived_safe_equal(()=>fallback($$arg0?.(),()=>({}),!0));{let $0=user_derived(()=>["h-8 w-8 r\
+ounded-full p-0",showErrorState()&&"bg-red-400/10 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100"]);Button($$anchor2,spread_props({type:"submit",get disabled(){return get$3(isDisabled)},get class(){return get$3($0)}},()=>get$3(props),{children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$_(),node2=sibling(first_child(fragment_1),2);Arrow_up(node2,{class:"h-12 w-12"}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))}};let canSend=prop($$props,"canSend",3,!1),disabled=prop(
+$$props,"disabled",3,!1),showErrorState=prop($$props,"showErrorState",3,!1),isDisabled=user_derived(()=>!canSend()||disabled());var fragment_2=comment$2(),node_1=first_child(fragment_2);{var consequent=$$anchor2=>{var fragment_3=comment$2(),node_2=first_child(fragment_3);component(node_2,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$x(),node_3=first_child(fragment_4);component(node_3,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{
+Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{submitButton($$anchor6)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$s(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_3)},
+alternate=$$anchor2=>{submitButton($$anchor2)};if_block(node_1,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment_2)}function ChatFormActionModels($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),hasAudioModality=prop($$props,"hasAudioModality",15,!1),hasVisionModality=prop($$props,"hasVisionModality",15,!1),hasModelSelected=prop($$props,"hasModelSelecte\
+d",15,!1),isSelectedModelInCache=prop($$props,"isSelectedModelInCache",15,!0),submitTooltip=prop($$props,"submitTooltip",15,""),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),isRouter=user_derived(isRouterMode),isOffline=user_derived(()=>!!serverError()),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),lastSyncedConversationModel=null;user_effect(()=>{if(get$3(conversationModel)&&get$3(conversationModel)!==lastSyncedConversationModel)lastSyncedConversationModel=
+get$3(conversationModel),modelsStore.selectModelByName(get$3(conversationModel));else if(get$3(isRouter)&&!modelsStore.selectedModelId&&modelsStore.loadedModelIds.length>0){lastSyncedConversationModel=null;const first=modelOptions().find(m=>modelsStore.loadedModelIds.includes(m.model));first&&modelsStore.selectModelById(first.id)}});let activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();
+if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}return null}),modelPropsVersion=state$1(0);user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))}),user_effect(()=>{hasAudioModality(get$3(activeModelId)?modelsStore.
+modelSupportsAudio(get$3(activeModelId)):!1)}),user_effect(()=>{get$3(modelPropsVersion),hasVisionModality(get$3(activeModelId)?modelsStore.modelSupportsVision(get$3(activeModelId)):!1)}),user_effect(()=>{hasModelSelected(!get$3(isRouter)||!!get$3(conversationModel)||!!selectedModelId())}),user_effect(()=>{if(!get$3(isRouter))isSelectedModelInCache(!0);else if(get$3(conversationModel))isSelectedModelInCache(modelOptions().some(option2=>option2.model===get$3(conversationModel)));else{const currentModelId=selectedModelId();
+isSelectedModelInCache(currentModelId?modelOptions().some(option2=>option2.id===currentModelId):!1)}}),user_effect(()=>{hasModelSelected()?isSelectedModelInCache()?submitTooltip(""):submitTooltip("Selected model is not available, please select another"):submitTooltip("Please select a model first")});let selectorModelRef=state$1(void 0),isMobile=new IsMobile;function open2(){get$3(selectorModelRef)?.open()}var $$exports={open:open2},fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{
+{let $0=user_derived(()=>disabled()||get$3(isOffline));bind_this(ModelsSelectorSheet($$anchor2,{get disabled(){return get$3($0)},get currentModel(){return $$props.currentModel},get forceForegroundText(){return forceForegroundText()},get useGlobalSelection(){return useGlobalSelection()}}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}},alternate=$$anchor2=>{{let $0=user_derived(()=>disabled()||get$3(isOffline));bind_this(ModelsSelectorDropdown($$anchor2,{get disabled(){
+return get$3($0)},get currentModel(){return $$props.currentModel},get forceForegroundText(){return forceForegroundText()},get useGlobalSelection(){return useGlobalSelection()}}),$$value=>set$1(selectorModelRef,$$value,!0),()=>get$3(selectorModelRef))}};if_block(node2,$$render=>{isMobile.current?$$render(consequent):$$render(alternate,-1)})}return append($$anchor,fragment),pop($$exports)}function Collapsible($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,
+"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible$1,($$anchor2,CollapsiblePrimitive_Root)=>{CollapsiblePrimitive_Root($$anchor2,spread_props({"data-slot":"collapsible"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Collapsible_trigger($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_trigger$1,($$anchor2,CollapsiblePrimitive_Trigger)=>{CollapsiblePrimitive_Trigger($$anchor2,spread_props({"data-slot":"collapsible-trigger"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function Collapsible_content($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible_content$1,($$anchor2,CollapsiblePrimitive_Content)=>{CollapsiblePrimitive_Content($$anchor2,spread_props({"data-slot":"collapsible-content"},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))}),append($$anchor,fragment),pop()}function useToolsPanel(){const expandedGroups=new SvelteSet,
+groups=user_derived(()=>toolsStore.toolGroups),activeGroups=user_derived(()=>get$3(groups).filter(g=>g.source!==ToolSource.MCP||!g.serverId||conversationsStore.isMcpServerEnabledForChat(g.serverId))),totalToolCount=user_derived(()=>get$3(activeGroups).reduce((n,g)=>n+g.tools.length,0)),noToolsInfoMessage=user_derived(()=>toolsStore.loading||toolsStore.toolGroups.length>0?null:toolsStore.isToolsEndpointUnreachable?"To enable Built-In Tools you need to run llama-server with --tools all or --tools \
+<name> flag. To see MCP Tools you need to add / enable MCP Server(s).":toolsStore.error?null:"To enable Built-In Tools you need to run llama-server with --tools all or --tools <name> flag. To see MCP Tools you need to add / enable MCP Server(s).");function getGroupCheckedState(group){return{checked:toolsStore.isGroupFullyEnabled(group),indeterminate:toolsStore.isGroupPartiallyEnabled(group)}}function getEnabledToolCount(group){return group.tools.filter(tool=>toolsStore.isToolEnabled(tool.function.
+name)).length}function getFavicon(group){if(group.source!==ToolSource.MCP)return null;for(const server of mcpStore.getServersSorted())if(mcpStore.getServerLabel(server)===group.label)return mcpStore.getServerFavicon(server.id);return null}function isGroupDisabled(group){return group.source===ToolSource.MCP&&!!group.serverId&&!conversationsStore.isMcpServerEnabledForChat(group.serverId)}function toggleGroupExpanded(label){expandedGroups.has(label)?expandedGroups.delete(label):expandedGroups.add(label)}
+function handleOpen(){toolsStore.builtinTools.length===0&&!toolsStore.loading&&toolsStore.fetchBuiltinTools(),mcpStore.runHealthChecksForServers(mcpStore.getServersSorted().filter(s2=>s2.enabled))}return{expandedGroups,get groups(){return get$3(groups)},get activeGroups(){return get$3(activeGroups)},get totalToolCount(){return get$3(totalToolCount)},get noToolsInfoMessage(){return get$3(noToolsInfoMessage)},getGroupCheckedState,getEnabledToolCount,getFavicon,isGroupDisabled,toggleGroupExpanded,handleOpen}}
+var root_2$Z=from_html("<!> <span>Tools</span>",1),root_5$s=from_html('<div class="px-3 py-4 text-center text-sm text-muted-foreground"><!> Loading tools...</div>'),root_6$r=from_html('<div class="grid gap-2.5 px-3 py-4 text-sm text-muted-foreground"><span class="flex gap-2"><!> <span>Run llama-server with <code>--tools</code> flag to enable <strong>Built-in Tools</strong>.</span></span> <span class="flex gap-2"><!> <span> <strong>MCP Tools</strong>.</span></span></div>'),root_7$p=from_html('<di\
+v class="px-3 py-4 text-center text-sm text-muted-foreground">Failed to load tools</div>'),root_8$p=from_html('<div class="flex gap-2 px-3 py-4 text-sm text-muted-foreground"><!> <span> </span></div>'),root_9$j=from_html('<div class="px-3 py-4 text-center text-sm text-muted-foreground">No tools available</div>'),root_16$3=from_html('<img alt="" class="h-4 w-4 shrink-0 rounded-sm"/>'),root_13$a=from_html('<!> <span class="inline-flex min-w-0 items-center gap-1.5 font-medium"><!> <span class="trun\
+cate"> </span></span> <span class="ml-auto shrink-0 text-xs text-muted-foreground"> </span>',1),root_19$8=from_html("<p> </p>"),root_17$7=from_html("<!> <!>",1),root_21$3=from_html('<button type="button" class="flex w-full items-center gap-2 rounded px-2 py-1.5 text-left text-sm transition-colors hover:bg-muted/50"><!> <span class="min-w-0 flex-1 truncate font-mono text-[12px]"> </span></button>'),root_20$2=from_html('<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2"></div>'),
+root_12$8=from_html('<div class="flex items-center gap-1"><!> <!></div> <!>',1),root_10$c=from_html('<div class="max-h-80 overflow-y-auto p-2 pr-1"></div>'),root_1$G=from_html("<!> <!>",1);function ChatFormActionAddToolsSubmenu($$anchor,$$props){push$1($$props,!0);const toolsPanel=useToolsPanel(),hasMcpServersAvailable=user_derived(()=>mcpStore.getServersSorted().length>0);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Sub,($$anchor2,DropdownMenu_Sub)=>{DropdownMenu_Sub(
+$$anchor2,{onOpenChange:open2=>open2&&toolsPanel.handleOpen(),children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$G(),node_1=first_child(fragment_1);component(node_1,()=>Dropdown_menu_sub_trigger,($$anchor4,DropdownMenu_SubTrigger)=>{DropdownMenu_SubTrigger($$anchor4,{class:"flex cursor-pointer items-center gap-2",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Z(),node_2=first_child(fragment_2);Pencil_ruler(node_2,{class:"h-4 w-4"}),next$1(2),append($$anchor5,fragment_2)},$$slots:{
+default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Dropdown_menu_sub_content,($$anchor4,DropdownMenu_SubContent)=>{DropdownMenu_SubContent($$anchor4,{class:"w-72 p-0",children:($$anchor5,$$slotProps2)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);{var consequent_4=$$anchor6=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent=$$anchor7=>{var div=root_5$s(),node_6=child(div);Loader_circle(node_6,{class:"mx-auto mb-1 h-4 w-4 animate-spin"}),next$1(),
+reset(div),append($$anchor7,div)},consequent_1=$$anchor7=>{var div_1=root_6$r(),span=child(div_1),node_7=child(span);Info$1(node_7,{class:"mt-0.5 h-4 w-4 shrink-0"}),next$1(2),reset(span);var span_1=sibling(span,2),node_8=child(span_1);Info$1(node_8,{class:"mt-0.5 h-4 w-4 shrink-0"});var span_2=sibling(node_8,2),text2=child(span_2);next$1(2),reset(span_2),reset(span_1),reset(div_1),template_effect(()=>set_text(text2,`${get$3(hasMcpServersAvailable)?"Enable":"Add"} MCP Server(s) to access `)),append(
+$$anchor7,div_1)},consequent_2=$$anchor7=>{var div_2=root_7$p();append($$anchor7,div_2)},consequent_3=$$anchor7=>{var div_3=root_8$p(),node_9=child(div_3);Info$1(node_9,{class:"mt-0.5 h-4 w-4 shrink-0"});var span_3=sibling(node_9,2),text_1=child(span_3,!0);reset(span_3),reset(div_3),template_effect(()=>set_text(text_1,toolsPanel.noToolsInfoMessage)),append($$anchor7,div_3)},alternate=$$anchor7=>{var div_4=root_9$j();append($$anchor7,div_4)};if_block(node_5,$$render=>{toolsStore.loading?$$render(
+consequent):toolsStore.isToolsEndpointUnreachable?$$render(consequent_1,1):toolsStore.error?$$render(consequent_2,2):toolsPanel.noToolsInfoMessage?$$render(consequent_3,3):$$render(alternate,-1)})}append($$anchor6,fragment_4)},alternate_2=$$anchor6=>{var div_5=root_10$c();each(div_5,21,()=>toolsPanel.activeGroups,group=>group.label,($$anchor7,group)=>{const isExpanded=user_derived(()=>toolsPanel.expandedGroups.has(get$3(group).label)),computed_const=user_derived(()=>{const{checked,indeterminate}=toolsPanel.
+getGroupCheckedState(get$3(group));return{checked,indeterminate}}),favicon=user_derived(()=>toolsPanel.getFavicon(get$3(group)));var fragment_5=comment$2(),node_10=first_child(fragment_5);component(node_10,()=>Collapsible,($$anchor8,Collapsible_Root)=>{Collapsible_Root($$anchor8,{get open(){return get$3(isExpanded)},onOpenChange:()=>toolsPanel.toggleGroupExpanded(get$3(group).label),children:($$anchor9,$$slotProps3)=>{var fragment_6=root_12$8(),div_6=first_child(fragment_6),node_11=child(div_6);
+component(node_11,()=>Collapsible_trigger,($$anchor10,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor10,{class:"flex min-w-0 flex-1 items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50",children:($$anchor11,$$slotProps4)=>{var fragment_7=root_13$a(),node_12=first_child(fragment_7);{var consequent_5=$$anchor12=>{Chevron_down($$anchor12,{class:"h-3.5 w-3.5 shrink-0"})},alternate_1=$$anchor12=>{Chevron_right($$anchor12,{class:"h-3.5 w-3.5 shrink-0"})};if_block(node_12,$$render=>{get$3(
+isExpanded)?$$render(consequent_5):$$render(alternate_1,-1)})}var span_4=sibling(node_12,2),node_13=child(span_4);{var consequent_6=$$anchor12=>{var img=root_16$3();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor12,img)};if_block(node_13,$$render=>{get$3(favicon)&&$$render(consequent_6)})}var span_5=sibling(node_13,2),text_2=child(span_5,!0);reset(span_5),reset(span_4);var span_6=sibling(
+span_4,2),text_3=child(span_6);reset(span_6),template_effect($0=>{set_text(text_2,get$3(group).label),set_text(text_3,`${$0??""}/${get$3(group).tools.length??""}`)},[()=>toolsPanel.getEnabledToolCount(get$3(group))]),append($$anchor11,fragment_7)},$$slots:{default:!0}})});var node_14=sibling(node_11,2);component(node_14,()=>Root$5,($$anchor10,Tooltip_Root)=>{Tooltip_Root($$anchor10,{children:($$anchor11,$$slotProps4)=>{var fragment_10=root_17$7(),node_15=first_child(fragment_10);component(node_15,
+()=>Tooltip_trigger,($$anchor12,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor12,{children:($$anchor13,$$slotProps5)=>{Checkbox($$anchor13,{get checked(){return get$3(computed_const).checked},get indeterminate(){return get$3(computed_const).indeterminate},onCheckedChange:()=>toolsStore.toggleGroup(get$3(group)),class:"mr-2 h-4 w-4 shrink-0"})},$$slots:{default:!0}})});var node_16=sibling(node_15,2);component(node_16,()=>Tooltip_content,($$anchor12,Tooltip_Content)=>{Tooltip_Content($$anchor12,{side:"\
+right",children:($$anchor13,$$slotProps5)=>{var p2=root_19$8(),text_4=child(p2);reset(p2),template_effect(()=>set_text(text_4,`${get$3(computed_const).checked?"Disable":"Enable"}
+										${get$3(group).tools.length??""} tool${get$3(group).tools.length!==1?"s":""}`)),append($$anchor13,p2)},$$slots:{default:!0}})}),append($$anchor11,fragment_10)},$$slots:{default:!0}})}),reset(div_6);var node_17=sibling(div_6,2);component(node_17,()=>Collapsible_content,($$anchor10,Collapsible_Content)=>{Collapsible_Content($$anchor10,{children:($$anchor11,$$slotProps4)=>{var div_7=root_20$2();each(div_7,21,()=>get$3(group).tools,tool=>tool.function.name,($$anchor12,tool)=>{var button=root_21$3(),
+node_18=child(button);{let $0=user_derived(()=>toolsStore.isToolEnabled(get$3(tool).function.name));Checkbox(node_18,{get checked(){return get$3($0)},onCheckedChange:()=>toolsStore.toggleTool(get$3(tool).function.name),class:"h-4 w-4 shrink-0"})}var span_7=sibling(node_18,2),text_5=child(span_7,!0);reset(span_7),reset(button),template_effect(()=>set_text(text_5,get$3(tool).function.name)),delegated("click",button,()=>toolsStore.toggleTool(get$3(tool).function.name)),append($$anchor12,button)}),reset(
+div_7),append($$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)}),reset(div_5),append($$anchor6,div_5)};if_block(node_4,$$render=>{toolsPanel.totalToolCount===0?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);function Switch($$anchor,$$props){push$1($$props,
+!0);let ref2=prop($$props,"ref",15,null),checked=prop($$props,"checked",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","checked"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("peer inline-flex h-[1.15rem] w-8 shrink-0 cursor-pointer items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allo\
+wed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input dark:data-[state=unchecked]:bg-input/80",$$props.class));component(node2,()=>Switch$1,($$anchor2,SwitchPrimitive_Root)=>{SwitchPrimitive_Root($$anchor2,spread_props({"data-slot":"switch",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},get checked(){return checked()},set checked($$value){checked($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),
+node_1=first_child(fragment_1);{let $02=user_derived(()=>cn$1("pointer-events-none block size-4 rounded-full bg-background ring-0 transition-transform data-[state=checked]:translate-x-[calc(100%-2px)] data-[state=unchecked]:translate-x-0 dark:data-[state=checked]:bg-primary-foreground dark:data-[state=unchecked]:bg-foreground"));component(node_1,()=>Switch_thumb,($$anchor4,SwitchPrimitive_Thumb)=>{SwitchPrimitive_Thumb($$anchor4,{"data-slot":"switch-thumb",get class(){return get$3($02)}})})}append(
+$$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_3$M=from_html("<!> <span>MCP Servers</span>",1),root_7$o=from_html("<!> <span>Manage MCP Servers</span>",1),root_10$b=from_html('<span class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive">Error</span>'),root_9$i=from_html('<button type="button" class="flex w-full items-center justify-between gap-2 rounded-sm px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-n\
+ot-allowed disabled:opacity-50"><div class="flex min-w-0 flex-1 items-center gap-2"><div class="min-w-0 flex-1"><!></div> <!></div> <!></button>'),root_8$o=from_html('<div class="max-h-64 overflow-y-auto"></div>'),root_12$7=from_html("<!> <span>Add MCP Servers</span>",1),root_11$c=from_html('<div class="px-2 py-3 text-center text-sm text-muted-foreground">No MCP servers configured</div> <!> <!>',1),root_2$Y=from_html("<!> <!>",1);function ChatFormActionAddMcpServersSubmenu($$anchor,$$props){push$1(
+$$props,!0);let mcpSearchQuery=state$1(""),allMcpServers=user_derived(()=>mcpStore.getServersSorted()),mcpServers=user_derived(()=>get$3(allMcpServers).filter(s2=>s2.enabled)),hasMcpServers=user_derived(()=>get$3(mcpServers).length>0),filteredMcpServers=user_derived(()=>{const query=get$3(mcpSearchQuery).toLowerCase().trim();return query?get$3(mcpServers).filter(s2=>{const name=getServerLabel(s2).toLowerCase(),url2=s2.url.toLowerCase();return name.includes(query)||url2.includes(query)}):get$3(mcpServers)});
+function getServerLabel(server){return mcpStore.getServerLabel(server)}function isServerEnabledForChat(serverId){return conversationsStore.isMcpServerEnabledForChat(serverId)}async function toggleServerForChat(serverId){await conversationsStore.toggleMcpServerForChat(serverId)}function handleMcpSubMenuOpen(open2){open2&&(set$1(mcpSearchQuery,""),mcpStore.runHealthChecksForServers(get$3(allMcpServers)))}function handleMcpSettingsClick(){$$props.onMcpSettingsClick?.(),goto(`${get$3(hasMcpServers)?
+"":"?add"}#/settings/mcp`)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Sub,($$anchor4,DropdownMenu_Sub)=>{DropdownMenu_Sub($$anchor4,{onOpenChange:handleMcpSubMenuOpen,children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$Y(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_sub_trigger,
+($$anchor6,DropdownMenu_SubTrigger)=>{DropdownMenu_SubTrigger($$anchor6,{class:"flex cursor-pointer items-center gap-2",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$M(),node_3=first_child(fragment_3);McpLogo(node_3,{class:"h-4 w-4"}),next$1(2),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Dropdown_menu_sub_content,($$anchor6,DropdownMenu_SubContent)=>{DropdownMenu_SubContent($$anchor6,{class:"w-72 pt-0",children:($$anchor7,$$slotProps3)=>{
+var fragment_4=comment$2(),node_5=first_child(fragment_4);{var consequent_1=$$anchor8=>{{const footer2=$$anchor9=>{var fragment_6=comment$2(),node_6=first_child(fragment_6);component(node_6,()=>Dropdown_menu_item,($$anchor10,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor10,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpSettingsClick,children:($$anchor11,$$slotProps4)=>{var fragment_7=root_7$o(),node_7=first_child(fragment_7);Settings$1(node_7,{class:"h-4 w-4"}),next$1(2),append(
+$$anchor11,fragment_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)};let $0=user_derived(()=>get$3(filteredMcpServers).length===0);DropdownMenuSearchable($$anchor8,{placeholder:"Search servers...",emptyMessage:"No servers found",get isEmpty(){return get$3($0)},get searchValue(){return get$3(mcpSearchQuery)},set searchValue($$value){set$1(mcpSearchQuery,$$value,!0)},footer:footer2,children:($$anchor9,$$slotProps4)=>{var div=root_8$o();each(div,21,()=>get$3(filteredMcpServers),server=>server.
+id,($$anchor10,server)=>{const healthState=user_derived(()=>mcpStore.getHealthCheckState(get$3(server).id)),hasError=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR),isEnabledForChat=user_derived(()=>isServerEnabledForChat(get$3(server).id)),displayName=user_derived(()=>getServerLabel(get$3(server))),faviconUrl=user_derived(()=>mcpStore.getServerFavicon(get$3(server).id));var button=root_9$i(),div_1=child(button),div_2=child(div_1),node_8=child(div_2);McpServerIdentity(node_8,
+{get displayName(){return get$3(displayName)},get faviconUrl(){return get$3(faviconUrl)},iconClass:"h-4 w-4",iconRounded:"rounded-sm",showVersion:!1,nameClass:"text-sm"}),reset(div_2);var node_9=sibling(div_2,2);{var consequent=$$anchor11=>{var span=root_10$b();append($$anchor11,span)};if_block(node_9,$$render=>{get$3(hasError)&&$$render(consequent)})}reset(div_1);var node_10=sibling(div_1,2);Switch(node_10,{get checked(){return get$3(isEnabledForChat)},get disabled(){return get$3(hasError)},onclick:e=>e.
+stopPropagation(),onCheckedChange:()=>toggleServerForChat(get$3(server).id)}),reset(button),template_effect(()=>button.disabled=get$3(hasError)),delegated("click",button,()=>!get$3(hasError)&&toggleServerForChat(get$3(server).id)),append($$anchor10,button)}),reset(div),append($$anchor9,div)},$$slots:{footer:!0,default:!0}})}},alternate=$$anchor8=>{var fragment_8=root_11$c(),node_11=sibling(first_child(fragment_8),2);component(node_11,()=>Dropdown_menu_separator,($$anchor9,DropdownMenu_Separator)=>{
+DropdownMenu_Separator($$anchor9,{})});var node_12=sibling(node_11,2);component(node_12,()=>Dropdown_menu_item,($$anchor9,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor9,{class:"flex cursor-pointer items-center gap-2",onclick:handleMcpSettingsClick,children:($$anchor10,$$slotProps4)=>{var fragment_9=root_12$7(),node_13=first_child(fragment_9);Plus(node_13,{class:"h-4 w-4"}),next$1(2),append($$anchor10,fragment_9)},$$slots:{default:!0}})}),append($$anchor8,fragment_8)};if_block(node_5,$$render=>{
+get$3(hasMcpServers)?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor7,fragment_4)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);var root$1m=from_html('<input type="file"/>');function ChatFormFileInputInvisible($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),multiple=prop($$props,"multiple",3,!0),fileInputElement;
+function click(){fileInputElement?.click()}function handleFileSelect(event2){const input=event2.target;input.files&&$$props.onFileSelect?.(Array.from(input.files))}var $$exports={click},input_1=root$1m();return bind_this(input_1,$$value=>fileInputElement=$$value,()=>fileInputElement),template_effect(()=>{input_1.multiple=multiple(),set_class(input_1,1,`hidden ${className()??""}`)}),delegated("change",input_1,handleFileSelect),append($$anchor,input_1),pop($$exports)}delegate(["change"]);var root_1$F=from_html(
+"<div><!></div>");function ChatFormMcpResourcesList($$anchor,$$props){push$1($$props,!0);const attachments=user_derived(mcpResourceAttachments),hasAttachments=user_derived(mcpHasResourceAttachments);function handleRemove(attachmentId){mcpStore.removeResourceAttachment(attachmentId)}function handleResourceClick(uri2){$$props.onResourceClick?.(uri2)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$F(),node_1=child(div);HorizontalScrollCarousel(node_1,
+{gapSize:"2",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,19,()=>get$3(attachments),attachment=>attachment.id,($$anchor4,attachment,i)=>{{let $0=user_derived(()=>get$3(i)===0?"ml-3":"");ChatAttachmentsListItemMcpResource($$anchor4,{get class(){return get$3($0)},get attachment(){return get$3(attachment)},onRemove:handleRemove,onclick:()=>handleResourceClick(get$3(attachment).resource.uri)})}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}),
+reset(div),template_effect(()=>set_class(div,1,clsx($$props.class))),append($$anchor2,div)};if_block(node2,$$render=>{get$3(hasAttachments)&&$$render(consequent)})}append($$anchor,fragment),pop()}var root$1l=from_html('<div><textarea style="max-height: var(--max-message-height);"></textarea></div>');function ChatFormTextarea($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),disabled=prop($$props,"disabled",3,!1),placeholder=prop($$props,"placeholder",3,"Ask anything..\
+."),value=prop($$props,"value",15,""),textareaElement;onMount$1(()=>{textareaElement&&(autoResizeTextarea(textareaElement),textareaElement.focus())});function getElement(){return textareaElement}function focus2(){textareaElement?.focus()}function resetHeight(){textareaElement&&(textareaElement.style.height="1rem")}var $$exports={getElement,focus:focus2,resetHeight},div=root$1l(),textarea=child(div);return remove_textarea_child(textarea),bind_this(textarea,$$value=>textareaElement=$$value,()=>textareaElement),
+reset(div),template_effect(()=>{set_class(div,1,`flex-1 ${className()??""}`),set_class(textarea,1,clsx(["text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0",disabled()&&"cursor-not-allowed"])),textarea.disabled=disabled(),set_attribute(textarea,"placeholder",placeholder())}),delegated("keydown",textarea,function(...$$args){$$props.onKeydown?.apply(this,$$args)}),delegated("input",
+textarea,event2=>{autoResizeTextarea(event2.currentTarget),$$props.onInput?.()}),event("paste",textarea,function(...$$args){$$props.onPaste?.apply(this,$$args)}),bind_value(textarea,value),append($$anchor,div),pop($$exports)}delegate(["keydown","input"]);const badgeVariants=tv({base:"focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex w-fit shrink-0 items-center justify-center gap-\
+1 overflow-hidden whitespace-nowrap rounded-md border px-2 py-0.5 text-xs font-medium transition-[color,box-shadow] focus-visible:ring-[3px] [&>svg]:pointer-events-none [&>svg]:size-3",variants:{variant:{default:"bg-primary text-primary-foreground [a&]:hover:bg-primary/90 border-transparent",secondary:"bg-secondary text-secondary-foreground [a&]:hover:bg-secondary/90 border-transparent",tertiary:"bg-foreground/15 dark:bg-foreground/10 text-foreground [a&]:hover:bg-foreground/25 border-transparen\
+t",destructive:"bg-destructive [a&]:hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/70 border-transparent text-white",outline:"text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground"}},defaultVariants:{variant:"default"}});function Badge($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),variant=prop($$props,"variant",3,"default"),restProps=rest_props($$props,["$$slots","$$events","$$legac\
+y","ref","href","class","variant","children"]);var fragment=comment$2(),node2=first_child(fragment);element$4(node2,()=>$$props.href?"a":"span",!1,($$element,$$anchor2)=>{bind_this($$element,$$value=>ref2($$value),()=>ref2()),attribute_effect($$element,$0=>({"data-slot":"badge",href:$$props.href,class:$0,...restProps}),[()=>cn$1(badgeVariants({variant:variant()}),$$props.class,"backdrop-blur-sm")]);var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3),
+append($$anchor2,fragment_1)}),append($$anchor,fragment),pop()}var root_2$X=from_html('<div class="p-4"><!> <!></div>');function ChatFormPickerMcpPrompts($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),prompts=state$1(proxy([])),isLoading2=state$1(!1),selectedPrompt=state$1(null),promptArgs=state$1(proxy({})),selectedIndex=state$1(0),internalSearchQuery=state$1(""),promptError=state$1(null),
+selectedIndexBeforeArgumentForm=state$1(null),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()?(loadPrompts(),set$1(selectedIndex,0)):(set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null))}),user_effect(()=>{get$3(filteredPrompts).
+length>0&&get$3(selectedIndex)>=get$3(filteredPrompts).length&&set$1(selectedIndex,0)});async function loadPrompts(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(prompts,[],!0);return}set$1(prompts,await mcpStore.getAllPrompts(),!0)}catch(error2){console.error("[ChatFormPickerMcpPrompts] Failed to load prompts:",error2),set$1(prompts,[],!0)}finally{set$1(isLoading2,!1)}}function handlePromptClick(prompt){
+const args=prompt.arguments??[];args.length>0?(set$1(selectedIndexBeforeArgumentForm,get$3(selectedIndex),!0),set$1(selectedPrompt,prompt,!0),set$1(promptArgs,{},!0),set$1(promptError,null),requestAnimationFrame(()=>{const firstInput=document.querySelector(`#arg-${args[0].name}`);firstInput&&firstInput.focus()})):executePrompt(prompt,{})}async function executePrompt(prompt,args){set$1(promptError,null);const placeholderId=uuid$1(),nonEmptyArgs=Object.fromEntries(Object.entries(args).filter(([,value])=>value.
+trim()!=="")),argsToPass=Object.keys(nonEmptyArgs).length>0?nonEmptyArgs:void 0;$$props.onPromptLoadStart?.(placeholderId,prompt,argsToPass),$$props.onClose?.();try{const result=await mcpStore.getPrompt(prompt.serverName,prompt.name,args);$$props.onPromptLoadComplete?.(placeholderId,result)}catch(error2){const errorMessage=error2 instanceof Error?error2.message:"Unknown error executing prompt";$$props.onPromptLoadError?.(placeholderId,errorMessage)}}function handleArgumentSubmit(event2){event2.preventDefault(),
+get$3(selectedPrompt)&&executePrompt(get$3(selectedPrompt),get$3(promptArgs))}const fetchCompletions=debounce(async(argName,value)=>{if(!get$3(selectedPrompt)||value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getPromptCompletions(get$3(selectedPrompt).serverName,get$3(selectedPrompt).name,argName,value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=
+filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=[]}catch(error2){console.error("[ChatFormPickerMcpPrompts] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){get$3(promptArgs)[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){get$3(promptArgs)[argName]=value,suggestions[argName]=[],set$1(
+activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){event2.preventDefault(),event2.stopPropagation(),handleCancelArgumentForm();return}argSuggestions.length===0||get$3(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),set$1(autocompleteIndex,Math.min(get$3(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),
+set$1(autocompleteIndex,Math.max(get$3(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$3(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$3(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$3(activeAutocomplete)===argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){(suggestions[argName]?.length??0)>0&&set$1(activeAutocomplete,
+argName,!0)}function handleCancelArgumentForm(){get$3(selectedIndexBeforeArgumentForm)!==null&&(set$1(selectedIndex,get$3(selectedIndexBeforeArgumentForm),!0),set$1(selectedIndexBeforeArgumentForm,null)),set$1(selectedPrompt,null),set$1(promptArgs,{},!0),set$1(promptError,null)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),get$3(selectedPrompt)?handleCancelArgumentForm():$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.
+preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredPrompts).length),!0):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),get$3(filteredPrompts).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredPrompts).length-1:get$3(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER&&!get$3(selectedPrompt)?(event2.preventDefault(),get$3(filteredPrompts)[get$3(selectedIndex)]&&handlePromptClick(get$3(filteredPrompts)[get$3(
+selectedIndex)]),!0):!1:!1}let filteredPrompts=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[server.id,index2])),sortedPrompts=[...get$3(prompts)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedPrompts.filter(prompt=>prompt.
+name.toLowerCase().includes(query)||prompt.title?.toLowerCase().includes(query)||prompt.description?.toLowerCase().includes(query)):sortedPrompts}),showSearchInput=user_derived(()=>get$3(prompts).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open prompt picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{
+var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent_1=$$anchor3=>{const prompt=user_derived(()=>get$3(selectedPrompt)),server=user_derived(()=>get$3(serverSettingsMap).get(get$3(prompt).serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):get$3(prompt).serverName);var div=root_2$X(),node_1=child(div);{const titleExtra=$$anchor4=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor5=>{Badge($$anchor5,{variant:"\
+secondary",children:($$anchor6,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,`${get$3(prompt).arguments.length??""} arg${get$3(prompt).arguments.length>1?"s":""}`)),append($$anchor6,text2)},$$slots:{default:!0}})};if_block(node_2,$$render=>{get$3(prompt).arguments?.length&&$$render(consequent)})}append($$anchor4,fragment_2)};let $0=user_derived(()=>get$3(prompt).title||get$3(prompt).name);ChatFormPickerItemHeader(node_1,{get server(){return get$3(server)},get serverLabel(){
+return get$3(serverLabel)},get title(){return get$3($0)},get description(){return get$3(prompt).description},titleExtra,$$slots:{titleExtra:!0}})}var node_3=sibling(node_1,2);ChatFormPromptPickerArgumentForm(node_3,{get prompt(){return get$3(selectedPrompt)},get promptArgs(){return get$3(promptArgs)},get suggestions(){return suggestions},get loadingSuggestions(){return loadingSuggestions},get activeAutocomplete(){return get$3(activeAutocomplete)},get autocompleteIndex(){return get$3(autocompleteIndex)},
+get promptError(){return get$3(promptError)},onArgInput:handleArgInput,onArgKeydown:handleArgKeydown,onArgBlur:handleArgBlur,onArgFocus:handleArgFocus,onSelectSuggestion:selectSuggestion,onSubmit:handleArgumentSubmit,onCancel:handleCancelArgumentForm}),reset(div),append($$anchor3,div)},alternate=$$anchor3=>{ChatFormPickerList($$anchor3,{get items(){return get$3(filteredPrompts)},get isLoading(){return get$3(isLoading2)},get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3(
+showSearchInput)},searchPlaceholder:"Search prompts...",emptyMessage:"No MCP prompts available",itemKey:prompt=>prompt.serverName+":"+prompt.name,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor4,prompt=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3(serverSettingsMap).get(prompt().serverName)),serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):prompt().
+serverName);ChatFormPickerListItem($$anchor4,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onclick:()=>handlePromptClick(prompt()),children:($$anchor5,$$slotProps2)=>{{const titleExtra=$$anchor6=>{var fragment_8=comment$2(),node_4=first_child(fragment_8);{var consequent_2=$$anchor7=>{Badge($$anchor7,{variant:"secondary",children:($$anchor8,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,`${prompt().arguments.length??""} arg${prompt().arguments.
+length>1?"s":""}`)),append($$anchor8,text_1)},$$slots:{default:!0}})};if_block(node_4,$$render=>{prompt().arguments?.length&&$$render(consequent_2)})}append($$anchor6,fragment_8)};let $0=user_derived(()=>prompt().title||prompt().name);ChatFormPickerItemHeader($$anchor5,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return prompt().description},titleExtra,$$slots:{titleExtra:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor4=>{
+ChatFormPickerListItemSkeleton($$anchor4,{titleWidth:"w-32",showBadge:!0})},$$slots:{item:!0,skeleton:!0}})};if_block(node2,$$render=>{get$3(selectedPrompt)?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop($$exports)}function Label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(
+()=>cn$1("flex items-center gap-2 text-sm leading-none font-medium select-none group-data-[disabled=true]:pointer-events-none group-data-[disabled=true]:opacity-50 peer-disabled:cursor-not-allowed peer-disabled:opacity-50",$$props.class));component(node2,()=>Label$1,($$anchor2,LabelPrimitive_Root)=>{LabelPrimitive_Root($$anchor2,spread_props({"data-slot":"label",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}
+var root_2$W=from_html('<span class="text-destructive">*</span>'),root_3$L=from_html('<span class="text-xs text-muted-foreground/50">...</span>'),root_1$E=from_html("<span> <!></span> <!>",1),root_5$r=from_html('<button type="button"> </button>'),root_4$w=from_html('<div class="absolute top-full right-0 left-0 z-10 mt-1 max-h-32 overflow-y-auto rounded-lg border border-border/50 bg-background shadow-lg"></div>'),root$1k=from_html('<div class="relative grid gap-1"><!> <!> <!></div>');function ChatFormPromptPickerArgumentInput($$anchor,$$props){
+push$1($$props,!0);let value=prop($$props,"value",3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$1k(),node2=child(div);Label(node2,{get for(){return`arg-${$$props.argument.name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$E(),span=first_child(fragment),
+text2=child(span),node_1=sibling(text2);{var consequent=$$anchor3=>{var span_1=root_2$W();append($$anchor3,span_1)};if_block(node_1,$$render=>{$$props.argument.required&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var span_2=root_3$L();append($$anchor3,span_2)};if_block(node_2,$$render=>{isLoadingSuggestions()&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`${$$props.argument.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}});
+var node_3=sibling(node2,2);{let $0=user_derived(()=>$$props.argument.description||$$props.argument.name);Input(node_3,{get id(){return`arg-${$$props.argument.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return get$3($0)},get required(){return $$props.argument.required},autocomplete:"off"})}var node_4=sibling(
+node_3,2);{var consequent_2=$$anchor2=>{var div_1=root_4$w();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_5$r(),text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$3(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),delegated("mousedown",button,()=>$$props.onSelectSuggestion(suggestion)),append($$anchor3,button)}),reset(div_1),transition(3,div_1,
+()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block(node_4,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_2)})}reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$V=from_html('<div class="flex items-start gap-2 rounded-lg border border-destructive/50 bg-destructive/10 px-3 py-2 text-sm text-destructive" role="alert"><span class="shrink-0">⚠</span> <span> </span></div>'),root$1j=from_html('<form class="space-y-3 pt-4"><!> <!>\
+ <div class="mt-8 flex justify-end gap-2"><!> <!></div></form>');function ChatFormPromptPickerArgumentForm($$anchor,$$props){push$1($$props,!0);var form=root$1j(),node2=child(form);each(node2,17,()=>$$props.prompt.arguments??[],arg=>arg.name,($$anchor2,arg)=>{{let $0=user_derived(()=>$$props.promptArgs[get$3(arg).name]??""),$1=user_derived(()=>$$props.suggestions[get$3(arg).name]??[]),$2=user_derived(()=>$$props.loadingSuggestions[get$3(arg).name]??!1),$3=user_derived(()=>$$props.activeAutocomplete===
+get$3(arg).name),$4=user_derived(()=>$$props.activeAutocomplete===get$3(arg).name?$$props.autocompleteIndex:0);ChatFormPromptPickerArgumentInput($$anchor2,{get argument(){return get$3(arg)},get value(){return get$3($0)},get suggestions(){return get$3($1)},get isLoadingSuggestions(){return get$3($2)},get isAutocompleteActive(){return get$3($3)},get autocompleteIndex(){return get$3($4)},onInput:value=>$$props.onArgInput(get$3(arg).name,value),onKeydown:e=>$$props.onArgKeydown(e,get$3(arg).name),onBlur:()=>$$props.
+onArgBlur(get$3(arg).name),onFocus:()=>$$props.onArgFocus(get$3(arg).name),onSelectSuggestion:value=>$$props.onSelectSuggestion(get$3(arg).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$V(),span=sibling(child(div),2),text2=child(span,!0);reset(span),reset(div),template_effect(()=>set_text(text2,$$props.promptError)),append($$anchor2,div)};if_block(node_1,$$render=>{$$props.promptError&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(div_1);
+Button(node_2,{type:"button",size:"sm",get onclick(){return $$props.onCancel},variant:"secondary",children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);Button(node_3,{size:"sm",type:"submit",children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Use Prompt");append($$anchor2,text_2)},$$slots:{default:!0}}),reset(div_1),reset(form),event("submit",form,function(...$$args){$$props.onSubmit?.apply(
+this,$$args)}),append($$anchor,form),pop()}function Popover($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),restProps=rest_props($$props,["$$slots","$$events","$$legacy","open"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover$1,($$anchor2,PopoverPrimitive_Root)=>{PopoverPrimitive_Root($$anchor2,spread_props(()=>restProps,{get open(){return open2()},set open($$value){open2($$value)}}))}),append($$anchor,fragment),pop()}function Popover_portal($$anchor,$$props){
+let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,PopoverPrimitive_Portal)=>{PopoverPrimitive_Portal($$anchor2,spread_props(()=>restProps))}),append($$anchor,fragment)}function Popover_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),align=prop($$props,"align",3,"center"),collisionPadding=prop($$props,"collisionP\
+adding",3,8),avoidCollisions=prop($$props,"avoidCollisions",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","side","align","collisionPadding","avoidCollisions","portalProps"]);Popover_portal($$anchor,spread_props(()=>$$props.portalProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=comment$2(),node2=first_child(fragment_1);{let $0=user_derived(()=>cn$1("z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 \
+text-popover-foreground shadow-md outline-hidden data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node2,()=>Popover_content$1,($$anchor3,PopoverPrimitive_Content)=>{
+PopoverPrimitive_Content($$anchor3,spread_props({"data-slot":"popover-content",get sideOffset(){return sideOffset()},get side(){return $$props.side},get align(){return align()},get collisionPadding(){return collisionPadding()},get avoidCollisions(){return avoidCollisions()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor2,fragment_1)},$$slots:{default:!0}})),pop()}function Popover_trigger($$anchor,$$props){push$1($$props,
+!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("",$$props.class));component(node2,()=>Popover_trigger$1,($$anchor2,PopoverPrimitive_Trigger)=>{PopoverPrimitive_Trigger($$anchor2,spread_props({"data-slot":"popover-trigger",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,
+fragment),pop()}var root_2$U=from_html('<span class="sr-only"> </span>'),root_1$D=from_html("<!> <!>",1);function ChatFormPickerPopover($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop($$props,"isOpen",15,!1),srLabel=prop($$props,"srLabel",3,"Open picker");var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Popover,($$anchor2,Popover_Root)=>{Popover_Root($$anchor2,{onOpenChange:open2=>{open2||$$props.onClose?.()},get open(){return isOpen()},
+set open($$value){isOpen($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$D(),node_1=first_child(fragment_1);component(node_1,()=>Popover_trigger,($$anchor4,Popover_Trigger)=>{Popover_Trigger($$anchor4,{class:"pointer-events-none absolute inset-0 opacity-0",tabindex:-1,"aria-hidden":"true",children:($$anchor5,$$slotProps2)=>{var span=root_2$U(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,srLabel())),append($$anchor5,span)},$$slots:{default:!0}})});var node_2=sibling(
+node_1,2);component(node_2,()=>Popover_content,($$anchor4,Popover_Content)=>{Popover_Content($$anchor4,{side:"top",align:"start",sideOffset:12,get class(){return`w-[var(--bits-popover-anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl ${className()??""}`},get onkeydown(){return $$props.onKeydown},onOpenAutoFocus:event2=>event2.preventDefault(),children:($$anchor5,$$slotProps2)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.children),append(
+$$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_2$T=from_html('<div class="absolute top-0 right-0 left-0 z-10 p-2 pb-0"><!></div>'),root_5$q=from_html('<div class="py-6 text-center text-sm text-muted-foreground"> </div>'),root_1$C=from_html("<!> <div><!></div> <!>",1);function ChatFormPickerList($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",15),searchPlaceholder=prop(
+$$props,"searchPlaceholder",3,"Search..."),emptyMessage=prop($$props,"emptyMessage",3,"No items available"),listContainer=state$1(null);user_effect(()=>{if(get$3(listContainer)&&$$props.selectedIndex>=0&&$$props.selectedIndex<$$props.items.length){const selectedElement=get$3(listContainer).querySelector(`[data-picker-index="${$$props.selectedIndex}"]`);selectedElement&&selectedElement.scrollIntoView({behavior:"smooth",block:"center",inline:"nearest"})}}),Scroll_area($$anchor,{children:($$anchor2,$$slotProps)=>{
+var fragment_1=root_1$C(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var div=root_2$T(),node_1=child(div);SearchInput(node_1,{get placeholder(){return searchPlaceholder()},get value(){return searchQuery()},set value($$value){searchQuery($$value)}}),reset(div),append($$anchor3,div)};if_block(node2,$$render=>{$$props.showSearchInput&&$$render(consequent)})}var div_1=sibling(node2,2),node_2=child(div_1);{var consequent_2=$$anchor3=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);
+{var consequent_1=$$anchor4=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.skeleton),append($$anchor4,fragment_3)};if_block(node_3,$$render=>{$$props.skeleton&&$$render(consequent_1)})}append($$anchor3,fragment_2)},consequent_3=$$anchor3=>{var div_2=root_5$q(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor3,div_2)},alternate=$$anchor3=>{var fragment_4=comment$2(),node_5=first_child(fragment_4);each(node_5,
+19,()=>$$props.items,(itemData,index2)=>$$props.itemKey(itemData,index2),($$anchor4,itemData,index2)=>{var fragment_5=comment$2(),node_6=first_child(fragment_5);snippet(node_6,()=>$$props.item,()=>get$3(itemData),()=>get$3(index2),()=>get$3(index2)===$$props.selectedIndex),append($$anchor4,fragment_5)}),append($$anchor3,fragment_4)};if_block(node_2,$$render=>{$$props.isLoading?$$render(consequent_2):$$props.items.length===0?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),bind_this(
+div_1,$$value=>set$1(listContainer,$$value),()=>get$3(listContainer));var node_7=sibling(div_1,2);{var consequent_4=$$anchor3=>{var fragment_6=comment$2(),node_8=first_child(fragment_6);snippet(node_8,()=>$$props.footer),append($$anchor3,fragment_6)};if_block(node_7,$$render=>{$$props.footer&&$$render(consequent_4)})}template_effect(()=>set_class(div_1,1,clsx([`${CHAT_FORM_POPOVER_MAX_HEIGHT} p-2`,$$props.showSearchInput&&"pt-13"]))),append($$anchor2,fragment_1)},$$slots:{default:!0}}),pop()}var root$1i=from_html(
+'<button type="button"><!></button>');function ChatFormPickerListItem($$anchor,$$props){let isSelected=prop($$props,"isSelected",3,!1);var button=root$1i(),node2=child(button);snippet(node2,()=>$$props.children),reset(button),template_effect(()=>{set_attribute(button,"data-picker-index",$$props.dataIndex),set_class(button,1,`flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 ${isSelected()?"bg-accent/50":""}`)}),delegated("click",button,function(...$$args){
+$$props.onclick?.apply(this,$$args)}),append($$anchor,button)}delegate(["click"]);var root_1$B=from_html('<img alt="" class="h-3 w-3 shrink-0 rounded-sm"/>'),root_3$K=from_html('<p class="mt-0.5 truncate text-sm text-muted-foreground"> </p>'),root$1h=from_html('<div class="min-w-0 flex-1"><div class="mb-0.5 flex items-center gap-1.5 text-xs text-muted-foreground"><!> <span> </span></div> <div class="flex items-center gap-2"><span class="font-medium"> </span> <!></div> <!> <!></div>');function ChatFormPickerItemHeader($$anchor,$$props){
+push$1($$props,!0);let faviconUrl=user_derived(()=>$$props.server?mcpStore.getServerFavicon($$props.server.id):null);var div=root$1h(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var img=root_1$B();template_effect(()=>set_attribute(img,"src",get$3(faviconUrl))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)};if_block(node2,$$render=>{get$3(faviconUrl)&&$$render(consequent)})}var span=sibling(node2,2),text2=child(span,!0);
+reset(span),reset(div_1);var div_2=sibling(div_1,2),span_1=child(div_2),text_1=child(span_1,!0);reset(span_1);var node_1=sibling(span_1,2);{var consequent_1=$$anchor2=>{var fragment=comment$2(),node_2=first_child(fragment);snippet(node_2,()=>$$props.titleExtra),append($$anchor2,fragment)};if_block(node_1,$$render=>{$$props.titleExtra&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{var p2=root_3$K(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(
+text_2,$$props.description)),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.description&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_5=first_child(fragment_1);snippet(node_5,()=>$$props.subtitle),append($$anchor2,fragment_1)};if_block(node_4,$$render=>{$$props.subtitle&&$$render(consequent_3)})}reset(div),template_effect(()=>{set_text(text2,$$props.serverLabel),set_text(text_1,$$props.title)}),append($$anchor,div),
+pop()}var root_1$A=from_html('<div class="h-4 w-12 animate-pulse rounded-full bg-muted"></div>'),root$1g=from_html('<div class="flex w-full items-start gap-3 rounded-lg px-3 py-2"><div class="min-w-0 flex-1 space-y-2"><div class="mb-2 flex items-center gap-1.5"><div class="h-3 w-3 shrink-0 animate-pulse rounded-sm bg-muted"></div> <div class="h-3 w-24 animate-pulse rounded bg-muted"></div></div> <div class="flex items-center gap-2"><div></div> <!></div> <div class="h-3 w-full animate-pulse round\
+ed bg-muted"></div></div></div>');function ChatFormPickerListItemSkeleton($$anchor,$$props){let titleWidth=prop($$props,"titleWidth",3,"w-48"),showBadge=prop($$props,"showBadge",3,!1);var div=root$1g(),div_1=child(div),div_2=sibling(child(div_1),2),div_3=child(div_2),node2=sibling(div_3,2);{var consequent=$$anchor2=>{var div_4=root_1$A();append($$anchor2,div_4)};if_block(node2,$$render=>{showBadge()&&$$render(consequent)})}reset(div_2),next$1(2),reset(div_1),reset(div),template_effect(()=>set_class(
+div_3,1,`h-4 ${titleWidth()??""} animate-pulse rounded bg-muted`)),append($$anchor,div)}var root_5$p=from_html('<span class="inline-flex items-center rounded-full bg-primary/10 px-1.5 py-0.5 text-[10px] font-medium text-primary">attached</span>'),root_6$q=from_html('<p class="mt-0.5 truncate text-xs text-muted-foreground/60"> </p>'),root_10$a=from_html("<!> Browse all",1);function ChatFormPickerMcpResources($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isOpen=prop(
+$$props,"isOpen",7,!1),searchQuery=prop($$props,"searchQuery",3,""),resources=state$1(proxy([])),isLoading2=state$1(!1),selectedIndex=state$1(0),internalSearchQuery=state$1(""),serverSettingsMap=user_derived(()=>{const servers=mcpStore.getServers(),map2=new SvelteMap;for(const server of servers)map2.set(server.id,server);return map2});user_effect(()=>{isOpen()&&(loadResources(),set$1(selectedIndex,0))}),user_effect(()=>{get$3(filteredResources).length>0&&get$3(selectedIndex)>=get$3(filteredResources).
+length&&set$1(selectedIndex,0)});async function loadResources(){set$1(isLoading2,!0);try{const perChatOverrides=conversationsStore.getAllMcpServerOverrides();if(!await mcpStore.ensureInitialized(perChatOverrides)){set$1(resources,[],!0);return}await mcpStore.fetchAllResources(),set$1(resources,mcpResourceStore.getAllResourceInfos(),!0)}catch(error2){console.error("[ChatFormPickerMcpResources] Failed to load resources:",error2),set$1(resources,[],!0)}finally{set$1(isLoading2,!1)}}function handleResourceClick(resource){
+mcpStore.attachResource(resource.uri),$$props.onResourceSelect?.(resource),$$props.onClose?.()}function isResourceAttached(uri2){return mcpResourceStore.isAttached(uri2)}function handleKeydown(event2){return isOpen()?event2.key===KeyboardKey.ESCAPE?(event2.preventDefault(),$$props.onClose?.(),!0):event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,(get$3(selectedIndex)+1)%get$3(filteredResources).length),!0):event2.key===KeyboardKey.
+ARROW_UP?(event2.preventDefault(),get$3(filteredResources).length>0&&set$1(selectedIndex,get$3(selectedIndex)===0?get$3(filteredResources).length-1:get$3(selectedIndex)-1,!0),!0):event2.key===KeyboardKey.ENTER?(event2.preventDefault(),get$3(filteredResources)[get$3(selectedIndex)]&&handleResourceClick(get$3(filteredResources)[get$3(selectedIndex)]),!0):!1:!1}let filteredResources=user_derived(()=>{const sortedServers=mcpStore.getServersSorted(),serverOrderMap=new Map(sortedServers.map((server,index2)=>[
+server.id,index2])),sortedResources=[...get$3(resources)].sort((a,b)=>{const orderA=serverOrderMap.get(a.serverName)??Number.MAX_SAFE_INTEGER,orderB=serverOrderMap.get(b.serverName)??Number.MAX_SAFE_INTEGER;return orderA-orderB}),query=(searchQuery()||get$3(internalSearchQuery)).toLowerCase();return query?sortedResources.filter(resource=>resource.name.toLowerCase().includes(query)||resource.title?.toLowerCase().includes(query)||resource.description?.toLowerCase().includes(query)||resource.uri.toLowerCase().
+includes(query)):sortedResources}),showSearchInput=user_derived(()=>get$3(resources).length>3);var $$exports={handleKeydown};return ChatFormPickerPopover($$anchor,{get class(){return className()},srLabel:"Open resource picker",get onClose(){return $$props.onClose},onKeydown:handleKeydown,get isOpen(){return isOpen()},set isOpen($$value){isOpen($$value)},children:($$anchor2,$$slotProps)=>{ChatFormPickerList($$anchor2,{get items(){return get$3(filteredResources)},get isLoading(){return get$3(isLoading2)},
+get selectedIndex(){return get$3(selectedIndex)},get showSearchInput(){return get$3(showSearchInput)},searchPlaceholder:"Search resources...",emptyMessage:"No MCP resources available",itemKey:resource=>resource.serverName+":"+resource.uri,get searchQuery(){return get$3(internalSearchQuery)},set searchQuery($$value){set$1(internalSearchQuery,$$value,!0)},item:($$anchor3,resource=noop$3,index2=noop$3,isSelected=noop$3)=>{const server=user_derived(()=>get$3(serverSettingsMap).get(resource().serverName)),
+serverLabel=user_derived(()=>get$3(server)?mcpStore.getServerLabel(get$3(server)):resource().serverName);ChatFormPickerListItem($$anchor3,{get dataIndex(){return index2()},get isSelected(){return isSelected()},onclick:()=>handleResourceClick(resource()),children:($$anchor4,$$slotProps2)=>{{const titleExtra=$$anchor5=>{var fragment_4=comment$2(),node2=first_child(fragment_4);{var consequent=$$anchor6=>{var span=root_5$p();append($$anchor6,span)},d2=user_derived(()=>isResourceAttached(resource().uri));
+if_block(node2,$$render=>{get$3(d2)&&$$render(consequent)})}append($$anchor5,fragment_4)},subtitle=$$anchor5=>{var p2=root_6$q(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,resource().uri)),append($$anchor5,p2)};let $0=user_derived(()=>resource().title||resource().name);ChatFormPickerItemHeader($$anchor4,{get server(){return get$3(server)},get serverLabel(){return get$3(serverLabel)},get title(){return get$3($0)},get description(){return resource().description},titleExtra,subtitle,
+$$slots:{titleExtra:!0,subtitle:!0}})}},$$slots:{default:!0}})},skeleton:$$anchor3=>{ChatFormPickerListItemSkeleton($$anchor3,{})},footer:$$anchor3=>{var fragment_6=comment$2(),node_1=first_child(fragment_6);{var consequent_1=$$anchor4=>{Button($$anchor4,{class:"fixed right-3 bottom-3",type:"button",get onclick(){return $$props.onBrowse},variant:"secondary",size:"sm",children:($$anchor5,$$slotProps2)=>{var fragment_8=root_10$a(),node_2=first_child(fragment_8);Folder_open(node_2,{class:"h-3 w-3"}),
+next$1(),append($$anchor5,fragment_8)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.onBrowse&&get$3(resources).length>3&&$$render(consequent_1)})}append($$anchor3,fragment_6)},$$slots:{item:!0,skeleton:!0,footer:!0}})},$$slots:{default:!0}}),pop($$exports)}var root$1f=from_html("<!> <!>",1);function ChatFormPickers($$anchor,$$props){push$1($$props,!0);let promptPickerRef=state$1(void 0),resourcePickerRef=state$1(void 0);function handleKeydown(event2){return!!($$props.isPromptPickerOpen&&
+get$3(promptPickerRef)?.handleKeydown(event2)||$$props.isInlineResourcePickerOpen&&get$3(resourcePickerRef)?.handleKeydown(event2))}var $$exports={handleKeydown},fragment=root$1f(),node2=first_child(fragment);bind_this(ChatFormPickerMcpPrompts(node2,{get isOpen(){return $$props.isPromptPickerOpen},get searchQuery(){return $$props.promptSearchQuery},get onClose(){return $$props.onPromptPickerClose},get onPromptLoadStart(){return $$props.onPromptLoadStart},get onPromptLoadComplete(){return $$props.
+onPromptLoadComplete},get onPromptLoadError(){return $$props.onPromptLoadError}}),$$value=>set$1(promptPickerRef,$$value,!0),()=>get$3(promptPickerRef));var node_1=sibling(node2,2);return bind_this(ChatFormPickerMcpResources(node_1,{get isOpen(){return $$props.isInlineResourcePickerOpen},get searchQuery(){return $$props.resourceSearchQuery},get onClose(){return $$props.onInlineResourcePickerClose},get onResourceSelect(){return $$props.onInlineResourceSelect},get onBrowse(){return $$props.onInlineResourceBrowse}}),
+$$value=>set$1(resourcePickerRef,$$value,!0),()=>get$3(resourcePickerRef)),append($$anchor,fragment),pop($$exports)}const MESSAGE_EDIT_KEY=Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);function setMessageEditContext(ctx){return setContext(MESSAGE_EDIT_KEY,ctx)}function getMessageEditContext(){return getContext(MESSAGE_EDIT_KEY)}const CHAT_ACTIONS_KEY=Symbol.for(CONTEXT_KEY_CHAT_ACTIONS);function setChatActionsContext(ctx){return setContext(CHAT_ACTIONS_KEY,ctx)}function getChatActionsContext(){return getContext(
+CHAT_ACTIONS_KEY)}const CHAT_SETTINGS_CONFIG_KEY=Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_CONFIG);function setChatSettingsConfigContext(ctx){return setContext(CHAT_SETTINGS_CONFIG_KEY,ctx)}const PROCESSING_INFO_KEY=Symbol.for(CONTEXT_KEY_PROCESSING_INFO);function setProcessingInfoContext(ctx){return setContext(PROCESSING_INFO_KEY,ctx)}function getProcessingInfoContext(){return getContext(PROCESSING_INFO_KEY)}var root$1e=from_html("<!> <!>",1);function ChatMessages($$anchor,$$props){push$1($$props,!0);
+let messages=prop($$props,"messages",19,()=>[]),allConversationMessages=state$1(proxy([]));const currentConfig=config$1();setChatActionsContext({copy:async message=>{const asPlainText=!!currentConfig.copyTextAttachmentsAsPlainText,clipboardContent=formatMessageForClipboard(message.content,message.extra,asPlainText);await copyToClipboard(clipboardContent,"Message copied to clipboard")},delete:async message=>{await chatStore.deleteMessage(message.id),refreshAllMessages()},navigateToSibling:async siblingId=>{
+await conversationsStore.navigateToSibling(siblingId)},editWithBranching:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),await chatStore.editMessageWithBranching(message.id,newContent,newExtras),refreshAllMessages()},editWithReplacement:async(message,newContent,shouldBranch)=>{$$props.onUserAction?.(),await chatStore.editAssistantMessage(message.id,newContent,shouldBranch),refreshAllMessages()},editUserMessagePreserveResponses:async(message,newContent,newExtras)=>{$$props.onUserAction?.(),
+await chatStore.editUserMessagePreserveResponses(message.id,newContent,newExtras),refreshAllMessages()},regenerateWithBranching:async(message,modelOverride)=>{$$props.onUserAction?.(),await chatStore.regenerateMessageWithBranching(message.id,modelOverride),refreshAllMessages()},continueAssistantMessage:async message=>{$$props.onUserAction?.(),await chatStore.continueAssistantMessage(message.id),refreshAllMessages()},forkConversation:async(message,options)=>{await conversationsStore.forkConversation(
+message.id,options)}});function refreshAllMessages(){const conversation=activeConversation();conversation?conversationsStore.getConversationMessages(conversation.id).then(messages2=>{set$1(allConversationMessages,messages2,!0)}):set$1(allConversationMessages,[],!0)}user_effect(()=>{activeConversation()&&refreshAllMessages()});let displayMessages=user_derived(()=>{if(!messages().length)return[];const filteredMessages=currentConfig.showSystemMessage?messages():messages().filter(msg=>msg.type!==MessageRole.
+SYSTEM),result=[];for(let i=0;i<filteredMessages.length;i++){const msg=filteredMessages[i];if(msg.role===MessageRole.TOOL)continue;const toolMessages=[];if(msg.role===MessageRole.ASSISTANT&&hasAgenticContent(msg)){let j=i+1;for(;j<filteredMessages.length;){const next2=filteredMessages[j];if(next2.role===MessageRole.TOOL)toolMessages.push(next2),j++;else if(next2.role===MessageRole.ASSISTANT)toolMessages.push(next2),j++;else break}i=j-1}else if(msg.role===MessageRole.ASSISTANT){let j=i+1;for(;j<filteredMessages.
+length&&filteredMessages[j].role===MessageRole.TOOL;)toolMessages.push(filteredMessages[j]),j++}const siblingInfo=getMessageSiblings(get$3(allConversationMessages),msg.id);result.push({message:msg,toolMessages,isLastAssistantMessage:!1,siblingInfo:siblingInfo||{message:msg,siblingIds:[msg.id],currentIndex:0,totalSiblings:1}})}for(let i=result.length-1;i>=0;i--)if(result[i].message.role===MessageRole.ASSISTANT){result[i].isLastAssistantMessage=!0;break}return result});var fragment=root$1e(),node2=first_child(
+fragment);each(node2,17,()=>get$3(displayMessages),({message,toolMessages,isLastAssistantMessage,siblingInfo})=>message.id,($$anchor2,$$item)=>{let message=()=>get$3($$item).message,toolMessages=()=>get$3($$item).toolMessages,isLastAssistantMessage=()=>get$3($$item).isLastAssistantMessage,siblingInfo=()=>get$3($$item).siblingInfo;ChatMessage($$anchor2,{class:"mx-auto mt-12 w-full max-w-[48rem]",get message(){return message()},get toolMessages(){return toolMessages()},get isLastAssistantMessage(){
+return isLastAssistantMessage()},get siblingInfo(){return siblingInfo()}})});var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived(()=>agenticPendingSteeringMessageContent(get$3(convId)));var fragment_2=comment$2(),node_2=first_child(fragment_2);{var consequent=$$anchor3=>{{let $0=user_derived(()=>agenticPendingSteeringMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx-auto mt-12 w-full \
+max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(get$3(convId)),onEdit:(newContent,extras)=>agenticInjectSteeringMessage(get$3(convId),newContent,extras),onDelete:()=>agenticClearSteeringMessage(get$3(convId))})}};if_block(node_2,$$render=>{get$3(pendingContent)&&$$render(consequent)})}append($$anchor2,fragment_2)},d2=user_derived(()=>activeConversation()&&agenticPendingSteeringMessageContent(activeConversation().
+id)),consequent_3=$$anchor2=>{const convId=user_derived(()=>activeConversation().id),pendingContent=user_derived(()=>chatPendingMessageContent(get$3(convId)));var fragment_4=comment$2(),node_3=first_child(fragment_4);{var consequent_2=$$anchor3=>{{let $0=user_derived(()=>chatPendingMessageExtras(get$3(convId)));ChatMessageUserPending($$anchor3,{class:"mx-auto mt-12 w-full max-w-[48rem]",get content(){return get$3(pendingContent)},get extras(){return get$3($0)},onSendImmediately:()=>chatStore.abortCurrentFlow(
+get$3(convId)),onEdit:(newContent,extras)=>chatInjectPendingMessage(get$3(convId),newContent,extras),onDelete:()=>chatClearPendingMessage(get$3(convId))})}};if_block(node_3,$$render=>{get$3(pendingContent)&&$$render(consequent_2)})}append($$anchor2,fragment_4)},d_12=user_derived(()=>activeConversation()&&chatPendingMessageContent(activeConversation().id));if_block(node_1,$$render=>{get$3(d2)?$$render(consequent_1):get$3(d_12)&&$$render(consequent_3,1)})}append($$anchor,fragment),pop()}function isElementInViewport(node2){
+const rect=node2.getBoundingClientRect();return rect.top<window.innerHeight&&rect.bottom>0&&rect.left<window.innerWidth&&rect.right>0}function fadeInView(node2,options={}){const{duration:duration2=300,y=0,skipIfVisible=!1}=options;skipIfVisible&&isElementInViewport(node2)||(node2.style.opacity="0",node2.style.transform=`translateY(${y}px)`,node2.style.transition=`opacity ${duration2}ms ease-out, transform ${duration2}ms ease-out`,user_effect(()=>{const observer=new IntersectionObserver(entries=>{
+for(const entry of entries)entry.isIntersecting&&(requestAnimationFrame(()=>{node2.style.opacity="1",node2.style.transform="translateY(0)"}),observer.disconnect())},{threshold:.05});return observer.observe(node2),()=>{observer.disconnect()}}))}var root$1d=from_html("<div><!></div>");function ChatMessage($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),toolMessages=prop($$props,"toolMessages",19,()=>[]),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),
+siblingInfo=prop($$props,"siblingInfo",3,null);const chatActions=getChatActionsContext();let deletionInfo=state$1(null),editedContent=user_derived(()=>$$props.message.content),rawEditContent=user_derived(()=>{if($$props.message.role!==MessageRole.ASSISTANT)return;const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section2 of sections)switch(section2.type){case AgenticSectionType.REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.
+START}
+${section2.content}
+${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section2.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section2.toolName};if(section2.toolArgs)try{callObj.arguments=JSON.parse(section2.toolArgs)}catch{callObj.arguments=section2.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section2.toolResult&&parts.push(`[Tool Result]
+${section2.toolResult}`);break}}return parts.join(`
+
+
+`)}),editedExtras=user_derived(()=>$$props.message.extra?[...$$props.message.extra]:[]),editedUploadedFiles=state$1(proxy([])),isEditing2=state$1(!1),showDeleteDialog=state$1(!1),shouldBranchAfterEdit=state$1(!1),textareaElement=state$1(void 0),showSaveOnlyOption=user_derived(()=>$$props.message.role===MessageRole.USER),showBranchAfterEditOption=user_derived(()=>$$props.message.role===MessageRole.ASSISTANT);setMessageEditContext({get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3(
+editedContent)},get editedExtras(){return get$3(editedExtras)},get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return $$props.message.role===MessageRole.ASSISTANT?get$3(rawEditContent)??$$props.message.content:$$props.message.content},get originalExtras(){return $$props.message.extra||[]},get showSaveOnlyOption(){return get$3(showSaveOnlyOption)},get showBranchAfterEditOption(){return get$3(showBranchAfterEditOption)},get shouldBranchAfterEdit(){return get$3(shouldBranchAfterEdit)},
+get messageRole(){return $$props.message.role},get rawEditContent(){return get$3(rawEditContent)},setContent:content2=>{set$1(editedContent,content2)},setExtras:extras=>{set$1(editedExtras,extras)},setUploadedFiles:files=>{set$1(editedUploadedFiles,files,!0)},setShouldBranchAfterEdit:value=>{set$1(shouldBranchAfterEdit,value,!0)},save:handleSaveEdit,saveOnly:handleSaveEditOnly,cancel:handleCancelEdit,startEdit:handleEdit});let mcpPromptExtra=user_derived(()=>{if($$props.message.role!==MessageRole.
+USER||$$props.message.content.trim()||!$$props.message.extra||$$props.message.extra.length!==1)return null;const extra=$$props.message.extra[0];return extra.type===AttachmentType.MCP_PROMPT?extra:null});user_effect(()=>{const pendingId=pendingEditMessageId();pendingId&&pendingId===$$props.message.id&&!get$3(isEditing2)&&(handleEdit(),chatStore.clearPendingEditMessageId())});async function handleCancelEdit(){if(set$1(isEditing2,!1),$$props.message.role===MessageRole.SYSTEM){await chatStore.removeSystemPromptPlaceholder(
+$$props.message.id)&&goto("#/");return}set$1(editedContent,$$props.message.role===MessageRole.ASSISTANT?get$3(rawEditContent)||$$props.message.content||"":$$props.message.content),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0)}function handleCopy(){chatActions.copy($$props.message)}async function handleConfirmDelete(){$$props.message.role===MessageRole.SYSTEM?await chatStore.removeSystemPromptPlaceholder($$props.message.id)&&goto("#/"):chatActions.
+delete($$props.message),set$1(showDeleteDialog,!1)}async function handleDelete2(){set$1(deletionInfo,await chatStore.getDeletionInfo($$props.message.id),!0),set$1(showDeleteDialog,!0)}function handleEdit(){set$1(isEditing2,!0),$$props.message.role===MessageRole.SYSTEM&&$$props.message.content===SYSTEM_MESSAGE_PLACEHOLDER?set$1(editedContent,""):$$props.message.role===MessageRole.ASSISTANT?set$1(editedContent,get$3(rawEditContent)||$$props.message.content||""):set$1(editedContent,$$props.message.
+content),get$3(textareaElement)?.focus(),set$1(editedExtras,$$props.message.extra?[...$$props.message.extra]:[]),set$1(editedUploadedFiles,[],!0),setTimeout(()=>{get$3(textareaElement)&&(get$3(textareaElement).focus(),get$3(textareaElement).setSelectionRange(get$3(textareaElement).value.length,get$3(textareaElement).value.length))},0)}function handleRegenerate(modelOverride){chatActions.regenerateWithBranching($$props.message,modelOverride)}function handleContinue(){chatActions.continueAssistantMessage(
+$$props.message)}function handleForkConversation(options){chatActions.forkConversation($$props.message,options)}function handleNavigateToSibling(siblingId){chatActions.navigateToSibling(siblingId)}async function handleSaveEdit(){if($$props.message.role===MessageRole.SYSTEM){const newContent=get$3(editedContent).trim();if(!newContent){const conversationDeleted=await chatStore.removeSystemPromptPlaceholder($$props.message.id);set$1(isEditing2,!1),conversationDeleted&&goto("#/");return}await DatabaseService.
+updateMessage($$props.message.id,{content:newContent});const index2=conversationsStore.findMessageIndex($$props.message.id);index2!==-1&&conversationsStore.updateMessageAtIndex(index2,{content:newContent})}else if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editWithBranching($$props.message,get$3(editedContent).trim(),finalExtras)}else chatActions.editWithReplacement($$props.message,get$3(editedContent),get$3(shouldBranchAfterEdit));set$1(isEditing2,
+!1),set$1(shouldBranchAfterEdit,!1),set$1(editedUploadedFiles,[],!0)}async function handleSaveEditOnly(){if($$props.message.role===MessageRole.USER){const finalExtras=await getMergedExtras();chatActions.editUserMessagePreserveResponses($$props.message,get$3(editedContent).trim(),finalExtras)}set$1(isEditing2,!1),set$1(editedUploadedFiles,[],!0)}async function getMergedExtras(){if(get$3(editedUploadedFiles).length===0)return get$3(editedExtras);const plainFiles=snapshot(get$3(editedUploadedFiles)),
+newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];return[...get$3(editedExtras),...newExtras]}function handleShowDeleteDialogChange(show){set$1(showDeleteDialog,show,!0)}var div=root$1d(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageSystem($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,
+onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)},set textareaElement($$value){set$1(textareaElement,$$value,!0)}})},consequent_1=$$anchor2=>{ChatMessageMcpPrompt($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},get mcpPrompt(){return get$3(mcpPromptExtra)},onConfirmDelete:handleConfirmDelete,
+onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},consequent_2=$$anchor2=>{ChatMessageUser($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get message(){return $$props.message},onConfirmDelete:handleConfirmDelete,onCopy:handleCopy,onDelete:handleDelete2,
+onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()}})},alternate=$$anchor2=>{ChatMessageAssistant($$anchor2,{get class(){return className()},get deletionInfo(){return get$3(deletionInfo)},get isLastAssistantMessage(){return isLastAssistantMessage()},get message(){return $$props.message},get toolMessages(){
+return toolMessages()},get messageContent(){return $$props.message.content},onConfirmDelete:handleConfirmDelete,onContinue:handleContinue,onCopy:handleCopy,onDelete:handleDelete2,onEdit:handleEdit,onForkConversation:handleForkConversation,onNavigateToSibling:handleNavigateToSibling,onRegenerate:handleRegenerate,onShowDeleteDialogChange:handleShowDeleteDialogChange,get showDeleteDialog(){return get$3(showDeleteDialog)},get siblingInfo(){return siblingInfo()},get textareaElement(){return get$3(textareaElement)},
+set textareaElement($$value){set$1(textareaElement,$$value,!0)}})};if_block(node2,$$render=>{$$props.message.role===MessageRole.SYSTEM?$$render(consequent):get$3(mcpPromptExtra)?$$render(consequent_1,1):$$props.message.role===MessageRole.USER?$$render(consequent_2,2):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),append($$anchor,div),pop()}var root_2$S=from_html('<div class="agentic-text svelte-1uhcmx5"><!></div>'),root_7$n=from_html('<div class="rounded bg-muted/30\
+ p-2 text-xs text-muted-foreground italic">Receiving arguments...</div>'),root_8$n=from_html('<div class="rounded bg-yellow-500/10 p-2 text-xs text-yellow-600 italic dark:text-yellow-400">Response was truncated</div>'),root_4$v=from_html('<div class="pt-3"><div class="my-3 flex items-center gap-2 text-xs text-muted-foreground"><span>Arguments:</span> <!></div> <!></div>'),root_11$b=from_html('<div class="pt-3"><div class="my-3 text-xs text-muted-foreground">Arguments:</div> <!></div>'),root_13$9=from_html(
+'<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">Waiting for result...</div>'),root_16$2=from_html('<img class="mt-2 mb-2 h-auto max-w-full rounded-lg" loading="lazy"/>'),root_15$8=from_html('<div class="font-mono text-xs leading-relaxed whitespace-pre-wrap"> </div> <!>',1),root_14$5=from_html('<div class="overflow-auto rounded-lg border border-border bg-muted p-4"></div>'),root_17$6=from_html('<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">No\
+ output</div>'),root_10$9=from_html('<!> <div class="pt-3"><div class="my-3 flex items-center gap-2 text-xs text-muted-foreground"><span>Result:</span> <!></div> <!></div>',1),root_19$7=from_html('<div class="pt-3"><div class="text-xs leading-relaxed break-words whitespace-pre-wrap"> </div></div>'),root_21$2=from_html('<div class="pt-3"><div class="text-xs leading-relaxed break-words whitespace-pre-wrap"> </div></div>'),root_25$3=from_html('<div class="turn-stats svelte-1uhcmx5"><!></div>'),root_23$3=from_html(
+'<div class="agentic-turn my-2 hover:bg-muted/80 dark:hover:bg-muted/30 svelte-1uhcmx5"><span class="agentic-turn-label svelte-1uhcmx5"></span> <!> <!></div>'),root$1c=from_html('<div class="agentic-content svelte-1uhcmx5"><!> <!> <!></div>');function ChatMessageAgenticContent($$anchor,$$props){push$1($$props,!0);const renderSection=($$anchor2,section2=noop$3,index2=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor3=>{var div=root_2$S(),node_1=child(div);{let $0=user_derived(
+()=>$$props.message?.extra);MarkdownContent(node_1,{get content(){return section2().content},get attachments(){return get$3($0)}})}reset(div),append($$anchor3,div)},consequent_4=$$anchor3=>{const streamingIcon=user_derived(()=>(isStreaming(),Loader_circle)),streamingIconClass=user_derived(()=>isStreaming()?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),section2())),$1=user_derived(()=>section2().toolName||"Tool call"),$2=user_derived(()=>isStreaming()?"":"incomple\
+te");CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(streamingIcon)},get iconClass(){return get$3(streamingIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var div_1=root_4$v(),div_2=child(div_1),node_2=sibling(child(div_2),2);{var consequent_1=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 \
+animate-spin"})};if_block(node_2,$$render=>{isStreaming()&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor5=>{{let $02=user_derived(()=>formatJsonPretty(section2().toolArgs));SyntaxHighlightedCode($$anchor5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}},consequent_3=$$anchor5=>{var div_3=root_7$n();append($$anchor5,div_3)},alternate=$$anchor5=>{var div_4=root_8$n();append($$anchor5,div_4)};
+if_block(node_3,$$render=>{section2().toolArgs?$$render(consequent_2):isStreaming()?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_1),append($$anchor4,div_1)},$$slots:{default:!0}})}},consequent_10=$$anchor3=>{const isPending=user_derived(()=>section2().type===AgenticSectionType.TOOL_CALL_PENDING),toolIcon=user_derived(()=>get$3(isPending)?Loader_circle:Wrench),toolIconClass=user_derived(()=>get$3(isPending)?"h-4 w-4 animate-spin":"h-4 w-4");{let $0=user_derived(()=>isExpanded(index2(),
+section2())),$1=user_derived(()=>section2().toolName||""),$2=user_derived(()=>get$3(isPending)?"executing...":void 0);CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return get$3(toolIcon)},get iconClass(){return get$3(toolIconClass)},get title(){return get$3($1)},get subtitle(){return get$3($2)},get isStreaming(){return get$3(isPending)},onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var fragment_5=root_10$9(),node_4=first_child(
+fragment_5);{var consequent_5=$$anchor5=>{var div_5=root_11$b(),node_5=sibling(child(div_5),2);{let $02=user_derived(()=>formatJsonPretty(section2().toolArgs));SyntaxHighlightedCode(node_5,{get code(){return get$3($02)},get language(){return FileTypeText.JSON},maxHeight:"20rem",class:"text-xs"})}reset(div_5),append($$anchor5,div_5)};if_block(node_4,$$render=>{section2().toolArgs&&section2().toolArgs!=="{}"&&$$render(consequent_5)})}var div_6=sibling(node_4,2),div_7=child(div_6),node_6=sibling(child(
+div_7),2);{var consequent_6=$$anchor5=>{Loader_circle($$anchor5,{class:"h-3 w-3 animate-spin"})};if_block(node_6,$$render=>{get$3(isPending)&&$$render(consequent_6)})}reset(div_7);var node_7=sibling(div_7,2);{var consequent_7=$$anchor5=>{var div_8=root_13$9();append($$anchor5,div_8)},consequent_9=$$anchor5=>{var div_9=root_14$5();each(div_9,21,()=>section2().parsedLines,index$2,($$anchor6,line)=>{var fragment_7=root_15$8(),div_10=first_child(fragment_7),text2=child(div_10,!0);reset(div_10);var node_8=sibling(
+div_10,2);{var consequent_8=$$anchor7=>{var img=root_16$2();template_effect(()=>{set_attribute(img,"src",get$3(line).image.base64Url),set_attribute(img,"alt",get$3(line).image.name)}),append($$anchor7,img)};if_block(node_8,$$render=>{get$3(line).image&&$$render(consequent_8)})}template_effect(()=>set_text(text2,get$3(line).text)),append($$anchor6,fragment_7)}),reset(div_9),append($$anchor5,div_9)},alternate_1=$$anchor5=>{var div_11=root_17$6();append($$anchor5,div_11)};if_block(node_7,$$render=>{
+get$3(isPending)?$$render(consequent_7):section2().toolResult?$$render(consequent_9,1):$$render(alternate_1,-1)})}reset(div_6),append($$anchor4,fragment_5)},$$slots:{default:!0}})}},consequent_11=$$anchor3=>{{let $0=user_derived(()=>isExpanded(index2(),section2()));CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return Brain},title:"Reasoning",onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var div_12=root_19$7(),div_13=child(
+div_12),text_1=child(div_13,!0);reset(div_13),reset(div_12),template_effect(()=>set_text(text_1,section2().content)),append($$anchor4,div_12)},$$slots:{default:!0}})}},consequent_12=$$anchor3=>{const reasoningTitle=user_derived(()=>isStreaming()?"Reasoning...":"Reasoning"),reasoningSubtitle=user_derived(()=>isStreaming()?"":"incomplete");{let $0=user_derived(()=>isExpanded(index2(),section2()));CollapsibleContentBlock($$anchor3,{get open(){return get$3($0)},class:"my-2",get icon(){return Brain},
+get title(){return get$3(reasoningTitle)},get subtitle(){return get$3(reasoningSubtitle)},get isStreaming(){return isStreaming()},onToggle:()=>toggleExpanded(index2(),section2()),children:($$anchor4,$$slotProps)=>{var div_14=root_21$2(),div_15=child(div_14),text_2=child(div_15,!0);reset(div_15),reset(div_14),template_effect(()=>set_text(text_2,section2().content)),append($$anchor4,div_14)},$$slots:{default:!0}})}};if_block(node2,$$render=>{section2().type===AgenticSectionType.TEXT?$$render(consequent):
+section2().type===AgenticSectionType.TOOL_CALL_STREAMING?$$render(consequent_4,1):section2().type===AgenticSectionType.TOOL_CALL||section2().type===AgenticSectionType.TOOL_CALL_PENDING?$$render(consequent_10,2):section2().type===AgenticSectionType.REASONING?$$render(consequent_11,3):section2().type===AgenticSectionType.REASONING_PENDING&&$$render(consequent_12,4)})}append($$anchor2,fragment)};let toolMessages=prop($$props,"toolMessages",19,()=>[]),isStreaming=prop($$props,"isStreaming",3,!1),isLastAssistantMessage=prop(
+$$props,"isLastAssistantMessage",3,!1),highlightTurns=prop($$props,"highlightTurns",3,!1),expandedStates=proxy({});const showToolCallInProgress=user_derived(()=>config$1().showToolCallInProgress),showThoughtInProgress=user_derived(()=>config$1().showThoughtInProgress);let permissionDismissed=state$1(!1);const pendingPermission=user_derived(()=>isStreaming()&&isLastAssistantMessage()?agenticPendingPermissionRequest($$props.message.convId):null);let prevPendingRef=null;user_effect(()=>{get$3(pendingPermission)!==
+prevPendingRef&&(prevPendingRef=get$3(pendingPermission),get$3(pendingPermission)&&set$1(permissionDismissed,!1))});function handlePermission(decision){set$1(permissionDismissed,!0),agenticResolvePermission($$props.message.convId,decision)}let continueDismissed=state$1(!1);const pendingContinue=user_derived(()=>isStreaming()&&isLastAssistantMessage()?agenticPendingContinueRequest($$props.message.convId):!1);let prevContinueRef=!1;user_effect(()=>{get$3(pendingContinue)!==prevContinueRef&&(prevContinueRef=
+get$3(pendingContinue),get$3(pendingContinue)&&set$1(continueDismissed,!1))});function handleContinue(shouldContinue){set$1(continueDismissed,!0),agenticResolveContinue($$props.message.convId,shouldContinue)}const sections=user_derived(()=>deriveAgenticSections($$props.message,toolMessages(),[],isStreaming())),sectionsParsed=user_derived(()=>get$3(sections).map(section2=>({...section2,parsedLines:section2.toolResult?parseToolResultWithImages(section2.toolResult,section2.toolResultExtras||$$props.
+message?.extra):[]}))),turnGroups=user_derived(()=>{const turns=[];let currentTurn=[],currentIndices=[],prevWasTool=!1;for(let i=0;i<get$3(sectionsParsed).length;i++){const section2=get$3(sectionsParsed)[i],isTool=section2.type===AgenticSectionType.TOOL_CALL||section2.type===AgenticSectionType.TOOL_CALL_PENDING||section2.type===AgenticSectionType.TOOL_CALL_STREAMING;!isTool&&prevWasTool&&currentTurn.length>0&&(turns.push({sections:currentTurn,flatIndices:currentIndices}),currentTurn=[],currentIndices=
+[]),currentTurn.push(section2),currentIndices.push(i),prevWasTool=isTool}return currentTurn.length>0&&turns.push({sections:currentTurn,flatIndices:currentIndices}),turns});function getDefaultExpanded(section2){return section2.type===AgenticSectionType.TOOL_CALL_PENDING||section2.type===AgenticSectionType.TOOL_CALL_STREAMING?get$3(showToolCallInProgress):section2.type===AgenticSectionType.REASONING_PENDING?get$3(showThoughtInProgress):!1}function isExpanded(index2,section2){return expandedStates[index2]!==
+void 0?expandedStates[index2]:getDefaultExpanded(section2)}function toggleExpanded(index2,section2){const currentState=isExpanded(index2,section2);expandedStates[index2]=!currentState}function buildTurnAgenticTimings(stats){return{turns:1,toolCallsCount:stats.toolCalls.length,toolsMs:stats.toolsMs,toolCalls:stats.toolCalls,llm:stats.llm}}var div_16=root$1c(),node_9=child(div_16);{var consequent_14=$$anchor2=>{var fragment_10=comment$2(),node_10=first_child(fragment_10);each(node_10,17,()=>get$3(
+turnGroups),index$2,($$anchor3,turn,turnIndex)=>{const turnStats=user_derived(()=>$$props.message?.timings?.agentic?.perTurn?.[turnIndex]);var div_17=root_23$3(),span=child(div_17);span.textContent=`Turn ${turnIndex+1}`;var node_11=sibling(span,2);each(node_11,19,()=>get$3(turn).sections,(section2,sIdx)=>get$3(turn).flatIndices[sIdx],($$anchor4,section2,sIdx)=>{renderSection($$anchor4,()=>get$3(section2),()=>get$3(turn).flatIndices[get$3(sIdx)])});var node_12=sibling(node_11,2);{var consequent_13=$$anchor4=>{
+var div_18=root_25$3(),node_13=child(div_18);{let $0=user_derived(()=>get$3(turnStats).toolCalls.length>0?buildTurnAgenticTimings(get$3(turnStats)):void 0);ChatMessageStatistics(node_13,{get promptTokens(){return get$3(turnStats).llm.prompt_n},get promptMs(){return get$3(turnStats).llm.prompt_ms},get predictedTokens(){return get$3(turnStats).llm.predicted_n},get predictedMs(){return get$3(turnStats).llm.predicted_ms},get agenticTimings(){return get$3($0)},get initialView(){return ChatMessageStatsView.
+GENERATION},hideSummary:!0})}reset(div_18),append($$anchor4,div_18)};if_block(node_12,$$render=>{get$3(turnStats)&&$$render(consequent_13)})}reset(div_17),append($$anchor3,div_17)}),append($$anchor2,fragment_10)},alternate_2=$$anchor2=>{var fragment_12=comment$2(),node_14=first_child(fragment_12);each(node_14,17,()=>get$3(sectionsParsed),index$2,($$anchor3,section2,index2)=>{renderSection($$anchor3,()=>get$3(section2),()=>index2)}),append($$anchor2,fragment_12)};if_block(node_9,$$render=>{highlightTurns()&&
+get$3(turnGroups).length>1?$$render(consequent_14):$$render(alternate_2,-1)})}var node_15=sibling(node_9,2);{var consequent_15=$$anchor2=>{ChatMessageActionCardPermissionRequest($$anchor2,{get toolName(){return get$3(pendingPermission).toolName},get serverLabel(){return get$3(pendingPermission).serverLabel},onDecision:handlePermission})};if_block(node_15,$$render=>{get$3(pendingPermission)&&!get$3(permissionDismissed)&&$$render(consequent_15)})}var node_16=sibling(node_15,2);{var consequent_16=$$anchor2=>{
+ChatMessageActionCardContinueRequest($$anchor2,{onDecision:handleContinue})};if_block(node_16,$$render=>{get$3(pendingContinue)&&!get$3(continueDismissed)&&$$render(consequent_16)})}reset(div_16),append($$anchor,div_16),pop()}var root$1b=from_html("<div><!></div>");function Button_group_root($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy","class","children"]);var div=root$1b();attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1("fle\
+x items-center [&>*:first-child]:rounded-r-none [&>*:last-child]:rounded-l-none [&>*:not(:first-child):not(:last-child)]:rounded-none",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children),reset(div),append($$anchor,div),pop()}var root$1a=from_html("<div></div>");function Button_group_separator($$anchor,$$props){push$1($$props,!0);let restProps=rest_props($$props,["$$slots","$$events","$$legacy"]);var div=root$1a();attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1(
+"shrink-0 self-stretch bg-border","w-px")]),append($$anchor,div),pop()}var root_2$R=from_html('from <span class="font-semibold"> </span>',1),root_1$z=from_html('Allow use of <span class="font-semibold"> </span> <!> ?',1),root_5$o=from_html("<!> <!> <!>",1),root_10$8=from_html("Always allow <pre> </pre> tool",1),root_9$h=from_html("<!> <!>",1),root_4$u=from_html("<!> <!>",1),root_3$J=from_html("<!> <!>",1);function ChatMessageActionCardPermissionRequest($$anchor,$$props){push$1($$props,!0),ChatMessageActionCard(
+$$anchor,{get icon(){return Shield_question},message:$$anchor2=>{next$1();var fragment_1=root_1$z(),span=sibling(first_child(fragment_1)),text2=child(span,!0);reset(span);var node2=sibling(span,2);{var consequent=$$anchor3=>{var fragment_2=root_2$R(),span_1=sibling(first_child(fragment_2)),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,$$props.serverLabel)),append($$anchor3,fragment_2)};if_block(node2,$$render=>{$$props.serverLabel&&$$render(consequent)})}next$1(),template_effect(
+()=>set_text(text2,$$props.toolName)),append($$anchor2,fragment_1)},actions:$$anchor2=>{var fragment_3=root_3$J(),node_1=first_child(fragment_3);component(node_1,()=>Root$4,($$anchor3,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_4$u(),node_2=first_child(fragment_4);component(node_2,()=>Button_group_root,($$anchor5,ButtonGroup_Root)=>{ButtonGroup_Root($$anchor5,{class:"overflow-hidden rounded-md bg-foreground text-white shadow-sm dark:bg\
+-secondary dark:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_5=root_5$o(),node_3=first_child(fragment_5);Button(node_3,{class:"rounded-none! shadow-none!",size:"sm",onclick:()=>$$props.onDecision(ToolPermissionDecision.ONCE),children:($$anchor7,$$slotProps3)=>{next$1();var text_2=text$8("Allow once");append($$anchor7,text_2)},$$slots:{default:!0}});var node_4=sibling(node_3,2);component(node_4,()=>Button_group_separator,($$anchor7,ButtonGroup_Separator)=>{ButtonGroup_Separator(
+$$anchor7,{})});var node_5=sibling(node_4,2);component(node_5,()=>Dropdown_menu_trigger,($$anchor7,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor7,{children:($$anchor8,$$slotProps3)=>{Button($$anchor8,{size:"sm",class:"rounded-none! !ps-2 shadow-none!",children:($$anchor9,$$slotProps4)=>{Chevron_down($$anchor9,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor6,fragment_5)},$$slots:{default:!0}})});var node_6=sibling(node_2,2);component(node_6,()=>Dropdown_menu_content,
+($$anchor5,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor5,{align:"start",class:"min-w-[8rem]",children:($$anchor6,$$slotProps2)=>{var fragment_8=root_9$h(),node_7=first_child(fragment_8);component(node_7,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{DropdownMenu_Item($$anchor7,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS),children:($$anchor8,$$slotProps3)=>{next$1();var fragment_9=root_10$8(),pre=sibling(first_child(fragment_9)),text_3=child(pre,!0);reset(pre),next$1(),
+template_effect(()=>set_text(text_3,$$props.toolName)),append($$anchor8,fragment_9)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_9=first_child(fragment_10);component(node_9,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_1)=>{DropdownMenu_Item_1($$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_4=text$8();template_effect(()=>set_text(text_4,
+`Always allow all tools from ${$$props.serverLabel??""}`)),append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_10)},alternate=$$anchor7=>{const source2=user_derived(()=>toolsStore.getToolSource($$props.toolName)),providerName=user_derived(()=>get$3(source2)===ToolSource.BUILTIN?TOOL_SERVER_LABELS[ToolSource.BUILTIN]:get$3(source2)===ToolSource.CUSTOM?TOOL_SERVER_LABELS[ToolSource.CUSTOM]:"MCP Tools");var fragment_12=comment$2(),node_10=first_child(fragment_12);component(
+node_10,()=>Dropdown_menu_item,($$anchor8,DropdownMenu_Item_2)=>{DropdownMenu_Item_2($$anchor8,{onclick:()=>$$props.onDecision(ToolPermissionDecision.ALWAYS_SERVER),children:($$anchor9,$$slotProps3)=>{next$1();var text_5=text$8();template_effect(()=>set_text(text_5,`Approve all tools from ${get$3(providerName)??""}`)),append($$anchor9,text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_12)};if_block(node_8,$$render=>{$$props.serverLabel?$$render(consequent_1):$$render(alternate,-1)})}append(
+$$anchor6,fragment_8)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})});var node_11=sibling(node_1,2);Button(node_11,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(ToolPermissionDecision.DENY),children:($$anchor3,$$slotProps)=>{next$1();var text_6=text$8("Deny");append($$anchor3,text_6)},$$slots:{default:!0}}),append($$anchor2,fragment_3)}}),pop()}var root$19=from_html('<div class="my-2 rounded-lg bor\
+der border-border bg-card p-3"><div class="mb-3 flex items-center gap-2 text-sm"><!> <span><!></span></div> <div class="flex flex-wrap items-center gap-2"><!></div></div>');function ChatMessageActionCard($$anchor,$$props){var div=root$19(),div_1=child(div),node2=child(div_1);component(node2,()=>$$props.icon,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"h-4 w-4 shrink-0 text-muted-foreground"})});var span=sibling(node2,2),node_1=child(span);snippet(node_1,()=>$$props.message),reset(
+span),reset(div_1);var div_2=sibling(div_1,2),node_2=child(div_2);snippet(node_2,()=>$$props.actions),reset(div_2),reset(div),append($$anchor,div)}var root_2$Q=from_html("<!> <!>",1);function ChatMessageActionCardContinueRequest($$anchor,$$props){push$1($$props,!0),ChatMessageActionCard($$anchor,{get icon(){return Rotate_cw},message:$$anchor2=>{next$1();var text2=text$8("Agentic turn limit reached. Continue?");append($$anchor2,text2)},actions:$$anchor2=>{var fragment_1=root_2$Q(),node2=first_child(
+fragment_1);Button(node2,{size:"sm",onclick:()=>$$props.onDecision(!0),children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("Continue");append($$anchor3,text_1)},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"destructive",size:"sm",class:"text-destructive hover:text-destructive",onclick:()=>$$props.onDecision(!1),children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8("Stop");append($$anchor3,text_2)},$$slots:{default:!0}}),append($$anchor2,fragment_1)}}),
+pop()}var root_6$p=from_html('<div class="flex items-center gap-2"><span class="text-xs text-muted-foreground">Show raw output</span> <!></div>'),root_7$m=from_html('<div class="flex flex-col gap-4 py-2"><div class="flex flex-col gap-2"><!> <!></div> <div class="flex items-center gap-2"><!> <!></div></div>'),root$18=from_html('<div><div><!> <div class="pointer-events-auto inset-0 flex items-center gap-1 opacity-100 transition-all duration-150"><!> <!> <!> <!> <!> <!></div></div> <!></div> <!> <!\
+>',1);function ChatMessageActionIcons($$anchor,$$props){push$1($$props,!0);let siblingInfo=prop($$props,"siblingInfo",3,null),showDeleteDialog=prop($$props,"showDeleteDialog",7),showRawOutputSwitch=prop($$props,"showRawOutputSwitch",3,!1),rawOutputEnabled=prop($$props,"rawOutputEnabled",3,!1),showForkDialog=state$1(!1),forkName=state$1(""),forkIncludeAttachments=state$1(!0);function handleConfirmDelete(){$$props.onConfirmDelete(),$$props.onShowDeleteDialogChange(!1)}function handleOpenForkDialog(){
+const conv=activeConversation();set$1(forkName,`Fork of ${conv?.name??"Conversation"}`),set$1(forkIncludeAttachments,!0),set$1(showForkDialog,!0)}function handleConfirmFork(){$$props.onForkConversation?.({name:get$3(forkName).trim(),includeAttachments:get$3(forkIncludeAttachments)}),set$1(showForkDialog,!1)}var fragment=root$18(),div=first_child(fragment),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{ChatMessageActionIconsBranchingControls($$anchor2,{get siblingInfo(){return siblingInfo()},
+get onNavigateToSibling(){return $$props.onNavigateToSibling}})};if_block(node2,$$render=>{siblingInfo()&&siblingInfo().totalSiblings>1&&$$render(consequent)})}var div_2=sibling(node2,2),node_1=child(div_2);ActionIcon(node_1,{get icon(){return Copy},tooltip:"Copy",get onclick(){return $$props.onCopy}});var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return $$props.onEdit}})};if_block(node_2,$$render=>{$$props.
+onEdit&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Refresh_cw},tooltip:"Regenerate",onclick:()=>$$props.onRegenerate()})};if_block(node_3,$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onRegenerate&&$$render(consequent_2)})}var node_4=sibling(node_3,2);{var consequent_3=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Arrow_right},tooltip:"Continue",get onclick(){return $$props.onContinue}})};if_block(node_4,
+$$render=>{$$props.role===MessageRole.ASSISTANT&&$$props.onContinue&&$$render(consequent_3)})}var node_5=sibling(node_4,2);{var consequent_4=$$anchor2=>{ActionIcon($$anchor2,{get icon(){return Git_branch},tooltip:"Fork conversation",onclick:handleOpenForkDialog})};if_block(node_5,$$render=>{$$props.onForkConversation&&$$render(consequent_4)})}var node_6=sibling(node_5,2);ActionIcon(node_6,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}}),reset(div_2),reset(div_1);
+var node_7=sibling(div_1,2);{var consequent_5=$$anchor2=>{var div_3=root_6$p(),node_8=sibling(child(div_3),2);Switch(node_8,{get checked(){return rawOutputEnabled()},onCheckedChange:checked=>$$props.onRawOutputToggle?.(checked)}),reset(div_3),append($$anchor2,div_3)};if_block(node_7,$$render=>{showRawOutputSwitch()&&$$render(consequent_5)})}reset(div);var node_9=sibling(div,2);{let $0=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>1?`This will delete ${$$props.deletionInfo.
+totalCount} messages including: ${$$props.deletionInfo.userMessages} user message${$$props.deletionInfo.userMessages>1?"s":""} and ${$$props.deletionInfo.assistantMessages} assistant response${$$props.deletionInfo.assistantMessages>1?"s":""}. All messages in this branch and their responses will be permanently removed. This action cannot be undone.`:"Are you sure you want to delete this message? This action cannot be undone."),$1=user_derived(()=>$$props.deletionInfo&&$$props.deletionInfo.totalCount>
+1?`Delete ${$$props.deletionInfo.totalCount} Messages`:"Delete");DialogConfirmation(node_9,{title:"Delete Message",get description(){return get$3($0)},get confirmText(){return get$3($1)},cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>$$props.onShowDeleteDialogChange(!1),get open(){return showDeleteDialog()},set open($$value){showDeleteDialog($$value)}})}var node_10=sibling(node_9,2);DialogConfirmation(node_10,{title:"Fork Conversat\
+ion",description:"Create a new conversation branching from this message.",confirmText:"Fork",cancelText:"Cancel",get icon(){return Git_branch},onConfirm:handleConfirmFork,onCancel:()=>set$1(showForkDialog,!1),get open(){return get$3(showForkDialog)},set open($$value){set$1(showForkDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var div_4=root_7$m(),div_5=child(div_4),node_11=child(div_5);Label(node_11,{for:"fork-name",children:($$anchor3,$$slotProps2)=>{next$1();var text2=text$8("Title");
+append($$anchor3,text2)},$$slots:{default:!0}});var node_12=sibling(node_11,2);Input(node_12,{id:"fork-name",class:"text-foreground",placeholder:"Enter fork name",type:"text",get value(){return get$3(forkName)},set value($$value){set$1(forkName,$$value,!0)}}),reset(div_5);var div_6=sibling(div_5,2),node_13=child(div_6);Checkbox(node_13,{id:"fork-attachments",get checked(){return get$3(forkIncludeAttachments)},onCheckedChange:checked=>{set$1(forkIncludeAttachments,checked===!0)}});var node_14=sibling(
+node_13,2);Label(node_14,{for:"fork-attachments",class:"cursor-pointer text-sm font-normal",children:($$anchor3,$$slotProps2)=>{next$1();var text_1=text$8("Include all attachments");append($$anchor3,text_1)},$$slots:{default:!0}}),reset(div_6),reset(div_4),append($$anchor2,div_4)},$$slots:{default:!0}}),template_effect(()=>{set_class(div,1,`relative ${$$props.justify==="start"?"mt-2":""} flex h-6 items-center justify-between`),set_class(div_1,1,`${$$props.actionsPosition==="left"?"left-0":"right\
+-0"} flex items-center gap-2 opacity-100 transition-opacity`)}),append($$anchor,fragment),pop()}var root_1$y=from_html('<div role="navigation"><!> <span class="px-1 font-mono text-xs"> </span> <!></div>');function ChatMessageActionIconsBranchingControls($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),hasPrevious=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex>0),hasNext=user_derived(()=>$$props.siblingInfo&&$$props.siblingInfo.currentIndex<$$props.
+siblingInfo.totalSiblings-1),nextSiblingId=user_derived(()=>get$3(hasNext)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex+1]:null),previousSiblingId=user_derived(()=>get$3(hasPrevious)?$$props.siblingInfo.siblingIds[$$props.siblingInfo.currentIndex-1]:null);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$y(),node_1=child(div);{let $0=user_derived(()=>!get$3(hasPrevious)),$1=user_derived(()=>get$3(hasPrevious)?"":"!cursor-not-allowe\
+d opacity-30");ActionIcon(node_1,{get icon(){return Chevron_left},tooltip:"Previous version",get disabled(){return get$3($0)},get class(){return`h-5 w-5 p-0 ${get$3($1)??""}`},onclick:()=>$$props.onNavigateToSibling?.(get$3(previousSiblingId))})}var span=sibling(node_1,2),text2=child(span);reset(span);var node_2=sibling(span,2);{let $0=user_derived(()=>!get$3(hasNext)),$1=user_derived(()=>get$3(hasNext)?"":"opacity-30");ActionIcon(node_2,{get icon(){return Chevron_right},tooltip:"Next version",get disabled(){
+return get$3($0)},get class(){return`h-5 w-5 p-0 ${get$3($1)??""}`},onclick:()=>$$props.onNavigateToSibling?.(get$3(nextSiblingId))})}reset(div),template_effect(()=>{set_attribute(div,"aria-label",`Message version ${$$props.siblingInfo.currentIndex+1} of ${$$props.siblingInfo.totalSiblings??""}`),set_class(div,1,`flex items-center gap-1 text-xs text-muted-foreground ${className()??""}`),set_text(text2,`${$$props.siblingInfo.currentIndex+1}/${$$props.siblingInfo.totalSiblings??""}`)}),append($$anchor2,
+div)};if_block(node2,$$render=>{$$props.siblingInfo&&$$props.siblingInfo.totalSiblings>1&&$$render(consequent)})}append($$anchor,fragment),pop()}var root_3$I=from_html('<button type="button"><!> <span class="sr-only">Reading</span></button>'),root_4$t=from_html("<p>Reading (prompt processing)</p>"),root_2$P=from_html("<!> <!>",1),root_6$o=from_html('<button type="button"><!> <span class="sr-only">Generation</span></button>'),root_7$l=from_html("<p> </p>"),root_5$n=from_html("<!> <!>",1),root_10$7=from_html(
+'<button type="button"><!> <span class="sr-only">Tools</span></button>'),root_11$a=from_html("<p>Tool calls</p>"),root_9$g=from_html("<!> <!>",1),root_14$4=from_html('<button type="button"><!> <span class="sr-only">Summary</span></button>'),root_15$7=from_html("<p>Agentic summary</p>"),root_13$8=from_html("<!> <!>",1),root_8$m=from_html("<!> <!>",1),root_16$1=from_html("<!> <!> <!>",1),root_17$5=from_html("<!> <!> <!>",1),root_18$5=from_html("<!> <!> <!>",1),root_19$6=from_html("<!> <!> <!>",1),
+root$17=from_html('<div class="inline-flex items-center text-xs text-muted-foreground"><div class="inline-flex items-center rounded-sm bg-muted-foreground/15 p-0.5"><!> <!> <!></div> <div class="flex items-center gap-1 px-2"><!></div></div>');function ChatMessageStatistics($$anchor,$$props){push$1($$props,!0);let isLive=prop($$props,"isLive",3,!1),isProcessingPrompt=prop($$props,"isProcessingPrompt",3,!1),initialView=prop($$props,"initialView",19,()=>ChatMessageStatsView.GENERATION),hideSummary=prop(
+$$props,"hideSummary",3,!1),activeView=user_derived(initialView),hasAutoSwitchedToGeneration=state$1(!1);user_effect(()=>{$$props.onActiveViewChange?.(get$3(activeView))}),user_effect(()=>{isLive()&&(!get$3(hasAutoSwitchedToGeneration)&&!isProcessingPrompt()&&$$props.predictedTokens&&$$props.predictedTokens>0?(set$1(activeView,ChatMessageStatsView.GENERATION),set$1(hasAutoSwitchedToGeneration,!0)):get$3(hasAutoSwitchedToGeneration)||set$1(activeView,ChatMessageStatsView.READING))});let hasGenerationStats=user_derived(
+()=>$$props.predictedTokens!==void 0&&$$props.predictedTokens>0&&$$props.predictedMs!==void 0&&$$props.predictedMs>0),tokensPerSecond=user_derived(()=>get$3(hasGenerationStats)?$$props.predictedTokens/$$props.predictedMs*MS_PER_SECOND:0),formattedTime=user_derived(()=>$$props.predictedMs!==void 0?formatPerformanceTime($$props.predictedMs):DEFAULT_PERFORMANCE_TIME),promptTokensPerSecond=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&$$props.promptMs>0?$$props.promptTokens/
+$$props.promptMs*MS_PER_SECOND:void 0),formattedPromptTime=user_derived(()=>$$props.promptMs!==void 0?formatPerformanceTime($$props.promptMs):void 0),hasPromptStats=user_derived(()=>$$props.promptTokens!==void 0&&$$props.promptMs!==void 0&&get$3(promptTokensPerSecond)!==void 0&&get$3(formattedPromptTime)!==void 0),isGenerationDisabled=user_derived(()=>isLive()&&!get$3(hasGenerationStats)),hasAgenticStats=user_derived(()=>$$props.agenticTimings!==void 0&&$$props.agenticTimings.toolCallsCount>0),agenticToolsPerSecond=user_derived(
+()=>get$3(hasAgenticStats)&&$$props.agenticTimings.toolsMs>0?$$props.agenticTimings.toolCallsCount/$$props.agenticTimings.toolsMs*MS_PER_SECOND:0),formattedAgenticToolsTime=user_derived(()=>get$3(hasAgenticStats)?formatPerformanceTime($$props.agenticTimings.toolsMs):DEFAULT_PERFORMANCE_TIME),agenticTotalTimeMs=user_derived(()=>get$3(hasAgenticStats)?$$props.agenticTimings.toolsMs+$$props.agenticTimings.llm.predicted_ms+$$props.agenticTimings.llm.prompt_ms:0),formattedAgenticTotalTime=user_derived(
+()=>formatPerformanceTime(get$3(agenticTotalTimeMs)));var div=root$17(),div_1=child(div),node2=child(div_1);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$P(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button=root_3$I(),
+node_3=child(button);Book_open_text(node_3,{class:"h-3 w-3"}),next$1(2),reset(button),template_effect(()=>set_class(button,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.READING?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button,()=>set$1(activeView,ChatMessageStatsView.READING)),append($$anchor6,button)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,
+($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$t();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{(get$3(hasPromptStats)||isLive())&&$$render(consequent)})}var node_5=sibling(node2,2);component(node_5,()=>Root$5,($$anchor2,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor2,{children:($$anchor3,$$slotProps)=>{var fragment_2=root_5$n(),node_6=first_child(
+fragment_2);component(node_6,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var button_1=root_6$o(),node_7=child(button_1);Sparkles(node_7,{class:"h-3 w-3"}),next$1(2),reset(button_1),template_effect(()=>{set_class(button_1,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.GENERATION?"bg-background text-foreground shadow-sm":get$3(isGenerationDisabled)?"c\
+ursor-not-allowed opacity-40":"hover:text-foreground"}`),button_1.disabled=get$3(isGenerationDisabled)}),delegated("click",button_1,()=>!get$3(isGenerationDisabled)&&set$1(activeView,ChatMessageStatsView.GENERATION)),append($$anchor5,button_1)},$$slots:{default:!0}})});var node_8=sibling(node_6,2);component(node_8,()=>Tooltip_content,($$anchor4,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var p_1=root_7$l(),text2=child(p_1,!0);reset(p_1),template_effect(()=>set_text(
+text2,get$3(isGenerationDisabled)?"Generation (waiting for tokens...)":"Generation (token output)")),append($$anchor5,p_1)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)},$$slots:{default:!0}})});var node_9=sibling(node_5,2);{var consequent_2=$$anchor2=>{var fragment_3=root_8$m(),node_10=first_child(fragment_3);component(node_10,()=>Root$5,($$anchor3,Tooltip_Root_2)=>{Tooltip_Root_2($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_4=root_9$g(),node_11=first_child(fragment_4);component(
+node_11,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_2)=>{Tooltip_Trigger_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var button_2=root_10$7(),node_12=child(button_2);Wrench(node_12,{class:"h-3 w-3"}),next$1(2),reset(button_2),template_effect(()=>set_class(button_2,1,`inline-flex h-5 w-5 items-center justify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.TOOLS?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button_2,()=>set$1(
+activeView,ChatMessageStatsView.TOOLS)),append($$anchor6,button_2)},$$slots:{default:!0}})});var node_13=sibling(node_11,2);component(node_13,()=>Tooltip_content,($$anchor5,Tooltip_Content_2)=>{Tooltip_Content_2($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_2=root_11$a();append($$anchor6,p_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})});var node_14=sibling(node_10,2);{var consequent_1=$$anchor3=>{var fragment_5=comment$2(),node_15=first_child(fragment_5);
+component(node_15,()=>Root$5,($$anchor4,Tooltip_Root_3)=>{Tooltip_Root_3($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_6=root_13$8(),node_16=first_child(fragment_6);component(node_16,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_3)=>{Tooltip_Trigger_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var button_3=root_14$4(),node_17=child(button_3);Layers(node_17,{class:"h-3 w-3"}),next$1(2),reset(button_3),template_effect(()=>set_class(button_3,1,`inline-flex h-5 w-5 items-center jus\
+tify-center rounded-sm transition-colors ${get$3(activeView)===ChatMessageStatsView.SUMMARY?"bg-background text-foreground shadow-sm":"hover:text-foreground"}`)),delegated("click",button_3,()=>set$1(activeView,ChatMessageStatsView.SUMMARY)),append($$anchor7,button_3)},$$slots:{default:!0}})});var node_18=sibling(node_16,2);component(node_18,()=>Tooltip_content,($$anchor6,Tooltip_Content_3)=>{Tooltip_Content_3($$anchor6,{children:($$anchor7,$$slotProps2)=>{var p_3=root_15$7();append($$anchor7,p_3)},
+$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),append($$anchor3,fragment_5)};if_block(node_14,$$render=>{hideSummary()||$$render(consequent_1)})}append($$anchor2,fragment_3)};if_block(node_9,$$render=>{get$3(hasAgenticStats)&&$$render(consequent_2)})}reset(div_1);var div_2=sibling(div_1,2),node_19=child(div_2);{var consequent_3=$$anchor2=>{var fragment_7=root_16$1(),node_20=first_child(fragment_7);{let $0=user_derived(()=>$$props.predictedTokens?.toLocaleString());
+ChatMessageStatisticsBadge(node_20,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Generated tokens"})}var node_21=sibling(node_20,2);ChatMessageStatisticsBadge(node_21,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedTime)},tooltipLabel:"Generation time"});var node_22=sibling(node_21,2);{let $0=user_derived(()=>get$3(tokensPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_22,{class:"bg-transp\
+arent",get icon(){return Gauge},get value(){return`${get$3($0)??""} t/s`},tooltipLabel:"Generation speed"})}append($$anchor2,fragment_7)},consequent_4=$$anchor2=>{var fragment_8=root_17$5(),node_23=first_child(fragment_8);ChatMessageStatisticsBadge(node_23,{class:"bg-transparent",get icon(){return Wrench},get value(){return`${$$props.agenticTimings.toolCallsCount??""} calls`},tooltipLabel:"Tool calls executed"});var node_24=sibling(node_23,2);ChatMessageStatisticsBadge(node_24,{class:"bg-transpa\
+rent",get icon(){return Clock},get value(){return get$3(formattedAgenticToolsTime)},tooltipLabel:"Tool execution time"});var node_25=sibling(node_24,2);{let $0=user_derived(()=>get$3(agenticToolsPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_25,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} calls/s`},tooltipLabel:"Tool execution rate"})}append($$anchor2,fragment_8)},consequent_5=$$anchor2=>{var fragment_9=root_18$5(),node_26=first_child(fragment_9);ChatMessageStatisticsBadge(
+node_26,{class:"bg-transparent",get icon(){return Layers},get value(){return`${$$props.agenticTimings.turns??""} turns`},tooltipLabel:"Agentic turns (LLM calls)"});var node_27=sibling(node_26,2);{let $0=user_derived(()=>$$props.agenticTimings.llm.predicted_n.toLocaleString());ChatMessageStatisticsBadge(node_27,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${get$3($0)??""} tokens`},tooltipLabel:"Total tokens generated"})}var node_28=sibling(node_27,2);ChatMessageStatisticsBadge(
+node_28,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3(formattedAgenticTotalTime)},tooltipLabel:"Total time (LLM + tools)"}),append($$anchor2,fragment_9)},consequent_6=$$anchor2=>{var fragment_10=root_19$6(),node_29=first_child(fragment_10);ChatMessageStatisticsBadge(node_29,{class:"bg-transparent",get icon(){return Whole_word},get value(){return`${$$props.promptTokens??""} tokens`},tooltipLabel:"Prompt tokens"});var node_30=sibling(node_29,2);{let $0=user_derived(()=>get$3(
+formattedPromptTime)??"0s");ChatMessageStatisticsBadge(node_30,{class:"bg-transparent",get icon(){return Clock},get value(){return get$3($0)},tooltipLabel:"Prompt processing time"})}var node_31=sibling(node_30,2);{let $0=user_derived(()=>get$3(promptTokensPerSecond).toFixed(2));ChatMessageStatisticsBadge(node_31,{class:"bg-transparent",get icon(){return Gauge},get value(){return`${get$3($0)??""} tokens/s`},tooltipLabel:"Prompt processing speed"})}append($$anchor2,fragment_10)};if_block(node_19,$$render=>{
+get$3(activeView)===ChatMessageStatsView.GENERATION&&get$3(hasGenerationStats)?$$render(consequent_3):get$3(activeView)===ChatMessageStatsView.TOOLS&&get$3(hasAgenticStats)?$$render(consequent_4,1):get$3(activeView)===ChatMessageStatsView.SUMMARY&&get$3(hasAgenticStats)?$$render(consequent_5,2):get$3(hasPromptStats)&&$$render(consequent_6,3)})}reset(div_2),reset(div),append($$anchor,div),pop()}delegate(["click"]);var root_6$n=from_html("<p> </p>"),root_2$O=from_html("<!> <!>",1);function ChatMessageStatisticsBadge($$anchor,$$props){
+push$1($$props,!0);let className=prop($$props,"class",3,"");function handleClick(){copyToClipboard(String($$props.value))}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$O(),node_2=first_child(fragment_2);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger(
+$$anchor5,{children:($$anchor6,$$slotProps2)=>{BadgeInfo($$anchor6,{get class(){return className()},onclick:handleClick,icon:$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(node_3,()=>$$props.icon,($$anchor8,IconComponent_1)=>{IconComponent_1($$anchor8,{class:"h-3 w-3"})}),append($$anchor7,fragment_4)},children:($$anchor7,$$slotProps3)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.value)),append($$anchor7,text2)},$$slots:{icon:!0,default:!0}})},
+$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_6$n(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.tooltipLabel)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},alternate=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},onclick:handleClick,
+icon:$$anchor3=>{var fragment_7=comment$2(),node_5=first_child(fragment_7);component(node_5,()=>$$props.icon,($$anchor4,IconComponent_2)=>{IconComponent_2($$anchor4,{class:"h-3 w-3"})}),append($$anchor3,fragment_7)},children:($$anchor3,$$slotProps)=>{next$1();var text_2=text$8();template_effect(()=>set_text(text_2,$$props.value)),append($$anchor3,text_2)},$$slots:{icon:!0,default:!0}})};if_block(node2,$$render=>{$$props.tooltipLabel?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),
+pop()}var root_3$H=from_html('<div class="max-w-[80%]"><!></div>'),root_2$N=from_html("<!> <!>",1),root$16=from_html('<div aria-label="MCP Prompt message with actions" role="group"><!></div>');function ChatMessageMcpPrompt($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext();var div=root$16(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{
+var fragment_1=root_2$N(),node_1=first_child(fragment_1);ChatMessageMcpPromptContent(node_1,{get prompt(){return $$props.mcpPrompt},get variant(){return McpPromptVariant.MESSAGE},class:"w-full max-w-[80%]"});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$H(),node_3=child(div_1);ChatMessageActionIcons(node_3,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.
+onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block(node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block(
+node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root$15=from_html("<div><!></div>");function Card($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$15();attribute_effect(div,$0=>({"data-slot":"ca\
+rd",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-6 rounded-xl bg-card py-6 text-card-foreground shadow-sm",BOX_BORDER,$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_3$G=from_html('<img alt="" class="h-3.5 w-3.5 shrink-0 rounded-sm"/>'),root_4$s=from_html("<span> </span>"),root_1$x=from_html("<!> <!>",1),root_8$l=from_html("<span> </span>"),root_9$f=from_html(
+'<span class="max-w-xs break-all"> </span>'),root_7$k=from_html("<!> <!>",1),root_5$m=from_html('<div class="flex flex-wrap justify-end gap-1"></div>'),root_11$9=from_html("<div><span> </span></div>"),root_13$7=from_html('<div><div class="space-y-2"><div class="h-3 w-3/4 animate-pulse rounded bg-foreground/20"></div> <div class="h-3 w-full animate-pulse rounded bg-foreground/20"></div> <div class="h-3 w-5/6 animate-pulse rounded bg-foreground/20"></div></div></div>'),root_17$4=from_html("<span> \
+</span>"),root_18$4=from_html("<span> </span>"),root_15$6=from_html("<div><span></span></div>"),root$14=from_html('<div><div class="flex items-center justify-between gap-2"><div class="inline-flex flex-wrap items-center gap-1.25 text-xs text-muted-foreground"><!> <!></div> <!></div> <!></div>');function ChatMessageMcpPromptContent($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),variant=prop($$props,"variant",19,()=>McpPromptVariant.MESSAGE),isLoading2=prop($$props,"\
+isLoading",3,!1),hoveredArgKey=state$1(null),argumentEntries=user_derived(()=>Object.entries($$props.prompt.arguments??{})),hasArguments=user_derived(()=>$$props.prompt.arguments&&Object.keys($$props.prompt.arguments).length>0),hasContent=user_derived(()=>$$props.prompt.content&&$$props.prompt.content.trim().length>0),contentParts=user_derived(()=>{if(!$$props.prompt.content||!get$3(hasArguments))return[{text:$$props.prompt.content||"",argKey:null}];const parts=[];let remaining=$$props.prompt.content;
+const valueToKey=new SvelteMap;for(const[key2,value]of get$3(argumentEntries))value&&value.trim()&&valueToKey.set(value,key2);const sortedValues=[...valueToKey.keys()].sort((a,b)=>b.length-a.length);for(;remaining.length>0;){let earliestMatch=null;for(const value of sortedValues){const index2=remaining.indexOf(value);index2!==-1&&(earliestMatch===null||index2<earliestMatch.index)&&(earliestMatch={index:index2,value,key:valueToKey.get(value)})}if(earliestMatch)earliestMatch.index>0&&parts.push({text:remaining.
+slice(0,earliestMatch.index),argKey:null}),parts.push({text:earliestMatch.value,argKey:earliestMatch.key}),remaining=remaining.slice(earliestMatch.index+earliestMatch.value.length);else{parts.push({text:remaining,argKey:null});break}}return parts}),showArgBadges=user_derived(()=>get$3(hasArguments)&&!isLoading2()&&!$$props.loadError),isAttachment=user_derived(()=>variant()===McpPromptVariant.ATTACHMENT),textSizeClass=user_derived(()=>get$3(isAttachment)?"text-xs":"text-md"),paddingClass=user_derived(
+()=>get$3(isAttachment)?"px-3 py-2":"px-3.75 py-2.5"),maxHeightStyle=user_derived(()=>get$3(isAttachment)?"max-height: 6rem;":"max-height: var(--max-message-height);");const serverFavicon=user_derived(()=>mcpStore.getServerFavicon($$props.prompt.serverName)),serverDisplayName=user_derived(()=>mcpStore.getServerDisplayName($$props.prompt.serverName));var div=root$14(),div_1=child(div),div_2=child(div_1),node2=child(div_2);component(node2,()=>Root$5,($$anchor2,Tooltip_Root)=>{Tooltip_Root($$anchor2,
+{children:($$anchor3,$$slotProps)=>{var fragment=root_1$x(),node_1=first_child(fragment);component(node_1,()=>Tooltip_trigger,($$anchor4,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent=$$anchor6=>{var img=root_3$G();template_effect(()=>set_attribute(img,"src",get$3(serverFavicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor6,img)};if_block(
+node_2,$$render=>{get$3(serverFavicon)&&$$render(consequent)})}append($$anchor5,fragment_1)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Tooltip_content,($$anchor4,Tooltip_Content)=>{Tooltip_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var span=root_4$s(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,get$3(serverDisplayName))),append($$anchor5,span)},$$slots:{default:!0}})}),append($$anchor3,fragment)},$$slots:{default:!0}})});var node_4=sibling(
+node2,2);TruncatedText(node_4,{get text(){return $$props.prompt.name}}),reset(div_2);var node_5=sibling(div_2,2);{var consequent_1=$$anchor2=>{var div_3=root_5$m();each(div_3,21,()=>get$3(argumentEntries),([key2,value])=>key2,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$3($$item),2));let key2=()=>get$3($$array)[0],value=()=>get$3($$array)[1];var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor4,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor4,
+{children:($$anchor5,$$slotProps)=>{var fragment_3=root_7$k(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_1=root_8$l(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>{set_class(span_1,1,`rounded-sm bg-purple-200/60 px-1.5 py-0.5 text-[10px] leading-none text-purple-700 transition-opacity dark:bg-purple-800/40 dark:text-purple-300 ${get$3(hoveredArgKey)&&get$3(
+hoveredArgKey)!==key2()?"opacity-30":""}`),set_text(text_1,key2())}),event("mouseenter",span_1,()=>set$1(hoveredArgKey,key2(),!0)),event("mouseleave",span_1,()=>set$1(hoveredArgKey,null)),append($$anchor7,span_1)},$$slots:{default:!0}})});var node_8=sibling(node_7,2);component(node_8,()=>Tooltip_content,($$anchor6,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor6,{children:($$anchor7,$$slotProps2)=>{var span_2=root_9$f(),text_2=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_2,value())),
+append($$anchor7,span_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)}),reset(div_3),append($$anchor2,div_3)};if_block(node_5,$$render=>{get$3(showArgBadges)&&$$render(consequent_1)})}reset(div_1);var node_9=sibling(div_1,2);{var consequent_2=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] border border-destructive/50 bg-destructive/10 backdrop-blur-md",children:($$anchor3,$$slotProps)=>{var div_4=root_11$9(),
+span_3=child(div_4),text_3=child(span_3,!0);reset(span_3),reset(div_4),template_effect(()=>{set_class(div_4,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_4,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_3,1,`${get$3(textSizeClass)??""} text-destructive`),set_text(text_3,$$props.loadError)}),append($$anchor3,div_4)},$$slots:{default:!0}})},consequent_3=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] bo\
+rder border-purple-200 bg-purple-500/10 px-1 py-2 backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_5=root_13$7();template_effect(()=>{set_class(div_5,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_5,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`)}),append($$anchor3,div_5)},$$slots:{default:!0}})},consequent_5=$$anchor2=>{Card($$anchor2,{class:"relative overflow-hidden rounded-[1.125rem] borde\
+r border-purple-200 bg-purple-500/10 py-0 text-foreground backdrop-blur-md dark:border-purple-800 dark:bg-purple-500/20",children:($$anchor3,$$slotProps)=>{var div_6=root_15$6(),span_4=child(div_6);each(span_4,21,()=>get$3(contentParts),index$2,($$anchor4,part)=>{var fragment_7=comment$2(),node_10=first_child(fragment_7);{var consequent_4=$$anchor5=>{var span_5=root_17$4(),text_4=child(span_5,!0);reset(span_5),template_effect(()=>{set_class(span_5,1,`rounded-sm bg-purple-300/50 px-0.5 text-purpl\
+e-900 transition-opacity dark:bg-purple-700/50 dark:text-purple-100 ${get$3(hoveredArgKey)&&get$3(hoveredArgKey)!==get$3(part).argKey?"opacity-30":""}`),set_text(text_4,get$3(part).text)}),event("mouseenter",span_5,()=>set$1(hoveredArgKey,get$3(part).argKey,!0)),event("mouseleave",span_5,()=>set$1(hoveredArgKey,null)),append($$anchor5,span_5)},alternate=$$anchor5=>{var span_6=root_18$4(),text_5=child(span_6,!0);reset(span_6),template_effect(()=>{set_class(span_6,1,`transition-opacity ${get$3(hoveredArgKey)?
+"opacity-30":""}`),set_text(text_5,get$3(part).text)}),append($$anchor5,span_6)};if_block(node_10,$$render=>{get$3(part).argKey?$$render(consequent_4):$$render(alternate,-1)})}append($$anchor4,fragment_7)}),reset(span_4),reset(div_6),template_effect(()=>{set_class(div_6,1,`overflow-y-auto ${get$3(paddingClass)??""}`),set_style(div_6,`${get$3(maxHeightStyle)??""} overflow-wrap: anywhere; word-break: break-word;`),set_class(span_4,1,`${get$3(textSizeClass)??""} whitespace-pre-wrap`)}),append($$anchor3,
+div_6)},$$slots:{default:!0}})};if_block(node_9,$$render=>{$$props.loadError?$$render(consequent_2):isLoading2()?$$render(consequent_3,1):get$3(hasContent)&&$$render(consequent_5,2)})}reset(div),template_effect(()=>set_class(div,1,`flex flex-col gap-2 ${className()??""}`)),append($$anchor,div),pop()}function useProcessingState(){let isMonitoring=state$1(!1),lastKnownState=state$1(null),lastKnownProcessingStats=state$1(null);const processingState=user_derived(()=>get$3(isMonitoring)?activeProcessingState():
+get$3(lastKnownState));user_effect(()=>{get$3(processingState)&&get$3(isMonitoring)&&set$1(lastKnownState,get$3(processingState),!0)}),user_effect(()=>{if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);set$1(lastKnownProcessingStats,{tokensProcessed:actualProcessed,totalTokens:actualTotal,
+timeMs:time_ms,tokensPerSecond},!0)}}});function getETASecs(done,total,elapsedMs){const elapsedSecs=elapsedMs/1e3;return done===0||elapsedSecs<.5?void 0:elapsedSecs*(total/done-1)}function startMonitoring(){get$3(isMonitoring)||set$1(isMonitoring,!0)}function stopMonitoring(){if(!get$3(isMonitoring))return;set$1(isMonitoring,!1),config$1().keepStatsVisible||(set$1(lastKnownState,null),set$1(lastKnownProcessingStats,null))}function getProcessingMessage(){if(!get$3(processingState))return"Processi\
+ng...";switch(get$3(processingState).status){case"initializing":return"Initializing...";case"preparing":return get$3(processingState).progressPercent!==void 0?`Processing (${get$3(processingState).progressPercent}%)`:"Preparing response...";case"generating":return"";default:return"Processing..."}}function getProcessingDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(stateToUse.promptProgress){const{processed,total,time_ms,cache:cache2}=stateToUse.
+promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed<actualTotal&&actualProcessed>0){const percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);details.push(`Processing ${percent}% (ETA: ${etaSecs}s)`)}else details.push(`Processing ${percent}%`)}}if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.
+round(stateToUse.contextUsed/stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.
+tokensPerSecond&&stateToUse.tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function getTechnicalDetails(){const stateToUse=get$3(processingState)||get$3(lastKnownState);if(!stateToUse)return[];const details=[];if(typeof stateToUse.contextTotal=="number"&&stateToUse.contextUsed>=0&&stateToUse.contextTotal>0){const contextPercent=Math.round(stateToUse.contextUsed/
+stateToUse.contextTotal*100);details.push(`Context: ${stateToUse.contextUsed}/${stateToUse.contextTotal} (${contextPercent}%)`)}if(stateToUse.outputTokensUsed>0)if(stateToUse.outputTokensMax<=0)details.push(`Output: ${stateToUse.outputTokensUsed}/∞`);else{const outputPercent=Math.round(stateToUse.outputTokensUsed/stateToUse.outputTokensMax*100);details.push(`Output: ${stateToUse.outputTokensUsed}/${stateToUse.outputTokensMax} (${outputPercent}%)`)}return stateToUse.tokensPerSecond&&stateToUse.
+tokensPerSecond>0&&details.push(`${stateToUse.tokensPerSecond.toFixed(1)} ${STATS_UNITS.TOKENS_PER_SECOND}`),stateToUse.speculative&&details.push("Speculative decoding enabled"),details}function shouldShowDetails(){return get$3(processingState)!==null&&get$3(processingState).status!=="idle"}function getPromptProgressText(){if(!get$3(processingState)?.promptProgress)return null;const{processed,total,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-
+cache2,percent=Math.round(actualProcessed/actualTotal*100),eta=getETASecs(actualProcessed,actualTotal,get$3(processingState).promptProgress.time_ms);if(eta!==void 0){const etaSecs=Math.ceil(eta);return`Processing ${percent}% (ETA: ${etaSecs}s)`}return`Processing ${percent}%`}function getLiveProcessingStats(){if(get$3(processingState)?.promptProgress){const{processed,total,time_ms,cache:cache2}=get$3(processingState).promptProgress,actualProcessed=processed-cache2,actualTotal=total-cache2;if(actualProcessed>
+0&&time_ms>0){const tokensPerSecond=actualProcessed/(time_ms/1e3);return{tokensProcessed:actualProcessed,totalTokens:actualTotal,timeMs:time_ms,tokensPerSecond}}}return get$3(lastKnownProcessingStats)}function getLiveGenerationStats(){if(!get$3(processingState))return null;const{tokensDecoded,tokensPerSecond}=get$3(processingState);if(tokensDecoded<=0)return null;const timeMs=tokensPerSecond&&tokensPerSecond>0?tokensDecoded/tokensPerSecond*1e3:0;return{tokensGenerated:tokensDecoded,timeMs,tokensPerSecond:tokensPerSecond||
+0}}return{get processingState(){return get$3(processingState)},getProcessingDetails,getTechnicalDetails,getProcessingMessage,getPromptProgressText,getLiveProcessingStats,getLiveGenerationStats,shouldShowDetails,startMonitoring,stopMonitoring}}var root_1$w=from_html('<div class="mt-6 w-full max-w-[48rem]"><div class="processing-container svelte-3902tz"><span class="processing-text svelte-3902tz"> </span></div></div>'),root_4$r=from_html('<pre class="raw-output svelte-3902tz"> </pre>'),root_6$m=from_html(
+'<div class="text-sm whitespace-pre-wrap"> </div>'),root_7$j=from_html('<div class="mt-4 w-full max-w-[48rem]"><div class="processing-container svelte-3902tz"><span class="processing-text svelte-3902tz"> </span></div></div>'),root_8$k=from_html('<div class="inline-flex flex-wrap items-start gap-2 text-xs text-muted-foreground"><!> <!></div>'),root$13=from_html('<div role="group" aria-label="Assistant message with actions"><!> <!> <!> <div class="info my-6 grid gap-4 tabular-nums"><!></div> <!></\
+div>');function ChatMessageAssistant($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),isLastAssistantMessage=prop($$props,"isLastAssistantMessage",3,!1),toolMessages=prop($$props,"toolMessages",19,()=>[]),siblingInfo=prop($$props,"siblingInfo",3,null);const editCtx=getMessageEditContext(),isAgentic=user_derived(()=>hasAgenticContent($$props.message,toolMessages())),hasReasoning=user_derived(()=>!!$$props.message.reasoningContent),processingState=useProcessingState();
+let currentConfig=user_derived(config$1),isRouter=user_derived(isRouterMode),showRawOutput=state$1(!1),rawOutputContent=user_derived(()=>{const sections=deriveAgenticSections($$props.message,toolMessages(),[],!1),parts=[];for(const section2 of sections)switch(section2.type){case AgenticSectionType.REASONING:case AgenticSectionType.REASONING_PENDING:parts.push(`${REASONING_TAGS.START}
+${section2.content}
+${REASONING_TAGS.END}`);break;case AgenticSectionType.TEXT:parts.push(section2.content);break;case AgenticSectionType.TOOL_CALL:case AgenticSectionType.TOOL_CALL_PENDING:case AgenticSectionType.TOOL_CALL_STREAMING:{const callObj={name:section2.toolName};if(section2.toolArgs)try{callObj.arguments=JSON.parse(section2.toolArgs)}catch{callObj.arguments=section2.toolArgs}parts.push(JSON.stringify(callObj,null,2)),section2.toolResult&&parts.push(`[Tool Result]
+${section2.toolResult}`);break}}return parts.join(`
+
+
+`)}),activeStatsView=state$1(proxy(ChatMessageStatsView.GENERATION)),statsContainerEl=state$1(void 0);function getScrollParent(el){let parent=el.parentElement;for(;parent;){const style2=getComputedStyle(parent);if(/(auto|scroll)/.test(style2.overflowY))return parent;parent=parent.parentElement}return null}async function handleStatsViewChange(view){const el=get$3(statsContainerEl);if(!el){set$1(activeStatsView,view,!0);return}const scrollParent=getScrollParent(el);if(!scrollParent){set$1(activeStatsView,
+view,!0);return}const yBefore=el.getBoundingClientRect().top;set$1(activeStatsView,view,!0),await tick();const delta=el.getBoundingClientRect().top-yBefore;delta!==0&&(scrollParent.scrollTop+=delta),requestAnimationFrame(()=>{const drift=el.getBoundingClientRect().top-yBefore;Math.abs(drift)>1&&(scrollParent.scrollTop+=drift)})}let highlightAgenticTurns=user_derived(()=>get$3(isAgentic)&&(get$3(currentConfig).alwaysShowAgenticTurns||get$3(activeStatsView)===ChatMessageStatsView.SUMMARY)),displayedModel=user_derived(
+()=>$$props.message.model??null),isCurrentlyLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),hasNoContent=user_derived(()=>!$$props.message?.content?.trim()),isActivelyProcessing=user_derived(()=>get$3(isCurrentlyLoading)||get$3(isStreaming)),showProcessingInfoTop=user_derived(()=>$$props.message?.role===MessageRole.ASSISTANT&&get$3(isActivelyProcessing)&&get$3(hasNoContent)&&!get$3(isAgentic)&&isLastAssistantMessage()),showProcessingInfoBottom=user_derived(()=>$$props.message?.
+role===MessageRole.ASSISTANT&&get$3(isActivelyProcessing)&&(!get$3(hasNoContent)||get$3(isAgentic))&&isLastAssistantMessage());function handleCopyModel(){copyToClipboard(get$3(displayedModel)??"")}user_effect(()=>{(get$3(showProcessingInfoTop)||get$3(showProcessingInfoBottom))&&processingState.startMonitoring()});var div=root$13(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$w(),div_2=child(div_1),span=child(div_2),text2=child(span,!0);reset(span),reset(div_2),reset(div_1),template_effect(
+$0=>set_text(text2,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_1,()=>fade),append($$anchor2,div_1)};if_block(node2,$$render=>{get$3(showProcessingInfoTop)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_2=$$anchor3=>{var pre=root_4$r(),text_1=child(pre,
+!0);reset(pre),template_effect(()=>set_text(text_1,get$3(rawOutputContent)||"")),append($$anchor3,pre)},alternate=$$anchor3=>{{let $0=user_derived(isChatStreaming);ChatMessageAgenticContent($$anchor3,{get message(){return $$props.message},get toolMessages(){return toolMessages()},get isStreaming(){return get$3($0)},get isLastAssistantMessage(){return isLastAssistantMessage()},get highlightTurns(){return get$3(highlightAgenticTurns)}})}};if_block(node_2,$$render=>{get$3(showRawOutput)?$$render(consequent_2):
+$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_1=$$anchor2=>{var div_3=root_6$m(),text_2=child(div_3,!0);reset(div_3),template_effect(()=>set_text(text_2,$$props.messageContent)),append($$anchor2,div_3)};if_block(node_1,$$render=>{editCtx.isEditing?$$render(consequent_1):$$props.message.role===MessageRole.ASSISTANT?$$render(consequent_3,1):$$render(alternate_1,-1)})}var node_3=sibling(node_1,2);{var consequent_4=$$anchor2=>{var div_4=root_7$j(),div_5=child(div_4),span_1=child(div_5),
+text_3=child(span_1,!0);reset(span_1),reset(div_5),reset(div_4),template_effect($0=>set_text(text_3,$0),[()=>processingState.getPromptProgressText()??processingState.getProcessingMessage()??"Processing..."]),transition(1,div_4,()=>fade),append($$anchor2,div_4)};if_block(node_3,$$render=>{get$3(showProcessingInfoBottom)&&$$render(consequent_4)})}var div_6=sibling(node_3,2),node_4=child(div_6);{var consequent_9=$$anchor2=>{var div_7=root_8$k(),node_5=child(div_7);{var consequent_5=$$anchor3=>{{let $0=user_derived(
+isLoading);ModelsSelectorDropdown($$anchor3,{get currentModel(){return get$3(displayedModel)},get disabled(){return get$3($0)},onModelChange:async(modelId,modelName)=>(modelsStore.getModelStatus(modelId)!==ServerModelStatus.LOADED&&await modelsStore.loadModel(modelId),$$props.onRegenerate(modelName),!0)})}},alternate_2=$$anchor3=>{{let $0=user_derived(()=>get$3(displayedModel)||void 0);ModelBadge($$anchor3,{get model(){return get$3($0)},onclick:handleCopyModel})}};if_block(node_5,$$render=>{get$3(
+isRouter)?$$render(consequent_5):$$render(alternate_2,-1)})}var node_6=sibling(node_5,2);{var consequent_6=$$anchor3=>{const agentic=user_derived(()=>$$props.message.timings.agentic);{let $0=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_n:$$props.message.timings.prompt_n),$1=user_derived(()=>get$3(agentic)?get$3(agentic).llm.prompt_ms:$$props.message.timings.prompt_ms),$2=user_derived(()=>get$3(agentic)?get$3(agentic).llm.predicted_n:$$props.message.timings.predicted_n),$3=user_derived(
+()=>get$3(agentic)?get$3(agentic).llm.predicted_ms:$$props.message.timings.predicted_ms);ChatMessageStatistics($$anchor3,{get promptTokens(){return get$3($0)},get promptMs(){return get$3($1)},get predictedTokens(){return get$3($2)},get predictedMs(){return get$3($3)},get agenticTimings(){return get$3(agentic)},onActiveViewChange:handleStatsViewChange})}},consequent_8=$$anchor3=>{const liveStats=user_derived(()=>processingState.getLiveProcessingStats()),genStats=user_derived(()=>processingState.getLiveGenerationStats()),
+promptProgress=user_derived(()=>processingState.processingState?.promptProgress),isStillProcessingPrompt=user_derived(()=>get$3(promptProgress)&&get$3(promptProgress).processed<get$3(promptProgress).total);var fragment_6=comment$2(),node_7=first_child(fragment_6);{var consequent_7=$$anchor4=>{{let $0=user_derived(()=>!!get$3(isStillProcessingPrompt)),$1=user_derived(()=>get$3(liveStats)?.tokensProcessed),$2=user_derived(()=>get$3(liveStats)?.timeMs),$3=user_derived(()=>get$3(genStats)?.tokensGenerated),
+$4=user_derived(()=>get$3(genStats)?.timeMs);ChatMessageStatistics($$anchor4,{isLive:!0,get isProcessingPrompt(){return get$3($0)},get promptTokens(){return get$3($1)},get promptMs(){return get$3($2)},get predictedTokens(){return get$3($3)},get predictedMs(){return get$3($4)}})}};if_block(node_7,$$render=>{(get$3(liveStats)||get$3(genStats))&&$$render(consequent_7)})}append($$anchor3,fragment_6)},d2=user_derived(()=>isLoading()&&get$3(currentConfig).showMessageStats);if_block(node_6,$$render=>{get$3(
+currentConfig).showMessageStats&&$$props.message.timings&&$$props.message.timings.predicted_n&&$$props.message.timings.predicted_ms?$$render(consequent_6):get$3(d2)&&$$render(consequent_8,1)})}reset(div_7),bind_this(div_7,$$value=>set$1(statsContainerEl,$$value),()=>get$3(statsContainerEl)),append($$anchor2,div_7)};if_block(node_4,$$render=>{get$3(displayedModel)&&$$render(consequent_9)})}reset(div_6);var node_8=sibling(div_6,2);{var consequent_10=$$anchor2=>{{let $0=user_derived(()=>get$3(currentConfig).
+enableContinueGeneration&&!get$3(hasReasoning)?$$props.onContinue:void 0);ChatMessageActionIcons($$anchor2,{get role(){return MessageRole.ASSISTANT},justify:"start",actionsPosition:"left",get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.showDeleteDialog},get deletionInfo(){return $$props.deletionInfo},get onCopy(){return $$props.onCopy},get onEdit(){return $$props.onEdit},get onRegenerate(){return $$props.onRegenerate},get onContinue(){return get$3($0)},get onForkConversation(){
+return $$props.onForkConversation},get onDelete(){return $$props.onDelete},get onConfirmDelete(){return $$props.onConfirmDelete},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get showRawOutputSwitch(){return get$3(currentConfig).showRawOutputSwitch},get rawOutputEnabled(){return get$3(showRawOutput)},onRawOutputToggle:enabled=>set$1(showRawOutput,enabled,!0)})}};if_block(node_8,$$render=>{$$props.message.timestamp&&
+!editCtx.isEditing&&$$render(consequent_10)})}reset(div),template_effect(()=>set_class(div,1,`text-md group w-full leading-7.5 ${className()??""}`,"svelte-3902tz")),append($$anchor,div),pop()}var root_1$v=from_html('<div class="flex items-center gap-2"><!> <label for="save-only-switch" class="cursor-pointer text-xs text-muted-foreground">Update without re-sending</label></div>'),root_2$M=from_html('<div class="flex items-center gap-2"><!> <label for="branch-after-edit" class="cursor-pointer text\
+-xs text-muted-foreground">Branch conversation after edit</label></div>'),root_3$F=from_html("<div></div>"),root_4$q=from_html("<!> Cancel",1),root$12=from_html('<div class="relative w-full max-w-[80%]"><!></div> <div class="mt-2 flex w-full max-w-[80%] items-center justify-between"><!> <!></div> <!>',1);function ChatMessageEditForm($$anchor,$$props){push$1($$props,!0);const editCtx=getMessageEditContext();let saveWithoutRegenerate=state$1(!1),showDiscardDialog=state$1(!1),branchAfterEdit=state$1(
+!1),isUserMessage=user_derived(()=>editCtx.messageRole===MessageRole.USER),isAssistantMessage=user_derived(()=>editCtx.messageRole===MessageRole.ASSISTANT),hasUnsavedChanges=user_derived(()=>!!(editCtx.editedContent!==editCtx.originalContent||editCtx.editedUploadedFiles.length>0||editCtx.editedExtras.length!==editCtx.originalExtras.length||editCtx.editedExtras.some((extra,i)=>extra!==editCtx.originalExtras[i]))),hasAttachments=user_derived(()=>editCtx.editedExtras&&editCtx.editedExtras.length>0||
+editCtx.editedUploadedFiles&&editCtx.editedUploadedFiles.length>0),canSubmit=user_derived(()=>editCtx.editedContent.trim().length>0||get$3(hasAttachments));function handleGlobalKeydown(event2){event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),attemptCancel())}function attemptCancel(){get$3(hasUnsavedChanges)?set$1(showDiscardDialog,!0):editCtx.cancel()}function handleSubmit(){get$3(canSubmit)&&(get$3(isUserMessage)&&get$3(saveWithoutRegenerate)&&editCtx.showSaveOnlyOption?editCtx.saveOnly():
+(get$3(isAssistantMessage)&&editCtx.setShouldBranchAfterEdit&&editCtx.setShouldBranchAfterEdit(get$3(branchAfterEdit)),editCtx.save()),set$1(saveWithoutRegenerate,!1),set$1(branchAfterEdit,!1))}function handleAttachmentRemove(index2){const newExtras=[...editCtx.editedExtras];newExtras.splice(index2,1),editCtx.setExtras(newExtras)}function handleUploadedFileRemove(fileId){const newFiles=editCtx.editedUploadedFiles.filter(f=>f.id!==fileId);editCtx.setUploadedFiles(newFiles)}async function handleFilesAdd(files){
+const processed=await processFilesToChatUploaded(files);editCtx.setUploadedFiles([...editCtx.editedUploadedFiles,...processed])}function handleUploadedFilesChange(files){editCtx.setUploadedFiles(files)}user_effect(()=>(chatStore.setEditModeActive(handleFilesAdd),()=>{chatStore.clearEditMode()}));var fragment=root$12();event("keydown",$window,handleGlobalKeydown);var div=first_child(fragment),node2=child(div);{let $0=user_derived(()=>editCtx.messageRole===MessageRole.USER),$1=user_derived(()=>editCtx.
+messageRole===MessageRole.USER);ChatForm(node2,{get value(){return editCtx.editedContent},get attachments(){return editCtx.editedExtras},get uploadedFiles(){return editCtx.editedUploadedFiles},placeholder:"Edit your message...",showMcpPromptButton:!0,get showAddButton(){return get$3($0)},get showModelSelector(){return get$3($1)},get onValueChange(){return editCtx.setContent},onAttachmentRemove:handleAttachmentRemove,onUploadedFileRemove:handleUploadedFileRemove,onUploadedFilesChange:handleUploadedFilesChange,
+onFilesAdd:handleFilesAdd,onSubmit:handleSubmit})}reset(div);var div_1=sibling(div,2),node_1=child(div_1);{var consequent=$$anchor2=>{var div_2=root_1$v(),node_2=child(div_2);Switch(node_2,{id:"save-only-switch",class:"scale-75",get checked(){return get$3(saveWithoutRegenerate)},set checked($$value){set$1(saveWithoutRegenerate,$$value,!0)}}),next$1(2),reset(div_2),append($$anchor2,div_2)},consequent_1=$$anchor2=>{var div_3=root_2$M(),node_3=child(div_3);Switch(node_3,{id:"branch-after-edit",class:"\
+scale-75",get checked(){return get$3(branchAfterEdit)},set checked($$value){set$1(branchAfterEdit,$$value,!0)}}),next$1(2),reset(div_3),append($$anchor2,div_3)},alternate=$$anchor2=>{var div_4=root_3$F();append($$anchor2,div_4)};if_block(node_1,$$render=>{get$3(isUserMessage)&&editCtx.showSaveOnlyOption?$$render(consequent):get$3(isAssistantMessage)?$$render(consequent_1,1):$$render(alternate,-1)})}var node_4=sibling(node_1,2);Button(node_4,{class:"h-7 px-3 text-xs",onclick:attemptCancel,size:"s\
+m",variant:"ghost",children:($$anchor2,$$slotProps)=>{var fragment_1=root_4$q(),node_5=first_child(fragment_1);X(node_5,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div_1);var node_6=sibling(div_1,2);DialogConfirmation(node_6,{title:"Discard changes?",description:"You have unsaved changes. Are you sure you want to discard them?",confirmText:"Discard",cancelText:"Keep editing",variant:"destructive",get icon(){return Triangle_alert},get onConfirm(){return editCtx.
+cancel},onCancel:()=>set$1(showDiscardDialog,!1),get open(){return get$3(showDiscardDialog)},set open($$value){set$1(showDiscardDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_3$E=from_html('<div class="max-w-[80%]"><!></div>'),root_2$L=from_html("<!> <!>",1),root$11=from_html('<div aria-label="User message with actions" role="group"><!></div>');function ChatMessageUser($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),siblingInfo=prop($$props,"siblingI\
+nfo",3,null);const editCtx=getMessageEditContext();var div=root$11(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$L(),node_1=first_child(fragment_1);ChatMessageUserBubble(node_1,{get content(){return $$props.message.content},get attachments(){return $$props.message.extra},renderMarkdown:!0});var node_2=sibling(node_1,2);{var consequent_1=$$anchor3=>{var div_1=root_3$E(),node_3=child(div_1);ChatMessageActionIcons(node_3,
+{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onForkConversation(){return $$props.onForkConversation},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){
+return $$props.showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_1),append($$anchor3,div_1)};if_block(node_2,$$render=>{$$props.message.timestamp&&$$render(consequent_1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}var root_1$u=from_html('<div class="mb-2 max-w-[80\
+%]"><!></div>'),root_4$p=from_html("<div><!></div>"),root_5$l=from_html('<span class="text-md whitespace-pre-wrap"> </span>'),root$10=from_html("<!> <!>",1);function ChatMessageUserBubble($$anchor,$$props){push$1($$props,!0);let attachments=prop($$props,"attachments",19,()=>[]),renderMarkdown=prop($$props,"renderMarkdown",3,!1),textColorClass=prop($$props,"textColorClass",3,"text-foreground"),cardBgClass=prop($$props,"cardBgClass",3,"dark:bg-primary/15"),maxHeightStyle=prop($$props,"maxHeightSty\
+le",3,"max-height: var(--max-message-height);"),isMultiline=state$1(!1),messageElement=state$1(void 0);const currentConfig=config$1();user_effect(()=>{if(!get$3(messageElement)||!$$props.content.trim())return;if($$props.content.includes(`
+`)){set$1(isMultiline,!0);return}const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});var fragment=root$10(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$u(),node_1=child(div);ChatAttachmentsList(node_1,{get attachments(){return attachments()},readonly:!0,imageHeight:"h-40"}),reset(
+div),append($$anchor2,div)};if_block(node2,$$render=>{attachments()&&attachments().length>0&&$$render(consequent)})}var node_2=sibling(node2,2);{var consequent_2=$$anchor2=>{{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card($$anchor2,{get class(){return`max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 ${textColorClass()??""} backdrop-blur-md data-[multiline]:py-2.5 ${cardBgClass()??""}`},get"data-multiline"(){return get$3($0)},get style(){return`${maxHeightStyle()??
+""} overflow-wrap: anywhere; word-break: break-word;`},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_3=first_child(fragment_2);{var consequent_1=$$anchor4=>{var div_1=root_4$p(),node_4=child(div_1);MarkdownContent(node_4,{class:"markdown-user-content -my-4",get content(){return $$props.content}}),reset(div_1),bind_this(div_1,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),append($$anchor4,div_1)},alternate=$$anchor4=>{var span=root_5$l(),text2=child(span,!0);
+reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_text(text2,$$props.content)),append($$anchor4,span)};if_block(node_3,$$render=>{renderMarkdown()&&currentConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor3,fragment_2)},$$slots:{default:!0}})}},d2=user_derived(()=>$$props.content.trim());if_block(node_2,$$render=>{get$3(d2)&&$$render(consequent_2)})}append($$anchor,fragment),pop()}function useMessageEditContext(options){
+let isEditing2=state$1(!1),editedContent=state$1(""),editedExtras=state$1(proxy([])),editedUploadedFiles=state$1(proxy([]));function handleEdit(){set$1(editedContent,options.getContent(),!0),set$1(editedExtras,[...options.getExtras()],!0),set$1(editedUploadedFiles,[],!0),set$1(isEditing2,!0)}async function handleSaveEdit(){const trimmed=get$3(editedContent).trim();if(!trimmed&&get$3(editedExtras).length===0&&get$3(editedUploadedFiles).length===0)return;let finalExtras=snapshot(get$3(editedExtras));
+if(get$3(editedUploadedFiles).length>0){const plainFiles=snapshot(get$3(editedUploadedFiles)),newExtras=(await parseFilesToMessageExtras(plainFiles))?.extras||[];finalExtras=[...finalExtras,...newExtras]}options.onSave(trimmed,finalExtras.length>0?finalExtras:void 0),set$1(isEditing2,!1)}function handleCancelEdit(){set$1(isEditing2,!1)}return setMessageEditContext({get isEditing(){return get$3(isEditing2)},get editedContent(){return get$3(editedContent)},get editedExtras(){return get$3(editedExtras)},
+get editedUploadedFiles(){return get$3(editedUploadedFiles)},get originalContent(){return options.getContent()},get originalExtras(){return options.getExtras()},get showSaveOnlyOption(){return options.showSaveOnlyOption??!1},get showBranchAfterEditOption(){return!1},get shouldBranchAfterEdit(){return!1},get messageRole(){return MessageRole.USER},setContent:c2=>{set$1(editedContent,c2,!0)},setExtras:e=>{set$1(editedExtras,e,!0)},setUploadedFiles:f=>{set$1(editedUploadedFiles,f,!0)},save:handleSaveEdit,
+saveOnly:handleSaveEdit,cancel:handleCancelEdit,startEdit:handleEdit}),{get isEditing(){return get$3(isEditing2)},handleEdit,handleSaveEdit,handleCancelEdit}}var root_2$K=from_html('<!> <div class="max-w-[80%]"><div class="relative flex h-6 items-center justify-between"><div class="right-0 flex items-center gap-2 opacity-100 transition-opacity"><div class="pointer-events-auto inset-0 flex items-center gap-1 opacity-0 transition-all duration-150 group-hover:opacity-100"><!> <!> <!></div></div></d\
+iv></div>',1),root$$=from_html('<div aria-label="Pending user message" role="group"><!></div>');function ChatMessageUserPending($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),extras=prop($$props,"extras",19,()=>[]);const processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived(()=>processingInfoCtx.showProcessingInfo);const editCtx=useMessageEditContext({getContent:()=>$$props.content,getExtras:()=>extras(),onSave:(content2,extras2)=>$$props.
+onEdit(content2,extras2)});var div=root$$(),node2=child(div);{var consequent=$$anchor2=>{ChatMessageEditForm($$anchor2,{})},alternate=$$anchor2=>{var fragment_1=root_2$K(),node_1=first_child(fragment_1);ChatMessageUserBubble(node_1,{get content(){return $$props.content},get attachments(){return extras()},textColorClass:"text-muted-foreground",cardBgClass:"dark:bg-primary/8",maxHeightStyle:"overflow-wrap: anywhere; word-break: break-word;"});var div_1=sibling(node_1,2),div_2=child(div_1),div_3=child(
+div_2),div_4=child(div_3),node_2=child(div_4);ActionIcon(node_2,{get icon(){return Square_pen},tooltip:"Edit",get onclick(){return editCtx.handleEdit}});var node_3=sibling(node_2,2);ActionIcon(node_3,{get icon(){return Trash_2},tooltip:"Delete",get onclick(){return $$props.onDelete}});var node_4=sibling(node_3,2);ActionIcon(node_4,{get icon(){return Arrow_up},tooltip:"Send immediately",get onclick(){return $$props.onSendImmediately}}),reset(div_4),reset(div_3),reset(div_2),reset(div_1),append($$anchor2,
+fragment_1)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate,-1)})}reset(div),action(div,$$node=>fadeInView?.($$node)),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 transition-opacity hover:opacity-80 md:gap-2 ${className()??""} sticky ${get$3(showProcessingInfo)?"bottom-44":"bottom-32"}`)),append($$anchor,div),pop()}var root_2$J=from_html("<!> Cancel",1),root_3$D=from_html("<!> Save",1),root_1$t=from_html('<div class="w-full max-w-[\
+80%]"><textarea placeholder="Edit system message..."></textarea> <div class="mt-2 flex justify-end gap-2"><!> <!></div></div>'),root_7$i=from_html("<div><!></div>"),root_8$j=from_html("<span> </span>"),root_9$e=from_html('<div class="pointer-events-none absolute right-0 bottom-0 left-0 h-48 bg-gradient-to-t from-muted to-transparent"></div> <div class="pointer-events-none absolute right-0 bottom-4 left-0 flex justify-center opacity-0 transition-opacity group-hover/expand:opacity-100"><!></div>',
+1),root_11$8=from_html('<div class="mb-2 flex justify-center"><!></div>'),root_6$l=from_html("<div><!> <!></div> <!>",1),root_5$k=from_html('<div class="relative max-w-[80%]"><button type="button"><!></button></div>'),root_13$6=from_html('<div class="max-w-[80%]"><!></div>'),root_4$o=from_html("<!> <!>",1),root$_=from_html('<div aria-label="System message with actions" role="group"><!></div>');function ChatMessageSystem($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),
+siblingInfo=prop($$props,"siblingInfo",3,null),textareaElement=prop($$props,"textareaElement",15);const editCtx=getMessageEditContext();function handleEditKeydown(event2){event2.key===KeyboardKey.ENTER&&!event2.shiftKey&&!isIMEComposing(event2)?(event2.preventDefault(),editCtx.save()):event2.key===KeyboardKey.ESCAPE&&(event2.preventDefault(),editCtx.cancel())}let isMultiline=state$1(!1),messageElement=state$1(void 0),isExpanded=state$1(!1),contentHeight=state$1(0);const MAX_HEIGHT=200,currentConfig=config$1();
+let showExpandButton=user_derived(()=>get$3(contentHeight)>MAX_HEIGHT);user_effect(()=>{if(!get$3(messageElement)||!$$props.message.content.trim())return;$$props.message.content.includes(`
+`)&&set$1(isMultiline,!0);const resizeObserver=new ResizeObserver(entries=>{for(const entry of entries){const element2=entry.target;set$1(isMultiline,element2.offsetHeight>24*1.5),set$1(contentHeight,element2.scrollHeight,!0)}});return resizeObserver.observe(get$3(messageElement)),()=>{resizeObserver.disconnect()}});function toggleExpand(){set$1(isExpanded,!get$3(isExpanded))}var div=root$_(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$t(),textarea=child(div_1);remove_textarea_child(
+textarea),bind_this(textarea,$$value=>textareaElement($$value),()=>textareaElement());var div_2=sibling(textarea,2),node_1=child(div_2);Button(node_1,{class:"h-8 px-3",get onclick(){return editCtx.cancel},size:"sm",variant:"outline",children:($$anchor3,$$slotProps)=>{var fragment=root_2$J(),node_2=first_child(fragment);X(node_2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment)},$$slots:{default:!0}});var node_3=sibling(node_1,2);{let $0=user_derived(()=>!editCtx.editedContent.trim());Button(
+node_3,{class:"h-8 px-3",get onclick(){return editCtx.save},get disabled(){return get$3($0)},size:"sm",children:($$anchor3,$$slotProps)=>{var fragment_1=root_3$D(),node_4=first_child(fragment_1);Check(node_4,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor3,fragment_1)},$$slots:{default:!0}})}reset(div_2),reset(div_1),template_effect(()=>{set_value(textarea,editCtx.editedContent),set_class(textarea,1,`min-h-[60px] w-full resize-none rounded-2xl px-3 py-2 text-sm ${INPUT_CLASSES??""}`)}),delegated(
+"keydown",textarea,handleEditKeydown),delegated("input",textarea,e=>editCtx.setContent(e.currentTarget.value)),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment_2=root_4$o(),node_5=first_child(fragment_2);{var consequent_4=$$anchor3=>{var div_3=root_5$k(),button=child(div_3),node_6=child(button);{let $0=user_derived(()=>get$3(isMultiline)?"":void 0);Card(node_6,{class:"overflow-y-auto rounded-[1.125rem] !border-2 !border-dashed !border-border/50 bg-muted px-3.75 py-1.5 data-[multilin\
+e]:py-2.5",get"data-multiline"(){return get$3($0)},style:"border: 2px dashed hsl(var(--border)); max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;",children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$l(),div_4=first_child(fragment_3),node_7=child(div_4);{var consequent_1=$$anchor5=>{var div_5=root_7$i(),node_8=child(div_5);MarkdownContent(node_8,{class:"markdown-system-content -my-4",get content(){return $$props.message.content}}),reset(div_5),bind_this(
+div_5,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>set_class(div_5,1,clsx(get$3(isExpanded)?"cursor-text":""))),append($$anchor5,div_5)},alternate=$$anchor5=>{var span=root_8$j(),text2=child(span,!0);reset(span),bind_this(span,$$value=>set$1(messageElement,$$value),()=>get$3(messageElement)),template_effect(()=>{set_class(span,1,`text-md whitespace-pre-wrap ${get$3(isExpanded)?"cursor-text":""}`),set_text(text2,$$props.message.content)}),append($$anchor5,
+span)};if_block(node_7,$$render=>{currentConfig.renderUserContentAsMarkdown?$$render(consequent_1):$$render(alternate,-1)})}var node_9=sibling(node_7,2);{var consequent_2=$$anchor5=>{var fragment_4=root_9$e(),div_6=sibling(first_child(fragment_4),2),node_10=child(div_6);Button(node_10,{class:"rounded-full px-4 py-1.5 text-xs shadow-md",size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_1=text$8("Show full system message");append($$anchor6,text_1)},$$slots:{default:!0}}),
+reset(div_6),append($$anchor5,fragment_4)};if_block(node_9,$$render=>{!get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_2)})}reset(div_4);var node_11=sibling(div_4,2);{var consequent_3=$$anchor5=>{var div_7=root_11$8(),node_12=child(div_7);Button(node_12,{class:"rounded-full px-4 py-1.5 text-xs",onclick:e=>{e.stopPropagation(),toggleExpand()},size:"sm",variant:"outline",children:($$anchor6,$$slotProps2)=>{next$1();var text_2=text$8("Collapse System Message");append($$anchor6,text_2)},
+$$slots:{default:!0}}),reset(div_7),append($$anchor5,div_7)};if_block(node_11,$$render=>{get$3(isExpanded)&&get$3(showExpandButton)&&$$render(consequent_3)})}template_effect(()=>{set_class(div_4,1,`relative transition-all duration-300 ${get$3(isExpanded)?"cursor-text select-text":"select-none"}`),set_style(div_4,!get$3(isExpanded)&&get$3(showExpandButton)?`max-height: ${MAX_HEIGHT}px;`:"max-height: none;")}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}reset(button),reset(div_3),template_effect(
+()=>set_class(button,1,`group/expand w-full text-left ${!get$3(isExpanded)&&get$3(showExpandButton)?"cursor-pointer":"cursor-auto"}`)),delegated("click",button,function(...$$args){(get$3(showExpandButton)&&!get$3(isExpanded)?toggleExpand:void 0)?.apply(this,$$args)}),append($$anchor3,div_3)},d2=user_derived(()=>$$props.message.content.trim());if_block(node_5,$$render=>{get$3(d2)&&$$render(consequent_4)})}var node_13=sibling(node_5,2);{var consequent_5=$$anchor3=>{var div_8=root_13$6(),node_14=child(
+div_8);ChatMessageActionIcons(node_14,{actionsPosition:"right",get deletionInfo(){return $$props.deletionInfo},justify:"end",get onConfirmDelete(){return $$props.onConfirmDelete},get onCopy(){return $$props.onCopy},get onDelete(){return $$props.onDelete},get onEdit(){return $$props.onEdit},get onNavigateToSibling(){return $$props.onNavigateToSibling},get onShowDeleteDialogChange(){return $$props.onShowDeleteDialogChange},get siblingInfo(){return siblingInfo()},get showDeleteDialog(){return $$props.
+showDeleteDialog},get role(){return MessageRole.USER}}),reset(div_8),append($$anchor3,div_8)};if_block(node_13,$$render=>{$$props.message.timestamp&&$$render(consequent_5)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{editCtx.isEditing?$$render(consequent):$$render(alternate_1,-1)})}reset(div),template_effect(()=>set_class(div,1,`group flex flex-col items-end gap-3 md:gap-2 ${className()??""}`)),append($$anchor,div),pop()}delegate(["keydown","input","click"]);class AutoScrollController{#_autoScrollEnabled=state$1(
+!0);get _autoScrollEnabled(){return get$3(this.#_autoScrollEnabled)}set _autoScrollEnabled(value){set$1(this.#_autoScrollEnabled,value,!0)}#_userScrolledUp=state$1(!1);get _userScrolledUp(){return get$3(this.#_userScrolledUp)}set _userScrolledUp(value){set$1(this.#_userScrolledUp,value,!0)}#_lastScrollTop=state$1(0);get _lastScrollTop(){return get$3(this.#_lastScrollTop)}set _lastScrollTop(value){set$1(this.#_lastScrollTop,value,!0)}_scrollInterval;_scrollTimeout;_container;_disabled;_isColumnReverse;_mutationObserver=null;_rafPending=!1;_observerEnabled=!1;constructor(options={}){
+this._disabled=options.disabled??!1,this._isColumnReverse=options.isColumnReverse??!1}get autoScrollEnabled(){return this._autoScrollEnabled}get userScrolledUp(){return this._userScrolledUp}setContainer(container2){this._doStopObserving(),this._container=container2,this._observerEnabled&&container2&&!this._disabled&&this._doStartObserving()}setDisabled(disabled){this._disabled=disabled,disabled?(this._autoScrollEnabled=!1,this.stopInterval(),this._doStopObserving()):this._observerEnabled&&this._container&&
+!this._mutationObserver&&this._doStartObserving()}handleScroll(){if(this._disabled||!this._container)return;const{scrollTop,scrollHeight,clientHeight}=this._container;let distanceFromBottom,isScrollingUp;this._isColumnReverse?(distanceFromBottom=Math.abs(scrollTop),isScrollingUp=scrollTop<this._lastScrollTop):(distanceFromBottom=scrollHeight-clientHeight-scrollTop,isScrollingUp=scrollTop<this._lastScrollTop);const isAtBottom=distanceFromBottom<AUTO_SCROLL_AT_BOTTOM_THRESHOLD;isScrollingUp&&!isAtBottom?
+(this._userScrolledUp=!0,this._autoScrollEnabled=!1):isAtBottom&&this._userScrolledUp&&(this._userScrolledUp=!1,this._autoScrollEnabled=!0),this._scrollTimeout&&clearTimeout(this._scrollTimeout),this._scrollTimeout=setTimeout(()=>{isAtBottom&&(this._userScrolledUp=!1,this._autoScrollEnabled=!0)},AUTO_SCROLL_INTERVAL),this._lastScrollTop=scrollTop}scrollToBottom(behavior="smooth"){this._disabled||!this._container||(this._isColumnReverse?this._container.scrollTo({top:0,behavior}):this._container.scrollTo(
+{top:this._container.scrollHeight,behavior}))}enable(){this._disabled||(this._userScrolledUp=!1,this._autoScrollEnabled=!0)}startInterval(){this._disabled||this._scrollInterval||(this._scrollInterval=setInterval(()=>{this.scrollToBottom()},AUTO_SCROLL_INTERVAL))}stopInterval(){this._scrollInterval&&(clearInterval(this._scrollInterval),this._scrollInterval=void 0)}updateInterval(isStreaming){if(this._disabled){this.stopInterval();return}isStreaming&&this._autoScrollEnabled?this._scrollInterval||this.
+startInterval():this.stopInterval()}destroy(){this.stopInterval(),this._doStopObserving(),this._scrollTimeout&&(clearTimeout(this._scrollTimeout),this._scrollTimeout=void 0)}startObserving(){this._observerEnabled=!0,this._container&&!this._disabled&&!this._mutationObserver&&this._doStartObserving()}stopObserving(){this._observerEnabled=!1,this._doStopObserving()}_doStartObserving(){if(!this._container||this._mutationObserver)return;const isReverse=this._isColumnReverse;this._mutationObserver=new MutationObserver(
+()=>{!this._autoScrollEnabled||this._rafPending||(this._rafPending=!0,requestAnimationFrame(()=>{this._rafPending=!1,this._autoScrollEnabled&&this._container&&(isReverse?this._container.scrollTop=0:this._container.scrollTop=this._container.scrollHeight)}))}),this._mutationObserver.observe(this._container,{childList:!0,subtree:!0,characterData:!0})}_doStopObserving(){this._mutationObserver&&(this._mutationObserver.disconnect(),this._mutationObserver=null),this._rafPending=!1}}function createAutoScrollController(options={}){
+return new AutoScrollController(options)}function useKeyboardShortcuts(callbacks){function handleKeydown(event2){const isCmdOrCtrl=event2.metaKey||event2.ctrlKey;isCmdOrCtrl&&event2.key===KeyboardKey.K_LOWER&&(event2.preventDefault(),callbacks.activateSearchMode?.(),callbacks.onSearchActivated?.()),isCmdOrCtrl&&event2.shiftKey&&(event2.key===KeyboardKey.O_LOWER||event2.key===KeyboardKey.O_UPPER)&&(event2.preventDefault(),goto("?new_chat=true#/")),event2.shiftKey&&isCmdOrCtrl&&event2.key===KeyboardKey.
+E_UPPER&&(event2.preventDefault(),callbacks.editActiveConversation?.()),isCmdOrCtrl&&event2.shiftKey&&(event2.key===KeyboardKey.D_LOWER||event2.key===KeyboardKey.D_UPPER)&&(event2.preventDefault(),callbacks.deleteActiveConversation?.()),isCmdOrCtrl&&event2.shiftKey&&event2.key===KeyboardKey.ARROW_UP&&(event2.preventDefault(),callbacks.navigateToPrevConversation?.()),isCmdOrCtrl&&event2.shiftKey&&event2.key===KeyboardKey.ARROW_DOWN&&(event2.preventDefault(),callbacks.navigateToNextConversation?.())}
+return{handleKeydown}}var root_5$j=from_html('<div class="mb-8 px-4 text-center"><h1 class="mb-2 text-2xl font-semibold tracking-tight md:text-3xl">Hello there</h1> <p class="text-muted-foreground md:text-lg"> </p></div>'),root_9$d=from_html('<span>Server unavailable</span> <button class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"><!> </button>',1),root_8$i=from_html("<!> <!> <!>",1),root_7$h=from_html('<div c\
+lass="pointer-events-auto mx-auto mb-4 max-w-[48rem] px-1"><!></div>'),root_3$C=from_html('<div aria-label="Chat interface with file drop zone" class="flex h-full flex-col-reverse overflow-y-auto px-4 md:px-6" role="main"><div class="flex grow flex-col pt-14"><!> <div><!> <!> <!> <div class="conversation-chat-form pointer-events-auto rounded-t-3xl"><!></div></div></div></div>'),root$Z=from_html("<!> <!> <!> <!> <!> <!>",1);function ChatScreen($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=prop(
+$$props,"showCenteredEmpty",3,!1),disableAutoScroll=user_derived(()=>!!config$1().disableAutoScroll),chatScrollContainer=state$1(void 0),dragCounter=state$1(0),isDragOver=state$1(!1),showFileErrorDialog=state$1(!1),uploadedFiles=state$1(proxy([]));const autoScroll=createAutoScrollController({isColumnReverse:!0});let fileErrorData=state$1(proxy({generallyUnsupported:[],modalityUnsupported:[],modalityReasons:{},supportedTypes:[]})),showDeleteDialog=state$1(!1),showEmptyFileDialog=state$1(!1),emptyFileNames=state$1(
+proxy([])),initialMessage=state$1(""),isEmpty=user_derived(()=>showCenteredEmpty()&&!activeConversation()&&activeMessages().length===0&&!isLoading()),activeErrorDialog=user_derived(errorDialog),isServerLoading=user_derived(serverLoading),hasPropsError=user_derived(()=>!!serverError()),isCurrentConversationLoading=user_derived(()=>isLoading()||isChatStreaming()),showProcessingInfo=user_derived(()=>get$3(isCurrentConversationLoading)||config$1().keepStatsVisible&&!!page$1.params.id||activeProcessingState()!==
+null),isRouter=user_derived(isRouterMode),conversationModel=user_derived(()=>chatStore.getConversationModel(activeMessages())),activeModelId=user_derived(()=>{const options=modelOptions();if(!get$3(isRouter))return options.length>0?options[0].model:null;const selectedId=selectedModelId();if(selectedId){const model=options.find(m=>m.id===selectedId);if(model)return model.model}if(get$3(conversationModel)){const model=options.find(m=>m.model===get$3(conversationModel));if(model)return model.model}
+return null}),modelPropsVersion=state$1(0);setProcessingInfoContext({get showProcessingInfo(){return get$3(showProcessingInfo)}}),user_effect(()=>{get$3(activeModelId)&&(modelsStore.getModelProps(get$3(activeModelId))||modelsStore.fetchModelProps(get$3(activeModelId)).then(()=>{update$1(modelPropsVersion)}))});let hasAudioModality=user_derived(()=>get$3(activeModelId)?(get$3(modelPropsVersion),modelsStore.modelSupportsAudio(get$3(activeModelId))):!1),hasVisionModality=user_derived(()=>get$3(activeModelId)?
+(get$3(modelPropsVersion),modelsStore.modelSupportsVision(get$3(activeModelId))):!1);async function handleDeleteConfirm(){const conversation=activeConversation();conversation&&await conversationsStore.deleteConversation(conversation.id),set$1(showDeleteDialog,!1)}function handleDragEnter(event2){event2.preventDefault(),update$1(dragCounter),event2.dataTransfer?.types.includes("Files")&&set$1(isDragOver,!0)}function handleDragLeave(event2){event2.preventDefault(),update$1(dragCounter,-1),get$3(dragCounter)===
+0&&set$1(isDragOver,!1)}function handleErrorDialogOpenChange(open2){open2||chatStore.dismissErrorDialog()}function handleDragOver(event2){event2.preventDefault()}function handleDrop(event2){if(event2.preventDefault(),set$1(isDragOver,!1),set$1(dragCounter,0),event2.dataTransfer?.files){const files=Array.from(event2.dataTransfer.files);if(isEditing()){const handler=getAddFilesHandler();if(handler){handler(files);return}}processFiles(files)}}function handleFileRemove(fileId){set$1(uploadedFiles,get$3(
+uploadedFiles).filter(f=>f.id!==fileId),!0)}function handleFileUpload(files){processFiles(files)}const{handleKeydown}=useKeyboardShortcuts({deleteActiveConversation:()=>{activeConversation()&&set$1(showDeleteDialog,!0)}});async function handleSystemPromptAdd(draft){(draft.message||draft.files.length>0)&&chatStore.savePendingDraft(draft.message,draft.files),await chatStore.addSystemPrompt()}function handleScroll(){autoScroll.handleScroll()}async function handleSendMessage(message,files){const plainFiles=files?
+snapshot(files):void 0,result=plainFiles?await parseFilesToMessageExtras(plainFiles,get$3(activeModelId)??void 0):void 0;if(result?.emptyFiles&&result.emptyFiles.length>0){if(set$1(emptyFileNames,result.emptyFiles,!0),set$1(showEmptyFileDialog,!0),files){const emptyFileNamesSet=new Set(result.emptyFiles);set$1(uploadedFiles,get$3(uploadedFiles).filter(file=>!emptyFileNamesSet.has(file.name)),!0)}return!1}const extras=result?.extras;return autoScroll.enable(),await chatStore.sendMessage(message,extras),
+autoScroll.scrollToBottom(),!0}async function processFiles(files){const generallySupported=[],generallyUnsupported=[];for(const file of files)isFileTypeSupported(file.name,file.type)?generallySupported.push(file):generallyUnsupported.push(file);const capabilities={hasVision:get$3(hasVisionModality),hasAudio:get$3(hasAudioModality)},{supportedFiles,unsupportedFiles,modalityReasons}=filterFilesByModalities(generallySupported,capabilities);if([...generallyUnsupported,...unsupportedFiles].length>0){
+const supportedTypes=["text files","PDFs"];get$3(hasVisionModality)&&supportedTypes.push("images"),get$3(hasAudioModality)&&supportedTypes.push("audio files"),set$1(fileErrorData,{generallyUnsupported,modalityUnsupported:unsupportedFiles,modalityReasons,supportedTypes},!0),set$1(showFileErrorDialog,!0)}if(supportedFiles.length>0){const processed=await processFilesToChatUploaded(supportedFiles,get$3(activeModelId)??void 0);set$1(uploadedFiles,[...get$3(uploadedFiles),...processed],!0)}}afterNavigate(
+()=>{get$3(disableAutoScroll)||autoScroll.enable()}),onMount$1(()=>{autoScroll.startObserving(),get$3(disableAutoScroll)||autoScroll.enable();const pendingDraft=chatStore.consumePendingDraft();pendingDraft&&(set$1(initialMessage,pendingDraft.message,!0),set$1(uploadedFiles,pendingDraft.files,!0))}),user_effect(()=>{autoScroll.setContainer(get$3(chatScrollContainer))}),user_effect(()=>{autoScroll.setDisabled(get$3(disableAutoScroll))});var fragment=root$Z();event("keydown",$window,handleKeydown);
+var node2=first_child(fragment);{var consequent=$$anchor2=>{ChatScreenDragOverlay($$anchor2)};if_block(node2,$$render=>{get$3(isDragOver)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor2=>{ServerLoadingSplash($$anchor2,{})},alternate=$$anchor2=>{var div=root_3$C(),div_1=child(div),node_2=child(div_1);{var consequent_2=$$anchor3=>{{let $0=user_derived(activeMessages);ChatMessages($$anchor3,{get messages(){return get$3($0)},onUserAction:()=>{autoScroll.enable(),autoScroll.
+scrollToBottom()}})}};if_block(node_2,$$render=>{get$3(isEmpty)||$$render(consequent_2)})}var div_2=sibling(node_2,2),node_3=child(div_2);{var consequent_3=$$anchor3=>{var div_3=root_5$j(),p2=sibling(child(div_3),2),text2=child(p2);reset(p2),reset(div_3),action(div_3,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({duration:300})),template_effect(()=>set_text(text2,`${serverStore.props?.modalities?.audio?"Record audio, type a message ":"Type a message"} or upload files to get start\
+ed`)),append($$anchor3,div_3)};if_block(node_3,$$render=>{get$3(isEmpty)&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{ChatScreenProcessingInfo($$anchor3,{})};if_block(node_4,$$render=>{page$1.params.id&&$$render(consequent_4)})}var node_5=sibling(node_4,2);{var consequent_5=$$anchor3=>{var div_4=root_7$h(),node_6=child(div_4);component(node_6,()=>Alert,($$anchor4,Alert_Root)=>{Alert_Root($$anchor4,{variant:"destructive",children:($$anchor5,$$slotProps)=>{var fragment_5=root_8$i(),
+node_7=first_child(fragment_5);Triangle_alert(node_7,{class:"h-4 w-4"});var node_8=sibling(node_7,2);component(node_8,()=>Alert_title,($$anchor6,Alert_Title)=>{Alert_Title($$anchor6,{class:"flex items-center justify-between",children:($$anchor7,$$slotProps2)=>{var fragment_6=root_9$d(),button=sibling(first_child(fragment_6),2),node_9=child(button);{let $0=user_derived(()=>get$3(isServerLoading)?"animate-spin":"");Refresh_cw(node_9,{get class(){return`h-3 w-3 ${get$3($0)??""}`}})}var text_1=sibling(
+node_9);reset(button),template_effect(()=>{button.disabled=get$3(isServerLoading),set_text(text_1,` ${get$3(isServerLoading)?"Retrying...":"Retry"}`)}),delegated("click",button,()=>serverStore.fetch()),append($$anchor7,fragment_6)},$$slots:{default:!0}})});var node_10=sibling(node_8,2);component(node_10,()=>Alert_description,($$anchor6,Alert_Description)=>{Alert_Description($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text_2=text$8();template_effect($0=>set_text(text_2,$0),[()=>serverError()]),
+append($$anchor7,text_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)},$$slots:{default:!0}})}),reset(div_4),action(div_4,($$node,$$action_arg)=>fadeInView?.($$node,$$action_arg),()=>({y:10,duration:250})),append($$anchor3,div_4)};if_block(node_5,$$render=>{get$3(hasPropsError)&&$$render(consequent_5)})}var div_5=sibling(node_5,2),node_11=child(div_5);{let $0=user_derived(()=>get$3(hasPropsError)||isEditing());ChatScreenForm(node_11,{get disabled(){return get$3($0)},get initialMessage(){
+return get$3(initialMessage)},get isLoading(){return get$3(isCurrentConversationLoading)},onFileRemove:handleFileRemove,onFileUpload:handleFileUpload,onSend:handleSendMessage,onStop:()=>chatStore.stopGeneration(),onSystemPromptAdd:handleSystemPromptAdd,get uploadedFiles(){return get$3(uploadedFiles)},set uploadedFiles($$value){set$1(uploadedFiles,$$value,!0)}})}reset(div_5),reset(div_2),reset(div_1),reset(div),bind_this(div,$$value=>set$1(chatScrollContainer,$$value),()=>get$3(chatScrollContainer)),
+template_effect(()=>set_class(div_2,1,`pointer-events-none ${get$3(isEmpty)?"absolute bottom-[calc(50dvh-7rem)]":"sticky bottom-4"} right-4 left-4 mt-auto pt-16 transition-all duration-200`)),event("dragenter",div,handleDragEnter),event("dragleave",div,handleDragLeave),event("dragover",div,handleDragOver),event("drop",div,handleDrop),event("scroll",div,handleScroll),append($$anchor2,div)};if_block(node_1,$$render=>{get$3(isServerLoading)?$$render(consequent_1):$$render(alternate,-1)})}var node_12=sibling(
+node_1,2);DialogFileUploadError(node_12,{get fileErrorData(){return get$3(fileErrorData)},get open(){return get$3(showFileErrorDialog)},set open($$value){set$1(showFileErrorDialog,$$value,!0)}});var node_13=sibling(node_12,2);DialogConfirmation(node_13,{title:"Delete Conversation",description:"Are you sure you want to delete this conversation? This action cannot be undone and will permanently remove all messages in this conversation.",confirmText:"Delete",cancelText:"Cancel",variant:"destructive",
+get icon(){return Trash_2},onConfirm:handleDeleteConfirm,onCancel:()=>set$1(showDeleteDialog,!1),get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}});var node_14=sibling(node_13,2);DialogEmptyFileAlert(node_14,{get emptyFiles(){return get$3(emptyFileNames)},onOpenChange:open2=>{open2||set$1(emptyFileNames,[],!0)},get open(){return get$3(showEmptyFileDialog)},set open($$value){set$1(showEmptyFileDialog,$$value,!0)}});var node_15=sibling(node_14,2);{let $0=user_derived(
+()=>get$3(activeErrorDialog)?.message??""),$1=user_derived(()=>get$3(activeErrorDialog)?.contextInfo),$2=user_derived(()=>!!get$3(activeErrorDialog)),$3=user_derived(()=>get$3(activeErrorDialog)?.type??ErrorDialogType.SERVER);DialogChatError(node_15,{get message(){return get$3($0)},get contextInfo(){return get$3($1)},onOpenChange:handleErrorDialogOpenChange,get open(){return get$3($2)},get type(){return get$3($3)}})}append($$anchor,fragment),pop()}delegate(["click"]);var root$Y=from_html('<div c\
+lass="pointer-events-none fixed inset-0 z-50 flex items-center justify-center bg-black/50 backdrop-blur-sm"><div class="flex flex-col items-center justify-center rounded-2xl border-2 border-dashed border-border bg-background p-12 shadow-lg"><!> <p class="text-lg font-medium text-foreground">Attach a file</p> <p class="text-sm text-muted-foreground">Drop your files here to upload</p></div></div>');function ChatScreenDragOverlay($$anchor){var div=root$Y(),div_1=child(div),node2=child(div_1);Upload(
+node2,{class:"mb-4 h-12 w-12 text-muted-foreground"}),next$1(4),reset(div_1),reset(div),append($$anchor,div)}class DraftMessagesStore{drafts=new Map;getDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;return this.drafts.get(key2)??{message:"",files:[]}}saveDraftMessage(chatId,message,files){const key2=chatId??NEW_CHAT_DRAFT_KEY;message||files.length>0?this.drafts.set(key2,{message,files:[...files]}):this.drafts.delete(key2)}clearDraftMessage(chatId){const key2=chatId??NEW_CHAT_DRAFT_KEY;
+this.drafts.delete(key2)}}const draftMessagesStore=new DraftMessagesStore;function useDraftMessages(options){onMount$1(()=>{const chatId=options.getChatId(),draft=draftMessagesStore.getDraftMessage(chatId);(draft.message||draft.files.length>0)&&!options.getInitialMessage()&&(options.setMessage(draft.message),options.setFiles(draft.files))}),beforeNavigate(()=>{const chatId=options.getChatId();draftMessagesStore.saveDraftMessage(chatId,options.getMessage(),options.getFiles())}),afterNavigate(navigation=>{
+if(navigation?.from!=null){const chatId=options.getChatId(),draft=draftMessagesStore.getDraftMessage(chatId);options.setMessage(draft.message),options.setFiles(draft.files)}});function clearDraft(){const chatId=options.getChatId();draftMessagesStore.clearDraftMessage(chatId)}return{clearDraft}}var root$X=from_html('<div class="relative mx-auto max-w-[48rem]"><!></div>');function ChatScreenForm($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1),initialMessage=prop($$props,
+"initialMessage",3,""),isLoading2=prop($$props,"isLoading",3,!1),uploadedFiles=prop($$props,"uploadedFiles",31,()=>proxy([])),chatFormRef=state$1(void 0),chatId=user_derived(()=>page$1.params.id),hasLoadingAttachments=user_derived(()=>uploadedFiles().some(f=>f.isLoading)),message=user_derived(initialMessage),previousIsLoading=user_derived(isLoading2),previousInitialMessage=user_derived(initialMessage);const{clearDraft}=useDraftMessages({getChatId:()=>get$3(chatId),getMessage:()=>get$3(message),getFiles:()=>uploadedFiles(),
+setMessage:m=>set$1(message,m),setFiles:f=>uploadedFiles(f),getInitialMessage:()=>initialMessage()});function handleFilesAdd(files){$$props.onFileUpload?.(files)}async function handleSubmit(){if(!get$3(message).trim()&&uploadedFiles().length===0||disabled()||get$3(hasLoadingAttachments)||!get$3(chatFormRef)?.checkModelSelected())return;const messageToSend=get$3(message).trim(),filesToSend=[...uploadedFiles()];set$1(message,""),uploadedFiles([]),clearDraft(),get$3(chatFormRef)?.resetTextareaHeight(),
+await $$props.onSend?.(messageToSend,filesToSend)||(set$1(message,messageToSend),uploadedFiles(filesToSend))}function handleSystemPromptClick(){$$props.onSystemPromptAdd?.({message:get$3(message),files:uploadedFiles()})}function handleUploadedFileRemove(fileId){$$props.onFileRemove?.(fileId)}onMount$1(()=>{setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),afterNavigate(navigation=>{navigation?.from!=null&&setTimeout(()=>get$3(chatFormRef)?.focus(),10)}),user_effect(()=>{initialMessage()!==get$3(previousInitialMessage)&&
+(set$1(message,initialMessage()),set$1(previousInitialMessage,initialMessage()))}),user_effect(()=>{get$3(previousIsLoading)&&!isLoading2()&&setTimeout(()=>get$3(chatFormRef)?.focus(),10),set$1(previousIsLoading,isLoading2())});var div=root$X(),node2=child(div);bind_this(ChatForm(node2,{get class(){return $$props.class},get disabled(){return disabled()},get isLoading(){return isLoading2()},showMcpPromptButton:!0,onFilesAdd:handleFilesAdd,get onStop(){return $$props.onStop},onSubmit:handleSubmit,
+onSystemPromptClick:handleSystemPromptClick,onUploadedFileRemove:handleUploadedFileRemove,get value(){return get$3(message)},set value($$value){set$1(message,$$value)},get uploadedFiles(){return uploadedFiles()},set uploadedFiles($$value){uploadedFiles($$value)}}),$$value=>set$1(chatFormRef,$$value,!0),()=>get$3(chatFormRef)),reset(div),append($$anchor,div),pop()}var root_1$s=from_html('<span class="chat-processing-info-detail pointer-events-auto backdrop-blur-sm svelte-1ktvj8d"> </span>'),root$W=from_html(
+'<div><div class="chat-processing-info-content svelte-1ktvj8d"></div></div>');function ChatScreenProcessingInfo($$anchor,$$props){push$1($$props,!0);const processingState=useProcessingState(),processingInfoCtx=getProcessingInfoContext();let showProcessingInfo=user_derived(()=>processingInfoCtx.showProcessingInfo),isCurrentConversationLoading=user_derived(isLoading),isStreaming=user_derived(isChatStreaming),processingDetails=user_derived(()=>processingState.getTechnicalDetails());user_effect(()=>{
+const conversation=activeConversation();untrack$1(()=>chatStore.setActiveProcessingConversation(conversation?.id??null))}),user_effect(()=>{const keepStatsVisible=config$1().keepStatsVisible;if((keepStatsVisible||get$3(isCurrentConversationLoading)||get$3(isStreaming))&&processingState.startMonitoring(),!get$3(isCurrentConversationLoading)&&!get$3(isStreaming)&&!keepStatsVisible){const timeout=setTimeout(()=>{!config$1().keepStatsVisible&&!isChatStreaming()&&processingState.stopMonitoring()},PROCESSING_INFO_TIMEOUT);
+return()=>clearTimeout(timeout)}}),user_effect(()=>{const conversation=activeConversation(),messages=activeMessages();if(config$1().keepStatsVisible&&conversation){if(messages.length===0){untrack$1(()=>chatStore.clearProcessingState(conversation.id));return}!get$3(isCurrentConversationLoading)&&!get$3(isStreaming)&&untrack$1(()=>chatStore.restoreProcessingStateFromMessages(messages,conversation.id))}});var div=root$W(),div_1=child(div);each(div_1,20,()=>get$3(processingDetails),detail=>detail,($$anchor2,detail)=>{
+var span=root_1$s(),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,detail)),append($$anchor2,span)}),reset(div_1),reset(div),template_effect(()=>set_class(div,1,clsx(["chat-processing-info-container pointer-events-none",get$3(showProcessingInfo)&&"visible"]),"svelte-1ktvj8d")),append($$anchor,div),pop()}const emptyOptions$7={};function toString$1(value,options){const settings=emptyOptions$7,includeImageAlt=typeof settings.includeImageAlt=="boolean"?settings.includeImageAlt:!0,
+includeHtml=typeof settings.includeHtml=="boolean"?settings.includeHtml:!0;return one$2(value,includeImageAlt,includeHtml)}function one$2(value,includeImageAlt,includeHtml){if(node(value)){if("value"in value)return value.type==="html"&&!includeHtml?"":value.value;if(includeImageAlt&&"alt"in value&&value.alt)return value.alt;if("children"in value)return all$2(value.children,includeImageAlt,includeHtml)}return Array.isArray(value)?all$2(value,includeImageAlt,includeHtml):""}function all$2(values,includeImageAlt,includeHtml){
+const result=[];let index2=-1;for(;++index2<values.length;)result[index2]=one$2(values[index2],includeImageAlt,includeHtml);return result.join("")}function node(value){return!!(value&&typeof value=="object")}const element$3=document.createElement("i");function decodeNamedCharacterReference(value){const characterReference2="&"+value+";";element$3.innerHTML=characterReference2;const character=element$3.textContent;return character.charCodeAt(character.length-1)===59&&value!=="semi"||character===characterReference2?
+!1:character}function splice(list2,start2,remove2,items2){const end=list2.length;let chunkStart=0,parameters;if(start2<0?start2=-start2>end?0:end+start2:start2=start2>end?end:start2,remove2=remove2>0?remove2:0,items2.length<1e4)parameters=Array.from(items2),parameters.unshift(start2,remove2),list2.splice(...parameters);else for(remove2&&list2.splice(start2,remove2);chunkStart<items2.length;)parameters=items2.slice(chunkStart,chunkStart+1e4),parameters.unshift(start2,0),list2.splice(...parameters),
+chunkStart+=1e4,start2+=1e4}function push(list2,items2){return list2.length>0?(splice(list2,list2.length,0,items2),list2):items2}const hasOwnProperty={}.hasOwnProperty;function combineExtensions(extensions){const all2={};let index2=-1;for(;++index2<extensions.length;)syntaxExtension(all2,extensions[index2]);return all2}function syntaxExtension(all2,extension2){let hook;for(hook in extension2){const left=(hasOwnProperty.call(all2,hook)?all2[hook]:void 0)||(all2[hook]={}),right=extension2[hook];let code2;
+if(right)for(code2 in right){hasOwnProperty.call(left,code2)||(left[code2]=[]);const value=right[code2];constructs(left[code2],Array.isArray(value)?value:value?[value]:[])}}}function constructs(existing,list2){let index2=-1;const before=[];for(;++index2<list2.length;)(list2[index2].add==="after"?existing:before).push(list2[index2]);splice(existing,0,0,before)}function decodeNumericCharacterReference(value,base2){const code2=Number.parseInt(value,base2);return code2<9||code2===11||code2>13&&code2<
+32||code2>126&&code2<160||code2>55295&&code2<57344||code2>64975&&code2<65008||(code2&65535)===65535||(code2&65535)===65534||code2>1114111?"�":String.fromCodePoint(code2)}function normalizeIdentifier(value){return value.replace(/[\t\n\r ]+/g," ").replace(/^ | $/g,"").toLowerCase().toUpperCase()}const asciiAlpha=regexCheck(/[A-Za-z]/),asciiAlphanumeric=regexCheck(/[\dA-Za-z]/),asciiAtext=regexCheck(/[#-'*+\--9=?A-Z^-~]/);function asciiControl(code2){return code2!==null&&(code2<32||code2===127)}const asciiDigit=regexCheck(
+/\d/),asciiHexDigit=regexCheck(/[\dA-Fa-f]/),asciiPunctuation=regexCheck(/[!-/:-@[-`{-~]/);function markdownLineEnding(code2){return code2!==null&&code2<-2}function markdownLineEndingOrSpace(code2){return code2!==null&&(code2<0||code2===32)}function markdownSpace(code2){return code2===-2||code2===-1||code2===32}const unicodePunctuation=regexCheck(new RegExp("\\p{P}|\\p{S}","u")),unicodeWhitespace=regexCheck(/\s/);function regexCheck(regex){return check;function check(code2){return code2!==null&&
+code2>-1&&regex.test(String.fromCharCode(code2))}}function normalizeUri(value){const result=[];let index2=-1,start2=0,skip=0;for(;++index2<value.length;){const code2=value.charCodeAt(index2);let replace2="";if(code2===37&&asciiAlphanumeric(value.charCodeAt(index2+1))&&asciiAlphanumeric(value.charCodeAt(index2+2)))skip=2;else if(code2<128)/[!#$&-;=?-Z_a-z~]/.test(String.fromCharCode(code2))||(replace2=String.fromCharCode(code2));else if(code2>55295&&code2<57344){const next2=value.charCodeAt(index2+
+1);code2<56320&&next2>56319&&next2<57344?(replace2=String.fromCharCode(code2,next2),skip=1):replace2="�"}else replace2=String.fromCharCode(code2);replace2&&(result.push(value.slice(start2,index2),encodeURIComponent(replace2)),start2=index2+skip+1,replace2=""),skip&&(index2+=skip,skip=0)}return result.join("")+value.slice(start2)}function factorySpace(effects,ok,type2,max2){const limit2=max2?max2-1:Number.POSITIVE_INFINITY;let size2=0;return start2;function start2(code2){return markdownSpace(code2)?
+(effects.enter(type2),prefix(code2)):ok(code2)}function prefix(code2){return markdownSpace(code2)&&size2++<limit2?(effects.consume(code2),prefix):(effects.exit(type2),ok(code2))}}const content$1={tokenize:initializeContent};function initializeContent(effects){const contentStart=effects.attempt(this.parser.constructs.contentInitial,afterContentStartConstruct,paragraphInitial);let previous2;return contentStart;function afterContentStartConstruct(code2){if(code2===null){effects.consume(code2);return}
+return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,contentStart,"linePrefix")}function paragraphInitial(code2){return effects.enter("paragraph"),lineStart(code2)}function lineStart(code2){const token2=effects.enter("chunkText",{contentType:"text",previous:previous2});return previous2&&(previous2.next=token2),previous2=token2,data(code2)}function data(code2){if(code2===null){effects.exit("chunkText"),effects.exit("paragraph"),effects.consume(
+code2);return}return markdownLineEnding(code2)?(effects.consume(code2),effects.exit("chunkText"),lineStart):(effects.consume(code2),data)}}const document$2={tokenize:initializeDocument},containerConstruct={tokenize:tokenizeContainer};function initializeDocument(effects){const self2=this,stack=[];let continued=0,childFlow,childToken,lineStartOffset;return start2;function start2(code2){if(continued<stack.length){const item=stack[continued];return self2.containerState=item[1],effects.attempt(item[0].
+continuation,documentContinue,checkNewContainers)(code2)}return checkNewContainers(code2)}function documentContinue(code2){if(continued++,self2.containerState._closeFlow){self2.containerState._closeFlow=void 0,childFlow&&closeFlow();const indexBeforeExits=self2.events.length;let indexBeforeFlow=indexBeforeExits,point2;for(;indexBeforeFlow--;)if(self2.events[indexBeforeFlow][0]==="exit"&&self2.events[indexBeforeFlow][1].type==="chunkFlow"){point2=self2.events[indexBeforeFlow][1].end;break}exitContainers(
+continued);let index2=indexBeforeExits;for(;index2<self2.events.length;)self2.events[index2][1].end={...point2},index2++;return splice(self2.events,indexBeforeFlow+1,0,self2.events.slice(indexBeforeExits)),self2.events.length=index2,checkNewContainers(code2)}return start2(code2)}function checkNewContainers(code2){if(continued===stack.length){if(!childFlow)return documentContinued(code2);if(childFlow.currentConstruct&&childFlow.currentConstruct.concrete)return flowStart(code2);self2.interrupt=!!(childFlow.
+currentConstruct&&!childFlow._gfmTableDynamicInterruptHack)}return self2.containerState={},effects.check(containerConstruct,thereIsANewContainer,thereIsNoNewContainer)(code2)}function thereIsANewContainer(code2){return childFlow&&closeFlow(),exitContainers(continued),documentContinued(code2)}function thereIsNoNewContainer(code2){return self2.parser.lazy[self2.now().line]=continued!==stack.length,lineStartOffset=self2.now().offset,flowStart(code2)}function documentContinued(code2){return self2.containerState=
+{},effects.attempt(containerConstruct,containerContinue,flowStart)(code2)}function containerContinue(code2){return continued++,stack.push([self2.currentConstruct,self2.containerState]),documentContinued(code2)}function flowStart(code2){if(code2===null){childFlow&&closeFlow(),exitContainers(0),effects.consume(code2);return}return childFlow=childFlow||self2.parser.flow(self2.now()),effects.enter("chunkFlow",{_tokenizer:childFlow,contentType:"flow",previous:childToken}),flowContinue(code2)}function flowContinue(code2){
+if(code2===null){writeToChild(effects.exit("chunkFlow"),!0),exitContainers(0),effects.consume(code2);return}return markdownLineEnding(code2)?(effects.consume(code2),writeToChild(effects.exit("chunkFlow")),continued=0,self2.interrupt=void 0,start2):(effects.consume(code2),flowContinue)}function writeToChild(token2,endOfFile){const stream=self2.sliceStream(token2);if(endOfFile&&stream.push(null),token2.previous=childToken,childToken&&(childToken.next=token2),childToken=token2,childFlow.defineSkip(
+token2.start),childFlow.write(stream),self2.parser.lazy[token2.start.line]){let index2=childFlow.events.length;for(;index2--;)if(childFlow.events[index2][1].start.offset<lineStartOffset&&(!childFlow.events[index2][1].end||childFlow.events[index2][1].end.offset>lineStartOffset))return;const indexBeforeExits=self2.events.length;let indexBeforeFlow=indexBeforeExits,seen2,point2;for(;indexBeforeFlow--;)if(self2.events[indexBeforeFlow][0]==="exit"&&self2.events[indexBeforeFlow][1].type==="chunkFlow"){
+if(seen2){point2=self2.events[indexBeforeFlow][1].end;break}seen2=!0}for(exitContainers(continued),index2=indexBeforeExits;index2<self2.events.length;)self2.events[index2][1].end={...point2},index2++;splice(self2.events,indexBeforeFlow+1,0,self2.events.slice(indexBeforeExits)),self2.events.length=index2}}function exitContainers(size2){let index2=stack.length;for(;index2-- >size2;){const entry=stack[index2];self2.containerState=entry[1],entry[0].exit.call(self2,effects)}stack.length=size2}function closeFlow(){
+childFlow.write([null]),childToken=void 0,childFlow=void 0,self2.containerState._closeFlow=void 0}}function tokenizeContainer(effects,ok,nok){return factorySpace(effects,effects.attempt(this.parser.constructs.document,ok,nok),"linePrefix",this.parser.constructs.disable.null.includes("codeIndented")?void 0:4)}function classifyCharacter(code2){if(code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2))return 1;if(unicodePunctuation(code2))return 2}function resolveAll(constructs2,events,context){
+const called=[];let index2=-1;for(;++index2<constructs2.length;){const resolve2=constructs2[index2].resolveAll;resolve2&&!called.includes(resolve2)&&(events=resolve2(events,context),called.push(resolve2))}return events}const attention={name:"attention",resolveAll:resolveAllAttention,tokenize:tokenizeAttention};function resolveAllAttention(events,context){let index2=-1,open2,group,text2,openingSequence,closingSequence,use,nextEvents,offset2;for(;++index2<events.length;)if(events[index2][0]==="ent\
+er"&&events[index2][1].type==="attentionSequence"&&events[index2][1]._close){for(open2=index2;open2--;)if(events[open2][0]==="exit"&&events[open2][1].type==="attentionSequence"&&events[open2][1]._open&&context.sliceSerialize(events[open2][1]).charCodeAt(0)===context.sliceSerialize(events[index2][1]).charCodeAt(0)){if((events[open2][1]._close||events[index2][1]._open)&&(events[index2][1].end.offset-events[index2][1].start.offset)%3&&!((events[open2][1].end.offset-events[open2][1].start.offset+events[index2][1].
+end.offset-events[index2][1].start.offset)%3))continue;use=events[open2][1].end.offset-events[open2][1].start.offset>1&&events[index2][1].end.offset-events[index2][1].start.offset>1?2:1;const start2={...events[open2][1].end},end={...events[index2][1].start};movePoint(start2,-use),movePoint(end,use),openingSequence={type:use>1?"strongSequence":"emphasisSequence",start:start2,end:{...events[open2][1].end}},closingSequence={type:use>1?"strongSequence":"emphasisSequence",start:{...events[index2][1].
+start},end},text2={type:use>1?"strongText":"emphasisText",start:{...events[open2][1].end},end:{...events[index2][1].start}},group={type:use>1?"strong":"emphasis",start:{...openingSequence.start},end:{...closingSequence.end}},events[open2][1].end={...openingSequence.start},events[index2][1].start={...closingSequence.end},nextEvents=[],events[open2][1].end.offset-events[open2][1].start.offset&&(nextEvents=push(nextEvents,[["enter",events[open2][1],context],["exit",events[open2][1],context]])),nextEvents=
+push(nextEvents,[["enter",group,context],["enter",openingSequence,context],["exit",openingSequence,context],["enter",text2,context]]),nextEvents=push(nextEvents,resolveAll(context.parser.constructs.insideSpan.null,events.slice(open2+1,index2),context)),nextEvents=push(nextEvents,[["exit",text2,context],["enter",closingSequence,context],["exit",closingSequence,context],["exit",group,context]]),events[index2][1].end.offset-events[index2][1].start.offset?(offset2=2,nextEvents=push(nextEvents,[["ent\
+er",events[index2][1],context],["exit",events[index2][1],context]])):offset2=0,splice(events,open2-1,index2-open2+3,nextEvents),index2=open2+nextEvents.length-offset2-2;break}}for(index2=-1;++index2<events.length;)events[index2][1].type==="attentionSequence"&&(events[index2][1].type="data");return events}function tokenizeAttention(effects,ok){const attentionMarkers2=this.parser.constructs.attentionMarkers.null,previous2=this.previous,before=classifyCharacter(previous2);let marker;return start2;function start2(code2){
+return marker=code2,effects.enter("attentionSequence"),inside(code2)}function inside(code2){if(code2===marker)return effects.consume(code2),inside;const token2=effects.exit("attentionSequence"),after=classifyCharacter(code2),open2=!after||after===2&&before||attentionMarkers2.includes(code2),close2=!before||before===2&&after||attentionMarkers2.includes(previous2);return token2._open=!!(marker===42?open2:open2&&(before||!close2)),token2._close=!!(marker===42?close2:close2&&(after||!open2)),ok(code2)}}
+function movePoint(point2,offset2){point2.column+=offset2,point2.offset+=offset2,point2._bufferIndex+=offset2}const autolink={name:"autolink",tokenize:tokenizeAutolink};function tokenizeAutolink(effects,ok,nok){let size2=0;return start2;function start2(code2){return effects.enter("autolink"),effects.enter("autolinkMarker"),effects.consume(code2),effects.exit("autolinkMarker"),effects.enter("autolinkProtocol"),open2}function open2(code2){return asciiAlpha(code2)?(effects.consume(code2),schemeOrEmailAtext):
+code2===64?nok(code2):emailAtext(code2)}function schemeOrEmailAtext(code2){return code2===43||code2===45||code2===46||asciiAlphanumeric(code2)?(size2=1,schemeInsideOrEmailAtext(code2)):emailAtext(code2)}function schemeInsideOrEmailAtext(code2){return code2===58?(effects.consume(code2),size2=0,urlInside):(code2===43||code2===45||code2===46||asciiAlphanumeric(code2))&&size2++<32?(effects.consume(code2),schemeInsideOrEmailAtext):(size2=0,emailAtext(code2))}function urlInside(code2){return code2===62?
+(effects.exit("autolinkProtocol"),effects.enter("autolinkMarker"),effects.consume(code2),effects.exit("autolinkMarker"),effects.exit("autolink"),ok):code2===null||code2===32||code2===60||asciiControl(code2)?nok(code2):(effects.consume(code2),urlInside)}function emailAtext(code2){return code2===64?(effects.consume(code2),emailAtSignOrDot):asciiAtext(code2)?(effects.consume(code2),emailAtext):nok(code2)}function emailAtSignOrDot(code2){return asciiAlphanumeric(code2)?emailLabel(code2):nok(code2)}function emailLabel(code2){
+return code2===46?(effects.consume(code2),size2=0,emailAtSignOrDot):code2===62?(effects.exit("autolinkProtocol").type="autolinkEmail",effects.enter("autolinkMarker"),effects.consume(code2),effects.exit("autolinkMarker"),effects.exit("autolink"),ok):emailValue(code2)}function emailValue(code2){if((code2===45||asciiAlphanumeric(code2))&&size2++<63){const next2=code2===45?emailValue:emailLabel;return effects.consume(code2),next2}return nok(code2)}}const blankLine={partial:!0,tokenize:tokenizeBlankLine};
+function tokenizeBlankLine(effects,ok,nok){return start2;function start2(code2){return markdownSpace(code2)?factorySpace(effects,after,"linePrefix")(code2):after(code2)}function after(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const blockQuote={continuation:{tokenize:tokenizeBlockQuoteContinuation},exit:exit$1,name:"blockQuote",tokenize:tokenizeBlockQuoteStart};function tokenizeBlockQuoteStart(effects,ok,nok){const self2=this;return start2;function start2(code2){
+if(code2===62){const state2=self2.containerState;return state2.open||(effects.enter("blockQuote",{_container:!0}),state2.open=!0),effects.enter("blockQuotePrefix"),effects.enter("blockQuoteMarker"),effects.consume(code2),effects.exit("blockQuoteMarker"),after}return nok(code2)}function after(code2){return markdownSpace(code2)?(effects.enter("blockQuotePrefixWhitespace"),effects.consume(code2),effects.exit("blockQuotePrefixWhitespace"),effects.exit("blockQuotePrefix"),ok):(effects.exit("blockQuot\
+ePrefix"),ok(code2))}}function tokenizeBlockQuoteContinuation(effects,ok,nok){const self2=this;return contStart;function contStart(code2){return markdownSpace(code2)?factorySpace(effects,contBefore,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):contBefore(code2)}function contBefore(code2){return effects.attempt(blockQuote,ok,nok)(code2)}}function exit$1(effects){effects.exit("blockQuote")}const characterEscape={name:"characterEscape",tokenize:tokenizeCharacterEscape};
+function tokenizeCharacterEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("characterEscape"),effects.enter("escapeMarker"),effects.consume(code2),effects.exit("escapeMarker"),inside}function inside(code2){return asciiPunctuation(code2)?(effects.enter("characterEscapeValue"),effects.consume(code2),effects.exit("characterEscapeValue"),effects.exit("characterEscape"),ok):nok(code2)}}const characterReference={name:"characterReference",tokenize:tokenizeCharacterReference};
+function tokenizeCharacterReference(effects,ok,nok){const self2=this;let size2=0,max2,test;return start2;function start2(code2){return effects.enter("characterReference"),effects.enter("characterReferenceMarker"),effects.consume(code2),effects.exit("characterReferenceMarker"),open2}function open2(code2){return code2===35?(effects.enter("characterReferenceMarkerNumeric"),effects.consume(code2),effects.exit("characterReferenceMarkerNumeric"),numeric):(effects.enter("characterReferenceValue"),max2=
+31,test=asciiAlphanumeric,value(code2))}function numeric(code2){return code2===88||code2===120?(effects.enter("characterReferenceMarkerHexadecimal"),effects.consume(code2),effects.exit("characterReferenceMarkerHexadecimal"),effects.enter("characterReferenceValue"),max2=6,test=asciiHexDigit,value):(effects.enter("characterReferenceValue"),max2=7,test=asciiDigit,value(code2))}function value(code2){if(code2===59&&size2){const token2=effects.exit("characterReferenceValue");return test===asciiAlphanumeric&&
+!decodeNamedCharacterReference(self2.sliceSerialize(token2))?nok(code2):(effects.enter("characterReferenceMarker"),effects.consume(code2),effects.exit("characterReferenceMarker"),effects.exit("characterReference"),ok)}return test(code2)&&size2++<max2?(effects.consume(code2),value):nok(code2)}}const nonLazyContinuation$1={partial:!0,tokenize:tokenizeNonLazyContinuation$1},codeFenced={concrete:!0,name:"codeFenced",tokenize:tokenizeCodeFenced};function tokenizeCodeFenced(effects,ok,nok){const self2=this,
+closeStart={partial:!0,tokenize:tokenizeCloseStart};let initialPrefix=0,sizeOpen=0,marker;return start2;function start2(code2){return beforeSequenceOpen(code2)}function beforeSequenceOpen(code2){const tail=self2.events[self2.events.length-1];return initialPrefix=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0,marker=code2,effects.enter("codeFenced"),effects.enter("codeFencedFence"),effects.enter("codeFencedFenceSequence"),sequenceOpen(code2)}function sequenceOpen(code2){
+return code2===marker?(sizeOpen++,effects.consume(code2),sequenceOpen):sizeOpen<3?nok(code2):(effects.exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects,infoBefore,"whitespace")(code2):infoBefore(code2))}function infoBefore(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFencedFence"),self2.interrupt?ok(code2):effects.check(nonLazyContinuation$1,atNonLazyBreak,after)(code2)):(effects.enter("codeFencedFenceInfo"),effects.enter("chunkString",{contentType:"\
+string"}),info2(code2))}function info2(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceInfo"),infoBefore(code2)):markdownSpace(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceInfo"),factorySpace(effects,metaBefore,"whitespace")(code2)):code2===96&&code2===marker?nok(code2):(effects.consume(code2),info2)}function metaBefore(code2){return code2===null||markdownLineEnding(code2)?infoBefore(code2):(effects.enter("codeFe\
+ncedFenceMeta"),effects.enter("chunkString",{contentType:"string"}),meta(code2))}function meta(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("codeFencedFenceMeta"),infoBefore(code2)):code2===96&&code2===marker?nok(code2):(effects.consume(code2),meta)}function atNonLazyBreak(code2){return effects.attempt(closeStart,after,contentBefore)(code2)}function contentBefore(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("line\
+Ending"),contentStart}function contentStart(code2){return initialPrefix>0&&markdownSpace(code2)?factorySpace(effects,beforeContentChunk,"linePrefix",initialPrefix+1)(code2):beforeContentChunk(code2)}function beforeContentChunk(code2){return code2===null||markdownLineEnding(code2)?effects.check(nonLazyContinuation$1,atNonLazyBreak,after)(code2):(effects.enter("codeFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowVa\
+lue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("codeFenced"),ok(code2)}function tokenizeCloseStart(effects2,ok2,nok2){let size2=0;return startBefore;function startBefore(code2){return effects2.enter("lineEnding"),effects2.consume(code2),effects2.exit("lineEnding"),start3}function start3(code2){return effects2.enter("codeFencedFence"),markdownSpace(code2)?factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.
+disable.null.includes("codeIndented")?void 0:4)(code2):beforeSequenceClose(code2)}function beforeSequenceClose(code2){return code2===marker?(effects2.enter("codeFencedFenceSequence"),sequenceClose(code2)):nok2(code2)}function sequenceClose(code2){return code2===marker?(size2++,effects2.consume(code2),sequenceClose):size2>=sizeOpen?(effects2.exit("codeFencedFenceSequence"),markdownSpace(code2)?factorySpace(effects2,sequenceCloseAfter,"whitespace")(code2):sequenceCloseAfter(code2)):nok2(code2)}function sequenceCloseAfter(code2){
+return code2===null||markdownLineEnding(code2)?(effects2.exit("codeFencedFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation$1(effects,ok,nok){const self2=this;return start2;function start2(code2){return code2===null?nok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}const codeIndented={name:"codeIndented",tokenize:tokenizeCodeIndented},furtherStart={
+partial:!0,tokenize:tokenizeFurtherStart};function tokenizeCodeIndented(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("codeIndented"),factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?atBreak(code2):nok(code2)}function atBreak(code2){return code2===null?after(code2):markdownLineEnding(code2)?
+effects.attempt(furtherStart,atBreak,after)(code2):(effects.enter("codeFlowValue"),inside(code2))}function inside(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("codeFlowValue"),atBreak(code2)):(effects.consume(code2),inside)}function after(code2){return effects.exit("codeIndented"),ok(code2)}}function tokenizeFurtherStart(effects,ok,nok){const self2=this;return furtherStart2;function furtherStart2(code2){return self2.parser.lazy[self2.now().line]?nok(code2):markdownLineEnding(
+code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),furtherStart2):factorySpace(effects,afterPrefix,"linePrefix",5)(code2)}function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?ok(code2):markdownLineEnding(code2)?furtherStart2(code2):nok(code2)}}const codeText={name:"codeText",previous:previous$2,resolve:resolveCodeText,tokenize:tokenizeCodeText};function resolveCodeText(events){
+let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1].type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2<tailExitIndex;)if(events[index2][1].type==="codeTextData"){events[headEnterIndex][1].type="codeTextPadding",events[tailExitIndex][1].type="codeTextPadding",headEnterIndex+=2,tailExitIndex-=2;break}}for(index2=headEnterIndex-
+1,tailExitIndex++;++index2<=tailExitIndex;)enter===void 0?index2!==tailExitIndex&&events[index2][1].type!=="lineEnding"&&(enter=index2):(index2===tailExitIndex||events[index2][1].type==="lineEnding")&&(events[enter][1].type="codeTextData",index2!==enter+2&&(events[enter][1].end=events[index2-1][1].end,events.splice(enter+2,index2-enter-2),tailExitIndex-=index2-enter-2,index2=enter+2),enter=void 0);return events}function previous$2(code2){return code2!==96||this.events[this.events.length-1][1].type===
+"characterEscape"}function tokenizeCodeText(effects,ok,nok){let sizeOpen=0,size2,token2;return start2;function start2(code2){return effects.enter("codeText"),effects.enter("codeTextSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===96?(effects.consume(code2),sizeOpen++,sequenceOpen):(effects.exit("codeTextSequence"),between2(code2))}function between2(code2){return code2===null?nok(code2):code2===32?(effects.enter("space"),effects.consume(code2),effects.exit("space"),between2):
+code2===96?(token2=effects.enter("codeTextSequence"),size2=0,sequenceClose(code2)):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),between2):(effects.enter("codeTextData"),data(code2))}function data(code2){return code2===null||code2===32||code2===96||markdownLineEnding(code2)?(effects.exit("codeTextData"),between2(code2)):(effects.consume(code2),data)}function sequenceClose(code2){return code2===96?(effects.consume(code2),size2++,sequenceClose):
+size2===sizeOpen?(effects.exit("codeTextSequence"),effects.exit("codeText"),ok(code2)):(token2.type="codeTextData",data(code2))}}class SpliceBuffer{constructor(initial){this.left=initial?[...initial]:[],this.right=[]}get(index2){if(index2<0||index2>=this.left.length+this.right.length)throw new RangeError("Cannot access index `"+index2+"` in a splice buffer of size `"+(this.left.length+this.right.length)+"`");return index2<this.left.length?this.left[index2]:this.right[this.right.length-index2+this.
+left.length-1]}get length(){return this.left.length+this.right.length}shift(){return this.setCursor(0),this.right.pop()}slice(start2,end){const stop=end??Number.POSITIVE_INFINITY;return stop<this.left.length?this.left.slice(start2,stop):start2>this.left.length?this.right.slice(this.right.length-stop+this.left.length,this.right.length-start2+this.left.length).reverse():this.left.slice(start2).concat(this.right.slice(this.right.length-stop+this.left.length).reverse())}splice(start2,deleteCount,items2){
+const count=deleteCount||0;this.setCursor(Math.trunc(start2));const removed=this.right.splice(this.right.length-count,Number.POSITIVE_INFINITY);return items2&&chunkedPush(this.left,items2),removed.reverse()}pop(){return this.setCursor(Number.POSITIVE_INFINITY),this.left.pop()}push(item){this.setCursor(Number.POSITIVE_INFINITY),this.left.push(item)}pushMany(items2){this.setCursor(Number.POSITIVE_INFINITY),chunkedPush(this.left,items2)}unshift(item){this.setCursor(0),this.right.push(item)}unshiftMany(items2){
+this.setCursor(0),chunkedPush(this.right,items2.reverse())}setCursor(n){if(!(n===this.left.length||n>this.left.length&&this.right.length===0||n<0&&this.left.length===0))if(n<this.left.length){const removed=this.left.splice(n,Number.POSITIVE_INFINITY);chunkedPush(this.right,removed.reverse())}else{const removed=this.right.splice(this.left.length+this.right.length-n,Number.POSITIVE_INFINITY);chunkedPush(this.left,removed.reverse())}}}function chunkedPush(list2,right){let chunkStart=0;if(right.length<
+1e4)list2.push(...right);else for(;chunkStart<right.length;)list2.push(...right.slice(chunkStart,chunkStart+1e4)),chunkStart+=1e4}function subtokenize(eventsArray){const jumps={};let index2=-1,event2,lineIndex,otherIndex,otherEvent,parameters,subevents,more;const events=new SpliceBuffer(eventsArray);for(;++index2<events.length;){for(;index2 in jumps;)index2=jumps[index2];if(event2=events.get(index2),index2&&event2[1].type==="chunkFlow"&&events.get(index2-1)[1].type==="listItemPrefix"&&(subevents=
+event2[1]._tokenizer.events,otherIndex=0,otherIndex<subevents.length&&subevents[otherIndex][1].type==="lineEndingBlank"&&(otherIndex+=2),otherIndex<subevents.length&&subevents[otherIndex][1].type==="content"))for(;++otherIndex<subevents.length&&subevents[otherIndex][1].type!=="content";)subevents[otherIndex][1].type==="chunkText"&&(subevents[otherIndex][1]._isInFirstContentOfListItem=!0,otherIndex++);if(event2[0]==="enter")event2[1].contentType&&(Object.assign(jumps,subcontent(events,index2)),index2=
+jumps[index2],more=!0);else if(event2[1]._container){for(otherIndex=index2,lineIndex=void 0;otherIndex--;)if(otherEvent=events.get(otherIndex),otherEvent[1].type==="lineEnding"||otherEvent[1].type==="lineEndingBlank")otherEvent[0]==="enter"&&(lineIndex&&(events.get(lineIndex)[1].type="lineEndingBlank"),otherEvent[1].type="lineEnding",lineIndex=otherIndex);else if(!(otherEvent[1].type==="linePrefix"||otherEvent[1].type==="listItemIndent"))break;lineIndex&&(event2[1].end={...events.get(lineIndex)[1].
+start},parameters=events.slice(lineIndex,index2),parameters.unshift(event2),events.splice(lineIndex,index2-lineIndex+1,parameters))}}return splice(eventsArray,0,Number.POSITIVE_INFINITY,events.slice(0)),!more}function subcontent(events,eventIndex){const token2=events.get(eventIndex)[1],context=events.get(eventIndex)[2];let startPosition=eventIndex-1;const startPositions=[];let tokenizer=token2._tokenizer;tokenizer||(tokenizer=context.parser[token2.contentType](token2.start),token2._contentTypeTextTrailing&&
+(tokenizer._contentTypeTextTrailing=!0));const childEvents=tokenizer.events,jumps=[],gaps={};let stream,previous2,index2=-1,current2=token2,adjust=0,start2=0;const breaks=[start2];for(;current2;){for(;events.get(++startPosition)[1]!==current2;);startPositions.push(startPosition),current2._tokenizer||(stream=context.sliceStream(current2),current2.next||stream.push(null),previous2&&tokenizer.defineSkip(current2.start),current2._isInFirstContentOfListItem&&(tokenizer._gfmTasklistFirstContentOfListItem=
+!0),tokenizer.write(stream),current2._isInFirstContentOfListItem&&(tokenizer._gfmTasklistFirstContentOfListItem=void 0)),previous2=current2,current2=current2.next}for(current2=token2;++index2<childEvents.length;)childEvents[index2][0]==="exit"&&childEvents[index2-1][0]==="enter"&&childEvents[index2][1].type===childEvents[index2-1][1].type&&childEvents[index2][1].start.line!==childEvents[index2][1].end.line&&(start2=index2+1,breaks.push(start2),current2._tokenizer=void 0,current2.previous=void 0,
+current2=current2.next);for(tokenizer.events=[],current2?(current2._tokenizer=void 0,current2.previous=void 0):breaks.pop(),index2=breaks.length;index2--;){const slice=childEvents.slice(breaks[index2],breaks[index2+1]),start3=startPositions.pop();jumps.push([start3,start3+slice.length-1]),events.splice(start3,2,slice)}for(jumps.reverse(),index2=-1;++index2<jumps.length;)gaps[adjust+jumps[index2][0]]=adjust+jumps[index2][1],adjust+=jumps[index2][1]-jumps[index2][0]-1;return gaps}const content={resolve:resolveContent,
+tokenize:tokenizeContent},continuationConstruct={partial:!0,tokenize:tokenizeContinuation};function resolveContent(events){return subtokenize(events),events}function tokenizeContent(effects,ok){let previous2;return chunkStart;function chunkStart(code2){return effects.enter("content"),previous2=effects.enter("chunkContent",{contentType:"content"}),chunkInside(code2)}function chunkInside(code2){return code2===null?contentEnd(code2):markdownLineEnding(code2)?effects.check(continuationConstruct,contentContinue,
+contentEnd)(code2):(effects.consume(code2),chunkInside)}function contentEnd(code2){return effects.exit("chunkContent"),effects.exit("content"),ok(code2)}function contentContinue(code2){return effects.consume(code2),effects.exit("chunkContent"),previous2.next=effects.enter("chunkContent",{contentType:"content",previous:previous2}),previous2=previous2.next,chunkInside}}function tokenizeContinuation(effects,ok,nok){const self2=this;return startLookahead;function startLookahead(code2){return effects.
+exit("chunkContent"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,prefixed,"linePrefix")}function prefixed(code2){if(code2===null||markdownLineEnding(code2))return nok(code2);const tail=self2.events[self2.events.length-1];return!self2.parser.constructs.disable.null.includes("codeIndented")&&tail&&tail[1].type==="linePrefix"&&tail[2].sliceSerialize(tail[1],!0).length>=4?ok(code2):effects.interrupt(self2.parser.constructs.flow,nok,ok)(code2)}}function factoryDestination(effects,ok,nok,type2,literalType,literalMarkerType,rawType,stringType,max2){
+const limit2=max2||Number.POSITIVE_INFINITY;let balance=0;return start2;function start2(code2){return code2===60?(effects.enter(type2),effects.enter(literalType),effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),enclosedBefore):code2===null||code2===32||code2===41||asciiControl(code2)?nok(code2):(effects.enter(type2),effects.enter(rawType),effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),raw2(code2))}function enclosedBefore(code2){
+return code2===62?(effects.enter(literalMarkerType),effects.consume(code2),effects.exit(literalMarkerType),effects.exit(literalType),effects.exit(type2),ok):(effects.enter(stringType),effects.enter("chunkString",{contentType:"string"}),enclosed(code2))}function enclosed(code2){return code2===62?(effects.exit("chunkString"),effects.exit(stringType),enclosedBefore(code2)):code2===null||code2===60||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),code2===92?enclosedEscape:enclosed)}function enclosedEscape(code2){
+return code2===60||code2===62||code2===92?(effects.consume(code2),enclosed):enclosed(code2)}function raw2(code2){return!balance&&(code2===null||code2===41||markdownLineEndingOrSpace(code2))?(effects.exit("chunkString"),effects.exit(stringType),effects.exit(rawType),effects.exit(type2),ok(code2)):balance<limit2&&code2===40?(effects.consume(code2),balance++,raw2):code2===41?(effects.consume(code2),balance--,raw2):code2===null||code2===32||code2===40||asciiControl(code2)?nok(code2):(effects.consume(
+code2),code2===92?rawEscape:raw2)}function rawEscape(code2){return code2===40||code2===41||code2===92?(effects.consume(code2),raw2):raw2(code2)}}function factoryLabel(effects,ok,nok,type2,markerType,stringType){const self2=this;let size2=0,seen2;return start2;function start2(code2){return effects.enter(type2),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.enter(stringType),atBreak}function atBreak(code2){return size2>999||code2===null||code2===91||code2===93&&!seen2||
+code2===94&&!size2&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):code2===93?(effects.exit(stringType),effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),atBreak):(effects.enter("chunkString",{contentType:"string"}),labelInside(code2))}function labelInside(code2){return code2===null||code2===91||code2===93||markdownLineEnding(code2)||
+size2++>999?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),seen2||(seen2=!markdownSpace(code2)),code2===92?labelEscape:labelInside)}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,labelInside):labelInside(code2)}}function factoryTitle(effects,ok,nok,type2,markerType,stringType){let marker;return start2;function start2(code2){return code2===34||code2===39||code2===40?(effects.enter(type2),effects.enter(markerType),effects.
+consume(code2),effects.exit(markerType),marker=code2===40?41:code2,begin):nok(code2)}function begin(code2){return code2===marker?(effects.enter(markerType),effects.consume(code2),effects.exit(markerType),effects.exit(type2),ok):(effects.enter(stringType),atBreak(code2))}function atBreak(code2){return code2===marker?(effects.exit(stringType),begin(marker)):code2===null?nok(code2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(
+effects,atBreak,"linePrefix")):(effects.enter("chunkString",{contentType:"string"}),inside(code2))}function inside(code2){return code2===marker||code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),atBreak(code2)):(effects.consume(code2),code2===92?escape2:inside)}function escape2(code2){return code2===marker||code2===92?(effects.consume(code2),inside):inside(code2)}}function factoryWhitespace(effects,ok){let seen2;return start2;function start2(code2){return markdownLineEnding(code2)?
+(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),seen2=!0,start2):markdownSpace(code2)?factorySpace(effects,start2,seen2?"linePrefix":"lineSuffix")(code2):ok(code2)}}const definition$1={name:"definition",tokenize:tokenizeDefinition},titleBefore={partial:!0,tokenize:tokenizeTitleBefore};function tokenizeDefinition(effects,ok,nok){const self2=this;let identifier2;return start2;function start2(code2){return effects.enter("definition"),before(code2)}function before(code2){
+return factoryLabel.call(self2,effects,labelAfter,nok,"definitionLabel","definitionLabelMarker","definitionLabelString")(code2)}function labelAfter(code2){return identifier2=normalizeIdentifier(self2.sliceSerialize(self2.events[self2.events.length-1][1]).slice(1,-1)),code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),markerAfter):nok(code2)}function markerAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,destinationBefore)(
+code2):destinationBefore(code2)}function destinationBefore(code2){return factoryDestination(effects,destinationAfter,nok,"definitionDestination","definitionDestinationLiteral","definitionDestinationLiteralMarker","definitionDestinationRaw","definitionDestinationString")(code2)}function destinationAfter(code2){return effects.attempt(titleBefore,after,after)(code2)}function after(code2){return markdownSpace(code2)?factorySpace(effects,afterWhitespace,"whitespace")(code2):afterWhitespace(code2)}function afterWhitespace(code2){
+return code2===null||markdownLineEnding(code2)?(effects.exit("definition"),self2.parser.defined.push(identifier2),ok(code2)):nok(code2)}}function tokenizeTitleBefore(effects,ok,nok){return titleBefore2;function titleBefore2(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,beforeMarker)(code2):nok(code2)}function beforeMarker(code2){return factoryTitle(effects,titleAfter,nok,"definitionTitle","definitionTitleMarker","definitionTitleString")(code2)}function titleAfter(code2){
+return markdownSpace(code2)?factorySpace(effects,titleAfterOptionalWhitespace,"whitespace")(code2):titleAfterOptionalWhitespace(code2)}function titleAfterOptionalWhitespace(code2){return code2===null||markdownLineEnding(code2)?ok(code2):nok(code2)}}const hardBreakEscape={name:"hardBreakEscape",tokenize:tokenizeHardBreakEscape};function tokenizeHardBreakEscape(effects,ok,nok){return start2;function start2(code2){return effects.enter("hardBreakEscape"),effects.consume(code2),after}function after(code2){
+return markdownLineEnding(code2)?(effects.exit("hardBreakEscape"),ok(code2)):nok(code2)}}const headingAtx={name:"headingAtx",resolve:resolveHeadingAtx,tokenize:tokenizeHeadingAtx};function resolveHeadingAtx(events,context){let contentEnd=events.length-2,contentStart=3,content2,text2;return events[contentStart][1].type==="whitespace"&&(contentStart+=2),contentEnd-2>contentStart&&events[contentEnd][1].type==="whitespace"&&(contentEnd-=2),events[contentEnd][1].type==="atxHeadingSequence"&&(contentStart===
+contentEnd-1||contentEnd-4>contentStart&&events[contentEnd-2][1].type==="whitespace")&&(contentEnd-=contentStart+1===contentEnd?2:4),contentEnd>contentStart&&(content2={type:"atxHeadingText",start:events[contentStart][1].start,end:events[contentEnd][1].end},text2={type:"chunkText",start:events[contentStart][1].start,end:events[contentEnd][1].end,contentType:"text"},splice(events,contentStart,contentEnd-contentStart+1,[["enter",content2,context],["enter",text2,context],["exit",text2,context],["ex\
+it",content2,context]])),events}function tokenizeHeadingAtx(effects,ok,nok){let size2=0;return start2;function start2(code2){return effects.enter("atxHeading"),before(code2)}function before(code2){return effects.enter("atxHeadingSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===35&&size2++<6?(effects.consume(code2),sequenceOpen):code2===null||markdownLineEndingOrSpace(code2)?(effects.exit("atxHeadingSequence"),atBreak(code2)):nok(code2)}function atBreak(code2){return code2===
+35?(effects.enter("atxHeadingSequence"),sequenceFurther(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("atxHeading"),ok(code2)):markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):(effects.enter("atxHeadingText"),data(code2))}function sequenceFurther(code2){return code2===35?(effects.consume(code2),sequenceFurther):(effects.exit("atxHeadingSequence"),atBreak(code2))}function data(code2){return code2===null||code2===35||markdownLineEndingOrSpace(code2)?(effects.exit(
+"atxHeadingText"),atBreak(code2)):(effects.consume(code2),data)}}const htmlBlockNames=["address","article","aside","base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","search","section","summary","\
+table","tbody","td","tfoot","th","thead","title","tr","track","ul"],htmlRawNames=["pre","script","style","textarea"],htmlFlow={concrete:!0,name:"htmlFlow",resolveTo:resolveToHtmlFlow,tokenize:tokenizeHtmlFlow},blankLineBefore={partial:!0,tokenize:tokenizeBlankLineBefore},nonLazyContinuationStart={partial:!0,tokenize:tokenizeNonLazyContinuationStart};function resolveToHtmlFlow(events){let index2=events.length;for(;index2--&&!(events[index2][0]==="enter"&&events[index2][1].type==="htmlFlow"););return index2>
+1&&events[index2-2][1].type==="linePrefix"&&(events[index2][1].start=events[index2-2][1].start,events[index2+1][1].start=events[index2-2][1].start,events.splice(index2-2,2)),events}function tokenizeHtmlFlow(effects,ok,nok){const self2=this;let marker,closingTag,buffer,index2,markerB;return start2;function start2(code2){return before(code2)}function before(code2){return effects.enter("htmlFlow"),effects.enter("htmlFlowData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.
+consume(code2),declarationOpen):code2===47?(effects.consume(code2),closingTag=!0,tagCloseStart):code2===63?(effects.consume(code2),marker=3,self2.interrupt?ok:continuationDeclarationInside):asciiAlpha(code2)?(effects.consume(code2),buffer=String.fromCharCode(code2),tagName):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),marker=2,commentOpenInside):code2===91?(effects.consume(code2),marker=5,index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),
+marker=4,self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),self2.interrupt?ok:continuationDeclarationInside):nok(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(code2),index2===value.length?self2.interrupt?ok:continuation:cdataOpenInside):nok(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?(effects.consume(code2),buffer=String.
+fromCharCode(code2),tagName):nok(code2)}function tagName(code2){if(code2===null||code2===47||code2===62||markdownLineEndingOrSpace(code2)){const slash=code2===47,name=buffer.toLowerCase();return!slash&&!closingTag&&htmlRawNames.includes(name)?(marker=1,self2.interrupt?ok(code2):continuation(code2)):htmlBlockNames.includes(buffer.toLowerCase())?(marker=6,slash?(effects.consume(code2),basicSelfClosing):self2.interrupt?ok(code2):continuation(code2)):(marker=7,self2.interrupt&&!self2.parser.lazy[self2.
+now().line]?nok(code2):closingTag?completeClosingTagAfter(code2):completeAttributeNameBefore(code2))}return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),buffer+=String.fromCharCode(code2),tagName):nok(code2)}function basicSelfClosing(code2){return code2===62?(effects.consume(code2),self2.interrupt?ok:continuation):nok(code2)}function completeClosingTagAfter(code2){return markdownSpace(code2)?(effects.consume(code2),completeClosingTagAfter):completeEnd(code2)}function completeAttributeNameBefore(code2){
+return code2===47?(effects.consume(code2),completeEnd):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),completeAttributeName):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameBefore):completeEnd(code2)}function completeAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),completeAttributeName):completeAttributeNameAfter(code2)}function completeAttributeNameAfter(code2){return code2===61?(effects.
+consume(code2),completeAttributeValueBefore):markdownSpace(code2)?(effects.consume(code2),completeAttributeNameAfter):completeAttributeNameBefore(code2)}function completeAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),markerB=code2,completeAttributeValueQuoted):markdownSpace(code2)?(effects.consume(code2),completeAttributeValueBefore):completeAttributeValueUnquoted(code2)}function completeAttributeValueQuoted(code2){
+return code2===markerB?(effects.consume(code2),markerB=null,completeAttributeValueQuotedAfter):code2===null||markdownLineEnding(code2)?nok(code2):(effects.consume(code2),completeAttributeValueQuoted)}function completeAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===47||code2===60||code2===61||code2===62||code2===96||markdownLineEndingOrSpace(code2)?completeAttributeNameAfter(code2):(effects.consume(code2),completeAttributeValueUnquoted)}function completeAttributeValueQuotedAfter(code2){
+return code2===47||code2===62||markdownSpace(code2)?completeAttributeNameBefore(code2):nok(code2)}function completeEnd(code2){return code2===62?(effects.consume(code2),completeAfter):nok(code2)}function completeAfter(code2){return code2===null||markdownLineEnding(code2)?continuation(code2):markdownSpace(code2)?(effects.consume(code2),completeAfter):nok(code2)}function continuation(code2){return code2===45&&marker===2?(effects.consume(code2),continuationCommentInside):code2===60&&marker===1?(effects.
+consume(code2),continuationRawTagOpen):code2===62&&marker===4?(effects.consume(code2),continuationClose):code2===63&&marker===3?(effects.consume(code2),continuationDeclarationInside):code2===93&&marker===5?(effects.consume(code2),continuationCdataInside):markdownLineEnding(code2)&&(marker===6||marker===7)?(effects.exit("htmlFlowData"),effects.check(blankLineBefore,continuationAfter,continuationStart)(code2)):code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationStart(
+code2)):(effects.consume(code2),continuation)}function continuationStart(code2){return effects.check(nonLazyContinuationStart,continuationStartNonLazy,continuationAfter)(code2)}function continuationStartNonLazy(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),continuationBefore}function continuationBefore(code2){return code2===null||markdownLineEnding(code2)?continuationStart(code2):(effects.enter("htmlFlowData"),continuation(code2))}function continuationCommentInside(code2){
+return code2===45?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationRawTagOpen(code2){return code2===47?(effects.consume(code2),buffer="",continuationRawEndTag):continuation(code2)}function continuationRawEndTag(code2){if(code2===62){const name=buffer.toLowerCase();return htmlRawNames.includes(name)?(effects.consume(code2),continuationClose):continuation(code2)}return asciiAlpha(code2)&&buffer.length<8?(effects.consume(code2),buffer+=String.fromCharCode(
+code2),continuationRawEndTag):continuation(code2)}function continuationCdataInside(code2){return code2===93?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationDeclarationInside(code2){return code2===62?(effects.consume(code2),continuationClose):code2===45&&marker===2?(effects.consume(code2),continuationDeclarationInside):continuation(code2)}function continuationClose(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("htmlFlowData"),continuationAfter(
+code2)):(effects.consume(code2),continuationClose)}function continuationAfter(code2){return effects.exit("htmlFlow"),ok(code2)}}function tokenizeNonLazyContinuationStart(effects,ok,nok){const self2=this;return start2;function start2(code2){return markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),after):nok(code2)}function after(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function tokenizeBlankLineBefore(effects,ok,nok){
+return start2;function start2(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),effects.attempt(blankLine,ok,nok)}}const htmlText={name:"htmlText",tokenize:tokenizeHtmlText};function tokenizeHtmlText(effects,ok,nok){const self2=this;let marker,index2,returnState;return start2;function start2(code2){return effects.enter("htmlText"),effects.enter("htmlTextData"),effects.consume(code2),open2}function open2(code2){return code2===33?(effects.consume(code2),declarationOpen):
+code2===47?(effects.consume(code2),tagCloseStart):code2===63?(effects.consume(code2),instruction):asciiAlpha(code2)?(effects.consume(code2),tagOpen):nok(code2)}function declarationOpen(code2){return code2===45?(effects.consume(code2),commentOpenInside):code2===91?(effects.consume(code2),index2=0,cdataOpenInside):asciiAlpha(code2)?(effects.consume(code2),declaration):nok(code2)}function commentOpenInside(code2){return code2===45?(effects.consume(code2),commentEnd):nok(code2)}function comment2(code2){
+return code2===null?nok(code2):code2===45?(effects.consume(code2),commentClose):markdownLineEnding(code2)?(returnState=comment2,lineEndingBefore(code2)):(effects.consume(code2),comment2)}function commentClose(code2){return code2===45?(effects.consume(code2),commentEnd):comment2(code2)}function commentEnd(code2){return code2===62?end(code2):code2===45?commentClose(code2):comment2(code2)}function cdataOpenInside(code2){const value="CDATA[";return code2===value.charCodeAt(index2++)?(effects.consume(
+code2),index2===value.length?cdata:cdataOpenInside):nok(code2)}function cdata(code2){return code2===null?nok(code2):code2===93?(effects.consume(code2),cdataClose):markdownLineEnding(code2)?(returnState=cdata,lineEndingBefore(code2)):(effects.consume(code2),cdata)}function cdataClose(code2){return code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function cdataEnd(code2){return code2===62?end(code2):code2===93?(effects.consume(code2),cdataEnd):cdata(code2)}function declaration(code2){return code2===
+null||code2===62?end(code2):markdownLineEnding(code2)?(returnState=declaration,lineEndingBefore(code2)):(effects.consume(code2),declaration)}function instruction(code2){return code2===null?nok(code2):code2===63?(effects.consume(code2),instructionClose):markdownLineEnding(code2)?(returnState=instruction,lineEndingBefore(code2)):(effects.consume(code2),instruction)}function instructionClose(code2){return code2===62?end(code2):instruction(code2)}function tagCloseStart(code2){return asciiAlpha(code2)?
+(effects.consume(code2),tagClose):nok(code2)}function tagClose(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagClose):tagCloseBetween(code2)}function tagCloseBetween(code2){return markdownLineEnding(code2)?(returnState=tagCloseBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagCloseBetween):end(code2)}function tagOpen(code2){return code2===45||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpen):code2===47||code2===62||markdownLineEndingOrSpace(
+code2)?tagOpenBetween(code2):nok(code2)}function tagOpenBetween(code2){return code2===47?(effects.consume(code2),end):code2===58||code2===95||asciiAlpha(code2)?(effects.consume(code2),tagOpenAttributeName):markdownLineEnding(code2)?(returnState=tagOpenBetween,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenBetween):end(code2)}function tagOpenAttributeName(code2){return code2===45||code2===46||code2===58||code2===95||asciiAlphanumeric(code2)?(effects.consume(code2),tagOpenAttributeName):
+tagOpenAttributeNameAfter(code2)}function tagOpenAttributeNameAfter(code2){return code2===61?(effects.consume(code2),tagOpenAttributeValueBefore):markdownLineEnding(code2)?(returnState=tagOpenAttributeNameAfter,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeNameAfter):tagOpenBetween(code2)}function tagOpenAttributeValueBefore(code2){return code2===null||code2===60||code2===61||code2===62||code2===96?nok(code2):code2===34||code2===39?(effects.consume(code2),
+marker=code2,tagOpenAttributeValueQuoted):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueBefore,lineEndingBefore(code2)):markdownSpace(code2)?(effects.consume(code2),tagOpenAttributeValueBefore):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuoted(code2){return code2===marker?(effects.consume(code2),marker=void 0,tagOpenAttributeValueQuotedAfter):code2===null?nok(code2):markdownLineEnding(code2)?(returnState=tagOpenAttributeValueQuoted,lineEndingBefore(
+code2)):(effects.consume(code2),tagOpenAttributeValueQuoted)}function tagOpenAttributeValueUnquoted(code2){return code2===null||code2===34||code2===39||code2===60||code2===61||code2===96?nok(code2):code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):(effects.consume(code2),tagOpenAttributeValueUnquoted)}function tagOpenAttributeValueQuotedAfter(code2){return code2===47||code2===62||markdownLineEndingOrSpace(code2)?tagOpenBetween(code2):nok(code2)}function end(code2){return code2===
+62?(effects.consume(code2),effects.exit("htmlTextData"),effects.exit("htmlText"),ok):nok(code2)}function lineEndingBefore(code2){return effects.exit("htmlTextData"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineEndingAfter}function lineEndingAfter(code2){return markdownSpace(code2)?factorySpace(effects,lineEndingAfterPrefix,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):lineEndingAfterPrefix(code2)}function lineEndingAfterPrefix(code2){
+return effects.enter("htmlTextData"),returnState(code2)}}const labelEnd={name:"labelEnd",resolveAll:resolveAllLabelEnd,resolveTo:resolveToLabelEnd,tokenize:tokenizeLabelEnd},resourceConstruct={tokenize:tokenizeResource},referenceFullConstruct={tokenize:tokenizeReferenceFull},referenceCollapsedConstruct={tokenize:tokenizeReferenceCollapsed};function resolveAllLabelEnd(events){let index2=-1;const newEvents=[];for(;++index2<events.length;){const token2=events[index2][1];if(newEvents.push(events[index2]),
+token2.type==="labelImage"||token2.type==="labelLink"||token2.type==="labelEnd"){const offset2=token2.type==="labelImage"?4:2;token2.type="data",index2+=offset2}}return events.length!==newEvents.length&&splice(events,0,events.length,newEvents),events}function resolveToLabelEnd(events,context){let index2=events.length,offset2=0,token2,open2,close2,media;for(;index2--;)if(token2=events[index2][1],open2){if(token2.type==="link"||token2.type==="labelLink"&&token2._inactive)break;events[index2][0]===
+"enter"&&token2.type==="labelLink"&&(token2._inactive=!0)}else if(close2){if(events[index2][0]==="enter"&&(token2.type==="labelImage"||token2.type==="labelLink")&&!token2._balanced&&(open2=index2,token2.type!=="labelLink")){offset2=2;break}}else token2.type==="labelEnd"&&(close2=index2);const group={type:events[open2][1].type==="labelLink"?"link":"image",start:{...events[open2][1].start},end:{...events[events.length-1][1].end}},label={type:"label",start:{...events[open2][1].start},end:{...events[close2][1].
+end}},text2={type:"labelText",start:{...events[open2+offset2+2][1].end},end:{...events[close2-2][1].start}};return media=[["enter",group,context],["enter",label,context]],media=push(media,events.slice(open2+1,open2+offset2+3)),media=push(media,[["enter",text2,context]]),media=push(media,resolveAll(context.parser.constructs.insideSpan.null,events.slice(open2+offset2+4,close2-3),context)),media=push(media,[["exit",text2,context],events[close2-2],events[close2-1],["exit",label,context]]),media=push(
+media,events.slice(close2+1)),media=push(media,[["exit",group,context]]),splice(events,open2,events.length,media),events}function tokenizeLabelEnd(effects,ok,nok){const self2=this;let index2=self2.events.length,labelStart,defined;for(;index2--;)if((self2.events[index2][1].type==="labelImage"||self2.events[index2][1].type==="labelLink")&&!self2.events[index2][1]._balanced){labelStart=self2.events[index2][1];break}return start2;function start2(code2){return labelStart?labelStart._inactive?labelEndNok(
+code2):(defined=self2.parser.defined.includes(normalizeIdentifier(self2.sliceSerialize({start:labelStart.end,end:self2.now()}))),effects.enter("labelEnd"),effects.enter("labelMarker"),effects.consume(code2),effects.exit("labelMarker"),effects.exit("labelEnd"),after):nok(code2)}function after(code2){return code2===40?effects.attempt(resourceConstruct,labelEndOk,defined?labelEndOk:labelEndNok)(code2):code2===91?effects.attempt(referenceFullConstruct,labelEndOk,defined?referenceNotFull:labelEndNok)(
+code2):defined?labelEndOk(code2):labelEndNok(code2)}function referenceNotFull(code2){return effects.attempt(referenceCollapsedConstruct,labelEndOk,labelEndNok)(code2)}function labelEndOk(code2){return ok(code2)}function labelEndNok(code2){return labelStart._balanced=!0,nok(code2)}}function tokenizeResource(effects,ok,nok){return resourceStart;function resourceStart(code2){return effects.enter("resource"),effects.enter("resourceMarker"),effects.consume(code2),effects.exit("resourceMarker"),resourceBefore}
+function resourceBefore(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,resourceOpen)(code2):resourceOpen(code2)}function resourceOpen(code2){return code2===41?resourceEnd(code2):factoryDestination(effects,resourceDestinationAfter,resourceDestinationMissing,"resourceDestination","resourceDestinationLiteral","resourceDestinationLiteralMarker","resourceDestinationRaw","resourceDestinationString",32)(code2)}function resourceDestinationAfter(code2){return markdownLineEndingOrSpace(
+code2)?factoryWhitespace(effects,resourceBetween)(code2):resourceEnd(code2)}function resourceDestinationMissing(code2){return nok(code2)}function resourceBetween(code2){return code2===34||code2===39||code2===40?factoryTitle(effects,resourceTitleAfter,nok,"resourceTitle","resourceTitleMarker","resourceTitleString")(code2):resourceEnd(code2)}function resourceTitleAfter(code2){return markdownLineEndingOrSpace(code2)?factoryWhitespace(effects,resourceEnd)(code2):resourceEnd(code2)}function resourceEnd(code2){
+return code2===41?(effects.enter("resourceMarker"),effects.consume(code2),effects.exit("resourceMarker"),effects.exit("resource"),ok):nok(code2)}}function tokenizeReferenceFull(effects,ok,nok){const self2=this;return referenceFull;function referenceFull(code2){return factoryLabel.call(self2,effects,referenceFullAfter,referenceFullMissing,"reference","referenceMarker","referenceString")(code2)}function referenceFullAfter(code2){return self2.parser.defined.includes(normalizeIdentifier(self2.sliceSerialize(
+self2.events[self2.events.length-1][1]).slice(1,-1)))?ok(code2):nok(code2)}function referenceFullMissing(code2){return nok(code2)}}function tokenizeReferenceCollapsed(effects,ok,nok){return referenceCollapsedStart;function referenceCollapsedStart(code2){return effects.enter("reference"),effects.enter("referenceMarker"),effects.consume(code2),effects.exit("referenceMarker"),referenceCollapsedOpen}function referenceCollapsedOpen(code2){return code2===93?(effects.enter("referenceMarker"),effects.consume(
+code2),effects.exit("referenceMarker"),effects.exit("reference"),ok):nok(code2)}}const labelStartImage={name:"labelStartImage",resolveAll:labelEnd.resolveAll,tokenize:tokenizeLabelStartImage};function tokenizeLabelStartImage(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("labelImage"),effects.enter("labelImageMarker"),effects.consume(code2),effects.exit("labelImageMarker"),open2}function open2(code2){return code2===91?(effects.enter("labelMarker"),effects.
+consume(code2),effects.exit("labelMarker"),effects.exit("labelImage"),after):nok(code2)}function after(code2){return code2===94&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):ok(code2)}}const labelStartLink={name:"labelStartLink",resolveAll:labelEnd.resolveAll,tokenize:tokenizeLabelStartLink};function tokenizeLabelStartLink(effects,ok,nok){const self2=this;return start2;function start2(code2){return effects.enter("labelLink"),effects.enter("labelMarker"),effects.consume(code2),effects.
+exit("labelMarker"),effects.exit("labelLink"),after}function after(code2){return code2===94&&"_hiddenFootnoteSupport"in self2.parser.constructs?nok(code2):ok(code2)}}const lineEnding={name:"lineEnding",tokenize:tokenizeLineEnding};function tokenizeLineEnding(effects,ok){return start2;function start2(code2){return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),factorySpace(effects,ok,"linePrefix")}}const thematicBreak$2={name:"thematicBreak",tokenize:tokenizeThematicBreak};
+function tokenizeThematicBreak(effects,ok,nok){let size2=0,marker;return start2;function start2(code2){return effects.enter("thematicBreak"),before(code2)}function before(code2){return marker=code2,atBreak(code2)}function atBreak(code2){return code2===marker?(effects.enter("thematicBreakSequence"),sequence(code2)):size2>=3&&(code2===null||markdownLineEnding(code2))?(effects.exit("thematicBreak"),ok(code2)):nok(code2)}function sequence(code2){return code2===marker?(effects.consume(code2),size2++,
+sequence):(effects.exit("thematicBreakSequence"),markdownSpace(code2)?factorySpace(effects,atBreak,"whitespace")(code2):atBreak(code2))}}const list$3={continuation:{tokenize:tokenizeListContinuation},exit:tokenizeListEnd,name:"list",tokenize:tokenizeListStart},listItemPrefixWhitespaceConstruct={partial:!0,tokenize:tokenizeListItemPrefixWhitespace},indentConstruct={partial:!0,tokenize:tokenizeIndent$1};function tokenizeListStart(effects,ok,nok){const self2=this,tail=self2.events[self2.events.length-
+1];let initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0,size2=0;return start2;function start2(code2){const kind=self2.containerState.type||(code2===42||code2===43||code2===45?"listUnordered":"listOrdered");if(kind==="listUnordered"?!self2.containerState.marker||code2===self2.containerState.marker:asciiDigit(code2)){if(self2.containerState.type||(self2.containerState.type=kind,effects.enter(kind,{_container:!0})),kind==="listUnordered")return effects.enter(
+"listItemPrefix"),code2===42||code2===45?effects.check(thematicBreak$2,nok,atMarker)(code2):atMarker(code2);if(!self2.interrupt||code2===49)return effects.enter("listItemPrefix"),effects.enter("listItemValue"),inside(code2)}return nok(code2)}function inside(code2){return asciiDigit(code2)&&++size2<10?(effects.consume(code2),inside):(!self2.interrupt||size2<2)&&(self2.containerState.marker?code2===self2.containerState.marker:code2===41||code2===46)?(effects.exit("listItemValue"),atMarker(code2)):
+nok(code2)}function atMarker(code2){return effects.enter("listItemMarker"),effects.consume(code2),effects.exit("listItemMarker"),self2.containerState.marker=self2.containerState.marker||code2,effects.check(blankLine,self2.interrupt?nok:onBlank,effects.attempt(listItemPrefixWhitespaceConstruct,endOfPrefix,otherPrefix))}function onBlank(code2){return self2.containerState.initialBlankLine=!0,initialSize++,endOfPrefix(code2)}function otherPrefix(code2){return markdownSpace(code2)?(effects.enter("lis\
+tItemPrefixWhitespace"),effects.consume(code2),effects.exit("listItemPrefixWhitespace"),endOfPrefix):nok(code2)}function endOfPrefix(code2){return self2.containerState.size=initialSize+self2.sliceSerialize(effects.exit("listItemPrefix"),!0).length,ok(code2)}}function tokenizeListContinuation(effects,ok,nok){const self2=this;return self2.containerState._closeFlow=void 0,effects.check(blankLine,onBlank,notBlank);function onBlank(code2){return self2.containerState.furtherBlankLines=self2.containerState.
+furtherBlankLines||self2.containerState.initialBlankLine,factorySpace(effects,ok,"listItemIndent",self2.containerState.size+1)(code2)}function notBlank(code2){return self2.containerState.furtherBlankLines||!markdownSpace(code2)?(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,notInCurrentItem(code2)):(self2.containerState.furtherBlankLines=void 0,self2.containerState.initialBlankLine=void 0,effects.attempt(indentConstruct,ok,notInCurrentItem)(code2))}function notInCurrentItem(code2){
+return self2.containerState._closeFlow=!0,self2.interrupt=void 0,factorySpace(effects,effects.attempt(list$3,ok,nok),"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2)}}function tokenizeIndent$1(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemIndent",self2.containerState.size+1);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="listItemIndent"&&tail[2].sliceSerialize(tail[1],
+!0).length===self2.containerState.size?ok(code2):nok(code2)}}function tokenizeListEnd(effects){effects.exit(this.containerState.type)}function tokenizeListItemPrefixWhitespace(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"listItemPrefixWhitespace",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return!markdownSpace(code2)&&tail&&tail[1].type==="listItemPrefixWhitespace"?
+ok(code2):nok(code2)}}const setextUnderline={name:"setextUnderline",resolveTo:resolveToSetextUnderline,tokenize:tokenizeSetextUnderline};function resolveToSetextUnderline(events,context){let index2=events.length,content2,text2,definition2;for(;index2--;)if(events[index2][0]==="enter"){if(events[index2][1].type==="content"){content2=index2;break}events[index2][1].type==="paragraph"&&(text2=index2)}else events[index2][1].type==="content"&&events.splice(index2,1),!definition2&&events[index2][1].type===
+"definition"&&(definition2=index2);const heading2={type:"setextHeading",start:{...events[content2][1].start},end:{...events[events.length-1][1].end}};return events[text2][1].type="setextHeadingText",definition2?(events.splice(text2,0,["enter",heading2,context]),events.splice(definition2+1,0,["exit",events[content2][1],context]),events[content2][1].end={...events[definition2][1].end}):events[content2][1]=heading2,events.push(["exit",heading2,context]),events}function tokenizeSetextUnderline(effects,ok,nok){
+const self2=this;let marker;return start2;function start2(code2){let index2=self2.events.length,paragraph2;for(;index2--;)if(self2.events[index2][1].type!=="lineEnding"&&self2.events[index2][1].type!=="linePrefix"&&self2.events[index2][1].type!=="content"){paragraph2=self2.events[index2][1].type==="paragraph";break}return!self2.parser.lazy[self2.now().line]&&(self2.interrupt||paragraph2)?(effects.enter("setextHeadingLine"),marker=code2,before(code2)):nok(code2)}function before(code2){return effects.
+enter("setextHeadingLineSequence"),inside(code2)}function inside(code2){return code2===marker?(effects.consume(code2),inside):(effects.exit("setextHeadingLineSequence"),markdownSpace(code2)?factorySpace(effects,after,"lineSuffix")(code2):after(code2))}function after(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("setextHeadingLine"),ok(code2)):nok(code2)}}const flow$1={tokenize:initializeFlow};function initializeFlow(effects){const self2=this,initial=effects.attempt(blankLine,
+atBlankEnding,effects.attempt(this.parser.constructs.flowInitial,afterConstruct,factorySpace(effects,effects.attempt(this.parser.constructs.flow,afterConstruct,effects.attempt(content,afterConstruct)),"linePrefix")));return initial;function atBlankEnding(code2){if(code2===null){effects.consume(code2);return}return effects.enter("lineEndingBlank"),effects.consume(code2),effects.exit("lineEndingBlank"),self2.currentConstruct=void 0,initial}function afterConstruct(code2){if(code2===null){effects.consume(
+code2);return}return effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),self2.currentConstruct=void 0,initial}}const resolver={resolveAll:createResolver()},string$1=initializeFactory("string"),text$7=initializeFactory("text");function initializeFactory(field){return{resolveAll:createResolver(field==="text"?resolveAllLineSuffixes:void 0),tokenize:initializeText};function initializeText(effects){const self2=this,constructs2=this.parser.constructs[field],text2=effects.attempt(
+constructs2,start2,notText);return start2;function start2(code2){return atBreak(code2)?text2(code2):notText(code2)}function notText(code2){if(code2===null){effects.consume(code2);return}return effects.enter("data"),effects.consume(code2),data}function data(code2){return atBreak(code2)?(effects.exit("data"),text2(code2)):(effects.consume(code2),data)}function atBreak(code2){if(code2===null)return!0;const list2=constructs2[code2];let index2=-1;if(list2)for(;++index2<list2.length;){const item=list2[index2];
+if(!item.previous||item.previous.call(self2,self2.previous))return!0}return!1}}}function createResolver(extraResolver){return resolveAllText;function resolveAllText(events,context){let index2=-1,enter;for(;++index2<=events.length;)enter===void 0?events[index2]&&events[index2][1].type==="data"&&(enter=index2,index2++):(!events[index2]||events[index2][1].type!=="data")&&(index2!==enter+2&&(events[enter][1].end=events[index2-1][1].end,events.splice(enter+2,index2-enter-2),index2=enter+2),enter=void 0);
+return extraResolver?extraResolver(events,context):events}}function resolveAllLineSuffixes(events,context){let eventIndex=0;for(;++eventIndex<=events.length;)if((eventIndex===events.length||events[eventIndex][1].type==="lineEnding")&&events[eventIndex-1][1].type==="data"){const data=events[eventIndex-1][1],chunks=context.sliceStream(data);let index2=chunks.length,bufferIndex=-1,size2=0,tabs;for(;index2--;){const chunk=chunks[index2];if(typeof chunk=="string"){for(bufferIndex=chunk.length;chunk.charCodeAt(
+bufferIndex-1)===32;)size2++,bufferIndex--;if(bufferIndex)break;bufferIndex=-1}else if(chunk===-2)tabs=!0,size2++;else if(chunk!==-1){index2++;break}}if(context._contentTypeTextTrailing&&eventIndex===events.length&&(size2=0),size2){const token2={type:eventIndex===events.length||tabs||size2<2?"lineSuffix":"hardBreakTrailing",start:{_bufferIndex:index2?bufferIndex:data.start._bufferIndex+bufferIndex,_index:data.start._index+index2,line:data.end.line,column:data.end.column-size2,offset:data.end.offset-
+size2},end:{...data.end}};data.end={...token2.start},data.start.offset===data.end.offset?Object.assign(data,token2):(events.splice(eventIndex,0,["enter",token2,context],["exit",token2,context]),eventIndex+=2)}eventIndex++}return events}const document$1={42:list$3,43:list$3,45:list$3,48:list$3,49:list$3,50:list$3,51:list$3,52:list$3,53:list$3,54:list$3,55:list$3,56:list$3,57:list$3,62:blockQuote},contentInitial={91:definition$1},flowInitial={[-2]:codeIndented,[-1]:codeIndented,32:codeIndented},flow={
+35:headingAtx,42:thematicBreak$2,45:[setextUnderline,thematicBreak$2],60:htmlFlow,61:setextUnderline,95:thematicBreak$2,96:codeFenced,126:codeFenced},string={38:characterReference,92:characterEscape},text$6={[-5]:lineEnding,[-4]:lineEnding,[-3]:lineEnding,33:labelStartImage,38:characterReference,42:attention,60:[autolink,htmlText],91:labelStartLink,92:[hardBreakEscape,characterEscape],93:labelEnd,95:attention,96:codeText},insideSpan={null:[attention,resolver]},attentionMarkers={null:[42,95]},disable={
+null:[]},defaultConstructs=Object.freeze(Object.defineProperty({__proto__:null,attentionMarkers,contentInitial,disable,document:document$1,flow,flowInitial,insideSpan,string,text:text$6},Symbol.toStringTag,{value:"Module"}));function createTokenizer(parser,initialize2,from){let point2={_bufferIndex:-1,_index:0,line:from&&from.line||1,column:from&&from.column||1,offset:from&&from.offset||0};const columnStart={},resolveAllConstructs=[];let chunks=[],stack=[];const effects={attempt:constructFactory(
+onsuccessfulconstruct),check:constructFactory(onsuccessfulcheck),consume,enter,exit:exit2,interrupt:constructFactory(onsuccessfulcheck,{interrupt:!0})},context={code:null,containerState:{},defineSkip,events:[],now:now2,parser,previous:null,sliceSerialize,sliceStream,write};let state2=initialize2.tokenize.call(context,effects);return initialize2.resolveAll&&resolveAllConstructs.push(initialize2),context;function write(slice){return chunks=push(chunks,slice),main2(),chunks[chunks.length-1]!==null?
+[]:(addResult(initialize2,0),context.events=resolveAll(resolveAllConstructs,context.events,context),context.events)}function sliceSerialize(token2,expandTabs){return serializeChunks(sliceStream(token2),expandTabs)}function sliceStream(token2){return sliceChunks(chunks,token2)}function now2(){const{_bufferIndex,_index,line,column,offset:offset2}=point2;return{_bufferIndex,_index,line,column,offset:offset2}}function defineSkip(value){columnStart[value.line]=value.column,accountForPotentialSkip()}function main2(){
+let chunkIndex;for(;point2._index<chunks.length;){const chunk=chunks[point2._index];if(typeof chunk=="string")for(chunkIndex=point2._index,point2._bufferIndex<0&&(point2._bufferIndex=0);point2._index===chunkIndex&&point2._bufferIndex<chunk.length;)go2(chunk.charCodeAt(point2._bufferIndex));else go2(chunk)}}function go2(code2){state2=state2(code2)}function consume(code2){markdownLineEnding(code2)?(point2.line++,point2.column=1,point2.offset+=code2===-3?2:1,accountForPotentialSkip()):code2!==-1&&(point2.
+column++,point2.offset++),point2._bufferIndex<0?point2._index++:(point2._bufferIndex++,point2._bufferIndex===chunks[point2._index].length&&(point2._bufferIndex=-1,point2._index++)),context.previous=code2}function enter(type2,fields){const token2=fields||{};return token2.type=type2,token2.start=now2(),context.events.push(["enter",token2,context]),stack.push(token2),token2}function exit2(type2){const token2=stack.pop();return token2.end=now2(),context.events.push(["exit",token2,context]),token2}function onsuccessfulconstruct(construct,info2){
+addResult(construct,info2.from)}function onsuccessfulcheck(_,info2){info2.restore()}function constructFactory(onreturn,fields){return hook;function hook(constructs2,returnState,bogusState){let listOfConstructs,constructIndex,currentConstruct,info2;return Array.isArray(constructs2)?handleListOfConstructs(constructs2):"tokenize"in constructs2?handleListOfConstructs([constructs2]):handleMapOfConstructs(constructs2);function handleMapOfConstructs(map2){return start2;function start2(code2){const left=code2!==
+null&&map2[code2],all2=code2!==null&&map2.null,list2=[...Array.isArray(left)?left:left?[left]:[],...Array.isArray(all2)?all2:all2?[all2]:[]];return handleListOfConstructs(list2)(code2)}}function handleListOfConstructs(list2){return listOfConstructs=list2,constructIndex=0,list2.length===0?bogusState:handleConstruct(list2[constructIndex])}function handleConstruct(construct){return start2;function start2(code2){return info2=store(),currentConstruct=construct,construct.partial||(context.currentConstruct=
+construct),construct.name&&context.parser.constructs.disable.null.includes(construct.name)?nok():construct.tokenize.call(fields?Object.assign(Object.create(context),fields):context,effects,ok,nok)(code2)}}function ok(code2){return onreturn(currentConstruct,info2),returnState}function nok(code2){return info2.restore(),++constructIndex<listOfConstructs.length?handleConstruct(listOfConstructs[constructIndex]):bogusState}}}function addResult(construct,from2){construct.resolveAll&&!resolveAllConstructs.
+includes(construct)&&resolveAllConstructs.push(construct),construct.resolve&&splice(context.events,from2,context.events.length-from2,construct.resolve(context.events.slice(from2),context)),construct.resolveTo&&(context.events=construct.resolveTo(context.events,context))}function store(){const startPoint=now2(),startPrevious=context.previous,startCurrentConstruct=context.currentConstruct,startEventsIndex=context.events.length,startStack=Array.from(stack);return{from:startEventsIndex,restore};function restore(){
+point2=startPoint,context.previous=startPrevious,context.currentConstruct=startCurrentConstruct,context.events.length=startEventsIndex,stack=startStack,accountForPotentialSkip()}}function accountForPotentialSkip(){point2.line in columnStart&&point2.column<2&&(point2.column=columnStart[point2.line],point2.offset+=columnStart[point2.line]-1)}}function sliceChunks(chunks,token2){const startIndex=token2.start._index,startBufferIndex=token2.start._bufferIndex,endIndex=token2.end._index,endBufferIndex=token2.
+end._bufferIndex;let view;if(startIndex===endIndex)view=[chunks[startIndex].slice(startBufferIndex,endBufferIndex)];else{if(view=chunks.slice(startIndex,endIndex),startBufferIndex>-1){const head2=view[0];typeof head2=="string"?view[0]=head2.slice(startBufferIndex):view.shift()}endBufferIndex>0&&view.push(chunks[endIndex].slice(0,endBufferIndex))}return view}function serializeChunks(chunks,expandTabs){let index2=-1;const result=[];let atTab;for(;++index2<chunks.length;){const chunk=chunks[index2];
+let value;if(typeof chunk=="string")value=chunk;else switch(chunk){case-5:{value="\r";break}case-4:{value=`
+`;break}case-3:{value=`\r
+`;break}case-2:{value=expandTabs?" ":"	";break}case-1:{if(!expandTabs&&atTab)continue;value=" ";break}default:value=String.fromCharCode(chunk)}atTab=chunk===-2,result.push(value)}return result.join("")}function parse$2(options){const parser={constructs:combineExtensions([defaultConstructs,...(options||{}).extensions||[]]),content:create2(content$1),defined:[],document:create2(document$2),flow:create2(flow$1),lazy:{},string:create2(string$1),text:create2(text$7)};return parser;function create2(initial){
+return creator;function creator(from){return createTokenizer(parser,initial,from)}}}function postprocess(events){for(;!subtokenize(events););return events}const search$1=/[\0\t\n\r]/g;function preprocess(){let column=1,buffer="",start2=!0,atCarriageReturn;return preprocessor;function preprocessor(value,encoding,end){const chunks=[];let match,next2,startPosition,endPosition,code2;for(value=buffer+(typeof value=="string"?value.toString():new TextDecoder(encoding||void 0).decode(value)),startPosition=
+0,buffer="",start2&&(value.charCodeAt(0)===65279&&startPosition++,start2=void 0);startPosition<value.length;){if(search$1.lastIndex=startPosition,match=search$1.exec(value),endPosition=match&&match.index!==void 0?match.index:value.length,code2=value.charCodeAt(endPosition),!match){buffer=value.slice(startPosition);break}if(code2===10&&startPosition===endPosition&&atCarriageReturn)chunks.push(-3),atCarriageReturn=void 0;else switch(atCarriageReturn&&(chunks.push(-5),atCarriageReturn=void 0),startPosition<
+endPosition&&(chunks.push(value.slice(startPosition,endPosition)),column+=endPosition-startPosition),code2){case 0:{chunks.push(65533),column++;break}case 9:{for(next2=Math.ceil(column/4)*4,chunks.push(-2);column++<next2;)chunks.push(-1);break}case 10:{chunks.push(-4),column=1;break}default:atCarriageReturn=!0,column=1}startPosition=endPosition+1}return end&&(atCarriageReturn&&chunks.push(-5),buffer&&chunks.push(buffer),chunks.push(null)),chunks}}const characterEscapeOrReference=/\\([!-/:-@[-`{-~])|&(#(?:\d{1,7}|x[\da-f]{1,6})|[\da-z]{1,31});/gi;
+function decodeString(value){return value.replace(characterEscapeOrReference,decode)}function decode($0,$1,$2){if($1)return $1;if($2.charCodeAt(0)===35){const head3=$2.charCodeAt(1),hex=head3===120||head3===88;return decodeNumericCharacterReference($2.slice(hex?2:1),hex?16:10)}return decodeNamedCharacterReference($2)||$0}function stringifyPosition$1(value){return!value||typeof value!="object"?"":"position"in value||"type"in value?position$2(value.position):"start"in value||"end"in value?position$2(
+value):"line"in value||"column"in value?point$3(value):""}function point$3(point2){return index$1(point2&&point2.line)+":"+index$1(point2&&point2.column)}function position$2(pos){return point$3(pos&&pos.start)+"-"+point$3(pos&&pos.end)}function index$1(value){return value&&typeof value=="number"?value:1}const own$6={}.hasOwnProperty;function fromMarkdown(value,encoding,options){return typeof encoding!="string"&&(options=encoding,encoding=void 0),compiler(options)(postprocess(parse$2(options).document().
+write(preprocess()(value,encoding,!0))))}function compiler(options){const config2={transforms:[],canContainEols:["emphasis","fragment","heading","paragraph","strong"],enter:{autolink:opener(link2),autolinkProtocol:onenterdata,autolinkEmail:onenterdata,atxHeading:opener(heading2),blockQuote:opener(blockQuote2),characterEscape:onenterdata,characterReference:onenterdata,codeFenced:opener(codeFlow),codeFencedFenceInfo:buffer,codeFencedFenceMeta:buffer,codeIndented:opener(codeFlow,buffer),codeText:opener(
+codeText2,buffer),codeTextData:onenterdata,data:onenterdata,codeFlowValue:onenterdata,definition:opener(definition2),definitionDestinationString:buffer,definitionLabelString:buffer,definitionTitleString:buffer,emphasis:opener(emphasis2),hardBreakEscape:opener(hardBreak2),hardBreakTrailing:opener(hardBreak2),htmlFlow:opener(html2,buffer),htmlFlowData:onenterdata,htmlText:opener(html2,buffer),htmlTextData:onenterdata,image:opener(image2),label:buffer,link:opener(link2),listItem:opener(listItem2),listItemValue:onenterlistitemvalue,
+listOrdered:opener(list2,onenterlistordered),listUnordered:opener(list2),paragraph:opener(paragraph2),reference:onenterreference,referenceString:buffer,resourceDestinationString:buffer,resourceTitleString:buffer,setextHeading:opener(heading2),strong:opener(strong2),thematicBreak:opener(thematicBreak2)},exit:{atxHeading:closer(),atxHeadingSequence:onexitatxheadingsequence,autolink:closer(),autolinkEmail:onexitautolinkemail,autolinkProtocol:onexitautolinkprotocol,blockQuote:closer(),characterEscapeValue:onexitdata,
+characterReferenceMarkerHexadecimal:onexitcharacterreferencemarker,characterReferenceMarkerNumeric:onexitcharacterreferencemarker,characterReferenceValue:onexitcharacterreferencevalue,characterReference:onexitcharacterreference,codeFenced:closer(onexitcodefenced),codeFencedFence:onexitcodefencedfence,codeFencedFenceInfo:onexitcodefencedfenceinfo,codeFencedFenceMeta:onexitcodefencedfencemeta,codeFlowValue:onexitdata,codeIndented:closer(onexitcodeindented),codeText:closer(onexitcodetext),codeTextData:onexitdata,
+data:onexitdata,definition:closer(),definitionDestinationString:onexitdefinitiondestinationstring,definitionLabelString:onexitdefinitionlabelstring,definitionTitleString:onexitdefinitiontitlestring,emphasis:closer(),hardBreakEscape:closer(onexithardbreak),hardBreakTrailing:closer(onexithardbreak),htmlFlow:closer(onexithtmlflow),htmlFlowData:onexitdata,htmlText:closer(onexithtmltext),htmlTextData:onexitdata,image:closer(onexitimage),label:onexitlabel,labelText:onexitlabeltext,lineEnding:onexitlineending,
+link:closer(onexitlink),listItem:closer(),listOrdered:closer(),listUnordered:closer(),paragraph:closer(),referenceString:onexitreferencestring,resourceDestinationString:onexitresourcedestinationstring,resourceTitleString:onexitresourcetitlestring,resource:onexitresource,setextHeading:closer(onexitsetextheading),setextHeadingLineSequence:onexitsetextheadinglinesequence,setextHeadingText:onexitsetextheadingtext,strong:closer(),thematicBreak:closer()}};configure$1(config2,(options||{}).mdastExtensions||
+[]);const data={};return compile2;function compile2(events){let tree={type:"root",children:[]};const context={stack:[tree],tokenStack:[],config:config2,enter,exit:exit2,buffer,resume,data},listStack=[];let index2=-1;for(;++index2<events.length;)if(events[index2][1].type==="listOrdered"||events[index2][1].type==="listUnordered")if(events[index2][0]==="enter")listStack.push(index2);else{const tail=listStack.pop();index2=prepareList(events,tail,index2)}for(index2=-1;++index2<events.length;){const handler=config2[events[index2][0]];
+own$6.call(handler,events[index2][1].type)&&handler[events[index2][1].type].call(Object.assign({sliceSerialize:events[index2][2].sliceSerialize},context),events[index2][1])}if(context.tokenStack.length>0){const tail=context.tokenStack[context.tokenStack.length-1];(tail[1]||defaultOnError).call(context,void 0,tail[0])}for(tree.position={start:point$2(events.length>0?events[0][1].start:{line:1,column:1,offset:0}),end:point$2(events.length>0?events[events.length-2][1].end:{line:1,column:1,offset:0})},
+index2=-1;++index2<config2.transforms.length;)tree=config2.transforms[index2](tree)||tree;return tree}function prepareList(events,start2,length){let index2=start2-1,containerBalance=-1,listSpread=!1,listItem3,lineIndex,firstBlankLineIndex,atMarker;for(;++index2<=length;){const event2=events[index2];switch(event2[1].type){case"listUnordered":case"listOrdered":case"blockQuote":{event2[0]==="enter"?containerBalance++:containerBalance--,atMarker=void 0;break}case"lineEndingBlank":{event2[0]==="enter"&&
+(listItem3&&!atMarker&&!containerBalance&&!firstBlankLineIndex&&(firstBlankLineIndex=index2),atMarker=void 0);break}case"linePrefix":case"listItemValue":case"listItemMarker":case"listItemPrefix":case"listItemPrefixWhitespace":break;default:atMarker=void 0}if(!containerBalance&&event2[0]==="enter"&&event2[1].type==="listItemPrefix"||containerBalance===-1&&event2[0]==="exit"&&(event2[1].type==="listUnordered"||event2[1].type==="listOrdered")){if(listItem3){let tailIndex=index2;for(lineIndex=void 0;tailIndex--;){
+const tailEvent=events[tailIndex];if(tailEvent[1].type==="lineEnding"||tailEvent[1].type==="lineEndingBlank"){if(tailEvent[0]==="exit")continue;lineIndex&&(events[lineIndex][1].type="lineEndingBlank",listSpread=!0),tailEvent[1].type="lineEnding",lineIndex=tailIndex}else if(!(tailEvent[1].type==="linePrefix"||tailEvent[1].type==="blockQuotePrefix"||tailEvent[1].type==="blockQuotePrefixWhitespace"||tailEvent[1].type==="blockQuoteMarker"||tailEvent[1].type==="listItemIndent"))break}firstBlankLineIndex&&
+(!lineIndex||firstBlankLineIndex<lineIndex)&&(listItem3._spread=!0),listItem3.end=Object.assign({},lineIndex?events[lineIndex][1].start:event2[1].end),events.splice(lineIndex||index2,0,["exit",listItem3,event2[2]]),index2++,length++}if(event2[1].type==="listItemPrefix"){const item={type:"listItem",_spread:!1,start:Object.assign({},event2[1].start),end:void 0};listItem3=item,events.splice(index2,0,["enter",item,event2[2]]),index2++,length++,firstBlankLineIndex=void 0,atMarker=!0}}}return events[start2][1].
+_spread=listSpread,length}function opener(create2,and){return open2;function open2(token2){enter.call(this,create2(token2),token2),and&&and.call(this,token2)}}function buffer(){this.stack.push({type:"fragment",children:[]})}function enter(node2,token2,errorHandler){this.stack[this.stack.length-1].children.push(node2),this.stack.push(node2),this.tokenStack.push([token2,errorHandler||void 0]),node2.position={start:point$2(token2.start),end:void 0}}function closer(and){return close2;function close2(token2){
+and&&and.call(this,token2),exit2.call(this,token2)}}function exit2(token2,onExitError){const node2=this.stack.pop(),open2=this.tokenStack.pop();if(open2)open2[0].type!==token2.type&&(onExitError?onExitError.call(this,token2,open2[0]):(open2[1]||defaultOnError).call(this,token2,open2[0]));else throw new Error("Cannot close `"+token2.type+"` ("+stringifyPosition$1({start:token2.start,end:token2.end})+"): it’s not open");node2.position.end=point$2(token2.end)}function resume(){return toString$1(this.
+stack.pop())}function onenterlistordered(){this.data.expectingFirstListItemValue=!0}function onenterlistitemvalue(token2){if(this.data.expectingFirstListItemValue){const ancestor=this.stack[this.stack.length-2];ancestor.start=Number.parseInt(this.sliceSerialize(token2),10),this.data.expectingFirstListItemValue=void 0}}function onexitcodefencedfenceinfo(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.lang=data2}function onexitcodefencedfencemeta(){const data2=this.resume(),
+node2=this.stack[this.stack.length-1];node2.meta=data2}function onexitcodefencedfence(){this.data.flowCodeInside||(this.buffer(),this.data.flowCodeInside=!0)}function onexitcodefenced(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2.replace(/^(\r?\n|\r)|(\r?\n|\r)$/g,""),this.data.flowCodeInside=void 0}function onexitcodeindented(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2.replace(/(\r?\n|\r)$/g,"")}function onexitdefinitionlabelstring(token2){
+const label=this.resume(),node2=this.stack[this.stack.length-1];node2.label=label,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase()}function onexitdefinitiontitlestring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.title=data2}function onexitdefinitiondestinationstring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.url=data2}function onexitatxheadingsequence(token2){const node2=this.stack[this.stack.length-1];if(!node2.
+depth){const depth=this.sliceSerialize(token2).length;node2.depth=depth}}function onexitsetextheadingtext(){this.data.setextHeadingSlurpLineEnding=!0}function onexitsetextheadinglinesequence(token2){const node2=this.stack[this.stack.length-1];node2.depth=this.sliceSerialize(token2).codePointAt(0)===61?1:2}function onexitsetextheading(){this.data.setextHeadingSlurpLineEnding=void 0}function onenterdata(token2){const siblings2=this.stack[this.stack.length-1].children;let tail=siblings2[siblings2.length-
+1];(!tail||tail.type!=="text")&&(tail=text2(),tail.position={start:point$2(token2.start),end:void 0},siblings2.push(tail)),this.stack.push(tail)}function onexitdata(token2){const tail=this.stack.pop();tail.value+=this.sliceSerialize(token2),tail.position.end=point$2(token2.end)}function onexitlineending(token2){const context=this.stack[this.stack.length-1];if(this.data.atHardBreak){const tail=context.children[context.children.length-1];tail.position.end=point$2(token2.end),this.data.atHardBreak=
+void 0;return}!this.data.setextHeadingSlurpLineEnding&&config2.canContainEols.includes(context.type)&&(onenterdata.call(this,token2),onexitdata.call(this,token2))}function onexithardbreak(){this.data.atHardBreak=!0}function onexithtmlflow(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2}function onexithtmltext(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.value=data2}function onexitcodetext(){const data2=this.resume(),node2=this.stack[this.
+stack.length-1];node2.value=data2}function onexitlink(){const node2=this.stack[this.stack.length-1];if(this.data.inReference){const referenceType=this.data.referenceType||"shortcut";node2.type+="Reference",node2.referenceType=referenceType,delete node2.url,delete node2.title}else delete node2.identifier,delete node2.label;this.data.referenceType=void 0}function onexitimage(){const node2=this.stack[this.stack.length-1];if(this.data.inReference){const referenceType=this.data.referenceType||"shortc\
+ut";node2.type+="Reference",node2.referenceType=referenceType,delete node2.url,delete node2.title}else delete node2.identifier,delete node2.label;this.data.referenceType=void 0}function onexitlabeltext(token2){const string2=this.sliceSerialize(token2),ancestor=this.stack[this.stack.length-2];ancestor.label=decodeString(string2),ancestor.identifier=normalizeIdentifier(string2).toLowerCase()}function onexitlabel(){const fragment=this.stack[this.stack.length-1],value=this.resume(),node2=this.stack[this.
+stack.length-1];if(this.data.inReference=!0,node2.type==="link"){const children=fragment.children;node2.children=children}else node2.alt=value}function onexitresourcedestinationstring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.url=data2}function onexitresourcetitlestring(){const data2=this.resume(),node2=this.stack[this.stack.length-1];node2.title=data2}function onexitresource(){this.data.inReference=void 0}function onenterreference(){this.data.referenceType="collaps\
+ed"}function onexitreferencestring(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.label=label,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),this.data.referenceType="full"}function onexitcharacterreferencemarker(token2){this.data.characterReferenceType=token2.type}function onexitcharacterreferencevalue(token2){const data2=this.sliceSerialize(token2),type2=this.data.characterReferenceType;let value;type2?(value=decodeNumericCharacterReference(
+data2,type2==="characterReferenceMarkerNumeric"?10:16),this.data.characterReferenceType=void 0):value=decodeNamedCharacterReference(data2);const tail=this.stack[this.stack.length-1];tail.value+=value}function onexitcharacterreference(token2){const tail=this.stack.pop();tail.position.end=point$2(token2.end)}function onexitautolinkprotocol(token2){onexitdata.call(this,token2);const node2=this.stack[this.stack.length-1];node2.url=this.sliceSerialize(token2)}function onexitautolinkemail(token2){onexitdata.
+call(this,token2);const node2=this.stack[this.stack.length-1];node2.url="mailto:"+this.sliceSerialize(token2)}function blockQuote2(){return{type:"blockquote",children:[]}}function codeFlow(){return{type:"code",lang:null,meta:null,value:""}}function codeText2(){return{type:"inlineCode",value:""}}function definition2(){return{type:"definition",identifier:"",label:null,title:null,url:""}}function emphasis2(){return{type:"emphasis",children:[]}}function heading2(){return{type:"heading",depth:0,children:[]}}
+function hardBreak2(){return{type:"break"}}function html2(){return{type:"html",value:""}}function image2(){return{type:"image",title:null,url:"",alt:null}}function link2(){return{type:"link",title:null,url:"",children:[]}}function list2(token2){return{type:"list",ordered:token2.type==="listOrdered",start:null,spread:token2._spread,children:[]}}function listItem2(token2){return{type:"listItem",spread:token2._spread,checked:null,children:[]}}function paragraph2(){return{type:"paragraph",children:[]}}
+function strong2(){return{type:"strong",children:[]}}function text2(){return{type:"text",value:""}}function thematicBreak2(){return{type:"thematicBreak"}}}function point$2(d2){return{line:d2.line,column:d2.column,offset:d2.offset}}function configure$1(combined,extensions){let index2=-1;for(;++index2<extensions.length;){const value=extensions[index2];Array.isArray(value)?configure$1(combined,value):extension(combined,value)}}function extension(combined,extension2){let key2;for(key2 in extension2)
+if(own$6.call(extension2,key2))switch(key2){case"canContainEols":{const right=extension2[key2];right&&combined[key2].push(...right);break}case"transforms":{const right=extension2[key2];right&&combined[key2].push(...right);break}case"enter":case"exit":{const right=extension2[key2];right&&Object.assign(combined[key2],right);break}}}function defaultOnError(left,right){throw left?new Error("Cannot close `"+left.type+"` ("+stringifyPosition$1({start:left.start,end:left.end})+"): a different token (`"+
+right.type+"`, "+stringifyPosition$1({start:right.start,end:right.end})+") is open"):new Error("Cannot close document, a token (`"+right.type+"`, "+stringifyPosition$1({start:right.start,end:right.end})+") is still open")}function remarkParse(options){const self2=this;self2.parser=parser;function parser(doc){return fromMarkdown(doc,{...self2.data("settings"),...options,extensions:self2.data("micromarkExtensions")||[],mdastExtensions:self2.data("fromMarkdownExtensions")||[]})}}const own$5={}.hasOwnProperty;
+function zwitch(key2,options){const settings=options||{};function one2(value,...parameters){let fn=one2.invalid;const handlers2=one2.handlers;if(value&&own$5.call(value,key2)){const id2=String(value[key2]);fn=own$5.call(handlers2,id2)?handlers2[id2]:one2.unknown}if(fn)return fn.call(this,value,...parameters)}return one2.handlers=settings.handlers||{},one2.invalid=settings.invalid,one2.unknown=settings.unknown,one2}const own$4={}.hasOwnProperty;function configure(base2,extension2){let index2=-1,key2;
+if(extension2.extensions)for(;++index2<extension2.extensions.length;)configure(base2,extension2.extensions[index2]);for(key2 in extension2)if(own$4.call(extension2,key2))switch(key2){case"extensions":break;case"unsafe":{list$2(base2[key2],extension2[key2]);break}case"join":{list$2(base2[key2],extension2[key2]);break}case"handlers":{map$2(base2[key2],extension2[key2]);break}default:base2.options[key2]=extension2[key2]}return base2}function list$2(left,right){right&&left.push(...right)}function map$2(left,right){
+right&&Object.assign(left,right)}function blockquote$1(node2,_,state2,info2){const exit2=state2.enter("blockquote"),tracker=state2.createTracker(info2);tracker.move("> "),tracker.shift(2);const value=state2.indentLines(state2.containerFlow(node2,tracker.current()),map$1);return exit2(),value}function map$1(line,_,blank){return">"+(blank?"":" ")+line}function patternInScope(stack,pattern2){return listInScope(stack,pattern2.inConstruct,!0)&&!listInScope(stack,pattern2.notInConstruct,!1)}function listInScope(stack,list2,none){
+if(typeof list2=="string"&&(list2=[list2]),!list2||list2.length===0)return none;let index2=-1;for(;++index2<list2.length;)if(stack.includes(list2[index2]))return!0;return!1}function hardBreak$1(_,_12,state2,info2){let index2=-1;for(;++index2<state2.unsafe.length;)if(state2.unsafe[index2].character===`
+`&&patternInScope(state2.stack,state2.unsafe[index2]))return/[ \t]/.test(info2.before)?"":" ";return`\\
+`}function longestStreak(value,substring){const source2=String(value);let index2=source2.indexOf(substring),expected=index2,count=0,max2=0;if(typeof substring!="string")throw new TypeError("Expected substring");for(;index2!==-1;)index2===expected?++count>max2&&(max2=count):count=1,expected=index2+substring.length,index2=source2.indexOf(substring,expected);return max2}function formatCodeAsIndented(node2,state2){return!!(state2.options.fences===!1&&node2.value&&!node2.lang&&/[^ \r\n]/.test(node2.value)&&
+!/^[\t ]*(?:[\r\n]|$)|(?:^|[\r\n])[\t ]*$/.test(node2.value))}function checkFence(state2){const marker=state2.options.fence||"`";if(marker!=="`"&&marker!=="~")throw new Error("Cannot serialize code with `"+marker+"` for `options.fence`, expected `` ` `` or `~`");return marker}function code$2(node2,_,state2,info2){const marker=checkFence(state2),raw2=node2.value||"",suffix=marker==="`"?"GraveAccent":"Tilde";if(formatCodeAsIndented(node2,state2)){const exit3=state2.enter("codeIndented"),value2=state2.
+indentLines(raw2,map);return exit3(),value2}const tracker=state2.createTracker(info2),sequence=marker.repeat(Math.max(longestStreak(raw2,marker)+1,3)),exit2=state2.enter("codeFenced");let value=tracker.move(sequence);if(node2.lang){const subexit=state2.enter(`codeFencedLang${suffix}`);value+=tracker.move(state2.safe(node2.lang,{before:value,after:" ",encode:["`"],...tracker.current()})),subexit()}if(node2.lang&&node2.meta){const subexit=state2.enter(`codeFencedMeta${suffix}`);value+=tracker.move(
+" "),value+=tracker.move(state2.safe(node2.meta,{before:value,after:`
+`,encode:["`"],...tracker.current()})),subexit()}return value+=tracker.move(`
+`),raw2&&(value+=tracker.move(raw2+`
+`)),value+=tracker.move(sequence),exit2(),value}function map(line,_,blank){return(blank?"":"    ")+line}function checkQuote(state2){const marker=state2.options.quote||'"';if(marker!=='"'&&marker!=="'")throw new Error("Cannot serialize title with `"+marker+"` for `options.quote`, expected `\"`, or `'`");return marker}function definition(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",exit2=state2.enter("definition");let subexit=state2.enter("label");const tracker=state2.
+createTracker(info2);let value=tracker.move("[");return value+=tracker.move(state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()})),value+=tracker.move("]: "),subexit(),!node2.url||/[\0- \u007F]/.test(node2.url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),value+=tracker.move(state2.safe(
+node2.url,{before:value,after:node2.title?" ":`
+`,...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,...tracker.current()})),value+=tracker.move(quote),subexit()),exit2(),value}function checkEmphasis(state2){const marker=state2.options.emphasis||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize emphasis with `"+marker+"` for `options.emphasis`, expected `*`, or `_`");return marker}function encodeCharacterReference(code2){
+return"&#x"+code2.toString(16).toUpperCase()+";"}function encodeInfo(outside,inside,marker){const outsideKind=classifyCharacter(outside),insideKind=classifyCharacter(inside);return outsideKind===void 0?insideKind===void 0?marker==="_"?{inside:!0,outside:!0}:{inside:!1,outside:!1}:insideKind===1?{inside:!0,outside:!0}:{inside:!1,outside:!0}:outsideKind===1?insideKind===void 0?{inside:!1,outside:!1}:insideKind===1?{inside:!0,outside:!0}:{inside:!1,outside:!1}:insideKind===void 0?{inside:!1,outside:!1}:
+insideKind===1?{inside:!0,outside:!1}:{inside:!1,outside:!1}}emphasis$1.peek=emphasisPeek;function emphasis$1(node2,_,state2,info2){const marker=checkEmphasis(state2),exit2=state2.enter("emphasis"),tracker=state2.createTracker(info2),before=tracker.move(marker);let between2=tracker.move(state2.containerPhrasing(node2,{after:marker,before,...tracker.current()}));const betweenHead=between2.charCodeAt(0),open2=encodeInfo(info2.before.charCodeAt(info2.before.length-1),betweenHead,marker);open2.inside&&
+(between2=encodeCharacterReference(betweenHead)+between2.slice(1));const betweenTail=between2.charCodeAt(between2.length-1),close2=encodeInfo(info2.after.charCodeAt(0),betweenTail,marker);close2.inside&&(between2=between2.slice(0,-1)+encodeCharacterReference(betweenTail));const after=tracker.move(marker);return exit2(),state2.attentionEncodeSurroundingInfo={after:close2.outside,before:open2.outside},before+between2+after}function emphasisPeek(_,_12,state2){return state2.options.emphasis||"*"}const convert=(function(test){
+if(test==null)return ok$1;if(typeof test=="function")return castFactory$1(test);if(typeof test=="object")return Array.isArray(test)?anyFactory$1(test):propsFactory(test);if(typeof test=="string")return typeFactory(test);throw new Error("Expected function, string, or object as test")});function anyFactory$1(tests){const checks2=[];let index2=-1;for(;++index2<tests.length;)checks2[index2]=convert(tests[index2]);return castFactory$1(any2);function any2(...parameters){let index3=-1;for(;++index3<checks2.
+length;)if(checks2[index3].apply(this,parameters))return!0;return!1}}function propsFactory(check){const checkAsRecord=check;return castFactory$1(all2);function all2(node2){const nodeAsRecord=node2;let key2;for(key2 in check)if(nodeAsRecord[key2]!==checkAsRecord[key2])return!1;return!0}}function typeFactory(check){return castFactory$1(type2);function type2(node2){return node2&&node2.type===check}}function castFactory$1(testFunction){return check;function check(value,index2,parent){return!!(looksLikeANode(
+value)&&testFunction.call(this,value,typeof index2=="number"?index2:void 0,parent||void 0))}}function ok$1(){return!0}function looksLikeANode(value){return value!==null&&typeof value=="object"&&"type"in value}const empty$1=[],CONTINUE=!0,EXIT=!1,SKIP="skip";function visitParents(tree,test,visitor,reverse){let check;typeof test=="function"&&typeof visitor!="function"?(reverse=visitor,visitor=test):check=test;const is2=convert(check),step=reverse?-1:1;factory(tree,void 0,[])();function factory(node2,index2,parents){const value=node2&&typeof node2=="object"?node2:{};if(typeof value.type=="string"){const name=typeof value.tagName=="string"?value.tagName:typeof value.name=="string"?value.name:void 0;Object.
+defineProperty(visit2,"name",{value:"node ("+(node2.type+(name?"<"+name+">":""))+")"})}return visit2;function visit2(){let result=empty$1,subresult,offset2,grandparents;if((!test||is2(node2,index2,parents[parents.length-1]||void 0))&&(result=toResult(visitor(node2,parents)),result[0]===EXIT))return result;if("children"in node2&&node2.children){const nodeAsParent=node2;if(nodeAsParent.children&&result[0]!==SKIP)for(offset2=(reverse?nodeAsParent.children.length:-1)+step,grandparents=parents.concat(
+nodeAsParent);offset2>-1&&offset2<nodeAsParent.children.length;){const child2=nodeAsParent.children[offset2];if(subresult=factory(child2,offset2,grandparents)(),subresult[0]===EXIT)return subresult;offset2=typeof subresult[1]=="number"?subresult[1]:offset2+step}}return result}}}function toResult(value){return Array.isArray(value)?value:typeof value=="number"?[CONTINUE,value]:value==null?empty$1:[value]}function visit(tree,testOrVisitor,visitorOrReverse,maybeReverse){let reverse,test,visitor;typeof testOrVisitor==
+"function"&&typeof visitorOrReverse!="function"?(test=void 0,visitor=testOrVisitor,reverse=visitorOrReverse):(test=testOrVisitor,visitor=visitorOrReverse,reverse=maybeReverse),visitParents(tree,test,overload,reverse);function overload(node2,parents){const parent=parents[parents.length-1],index2=parent?parent.children.indexOf(node2):void 0;return visitor(node2,index2,parent)}}function formatHeadingAsSetext(node2,state2){let literalWithBreak=!1;return visit(node2,function(node3){if("value"in node3&&
+/\r?\n|\r/.test(node3.value)||node3.type==="break")return literalWithBreak=!0,EXIT}),!!((!node2.depth||node2.depth<3)&&toString$1(node2)&&(state2.options.setext||literalWithBreak))}function heading$1(node2,_,state2,info2){const rank=Math.max(Math.min(6,node2.depth||1),1),tracker=state2.createTracker(info2);if(formatHeadingAsSetext(node2,state2)){const exit3=state2.enter("headingSetext"),subexit2=state2.enter("phrasing"),value2=state2.containerPhrasing(node2,{...tracker.current(),before:`
 `,after:`
-`});return d(),u(),h+`
-`+(a===1?"=":"-").repeat(h.length-(Math.max(h.lastIndexOf("\r"),h.lastIndexOf(`
-`))+1))}const s="#".repeat(a),o=t.enter("headingAtx"),l=t.enter("phrasing");i.move(s+" ");let c=t.containerPhrasing(r,{before:"# ",after:`
-`,...i.current()});return/^[\t ]/.test(c)&&(c=$u(c.charCodeAt(0))+c.slice(1)),c=c?s+" "+c:s,t.options.closeAtx&&(c+=" "+s),l(),o(),c}Lq.peek=Yxe;function Lq(r){return r.value||""}function Yxe(){return"<"}Fq.peek=Wxe;function Fq(r,e,t,n){const a=jx(t),i=a==='"'?"Quote":"Apostrophe",s=t.enter("image");let o=t.enter("label");const l=t.createTracker(n);let c=l.move("![");return c+=l.move(t.safe(r.alt,{before:c,after:"]",...l.current()})),c+=l.move("]("),o(),!r.url&&r.title||/[\0- \u007F]/.test(r.url)?(o=t.enter("destinationLiteral"),c+=l.move("<"),c+=l.move(t.safe(r.url,{before:c,after:">",...l.current()})),c+=l.move(">")):(o=t.enter("destinationRaw"),c+=l.move(t.safe(r.url,{before:c,after:r.title?" ":")",...l.current()}))),o(),r.title&&(o=t.enter(`title${i}`),c+=l.move(" "+a),c+=l.move(t.safe(r.title,{before:c,after:a,...l.current()})),c+=l.move(a),o()),c+=l.move(")"),s(),c}function Wxe(){return"!"}Bq.peek=jxe;function Bq(r,e,t,n){const a=r.referenceType,i=t.enter("imageReference");let s=t.enter("label");const o=t.createTracker(n);let l=o.move("![");const c=t.safe(r.alt,{before:l,after:"]",...o.current()});l+=o.move(c+"]["),s();const u=t.stack;t.stack=[],s=t.enter("reference");const d=t.safe(t.associationId(r),{before:l,after:"]",...o.current()});return s(),t.stack=u,i(),a==="full"||!c||c!==d?l+=o.move(d+"]"):a==="shortcut"?l=l.slice(0,-1):l+=o.move("]"),l}function jxe(){return"!"}Uq.peek=Kxe;function Uq(r,e,t){let n=r.value||"",a="`",i=-1;for(;new RegExp("(^|[^`])"+a+"([^`]|$)").test(n);)a+="`";for(/[^ \r\n]/.test(n)&&(/^[ \r\n]/.test(n)&&/[ \r\n]$/.test(n)||/^`|`$/.test(n))&&(n=" "+n+" ");++i<t.unsafe.length;){const s=t.unsafe[i],o=t.compilePattern(s);let l;if(s.atBreak)for(;l=o.exec(n);){let c=l.index;n.charCodeAt(c)===10&&n.charCodeAt(c-1)===13&&c--,n=n.slice(0,c)+" "+n.slice(l.index+1)}}return a+n+a}function Kxe(){return"`"}function $q(r,e){const t=Vx(r);return!!(!e.options.resourceLink&&r.url&&!r.title&&r.children&&r.children.length===1&&r.children[0].type==="text"&&(t===r.url||"mailto:"+t===r.url)&&/^[a-z][a-z+.-]+:/i.test(r.url)&&!/[\0- <>\u007F]/.test(r.url))}Gq.peek=Xxe;function Gq(r,e,t,n){const a=jx(t),i=a==='"'?"Quote":"Apostrophe",s=t.createTracker(n);let o,l;if($q(r,t)){const u=t.stack;t.stack=[],o=t.enter("autolink");let d=s.move("<");return d+=s.move(t.containerPhrasing(r,{before:d,after:">",...s.current()})),d+=s.move(">"),o(),t.stack=u,d}o=t.enter("link"),l=t.enter("label");let c=s.move("[");return c+=s.move(t.containerPhrasing(r,{before:c,after:"](",...s.current()})),c+=s.move("]("),l(),!r.url&&r.title||/[\0- \u007F]/.test(r.url)?(l=t.enter("destinationLiteral"),c+=s.move("<"),c+=s.move(t.safe(r.url,{before:c,after:">",...s.current()})),c+=s.move(">")):(l=t.enter("destinationRaw"),c+=s.move(t.safe(r.url,{before:c,after:r.title?" ":")",...s.current()}))),l(),r.title&&(l=t.enter(`title${i}`),c+=s.move(" "+a),c+=s.move(t.safe(r.title,{before:c,after:a,...s.current()})),c+=s.move(a),l()),c+=s.move(")"),o(),c}function Xxe(r,e,t){return $q(r,t)?"<":"["}zq.peek=Qxe;function zq(r,e,t,n){const a=r.referenceType,i=t.enter("linkReference");let s=t.enter("label");const o=t.createTracker(n);let l=o.move("[");const c=t.containerPhrasing(r,{before:l,after:"]",...o.current()});l+=o.move(c+"]["),s();const u=t.stack;t.stack=[],s=t.enter("reference");const d=t.safe(t.associationId(r),{before:l,after:"]",...o.current()});return s(),t.stack=u,i(),a==="full"||!c||c!==d?l+=o.move(d+"]"):a==="shortcut"?l=l.slice(0,-1):l+=o.move("]"),l}function Qxe(){return"["}function Kx(r){const e=r.options.bullet||"*";if(e!=="*"&&e!=="+"&&e!=="-")throw new Error("Cannot serialize items with `"+e+"` for `options.bullet`, expected `*`, `+`, or `-`");return e}function Zxe(r){const e=Kx(r),t=r.options.bulletOther;if(!t)return e==="*"?"-":"*";if(t!=="*"&&t!=="+"&&t!=="-")throw new Error("Cannot serialize items with `"+t+"` for `options.bulletOther`, expected `*`, `+`, or `-`");if(t===e)throw new Error("Expected `bullet` (`"+e+"`) and `bulletOther` (`"+t+"`) to be different");return t}function Jxe(r){const e=r.options.bulletOrdered||".";if(e!=="."&&e!==")")throw new Error("Cannot serialize items with `"+e+"` for `options.bulletOrdered`, expected `.` or `)`");return e}function qq(r){const e=r.options.rule||"*";if(e!=="*"&&e!=="-"&&e!=="_")throw new Error("Cannot serialize rules with `"+e+"` for `options.rule`, expected `*`, `-`, or `_`");return e}function e6e(r,e,t,n){const a=t.enter("list"),i=t.bulletCurrent;let s=r.ordered?Jxe(t):Kx(t);const o=r.ordered?s==="."?")":".":Zxe(t);let l=e&&t.bulletLastUsed?s===t.bulletLastUsed:!1;if(!r.ordered){const u=r.children?r.children[0]:void 0;if((s==="*"||s==="-")&&u&&(!u.children||!u.children[0])&&t.stack[t.stack.length-1]==="list"&&t.stack[t.stack.length-2]==="listItem"&&t.stack[t.stack.length-3]==="list"&&t.stack[t.stack.length-4]==="listItem"&&t.indexStack[t.indexStack.length-1]===0&&t.indexStack[t.indexStack.length-2]===0&&t.indexStack[t.indexStack.length-3]===0&&(l=!0),qq(t)===s&&u){let d=-1;for(;++d<r.children.length;){const h=r.children[d];if(h&&h.type==="listItem"&&h.children&&h.children[0]&&h.children[0].type==="thematicBreak"){l=!0;break}}}}l&&(s=o),t.bulletCurrent=s;const c=t.containerFlow(r,n);return t.bulletLastUsed=s,t.bulletCurrent=i,a(),c}function t6e(r){const e=r.options.listItemIndent||"one";if(e!=="tab"&&e!=="one"&&e!=="mixed")throw new Error("Cannot serialize items with `"+e+"` for `options.listItemIndent`, expected `tab`, `one`, or `mixed`");return e}function r6e(r,e,t,n){const a=t6e(t);let i=t.bulletCurrent||Kx(t);e&&e.type==="list"&&e.ordered&&(i=(typeof e.start=="number"&&e.start>-1?e.start:1)+(t.options.incrementListMarker===!1?0:e.children.indexOf(r))+i);let s=i.length+1;(a==="tab"||a==="mixed"&&(e&&e.type==="list"&&e.spread||r.spread))&&(s=Math.ceil(s/4)*4);const o=t.createTracker(n);o.move(i+" ".repeat(s-i.length)),o.shift(s);const l=t.enter("listItem"),c=t.indentLines(t.containerFlow(r,o.current()),u);return l(),c;function u(d,h,p){return h?(p?"":" ".repeat(s))+d:(p?i:i+" ".repeat(s-i.length))+d}}function n6e(r,e,t,n){const a=t.enter("paragraph"),i=t.enter("phrasing"),s=t.containerPhrasing(r,n);return i(),a(),s}const a6e=Og(["break","delete","emphasis","footnote","footnoteReference","image","imageReference","inlineCode","inlineMath","link","linkReference","mdxJsxTextElement","mdxTextExpression","strong","text","textDirective"]);function i6e(r,e,t,n){return(r.children.some(function(s){return a6e(s)})?t.containerPhrasing:t.containerFlow).call(t,r,n)}function s6e(r){const e=r.options.strong||"*";if(e!=="*"&&e!=="_")throw new Error("Cannot serialize strong with `"+e+"` for `options.strong`, expected `*`, or `_`");return e}Hq.peek=o6e;function Hq(r,e,t,n){const a=s6e(t),i=t.enter("strong"),s=t.createTracker(n),o=s.move(a+a);let l=s.move(t.containerPhrasing(r,{after:a,before:o,...s.current()}));const c=l.charCodeAt(0),u=Bb(n.before.charCodeAt(n.before.length-1),c,a);u.inside&&(l=$u(c)+l.slice(1));const d=l.charCodeAt(l.length-1),h=Bb(n.after.charCodeAt(0),d,a);h.inside&&(l=l.slice(0,-1)+$u(d));const p=s.move(a+a);return i(),t.attentionEncodeSurroundingInfo={after:h.outside,before:u.outside},o+l+p}function o6e(r,e,t){return t.options.strong||"*"}function l6e(r,e,t,n){return t.safe(r.value,n)}function c6e(r){const e=r.options.ruleRepetition||3;if(e<3)throw new Error("Cannot serialize rules with repetition `"+e+"` for `options.ruleRepetition`, expected `3` or more");return e}function u6e(r,e,t){const n=(qq(t)+(t.options.ruleSpaces?" ":"")).repeat(c6e(t));return t.options.ruleSpaces?n.slice(0,-1):n}const Xx={blockquote:Nxe,break:fP,code:Mxe,definition:Pxe,emphasis:kq,hardBreak:fP,heading:Vxe,html:Lq,image:Fq,imageReference:Bq,inlineCode:Uq,link:Gq,linkReference:zq,list:e6e,listItem:r6e,paragraph:n6e,root:i6e,strong:Hq,text:l6e,thematicBreak:u6e},d6e=[h6e];function h6e(r,e,t,n){if(e.type==="code"&&SA(e,n)&&(r.type==="list"||r.type===e.type&&SA(r,n)))return!1;if("spread"in t&&typeof t.spread=="boolean")return r.type==="paragraph"&&(r.type===e.type||e.type==="definition"||e.type==="heading"&&Pq(e,n))?void 0:t.spread?1:0}const Td=["autolink","destinationLiteral","destinationRaw","reference","titleQuote","titleApostrophe"],f6e=[{character:"	",after:"[\\r\\n]",inConstruct:"phrasing"},{character:"	",before:"[\\r\\n]",inConstruct:"phrasing"},{character:"	",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde"]},{character:"\r",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:`
-`,inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde","codeFencedMetaGraveAccent","codeFencedMetaTilde","destinationLiteral","headingAtx"]},{character:" ",after:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",before:"[\\r\\n]",inConstruct:"phrasing"},{character:" ",inConstruct:["codeFencedLangGraveAccent","codeFencedLangTilde"]},{character:"!",after:"\\[",inConstruct:"phrasing",notInConstruct:Td},{character:'"',inConstruct:"titleQuote"},{atBreak:!0,character:"#"},{character:"#",inConstruct:"headingAtx",after:`(?:[\r
-]|$)`},{character:"&",after:"[#A-Za-z]",inConstruct:"phrasing"},{character:"'",inConstruct:"titleApostrophe"},{character:"(",inConstruct:"destinationRaw"},{before:"\\]",character:"(",inConstruct:"phrasing",notInConstruct:Td},{atBreak:!0,before:"\\d+",character:")"},{character:")",inConstruct:"destinationRaw"},{atBreak:!0,character:"*",after:`(?:[ 	\r
-*])`},{character:"*",inConstruct:"phrasing",notInConstruct:Td},{atBreak:!0,character:"+",after:`(?:[ 	\r
+`});return subexit2(),exit3(),value2+`
+`+(rank===1?"=":"-").repeat(value2.length-(Math.max(value2.lastIndexOf("\r"),value2.lastIndexOf(`
+`))+1))}const sequence="#".repeat(rank),exit2=state2.enter("headingAtx"),subexit=state2.enter("phrasing");tracker.move(sequence+" ");let value=state2.containerPhrasing(node2,{before:"# ",after:`
+`,...tracker.current()});return/^[\t ]/.test(value)&&(value=encodeCharacterReference(value.charCodeAt(0))+value.slice(1)),value=value?sequence+" "+value:sequence,state2.options.closeAtx&&(value+=" "+sequence),subexit(),exit2(),value}html$5.peek=htmlPeek;function html$5(node2){return node2.value||""}function htmlPeek(){return"<"}image$1.peek=imagePeek;function image$1(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",exit2=state2.enter("image");let subexit=state2.
+enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("![");return value+=tracker.move(state2.safe(node2.alt,{before:value,after:"]",...tracker.current()})),value+=tracker.move("]("),subexit(),!node2.url&&node2.title||/[\0- \u007F]/.test(node2.url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),
+value+=tracker.move(state2.safe(node2.url,{before:value,after:node2.title?" ":")",...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,...tracker.current()})),value+=tracker.move(quote),subexit()),value+=tracker.move(")"),exit2(),value}function imagePeek(){return"!"}imageReference$1.peek=imageReferencePeek;function imageReference$1(node2,_,state2,info2){const type2=node2.
+referenceType,exit2=state2.enter("imageReference");let subexit=state2.enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("![");const alt=state2.safe(node2.alt,{before:value,after:"]",...tracker.current()});value+=tracker.move(alt+"]["),subexit();const stack=state2.stack;state2.stack=[],subexit=state2.enter("reference");const reference=state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()});return subexit(),state2.stack=stack,exit2(),type2===
+"full"||!alt||alt!==reference?value+=tracker.move(reference+"]"):type2==="shortcut"?value=value.slice(0,-1):value+=tracker.move("]"),value}function imageReferencePeek(){return"!"}inlineCode$1.peek=inlineCodePeek;function inlineCode$1(node2,_,state2){let value=node2.value||"",sequence="`",index2=-1;for(;new RegExp("(^|[^`])"+sequence+"([^`]|$)").test(value);)sequence+="`";for(/[^ \r\n]/.test(value)&&(/^[ \r\n]/.test(value)&&/[ \r\n]$/.test(value)||/^`|`$/.test(value))&&(value=" "+value+" ");++index2<
+state2.unsafe.length;){const pattern2=state2.unsafe[index2],expression=state2.compilePattern(pattern2);let match;if(pattern2.atBreak)for(;match=expression.exec(value);){let position2=match.index;value.charCodeAt(position2)===10&&value.charCodeAt(position2-1)===13&&position2--,value=value.slice(0,position2)+" "+value.slice(match.index+1)}}return sequence+value+sequence}function inlineCodePeek(){return"`"}function formatLinkAsAutolink(node2,state2){const raw2=toString$1(node2);return!!(!state2.options.
+resourceLink&&node2.url&&!node2.title&&node2.children&&node2.children.length===1&&node2.children[0].type==="text"&&(raw2===node2.url||"mailto:"+raw2===node2.url)&&/^[a-z][a-z+.-]+:/i.test(node2.url)&&!/[\0- <>\u007F]/.test(node2.url))}link$1.peek=linkPeek;function link$1(node2,_,state2,info2){const quote=checkQuote(state2),suffix=quote==='"'?"Quote":"Apostrophe",tracker=state2.createTracker(info2);let exit2,subexit;if(formatLinkAsAutolink(node2,state2)){const stack=state2.stack;state2.stack=[],exit2=
+state2.enter("autolink");let value2=tracker.move("<");return value2+=tracker.move(state2.containerPhrasing(node2,{before:value2,after:">",...tracker.current()})),value2+=tracker.move(">"),exit2(),state2.stack=stack,value2}exit2=state2.enter("link"),subexit=state2.enter("label");let value=tracker.move("[");return value+=tracker.move(state2.containerPhrasing(node2,{before:value,after:"](",...tracker.current()})),value+=tracker.move("]("),subexit(),!node2.url&&node2.title||/[\0- \u007F]/.test(node2.
+url)?(subexit=state2.enter("destinationLiteral"),value+=tracker.move("<"),value+=tracker.move(state2.safe(node2.url,{before:value,after:">",...tracker.current()})),value+=tracker.move(">")):(subexit=state2.enter("destinationRaw"),value+=tracker.move(state2.safe(node2.url,{before:value,after:node2.title?" ":")",...tracker.current()}))),subexit(),node2.title&&(subexit=state2.enter(`title${suffix}`),value+=tracker.move(" "+quote),value+=tracker.move(state2.safe(node2.title,{before:value,after:quote,
+...tracker.current()})),value+=tracker.move(quote),subexit()),value+=tracker.move(")"),exit2(),value}function linkPeek(node2,_,state2){return formatLinkAsAutolink(node2,state2)?"<":"["}linkReference$1.peek=linkReferencePeek;function linkReference$1(node2,_,state2,info2){const type2=node2.referenceType,exit2=state2.enter("linkReference");let subexit=state2.enter("label");const tracker=state2.createTracker(info2);let value=tracker.move("[");const text2=state2.containerPhrasing(node2,{before:value,
+after:"]",...tracker.current()});value+=tracker.move(text2+"]["),subexit();const stack=state2.stack;state2.stack=[],subexit=state2.enter("reference");const reference=state2.safe(state2.associationId(node2),{before:value,after:"]",...tracker.current()});return subexit(),state2.stack=stack,exit2(),type2==="full"||!text2||text2!==reference?value+=tracker.move(reference+"]"):type2==="shortcut"?value=value.slice(0,-1):value+=tracker.move("]"),value}function linkReferencePeek(){return"["}function checkBullet(state2){
+const marker=state2.options.bullet||"*";if(marker!=="*"&&marker!=="+"&&marker!=="-")throw new Error("Cannot serialize items with `"+marker+"` for `options.bullet`, expected `*`, `+`, or `-`");return marker}function checkBulletOther(state2){const bullet=checkBullet(state2),bulletOther=state2.options.bulletOther;if(!bulletOther)return bullet==="*"?"-":"*";if(bulletOther!=="*"&&bulletOther!=="+"&&bulletOther!=="-")throw new Error("Cannot serialize items with `"+bulletOther+"` for `options.bulletOth\
+er`, expected `*`, `+`, or `-`");if(bulletOther===bullet)throw new Error("Expected `bullet` (`"+bullet+"`) and `bulletOther` (`"+bulletOther+"`) to be different");return bulletOther}function checkBulletOrdered(state2){const marker=state2.options.bulletOrdered||".";if(marker!=="."&&marker!==")")throw new Error("Cannot serialize items with `"+marker+"` for `options.bulletOrdered`, expected `.` or `)`");return marker}function checkRule(state2){const marker=state2.options.rule||"*";if(marker!=="*"&&
+marker!=="-"&&marker!=="_")throw new Error("Cannot serialize rules with `"+marker+"` for `options.rule`, expected `*`, `-`, or `_`");return marker}function list$1(node2,parent,state2,info2){const exit2=state2.enter("list"),bulletCurrent=state2.bulletCurrent;let bullet=node2.ordered?checkBulletOrdered(state2):checkBullet(state2);const bulletOther=node2.ordered?bullet==="."?")":".":checkBulletOther(state2);let useDifferentMarker=parent&&state2.bulletLastUsed?bullet===state2.bulletLastUsed:!1;if(!node2.
+ordered){const firstListItem=node2.children?node2.children[0]:void 0;if((bullet==="*"||bullet==="-")&&firstListItem&&(!firstListItem.children||!firstListItem.children[0])&&state2.stack[state2.stack.length-1]==="list"&&state2.stack[state2.stack.length-2]==="listItem"&&state2.stack[state2.stack.length-3]==="list"&&state2.stack[state2.stack.length-4]==="listItem"&&state2.indexStack[state2.indexStack.length-1]===0&&state2.indexStack[state2.indexStack.length-2]===0&&state2.indexStack[state2.indexStack.
+length-3]===0&&(useDifferentMarker=!0),checkRule(state2)===bullet&&firstListItem){let index2=-1;for(;++index2<node2.children.length;){const item=node2.children[index2];if(item&&item.type==="listItem"&&item.children&&item.children[0]&&item.children[0].type==="thematicBreak"){useDifferentMarker=!0;break}}}}useDifferentMarker&&(bullet=bulletOther),state2.bulletCurrent=bullet;const value=state2.containerFlow(node2,info2);return state2.bulletLastUsed=bullet,state2.bulletCurrent=bulletCurrent,exit2(),
+value}function checkListItemIndent(state2){const style2=state2.options.listItemIndent||"one";if(style2!=="tab"&&style2!=="one"&&style2!=="mixed")throw new Error("Cannot serialize items with `"+style2+"` for `options.listItemIndent`, expected `tab`, `one`, or `mixed`");return style2}function listItem$1(node2,parent,state2,info2){const listItemIndent=checkListItemIndent(state2);let bullet=state2.bulletCurrent||checkBullet(state2);parent&&parent.type==="list"&&parent.ordered&&(bullet=(typeof parent.
+start=="number"&&parent.start>-1?parent.start:1)+(state2.options.incrementListMarker===!1?0:parent.children.indexOf(node2))+bullet);let size2=bullet.length+1;(listItemIndent==="tab"||listItemIndent==="mixed"&&(parent&&parent.type==="list"&&parent.spread||node2.spread))&&(size2=Math.ceil(size2/4)*4);const tracker=state2.createTracker(info2);tracker.move(bullet+" ".repeat(size2-bullet.length)),tracker.shift(size2);const exit2=state2.enter("listItem"),value=state2.indentLines(state2.containerFlow(node2,
+tracker.current()),map2);return exit2(),value;function map2(line,index2,blank){return index2?(blank?"":" ".repeat(size2))+line:(blank?bullet:bullet+" ".repeat(size2-bullet.length))+line}}function paragraph$1(node2,_,state2,info2){const exit2=state2.enter("paragraph"),subexit=state2.enter("phrasing"),value=state2.containerPhrasing(node2,info2);return subexit(),exit2(),value}const phrasing=convert(["break","delete","emphasis","footnote","footnoteReference","image","imageReference","inlineCode","in\
+lineMath","link","linkReference","mdxJsxTextElement","mdxTextExpression","strong","text","textDirective"]);function root$V(node2,_,state2,info2){return(node2.children.some(function(d2){return phrasing(d2)})?state2.containerPhrasing:state2.containerFlow).call(state2,node2,info2)}function checkStrong(state2){const marker=state2.options.strong||"*";if(marker!=="*"&&marker!=="_")throw new Error("Cannot serialize strong with `"+marker+"` for `options.strong`, expected `*`, or `_`");return marker}strong$1.
+peek=strongPeek;function strong$1(node2,_,state2,info2){const marker=checkStrong(state2),exit2=state2.enter("strong"),tracker=state2.createTracker(info2),before=tracker.move(marker+marker);let between2=tracker.move(state2.containerPhrasing(node2,{after:marker,before,...tracker.current()}));const betweenHead=between2.charCodeAt(0),open2=encodeInfo(info2.before.charCodeAt(info2.before.length-1),betweenHead,marker);open2.inside&&(between2=encodeCharacterReference(betweenHead)+between2.slice(1));const betweenTail=between2.
+charCodeAt(between2.length-1),close2=encodeInfo(info2.after.charCodeAt(0),betweenTail,marker);close2.inside&&(between2=between2.slice(0,-1)+encodeCharacterReference(betweenTail));const after=tracker.move(marker+marker);return exit2(),state2.attentionEncodeSurroundingInfo={after:close2.outside,before:open2.outside},before+between2+after}function strongPeek(_,_12,state2){return state2.options.strong||"*"}function text$5(node2,_,state2,info2){return state2.safe(node2.value,info2)}function checkRuleRepetition(state2){
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+]|$)`},{character:"&",after:"[#A-Za-z]",inConstruct:"phrasing"},{character:"'",inConstruct:"titleApostrophe"},{character:"(",inConstruct:"destinationRaw"},{before:"\\]",character:"(",inConstruct:"phrasing",notInConstruct:fullPhrasingSpans},{atBreak:!0,before:"\\d+",character:")"},{character:")",inConstruct:"destinationRaw"},{atBreak:!0,character:"*",after:`(?:[ 	\r
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+start2?start2.line:void 0,this.name=stringifyPosition(options.place)||"1:1",this.place=options.place||void 0,this.reason=this.message,this.ruleId=options.ruleId||void 0,this.source=options.source||void 0,this.stack=legacyCause&&options.cause&&typeof options.cause.stack=="string"?options.cause.stack:"",this.actual,this.expected,this.note,this.url}}VFileMessage.prototype.file="";VFileMessage.prototype.name="";VFileMessage.prototype.reason="";VFileMessage.prototype.message="";VFileMessage.prototype.
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+0&&(seenNonSlash=!0,firstNonSlashEnd=index2+1),extnameIndex>-1&&(path2.codePointAt(index2)===extname2.codePointAt(extnameIndex--)?extnameIndex<0&&(end=index2):(extnameIndex=-1,end=firstNonSlashEnd));return start2===end?end=firstNonSlashEnd:end<0&&(end=path2.length),path2.slice(start2,end)}function dirname(path2){if(assertPath$1(path2),path2.length===0)return".";let end=-1,index2=path2.length,unmatchedSlash;for(;--index2;)if(path2.codePointAt(index2)===47){if(unmatchedSlash){end=index2;break}}else
+unmatchedSlash||(unmatchedSlash=!0);return end<0?path2.codePointAt(0)===47?"/":".":end===1&&path2.codePointAt(0)===47?"//":path2.slice(0,end)}function extname(path2){assertPath$1(path2);let index2=path2.length,end=-1,startPart=0,startDot=-1,preDotState=0,unmatchedSlash;for(;index2--;){const code2=path2.codePointAt(index2);if(code2===47){if(unmatchedSlash){startPart=index2+1;break}continue}end<0&&(unmatchedSlash=!0,end=index2+1),code2===46?startDot<0?startDot=index2:preDotState!==1&&(preDotState=
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+path2,!absolute);return value.length===0&&!absolute&&(value="."),value.length>0&&path2.codePointAt(path2.length-1)===47&&(value+="/"),absolute?"/"+value:value}function normalizeString(path2,allowAboveRoot){let result="",lastSegmentLength=0,lastSlash=-1,dots=0,index2=-1,code2,lastSlashIndex;for(;++index2<=path2.length;){if(index2<path2.length)code2=path2.codePointAt(index2);else{if(code2===47)break;code2=47}if(code2===47){if(!(lastSlash===index2-1||dots===1))if(lastSlash!==index2-1&&dots===2){if(result.
+length<2||lastSegmentLength!==2||result.codePointAt(result.length-1)!==46||result.codePointAt(result.length-2)!==46){if(result.length>2){if(lastSlashIndex=result.lastIndexOf("/"),lastSlashIndex!==result.length-1){lastSlashIndex<0?(result="",lastSegmentLength=0):(result=result.slice(0,lastSlashIndex),lastSegmentLength=result.length-1-result.lastIndexOf("/")),lastSlash=index2,dots=0;continue}}else if(result.length>0){result="",lastSegmentLength=0,lastSlash=index2,dots=0;continue}}allowAboveRoot&&(result=
+result.length>0?result+"/..":"..",lastSegmentLength=2)}else result.length>0?result+="/"+path2.slice(lastSlash+1,index2):result=path2.slice(lastSlash+1,index2),lastSegmentLength=index2-lastSlash-1;lastSlash=index2,dots=0}else code2===46&&dots>-1?dots++:dots=-1}return result}function assertPath$1(path2){if(typeof path2!="string")throw new TypeError("Path must be a string. Received "+JSON.stringify(path2))}const minproc={cwd};function cwd(){return"/"}function isUrl(fileUrlOrPath){return!!(fileUrlOrPath!==
+null&&typeof fileUrlOrPath=="object"&&"href"in fileUrlOrPath&&fileUrlOrPath.href&&"protocol"in fileUrlOrPath&&fileUrlOrPath.protocol&&fileUrlOrPath.auth===void 0)}function urlToPath(path2){if(typeof path2=="string")path2=new URL(path2);else if(!isUrl(path2)){const error2=new TypeError('The "path" argument must be of type string or an instance of URL. Received `'+path2+"`");throw error2.code="ERR_INVALID_ARG_TYPE",error2}if(path2.protocol!=="file:"){const error2=new TypeError("The URL must be of \
+scheme file");throw error2.code="ERR_INVALID_URL_SCHEME",error2}return getPathFromURLPosix(path2)}function getPathFromURLPosix(url2){if(url2.hostname!==""){const error2=new TypeError('File URL host must be "localhost" or empty on darwin');throw error2.code="ERR_INVALID_FILE_URL_HOST",error2}const pathname=url2.pathname;let index2=-1;for(;++index2<pathname.length;)if(pathname.codePointAt(index2)===37&&pathname.codePointAt(index2+1)===50){const third=pathname.codePointAt(index2+2);if(third===70||third===
+102){const error2=new TypeError("File URL path must not include encoded / characters");throw error2.code="ERR_INVALID_FILE_URL_PATH",error2}}return decodeURIComponent(pathname)}const order=["history","path","basename","stem","extname","dirname"];class VFile{constructor(value){let options;value?isUrl(value)?options={path:value}:typeof value=="string"||isUint8Array$1(value)?options={value}:options=value:options={},this.cwd="cwd"in options?"":minproc.cwd(),this.data={},this.history=[],this.messages=
+[],this.value,this.map,this.result,this.stored;let index2=-1;for(;++index2<order.length;){const field2=order[index2];field2 in options&&options[field2]!==void 0&&options[field2]!==null&&(this[field2]=field2==="history"?[...options[field2]]:options[field2])}let field;for(field in options)order.includes(field)||(this[field]=options[field])}get basename(){return typeof this.path=="string"?minpath.basename(this.path):void 0}set basename(basename2){assertNonEmpty(basename2,"basename"),assertPart(basename2,
+"basename"),this.path=minpath.join(this.dirname||"",basename2)}get dirname(){return typeof this.path=="string"?minpath.dirname(this.path):void 0}set dirname(dirname2){assertPath(this.basename,"dirname"),this.path=minpath.join(dirname2||"",this.basename)}get extname(){return typeof this.path=="string"?minpath.extname(this.path):void 0}set extname(extname2){if(assertPart(extname2,"extname"),assertPath(this.dirname,"extname"),extname2){if(extname2.codePointAt(0)!==46)throw new Error("`extname` must\
+ start with `.`");if(extname2.includes(".",1))throw new Error("`extname` cannot contain multiple dots")}this.path=minpath.join(this.dirname,this.stem+(extname2||""))}get path(){return this.history[this.history.length-1]}set path(path2){isUrl(path2)&&(path2=urlToPath(path2)),assertNonEmpty(path2,"path"),this.path!==path2&&this.history.push(path2)}get stem(){return typeof this.path=="string"?minpath.basename(this.path,this.extname):void 0}set stem(stem){assertNonEmpty(stem,"stem"),assertPart(stem,
+"stem"),this.path=minpath.join(this.dirname||"",stem+(this.extname||""))}fail(causeOrReason,optionsOrParentOrPlace,origin2){const message=this.message(causeOrReason,optionsOrParentOrPlace,origin2);throw message.fatal=!0,message}info(causeOrReason,optionsOrParentOrPlace,origin2){const message=this.message(causeOrReason,optionsOrParentOrPlace,origin2);return message.fatal=void 0,message}message(causeOrReason,optionsOrParentOrPlace,origin2){const message=new VFileMessage(causeOrReason,optionsOrParentOrPlace,
+origin2);return this.path&&(message.name=this.path+":"+message.name,message.file=this.path),message.fatal=!1,this.messages.push(message),message}toString(encoding){return this.value===void 0?"":typeof this.value=="string"?this.value:new TextDecoder(encoding||void 0).decode(this.value)}}function assertPart(part,name){if(part&&part.includes(minpath.sep))throw new Error("`"+name+"` cannot be a path: did not expect `"+minpath.sep+"`")}function assertNonEmpty(part,name){if(!part)throw new Error("`"+name+
+"` cannot be empty")}function assertPath(path2,name){if(!path2)throw new Error("Setting `"+name+"` requires `path` to be set too")}function isUint8Array$1(value){return!!(value&&typeof value=="object"&&"byteLength"in value&&"byteOffset"in value)}const CallableInstance=(function(property){const proto=this.constructor.prototype,value=proto[property],apply=function(){return value.apply(apply,arguments)};return Object.setPrototypeOf(apply,proto),apply}),own$3={}.hasOwnProperty;class Processor extends CallableInstance{constructor(){
+super("copy"),this.Compiler=void 0,this.Parser=void 0,this.attachers=[],this.compiler=void 0,this.freezeIndex=-1,this.frozen=void 0,this.namespace={},this.parser=void 0,this.transformers=trough()}copy(){const destination=new Processor;let index2=-1;for(;++index2<this.attachers.length;){const attacher=this.attachers[index2];destination.use(...attacher)}return destination.data(extend(!0,{},this.namespace)),destination}data(key2,value){return typeof key2=="string"?arguments.length===2?(assertUnfrozen(
+"data",this.frozen),this.namespace[key2]=value,this):own$3.call(this.namespace,key2)&&this.namespace[key2]||void 0:key2?(assertUnfrozen("data",this.frozen),this.namespace=key2,this):this.namespace}freeze(){if(this.frozen)return this;const self2=this;for(;++this.freezeIndex<this.attachers.length;){const[attacher,...options]=this.attachers[this.freezeIndex];if(options[0]===!1)continue;options[0]===!0&&(options[0]=void 0);const transformer=attacher.call(self2,...options);typeof transformer=="functi\
+on"&&this.transformers.use(transformer)}return this.frozen=!0,this.freezeIndex=Number.POSITIVE_INFINITY,this}parse(file){this.freeze();const realFile=vfile(file),parser=this.parser||this.Parser;return assertParser("parse",parser),parser(String(realFile),realFile)}process(file,done){const self2=this;return this.freeze(),assertParser("process",this.parser||this.Parser),assertCompiler("process",this.compiler||this.Compiler),done?executor(void 0,done):new Promise(executor);function executor(resolve2,reject){
+const realFile=vfile(file),parseTree3=self2.parse(realFile);self2.run(parseTree3,realFile,function(error2,tree,file2){if(error2||!tree||!file2)return realDone(error2);const compileTree=tree,compileResult=self2.stringify(compileTree,file2);looksLikeAValue(compileResult)?file2.value=compileResult:file2.result=compileResult,realDone(error2,file2)});function realDone(error2,file2){error2||!file2?reject(error2):resolve2?resolve2(file2):done(void 0,file2)}}}processSync(file){let complete=!1,result;return this.
+freeze(),assertParser("processSync",this.parser||this.Parser),assertCompiler("processSync",this.compiler||this.Compiler),this.process(file,realDone),assertDone("processSync","process",complete),result;function realDone(error2,file2){complete=!0,bail(error2),result=file2}}run(tree,file,done){assertNode(tree),this.freeze();const transformers=this.transformers;return!done&&typeof file=="function"&&(done=file,file=void 0),done?executor(void 0,done):new Promise(executor);function executor(resolve2,reject){
+const realFile=vfile(file);transformers.run(tree,realFile,realDone);function realDone(error2,outputTree,file2){const resultingTree=outputTree||tree;error2?reject(error2):resolve2?resolve2(resultingTree):done(void 0,resultingTree,file2)}}}runSync(tree,file){let complete=!1,result;return this.run(tree,file,realDone),assertDone("runSync","run",complete),result;function realDone(error2,tree2){bail(error2),result=tree2,complete=!0}}stringify(tree,file){this.freeze();const realFile=vfile(file),compiler2=this.
+compiler||this.Compiler;return assertCompiler("stringify",compiler2),assertNode(tree),compiler2(tree,realFile)}use(value,...parameters){const attachers=this.attachers,namespace=this.namespace;if(assertUnfrozen("use",this.frozen),value!=null)if(typeof value=="function")addPlugin(value,parameters);else if(typeof value=="object")Array.isArray(value)?addList(value):addPreset(value);else throw new TypeError("Expected usable value, not `"+value+"`");return this;function add2(value2){if(typeof value2==
+"function")addPlugin(value2,[]);else if(typeof value2=="object")if(Array.isArray(value2)){const[plugin,...parameters2]=value2;addPlugin(plugin,parameters2)}else addPreset(value2);else throw new TypeError("Expected usable value, not `"+value2+"`")}function addPreset(result){if(!("plugins"in result)&&!("settings"in result))throw new Error("Expected usable value but received an empty preset, which is probably a mistake: presets typically come with `plugins` and sometimes with `settings`, but this h\
+as neither");addList(result.plugins),result.settings&&(namespace.settings=extend(!0,namespace.settings,result.settings))}function addList(plugins){let index2=-1;if(plugins!=null)if(Array.isArray(plugins))for(;++index2<plugins.length;){const thing=plugins[index2];add2(thing)}else throw new TypeError("Expected a list of plugins, not `"+plugins+"`")}function addPlugin(plugin,parameters2){let index2=-1,entryIndex=-1;for(;++index2<attachers.length;)if(attachers[index2][0]===plugin){entryIndex=index2;
+break}if(entryIndex===-1)attachers.push([plugin,...parameters2]);else if(parameters2.length>0){let[primary,...rest]=parameters2;const currentPrimary=attachers[entryIndex][1];isPlainObject(currentPrimary)&&isPlainObject(primary)&&(primary=extend(!0,currentPrimary,primary)),attachers[entryIndex]=[plugin,primary,...rest]}}}}const unified=new Processor().freeze();function assertParser(name,value){if(typeof value!="function")throw new TypeError("Cannot `"+name+"` without `parser`")}function assertCompiler(name,value){
+if(typeof value!="function")throw new TypeError("Cannot `"+name+"` without `compiler`")}function assertUnfrozen(name,frozen){if(frozen)throw new Error("Cannot call `"+name+"` on a frozen processor.\nCreate a new processor first, by calling it: use `processor()` instead of `processor`.")}function assertNode(node2){if(!isPlainObject(node2)||typeof node2.type!="string")throw new TypeError("Expected node, got `"+node2+"`")}function assertDone(name,asyncName,complete){if(!complete)throw new Error("`"+
+name+"` finished async. Use `"+asyncName+"` instead")}function vfile(value){return looksLikeAVFile(value)?value:new VFile(value)}function looksLikeAVFile(value){return!!(value&&typeof value=="object"&&"message"in value&&"messages"in value)}function looksLikeAValue(value){return typeof value=="string"||isUint8Array(value)}function isUint8Array(value){return!!(value&&typeof value=="object"&&"byteLength"in value&&"byteOffset"in value)}const remark=unified().use(remarkParse).use(remarkStringify).freeze();
+function escapeStringRegexp(string2){if(typeof string2!="string")throw new TypeError("Expected a string");return string2.replace(/[|\\{}()[\]^$+*?.]/g,"\\$&").replace(/-/g,"\\x2d")}function findAndReplace(tree,list2,options){const ignored=convert((options||{}).ignore||[]),pairs=toPairs(list2);let pairIndex=-1;for(;++pairIndex<pairs.length;)visitParents(tree,"text",visitor);function visitor(node2,parents){let index2=-1,grandparent;for(;++index2<parents.length;){const parent=parents[index2],siblings2=grandparent?
+grandparent.children:void 0;if(ignored(parent,siblings2?siblings2.indexOf(parent):void 0,grandparent))return;grandparent=parent}if(grandparent)return handler(node2,parents)}function handler(node2,parents){const parent=parents[parents.length-1],find2=pairs[pairIndex][0],replace2=pairs[pairIndex][1];let start2=0;const index2=parent.children.indexOf(node2);let change=!1,nodes2=[];find2.lastIndex=0;let match=find2.exec(node2.value);for(;match;){const position2=match.index,matchObject={index:match.index,
+input:match.input,stack:[...parents,node2]};let value=replace2(...match,matchObject);if(typeof value=="string"&&(value=value.length>0?{type:"text",value}:void 0),value===!1?find2.lastIndex=position2+1:(start2!==position2&&nodes2.push({type:"text",value:node2.value.slice(start2,position2)}),Array.isArray(value)?nodes2.push(...value):value&&nodes2.push(value),start2=position2+match[0].length,change=!0),!find2.global)break;match=find2.exec(node2.value)}return change?(start2<node2.value.length&&nodes2.
+push({type:"text",value:node2.value.slice(start2)}),parent.children.splice(index2,1,...nodes2)):nodes2=[node2],index2+nodes2.length}}function toPairs(tupleOrList){const result=[];if(!Array.isArray(tupleOrList))throw new TypeError("Expected find and replace tuple or list of tuples");const list2=!tupleOrList[0]||Array.isArray(tupleOrList[0])?tupleOrList:[tupleOrList];let index2=-1;for(;++index2<list2.length;){const tuple=list2[index2];result.push([toExpression(tuple[0]),toFunction(tuple[1])])}return result}
+function toExpression(find2){return typeof find2=="string"?new RegExp(escapeStringRegexp(find2),"g"):find2}function toFunction(replace2){return typeof replace2=="function"?replace2:function(){return replace2}}function newlineToBreak(tree){findAndReplace(tree,[/\r?\n|\r/g,replace$1])}function replace$1(){return{type:"break"}}function remarkBreaks(){return function(tree){newlineToBreak(tree)}}function ccount(value,character){const source2=String(value);if(typeof character!="string")throw new TypeError(
+"Expected character");let count=0,index2=source2.indexOf(character);for(;index2!==-1;)count++,index2=source2.indexOf(character,index2+character.length);return count}const inConstruct="phrasing",notInConstruct=["autolink","link","image","label"];function gfmAutolinkLiteralFromMarkdown(){return{transforms:[transformGfmAutolinkLiterals],enter:{literalAutolink:enterLiteralAutolink,literalAutolinkEmail:enterLiteralAutolinkValue,literalAutolinkHttp:enterLiteralAutolinkValue,literalAutolinkWww:enterLiteralAutolinkValue},
+exit:{literalAutolink:exitLiteralAutolink,literalAutolinkEmail:exitLiteralAutolinkEmail,literalAutolinkHttp:exitLiteralAutolinkHttp,literalAutolinkWww:exitLiteralAutolinkWww}}}function gfmAutolinkLiteralToMarkdown(){return{unsafe:[{character:"@",before:"[+\\-.\\w]",after:"[\\-.\\w]",inConstruct,notInConstruct},{character:".",before:"[Ww]",after:"[\\-.\\w]",inConstruct,notInConstruct},{character:":",before:"[ps]",after:"\\/",inConstruct,notInConstruct}]}}function enterLiteralAutolink(token2){this.
+enter({type:"link",title:null,url:"",children:[]},token2)}function enterLiteralAutolinkValue(token2){this.config.enter.autolinkProtocol.call(this,token2)}function exitLiteralAutolinkHttp(token2){this.config.exit.autolinkProtocol.call(this,token2)}function exitLiteralAutolinkWww(token2){this.config.exit.data.call(this,token2);const node2=this.stack[this.stack.length-1];node2.type,node2.url="http://"+this.sliceSerialize(token2)}function exitLiteralAutolinkEmail(token2){this.config.exit.autolinkEmail.
+call(this,token2)}function exitLiteralAutolink(token2){this.exit(token2)}function transformGfmAutolinkLiterals(tree){findAndReplace(tree,[[/(https?:\/\/|www(?=\.))([-.\w]+)([^ \t\r\n]*)/gi,findUrl],[new RegExp("(?<=^|\\s|\\p{P}|\\p{S})([-.\\w+]+)@([-\\w]+(?:\\.[-\\w]+)+)","gu"),findEmail]],{ignore:["link","linkReference"]})}function findUrl(_,protocol,domain2,path2,match){let prefix="";if(!previous$1(match)||(/^w/i.test(protocol)&&(domain2=protocol+domain2,protocol="",prefix="http://"),!isCorrectDomain(
+domain2)))return!1;const parts=splitUrl(domain2+path2);if(!parts[0])return!1;const result={type:"link",title:null,url:prefix+protocol+parts[0],children:[{type:"text",value:protocol+parts[0]}]};return parts[1]?[result,{type:"text",value:parts[1]}]:result}function findEmail(_,atext,label,match){return!previous$1(match,!0)||/[-\d_]$/.test(label)?!1:{type:"link",title:null,url:"mailto:"+atext+"@"+label,children:[{type:"text",value:atext+"@"+label}]}}function isCorrectDomain(domain2){const parts=domain2.
+split(".");return!(parts.length<2||parts[parts.length-1]&&(/_/.test(parts[parts.length-1])||!/[a-zA-Z\d]/.test(parts[parts.length-1]))||parts[parts.length-2]&&(/_/.test(parts[parts.length-2])||!/[a-zA-Z\d]/.test(parts[parts.length-2])))}function splitUrl(url2){const trailExec=/[!"&'),.:;<>?\]}]+$/.exec(url2);if(!trailExec)return[url2,void 0];url2=url2.slice(0,trailExec.index);let trail2=trailExec[0],closingParenIndex=trail2.indexOf(")");const openingParens=ccount(url2,"(");let closingParens=ccount(
+url2,")");for(;closingParenIndex!==-1&&openingParens>closingParens;)url2+=trail2.slice(0,closingParenIndex+1),trail2=trail2.slice(closingParenIndex+1),closingParenIndex=trail2.indexOf(")"),closingParens++;return[url2,trail2]}function previous$1(match,email2){const code2=match.input.charCodeAt(match.index-1);return(match.index===0||unicodeWhitespace(code2)||unicodePunctuation(code2))&&(!email2||code2!==47)}footnoteReference$1.peek=footnoteReferencePeek;function enterFootnoteCallString(){this.buffer()}
+function enterFootnoteCall(token2){this.enter({type:"footnoteReference",identifier:"",label:""},token2)}function enterFootnoteDefinitionLabelString(){this.buffer()}function enterFootnoteDefinition(token2){this.enter({type:"footnoteDefinition",identifier:"",label:"",children:[]},token2)}function exitFootnoteCallString(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),node2.label=label}
+function exitFootnoteCall(token2){this.exit(token2)}function exitFootnoteDefinitionLabelString(token2){const label=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.identifier=normalizeIdentifier(this.sliceSerialize(token2)).toLowerCase(),node2.label=label}function exitFootnoteDefinition(token2){this.exit(token2)}function footnoteReferencePeek(){return"["}function footnoteReference$1(node2,_,state2,info2){const tracker=state2.createTracker(info2);let value=tracker.move("[^");const exit2=state2.
+enter("footnoteReference"),subexit=state2.enter("reference");return value+=tracker.move(state2.safe(state2.associationId(node2),{after:"]",before:value})),subexit(),exit2(),value+=tracker.move("]"),value}function gfmFootnoteFromMarkdown(){return{enter:{gfmFootnoteCallString:enterFootnoteCallString,gfmFootnoteCall:enterFootnoteCall,gfmFootnoteDefinitionLabelString:enterFootnoteDefinitionLabelString,gfmFootnoteDefinition:enterFootnoteDefinition},exit:{gfmFootnoteCallString:exitFootnoteCallString,gfmFootnoteCall:exitFootnoteCall,
+gfmFootnoteDefinitionLabelString:exitFootnoteDefinitionLabelString,gfmFootnoteDefinition:exitFootnoteDefinition}}}function gfmFootnoteToMarkdown(options){let firstLineBlank=!1;return options&&options.firstLineBlank&&(firstLineBlank=!0),{handlers:{footnoteDefinition,footnoteReference:footnoteReference$1},unsafe:[{character:"[",inConstruct:["label","phrasing","reference"]}]};function footnoteDefinition(node2,_,state2,info2){const tracker=state2.createTracker(info2);let value=tracker.move("[^");const exit2=state2.
+enter("footnoteDefinition"),subexit=state2.enter("label");return value+=tracker.move(state2.safe(state2.associationId(node2),{before:value,after:"]"})),subexit(),value+=tracker.move("]:"),node2.children&&node2.children.length>0&&(tracker.shift(4),value+=tracker.move((firstLineBlank?`
+`:" ")+state2.indentLines(state2.containerFlow(node2,tracker.current()),firstLineBlank?mapAll:mapExceptFirst))),exit2(),value}}function mapExceptFirst(line,index2,blank){return index2===0?line:mapAll(line,index2,blank)}function mapAll(line,index2,blank){return(blank?"":"    ")+line}const constructsWithoutStrikethrough=["autolink","destinationLiteral","destinationRaw","reference","titleQuote","titleApostrophe"];handleDelete.peek=peekDelete;function gfmStrikethroughFromMarkdown(){return{canContainEols:[
+"delete"],enter:{strikethrough:enterStrikethrough},exit:{strikethrough:exitStrikethrough}}}function gfmStrikethroughToMarkdown(){return{unsafe:[{character:"~",inConstruct:"phrasing",notInConstruct:constructsWithoutStrikethrough}],handlers:{delete:handleDelete}}}function enterStrikethrough(token2){this.enter({type:"delete",children:[]},token2)}function exitStrikethrough(token2){this.exit(token2)}function handleDelete(node2,_,state2,info2){const tracker=state2.createTracker(info2),exit2=state2.enter(
+"strikethrough");let value=tracker.move("~~");return value+=state2.containerPhrasing(node2,{...tracker.current(),before:value,after:"~"}),value+=tracker.move("~~"),exit2(),value}function peekDelete(){return"~"}function defaultStringLength(value){return value.length}function markdownTable(table2,options){const settings=options||{},align=(settings.align||[]).concat(),stringLength=settings.stringLength||defaultStringLength,alignments=[],cellMatrix=[],sizeMatrix=[],longestCellByColumn=[];let mostCellsPerRow=0,
+rowIndex=-1;for(;++rowIndex<table2.length;){const row3=[],sizes2=[];let columnIndex2=-1;for(table2[rowIndex].length>mostCellsPerRow&&(mostCellsPerRow=table2[rowIndex].length);++columnIndex2<table2[rowIndex].length;){const cell2=serialize$1(table2[rowIndex][columnIndex2]);if(settings.alignDelimiters!==!1){const size2=stringLength(cell2);sizes2[columnIndex2]=size2,(longestCellByColumn[columnIndex2]===void 0||size2>longestCellByColumn[columnIndex2])&&(longestCellByColumn[columnIndex2]=size2)}row3.push(
+cell2)}cellMatrix[rowIndex]=row3,sizeMatrix[rowIndex]=sizes2}let columnIndex=-1;if(typeof align=="object"&&"length"in align)for(;++columnIndex<mostCellsPerRow;)alignments[columnIndex]=toAlignment(align[columnIndex]);else{const code2=toAlignment(align);for(;++columnIndex<mostCellsPerRow;)alignments[columnIndex]=code2}columnIndex=-1;const row2=[],sizes=[];for(;++columnIndex<mostCellsPerRow;){const code2=alignments[columnIndex];let before="",after="";code2===99?(before=":",after=":"):code2===108?before=
+":":code2===114&&(after=":");let size2=settings.alignDelimiters===!1?1:Math.max(1,longestCellByColumn[columnIndex]-before.length-after.length);const cell2=before+"-".repeat(size2)+after;settings.alignDelimiters!==!1&&(size2=before.length+size2+after.length,size2>longestCellByColumn[columnIndex]&&(longestCellByColumn[columnIndex]=size2),sizes[columnIndex]=size2),row2[columnIndex]=cell2}cellMatrix.splice(1,0,row2),sizeMatrix.splice(1,0,sizes),rowIndex=-1;const lines=[];for(;++rowIndex<cellMatrix.length;){
+const row3=cellMatrix[rowIndex],sizes2=sizeMatrix[rowIndex];columnIndex=-1;const line=[];for(;++columnIndex<mostCellsPerRow;){const cell2=row3[columnIndex]||"";let before="",after="";if(settings.alignDelimiters!==!1){const size2=longestCellByColumn[columnIndex]-(sizes2[columnIndex]||0),code2=alignments[columnIndex];code2===114?before=" ".repeat(size2):code2===99?size2%2?(before=" ".repeat(size2/2+.5),after=" ".repeat(size2/2-.5)):(before=" ".repeat(size2/2),after=before):after=" ".repeat(size2)}
+settings.delimiterStart!==!1&&!columnIndex&&line.push("|"),settings.padding!==!1&&!(settings.alignDelimiters===!1&&cell2==="")&&(settings.delimiterStart!==!1||columnIndex)&&line.push(" "),settings.alignDelimiters!==!1&&line.push(before),line.push(cell2),settings.alignDelimiters!==!1&&line.push(after),settings.padding!==!1&&line.push(" "),(settings.delimiterEnd!==!1||columnIndex!==mostCellsPerRow-1)&&line.push("|")}lines.push(settings.delimiterEnd===!1?line.join("").replace(/ +$/,""):line.join(""))}
+return lines.join(`
+`)}function serialize$1(value){return value==null?"":String(value)}function toAlignment(value){const code2=typeof value=="string"?value.codePointAt(0):0;return code2===67||code2===99?99:code2===76||code2===108?108:code2===82||code2===114?114:0}function gfmTableFromMarkdown(){return{enter:{table:enterTable,tableData:enterCell,tableHeader:enterCell,tableRow:enterRow},exit:{codeText:exitCodeText,table:exitTable,tableData:exit,tableHeader:exit,tableRow:exit}}}function enterTable(token2){const align=token2.
+_align;this.enter({type:"table",align:align.map(function(d2){return d2==="none"?null:d2}),children:[]},token2),this.data.inTable=!0}function exitTable(token2){this.exit(token2),this.data.inTable=void 0}function enterRow(token2){this.enter({type:"tableRow",children:[]},token2)}function exit(token2){this.exit(token2)}function enterCell(token2){this.enter({type:"tableCell",children:[]},token2)}function exitCodeText(token2){let value=this.resume();this.data.inTable&&(value=value.replace(/\\([\\|])/g,
+replace));const node2=this.stack[this.stack.length-1];node2.type,node2.value=value,this.exit(token2)}function replace($0,$1){return $1==="|"?$1:$0}function gfmTableToMarkdown(options){const settings=options||{},padding=settings.tableCellPadding,alignDelimiters=settings.tablePipeAlign,stringLength=settings.stringLength,around=padding?" ":"|";return{unsafe:[{character:"\r",inConstruct:"tableCell"},{character:`
+`,inConstruct:"tableCell"},{atBreak:!0,character:"|",after:"[	 :-]"},{character:"|",inConstruct:"tableCell"},{atBreak:!0,character:":",after:"-"},{atBreak:!0,character:"-",after:"[:|-]"}],handlers:{inlineCode:inlineCodeWithTable,table:handleTable,tableCell:handleTableCell,tableRow:handleTableRow}};function handleTable(node2,_,state2,info2){return serializeData(handleTableAsData(node2,state2,info2),node2.align)}function handleTableRow(node2,_,state2,info2){const row2=handleTableRowAsData(node2,state2,
+info2),value=serializeData([row2]);return value.slice(0,value.indexOf(`
+`))}function handleTableCell(node2,_,state2,info2){const exit2=state2.enter("tableCell"),subexit=state2.enter("phrasing"),value=state2.containerPhrasing(node2,{...info2,before:around,after:around});return subexit(),exit2(),value}function serializeData(matrix,align){return markdownTable(matrix,{align,alignDelimiters,padding,stringLength})}function handleTableAsData(node2,state2,info2){const children=node2.children;let index2=-1;const result=[],subexit=state2.enter("table");for(;++index2<children.
+length;)result[index2]=handleTableRowAsData(children[index2],state2,info2);return subexit(),result}function handleTableRowAsData(node2,state2,info2){const children=node2.children;let index2=-1;const result=[],subexit=state2.enter("tableRow");for(;++index2<children.length;)result[index2]=handleTableCell(children[index2],node2,state2,info2);return subexit(),result}function inlineCodeWithTable(node2,parent,state2){let value=handle$1.inlineCode(node2,parent,state2);return state2.stack.includes("tabl\
+eCell")&&(value=value.replace(/\|/g,"\\$&")),value}}function gfmTaskListItemFromMarkdown(){return{exit:{taskListCheckValueChecked:exitCheck,taskListCheckValueUnchecked:exitCheck,paragraph:exitParagraphWithTaskListItem}}}function gfmTaskListItemToMarkdown(){return{unsafe:[{atBreak:!0,character:"-",after:"[:|-]"}],handlers:{listItem:listItemWithTaskListItem}}}function exitCheck(token2){const node2=this.stack[this.stack.length-2];node2.type,node2.checked=token2.type==="taskListCheckValueChecked"}function exitParagraphWithTaskListItem(token2){
+const parent=this.stack[this.stack.length-2];if(parent&&parent.type==="listItem"&&typeof parent.checked=="boolean"){const node2=this.stack[this.stack.length-1];node2.type;const head2=node2.children[0];if(head2&&head2.type==="text"){const siblings2=parent.children;let index2=-1,firstParaghraph;for(;++index2<siblings2.length;){const sibling2=siblings2[index2];if(sibling2.type==="paragraph"){firstParaghraph=sibling2;break}}firstParaghraph===node2&&(head2.value=head2.value.slice(1),head2.value.length===
+0?node2.children.shift():node2.position&&head2.position&&typeof head2.position.start.offset=="number"&&(head2.position.start.column++,head2.position.start.offset++,node2.position.start=Object.assign({},head2.position.start)))}}this.exit(token2)}function listItemWithTaskListItem(node2,parent,state2,info2){const head2=node2.children[0],checkable=typeof node2.checked=="boolean"&&head2&&head2.type==="paragraph",checkbox="["+(node2.checked?"x":" ")+"] ",tracker=state2.createTracker(info2);checkable&&
+tracker.move(checkbox);let value=handle$1.listItem(node2,parent,state2,{...info2,...tracker.current()});return checkable&&(value=value.replace(/^(?:[*+-]|\d+\.)([\r\n]| {1,3})/,check)),value;function check($0){return $0+checkbox}}function gfmFromMarkdown(){return[gfmAutolinkLiteralFromMarkdown(),gfmFootnoteFromMarkdown(),gfmStrikethroughFromMarkdown(),gfmTableFromMarkdown(),gfmTaskListItemFromMarkdown()]}function gfmToMarkdown(options){return{extensions:[gfmAutolinkLiteralToMarkdown(),gfmFootnoteToMarkdown(
+options),gfmStrikethroughToMarkdown(),gfmTableToMarkdown(options),gfmTaskListItemToMarkdown()]}}const wwwPrefix={tokenize:tokenizeWwwPrefix,partial:!0},domain={tokenize:tokenizeDomain,partial:!0},path$1={tokenize:tokenizePath,partial:!0},trail={tokenize:tokenizeTrail,partial:!0},emailDomainDotTrail={tokenize:tokenizeEmailDomainDotTrail,partial:!0},wwwAutolink={name:"wwwAutolink",tokenize:tokenizeWwwAutolink,previous:previousWww},protocolAutolink={name:"protocolAutolink",tokenize:tokenizeProtocolAutolink,
+previous:previousProtocol},emailAutolink={name:"emailAutolink",tokenize:tokenizeEmailAutolink,previous:previousEmail},text$4={};function gfmAutolinkLiteral(){return{text:text$4}}let code$1=48;for(;code$1<123;)text$4[code$1]=emailAutolink,code$1++,code$1===58?code$1=65:code$1===91&&(code$1=97);text$4[43]=emailAutolink;text$4[45]=emailAutolink;text$4[46]=emailAutolink;text$4[95]=emailAutolink;text$4[72]=[emailAutolink,protocolAutolink];text$4[104]=[emailAutolink,protocolAutolink];text$4[87]=[emailAutolink,
+wwwAutolink];text$4[119]=[emailAutolink,wwwAutolink];function tokenizeEmailAutolink(effects,ok,nok){const self2=this;let dot,data;return start2;function start2(code2){return!gfmAtext(code2)||!previousEmail.call(self2,self2.previous)||previousUnbalanced(self2.events)?nok(code2):(effects.enter("literalAutolink"),effects.enter("literalAutolinkEmail"),atext(code2))}function atext(code2){return gfmAtext(code2)?(effects.consume(code2),atext):code2===64?(effects.consume(code2),emailDomain):nok(code2)}function emailDomain(code2){
+return code2===46?effects.check(emailDomainDotTrail,emailDomainAfter,emailDomainDot)(code2):code2===45||code2===95||asciiAlphanumeric(code2)?(data=!0,effects.consume(code2),emailDomain):emailDomainAfter(code2)}function emailDomainDot(code2){return effects.consume(code2),dot=!0,emailDomain}function emailDomainAfter(code2){return data&&dot&&asciiAlpha(self2.previous)?(effects.exit("literalAutolinkEmail"),effects.exit("literalAutolink"),ok(code2)):nok(code2)}}function tokenizeWwwAutolink(effects,ok,nok){
+const self2=this;return wwwStart;function wwwStart(code2){return code2!==87&&code2!==119||!previousWww.call(self2,self2.previous)||previousUnbalanced(self2.events)?nok(code2):(effects.enter("literalAutolink"),effects.enter("literalAutolinkWww"),effects.check(wwwPrefix,effects.attempt(domain,effects.attempt(path$1,wwwAfter),nok),nok)(code2))}function wwwAfter(code2){return effects.exit("literalAutolinkWww"),effects.exit("literalAutolink"),ok(code2)}}function tokenizeProtocolAutolink(effects,ok,nok){
+const self2=this;let buffer="",seen2=!1;return protocolStart;function protocolStart(code2){return(code2===72||code2===104)&&previousProtocol.call(self2,self2.previous)&&!previousUnbalanced(self2.events)?(effects.enter("literalAutolink"),effects.enter("literalAutolinkHttp"),buffer+=String.fromCodePoint(code2),effects.consume(code2),protocolPrefixInside):nok(code2)}function protocolPrefixInside(code2){if(asciiAlpha(code2)&&buffer.length<5)return buffer+=String.fromCodePoint(code2),effects.consume(
+code2),protocolPrefixInside;if(code2===58){const protocol=buffer.toLowerCase();if(protocol==="http"||protocol==="https")return effects.consume(code2),protocolSlashesInside}return nok(code2)}function protocolSlashesInside(code2){return code2===47?(effects.consume(code2),seen2?afterProtocol:(seen2=!0,protocolSlashesInside)):nok(code2)}function afterProtocol(code2){return code2===null||asciiControl(code2)||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)||unicodePunctuation(code2)?nok(code2):
+effects.attempt(domain,effects.attempt(path$1,protocolAfter),nok)(code2)}function protocolAfter(code2){return effects.exit("literalAutolinkHttp"),effects.exit("literalAutolink"),ok(code2)}}function tokenizeWwwPrefix(effects,ok,nok){let size2=0;return wwwPrefixInside;function wwwPrefixInside(code2){return(code2===87||code2===119)&&size2<3?(size2++,effects.consume(code2),wwwPrefixInside):code2===46&&size2===3?(effects.consume(code2),wwwPrefixAfter):nok(code2)}function wwwPrefixAfter(code2){return code2===
+null?nok(code2):ok(code2)}}function tokenizeDomain(effects,ok,nok){let underscoreInLastSegment,underscoreInLastLastSegment,seen2;return domainInside;function domainInside(code2){return code2===46||code2===95?effects.check(trail,domainAfter,domainAtPunctuation)(code2):code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)||code2!==45&&unicodePunctuation(code2)?domainAfter(code2):(seen2=!0,effects.consume(code2),domainInside)}function domainAtPunctuation(code2){return code2===95?
+underscoreInLastSegment=!0:(underscoreInLastLastSegment=underscoreInLastSegment,underscoreInLastSegment=void 0),effects.consume(code2),domainInside}function domainAfter(code2){return underscoreInLastLastSegment||underscoreInLastSegment||!seen2?nok(code2):ok(code2)}}function tokenizePath(effects,ok){let sizeOpen=0,sizeClose=0;return pathInside;function pathInside(code2){return code2===40?(sizeOpen++,effects.consume(code2),pathInside):code2===41&&sizeClose<sizeOpen?pathAtPunctuation(code2):code2===
+33||code2===34||code2===38||code2===39||code2===41||code2===42||code2===44||code2===46||code2===58||code2===59||code2===60||code2===63||code2===93||code2===95||code2===126?effects.check(trail,ok,pathAtPunctuation)(code2):code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)?ok(code2):(effects.consume(code2),pathInside)}function pathAtPunctuation(code2){return code2===41&&sizeClose++,effects.consume(code2),pathInside}}function tokenizeTrail(effects,ok,nok){return trail2;function trail2(code2){
+return code2===33||code2===34||code2===39||code2===41||code2===42||code2===44||code2===46||code2===58||code2===59||code2===63||code2===95||code2===126?(effects.consume(code2),trail2):code2===38?(effects.consume(code2),trailCharacterReferenceStart):code2===93?(effects.consume(code2),trailBracketAfter):code2===60||code2===null||markdownLineEndingOrSpace(code2)||unicodeWhitespace(code2)?ok(code2):nok(code2)}function trailBracketAfter(code2){return code2===null||code2===40||code2===91||markdownLineEndingOrSpace(
+code2)||unicodeWhitespace(code2)?ok(code2):trail2(code2)}function trailCharacterReferenceStart(code2){return asciiAlpha(code2)?trailCharacterReferenceInside(code2):nok(code2)}function trailCharacterReferenceInside(code2){return code2===59?(effects.consume(code2),trail2):asciiAlpha(code2)?(effects.consume(code2),trailCharacterReferenceInside):nok(code2)}}function tokenizeEmailDomainDotTrail(effects,ok,nok){return start2;function start2(code2){return effects.consume(code2),after}function after(code2){
+return asciiAlphanumeric(code2)?nok(code2):ok(code2)}}function previousWww(code2){return code2===null||code2===40||code2===42||code2===95||code2===91||code2===93||code2===126||markdownLineEndingOrSpace(code2)}function previousProtocol(code2){return!asciiAlpha(code2)}function previousEmail(code2){return!(code2===47||gfmAtext(code2))}function gfmAtext(code2){return code2===43||code2===45||code2===46||code2===95||asciiAlphanumeric(code2)}function previousUnbalanced(events){let index2=events.length,
+result=!1;for(;index2--;){const token2=events[index2][1];if((token2.type==="labelLink"||token2.type==="labelImage")&&!token2._balanced){result=!0;break}if(token2._gfmAutolinkLiteralWalkedInto){result=!1;break}}return events.length>0&&!result&&(events[events.length-1][1]._gfmAutolinkLiteralWalkedInto=!0),result}const indent={tokenize:tokenizeIndent,partial:!0};function gfmFootnote(){return{document:{91:{name:"gfmFootnoteDefinition",tokenize:tokenizeDefinitionStart,continuation:{tokenize:tokenizeDefinitionContinuation},
+exit:gfmFootnoteDefinitionEnd}},text:{91:{name:"gfmFootnoteCall",tokenize:tokenizeGfmFootnoteCall},93:{name:"gfmPotentialFootnoteCall",add:"after",tokenize:tokenizePotentialGfmFootnoteCall,resolveTo:resolveToPotentialGfmFootnoteCall}}}}function tokenizePotentialGfmFootnoteCall(effects,ok,nok){const self2=this;let index2=self2.events.length;const defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let labelStart;for(;index2--;){const token2=self2.events[index2][1];if(token2.type==="\
+labelImage"){labelStart=token2;break}if(token2.type==="gfmFootnoteCall"||token2.type==="labelLink"||token2.type==="label"||token2.type==="image"||token2.type==="link")break}return start2;function start2(code2){if(!labelStart||!labelStart._balanced)return nok(code2);const id2=normalizeIdentifier(self2.sliceSerialize({start:labelStart.end,end:self2.now()}));return id2.codePointAt(0)!==94||!defined.includes(id2.slice(1))?nok(code2):(effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),
+effects.exit("gfmFootnoteCallLabelMarker"),ok(code2))}}function resolveToPotentialGfmFootnoteCall(events,context){let index2=events.length;for(;index2--;)if(events[index2][1].type==="labelImage"&&events[index2][0]==="enter"){events[index2][1];break}events[index2+1][1].type="data",events[index2+3][1].type="gfmFootnoteCallLabelMarker";const call={type:"gfmFootnoteCall",start:Object.assign({},events[index2+3][1].start),end:Object.assign({},events[events.length-1][1].end)},marker={type:"gfmFootnoteC\
+allMarker",start:Object.assign({},events[index2+3][1].end),end:Object.assign({},events[index2+3][1].end)};marker.end.column++,marker.end.offset++,marker.end._bufferIndex++;const string2={type:"gfmFootnoteCallString",start:Object.assign({},marker.end),end:Object.assign({},events[events.length-1][1].start)},chunk={type:"chunkString",contentType:"string",start:Object.assign({},string2.start),end:Object.assign({},string2.end)},replacement=[events[index2+1],events[index2+2],["enter",call,context],events[index2+
+3],events[index2+4],["enter",marker,context],["exit",marker,context],["enter",string2,context],["enter",chunk,context],["exit",chunk,context],["exit",string2,context],events[events.length-2],events[events.length-1],["exit",call,context]];return events.splice(index2,events.length-index2+1,...replacement),events}function tokenizeGfmFootnoteCall(effects,ok,nok){const self2=this,defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let size2=0,data;return start2;function start2(code2){return effects.
+enter("gfmFootnoteCall"),effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallLabelMarker"),callStart}function callStart(code2){return code2!==94?nok(code2):(effects.enter("gfmFootnoteCallMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallMarker"),effects.enter("gfmFootnoteCallString"),effects.enter("chunkString").contentType="string",callData)}function callData(code2){if(size2>999||code2===93&&!data||code2===null||code2===91||markdownLineEndingOrSpace(
+code2))return nok(code2);if(code2===93){effects.exit("chunkString");const token2=effects.exit("gfmFootnoteCallString");return defined.includes(normalizeIdentifier(self2.sliceSerialize(token2)))?(effects.enter("gfmFootnoteCallLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteCallLabelMarker"),effects.exit("gfmFootnoteCall"),ok):nok(code2)}return markdownLineEndingOrSpace(code2)||(data=!0),size2++,effects.consume(code2),code2===92?callEscape:callData}function callEscape(code2){return code2===
+91||code2===92||code2===93?(effects.consume(code2),size2++,callData):callData(code2)}}function tokenizeDefinitionStart(effects,ok,nok){const self2=this,defined=self2.parser.gfmFootnotes||(self2.parser.gfmFootnotes=[]);let identifier2,size2=0,data;return start2;function start2(code2){return effects.enter("gfmFootnoteDefinition")._container=!0,effects.enter("gfmFootnoteDefinitionLabel"),effects.enter("gfmFootnoteDefinitionLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionLabe\
+lMarker"),labelAtMarker}function labelAtMarker(code2){return code2===94?(effects.enter("gfmFootnoteDefinitionMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionMarker"),effects.enter("gfmFootnoteDefinitionLabelString"),effects.enter("chunkString").contentType="string",labelInside):nok(code2)}function labelInside(code2){if(size2>999||code2===93&&!data||code2===null||code2===91||markdownLineEndingOrSpace(code2))return nok(code2);if(code2===93){effects.exit("chunkString");const token2=effects.
+exit("gfmFootnoteDefinitionLabelString");return identifier2=normalizeIdentifier(self2.sliceSerialize(token2)),effects.enter("gfmFootnoteDefinitionLabelMarker"),effects.consume(code2),effects.exit("gfmFootnoteDefinitionLabelMarker"),effects.exit("gfmFootnoteDefinitionLabel"),labelAfter}return markdownLineEndingOrSpace(code2)||(data=!0),size2++,effects.consume(code2),code2===92?labelEscape:labelInside}function labelEscape(code2){return code2===91||code2===92||code2===93?(effects.consume(code2),size2++,
+labelInside):labelInside(code2)}function labelAfter(code2){return code2===58?(effects.enter("definitionMarker"),effects.consume(code2),effects.exit("definitionMarker"),defined.includes(identifier2)||defined.push(identifier2),factorySpace(effects,whitespaceAfter,"gfmFootnoteDefinitionWhitespace")):nok(code2)}function whitespaceAfter(code2){return ok(code2)}}function tokenizeDefinitionContinuation(effects,ok,nok){return effects.check(blankLine,ok,effects.attempt(indent,ok,nok))}function gfmFootnoteDefinitionEnd(effects){
+effects.exit("gfmFootnoteDefinition")}function tokenizeIndent(effects,ok,nok){const self2=this;return factorySpace(effects,afterPrefix,"gfmFootnoteDefinitionIndent",5);function afterPrefix(code2){const tail=self2.events[self2.events.length-1];return tail&&tail[1].type==="gfmFootnoteDefinitionIndent"&&tail[2].sliceSerialize(tail[1],!0).length===4?ok(code2):nok(code2)}}function gfmStrikethrough(options){let single=(options||{}).singleTilde;const tokenizer={name:"strikethrough",tokenize:tokenizeStrikethrough,
+resolveAll:resolveAllStrikethrough};return single==null&&(single=!0),{text:{126:tokenizer},insideSpan:{null:[tokenizer]},attentionMarkers:{null:[126]}};function resolveAllStrikethrough(events,context){let index2=-1;for(;++index2<events.length;)if(events[index2][0]==="enter"&&events[index2][1].type==="strikethroughSequenceTemporary"&&events[index2][1]._close){let open2=index2;for(;open2--;)if(events[open2][0]==="exit"&&events[open2][1].type==="strikethroughSequenceTemporary"&&events[open2][1]._open&&
+events[index2][1].end.offset-events[index2][1].start.offset===events[open2][1].end.offset-events[open2][1].start.offset){events[index2][1].type="strikethroughSequence",events[open2][1].type="strikethroughSequence";const strikethrough2={type:"strikethrough",start:Object.assign({},events[open2][1].start),end:Object.assign({},events[index2][1].end)},text2={type:"strikethroughText",start:Object.assign({},events[open2][1].end),end:Object.assign({},events[index2][1].start)},nextEvents=[["enter",strikethrough2,
+context],["enter",events[open2][1],context],["exit",events[open2][1],context],["enter",text2,context]],insideSpan2=context.parser.constructs.insideSpan.null;insideSpan2&&splice(nextEvents,nextEvents.length,0,resolveAll(insideSpan2,events.slice(open2+1,index2),context)),splice(nextEvents,nextEvents.length,0,[["exit",text2,context],["enter",events[index2][1],context],["exit",events[index2][1],context],["exit",strikethrough2,context]]),splice(events,open2-1,index2-open2+3,nextEvents),index2=open2+nextEvents.
+length-2;break}}for(index2=-1;++index2<events.length;)events[index2][1].type==="strikethroughSequenceTemporary"&&(events[index2][1].type="data");return events}function tokenizeStrikethrough(effects,ok,nok){const previous2=this.previous,events=this.events;let size2=0;return start2;function start2(code2){return previous2===126&&events[events.length-1][1].type!=="characterEscape"?nok(code2):(effects.enter("strikethroughSequenceTemporary"),more(code2))}function more(code2){const before=classifyCharacter(
+previous2);if(code2===126)return size2>1?nok(code2):(effects.consume(code2),size2++,more);if(size2<2&&!single)return nok(code2);const token2=effects.exit("strikethroughSequenceTemporary"),after=classifyCharacter(code2);return token2._open=!after||after===2&&!!before,token2._close=!before||before===2&&!!after,ok(code2)}}}class EditMap{constructor(){this.map=[]}add(index2,remove2,add2){addImplementation(this,index2,remove2,add2)}consume(events){if(this.map.sort(function(a,b){return a[0]-b[0]}),this.
+map.length===0)return;let index2=this.map.length;const vecs=[];for(;index2>0;)index2-=1,vecs.push(events.slice(this.map[index2][0]+this.map[index2][1]),this.map[index2][2]),events.length=this.map[index2][0];vecs.push(events.slice()),events.length=0;let slice=vecs.pop();for(;slice;){for(const element2 of slice)events.push(element2);slice=vecs.pop()}this.map.length=0}}function addImplementation(editMap,at,remove2,add2){let index2=0;if(!(remove2===0&&add2.length===0)){for(;index2<editMap.map.length;){
+if(editMap.map[index2][0]===at){editMap.map[index2][1]+=remove2,editMap.map[index2][2].push(...add2);return}index2+=1}editMap.map.push([at,remove2,add2])}}function gfmTableAlign(events,index2){let inDelimiterRow=!1;const align=[];for(;index2<events.length;){const event2=events[index2];if(inDelimiterRow){if(event2[0]==="enter")event2[1].type==="tableContent"&&align.push(events[index2+1][1].type==="tableDelimiterMarker"?"left":"none");else if(event2[1].type==="tableContent"){if(events[index2-1][1].
+type==="tableDelimiterMarker"){const alignIndex=align.length-1;align[alignIndex]=align[alignIndex]==="left"?"center":"right"}}else if(event2[1].type==="tableDelimiterRow")break}else event2[0]==="enter"&&event2[1].type==="tableDelimiterRow"&&(inDelimiterRow=!0);index2+=1}return align}function gfmTable(){return{flow:{null:{name:"table",tokenize:tokenizeTable,resolveAll:resolveTable}}}}function tokenizeTable(effects,ok,nok){const self2=this;let size2=0,sizeB=0,seen2;return start2;function start2(code2){
+let index2=self2.events.length-1;for(;index2>-1;){const type2=self2.events[index2][1].type;if(type2==="lineEnding"||type2==="linePrefix")index2--;else break}const tail=index2>-1?self2.events[index2][1].type:null,next2=tail==="tableHead"||tail==="tableRow"?bodyRowStart:headRowBefore;return next2===bodyRowStart&&self2.parser.lazy[self2.now().line]?nok(code2):next2(code2)}function headRowBefore(code2){return effects.enter("tableHead"),effects.enter("tableRow"),headRowStart(code2)}function headRowStart(code2){
+return code2===124||(seen2=!0,sizeB+=1),headRowBreak(code2)}function headRowBreak(code2){return code2===null?nok(code2):markdownLineEnding(code2)?sizeB>1?(sizeB=0,self2.interrupt=!0,effects.exit("tableRow"),effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),headDelimiterStart):nok(code2):markdownSpace(code2)?factorySpace(effects,headRowBreak,"whitespace")(code2):(sizeB+=1,seen2&&(seen2=!1,size2+=1),code2===124?(effects.enter("tableCellDivider"),effects.consume(code2),effects.
+exit("tableCellDivider"),seen2=!0,headRowBreak):(effects.enter("data"),headRowData(code2)))}function headRowData(code2){return code2===null||code2===124||markdownLineEndingOrSpace(code2)?(effects.exit("data"),headRowBreak(code2)):(effects.consume(code2),code2===92?headRowEscape:headRowData)}function headRowEscape(code2){return code2===92||code2===124?(effects.consume(code2),headRowData):headRowData(code2)}function headDelimiterStart(code2){return self2.interrupt=!1,self2.parser.lazy[self2.now().
+line]?nok(code2):(effects.enter("tableDelimiterRow"),seen2=!1,markdownSpace(code2)?factorySpace(effects,headDelimiterBefore,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4)(code2):headDelimiterBefore(code2))}function headDelimiterBefore(code2){return code2===45||code2===58?headDelimiterValueBefore(code2):code2===124?(seen2=!0,effects.enter("tableCellDivider"),effects.consume(code2),effects.exit("tableCellDivider"),headDelimiterCellBefore):headDelimiterNok(code2)}
+function headDelimiterCellBefore(code2){return markdownSpace(code2)?factorySpace(effects,headDelimiterValueBefore,"whitespace")(code2):headDelimiterValueBefore(code2)}function headDelimiterValueBefore(code2){return code2===58?(sizeB+=1,seen2=!0,effects.enter("tableDelimiterMarker"),effects.consume(code2),effects.exit("tableDelimiterMarker"),headDelimiterLeftAlignmentAfter):code2===45?(sizeB+=1,headDelimiterLeftAlignmentAfter(code2)):code2===null||markdownLineEnding(code2)?headDelimiterCellAfter(
+code2):headDelimiterNok(code2)}function headDelimiterLeftAlignmentAfter(code2){return code2===45?(effects.enter("tableDelimiterFiller"),headDelimiterFiller(code2)):headDelimiterNok(code2)}function headDelimiterFiller(code2){return code2===45?(effects.consume(code2),headDelimiterFiller):code2===58?(seen2=!0,effects.exit("tableDelimiterFiller"),effects.enter("tableDelimiterMarker"),effects.consume(code2),effects.exit("tableDelimiterMarker"),headDelimiterRightAlignmentAfter):(effects.exit("tableDel\
+imiterFiller"),headDelimiterRightAlignmentAfter(code2))}function headDelimiterRightAlignmentAfter(code2){return markdownSpace(code2)?factorySpace(effects,headDelimiterCellAfter,"whitespace")(code2):headDelimiterCellAfter(code2)}function headDelimiterCellAfter(code2){return code2===124?headDelimiterBefore(code2):code2===null||markdownLineEnding(code2)?!seen2||size2!==sizeB?headDelimiterNok(code2):(effects.exit("tableDelimiterRow"),effects.exit("tableHead"),ok(code2)):headDelimiterNok(code2)}function headDelimiterNok(code2){
+return nok(code2)}function bodyRowStart(code2){return effects.enter("tableRow"),bodyRowBreak(code2)}function bodyRowBreak(code2){return code2===124?(effects.enter("tableCellDivider"),effects.consume(code2),effects.exit("tableCellDivider"),bodyRowBreak):code2===null||markdownLineEnding(code2)?(effects.exit("tableRow"),ok(code2)):markdownSpace(code2)?factorySpace(effects,bodyRowBreak,"whitespace")(code2):(effects.enter("data"),bodyRowData(code2))}function bodyRowData(code2){return code2===null||code2===
+124||markdownLineEndingOrSpace(code2)?(effects.exit("data"),bodyRowBreak(code2)):(effects.consume(code2),code2===92?bodyRowEscape:bodyRowData)}function bodyRowEscape(code2){return code2===92||code2===124?(effects.consume(code2),bodyRowData):bodyRowData(code2)}}function resolveTable(events,context){let index2=-1,inFirstCellAwaitingPipe=!0,rowKind=0,lastCell=[0,0,0,0],cell2=[0,0,0,0],afterHeadAwaitingFirstBodyRow=!1,lastTableEnd=0,currentTable,currentBody,currentCell;const map2=new EditMap;for(;++index2<
+events.length;){const event2=events[index2],token2=event2[1];event2[0]==="enter"?token2.type==="tableHead"?(afterHeadAwaitingFirstBodyRow=!1,lastTableEnd!==0&&(flushTableEnd(map2,context,lastTableEnd,currentTable,currentBody),currentBody=void 0,lastTableEnd=0),currentTable={type:"table",start:Object.assign({},token2.start),end:Object.assign({},token2.end)},map2.add(index2,0,[["enter",currentTable,context]])):token2.type==="tableRow"||token2.type==="tableDelimiterRow"?(inFirstCellAwaitingPipe=!0,
+currentCell=void 0,lastCell=[0,0,0,0],cell2=[0,index2+1,0,0],afterHeadAwaitingFirstBodyRow&&(afterHeadAwaitingFirstBodyRow=!1,currentBody={type:"tableBody",start:Object.assign({},token2.start),end:Object.assign({},token2.end)},map2.add(index2,0,[["enter",currentBody,context]])),rowKind=token2.type==="tableDelimiterRow"?2:currentBody?3:1):rowKind&&(token2.type==="data"||token2.type==="tableDelimiterMarker"||token2.type==="tableDelimiterFiller")?(inFirstCellAwaitingPipe=!1,cell2[2]===0&&(lastCell[1]!==
+0&&(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,void 0,currentCell),lastCell=[0,0,0,0]),cell2[2]=index2)):token2.type==="tableCellDivider"&&(inFirstCellAwaitingPipe?inFirstCellAwaitingPipe=!1:(lastCell[1]!==0&&(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,void 0,currentCell)),lastCell=cell2,cell2=[lastCell[1],index2,0,0])):token2.type==="tableHead"?(afterHeadAwaitingFirstBodyRow=!0,lastTableEnd=index2):token2.type==="tableRow"||token2.type==="ta\
+bleDelimiterRow"?(lastTableEnd=index2,lastCell[1]!==0?(cell2[0]=cell2[1],currentCell=flushCell(map2,context,lastCell,rowKind,index2,currentCell)):cell2[1]!==0&&(currentCell=flushCell(map2,context,cell2,rowKind,index2,currentCell)),rowKind=0):rowKind&&(token2.type==="data"||token2.type==="tableDelimiterMarker"||token2.type==="tableDelimiterFiller")&&(cell2[3]=index2)}for(lastTableEnd!==0&&flushTableEnd(map2,context,lastTableEnd,currentTable,currentBody),map2.consume(context.events),index2=-1;++index2<
+context.events.length;){const event2=context.events[index2];event2[0]==="enter"&&event2[1].type==="table"&&(event2[1]._align=gfmTableAlign(context.events,index2))}return events}function flushCell(map2,context,range,rowKind,rowEnd,previousCell){const groupName=rowKind===1?"tableHeader":rowKind===2?"tableDelimiter":"tableData",valueName="tableContent";range[0]!==0&&(previousCell.end=Object.assign({},getPoint(context.events,range[0])),map2.add(range[0],0,[["exit",previousCell,context]]));const now2=getPoint(
+context.events,range[1]);if(previousCell={type:groupName,start:Object.assign({},now2),end:Object.assign({},now2)},map2.add(range[1],0,[["enter",previousCell,context]]),range[2]!==0){const relatedStart=getPoint(context.events,range[2]),relatedEnd=getPoint(context.events,range[3]),valueToken={type:valueName,start:Object.assign({},relatedStart),end:Object.assign({},relatedEnd)};if(map2.add(range[2],0,[["enter",valueToken,context]]),rowKind!==2){const start2=context.events[range[2]],end=context.events[range[3]];
+if(start2[1].end=Object.assign({},end[1].end),start2[1].type="chunkText",start2[1].contentType="text",range[3]>range[2]+1){const a=range[2]+1,b=range[3]-range[2]-1;map2.add(a,b,[])}}map2.add(range[3]+1,0,[["exit",valueToken,context]])}return rowEnd!==void 0&&(previousCell.end=Object.assign({},getPoint(context.events,rowEnd)),map2.add(rowEnd,0,[["exit",previousCell,context]]),previousCell=void 0),previousCell}function flushTableEnd(map2,context,index2,table2,tableBody){const exits=[],related=getPoint(
+context.events,index2);tableBody&&(tableBody.end=Object.assign({},related),exits.push(["exit",tableBody,context])),table2.end=Object.assign({},related),exits.push(["exit",table2,context]),map2.add(index2+1,0,exits)}function getPoint(events,index2){const event2=events[index2],side=event2[0]==="enter"?"start":"end";return event2[1][side]}const tasklistCheck={name:"tasklistCheck",tokenize:tokenizeTasklistCheck};function gfmTaskListItem(){return{text:{91:tasklistCheck}}}function tokenizeTasklistCheck(effects,ok,nok){
+const self2=this;return open2;function open2(code2){return self2.previous!==null||!self2._gfmTasklistFirstContentOfListItem?nok(code2):(effects.enter("taskListCheck"),effects.enter("taskListCheckMarker"),effects.consume(code2),effects.exit("taskListCheckMarker"),inside)}function inside(code2){return markdownLineEndingOrSpace(code2)?(effects.enter("taskListCheckValueUnchecked"),effects.consume(code2),effects.exit("taskListCheckValueUnchecked"),close2):code2===88||code2===120?(effects.enter("taskL\
+istCheckValueChecked"),effects.consume(code2),effects.exit("taskListCheckValueChecked"),close2):nok(code2)}function close2(code2){return code2===93?(effects.enter("taskListCheckMarker"),effects.consume(code2),effects.exit("taskListCheckMarker"),effects.exit("taskListCheck"),after):nok(code2)}function after(code2){return markdownLineEnding(code2)?ok(code2):markdownSpace(code2)?effects.check({tokenize:spaceThenNonSpace},ok,nok)(code2):nok(code2)}}function spaceThenNonSpace(effects,ok,nok){return factorySpace(
+effects,after,"whitespace");function after(code2){return code2===null?nok(code2):ok(code2)}}function gfm(options){return combineExtensions([gfmAutolinkLiteral(),gfmFootnote(),gfmStrikethrough(options),gfmTable(),gfmTaskListItem()])}const emptyOptions$6={};function remarkGfm(options){const self2=this,settings=options||emptyOptions$6,data=self2.data(),micromarkExtensions=data.micromarkExtensions||(data.micromarkExtensions=[]),fromMarkdownExtensions=data.fromMarkdownExtensions||(data.fromMarkdownExtensions=
+[]),toMarkdownExtensions=data.toMarkdownExtensions||(data.toMarkdownExtensions=[]);micromarkExtensions.push(gfm(settings)),fromMarkdownExtensions.push(gfmFromMarkdown()),toMarkdownExtensions.push(gfmToMarkdown(settings))}function mathFromMarkdown(){return{enter:{mathFlow:enterMathFlow,mathFlowFenceMeta:enterMathFlowMeta,mathText:enterMathText},exit:{mathFlow:exitMathFlow,mathFlowFence:exitMathFlowFence,mathFlowFenceMeta:exitMathFlowMeta,mathFlowValue:exitMathData,mathText:exitMathText,mathTextData:exitMathData}};
+function enterMathFlow(token2){const code2={type:"element",tagName:"code",properties:{className:["language-math","math-display"]},children:[]};this.enter({type:"math",meta:null,value:"",data:{hName:"pre",hChildren:[code2]}},token2)}function enterMathFlowMeta(){this.buffer()}function exitMathFlowMeta(){const data=this.resume(),node2=this.stack[this.stack.length-1];node2.type,node2.meta=data}function exitMathFlowFence(){this.data.mathFlowInside||(this.buffer(),this.data.mathFlowInside=!0)}function exitMathFlow(token2){
+const data=this.resume().replace(/^(\r?\n|\r)|(\r?\n|\r)$/g,""),node2=this.stack[this.stack.length-1];node2.type,this.exit(token2),node2.value=data;const code2=node2.data.hChildren[0];code2.type,code2.tagName,code2.children.push({type:"text",value:data}),this.data.mathFlowInside=void 0}function enterMathText(token2){this.enter({type:"inlineMath",value:"",data:{hName:"code",hProperties:{className:["language-math","math-inline"]},hChildren:[]}},token2),this.buffer()}function exitMathText(token2){const data=this.
+resume(),node2=this.stack[this.stack.length-1];node2.type,this.exit(token2),node2.value=data,node2.data.hChildren.push({type:"text",value:data})}function exitMathData(token2){this.config.enter.data.call(this,token2),this.config.exit.data.call(this,token2)}}function mathToMarkdown(options){let single=(options||{}).singleDollarTextMath;return single==null&&(single=!0),inlineMath.peek=inlineMathPeek,{unsafe:[{character:"\r",inConstruct:"mathFlowMeta"},{character:`
+`,inConstruct:"mathFlowMeta"},{character:"$",after:single?void 0:"\\$",inConstruct:"phrasing"},{character:"$",inConstruct:"mathFlowMeta"},{atBreak:!0,character:"$",after:"\\$"}],handlers:{math:math2,inlineMath}};function math2(node2,_,state2,info2){const raw2=node2.value||"",tracker=state2.createTracker(info2),sequence="$".repeat(Math.max(longestStreak(raw2,"$")+1,2)),exit2=state2.enter("mathFlow");let value=tracker.move(sequence);if(node2.meta){const subexit=state2.enter("mathFlowMeta");value+=
+tracker.move(state2.safe(node2.meta,{after:`
+`,before:value,encode:["$"],...tracker.current()})),subexit()}return value+=tracker.move(`
+`),raw2&&(value+=tracker.move(raw2+`
+`)),value+=tracker.move(sequence),exit2(),value}function inlineMath(node2,_,state2){let value=node2.value||"",size2=1;for(single||size2++;new RegExp("(^|[^$])"+"\\$".repeat(size2)+"([^$]|$)").test(value);)size2++;const sequence="$".repeat(size2);/[^ \r\n]/.test(value)&&(/^[ \r\n]/.test(value)&&/[ \r\n]$/.test(value)||/^\$|\$$/.test(value))&&(value=" "+value+" ");let index2=-1;for(;++index2<state2.unsafe.length;){const pattern2=state2.unsafe[index2];if(!pattern2.atBreak)continue;const expression=state2.
+compilePattern(pattern2);let match;for(;match=expression.exec(value);){let position2=match.index;value.codePointAt(position2)===10&&value.codePointAt(position2-1)===13&&position2--,value=value.slice(0,position2)+" "+value.slice(match.index+1)}}return sequence+value+sequence}function inlineMathPeek(){return"$"}}const mathFlow={tokenize:tokenizeMathFenced,concrete:!0,name:"mathFlow"},nonLazyContinuation={tokenize:tokenizeNonLazyContinuation,partial:!0};function tokenizeMathFenced(effects,ok,nok){const self2=this,
+tail=self2.events[self2.events.length-1],initialSize=tail&&tail[1].type==="linePrefix"?tail[2].sliceSerialize(tail[1],!0).length:0;let sizeOpen=0;return start2;function start2(code2){return effects.enter("mathFlow"),effects.enter("mathFlowFence"),effects.enter("mathFlowFenceSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===36?(effects.consume(code2),sizeOpen++,sequenceOpen):sizeOpen<2?nok(code2):(effects.exit("mathFlowFenceSequence"),factorySpace(effects,metaBefore,"whit\
+espace")(code2))}function metaBefore(code2){return code2===null||markdownLineEnding(code2)?metaAfter(code2):(effects.enter("mathFlowFenceMeta"),effects.enter("chunkString",{contentType:"string"}),meta(code2))}function meta(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("chunkString"),effects.exit("mathFlowFenceMeta"),metaAfter(code2)):code2===36?nok(code2):(effects.consume(code2),meta)}function metaAfter(code2){return effects.exit("mathFlowFence"),self2.interrupt?ok(code2):effects.
+attempt(nonLazyContinuation,beforeNonLazyContinuation,after)(code2)}function beforeNonLazyContinuation(code2){return effects.attempt({tokenize:tokenizeClosingFence,partial:!0},after,contentStart)(code2)}function contentStart(code2){return(initialSize?factorySpace(effects,beforeContentChunk,"linePrefix",initialSize+1):beforeContentChunk)(code2)}function beforeContentChunk(code2){return code2===null?after(code2):markdownLineEnding(code2)?effects.attempt(nonLazyContinuation,beforeNonLazyContinuation,
+after)(code2):(effects.enter("mathFlowValue"),contentChunk(code2))}function contentChunk(code2){return code2===null||markdownLineEnding(code2)?(effects.exit("mathFlowValue"),beforeContentChunk(code2)):(effects.consume(code2),contentChunk)}function after(code2){return effects.exit("mathFlow"),ok(code2)}function tokenizeClosingFence(effects2,ok2,nok2){let size2=0;return factorySpace(effects2,beforeSequenceClose,"linePrefix",self2.parser.constructs.disable.null.includes("codeIndented")?void 0:4);function beforeSequenceClose(code2){
+return effects2.enter("mathFlowFence"),effects2.enter("mathFlowFenceSequence"),sequenceClose(code2)}function sequenceClose(code2){return code2===36?(size2++,effects2.consume(code2),sequenceClose):size2<sizeOpen?nok2(code2):(effects2.exit("mathFlowFenceSequence"),factorySpace(effects2,afterSequenceClose,"whitespace")(code2))}function afterSequenceClose(code2){return code2===null||markdownLineEnding(code2)?(effects2.exit("mathFlowFence"),ok2(code2)):nok2(code2)}}}function tokenizeNonLazyContinuation(effects,ok,nok){
+const self2=this;return start2;function start2(code2){return code2===null?ok(code2):(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),lineStart)}function lineStart(code2){return self2.parser.lazy[self2.now().line]?nok(code2):ok(code2)}}function mathText(options){let single=(options||{}).singleDollarTextMath;return single==null&&(single=!0),{tokenize:tokenizeMathText,resolve:resolveMathText,previous,name:"mathText"};function tokenizeMathText(effects,ok,nok){let sizeOpen=0,
+size2,token2;return start2;function start2(code2){return effects.enter("mathText"),effects.enter("mathTextSequence"),sequenceOpen(code2)}function sequenceOpen(code2){return code2===36?(effects.consume(code2),sizeOpen++,sequenceOpen):sizeOpen<2&&!single?nok(code2):(effects.exit("mathTextSequence"),between2(code2))}function between2(code2){return code2===null?nok(code2):code2===36?(token2=effects.enter("mathTextSequence"),size2=0,sequenceClose(code2)):code2===32?(effects.enter("space"),effects.consume(
+code2),effects.exit("space"),between2):markdownLineEnding(code2)?(effects.enter("lineEnding"),effects.consume(code2),effects.exit("lineEnding"),between2):(effects.enter("mathTextData"),data(code2))}function data(code2){return code2===null||code2===32||code2===36||markdownLineEnding(code2)?(effects.exit("mathTextData"),between2(code2)):(effects.consume(code2),data)}function sequenceClose(code2){return code2===36?(effects.consume(code2),size2++,sequenceClose):size2===sizeOpen?(effects.exit("mathTe\
+xtSequence"),effects.exit("mathText"),ok(code2)):(token2.type="mathTextData",data(code2))}}}function resolveMathText(events){let tailExitIndex=events.length-4,headEnterIndex=3,index2,enter;if((events[headEnterIndex][1].type==="lineEnding"||events[headEnterIndex][1].type==="space")&&(events[tailExitIndex][1].type==="lineEnding"||events[tailExitIndex][1].type==="space")){for(index2=headEnterIndex;++index2<tailExitIndex;)if(events[index2][1].type==="mathTextData"){events[tailExitIndex][1].type="mat\
+hTextPadding",events[headEnterIndex][1].type="mathTextPadding",headEnterIndex+=2,tailExitIndex-=2;break}}for(index2=headEnterIndex-1,tailExitIndex++;++index2<=tailExitIndex;)enter===void 0?index2!==tailExitIndex&&events[index2][1].type!=="lineEnding"&&(enter=index2):(index2===tailExitIndex||events[index2][1].type==="lineEnding")&&(events[enter][1].type="mathTextData",index2!==enter+2&&(events[enter][1].end=events[index2-1][1].end,events.splice(enter+2,index2-enter-2),tailExitIndex-=index2-enter-
+2,index2=enter+2),enter=void 0);return events}function previous(code2){return code2!==36||this.events[this.events.length-1][1].type==="characterEscape"}function math$1(options){return{flow:{36:mathFlow},text:{36:mathText(options)}}}class SourceLocation{constructor(lexer,start2,end){this.lexer=void 0,this.start=void 0,this.end=void 0,this.lexer=lexer,this.start=start2,this.end=end}static range(first,second){return second?!first||!first.loc||!second.loc||first.loc.lexer!==second.loc.lexer?null:new SourceLocation(
+first.loc.lexer,first.loc.start,second.loc.end):first&&first.loc}}class Token{constructor(text2,loc){this.text=void 0,this.loc=void 0,this.noexpand=void 0,this.treatAsRelax=void 0,this.text=text2,this.loc=loc}range(endToken,text2){return new Token(text2,SourceLocation.range(this,endToken))}}class ParseError2{constructor(message,token2){this.name=void 0,this.position=void 0,this.length=void 0,this.rawMessage=void 0;var error2="KaTeX parse error: "+message,start2,end,loc=token2&&token2.loc;if(loc&&
+loc.start<=loc.end){var input=loc.lexer.input;start2=loc.start,end=loc.end,start2===input.length?error2+=" at end of input: ":error2+=" at position "+(start2+1)+": ";var underlined=input.slice(start2,end).replace(/[^]/g,"$&̲"),left;start2>15?left="…"+input.slice(start2-15,start2):left=input.slice(0,start2);var right;end+15<input.length?right=input.slice(end,end+15)+"…":right=input.slice(end),error2+=left+underlined+right}var self2=new Error(error2);return self2.name="ParseError",self2.__proto__=
+ParseError2.prototype,self2.position=start2,start2!=null&&end!=null&&(self2.length=end-start2),self2.rawMessage=message,self2}}ParseError2.prototype.__proto__=Error.prototype;var contains=function(list2,elem){return list2.indexOf(elem)!==-1},deflt=function(setting,defaultIfUndefined){return setting===void 0?defaultIfUndefined:setting},uppercase=/([A-Z])/g,hyphenate=function(str){return str.replace(uppercase,"-$1").toLowerCase()},ESCAPE_LOOKUP={"&":"&amp;",">":"&gt;","<":"&lt;",'"':"&quot;","'":"\
+&#x27;"},ESCAPE_REGEX=/[&><"']/g;function escape$2(text2){return String(text2).replace(ESCAPE_REGEX,match=>ESCAPE_LOOKUP[match])}var getBaseElem=function getBaseElem2(group){return group.type==="ordgroup"||group.type==="color"?group.body.length===1?getBaseElem2(group.body[0]):group:group.type==="font"?getBaseElem2(group.body):group},isCharacterBox=function(group){var baseElem=getBaseElem(group);return baseElem.type==="mathord"||baseElem.type==="textord"||baseElem.type==="atom"},assert=function(value){
+if(!value)throw new Error("Expected non-null, but got "+String(value));return value},protocolFromUrl=function(url2){var protocol=/^[\x00-\x20]*([^\\/#?]*?)(:|&#0*58|&#x0*3a|&colon)/i.exec(url2);return protocol?protocol[2]!==":"||!/^[a-zA-Z][a-zA-Z0-9+\-.]*$/.test(protocol[1])?null:protocol[1].toLowerCase():"_relative"},utils={contains,deflt,escape:escape$2,hyphenate,getBaseElem,isCharacterBox,protocolFromUrl},SETTINGS_SCHEMA={displayMode:{type:"boolean",description:"Render math in display mode, \
+which puts the math in display style (so \\int and \\sum are large, for example), and centers the math on the page on its own line.",cli:"-d, --display-mode"},output:{type:{enum:["htmlAndMathml","html","mathml"]},description:"Determines the markup language of the output.",cli:"-F, --format <type>"},leqno:{type:"boolean",description:"Render display math in leqno style (left-justified tags)."},fleqn:{type:"boolean",description:"Render display math flush left."},throwOnError:{type:"boolean",default:!0,
+cli:"-t, --no-throw-on-error",cliDescription:"Render errors (in the color given by --error-color) instead of throwing a ParseError exception when encountering an error."},errorColor:{type:"string",default:"#cc0000",cli:"-c, --error-color <color>",cliDescription:"A color string given in the format 'rgb' or 'rrggbb' (no #). This option determines the color of errors rendered by the -t option.",cliProcessor:color=>"#"+color},macros:{type:"object",cli:"-m, --macro <def>",cliDescription:"Define custo\
+m macro of the form '\\foo:expansion' (use multiple -m arguments for multiple macros).",cliDefault:[],cliProcessor:(def,defs)=>(defs.push(def),defs)},minRuleThickness:{type:"number",description:"Specifies a minimum thickness, in ems, for fraction lines, `\\sqrt` top lines, `{array}` vertical lines, `\\hline`, `\\hdashline`, `\\underline`, `\\overline`, and the borders of `\\fbox`, `\\boxed`, and `\\fcolorbox`.",processor:t=>Math.max(0,t),cli:"--min-rule-thickness <size>",cliProcessor:parseFloat},
+colorIsTextColor:{type:"boolean",description:"Makes \\color behave like LaTeX's 2-argument \\textcolor, instead of LaTeX's one-argument \\color mode change.",cli:"-b, --color-is-text-color"},strict:{type:[{enum:["warn","ignore","error"]},"boolean","function"],description:"Turn on strict / LaTeX faithfulness mode, which throws an error if the input uses features that are not supported by LaTeX.",cli:"-S, --strict",cliDefault:!1},trust:{type:["boolean","function"],description:"Trust the input, ena\
+bling all HTML features such as \\url.",cli:"-T, --trust"},maxSize:{type:"number",default:1/0,description:"If non-zero, all user-specified sizes, e.g. in \\rule{500em}{500em}, will be capped to maxSize ems. Otherwise, elements and spaces can be arbitrarily large",processor:s2=>Math.max(0,s2),cli:"-s, --max-size <n>",cliProcessor:parseInt},maxExpand:{type:"number",default:1e3,description:"Limit the number of macro expansions to the specified number, to prevent e.g. infinite macro loops. If set to\
+ Infinity, the macro expander will try to fully expand as in LaTeX.",processor:n=>Math.max(0,n),cli:"-e, --max-expand <n>",cliProcessor:n=>n==="Infinity"?1/0:parseInt(n)},globalGroup:{type:"boolean",cli:!1}};function getDefaultValue(schema){if(schema.default)return schema.default;var type2=schema.type,defaultType=Array.isArray(type2)?type2[0]:type2;if(typeof defaultType!="string")return defaultType.enum[0];switch(defaultType){case"boolean":return!1;case"string":return"";case"number":return 0;case"\
+object":return{}}}class Settings{constructor(options){this.displayMode=void 0,this.output=void 0,this.leqno=void 0,this.fleqn=void 0,this.throwOnError=void 0,this.errorColor=void 0,this.macros=void 0,this.minRuleThickness=void 0,this.colorIsTextColor=void 0,this.strict=void 0,this.trust=void 0,this.maxSize=void 0,this.maxExpand=void 0,this.globalGroup=void 0,options=options||{};for(var prop2 in SETTINGS_SCHEMA)if(SETTINGS_SCHEMA.hasOwnProperty(prop2)){var schema=SETTINGS_SCHEMA[prop2];this[prop2]=
+options[prop2]!==void 0?schema.processor?schema.processor(options[prop2]):options[prop2]:getDefaultValue(schema)}}reportNonstrict(errorCode,errorMsg,token2){var strict=this.strict;if(typeof strict=="function"&&(strict=strict(errorCode,errorMsg,token2)),!(!strict||strict==="ignore")){if(strict===!0||strict==="error")throw new ParseError2("LaTeX-incompatible input and strict mode is set to 'error': "+(errorMsg+" ["+errorCode+"]"),token2);strict==="warn"?typeof console<"u"&&console.warn("LaTeX-inco\
+mpatible input and strict mode is set to 'warn': "+(errorMsg+" ["+errorCode+"]")):typeof console<"u"&&console.warn("LaTeX-incompatible input and strict mode is set to "+("unrecognized '"+strict+"': "+errorMsg+" ["+errorCode+"]"))}}useStrictBehavior(errorCode,errorMsg,token2){var strict=this.strict;if(typeof strict=="function")try{strict=strict(errorCode,errorMsg,token2)}catch{strict="error"}return!strict||strict==="ignore"?!1:strict===!0||strict==="error"?!0:strict==="warn"?(typeof console<"u"&&
+console.warn("LaTeX-incompatible input and strict mode is set to 'warn': "+(errorMsg+" ["+errorCode+"]")),!1):(typeof console<"u"&&console.warn("LaTeX-incompatible input and strict mode is set to "+("unrecognized '"+strict+"': "+errorMsg+" ["+errorCode+"]")),!1)}isTrusted(context){if(context.url&&!context.protocol){var protocol=utils.protocolFromUrl(context.url);if(protocol==null)return!1;context.protocol=protocol}var trust=typeof this.trust=="function"?this.trust(context):this.trust;return!!trust}}
+class Style{constructor(id2,size2,cramped){this.id=void 0,this.size=void 0,this.cramped=void 0,this.id=id2,this.size=size2,this.cramped=cramped}sup(){return styles[sup[this.id]]}sub(){return styles[sub[this.id]]}fracNum(){return styles[fracNum[this.id]]}fracDen(){return styles[fracDen[this.id]]}cramp(){return styles[cramp[this.id]]}text(){return styles[text$1$1[this.id]]}isTight(){return this.size>=2}}var D=0,Dc=1,T=2,Tc=3,S=4,Sc=5,SS=6,SSc=7,styles=[new Style(D,0,!1),new Style(Dc,0,!0),new Style(
+T,1,!1),new Style(Tc,1,!0),new Style(S,2,!1),new Style(Sc,2,!0),new Style(SS,3,!1),new Style(SSc,3,!0)],sup=[S,Sc,S,Sc,SS,SSc,SS,SSc],sub=[Sc,Sc,Sc,Sc,SSc,SSc,SSc,SSc],fracNum=[T,Tc,S,Sc,SS,SSc,SS,SSc],fracDen=[Tc,Tc,Sc,Sc,SSc,SSc,SSc,SSc],cramp=[Dc,Dc,Tc,Tc,Sc,Sc,SSc,SSc],text$1$1=[D,Dc,T,Tc,T,Tc,T,Tc],Style$1={DISPLAY:styles[D],TEXT:styles[T],SCRIPT:styles[S],SCRIPTSCRIPT:styles[SS]},scriptData=[{name:"latin",blocks:[[256,591],[768,879]]},{name:"cyrillic",blocks:[[1024,1279]]},{name:"armenian",
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+math,main,mathord,"β","\\beta",!0);defineSymbol(math,main,mathord,"γ","\\gamma",!0);defineSymbol(math,main,mathord,"δ","\\delta",!0);defineSymbol(math,main,mathord,"ϵ","\\epsilon",!0);defineSymbol(math,main,mathord,"ζ","\\zeta",!0);defineSymbol(math,main,mathord,"η","\\eta",!0);defineSymbol(math,main,mathord,"θ","\\theta",!0);defineSymbol(math,main,mathord,"ι","\\iota",!0);defineSymbol(math,main,mathord,"κ","\\kappa",!0);defineSymbol(math,main,mathord,"λ","\\lambda",!0);defineSymbol(math,
+main,mathord,"μ","\\mu",!0);defineSymbol(math,main,mathord,"ν","\\nu",!0);defineSymbol(math,main,mathord,"ξ","\\xi",!0);defineSymbol(math,main,mathord,"ο","\\omicron",!0);defineSymbol(math,main,mathord,"π","\\pi",!0);defineSymbol(math,main,mathord,"ρ","\\rho",!0);defineSymbol(math,main,mathord,"σ","\\sigma",!0);defineSymbol(math,main,mathord,"τ","\\tau",!0);defineSymbol(math,main,mathord,"υ","\\upsilon",!0);defineSymbol(math,main,mathord,"ϕ","\\phi",!0);defineSymbol(math,main,mathord,"\
+χ","\\chi",!0);defineSymbol(math,main,mathord,"ψ","\\psi",!0);defineSymbol(math,main,mathord,"ω","\\omega",!0);defineSymbol(math,main,mathord,"ε","\\varepsilon",!0);defineSymbol(math,main,mathord,"ϑ","\\vartheta",!0);defineSymbol(math,main,mathord,"ϖ","\\varpi",!0);defineSymbol(math,main,mathord,"ϱ","\\varrho",!0);defineSymbol(math,main,mathord,"ς","\\varsigma",!0);defineSymbol(math,main,mathord,"φ","\\varphi",!0);defineSymbol(math,main,bin,"∗","*",!0);defineSymbol(math,main,bin,"+","\
++");defineSymbol(math,main,bin,"−","-",!0);defineSymbol(math,main,bin,"⋅","\\cdot",!0);defineSymbol(math,main,bin,"∘","\\circ",!0);defineSymbol(math,main,bin,"÷","\\div",!0);defineSymbol(math,main,bin,"±","\\pm",!0);defineSymbol(math,main,bin,"×","\\times",!0);defineSymbol(math,main,bin,"∩","\\cap",!0);defineSymbol(math,main,bin,"∪","\\cup",!0);defineSymbol(math,main,bin,"∖","\\setminus",!0);defineSymbol(math,main,bin,"∧","\\land");defineSymbol(math,main,bin,"∨","\\lor");defineSymbol(
+math,main,bin,"∧","\\wedge",!0);defineSymbol(math,main,bin,"∨","\\vee",!0);defineSymbol(math,main,textord,"√","\\surd");defineSymbol(math,main,open,"⟨","\\langle",!0);defineSymbol(math,main,open,"∣","\\lvert");defineSymbol(math,main,open,"∥","\\lVert");defineSymbol(math,main,close,"?","?");defineSymbol(math,main,close,"!","!");defineSymbol(math,main,close,"⟩","\\rangle",!0);defineSymbol(math,main,close,"∣","\\rvert");defineSymbol(math,main,close,"∥","\\rVert");defineSymbol(math,
+main,rel,"=","=");defineSymbol(math,main,rel,":",":");defineSymbol(math,main,rel,"≈","\\approx",!0);defineSymbol(math,main,rel,"≅","\\cong",!0);defineSymbol(math,main,rel,"≥","\\ge");defineSymbol(math,main,rel,"≥","\\geq",!0);defineSymbol(math,main,rel,"←","\\gets");defineSymbol(math,main,rel,">","\\gt",!0);defineSymbol(math,main,rel,"∈","\\in",!0);defineSymbol(math,main,rel,"","\\@not");defineSymbol(math,main,rel,"⊂","\\subset",!0);defineSymbol(math,main,rel,"⊃","\\supset",!0);
+defineSymbol(math,main,rel,"⊆","\\subseteq",!0);defineSymbol(math,main,rel,"⊇","\\supseteq",!0);defineSymbol(math,ams,rel,"⊈","\\nsubseteq",!0);defineSymbol(math,ams,rel,"⊉","\\nsupseteq",!0);defineSymbol(math,main,rel,"⊨","\\models");defineSymbol(math,main,rel,"←","\\leftarrow",!0);defineSymbol(math,main,rel,"≤","\\le");defineSymbol(math,main,rel,"≤","\\leq",!0);defineSymbol(math,main,rel,"<","\\lt",!0);defineSymbol(math,main,rel,"→","\\rightarrow",!0);defineSymbol(math,main,rel,
+"→","\\to");defineSymbol(math,ams,rel,"≱","\\ngeq",!0);defineSymbol(math,ams,rel,"≰","\\nleq",!0);defineSymbol(math,main,spacing," ","\\ ");defineSymbol(math,main,spacing," ","\\space");defineSymbol(math,main,spacing," ","\\nobreakspace");defineSymbol(text$3,main,spacing," ","\\ ");defineSymbol(text$3,main,spacing," "," ");defineSymbol(text$3,main,spacing," ","\\space");defineSymbol(text$3,main,spacing," ","\\nobreakspace");defineSymbol(math,main,spacing,null,"\\nobreak");defineSymbol(
+math,main,spacing,null,"\\allowbreak");defineSymbol(math,main,punct,",",",");defineSymbol(math,main,punct,";",";");defineSymbol(math,ams,bin,"⊼","\\barwedge",!0);defineSymbol(math,ams,bin,"⊻","\\veebar",!0);defineSymbol(math,main,bin,"⊙","\\odot",!0);defineSymbol(math,main,bin,"⊕","\\oplus",!0);defineSymbol(math,main,bin,"⊗","\\otimes",!0);defineSymbol(math,main,textord,"∂","\\partial",!0);defineSymbol(math,main,bin,"⊘","\\oslash",!0);defineSymbol(math,ams,bin,"⊚","\\circledcirc",
+!0);defineSymbol(math,ams,bin,"⊡","\\boxdot",!0);defineSymbol(math,main,bin,"△","\\bigtriangleup");defineSymbol(math,main,bin,"▽","\\bigtriangledown");defineSymbol(math,main,bin,"†","\\dagger");defineSymbol(math,main,bin,"⋄","\\diamond");defineSymbol(math,main,bin,"⋆","\\star");defineSymbol(math,main,bin,"◃","\\triangleleft");defineSymbol(math,main,bin,"▹","\\triangleright");defineSymbol(math,main,open,"{","\\{");defineSymbol(text$3,main,textord,"{","\\{");defineSymbol(text$3,main,
+textord,"{","\\textbraceleft");defineSymbol(math,main,close,"}","\\}");defineSymbol(text$3,main,textord,"}","\\}");defineSymbol(text$3,main,textord,"}","\\textbraceright");defineSymbol(math,main,open,"{","\\lbrace");defineSymbol(math,main,close,"}","\\rbrace");defineSymbol(math,main,open,"[","\\lbrack",!0);defineSymbol(text$3,main,textord,"[","\\lbrack",!0);defineSymbol(math,main,close,"]","\\rbrack",!0);defineSymbol(text$3,main,textord,"]","\\rbrack",!0);defineSymbol(math,main,open,"(","\\lparen",
+!0);defineSymbol(math,main,close,")","\\rparen",!0);defineSymbol(text$3,main,textord,"<","\\textless",!0);defineSymbol(text$3,main,textord,">","\\textgreater",!0);defineSymbol(math,main,open,"⌊","\\lfloor",!0);defineSymbol(math,main,close,"⌋","\\rfloor",!0);defineSymbol(math,main,open,"⌈","\\lceil",!0);defineSymbol(math,main,close,"⌉","\\rceil",!0);defineSymbol(math,main,textord,"\\","\\backslash");defineSymbol(math,main,textord,"∣","|");defineSymbol(math,main,textord,"∣","\\vert");defineSymbol(
+text$3,main,textord,"|","\\textbar",!0);defineSymbol(math,main,textord,"∥","\\|");defineSymbol(math,main,textord,"∥","\\Vert");defineSymbol(text$3,main,textord,"∥","\\textbardbl");defineSymbol(text$3,main,textord,"~","\\textasciitilde");defineSymbol(text$3,main,textord,"\\","\\textbackslash");defineSymbol(text$3,main,textord,"^","\\textasciicircum");defineSymbol(math,main,rel,"↑","\\uparrow",!0);defineSymbol(math,main,rel,"⇑","\\Uparrow",!0);defineSymbol(math,main,rel,"↓","\\downarrow",
+!0);defineSymbol(math,main,rel,"⇓","\\Downarrow",!0);defineSymbol(math,main,rel,"↕","\\updownarrow",!0);defineSymbol(math,main,rel,"⇕","\\Updownarrow",!0);defineSymbol(math,main,op,"∐","\\coprod");defineSymbol(math,main,op,"⋁","\\bigvee");defineSymbol(math,main,op,"⋀","\\bigwedge");defineSymbol(math,main,op,"⨄","\\biguplus");defineSymbol(math,main,op,"⋂","\\bigcap");defineSymbol(math,main,op,"⋃","\\bigcup");defineSymbol(math,main,op,"∫","\\int");defineSymbol(math,main,op,"∫",
+"\\intop");defineSymbol(math,main,op,"∬","\\iint");defineSymbol(math,main,op,"∭","\\iiint");defineSymbol(math,main,op,"∏","\\prod");defineSymbol(math,main,op,"∑","\\sum");defineSymbol(math,main,op,"⨂","\\bigotimes");defineSymbol(math,main,op,"⨁","\\bigoplus");defineSymbol(math,main,op,"⨀","\\bigodot");defineSymbol(math,main,op,"∮","\\oint");defineSymbol(math,main,op,"∯","\\oiint");defineSymbol(math,main,op,"∰","\\oiiint");defineSymbol(math,main,op,"⨆","\\bigsqcup");defineSymbol(
+math,main,op,"∫","\\smallint");defineSymbol(text$3,main,inner,"…","\\textellipsis");defineSymbol(math,main,inner,"…","\\mathellipsis");defineSymbol(text$3,main,inner,"…","\\ldots",!0);defineSymbol(math,main,inner,"…","\\ldots",!0);defineSymbol(math,main,inner,"⋯","\\@cdots",!0);defineSymbol(math,main,inner,"⋱","\\ddots",!0);defineSymbol(math,main,textord,"⋮","\\varvdots");defineSymbol(text$3,main,textord,"⋮","\\varvdots");defineSymbol(math,main,accent,"ˊ","\\acute");defineSymbol(
+math,main,accent,"ˋ","\\grave");defineSymbol(math,main,accent,"¨","\\ddot");defineSymbol(math,main,accent,"~","\\tilde");defineSymbol(math,main,accent,"ˉ","\\bar");defineSymbol(math,main,accent,"˘","\\breve");defineSymbol(math,main,accent,"ˇ","\\check");defineSymbol(math,main,accent,"^","\\hat");defineSymbol(math,main,accent,"⃗","\\vec");defineSymbol(math,main,accent,"˙","\\dot");defineSymbol(math,main,accent,"˚","\\mathring");defineSymbol(math,main,mathord,"","\\@imath");defineSymbol(
+math,main,mathord,"","\\@jmath");defineSymbol(math,main,textord,"ı","ı");defineSymbol(math,main,textord,"ȷ","ȷ");defineSymbol(text$3,main,textord,"ı","\\i",!0);defineSymbol(text$3,main,textord,"ȷ","\\j",!0);defineSymbol(text$3,main,textord,"ß","\\ss",!0);defineSymbol(text$3,main,textord,"æ","\\ae",!0);defineSymbol(text$3,main,textord,"œ","\\oe",!0);defineSymbol(text$3,main,textord,"ø","\\o",!0);defineSymbol(text$3,main,textord,"Æ","\\AE",!0);defineSymbol(text$3,main,textord,"Œ","\\\
+OE",!0);defineSymbol(text$3,main,textord,"Ø","\\O",!0);defineSymbol(text$3,main,accent,"ˊ","\\'");defineSymbol(text$3,main,accent,"ˋ","\\`");defineSymbol(text$3,main,accent,"ˆ","\\^");defineSymbol(text$3,main,accent,"˜","\\~");defineSymbol(text$3,main,accent,"ˉ","\\=");defineSymbol(text$3,main,accent,"˘","\\u");defineSymbol(text$3,main,accent,"˙","\\.");defineSymbol(text$3,main,accent,"¸","\\c");defineSymbol(text$3,main,accent,"˚","\\r");defineSymbol(text$3,main,accent,"ˇ","\\v");defineSymbol(
+text$3,main,accent,"¨",'\\"');defineSymbol(text$3,main,accent,"˝","\\H");defineSymbol(text$3,main,accent,"◯","\\textcircled");var ligatures={"--":!0,"---":!0,"``":!0,"''":!0};defineSymbol(text$3,main,textord,"–","--",!0);defineSymbol(text$3,main,textord,"–","\\textendash");defineSymbol(text$3,main,textord,"—","---",!0);defineSymbol(text$3,main,textord,"—","\\textemdash");defineSymbol(text$3,main,textord,"‘","`",!0);defineSymbol(text$3,main,textord,"‘","\\textquoteleft");defineSymbol(
+text$3,main,textord,"’","'",!0);defineSymbol(text$3,main,textord,"’","\\textquoteright");defineSymbol(text$3,main,textord,"“","``",!0);defineSymbol(text$3,main,textord,"“","\\textquotedblleft");defineSymbol(text$3,main,textord,"”","''",!0);defineSymbol(text$3,main,textord,"”","\\textquotedblright");defineSymbol(math,main,textord,"°","\\degree",!0);defineSymbol(text$3,main,textord,"°","\\degree");defineSymbol(text$3,main,textord,"°","\\textdegree",!0);defineSymbol(math,main,textord,
+"£","\\pounds");defineSymbol(math,main,textord,"£","\\mathsterling",!0);defineSymbol(text$3,main,textord,"£","\\pounds");defineSymbol(text$3,main,textord,"£","\\textsterling",!0);defineSymbol(math,ams,textord,"✠","\\maltese");defineSymbol(text$3,ams,textord,"✠","\\maltese");var mathTextSymbols='0123456789/@."';for(var i=0;i<mathTextSymbols.length;i++){var ch=mathTextSymbols.charAt(i);defineSymbol(math,main,textord,ch,ch)}var textSymbols='0123456789!@*()-=+";:?/.,';for(var _i=0;_i<textSymbols.
+length;_i++){var _ch=textSymbols.charAt(_i);defineSymbol(text$3,main,textord,_ch,_ch)}var letters="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";for(var _i2=0;_i2<letters.length;_i2++){var _ch2=letters.charAt(_i2);defineSymbol(math,main,mathord,_ch2,_ch2),defineSymbol(text$3,main,textord,_ch2,_ch2)}defineSymbol(math,ams,textord,"C","ℂ");defineSymbol(text$3,ams,textord,"C","ℂ");defineSymbol(math,ams,textord,"H","ℍ");defineSymbol(text$3,ams,textord,"H","ℍ");defineSymbol(math,ams,textord,
+"N","ℕ");defineSymbol(text$3,ams,textord,"N","ℕ");defineSymbol(math,ams,textord,"P","ℙ");defineSymbol(text$3,ams,textord,"P","ℙ");defineSymbol(math,ams,textord,"Q","ℚ");defineSymbol(text$3,ams,textord,"Q","ℚ");defineSymbol(math,ams,textord,"R","ℝ");defineSymbol(text$3,ams,textord,"R","ℝ");defineSymbol(math,ams,textord,"Z","ℤ");defineSymbol(text$3,ams,textord,"Z","ℤ");defineSymbol(math,main,mathord,"h","ℎ");defineSymbol(text$3,main,mathord,"h","ℎ");var wideChar="";for(var _i3=0;_i3<
+letters.length;_i3++){var _ch3=letters.charAt(_i3);wideChar=String.fromCharCode(55349,56320+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56372+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56424+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(
+55349,56580+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56684+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56736+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56788+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,
+main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56840+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56944+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),_i3<26&&(wideChar=String.fromCharCode(55349,56632+_i3),defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar),wideChar=String.fromCharCode(55349,56476+_i3),
+defineSymbol(math,main,mathord,_ch3,wideChar),defineSymbol(text$3,main,textord,_ch3,wideChar))}wideChar="𝕜";defineSymbol(math,main,mathord,"k",wideChar);defineSymbol(text$3,main,textord,"k",wideChar);for(var _i4=0;_i4<10;_i4++){var _ch4=_i4.toString();wideChar=String.fromCharCode(55349,57294+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57314+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(
+text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57324+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar),wideChar=String.fromCharCode(55349,57334+_i4),defineSymbol(math,main,mathord,_ch4,wideChar),defineSymbol(text$3,main,textord,_ch4,wideChar)}var extraLatin="ÐÞþ";for(var _i5=0;_i5<extraLatin.length;_i5++){var _ch5=extraLatin.charAt(_i5);defineSymbol(math,main,mathord,_ch5,_ch5),defineSymbol(text$3,main,textord,_ch5,_ch5)}
+var wideLatinLetterData=[["mathbf","textbf","Main-Bold"],["mathbf","textbf","Main-Bold"],["mathnormal","textit","Math-Italic"],["mathnormal","textit","Math-Italic"],["boldsymbol","boldsymbol","Main-BoldItalic"],["boldsymbol","boldsymbol","Main-BoldItalic"],["mathscr","textscr","Script-Regular"],["","",""],["","",""],["","",""],["mathfrak","textfrak","Fraktur-Regular"],["mathfrak","textfrak","Fraktur-Regular"],["mathbb","textbb","AMS-Regular"],["mathbb","textbb","AMS-Regular"],["mathboldfrak","te\
+xtboldfrak","Fraktur-Regular"],["mathboldfrak","textboldfrak","Fraktur-Regular"],["mathsf","textsf","SansSerif-Regular"],["mathsf","textsf","SansSerif-Regular"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathitsf","textitsf","SansSerif-Italic"],["mathitsf","textitsf","SansSerif-Italic"],["","",""],["","",""],["mathtt","texttt","Typewriter-Regular"],["mathtt","texttt","Typewriter-Regular"]],wideNumeralData=[["mathbf","textbf","Main-Bold"],["","",""],
+["mathsf","textsf","SansSerif-Regular"],["mathboldsf","textboldsf","SansSerif-Bold"],["mathtt","texttt","Typewriter-Regular"]],wideCharacterFont=function(wideChar2,mode){var H=wideChar2.charCodeAt(0),L=wideChar2.charCodeAt(1),codePoint=(H-55296)*1024+(L-56320)+65536,j=mode==="math"?0:1;if(119808<=codePoint&&codePoint<120484){var i=Math.floor((codePoint-119808)/26);return[wideLatinLetterData[i][2],wideLatinLetterData[i][j]]}else if(120782<=codePoint&&codePoint<=120831){var _i=Math.floor((codePoint-
+120782)/10);return[wideNumeralData[_i][2],wideNumeralData[_i][j]]}else{if(codePoint===120485||codePoint===120486)return[wideLatinLetterData[0][2],wideLatinLetterData[0][j]];if(120486<codePoint&&codePoint<120782)return["",""];throw new ParseError2("Unsupported character: "+wideChar2)}},lookupSymbol=function(value,fontName,mode){return symbols[mode][value]&&symbols[mode][value].replace&&(value=symbols[mode][value].replace),{value,metrics:getCharacterMetrics(value,fontName,mode)}},makeSymbol=function(value,fontName,mode,options,classes){
+var lookup=lookupSymbol(value,fontName,mode),metrics=lookup.metrics;value=lookup.value;var symbolNode;if(metrics){var italic=metrics.italic;(mode==="text"||options&&options.font==="mathit")&&(italic=0),symbolNode=new SymbolNode(value,metrics.height,metrics.depth,italic,metrics.skew,metrics.width,classes)}else typeof console<"u"&&console.warn("No character metrics "+("for '"+value+"' in style '"+fontName+"' and mode '"+mode+"'")),symbolNode=new SymbolNode(value,0,0,0,0,0,classes);if(options){symbolNode.
+maxFontSize=options.sizeMultiplier,options.style.isTight()&&symbolNode.classes.push("mtight");var color=options.getColor();color&&(symbolNode.style.color=color)}return symbolNode},mathsym=function(value,mode,options,classes){return classes===void 0&&(classes=[]),options.font==="boldsymbol"&&lookupSymbol(value,"Main-Bold",mode).metrics?makeSymbol(value,"Main-Bold",mode,options,classes.concat(["mathbf"])):value==="\\"||symbols[mode][value].font==="main"?makeSymbol(value,"Main-Regular",mode,options,
+classes):makeSymbol(value,"AMS-Regular",mode,options,classes.concat(["amsrm"]))},boldsymbol=function(value,mode,options,classes,type2){return type2!=="textord"&&lookupSymbol(value,"Math-BoldItalic",mode).metrics?{fontName:"Math-BoldItalic",fontClass:"boldsymbol"}:{fontName:"Main-Bold",fontClass:"mathbf"}},makeOrd=function(group,options,type2){var mode=group.mode,text2=group.text,classes=["mord"],isFont=mode==="math"||mode==="text"&&options.font,fontOrFamily=isFont?options.font:options.fontFamily,
+wideFontName="",wideFontClass="";if(text2.charCodeAt(0)===55349&&([wideFontName,wideFontClass]=wideCharacterFont(text2,mode)),wideFontName.length>0)return makeSymbol(text2,wideFontName,mode,options,classes.concat(wideFontClass));if(fontOrFamily){var fontName,fontClasses;if(fontOrFamily==="boldsymbol"){var fontData=boldsymbol(text2,mode,options,classes,type2);fontName=fontData.fontName,fontClasses=[fontData.fontClass]}else isFont?(fontName=fontMap[fontOrFamily].fontName,fontClasses=[fontOrFamily]):
+(fontName=retrieveTextFontName(fontOrFamily,options.fontWeight,options.fontShape),fontClasses=[fontOrFamily,options.fontWeight,options.fontShape]);if(lookupSymbol(text2,fontName,mode).metrics)return makeSymbol(text2,fontName,mode,options,classes.concat(fontClasses));if(ligatures.hasOwnProperty(text2)&&fontName.slice(0,10)==="Typewriter"){for(var parts=[],i=0;i<text2.length;i++)parts.push(makeSymbol(text2[i],fontName,mode,options,classes.concat(fontClasses)));return makeFragment(parts)}}if(type2===
+"mathord")return makeSymbol(text2,"Math-Italic",mode,options,classes.concat(["mathnormal"]));if(type2==="textord"){var font=symbols[mode][text2]&&symbols[mode][text2].font;if(font==="ams"){var _fontName=retrieveTextFontName("amsrm",options.fontWeight,options.fontShape);return makeSymbol(text2,_fontName,mode,options,classes.concat("amsrm",options.fontWeight,options.fontShape))}else if(font==="main"||!font){var _fontName2=retrieveTextFontName("textrm",options.fontWeight,options.fontShape);return makeSymbol(
+text2,_fontName2,mode,options,classes.concat(options.fontWeight,options.fontShape))}else{var _fontName3=retrieveTextFontName(font,options.fontWeight,options.fontShape);return makeSymbol(text2,_fontName3,mode,options,classes.concat(_fontName3,options.fontWeight,options.fontShape))}}else throw new Error("unexpected type: "+type2+" in makeOrd")},canCombine=(prev2,next2)=>{if(createClass(prev2.classes)!==createClass(next2.classes)||prev2.skew!==next2.skew||prev2.maxFontSize!==next2.maxFontSize)return!1;
+if(prev2.classes.length===1){var cls=prev2.classes[0];if(cls==="mbin"||cls==="mord")return!1}for(var style2 in prev2.style)if(prev2.style.hasOwnProperty(style2)&&prev2.style[style2]!==next2.style[style2])return!1;for(var _style in next2.style)if(next2.style.hasOwnProperty(_style)&&prev2.style[_style]!==next2.style[_style])return!1;return!0},tryCombineChars=chars=>{for(var i=0;i<chars.length-1;i++){var prev2=chars[i],next2=chars[i+1];prev2 instanceof SymbolNode&&next2 instanceof SymbolNode&&canCombine(
+prev2,next2)&&(prev2.text+=next2.text,prev2.height=Math.max(prev2.height,next2.height),prev2.depth=Math.max(prev2.depth,next2.depth),prev2.italic=next2.italic,chars.splice(i+1,1),i--)}return chars},sizeElementFromChildren=function(elem){for(var height=0,depth=0,maxFontSize=0,i=0;i<elem.children.length;i++){var child2=elem.children[i];child2.height>height&&(height=child2.height),child2.depth>depth&&(depth=child2.depth),child2.maxFontSize>maxFontSize&&(maxFontSize=child2.maxFontSize)}elem.height=height,
+elem.depth=depth,elem.maxFontSize=maxFontSize},makeSpan$2=function(classes,children,options,style2){var span=new Span(classes,children,options,style2);return sizeElementFromChildren(span),span},makeSvgSpan=(classes,children,options,style2)=>new Span(classes,children,options,style2),makeLineSpan=function(className,options,thickness){var line=makeSpan$2([className],[],options);return line.height=Math.max(thickness||options.fontMetrics().defaultRuleThickness,options.minRuleThickness),line.style.borderBottomWidth=
+makeEm(line.height),line.maxFontSize=1,line},makeAnchor=function(href,classes,children,options){var anchor=new Anchor(href,classes,children,options);return sizeElementFromChildren(anchor),anchor},makeFragment=function(children){var fragment=new DocumentFragment(children);return sizeElementFromChildren(fragment),fragment},wrapFragment=function(group,options){return group instanceof DocumentFragment?makeSpan$2([],[group],options):group},getVListChildrenAndDepth=function(params){if(params.positionType===
+"individualShift"){for(var oldChildren=params.children,children=[oldChildren[0]],_depth=-oldChildren[0].shift-oldChildren[0].elem.depth,currPos=_depth,i=1;i<oldChildren.length;i++){var diff2=-oldChildren[i].shift-currPos-oldChildren[i].elem.depth,size2=diff2-(oldChildren[i-1].elem.height+oldChildren[i-1].elem.depth);currPos=currPos+diff2,children.push({type:"kern",size:size2}),children.push(oldChildren[i])}return{children,depth:_depth}}var depth;if(params.positionType==="top"){for(var bottom=params.
+positionData,_i=0;_i<params.children.length;_i++){var child2=params.children[_i];bottom-=child2.type==="kern"?child2.size:child2.elem.height+child2.elem.depth}depth=bottom}else if(params.positionType==="bottom")depth=-params.positionData;else{var firstChild=params.children[0];if(firstChild.type!=="elem")throw new Error('First child must have type "elem".');if(params.positionType==="shift")depth=-firstChild.elem.depth-params.positionData;else if(params.positionType==="firstBaseline")depth=-firstChild.
+elem.depth;else throw new Error("Invalid positionType "+params.positionType+".")}return{children:params.children,depth}},makeVList=function(params,options){for(var{children,depth}=getVListChildrenAndDepth(params),pstrutSize=0,i=0;i<children.length;i++){var child2=children[i];if(child2.type==="elem"){var elem=child2.elem;pstrutSize=Math.max(pstrutSize,elem.maxFontSize,elem.height)}}pstrutSize+=2;var pstrut=makeSpan$2(["pstrut"],[]);pstrut.style.height=makeEm(pstrutSize);for(var realChildren=[],minPos=depth,
+maxPos=depth,currPos=depth,_i2=0;_i2<children.length;_i2++){var _child=children[_i2];if(_child.type==="kern")currPos+=_child.size;else{var _elem=_child.elem,classes=_child.wrapperClasses||[],style2=_child.wrapperStyle||{},childWrap=makeSpan$2(classes,[pstrut,_elem],void 0,style2);childWrap.style.top=makeEm(-pstrutSize-currPos-_elem.depth),_child.marginLeft&&(childWrap.style.marginLeft=_child.marginLeft),_child.marginRight&&(childWrap.style.marginRight=_child.marginRight),realChildren.push(childWrap),
+currPos+=_elem.height+_elem.depth}minPos=Math.min(minPos,currPos),maxPos=Math.max(maxPos,currPos)}var vlist=makeSpan$2(["vlist"],realChildren);vlist.style.height=makeEm(maxPos);var rows;if(minPos<0){var emptySpan=makeSpan$2([],[]),depthStrut=makeSpan$2(["vlist"],[emptySpan]);depthStrut.style.height=makeEm(-minPos);var topStrut=makeSpan$2(["vlist-s"],[new SymbolNode("​")]);rows=[makeSpan$2(["vlist-r"],[vlist,topStrut]),makeSpan$2(["vlist-r"],[depthStrut])]}else rows=[makeSpan$2(["vlist-r"],[vlist])];
+var vtable=makeSpan$2(["vlist-t"],rows);return rows.length===2&&vtable.classes.push("vlist-t2"),vtable.height=maxPos,vtable.depth=-minPos,vtable},makeGlue=(measurement,options)=>{var rule=makeSpan$2(["mspace"],[],options),size2=calculateSize(measurement,options);return rule.style.marginRight=makeEm(size2),rule},retrieveTextFontName=function(fontFamily,fontWeight,fontShape){var baseFontName="";switch(fontFamily){case"amsrm":baseFontName="AMS";break;case"textrm":baseFontName="Main";break;case"text\
+sf":baseFontName="SansSerif";break;case"texttt":baseFontName="Typewriter";break;default:baseFontName=fontFamily}var fontStylesName;return fontWeight==="textbf"&&fontShape==="textit"?fontStylesName="BoldItalic":fontWeight==="textbf"?fontStylesName="Bold":fontWeight==="textit"?fontStylesName="Italic":fontStylesName="Regular",baseFontName+"-"+fontStylesName},fontMap={mathbf:{variant:"bold",fontName:"Main-Bold"},mathrm:{variant:"normal",fontName:"Main-Regular"},textit:{variant:"italic",fontName:"Mai\
+n-Italic"},mathit:{variant:"italic",fontName:"Main-Italic"},mathnormal:{variant:"italic",fontName:"Math-Italic"},mathsfit:{variant:"sans-serif-italic",fontName:"SansSerif-Italic"},mathbb:{variant:"double-struck",fontName:"AMS-Regular"},mathcal:{variant:"script",fontName:"Caligraphic-Regular"},mathfrak:{variant:"fraktur",fontName:"Fraktur-Regular"},mathscr:{variant:"script",fontName:"Script-Regular"},mathsf:{variant:"sans-serif",fontName:"SansSerif-Regular"},mathtt:{variant:"monospace",fontName:"\
+Typewriter-Regular"}},svgData={vec:["vec",.471,.714],oiintSize1:["oiintSize1",.957,.499],oiintSize2:["oiintSize2",1.472,.659],oiiintSize1:["oiiintSize1",1.304,.499],oiiintSize2:["oiiintSize2",1.98,.659]},staticSvg=function(value,options){var[pathName,width,height]=svgData[value],path2=new PathNode(pathName),svgNode=new SvgNode([path2],{width:makeEm(width),height:makeEm(height),style:"width:"+makeEm(width),viewBox:"0 0 "+1e3*width+" "+1e3*height,preserveAspectRatio:"xMinYMin"}),span=makeSvgSpan([
+"overlay"],[svgNode],options);return span.height=height,span.style.height=makeEm(height),span.style.width=makeEm(width),span},buildCommon={fontMap,makeSymbol,mathsym,makeSpan:makeSpan$2,makeSvgSpan,makeLineSpan,makeAnchor,makeFragment,wrapFragment,makeVList,makeOrd,makeGlue,staticSvg,svgData,tryCombineChars},thinspace={number:3,unit:"mu"},mediumspace={number:4,unit:"mu"},thickspace={number:5,unit:"mu"},spacings={mord:{mop:thinspace,mbin:mediumspace,mrel:thickspace,minner:thinspace},mop:{mord:thinspace,
+mop:thinspace,mrel:thickspace,minner:thinspace},mbin:{mord:mediumspace,mop:mediumspace,mopen:mediumspace,minner:mediumspace},mrel:{mord:thickspace,mop:thickspace,mopen:thickspace,minner:thickspace},mopen:{},mclose:{mop:thinspace,mbin:mediumspace,mrel:thickspace,minner:thinspace},mpunct:{mord:thinspace,mop:thinspace,mrel:thickspace,mopen:thinspace,mclose:thinspace,mpunct:thinspace,minner:thinspace},minner:{mord:thinspace,mop:thinspace,mbin:mediumspace,mrel:thickspace,mopen:thinspace,mpunct:thinspace,
+minner:thinspace}},tightSpacings={mord:{mop:thinspace},mop:{mord:thinspace,mop:thinspace},mbin:{},mrel:{},mopen:{},mclose:{mop:thinspace},mpunct:{},minner:{mop:thinspace}},_functions={},_htmlGroupBuilders={},_mathmlGroupBuilders={};function defineFunction(_ref){for(var{type:type2,names:names2,props,handler,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref,data={type:type2,numArgs:props.numArgs,argTypes:props.argTypes,allowedInArgument:!!props.allowedInArgument,allowedInText:!!props.allowedInText,
+allowedInMath:props.allowedInMath===void 0?!0:props.allowedInMath,numOptionalArgs:props.numOptionalArgs||0,infix:!!props.infix,primitive:!!props.primitive,handler},i=0;i<names2.length;++i)_functions[names2[i]]=data;type2&&(htmlBuilder3&&(_htmlGroupBuilders[type2]=htmlBuilder3),mathmlBuilder3&&(_mathmlGroupBuilders[type2]=mathmlBuilder3))}function defineFunctionBuilders(_ref2){var{type:type2,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref2;defineFunction({type:type2,names:[],props:{numArgs:0},
+handler(){throw new Error("Should never be called.")},htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3})}var normalizeArgument=function(arg){return arg.type==="ordgroup"&&arg.body.length===1?arg.body[0]:arg},ordargument=function(arg){return arg.type==="ordgroup"?arg.body:[arg]},makeSpan$1=buildCommon.makeSpan,binLeftCanceller=["leftmost","mbin","mopen","mrel","mop","mpunct"],binRightCanceller=["rightmost","mrel","mclose","mpunct"],styleMap$1={display:Style$1.DISPLAY,text:Style$1.TEXT,script:Style$1.
+SCRIPT,scriptscript:Style$1.SCRIPTSCRIPT},DomEnum={mord:"mord",mop:"mop",mbin:"mbin",mrel:"mrel",mopen:"mopen",mclose:"mclose",mpunct:"mpunct",minner:"minner"},buildExpression$1=function(expression,options,isRealGroup,surrounding){surrounding===void 0&&(surrounding=[null,null]);for(var groups=[],i=0;i<expression.length;i++){var output=buildGroup$1(expression[i],options);if(output instanceof DocumentFragment){var children=output.children;groups.push(...children)}else groups.push(output)}if(buildCommon.
+tryCombineChars(groups),!isRealGroup)return groups;var glueOptions=options;if(expression.length===1){var node2=expression[0];node2.type==="sizing"?glueOptions=options.havingSize(node2.size):node2.type==="styling"&&(glueOptions=options.havingStyle(styleMap$1[node2.style]))}var dummyPrev=makeSpan$1([surrounding[0]||"leftmost"],[],options),dummyNext=makeSpan$1([surrounding[1]||"rightmost"],[],options),isRoot=isRealGroup==="root";return traverseNonSpaceNodes(groups,(node3,prev2)=>{var prevType=prev2.
+classes[0],type2=node3.classes[0];prevType==="mbin"&&utils.contains(binRightCanceller,type2)?prev2.classes[0]="mord":type2==="mbin"&&utils.contains(binLeftCanceller,prevType)&&(node3.classes[0]="mord")},{node:dummyPrev},dummyNext,isRoot),traverseNonSpaceNodes(groups,(node3,prev2)=>{var prevType=getTypeOfDomTree(prev2),type2=getTypeOfDomTree(node3),space2=prevType&&type2?node3.hasClass("mtight")?tightSpacings[prevType][type2]:spacings[prevType][type2]:null;if(space2)return buildCommon.makeGlue(space2,
+glueOptions)},{node:dummyPrev},dummyNext,isRoot),groups},traverseNonSpaceNodes=function traverseNonSpaceNodes2(nodes2,callback,prev2,next2,isRoot){next2&&nodes2.push(next2);for(var i=0;i<nodes2.length;i++){var node2=nodes2[i],partialGroup=checkPartialGroup(node2);if(partialGroup){traverseNonSpaceNodes2(partialGroup.children,callback,prev2,null,isRoot);continue}var nonspace=!node2.hasClass("mspace");if(nonspace){var result=callback(node2,prev2.node);result&&(prev2.insertAfter?prev2.insertAfter(result):
+(nodes2.unshift(result),i++))}nonspace?prev2.node=node2:isRoot&&node2.hasClass("newline")&&(prev2.node=makeSpan$1(["leftmost"])),prev2.insertAfter=(index2=>n=>{nodes2.splice(index2+1,0,n),i++})(i)}next2&&nodes2.pop()},checkPartialGroup=function(node2){return node2 instanceof DocumentFragment||node2 instanceof Anchor||node2 instanceof Span&&node2.hasClass("enclosing")?node2:null},getOutermostNode=function getOutermostNode2(node2,side){var partialGroup=checkPartialGroup(node2);if(partialGroup){var children=partialGroup.
+children;if(children.length){if(side==="right")return getOutermostNode2(children[children.length-1],"right");if(side==="left")return getOutermostNode2(children[0],"left")}}return node2},getTypeOfDomTree=function(node2,side){return node2?(side&&(node2=getOutermostNode(node2,side)),DomEnum[node2.classes[0]]||null):null},makeNullDelimiter=function(options,classes){var moreClasses=["nulldelimiter"].concat(options.baseSizingClasses());return makeSpan$1(classes.concat(moreClasses))},buildGroup$1=function(group,options,baseOptions){
+if(!group)return makeSpan$1();if(_htmlGroupBuilders[group.type]){var groupNode=_htmlGroupBuilders[group.type](group,options);if(baseOptions&&options.size!==baseOptions.size){groupNode=makeSpan$1(options.sizingClasses(baseOptions),[groupNode],options);var multiplier=options.sizeMultiplier/baseOptions.sizeMultiplier;groupNode.height*=multiplier,groupNode.depth*=multiplier}return groupNode}else throw new ParseError2("Got group of unknown type: '"+group.type+"'")};function buildHTMLUnbreakable(children,options){
+var body2=makeSpan$1(["base"],children,options),strut=makeSpan$1(["strut"]);return strut.style.height=makeEm(body2.height+body2.depth),body2.depth&&(strut.style.verticalAlign=makeEm(-body2.depth)),body2.children.unshift(strut),body2}function buildHTML(tree,options){var tag=null;tree.length===1&&tree[0].type==="tag"&&(tag=tree[0].tag,tree=tree[0].body);var expression=buildExpression$1(tree,options,"root"),eqnNum;expression.length===2&&expression[1].hasClass("tag")&&(eqnNum=expression.pop());for(var children=[],
+parts=[],i=0;i<expression.length;i++)if(parts.push(expression[i]),expression[i].hasClass("mbin")||expression[i].hasClass("mrel")||expression[i].hasClass("allowbreak")){for(var nobreak=!1;i<expression.length-1&&expression[i+1].hasClass("mspace")&&!expression[i+1].hasClass("newline");)i++,parts.push(expression[i]),expression[i].hasClass("nobreak")&&(nobreak=!0);nobreak||(children.push(buildHTMLUnbreakable(parts,options)),parts=[])}else expression[i].hasClass("newline")&&(parts.pop(),parts.length>0&&
+(children.push(buildHTMLUnbreakable(parts,options)),parts=[]),children.push(expression[i]));parts.length>0&&children.push(buildHTMLUnbreakable(parts,options));var tagChild;tag?(tagChild=buildHTMLUnbreakable(buildExpression$1(tag,options,!0)),tagChild.classes=["tag"],children.push(tagChild)):eqnNum&&children.push(eqnNum);var htmlNode=makeSpan$1(["katex-html"],children);if(htmlNode.setAttribute("aria-hidden","true"),tagChild){var strut=tagChild.children[0];strut.style.height=makeEm(htmlNode.height+
+htmlNode.depth),htmlNode.depth&&(strut.style.verticalAlign=makeEm(-htmlNode.depth))}return htmlNode}function newDocumentFragment(children){return new DocumentFragment(children)}class MathNode{constructor(type2,children,classes){this.type=void 0,this.attributes=void 0,this.children=void 0,this.classes=void 0,this.type=type2,this.attributes={},this.children=children||[],this.classes=classes||[]}setAttribute(name,value){this.attributes[name]=value}getAttribute(name){return this.attributes[name]}toNode(){
+var node2=document.createElementNS("http://www.w3.org/1998/Math/MathML",this.type);for(var attr in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,attr)&&node2.setAttribute(attr,this.attributes[attr]);this.classes.length>0&&(node2.className=createClass(this.classes));for(var i=0;i<this.children.length;i++)if(this.children[i]instanceof TextNode&&this.children[i+1]instanceof TextNode){for(var text2=this.children[i].toText()+this.children[++i].toText();this.children[i+1]instanceof
+TextNode;)text2+=this.children[++i].toText();node2.appendChild(new TextNode(text2).toNode())}else node2.appendChild(this.children[i].toNode());return node2}toMarkup(){var markup="<"+this.type;for(var attr in this.attributes)Object.prototype.hasOwnProperty.call(this.attributes,attr)&&(markup+=" "+attr+'="',markup+=utils.escape(this.attributes[attr]),markup+='"');this.classes.length>0&&(markup+=' class ="'+utils.escape(createClass(this.classes))+'"'),markup+=">";for(var i=0;i<this.children.length;i++)
+markup+=this.children[i].toMarkup();return markup+="</"+this.type+">",markup}toText(){return this.children.map(child2=>child2.toText()).join("")}}class TextNode{constructor(text2){this.text=void 0,this.text=text2}toNode(){return document.createTextNode(this.text)}toMarkup(){return utils.escape(this.toText())}toText(){return this.text}}class SpaceNode{constructor(width){this.width=void 0,this.character=void 0,this.width=width,width>=.05555&&width<=.05556?this.character=" ":width>=.1666&&width<=
+.1667?this.character=" ":width>=.2222&&width<=.2223?this.character=" ":width>=.2777&&width<=.2778?this.character="  ":width>=-.05556&&width<=-.05555?this.character=" ⁣":width>=-.1667&&width<=-.1666?this.character=" ⁣":width>=-.2223&&width<=-.2222?this.character=" ⁣":width>=-.2778&&width<=-.2777?this.character=" ⁣":this.character=null}toNode(){if(this.character)return document.createTextNode(this.character);var node2=document.createElementNS("http://www.w3.org/1998/Math/Ma\
+thML","mspace");return node2.setAttribute("width",makeEm(this.width)),node2}toMarkup(){return this.character?"<mtext>"+this.character+"</mtext>":'<mspace width="'+makeEm(this.width)+'"/>'}toText(){return this.character?this.character:" "}}var mathMLTree={MathNode,TextNode,SpaceNode,newDocumentFragment},makeText=function(text2,mode,options){return symbols[mode][text2]&&symbols[mode][text2].replace&&text2.charCodeAt(0)!==55349&&!(ligatures.hasOwnProperty(text2)&&options&&(options.fontFamily&&options.
+fontFamily.slice(4,6)==="tt"||options.font&&options.font.slice(4,6)==="tt"))&&(text2=symbols[mode][text2].replace),new mathMLTree.TextNode(text2)},makeRow=function(body2){return body2.length===1?body2[0]:new mathMLTree.MathNode("mrow",body2)},getVariant=function(group,options){if(options.fontFamily==="texttt")return"monospace";if(options.fontFamily==="textsf")return options.fontShape==="textit"&&options.fontWeight==="textbf"?"sans-serif-bold-italic":options.fontShape==="textit"?"sans-serif-itali\
+c":options.fontWeight==="textbf"?"bold-sans-serif":"sans-serif";if(options.fontShape==="textit"&&options.fontWeight==="textbf")return"bold-italic";if(options.fontShape==="textit")return"italic";if(options.fontWeight==="textbf")return"bold";var font=options.font;if(!font||font==="mathnormal")return null;var mode=group.mode;if(font==="mathit")return"italic";if(font==="boldsymbol")return group.type==="textord"?"bold":"bold-italic";if(font==="mathbf")return"bold";if(font==="mathbb")return"double-str\
+uck";if(font==="mathsfit")return"sans-serif-italic";if(font==="mathfrak")return"fraktur";if(font==="mathscr"||font==="mathcal")return"script";if(font==="mathsf")return"sans-serif";if(font==="mathtt")return"monospace";var text2=group.text;if(utils.contains(["\\imath","\\jmath"],text2))return null;symbols[mode][text2]&&symbols[mode][text2].replace&&(text2=symbols[mode][text2].replace);var fontName=buildCommon.fontMap[font].fontName;return getCharacterMetrics(text2,fontName,mode)?buildCommon.fontMap[font].
+variant:null};function isNumberPunctuation(group){if(!group)return!1;if(group.type==="mi"&&group.children.length===1){var child2=group.children[0];return child2 instanceof TextNode&&child2.text==="."}else if(group.type==="mo"&&group.children.length===1&&group.getAttribute("separator")==="true"&&group.getAttribute("lspace")==="0em"&&group.getAttribute("rspace")==="0em"){var _child=group.children[0];return _child instanceof TextNode&&_child.text===","}else return!1}var buildExpression2=function(expression,options,isOrdgroup){
+if(expression.length===1){var group=buildGroup2(expression[0],options);return isOrdgroup&&group instanceof MathNode&&group.type==="mo"&&(group.setAttribute("lspace","0em"),group.setAttribute("rspace","0em")),[group]}for(var groups=[],lastGroup,i=0;i<expression.length;i++){var _group=buildGroup2(expression[i],options);if(_group instanceof MathNode&&lastGroup instanceof MathNode){if(_group.type==="mtext"&&lastGroup.type==="mtext"&&_group.getAttribute("mathvariant")===lastGroup.getAttribute("mathva\
+riant")){lastGroup.children.push(..._group.children);continue}else if(_group.type==="mn"&&lastGroup.type==="mn"){lastGroup.children.push(..._group.children);continue}else if(isNumberPunctuation(_group)&&lastGroup.type==="mn"){lastGroup.children.push(..._group.children);continue}else if(_group.type==="mn"&&isNumberPunctuation(lastGroup))_group.children=[...lastGroup.children,..._group.children],groups.pop();else if((_group.type==="msup"||_group.type==="msub")&&_group.children.length>=1&&(lastGroup.
+type==="mn"||isNumberPunctuation(lastGroup))){var base2=_group.children[0];base2 instanceof MathNode&&base2.type==="mn"&&(base2.children=[...lastGroup.children,...base2.children],groups.pop())}else if(lastGroup.type==="mi"&&lastGroup.children.length===1){var lastChild=lastGroup.children[0];if(lastChild instanceof TextNode&&lastChild.text==="̸"&&(_group.type==="mo"||_group.type==="mi"||_group.type==="mn")){var child2=_group.children[0];child2 instanceof TextNode&&child2.text.length>0&&(child2.text=
+child2.text.slice(0,1)+"̸"+child2.text.slice(1),groups.pop())}}}groups.push(_group),lastGroup=_group}return groups},buildExpressionRow=function(expression,options,isOrdgroup){return makeRow(buildExpression2(expression,options,isOrdgroup))},buildGroup2=function(group,options){if(!group)return new mathMLTree.MathNode("mrow");if(_mathmlGroupBuilders[group.type]){var result=_mathmlGroupBuilders[group.type](group,options);return result}else throw new ParseError2("Got group of unknown type: '"+group.
+type+"'")};function buildMathML(tree,texExpression,options,isDisplayMode,forMathmlOnly){var expression=buildExpression2(tree,options),wrapper;expression.length===1&&expression[0]instanceof MathNode&&utils.contains(["mrow","mtable"],expression[0].type)?wrapper=expression[0]:wrapper=new mathMLTree.MathNode("mrow",expression);var annotation=new mathMLTree.MathNode("annotation",[new mathMLTree.TextNode(texExpression)]);annotation.setAttribute("encoding","application/x-tex");var semantics=new mathMLTree.
+MathNode("semantics",[wrapper,annotation]),math2=new mathMLTree.MathNode("math",[semantics]);math2.setAttribute("xmlns","http://www.w3.org/1998/Math/MathML"),isDisplayMode&&math2.setAttribute("display","block");var wrapperClass=forMathmlOnly?"katex":"katex-mathml";return buildCommon.makeSpan([wrapperClass],[math2])}var optionsFromSettings=function(settings){return new Options({style:settings.displayMode?Style$1.DISPLAY:Style$1.TEXT,maxSize:settings.maxSize,minRuleThickness:settings.minRuleThickness})},
+displayWrap=function(node2,settings){if(settings.displayMode){var classes=["katex-display"];settings.leqno&&classes.push("leqno"),settings.fleqn&&classes.push("fleqn"),node2=buildCommon.makeSpan(classes,[node2])}return node2},buildTree=function(tree,expression,settings){var options=optionsFromSettings(settings),katexNode;if(settings.output==="mathml")return buildMathML(tree,expression,options,settings.displayMode,!0);if(settings.output==="html"){var htmlNode=buildHTML(tree,options);katexNode=buildCommon.
+makeSpan(["katex"],[htmlNode])}else{var mathMLNode=buildMathML(tree,expression,options,settings.displayMode,!1),_htmlNode=buildHTML(tree,options);katexNode=buildCommon.makeSpan(["katex"],[mathMLNode,_htmlNode])}return displayWrap(katexNode,settings)},buildHTMLTree=function(tree,expression,settings){var options=optionsFromSettings(settings),htmlNode=buildHTML(tree,options),katexNode=buildCommon.makeSpan(["katex"],[htmlNode]);return displayWrap(katexNode,settings)},stretchyCodePoint={widehat:"^",widecheck:"\
+ˇ",widetilde:"~",utilde:"~",overleftarrow:"←",underleftarrow:"←",xleftarrow:"←",overrightarrow:"→",underrightarrow:"→",xrightarrow:"→",underbrace:"⏟",overbrace:"⏞",overgroup:"⏠",undergroup:"⏡",overleftrightarrow:"↔",underleftrightarrow:"↔",xleftrightarrow:"↔",Overrightarrow:"⇒",xRightarrow:"⇒",overleftharpoon:"↼",xleftharpoonup:"↼",overrightharpoon:"⇀",xrightharpoonup:"⇀",xLeftarrow:"⇐",xLeftrightarrow:"⇔",xhookleftarrow:"↩",xhookrightarrow:"↪",xmapsto:"\
+↦",xrightharpoondown:"⇁",xleftharpoondown:"↽",xrightleftharpoons:"⇌",xleftrightharpoons:"⇋",xtwoheadleftarrow:"↞",xtwoheadrightarrow:"↠",xlongequal:"=",xtofrom:"⇄",xrightleftarrows:"⇄",xrightequilibrium:"⇌",xleftequilibrium:"⇋","\\cdrightarrow":"→","\\cdleftarrow":"←","\\cdlongequal":"="},mathMLnode=function(label){var node2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(stretchyCodePoint[label.replace(/^\\/,"")])]);return node2.setAttribute("stretchy","true"),node2},
+katexImagesData={overrightarrow:[["rightarrow"],.888,522,"xMaxYMin"],overleftarrow:[["leftarrow"],.888,522,"xMinYMin"],underrightarrow:[["rightarrow"],.888,522,"xMaxYMin"],underleftarrow:[["leftarrow"],.888,522,"xMinYMin"],xrightarrow:[["rightarrow"],1.469,522,"xMaxYMin"],"\\cdrightarrow":[["rightarrow"],3,522,"xMaxYMin"],xleftarrow:[["leftarrow"],1.469,522,"xMinYMin"],"\\cdleftarrow":[["leftarrow"],3,522,"xMinYMin"],Overrightarrow:[["doublerightarrow"],.888,560,"xMaxYMin"],xRightarrow:[["double\
+rightarrow"],1.526,560,"xMaxYMin"],xLeftarrow:[["doubleleftarrow"],1.526,560,"xMinYMin"],overleftharpoon:[["leftharpoon"],.888,522,"xMinYMin"],xleftharpoonup:[["leftharpoon"],.888,522,"xMinYMin"],xleftharpoondown:[["leftharpoondown"],.888,522,"xMinYMin"],overrightharpoon:[["rightharpoon"],.888,522,"xMaxYMin"],xrightharpoonup:[["rightharpoon"],.888,522,"xMaxYMin"],xrightharpoondown:[["rightharpoondown"],.888,522,"xMaxYMin"],xlongequal:[["longequal"],.888,334,"xMinYMin"],"\\cdlongequal":[["longequ\
+al"],3,334,"xMinYMin"],xtwoheadleftarrow:[["twoheadleftarrow"],.888,334,"xMinYMin"],xtwoheadrightarrow:[["twoheadrightarrow"],.888,334,"xMaxYMin"],overleftrightarrow:[["leftarrow","rightarrow"],.888,522],overbrace:[["leftbrace","midbrace","rightbrace"],1.6,548],underbrace:[["leftbraceunder","midbraceunder","rightbraceunder"],1.6,548],underleftrightarrow:[["leftarrow","rightarrow"],.888,522],xleftrightarrow:[["leftarrow","rightarrow"],1.75,522],xLeftrightarrow:[["doubleleftarrow","doublerightarro\
+w"],1.75,560],xrightleftharpoons:[["leftharpoondownplus","rightharpoonplus"],1.75,716],xleftrightharpoons:[["leftharpoonplus","rightharpoondownplus"],1.75,716],xhookleftarrow:[["leftarrow","righthook"],1.08,522],xhookrightarrow:[["lefthook","rightarrow"],1.08,522],overlinesegment:[["leftlinesegment","rightlinesegment"],.888,522],underlinesegment:[["leftlinesegment","rightlinesegment"],.888,522],overgroup:[["leftgroup","rightgroup"],.888,342],undergroup:[["leftgroupunder","rightgroupunder"],.888,
+342],xmapsto:[["leftmapsto","rightarrow"],1.5,522],xtofrom:[["leftToFrom","rightToFrom"],1.75,528],xrightleftarrows:[["baraboveleftarrow","rightarrowabovebar"],1.75,901],xrightequilibrium:[["baraboveshortleftharpoon","rightharpoonaboveshortbar"],1.75,716],xleftequilibrium:[["shortbaraboveleftharpoon","shortrightharpoonabovebar"],1.75,716]},groupLength=function(arg){return arg.type==="ordgroup"?arg.body.length:1},svgSpan=function(group,options){function buildSvgSpan_(){var viewBoxWidth=4e5,label=group.
+label.slice(1);if(utils.contains(["widehat","widecheck","widetilde","utilde"],label)){var grp=group,numChars=groupLength(grp.base),viewBoxHeight,pathName,_height;if(numChars>5)label==="widehat"||label==="widecheck"?(viewBoxHeight=420,viewBoxWidth=2364,_height=.42,pathName=label+"4"):(viewBoxHeight=312,viewBoxWidth=2340,_height=.34,pathName="tilde4");else{var imgIndex=[1,1,2,2,3,3][numChars];label==="widehat"||label==="widecheck"?(viewBoxWidth=[0,1062,2364,2364,2364][imgIndex],viewBoxHeight=[0,239,
+300,360,420][imgIndex],_height=[0,.24,.3,.3,.36,.42][imgIndex],pathName=label+imgIndex):(viewBoxWidth=[0,600,1033,2339,2340][imgIndex],viewBoxHeight=[0,260,286,306,312][imgIndex],_height=[0,.26,.286,.3,.306,.34][imgIndex],pathName="tilde"+imgIndex)}var path2=new PathNode(pathName),svgNode=new SvgNode([path2],{width:"100%",height:makeEm(_height),viewBox:"0 0 "+viewBoxWidth+" "+viewBoxHeight,preserveAspectRatio:"none"});return{span:buildCommon.makeSvgSpan([],[svgNode],options),minWidth:0,height:_height}}else{
+var spans=[],data=katexImagesData[label],[paths,_minWidth,_viewBoxHeight]=data,_height2=_viewBoxHeight/1e3,numSvgChildren=paths.length,widthClasses,aligns;if(numSvgChildren===1){var align1=data[3];widthClasses=["hide-tail"],aligns=[align1]}else if(numSvgChildren===2)widthClasses=["halfarrow-left","halfarrow-right"],aligns=["xMinYMin","xMaxYMin"];else if(numSvgChildren===3)widthClasses=["brace-left","brace-center","brace-right"],aligns=["xMinYMin","xMidYMin","xMaxYMin"];else throw new Error(`Corr\
+ect katexImagesData or update code here to support
+                    `+numSvgChildren+" children.");for(var i=0;i<numSvgChildren;i++){var _path=new PathNode(paths[i]),_svgNode=new SvgNode([_path],{width:"400em",height:makeEm(_height2),viewBox:"0 0 "+viewBoxWidth+" "+_viewBoxHeight,preserveAspectRatio:aligns[i]+" slice"}),_span=buildCommon.makeSvgSpan([widthClasses[i]],[_svgNode],options);if(numSvgChildren===1)return{span:_span,minWidth:_minWidth,height:_height2};_span.style.height=makeEm(_height2),spans.push(_span)}return{span:buildCommon.makeSpan(
+["stretchy"],spans,options),minWidth:_minWidth,height:_height2}}}var{span,minWidth,height}=buildSvgSpan_();return span.height=height,span.style.height=makeEm(height),minWidth>0&&(span.style.minWidth=makeEm(minWidth)),span},encloseSpan=function(inner2,label,topPad,bottomPad,options){var img,totalHeight=inner2.height+inner2.depth+topPad+bottomPad;if(/fbox|color|angl/.test(label)){if(img=buildCommon.makeSpan(["stretchy",label],[],options),label==="fbox"){var color=options.color&&options.getColor();
+color&&(img.style.borderColor=color)}}else{var lines=[];/^[bx]cancel$/.test(label)&&lines.push(new LineNode({x1:"0",y1:"0",x2:"100%",y2:"100%","stroke-width":"0.046em"})),/^x?cancel$/.test(label)&&lines.push(new LineNode({x1:"0",y1:"100%",x2:"100%",y2:"0","stroke-width":"0.046em"}));var svgNode=new SvgNode(lines,{width:"100%",height:makeEm(totalHeight)});img=buildCommon.makeSvgSpan([],[svgNode],options)}return img.height=totalHeight,img.style.height=makeEm(totalHeight),img},stretchy={encloseSpan,
+mathMLnode,svgSpan};function assertNodeType(node2,type2){if(!node2||node2.type!==type2)throw new Error("Expected node of type "+type2+", but got "+(node2?"node of type "+node2.type:String(node2)));return node2}function assertSymbolNodeType(node2){var typedNode=checkSymbolNodeType(node2);if(!typedNode)throw new Error("Expected node of symbol group type, but got "+(node2?"node of type "+node2.type:String(node2)));return typedNode}function checkSymbolNodeType(node2){return node2&&(node2.type==="ato\
+m"||NON_ATOMS.hasOwnProperty(node2.type))?node2:null}var htmlBuilder$a=(grp,options)=>{var base2,group,supSubGroup;grp&&grp.type==="supsub"?(group=assertNodeType(grp.base,"accent"),base2=group.base,grp.base=base2,supSubGroup=assertSpan(buildGroup$1(grp,options)),grp.base=group):(group=assertNodeType(grp,"accent"),base2=group.base);var body2=buildGroup$1(base2,options.havingCrampedStyle()),mustShift=group.isShifty&&utils.isCharacterBox(base2),skew=0;if(mustShift){var baseChar=utils.getBaseElem(base2),
+baseGroup=buildGroup$1(baseChar,options.havingCrampedStyle());skew=assertSymbolDomNode(baseGroup).skew}var accentBelow=group.label==="\\c",clearance=accentBelow?body2.height+body2.depth:Math.min(body2.height,options.fontMetrics().xHeight),accentBody;if(group.isStretchy)accentBody=stretchy.svgSpan(group,options),accentBody=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"elem",elem:accentBody,wrapperClasses:["svg-align"],wrapperStyle:skew>0?{width:"cal\
+c(100% - "+makeEm(2*skew)+")",marginLeft:makeEm(2*skew)}:void 0}]},options);else{var accent2,width;group.label==="\\vec"?(accent2=buildCommon.staticSvg("vec",options),width=buildCommon.svgData.vec[1]):(accent2=buildCommon.makeOrd({mode:group.mode,text:group.label},options,"textord"),accent2=assertSymbolDomNode(accent2),accent2.italic=0,width=accent2.width,accentBelow&&(clearance+=accent2.depth)),accentBody=buildCommon.makeSpan(["accent-body"],[accent2]);var accentFull=group.label==="\\textcircled";
+accentFull&&(accentBody.classes.push("accent-full"),clearance=body2.height);var left=skew;accentFull||(left-=width/2),accentBody.style.left=makeEm(left),group.label==="\\textcircled"&&(accentBody.style.top=".2em"),accentBody=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"kern",size:-clearance},{type:"elem",elem:accentBody}]},options)}var accentWrap=buildCommon.makeSpan(["mord","accent"],[accentBody],options);return supSubGroup?(supSubGroup.children[0]=
+accentWrap,supSubGroup.height=Math.max(accentWrap.height,supSubGroup.height),supSubGroup.classes[0]="mord",supSubGroup):accentWrap},mathmlBuilder$9=(group,options)=>{var accentNode=group.isStretchy?stretchy.mathMLnode(group.label):new mathMLTree.MathNode("mo",[makeText(group.label,group.mode)]),node2=new mathMLTree.MathNode("mover",[buildGroup2(group.base,options),accentNode]);return node2.setAttribute("accent","true"),node2},NON_STRETCHY_ACCENT_REGEX=new RegExp(["\\acute","\\grave","\\ddot","\\t\
+ilde","\\bar","\\breve","\\check","\\hat","\\vec","\\dot","\\mathring"].map(accent2=>"\\"+accent2).join("|"));defineFunction({type:"accent",names:["\\acute","\\grave","\\ddot","\\tilde","\\bar","\\breve","\\check","\\hat","\\vec","\\dot","\\mathring","\\widecheck","\\widehat","\\widetilde","\\overrightarrow","\\overleftarrow","\\Overrightarrow","\\overleftrightarrow","\\overgroup","\\overlinesegment","\\overleftharpoon","\\overrightharpoon"],props:{numArgs:1},handler:(context,args)=>{var base2=normalizeArgument(
+args[0]),isStretchy=!NON_STRETCHY_ACCENT_REGEX.test(context.funcName),isShifty=!isStretchy||context.funcName==="\\widehat"||context.funcName==="\\widetilde"||context.funcName==="\\widecheck";return{type:"accent",mode:context.parser.mode,label:context.funcName,isStretchy,isShifty,base:base2}},htmlBuilder:htmlBuilder$a,mathmlBuilder:mathmlBuilder$9});defineFunction({type:"accent",names:["\\'","\\`","\\^","\\~","\\=","\\u","\\.",'\\"',"\\c","\\r","\\H","\\v","\\textcircled"],props:{numArgs:1,allowedInText:!0,
+allowedInMath:!0,argTypes:["primitive"]},handler:(context,args)=>{var base2=args[0],mode=context.parser.mode;return mode==="math"&&(context.parser.settings.reportNonstrict("mathVsTextAccents","LaTeX's accent "+context.funcName+" works only in text mode"),mode="text"),{type:"accent",mode,label:context.funcName,isStretchy:!1,isShifty:!0,base:base2}},htmlBuilder:htmlBuilder$a,mathmlBuilder:mathmlBuilder$9});defineFunction({type:"accentUnder",names:["\\underleftarrow","\\underrightarrow","\\underleft\
+rightarrow","\\undergroup","\\underlinesegment","\\utilde"],props:{numArgs:1},handler:(_ref,args)=>{var{parser,funcName}=_ref,base2=args[0];return{type:"accentUnder",mode:parser.mode,label:funcName,base:base2}},htmlBuilder:(group,options)=>{var innerGroup=buildGroup$1(group.base,options),accentBody=stretchy.svgSpan(group,options),kern=group.label==="\\utilde"?.12:0,vlist=buildCommon.makeVList({positionType:"top",positionData:innerGroup.height,children:[{type:"elem",elem:accentBody,wrapperClasses:[
+"svg-align"]},{type:"kern",size:kern},{type:"elem",elem:innerGroup}]},options);return buildCommon.makeSpan(["mord","accentunder"],[vlist],options)},mathmlBuilder:(group,options)=>{var accentNode=stretchy.mathMLnode(group.label),node2=new mathMLTree.MathNode("munder",[buildGroup2(group.base,options),accentNode]);return node2.setAttribute("accentunder","true"),node2}});var paddedNode=group=>{var node2=new mathMLTree.MathNode("mpadded",group?[group]:[]);return node2.setAttribute("width","+0.6em"),node2.
+setAttribute("lspace","0.3em"),node2};defineFunction({type:"xArrow",names:["\\xleftarrow","\\xrightarrow","\\xLeftarrow","\\xRightarrow","\\xleftrightarrow","\\xLeftrightarrow","\\xhookleftarrow","\\xhookrightarrow","\\xmapsto","\\xrightharpoondown","\\xrightharpoonup","\\xleftharpoondown","\\xleftharpoonup","\\xrightleftharpoons","\\xleftrightharpoons","\\xlongequal","\\xtwoheadrightarrow","\\xtwoheadleftarrow","\\xtofrom","\\xrightleftarrows","\\xrightequilibrium","\\xleftequilibrium","\\\\cdrig\
+htarrow","\\\\cdleftarrow","\\\\cdlongequal"],props:{numArgs:1,numOptionalArgs:1},handler(_ref,args,optArgs){var{parser,funcName}=_ref;return{type:"xArrow",mode:parser.mode,label:funcName,body:args[0],below:optArgs[0]}},htmlBuilder(group,options){var style2=options.style,newOptions=options.havingStyle(style2.sup()),upperGroup=buildCommon.wrapFragment(buildGroup$1(group.body,newOptions,options),options),arrowPrefix=group.label.slice(0,2)==="\\x"?"x":"cd";upperGroup.classes.push(arrowPrefix+"-arro\
+w-pad");var lowerGroup;group.below&&(newOptions=options.havingStyle(style2.sub()),lowerGroup=buildCommon.wrapFragment(buildGroup$1(group.below,newOptions,options),options),lowerGroup.classes.push(arrowPrefix+"-arrow-pad"));var arrowBody=stretchy.svgSpan(group,options),arrowShift=-options.fontMetrics().axisHeight+.5*arrowBody.height,upperShift=-options.fontMetrics().axisHeight-.5*arrowBody.height-.111;(upperGroup.depth>.25||group.label==="\\xleftequilibrium")&&(upperShift-=upperGroup.depth);var vlist;
+if(lowerGroup){var lowerShift=-options.fontMetrics().axisHeight+lowerGroup.height+.5*arrowBody.height+.111;vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:upperGroup,shift:upperShift},{type:"elem",elem:arrowBody,shift:arrowShift},{type:"elem",elem:lowerGroup,shift:lowerShift}]},options)}else vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:upperGroup,shift:upperShift},{type:"elem",elem:arrowBody,shift:arrowShift}]},options);
+return vlist.children[0].children[0].children[1].classes.push("svg-align"),buildCommon.makeSpan(["mrel","x-arrow"],[vlist],options)},mathmlBuilder(group,options){var arrowNode=stretchy.mathMLnode(group.label);arrowNode.setAttribute("minsize",group.label.charAt(0)==="x"?"1.75em":"3.0em");var node2;if(group.body){var upperNode=paddedNode(buildGroup2(group.body,options));if(group.below){var lowerNode=paddedNode(buildGroup2(group.below,options));node2=new mathMLTree.MathNode("munderover",[arrowNode,
+lowerNode,upperNode])}else node2=new mathMLTree.MathNode("mover",[arrowNode,upperNode])}else if(group.below){var _lowerNode=paddedNode(buildGroup2(group.below,options));node2=new mathMLTree.MathNode("munder",[arrowNode,_lowerNode])}else node2=paddedNode(),node2=new mathMLTree.MathNode("mover",[arrowNode,node2]);return node2}});var makeSpan2=buildCommon.makeSpan;function htmlBuilder$9(group,options){var elements=buildExpression$1(group.body,options,!0);return makeSpan2([group.mclass],elements,options)}
+function mathmlBuilder$8(group,options){var node2,inner2=buildExpression2(group.body,options);return group.mclass==="minner"?node2=new mathMLTree.MathNode("mpadded",inner2):group.mclass==="mord"?group.isCharacterBox?(node2=inner2[0],node2.type="mi"):node2=new mathMLTree.MathNode("mi",inner2):(group.isCharacterBox?(node2=inner2[0],node2.type="mo"):node2=new mathMLTree.MathNode("mo",inner2),group.mclass==="mbin"?(node2.attributes.lspace="0.22em",node2.attributes.rspace="0.22em"):group.mclass==="mp\
+unct"?(node2.attributes.lspace="0em",node2.attributes.rspace="0.17em"):group.mclass==="mopen"||group.mclass==="mclose"?(node2.attributes.lspace="0em",node2.attributes.rspace="0em"):group.mclass==="minner"&&(node2.attributes.lspace="0.0556em",node2.attributes.width="+0.1111em")),node2}defineFunction({type:"mclass",names:["\\mathord","\\mathbin","\\mathrel","\\mathopen","\\mathclose","\\mathpunct","\\mathinner"],props:{numArgs:1,primitive:!0},handler(_ref,args){var{parser,funcName}=_ref,body2=args[0];
+return{type:"mclass",mode:parser.mode,mclass:"m"+funcName.slice(5),body:ordargument(body2),isCharacterBox:utils.isCharacterBox(body2)}},htmlBuilder:htmlBuilder$9,mathmlBuilder:mathmlBuilder$8});var binrelClass=arg=>{var atom=arg.type==="ordgroup"&&arg.body.length?arg.body[0]:arg;return atom.type==="atom"&&(atom.family==="bin"||atom.family==="rel")?"m"+atom.family:"mord"};defineFunction({type:"mclass",names:["\\@binrel"],props:{numArgs:2},handler(_ref2,args){var{parser}=_ref2;return{type:"mclass",
+mode:parser.mode,mclass:binrelClass(args[0]),body:ordargument(args[1]),isCharacterBox:utils.isCharacterBox(args[1])}}});defineFunction({type:"mclass",names:["\\stackrel","\\overset","\\underset"],props:{numArgs:2},handler(_ref3,args){var{parser,funcName}=_ref3,baseArg=args[1],shiftedArg=args[0],mclass;funcName!=="\\stackrel"?mclass=binrelClass(baseArg):mclass="mrel";var baseOp={type:"op",mode:baseArg.mode,limits:!0,alwaysHandleSupSub:!0,parentIsSupSub:!1,symbol:!1,suppressBaseShift:funcName!=="\\\
+stackrel",body:ordargument(baseArg)},supsub={type:"supsub",mode:shiftedArg.mode,base:baseOp,sup:funcName==="\\underset"?null:shiftedArg,sub:funcName==="\\underset"?shiftedArg:null};return{type:"mclass",mode:parser.mode,mclass,body:[supsub],isCharacterBox:utils.isCharacterBox(supsub)}},htmlBuilder:htmlBuilder$9,mathmlBuilder:mathmlBuilder$8});defineFunction({type:"pmb",names:["\\pmb"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){var{parser}=_ref;return{type:"pmb",mode:parser.mode,mclass:binrelClass(
+args[0]),body:ordargument(args[0])}},htmlBuilder(group,options){var elements=buildExpression$1(group.body,options,!0),node2=buildCommon.makeSpan([group.mclass],elements,options);return node2.style.textShadow="0.02em 0.01em 0.04px",node2},mathmlBuilder(group,style2){var inner2=buildExpression2(group.body,style2),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.setAttribute("style","text-shadow: 0.02em 0.01em 0.04px"),node2}});var cdArrowFunctionName={">":"\\\\cdrightarrow","<":"\\\\cdlef\
+tarrow","=":"\\\\cdlongequal",A:"\\uparrow",V:"\\downarrow","|":"\\Vert",".":"no arrow"},newCell=()=>({type:"styling",body:[],mode:"math",style:"display"}),isStartOfArrow=node2=>node2.type==="textord"&&node2.text==="@",isLabelEnd=(node2,endChar)=>(node2.type==="mathord"||node2.type==="atom")&&node2.text===endChar;function cdArrow(arrowChar,labels,parser){var funcName=cdArrowFunctionName[arrowChar];switch(funcName){case"\\\\cdrightarrow":case"\\\\cdleftarrow":return parser.callFunction(funcName,[
+labels[0]],[labels[1]]);case"\\uparrow":case"\\downarrow":{var leftLabel=parser.callFunction("\\\\cdleft",[labels[0]],[]),bareArrow={type:"atom",text:funcName,mode:"math",family:"rel"},sizedArrow=parser.callFunction("\\Big",[bareArrow],[]),rightLabel=parser.callFunction("\\\\cdright",[labels[1]],[]),arrowGroup={type:"ordgroup",mode:"math",body:[leftLabel,sizedArrow,rightLabel]};return parser.callFunction("\\\\cdparent",[arrowGroup],[])}case"\\\\cdlongequal":return parser.callFunction("\\\\cdlongeq\
+ual",[],[]);case"\\Vert":{var arrow2={type:"textord",text:"\\Vert",mode:"math"};return parser.callFunction("\\Big",[arrow2],[])}default:return{type:"textord",text:" ",mode:"math"}}}function parseCD(parser){var parsedRows=[];for(parser.gullet.beginGroup(),parser.gullet.macros.set("\\cr","\\\\\\relax"),parser.gullet.beginGroup();;){parsedRows.push(parser.parseExpression(!1,"\\\\")),parser.gullet.endGroup(),parser.gullet.beginGroup();var next2=parser.fetch().text;if(next2==="&"||next2==="\\\\")parser.
+consume();else if(next2==="\\end"){parsedRows[parsedRows.length-1].length===0&&parsedRows.pop();break}else throw new ParseError2("Expected \\\\ or \\cr or \\end",parser.nextToken)}for(var row2=[],body2=[row2],i=0;i<parsedRows.length;i++){for(var rowNodes=parsedRows[i],cell2=newCell(),j=0;j<rowNodes.length;j++)if(!isStartOfArrow(rowNodes[j]))cell2.body.push(rowNodes[j]);else{row2.push(cell2),j+=1;var arrowChar=assertSymbolNodeType(rowNodes[j]).text,labels=new Array(2);if(labels[0]={type:"ordgroup",
+mode:"math",body:[]},labels[1]={type:"ordgroup",mode:"math",body:[]},!("=|.".indexOf(arrowChar)>-1))if("<>AV".indexOf(arrowChar)>-1)for(var labelNum=0;labelNum<2;labelNum++){for(var inLabel=!0,k=j+1;k<rowNodes.length;k++){if(isLabelEnd(rowNodes[k],arrowChar)){inLabel=!1,j=k;break}if(isStartOfArrow(rowNodes[k]))throw new ParseError2("Missing a "+arrowChar+" character to complete a CD arrow.",rowNodes[k]);labels[labelNum].body.push(rowNodes[k])}if(inLabel)throw new ParseError2("Missing a "+arrowChar+
+" character to complete a CD arrow.",rowNodes[j])}else throw new ParseError2('Expected one of "<>AV=|." after @',rowNodes[j]);var arrow2=cdArrow(arrowChar,labels,parser),wrappedArrow={type:"styling",body:[arrow2],mode:"math",style:"display"};row2.push(wrappedArrow),cell2=newCell()}i%2===0?row2.push(cell2):row2.shift(),row2=[],body2.push(row2)}parser.gullet.endGroup(),parser.gullet.endGroup();var cols=new Array(body2[0].length).fill({type:"align",align:"c",pregap:.25,postgap:.25});return{type:"ar\
+ray",mode:"math",body:body2,arraystretch:1,addJot:!0,rowGaps:[null],cols,colSeparationType:"CD",hLinesBeforeRow:new Array(body2.length+1).fill([])}}defineFunction({type:"cdlabel",names:["\\\\cdleft","\\\\cdright"],props:{numArgs:1},handler(_ref,args){var{parser,funcName}=_ref;return{type:"cdlabel",mode:parser.mode,side:funcName.slice(4),label:args[0]}},htmlBuilder(group,options){var newOptions=options.havingStyle(options.style.sup()),label=buildCommon.wrapFragment(buildGroup$1(group.label,newOptions,
+options),options);return label.classes.push("cd-label-"+group.side),label.style.bottom=makeEm(.8-label.depth),label.height=0,label.depth=0,label},mathmlBuilder(group,options){var label=new mathMLTree.MathNode("mrow",[buildGroup2(group.label,options)]);return label=new mathMLTree.MathNode("mpadded",[label]),label.setAttribute("width","0"),group.side==="left"&&label.setAttribute("lspace","-1width"),label.setAttribute("voffset","0.7em"),label=new mathMLTree.MathNode("mstyle",[label]),label.setAttribute(
+"displaystyle","false"),label.setAttribute("scriptlevel","1"),label}});defineFunction({type:"cdlabelparent",names:["\\\\cdparent"],props:{numArgs:1},handler(_ref2,args){var{parser}=_ref2;return{type:"cdlabelparent",mode:parser.mode,fragment:args[0]}},htmlBuilder(group,options){var parent=buildCommon.wrapFragment(buildGroup$1(group.fragment,options),options);return parent.classes.push("cd-vert-arrow"),parent},mathmlBuilder(group,options){return new mathMLTree.MathNode("mrow",[buildGroup2(group.fragment,
+options)])}});defineFunction({type:"textord",names:["\\@char"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){for(var{parser}=_ref,arg=assertNodeType(args[0],"ordgroup"),group=arg.body,number2="",i=0;i<group.length;i++){var node2=assertNodeType(group[i],"textord");number2+=node2.text}var code2=parseInt(number2),text2;if(isNaN(code2))throw new ParseError2("\\@char has non-numeric argument "+number2);if(code2<0||code2>=1114111)throw new ParseError2("\\@char with invalid code point "+number2);
+return code2<=65535?text2=String.fromCharCode(code2):(code2-=65536,text2=String.fromCharCode((code2>>10)+55296,(code2&1023)+56320)),{type:"textord",mode:parser.mode,text:text2}}});var htmlBuilder$8=(group,options)=>{var elements=buildExpression$1(group.body,options.withColor(group.color),!1);return buildCommon.makeFragment(elements)},mathmlBuilder$7=(group,options)=>{var inner2=buildExpression2(group.body,options.withColor(group.color)),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.
+setAttribute("mathcolor",group.color),node2};defineFunction({type:"color",names:["\\textcolor"],props:{numArgs:2,allowedInText:!0,argTypes:["color","original"]},handler(_ref,args){var{parser}=_ref,color=assertNodeType(args[0],"color-token").color,body2=args[1];return{type:"color",mode:parser.mode,color,body:ordargument(body2)}},htmlBuilder:htmlBuilder$8,mathmlBuilder:mathmlBuilder$7});defineFunction({type:"color",names:["\\color"],props:{numArgs:1,allowedInText:!0,argTypes:["color"]},handler(_ref2,args){
+var{parser,breakOnTokenText}=_ref2,color=assertNodeType(args[0],"color-token").color;parser.gullet.macros.set("\\current@color",color);var body2=parser.parseExpression(!0,breakOnTokenText);return{type:"color",mode:parser.mode,color,body:body2}},htmlBuilder:htmlBuilder$8,mathmlBuilder:mathmlBuilder$7});defineFunction({type:"cr",names:["\\\\"],props:{numArgs:0,numOptionalArgs:0,allowedInText:!0},handler(_ref,args,optArgs){var{parser}=_ref,size2=parser.gullet.future().text==="["?parser.parseSizeGroup(
+!0):null,newLine=!parser.settings.displayMode||!parser.settings.useStrictBehavior("newLineInDisplayMode","In LaTeX, \\\\ or \\newline does nothing in display mode");return{type:"cr",mode:parser.mode,newLine,size:size2&&assertNodeType(size2,"size").value}},htmlBuilder(group,options){var span=buildCommon.makeSpan(["mspace"],[],options);return group.newLine&&(span.classes.push("newline"),group.size&&(span.style.marginTop=makeEm(calculateSize(group.size,options)))),span},mathmlBuilder(group,options){
+var node2=new mathMLTree.MathNode("mspace");return group.newLine&&(node2.setAttribute("linebreak","newline"),group.size&&node2.setAttribute("height",makeEm(calculateSize(group.size,options)))),node2}});var globalMap={"\\global":"\\global","\\long":"\\\\globallong","\\\\globallong":"\\\\globallong","\\def":"\\gdef","\\gdef":"\\gdef","\\edef":"\\xdef","\\xdef":"\\xdef","\\let":"\\\\globallet","\\futurelet":"\\\\globalfuture"},checkControlSequence=tok=>{var name=tok.text;if(/^(?:[\\{}$&#^_]|EOF)$/.
+test(name))throw new ParseError2("Expected a control sequence",tok);return name},getRHS=parser=>{var tok=parser.gullet.popToken();return tok.text==="="&&(tok=parser.gullet.popToken(),tok.text===" "&&(tok=parser.gullet.popToken())),tok},letCommand=(parser,name,tok,global2)=>{var macro=parser.gullet.macros.get(tok.text);macro==null&&(tok.noexpand=!0,macro={tokens:[tok],numArgs:0,unexpandable:!parser.gullet.isExpandable(tok.text)}),parser.gullet.macros.set(name,macro,global2)};defineFunction({type:"\
+internal",names:["\\global","\\long","\\\\globallong"],props:{numArgs:0,allowedInText:!0},handler(_ref){var{parser,funcName}=_ref;parser.consumeSpaces();var token2=parser.fetch();if(globalMap[token2.text])return(funcName==="\\global"||funcName==="\\\\globallong")&&(token2.text=globalMap[token2.text]),assertNodeType(parser.parseFunction(),"internal");throw new ParseError2("Invalid token after macro prefix",token2)}});defineFunction({type:"internal",names:["\\def","\\gdef","\\edef","\\xdef"],props:{
+numArgs:0,allowedInText:!0,primitive:!0},handler(_ref2){var{parser,funcName}=_ref2,tok=parser.gullet.popToken(),name=tok.text;if(/^(?:[\\{}$&#^_]|EOF)$/.test(name))throw new ParseError2("Expected a control sequence",tok);for(var numArgs=0,insert,delimiters2=[[]];parser.gullet.future().text!=="{";)if(tok=parser.gullet.popToken(),tok.text==="#"){if(parser.gullet.future().text==="{"){insert=parser.gullet.future(),delimiters2[numArgs].push("{");break}if(tok=parser.gullet.popToken(),!/^[1-9]$/.test(tok.
+text))throw new ParseError2('Invalid argument number "'+tok.text+'"');if(parseInt(tok.text)!==numArgs+1)throw new ParseError2('Argument number "'+tok.text+'" out of order');numArgs++,delimiters2.push([])}else{if(tok.text==="EOF")throw new ParseError2("Expected a macro definition");delimiters2[numArgs].push(tok.text)}var{tokens}=parser.gullet.consumeArg();return insert&&tokens.unshift(insert),(funcName==="\\edef"||funcName==="\\xdef")&&(tokens=parser.gullet.expandTokens(tokens),tokens.reverse()),
+parser.gullet.macros.set(name,{tokens,numArgs,delimiters:delimiters2},funcName===globalMap[funcName]),{type:"internal",mode:parser.mode}}});defineFunction({type:"internal",names:["\\let","\\\\globallet"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref3){var{parser,funcName}=_ref3,name=checkControlSequence(parser.gullet.popToken());parser.gullet.consumeSpaces();var tok=getRHS(parser);return letCommand(parser,name,tok,funcName==="\\\\globallet"),{type:"internal",mode:parser.mode}}});defineFunction(
+{type:"internal",names:["\\futurelet","\\\\globalfuture"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref4){var{parser,funcName}=_ref4,name=checkControlSequence(parser.gullet.popToken()),middle=parser.gullet.popToken(),tok=parser.gullet.popToken();return letCommand(parser,name,tok,funcName==="\\\\globalfuture"),parser.gullet.pushToken(tok),parser.gullet.pushToken(middle),{type:"internal",mode:parser.mode}}});var getMetrics=function(symbol,font,mode){var replace2=symbols.math[symbol]&&
+symbols.math[symbol].replace,metrics=getCharacterMetrics(replace2||symbol,font,mode);if(!metrics)throw new Error("Unsupported symbol "+symbol+" and font size "+font+".");return metrics},styleWrap=function(delim,toStyle,options,classes){var newOptions=options.havingBaseStyle(toStyle),span=buildCommon.makeSpan(classes.concat(newOptions.sizingClasses(options)),[delim],options),delimSizeMultiplier=newOptions.sizeMultiplier/options.sizeMultiplier;return span.height*=delimSizeMultiplier,span.depth*=delimSizeMultiplier,
+span.maxFontSize=newOptions.sizeMultiplier,span},centerSpan=function(span,options,style2){var newOptions=options.havingBaseStyle(style2),shift2=(1-options.sizeMultiplier/newOptions.sizeMultiplier)*options.fontMetrics().axisHeight;span.classes.push("delimcenter"),span.style.top=makeEm(shift2),span.height-=shift2,span.depth+=shift2},makeSmallDelim=function(delim,style2,center,options,mode,classes){var text2=buildCommon.makeSymbol(delim,"Main-Regular",mode,options),span=styleWrap(text2,style2,options,
+classes);return center&&centerSpan(span,options,style2),span},mathrmSize=function(value,size2,mode,options){return buildCommon.makeSymbol(value,"Size"+size2+"-Regular",mode,options)},makeLargeDelim=function(delim,size2,center,options,mode,classes){var inner2=mathrmSize(delim,size2,mode,options),span=styleWrap(buildCommon.makeSpan(["delimsizing","size"+size2],[inner2],options),Style$1.TEXT,options,classes);return center&&centerSpan(span,options,Style$1.TEXT),span},makeGlyphSpan=function(symbol,font,mode){
+var sizeClass;font==="Size1-Regular"?sizeClass="delim-size1":sizeClass="delim-size4";var corner=buildCommon.makeSpan(["delimsizinginner",sizeClass],[buildCommon.makeSpan([],[buildCommon.makeSymbol(symbol,font,mode)])]);return{type:"elem",elem:corner}},makeInner=function(ch,height,options){var width=fontMetricsData["Size4-Regular"][ch.charCodeAt(0)]?fontMetricsData["Size4-Regular"][ch.charCodeAt(0)][4]:fontMetricsData["Size1-Regular"][ch.charCodeAt(0)][4],path2=new PathNode("inner",innerPath(ch,Math.
+round(1e3*height))),svgNode=new SvgNode([path2],{width:makeEm(width),height:makeEm(height),style:"width:"+makeEm(width),viewBox:"0 0 "+1e3*width+" "+Math.round(1e3*height),preserveAspectRatio:"xMinYMin"}),span=buildCommon.makeSvgSpan([],[svgNode],options);return span.height=height,span.style.height=makeEm(height),span.style.width=makeEm(width),{type:"elem",elem:span}},lapInEms=.008,lap={type:"kern",size:-1*lapInEms},verts=["|","\\lvert","\\rvert","\\vert"],doubleVerts=["\\|","\\lVert","\\rVert",
+"\\Vert"],makeStackedDelim=function(delim,heightTotal,center,options,mode,classes){var top,middle,repeat,bottom,svgLabel="",viewBoxWidth=0;top=repeat=bottom=delim,middle=null;var font="Size1-Regular";delim==="\\uparrow"?repeat=bottom="⏐":delim==="\\Uparrow"?repeat=bottom="‖":delim==="\\downarrow"?top=repeat="⏐":delim==="\\Downarrow"?top=repeat="‖":delim==="\\updownarrow"?(top="\\uparrow",repeat="⏐",bottom="\\downarrow"):delim==="\\Updownarrow"?(top="\\Uparrow",repeat="‖",bottom="\\Dow\
+narrow"):utils.contains(verts,delim)?(repeat="∣",svgLabel="vert",viewBoxWidth=333):utils.contains(doubleVerts,delim)?(repeat="∥",svgLabel="doublevert",viewBoxWidth=556):delim==="["||delim==="\\lbrack"?(top="⎡",repeat="⎢",bottom="⎣",font="Size4-Regular",svgLabel="lbrack",viewBoxWidth=667):delim==="]"||delim==="\\rbrack"?(top="⎤",repeat="⎥",bottom="⎦",font="Size4-Regular",svgLabel="rbrack",viewBoxWidth=667):delim==="\\lfloor"||delim==="⌊"?(repeat=top="⎢",bottom="⎣",font="Size\
+4-Regular",svgLabel="lfloor",viewBoxWidth=667):delim==="\\lceil"||delim==="⌈"?(top="⎡",repeat=bottom="⎢",font="Size4-Regular",svgLabel="lceil",viewBoxWidth=667):delim==="\\rfloor"||delim==="⌋"?(repeat=top="⎥",bottom="⎦",font="Size4-Regular",svgLabel="rfloor",viewBoxWidth=667):delim==="\\rceil"||delim==="⌉"?(top="⎤",repeat=bottom="⎥",font="Size4-Regular",svgLabel="rceil",viewBoxWidth=667):delim==="("||delim==="\\lparen"?(top="⎛",repeat="⎜",bottom="⎝",font="Size4-Regular",svgLabel=
+"lparen",viewBoxWidth=875):delim===")"||delim==="\\rparen"?(top="⎞",repeat="⎟",bottom="⎠",font="Size4-Regular",svgLabel="rparen",viewBoxWidth=875):delim==="\\{"||delim==="\\lbrace"?(top="⎧",middle="⎨",bottom="⎩",repeat="⎪",font="Size4-Regular"):delim==="\\}"||delim==="\\rbrace"?(top="⎫",middle="⎬",bottom="⎭",repeat="⎪",font="Size4-Regular"):delim==="\\lgroup"||delim==="⟮"?(top="⎧",bottom="⎩",repeat="⎪",font="Size4-Regular"):delim==="\\rgroup"||delim==="⟯"?(top="⎫",
+bottom="⎭",repeat="⎪",font="Size4-Regular"):delim==="\\lmoustache"||delim==="⎰"?(top="⎧",bottom="⎭",repeat="⎪",font="Size4-Regular"):(delim==="\\rmoustache"||delim==="⎱")&&(top="⎫",bottom="⎩",repeat="⎪",font="Size4-Regular");var topMetrics=getMetrics(top,font,mode),topHeightTotal=topMetrics.height+topMetrics.depth,repeatMetrics=getMetrics(repeat,font,mode),repeatHeightTotal=repeatMetrics.height+repeatMetrics.depth,bottomMetrics=getMetrics(bottom,font,mode),bottomHeightTotal=bottomMetrics.
+height+bottomMetrics.depth,middleHeightTotal=0,middleFactor=1;if(middle!==null){var middleMetrics=getMetrics(middle,font,mode);middleHeightTotal=middleMetrics.height+middleMetrics.depth,middleFactor=2}var minHeight=topHeightTotal+bottomHeightTotal+middleHeightTotal,repeatCount=Math.max(0,Math.ceil((heightTotal-minHeight)/(middleFactor*repeatHeightTotal))),realHeightTotal=minHeight+repeatCount*middleFactor*repeatHeightTotal,axisHeight=options.fontMetrics().axisHeight;center&&(axisHeight*=options.
+sizeMultiplier);var depth=realHeightTotal/2-axisHeight,stack=[];if(svgLabel.length>0){var midHeight=realHeightTotal-topHeightTotal-bottomHeightTotal,viewBoxHeight=Math.round(realHeightTotal*1e3),pathStr=tallDelim(svgLabel,Math.round(midHeight*1e3)),path2=new PathNode(svgLabel,pathStr),width=(viewBoxWidth/1e3).toFixed(3)+"em",height=(viewBoxHeight/1e3).toFixed(3)+"em",svg2=new SvgNode([path2],{width,height,viewBox:"0 0 "+viewBoxWidth+" "+viewBoxHeight}),wrapper=buildCommon.makeSvgSpan([],[svg2],options);
+wrapper.height=viewBoxHeight/1e3,wrapper.style.width=width,wrapper.style.height=height,stack.push({type:"elem",elem:wrapper})}else{if(stack.push(makeGlyphSpan(bottom,font,mode)),stack.push(lap),middle===null){var innerHeight=realHeightTotal-topHeightTotal-bottomHeightTotal+2*lapInEms;stack.push(makeInner(repeat,innerHeight,options))}else{var _innerHeight=(realHeightTotal-topHeightTotal-bottomHeightTotal-middleHeightTotal)/2+2*lapInEms;stack.push(makeInner(repeat,_innerHeight,options)),stack.push(
+lap),stack.push(makeGlyphSpan(middle,font,mode)),stack.push(lap),stack.push(makeInner(repeat,_innerHeight,options))}stack.push(lap),stack.push(makeGlyphSpan(top,font,mode))}var newOptions=options.havingBaseStyle(Style$1.TEXT),inner2=buildCommon.makeVList({positionType:"bottom",positionData:depth,children:stack},newOptions);return styleWrap(buildCommon.makeSpan(["delimsizing","mult"],[inner2],newOptions),Style$1.TEXT,options,classes)},vbPad=80,emPad=.08,sqrtSvg=function(sqrtName,height,viewBoxHeight,extraVinculum,options){
+var path2=sqrtPath(sqrtName,extraVinculum,viewBoxHeight),pathNode=new PathNode(sqrtName,path2),svg2=new SvgNode([pathNode],{width:"400em",height:makeEm(height),viewBox:"0 0 400000 "+viewBoxHeight,preserveAspectRatio:"xMinYMin slice"});return buildCommon.makeSvgSpan(["hide-tail"],[svg2],options)},makeSqrtImage=function(height,options){var newOptions=options.havingBaseSizing(),delim=traverseSequence("\\surd",height*newOptions.sizeMultiplier,stackLargeDelimiterSequence,newOptions),sizeMultiplier=newOptions.
+sizeMultiplier,extraVinculum=Math.max(0,options.minRuleThickness-options.fontMetrics().sqrtRuleThickness),span,spanHeight=0,texHeight=0,viewBoxHeight=0,advanceWidth;return delim.type==="small"?(viewBoxHeight=1e3+1e3*extraVinculum+vbPad,height<1?sizeMultiplier=1:height<1.4&&(sizeMultiplier=.7),spanHeight=(1+extraVinculum+emPad)/sizeMultiplier,texHeight=(1+extraVinculum)/sizeMultiplier,span=sqrtSvg("sqrtMain",spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="0.853em",advanceWidth=
+.833/sizeMultiplier):delim.type==="large"?(viewBoxHeight=(1e3+vbPad)*sizeToMaxHeight[delim.size],texHeight=(sizeToMaxHeight[delim.size]+extraVinculum)/sizeMultiplier,spanHeight=(sizeToMaxHeight[delim.size]+extraVinculum+emPad)/sizeMultiplier,span=sqrtSvg("sqrtSize"+delim.size,spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="1.02em",advanceWidth=1/sizeMultiplier):(spanHeight=height+extraVinculum+emPad,texHeight=height+extraVinculum,viewBoxHeight=Math.floor(1e3*height+extraVinculum)+
+vbPad,span=sqrtSvg("sqrtTall",spanHeight,viewBoxHeight,extraVinculum,options),span.style.minWidth="0.742em",advanceWidth=1.056),span.height=texHeight,span.style.height=makeEm(spanHeight),{span,advanceWidth,ruleWidth:(options.fontMetrics().sqrtRuleThickness+extraVinculum)*sizeMultiplier}},stackLargeDelimiters=["(","\\lparen",")","\\rparen","[","\\lbrack","]","\\rbrack","\\{","\\lbrace","\\}","\\rbrace","\\lfloor","\\rfloor","⌊","⌋","\\lceil","\\rceil","⌈","⌉","\\surd"],stackAlwaysDelimiters=[
+"\\uparrow","\\downarrow","\\updownarrow","\\Uparrow","\\Downarrow","\\Updownarrow","|","\\|","\\vert","\\Vert","\\lvert","\\rvert","\\lVert","\\rVert","\\lgroup","\\rgroup","⟮","⟯","\\lmoustache","\\rmoustache","⎰","⎱"],stackNeverDelimiters=["<",">","\\langle","\\rangle","/","\\backslash","\\lt","\\gt"],sizeToMaxHeight=[0,1.2,1.8,2.4,3],makeSizedDelim=function(delim,size2,options,mode,classes){if(delim==="<"||delim==="\\lt"||delim==="⟨"?delim="\\langle":(delim===">"||delim==="\\gt"||delim===
+"⟩")&&(delim="\\rangle"),utils.contains(stackLargeDelimiters,delim)||utils.contains(stackNeverDelimiters,delim))return makeLargeDelim(delim,size2,!1,options,mode,classes);if(utils.contains(stackAlwaysDelimiters,delim))return makeStackedDelim(delim,sizeToMaxHeight[size2],!1,options,mode,classes);throw new ParseError2("Illegal delimiter: '"+delim+"'")},stackNeverDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"\
+large",size:1},{type:"large",size:2},{type:"large",size:3},{type:"large",size:4}],stackAlwaysDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"stack"}],stackLargeDelimiterSequence=[{type:"small",style:Style$1.SCRIPTSCRIPT},{type:"small",style:Style$1.SCRIPT},{type:"small",style:Style$1.TEXT},{type:"large",size:1},{type:"large",size:2},{type:"large",size:3},{type:"large",size:4},{type:"stack"}],delimTypeToFont=function(type2){
+if(type2.type==="small")return"Main-Regular";if(type2.type==="large")return"Size"+type2.size+"-Regular";if(type2.type==="stack")return"Size4-Regular";throw new Error("Add support for delim type '"+type2.type+"' here.")},traverseSequence=function(delim,height,sequence,options){for(var start2=Math.min(2,3-options.style.size),i=start2;i<sequence.length&&sequence[i].type!=="stack";i++){var metrics=getMetrics(delim,delimTypeToFont(sequence[i]),"math"),heightDepth=metrics.height+metrics.depth;if(sequence[i].
+type==="small"){var newOptions=options.havingBaseStyle(sequence[i].style);heightDepth*=newOptions.sizeMultiplier}if(heightDepth>height)return sequence[i]}return sequence[sequence.length-1]},makeCustomSizedDelim=function(delim,height,center,options,mode,classes){delim==="<"||delim==="\\lt"||delim==="⟨"?delim="\\langle":(delim===">"||delim==="\\gt"||delim==="⟩")&&(delim="\\rangle");var sequence;utils.contains(stackNeverDelimiters,delim)?sequence=stackNeverDelimiterSequence:utils.contains(stackLargeDelimiters,
+delim)?sequence=stackLargeDelimiterSequence:sequence=stackAlwaysDelimiterSequence;var delimType=traverseSequence(delim,height,sequence,options);return delimType.type==="small"?makeSmallDelim(delim,delimType.style,center,options,mode,classes):delimType.type==="large"?makeLargeDelim(delim,delimType.size,center,options,mode,classes):makeStackedDelim(delim,height,center,options,mode,classes)},makeLeftRightDelim=function(delim,height,depth,options,mode,classes){var axisHeight=options.fontMetrics().axisHeight*
+options.sizeMultiplier,delimiterFactor=901,delimiterExtend=5/options.fontMetrics().ptPerEm,maxDistFromAxis=Math.max(height-axisHeight,depth+axisHeight),totalHeight=Math.max(maxDistFromAxis/500*delimiterFactor,2*maxDistFromAxis-delimiterExtend);return makeCustomSizedDelim(delim,totalHeight,!0,options,mode,classes)},delimiter={sqrtImage:makeSqrtImage,sizedDelim:makeSizedDelim,sizeToMaxHeight,customSizedDelim:makeCustomSizedDelim,leftRightDelim:makeLeftRightDelim},delimiterSizes={"\\bigl":{mclass:"\
+mopen",size:1},"\\Bigl":{mclass:"mopen",size:2},"\\biggl":{mclass:"mopen",size:3},"\\Biggl":{mclass:"mopen",size:4},"\\bigr":{mclass:"mclose",size:1},"\\Bigr":{mclass:"mclose",size:2},"\\biggr":{mclass:"mclose",size:3},"\\Biggr":{mclass:"mclose",size:4},"\\bigm":{mclass:"mrel",size:1},"\\Bigm":{mclass:"mrel",size:2},"\\biggm":{mclass:"mrel",size:3},"\\Biggm":{mclass:"mrel",size:4},"\\big":{mclass:"mord",size:1},"\\Big":{mclass:"mord",size:2},"\\bigg":{mclass:"mord",size:3},"\\Bigg":{mclass:"mord",
+size:4}},delimiters=["(","\\lparen",")","\\rparen","[","\\lbrack","]","\\rbrack","\\{","\\lbrace","\\}","\\rbrace","\\lfloor","\\rfloor","⌊","⌋","\\lceil","\\rceil","⌈","⌉","<",">","\\langle","⟨","\\rangle","⟩","\\lt","\\gt","\\lvert","\\rvert","\\lVert","\\rVert","\\lgroup","\\rgroup","⟮","⟯","\\lmoustache","\\rmoustache","⎰","⎱","/","\\backslash","|","\\vert","\\|","\\Vert","\\uparrow","\\Uparrow","\\downarrow","\\Downarrow","\\updownarrow","\\Updownarrow","."];function checkDelimiter(delim,context){
+var symDelim=checkSymbolNodeType(delim);if(symDelim&&utils.contains(delimiters,symDelim.text))return symDelim;throw symDelim?new ParseError2("Invalid delimiter '"+symDelim.text+"' after '"+context.funcName+"'",delim):new ParseError2("Invalid delimiter type '"+delim.type+"'",delim)}defineFunction({type:"delimsizing",names:["\\bigl","\\Bigl","\\biggl","\\Biggl","\\bigr","\\Bigr","\\biggr","\\Biggr","\\bigm","\\Bigm","\\biggm","\\Biggm","\\big","\\Big","\\bigg","\\Bigg"],props:{numArgs:1,argTypes:[
+"primitive"]},handler:(context,args)=>{var delim=checkDelimiter(args[0],context);return{type:"delimsizing",mode:context.parser.mode,size:delimiterSizes[context.funcName].size,mclass:delimiterSizes[context.funcName].mclass,delim:delim.text}},htmlBuilder:(group,options)=>group.delim==="."?buildCommon.makeSpan([group.mclass]):delimiter.sizedDelim(group.delim,group.size,options,group.mode,[group.mclass]),mathmlBuilder:group=>{var children=[];group.delim!=="."&&children.push(makeText(group.delim,group.
+mode));var node2=new mathMLTree.MathNode("mo",children);group.mclass==="mopen"||group.mclass==="mclose"?node2.setAttribute("fence","true"):node2.setAttribute("fence","false"),node2.setAttribute("stretchy","true");var size2=makeEm(delimiter.sizeToMaxHeight[group.size]);return node2.setAttribute("minsize",size2),node2.setAttribute("maxsize",size2),node2}});function assertParsed(group){if(!group.body)throw new Error("Bug: The leftright ParseNode wasn't fully parsed.")}defineFunction({type:"leftrigh\
+t-right",names:["\\right"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var color=context.parser.gullet.macros.get("\\current@color");if(color&&typeof color!="string")throw new ParseError2("\\current@color set to non-string in \\right");return{type:"leftright-right",mode:context.parser.mode,delim:checkDelimiter(args[0],context).text,color}}});defineFunction({type:"leftright",names:["\\left"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var delim=checkDelimiter(args[0],context),
+parser=context.parser;++parser.leftrightDepth;var body2=parser.parseExpression(!1);--parser.leftrightDepth,parser.expect("\\right",!1);var right=assertNodeType(parser.parseFunction(),"leftright-right");return{type:"leftright",mode:parser.mode,body:body2,left:delim.text,right:right.delim,rightColor:right.color}},htmlBuilder:(group,options)=>{assertParsed(group);for(var inner2=buildExpression$1(group.body,options,!0,["mopen","mclose"]),innerHeight=0,innerDepth=0,hadMiddle=!1,i=0;i<inner2.length;i++)
+inner2[i].isMiddle?hadMiddle=!0:(innerHeight=Math.max(inner2[i].height,innerHeight),innerDepth=Math.max(inner2[i].depth,innerDepth));innerHeight*=options.sizeMultiplier,innerDepth*=options.sizeMultiplier;var leftDelim;if(group.left==="."?leftDelim=makeNullDelimiter(options,["mopen"]):leftDelim=delimiter.leftRightDelim(group.left,innerHeight,innerDepth,options,group.mode,["mopen"]),inner2.unshift(leftDelim),hadMiddle)for(var _i=1;_i<inner2.length;_i++){var middleDelim=inner2[_i],isMiddle=middleDelim.
+isMiddle;isMiddle&&(inner2[_i]=delimiter.leftRightDelim(isMiddle.delim,innerHeight,innerDepth,isMiddle.options,group.mode,[]))}var rightDelim;if(group.right===".")rightDelim=makeNullDelimiter(options,["mclose"]);else{var colorOptions=group.rightColor?options.withColor(group.rightColor):options;rightDelim=delimiter.leftRightDelim(group.right,innerHeight,innerDepth,colorOptions,group.mode,["mclose"])}return inner2.push(rightDelim),buildCommon.makeSpan(["minner"],inner2,options)},mathmlBuilder:(group,options)=>{
+assertParsed(group);var inner2=buildExpression2(group.body,options);if(group.left!=="."){var leftNode=new mathMLTree.MathNode("mo",[makeText(group.left,group.mode)]);leftNode.setAttribute("fence","true"),inner2.unshift(leftNode)}if(group.right!=="."){var rightNode=new mathMLTree.MathNode("mo",[makeText(group.right,group.mode)]);rightNode.setAttribute("fence","true"),group.rightColor&&rightNode.setAttribute("mathcolor",group.rightColor),inner2.push(rightNode)}return makeRow(inner2)}});defineFunction(
+{type:"middle",names:["\\middle"],props:{numArgs:1,primitive:!0},handler:(context,args)=>{var delim=checkDelimiter(args[0],context);if(!context.parser.leftrightDepth)throw new ParseError2("\\middle without preceding \\left",delim);return{type:"middle",mode:context.parser.mode,delim:delim.text}},htmlBuilder:(group,options)=>{var middleDelim;if(group.delim===".")middleDelim=makeNullDelimiter(options,[]);else{middleDelim=delimiter.sizedDelim(group.delim,1,options,group.mode,[]);var isMiddle={delim:group.
+delim,options};middleDelim.isMiddle=isMiddle}return middleDelim},mathmlBuilder:(group,options)=>{var textNode=group.delim==="\\vert"||group.delim==="|"?makeText("|","text"):makeText(group.delim,group.mode),middleNode=new mathMLTree.MathNode("mo",[textNode]);return middleNode.setAttribute("fence","true"),middleNode.setAttribute("lspace","0.05em"),middleNode.setAttribute("rspace","0.05em"),middleNode}});var htmlBuilder$7=(group,options)=>{var inner2=buildCommon.wrapFragment(buildGroup$1(group.body,
+options),options),label=group.label.slice(1),scale2=options.sizeMultiplier,img,imgShift=0,isSingleChar=utils.isCharacterBox(group.body);if(label==="sout")img=buildCommon.makeSpan(["stretchy","sout"]),img.height=options.fontMetrics().defaultRuleThickness/scale2,imgShift=-.5*options.fontMetrics().xHeight;else if(label==="phase"){var lineWeight=calculateSize({number:.6,unit:"pt"},options),clearance=calculateSize({number:.35,unit:"ex"},options),newOptions=options.havingBaseSizing();scale2=scale2/newOptions.
+sizeMultiplier;var angleHeight=inner2.height+inner2.depth+lineWeight+clearance;inner2.style.paddingLeft=makeEm(angleHeight/2+lineWeight);var viewBoxHeight=Math.floor(1e3*angleHeight*scale2),path2=phasePath(viewBoxHeight),svgNode=new SvgNode([new PathNode("phase",path2)],{width:"400em",height:makeEm(viewBoxHeight/1e3),viewBox:"0 0 400000 "+viewBoxHeight,preserveAspectRatio:"xMinYMin slice"});img=buildCommon.makeSvgSpan(["hide-tail"],[svgNode],options),img.style.height=makeEm(angleHeight),imgShift=
+inner2.depth+lineWeight+clearance}else{/cancel/.test(label)?isSingleChar||inner2.classes.push("cancel-pad"):label==="angl"?inner2.classes.push("anglpad"):inner2.classes.push("boxpad");var topPad=0,bottomPad=0,ruleThickness=0;/box/.test(label)?(ruleThickness=Math.max(options.fontMetrics().fboxrule,options.minRuleThickness),topPad=options.fontMetrics().fboxsep+(label==="colorbox"?0:ruleThickness),bottomPad=topPad):label==="angl"?(ruleThickness=Math.max(options.fontMetrics().defaultRuleThickness,options.
+minRuleThickness),topPad=4*ruleThickness,bottomPad=Math.max(0,.25-inner2.depth)):(topPad=isSingleChar?.2:0,bottomPad=topPad),img=stretchy.encloseSpan(inner2,label,topPad,bottomPad,options),/fbox|boxed|fcolorbox/.test(label)?(img.style.borderStyle="solid",img.style.borderWidth=makeEm(ruleThickness)):label==="angl"&&ruleThickness!==.049&&(img.style.borderTopWidth=makeEm(ruleThickness),img.style.borderRightWidth=makeEm(ruleThickness)),imgShift=inner2.depth+bottomPad,group.backgroundColor&&(img.style.
+backgroundColor=group.backgroundColor,group.borderColor&&(img.style.borderColor=group.borderColor))}var vlist;if(group.backgroundColor)vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:img,shift:imgShift},{type:"elem",elem:inner2,shift:0}]},options);else{var classes=/cancel|phase/.test(label)?["svg-align"]:[];vlist=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:inner2,shift:0},{type:"elem",elem:img,shift:imgShift,wrapperClasses:classes}]},
+options)}return/cancel/.test(label)&&(vlist.height=inner2.height,vlist.depth=inner2.depth),/cancel/.test(label)&&!isSingleChar?buildCommon.makeSpan(["mord","cancel-lap"],[vlist],options):buildCommon.makeSpan(["mord"],[vlist],options)},mathmlBuilder$6=(group,options)=>{var fboxsep=0,node2=new mathMLTree.MathNode(group.label.indexOf("colorbox")>-1?"mpadded":"menclose",[buildGroup2(group.body,options)]);switch(group.label){case"\\cancel":node2.setAttribute("notation","updiagonalstrike");break;case"\
+\\bcancel":node2.setAttribute("notation","downdiagonalstrike");break;case"\\phase":node2.setAttribute("notation","phasorangle");break;case"\\sout":node2.setAttribute("notation","horizontalstrike");break;case"\\fbox":node2.setAttribute("notation","box");break;case"\\angl":node2.setAttribute("notation","actuarial");break;case"\\fcolorbox":case"\\colorbox":if(fboxsep=options.fontMetrics().fboxsep*options.fontMetrics().ptPerEm,node2.setAttribute("width","+"+2*fboxsep+"pt"),node2.setAttribute("height",
+"+"+2*fboxsep+"pt"),node2.setAttribute("lspace",fboxsep+"pt"),node2.setAttribute("voffset",fboxsep+"pt"),group.label==="\\fcolorbox"){var thk=Math.max(options.fontMetrics().fboxrule,options.minRuleThickness);node2.setAttribute("style","border: "+thk+"em solid "+String(group.borderColor))}break;case"\\xcancel":node2.setAttribute("notation","updiagonalstrike downdiagonalstrike");break}return group.backgroundColor&&node2.setAttribute("mathbackground",group.backgroundColor),node2};defineFunction({type:"\
+enclose",names:["\\colorbox"],props:{numArgs:2,allowedInText:!0,argTypes:["color","text"]},handler(_ref,args,optArgs){var{parser,funcName}=_ref,color=assertNodeType(args[0],"color-token").color,body2=args[1];return{type:"enclose",mode:parser.mode,label:funcName,backgroundColor:color,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\fcolorbox"],props:{numArgs:3,allowedInText:!0,argTypes:["color","color","text"]},handler(_ref2,args,optArgs){
+var{parser,funcName}=_ref2,borderColor=assertNodeType(args[0],"color-token").color,backgroundColor=assertNodeType(args[1],"color-token").color,body2=args[2];return{type:"enclose",mode:parser.mode,label:funcName,backgroundColor,borderColor,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\fbox"],props:{numArgs:1,argTypes:["hbox"],allowedInText:!0},handler(_ref3,args){var{parser}=_ref3;return{type:"enclose",mode:parser.mode,label:"\\fbox",
+body:args[0]}}});defineFunction({type:"enclose",names:["\\cancel","\\bcancel","\\xcancel","\\sout","\\phase"],props:{numArgs:1},handler(_ref4,args){var{parser,funcName}=_ref4,body2=args[0];return{type:"enclose",mode:parser.mode,label:funcName,body:body2}},htmlBuilder:htmlBuilder$7,mathmlBuilder:mathmlBuilder$6});defineFunction({type:"enclose",names:["\\angl"],props:{numArgs:1,argTypes:["hbox"],allowedInText:!1},handler(_ref5,args){var{parser}=_ref5;return{type:"enclose",mode:parser.mode,label:"\\\
+angl",body:args[0]}}});var _environments={};function defineEnvironment(_ref){for(var{type:type2,names:names2,props,handler,htmlBuilder:htmlBuilder3,mathmlBuilder:mathmlBuilder3}=_ref,data={type:type2,numArgs:props.numArgs||0,allowedInText:!1,numOptionalArgs:0,handler},i=0;i<names2.length;++i)_environments[names2[i]]=data;htmlBuilder3&&(_htmlGroupBuilders[type2]=htmlBuilder3),mathmlBuilder3&&(_mathmlGroupBuilders[type2]=mathmlBuilder3)}var _macros={};function defineMacro(name,body2){_macros[name]=
+body2}function getHLines(parser){var hlineInfo=[];parser.consumeSpaces();var nxt=parser.fetch().text;for(nxt==="\\relax"&&(parser.consume(),parser.consumeSpaces(),nxt=parser.fetch().text);nxt==="\\hline"||nxt==="\\hdashline";)parser.consume(),hlineInfo.push(nxt==="\\hdashline"),parser.consumeSpaces(),nxt=parser.fetch().text;return hlineInfo}var validateAmsEnvironmentContext=context=>{var settings=context.parser.settings;if(!settings.displayMode)throw new ParseError2("{"+context.envName+"} can be\
+ used only in display mode.")};function getAutoTag(name){if(name.indexOf("ed")===-1)return name.indexOf("*")===-1}function parseArray(parser,_ref,style2){var{hskipBeforeAndAfter,addJot,cols,arraystretch,colSeparationType,autoTag,singleRow,emptySingleRow,maxNumCols,leqno}=_ref;if(parser.gullet.beginGroup(),singleRow||parser.gullet.macros.set("\\cr","\\\\\\relax"),!arraystretch){var stretch=parser.gullet.expandMacroAsText("\\arraystretch");if(stretch==null)arraystretch=1;else if(arraystretch=parseFloat(
+stretch),!arraystretch||arraystretch<0)throw new ParseError2("Invalid \\arraystretch: "+stretch)}parser.gullet.beginGroup();var row2=[],body2=[row2],rowGaps=[],hLinesBeforeRow=[],tags=autoTag!=null?[]:void 0;function beginRow(){autoTag&&parser.gullet.macros.set("\\@eqnsw","1",!0)}function endRow(){tags&&(parser.gullet.macros.get("\\df@tag")?(tags.push(parser.subparse([new Token("\\df@tag")])),parser.gullet.macros.set("\\df@tag",void 0,!0)):tags.push(!!autoTag&&parser.gullet.macros.get("\\@eqnsw")===
+"1"))}for(beginRow(),hLinesBeforeRow.push(getHLines(parser));;){var cell2=parser.parseExpression(!1,singleRow?"\\end":"\\\\");parser.gullet.endGroup(),parser.gullet.beginGroup(),cell2={type:"ordgroup",mode:parser.mode,body:cell2},style2&&(cell2={type:"styling",mode:parser.mode,style:style2,body:[cell2]}),row2.push(cell2);var next2=parser.fetch().text;if(next2==="&"){if(maxNumCols&&row2.length===maxNumCols){if(singleRow||colSeparationType)throw new ParseError2("Too many tab characters: &",parser.
+nextToken);parser.settings.reportNonstrict("textEnv","Too few columns specified in the {array} column argument.")}parser.consume()}else if(next2==="\\end"){endRow(),row2.length===1&&cell2.type==="styling"&&cell2.body[0].body.length===0&&(body2.length>1||!emptySingleRow)&&body2.pop(),hLinesBeforeRow.length<body2.length+1&&hLinesBeforeRow.push([]);break}else if(next2==="\\\\"){parser.consume();var size2=void 0;parser.gullet.future().text!==" "&&(size2=parser.parseSizeGroup(!0)),rowGaps.push(size2?
+size2.value:null),endRow(),hLinesBeforeRow.push(getHLines(parser)),row2=[],body2.push(row2),beginRow()}else throw new ParseError2("Expected & or \\\\ or \\cr or \\end",parser.nextToken)}return parser.gullet.endGroup(),parser.gullet.endGroup(),{type:"array",mode:parser.mode,addJot,arraystretch,body:body2,cols,rowGaps,hskipBeforeAndAfter,hLinesBeforeRow,colSeparationType,tags,leqno}}function dCellStyle(envName){return envName.slice(0,1)==="d"?"display":"text"}var htmlBuilder$6=function(group,options){
+var r2,c2,nr=group.body.length,hLinesBeforeRow=group.hLinesBeforeRow,nc=0,body2=new Array(nr),hlines=[],ruleThickness=Math.max(options.fontMetrics().arrayRuleWidth,options.minRuleThickness),pt=1/options.fontMetrics().ptPerEm,arraycolsep=5*pt;if(group.colSeparationType&&group.colSeparationType==="small"){var localMultiplier=options.havingStyle(Style$1.SCRIPT).sizeMultiplier;arraycolsep=.2778*(localMultiplier/options.sizeMultiplier)}var baselineskip=group.colSeparationType==="CD"?calculateSize({number:3,
+unit:"ex"},options):12*pt,jot=3*pt,arrayskip=group.arraystretch*baselineskip,arstrutHeight=.7*arrayskip,arstrutDepth=.3*arrayskip,totalHeight=0;function setHLinePos(hlinesInGap){for(var i=0;i<hlinesInGap.length;++i)i>0&&(totalHeight+=.25),hlines.push({pos:totalHeight,isDashed:hlinesInGap[i]})}for(setHLinePos(hLinesBeforeRow[0]),r2=0;r2<group.body.length;++r2){var inrow=group.body[r2],height=arstrutHeight,depth=arstrutDepth;nc<inrow.length&&(nc=inrow.length);var outrow=new Array(inrow.length);for(c2=
+0;c2<inrow.length;++c2){var elt=buildGroup$1(inrow[c2],options);depth<elt.depth&&(depth=elt.depth),height<elt.height&&(height=elt.height),outrow[c2]=elt}var rowGap=group.rowGaps[r2],gap=0;rowGap&&(gap=calculateSize(rowGap,options),gap>0&&(gap+=arstrutDepth,depth<gap&&(depth=gap),gap=0)),group.addJot&&(depth+=jot),outrow.height=height,outrow.depth=depth,totalHeight+=height,outrow.pos=totalHeight,totalHeight+=depth+gap,body2[r2]=outrow,setHLinePos(hLinesBeforeRow[r2+1])}var offset2=totalHeight/2+options.
+fontMetrics().axisHeight,colDescriptions=group.cols||[],cols=[],colSep,colDescrNum,tagSpans=[];if(group.tags&&group.tags.some(tag2=>tag2))for(r2=0;r2<nr;++r2){var rw=body2[r2],shift2=rw.pos-offset2,tag=group.tags[r2],tagSpan=void 0;tag===!0?tagSpan=buildCommon.makeSpan(["eqn-num"],[],options):tag===!1?tagSpan=buildCommon.makeSpan([],[],options):tagSpan=buildCommon.makeSpan([],buildExpression$1(tag,options,!0),options),tagSpan.depth=rw.depth,tagSpan.height=rw.height,tagSpans.push({type:"elem",elem:tagSpan,
+shift:shift2})}for(c2=0,colDescrNum=0;c2<nc||colDescrNum<colDescriptions.length;++c2,++colDescrNum){for(var colDescr=colDescriptions[colDescrNum]||{},firstSeparator=!0;colDescr.type==="separator";){if(firstSeparator||(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(options.fontMetrics().doubleRuleSep),cols.push(colSep)),colDescr.separator==="|"||colDescr.separator===":"){var lineType=colDescr.separator==="|"?"solid":"dashed",separator=buildCommon.makeSpan(["vertical-sep\
+arator"],[],options);separator.style.height=makeEm(totalHeight),separator.style.borderRightWidth=makeEm(ruleThickness),separator.style.borderRightStyle=lineType,separator.style.margin="0 "+makeEm(-ruleThickness/2);var _shift=totalHeight-offset2;_shift&&(separator.style.verticalAlign=makeEm(-_shift)),cols.push(separator)}else throw new ParseError2("Invalid separator type: "+colDescr.separator);colDescrNum++,colDescr=colDescriptions[colDescrNum]||{},firstSeparator=!1}if(!(c2>=nc)){var sepwidth=void 0;
+(c2>0||group.hskipBeforeAndAfter)&&(sepwidth=utils.deflt(colDescr.pregap,arraycolsep),sepwidth!==0&&(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(sepwidth),cols.push(colSep)));var col=[];for(r2=0;r2<nr;++r2){var row2=body2[r2],elem=row2[c2];if(elem){var _shift2=row2.pos-offset2;elem.depth=row2.depth,elem.height=row2.height,col.push({type:"elem",elem,shift:_shift2})}}col=buildCommon.makeVList({positionType:"individualShift",children:col},options),col=buildCommon.makeSpan(
+["col-align-"+(colDescr.align||"c")],[col]),cols.push(col),(c2<nc-1||group.hskipBeforeAndAfter)&&(sepwidth=utils.deflt(colDescr.postgap,arraycolsep),sepwidth!==0&&(colSep=buildCommon.makeSpan(["arraycolsep"],[]),colSep.style.width=makeEm(sepwidth),cols.push(colSep)))}}if(body2=buildCommon.makeSpan(["mtable"],cols),hlines.length>0){for(var line=buildCommon.makeLineSpan("hline",options,ruleThickness),dashes=buildCommon.makeLineSpan("hdashline",options,ruleThickness),vListElems=[{type:"elem",elem:body2,
+shift:0}];hlines.length>0;){var hline=hlines.pop(),lineShift=hline.pos-offset2;hline.isDashed?vListElems.push({type:"elem",elem:dashes,shift:lineShift}):vListElems.push({type:"elem",elem:line,shift:lineShift})}body2=buildCommon.makeVList({positionType:"individualShift",children:vListElems},options)}if(tagSpans.length===0)return buildCommon.makeSpan(["mord"],[body2],options);var eqnNumCol=buildCommon.makeVList({positionType:"individualShift",children:tagSpans},options);return eqnNumCol=buildCommon.
+makeSpan(["tag"],[eqnNumCol],options),buildCommon.makeFragment([body2,eqnNumCol])},alignMap={c:"center ",l:"left ",r:"right "},mathmlBuilder$5=function(group,options){for(var tbl=[],glue=new mathMLTree.MathNode("mtd",[],["mtr-glue"]),tag=new mathMLTree.MathNode("mtd",[],["mml-eqn-num"]),i=0;i<group.body.length;i++){for(var rw=group.body[i],row2=[],j=0;j<rw.length;j++)row2.push(new mathMLTree.MathNode("mtd",[buildGroup2(rw[j],options)]));group.tags&&group.tags[i]&&(row2.unshift(glue),row2.push(glue),
+group.leqno?row2.unshift(tag):row2.push(tag)),tbl.push(new mathMLTree.MathNode("mtr",row2))}var table2=new mathMLTree.MathNode("mtable",tbl),gap=group.arraystretch===.5?.1:.16+group.arraystretch-1+(group.addJot?.09:0);table2.setAttribute("rowspacing",makeEm(gap));var menclose="",align="";if(group.cols&&group.cols.length>0){var cols=group.cols,columnLines="",prevTypeWasAlign=!1,iStart=0,iEnd=cols.length;cols[0].type==="separator"&&(menclose+="top ",iStart=1),cols[cols.length-1].type==="separator"&&
+(menclose+="bottom ",iEnd-=1);for(var _i=iStart;_i<iEnd;_i++)cols[_i].type==="align"?(align+=alignMap[cols[_i].align],prevTypeWasAlign&&(columnLines+="none "),prevTypeWasAlign=!0):cols[_i].type==="separator"&&prevTypeWasAlign&&(columnLines+=cols[_i].separator==="|"?"solid ":"dashed ",prevTypeWasAlign=!1);table2.setAttribute("columnalign",align.trim()),/[sd]/.test(columnLines)&&table2.setAttribute("columnlines",columnLines.trim())}if(group.colSeparationType==="align"){for(var _cols=group.cols||[],
+spacing2="",_i2=1;_i2<_cols.length;_i2++)spacing2+=_i2%2?"0em ":"1em ";table2.setAttribute("columnspacing",spacing2.trim())}else group.colSeparationType==="alignat"||group.colSeparationType==="gather"?table2.setAttribute("columnspacing","0em"):group.colSeparationType==="small"?table2.setAttribute("columnspacing","0.2778em"):group.colSeparationType==="CD"?table2.setAttribute("columnspacing","0.5em"):table2.setAttribute("columnspacing","1em");var rowLines="",hlines=group.hLinesBeforeRow;menclose+=
+hlines[0].length>0?"left ":"",menclose+=hlines[hlines.length-1].length>0?"right ":"";for(var _i3=1;_i3<hlines.length-1;_i3++)rowLines+=hlines[_i3].length===0?"none ":hlines[_i3][0]?"dashed ":"solid ";return/[sd]/.test(rowLines)&&table2.setAttribute("rowlines",rowLines.trim()),menclose!==""&&(table2=new mathMLTree.MathNode("menclose",[table2]),table2.setAttribute("notation",menclose.trim())),group.arraystretch&&group.arraystretch<1&&(table2=new mathMLTree.MathNode("mstyle",[table2]),table2.setAttribute(
+"scriptlevel","1")),table2},alignedHandler=function(context,args){context.envName.indexOf("ed")===-1&&validateAmsEnvironmentContext(context);var cols=[],separationType=context.envName.indexOf("at")>-1?"alignat":"align",isSplit=context.envName==="split",res=parseArray(context.parser,{cols,addJot:!0,autoTag:isSplit?void 0:getAutoTag(context.envName),emptySingleRow:!0,colSeparationType:separationType,maxNumCols:isSplit?2:void 0,leqno:context.parser.settings.leqno},"display"),numMaths,numCols=0,emptyGroup={
+type:"ordgroup",mode:context.mode,body:[]};if(args[0]&&args[0].type==="ordgroup"){for(var arg0="",i=0;i<args[0].body.length;i++){var textord2=assertNodeType(args[0].body[i],"textord");arg0+=textord2.text}numMaths=Number(arg0),numCols=numMaths*2}var isAligned=!numCols;res.body.forEach(function(row2){for(var _i4=1;_i4<row2.length;_i4+=2){var styling=assertNodeType(row2[_i4],"styling"),ordgroup=assertNodeType(styling.body[0],"ordgroup");ordgroup.body.unshift(emptyGroup)}if(isAligned)numCols<row2.length&&
+(numCols=row2.length);else{var curMaths=row2.length/2;if(numMaths<curMaths)throw new ParseError2("Too many math in a row: "+("expected "+numMaths+", but got "+curMaths),row2[0])}});for(var _i5=0;_i5<numCols;++_i5){var align="r",pregap=0;_i5%2===1?align="l":_i5>0&&isAligned&&(pregap=1),cols[_i5]={type:"align",align,pregap,postgap:0}}return res.colSeparationType=isAligned?"align":"alignat",res};defineEnvironment({type:"array",names:["array","darray"],props:{numArgs:1},handler(context,args){var symNode=checkSymbolNodeType(
+args[0]),colalign=symNode?[args[0]]:assertNodeType(args[0],"ordgroup").body,cols=colalign.map(function(nde){var node2=assertSymbolNodeType(nde),ca=node2.text;if("lcr".indexOf(ca)!==-1)return{type:"align",align:ca};if(ca==="|")return{type:"separator",separator:"|"};if(ca===":")return{type:"separator",separator:":"};throw new ParseError2("Unknown column alignment: "+ca,nde)}),res={cols,hskipBeforeAndAfter:!0,maxNumCols:cols.length};return parseArray(context.parser,res,dCellStyle(context.envName))},
+htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["matrix","pmatrix","bmatrix","Bmatrix","vmatrix","Vmatrix","matrix*","pmatrix*","bmatrix*","Bmatrix*","vmatrix*","Vmatrix*"],props:{numArgs:0},handler(context){var delimiters2={matrix:null,pmatrix:["(",")"],bmatrix:["[","]"],Bmatrix:["\\{","\\}"],vmatrix:["|","|"],Vmatrix:["\\Vert","\\Vert"]}[context.envName.replace("*","")],colAlign="c",payload={hskipBeforeAndAfter:!1,cols:[{type:"align",align:colAlign}]};
+if(context.envName.charAt(context.envName.length-1)==="*"){var parser=context.parser;if(parser.consumeSpaces(),parser.fetch().text==="["){if(parser.consume(),parser.consumeSpaces(),colAlign=parser.fetch().text,"lcr".indexOf(colAlign)===-1)throw new ParseError2("Expected l or c or r",parser.nextToken);parser.consume(),parser.consumeSpaces(),parser.expect("]"),parser.consume(),payload.cols=[{type:"align",align:colAlign}]}}var res=parseArray(context.parser,payload,dCellStyle(context.envName)),numCols=Math.
+max(0,...res.body.map(row2=>row2.length));return res.cols=new Array(numCols).fill({type:"align",align:colAlign}),delimiters2?{type:"leftright",mode:context.mode,body:[res],left:delimiters2[0],right:delimiters2[1],rightColor:void 0}:res},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["smallmatrix"],props:{numArgs:0},handler(context){var payload={arraystretch:.5},res=parseArray(context.parser,payload,"script");return res.colSeparationType="small",res},
+htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["subarray"],props:{numArgs:1},handler(context,args){var symNode=checkSymbolNodeType(args[0]),colalign=symNode?[args[0]]:assertNodeType(args[0],"ordgroup").body,cols=colalign.map(function(nde){var node2=assertSymbolNodeType(nde),ca=node2.text;if("lc".indexOf(ca)!==-1)return{type:"align",align:ca};throw new ParseError2("Unknown column alignment: "+ca,nde)});if(cols.length>1)throw new ParseError2("{suba\
+rray} can contain only one column");var res={cols,hskipBeforeAndAfter:!1,arraystretch:.5};if(res=parseArray(context.parser,res,"script"),res.body.length>0&&res.body[0].length>1)throw new ParseError2("{subarray} can contain only one column");return res},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["cases","dcases","rcases","drcases"],props:{numArgs:0},handler(context){var payload={arraystretch:1.2,cols:[{type:"align",align:"l",pregap:0,postgap:1},
+{type:"align",align:"l",pregap:0,postgap:0}]},res=parseArray(context.parser,payload,dCellStyle(context.envName));return{type:"leftright",mode:context.mode,body:[res],left:context.envName.indexOf("r")>-1?".":"\\{",right:context.envName.indexOf("r")>-1?"\\}":".",rightColor:void 0}},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["align","align*","aligned","split"],props:{numArgs:0},handler:alignedHandler,htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});
+defineEnvironment({type:"array",names:["gathered","gather","gather*"],props:{numArgs:0},handler(context){utils.contains(["gather","gather*"],context.envName)&&validateAmsEnvironmentContext(context);var res={cols:[{type:"align",align:"c"}],addJot:!0,colSeparationType:"gather",autoTag:getAutoTag(context.envName),emptySingleRow:!0,leqno:context.parser.settings.leqno};return parseArray(context.parser,res,"display")},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"a\
+rray",names:["alignat","alignat*","alignedat"],props:{numArgs:1},handler:alignedHandler,htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineEnvironment({type:"array",names:["equation","equation*"],props:{numArgs:0},handler(context){validateAmsEnvironmentContext(context);var res={autoTag:getAutoTag(context.envName),emptySingleRow:!0,singleRow:!0,maxNumCols:1,leqno:context.parser.settings.leqno};return parseArray(context.parser,res,"display")},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});
+defineEnvironment({type:"array",names:["CD"],props:{numArgs:0},handler(context){return validateAmsEnvironmentContext(context),parseCD(context.parser)},htmlBuilder:htmlBuilder$6,mathmlBuilder:mathmlBuilder$5});defineMacro("\\nonumber","\\gdef\\@eqnsw{0}");defineMacro("\\notag","\\nonumber");defineFunction({type:"text",names:["\\hline","\\hdashline"],props:{numArgs:0,allowedInText:!0,allowedInMath:!0},handler(context,args){throw new ParseError2(context.funcName+" valid only within array environmen\
+t")}});var environments=_environments;defineFunction({type:"environment",names:["\\begin","\\end"],props:{numArgs:1,argTypes:["text"]},handler(_ref,args){var{parser,funcName}=_ref,nameGroup=args[0];if(nameGroup.type!=="ordgroup")throw new ParseError2("Invalid environment name",nameGroup);for(var envName="",i=0;i<nameGroup.body.length;++i)envName+=assertNodeType(nameGroup.body[i],"textord").text;if(funcName==="\\begin"){if(!environments.hasOwnProperty(envName))throw new ParseError2("No such envir\
+onment: "+envName,nameGroup);var env2=environments[envName],{args:_args,optArgs}=parser.parseArguments("\\begin{"+envName+"}",env2),context={mode:parser.mode,envName,parser},result=env2.handler(context,_args,optArgs);parser.expect("\\end",!1);var endNameToken=parser.nextToken,end=assertNodeType(parser.parseFunction(),"environment");if(end.name!==envName)throw new ParseError2("Mismatch: \\begin{"+envName+"} matched by \\end{"+end.name+"}",endNameToken);return result}return{type:"environment",mode:parser.
+mode,name:envName,nameGroup}}});var htmlBuilder$5=(group,options)=>{var font=group.font,newOptions=options.withFont(font);return buildGroup$1(group.body,newOptions)},mathmlBuilder$4=(group,options)=>{var font=group.font,newOptions=options.withFont(font);return buildGroup2(group.body,newOptions)},fontAliases={"\\Bbb":"\\mathbb","\\bold":"\\mathbf","\\frak":"\\mathfrak","\\bm":"\\boldsymbol"};defineFunction({type:"font",names:["\\mathrm","\\mathit","\\mathbf","\\mathnormal","\\mathsfit","\\mathbb",
+"\\mathcal","\\mathfrak","\\mathscr","\\mathsf","\\mathtt","\\Bbb","\\bold","\\frak"],props:{numArgs:1,allowedInArgument:!0},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=normalizeArgument(args[0]),func=funcName;return func in fontAliases&&(func=fontAliases[func]),{type:"font",mode:parser.mode,font:func.slice(1),body:body2}},htmlBuilder:htmlBuilder$5,mathmlBuilder:mathmlBuilder$4});defineFunction({type:"mclass",names:["\\boldsymbol","\\bm"],props:{numArgs:1},handler:(_ref2,args)=>{var{parser}=_ref2,
+body2=args[0],isCharacterBox3=utils.isCharacterBox(body2);return{type:"mclass",mode:parser.mode,mclass:binrelClass(body2),body:[{type:"font",mode:parser.mode,font:"boldsymbol",body:body2}],isCharacterBox:isCharacterBox3}}});defineFunction({type:"font",names:["\\rm","\\sf","\\tt","\\bf","\\it","\\cal"],props:{numArgs:0,allowedInText:!0},handler:(_ref3,args)=>{var{parser,funcName,breakOnTokenText}=_ref3,{mode}=parser,body2=parser.parseExpression(!0,breakOnTokenText),style2="math"+funcName.slice(1);
+return{type:"font",mode,font:style2,body:{type:"ordgroup",mode:parser.mode,body:body2}}},htmlBuilder:htmlBuilder$5,mathmlBuilder:mathmlBuilder$4});var adjustStyle=(size2,originalStyle)=>{var style2=originalStyle;return size2==="display"?style2=style2.id>=Style$1.SCRIPT.id?style2.text():Style$1.DISPLAY:size2==="text"&&style2.size===Style$1.DISPLAY.size?style2=Style$1.TEXT:size2==="script"?style2=Style$1.SCRIPT:size2==="scriptscript"&&(style2=Style$1.SCRIPTSCRIPT),style2},htmlBuilder$4=(group,options)=>{
+var style2=adjustStyle(group.size,options.style),nstyle=style2.fracNum(),dstyle=style2.fracDen(),newOptions;newOptions=options.havingStyle(nstyle);var numerm=buildGroup$1(group.numer,newOptions,options);if(group.continued){var hStrut=8.5/options.fontMetrics().ptPerEm,dStrut=3.5/options.fontMetrics().ptPerEm;numerm.height=numerm.height<hStrut?hStrut:numerm.height,numerm.depth=numerm.depth<dStrut?dStrut:numerm.depth}newOptions=options.havingStyle(dstyle);var denomm=buildGroup$1(group.denom,newOptions,
+options),rule,ruleWidth,ruleSpacing;group.hasBarLine?(group.barSize?(ruleWidth=calculateSize(group.barSize,options),rule=buildCommon.makeLineSpan("frac-line",options,ruleWidth)):rule=buildCommon.makeLineSpan("frac-line",options),ruleWidth=rule.height,ruleSpacing=rule.height):(rule=null,ruleWidth=0,ruleSpacing=options.fontMetrics().defaultRuleThickness);var numShift,clearance,denomShift;style2.size===Style$1.DISPLAY.size||group.size==="display"?(numShift=options.fontMetrics().num1,ruleWidth>0?clearance=
+3*ruleSpacing:clearance=7*ruleSpacing,denomShift=options.fontMetrics().denom1):(ruleWidth>0?(numShift=options.fontMetrics().num2,clearance=ruleSpacing):(numShift=options.fontMetrics().num3,clearance=3*ruleSpacing),denomShift=options.fontMetrics().denom2);var frac2;if(rule){var axisHeight=options.fontMetrics().axisHeight;numShift-numerm.depth-(axisHeight+.5*ruleWidth)<clearance&&(numShift+=clearance-(numShift-numerm.depth-(axisHeight+.5*ruleWidth))),axisHeight-.5*ruleWidth-(denomm.height-denomShift)<
+clearance&&(denomShift+=clearance-(axisHeight-.5*ruleWidth-(denomm.height-denomShift)));var midShift=-(axisHeight-.5*ruleWidth);frac2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:denomm,shift:denomShift},{type:"elem",elem:rule,shift:midShift},{type:"elem",elem:numerm,shift:-numShift}]},options)}else{var candidateClearance=numShift-numerm.depth-(denomm.height-denomShift);candidateClearance<clearance&&(numShift+=.5*(clearance-candidateClearance),denomShift+=.5*
+(clearance-candidateClearance)),frac2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:denomm,shift:denomShift},{type:"elem",elem:numerm,shift:-numShift}]},options)}newOptions=options.havingStyle(style2),frac2.height*=newOptions.sizeMultiplier/options.sizeMultiplier,frac2.depth*=newOptions.sizeMultiplier/options.sizeMultiplier;var delimSize;style2.size===Style$1.DISPLAY.size?delimSize=options.fontMetrics().delim1:style2.size===Style$1.SCRIPTSCRIPT.size?delimSize=
+options.havingStyle(Style$1.SCRIPT).fontMetrics().delim2:delimSize=options.fontMetrics().delim2;var leftDelim,rightDelim;return group.leftDelim==null?leftDelim=makeNullDelimiter(options,["mopen"]):leftDelim=delimiter.customSizedDelim(group.leftDelim,delimSize,!0,options.havingStyle(style2),group.mode,["mopen"]),group.continued?rightDelim=buildCommon.makeSpan([]):group.rightDelim==null?rightDelim=makeNullDelimiter(options,["mclose"]):rightDelim=delimiter.customSizedDelim(group.rightDelim,delimSize,
+!0,options.havingStyle(style2),group.mode,["mclose"]),buildCommon.makeSpan(["mord"].concat(newOptions.sizingClasses(options)),[leftDelim,buildCommon.makeSpan(["mfrac"],[frac2]),rightDelim],options)},mathmlBuilder$3=(group,options)=>{var node2=new mathMLTree.MathNode("mfrac",[buildGroup2(group.numer,options),buildGroup2(group.denom,options)]);if(!group.hasBarLine)node2.setAttribute("linethickness","0px");else if(group.barSize){var ruleWidth=calculateSize(group.barSize,options);node2.setAttribute(
+"linethickness",makeEm(ruleWidth))}var style2=adjustStyle(group.size,options.style);if(style2.size!==options.style.size){node2=new mathMLTree.MathNode("mstyle",[node2]);var isDisplay=style2.size===Style$1.DISPLAY.size?"true":"false";node2.setAttribute("displaystyle",isDisplay),node2.setAttribute("scriptlevel","0")}if(group.leftDelim!=null||group.rightDelim!=null){var withDelims=[];if(group.leftDelim!=null){var leftOp=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(group.leftDelim.replace("\
+\\",""))]);leftOp.setAttribute("fence","true"),withDelims.push(leftOp)}if(withDelims.push(node2),group.rightDelim!=null){var rightOp=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode(group.rightDelim.replace("\\",""))]);rightOp.setAttribute("fence","true"),withDelims.push(rightOp)}return makeRow(withDelims)}return node2};defineFunction({type:"genfrac",names:["\\dfrac","\\frac","\\tfrac","\\dbinom","\\binom","\\tbinom","\\\\atopfrac","\\\\bracefrac","\\\\brackfrac"],props:{numArgs:2,allowedInArgument:!0},
+handler:(_ref,args)=>{var{parser,funcName}=_ref,numer=args[0],denom=args[1],hasBarLine,leftDelim=null,rightDelim=null,size2="auto";switch(funcName){case"\\dfrac":case"\\frac":case"\\tfrac":hasBarLine=!0;break;case"\\\\atopfrac":hasBarLine=!1;break;case"\\dbinom":case"\\binom":case"\\tbinom":hasBarLine=!1,leftDelim="(",rightDelim=")";break;case"\\\\bracefrac":hasBarLine=!1,leftDelim="\\{",rightDelim="\\}";break;case"\\\\brackfrac":hasBarLine=!1,leftDelim="[",rightDelim="]";break;default:throw new Error(
+"Unrecognized genfrac command")}switch(funcName){case"\\dfrac":case"\\dbinom":size2="display";break;case"\\tfrac":case"\\tbinom":size2="text";break}return{type:"genfrac",mode:parser.mode,continued:!1,numer,denom,hasBarLine,leftDelim,rightDelim,size:size2,barSize:null}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});defineFunction({type:"genfrac",names:["\\cfrac"],props:{numArgs:2},handler:(_ref2,args)=>{var{parser,funcName}=_ref2,numer=args[0],denom=args[1];return{type:"genfrac",mode:parser.
+mode,continued:!0,numer,denom,hasBarLine:!0,leftDelim:null,rightDelim:null,size:"display",barSize:null}}});defineFunction({type:"infix",names:["\\over","\\choose","\\atop","\\brace","\\brack"],props:{numArgs:0,infix:!0},handler(_ref3){var{parser,funcName,token:token2}=_ref3,replaceWith;switch(funcName){case"\\over":replaceWith="\\frac";break;case"\\choose":replaceWith="\\binom";break;case"\\atop":replaceWith="\\\\atopfrac";break;case"\\brace":replaceWith="\\\\bracefrac";break;case"\\brack":replaceWith=
+"\\\\brackfrac";break;default:throw new Error("Unrecognized infix genfrac command")}return{type:"infix",mode:parser.mode,replaceWith,token:token2}}});var stylArray=["display","text","script","scriptscript"],delimFromValue=function(delimString){var delim=null;return delimString.length>0&&(delim=delimString,delim=delim==="."?null:delim),delim};defineFunction({type:"genfrac",names:["\\genfrac"],props:{numArgs:6,allowedInArgument:!0,argTypes:["math","math","size","text","math","math"]},handler(_ref4,args){
+var{parser}=_ref4,numer=args[4],denom=args[5],leftNode=normalizeArgument(args[0]),leftDelim=leftNode.type==="atom"&&leftNode.family==="open"?delimFromValue(leftNode.text):null,rightNode=normalizeArgument(args[1]),rightDelim=rightNode.type==="atom"&&rightNode.family==="close"?delimFromValue(rightNode.text):null,barNode=assertNodeType(args[2],"size"),hasBarLine,barSize=null;barNode.isBlank?hasBarLine=!0:(barSize=barNode.value,hasBarLine=barSize.number>0);var size2="auto",styl=args[3];if(styl.type===
+"ordgroup"){if(styl.body.length>0){var textOrd=assertNodeType(styl.body[0],"textord");size2=stylArray[Number(textOrd.text)]}}else styl=assertNodeType(styl,"textord"),size2=stylArray[Number(styl.text)];return{type:"genfrac",mode:parser.mode,numer,denom,continued:!1,hasBarLine,barSize,leftDelim,rightDelim,size:size2}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});defineFunction({type:"infix",names:["\\above"],props:{numArgs:1,argTypes:["size"],infix:!0},handler(_ref5,args){var{parser,funcName,
+token:token2}=_ref5;return{type:"infix",mode:parser.mode,replaceWith:"\\\\abovefrac",size:assertNodeType(args[0],"size").value,token:token2}}});defineFunction({type:"genfrac",names:["\\\\abovefrac"],props:{numArgs:3,argTypes:["math","size","math"]},handler:(_ref6,args)=>{var{parser,funcName}=_ref6,numer=args[0],barSize=assert(assertNodeType(args[1],"infix").size),denom=args[2],hasBarLine=barSize.number>0;return{type:"genfrac",mode:parser.mode,numer,denom,continued:!1,hasBarLine,barSize,leftDelim:null,
+rightDelim:null,size:"auto"}},htmlBuilder:htmlBuilder$4,mathmlBuilder:mathmlBuilder$3});var htmlBuilder$3=(grp,options)=>{var style2=options.style,supSubGroup,group;grp.type==="supsub"?(supSubGroup=grp.sup?buildGroup$1(grp.sup,options.havingStyle(style2.sup()),options):buildGroup$1(grp.sub,options.havingStyle(style2.sub()),options),group=assertNodeType(grp.base,"horizBrace")):group=assertNodeType(grp,"horizBrace");var body2=buildGroup$1(group.base,options.havingBaseStyle(Style$1.DISPLAY)),braceBody=stretchy.
+svgSpan(group,options),vlist;if(group.isOver?(vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:body2},{type:"kern",size:.1},{type:"elem",elem:braceBody}]},options),vlist.children[0].children[0].children[1].classes.push("svg-align")):(vlist=buildCommon.makeVList({positionType:"bottom",positionData:body2.depth+.1+braceBody.height,children:[{type:"elem",elem:braceBody},{type:"kern",size:.1},{type:"elem",elem:body2}]},options),vlist.children[0].children[0].children[0].
+classes.push("svg-align")),supSubGroup){var vSpan=buildCommon.makeSpan(["mord",group.isOver?"mover":"munder"],[vlist],options);group.isOver?vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:vSpan},{type:"kern",size:.2},{type:"elem",elem:supSubGroup}]},options):vlist=buildCommon.makeVList({positionType:"bottom",positionData:vSpan.depth+.2+supSubGroup.height+supSubGroup.depth,children:[{type:"elem",elem:supSubGroup},{type:"kern",size:.2},{type:"elem",elem:vSpan}]},
+options)}return buildCommon.makeSpan(["mord",group.isOver?"mover":"munder"],[vlist],options)},mathmlBuilder$2=(group,options)=>{var accentNode=stretchy.mathMLnode(group.label);return new mathMLTree.MathNode(group.isOver?"mover":"munder",[buildGroup2(group.base,options),accentNode])};defineFunction({type:"horizBrace",names:["\\overbrace","\\underbrace"],props:{numArgs:1},handler(_ref,args){var{parser,funcName}=_ref;return{type:"horizBrace",mode:parser.mode,label:funcName,isOver:/^\\over/.test(funcName),
+base:args[0]}},htmlBuilder:htmlBuilder$3,mathmlBuilder:mathmlBuilder$2});defineFunction({type:"href",names:["\\href"],props:{numArgs:2,argTypes:["url","original"],allowedInText:!0},handler:(_ref,args)=>{var{parser}=_ref,body2=args[1],href=assertNodeType(args[0],"url").url;return parser.settings.isTrusted({command:"\\href",url:href})?{type:"href",mode:parser.mode,href,body:ordargument(body2)}:parser.formatUnsupportedCmd("\\href")},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.
+body,options,!1);return buildCommon.makeAnchor(group.href,[],elements,options)},mathmlBuilder:(group,options)=>{var math2=buildExpressionRow(group.body,options);return math2 instanceof MathNode||(math2=new MathNode("mrow",[math2])),math2.setAttribute("href",group.href),math2}});defineFunction({type:"href",names:["\\url"],props:{numArgs:1,argTypes:["url"],allowedInText:!0},handler:(_ref2,args)=>{var{parser}=_ref2,href=assertNodeType(args[0],"url").url;if(!parser.settings.isTrusted({command:"\\url",
+url:href}))return parser.formatUnsupportedCmd("\\url");for(var chars=[],i=0;i<href.length;i++){var c2=href[i];c2==="~"&&(c2="\\textasciitilde"),chars.push({type:"textord",mode:"text",text:c2})}var body2={type:"text",mode:parser.mode,font:"\\texttt",body:chars};return{type:"href",mode:parser.mode,href,body:ordargument(body2)}}});defineFunction({type:"hbox",names:["\\hbox"],props:{numArgs:1,argTypes:["text"],allowedInText:!0,primitive:!0},handler(_ref,args){var{parser}=_ref;return{type:"hbox",mode:parser.
+mode,body:ordargument(args[0])}},htmlBuilder(group,options){var elements=buildExpression$1(group.body,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder(group,options){return new mathMLTree.MathNode("mrow",buildExpression2(group.body,options))}});defineFunction({type:"html",names:["\\htmlClass","\\htmlId","\\htmlStyle","\\htmlData"],props:{numArgs:2,argTypes:["raw","original"],allowedInText:!0},handler:(_ref,args)=>{var{parser,funcName,token:token2}=_ref,value=assertNodeType(args[0],
+"raw").string,body2=args[1];parser.settings.strict&&parser.settings.reportNonstrict("htmlExtension","HTML extension is disabled on strict mode");var trustContext,attributes={};switch(funcName){case"\\htmlClass":attributes.class=value,trustContext={command:"\\htmlClass",class:value};break;case"\\htmlId":attributes.id=value,trustContext={command:"\\htmlId",id:value};break;case"\\htmlStyle":attributes.style=value,trustContext={command:"\\htmlStyle",style:value};break;case"\\htmlData":{for(var data=value.
+split(","),i=0;i<data.length;i++){var keyVal=data[i].split("=");if(keyVal.length!==2)throw new ParseError2("Error parsing key-value for \\htmlData");attributes["data-"+keyVal[0].trim()]=keyVal[1].trim()}trustContext={command:"\\htmlData",attributes};break}default:throw new Error("Unrecognized html command")}return parser.settings.isTrusted(trustContext)?{type:"html",mode:parser.mode,attributes,body:ordargument(body2)}:parser.formatUnsupportedCmd(funcName)},htmlBuilder:(group,options)=>{var elements=buildExpression$1(
+group.body,options,!1),classes=["enclosing"];group.attributes.class&&classes.push(...group.attributes.class.trim().split(/\s+/));var span=buildCommon.makeSpan(classes,elements,options);for(var attr in group.attributes)attr!=="class"&&group.attributes.hasOwnProperty(attr)&&span.setAttribute(attr,group.attributes[attr]);return span},mathmlBuilder:(group,options)=>buildExpressionRow(group.body,options)});defineFunction({type:"htmlmathml",names:["\\html@mathml"],props:{numArgs:2,allowedInText:!0},handler:(_ref,args)=>{
+var{parser}=_ref;return{type:"htmlmathml",mode:parser.mode,html:ordargument(args[0]),mathml:ordargument(args[1])}},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.html,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>buildExpressionRow(group.mathml,options)});var sizeData=function(str){if(/^[-+]? *(\d+(\.\d*)?|\.\d+)$/.test(str))return{number:+str,unit:"bp"};var match=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(str);if(!match)throw new ParseError2(
+"Invalid size: '"+str+"' in \\includegraphics");var data={number:+(match[1]+match[2]),unit:match[3]};if(!validUnit(data))throw new ParseError2("Invalid unit: '"+data.unit+"' in \\includegraphics.");return data};defineFunction({type:"includegraphics",names:["\\includegraphics"],props:{numArgs:1,numOptionalArgs:1,argTypes:["raw","url"],allowedInText:!1},handler:(_ref,args,optArgs)=>{var{parser}=_ref,width={number:0,unit:"em"},height={number:.9,unit:"em"},totalheight={number:0,unit:"em"},alt="";if(optArgs[0])
+for(var attributeStr=assertNodeType(optArgs[0],"raw").string,attributes=attributeStr.split(","),i=0;i<attributes.length;i++){var keyVal=attributes[i].split("=");if(keyVal.length===2){var str=keyVal[1].trim();switch(keyVal[0].trim()){case"alt":alt=str;break;case"width":width=sizeData(str);break;case"height":height=sizeData(str);break;case"totalheight":totalheight=sizeData(str);break;default:throw new ParseError2("Invalid key: '"+keyVal[0]+"' in \\includegraphics.")}}}var src=assertNodeType(args[0],
+"url").url;return alt===""&&(alt=src,alt=alt.replace(/^.*[\\/]/,""),alt=alt.substring(0,alt.lastIndexOf("."))),parser.settings.isTrusted({command:"\\includegraphics",url:src})?{type:"includegraphics",mode:parser.mode,alt,width,height,totalheight,src}:parser.formatUnsupportedCmd("\\includegraphics")},htmlBuilder:(group,options)=>{var height=calculateSize(group.height,options),depth=0;group.totalheight.number>0&&(depth=calculateSize(group.totalheight,options)-height);var width=0;group.width.number>
+0&&(width=calculateSize(group.width,options));var style2={height:makeEm(height+depth)};width>0&&(style2.width=makeEm(width)),depth>0&&(style2.verticalAlign=makeEm(-depth));var node2=new Img(group.src,group.alt,style2);return node2.height=height,node2.depth=depth,node2},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mglyph",[]);node2.setAttribute("alt",group.alt);var height=calculateSize(group.height,options),depth=0;if(group.totalheight.number>0&&(depth=calculateSize(group.totalheight,
+options)-height,node2.setAttribute("valign",makeEm(-depth))),node2.setAttribute("height",makeEm(height+depth)),group.width.number>0){var width=calculateSize(group.width,options);node2.setAttribute("width",makeEm(width))}return node2.setAttribute("src",group.src),node2}});defineFunction({type:"kern",names:["\\kern","\\mkern","\\hskip","\\mskip"],props:{numArgs:1,argTypes:["size"],primitive:!0,allowedInText:!0},handler(_ref,args){var{parser,funcName}=_ref,size2=assertNodeType(args[0],"size");if(parser.
+settings.strict){var mathFunction=funcName[1]==="m",muUnit=size2.value.unit==="mu";mathFunction?(muUnit||parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" supports only mu units, "+("not "+size2.value.unit+" units")),parser.mode!=="math"&&parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" works only in math mode")):muUnit&&parser.settings.reportNonstrict("mathVsTextUnits","LaTeX's "+funcName+" doesn't support mu units")}return{type:"kern",mode:parser.mode,
+dimension:size2.value}},htmlBuilder(group,options){return buildCommon.makeGlue(group.dimension,options)},mathmlBuilder(group,options){var dimension=calculateSize(group.dimension,options);return new mathMLTree.SpaceNode(dimension)}});defineFunction({type:"lap",names:["\\mathllap","\\mathrlap","\\mathclap"],props:{numArgs:1,allowedInText:!0},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=args[0];return{type:"lap",mode:parser.mode,alignment:funcName.slice(5),body:body2}},htmlBuilder:(group,options)=>{
+var inner2;group.alignment==="clap"?(inner2=buildCommon.makeSpan([],[buildGroup$1(group.body,options)]),inner2=buildCommon.makeSpan(["inner"],[inner2],options)):inner2=buildCommon.makeSpan(["inner"],[buildGroup$1(group.body,options)]);var fix2=buildCommon.makeSpan(["fix"],[]),node2=buildCommon.makeSpan([group.alignment],[inner2,fix2],options),strut=buildCommon.makeSpan(["strut"]);return strut.style.height=makeEm(node2.height+node2.depth),node2.depth&&(strut.style.verticalAlign=makeEm(-node2.depth)),
+node2.children.unshift(strut),node2=buildCommon.makeSpan(["thinbox"],[node2],options),buildCommon.makeSpan(["mord","vbox"],[node2],options)},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]);if(group.alignment!=="rlap"){var offset2=group.alignment==="llap"?"-1":"-0.5";node2.setAttribute("lspace",offset2+"width")}return node2.setAttribute("width","0px"),node2}});defineFunction({type:"styling",names:["\\(","$"],props:{numArgs:0,allowedInText:!0,
+allowedInMath:!1},handler(_ref,args){var{funcName,parser}=_ref,outerMode=parser.mode;parser.switchMode("math");var close2=funcName==="\\("?"\\)":"$",body2=parser.parseExpression(!1,close2);return parser.expect(close2),parser.switchMode(outerMode),{type:"styling",mode:parser.mode,style:"text",body:body2}}});defineFunction({type:"text",names:["\\)","\\]"],props:{numArgs:0,allowedInText:!0,allowedInMath:!1},handler(context,args){throw new ParseError2("Mismatched "+context.funcName)}});var chooseMathStyle=(group,options)=>{
+switch(options.style.size){case Style$1.DISPLAY.size:return group.display;case Style$1.TEXT.size:return group.text;case Style$1.SCRIPT.size:return group.script;case Style$1.SCRIPTSCRIPT.size:return group.scriptscript;default:return group.text}};defineFunction({type:"mathchoice",names:["\\mathchoice"],props:{numArgs:4,primitive:!0},handler:(_ref,args)=>{var{parser}=_ref;return{type:"mathchoice",mode:parser.mode,display:ordargument(args[0]),text:ordargument(args[1]),script:ordargument(args[2]),scriptscript:ordargument(
+args[3])}},htmlBuilder:(group,options)=>{var body2=chooseMathStyle(group,options),elements=buildExpression$1(body2,options,!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>{var body2=chooseMathStyle(group,options);return buildExpressionRow(body2,options)}});var assembleSupSub=(base2,supGroup,subGroup,options,style2,slant,baseShift)=>{base2=buildCommon.makeSpan([],[base2]);var subIsSingleCharacter=subGroup&&utils.isCharacterBox(subGroup),sub2,sup2;if(supGroup){var elem=buildGroup$1(
+supGroup,options.havingStyle(style2.sup()),options);sup2={elem,kern:Math.max(options.fontMetrics().bigOpSpacing1,options.fontMetrics().bigOpSpacing3-elem.depth)}}if(subGroup){var _elem=buildGroup$1(subGroup,options.havingStyle(style2.sub()),options);sub2={elem:_elem,kern:Math.max(options.fontMetrics().bigOpSpacing2,options.fontMetrics().bigOpSpacing4-_elem.height)}}var finalGroup;if(sup2&&sub2){var bottom=options.fontMetrics().bigOpSpacing5+sub2.elem.height+sub2.elem.depth+sub2.kern+base2.depth+
+baseShift;finalGroup=buildCommon.makeVList({positionType:"bottom",positionData:bottom,children:[{type:"kern",size:options.fontMetrics().bigOpSpacing5},{type:"elem",elem:sub2.elem,marginLeft:makeEm(-slant)},{type:"kern",size:sub2.kern},{type:"elem",elem:base2},{type:"kern",size:sup2.kern},{type:"elem",elem:sup2.elem,marginLeft:makeEm(slant)},{type:"kern",size:options.fontMetrics().bigOpSpacing5}]},options)}else if(sub2){var top=base2.height-baseShift;finalGroup=buildCommon.makeVList({positionType:"\
+top",positionData:top,children:[{type:"kern",size:options.fontMetrics().bigOpSpacing5},{type:"elem",elem:sub2.elem,marginLeft:makeEm(-slant)},{type:"kern",size:sub2.kern},{type:"elem",elem:base2}]},options)}else if(sup2){var _bottom=base2.depth+baseShift;finalGroup=buildCommon.makeVList({positionType:"bottom",positionData:_bottom,children:[{type:"elem",elem:base2},{type:"kern",size:sup2.kern},{type:"elem",elem:sup2.elem,marginLeft:makeEm(slant)},{type:"kern",size:options.fontMetrics().bigOpSpacing5}]},
+options)}else return base2;var parts=[finalGroup];if(sub2&&slant!==0&&!subIsSingleCharacter){var spacer=buildCommon.makeSpan(["mspace"],[],options);spacer.style.marginRight=makeEm(slant),parts.unshift(spacer)}return buildCommon.makeSpan(["mop","op-limits"],parts,options)},noSuccessor=["\\smallint"],htmlBuilder$2=(grp,options)=>{var supGroup,subGroup,hasLimits=!1,group;grp.type==="supsub"?(supGroup=grp.sup,subGroup=grp.sub,group=assertNodeType(grp.base,"op"),hasLimits=!0):group=assertNodeType(grp,
+"op");var style2=options.style,large=!1;style2.size===Style$1.DISPLAY.size&&group.symbol&&!utils.contains(noSuccessor,group.name)&&(large=!0);var base2;if(group.symbol){var fontName=large?"Size2-Regular":"Size1-Regular",stash="";if((group.name==="\\oiint"||group.name==="\\oiiint")&&(stash=group.name.slice(1),group.name=stash==="oiint"?"\\iint":"\\iiint"),base2=buildCommon.makeSymbol(group.name,fontName,"math",options,["mop","op-symbol",large?"large-op":"small-op"]),stash.length>0){var italic=base2.
+italic,oval=buildCommon.staticSvg(stash+"Size"+(large?"2":"1"),options);base2=buildCommon.makeVList({positionType:"individualShift",children:[{type:"elem",elem:base2,shift:0},{type:"elem",elem:oval,shift:large?.08:0}]},options),group.name="\\"+stash,base2.classes.unshift("mop"),base2.italic=italic}}else if(group.body){var inner2=buildExpression$1(group.body,options,!0);inner2.length===1&&inner2[0]instanceof SymbolNode?(base2=inner2[0],base2.classes[0]="mop"):base2=buildCommon.makeSpan(["mop"],inner2,
+options)}else{for(var output=[],i=1;i<group.name.length;i++)output.push(buildCommon.mathsym(group.name[i],group.mode,options));base2=buildCommon.makeSpan(["mop"],output,options)}var baseShift=0,slant=0;return(base2 instanceof SymbolNode||group.name==="\\oiint"||group.name==="\\oiiint")&&!group.suppressBaseShift&&(baseShift=(base2.height-base2.depth)/2-options.fontMetrics().axisHeight,slant=base2.italic),hasLimits?assembleSupSub(base2,supGroup,subGroup,options,style2,slant,baseShift):(baseShift&&
+(base2.style.position="relative",base2.style.top=makeEm(baseShift)),base2)},mathmlBuilder$1=(group,options)=>{var node2;if(group.symbol)node2=new MathNode("mo",[makeText(group.name,group.mode)]),utils.contains(noSuccessor,group.name)&&node2.setAttribute("largeop","false");else if(group.body)node2=new MathNode("mo",buildExpression2(group.body,options));else{node2=new MathNode("mi",[new TextNode(group.name.slice(1))]);var operator2=new MathNode("mo",[makeText("⁡","text")]);group.parentIsSupSub?node2=
+new MathNode("mrow",[node2,operator2]):node2=newDocumentFragment([node2,operator2])}return node2},singleCharBigOps={"∏":"\\prod","∐":"\\coprod","∑":"\\sum","⋀":"\\bigwedge","⋁":"\\bigvee","⋂":"\\bigcap","⋃":"\\bigcup","⨀":"\\bigodot","⨁":"\\bigoplus","⨂":"\\bigotimes","⨄":"\\biguplus","⨆":"\\bigsqcup"};defineFunction({type:"op",names:["\\coprod","\\bigvee","\\bigwedge","\\biguplus","\\bigcap","\\bigcup","\\intop","\\prod","\\sum","\\bigotimes","\\bigoplus","\\bigodot","\\b\
+igsqcup","\\smallint","∏","∐","∑","⋀","⋁","⋂","⋃","⨀","⨁","⨂","⨄","⨆"],props:{numArgs:0},handler:(_ref,args)=>{var{parser,funcName}=_ref,fName=funcName;return fName.length===1&&(fName=singleCharBigOps[fName]),{type:"op",mode:parser.mode,limits:!0,parentIsSupSub:!1,symbol:!0,name:fName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\mathop"],props:{numArgs:1,primitive:!0},handler:(_ref2,args)=>{var{parser}=_ref2,body2=args[0];
+return{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!1,body:ordargument(body2)}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});var singleCharIntegrals={"∫":"\\int","∬":"\\iint","∭":"\\iiint","∮":"\\oint","∯":"\\oiint","∰":"\\oiiint"};defineFunction({type:"op",names:["\\arcsin","\\arccos","\\arctan","\\arctg","\\arcctg","\\arg","\\ch","\\cos","\\cosec","\\cosh","\\cot","\\cotg","\\coth","\\csc","\\ctg","\\cth","\\deg","\\dim","\\exp","\\hom","\\ker","\\lg",
+"\\ln","\\log","\\sec","\\sin","\\sinh","\\sh","\\tan","\\tanh","\\tg","\\th"],props:{numArgs:0},handler(_ref3){var{parser,funcName}=_ref3;return{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!1,name:funcName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\det","\\gcd","\\inf","\\lim","\\max","\\min","\\Pr","\\sup"],props:{numArgs:0},handler(_ref4){var{parser,funcName}=_ref4;return{type:"op",mode:parser.mode,limits:!0,parentIsSupSub:!1,
+symbol:!1,name:funcName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});defineFunction({type:"op",names:["\\int","\\iint","\\iiint","\\oint","\\oiint","\\oiiint","∫","∬","∭","∮","∯","∰"],props:{numArgs:0},handler(_ref5){var{parser,funcName}=_ref5,fName=funcName;return fName.length===1&&(fName=singleCharIntegrals[fName]),{type:"op",mode:parser.mode,limits:!1,parentIsSupSub:!1,symbol:!0,name:fName}},htmlBuilder:htmlBuilder$2,mathmlBuilder:mathmlBuilder$1});var htmlBuilder$1=(grp,options)=>{
+var supGroup,subGroup,hasLimits=!1,group;grp.type==="supsub"?(supGroup=grp.sup,subGroup=grp.sub,group=assertNodeType(grp.base,"operatorname"),hasLimits=!0):group=assertNodeType(grp,"operatorname");var base2;if(group.body.length>0){for(var body2=group.body.map(child3=>{var childText=child3.text;return typeof childText=="string"?{type:"textord",mode:child3.mode,text:childText}:child3}),expression=buildExpression$1(body2,options.withFont("mathrm"),!0),i=0;i<expression.length;i++){var child2=expression[i];
+child2 instanceof SymbolNode&&(child2.text=child2.text.replace(/\u2212/,"-").replace(/\u2217/,"*"))}base2=buildCommon.makeSpan(["mop"],expression,options)}else base2=buildCommon.makeSpan(["mop"],[],options);return hasLimits?assembleSupSub(base2,supGroup,subGroup,options,options.style,0,0):base2},mathmlBuilder2=(group,options)=>{for(var expression=buildExpression2(group.body,options.withFont("mathrm")),isAllString=!0,i=0;i<expression.length;i++){var node2=expression[i];if(!(node2 instanceof mathMLTree.
+SpaceNode))if(node2 instanceof mathMLTree.MathNode)switch(node2.type){case"mi":case"mn":case"ms":case"mspace":case"mtext":break;case"mo":{var child2=node2.children[0];node2.children.length===1&&child2 instanceof mathMLTree.TextNode?child2.text=child2.text.replace(/\u2212/,"-").replace(/\u2217/,"*"):isAllString=!1;break}default:isAllString=!1}else isAllString=!1}if(isAllString){var word=expression.map(node3=>node3.toText()).join("");expression=[new mathMLTree.TextNode(word)]}var identifier2=new mathMLTree.
+MathNode("mi",expression);identifier2.setAttribute("mathvariant","normal");var operator2=new mathMLTree.MathNode("mo",[makeText("⁡","text")]);return group.parentIsSupSub?new mathMLTree.MathNode("mrow",[identifier2,operator2]):mathMLTree.newDocumentFragment([identifier2,operator2])};defineFunction({type:"operatorname",names:["\\operatorname@","\\operatornamewithlimits"],props:{numArgs:1},handler:(_ref,args)=>{var{parser,funcName}=_ref,body2=args[0];return{type:"operatorname",mode:parser.mode,body:ordargument(
+body2),alwaysHandleSupSub:funcName==="\\operatornamewithlimits",limits:!1,parentIsSupSub:!1}},htmlBuilder:htmlBuilder$1,mathmlBuilder:mathmlBuilder2});defineMacro("\\operatorname","\\@ifstar\\operatornamewithlimits\\operatorname@");defineFunctionBuilders({type:"ordgroup",htmlBuilder(group,options){return group.semisimple?buildCommon.makeFragment(buildExpression$1(group.body,options,!1)):buildCommon.makeSpan(["mord"],buildExpression$1(group.body,options,!0),options)},mathmlBuilder(group,options){
+return buildExpressionRow(group.body,options,!0)}});defineFunction({type:"overline",names:["\\overline"],props:{numArgs:1},handler(_ref,args){var{parser}=_ref,body2=args[0];return{type:"overline",mode:parser.mode,body:body2}},htmlBuilder(group,options){var innerGroup=buildGroup$1(group.body,options.havingCrampedStyle()),line=buildCommon.makeLineSpan("overline-line",options),defaultRuleThickness=options.fontMetrics().defaultRuleThickness,vlist=buildCommon.makeVList({positionType:"firstBaseline",children:[
+{type:"elem",elem:innerGroup},{type:"kern",size:3*defaultRuleThickness},{type:"elem",elem:line},{type:"kern",size:defaultRuleThickness}]},options);return buildCommon.makeSpan(["mord","overline"],[vlist],options)},mathmlBuilder(group,options){var operator2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode("‾")]);operator2.setAttribute("stretchy","true");var node2=new mathMLTree.MathNode("mover",[buildGroup2(group.body,options),operator2]);return node2.setAttribute("accent","true"),node2}});
+defineFunction({type:"phantom",names:["\\phantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref,args)=>{var{parser}=_ref,body2=args[0];return{type:"phantom",mode:parser.mode,body:ordargument(body2)}},htmlBuilder:(group,options)=>{var elements=buildExpression$1(group.body,options.withPhantom(),!1);return buildCommon.makeFragment(elements)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(group.body,options);return new mathMLTree.MathNode("mphantom",inner2)}});defineFunction({type:"\
+hphantom",names:["\\hphantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref2,args)=>{var{parser}=_ref2,body2=args[0];return{type:"hphantom",mode:parser.mode,body:body2}},htmlBuilder:(group,options)=>{var node2=buildCommon.makeSpan([],[buildGroup$1(group.body,options.withPhantom())]);if(node2.height=0,node2.depth=0,node2.children)for(var i=0;i<node2.children.length;i++)node2.children[i].height=0,node2.children[i].depth=0;return node2=buildCommon.makeVList({positionType:"firstBaseline",children:[
+{type:"elem",elem:node2}]},options),buildCommon.makeSpan(["mord"],[node2],options)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(ordargument(group.body),options),phantom=new mathMLTree.MathNode("mphantom",inner2),node2=new mathMLTree.MathNode("mpadded",[phantom]);return node2.setAttribute("height","0px"),node2.setAttribute("depth","0px"),node2}});defineFunction({type:"vphantom",names:["\\vphantom"],props:{numArgs:1,allowedInText:!0},handler:(_ref3,args)=>{var{parser}=_ref3,body2=args[0];
+return{type:"vphantom",mode:parser.mode,body:body2}},htmlBuilder:(group,options)=>{var inner2=buildCommon.makeSpan(["inner"],[buildGroup$1(group.body,options.withPhantom())]),fix2=buildCommon.makeSpan(["fix"],[]);return buildCommon.makeSpan(["mord","rlap"],[inner2,fix2],options)},mathmlBuilder:(group,options)=>{var inner2=buildExpression2(ordargument(group.body),options),phantom=new mathMLTree.MathNode("mphantom",inner2),node2=new mathMLTree.MathNode("mpadded",[phantom]);return node2.setAttribute(
+"width","0px"),node2}});defineFunction({type:"raisebox",names:["\\raisebox"],props:{numArgs:2,argTypes:["size","hbox"],allowedInText:!0},handler(_ref,args){var{parser}=_ref,amount=assertNodeType(args[0],"size").value,body2=args[1];return{type:"raisebox",mode:parser.mode,dy:amount,body:body2}},htmlBuilder(group,options){var body2=buildGroup$1(group.body,options),dy=calculateSize(group.dy,options);return buildCommon.makeVList({positionType:"shift",positionData:-dy,children:[{type:"elem",elem:body2}]},
+options)},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]),dy=group.dy.number+group.dy.unit;return node2.setAttribute("voffset",dy),node2}});defineFunction({type:"internal",names:["\\relax"],props:{numArgs:0,allowedInText:!0,allowedInArgument:!0},handler(_ref){var{parser}=_ref;return{type:"internal",mode:parser.mode}}});defineFunction({type:"rule",names:["\\rule"],props:{numArgs:2,numOptionalArgs:1,allowedInText:!0,allowedInMath:!0,argTypes:[
+"size","size","size"]},handler(_ref,args,optArgs){var{parser}=_ref,shift2=optArgs[0],width=assertNodeType(args[0],"size"),height=assertNodeType(args[1],"size");return{type:"rule",mode:parser.mode,shift:shift2&&assertNodeType(shift2,"size").value,width:width.value,height:height.value}},htmlBuilder(group,options){var rule=buildCommon.makeSpan(["mord","rule"],[],options),width=calculateSize(group.width,options),height=calculateSize(group.height,options),shift2=group.shift?calculateSize(group.shift,
+options):0;return rule.style.borderRightWidth=makeEm(width),rule.style.borderTopWidth=makeEm(height),rule.style.bottom=makeEm(shift2),rule.width=width,rule.height=height+shift2,rule.depth=-shift2,rule.maxFontSize=height*1.125*options.sizeMultiplier,rule},mathmlBuilder(group,options){var width=calculateSize(group.width,options),height=calculateSize(group.height,options),shift2=group.shift?calculateSize(group.shift,options):0,color=options.color&&options.getColor()||"black",rule=new mathMLTree.MathNode(
+"mspace");rule.setAttribute("mathbackground",color),rule.setAttribute("width",makeEm(width)),rule.setAttribute("height",makeEm(height));var wrapper=new mathMLTree.MathNode("mpadded",[rule]);return shift2>=0?wrapper.setAttribute("height",makeEm(shift2)):(wrapper.setAttribute("height",makeEm(shift2)),wrapper.setAttribute("depth",makeEm(-shift2))),wrapper.setAttribute("voffset",makeEm(shift2)),wrapper}});function sizingGroup(value,options,baseOptions){for(var inner2=buildExpression$1(value,options,
+!1),multiplier=options.sizeMultiplier/baseOptions.sizeMultiplier,i=0;i<inner2.length;i++){var pos=inner2[i].classes.indexOf("sizing");pos<0?Array.prototype.push.apply(inner2[i].classes,options.sizingClasses(baseOptions)):inner2[i].classes[pos+1]==="reset-size"+options.size&&(inner2[i].classes[pos+1]="reset-size"+baseOptions.size),inner2[i].height*=multiplier,inner2[i].depth*=multiplier}return buildCommon.makeFragment(inner2)}var sizeFuncs=["\\tiny","\\sixptsize","\\scriptsize","\\footnotesize","\
+\\small","\\normalsize","\\large","\\Large","\\LARGE","\\huge","\\Huge"],htmlBuilder2=(group,options)=>{var newOptions=options.havingSize(group.size);return sizingGroup(group.body,newOptions,options)};defineFunction({type:"sizing",names:sizeFuncs,props:{numArgs:0,allowedInText:!0},handler:(_ref,args)=>{var{breakOnTokenText,funcName,parser}=_ref,body2=parser.parseExpression(!1,breakOnTokenText);return{type:"sizing",mode:parser.mode,size:sizeFuncs.indexOf(funcName)+1,body:body2}},htmlBuilder:htmlBuilder2,
+mathmlBuilder:(group,options)=>{var newOptions=options.havingSize(group.size),inner2=buildExpression2(group.body,newOptions),node2=new mathMLTree.MathNode("mstyle",inner2);return node2.setAttribute("mathsize",makeEm(newOptions.sizeMultiplier)),node2}});defineFunction({type:"smash",names:["\\smash"],props:{numArgs:1,numOptionalArgs:1,allowedInText:!0},handler:(_ref,args,optArgs)=>{var{parser}=_ref,smashHeight=!1,smashDepth=!1,tbArg=optArgs[0]&&assertNodeType(optArgs[0],"ordgroup");if(tbArg)for(var letter="",
+i=0;i<tbArg.body.length;++i){var node2=tbArg.body[i];if(letter=node2.text,letter==="t")smashHeight=!0;else if(letter==="b")smashDepth=!0;else{smashHeight=!1,smashDepth=!1;break}}else smashHeight=!0,smashDepth=!0;var body2=args[0];return{type:"smash",mode:parser.mode,body:body2,smashHeight,smashDepth}},htmlBuilder:(group,options)=>{var node2=buildCommon.makeSpan([],[buildGroup$1(group.body,options)]);if(!group.smashHeight&&!group.smashDepth)return node2;if(group.smashHeight&&(node2.height=0,node2.
+children))for(var i=0;i<node2.children.length;i++)node2.children[i].height=0;if(group.smashDepth&&(node2.depth=0,node2.children))for(var _i=0;_i<node2.children.length;_i++)node2.children[_i].depth=0;var smashedNode=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:node2}]},options);return buildCommon.makeSpan(["mord"],[smashedNode],options)},mathmlBuilder:(group,options)=>{var node2=new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)]);return group.smashHeight&&
+node2.setAttribute("height","0px"),group.smashDepth&&node2.setAttribute("depth","0px"),node2}});defineFunction({type:"sqrt",names:["\\sqrt"],props:{numArgs:1,numOptionalArgs:1},handler(_ref,args,optArgs){var{parser}=_ref,index2=optArgs[0],body2=args[0];return{type:"sqrt",mode:parser.mode,body:body2,index:index2}},htmlBuilder(group,options){var inner2=buildGroup$1(group.body,options.havingCrampedStyle());inner2.height===0&&(inner2.height=options.fontMetrics().xHeight),inner2=buildCommon.wrapFragment(
+inner2,options);var metrics=options.fontMetrics(),theta=metrics.defaultRuleThickness,phi=theta;options.style.id<Style$1.TEXT.id&&(phi=options.fontMetrics().xHeight);var lineClearance=theta+phi/4,minDelimiterHeight=inner2.height+inner2.depth+lineClearance+theta,{span:img,ruleWidth,advanceWidth}=delimiter.sqrtImage(minDelimiterHeight,options),delimDepth=img.height-ruleWidth;delimDepth>inner2.height+inner2.depth+lineClearance&&(lineClearance=(lineClearance+delimDepth-inner2.height-inner2.depth)/2);
+var imgShift=img.height-inner2.height-lineClearance-ruleWidth;inner2.style.paddingLeft=makeEm(advanceWidth);var body2=buildCommon.makeVList({positionType:"firstBaseline",children:[{type:"elem",elem:inner2,wrapperClasses:["svg-align"]},{type:"kern",size:-(inner2.height+imgShift)},{type:"elem",elem:img},{type:"kern",size:ruleWidth}]},options);if(group.index){var newOptions=options.havingStyle(Style$1.SCRIPTSCRIPT),rootm=buildGroup$1(group.index,newOptions,options),toShift=.6*(body2.height-body2.depth),
+rootVList=buildCommon.makeVList({positionType:"shift",positionData:-toShift,children:[{type:"elem",elem:rootm}]},options),rootVListWrap=buildCommon.makeSpan(["root"],[rootVList]);return buildCommon.makeSpan(["mord","sqrt"],[rootVListWrap,body2],options)}else return buildCommon.makeSpan(["mord","sqrt"],[body2],options)},mathmlBuilder(group,options){var{body:body2,index:index2}=group;return index2?new mathMLTree.MathNode("mroot",[buildGroup2(body2,options),buildGroup2(index2,options)]):new mathMLTree.
+MathNode("msqrt",[buildGroup2(body2,options)])}});var styleMap={display:Style$1.DISPLAY,text:Style$1.TEXT,script:Style$1.SCRIPT,scriptscript:Style$1.SCRIPTSCRIPT};defineFunction({type:"styling",names:["\\displaystyle","\\textstyle","\\scriptstyle","\\scriptscriptstyle"],props:{numArgs:0,allowedInText:!0,primitive:!0},handler(_ref,args){var{breakOnTokenText,funcName,parser}=_ref,body2=parser.parseExpression(!0,breakOnTokenText),style2=funcName.slice(1,funcName.length-5);return{type:"styling",mode:parser.
+mode,style:style2,body:body2}},htmlBuilder(group,options){var newStyle=styleMap[group.style],newOptions=options.havingStyle(newStyle).withFont("");return sizingGroup(group.body,newOptions,options)},mathmlBuilder(group,options){var newStyle=styleMap[group.style],newOptions=options.havingStyle(newStyle),inner2=buildExpression2(group.body,newOptions),node2=new mathMLTree.MathNode("mstyle",inner2),styleAttributes={display:["0","true"],text:["0","false"],script:["1","false"],scriptscript:["2","false"]},
+attr=styleAttributes[group.style];return node2.setAttribute("scriptlevel",attr[0]),node2.setAttribute("displaystyle",attr[1]),node2}});var htmlBuilderDelegate=function(group,options){var base2=group.base;if(base2)if(base2.type==="op"){var delegate2=base2.limits&&(options.style.size===Style$1.DISPLAY.size||base2.alwaysHandleSupSub);return delegate2?htmlBuilder$2:null}else if(base2.type==="operatorname"){var _delegate=base2.alwaysHandleSupSub&&(options.style.size===Style$1.DISPLAY.size||base2.limits);
+return _delegate?htmlBuilder$1:null}else{if(base2.type==="accent")return utils.isCharacterBox(base2.base)?htmlBuilder$a:null;if(base2.type==="horizBrace"){var isSup=!group.sub;return isSup===base2.isOver?htmlBuilder$3:null}else return null}else return null};defineFunctionBuilders({type:"supsub",htmlBuilder(group,options){var builderDelegate=htmlBuilderDelegate(group,options);if(builderDelegate)return builderDelegate(group,options);var{base:valueBase,sup:valueSup,sub:valueSub}=group,base2=buildGroup$1(
+valueBase,options),supm,subm,metrics=options.fontMetrics(),supShift=0,subShift=0,isCharacterBox3=valueBase&&utils.isCharacterBox(valueBase);if(valueSup){var newOptions=options.havingStyle(options.style.sup());supm=buildGroup$1(valueSup,newOptions,options),isCharacterBox3||(supShift=base2.height-newOptions.fontMetrics().supDrop*newOptions.sizeMultiplier/options.sizeMultiplier)}if(valueSub){var _newOptions=options.havingStyle(options.style.sub());subm=buildGroup$1(valueSub,_newOptions,options),isCharacterBox3||
+(subShift=base2.depth+_newOptions.fontMetrics().subDrop*_newOptions.sizeMultiplier/options.sizeMultiplier)}var minSupShift;options.style===Style$1.DISPLAY?minSupShift=metrics.sup1:options.style.cramped?minSupShift=metrics.sup3:minSupShift=metrics.sup2;var multiplier=options.sizeMultiplier,marginRight=makeEm(.5/metrics.ptPerEm/multiplier),marginLeft=null;if(subm){var isOiint=group.base&&group.base.type==="op"&&group.base.name&&(group.base.name==="\\oiint"||group.base.name==="\\oiiint");(base2 instanceof
+SymbolNode||isOiint)&&(marginLeft=makeEm(-base2.italic))}var supsub;if(supm&&subm){supShift=Math.max(supShift,minSupShift,supm.depth+.25*metrics.xHeight),subShift=Math.max(subShift,metrics.sub2);var ruleWidth=metrics.defaultRuleThickness,maxWidth=4*ruleWidth;if(supShift-supm.depth-(subm.height-subShift)<maxWidth){subShift=maxWidth-(supShift-supm.depth)+subm.height;var psi=.8*metrics.xHeight-(supShift-supm.depth);psi>0&&(supShift+=psi,subShift-=psi)}var vlistElem=[{type:"elem",elem:subm,shift:subShift,
+marginRight,marginLeft},{type:"elem",elem:supm,shift:-supShift,marginRight}];supsub=buildCommon.makeVList({positionType:"individualShift",children:vlistElem},options)}else if(subm){subShift=Math.max(subShift,metrics.sub1,subm.height-.8*metrics.xHeight);var _vlistElem=[{type:"elem",elem:subm,marginLeft,marginRight}];supsub=buildCommon.makeVList({positionType:"shift",positionData:subShift,children:_vlistElem},options)}else if(supm)supShift=Math.max(supShift,minSupShift,supm.depth+.25*metrics.xHeight),
+supsub=buildCommon.makeVList({positionType:"shift",positionData:-supShift,children:[{type:"elem",elem:supm,marginRight}]},options);else throw new Error("supsub must have either sup or sub.");var mclass=getTypeOfDomTree(base2,"right")||"mord";return buildCommon.makeSpan([mclass],[base2,buildCommon.makeSpan(["msupsub"],[supsub])],options)},mathmlBuilder(group,options){var isBrace=!1,isOver,isSup;group.base&&group.base.type==="horizBrace"&&(isSup=!!group.sup,isSup===group.base.isOver&&(isBrace=!0,isOver=
+group.base.isOver)),group.base&&(group.base.type==="op"||group.base.type==="operatorname")&&(group.base.parentIsSupSub=!0);var children=[buildGroup2(group.base,options)];group.sub&&children.push(buildGroup2(group.sub,options)),group.sup&&children.push(buildGroup2(group.sup,options));var nodeType;if(isBrace)nodeType=isOver?"mover":"munder";else if(group.sub)if(group.sup){var _base2=group.base;_base2&&_base2.type==="op"&&_base2.limits&&options.style===Style$1.DISPLAY||_base2&&_base2.type==="operat\
+orname"&&_base2.alwaysHandleSupSub&&(options.style===Style$1.DISPLAY||_base2.limits)?nodeType="munderover":nodeType="msubsup"}else{var _base=group.base;_base&&_base.type==="op"&&_base.limits&&(options.style===Style$1.DISPLAY||_base.alwaysHandleSupSub)||_base&&_base.type==="operatorname"&&_base.alwaysHandleSupSub&&(_base.limits||options.style===Style$1.DISPLAY)?nodeType="munder":nodeType="msub"}else{var base2=group.base;base2&&base2.type==="op"&&base2.limits&&(options.style===Style$1.DISPLAY||base2.
+alwaysHandleSupSub)||base2&&base2.type==="operatorname"&&base2.alwaysHandleSupSub&&(base2.limits||options.style===Style$1.DISPLAY)?nodeType="mover":nodeType="msup"}return new mathMLTree.MathNode(nodeType,children)}});defineFunctionBuilders({type:"atom",htmlBuilder(group,options){return buildCommon.mathsym(group.text,group.mode,options,["m"+group.family])},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mo",[makeText(group.text,group.mode)]);if(group.family==="bin"){var variant=getVariant(
+group,options);variant==="bold-italic"&&node2.setAttribute("mathvariant",variant)}else group.family==="punct"?node2.setAttribute("separator","true"):(group.family==="open"||group.family==="close")&&node2.setAttribute("stretchy","false");return node2}});var defaultVariant={mi:"italic",mn:"normal",mtext:"normal"};defineFunctionBuilders({type:"mathord",htmlBuilder(group,options){return buildCommon.makeOrd(group,options,"mathord")},mathmlBuilder(group,options){var node2=new mathMLTree.MathNode("mi",
+[makeText(group.text,group.mode,options)]),variant=getVariant(group,options)||"italic";return variant!==defaultVariant[node2.type]&&node2.setAttribute("mathvariant",variant),node2}});defineFunctionBuilders({type:"textord",htmlBuilder(group,options){return buildCommon.makeOrd(group,options,"textord")},mathmlBuilder(group,options){var text2=makeText(group.text,group.mode,options),variant=getVariant(group,options)||"normal",node2;return group.mode==="text"?node2=new mathMLTree.MathNode("mtext",[text2]):
+/[0-9]/.test(group.text)?node2=new mathMLTree.MathNode("mn",[text2]):group.text==="\\prime"?node2=new mathMLTree.MathNode("mo",[text2]):node2=new mathMLTree.MathNode("mi",[text2]),variant!==defaultVariant[node2.type]&&node2.setAttribute("mathvariant",variant),node2}});var cssSpace={"\\nobreak":"nobreak","\\allowbreak":"allowbreak"},regularSpace={" ":{},"\\ ":{},"~":{className:"nobreak"},"\\space":{},"\\nobreakspace":{className:"nobreak"}};defineFunctionBuilders({type:"spacing",htmlBuilder(group,options){
+if(regularSpace.hasOwnProperty(group.text)){var className=regularSpace[group.text].className||"";if(group.mode==="text"){var ord=buildCommon.makeOrd(group,options,"textord");return ord.classes.push(className),ord}else return buildCommon.makeSpan(["mspace",className],[buildCommon.mathsym(group.text,group.mode,options)],options)}else{if(cssSpace.hasOwnProperty(group.text))return buildCommon.makeSpan(["mspace",cssSpace[group.text]],[],options);throw new ParseError2('Unknown type of space "'+group.text+
+'"')}},mathmlBuilder(group,options){var node2;if(regularSpace.hasOwnProperty(group.text))node2=new mathMLTree.MathNode("mtext",[new mathMLTree.TextNode(" ")]);else{if(cssSpace.hasOwnProperty(group.text))return new mathMLTree.MathNode("mspace");throw new ParseError2('Unknown type of space "'+group.text+'"')}return node2}});var pad=()=>{var padNode=new mathMLTree.MathNode("mtd",[]);return padNode.setAttribute("width","50%"),padNode};defineFunctionBuilders({type:"tag",mathmlBuilder(group,options){
+var table2=new mathMLTree.MathNode("mtable",[new mathMLTree.MathNode("mtr",[pad(),new mathMLTree.MathNode("mtd",[buildExpressionRow(group.body,options)]),pad(),new mathMLTree.MathNode("mtd",[buildExpressionRow(group.tag,options)])])]);return table2.setAttribute("width","100%"),table2}});var textFontFamilies={"\\text":void 0,"\\textrm":"textrm","\\textsf":"textsf","\\texttt":"texttt","\\textnormal":"textrm"},textFontWeights={"\\textbf":"textbf","\\textmd":"textmd"},textFontShapes={"\\textit":"tex\
+tit","\\textup":"textup"},optionsWithFont=(group,options)=>{var font=group.font;if(font){if(textFontFamilies[font])return options.withTextFontFamily(textFontFamilies[font]);if(textFontWeights[font])return options.withTextFontWeight(textFontWeights[font]);if(font==="\\emph")return options.fontShape==="textit"?options.withTextFontShape("textup"):options.withTextFontShape("textit")}else return options;return options.withTextFontShape(textFontShapes[font])};defineFunction({type:"text",names:["\\text",
+"\\textrm","\\textsf","\\texttt","\\textnormal","\\textbf","\\textmd","\\textit","\\textup","\\emph"],props:{numArgs:1,argTypes:["text"],allowedInArgument:!0,allowedInText:!0},handler(_ref,args){var{parser,funcName}=_ref,body2=args[0];return{type:"text",mode:parser.mode,body:ordargument(body2),font:funcName}},htmlBuilder(group,options){var newOptions=optionsWithFont(group,options),inner2=buildExpression$1(group.body,newOptions,!0);return buildCommon.makeSpan(["mord","text"],inner2,newOptions)},mathmlBuilder(group,options){
+var newOptions=optionsWithFont(group,options);return buildExpressionRow(group.body,newOptions)}});defineFunction({type:"underline",names:["\\underline"],props:{numArgs:1,allowedInText:!0},handler(_ref,args){var{parser}=_ref;return{type:"underline",mode:parser.mode,body:args[0]}},htmlBuilder(group,options){var innerGroup=buildGroup$1(group.body,options),line=buildCommon.makeLineSpan("underline-line",options),defaultRuleThickness=options.fontMetrics().defaultRuleThickness,vlist=buildCommon.makeVList(
+{positionType:"top",positionData:innerGroup.height,children:[{type:"kern",size:defaultRuleThickness},{type:"elem",elem:line},{type:"kern",size:3*defaultRuleThickness},{type:"elem",elem:innerGroup}]},options);return buildCommon.makeSpan(["mord","underline"],[vlist],options)},mathmlBuilder(group,options){var operator2=new mathMLTree.MathNode("mo",[new mathMLTree.TextNode("‾")]);operator2.setAttribute("stretchy","true");var node2=new mathMLTree.MathNode("munder",[buildGroup2(group.body,options),operator2]);
+return node2.setAttribute("accentunder","true"),node2}});defineFunction({type:"vcenter",names:["\\vcenter"],props:{numArgs:1,argTypes:["original"],allowedInText:!1},handler(_ref,args){var{parser}=_ref;return{type:"vcenter",mode:parser.mode,body:args[0]}},htmlBuilder(group,options){var body2=buildGroup$1(group.body,options),axisHeight=options.fontMetrics().axisHeight,dy=.5*(body2.height-axisHeight-(body2.depth+axisHeight));return buildCommon.makeVList({positionType:"shift",positionData:dy,children:[
+{type:"elem",elem:body2}]},options)},mathmlBuilder(group,options){return new mathMLTree.MathNode("mpadded",[buildGroup2(group.body,options)],["vcenter"])}});defineFunction({type:"verb",names:["\\verb"],props:{numArgs:0,allowedInText:!0},handler(context,args,optArgs){throw new ParseError2("\\verb ended by end of line instead of matching delimiter")},htmlBuilder(group,options){for(var text2=makeVerb(group),body2=[],newOptions=options.havingStyle(options.style.text()),i=0;i<text2.length;i++){var c2=text2[i];
+c2==="~"&&(c2="\\textasciitilde"),body2.push(buildCommon.makeSymbol(c2,"Typewriter-Regular",group.mode,newOptions,["mord","texttt"]))}return buildCommon.makeSpan(["mord","text"].concat(newOptions.sizingClasses(options)),buildCommon.tryCombineChars(body2),newOptions)},mathmlBuilder(group,options){var text2=new mathMLTree.TextNode(makeVerb(group)),node2=new mathMLTree.MathNode("mtext",[text2]);return node2.setAttribute("mathvariant","monospace"),node2}});var makeVerb=group=>group.body.replace(/ /g,
+group.star?"␣":" "),functions=_functions,spaceRegexString=`[ \r
+	]`,controlWordRegexString="\\\\[a-zA-Z@]+",controlSymbolRegexString="\\\\[^\uD800-\uDFFF]",controlWordWhitespaceRegexString="("+controlWordRegexString+")"+spaceRegexString+"*",controlSpaceRegexString=`\\\\(
 |[ \r	]+
-?)[ \r	]*`,PA="[̀-ͯ]",DIe=new RegExp(PA+"+$"),PIe="("+WH+"+)|"+(MIe+"|")+"([!-\\[\\]-‧‪-퟿豈-￿]"+(PA+"*")+"|[\uD800-\uDBFF][\uDC00-\uDFFF]"+(PA+"*")+"|\\\\verb\\*([^]).*?\\4|\\\\verb([^*a-zA-Z]).*?\\5"+("|"+kIe)+("|"+IIe+")");class rL{constructor(e,t){this.input=void 0,this.settings=void 0,this.tokenRegex=void 0,this.catcodes=void 0,this.input=e,this.settings=t,this.tokenRegex=new RegExp(PIe,"g"),this.catcodes={"%":14,"~":13}}setCatcode(e,t){this.catcodes[e]=t}lex(){var e=this.input,t=this.tokenRegex.lastIndex;if(t===e.length)return new Oo("EOF",new Ws(this,t,t));var n=this.tokenRegex.exec(e);if(n===null||n.index!==t)throw new $t("Unexpected character: '"+e[t]+"'",new Oo(e[t],new Ws(this,t,t+1)));var a=n[6]||n[3]||(n[2]?"\\ ":" ");if(this.catcodes[a]===14){var i=e.indexOf(`
-`,this.tokenRegex.lastIndex);return i===-1?(this.tokenRegex.lastIndex=e.length,this.settings.reportNonstrict("commentAtEnd","% comment has no terminating newline; LaTeX would fail because of commenting the end of math mode (e.g. $)")):this.tokenRegex.lastIndex=i+1,this.lex()}return new Oo(a,new Ws(this,t,this.tokenRegex.lastIndex))}}class LIe{constructor(e,t){e===void 0&&(e={}),t===void 0&&(t={}),this.current=void 0,this.builtins=void 0,this.undefStack=void 0,this.current=t,this.builtins=e,this.undefStack=[]}beginGroup(){this.undefStack.push({})}endGroup(){if(this.undefStack.length===0)throw new $t("Unbalanced namespace destruction: attempt to pop global namespace; please report this as a bug");var e=this.undefStack.pop();for(var t in e)e.hasOwnProperty(t)&&(e[t]==null?delete this.current[t]:this.current[t]=e[t])}endGroups(){for(;this.undefStack.length>0;)this.endGroup()}has(e){return this.current.hasOwnProperty(e)||this.builtins.hasOwnProperty(e)}get(e){return this.current.hasOwnProperty(e)?this.current[e]:this.builtins[e]}set(e,t,n){if(n===void 0&&(n=!1),n){for(var a=0;a<this.undefStack.length;a++)delete this.undefStack[a][e];this.undefStack.length>0&&(this.undefStack[this.undefStack.length-1][e]=t)}else{var i=this.undefStack[this.undefStack.length-1];i&&!i.hasOwnProperty(e)&&(i[e]=this.current[e])}t==null?delete this.current[e]:this.current[e]=t}}var FIe=LH;Se("\\noexpand",function(r){var e=r.popToken();return r.isExpandable(e.text)&&(e.noexpand=!0,e.treatAsRelax=!0),{tokens:[e],numArgs:0}});Se("\\expandafter",function(r){var e=r.popToken();return r.expandOnce(!0),{tokens:[e],numArgs:0}});Se("\\@firstoftwo",function(r){var e=r.consumeArgs(2);return{tokens:e[0],numArgs:0}});Se("\\@secondoftwo",function(r){var e=r.consumeArgs(2);return{tokens:e[1],numArgs:0}});Se("\\@ifnextchar",function(r){var e=r.consumeArgs(3);r.consumeSpaces();var t=r.future();return e[0].length===1&&e[0][0].text===t.text?{tokens:e[1],numArgs:0}:{tokens:e[2],numArgs:0}});Se("\\@ifstar","\\@ifnextchar *{\\@firstoftwo{#1}}");Se("\\TextOrMath",function(r){var e=r.consumeArgs(2);return r.mode==="text"?{tokens:e[0],numArgs:0}:{tokens:e[1],numArgs:0}});var nL={0:0,1:1,2:2,3:3,4:4,5:5,6:6,7:7,8:8,9:9,a:10,A:10,b:11,B:11,c:12,C:12,d:13,D:13,e:14,E:14,f:15,F:15};Se("\\char",function(r){var e=r.popToken(),t,n="";if(e.text==="'")t=8,e=r.popToken();else if(e.text==='"')t=16,e=r.popToken();else if(e.text==="`")if(e=r.popToken(),e.text[0]==="\\")n=e.text.charCodeAt(1);else{if(e.text==="EOF")throw new $t("\\char` missing argument");n=e.text.charCodeAt(0)}else t=10;if(t){if(n=nL[e.text],n==null||n>=t)throw new $t("Invalid base-"+t+" digit "+e.text);for(var a;(a=nL[r.future().text])!=null&&a<t;)n*=t,n+=a,r.popToken()}return"\\@char{"+n+"}"});var m6=(r,e,t,n)=>{var a=r.consumeArg().tokens;if(a.length!==1)throw new $t("\\newcommand's first argument must be a macro name");var i=a[0].text,s=r.isDefined(i);if(s&&!e)throw new $t("\\newcommand{"+i+"} attempting to redefine "+(i+"; use \\renewcommand"));if(!s&&!t)throw new $t("\\renewcommand{"+i+"} when command "+i+" does not yet exist; use \\newcommand");var o=0;if(a=r.consumeArg().tokens,a.length===1&&a[0].text==="["){for(var l="",c=r.expandNextToken();c.text!=="]"&&c.text!=="EOF";)l+=c.text,c=r.expandNextToken();if(!l.match(/^\s*[0-9]+\s*$/))throw new $t("Invalid number of arguments: "+l);o=parseInt(l),a=r.consumeArg().tokens}return s&&n||r.macros.set(i,{tokens:a,numArgs:o}),""};Se("\\newcommand",r=>m6(r,!1,!0,!1));Se("\\renewcommand",r=>m6(r,!0,!1,!1));Se("\\providecommand",r=>m6(r,!0,!0,!0));Se("\\message",r=>{var e=r.consumeArgs(1)[0];return console.log(e.reverse().map(t=>t.text).join("")),""});Se("\\errmessage",r=>{var e=r.consumeArgs(1)[0];return console.error(e.reverse().map(t=>t.text).join("")),""});Se("\\show",r=>{var e=r.popToken(),t=e.text;return console.log(e,r.macros.get(t),wu[t],sa.math[t],sa.text[t]),""});Se("\\bgroup","{");Se("\\egroup","}");Se("~","\\nobreakspace");Se("\\lq","`");Se("\\rq","'");Se("\\aa","\\r a");Se("\\AA","\\r A");Se("\\textcopyright","\\html@mathml{\\textcircled{c}}{\\char`©}");Se("\\copyright","\\TextOrMath{\\textcopyright}{\\text{\\textcopyright}}");Se("\\textregistered","\\html@mathml{\\textcircled{\\scriptsize 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this.expandOnce(),this.future()}expandNextToken(){for(;;)if(this.expandOnce()===!1){var e=this.stack.pop();return e.treatAsRelax&&(e.text="\\relax"),e}throw new Error}expandMacro(e){return this.macros.has(e)?this.expandTokens([new Oo(e)]):void 0}expandTokens(e){var t=[],n=this.stack.length;for(this.pushTokens(e);this.stack.length>n;)if(this.expandOnce(!0)===!1){var a=this.stack.pop();a.treatAsRelax&&(a.noexpand=!1,a.treatAsRelax=!1),t.push(a)}return this.countExpansion(t.length),t}expandMacroAsText(e){var t=this.expandMacro(e);return t&&t.map(n=>n.text).join("")}_getExpansion(e){var t=this.macros.get(e);if(t==null)return t;if(e.length===1){var n=this.lexer.catcodes[e];if(n!=null&&n!==13)return}var a=typeof t=="function"?t(this):t;if(typeof a=="string"){var i=0;if(a.indexOf("#")!==-1)for(var s=a.replace(/##/g,"");s.indexOf("#"+(i+1))!==-1;)++i;for(var o=new rL(a,this.settings),l=[],c=o.lex();c.text!=="EOF";)l.push(c),c=o.lex();l.reverse();var u={tokens:l,numArgs:i};return u}return a}isDefined(e){return this.macros.has(e)||wu.hasOwnProperty(e)||sa.math.hasOwnProperty(e)||sa.text.hasOwnProperty(e)||XH.hasOwnProperty(e)}isExpandable(e){var t=this.macros.get(e);return t!=null?typeof t=="string"||typeof t=="function"||!t.unexpandable:wu.hasOwnProperty(e)&&!wu[e].primitive}}var iL=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,a_=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4","⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"ϕ","ᵡ":"χ","ᶿ":"θ"}),fC={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},sL={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class Iy{constructor(e,t){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new BIe(e,t,this.mode),this.settings=t,this.leftrightDepth=0}expect(e,t){if(t===void 0&&(t=!0),this.fetch().text!==e)throw new $t("Expected '"+e+"', got '"+this.fetch().text+"'",this.fetch());t&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(e){this.mode=e,this.gullet.switchMode(e)}parse(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var e=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),e}finally{this.gullet.endGroups()}}subparse(e){var t=this.nextToken;this.consume(),this.gullet.pushToken(new Oo("}")),this.gullet.pushTokens(e);var n=this.parseExpression(!1);return this.expect("}"),this.nextToken=t,n}parseExpression(e,t){for(var n=[];;){this.mode==="math"&&this.consumeSpaces();var a=this.fetch();if(Iy.endOfExpression.indexOf(a.text)!==-1||t&&a.text===t||e&&wu[a.text]&&wu[a.text].infix)break;var i=this.parseAtom(t);if(i){if(i.type==="internal")continue}else break;n.push(i)}return this.mode==="text"&&this.formLigatures(n),this.handleInfixNodes(n)}handleInfixNodes(e){for(var t=-1,n,a=0;a<e.length;a++)if(e[a].type==="infix"){if(t!==-1)throw new $t("only one infix operator per group",e[a].token);t=a,n=e[a].replaceWith}if(t!==-1&&n){var i,s,o=e.slice(0,t),l=e.slice(t+1);o.length===1&&o[0].type==="ordgroup"?i=o[0]:i={type:"ordgroup",mode:this.mode,body:o},l.length===1&&l[0].type==="ordgroup"?s=l[0]:s={type:"ordgroup",mode:this.mode,body:l};var c;return n==="\\\\abovefrac"?c=this.callFunction(n,[i,e[t],s],[]):c=this.callFunction(n,[i,s],[]),[c]}else return e}handleSupSubscript(e){var t=this.fetch(),n=t.text;this.consume(),this.consumeSpaces();var a;do{var i;a=this.parseGroup(e)}while(((i=a)==null?void 0:i.type)==="internal");if(!a)throw new $t("Expected group after '"+n+"'",t);return a}formatUnsupportedCmd(e){for(var t=[],n=0;n<e.length;n++)t.push({type:"textord",mode:"text",text:e[n]});var a={type:"text",mode:this.mode,body:t},i={type:"color",mode:this.mode,color:this.settings.errorColor,body:[a]};return i}parseAtom(e){var t=this.parseGroup("atom",e);if(t?.type==="internal"||this.mode==="text")return t;for(var n,a;;){this.consumeSpaces();var i=this.fetch();if(i.text==="\\limits"||i.text==="\\nolimits"){if(t&&t.type==="op"){var s=i.text==="\\limits";t.limits=s,t.alwaysHandleSupSub=!0}else if(t&&t.type==="operatorname")t.alwaysHandleSupSub&&(t.limits=i.text==="\\limits");else throw new $t("Limit controls must follow a math operator",i);this.consume()}else if(i.text==="^"){if(n)throw new $t("Double superscript",i);n=this.handleSupSubscript("superscript")}else if(i.text==="_"){if(a)throw new $t("Double subscript",i);a=this.handleSupSubscript("subscript")}else if(i.text==="'"){if(n)throw new $t("Double superscript",i);var o={type:"textord",mode:this.mode,text:"\\prime"},l=[o];for(this.consume();this.fetch().text==="'";)l.push(o),this.consume();this.fetch().text==="^"&&l.push(this.handleSupSubscript("superscript")),n={type:"ordgroup",mode:this.mode,body:l}}else if(a_[i.text]){var c=iL.test(i.text),u=[];for(u.push(new Oo(a_[i.text])),this.consume();;){var d=this.fetch().text;if(!a_[d]||iL.test(d)!==c)break;u.unshift(new Oo(a_[d])),this.consume()}var h=this.subparse(u);c?a={type:"ordgroup",mode:"math",body:h}:n={type:"ordgroup",mode:"math",body:h}}else break}return n||a?{type:"supsub",mode:this.mode,base:t,sup:n,sub:a}:t}parseFunction(e,t){var n=this.fetch(),a=n.text,i=wu[a];if(!i)return null;if(this.consume(),t&&t!=="atom"&&!i.allowedInArgument)throw new $t("Got function '"+a+"' with no arguments"+(t?" as "+t:""),n);if(this.mode==="text"&&!i.allowedInText)throw new $t("Can't use function '"+a+"' in text mode",n);if(this.mode==="math"&&i.allowedInMath===!1)throw new $t("Can't use function '"+a+"' in math mode",n);var{args:s,optArgs:o}=this.parseArguments(a,i);return this.callFunction(a,s,o,n,e)}callFunction(e,t,n,a,i){var s={funcName:e,parser:this,token:a,breakOnTokenText:i},o=wu[e];if(o&&o.handler)return o.handler(s,t,n);throw new $t("No function handler for "+e)}parseArguments(e,t){var n=t.numArgs+t.numOptionalArgs;if(n===0)return{args:[],optArgs:[]};for(var a=[],i=[],s=0;s<n;s++){var o=t.argTypes&&t.argTypes[s],l=s<t.numOptionalArgs;(t.primitive&&o==null||t.type==="sqrt"&&s===1&&i[0]==null)&&(o="primitive");var c=this.parseGroupOfType("argument to '"+e+"'",o,l);if(l)i.push(c);else if(c!=null)a.push(c);else throw new $t("Null argument, please report this as a bug")}return{args:a,optArgs:i}}parseGroupOfType(e,t,n){switch(t){case"color":return this.parseColorGroup(n);case"size":return this.parseSizeGroup(n);case"url":return this.parseUrlGroup(n);case"math":case"text":return this.parseArgumentGroup(n,t);case"hbox":{var a=this.parseArgumentGroup(n,"text");return a!=null?{type:"styling",mode:a.mode,body:[a],style:"text"}:null}case"raw":{var i=this.parseStringGroup("raw",n);return i!=null?{type:"raw",mode:"text",string:i.text}:null}case"primitive":{if(n)throw new $t("A primitive argument cannot be optional");var s=this.parseGroup(e);if(s==null)throw new $t("Expected group as "+e,this.fetch());return s}case"original":case null:case void 0:return this.parseArgumentGroup(n);default:throw new $t("Unknown group type as "+e,this.fetch())}}consumeSpaces(){for(;this.fetch().text===" ";)this.consume()}parseStringGroup(e,t){var n=this.gullet.scanArgument(t);if(n==null)return null;for(var a="",i;(i=this.fetch()).text!=="EOF";)a+=i.text,this.consume();return this.consume(),n.text=a,n}parseRegexGroup(e,t){for(var n=this.fetch(),a=n,i="",s;(s=this.fetch()).text!=="EOF"&&e.test(i+s.text);)a=s,i+=a.text,this.consume();if(i==="")throw new $t("Invalid "+t+": '"+n.text+"'",n);return n.range(a,i)}parseColorGroup(e){var t=this.parseStringGroup("color",e);if(t==null)return null;var n=/^(#[a-f0-9]{3}|#?[a-f0-9]{6}|[a-z]+)$/i.exec(t.text);if(!n)throw new $t("Invalid color: '"+t.text+"'",t);var a=n[0];return/^[0-9a-f]{6}$/i.test(a)&&(a="#"+a),{type:"color-token",mode:this.mode,color:a}}parseSizeGroup(e){var t,n=!1;if(this.gullet.consumeSpaces(),!e&&this.gullet.future().text!=="{"?t=this.parseRegexGroup(/^[-+]? *(?:$|\d+|\d+\.\d*|\.\d*) *[a-z]{0,2} *$/,"size"):t=this.parseStringGroup("size",e),!t)return null;!e&&t.text.length===0&&(t.text="0pt",n=!0);var a=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(t.text);if(!a)throw new $t("Invalid size: '"+t.text+"'",t);var i={number:+(a[1]+a[2]),unit:a[3]};if(!sH(i))throw new $t("Invalid unit: '"+i.unit+"'",t);return{type:"size",mode:this.mode,value:i,isBlank:n}}parseUrlGroup(e){this.gullet.lexer.setCatcode("%",13),this.gullet.lexer.setCatcode("~",12);var t=this.parseStringGroup("url",e);if(this.gullet.lexer.setCatcode("%",14),this.gullet.lexer.setCatcode("~",13),t==null)return null;var n=t.text.replace(/\\([#$%&~_^{}])/g,"$1");return{type:"url",mode:this.mode,url:n}}parseArgumentGroup(e,t){var n=this.gullet.scanArgument(e);if(n==null)return null;var a=this.mode;t&&this.switchMode(t),this.gullet.beginGroup();var i=this.parseExpression(!1,"EOF");this.expect("EOF"),this.gullet.endGroup();var s={type:"ordgroup",mode:this.mode,loc:n.loc,body:i};return t&&this.switchMode(a),s}parseGroup(e,t){var n=this.fetch(),a=n.text,i;if(a==="{"||a==="\\begingroup"){this.consume();var s=a==="{"?"}":"\\endgroup";this.gullet.beginGroup();var 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+thrlap{\\textrm{#1}}");defineMacro("\\clap","\\mathclap{\\textrm{#1}}");defineMacro("\\mathstrut","\\vphantom{(}");defineMacro("\\underbar","\\underline{\\text{#1}}");defineMacro("\\not",'\\html@mathml{\\mathrel{\\mathrlap\\@not}}{\\char"338}');defineMacro("\\neq","\\html@mathml{\\mathrel{\\not=}}{\\mathrel{\\char`≠}}");defineMacro("\\ne","\\neq");defineMacro("≠","\\neq");defineMacro("\\notin","\\html@mathml{\\mathrel{{\\in}\\mathllap{/\\mskip1mu}}}{\\mathrel{\\char`∉}}");defineMacro("∉",
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+"≞","\\html@mathml{\\stackrel{\\tiny\\mathrm{m}}{=}}{\\mathrel{\\char`≞}}");defineMacro("≟","\\html@mathml{\\stackrel{\\tiny?}{=}}{\\mathrel{\\char`≟}}");defineMacro("⟂","\\perp");defineMacro("‼","\\mathclose{!\\mkern-0.8mu!}");defineMacro("∌","\\notni");defineMacro("⌜","\\ulcorner");defineMacro("⌝","\\urcorner");defineMacro("⌞","\\llcorner");defineMacro("⌟","\\lrcorner");defineMacro("©","\\copyright");defineMacro("®","\\textregistered");defineMacro("️","\\textregistered");
+defineMacro("\\ulcorner",'\\html@mathml{\\@ulcorner}{\\mathop{\\char"231c}}');defineMacro("\\urcorner",'\\html@mathml{\\@urcorner}{\\mathop{\\char"231d}}');defineMacro("\\llcorner",'\\html@mathml{\\@llcorner}{\\mathop{\\char"231e}}');defineMacro("\\lrcorner",'\\html@mathml{\\@lrcorner}{\\mathop{\\char"231f}}');defineMacro("\\vdots","{\\varvdots\\rule{0pt}{15pt}}");defineMacro("⋮","\\vdots");defineMacro("\\varGamma","\\mathit{\\Gamma}");defineMacro("\\varDelta","\\mathit{\\Delta}");defineMacro(
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+unct{}\\mathchoice{\\mkern-3mu}{\\mkern-3mu}{}{}{:}\\mskip6mu\\relax");defineMacro("\\boxed","\\fbox{$\\displaystyle{#1}$}");defineMacro("\\iff","\\DOTSB\\;\\Longleftrightarrow\\;");defineMacro("\\implies","\\DOTSB\\;\\Longrightarrow\\;");defineMacro("\\impliedby","\\DOTSB\\;\\Longleftarrow\\;");defineMacro("\\dddot","{\\overset{\\raisebox{-0.1ex}{\\normalsize ...}}{#1}}");defineMacro("\\ddddot","{\\overset{\\raisebox{-0.1ex}{\\normalsize ....}}{#1}}");var dotsByToken={",":"\\dotsc","\\not":"\\do\
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+w":"\\dotsb","\\longleftrightarrow":"\\dotsb","\\Longleftrightarrow":"\\dotsb","\\mapsto":"\\dotsb","\\longmapsto":"\\dotsb","\\hookrightarrow":"\\dotsb","\\doteq":"\\dotsb","\\mathbin":"\\dotsb","\\mathrel":"\\dotsb","\\relbar":"\\dotsb","\\Relbar":"\\dotsb","\\xrightarrow":"\\dotsb","\\xleftarrow":"\\dotsb","\\DOTSI":"\\dotsi","\\int":"\\dotsi","\\oint":"\\dotsi","\\iint":"\\dotsi","\\iiint":"\\dotsi","\\iiiint":"\\dotsi","\\idotsint":"\\dotsi","\\DOTSX":"\\dotsx"};defineMacro("\\dots",function(context){
+var thedots="\\dotso",next2=context.expandAfterFuture().text;return next2 in dotsByToken?thedots=dotsByToken[next2]:(next2.slice(0,4)==="\\not"||next2 in symbols.math&&utils.contains(["bin","rel"],symbols.math[next2].group))&&(thedots="\\dotsb"),thedots});var spaceAfterDots={")":!0,"]":!0,"\\rbrack":!0,"\\}":!0,"\\rbrace":!0,"\\rangle":!0,"\\rceil":!0,"\\rfloor":!0,"\\rgroup":!0,"\\rmoustache":!0,"\\right":!0,"\\bigr":!0,"\\biggr":!0,"\\Bigr":!0,"\\Biggr":!0,$:!0,";":!0,".":!0,",":!0};defineMacro(
+"\\dotso",function(context){var next2=context.future().text;return next2 in spaceAfterDots?"\\ldots\\,":"\\ldots"});defineMacro("\\dotsc",function(context){var next2=context.future().text;return next2 in spaceAfterDots&&next2!==","?"\\ldots\\,":"\\ldots"});defineMacro("\\cdots",function(context){var next2=context.future().text;return next2 in spaceAfterDots?"\\@cdots\\,":"\\@cdots"});defineMacro("\\dotsb","\\cdots");defineMacro("\\dotsm","\\cdots");defineMacro("\\dotsi","\\!\\cdots");defineMacro(
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+f@tag"))throw new ParseError2("Multiple \\tag");return"\\gdef\\df@tag{\\text{#1}}"});defineMacro("\\bmod","\\mathchoice{\\mskip1mu}{\\mskip1mu}{\\mskip5mu}{\\mskip5mu}\\mathbin{\\rm mod}\\mathchoice{\\mskip1mu}{\\mskip1mu}{\\mskip5mu}{\\mskip5mu}");defineMacro("\\pod","\\allowbreak\\mathchoice{\\mkern18mu}{\\mkern8mu}{\\mkern8mu}{\\mkern8mu}(#1)");defineMacro("\\pmod","\\pod{{\\rm mod}\\mkern6mu#1}");defineMacro("\\mod","\\allowbreak\\mathchoice{\\mkern18mu}{\\mkern12mu}{\\mkern12mu}{\\mkern12mu}{\\rm \
+mod}\\,\\,#1");defineMacro("\\newline","\\\\\\relax");defineMacro("\\TeX","\\textrm{\\html@mathml{T\\kern-.1667em\\raisebox{-.5ex}{E}\\kern-.125emX}{TeX}}");var latexRaiseA=makeEm(fontMetricsData["Main-Regular"][84][1]-.7*fontMetricsData["Main-Regular"][65][1]);defineMacro("\\LaTeX","\\textrm{\\html@mathml{"+("L\\kern-.36em\\raisebox{"+latexRaiseA+"}{\\scriptstyle A}")+"\\kern-.15em\\TeX}{LaTeX}}");defineMacro("\\KaTeX","\\textrm{\\html@mathml{"+("K\\kern-.17em\\raisebox{"+latexRaiseA+"}{\\script\
+style A}")+"\\kern-.15em\\TeX}{KaTeX}}");defineMacro("\\hspace","\\@ifstar\\@hspacer\\@hspace");defineMacro("\\@hspace","\\hskip #1\\relax");defineMacro("\\@hspacer","\\rule{0pt}{0pt}\\hskip #1\\relax");defineMacro("\\ordinarycolon",":");defineMacro("\\vcentcolon","\\mathrel{\\mathop\\ordinarycolon}");defineMacro("\\dblcolon",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-.9mu}\\vcentcolon}}{\\mathop{\\char"2237}}');defineMacro("\\coloneqq",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mke\
+rn-1.2mu}=}}{\\mathop{\\char"2254}}');defineMacro("\\Coloneqq",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}=}}{\\mathop{\\char"2237\\char"3d}}');defineMacro("\\coloneq",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2mu}\\mathrel{-}}}{\\mathop{\\char"3a\\char"2212}}');defineMacro("\\Coloneq",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\mathrel{-}}}{\\mathop{\\char"2237\\char"2212}}');defineMacro("\\eqqcolon",'\\html@mathml{\\mathrel{=\\mathrel{\\mkern-1.2mu}\\\
+vcentcolon}}{\\mathop{\\char"2255}}');defineMacro("\\Eqqcolon",'\\html@mathml{\\mathrel{=\\mathrel{\\mkern-1.2mu}\\dblcolon}}{\\mathop{\\char"3d\\char"2237}}');defineMacro("\\eqcolon",'\\html@mathml{\\mathrel{\\mathrel{-}\\mathrel{\\mkern-1.2mu}\\vcentcolon}}{\\mathop{\\char"2239}}');defineMacro("\\Eqcolon",'\\html@mathml{\\mathrel{\\mathrel{-}\\mathrel{\\mkern-1.2mu}\\dblcolon}}{\\mathop{\\char"2212\\char"2237}}');defineMacro("\\colonapprox",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2\
+mu}\\approx}}{\\mathop{\\char"3a\\char"2248}}');defineMacro("\\Colonapprox",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\approx}}{\\mathop{\\char"2237\\char"2248}}');defineMacro("\\colonsim",'\\html@mathml{\\mathrel{\\vcentcolon\\mathrel{\\mkern-1.2mu}\\sim}}{\\mathop{\\char"3a\\char"223c}}');defineMacro("\\Colonsim",'\\html@mathml{\\mathrel{\\dblcolon\\mathrel{\\mkern-1.2mu}\\sim}}{\\mathop{\\char"2237\\char"223c}}');defineMacro("∷","\\dblcolon");defineMacro("∹","\\eqcolon");
+defineMacro("≔","\\coloneqq");defineMacro("≕","\\eqqcolon");defineMacro("⩴","\\Coloneqq");defineMacro("\\ratio","\\vcentcolon");defineMacro("\\coloncolon","\\dblcolon");defineMacro("\\colonequals","\\coloneqq");defineMacro("\\coloncolonequals","\\Coloneqq");defineMacro("\\equalscolon","\\eqqcolon");defineMacro("\\equalscoloncolon","\\Eqqcolon");defineMacro("\\colonminus","\\coloneq");defineMacro("\\coloncolonminus","\\Coloneq");defineMacro("\\minuscolon","\\eqcolon");defineMacro("\\minuscol\
+oncolon","\\Eqcolon");defineMacro("\\coloncolonapprox","\\Colonapprox");defineMacro("\\coloncolonsim","\\Colonsim");defineMacro("\\simcolon","\\mathrel{\\sim\\mathrel{\\mkern-1.2mu}\\vcentcolon}");defineMacro("\\simcoloncolon","\\mathrel{\\sim\\mathrel{\\mkern-1.2mu}\\dblcolon}");defineMacro("\\approxcolon","\\mathrel{\\approx\\mathrel{\\mkern-1.2mu}\\vcentcolon}");defineMacro("\\approxcoloncolon","\\mathrel{\\approx\\mathrel{\\mkern-1.2mu}\\dblcolon}");defineMacro("\\notni","\\html@mathml{\\not\\n\
+i}{\\mathrel{\\char`∌}}");defineMacro("\\limsup","\\DOTSB\\operatorname*{lim\\,sup}");defineMacro("\\liminf","\\DOTSB\\operatorname*{lim\\,inf}");defineMacro("\\injlim","\\DOTSB\\operatorname*{inj\\,lim}");defineMacro("\\projlim","\\DOTSB\\operatorname*{proj\\,lim}");defineMacro("\\varlimsup","\\DOTSB\\operatorname*{\\overline{lim}}");defineMacro("\\varliminf","\\DOTSB\\operatorname*{\\underline{lim}}");defineMacro("\\varinjlim","\\DOTSB\\operatorname*{\\underrightarrow{lim}}");defineMacro("\\v\
+arprojlim","\\DOTSB\\operatorname*{\\underleftarrow{lim}}");defineMacro("\\gvertneqq","\\html@mathml{\\@gvertneqq}{≩}");defineMacro("\\lvertneqq","\\html@mathml{\\@lvertneqq}{≨}");defineMacro("\\ngeqq","\\html@mathml{\\@ngeqq}{≱}");defineMacro("\\ngeqslant","\\html@mathml{\\@ngeqslant}{≱}");defineMacro("\\nleqq","\\html@mathml{\\@nleqq}{≰}");defineMacro("\\nleqslant","\\html@mathml{\\@nleqslant}{≰}");defineMacro("\\nshortmid","\\html@mathml{\\@nshortmid}{∤}");defineMacro("\\nshortpa\
+rallel","\\html@mathml{\\@nshortparallel}{∦}");defineMacro("\\nsubseteqq","\\html@mathml{\\@nsubseteqq}{⊈}");defineMacro("\\nsupseteqq","\\html@mathml{\\@nsupseteqq}{⊉}");defineMacro("\\varsubsetneq","\\html@mathml{\\@varsubsetneq}{⊊}");defineMacro("\\varsubsetneqq","\\html@mathml{\\@varsubsetneqq}{⫋}");defineMacro("\\varsupsetneq","\\html@mathml{\\@varsupsetneq}{⊋}");defineMacro("\\varsupsetneqq","\\html@mathml{\\@varsupsetneqq}{⫌}");defineMacro("\\imath","\\html@mathml{\\@imath}{ı}");
+defineMacro("\\jmath","\\html@mathml{\\@jmath}{ȷ}");defineMacro("\\llbracket","\\html@mathml{\\mathopen{[\\mkern-3.2mu[}}{\\mathopen{\\char`⟦}}");defineMacro("\\rrbracket","\\html@mathml{\\mathclose{]\\mkern-3.2mu]}}{\\mathclose{\\char`⟧}}");defineMacro("⟦","\\llbracket");defineMacro("⟧","\\rrbracket");defineMacro("\\lBrace","\\html@mathml{\\mathopen{\\{\\mkern-3.2mu[}}{\\mathopen{\\char`⦃}}");defineMacro("\\rBrace","\\html@mathml{\\mathclose{]\\mkern-3.2mu\\}}}{\\mathclose{\\char`⦄}}");
+defineMacro("⦃","\\lBrace");defineMacro("⦄","\\rBrace");defineMacro("\\minuso","\\mathbin{\\html@mathml{{\\mathrlap{\\mathchoice{\\kern{0.145em}}{\\kern{0.145em}}{\\kern{0.1015em}}{\\kern{0.0725em}}\\circ}{-}}}{\\char`⦵}}");defineMacro("⦵","\\minuso");defineMacro("\\darr","\\downarrow");defineMacro("\\dArr","\\Downarrow");defineMacro("\\Darr","\\Downarrow");defineMacro("\\lang","\\langle");defineMacro("\\rang","\\rangle");defineMacro("\\uarr","\\uparrow");defineMacro("\\uArr","\\Uparrow");
+defineMacro("\\Uarr","\\Uparrow");defineMacro("\\N","\\mathbb{N}");defineMacro("\\R","\\mathbb{R}");defineMacro("\\Z","\\mathbb{Z}");defineMacro("\\alef","\\aleph");defineMacro("\\alefsym","\\aleph");defineMacro("\\Alpha","\\mathrm{A}");defineMacro("\\Beta","\\mathrm{B}");defineMacro("\\bull","\\bullet");defineMacro("\\Chi","\\mathrm{X}");defineMacro("\\clubs","\\clubsuit");defineMacro("\\cnums","\\mathbb{C}");defineMacro("\\Complex","\\mathbb{C}");defineMacro("\\Dagger","\\ddagger");defineMacro(
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+defineMacro("\\larr","\\leftarrow");defineMacro("\\lArr","\\Leftarrow");defineMacro("\\Larr","\\Leftarrow");defineMacro("\\lrarr","\\leftrightarrow");defineMacro("\\lrArr","\\Leftrightarrow");defineMacro("\\Lrarr","\\Leftrightarrow");defineMacro("\\Mu","\\mathrm{M}");defineMacro("\\natnums","\\mathbb{N}");defineMacro("\\Nu","\\mathrm{N}");defineMacro("\\Omicron","\\mathrm{O}");defineMacro("\\plusmn","\\pm");defineMacro("\\rarr","\\rightarrow");defineMacro("\\rArr","\\Rightarrow");defineMacro("\\R\
+arr","\\Rightarrow");defineMacro("\\real","\\Re");defineMacro("\\reals","\\mathbb{R}");defineMacro("\\Reals","\\mathbb{R}");defineMacro("\\Rho","\\mathrm{P}");defineMacro("\\sdot","\\cdot");defineMacro("\\sect","\\S");defineMacro("\\spades","\\spadesuit");defineMacro("\\sub","\\subset");defineMacro("\\sube","\\subseteq");defineMacro("\\supe","\\supseteq");defineMacro("\\Tau","\\mathrm{T}");defineMacro("\\thetasym","\\vartheta");defineMacro("\\weierp","\\wp");defineMacro("\\Zeta","\\mathrm{Z}");defineMacro(
+"\\argmin","\\DOTSB\\operatorname*{arg\\,min}");defineMacro("\\argmax","\\DOTSB\\operatorname*{arg\\,max}");defineMacro("\\plim","\\DOTSB\\mathop{\\operatorname{plim}}\\limits");defineMacro("\\bra","\\mathinner{\\langle{#1}|}");defineMacro("\\ket","\\mathinner{|{#1}\\rangle}");defineMacro("\\braket","\\mathinner{\\langle{#1}\\rangle}");defineMacro("\\Bra","\\left\\langle#1\\right|");defineMacro("\\Ket","\\left|#1\\right\\rangle");var braketHelper=one2=>context=>{var left=context.consumeArg().tokens,
+middle=context.consumeArg().tokens,middleDouble=context.consumeArg().tokens,right=context.consumeArg().tokens,oldMiddle=context.macros.get("|"),oldMiddleDouble=context.macros.get("\\|");context.macros.beginGroup();var midMacro=double=>context2=>{one2&&(context2.macros.set("|",oldMiddle),middleDouble.length&&context2.macros.set("\\|",oldMiddleDouble));var doubled=double;if(!double&&middleDouble.length){var nextToken=context2.future();nextToken.text==="|"&&(context2.popToken(),doubled=!0)}return{tokens:doubled?
+middleDouble:middle,numArgs:0}};context.macros.set("|",midMacro(!1)),middleDouble.length&&context.macros.set("\\|",midMacro(!0));var arg=context.consumeArg().tokens,expanded=context.expandTokens([...right,...arg,...left]);return context.macros.endGroup(),{tokens:expanded.reverse(),numArgs:0}};defineMacro("\\bra@ket",braketHelper(!1));defineMacro("\\bra@set",braketHelper(!0));defineMacro("\\Braket","\\bra@ket{\\left\\langle}{\\,\\middle\\vert\\,}{\\,\\middle\\vert\\,}{\\right\\rangle}");defineMacro(
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+purple","\\textcolor{##9d38bd}{#1}");defineMacro("\\blueA","\\textcolor{##ccfaff}{#1}");defineMacro("\\blueB","\\textcolor{##80f6ff}{#1}");defineMacro("\\blueC","\\textcolor{##63d9ea}{#1}");defineMacro("\\blueD","\\textcolor{##11accd}{#1}");defineMacro("\\blueE","\\textcolor{##0c7f99}{#1}");defineMacro("\\tealA","\\textcolor{##94fff5}{#1}");defineMacro("\\tealB","\\textcolor{##26edd5}{#1}");defineMacro("\\tealC","\\textcolor{##01d1c1}{#1}");defineMacro("\\tealD","\\textcolor{##01a995}{#1}");defineMacro(
+"\\tealE","\\textcolor{##208170}{#1}");defineMacro("\\greenA","\\textcolor{##b6ffb0}{#1}");defineMacro("\\greenB","\\textcolor{##8af281}{#1}");defineMacro("\\greenC","\\textcolor{##74cf70}{#1}");defineMacro("\\greenD","\\textcolor{##1fab54}{#1}");defineMacro("\\greenE","\\textcolor{##0d923f}{#1}");defineMacro("\\goldA","\\textcolor{##ffd0a9}{#1}");defineMacro("\\goldB","\\textcolor{##ffbb71}{#1}");defineMacro("\\goldC","\\textcolor{##ff9c39}{#1}");defineMacro("\\goldD","\\textcolor{##e07d10}{#1}");
+defineMacro("\\goldE","\\textcolor{##a75a05}{#1}");defineMacro("\\redA","\\textcolor{##fca9a9}{#1}");defineMacro("\\redB","\\textcolor{##ff8482}{#1}");defineMacro("\\redC","\\textcolor{##f9685d}{#1}");defineMacro("\\redD","\\textcolor{##e84d39}{#1}");defineMacro("\\redE","\\textcolor{##bc2612}{#1}");defineMacro("\\maroonA","\\textcolor{##ffbde0}{#1}");defineMacro("\\maroonB","\\textcolor{##ff92c6}{#1}");defineMacro("\\maroonC","\\textcolor{##ed5fa6}{#1}");defineMacro("\\maroonD","\\textcolor{##ca\
+337c}{#1}");defineMacro("\\maroonE","\\textcolor{##9e034e}{#1}");defineMacro("\\purpleA","\\textcolor{##ddd7ff}{#1}");defineMacro("\\purpleB","\\textcolor{##c6b9fc}{#1}");defineMacro("\\purpleC","\\textcolor{##aa87ff}{#1}");defineMacro("\\purpleD","\\textcolor{##7854ab}{#1}");defineMacro("\\purpleE","\\textcolor{##543b78}{#1}");defineMacro("\\mintA","\\textcolor{##f5f9e8}{#1}");defineMacro("\\mintB","\\textcolor{##edf2df}{#1}");defineMacro("\\mintC","\\textcolor{##e0e5cc}{#1}");defineMacro("\\gra\
+yA","\\textcolor{##f6f7f7}{#1}");defineMacro("\\grayB","\\textcolor{##f0f1f2}{#1}");defineMacro("\\grayC","\\textcolor{##e3e5e6}{#1}");defineMacro("\\grayD","\\textcolor{##d6d8da}{#1}");defineMacro("\\grayE","\\textcolor{##babec2}{#1}");defineMacro("\\grayF","\\textcolor{##888d93}{#1}");defineMacro("\\grayG","\\textcolor{##626569}{#1}");defineMacro("\\grayH","\\textcolor{##3b3e40}{#1}");defineMacro("\\grayI","\\textcolor{##21242c}{#1}");defineMacro("\\kaBlue","\\textcolor{##314453}{#1}");defineMacro(
+"\\kaGreen","\\textcolor{##71B307}{#1}");var implicitCommands={"^":!0,_:!0,"\\limits":!0,"\\nolimits":!0};class MacroExpander{constructor(input,settings,mode){this.settings=void 0,this.expansionCount=void 0,this.lexer=void 0,this.macros=void 0,this.stack=void 0,this.mode=void 0,this.settings=settings,this.expansionCount=0,this.feed(input),this.macros=new Namespace(macros,settings.macros),this.mode=mode,this.stack=[]}feed(input){this.lexer=new Lexer(input,this.settings)}switchMode(newMode){this.mode=
+newMode}beginGroup(){this.macros.beginGroup()}endGroup(){this.macros.endGroup()}endGroups(){this.macros.endGroups()}future(){return this.stack.length===0&&this.pushToken(this.lexer.lex()),this.stack[this.stack.length-1]}popToken(){return this.future(),this.stack.pop()}pushToken(token2){this.stack.push(token2)}pushTokens(tokens){this.stack.push(...tokens)}scanArgument(isOptional){var start2,end,tokens;if(isOptional){if(this.consumeSpaces(),this.future().text!=="[")return null;start2=this.popToken(),
+{tokens,end}=this.consumeArg(["]"])}else({tokens,start:start2,end}=this.consumeArg());return this.pushToken(new Token("EOF",end.loc)),this.pushTokens(tokens),start2.range(end,"")}consumeSpaces(){for(;;){var token2=this.future();if(token2.text===" ")this.stack.pop();else break}}consumeArg(delims){var tokens=[],isDelimited=delims&&delims.length>0;isDelimited||this.consumeSpaces();var start2=this.future(),tok,depth=0,match=0;do{if(tok=this.popToken(),tokens.push(tok),tok.text==="{")++depth;else if(tok.
+text==="}"){if(--depth,depth===-1)throw new ParseError2("Extra }",tok)}else if(tok.text==="EOF")throw new ParseError2("Unexpected end of input in a macro argument, expected '"+(delims&&isDelimited?delims[match]:"}")+"'",tok);if(delims&&isDelimited)if((depth===0||depth===1&&delims[match]==="{")&&tok.text===delims[match]){if(++match,match===delims.length){tokens.splice(-match,match);break}}else match=0}while(depth!==0||isDelimited);return start2.text==="{"&&tokens[tokens.length-1].text==="}"&&(tokens.
+pop(),tokens.shift()),tokens.reverse(),{tokens,start:start2,end:tok}}consumeArgs(numArgs,delimiters2){if(delimiters2){if(delimiters2.length!==numArgs+1)throw new ParseError2("The length of delimiters doesn't match the number of args!");for(var delims=delimiters2[0],i=0;i<delims.length;i++){var tok=this.popToken();if(delims[i]!==tok.text)throw new ParseError2("Use of the macro doesn't match its definition",tok)}}for(var args=[],_i=0;_i<numArgs;_i++)args.push(this.consumeArg(delimiters2&&delimiters2[_i+
+1]).tokens);return args}countExpansion(amount){if(this.expansionCount+=amount,this.expansionCount>this.settings.maxExpand)throw new ParseError2("Too many expansions: infinite loop or need to increase maxExpand setting")}expandOnce(expandableOnly){var topToken=this.popToken(),name=topToken.text,expansion=topToken.noexpand?null:this._getExpansion(name);if(expansion==null||expandableOnly&&expansion.unexpandable){if(expandableOnly&&expansion==null&&name[0]==="\\"&&!this.isDefined(name))throw new ParseError2(
+"Undefined control sequence: "+name);return this.pushToken(topToken),!1}this.countExpansion(1);var tokens=expansion.tokens,args=this.consumeArgs(expansion.numArgs,expansion.delimiters);if(expansion.numArgs){tokens=tokens.slice();for(var i=tokens.length-1;i>=0;--i){var tok=tokens[i];if(tok.text==="#"){if(i===0)throw new ParseError2("Incomplete placeholder at end of macro body",tok);if(tok=tokens[--i],tok.text==="#")tokens.splice(i+1,1);else if(/^[1-9]$/.test(tok.text))tokens.splice(i,2,...args[+tok.
+text-1]);else throw new ParseError2("Not a valid argument number",tok)}}}return this.pushTokens(tokens),tokens.length}expandAfterFuture(){return this.expandOnce(),this.future()}expandNextToken(){for(;;)if(this.expandOnce()===!1){var token2=this.stack.pop();return token2.treatAsRelax&&(token2.text="\\relax"),token2}throw new Error}expandMacro(name){return this.macros.has(name)?this.expandTokens([new Token(name)]):void 0}expandTokens(tokens){var output=[],oldStackLength=this.stack.length;for(this.
+pushTokens(tokens);this.stack.length>oldStackLength;)if(this.expandOnce(!0)===!1){var token2=this.stack.pop();token2.treatAsRelax&&(token2.noexpand=!1,token2.treatAsRelax=!1),output.push(token2)}return this.countExpansion(output.length),output}expandMacroAsText(name){var tokens=this.expandMacro(name);return tokens&&tokens.map(token2=>token2.text).join("")}_getExpansion(name){var definition2=this.macros.get(name);if(definition2==null)return definition2;if(name.length===1){var catcode=this.lexer.catcodes[name];
+if(catcode!=null&&catcode!==13)return}var expansion=typeof definition2=="function"?definition2(this):definition2;if(typeof expansion=="string"){var numArgs=0;if(expansion.indexOf("#")!==-1)for(var stripped=expansion.replace(/##/g,"");stripped.indexOf("#"+(numArgs+1))!==-1;)++numArgs;for(var bodyLexer=new Lexer(expansion,this.settings),tokens=[],tok=bodyLexer.lex();tok.text!=="EOF";)tokens.push(tok),tok=bodyLexer.lex();tokens.reverse();var expanded={tokens,numArgs};return expanded}return expansion}isDefined(name){
+return this.macros.has(name)||functions.hasOwnProperty(name)||symbols.math.hasOwnProperty(name)||symbols.text.hasOwnProperty(name)||implicitCommands.hasOwnProperty(name)}isExpandable(name){var macro=this.macros.get(name);return macro!=null?typeof macro=="string"||typeof macro=="function"||!macro.unexpandable:functions.hasOwnProperty(name)&&!functions[name].primitive}}var unicodeSubRegEx=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,
+uSubsAndSups=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4",
+"⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"\
+ϕ","ᵡ":"χ","ᶿ":"θ"}),unicodeAccents={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},unicodeSymbols={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",
+ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"\
+í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",
+ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"\
+Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"\
+Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",
+Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"\
+ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class Parser{constructor(input,settings){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new MacroExpander(
+input,settings,this.mode),this.settings=settings,this.leftrightDepth=0}expect(text2,consume){if(consume===void 0&&(consume=!0),this.fetch().text!==text2)throw new ParseError2("Expected '"+text2+"', got '"+this.fetch().text+"'",this.fetch());consume&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(newMode){this.mode=newMode,this.gullet.switchMode(newMode)}parse(){this.settings.globalGroup||this.
+gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var parse2=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),parse2}finally{this.gullet.endGroups()}}subparse(tokens){var oldToken=this.nextToken;this.consume(),this.gullet.pushToken(new Token("}")),this.gullet.pushTokens(tokens);var parse2=this.parseExpression(!1);return this.expect("}"),this.nextToken=oldToken,parse2}parseExpression(breakOnInfix,breakOnTokenText){
+for(var body2=[];;){this.mode==="math"&&this.consumeSpaces();var lex=this.fetch();if(Parser.endOfExpression.indexOf(lex.text)!==-1||breakOnTokenText&&lex.text===breakOnTokenText||breakOnInfix&&functions[lex.text]&&functions[lex.text].infix)break;var atom=this.parseAtom(breakOnTokenText);if(atom){if(atom.type==="internal")continue}else break;body2.push(atom)}return this.mode==="text"&&this.formLigatures(body2),this.handleInfixNodes(body2)}handleInfixNodes(body2){for(var overIndex=-1,funcName,i=0;i<
+body2.length;i++)if(body2[i].type==="infix"){if(overIndex!==-1)throw new ParseError2("only one infix operator per group",body2[i].token);overIndex=i,funcName=body2[i].replaceWith}if(overIndex!==-1&&funcName){var numerNode,denomNode,numerBody=body2.slice(0,overIndex),denomBody=body2.slice(overIndex+1);numerBody.length===1&&numerBody[0].type==="ordgroup"?numerNode=numerBody[0]:numerNode={type:"ordgroup",mode:this.mode,body:numerBody},denomBody.length===1&&denomBody[0].type==="ordgroup"?denomNode=denomBody[0]:
+denomNode={type:"ordgroup",mode:this.mode,body:denomBody};var node2;return funcName==="\\\\abovefrac"?node2=this.callFunction(funcName,[numerNode,body2[overIndex],denomNode],[]):node2=this.callFunction(funcName,[numerNode,denomNode],[]),[node2]}else return body2}handleSupSubscript(name){var symbolToken=this.fetch(),symbol=symbolToken.text;this.consume(),this.consumeSpaces();var group;do{var _group;group=this.parseGroup(name)}while(((_group=group)==null?void 0:_group.type)==="internal");if(!group)
+throw new ParseError2("Expected group after '"+symbol+"'",symbolToken);return group}formatUnsupportedCmd(text2){for(var textordArray=[],i=0;i<text2.length;i++)textordArray.push({type:"textord",mode:"text",text:text2[i]});var textNode={type:"text",mode:this.mode,body:textordArray},colorNode={type:"color",mode:this.mode,color:this.settings.errorColor,body:[textNode]};return colorNode}parseAtom(breakOnTokenText){var base2=this.parseGroup("atom",breakOnTokenText);if(base2?.type==="internal"||this.mode===
+"text")return base2;for(var superscript,subscript;;){this.consumeSpaces();var lex=this.fetch();if(lex.text==="\\limits"||lex.text==="\\nolimits"){if(base2&&base2.type==="op"){var limits=lex.text==="\\limits";base2.limits=limits,base2.alwaysHandleSupSub=!0}else if(base2&&base2.type==="operatorname")base2.alwaysHandleSupSub&&(base2.limits=lex.text==="\\limits");else throw new ParseError2("Limit controls must follow a math operator",lex);this.consume()}else if(lex.text==="^"){if(superscript)throw new ParseError2(
+"Double superscript",lex);superscript=this.handleSupSubscript("superscript")}else if(lex.text==="_"){if(subscript)throw new ParseError2("Double subscript",lex);subscript=this.handleSupSubscript("subscript")}else if(lex.text==="'"){if(superscript)throw new ParseError2("Double superscript",lex);var prime={type:"textord",mode:this.mode,text:"\\prime"},primes=[prime];for(this.consume();this.fetch().text==="'";)primes.push(prime),this.consume();this.fetch().text==="^"&&primes.push(this.handleSupSubscript(
+"superscript")),superscript={type:"ordgroup",mode:this.mode,body:primes}}else if(uSubsAndSups[lex.text]){var isSub=unicodeSubRegEx.test(lex.text),subsupTokens=[];for(subsupTokens.push(new Token(uSubsAndSups[lex.text])),this.consume();;){var token2=this.fetch().text;if(!uSubsAndSups[token2]||unicodeSubRegEx.test(token2)!==isSub)break;subsupTokens.unshift(new Token(uSubsAndSups[token2])),this.consume()}var body2=this.subparse(subsupTokens);isSub?subscript={type:"ordgroup",mode:"math",body:body2}:superscript=
+{type:"ordgroup",mode:"math",body:body2}}else break}return superscript||subscript?{type:"supsub",mode:this.mode,base:base2,sup:superscript,sub:subscript}:base2}parseFunction(breakOnTokenText,name){var token2=this.fetch(),func=token2.text,funcData=functions[func];if(!funcData)return null;if(this.consume(),name&&name!=="atom"&&!funcData.allowedInArgument)throw new ParseError2("Got function '"+func+"' with no arguments"+(name?" as "+name:""),token2);if(this.mode==="text"&&!funcData.allowedInText)throw new ParseError2(
+"Can't use function '"+func+"' in text mode",token2);if(this.mode==="math"&&funcData.allowedInMath===!1)throw new ParseError2("Can't use function '"+func+"' in math mode",token2);var{args,optArgs}=this.parseArguments(func,funcData);return this.callFunction(func,args,optArgs,token2,breakOnTokenText)}callFunction(name,args,optArgs,token2,breakOnTokenText){var context={funcName:name,parser:this,token:token2,breakOnTokenText},func=functions[name];if(func&&func.handler)return func.handler(context,args,
+optArgs);throw new ParseError2("No function handler for "+name)}parseArguments(func,funcData){var totalArgs=funcData.numArgs+funcData.numOptionalArgs;if(totalArgs===0)return{args:[],optArgs:[]};for(var args=[],optArgs=[],i=0;i<totalArgs;i++){var argType=funcData.argTypes&&funcData.argTypes[i],isOptional=i<funcData.numOptionalArgs;(funcData.primitive&&argType==null||funcData.type==="sqrt"&&i===1&&optArgs[0]==null)&&(argType="primitive");var arg=this.parseGroupOfType("argument to '"+func+"'",argType,
+isOptional);if(isOptional)optArgs.push(arg);else if(arg!=null)args.push(arg);else throw new ParseError2("Null argument, please report this as a bug")}return{args,optArgs}}parseGroupOfType(name,type2,optional2){switch(type2){case"color":return this.parseColorGroup(optional2);case"size":return this.parseSizeGroup(optional2);case"url":return this.parseUrlGroup(optional2);case"math":case"text":return this.parseArgumentGroup(optional2,type2);case"hbox":{var group=this.parseArgumentGroup(optional2,"te\
+xt");return group!=null?{type:"styling",mode:group.mode,body:[group],style:"text"}:null}case"raw":{var token2=this.parseStringGroup("raw",optional2);return token2!=null?{type:"raw",mode:"text",string:token2.text}:null}case"primitive":{if(optional2)throw new ParseError2("A primitive argument cannot be optional");var _group2=this.parseGroup(name);if(_group2==null)throw new ParseError2("Expected group as "+name,this.fetch());return _group2}case"original":case null:case void 0:return this.parseArgumentGroup(
+optional2);default:throw new ParseError2("Unknown group type as "+name,this.fetch())}}consumeSpaces(){for(;this.fetch().text===" ";)this.consume()}parseStringGroup(modeName,optional2){var argToken=this.gullet.scanArgument(optional2);if(argToken==null)return null;for(var str="",nextToken;(nextToken=this.fetch()).text!=="EOF";)str+=nextToken.text,this.consume();return this.consume(),argToken.text=str,argToken}parseRegexGroup(regex,modeName){for(var firstToken=this.fetch(),lastToken=firstToken,str="",
+nextToken;(nextToken=this.fetch()).text!=="EOF"&&regex.test(str+nextToken.text);)lastToken=nextToken,str+=lastToken.text,this.consume();if(str==="")throw new ParseError2("Invalid "+modeName+": '"+firstToken.text+"'",firstToken);return firstToken.range(lastToken,str)}parseColorGroup(optional2){var res=this.parseStringGroup("color",optional2);if(res==null)return null;var match=/^(#[a-f0-9]{3}|#?[a-f0-9]{6}|[a-z]+)$/i.exec(res.text);if(!match)throw new ParseError2("Invalid color: '"+res.text+"'",res);
+var color=match[0];return/^[0-9a-f]{6}$/i.test(color)&&(color="#"+color),{type:"color-token",mode:this.mode,color}}parseSizeGroup(optional2){var res,isBlank=!1;if(this.gullet.consumeSpaces(),!optional2&&this.gullet.future().text!=="{"?res=this.parseRegexGroup(/^[-+]? *(?:$|\d+|\d+\.\d*|\.\d*) *[a-z]{0,2} *$/,"size"):res=this.parseStringGroup("size",optional2),!res)return null;!optional2&&res.text.length===0&&(res.text="0pt",isBlank=!0);var match=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(
+res.text);if(!match)throw new ParseError2("Invalid size: '"+res.text+"'",res);var data={number:+(match[1]+match[2]),unit:match[3]};if(!validUnit(data))throw new ParseError2("Invalid unit: '"+data.unit+"'",res);return{type:"size",mode:this.mode,value:data,isBlank}}parseUrlGroup(optional2){this.gullet.lexer.setCatcode("%",13),this.gullet.lexer.setCatcode("~",12);var res=this.parseStringGroup("url",optional2);if(this.gullet.lexer.setCatcode("%",14),this.gullet.lexer.setCatcode("~",13),res==null)return null;
+var url2=res.text.replace(/\\([#$%&~_^{}])/g,"$1");return{type:"url",mode:this.mode,url:url2}}parseArgumentGroup(optional2,mode){var argToken=this.gullet.scanArgument(optional2);if(argToken==null)return null;var outerMode=this.mode;mode&&this.switchMode(mode),this.gullet.beginGroup();var expression=this.parseExpression(!1,"EOF");this.expect("EOF"),this.gullet.endGroup();var result={type:"ordgroup",mode:this.mode,loc:argToken.loc,body:expression};return mode&&this.switchMode(outerMode),result}parseGroup(name,breakOnTokenText){
+var firstToken=this.fetch(),text2=firstToken.text,result;if(text2==="{"||text2==="\\begingroup"){this.consume();var groupEnd=text2==="{"?"}":"\\endgroup";this.gullet.beginGroup();var expression=this.parseExpression(!1,groupEnd),lastToken=this.fetch();this.expect(groupEnd),this.gullet.endGroup(),result={type:"ordgroup",mode:this.mode,loc:SourceLocation.range(firstToken,lastToken),body:expression,semisimple:text2==="\\begingroup"||void 0}}else if(result=this.parseFunction(breakOnTokenText,name)||this.
+parseSymbol(),result==null&&text2[0]==="\\"&&!implicitCommands.hasOwnProperty(text2)){if(this.settings.throwOnError)throw new ParseError2("Undefined control sequence: "+text2,firstToken);result=this.formatUnsupportedCmd(text2),this.consume()}return result}formLigatures(group){for(var n=group.length-1,i=0;i<n;++i){var a=group[i],v=a.text;v==="-"&&group[i+1].text==="-"&&(i+1<n&&group[i+2].text==="-"?(group.splice(i,3,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+2]),text:"---"}),n-=
+2):(group.splice(i,2,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+1]),text:"--"}),n-=1)),(v==="'"||v==="`")&&group[i+1].text===v&&(group.splice(i,2,{type:"textord",mode:"text",loc:SourceLocation.range(a,group[i+1]),text:v+v}),n-=1)}}parseSymbol(){var nucleus=this.fetch(),text2=nucleus.text;if(/^\\verb[^a-zA-Z]/.test(text2)){this.consume();var arg=text2.slice(5),star=arg.charAt(0)==="*";if(star&&(arg=arg.slice(1)),arg.length<2||arg.charAt(0)!==arg.slice(-1))throw new ParseError2(
+`\\verb assertion failed --
+                    please report what input caused this bug`);return arg=arg.slice(1,-1),{type:"verb",mode:"text",body:arg,star}}unicodeSymbols.hasOwnProperty(text2[0])&&!symbols[this.mode][text2[0]]&&(this.settings.strict&&this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Accented Unicode text character "'+text2[0]+'" used in math mode',nucleus),text2=unicodeSymbols[text2[0]]+text2.slice(1));var match=combiningDiacriticalMarksEndRegex.exec(text2);match&&(text2=text2.substring(
+0,match.index),text2==="i"?text2="ı":text2==="j"&&(text2="ȷ"));var symbol;if(symbols[this.mode][text2]){this.settings.strict&&this.mode==="math"&&extraLatin.indexOf(text2)>=0&&this.settings.reportNonstrict("unicodeTextInMathMode",'Latin-1/Unicode text character "'+text2[0]+'" used in math mode',nucleus);var group=symbols[this.mode][text2].group,loc=SourceLocation.range(nucleus),s2;if(ATOMS.hasOwnProperty(group)){var family=group;s2={type:"atom",mode:this.mode,family,loc,text:text2}}else s2={type:group,
+mode:this.mode,loc,text:text2};symbol=s2}else if(text2.charCodeAt(0)>=128)this.settings.strict&&(supportedCodepoint(text2.charCodeAt(0))?this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Unicode text character "'+text2[0]+'" used in math mode',nucleus):this.settings.reportNonstrict("unknownSymbol",'Unrecognized Unicode character "'+text2[0]+'"'+(" ("+text2.charCodeAt(0)+")"),nucleus)),symbol={type:"textord",mode:"text",loc:SourceLocation.range(nucleus),text:text2};else return null;
+if(this.consume(),match)for(var i=0;i<match[0].length;i++){var accent2=match[0][i];if(!unicodeAccents[accent2])throw new ParseError2("Unknown accent ' "+accent2+"'",nucleus);var command=unicodeAccents[accent2][this.mode]||unicodeAccents[accent2].text;if(!command)throw new ParseError2("Accent "+accent2+" unsupported in "+this.mode+" mode",nucleus);symbol={type:"accent",mode:this.mode,loc:SourceLocation.range(nucleus),label:command,isStretchy:!1,isShifty:!0,base:symbol}}return symbol}}Parser.endOfExpression=
+["}","\\endgroup","\\end","\\right","&"];var parseTree=function(toParse,settings){if(!(typeof toParse=="string"||toParse instanceof String))throw new TypeError("KaTeX can only parse string typed expression");var parser=new Parser(toParse,settings);delete parser.gullet.macros.current["\\df@tag"];var tree=parser.parse();if(delete parser.gullet.macros.current["\\current@color"],delete parser.gullet.macros.current["\\color"],parser.gullet.macros.get("\\df@tag")){if(!settings.displayMode)throw new ParseError2(
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+return castFactory(tagName);function tagName(element2){return element2.tagName===check}}function castFactory(testFunction){return check;function check(value,index2,parent){return!!(looksLikeAnElement(value)&&testFunction.call(this,value,typeof index2=="number"?index2:void 0,parent||void 0))}}function element$2(element2){return!!(element2&&typeof element2=="object"&&"type"in element2&&element2.type==="element"&&"tagName"in element2&&typeof element2.tagName=="string")}function looksLikeAnElement(value){
+return value!==null&&typeof value=="object"&&"type"in value&&"tagName"in value}const searchLineFeeds=/\n/g,searchTabOrSpaces=/[\t ]+/g,br=convertElement("br"),cell=convertElement(isCell),p$1=convertElement("p"),row=convertElement("tr"),notRendered=convertElement(["datalist","head","noembed","noframes","noscript","rp","script","style","template","title",hidden,closedDialog]),blockOrCaption=convertElement(["address","article","aside","blockquote","body","caption","center","dd","dialog","dir","dl",
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+row(node2)&&findAfter(parent,node2,row)?suffix=`
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+exec(value);end=match?match.index:value.length,!start2&&!end&&match&&!breakBefore&&result.push(""),start2!==end&&result.push(value.slice(start2,end)),start2=match?end+match[0].length:end}return start2!==end&&!breakAfter&&result.push(""),result.join(" ")}function inferWhitespace(node2,info2){if(node2.type==="element"){const properties2=node2.properties||{};switch(node2.tagName){case"listing":case"plaintext":case"xmp":return"pre";case"nobr":return"nowrap";case"pre":return properties2.wrap?"pre-wra\
+p":"pre";case"td":case"th":return properties2.noWrap?"nowrap":info2.whitespace;case"textarea":return"pre-wrap"}}return info2.whitespace}function hidden(node2){return!!(node2.properties||{}).hidden}function isCell(node2){return node2.tagName==="td"||node2.tagName==="th"}function closedDialog(node2){return node2.tagName==="dialog"&&!(node2.properties||{}).open}function _1c(hljs){const UNDERSCORE_IDENT_RE="[A-Za-zА-Яа-яёЁ_][A-Za-zА-Яа-яёЁ_0-9]+",KEYWORD="далее "+"возврат вызватьиск\
+лючение выполнить для если и из или иначе иначеесли исключение каждого конецесли конецпопытки конеццикла не новый перейти перем по пока попытка прервать продолжить тогда цикл экспорт ",METAKEYWORD="загрузитьизфайла "+"вебклиент вместо внешнеесоединение клиент конецобласти мобильноеприложениеклиент мобильноеприложениесервер на\
+клиенте наклиентенасервере наклиентенасерверебезконтекста насервере насерверебезконтекста область перед после сервер толстыйклиентобычноеприложение толстыйклиентуправляемоеприложение тонкийклиент ",BUILTIN="разделительстраниц разделительстрок символтабуляции "+"ansit\
+ooem oemtoansi ввестивидсубконто ввестиперечисление ввестипериод ввестиплансчетов выбранныйплансчетов датагод датамесяц датачисло заголовоксистемы значениевстроку значениеизстроки каталогиб каталогпользователя кодсимв конгода конецпериодаби конецрассчитанногопериодаби конецстандартногоинтервала конквартала конмесяца коннедели лог лог10 максимальноеколичествосубконто названиеинтерфейса названиенабораправ назначитьвид назначитьсчет найтиссылки началопериодаби началостандартногоинтервала начгода на\
+чквартала начмесяца начнедели номерднягода номерднянедели номернеделигода обработкаожидания основнойжурналрасчетов основнойплансчетов основнойязык очиститьокносообщений периодстр получитьвремята получитьдатута получитьдокументта получитьзначенияотбора получитьпозициюта получитьпустоезначение получитьта префиксавтонумерации пропись пустоезначение разм разобратьпозициюдокумента рассчитатьрегистрына рассчитатьрегистрыпо симв создатьобъект статусвозврата стрколичествострок сформироватьпозициюдокумен\
+та счетпокоду текущеевремя типзначения типзначениястр установитьтана установитьтапо фиксшаблон шаблон "+"acos asin atan base64значение base64строка cos exp log log10 pow sin sqrt tan xmlзначение xmlстрока xmlтип xmlтипзнч активноеокно безопасныйрежим безопасныйрежимразделенияданных булево ввестидату ввестизначение ввестистроку ввестичисло возможностьчтенияxml вопрос восстановитьзначение врег выгрузитьжур\
+налрегистрации выполнитьобработкуоповещения выполнитьпроверкуправдоступа вычислить год данныеформывзначение дата день деньгода деньнедели добавитьмесяц заблокироватьданныедляредактирования заблокироватьработупользователя завершитьработусистемы загрузитьвнешнююкомпоненту закрытьсправку записатьjson записатьxml записатьдатуjson записьжурналарегистрации заполнитьзначениясвойств запроситьразрешениепользователя запуститьприложение запуститьсистему зафиксироватьтранзакцию значениевданныеформы значение\
+встрокувнутр значениевфайл значениезаполнено значениеизстрокивнутр значениеизфайла изxmlтипа импортмоделиxdto имякомпьютера имяпользователя инициализироватьпредопределенныеданные информацияобошибке каталогбиблиотекимобильногоустройства каталогвременныхфайлов каталогдокументов каталогпрограммы кодироватьстроку кодлокализацииинформационнойбазы кодсимвола командасистемы конецгода конецдня конецквартала конецмесяца конецминуты конецнедели конецчаса конфигурациябазыданныхизмененадинамически конфигура\
+цияизменена копироватьданныеформы копироватьфайл краткоепредставлениеошибки лев макс местноевремя месяц мин минута монопольныйрежим найти найтинедопустимыесимволыxml найтиокнопонавигационнойссылке найтипомеченныенаудаление найтипоссылкам найтифайлы началогода началодня началоквартала началомесяца началоминуты началонедели началочаса начатьзапросразрешенияпользователя начатьзапускприложения начатькопированиефайла начатьперемещениефайла начатьподключениевнешнейкомпоненты начатьподключениерасширени\
+яработыскриптографией начатьподключениерасширенияработысфайлами начатьпоискфайлов начатьполучениекаталогавременныхфайлов начатьполучениекаталогадокументов начатьполучениерабочегокаталогаданныхпользователя начатьполучениефайлов начатьпомещениефайла начатьпомещениефайлов начатьсозданиедвоичныхданныхизфайла начатьсозданиекаталога начатьтранзакцию начатьудалениефайлов начатьустановкувнешнейкомпоненты начатьустановкурасширенияработыскриптографией начатьустановкурасширенияработысфайлами неделягода нео\
+бходимостьзавершениясоединения номерсеансаинформационнойбазы номерсоединенияинформационнойбазы нрег нстр обновитьинтерфейс обновитьнумерациюобъектов обновитьповторноиспользуемыезначения обработкапрерыванияпользователя объединитьфайлы окр описаниеошибки оповестить оповеститьобизменении отключитьобработчикзапросанастроекклиенталицензирования отключитьобработчикожидания отключитьобработчикоповещения открытьзначение открытьиндекссправки открытьсодержаниесправки открытьсправку открытьформу открытьфор\
+мумодально отменитьтранзакцию очиститьжурналрегистрации очиститьнастройкипользователя очиститьсообщения параметрыдоступа перейтипонавигационнойссылке переместитьфайл подключитьвнешнююкомпоненту подключитьобработчикзапросанастроекклиенталицензирования подключитьобработчикожидания подключитьобработчикоповещения подключитьрасширениеработыскриптографией подключитьрасширениеработысфайлами подробноепредставлениеошибки показатьвводдаты показатьвводзначения показатьвводстроки показатьвводчисла показатьв\
+опрос показатьзначение показатьинформациюобошибке показатьнакарте показатьоповещениепользователя показатьпредупреждение полноеимяпользователя получитьcomобъект получитьxmlтип получитьадреспоместоположению получитьблокировкусеансов получитьвремязавершенияспящегосеанса получитьвремязасыпанияпассивногосеанса получитьвремяожиданияблокировкиданных получитьданныевыбора получитьдополнительныйпараметрклиенталицензирования получитьдопустимыекодылокализации получитьдопустимыечасовыепояса получитьзаголовок\
+клиентскогоприложения получитьзаголовоксистемы получитьзначенияотборажурналарегистрации получитьидентификаторконфигурации получитьизвременногохранилища получитьимявременногофайла получитьимяклиенталицензирования получитьинформациюэкрановклиента получитьиспользованиежурналарегистрации получитьиспользованиесобытияжурналарегистрации получитькраткийзаголовокприложения получитьмакетоформления получитьмаскувсефайлы получитьмаскувсефайлыклиента получитьмаскувсефайлысервера получитьместоположениепоадрес\
+у получитьминимальнуюдлинупаролейпользователей получитьнавигационнуюссылку получитьнавигационнуюссылкуинформационнойбазы получитьобновлениеконфигурациибазыданных получитьобновлениепредопределенныхданныхинформационнойбазы получитьобщиймакет получитьобщуюформу получитьокна получитьоперативнуюотметкувремени получитьотключениебезопасногорежима получитьпараметрыфункциональныхопцийинтерфейса получитьполноеимяпредопределенногозначения получитьпредставлениянавигационныхссылок получитьпроверкусложностипа\
+ролейпользователей получитьразделительпути получитьразделительпутиклиента получитьразделительпутисервера получитьсеансыинформационнойбазы получитьскоростьклиентскогосоединения получитьсоединенияинформационнойбазы получитьсообщенияпользователю получитьсоответствиеобъектаиформы получитьсоставстандартногоинтерфейсаodata получитьструктурухранениябазыданных получитьтекущийсеансинформационнойбазы получитьфайл получитьфайлы получитьформу получитьфункциональнуюопцию получитьфункциональнуюопциюинтерфейса\
+ получитьчасовойпоясинформационнойбазы пользователиос поместитьвовременноехранилище поместитьфайл поместитьфайлы прав праводоступа предопределенноезначение представлениекодалокализации представлениепериода представлениеправа представлениеприложения представлениесобытияжурналарегистрации представлениечасовогопояса предупреждение прекратитьработусистемы привилегированныйрежим продолжитьвызов прочитатьjson прочитатьxml прочитатьдатуjson пустаястрока рабочийкаталогданныхпользователя разблокироватьда\
+нныедляредактирования разделитьфайл разорватьсоединениесвнешнимисточникомданных раскодироватьстроку рольдоступна секунда сигнал символ скопироватьжурналрегистрации смещениелетнеговремени смещениестандартноговремени соединитьбуферыдвоичныхданных создатькаталог создатьфабрикуxdto сокрл сокрлп сокрп сообщить состояние сохранитьзначение сохранитьнастройкипользователя сред стрдлина стрзаканчиваетсяна стрзаменить стрнайти стрначинаетсяс строка строкасоединенияинформационнойбазы стрполучитьстроку стрра\
+зделить стрсоединить стрсравнить стрчисловхождений стрчислострок стршаблон текущаядата текущаядатасеанса текущаяуниверсальнаядата текущаяуниверсальнаядатавмиллисекундах текущийвариантинтерфейсаклиентскогоприложения текущийвариантосновногошрифтаклиентскогоприложения текущийкодлокализации текущийрежимзапуска текущийязык текущийязыксистемы тип типзнч транзакцияактивна трег удалитьданныеинформационнойбазы удалитьизвременногохранилища удалитьобъекты удалитьфайлы универсальноевремя установитьбезопасны\
+йрежим установитьбезопасныйрежимразделенияданных установитьблокировкусеансов установитьвнешнююкомпоненту установитьвремязавершенияспящегосеанса установитьвремязасыпанияпассивногосеанса установитьвремяожиданияблокировкиданных установитьзаголовокклиентскогоприложения установитьзаголовоксистемы установитьиспользованиежурналарегистрации установитьиспользованиесобытияжурналарегистрации установитькраткийзаголовокприложения установитьминимальнуюдлинупаролейпользователей установитьмонопольныйрежим устан\
+овитьнастройкиклиенталицензирования установитьобновлениепредопределенныхданныхинформационнойбазы установитьотключениебезопасногорежима установитьпараметрыфункциональныхопцийинтерфейса установитьпривилегированныйрежим установитьпроверкусложностипаролейпользователей установитьрасширениеработыскриптографией установитьрасширениеработысфайлами установитьсоединениесвнешнимисточникомданных установитьсоответствиеобъектаиформы установитьсоставстандартногоинтерфейсаodata установитьчасовойпоясинформационно\
+йбазы установитьчасовойпояссеанса формат цел час часовойпояс часовойпояссеанса число числопрописью этоадресвременногохранилища "+"wsссылки библиотекакартинок библиотекамакетовоформлениякомпоновкиданных библиотекастилей бизнеспроцессы внешниеисточникиданных внешниеобработки внешниеотчеты встроенныепокупки главныйинтерфейс главныйстиль документы доставляемыеуведомления журналыдокуме\
+нтов задачи информацияобинтернетсоединении использованиерабочейдаты историяработыпользователя константы критерииотбора метаданные обработки отображениерекламы отправкадоставляемыхуведомлений отчеты панельзадачос параметрзапуска параметрысеанса перечисления планывидоврасчета планывидовхарактеристик планыобмена планысчетов полнотекстовыйпоиск пользователиинформационнойбазы последовательности проверкавстроенныхпокупок рабочаядата расширенияконфигурации регистрыбухгалтерии регистрынакопления регистр\
+ырасчета регистрысведений регламентныезадания сериализаторxdto справочники средствагеопозиционирования средствакриптографии средствамультимедиа средстваотображениярекламы средствапочты средствателефонии фабрикаxdto файловыепотоки фоновыезадания хранилищанастроек хранилищевариантовотчетов хранилищенастроекданныхформ хранилищеобщихнастроек хранилищепользовательскихнастроекдинамическихсписков хранилищепользовательскихнастроекотчетов хранилищесистемныхнастроек ",
+CLASS2="webцвета windowsцвета windowsшрифты библиотекакартинок рамкистиля символы цветастиля шрифтыстиля "+"автоматическоесохранениеданныхформывнастройках автонумерациявформе автораздвижениесерий анимациядиаграммы вариантвыравниванияэлементовизаголовков вариантуправлениявысотойтаблицы вертикальнаяпрокруткаформы вертикальноеположение вертикальноеположениеэлемента видгруппыформы виддекорацииформы виддополненияэлементаформы вид\
+измененияданных видкнопкиформы видпереключателя видподписейкдиаграмме видполяформы видфлажка влияниеразмеранапузырекдиаграммы горизонтальноеположение горизонтальноеположениеэлемента группировкаколонок группировкаподчиненныхэлементовформы группыиэлементы действиеперетаскивания дополнительныйрежимотображения допустимыедействияперетаскивания интервалмеждуэлементамиформы использованиевывода использованиеполосыпрокрутки используемоезначениеточкибиржевойдиаграммы историявыборапривводе источникзначений\
+оситочекдиаграммы источникзначенияразмерапузырькадиаграммы категориягруппыкоманд максимумсерий начальноеотображениедерева начальноеотображениесписка обновлениетекстаредактирования ориентациядендрограммы ориентациядиаграммы ориентацияметокдиаграммы ориентацияметоксводнойдиаграммы ориентацияэлементаформы отображениевдиаграмме отображениевлегендедиаграммы отображениегруппыкнопок отображениезаголовкашкалыдиаграммы отображениезначенийсводнойдиаграммы отображениезначенияизмерительнойдиаграммы отображе\
+ниеинтерваладиаграммыганта отображениекнопки отображениекнопкивыбора отображениеобсужденийформы отображениеобычнойгруппы отображениеотрицательныхзначенийпузырьковойдиаграммы отображениепанелипоиска отображениеподсказки отображениепредупрежденияприредактировании отображениеразметкиполосырегулирования отображениестраницформы отображениетаблицы отображениетекстазначениядиаграммыганта отображениеуправленияобычнойгруппы отображениефигурыкнопки палитрацветовдиаграммы поведениеобычнойгруппы поддержкама\
+сштабадендрограммы поддержкамасштабадиаграммыганта поддержкамасштабасводнойдиаграммы поисквтаблицепривводе положениезаголовкаэлементаформы положениекартинкикнопкиформы положениекартинкиэлементаграфическойсхемы положениекоманднойпанелиформы положениекоманднойпанелиэлементаформы положениеопорнойточкиотрисовки положениеподписейкдиаграмме положениеподписейшкалызначенийизмерительнойдиаграммы положениесостоянияпросмотра положениестрокипоиска положениетекстасоединительнойлинии положениеуправленияпоиско\
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+овногоокнаклиентскогоприложения режимоткрытияокнаформы режимотображениявыделения режимотображениягеографическойсхемы режимотображениязначенийсерии режимотрисовкисеткиграфическойсхемы режимполупрозрачностидиаграммы режимпробеловдиаграммы режимразмещениянастранице режимредактированияколонки режимсглаживаниядиаграммы режимсглаживанияиндикатора режимсписказадач сквозноевыравнивание сохранениеданныхформывнастройках способзаполнениятекстазаголовкашкалыдиаграммы способопределенияограничивающегозначения\
+диаграммы стандартнаягруппакоманд стандартноеоформление статусоповещенияпользователя стильстрелки типаппроксимациилиниитрендадиаграммы типдиаграммы типединицышкалывремени типимпортасерийслоягеографическойсхемы типлиниигеографическойсхемы типлиниидиаграммы типмаркерагеографическойсхемы типмаркерадиаграммы типобластиоформления типорганизацииисточникаданныхгеографическойсхемы типотображениясериислоягеографическойсхемы типотображенияточечногообъектагеографическойсхемы типотображенияшкалыэлементалеге\
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+"авторегистрацияизменений допустимыйномерсообщения отправкаэлементаданных получениеэлементаданных "+"использованиерасшифровкитабличногодокумента ориентациястраницы положениеитоговколоноксводнойтаблицы положениеитоговстроксводнойтаблицы положениетекстаотносительнокартинки расположениезаголовкагруппировкитабличногодокумента способчтениязначенийтабличногодокумента типдвустороннейпечати типзаполненияобластит\
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+vList pvPack pvPacki pvPackm pvPackmi pvPacks pvPacksi pvPacksm pvPacksmi pvPutParVector pvTest pvUnpack QNewton QNewtonmt QNewtonmtControlCreate QNewtonmtOutCreate QNewtonSet QProg QProgmt QProgmtInCreate qqr qqre qqrep qr qre qrep qrsol qrtsol qtyr qtyre qtyrep quantile quantiled qyr qyre qyrep qz rank rankindx readr real reclassify reclassifyCuts recode recserar recsercp recserrc rerun rescale reshape rets rev rfft rffti rfftip rfftn rfftnp rfftp rndBernoulli rndBeta rndBinomial rndCauchy rnd\
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+{scope:"params",variants:[{match:regex.concat(LETTER_BOUNDARY_RE,PARAMETERS_RE,NUMBER_RE)},{begin:regex.concat(PARAMETERS_RE,NUMBER_RE),"on:begin":LETTER_BOUNDARY_CALLBACK}]}];return{name:"G-code (ISO 6983)",aliases:["nc"],case_insensitive:!0,disableAutodetect:!0,keywords:GCODE_KEYWORDS,contains:GCODE_CODE}}function gherkin(hljs){return{name:"Gherkin",aliases:["feature"],keywords:"Feature Background Ability Business Need Scenario Scenarios Scenario Outline Scenario Template Examples Given And Th\
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+rent column_major const cw depth_any depth_greater depth_less depth_unchanged early_fragment_tests equal_spacing flat fractional_even_spacing fractional_odd_spacing highp in index inout invariant invocations isolines layout line_strip lines lines_adjacency local_size_x local_size_y local_size_z location lowp max_vertices mediump noperspective offset origin_upper_left out packed patch pixel_center_integer point_mode points precise precision quads r11f_g11f_b10f r16 r16_snorm r16f r16i r16ui r32f \
+r32i r32ui r8 r8_snorm r8i r8ui readonly restrict rg16 rg16_snorm rg16f rg16i rg16ui rg32f rg32i rg32ui rg8 rg8_snorm rg8i rg8ui rgb10_a2 rgb10_a2ui rgba16 rgba16_snorm rgba16f rgba16i rgba16ui rgba32f rgba32i rgba32ui rgba8 rgba8_snorm rgba8i rgba8ui row_major sample shared smooth std140 std430 stream triangle_strip triangles triangles_adjacency uniform varying vertices volatile writeonly",type:"atomic_uint bool bvec2 bvec3 bvec4 dmat2 dmat2x2 dmat2x3 dmat2x4 dmat3 dmat3x2 dmat3x3 dmat3x4 dmat4\
+ dmat4x2 dmat4x3 dmat4x4 double dvec2 dvec3 dvec4 float iimage1D iimage1DArray iimage2D iimage2DArray iimage2DMS iimage2DMSArray iimage2DRect iimage3D iimageBuffer iimageCube iimageCubeArray image1D image1DArray image2D image2DArray image2DMS image2DMSArray image2DRect image3D imageBuffer imageCube imageCubeArray int isampler1D isampler1DArray isampler2D isampler2DArray isampler2DMS isampler2DMSArray isampler2DRect isampler3D isamplerBuffer isamplerCube isamplerCubeArray ivec2 ivec3 ivec4 mat2 m\
+at2x2 mat2x3 mat2x4 mat3 mat3x2 mat3x3 mat3x4 mat4 mat4x2 mat4x3 mat4x4 sampler1D sampler1DArray sampler1DArrayShadow sampler1DShadow sampler2D sampler2DArray sampler2DArrayShadow sampler2DMS sampler2DMSArray sampler2DRect sampler2DRectShadow sampler2DShadow sampler3D samplerBuffer samplerCube samplerCubeArray samplerCubeArrayShadow samplerCubeShadow image1D uimage1DArray uimage2D uimage2DArray uimage2DMS uimage2DMSArray uimage2DRect uimage3D uimageBuffer uimageCube uimageCubeArray uint usampler\
+1D usampler1DArray usampler2D usampler2DArray usampler2DMS usampler2DMSArray usampler2DRect usampler3D samplerBuffer usamplerCube usamplerCubeArray uvec2 uvec3 uvec4 vec2 vec3 vec4 void",built_in:"gl_MaxAtomicCounterBindings gl_MaxAtomicCounterBufferSize gl_MaxClipDistances gl_MaxClipPlanes gl_MaxCombinedAtomicCounterBuffers gl_MaxCombinedAtomicCounters gl_MaxCombinedImageUniforms gl_MaxCombinedImageUnitsAndFragmentOutputs gl_MaxCombinedTextureImageUnits gl_MaxComputeAtomicCounterBuffers gl_MaxC\
+omputeAtomicCounters gl_MaxComputeImageUniforms gl_MaxComputeTextureImageUnits gl_MaxComputeUniformComponents gl_MaxComputeWorkGroupCount gl_MaxComputeWorkGroupSize gl_MaxDrawBuffers gl_MaxFragmentAtomicCounterBuffers gl_MaxFragmentAtomicCounters gl_MaxFragmentImageUniforms gl_MaxFragmentInputComponents gl_MaxFragmentInputVectors gl_MaxFragmentUniformComponents gl_MaxFragmentUniformVectors gl_MaxGeometryAtomicCounterBuffers gl_MaxGeometryAtomicCounters gl_MaxGeometryImageUniforms gl_MaxGeometryI\
+nputComponents gl_MaxGeometryOutputComponents gl_MaxGeometryOutputVertices gl_MaxGeometryTextureImageUnits gl_MaxGeometryTotalOutputComponents gl_MaxGeometryUniformComponents gl_MaxGeometryVaryingComponents gl_MaxImageSamples gl_MaxImageUnits gl_MaxLights gl_MaxPatchVertices gl_MaxProgramTexelOffset gl_MaxTessControlAtomicCounterBuffers gl_MaxTessControlAtomicCounters gl_MaxTessControlImageUniforms gl_MaxTessControlInputComponents gl_MaxTessControlOutputComponents gl_MaxTessControlTextureImageUn\
+its gl_MaxTessControlTotalOutputComponents gl_MaxTessControlUniformComponents gl_MaxTessEvaluationAtomicCounterBuffers gl_MaxTessEvaluationAtomicCounters gl_MaxTessEvaluationImageUniforms gl_MaxTessEvaluationInputComponents gl_MaxTessEvaluationOutputComponents gl_MaxTessEvaluationTextureImageUnits gl_MaxTessEvaluationUniformComponents gl_MaxTessGenLevel gl_MaxTessPatchComponents gl_MaxTextureCoords gl_MaxTextureImageUnits gl_MaxTextureUnits gl_MaxVaryingComponents gl_MaxVaryingFloats gl_MaxVaryi\
+ngVectors gl_MaxVertexAtomicCounterBuffers gl_MaxVertexAtomicCounters gl_MaxVertexAttribs gl_MaxVertexImageUniforms gl_MaxVertexOutputComponents gl_MaxVertexOutputVectors gl_MaxVertexTextureImageUnits gl_MaxVertexUniformComponents gl_MaxVertexUniformVectors gl_MaxViewports gl_MinProgramTexelOffset gl_BackColor gl_BackLightModelProduct gl_BackLightProduct gl_BackMaterial gl_BackSecondaryColor gl_ClipDistance gl_ClipPlane gl_ClipVertex gl_Color gl_DepthRange gl_EyePlaneQ gl_EyePlaneR gl_EyePlaneS \
+gl_EyePlaneT gl_Fog gl_FogCoord gl_FogFragCoord gl_FragColor gl_FragCoord gl_FragData gl_FragDepth gl_FrontColor gl_FrontFacing gl_FrontLightModelProduct gl_FrontLightProduct gl_FrontMaterial gl_FrontSecondaryColor gl_GlobalInvocationID gl_InstanceID gl_InvocationID gl_Layer gl_LightModel gl_LightSource gl_LocalInvocationID gl_LocalInvocationIndex gl_ModelViewMatrix gl_ModelViewMatrixInverse gl_ModelViewMatrixInverseTranspose gl_ModelViewMatrixTranspose gl_ModelViewProjectionMatrix gl_ModelViewP\
+rojectionMatrixInverse gl_ModelViewProjectionMatrixInverseTranspose gl_ModelViewProjectionMatrixTranspose gl_MultiTexCoord0 gl_MultiTexCoord1 gl_MultiTexCoord2 gl_MultiTexCoord3 gl_MultiTexCoord4 gl_MultiTexCoord5 gl_MultiTexCoord6 gl_MultiTexCoord7 gl_Normal gl_NormalMatrix gl_NormalScale gl_NumSamples gl_NumWorkGroups gl_ObjectPlaneQ gl_ObjectPlaneR gl_ObjectPlaneS gl_ObjectPlaneT gl_PatchVerticesIn gl_Point gl_PointCoord gl_PointSize gl_Position gl_PrimitiveID gl_PrimitiveIDIn gl_ProjectionMa\
+trix gl_ProjectionMatrixInverse gl_ProjectionMatrixInverseTranspose gl_ProjectionMatrixTranspose gl_SampleID gl_SampleMask gl_SampleMaskIn gl_SamplePosition gl_SecondaryColor gl_TessCoord gl_TessLevelInner gl_TessLevelOuter gl_TexCoord gl_TextureEnvColor gl_TextureMatrix gl_TextureMatrixInverse gl_TextureMatrixInverseTranspose gl_TextureMatrixTranspose gl_Vertex gl_VertexID gl_ViewportIndex gl_WorkGroupID gl_WorkGroupSize gl_in gl_out EmitStreamVertex EmitVertex EndPrimitive EndStreamPrimitive a\
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+dd imageAtomicAnd imageAtomicCompSwap imageAtomicExchange imageAtomicMax imageAtomicMin imageAtomicOr imageAtomicXor imageLoad imageSize imageStore imulExtended intBitsToFloat interpolateAtCentroid interpolateAtOffset interpolateAtSample inverse inversesqrt isinf isnan ldexp length lessThan lessThanEqual log log2 matrixCompMult max memoryBarrier memoryBarrierAtomicCounter memoryBarrierBuffer memoryBarrierImage memoryBarrierShared min mix mod modf noise1 noise2 noise3 noise4 normalize not notEqua\
+l outerProduct packDouble2x32 packHalf2x16 packSnorm2x16 packSnorm4x8 packUnorm2x16 packUnorm4x8 pow radians reflect refract round roundEven shadow1D shadow1DLod shadow1DProj shadow1DProjLod shadow2D shadow2DLod shadow2DProj shadow2DProjLod sign sin sinh smoothstep sqrt step tan tanh texelFetch texelFetchOffset texture texture1D texture1DLod texture1DProj texture1DProjLod texture2D texture2DLod texture2DProj texture2DProjLod texture3D texture3DLod texture3DProj texture3DProjLod textureCube textu\
+reCubeLod textureGather textureGatherOffset textureGatherOffsets textureGrad textureGradOffset textureLod textureLodOffset textureOffset textureProj textureProjGrad textureProjGradOffset textureProjLod textureProjLodOffset textureProjOffset textureQueryLevels textureQueryLod textureSize transpose trunc uaddCarry uintBitsToFloat umulExtended unpackDouble2x32 unpackHalf2x16 unpackSnorm2x16 unpackSnorm4x8 unpackUnorm2x16 unpackUnorm4x8 usubBorrow",literal:"true false"},illegal:'"',contains:[hljs.C_LINE_COMMENT_MODE,
+hljs.C_BLOCK_COMMENT_MODE,hljs.C_NUMBER_MODE,{className:"meta",begin:"#",end:"$"}]}}function gml(hljs){return{name:"GML",case_insensitive:!1,keywords:{keyword:["#endregion","#macro","#region","and","begin","break","case","constructor","continue","default","delete","div","do","else","end","enum","exit","for","function","globalvar","if","mod","new","not","or","repeat","return","static","switch","then","until","var","while","with","xor"],built_in:["abs","alarm_get","alarm_set","angle_difference","a\
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+y image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image IRP_ALIGN irp_here"},illegal:/\/\*/,contains:[hljs.inherit(hljs.APOS_STRING_MODE,{className:"string",relevance:0}),hljs.inherit(hljs.QUOTE_STRING_MODE,{className:"string",relevance:0}),{className:"function",beginKeywords:"subroutine function program",illegal:"[${=\\n]",contains:[hljs.UNDERSCORE_TITLE_MODE,PARAMS]},hljs.COMMENT("!","$",{relevance:0}),hljs.COMMENT("begin_doc","end_doc",{relevance:10}),
+NUMBER]}}function isbl(hljs){const UNDERSCORE_IDENT_RE="[A-Za-zА-Яа-яёЁ_!][A-Za-zА-Яа-яёЁ_0-9]*",FUNCTION_NAME_IDENT_RE="[A-Za-zА-Яа-яёЁ_][A-Za-zА-Яа-яёЁ_0-9]*",KEYWORD="and и else иначе endexcept endfinally endforeach конецвсе endif конецесли endwhile конецпока except exitfor finally foreach все if если in в not не or или try while пока ",CONSTANTS="SYSRES_CONST_ACCES_RIGHT_TYPE_EDIT SYSRES_CONST_ACCES_RIGHT_TYPE_FULL SYSR\
+ES_CONST_ACCES_RIGHT_TYPE_VIEW SYSRES_CONST_ACCESS_MODE_REQUISITE_CODE SYSRES_CONST_ACCESS_NO_ACCESS_VIEW SYSRES_CONST_ACCESS_NO_ACCESS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_ADD_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_CHANGE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_DELETE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_CODE SYSR\
+ES_CONST_ACCESS_RIGHTS_EXECUTE_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_NO_ACCESS_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_RATIFY_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW SYSRES_CONST_ACCESS_RIGHTS_VIEW_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_CODE SYSRES_CONST_ACCESS_RIGHTS_VIEW_REQUISITE_YES_CODE SYSRES_CONST_ACCESS_TYPE_CHANGE\
+ SYSRES_CONST_ACCESS_TYPE_CHANGE_CODE SYSRES_CONST_ACCESS_TYPE_EXISTS SYSRES_CONST_ACCESS_TYPE_EXISTS_CODE SYSRES_CONST_ACCESS_TYPE_FULL SYSRES_CONST_ACCESS_TYPE_FULL_CODE SYSRES_CONST_ACCESS_TYPE_VIEW SYSRES_CONST_ACCESS_TYPE_VIEW_CODE SYSRES_CONST_ACTION_TYPE_ABORT SYSRES_CONST_ACTION_TYPE_ACCEPT SYSRES_CONST_ACTION_TYPE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ADD_ATTACHMENT SYSRES_CONST_ACTION_TYPE_CHANGE_CARD SYSRES_CONST_ACTION_TYPE_CHANGE_KIND SYSRES_CONST_ACTION_TYPE_CHANGE_STORAGE SYSRES_\
+CONST_ACTION_TYPE_CONTINUE SYSRES_CONST_ACTION_TYPE_COPY SYSRES_CONST_ACTION_TYPE_CREATE SYSRES_CONST_ACTION_TYPE_CREATE_VERSION SYSRES_CONST_ACTION_TYPE_DELETE SYSRES_CONST_ACTION_TYPE_DELETE_ATTACHMENT SYSRES_CONST_ACTION_TYPE_DELETE_VERSION SYSRES_CONST_ACTION_TYPE_DISABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENABLE_DELEGATE_ACCESS_RIGHTS SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE SYSRES_CONST_ACTION_TYPE_ENCRYPTION_BY_CERTIFICATE_AND_PASSWORD SYSRES_CONST_ACTION_TYPE_ENCRY\
+PTION_BY_PASSWORD SYSRES_CONST_ACTION_TYPE_EXPORT_WITH_LOCK SYSRES_CONST_ACTION_TYPE_EXPORT_WITHOUT_LOCK SYSRES_CONST_ACTION_TYPE_IMPORT_WITH_UNLOCK SYSRES_CONST_ACTION_TYPE_IMPORT_WITHOUT_UNLOCK SYSRES_CONST_ACTION_TYPE_LIFE_CYCLE_STAGE SYSRES_CONST_ACTION_TYPE_LOCK SYSRES_CONST_ACTION_TYPE_LOCK_FOR_SERVER SYSRES_CONST_ACTION_TYPE_LOCK_MODIFY SYSRES_CONST_ACTION_TYPE_MARK_AS_READED SYSRES_CONST_ACTION_TYPE_MARK_AS_UNREADED SYSRES_CONST_ACTION_TYPE_MODIFY SYSRES_CONST_ACTION_TYPE_MODIFY_CARD SYS\
+RES_CONST_ACTION_TYPE_MOVE_TO_ARCHIVE SYSRES_CONST_ACTION_TYPE_OFF_ENCRYPTION SYSRES_CONST_ACTION_TYPE_PASSWORD_CHANGE SYSRES_CONST_ACTION_TYPE_PERFORM SYSRES_CONST_ACTION_TYPE_RECOVER_FROM_LOCAL_COPY SYSRES_CONST_ACTION_TYPE_RESTART SYSRES_CONST_ACTION_TYPE_RESTORE_FROM_ARCHIVE SYSRES_CONST_ACTION_TYPE_REVISION SYSRES_CONST_ACTION_TYPE_SEND_BY_MAIL SYSRES_CONST_ACTION_TYPE_SIGN SYSRES_CONST_ACTION_TYPE_START SYSRES_CONST_ACTION_TYPE_UNLOCK SYSRES_CONST_ACTION_TYPE_UNLOCK_FROM_SERVER SYSRES_CONS\
+T_ACTION_TYPE_VERSION_STATE SYSRES_CONST_ACTION_TYPE_VERSION_VISIBILITY SYSRES_CONST_ACTION_TYPE_VIEW SYSRES_CONST_ACTION_TYPE_VIEW_SHADOW_COPY SYSRES_CONST_ACTION_TYPE_WORKFLOW_DESCRIPTION_MODIFY SYSRES_CONST_ACTION_TYPE_WRITE_HISTORY SYSRES_CONST_ACTIVE_VERSION_STATE_PICK_VALUE SYSRES_CONST_ADD_REFERENCE_MODE_NAME SYSRES_CONST_ADDITION_REQUISITE_CODE SYSRES_CONST_ADDITIONAL_PARAMS_REQUISITE_CODE SYSRES_CONST_ADITIONAL_JOB_END_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_READ_REQUISITE_NAME S\
+YSRES_CONST_ADITIONAL_JOB_START_DATE_REQUISITE_NAME SYSRES_CONST_ADITIONAL_JOB_STATE_REQUISITE_NAME SYSRES_CONST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_ADDING_USER_TO_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION\
+_HISTORY_CREATION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_CREATION_USER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_DATABASE_USER_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_COMP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DEL\
+ETION_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_DELETION_USER_FROM_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HIS\
+TORY_GRANTING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_FILTERER_RESTRICTION_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_GRANTING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_MAIN_SERVER_CHANGED_ACT\
+ION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_IS_PUBLIC_CHANGED_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_IS_PUBLIC_CHANGED_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_FILTERER_RESTRICTION_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_PRIVILEGE_ACTION SYSRES_CONST_ADMINISTRAT\
+ION_HISTORY_REMOVING_PRIVILEGE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_REMOVING_RIGHTS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_CREATION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION SYSRES_CONST_ADMINISTRATION_HISTORY_SERVER_LOGIN_DELETION_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_CATEGORY_ACTION SYSRES_CONST_ADMINISTRATION\
+_HISTORY_UPDATING_CATEGORY_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_COMP_TITLE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_FULL_NAME_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION SYSRES_CONST_AD\
+MINISTRATION_HISTORY_UPDATING_PARENT_GROUP_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_AUTH_TYPE_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_LOGIN_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION SYSRES_CONST_ADMINISTRATION_HISTORY_UPDATING_USER_STATUS_ACTION_CODE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_P\
+ASSWORD_CHANGE SYSRES_CONST_ADMINISTRATION_HISTORY_USER_PASSWORD_CHANGE_ACTION SYSRES_CONST_ALL_ACCEPT_CONDITION_RUS SYSRES_CONST_ALL_USERS_GROUP SYSRES_CONST_ALL_USERS_GROUP_NAME SYSRES_CONST_ALL_USERS_SERVER_GROUP_NAME SYSRES_CONST_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_APP_VIEWER_TYPE_REQUISITE_CODE SYSRES_CONST_APPROVING_SIGNATURE_NAME SYSRES_CONST_APPROVING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_ASSISTANT_SUBSTITUE_TYPE SYSRES_CONST_ASSISTANT_SUBSTITUE_TY\
+PE_CODE SYSRES_CONST_ATTACH_TYPE_COMPONENT_TOKEN SYSRES_CONST_ATTACH_TYPE_DOC SYSRES_CONST_ATTACH_TYPE_EDOC SYSRES_CONST_ATTACH_TYPE_FOLDER SYSRES_CONST_ATTACH_TYPE_JOB SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_\
+REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CO\
+DE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CE\
+RTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CONST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPO\
+NENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION \
+SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_CODE SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONEN\
+T_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_C\
+ONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE\
+ SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_DATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CON\
+ST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_C\
+ODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_CODE SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SY\
+SRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENCE_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIG\
+HTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLET\
+E_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SY\
+SRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAST_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST\
+_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FOLDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_F\
+ROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSRES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONS\
+T_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES\
+_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_CONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALU\
+E SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSR\
+ES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_KIND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_\
+CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT S\
+YSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUIS\
+ITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISI\
+TE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CONST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_\
+TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOCK_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_O\
+PERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYS\
+RES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONST_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRE\
+S_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CONST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE\
+_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_REMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRE\
+S_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_RE\
+QUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CONST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONS\
+T_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYSRES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES\
+_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 SYSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TY\
+PE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIVE_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE\
+_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALUE SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_\
+NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_TYPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_C\
+ONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE\
+_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_ORANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEF\
+T_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRING_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSR\
+ES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE \
+SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_REFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_T\
+EXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR SYSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_\
+ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE S\
+YSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DE\
+VELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE \
+SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAI\
+TING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING  SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETALON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CON\
+ST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE "+"CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE "+"ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME "+"DE\
+CISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_BLOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY "+"ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION "+"JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPER\
+TY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JO\
+B_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY "+"ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_CODE "+"smHidden smMaximized smMinimized smNormal wmNo wmYes "+"COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND "+"COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE "+"MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITO\
+R_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITOR_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY "+"NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BL\
+OCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY "+"dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError d\
+seOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdate reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT "+"CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM "+"ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_\
+ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_EDOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV L\
+OG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToAll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE\
+_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME "+"PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_R\
+IGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE "+"ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE\
+_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEUDOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFE\
+RENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE "+"CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SIGN_AND_ENCRYPT "+"STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER "+"COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE "+"SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_C\
+ONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_DATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSRE\
+Q_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_\
+FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATABASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_\
+ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ\
+_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SECTION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VER\
+SION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSREQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARA\
+M_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LINE_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORM\
+AT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_REF_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_T\
+YPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_IN_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_\
+REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELECT_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAM\
+E SYSREQ_USER_GROUPS_GROUP_SERVER_NAME SYSREQ_USERS_ACCESS_RIGHTS SYSREQ_USERS_AUTHENTICATION SYSREQ_USERS_CATEGORY SYSREQ_USERS_COMPONENT SYSREQ_USERS_COMPONENT_USER_IS_PUBLIC SYSREQ_USERS_DOMAIN SYSREQ_USERS_FULL_USER_NAME SYSREQ_USERS_GROUP SYSREQ_USERS_IS_MAIN_SERVER SYSREQ_USERS_LOGIN SYSREQ_USERS_REFERENCE_USER_IS_PUBLIC SYSREQ_USERS_STATUS SYSREQ_USERS_USER_CERTIFICATE SYSREQ_USERS_USER_CERTIFICATE_INFO SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_NAME SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_VERSION\
+ SYSREQ_USERS_USER_CERTIFICATE_STATE SYSREQ_USERS_USER_CERTIFICATE_SUBJECT_NAME SYSREQ_USERS_USER_CERTIFICATE_THUMBPRINT SYSREQ_USERS_USER_DEFAULT_CERTIFICATE SYSREQ_USERS_USER_DESCRIPTION SYSREQ_USERS_USER_GLOBAL_NAME SYSREQ_USERS_USER_LOGIN SYSREQ_USERS_USER_MAIN_SERVER SYSREQ_USERS_USER_TYPE SYSREQ_WORK_RULES_FOLDER_ID "+"RESULT_VAR_NAME RESULT_VAR_NAME_ENG "+"AUTO_NUMERATION_RULE_ID CANT_CHANGE_ID_REQUISITE_RULE_ID CANT_CHANGE_OURFIRM_REQUISITE_RULE_ID CHECK_CHANGING_REFERENCE_RECORD_USE_RUL\
+E_ID CHECK_CODE_REQUISITE_RULE_ID CHECK_DELETING_REFERENCE_RECORD_USE_RULE_ID CHECK_FILTRATER_CHANGES_RULE_ID CHECK_RECORD_INTERVAL_RULE_ID CHECK_REFERENCE_INTERVAL_RULE_ID CHECK_REQUIRED_DATA_FULLNESS_RULE_ID CHECK_REQUIRED_REQUISITES_FULLNESS_RULE_ID MAKE_RECORD_UNRATIFIED_RULE_ID RESTORE_AUTO_NUMERATION_RULE_ID SET_FIRM_CONTEXT_FROM_RECORD_RULE_ID SET_FIRST_RECORD_IN_LIST_FORM_RULE_ID SET_IDSPS_VALUE_RULE_ID SET_NEXT_CODE_VALUE_RULE_ID SET_OURFIRM_BOUNDS_RULE_ID SET_OURFIRM_REQUISITE_RULE_ID "+
+"SCRIPT_BLOCK_AFTER_FINISH_EVENT SCRIPT_BLOCK_BEFORE_START_EVENT SCRIPT_BLOCK_EXECUTION_RESULTS_PROPERTY SCRIPT_BLOCK_NAME_PROPERTY SCRIPT_BLOCK_SCRIPT_PROPERTY "+"SUBTASK_BLOCK_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_AFTER_FINISH_EVENT SUBTASK_BLOCK_ASSIGN_PARAMS_EVENT SUBTASK_BLOCK_ATTACHMENTS_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY SUBTASK_BLOCK_BEFORE_START_EVENT SUBTASK_BLOCK_CREATED_TASK_PROPERTY SUBTASK_BLOCK_CREATION_EVENT SUB\
+TASK_BLOCK_DEADLINE_PROPERTY SUBTASK_BLOCK_IMPORTANCE_PROPERTY SUBTASK_BLOCK_INITIATOR_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY SUBTASK_BLOCK_JOBS_TYPE_PROPERTY SUBTASK_BLOCK_NAME_PROPERTY SUBTASK_BLOCK_PARALLEL_ROUTE_PROPERTY SUBTASK_BLOCK_PERFORMERS_PROPERTY SUBTASK_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY SUBTASK_BLOCK_REQUIRE_SIGN_PROPERTY SUBTASK_BLOCK_STANDARD_ROUTE_PROPERTY SUBTA\
+SK_BLOCK_START_EVENT SUBTASK_BLOCK_STEP_CONTROL_PROPERTY SUBTASK_BLOCK_SUBJECT_PROPERTY SUBTASK_BLOCK_TASK_CONTROL_PROPERTY SUBTASK_BLOCK_TEXT_PROPERTY SUBTASK_BLOCK_UNLOCK_ATTACHMENTS_ON_STOP_PROPERTY SUBTASK_BLOCK_USE_STANDARD_ROUTE_PROPERTY SUBTASK_BLOCK_WAIT_FOR_TASK_COMPLETE_PROPERTY "+"SYSCOMP_CONTROL_JOBS SYSCOMP_FOLDERS SYSCOMP_JOBS SYSCOMP_NOTICES SYSCOMP_TASKS "+"SYSDLG_CREATE_EDOCUMENT SYSDLG_CREATE_EDOCUMENT_VERSION SYSDLG_CURRENT_PERIOD SYSDLG_EDIT_FUNCTION_HELP SYSDLG_EDOCUMENT_KIN\
+DS_FOR_TEMPLATE SYSDLG_EXPORT_MULTIPLE_EDOCUMENTS SYSDLG_EXPORT_SINGLE_EDOCUMENT SYSDLG_IMPORT_EDOCUMENT SYSDLG_MULTIPLE_SELECT SYSDLG_SETUP_ACCESS_RIGHTS SYSDLG_SETUP_DEFAULT_RIGHTS SYSDLG_SETUP_FILTER_CONDITION SYSDLG_SETUP_SIGN_RIGHTS SYSDLG_SETUP_TASK_OBSERVERS SYSDLG_SETUP_TASK_ROUTE SYSDLG_SETUP_USERS_LIST SYSDLG_SIGN_EDOCUMENT SYSDLG_SIGN_MULTIPLE_EDOCUMENTS "+"SYSREF_ACCESS_RIGHTS_TYPES SYSREF_ADMINISTRATION_HISTORY SYSREF_ALL_AVAILABLE_COMPONENTS SYSREF_ALL_AVAILABLE_PRIVILEGES SYSREF_A\
+LL_REPLICATING_COMPONENTS SYSREF_AVAILABLE_DEVELOPERS_COMPONENTS SYSREF_CALENDAR_EVENTS SYSREF_COMPONENT_TOKEN_HISTORY SYSREF_COMPONENT_TOKENS SYSREF_COMPONENTS SYSREF_CONSTANTS SYSREF_DATA_RECEIVE_PROTOCOL SYSREF_DATA_SEND_PROTOCOL SYSREF_DIALOGS SYSREF_DIALOGS_REQUISITES SYSREF_EDITORS SYSREF_EDOC_CARDS SYSREF_EDOC_TYPES SYSREF_EDOCUMENT_CARD_REQUISITES SYSREF_EDOCUMENT_CARD_TYPES SYSREF_EDOCUMENT_CARD_TYPES_REFERENCE SYSREF_EDOCUMENT_CARDS SYSREF_EDOCUMENT_HISTORY SYSREF_EDOCUMENT_KINDS SYSRE\
+F_EDOCUMENT_REQUISITES SYSREF_EDOCUMENT_SIGNATURES SYSREF_EDOCUMENT_TEMPLATES SYSREF_EDOCUMENT_TEXT_STORAGES SYSREF_EDOCUMENT_VIEWS SYSREF_FILTERER_SETUP_CONFLICTS SYSREF_FILTRATER_SETTING_CONFLICTS SYSREF_FOLDER_HISTORY SYSREF_FOLDERS SYSREF_FUNCTION_GROUPS SYSREF_FUNCTION_PARAMS SYSREF_FUNCTIONS SYSREF_JOB_HISTORY SYSREF_LINKS SYSREF_LOCALIZATION_DICTIONARY SYSREF_LOCALIZATION_LANGUAGES SYSREF_MODULES SYSREF_PRIVILEGES SYSREF_RECORD_HISTORY SYSREF_REFERENCE_REQUISITES SYSREF_REFERENCE_TYPE_VIE\
+WS SYSREF_REFERENCE_TYPES SYSREF_REFERENCES SYSREF_REFERENCES_REQUISITES SYSREF_REMOTE_SERVERS SYSREF_REPLICATION_SESSIONS_LOG SYSREF_REPLICATION_SESSIONS_PROTOCOL SYSREF_REPORTS SYSREF_ROLES SYSREF_ROUTE_BLOCK_GROUPS SYSREF_ROUTE_BLOCKS SYSREF_SCRIPTS SYSREF_SEARCHES SYSREF_SERVER_EVENTS SYSREF_SERVER_EVENTS_HISTORY SYSREF_STANDARD_ROUTE_GROUPS SYSREF_STANDARD_ROUTES SYSREF_STATUSES SYSREF_SYSTEM_SETTINGS SYSREF_TASK_HISTORY SYSREF_TASK_KIND_GROUPS SYSREF_TASK_KINDS SYSREF_TASK_RIGHTS SYSREF_TA\
+SK_SIGNATURES SYSREF_TASKS SYSREF_UNITS SYSREF_USER_GROUPS SYSREF_USER_GROUPS_REFERENCE SYSREF_USER_SUBSTITUTION SYSREF_USERS SYSREF_USERS_REFERENCE SYSREF_VIEWERS SYSREF_WORKING_TIME_CALENDARS "+"ACCESS_RIGHTS_TABLE_NAME EDMS_ACCESS_TABLE_NAME EDOC_TYPES_TABLE_NAME "+"TEST_DEV_DB_NAME TEST_DEV_SYSTEM_CODE TEST_EDMS_DB_NAME TEST_EDMS_MAIN_CODE TEST_EDMS_MAIN_DB_NAME TEST_EDMS_SECOND_CODE TEST_EDMS_SECOND_DB_NAME TEST_EDMS_SYSTEM_CODE TEST_ISB5_MAIN_CODE TEST_ISB5_SECOND_CODE TEST_SQL_SERVER_2005\
+_NAME TEST_SQL_SERVER_NAME "+"ATTENTION_CAPTION cbsCommandLinks cbsDefault CONFIRMATION_CAPTION ERROR_CAPTION INFORMATION_CAPTION mrCancel mrOk "+"EDOC_VERSION_ACTIVE_STAGE_CODE EDOC_VERSION_DESIGN_STAGE_CODE EDOC_VERSION_OBSOLETE_STAGE_CODE "+"cpDataEnciphermentEnabled cpDigitalSignatureEnabled cpID cpIssuer cpPluginVersion cpSerial cpSubjectName cpSubjSimpleName cpValidFromDate cpValidToDate "+"ISBL_SYNTAX NO_SYNTAX XML_SYNTAX "+"WAIT_BLOCK_AFTER_FINISH_EVENT WAIT_BLOCK_BEFORE_START_EVENT WAIT\
+_BLOCK_DEADLINE_PROPERTY WAIT_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY WAIT_BLOCK_NAME_PROPERTY WAIT_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY "+"SYSRES_COMMON SYSRES_CONST SYSRES_MBFUNC SYSRES_SBDATA SYSRES_SBGUI SYSRES_SBINTF SYSRES_SBREFDSC SYSRES_SQLERRORS SYSRES_SYSCOMP ",ENUMS="atUser atGroup atRole "+"aemEnabledAlways aemDisabledAlways aemEnabledOnBrowse aemEnabledOnEdit aemDisabledOnBrowseEmpty "+"apBegin apEnd "+"alLeft alRight "+"asmNever asmNoButCustomize asmAsLastTime asmYesButCustomize asmAl\
+ways "+"cirCommon cirRevoked "+"ctSignature ctEncode ctSignatureEncode "+"clbUnchecked clbChecked clbGrayed "+"ceISB ceAlways ceNever "+"ctDocument ctReference ctScript ctUnknown ctReport ctDialog ctFunction ctFolder ctEDocument ctTask ctJob ctNotice ctControlJob "+"cfInternal cfDisplay "+"ciUnspecified ciWrite ciRead "+"ckFolder ckEDocument ckTask ckJob ckComponentToken ckAny ckReference ckScript ckReport ckDialog "+"ctISBLEditor ctBevel ctButton ctCheckListBox ctComboBox ctComboEdit ctGrid ctD\
+BCheckBox ctDBComboBox ctDBEdit ctDBEllipsis ctDBMemo ctDBNavigator ctDBRadioGroup ctDBStatusLabel ctEdit ctGroupBox ctInplaceHint ctMemo ctPanel ctListBox ctRadioButton ctRichEdit ctTabSheet ctWebBrowser ctImage ctHyperLink ctLabel ctDBMultiEllipsis ctRibbon ctRichView ctInnerPanel ctPanelGroup ctBitButton "+"cctDate cctInteger cctNumeric cctPick cctReference cctString cctText "+"cltInternal cltPrimary cltGUI "+"dseBeforeOpen dseAfterOpen dseBeforeClose dseAfterClose dseOnValidDelete dseBeforeD\
+elete dseAfterDelete dseAfterDeleteOutOfTransaction dseOnDeleteError dseBeforeInsert dseAfterInsert dseOnValidUpdate dseBeforeUpdate dseOnUpdateRatifiedRecord dseAfterUpdate dseAfterUpdateOutOfTransaction dseOnUpdateError dseAfterScroll dseOnOpenRecord dseOnCloseRecord dseBeforeCancel dseAfterCancel dseOnUpdateDeadlockError dseBeforeDetailUpdate dseOnPrepareUpdate dseOnAnyRequisiteChange "+"dssEdit dssInsert dssBrowse dssInActive "+"dftDate dftShortDate dftDateTime dftTimeStamp "+"dotDays dotHou\
+rs dotMinutes dotSeconds "+"dtkndLocal dtkndUTC "+"arNone arView arEdit arFull "+"ddaView ddaEdit "+"emLock emEdit emSign emExportWithLock emImportWithUnlock emChangeVersionNote emOpenForModify emChangeLifeStage emDelete emCreateVersion emImport emUnlockExportedWithLock emStart emAbort emReInit emMarkAsReaded emMarkAsUnreaded emPerform emAccept emResume emChangeRights emEditRoute emEditObserver emRecoveryFromLocalCopy emChangeWorkAccessType emChangeEncodeTypeToCertificate emChangeEncodeTypeToPas\
+sword emChangeEncodeTypeToNone emChangeEncodeTypeToCertificatePassword emChangeStandardRoute emGetText emOpenForView emMoveToStorage emCreateObject emChangeVersionHidden emDeleteVersion emChangeLifeCycleStage emApprovingSign emExport emContinue emLockFromEdit emUnLockForEdit emLockForServer emUnlockFromServer emDelegateAccessRights emReEncode "+"ecotFile ecotProcess "+"eaGet eaCopy eaCreate eaCreateStandardRoute "+"edltAll edltNothing edltQuery "+"essmText essmCard "+"esvtLast esvtLastActive esv\
+tSpecified "+"edsfExecutive edsfArchive "+"edstSQLServer edstFile "+"edvstNone edvstEDocumentVersionCopy edvstFile edvstTemplate edvstScannedFile "+"vsDefault vsDesign vsActive vsObsolete "+"etNone etCertificate etPassword etCertificatePassword "+"ecException ecWarning ecInformation "+"estAll estApprovingOnly "+"evtLast evtLastActive evtQuery "+"fdtString fdtNumeric fdtInteger fdtDate fdtText fdtUnknown fdtWideString fdtLargeInteger "+"ftInbox ftOutbox ftFavorites ftCommonFolder ftUserFolder ftC\
+omponents ftQuickLaunch ftShortcuts ftSearch "+"grhAuto grhX1 grhX2 grhX3 "+"hltText hltRTF hltHTML "+"iffBMP iffJPEG iffMultiPageTIFF iffSinglePageTIFF iffTIFF iffPNG "+"im8bGrayscale im24bRGB im1bMonochrome "+"itBMP itJPEG itWMF itPNG "+"ikhInformation ikhWarning ikhError ikhNoIcon "+"icUnknown icScript icFunction icIntegratedReport icAnalyticReport icDataSetEventHandler icActionHandler icFormEventHandler icLookUpEventHandler icRequisiteChangeEventHandler icBeforeSearchEventHandler icRoleCalcu\
+lation icSelectRouteEventHandler icBlockPropertyCalculation icBlockQueryParamsEventHandler icChangeSearchResultEventHandler icBlockEventHandler icSubTaskInitEventHandler icEDocDataSetEventHandler icEDocLookUpEventHandler icEDocActionHandler icEDocFormEventHandler icEDocRequisiteChangeEventHandler icStructuredConversionRule icStructuredConversionEventBefore icStructuredConversionEventAfter icWizardEventHandler icWizardFinishEventHandler icWizardStepEventHandler icWizardStepFinishEventHandler icWi\
+zardActionEnableEventHandler icWizardActionExecuteEventHandler icCreateJobsHandler icCreateNoticesHandler icBeforeLookUpEventHandler icAfterLookUpEventHandler icTaskAbortEventHandler icWorkflowBlockActionHandler icDialogDataSetEventHandler icDialogActionHandler icDialogLookUpEventHandler icDialogRequisiteChangeEventHandler icDialogFormEventHandler icDialogValidCloseEventHandler icBlockFormEventHandler icTaskFormEventHandler icReferenceMethod icEDocMethod icDialogMethod icProcessMessageHandler "+
+"isShow isHide isByUserSettings "+"jkJob jkNotice jkControlJob "+"jtInner jtLeft jtRight jtFull jtCross "+"lbpAbove lbpBelow lbpLeft lbpRight "+"eltPerConnection eltPerUser "+"sfcUndefined sfcBlack sfcGreen sfcRed sfcBlue sfcOrange sfcLilac "+"sfsItalic sfsStrikeout sfsNormal "+"ldctStandardRoute ldctWizard ldctScript ldctFunction ldctRouteBlock ldctIntegratedReport ldctAnalyticReport ldctReferenceType ldctEDocumentType ldctDialog ldctServerEvents "+"mrcrtNone mrcrtUser mrcrtMaximal mrcrtCustom "+
+"vtEqual vtGreaterOrEqual vtLessOrEqual vtRange "+"rdYesterday rdToday rdTomorrow rdThisWeek rdThisMonth rdThisYear rdNextMonth rdNextWeek rdLastWeek rdLastMonth "+"rdWindow rdFile rdPrinter "+"rdtString rdtNumeric rdtInteger rdtDate rdtReference rdtAccount rdtText rdtPick rdtUnknown rdtLargeInteger rdtDocument "+"reOnChange reOnChangeValues "+"ttGlobal ttLocal ttUser ttSystem "+"ssmBrowse ssmSelect ssmMultiSelect ssmBrowseModal "+"smSelect smLike smCard "+"stNone stAuthenticating stApproving "+
+"sctString sctStream "+"sstAnsiSort sstNaturalSort "+"svtEqual svtContain "+"soatString soatNumeric soatInteger soatDatetime soatReferenceRecord soatText soatPick soatBoolean soatEDocument soatAccount soatIntegerCollection soatNumericCollection soatStringCollection soatPickCollection soatDatetimeCollection soatBooleanCollection soatReferenceRecordCollection soatEDocumentCollection soatAccountCollection soatContents soatUnknown "+"tarAbortByUser tarAbortByWorkflowException "+"tvtAllWords tvtExact\
+Phrase tvtAnyWord "+"usNone usCompleted usRedSquare usBlueSquare usYellowSquare usGreenSquare usOrangeSquare usPurpleSquare usFollowUp "+"utUnknown utUser utDeveloper utAdministrator utSystemDeveloper utDisconnected "+"btAnd btDetailAnd btOr btNotOr btOnly "+"vmView vmSelect vmNavigation "+"vsmSingle vsmMultiple vsmMultipleCheck vsmNoSelection "+"wfatPrevious wfatNext wfatCancel wfatFinish "+"wfepUndefined wfepText3 wfepText6 wfepText9 wfepSpinEdit wfepDropDown wfepRadioGroup wfepFlag wfepText12\
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+_(TRANSFER|MODIFY|COPY|MOVE|ALL)|PARCEL_(MEDIA_COMMAND_(STOP|PAUSE|PLAY|LOOP|TEXTURE|URL|TIME|AGENT|UNLOAD|AUTO_ALIGN|TYPE|SIZE|DESC|LOOP_SET)|FLAG_(ALLOW_(FLY|(GROUP_)?SCRIPTS|LANDMARK|TERRAFORM|DAMAGE|CREATE_(GROUP_)?OBJECTS)|USE_(ACCESS_(GROUP|LIST)|BAN_LIST|LAND_PASS_LIST)|LOCAL_SOUND_ONLY|RESTRICT_PUSHOBJECT|ALLOW_(GROUP|ALL)_OBJECT_ENTRY)|COUNT_(TOTAL|OWNER|GROUP|OTHER|SELECTED|TEMP)|DETAILS_(NAME|DESC|OWNER|GROUP|AREA|ID|SEE_AVATARS))|LIST_STAT_(MAX|MIN|MEAN|MEDIAN|STD_DEV|SUM(_SQUARES)?|\
+NUM_COUNT|GEOMETRIC_MEAN|RANGE)|PAY_(HIDE|DEFAULT)|REGION_FLAG_(ALLOW_DAMAGE|FIXED_SUN|BLOCK_TERRAFORM|SANDBOX|DISABLE_(COLLISIONS|PHYSICS)|BLOCK_FLY|ALLOW_DIRECT_TELEPORT|RESTRICT_PUSHOBJECT)|HTTP_(METHOD|MIMETYPE|BODY_(MAXLENGTH|TRUNCATED)|CUSTOM_HEADER|PRAGMA_NO_CACHE|VERBOSE_THROTTLE|VERIFY_CERT)|SIT_(INVALID_(AGENT|LINK_OBJECT)|NO(T_EXPERIENCE|_(ACCESS|EXPERIENCE_PERMISSION|SIT_TARGET)))|STRING_(TRIM(_(HEAD|TAIL))?)|CLICK_ACTION_(NONE|TOUCH|SIT|BUY|PAY|OPEN(_MEDIA)?|PLAY|ZOOM)|TOUCH_INVALID\
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+|Type|Creator|PermMask)|Permissions(Key)?|StartParameter|List(Length|EntryType)|Date|Agent(Size|Info|Language|List)|LandOwnerAt|NotecardLine|Script(Name|State))|(Get|Reset|GetAndReset)Time|PlaySound(Slave)?|LoopSound(Master|Slave)?|(Trigger|Stop|Preload)Sound|((Get|Delete)Sub|Insert)String|To(Upper|Lower)|Give(InventoryList|Money)|RezObject|(Stop)?LookAt|Sleep|CollisionFilter|(Take|Release)Controls|DetachFromAvatar|AttachToAvatar(Temp)?|InstantMessage|(GetNext)?Email|StopHover|MinEventDelay|RotL\
+ookAt|String(Length|Trim)|(Start|Stop)Animation|TargetOmega|Request(Experience)?Permissions|(Create|Break)Link|BreakAllLinks|(Give|Remove)Inventory|Water|PassTouches|Request(Agent|Inventory)Data|TeleportAgent(Home|GlobalCoords)?|ModifyLand|CollisionSound|ResetScript|MessageLinked|PushObject|PassCollisions|AxisAngle2Rot|Rot2(Axis|Angle)|A(cos|sin)|AngleBetween|AllowInventoryDrop|SubStringIndex|List2(CSV|Integer|Json|Float|String|Key|Vector|Rot|List(Strided)?)|DeleteSubList|List(Statistics|Sort|Ra\
+ndomize|(Insert|Find|Replace)List)|EdgeOfWorld|AdjustSoundVolume|Key2Name|TriggerSoundLimited|EjectFromLand|(CSV|ParseString)2List|OverMyLand|SameGroup|UnSit|Ground(Slope|Normal|Contour)|GroundRepel|(Set|Remove)VehicleFlags|SitOnLink|(AvatarOn)?(Link)?SitTarget|Script(Danger|Profiler)|Dialog|VolumeDetect|ResetOtherScript|RemoteLoadScriptPin|(Open|Close)RemoteDataChannel|SendRemoteData|RemoteDataReply|(Integer|String)ToBase64|XorBase64|Log(10)?|Base64To(String|Integer)|ParseStringKeepNulls|RezAtR\
+oot|RequestSimulatorData|ForceMouselook|(Load|Release|(E|Une)scape)URL|ParcelMedia(CommandList|Query)|ModPow|MapDestination|(RemoveFrom|AddTo|Reset)Land(Pass|Ban)List|(Set|Clear)CameraParams|HTTP(Request|Response)|TextBox|DetectedTouch(UV|Face|Pos|(N|Bin)ormal|ST)|(MD5|SHA1|DumpList2)String|Request(Secure)?URL|Clear(Prim|Link)Media|(Link)?ParticleSystem|(Get|Request)(Username|DisplayName)|RegionSayTo|CastRay|GenerateKey|TransferLindenDollars|ManageEstateAccess|(Create|Delete)Character|ExecCharac\
+terCmd|Evade|FleeFrom|NavigateTo|PatrolPoints|Pursue|UpdateCharacter|WanderWithin))\\b"};return{name:"LSL (Linden Scripting Language)",illegal:":",contains:[LSL_STRINGS,{className:"comment",variants:[hljs.COMMENT("//","$"),hljs.COMMENT("/\\*","\\*/")],relevance:0},LSL_NUMBERS,{className:"section",variants:[{begin:"\\b(state|default)\\b"},{begin:"\\b(state_(entry|exit)|touch(_(start|end))?|(land_)?collision(_(start|end))?|timer|listen|(no_)?sensor|control|(not_)?at_(rot_)?target|money|email|experi\
+ence_permissions(_denied)?|run_time_permissions|changed|attach|dataserver|moving_(start|end)|link_message|(on|object)_rez|remote_data|http_re(sponse|quest)|path_update|transaction_result)\\b"}]},LSL_FUNCTIONS,LSL_CONSTANTS,{className:"type",begin:"\\b(integer|float|string|key|vector|quaternion|rotation|list)\\b"}]}}const SYSTEM_SYMBOLS=["AASTriangle","AbelianGroup","Abort","AbortKernels","AbortProtect","AbortScheduledTask","Above","Abs","AbsArg","AbsArgPlot","Absolute","AbsoluteCorrelation","Abs\
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+y arrayapply arrayinfo arraymake arraysetapply ascii asec asech asin asinh askinteger asksign assoc assoc_legendre_p assoc_legendre_q assume assume_external_byte_order asympa at atan atan2 atanh atensimp atom atvalue augcoefmatrix augmented_lagrangian_method av average_degree backtrace bars barsplot barsplot_description base64 base64_decode bashindices batch batchload bc2 bdvac belln benefit_cost bern bernpoly bernstein_approx bernstein_expand bernstein_poly bessel bessel_i bessel_j bessel_k bes\
+sel_simplify bessel_y beta beta_incomplete beta_incomplete_generalized beta_incomplete_regularized bezout bfallroots bffac bf_find_root bf_fmin_cobyla bfhzeta bfloat bfloatp bfpsi bfpsi0 bfzeta biconnected_components bimetric binomial bipartition block blockmatrixp bode_gain bode_phase bothcoef box boxplot boxplot_description break bug_report build_info|10 buildq build_sample burn cabs canform canten cardinality carg cartan cartesian_product catch cauchy_matrix cbffac cdf_bernoulli cdf_beta cdf_\
+binomial cdf_cauchy cdf_chi2 cdf_continuous_uniform cdf_discrete_uniform cdf_exp cdf_f cdf_gamma cdf_general_finite_discrete cdf_geometric cdf_gumbel cdf_hypergeometric cdf_laplace cdf_logistic cdf_lognormal cdf_negative_binomial cdf_noncentral_chi2 cdf_noncentral_student_t cdf_normal cdf_pareto cdf_poisson cdf_rank_sum cdf_rayleigh cdf_signed_rank cdf_student_t cdf_weibull cdisplay ceiling central_moment cequal cequalignore cf cfdisrep cfexpand cgeodesic cgreaterp cgreaterpignore changename cha\
+ngevar chaosgame charat charfun charfun2 charlist charp charpoly chdir chebyshev_t chebyshev_u checkdiv check_overlaps chinese cholesky christof chromatic_index chromatic_number cint circulant_graph clear_edge_weight clear_rules clear_vertex_label clebsch_gordan clebsch_graph clessp clesspignore close closefile cmetric coeff coefmatrix cograd col collapse collectterms columnop columnspace columnswap columnvector combination combine comp2pui compare compfile compile compile_file complement_graph \
+complete_bipartite_graph complete_graph complex_number_p components compose_functions concan concat conjugate conmetderiv connected_components connect_vertices cons constant constantp constituent constvalue cont2part content continuous_freq contortion contour_plot contract contract_edge contragrad contrib_ode convert coord copy copy_file copy_graph copylist copymatrix cor cos cosh cot coth cov cov1 covdiff covect covers crc24sum create_graph create_list csc csch csetup cspline ctaylor ct_coordsy\
+s ctransform ctranspose cube_graph cuboctahedron_graph cunlisp cv cycle_digraph cycle_graph cylindrical days360 dblint deactivate declare declare_constvalue declare_dimensions declare_fundamental_dimensions declare_fundamental_units declare_qty declare_translated declare_unit_conversion declare_units declare_weights decsym defcon define define_alt_display define_variable defint defmatch defrule defstruct deftaylor degree_sequence del delete deleten delta demo demoivre denom depends derivdegree d\
+erivlist describe desolve determinant dfloat dgauss_a dgauss_b dgeev dgemm dgeqrf dgesv dgesvd diag diagmatrix diag_matrix diagmatrixp diameter diff digitcharp dimacs_export dimacs_import dimension dimensionless dimensions dimensions_as_list direct directory discrete_freq disjoin disjointp disolate disp dispcon dispform dispfun dispJordan display disprule dispterms distrib divide divisors divsum dkummer_m dkummer_u dlange dodecahedron_graph dotproduct dotsimp dpart draw draw2d draw3d drawdf draw\
+_file draw_graph dscalar echelon edge_coloring edge_connectivity edges eigens_by_jacobi eigenvalues eigenvectors eighth einstein eivals eivects elapsed_real_time elapsed_run_time ele2comp ele2polynome ele2pui elem elementp elevation_grid elim elim_allbut eliminate eliminate_using ellipse elliptic_e elliptic_ec elliptic_eu elliptic_f elliptic_kc elliptic_pi ematrix empty_graph emptyp endcons entermatrix entertensor entier equal equalp equiv_classes erf erfc erf_generalized erfi errcatch error err\
+ormsg errors euler ev eval_string evenp every evolution evolution2d evundiff example exp expand expandwrt expandwrt_factored expint expintegral_chi expintegral_ci expintegral_e expintegral_e1 expintegral_ei expintegral_e_simplify expintegral_li expintegral_shi expintegral_si explicit explose exponentialize express expt exsec extdiff extract_linear_equations extremal_subset ezgcd %f f90 facsum factcomb factor factorfacsum factorial factorout factorsum facts fast_central_elements fast_linsolve fas\
+ttimes featurep fernfale fft fib fibtophi fifth filename_merge file_search file_type fillarray findde find_root find_root_abs find_root_error find_root_rel first fix flatten flength float floatnump floor flower_snark flush flush1deriv flushd flushnd flush_output fmin_cobyla forget fortran fourcos fourexpand fourier fourier_elim fourint fourintcos fourintsin foursimp foursin fourth fposition frame_bracket freeof freshline fresnel_c fresnel_s from_adjacency_matrix frucht_graph full_listify fullmap\
+ fullmapl fullratsimp fullratsubst fullsetify funcsolve fundamental_dimensions fundamental_units fundef funmake funp fv g0 g1 gamma gamma_greek gamma_incomplete gamma_incomplete_generalized gamma_incomplete_regularized gauss gauss_a gauss_b gaussprob gcd gcdex gcdivide gcfac gcfactor gd generalized_lambert_w genfact gen_laguerre genmatrix gensym geo_amortization geo_annuity_fv geo_annuity_pv geomap geometric geometric_mean geosum get getcurrentdirectory get_edge_weight getenv get_lu_factors get_\
+output_stream_string get_pixel get_plot_option get_tex_environment get_tex_environment_default get_vertex_label gfactor gfactorsum ggf girth global_variances gn gnuplot_close gnuplot_replot gnuplot_reset gnuplot_restart gnuplot_start go Gosper GosperSum gr2d gr3d gradef gramschmidt graph6_decode graph6_encode graph6_export graph6_import graph_center graph_charpoly graph_eigenvalues graph_flow graph_order graph_periphery graph_product graph_size graph_union great_rhombicosidodecahedron_graph grea\
+t_rhombicuboctahedron_graph grid_graph grind grobner_basis grotzch_graph hamilton_cycle hamilton_path hankel hankel_1 hankel_2 harmonic harmonic_mean hav heawood_graph hermite hessian hgfred hilbertmap hilbert_matrix hipow histogram histogram_description hodge horner hypergeometric i0 i1 %ibes ic1 ic2 ic_convert ichr1 ichr2 icosahedron_graph icosidodecahedron_graph icurvature ident identfor identity idiff idim idummy ieqn %if ifactors iframes ifs igcdex igeodesic_coords ilt image imagpart imetri\
+c implicit implicit_derivative implicit_plot indexed_tensor indices induced_subgraph inferencep inference_result infix info_display init_atensor init_ctensor in_neighbors innerproduct inpart inprod inrt integerp integer_partitions integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacob\
+i_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_connected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_se\
+t julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtos\
+is_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerre lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomia\
+ls listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make\
+_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbrot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_devi\
+ation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeometric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpac\
+k_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_momen\
+t nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp o\
+rthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hyperg\
+eometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp\
+ poissubst poistimes poistrim polar polarform polartorect polar_to_xy poly_add poly_buchberger poly_buchberger_criterion poly_colon_ideal poly_content polydecomp poly_depends_p poly_elimination_ideal poly_exact_divide poly_expand poly_expt poly_gcd polygon poly_grobner poly_grobner_equal poly_grobner_member poly_grobner_subsetp poly_ideal_intersection poly_ideal_polysaturation poly_ideal_polysaturation1 poly_ideal_saturation poly_ideal_saturation1 poly_lcm poly_minimization polymod poly_multiply\
+ polynome2ele polynomialp poly_normal_form poly_normalize poly_normalize_list poly_polysaturation_extension poly_primitive_part poly_pseudo_divide poly_reduced_grobner poly_reduction poly_saturation_extension poly_s_polynomial poly_subtract polytocompanion pop postfix potential power_mod powerseries powerset prefix prev_prime primep primes principal_components print printf printfile print_graph printpois printprops prodrac product properties propvars psi psubst ptriangularize pui pui2comp pui2el\
+e pui2polynome pui_direct puireduc push put pv qput qrange qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal qu\
+antile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric ra\
+ndom_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars\
+ ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions r\
+emove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row\
+ rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_si\
+mplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geom\
+etric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort sparse6_decode spar\
+se6_encode sparse6_export sparse6_import specint spherical spherical_bessel_j spherical_bessel_y spherical_hankel1 spherical_hankel2 spherical_harmonic spherical_to_xyz splice split sposition sprint sqfr sqrt sqrtdenest sremove sremovefirst sreverse ssearch ssort sstatus ssubst ssubstfirst staircase standardize standardize_inverse_trig starplot starplot_description status std std1 std_bernoulli std_beta std_binomial std_chi2 std_continuous_uniform std_discrete_uniform std_exp std_f std_gamma std\
+_general_finite_discrete std_geometric std_gumbel std_hypergeometric std_laplace std_logistic std_lognormal std_negative_binomial std_noncentral_chi2 std_noncentral_student_t std_normal std_pareto std_poisson std_rayleigh std_student_t std_weibull stemplot stirling stirling1 stirling2 strim striml strimr string stringout stringp strong_components struve_h struve_l sublis sublist sublist_indices submatrix subsample subset subsetp subst substinpart subst_parallel substpart substring subvar subvarp\
+ sum sumcontract summand_to_rec supcase supcontext symbolp symmdifference symmetricp system take_channel take_inference tan tanh taylor taylorinfo taylorp taylor_simplifier taytorat tcl_output tcontract tellrat tellsimp tellsimpafter tentex tenth test_mean test_means_difference test_normality test_proportion test_proportions_difference test_rank_sum test_sign test_signed_rank test_variance test_variance_ratio tex tex1 tex_display texput %th third throw time timedate timer timer_info tldefint tli\
+mit todd_coxeter toeplitz tokens to_lisp topological_sort to_poly to_poly_solve totaldisrep totalfourier totient tpartpol trace tracematrix trace_options transform_sample translate translate_file transpose treefale tree_reduce treillis treinat triangle triangularize trigexpand trigrat trigreduce trigsimp trunc truncate truncated_cube_graph truncated_dodecahedron_graph truncated_icosahedron_graph truncated_tetrahedron_graph tr_warnings_get tube tutte_graph ueivects uforget ultraspherical underlyi\
+ng_graph undiff union unique uniteigenvectors unitp units unit_step unitvector unorder unsum untellrat untimer untrace uppercasep uricci uriemann uvect vandermonde_matrix var var1 var_bernoulli var_beta var_binomial var_chi2 var_continuous_uniform var_discrete_uniform var_exp var_f var_gamma var_general_finite_discrete var_geometric var_gumbel var_hypergeometric var_laplace var_logistic var_lognormal var_negative_binomial var_noncentral_chi2 var_noncentral_student_t var_normal var_pareto var_poi\
+sson var_rayleigh var_student_t var_weibull vector vectorpotential vectorsimp verbify vers vertex_coloring vertex_connectivity vertex_degree vertex_distance vertex_eccentricity vertex_in_degree vertex_out_degree vertices vertices_to_cycle vertices_to_path %w weyl wheel_graph wiener_index wigner_3j wigner_6j wigner_9j with_stdout write_binary_data writebyte write_data writefile wronskian xreduce xthru %y Zeilberger zeroequiv zerofor zeromatrix zeromatrixp zeta zgeev zheev zlange zn_add_table zn_c\
+armichael_lambda zn_characteristic_factors zn_determinant zn_factor_generators zn_invert_by_lu zn_log zn_mult_table absboxchar activecontexts adapt_depth additive adim aform algebraic algepsilon algexact aliases allbut all_dotsimp_denoms allocation allsym alphabetic animation antisymmetric arrays askexp assume_pos assume_pos_pred assumescalar asymbol atomgrad atrig1 axes axis_3d axis_bottom axis_left axis_right axis_top azimuth background background_color backsubst berlefact bernstein_explicit b\
+esselexpand beta_args_sum_to_integer beta_expand bftorat bftrunc bindtest border boundaries_array box boxchar breakup %c capping cauchysum cbrange cbtics center cflength cframe_flag cnonmet_flag color color_bar color_bar_tics colorbox columns commutative complex cone context contexts contour contour_levels cosnpiflag ctaypov ctaypt ctayswitch ctayvar ct_coords ctorsion_flag ctrgsimp cube current_let_rule_package cylinder data_file_name debugmode decreasing default_let_rule_package delay dependen\
+cies derivabbrev derivsubst detout diagmetric diff dim dimensions dispflag display2d|10 display_format_internal distribute_over doallmxops domain domxexpt domxmxops domxnctimes dontfactor doscmxops doscmxplus dot0nscsimp dot0simp dot1simp dotassoc dotconstrules dotdistrib dotexptsimp dotident dotscrules draw_graph_program draw_realpart edge_color edge_coloring edge_partition edge_type edge_width %edispflag elevation %emode endphi endtheta engineering_format_floats enhanced3d %enumer epsilon_lp e\
+rfflag erf_representation errormsg error_size error_syms error_type %e_to_numlog eval even evenfun evflag evfun ev_point expandwrt_denom expintexpand expintrep expon expop exptdispflag exptisolate exptsubst facexpand facsum_combine factlim factorflag factorial_expand factors_only fb feature features file_name file_output_append file_search_demo file_search_lisp file_search_maxima|10 file_search_tests file_search_usage file_type_lisp file_type_maxima|10 fill_color fill_density filled_func fixed_v\
+ertices flipflag float2bf font font_size fortindent fortspaces fpprec fpprintprec functions gamma_expand gammalim gdet genindex gensumnum GGFCFMAX GGFINFINITY globalsolve gnuplot_command gnuplot_curve_styles gnuplot_curve_titles gnuplot_default_term_command gnuplot_dumb_term_command gnuplot_file_args gnuplot_file_name gnuplot_out_file gnuplot_pdf_term_command gnuplot_pm3d gnuplot_png_term_command gnuplot_postamble gnuplot_preamble gnuplot_ps_term_command gnuplot_svg_term_command gnuplot_term gnu\
+plot_view_args Gosper_in_Zeilberger gradefs grid grid2d grind halfangles head_angle head_both head_length head_type height hypergeometric_representation %iargs ibase icc1 icc2 icounter idummyx ieqnprint ifb ifc1 ifc2 ifg ifgi ifr iframe_bracket_form ifri igeowedge_flag ikt1 ikt2 imaginary inchar increasing infeval infinity inflag infolists inm inmc1 inmc2 intanalysis integer integervalued integrate_use_rootsof integration_constant integration_constant_counter interpolate_color intfaclim ip_grid \
+ip_grid_in irrational isolate_wrt_times iterations itr julia_parameter %k1 %k2 keepfloat key key_pos kinvariant kt label label_alignment label_orientation labels lassociative lbfgs_ncorrections lbfgs_nfeval_max leftjust legend letrat let_rule_packages lfg lg lhospitallim limsubst linear linear_solver linechar linel|10 linenum line_type linewidth line_width linsolve_params linsolvewarn lispdisp listarith listconstvars listdummyvars lmxchar load_pathname loadprint logabs logarc logcb logconcoeffp \
+logexpand lognegint logsimp logx logx_secondary logy logy_secondary logz lriem m1pbranch macroexpansion macros mainvar manual_demo maperror mapprint matrix_element_add matrix_element_mult matrix_element_transpose maxapplydepth maxapplyheight maxima_tempdir|10 maxima_userdir|10 maxnegex MAX_ORD maxposex maxpsifracdenom maxpsifracnum maxpsinegint maxpsiposint maxtayorder mesh_lines_color method mod_big_prime mode_check_errorp mode_checkp mode_check_warnp mod_test mod_threshold modular_linear_solve\
+r modulus multiplicative multiplicities myoptions nary negdistrib negsumdispflag newline newtonepsilon newtonmaxiter nextlayerfactor niceindicespref nm nmc noeval nolabels nonegative_lp noninteger nonscalar noun noundisp nouns np npi nticks ntrig numer numer_pbranch obase odd oddfun opacity opproperties opsubst optimprefix optionset orientation origin orthopoly_returns_intervals outative outchar packagefile palette partswitch pdf_file pfeformat phiresolution %piargs piece pivot_count_sx pivot_ma\
+x_sx plot_format plot_options plot_realpart png_file pochhammer_max_index points pointsize point_size points_joined point_type poislim poisson poly_coefficient_ring poly_elimination_order polyfactor poly_grobner_algorithm poly_grobner_debug poly_monomial_order poly_primary_elimination_order poly_return_term_list poly_secondary_elimination_order poly_top_reduction_only posfun position powerdisp pred prederror primep_number_of_tests product_use_gamma program programmode promote_float_to_bigfloat p\
+rompt proportional_axes props psexpand ps_file radexpand radius radsubstflag rassociative ratalgdenom ratchristof ratdenomdivide rateinstein ratepsilon ratfac rational ratmx ratprint ratriemann ratsimpexpons ratvarswitch ratweights ratweyl ratwtlvl real realonly redraw refcheck resolution restart resultant ric riem rmxchar %rnum_list rombergabs rombergit rombergmin rombergtol rootsconmode rootsepsilon run_viewer same_xy same_xyz savedef savefactors scalar scalarmatrixp scale scale_lp setcheck se\
+tcheckbreak setval show_edge_color show_edges show_edge_type show_edge_width show_id show_label showtime show_vertex_color show_vertex_size show_vertex_type show_vertices show_weight simp simplified_output simplify_products simpproduct simpsum sinnpiflag solvedecomposes solveexplicit solvefactors solvenullwarn solveradcan solvetrigwarn space sparse sphere spring_embedding_depth sqrtdispflag stardisp startphi starttheta stats_numer stringdisp structures style sublis_apply_lambda subnumsimp sumexp\
+and sumsplitfact surface surface_hide svg_file symmetric tab taylordepth taylor_logexpand taylor_order_coefficients taylor_truncate_polynomials tensorkill terminal testsuite_files thetaresolution timer_devalue title tlimswitch tr track transcompile transform transform_xy translate_fast_arrays transparent transrun tr_array_as_ref tr_bound_function_applyp tr_file_tty_messagesp tr_float_can_branch_complex tr_function_call_default trigexpandplus trigexpandtimes triginverses trigsign trivial_solution\
+s tr_numer tr_optimize_max_loop tr_semicompile tr_state_vars tr_warn_bad_function_calls tr_warn_fexpr tr_warn_meval tr_warn_mode tr_warn_undeclared tr_warn_undefined_variable tstep ttyoff tube_extremes ufg ug %unitexpand unit_vectors uric uriem use_fast_arrays user_preamble usersetunits values vect_cross verbose vertex_color vertex_coloring vertex_partition vertex_size vertex_type view warnings weyl width windowname windowtitle wired_surface wireframe xaxis xaxis_color xaxis_secondary xaxis_type\
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+built_in:"block match pass load anchor|5 antispoof|10 set table",keyword:"in out log quick on rdomain inet inet6 proto from port os to route allow-opts divert-packet divert-reply divert-to flags group icmp-type icmp6-type label once probability recieved-on rtable prio queue tos tag tagged user keep fragment for os drop af-to|10 binat-to|10 nat-to|10 rdr-to|10 bitmask least-stats random round-robin source-hash static-port dup-to reply-to route-to parent bandwidth default min max qlimit block-poli\
+cy debug fingerprints hostid limit loginterface optimization reassemble ruleset-optimization basic none profile skip state-defaults state-policy timeout const counters persist no modulate synproxy state|5 floating if-bound no-sync pflow|10 sloppy source-track global rule max-src-nodes max-src-states max-src-conn max-src-conn-rate overload flush scrub|5 max-mss min-ttl no-df|10 random-id",literal:"all any no-route self urpf-failed egress|5 unknown"},contains:[hljs.HASH_COMMENT_MODE,hljs.NUMBER_MODE,
+hljs.QUOTE_STRING_MODE,MACRO,TABLE]}}function pgsql(hljs){const COMMENT_MODE=hljs.COMMENT("--","$"),UNQUOTED_IDENT="[a-zA-Z_][a-zA-Z_0-9$]*",DOLLAR_STRING="\\$([a-zA-Z_]?|[a-zA-Z_][a-zA-Z_0-9]*)\\$",LABEL="<<\\s*"+UNQUOTED_IDENT+"\\s*>>",SQL_KW="ABORT ALTER ANALYZE BEGIN CALL CHECKPOINT|10 CLOSE CLUSTER COMMENT COMMIT COPY CREATE DEALLOCATE DECLARE DELETE DISCARD DO DROP END EXECUTE EXPLAIN FETCH GRANT IMPORT INSERT LISTEN LOAD LOCK MOVE NOTIFY PREPARE REASSIGN|10 REFRESH REINDEX RELEASE RESET R\
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+WNED TO INTO SESSION AUTHORIZATION INDEX PROCEDURE ASSERTION ALL ANALYSE AND ANY ARRAY ASC ASYMMETRIC|10 BOTH CASE CHECK COLLATE COLUMN CONCURRENTLY|10 CONSTRAINT CROSS DEFERRABLE RANGE DESC DISTINCT ELSE EXCEPT FOR FREEZE|10 FROM FULL HAVING ILIKE IN INITIALLY INNER INTERSECT IS ISNULL JOIN LATERAL LEADING LIKE LIMIT NATURAL NOT NOTNULL NULL OFFSET ON ONLY OR ORDER OUTER OVERLAPS PLACING PRIMARY REFERENCES RETURNING SIMILAR SOME SYMMETRIC TABLESAMPLE THEN TRAILING UNION UNIQUE USING VARIADIC|10\
+ VERBOSE WHEN WHERE WINDOW WITH BY RETURNS INOUT OUT SETOF|10 IF STRICT CURRENT CONTINUE OWNER LOCATION OVER PARTITION WITHIN BETWEEN ESCAPE EXTERNAL INVOKER DEFINER WORK RENAME VERSION CONNECTION CONNECT TABLES TEMP TEMPORARY FUNCTIONS SEQUENCES TYPES SCHEMAS OPTION CASCADE RESTRICT ADD ADMIN EXISTS VALID VALIDATE ENABLE DISABLE REPLICA|10 ALWAYS PASSING COLUMNS PATH REF VALUE OVERRIDING IMMUTABLE STABLE VOLATILE BEFORE AFTER EACH ROW PROCEDURAL ROUTINE NO HANDLER VALIDATOR OPTIONS STORAGE OIDS\
+|10 WITHOUT INHERIT DEPENDS CALLED INPUT LEAKPROOF|10 COST ROWS NOWAIT SEARCH UNTIL ENCRYPTED|10 PASSWORD CONFLICT|10 INSTEAD INHERITS CHARACTERISTICS WRITE CURSOR ALSO STATEMENT SHARE EXCLUSIVE INLINE ISOLATION REPEATABLE READ COMMITTED SERIALIZABLE UNCOMMITTED LOCAL GLOBAL SQL PROCEDURES RECURSIVE SNAPSHOT ROLLUP CUBE TRUSTED|10 INCLUDE FOLLOWING PRECEDING UNBOUNDED RANGE GROUPS UNENCRYPTED|10 SYSID FORMAT DELIMITER HEADER QUOTE ENCODING FILTER OFF FORCE_QUOTE FORCE_NOT_NULL FORCE_NULL COSTS B\
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+CE DEBUG LOG INFO NOTICE WARNING ASSERT OPEN ",TYPES2="BIGINT INT8 BIGSERIAL SERIAL8 BIT VARYING VARBIT BOOLEAN BOOL BOX BYTEA CHARACTER CHAR VARCHAR CIDR CIRCLE DATE DOUBLE PRECISION FLOAT8 FLOAT INET INTEGER INT INT4 INTERVAL JSON JSONB LINE LSEG|10 MACADDR MACADDR8 MONEY NUMERIC DEC DECIMAL PATH POINT POLYGON REAL FLOAT4 SMALLINT INT2 SMALLSERIAL|10 SERIAL2|10 SERIAL|10 SERIAL4|10 TEXT TIME ZONE TIMETZ|10 TIMESTAMP TIMESTAMPTZ|10 TSQUERY|10 TSVECTOR|10 TXID_SNAPSHOT|10 UUID XML NATIONAL NCHAR\
+ INT4RANGE|10 INT8RANGE|10 NUMRANGE|10 TSRANGE|10 TSTZRANGE|10 DATERANGE|10 ANYELEMENT ANYARRAY ANYNONARRAY ANYENUM ANYRANGE CSTRING INTERNAL RECORD PG_DDL_COMMAND VOID UNKNOWN OPAQUE REFCURSOR NAME OID REGPROC|10 REGPROCEDURE|10 REGOPER|10 REGOPERATOR|10 REGCLASS|10 REGTYPE|10 REGROLE|10 REGNAMESPACE|10 REGCONFIG|10 REGDICTIONARY|10 ",TYPES_RE=TYPES2.trim().split(" ").map(function(val){return val.split("|")[0]}).join("|"),SQL_BI="CURRENT_TIME CURRENT_TIMESTAMP CURRENT_USER CURRENT_CATALOG|10 CU\
+RRENT_DATE LOCALTIME LOCALTIMESTAMP CURRENT_ROLE|10 CURRENT_SCHEMA|10 SESSION_USER PUBLIC ",PLPGSQL_BI="FOUND NEW OLD TG_NAME|10 TG_WHEN|10 TG_LEVEL|10 TG_OP|10 TG_RELID|10 TG_RELNAME|10 TG_TABLE_NAME|10 TG_TABLE_SCHEMA|10 TG_NARGS|10 TG_ARGV|10 TG_EVENT|10 TG_TAG|10 ROW_COUNT RESULT_OID|10 PG_CONTEXT|10 RETURNED_SQLSTATE COLUMN_NAME CONSTRAINT_NAME PG_DATATYPE_NAME|10 MESSAGE_TEXT TABLE_NAME SCHEMA_NAME PG_EXCEPTION_DETAIL|10 PG_EXCEPTION_HINT|10 PG_EXCEPTION_CONTEXT|10 ",PLPGSQL_EXCEPTIONS="SQ\
+LSTATE SQLERRM|10 SUCCESSFUL_COMPLETION WARNING DYNAMIC_RESULT_SETS_RETURNED IMPLICIT_ZERO_BIT_PADDING NULL_VALUE_ELIMINATED_IN_SET_FUNCTION PRIVILEGE_NOT_GRANTED PRIVILEGE_NOT_REVOKED STRING_DATA_RIGHT_TRUNCATION DEPRECATED_FEATURE NO_DATA NO_ADDITIONAL_DYNAMIC_RESULT_SETS_RETURNED SQL_STATEMENT_NOT_YET_COMPLETE CONNECTION_EXCEPTION CONNECTION_DOES_NOT_EXIST CONNECTION_FAILURE SQLCLIENT_UNABLE_TO_ESTABLISH_SQLCONNECTION SQLSERVER_REJECTED_ESTABLISHMENT_OF_SQLCONNECTION TRANSACTION_RESOLUTION_UN\
+KNOWN PROTOCOL_VIOLATION TRIGGERED_ACTION_EXCEPTION FEATURE_NOT_SUPPORTED INVALID_TRANSACTION_INITIATION LOCATOR_EXCEPTION INVALID_LOCATOR_SPECIFICATION INVALID_GRANTOR INVALID_GRANT_OPERATION INVALID_ROLE_SPECIFICATION DIAGNOSTICS_EXCEPTION STACKED_DIAGNOSTICS_ACCESSED_WITHOUT_ACTIVE_HANDLER CASE_NOT_FOUND CARDINALITY_VIOLATION DATA_EXCEPTION ARRAY_SUBSCRIPT_ERROR CHARACTER_NOT_IN_REPERTOIRE DATETIME_FIELD_OVERFLOW DIVISION_BY_ZERO ERROR_IN_ASSIGNMENT ESCAPE_CHARACTER_CONFLICT INDICATOR_OVERFLO\
+W INTERVAL_FIELD_OVERFLOW INVALID_ARGUMENT_FOR_LOGARITHM INVALID_ARGUMENT_FOR_NTILE_FUNCTION INVALID_ARGUMENT_FOR_NTH_VALUE_FUNCTION INVALID_ARGUMENT_FOR_POWER_FUNCTION INVALID_ARGUMENT_FOR_WIDTH_BUCKET_FUNCTION INVALID_CHARACTER_VALUE_FOR_CAST INVALID_DATETIME_FORMAT INVALID_ESCAPE_CHARACTER INVALID_ESCAPE_OCTET INVALID_ESCAPE_SEQUENCE NONSTANDARD_USE_OF_ESCAPE_CHARACTER INVALID_INDICATOR_PARAMETER_VALUE INVALID_PARAMETER_VALUE INVALID_REGULAR_EXPRESSION INVALID_ROW_COUNT_IN_LIMIT_CLAUSE INVALI\
+D_ROW_COUNT_IN_RESULT_OFFSET_CLAUSE INVALID_TABLESAMPLE_ARGUMENT INVALID_TABLESAMPLE_REPEAT INVALID_TIME_ZONE_DISPLACEMENT_VALUE INVALID_USE_OF_ESCAPE_CHARACTER MOST_SPECIFIC_TYPE_MISMATCH NULL_VALUE_NOT_ALLOWED NULL_VALUE_NO_INDICATOR_PARAMETER NUMERIC_VALUE_OUT_OF_RANGE SEQUENCE_GENERATOR_LIMIT_EXCEEDED STRING_DATA_LENGTH_MISMATCH STRING_DATA_RIGHT_TRUNCATION SUBSTRING_ERROR TRIM_ERROR UNTERMINATED_C_STRING ZERO_LENGTH_CHARACTER_STRING FLOATING_POINT_EXCEPTION INVALID_TEXT_REPRESENTATION INVAL\
+ID_BINARY_REPRESENTATION BAD_COPY_FILE_FORMAT UNTRANSLATABLE_CHARACTER NOT_AN_XML_DOCUMENT INVALID_XML_DOCUMENT INVALID_XML_CONTENT INVALID_XML_COMMENT INVALID_XML_PROCESSING_INSTRUCTION INTEGRITY_CONSTRAINT_VIOLATION RESTRICT_VIOLATION NOT_NULL_VIOLATION FOREIGN_KEY_VIOLATION UNIQUE_VIOLATION CHECK_VIOLATION EXCLUSION_VIOLATION INVALID_CURSOR_STATE INVALID_TRANSACTION_STATE ACTIVE_SQL_TRANSACTION BRANCH_TRANSACTION_ALREADY_ACTIVE HELD_CURSOR_REQUIRES_SAME_ISOLATION_LEVEL INAPPROPRIATE_ACCESS_MO\
+DE_FOR_BRANCH_TRANSACTION INAPPROPRIATE_ISOLATION_LEVEL_FOR_BRANCH_TRANSACTION NO_ACTIVE_SQL_TRANSACTION_FOR_BRANCH_TRANSACTION READ_ONLY_SQL_TRANSACTION SCHEMA_AND_DATA_STATEMENT_MIXING_NOT_SUPPORTED NO_ACTIVE_SQL_TRANSACTION IN_FAILED_SQL_TRANSACTION IDLE_IN_TRANSACTION_SESSION_TIMEOUT INVALID_SQL_STATEMENT_NAME TRIGGERED_DATA_CHANGE_VIOLATION INVALID_AUTHORIZATION_SPECIFICATION INVALID_PASSWORD DEPENDENT_PRIVILEGE_DESCRIPTORS_STILL_EXIST DEPENDENT_OBJECTS_STILL_EXIST INVALID_TRANSACTION_TERMI\
+NATION SQL_ROUTINE_EXCEPTION FUNCTION_EXECUTED_NO_RETURN_STATEMENT MODIFYING_SQL_DATA_NOT_PERMITTED PROHIBITED_SQL_STATEMENT_ATTEMPTED READING_SQL_DATA_NOT_PERMITTED INVALID_CURSOR_NAME EXTERNAL_ROUTINE_EXCEPTION CONTAINING_SQL_NOT_PERMITTED MODIFYING_SQL_DATA_NOT_PERMITTED PROHIBITED_SQL_STATEMENT_ATTEMPTED READING_SQL_DATA_NOT_PERMITTED EXTERNAL_ROUTINE_INVOCATION_EXCEPTION INVALID_SQLSTATE_RETURNED NULL_VALUE_NOT_ALLOWED TRIGGER_PROTOCOL_VIOLATED SRF_PROTOCOL_VIOLATED EVENT_TRIGGER_PROTOCOL_V\
+IOLATED SAVEPOINT_EXCEPTION INVALID_SAVEPOINT_SPECIFICATION INVALID_CATALOG_NAME INVALID_SCHEMA_NAME TRANSACTION_ROLLBACK TRANSACTION_INTEGRITY_CONSTRAINT_VIOLATION SERIALIZATION_FAILURE STATEMENT_COMPLETION_UNKNOWN DEADLOCK_DETECTED SYNTAX_ERROR_OR_ACCESS_RULE_VIOLATION SYNTAX_ERROR INSUFFICIENT_PRIVILEGE CANNOT_COERCE GROUPING_ERROR WINDOWING_ERROR INVALID_RECURSION INVALID_FOREIGN_KEY INVALID_NAME NAME_TOO_LONG RESERVED_NAME DATATYPE_MISMATCH INDETERMINATE_DATATYPE COLLATION_MISMATCH INDETERM\
+INATE_COLLATION WRONG_OBJECT_TYPE GENERATED_ALWAYS UNDEFINED_COLUMN UNDEFINED_FUNCTION UNDEFINED_TABLE UNDEFINED_PARAMETER UNDEFINED_OBJECT DUPLICATE_COLUMN DUPLICATE_CURSOR DUPLICATE_DATABASE DUPLICATE_FUNCTION DUPLICATE_PREPARED_STATEMENT DUPLICATE_SCHEMA DUPLICATE_TABLE DUPLICATE_ALIAS DUPLICATE_OBJECT AMBIGUOUS_COLUMN AMBIGUOUS_FUNCTION AMBIGUOUS_PARAMETER AMBIGUOUS_ALIAS INVALID_COLUMN_REFERENCE INVALID_COLUMN_DEFINITION INVALID_CURSOR_DEFINITION INVALID_DATABASE_DEFINITION INVALID_FUNCTION\
+_DEFINITION INVALID_PREPARED_STATEMENT_DEFINITION INVALID_SCHEMA_DEFINITION INVALID_TABLE_DEFINITION INVALID_OBJECT_DEFINITION WITH_CHECK_OPTION_VIOLATION INSUFFICIENT_RESOURCES DISK_FULL OUT_OF_MEMORY TOO_MANY_CONNECTIONS CONFIGURATION_LIMIT_EXCEEDED PROGRAM_LIMIT_EXCEEDED STATEMENT_TOO_COMPLEX TOO_MANY_COLUMNS TOO_MANY_ARGUMENTS OBJECT_NOT_IN_PREREQUISITE_STATE OBJECT_IN_USE CANT_CHANGE_RUNTIME_PARAM LOCK_NOT_AVAILABLE OPERATOR_INTERVENTION QUERY_CANCELED ADMIN_SHUTDOWN CRASH_SHUTDOWN CANNOT_C\
+ONNECT_NOW DATABASE_DROPPED SYSTEM_ERROR IO_ERROR UNDEFINED_FILE DUPLICATE_FILE SNAPSHOT_TOO_OLD CONFIG_FILE_ERROR LOCK_FILE_EXISTS FDW_ERROR FDW_COLUMN_NAME_NOT_FOUND FDW_DYNAMIC_PARAMETER_VALUE_NEEDED FDW_FUNCTION_SEQUENCE_ERROR FDW_INCONSISTENT_DESCRIPTOR_INFORMATION FDW_INVALID_ATTRIBUTE_VALUE FDW_INVALID_COLUMN_NAME FDW_INVALID_COLUMN_NUMBER FDW_INVALID_DATA_TYPE FDW_INVALID_DATA_TYPE_DESCRIPTORS FDW_INVALID_DESCRIPTOR_FIELD_IDENTIFIER FDW_INVALID_HANDLE FDW_INVALID_OPTION_INDEX FDW_INVALID\
+_OPTION_NAME FDW_INVALID_STRING_LENGTH_OR_BUFFER_LENGTH FDW_INVALID_STRING_FORMAT FDW_INVALID_USE_OF_NULL_POINTER FDW_TOO_MANY_HANDLES FDW_OUT_OF_MEMORY FDW_NO_SCHEMAS FDW_OPTION_NAME_NOT_FOUND FDW_REPLY_HANDLE FDW_SCHEMA_NOT_FOUND FDW_TABLE_NOT_FOUND FDW_UNABLE_TO_CREATE_EXECUTION FDW_UNABLE_TO_CREATE_REPLY FDW_UNABLE_TO_ESTABLISH_CONNECTION PLPGSQL_ERROR RAISE_EXCEPTION NO_DATA_FOUND TOO_MANY_ROWS ASSERT_FAILURE INTERNAL_ERROR DATA_CORRUPTED INDEX_CORRUPTED ",FUNCTIONS_RE="ARRAY_AGG AVG BIT_AN\
+D BIT_OR BOOL_AND BOOL_OR COUNT EVERY JSON_AGG JSONB_AGG JSON_OBJECT_AGG JSONB_OBJECT_AGG MAX MIN MODE STRING_AGG SUM XMLAGG CORR COVAR_POP COVAR_SAMP REGR_AVGX REGR_AVGY REGR_COUNT REGR_INTERCEPT REGR_R2 REGR_SLOPE REGR_SXX REGR_SXY REGR_SYY STDDEV STDDEV_POP STDDEV_SAMP VARIANCE VAR_POP VAR_SAMP PERCENTILE_CONT PERCENTILE_DISC ROW_NUMBER RANK DENSE_RANK PERCENT_RANK CUME_DIST NTILE LAG LEAD FIRST_VALUE LAST_VALUE NTH_VALUE NUM_NONNULLS NUM_NULLS ABS CBRT CEIL CEILING DEGREES DIV EXP FLOOR LN L\
+OG MOD PI POWER RADIANS ROUND SCALE SIGN SQRT TRUNC WIDTH_BUCKET RANDOM SETSEED ACOS ACOSD ASIN ASIND ATAN ATAND ATAN2 ATAN2D COS COSD COT COTD SIN SIND TAN TAND BIT_LENGTH CHAR_LENGTH CHARACTER_LENGTH LOWER OCTET_LENGTH OVERLAY POSITION SUBSTRING TREAT TRIM UPPER ASCII BTRIM CHR CONCAT CONCAT_WS CONVERT CONVERT_FROM CONVERT_TO DECODE ENCODE INITCAP LEFT LENGTH LPAD LTRIM MD5 PARSE_IDENT PG_CLIENT_ENCODING QUOTE_IDENT|10 QUOTE_LITERAL|10 QUOTE_NULLABLE|10 REGEXP_MATCH REGEXP_MATCHES REGEXP_REPLA\
+CE REGEXP_SPLIT_TO_ARRAY REGEXP_SPLIT_TO_TABLE REPEAT REPLACE REVERSE RIGHT RPAD RTRIM SPLIT_PART STRPOS SUBSTR TO_ASCII TO_HEX TRANSLATE OCTET_LENGTH GET_BIT GET_BYTE SET_BIT SET_BYTE TO_CHAR TO_DATE TO_NUMBER TO_TIMESTAMP AGE CLOCK_TIMESTAMP|10 DATE_PART DATE_TRUNC ISFINITE JUSTIFY_DAYS JUSTIFY_HOURS JUSTIFY_INTERVAL MAKE_DATE MAKE_INTERVAL|10 MAKE_TIME MAKE_TIMESTAMP|10 MAKE_TIMESTAMPTZ|10 NOW STATEMENT_TIMESTAMP|10 TIMEOFDAY TRANSACTION_TIMESTAMP|10 ENUM_FIRST ENUM_LAST ENUM_RANGE AREA CENTE\
+R DIAMETER HEIGHT ISCLOSED ISOPEN NPOINTS PCLOSE POPEN RADIUS WIDTH BOX BOUND_BOX CIRCLE LINE LSEG PATH POLYGON ABBREV BROADCAST HOST HOSTMASK MASKLEN NETMASK NETWORK SET_MASKLEN TEXT INET_SAME_FAMILY INET_MERGE MACADDR8_SET7BIT ARRAY_TO_TSVECTOR GET_CURRENT_TS_CONFIG NUMNODE PLAINTO_TSQUERY PHRASETO_TSQUERY WEBSEARCH_TO_TSQUERY QUERYTREE SETWEIGHT STRIP TO_TSQUERY TO_TSVECTOR JSON_TO_TSVECTOR JSONB_TO_TSVECTOR TS_DELETE TS_FILTER TS_HEADLINE TS_RANK TS_RANK_CD TS_REWRITE TSQUERY_PHRASE TSVECTOR\
+_TO_ARRAY TSVECTOR_UPDATE_TRIGGER TSVECTOR_UPDATE_TRIGGER_COLUMN XMLCOMMENT XMLCONCAT XMLELEMENT XMLFOREST XMLPI XMLROOT XMLEXISTS XML_IS_WELL_FORMED XML_IS_WELL_FORMED_DOCUMENT XML_IS_WELL_FORMED_CONTENT XPATH XPATH_EXISTS XMLTABLE XMLNAMESPACES TABLE_TO_XML TABLE_TO_XMLSCHEMA TABLE_TO_XML_AND_XMLSCHEMA QUERY_TO_XML QUERY_TO_XMLSCHEMA QUERY_TO_XML_AND_XMLSCHEMA CURSOR_TO_XML CURSOR_TO_XMLSCHEMA SCHEMA_TO_XML SCHEMA_TO_XMLSCHEMA SCHEMA_TO_XML_AND_XMLSCHEMA DATABASE_TO_XML DATABASE_TO_XMLSCHEMA D\
+ATABASE_TO_XML_AND_XMLSCHEMA XMLATTRIBUTES TO_JSON TO_JSONB ARRAY_TO_JSON ROW_TO_JSON JSON_BUILD_ARRAY JSONB_BUILD_ARRAY JSON_BUILD_OBJECT JSONB_BUILD_OBJECT JSON_OBJECT JSONB_OBJECT JSON_ARRAY_LENGTH JSONB_ARRAY_LENGTH JSON_EACH JSONB_EACH JSON_EACH_TEXT JSONB_EACH_TEXT JSON_EXTRACT_PATH JSONB_EXTRACT_PATH JSON_OBJECT_KEYS JSONB_OBJECT_KEYS JSON_POPULATE_RECORD JSONB_POPULATE_RECORD JSON_POPULATE_RECORDSET JSONB_POPULATE_RECORDSET JSON_ARRAY_ELEMENTS JSONB_ARRAY_ELEMENTS JSON_ARRAY_ELEMENTS_TEX\
+T JSONB_ARRAY_ELEMENTS_TEXT JSON_TYPEOF JSONB_TYPEOF JSON_TO_RECORD JSONB_TO_RECORD JSON_TO_RECORDSET JSONB_TO_RECORDSET JSON_STRIP_NULLS JSONB_STRIP_NULLS JSONB_SET JSONB_INSERT JSONB_PRETTY CURRVAL LASTVAL NEXTVAL SETVAL COALESCE NULLIF GREATEST LEAST ARRAY_APPEND ARRAY_CAT ARRAY_NDIMS ARRAY_DIMS ARRAY_FILL ARRAY_LENGTH ARRAY_LOWER ARRAY_POSITION ARRAY_POSITIONS ARRAY_PREPEND ARRAY_REMOVE ARRAY_REPLACE ARRAY_TO_STRING ARRAY_UPPER CARDINALITY STRING_TO_ARRAY UNNEST ISEMPTY LOWER_INC UPPER_INC L\
+OWER_INF UPPER_INF RANGE_MERGE GENERATE_SERIES GENERATE_SUBSCRIPTS CURRENT_DATABASE CURRENT_QUERY CURRENT_SCHEMA|10 CURRENT_SCHEMAS|10 INET_CLIENT_ADDR INET_CLIENT_PORT INET_SERVER_ADDR INET_SERVER_PORT ROW_SECURITY_ACTIVE FORMAT_TYPE TO_REGCLASS TO_REGPROC TO_REGPROCEDURE TO_REGOPER TO_REGOPERATOR TO_REGTYPE TO_REGNAMESPACE TO_REGROLE COL_DESCRIPTION OBJ_DESCRIPTION SHOBJ_DESCRIPTION TXID_CURRENT TXID_CURRENT_IF_ASSIGNED TXID_CURRENT_SNAPSHOT TXID_SNAPSHOT_XIP TXID_SNAPSHOT_XMAX TXID_SNAPSHOT_X\
+MIN TXID_VISIBLE_IN_SNAPSHOT TXID_STATUS CURRENT_SETTING SET_CONFIG BRIN_SUMMARIZE_NEW_VALUES BRIN_SUMMARIZE_RANGE BRIN_DESUMMARIZE_RANGE GIN_CLEAN_PENDING_LIST SUPPRESS_REDUNDANT_UPDATES_TRIGGER LO_FROM_BYTEA LO_PUT LO_GET LO_CREAT LO_CREATE LO_UNLINK LO_IMPORT LO_EXPORT LOREAD LOWRITE GROUPING CAST ".trim().split(" ").map(function(val){return val.split("|")[0]}).join("|");return{name:"PostgreSQL",aliases:["postgres","postgresql"],supersetOf:"sql",case_insensitive:!0,keywords:{keyword:SQL_KW+PLPGSQL_KW+
+ROLE_ATTRS,built_in:SQL_BI+PLPGSQL_BI+PLPGSQL_EXCEPTIONS},illegal:/:==|\W\s*\(\*|(^|\s)\$[a-z]|\{\{|[a-z]:\s*$|\.\.\.|TO:|DO:/,contains:[{className:"keyword",variants:[{begin:/\bTEXT\s*SEARCH\b/},{begin:/\b(PRIMARY|FOREIGN|FOR(\s+NO)?)\s+KEY\b/},{begin:/\bPARALLEL\s+(UNSAFE|RESTRICTED|SAFE)\b/},{begin:/\bSTORAGE\s+(PLAIN|EXTERNAL|EXTENDED|MAIN)\b/},{begin:/\bMATCH\s+(FULL|PARTIAL|SIMPLE)\b/},{begin:/\bNULLS\s+(FIRST|LAST)\b/},{begin:/\bEVENT\s+TRIGGER\b/},{begin:/\b(MAPPING|OR)\s+REPLACE\b/},{begin:/\b(FROM|TO)\s+(PROGRAM|STDIN|STDOUT)\b/},
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+{begin:/\bFORMAT\s+(TEXT|XML|JSON|YAML)\b/},{begin:/\bSET\s+((SESSION|LOCAL)\s+)?NAMES\b/},{begin:/\bIS\s+(NOT\s+)?UNKNOWN\b/},{begin:/\bSECURITY\s+LABEL\b/},{begin:/\bSTANDALONE\s+(YES|NO|NO\s+VALUE)\b/},{begin:/\bWITH\s+(NO\s+)?DATA\b/},{begin:/\b(FOREIGN|SET)\s+DATA\b/},{begin:/\bSET\s+(CATALOG|CONSTRAINTS)\b/},{begin:/\b(WITH|FOR)\s+ORDINALITY\b/},{begin:/\bIS\s+(NOT\s+)?DOCUMENT\b/},{begin:/\bXML\s+OPTION\s+(DOCUMENT|CONTENT)\b/},{begin:/\b(STRIP|PRESERVE)\s+WHITESPACE\b/},{begin:/\bNO\s+(ACTION|MAXVALUE|MINVALUE)\b/},
+{begin:/\bPARTITION\s+BY\s+(RANGE|LIST|HASH)\b/},{begin:/\bAT\s+TIME\s+ZONE\b/},{begin:/\bGRANTED\s+BY\b/},{begin:/\bRETURN\s+(QUERY|NEXT)\b/},{begin:/\b(ATTACH|DETACH)\s+PARTITION\b/},{begin:/\bFORCE\s+ROW\s+LEVEL\s+SECURITY\b/},{begin:/\b(INCLUDING|EXCLUDING)\s+(COMMENTS|CONSTRAINTS|DEFAULTS|IDENTITY|INDEXES|STATISTICS|STORAGE|ALL)\b/},{begin:/\bAS\s+(ASSIGNMENT|IMPLICIT|PERMISSIVE|RESTRICTIVE|ENUM|RANGE)\b/}]},{begin:/\b(FORMAT|FAMILY|VERSION)\s*\(/},{begin:/\bINCLUDE\s*\(/,keywords:"INCLUDE"},
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+{contains:[{match:/@[a-z]+/,scope:"doctag"},"self"]}),SUBST={scope:"subst",begin:/%\(/,end:/\)/,contains:[NUMBER,CLASS_REFERENCE,FUNCTION,FIELD,OPERATOR]},STRING={scope:"string",begin:/"/,end:/"/,contains:[SUBST,{scope:"char.escape",variants:[{match:/\\\\|\\["0%abefnrtv]/},{match:/\\x[0-9A-F]{2}/},{match:/\\u[0-9A-F]{4}/},{match:/\\U[0-9A-F]{8}/}]}]};SUBST.contains.push(STRING);const ALL_KWS=[...KEYWORDS2,...LANGUAGE_VARS,...LITERALS2],VARIABLE={relevance:0,match:regex.concat("\\b(?!",ALL_KWS.join(
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+FUNCTION,OPERATOR,FIELD,PROPERTY,VARIABLE]}}function x86asm(hljs){return{name:"Intel x86 Assembly",case_insensitive:!0,keywords:{$pattern:"[.%]?"+hljs.IDENT_RE,keyword:"lock rep repe repz repne repnz xaquire xrelease bnd nobnd aaa aad aam aas adc add and arpl bb0_reset bb1_reset bound bsf bsr bswap bt btc btr bts call cbw cdq cdqe clc cld cli clts cmc cmp cmpsb cmpsd cmpsq cmpsw cmpxchg cmpxchg486 cmpxchg8b cmpxchg16b cpuid cpu_read cpu_write cqo cwd cwde daa das dec div dmint emms enter equ f2x\
+m1 fabs fadd faddp fbld fbstp fchs fclex fcmovb fcmovbe fcmove fcmovnb fcmovnbe fcmovne fcmovnu fcmovu fcom fcomi fcomip fcomp fcompp fcos fdecstp fdisi fdiv fdivp fdivr fdivrp femms feni ffree ffreep fiadd ficom ficomp fidiv fidivr fild fimul fincstp finit fist fistp fisttp fisub fisubr fld fld1 fldcw fldenv fldl2e fldl2t fldlg2 fldln2 fldpi fldz fmul fmulp fnclex fndisi fneni fninit fnop fnsave fnstcw fnstenv fnstsw fpatan fprem fprem1 fptan frndint frstor fsave fscale fsetpm fsin fsincos fsqr\
+t fst fstcw fstenv fstp fstsw fsub fsubp fsubr fsubrp ftst fucom fucomi fucomip fucomp fucompp fxam fxch fxtract fyl2x fyl2xp1 hlt ibts icebp idiv imul in inc incbin insb insd insw int int01 int1 int03 int3 into invd invpcid invlpg invlpga iret iretd iretq iretw jcxz jecxz jrcxz jmp jmpe lahf lar lds lea leave les lfence lfs lgdt lgs lidt lldt lmsw loadall loadall286 lodsb lodsd lodsq lodsw loop loope loopne loopnz loopz lsl lss ltr mfence monitor mov movd movq movsb movsd movsq movsw movsx movs\
+xd movzx mul mwait neg nop not or out outsb outsd outsw packssdw packsswb packuswb paddb paddd paddsb paddsiw paddsw paddusb paddusw paddw pand pandn pause paveb pavgusb pcmpeqb pcmpeqd pcmpeqw pcmpgtb pcmpgtd pcmpgtw pdistib pf2id pfacc pfadd pfcmpeq pfcmpge pfcmpgt pfmax pfmin pfmul pfrcp pfrcpit1 pfrcpit2 pfrsqit1 pfrsqrt pfsub pfsubr pi2fd pmachriw pmaddwd pmagw pmulhriw pmulhrwa pmulhrwc pmulhw pmullw pmvgezb pmvlzb pmvnzb pmvzb pop popa popad popaw popf popfd popfq popfw por prefetch prefe\
+tchw pslld psllq psllw psrad psraw psrld psrlq psrlw psubb psubd psubsb psubsiw psubsw psubusb psubusw psubw punpckhbw punpckhdq punpckhwd punpcklbw punpckldq punpcklwd push pusha pushad pushaw pushf pushfd pushfq pushfw pxor rcl rcr rdshr rdmsr rdpmc rdtsc rdtscp ret retf retn rol ror rdm rsdc rsldt rsm rsts sahf sal salc sar sbb scasb scasd scasq scasw sfence sgdt shl shld shr shrd sidt sldt skinit smi smint smintold smsw stc std sti stosb stosd stosq stosw str sub svdc svldt svts swapgs sysca\
+ll sysenter sysexit sysret test ud0 ud1 ud2b ud2 ud2a umov verr verw fwait wbinvd wrshr wrmsr xadd xbts xchg xlatb xlat xor cmove cmovz cmovne cmovnz cmova cmovnbe cmovae cmovnb cmovb cmovnae cmovbe cmovna cmovg cmovnle cmovge cmovnl cmovl cmovnge cmovle cmovng cmovc cmovnc cmovo cmovno cmovs cmovns cmovp cmovpe cmovnp cmovpo je jz jne jnz ja jnbe jae jnb jb jnae jbe jna jg jnle jge jnl jl jnge jle jng jc jnc jo jno js jns jpo jnp jpe jp sete setz setne setnz seta setnbe setae setnb setnc setb s\
+etnae setcset setbe setna setg setnle setge setnl setl setnge setle setng sets setns seto setno setpe setp setpo setnp addps addss andnps andps cmpeqps cmpeqss cmpleps cmpless cmpltps cmpltss cmpneqps cmpneqss cmpnleps cmpnless cmpnltps cmpnltss cmpordps cmpordss cmpunordps cmpunordss cmpps cmpss comiss cvtpi2ps cvtps2pi cvtsi2ss cvtss2si cvttps2pi cvttss2si divps divss ldmxcsr maxps maxss minps minss movaps movhps movlhps movlps movhlps movmskps movntps movss movups mulps mulss orps rcpps rcpss\
+ rsqrtps rsqrtss shufps sqrtps sqrtss stmxcsr subps subss ucomiss unpckhps unpcklps xorps fxrstor fxrstor64 fxsave fxsave64 xgetbv xsetbv xsave xsave64 xsaveopt xsaveopt64 xrstor xrstor64 prefetchnta prefetcht0 prefetcht1 prefetcht2 maskmovq movntq pavgb pavgw pextrw pinsrw pmaxsw pmaxub pminsw pminub pmovmskb pmulhuw psadbw pshufw pf2iw pfnacc pfpnacc pi2fw pswapd maskmovdqu clflush movntdq movnti movntpd movdqa movdqu movdq2q movq2dq paddq pmuludq pshufd pshufhw pshuflw pslldq psrldq psubq pun\
+pckhqdq punpcklqdq addpd addsd andnpd andpd cmpeqpd cmpeqsd cmplepd cmplesd cmpltpd cmpltsd cmpneqpd cmpneqsd cmpnlepd cmpnlesd cmpnltpd cmpnltsd cmpordpd cmpordsd cmpunordpd cmpunordsd cmppd comisd cvtdq2pd cvtdq2ps cvtpd2dq cvtpd2pi cvtpd2ps cvtpi2pd cvtps2dq cvtps2pd cvtsd2si cvtsd2ss cvtsi2sd cvtss2sd cvttpd2pi cvttpd2dq cvttps2dq cvttsd2si divpd divsd maxpd maxsd minpd minsd movapd movhpd movlpd movmskpd movupd mulpd mulsd orpd shufpd sqrtpd sqrtsd subpd subsd ucomisd unpckhpd unpcklpd xorp\
+d addsubpd addsubps haddpd haddps hsubpd hsubps lddqu movddup movshdup movsldup clgi stgi vmcall vmclear vmfunc vmlaunch vmload vmmcall vmptrld vmptrst vmread vmresume vmrun vmsave vmwrite vmxoff vmxon invept invvpid pabsb pabsw pabsd palignr phaddw phaddd phaddsw phsubw phsubd phsubsw pmaddubsw pmulhrsw pshufb psignb psignw psignd extrq insertq movntsd movntss lzcnt blendpd blendps blendvpd blendvps dppd dpps extractps insertps movntdqa mpsadbw packusdw pblendvb pblendw pcmpeqq pextrb pextrd pe\
+xtrq phminposuw pinsrb pinsrd pinsrq pmaxsb pmaxsd pmaxud pmaxuw pminsb pminsd pminud pminuw pmovsxbw pmovsxbd pmovsxbq pmovsxwd pmovsxwq pmovsxdq pmovzxbw pmovzxbd pmovzxbq pmovzxwd pmovzxwq pmovzxdq pmuldq pmulld ptest roundpd roundps roundsd roundss crc32 pcmpestri pcmpestrm pcmpistri pcmpistrm pcmpgtq popcnt getsec pfrcpv pfrsqrtv movbe aesenc aesenclast aesdec aesdeclast aesimc aeskeygenassist vaesenc vaesenclast vaesdec vaesdeclast vaesimc vaeskeygenassist vaddpd vaddps vaddsd vaddss vadds\
+ubpd vaddsubps vandpd vandps vandnpd vandnps vblendpd vblendps vblendvpd vblendvps vbroadcastss vbroadcastsd vbroadcastf128 vcmpeq_ospd vcmpeqpd vcmplt_ospd vcmpltpd vcmple_ospd vcmplepd vcmpunord_qpd vcmpunordpd vcmpneq_uqpd vcmpneqpd vcmpnlt_uspd vcmpnltpd vcmpnle_uspd vcmpnlepd vcmpord_qpd vcmpordpd vcmpeq_uqpd vcmpnge_uspd vcmpngepd vcmpngt_uspd vcmpngtpd vcmpfalse_oqpd vcmpfalsepd vcmpneq_oqpd vcmpge_ospd vcmpgepd vcmpgt_ospd vcmpgtpd vcmptrue_uqpd vcmptruepd vcmplt_oqpd vcmple_oqpd vcmpuno\
+rd_spd vcmpneq_uspd vcmpnlt_uqpd vcmpnle_uqpd vcmpord_spd vcmpeq_uspd vcmpnge_uqpd vcmpngt_uqpd vcmpfalse_ospd vcmpneq_ospd vcmpge_oqpd vcmpgt_oqpd vcmptrue_uspd vcmppd vcmpeq_osps vcmpeqps vcmplt_osps vcmpltps vcmple_osps vcmpleps vcmpunord_qps vcmpunordps vcmpneq_uqps vcmpneqps vcmpnlt_usps vcmpnltps vcmpnle_usps vcmpnleps vcmpord_qps vcmpordps vcmpeq_uqps vcmpnge_usps vcmpngeps vcmpngt_usps vcmpngtps vcmpfalse_oqps vcmpfalseps vcmpneq_oqps vcmpge_osps vcmpgeps vcmpgt_osps vcmpgtps vcmptrue_uq\
+ps vcmptrueps vcmplt_oqps vcmple_oqps vcmpunord_sps vcmpneq_usps vcmpnlt_uqps vcmpnle_uqps vcmpord_sps vcmpeq_usps vcmpnge_uqps vcmpngt_uqps vcmpfalse_osps vcmpneq_osps vcmpge_oqps vcmpgt_oqps vcmptrue_usps vcmpps vcmpeq_ossd vcmpeqsd vcmplt_ossd vcmpltsd vcmple_ossd vcmplesd vcmpunord_qsd vcmpunordsd vcmpneq_uqsd vcmpneqsd vcmpnlt_ussd vcmpnltsd vcmpnle_ussd vcmpnlesd vcmpord_qsd vcmpordsd vcmpeq_uqsd vcmpnge_ussd vcmpngesd vcmpngt_ussd vcmpngtsd vcmpfalse_oqsd vcmpfalsesd vcmpneq_oqsd vcmpge_o\
+ssd vcmpgesd vcmpgt_ossd vcmpgtsd vcmptrue_uqsd vcmptruesd vcmplt_oqsd vcmple_oqsd vcmpunord_ssd vcmpneq_ussd vcmpnlt_uqsd vcmpnle_uqsd vcmpord_ssd vcmpeq_ussd vcmpnge_uqsd vcmpngt_uqsd vcmpfalse_ossd vcmpneq_ossd vcmpge_oqsd vcmpgt_oqsd vcmptrue_ussd vcmpsd vcmpeq_osss vcmpeqss vcmplt_osss vcmpltss vcmple_osss vcmpless vcmpunord_qss vcmpunordss vcmpneq_uqss vcmpneqss vcmpnlt_usss vcmpnltss vcmpnle_usss vcmpnless vcmpord_qss vcmpordss vcmpeq_uqss vcmpnge_usss vcmpngess vcmpngt_usss vcmpngtss vcm\
+pfalse_oqss vcmpfalsess vcmpneq_oqss vcmpge_osss vcmpgess vcmpgt_osss vcmpgtss vcmptrue_uqss vcmptruess vcmplt_oqss vcmple_oqss vcmpunord_sss vcmpneq_usss vcmpnlt_uqss vcmpnle_uqss vcmpord_sss vcmpeq_usss vcmpnge_uqss vcmpngt_uqss vcmpfalse_osss vcmpneq_osss vcmpge_oqss vcmpgt_oqss vcmptrue_usss vcmpss vcomisd vcomiss vcvtdq2pd vcvtdq2ps vcvtpd2dq vcvtpd2ps vcvtps2dq vcvtps2pd vcvtsd2si vcvtsd2ss vcvtsi2sd vcvtsi2ss vcvtss2sd vcvtss2si vcvttpd2dq vcvttps2dq vcvttsd2si vcvttss2si vdivpd vdivps vd\
+ivsd vdivss vdppd vdpps vextractf128 vextractps vhaddpd vhaddps vhsubpd vhsubps vinsertf128 vinsertps vlddqu vldqqu vldmxcsr vmaskmovdqu vmaskmovps vmaskmovpd vmaxpd vmaxps vmaxsd vmaxss vminpd vminps vminsd vminss vmovapd vmovaps vmovd vmovq vmovddup vmovdqa vmovqqa vmovdqu vmovqqu vmovhlps vmovhpd vmovhps vmovlhps vmovlpd vmovlps vmovmskpd vmovmskps vmovntdq vmovntqq vmovntdqa vmovntpd vmovntps vmovsd vmovshdup vmovsldup vmovss vmovupd vmovups vmpsadbw vmulpd vmulps vmulsd vmulss vorpd vorps v\
+pabsb vpabsw vpabsd vpacksswb vpackssdw vpackuswb vpackusdw vpaddb vpaddw vpaddd vpaddq vpaddsb vpaddsw vpaddusb vpaddusw vpalignr vpand vpandn vpavgb vpavgw vpblendvb vpblendw vpcmpestri vpcmpestrm vpcmpistri vpcmpistrm vpcmpeqb vpcmpeqw vpcmpeqd vpcmpeqq vpcmpgtb vpcmpgtw vpcmpgtd vpcmpgtq vpermilpd vpermilps vperm2f128 vpextrb vpextrw vpextrd vpextrq vphaddw vphaddd vphaddsw vphminposuw vphsubw vphsubd vphsubsw vpinsrb vpinsrw vpinsrd vpinsrq vpmaddwd vpmaddubsw vpmaxsb vpmaxsw vpmaxsd vpmaxu\
+b vpmaxuw vpmaxud vpminsb vpminsw vpminsd vpminub vpminuw vpminud vpmovmskb vpmovsxbw vpmovsxbd vpmovsxbq vpmovsxwd vpmovsxwq vpmovsxdq vpmovzxbw vpmovzxbd vpmovzxbq vpmovzxwd vpmovzxwq vpmovzxdq vpmulhuw vpmulhrsw vpmulhw vpmullw vpmulld vpmuludq vpmuldq vpor vpsadbw vpshufb vpshufd vpshufhw vpshuflw vpsignb vpsignw vpsignd vpslldq vpsrldq vpsllw vpslld vpsllq vpsraw vpsrad vpsrlw vpsrld vpsrlq vptest vpsubb vpsubw vpsubd vpsubq vpsubsb vpsubsw vpsubusb vpsubusw vpunpckhbw vpunpckhwd vpunpckhdq\
+ vpunpckhqdq vpunpcklbw vpunpcklwd vpunpckldq vpunpcklqdq vpxor vrcpps vrcpss vrsqrtps vrsqrtss vroundpd vroundps vroundsd vroundss vshufpd vshufps vsqrtpd vsqrtps vsqrtsd vsqrtss vstmxcsr vsubpd vsubps vsubsd vsubss vtestps vtestpd vucomisd vucomiss vunpckhpd vunpckhps vunpcklpd vunpcklps vxorpd vxorps vzeroall vzeroupper pclmullqlqdq pclmulhqlqdq pclmullqhqdq pclmulhqhqdq pclmulqdq vpclmullqlqdq vpclmulhqlqdq vpclmullqhqdq vpclmulhqhqdq vpclmulqdq vfmadd132ps vfmadd132pd vfmadd312ps vfmadd312p\
+d vfmadd213ps vfmadd213pd vfmadd123ps vfmadd123pd vfmadd231ps vfmadd231pd vfmadd321ps vfmadd321pd vfmaddsub132ps vfmaddsub132pd vfmaddsub312ps vfmaddsub312pd vfmaddsub213ps vfmaddsub213pd vfmaddsub123ps vfmaddsub123pd vfmaddsub231ps vfmaddsub231pd vfmaddsub321ps vfmaddsub321pd vfmsub132ps vfmsub132pd vfmsub312ps vfmsub312pd vfmsub213ps vfmsub213pd vfmsub123ps vfmsub123pd vfmsub231ps vfmsub231pd vfmsub321ps vfmsub321pd vfmsubadd132ps vfmsubadd132pd vfmsubadd312ps vfmsubadd312pd vfmsubadd213ps vfm\
+subadd213pd vfmsubadd123ps vfmsubadd123pd vfmsubadd231ps vfmsubadd231pd vfmsubadd321ps vfmsubadd321pd vfnmadd132ps vfnmadd132pd vfnmadd312ps vfnmadd312pd vfnmadd213ps vfnmadd213pd vfnmadd123ps vfnmadd123pd vfnmadd231ps vfnmadd231pd vfnmadd321ps vfnmadd321pd vfnmsub132ps vfnmsub132pd vfnmsub312ps vfnmsub312pd vfnmsub213ps vfnmsub213pd vfnmsub123ps vfnmsub123pd vfnmsub231ps vfnmsub231pd vfnmsub321ps vfnmsub321pd vfmadd132ss vfmadd132sd vfmadd312ss vfmadd312sd vfmadd213ss vfmadd213sd vfmadd123ss vf\
+madd123sd vfmadd231ss vfmadd231sd vfmadd321ss vfmadd321sd vfmsub132ss vfmsub132sd vfmsub312ss vfmsub312sd vfmsub213ss vfmsub213sd vfmsub123ss vfmsub123sd vfmsub231ss vfmsub231sd vfmsub321ss vfmsub321sd vfnmadd132ss vfnmadd132sd vfnmadd312ss vfnmadd312sd vfnmadd213ss vfnmadd213sd vfnmadd123ss vfnmadd123sd vfnmadd231ss vfnmadd231sd vfnmadd321ss vfnmadd321sd vfnmsub132ss vfnmsub132sd vfnmsub312ss vfnmsub312sd vfnmsub213ss vfnmsub213sd vfnmsub123ss vfnmsub123sd vfnmsub231ss vfnmsub231sd vfnmsub321ss\
+ vfnmsub321sd rdfsbase rdgsbase rdrand wrfsbase wrgsbase vcvtph2ps vcvtps2ph adcx adox rdseed clac stac xstore xcryptecb xcryptcbc xcryptctr xcryptcfb xcryptofb montmul xsha1 xsha256 llwpcb slwpcb lwpval lwpins vfmaddpd vfmaddps vfmaddsd vfmaddss vfmaddsubpd vfmaddsubps vfmsubaddpd vfmsubaddps vfmsubpd vfmsubps vfmsubsd vfmsubss vfnmaddpd vfnmaddps vfnmaddsd vfnmaddss vfnmsubpd vfnmsubps vfnmsubsd vfnmsubss vfrczpd vfrczps vfrczsd vfrczss vpcmov vpcomb vpcomd vpcomq vpcomub vpcomud vpcomuq vpcom\
+uw vpcomw vphaddbd vphaddbq vphaddbw vphadddq vphaddubd vphaddubq vphaddubw vphaddudq vphadduwd vphadduwq vphaddwd vphaddwq vphsubbw vphsubdq vphsubwd vpmacsdd vpmacsdqh vpmacsdql vpmacssdd vpmacssdqh vpmacssdql vpmacsswd vpmacssww vpmacswd vpmacsww vpmadcsswd vpmadcswd vpperm vprotb vprotd vprotq vprotw vpshab vpshad vpshaq vpshaw vpshlb vpshld vpshlq vpshlw vbroadcasti128 vpblendd vpbroadcastb vpbroadcastw vpbroadcastd vpbroadcastq vpermd vpermpd vpermps vpermq vperm2i128 vextracti128 vinserti\
+128 vpmaskmovd vpmaskmovq vpsllvd vpsllvq vpsravd vpsrlvd vpsrlvq vgatherdpd vgatherqpd vgatherdps vgatherqps vpgatherdd vpgatherqd vpgatherdq vpgatherqq xabort xbegin xend xtest andn bextr blci blcic blsi blsic blcfill blsfill blcmsk blsmsk blsr blcs bzhi mulx pdep pext rorx sarx shlx shrx tzcnt tzmsk t1mskc valignd valignq vblendmpd vblendmps vbroadcastf32x4 vbroadcastf64x4 vbroadcasti32x4 vbroadcasti64x4 vcompresspd vcompressps vcvtpd2udq vcvtps2udq vcvtsd2usi vcvtss2usi vcvttpd2udq vcvttps2u\
+dq vcvttsd2usi vcvttss2usi vcvtudq2pd vcvtudq2ps vcvtusi2sd vcvtusi2ss vexpandpd vexpandps vextractf32x4 vextractf64x4 vextracti32x4 vextracti64x4 vfixupimmpd vfixupimmps vfixupimmsd vfixupimmss vgetexppd vgetexpps vgetexpsd vgetexpss vgetmantpd vgetmantps vgetmantsd vgetmantss vinsertf32x4 vinsertf64x4 vinserti32x4 vinserti64x4 vmovdqa32 vmovdqa64 vmovdqu32 vmovdqu64 vpabsq vpandd vpandnd vpandnq vpandq vpblendmd vpblendmq vpcmpltd vpcmpled vpcmpneqd vpcmpnltd vpcmpnled vpcmpd vpcmpltq vpcmpleq\
+ vpcmpneqq vpcmpnltq vpcmpnleq vpcmpq vpcmpequd vpcmpltud vpcmpleud vpcmpnequd vpcmpnltud vpcmpnleud vpcmpud vpcmpequq vpcmpltuq vpcmpleuq vpcmpnequq vpcmpnltuq vpcmpnleuq vpcmpuq vpcompressd vpcompressq vpermi2d vpermi2pd vpermi2ps vpermi2q vpermt2d vpermt2pd vpermt2ps vpermt2q vpexpandd vpexpandq vpmaxsq vpmaxuq vpminsq vpminuq vpmovdb vpmovdw vpmovqb vpmovqd vpmovqw vpmovsdb vpmovsdw vpmovsqb vpmovsqd vpmovsqw vpmovusdb vpmovusdw vpmovusqb vpmovusqd vpmovusqw vpord vporq vprold vprolq vprolvd\
+ vprolvq vprord vprorq vprorvd vprorvq vpscatterdd vpscatterdq vpscatterqd vpscatterqq vpsraq vpsravq vpternlogd vpternlogq vptestmd vptestmq vptestnmd vptestnmq vpxord vpxorq vrcp14pd vrcp14ps vrcp14sd vrcp14ss vrndscalepd vrndscaleps vrndscalesd vrndscaless vrsqrt14pd vrsqrt14ps vrsqrt14sd vrsqrt14ss vscalefpd vscalefps vscalefsd vscalefss vscatterdpd vscatterdps vscatterqpd vscatterqps vshuff32x4 vshuff64x2 vshufi32x4 vshufi64x2 kandnw kandw kmovw knotw kortestw korw kshiftlw kshiftrw kunpckb\
+w kxnorw kxorw vpbroadcastmb2q vpbroadcastmw2d vpconflictd vpconflictq vplzcntd vplzcntq vexp2pd vexp2ps vrcp28pd vrcp28ps vrcp28sd vrcp28ss vrsqrt28pd vrsqrt28ps vrsqrt28sd vrsqrt28ss vgatherpf0dpd vgatherpf0dps vgatherpf0qpd vgatherpf0qps vgatherpf1dpd vgatherpf1dps vgatherpf1qpd vgatherpf1qps vscatterpf0dpd vscatterpf0dps vscatterpf0qpd vscatterpf0qps vscatterpf1dpd vscatterpf1dps vscatterpf1qpd vscatterpf1qps prefetchwt1 bndmk bndcl bndcu bndcn bndmov bndldx bndstx sha1rnds4 sha1nexte sha1ms\
+g1 sha1msg2 sha256rnds2 sha256msg1 sha256msg2 hint_nop0 hint_nop1 hint_nop2 hint_nop3 hint_nop4 hint_nop5 hint_nop6 hint_nop7 hint_nop8 hint_nop9 hint_nop10 hint_nop11 hint_nop12 hint_nop13 hint_nop14 hint_nop15 hint_nop16 hint_nop17 hint_nop18 hint_nop19 hint_nop20 hint_nop21 hint_nop22 hint_nop23 hint_nop24 hint_nop25 hint_nop26 hint_nop27 hint_nop28 hint_nop29 hint_nop30 hint_nop31 hint_nop32 hint_nop33 hint_nop34 hint_nop35 hint_nop36 hint_nop37 hint_nop38 hint_nop39 hint_nop40 hint_nop41 hi\
+nt_nop42 hint_nop43 hint_nop44 hint_nop45 hint_nop46 hint_nop47 hint_nop48 hint_nop49 hint_nop50 hint_nop51 hint_nop52 hint_nop53 hint_nop54 hint_nop55 hint_nop56 hint_nop57 hint_nop58 hint_nop59 hint_nop60 hint_nop61 hint_nop62 hint_nop63",built_in:"ip eip rip al ah bl bh cl ch dl dh sil dil bpl spl r8b r9b r10b r11b r12b r13b r14b r15b ax bx cx dx si di bp sp r8w r9w r10w r11w r12w r13w r14w r15w eax ebx ecx edx esi edi ebp esp eip r8d r9d r10d r11d r12d r13d r14d r15d rax rbx rcx rdx rsi rdi \
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+`:"",properties2={},language2=node2.lang?node2.lang.split(/\s+/):[];language2.length>0&&(properties2.className=["language-"+language2[0]]);let result={type:"element",tagName:"code",properties:properties2,children:[{type:"text",value}]};return node2.meta&&(result.data={meta:node2.meta}),state2.patch(node2,result),result=state2.applyData(node2,result),result={type:"element",tagName:"pre",properties:{},children:[result]},state2.patch(node2,result),result}function strikethrough(state2,node2){const result={
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+safeId=normalizeUri(id2.toLowerCase()),index2=state2.footnoteOrder.indexOf(id2);let counter,reuseCounter=state2.footnoteCounts.get(id2);reuseCounter===void 0?(reuseCounter=0,state2.footnoteOrder.push(id2),counter=state2.footnoteOrder.length):counter=index2+1,reuseCounter+=1,state2.footnoteCounts.set(id2,reuseCounter);const link2={type:"element",tagName:"a",properties:{href:"#"+clobberPrefix+"fn-"+safeId,id:clobberPrefix+"fnref-"+safeId+(reuseCounter>1?"-"+reuseCounter:""),dataFootnoteRef:!0,ariaDescribedBy:[
+"footnote-label"]},children:[{type:"text",value:String(counter)}]};state2.patch(node2,link2);const sup2={type:"element",tagName:"sup",properties:{},children:[link2]};return state2.patch(node2,sup2),state2.applyData(node2,sup2)}function heading(state2,node2){const result={type:"element",tagName:"h"+node2.depth,properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}function html$4(state2,node2){if(state2.options.allowDangerousHtml){const result={
+type:"raw",value:node2.value};return state2.patch(node2,result),state2.applyData(node2,result)}}function revert(state2,node2){const subtype=node2.referenceType;let suffix="]";if(subtype==="collapsed"?suffix+="[]":subtype==="full"&&(suffix+="["+(node2.label||node2.identifier)+"]"),node2.type==="imageReference")return[{type:"text",value:"!["+node2.alt+suffix}];const contents=state2.all(node2),head2=contents[0];head2&&head2.type==="text"?head2.value="["+head2.value:contents.unshift({type:"text",value:"\
+["});const tail=contents[contents.length-1];return tail&&tail.type==="text"?tail.value+=suffix:contents.push({type:"text",value:suffix}),contents}function imageReference(state2,node2){const id2=String(node2.identifier).toUpperCase(),definition2=state2.definitionById.get(id2);if(!definition2)return revert(state2,node2);const properties2={src:normalizeUri(definition2.url||""),alt:node2.alt};definition2.title!==null&&definition2.title!==void 0&&(properties2.title=definition2.title);const result={type:"\
+element",tagName:"img",properties:properties2,children:[]};return state2.patch(node2,result),state2.applyData(node2,result)}function image(state2,node2){const properties2={src:normalizeUri(node2.url)};node2.alt!==null&&node2.alt!==void 0&&(properties2.alt=node2.alt),node2.title!==null&&node2.title!==void 0&&(properties2.title=node2.title);const result={type:"element",tagName:"img",properties:properties2,children:[]};return state2.patch(node2,result),state2.applyData(node2,result)}function inlineCode(state2,node2){
+const text2={type:"text",value:node2.value.replace(/\r?\n|\r/g," ")};state2.patch(node2,text2);const result={type:"element",tagName:"code",properties:{},children:[text2]};return state2.patch(node2,result),state2.applyData(node2,result)}function linkReference(state2,node2){const id2=String(node2.identifier).toUpperCase(),definition2=state2.definitionById.get(id2);if(!definition2)return revert(state2,node2);const properties2={href:normalizeUri(definition2.url||"")};definition2.title!==null&&definition2.
+title!==void 0&&(properties2.title=definition2.title);const result={type:"element",tagName:"a",properties:properties2,children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}function link(state2,node2){const properties2={href:normalizeUri(node2.url)};node2.title!==null&&node2.title!==void 0&&(properties2.title=node2.title);const result={type:"element",tagName:"a",properties:properties2,children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(
+node2,result)}function listItem(state2,node2,parent){const results=state2.all(node2),loose=parent?listLoose(parent):listItemLoose(node2),properties2={},children=[];if(typeof node2.checked=="boolean"){const head2=results[0];let paragraph2;head2&&head2.type==="element"&&head2.tagName==="p"?paragraph2=head2:(paragraph2={type:"element",tagName:"p",properties:{},children:[]},results.unshift(paragraph2)),paragraph2.children.length>0&&paragraph2.children.unshift({type:"text",value:" "}),paragraph2.children.
+unshift({type:"element",tagName:"input",properties:{type:"checkbox",checked:node2.checked,disabled:!0},children:[]}),properties2.className=["task-list-item"]}let index2=-1;for(;++index2<results.length;){const child2=results[index2];(loose||index2!==0||child2.type!=="element"||child2.tagName!=="p")&&children.push({type:"text",value:`
+`}),child2.type==="element"&&child2.tagName==="p"&&!loose?children.push(...child2.children):children.push(child2)}const tail=results[results.length-1];tail&&(loose||tail.type!=="element"||tail.tagName!=="p")&&children.push({type:"text",value:`
+`});const result={type:"element",tagName:"li",properties:properties2,children};return state2.patch(node2,result),state2.applyData(node2,result)}function listLoose(node2){let loose=!1;if(node2.type==="list"){loose=node2.spread||!1;const children=node2.children;let index2=-1;for(;!loose&&++index2<children.length;)loose=listItemLoose(children[index2])}return loose}function listItemLoose(node2){const spread=node2.spread;return spread??node2.children.length>1}function list(state2,node2){const properties2={},
+results=state2.all(node2);let index2=-1;for(typeof node2.start=="number"&&node2.start!==1&&(properties2.start=node2.start);++index2<results.length;){const child2=results[index2];if(child2.type==="element"&&child2.tagName==="li"&&child2.properties&&Array.isArray(child2.properties.className)&&child2.properties.className.includes("task-list-item")){properties2.className=["contains-task-list"];break}}const result={type:"element",tagName:node2.ordered?"ol":"ul",properties:properties2,children:state2.
+wrap(results,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function paragraph(state2,node2){const result={type:"element",tagName:"p",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}function root$U(state2,node2){const result={type:"root",children:state2.wrap(state2.all(node2))};return state2.patch(node2,result),state2.applyData(node2,result)}function strong(state2,node2){const result={type:"element",tagName:"strong",
+properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}const pointEnd=point("end"),pointStart=point("start");function point(type2){return point2;function point2(node2){const point3=node2&&node2.position&&node2.position[type2]||{};if(typeof point3.line=="number"&&point3.line>0&&typeof point3.column=="number"&&point3.column>0)return{line:point3.line,column:point3.column,offset:typeof point3.offset=="number"&&point3.offset>-1?point3.offset:void 0}}}
+function position(node2){const start2=pointStart(node2),end=pointEnd(node2);if(start2&&end)return{start:start2,end}}function table(state2,node2){const rows=state2.all(node2),firstRow=rows.shift(),tableContent=[];if(firstRow){const head2={type:"element",tagName:"thead",properties:{},children:state2.wrap([firstRow],!0)};state2.patch(node2.children[0],head2),tableContent.push(head2)}if(rows.length>0){const body2={type:"element",tagName:"tbody",properties:{},children:state2.wrap(rows,!0)},start2=pointStart(
+node2.children[1]),end=pointEnd(node2.children[node2.children.length-1]);start2&&end&&(body2.position={start:start2,end}),tableContent.push(body2)}const result={type:"element",tagName:"table",properties:{},children:state2.wrap(tableContent,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function tableRow(state2,node2,parent){const siblings2=parent?parent.children:void 0,tagName=(siblings2?siblings2.indexOf(node2):1)===0?"th":"td",align=parent&&parent.type==="table"?parent.align:
+void 0,length=align?align.length:node2.children.length;let cellIndex=-1;const cells2=[];for(;++cellIndex<length;){const cell2=node2.children[cellIndex],properties2={},alignValue=align?align[cellIndex]:void 0;alignValue&&(properties2.align=alignValue);let result2={type:"element",tagName,properties:properties2,children:[]};cell2&&(result2.children=state2.all(cell2),state2.patch(cell2,result2),result2=state2.applyData(cell2,result2)),cells2.push(result2)}const result={type:"element",tagName:"tr",properties:{},
+children:state2.wrap(cells2,!0)};return state2.patch(node2,result),state2.applyData(node2,result)}function tableCell(state2,node2){const result={type:"element",tagName:"td",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}const tab=9,space=32;function trimLines(value){const source2=String(value),search2=/\r?\n|\r/g;let match=search2.exec(source2),last=0;const lines=[];for(;match;)lines.push(trimLine(source2.slice(last,match.index),last>0,
+!0),match[0]),last=match.index+match[0].length,match=search2.exec(source2);return lines.push(trimLine(source2.slice(last),last>0,!1)),lines.join("")}function trimLine(value,start2,end){let startIndex=0,endIndex=value.length;if(start2){let code2=value.codePointAt(startIndex);for(;code2===tab||code2===space;)startIndex++,code2=value.codePointAt(startIndex)}if(end){let code2=value.codePointAt(endIndex-1);for(;code2===tab||code2===space;)endIndex--,code2=value.codePointAt(endIndex-1)}return endIndex>
+startIndex?value.slice(startIndex,endIndex):""}function text$2(state2,node2){const result={type:"text",value:trimLines(String(node2.value))};return state2.patch(node2,result),state2.applyData(node2,result)}function thematicBreak(state2,node2){const result={type:"element",tagName:"hr",properties:{},children:[]};return state2.patch(node2,result),state2.applyData(node2,result)}const handlers={blockquote,break:hardBreak,code,delete:strikethrough,emphasis,footnoteReference,heading,html:html$4,imageReference,
+image,inlineCode,linkReference,link,listItem,list,paragraph,root:root$U,strong,table,tableCell,tableRow,text:text$2,thematicBreak,toml:ignore,yaml:ignore,definition:ignore,footnoteDefinition:ignore};function ignore(){}const VOID=-1,PRIMITIVE=0,ARRAY=1,OBJECT=2,DATE=3,REGEXP=4,MAP=5,SET=6,ERROR=7,BIGINT=8,env=typeof self=="object"?self:globalThis,deserializer=($,_)=>{const as=(out,index2)=>($.set(index2,out),out),unpair=index2=>{if($.has(index2))return $.get(index2);const[type2,value]=_[index2];switch(type2){case PRIMITIVE:case VOID:
+return as(value,index2);case ARRAY:{const arr=as([],index2);for(const index3 of value)arr.push(unpair(index3));return arr}case OBJECT:{const object2=as({},index2);for(const[key2,index3]of value)object2[unpair(key2)]=unpair(index3);return object2}case DATE:return as(new Date(value),index2);case REGEXP:{const{source:source2,flags:flags2}=value;return as(new RegExp(source2,flags2),index2)}case MAP:{const map2=as(new Map,index2);for(const[key2,index3]of value)map2.set(unpair(key2),unpair(index3));return map2}case SET:{
+const set2=as(new Set,index2);for(const index3 of value)set2.add(unpair(index3));return set2}case ERROR:{const{name,message}=value;return as(new env[name](message),index2)}case BIGINT:return as(BigInt(value),index2);case"BigInt":return as(Object(BigInt(value)),index2);case"ArrayBuffer":return as(new Uint8Array(value).buffer,value);case"DataView":{const{buffer}=new Uint8Array(value);return as(new DataView(buffer),value)}}return as(new env[type2](value),index2)};return unpair},deserialize=serialized=>deserializer(
+new Map,serialized)(0),EMPTY="",{toString}={},{keys}=Object,typeOf=value=>{const type2=typeof value;if(type2!=="object"||!value)return[PRIMITIVE,type2];const asString=toString.call(value).slice(8,-1);switch(asString){case"Array":return[ARRAY,EMPTY];case"Object":return[OBJECT,EMPTY];case"Date":return[DATE,EMPTY];case"RegExp":return[REGEXP,EMPTY];case"Map":return[MAP,EMPTY];case"Set":return[SET,EMPTY];case"DataView":return[ARRAY,asString]}return asString.includes("Array")?[ARRAY,asString]:asString.
+includes("Error")?[ERROR,asString]:[OBJECT,asString]},shouldSkip=([TYPE,type2])=>TYPE===PRIMITIVE&&(type2==="function"||type2==="symbol"),serializer=(strict,json2,$,_)=>{const as=(out,value)=>{const index2=_.push(out)-1;return $.set(value,index2),index2},pair=value=>{if($.has(value))return $.get(value);let[TYPE,type2]=typeOf(value);switch(TYPE){case PRIMITIVE:{let entry=value;switch(type2){case"bigint":TYPE=BIGINT,entry=value.toString();break;case"function":case"symbol":if(strict)throw new TypeError(
+"unable to serialize "+type2);entry=null;break;case"undefined":return as([VOID],value)}return as([TYPE,entry],value)}case ARRAY:{if(type2){let spread=value;return type2==="DataView"?spread=new Uint8Array(value.buffer):type2==="ArrayBuffer"&&(spread=new Uint8Array(value)),as([type2,[...spread]],value)}const arr=[],index2=as([TYPE,arr],value);for(const entry of value)arr.push(pair(entry));return index2}case OBJECT:{if(type2)switch(type2){case"BigInt":return as([type2,value.toString()],value);case"\
+Boolean":case"Number":case"String":return as([type2,value.valueOf()],value)}if(json2&&"toJSON"in value)return pair(value.toJSON());const entries=[],index2=as([TYPE,entries],value);for(const key2 of keys(value))(strict||!shouldSkip(typeOf(value[key2])))&&entries.push([pair(key2),pair(value[key2])]);return index2}case DATE:return as([TYPE,value.toISOString()],value);case REGEXP:{const{source:source2,flags:flags2}=value;return as([TYPE,{source:source2,flags:flags2}],value)}case MAP:{const entries=[],
+index2=as([TYPE,entries],value);for(const[key2,entry]of value)(strict||!(shouldSkip(typeOf(key2))||shouldSkip(typeOf(entry))))&&entries.push([pair(key2),pair(entry)]);return index2}case SET:{const entries=[],index2=as([TYPE,entries],value);for(const entry of value)(strict||!shouldSkip(typeOf(entry)))&&entries.push(pair(entry));return index2}}const{message}=value;return as([TYPE,{name:type2,message}],value)};return pair},serialize=(value,{json:json2,lossy}={})=>{const _=[];return serializer(!(json2||
+lossy),!!json2,new Map,_)(value),_},structuredClone$1=typeof structuredClone=="function"?(any2,options)=>options&&("json"in options||"lossy"in options)?deserialize(serialize(any2,options)):structuredClone(any2):(any2,options)=>deserialize(serialize(any2,options));function defaultFootnoteBackContent(_,rereferenceIndex){const result=[{type:"text",value:"↩"}];return rereferenceIndex>1&&result.push({type:"element",tagName:"sup",properties:{},children:[{type:"text",value:String(rereferenceIndex)}]}),
+result}function defaultFootnoteBackLabel(referenceIndex,rereferenceIndex){return"Back to reference "+(referenceIndex+1)+(rereferenceIndex>1?"-"+rereferenceIndex:"")}function footer(state2){const clobberPrefix=typeof state2.options.clobberPrefix=="string"?state2.options.clobberPrefix:"user-content-",footnoteBackContent=state2.options.footnoteBackContent||defaultFootnoteBackContent,footnoteBackLabel=state2.options.footnoteBackLabel||defaultFootnoteBackLabel,footnoteLabel=state2.options.footnoteLabel||
+"Footnotes",footnoteLabelTagName=state2.options.footnoteLabelTagName||"h2",footnoteLabelProperties=state2.options.footnoteLabelProperties||{className:["sr-only"]},listItems=[];let referenceIndex=-1;for(;++referenceIndex<state2.footnoteOrder.length;){const definition2=state2.footnoteById.get(state2.footnoteOrder[referenceIndex]);if(!definition2)continue;const content2=state2.all(definition2),id2=String(definition2.identifier).toUpperCase(),safeId=normalizeUri(id2.toLowerCase());let rereferenceIndex=0;
+const backReferences=[],counts=state2.footnoteCounts.get(id2);for(;counts!==void 0&&++rereferenceIndex<=counts;){backReferences.length>0&&backReferences.push({type:"text",value:" "});let children=typeof footnoteBackContent=="string"?footnoteBackContent:footnoteBackContent(referenceIndex,rereferenceIndex);typeof children=="string"&&(children={type:"text",value:children}),backReferences.push({type:"element",tagName:"a",properties:{href:"#"+clobberPrefix+"fnref-"+safeId+(rereferenceIndex>1?"-"+rereferenceIndex:
+""),dataFootnoteBackref:"",ariaLabel:typeof footnoteBackLabel=="string"?footnoteBackLabel:footnoteBackLabel(referenceIndex,rereferenceIndex),className:["data-footnote-backref"]},children:Array.isArray(children)?children:[children]})}const tail=content2[content2.length-1];if(tail&&tail.type==="element"&&tail.tagName==="p"){const tailTail=tail.children[tail.children.length-1];tailTail&&tailTail.type==="text"?tailTail.value+=" ":tail.children.push({type:"text",value:" "}),tail.children.push(...backReferences)}else
+content2.push(...backReferences);const listItem2={type:"element",tagName:"li",properties:{id:clobberPrefix+"fn-"+safeId},children:state2.wrap(content2,!0)};state2.patch(definition2,listItem2),listItems.push(listItem2)}if(listItems.length!==0)return{type:"element",tagName:"section",properties:{dataFootnotes:!0,className:["footnotes"]},children:[{type:"element",tagName:footnoteLabelTagName,properties:{...structuredClone$1(footnoteLabelProperties),id:"footnote-label"},children:[{type:"text",value:footnoteLabel}]},
+{type:"text",value:`
+`},{type:"element",tagName:"ol",properties:{},children:state2.wrap(listItems,!0)},{type:"text",value:`
+`}]}}const own$2={}.hasOwnProperty,emptyOptions$2={};function createState(tree,options){const settings=options||emptyOptions$2,definitionById=new Map,footnoteById=new Map,footnoteCounts=new Map,handlers$1={...handlers,...settings.handlers},state2={all:all2,applyData,definitionById,footnoteById,footnoteCounts,footnoteOrder:[],handlers:handlers$1,one:one2,options:settings,patch,wrap};return visit(tree,function(node2){if(node2.type==="definition"||node2.type==="footnoteDefinition"){const map2=node2.
+type==="definition"?definitionById:footnoteById,id2=String(node2.identifier).toUpperCase();map2.has(id2)||map2.set(id2,node2)}}),state2;function one2(node2,parent){const type2=node2.type,handle2=state2.handlers[type2];if(own$2.call(state2.handlers,type2)&&handle2)return handle2(state2,node2,parent);if(state2.options.passThrough&&state2.options.passThrough.includes(type2)){if("children"in node2){const{children,...shallow}=node2,result=structuredClone$1(shallow);return result.children=state2.all(node2),
+result}return structuredClone$1(node2)}return(state2.options.unknownHandler||defaultUnknownHandler)(state2,node2,parent)}function all2(parent){const values=[];if("children"in parent){const nodes2=parent.children;let index2=-1;for(;++index2<nodes2.length;){const result=state2.one(nodes2[index2],parent);if(result){if(index2&&nodes2[index2-1].type==="break"&&(!Array.isArray(result)&&result.type==="text"&&(result.value=trimMarkdownSpaceStart(result.value)),!Array.isArray(result)&&result.type==="elem\
+ent")){const head2=result.children[0];head2&&head2.type==="text"&&(head2.value=trimMarkdownSpaceStart(head2.value))}Array.isArray(result)?values.push(...result):values.push(result)}}}return values}}function patch(from,to){from.position&&(to.position=position(from))}function applyData(from,to){let result=to;if(from&&from.data){const hName=from.data.hName,hChildren=from.data.hChildren,hProperties=from.data.hProperties;if(typeof hName=="string")if(result.type==="element")result.tagName=hName;else{const children="\
+children"in result?result.children:[result];result={type:"element",tagName:hName,properties:{},children}}result.type==="element"&&hProperties&&Object.assign(result.properties,structuredClone$1(hProperties)),"children"in result&&result.children&&hChildren!==null&&hChildren!==void 0&&(result.children=hChildren)}return result}function defaultUnknownHandler(state2,node2){const data=node2.data||{},result="value"in node2&&!(own$2.call(data,"hProperties")||own$2.call(data,"hChildren"))?{type:"text",value:node2.
+value}:{type:"element",tagName:"div",properties:{},children:state2.all(node2)};return state2.patch(node2,result),state2.applyData(node2,result)}function wrap(nodes2,loose){const result=[];let index2=-1;for(loose&&result.push({type:"text",value:`
+`});++index2<nodes2.length;)index2&&result.push({type:"text",value:`
+`}),result.push(nodes2[index2]);return loose&&nodes2.length>0&&result.push({type:"text",value:`
+`}),result}function trimMarkdownSpaceStart(value){let index2=0,code2=value.charCodeAt(index2);for(;code2===9||code2===32;)index2++,code2=value.charCodeAt(index2);return value.slice(index2)}function toHast(tree,options){const state2=createState(tree,options),node2=state2.one(tree,void 0),foot=footer(state2),result=Array.isArray(node2)?{type:"root",children:node2}:node2||{type:"root",children:[]};return foot&&result.children.push({type:"text",value:`
+`},foot),result}function remarkRehype(destination,options){return destination&&"run"in destination?async function(tree,file){const hastTree=toHast(tree,{file,...options});await destination.run(hastTree,file)}:function(tree,file){return toHast(tree,{file,...destination||options})}}class Schema{constructor(property,normal,space2){this.normal=normal,this.property=property,space2&&(this.space=space2)}}Schema.prototype.normal={};Schema.prototype.property={};Schema.prototype.space=void 0;function merge(definitions2,space2){
+const property={},normal={};for(const definition2 of definitions2)Object.assign(property,definition2.property),Object.assign(normal,definition2.normal);return new Schema(property,normal,space2)}function normalize(value){return value.toLowerCase()}class Info{constructor(property,attribute){this.attribute=attribute,this.property=property}}Info.prototype.attribute="";Info.prototype.booleanish=!1;Info.prototype.boolean=!1;Info.prototype.commaOrSpaceSeparated=!1;Info.prototype.commaSeparated=!1;Info.
+prototype.defined=!1;Info.prototype.mustUseProperty=!1;Info.prototype.number=!1;Info.prototype.overloadedBoolean=!1;Info.prototype.property="";Info.prototype.spaceSeparated=!1;Info.prototype.space=void 0;let powers=0;const boolean=increment(),booleanish=increment(),overloadedBoolean=increment(),number=increment(),spaceSeparated=increment(),commaSeparated=increment(),commaOrSpaceSeparated=increment();function increment(){return 2**++powers}const types=Object.freeze(Object.defineProperty({__proto__:null,
+boolean,booleanish,commaOrSpaceSeparated,commaSeparated,number,overloadedBoolean,spaceSeparated},Symbol.toStringTag,{value:"Module"})),checks=Object.keys(types);class DefinedInfo extends Info{constructor(property,attribute,mask,space2){let index2=-1;if(super(property,attribute),mark(this,"space",space2),typeof mask=="number")for(;++index2<checks.length;){const check=checks[index2];mark(this,checks[index2],(mask&types[check])===types[check])}}}DefinedInfo.prototype.defined=!0;function mark(values,key2,value){
+value&&(values[key2]=value)}function create(definition2){const properties2={},normals={};for(const[property,value]of Object.entries(definition2.properties)){const info2=new DefinedInfo(property,definition2.transform(definition2.attributes||{},property),value,definition2.space);definition2.mustUseProperty&&definition2.mustUseProperty.includes(property)&&(info2.mustUseProperty=!0),properties2[property]=info2,normals[normalize(property)]=property,normals[normalize(info2.attribute)]=property}return new Schema(
+properties2,normals,definition2.space)}const aria=create({properties:{ariaActiveDescendant:null,ariaAtomic:booleanish,ariaAutoComplete:null,ariaBusy:booleanish,ariaChecked:booleanish,ariaColCount:number,ariaColIndex:number,ariaColSpan:number,ariaControls:spaceSeparated,ariaCurrent:null,ariaDescribedBy:spaceSeparated,ariaDetails:null,ariaDisabled:booleanish,ariaDropEffect:spaceSeparated,ariaErrorMessage:null,ariaExpanded:booleanish,ariaFlowTo:spaceSeparated,ariaGrabbed:booleanish,ariaHasPopup:null,
+ariaHidden:booleanish,ariaInvalid:null,ariaKeyShortcuts:null,ariaLabel:null,ariaLabelledBy:spaceSeparated,ariaLevel:number,ariaLive:null,ariaModal:booleanish,ariaMultiLine:booleanish,ariaMultiSelectable:booleanish,ariaOrientation:null,ariaOwns:spaceSeparated,ariaPlaceholder:null,ariaPosInSet:number,ariaPressed:booleanish,ariaReadOnly:booleanish,ariaRelevant:null,ariaRequired:booleanish,ariaRoleDescription:spaceSeparated,ariaRowCount:number,ariaRowIndex:number,ariaRowSpan:number,ariaSelected:booleanish,
+ariaSetSize:number,ariaSort:null,ariaValueMax:number,ariaValueMin:number,ariaValueNow:number,ariaValueText:null,role:null},transform(_,property){return property==="role"?property:"aria-"+property.slice(4).toLowerCase()}});function caseSensitiveTransform(attributes,attribute){return attribute in attributes?attributes[attribute]:attribute}function caseInsensitiveTransform(attributes,property){return caseSensitiveTransform(attributes,property.toLowerCase())}const html$3=create({attributes:{acceptcharset:"\
+accept-charset",classname:"class",htmlfor:"for",httpequiv:"http-equiv"},mustUseProperty:["checked","multiple","muted","selected"],properties:{abbr:null,accept:commaSeparated,acceptCharset:spaceSeparated,accessKey:spaceSeparated,action:null,allow:null,allowFullScreen:boolean,allowPaymentRequest:boolean,allowUserMedia:boolean,alt:null,as:null,async:boolean,autoCapitalize:null,autoComplete:spaceSeparated,autoFocus:boolean,autoPlay:boolean,blocking:spaceSeparated,capture:null,charSet:null,checked:boolean,
+cite:null,className:spaceSeparated,cols:number,colSpan:null,content:null,contentEditable:booleanish,controls:boolean,controlsList:spaceSeparated,coords:number|commaSeparated,crossOrigin:null,data:null,dateTime:null,decoding:null,default:boolean,defer:boolean,dir:null,dirName:null,disabled:boolean,download:overloadedBoolean,draggable:booleanish,encType:null,enterKeyHint:null,fetchPriority:null,form:null,formAction:null,formEncType:null,formMethod:null,formNoValidate:boolean,formTarget:null,headers:spaceSeparated,
+height:number,hidden:overloadedBoolean,high:number,href:null,hrefLang:null,htmlFor:spaceSeparated,httpEquiv:spaceSeparated,id:null,imageSizes:null,imageSrcSet:null,inert:boolean,inputMode:null,integrity:null,is:null,isMap:boolean,itemId:null,itemProp:spaceSeparated,itemRef:spaceSeparated,itemScope:boolean,itemType:spaceSeparated,kind:null,label:null,lang:null,language:null,list:null,loading:null,loop:boolean,low:number,manifest:null,max:null,maxLength:number,media:null,method:null,min:null,minLength:number,
+multiple:boolean,muted:boolean,name:null,nonce:null,noModule:boolean,noValidate:boolean,onAbort:null,onAfterPrint:null,onAuxClick:null,onBeforeMatch:null,onBeforePrint:null,onBeforeToggle:null,onBeforeUnload:null,onBlur:null,onCancel:null,onCanPlay:null,onCanPlayThrough:null,onChange:null,onClick:null,onClose:null,onContextLost:null,onContextMenu:null,onContextRestored:null,onCopy:null,onCueChange:null,onCut:null,onDblClick:null,onDrag:null,onDragEnd:null,onDragEnter:null,onDragExit:null,onDragLeave:null,
+onDragOver:null,onDragStart:null,onDrop:null,onDurationChange:null,onEmptied:null,onEnded:null,onError:null,onFocus:null,onFormData:null,onHashChange:null,onInput:null,onInvalid:null,onKeyDown:null,onKeyPress:null,onKeyUp:null,onLanguageChange:null,onLoad:null,onLoadedData:null,onLoadedMetadata:null,onLoadEnd:null,onLoadStart:null,onMessage:null,onMessageError:null,onMouseDown:null,onMouseEnter:null,onMouseLeave:null,onMouseMove:null,onMouseOut:null,onMouseOver:null,onMouseUp:null,onOffline:null,
+onOnline:null,onPageHide:null,onPageShow:null,onPaste:null,onPause:null,onPlay:null,onPlaying:null,onPopState:null,onProgress:null,onRateChange:null,onRejectionHandled:null,onReset:null,onResize:null,onScroll:null,onScrollEnd:null,onSecurityPolicyViolation:null,onSeeked:null,onSeeking:null,onSelect:null,onSlotChange:null,onStalled:null,onStorage:null,onSubmit:null,onSuspend:null,onTimeUpdate:null,onToggle:null,onUnhandledRejection:null,onUnload:null,onVolumeChange:null,onWaiting:null,onWheel:null,
+open:boolean,optimum:number,pattern:null,ping:spaceSeparated,placeholder:null,playsInline:boolean,popover:null,popoverTarget:null,popoverTargetAction:null,poster:null,preload:null,readOnly:boolean,referrerPolicy:null,rel:spaceSeparated,required:boolean,reversed:boolean,rows:number,rowSpan:number,sandbox:spaceSeparated,scope:null,scoped:boolean,seamless:boolean,selected:boolean,shadowRootClonable:boolean,shadowRootDelegatesFocus:boolean,shadowRootMode:null,shape:null,size:number,sizes:null,slot:null,
+span:number,spellCheck:booleanish,src:null,srcDoc:null,srcLang:null,srcSet:null,start:number,step:null,style:null,tabIndex:number,target:null,title:null,translate:null,type:null,typeMustMatch:boolean,useMap:null,value:booleanish,width:number,wrap:null,writingSuggestions:null,align:null,aLink:null,archive:spaceSeparated,axis:null,background:null,bgColor:null,border:number,borderColor:null,bottomMargin:number,cellPadding:null,cellSpacing:null,char:null,charOff:null,classId:null,clear:null,code:null,
+codeBase:null,codeType:null,color:null,compact:boolean,declare:boolean,event:null,face:null,frame:null,frameBorder:null,hSpace:number,leftMargin:number,link:null,longDesc:null,lowSrc:null,marginHeight:number,marginWidth:number,noResize:boolean,noHref:boolean,noShade:boolean,noWrap:boolean,object:null,profile:null,prompt:null,rev:null,rightMargin:number,rules:null,scheme:null,scrolling:booleanish,standby:null,summary:null,text:null,topMargin:number,valueType:null,version:null,vAlign:null,vLink:null,
+vSpace:number,allowTransparency:null,autoCorrect:null,autoSave:null,disablePictureInPicture:boolean,disableRemotePlayback:boolean,prefix:null,property:null,results:number,security:null,unselectable:null},space:"html",transform:caseInsensitiveTransform}),svg$1=create({attributes:{accentHeight:"accent-height",alignmentBaseline:"alignment-baseline",arabicForm:"arabic-form",baselineShift:"baseline-shift",capHeight:"cap-height",className:"class",clipPath:"clip-path",clipRule:"clip-rule",colorInterpolation:"\
+color-interpolation",colorInterpolationFilters:"color-interpolation-filters",colorProfile:"color-profile",colorRendering:"color-rendering",crossOrigin:"crossorigin",dataType:"datatype",dominantBaseline:"dominant-baseline",enableBackground:"enable-background",fillOpacity:"fill-opacity",fillRule:"fill-rule",floodColor:"flood-color",floodOpacity:"flood-opacity",fontFamily:"font-family",fontSize:"font-size",fontSizeAdjust:"font-size-adjust",fontStretch:"font-stretch",fontStyle:"font-style",fontVariant:"\
+font-variant",fontWeight:"font-weight",glyphName:"glyph-name",glyphOrientationHorizontal:"glyph-orientation-horizontal",glyphOrientationVertical:"glyph-orientation-vertical",hrefLang:"hreflang",horizAdvX:"horiz-adv-x",horizOriginX:"horiz-origin-x",horizOriginY:"horiz-origin-y",imageRendering:"image-rendering",letterSpacing:"letter-spacing",lightingColor:"lighting-color",markerEnd:"marker-end",markerMid:"marker-mid",markerStart:"marker-start",navDown:"nav-down",navDownLeft:"nav-down-left",navDownRight:"\
+nav-down-right",navLeft:"nav-left",navNext:"nav-next",navPrev:"nav-prev",navRight:"nav-right",navUp:"nav-up",navUpLeft:"nav-up-left",navUpRight:"nav-up-right",onAbort:"onabort",onActivate:"onactivate",onAfterPrint:"onafterprint",onBeforePrint:"onbeforeprint",onBegin:"onbegin",onCancel:"oncancel",onCanPlay:"oncanplay",onCanPlayThrough:"oncanplaythrough",onChange:"onchange",onClick:"onclick",onClose:"onclose",onCopy:"oncopy",onCueChange:"oncuechange",onCut:"oncut",onDblClick:"ondblclick",onDrag:"o\
+ndrag",onDragEnd:"ondragend",onDragEnter:"ondragenter",onDragExit:"ondragexit",onDragLeave:"ondragleave",onDragOver:"ondragover",onDragStart:"ondragstart",onDrop:"ondrop",onDurationChange:"ondurationchange",onEmptied:"onemptied",onEnd:"onend",onEnded:"onended",onError:"onerror",onFocus:"onfocus",onFocusIn:"onfocusin",onFocusOut:"onfocusout",onHashChange:"onhashchange",onInput:"oninput",onInvalid:"oninvalid",onKeyDown:"onkeydown",onKeyPress:"onkeypress",onKeyUp:"onkeyup",onLoad:"onload",onLoadedData:"\
+onloadeddata",onLoadedMetadata:"onloadedmetadata",onLoadStart:"onloadstart",onMessage:"onmessage",onMouseDown:"onmousedown",onMouseEnter:"onmouseenter",onMouseLeave:"onmouseleave",onMouseMove:"onmousemove",onMouseOut:"onmouseout",onMouseOver:"onmouseover",onMouseUp:"onmouseup",onMouseWheel:"onmousewheel",onOffline:"onoffline",onOnline:"ononline",onPageHide:"onpagehide",onPageShow:"onpageshow",onPaste:"onpaste",onPause:"onpause",onPlay:"onplay",onPlaying:"onplaying",onPopState:"onpopstate",onProgress:"\
+onprogress",onRateChange:"onratechange",onRepeat:"onrepeat",onReset:"onreset",onResize:"onresize",onScroll:"onscroll",onSeeked:"onseeked",onSeeking:"onseeking",onSelect:"onselect",onShow:"onshow",onStalled:"onstalled",onStorage:"onstorage",onSubmit:"onsubmit",onSuspend:"onsuspend",onTimeUpdate:"ontimeupdate",onToggle:"ontoggle",onUnload:"onunload",onVolumeChange:"onvolumechange",onWaiting:"onwaiting",onZoom:"onzoom",overlinePosition:"overline-position",overlineThickness:"overline-thickness",paintOrder:"\
+paint-order",panose1:"panose-1",pointerEvents:"pointer-events",referrerPolicy:"referrerpolicy",renderingIntent:"rendering-intent",shapeRendering:"shape-rendering",stopColor:"stop-color",stopOpacity:"stop-opacity",strikethroughPosition:"strikethrough-position",strikethroughThickness:"strikethrough-thickness",strokeDashArray:"stroke-dasharray",strokeDashOffset:"stroke-dashoffset",strokeLineCap:"stroke-linecap",strokeLineJoin:"stroke-linejoin",strokeMiterLimit:"stroke-miterlimit",strokeOpacity:"str\
+oke-opacity",strokeWidth:"stroke-width",tabIndex:"tabindex",textAnchor:"text-anchor",textDecoration:"text-decoration",textRendering:"text-rendering",transformOrigin:"transform-origin",typeOf:"typeof",underlinePosition:"underline-position",underlineThickness:"underline-thickness",unicodeBidi:"unicode-bidi",unicodeRange:"unicode-range",unitsPerEm:"units-per-em",vAlphabetic:"v-alphabetic",vHanging:"v-hanging",vIdeographic:"v-ideographic",vMathematical:"v-mathematical",vectorEffect:"vector-effect",vertAdvY:"\
+vert-adv-y",vertOriginX:"vert-origin-x",vertOriginY:"vert-origin-y",wordSpacing:"word-spacing",writingMode:"writing-mode",xHeight:"x-height",playbackOrder:"playbackorder",timelineBegin:"timelinebegin"},properties:{about:commaOrSpaceSeparated,accentHeight:number,accumulate:null,additive:null,alignmentBaseline:null,alphabetic:number,amplitude:number,arabicForm:null,ascent:number,attributeName:null,attributeType:null,azimuth:number,bandwidth:null,baselineShift:null,baseFrequency:null,baseProfile:null,
+bbox:null,begin:null,bias:number,by:null,calcMode:null,capHeight:number,className:spaceSeparated,clip:null,clipPath:null,clipPathUnits:null,clipRule:null,color:null,colorInterpolation:null,colorInterpolationFilters:null,colorProfile:null,colorRendering:null,content:null,contentScriptType:null,contentStyleType:null,crossOrigin:null,cursor:null,cx:null,cy:null,d:null,dataType:null,defaultAction:null,descent:number,diffuseConstant:number,direction:null,display:null,dur:null,divisor:number,dominantBaseline:null,
+download:boolean,dx:null,dy:null,edgeMode:null,editable:null,elevation:number,enableBackground:null,end:null,event:null,exponent:number,externalResourcesRequired:null,fill:null,fillOpacity:number,fillRule:null,filter:null,filterRes:null,filterUnits:null,floodColor:null,floodOpacity:null,focusable:null,focusHighlight:null,fontFamily:null,fontSize:null,fontSizeAdjust:null,fontStretch:null,fontStyle:null,fontVariant:null,fontWeight:null,format:null,fr:null,from:null,fx:null,fy:null,g1:commaSeparated,
+g2:commaSeparated,glyphName:commaSeparated,glyphOrientationHorizontal:null,glyphOrientationVertical:null,glyphRef:null,gradientTransform:null,gradientUnits:null,handler:null,hanging:number,hatchContentUnits:null,hatchUnits:null,height:null,href:null,hrefLang:null,horizAdvX:number,horizOriginX:number,horizOriginY:number,id:null,ideographic:number,imageRendering:null,initialVisibility:null,in:null,in2:null,intercept:number,k:number,k1:number,k2:number,k3:number,k4:number,kernelMatrix:commaOrSpaceSeparated,
+kernelUnitLength:null,keyPoints:null,keySplines:null,keyTimes:null,kerning:null,lang:null,lengthAdjust:null,letterSpacing:null,lightingColor:null,limitingConeAngle:number,local:null,markerEnd:null,markerMid:null,markerStart:null,markerHeight:null,markerUnits:null,markerWidth:null,mask:null,maskContentUnits:null,maskUnits:null,mathematical:null,max:null,media:null,mediaCharacterEncoding:null,mediaContentEncodings:null,mediaSize:number,mediaTime:null,method:null,min:null,mode:null,name:null,navDown:null,
+navDownLeft:null,navDownRight:null,navLeft:null,navNext:null,navPrev:null,navRight:null,navUp:null,navUpLeft:null,navUpRight:null,numOctaves:null,observer:null,offset:null,onAbort:null,onActivate:null,onAfterPrint:null,onBeforePrint:null,onBegin:null,onCancel:null,onCanPlay:null,onCanPlayThrough:null,onChange:null,onClick:null,onClose:null,onCopy:null,onCueChange:null,onCut:null,onDblClick:null,onDrag:null,onDragEnd:null,onDragEnter:null,onDragExit:null,onDragLeave:null,onDragOver:null,onDragStart:null,
+onDrop:null,onDurationChange:null,onEmptied:null,onEnd:null,onEnded:null,onError:null,onFocus:null,onFocusIn:null,onFocusOut:null,onHashChange:null,onInput:null,onInvalid:null,onKeyDown:null,onKeyPress:null,onKeyUp:null,onLoad:null,onLoadedData:null,onLoadedMetadata:null,onLoadStart:null,onMessage:null,onMouseDown:null,onMouseEnter:null,onMouseLeave:null,onMouseMove:null,onMouseOut:null,onMouseOver:null,onMouseUp:null,onMouseWheel:null,onOffline:null,onOnline:null,onPageHide:null,onPageShow:null,
+onPaste:null,onPause:null,onPlay:null,onPlaying:null,onPopState:null,onProgress:null,onRateChange:null,onRepeat:null,onReset:null,onResize:null,onScroll:null,onSeeked:null,onSeeking:null,onSelect:null,onShow:null,onStalled:null,onStorage:null,onSubmit:null,onSuspend:null,onTimeUpdate:null,onToggle:null,onUnload:null,onVolumeChange:null,onWaiting:null,onZoom:null,opacity:null,operator:null,order:null,orient:null,orientation:null,origin:null,overflow:null,overlay:null,overlinePosition:number,overlineThickness:number,
+paintOrder:null,panose1:null,path:null,pathLength:number,patternContentUnits:null,patternTransform:null,patternUnits:null,phase:null,ping:spaceSeparated,pitch:null,playbackOrder:null,pointerEvents:null,points:null,pointsAtX:number,pointsAtY:number,pointsAtZ:number,preserveAlpha:null,preserveAspectRatio:null,primitiveUnits:null,propagate:null,property:commaOrSpaceSeparated,r:null,radius:null,referrerPolicy:null,refX:null,refY:null,rel:commaOrSpaceSeparated,rev:commaOrSpaceSeparated,renderingIntent:null,
+repeatCount:null,repeatDur:null,requiredExtensions:commaOrSpaceSeparated,requiredFeatures:commaOrSpaceSeparated,requiredFonts:commaOrSpaceSeparated,requiredFormats:commaOrSpaceSeparated,resource:null,restart:null,result:null,rotate:null,rx:null,ry:null,scale:null,seed:null,shapeRendering:null,side:null,slope:null,snapshotTime:null,specularConstant:number,specularExponent:number,spreadMethod:null,spacing:null,startOffset:null,stdDeviation:null,stemh:null,stemv:null,stitchTiles:null,stopColor:null,
+stopOpacity:null,strikethroughPosition:number,strikethroughThickness:number,string:null,stroke:null,strokeDashArray:commaOrSpaceSeparated,strokeDashOffset:null,strokeLineCap:null,strokeLineJoin:null,strokeMiterLimit:number,strokeOpacity:number,strokeWidth:null,style:null,surfaceScale:number,syncBehavior:null,syncBehaviorDefault:null,syncMaster:null,syncTolerance:null,syncToleranceDefault:null,systemLanguage:commaOrSpaceSeparated,tabIndex:number,tableValues:null,target:null,targetX:number,targetY:number,
+textAnchor:null,textDecoration:null,textRendering:null,textLength:null,timelineBegin:null,title:null,transformBehavior:null,type:null,typeOf:commaOrSpaceSeparated,to:null,transform:null,transformOrigin:null,u1:null,u2:null,underlinePosition:number,underlineThickness:number,unicode:null,unicodeBidi:null,unicodeRange:null,unitsPerEm:number,values:null,vAlphabetic:number,vMathematical:number,vectorEffect:null,vHanging:number,vIdeographic:number,version:null,vertAdvY:number,vertOriginX:number,vertOriginY:number,
+viewBox:null,viewTarget:null,visibility:null,width:null,widths:null,wordSpacing:null,writingMode:null,x:null,x1:null,x2:null,xChannelSelector:null,xHeight:number,y:null,y1:null,y2:null,yChannelSelector:null,z:null,zoomAndPan:null},space:"svg",transform:caseSensitiveTransform}),xlink=create({properties:{xLinkActuate:null,xLinkArcRole:null,xLinkHref:null,xLinkRole:null,xLinkShow:null,xLinkTitle:null,xLinkType:null},space:"xlink",transform(_,property){return"xlink:"+property.slice(5).toLowerCase()}}),
+xmlns=create({attributes:{xmlnsxlink:"xmlns:xlink"},properties:{xmlnsXLink:null,xmlns:null},space:"xmlns",transform:caseInsensitiveTransform}),xml=create({properties:{xmlBase:null,xmlLang:null,xmlSpace:null},space:"xml",transform(_,property){return"xml:"+property.slice(3).toLowerCase()}}),cap=/[A-Z]/g,dash=/-[a-z]/g,valid=/^data[-\w.:]+$/i;function find(schema,value){const normal=normalize(value);let property=value,Type=Info;if(normal in schema.normal)return schema.property[schema.normal[normal]];
+if(normal.length>4&&normal.slice(0,4)==="data"&&valid.test(value)){if(value.charAt(4)==="-"){const rest=value.slice(5).replace(dash,camelcase);property="data"+rest.charAt(0).toUpperCase()+rest.slice(1)}else{const rest=value.slice(4);if(!dash.test(rest)){let dashes=rest.replace(cap,kebab);dashes.charAt(0)!=="-"&&(dashes="-"+dashes),value="data"+dashes}}Type=DefinedInfo}return new Type(property,value)}function kebab($0){return"-"+$0.toLowerCase()}function camelcase($0){return $0.charAt(1).toUpperCase()}
+const html$2=merge([aria,html$3,xlink,xmlns,xml],"html"),svg=merge([aria,svg$1,xlink,xmlns,xml],"svg");function parse$1(value){const tokens=[],input=String(value||"");let index2=input.indexOf(","),start2=0,end=!1;for(;!end;){index2===-1&&(index2=input.length,end=!0);const token2=input.slice(start2,index2).trim();(token2||!end)&&tokens.push(token2),start2=index2+1,index2=input.indexOf(",",start2)}return tokens}function stringify$1(values,options){const settings=options||{};return(values[values.length-
+1]===""?[...values,""]:values).join((settings.padRight?" ":"")+","+(settings.padLeft===!1?"":" ")).trim()}const search=/[#.]/g;function parseSelector(selector,defaultTagName){const value=selector||"",props={};let start2=0,previous2,tagName;for(;start2<value.length;){search.lastIndex=start2;const match=search.exec(value),subvalue=value.slice(start2,match?match.index:value.length);subvalue&&(previous2?previous2==="#"?props.id=subvalue:Array.isArray(props.className)?props.className.push(subvalue):props.
+className=[subvalue]:tagName=subvalue,start2+=subvalue.length),match&&(previous2=match[0],start2++)}return{type:"element",tagName:tagName||defaultTagName||"div",properties:props,children:[]}}function parse(value){const input=String(value||"").trim();return input?input.split(/[ \t\n\r\f]+/g):[]}function stringify(values){return values.join(" ").trim()}function createH(schema,defaultTagName,caseSensitive){const adjust=caseSensitive?createAdjustMap(caseSensitive):void 0;function h2(selector,properties2,...children){
+let node2;if(selector==null){node2={type:"root",children:[]};const child2=properties2;children.unshift(child2)}else{node2=parseSelector(selector,defaultTagName);const lower=node2.tagName.toLowerCase(),adjusted=adjust?adjust.get(lower):void 0;if(node2.tagName=adjusted||lower,isChild(properties2))children.unshift(properties2);else for(const[key2,value]of Object.entries(properties2))addProperty(schema,node2.properties,key2,value)}for(const child2 of children)addChild(node2.children,child2);return node2.
+type==="element"&&node2.tagName==="template"&&(node2.content={type:"root",children:node2.children},node2.children=[]),node2}return h2}function isChild(value){if(value===null||typeof value!="object"||Array.isArray(value))return!0;if(typeof value.type!="string")return!1;const record2=value,keys2=Object.keys(value);for(const key2 of keys2){const value2=record2[key2];if(value2&&typeof value2=="object"){if(!Array.isArray(value2))return!0;const list2=value2;for(const item of list2)if(typeof item!="num\
+ber"&&typeof item!="string")return!0}}return!!("children"in value&&Array.isArray(value.children))}function addProperty(schema,properties2,key2,value){const info2=find(schema,key2);let result;if(value!=null){if(typeof value=="number"){if(Number.isNaN(value))return;result=value}else typeof value=="boolean"?result=value:typeof value=="string"?info2.spaceSeparated?result=parse(value):info2.commaSeparated?result=parse$1(value):info2.commaOrSpaceSeparated?result=parse(parse$1(value).join(" ")):result=
+parsePrimitive(info2,info2.property,value):Array.isArray(value)?result=[...value]:result=info2.property==="style"?style(value):String(value);if(Array.isArray(result)){const finalResult=[];for(const item of result)finalResult.push(parsePrimitive(info2,info2.property,item));result=finalResult}info2.property==="className"&&Array.isArray(properties2.className)&&(result=properties2.className.concat(result)),properties2[info2.property]=result}}function addChild(nodes2,value){if(value!=null)if(typeof value==
+"number"||typeof value=="string")nodes2.push({type:"text",value:String(value)});else if(Array.isArray(value))for(const child2 of value)addChild(nodes2,child2);else if(typeof value=="object"&&"type"in value)value.type==="root"?addChild(nodes2,value.children):nodes2.push(value);else throw new Error("Expected node, nodes, or string, got `"+value+"`")}function parsePrimitive(info2,name,value){if(typeof value=="string"){if(info2.number&&value&&!Number.isNaN(Number(value)))return Number(value);if((info2.
+boolean||info2.overloadedBoolean)&&(value===""||normalize(value)===normalize(name)))return!0}return value}function style(styles2){const result=[];for(const[key2,value]of Object.entries(styles2))result.push([key2,value].join(": "));return result.join("; ")}function createAdjustMap(values){const result=new Map;for(const value of values)result.set(value.toLowerCase(),value);return result}const svgCaseSensitiveTagNames=["altGlyph","altGlyphDef","altGlyphItem","animateColor","animateMotion","animateT\
+ransform","clipPath","feBlend","feColorMatrix","feComponentTransfer","feComposite","feConvolveMatrix","feDiffuseLighting","feDisplacementMap","feDistantLight","feDropShadow","feFlood","feFuncA","feFuncB","feFuncG","feFuncR","feGaussianBlur","feImage","feMerge","feMergeNode","feMorphology","feOffset","fePointLight","feSpecularLighting","feSpotLight","feTile","feTurbulence","foreignObject","glyphRef","linearGradient","radialGradient","solidColor","textArea","textPath"],h=createH(html$2,"div"),s=createH(
+svg,"g",svgCaseSensitiveTagNames),webNamespaces={html:"http://www.w3.org/1999/xhtml",svg:"http://www.w3.org/2000/svg"};function fromDom(tree,options){return transform(tree,{})||{type:"root",children:[]}}function transform(node2,options){const transformed=one$1(node2,options);return transformed&&options.afterTransform&&options.afterTransform(node2,transformed),transformed}function one$1(node2,options){switch(node2.nodeType){case 1:return element$1(node2,options);case 3:return text$1(node2);case 8:
+return comment$1(node2);case 9:return root$T(node2,options);case 10:return doctype$1();case 11:return root$T(node2,options);default:return}}function root$T(node2,options){return{type:"root",children:all$1(node2,options)}}function doctype$1(){return{type:"doctype"}}function text$1(node2){return{type:"text",value:node2.nodeValue||""}}function comment$1(node2){return{type:"comment",value:node2.nodeValue||""}}function element$1(node2,options){const space2=node2.namespaceURI,x=space2===webNamespaces.
+svg?s:h,tagName=space2===webNamespaces.html?node2.tagName.toLowerCase():node2.tagName,content2=space2===webNamespaces.html&&tagName==="template"?node2.content:node2,attributes=node2.getAttributeNames(),properties2={};let index2=-1;for(;++index2<attributes.length;)properties2[attributes[index2]]=node2.getAttribute(attributes[index2])||"";return x(tagName,properties2,all$1(content2,options))}function all$1(node2,options){const nodes2=node2.childNodes,children=[];let index2=-1;for(;++index2<nodes2.
+length;){const child2=transform(nodes2[index2],options);child2!==void 0&&children.push(child2)}return children}new DOMParser;function fromHtmlIsomorphic(value,options){const node2=parseFragment(value);return fromDom(node2)}function parseFragment(value){const template=document.createElement("template");return template.innerHTML=value,template.content}const emptyOptions$1={},emptyClasses=[];function rehypeKatex(options){const settings=options||emptyOptions$1;return function(tree,file){visitParents(
+tree,"element",function(element2,parents){const classes=Array.isArray(element2.properties.className)?element2.properties.className:emptyClasses,languageMath=classes.includes("language-math"),mathDisplay=classes.includes("math-display"),mathInline=classes.includes("math-inline");let displayMode=mathDisplay;if(!languageMath&&!mathDisplay&&!mathInline)return;let parent=parents[parents.length-1],scope2=element2;if(element2.tagName==="code"&&languageMath&&parent&&parent.type==="element"&&parent.tagName===
+"pre"&&(scope2=parent,parent=parents[parents.length-2],displayMode=!0),!parent)return;const value=toText(scope2,{whitespace:"pre"});let result;try{result=katex.renderToString(value,{...settings,displayMode,throwOnError:!0})}catch(error2){const cause=error2,ruleId=cause.name.toLowerCase();file.message("Could not render math with KaTeX",{ancestors:[...parents,element2],cause,place:element2.position,ruleId,source:"rehype-katex"});try{result=katex.renderToString(value,{...settings,displayMode,strict:"\
+ignore",throwOnError:!1})}catch{result=[{type:"element",tagName:"span",properties:{className:["katex-error"],style:"color:"+(settings.errorColor||"#cc0000"),title:String(error2)},children:[{type:"text",value}]}]}}typeof result=="string"&&(result=fromHtmlIsomorphic(result).children);const index2=parent.children.indexOf(scope2);return parent.children.splice(index2,1,...result),SKIP})}}const htmlVoidElements=["area","base","basefont","bgsound","br","col","command","embed","frame","hr","image","img",
+"input","keygen","link","meta","param","source","track","wbr"],defaultSubsetRegex=/["&'<>`]/g,surrogatePairsRegex=/[\uD800-\uDBFF][\uDC00-\uDFFF]/g,controlCharactersRegex=/[\x01-\t\v\f\x0E-\x1F\x7F\x81\x8D\x8F\x90\x9D\xA0-\uFFFF]/g,regexEscapeRegex=/[|\\{}()[\]^$+*?.]/g,subsetToRegexCache=new WeakMap;function core(value,options){if(value=value.replace(options.subset?charactersToExpressionCached(options.subset):defaultSubsetRegex,basic2),options.subset||options.escapeOnly)return value;return value.
+replace(surrogatePairsRegex,surrogate).replace(controlCharactersRegex,basic2);function surrogate(pair,index2,all2){return options.format((pair.charCodeAt(0)-55296)*1024+pair.charCodeAt(1)-56320+65536,all2.charCodeAt(index2+2),options)}function basic2(character,index2,all2){return options.format(character.charCodeAt(0),all2.charCodeAt(index2+1),options)}}function charactersToExpressionCached(subset){let cached2=subsetToRegexCache.get(subset);return cached2||(cached2=charactersToExpression(subset),
+subsetToRegexCache.set(subset,cached2)),cached2}function charactersToExpression(subset){const groups=[];let index2=-1;for(;++index2<subset.length;)groups.push(subset[index2].replace(regexEscapeRegex,"\\$&"));return new RegExp("(?:"+groups.join("|")+")","g")}const hexadecimalRegex=/[\dA-Fa-f]/;function toHexadecimal(code2,next2,omit2){const value="&#x"+code2.toString(16).toUpperCase();return omit2&&next2&&!hexadecimalRegex.test(String.fromCharCode(next2))?value:value+";"}const decimalRegex=/\d/;function toDecimal(code2,next2,omit2){
+const value="&#"+String(code2);return omit2&&next2&&!decimalRegex.test(String.fromCharCode(next2))?value:value+";"}const characterEntitiesLegacy=["AElig","AMP","Aacute","Acirc","Agrave","Aring","Atilde","Auml","COPY","Ccedil","ETH","Eacute","Ecirc","Egrave","Euml","GT","Iacute","Icirc","Igrave","Iuml","LT","Ntilde","Oacute","Ocirc","Ograve","Oslash","Otilde","Ouml","QUOT","REG","THORN","Uacute","Ucirc","Ugrave","Uuml","Yacute","aacute","acirc","acute","aelig","agrave","amp","aring","atilde","aum\
+l","brvbar","ccedil","cedil","cent","copy","curren","deg","divide","eacute","ecirc","egrave","eth","euml","frac12","frac14","frac34","gt","iacute","icirc","iexcl","igrave","iquest","iuml","laquo","lt","macr","micro","middot","nbsp","not","ntilde","oacute","ocirc","ograve","ordf","ordm","oslash","otilde","ouml","para","plusmn","pound","quot","raquo","reg","sect","shy","sup1","sup2","sup3","szlig","thorn","times","uacute","ucirc","ugrave","uml","uuml","yacute","yen","yuml"],characterEntitiesHtml4={
+nbsp:" ",iexcl:"¡",cent:"¢",pound:"£",curren:"¤",yen:"¥",brvbar:"¦",sect:"§",uml:"¨",copy:"©",ordf:"ª",laquo:"«",not:"¬",shy:"­",reg:"®",macr:"¯",deg:"°",plusmn:"±",sup2:"²",sup3:"³",acute:"´",micro:"µ",para:"¶",middot:"·",cedil:"¸",sup1:"¹",ordm:"º",raquo:"»",frac14:"¼",frac12:"½",frac34:"¾",iquest:"¿",Agrave:"À",Aacute:"Á",Acirc:"Â",Atilde:"Ã",Auml:"Ä",Aring:"Å",AElig:"Æ",Ccedil:"Ç",Egrave:"È",Eacute:"É",Ecirc:"Ê",Euml:"Ë",Igrave:"Ì",Iacute:"Í",Icirc:"\
+Î",Iuml:"Ï",ETH:"Ð",Ntilde:"Ñ",Ograve:"Ò",Oacute:"Ó",Ocirc:"Ô",Otilde:"Õ",Ouml:"Ö",times:"×",Oslash:"Ø",Ugrave:"Ù",Uacute:"Ú",Ucirc:"Û",Uuml:"Ü",Yacute:"Ý",THORN:"Þ",szlig:"ß",agrave:"à",aacute:"á",acirc:"â",atilde:"ã",auml:"ä",aring:"å",aelig:"æ",ccedil:"ç",egrave:"è",eacute:"é",ecirc:"ê",euml:"ë",igrave:"ì",iacute:"í",icirc:"î",iuml:"ï",eth:"ð",ntilde:"ñ",ograve:"ò",oacute:"ó",ocirc:"ô",otilde:"õ",ouml:"ö",divide:"÷",oslash:"ø",ugrave:"ù",uacute:"ú",
+ucirc:"û",uuml:"ü",yacute:"ý",thorn:"þ",yuml:"ÿ",fnof:"ƒ",Alpha:"Α",Beta:"Β",Gamma:"Γ",Delta:"Δ",Epsilon:"Ε",Zeta:"Ζ",Eta:"Η",Theta:"Θ",Iota:"Ι",Kappa:"Κ",Lambda:"Λ",Mu:"Μ",Nu:"Ν",Xi:"Ξ",Omicron:"Ο",Pi:"Π",Rho:"Ρ",Sigma:"Σ",Tau:"Τ",Upsilon:"Υ",Phi:"Φ",Chi:"Χ",Psi:"Ψ",Omega:"Ω",alpha:"α",beta:"β",gamma:"γ",delta:"δ",epsilon:"ε",zeta:"ζ",eta:"η",theta:"θ",iota:"ι",kappa:"κ",lambda:"λ",mu:"μ",nu:"ν",xi:"ξ",omicron:"ο",pi:"π",rho:"ρ",sigmaf:"ς",sigma:"\
+σ",tau:"τ",upsilon:"υ",phi:"φ",chi:"χ",psi:"ψ",omega:"ω",thetasym:"ϑ",upsih:"ϒ",piv:"ϖ",bull:"•",hellip:"…",prime:"′",Prime:"″",oline:"‾",frasl:"⁄",weierp:"℘",image:"ℑ",real:"ℜ",trade:"™",alefsym:"ℵ",larr:"←",uarr:"↑",rarr:"→",darr:"↓",harr:"↔",crarr:"↵",lArr:"⇐",uArr:"⇑",rArr:"⇒",dArr:"⇓",hArr:"⇔",forall:"∀",part:"∂",exist:"∃",empty:"∅",nabla:"∇",isin:"∈",notin:"∉",ni:"∋",prod:"∏",sum:"∑",minus:"−",lowast:"∗",radic:"√",
+prop:"∝",infin:"∞",ang:"∠",and:"∧",or:"∨",cap:"∩",cup:"∪",int:"∫",there4:"∴",sim:"∼",cong:"≅",asymp:"≈",ne:"≠",equiv:"≡",le:"≤",ge:"≥",sub:"⊂",sup:"⊃",nsub:"⊄",sube:"⊆",supe:"⊇",oplus:"⊕",otimes:"⊗",perp:"⊥",sdot:"⋅",lceil:"⌈",rceil:"⌉",lfloor:"⌊",rfloor:"⌋",lang:"〈",rang:"〉",loz:"◊",spades:"♠",clubs:"♣",hearts:"♥",diams:"♦",quot:'"',amp:"&",lt:"<",gt:">",OElig:"Œ",oelig:"œ",Scaron:"Š",scaron:"š",Yuml:"Ÿ",circ:"ˆ",tilde:"\
+˜",ensp:" ",emsp:" ",thinsp:" ",zwnj:"‌",zwj:"‍",lrm:"‎",rlm:"‏",ndash:"–",mdash:"—",lsquo:"‘",rsquo:"’",sbquo:"‚",ldquo:"“",rdquo:"”",bdquo:"„",dagger:"†",Dagger:"‡",permil:"‰",lsaquo:"‹",rsaquo:"›",euro:"€"},dangerous=["cent","copy","divide","gt","lt","not","para","times"],own$1={}.hasOwnProperty,characters={};let key;for(key in characterEntitiesHtml4)own$1.call(characterEntitiesHtml4,key)&&(characters[characterEntitiesHtml4[key]]=key);const notAlphanumericRegex=/[^\dA-Za-z]/;
+function toNamed(code2,next2,omit2,attribute){const character=String.fromCharCode(code2);if(own$1.call(characters,character)){const name=characters[character],value="&"+name;return omit2&&characterEntitiesLegacy.includes(name)&&!dangerous.includes(name)&&(!attribute||next2&&next2!==61&&notAlphanumericRegex.test(String.fromCharCode(next2)))?value:value+";"}return""}function formatSmart(code2,next2,options){let numeric=toHexadecimal(code2,next2,options.omitOptionalSemicolons),named;if((options.useNamedReferences||
+options.useShortestReferences)&&(named=toNamed(code2,next2,options.omitOptionalSemicolons,options.attribute)),(options.useShortestReferences||!named)&&options.useShortestReferences){const decimal=toDecimal(code2,next2,options.omitOptionalSemicolons);decimal.length<numeric.length&&(numeric=decimal)}return named&&(!options.useShortestReferences||named.length<numeric.length)?named:numeric}function stringifyEntities(value,options){return core(value,Object.assign({format:formatSmart},options))}const htmlCommentRegex=/^>|^->|<!--|-->|--!>|<!-$/g,
+bogusCommentEntitySubset=[">"],commentEntitySubset=["<",">"];function comment(node2,_12,_22,state2){return state2.settings.bogusComments?"<?"+stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:bogusCommentEntitySubset}))+">":"<!--"+node2.value.replace(htmlCommentRegex,encode2)+"-->";function encode2($0){return stringifyEntities($0,Object.assign({},state2.settings.characterReferences,{subset:commentEntitySubset}))}}function doctype(_12,_22,_32,state2){return"\
+<!"+(state2.settings.upperDoctype?"DOCTYPE":"doctype")+(state2.settings.tightDoctype?"":" ")+"html>"}const re=/[ \t\n\f\r]/g;function whitespace(thing){return typeof thing=="object"?thing.type==="text"?empty(thing.value):!1:empty(thing)}function empty(value){return value.replace(re,"")===""}const siblingAfter=siblings(1),siblingBefore=siblings(-1),emptyChildren$1=[];function siblings(increment2){return sibling2;function sibling2(parent,index2,includeWhitespace){const siblings2=parent?parent.children:
+emptyChildren$1;let offset2=(index2||0)+increment2,next2=siblings2[offset2];if(!includeWhitespace)for(;next2&&whitespace(next2);)offset2+=increment2,next2=siblings2[offset2];return next2}}const own={}.hasOwnProperty;function omission(handlers2){return omit2;function omit2(node2,index2,parent){return own.call(handlers2,node2.tagName)&&handlers2[node2.tagName](node2,index2,parent)}}const closing=omission({body:body$1,caption:headOrColgroupOrCaption,colgroup:headOrColgroupOrCaption,dd,dt,head:headOrColgroupOrCaption,
+html:html$1,li,optgroup,option,p,rp:rubyElement,rt:rubyElement,tbody:tbody$1,td:cells,tfoot,th:cells,thead,tr});function headOrColgroupOrCaption(_,index2,parent){const next2=siblingAfter(parent,index2,!0);return!next2||next2.type!=="comment"&&!(next2.type==="text"&&whitespace(next2.value.charAt(0)))}function html$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type!=="comment"}function body$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.
+type!=="comment"}function p(_,index2,parent){const next2=siblingAfter(parent,index2);return next2?next2.type==="element"&&(next2.tagName==="address"||next2.tagName==="article"||next2.tagName==="aside"||next2.tagName==="blockquote"||next2.tagName==="details"||next2.tagName==="div"||next2.tagName==="dl"||next2.tagName==="fieldset"||next2.tagName==="figcaption"||next2.tagName==="figure"||next2.tagName==="footer"||next2.tagName==="form"||next2.tagName==="h1"||next2.tagName==="h2"||next2.tagName==="h\
+3"||next2.tagName==="h4"||next2.tagName==="h5"||next2.tagName==="h6"||next2.tagName==="header"||next2.tagName==="hgroup"||next2.tagName==="hr"||next2.tagName==="main"||next2.tagName==="menu"||next2.tagName==="nav"||next2.tagName==="ol"||next2.tagName==="p"||next2.tagName==="pre"||next2.tagName==="section"||next2.tagName==="table"||next2.tagName==="ul"):!parent||!(parent.type==="element"&&(parent.tagName==="a"||parent.tagName==="audio"||parent.tagName==="del"||parent.tagName==="ins"||parent.tagName===
+"map"||parent.tagName==="noscript"||parent.tagName==="video"))}function li(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="li"}function dt(_,index2,parent){const next2=siblingAfter(parent,index2);return!!(next2&&next2.type==="element"&&(next2.tagName==="dt"||next2.tagName==="dd"))}function dd(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="dt"||next2.tagName==="dd")}function rubyElement(_,index2,parent){
+const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="rp"||next2.tagName==="rt")}function optgroup(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="optgroup"}function option(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="option"||next2.tagName==="optgroup")}function thead(_,index2,parent){const next2=siblingAfter(parent,index2);
+return!!(next2&&next2.type==="element"&&(next2.tagName==="tbody"||next2.tagName==="tfoot"))}function tbody$1(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="tbody"||next2.tagName==="tfoot")}function tfoot(_,index2,parent){return!siblingAfter(parent,index2)}function tr(_,index2,parent){const next2=siblingAfter(parent,index2);return!next2||next2.type==="element"&&next2.tagName==="tr"}function cells(_,index2,parent){const next2=siblingAfter(
+parent,index2);return!next2||next2.type==="element"&&(next2.tagName==="td"||next2.tagName==="th")}const opening=omission({body,colgroup,head,html,tbody});function html(node2){const head2=siblingAfter(node2,-1);return!head2||head2.type!=="comment"}function head(node2){const seen2=new Set;for(const child3 of node2.children)if(child3.type==="element"&&(child3.tagName==="base"||child3.tagName==="title")){if(seen2.has(child3.tagName))return!1;seen2.add(child3.tagName)}const child2=node2.children[0];return!child2||
+child2.type==="element"}function body(node2){const head2=siblingAfter(node2,-1,!0);return!head2||head2.type!=="comment"&&!(head2.type==="text"&&whitespace(head2.value.charAt(0)))&&!(head2.type==="element"&&(head2.tagName==="meta"||head2.tagName==="link"||head2.tagName==="script"||head2.tagName==="style"||head2.tagName==="template"))}function colgroup(node2,index2,parent){const previous2=siblingBefore(parent,index2),head2=siblingAfter(node2,-1,!0);return parent&&previous2&&previous2.type==="eleme\
+nt"&&previous2.tagName==="colgroup"&&closing(previous2,parent.children.indexOf(previous2),parent)?!1:!!(head2&&head2.type==="element"&&head2.tagName==="col")}function tbody(node2,index2,parent){const previous2=siblingBefore(parent,index2),head2=siblingAfter(node2,-1);return parent&&previous2&&previous2.type==="element"&&(previous2.tagName==="thead"||previous2.tagName==="tbody")&&closing(previous2,parent.children.indexOf(previous2),parent)?!1:!!(head2&&head2.type==="element"&&head2.tagName==="tr")}
+const constants={name:[[`	
 \f\r &/=>`.split(""),`	
 \f\r "&'/=>\``.split("")],[`\0	
 \f\r "&'/<=>`.split(""),`\0	
@@ -464,6 +10427,2817 @@ l0,-`+(t+144)+`c-2,-159.3,-10,-310.7,-24,-454c-53.3,-528,-210,-949.7,
 \f\r &>`.split(""),`\0	
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fa{constructor(e,t){super(e,"UnknownErrorException");this.details=t}}class InvalidPDFException extends fa{constructor(e){super(e,"InvalidPDFException")}}class ResponseException extends fa{constructor(e,t,a){super(e,"ResponseException");this.status=t;this.missing=a}}class FormatError extends fa{constructor(e){super(e,"FormatError")}}class AbortException extends fa{constructor(e){super(e,"AbortException")}}function bytesToString(e){"object"==typeof e&&void 0!==e?.length||unreachable("Invalid argument for bytesToString");const t=e.length,a=8192;if(t<a)return String.fromCharCode.apply(null,e);const r=[];for(let i=0;i<t;i+=a){const n=Math.min(i+a,t),s=e.subarray(i,n);r.push(String.fromCharCode.apply(null,s))}return r.join("")}function stringToBytes(e){"string"!=typeof e&&unreachable("Invalid argument for stringToBytes");const t=e.length,a=new Uint8Array(t);for(let r=0;r<t;++r)a[r]=255&e.charCodeAt(r);return a}function string32(e){return 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shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const ga=Array.from(Array(256).keys(),(e=>e.toString(16).padStart(2,"0")));class Util{static makeHexColor(e,t,a){return`#${ga[e]}${ga[t]}${ga[a]}`}static scaleMinMax(e,t){let a;if(e[0]){if(e[0]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[0];t[2]*=e[0];if(e[3]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[3];t[3]*=e[3]}else{a=t[0];t[0]=t[1];t[1]=a;a=t[2];t[2]=t[3];t[3]=a;if(e[1]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[1];t[3]*=e[1];if(e[2]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[2];t[2]*=e[2]}t[0]+=e[4];t[1]+=e[5];t[2]+=e[4];t[3]+=e[5]}static transform(e,t){return[e[0]*t[0]+e[2]*t[1],e[1]*t[0]+e[3]*t[1],e[0]*t[2]+e[2]*t[3],e[1]*t[2]+e[3]*t[3],e[0]*t[4]+e[2]*t[5]+e[4],e[1]*t[4]+e[3]*t[5]+e[5]]}static applyTransform(e,t,a=0){const r=e[a],i=e[a+1];e[a]=r*t[0]+i*t[2]+t[4];e[a+1]=r*t[1]+i*t[3]+t[5]}static applyTransformToBezier(e,t,a=0){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5];for(let t=0;t<6;t+=2){const l=e[a+t],h=e[a+t+1];e[a+t]=l*r+h*n+o;e[a+t+1]=l*i+h*s+c}}static applyInverseTransform(e,t){const a=e[0],r=e[1],i=t[0]*t[3]-t[1]*t[2];e[0]=(a*t[3]-r*t[2]+t[2]*t[5]-t[4]*t[3])/i;e[1]=(-a*t[1]+r*t[0]+t[4]*t[1]-t[5]*t[0])/i}static axialAlignedBoundingBox(e,t,a){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5],l=e[0],h=e[1],u=e[2],d=e[3];let f=r*l+o,g=f,p=r*u+o,m=p,b=s*h+c,y=b,w=s*d+c,x=w;if(0!==i||0!==n){const e=i*l,t=i*u,a=n*h,r=n*d;f+=a;m+=a;p+=r;g+=r;b+=e;x+=e;w+=t;y+=t}a[0]=Math.min(a[0],f,p,g,m);a[1]=Math.min(a[1],b,w,y,x);a[2]=Math.max(a[2],f,p,g,m);a[3]=Math.max(a[3],b,w,y,x)}static inverseTransform(e){const t=e[0]*e[3]-e[1]*e[2];return[e[3]/t,-e[1]/t,-e[2]/t,e[0]/t,(e[2]*e[5]-e[4]*e[3])/t,(e[4]*e[1]-e[5]*e[0])/t]}static singularValueDecompose2dScale(e,t){const a=e[0],r=e[1],i=e[2],n=e[3],s=a**2+r**2,o=a*i+r*n,c=i**2+n**2,l=(s+c)/2,h=Math.sqrt(l**2-(s*c-o**2));t[0]=Math.sqrt(l+h||1);t[1]=Math.sqrt(l-h||1)}static normalizeRect(e){const t=e.slice(0);if(e[0]>e[2]){t[0]=e[2];t[2]=e[0]}if(e[1]>e[3]){t[1]=e[3];t[3]=e[1]}return t}static intersect(e,t){const a=Math.max(Math.min(e[0],e[2]),Math.min(t[0],t[2])),r=Math.min(Math.max(e[0],e[2]),Math.max(t[0],t[2]));if(a>r)return null;const i=Math.max(Math.min(e[1],e[3]),Math.min(t[1],t[3])),n=Math.min(Math.max(e[1],e[3]),Math.max(t[1],t[3]));return i>n?null:[a,i,r,n]}static pointBoundingBox(e,t,a){a[0]=Math.min(a[0],e);a[1]=Math.min(a[1],t);a[2]=Math.max(a[2],e);a[3]=Math.max(a[3],t)}static rectBoundingBox(e,t,a,r,i){i[0]=Math.min(i[0],e,a);i[1]=Math.min(i[1],t,r);i[2]=Math.max(i[2],e,a);i[3]=Math.max(i[3],t,r)}static#e(e,t,a,r,i,n,s,o,c,l){if(c<=0||c>=1)return;const h=1-c,u=c*c,d=u*c,f=h*(h*(h*e+3*c*t)+3*u*a)+d*r,g=h*(h*(h*i+3*c*n)+3*u*s)+d*o;l[0]=Math.min(l[0],f);l[1]=Math.min(l[1],g);l[2]=Math.max(l[2],f);l[3]=Math.max(l[3],g)}static#t(e,t,a,r,i,n,s,o,c,l,h,u){if(Math.abs(c)<1e-12){Math.abs(l)>=1e-12&&this.#e(e,t,a,r,i,n,s,o,-h/l,u);return}const d=l**2-4*h*c;if(d<0)return;const f=Math.sqrt(d),g=2*c;this.#e(e,t,a,r,i,n,s,o,(-l+f)/g,u);this.#e(e,t,a,r,i,n,s,o,(-l-f)/g,u)}static bezierBoundingBox(e,t,a,r,i,n,s,o,c){c[0]=Math.min(c[0],e,s);c[1]=Math.min(c[1],t,o);c[2]=Math.max(c[2],e,s);c[3]=Math.max(c[3],t,o);this.#t(e,a,i,s,t,r,n,o,3*(3*(a-i)-e+s),6*(e-2*a+i),3*(a-e),c);this.#t(e,a,i,s,t,r,n,o,3*(3*(r-n)-t+o),6*(t-2*r+n),3*(r-t),c)}}const pa=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,728,711,710,729,733,731,730,732,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8226,8224,8225,8230,8212,8211,402,8260,8249,8250,8722,8240,8222,8220,8221,8216,8217,8218,8482,64257,64258,321,338,352,376,381,305,322,339,353,382,0,8364];function stringToPDFString(e,t=!1){if(e[0]>="ï"){let a;if("þ"===e[0]&&"ÿ"===e[1]){a="utf-16be";e.length%2==1&&(e=e.slice(0,-1))}else if("ÿ"===e[0]&&"þ"===e[1]){a="utf-16le";e.length%2==1&&(e=e.slice(0,-1))}else"ï"===e[0]&&"»"===e[1]&&"¿"===e[2]&&(a="utf-8");if(a)try{const r=new TextDecoder(a,{fatal:!0}),i=stringToBytes(e),n=r.decode(i);return t||!n.includes("\x1B")?n:n.replaceAll(/\\x1b[^\\x1b]*(?:\\x1b|$)/g,"")}catch(e){warn(`stringToPDFString: "${e}".`)}}const a=[];for(let r=0,i=e.length;r<i;r++){const n=e.charCodeAt(r);if(!t&&27===n){for(;++r<i&&27!==e.charCodeAt(r););continue}const s=pa[n];a.push(s?String.fromCharCode(s):e.charAt(r))}return a.join("")}function stringToUTF8String(e){return decodeURIComponent(escape(e))}function utf8StringToString(e){return unescape(encodeURIComponent(e))}function isArrayEqual(e,t){if(e.length!==t.length)return!1;for(let a=0,r=e.length;a<r;a++)if(e[a]!==t[a])return!1;return!0}function getModificationDate(e=new Date){e instanceof Date||(e=new Date(e));return[e.getUTCFullYear().toString(),(e.getUTCMonth()+1).toString().padStart(2,"0"),e.getUTCDate().toString().padStart(2,"0"),e.getUTCHours().toString().padStart(2,"0"),e.getUTCMinutes().toString().padStart(2,"0"),e.getUTCSeconds().toString().padStart(2,"0")].join("")}let ma=null,ba=null;function MathClamp(e,t,a){return Math.min(Math.max(e,t),a)}function toHexUtil(e){return Uint8Array.prototype.toHex?e.toHex():Array.from(e,(e=>ga[e])).join("")}"function"!=typeof Promise.try&&(Promise.try=function(e,...t){return new Promise((a=>{a(e(...t))}))});"function"!=typeof Math.sumPrecise&&(Math.sumPrecise=function(e){return e.reduce(((e,t)=>e+t),0)});const ya=Symbol("CIRCULAR_REF"),wa=Symbol("EOF");let xa=Object.create(null),Sa=Object.create(null),Aa=Object.create(null);class Name{constructor(e){this.name=e}static get(e){return Sa[e]||=new Name(e)}}class Cmd{constructor(e){this.cmd=e}static get(e){return xa[e]||=new Cmd(e)}}const ka=function nonSerializableClosure(){return ka};class Dict{constructor(e=null){this._map=new Map;this.xref=e;this.objId=null;this.suppressEncryption=!1;this.__nonSerializable__=ka}assignXref(e){this.xref=e}get size(){return this._map.size}get(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetch(r,this.suppressEncryption):r}async getAsync(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetchAsync(r,this.suppressEncryption):r}getArray(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}r instanceof Ref&&this.xref&&(r=this.xref.fetch(r,this.suppressEncryption));if(Array.isArray(r)){r=r.slice();for(let e=0,t=r.length;e<t;e++)r[e]instanceof Ref&&this.xref&&(r[e]=this.xref.fetch(r[e],this.suppressEncryption))}return r}getRaw(e){return this._map.get(e)}getKeys(){return[...this._map.keys()]}getRawValues(){return[...this._map.values()]}set(e,t){this._map.set(e,t)}setIfNotExists(e,t){this.has(e)||this.set(e,t)}setIfNumber(e,t){"number"==typeof t&&this.set(e,t)}setIfArray(e,t){(Array.isArray(t)||ArrayBuffer.isView(t))&&this.set(e,t)}setIfDefined(e,t){null!=t&&this.set(e,t)}setIfName(e,t){"string"==typeof t?this.set(e,Name.get(t)):t instanceof Name&&this.set(e,t)}has(e){return this._map.has(e)}*[Symbol.iterator](){for(const[e,t]of this._map)yield[e,t instanceof Ref&&this.xref?this.xref.fetch(t,this.suppressEncryption):t]}static get empty(){const e=new Dict(null);e.set=(e,t)=>{unreachable("Should not call `set` on the empty dictionary.")};return shadow(this,"empty",e)}static merge({xref:e,dictArray:t,mergeSubDicts:a=!1}){const r=new Dict(e),i=new Map;for(const e of t)if(e instanceof Dict)for(const[t,r]of e._map){let e=i.get(t);if(void 0===e){e=[];i.set(t,e)}else if(!(a&&r instanceof Dict))continue;e.push(r)}for(const[t,a]of i){if(1===a.length||!(a[0]instanceof Dict)){r._map.set(t,a[0]);continue}const i=new Dict(e);for(const e of a)for(const[t,a]of e._map)i._map.has(t)||i._map.set(t,a);i.size>0&&r._map.set(t,i)}i.clear();return r.size>0?r:Dict.empty}clone(){const e=new Dict(this.xref);for(const t of this.getKeys())e.set(t,this.getRaw(t));return e}delete(e){delete this._map[e]}}class Ref{constructor(e,t){this.num=e;this.gen=t}toString(){return 0===this.gen?`${this.num}R`:`${this.num}R${this.gen}`}static fromString(e){const t=Aa[e];if(t)return t;const a=/^(\\d+)R(\\d*)$/.exec(e);return a&&"0"!==a[1]?Aa[e]=new Ref(parseInt(a[1]),a[2]?parseInt(a[2]):0):null}static get(e,t){const a=0===t?`${e}R`:`${e}R${t}`;return Aa[a]||=new Ref(e,t)}}class RefSet{constructor(e=null){this._set=new Set(e?._set)}has(e){return this._set.has(e.toString())}put(e){this._set.add(e.toString())}remove(e){this._set.delete(e.toString())}[Symbol.iterator](){return this._set.values()}clear(){this._set.clear()}}class RefSetCache{constructor(){this._map=new Map}get size(){return this._map.size}get(e){return this._map.get(e.toString())}has(e){return this._map.has(e.toString())}put(e,t){this._map.set(e.toString(),t)}putAlias(e,t){this._map.set(e.toString(),this.get(t))}[Symbol.iterator](){return this._map.values()}clear(){this._map.clear()}*values(){yield*this._map.values()}*items(){for(const[e,t]of this._map)yield[Ref.fromString(e),t]}}function isName(e,t){return e instanceof Name&&(void 0===t||e.name===t)}function isCmd(e,t){return e instanceof Cmd&&(void 0===t||e.cmd===t)}function isDict(e,t){return e instanceof Dict&&(void 0===t||isName(e.get("Type"),t))}function isRefsEqual(e,t){return e.num===t.num&&e.gen===t.gen}class BaseStream{get length(){unreachable("Abstract getter `length` accessed")}get isEmpty(){unreachable("Abstract getter `isEmpty` accessed")}get isDataLoaded(){return shadow(this,"isDataLoaded",!0)}getByte(){unreachable("Abstract method `getByte` called")}getBytes(e){unreachable("Abstract method `getBytes` called")}async getImageData(e,t){return this.getBytes(e,t)}async asyncGetBytes(){unreachable("Abstract method `asyncGetBytes` called")}get isAsync(){return!1}get isAsyncDecoder(){return!1}get canAsyncDecodeImageFromBuffer(){return!1}async getTransferableImage(){return null}peekByte(){const e=this.getByte();-1!==e&&this.pos--;return e}peekBytes(e){const t=this.getBytes(e);this.pos-=t.length;return t}getUint16(){const e=this.getByte(),t=this.getByte();return-1===e||-1===t?-1:(e<<8)+t}getInt32(){return(this.getByte()<<24)+(this.getByte()<<16)+(this.getByte()<<8)+this.getByte()}getByteRange(e,t){unreachable("Abstract method `getByteRange` called")}getString(e){return bytesToString(this.getBytes(e))}skip(e){this.pos+=e||1}reset(){unreachable("Abstract method `reset` called")}moveStart(){unreachable("Abstract method `moveStart` called")}makeSubStream(e,t,a=null){unreachable("Abstract method `makeSubStream` called")}getBaseStreams(){return null}}const Ca=/^[1-9]\\.\\d$/,va=2**31-1,Fa=[1,0,0,1,0,0],Ia=["ColorSpace","ExtGState","Font","Pattern","Properties","Shading","XObject"],Ta=["ExtGState","Font","Properties","XObject"];function getLookupTableFactory(e){let t;return function(){if(e){t=Object.create(null);e(t);e=null}return t}}class MissingDataException extends fa{constructor(e,t){super(`Missing data [${e}, ${t})`,"MissingDataException");this.begin=e;this.end=t}}class ParserEOFException extends fa{constructor(e){super(e,"ParserEOFException")}}class XRefEntryException extends fa{constructor(e){super(e,"XRefEntryException")}}class XRefParseException extends fa{constructor(e){super(e,"XRefParseException")}}function arrayBuffersToBytes(e){const t=e.length;if(0===t)return new Uint8Array(0);if(1===t)return new Uint8Array(e[0]);let a=0;for(let r=0;r<t;r++)a+=e[r].byteLength;const r=new Uint8Array(a);let i=0;for(let a=0;a<t;a++){const t=new Uint8Array(e[a]);r.set(t,i);i+=t.byteLength}return r}async function fetchBinaryData(e){const t=await fetch(e);if(!t.ok)throw new Error(`Failed to fetch file "${e}" with "${t.statusText}".`);return new Uint8Array(await t.arrayBuffer())}function getInheritableProperty({dict:e,key:t,getArray:a=!1,stopWhenFound:r=!0}){let i;const n=new RefSet;for(;e instanceof Dict&&(!e.objId||!n.has(e.objId));){e.objId&&n.put(e.objId);const s=a?e.getArray(t):e.get(t);if(void 0!==s){if(r)return s;(i||=[]).push(s)}e=e.get("Parent")}return i}const Oa=["","C","CC","CCC","CD","D","DC","DCC","DCCC","CM","","X","XX","XXX","XL","L","LX","LXX","LXXX","XC","","I","II","III","IV","V","VI","VII","VIII","IX"];function toRomanNumerals(e,t=!1){assert(Number.isInteger(e)&&e>0,"The number should be a positive integer.");const a="M".repeat(e/1e3|0)+Oa[e%1e3/100|0]+Oa[10+(e%100/10|0)]+Oa[20+e%10];return t?a.toLowerCase():a}function log2(e){return e>0?Math.ceil(Math.log2(e)):0}function readInt8(e,t){return e[t]<<24>>24}function readInt16(e,t){return(e[t]<<24|e[t+1]<<16)>>16}function readUint16(e,t){return e[t]<<8|e[t+1]}function readUint32(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}function isWhiteSpace(e){return 32===e||9===e||13===e||10===e}function isNumberArray(e,t){return Array.isArray(e)?(null===t||e.length===t)&&e.every((e=>"number"==typeof e)):ArrayBuffer.isView(e)&&!(e instanceof BigInt64Array||e instanceof BigUint64Array)&&(null===t||e.length===t)}function lookupMatrix(e,t){return isNumberArray(e,6)?e:t}function lookupRect(e,t){return isNumberArray(e,4)?e:t}function lookupNormalRect(e,t){return isNumberArray(e,4)?Util.normalizeRect(e):t}function parseXFAPath(e){const t=/(.+)\\[(\\d+)\\]$/;return e.split(".").map((e=>{const a=e.match(t);return a?{name:a[1],pos:parseInt(a[2],10)}:{name:e,pos:0}}))}function escapePDFName(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.charCodeAt(r);if(i<33||i>126||35===i||40===i||41===i||60===i||62===i||91===i||93===i||123===i||125===i||47===i||37===i){a<r&&t.push(e.substring(a,r));t.push(`#${i.toString(16)}`);a=r+1}}if(0===t.length)return e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function escapeString(e){return e.replaceAll(/([()\\\\\\n\\r])/g,(e=>"\\n"===e?"\\\\n":"\\r"===e?"\\\\r":`\\\\${e}`))}function _collectJS(e,t,a,r){if(!e)return;let i=null;if(e instanceof Ref){if(r.has(e))return;i=e;r.put(i);e=t.fetch(e)}if(Array.isArray(e))for(const i of e)_collectJS(i,t,a,r);else if(e instanceof Dict){if(isName(e.get("S"),"JavaScript")){const t=e.get("JS");let r;t instanceof BaseStream?r=t.getString():"string"==typeof t&&(r=t);r&&=stringToPDFString(r,!0).replaceAll("\\0","");r&&a.push(r.trim())}_collectJS(e.getRaw("Next"),t,a,r)}i&&r.remove(i)}function collectActions(e,t,a){const r=Object.create(null),i=getInheritableProperty({dict:t,key:"AA",stopWhenFound:!1});if(i)for(let t=i.length-1;t>=0;t--){const n=i[t];if(n instanceof Dict)for(const t of n.getKeys()){const i=a[t];if(!i)continue;const s=[];_collectJS(n.getRaw(t),e,s,new RefSet);s.length>0&&(r[i]=s)}}if(t.has("A")){const a=[];_collectJS(t.get("A"),e,a,new RefSet);a.length>0&&(r.Action=a)}return objectSize(r)>0?r:null}const Ma={60:"&lt;",62:"&gt;",38:"&amp;",34:"&quot;",39:"&apos;"};function*codePointIter(e){for(let t=0,a=e.length;t<a;t++){const a=e.codePointAt(t);a>55295&&(a<57344||a>65533)&&t++;yield a}}function encodeToXmlString(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.codePointAt(r);if(32<=i&&i<=126){const n=Ma[i];if(n){a<r&&t.push(e.substring(a,r));t.push(n);a=r+1}}else{a<r&&t.push(e.substring(a,r));t.push(`&#x${i.toString(16).toUpperCase()};`);i>55295&&(i<57344||i>65533)&&r++;a=r+1}}if(0===t.length)return e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function validateFontName(e,t=!1){const a=/^("|\').*("|\')$/.exec(e);if(a&&a[1]===a[2]){if(new RegExp(`[^\\\\\\\\]${a[1]}`).test(e.slice(1,-1))){t&&warn(`FontFamily contains unescaped ${a[1]}: ${e}.`);return!1}}else for(const a of e.split(/[ \\t]+/))if(/^(\\d|(-(\\d|-)))/.test(a)||!/^[\\w-\\\\]+$/.test(a)){t&&warn(`FontFamily contains invalid <custom-ident>: ${e}.`);return!1}return!0}function validateCSSFont(e){const t=new Set(["100","200","300","400","500","600","700","800","900","1000","normal","bold","bolder","lighter"]),{fontFamily:a,fontWeight:r,italicAngle:i}=e;if(!validateFontName(a,!0))return!1;const n=r?r.toString():"";e.fontWeight=t.has(n)?n:"400";const s=parseFloat(i);e.italicAngle=isNaN(s)||s<-90||s>90?"14":i.toString();return!0}function recoverJsURL(e){const t=new RegExp("^\\\\s*("+["app.launchURL","window.open","xfa.host.gotoURL"].join("|").replaceAll(".","\\\\.")+")\\\\((?:\'|\\")([^\'\\"]*)(?:\'|\\")(?:,\\\\s*(\\\\w+)\\\\)|\\\\))","i").exec(e);return t?.[2]?{url:t[2],newWindow:"app.launchURL"===t[1]&&"true"===t[3]}:null}function numberToString(e){if(Number.isInteger(e))return e.toString();const t=Math.round(100*e);return t%100==0?(t/100).toString():t%10==0?e.toFixed(1):e.toFixed(2)}function getNewAnnotationsMap(e){if(!e)return null;const t=new Map;for(const[a,r]of e){if(!a.startsWith(f))continue;let e=t.get(r.pageIndex);if(!e){e=[];t.set(r.pageIndex,e)}e.push(r)}return t.size>0?t:null}function stringToAsciiOrUTF16BE(e){return null==e||function isAscii(e){if("string"!=typeof e)return!1;return!e||/^[\\x00-\\x7F]*$/.test(e)}(e)?e:stringToUTF16String(e,!0)}function stringToUTF16HexString(e){const t=[];for(let a=0,r=e.length;a<r;a++){const r=e.charCodeAt(a);t.push(ga[r>>8&255],ga[255&r])}return t.join("")}function stringToUTF16String(e,t=!1){const a=[];t&&a.push("þÿ");for(let t=0,r=e.length;t<r;t++){const r=e.charCodeAt(t);a.push(String.fromCharCode(r>>8&255),String.fromCharCode(255&r))}return a.join("")}function getRotationMatrix(e,t,a){switch(e){case 90:return[0,1,-1,0,t,0];case 180:return[-1,0,0,-1,t,a];case 270:return[0,-1,1,0,0,a];default:throw new Error("Invalid rotation")}}function getSizeInBytes(e){return Math.ceil(Math.ceil(Math.log2(1+e))/8)}class QCMS{static#a=null;static _memory=null;static _mustAddAlpha=!1;static _destBuffer=null;static _destOffset=0;static _destLength=0;static _cssColor="";static _makeHexColor=null;static get _memoryArray(){const e=this.#a;return e?.byteLength?e:this.#a=new Uint8Array(this._memory.buffer)}}let Da;const Ba="undefined"!=typeof TextDecoder?new TextDecoder("utf-8",{ignoreBOM:!0,fatal:!0}):{decode:()=>{throw Error("TextDecoder not available")}};"undefined"!=typeof TextDecoder&&Ba.decode();let Ra=null;function getUint8ArrayMemory0(){null!==Ra&&0!==Ra.byteLength||(Ra=new Uint8Array(Da.memory.buffer));return Ra}let Na=0;function passArray8ToWasm0(e,t){const a=t(1*e.length,1)>>>0;getUint8ArrayMemory0().set(e,a/1);Na=e.length;return a}const Ea=Object.freeze({RGB8:0,0:"RGB8",RGBA8:1,1:"RGBA8",BGRA8:2,2:"BGRA8",Gray8:3,3:"Gray8",GrayA8:4,4:"GrayA8",CMYK:5,5:"CMYK"}),Pa=Object.freeze({Perceptual:0,0:"Perceptual",RelativeColorimetric:1,1:"RelativeColorimetric",Saturation:2,2:"Saturation",AbsoluteColorimetric:3,3:"AbsoluteColorimetric"});function __wbg_get_imports(){const e={wbg:{}};e.wbg.__wbg_copyresult_b08ee7d273f295dd=function(e,t){!function copy_result(e,t){const{_mustAddAlpha:a,_destBuffer:r,_destOffset:i,_destLength:n,_memoryArray:s}=QCMS;if(t!==n)if(a)for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2];r[o+3]=255}else for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2]}else r.set(s.subarray(e,e+t),i)}(e>>>0,t>>>0)};e.wbg.__wbg_copyrgb_d60ce17bb05d9b67=function(e){!function copy_rgb(e){const{_destBuffer:t,_destOffset:a,_memoryArray:r}=QCMS;t[a]=r[e];t[a+1]=r[e+1];t[a+2]=r[e+2]}(e>>>0)};e.wbg.__wbg_makecssRGB_893bf0cd9fdb302d=function(e){!function make_cssRGB(e){const{_memoryArray:t}=QCMS;QCMS._cssColor=QCMS._makeHexColor(t[e],t[e+1],t[e+2])}(e>>>0)};e.wbg.__wbindgen_init_externref_table=function(){const e=Da.__wbindgen_export_0,t=e.grow(4);e.set(0,void 0);e.set(t+0,void 0);e.set(t+1,null);e.set(t+2,!0);e.set(t+3,!1)};e.wbg.__wbindgen_throw=function(e,t){throw new Error(function getStringFromWasm0(e,t){e>>>=0;return Ba.decode(getUint8ArrayMemory0().subarray(e,e+t))}(e,t))};return e}function __wbg_finalize_init(e,t){Da=e.exports;__wbg_init.__wbindgen_wasm_module=t;Ra=null;Da.__wbindgen_start();return Da}async function __wbg_init(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module_or_path:e}=e):console.warn("using deprecated parameters for the initialization function; pass a single object instead"));const t=__wbg_get_imports();("string"==typeof e||"function"==typeof Request&&e instanceof Request||"function"==typeof URL&&e instanceof URL)&&(e=fetch(e));const{instance:a,module:r}=await async function __wbg_load(e,t){if("function"==typeof Response&&e instanceof Response){if("function"==typeof WebAssembly.instantiateStreaming)try{return await WebAssembly.instantiateStreaming(e,t)}catch(t){if("application/wasm"==e.headers.get("Content-Type"))throw t;console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\\n",t)}const a=await e.arrayBuffer();return await WebAssembly.instantiate(a,t)}{const a=await WebAssembly.instantiate(e,t);return a instanceof WebAssembly.Instance?{instance:a,module:e}:a}}(await e,t);return __wbg_finalize_init(a,r)}class ColorSpace{static#r=new Uint8ClampedArray(3);constructor(e,t){this.name=e;this.numComps=t}getRgb(e,t,a=new Uint8ClampedArray(3)){this.getRgbItem(e,t,a,0);return a}getRgbHex(e,t){const a=this.getRgb(e,t,ColorSpace.#r);return Util.makeHexColor(a[0],a[1],a[2])}getRgbItem(e,t,a,r){unreachable("Should not call ColorSpace.getRgbItem")}getRgbBuffer(e,t,a,r,i,n,s){unreachable("Should not call ColorSpace.getRgbBuffer")}getOutputLength(e,t){unreachable("Should not call ColorSpace.getOutputLength")}isPassthrough(e){return!1}isDefaultDecode(e,t){return ColorSpace.isDefaultDecode(e,this.numComps)}fillRgb(e,t,a,r,i,n,s,o,c){const l=t*a;let h=null;const u=1<<s,d=a!==i||t!==r;if(this.isPassthrough(s))h=o;else if(1===this.numComps&&l>u&&"DeviceGray"!==this.name&&"DeviceRGB"!==this.name){const t=s<=8?new Uint8Array(u):new Uint16Array(u);for(let e=0;e<u;e++)t[e]=e;const a=new Uint8ClampedArray(3*u);this.getRgbBuffer(t,0,u,a,0,s,0);if(d){h=new Uint8Array(3*l);let e=0;for(let t=0;t<l;++t){const r=3*o[t];h[e++]=a[r];h[e++]=a[r+1];h[e++]=a[r+2]}}else{let t=0;for(let r=0;r<l;++r){const i=3*o[r];e[t++]=a[i];e[t++]=a[i+1];e[t++]=a[i+2];t+=c}}}else if(d){h=new Uint8ClampedArray(3*l);this.getRgbBuffer(o,0,l,h,0,s,0)}else this.getRgbBuffer(o,0,r*n,e,0,s,c);if(h)if(d)!function resizeRgbImage(e,t,a,r,i,n,s){s=1!==s?0:s;const o=a/i,c=r/n;let l,h=0;const u=new Uint16Array(i),d=3*a;for(let e=0;e<i;e++)u[e]=3*Math.floor(e*o);for(let a=0;a<n;a++){const r=Math.floor(a*c)*d;for(let a=0;a<i;a++){l=r+u[a];t[h++]=e[l++];t[h++]=e[l++];t[h++]=e[l++];h+=s}}}(h,e,t,a,r,i,c);else{let t=0,a=0;for(let i=0,s=r*n;i<s;i++){e[t++]=h[a++];e[t++]=h[a++];e[t++]=h[a++];t+=c}}}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!0)}static isDefaultDecode(e,t){if(!Array.isArray(e))return!0;if(2*t!==e.length){warn("The decode map is not the correct length");return!0}for(let t=0,a=e.length;t<a;t+=2)if(0!==e[t]||1!==e[t+1])return!1;return!0}}class AlternateCS extends ColorSpace{constructor(e,t,a){super("Alternate",e);this.base=t;this.tintFn=a;this.tmpBuf=new Float32Array(t.numComps)}getRgbItem(e,t,a,r){const i=this.tmpBuf;this.tintFn(e,t,i,0);this.base.getRgbItem(i,0,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=this.tintFn,c=this.base,l=1/((1<<n)-1),h=c.numComps,u=c.usesZeroToOneRange,d=(c.isPassthrough(8)||!u)&&0===s;let f=d?i:0;const g=d?r:new Uint8ClampedArray(h*a),p=this.numComps,m=new Float32Array(p),b=new Float32Array(h);let y,w;for(y=0;y<a;y++){for(w=0;w<p;w++)m[w]=e[t++]*l;o(m,0,b,0);if(u)for(w=0;w<h;w++)g[f++]=255*b[w];else{c.getRgbItem(b,0,g,f);f+=h}}d||c.getRgbBuffer(g,0,a,r,i,8,s)}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps/this.numComps,t)}}class PatternCS extends ColorSpace{constructor(e){super("Pattern",null);this.base=e}isDefaultDecode(e,t){unreachable("Should not call PatternCS.isDefaultDecode")}}class IndexedCS extends ColorSpace{constructor(e,t,a){super("Indexed",1);this.base=e;this.highVal=t;const r=e.numComps*(t+1);this.lookup=new Uint8Array(r);if(a instanceof BaseStream){const e=a.getBytes(r);this.lookup.set(e)}else{if("string"!=typeof a)throw new FormatError(`IndexedCS - unrecognized lookup table: ${a}`);for(let e=0;e<r;++e)this.lookup[e]=255&a.charCodeAt(e)}}getRgbItem(e,t,a,r){const{base:i,highVal:n,lookup:s}=this,o=MathClamp(Math.round(e[t]),0,n)*i.numComps;i.getRgbBuffer(s,o,1,a,r,8,0)}getRgbBuffer(e,t,a,r,i,n,s){const{base:o,highVal:c,lookup:l}=this,{numComps:h}=o,u=o.getOutputLength(h,s);for(let n=0;n<a;++n){const a=MathClamp(Math.round(e[t++]),0,c)*h;o.getRgbBuffer(l,a,1,r,i,8,s);i+=u}}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps,t)}isDefaultDecode(e,t){if(!Array.isArray(e))return!0;if(2!==e.length){warn("Decode map length is not correct");return!0}if(!Number.isInteger(t)||t<1){warn("Bits per component is not correct");return!0}return 0===e[0]&&e[1]===(1<<t)-1}}class DeviceGrayCS extends ColorSpace{constructor(){super("DeviceGray",1)}getRgbItem(e,t,a,r){const i=255*e[t];a[r]=a[r+1]=a[r+2]=i}getRgbBuffer(e,t,a,r,i,n,s){const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){const t=o*e[c++];r[l++]=t;r[l++]=t;r[l++]=t;l+=s}}getOutputLength(e,t){return e*(3+t)}}class DeviceRgbCS extends ColorSpace{constructor(){super("DeviceRGB",3)}getRgbItem(e,t,a,r){a[r]=255*e[t];a[r+1]=255*e[t+1];a[r+2]=255*e[t+2]}getRgbBuffer(e,t,a,r,i,n,s){if(8===n&&0===s){r.set(e.subarray(t,t+3*a),i);return}const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){r[l++]=o*e[c++];r[l++]=o*e[c++];r[l++]=o*e[c++];l+=s}}getOutputLength(e,t){return e*(3+t)/3|0}isPassthrough(e){return 8===e}}class DeviceRgbaCS extends ColorSpace{constructor(){super("DeviceRGBA",4)}getOutputLength(e,t){return 4*e}isPassthrough(e){return 8===e}fillRgb(e,t,a,r,i,n,s,o,c){a!==i||t!==r?function resizeRgbaImage(e,t,a,r,i,n,s){const o=a/i,c=r/n;let l=0;const h=new Uint16Array(i);if(1===s){for(let e=0;e<i;e++)h[e]=Math.floor(e*o);const r=new Uint32Array(e.buffer),s=new Uint32Array(t.buffer),u=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0;e<n;e++){const t=r.subarray(Math.floor(e*c)*a);for(let e=0;e<i;e++)s[l++]|=t[h[e]]&u}}else{const r=4,s=a*r;for(let e=0;e<i;e++)h[e]=Math.floor(e*o)*r;for(let a=0;a<n;a++){const r=e.subarray(Math.floor(a*c)*s);for(let e=0;e<i;e++){const a=h[e];t[l++]=r[a];t[l++]=r[a+1];t[l++]=r[a+2]}}}}(o,e,t,a,r,i,c):function copyRgbaImage(e,t,a){if(1===a){const a=new Uint32Array(e.buffer),r=new Uint32Array(t.buffer),i=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0,t=a.length;e<t;e++)r[e]|=a[e]&i}else{let a=0;for(let r=0,i=e.length;r<i;r+=4){t[a++]=e[r];t[a++]=e[r+1];t[a++]=e[r+2]}}}(o,e,c)}}class DeviceCmykCS extends ColorSpace{constructor(){super("DeviceCMYK",4)}#i(e,t,a,r,i){const n=e[t]*a,s=e[t+1]*a,o=e[t+2]*a,c=e[t+3]*a;r[i]=255+n*(-4.387332384609988*n+54.48615194189176*s+18.82290502165302*o+212.25662451639585*c-285.2331026137004)+s*(1.7149763477362134*s-5.6096736904047315*o+-17.873870861415444*c-5.497006427196366)+o*(-2.5217340131683033*o-21.248923337353073*c+17.5119270841813)+c*(-21.86122147463605*c-189.48180835922747);r[i+1]=255+n*(8.841041422036149*n+60.118027045597366*s+6.871425592049007*o+31.159100130055922*c-79.2970844816548)+s*(-15.310361306967817*s+17.575251261109482*o+131.35250912493976*c-190.9453302588951)+o*(4.444339102852739*o+9.8632861493405*c-24.86741582555878)+c*(-20.737325471181034*c-187.80453709719578);r[i+2]=255+n*(.8842522430003296*n+8.078677503112928*s+30.89978309703729*o-.23883238689178934*c-14.183576799673286)+s*(10.49593273432072*s+63.02378494754052*o+50.606957656360734*c-112.23884253719248)+o*(.03296041114873217*o+115.60384449646641*c-193.58209356861505)+c*(-22.33816807309886*c-180.12613974708367)}getRgbItem(e,t,a,r){this.#i(e,t,1,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=4;i+=3+s}}getOutputLength(e,t){return e/4*(3+t)|0}}class CalGrayCS extends ColorSpace{constructor(e,t,a){super("CalGray",1);if(!e)throw new FormatError("WhitePoint missing - required for color space CalGray");[this.XW,this.YW,this.ZW]=e;[this.XB,this.YB,this.ZB]=t||[0,0,0];this.G=a||1;if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError(`Invalid WhitePoint components for ${this.name}, no fallback available`);if(this.XB<0||this.YB<0||this.ZB<0){info(`Invalid BlackPoint for ${this.name}, falling back to default.`);this.XB=this.YB=this.ZB=0}0===this.XB&&0===this.YB&&0===this.ZB||warn(`${this.name}, BlackPoint: XB: ${this.XB}, YB: ${this.YB}, ZB: ${this.ZB}, only default values are supported.`);if(this.G<1){info(`Invalid Gamma: ${this.G} for ${this.name}, falling back to default.`);this.G=1}}#i(e,t,a,r,i){const n=(e[t]*i)**this.G,s=this.YW*n,o=Math.max(295.8*s**.3333333333333333-40.8,0);a[r]=o;a[r+1]=o;a[r+2]=o}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;++n){this.#i(e,t,r,i,o);t+=1;i+=3+s}}getOutputLength(e,t){return e*(3+t)}}class CalRGBCS extends ColorSpace{static#n=new Float32Array([.8951,.2664,-.1614,-.7502,1.7135,.0367,.0389,-.0685,1.0296]);static#s=new Float32Array([.9869929,-.1470543,.1599627,.4323053,.5183603,.0492912,-.0085287,.0400428,.9684867]);static#o=new Float32Array([3.2404542,-1.5371385,-.4985314,-.969266,1.8760108,.041556,.0556434,-.2040259,1.0572252]);static#c=new Float32Array([1,1,1]);static#l=new Float32Array(3);static#h=new Float32Array(3);static#u=new Float32Array(3);static#d=(24/116)**3/8;constructor(e,t,a,r){super("CalRGB",3);if(!e)throw new FormatError("WhitePoint missing - required for color space CalRGB");const[i,n,s]=this.whitePoint=e,[o,c,l]=this.blackPoint=t||new Float32Array(3);[this.GR,this.GG,this.GB]=a||new Float32Array([1,1,1]);[this.MXA,this.MYA,this.MZA,this.MXB,this.MYB,this.MZB,this.MXC,this.MYC,this.MZC]=r||new Float32Array([1,0,0,0,1,0,0,0,1]);if(i<0||s<0||1!==n)throw new FormatError(`Invalid WhitePoint components for ${this.name}, no fallback available`);if(o<0||c<0||l<0){info(`Invalid BlackPoint for ${this.name} [${o}, ${c}, ${l}], falling back to default.`);this.blackPoint=new Float32Array(3)}if(this.GR<0||this.GG<0||this.GB<0){info(`Invalid Gamma [${this.GR}, ${this.GG}, ${this.GB}] for ${this.name}, falling back to default.`);this.GR=this.GG=this.GB=1}}#f(e,t,a){a[0]=e[0]*t[0]+e[1]*t[1]+e[2]*t[2];a[1]=e[3]*t[0]+e[4]*t[1]+e[5]*t[2];a[2]=e[6]*t[0]+e[7]*t[1]+e[8]*t[2]}#g(e,t,a){a[0]=1*t[0]/e[0];a[1]=1*t[1]/e[1];a[2]=1*t[2]/e[2]}#p(e,t,a){a[0]=.95047*t[0]/e[0];a[1]=1*t[1]/e[1];a[2]=1.08883*t[2]/e[2]}#m(e){return e<=.0031308?MathClamp(12.92*e,0,1):e>=.99554525?1:MathClamp(1.055*e**(1/2.4)-.055,0,1)}#b(e){return e<0?-this.#b(-e):e>8?((e+16)/116)**3:e*CalRGBCS.#d}#y(e,t,a){if(0===e[0]&&0===e[1]&&0===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=this.#b(0),i=(1-r)/(1-this.#b(e[0])),n=1-i,s=(1-r)/(1-this.#b(e[1])),o=1-s,c=(1-r)/(1-this.#b(e[2])),l=1-c;a[0]=t[0]*i+n;a[1]=t[1]*s+o;a[2]=t[2]*c+l}#w(e,t,a){if(1===e[0]&&1===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#g(e,r,i);this.#f(CalRGBCS.#s,i,a)}#x(e,t,a){const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#p(e,r,i);this.#f(CalRGBCS.#s,i,a)}#i(e,t,a,r,i){const n=MathClamp(e[t]*i,0,1),s=MathClamp(e[t+1]*i,0,1),o=MathClamp(e[t+2]*i,0,1),c=1===n?1:n**this.GR,l=1===s?1:s**this.GG,h=1===o?1:o**this.GB,u=this.MXA*c+this.MXB*l+this.MXC*h,d=this.MYA*c+this.MYB*l+this.MYC*h,f=this.MZA*c+this.MZB*l+this.MZC*h,g=CalRGBCS.#h;g[0]=u;g[1]=d;g[2]=f;const p=CalRGBCS.#u;this.#w(this.whitePoint,g,p);const m=CalRGBCS.#h;this.#y(this.blackPoint,p,m);const b=CalRGBCS.#u;this.#x(CalRGBCS.#c,m,b);const y=CalRGBCS.#h;this.#f(CalRGBCS.#o,b,y);a[r]=255*this.#m(y[0]);a[r+1]=255*this.#m(y[1]);a[r+2]=255*this.#m(y[2])}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;++n){this.#i(e,t,r,i,o);t+=3;i+=3+s}}getOutputLength(e,t){return e*(3+t)/3|0}}class LabCS extends ColorSpace{constructor(e,t,a){super("Lab",3);if(!e)throw new FormatError("WhitePoint missing - required for color space Lab");[this.XW,this.YW,this.ZW]=e;[this.amin,this.amax,this.bmin,this.bmax]=a||[-100,100,-100,100];[this.XB,this.YB,this.ZB]=t||[0,0,0];if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError("Invalid WhitePoint components, no fallback available");if(this.XB<0||this.YB<0||this.ZB<0){info("Invalid BlackPoint, falling back to default");this.XB=this.YB=this.ZB=0}if(this.amin>this.amax||this.bmin>this.bmax){info("Invalid Range, falling back to defaults");this.amin=-100;this.amax=100;this.bmin=-100;this.bmax=100}}#S(e){return e>=6/29?e**3:108/841*(e-4/29)}#A(e,t,a,r){return a+e*(r-a)/t}#i(e,t,a,r,i){let n=e[t],s=e[t+1],o=e[t+2];if(!1!==a){n=this.#A(n,a,0,100);s=this.#A(s,a,this.amin,this.amax);o=this.#A(o,a,this.bmin,this.bmax)}s>this.amax?s=this.amax:s<this.amin&&(s=this.amin);o>this.bmax?o=this.bmax:o<this.bmin&&(o=this.bmin);const c=(n+16)/116,l=c+s/500,h=c-o/200,u=this.XW*this.#S(l),d=this.YW*this.#S(c),f=this.ZW*this.#S(h);let g,p,m;if(this.ZW<1){g=3.1339*u+-1.617*d+-.4906*f;p=-.9785*u+1.916*d+.0333*f;m=.072*u+-.229*d+1.4057*f}else{g=3.2406*u+-1.5372*d+-.4986*f;p=-.9689*u+1.8758*d+.0415*f;m=.0557*u+-.204*d+1.057*f}r[i]=255*Math.sqrt(g);r[i+1]=255*Math.sqrt(p);r[i+2]=255*Math.sqrt(m)}getRgbItem(e,t,a,r){this.#i(e,t,!1,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=(1<<n)-1;for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=3;i+=3+s}}getOutputLength(e,t){return e*(3+t)/3|0}isDefaultDecode(e,t){return!0}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!1)}}function fetchSync(e){const t=new XMLHttpRequest;t.open("GET",e,!1);t.responseType="arraybuffer";t.send(null);return t.response}class IccColorSpace extends ColorSpace{#k;#C;static#v=!0;static#F=null;static#I=new FinalizationRegistry((e=>{!function qcms_drop_transformer(e){Da.qcms_drop_transformer(e)}(e)}));constructor(e,t,a){if(!IccColorSpace.isUsable)throw new Error("No ICC color space support");super(t,a);let r;switch(a){case 1:r=Ea.Gray8;this.#C=(e,t,a)=>function qcms_convert_one(e,t,a){Da.qcms_convert_one(e,t,a)}(this.#k,255*e[t],a);break;case 3:r=Ea.RGB8;this.#C=(e,t,a)=>function qcms_convert_three(e,t,a,r,i){Da.qcms_convert_three(e,t,a,r,i)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],a);break;case 4:r=Ea.CMYK;this.#C=(e,t,a)=>function qcms_convert_four(e,t,a,r,i,n){Da.qcms_convert_four(e,t,a,r,i,n)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],255*e[t+3],a);break;default:throw new Error(`Unsupported number of components: ${a}`)}this.#k=function qcms_transformer_from_memory(e,t,a){const r=passArray8ToWasm0(e,Da.__wbindgen_malloc),i=Na;return Da.qcms_transformer_from_memory(r,i,t,a)>>>0}(e,r,Pa.Perceptual);if(!this.#k)throw new Error("Failed to create ICC color space");IccColorSpace.#I.register(this,this.#k)}getRgbHex(e,t){this.#C(e,t,!0);return QCMS._cssColor}getRgbItem(e,t,a,r){QCMS._destBuffer=a;QCMS._destOffset=r;QCMS._destLength=3;this.#C(e,t,!1);QCMS._destBuffer=null}getRgbBuffer(e,t,a,r,i,n,s){e=e.subarray(t,t+a*this.numComps);if(8!==n){const t=255/((1<<n)-1);for(let a=0,r=e.length;a<r;a++)e[a]*=t}QCMS._mustAddAlpha=s&&r.buffer===e.buffer;QCMS._destBuffer=r;QCMS._destOffset=i;QCMS._destLength=a*(3+s);!function qcms_convert_array(e,t){const a=passArray8ToWasm0(t,Da.__wbindgen_malloc),r=Na;Da.qcms_convert_array(e,a,r)}(this.#k,e);QCMS._mustAddAlpha=!1;QCMS._destBuffer=null}getOutputLength(e,t){return e/this.numComps*(3+t)|0}static setOptions({useWasm:e,useWorkerFetch:t,wasmUrl:a}){if(t){this.#v=e;this.#F=a}else this.#v=!1}static get isUsable(){let e=!1;if(this.#v)if(this.#F)try{this._module=function initSync(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module:e}=e):console.warn("using deprecated parameters for `initSync()`; pass a single object instead"));const t=__wbg_get_imports();e instanceof WebAssembly.Module||(e=new WebAssembly.Module(e));return __wbg_finalize_init(new WebAssembly.Instance(e,t),e)}({module:fetchSync(`${this.#F}qcms_bg.wasm`)});e=!!this._module;QCMS._memory=this._module.memory;QCMS._makeHexColor=Util.makeHexColor}catch(e){warn(`ICCBased color space: "${e}".`)}else warn("No ICC color space support due to missing `wasmUrl` API option");return shadow(this,"isUsable",e)}}class CmykICCBasedCS extends IccColorSpace{static#T;constructor(){super(new Uint8Array(fetchSync(`${CmykICCBasedCS.#T}CGATS001Compat-v2-micro.icc`)),"DeviceCMYK",4)}static setOptions({iccUrl:e}){this.#T=e}static get isUsable(){let e=!1;IccColorSpace.isUsable&&(this.#T?e=!0:warn("No CMYK ICC profile support due to missing `iccUrl` API option"));return shadow(this,"isUsable",e)}}class Stream extends BaseStream{constructor(e,t,a,r){super();this.bytes=e instanceof Uint8Array?e:new Uint8Array(e);this.start=t||0;this.pos=this.start;this.end=t+a||this.bytes.length;this.dict=r}get length(){return this.end-this.start}get isEmpty(){return 0===this.length}getByte(){return this.pos>=this.end?-1:this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e)return t.subarray(a,r);let i=a+e;i>r&&(i=r);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);return this.bytes.subarray(e,t)}reset(){this.pos=this.start}moveStart(){this.start=this.pos}makeSubStream(e,t,a=null){return new Stream(this.bytes.buffer,e,t,a)}}class StringStream extends Stream{constructor(e){super(stringToBytes(e))}}class NullStream extends Stream{constructor(){super(new Uint8Array(0))}}class ChunkedStream extends Stream{constructor(e,t,a){super(new Uint8Array(e),0,e,null);this.chunkSize=t;this._loadedChunks=new Set;this.numChunks=Math.ceil(e/t);this.manager=a;this.progressiveDataLength=0;this.lastSuccessfulEnsureByteChunk=-1}getMissingChunks(){const e=[];for(let t=0,a=this.numChunks;t<a;++t)this._loadedChunks.has(t)||e.push(t);return e}get numChunksLoaded(){return this._loadedChunks.size}get isDataLoaded(){return this.numChunksLoaded===this.numChunks}onReceiveData(e,t){const a=this.chunkSize;if(e%a!=0)throw new Error(`Bad begin offset: ${e}`);const r=e+t.byteLength;if(r%a!=0&&r!==this.bytes.length)throw new Error(`Bad end offset: ${r}`);this.bytes.set(new Uint8Array(t),e);const i=Math.floor(e/a),n=Math.floor((r-1)/a)+1;for(let e=i;e<n;++e)this._loadedChunks.add(e)}onReceiveProgressiveData(e){let t=this.progressiveDataLength;const a=Math.floor(t/this.chunkSize);this.bytes.set(new Uint8Array(e),t);t+=e.byteLength;this.progressiveDataLength=t;const r=t>=this.end?this.numChunks:Math.floor(t/this.chunkSize);for(let e=a;e<r;++e)this._loadedChunks.add(e)}ensureByte(e){if(e<this.progressiveDataLength)return;const t=Math.floor(e/this.chunkSize);if(!(t>this.numChunks)&&t!==this.lastSuccessfulEnsureByteChunk){if(!this._loadedChunks.has(t))throw new MissingDataException(e,e+1);this.lastSuccessfulEnsureByteChunk=t}}ensureRange(e,t){if(e>=t)return;if(t<=this.progressiveDataLength)return;const a=Math.floor(e/this.chunkSize);if(a>this.numChunks)return;const r=Math.min(Math.floor((t-1)/this.chunkSize)+1,this.numChunks);for(let i=a;i<r;++i)if(!this._loadedChunks.has(i))throw new MissingDataException(e,t)}nextEmptyChunk(e){const t=this.numChunks;for(let a=0;a<t;++a){const r=(e+a)%t;if(!this._loadedChunks.has(r))return r}return null}hasChunk(e){return this._loadedChunks.has(e)}getByte(){const e=this.pos;if(e>=this.end)return-1;e>=this.progressiveDataLength&&this.ensureByte(e);return this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e){r>this.progressiveDataLength&&this.ensureRange(a,r);return t.subarray(a,r)}let i=a+e;i>r&&(i=r);i>this.progressiveDataLength&&this.ensureRange(a,i);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);t>this.progressiveDataLength&&this.ensureRange(e,t);return this.bytes.subarray(e,t)}makeSubStream(e,t,a=null){t?e+t>this.progressiveDataLength&&this.ensureRange(e,e+t):e>=this.progressiveDataLength&&this.ensureByte(e);function ChunkedStreamSubstream(){}ChunkedStreamSubstream.prototype=Object.create(this);ChunkedStreamSubstream.prototype.getMissingChunks=function(){const e=this.chunkSize,t=Math.floor(this.start/e),a=Math.floor((this.end-1)/e)+1,r=[];for(let e=t;e<a;++e)this._loadedChunks.has(e)||r.push(e);return r};Object.defineProperty(ChunkedStreamSubstream.prototype,"isDataLoaded",{get(){return this.numChunksLoaded===this.numChunks||0===this.getMissingChunks().length},configurable:!0});const r=new ChunkedStreamSubstream;r.pos=r.start=e;r.end=e+t||this.end;r.dict=a;return r}getBaseStreams(){return[this]}}class ChunkedStreamManager{constructor(e,t){this.length=t.length;this.chunkSize=t.rangeChunkSize;this.stream=new ChunkedStream(this.length,this.chunkSize,this);this.pdfNetworkStream=e;this.disableAutoFetch=t.disableAutoFetch;this.msgHandler=t.msgHandler;this.currRequestId=0;this._chunksNeededByRequest=new Map;this._requestsByChunk=new Map;this._promisesByRequest=new Map;this.progressiveDataLength=0;this.aborted=!1;this._loadedStreamCapability=Promise.withResolvers()}sendRequest(e,t){const a=this.pdfNetworkStream.getRangeReader(e,t);a.isStreamingSupported||(a.onProgress=this.onProgress.bind(this));let r=[],i=0;return new Promise(((e,t)=>{const readChunk=({value:n,done:s})=>{try{if(s){const t=arrayBuffersToBytes(r);r=null;e(t);return}i+=n.byteLength;a.isStreamingSupported&&this.onProgress({loaded:i});r.push(n);a.read().then(readChunk,t)}catch(e){t(e)}};a.read().then(readChunk,t)})).then((t=>{this.aborted||this.onReceiveData({chunk:t,begin:e})}))}requestAllChunks(e=!1){if(!e){const e=this.stream.getMissingChunks();this._requestChunks(e)}return this._loadedStreamCapability.promise}_requestChunks(e){const t=this.currRequestId++,a=new Set;this._chunksNeededByRequest.set(t,a);for(const t of e)this.stream.hasChunk(t)||a.add(t);if(0===a.size)return Promise.resolve();const r=Promise.withResolvers();this._promisesByRequest.set(t,r);const i=[];for(const e of a){let a=this._requestsByChunk.get(e);if(!a){a=[];this._requestsByChunk.set(e,a);i.push(e)}a.push(t)}if(i.length>0){const e=this.groupChunks(i);for(const t of e){const e=t.beginChunk*this.chunkSize,a=Math.min(t.endChunk*this.chunkSize,this.length);this.sendRequest(e,a).catch(r.reject)}}return r.promise.catch((e=>{if(!this.aborted)throw e}))}getStream(){return this.stream}requestRange(e,t){t=Math.min(t,this.length);const a=this.getBeginChunk(e),r=this.getEndChunk(t),i=[];for(let e=a;e<r;++e)i.push(e);return this._requestChunks(i)}requestRanges(e=[]){const t=[];for(const a of e){const e=this.getBeginChunk(a.begin),r=this.getEndChunk(a.end);for(let a=e;a<r;++a)t.includes(a)||t.push(a)}t.sort(((e,t)=>e-t));return this._requestChunks(t)}groupChunks(e){const t=[];let a=-1,r=-1;for(let i=0,n=e.length;i<n;++i){const n=e[i];a<0&&(a=n);if(r>=0&&r+1!==n){t.push({beginChunk:a,endChunk:r+1});a=n}i+1===e.length&&t.push({beginChunk:a,endChunk:n+1});r=n}return t}onProgress(e){this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize+e.loaded,total:this.length})}onReceiveData(e){const t=e.chunk,a=void 0===e.begin,r=a?this.progressiveDataLength:e.begin,i=r+t.byteLength,n=Math.floor(r/this.chunkSize),s=i<this.length?Math.floor(i/this.chunkSize):Math.ceil(i/this.chunkSize);if(a){this.stream.onReceiveProgressiveData(t);this.progressiveDataLength=i}else this.stream.onReceiveData(r,t);this.stream.isDataLoaded&&this._loadedStreamCapability.resolve(this.stream);const o=[];for(let e=n;e<s;++e){const t=this._requestsByChunk.get(e);if(t){this._requestsByChunk.delete(e);for(const a of t){const t=this._chunksNeededByRequest.get(a);t.has(e)&&t.delete(e);t.size>0||o.push(a)}}}if(!this.disableAutoFetch&&0===this._requestsByChunk.size){let e;if(1===this.stream.numChunksLoaded){const t=this.stream.numChunks-1;this.stream.hasChunk(t)||(e=t)}else e=this.stream.nextEmptyChunk(s);Number.isInteger(e)&&this._requestChunks([e])}for(const e of o){const t=this._promisesByRequest.get(e);this._promisesByRequest.delete(e);t.resolve()}this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize,total:this.length})}onError(e){this._loadedStreamCapability.reject(e)}getBeginChunk(e){return Math.floor(e/this.chunkSize)}getEndChunk(e){return Math.floor((e-1)/this.chunkSize)+1}abort(e){this.aborted=!0;this.pdfNetworkStream?.cancelAllRequests(e);for(const t of this._promisesByRequest.values())t.reject(e)}}function convertToRGBA(e){switch(e.kind){case k:return convertBlackAndWhiteToRGBA(e);case C:return function convertRGBToRGBA({src:e,srcPos:t=0,dest:a,destPos:r=0,width:i,height:n}){let s=0;const o=i*n*3,c=o>>2,l=new Uint32Array(e.buffer,t,c);if(FeatureTest.isLittleEndian){for(;s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=4278190080|e;a[r+1]=e>>>24|t<<8|4278190080;a[r+2]=t>>>16|i<<16|4278190080;a[r+3]=i>>>8|4278190080}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]|e[i+1]<<8|e[i+2]<<16|4278190080}else{for(;s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=255|e;a[r+1]=e<<24|t>>>8|255;a[r+2]=t<<16|i>>>16|255;a[r+3]=i<<8|255}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]<<24|e[i+1]<<16|e[i+2]<<8|255}return{srcPos:t+o,destPos:r}}(e)}return null}function convertBlackAndWhiteToRGBA({src:e,srcPos:t=0,dest:a,width:r,height:i,nonBlackColor:n=4294967295,inverseDecode:s=!1}){const o=FeatureTest.isLittleEndian?4278190080:255,[c,l]=s?[n,o]:[o,n],h=r>>3,u=7&r,d=e.length;a=new Uint32Array(a.buffer);let f=0;for(let r=0;r<i;r++){for(const r=t+h;t<r;t++){const r=t<d?e[t]:255;a[f++]=128&r?l:c;a[f++]=64&r?l:c;a[f++]=32&r?l:c;a[f++]=16&r?l:c;a[f++]=8&r?l:c;a[f++]=4&r?l:c;a[f++]=2&r?l:c;a[f++]=1&r?l:c}if(0===u)continue;const r=t<d?e[t++]:255;for(let e=0;e<u;e++)a[f++]=r&1<<7-e?l:c}return{srcPos:t,destPos:f}}class ImageResizer{static#O=2048;static#M=FeatureTest.isImageDecoderSupported;constructor(e,t){this._imgData=e;this._isMask=t}static get canUseImageDecoder(){return shadow(this,"canUseImageDecoder",this.#M?ImageDecoder.isTypeSupported("image/bmp"):Promise.resolve(!1))}static needsToBeResized(e,t){if(e<=this.#O&&t<=this.#O)return!1;const{MAX_DIM:a}=this;if(e>a||t>a)return!0;const r=e*t;if(this._hasMaxArea)return r>this.MAX_AREA;if(r<this.#O**2)return!1;if(this._areGoodDims(e,t)){this.#O=Math.max(this.#O,Math.floor(Math.sqrt(e*t)));return!1}this.#O=this._guessMax(this.#O,a,128,0);return r>(this.MAX_AREA=this.#O**2)}static getReducePowerForJPX(e,t,a){const r=e*t,i=2**30/(4*a);if(!this.needsToBeResized(e,t))return r>i?Math.ceil(Math.log2(r/i)):0;const{MAX_DIM:n,MAX_AREA:s}=this,o=Math.max(e/n,t/n,Math.sqrt(r/Math.min(i,s)));return Math.ceil(Math.log2(o))}static get MAX_DIM(){return shadow(this,"MAX_DIM",this._guessMax(2048,65537,0,1))}static get MAX_AREA(){this._hasMaxArea=!0;return shadow(this,"MAX_AREA",this._guessMax(this.#O,this.MAX_DIM,128,0)**2)}static set MAX_AREA(e){if(e>=0){this._hasMaxArea=!0;shadow(this,"MAX_AREA",e)}}static setOptions({canvasMaxAreaInBytes:e=-1,isImageDecoderSupported:t=!1}){this._hasMaxArea||(this.MAX_AREA=e>>2);this.#M=t}static _areGoodDims(e,t){try{const a=new OffscreenCanvas(e,t),r=a.getContext("2d");r.fillRect(0,0,1,1);const i=r.getImageData(0,0,1,1).data[3];a.width=a.height=1;return 0!==i}catch{return!1}}static _guessMax(e,t,a,r){for(;e+a+1<t;){const a=Math.floor((e+t)/2),i=r||a;this._areGoodDims(a,i)?e=a:t=a}return e}static async createImage(e,t=!1){return new ImageResizer(e,t)._createImage()}async _createImage(){const{_imgData:e}=this,{width:t,height:a}=e;if(t*a*4>va){const e=this.#D();if(e)return e}const r=this._encodeBMP();let i,n;if(await ImageResizer.canUseImageDecoder){i=new ImageDecoder({data:r,type:"image/bmp",preferAnimation:!1,transfer:[r.buffer]});n=i.decode().catch((e=>{warn(`BMP image decoding failed: ${e}`);return createImageBitmap(new Blob([this._encodeBMP().buffer],{type:"image/bmp"}))})).finally((()=>{i.close()}))}else n=createImageBitmap(new Blob([r.buffer],{type:"image/bmp"}));const{MAX_AREA:s,MAX_DIM:o}=ImageResizer,c=Math.max(t/o,a/o,Math.sqrt(t*a/s)),l=Math.max(c,2),h=Math.round(10*(c+1.25))/10/l,u=Math.floor(Math.log2(h)),d=new Array(u+2).fill(2);d[0]=l;d.splice(-1,1,h/(1<<u));let f=t,g=a;const p=await n;let m=p.image||p;for(const e of d){const t=f,a=g;f=Math.floor(f/e)-1;g=Math.floor(g/e)-1;const r=new OffscreenCanvas(f,g);r.getContext("2d").drawImage(m,0,0,t,a,0,0,f,g);m.close();m=r.transferToImageBitmap()}e.data=null;e.bitmap=m;e.width=f;e.height=g;return e}#D(){const{_imgData:e}=this,{data:t,width:a,height:r,kind:i}=e,n=a*r*4,s=Math.ceil(Math.log2(n/va)),o=a>>s,c=r>>s;let l,h=r;try{l=new Uint8Array(n)}catch{let e=Math.floor(Math.log2(n+1));for(;;)try{l=new Uint8Array(2**e-1);break}catch{e-=1}h=Math.floor((2**e-1)/(4*a));const t=a*h*4;t<l.length&&(l=new Uint8Array(t))}const u=new Uint32Array(l.buffer),d=new Uint32Array(o*c);let f=0,g=0;const p=Math.ceil(r/h),m=r%h==0?r:r%h;for(let e=0;e<p;e++){const r=e<p-1?h:m;({srcPos:f}=convertToRGBA({kind:i,src:t,dest:u,width:a,height:r,inverseDecode:this._isMask,srcPos:f}));for(let e=0,t=r>>s;e<t;e++){const t=u.subarray((e<<s)*a);for(let e=0;e<o;e++)d[g++]=t[e<<s]}}if(ImageResizer.needsToBeResized(o,c)){e.data=d;e.width=o;e.height=c;e.kind=v;return null}const b=new OffscreenCanvas(o,c);b.getContext("2d",{willReadFrequently:!0}).putImageData(new ImageData(new Uint8ClampedArray(d.buffer),o,c),0,0);e.data=null;e.bitmap=b.transferToImageBitmap();e.width=o;e.height=c;return e}_encodeBMP(){const{width:e,height:t,kind:a}=this._imgData;let r,i=this._imgData.data,n=new Uint8Array(0),s=n,o=0;switch(a){case k:{r=1;n=new Uint8Array(this._isMask?[255,255,255,255,0,0,0,0]:[0,0,0,0,255,255,255,255]);const a=e+7>>3,s=a+3&-4;if(a!==s){const e=new Uint8Array(s*t);let r=0;for(let n=0,o=t*a;n<o;n+=a,r+=s)e.set(i.subarray(n,n+a),r);i=e}break}case C:r=24;if(3&e){const a=3*e,r=a+3&-4,n=r-a,s=new Uint8Array(r*t);let o=0;for(let e=0,r=t*a;e<r;e+=a){const t=i.subarray(e,e+a);for(let e=0;e<a;e+=3){s[o++]=t[e+2];s[o++]=t[e+1];s[o++]=t[e]}o+=n}i=s}else for(let e=0,t=i.length;e<t;e+=3){const t=i[e];i[e]=i[e+2];i[e+2]=t}break;case v:r=32;o=3;s=new Uint8Array(68);const a=new DataView(s.buffer);if(FeatureTest.isLittleEndian){a.setUint32(0,255,!0);a.setUint32(4,65280,!0);a.setUint32(8,16711680,!0);a.setUint32(12,4278190080,!0)}else{a.setUint32(0,4278190080,!0);a.setUint32(4,16711680,!0);a.setUint32(8,65280,!0);a.setUint32(12,255,!0)}break;default:throw new Error("invalid format")}let c=0;const l=40+s.length,h=14+l+n.length+i.length,u=new Uint8Array(h),d=new DataView(u.buffer);d.setUint16(c,19778,!0);c+=2;d.setUint32(c,h,!0);c+=4;d.setUint32(c,0,!0);c+=4;d.setUint32(c,14+l+n.length,!0);c+=4;d.setUint32(c,l,!0);c+=4;d.setInt32(c,e,!0);c+=4;d.setInt32(c,-t,!0);c+=4;d.setUint16(c,1,!0);c+=2;d.setUint16(c,r,!0);c+=2;d.setUint32(c,o,!0);c+=4;d.setUint32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setUint32(c,n.length/4,!0);c+=4;d.setUint32(c,0,!0);c+=4;u.set(s,c);c+=s.length;u.set(n,c);c+=n.length;u.set(i,c);return u}}const La=new Uint8Array(0);class DecodeStream extends BaseStream{constructor(e){super();this._rawMinBufferLength=e||0;this.pos=0;this.bufferLength=0;this.eof=!1;this.buffer=La;this.minBufferLength=512;if(e)for(;this.minBufferLength<e;)this.minBufferLength*=2}get isEmpty(){for(;!this.eof&&0===this.bufferLength;)this.readBlock();return 0===this.bufferLength}ensureBuffer(e){const t=this.buffer;if(e<=t.byteLength)return t;let a=this.minBufferLength;for(;a<e;)a*=2;const r=new Uint8Array(a);r.set(t);return this.buffer=r}getByte(){const e=this.pos;for(;this.bufferLength<=e;){if(this.eof)return-1;this.readBlock()}return this.buffer[this.pos++]}getBytes(e,t=null){const a=this.pos;let r;if(e){this.ensureBuffer(a+e);r=a+e;for(;!this.eof&&this.bufferLength<r;)this.readBlock(t);const i=this.bufferLength;r>i&&(r=i)}else{for(;!this.eof;)this.readBlock(t);r=this.bufferLength}this.pos=r;return this.buffer.subarray(a,r)}async getImageData(e,t){if(!this.canAsyncDecodeImageFromBuffer)return this.isAsyncDecoder?this.decodeImage(null,t):this.getBytes(e,t);const a=await this.stream.asyncGetBytes();return this.decodeImage(a,t)}reset(){this.pos=0}makeSubStream(e,t,a=null){if(void 0===t)for(;!this.eof;)this.readBlock();else{const a=e+t;for(;this.bufferLength<=a&&!this.eof;)this.readBlock()}return new Stream(this.buffer,e,t,a)}getBaseStreams(){return this.str?this.str.getBaseStreams():null}}class StreamsSequenceStream extends DecodeStream{constructor(e,t=null){e=e.filter((e=>e instanceof BaseStream));let a=0;for(const t of e)a+=t instanceof DecodeStream?t._rawMinBufferLength:t.length;super(a);this.streams=e;this._onError=t}readBlock(){const e=this.streams;if(0===e.length){this.eof=!0;return}const t=e.shift();let a;try{a=t.getBytes()}catch(e){if(this._onError){this._onError(e,t.dict?.objId);return}throw e}const r=this.bufferLength,i=r+a.length;this.ensureBuffer(i).set(a,r);this.bufferLength=i}getBaseStreams(){const e=[];for(const t of this.streams){const a=t.getBaseStreams();a&&e.push(...a)}return e.length>0?e:null}}class ColorSpaceUtils{static parse({cs:e,xref:t,resources:a=null,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n,asyncIfNotCached:s=!1}){const o={xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n};let c,l,h;if(e instanceof Ref){l=e;const a=i.getByRef(l)||n.getByRef(l);if(a)return a;e=t.fetch(e)}if(e instanceof Name){c=e.name;const t=n.getByName(c);if(t)return t}try{h=this.#B(e,o)}catch(e){if(s&&!(e instanceof MissingDataException))return Promise.reject(e);throw e}if(c||l){n.set(c,l,h);l&&i.set(null,l,h)}return s?Promise.resolve(h):h}static#R(e,t){const{globalColorSpaceCache:a}=t;let r;if(e instanceof Ref){r=e;const t=a.getByRef(r);if(t)return t}const i=this.#B(e,t);r&&a.set(null,r,i);return i}static#B(e,t){const{xref:a,resources:r,pdfFunctionFactory:i,globalColorSpaceCache:n}=t;if((e=a.fetchIfRef(e))instanceof Name)switch(e.name){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"DeviceRGBA":return this.rgba;case"CMYK":case"DeviceCMYK":return this.cmyk;case"Pattern":return new PatternCS(null);default:if(r instanceof Dict){const a=r.get("ColorSpace");if(a instanceof Dict){const r=a.get(e.name);if(r){if(r instanceof Name)return this.#B(r,t);e=r;break}}}warn(`Unrecognized ColorSpace: ${e.name}`);return this.gray}if(Array.isArray(e)){const r=a.fetchIfRef(e[0]).name;let s,o,c,l,h,u;switch(r){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"CMYK":case"DeviceCMYK":return this.cmyk;case"CalGray":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.get("Gamma");return new CalGrayCS(l,h,u);case"CalRGB":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.getArray("Gamma");const d=s.getArray("Matrix");return new CalRGBCS(l,h,u,d);case"ICCBased":const f=e[1]instanceof Ref;if(f){const t=n.getByRef(e[1]);if(t)return t}const g=a.fetchIfRef(e[1]),p=g.dict;o=p.get("N");if(IccColorSpace.isUsable)try{const t=new IccColorSpace(g.getBytes(),"ICCBased",o);f&&n.set(null,e[1],t);return t}catch(t){if(t instanceof MissingDataException)throw t;warn(`ICCBased color space (${e[1]}): "${t}".`)}const m=p.getRaw("Alternate");if(m){const e=this.#R(m,t);if(e.numComps===o)return e;warn("ICCBased color space: Ignoring incorrect /Alternate entry.")}if(1===o)return this.gray;if(3===o)return this.rgb;if(4===o)return this.cmyk;break;case"Pattern":c=e[1]||null;c&&(c=this.#R(c,t));return new PatternCS(c);case"I":case"Indexed":c=this.#R(e[1],t);const b=MathClamp(a.fetchIfRef(e[2]),0,255),y=a.fetchIfRef(e[3]);return new IndexedCS(c,b,y);case"Separation":case"DeviceN":const w=a.fetchIfRef(e[1]);o=Array.isArray(w)?w.length:1;c=this.#R(e[2],t);const x=i.create(e[3]);return new AlternateCS(o,c,x);case"Lab":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");const S=s.getArray("Range");return new LabCS(l,h,S);default:warn(`Unimplemented ColorSpace object: ${r}`);return this.gray}}warn(`Unrecognized ColorSpace object: ${e}`);return this.gray}static get gray(){return shadow(this,"gray",new DeviceGrayCS)}static get rgb(){return shadow(this,"rgb",new DeviceRgbCS)}static get rgba(){return shadow(this,"rgba",new DeviceRgbaCS)}static get cmyk(){if(CmykICCBasedCS.isUsable)try{return shadow(this,"cmyk",new CmykICCBasedCS)}catch{warn("CMYK fallback: DeviceCMYK")}return shadow(this,"cmyk",new DeviceCmykCS)}}class JpegError extends fa{constructor(e){super(e,"JpegError")}}class DNLMarkerError extends fa{constructor(e,t){super(e,"DNLMarkerError");this.scanLines=t}}class EOIMarkerError extends fa{constructor(e){super(e,"EOIMarkerError")}}const ja=new Uint8Array([0,1,8,16,9,2,3,10,17,24,32,25,18,11,4,5,12,19,26,33,40,48,41,34,27,20,13,6,7,14,21,28,35,42,49,56,57,50,43,36,29,22,15,23,30,37,44,51,58,59,52,45,38,31,39,46,53,60,61,54,47,55,62,63]),_a=4017,Ua=799,Xa=3406,qa=2276,Ha=1567,Wa=3784,za=5793,$a=2896;function buildHuffmanTable(e,t){let a,r,i=0,n=16;for(;n>0&&!e[n-1];)n--;const s=[{children:[],index:0}];let o,c=s[0];for(a=0;a<n;a++){for(r=0;r<e[a];r++){c=s.pop();c.children[c.index]=t[i];for(;c.index>0;)c=s.pop();c.index++;s.push(c);for(;s.length<=a;){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}i++}if(a+1<n){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}}return s[0].children}function getBlockBufferOffset(e,t,a){return 64*((e.blocksPerLine+1)*t+a)}function decodeScan(e,t,a,r,i,n,s,o,c,l=!1){const h=a.mcusPerLine,u=a.progressive,d=t;let f=0,g=0;function readBit(){if(g>0){g--;return f>>g&1}f=e[t++];if(255===f){const r=e[t++];if(r){if(220===r&&l){const r=readUint16(e,t+=2);t+=2;if(r>0&&r!==a.scanLines)throw new DNLMarkerError("Found DNL marker (0xFFDC) while parsing scan data",r)}else if(217===r){if(l){const e=y*(8===a.precision?8:0);if(e>0&&Math.round(a.scanLines/e)>=5)throw new DNLMarkerError("Found EOI marker (0xFFD9) while parsing scan data, possibly caused by incorrect `scanLines` parameter",e)}throw new EOIMarkerError("Found EOI marker (0xFFD9) while parsing scan data")}throw new JpegError(`unexpected marker ${(f<<8|r).toString(16)}`)}}g=7;return f>>>7}function decodeHuffman(e){let t=e;for(;;){t=t[readBit()];switch(typeof t){case"number":return t;case"object":continue}throw new JpegError("invalid huffman sequence")}}function receive(e){let t=0;for(;e>0;){t=t<<1|readBit();e--}return t}function receiveAndExtend(e){if(1===e)return 1===readBit()?1:-1;const t=receive(e);return t>=1<<e-1?t:t+(-1<<e)+1}let p=0;let m,b=0;let y=0;function decodeMcu(e,t,a,r,i){const n=a%h;y=(a/h|0)*e.v+r;const s=n*e.h+i;t(e,getBlockBufferOffset(e,y,s))}function decodeBlock(e,t,a){y=a/e.blocksPerLine|0;const r=a%e.blocksPerLine;t(e,getBlockBufferOffset(e,y,r))}const w=r.length;let x,S,k,C,v,F;F=u?0===n?0===o?function decodeDCFirst(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a)<<c;e.blockData[t]=e.pred+=r}:function decodeDCSuccessive(e,t){e.blockData[t]|=readBit()<<c}:0===o?function decodeACFirst(e,t){if(p>0){p--;return}let a=n;const r=s;for(;a<=r;){const r=decodeHuffman(e.huffmanTableAC),i=15&r,n=r>>4;if(0===i){if(n<15){p=receive(n)+(1<<n)-1;break}a+=16;continue}a+=n;const s=ja[a];e.blockData[t+s]=receiveAndExtend(i)*(1<<c);a++}}:function decodeACSuccessive(e,t){let a=n;const r=s;let i,o,l=0;for(;a<=r;){const r=t+ja[a],n=e.blockData[r]<0?-1:1;switch(b){case 0:o=decodeHuffman(e.huffmanTableAC);i=15&o;l=o>>4;if(0===i)if(l<15){p=receive(l)+(1<<l);b=4}else{l=16;b=1}else{if(1!==i)throw new JpegError("invalid ACn encoding");m=receiveAndExtend(i);b=l?2:3}continue;case 1:case 2:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{l--;0===l&&(b=2===b?3:0)}break;case 3:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{e.blockData[r]=m<<c;b=0}break;case 4:e.blockData[r]&&(e.blockData[r]+=n*(readBit()<<c))}a++}if(4===b){p--;0===p&&(b=0)}}:function decodeBaseline(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a);e.blockData[t]=e.pred+=r;let i=1;for(;i<64;){const a=decodeHuffman(e.huffmanTableAC),r=15&a,n=a>>4;if(0===r){if(n<15)break;i+=16;continue}i+=n;const s=ja[i];e.blockData[t+s]=receiveAndExtend(r);i++}};let T,O=0;const M=1===w?r[0].blocksPerLine*r[0].blocksPerColumn:h*a.mcusPerColumn;let D,R;for(;O<=M;){const a=i?Math.min(M-O,i):M;if(a>0){for(S=0;S<w;S++)r[S].pred=0;p=0;if(1===w){x=r[0];for(v=0;v<a;v++){decodeBlock(x,F,O);O++}}else for(v=0;v<a;v++){for(S=0;S<w;S++){x=r[S];D=x.h;R=x.v;for(k=0;k<R;k++)for(C=0;C<D;C++)decodeMcu(x,F,O,k,C)}O++}}g=0;T=findNextFileMarker(e,t);if(!T)break;if(T.invalid){warn(`decodeScan - ${a>0?"unexpected":"excessive"} MCU data, current marker is: ${T.invalid}`);t=T.offset}if(!(T.marker>=65488&&T.marker<=65495))break;t+=2}return t-d}function quantizeAndInverse(e,t,a){const r=e.quantizationTable,i=e.blockData;let n,s,o,c,l,h,u,d,f,g,p,m,b,y,w,x,S;if(!r)throw new JpegError("missing required Quantization Table.");for(let e=0;e<64;e+=8){f=i[t+e];g=i[t+e+1];p=i[t+e+2];m=i[t+e+3];b=i[t+e+4];y=i[t+e+5];w=i[t+e+6];x=i[t+e+7];f*=r[e];if(g|p|m|b|y|w|x){g*=r[e+1];p*=r[e+2];m*=r[e+3];b*=r[e+4];y*=r[e+5];w*=r[e+6];x*=r[e+7];n=za*f+128>>8;s=za*b+128>>8;o=p;c=w;l=$a*(g-x)+128>>8;d=$a*(g+x)+128>>8;h=m<<4;u=y<<4;n=n+s+1>>1;s=n-s;S=o*Wa+c*Ha+128>>8;o=o*Ha-c*Wa+128>>8;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;a[e]=n+d;a[e+7]=n-d;a[e+1]=s+u;a[e+6]=s-u;a[e+2]=o+h;a[e+5]=o-h;a[e+3]=c+l;a[e+4]=c-l}else{S=za*f+512>>10;a[e]=S;a[e+1]=S;a[e+2]=S;a[e+3]=S;a[e+4]=S;a[e+5]=S;a[e+6]=S;a[e+7]=S}}for(let e=0;e<8;++e){f=a[e];g=a[e+8];p=a[e+16];m=a[e+24];b=a[e+32];y=a[e+40];w=a[e+48];x=a[e+56];if(g|p|m|b|y|w|x){n=za*f+2048>>12;s=za*b+2048>>12;o=p;c=w;l=$a*(g-x)+2048>>12;d=$a*(g+x)+2048>>12;h=m;u=y;n=4112+(n+s+1>>1);s=n-s;S=o*Wa+c*Ha+2048>>12;o=o*Ha-c*Wa+2048>>12;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;f=n+d;x=n-d;g=s+u;w=s-u;p=o+h;y=o-h;m=c+l;b=c-l;f<16?f=0:f>=4080?f=255:f>>=4;g<16?g=0:g>=4080?g=255:g>>=4;p<16?p=0:p>=4080?p=255:p>>=4;m<16?m=0:m>=4080?m=255:m>>=4;b<16?b=0:b>=4080?b=255:b>>=4;y<16?y=0:y>=4080?y=255:y>>=4;w<16?w=0:w>=4080?w=255:w>>=4;x<16?x=0:x>=4080?x=255:x>>=4;i[t+e]=f;i[t+e+8]=g;i[t+e+16]=p;i[t+e+24]=m;i[t+e+32]=b;i[t+e+40]=y;i[t+e+48]=w;i[t+e+56]=x}else{S=za*f+8192>>14;S=S<-2040?0:S>=2024?255:S+2056>>4;i[t+e]=S;i[t+e+8]=S;i[t+e+16]=S;i[t+e+24]=S;i[t+e+32]=S;i[t+e+40]=S;i[t+e+48]=S;i[t+e+56]=S}}}function buildComponentData(e,t){const a=t.blocksPerLine,r=t.blocksPerColumn,i=new Int16Array(64);for(let e=0;e<r;e++)for(let r=0;r<a;r++){quantizeAndInverse(t,getBlockBufferOffset(t,e,r),i)}return t.blockData}function findNextFileMarker(e,t,a=t){const r=e.length-1;let i=a<t?a:t;if(t>=r)return null;const n=readUint16(e,t);if(n>=65472&&n<=65534)return{invalid:null,marker:n,offset:t};let s=readUint16(e,i);for(;!(s>=65472&&s<=65534);){if(++i>=r)return null;s=readUint16(e,i)}return{invalid:n.toString(16),marker:s,offset:i}}function prepareComponents(e){const t=Math.ceil(e.samplesPerLine/8/e.maxH),a=Math.ceil(e.scanLines/8/e.maxV);for(const r of e.components){const i=Math.ceil(Math.ceil(e.samplesPerLine/8)*r.h/e.maxH),n=Math.ceil(Math.ceil(e.scanLines/8)*r.v/e.maxV),s=t*r.h,o=64*(a*r.v)*(s+1);r.blockData=new Int16Array(o);r.blocksPerLine=i;r.blocksPerColumn=n}e.mcusPerLine=t;e.mcusPerColumn=a}function readDataBlock(e,t){const a=readUint16(e,t);let r=(t+=2)+a-2;const i=findNextFileMarker(e,r,t);if(i?.invalid){warn("readDataBlock - incorrect length, current marker is: "+i.invalid);r=i.offset}const n=e.subarray(t,r);return{appData:n,oldOffset:t,newOffset:t+n.length}}function skipData(e,t){const a=readUint16(e,t),r=(t+=2)+a-2,i=findNextFileMarker(e,r,t);return i?.invalid?i.offset:r}class JpegImage{constructor({decodeTransform:e=null,colorTransform:t=-1}={}){this._decodeTransform=e;this._colorTransform=t}static canUseImageDecoder(e,t=-1){let a=null,r=0,i=null,n=readUint16(e,r);r+=2;if(65496!==n)throw new JpegError("SOI not found");n=readUint16(e,r);r+=2;e:for(;65497!==n;){switch(n){case 65505:const{appData:t,oldOffset:s,newOffset:o}=readDataBlock(e,r);r=o;if(69===t[0]&&120===t[1]&&105===t[2]&&102===t[3]&&0===t[4]&&0===t[5]){if(a)throw new JpegError("Duplicate EXIF-blocks found.");a={exifStart:s+6,exifEnd:o}}n=readUint16(e,r);r+=2;continue;case 65472:case 65473:case 65474:i=e[r+7];break e;case 65535:255!==e[r]&&r--}r=skipData(e,r);n=readUint16(e,r);r+=2}return 4===i||3===i&&0===t?null:a||{}}parse(e,{dnlScanLines:t=null}={}){let a,r,i=0,n=null,s=null,o=0;const c=[],l=[],h=[];let u=readUint16(e,i);i+=2;if(65496!==u)throw new JpegError("SOI not found");u=readUint16(e,i);i+=2;e:for(;65497!==u;){let d,f,g;switch(u){case 65504:case 65505:case 65506:case 65507:case 65508:case 65509:case 65510:case 65511:case 65512:case 65513:case 65514:case 65515:case 65516:case 65517:case 65518:case 65519:case 65534:const{appData:p,newOffset:m}=readDataBlock(e,i);i=m;65504===u&&74===p[0]&&70===p[1]&&73===p[2]&&70===p[3]&&0===p[4]&&(n={version:{major:p[5],minor:p[6]},densityUnits:p[7],xDensity:p[8]<<8|p[9],yDensity:p[10]<<8|p[11],thumbWidth:p[12],thumbHeight:p[13],thumbData:p.subarray(14,14+3*p[12]*p[13])});65518===u&&65===p[0]&&100===p[1]&&111===p[2]&&98===p[3]&&101===p[4]&&(s={version:p[5]<<8|p[6],flags0:p[7]<<8|p[8],flags1:p[9]<<8|p[10],transformCode:p[11]});break;case 65499:const b=readUint16(e,i);i+=2;const y=b+i-2;let w;for(;i<y;){const t=e[i++],a=new Uint16Array(64);if(t>>4){if(t>>4!=1)throw new JpegError("DQT - invalid table spec");for(f=0;f<64;f++){w=ja[f];a[w]=readUint16(e,i);i+=2}}else for(f=0;f<64;f++){w=ja[f];a[w]=e[i++]}c[15&t]=a}break;case 65472:case 65473:case 65474:if(a)throw new JpegError("Only single frame JPEGs supported");i+=2;a={};a.extended=65473===u;a.progressive=65474===u;a.precision=e[i++];const x=readUint16(e,i);i+=2;a.scanLines=t||x;a.samplesPerLine=readUint16(e,i);i+=2;a.components=[];a.componentIds={};const S=e[i++];let k=0,C=0;for(d=0;d<S;d++){const t=e[i],r=e[i+1]>>4,n=15&e[i+1];k<r&&(k=r);C<n&&(C=n);const s=e[i+2];g=a.components.push({h:r,v:n,quantizationId:s,quantizationTable:null});a.componentIds[t]=g-1;i+=3}a.maxH=k;a.maxV=C;prepareComponents(a);break;case 65476:const v=readUint16(e,i);i+=2;for(d=2;d<v;){const t=e[i++],a=new Uint8Array(16);let r=0;for(f=0;f<16;f++,i++)r+=a[f]=e[i];const n=new Uint8Array(r);for(f=0;f<r;f++,i++)n[f]=e[i];d+=17+r;(t>>4?l:h)[15&t]=buildHuffmanTable(a,n)}break;case 65501:i+=2;r=readUint16(e,i);i+=2;break;case 65498:const F=1==++o&&!t;i+=2;const T=e[i++],O=[];for(d=0;d<T;d++){const t=e[i++],r=a.componentIds[t],n=a.components[r];n.index=t;const s=e[i++];n.huffmanTableDC=h[s>>4];n.huffmanTableAC=l[15&s];O.push(n)}const M=e[i++],D=e[i++],R=e[i++];try{i+=decodeScan(e,i,a,O,r,M,D,R>>4,15&R,F)}catch(t){if(t instanceof DNLMarkerError){warn(`${t.message} -- attempting to re-parse the JPEG image.`);return this.parse(e,{dnlScanLines:t.scanLines})}if(t instanceof EOIMarkerError){warn(`${t.message} -- ignoring the rest of the image data.`);break e}throw t}break;case 65500:i+=4;break;case 65535:255!==e[i]&&i--;break;default:const N=findNextFileMarker(e,i-2,i-3);if(N?.invalid){warn("JpegImage.parse - unexpected data, current marker is: "+N.invalid);i=N.offset;break}if(!N||i>=e.length-1){warn("JpegImage.parse - reached the end of the image data without finding an EOI marker (0xFFD9).");break e}throw new JpegError("JpegImage.parse - unknown marker: "+u.toString(16))}u=readUint16(e,i);i+=2}if(!a)throw new JpegError("JpegImage.parse - no frame data found.");this.width=a.samplesPerLine;this.height=a.scanLines;this.jfif=n;this.adobe=s;this.components=[];for(const e of a.components){const t=c[e.quantizationId];t&&(e.quantizationTable=t);this.components.push({index:e.index,output:buildComponentData(0,e),scaleX:e.h/a.maxH,scaleY:e.v/a.maxV,blocksPerLine:e.blocksPerLine,blocksPerColumn:e.blocksPerColumn})}this.numComponents=this.components.length}_getLinearizedBlockData(e,t,a=!1){const r=this.width/e,i=this.height/t;let n,s,o,c,l,h,u,d,f,g,p,m=0;const b=this.components.length,y=e*t*b,w=new Uint8ClampedArray(y),x=new Uint32Array(e),S=4294967288;let k;for(u=0;u<b;u++){n=this.components[u];s=n.scaleX*r;o=n.scaleY*i;m=u;p=n.output;c=n.blocksPerLine+1<<3;if(s!==k){for(l=0;l<e;l++){d=0|l*s;x[l]=(d&S)<<3|7&d}k=s}for(h=0;h<t;h++){d=0|h*o;g=c*(d&S)|(7&d)<<3;for(l=0;l<e;l++){w[m]=p[g+x[l]];m+=b}}}let C=this._decodeTransform;a||4!==b||C||(C=new Int32Array([-256,255,-256,255,-256,255,-256,255]));if(C)for(u=0;u<y;)for(d=0,f=0;d<b;d++,u++,f+=2)w[u]=(w[u]*C[f]>>8)+C[f+1];return w}get _isColorConversionNeeded(){return this.adobe?!!this.adobe.transformCode:3===this.numComponents?0!==this._colorTransform&&(82!==this.components[0].index||71!==this.components[1].index||66!==this.components[2].index):1===this._colorTransform}_convertYccToRgb(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=3){t=e[i];a=e[i+1];r=e[i+2];e[i]=t-179.456+1.402*r;e[i+1]=t+135.459-.344*a-.714*r;e[i+2]=t-226.816+1.772*a}return e}_convertYccToRgba(e,t){for(let a=0,r=0,i=e.length;a<i;a+=3,r+=4){const i=e[a],n=e[a+1],s=e[a+2];t[r]=i-179.456+1.402*s;t[r+1]=i+135.459-.344*n-.714*s;t[r+2]=i-226.816+1.772*n;t[r+3]=255}return t}_convertYcckToRgb(e){this._convertYcckToCmyk(e);return this._convertCmykToRgb(e)}_convertYcckToRgba(e){this._convertYcckToCmyk(e);return this._convertCmykToRgba(e)}_convertYcckToCmyk(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=4){t=e[i];a=e[i+1];r=e[i+2];e[i]=434.456-t-1.402*r;e[i+1]=119.541-t+.344*a+.714*r;e[i+2]=481.816-t-1.772*a}return e}_convertCmykToRgb(e){const t=e.length/4;ColorSpaceUtils.cmyk.getRgbBuffer(e,0,t,e,0,8,0);return e.subarray(0,3*t)}_convertCmykToRgba(e){ColorSpaceUtils.cmyk.getRgbBuffer(e,0,e.length/4,e,0,8,1);if(ColorSpaceUtils.cmyk instanceof DeviceCmykCS)for(let t=3,a=e.length;t<a;t+=4)e[t]=255;return e}getData({width:e,height:t,forceRGBA:a=!1,forceRGB:r=!1,isSourcePDF:i=!1}){if(this.numComponents>4)throw new JpegError("Unsupported color mode");const n=this._getLinearizedBlockData(e,t,i);if(1===this.numComponents&&(a||r)){const e=n.length*(a?4:3),t=new Uint8ClampedArray(e);let r=0;if(a)!function grayToRGBA(e,t){if(FeatureTest.isLittleEndian)for(let a=0,r=e.length;a<r;a++)t[a]=65793*e[a]|4278190080;else for(let a=0,r=e.length;a<r;a++)t[a]=16843008*e[a]|255}(n,new Uint32Array(t.buffer));else for(const e of n){t[r++]=e;t[r++]=e;t[r++]=e}return t}if(3===this.numComponents&&this._isColorConversionNeeded){if(a){const e=new Uint8ClampedArray(n.length/3*4);return this._convertYccToRgba(n,e)}return this._convertYccToRgb(n)}if(4===this.numComponents){if(this._isColorConversionNeeded)return a?this._convertYcckToRgba(n):r?this._convertYcckToRgb(n):this._convertYcckToCmyk(n);if(a)return this._convertCmykToRgba(n);if(r)return this._convertCmykToRgb(n)}return n}}class JpegStream extends DecodeStream{static#M=FeatureTest.isImageDecoderSupported;constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}static get canUseImageDecoder(){return shadow(this,"canUseImageDecoder",this.#M?ImageDecoder.isTypeSupported("image/jpeg"):Promise.resolve(!1))}static setOptions({isImageDecoderSupported:e=!1}){this.#M=e}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}get jpegOptions(){const e={decodeTransform:void 0,colorTransform:void 0},t=this.dict.getArray("D","Decode");if((this.forceRGBA||this.forceRGB)&&Array.isArray(t)){const a=this.dict.get("BPC","BitsPerComponent")||8,r=t.length,i=new Int32Array(r);let n=!1;const s=(1<<a)-1;for(let e=0;e<r;e+=2){i[e]=256*(t[e+1]-t[e])|0;i[e+1]=t[e]*s|0;256===i[e]&&0===i[e+1]||(n=!0)}n&&(e.decodeTransform=i)}if(this.params instanceof Dict){const t=this.params.get("ColorTransform");Number.isInteger(t)&&(e.colorTransform=t)}return shadow(this,"jpegOptions",e)}#N(e){for(let t=0,a=e.length-1;t<a;t++)if(255===e[t]&&216===e[t+1]){t>0&&(e=e.subarray(t));break}return e}decodeImage(e){if(this.eof)return this.buffer;e=this.#N(e||this.bytes);const t=new JpegImage(this.jpegOptions);t.parse(e);const a=t.getData({width:this.drawWidth,height:this.drawHeight,forceRGBA:this.forceRGBA,forceRGB:this.forceRGB,isSourcePDF:!0});this.buffer=a;this.bufferLength=a.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}async getTransferableImage(){if(!await JpegStream.canUseImageDecoder)return null;const e=this.jpegOptions;if(e.decodeTransform)return null;let t;try{const a=this.canAsyncDecodeImageFromBuffer&&await this.stream.asyncGetBytes()||this.bytes;if(!a)return null;let r=this.#N(a);const i=JpegImage.canUseImageDecoder(r,e.colorTransform);if(!i)return null;if(i.exifStart){r=r.slice();r.fill(0,i.exifStart,i.exifEnd)}t=new ImageDecoder({data:r,type:"image/jpeg",preferAnimation:!1});return(await t.decode()).image}catch(e){warn(`getTransferableImage - failed: "${e}".`);return null}finally{t?.close()}}}var OpenJPEG=async function(e={}){var t,a,r=e,i=new Promise(((e,r)=>{t=e;a=r})),n="./this.program",quit_=(e,t)=>{throw t},s=import.meta.url;try{new URL(".",s).href}catch{}var o,c,l,h,u,d,f=console.log.bind(console),g=console.error.bind(console),p=!1;function updateMemoryViews(){var e=o.buffer;l=new Int8Array(e);new Int16Array(e);h=new Uint8Array(e);new Uint16Array(e);u=new Int32Array(e);d=new Uint32Array(e);new Float32Array(e);new Float64Array(e);new BigInt64Array(e);new BigUint64Array(e)}var m=0,b=null;class ExitStatus{name="ExitStatus";constructor(e){this.message=`Program terminated with exit(${e})`;this.status=e}}var callRuntimeCallbacks=e=>{for(;e.length>0;)e.shift()(r)},y=[],addOnPostRun=e=>y.push(e),w=[],addOnPreRun=e=>w.push(e),x=!0,S=0,k={},handleException=e=>{if(e instanceof ExitStatus||"unwind"==e)return c;quit_(0,e)},keepRuntimeAlive=()=>x||S>0,_proc_exit=e=>{c=e;if(!keepRuntimeAlive()){r.onExit?.(e);p=!0}quit_(0,new ExitStatus(e))},_exit=(e,t)=>{c=e;_proc_exit(e)},callUserCallback=e=>{if(!p)try{e();(()=>{if(!keepRuntimeAlive())try{_exit(c)}catch(e){handleException(e)}})()}catch(e){handleException(e)}},growMemory=e=>{var t=(e-o.buffer.byteLength+65535)/65536|0;try{o.grow(t);updateMemoryViews();return 1}catch(e){}},C={},getEnvStrings=()=>{if(!getEnvStrings.strings){var e={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:("object"==typeof navigator&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:n||"./this.program"};for(var t in C)void 0===C[t]?delete e[t]:e[t]=C[t];var a=[];for(var t in e)a.push(`${t}=${e[t]}`);getEnvStrings.strings=a}return getEnvStrings.strings},lengthBytesUTF8=e=>{for(var t=0,a=0;a<e.length;++a){var r=e.charCodeAt(a);if(r<=127)t++;else if(r<=2047)t+=2;else if(r>=55296&&r<=57343){t+=4;++a}else t+=3}return t},v=[null,[],[]],F="undefined"!=typeof TextDecoder?new TextDecoder:void 0,UTF8ArrayToString=(e,t=0,a=NaN)=>{for(var r=t+a,i=t;e[i]&&!(i>=r);)++i;if(i-t>16&&e.buffer&&F)return F.decode(e.subarray(t,i));for(var n="";t<i;){var s=e[t++];if(128&s){var o=63&e[t++];if(192!=(224&s)){var c=63&e[t++];if((s=224==(240&s)?(15&s)<<12|o<<6|c:(7&s)<<18|o<<12|c<<6|63&e[t++])<65536)n+=String.fromCharCode(s);else{var l=s-65536;n+=String.fromCharCode(55296|l>>10,56320|1023&l)}}else n+=String.fromCharCode((31&s)<<6|o)}else n+=String.fromCharCode(s)}return n},printChar=(e,t)=>{var a=v[e];if(0===t||10===t){(1===e?f:g)(UTF8ArrayToString(a));a.length=0}else a.push(t)},UTF8ToString=(e,t)=>e?UTF8ArrayToString(h,e,t):"";r.noExitRuntime&&(x=r.noExitRuntime);r.print&&(f=r.print);r.printErr&&(g=r.printErr);r.wasmBinary&&r.wasmBinary;r.arguments&&r.arguments;r.thisProgram&&(n=r.thisProgram);r.writeArrayToMemory=(e,t)=>{l.set(e,t)};var T={l:()=>function abort(e){r.onAbort?.(e);g(e="Aborted("+e+")");p=!0;e+=". Build with -sASSERTIONS for more info.";var t=new WebAssembly.RuntimeError(e);a(t);throw t}(""),k:()=>{x=!1;S=0},m:(e,t)=>{if(k[e]){clearTimeout(k[e].id);delete k[e]}if(!t)return 0;var a=setTimeout((()=>{delete k[e];callUserCallback((()=>M(e,performance.now())))}),t);k[e]={id:a,timeout_ms:t};return 0},g:function _copy_pixels_1(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(t),i=u.subarray(e,e+t);a.set(i)},f:function _copy_pixels_3(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(3*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e<i;e++){n[3*e]=s[e];n[3*e+1]=o[e];n[3*e+2]=c[e]}},e:function _copy_pixels_4(e,t,a,i,n){e>>=2;t>>=2;a>>=2;i>>=2;const s=r.imageData=new Uint8ClampedArray(4*n),o=u.subarray(e,e+n),c=u.subarray(t,t+n),l=u.subarray(a,a+n),h=u.subarray(i,i+n);for(let e=0;e<n;e++){s[4*e]=o[e];s[4*e+1]=c[e];s[4*e+2]=l[e];s[4*e+3]=h[e]}},n:e=>{var t,a,r=h.length,i=2147483648;if((e>>>=0)>i)return!1;for(var n=1;n<=4;n*=2){var s=r*(1+.2/n);s=Math.min(s,e+100663296);var o=Math.min(i,(t=Math.max(e,s),a=65536,Math.ceil(t/a)*a));if(growMemory(o))return!0}return!1},p:(e,t)=>{var a=0,r=0;for(var i of getEnvStrings()){var n=t+a;d[e+r>>2]=n;a+=((e,t,a,r)=>{if(!(r>0))return 0;for(var i=a,n=a+r-1,s=0;s<e.length;++s){var o=e.charCodeAt(s);o>=55296&&o<=57343&&(o=65536+((1023&o)<<10)|1023&e.charCodeAt(++s));if(o<=127){if(a>=n)break;t[a++]=o}else if(o<=2047){if(a+1>=n)break;t[a++]=192|o>>6;t[a++]=128|63&o}else if(o<=65535){if(a+2>=n)break;t[a++]=224|o>>12;t[a++]=128|o>>6&63;t[a++]=128|63&o}else{if(a+3>=n)break;t[a++]=240|o>>18;t[a++]=128|o>>12&63;t[a++]=128|o>>6&63;t[a++]=128|63&o}}t[a]=0;return a-i})(i,h,n,1/0)+1;r+=4}return 0},q:(e,t)=>{var a=getEnvStrings();d[e>>2]=a.length;var r=0;for(var i of a)r+=lengthBytesUTF8(i)+1;d[t>>2]=r;return 0},b:e=>52,o:function _fd_seek(e,t,a,r){t=(i=t)<-9007199254740992||i>9007199254740992?NaN:Number(i);var i;return 70},c:(e,t,a,r)=>{for(var i=0,n=0;n<a;n++){var s=d[t>>2],o=d[t+4>>2];t+=8;for(var c=0;c<o;c++)printChar(e,h[s+c]);i+=o}d[r>>2]=i;return 0},r:function _gray_to_rgba(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(4*t),i=u.subarray(e,e+t);for(let e=0;e<t;e++){a[4*e]=a[4*e+1]=a[4*e+2]=i[e];a[4*e+3]=255}},i:function _graya_to_rgba(e,t,a){e>>=2;t>>=2;const i=r.imageData=new Uint8ClampedArray(4*a),n=u.subarray(e,e+a),s=u.subarray(t,t+a);for(let e=0;e<a;e++){i[4*e]=i[4*e+1]=i[4*e+2]=n[e];i[4*e+3]=s[e]}},d:function _jsPrintWarning(e){const t=UTF8ToString(e);(r.warn||console.warn)(`OpenJPEG: ${t}`)},j:_proc_exit,h:function _rgb_to_rgba(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(4*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e<i;e++){n[4*e]=s[e];n[4*e+1]=o[e];n[4*e+2]=c[e];n[4*e+3]=255}},a:function _storeErrorMessage(e){const t=UTF8ToString(e);r.errorMessages?r.errorMessages+="\\n"+t:r.errorMessages=t}},O=await async function createWasm(){function receiveInstance(e,t){O=e.exports;o=O.s;updateMemoryViews();!function removeRunDependency(e){m--;r.monitorRunDependencies?.(m);if(0==m&&b){var t=b;b=null;t()}}();return O}!function addRunDependency(e){m++;r.monitorRunDependencies?.(m)}();var e=function getWasmImports(){return{a:T}}();return new Promise(((t,a)=>{r.instantiateWasm(e,((e,a)=>{t(receiveInstance(e))}))}))}(),M=(O.t,r._malloc=O.u,r._free=O.v,r._jp2_decode=O.w,O.x);!function preInit(){if(r.preInit){"function"==typeof r.preInit&&(r.preInit=[r.preInit]);for(;r.preInit.length>0;)r.preInit.shift()()}}();!function run(){if(m>0)b=run;else{!function preRun(){if(r.preRun){"function"==typeof r.preRun&&(r.preRun=[r.preRun]);for(;r.preRun.length;)addOnPreRun(r.preRun.shift())}callRuntimeCallbacks(w)}();if(m>0)b=run;else if(r.setStatus){r.setStatus("Running...");setTimeout((()=>{setTimeout((()=>r.setStatus("")),1);doRun()}),1)}else doRun()}function doRun(){r.calledRun=!0;if(!p){!function initRuntime(){O.t()}();t(r);r.onRuntimeInitialized?.();!function postRun(){if(r.postRun){"function"==typeof r.postRun&&(r.postRun=[r.postRun]);for(;r.postRun.length;)addOnPostRun(r.postRun.shift())}callRuntimeCallbacks(y)}()}}}();return i};const Ga=OpenJPEG;class JpxError extends fa{constructor(e){super(e,"JpxError")}}class JpxImage{static#E=null;static#P=null;static#L=null;static#v=!0;static#j=!0;static#F=null;static setOptions({handler:e,useWasm:t,useWorkerFetch:a,wasmUrl:r}){this.#v=t;this.#j=a;this.#F=r;a||(this.#P=e)}static async#_(e){const t=`${this.#F}openjpeg_nowasm_fallback.js`;let a=null;try{a=(await import(\n/*webpackIgnore: true*/\n/*@vite-ignore*/\nt)).default()}catch(e){warn(`JpxImage#getJsModule: ${e}`)}e(a)}static async#U(e,t,a){const r="openjpeg.wasm";try{this.#E||(this.#j?this.#E=await fetchBinaryData(`${this.#F}${r}`):this.#E=await this.#P.sendWithPromise("FetchBinaryData",{type:"wasmFactory",filename:r}));return a((await WebAssembly.instantiate(this.#E,t)).instance)}catch(t){warn(`JpxImage#instantiateWasm: ${t}`);this.#_(e);return null}finally{this.#P=null}}static async decode(e,{numComponents:t=4,isIndexedColormap:a=!1,smaskInData:r=!1,reducePower:i=0}={}){if(!this.#L){const{promise:e,resolve:t}=Promise.withResolvers(),a=[e];this.#v?a.push(Ga({warn,instantiateWasm:this.#U.bind(this,t)})):this.#_(t);this.#L=Promise.race(a)}const n=await this.#L;if(!n)throw new JpxError("OpenJPEG failed to initialize");let s;try{const o=e.length;s=n._malloc(o);n.writeArrayToMemory(e,s);if(n._jp2_decode(s,o,t>0?t:0,!!a,!!r,i)){const{errorMessages:e}=n;if(e){delete n.errorMessages;throw new JpxError(e)}throw new JpxError("Unknown error")}const{imageData:c}=n;n.imageData=null;return c}finally{s&&n._free(s)}}static cleanup(){this.#L=null}static parseImageProperties(e){let t=e.getByte();for(;t>=0;){const a=t;t=e.getByte();if(65361===(a<<8|t)){e.skip(4);const t=e.getInt32()>>>0,a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0;e.skip(16);return{width:t-r,height:a-i,bitsPerComponent:8,componentsCount:e.getUint16()}}}throw new JpxError("No size marker found in JPX stream")}}function addState(e,t,a,r,i){let n=e;for(let e=0,a=t.length-1;e<a;e++){const a=t[e];n=n[a]||=[]}n[t.at(-1)]={checkFn:a,iterateFn:r,processFn:i}}const Va=[];addState(Va,[Be,Ne,Yt,Re],null,(function iterateInlineImageGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Yt;case 3:return a[t]===Re}throw new Error(`iterateInlineImageGroup - invalid pos: ${r}`)}),(function foundInlineImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1,c=Math.min(Math.floor((t-n)/4),200);if(c<10)return t-(t-n)%4;let l=0;const h=[];let u=0,d=1,f=1;for(let e=0;e<c;e++){const t=r[s+(e<<2)],a=r[o+(e<<2)][0];if(d+a.width>1e3){l=Math.max(l,d);f+=u+2;d=0;u=0}h.push({transform:t,x:d,y:f,w:a.width,h:a.height});d+=a.width+2;u=Math.max(u,a.height)}const g=Math.max(l,d)+1,p=f+u+1,m=new Uint8Array(g*p*4),b=g<<2;for(let e=0;e<c;e++){const t=r[o+(e<<2)][0].data,a=h[e].w<<2;let i=0,n=h[e].x+h[e].y*g<<2;m.set(t.subarray(0,a),n-b);for(let r=0,s=h[e].h;r<s;r++){m.set(t.subarray(i,i+a),n);i+=a;n+=b}m.set(t.subarray(i-a,i),n);for(;n>=0;){t[n-4]=t[n];t[n-3]=t[n+1];t[n-2]=t[n+2];t[n-1]=t[n+3];t[n+a]=t[n+a-4];t[n+a+1]=t[n+a-3];t[n+a+2]=t[n+a-2];t[n+a+3]=t[n+a-1];n-=b}}const y={width:g,height:p};if(e.isOffscreenCanvasSupported){const e=new OffscreenCanvas(g,p);e.getContext("2d").putImageData(new ImageData(new Uint8ClampedArray(m.buffer),g,p),0,0);y.bitmap=e.transferToImageBitmap();y.data=null}else{y.kind=v;y.data=m}a.splice(n,4*c,Zt);r.splice(n,4*c,[y,h]);return n+1}));addState(Va,[Be,Ne,Vt,Re],null,(function iterateImageMaskGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Vt;case 3:return a[t]===Re}throw new Error(`iterateImageMaskGroup - invalid pos: ${r}`)}),(function foundImageMaskGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1;let c=Math.floor((t-n)/4);if(c<10)return t-(t-n)%4;let l,h,u=!1;const d=r[o][0],f=r[s][0],g=r[s][1],p=r[s][2],m=r[s][3];if(g===p){u=!0;l=s+4;let e=o+4;for(let t=1;t<c;t++,l+=4,e+=4){h=r[l];if(r[e][0]!==d||h[0]!==f||h[1]!==g||h[2]!==p||h[3]!==m){t<10?u=!1:c=t;break}}}if(u){c=Math.min(c,1e3);const e=new Float32Array(2*c);l=s;for(let t=0;t<c;t++,l+=4){h=r[l];e[t<<1]=h[4];e[1+(t<<1)]=h[5]}a.splice(n,4*c,ea);r.splice(n,4*c,[d,f,g,p,m,e])}else{c=Math.min(c,100);const e=[];for(let t=0;t<c;t++){h=r[s+(t<<2)];const a=r[o+(t<<2)][0];e.push({data:a.data,width:a.width,height:a.height,interpolate:a.interpolate,count:a.count,transform:h})}a.splice(n,4*c,Kt);r.splice(n,4*c,[e])}return n+1}));addState(Va,[Be,Ne,Jt,Re],(function(e){const t=e.argsArray,a=e.iCurr-2;return 0===t[a][1]&&0===t[a][2]}),(function iterateImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-3))%4;switch(i){case 0:return a[t]===Be;case 1:if(a[t]!==Ne)return!1;const i=e.iCurr-2,n=r[i][0],s=r[i][3];return r[t][0]===n&&0===r[t][1]&&0===r[t][2]&&r[t][3]===s;case 2:if(a[t]!==Jt)return!1;const o=r[e.iCurr-1][0];return r[t][0]===o;case 3:return a[t]===Re}throw new Error(`iterateImageGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=r[i-1][0],c=r[s][0],l=r[s][3],h=Math.min(Math.floor((t-n)/4),1e3);if(h<3)return t-(t-n)%4;const u=new Float32Array(2*h);let d=s;for(let e=0;e<h;e++,d+=4){const t=r[d];u[e<<1]=t[4];u[1+(e<<1)]=t[5]}const f=[o,c,l,u];a.splice(n,4*h,Qt);r.splice(n,4*h,f);return n+1}));addState(Va,[Qe,nt,ht,dt,et],null,(function iterateShowTextGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-4))%5;switch(i){case 0:return a[t]===Qe;case 1:return a[t]===nt;case 2:return a[t]===ht;case 3:if(a[t]!==dt)return!1;const i=e.iCurr-3,n=r[i][0],s=r[i][1];return r[t][0]===n&&r[t][1]===s;case 4:return a[t]===et}throw new Error(`iterateShowTextGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-4,s=i-3,o=i-2,c=i-1,l=i,h=r[s][0],u=r[s][1];let d=Math.min(Math.floor((t-n)/5),1e3);if(d<3)return t-(t-n)%5;let f=n;if(n>=4&&a[n-4]===a[s]&&a[n-3]===a[o]&&a[n-2]===a[c]&&a[n-1]===a[l]&&r[n-4][0]===h&&r[n-4][1]===u){d++;f-=5}let g=f+4;for(let e=1;e<d;e++){a.splice(g,3);r.splice(g,3);g+=2}return g+1}));addState(Va,[Be,Ne,aa,Re],(e=>{const t=e.argsArray,a=t[e.iCurr-1][0];if(a!==qe&&a!==He&&a!==$e&&a!==Ge&&a!==Ve&&a!==Ke)return!0;const r=t[e.iCurr-2];return 1===r[0]&&0===r[1]&&0===r[2]&&1===r[3]}),(()=>!1),((e,t)=>{const{fnArray:a,argsArray:r}=e,i=e.iCurr,n=i-3,s=i-2,o=r[i-1],c=r[s],[,[l],h]=o;if(h){Util.scaleMinMax(c,h);for(let e=0,t=l.length;e<t;)switch(l[e++]){case sa:case oa:Util.applyTransform(l,c,e);e+=2;break;case ca:Util.applyTransformToBezier(l,c,e);e+=6}}a.splice(n,4,aa);r.splice(n,4,o);return n+1}));class NullOptimizer{constructor(e){this.queue=e}_optimize(){}push(e,t){this.queue.fnArray.push(e);this.queue.argsArray.push(t);this._optimize()}flush(){}reset(){}}class QueueOptimizer extends NullOptimizer{constructor(e){super(e);this.state=null;this.context={iCurr:0,fnArray:e.fnArray,argsArray:e.argsArray,isOffscreenCanvasSupported:OperatorList.isOffscreenCanvasSupported};this.match=null;this.lastProcessed=0}_optimize(){const e=this.queue.fnArray;let t=this.lastProcessed,a=e.length,r=this.state,i=this.match;if(!r&&!i&&t+1===a&&!Va[e[t]]){this.lastProcessed=a;return}const n=this.context;for(;t<a;){if(i){if((0,i.iterateFn)(n,t)){t++;continue}t=(0,i.processFn)(n,t+1);a=e.length;i=null;r=null;if(t>=a)break}r=(r||Va)[e[t]];if(r&&!Array.isArray(r)){n.iCurr=t;t++;if(!r.checkFn||(0,r.checkFn)(n)){i=r;r=null}else r=null}else t++}this.state=r;this.match=i;this.lastProcessed=t}flush(){for(;this.match;){const e=this.queue.fnArray.length;this.lastProcessed=(0,this.match.processFn)(this.context,e);this.match=null;this.state=null;this._optimize()}}reset(){this.state=null;this.match=null;this.lastProcessed=0}}class OperatorList{static CHUNK_SIZE=1e3;static CHUNK_SIZE_ABOUT=this.CHUNK_SIZE-5;static isOffscreenCanvasSupported=!1;constructor(e=0,t){this._streamSink=t;this.fnArray=[];this.argsArray=[];this.optimizer=!t||e&d?new NullOptimizer(this):new QueueOptimizer(this);this.dependencies=new Set;this._totalLength=0;this.weight=0;this._resolved=t?null:Promise.resolve()}static setOptions({isOffscreenCanvasSupported:e}){this.isOffscreenCanvasSupported=e}get length(){return this.argsArray.length}get ready(){return this._resolved||this._streamSink.ready}get totalLength(){return this._totalLength+this.length}addOp(e,t){this.optimizer.push(e,t);this.weight++;this._streamSink&&(this.weight>=OperatorList.CHUNK_SIZE||this.weight>=OperatorList.CHUNK_SIZE_ABOUT&&(e===Re||e===et))&&this.flush()}addImageOps(e,t,a,r=!1){if(r){this.addOp(Be);this.addOp(De,[[["SMask",!1]]])}void 0!==a&&this.addOp(jt,["OC",a]);this.addOp(e,t);void 0!==a&&this.addOp(_t,[]);r&&this.addOp(Re)}addDependency(e){if(!this.dependencies.has(e)){this.dependencies.add(e);this.addOp(ke,[e])}}addDependencies(e){for(const t of e)this.addDependency(t)}addOpList(e){if(e instanceof OperatorList){for(const t of e.dependencies)this.dependencies.add(t);for(let t=0,a=e.length;t<a;t++)this.addOp(e.fnArray[t],e.argsArray[t])}else warn(\'addOpList - ignoring invalid "opList" parameter.\')}getIR(){return{fnArray:this.fnArray,argsArray:this.argsArray,length:this.length}}get _transfers(){const e=[],{fnArray:t,argsArray:a,length:r}=this;for(let i=0;i<r;i++)switch(t[i]){case Yt:case Zt:case Vt:{const{bitmap:t,data:r}=a[i][0];(t||r?.buffer)&&e.push(t||r.buffer);break}case aa:{const[,[t],r]=a[i];t&&e.push(t.buffer,r.buffer);break}case qt:const[t,r]=a[i];t&&e.push(t.buffer);r&&e.push(r.buffer);break;case ht:e.push(a[i][0].buffer)}return e}flush(e=!1,t=null){this.optimizer.flush();const a=this.length;this._totalLength+=a;this._streamSink.enqueue({fnArray:this.fnArray,argsArray:this.argsArray,lastChunk:e,separateAnnots:t,length:a},1,this._transfers);this.dependencies.clear();this.fnArray.length=0;this.argsArray.length=0;this.weight=0;this.optimizer.reset()}}function hexToInt(e,t){let a=0;for(let r=0;r<=t;r++)a=a<<8|e[r];return a>>>0}function hexToStr(e,t){return 1===t?String.fromCharCode(e[0],e[1]):3===t?String.fromCharCode(e[0],e[1],e[2],e[3]):String.fromCharCode(...e.subarray(0,t+1))}function addHex(e,t,a){let r=0;for(let i=a;i>=0;i--){r+=e[i]+t[i];e[i]=255&r;r>>=8}}function incHex(e,t){let a=1;for(let r=t;r>=0&&a>0;r--){a+=e[r];e[r]=255&a;a>>=8}}const Ka=16;class BinaryCMapStream{constructor(e){this.buffer=e;this.pos=0;this.end=e.length;this.tmpBuf=new Uint8Array(19)}readByte(){return this.pos>=this.end?-1:this.buffer[this.pos++]}readNumber(){let e,t=0;do{const a=this.readByte();if(a<0)throw new FormatError("unexpected EOF in bcmap");e=!(128&a);t=t<<7|127&a}while(!e);return t}readSigned(){const e=this.readNumber();return 1&e?~(e>>>1):e>>>1}readHex(e,t){e.set(this.buffer.subarray(this.pos,this.pos+t+1));this.pos+=t+1}readHexNumber(e,t){let a;const r=this.tmpBuf;let i=0;do{const e=this.readByte();if(e<0)throw new FormatError("unexpected EOF in bcmap");a=!(128&e);r[i++]=127&e}while(!a);let n=t,s=0,o=0;for(;n>=0;){for(;o<8&&r.length>0;){s|=r[--i]<<o;o+=7}e[n]=255&s;n--;s>>=8;o-=8}}readHexSigned(e,t){this.readHexNumber(e,t);const a=1&e[t]?255:0;let r=0;for(let i=0;i<=t;i++){r=(1&r)<<8|e[i];e[i]=r>>1^a}}readString(){const e=this.readNumber(),t=new Array(e);for(let a=0;a<e;a++)t[a]=this.readNumber();return String.fromCharCode(...t)}}class BinaryCMapReader{async process(e,t,a){const r=new BinaryCMapStream(e),i=r.readByte();t.vertical=!!(1&i);let n=null;const s=new Uint8Array(Ka),o=new Uint8Array(Ka),c=new Uint8Array(Ka),l=new Uint8Array(Ka),h=new Uint8Array(Ka);let u,d;for(;(d=r.readByte())>=0;){const e=d>>5;if(7===e){switch(31&d){case 0:r.readString();break;case 1:n=r.readString()}continue}const a=!!(16&d),i=15&d;if(i+1>Ka)throw new Error("BinaryCMapReader.process: Invalid dataSize.");const f=1,g=r.readNumber();switch(e){case 0:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i));for(let e=1;e<g;e++){incHex(o,i);r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i))}break;case 1:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber();for(let e=1;e<g;e++){incHex(o,i);r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber()}break;case 2:r.readHex(c,i);u=r.readNumber();t.mapOne(hexToInt(c,i),u);for(let e=1;e<g;e++){incHex(c,i);if(!a){r.readHexNumber(h,i);addHex(c,h,i)}u=r.readSigned()+(u+1);t.mapOne(hexToInt(c,i),u)}break;case 3:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),u);for(let e=1;e<g;e++){incHex(o,i);if(a)s.set(o);else{r.readHexNumber(s,i);addHex(s,o,i)}r.readHexNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),u)}break;case 4:r.readHex(c,f);r.readHex(l,i);t.mapOne(hexToInt(c,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(c,f);if(!a){r.readHexNumber(h,f);addHex(c,h,f)}incHex(l,i);r.readHexSigned(h,i);addHex(l,h,i);t.mapOne(hexToInt(c,f),hexToStr(l,i))}break;case 5:r.readHex(s,f);r.readHexNumber(o,f);addHex(o,s,f);r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(o,f);if(a)s.set(o);else{r.readHexNumber(s,f);addHex(s,o,f)}r.readHexNumber(o,f);addHex(o,s,f);r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i))}break;default:throw new Error(`BinaryCMapReader.process - unknown type: ${e}`)}}return n?a(n):t}}class Ascii85Stream extends DecodeStream{constructor(e,t){t&&(t*=.8);super(t);this.str=e;this.dict=e.dict;this.input=new Uint8Array(5)}readBlock(){const e=this.str;let t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();if(-1===t||126===t){this.eof=!0;return}const a=this.bufferLength;let r,i;if(122===t){r=this.ensureBuffer(a+4);for(i=0;i<4;++i)r[a+i]=0;this.bufferLength+=4}else{const n=this.input;n[0]=t;for(i=1;i<5;++i){t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();n[i]=t;if(-1===t||126===t)break}r=this.ensureBuffer(a+i-1);this.bufferLength+=i-1;if(i<5){for(;i<5;++i)n[i]=117;this.eof=!0}let s=0;for(i=0;i<5;++i)s=85*s+(n[i]-33);for(i=3;i>=0;--i){r[a+i]=255&s;s>>=8}}}}class AsciiHexStream extends DecodeStream{constructor(e,t){t&&(t*=.5);super(t);this.str=e;this.dict=e.dict;this.firstDigit=-1}readBlock(){const e=this.str.getBytes(8e3);if(!e.length){this.eof=!0;return}const t=e.length+1>>1,a=this.ensureBuffer(this.bufferLength+t);let r=this.bufferLength,i=this.firstDigit;for(const t of e){let e;if(t>=48&&t<=57)e=15&t;else{if(!(t>=65&&t<=70||t>=97&&t<=102)){if(62===t){this.eof=!0;break}continue}e=9+(15&t)}if(i<0)i=e;else{a[r++]=i<<4|e;i=-1}}if(i>=0&&this.eof){a[r++]=i<<4;i=-1}this.firstDigit=i;this.bufferLength=r}}const Ja=-1,Ya=[[-1,-1],[-1,-1],[7,8],[7,7],[6,6],[6,6],[6,5],[6,5],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[4,0],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2]],Za=[[-1,-1],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[12,1984],[12,2048],[12,2112],[12,2176],[12,2240],[12,2304],[11,1856],[11,1856],[11,1920],[11,1920],[12,2368],[12,2432],[12,2496],[12,2560]],Qa=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[8,29],[8,29],[8,30],[8,30],[8,45],[8,45],[8,46],[8,46],[7,22],[7,22],[7,22],[7,22],[7,23],[7,23],[7,23],[7,23],[8,47],[8,47],[8,48],[8,48],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[7,20],[7,20],[7,20],[7,20],[8,33],[8,33],[8,34],[8,34],[8,35],[8,35],[8,36],[8,36],[8,37],[8,37],[8,38],[8,38],[7,19],[7,19],[7,19],[7,19],[8,31],[8,31],[8,32],[8,32],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[8,53],[8,53],[8,54],[8,54],[7,26],[7,26],[7,26],[7,26],[8,39],[8,39],[8,40],[8,40],[8,41],[8,41],[8,42],[8,42],[8,43],[8,43],[8,44],[8,44],[7,21],[7,21],[7,21],[7,21],[7,28],[7,28],[7,28],[7,28],[8,61],[8,61],[8,62],[8,62],[8,63],[8,63],[8,0],[8,0],[8,320],[8,320],[8,384],[8,384],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[7,27],[7,27],[7,27],[7,27],[8,59],[8,59],[8,60],[8,60],[9,1472],[9,1536],[9,1600],[9,1728],[7,18],[7,18],[7,18],[7,18],[7,24],[7,24],[7,24],[7,24],[8,49],[8,49],[8,50],[8,50],[8,51],[8,51],[8,52],[8,52],[7,25],[7,25],[7,25],[7,25],[8,55],[8,55],[8,56],[8,56],[8,57],[8,57],[8,58],[8,58],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[8,448],[8,448],[8,512],[8,512],[9,704],[9,768],[8,640],[8,640],[8,576],[8,576],[9,832],[9,896],[9,960],[9,1024],[9,1088],[9,1152],[9,1216],[9,1280],[9,1344],[9,1408],[7,256],[7,256],[7,256],[7,256],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7]],er=[[-1,-1],[-1,-1],[12,-2],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[11,1792],[11,1792],[12,1984],[12,1984],[12,2048],[12,2048],[12,2112],[12,2112],[12,2176],[12,2176],[12,2240],[12,2240],[12,2304],[12,2304],[11,1856],[11,1856],[11,1856],[11,1856],[11,1920],[11,1920],[11,1920],[11,1920],[12,2368],[12,2368],[12,2432],[12,2432],[12,2496],[12,2496],[12,2560],[12,2560],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[12,52],[12,52],[13,640],[13,704],[13,768],[13,832],[12,55],[12,55],[12,56],[12,56],[13,1280],[13,1344],[13,1408],[13,1472],[12,59],[12,59],[12,60],[12,60],[13,1536],[13,1600],[11,24],[11,24],[11,24],[11,24],[11,25],[11,25],[11,25],[11,25],[13,1664],[13,1728],[12,320],[12,320],[12,384],[12,384],[12,448],[12,448],[13,512],[13,576],[12,53],[12,53],[12,54],[12,54],[13,896],[13,960],[13,1024],[13,1088],[13,1152],[13,1216],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64]],tr=[[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[11,23],[11,23],[12,50],[12,51],[12,44],[12,45],[12,46],[12,47],[12,57],[12,58],[12,61],[12,256],[10,16],[10,16],[10,16],[10,16],[10,17],[10,17],[10,17],[10,17],[12,48],[12,49],[12,62],[12,63],[12,30],[12,31],[12,32],[12,33],[12,40],[12,41],[11,22],[11,22],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[12,128],[12,192],[12,26],[12,27],[12,28],[12,29],[11,19],[11,19],[11,20],[11,20],[12,34],[12,35],[12,36],[12,37],[12,38],[12,39],[11,21],[11,21],[12,42],[12,43],[10,0],[10,0],[10,0],[10,0],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12]],ar=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[6,9],[6,8],[5,7],[5,7],[4,6],[4,6],[4,6],[4,6],[4,5],[4,5],[4,5],[4,5],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]];class CCITTFaxDecoder{constructor(e,t={}){if("function"!=typeof e?.next)throw new Error(\'CCITTFaxDecoder - invalid "source" parameter.\');this.source=e;this.eof=!1;this.encoding=t.K||0;this.eoline=t.EndOfLine||!1;this.byteAlign=t.EncodedByteAlign||!1;this.columns=t.Columns||1728;this.rows=t.Rows||0;this.eoblock=t.EndOfBlock??!0;this.black=t.BlackIs1||!1;this.codingLine=new Uint32Array(this.columns+1);this.refLine=new Uint32Array(this.columns+2);this.codingLine[0]=this.columns;this.codingPos=0;this.row=0;this.nextLine2D=this.encoding<0;this.inputBits=0;this.inputBuf=0;this.outputBits=0;this.rowsDone=!1;let a;for(;0===(a=this._lookBits(12));)this._eatBits(1);1===a&&this._eatBits(12);if(this.encoding>0){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}}readNextChar(){if(this.eof)return-1;const e=this.refLine,t=this.codingLine,a=this.columns;let r,i,n,s,o;if(0===this.outputBits){this.rowsDone&&(this.eof=!0);if(this.eof)return-1;this.err=!1;let n,o,c;if(this.nextLine2D){for(s=0;t[s]<a;++s)e[s]=t[s];e[s++]=a;e[s]=a;t[0]=0;this.codingPos=0;r=0;i=0;for(;t[this.codingPos]<a;){n=this._getTwoDimCode();switch(n){case 0:this._addPixels(e[r+1],i);e[r+1]<a&&(r+=2);break;case 1:n=o=0;if(i){do{n+=c=this._getBlackCode()}while(c>=64);do{o+=c=this._getWhiteCode()}while(c>=64)}else{do{n+=c=this._getWhiteCode()}while(c>=64);do{o+=c=this._getBlackCode()}while(c>=64)}this._addPixels(t[this.codingPos]+n,i);t[this.codingPos]<a&&this._addPixels(t[this.codingPos]+o,1^i);for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2;break;case 7:this._addPixels(e[r]+3,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 5:this._addPixels(e[r]+2,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 3:this._addPixels(e[r]+1,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 2:this._addPixels(e[r],i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 8:this._addPixelsNeg(e[r]-3,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 6:this._addPixelsNeg(e[r]-2,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 4:this._addPixelsNeg(e[r]-1,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case Ja:this._addPixels(a,0);this.eof=!0;break;default:info("bad 2d code");this._addPixels(a,0);this.err=!0}}}else{t[0]=0;this.codingPos=0;i=0;for(;t[this.codingPos]<a;){n=0;if(i)do{n+=c=this._getBlackCode()}while(c>=64);else do{n+=c=this._getWhiteCode()}while(c>=64);this._addPixels(t[this.codingPos]+n,i);i^=1}}let l=!1;this.byteAlign&&(this.inputBits&=-8);if(this.eoblock||this.row!==this.rows-1){n=this._lookBits(12);if(this.eoline)for(;n!==Ja&&1!==n;){this._eatBits(1);n=this._lookBits(12)}else for(;0===n;){this._eatBits(1);n=this._lookBits(12)}if(1===n){this._eatBits(12);l=!0}else n===Ja&&(this.eof=!0)}else this.rowsDone=!0;if(!this.eof&&this.encoding>0&&!this.rowsDone){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}if(this.eoblock&&l&&this.byteAlign){n=this._lookBits(12);if(1===n){this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}if(this.encoding>=0)for(s=0;s<4;++s){n=this._lookBits(12);1!==n&&info("bad rtc code: "+n);this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}}this.eof=!0}}else if(this.err&&this.eoline){for(;;){n=this._lookBits(13);if(n===Ja){this.eof=!0;return-1}if(n>>1==1)break;this._eatBits(1)}this._eatBits(12);if(this.encoding>0){this._eatBits(1);this.nextLine2D=!(1&n)}}this.outputBits=t[0]>0?t[this.codingPos=0]:t[this.codingPos=1];this.row++}if(this.outputBits>=8){o=1&this.codingPos?0:255;this.outputBits-=8;if(0===this.outputBits&&t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}}else{n=8;o=0;do{if("number"!=typeof this.outputBits)throw new FormatError(\'Invalid /CCITTFaxDecode data, "outputBits" must be a number.\');if(this.outputBits>n){o<<=n;1&this.codingPos||(o|=255>>8-n);this.outputBits-=n;n=0}else{o<<=this.outputBits;1&this.codingPos||(o|=255>>8-this.outputBits);n-=this.outputBits;this.outputBits=0;if(t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}else if(n>0){o<<=n;n=0}}}while(n)}this.black&&(o^=255);return o}_addPixels(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}this.codingPos=r}_addPixelsNeg(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}else if(e<a[r]){if(e<0){info("invalid code");this.err=!0;e=0}for(;r>0&&e<a[r-1];)--r;a[r]=e}this.codingPos=r}_findTableCode(e,t,a,r){const i=r||0;for(let r=e;r<=t;++r){let e=this._lookBits(r);if(e===Ja)return[!0,1,!1];r<t&&(e<<=t-r);if(!i||e>=i){const t=a[e-i];if(t[0]===r){this._eatBits(r);return[!0,t[1],!0]}}}return[!1,0,!1]}_getTwoDimCode(){let e,t=0;if(this.eoblock){t=this._lookBits(7);e=Ya[t];if(e?.[0]>0){this._eatBits(e[0]);return e[1]}}else{const e=this._findTableCode(1,7,Ya);if(e[0]&&e[2])return e[1]}info("Bad two dim code");return Ja}_getWhiteCode(){let e,t=0;if(this.eoblock){t=this._lookBits(12);if(t===Ja)return 1;e=t>>5?Qa[t>>3]:Za[t];if(e[0]>0){this._eatBits(e[0]);return e[1]}}else{let e=this._findTableCode(1,9,Qa);if(e[0])return e[1];e=this._findTableCode(11,12,Za);if(e[0])return e[1]}info("bad white code");this._eatBits(1);return 1}_getBlackCode(){let e,t;if(this.eoblock){e=this._lookBits(13);if(e===Ja)return 1;t=e>>7?!(e>>9)&&e>>7?tr[(e>>1)-64]:ar[e>>7]:er[e];if(t[0]>0){this._eatBits(t[0]);return t[1]}}else{let e=this._findTableCode(2,6,ar);if(e[0])return e[1];e=this._findTableCode(7,12,tr,64);if(e[0])return e[1];e=this._findTableCode(10,13,er);if(e[0])return e[1]}info("bad black code");this._eatBits(1);return 1}_lookBits(e){let t;for(;this.inputBits<e;){if(-1===(t=this.source.next()))return 0===this.inputBits?Ja:this.inputBuf<<e-this.inputBits&65535>>16-e;this.inputBuf=this.inputBuf<<8|t;this.inputBits+=8}return this.inputBuf>>this.inputBits-e&65535>>16-e}_eatBits(e){(this.inputBits-=e)<0&&(this.inputBits=0)}}class CCITTFaxStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;a instanceof Dict||(a=Dict.empty);const r={next:()=>e.getByte()};this.ccittFaxDecoder=new CCITTFaxDecoder(r,{K:a.get("K"),EndOfLine:a.get("EndOfLine"),EncodedByteAlign:a.get("EncodedByteAlign"),Columns:a.get("Columns"),Rows:a.get("Rows"),EndOfBlock:a.get("EndOfBlock"),BlackIs1:a.get("BlackIs1")})}readBlock(){for(;!this.eof;){const e=this.ccittFaxDecoder.readNextChar();if(-1===e){this.eof=!0;return}this.ensureBuffer(this.bufferLength+1);this.buffer[this.bufferLength++]=e}}}const rr=new Int32Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ir=new Int32Array([3,4,5,6,7,8,9,10,65547,65549,65551,65553,131091,131095,131099,131103,196643,196651,196659,196667,262211,262227,262243,262259,327811,327843,327875,327907,258,258,258]),nr=new Int32Array([1,2,3,4,65541,65543,131081,131085,196625,196633,262177,262193,327745,327777,393345,393409,459009,459137,524801,525057,590849,591361,657409,658433,724993,727041,794625,798721,868353,876545]),sr=[new Int32Array([459008,524368,524304,524568,459024,524400,524336,590016,459016,524384,524320,589984,524288,524416,524352,590048,459012,524376,524312,589968,459028,524408,524344,590032,459020,524392,524328,59e4,524296,524424,524360,590064,459010,524372,524308,524572,459026,524404,524340,590024,459018,524388,524324,589992,524292,524420,524356,590056,459014,524380,524316,589976,459030,524412,524348,590040,459022,524396,524332,590008,524300,524428,524364,590072,459009,524370,524306,524570,459025,524402,524338,590020,459017,524386,524322,589988,524290,524418,524354,590052,459013,524378,524314,589972,459029,524410,524346,590036,459021,524394,524330,590004,524298,524426,524362,590068,459011,524374,524310,524574,459027,524406,524342,590028,459019,524390,524326,589996,524294,524422,524358,590060,459015,524382,524318,589980,459031,524414,524350,590044,459023,524398,524334,590012,524302,524430,524366,590076,459008,524369,524305,524569,459024,524401,524337,590018,459016,524385,524321,589986,524289,524417,524353,590050,459012,524377,524313,589970,459028,524409,524345,590034,459020,524393,524329,590002,524297,524425,524361,590066,459010,524373,524309,524573,459026,524405,524341,590026,459018,524389,524325,589994,524293,524421,524357,590058,459014,524381,524317,589978,459030,524413,524349,590042,459022,524397,524333,590010,524301,524429,524365,590074,459009,524371,524307,524571,459025,524403,524339,590022,459017,524387,524323,589990,524291,524419,524355,590054,459013,524379,524315,589974,459029,524411,524347,590038,459021,524395,524331,590006,524299,524427,524363,590070,459011,524375,524311,524575,459027,524407,524343,590030,459019,524391,524327,589998,524295,524423,524359,590062,459015,524383,524319,589982,459031,524415,524351,590046,459023,524399,524335,590014,524303,524431,524367,590078,459008,524368,524304,524568,459024,524400,524336,590017,459016,524384,524320,589985,524288,524416,524352,590049,459012,524376,524312,589969,459028,524408,524344,590033,459020,524392,524328,590001,524296,524424,524360,590065,459010,524372,524308,524572,459026,524404,524340,590025,459018,524388,524324,589993,524292,524420,524356,590057,459014,524380,524316,589977,459030,524412,524348,590041,459022,524396,524332,590009,524300,524428,524364,590073,459009,524370,524306,524570,459025,524402,524338,590021,459017,524386,524322,589989,524290,524418,524354,590053,459013,524378,524314,589973,459029,524410,524346,590037,459021,524394,524330,590005,524298,524426,524362,590069,459011,524374,524310,524574,459027,524406,524342,590029,459019,524390,524326,589997,524294,524422,524358,590061,459015,524382,524318,589981,459031,524414,524350,590045,459023,524398,524334,590013,524302,524430,524366,590077,459008,524369,524305,524569,459024,524401,524337,590019,459016,524385,524321,589987,524289,524417,524353,590051,459012,524377,524313,589971,459028,524409,524345,590035,459020,524393,524329,590003,524297,524425,524361,590067,459010,524373,524309,524573,459026,524405,524341,590027,459018,524389,524325,589995,524293,524421,524357,590059,459014,524381,524317,589979,459030,524413,524349,590043,459022,524397,524333,590011,524301,524429,524365,590075,459009,524371,524307,524571,459025,524403,524339,590023,459017,524387,524323,589991,524291,524419,524355,590055,459013,524379,524315,589975,459029,524411,524347,590039,459021,524395,524331,590007,524299,524427,524363,590071,459011,524375,524311,524575,459027,524407,524343,590031,459019,524391,524327,589999,524295,524423,524359,590063,459015,524383,524319,589983,459031,524415,524351,590047,459023,524399,524335,590015,524303,524431,524367,590079]),9],or=[new Int32Array([327680,327696,327688,327704,327684,327700,327692,327708,327682,327698,327690,327706,327686,327702,327694,0,327681,327697,327689,327705,327685,327701,327693,327709,327683,327699,327691,327707,327687,327703,327695,0]),5];class FlateStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict;const a=e.getByte(),r=e.getByte();if(-1===a||-1===r)throw new FormatError(`Invalid header in flate stream: ${a}, ${r}`);if(8!=(15&a))throw new FormatError(`Unknown compression method in flate stream: ${a}, ${r}`);if(((a<<8)+r)%31!=0)throw new FormatError(`Bad FCHECK in flate stream: ${a}, ${r}`);if(32&r)throw new FormatError(`FDICT bit set in flate stream: ${a}, ${r}`);this.codeSize=0;this.codeBuf=0}async getImageData(e,t){const a=await this.asyncGetBytes();return a?a.length<=e?a:a.subarray(0,e):this.getBytes(e)}async asyncGetBytes(){this.str.reset();const e=this.str.getBytes();try{const{readable:t,writable:a}=new DecompressionStream("deflate"),r=a.getWriter();await r.ready;r.write(e).then((async()=>{await r.ready;await r.close()})).catch((()=>{}));const i=[];let n=0;for await(const e of t){i.push(e);n+=e.byteLength}const s=new Uint8Array(n);let o=0;for(const e of i){s.set(e,o);o+=e.byteLength}return s}catch{this.str=new Stream(e,2,e.length,this.str.dict);this.reset();return null}}get isAsync(){return!0}getBits(e){const t=this.str;let a,r=this.codeSize,i=this.codeBuf;for(;r<e;){if(-1===(a=t.getByte()))throw new FormatError("Bad encoding in flate stream");i|=a<<r;r+=8}a=i&(1<<e)-1;this.codeBuf=i>>e;this.codeSize=r-=e;return a}getCode(e){const t=this.str,a=e[0],r=e[1];let i,n=this.codeSize,s=this.codeBuf;for(;n<r&&-1!==(i=t.getByte());){s|=i<<n;n+=8}const o=a[s&(1<<r)-1],c=o>>16,l=65535&o;if(c<1||n<c)throw new FormatError("Bad encoding in flate stream");this.codeBuf=s>>c;this.codeSize=n-c;return l}generateHuffmanTable(e){const t=e.length;let a,r=0;for(a=0;a<t;++a)e[a]>r&&(r=e[a]);const i=1<<r,n=new Int32Array(i);for(let s=1,o=0,c=2;s<=r;++s,o<<=1,c<<=1)for(let r=0;r<t;++r)if(e[r]===s){let e=0,t=o;for(a=0;a<s;++a){e=e<<1|1&t;t>>=1}for(a=e;a<i;a+=c)n[a]=s<<16|r;++o}return[n,r]}#X(e){info(e);this.eof=!0}readBlock(){let e,t,a;const r=this.str;try{t=this.getBits(3)}catch(e){this.#X(e.message);return}1&t&&(this.eof=!0);t>>=1;if(0===t){let t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let a=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}a|=t<<8;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let i=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}i|=t<<8;if(i!==(65535&~a)&&(0!==a||0!==i))throw new FormatError("Bad uncompressed block length in flate stream");this.codeBuf=0;this.codeSize=0;const n=this.bufferLength,s=n+a;e=this.ensureBuffer(s);this.bufferLength=s;if(0===a)-1===r.peekByte()&&(this.eof=!0);else{const t=r.getBytes(a);e.set(t,n);t.length<a&&(this.eof=!0)}return}let i,n;if(1===t){i=sr;n=or}else{if(2!==t)throw new FormatError("Unknown block type in flate stream");{const e=this.getBits(5)+257,t=this.getBits(5)+1,r=this.getBits(4)+4,s=new Uint8Array(rr.length);let o;for(o=0;o<r;++o)s[rr[o]]=this.getBits(3);const c=this.generateHuffmanTable(s);a=0;o=0;const l=e+t,h=new Uint8Array(l);let u,d,f;for(;o<l;){const e=this.getCode(c);if(16===e){u=2;d=3;f=a}else if(17===e){u=3;d=3;f=a=0}else{if(18!==e){h[o++]=a=e;continue}u=7;d=11;f=a=0}let t=this.getBits(u)+d;for(;t-- >0;)h[o++]=f}i=this.generateHuffmanTable(h.subarray(0,e));n=this.generateHuffmanTable(h.subarray(e,l))}}e=this.buffer;let s=e?e.length:0,o=this.bufferLength;for(;;){let t=this.getCode(i);if(t<256){if(o+1>=s){e=this.ensureBuffer(o+1);s=e.length}e[o++]=t;continue}if(256===t){this.bufferLength=o;return}t-=257;t=ir[t];let r=t>>16;r>0&&(r=this.getBits(r));a=(65535&t)+r;t=this.getCode(n);t=nr[t];r=t>>16;r>0&&(r=this.getBits(r));const c=(65535&t)+r;if(o+a>=s){e=this.ensureBuffer(o+a);s=e.length}for(let t=0;t<a;++t,++o)e[o]=e[o-c]}}}const cr=[{qe:22017,nmps:1,nlps:1,switchFlag:1},{qe:13313,nmps:2,nlps:6,switchFlag:0},{qe:6145,nmps:3,nlps:9,switchFlag:0},{qe:2753,nmps:4,nlps:12,switchFlag:0},{qe:1313,nmps:5,nlps:29,switchFlag:0},{qe:545,nmps:38,nlps:33,switchFlag:0},{qe:22017,nmps:7,nlps:6,switchFlag:1},{qe:21505,nmps:8,nlps:14,switchFlag:0},{qe:18433,nmps:9,nlps:14,switchFlag:0},{qe:14337,nmps:10,nlps:14,switchFlag:0},{qe:12289,nmps:11,nlps:17,switchFlag:0},{qe:9217,nmps:12,nlps:18,switchFlag:0},{qe:7169,nmps:13,nlps:20,switchFlag:0},{qe:5633,nmps:29,nlps:21,switchFlag:0},{qe:22017,nmps:15,nlps:14,switchFlag:1},{qe:21505,nmps:16,nlps:14,switchFlag:0},{qe:20737,nmps:17,nlps:15,switchFlag:0},{qe:18433,nmps:18,nlps:16,switchFlag:0},{qe:14337,nmps:19,nlps:17,switchFlag:0},{qe:13313,nmps:20,nlps:18,switchFlag:0},{qe:12289,nmps:21,nlps:19,switchFlag:0},{qe:10241,nmps:22,nlps:19,switchFlag:0},{qe:9217,nmps:23,nlps:20,switchFlag:0},{qe:8705,nmps:24,nlps:21,switchFlag:0},{qe:7169,nmps:25,nlps:22,switchFlag:0},{qe:6145,nmps:26,nlps:23,switchFlag:0},{qe:5633,nmps:27,nlps:24,switchFlag:0},{qe:5121,nmps:28,nlps:25,switchFlag:0},{qe:4609,nmps:29,nlps:26,switchFlag:0},{qe:4353,nmps:30,nlps:27,switchFlag:0},{qe:2753,nmps:31,nlps:28,switchFlag:0},{qe:2497,nmps:32,nlps:29,switchFlag:0},{qe:2209,nmps:33,nlps:30,switchFlag:0},{qe:1313,nmps:34,nlps:31,switchFlag:0},{qe:1089,nmps:35,nlps:32,switchFlag:0},{qe:673,nmps:36,nlps:33,switchFlag:0},{qe:545,nmps:37,nlps:34,switchFlag:0},{qe:321,nmps:38,nlps:35,switchFlag:0},{qe:273,nmps:39,nlps:36,switchFlag:0},{qe:133,nmps:40,nlps:37,switchFlag:0},{qe:73,nmps:41,nlps:38,switchFlag:0},{qe:37,nmps:42,nlps:39,switchFlag:0},{qe:21,nmps:43,nlps:40,switchFlag:0},{qe:9,nmps:44,nlps:41,switchFlag:0},{qe:5,nmps:45,nlps:42,switchFlag:0},{qe:1,nmps:45,nlps:43,switchFlag:0},{qe:22017,nmps:46,nlps:46,switchFlag:0}];class ArithmeticDecoder{constructor(e,t,a){this.data=e;this.bp=t;this.dataEnd=a;this.chigh=e[t];this.clow=0;this.byteIn();this.chigh=this.chigh<<7&65535|this.clow>>9&127;this.clow=this.clow<<7&65535;this.ct-=7;this.a=32768}byteIn(){const e=this.data;let t=this.bp;if(255===e[t])if(e[t+1]>143){this.clow+=65280;this.ct=8}else{t++;this.clow+=e[t]<<9;this.ct=7;this.bp=t}else{t++;this.clow+=t<this.dataEnd?e[t]<<8:65280;this.ct=8;this.bp=t}if(this.clow>65535){this.chigh+=this.clow>>16;this.clow&=65535}}readBit(e,t){let a=e[t]>>1,r=1&e[t];const i=cr[a],n=i.qe;let s,o=this.a-n;if(this.chigh<n)if(o<n){o=n;s=r;a=i.nmps}else{o=n;s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{this.chigh-=n;if(32768&o){this.a=o;return r}if(o<n){s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{s=r;a=i.nmps}}do{0===this.ct&&this.byteIn();o<<=1;this.chigh=this.chigh<<1&65535|this.clow>>15&1;this.clow=this.clow<<1&65535;this.ct--}while(!(32768&o));this.a=o;e[t]=a<<1|r;return s}}class Jbig2Error extends fa{constructor(e){super(e,"Jbig2Error")}}class ContextCache{getContexts(e){return e in this?this[e]:this[e]=new Int8Array(65536)}}class DecodingContext{constructor(e,t,a){this.data=e;this.start=t;this.end=a}get decoder(){return shadow(this,"decoder",new ArithmeticDecoder(this.data,this.start,this.end))}get contextCache(){return shadow(this,"contextCache",new ContextCache)}}function decodeInteger(e,t,a){const r=e.getContexts(t);let i=1;function readBits(e){let t=0;for(let n=0;n<e;n++){const e=a.readBit(r,i);i=i<256?i<<1|e:511&(i<<1|e)|256;t=t<<1|e}return t>>>0}const n=readBits(1),s=readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(32)+4436:readBits(12)+340:readBits(8)+84:readBits(6)+20:readBits(4)+4:readBits(2);let o;0===n?o=s:s>0&&(o=-s);return o>=-2147483648&&o<=va?o:null}function decodeIAID(e,t,a){const r=e.getContexts("IAID");let i=1;for(let e=0;e<a;e++){i=i<<1|t.readBit(r,i)}return a<31?i&(1<<a)-1:2147483647&i}const lr=["SymbolDictionary",null,null,null,"IntermediateTextRegion",null,"ImmediateTextRegion","ImmediateLosslessTextRegion",null,null,null,null,null,null,null,null,"PatternDictionary",null,null,null,"IntermediateHalftoneRegion",null,"ImmediateHalftoneRegion","ImmediateLosslessHalftoneRegion",null,null,null,null,null,null,null,null,null,null,null,null,"IntermediateGenericRegion",null,"ImmediateGenericRegion","ImmediateLosslessGenericRegion","IntermediateGenericRefinementRegion",null,"ImmediateGenericRefinementRegion","ImmediateLosslessGenericRefinementRegion",null,null,null,null,"PageInformation","EndOfPage","EndOfStripe","EndOfFile","Profiles","Tables",null,null,null,null,null,null,null,null,"Extension"],hr=[[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:2,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-2,y:0},{x:-1,y:0}],[{x:-3,y:-1},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}]],ur=[{coding:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:-1,y:1},{x:0,y:1},{x:1,y:1}]},{coding:[{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference:[{x:0,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:0,y:1},{x:1,y:1}]}],dr=[39717,1941,229,405],fr=[32,8];function decodeBitmap(e,t,a,r,i,n,s,o){if(e){return decodeMMRBitmap(new Reader(o.data,o.start,o.end),t,a,!1)}if(0===r&&!n&&!i&&4===s.length&&3===s[0].x&&-1===s[0].y&&-3===s[1].x&&-1===s[1].y&&2===s[2].x&&-2===s[2].y&&-2===s[3].x&&-2===s[3].y)return function decodeBitmapTemplate0(e,t,a){const r=a.decoder,i=a.contextCache.getContexts("GB"),n=[];let s,o,c,l,h,u,d;for(o=0;o<t;o++){h=n[o]=new Uint8Array(e);u=o<1?h:n[o-1];d=o<2?h:n[o-2];s=d[0]<<13|d[1]<<12|d[2]<<11|u[0]<<7|u[1]<<6|u[2]<<5|u[3]<<4;for(c=0;c<e;c++){h[c]=l=r.readBit(i,s);s=(31735&s)<<1|(c+3<e?d[c+3]<<11:0)|(c+4<e?u[c+4]<<4:0)|l}}return n}(t,a,o);const c=!!n,l=hr[r].concat(s);l.sort(((e,t)=>e.y-t.y||e.x-t.x));const h=l.length,u=new Int8Array(h),d=new Int8Array(h),f=[];let g,p,m=0,b=0,y=0,w=0;for(p=0;p<h;p++){u[p]=l[p].x;d[p]=l[p].y;b=Math.min(b,l[p].x);y=Math.max(y,l[p].x);w=Math.min(w,l[p].y);p<h-1&&l[p].y===l[p+1].y&&l[p].x===l[p+1].x-1?m|=1<<h-1-p:f.push(p)}const x=f.length,S=new Int8Array(x),k=new Int8Array(x),C=new Uint16Array(x);for(g=0;g<x;g++){p=f[g];S[g]=l[p].x;k[g]=l[p].y;C[g]=1<<h-1-p}const v=-b,F=-w,T=t-y,O=dr[r];let M=new Uint8Array(t);const D=[],R=o.decoder,N=o.contextCache.getContexts("GB");let E,L,j,_,U,X=0,q=0;for(let e=0;e<a;e++){if(i){X^=R.readBit(N,O);if(X){D.push(M);continue}}M=new Uint8Array(M);D.push(M);for(E=0;E<t;E++){if(c&&n[e][E]){M[E]=0;continue}if(E>=v&&E<T&&e>=F){q=q<<1&m;for(p=0;p<x;p++){L=e+k[p];j=E+S[p];_=D[L][j];if(_){_=C[p];q|=_}}}else{q=0;U=h-1;for(p=0;p<h;p++,U--){j=E+u[p];if(j>=0&&j<t){L=e+d[p];if(L>=0){_=D[L][j];_&&(q|=_<<U)}}}}const a=R.readBit(N,q);M[E]=a}}return D}function decodeRefinement(e,t,a,r,i,n,s,o,c){let l=ur[a].coding;0===a&&(l=l.concat([o[0]]));const h=l.length,u=new Int32Array(h),d=new Int32Array(h);let f;for(f=0;f<h;f++){u[f]=l[f].x;d[f]=l[f].y}let g=ur[a].reference;0===a&&(g=g.concat([o[1]]));const p=g.length,m=new Int32Array(p),b=new Int32Array(p);for(f=0;f<p;f++){m[f]=g[f].x;b[f]=g[f].y}const y=r[0].length,w=r.length,x=fr[a],S=[],k=c.decoder,C=c.contextCache.getContexts("GR");let v=0;for(let a=0;a<t;a++){if(s){v^=k.readBit(C,x);if(v)throw new Jbig2Error("prediction is not supported")}const t=new Uint8Array(e);S.push(t);for(let s=0;s<e;s++){let o,c,l=0;for(f=0;f<h;f++){o=a+d[f];c=s+u[f];o<0||c<0||c>=e?l<<=1:l=l<<1|S[o][c]}for(f=0;f<p;f++){o=a+b[f]-n;c=s+m[f]-i;o<0||o>=w||c<0||c>=y?l<<=1:l=l<<1|r[o][c]}const g=k.readBit(C,l);t[s]=g}}return S}function decodeTextRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g,p,m,b,y){if(e&&t)throw new Jbig2Error("refinement with Huffman is not supported");const w=[];let x,S;for(x=0;x<r;x++){S=new Uint8Array(a);i&&S.fill(i);w.push(S)}const k=m.decoder,C=m.contextCache;let v=e?-f.tableDeltaT.decode(y):-decodeInteger(C,"IADT",k),F=0;x=0;for(;x<n;){v+=e?f.tableDeltaT.decode(y):decodeInteger(C,"IADT",k);F+=e?f.tableFirstS.decode(y):decodeInteger(C,"IAFS",k);let r=F;for(;;){let i=0;s>1&&(i=e?y.readBits(b):decodeInteger(C,"IAIT",k));const n=s*v+i,F=e?f.symbolIDTable.decode(y):decodeIAID(C,k,c),T=t&&(e?y.readBit():decodeInteger(C,"IARI",k));let O=o[F],M=O[0].length,D=O.length;if(T){const e=decodeInteger(C,"IARDW",k),t=decodeInteger(C,"IARDH",k);M+=e;D+=t;O=decodeRefinement(M,D,g,O,(e>>1)+decodeInteger(C,"IARDX",k),(t>>1)+decodeInteger(C,"IARDY",k),!1,p,m)}let R=0;l?1&u?R=D-1:r+=D-1:u>1?r+=M-1:R=M-1;const N=n-(1&u?0:D-1),E=r-(2&u?M-1:0);let L,j,_;if(l)for(L=0;L<D;L++){S=w[E+L];if(!S)continue;_=O[L];const e=Math.min(a-N,M);switch(d){case 0:for(j=0;j<e;j++)S[N+j]|=_[j];break;case 2:for(j=0;j<e;j++)S[N+j]^=_[j];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}else for(j=0;j<D;j++){S=w[N+j];if(S){_=O[j];switch(d){case 0:for(L=0;L<M;L++)S[E+L]|=_[L];break;case 2:for(L=0;L<M;L++)S[E+L]^=_[L];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}}x++;const U=e?f.tableDeltaS.decode(y):decodeInteger(C,"IADS",k);if(null===U)break;r+=R+U+h}}return w}function readSegmentHeader(e,t){const a={};a.number=readUint32(e,t);const r=e[t+4],i=63&r;if(!lr[i])throw new Jbig2Error("invalid segment type: "+i);a.type=i;a.typeName=lr[i];a.deferredNonRetain=!!(128&r);const n=!!(64&r),s=e[t+5];let o=s>>5&7;const c=[31&s];let l=t+6;if(7===s){o=536870911&readUint32(e,l-1);l+=3;let t=o+7>>3;c[0]=e[l++];for(;--t>0;)c.push(e[l++])}else if(5===s||6===s)throw new Jbig2Error("invalid referred-to flags");a.retainBits=c;let h=4;a.number<=256?h=1:a.number<=65536&&(h=2);const u=[];let d,f;for(d=0;d<o;d++){let t;t=1===h?e[l]:2===h?readUint16(e,l):readUint32(e,l);u.push(t);l+=h}a.referredTo=u;if(n){a.pageAssociation=readUint32(e,l);l+=4}else a.pageAssociation=e[l++];a.length=readUint32(e,l);l+=4;if(4294967295===a.length){if(38!==i)throw new Jbig2Error("invalid unknown segment length");{const t=readRegionSegmentInformation(e,l),r=!!(1&e[l+gr]),i=6,n=new Uint8Array(i);if(!r){n[0]=255;n[1]=172}n[2]=t.height>>>24&255;n[3]=t.height>>16&255;n[4]=t.height>>8&255;n[5]=255&t.height;for(d=l,f=e.length;d<f;d++){let t=0;for(;t<i&&n[t]===e[d+t];)t++;if(t===i){a.length=d+i;break}}if(4294967295===a.length)throw new Jbig2Error("segment end was not found")}}a.headerEnd=l;return a}function readSegments(e,t,a,r){const i=[];let n=a;for(;n<r;){const a=readSegmentHeader(t,n);n=a.headerEnd;const r={header:a,data:t};if(!e.randomAccess){r.start=n;n+=a.length;r.end=n}i.push(r);if(51===a.type)break}if(e.randomAccess)for(let e=0,t=i.length;e<t;e++){i[e].start=n;n+=i[e].header.length;i[e].end=n}return i}function readRegionSegmentInformation(e,t){return{width:readUint32(e,t),height:readUint32(e,t+4),x:readUint32(e,t+8),y:readUint32(e,t+12),combinationOperator:7&e[t+16]}}const gr=17;function processSegment(e,t){const a=e.header,r=e.data,i=e.end;let n,s,o,c,l=e.start;switch(a.type){case 0:const e={},t=readUint16(r,l);e.huffman=!!(1&t);e.refinement=!!(2&t);e.huffmanDHSelector=t>>2&3;e.huffmanDWSelector=t>>4&3;e.bitmapSizeSelector=t>>6&1;e.aggregationInstancesSelector=t>>7&1;e.bitmapCodingContextUsed=!!(256&t);e.bitmapCodingContextRetained=!!(512&t);e.template=t>>10&3;e.refinementTemplate=t>>12&1;l+=2;if(!e.huffman){c=0===e.template?4:1;s=[];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.at=s}if(e.refinement&&!e.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.refinementAt=s}e.numberOfExportedSymbols=readUint32(r,l);l+=4;e.numberOfNewSymbols=readUint32(r,l);l+=4;n=[e,a.number,a.referredTo,r,l,i];break;case 6:case 7:const h={};h.info=readRegionSegmentInformation(r,l);l+=gr;const u=readUint16(r,l);l+=2;h.huffman=!!(1&u);h.refinement=!!(2&u);h.logStripSize=u>>2&3;h.stripSize=1<<h.logStripSize;h.referenceCorner=u>>4&3;h.transposed=!!(64&u);h.combinationOperator=u>>7&3;h.defaultPixelValue=u>>9&1;h.dsOffset=u<<17>>27;h.refinementTemplate=u>>15&1;if(h.huffman){const e=readUint16(r,l);l+=2;h.huffmanFS=3&e;h.huffmanDS=e>>2&3;h.huffmanDT=e>>4&3;h.huffmanRefinementDW=e>>6&3;h.huffmanRefinementDH=e>>8&3;h.huffmanRefinementDX=e>>10&3;h.huffmanRefinementDY=e>>12&3;h.huffmanRefinementSizeSelector=!!(16384&e)}if(h.refinement&&!h.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}h.refinementAt=s}h.numberOfSymbolInstances=readUint32(r,l);l+=4;n=[h,a.referredTo,r,l,i];break;case 16:const d={},f=r[l++];d.mmr=!!(1&f);d.template=f>>1&3;d.patternWidth=r[l++];d.patternHeight=r[l++];d.maxPatternIndex=readUint32(r,l);l+=4;n=[d,a.number,r,l,i];break;case 22:case 23:const g={};g.info=readRegionSegmentInformation(r,l);l+=gr;const p=r[l++];g.mmr=!!(1&p);g.template=p>>1&3;g.enableSkip=!!(8&p);g.combinationOperator=p>>4&7;g.defaultPixelValue=p>>7&1;g.gridWidth=readUint32(r,l);l+=4;g.gridHeight=readUint32(r,l);l+=4;g.gridOffsetX=4294967295&readUint32(r,l);l+=4;g.gridOffsetY=4294967295&readUint32(r,l);l+=4;g.gridVectorX=readUint16(r,l);l+=2;g.gridVectorY=readUint16(r,l);l+=2;n=[g,a.referredTo,r,l,i];break;case 38:case 39:const m={};m.info=readRegionSegmentInformation(r,l);l+=gr;const b=r[l++];m.mmr=!!(1&b);m.template=b>>1&3;m.prediction=!!(8&b);if(!m.mmr){c=0===m.template?4:1;s=[];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}m.at=s}n=[m,r,l,i];break;case 48:const y={width:readUint32(r,l),height:readUint32(r,l+4),resolutionX:readUint32(r,l+8),resolutionY:readUint32(r,l+12)};4294967295===y.height&&delete y.height;const w=r[l+16];readUint16(r,l+17);y.lossless=!!(1&w);y.refinement=!!(2&w);y.defaultPixelValue=w>>2&1;y.combinationOperator=w>>3&3;y.requiresBuffer=!!(32&w);y.combinationOperatorOverride=!!(64&w);n=[y];break;case 49:case 50:case 51:case 62:break;case 53:n=[a.number,r,l,i];break;default:throw new Jbig2Error(`segment type ${a.typeName}(${a.type}) is not implemented`)}const h="on"+a.typeName;h in t&&t[h].apply(t,n)}function processSegments(e,t){for(let a=0,r=e.length;a<r;a++)processSegment(e[a],t)}class SimpleSegmentVisitor{onPageInformation(e){this.currentPageInfo=e;const t=e.width+7>>3,a=new Uint8ClampedArray(t*e.height);e.defaultPixelValue&&a.fill(255);this.buffer=a}drawBitmap(e,t){const a=this.currentPageInfo,r=e.width,i=e.height,n=a.width+7>>3,s=a.combinationOperatorOverride?e.combinationOperator:a.combinationOperator,o=this.buffer,c=128>>(7&e.x);let l,h,u,d,f=e.y*n+(e.x>>3);switch(s){case 0:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]|=u);u>>=1;if(!u){u=128;d++}}f+=n}break;case 2:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]^=u);u>>=1;if(!u){u=128;d++}}f+=n}break;default:throw new Jbig2Error(`operator ${s} is not supported`)}}onImmediateGenericRegion(e,t,a,r){const i=e.info,n=new DecodingContext(t,a,r),s=decodeBitmap(e.mmr,i.width,i.height,e.template,e.prediction,null,e.at,n);this.drawBitmap(i,s)}onImmediateLosslessGenericRegion(){this.onImmediateGenericRegion(...arguments)}onSymbolDictionary(e,t,a,r,i,n){let s,o;if(e.huffman){s=function getSymbolDictionaryHuffmanTables(e,t,a){let r,i,n,s,o=0;switch(e.huffmanDHSelector){case 0:case 1:r=getStandardTable(e.huffmanDHSelector+4);break;case 3:r=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DH selector")}switch(e.huffmanDWSelector){case 0:case 1:i=getStandardTable(e.huffmanDWSelector+2);break;case 3:i=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DW selector")}if(e.bitmapSizeSelector){n=getCustomHuffmanTable(o,t,a);o++}else n=getStandardTable(1);s=e.aggregationInstancesSelector?getCustomHuffmanTable(o,t,a):getStandardTable(1);return{tableDeltaHeight:r,tableDeltaWidth:i,tableBitmapSize:n,tableAggregateInstances:s}}(e,a,this.customTables);o=new Reader(r,i,n)}let c=this.symbols;c||(this.symbols=c={});const l=[];for(const e of a){const t=c[e];t&&l.push(...t)}const h=new DecodingContext(r,i,n);c[t]=function decodeSymbolDictionary(e,t,a,r,i,n,s,o,c,l,h,u){if(e&&t)throw new Jbig2Error("symbol refinement with Huffman is not supported");const d=[];let f=0,g=log2(a.length+r);const p=h.decoder,m=h.contextCache;let b,y;if(e){b=getStandardTable(1);y=[];g=Math.max(g,1)}for(;d.length<r;){f+=e?n.tableDeltaHeight.decode(u):decodeInteger(m,"IADH",p);let r=0,i=0;const b=e?y.length:0;for(;;){const b=e?n.tableDeltaWidth.decode(u):decodeInteger(m,"IADW",p);if(null===b)break;r+=b;i+=r;let w;if(t){const i=decodeInteger(m,"IAAI",p);if(i>1)w=decodeTextRegion(e,t,r,f,0,i,1,a.concat(d),g,0,0,1,0,n,c,l,h,0,u);else{const e=decodeIAID(m,p,g),t=decodeInteger(m,"IARDX",p),i=decodeInteger(m,"IARDY",p);w=decodeRefinement(r,f,c,e<a.length?a[e]:d[e-a.length],t,i,!1,l,h)}d.push(w)}else if(e)y.push(r);else{w=decodeBitmap(!1,r,f,s,!1,null,o,h);d.push(w)}}if(e&&!t){const e=n.tableBitmapSize.decode(u);u.byteAlign();let t;if(0===e)t=readUncompressedBitmap(u,i,f);else{const a=u.end,r=u.position+e;u.end=r;t=decodeMMRBitmap(u,i,f,!1);u.end=a;u.position=r}const a=y.length;if(b===a-1)d.push(t);else{let e,r,i,n,s,o=0;for(e=b;e<a;e++){n=y[e];i=o+n;s=[];for(r=0;r<f;r++)s.push(t[r].subarray(o,i));d.push(s);o=i}}}}const w=[],x=[];let S,k,C=!1;const v=a.length+r;for(;x.length<v;){let t=e?b.decode(u):decodeInteger(m,"IAEX",p);for(;t--;)x.push(C);C=!C}for(S=0,k=a.length;S<k;S++)x[S]&&w.push(a[S]);for(let e=0;e<r;S++,e++)x[S]&&w.push(d[e]);return w}(e.huffman,e.refinement,l,e.numberOfNewSymbols,e.numberOfExportedSymbols,s,e.template,e.at,e.refinementTemplate,e.refinementAt,h,o)}onImmediateTextRegion(e,t,a,r,i){const n=e.info;let s,o;const c=this.symbols,l=[];for(const e of t){const t=c[e];t&&l.push(...t)}const h=log2(l.length);if(e.huffman){o=new Reader(a,r,i);s=function getTextRegionHuffmanTables(e,t,a,r,i){const n=[];for(let e=0;e<=34;e++){const t=i.readBits(4);n.push(new HuffmanLine([e,t,0,0]))}const s=new HuffmanTable(n,!1);n.length=0;for(let e=0;e<r;){const t=s.decode(i);if(t>=32){let a,r,s;switch(t){case 32:if(0===e)throw new Jbig2Error("no previous value in symbol ID table");r=i.readBits(2)+3;a=n[e-1].prefixLength;break;case 33:r=i.readBits(3)+3;a=0;break;case 34:r=i.readBits(7)+11;a=0;break;default:throw new Jbig2Error("invalid code length in symbol ID table")}for(s=0;s<r;s++){n.push(new HuffmanLine([e,a,0,0]));e++}}else{n.push(new HuffmanLine([e,t,0,0]));e++}}i.byteAlign();const o=new HuffmanTable(n,!1);let c,l,h,u=0;switch(e.huffmanFS){case 0:case 1:c=getStandardTable(e.huffmanFS+6);break;case 3:c=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman FS selector")}switch(e.huffmanDS){case 0:case 1:case 2:l=getStandardTable(e.huffmanDS+8);break;case 3:l=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman DS selector")}switch(e.huffmanDT){case 0:case 1:case 2:h=getStandardTable(e.huffmanDT+11);break;case 3:h=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman DT selector")}if(e.refinement)throw new Jbig2Error("refinement with Huffman is not supported");return{symbolIDTable:o,tableFirstS:c,tableDeltaS:l,tableDeltaT:h}}(e,t,this.customTables,l.length,o)}const u=new DecodingContext(a,r,i),d=decodeTextRegion(e.huffman,e.refinement,n.width,n.height,e.defaultPixelValue,e.numberOfSymbolInstances,e.stripSize,l,h,e.transposed,e.dsOffset,e.referenceCorner,e.combinationOperator,s,e.refinementTemplate,e.refinementAt,u,e.logStripSize,o);this.drawBitmap(n,d)}onImmediateLosslessTextRegion(){this.onImmediateTextRegion(...arguments)}onPatternDictionary(e,t,a,r,i){let n=this.patterns;n||(this.patterns=n={});const s=new DecodingContext(a,r,i);n[t]=function decodePatternDictionary(e,t,a,r,i,n){const s=[];if(!e){s.push({x:-t,y:0});0===i&&s.push({x:-3,y:-1},{x:2,y:-2},{x:-2,y:-2})}const o=decodeBitmap(e,(r+1)*t,a,i,!1,null,s,n),c=[];for(let e=0;e<=r;e++){const r=[],i=t*e,n=i+t;for(let e=0;e<a;e++)r.push(o[e].subarray(i,n));c.push(r)}return c}(e.mmr,e.patternWidth,e.patternHeight,e.maxPatternIndex,e.template,s)}onImmediateHalftoneRegion(e,t,a,r,i){const n=this.patterns[t[0]],s=e.info,o=new DecodingContext(a,r,i),c=function decodeHalftoneRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g){if(s)throw new Jbig2Error("skip is not supported");if(0!==o)throw new Jbig2Error(`operator "${o}" is not supported in halftone region`);const p=[];let m,b,y;for(m=0;m<i;m++){y=new Uint8Array(r);n&&y.fill(n);p.push(y)}const w=t.length,x=t[0],S=x[0].length,k=x.length,C=log2(w),v=[];if(!e){v.push({x:a<=1?3:2,y:-1});0===a&&v.push({x:-3,y:-1},{x:2,y:-2},{x:-2,y:-2})}const F=[];let T,O,M,D,R,N,E,L,j,_,U;e&&(T=new Reader(g.data,g.start,g.end));for(m=C-1;m>=0;m--){O=e?decodeMMRBitmap(T,c,l,!0):decodeBitmap(!1,c,l,a,!1,null,v,g);F[m]=O}for(M=0;M<l;M++)for(D=0;D<c;D++){R=0;N=0;for(b=C-1;b>=0;b--){R^=F[b][M][D];N|=R<<b}E=t[N];L=h+M*f+D*d>>8;j=u+M*d-D*f>>8;if(L>=0&&L+S<=r&&j>=0&&j+k<=i)for(m=0;m<k;m++){U=p[j+m];_=E[m];for(b=0;b<S;b++)U[L+b]|=_[b]}else{let e,t;for(m=0;m<k;m++){t=j+m;if(!(t<0||t>=i)){U=p[t];_=E[m];for(b=0;b<S;b++){e=L+b;e>=0&&e<r&&(U[e]|=_[b])}}}}}return p}(e.mmr,n,e.template,s.width,s.height,e.defaultPixelValue,e.enableSkip,e.combinationOperator,e.gridWidth,e.gridHeight,e.gridOffsetX,e.gridOffsetY,e.gridVectorX,e.gridVectorY,o);this.drawBitmap(s,c)}onImmediateLosslessHalftoneRegion(){this.onImmediateHalftoneRegion(...arguments)}onTables(e,t,a,r){let i=this.customTables;i||(this.customTables=i={});i[e]=function decodeTablesSegment(e,t,a){const r=e[t],i=4294967295&readUint32(e,t+1),n=4294967295&readUint32(e,t+5),s=new Reader(e,t+9,a),o=1+(r>>1&7),c=1+(r>>4&7),l=[];let h,u,d=i;do{h=s.readBits(o);u=s.readBits(c);l.push(new HuffmanLine([d,h,u,0]));d+=1<<u}while(d<n);h=s.readBits(o);l.push(new HuffmanLine([i-1,h,32,0,"lower"]));h=s.readBits(o);l.push(new HuffmanLine([n,h,32,0]));if(1&r){h=s.readBits(o);l.push(new HuffmanLine([h,0]))}return new HuffmanTable(l,!1)}(t,a,r)}}class HuffmanLine{constructor(e){if(2===e.length){this.isOOB=!0;this.rangeLow=0;this.prefixLength=e[0];this.rangeLength=0;this.prefixCode=e[1];this.isLowerRange=!1}else{this.isOOB=!1;this.rangeLow=e[0];this.prefixLength=e[1];this.rangeLength=e[2];this.prefixCode=e[3];this.isLowerRange="lower"===e[4]}}}class HuffmanTreeNode{constructor(e){this.children=[];if(e){this.isLeaf=!0;this.rangeLength=e.rangeLength;this.rangeLow=e.rangeLow;this.isLowerRange=e.isLowerRange;this.isOOB=e.isOOB}else this.isLeaf=!1}buildTree(e,t){const a=e.prefixCode>>t&1;if(t<=0)this.children[a]=new HuffmanTreeNode(e);else{let r=this.children[a];r||(this.children[a]=r=new HuffmanTreeNode(null));r.buildTree(e,t-1)}}decodeNode(e){if(this.isLeaf){if(this.isOOB)return null;const t=e.readBits(this.rangeLength);return this.rangeLow+(this.isLowerRange?-t:t)}const t=this.children[e.readBit()];if(!t)throw new Jbig2Error("invalid Huffman data");return t.decodeNode(e)}}class HuffmanTable{constructor(e,t){t||this.assignPrefixCodes(e);this.rootNode=new HuffmanTreeNode(null);for(let t=0,a=e.length;t<a;t++){const a=e[t];a.prefixLength>0&&this.rootNode.buildTree(a,a.prefixLength-1)}}decode(e){return this.rootNode.decodeNode(e)}assignPrefixCodes(e){const t=e.length;let a=0;for(let r=0;r<t;r++)a=Math.max(a,e[r].prefixLength);const r=new Uint32Array(a+1);for(let a=0;a<t;a++)r[e[a].prefixLength]++;let i,n,s,o=1,c=0;r[0]=0;for(;o<=a;){c=c+r[o-1]<<1;i=c;n=0;for(;n<t;){s=e[n];if(s.prefixLength===o){s.prefixCode=i;i++}n++}o++}}}const pr={};function getStandardTable(e){let t,a=pr[e];if(a)return a;switch(e){case 1:t=[[0,1,4,0],[16,2,8,2],[272,3,16,6],[65808,3,32,7]];break;case 2:t=[[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[75,6,32,62],[6,63]];break;case 3:t=[[-256,8,8,254],[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[-257,8,32,255,"lower"],[75,7,32,126],[6,62]];break;case 4:t=[[1,1,0,0],[2,2,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[76,5,32,31]];break;case 5:t=[[-255,7,8,126],[1,1,0,0],[2,2,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[-256,7,32,127,"lower"],[76,6,32,62]];break;case 6:t=[[-2048,5,10,28],[-1024,4,9,8],[-512,4,8,9],[-256,4,7,10],[-128,5,6,29],[-64,5,5,30],[-32,4,5,11],[0,2,7,0],[128,3,7,2],[256,3,8,3],[512,4,9,12],[1024,4,10,13],[-2049,6,32,62,"lower"],[2048,6,32,63]];break;case 7:t=[[-1024,4,9,8],[-512,3,8,0],[-256,4,7,9],[-128,5,6,26],[-64,5,5,27],[-32,4,5,10],[0,4,5,11],[32,5,5,28],[64,5,6,29],[128,4,7,12],[256,3,8,1],[512,3,9,2],[1024,3,10,3],[-1025,5,32,30,"lower"],[2048,5,32,31]];break;case 8:t=[[-15,8,3,252],[-7,9,1,508],[-5,8,1,253],[-3,9,0,509],[-2,7,0,124],[-1,4,0,10],[0,2,1,0],[2,5,0,26],[3,6,0,58],[4,3,4,4],[20,6,1,59],[22,4,4,11],[38,4,5,12],[70,5,6,27],[134,5,7,28],[262,6,7,60],[390,7,8,125],[646,6,10,61],[-16,9,32,510,"lower"],[1670,9,32,511],[2,1]];break;case 9:t=[[-31,8,4,252],[-15,9,2,508],[-11,8,2,253],[-7,9,1,509],[-5,7,1,124],[-3,4,1,10],[-1,3,1,2],[1,3,1,3],[3,5,1,26],[5,6,1,58],[7,3,5,4],[39,6,2,59],[43,4,5,11],[75,4,6,12],[139,5,7,27],[267,5,8,28],[523,6,8,60],[779,7,9,125],[1291,6,11,61],[-32,9,32,510,"lower"],[3339,9,32,511],[2,0]];break;case 10:t=[[-21,7,4,122],[-5,8,0,252],[-4,7,0,123],[-3,5,0,24],[-2,2,2,0],[2,5,0,25],[3,6,0,54],[4,7,0,124],[5,8,0,253],[6,2,6,1],[70,5,5,26],[102,6,5,55],[134,6,6,56],[198,6,7,57],[326,6,8,58],[582,6,9,59],[1094,6,10,60],[2118,7,11,125],[-22,8,32,254,"lower"],[4166,8,32,255],[2,2]];break;case 11:t=[[1,1,0,0],[2,2,1,2],[4,4,0,12],[5,4,1,13],[7,5,1,28],[9,5,2,29],[13,6,2,60],[17,7,2,122],[21,7,3,123],[29,7,4,124],[45,7,5,125],[77,7,6,126],[141,7,32,127]];break;case 12:t=[[1,1,0,0],[2,2,0,2],[3,3,1,6],[5,5,0,28],[6,5,1,29],[8,6,1,60],[10,7,0,122],[11,7,1,123],[13,7,2,124],[17,7,3,125],[25,7,4,126],[41,8,5,254],[73,8,32,255]];break;case 13:t=[[1,1,0,0],[2,3,0,4],[3,4,0,12],[4,5,0,28],[5,4,1,13],[7,3,3,5],[15,6,1,58],[17,6,2,59],[21,6,3,60],[29,6,4,61],[45,6,5,62],[77,7,6,126],[141,7,32,127]];break;case 14:t=[[-2,3,0,4],[-1,3,0,5],[0,1,0,0],[1,3,0,6],[2,3,0,7]];break;case 15:t=[[-24,7,4,124],[-8,6,2,60],[-4,5,1,28],[-2,4,0,12],[-1,3,0,4],[0,1,0,0],[1,3,0,5],[2,4,0,13],[3,5,1,29],[5,6,2,61],[9,7,4,125],[-25,7,32,126,"lower"],[25,7,32,127]];break;default:throw new Jbig2Error(`standard table B.${e} does not exist`)}for(let e=0,a=t.length;e<a;e++)t[e]=new HuffmanLine(t[e]);a=new HuffmanTable(t,!0);pr[e]=a;return a}class Reader{constructor(e,t,a){this.data=e;this.start=t;this.end=a;this.position=t;this.shift=-1;this.currentByte=0}readBit(){if(this.shift<0){if(this.position>=this.end)throw new Jbig2Error("end of data while reading bit");this.currentByte=this.data[this.position++];this.shift=7}const e=this.currentByte>>this.shift&1;this.shift--;return e}readBits(e){let t,a=0;for(t=e-1;t>=0;t--)a|=this.readBit()<<t;return a}byteAlign(){this.shift=-1}next(){return this.position>=this.end?-1:this.data[this.position++]}}function getCustomHuffmanTable(e,t,a){let r=0;for(let i=0,n=t.length;i<n;i++){const n=a[t[i]];if(n){if(e===r)return n;r++}}throw new Jbig2Error("can\'t find custom Huffman table")}function readUncompressedBitmap(e,t,a){const r=[];for(let i=0;i<a;i++){const a=new Uint8Array(t);r.push(a);for(let r=0;r<t;r++)a[r]=e.readBit();e.byteAlign()}return r}function decodeMMRBitmap(e,t,a,r){const i=new CCITTFaxDecoder(e,{K:-1,Columns:t,Rows:a,BlackIs1:!0,EndOfBlock:r}),n=[];let s,o=!1;for(let e=0;e<a;e++){const e=new Uint8Array(t);n.push(e);let a=-1;for(let r=0;r<t;r++){if(a<0){s=i.readNextChar();if(-1===s){s=0;o=!0}a=7}e[r]=s>>a&1;a--}}if(r&&!o){const e=5;for(let t=0;t<e&&-1!==i.readNextChar();t++);}return n}class Jbig2Image{parseChunks(e){return function parseJbig2Chunks(e){const t=new SimpleSegmentVisitor;for(let a=0,r=e.length;a<r;a++){const r=e[a];processSegments(readSegments({},r.data,r.start,r.end),t)}return t.buffer}(e)}parse(e){throw new Error("Not implemented: Jbig2Image.parse")}}class Jbig2Stream extends DecodeStream{constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}decodeImage(e){if(this.eof)return this.buffer;e||=this.bytes;const t=new Jbig2Image,a=[];if(this.params instanceof Dict){const e=this.params.get("JBIG2Globals");if(e instanceof BaseStream){const t=e.getBytes();a.push({data:t,start:0,end:t.length})}}a.push({data:e,start:0,end:e.length});const r=t.parseChunks(a),i=r.length;for(let e=0;e<i;e++)r[e]^=255;this.buffer=r;this.bufferLength=i;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class JpxStream extends DecodeStream{constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(e){unreachable("JpxStream.readBlock")}get isAsyncDecoder(){return!0}async decodeImage(e,t){if(this.eof)return this.buffer;e||=this.bytes;this.buffer=await JpxImage.decode(e,t);this.bufferLength=this.buffer.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class LZWStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.cachedData=0;this.bitsCached=0;const r=4096,i={earlyChange:a,codeLength:9,nextCode:258,dictionaryValues:new Uint8Array(r),dictionaryLengths:new Uint16Array(r),dictionaryPrevCodes:new Uint16Array(r),currentSequence:new Uint8Array(r),currentSequenceLength:0};for(let e=0;e<256;++e){i.dictionaryValues[e]=e;i.dictionaryLengths[e]=1}this.lzwState=i}readBits(e){let t=this.bitsCached,a=this.cachedData;for(;t<e;){const e=this.str.getByte();if(-1===e){this.eof=!0;return null}a=a<<8|e;t+=8}this.bitsCached=t-=e;this.cachedData=a;this.lastCode=null;return a>>>t&(1<<e)-1}readBlock(){let e,t,a,r=1024;const i=this.lzwState;if(!i)return;const n=i.earlyChange;let s=i.nextCode;const o=i.dictionaryValues,c=i.dictionaryLengths,l=i.dictionaryPrevCodes;let h=i.codeLength,u=i.prevCode;const d=i.currentSequence;let f=i.currentSequenceLength,g=0,p=this.bufferLength,m=this.ensureBuffer(this.bufferLength+r);for(e=0;e<512;e++){const e=this.readBits(h),i=f>0;if(e<256){d[0]=e;f=1}else{if(!(e>=258)){if(256===e){h=9;s=258;f=0;continue}this.eof=!0;delete this.lzwState;break}if(e<s){f=c[e];for(t=f-1,a=e;t>=0;t--){d[t]=o[a];a=l[a]}}else d[f++]=d[0]}if(i){l[s]=u;c[s]=c[u]+1;o[s]=d[0];s++;h=s+n&s+n-1?h:0|Math.min(Math.log(s+n)/.6931471805599453+1,12)}u=e;g+=f;if(r<g){do{r+=512}while(r<g);m=this.ensureBuffer(this.bufferLength+r)}for(t=0;t<f;t++)m[p++]=d[t]}i.nextCode=s;i.codeLength=h;i.prevCode=u;i.currentSequenceLength=f;this.bufferLength=p}}class PredictorStream extends DecodeStream{constructor(e,t,a){super(t);if(!(a instanceof Dict))return e;const r=this.predictor=a.get("Predictor")||1;if(r<=1)return e;if(2!==r&&(r<10||r>15))throw new FormatError(`Unsupported predictor: ${r}`);this.readBlock=2===r?this.readBlockTiff:this.readBlockPng;this.str=e;this.dict=e.dict;const i=this.colors=a.get("Colors")||1,n=this.bits=a.get("BPC","BitsPerComponent")||8,s=this.columns=a.get("Columns")||1;this.pixBytes=i*n+7>>3;this.rowBytes=s*i*n+7>>3;return this}readBlockTiff(){const e=this.rowBytes,t=this.bufferLength,a=this.ensureBuffer(t+e),r=this.bits,i=this.colors,n=this.str.getBytes(e);this.eof=!n.length;if(this.eof)return;let s,o=0,c=0,l=0,h=0,u=t;if(1===r&&1===i)for(s=0;s<e;++s){let e=n[s]^o;e^=e>>1;e^=e>>2;e^=e>>4;o=(1&e)<<7;a[u++]=e}else if(8===r){for(s=0;s<i;++s)a[u++]=n[s];for(;s<e;++s){a[u]=a[u-i]+n[s];u++}}else if(16===r){const t=2*i;for(s=0;s<t;++s)a[u++]=n[s];for(;s<e;s+=2){const e=((255&n[s])<<8)+(255&n[s+1])+((255&a[u-t])<<8)+(255&a[u-t+1]);a[u++]=e>>8&255;a[u++]=255&e}}else{const e=new Uint8Array(i+1),u=(1<<r)-1;let d=0,f=t;const g=this.columns;for(s=0;s<g;++s)for(let t=0;t<i;++t){if(l<r){o=o<<8|255&n[d++];l+=8}e[t]=e[t]+(o>>l-r)&u;l-=r;c=c<<r|e[t];h+=r;if(h>=8){a[f++]=c>>h-8&255;h-=8}}h>0&&(a[f++]=(c<<8-h)+(o&(1<<8-h)-1))}this.bufferLength+=e}readBlockPng(){const e=this.rowBytes,t=this.pixBytes,a=this.str.getByte(),r=this.str.getBytes(e);this.eof=!r.length;if(this.eof)return;const i=this.bufferLength,n=this.ensureBuffer(i+e);let s=n.subarray(i-e,i);0===s.length&&(s=new Uint8Array(e));let o,c,l,h=i;switch(a){case 0:for(o=0;o<e;++o)n[h++]=r[o];break;case 1:for(o=0;o<t;++o)n[h++]=r[o];for(;o<e;++o){n[h]=n[h-t]+r[o]&255;h++}break;case 2:for(o=0;o<e;++o)n[h++]=s[o]+r[o]&255;break;case 3:for(o=0;o<t;++o)n[h++]=(s[o]>>1)+r[o];for(;o<e;++o){n[h]=(s[o]+n[h-t]>>1)+r[o]&255;h++}break;case 4:for(o=0;o<t;++o){c=s[o];l=r[o];n[h++]=c+l}for(;o<e;++o){c=s[o];const e=s[o-t],a=n[h-t],i=a+c-e;let u=i-a;u<0&&(u=-u);let d=i-c;d<0&&(d=-d);let f=i-e;f<0&&(f=-f);l=r[o];n[h++]=u<=d&&u<=f?a+l:d<=f?c+l:e+l}break;default:throw new FormatError(`Unsupported predictor: ${a}`)}this.bufferLength+=e}}class RunLengthStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict}readBlock(){const e=this.str.getBytes(2);if(!e||e.length<2||128===e[0]){this.eof=!0;return}let t,a=this.bufferLength,r=e[0];if(r<128){t=this.ensureBuffer(a+r+1);t[a++]=e[1];if(r>0){const e=this.str.getBytes(r);t.set(e,a);a+=r}}else{r=257-r;t=this.ensureBuffer(a+r+1);t.fill(e[1],a,a+r);a+=r}this.bufferLength=a}}class Parser{constructor({lexer:e,xref:t,allowStreams:a=!1,recoveryMode:r=!1}){this.lexer=e;this.xref=t;this.allowStreams=a;this.recoveryMode=r;this.imageCache=Object.create(null);this._imageId=0;this.refill()}refill(){this.buf1=this.lexer.getObj();this.buf2=this.lexer.getObj()}shift(){if(this.buf2 instanceof Cmd&&"ID"===this.buf2.cmd){this.buf1=this.buf2;this.buf2=null}else{this.buf1=this.buf2;this.buf2=this.lexer.getObj()}}tryShift(){try{this.shift();return!0}catch(e){if(e instanceof MissingDataException)throw e;return!1}}getObj(e=null){const t=this.buf1;this.shift();if(t instanceof Cmd)switch(t.cmd){case"BI":return this.makeInlineImage(e);case"[":const a=[];for(;!isCmd(this.buf1,"]")&&this.buf1!==wa;)a.push(this.getObj(e));if(this.buf1===wa){if(this.recoveryMode)return a;throw new ParserEOFException("End of file inside array.")}this.shift();return a;case"<<":const r=new Dict(this.xref);for(;!isCmd(this.buf1,">>")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name)){info("Malformed dictionary: key must be a name object");this.shift();continue}const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r.set(t,this.getObj(e))}if(this.buf1===wa){if(this.recoveryMode)return r;throw new ParserEOFException("End of file inside dictionary.")}if(isCmd(this.buf2,"stream"))return this.allowStreams?this.makeStream(r,e):r;this.shift();return r;default:return t}if(Number.isInteger(t)){if(Number.isInteger(this.buf1)&&isCmd(this.buf2,"R")){const e=Ref.get(t,this.buf1);this.shift();this.shift();return e}return t}return"string"==typeof t&&e?e.decryptString(t):t}findDefaultInlineStreamEnd(e){const{knownCommands:t}=this.lexer,a=e.pos;let r,i,n=0;for(;-1!==(r=e.getByte());)if(0===n)n=69===r?1:0;else if(1===n)n=73===r?2:0;else if(32===r||10===r||13===r){i=e.pos;const a=e.peekBytes(15),s=a.length;if(0===s)break;for(let e=0;e<s;e++){r=a[e];if((0!==r||0===a[e+1])&&(10!==r&&13!==r&&(r<32||r>127))){n=0;break}}if(2!==n)continue;if(!t){warn("findDefaultInlineStreamEnd - `lexer.knownCommands` is undefined.");continue}const o=new Lexer(new Stream(e.peekBytes(75)),t);o._hexStringWarn=()=>{};let c=0;for(;;){const e=o.getObj();if(e===wa){n=0;break}if(e instanceof Cmd){const a=t[e.cmd];if(!a){n=0;break}if(a.variableArgs?c<=a.numArgs:c===a.numArgs)break;c=0}else c++}if(2===n)break}else n=0;if(-1===r){warn("findDefaultInlineStreamEnd: Reached the end of the stream without finding a valid EI marker");if(i){warn(\'... trying to recover by using the last "EI" occurrence.\');e.skip(-(e.pos-i))}}let s=4;e.skip(-s);r=e.peekByte();e.skip(s);isWhiteSpace(r)||s--;return e.pos-s-a}findDCTDecodeInlineStreamEnd(e){const t=e.pos;let a,r,i=!1;for(;-1!==(a=e.getByte());)if(255===a){switch(e.getByte()){case 0:break;case 255:e.skip(-1);break;case 217:i=!0;break;case 192:case 193:case 194:case 195:case 197:case 198:case 199:case 201:case 202:case 203:case 205:case 206:case 207:case 196:case 204:case 218:case 219:case 220:case 221:case 222:case 223:case 224:case 225:case 226:case 227:case 228:case 229:case 230:case 231:case 232:case 233:case 234:case 235:case 236:case 237:case 238:case 239:case 254:r=e.getUint16();r>2?e.skip(r-2):e.skip(-2)}if(i)break}const n=e.pos-t;if(-1===a){warn("Inline DCTDecode image stream: EOI marker not found, searching for /EI/ instead.");e.skip(-n);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return n}findASCII85DecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte());)if(126===a){const t=e.pos;a=e.peekByte();for(;isWhiteSpace(a);){e.skip();a=e.peekByte()}if(62===a){e.skip();break}if(e.pos>t){const t=e.peekBytes(2);if(69===t[0]&&73===t[1])break}}const r=e.pos-t;if(-1===a){warn("Inline ASCII85Decode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}findASCIIHexDecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte())&&62!==a;);const r=e.pos-t;if(-1===a){warn("Inline ASCIIHexDecode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}inlineStreamSkipEI(e){let t,a=0;for(;-1!==(t=e.getByte());)if(0===a)a=69===t?1:0;else if(1===a)a=73===t?2:0;else if(2===a)break}makeInlineImage(e){const t=this.lexer,a=t.stream,r=Object.create(null);let i;for(;!isCmd(this.buf1,"ID")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name))throw new FormatError("Dictionary key must be a name object");const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r[t]=this.getObj(e)}-1!==t.beginInlineImagePos&&(i=a.pos-t.beginInlineImagePos);const n=this.xref.fetchIfRef(r.F||r.Filter);let s;if(n instanceof Name)s=n.name;else if(Array.isArray(n)){const e=this.xref.fetchIfRef(n[0]);e instanceof Name&&(s=e.name)}const o=a.pos;let c,l;switch(s){case"DCT":case"DCTDecode":c=this.findDCTDecodeInlineStreamEnd(a);break;case"A85":case"ASCII85Decode":c=this.findASCII85DecodeInlineStreamEnd(a);break;case"AHx":case"ASCIIHexDecode":c=this.findASCIIHexDecodeInlineStreamEnd(a);break;default:c=this.findDefaultInlineStreamEnd(a)}if(c<1e3&&i>0){const e=a.pos;a.pos=t.beginInlineImagePos;l=function getInlineImageCacheKey(e){const t=[],a=e.length;let r=0;for(;r<a-1;)t.push(e[r++]<<8|e[r++]);r<a&&t.push(e[r]);return a+"_"+String.fromCharCode.apply(null,t)}(a.getBytes(i+c));a.pos=e;const r=this.imageCache[l];if(void 0!==r){this.buf2=Cmd.get("EI");this.shift();r.reset();return r}}const h=new Dict(this.xref);for(const e in r)h.set(e,r[e]);let u=a.makeSubStream(o,c,h);e&&(u=e.createStream(u,c));u=this.filter(u,h,c);u.dict=h;if(void 0!==l){u.cacheKey="inline_img_"+ ++this._imageId;this.imageCache[l]=u}this.buf2=Cmd.get("EI");this.shift();return u}#q(e){const{stream:t}=this.lexer;t.pos=e;const a=new Uint8Array([101,110,100]),r=a.length,i=[new Uint8Array([115,116,114,101,97,109]),new Uint8Array([115,116,101,97,109]),new Uint8Array([115,116,114,101,97])],n=9-r;for(;t.pos<t.end;){const s=t.peekBytes(2048),o=s.length-9;if(o<=0)break;let c=0;for(;c<o;){let o=0;for(;o<r&&s[c+o]===a[o];)o++;if(o>=r){let r=!1;for(const e of i){const t=e.length;let i=0;for(;i<t&&s[c+o+i]===e[i];)i++;if(i>=n){r=!0;break}if(i>=t){if(isWhiteSpace(s[c+o+i])){info(`Found "${bytesToString([...a,...e])}" when searching for endstream command.`);r=!0}break}}if(r){t.pos+=c;return t.pos-e}}c++}t.pos+=o}return-1}makeStream(e,t){const a=this.lexer;let r=a.stream;a.skipToNextLine();const i=r.pos-1;let n=e.get("Length");if(!Number.isInteger(n)){info(`Bad length "${n&&n.toString()}" in stream.`);n=0}r.pos=i+n;a.nextChar();if(this.tryShift()&&isCmd(this.buf2,"endstream"))this.shift();else{n=this.#q(i);if(n<0)throw new FormatError("Missing endstream command.");a.nextChar();this.shift();this.shift()}this.shift();r=r.makeSubStream(i,n,e);t&&(r=t.createStream(r,n));r=this.filter(r,e,n);r.dict=e;return r}filter(e,t,a){let r=t.get("F","Filter"),i=t.get("DP","DecodeParms");if(r instanceof Name){Array.isArray(i)&&warn("/DecodeParms should not be an Array, when /Filter is a Name.");return this.makeFilter(e,r.name,a,i)}let n=a;if(Array.isArray(r)){const t=r,a=i;for(let s=0,o=t.length;s<o;++s){r=this.xref.fetchIfRef(t[s]);if(!(r instanceof Name))throw new FormatError(`Bad filter name "${r}"`);i=null;Array.isArray(a)&&s in a&&(i=this.xref.fetchIfRef(a[s]));e=this.makeFilter(e,r.name,n,i);n=null}}return e}makeFilter(e,t,a,r){if(0===a){warn(`Empty "${t}" stream.`);return new NullStream}try{switch(t){case"Fl":case"FlateDecode":return r?new PredictorStream(new FlateStream(e,a),a,r):new FlateStream(e,a);case"LZW":case"LZWDecode":let t=1;if(r){r.has("EarlyChange")&&(t=r.get("EarlyChange"));return new PredictorStream(new LZWStream(e,a,t),a,r)}return new LZWStream(e,a,t);case"DCT":case"DCTDecode":return new JpegStream(e,a,r);case"JPX":case"JPXDecode":return new JpxStream(e,a,r);case"A85":case"ASCII85Decode":return new Ascii85Stream(e,a);case"AHx":case"ASCIIHexDecode":return new AsciiHexStream(e,a);case"CCF":case"CCITTFaxDecode":return new CCITTFaxStream(e,a,r);case"RL":case"RunLengthDecode":return new RunLengthStream(e,a);case"JBIG2Decode":return new Jbig2Stream(e,a,r)}warn(`Filter "${t}" is not supported.`);return e}catch(e){if(e instanceof MissingDataException)throw e;warn(`Invalid stream: "${e}"`);return new NullStream}}}const mr=[1,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,2,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];function toHexDigit(e){return e>=48&&e<=57?15&e:e>=65&&e<=70||e>=97&&e<=102?9+(15&e):-1}class Lexer{constructor(e,t=null){this.stream=e;this.nextChar();this.strBuf=[];this.knownCommands=t;this._hexStringNumWarn=0;this.beginInlineImagePos=-1}nextChar(){return this.currentChar=this.stream.getByte()}peekChar(){return this.stream.peekByte()}getNumber(){let e=this.currentChar,t=!1,a=0,r=1;if(45===e){r=-1;e=this.nextChar();45===e&&(e=this.nextChar())}else 43===e&&(e=this.nextChar());if(10===e||13===e)do{e=this.nextChar()}while(10===e||13===e);if(46===e){a=10;e=this.nextChar()}if(e<48||e>57){const t=`Invalid number: ${String.fromCharCode(e)} (charCode ${e})`;if(isWhiteSpace(e)||40===e||60===e||-1===e){info(`Lexer.getNumber - "${t}".`);return 0}throw new FormatError(t)}let i=e-48,n=0,s=1;for(;(e=this.nextChar())>=0;)if(e>=48&&e<=57){const r=e-48;if(t)n=10*n+r;else{0!==a&&(a*=10);i=10*i+r}}else if(46===e){if(0!==a)break;a=1}else if(45===e)warn("Badly formatted number: minus sign in the middle");else{if(69!==e&&101!==e)break;e=this.peekChar();if(43===e||45===e){s=45===e?-1:1;this.nextChar()}else if(e<48||e>57)break;t=!0}0!==a&&(i/=a);t&&(i*=10**(s*n));return r*i}getString(){let e=1,t=!1;const a=this.strBuf;a.length=0;let r=this.nextChar();for(;;){let i=!1;switch(0|r){case-1:warn("Unterminated string");t=!0;break;case 40:++e;a.push("(");break;case 41:if(0==--e){this.nextChar();t=!0}else a.push(")");break;case 92:r=this.nextChar();switch(r){case-1:warn("Unterminated string");t=!0;break;case 110:a.push("\\n");break;case 114:a.push("\\r");break;case 116:a.push("\\t");break;case 98:a.push("\\b");break;case 102:a.push("\\f");break;case 92:case 40:case 41:a.push(String.fromCharCode(r));break;case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:let e=15&r;r=this.nextChar();i=!0;if(r>=48&&r<=55){e=(e<<3)+(15&r);r=this.nextChar();if(r>=48&&r<=55){i=!1;e=(e<<3)+(15&r)}}a.push(String.fromCharCode(e));break;case 13:10===this.peekChar()&&this.nextChar();break;case 10:break;default:a.push(String.fromCharCode(r))}break;default:a.push(String.fromCharCode(r))}if(t)break;i||(r=this.nextChar())}return a.join("")}getName(){let e,t;const a=this.strBuf;a.length=0;for(;(e=this.nextChar())>=0&&!mr[e];)if(35===e){e=this.nextChar();if(mr[e]){warn("Lexer_getName: NUMBER SIGN (#) should be followed by a hexadecimal number.");a.push("#");break}const r=toHexDigit(e);if(-1!==r){t=e;e=this.nextChar();const i=toHexDigit(e);if(-1===i){warn(`Lexer_getName: Illegal digit (${String.fromCharCode(e)}) in hexadecimal number.`);a.push("#",String.fromCharCode(t));if(mr[e])break;a.push(String.fromCharCode(e));continue}a.push(String.fromCharCode(r<<4|i))}else a.push("#",String.fromCharCode(e))}else a.push(String.fromCharCode(e));a.length>127&&warn(`Name token is longer than allowed by the spec: ${a.length}`);return Name.get(a.join(""))}_hexStringWarn(e){5!=this._hexStringNumWarn++?this._hexStringNumWarn>5||warn(`getHexString - ignoring invalid character: ${e}`):warn("getHexString - ignoring additional invalid characters.")}getHexString(){const e=this.strBuf;e.length=0;let t=this.currentChar,a=-1,r=-1;this._hexStringNumWarn=0;for(;;){if(t<0){warn("Unterminated hex string");break}if(62===t){this.nextChar();break}if(1!==mr[t]){r=toHexDigit(t);if(-1===r)this._hexStringWarn(t);else if(-1===a)a=r;else{e.push(String.fromCharCode(a<<4|r));a=-1}t=this.nextChar()}else t=this.nextChar()}-1!==a&&e.push(String.fromCharCode(a<<4));return e.join("")}getObj(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(1!==mr[t])break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return this.getNumber();case 40:return this.getString();case 47:return this.getName();case 91:this.nextChar();return Cmd.get("[");case 93:this.nextChar();return Cmd.get("]");case 60:t=this.nextChar();if(60===t){this.nextChar();return Cmd.get("<<")}return this.getHexString();case 62:t=this.nextChar();if(62===t){this.nextChar();return Cmd.get(">>")}return Cmd.get(">");case 123:this.nextChar();return Cmd.get("{");case 125:this.nextChar();return Cmd.get("}");case 41:this.nextChar();throw new FormatError(`Illegal character: ${t}`)}let a=String.fromCharCode(t);if(t<32||t>127){const e=this.peekChar();if(e>=32&&e<=127){this.nextChar();return Cmd.get(a)}}const r=this.knownCommands;let i=void 0!==r?.[a];for(;(t=this.nextChar())>=0&&!mr[t];){const e=a+String.fromCharCode(t);if(i&&void 0===r[e])break;if(128===a.length)throw new FormatError(`Command token too long: ${a.length}`);a=e;i=void 0!==r?.[a]}if("true"===a)return!0;if("false"===a)return!1;if("null"===a)return null;"BI"===a&&(this.beginInlineImagePos=this.stream.pos);return Cmd.get(a)}skipToNextLine(){let e=this.currentChar;for(;e>=0;){if(13===e){e=this.nextChar();10===e&&this.nextChar();break}if(10===e){this.nextChar();break}e=this.nextChar()}}}class Linearization{static create(e){function getInt(e,t,a=!1){const r=e.get(t);if(Number.isInteger(r)&&(a?r>=0:r>0))return r;throw new Error(`The "${t}" parameter in the linearization dictionary is invalid.`)}const t=new Parser({lexer:new Lexer(e),xref:null}),a=t.getObj(),r=t.getObj(),i=t.getObj(),n=t.getObj();let s,o;if(!(Number.isInteger(a)&&Number.isInteger(r)&&isCmd(i,"obj")&&n instanceof Dict&&"number"==typeof(s=n.get("Linearized"))&&s>0))return null;if((o=getInt(n,"L"))!==e.length)throw new Error(\'The "L" parameter in the linearization dictionary does not equal the stream length.\');return{length:o,hints:function getHints(e){const t=e.get("H");let a;if(Array.isArray(t)&&(2===(a=t.length)||4===a)){for(let e=0;e<a;e++){const a=t[e];if(!(Number.isInteger(a)&&a>0))throw new Error(`Hint (${e}) in the linearization dictionary is invalid.`)}return t}throw new Error("Hint array in the linearization dictionary is invalid.")}(n),objectNumberFirst:getInt(n,"O"),endFirst:getInt(n,"E"),numPages:getInt(n,"N"),mainXRefEntriesOffset:getInt(n,"T"),pageFirst:n.has("P")?getInt(n,"P",!0):0}}}const 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getEncoding(e){switch(e){case"WinAnsiEncoding":return kr;case"StandardEncoding":return Ar;case"MacRomanEncoding":return Sr;case"SymbolSetEncoding":return Cr;case"ZapfDingbatsEncoding":return vr;case"ExpertEncoding":return wr;case"MacExpertEncoding":return xr;default:return null}}const 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ve=522;e.Iishortcyrillic=1049;e.Imacron=298;e.Imacroncyrillic=1250;e.Imonospace=65321;e.Iniarmenian=1339;e.Iocyrillic=1025;e.Iogonek=302;e.Iota=921;e.Iotaafrican=406;e.Iotadieresis=938;e.Iotatonos=906;e.Ismall=63337;e.Istroke=407;e.Itilde=296;e.Itildebelow=7724;e.Izhitsacyrillic=1140;e.Izhitsadblgravecyrillic=1142;e.J=74;e.Jaarmenian=1345;e.Jcircle=9407;e.Jcircumflex=308;e.Jecyrillic=1032;e.Jheharmenian=1355;e.Jmonospace=65322;e.Jsmall=63338;e.K=75;e.KBsquare=13189;e.KKsquare=13261;e.Kabashkircyrillic=1184;e.Kacute=7728;e.Kacyrillic=1050;e.Kadescendercyrillic=1178;e.Kahookcyrillic=1219;e.Kappa=922;e.Kastrokecyrillic=1182;e.Kaverticalstrokecyrillic=1180;e.Kcaron=488;e.Kcedilla=310;e.Kcircle=9408;e.Kcommaaccent=310;e.Kdotbelow=7730;e.Keharmenian=1364;e.Kenarmenian=1343;e.Khacyrillic=1061;e.Kheicoptic=998;e.Khook=408;e.Kjecyrillic=1036;e.Klinebelow=7732;e.Kmonospace=65323;e.Koppacyrillic=1152;e.Koppagreek=990;e.Ksicyrillic=1134;e.Ksmall=63339;e.L=76;e.LJ=455;e.LL=63167;e.Lacute=313;e.Lambda=923;e.Lcaron=317;e.Lcedilla=315;e.Lcircle=9409;e.Lcircumflexbelow=7740;e.Lcommaaccent=315;e.Ldot=319;e.Ldotaccent=319;e.Ldotbelow=7734;e.Ldotbelowmacron=7736;e.Liwnarmenian=1340;e.Lj=456;e.Ljecyrillic=1033;e.Llinebelow=7738;e.Lmonospace=65324;e.Lslash=321;e.Lslashsmall=63225;e.Lsmall=63340;e.M=77;e.MBsquare=13190;e.Macron=63184;e.Macronsmall=63407;e.Macute=7742;e.Mcircle=9410;e.Mdotaccent=7744;e.Mdotbelow=7746;e.Menarmenian=1348;e.Mmonospace=65325;e.Msmall=63341;e.Mturned=412;e.Mu=924;e.N=78;e.NJ=458;e.Nacute=323;e.Ncaron=327;e.Ncedilla=325;e.Ncircle=9411;e.Ncircumflexbelow=7754;e.Ncommaaccent=325;e.Ndotaccent=7748;e.Ndotbelow=7750;e.Nhookleft=413;e.Nineroman=8552;e.Nj=459;e.Njecyrillic=1034;e.Nlinebelow=7752;e.Nmonospace=65326;e.Nowarmenian=1350;e.Nsmall=63342;e.Ntilde=209;e.Ntildesmall=63473;e.Nu=925;e.O=79;e.OE=338;e.OEsmall=63226;e.Oacute=211;e.Oacutesmall=63475;e.Obarredcyrillic=1256;e.Obarreddieresiscyrillic=1258;e.Obreve=334;e.Ocaron=465;e.Ocenteredtilde=415;e.Ocircle=9412;e.Ocircumflex=212;e.Ocircumflexacute=7888;e.Ocircumflexdotbelow=7896;e.Ocircumflexgrave=7890;e.Ocircumflexhookabove=7892;e.Ocircumflexsmall=63476;e.Ocircumflextilde=7894;e.Ocyrillic=1054;e.Odblacute=336;e.Odblgrave=524;e.Odieresis=214;e.Odieresiscyrillic=1254;e.Odieresissmall=63478;e.Odotbelow=7884;e.Ogoneksmall=63227;e.Ograve=210;e.Ogravesmall=63474;e.Oharmenian=1365;e.Ohm=8486;e.Ohookabove=7886;e.Ohorn=416;e.Ohornacute=7898;e.Ohorndotbelow=7906;e.Ohorngrave=7900;e.Ohornhookabove=7902;e.Ohorntilde=7904;e.Ohungarumlaut=336;e.Oi=418;e.Oinvertedbreve=526;e.Omacron=332;e.Omacronacute=7762;e.Omacrongrave=7760;e.Omega=8486;e.Omegacyrillic=1120;e.Omegagreek=937;e.Omegaroundcyrillic=1146;e.Omegatitlocyrillic=1148;e.Omegatonos=911;e.Omicron=927;e.Omicrontonos=908;e.Omonospace=65327;e.Oneroman=8544;e.Oogonek=490;e.Oogonekmacron=492;e.Oopen=390;e.Oslash=216;e.Oslashacute=510;e.Oslashsmall=63480;e.Osmall=63343;e.Ostrokeacute=510;e.Otcyrillic=1150;e.Otilde=213;e.Otildeacute=7756;e.Otildedieresis=7758;e.Otildesmall=63477;e.P=80;e.Pacute=7764;e.Pcircle=9413;e.Pdotaccent=7766;e.Pecyrillic=1055;e.Peharmenian=1354;e.Pemiddlehookcyrillic=1190;e.Phi=934;e.Phook=420;e.Pi=928;e.Piwrarmenian=1363;e.Pmonospace=65328;e.Psi=936;e.Psicyrillic=1136;e.Psmall=63344;e.Q=81;e.Qcircle=9414;e.Qmonospace=65329;e.Qsmall=63345;e.R=82;e.Raarmenian=1356;e.Racute=340;e.Rcaron=344;e.Rcedilla=342;e.Rcircle=9415;e.Rcommaaccent=342;e.Rdblgrave=528;e.Rdotaccent=7768;e.Rdotbelow=7770;e.Rdotbelowmacron=7772;e.Reharmenian=1360;e.Rfraktur=8476;e.Rho=929;e.Ringsmall=63228;e.Rinvertedbreve=530;e.Rlinebelow=7774;e.Rmonospace=65330;e.Rsmall=63346;e.Rsmallinverted=641;e.Rsmallinvertedsuperior=694;e.S=83;e.SF010000=9484;e.SF020000=9492;e.SF030000=9488;e.SF040000=9496;e.SF050000=9532;e.SF060000=9516;e.SF070000=9524;e.SF080000=9500;e.SF090000=9508;e.SF100000=9472;e.SF110000=9474;e.SF190000=9569;e.SF200000=9570;e.SF210000=9558;e.SF220000=9557;e.SF230000=9571;e.SF240000=9553;e.SF250000=9559;e.SF260000=9565;e.SF270000=9564;e.SF280000=9563;e.SF360000=9566;e.SF370000=9567;e.SF380000=9562;e.SF390000=9556;e.SF400000=9577;e.SF410000=9574;e.SF420000=9568;e.SF430000=9552;e.SF440000=9580;e.SF450000=9575;e.SF460000=9576;e.SF470000=9572;e.SF480000=9573;e.SF490000=9561;e.SF500000=9560;e.SF510000=9554;e.SF520000=9555;e.SF530000=9579;e.SF540000=9578;e.Sacute=346;e.Sacutedotaccent=7780;e.Sampigreek=992;e.Scaron=352;e.Scarondotaccent=7782;e.Scaronsmall=63229;e.Scedilla=350;e.Schwa=399;e.Schwacyrillic=1240;e.Schwadieresiscyrillic=1242;e.Scircle=9416;e.Scircumflex=348;e.Scommaaccent=536;e.Sdotaccent=7776;e.Sdotbelow=7778;e.Sdotbelowdotaccent=7784;e.Seharmenian=1357;e.Sevenroman=8550;e.Shaarmenian=1351;e.Shacyrillic=1064;e.Shchacyrillic=1065;e.Sheicoptic=994;e.Shhacyrillic=1210;e.Shimacoptic=1004;e.Sigma=931;e.Sixroman=8549;e.Smonospace=65331;e.Softsigncyrillic=1068;e.Ssmall=63347;e.Stigmagreek=986;e.T=84;e.Tau=932;e.Tbar=358;e.Tcaron=356;e.Tcedilla=354;e.Tcircle=9417;e.Tcircumflexbelow=7792;e.Tcommaaccent=354;e.Tdotaccent=7786;e.Tdotbelow=7788;e.Tecyrillic=1058;e.Tedescendercyrillic=1196;e.Tenroman=8553;e.Tetsecyrillic=1204;e.Theta=920;e.Thook=428;e.Thorn=222;e.Thornsmall=63486;e.Threeroman=8546;e.Tildesmall=63230;e.Tiwnarmenian=1359;e.Tlinebelow=7790;e.Tmonospace=65332;e.Toarmenian=1337;e.Tonefive=444;e.Tonesix=388;e.Tonetwo=423;e.Tretroflexhook=430;e.Tsecyrillic=1062;e.Tshecyrillic=1035;e.Tsmall=63348;e.Twelveroman=8555;e.Tworoman=8545;e.U=85;e.Uacute=218;e.Uacutesmall=63482;e.Ubreve=364;e.Ucaron=467;e.Ucircle=9418;e.Ucircumflex=219;e.Ucircumflexbelow=7798;e.Ucircumflexsmall=63483;e.Ucyrillic=1059;e.Udblacute=368;e.Udblgrave=532;e.Udieresis=220;e.Udieresisacute=471;e.Udieresisbelow=7794;e.Udieresiscaron=473;e.Udieresiscyrillic=1264;e.Udieresisgrave=475;e.Udieresismacron=469;e.Udieresissmall=63484;e.Udotbelow=7908;e.Ugrave=217;e.Ugravesmall=63481;e.Uhookabove=7910;e.Uhorn=431;e.Uhornacute=7912;e.Uhorndotbelow=7920;e.Uhorngrave=7914;e.Uhornhookabove=7916;e.Uhorntilde=7918;e.Uhungarumlaut=368;e.Uhungarumlautcyrillic=1266;e.Uinvertedbreve=534;e.Ukcyrillic=1144;e.Umacron=362;e.Umacroncyrillic=1262;e.Umacrondieresis=7802;e.Umonospace=65333;e.Uogonek=370;e.Upsilon=933;e.Upsilon1=978;e.Upsilonacutehooksymbolgreek=979;e.Upsilonafrican=433;e.Upsilondieresis=939;e.Upsilondieresishooksymbolgreek=980;e.Upsilonhooksymbol=978;e.Upsilontonos=910;e.Uring=366;e.Ushortcyrillic=1038;e.Usmall=63349;e.Ustraightcyrillic=1198;e.Ustraightstrokecyrillic=1200;e.Utilde=360;e.Utildeacute=7800;e.Utildebelow=7796;e.V=86;e.Vcircle=9419;e.Vdotbelow=7806;e.Vecyrillic=1042;e.Vewarmenian=1358;e.Vhook=434;e.Vmonospace=65334;e.Voarmenian=1352;e.Vsmall=63350;e.Vtilde=7804;e.W=87;e.Wacute=7810;e.Wcircle=9420;e.Wcircumflex=372;e.Wdieresis=7812;e.Wdotaccent=7814;e.Wdotbelow=7816;e.Wgrave=7808;e.Wmonospace=65335;e.Wsmall=63351;e.X=88;e.Xcircle=9421;e.Xdieresis=7820;e.Xdotaccent=7818;e.Xeharmenian=1341;e.Xi=926;e.Xmonospace=65336;e.Xsmall=63352;e.Y=89;e.Yacute=221;e.Yacutesmall=63485;e.Yatcyrillic=1122;e.Ycircle=9422;e.Ycircumflex=374;e.Ydieresis=376;e.Ydieresissmall=63487;e.Ydotaccent=7822;e.Ydotbelow=7924;e.Yericyrillic=1067;e.Yerudieresiscyrillic=1272;e.Ygrave=7922;e.Yhook=435;e.Yhookabove=7926;e.Yiarmenian=1349;e.Yicyrillic=1031;e.Yiwnarmenian=1362;e.Ymonospace=65337;e.Ysmall=63353;e.Ytilde=7928;e.Yusbigcyrillic=1130;e.Yusbigiotifiedcyrillic=1132;e.Yuslittlecyrillic=1126;e.Yuslittleiotifiedcyrillic=1128;e.Z=90;e.Zaarmenian=1334;e.Zacute=377;e.Zcaron=381;e.Zcaronsmall=63231;e.Zcircle=9423;e.Zcircumflex=7824;e.Zdot=379;e.Zdotaccent=379;e.Zdotbelow=7826;e.Zecyrillic=1047;e.Zedescendercyrillic=1176;e.Zedieresiscyrillic=1246;e.Zeta=918;e.Zhearmenian=1338;e.Zhebrevecyrillic=1217;e.Zhecyrillic=1046;e.Zhedescendercyrillic=1174;e.Zhedieresiscyrillic=1244;e.Zlinebelow=7828;e.Zmonospace=65338;e.Zsmall=63354;e.Zstroke=437;e.a=97;e.aabengali=2438;e.aacute=225;e.aadeva=2310;e.aagujarati=2694;e.aagurmukhi=2566;e.aamatragurmukhi=2622;e.aarusquare=13059;e.aavowelsignbengali=2494;e.aavowelsigndeva=2366;e.aavowelsigngujarati=2750;e.abbreviationmarkarmenian=1375;e.abbreviationsigndeva=2416;e.abengali=2437;e.abopomofo=12570;e.abreve=259;e.abreveacute=7855;e.abrevecyrillic=1233;e.abrevedotbelow=7863;e.abrevegrave=7857;e.abrevehookabove=7859;e.abrevetilde=7861;e.acaron=462;e.acircle=9424;e.acircumflex=226;e.acircumflexacute=7845;e.acircumflexdotbelow=7853;e.acircumflexgrave=7847;e.acircumflexhookabove=7849;e.acircumflextilde=7851;e.acute=180;e.acutebelowcmb=791;e.acutecmb=769;e.acutecomb=769;e.acutedeva=2388;e.acutelowmod=719;e.acutetonecmb=833;e.acyrillic=1072;e.adblgrave=513;e.addakgurmukhi=2673;e.adeva=2309;e.adieresis=228;e.adieresiscyrillic=1235;e.adieresismacron=479;e.adotbelow=7841;e.adotmacron=481;e.ae=230;e.aeacute=509;e.aekorean=12624;e.aemacron=483;e.afii00208=8213;e.afii08941=8356;e.afii10017=1040;e.afii10018=1041;e.afii10019=1042;e.afii10020=1043;e.afii10021=1044;e.afii10022=1045;e.afii10023=1025;e.afii10024=1046;e.afii10025=1047;e.afii10026=1048;e.afii10027=1049;e.afii10028=1050;e.afii10029=1051;e.afii10030=1052;e.afii10031=1053;e.afii10032=1054;e.afii10033=1055;e.afii10034=1056;e.afii10035=1057;e.afii10036=1058;e.afii10037=1059;e.afii10038=1060;e.afii10039=1061;e.afii10040=1062;e.afii10041=1063;e.afii10042=1064;e.afii10043=1065;e.afii10044=1066;e.afii10045=1067;e.afii10046=1068;e.afii10047=1069;e.afii10048=1070;e.afii10049=1071;e.afii10050=1168;e.afii10051=1026;e.afii10052=1027;e.afii10053=1028;e.afii10054=1029;e.afii10055=1030;e.afii10056=1031;e.afii10057=1032;e.afii10058=1033;e.afii10059=1034;e.afii10060=1035;e.afii10061=1036;e.afii10062=1038;e.afii10063=63172;e.afii10064=63173;e.afii10065=1072;e.afii10066=1073;e.afii10067=1074;e.afii10068=1075;e.afii10069=1076;e.afii10070=1077;e.afii10071=1105;e.afii10072=1078;e.afii10073=1079;e.afii10074=1080;e.afii10075=1081;e.afii10076=1082;e.afii10077=1083;e.afii10078=1084;e.afii10079=1085;e.afii10080=1086;e.afii10081=1087;e.afii10082=1088;e.afii10083=1089;e.afii10084=1090;e.afii10085=1091;e.afii10086=1092;e.afii10087=1093;e.afii10088=1094;e.afii10089=1095;e.afii10090=1096;e.afii10091=1097;e.afii10092=1098;e.afii10093=1099;e.afii10094=1100;e.afii10095=1101;e.afii10096=1102;e.afii10097=1103;e.afii10098=1169;e.afii10099=1106;e.afii10100=1107;e.afii10101=1108;e.afii10102=1109;e.afii10103=1110;e.afii10104=1111;e.afii10105=1112;e.afii10106=1113;e.afii10107=1114;e.afii10108=1115;e.afii10109=1116;e.afii10110=1118;e.afii10145=1039;e.afii10146=1122;e.afii10147=1138;e.afii10148=1140;e.afii10192=63174;e.afii10193=1119;e.afii10194=1123;e.afii10195=1139;e.afii10196=1141;e.afii10831=63175;e.afii10832=63176;e.afii10846=1241;e.afii299=8206;e.afii300=8207;e.afii301=8205;e.afii57381=1642;e.afii57388=1548;e.afii57392=1632;e.afii57393=1633;e.afii57394=1634;e.afii57395=1635;e.afii57396=1636;e.afii57397=1637;e.afii57398=1638;e.afii57399=1639;e.afii57400=1640;e.afii57401=1641;e.afii57403=1563;e.afii57407=1567;e.afii57409=1569;e.afii57410=1570;e.afii57411=1571;e.afii57412=1572;e.afii57413=1573;e.afii57414=1574;e.afii57415=1575;e.afii57416=1576;e.afii57417=1577;e.afii57418=1578;e.afii57419=1579;e.afii57420=1580;e.afii57421=1581;e.afii57422=1582;e.afii57423=1583;e.afii57424=1584;e.afii57425=1585;e.afii57426=1586;e.afii57427=1587;e.afii57428=1588;e.afii57429=1589;e.afii57430=1590;e.afii57431=1591;e.afii57432=1592;e.afii57433=1593;e.afii57434=1594;e.afii57440=1600;e.afii57441=1601;e.afii57442=1602;e.afii57443=1603;e.afii57444=1604;e.afii57445=1605;e.afii57446=1606;e.afii57448=1608;e.afii57449=1609;e.afii57450=1610;e.afii57451=1611;e.afii57452=1612;e.afii57453=1613;e.afii57454=1614;e.afii57455=1615;e.afii57456=1616;e.afii57457=1617;e.afii57458=1618;e.afii57470=1607;e.afii57505=1700;e.afii57506=1662;e.afii57507=1670;e.afii57508=1688;e.afii57509=1711;e.afii57511=1657;e.afii57512=1672;e.afii57513=1681;e.afii57514=1722;e.afii57519=1746;e.afii57534=1749;e.afii57636=8362;e.afii57645=1470;e.afii57658=1475;e.afii57664=1488;e.afii57665=1489;e.afii57666=1490;e.afii57667=1491;e.afii57668=1492;e.afii57669=1493;e.afii57670=1494;e.afii57671=1495;e.afii57672=1496;e.afii57673=1497;e.afii57674=1498;e.afii57675=1499;e.afii57676=1500;e.afii57677=1501;e.afii57678=1502;e.afii57679=1503;e.afii57680=1504;e.afii57681=1505;e.afii57682=1506;e.afii57683=1507;e.afii57684=1508;e.afii57685=1509;e.afii57686=1510;e.afii57687=1511;e.afii57688=1512;e.afii57689=1513;e.afii57690=1514;e.afii57694=64298;e.afii57695=64299;e.afii57700=64331;e.afii57705=64287;e.afii57716=1520;e.afii57717=1521;e.afii57718=1522;e.afii57723=64309;e.afii57793=1460;e.afii57794=1461;e.afii57795=1462;e.afii57796=1467;e.afii57797=1464;e.afii57798=1463;e.afii57799=1456;e.afii57800=1458;e.afii57801=1457;e.afii57802=1459;e.afii57803=1474;e.afii57804=1473;e.afii57806=1465;e.afii57807=1468;e.afii57839=1469;e.afii57841=1471;e.afii57842=1472;e.afii57929=700;e.afii61248=8453;e.afii61289=8467;e.afii61352=8470;e.afii61573=8236;e.afii61574=8237;e.afii61575=8238;e.afii61664=8204;e.afii63167=1645;e.afii64937=701;e.agrave=224;e.agujarati=2693;e.agurmukhi=2565;e.ahiragana=12354;e.ahookabove=7843;e.aibengali=2448;e.aibopomofo=12574;e.aideva=2320;e.aiecyrillic=1237;e.aigujarati=2704;e.aigurmukhi=2576;e.aimatragurmukhi=2632;e.ainarabic=1593;e.ainfinalarabic=65226;e.aininitialarabic=65227;e.ainmedialarabic=65228;e.ainvertedbreve=515;e.aivowelsignbengali=2504;e.aivowelsigndeva=2376;e.aivowelsigngujarati=2760;e.akatakana=12450;e.akatakanahalfwidth=65393;e.akorean=12623;e.alef=1488;e.alefarabic=1575;e.alefdageshhebrew=64304;e.aleffinalarabic=65166;e.alefhamzaabovearabic=1571;e.alefhamzaabovefinalarabic=65156;e.alefhamzabelowarabic=1573;e.alefhamzabelowfinalarabic=65160;e.alefhebrew=1488;e.aleflamedhebrew=64335;e.alefmaddaabovearabic=1570;e.alefmaddaabovefinalarabic=65154;e.alefmaksuraarabic=1609;e.alefmaksurafinalarabic=65264;e.alefmaksurainitialarabic=65267;e.alefmaksuramedialarabic=65268;e.alefpatahhebrew=64302;e.alefqamatshebrew=64303;e.aleph=8501;e.allequal=8780;e.alpha=945;e.alphatonos=940;e.amacron=257;e.amonospace=65345;e.ampersand=38;e.ampersandmonospace=65286;e.ampersandsmall=63270;e.amsquare=13250;e.anbopomofo=12578;e.angbopomofo=12580;e.angbracketleft=12296;e.angbracketright=12297;e.angkhankhuthai=3674;e.angle=8736;e.anglebracketleft=12296;e.anglebracketleftvertical=65087;e.anglebracketright=12297;e.anglebracketrightvertical=65088;e.angleleft=9001;e.angleright=9002;e.angstrom=8491;e.anoteleia=903;e.anudattadeva=2386;e.anusvarabengali=2434;e.anusvaradeva=2306;e.anusvaragujarati=2690;e.aogonek=261;e.apaatosquare=13056;e.aparen=9372;e.apostrophearmenian=1370;e.apostrophemod=700;e.apple=63743;e.approaches=8784;e.approxequal=8776;e.approxequalorimage=8786;e.approximatelyequal=8773;e.araeaekorean=12686;e.araeakorean=12685;e.arc=8978;e.arighthalfring=7834;e.aring=229;e.aringacute=507;e.aringbelow=7681;e.arrowboth=8596;e.arrowdashdown=8675;e.arrowdashleft=8672;e.arrowdashright=8674;e.arrowdashup=8673;e.arrowdblboth=8660;e.arrowdbldown=8659;e.arrowdblleft=8656;e.arrowdblright=8658;e.arrowdblup=8657;e.arrowdown=8595;e.arrowdownleft=8601;e.arrowdownright=8600;e.arrowdownwhite=8681;e.arrowheaddownmod=709;e.arrowheadleftmod=706;e.arrowheadrightmod=707;e.arrowheadupmod=708;e.arrowhorizex=63719;e.arrowleft=8592;e.arrowleftdbl=8656;e.arrowleftdblstroke=8653;e.arrowleftoverright=8646;e.arrowleftwhite=8678;e.arrowright=8594;e.arrowrightdblstroke=8655;e.arrowrightheavy=10142;e.arrowrightoverleft=8644;e.arrowrightwhite=8680;e.arrowtableft=8676;e.arrowtabright=8677;e.arrowup=8593;e.arrowupdn=8597;e.arrowupdnbse=8616;e.arrowupdownbase=8616;e.arrowupleft=8598;e.arrowupleftofdown=8645;e.arrowupright=8599;e.arrowupwhite=8679;e.arrowvertex=63718;e.asciicircum=94;e.asciicircummonospace=65342;e.asciitilde=126;e.asciitildemonospace=65374;e.ascript=593;e.ascriptturned=594;e.asmallhiragana=12353;e.asmallkatakana=12449;e.asmallkatakanahalfwidth=65383;e.asterisk=42;e.asteriskaltonearabic=1645;e.asteriskarabic=1645;e.asteriskmath=8727;e.asteriskmonospace=65290;e.asterisksmall=65121;e.asterism=8258;e.asuperior=63209;e.asymptoticallyequal=8771;e.at=64;e.atilde=227;e.atmonospace=65312;e.atsmall=65131;e.aturned=592;e.aubengali=2452;e.aubopomofo=12576;e.audeva=2324;e.augujarati=2708;e.augurmukhi=2580;e.aulengthmarkbengali=2519;e.aumatragurmukhi=2636;e.auvowelsignbengali=2508;e.auvowelsigndeva=2380;e.auvowelsigngujarati=2764;e.avagrahadeva=2365;e.aybarmenian=1377;e.ayin=1506;e.ayinaltonehebrew=64288;e.ayinhebrew=1506;e.b=98;e.babengali=2476;e.backslash=92;e.backslashmonospace=65340;e.badeva=2348;e.bagujarati=2732;e.bagurmukhi=2604;e.bahiragana=12400;e.bahtthai=3647;e.bakatakana=12496;e.bar=124;e.barmonospace=65372;e.bbopomofo=12549;e.bcircle=9425;e.bdotaccent=7683;e.bdotbelow=7685;e.beamedsixteenthnotes=9836;e.because=8757;e.becyrillic=1073;e.beharabic=1576;e.behfinalarabic=65168;e.behinitialarabic=65169;e.behiragana=12409;e.behmedialarabic=65170;e.behmeeminitialarabic=64671;e.behmeemisolatedarabic=64520;e.behnoonfinalarabic=64621;e.bekatakana=12505;e.benarmenian=1378;e.bet=1489;e.beta=946;e.betasymbolgreek=976;e.betdagesh=64305;e.betdageshhebrew=64305;e.bethebrew=1489;e.betrafehebrew=64332;e.bhabengali=2477;e.bhadeva=2349;e.bhagujarati=2733;e.bhagurmukhi=2605;e.bhook=595;e.bihiragana=12403;e.bikatakana=12499;e.bilabialclick=664;e.bindigurmukhi=2562;e.birusquare=13105;e.blackcircle=9679;e.blackdiamond=9670;e.blackdownpointingtriangle=9660;e.blackleftpointingpointer=9668;e.blackleftpointingtriangle=9664;e.blacklenticularbracketleft=12304;e.blacklenticularbracketleftvertical=65083;e.blacklenticularbracketright=12305;e.blacklenticularbracketrightvertical=65084;e.blacklowerlefttriangle=9699;e.blacklowerrighttriangle=9698;e.blackrectangle=9644;e.blackrightpointingpointer=9658;e.blackrightpointingtriangle=9654;e.blacksmallsquare=9642;e.blacksmilingface=9787;e.blacksquare=9632;e.blackstar=9733;e.blackupperlefttriangle=9700;e.blackupperrighttriangle=9701;e.blackuppointingsmalltriangle=9652;e.blackuppointingtriangle=9650;e.blank=9251;e.blinebelow=7687;e.block=9608;e.bmonospace=65346;e.bobaimaithai=3610;e.bohiragana=12412;e.bokatakana=12508;e.bparen=9373;e.bqsquare=13251;e.braceex=63732;e.braceleft=123;e.braceleftbt=63731;e.braceleftmid=63730;e.braceleftmonospace=65371;e.braceleftsmall=65115;e.bracelefttp=63729;e.braceleftvertical=65079;e.braceright=125;e.bracerightbt=63742;e.bracerightmid=63741;e.bracerightmonospace=65373;e.bracerightsmall=65116;e.bracerighttp=63740;e.bracerightvertical=65080;e.bracketleft=91;e.bracketleftbt=63728;e.bracketleftex=63727;e.bracketleftmonospace=65339;e.bracketlefttp=63726;e.bracketright=93;e.bracketrightbt=63739;e.bracketrightex=63738;e.bracketrightmonospace=65341;e.bracketrighttp=63737;e.breve=728;e.brevebelowcmb=814;e.brevecmb=774;e.breveinvertedbelowcmb=815;e.breveinvertedcmb=785;e.breveinverteddoublecmb=865;e.bridgebelowcmb=810;e.bridgeinvertedbelowcmb=826;e.brokenbar=166;e.bstroke=384;e.bsuperior=63210;e.btopbar=387;e.buhiragana=12406;e.bukatakana=12502;e.bullet=8226;e.bulletinverse=9688;e.bulletoperator=8729;e.bullseye=9678;e.c=99;e.caarmenian=1390;e.cabengali=2458;e.cacute=263;e.cadeva=2330;e.cagujarati=2714;e.cagurmukhi=2586;e.calsquare=13192;e.candrabindubengali=2433;e.candrabinducmb=784;e.candrabindudeva=2305;e.candrabindugujarati=2689;e.capslock=8682;e.careof=8453;e.caron=711;e.caronbelowcmb=812;e.caroncmb=780;e.carriagereturn=8629;e.cbopomofo=12568;e.ccaron=269;e.ccedilla=231;e.ccedillaacute=7689;e.ccircle=9426;e.ccircumflex=265;e.ccurl=597;e.cdot=267;e.cdotaccent=267;e.cdsquare=13253;e.cedilla=184;e.cedillacmb=807;e.cent=162;e.centigrade=8451;e.centinferior=63199;e.centmonospace=65504;e.centoldstyle=63394;e.centsuperior=63200;e.chaarmenian=1401;e.chabengali=2459;e.chadeva=2331;e.chagujarati=2715;e.chagurmukhi=2587;e.chbopomofo=12564;e.cheabkhasiancyrillic=1213;e.checkmark=10003;e.checyrillic=1095;e.chedescenderabkhasiancyrillic=1215;e.chedescendercyrillic=1207;e.chedieresiscyrillic=1269;e.cheharmenian=1395;e.chekhakassiancyrillic=1228;e.cheverticalstrokecyrillic=1209;e.chi=967;e.chieuchacirclekorean=12919;e.chieuchaparenkorean=12823;e.chieuchcirclekorean=12905;e.chieuchkorean=12618;e.chieuchparenkorean=12809;e.chochangthai=3594;e.chochanthai=3592;e.chochingthai=3593;e.chochoethai=3596;e.chook=392;e.cieucacirclekorean=12918;e.cieucaparenkorean=12822;e.cieuccirclekorean=12904;e.cieuckorean=12616;e.cieucparenkorean=12808;e.cieucuparenkorean=12828;e.circle=9675;e.circlecopyrt=169;e.circlemultiply=8855;e.circleot=8857;e.circleplus=8853;e.circlepostalmark=12342;e.circlewithlefthalfblack=9680;e.circlewithrighthalfblack=9681;e.circumflex=710;e.circumflexbelowcmb=813;e.circumflexcmb=770;e.clear=8999;e.clickalveolar=450;e.clickdental=448;e.clicklateral=449;e.clickretroflex=451;e.club=9827;e.clubsuitblack=9827;e.clubsuitwhite=9831;e.cmcubedsquare=13220;e.cmonospace=65347;e.cmsquaredsquare=13216;e.coarmenian=1409;e.colon=58;e.colonmonetary=8353;e.colonmonospace=65306;e.colonsign=8353;e.colonsmall=65109;e.colontriangularhalfmod=721;e.colontriangularmod=720;e.comma=44;e.commaabovecmb=787;e.commaaboverightcmb=789;e.commaaccent=63171;e.commaarabic=1548;e.commaarmenian=1373;e.commainferior=63201;e.commamonospace=65292;e.commareversedabovecmb=788;e.commareversedmod=701;e.commasmall=65104;e.commasuperior=63202;e.commaturnedabovecmb=786;e.commaturnedmod=699;e.compass=9788;e.congruent=8773;e.contourintegral=8750;e.control=8963;e.controlACK=6;e.controlBEL=7;e.controlBS=8;e.controlCAN=24;e.controlCR=13;e.controlDC1=17;e.controlDC2=18;e.controlDC3=19;e.controlDC4=20;e.controlDEL=127;e.controlDLE=16;e.controlEM=25;e.controlENQ=5;e.controlEOT=4;e.controlESC=27;e.controlETB=23;e.controlETX=3;e.controlFF=12;e.controlFS=28;e.controlGS=29;e.controlHT=9;e.controlLF=10;e.controlNAK=21;e.controlNULL=0;e.controlRS=30;e.controlSI=15;e.controlSO=14;e.controlSOT=2;e.controlSTX=1;e.controlSUB=26;e.controlSYN=22;e.controlUS=31;e.controlVT=11;e.copyright=169;e.copyrightsans=63721;e.copyrightserif=63193;e.cornerbracketleft=12300;e.cornerbracketlefthalfwidth=65378;e.cornerbracketleftvertical=65089;e.cornerbracketright=12301;e.cornerbracketrighthalfwidth=65379;e.cornerbracketrightvertical=65090;e.corporationsquare=13183;e.cosquare=13255;e.coverkgsquare=13254;e.cparen=9374;e.cruzeiro=8354;e.cstretched=663;e.curlyand=8911;e.curlyor=8910;e.currency=164;e.cyrBreve=63185;e.cyrFlex=63186;e.cyrbreve=63188;e.cyrflex=63189;e.d=100;e.daarmenian=1380;e.dabengali=2470;e.dadarabic=1590;e.dadeva=2342;e.dadfinalarabic=65214;e.dadinitialarabic=65215;e.dadmedialarabic=65216;e.dagesh=1468;e.dageshhebrew=1468;e.dagger=8224;e.daggerdbl=8225;e.dagujarati=2726;e.dagurmukhi=2598;e.dahiragana=12384;e.dakatakana=12480;e.dalarabic=1583;e.dalet=1491;e.daletdagesh=64307;e.daletdageshhebrew=64307;e.dalethebrew=1491;e.dalfinalarabic=65194;e.dammaarabic=1615;e.dammalowarabic=1615;e.dammatanaltonearabic=1612;e.dammatanarabic=1612;e.danda=2404;e.dargahebrew=1447;e.dargalefthebrew=1447;e.dasiapneumatacyrilliccmb=1157;e.dblGrave=63187;e.dblanglebracketleft=12298;e.dblanglebracketleftvertical=65085;e.dblanglebracketright=12299;e.dblanglebracketrightvertical=65086;e.dblarchinvertedbelowcmb=811;e.dblarrowleft=8660;e.dblarrowright=8658;e.dbldanda=2405;e.dblgrave=63190;e.dblgravecmb=783;e.dblintegral=8748;e.dbllowline=8215;e.dbllowlinecmb=819;e.dbloverlinecmb=831;e.dblprimemod=698;e.dblverticalbar=8214;e.dblverticallineabovecmb=782;e.dbopomofo=12553;e.dbsquare=13256;e.dcaron=271;e.dcedilla=7697;e.dcircle=9427;e.dcircumflexbelow=7699;e.dcroat=273;e.ddabengali=2465;e.ddadeva=2337;e.ddagujarati=2721;e.ddagurmukhi=2593;e.ddalarabic=1672;e.ddalfinalarabic=64393;e.dddhadeva=2396;e.ddhabengali=2466;e.ddhadeva=2338;e.ddhagujarati=2722;e.ddhagurmukhi=2594;e.ddotaccent=7691;e.ddotbelow=7693;e.decimalseparatorarabic=1643;e.decimalseparatorpersian=1643;e.decyrillic=1076;e.degree=176;e.dehihebrew=1453;e.dehiragana=12391;e.deicoptic=1007;e.dekatakana=12487;e.deleteleft=9003;e.deleteright=8998;e.delta=948;e.deltaturned=397;e.denominatorminusonenumeratorbengali=2552;e.dezh=676;e.dhabengali=2471;e.dhadeva=2343;e.dhagujarati=2727;e.dhagurmukhi=2599;e.dhook=599;e.dialytikatonos=901;e.dialytikatonoscmb=836;e.diamond=9830;e.diamondsuitwhite=9826;e.dieresis=168;e.dieresisacute=63191;e.dieresisbelowcmb=804;e.dieresiscmb=776;e.dieresisgrave=63192;e.dieresistonos=901;e.dihiragana=12386;e.dikatakana=12482;e.dittomark=12291;e.divide=247;e.divides=8739;e.divisionslash=8725;e.djecyrillic=1106;e.dkshade=9619;e.dlinebelow=7695;e.dlsquare=13207;e.dmacron=273;e.dmonospace=65348;e.dnblock=9604;e.dochadathai=3598;e.dodekthai=3604;e.dohiragana=12393;e.dokatakana=12489;e.dollar=36;e.dollarinferior=63203;e.dollarmonospace=65284;e.dollaroldstyle=63268;e.dollarsmall=65129;e.dollarsuperior=63204;e.dong=8363;e.dorusquare=13094;e.dotaccent=729;e.dotaccentcmb=775;e.dotbelowcmb=803;e.dotbelowcomb=803;e.dotkatakana=12539;e.dotlessi=305;e.dotlessj=63166;e.dotlessjstrokehook=644;e.dotmath=8901;e.dottedcircle=9676;e.doubleyodpatah=64287;e.doubleyodpatahhebrew=64287;e.downtackbelowcmb=798;e.downtackmod=725;e.dparen=9375;e.dsuperior=63211;e.dtail=598;e.dtopbar=396;e.duhiragana=12389;e.dukatakana=12485;e.dz=499;e.dzaltone=675;e.dzcaron=454;e.dzcurl=677;e.dzeabkhasiancyrillic=1249;e.dzecyrillic=1109;e.dzhecyrillic=1119;e.e=101;e.eacute=233;e.earth=9793;e.ebengali=2447;e.ebopomofo=12572;e.ebreve=277;e.ecandradeva=2317;e.ecandragujarati=2701;e.ecandravowelsigndeva=2373;e.ecandravowelsigngujarati=2757;e.ecaron=283;e.ecedillabreve=7709;e.echarmenian=1381;e.echyiwnarmenian=1415;e.ecircle=9428;e.ecircumflex=234;e.ecircumflexacute=7871;e.ecircumflexbelow=7705;e.ecircumflexdotbelow=7879;e.ecircumflexgrave=7873;e.ecircumflexhookabove=7875;e.ecircumflextilde=7877;e.ecyrillic=1108;e.edblgrave=517;e.edeva=2319;e.edieresis=235;e.edot=279;e.edotaccent=279;e.edotbelow=7865;e.eegurmukhi=2575;e.eematragurmukhi=2631;e.efcyrillic=1092;e.egrave=232;e.egujarati=2703;e.eharmenian=1383;e.ehbopomofo=12573;e.ehiragana=12360;e.ehookabove=7867;e.eibopomofo=12575;e.eight=56;e.eightarabic=1640;e.eightbengali=2542;e.eightcircle=9319;e.eightcircleinversesansserif=10129;e.eightdeva=2414;e.eighteencircle=9329;e.eighteenparen=9349;e.eighteenperiod=9369;e.eightgujarati=2798;e.eightgurmukhi=2670;e.eighthackarabic=1640;e.eighthangzhou=12328;e.eighthnotebeamed=9835;e.eightideographicparen=12839;e.eightinferior=8328;e.eightmonospace=65304;e.eightoldstyle=63288;e.eightparen=9339;e.eightperiod=9359;e.eightpersian=1784;e.eightroman=8567;e.eightsuperior=8312;e.eightthai=3672;e.einvertedbreve=519;e.eiotifiedcyrillic=1125;e.ekatakana=12456;e.ekatakanahalfwidth=65396;e.ekonkargurmukhi=2676;e.ekorean=12628;e.elcyrillic=1083;e.element=8712;e.elevencircle=9322;e.elevenparen=9342;e.elevenperiod=9362;e.elevenroman=8570;e.ellipsis=8230;e.ellipsisvertical=8942;e.emacron=275;e.emacronacute=7703;e.emacrongrave=7701;e.emcyrillic=1084;e.emdash=8212;e.emdashvertical=65073;e.emonospace=65349;e.emphasismarkarmenian=1371;e.emptyset=8709;e.enbopomofo=12579;e.encyrillic=1085;e.endash=8211;e.endashvertical=65074;e.endescendercyrillic=1187;e.eng=331;e.engbopomofo=12581;e.enghecyrillic=1189;e.enhookcyrillic=1224;e.enspace=8194;e.eogonek=281;e.eokorean=12627;e.eopen=603;e.eopenclosed=666;e.eopenreversed=604;e.eopenreversedclosed=606;e.eopenreversedhook=605;e.eparen=9376;e.epsilon=949;e.epsilontonos=941;e.equal=61;e.equalmonospace=65309;e.equalsmall=65126;e.equalsuperior=8316;e.equivalence=8801;e.erbopomofo=12582;e.ercyrillic=1088;e.ereversed=600;e.ereversedcyrillic=1101;e.escyrillic=1089;e.esdescendercyrillic=1195;e.esh=643;e.eshcurl=646;e.eshortdeva=2318;e.eshortvowelsigndeva=2374;e.eshreversedloop=426;e.eshsquatreversed=645;e.esmallhiragana=12359;e.esmallkatakana=12455;e.esmallkatakanahalfwidth=65386;e.estimated=8494;e.esuperior=63212;e.eta=951;e.etarmenian=1384;e.etatonos=942;e.eth=240;e.etilde=7869;e.etildebelow=7707;e.etnahtafoukhhebrew=1425;e.etnahtafoukhlefthebrew=1425;e.etnahtahebrew=1425;e.etnahtalefthebrew=1425;e.eturned=477;e.eukorean=12641;e.euro=8364;e.evowelsignbengali=2503;e.evowelsigndeva=2375;e.evowelsigngujarati=2759;e.exclam=33;e.exclamarmenian=1372;e.exclamdbl=8252;e.exclamdown=161;e.exclamdownsmall=63393;e.exclammonospace=65281;e.exclamsmall=63265;e.existential=8707;e.ezh=658;e.ezhcaron=495;e.ezhcurl=659;e.ezhreversed=441;e.ezhtail=442;e.f=102;e.fadeva=2398;e.fagurmukhi=2654;e.fahrenheit=8457;e.fathaarabic=1614;e.fathalowarabic=1614;e.fathatanarabic=1611;e.fbopomofo=12552;e.fcircle=9429;e.fdotaccent=7711;e.feharabic=1601;e.feharmenian=1414;e.fehfinalarabic=65234;e.fehinitialarabic=65235;e.fehmedialarabic=65236;e.feicoptic=997;e.female=9792;e.ff=64256;e.f_f=64256;e.ffi=64259;e.f_f_i=64259;e.ffl=64260;e.f_f_l=64260;e.fi=64257;e.f_i=64257;e.fifteencircle=9326;e.fifteenparen=9346;e.fifteenperiod=9366;e.figuredash=8210;e.filledbox=9632;e.filledrect=9644;e.finalkaf=1498;e.finalkafdagesh=64314;e.finalkafdageshhebrew=64314;e.finalkafhebrew=1498;e.finalmem=1501;e.finalmemhebrew=1501;e.finalnun=1503;e.finalnunhebrew=1503;e.finalpe=1507;e.finalpehebrew=1507;e.finaltsadi=1509;e.finaltsadihebrew=1509;e.firsttonechinese=713;e.fisheye=9673;e.fitacyrillic=1139;e.five=53;e.fivearabic=1637;e.fivebengali=2539;e.fivecircle=9316;e.fivecircleinversesansserif=10126;e.fivedeva=2411;e.fiveeighths=8541;e.fivegujarati=2795;e.fivegurmukhi=2667;e.fivehackarabic=1637;e.fivehangzhou=12325;e.fiveideographicparen=12836;e.fiveinferior=8325;e.fivemonospace=65301;e.fiveoldstyle=63285;e.fiveparen=9336;e.fiveperiod=9356;e.fivepersian=1781;e.fiveroman=8564;e.fivesuperior=8309;e.fivethai=3669;e.fl=64258;e.f_l=64258;e.florin=402;e.fmonospace=65350;e.fmsquare=13209;e.fofanthai=3615;e.fofathai=3613;e.fongmanthai=3663;e.forall=8704;e.four=52;e.fourarabic=1636;e.fourbengali=2538;e.fourcircle=9315;e.fourcircleinversesansserif=10125;e.fourdeva=2410;e.fourgujarati=2794;e.fourgurmukhi=2666;e.fourhackarabic=1636;e.fourhangzhou=12324;e.fourideographicparen=12835;e.fourinferior=8324;e.fourmonospace=65300;e.fournumeratorbengali=2551;e.fouroldstyle=63284;e.fourparen=9335;e.fourperiod=9355;e.fourpersian=1780;e.fourroman=8563;e.foursuperior=8308;e.fourteencircle=9325;e.fourteenparen=9345;e.fourteenperiod=9365;e.fourthai=3668;e.fourthtonechinese=715;e.fparen=9377;e.fraction=8260;e.franc=8355;e.g=103;e.gabengali=2455;e.gacute=501;e.gadeva=2327;e.gafarabic=1711;e.gaffinalarabic=64403;e.gafinitialarabic=64404;e.gafmedialarabic=64405;e.gagujarati=2711;e.gagurmukhi=2583;e.gahiragana=12364;e.gakatakana=12460;e.gamma=947;e.gammalatinsmall=611;e.gammasuperior=736;e.gangiacoptic=1003;e.gbopomofo=12557;e.gbreve=287;e.gcaron=487;e.gcedilla=291;e.gcircle=9430;e.gcircumflex=285;e.gcommaaccent=291;e.gdot=289;e.gdotaccent=289;e.gecyrillic=1075;e.gehiragana=12370;e.gekatakana=12466;e.geometricallyequal=8785;e.gereshaccenthebrew=1436;e.gereshhebrew=1523;e.gereshmuqdamhebrew=1437;e.germandbls=223;e.gershayimaccenthebrew=1438;e.gershayimhebrew=1524;e.getamark=12307;e.ghabengali=2456;e.ghadarmenian=1394;e.ghadeva=2328;e.ghagujarati=2712;e.ghagurmukhi=2584;e.ghainarabic=1594;e.ghainfinalarabic=65230;e.ghaininitialarabic=65231;e.ghainmedialarabic=65232;e.ghemiddlehookcyrillic=1173;e.ghestrokecyrillic=1171;e.gheupturncyrillic=1169;e.ghhadeva=2394;e.ghhagurmukhi=2650;e.ghook=608;e.ghzsquare=13203;e.gihiragana=12366;e.gikatakana=12462;e.gimarmenian=1379;e.gimel=1490;e.gimeldagesh=64306;e.gimeldageshhebrew=64306;e.gimelhebrew=1490;e.gjecyrillic=1107;e.glottalinvertedstroke=446;e.glottalstop=660;e.glottalstopinverted=662;e.glottalstopmod=704;e.glottalstopreversed=661;e.glottalstopreversedmod=705;e.glottalstopreversedsuperior=740;e.glottalstopstroke=673;e.glottalstopstrokereversed=674;e.gmacron=7713;e.gmonospace=65351;e.gohiragana=12372;e.gokatakana=12468;e.gparen=9378;e.gpasquare=13228;e.gradient=8711;e.grave=96;e.gravebelowcmb=790;e.gravecmb=768;e.gravecomb=768;e.gravedeva=2387;e.gravelowmod=718;e.gravemonospace=65344;e.gravetonecmb=832;e.greater=62;e.greaterequal=8805;e.greaterequalorless=8923;e.greatermonospace=65310;e.greaterorequivalent=8819;e.greaterorless=8823;e.greateroverequal=8807;e.greatersmall=65125;e.gscript=609;e.gstroke=485;e.guhiragana=12368;e.guillemotleft=171;e.guillemotright=187;e.guilsinglleft=8249;e.guilsinglright=8250;e.gukatakana=12464;e.guramusquare=13080;e.gysquare=13257;e.h=104;e.haabkhasiancyrillic=1193;e.haaltonearabic=1729;e.habengali=2489;e.hadescendercyrillic=1203;e.hadeva=2361;e.hagujarati=2745;e.hagurmukhi=2617;e.haharabic=1581;e.hahfinalarabic=65186;e.hahinitialarabic=65187;e.hahiragana=12399;e.hahmedialarabic=65188;e.haitusquare=13098;e.hakatakana=12495;e.hakatakanahalfwidth=65418;e.halantgurmukhi=2637;e.hamzaarabic=1569;e.hamzalowarabic=1569;e.hangulfiller=12644;e.hardsigncyrillic=1098;e.harpoonleftbarbup=8636;e.harpoonrightbarbup=8640;e.hasquare=13258;e.hatafpatah=1458;e.hatafpatah16=1458;e.hatafpatah23=1458;e.hatafpatah2f=1458;e.hatafpatahhebrew=1458;e.hatafpatahnarrowhebrew=1458;e.hatafpatahquarterhebrew=1458;e.hatafpatahwidehebrew=1458;e.hatafqamats=1459;e.hatafqamats1b=1459;e.hatafqamats28=1459;e.hatafqamats34=1459;e.hatafqamatshebrew=1459;e.hatafqamatsnarrowhebrew=1459;e.hatafqamatsquarterhebrew=1459;e.hatafqamatswidehebrew=1459;e.hatafsegol=1457;e.hatafsegol17=1457;e.hatafsegol24=1457;e.hatafsegol30=1457;e.hatafsegolhebrew=1457;e.hatafsegolnarrowhebrew=1457;e.hatafsegolquarterhebrew=1457;e.hatafsegolwidehebrew=1457;e.hbar=295;e.hbopomofo=12559;e.hbrevebelow=7723;e.hcedilla=7721;e.hcircle=9431;e.hcircumflex=293;e.hdieresis=7719;e.hdotaccent=7715;e.hdotbelow=7717;e.he=1492;e.heart=9829;e.heartsuitblack=9829;e.heartsuitwhite=9825;e.hedagesh=64308;e.hedageshhebrew=64308;e.hehaltonearabic=1729;e.heharabic=1607;e.hehebrew=1492;e.hehfinalaltonearabic=64423;e.hehfinalalttwoarabic=65258;e.hehfinalarabic=65258;e.hehhamzaabovefinalarabic=64421;e.hehhamzaaboveisolatedarabic=64420;e.hehinitialaltonearabic=64424;e.hehinitialarabic=65259;e.hehiragana=12408;e.hehmedialaltonearabic=64425;e.hehmedialarabic=65260;e.heiseierasquare=13179;e.hekatakana=12504;e.hekatakanahalfwidth=65421;e.hekutaarusquare=13110;e.henghook=615;e.herutusquare=13113;e.het=1495;e.hethebrew=1495;e.hhook=614;e.hhooksuperior=689;e.hieuhacirclekorean=12923;e.hieuhaparenkorean=12827;e.hieuhcirclekorean=12909;e.hieuhkorean=12622;e.hieuhparenkorean=12813;e.hihiragana=12402;e.hikatakana=12498;e.hikatakanahalfwidth=65419;e.hiriq=1460;e.hiriq14=1460;e.hiriq21=1460;e.hiriq2d=1460;e.hiriqhebrew=1460;e.hiriqnarrowhebrew=1460;e.hiriqquarterhebrew=1460;e.hiriqwidehebrew=1460;e.hlinebelow=7830;e.hmonospace=65352;e.hoarmenian=1392;e.hohipthai=3627;e.hohiragana=12411;e.hokatakana=12507;e.hokatakanahalfwidth=65422;e.holam=1465;e.holam19=1465;e.holam26=1465;e.holam32=1465;e.holamhebrew=1465;e.holamnarrowhebrew=1465;e.holamquarterhebrew=1465;e.holamwidehebrew=1465;e.honokhukthai=3630;e.hookabovecomb=777;e.hookcmb=777;e.hookpalatalizedbelowcmb=801;e.hookretroflexbelowcmb=802;e.hoonsquare=13122;e.horicoptic=1001;e.horizontalbar=8213;e.horncmb=795;e.hotsprings=9832;e.house=8962;e.hparen=9379;e.hsuperior=688;e.hturned=613;e.huhiragana=12405;e.huiitosquare=13107;e.hukatakana=12501;e.hukatakanahalfwidth=65420;e.hungarumlaut=733;e.hungarumlautcmb=779;e.hv=405;e.hyphen=45;e.hypheninferior=63205;e.hyphenmonospace=65293;e.hyphensmall=65123;e.hyphensuperior=63206;e.hyphentwo=8208;e.i=105;e.iacute=237;e.iacyrillic=1103;e.ibengali=2439;e.ibopomofo=12583;e.ibreve=301;e.icaron=464;e.icircle=9432;e.icircumflex=238;e.icyrillic=1110;e.idblgrave=521;e.ideographearthcircle=12943;e.ideographfirecircle=12939;e.ideographicallianceparen=12863;e.ideographiccallparen=12858;e.ideographiccentrecircle=12965;e.ideographicclose=12294;e.ideographiccomma=12289;e.ideographiccommaleft=65380;e.ideographiccongratulationparen=12855;e.ideographiccorrectcircle=12963;e.ideographicearthparen=12847;e.ideographicenterpriseparen=12861;e.ideographicexcellentcircle=12957;e.ideographicfestivalparen=12864;e.ideographicfinancialcircle=12950;e.ideographicfinancialparen=12854;e.ideographicfireparen=12843;e.ideographichaveparen=12850;e.ideographichighcircle=12964;e.ideographiciterationmark=12293;e.ideographiclaborcircle=12952;e.ideographiclaborparen=12856;e.ideographicleftcircle=12967;e.ideographiclowcircle=12966;e.ideographicmedicinecircle=12969;e.ideographicmetalparen=12846;e.ideographicmoonparen=12842;e.ideographicnameparen=12852;e.ideographicperiod=12290;e.ideographicprintcircle=12958;e.ideographicreachparen=12867;e.ideographicrepresentparen=12857;e.ideographicresourceparen=12862;e.ideographicrightcircle=12968;e.ideographicsecretcircle=12953;e.ideographicselfparen=12866;e.ideographicsocietyparen=12851;e.ideographicspace=12288;e.ideographicspecialparen=12853;e.ideographicstockparen=12849;e.ideographicstudyparen=12859;e.ideographicsunparen=12848;e.ideographicsuperviseparen=12860;e.ideographicwaterparen=12844;e.ideographicwoodparen=12845;e.ideographiczero=12295;e.ideographmetalcircle=12942;e.ideographmooncircle=12938;e.ideographnamecircle=12948;e.ideographsuncircle=12944;e.ideographwatercircle=12940;e.ideographwoodcircle=12941;e.ideva=2311;e.idieresis=239;e.idieresisacute=7727;e.idieresiscyrillic=1253;e.idotbelow=7883;e.iebrevecyrillic=1239;e.iecyrillic=1077;e.ieungacirclekorean=12917;e.ieungaparenkorean=12821;e.ieungcirclekorean=12903;e.ieungkorean=12615;e.ieungparenkorean=12807;e.igrave=236;e.igujarati=2695;e.igurmukhi=2567;e.ihiragana=12356;e.ihookabove=7881;e.iibengali=2440;e.iicyrillic=1080;e.iideva=2312;e.iigujarati=2696;e.iigurmukhi=2568;e.iimatragurmukhi=2624;e.iinvertedbreve=523;e.iishortcyrillic=1081;e.iivowelsignbengali=2496;e.iivowelsigndeva=2368;e.iivowelsigngujarati=2752;e.ij=307;e.ikatakana=12452;e.ikatakanahalfwidth=65394;e.ikorean=12643;e.ilde=732;e.iluyhebrew=1452;e.imacron=299;e.imacroncyrillic=1251;e.imageorapproximatelyequal=8787;e.imatragurmukhi=2623;e.imonospace=65353;e.increment=8710;e.infinity=8734;e.iniarmenian=1387;e.integral=8747;e.integralbottom=8993;e.integralbt=8993;e.integralex=63733;e.integraltop=8992;e.integraltp=8992;e.intersection=8745;e.intisquare=13061;e.invbullet=9688;e.invcircle=9689;e.invsmileface=9787;e.iocyrillic=1105;e.iogonek=303;e.iota=953;e.iotadieresis=970;e.iotadieresistonos=912;e.iotalatin=617;e.iotatonos=943;e.iparen=9380;e.irigurmukhi=2674;e.ismallhiragana=12355;e.ismallkatakana=12451;e.ismallkatakanahalfwidth=65384;e.issharbengali=2554;e.istroke=616;e.isuperior=63213;e.iterationhiragana=12445;e.iterationkatakana=12541;e.itilde=297;e.itildebelow=7725;e.iubopomofo=12585;e.iucyrillic=1102;e.ivowelsignbengali=2495;e.ivowelsigndeva=2367;e.ivowelsigngujarati=2751;e.izhitsacyrillic=1141;e.izhitsadblgravecyrillic=1143;e.j=106;e.jaarmenian=1393;e.jabengali=2460;e.jadeva=2332;e.jagujarati=2716;e.jagurmukhi=2588;e.jbopomofo=12560;e.jcaron=496;e.jcircle=9433;e.jcircumflex=309;e.jcrossedtail=669;e.jdotlessstroke=607;e.jecyrillic=1112;e.jeemarabic=1580;e.jeemfinalarabic=65182;e.jeeminitialarabic=65183;e.jeemmedialarabic=65184;e.jeharabic=1688;e.jehfinalarabic=64395;e.jhabengali=2461;e.jhadeva=2333;e.jhagujarati=2717;e.jhagurmukhi=2589;e.jheharmenian=1403;e.jis=12292;e.jmonospace=65354;e.jparen=9381;e.jsuperior=690;e.k=107;e.kabashkircyrillic=1185;e.kabengali=2453;e.kacute=7729;e.kacyrillic=1082;e.kadescendercyrillic=1179;e.kadeva=2325;e.kaf=1499;e.kafarabic=1603;e.kafdagesh=64315;e.kafdageshhebrew=64315;e.kaffinalarabic=65242;e.kafhebrew=1499;e.kafinitialarabic=65243;e.kafmedialarabic=65244;e.kafrafehebrew=64333;e.kagujarati=2709;e.kagurmukhi=2581;e.kahiragana=12363;e.kahookcyrillic=1220;e.kakatakana=12459;e.kakatakanahalfwidth=65398;e.kappa=954;e.kappasymbolgreek=1008;e.kapyeounmieumkorean=12657;e.kapyeounphieuphkorean=12676;e.kapyeounpieupkorean=12664;e.kapyeounssangpieupkorean=12665;e.karoriisquare=13069;e.kashidaautoarabic=1600;e.kashidaautonosidebearingarabic=1600;e.kasmallkatakana=12533;e.kasquare=13188;e.kasraarabic=1616;e.kasratanarabic=1613;e.kastrokecyrillic=1183;e.katahiraprolongmarkhalfwidth=65392;e.kaverticalstrokecyrillic=1181;e.kbopomofo=12558;e.kcalsquare=13193;e.kcaron=489;e.kcedilla=311;e.kcircle=9434;e.kcommaaccent=311;e.kdotbelow=7731;e.keharmenian=1412;e.kehiragana=12369;e.kekatakana=12465;e.kekatakanahalfwidth=65401;e.kenarmenian=1391;e.kesmallkatakana=12534;e.kgreenlandic=312;e.khabengali=2454;e.khacyrillic=1093;e.khadeva=2326;e.khagujarati=2710;e.khagurmukhi=2582;e.khaharabic=1582;e.khahfinalarabic=65190;e.khahinitialarabic=65191;e.khahmedialarabic=65192;e.kheicoptic=999;e.khhadeva=2393;e.khhagurmukhi=2649;e.khieukhacirclekorean=12920;e.khieukhaparenkorean=12824;e.khieukhcirclekorean=12906;e.khieukhkorean=12619;e.khieukhparenkorean=12810;e.khokhaithai=3586;e.khokhonthai=3589;e.khokhuatthai=3587;e.khokhwaithai=3588;e.khomutthai=3675;e.khook=409;e.khorakhangthai=3590;e.khzsquare=13201;e.kihiragana=12365;e.kikatakana=12461;e.kikatakanahalfwidth=65399;e.kiroguramusquare=13077;e.kiromeetorusquare=13078;e.kirosquare=13076;e.kiyeokacirclekorean=12910;e.kiyeokaparenkorean=12814;e.kiyeokcirclekorean=12896;e.kiyeokkorean=12593;e.kiyeokparenkorean=12800;e.kiyeoksioskorean=12595;e.kjecyrillic=1116;e.klinebelow=7733;e.klsquare=13208;e.kmcubedsquare=13222;e.kmonospace=65355;e.kmsquaredsquare=13218;e.kohiragana=12371;e.kohmsquare=13248;e.kokaithai=3585;e.kokatakana=12467;e.kokatakanahalfwidth=65402;e.kooposquare=13086;e.koppacyrillic=1153;e.koreanstandardsymbol=12927;e.koroniscmb=835;e.kparen=9382;e.kpasquare=13226;e.ksicyrillic=1135;e.ktsquare=13263;e.kturned=670;e.kuhiragana=12367;e.kukatakana=12463;e.kukatakanahalfwidth=65400;e.kvsquare=13240;e.kwsquare=13246;e.l=108;e.labengali=2482;e.lacute=314;e.ladeva=2354;e.lagujarati=2738;e.lagurmukhi=2610;e.lakkhangyaothai=3653;e.lamaleffinalarabic=65276;e.lamalefhamzaabovefinalarabic=65272;e.lamalefhamzaaboveisolatedarabic=65271;e.lamalefhamzabelowfinalarabic=65274;e.lamalefhamzabelowisolatedarabic=65273;e.lamalefisolatedarabic=65275;e.lamalefmaddaabovefinalarabic=65270;e.lamalefmaddaaboveisolatedarabic=65269;e.lamarabic=1604;e.lambda=955;e.lambdastroke=411;e.lamed=1500;e.lameddagesh=64316;e.lameddageshhebrew=64316;e.lamedhebrew=1500;e.lamfinalarabic=65246;e.lamhahinitialarabic=64714;e.laminitialarabic=65247;e.lamjeeminitialarabic=64713;e.lamkhahinitialarabic=64715;e.lamlamhehisolatedarabic=65010;e.lammedialarabic=65248;e.lammeemhahinitialarabic=64904;e.lammeeminitialarabic=64716;e.largecircle=9711;e.lbar=410;e.lbelt=620;e.lbopomofo=12556;e.lcaron=318;e.lcedilla=316;e.lcircle=9435;e.lcircumflexbelow=7741;e.lcommaaccent=316;e.ldot=320;e.ldotaccent=320;e.ldotbelow=7735;e.ldotbelowmacron=7737;e.leftangleabovecmb=794;e.lefttackbelowcmb=792;e.less=60;e.lessequal=8804;e.lessequalorgreater=8922;e.lessmonospace=65308;e.lessorequivalent=8818;e.lessorgreater=8822;e.lessoverequal=8806;e.lesssmall=65124;e.lezh=622;e.lfblock=9612;e.lhookretroflex=621;e.lira=8356;e.liwnarmenian=1388;e.lj=457;e.ljecyrillic=1113;e.ll=63168;e.lladeva=2355;e.llagujarati=2739;e.llinebelow=7739;e.llladeva=2356;e.llvocalicbengali=2529;e.llvocalicdeva=2401;e.llvocalicvowelsignbengali=2531;e.llvocalicvowelsigndeva=2403;e.lmiddletilde=619;e.lmonospace=65356;e.lmsquare=13264;e.lochulathai=3628;e.logicaland=8743;e.logicalnot=172;e.logicalnotreversed=8976;e.logicalor=8744;e.lolingthai=3621;e.longs=383;e.lowlinecenterline=65102;e.lowlinecmb=818;e.lowlinedashed=65101;e.lozenge=9674;e.lparen=9383;e.lslash=322;e.lsquare=8467;e.lsuperior=63214;e.ltshade=9617;e.luthai=3622;e.lvocalicbengali=2444;e.lvocalicdeva=2316;e.lvocalicvowelsignbengali=2530;e.lvocalicvowelsigndeva=2402;e.lxsquare=13267;e.m=109;e.mabengali=2478;e.macron=175;e.macronbelowcmb=817;e.macroncmb=772;e.macronlowmod=717;e.macronmonospace=65507;e.macute=7743;e.madeva=2350;e.magujarati=2734;e.magurmukhi=2606;e.mahapakhhebrew=1444;e.mahapakhlefthebrew=1444;e.mahiragana=12414;e.maichattawalowleftthai=63637;e.maichattawalowrightthai=63636;e.maichattawathai=3659;e.maichattawaupperleftthai=63635;e.maieklowleftthai=63628;e.maieklowrightthai=63627;e.maiekthai=3656;e.maiekupperleftthai=63626;e.maihanakatleftthai=63620;e.maihanakatthai=3633;e.maitaikhuleftthai=63625;e.maitaikhuthai=3655;e.maitholowleftthai=63631;e.maitholowrightthai=63630;e.maithothai=3657;e.maithoupperleftthai=63629;e.maitrilowleftthai=63634;e.maitrilowrightthai=63633;e.maitrithai=3658;e.maitriupperleftthai=63632;e.maiyamokthai=3654;e.makatakana=12510;e.makatakanahalfwidth=65423;e.male=9794;e.mansyonsquare=13127;e.maqafhebrew=1470;e.mars=9794;e.masoracirclehebrew=1455;e.masquare=13187;e.mbopomofo=12551;e.mbsquare=13268;e.mcircle=9436;e.mcubedsquare=13221;e.mdotaccent=7745;e.mdotbelow=7747;e.meemarabic=1605;e.meemfinalarabic=65250;e.meeminitialarabic=65251;e.meemmedialarabic=65252;e.meemmeeminitialarabic=64721;e.meemmeemisolatedarabic=64584;e.meetorusquare=13133;e.mehiragana=12417;e.meizierasquare=13182;e.mekatakana=12513;e.mekatakanahalfwidth=65426;e.mem=1502;e.memdagesh=64318;e.memdageshhebrew=64318;e.memhebrew=1502;e.menarmenian=1396;e.merkhahebrew=1445;e.merkhakefulahebrew=1446;e.merkhakefulalefthebrew=1446;e.merkhalefthebrew=1445;e.mhook=625;e.mhzsquare=13202;e.middledotkatakanahalfwidth=65381;e.middot=183;e.mieumacirclekorean=12914;e.mieumaparenkorean=12818;e.mieumcirclekorean=12900;e.mieumkorean=12609;e.mieumpansioskorean=12656;e.mieumparenkorean=12804;e.mieumpieupkorean=12654;e.mieumsioskorean=12655;e.mihiragana=12415;e.mikatakana=12511;e.mikatakanahalfwidth=65424;e.minus=8722;e.minusbelowcmb=800;e.minuscircle=8854;e.minusmod=727;e.minusplus=8723;e.minute=8242;e.miribaarusquare=13130;e.mirisquare=13129;e.mlonglegturned=624;e.mlsquare=13206;e.mmcubedsquare=13219;e.mmonospace=65357;e.mmsquaredsquare=13215;e.mohiragana=12418;e.mohmsquare=13249;e.mokatakana=12514;e.mokatakanahalfwidth=65427;e.molsquare=13270;e.momathai=3617;e.moverssquare=13223;e.moverssquaredsquare=13224;e.mparen=9384;e.mpasquare=13227;e.mssquare=13235;e.msuperior=63215;e.mturned=623;e.mu=181;e.mu1=181;e.muasquare=13186;e.muchgreater=8811;e.muchless=8810;e.mufsquare=13196;e.mugreek=956;e.mugsquare=13197;e.muhiragana=12416;e.mukatakana=12512;e.mukatakanahalfwidth=65425;e.mulsquare=13205;e.multiply=215;e.mumsquare=13211;e.munahhebrew=1443;e.munahlefthebrew=1443;e.musicalnote=9834;e.musicalnotedbl=9835;e.musicflatsign=9837;e.musicsharpsign=9839;e.mussquare=13234;e.muvsquare=13238;e.muwsquare=13244;e.mvmegasquare=13241;e.mvsquare=13239;e.mwmegasquare=13247;e.mwsquare=13245;e.n=110;e.nabengali=2472;e.nabla=8711;e.nacute=324;e.nadeva=2344;e.nagujarati=2728;e.nagurmukhi=2600;e.nahiragana=12394;e.nakatakana=12490;e.nakatakanahalfwidth=65413;e.napostrophe=329;e.nasquare=13185;e.nbopomofo=12555;e.nbspace=160;e.ncaron=328;e.ncedilla=326;e.ncircle=9437;e.ncircumflexbelow=7755;e.ncommaaccent=326;e.ndotaccent=7749;e.ndotbelow=7751;e.nehiragana=12397;e.nekatakana=12493;e.nekatakanahalfwidth=65416;e.newsheqelsign=8362;e.nfsquare=13195;e.ngabengali=2457;e.ngadeva=2329;e.ngagujarati=2713;e.ngagurmukhi=2585;e.ngonguthai=3591;e.nhiragana=12435;e.nhookleft=626;e.nhookretroflex=627;e.nieunacirclekorean=12911;e.nieunaparenkorean=12815;e.nieuncieuckorean=12597;e.nieuncirclekorean=12897;e.nieunhieuhkorean=12598;e.nieunkorean=12596;e.nieunpansioskorean=12648;e.nieunparenkorean=12801;e.nieunsioskorean=12647;e.nieuntikeutkorean=12646;e.nihiragana=12395;e.nikatakana=12491;e.nikatakanahalfwidth=65414;e.nikhahitleftthai=63641;e.nikhahitthai=3661;e.nine=57;e.ninearabic=1641;e.ninebengali=2543;e.ninecircle=9320;e.ninecircleinversesansserif=10130;e.ninedeva=2415;e.ninegujarati=2799;e.ninegurmukhi=2671;e.ninehackarabic=1641;e.ninehangzhou=12329;e.nineideographicparen=12840;e.nineinferior=8329;e.ninemonospace=65305;e.nineoldstyle=63289;e.nineparen=9340;e.nineperiod=9360;e.ninepersian=1785;e.nineroman=8568;e.ninesuperior=8313;e.nineteencircle=9330;e.nineteenparen=9350;e.nineteenperiod=9370;e.ninethai=3673;e.nj=460;e.njecyrillic=1114;e.nkatakana=12531;e.nkatakanahalfwidth=65437;e.nlegrightlong=414;e.nlinebelow=7753;e.nmonospace=65358;e.nmsquare=13210;e.nnabengali=2467;e.nnadeva=2339;e.nnagujarati=2723;e.nnagurmukhi=2595;e.nnnadeva=2345;e.nohiragana=12398;e.nokatakana=12494;e.nokatakanahalfwidth=65417;e.nonbreakingspace=160;e.nonenthai=3603;e.nonuthai=3609;e.noonarabic=1606;e.noonfinalarabic=65254;e.noonghunnaarabic=1722;e.noonghunnafinalarabic=64415;e.nooninitialarabic=65255;e.noonjeeminitialarabic=64722;e.noonjeemisolatedarabic=64587;e.noonmedialarabic=65256;e.noonmeeminitialarabic=64725;e.noonmeemisolatedarabic=64590;e.noonnoonfinalarabic=64653;e.notcontains=8716;e.notelement=8713;e.notelementof=8713;e.notequal=8800;e.notgreater=8815;e.notgreaternorequal=8817;e.notgreaternorless=8825;e.notidentical=8802;e.notless=8814;e.notlessnorequal=8816;e.notparallel=8742;e.notprecedes=8832;e.notsubset=8836;e.notsucceeds=8833;e.notsuperset=8837;e.nowarmenian=1398;e.nparen=9385;e.nssquare=13233;e.nsuperior=8319;e.ntilde=241;e.nu=957;e.nuhiragana=12396;e.nukatakana=12492;e.nukatakanahalfwidth=65415;e.nuktabengali=2492;e.nuktadeva=2364;e.nuktagujarati=2748;e.nuktagurmukhi=2620;e.numbersign=35;e.numbersignmonospace=65283;e.numbersignsmall=65119;e.numeralsigngreek=884;e.numeralsignlowergreek=885;e.numero=8470;e.nun=1504;e.nundagesh=64320;e.nundageshhebrew=64320;e.nunhebrew=1504;e.nvsquare=13237;e.nwsquare=13243;e.nyabengali=2462;e.nyadeva=2334;e.nyagujarati=2718;e.nyagurmukhi=2590;e.o=111;e.oacute=243;e.oangthai=3629;e.obarred=629;e.obarredcyrillic=1257;e.obarreddieresiscyrillic=1259;e.obengali=2451;e.obopomofo=12571;e.obreve=335;e.ocandradeva=2321;e.ocandragujarati=2705;e.ocandravowelsigndeva=2377;e.ocandravowelsigngujarati=2761;e.ocaron=466;e.ocircle=9438;e.ocircumflex=244;e.ocircumflexacute=7889;e.ocircumflexdotbelow=7897;e.ocircumflexgrave=7891;e.ocircumflexhookabove=7893;e.ocircumflextilde=7895;e.ocyrillic=1086;e.odblacute=337;e.odblgrave=525;e.odeva=2323;e.odieresis=246;e.odieresiscyrillic=1255;e.odotbelow=7885;e.oe=339;e.oekorean=12634;e.ogonek=731;e.ogonekcmb=808;e.ograve=242;e.ogujarati=2707;e.oharmenian=1413;e.ohiragana=12362;e.ohookabove=7887;e.ohorn=417;e.ohornacute=7899;e.ohorndotbelow=7907;e.ohorngrave=7901;e.ohornhookabove=7903;e.ohorntilde=7905;e.ohungarumlaut=337;e.oi=419;e.oinvertedbreve=527;e.okatakana=12458;e.okatakanahalfwidth=65397;e.okorean=12631;e.olehebrew=1451;e.omacron=333;e.omacronacute=7763;e.omacrongrave=7761;e.omdeva=2384;e.omega=969;e.omega1=982;e.omegacyrillic=1121;e.omegalatinclosed=631;e.omegaroundcyrillic=1147;e.omegatitlocyrillic=1149;e.omegatonos=974;e.omgujarati=2768;e.omicron=959;e.omicrontonos=972;e.omonospace=65359;e.one=49;e.onearabic=1633;e.onebengali=2535;e.onecircle=9312;e.onecircleinversesansserif=10122;e.onedeva=2407;e.onedotenleader=8228;e.oneeighth=8539;e.onefitted=63196;e.onegujarati=2791;e.onegurmukhi=2663;e.onehackarabic=1633;e.onehalf=189;e.onehangzhou=12321;e.oneideographicparen=12832;e.oneinferior=8321;e.onemonospace=65297;e.onenumeratorbengali=2548;e.oneoldstyle=63281;e.oneparen=9332;e.oneperiod=9352;e.onepersian=1777;e.onequarter=188;e.oneroman=8560;e.onesuperior=185;e.onethai=3665;e.onethird=8531;e.oogonek=491;e.oogonekmacron=493;e.oogurmukhi=2579;e.oomatragurmukhi=2635;e.oopen=596;e.oparen=9386;e.openbullet=9702;e.option=8997;e.ordfeminine=170;e.ordmasculine=186;e.orthogonal=8735;e.oshortdeva=2322;e.oshortvowelsigndeva=2378;e.oslash=248;e.oslashacute=511;e.osmallhiragana=12361;e.osmallkatakana=12457;e.osmallkatakanahalfwidth=65387;e.ostrokeacute=511;e.osuperior=63216;e.otcyrillic=1151;e.otilde=245;e.otildeacute=7757;e.otildedieresis=7759;e.oubopomofo=12577;e.overline=8254;e.overlinecenterline=65098;e.overlinecmb=773;e.overlinedashed=65097;e.overlinedblwavy=65100;e.overlinewavy=65099;e.overscore=175;e.ovowelsignbengali=2507;e.ovowelsigndeva=2379;e.ovowelsigngujarati=2763;e.p=112;e.paampssquare=13184;e.paasentosquare=13099;e.pabengali=2474;e.pacute=7765;e.padeva=2346;e.pagedown=8671;e.pageup=8670;e.pagujarati=2730;e.pagurmukhi=2602;e.pahiragana=12401;e.paiyannoithai=3631;e.pakatakana=12497;e.palatalizationcyrilliccmb=1156;e.palochkacyrillic=1216;e.pansioskorean=12671;e.paragraph=182;e.parallel=8741;e.parenleft=40;e.parenleftaltonearabic=64830;e.parenleftbt=63725;e.parenleftex=63724;e.parenleftinferior=8333;e.parenleftmonospace=65288;e.parenleftsmall=65113;e.parenleftsuperior=8317;e.parenlefttp=63723;e.parenleftvertical=65077;e.parenright=41;e.parenrightaltonearabic=64831;e.parenrightbt=63736;e.parenrightex=63735;e.parenrightinferior=8334;e.parenrightmonospace=65289;e.parenrightsmall=65114;e.parenrightsuperior=8318;e.parenrighttp=63734;e.parenrightvertical=65078;e.partialdiff=8706;e.paseqhebrew=1472;e.pashtahebrew=1433;e.pasquare=13225;e.patah=1463;e.patah11=1463;e.patah1d=1463;e.patah2a=1463;e.patahhebrew=1463;e.patahnarrowhebrew=1463;e.patahquarterhebrew=1463;e.patahwidehebrew=1463;e.pazerhebrew=1441;e.pbopomofo=12550;e.pcircle=9439;e.pdotaccent=7767;e.pe=1508;e.pecyrillic=1087;e.pedagesh=64324;e.pedageshhebrew=64324;e.peezisquare=13115;e.pefinaldageshhebrew=64323;e.peharabic=1662;e.peharmenian=1402;e.pehebrew=1508;e.pehfinalarabic=64343;e.pehinitialarabic=64344;e.pehiragana=12410;e.pehmedialarabic=64345;e.pekatakana=12506;e.pemiddlehookcyrillic=1191;e.perafehebrew=64334;e.percent=37;e.percentarabic=1642;e.percentmonospace=65285;e.percentsmall=65130;e.period=46;e.periodarmenian=1417;e.periodcentered=183;e.periodhalfwidth=65377;e.periodinferior=63207;e.periodmonospace=65294;e.periodsmall=65106;e.periodsuperior=63208;e.perispomenigreekcmb=834;e.perpendicular=8869;e.perthousand=8240;e.peseta=8359;e.pfsquare=13194;e.phabengali=2475;e.phadeva=2347;e.phagujarati=2731;e.phagurmukhi=2603;e.phi=966;e.phi1=981;e.phieuphacirclekorean=12922;e.phieuphaparenkorean=12826;e.phieuphcirclekorean=12908;e.phieuphkorean=12621;e.phieuphparenkorean=12812;e.philatin=632;e.phinthuthai=3642;e.phisymbolgreek=981;e.phook=421;e.phophanthai=3614;e.phophungthai=3612;e.phosamphaothai=3616;e.pi=960;e.pieupacirclekorean=12915;e.pieupaparenkorean=12819;e.pieupcieuckorean=12662;e.pieupcirclekorean=12901;e.pieupkiyeokkorean=12658;e.pieupkorean=12610;e.pieupparenkorean=12805;e.pieupsioskiyeokkorean=12660;e.pieupsioskorean=12612;e.pieupsiostikeutkorean=12661;e.pieupthieuthkorean=12663;e.pieuptikeutkorean=12659;e.pihiragana=12404;e.pikatakana=12500;e.pisymbolgreek=982;e.piwrarmenian=1411;e.planckover2pi=8463;e.planckover2pi1=8463;e.plus=43;e.plusbelowcmb=799;e.pluscircle=8853;e.plusminus=177;e.plusmod=726;e.plusmonospace=65291;e.plussmall=65122;e.plussuperior=8314;e.pmonospace=65360;e.pmsquare=13272;e.pohiragana=12413;e.pointingindexdownwhite=9759;e.pointingindexleftwhite=9756;e.pointingindexrightwhite=9758;e.pointingindexupwhite=9757;e.pokatakana=12509;e.poplathai=3611;e.postalmark=12306;e.postalmarkface=12320;e.pparen=9387;e.precedes=8826;e.prescription=8478;e.primemod=697;e.primereversed=8245;e.product=8719;e.projective=8965;e.prolongedkana=12540;e.propellor=8984;e.propersubset=8834;e.propersuperset=8835;e.proportion=8759;e.proportional=8733;e.psi=968;e.psicyrillic=1137;e.psilipneumatacyrilliccmb=1158;e.pssquare=13232;e.puhiragana=12407;e.pukatakana=12503;e.pvsquare=13236;e.pwsquare=13242;e.q=113;e.qadeva=2392;e.qadmahebrew=1448;e.qafarabic=1602;e.qaffinalarabic=65238;e.qafinitialarabic=65239;e.qafmedialarabic=65240;e.qamats=1464;e.qamats10=1464;e.qamats1a=1464;e.qamats1c=1464;e.qamats27=1464;e.qamats29=1464;e.qamats33=1464;e.qamatsde=1464;e.qamatshebrew=1464;e.qamatsnarrowhebrew=1464;e.qamatsqatanhebrew=1464;e.qamatsqatannarrowhebrew=1464;e.qamatsqatanquarterhebrew=1464;e.qamatsqatanwidehebrew=1464;e.qamatsquarterhebrew=1464;e.qamatswidehebrew=1464;e.qarneyparahebrew=1439;e.qbopomofo=12561;e.qcircle=9440;e.qhook=672;e.qmonospace=65361;e.qof=1511;e.qofdagesh=64327;e.qofdageshhebrew=64327;e.qofhebrew=1511;e.qparen=9388;e.quarternote=9833;e.qubuts=1467;e.qubuts18=1467;e.qubuts25=1467;e.qubuts31=1467;e.qubutshebrew=1467;e.qubutsnarrowhebrew=1467;e.qubutsquarterhebrew=1467;e.qubutswidehebrew=1467;e.question=63;e.questionarabic=1567;e.questionarmenian=1374;e.questiondown=191;e.questiondownsmall=63423;e.questiongreek=894;e.questionmonospace=65311;e.questionsmall=63295;e.quotedbl=34;e.quotedblbase=8222;e.quotedblleft=8220;e.quotedblmonospace=65282;e.quotedblprime=12318;e.quotedblprimereversed=12317;e.quotedblright=8221;e.quoteleft=8216;e.quoteleftreversed=8219;e.quotereversed=8219;e.quoteright=8217;e.quoterightn=329;e.quotesinglbase=8218;e.quotesingle=39;e.quotesinglemonospace=65287;e.r=114;e.raarmenian=1404;e.rabengali=2480;e.racute=341;e.radeva=2352;e.radical=8730;e.radicalex=63717;e.radoverssquare=13230;e.radoverssquaredsquare=13231;e.radsquare=13229;e.rafe=1471;e.rafehebrew=1471;e.ragujarati=2736;e.ragurmukhi=2608;e.rahiragana=12425;e.rakatakana=12521;e.rakatakanahalfwidth=65431;e.ralowerdiagonalbengali=2545;e.ramiddlediagonalbengali=2544;e.ramshorn=612;e.ratio=8758;e.rbopomofo=12566;e.rcaron=345;e.rcedilla=343;e.rcircle=9441;e.rcommaaccent=343;e.rdblgrave=529;e.rdotaccent=7769;e.rdotbelow=7771;e.rdotbelowmacron=7773;e.referencemark=8251;e.reflexsubset=8838;e.reflexsuperset=8839;e.registered=174;e.registersans=63720;e.registerserif=63194;e.reharabic=1585;e.reharmenian=1408;e.rehfinalarabic=65198;e.rehiragana=12428;e.rekatakana=12524;e.rekatakanahalfwidth=65434;e.resh=1512;e.reshdageshhebrew=64328;e.reshhebrew=1512;e.reversedtilde=8765;e.reviahebrew=1431;e.reviamugrashhebrew=1431;e.revlogicalnot=8976;e.rfishhook=638;e.rfishhookreversed=639;e.rhabengali=2525;e.rhadeva=2397;e.rho=961;e.rhook=637;e.rhookturned=635;e.rhookturnedsuperior=693;e.rhosymbolgreek=1009;e.rhotichookmod=734;e.rieulacirclekorean=12913;e.rieulaparenkorean=12817;e.rieulcirclekorean=12899;e.rieulhieuhkorean=12608;e.rieulkiyeokkorean=12602;e.rieulkiyeoksioskorean=12649;e.rieulkorean=12601;e.rieulmieumkorean=12603;e.rieulpansioskorean=12652;e.rieulparenkorean=12803;e.rieulphieuphkorean=12607;e.rieulpieupkorean=12604;e.rieulpieupsioskorean=12651;e.rieulsioskorean=12605;e.rieulthieuthkorean=12606;e.rieultikeutkorean=12650;e.rieulyeorinhieuhkorean=12653;e.rightangle=8735;e.righttackbelowcmb=793;e.righttriangle=8895;e.rihiragana=12426;e.rikatakana=12522;e.rikatakanahalfwidth=65432;e.ring=730;e.ringbelowcmb=805;e.ringcmb=778;e.ringhalfleft=703;e.ringhalfleftarmenian=1369;e.ringhalfleftbelowcmb=796;e.ringhalfleftcentered=723;e.ringhalfright=702;e.ringhalfrightbelowcmb=825;e.ringhalfrightcentered=722;e.rinvertedbreve=531;e.rittorusquare=13137;e.rlinebelow=7775;e.rlongleg=636;e.rlonglegturned=634;e.rmonospace=65362;e.rohiragana=12429;e.rokatakana=12525;e.rokatakanahalfwidth=65435;e.roruathai=3619;e.rparen=9389;e.rrabengali=2524;e.rradeva=2353;e.rragurmukhi=2652;e.rreharabic=1681;e.rrehfinalarabic=64397;e.rrvocalicbengali=2528;e.rrvocalicdeva=2400;e.rrvocalicgujarati=2784;e.rrvocalicvowelsignbengali=2500;e.rrvocalicvowelsigndeva=2372;e.rrvocalicvowelsigngujarati=2756;e.rsuperior=63217;e.rtblock=9616;e.rturned=633;e.rturnedsuperior=692;e.ruhiragana=12427;e.rukatakana=12523;e.rukatakanahalfwidth=65433;e.rupeemarkbengali=2546;e.rupeesignbengali=2547;e.rupiah=63197;e.ruthai=3620;e.rvocalicbengali=2443;e.rvocalicdeva=2315;e.rvocalicgujarati=2699;e.rvocalicvowelsignbengali=2499;e.rvocalicvowelsigndeva=2371;e.rvocalicvowelsigngujarati=2755;e.s=115;e.sabengali=2488;e.sacute=347;e.sacutedotaccent=7781;e.sadarabic=1589;e.sadeva=2360;e.sadfinalarabic=65210;e.sadinitialarabic=65211;e.sadmedialarabic=65212;e.sagujarati=2744;e.sagurmukhi=2616;e.sahiragana=12373;e.sakatakana=12469;e.sakatakanahalfwidth=65403;e.sallallahoualayhewasallamarabic=65018;e.samekh=1505;e.samekhdagesh=64321;e.samekhdageshhebrew=64321;e.samekhhebrew=1505;e.saraaathai=3634;e.saraaethai=3649;e.saraaimaimalaithai=3652;e.saraaimaimuanthai=3651;e.saraamthai=3635;e.saraathai=3632;e.saraethai=3648;e.saraiileftthai=63622;e.saraiithai=3637;e.saraileftthai=63621;e.saraithai=3636;e.saraothai=3650;e.saraueeleftthai=63624;e.saraueethai=3639;e.saraueleftthai=63623;e.sarauethai=3638;e.sarauthai=3640;e.sarauuthai=3641;e.sbopomofo=12569;e.scaron=353;e.scarondotaccent=7783;e.scedilla=351;e.schwa=601;e.schwacyrillic=1241;e.schwadieresiscyrillic=1243;e.schwahook=602;e.scircle=9442;e.scircumflex=349;e.scommaaccent=537;e.sdotaccent=7777;e.sdotbelow=7779;e.sdotbelowdotaccent=7785;e.seagullbelowcmb=828;e.second=8243;e.secondtonechinese=714;e.section=167;e.seenarabic=1587;e.seenfinalarabic=65202;e.seeninitialarabic=65203;e.seenmedialarabic=65204;e.segol=1462;e.segol13=1462;e.segol1f=1462;e.segol2c=1462;e.segolhebrew=1462;e.segolnarrowhebrew=1462;e.segolquarterhebrew=1462;e.segoltahebrew=1426;e.segolwidehebrew=1462;e.seharmenian=1405;e.sehiragana=12379;e.sekatakana=12475;e.sekatakanahalfwidth=65406;e.semicolon=59;e.semicolonarabic=1563;e.semicolonmonospace=65307;e.semicolonsmall=65108;e.semivoicedmarkkana=12444;e.semivoicedmarkkanahalfwidth=65439;e.sentisquare=13090;e.sentosquare=13091;e.seven=55;e.sevenarabic=1639;e.sevenbengali=2541;e.sevencircle=9318;e.sevencircleinversesansserif=10128;e.sevendeva=2413;e.seveneighths=8542;e.sevengujarati=2797;e.sevengurmukhi=2669;e.sevenhackarabic=1639;e.sevenhangzhou=12327;e.sevenideographicparen=12838;e.seveninferior=8327;e.sevenmonospace=65303;e.sevenoldstyle=63287;e.sevenparen=9338;e.sevenperiod=9358;e.sevenpersian=1783;e.sevenroman=8566;e.sevensuperior=8311;e.seventeencircle=9328;e.seventeenparen=9348;e.seventeenperiod=9368;e.seventhai=3671;e.sfthyphen=173;e.shaarmenian=1399;e.shabengali=2486;e.shacyrillic=1096;e.shaddaarabic=1617;e.shaddadammaarabic=64609;e.shaddadammatanarabic=64606;e.shaddafathaarabic=64608;e.shaddakasraarabic=64610;e.shaddakasratanarabic=64607;e.shade=9618;e.shadedark=9619;e.shadelight=9617;e.shademedium=9618;e.shadeva=2358;e.shagujarati=2742;e.shagurmukhi=2614;e.shalshelethebrew=1427;e.shbopomofo=12565;e.shchacyrillic=1097;e.sheenarabic=1588;e.sheenfinalarabic=65206;e.sheeninitialarabic=65207;e.sheenmedialarabic=65208;e.sheicoptic=995;e.sheqel=8362;e.sheqelhebrew=8362;e.sheva=1456;e.sheva115=1456;e.sheva15=1456;e.sheva22=1456;e.sheva2e=1456;e.shevahebrew=1456;e.shevanarrowhebrew=1456;e.shevaquarterhebrew=1456;e.shevawidehebrew=1456;e.shhacyrillic=1211;e.shimacoptic=1005;e.shin=1513;e.shindagesh=64329;e.shindageshhebrew=64329;e.shindageshshindot=64300;e.shindageshshindothebrew=64300;e.shindageshsindot=64301;e.shindageshsindothebrew=64301;e.shindothebrew=1473;e.shinhebrew=1513;e.shinshindot=64298;e.shinshindothebrew=64298;e.shinsindot=64299;e.shinsindothebrew=64299;e.shook=642;e.sigma=963;e.sigma1=962;e.sigmafinal=962;e.sigmalunatesymbolgreek=1010;e.sihiragana=12375;e.sikatakana=12471;e.sikatakanahalfwidth=65404;e.siluqhebrew=1469;e.siluqlefthebrew=1469;e.similar=8764;e.sindothebrew=1474;e.siosacirclekorean=12916;e.siosaparenkorean=12820;e.sioscieuckorean=12670;e.sioscirclekorean=12902;e.sioskiyeokkorean=12666;e.sioskorean=12613;e.siosnieunkorean=12667;e.siosparenkorean=12806;e.siospieupkorean=12669;e.siostikeutkorean=12668;e.six=54;e.sixarabic=1638;e.sixbengali=2540;e.sixcircle=9317;e.sixcircleinversesansserif=10127;e.sixdeva=2412;e.sixgujarati=2796;e.sixgurmukhi=2668;e.sixhackarabic=1638;e.sixhangzhou=12326;e.sixideographicparen=12837;e.sixinferior=8326;e.sixmonospace=65302;e.sixoldstyle=63286;e.sixparen=9337;e.sixperiod=9357;e.sixpersian=1782;e.sixroman=8565;e.sixsuperior=8310;e.sixteencircle=9327;e.sixteencurrencydenominatorbengali=2553;e.sixteenparen=9347;e.sixteenperiod=9367;e.sixthai=3670;e.slash=47;e.slashmonospace=65295;e.slong=383;e.slongdotaccent=7835;e.smileface=9786;e.smonospace=65363;e.sofpasuqhebrew=1475;e.softhyphen=173;e.softsigncyrillic=1100;e.sohiragana=12381;e.sokatakana=12477;e.sokatakanahalfwidth=65407;e.soliduslongoverlaycmb=824;e.solidusshortoverlaycmb=823;e.sorusithai=3625;e.sosalathai=3624;e.sosothai=3595;e.sosuathai=3626;e.space=32;e.spacehackarabic=32;e.spade=9824;e.spadesuitblack=9824;e.spadesuitwhite=9828;e.sparen=9390;e.squarebelowcmb=827;e.squarecc=13252;e.squarecm=13213;e.squarediagonalcrosshatchfill=9641;e.squarehorizontalfill=9636;e.squarekg=13199;e.squarekm=13214;e.squarekmcapital=13262;e.squareln=13265;e.squarelog=13266;e.squaremg=13198;e.squaremil=13269;e.squaremm=13212;e.squaremsquared=13217;e.squareorthogonalcrosshatchfill=9638;e.squareupperlefttolowerrightfill=9639;e.squareupperrighttolowerleftfill=9640;e.squareverticalfill=9637;e.squarewhitewithsmallblack=9635;e.srsquare=13275;e.ssabengali=2487;e.ssadeva=2359;e.ssagujarati=2743;e.ssangcieuckorean=12617;e.ssanghieuhkorean=12677;e.ssangieungkorean=12672;e.ssangkiyeokkorean=12594;e.ssangnieunkorean=12645;e.ssangpieupkorean=12611;e.ssangsioskorean=12614;e.ssangtikeutkorean=12600;e.ssuperior=63218;e.sterling=163;e.sterlingmonospace=65505;e.strokelongoverlaycmb=822;e.strokeshortoverlaycmb=821;e.subset=8834;e.subsetnotequal=8842;e.subsetorequal=8838;e.succeeds=8827;e.suchthat=8715;e.suhiragana=12377;e.sukatakana=12473;e.sukatakanahalfwidth=65405;e.sukunarabic=1618;e.summation=8721;e.sun=9788;e.superset=8835;e.supersetnotequal=8843;e.supersetorequal=8839;e.svsquare=13276;e.syouwaerasquare=13180;e.t=116;e.tabengali=2468;e.tackdown=8868;e.tackleft=8867;e.tadeva=2340;e.tagujarati=2724;e.tagurmukhi=2596;e.taharabic=1591;e.tahfinalarabic=65218;e.tahinitialarabic=65219;e.tahiragana=12383;e.tahmedialarabic=65220;e.taisyouerasquare=13181;e.takatakana=12479;e.takatakanahalfwidth=65408;e.tatweelarabic=1600;e.tau=964;e.tav=1514;e.tavdages=64330;e.tavdagesh=64330;e.tavdageshhebrew=64330;e.tavhebrew=1514;e.tbar=359;e.tbopomofo=12554;e.tcaron=357;e.tccurl=680;e.tcedilla=355;e.tcheharabic=1670;e.tchehfinalarabic=64379;e.tchehinitialarabic=64380;e.tchehmedialarabic=64381;e.tcircle=9443;e.tcircumflexbelow=7793;e.tcommaaccent=355;e.tdieresis=7831;e.tdotaccent=7787;e.tdotbelow=7789;e.tecyrillic=1090;e.tedescendercyrillic=1197;e.teharabic=1578;e.tehfinalarabic=65174;e.tehhahinitialarabic=64674;e.tehhahisolatedarabic=64524;e.tehinitialarabic=65175;e.tehiragana=12390;e.tehjeeminitialarabic=64673;e.tehjeemisolatedarabic=64523;e.tehmarbutaarabic=1577;e.tehmarbutafinalarabic=65172;e.tehmedialarabic=65176;e.tehmeeminitialarabic=64676;e.tehmeemisolatedarabic=64526;e.tehnoonfinalarabic=64627;e.tekatakana=12486;e.tekatakanahalfwidth=65411;e.telephone=8481;e.telephoneblack=9742;e.telishagedolahebrew=1440;e.telishaqetanahebrew=1449;e.tencircle=9321;e.tenideographicparen=12841;e.tenparen=9341;e.tenperiod=9361;e.tenroman=8569;e.tesh=679;e.tet=1496;e.tetdagesh=64312;e.tetdageshhebrew=64312;e.tethebrew=1496;e.tetsecyrillic=1205;e.tevirhebrew=1435;e.tevirlefthebrew=1435;e.thabengali=2469;e.thadeva=2341;e.thagujarati=2725;e.thagurmukhi=2597;e.thalarabic=1584;e.thalfinalarabic=65196;e.thanthakhatlowleftthai=63640;e.thanthakhatlowrightthai=63639;e.thanthakhatthai=3660;e.thanthakhatupperleftthai=63638;e.theharabic=1579;e.thehfinalarabic=65178;e.thehinitialarabic=65179;e.thehmedialarabic=65180;e.thereexists=8707;e.therefore=8756;e.theta=952;e.theta1=977;e.thetasymbolgreek=977;e.thieuthacirclekorean=12921;e.thieuthaparenkorean=12825;e.thieuthcirclekorean=12907;e.thieuthkorean=12620;e.thieuthparenkorean=12811;e.thirteencircle=9324;e.thirteenparen=9344;e.thirteenperiod=9364;e.thonangmonthothai=3601;e.thook=429;e.thophuthaothai=3602;e.thorn=254;e.thothahanthai=3607;e.thothanthai=3600;e.thothongthai=3608;e.thothungthai=3606;e.thousandcyrillic=1154;e.thousandsseparatorarabic=1644;e.thousandsseparatorpersian=1644;e.three=51;e.threearabic=1635;e.threebengali=2537;e.threecircle=9314;e.threecircleinversesansserif=10124;e.threedeva=2409;e.threeeighths=8540;e.threegujarati=2793;e.threegurmukhi=2665;e.threehackarabic=1635;e.threehangzhou=12323;e.threeideographicparen=12834;e.threeinferior=8323;e.threemonospace=65299;e.threenumeratorbengali=2550;e.threeoldstyle=63283;e.threeparen=9334;e.threeperiod=9354;e.threepersian=1779;e.threequarters=190;e.threequartersemdash=63198;e.threeroman=8562;e.threesuperior=179;e.threethai=3667;e.thzsquare=13204;e.tihiragana=12385;e.tikatakana=12481;e.tikatakanahalfwidth=65409;e.tikeutacirclekorean=12912;e.tikeutaparenkorean=12816;e.tikeutcirclekorean=12898;e.tikeutkorean=12599;e.tikeutparenkorean=12802;e.tilde=732;e.tildebelowcmb=816;e.tildecmb=771;e.tildecomb=771;e.tildedoublecmb=864;e.tildeoperator=8764;e.tildeoverlaycmb=820;e.tildeverticalcmb=830;e.timescircle=8855;e.tipehahebrew=1430;e.tipehalefthebrew=1430;e.tippigurmukhi=2672;e.titlocyrilliccmb=1155;e.tiwnarmenian=1407;e.tlinebelow=7791;e.tmonospace=65364;e.toarmenian=1385;e.tohiragana=12392;e.tokatakana=12488;e.tokatakanahalfwidth=65412;e.tonebarextrahighmod=741;e.tonebarextralowmod=745;e.tonebarhighmod=742;e.tonebarlowmod=744;e.tonebarmidmod=743;e.tonefive=445;e.tonesix=389;e.tonetwo=424;e.tonos=900;e.tonsquare=13095;e.topatakthai=3599;e.tortoiseshellbracketleft=12308;e.tortoiseshellbracketleftsmall=65117;e.tortoiseshellbracketleftvertical=65081;e.tortoiseshellbracketright=12309;e.tortoiseshellbracketrightsmall=65118;e.tortoiseshellbracketrightvertical=65082;e.totaothai=3605;e.tpalatalhook=427;e.tparen=9391;e.trademark=8482;e.trademarksans=63722;e.trademarkserif=63195;e.tretroflexhook=648;e.triagdn=9660;e.triaglf=9668;e.triagrt=9658;e.triagup=9650;e.ts=678;e.tsadi=1510;e.tsadidagesh=64326;e.tsadidageshhebrew=64326;e.tsadihebrew=1510;e.tsecyrillic=1094;e.tsere=1461;e.tsere12=1461;e.tsere1e=1461;e.tsere2b=1461;e.tserehebrew=1461;e.tserenarrowhebrew=1461;e.tserequarterhebrew=1461;e.tserewidehebrew=1461;e.tshecyrillic=1115;e.tsuperior=63219;e.ttabengali=2463;e.ttadeva=2335;e.ttagujarati=2719;e.ttagurmukhi=2591;e.tteharabic=1657;e.ttehfinalarabic=64359;e.ttehinitialarabic=64360;e.ttehmedialarabic=64361;e.tthabengali=2464;e.tthadeva=2336;e.tthagujarati=2720;e.tthagurmukhi=2592;e.tturned=647;e.tuhiragana=12388;e.tukatakana=12484;e.tukatakanahalfwidth=65410;e.tusmallhiragana=12387;e.tusmallkatakana=12483;e.tusmallkatakanahalfwidth=65391;e.twelvecircle=9323;e.twelveparen=9343;e.twelveperiod=9363;e.twelveroman=8571;e.twentycircle=9331;e.twentyhangzhou=21316;e.twentyparen=9351;e.twentyperiod=9371;e.two=50;e.twoarabic=1634;e.twobengali=2536;e.twocircle=9313;e.twocircleinversesansserif=10123;e.twodeva=2408;e.twodotenleader=8229;e.twodotleader=8229;e.twodotleadervertical=65072;e.twogujarati=2792;e.twogurmukhi=2664;e.twohackarabic=1634;e.twohangzhou=12322;e.twoideographicparen=12833;e.twoinferior=8322;e.twomonospace=65298;e.twonumeratorbengali=2549;e.twooldstyle=63282;e.twoparen=9333;e.twoperiod=9353;e.twopersian=1778;e.tworoman=8561;e.twostroke=443;e.twosuperior=178;e.twothai=3666;e.twothirds=8532;e.u=117;e.uacute=250;e.ubar=649;e.ubengali=2441;e.ubopomofo=12584;e.ubreve=365;e.ucaron=468;e.ucircle=9444;e.ucircumflex=251;e.ucircumflexbelow=7799;e.ucyrillic=1091;e.udattadeva=2385;e.udblacute=369;e.udblgrave=533;e.udeva=2313;e.udieresis=252;e.udieresisacute=472;e.udieresisbelow=7795;e.udieresiscaron=474;e.udieresiscyrillic=1265;e.udieresisgrave=476;e.udieresismacron=470;e.udotbelow=7909;e.ugrave=249;e.ugujarati=2697;e.ugurmukhi=2569;e.uhiragana=12358;e.uhookabove=7911;e.uhorn=432;e.uhornacute=7913;e.uhorndotbelow=7921;e.uhorngrave=7915;e.uhornhookabove=7917;e.uhorntilde=7919;e.uhungarumlaut=369;e.uhungarumlautcyrillic=1267;e.uinvertedbreve=535;e.ukatakana=12454;e.ukatakanahalfwidth=65395;e.ukcyrillic=1145;e.ukorean=12636;e.umacron=363;e.umacroncyrillic=1263;e.umacrondieresis=7803;e.umatragurmukhi=2625;e.umonospace=65365;e.underscore=95;e.underscoredbl=8215;e.underscoremonospace=65343;e.underscorevertical=65075;e.underscorewavy=65103;e.union=8746;e.universal=8704;e.uogonek=371;e.uparen=9392;e.upblock=9600;e.upperdothebrew=1476;e.upsilon=965;e.upsilondieresis=971;e.upsilondieresistonos=944;e.upsilonlatin=650;e.upsilontonos=973;e.uptackbelowcmb=797;e.uptackmod=724;e.uragurmukhi=2675;e.uring=367;e.ushortcyrillic=1118;e.usmallhiragana=12357;e.usmallkatakana=12453;e.usmallkatakanahalfwidth=65385;e.ustraightcyrillic=1199;e.ustraightstrokecyrillic=1201;e.utilde=361;e.utildeacute=7801;e.utildebelow=7797;e.uubengali=2442;e.uudeva=2314;e.uugujarati=2698;e.uugurmukhi=2570;e.uumatragurmukhi=2626;e.uuvowelsignbengali=2498;e.uuvowelsigndeva=2370;e.uuvowelsigngujarati=2754;e.uvowelsignbengali=2497;e.uvowelsigndeva=2369;e.uvowelsigngujarati=2753;e.v=118;e.vadeva=2357;e.vagujarati=2741;e.vagurmukhi=2613;e.vakatakana=12535;e.vav=1493;e.vavdagesh=64309;e.vavdagesh65=64309;e.vavdageshhebrew=64309;e.vavhebrew=1493;e.vavholam=64331;e.vavholamhebrew=64331;e.vavvavhebrew=1520;e.vavyodhebrew=1521;e.vcircle=9445;e.vdotbelow=7807;e.vecyrillic=1074;e.veharabic=1700;e.vehfinalarabic=64363;e.vehinitialarabic=64364;e.vehmedialarabic=64365;e.vekatakana=12537;e.venus=9792;e.verticalbar=124;e.verticallineabovecmb=781;e.verticallinebelowcmb=809;e.verticallinelowmod=716;e.verticallinemod=712;e.vewarmenian=1406;e.vhook=651;e.vikatakana=12536;e.viramabengali=2509;e.viramadeva=2381;e.viramagujarati=2765;e.visargabengali=2435;e.visargadeva=2307;e.visargagujarati=2691;e.vmonospace=65366;e.voarmenian=1400;e.voicediterationhiragana=12446;e.voicediterationkatakana=12542;e.voicedmarkkana=12443;e.voicedmarkkanahalfwidth=65438;e.vokatakana=12538;e.vparen=9393;e.vtilde=7805;e.vturned=652;e.vuhiragana=12436;e.vukatakana=12532;e.w=119;e.wacute=7811;e.waekorean=12633;e.wahiragana=12431;e.wakatakana=12527;e.wakatakanahalfwidth=65436;e.wakorean=12632;e.wasmallhiragana=12430;e.wasmallkatakana=12526;e.wattosquare=13143;e.wavedash=12316;e.wavyunderscorevertical=65076;e.wawarabic=1608;e.wawfinalarabic=65262;e.wawhamzaabovearabic=1572;e.wawhamzaabovefinalarabic=65158;e.wbsquare=13277;e.wcircle=9446;e.wcircumflex=373;e.wdieresis=7813;e.wdotaccent=7815;e.wdotbelow=7817;e.wehiragana=12433;e.weierstrass=8472;e.wekatakana=12529;e.wekorean=12638;e.weokorean=12637;e.wgrave=7809;e.whitebullet=9702;e.whitecircle=9675;e.whitecircleinverse=9689;e.whitecornerbracketleft=12302;e.whitecornerbracketleftvertical=65091;e.whitecornerbracketright=12303;e.whitecornerbracketrightvertical=65092;e.whitediamond=9671;e.whitediamondcontainingblacksmalldiamond=9672;e.whitedownpointingsmalltriangle=9663;e.whitedownpointingtriangle=9661;e.whiteleftpointingsmalltriangle=9667;e.whiteleftpointingtriangle=9665;e.whitelenticularbracketleft=12310;e.whitelenticularbracketright=12311;e.whiterightpointingsmalltriangle=9657;e.whiterightpointingtriangle=9655;e.whitesmallsquare=9643;e.whitesmilingface=9786;e.whitesquare=9633;e.whitestar=9734;e.whitetelephone=9743;e.whitetortoiseshellbracketleft=12312;e.whitetortoiseshellbracketright=12313;e.whiteuppointingsmalltriangle=9653;e.whiteuppointingtriangle=9651;e.wihiragana=12432;e.wikatakana=12528;e.wikorean=12639;e.wmonospace=65367;e.wohiragana=12434;e.wokatakana=12530;e.wokatakanahalfwidth=65382;e.won=8361;e.wonmonospace=65510;e.wowaenthai=3623;e.wparen=9394;e.wring=7832;e.wsuperior=695;e.wturned=653;e.wynn=447;e.x=120;e.xabovecmb=829;e.xbopomofo=12562;e.xcircle=9447;e.xdieresis=7821;e.xdotaccent=7819;e.xeharmenian=1389;e.xi=958;e.xmonospace=65368;e.xparen=9395;e.xsuperior=739;e.y=121;e.yaadosquare=13134;e.yabengali=2479;e.yacute=253;e.yadeva=2351;e.yaekorean=12626;e.yagujarati=2735;e.yagurmukhi=2607;e.yahiragana=12420;e.yakatakana=12516;e.yakatakanahalfwidth=65428;e.yakorean=12625;e.yamakkanthai=3662;e.yasmallhiragana=12419;e.yasmallkatakana=12515;e.yasmallkatakanahalfwidth=65388;e.yatcyrillic=1123;e.ycircle=9448;e.ycircumflex=375;e.ydieresis=255;e.ydotaccent=7823;e.ydotbelow=7925;e.yeharabic=1610;e.yehbarreearabic=1746;e.yehbarreefinalarabic=64431;e.yehfinalarabic=65266;e.yehhamzaabovearabic=1574;e.yehhamzaabovefinalarabic=65162;e.yehhamzaaboveinitialarabic=65163;e.yehhamzaabovemedialarabic=65164;e.yehinitialarabic=65267;e.yehmedialarabic=65268;e.yehmeeminitialarabic=64733;e.yehmeemisolatedarabic=64600;e.yehnoonfinalarabic=64660;e.yehthreedotsbelowarabic=1745;e.yekorean=12630;e.yen=165;e.yenmonospace=65509;e.yeokorean=12629;e.yeorinhieuhkorean=12678;e.yerahbenyomohebrew=1450;e.yerahbenyomolefthebrew=1450;e.yericyrillic=1099;e.yerudieresiscyrillic=1273;e.yesieungkorean=12673;e.yesieungpansioskorean=12675;e.yesieungsioskorean=12674;e.yetivhebrew=1434;e.ygrave=7923;e.yhook=436;e.yhookabove=7927;e.yiarmenian=1397;e.yicyrillic=1111;e.yikorean=12642;e.yinyang=9775;e.yiwnarmenian=1410;e.ymonospace=65369;e.yod=1497;e.yoddagesh=64313;e.yoddageshhebrew=64313;e.yodhebrew=1497;e.yodyodhebrew=1522;e.yodyodpatahhebrew=64287;e.yohiragana=12424;e.yoikorean=12681;e.yokatakana=12520;e.yokatakanahalfwidth=65430;e.yokorean=12635;e.yosmallhiragana=12423;e.yosmallkatakana=12519;e.yosmallkatakanahalfwidth=65390;e.yotgreek=1011;e.yoyaekorean=12680;e.yoyakorean=12679;e.yoyakthai=3618;e.yoyingthai=3597;e.yparen=9396;e.ypogegrammeni=890;e.ypogegrammenigreekcmb=837;e.yr=422;e.yring=7833;e.ysuperior=696;e.ytilde=7929;e.yturned=654;e.yuhiragana=12422;e.yuikorean=12684;e.yukatakana=12518;e.yukatakanahalfwidth=65429;e.yukorean=12640;e.yusbigcyrillic=1131;e.yusbigiotifiedcyrillic=1133;e.yuslittlecyrillic=1127;e.yuslittleiotifiedcyrillic=1129;e.yusmallhiragana=12421;e.yusmallkatakana=12517;e.yusmallkatakanahalfwidth=65389;e.yuyekorean=12683;e.yuyeokorean=12682;e.yyabengali=2527;e.yyadeva=2399;e.z=122;e.zaarmenian=1382;e.zacute=378;e.zadeva=2395;e.zagurmukhi=2651;e.zaharabic=1592;e.zahfinalarabic=65222;e.zahinitialarabic=65223;e.zahiragana=12374;e.zahmedialarabic=65224;e.zainarabic=1586;e.zainfinalarabic=65200;e.zakatakana=12470;e.zaqefgadolhebrew=1429;e.zaqefqatanhebrew=1428;e.zarqahebrew=1432;e.zayin=1494;e.zayindagesh=64310;e.zayindageshhebrew=64310;e.zayinhebrew=1494;e.zbopomofo=12567;e.zcaron=382;e.zcircle=9449;e.zcircumflex=7825;e.zcurl=657;e.zdot=380;e.zdotaccent=380;e.zdotbelow=7827;e.zecyrillic=1079;e.zedescendercyrillic=1177;e.zedieresiscyrillic=1247;e.zehiragana=12380;e.zekatakana=12476;e.zero=48;e.zeroarabic=1632;e.zerobengali=2534;e.zerodeva=2406;e.zerogujarati=2790;e.zerogurmukhi=2662;e.zerohackarabic=1632;e.zeroinferior=8320;e.zeromonospace=65296;e.zerooldstyle=63280;e.zeropersian=1776;e.zerosuperior=8304;e.zerothai=3664;e.zerowidthjoiner=65279;e.zerowidthnonjoiner=8204;e.zerowidthspace=8203;e.zeta=950;e.zhbopomofo=12563;e.zhearmenian=1386;e.zhebrevecyrillic=1218;e.zhecyrillic=1078;e.zhedescendercyrillic=1175;e.zhedieresiscyrillic=1245;e.zihiragana=12376;e.zikatakana=12472;e.zinorhebrew=1454;e.zlinebelow=7829;e.zmonospace=65370;e.zohiragana=12382;e.zokatakana=12478;e.zparen=9397;e.zretroflexhook=656;e.zstroke=438;e.zuhiragana=12378;e.zukatakana=12474;e[".notdef"]=0;e.angbracketleftbig=9001;e.angbracketleftBig=9001;e.angbracketleftbigg=9001;e.angbracketleftBigg=9001;e.angbracketrightBig=9002;e.angbracketrightbig=9002;e.angbracketrightBigg=9002;e.angbracketrightbigg=9002;e.arrowhookleft=8618;e.arrowhookright=8617;e.arrowlefttophalf=8636;e.arrowleftbothalf=8637;e.arrownortheast=8599;e.arrownorthwest=8598;e.arrowrighttophalf=8640;e.arrowrightbothalf=8641;e.arrowsoutheast=8600;e.arrowsouthwest=8601;e.backslashbig=8726;e.backslashBig=8726;e.backslashBigg=8726;e.backslashbigg=8726;e.bardbl=8214;e.bracehtipdownleft=65079;e.bracehtipdownright=65079;e.bracehtipupleft=65080;e.bracehtipupright=65080;e.braceleftBig=123;e.braceleftbig=123;e.braceleftbigg=123;e.braceleftBigg=123;e.bracerightBig=125;e.bracerightbig=125;e.bracerightbigg=125;e.bracerightBigg=125;e.bracketleftbig=91;e.bracketleftBig=91;e.bracketleftbigg=91;e.bracketleftBigg=91;e.bracketrightBig=93;e.bracketrightbig=93;e.bracketrightbigg=93;e.bracketrightBigg=93;e.ceilingleftbig=8968;e.ceilingleftBig=8968;e.ceilingleftBigg=8968;e.ceilingleftbigg=8968;e.ceilingrightbig=8969;e.ceilingrightBig=8969;e.ceilingrightbigg=8969;e.ceilingrightBigg=8969;e.circledotdisplay=8857;e.circledottext=8857;e.circlemultiplydisplay=8855;e.circlemultiplytext=8855;e.circleplusdisplay=8853;e.circleplustext=8853;e.contintegraldisplay=8750;e.contintegraltext=8750;e.coproductdisplay=8720;e.coproducttext=8720;e.floorleftBig=8970;e.floorleftbig=8970;e.floorleftbigg=8970;e.floorleftBigg=8970;e.floorrightbig=8971;e.floorrightBig=8971;e.floorrightBigg=8971;e.floorrightbigg=8971;e.hatwide=770;e.hatwider=770;e.hatwidest=770;e.intercal=7488;e.integraldisplay=8747;e.integraltext=8747;e.intersectiondisplay=8898;e.intersectiontext=8898;e.logicalanddisplay=8743;e.logicalandtext=8743;e.logicalordisplay=8744;e.logicalortext=8744;e.parenleftBig=40;e.parenleftbig=40;e.parenleftBigg=40;e.parenleftbigg=40;e.parenrightBig=41;e.parenrightbig=41;e.parenrightBigg=41;e.parenrightbigg=41;e.prime=8242;e.productdisplay=8719;e.producttext=8719;e.radicalbig=8730;e.radicalBig=8730;e.radicalBigg=8730;e.radicalbigg=8730;e.radicalbt=8730;e.radicaltp=8730;e.radicalvertex=8730;e.slashbig=47;e.slashBig=47;e.slashBigg=47;e.slashbigg=47;e.summationdisplay=8721;e.summationtext=8721;e.tildewide=732;e.tildewider=732;e.tildewidest=732;e.uniondisplay=8899;e.unionmultidisplay=8846;e.unionmultitext=8846;e.unionsqdisplay=8852;e.unionsqtext=8852;e.uniontext=8899;e.vextenddouble=8741;e.vextendsingle=8739})),Ir=getLookupTableFactory((function(e){e.space=32;e.a1=9985;e.a2=9986;e.a202=9987;e.a3=9988;e.a4=9742;e.a5=9990;e.a119=9991;e.a118=9992;e.a117=9993;e.a11=9755;e.a12=9758;e.a13=9996;e.a14=9997;e.a15=9998;e.a16=9999;e.a105=1e4;e.a17=10001;e.a18=10002;e.a19=10003;e.a20=10004;e.a21=10005;e.a22=10006;e.a23=10007;e.a24=10008;e.a25=10009;e.a26=10010;e.a27=10011;e.a28=10012;e.a6=10013;e.a7=10014;e.a8=10015;e.a9=10016;e.a10=10017;e.a29=10018;e.a30=10019;e.a31=10020;e.a32=10021;e.a33=10022;e.a34=10023;e.a35=9733;e.a36=10025;e.a37=10026;e.a38=10027;e.a39=10028;e.a40=10029;e.a41=10030;e.a42=10031;e.a43=10032;e.a44=10033;e.a45=10034;e.a46=10035;e.a47=10036;e.a48=10037;e.a49=10038;e.a50=10039;e.a51=10040;e.a52=10041;e.a53=10042;e.a54=10043;e.a55=10044;e.a56=10045;e.a57=10046;e.a58=10047;e.a59=10048;e.a60=10049;e.a61=10050;e.a62=10051;e.a63=10052;e.a64=10053;e.a65=10054;e.a66=10055;e.a67=10056;e.a68=10057;e.a69=10058;e.a70=10059;e.a71=9679;e.a72=10061;e.a73=9632;e.a74=10063;e.a203=10064;e.a75=10065;e.a204=10066;e.a76=9650;e.a77=9660;e.a78=9670;e.a79=10070;e.a81=9687;e.a82=10072;e.a83=10073;e.a84=10074;e.a97=10075;e.a98=10076;e.a99=10077;e.a100=10078;e.a101=10081;e.a102=10082;e.a103=10083;e.a104=10084;e.a106=10085;e.a107=10086;e.a108=10087;e.a112=9827;e.a111=9830;e.a110=9829;e.a109=9824;e.a120=9312;e.a121=9313;e.a122=9314;e.a123=9315;e.a124=9316;e.a125=9317;e.a126=9318;e.a127=9319;e.a128=9320;e.a129=9321;e.a130=10102;e.a131=10103;e.a132=10104;e.a133=10105;e.a134=10106;e.a135=10107;e.a136=10108;e.a137=10109;e.a138=10110;e.a139=10111;e.a140=10112;e.a141=10113;e.a142=10114;e.a143=10115;e.a144=10116;e.a145=10117;e.a146=10118;e.a147=10119;e.a148=10120;e.a149=10121;e.a150=10122;e.a151=10123;e.a152=10124;e.a153=10125;e.a154=10126;e.a155=10127;e.a156=10128;e.a157=10129;e.a158=10130;e.a159=10131;e.a160=10132;e.a161=8594;e.a163=8596;e.a164=8597;e.a196=10136;e.a165=10137;e.a192=10138;e.a166=10139;e.a167=10140;e.a168=10141;e.a169=10142;e.a170=10143;e.a171=10144;e.a172=10145;e.a173=10146;e.a162=10147;e.a174=10148;e.a175=10149;e.a176=10150;e.a177=10151;e.a178=10152;e.a179=10153;e.a193=10154;e.a180=10155;e.a199=10156;e.a181=10157;e.a200=10158;e.a182=10159;e.a201=10161;e.a183=10162;e.a184=10163;e.a197=10164;e.a185=10165;e.a194=10166;e.a198=10167;e.a186=10168;e.a195=10169;e.a187=10170;e.a188=10171;e.a189=10172;e.a190=10173;e.a191=10174;e.a89=10088;e.a90=10089;e.a93=10090;e.a94=10091;e.a91=10092;e.a92=10093;e.a205=10094;e.a85=10095;e.a206=10096;e.a86=10097;e.a87=10098;e.a88=10099;e.a95=10100;e.a96=10101;e[".notdef"]=0})),Tr=getLookupTableFactory((function(e){e[63721]=169;e[63193]=169;e[63720]=174;e[63194]=174;e[63722]=8482;e[63195]=8482;e[63729]=9127;e[63730]=9128;e[63731]=9129;e[63740]=9131;e[63741]=9132;e[63742]=9133;e[63726]=9121;e[63727]=9122;e[63728]=9123;e[63737]=9124;e[63738]=9125;e[63739]=9126;e[63723]=9115;e[63724]=9116;e[63725]=9117;e[63734]=9118;e[63735]=9119;e[63736]=9120}));function getUnicodeForGlyph(e,t){let a=t[e];if(void 0!==a)return a;if(!e)return-1;if("u"===e[0]){const t=e.length;let r;if(7===t&&"n"===e[1]&&"i"===e[2])r=e.substring(3);else{if(!(t>=5&&t<=7))return-1;r=e.substring(1)}if(r===r.toUpperCase()){a=parseInt(r,16);if(a>=0)return a}}return-1}const Or=[[0,127],[128,255],[256,383],[384,591],[592,687,7424,7551,7552,7615],[688,767,42752,42783],[768,879,7616,7679],[880,1023],[11392,11519],[1024,1279,1280,1327,11744,11775,42560,42655],[1328,1423],[1424,1535],[42240,42559],[1536,1791,1872,1919],[1984,2047],[2304,2431],[2432,2559],[2560,2687],[2688,2815],[2816,2943],[2944,3071],[3072,3199],[3200,3327],[3328,3455],[3584,3711],[3712,3839],[4256,4351,11520,11567],[6912,7039],[4352,4607],[7680,7935,11360,11391,42784,43007],[7936,8191],[8192,8303,11776,11903],[8304,8351],[8352,8399],[8400,8447],[8448,8527],[8528,8591],[8592,8703,10224,10239,10496,10623,11008,11263],[8704,8959,10752,11007,10176,10223,10624,10751],[8960,9215],[9216,9279],[9280,9311],[9312,9471],[9472,9599],[9600,9631],[9632,9727],[9728,9983],[9984,10175],[12288,12351],[12352,12447],[12448,12543,12784,12799],[12544,12591,12704,12735],[12592,12687],[43072,43135],[12800,13055],[13056,13311],[44032,55215],[55296,57343],[67840,67871],[19968,40959,11904,12031,12032,12255,12272,12287,13312,19903,131072,173791,12688,12703],[57344,63743],[12736,12783,63744,64255,194560,195103],[64256,64335],[64336,65023],[65056,65071],[65040,65055],[65104,65135],[65136,65279],[65280,65519],[65520,65535],[3840,4095],[1792,1871],[1920,1983],[3456,3583],[4096,4255],[4608,4991,4992,5023,11648,11743],[5024,5119],[5120,5759],[5760,5791],[5792,5887],[6016,6143],[6144,6319],[10240,10495],[40960,42127],[5888,5919,5920,5951,5952,5983,5984,6015],[66304,66351],[66352,66383],[66560,66639],[118784,119039,119040,119295,119296,119375],[119808,120831],[1044480,1048573],[65024,65039,917760,917999],[917504,917631],[6400,6479],[6480,6527],[6528,6623],[6656,6687],[11264,11359],[11568,11647],[19904,19967],[43008,43055],[65536,65663,65664,65791,65792,65855],[65856,65935],[66432,66463],[66464,66527],[66640,66687],[66688,66735],[67584,67647],[68096,68191],[119552,119647],[73728,74751,74752,74879],[119648,119679],[7040,7103],[7168,7247],[7248,7295],[43136,43231],[43264,43311],[43312,43359],[43520,43615],[65936,65999],[66e3,66047],[66208,66271,66176,66207,67872,67903],[127024,127135,126976,127023]];function 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CFFParser{constructor(e,t,a){this.bytes=e.getBytes();this.properties=t;this.seacAnalysisEnabled=!!a}parse(){const e=this.properties,t=new CFF;this.cff=t;const a=this.parseHeader(),r=this.parseIndex(a.endPos),i=this.parseIndex(r.endPos),n=this.parseIndex(i.endPos),s=this.parseIndex(n.endPos),o=this.parseDict(i.obj.get(0)),c=this.createDict(CFFTopDict,o,t.strings);t.header=a.obj;t.names=this.parseNameIndex(r.obj);t.strings=this.parseStringIndex(n.obj);t.topDict=c;t.globalSubrIndex=s.obj;this.parsePrivateDict(t.topDict);t.isCIDFont=c.hasName("ROS");const l=c.getByName("CharStrings"),h=this.parseIndex(l).obj,u=c.getByName("FontMatrix");u&&(e.fontMatrix=u);const d=c.getByName("FontBBox");if(d){e.ascent=Math.max(d[3],d[1]);e.descent=Math.min(d[1],d[3]);e.ascentScaled=!0}let f,g;if(t.isCIDFont){const e=this.parseIndex(c.getByName("FDArray")).obj;for(let a=0,r=e.count;a<r;++a){const r=e.get(a),i=this.createDict(CFFTopDict,this.parseDict(r),t.strings);this.parsePrivateDict(i);t.fdArray.push(i)}g=null;f=this.parseCharsets(c.getByName("charset"),h.count,t.strings,!0);t.fdSelect=this.parseFDSelect(c.getByName("FDSelect"),h.count)}else{f=this.parseCharsets(c.getByName("charset"),h.count,t.strings,!1);g=this.parseEncoding(c.getByName("Encoding"),e,t.strings,f.charset)}t.charset=f;t.encoding=g;const p=this.parseCharStrings({charStrings:h,localSubrIndex:c.privateDict.subrsIndex,globalSubrIndex:s.obj,fdSelect:t.fdSelect,fdArray:t.fdArray,privateDict:c.privateDict});t.charStrings=p.charStrings;t.seacs=p.seacs;t.widths=p.widths;return t}parseHeader(){let e=this.bytes;const t=e.length;let a=0;for(;a<t&&1!==e[a];)++a;if(a>=t)throw new FormatError("Invalid CFF header");if(0!==a){info("cff data is shifted");e=e.subarray(a);this.bytes=e}const r=e[0],i=e[1],n=e[2],s=e[3];return{obj:new CFFHeader(r,i,n,s),endPos:n}}parseDict(e){let t=0;function parseOperand(){let a=e[t++];if(30===a)return function parseFloatOperand(){let a="";const r=15,i=["0","1","2","3","4","5","6","7","8","9",".","E","E-",null,"-"],n=e.length;for(;t<n;){const n=e[t++],s=n>>4,o=15&n;if(s===r)break;a+=i[s];if(o===r)break;a+=i[o]}return parseFloat(a)}();if(28===a){a=readInt16(e,t);t+=2;return a}if(29===a){a=e[t++];a=a<<8|e[t++];a=a<<8|e[t++];a=a<<8|e[t++];return a}if(a>=32&&a<=246)return a-139;if(a>=247&&a<=250)return 256*(a-247)+e[t++]+108;if(a>=251&&a<=254)return-256*(a-251)-e[t++]-108;warn(\'CFFParser_parseDict: "\'+a+\'" is a reserved command.\');return NaN}let a=[];const r=[];t=0;const i=e.length;for(;t<i;){let i=e[t];if(i<=21){12===i&&(i=i<<8|e[++t]);r.push([i,a]);a=[];++t}else a.push(parseOperand())}return r}parseIndex(e){const t=new CFFIndex,a=this.bytes,r=a[e++]<<8|a[e++],i=[];let n,s,o=e;if(0!==r){const t=a[e++],c=e+(r+1)*t-1;for(n=0,s=r+1;n<s;++n){let r=0;for(let i=0;i<t;++i){r<<=8;r+=a[e++]}i.push(c+r)}o=i[r]}for(n=0,s=i.length-1;n<s;++n){const e=i[n],r=i[n+1];t.add(a.subarray(e,r))}return{obj:t,endPos:o}}parseNameIndex(e){const t=[];for(let a=0,r=e.count;a<r;++a){const r=e.get(a);t.push(bytesToString(r))}return t}parseStringIndex(e){const t=new CFFStrings;for(let a=0,r=e.count;a<r;++a){const r=e.get(a);t.add(bytesToString(r))}return t}createDict(e,t,a){const r=new e(a);for(const[e,a]of t)r.setByKey(e,a);return r}parseCharString(e,t,a,r){if(!t||e.callDepth>10)return!1;let i=e.stackSize;const n=e.stack;let s=t.length;for(let o=0;o<s;){const c=t[o++];let l=null;if(12===c){const e=t[o++];if(0===e){t[o-2]=139;t[o-1]=22;i=0}else l=$r[e]}else if(28===c){n[i]=readInt16(t,o);o+=2;i++}else if(14===c){if(i>=4){i-=4;if(this.seacAnalysisEnabled){e.seac=n.slice(i,i+4);return!1}}l=zr[c]}else if(c>=32&&c<=246){n[i]=c-139;i++}else if(c>=247&&c<=254){n[i]=c<251?(c-247<<8)+t[o]+108:-(c-251<<8)-t[o]-108;o++;i++}else if(255===c){n[i]=(t[o]<<24|t[o+1]<<16|t[o+2]<<8|t[o+3])/65536;o+=4;i++}else if(19===c||20===c){e.hints+=i>>1;if(0===e.hints){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}o+=e.hints+7>>3;i%=2;l=zr[c]}else{if(10===c||29===c){const t=10===c?a:r;if(!t){l=zr[c];warn("Missing subrsIndex for "+l.id);return!1}let s=32768;t.count<1240?s=107:t.count<33900&&(s=1131);const o=n[--i]+s;if(o<0||o>=t.count||isNaN(o)){l=zr[c];warn("Out of bounds subrIndex for "+l.id);return!1}e.stackSize=i;e.callDepth++;if(!this.parseCharString(e,t.get(o),a,r))return!1;e.callDepth--;i=e.stackSize;continue}if(11===c){e.stackSize=i;return!0}if(0===c&&o===t.length){t[o-1]=14;l=zr[14]}else{if(9===c){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}l=zr[c]}}if(l){if(l.stem){e.hints+=i>>1;if(3===c||23===c)e.hasVStems=!0;else if(e.hasVStems&&(1===c||18===c)){warn("CFF stem hints are in wrong order");t[o-1]=1===c?3:23}}if("min"in l&&!e.undefStack&&i<l.min){warn("Not enough parameters for "+l.id+"; actual: "+i+", expected: "+l.min);if(0===i){t[o-1]=14;return!0}return!1}if(e.firstStackClearing&&l.stackClearing){e.firstStackClearing=!1;i-=l.min;i>=2&&l.stem?i%=2:i>1&&warn("Found too many parameters for stack-clearing command");i>0&&(e.width=n[i-1])}if("stackDelta"in l){"stackFn"in l&&l.stackFn(n,i);i+=l.stackDelta}else if(l.stackClearing)i=0;else if(l.resetStack){i=0;e.undefStack=!1}else if(l.undefStack){i=0;e.undefStack=!0;e.firstStackClearing=!1}}}s<t.length&&t.fill(14,s);e.stackSize=i;return!0}parseCharStrings({charStrings:e,localSubrIndex:t,globalSubrIndex:a,fdSelect:r,fdArray:i,privateDict:n}){const s=[],o=[],c=e.count;for(let l=0;l<c;l++){const c=e.get(l),h={callDepth:0,stackSize:0,stack:[],undefStack:!0,hints:0,firstStackClearing:!0,seac:null,width:null,hasVStems:!1};let u=!0,d=null,f=n;if(r&&i.length){const e=r.getFDIndex(l);if(-1===e){warn("Glyph index is not in fd select.");u=!1}if(e>=i.length){warn("Invalid fd index for glyph index.");u=!1}if(u){f=i[e].privateDict;d=f.subrsIndex}}else t&&(d=t);u&&(u=this.parseCharString(h,c,d,a));if(null!==h.width){const e=f.getByName("nominalWidthX");o[l]=e+h.width}else{const e=f.getByName("defaultWidthX");o[l]=e}null!==h.seac&&(s[l]=h.seac);u||e.set(l,new Uint8Array([14]))}return{charStrings:e,seacs:s,widths:o}}emptyPrivateDictionary(e){const t=this.createDict(CFFPrivateDict,[],e.strings);e.setByKey(18,[0,0]);e.privateDict=t}parsePrivateDict(e){if(!e.hasName("Private")){this.emptyPrivateDictionary(e);return}const t=e.getByName("Private");if(!Array.isArray(t)||2!==t.length){e.removeByName("Private");return}const a=t[0],r=t[1];if(0===a||r>=this.bytes.length){this.emptyPrivateDictionary(e);return}const i=r+a,n=this.bytes.subarray(r,i),s=this.parseDict(n),o=this.createDict(CFFPrivateDict,s,e.strings);e.privateDict=o;0===o.getByName("ExpansionFactor")&&o.setByName("ExpansionFactor",.06);if(!o.getByName("Subrs"))return;const c=o.getByName("Subrs"),l=r+c;if(0===c||l>=this.bytes.length){this.emptyPrivateDictionary(e);return}const h=this.parseIndex(l);o.subrsIndex=h.obj}parseCharsets(e,t,a,r){if(0===e)return new CFFCharset(!0,Kr.ISO_ADOBE,Ur);if(1===e)return new CFFCharset(!0,Kr.EXPERT,Xr);if(2===e)return new CFFCharset(!0,Kr.EXPERT_SUBSET,qr);const i=this.bytes,n=e,s=i[e++],o=[r?0:".notdef"];let c,l,h;t-=1;switch(s){case 0:for(h=0;h<t;h++){c=i[e++]<<8|i[e++];o.push(r?c:a.get(c))}break;case 1:for(;o.length<=t;){c=i[e++]<<8|i[e++];l=i[e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;case 2:for(;o.length<=t;){c=i[e++]<<8|i[e++];l=i[e++]<<8|i[e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;default:throw new FormatError("Unknown charset format")}const u=e,d=i.subarray(n,u);return new CFFCharset(!1,s,o,d)}parseEncoding(e,t,a,r){const i=Object.create(null),n=this.bytes;let s,o,c,l=!1,h=null;if(0===e||1===e){l=!0;s=e;const t=e?wr:Ar;for(o=0,c=r.length;o<c;o++){const e=t.indexOf(r[o]);-1!==e&&(i[e]=o)}}else{const t=e;s=n[e++];switch(127&s){case 0:const t=n[e++];for(o=1;o<=t;o++)i[n[e++]]=o;break;case 1:const a=n[e++];let r=1;for(o=0;o<a;o++){const t=n[e++],a=n[e++];for(let e=t;e<=t+a;e++)i[e]=r++}break;default:throw new FormatError(`Unknown encoding format: ${s} in CFF`)}const c=e;if(128&s){n[t]&=127;!function readSupplement(){const t=n[e++];for(o=0;o<t;o++){const t=n[e++],s=(n[e++]<<8)+(255&n[e++]);i[t]=r.indexOf(a.get(s))}}()}h=n.subarray(t,c)}s&=127;return new CFFEncoding(l,s,i,h)}parseFDSelect(e,t){const a=this.bytes,r=a[e++],i=[];let n;switch(r){case 0:for(n=0;n<t;++n){const t=a[e++];i.push(t)}break;case 3:const s=a[e++]<<8|a[e++];for(n=0;n<s;++n){let t=a[e++]<<8|a[e++];if(0===n&&0!==t){warn("parseFDSelect: The first range must have a first GID of 0 -- trying to recover.");t=0}const r=a[e++],s=a[e]<<8|a[e+1];for(let e=t;e<s;++e)i.push(r)}e+=2;break;default:throw new FormatError(`parseFDSelect: Unknown format "${r}".`)}if(i.length!==t)throw new FormatError("parseFDSelect: Invalid font data.");return new CFFFDSelect(r,i)}}class CFF{constructor(){this.header=null;this.names=[];this.topDict=null;this.strings=new CFFStrings;this.globalSubrIndex=null;this.encoding=null;this.charset=null;this.charStrings=null;this.fdArray=[];this.fdSelect=null;this.isCIDFont=!1}duplicateFirstGlyph(){if(this.charStrings.count>=65535){warn("Not enough space in charstrings to duplicate first glyph.");return}const e=this.charStrings.get(0);this.charStrings.add(e);this.isCIDFont&&this.fdSelect.fdSelect.push(this.fdSelect.fdSelect[0])}hasGlyphId(e){if(e<0||e>=this.charStrings.count)return!1;return this.charStrings.get(e).length>0}}class CFFHeader{constructor(e,t,a,r){this.major=e;this.minor=t;this.hdrSize=a;this.offSize=r}}class CFFStrings{constructor(){this.strings=[]}get(e){return e>=0&&e<=390?Hr[e]:e-Wr<=this.strings.length?this.strings[e-Wr]:Hr[0]}getSID(e){let t=Hr.indexOf(e);if(-1!==t)return t;t=this.strings.indexOf(e);return-1!==t?t+Wr:-1}add(e){this.strings.push(e)}get count(){return this.strings.length}}class CFFIndex{constructor(){this.objects=[];this.length=0}add(e){this.length+=e.length;this.objects.push(e)}set(e,t){this.length+=t.length-this.objects[e].length;this.objects[e]=t}get(e){return this.objects[e]}get count(){return this.objects.length}}class CFFDict{constructor(e,t){this.keyToNameMap=e.keyToNameMap;this.nameToKeyMap=e.nameToKeyMap;this.defaults=e.defaults;this.types=e.types;this.opcodes=e.opcodes;this.order=e.order;this.strings=t;this.values=Object.create(null)}setByKey(e,t){if(!(e in this.keyToNameMap))return!1;if(0===t.length)return!0;for(const a of t)if(isNaN(a)){warn(`Invalid CFFDict value: "${t}" for key "${e}".`);return!0}const a=this.types[e];"num"!==a&&"sid"!==a&&"offset"!==a||(t=t[0]);this.values[e]=t;return!0}setByName(e,t){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name "${e}"`);this.values[this.nameToKeyMap[e]]=t}hasName(e){return this.nameToKeyMap[e]in this.values}getByName(e){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name ${e}"`);const t=this.nameToKeyMap[e];return t in this.values?this.values[t]:this.defaults[t]}removeByName(e){delete this.values[this.nameToKeyMap[e]]}static createTables(e){const t={keyToNameMap:{},nameToKeyMap:{},defaults:{},types:{},opcodes:{},order:[]};for(const a of e){const e=Array.isArray(a[0])?(a[0][0]<<8)+a[0][1]:a[0];t.keyToNameMap[e]=a[1];t.nameToKeyMap[a[1]]=e;t.types[e]=a[2];t.defaults[e]=a[3];t.opcodes[e]=Array.isArray(a[0])?a[0]:[a[0]];t.order.push(e)}return t}}const Gr=[[[12,30],"ROS",["sid","sid","num"],null],[[12,20],"SyntheticBase","num",null],[0,"version","sid",null],[1,"Notice","sid",null],[[12,0],"Copyright","sid",null],[2,"FullName","sid",null],[3,"FamilyName","sid",null],[4,"Weight","sid",null],[[12,1],"isFixedPitch","num",0],[[12,2],"ItalicAngle","num",0],[[12,3],"UnderlinePosition","num",-100],[[12,4],"UnderlineThickness","num",50],[[12,5],"PaintType","num",0],[[12,6],"CharstringType","num",2],[[12,7],"FontMatrix",["num","num","num","num","num","num"],[.001,0,0,.001,0,0]],[13,"UniqueID","num",null],[5,"FontBBox",["num","num","num","num"],[0,0,0,0]],[[12,8],"StrokeWidth","num",0],[14,"XUID","array",null],[15,"charset","offset",0],[16,"Encoding","offset",0],[17,"CharStrings","offset",0],[18,"Private",["offset","offset"],null],[[12,21],"PostScript","sid",null],[[12,22],"BaseFontName","sid",null],[[12,23],"BaseFontBlend","delta",null],[[12,31],"CIDFontVersion","num",0],[[12,32],"CIDFontRevision","num",0],[[12,33],"CIDFontType","num",0],[[12,34],"CIDCount","num",8720],[[12,35],"UIDBase","num",null],[[12,37],"FDSelect","offset",null],[[12,36],"FDArray","offset",null],[[12,38],"FontName","sid",null]];class CFFTopDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Gr))}constructor(e){super(CFFTopDict.tables,e);this.privateDict=null}}const Vr=[[6,"BlueValues","delta",null],[7,"OtherBlues","delta",null],[8,"FamilyBlues","delta",null],[9,"FamilyOtherBlues","delta",null],[[12,9],"BlueScale","num",.039625],[[12,10],"BlueShift","num",7],[[12,11],"BlueFuzz","num",1],[10,"StdHW","num",null],[11,"StdVW","num",null],[[12,12],"StemSnapH","delta",null],[[12,13],"StemSnapV","delta",null],[[12,14],"ForceBold","num",0],[[12,17],"LanguageGroup","num",0],[[12,18],"ExpansionFactor","num",.06],[[12,19],"initialRandomSeed","num",0],[20,"defaultWidthX","num",0],[21,"nominalWidthX","num",0],[19,"Subrs","offset",null]];class CFFPrivateDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Vr))}constructor(e){super(CFFPrivateDict.tables,e);this.subrsIndex=null}}const Kr={ISO_ADOBE:0,EXPERT:1,EXPERT_SUBSET:2};class CFFCharset{constructor(e,t,a,r){this.predefined=e;this.format=t;this.charset=a;this.raw=r}}class CFFEncoding{constructor(e,t,a,r){this.predefined=e;this.format=t;this.encoding=a;this.raw=r}}class CFFFDSelect{constructor(e,t){this.format=e;this.fdSelect=t}getFDIndex(e){return e<0||e>=this.fdSelect.length?-1:this.fdSelect[e]}}class CFFOffsetTracker{constructor(){this.offsets=Object.create(null)}isTracking(e){return e in this.offsets}track(e,t){if(e in this.offsets)throw new FormatError(`Already tracking location of ${e}`);this.offsets[e]=t}offset(e){for(const t in this.offsets)this.offsets[t]+=e}setEntryLocation(e,t,a){if(!(e in this.offsets))throw new FormatError(`Not tracking location of ${e}`);const r=a.data,i=this.offsets[e];for(let e=0,a=t.length;e<a;++e){const a=5*e+i,n=a+1,s=a+2,o=a+3,c=a+4;if(29!==r[a]||0!==r[n]||0!==r[s]||0!==r[o]||0!==r[c])throw new FormatError("writing to an offset that is not empty");const l=t[e];r[a]=29;r[n]=l>>24&255;r[s]=l>>16&255;r[o]=l>>8&255;r[c]=255&l}}}class CFFCompiler{constructor(e){this.cff=e}compile(){const e=this.cff,t={data:[],length:0,add(e){try{this.data.push(...e)}catch{this.data=this.data.concat(e)}this.length=this.data.length}},a=this.compileHeader(e.header);t.add(a);const r=this.compileNameIndex(e.names);t.add(r);if(e.isCIDFont&&e.topDict.hasName("FontMatrix")){const t=e.topDict.getByName("FontMatrix");e.topDict.removeByName("FontMatrix");for(const a of e.fdArray){let e=t.slice(0);a.hasName("FontMatrix")&&(e=Util.transform(e,a.getByName("FontMatrix")));a.setByName("FontMatrix",e)}}const i=e.topDict.getByName("XUID");i?.length>16&&e.topDict.removeByName("XUID");e.topDict.setByName("charset",0);let n=this.compileTopDicts([e.topDict],t.length,e.isCIDFont);t.add(n.output);const s=n.trackers[0],o=this.compileStringIndex(e.strings.strings);t.add(o);const c=this.compileIndex(e.globalSubrIndex);t.add(c);if(e.encoding&&e.topDict.hasName("Encoding"))if(e.encoding.predefined)s.setEntryLocation("Encoding",[e.encoding.format],t);else{const a=this.compileEncoding(e.encoding);s.setEntryLocation("Encoding",[t.length],t);t.add(a)}const l=this.compileCharset(e.charset,e.charStrings.count,e.strings,e.isCIDFont);s.setEntryLocation("charset",[t.length],t);t.add(l);const h=this.compileCharStrings(e.charStrings);s.setEntryLocation("CharStrings",[t.length],t);t.add(h);if(e.isCIDFont){s.setEntryLocation("FDSelect",[t.length],t);const a=this.compileFDSelect(e.fdSelect);t.add(a);n=this.compileTopDicts(e.fdArray,t.length,!0);s.setEntryLocation("FDArray",[t.length],t);t.add(n.output);const r=n.trackers;this.compilePrivateDicts(e.fdArray,r,t)}this.compilePrivateDicts([e.topDict],[s],t);t.add([0]);return t.data}encodeNumber(e){return Number.isInteger(e)?this.encodeInteger(e):this.encodeFloat(e)}static get EncodeFloatRegExp(){return shadow(this,"EncodeFloatRegExp",/\\.(\\d*?)(?:9{5,20}|0{5,20})\\d{0,2}(?:e(.+)|$)/)}encodeFloat(e){let t=e.toString();const a=CFFCompiler.EncodeFloatRegExp.exec(t);if(a){const r=parseFloat("1e"+((a[2]?+a[2]:0)+a[1].length));t=(Math.round(e*r)/r).toString()}let r,i,n="";for(r=0,i=t.length;r<i;++r){const e=t[r];n+="e"===e?"-"===t[++r]?"c":"b":"."===e?"a":"-"===e?"e":e}n+=1&n.length?"f":"ff";const s=[30];for(r=0,i=n.length;r<i;r+=2)s.push(parseInt(n.substring(r,r+2),16));return s}encodeInteger(e){let t;t=e>=-107&&e<=107?[e+139]:e>=108&&e<=1131?[247+((e-=108)>>8),255&e]:e>=-1131&&e<=-108?[251+((e=-e-108)>>8),255&e]:e>=-32768&&e<=32767?[28,e>>8&255,255&e]:[29,e>>24&255,e>>16&255,e>>8&255,255&e];return t}compileHeader(e){return[e.major,e.minor,4,e.offSize]}compileNameIndex(e){const t=new CFFIndex;for(const a of e){const e=Math.min(a.length,127);let r=new Array(e);for(let t=0;t<e;t++){let e=a[t];(e<"!"||e>"~"||"["===e||"]"===e||"("===e||")"===e||"{"===e||"}"===e||"<"===e||">"===e||"/"===e||"%"===e)&&(e="_");r[t]=e}r=r.join("");""===r&&(r="Bad_Font_Name");t.add(stringToBytes(r))}return this.compileIndex(t)}compileTopDicts(e,t,a){const r=[];let i=new CFFIndex;for(const n of e){if(a){n.removeByName("CIDFontVersion");n.removeByName("CIDFontRevision");n.removeByName("CIDFontType");n.removeByName("CIDCount");n.removeByName("UIDBase")}const e=new CFFOffsetTracker,s=this.compileDict(n,e);r.push(e);i.add(s);e.offset(t)}i=this.compileIndex(i,r);return{trackers:r,output:i}}compilePrivateDicts(e,t,a){for(let r=0,i=e.length;r<i;++r){const i=e[r],n=i.privateDict;if(!n||!i.hasName("Private"))throw new FormatError("There must be a private dictionary.");const s=new CFFOffsetTracker,o=this.compileDict(n,s);let c=a.length;s.offset(c);o.length||(c=0);t[r].setEntryLocation("Private",[o.length,c],a);a.add(o);if(n.subrsIndex&&n.hasName("Subrs")){const 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FB"]=!0;e.Calisto=!0;e.Calvert=!0;e.Capitals=!0;e.Cambria=!0;e.Cartier=!0;e.Caslon=!0;e.Catull=!0;e.Centaur=!0;e["Century Old Style"]=!0;e["Century Schoolbook"]=!0;e.Chaparral=!0;e["Charis SIL"]=!0;e.Cheltenham=!0;e["Cholla Slab"]=!0;e.Clarendon=!0;e.Clearface=!0;e.Cochin=!0;e.Colonna=!0;e["Computer Modern"]=!0;e["Concrete Roman"]=!0;e.Constantia=!0;e["Cooper Black"]=!0;e.Corona=!0;e.Ecotype=!0;e.Egyptienne=!0;e.Elephant=!0;e.Excelsior=!0;e.Fairfield=!0;e["FF Scala"]=!0;e.Folkard=!0;e.Footlight=!0;e.FreeSerif=!0;e["Friz Quadrata"]=!0;e.Garamond=!0;e.Gentium=!0;e.Georgia=!0;e.Gloucester=!0;e["Goudy Old Style"]=!0;e["Goudy Schoolbook"]=!0;e["Goudy Pro Font"]=!0;e.Granjon=!0;e["Guardian Egyptian"]=!0;e.Heather=!0;e.Hercules=!0;e["High Tower Text"]=!0;e.Hiroshige=!0;e["Hoefler Text"]=!0;e["Humana Serif"]=!0;e.Imprint=!0;e["Ionic No. 5"]=!0;e.Janson=!0;e.Joanna=!0;e.Korinna=!0;e.Lexicon=!0;e.LiberationSerif=!0;e["Liberation Serif"]=!0;e["Linux Libertine"]=!0;e.Literaturnaya=!0;e.Lucida=!0;e["Lucida Bright"]=!0;e.Melior=!0;e.Memphis=!0;e.Miller=!0;e.Minion=!0;e.Modern=!0;e["Mona Lisa"]=!0;e["Mrs Eaves"]=!0;e["MS Serif"]=!0;e["Museo Slab"]=!0;e["New York"]=!0;e["Nimbus Roman"]=!0;e["NPS Rawlinson Roadway"]=!0;e.NuptialScript=!0;e.Palatino=!0;e.Perpetua=!0;e.Plantin=!0;e["Plantin Schoolbook"]=!0;e.Playbill=!0;e["Poor Richard"]=!0;e["Rawlinson Roadway"]=!0;e.Renault=!0;e.Requiem=!0;e.Rockwell=!0;e.Roman=!0;e["Rotis Serif"]=!0;e.Sabon=!0;e.Scala=!0;e.Seagull=!0;e.Sistina=!0;e.Souvenir=!0;e.STIX=!0;e["Stone Informal"]=!0;e["Stone Serif"]=!0;e.Sylfaen=!0;e.Times=!0;e.Trajan=!0;e["Trinité"]=!0;e["Trump Mediaeval"]=!0;e.Utopia=!0;e["Vale Type"]=!0;e["Bitstream Vera"]=!0;e["Vera Serif"]=!0;e.Versailles=!0;e.Wanted=!0;e.Weiss=!0;e["Wide Latin"]=!0;e.Windsor=!0;e.XITS=!0})),ei=getLookupTableFactory((function(e){e.Dingbats=!0;e.Symbol=!0;e.ZapfDingbats=!0;e.Wingdings=!0;e["Wingdings-Bold"]=!0;e["Wingdings-Regular"]=!0})),ti=getLookupTableFactory((function(e){e[2]=10;e[3]=32;e[4]=33;e[5]=34;e[6]=35;e[7]=36;e[8]=37;e[9]=38;e[10]=39;e[11]=40;e[12]=41;e[13]=42;e[14]=43;e[15]=44;e[16]=45;e[17]=46;e[18]=47;e[19]=48;e[20]=49;e[21]=50;e[22]=51;e[23]=52;e[24]=53;e[25]=54;e[26]=55;e[27]=56;e[28]=57;e[29]=58;e[30]=894;e[31]=60;e[32]=61;e[33]=62;e[34]=63;e[35]=64;e[36]=65;e[37]=66;e[38]=67;e[39]=68;e[40]=69;e[41]=70;e[42]=71;e[43]=72;e[44]=73;e[45]=74;e[46]=75;e[47]=76;e[48]=77;e[49]=78;e[50]=79;e[51]=80;e[52]=81;e[53]=82;e[54]=83;e[55]=84;e[56]=85;e[57]=86;e[58]=87;e[59]=88;e[60]=89;e[61]=90;e[62]=91;e[63]=92;e[64]=93;e[65]=94;e[66]=95;e[67]=96;e[68]=97;e[69]=98;e[70]=99;e[71]=100;e[72]=101;e[73]=102;e[74]=103;e[75]=104;e[76]=105;e[77]=106;e[78]=107;e[79]=108;e[80]=109;e[81]=110;e[82]=111;e[83]=112;e[84]=113;e[85]=114;e[86]=115;e[87]=116;e[88]=117;e[89]=118;e[90]=119;e[91]=120;e[92]=121;e[93]=122;e[94]=123;e[95]=124;e[96]=125;e[97]=126;e[98]=196;e[99]=197;e[100]=199;e[101]=201;e[102]=209;e[103]=214;e[104]=220;e[105]=225;e[106]=224;e[107]=226;e[108]=228;e[109]=227;e[110]=229;e[111]=231;e[112]=233;e[113]=232;e[114]=234;e[115]=235;e[116]=237;e[117]=236;e[118]=238;e[119]=239;e[120]=241;e[121]=243;e[122]=242;e[123]=244;e[124]=246;e[125]=245;e[126]=250;e[127]=249;e[128]=251;e[129]=252;e[130]=8224;e[131]=176;e[132]=162;e[133]=163;e[134]=167;e[135]=8226;e[136]=182;e[137]=223;e[138]=174;e[139]=169;e[140]=8482;e[141]=180;e[142]=168;e[143]=8800;e[144]=198;e[145]=216;e[146]=8734;e[147]=177;e[148]=8804;e[149]=8805;e[150]=165;e[151]=181;e[152]=8706;e[153]=8721;e[154]=8719;e[156]=8747;e[157]=170;e[158]=186;e[159]=8486;e[160]=230;e[161]=248;e[162]=191;e[163]=161;e[164]=172;e[165]=8730;e[166]=402;e[167]=8776;e[168]=8710;e[169]=171;e[170]=187;e[171]=8230;e[179]=8220;e[180]=8221;e[181]=8216;e[182]=8217;e[200]=193;e[203]=205;e[207]=211;e[210]=218;e[223]=711;e[224]=321;e[225]=322;e[226]=352;e[227]=353;e[228]=381;e[229]=382;e[233]=221;e[234]=253;e[252]=263;e[253]=268;e[254]=269;e[258]=258;e[260]=260;e[261]=261;e[265]=280;e[266]=281;e[267]=282;e[268]=283;e[269]=313;e[275]=323;e[276]=324;e[278]=328;e[283]=344;e[284]=345;e[285]=346;e[286]=347;e[292]=367;e[295]=377;e[296]=378;e[298]=380;e[305]=963;e[306]=964;e[307]=966;e[308]=8215;e[309]=8252;e[310]=8319;e[311]=8359;e[312]=8592;e[313]=8593;e[337]=9552;e[493]=1039;e[494]=1040;e[570]=1040;e[571]=1041;e[572]=1042;e[573]=1043;e[574]=1044;e[575]=1045;e[576]=1046;e[577]=1047;e[578]=1048;e[579]=1049;e[580]=1050;e[581]=1051;e[582]=1052;e[583]=1053;e[584]=1054;e[585]=1055;e[586]=1056;e[587]=1057;e[588]=1058;e[589]=1059;e[590]=1060;e[591]=1061;e[592]=1062;e[593]=1063;e[594]=1064;e[595]=1065;e[596]=1066;e[597]=1067;e[598]=1068;e[599]=1069;e[600]=1070;e[672]=1488;e[673]=1489;e[674]=1490;e[675]=1491;e[676]=1492;e[677]=1493;e[678]=1494;e[679]=1495;e[680]=1496;e[681]=1497;e[682]=1498;e[683]=1499;e[684]=1500;e[685]=1501;e[686]=1502;e[687]=1503;e[688]=1504;e[689]=1505;e[690]=1506;e[691]=1507;e[692]=1508;e[693]=1509;e[694]=1510;e[695]=1511;e[696]=1512;e[697]=1513;e[698]=1514;e[705]=1524;e[706]=8362;e[710]=64288;e[711]=64298;e[759]=1617;e[761]=1776;e[763]=1778;e[775]=1652;e[777]=1764;e[778]=1780;e[779]=1781;e[780]=1782;e[782]=771;e[783]=64726;e[786]=8363;e[788]=8532;e[790]=768;e[791]=769;e[792]=768;e[795]=803;e[797]=64336;e[798]=64337;e[799]=64342;e[800]=64343;e[801]=64344;e[802]=64345;e[803]=64362;e[804]=64363;e[805]=64364;e[2424]=7821;e[2425]=7822;e[2426]=7823;e[2427]=7824;e[2428]=7825;e[2429]=7826;e[2430]=7827;e[2433]=7682;e[2678]=8045;e[2679]=8046;e[2830]=1552;e[2838]=686;e[2840]=751;e[2842]=753;e[2843]=754;e[2844]=755;e[2846]=757;e[2856]=767;e[2857]=848;e[2858]=849;e[2862]=853;e[2863]=854;e[2864]=855;e[2865]=861;e[2866]=862;e[2906]=7460;e[2908]=7462;e[2909]=7463;e[2910]=7464;e[2912]=7466;e[2913]=7467;e[2914]=7468;e[2916]=7470;e[2917]=7471;e[2918]=7472;e[2920]=7474;e[2921]=7475;e[2922]=7476;e[2924]=7478;e[2925]=7479;e[2926]=7480;e[2928]=7482;e[2929]=7483;e[2930]=7484;e[2932]=7486;e[2933]=7487;e[2934]=7488;e[2936]=7490;e[2937]=7491;e[2938]=7492;e[2940]=7494;e[2941]=7495;e[2942]=7496;e[2944]=7498;e[2946]=7500;e[2948]=7502;e[2950]=7504;e[2951]=7505;e[2952]=7506;e[2954]=7508;e[2955]=7509;e[2956]=7510;e[2958]=7512;e[2959]=7513;e[2960]=7514;e[2962]=7516;e[2963]=7517;e[2964]=7518;e[2966]=7520;e[2967]=7521;e[2968]=7522;e[2970]=7524;e[2971]=7525;e[2972]=7526;e[2974]=7528;e[2975]=7529;e[2976]=7530;e[2978]=1537;e[2979]=1538;e[2980]=1539;e[2982]=1549;e[2983]=1551;e[2984]=1552;e[2986]=1554;e[2987]=1555;e[2988]=1556;e[2990]=1623;e[2991]=1624;e[2995]=1775;e[2999]=1791;e[3002]=64290;e[3003]=64291;e[3004]=64292;e[3006]=64294;e[3007]=64295;e[3008]=64296;e[3011]=1900;e[3014]=8223;e[3015]=8244;e[3017]=7532;e[3018]=7533;e[3019]=7534;e[3075]=7590;e[3076]=7591;e[3079]=7594;e[3080]=7595;e[3083]=7598;e[3084]=7599;e[3087]=7602;e[3088]=7603;e[3091]=7606;e[3092]=7607;e[3095]=7610;e[3096]=7611;e[3099]=7614;e[3100]=7615;e[3103]=7618;e[3104]=7619;e[3107]=8337;e[3108]=8338;e[3116]=1884;e[3119]=1885;e[3120]=1885;e[3123]=1886;e[3124]=1886;e[3127]=1887;e[3128]=1887;e[3131]=1888;e[3132]=1888;e[3135]=1889;e[3136]=1889;e[3139]=1890;e[3140]=1890;e[3143]=1891;e[3144]=1891;e[3147]=1892;e[3148]=1892;e[3153]=580;e[3154]=581;e[3157]=584;e[3158]=585;e[3161]=588;e[3162]=589;e[3165]=891;e[3166]=892;e[3169]=1274;e[3170]=1275;e[3173]=1278;e[3174]=1279;e[3181]=7622;e[3182]=7623;e[3282]=11799;e[3316]=578;e[3379]=42785;e[3393]=1159;e[3416]=8377})),ai=getLookupTableFactory((function(e){e[227]=322;e[264]=261;e[291]=346})),ri=getLookupTableFactory((function(e){e[1]=32;e[4]=65;e[5]=192;e[6]=193;e[9]=196;e[17]=66;e[18]=67;e[21]=268;e[24]=68;e[28]=69;e[29]=200;e[30]=201;e[32]=282;e[38]=70;e[39]=71;e[44]=72;e[47]=73;e[48]=204;e[49]=205;e[58]=74;e[60]=75;e[62]=76;e[68]=77;e[69]=78;e[75]=79;e[76]=210;e[80]=214;e[87]=80;e[89]=81;e[90]=82;e[92]=344;e[94]=83;e[97]=352;e[100]=84;e[104]=85;e[109]=220;e[115]=86;e[116]=87;e[121]=88;e[122]=89;e[124]=221;e[127]=90;e[129]=381;e[258]=97;e[259]=224;e[260]=225;e[263]=228;e[268]=261;e[271]=98;e[272]=99;e[273]=263;e[275]=269;e[282]=100;e[286]=101;e[287]=232;e[288]=233;e[290]=283;e[295]=281;e[296]=102;e[336]=103;e[346]=104;e[349]=105;e[350]=236;e[351]=237;e[361]=106;e[364]=107;e[367]=108;e[371]=322;e[373]=109;e[374]=110;e[381]=111;e[382]=242;e[383]=243;e[386]=246;e[393]=112;e[395]=113;e[396]=114;e[398]=345;e[400]=115;e[401]=347;e[403]=353;e[410]=116;e[437]=117;e[442]=252;e[448]=118;e[449]=119;e[454]=120;e[455]=121;e[457]=253;e[460]=122;e[462]=382;e[463]=380;e[853]=44;e[855]=58;e[856]=46;e[876]=47;e[878]=45;e[882]=45;e[894]=40;e[895]=41;e[896]=91;e[897]=93;e[923]=64;e[940]=163;e[1004]=48;e[1005]=49;e[1006]=50;e[1007]=51;e[1008]=52;e[1009]=53;e[1010]=54;e[1011]=55;e[1012]=56;e[1013]=57;e[1081]=37;e[1085]=43;e[1086]=45}));function getStandardFontName(e){const t=normalizeFontName(e);return Jr()[t]}function isKnownFontName(e){const t=normalizeFontName(e);return!!(Jr()[t]||Zr()[t]||Qr()[t]||ei()[t])}class ToUnicodeMap{constructor(e=[]){this._map=e}get length(){return this._map.length}forEach(e){for(const t in this._map)e(t,this._map[t].codePointAt(0))}has(e){return void 0!==this._map[e]}get(e){return this._map[e]}charCodeOf(e){const t=this._map;if(t.length<=65536)return t.indexOf(e);for(const a in t)if(t[a]===e)return 0|a;return-1}amend(e){for(const t in e)this._map[t]=e[t]}}class IdentityToUnicodeMap{constructor(e,t){this.firstChar=e;this.lastChar=t}get length(){return this.lastChar+1-this.firstChar}forEach(e){for(let t=this.firstChar,a=this.lastChar;t<=a;t++)e(t,t)}has(e){return this.firstChar<=e&&e<=this.lastChar}get(e){if(this.firstChar<=e&&e<=this.lastChar)return String.fromCharCode(e)}charCodeOf(e){return Number.isInteger(e)&&e>=this.firstChar&&e<=this.lastChar?e:-1}amend(e){unreachable("Should not call amend()")}}class CFFFont{constructor(e,t){this.properties=t;const a=new CFFParser(e,t,Rr);this.cff=a.parse();this.cff.duplicateFirstGlyph();const r=new CFFCompiler(this.cff);this.seacs=this.cff.seacs;try{this.data=r.compile()}catch{warn("Failed to compile font "+t.loadedName);this.data=e}this._createBuiltInEncoding()}get numGlyphs(){return this.cff.charStrings.count}getCharset(){return this.cff.charset.charset}getGlyphMapping(){const e=this.cff,t=this.properties,{cidToGidMap:a,cMap:r}=t,i=e.charset.charset;let n,s;if(t.composite){let t,o;if(a?.length>0){t=Object.create(null);for(let e=0,r=a.length;e<r;e++){const r=a[e];void 0!==r&&(t[r]=e)}}n=Object.create(null);if(e.isCIDFont)for(s=0;s<i.length;s++){const e=i[s];o=r.charCodeOf(e);void 0!==t?.[o]&&(o=t[o]);n[o]=s}else for(s=0;s<e.charStrings.count;s++){o=r.charCodeOf(s);n[o]=s}return n}let o=e.encoding?e.encoding.encoding:null;t.isInternalFont&&(o=t.defaultEncoding);n=type1FontGlyphMapping(t,o,i);return n}hasGlyphId(e){return this.cff.hasGlyphId(e)}_createBuiltInEncoding(){const{charset:e,encoding:t}=this.cff;if(!e||!t)return;const a=e.charset,r=t.encoding,i=[];for(const e in r){const t=r[e];if(t>=0){const r=a[t];r&&(i[e]=r)}}i.length>0&&(this.properties.builtInEncoding=i)}}function getFloat214(e,t){return readInt16(e,t)/16384}function getSubroutineBias(e){const t=e.length;let a=32768;t<1240?a=107:t<33900&&(a=1131);return a}function parseCmap(e,t,a){const r=1===readUint16(e,t+2)?readUint32(e,t+8):readUint32(e,t+16),i=readUint16(e,t+r);let n,s,o;if(4===i){readUint16(e,t+r+2);const a=readUint16(e,t+r+6)>>1;s=t+r+14;n=[];for(o=0;o<a;o++,s+=2)n[o]={end:readUint16(e,s)};s+=2;for(o=0;o<a;o++,s+=2)n[o].start=readUint16(e,s);for(o=0;o<a;o++,s+=2)n[o].idDelta=readUint16(e,s);for(o=0;o<a;o++,s+=2){let t=readUint16(e,s);if(0!==t){n[o].ids=[];for(let a=0,r=n[o].end-n[o].start+1;a<r;a++){n[o].ids[a]=readUint16(e,s+t);t+=2}}}return n}if(12===i){const a=readUint32(e,t+r+12);s=t+r+16;n=[];for(o=0;o<a;o++){t=readUint32(e,s);n.push({start:t,end:readUint32(e,s+4),idDelta:readUint32(e,s+8)-t});s+=12}return n}throw new FormatError(`unsupported cmap: ${i}`)}function parseCff(e,t,a,r){const i=new CFFParser(new Stream(e,t,a-t),{},r).parse();return{glyphs:i.charStrings.objects,subrs:i.topDict.privateDict?.subrsIndex?.objects,gsubrs:i.globalSubrIndex?.objects,isCFFCIDFont:i.isCIDFont,fdSelect:i.fdSelect,fdArray:i.fdArray}}function lookupCmap(e,t){const a=t.codePointAt(0);let r=0,i=0,n=e.length-1;for(;i<n;){const t=i+n+1>>1;a<e[t].start?n=t-1:i=t}e[i].start<=a&&a<=e[i].end&&(r=e[i].idDelta+(e[i].ids?e[i].ids[a-e[i].start]:a)&65535);return{charCode:a,glyphId:r}}function compileGlyf(e,t,a){function moveTo(e,a){s&&t.add("L",s);s=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L",[e,a])}function quadraticCurveTo(e,a,r,i){t.add("Q",[e,a,r,i])}let r=0;const i=readInt16(e,r);let n,s=null,o=0,c=0;r+=10;if(i<0)do{n=readUint16(e,r);const i=readUint16(e,r+2);r+=4;let s,l;if(1&n){if(2&n){s=readInt16(e,r);l=readInt16(e,r+2)}else{s=readUint16(e,r);l=readUint16(e,r+2)}r+=4}else if(2&n){s=readInt8(e,r++);l=readInt8(e,r++)}else{s=e[r++];l=e[r++]}if(2&n){o=s;c=l}else{o=0;c=0}let h=1,u=1,d=0,f=0;if(8&n){h=u=getFloat214(e,r);r+=2}else if(64&n){h=getFloat214(e,r);u=getFloat214(e,r+2);r+=4}else if(128&n){h=getFloat214(e,r);d=getFloat214(e,r+2);f=getFloat214(e,r+4);u=getFloat214(e,r+6);r+=8}const g=a.glyphs[i];if(g){t.save();t.transform([h,d,f,u,o,c]);compileGlyf(g,t,a);t.restore()}}while(32&n);else{const t=[];let a,s;for(a=0;a<i;a++){t.push(readUint16(e,r));r+=2}r+=2+readUint16(e,r);const l=t.at(-1)+1,h=[];for(;h.length<l;){n=e[r++];let t=1;8&n&&(t+=e[r++]);for(;t-- >0;)h.push({flags:n})}for(a=0;a<l;a++){switch(18&h[a].flags){case 0:o+=readInt16(e,r);r+=2;break;case 2:o-=e[r++];break;case 18:o+=e[r++]}h[a].x=o}for(a=0;a<l;a++){switch(36&h[a].flags){case 0:c+=readInt16(e,r);r+=2;break;case 4:c-=e[r++];break;case 36:c+=e[r++]}h[a].y=c}let u=0;for(r=0;r<i;r++){const e=t[r],i=h.slice(u,e+1);if(1&i[0].flags)i.push(i[0]);else if(1&i.at(-1).flags)i.unshift(i.at(-1));else{const e={flags:1,x:(i[0].x+i.at(-1).x)/2,y:(i[0].y+i.at(-1).y)/2};i.unshift(e);i.push(e)}moveTo(i[0].x,i[0].y);for(a=1,s=i.length;a<s;a++)if(1&i[a].flags)lineTo(i[a].x,i[a].y);else if(1&i[a+1].flags){quadraticCurveTo(i[a].x,i[a].y,i[a+1].x,i[a+1].y);a++}else quadraticCurveTo(i[a].x,i[a].y,(i[a].x+i[a+1].x)/2,(i[a].y+i[a+1].y)/2);u=e+1}}}function compileCharString(e,t,a,r){function moveTo(e,a){c&&t.add("L",c);c=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L",[e,a])}function bezierCurveTo(e,a,r,i,n,s){t.add("C",[e,a,r,i,n,s])}const i=[];let n=0,s=0,o=0,c=null;!function parse(e){let c=0;for(;c<e.length;){let l,h,u,d,f,g,p,m,b,y=!1,w=e[c++];switch(w){case 1:case 3:case 18:case 23:o+=i.length>>1;y=!0;break;case 4:s+=i.pop();moveTo(n,s);y=!0;break;case 5:for(;i.length>0;){n+=i.shift();s+=i.shift();lineTo(n,s)}break;case 6:for(;i.length>0;){n+=i.shift();lineTo(n,s);if(0===i.length)break;s+=i.shift();lineTo(n,s)}break;case 7:for(;i.length>0;){s+=i.shift();lineTo(n,s);if(0===i.length)break;n+=i.shift();lineTo(n,s)}break;case 8:for(;i.length>0;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 10:m=i.pop();b=null;if(a.isCFFCIDFont){const e=a.fdSelect.getFDIndex(r);if(e>=0&&e<a.fdArray.length){const t=a.fdArray[e];let r;t.privateDict?.subrsIndex&&(r=t.privateDict.subrsIndex.objects);if(r){m+=getSubroutineBias(r);b=r[m]}}else warn("Invalid fd index for glyph index.")}else b=a.subrs[m+a.subrsBias];b&&parse(b);break;case 11:return;case 12:w=e[c++];switch(w){case 34:l=n+i.shift();h=l+i.shift();f=s+i.shift();n=h+i.shift();bezierCurveTo(l,s,h,f,n,f);l=n+i.shift();h=l+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,s,n,s);break;case 35:l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);i.pop();break;case 36:l=n+i.shift();f=s+i.shift();h=l+i.shift();g=f+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,g,n,g);l=n+i.shift();h=l+i.shift();p=g+i.shift();n=h+i.shift();bezierCurveTo(l,g,h,p,n,s);break;case 37:const e=n,t=s;l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d;Math.abs(n-e)>Math.abs(s-t)?n+=i.shift():s+=i.shift();bezierCurveTo(l,u,h,d,n,s);break;default:throw new FormatError(`unknown operator: 12 ${w}`)}break;case 14:if(i.length>=4){const e=i.pop(),r=i.pop();s=i.pop();n=i.pop();t.save();t.translate(n,s);let o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[e]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId);t.restore();o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[r]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId)}return;case 19:case 20:o+=i.length>>1;c+=o+7>>3;y=!0;break;case 21:s+=i.pop();n+=i.pop();moveTo(n,s);y=!0;break;case 22:n+=i.pop();moveTo(n,s);y=!0;break;case 24:for(;i.length>2;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}n+=i.shift();s+=i.shift();lineTo(n,s);break;case 25:for(;i.length>6;){n+=i.shift();s+=i.shift();lineTo(n,s)}l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);break;case 26:i.length%2&&(n+=i.shift());for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 27:i.length%2&&(s+=i.shift());for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d;bezierCurveTo(l,u,h,d,n,s)}break;case 28:i.push(readInt16(e,c));c+=2;break;case 29:m=i.pop()+a.gsubrsBias;b=a.gsubrs[m];b&&parse(b);break;case 30:for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;case 31:for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;default:if(w<32)throw new FormatError(`unknown operator: ${w}`);if(w<247)i.push(w-139);else if(w<251)i.push(256*(w-247)+e[c++]+108);else if(w<255)i.push(256*-(w-251)-e[c++]-108);else{i.push((e[c]<<24|e[c+1]<<16|e[c+2]<<8|e[c+3])/65536);c+=4}}y&&(i.length=0)}}(e)}class Commands{cmds=[];transformStack=[];currentTransform=[1,0,0,1,0,0];add(e,t){if(t){const{currentTransform:a}=this;for(let e=0,r=t.length;e<r;e+=2)Util.applyTransform(t,a,e);this.cmds.push(`${e}${t.join(" ")}`)}else this.cmds.push(e)}transform(e){this.currentTransform=Util.transform(this.currentTransform,e)}translate(e,t){this.transform([1,0,0,1,e,t])}save(){this.transformStack.push(this.currentTransform.slice())}restore(){this.currentTransform=this.transformStack.pop()||[1,0,0,1,0,0]}getSVG(){return this.cmds.join("")}}class CompiledFont{constructor(e){this.fontMatrix=e;this.compiledGlyphs=Object.create(null);this.compiledCharCodeToGlyphId=Object.create(null)}getPathJs(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);let r,i=this.compiledGlyphs[a];if(void 0===i){try{i=this.compileGlyph(this.glyphs[a],a)}catch(e){i="";r=e}this.compiledGlyphs[a]=i}this.compiledCharCodeToGlyphId[t]??=a;if(r)throw r;return i}compileGlyph(e,a){if(!e?.length||14===e[0])return"";let r=this.fontMatrix;if(this.isCFFCIDFont){const e=this.fdSelect.getFDIndex(a);if(e>=0&&e<this.fdArray.length){r=this.fdArray[e].getByName("FontMatrix")||t}else warn("Invalid fd index for glyph index.")}assert(isNumberArray(r,6),"Expected a valid fontMatrix.");const i=new Commands;i.transform(r.slice());this.compileGlyphImpl(e,i,a);i.add("Z");return i.getSVG()}compileGlyphImpl(){unreachable("Children classes should implement this.")}hasBuiltPath(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);return void 0!==this.compiledGlyphs[a]&&void 0!==this.compiledCharCodeToGlyphId[t]}}class TrueTypeCompiled extends CompiledFont{constructor(e,t,a){super(a||[488e-6,0,0,488e-6,0,0]);this.glyphs=e;this.cmap=t}compileGlyphImpl(e,t){compileGlyf(e,t,this)}}class Type2Compiled extends CompiledFont{constructor(e,t,a){super(a||[.001,0,0,.001,0,0]);this.glyphs=e.glyphs;this.gsubrs=e.gsubrs||[];this.subrs=e.subrs||[];this.cmap=t;this.glyphNameMap=Fr();this.gsubrsBias=getSubroutineBias(this.gsubrs);this.subrsBias=getSubroutineBias(this.subrs);this.isCFFCIDFont=e.isCFFCIDFont;this.fdSelect=e.fdSelect;this.fdArray=e.fdArray}compileGlyphImpl(e,t,a){compileCharString(e,t,this,a)}}class FontRendererFactory{static create(e,t){const a=new Uint8Array(e.data);let r,i,n,s,o,c;const l=readUint16(a,4);for(let e=0,h=12;e<l;e++,h+=16){const e=bytesToString(a.subarray(h,h+4)),l=readUint32(a,h+8),u=readUint32(a,h+12);switch(e){case"cmap":r=parseCmap(a,l);break;case"glyf":i=a.subarray(l,l+u);break;case"loca":n=a.subarray(l,l+u);break;case"head":c=readUint16(a,l+18);o=readUint16(a,l+50);break;case"CFF ":s=parseCff(a,l,l+u,t)}}if(i){const t=c?[1/c,0,0,1/c,0,0]:e.fontMatrix;return new TrueTypeCompiled(function parseGlyfTable(e,t,a){let r,i;if(a){r=4;i=readUint32}else{r=2;i=(e,t)=>2*readUint16(e,t)}const n=[];let s=i(t,0);for(let a=r;a<t.length;a+=r){const r=i(t,a);n.push(e.subarray(s,r));s=r}return n}(i,n,o),r,t)}return new Type2Compiled(s,r,e.fontMatrix)}}const 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otlessi=278;e.lslash=278;e.oslash=500;e.oe=667;e.germandbls=500;e.Idieresis=333;e.eacute=444;e.abreve=500;e.uhungarumlaut=500;e.ecaron=444;e.Ydieresis=556;e.divide=675;e.Yacute=556;e.Acircumflex=611;e.aacute=500;e.Ucircumflex=722;e.yacute=444;e.scommaaccent=389;e.ecircumflex=444;e.Uring=722;e.Udieresis=722;e.aogonek=500;e.Uacute=722;e.uogonek=500;e.Edieresis=611;e.Dcroat=722;e.commaaccent=250;e.copyright=760;e.Emacron=611;e.ccaron=444;e.aring=500;e.Ncommaaccent=667;e.lacute=278;e.agrave=500;e.Tcommaaccent=556;e.Cacute=667;e.atilde=500;e.Edotaccent=611;e.scaron=389;e.scedilla=389;e.iacute=278;e.lozenge=471;e.Rcaron=611;e.Gcommaaccent=722;e.ucircumflex=500;e.acircumflex=500;e.Amacron=611;e.rcaron=389;e.ccedilla=444;e.Zdotaccent=556;e.Thorn=611;e.Omacron=722;e.Racute=611;e.Sacute=500;e.dcaron=544;e.Umacron=722;e.uring=500;e.threesuperior=300;e.Ograve=722;e.Agrave=611;e.Abreve=611;e.multiply=675;e.uacute=500;e.Tcaron=556;e.partialdiff=476;e.ydieresis=444;e.Nacute=667;e.icircumflex=278;e.Ecircumflex=611;e.adieresis=500;e.edieresis=444;e.cacute=444;e.nacute=500;e.umacron=500;e.Ncaron=667;e.Iacute=333;e.plusminus=675;e.brokenbar=275;e.registered=760;e.Gbreve=722;e.Idotaccent=333;e.summation=600;e.Egrave=611;e.racute=389;e.omacron=500;e.Zacute=556;e.Zcaron=556;e.greaterequal=549;e.Eth=722;e.Ccedilla=667;e.lcommaaccent=278;e.tcaron=300;e.eogonek=444;e.Uogonek=722;e.Aacute=611;e.Adieresis=611;e.egrave=444;e.zacute=389;e.iogonek=278;e.Oacute=722;e.oacute=500;e.amacron=500;e.sacute=389;e.idieresis=278;e.Ocircumflex=722;e.Ugrave=722;e.Delta=612;e.thorn=500;e.twosuperior=300;e.Odieresis=722;e.mu=500;e.igrave=278;e.ohungarumlaut=500;e.Eogonek=611;e.dcroat=500;e.threequarters=750;e.Scedilla=500;e.lcaron=300;e.Kcommaaccent=667;e.Lacute=556;e.trademark=980;e.edotaccent=444;e.Igrave=333;e.Imacron=333;e.Lcaron=611;e.onehalf=750;e.lessequal=549;e.ocircumflex=500;e.ntilde=500;e.Uhungarumlaut=722;e.Eacute=611;e.emacron=444;e.gbreve=500;e.onequarter=750;e.Scaron=500;e.Scommaaccent=500;e.Ohungarumlaut=722;e.degree=400;e.ograve=500;e.Ccaron=667;e.ugrave=500;e.radical=453;e.Dcaron=722;e.rcommaaccent=389;e.Ntilde=667;e.otilde=500;e.Rcommaaccent=611;e.Lcommaaccent=556;e.Atilde=611;e.Aogonek=611;e.Aring=611;e.Otilde=722;e.zdotaccent=389;e.Ecaron=611;e.Iogonek=333;e.kcommaaccent=444;e.minus=675;e.Icircumflex=333;e.ncaron=500;e.tcommaaccent=278;e.logicalnot=675;e.odieresis=500;e.udieresis=500;e.notequal=549;e.gcommaaccent=500;e.eth=500;e.zcaron=389;e.ncommaaccent=500;e.onesuperior=300;e.imacron=278;e.Euro=500}));e.ZapfDingbats=getLookupTableFactory((function(e){e.space=278;e.a1=974;e.a2=961;e.a202=974;e.a3=980;e.a4=719;e.a5=789;e.a119=790;e.a118=791;e.a117=690;e.a11=960;e.a12=939;e.a13=549;e.a14=855;e.a15=911;e.a16=933;e.a105=911;e.a17=945;e.a18=974;e.a19=755;e.a20=846;e.a21=762;e.a22=761;e.a23=571;e.a24=677;e.a25=763;e.a26=760;e.a27=759;e.a28=754;e.a6=494;e.a7=552;e.a8=537;e.a9=577;e.a10=692;e.a29=786;e.a30=788;e.a31=788;e.a32=790;e.a33=793;e.a34=794;e.a35=816;e.a36=823;e.a37=789;e.a38=841;e.a39=823;e.a40=833;e.a41=816;e.a42=831;e.a43=923;e.a44=744;e.a45=723;e.a46=749;e.a47=790;e.a48=792;e.a49=695;e.a50=776;e.a51=768;e.a52=792;e.a53=759;e.a54=707;e.a55=708;e.a56=682;e.a57=701;e.a58=826;e.a59=815;e.a60=789;e.a61=789;e.a62=707;e.a63=687;e.a64=696;e.a65=689;e.a66=786;e.a67=787;e.a68=713;e.a69=791;e.a70=785;e.a71=791;e.a72=873;e.a73=761;e.a74=762;e.a203=762;e.a75=759;e.a204=759;e.a76=892;e.a77=892;e.a78=788;e.a79=784;e.a81=438;e.a82=138;e.a83=277;e.a84=415;e.a97=392;e.a98=392;e.a99=668;e.a100=668;e.a89=390;e.a90=390;e.a93=317;e.a94=317;e.a91=276;e.a92=276;e.a205=509;e.a85=509;e.a206=410;e.a86=410;e.a87=234;e.a88=234;e.a95=334;e.a96=334;e.a101=732;e.a102=544;e.a103=544;e.a104=910;e.a106=667;e.a107=760;e.a108=760;e.a112=776;e.a111=595;e.a110=694;e.a109=626;e.a120=788;e.a121=788;e.a122=788;e.a123=788;e.a124=788;e.a125=788;e.a126=788;e.a127=788;e.a128=788;e.a129=788;e.a130=788;e.a131=788;e.a132=788;e.a133=788;e.a134=788;e.a135=788;e.a136=788;e.a137=788;e.a138=788;e.a139=788;e.a140=788;e.a141=788;e.a142=788;e.a143=788;e.a144=788;e.a145=788;e.a146=788;e.a147=788;e.a148=788;e.a149=788;e.a150=788;e.a151=788;e.a152=788;e.a153=788;e.a154=788;e.a155=788;e.a156=788;e.a157=788;e.a158=788;e.a159=788;e.a160=894;e.a161=838;e.a163=1016;e.a164=458;e.a196=748;e.a165=924;e.a192=748;e.a166=918;e.a167=927;e.a168=928;e.a169=928;e.a170=834;e.a171=873;e.a172=828;e.a173=924;e.a162=924;e.a174=917;e.a175=930;e.a176=931;e.a177=463;e.a178=883;e.a179=836;e.a193=836;e.a180=867;e.a199=867;e.a181=696;e.a200=696;e.a182=874;e.a201=874;e.a183=760;e.a184=946;e.a197=771;e.a185=865;e.a194=771;e.a198=888;e.a186=967;e.a195=888;e.a187=831;e.a188=873;e.a189=927;e.a190=970;e.a191=918}))})),ni=getLookupTableFactory((function(e){e.Courier={ascent:629,descent:-157,capHeight:562,xHeight:-426};e["Courier-Bold"]={ascent:629,descent:-157,capHeight:562,xHeight:439};e["Courier-Oblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e["Courier-BoldOblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e.Helvetica={ascent:718,descent:-207,capHeight:718,xHeight:523};e["Helvetica-Bold"]={ascent:718,descent:-207,capHeight:718,xHeight:532};e["Helvetica-Oblique"]={ascent:718,descent:-207,capHeight:718,xHeight:523};e["Helvetica-BoldOblique"]={ascent:718,descent:-207,capHeight:718,xHeight:532};e["Times-Roman"]={ascent:683,descent:-217,capHeight:662,xHeight:450};e["Times-Bold"]={ascent:683,descent:-217,capHeight:676,xHeight:461};e["Times-Italic"]={ascent:683,descent:-217,capHeight:653,xHeight:441};e["Times-BoldItalic"]={ascent:683,descent:-217,capHeight:669,xHeight:462};e.Symbol={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xHeight:Math.NaN};e.ZapfDingbats={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xHeight:Math.NaN}}));class GlyfTable{constructor({glyfTable:e,isGlyphLocationsLong:t,locaTable:a,numGlyphs:r}){this.glyphs=[];const i=new DataView(a.buffer,a.byteOffset,a.byteLength),n=new DataView(e.buffer,e.byteOffset,e.byteLength),s=t?4:2;let o=t?i.getUint32(0):2*i.getUint16(0),c=0;for(let e=0;e<r;e++){c+=s;const e=t?i.getUint32(c):2*i.getUint16(c);if(e===o){this.glyphs.push(new Glyph({}));continue}const a=Glyph.parse(o,n);this.glyphs.push(a);o=e}}getSize(){return Math.sumPrecise(this.glyphs.map((e=>e.getSize()+3&-4)))}write(){const e=this.getSize(),t=new DataView(new ArrayBuffer(e)),a=e>131070,r=a?4:2,i=new DataView(new ArrayBuffer((this.glyphs.length+1)*r));a?i.setUint32(0,0):i.setUint16(0,0);let n=0,s=0;for(const e of this.glyphs){n+=e.write(n,t);n=n+3&-4;s+=r;a?i.setUint32(s,n):i.setUint16(s,n>>1)}return{isLocationLong:a,loca:new Uint8Array(i.buffer),glyf:new Uint8Array(t.buffer)}}scale(e){for(let t=0,a=this.glyphs.length;t<a;t++)this.glyphs[t].scale(e[t])}}class Glyph{constructor({header:e=null,simple:t=null,composites:a=null}){this.header=e;this.simple=t;this.composites=a}static parse(e,t){const[a,r]=GlyphHeader.parse(e,t);e+=a;if(r.numberOfContours<0){const a=[];for(;;){const[r,i]=CompositeGlyph.parse(e,t);e+=r;a.push(i);if(!(32&i.flags))break}return new Glyph({header:r,composites:a})}const i=SimpleGlyph.parse(e,t,r.numberOfContours);return new Glyph({header:r,simple:i})}getSize(){if(!this.header)return 0;const e=this.simple?this.simple.getSize():Math.sumPrecise(this.composites.map((e=>e.getSize())));return this.header.getSize()+e}write(e,t){if(!this.header)return 0;const a=e;e+=this.header.write(e,t);if(this.simple)e+=this.simple.write(e,t);else for(const a of this.composites)e+=a.write(e,t);return e-a}scale(e){if(!this.header)return;const t=(this.header.xMin+this.header.xMax)/2;this.header.scale(t,e);if(this.simple)this.simple.scale(t,e);else for(const a of this.composites)a.scale(t,e)}}class GlyphHeader{constructor({numberOfContours:e,xMin:t,yMin:a,xMax:r,yMax:i}){this.numberOfContours=e;this.xMin=t;this.yMin=a;this.xMax=r;this.yMax=i}static parse(e,t){return[10,new GlyphHeader({numberOfContours:t.getInt16(e),xMin:t.getInt16(e+2),yMin:t.getInt16(e+4),xMax:t.getInt16(e+6),yMax:t.getInt16(e+8)})]}getSize(){return 10}write(e,t){t.setInt16(e,this.numberOfContours);t.setInt16(e+2,this.xMin);t.setInt16(e+4,this.yMin);t.setInt16(e+6,this.xMax);t.setInt16(e+8,this.yMax);return 10}scale(e,t){this.xMin=Math.round(e+(this.xMin-e)*t);this.xMax=Math.round(e+(this.xMax-e)*t)}}class Contour{constructor({flags:e,xCoordinates:t,yCoordinates:a}){this.xCoordinates=t;this.yCoordinates=a;this.flags=e}}class SimpleGlyph{constructor({contours:e,instructions:t}){this.contours=e;this.instructions=t}static parse(e,t,a){const r=[];for(let i=0;i<a;i++){const a=t.getUint16(e);e+=2;r.push(a)}const i=r[a-1]+1,n=t.getUint16(e);e+=2;const s=new Uint8Array(t).slice(e,e+n);e+=n;const o=[];for(let a=0;a<i;e++,a++){let r=t.getUint8(e);o.push(r);if(8&r){const i=t.getUint8(++e);r^=8;for(let e=0;e<i;e++)o.push(r);a+=i}}const c=[];let l=[],h=[],u=[];const d=[];let f=0,g=0;for(let a=0;a<i;a++){const i=o[a];if(2&i){const a=t.getUint8(e++);g+=16&i?a:-a;l.push(g)}else if(16&i)l.push(g);else{g+=t.getInt16(e);e+=2;l.push(g)}if(r[f]===a){f++;c.push(l);l=[]}}g=0;f=0;for(let a=0;a<i;a++){const i=o[a];if(4&i){const a=t.getUint8(e++);g+=32&i?a:-a;h.push(g)}else if(32&i)h.push(g);else{g+=t.getInt16(e);e+=2;h.push(g)}u.push(1&i|64&i);if(r[f]===a){l=c[f];f++;d.push(new Contour({flags:u,xCoordinates:l,yCoordinates:h}));h=[];u=[]}}return new SimpleGlyph({contours:d,instructions:s})}getSize(){let e=2*this.contours.length+2+this.instructions.length,t=0,a=0;for(const r of this.contours){e+=r.flags.length;for(let i=0,n=r.xCoordinates.length;i<n;i++){const n=r.xCoordinates[i],s=r.yCoordinates[i];let o=Math.abs(n-t);o>255?e+=2:o>0&&(e+=1);t=n;o=Math.abs(s-a);o>255?e+=2:o>0&&(e+=1);a=s}}return e}write(e,t){const a=e,r=[],i=[],n=[];let s=0,o=0;for(const a of this.contours){for(let e=0,t=a.xCoordinates.length;e<t;e++){let t=a.flags[e];const c=a.xCoordinates[e];let l=c-s;if(0===l){t|=16;r.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?18:2;r.push(e)}else r.push(l)}s=c;const h=a.yCoordinates[e];l=h-o;if(0===l){t|=32;i.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?36:4;i.push(e)}else i.push(l)}o=h;n.push(t)}t.setUint16(e,r.length-1);e+=2}t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}for(const a of n)t.setUint8(e++,a);for(let a=0,i=r.length;a<i;a++){const i=r[a],s=n[a];if(2&s)t.setUint8(e++,i);else if(!(16&s)){t.setInt16(e,i);e+=2}}for(let a=0,r=i.length;a<r;a++){const r=i[a],s=n[a];if(4&s)t.setUint8(e++,r);else if(!(32&s)){t.setInt16(e,r);e+=2}}return e-a}scale(e,t){for(const a of this.contours)if(0!==a.xCoordinates.length)for(let r=0,i=a.xCoordinates.length;r<i;r++)a.xCoordinates[r]=Math.round(e+(a.xCoordinates[r]-e)*t)}}class CompositeGlyph{constructor({flags:e,glyphIndex:t,argument1:a,argument2:r,transf:i,instructions:n}){this.flags=e;this.glyphIndex=t;this.argument1=a;this.argument2=r;this.transf=i;this.instructions=n}static parse(e,t){const a=e,r=[];let i=t.getUint16(e);const n=t.getUint16(e+2);e+=4;let s,o;if(1&i){if(2&i){s=t.getInt16(e);o=t.getInt16(e+2)}else{s=t.getUint16(e);o=t.getUint16(e+2)}e+=4;i^=1}else{if(2&i){s=t.getInt8(e);o=t.getInt8(e+1)}else{s=t.getUint8(e);o=t.getUint8(e+1)}e+=2}if(8&i){r.push(t.getUint16(e));e+=2}else if(64&i){r.push(t.getUint16(e),t.getUint16(e+2));e+=4}else if(128&i){r.push(t.getUint16(e),t.getUint16(e+2),t.getUint16(e+4),t.getUint16(e+6));e+=8}let c=null;if(256&i){const a=t.getUint16(e);e+=2;c=new Uint8Array(t).slice(e,e+a);e+=a}return[e-a,new CompositeGlyph({flags:i,glyphIndex:n,argument1:s,argument2:o,transf:r,instructions:c})]}getSize(){let e=4+2*this.transf.length;256&this.flags&&(e+=2+this.instructions.length);e+=2;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(e+=2):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(e+=2);return e}write(e,t){const a=e;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(this.flags|=1):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(this.flags|=1);t.setUint16(e,this.flags);t.setUint16(e+2,this.glyphIndex);e+=4;if(1&this.flags){if(2&this.flags){t.setInt16(e,this.argument1);t.setInt16(e+2,this.argument2)}else{t.setUint16(e,this.argument1);t.setUint16(e+2,this.argument2)}e+=4}else{t.setUint8(e,this.argument1);t.setUint8(e+1,this.argument2);e+=2}if(256&this.flags){t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}}return e-a}scale(e,t){}}function writeInt16(e,t,a){e[t]=a>>8&255;e[t+1]=255&a}function writeInt32(e,t,a){e[t]=a>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}function writeData(e,t,a){if(a instanceof Uint8Array)e.set(a,t);else if("string"==typeof a)for(let r=0,i=a.length;r<i;r++)e[t++]=255&a.charCodeAt(r);else for(const r of a)e[t++]=255&r}class OpenTypeFileBuilder{constructor(e){this.sfnt=e;this.tables=Object.create(null)}static getSearchParams(e,t){let a=1,r=0;for(;(a^e)>a;){a<<=1;r++}const i=a*t;return{range:i,entry:r,rangeShift:t*e-i}}toArray(){let e=this.sfnt;const t=this.tables,a=Object.keys(t);a.sort();const r=a.length;let i,n,s,o,c,l=12+16*r;const h=[l];for(i=0;i<r;i++){o=t[a[i]];l+=(o.length+3&-4)>>>0;h.push(l)}const u=new Uint8Array(l);for(i=0;i<r;i++){o=t[a[i]];writeData(u,h[i],o)}"true"===e&&(e=string32(65536));u[0]=255&e.charCodeAt(0);u[1]=255&e.charCodeAt(1);u[2]=255&e.charCodeAt(2);u[3]=255&e.charCodeAt(3);writeInt16(u,4,r);const d=OpenTypeFileBuilder.getSearchParams(r,16);writeInt16(u,6,d.range);writeInt16(u,8,d.entry);writeInt16(u,10,d.rangeShift);l=12;for(i=0;i<r;i++){c=a[i];u[l]=255&c.charCodeAt(0);u[l+1]=255&c.charCodeAt(1);u[l+2]=255&c.charCodeAt(2);u[l+3]=255&c.charCodeAt(3);let e=0;for(n=h[i],s=h[i+1];n<s;n+=4){e=e+readUint32(u,n)>>>0}writeInt32(u,l+4,e);writeInt32(u,l+8,h[i]);writeInt32(u,l+12,t[c].length);l+=16}return u}addTable(e,t){if(e in this.tables)throw new Error("Table "+e+" already exists");this.tables[e]=t}}const si=[4],oi=[5],ci=[6],li=[7],hi=[8],ui=[12,35],di=[14],fi=[21],gi=[22],pi=[30],mi=[31];class Type1CharString{constructor(){this.width=0;this.lsb=0;this.flexing=!1;this.output=[];this.stack=[]}convert(e,t,a){const r=e.length;let i,n,s,o=!1;for(let c=0;c<r;c++){let r=e[c];if(r<32){12===r&&(r=(r<<8)+e[++c]);switch(r){case 1:case 3:case 9:case 3072:case 3073:case 3074:case 3105:this.stack=[];break;case 4:if(this.flexing){if(this.stack.length<1){o=!0;break}const e=this.stack.pop();this.stack.push(0,e);break}o=this.executeCommand(1,si);break;case 5:o=this.executeCommand(2,oi);break;case 6:o=this.executeCommand(1,ci);break;case 7:o=this.executeCommand(1,li);break;case 8:o=this.executeCommand(6,hi);break;case 10:if(this.stack.length<1){o=!0;break}s=this.stack.pop();if(!t[s]){o=!0;break}o=this.convert(t[s],t,a);break;case 11:return o;case 13:if(this.stack.length<2){o=!0;break}i=this.stack.pop();n=this.stack.pop();this.lsb=n;this.width=i;this.stack.push(i,n);o=this.executeCommand(2,gi);break;case 14:this.output.push(di[0]);break;case 21:if(this.flexing)break;o=this.executeCommand(2,fi);break;case 22:if(this.flexing){this.stack.push(0);break}o=this.executeCommand(1,gi);break;case 30:o=this.executeCommand(4,pi);break;case 31:o=this.executeCommand(4,mi);break;case 3078:if(a){const e=this.stack.at(-5);this.seac=this.stack.splice(-4,4);this.seac[0]+=this.lsb-e;o=this.executeCommand(0,di)}else o=this.executeCommand(4,di);break;case 3079:if(this.stack.length<4){o=!0;break}this.stack.pop();i=this.stack.pop();const e=this.stack.pop();n=this.stack.pop();this.lsb=n;this.width=i;this.stack.push(i,n,e);o=this.executeCommand(3,fi);break;case 3084:if(this.stack.length<2){o=!0;break}const c=this.stack.pop(),l=this.stack.pop();this.stack.push(l/c);break;case 3088:if(this.stack.length<2){o=!0;break}s=this.stack.pop();const h=this.stack.pop();if(0===s&&3===h){const e=this.stack.splice(-17,17);this.stack.push(e[2]+e[0],e[3]+e[1],e[4],e[5],e[6],e[7],e[8],e[9],e[10],e[11],e[12],e[13],e[14]);o=this.executeCommand(13,ui,!0);this.flexing=!1;this.stack.push(e[15],e[16])}else 1===s&&0===h&&(this.flexing=!0);break;case 3089:break;default:warn(\'Unknown type 1 charstring command of "\'+r+\'"\')}if(o)break}else{r<=246?r-=139:r=r<=250?256*(r-247)+e[++c]+108:r<=254?-256*(r-251)-e[++c]-108:(255&e[++c])<<24|(255&e[++c])<<16|(255&e[++c])<<8|255&e[++c];this.stack.push(r)}}return o}executeCommand(e,t,a){const r=this.stack.length;if(e>r)return!0;const i=r-e;for(let e=i;e<r;e++){let t=this.stack[e];if(Number.isInteger(t))this.output.push(28,t>>8&255,255&t);else{t=65536*t|0;this.output.push(255,t>>24&255,t>>16&255,t>>8&255,255&t)}}this.output.push(...t);a?this.stack.splice(i,e):this.stack.length=0;return!1}}function isHexDigit(e){return e>=48&&e<=57||e>=65&&e<=70||e>=97&&e<=102}function decrypt(e,t,a){if(a>=e.length)return new Uint8Array(0);let r,i,n=0|t;for(r=0;r<a;r++)n=52845*(e[r]+n)+22719&65535;const s=e.length-a,o=new Uint8Array(s);for(r=a,i=0;i<s;r++,i++){const t=e[r];o[i]=t^n>>8;n=52845*(t+n)+22719&65535}return o}function isSpecial(e){return 47===e||91===e||93===e||123===e||125===e||40===e||41===e}class Type1Parser{constructor(e,t,a){if(t){const t=e.getBytes(),a=!((isHexDigit(t[0])||isWhiteSpace(t[0]))&&isHexDigit(t[1])&&isHexDigit(t[2])&&isHexDigit(t[3])&&isHexDigit(t[4])&&isHexDigit(t[5])&&isHexDigit(t[6])&&isHexDigit(t[7]));e=new Stream(a?decrypt(t,55665,4):function decryptAscii(e,t,a){let r=0|t;const i=e.length,n=new Uint8Array(i>>>1);let s,o;for(s=0,o=0;s<i;s++){const t=e[s];if(!isHexDigit(t))continue;s++;let a;for(;s<i&&!isHexDigit(a=e[s]);)s++;if(s<i){const e=parseInt(String.fromCharCode(t,a),16);n[o++]=e^r>>8;r=52845*(e+r)+22719&65535}}return n.slice(a,o)}(t,55665,4))}this.seacAnalysisEnabled=!!a;this.stream=e;this.nextChar()}readNumberArray(){this.getToken();const e=[];for(;;){const t=this.getToken();if(null===t||"]"===t||"}"===t)break;e.push(parseFloat(t||0))}return e}readNumber(){const e=this.getToken();return parseFloat(e||0)}readInt(){const e=this.getToken();return 0|parseInt(e||0,10)}readBoolean(){return"true"===this.getToken()?1:0}nextChar(){return this.currentChar=this.stream.getByte()}prevChar(){this.stream.skip(-2);return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(-1===t)return null;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}if(isSpecial(t)){this.nextChar();return String.fromCharCode(t)}let a="";do{a+=String.fromCharCode(t);t=this.nextChar()}while(t>=0&&!isWhiteSpace(t)&&!isSpecial(t));return a}readCharStrings(e,t){return-1===t?e:decrypt(e,4330,t)}extractFontProgram(e){const t=this.stream,a=[],r=[],i=Object.create(null);i.lenIV=4;const n={subrs:[],charstrings:[],properties:{privateData:i}};let s,o,c,l;for(;null!==(s=this.getToken());)if("/"===s){s=this.getToken();switch(s){case"CharStrings":this.getToken();this.getToken();this.getToken();this.getToken();for(;;){s=this.getToken();if(null===s||"end"===s)break;if("/"!==s)continue;const e=this.getToken();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const a=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s?this.getToken():"/"===s&&this.prevChar();r.push({glyph:e,encoded:a})}break;case"Subrs":this.readInt();this.getToken();for(;"dup"===this.getToken();){const e=this.readInt();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const r=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s&&this.getToken();a[e]=r}break;case"BlueValues":case"OtherBlues":case"FamilyBlues":case"FamilyOtherBlues":const e=this.readNumberArray();e.length>0&&e.length,0;break;case"StemSnapH":case"StemSnapV":n.properties.privateData[s]=this.readNumberArray();break;case"StdHW":case"StdVW":n.properties.privateData[s]=this.readNumberArray()[0];break;case"BlueShift":case"lenIV":case"BlueFuzz":case"BlueScale":case"LanguageGroup":n.properties.privateData[s]=this.readNumber();break;case"ExpansionFactor":n.properties.privateData[s]=this.readNumber()||.06;break;case"ForceBold":n.properties.privateData[s]=this.readBoolean()}}for(const{encoded:t,glyph:i}of r){const r=new Type1CharString,s=r.convert(t,a,this.seacAnalysisEnabled);let o=r.output;s&&(o=[14]);const c={glyphName:i,charstring:o,width:r.width,lsb:r.lsb,seac:r.seac};".notdef"===i?n.charstrings.unshift(c):n.charstrings.push(c);if(e.builtInEncoding){const t=e.builtInEncoding.indexOf(i);t>-1&&void 0===e.widths[t]&&t>=e.firstChar&&t<=e.lastChar&&(e.widths[t]=r.width)}}return n}extractFontHeader(e){let t;for(;null!==(t=this.getToken());)if("/"===t){t=this.getToken();switch(t){case"FontMatrix":const a=this.readNumberArray();e.fontMatrix=a;break;case"Encoding":const r=this.getToken();let i;if(/^\\d+$/.test(r)){i=[];const e=0|parseInt(r,10);this.getToken();for(let a=0;a<e;a++){t=this.getToken();for(;"dup"!==t&&"def"!==t;){t=this.getToken();if(null===t)return}if("def"===t)break;const e=this.readInt();this.getToken();const a=this.getToken();i[e]=a;this.getToken()}}else i=getEncoding(r);e.builtInEncoding=i;break;case"FontBBox":const n=this.readNumberArray();e.ascent=Math.max(n[3],n[1]);e.descent=Math.min(n[1],n[3]);e.ascentScaled=!0}}}}function findBlock(e,t,a){const r=e.length,i=t.length,n=r-i;let s=a,o=!1;for(;s<n;){let a=0;for(;a<i&&e[s+a]===t[a];)a++;if(a>=i){s+=a;for(;s<r&&isWhiteSpace(e[s]);)s++;o=!0;break}s++}return{found:o,length:s}}class Type1Font{constructor(e,t,a){let r=a.length1,i=a.length2,n=t.peekBytes(6);const s=128===n[0]&&1===n[1];if(s){t.skip(6);r=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const o=function getHeaderBlock(e,t){const a=[101,101,120,101,99],r=e.pos;let i,n,s,o;try{i=e.getBytes(t);n=i.length}catch{}if(n===t){s=findBlock(i,a,t-2*a.length);if(s.found&&s.length===t)return{stream:new Stream(i),length:t}}warn(\'Invalid "Length1" property in Type1 font -- trying to recover.\');e.pos=r;for(;;){s=findBlock(e.peekBytes(2048),a,0);if(0===s.length)break;e.pos+=s.length;if(s.found){o=e.pos-r;break}}e.pos=r;if(o)return{stream:new Stream(e.getBytes(o)),length:o};warn(\'Unable to recover "Length1" property in Type1 font -- using as is.\');return{stream:new Stream(e.getBytes(t)),length:t}}(t,r);new Type1Parser(o.stream,!1,Rr).extractFontHeader(a);if(s){n=t.getBytes(6);i=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const c=function getEexecBlock(e,t){const a=e.getBytes();if(0===a.length)throw new FormatError("getEexecBlock - no font program found.");return{stream:new Stream(a),length:a.length}}(t),l=new Type1Parser(c.stream,!0,Rr).extractFontProgram(a);for(const e in l.properties)a[e]=l.properties[e];const h=l.charstrings,u=this.getType2Charstrings(h),d=this.getType2Subrs(l.subrs);this.charstrings=h;this.data=this.wrap(e,u,this.charstrings,d,a);this.seacs=this.getSeacs(l.charstrings)}get numGlyphs(){return this.charstrings.length+1}getCharset(){const e=[".notdef"];for(const{glyphName:t}of this.charstrings)e.push(t);return e}getGlyphMapping(e){const t=this.charstrings;if(e.composite){const a=Object.create(null);for(let r=0,i=t.length;r<i;r++){a[e.cMap.charCodeOf(r)]=r+1}return a}const a=[".notdef"];let r,i;for(i=0;i<t.length;i++)a.push(t[i].glyphName);const n=e.builtInEncoding;if(n){r=Object.create(null);for(const e in n){i=a.indexOf(n[e]);i>=0&&(r[e]=i)}}return type1FontGlyphMapping(e,r,a)}hasGlyphId(e){if(e<0||e>=this.numGlyphs)return!1;if(0===e)return!0;return this.charstrings[e-1].charstring.length>0}getSeacs(e){const t=[];for(let a=0,r=e.length;a<r;a++){const r=e[a];r.seac&&(t[a+1]=r.seac)}return t}getType2Charstrings(e){const t=[];for(const a of e)t.push(a.charstring);return t}getType2Subrs(e){let t=0;const a=e.length;t=a<1133?107:a<33769?1131:32768;const r=[];let i;for(i=0;i<t;i++)r.push([11]);for(i=0;i<a;i++)r.push(e[i]);return r}wrap(e,t,a,r,i){const n=new CFF;n.header=new CFFHeader(1,0,4,4);n.names=[e];const s=new CFFTopDict;s.setByName("version",391);s.setByName("Notice",392);s.setByName("FullName",393);s.setByName("FamilyName",394);s.setByName("Weight",395);s.setByName("Encoding",null);s.setByName("FontMatrix",i.fontMatrix);s.setByName("FontBBox",i.bbox);s.setByName("charset",null);s.setByName("CharStrings",null);s.setByName("Private",null);n.topDict=s;const o=new CFFStrings;o.add("Version 0.11");o.add("See original notice");o.add(e);o.add(e);o.add("Medium");n.strings=o;n.globalSubrIndex=new CFFIndex;const c=t.length,l=[".notdef"];let h,u;for(h=0;h<c;h++){const e=a[h].glyphName;-1===Hr.indexOf(e)&&o.add(e);l.push(e)}n.charset=new CFFCharset(!1,0,l);const d=new CFFIndex;d.add([139,14]);for(h=0;h<c;h++)d.add(t[h]);n.charStrings=d;const f=new CFFPrivateDict;f.setByName("Subrs",null);const g=["BlueValues","OtherBlues","FamilyBlues","FamilyOtherBlues","StemSnapH","StemSnapV","BlueShift","BlueFuzz","BlueScale","LanguageGroup","ExpansionFactor","ForceBold","StdHW","StdVW"];for(h=0,u=g.length;h<u;h++){const e=g[h];if(!(e in i.privateData))continue;const t=i.privateData[e];if(Array.isArray(t))for(let e=t.length-1;e>0;e--)t[e]-=t[e-1];f.setByName(e,t)}n.topDict.privateDict=f;const p=new CFFIndex;for(h=0,u=r.length;h<u;h++)p.add(r[h]);f.subrsIndex=p;return new CFFCompiler(n).compile()}}const bi=[[57344,63743],[1048576,1114109]],yi=1e3,wi=["ascent","bbox","black","bold","charProcOperatorList","cssFontInfo","data","defaultVMetrics","defaultWidth","descent","disableFontFace","fallbackName","fontExtraProperties","fontMatrix","isInvalidPDFjsFont","isType3Font","italic","loadedName","mimetype","missingFile","name","remeasure","systemFontInfo","vertical"],xi=["cMap","composite","defaultEncoding","differences","isMonospace","isSerifFont","isSymbolicFont","seacMap","subtype","toFontChar","toUnicode","type","vmetrics","widths"];function adjustWidths(e){if(!e.fontMatrix)return;if(e.fontMatrix[0]===t[0])return;const a=.001/e.fontMatrix[0],r=e.widths;for(const e in r)r[e]*=a;e.defaultWidth*=a}function amendFallbackToUnicode(e){if(!e.fallbackToUnicode)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const t=[];for(const a in e.fallbackToUnicode)e.toUnicode.has(a)||(t[a]=e.fallbackToUnicode[a]);t.length>0&&e.toUnicode.amend(t)}class fonts_Glyph{constructor(e,t,a,r,i,n,s,o,c){this.originalCharCode=e;this.fontChar=t;this.unicode=a;this.accent=r;this.width=i;this.vmetric=n;this.operatorListId=s;this.isSpace=o;this.isInFont=c}get category(){return shadow(this,"category",function getCharUnicodeCategory(e){const t=Dr.get(e);if(t)return t;const a=e.match(Mr),r={isWhitespace:!!a?.[1],isZeroWidthDiacritic:!!a?.[2],isInvisibleFormatMark:!!a?.[3]};Dr.set(e,r);return r}(this.unicode),!0)}}function int16(e,t){return(e<<8)+t}function writeSignedInt16(e,t,a){e[t+1]=a;e[t]=a>>>8}function signedInt16(e,t){const a=(e<<8)+t;return 32768&a?a-65536:a}function string16(e){return String.fromCharCode(e>>8&255,255&e)}function safeString16(e){e>32767?e=32767:e<-32768&&(e=-32768);return String.fromCharCode(e>>8&255,255&e)}function isTrueTypeCollectionFile(e){return"ttcf"===bytesToString(e.peekBytes(4))}function getFontFileType(e,{type:t,subtype:a,composite:r}){let i,n;if(function isTrueTypeFile(e){const t=e.peekBytes(4);return 65536===readUint32(t,0)||"true"===bytesToString(t)}(e)||isTrueTypeCollectionFile(e))i=r?"CIDFontType2":"TrueType";else if(function isOpenTypeFile(e){return"OTTO"===bytesToString(e.peekBytes(4))}(e))i=r?"CIDFontType2":"OpenType";else if(function isType1File(e){const t=e.peekBytes(2);return 37===t[0]&&33===t[1]||128===t[0]&&1===t[1]}(e))i=r?"CIDFontType0":"MMType1"===t?"MMType1":"Type1";else if(function isCFFFile(e){const t=e.peekBytes(4);return t[0]>=1&&t[3]>=1&&t[3]<=4}(e))if(r){i="CIDFontType0";n="CIDFontType0C"}else{i="MMType1"===t?"MMType1":"Type1";n="Type1C"}else{warn("getFontFileType: Unable to detect correct font file Type/Subtype.");i=t;n=a}return[i,n]}function applyStandardFontGlyphMap(e,t){for(const a in t)e[+a]=t[a]}function buildToFontChar(e,t,a){const r=[];let i;for(let a=0,n=e.length;a<n;a++){i=getUnicodeForGlyph(e[a],t);-1!==i&&(r[a]=i)}for(const e in a){i=getUnicodeForGlyph(a[e],t);-1!==i&&(r[+e]=i)}return r}function isMacNameRecord(e){return 1===e.platform&&0===e.encoding&&0===e.language}function isWinNameRecord(e){return 3===e.platform&&1===e.encoding&&1033===e.language}function convertCidString(e,t,a=!1){switch(t.length){case 1:return t.charCodeAt(0);case 2:return t.charCodeAt(0)<<8|t.charCodeAt(1)}const r=`Unsupported CID string (charCode ${e}): "${t}".`;if(a)throw new FormatError(r);warn(r);return t}function adjustMapping(e,t,a,r){const i=Object.create(null),n=new Map,s=[],o=new Set;let c=0;let l=bi[c][0],h=bi[c][1];let u=null;for(const f in e){let g=e[f];if(!t(g))continue;if(l>h){c++;if(c>=bi.length){warn("Ran out of space in font private use area.");break}l=bi[c][0];h=bi[c][1]}const p=l++;0===g&&(g=a);let m=r.get(f);if("string"==typeof m)if(1===m.length)m=m.codePointAt(0);else{if(!u){u=new Map;for(let e=64256;e<=64335;e++){const t=String.fromCharCode(e).normalize("NFKD");t.length>1&&u.set(t,e)}}m=u.get(m)||m.codePointAt(0)}if(m&&!(d=m,bi[0][0]<=d&&d<=bi[0][1]||bi[1][0]<=d&&d<=bi[1][1])&&!o.has(g)){n.set(m,g);o.add(g)}i[p]=g;s[f]=p}var d;return{toFontChar:s,charCodeToGlyphId:i,toUnicodeExtraMap:n,nextAvailableFontCharCode:l}}function createCmapTable(e,t,a){const r=function getRanges(e,t,a){const r=[];for(const t in e)e[t]>=a||r.push({fontCharCode:0|t,glyphId:e[t]});if(t)for(const[e,i]of t)i>=a||r.push({fontCharCode:e,glyphId:i});0===r.length&&r.push({fontCharCode:0,glyphId:0});r.sort(((e,t)=>e.fontCharCode-t.fontCharCode));const i=[],n=r.length;for(let e=0;e<n;){const t=r[e].fontCharCode,a=[r[e].glyphId];++e;let s=t;for(;e<n&&s+1===r[e].fontCharCode;){a.push(r[e].glyphId);++s;++e;if(65535===s)break}i.push([t,s,a])}return i}(e,t,a),i=r.at(-1)[1]>65535?2:1;let n,s,o,c,l="\\0\\0"+string16(i)+"\\0\\0
"+string32(4+8*i);for(n=r.length-1;n>=0&&!(r[n][0]<=65535);--n);const h=n+1;r[n][0]<65535&&65535===r[n][1]&&(r[n][1]=65534);const u=r[n][1]<65535?1:0,d=h+u,f=OpenTypeFileBuilder.getSearchParams(d,2);let g,p,m,b,y="",w="",x="",S="",k="",C=0;for(n=0,s=h;n<s;n++){g=r[n];p=g[0];m=g[1];y+=string16(p);w+=string16(m);b=g[2];let e=!0;for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){e=!1;break}if(e){x+=string16(b[0]-p&65535);S+=string16(0)}else{const e=2*(d-n)+2*C;C+=m-p+1;x+=string16(0);S+=string16(e);for(o=0,c=b.length;o<c;++o)k+=string16(b[o])}}if(u>0){w+="ÿÿ";y+="ÿÿ";x+="\\0
";S+="\\0\\0"}const v="\\0\\0"+string16(2*d)+string16(f.range)+string16(f.entry)+string16(f.rangeShift)+w+"\\0\\0"+y+x+S+k;let F="",T="";if(i>1){l+="\\0\\0\\n"+string32(4+8*i+4+v.length);F="";for(n=0,s=r.length;n<s;n++){g=r[n];p=g[0];b=g[2];let e=b[0];for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){m=g[0]+o-1;F+=string32(p)+string32(m)+string32(e);p=m+1;e=b[o]}F+=string32(p)+string32(g[1])+string32(e)}T="\\0\\f\\0\\0"+string32(F.length+16)+"\\0\\0\\0\\0"+string32(F.length/12)}return l+"\\0"+string16(v.length+4)+v+T+F}function createOS2Table(e,t,a){a||={unitsPerEm:0,yMax:0,yMin:0,ascent:0,descent:0};let r=0,i=0,n=0,s=0,o=null,c=0,l=-1;if(t){for(let e in t){e|=0;(o>e||!o)&&(o=e);c<e&&(c=e);l=getUnicodeRangeFor(e,l);if(l<32)r|=1<<l;else if(l<64)i|=1<<l-32;else if(l<96)n|=1<<l-64;else{if(!(l<123))throw new FormatError("Unicode ranges Bits > 123 are reserved for internal usage");s|=1<<l-96}}c>65535&&(c=65535)}else{o=0;c=255}const h=e.bbox||[0,0,0,0],u=a.unitsPerEm||(e.fontMatrix?1/Math.max(...e.fontMatrix.slice(0,4).map(Math.abs)):1e3),d=e.ascentScaled?1:u/yi,f=a.ascent||Math.round(d*(e.ascent||h[3]));let g=a.descent||Math.round(d*(e.descent||h[1]));g>0&&e.descent>0&&h[1]<0&&(g=-g);const p=a.yMax||f,m=-a.yMin||-g;return"\\0$
ô\\0\\0\\0Š»\\0\\0\\0ŒŠ»\\0\\0
ß\\x001
\\0\\0\\0\\0"+String.fromCharCode(e.fixedPitch?9:0)+"\\0\\0\\0\\0\\0\\0"+string32(r)+string32(i)+string32(n)+string32(s)+"*21*"+string16(e.italicAngle?1:0)+string16(o||e.firstChar)+string16(c||e.lastChar)+string16(f)+string16(g)+"\\0d"+string16(p)+string16(m)+"\\0\\0\\0\\0\\0\\0\\0\\0"+string16(e.xHeight)+string16(e.capHeight)+string16(0)+string16(o||e.firstChar)+"\\0"}function createPostTable(e){return"\\0\\0\\0"+string32(Math.floor(65536*e.italicAngle))+"\\0\\0\\0\\0"+string32(e.fixedPitch?1:0)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"}function createPostscriptName(e){return e.replaceAll(/[^\\x21-\\x7E]|[[\\](){}<>/%]/g,"").slice(0,63)}function createNameTable(e,t){t||(t=[[],[]]);const a=[t[0][0]||"Original licence",t[0][1]||e,t[0][2]||"Unknown",t[0][3]||"uniqueID",t[0][4]||e,t[0][5]||"Version 0.11",t[0][6]||createPostscriptName(e),t[0][7]||"Unknown",t[0][8]||"Unknown",t[0][9]||"Unknown"],r=[];let i,n,s,o,c;for(i=0,n=a.length;i<n;i++){c=t[1][i]||a[i];const e=[];for(s=0,o=c.length;s<o;s++)e.push(string16(c.charCodeAt(s)));r.push(e.join(""))}const l=[a,r],h=["\\0
","\\0"],u=["\\0\\0","\\0
"],d=["\\0\\0","\\t"],f=a.length*h.length;let g="\\0\\0"+string16(f)+string16(12*f+6),p=0;for(i=0,n=h.length;i<n;i++){const e=l[i];for(s=0,o=e.length;s<o;s++){c=e[s];g+=h[i]+u[i]+d[i]+string16(s)+string16(c.length)+string16(p);p+=c.length}}g+=a.join("")+r.join("");return g}class Font{constructor(e,t,a,r){this.name=e;this.psName=null;this.mimetype=null;this.disableFontFace=r.disableFontFace;this.fontExtraProperties=r.fontExtraProperties;this.loadedName=a.loadedName;this.isType3Font=a.isType3Font;this.missingFile=!1;this.cssFontInfo=a.cssFontInfo;this._charsCache=Object.create(null);this._glyphCache=Object.create(null);let i=!!(a.flags&Er);if(!i&&!a.isSimulatedFlags){const t=e.replaceAll(/[,_]/g,"-").split("-",1)[0],a=Qr();for(const e of t.split("+"))if(a[e]){i=!0;break}}this.isSerifFont=i;this.isSymbolicFont=!!(a.flags&Pr);this.isMonospace=!!(a.flags&Nr);let{type:n,subtype:s}=a;this.type=n;this.subtype=s;this.systemFontInfo=a.systemFontInfo;const o=e.match(/^InvalidPDFjsFont_(.*)_\\d+$/);this.isInvalidPDFjsFont=!!o;this.isInvalidPDFjsFont?this.fallbackName=o[1]:this.isMonospace?this.fallbackName="monospace":this.isSerifFont?this.fallbackName="serif":this.fallbackName="sans-serif";if(this.systemFontInfo?.guessFallback){this.systemFontInfo.guessFallback=!1;this.systemFontInfo.css+=`,${this.fallbackName}`}this.differences=a.differences;this.widths=a.widths;this.defaultWidth=a.defaultWidth;this.composite=a.composite;this.cMap=a.cMap;this.capHeight=a.capHeight/yi;this.ascent=a.ascent/yi;this.descent=a.descent/yi;this.lineHeight=this.ascent-this.descent;this.fontMatrix=a.fontMatrix;this.bbox=a.bbox;this.defaultEncoding=a.defaultEncoding;this.toUnicode=a.toUnicode;this.toFontChar=[];if("Type3"===a.type){for(let e=0;e<256;e++)this.toFontChar[e]=this.differences[e]||a.defaultEncoding[e];return}this.cidEncoding=a.cidEncoding||"";this.vertical=!!a.vertical;if(this.vertical){this.vmetrics=a.vmetrics;this.defaultVMetrics=a.defaultVMetrics}if(!t||t.isEmpty){t&&warn(\'Font file is empty in "\'+e+\'" (\'+this.loadedName+")");this.fallbackToSystemFont(a);return}[n,s]=getFontFileType(t,a);n===this.type&&s===this.subtype||info(`Inconsistent font file Type/SubType, expected: ${this.type}/${this.subtype} but found: ${n}/${s}.`);let c;try{switch(n){case"MMType1":info("MMType1 font ("+e+"), falling back to Type1.");case"Type1":case"CIDFontType0":this.mimetype="font/opentype";const r="Type1C"===s||"CIDFontType0C"===s?new CFFFont(t,a):new Type1Font(e,t,a);adjustWidths(a);c=this.convert(e,r,a);break;case"OpenType":case"TrueType":case"CIDFontType2":this.mimetype="font/opentype";c=this.checkAndRepair(e,t,a);adjustWidths(a);this.isOpenType&&(n="OpenType");break;default:throw new FormatError(`Font ${n} is not supported`)}}catch(e){warn(e);this.fallbackToSystemFont(a);return}amendFallbackToUnicode(a);this.data=c;this.type=n;this.subtype=s;this.fontMatrix=a.fontMatrix;this.widths=a.widths;this.defaultWidth=a.defaultWidth;this.toUnicode=a.toUnicode;this.seacMap=a.seacMap}get renderer(){return shadow(this,"renderer",FontRendererFactory.create(this,Rr))}exportData(){const e=this.fontExtraProperties?[...wi,...xi]:wi,t=Object.create(null);for(const a of e){const e=this[a];void 0!==e&&(t[a]=e)}return t}fallbackToSystemFont(e){this.missingFile=!0;const{name:t,type:a}=this;let r=normalizeFontName(t);const i=Jr(),n=Zr(),s=!!i[r],o=!(!n[r]||!i[n[r]]);r=i[r]||n[r]||r;const c=ni()[r];if(c){isNaN(this.ascent)&&(this.ascent=c.ascent/yi);isNaN(this.descent)&&(this.descent=c.descent/yi);isNaN(this.capHeight)&&(this.capHeight=c.capHeight/yi)}this.bold=/bold/gi.test(r);this.italic=/oblique|italic/gi.test(r);this.black=/Black/g.test(t);const l=/Narrow/g.test(t);this.remeasure=(!s||l)&&Object.keys(this.widths).length>0;if((s||o)&&"CIDFontType2"===a&&this.cidEncoding.startsWith("Identity-")){const a=e.cidToGidMap,r=[];applyStandardFontGlyphMap(r,ti());/Arial-?Black/i.test(t)?applyStandardFontGlyphMap(r,ai()):/Calibri/i.test(t)&&applyStandardFontGlyphMap(r,ri());if(a){for(const e in r){const t=r[e];void 0!==a[t]&&(r[+e]=a[t])}a.length!==this.toUnicode.length&&e.hasIncludedToUnicodeMap&&this.toUnicode instanceof IdentityToUnicodeMap&&this.toUnicode.forEach((function(e,t){const i=r[e];void 0===a[i]&&(r[+e]=t)}))}this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(e,t){r[+e]=t}));this.toFontChar=r;this.toUnicode=new ToUnicodeMap(r)}else if(/Symbol/i.test(r))this.toFontChar=buildToFontChar(Cr,Fr(),this.differences);else if(/Dingbats/i.test(r))this.toFontChar=buildToFontChar(vr,Ir(),this.differences);else if(s||o){const e=buildToFontChar(this.defaultEncoding,Fr(),this.differences);"CIDFontType2"!==a||this.cidEncoding.startsWith("Identity-")||this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(t,a){e[+t]=a}));this.toFontChar=e}else{const e=Fr(),a=[];this.toUnicode.forEach(((t,r)=>{if(!this.composite){const a=getUnicodeForGlyph(this.differences[t]||this.defaultEncoding[t],e);-1!==a&&(r=a)}a[+t]=r}));this.composite&&this.toUnicode instanceof IdentityToUnicodeMap&&/Tahoma|Verdana/i.test(t)&&applyStandardFontGlyphMap(a,ti());this.toFontChar=a}amendFallbackToUnicode(e);this.loadedName=r.split("-",1)[0]}checkAndRepair(e,t,a){const r=["OS/2","cmap","head","hhea","hmtx","maxp","name","post","loca","glyf","fpgm","prep","cvt ","CFF "];function readTables(e,t){const a=Object.create(null);a["OS/2"]=null;a.cmap=null;a.head=null;a.hhea=null;a.hmtx=null;a.maxp=null;a.name=null;a.post=null;for(let i=0;i<t;i++){const t=readTableEntry(e);r.includes(t.tag)&&(0!==t.length&&(a[t.tag]=t))}return a}function readTableEntry(e){const t=e.getString(4),a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0,n=e.pos;e.pos=e.start||0;e.skip(r);const s=e.getBytes(i);e.pos=n;if("head"===t){s[8]=s[9]=s[10]=s[11]=0;s[17]|=32}return{tag:t,checksum:a,length:i,offset:r,data:s}}function readOpenTypeHeader(e){return{version:e.getString(4),numTables:e.getUint16(),searchRange:e.getUint16(),entrySelector:e.getUint16(),rangeShift:e.getUint16()}}function sanitizeGlyph(e,t,a,r,i,n){const s={length:0,sizeOfInstructions:0};if(t<0||t>=e.length||a>e.length||a-t<=12)return s;const o=e.subarray(t,a),c=signedInt16(o[2],o[3]),l=signedInt16(o[4],o[5]),h=signedInt16(o[6],o[7]),u=signedInt16(o[8],o[9]);if(c>h){writeSignedInt16(o,2,h);writeSignedInt16(o,6,c)}if(l>u){writeSignedInt16(o,4,u);writeSignedInt16(o,8,l)}const d=signedInt16(o[0],o[1]);if(d<0){if(d<-1)return s;r.set(o,i);s.length=o.length;return s}let f,g=10,p=0;for(f=0;f<d;f++){p=(o[g]<<8|o[g+1])+1;g+=2}const m=g,b=o[g]<<8|o[g+1];s.sizeOfInstructions=b;g+=2+b;const y=g;let w=0;for(f=0;f<p;f++){const e=o[g++];192&e&&(o[g-1]=63&e);let t=2;2&e?t=1:16&e&&(t=0);let a=2;4&e?a=1:32&e&&(a=0);const r=t+a;w+=r;if(8&e){const e=o[g++];0===e&&(o[g-1]^=8);f+=e;w+=e*r}}if(0===w)return s;let x=g+w;if(x>o.length)return s;if(!n&&b>0){r.set(o.subarray(0,m),i);r.set([0,0],i+m);r.set(o.subarray(y,x),i+m+2);x-=b;o.length-x>3&&(x=x+3&-4);s.length=x;return s}if(o.length-x>3){x=x+3&-4;r.set(o.subarray(0,x),i);s.length=x;return s}r.set(o,i);s.length=o.length;return s}function readNameTable(e){const a=(t.start||0)+e.offset;t.pos=a;const r=[[],[]],i=[],n=e.length,s=a+n;if(0!==t.getUint16()||n<6)return[r,i];const o=t.getUint16(),c=t.getUint16();let l,h;for(l=0;l<o&&t.pos+12<=s;l++){const e={platform:t.getUint16(),encoding:t.getUint16(),language:t.getUint16(),name:t.getUint16(),length:t.getUint16(),offset:t.getUint16()};(isMacNameRecord(e)||isWinNameRecord(e))&&i.push(e)}for(l=0,h=i.length;l<h;l++){const e=i[l];if(e.length<=0)continue;const n=a+c+e.offset;if(n+e.length>s)continue;t.pos=n;const o=e.name;if(e.encoding){let a="";for(let r=0,i=e.length;r<i;r+=2)a+=String.fromCharCode(t.getUint16());r[1][o]=a}else r[0][o]=t.getString(e.length)}return[r,i]}const i=[0,0,0,0,0,0,0,0,-2,-2,-2,-2,0,0,-2,-5,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,-1,-1,1,-1,-999,0,1,0,-1,-2,0,-1,-2,-1,-1,0,-1,-1,0,0,-999,-999,-1,-1,-1,-1,-2,-999,-2,-2,-999,0,-2,-2,0,0,-2,0,-2,0,0,0,-2,-1,-1,1,1,0,0,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,0,-999,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,-2,-999,-999,-999,-999,-999,-1,-1,-2,-2,0,0,0,0,-1,-1,-999,-2,-2,0,0,-1,-2,-2,0,0,0,-1,-1,-1,-2];function sanitizeTTProgram(e,t){let a,r,n,s,o,c=e.data,l=0,h=0,u=0;const d=[],f=[],g=[];let p=t.tooComplexToFollowFunctions,m=!1,b=0,y=0;for(let e=c.length;l<e;){const e=c[l++];if(64===e){r=c[l++];if(m||y)l+=r;else for(a=0;a<r;a++)d.push(c[l++])}else if(65===e){r=c[l++];if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(n<<8|c[l++])}}else if(176==(248&e)){r=e-176+1;if(m||y)l+=r;else for(a=0;a<r;a++)d.push(c[l++])}else if(184==(248&e)){r=e-184+1;if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(signedInt16(n,c[l++]))}}else if(43!==e||p)if(44!==e||p){if(45===e)if(m){m=!1;h=l}else{o=f.pop();if(!o){warn("TT: ENDF bad stack");t.hintsValid=!1;return}s=g.pop();c=o.data;l=o.i;t.functionsStackDeltas[s]=d.length-o.stackTop}else if(137===e){if(m||y){warn("TT: nested IDEFs not allowed");p=!0}m=!0;u=l}else if(88===e)++b;else if(27===e)y=b;else if(89===e){y===b&&(y=0);--b}else if(28===e&&!m&&!y){const e=d.at(-1);e>0&&(l+=e-1)}}else{if(m||y){warn("TT: nested FDEFs not allowed");p=!0}m=!0;u=l;s=d.pop();t.functionsDefined[s]={data:c,i:l}}else if(!m&&!y){s=d.at(-1);if(isNaN(s))info("TT: CALL empty stack (or invalid entry).");else{t.functionsUsed[s]=!0;if(s in t.functionsStackDeltas){const e=d.length+t.functionsStackDeltas[s];if(e<0){warn("TT: CALL invalid functions stack delta.");t.hintsValid=!1;return}d.length=e}else if(s in t.functionsDefined&&!g.includes(s)){f.push({data:c,i:l,stackTop:d.length-1});g.push(s);o=t.functionsDefined[s];if(!o){warn("TT: CALL non-existent function");t.hintsValid=!1;return}c=o.data;l=o.i}}}if(!m&&!y){let t=0;e<=142?t=i[e]:e>=192&&e<=223?t=-1:e>=224&&(t=-2);if(e>=113&&e<=117){r=d.pop();isNaN(r)||(t=2*-r)}for(;t<0&&d.length>0;){d.pop();t++}for(;t>0;){d.push(NaN);t--}}}t.tooComplexToFollowFunctions=p;const w=[c];l>c.length&&w.push(new Uint8Array(l-c.length));if(u>h){warn("TT: complementing a missing function tail");w.push(new Uint8Array([34,45]))}!function foldTTTable(e,t){if(t.length>1){let a,r,i=0;for(a=0,r=t.length;a<r;a++)i+=t[a].length;i=i+3&-4;const n=new Uint8Array(i);let s=0;for(a=0,r=t.length;a<r;a++){n.set(t[a],s);s+=t[a].length}e.data=n;e.length=i}}(e,w)}let n,s,o,c;if(isTrueTypeCollectionFile(t=new Stream(new Uint8Array(t.getBytes())))){const e=function readTrueTypeCollectionData(e,t){const{numFonts:a,offsetTable:r}=function readTrueTypeCollectionHeader(e){const t=e.getString(4);assert("ttcf"===t,"Must be a TrueType Collection font.");const a=e.getUint16(),r=e.getUint16(),i=e.getInt32()>>>0,n=[];for(let t=0;t<i;t++)n.push(e.getInt32()>>>0);const s={ttcTag:t,majorVersion:a,minorVersion:r,numFonts:i,offsetTable:n};switch(a){case 1:return s;case 2:s.dsigTag=e.getInt32()>>>0;s.dsigLength=e.getInt32()>>>0;s.dsigOffset=e.getInt32()>>>0;return s}throw new FormatError(`Invalid TrueType Collection majorVersion: ${a}.`)}(e),i=t.split("+");let n;for(let s=0;s<a;s++){e.pos=(e.start||0)+r[s];const a=readOpenTypeHeader(e),o=readTables(e,a.numTables);if(!o.name)throw new FormatError(\'TrueType Collection font must contain a "name" table.\');const[c]=readNameTable(o.name);for(let e=0,r=c.length;e<r;e++)for(let r=0,s=c[e].length;r<s;r++){const s=c[e][r]?.replaceAll(/\\s/g,"");if(s){if(s===t)return{header:a,tables:o};if(!(i.length<2))for(const e of i)s===e&&(n={name:e,header:a,tables:o})}}}if(n){warn(`TrueType Collection does not contain "${t}" font, falling back to "${n.name}" font instead.`);return{header:n.header,tables:n.tables}}throw new FormatError(`TrueType Collection does not contain "${t}" font.`)}(t,this.name);n=e.header;s=e.tables}else{n=readOpenTypeHeader(t);s=readTables(t,n.numTables)}const l=!s["CFF "];if(l){if(!s.loca)throw new FormatError(\'Required "loca" table is not found\');if(!s.glyf){warn(\'Required "glyf" table is not found -- trying to recover.\');s.glyf={tag:"glyf",data:new Uint8Array(0)}}this.isOpenType=!1}else{const t=a.composite&&(a.cidToGidMap?.length>0||!(a.cMap instanceof IdentityCMap));if("OTTO"===n.version&&!t||!s.head||!s.hhea||!s.maxp||!s.post){c=new Stream(s["CFF "].data);o=new CFFFont(c,a);return this.convert(e,o,a)}delete s.glyf;delete s.loca;delete s.fpgm;delete s.prep;delete s["cvt "];this.isOpenType=!0}if(!s.maxp)throw new FormatError(\'Required "maxp" table is not found\');t.pos=(t.start||0)+s.maxp.offset;let h=t.getInt32();const u=t.getUint16();if(65536!==h&&20480!==h){if(6===s.maxp.length)h=20480;else{if(!(s.maxp.length>=32))throw new FormatError(\'"maxp" table has a wrong version number\');h=65536}!function writeUint32(e,t,a){e[t+3]=255&a;e[t+2]=a>>>8;e[t+1]=a>>>16;e[t]=a>>>24}(s.maxp.data,0,h)}if(a.scaleFactors?.length===u&&l){const{scaleFactors:e}=a,t=int16(s.head.data[50],s.head.data[51]),r=new GlyfTable({glyfTable:s.glyf.data,isGlyphLocationsLong:t,locaTable:s.loca.data,numGlyphs:u});r.scale(e);const{glyf:i,loca:n,isLocationLong:o}=r.write();s.glyf.data=i;s.loca.data=n;if(o!==!!t){s.head.data[50]=0;s.head.data[51]=o?1:0}const c=s.hmtx.data;for(let t=0;t<u;t++){const a=4*t,r=Math.round(e[t]*int16(c[a],c[a+1]));c[a]=r>>8&255;c[a+1]=255&r;writeSignedInt16(c,a+2,Math.round(e[t]*signedInt16(c[a+2],c[a+3])))}}let d=u+1,f=!0;if(d>65535){f=!1;d=u;warn("Not enough space in glyfs to duplicate first glyph.")}let g=0,p=0;if(h>=65536&&s.maxp.length>=32){t.pos+=8;if(t.getUint16()>2){s.maxp.data[14]=0;s.maxp.data[15]=2}t.pos+=4;g=t.getUint16();t.pos+=4;p=t.getUint16()}s.maxp.data[4]=d>>8;s.maxp.data[5]=255&d;const m=function sanitizeTTPrograms(e,t,a,r){const i={functionsDefined:[],functionsUsed:[],functionsStackDeltas:[],tooComplexToFollowFunctions:!1,hintsValid:!0};e&&sanitizeTTProgram(e,i);t&&sanitizeTTProgram(t,i);e&&function checkInvalidFunctions(e,t){if(!e.tooComplexToFollowFunctions)if(e.functionsDefined.length>t){warn("TT: more functions defined than expected");e.hintsValid=!1}else for(let a=0,r=e.functionsUsed.length;a<r;a++){if(a>t){warn("TT: invalid function id: "+a);e.hintsValid=!1;return}if(e.functionsUsed[a]&&!e.functionsDefined[a]){warn("TT: undefined function: "+a);e.hintsValid=!1;return}}}(i,r);if(a&&1&a.length){const e=new Uint8Array(a.length+1);e.set(a.data);a.data=e}return i.hintsValid}(s.fpgm,s.prep,s["cvt "],g);if(!m){delete s.fpgm;delete s.prep;delete s["cvt "]}!function sanitizeMetrics(e,t,a,r,i,n){if(!t){a&&(a.data=null);return}e.pos=(e.start||0)+t.offset;e.pos+=4;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;const s=e.getUint16();e.pos+=8;e.pos+=2;let o=e.getUint16();if(0!==s){if(!(2&int16(r.data[44],r.data[45]))){t.data[22]=0;t.data[23]=0}}if(o>i){info(`The numOfMetrics (${o}) should not be greater than the numGlyphs (${i}).`);o=i;t.data[34]=(65280&o)>>8;t.data[35]=255&o}const c=i-o-(a.length-4*o>>1);if(c>0){const e=new Uint8Array(a.length+2*c);e.set(a.data);if(n){e[a.length]=a.data[2];e[a.length+1]=a.data[3]}a.data=e}}(t,s.hhea,s.hmtx,s.head,d,f);if(!s.head)throw new FormatError(\'Required "head" table is not found\');!function sanitizeHead(e,t,a){const r=e.data,i=function int32(e,t,a,r){return(e<<24)+(t<<16)+(a<<8)+r}(r[0],r[1],r[2],r[3]);if(i>>16!=1){info("Attempting to fix invalid version in head table: "+i);r[0]=0;r[1]=1;r[2]=0;r[3]=0}const n=int16(r[50],r[51]);if(n<0||n>1){info("Attempting to fix invalid indexToLocFormat in head table: "+n);const e=t+1;if(a===e<<1){r[50]=0;r[51]=0}else{if(a!==e<<2)throw new FormatError("Could not fix indexToLocFormat: "+n);r[50]=0;r[51]=1}}}(s.head,u,l?s.loca.length:0);let b=Object.create(null);if(l){const e=int16(s.head.data[50],s.head.data[51]),t=function sanitizeGlyphLocations(e,t,a,r,i,n,s){let o,c,l;if(r){o=4;c=function fontItemDecodeLong(e,t){return e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3]};l=function fontItemEncodeLong(e,t,a){e[t]=a>>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}}else{o=2;c=function fontItemDecode(e,t){return e[t]<<9|e[t+1]<<1};l=function fontItemEncode(e,t,a){e[t]=a>>9&255;e[t+1]=a>>1&255}}const h=n?a+1:a,u=o*(1+h),d=new Uint8Array(u);d.set(e.data.subarray(0,u));e.data=d;const f=t.data,g=f.length,p=new Uint8Array(g);let m,b;const y=[];for(m=0,b=0;m<a+1;m++,b+=o){let e=c(d,b);e>g&&(e=g);y.push({index:m,offset:e,endOffset:0})}y.sort(((e,t)=>e.offset-t.offset));for(m=0;m<a;m++)y[m].endOffset=y[m+1].offset;y.sort(((e,t)=>e.index-t.index));for(m=0;m<a;m++){const{offset:e,endOffset:t}=y[m];if(0!==e||0!==t)break;const a=y[m+1].offset;if(0!==a){y[m].endOffset=a;break}}const w=y.at(-2);0!==w.offset&&0===w.endOffset&&(w.endOffset=g);const x=Object.create(null);let S=0;l(d,0,S);for(m=0,b=o;m<a;m++,b+=o){const e=sanitizeGlyph(f,y[m].offset,y[m].endOffset,p,S,i),t=e.length;0===t&&(x[m]=!0);e.sizeOfInstructions>s&&(s=e.sizeOfInstructions);S+=t;l(d,b,S)}if(0===S){const e=new Uint8Array([0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,0]);for(m=0,b=o;m<h;m++,b+=o)l(d,b,e.length);t.data=e}else if(n){const a=c(d,o);if(p.length>a+S)t.data=p.subarray(0,a+S);else{t.data=new Uint8Array(a+S);t.data.set(p.subarray(0,S))}t.data.set(p.subarray(0,a),S);l(e.data,d.length-o,S+a)}else t.data=p.subarray(0,S);return{missingGlyphs:x,maxSizeOfInstructions:s}}(s.loca,s.glyf,u,e,m,f,p);b=t.missingGlyphs;if(h>=65536&&s.maxp.length>=32){s.maxp.data[26]=t.maxSizeOfInstructions>>8;s.maxp.data[27]=255&t.maxSizeOfInstructions}}if(!s.hhea)throw new FormatError(\'Required "hhea" table is not found\');if(0===s.hhea.data[10]&&0===s.hhea.data[11]){s.hhea.data[10]=255;s.hhea.data[11]=255}const y={unitsPerEm:int16(s.head.data[18],s.head.data[19]),yMax:signedInt16(s.head.data[42],s.head.data[43]),yMin:signedInt16(s.head.data[38],s.head.data[39]),ascent:signedInt16(s.hhea.data[4],s.hhea.data[5]),descent:signedInt16(s.hhea.data[6],s.hhea.data[7]),lineGap:signedInt16(s.hhea.data[8],s.hhea.data[9])};this.ascent=y.ascent/y.unitsPerEm;this.descent=y.descent/y.unitsPerEm;this.lineGap=y.lineGap/y.unitsPerEm;if(this.cssFontInfo?.lineHeight){this.lineHeight=this.cssFontInfo.metrics.lineHeight;this.lineGap=this.cssFontInfo.metrics.lineGap}else this.lineHeight=this.ascent-this.descent+this.lineGap;s.post&&function readPostScriptTable(e,a,r){const i=(t.start||0)+e.offset;t.pos=i;const n=i+e.length,s=t.getInt32();t.skip(28);let o,c,l=!0;switch(s){case 65536:o=jr;break;case 131072:const e=t.getUint16();if(e!==r){l=!1;break}const i=[];for(c=0;c<e;++c){const e=t.getUint16();if(e>=32768){l=!1;break}i.push(e)}if(!l)break;const h=[],u=[];for(;t.pos<n;){const e=t.getByte();u.length=e;for(c=0;c<e;++c)u[c]=String.fromCharCode(t.getByte());h.push(u.join(""))}o=[];for(c=0;c<e;++c){const e=i[c];e<258?o.push(jr[e]):o.push(h[e-258])}break;case 196608:break;default:warn("Unknown/unsupported post table version "+s);l=!1;a.defaultEncoding&&(o=a.defaultEncoding)}a.glyphNames=o;return l}(s.post,a,u);s.post={tag:"post",data:createPostTable(a)};const w=Object.create(null);function hasGlyph(e){return!b[e]}if(a.composite){const e=a.cidToGidMap||[],t=0===e.length;a.cMap.forEach((function(a,r){"string"==typeof r&&(r=convertCidString(a,r,!0));if(r>65535)throw new FormatError("Max size of CID is 65,535");let i=-1;t?i=r:void 0!==e[r]&&(i=e[r]);i>=0&&i<u&&hasGlyph(i)&&(w[a]=i)}))}else{const e=function readCmapTable(e,t,a,r){if(!e){warn("No cmap table available.");return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}let i,n=(t.start||0)+e.offset;t.pos=n;t.skip(2);const s=t.getUint16();let o,c=!1;for(let e=0;e<s;e++){const i=t.getUint16(),n=t.getUint16(),l=t.getInt32()>>>0;let h=!1;if(o?.platformId!==i||o?.encodingId!==n){if(0!==i||0!==n&&1!==n&&3!==n)if(1===i&&0===n)h=!0;else if(3!==i||1!==n||!r&&o){if(a&&3===i&&0===n){h=!0;let a=!0;if(e<s-1){const e=t.peekBytes(2);int16(e[0],e[1])<i&&(a=!1)}a&&(c=!0)}}else{h=!0;a||(c=!0)}else h=!0;h&&(o={platformId:i,encodingId:n,offset:l});if(c)break}}o&&(t.pos=n+o.offset);if(!o||-1===t.peekByte()){warn("Could not find a preferred cmap table.");return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}const l=t.getUint16();let h=!1;const u=[];let d,f;if(0===l){t.skip(4);for(d=0;d<256;d++){const e=t.getByte();e&&u.push({charCode:d,glyphId:e})}h=!0}else if(2===l){t.skip(4);const e=[];let a=0;for(let r=0;r<256;r++){const r=t.getUint16()>>3;e.push(r);a=Math.max(r,a)}const r=[];for(let e=0;e<=a;e++)r.push({firstCode:t.getUint16(),entryCount:t.getUint16(),idDelta:signedInt16(t.getByte(),t.getByte()),idRangePos:t.pos+t.getUint16()});for(let a=0;a<256;a++)if(0===e[a]){t.pos=r[0].idRangePos+2*a;f=t.getUint16();u.push({charCode:a,glyphId:f})}else{const i=r[e[a]];for(d=0;d<i.entryCount;d++){const e=(a<<8)+d+i.firstCode;t.pos=i.idRangePos+2*d;f=t.getUint16();0!==f&&(f=(f+i.idDelta)%65536);u.push({charCode:e,glyphId:f})}}}else if(4===l){t.skip(4);const e=t.getUint16()>>1;t.skip(6);const a=[];let r;for(r=0;r<e;r++)a.push({end:t.getUint16()});t.skip(2);for(r=0;r<e;r++)a[r].start=t.getUint16();for(r=0;r<e;r++)a[r].delta=t.getUint16();let s,o=0;for(r=0;r<e;r++){i=a[r];const n=t.getUint16();if(n){s=(n>>1)-(e-r);i.offsetIndex=s;o=Math.max(o,s+i.end-i.start+1)}else i.offsetIndex=-1}const c=[];for(d=0;d<o;d++)c.push(t.getUint16());for(r=0;r<e;r++){i=a[r];n=i.start;const e=i.end,t=i.delta;s=i.offsetIndex;for(d=n;d<=e;d++)if(65535!==d){f=s<0?d:c[s+d-n];f=f+t&65535;u.push({charCode:d,glyphId:f})}}}else if(6===l){t.skip(4);const e=t.getUint16(),a=t.getUint16();for(d=0;d<a;d++){f=t.getUint16();const a=e+d;u.push({charCode:a,glyphId:f})}}else{if(12!==l){warn("cmap table has unsupported format: "+l);return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}{t.skip(10);const e=t.getInt32()>>>0;for(d=0;d<e;d++){const e=t.getInt32()>>>0,a=t.getInt32()>>>0;let r=t.getInt32()>>>0;for(let t=e;t<=a;t++)u.push({charCode:t,glyphId:r++})}}}u.sort(((e,t)=>e.charCode-t.charCode));const g=[],p=new Set;for(const e of u){const{charCode:t}=e;if(!p.has(t)){p.add(t);g.push(e)}}return{platformId:o.platformId,encodingId:o.encodingId,mappings:g,hasShortCmap:h}}(s.cmap,t,this.isSymbolicFont,a.hasEncoding),r=e.platformId,i=e.encodingId,n=e.mappings;let o=[],c=!1;!a.hasEncoding||"MacRomanEncoding"!==a.baseEncodingName&&"WinAnsiEncoding"!==a.baseEncodingName||(o=getEncoding(a.baseEncodingName));if(a.hasEncoding&&!this.isSymbolicFont&&(3===r&&1===i||1===r&&0===i)){const e=Fr();for(let t=0;t<256;t++){let s;s=void 0!==this.differences[t]?this.differences[t]:o.length&&""!==o[t]?o[t]:Ar[t];if(!s)continue;const c=recoverGlyphName(s,e);let l;3===r&&1===i?l=e[c]:1===r&&0===i&&(l=Sr.indexOf(c));if(void 0===l){if(!a.glyphNames&&a.hasIncludedToUnicodeMap&&!(this.toUnicode instanceof IdentityToUnicodeMap)){const e=this.toUnicode.get(t);e&&(l=e.codePointAt(0))}if(void 0===l)continue}for(const e of n)if(e.charCode===l){w[t]=e.glyphId;break}}}else if(0===r){for(const e of n)w[e.charCode]=e.glyphId;c=!0}else if(3===r&&0===i)for(const e of n){let t=e.charCode;t>=61440&&t<=61695&&(t&=255);w[t]=e.glyphId}else for(const e of n)w[e.charCode]=e.glyphId;if(a.glyphNames&&(o.length||this.differences.length))for(let e=0;e<256;++e){if(!c&&void 0!==w[e])continue;const t=this.differences[e]||o[e];if(!t)continue;const r=a.glyphNames.indexOf(t);r>0&&hasGlyph(r)&&(w[e]=r)}}0===w.length&&(w[0]=0);let x=d-1;f||(x=0);if(!a.cssFontInfo){const e=adjustMapping(w,hasGlyph,x,this.toUnicode);this.toFontChar=e.toFontChar;s.cmap={tag:"cmap",data:createCmapTable(e.charCodeToGlyphId,e.toUnicodeExtraMap,d)};s["OS/2"]&&function validateOS2Table(e,t){t.pos=(t.start||0)+e.offset;const a=t.getUint16();t.skip(60);const r=t.getUint16();if(a<4&&768&r)return!1;if(t.getUint16()>t.getUint16())return!1;t.skip(6);if(0===t.getUint16())return!1;e.data[8]=e.data[9]=0;return!0}(s["OS/2"],t)||(s["OS/2"]={tag:"OS/2",data:createOS2Table(a,e.charCodeToGlyphId,y)})}if(!l)try{c=new Stream(s["CFF "].data);o=new CFFParser(c,a,Rr).parse();o.duplicateFirstGlyph();const e=new CFFCompiler(o);s["CFF "].data=e.compile()}catch{warn("Failed to compile font "+a.loadedName)}if(s.name){const[t,r]=readNameTable(s.name);s.name.data=createNameTable(e,t);this.psName=t[0][6]||null;a.composite||function adjustTrueTypeToUnicode(e,t,a){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(e.hasEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;if(!t)return;if(0===a.length)return;if(e.defaultEncoding===kr)return;for(const e of a)if(!isWinNameRecord(e))return;const r=kr,i=[],n=Fr();for(const e in r){const t=r[e];if(""===t)continue;const a=n[t];void 0!==a&&(i[e]=String.fromCharCode(a))}i.length>0&&e.toUnicode.amend(i)}(a,this.isSymbolicFont,r)}else s.name={tag:"name",data:createNameTable(this.name)};const S=new OpenTypeFileBuilder(n.version);for(const e in s)S.addTable(e,s[e].data);return S.toArray()}convert(e,a,r){r.fixedPitch=!1;r.builtInEncoding&&function adjustType1ToUnicode(e,t){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(t===e.defaultEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const a=[],r=Fr();for(const i in t){if(e.hasEncoding&&(e.baseEncodingName||void 0!==e.differences[i]))continue;const n=getUnicodeForGlyph(t[i],r);-1!==n&&(a[i]=String.fromCharCode(n))}a.length>0&&e.toUnicode.amend(a)}(r,r.builtInEncoding);let i=1;a instanceof CFFFont&&(i=a.numGlyphs-1);const n=a.getGlyphMapping(r);let s=null,o=n,c=null;if(!r.cssFontInfo){s=adjustMapping(n,a.hasGlyphId.bind(a),i,this.toUnicode);this.toFontChar=s.toFontChar;o=s.charCodeToGlyphId;c=s.toUnicodeExtraMap}const l=a.numGlyphs;function getCharCodes(e,t){let a=null;for(const r in e)t===e[r]&&(a||=[]).push(0|r);return a}function createCharCode(e,t){for(const a in e)if(t===e[a])return 0|a;s.charCodeToGlyphId[s.nextAvailableFontCharCode]=t;return s.nextAvailableFontCharCode++}const h=a.seacs;if(s&&h?.length){const e=r.fontMatrix||t,i=a.getCharset(),o=Object.create(null);for(let t in h){t|=0;const a=h[t],r=Ar[a[2]],c=Ar[a[3]],l=i.indexOf(r),u=i.indexOf(c);if(l<0||u<0)continue;const d={x:a[0]*e[0]+a[1]*e[2]+e[4],y:a[0]*e[1]+a[1]*e[3]+e[5]},f=getCharCodes(n,t);if(f)for(const e of f){const t=s.charCodeToGlyphId,a=createCharCode(t,l),r=createCharCode(t,u);o[e]={baseFontCharCode:a,accentFontCharCode:r,accentOffset:d}}}r.seacMap=o}const u=r.fontMatrix?1/Math.max(...r.fontMatrix.slice(0,4).map(Math.abs)):1e3,d=new OpenTypeFileBuilder("OTTO");d.addTable("CFF ",a.data);d.addTable("OS/2",createOS2Table(r,o));d.addTable("cmap",createCmapTable(o,c,l));d.addTable("head","\\0
\\0\\0\\0\\0\\0\\0\\0\\0\\0_<õ\\0\\0"+safeString16(u)+"\\0\\0\\0\\0ž\\v~\'\\0\\0\\0\\0ž\\v~\'\\0\\0"+safeString16(r.descent)+"ÿ"+safeString16(r.ascent)+string16(r.italicAngle?2:0)+"\\0\\0\\0\\0\\0\\0\\0");d.addTable("hhea","\\0
\\0\\0"+safeString16(r.ascent)+safeString16(r.descent)+"\\0\\0ÿÿ\\0\\0\\0\\0\\0\\0"+safeString16(r.capHeight)+safeString16(Math.tan(r.italicAngle)*r.xHeight)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"+string16(l));d.addTable("hmtx",function fontFieldsHmtx(){const e=a.charstrings,t=a.cff?a.cff.widths:null;let r="\\0\\0\\0\\0";for(let a=1,i=l;a<i;a++){let i=0;if(e){const t=e[a-1];i="width"in t?t.width:0}else t&&(i=Math.ceil(t[a]||0));r+=string16(i)+string16(0)}return r}());d.addTable("maxp","\\0\\0P\\0"+string16(l));d.addTable("name",createNameTable(e));d.addTable("post",createPostTable(r));return d.toArray()}get _spaceWidth(){const e=["space","minus","one","i","I"];let t;for(const a of e){if(a in this.widths){t=this.widths[a];break}const e=Fr()[a];let r=0;if(this.composite&&this.cMap.contains(e)){r=this.cMap.lookup(e);"string"==typeof r&&(r=convertCidString(e,r))}!r&&this.toUnicode&&(r=this.toUnicode.charCodeOf(e));r<=0&&(r=e);t=this.widths[r];if(t)break}return shadow(this,"_spaceWidth",t||this.defaultWidth)}_charToGlyph(e,t=!1){let a,r,i,n=this._glyphCache[e];if(n?.isSpace===t)return n;let s=e;if(this.cMap?.contains(e)){s=this.cMap.lookup(e);"string"==typeof s&&(s=convertCidString(e,s))}r=this.widths[s];"number"!=typeof r&&(r=this.defaultWidth);const o=this.vmetrics?.[s];let c=this.toUnicode.get(e)||e;"number"==typeof c&&(c=String.fromCharCode(c));let l=void 0!==this.toFontChar[e];a=this.toFontChar[e]||e;if(this.missingFile){const t=this.differences[e]||this.defaultEncoding[e];if((".notdef"===t||""===t)&&"Type1"===this.type){a=32;if(""===t){r||=this._spaceWidth;c=String.fromCharCode(a)}}a=function mapSpecialUnicodeValues(e){return e>=65520&&e<=65535?0:e>=62976&&e<=63743?Tr()[e]||e:173===e?45:e}(a)}this.isType3Font&&(i=a);let h=null;if(this.seacMap?.[e]){l=!0;const t=this.seacMap[e];a=t.baseFontCharCode;h={fontChar:String.fromCodePoint(t.accentFontCharCode),offset:t.accentOffset}}let u="";"number"==typeof a&&(a<=1114111?u=String.fromCodePoint(a):warn(`charToGlyph - invalid fontCharCode: ${a}`));if(this.missingFile&&this.vertical&&1===u.length){const e=_r()[u.charCodeAt(0)];e&&(u=c=String.fromCharCode(e))}n=new fonts_Glyph(e,u,c,h,r,o,i,t,l);return this._glyphCache[e]=n}charsToGlyphs(e){let t=this._charsCache[e];if(t)return t;t=[];if(this.cMap){const a=Object.create(null),r=e.length;let i=0;for(;i<r;){this.cMap.readCharCode(e,i,a);const{charcode:r,length:n}=a;i+=n;const s=this._charToGlyph(r,1===n&&32===e.charCodeAt(i-1));t.push(s)}}else for(let a=0,r=e.length;a<r;++a){const r=e.charCodeAt(a),i=this._charToGlyph(r,32===r);t.push(i)}return this._charsCache[e]=t}getCharPositions(e){const t=[];if(this.cMap){const a=Object.create(null);let r=0;for(;r<e.length;){this.cMap.readCharCode(e,r,a);const i=a.length;t.push([r,r+i]);r+=i}}else for(let a=0,r=e.length;a<r;++a)t.push([a,a+1]);return t}get glyphCacheValues(){return Object.values(this._glyphCache)}encodeString(e){const t=[],a=[],hasCurrentBufErrors=()=>t.length%2==1,r=this.toUnicode instanceof IdentityToUnicodeMap?e=>this.toUnicode.charCodeOf(e):e=>this.toUnicode.charCodeOf(String.fromCodePoint(e));for(let i=0,n=e.length;i<n;i++){const n=e.codePointAt(i);n>55295&&(n<57344||n>65533)&&i++;if(this.toUnicode){const e=r(n);if(-1!==e){if(hasCurrentBufErrors()){t.push(a.join(""));a.length=0}for(let t=(this.cMap?this.cMap.getCharCodeLength(e):1)-1;t>=0;t--)a.push(String.fromCharCode(e>>8*t&255));continue}}if(!hasCurrentBufErrors()){t.push(a.join(""));a.length=0}a.push(String.fromCodePoint(n))}t.push(a.join(""));return t}}class ErrorFont{constructor(e){this.error=e;this.loadedName="g_font_error";this.missingFile=!0}charsToGlyphs(){return[]}encodeString(e){return[e]}exportData(){return{error:this.error}}}const Si=2,Ai=3,ki=4,Ci=5,vi=6,Fi=7;class Pattern{constructor(){unreachable("Cannot initialize Pattern.")}static parseShading(e,t,a,r,i,n){const s=e instanceof BaseStream?e.dict:e,o=s.get("ShadingType");try{switch(o){case Si:case Ai:return new RadialAxialShading(s,t,a,r,i,n);case ki:case Ci:case vi:case Fi:return new MeshShading(e,t,a,r,i,n);default:throw new FormatError("Unsupported ShadingType: "+o)}}catch(e){if(e instanceof MissingDataException)throw e;warn(e);return new DummyShading}}}class BaseShading{static SMALL_NUMBER=1e-6;getIR(){unreachable("Abstract method `getIR` called.")}}class RadialAxialShading extends BaseShading{constructor(e,t,a,r,i,n){super();this.shadingType=e.get("ShadingType");let s=0;this.shadingType===Si?s=4:this.shadingType===Ai&&(s=6);this.coordsArr=e.getArray("Coords");if(!isNumberArray(this.coordsArr,s))throw new FormatError("RadialAxialShading: Invalid /Coords array.");const o=ColorSpaceUtils.parse({cs:e.getRaw("CS")||e.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.bbox=lookupNormalRect(e.getArray("BBox"),null);let c=0,l=1;const h=e.getArray("Domain");isNumberArray(h,2)&&([c,l]=h);let u=!1,d=!1;const f=e.getArray("Extend");(function isBooleanArray(e,t){return Array.isArray(e)&&(null===t||e.length===t)&&e.every((e=>"boolean"==typeof e))})(f,2)&&([u,d]=f);if(!(this.shadingType!==Ai||u&&d)){const[e,t,a,r,i,n]=this.coordsArr,s=Math.hypot(e-r,t-i);a<=n+s&&n<=a+s&&warn("Unsupported radial gradient.")}this.extendStart=u;this.extendEnd=d;const g=e.getRaw("Function"),p=r.create(g,!0),m=(l-c)/840,b=this.colorStops=[];if(c>=l||m<=0){info("Bad shading domain.");return}const y=new Float32Array(o.numComps),w=new Float32Array(1);let x=0;w[0]=c;p(w,0,y,0);const S=new Uint8ClampedArray(3);o.getRgb(y,0,S);let[k,C,v]=S;b.push([0,Util.makeHexColor(k,C,v)]);let F=1;w[0]=c+m;p(w,0,y,0);o.getRgb(y,0,S);let[T,O,M]=S,D=T-k+1,R=O-C+1,N=M-v+1,E=T-k-1,L=O-C-1,j=M-v-1;for(let e=2;e<840;e++){w[0]=c+e*m;p(w,0,y,0);o.getRgb(y,0,S);const[t,a,r]=S,i=e-x;D=Math.min(D,(t-k+1)/i);R=Math.min(R,(a-C+1)/i);N=Math.min(N,(r-v+1)/i);E=Math.max(E,(t-k-1)/i);L=Math.max(L,(a-C-1)/i);j=Math.max(j,(r-v-1)/i);if(!(E<=D&&L<=R&&j<=N)){const e=Util.makeHexColor(T,O,M);b.push([F/840,e]);D=t-T+1;R=a-O+1;N=r-M+1;E=t-T-1;L=a-O-1;j=r-M-1;x=F;k=T;C=O;v=M}F=e;T=t;O=a;M=r}b.push([1,Util.makeHexColor(T,O,M)]);let _="transparent";e.has("Background")&&(_=o.getRgbHex(e.get("Background"),0));if(!u){b.unshift([0,_]);b[1][0]+=BaseShading.SMALL_NUMBER}if(!d){b.at(-1)[0]-=BaseShading.SMALL_NUMBER;b.push([1,_])}this.colorStops=b}getIR(){const{coordsArr:e,shadingType:t}=this;let a,r,i,n,s;if(t===Si){r=[e[0],e[1]];i=[e[2],e[3]];n=null;s=null;a="axial"}else if(t===Ai){r=[e[0],e[1]];i=[e[3],e[4]];n=e[2];s=e[5];a="radial"}else unreachable(`getPattern type unknown: ${t}`);return["RadialAxial",a,this.bbox,this.colorStops,r,i,n,s]}}class MeshStreamReader{constructor(e,t){this.stream=e;this.context=t;this.buffer=0;this.bufferLength=0;const a=t.numComps;this.tmpCompsBuf=new Float32Array(a);const r=t.colorSpace.numComps;this.tmpCsCompsBuf=t.colorFn?new Float32Array(r):this.tmpCompsBuf}get hasData(){if(this.stream.end)return this.stream.pos<this.stream.end;if(this.bufferLength>0)return!0;const e=this.stream.getByte();if(e<0)return!1;this.buffer=e;this.bufferLength=8;return!0}readBits(e){const{stream:t}=this;let{buffer:a,bufferLength:r}=this;if(32===e){if(0===r)return t.getInt32()>>>0;a=a<<24|t.getByte()<<16|t.getByte()<<8|t.getByte();const e=t.getByte();this.buffer=e&(1<<r)-1;return(a<<8-r|(255&e)>>r)>>>0}if(8===e&&0===r)return t.getByte();for(;r<e;){a=a<<8|t.getByte();r+=8}r-=e;this.bufferLength=r;this.buffer=a&(1<<r)-1;return a>>r}align(){this.buffer=0;this.bufferLength=0}readFlag(){return this.readBits(this.context.bitsPerFlag)}readCoordinate(){const{bitsPerCoordinate:e,decode:t}=this.context,a=this.readBits(e),r=this.readBits(e),i=e<32?1/((1<<e)-1):2.3283064365386963e-10;return[a*i*(t[1]-t[0])+t[0],r*i*(t[3]-t[2])+t[2]]}readComponents(){const{bitsPerComponent:e,colorFn:t,colorSpace:a,decode:r,numComps:i}=this.context,n=e<32?1/((1<<e)-1):2.3283064365386963e-10,s=this.tmpCompsBuf;for(let t=0,a=4;t<i;t++,a+=2){const i=this.readBits(e);s[t]=i*n*(r[a+1]-r[a])+r[a]}const o=this.tmpCsCompsBuf;t?.(s,0,o,0);return a.getRgb(o,0)}}let Ii=Object.create(null);function getB(e){return Ii[e]||=function buildB(e){const t=[];for(let a=0;a<=e;a++){const r=a/e,i=1-r;t.push(new Float32Array([i**3,3*r*i**2,3*r**2*i,r**3]))}return t}(e)}class MeshShading extends BaseShading{static MIN_SPLIT_PATCH_CHUNKS_AMOUNT=3;static MAX_SPLIT_PATCH_CHUNKS_AMOUNT=20;static TRIANGLE_DENSITY=20;constructor(e,t,a,r,i,n){super();if(!(e instanceof BaseStream))throw new FormatError("Mesh data is not a stream");const s=e.dict;this.shadingType=s.get("ShadingType");this.bbox=lookupNormalRect(s.getArray("BBox"),null);const o=ColorSpaceUtils.parse({cs:s.getRaw("CS")||s.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.background=s.has("Background")?o.getRgb(s.get("Background"),0):null;const c=s.getRaw("Function"),l=c?r.create(c,!0):null;this.coords=[];this.colors=[];this.figures=[];const h={bitsPerCoordinate:s.get("BitsPerCoordinate"),bitsPerComponent:s.get("BitsPerComponent"),bitsPerFlag:s.get("BitsPerFlag"),decode:s.getArray("Decode"),colorFn:l,colorSpace:o,numComps:l?1:o.numComps},u=new MeshStreamReader(e,h);let d=!1;switch(this.shadingType){case ki:this._decodeType4Shading(u);break;case Ci:const e=0|s.get("VerticesPerRow");if(e<2)throw new FormatError("Invalid VerticesPerRow");this._decodeType5Shading(u,e);break;case vi:this._decodeType6Shading(u);d=!0;break;case Fi:this._decodeType7Shading(u);d=!0;break;default:unreachable("Unsupported mesh type.")}if(d){this._updateBounds();for(let e=0,t=this.figures.length;e<t;e++)this._buildFigureFromPatch(e)}this._updateBounds();this._packData()}_decodeType4Shading(e){const t=this.coords,a=this.colors,r=[],i=[];let n=0;for(;e.hasData;){const s=e.readFlag(),o=e.readCoordinate(),c=e.readComponents();if(0===n){if(!(0<=s&&s<=2))throw new FormatError("Unknown type4 flag");switch(s){case 0:n=3;break;case 1:i.push(i.at(-2),i.at(-1));n=1;break;case 2:i.push(i.at(-3),i.at(-1));n=1}r.push(s)}i.push(t.length);t.push(o);a.push(c);n--;e.align()}this.figures.push({type:"triangles",coords:new Int32Array(i),colors:new Int32Array(i)})}_decodeType5Shading(e,t){const a=this.coords,r=this.colors,i=[];for(;e.hasData;){const t=e.readCoordinate(),n=e.readComponents();i.push(a.length);a.push(t);r.push(n)}this.figures.push({type:"lattice",coords:new Int32Array(i),colors:new Int32Array(i),verticesPerRow:t})}_decodeType6Shading(e){const t=this.coords,a=this.colors,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type6 flag");const s=t.length;for(let a=0,r=0!==n?8:12;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.readComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8]=s+2;r[11]=s+7;r[4]=s+1;r[7]=s+8;r[0]=s;r[1]=s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[11]=s+3;r[4]=r[2];r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1];i[1]=o+1}r[5]=t.length;t.push([(-4*t[r[0]][0]-t[r[15]][0]+6*(t[r[4]][0]+t[r[1]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[13]][0]+t[r[7]][0]))/9,(-4*t[r[0]][1]-t[r[15]][1]+6*(t[r[4]][1]+t[r[1]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[13]][1]+t[r[7]][1]))/9]);r[6]=t.length;t.push([(-4*t[r[3]][0]-t[r[12]][0]+6*(t[r[2]][0]+t[r[7]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[4]][0]+t[r[14]][0]))/9,(-4*t[r[3]][1]-t[r[12]][1]+6*(t[r[2]][1]+t[r[7]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[4]][1]+t[r[14]][1]))/9]);r[9]=t.length;t.push([(-4*t[r[12]][0]-t[r[3]][0]+6*(t[r[8]][0]+t[r[13]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[11]][0]+t[r[1]][0]))/9,(-4*t[r[12]][1]-t[r[3]][1]+6*(t[r[8]][1]+t[r[13]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[11]][1]+t[r[1]][1]))/9]);r[10]=t.length;t.push([(-4*t[r[15]][0]-t[r[0]][0]+6*(t[r[11]][0]+t[r[14]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[2]][0]+t[r[8]][0]))/9,(-4*t[r[15]][1]-t[r[0]][1]+6*(t[r[11]][1]+t[r[14]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[2]][1]+t[r[8]][1]))/9]);this.figures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_decodeType7Shading(e){const t=this.coords,a=this.colors,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type7 flag");const s=t.length;for(let a=0,r=0!==n?12:16;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.readComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8]=s+2;r[9]=s+13;r[10]=s+14;r[11]=s+7;r[4]=s+1;r[5]=s+12;r[6]=s+15;r[7]=s+8;r[0]=s;r[1]=s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=r[2];r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1];i[1]=o+1}this.figures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_buildFigureFromPatch(e){const t=this.figures[e];assert("patch"===t.type,"Unexpected patch mesh figure");const a=this.coords,r=this.colors,i=t.coords,n=t.colors,s=Math.min(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),o=Math.min(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]),c=Math.max(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),l=Math.max(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]);let h=Math.ceil((c-s)*MeshShading.TRIANGLE_DENSITY/(this.bounds[2]-this.bounds[0]));h=MathClamp(h,MeshShading.MIN_SPLIT_PATCH_CHUNKS_AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);let u=Math.ceil((l-o)*MeshShading.TRIANGLE_DENSITY/(this.bounds[3]-this.bounds[1]));u=MathClamp(u,MeshShading.MIN_SPLIT_PATCH_CHUNKS_AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);const d=h+1,f=new Int32Array((u+1)*d),g=new Int32Array((u+1)*d);let p=0;const m=new Uint8Array(3),b=new Uint8Array(3),y=r[n[0]],w=r[n[1]],x=r[n[2]],S=r[n[3]],k=getB(u),C=getB(h);for(let e=0;e<=u;e++){m[0]=(y[0]*(u-e)+x[0]*e)/u|0;m[1]=(y[1]*(u-e)+x[1]*e)/u|0;m[2]=(y[2]*(u-e)+x[2]*e)/u|0;b[0]=(w[0]*(u-e)+S[0]*e)/u|0;b[1]=(w[1]*(u-e)+S[1]*e)/u|0;b[2]=(w[2]*(u-e)+S[2]*e)/u|0;for(let t=0;t<=h;t++,p++){if(!(0!==e&&e!==u||0!==t&&t!==h))continue;let n=0,s=0,o=0;for(let r=0;r<=3;r++)for(let c=0;c<=3;c++,o++){const l=k[e][r]*C[t][c];n+=a[i[o]][0]*l;s+=a[i[o]][1]*l}f[p]=a.length;a.push([n,s]);g[p]=r.length;const c=new Uint8Array(3);c[0]=(m[0]*(h-t)+b[0]*t)/h|0;c[1]=(m[1]*(h-t)+b[1]*t)/h|0;c[2]=(m[2]*(h-t)+b[2]*t)/h|0;r.push(c)}}f[0]=i[0];g[0]=n[0];f[h]=i[3];g[h]=n[1];f[d*u]=i[12];g[d*u]=n[2];f[d*u+h]=i[15];g[d*u+h]=n[3];this.figures[e]={type:"lattice",coords:f,colors:g,verticesPerRow:d}}_updateBounds(){let e=this.coords[0][0],t=this.coords[0][1],a=e,r=t;for(let i=1,n=this.coords.length;i<n;i++){const n=this.coords[i][0],s=this.coords[i][1];e=e>n?n:e;t=t>s?s:t;a=a<n?n:a;r=r<s?s:r}this.bounds=[e,t,a,r]}_packData(){let e,t,a,r;const i=this.coords,n=new Float32Array(2*i.length);for(e=0,a=0,t=i.length;e<t;e++){const t=i[e];n[a++]=t[0];n[a++]=t[1]}this.coords=n;const s=this.colors,o=new Uint8Array(3*s.length);for(e=0,a=0,t=s.length;e<t;e++){const t=s[e];o[a++]=t[0];o[a++]=t[1];o[a++]=t[2]}this.colors=o;const c=this.figures;for(e=0,t=c.length;e<t;e++){const t=c[e],i=t.coords,n=t.colors;for(a=0,r=i.length;a<r;a++){i[a]*=2;n[a]*=3}}}getIR(){const{bounds:e}=this;if(e[2]-e[0]==0||e[3]-e[1]==0)throw new FormatError(`Invalid MeshShading bounds: [${e}].`);return["Mesh",this.shadingType,this.coords,this.colors,this.figures,e,this.bbox,this.background]}}class DummyShading extends BaseShading{getIR(){return["Dummy"]}}function getTilingPatternIR(e,t,a){const r=lookupMatrix(t.getArray("Matrix"),Fa),i=lookupNormalRect(t.getArray("BBox"),null);if(!i||i[2]-i[0]==0||i[3]-i[1]==0)throw new FormatError("Invalid getTilingPatternIR /BBox array.");const n=t.get("XStep");if("number"!=typeof n)throw new FormatError("Invalid getTilingPatternIR /XStep value.");const s=t.get("YStep");if("number"!=typeof s)throw new FormatError("Invalid getTilingPatternIR /YStep value.");const o=t.get("PaintType");if(!Number.isInteger(o))throw new FormatError("Invalid getTilingPatternIR /PaintType value.");const c=t.get("TilingType");if(!Number.isInteger(c))throw new FormatError("Invalid getTilingPatternIR /TilingType value.");return["TilingPattern",a,e,r,i,n,s,o,c]}const 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t=this.operators.length;this.operators.push(null,null);const a=this.operators.length;this.parseBlock();this.expect(yn.RBRACE);this.expect(yn.IFELSE);this.operators[t]=this.operators.length;this.operators[t+1]="j";this.operators[e]=a;this.operators[e+1]="jz"}}}}const yn={LBRACE:0,RBRACE:1,NUMBER:2,OPERATOR:3,IF:4,IFELSE:5};class PostScriptToken{static get opCache(){return shadow(this,"opCache",Object.create(null))}constructor(e,t){this.type=e;this.value=t}static getOperator(e){return PostScriptToken.opCache[e]||=new PostScriptToken(yn.OPERATOR,e)}static get LBRACE(){return shadow(this,"LBRACE",new PostScriptToken(yn.LBRACE,"{"))}static get RBRACE(){return shadow(this,"RBRACE",new PostScriptToken(yn.RBRACE,"}"))}static get IF(){return shadow(this,"IF",new PostScriptToken(yn.IF,"IF"))}static get IFELSE(){return shadow(this,"IFELSE",new PostScriptToken(yn.IFELSE,"IFELSE"))}}class PostScriptLexer{constructor(e){this.stream=e;this.nextChar();this.strBuf=[]}nextChar(){return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return new PostScriptToken(yn.NUMBER,this.getNumber());case 123:this.nextChar();return PostScriptToken.LBRACE;case 125:this.nextChar();return PostScriptToken.RBRACE}const a=this.strBuf;a.length=0;a[0]=String.fromCharCode(t);for(;(t=this.nextChar())>=0&&(t>=65&&t<=90||t>=97&&t<=122);)a.push(String.fromCharCode(t));const r=a.join("");switch(r.toLowerCase()){case"if":return PostScriptToken.IF;case"ifelse":return PostScriptToken.IFELSE;default:return PostScriptToken.getOperator(r)}}getNumber(){let e=this.currentChar;const t=this.strBuf;t.length=0;t[0]=String.fromCharCode(e);for(;(e=this.nextChar())>=0&&(e>=48&&e<=57||45===e||46===e);)t.push(String.fromCharCode(e));const a=parseFloat(t.join(""));if(isNaN(a))throw new FormatError(`Invalid floating point number: ${a}`);return a}}class BaseLocalCache{constructor(e){this._onlyRefs=!0===e?.onlyRefs;if(!this._onlyRefs){this._nameRefMap=new Map;this._imageMap=new Map}this._imageCache=new RefSetCache}getByName(e){this._onlyRefs&&unreachable("Should not call `getByName` method.");const t=this._nameRefMap.get(e);return t?this.getByRef(t):this._imageMap.get(e)||null}getByRef(e){return this._imageCache.get(e)||null}set(e,t,a){unreachable("Abstract method `set` called.")}}class LocalImageCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalImageCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalColorSpaceCache extends BaseLocalCache{set(e=null,t=null,a){if("string"!=typeof e&&!t)throw new Error(\'LocalColorSpaceCache.set - expected "name" and/or "ref" argument.\');if(t){if(this._imageCache.has(t))return;null!==e&&this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalFunctionCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalFunctionCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class LocalGStateCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalGStateCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalTilingPatternCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalTilingPatternCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class RegionalImageCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'RegionalImageCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class GlobalColorSpaceCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'GlobalColorSpaceCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}clear(){this._imageCache.clear()}}class GlobalImageCache{static NUM_PAGES_THRESHOLD=2;static MIN_IMAGES_TO_CACHE=10;static MAX_BYTE_SIZE=5e7;#H=new RefSet;constructor(){this._refCache=new RefSetCache;this._imageCache=new RefSetCache}get#W(){let e=0;for(const t of this._imageCache)e+=t.byteSize;return e}get#z(){return!(this._imageCache.size<GlobalImageCache.MIN_IMAGES_TO_CACHE)&&!(this.#W<GlobalImageCache.MAX_BYTE_SIZE)}shouldCache(e,t){let a=this._refCache.get(e);if(!a){a=new Set;this._refCache.put(e,a)}a.add(t);return!(a.size<GlobalImageCache.NUM_PAGES_THRESHOLD)&&!(!this._imageCache.has(e)&&this.#z)}addDecodeFailed(e){this.#H.put(e)}hasDecodeFailed(e){return this.#H.has(e)}addByteSize(e,t){const a=this._imageCache.get(e);a&&(a.byteSize||(a.byteSize=t))}getData(e,t){const a=this._refCache.get(e);if(!a)return null;if(a.size<GlobalImageCache.NUM_PAGES_THRESHOLD)return null;const r=this._imageCache.get(e);if(!r)return null;a.add(t);return r}setData(e,t){if(!this._refCache.has(e))throw new Error(\'GlobalImageCache.setData - expected "shouldCache" to have been called.\');this._imageCache.has(e)||(this.#z?warn("GlobalImageCache.setData - cache limit reached."):this._imageCache.put(e,t))}clear(e=!1){if(!e){this.#H.clear();this._refCache.clear()}this._imageCache.clear()}}class PDFFunctionFactory{constructor({xref:e,isEvalSupported:t=!0}){this.xref=e;this.isEvalSupported=!1!==t}create(e,t=!1){let a,r;e instanceof Ref?a=e:e instanceof Dict?a=e.objId:e instanceof BaseStream&&(a=e.dict?.objId);if(a){const e=this._localFunctionCache.getByRef(a);if(e)return e}const i=this.xref.fetchIfRef(e);if(Array.isArray(i)){if(!t)throw new Error(\'PDFFunctionFactory.create - expected "parseArray" argument.\');r=PDFFunction.parseArray(this,i)}else r=PDFFunction.parse(this,i);a&&this._localFunctionCache.set(null,a,r);return r}get _localFunctionCache(){return shadow(this,"_localFunctionCache",new LocalFunctionCache)}}function toNumberArray(e){return Array.isArray(e)?isNumberArray(e,null)?e:e.map((e=>+e)):null}class PDFFunction{static getSampleArray(e,t,a,r){let i,n,s=1;for(i=0,n=e.length;i<n;i++)s*=e[i];s*=t;const o=new Array(s);let c=0,l=0;const h=1/(2**a-1),u=r.getBytes((s*a+7)/8);let d=0;for(i=0;i<s;i++){for(;c<a;){l<<=8;l|=u[d++];c+=8}c-=a;o[i]=(l>>c)*h;l&=(1<<c)-1}return o}static parse(e,t){const a=t.dict||t;switch(a.get("FunctionType")){case 0:return this.constructSampled(e,t,a);case 1:break;case 2:return this.constructInterpolated(e,a);case 3:return this.constructStiched(e,a);case 4:return this.constructPostScript(e,t,a)}throw new FormatError("Unknown type of function")}static parseArray(e,t){const{xref:a}=e,r=[];for(const i of t)r.push(this.parse(e,a.fetchIfRef(i)));return function(e,t,a,i){for(let n=0,s=r.length;n<s;n++)r[n](e,t,a,i+n)}}static constructSampled(e,t,a){function toMultiArray(e){const t=e.length,a=[];let r=0;for(let i=0;i<t;i+=2)a[r++]=[e[i],e[i+1]];return a}function interpolate(e,t,a,r,i){return r+(i-r)/(a-t)*(e-t)}let r=toNumberArray(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r||!i)throw new FormatError("No domain or range");const n=r.length/2,s=i.length/2;r=toMultiArray(r);i=toMultiArray(i);const o=toNumberArray(a.getArray("Size")),c=a.get("BitsPerSample"),l=a.get("Order")||1;1!==l&&info("No support for cubic spline interpolation: "+l);let h=toNumberArray(a.getArray("Encode"));if(h)h=toMultiArray(h);else{h=[];for(let e=0;e<n;++e)h.push([0,o[e]-1])}let u=toNumberArray(a.getArray("Decode"));u=u?toMultiArray(u):i;const d=this.getSampleArray(o,s,c,t);return function constructSampledFn(e,t,a,c){const l=1<<n,f=new Float64Array(l).fill(1),g=new Uint32Array(l);let p,m,b=s,y=1;for(p=0;p<n;++p){const a=r[p][0],i=r[p][1];let n=interpolate(MathClamp(e[t+p],a,i),a,i,h[p][0],h[p][1]);const s=o[p];n=MathClamp(n,0,s-1);const c=n<s-1?Math.floor(n):n-1,u=c+1-n,d=n-c,w=c*b,x=w+b;for(m=0;m<l;m++)if(m&y){f[m]*=d;g[m]+=x}else{f[m]*=u;g[m]+=w}b*=s;y<<=1}for(m=0;m<s;++m){let e=0;for(p=0;p<l;p++)e+=d[g[p]+m]*f[p];e=interpolate(e,0,1,u[m][0],u[m][1]);a[c+m]=MathClamp(e,i[m][0],i[m][1])}}}static constructInterpolated(e,t){const a=toNumberArray(t.getArray("C0"))||[0],r=toNumberArray(t.getArray("C1"))||[1],i=t.get("N"),n=[];for(let e=0,t=a.length;e<t;++e)n.push(r[e]-a[e]);const s=n.length;return function constructInterpolatedFn(e,t,r,o){const c=1===i?e[t]:e[t]**i;for(let e=0;e<s;++e)r[o+e]=a[e]+c*n[e]}}static constructStiched(e,t){const a=toNumberArray(t.getArray("Domain"));if(!a)throw new FormatError("No domain");if(1!==a.length/2)throw new FormatError("Bad domain for stiched function");const{xref:r}=e,i=[];for(const a of t.get("Functions"))i.push(this.parse(e,r.fetchIfRef(a)));const n=toNumberArray(t.getArray("Bounds")),s=toNumberArray(t.getArray("Encode")),o=new Float32Array(1);return function constructStichedFn(e,t,r,c){const l=MathClamp(e[t],a[0],a[1]),h=n.length;let u;for(u=0;u<h&&!(l<n[u]);++u);let d=a[0];u>0&&(d=n[u-1]);let f=a[1];u<n.length&&(f=n[u]);const g=s[2*u],p=s[2*u+1];o[0]=d===f?g:g+(l-d)*(p-g)/(f-d);i[u](o,0,r,c)}}static constructPostScript(e,t,a){const r=toNumberArray(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r)throw new FormatError("No domain.");if(!i)throw new FormatError("No range.");const n=new PostScriptLexer(t),s=new PostScriptParser(n).parse();if(e.isEvalSupported&&FeatureTest.isEvalSupported){const e=(new PostScriptCompiler).compile(s,r,i);if(e)return new Function("src","srcOffset","dest","destOffset",e)}info("Unable to compile PS function");const o=i.length>>1,c=r.length>>1,l=new PostScriptEvaluator(s),h=Object.create(null);let u=8192;const d=new Float32Array(c);return function constructPostScriptFn(e,t,a,r){let n,s,f="";const g=d;for(n=0;n<c;n++){s=e[t+n];g[n]=s;f+=s+"_"}const p=h[f];if(void 0!==p){a.set(p,r);return}const m=new Float32Array(o),b=l.execute(g),y=b.length-o;for(n=0;n<o;n++){s=b[y+n];let e=i[2*n];if(s<e)s=e;else{e=i[2*n+1];s>e&&(s=e)}m[n]=s}if(u>0){u--;h[f]=m}a.set(m,r)}}}function isPDFFunction(e){let t;if(e instanceof Dict)t=e;else{if(!(e instanceof BaseStream))return!1;t=e.dict}return t.has("FunctionType")}class PostScriptStack{static MAX_STACK_SIZE=100;constructor(e){this.stack=e?Array.from(e):[]}push(e){if(this.stack.length>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");this.stack.push(e)}pop(){if(this.stack.length<=0)throw new Error("PostScript function stack underflow.");return this.stack.pop()}copy(e){if(this.stack.length+e>=PostScriptStack.MAX_STACK_SIZE)throw new Error("PostScript function stack overflow.");const t=this.stack;for(let a=t.length-e,r=e-1;r>=0;r--,a++)t.push(t[a])}index(e){this.push(this.stack[this.stack.length-e-1])}roll(e,t){const a=this.stack,r=a.length-e,i=a.length-1,n=r+(t-Math.floor(t/e)*e);for(let e=r,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=r,t=n-1;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=n,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}}}class PostScriptEvaluator{constructor(e){this.operators=e}execute(e){const t=new PostScriptStack(e);let a=0;const r=this.operators,i=r.length;let n,s,o;for(;a<i;){n=r[a++];if("number"!=typeof n)switch(n){case"jz":o=t.pop();s=t.pop();s||(a=o);break;case"j":s=t.pop();a=s;break;case"abs":s=t.pop();t.push(Math.abs(s));break;case"add":o=t.pop();s=t.pop();t.push(s+o);break;case"and":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s&&o):t.push(s&o);break;case"atan":o=t.pop();s=t.pop();s=Math.atan2(s,o)/Math.PI*180;s<0&&(s+=360);t.push(s);break;case"bitshift":o=t.pop();s=t.pop();s>0?t.push(s<<o):t.push(s>>o);break;case"ceiling":s=t.pop();t.push(Math.ceil(s));break;case"copy":s=t.pop();t.copy(s);break;case"cos":s=t.pop();t.push(Math.cos(s%360/180*Math.PI));break;case"cvi":s=0|t.pop();t.push(s);break;case"cvr":break;case"div":o=t.pop();s=t.pop();t.push(s/o);break;case"dup":t.copy(1);break;case"eq":o=t.pop();s=t.pop();t.push(s===o);break;case"exch":t.roll(2,1);break;case"exp":o=t.pop();s=t.pop();t.push(s**o);break;case"false":t.push(!1);break;case"floor":s=t.pop();t.push(Math.floor(s));break;case"ge":o=t.pop();s=t.pop();t.push(s>=o);break;case"gt":o=t.pop();s=t.pop();t.push(s>o);break;case"idiv":o=t.pop();s=t.pop();t.push(s/o|0);break;case"index":s=t.pop();t.index(s);break;case"le":o=t.pop();s=t.pop();t.push(s<=o);break;case"ln":s=t.pop();t.push(Math.log(s));break;case"log":s=t.pop();t.push(Math.log10(s));break;case"lt":o=t.pop();s=t.pop();t.push(s<o);break;case"mod":o=t.pop();s=t.pop();t.push(s%o);break;case"mul":o=t.pop();s=t.pop();t.push(s*o);break;case"ne":o=t.pop();s=t.pop();t.push(s!==o);break;case"neg":s=t.pop();t.push(-s);break;case"not":s=t.pop();"boolean"==typeof s?t.push(!s):t.push(~s);break;case"or":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s||o):t.push(s|o);break;case"pop":t.pop();break;case"roll":o=t.pop();s=t.pop();t.roll(s,o);break;case"round":s=t.pop();t.push(Math.round(s));break;case"sin":s=t.pop();t.push(Math.sin(s%360/180*Math.PI));break;case"sqrt":s=t.pop();t.push(Math.sqrt(s));break;case"sub":o=t.pop();s=t.pop();t.push(s-o);break;case"true":t.push(!0);break;case"truncate":s=t.pop();s=s<0?Math.ceil(s):Math.floor(s);t.push(s);break;case"xor":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s!==o):t.push(s^o);break;default:throw new FormatError(`Unknown operator ${n}`)}else t.push(n)}return t.stack}}class AstNode{constructor(e){this.type=e}visit(e){unreachable("abstract method")}}class AstArgument extends AstNode{constructor(e,t,a){super("args");this.index=e;this.min=t;this.max=a}visit(e){e.visitArgument(this)}}class AstLiteral extends AstNode{constructor(e){super("literal");this.number=e;this.min=e;this.max=e}visit(e){e.visitLiteral(this)}}class AstBinaryOperation extends AstNode{constructor(e,t,a,r,i){super("binary");this.op=e;this.arg1=t;this.arg2=a;this.min=r;this.max=i}visit(e){e.visitBinaryOperation(this)}}class AstMin extends AstNode{constructor(e,t){super("max");this.arg=e;this.min=e.min;this.max=t}visit(e){e.visitMin(this)}}class AstVariable extends AstNode{constructor(e,t,a){super("var");this.index=e;this.min=t;this.max=a}visit(e){e.visitVariable(this)}}class AstVariableDefinition extends AstNode{constructor(e,t){super("definition");this.variable=e;this.arg=t}visit(e){e.visitVariableDefinition(this)}}class ExpressionBuilderVisitor{constructor(){this.parts=[]}visitArgument(e){this.parts.push("Math.max(",e.min,", Math.min(",e.max,", src[srcOffset + ",e.index,"]))")}visitVariable(e){this.parts.push("v",e.index)}visitLiteral(e){this.parts.push(e.number)}visitBinaryOperation(e){this.parts.push("(");e.arg1.visit(this);this.parts.push(" ",e.op," ");e.arg2.visit(this);this.parts.push(")")}visitVariableDefinition(e){this.parts.push("var ");e.variable.visit(this);this.parts.push(" = ");e.arg.visit(this);this.parts.push(";")}visitMin(e){this.parts.push("Math.min(");e.arg.visit(this);this.parts.push(", ",e.max,")")}toString(){return this.parts.join("")}}function buildAddOperation(e,t){return"literal"===t.type&&0===t.number?e:"literal"===e.type&&0===e.number?t:"literal"===t.type&&"literal"===e.type?new AstLiteral(e.number+t.number):new AstBinaryOperation("+",e,t,e.min+t.min,e.max+t.max)}function buildMulOperation(e,t){if("literal"===t.type){if(0===t.number)return new AstLiteral(0);if(1===t.number)return e;if("literal"===e.type)return new AstLiteral(e.number*t.number)}if("literal"===e.type){if(0===e.number)return new AstLiteral(0);if(1===e.number)return t}const a=Math.min(e.min*t.min,e.min*t.max,e.max*t.min,e.max*t.max),r=Math.max(e.min*t.min,e.min*t.max,e.max*t.min,e.max*t.max);return new AstBinaryOperation("*",e,t,a,r)}function buildSubOperation(e,t){if("literal"===t.type){if(0===t.number)return e;if("literal"===e.type)return new AstLiteral(e.number-t.number)}return"binary"===t.type&&"-"===t.op&&"literal"===e.type&&1===e.number&&"literal"===t.arg1.type&&1===t.arg1.number?t.arg2:new AstBinaryOperation("-",e,t,e.min-t.max,e.max-t.min)}function buildMinOperation(e,t){return e.min>=t?new AstLiteral(t):e.max<=t?e:new AstMin(e,t)}class PostScriptCompiler{compile(e,t,a){const r=[],i=[],n=t.length>>1,s=a.length>>1;let o,c,l,h,u,d,f,g,p=0;for(let e=0;e<n;e++)r.push(new AstArgument(e,t[2*e],t[2*e+1]));for(let t=0,a=e.length;t<a;t++){g=e[t];if("number"!=typeof g)switch(g){case"add":if(r.length<2)return null;h=r.pop();l=r.pop();r.push(buildAddOperation(l,h));break;case"cvr":if(r.length<1)return 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PDFImage{constructor({xref:e,res:t,image:a,isInline:r=!1,smask:i=null,mask:n=null,isMask:s=!1,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l}){this.image=a;const h=a.dict,u=h.get("F","Filter");let d;if(u instanceof Name)d=u.name;else if(Array.isArray(u)){const t=e.fetchIfRef(u[0]);t instanceof Name&&(d=t.name)}switch(d){case"JPXDecode":({width:a.width,height:a.height,componentsCount:a.numComps,bitsPerComponent:a.bitsPerComponent}=JpxImage.parseImageProperties(a.stream));a.stream.reset();const e=ImageResizer.getReducePowerForJPX(a.width,a.height,a.numComps);this.jpxDecoderOptions={numComponents:0,isIndexedColormap:!1,smaskInData:h.has("SMaskInData"),reducePower:e};if(e){const t=2**e;a.width=Math.ceil(a.width/t);a.height=Math.ceil(a.height/t)}break;case"JBIG2Decode":a.bitsPerComponent=1;a.numComps=1}let f=h.get("W","Width"),g=h.get("H","Height");if(Number.isInteger(a.width)&&a.width>0&&Number.isInteger(a.height)&&a.height>0&&(a.width!==f||a.height!==g)){warn("PDFImage - using the Width/Height of the image data, rather than the image dictionary.");f=a.width;g=a.height}else{const e="number"==typeof f&&f>0,t="number"==typeof g&&g>0;if(!e||!t){if(!a.fallbackDims)throw new FormatError(`Invalid image width: ${f} or height: ${g}`);warn("PDFImage - using the Width/Height of the parent image, for SMask/Mask data.");e||(f=a.fallbackDims.width);t||(g=a.fallbackDims.height)}}this.width=f;this.height=g;this.interpolate=h.get("I","Interpolate");this.imageMask=h.get("IM","ImageMask")||!1;this.matte=h.get("Matte")||!1;let p=a.bitsPerComponent;if(!p){p=h.get("BPC","BitsPerComponent");if(!p){if(!this.imageMask)throw new FormatError(`Bits per component missing in image: ${this.imageMask}`);p=1}}this.bpc=p;if(!this.imageMask){let i=h.getRaw("CS")||h.getRaw("ColorSpace");const n=!!i;if(n)this.jpxDecoderOptions?.smaskInData&&(i=Name.get("DeviceRGBA"));else if(this.jpxDecoderOptions)i=Name.get("DeviceRGBA");else switch(a.numComps){case 1:i=Name.get("DeviceGray");break;case 3:i=Name.get("DeviceRGB");break;case 4:i=Name.get("DeviceCMYK");break;default:throw new Error(`Images with ${a.numComps} color components not supported.`)}this.colorSpace=ColorSpaceUtils.parse({cs:i,xref:e,resources:r?t:null,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l});this.numComps=this.colorSpace.numComps;if(this.jpxDecoderOptions){this.jpxDecoderOptions.numComponents=n?this.numComps:0;this.jpxDecoderOptions.isIndexedColormap="Indexed"===this.colorSpace.name}}this.decode=h.getArray("D","Decode");this.needsDecode=!1;if(this.decode&&(this.colorSpace&&!this.colorSpace.isDefaultDecode(this.decode,p)||s&&!ColorSpace.isDefaultDecode(this.decode,1))){this.needsDecode=!0;const e=(1<<p)-1;this.decodeCoefficients=[];this.decodeAddends=[];const t="Indexed"===this.colorSpace?.name;for(let a=0,r=0;a<this.decode.length;a+=2,++r){const i=this.decode[a],n=this.decode[a+1];this.decodeCoefficients[r]=t?(n-i)/e:n-i;this.decodeAddends[r]=t?i:e*i}}if(i){i.fallbackDims??={width:f,height:g};this.smask=new PDFImage({xref:e,res:t,image:i,isInline:r,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l})}else if(n)if(n instanceof BaseStream){if(n.dict.get("IM","ImageMask")){n.fallbackDims??={width:f,height:g};this.mask=new PDFImage({xref:e,res:t,image:n,isInline:r,isMask:!0,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l})}else warn("Ignoring /Mask in image without /ImageMask.")}else this.mask=n}static async buildImage({xref:e,res:t,image:a,isInline:r=!1,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceCache:s}){const o=a;let c=null,l=null;const h=a.dict.get("SMask"),u=a.dict.get("Mask");h?h instanceof BaseStream?c=h:warn("Unsupported /SMask format."):u&&(u instanceof BaseStream||Array.isArray(u)?l=u:warn("Unsupported /Mask format."));return new PDFImage({xref:e,res:t,image:o,isInline:r,smask:c,mask:l,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceCache:s})}static async createMask({image:e,isOffscreenCanvasSupported:t=!1}){const{dict:a}=e,r=a.get("W","Width"),i=a.get("H","Height"),n=a.get("I","Interpolate"),s=a.getArray("D","Decode"),o=s?.[0]>0,c=(r+7>>3)*i,l=e.getBytes(c),h=1===r&&1===i&&o===(0===l.length||!!(128&l[0]));if(h)return{isSingleOpaquePixel:h};if(t){if(ImageResizer.needsToBeResized(r,i)){const e=new Uint8ClampedArray(r*i*4);convertBlackAndWhiteToRGBA({src:l,dest:e,width:r,height:i,nonBlackColor:0,inverseDecode:o});return ImageResizer.createImage({kind:v,data:e,width:r,height:i,interpolate:n})}const e=new OffscreenCanvas(r,i),t=e.getContext("2d"),a=t.createImageData(r,i);convertBlackAndWhiteToRGBA({src:l,dest:a.data,width:r,height:i,nonBlackColor:0,inverseDecode:o});t.putImageData(a,0,0);return{data:null,width:r,height:i,interpolate:n,bitmap:e.transferToImageBitmap()}}const u=l.byteLength;let d;if(e instanceof DecodeStream&&(!o||c===u))d=l;else if(o){d=new Uint8Array(c);d.set(l);d.fill(255,u)}else d=new Uint8Array(l);if(o)for(let e=0;e<u;e++)d[e]^=255;return{data:d,width:r,height:i,interpolate:n}}get drawWidth(){return Math.max(this.width,this.smask?.width||0,this.mask?.width||0)}get drawHeight(){return Math.max(this.height,this.smask?.height||0,this.mask?.height||0)}decodeBuffer(e){const t=this.bpc,a=this.numComps,r=this.decodeAddends,i=this.decodeCoefficients,n=(1<<t)-1;let s,o;if(1===t){for(s=0,o=e.length;s<o;s++)e[s]=+!e[s];return}let c=0;for(s=0,o=this.width*this.height;s<o;s++)for(let t=0;t<a;t++){e[c]=MathClamp(r[t]+e[c]*i[t],0,n);c++}}getComponents(e){const t=this.bpc;if(8===t)return e;const a=this.width,r=this.height,i=this.numComps,n=a*r*i;let s,o=0;s=t<=8?new Uint8Array(n):t<=16?new Uint16Array(n):new Uint32Array(n);const c=a*i,l=(1<<t)-1;let h,u,d=0;if(1===t){let t,a,i;for(let n=0;n<r;n++){a=d+(-8&c);i=d+c;for(;d<a;){u=e[o++];s[d]=u>>7&1;s[d+1]=u>>6&1;s[d+2]=u>>5&1;s[d+3]=u>>4&1;s[d+4]=u>>3&1;s[d+5]=u>>2&1;s[d+6]=u>>1&1;s[d+7]=1&u;d+=8}if(d<i){u=e[o++];t=128;for(;d<i;){s[d++]=+!!(u&t);t>>=1}}}}else{let a=0;u=0;for(d=0,h=n;d<h;++d){if(d%c==0){u=0;a=0}for(;a<t;){u=u<<8|e[o++];a+=8}const r=a-t;let i=u>>r;i<0?i=0:i>l&&(i=l);s[d]=i;u&=(1<<r)-1;a=r}}return s}async fillOpacity(e,t,a,r,i){const n=this.smask,s=this.mask;let o,c,l,h,u,d;if(n){c=n.width;l=n.height;o=new Uint8ClampedArray(c*l);await n.fillGrayBuffer(o);c===t&&l===a||(o=resizeImageMask(o,n.bpc,c,l,t,a))}else if(s)if(s instanceof PDFImage){c=s.width;l=s.height;o=new Uint8ClampedArray(c*l);s.numComps=1;await s.fillGrayBuffer(o);for(h=0,u=c*l;h<u;++h)o[h]=255-o[h];c===t&&l===a||(o=resizeImageMask(o,s.bpc,c,l,t,a))}else{if(!Array.isArray(s))throw new FormatError("Unknown mask format.");{o=new Uint8ClampedArray(t*a);const e=this.numComps;for(h=0,u=t*a;h<u;++h){let t=0;const a=h*e;for(d=0;d<e;++d){const e=i[a+d],r=2*d;if(e<s[r]||e>s[r+1]){t=255;break}}o[h]=t}}}if(o)for(h=0,d=3,u=t*r;h<u;++h,d+=4)e[d]=o[h];else for(h=0,d=3,u=t*r;h<u;++h,d+=4)e[d]=255}undoPreblend(e,t,a){const r=this.smask?.matte;if(!r)return;const i=this.colorSpace.getRgb(r,0),n=i[0],s=i[1],o=i[2],c=t*a*4;for(let t=0;t<c;t+=4){const a=e[t+3];if(0===a){e[t]=255;e[t+1]=255;e[t+2]=255;continue}const r=255/a;e[t]=(e[t]-n)*r+n;e[t+1]=(e[t+1]-s)*r+s;e[t+2]=(e[t+2]-o)*r+o}}async createImageData(e=!1,t=!1){const a=this.drawWidth,r=this.drawHeight,i={width:a,height:r,interpolate:this.interpolate,kind:0,data:null},n=this.numComps,s=this.width,o=this.height,c=this.bpc,l=s*n*c+7>>3,h=t&&ImageResizer.needsToBeResized(a,r);if(!this.smask&&!this.mask&&"DeviceRGBA"===this.colorSpace.name){i.kind=v;const e=i.data=await this.getImageBytes(o*s*4,{});return t?h?ImageResizer.createImage(i,!1):this.createBitmap(v,a,r,e):i}if(!e){let e;"DeviceGray"===this.colorSpace.name&&1===c?e=k:"DeviceRGB"!==this.colorSpace.name||8!==c||this.needsDecode||(e=C);if(e&&!this.smask&&!this.mask&&a===s&&r===o){const n=await this.#$(s,o);if(n)return n;const c=await this.getImageBytes(o*l,{});if(t)return h?ImageResizer.createImage({data:c,kind:e,width:a,height:r,interpolate:this.interpolate},this.needsDecode):this.createBitmap(e,s,o,c);i.kind=e;i.data=c;if(this.needsDecode){assert(e===k,"PDFImage.createImageData: The image must be grayscale.");const t=i.data;for(let e=0,a=t.length;e<a;e++)t[e]^=255}return i}if(this.image instanceof JpegStream&&!this.smask&&!this.mask&&!this.needsDecode){let e=o*l;if(t&&!h){let t=!1;switch(this.colorSpace.name){case"DeviceGray":e*=4;t=!0;break;case"DeviceRGB":e=e/3*4;t=!0;break;case"DeviceCMYK":t=!0}if(t){const t=await this.#$(a,r);if(t)return t;const i=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGBA:!0});return this.createBitmap(v,a,r,i)}}else switch(this.colorSpace.name){case"DeviceGray":e*=3;case"DeviceRGB":case"DeviceCMYK":i.kind=C;i.data=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGB:!0});return h?ImageResizer.createImage(i):i}}}const u=await this.getImageBytes(o*l,{internal:!0}),d=0|u.length/l*r/o,f=this.getComponents(u);let g,p,m,b,y,w;if(t&&!h){m=new OffscreenCanvas(a,r);b=m.getContext("2d");y=b.createImageData(a,r);w=y.data}i.kind=v;if(e||this.smask||this.mask){t&&!h||(w=new Uint8ClampedArray(a*r*4));g=1;p=!0;await this.fillOpacity(w,a,r,d,f)}else{if(!t||h){i.kind=C;w=new Uint8ClampedArray(a*r*3);g=0}else{new Uint32Array(w.buffer).fill(FeatureTest.isLittleEndian?4278190080:255);g=1}p=!1}this.needsDecode&&this.decodeBuffer(f);this.colorSpace.fillRgb(w,s,o,a,r,d,c,f,g);p&&this.undoPreblend(w,a,d);if(t&&!h){b.putImageData(y,0,0);return{data:null,width:a,height:r,bitmap:m.transferToImageBitmap(),interpolate:this.interpolate}}i.data=w;return h?ImageResizer.createImage(i):i}async fillGrayBuffer(e){const t=this.numComps;if(1!==t)throw new FormatError(`Reading gray scale from a color image: ${t}`);const a=this.width,r=this.height,i=this.bpc,n=a*t*i+7>>3,s=await this.getImageBytes(r*n,{internal:!0}),o=this.getComponents(s);let c,l;if(1===i){l=a*r;if(this.needsDecode)for(c=0;c<l;++c)e[c]=o[c]-1&255;else for(c=0;c<l;++c)e[c]=255&-o[c];return}this.needsDecode&&this.decodeBuffer(o);l=a*r;const h=255/((1<<i)-1);for(c=0;c<l;++c)e[c]=h*o[c]}createBitmap(e,t,a,r){const i=new OffscreenCanvas(t,a),n=i.getContext("2d");let s;if(e===v)s=new ImageData(r,t,a);else{s=n.createImageData(t,a);convertToRGBA({kind:e,src:r,dest:new Uint32Array(s.data.buffer),width:t,height:a,inverseDecode:this.needsDecode})}n.putImageData(s,0,0);return{data:null,width:t,height:a,bitmap:i.transferToImageBitmap(),interpolate:this.interpolate}}async#$(e,t){const a=await this.image.getTransferableImage();return a?{data:null,width:e,height:t,bitmap:a,interpolate:this.interpolate}:null}async getImageBytes(e,{drawWidth:t,drawHeight:a,forceRGBA:r=!1,forceRGB:i=!1,internal:n=!1}){this.image.reset();this.image.drawWidth=t||this.width;this.image.drawHeight=a||this.height;this.image.forceRGBA=!!r;this.image.forceRGB=!!i;const s=await this.image.getImageData(e,this.jpxDecoderOptions);if(n||this.image instanceof DecodeStream)return s;assert(s instanceof Uint8Array,\'PDFImage.getImageBytes: Unsupported "imageBytes" type.\');return new Uint8Array(s)}}const Bn=Object.freeze({maxImageSize:-1,disableFontFace:!1,ignoreErrors:!1,isEvalSupported:!0,isOffscreenCanvasSupported:!1,isImageDecoderSupported:!1,canvasMaxAreaInBytes:-1,fontExtraProperties:!1,useSystemFonts:!0,useWasm:!0,useWorkerFetch:!0,cMapUrl:null,iccUrl:null,standardFontDataUrl:null,wasmUrl:null}),Rn=1,Nn=2,En=Promise.resolve();function normalizeBlendMode(e,t=!1){if(Array.isArray(e)){for(const t of e){const e=normalizeBlendMode(t,!0);if(e)return e}warn(`Unsupported blend mode Array: ${e}`);return"source-over"}if(!(e instanceof Name))return t?null:"source-over";switch(e.name){case"Normal":case"Compatible":return"source-over";case"Multiply":return"multiply";case"Screen":return"screen";case"Overlay":return"overlay";case"Darken":return"darken";case"Lighten":return"lighten";case"ColorDodge":return"color-dodge";case"ColorBurn":return"color-burn";case"HardLight":return"hard-light";case"SoftLight":return"soft-light";case"Difference":return"difference";case"Exclusion":return"exclusion";case"Hue":return"hue";case"Saturation":return"saturation";case"Color":return"color";case"Luminosity":return"luminosity"}if(t)return null;warn(`Unsupported blend mode: ${e.name}`);return"source-over"}function addCachedImageOps(e,{objId:t,fn:a,args:r,optionalContent:i,hasMask:n}){t&&e.addDependency(t);e.addImageOps(a,r,i,n);a===Vt&&r[0]?.count>0&&r[0].count++}class TimeSlotManager{static TIME_SLOT_DURATION_MS=20;static CHECK_TIME_EVERY=100;constructor(){this.reset()}check(){if(++this.checked<TimeSlotManager.CHECK_TIME_EVERY)return!1;this.checked=0;return this.endTime<=Date.now()}reset(){this.endTime=Date.now()+TimeSlotManager.TIME_SLOT_DURATION_MS;this.checked=0}}class PartialEvaluator{constructor({xref:e,handler:t,pageIndex:a,idFactory:r,fontCache:i,builtInCMapCache:n,standardFontDataCache:s,globalColorSpaceCache:o,globalImageCache:c,systemFontCache:l,options:h=null}){this.xref=e;this.handler=t;this.pageIndex=a;this.idFactory=r;this.fontCache=i;this.builtInCMapCache=n;this.standardFontDataCache=s;this.globalColorSpaceCache=o;this.globalImageCache=c;this.systemFontCache=l;this.options=h||Bn;this.type3FontRefs=null;this._regionalImageCache=new RegionalImageCache;this._fetchBuiltInCMapBound=this.fetchBuiltInCMap.bind(this)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.options.isEvalSupported}))}get parsingType3Font(){return!!this.type3FontRefs}clone(e=null){const t=Object.create(this);t.options=Object.assign(Object.create(null),this.options,e);return t}hasBlendModes(e,t){if(!(e instanceof Dict))return!1;if(e.objId&&t.has(e.objId))return!1;const a=new RefSet(t);e.objId&&a.put(e.objId);const r=[e],i=this.xref;for(;r.length;){const e=r.shift(),t=e.get("ExtGState");if(t instanceof Dict)for(let e of t.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.fetch(e)}catch(t){a.put(e);info(`hasBlendModes - ignoring ExtGState: "${t}".`);continue}}if(!(e instanceof Dict))continue;e.objId&&a.put(e.objId);const t=e.get("BM");if(t instanceof Name){if("Normal"!==t.name)return!0}else if(void 0!==t&&Array.isArray(t))for(const e of t)if(e instanceof Name&&"Normal"!==e.name)return!0}const n=e.get("XObject");if(n instanceof Dict)for(let e of n.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.fetch(e)}catch(t){a.put(e);info(`hasBlendModes - ignoring XObject: "${t}".`);continue}}if(!(e instanceof BaseStream))continue;e.dict.objId&&a.put(e.dict.objId);const t=e.dict.get("Resources");if(t instanceof Dict&&(!t.objId||!a.has(t.objId))){r.push(t);t.objId&&a.put(t.objId)}}}for(const e of a)t.put(e);return!1}async fetchBuiltInCMap(e){const t=this.builtInCMapCache.get(e);if(t)return t;let a;a=this.options.useWorkerFetch?{cMapData:await fetchBinaryData(`${this.options.cMapUrl}${e}.bcmap`),isCompressed:!0}:await this.handler.sendWithPromise("FetchBinaryData",{type:"cMapReaderFactory",name:e});this.builtInCMapCache.set(e,a);return a}async fetchStandardFontData(e){const t=this.standardFontDataCache.get(e);if(t)return new Stream(t);if(this.options.useSystemFonts&&"Symbol"!==e&&"ZapfDingbats"!==e)return null;const a=Yr()[e];let r;try{r=this.options.useWorkerFetch?await fetchBinaryData(`${this.options.standardFontDataUrl}${a}`):await this.handler.sendWithPromise("FetchBinaryData",{type:"standardFontDataFactory",filename:a})}catch(e){warn(e);return null}this.standardFontDataCache.set(e,r);return new Stream(r)}async buildFormXObject(e,t,a,r,i,n,s,o){const{dict:c}=t,l=lookupMatrix(c.getArray("Matrix"),null),h=lookupNormalRect(c.getArray("BBox"),null);let u,d;c.has("OC")&&(u=await this.parseMarkedContentProps(c.get("OC"),e));void 0!==u&&r.addOp(jt,["OC",u]);const f=c.get("Group");if(f){d={matrix:l,bbox:h,smask:a,isolated:!1,knockout:!1};let t=null;if(isName(f.get("S"),"Transparency")){d.isolated=f.get("I")||!1;d.knockout=f.get("K")||!1;if(f.has("CS")){const a=this._getColorSpace(f.getRaw("CS"),e,s);t=a instanceof ColorSpace?a:await this._handleColorSpace(a)}}if(a?.backdrop){t||=ColorSpaceUtils.rgb;a.backdrop=t.getRgbHex(a.backdrop,0)}r.addOp(Wt,[d])}const g=[l&&new Float32Array(l),!f&&h&&new Float32Array(h)||null];r.addOp(qt,g);const p=c.get("Resources");await this.getOperatorList({stream:t,task:i,resources:p instanceof Dict?p:e,operatorList:r,initialState:n,prevRefs:o});r.addOp(Ht,[]);f&&r.addOp(zt,[d]);void 0!==u&&r.addOp(_t,[])}_sendImgData(e,t,a=!1){const r=t?[t.bitmap||t.data.buffer]:null;return this.parsingType3Font||a?this.handler.send("commonobj",[e,"Image",t],r):this.handler.send("obj",[e,this.pageIndex,"Image",t],r)}async buildPaintImageXObject({resources:e,image:t,isInline:a=!1,operatorList:r,cacheKey:i,localImageCache:n,localColorSpaceCache:s}){const{maxImageSize:o,ignoreErrors:c,isOffscreenCanvasSupported:l}=this.options,{dict:h}=t,u=h.objId,d=h.get("W","Width"),f=h.get("H","Height");if(!d||"number"!=typeof d||!f||"number"!=typeof f){warn("Image dimensions are missing, or not numbers.");return}if(-1!==o&&d*f>o){const e="Image exceeded maximum allowed size and was removed.";if(!c)throw new Error(e);warn(e);return}let g;h.has("OC")&&(g=await this.parseMarkedContentProps(h.get("OC"),e));let p,m,b;if(h.get("IM","ImageMask")||!1){p=await PDFImage.createMask({image:t,isOffscreenCanvasSupported:l&&!this.parsingType3Font});if(p.isSingleOpaquePixel){m=ta;b=[];r.addImageOps(m,b,g);if(i){const e={fn:m,args:b,optionalContent:g};n.set(i,u,e);u&&this._regionalImageCache.set(null,u,e)}return}if(this.parsingType3Font){b=function compileType3Glyph({data:e,width:t,height:a}){if(t>1e3||a>1e3)return null;const r=new Uint8Array([0,2,4,0,1,0,5,4,8,10,0,8,0,2,1,0]),i=t+1,n=new Uint8Array(i*(a+1));let s,o,c;const l=t+7&-8,h=new Uint8Array(l*a);let u=0;for(const t of e){let e=128;for(;e>0;){h[u++]=t&e?0:255;e>>=1}}let d=0;u=0;if(0!==h[u]){n[0]=1;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[o]=h[u]?2:1;++d}u++}if(0!==h[u]){n[o]=2;++d}for(s=1;s<a;s++){u=s*l;c=s*i;if(h[u-l]!==h[u]){n[c]=h[u]?1:8;++d}let e=(h[u]?4:0)+(h[u-l]?8:0);for(o=1;o<t;o++){e=(e>>2)+(h[u+1]?4:0)+(h[u-l+1]?8:0);if(r[e]){n[c+o]=r[e];++d}u++}if(h[u-l]!==h[u]){n[c+o]=h[u]?2:4;++d}if(d>1e3)return null}u=l*(a-1);c=s*i;if(0!==h[u]){n[c]=8;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[c+o]=h[u]?4:8;++d}u++}if(0!==h[u]){n[c+o]=4;++d}if(d>1e3)return null;const f=new Int32Array([0,i,-1,0,-i,0,0,0,1]),g=[],{a:p,b:m,c:b,d:y,e:w,f:x}=(new DOMMatrix).scaleSelf(1/t,-1/a).translateSelf(0,-a);for(s=0;d&&s<=a;s++){let e=s*i;const a=e+t;for(;e<a&&!n[e];)e++;if(e===a)continue;let r=e%i,o=s;g.push(sa,p*r+b*o+w,m*r+y*o+x);const c=e;let l=n[e];do{const t=f[l];do{e+=t}while(!n[e]);const a=n[e];if(5!==a&&10!==a){l=a;n[e]=0}else{l=a&51*l>>4;n[e]&=l>>2|l<<2}r=e%i;o=e/i|0;g.push(oa,p*r+b*o+w,m*r+y*o+x);n[e]||--d}while(c!==e);--s}return[na,[new Float32Array(g)],new Float32Array([0,0,t,a])]}(p);if(b){r.addImageOps(aa,b,g);return}warn("Cannot compile Type3 glyph.");r.addImageOps(Vt,[p],g);return}const e=`mask_${this.idFactory.createObjId()}`;r.addDependency(e);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;this._sendImgData(e,p);m=Vt;b=[{data:e,width:p.width,height:p.height,interpolate:p.interpolate,count:1}];r.addImageOps(m,b,g);if(i){const t={objId:e,fn:m,args:b,optionalContent:g};n.set(i,u,t);u&&this._regionalImageCache.set(null,u,t)}return}const y=h.has("SMask")||h.has("Mask");if(a&&d+f<200&&!y){try{const i=new PDFImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s});p=await i.createImageData(!0,!1);r.addImageOps(Yt,[p],g)}catch(e){const t=`Unable to decode inline image: "${e}".`;if(!c)throw new Error(t);warn(t)}return}let w=`img_${this.idFactory.createObjId()}`,x=!1,S=null;if(this.parsingType3Font)w=`${this.idFactory.getDocId()}_type3_${w}`;else if(i&&u){x=this.globalImageCache.shouldCache(u,this.pageIndex);if(x){assert(!a,"Cannot cache an inline image globally.");w=`${this.idFactory.getDocId()}_${w}`}}r.addDependency(w);m=Jt;b=[w,d,f];r.addImageOps(m,b,g,y);if(x){S={objId:w,fn:m,args:b,optionalContent:g,hasMask:y,byteSize:0};if(this.globalImageCache.hasDecodeFailed(u)){this.globalImageCache.setData(u,S);this._sendImgData(w,null,x);return}if(d*f>25e4||y){const e=await this.handler.sendWithPromise("commonobj",[w,"CopyLocalImage",{imageRef:u}]);if(e){this.globalImageCache.setData(u,S);this.globalImageCache.addByteSize(u,e);return}}}PDFImage.buildImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s}).then((async e=>{p=await e.createImageData(!1,l);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;p.ref=u;x&&this.globalImageCache.addByteSize(u,p.dataLen);return this._sendImgData(w,p,x)})).catch((e=>{warn(`Unable to decode image "${w}": "${e}".`);u&&this.globalImageCache.addDecodeFailed(u);return this._sendImgData(w,null,x)}));if(i){const e={objId:w,fn:m,args:b,optionalContent:g,hasMask:y};n.set(i,u,e);if(u){this._regionalImageCache.set(null,u,e);if(x){assert(S,"The global cache-data must be available.");this.globalImageCache.setData(u,S)}}}}handleSMask(e,t,a,r,i,n,s){const o=e.get("G"),c={subtype:e.get("S").name,backdrop:e.get("BC")},l=e.get("TR");if(isPDFFunction(l)){const e=this._pdfFunctionFactory.create(l),t=new Uint8Array(256),a=new Float32Array(1);for(let r=0;r<256;r++){a[0]=r/255;e(a,0,a,0);t[r]=255*a[0]|0}c.transferMap=t}return this.buildFormXObject(t,o,c,a,r,i.state.clone({newPath:!0}),n,s)}handleTransferFunction(e){let t;if(Array.isArray(e))t=e;else{if(!isPDFFunction(e))return null;t=[e]}const a=[];let r=0,i=0;for(const e of t){const t=this.xref.fetchIfRef(e);r++;if(isName(t,"Identity")){a.push(null);continue}if(!isPDFFunction(t))return null;const n=this._pdfFunctionFactory.create(t),s=new Uint8Array(256),o=new Float32Array(1);for(let e=0;e<256;e++){o[0]=e/255;n(o,0,o,0);s[e]=255*o[0]|0}a.push(s);i++}return 1!==r&&4!==r||0===i?null:a}handleTilingType(e,t,a,r,i,n,s,o){const c=new OperatorList,l=Dict.merge({xref:this.xref,dictArray:[i.get("Resources"),a]});return this.getOperatorList({stream:r,task:s,resources:l,operatorList:c}).then((function(){const a=c.getIR(),r=getTilingPatternIR(a,i,t);n.addDependencies(c.dependencies);n.addOp(e,r);i.objId&&o.set(null,i.objId,{operatorListIR:a,dict:i})})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`handleTilingType - ignoring pattern: "${e}".`)}}))}async handleSetFont(e,t,a,r,i,n,s=null,o=null){const c=t?.[0]instanceof Name?t[0].name:null,l=await this.loadFont(c,a,e,i,s,o);l.font.isType3Font&&r.addDependencies(l.type3Dependencies);n.font=l.font;l.send(this.handler);return l.loadedName}handleText(e,t){const a=t.font,r=a.charsToGlyphs(e);if(a.data){(!!(t.textRenderingMode&S)||"Pattern"===t.fillColorSpace.name||a.disableFontFace)&&PartialEvaluator.buildFontPaths(a,r,this.handler,this.options)}return r}ensureStateFont(e){if(e.font)return;const t=new FormatError("Missing setFont (Tf) operator before text rendering operator.");if(!this.options.ignoreErrors)throw t;warn(`ensureStateFont: "${t}".`)}async setGState({resources:e,gState:t,operatorList:a,cacheKey:r,task:i,stateManager:n,localGStateCache:s,localColorSpaceCache:o,seenRefs:c}){const l=t.objId;let h=!0;const u=[];let d=Promise.resolve();for(const[r,s]of t)switch(r){case"Type":break;case"LW":if("number"!=typeof s){warn(`Invalid LW (line width): ${s}`);break}u.push([r,Math.abs(s)]);break;case"LC":case"LJ":case"ML":case"D":case"RI":case"FL":case"CA":case"ca":u.push([r,s]);break;case"Font":h=!1;d=d.then((()=>this.handleSetFont(e,null,s[0],a,i,n.state).then((function(e){a.addDependency(e);u.push([r,[e,s[1]]])}))));break;case"BM":u.push([r,normalizeBlendMode(s)]);break;case"SMask":if(isName(s,"None")){u.push([r,!1]);break}if(s instanceof Dict){h=!1;d=d.then((()=>this.handleSMask(s,e,a,i,n,o,c)));u.push([r,!0])}else warn("Unsupported SMask type");break;case"TR":const t=this.handleTransferFunction(s);u.push([r,t]);break;case"OP":case"op":case"OPM":case"BG":case"BG2":case"UCR":case"UCR2":case"TR2":case"HT":case"SM":case"SA":case"AIS":case"TK":info("graphic state operator "+r);break;default:info("Unknown graphic state operator "+r)}await d;u.length>0&&a.addOp(De,[u]);h&&s.set(r,l,u)}loadFont(e,t,a,r,i=null,n=null){const errorFont=async()=>new TranslatedFont({loadedName:"g_font_error",font:new ErrorFont(`Font "${e}" is not available.`),dict:t});let s;if(t)t instanceof Ref&&(s=t);else{const t=a.get("Font");t&&(s=t.getRaw(e))}if(s){if(this.type3FontRefs?.has(s))return errorFont();if(this.fontCache.has(s))return this.fontCache.get(s);try{t=this.xref.fetchIfRef(s)}catch(e){warn(`loadFont - lookup failed: "${e}".`)}}if(!(t instanceof Dict)){if(!this.options.ignoreErrors&&!this.parsingType3Font){warn(`Font "${e}" is not available.`);return errorFont()}warn(`Font "${e}" is not available -- attempting to fallback to a default font.`);t=i||PartialEvaluator.fallbackFontDict}if(t.cacheKey&&this.fontCache.has(t.cacheKey))return this.fontCache.get(t.cacheKey);const{promise:o,resolve:c}=Promise.withResolvers();let l;try{l=this.preEvaluateFont(t);l.cssFontInfo=n}catch(e){warn(`loadFont - preEvaluateFont failed: "${e}".`);return errorFont()}const{descriptor:h,hash:u}=l,d=s instanceof Ref;let f;if(u&&h instanceof Dict){const e=h.fontAliases||=Object.create(null);if(e[u]){const t=e[u].aliasRef;if(d&&t&&this.fontCache.has(t)){this.fontCache.putAlias(s,t);return this.fontCache.get(s)}}else e[u]={fontID:this.idFactory.createFontId()};d&&(e[u].aliasRef=s);f=e[u].fontID}else f=this.idFactory.createFontId();assert(f?.startsWith("f"),\'The "fontID" must be (correctly) defined.\');if(d)this.fontCache.put(s,o);else{t.cacheKey=`cacheKey_${f}`;this.fontCache.put(t.cacheKey,o)}t.loadedName=`${this.idFactory.getDocId()}_${f}`;this.translateFont(l).then((async e=>{const i=new TranslatedFont({loadedName:t.loadedName,font:e,dict:t});if(e.isType3Font)try{await i.loadType3Data(this,a,r)}catch(e){throw new Error(`Type3 font load error: ${e}`)}c(i)})).catch((e=>{warn(`loadFont - translateFont failed: "${e}".`);c(new TranslatedFont({loadedName:t.loadedName,font:new ErrorFont(e?.message),dict:t}))}));return o}buildPath(e,t,a){const{pathMinMax:r,pathBuffer:i}=a;switch(0|e){case Xe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1],s=t[2],o=t[3],c=e+s,l=n+o;0===s||0===o?i.push(sa,e,n,oa,c,l,la):i.push(sa,e,n,oa,c,n,oa,c,l,oa,e,l,la);Util.rectBoundingBox(e,n,c,l,r);break}case Ee:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(sa,e,n);Util.pointBoundingBox(e,n,r);break}case Pe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(oa,e,n);Util.pointBoundingBox(e,n,r);break}case Le:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l,h,u]=t;a.currentPointX=h;a.currentPointY=u;i.push(ca,s,o,c,l,h,u);Util.bezierBoundingBox(e,n,s,o,c,l,h,u,r);break}case je:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,e,n,s,o,c,l);Util.bezierBoundingBox(e,n,e,n,s,o,c,l,r);break}case _e:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,s,o,c,l,c,l);Util.bezierBoundingBox(e,n,s,o,c,l,c,l,r);break}case Ue:i.push(la)}}_getColorSpace(e,t,a){return ColorSpaceUtils.parse({cs:e,xref:this.xref,resources:t,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:a,asyncIfNotCached:!0})}async _handleColorSpace(e){try{return await e}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`_handleColorSpace - ignoring ColorSpace: "${e}".`);return null}throw e}}parseShading({shading:e,resources:t,localColorSpaceCache:a,localShadingPatternCache:r}){let i,n=r.get(e);if(n)return n;try{i=Pattern.parseShading(e,this.xref,t,this._pdfFunctionFactory,this.globalColorSpaceCache,a).getIR()}catch(t){if(t instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`parseShading - ignoring shading: "${t}".`);r.set(e,null);return null}throw t}n=`pattern_${this.idFactory.createObjId()}`;this.parsingType3Font&&(n=`${this.idFactory.getDocId()}_type3_${n}`);r.set(e,n);this.parsingType3Font?this.handler.send("commonobj",[n,"Pattern",i]):this.handler.send("obj",[n,this.pageIndex,"Pattern",i]);return n}handleColorN(e,t,a,r,i,n,s,o,c,l){const h=a.pop();if(h instanceof Name){const u=i.getRaw(h.name),d=u instanceof Ref&&c.getByRef(u);if(d)try{const i=r.base?r.base.getRgbHex(a,0):null,n=getTilingPatternIR(d.operatorListIR,d.dict,i);e.addOp(t,n);return}catch{}const f=this.xref.fetchIfRef(u);if(f){const i=f instanceof BaseStream?f.dict:f,h=i.get("PatternType");if(h===Rn){const o=r.base?r.base.getRgbHex(a,0):null;return this.handleTilingType(t,o,n,f,i,e,s,c)}if(h===Nn){const a=i.get("Shading"),r=this.parseShading({shading:a,resources:n,localColorSpaceCache:o,localShadingPatternCache:l});if(r){const a=lookupMatrix(i.getArray("Matrix"),null);e.addOp(t,["Shading",r,a])}return}throw new FormatError(`Unknown PatternType: ${h}`)}}throw new FormatError(`Unknown PatternName: ${h}`)}_parseVisibilityExpression(e,t,a){if(++t>10){warn("Visibility expression is too deeply nested");return}const r=e.length,i=this.xref.fetchIfRef(e[0]);if(!(r<2)&&i instanceof Name){switch(i.name){case"And":case"Or":case"Not":a.push(i.name);break;default:warn(`Invalid operator ${i.name} in visibility expression`);return}for(let i=1;i<r;i++){const r=e[i],n=this.xref.fetchIfRef(r);if(Array.isArray(n)){const e=[];a.push(e);this._parseVisibilityExpression(n,t,e)}else r instanceof Ref&&a.push(r.toString())}}else warn("Invalid visibility expression")}async parseMarkedContentProps(e,t){let a;if(e instanceof Name){a=t.get("Properties").get(e.name)}else{if(!(e instanceof Dict))throw new FormatError("Optional content properties malformed.");a=e}const r=a.get("Type")?.name;if("OCG"===r)return{type:r,id:a.objId};if("OCMD"===r){const e=a.get("VE");if(Array.isArray(e)){const t=[];this._parseVisibilityExpression(e,0,t);if(t.length>0)return{type:"OCMD",expression:t}}const t=a.get("OCGs");if(Array.isArray(t)||t instanceof Dict){const e=[];if(Array.isArray(t))for(const a of t)e.push(a.toString());else e.push(t.objId);return{type:r,ids:e,policy:a.get("P")instanceof Name?a.get("P").name:null,expression:null}}if(t instanceof Ref)return{type:r,id:t.toString()}}return null}getOperatorList({stream:e,task:t,resources:a,operatorList:r,initialState:i=null,fallbackFontDict:n=null,prevRefs:s=null}){const o=e.dict?.objId,c=new RefSet(s);if(o){if(s?.has(o))throw new Error(`getOperatorList - ignoring circular reference: ${o}`);c.put(o)}a||=Dict.empty;i||=new EvalState;if(!r)throw new Error(\'getOperatorList: missing "operatorList" parameter\');const l=this,h=this.xref,u=new LocalImageCache,d=new LocalColorSpaceCache,f=new LocalGStateCache,g=new LocalTilingPatternCache,p=new Map,m=a.get("XObject")||Dict.empty,b=a.get("Pattern")||Dict.empty,y=new StateManager(i),w=new EvaluatorPreprocessor(e,h,y),x=new TimeSlotManager;function closePendingRestoreOPS(e){for(let e=0,t=w.savedStatesDepth;e<t;e++)r.addOp(Re,[])}return new Promise((function promiseBody(e,i){const next=function(t){Promise.all([t,r.ready]).then((function(){try{promiseBody(e,i)}catch(e){i(e)}}),i)};t.ensureNotTerminated();x.reset();const s={};let o,S,k,C,v,F;for(;!(o=x.check());){s.args=null;if(!w.read(s))break;let e=s.args,i=s.fn;switch(0|i){case Nt:F=e[0]instanceof Name;v=e[0].name;if(F){const t=u.getByName(v);if(t){addCachedImageOps(r,t);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("XObject must be referred to by name.");let n=m.getRaw(v);if(n instanceof Ref){const t=u.getByRef(n)||l._regionalImageCache.getByRef(n)||l.globalImageCache.getData(n,l.pageIndex);if(t){addCachedImageOps(r,t);e();return}n=h.fetch(n)}if(!(n instanceof BaseStream))throw new FormatError("XObject should be a stream");const s=n.dict.get("Subtype");if(!(s instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==s.name)if("Image"!==s.name){if("PS"!==s.name)throw new FormatError(`Unhandled XObject subtype ${s.name}`);info("Ignored XObject subtype PS");e()}else l.buildPaintImageXObject({resources:a,image:n,operatorList:r,cacheKey:v,localImageCache:u,localColorSpaceCache:d}).then(e,i);else{y.save();l.buildFormXObject(a,n,null,r,t,y.state.clone({newPath:!0}),d,c).then((function(){y.restore();e()}),i)}})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring XObject: "${e}".`)}})));return;case nt:const s=e[1];next(l.handleSetFont(a,e,null,r,t,y.state,n).then((function(e){r.addDependency(e);r.addOp(nt,[e,s])})));return;case Rt:const o=e[0].cacheKey;if(o){const t=u.getByName(o);if(t){addCachedImageOps(r,t);e=null;continue}}next(l.buildPaintImageXObject({resources:a,image:e[0],isInline:!0,operatorList:r,cacheKey:o,localImageCache:u,localColorSpaceCache:d}));return;case dt:if(!y.state.font){l.ensureStateFont(y.state);continue}e[0]=l.handleText(e[0],y.state);break;case ft:if(!y.state.font){l.ensureStateFont(y.state);continue}const w=[],x=y.state;for(const t of e[0])"string"==typeof t?w.push(...l.handleText(t,x)):"number"==typeof t&&w.push(t);e[0]=w;i=dt;break;case gt:if(!y.state.font){l.ensureStateFont(y.state);continue}r.addOp(ut);e[0]=l.handleText(e[0],y.state);i=dt;break;case pt:if(!y.state.font){l.ensureStateFont(y.state);continue}r.addOp(ut);r.addOp(at,[e.shift()]);r.addOp(tt,[e.shift()]);e[0]=l.handleText(e[0],y.state);i=dt;break;case st:y.state.textRenderingMode=e[0];break;case wt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.fillColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.fillColorSpace=e||ColorSpaceUtils.gray})));return}case yt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.strokeColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.strokeColorSpace=e||ColorSpaceUtils.gray})));return}case At:C=y.state.fillColorSpace;e=[C.getRgbHex(e,0)];i=It;break;case xt:C=y.state.strokeColorSpace;e=[C.getRgbHex(e,0)];i=Ft;break;case vt:y.state.fillColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break;case Ct:y.state.strokeColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break;case Ot:y.state.fillColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=It;break;case Tt:y.state.strokeColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=Ft;break;case It:y.state.fillColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case Ft:y.state.strokeColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case kt:C=y.state.patternFillColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break}e=[];i=ia;break}if("Pattern"===C.name){next(l.handleColorN(r,kt,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=It;break;case St:C=y.state.patternStrokeColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break}e=[];i=ra;break}if("Pattern"===C.name){next(l.handleColorN(r,St,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=Ft;break;case Mt:let T;try{const t=a.get("Shading");if(!t)throw new FormatError("No shading resource found");T=t.get(e[0].name);if(!T)throw new FormatError("No shading object found")}catch(e){if(e instanceof AbortException)continue;if(l.options.ignoreErrors){warn(`getOperatorList - ignoring Shading: "${e}".`);continue}throw e}const O=l.parseShading({shading:T,resources:a,localColorSpaceCache:d,localShadingPatternCache:p});if(!O)continue;e=[O];i=Mt;break;case De:F=e[0]instanceof Name;v=e[0].name;if(F){const t=f.getByName(v);if(t){t.length>0&&r.addOp(De,[t]);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("GState must be referred to by name.");const n=a.get("ExtGState");if(!(n instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const s=n.get(v);if(!(s instanceof Dict))throw new FormatError("GState should be a dictionary.");l.setGState({resources:a,gState:s,operatorList:r,cacheKey:v,task:t,stateManager:y,localGStateCache:f,localColorSpaceCache:d,seenRefs:c}).then(e,i)})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring ExtGState: "${e}".`)}})));return;case Ce:{const[t]=e;if("number"!=typeof t){warn(`Invalid setLineWidth: ${t}`);continue}e[0]=Math.abs(t);break}case Ee:case Pe:case Le:case je:case _e:case Ue:case Xe:l.buildPath(i,e,y.state);continue;case qe:case He:case We:case ze:case $e:case Ge:case Ve:case Ke:case Je:{const{state:{pathBuffer:e,pathMinMax:t}}=y;i!==He&&i!==Ve&&i!==Ke||e.push(la);if(0===e.length)r.addOp(aa,[i,[null],null]);else{r.addOp(aa,[i,[new Float32Array(e)],t.slice()]);e.length=0;t.set([1/0,1/0,-1/0,-1/0],0)}continue}case ht:r.addOp(i,[new Float32Array(e)]);continue;case Et:case Pt:case Ut:case Xt:continue;case jt:if(!(e[0]instanceof Name)){warn(`Expected name for beginMarkedContentProps arg0=${e[0]}`);r.addOp(jt,["OC",null]);continue}if("OC"===e[0].name){next(l.parseMarkedContentProps(e[1],a).then((e=>{r.addOp(jt,["OC",e])})).catch((e=>{if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring beginMarkedContentProps: "${e}".`);r.addOp(jt,["OC",null])}})));return}e=[e[0].name,e[1]instanceof Dict?e[1].get("MCID"):null];break;default:if(null!==e){for(S=0,k=e.length;S<k&&!(e[S]instanceof Dict);S++);if(S<k){warn("getOperatorList - ignoring operator: "+i);continue}}}r.addOp(i,e)}if(o)next(En);else{closePendingRestoreOPS();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring errors during "${t.name}" task: "${e}".`);closePendingRestoreOPS()}}))}getTextContent({stream:e,task:a,resources:r,stateManager:i=null,includeMarkedContent:n=!1,sink:s,seenStyles:o=new Set,viewBox:c,lang:l=null,markedContentData:h=null,disableNormalization:u=!1,keepWhiteSpace:d=!1,prevRefs:f=null,intersector:g=null}){const p=e.dict?.objId,m=new RefSet(f);if(p){if(f?.has(p))throw new Error(`getTextContent - ignoring circular reference: ${p}`);m.put(p)}r||=Dict.empty;i||=new StateManager(new TextState);n&&(h||={level:0});const b={items:[],styles:Object.create(null),lang:l},y={initialized:!1,str:[],totalWidth:0,totalHeight:0,width:0,height:0,vertical:!1,prevTransform:null,textAdvanceScale:0,spaceInFlowMin:0,spaceInFlowMax:0,trackingSpaceMin:1/0,negativeSpaceMax:-1/0,notASpace:-1/0,transform:null,fontName:null,hasEOL:!1},w=[" "," "];let x=0;function saveLastChar(e){const t=(x+1)%2,a=" "!==w[x]&&" "===w[t];w[x]=e;x=t;return!d&&a}function shouldAddWhitepsace(){return!d&&" "!==w[x]&&" "===w[(x+1)%2]}function resetLastChars(){w[0]=w[1]=" ";x=0}const S=this,k=this.xref,C=[];let v=null;const F=new LocalImageCache,T=new LocalGStateCache,O=new EvaluatorPreprocessor(e,k,i);let M;function pushWhitespace({width:e=0,height:t=0,transform:a=y.prevTransform,fontName:r=y.fontName}){g?.addExtraChar(" ");b.items.push({str:" ",dir:"ltr",width:e,height:t,transform:a,fontName:r,hasEOL:!1})}function getCurrentTextTransform(){const e=M.font,a=[M.fontSize*M.textHScale,0,0,M.fontSize,0,M.textRise];if(e.isType3Font&&(M.fontSize<=1||e.isCharBBox)&&!isArrayEqual(M.fontMatrix,t)){const t=e.bbox[3]-e.bbox[1];t>0&&(a[3]*=t*M.fontMatrix[3])}return Util.transform(M.ctm,Util.transform(M.textMatrix,a))}function ensureTextContentItem(){if(y.initialized)return y;const{font:e,loadedName:t}=M;if(!o.has(t)){o.add(t);b.styles[t]={fontFamily:e.fallbackName,ascent:e.ascent,descent:e.descent,vertical:e.vertical};if(S.options.fontExtraProperties&&e.systemFontInfo){const a=b.styles[t];a.fontSubstitution=e.systemFontInfo.css;a.fontSubstitutionLoadedName=e.systemFontInfo.loadedName}}y.fontName=t;const a=y.transform=getCurrentTextTransform();if(e.vertical){y.width=y.totalWidth=Math.hypot(a[0],a[1]);y.height=y.totalHeight=0;y.vertical=!0}else{y.width=y.totalWidth=0;y.height=y.totalHeight=Math.hypot(a[2],a[3]);y.vertical=!1}const r=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),i=Math.hypot(M.ctm[0],M.ctm[1]);y.textAdvanceScale=i*r;const{fontSize:n}=M;y.trackingSpaceMin=.102*n;y.notASpace=.03*n;y.negativeSpaceMax=-.2*n;y.spaceInFlowMin=.102*n;y.spaceInFlowMax=.6*n;y.hasEOL=!1;y.initialized=!0;return y}function updateAdvanceScale(){if(!y.initialized)return;const e=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),t=Math.hypot(M.ctm[0],M.ctm[1])*e;if(t!==y.textAdvanceScale){if(y.vertical){y.totalHeight+=y.height*y.textAdvanceScale;y.height=0}else{y.totalWidth+=y.width*y.textAdvanceScale;y.width=0}y.textAdvanceScale=t}}function runBidiTransform(e){let t=e.str.join("");u||(t=function normalizeUnicode(e){if(!ma){ma=/([\\u00a0\\u00b5\\u037e\\u0eb3\\u2000-\\u200a\\u202f\\u2126\\ufb00-\\ufb04\\ufb06\\ufb20-\\ufb36\\ufb38-\\ufb3c\\ufb3e\\ufb40-\\ufb41\\ufb43-\\ufb44\\ufb46-\\ufba1\\ufba4-\\ufba9\\ufbae-\\ufbb1\\ufbd3-\\ufbdc\\ufbde-\\ufbe7\\ufbea-\\ufbf8\\ufbfc-\\ufbfd\\ufc00-\\ufc5d\\ufc64-\\ufcf1\\ufcf5-\\ufd3d\\ufd88\\ufdf4\\ufdfa-\\ufdfb\\ufe71\\ufe77\\ufe79\\ufe7b\\ufe7d]+)|(\\ufb05+)/gu;ba=new Map([["ſt","ſt"]])}return e.replaceAll(ma,((e,t,a)=>t?t.normalize("NFKC"):ba.get(a)))}(t));const a=bidi(t,-1,e.vertical);return{str:a.str,dir:a.dir,width:Math.abs(e.totalWidth),height:Math.abs(e.totalHeight),transform:e.transform,fontName:e.fontName,hasEOL:e.hasEOL}}async function handleSetFont(e,i){const n=await S.loadFont(e,i,r,a);M.loadedName=n.loadedName;M.font=n.font;M.fontMatrix=n.font.fontMatrix||t}function applyInverseRotation(e,t,a){const r=Math.hypot(a[0],a[1]);return[(a[0]*e+a[1]*t)/r,(a[2]*e+a[3]*t)/r]}function compareWithLastPosition(e){const t=getCurrentTextTransform();let a=t[4],r=t[5];if(M.font?.vertical){if(a<c[0]||a>c[2]||r+e<c[1]||r>c[3])return!1}else if(a+e<c[0]||a>c[2]||r<c[1]||r>c[3])return!1;if(!M.font||!y.prevTransform)return!0;let i=y.prevTransform[4],n=y.prevTransform[5];if(i===a&&n===r)return!0;let s=-1;t[0]&&0===t[1]&&0===t[2]?s=t[0]>0?0:180:t[1]&&0===t[0]&&0===t[3]&&(s=t[1]>0?90:270);switch(s){case 0:break;case 90:[a,r]=[r,a];[i,n]=[n,i];break;case 180:[a,r,i,n]=[-a,-r,-i,-n];break;case 270:[a,r]=[-r,-a];[i,n]=[-n,-i];break;default:[a,r]=applyInverseRotation(a,r,t);[i,n]=applyInverseRotation(i,n,y.prevTransform)}if(M.font.vertical){const e=(n-r)/y.textAdvanceScale,t=a-i,s=Math.sign(y.height);if(e<s*y.negativeSpaceMax){if(Math.abs(t)>.5*y.width){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(t)>y.width){appendEOL();return!0}e<=s*y.notASpace&&resetLastChars();if(e<=s*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({height:Math.abs(e)})}else y.height+=e;else if(!addFakeSpaces(e,y.prevTransform,s))if(0===y.str.length){resetLastChars();pushWhitespace({height:Math.abs(e)})}else y.height+=e;Math.abs(t)>.25*y.width&&flushTextContentItem();return!0}const o=(a-i)/y.textAdvanceScale,l=r-n,h=Math.sign(y.width);if(o<h*y.negativeSpaceMax){if(Math.abs(l)>.5*y.height){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(l)>y.height){appendEOL();return!0}o<=h*y.notASpace&&resetLastChars();if(o<=h*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({width:Math.abs(o)})}else y.width+=o;else if(!addFakeSpaces(o,y.prevTransform,h))if(0===y.str.length){resetLastChars();pushWhitespace({width:Math.abs(o)})}else y.width+=o;Math.abs(l)>.25*y.height&&flushTextContentItem();return!0}function buildTextContentItem({chars:e,extraSpacing:t}){const a=M.font;if(!e){const e=M.charSpacing+t;e&&(a.vertical?M.translateTextMatrix(0,-e):M.translateTextMatrix(e*M.textHScale,0));d&&compareWithLastPosition(0);return}const r=a.charsToGlyphs(e),i=M.fontMatrix[0]*M.fontSize;for(let e=0,n=r.length;e<n;e++){const s=r[e],{category:o}=s;if(o.isInvisibleFormatMark)continue;let c=M.charSpacing+(e+1===n?t:0),l=s.width;a.vertical&&(l=s.vmetric?s.vmetric[0]:-l);let h=l*i;if(!d&&o.isWhitespace){if(a.vertical){c+=-h+M.wordSpacing;M.translateTextMatrix(0,-c)}else{c+=h+M.wordSpacing;M.translateTextMatrix(c*M.textHScale,0)}saveLastChar(" ");continue}if(!o.isZeroWidthDiacritic&&!compareWithLastPosition(h)){a.vertical?M.translateTextMatrix(0,h):M.translateTextMatrix(h*M.textHScale,0);continue}const u=ensureTextContentItem();o.isZeroWidthDiacritic&&(h=0);if(a.vertical){g?.addGlyph(getCurrentTextTransform(),0,h,s.unicode);M.translateTextMatrix(0,h);h=Math.abs(h);u.height+=h}else{h*=M.textHScale;g?.addGlyph(getCurrentTextTransform(),h,0,s.unicode);M.translateTextMatrix(h,0);u.width+=h}h&&(u.prevTransform=getCurrentTextTransform());const f=s.unicode;if(saveLastChar(f)){u.str.push(" ");g?.addExtraChar(" ")}g||u.str.push(f);c&&(a.vertical?M.translateTextMatrix(0,-c):M.translateTextMatrix(c*M.textHScale,0))}}function appendEOL(){g?.addExtraChar("\\n");resetLastChars();if(y.initialized){y.hasEOL=!0;flushTextContentItem()}else b.items.push({str:"",dir:"ltr",width:0,height:0,transform:getCurrentTextTransform(),fontName:M.loadedName,hasEOL:!0})}function addFakeSpaces(e,t,a){if(a*y.spaceInFlowMin<=e&&e<=a*y.spaceInFlowMax){if(y.initialized){resetLastChars();y.str.push(" ");g?.addExtraChar(" ")}return!1}const r=y.fontName;let i=0;if(y.vertical){i=e;e=0}flushTextContentItem();resetLastChars();pushWhitespace({width:Math.abs(e),height:Math.abs(i),transform:t||getCurrentTextTransform(),fontName:r});return!0}function flushTextContentItem(){if(y.initialized&&y.str){y.vertical?y.totalHeight+=y.height*y.textAdvanceScale:y.totalWidth+=y.width*y.textAdvanceScale;b.items.push(runBidiTransform(y));y.initialized=!1;y.str.length=0}}function enqueueChunk(e=!1){const t=b.items.length;if(0!==t&&!(e&&t<10)){s?.enqueue(b,t);b.items=[];b.styles=Object.create(null)}}const D=new TimeSlotManager;return new Promise((function promiseBody(e,t){const next=function(a){enqueueChunk(!0);Promise.all([a,s?.ready]).then((function(){try{promiseBody(e,t)}catch(e){t(e)}}),t)};a.ensureNotTerminated();D.reset();const f={};let g,p,y,w=[];for(;!(g=D.check());){w.length=0;f.args=w;if(!O.read(f))break;const e=M;M=i.state;const t=f.fn;w=f.args;switch(0|t){case nt:const t=w[0].name,f=w[1];if(M.font&&t===M.fontName&&f===M.fontSize)break;flushTextContentItem();M.fontName=t;M.fontSize=f;next(handleSetFont(t,null));return;case ot:M.textRise=w[0];break;case rt:M.textHScale=w[0]/100;break;case it:M.leading=w[0];break;case ct:M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();break;case lt:M.leading=-w[1];M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();break;case ut:M.carriageReturn();break;case ht:M.setTextMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);M.setTextLineMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);updateAdvanceScale();break;case tt:M.charSpacing=w[0];break;case at:M.wordSpacing=w[0];break;case Qe:M.textMatrix=Fa.slice();M.textLineMatrix=Fa.slice();break;case ft:if(!i.state.font){S.ensureStateFont(i.state);continue}const g=(M.font.vertical?1:-1)*M.fontSize/1e3,x=w[0];for(let e=0,t=x.length;e<t;e++){const t=x[e];if("string"==typeof t)C.push(t);else if("number"==typeof t&&0!==t){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:t*g})}}if(C.length>0){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:0})}break;case dt:if(!i.state.font){S.ensureStateFont(i.state);continue}buildTextContentItem({chars:w[0],extraSpacing:0});break;case gt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.carriageReturn();buildTextContentItem({chars:w[0],extraSpacing:0});break;case pt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.wordSpacing=w[0];M.charSpacing=w[1];M.carriageReturn();buildTextContentItem({chars:w[2],extraSpacing:0});break;case Nt:flushTextContentItem();v??=r.get("XObject")||Dict.empty;y=w[0]instanceof Name;p=w[0].name;if(y&&F.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("XObject must be referred to by name.");let f=v.getRaw(p);if(f instanceof Ref){if(F.getByRef(f)){e();return}if(S.globalImageCache.getData(f,S.pageIndex)){e();return}f=k.fetch(f)}if(!(f instanceof BaseStream))throw new FormatError("XObject should be a stream");const{dict:g}=f,b=g.get("Subtype");if(!(b instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==b.name){F.set(p,g.objId,!0);e();return}const w=i.state.clone(),x=new StateManager(w),C=lookupMatrix(g.getArray("Matrix"),null);C&&x.transform(C);const T=g.get("Resources");enqueueChunk();const O={enqueueInvoked:!1,enqueue(e,t){this.enqueueInvoked=!0;s.enqueue(e,t)},get desiredSize(){return s.desiredSize??0},get ready(){return s.ready}};S.getTextContent({stream:f,task:a,resources:T instanceof Dict?T:r,stateManager:x,includeMarkedContent:n,sink:s&&O,seenStyles:o,viewBox:c,lang:l,markedContentData:h,disableNormalization:u,keepWhiteSpace:d,prevRefs:m}).then((function(){O.enqueueInvoked||F.set(p,g.objId,!0);e()}),t)})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring XObject: "${e}".`)}})));return;case De:y=w[0]instanceof Name;p=w[0].name;if(y&&T.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("GState must be referred to by name.");const a=r.get("ExtGState");if(!(a instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const i=a.get(p);if(!(i instanceof Dict))throw new FormatError("GState should be a dictionary.");const n=i.get("Font");if(n){flushTextContentItem();M.fontName=null;M.fontSize=n[1];handleSetFont(null,n[0]).then(e,t)}else{T.set(p,i.objId,!0);e()}})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring ExtGState: "${e}".`)}})));return;case Lt:flushTextContentItem();if(n){h.level++;b.items.push({type:"beginMarkedContent",tag:w[0]instanceof Name?w[0].name:null})}break;case jt:flushTextContentItem();if(n){h.level++;let e=null;w[1]instanceof Dict&&(e=w[1].get("MCID"));b.items.push({type:"beginMarkedContentProps",id:Number.isInteger(e)?`${S.idFactory.getPageObjId()}_mc${e}`:null,tag:w[0]instanceof Name?w[0].name:null})}break;case _t:flushTextContentItem();if(n){if(0===h.level)break;h.level--;b.items.push({type:"endMarkedContent"})}break;case Re:!e||e.font===M.font&&e.fontSize===M.fontSize&&e.fontName===M.fontName||flushTextContentItem()}if(b.items.length>=(s?.desiredSize??1)){g=!0;break}}if(g)next(En);else{flushTextContentItem();enqueueChunk();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getTextContent - ignoring errors during "${a.name}" task: "${e}".`);flushTextContentItem();enqueueChunk()}}))}async extractDataStructures(e,t){const a=this.xref;let r;const i=this.readToUnicode(t.toUnicode);if(t.composite){const a=e.get("CIDSystemInfo");a instanceof Dict&&(t.cidSystemInfo={registry:stringToPDFString(a.get("Registry")),ordering:stringToPDFString(a.get("Ordering")),supplement:a.get("Supplement")});try{const t=e.get("CIDToGIDMap");t instanceof BaseStream&&(r=t.getBytes())}catch(e){if(!this.options.ignoreErrors)throw e;warn(`extractDataStructures - ignoring CIDToGIDMap data: "${e}".`)}}const n=[];let s,o=null;if(e.has("Encoding")){s=e.get("Encoding");if(s instanceof Dict){o=s.get("BaseEncoding");o=o instanceof Name?o.name:null;if(s.has("Differences")){const e=s.get("Differences");let t=0;for(const r of e){const e=a.fetchIfRef(r);if("number"==typeof e)t=e;else{if(!(e instanceof Name))throw new FormatError(`Invalid entry in \'Differences\' array: ${e}`);n[t++]=e.name}}}}else if(s instanceof Name)o=s.name;else{const e="Encoding is not a Name nor a Dict";if(!this.options.ignoreErrors)throw new FormatError(e);warn(e)}"MacRomanEncoding"!==o&&"MacExpertEncoding"!==o&&"WinAnsiEncoding"!==o&&(o=null)}const c=!t.file||t.isInternalFont,l=ei()[t.name];o&&c&&l&&(o=null);if(o)t.defaultEncoding=getEncoding(o);else{const e=!!(t.flags&Pr),a=!!(t.flags&Lr);s=Ar;"TrueType"!==t.type||a||(s=kr);if(e||l){s=Sr;c&&(/Symbol/i.test(t.name)?s=Cr:/Dingbats/i.test(t.name)?s=vr:/Wingdings/i.test(t.name)&&(s=kr))}t.defaultEncoding=s}t.differences=n;t.baseEncodingName=o;t.hasEncoding=!!o||n.length>0;t.dict=e;t.toUnicode=await i;const h=await this.buildToUnicode(t);t.toUnicode=h;r&&(t.cidToGidMap=this.readCidToGidMap(r,h));return t}_simpleFontToUnicode(e,t=!1){assert(!e.composite,"Must be a simple font.");const a=[],r=e.defaultEncoding.slice(),i=e.baseEncodingName,n=e.differences;for(const e in n){const t=n[e];".notdef"!==t&&(r[e]=t)}const s=Fr();for(const n in r){let o=r[n];if(""===o)continue;let c=s[o];if(void 0!==c){a[n]=String.fromCharCode(c);continue}let l=0;switch(o[0]){case"G":3===o.length&&(l=parseInt(o.substring(1),16));break;case"g":5===o.length&&(l=parseInt(o.substring(1),16));break;case"C":case"c":if(o.length>=3&&o.length<=4){const a=o.substring(1);if(t){l=parseInt(a,16);break}l=+a;if(Number.isNaN(l)&&Number.isInteger(parseInt(a,16)))return this._simpleFontToUnicode(e,!0)}break;case"u":c=getUnicodeForGlyph(o,s);-1!==c&&(l=c);break;default:switch(o){case"f_h":case"f_t":case"T_h":a[n]=o.replaceAll("_","");continue}}if(l>0&&l<=1114111&&Number.isInteger(l)){if(i&&l===+n){const e=getEncoding(i);if(e&&(o=e[n])){a[n]=String.fromCharCode(s[o]);continue}}a[n]=String.fromCodePoint(l)}}return a}async buildToUnicode(e){e.hasIncludedToUnicodeMap=e.toUnicode?.length>0;if(e.hasIncludedToUnicodeMap){!e.composite&&e.hasEncoding&&(e.fallbackToUnicode=this._simpleFontToUnicode(e));return e.toUnicode}if(!e.composite)return new ToUnicodeMap(this._simpleFontToUnicode(e));if(e.composite&&(e.cMap.builtInCMap&&!(e.cMap instanceof IdentityCMap)||"Adobe"===e.cidSystemInfo?.registry&&("GB1"===e.cidSystemInfo.ordering||"CNS1"===e.cidSystemInfo.ordering||"Japan1"===e.cidSystemInfo.ordering||"Korea1"===e.cidSystemInfo.ordering))){const{registry:t,ordering:a}=e.cidSystemInfo,r=Name.get(`${t}-${a}-UCS2`),i=await CMapFactory.create({encoding:r,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null}),n=[],s=[];e.cMap.forEach((function(e,t){if(t>65535)throw new FormatError("Max size of CID is 65,535");const a=i.lookup(t);if(a){s.length=0;for(let e=0,t=a.length;e<t;e+=2)s.push((a.charCodeAt(e)<<8)+a.charCodeAt(e+1));n[e]=String.fromCharCode(...s)}}));return new ToUnicodeMap(n)}return new IdentityToUnicodeMap(e.firstChar,e.lastChar)}async readToUnicode(e){if(!e)return null;if(e instanceof Name){const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});return t instanceof IdentityCMap?new IdentityToUnicodeMap(0,65535):new ToUnicodeMap(t.getMap())}if(e instanceof BaseStream)try{const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});if(t instanceof IdentityCMap)return new IdentityToUnicodeMap(0,65535);const a=new Array(t.length);t.forEach((function(e,t){if("number"==typeof t){a[e]=String.fromCodePoint(t);return}t.length%2!=0&&(t="\\0"+t);const r=[];for(let e=0;e<t.length;e+=2){const a=t.charCodeAt(e)<<8|t.charCodeAt(e+1);if(55296!=(63488&a)){r.push(a);continue}e+=2;const i=t.charCodeAt(e)<<8|t.charCodeAt(e+1);r.push(((1023&a)<<10)+(1023&i)+65536)}a[e]=String.fromCodePoint(...r)}));return new ToUnicodeMap(a)}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`readToUnicode - ignoring ToUnicode data: "${e}".`);return null}throw e}return null}readCidToGidMap(e,t){const a=[];for(let r=0,i=e.length;r<i;r++){const i=e[r++]<<8|e[r],n=r>>1;(0!==i||t.has(n))&&(a[n]=i)}return a}extractWidths(e,t,a){const r=this.xref;let i=[],n=0;const s=[];let o;if(a.composite){const t=e.get("DW");n="number"==typeof t?Math.ceil(t):1e3;const c=e.get("W");if(Array.isArray(c))for(let e=0,t=c.length;e<t;e++){let t=r.fetchIfRef(c[e++]);if(!Number.isInteger(t))break;const a=r.fetchIfRef(c[e]);if(Array.isArray(a))for(const e of a){const a=r.fetchIfRef(e);"number"==typeof a&&(i[t]=a);t++}else{if(!Number.isInteger(a))break;{const n=r.fetchIfRef(c[++e]);if("number"!=typeof n)continue;for(let e=t;e<=a;e++)i[e]=n}}}if(a.vertical){const t=e.getArray("DW2");let a=isNumberArray(t,2)?t:[880,-1e3];o=[a[1],.5*n,a[0]];a=e.get("W2");if(Array.isArray(a))for(let e=0,t=a.length;e<t;e++){let t=r.fetchIfRef(a[e++]);if(!Number.isInteger(t))break;const i=r.fetchIfRef(a[e]);if(Array.isArray(i))for(let e=0,a=i.length;e<a;e++){const a=[r.fetchIfRef(i[e++]),r.fetchIfRef(i[e++]),r.fetchIfRef(i[e])];isNumberArray(a,null)&&(s[t]=a);t++}else{if(!Number.isInteger(i))break;{const n=[r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e])];if(!isNumberArray(n,null))continue;for(let e=t;e<=i;e++)s[e]=n}}}}}else{const s=e.get("Widths");if(Array.isArray(s)){let e=a.firstChar;for(const t of s){const a=r.fetchIfRef(t);"number"==typeof a&&(i[e]=a);e++}const o=t.get("MissingWidth");n="number"==typeof o?o:0}else{const t=e.get("BaseFont");if(t instanceof Name){const e=this.getBaseFontMetrics(t.name);i=this.buildCharCodeToWidth(e.widths,a);n=e.defaultWidth}}}let c=!0,l=n;for(const e in i){const t=i[e];if(t)if(l){if(l!==t){c=!1;break}}else l=t}c?a.flags|=Nr:a.flags&=~Nr;a.defaultWidth=n;a.widths=i;a.defaultVMetrics=o;a.vmetrics=s}isSerifFont(e){const t=e.split("-",1)[0];return t in Qr()||/serif/gi.test(t)}getBaseFontMetrics(e){let t=0,a=Object.create(null),r=!1;let i=Jr()[e]||e;const n=ii();i in n||(i=this.isSerifFont(e)?"Times-Roman":"Helvetica");const s=n[i];if("number"==typeof s){t=s;r=!0}else a=s();return{defaultWidth:t,monospace:r,widths:a}}buildCharCodeToWidth(e,t){const a=Object.create(null),r=t.differences,i=t.defaultEncoding;for(let t=0;t<256;t++)t in r&&e[r[t]]?a[t]=e[r[t]]:t in i&&e[i[t]]&&(a[t]=e[i[t]]);return a}preEvaluateFont(e){const t=e;let a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");let r,i=!1;if("Type0"===a.name){const t=e.get("DescendantFonts");if(!t)throw new FormatError("Descendant fonts are not specified");if(!((e=Array.isArray(t)?this.xref.fetchIfRef(t[0]):t)instanceof Dict))throw new FormatError("Descendant font is not a dictionary.");a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");i=!0}let n=e.get("FirstChar");Number.isInteger(n)||(n=0);let s=e.get("LastChar");Number.isInteger(s)||(s=i?65535:255);const o=e.get("FontDescriptor"),c=e.get("ToUnicode")||t.get("ToUnicode");if(o){r=new MurmurHash3_64;const a=t.getRaw("Encoding");if(a instanceof Name)r.update(a.name);else if(a instanceof Ref)r.update(a.toString());else if(a instanceof Dict)for(const e of a.getRawValues())if(e instanceof Name)r.update(e.name);else if(e instanceof Ref)r.update(e.toString());else if(Array.isArray(e)){const t=e.length,a=new Array(t);for(let r=0;r<t;r++){const t=e[r];t instanceof Name?a[r]=t.name:("number"==typeof t||t instanceof Ref)&&(a[r]=t.toString())}r.update(a.join())}r.update(`${n}-${s}`);if(c instanceof BaseStream){const e=c.str||c,t=e.buffer?new Uint8Array(e.buffer.buffer,0,e.bufferLength):new Uint8Array(e.bytes.buffer,e.start,e.end-e.start);r.update(t)}else c instanceof Name&&r.update(c.name);const o=e.get("Widths")||t.get("Widths");if(Array.isArray(o)){const e=[];for(const t of o)("number"==typeof t||t instanceof Ref)&&e.push(t.toString());r.update(e.join())}if(i){r.update("compositeFont");const a=e.get("W")||t.get("W");if(Array.isArray(a)){const e=[];for(const t of a)if("number"==typeof t||t instanceof Ref)e.push(t.toString());else if(Array.isArray(t)){const a=[];for(const e of t)("number"==typeof e||e instanceof Ref)&&a.push(e.toString());e.push(`[${a.join()}]`)}r.update(e.join())}const i=e.getRaw("CIDToGIDMap")||t.getRaw("CIDToGIDMap");i instanceof Name?r.update(i.name):i instanceof Ref?r.update(i.toString()):i instanceof BaseStream&&r.update(i.peekBytes())}}return{descriptor:o,dict:e,baseDict:t,composite:i,type:a.name,firstChar:n,lastChar:s,toUnicode:c,hash:r?r.hexdigest():""}}async translateFont({descriptor:e,dict:a,baseDict:r,composite:i,type:n,firstChar:s,lastChar:o,toUnicode:c,cssFontInfo:l}){const h="Type3"===n;if(!e){if(!h){let e=a.get("BaseFont");if(!(e instanceof Name))throw new FormatError("Base font is not specified");e=e.name.replaceAll(/[,_]/g,"-");const t=this.getBaseFontMetrics(e),i=e.split("-",1)[0],l=(this.isSerifFont(i)?Er:0)|(t.monospace?Nr:0)|(ei()[i]?Pr:Lr),u={type:n,name:e,loadedName:r.loadedName,systemFontInfo:null,widths:t.widths,defaultWidth:t.defaultWidth,isSimulatedFlags:!0,flags:l,firstChar:s,lastChar:o,toUnicode:c,xHeight:0,capHeight:0,italicAngle:0,isType3Font:h},d=a.get("Widths"),f=getStandardFontName(e);let g=null;if(f){g=await this.fetchStandardFontData(f);u.isInternalFont=!!g}!u.isInternalFont&&this.options.useSystemFonts&&(u.systemFontInfo=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,e,f,n));const p=await this.extractDataStructures(a,u);if(Array.isArray(d)){const e=[];let t=s;for(const a of d){const r=this.xref.fetchIfRef(a);"number"==typeof r&&(e[t]=r);t++}p.widths=e}else p.widths=this.buildCharCodeToWidth(t.widths,p);return new Font(e,g,p,this.options)}e=Dict.empty}let u=e.get("FontName"),d=a.get("BaseFont");"string"==typeof u&&(u=Name.get(u));"string"==typeof d&&(d=Name.get(d));const f=u?.name,g=d?.name;if(h)f||(u=Name.get(n));else if(f!==g){info(`The FontDescriptor\'s FontName is "${f}" but should be the same as the Font\'s BaseFont "${g}".`);f&&g&&(g.startsWith(f)||!isKnownFontName(f)&&isKnownFontName(g))&&(u=null);u||=d}if(!(u instanceof Name))throw new FormatError("invalid font name");let p,m,b,y,w;try{p=e.get("FontFile","FontFile2","FontFile3");if(p){if(!(p instanceof BaseStream))throw new FormatError("FontFile should be a stream");if(p.isEmpty)throw new FormatError("FontFile is empty")}}catch(e){if(!this.options.ignoreErrors)throw e;warn(`translateFont - fetching "${u.name}" font file: "${e}".`);p=null}let x=!1,S=null,k=null;if(p){if(p.dict){const e=p.dict.get("Subtype");e instanceof Name&&(m=e.name);b=p.dict.get("Length1");y=p.dict.get("Length2");w=p.dict.get("Length3")}}else if(l){const e=getXfaFontName(u.name);if(e){l.fontFamily=`${l.fontFamily}-PdfJS-XFA`;l.metrics=e.metrics||null;S=e.factors||null;p=await this.fetchStandardFontData(e.name);x=!!p;r=a=getXfaFontDict(u.name);i=!0}}else if(!h){const e=getStandardFontName(u.name);if(e){p=await this.fetchStandardFontData(e);x=!!p}!x&&this.options.useSystemFonts&&(k=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,u.name,e,n))}const C=lookupMatrix(a.getArray("FontMatrix"),t),v=lookupNormalRect(e.getArray("FontBBox")||a.getArray("FontBBox"),h?[0,0,0,0]:void 0);let F=e.get("Ascent");"number"!=typeof F&&(F=void 0);let T=e.get("Descent");"number"!=typeof T&&(T=void 0);let O=e.get("XHeight");"number"!=typeof O&&(O=0);let M=e.get("CapHeight");"number"!=typeof M&&(M=0);let D=e.get("Flags");Number.isInteger(D)||(D=0);let R=e.get("ItalicAngle");"number"!=typeof R&&(R=0);const N={type:n,name:u.name,subtype:m,file:p,length1:b,length2:y,length3:w,isInternalFont:x,loadedName:r.loadedName,composite:i,fixedPitch:!1,fontMatrix:C,firstChar:s,lastChar:o,toUnicode:c,bbox:v,ascent:F,descent:T,xHeight:O,capHeight:M,flags:D,italicAngle:R,isType3Font:h,cssFontInfo:l,scaleFactors:S,systemFontInfo:k};if(i){const e=r.get("Encoding");e instanceof Name&&(N.cidEncoding=e.name);const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});N.cMap=t;N.vertical=N.cMap.vertical}const E=await this.extractDataStructures(a,N);this.extractWidths(a,e,E);return new Font(u.name,p,E,this.options)}static buildFontPaths(e,t,a,r){function buildPath(t){const i=`${e.loadedName}_path_${t}`;try{if(e.renderer.hasBuiltPath(t))return;a.send("commonobj",[i,"FontPath",e.renderer.getPathJs(t)])}catch(e){if(r.ignoreErrors){warn(`buildFontPaths - ignoring ${i} glyph: "${e}".`);return}throw e}}for(const e of t){buildPath(e.fontChar);const t=e.accent;t?.fontChar&&buildPath(t.fontChar)}}static get fallbackFontDict(){const e=new Dict;e.set("BaseFont",Name.get("Helvetica"));e.set("Type",Name.get("FallbackType"));e.set("Subtype",Name.get("FallbackType"));e.set("Encoding",Name.get("WinAnsiEncoding"));return shadow(this,"fallbackFontDict",e)}}class TranslatedFont{#G=!1;#V=null;constructor({loadedName:e,font:t,dict:a}){this.loadedName=e;this.font=t;this.dict=a;this.type3Dependencies=t.isType3Font?new Set:null}send(e){if(!this.#G){this.#G=!0;e.send("commonobj",[this.loadedName,"Font",this.font.exportData()])}}fallback(e,t){if(this.font.data){this.font.disableFontFace=!0;PartialEvaluator.buildFontPaths(this.font,this.font.glyphCacheValues,e,t)}}loadType3Data(e,t,a){if(this.#V)return this.#V;const{font:r,type3Dependencies:i}=this;assert(r.isType3Font,"Must be a Type3 font.");const n=e.clone({ignoreErrors:!1}),s=new RefSet(e.type3FontRefs);this.dict.objId&&!s.has(this.dict.objId)&&s.put(this.dict.objId);n.type3FontRefs=s;let o=Promise.resolve();const c=this.dict.get("CharProcs"),l=this.dict.get("Resources")||t,h=Object.create(null),[u,d,f,g]=r.bbox,p=f-u,m=g-d,b=Math.hypot(p,m);for(const e of c.getKeys())o=o.then((()=>{const t=c.get(e),r=new OperatorList;return n.getOperatorList({stream:t,task:a,resources:l,operatorList:r}).then((()=>{switch(r.fnArray[0]){case bt:this.#K(r,b);break;case mt:b||this.#J(r)}h[e]=r.getIR();for(const e of r.dependencies)i.add(e)})).catch((function(t){warn(`Type3 font resource "${e}" is not available.`);const a=new OperatorList;h[e]=a.getIR()}))}));this.#V=o.then((()=>{r.charProcOperatorList=h;if(this._bbox){r.isCharBBox=!0;r.bbox=this._bbox}}));return this.#V}#K(e,t=NaN){const a=Util.normalizeRect(e.argsArray[0].slice(2)),r=a[2]-a[0],i=a[3]-a[1],n=Math.hypot(r,i);if(0===r||0===i){e.fnArray.splice(0,1);e.argsArray.splice(0,1)}else if(0===t||Math.round(n/t)>=10){this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}let s=0,o=e.length;for(;s<o;){switch(e.fnArray[s]){case bt:break;case yt:case wt:case xt:case St:case At:case kt:case Ct:case vt:case Ft:case It:case Tt:case Ot:case Mt:case Oe:e.fnArray.splice(s,1);e.argsArray.splice(s,1);o--;continue;case De:const[t]=e.argsArray[s];let a=0,r=t.length;for(;a<r;){const[e]=t[a];switch(e){case"TR":case"TR2":case"HT":case"BG":case"BG2":case"UCR":case"UCR2":t.splice(a,1);r--;continue}a++}}s++}}#J(e){let t=1;const a=e.length;for(;t<a;){if(e.fnArray[t]===aa){const a=e.argsArray[t][2];this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}t++}}}class StateManager{constructor(e=new EvalState){this.state=e;this.stateStack=[]}save(){const e=this.state;this.stateStack.push(this.state);this.state=e.clone()}restore(){const e=this.stateStack.pop();e&&(this.state=e)}transform(e){this.state.ctm=Util.transform(this.state.ctm,e)}}class TextState{constructor(){this.ctm=new Float32Array(Fa);this.fontName=null;this.fontSize=0;this.loadedName=null;this.font=null;this.fontMatrix=t;this.textMatrix=Fa.slice();this.textLineMatrix=Fa.slice();this.charSpacing=0;this.wordSpacing=0;this.leading=0;this.textHScale=1;this.textRise=0}setTextMatrix(e,t,a,r,i,n){const s=this.textMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}setTextLineMatrix(e,t,a,r,i,n){const s=this.textLineMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}translateTextMatrix(e,t){const a=this.textMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}translateTextLineMatrix(e,t){const a=this.textLineMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}carriageReturn(){this.translateTextLineMatrix(0,-this.leading);this.textMatrix=this.textLineMatrix.slice()}clone(){const e=Object.create(this);e.textMatrix=this.textMatrix.slice();e.textLineMatrix=this.textLineMatrix.slice();e.fontMatrix=this.fontMatrix.slice();return e}}class EvalState{constructor(){this.ctm=new Float32Array(Fa);this.font=null;this.textRenderingMode=x;this._fillColorSpace=this._strokeColorSpace=ColorSpaceUtils.gray;this.patternFillColorSpace=null;this.patternStrokeColorSpace=null;this.currentPointX=this.currentPointY=0;this.pathMinMax=new Float32Array([1/0,1/0,-1/0,-1/0]);this.pathBuffer=[]}get fillColorSpace(){return this._fillColorSpace}set fillColorSpace(e){this._fillColorSpace=this.patternFillColorSpace=e}get strokeColorSpace(){return this._strokeColorSpace}set strokeColorSpace(e){this._strokeColorSpace=this.patternStrokeColorSpace=e}clone({newPath:e=!1}={}){const t=Object.create(this);if(e){t.pathBuffer=[];t.pathMinMax=new Float32Array([1/0,1/0,-1/0,-1/0])}return t}}class EvaluatorPreprocessor{static get opMap(){return shadow(this,"opMap",Object.assign(Object.create(null),{w:{id:Ce,numArgs:1,variableArgs:!1},J:{id:ve,numArgs:1,variableArgs:!1},j:{id:Fe,numArgs:1,variableArgs:!1},M:{id:Ie,numArgs:1,variableArgs:!1},d:{id:Te,numArgs:2,variableArgs:!1},ri:{id:Oe,numArgs:1,variableArgs:!1},i:{id:Me,numArgs:1,variableArgs:!1},gs:{id:De,numArgs:1,variableArgs:!1},q:{id:Be,numArgs:0,variableArgs:!1},Q:{id:Re,numArgs:0,variableArgs:!1},cm:{id:Ne,numArgs:6,variableArgs:!1},m:{id:Ee,numArgs:2,variableArgs:!1},l:{id:Pe,numArgs:2,variableArgs:!1},c:{id:Le,numArgs:6,variableArgs:!1},v:{id:je,numArgs:4,variableArgs:!1},y:{id:_e,numArgs:4,variableArgs:!1},h:{id:Ue,numArgs:0,variableArgs:!1},re:{id:Xe,numArgs:4,variableArgs:!1},S:{id:qe,numArgs:0,variableArgs:!1},s:{id:He,numArgs:0,variableArgs:!1},f:{id:We,numArgs:0,variableArgs:!1},F:{id:We,numArgs:0,variableArgs:!1},"f*":{id:ze,numArgs:0,variableArgs:!1},B:{id:$e,numArgs:0,variableArgs:!1},"B*":{id:Ge,numArgs:0,variableArgs:!1},b:{id:Ve,numArgs:0,variableArgs:!1},"b*":{id:Ke,numArgs:0,variableArgs:!1},n:{id:Je,numArgs:0,variableArgs:!1},W:{id:Ye,numArgs:0,variableArgs:!1},"W*":{id:Ze,numArgs:0,variableArgs:!1},BT:{id:Qe,numArgs:0,variableArgs:!1},ET:{id:et,numArgs:0,variableArgs:!1},Tc:{id:tt,numArgs:1,variableArgs:!1},Tw:{id:at,numArgs:1,variableArgs:!1},Tz:{id:rt,numArgs:1,variableArgs:!1},TL:{id:it,numArgs:1,variableArgs:!1},Tf:{id:nt,numArgs:2,variableArgs:!1},Tr:{id:st,numArgs:1,variableArgs:!1},Ts:{id:ot,numArgs:1,variableArgs:!1},Td:{id:ct,numArgs:2,variableArgs:!1},TD:{id:lt,numArgs:2,variableArgs:!1},Tm:{id:ht,numArgs:6,variableArgs:!1},"T*":{id:ut,numArgs:0,variableArgs:!1},Tj:{id:dt,numArgs:1,variableArgs:!1},TJ:{id:ft,numArgs:1,variableArgs:!1},"\'":{id:gt,numArgs:1,variableArgs:!1},\'"\':{id:pt,numArgs:3,variableArgs:!1},d0:{id:mt,numArgs:2,variableArgs:!1},d1:{id:bt,numArgs:6,variableArgs:!1},CS:{id:yt,numArgs:1,variableArgs:!1},cs:{id:wt,numArgs:1,variableArgs:!1},SC:{id:xt,numArgs:4,variableArgs:!0},SCN:{id:St,numArgs:33,variableArgs:!0},sc:{id:At,numArgs:4,variableArgs:!0},scn:{id:kt,numArgs:33,variableArgs:!0},G:{id:Ct,numArgs:1,variableArgs:!1},g:{id:vt,numArgs:1,variableArgs:!1},RG:{id:Ft,numArgs:3,variableArgs:!1},rg:{id:It,numArgs:3,variableArgs:!1},K:{id:Tt,numArgs:4,variableArgs:!1},k:{id:Ot,numArgs:4,variableArgs:!1},sh:{id:Mt,numArgs:1,variableArgs:!1},BI:{id:Dt,numArgs:0,variableArgs:!1},ID:{id:Bt,numArgs:0,variableArgs:!1},EI:{id:Rt,numArgs:1,variableArgs:!1},Do:{id:Nt,numArgs:1,variableArgs:!1},MP:{id:Et,numArgs:1,variableArgs:!1},DP:{id:Pt,numArgs:2,variableArgs:!1},BMC:{id:Lt,numArgs:1,variableArgs:!1},BDC:{id:jt,numArgs:2,variableArgs:!1},EMC:{id:_t,numArgs:0,variableArgs:!1},BX:{id:Ut,numArgs:0,variableArgs:!1},EX:{id:Xt,numArgs:0,variableArgs:!1},BM:null,BD:null,true:null,fa:null,fal:null,fals:null,false:null,nu:null,nul:null,null:null}))}static MAX_INVALID_PATH_OPS=10;constructor(e,t,a=new StateManager){this.parser=new Parser({lexer:new Lexer(e,EvaluatorPreprocessor.opMap),xref:t});this.stateManager=a;this.nonProcessedArgs=[];this._isPathOp=!1;this._numInvalidPathOPS=0}get savedStatesDepth(){return this.stateManager.stateStack.length}read(e){let t=e.args;for(;;){const a=this.parser.getObj();if(a instanceof Cmd){const r=a.cmd,i=EvaluatorPreprocessor.opMap[r];if(!i){warn(`Unknown command "${r}".`);continue}const n=i.id,s=i.numArgs;let o=null!==t?t.length:0;this._isPathOp||(this._numInvalidPathOPS=0);this._isPathOp=n>=Ee&&n<=Je;if(i.variableArgs)o>s&&info(`Command ${r}: expected [0, ${s}] args, but received ${o} args.`);else{if(o!==s){const e=this.nonProcessedArgs;for(;o>s;){e.push(t.shift());o--}for(;o<s&&0!==e.length;){null===t&&(t=[]);t.unshift(e.pop());o++}}if(o<s){const e=`command ${r}: expected ${s} args, but received ${o} args.`;if(this._isPathOp&&++this._numInvalidPathOPS>EvaluatorPreprocessor.MAX_INVALID_PATH_OPS)throw new FormatError(`Invalid ${e}`);warn(`Skipping ${e}`);null!==t&&(t.length=0);continue}}this.preprocessCommand(n,t);e.fn=n;e.args=t;return!0}if(a===wa)return!1;if(null!==a){null===t&&(t=[]);t.push(a);if(t.length>33)throw new FormatError("Too many arguments")}}}preprocessCommand(e,t){switch(0|e){case Be:this.stateManager.save();break;case Re:this.stateManager.restore();break;case Ne:this.stateManager.transform(t)}}}class DefaultAppearanceEvaluator extends EvaluatorPreprocessor{constructor(e){super(new StringStream(e))}parse(){const e={fn:0,args:[]},t={fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3)};try{for(;;){e.args.length=0;if(!this.read(e))break;if(0!==this.savedStatesDepth)continue;const{fn:a,args:r}=e;switch(0|a){case nt:const[e,a]=r;e instanceof Name&&(t.fontName=e.name);"number"==typeof a&&a>0&&(t.fontSize=a);break;case It:ColorSpaceUtils.rgb.getRgbItem(r,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(r,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(r,0,t.fontColor,0)}}}catch(e){warn(`parseDefaultAppearance - ignoring errors: "${e}".`)}return t}}function parseDefaultAppearance(e){return new DefaultAppearanceEvaluator(e).parse()}class AppearanceStreamEvaluator extends EvaluatorPreprocessor{constructor(e,t,a,r){super(e);this.stream=e;this.evaluatorOptions=t;this.xref=a;this.globalColorSpaceCache=r;this.resources=e.dict?.get("Resources")}parse(){const e={fn:0,args:[]};let t={scaleFactor:1,fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3),fillColorSpace:ColorSpaceUtils.gray},a=!1;const r=[];try{for(;;){e.args.length=0;if(a||!this.read(e))break;const{fn:i,args:n}=e;switch(0|i){case Be:r.push({scaleFactor:t.scaleFactor,fontSize:t.fontSize,fontName:t.fontName,fontColor:t.fontColor.slice(),fillColorSpace:t.fillColorSpace});break;case Re:t=r.pop()||t;break;case ht:t.scaleFactor*=Math.hypot(n[0],n[1]);break;case nt:const[e,i]=n;e instanceof Name&&(t.fontName=e.name);"number"==typeof i&&i>0&&(t.fontSize=i*t.scaleFactor);break;case wt:t.fillColorSpace=ColorSpaceUtils.parse({cs:n[0],xref:this.xref,resources:this.resources,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:this._localColorSpaceCache});break;case At:t.fillColorSpace.getRgbItem(n,0,t.fontColor,0);break;case It:ColorSpaceUtils.rgb.getRgbItem(n,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(n,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(n,0,t.fontColor,0);break;case dt:case ft:case gt:case pt:a=!0}}}catch(e){warn(`parseAppearanceStream - ignoring errors: "${e}".`)}this.stream.reset();delete t.scaleFactor;delete t.fillColorSpace;return t}get _localColorSpaceCache(){return shadow(this,"_localColorSpaceCache",new LocalColorSpaceCache)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.evaluatorOptions.isEvalSupported}))}}function getPdfColor(e,t){if(e[0]===e[1]&&e[1]===e[2]){return`${numberToString(e[0]/255)} ${t?"g":"G"}`}return Array.from(e,(e=>numberToString(e/255))).join(" ")+" "+(t?"rg":"RG")}class FakeUnicodeFont{constructor(e,t){this.xref=e;this.widths=null;this.firstChar=1/0;this.lastChar=-1/0;this.fontFamily=t;const a=new OffscreenCanvas(1,1);this.ctxMeasure=a.getContext("2d",{willReadFrequently:!0});FakeUnicodeFont._fontNameId||(FakeUnicodeFont._fontNameId=1);this.fontName=Name.get(`InvalidPDFjsFont_${t}_${FakeUnicodeFont._fontNameId++}`)}get fontDescriptorRef(){if(!FakeUnicodeFont._fontDescriptorRef){const e=new Dict(this.xref);e.setIfName("Type","FontDescriptor");e.set("FontName",this.fontName);e.set("FontFamily","MyriadPro Regular");e.set("FontBBox",[0,0,0,0]);e.setIfName("FontStretch","Normal");e.set("FontWeight",400);e.set("ItalicAngle",0);FakeUnicodeFont._fontDescriptorRef=this.xref.getNewPersistentRef(e)}return FakeUnicodeFont._fontDescriptorRef}get descendantFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","CIDFontType0");e.setIfName("CIDToGIDMap","Identity");e.set("FirstChar",this.firstChar);e.set("LastChar",this.lastChar);e.set("FontDescriptor",this.fontDescriptorRef);e.set("DW",1e3);const t=[],a=[...this.widths.entries()].sort();let r=null,i=null;for(const[e,n]of a)if(r)if(e===r+i.length)i.push(n);else{t.push(r,i);r=e;i=[n]}else{r=e;i=[n]}r&&t.push(r,i);e.set("W",t);const n=new Dict(this.xref);n.set("Ordering","Identity");n.set("Registry","Adobe");n.set("Supplement",0);e.set("CIDSystemInfo",n);return this.xref.getNewPersistentRef(e)}get baseFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","Type0");e.setIfName("Encoding","Identity-H");e.set("DescendantFonts",[this.descendantFontRef]);e.setIfName("ToUnicode","Identity-H");return this.xref.getNewPersistentRef(e)}get resources(){const e=new Dict(this.xref),t=new Dict(this.xref);t.set(this.fontName.name,this.baseFontRef);e.set("Font",t);return e}_createContext(){this.widths=new Map;this.ctxMeasure.font=`1000px ${this.fontFamily}`;return this.ctxMeasure}createFontResources(e){const t=this._createContext();for(const a of e.split(/\\r\\n?|\\n/))for(const e of a.split("")){const a=e.charCodeAt(0);if(this.widths.has(a))continue;const r=t.measureText(e),i=Math.ceil(r.width);this.widths.set(a,i);this.firstChar=Math.min(a,this.firstChar);this.lastChar=Math.max(a,this.lastChar)}return this.resources}static getFirstPositionInfo(e,t,i){const[n,s,o,c]=e;let l=o-n,h=c-s;t%180!=0&&([l,h]=[h,l]);const u=a*i;return{coords:[0,h+r*i-u],bbox:[0,0,l,h],matrix:0!==t?getRotationMatrix(t,h,u):void 0}}createAppearance(e,t,i,n,s,o){const c=this._createContext(),l=[];let h=-1/0;for(const t of e.split(/\\r\\n?|\\n/)){l.push(t);const e=c.measureText(t).width;h=Math.max(h,e);for(const e of codePointIter(t)){const t=String.fromCodePoint(e);let a=this.widths.get(e);if(void 0===a){const r=c.measureText(t);a=Math.ceil(r.width);this.widths.set(e,a);this.firstChar=Math.min(e,this.firstChar);this.lastChar=Math.max(e,this.lastChar)}}}h*=n/1e3;const[u,d,f,g]=t;let p=f-u,m=g-d;i%180!=0&&([p,m]=[m,p]);let b=1;h>p&&(b=p/h);let y=1;const w=a*n,x=r*n,S=w*l.length;S>m&&(y=m/S);const k=n*Math.min(b,y),C=["q",`0 0 ${numberToString(p)} ${numberToString(m)} re W n`,"BT",`1 0 0 1 0 ${numberToString(m+x)} Tm 0 Tc ${getPdfColor(s,!0)}`,`/${this.fontName.name} ${numberToString(k)} Tf`],{resources:v}=this;if(1!==(o="number"==typeof o&&o>=0&&o<=1?o:1)){C.push("/R0 gs");const e=new Dict(this.xref),t=new Dict(this.xref);t.set("ca",o);t.set("CA",o);t.setIfName("Type","ExtGState");e.set("R0",t);v.set("ExtGState",e)}const F=numberToString(w);for(const e of l)C.push(`0 -${F} Td <${stringToUTF16HexString(e)}> Tj`);C.push("ET","Q");const T=C.join("\\n"),O=new Dict(this.xref);O.setIfName("Subtype","Form");O.setIfName("Type","XObject");O.set("BBox",[0,0,p,m]);O.set("Length",T.length);O.set("Resources",v);if(i){const e=getRotationMatrix(i,p,m);O.set("Matrix",e)}const M=new StringStream(T);M.dict=O;return M}}const Pn=["m/d","m/d/yy","mm/dd/yy","mm/yy","d-mmm","d-mmm-yy","dd-mmm-yy","yy-mm-dd","mmm-yy","mmmm-yy","mmm d, yyyy","mmmm d, yyyy","m/d/yy h:MM tt","m/d/yy HH:MM"],Ln=["HH:MM","h:MM tt","HH:MM:ss","h:MM:ss tt"];class NameOrNumberTree{constructor(e,t,a){this.root=e;this.xref=t;this._type=a}getAll(){const e=new Map;if(!this.root)return e;const t=this.xref,a=new RefSet;a.put(this.root);const r=[this.root];for(;r.length>0;){const i=t.fetchIfRef(r.shift());if(!(i instanceof Dict))continue;if(i.has("Kids")){const e=i.get("Kids");if(!Array.isArray(e))continue;for(const t of e){if(a.has(t))throw new FormatError(`Duplicate entry in "${this._type}" tree.`);r.push(t);a.put(t)}continue}const n=i.get(this._type);if(Array.isArray(n))for(let a=0,r=n.length;a<r;a+=2)e.set(t.fetchIfRef(n[a]),t.fetchIfRef(n[a+1]))}return e}getRaw(e){if(!this.root)return null;const t=this.xref;let a=t.fetchIfRef(this.root),r=0;for(;a.has("Kids");){if(++r>10){warn(`Search depth limit reached for "${this._type}" tree.`);return null}const i=a.get("Kids");if(!Array.isArray(i))return null;let n=0,s=i.length-1;for(;n<=s;){const r=n+s>>1,o=t.fetchIfRef(i[r]),c=o.get("Limits");if(e<t.fetchIfRef(c[0]))s=r-1;else{if(!(e>t.fetchIfRef(c[1]))){a=o;break}n=r+1}}if(n>s)return null}const i=a.get(this._type);if(Array.isArray(i)){let a=0,r=i.length-2;for(;a<=r;){const n=a+r>>1,s=n+(1&n),o=t.fetchIfRef(i[s]);if(e<o)r=s-2;else{if(!(e>o))return i[s+1];a=s+2}}}return null}get(e){return this.xref.fetchIfRef(this.getRaw(e))}}class NameTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Names")}}class NumberTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Nums")}}function clearGlobalCaches(){!function clearPatternCaches(){Ii=Object.create(null)}();!function clearPrimitiveCaches(){xa=Object.create(null);Sa=Object.create(null);Aa=Object.create(null)}();!function clearUnicodeCaches(){Dr.clear()}();JpxImage.cleanup()}function pickPlatformItem(e){return e instanceof Dict?e.has("UF")?e.get("UF"):e.has("F")?e.get("F"):e.has("Unix")?e.get("Unix"):e.has("Mac")?e.get("Mac"):e.has("DOS")?e.get("DOS"):null:null}class FileSpec{#Y=!1;constructor(e,t,a=!1){if(e instanceof Dict){this.xref=t;this.root=e;e.has("FS")&&(this.fs=e.get("FS"));e.has("RF")&&warn("Related file specifications are not supported");a||(e.has("EF")?this.#Y=!0:warn("Non-embedded file specifications are not supported"))}}get filename(){let e="";const t=pickPlatformItem(this.root);t&&"string"==typeof t&&(e=stringToPDFString(t,!0).replaceAll("\\\\\\\\","\\\\").replaceAll("\\\\/","/").replaceAll("\\\\","/"));return shadow(this,"filename",e||"unnamed")}get content(){if(!this.#Y)return null;this._contentRef||=pickPlatformItem(this.root?.get("EF"));let e=null;if(this._contentRef){const t=this.xref.fetchIfRef(this._contentRef);t instanceof BaseStream?e=t.getBytes():warn("Embedded file specification points to non-existing/invalid content")}else warn("Embedded file specification does not have any content");return e}get description(){let e="";const t=this.root?.get("Desc");t&&"string"==typeof t&&(e=stringToPDFString(t));return shadow(this,"description",e)}get serializable(){return{rawFilename:this.filename,filename:(e=this.filename,e.substring(e.lastIndexOf("/")+1)),content:this.content,description:this.description};var e}}const jn=0,_n=-2,Un=-3,Xn=-4,qn=-5,Hn=-6,Wn=-9;function isWhitespace(e,t){const a=e[t];return" "===a||"\\n"===a||"\\r"===a||"\\t"===a}class XMLParserBase{_resolveEntities(e){return e.replaceAll(/&([^;]+);/g,((e,t)=>{if("#x"===t.substring(0,2))return String.fromCodePoint(parseInt(t.substring(2),16));if("#"===t.substring(0,1))return String.fromCodePoint(parseInt(t.substring(1),10));switch(t){case"lt":return"<";case"gt":return">";case"amp":return"&";case"quot":return\'"\';case"apos":return"\'"}return this.onResolveEntity(t)}))}_parseContent(e,t){const a=[];let r=t;function skipWs(){for(;r<e.length&&isWhitespace(e,r);)++r}for(;r<e.length&&!isWhitespace(e,r)&&">"!==e[r]&&"/"!==e[r];)++r;const i=e.substring(t,r);skipWs();for(;r<e.length&&">"!==e[r]&&"/"!==e[r]&&"?"!==e[r];){skipWs();let t="",i="";for(;r<e.length&&!isWhitespace(e,r)&&"="!==e[r];){t+=e[r];++r}skipWs();if("="!==e[r])return null;++r;skipWs();const n=e[r];if(\'"\'!==n&&"\'"!==n)return null;const s=e.indexOf(n,++r);if(s<0)return null;i=e.substring(r,s);a.push({name:t,value:this._resolveEntities(i)});r=s+1;skipWs()}return{name:i,attributes:a,parsed:r-t}}_parseProcessingInstruction(e,t){let a=t;for(;a<e.length&&!isWhitespace(e,a)&&">"!==e[a]&&"?"!==e[a]&&"/"!==e[a];)++a;const r=e.substring(t,a);!function skipWs(){for(;a<e.length&&isWhitespace(e,a);)++a}();const i=a;for(;a<e.length&&("?"!==e[a]||">"!==e[a+1]);)++a;return{name:r,value:e.substring(i,a),parsed:a-t}}parseXml(e){let t=0;for(;t<e.length;){let a=t;if("<"===e[t]){++a;let t;switch(e[a]){case"/":++a;t=e.indexOf(">",a);if(t<0){this.onError(Wn);return}this.onEndElement(e.substring(a,t));a=t+1;break;case"?":++a;const r=this._parseProcessingInstruction(e,a);if("?>"!==e.substring(a+r.parsed,a+r.parsed+2)){this.onError(Un);return}this.onPi(r.name,r.value);a+=r.parsed+2;break;case"!":if("--"===e.substring(a+1,a+3)){t=e.indexOf("--\\x3e",a+3);if(t<0){this.onError(qn);return}this.onComment(e.substring(a+3,t));a=t+3}else if("[CDATA["===e.substring(a+1,a+8)){t=e.indexOf("]]>",a+8);if(t<0){this.onError(_n);return}this.onCdata(e.substring(a+8,t));a=t+3}else{if("DOCTYPE"!==e.substring(a+1,a+8)){this.onError(Hn);return}{const r=e.indexOf("[",a+8);let i=!1;t=e.indexOf(">",a+8);if(t<0){this.onError(Xn);return}if(r>0&&t>r){t=e.indexOf("]>",a+8);if(t<0){this.onError(Xn);return}i=!0}const n=e.substring(a+8,t+(i?1:0));this.onDoctype(n);a=t+(i?2:1)}}break;default:const i=this._parseContent(e,a);if(null===i){this.onError(Hn);return}let n=!1;if("/>"===e.substring(a+i.parsed,a+i.parsed+2))n=!0;else if(">"!==e.substring(a+i.parsed,a+i.parsed+1)){this.onError(Wn);return}this.onBeginElement(i.name,i.attributes,n);a+=i.parsed+(n?2:1)}}else{for(;a<e.length&&"<"!==e[a];)a++;const r=e.substring(t,a);this.onText(this._resolveEntities(r))}t=a}}onResolveEntity(e){return`&${e};`}onPi(e,t){}onComment(e){}onCdata(e){}onDoctype(e){}onText(e){}onBeginElement(e,t,a){}onEndElement(e){}onError(e){}}class SimpleDOMNode{constructor(e,t){this.nodeName=e;this.nodeValue=t;Object.defineProperty(this,"parentNode",{value:null,writable:!0})}get firstChild(){return this.childNodes?.[0]}get nextSibling(){const e=this.parentNode.childNodes;if(!e)return;const t=e.indexOf(this);return-1!==t?e[t+1]:void 0}get textContent(){return this.childNodes?this.childNodes.map((e=>e.textContent)).join(""):this.nodeValue||""}get children(){return this.childNodes||[]}hasChildNodes(){return this.childNodes?.length>0}searchNode(e,t){if(t>=e.length)return this;const a=e[t];if(a.name.startsWith("#")&&t<e.length-1)return this.searchNode(e,t+1);const r=[];let i=this;for(;;){if(a.name===i.nodeName){if(0!==a.pos){if(0===r.length)return null;{const[n]=r.pop();let s=0;for(const r of n.childNodes)if(a.name===r.nodeName){if(s===a.pos)return r.searchNode(e,t+1);s++}return i.searchNode(e,t+1)}}{const a=i.searchNode(e,t+1);if(null!==a)return a}}if(i.childNodes?.length>0){r.push([i,0]);i=i.childNodes[0]}else{if(0===r.length)return null;for(;0!==r.length;){const[e,t]=r.pop(),a=t+1;if(a<e.childNodes.length){r.push([e,a]);i=e.childNodes[a];break}}if(0===r.length)return null}}}dump(e){if("#text"!==this.nodeName){e.push(`<${this.nodeName}`);if(this.attributes)for(const t of this.attributes)e.push(` ${t.name}="${encodeToXmlString(t.value)}"`);if(this.hasChildNodes()){e.push(">");for(const t of this.childNodes)t.dump(e);e.push(`</${this.nodeName}>`)}else this.nodeValue?e.push(`>${encodeToXmlString(this.nodeValue)}</${this.nodeName}>`):e.push("/>")}else e.push(encodeToXmlString(this.nodeValue))}}class SimpleXMLParser extends XMLParserBase{constructor({hasAttributes:e=!1,lowerCaseName:t=!1}){super();this._currentFragment=null;this._stack=null;this._errorCode=jn;this._hasAttributes=e;this._lowerCaseName=t}parseFromString(e){this._currentFragment=[];this._stack=[];this._errorCode=jn;this.parseXml(e);if(this._errorCode!==jn)return;const[t]=this._currentFragment;return t?{documentElement:t}:void 0}onText(e){if(function isWhitespaceString(e){for(let t=0,a=e.length;t<a;t++)if(!isWhitespace(e,t))return!1;return!0}(e))return;const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onCdata(e){const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onBeginElement(e,t,a){this._lowerCaseName&&(e=e.toLowerCase());const r=new SimpleDOMNode(e);r.childNodes=[];this._hasAttributes&&(r.attributes=t);this._currentFragment.push(r);if(!a){this._stack.push(this._currentFragment);this._currentFragment=r.childNodes}}onEndElement(e){this._currentFragment=this._stack.pop()||[];const t=this._currentFragment.at(-1);if(!t)return null;for(const e of t.childNodes)e.parentNode=t;return t}onError(e){this._errorCode=e}}class MetadataParser{constructor(e){e=this._repair(e);const t=new SimpleXMLParser({lowerCaseName:!0}).parseFromString(e);this._metadataMap=new Map;this._data=e;t&&this._parse(t)}_repair(e){return e.replace(/^[^<]+/,"").replaceAll(/>\\\\376\\\\377([^<]+)/g,(function(e,t){const a=t.replaceAll(/\\\\([0-3])([0-7])([0-7])/g,(function(e,t,a,r){return String.fromCharCode(64*t+8*a+1*r)})).replaceAll(/&(amp|apos|gt|lt|quot);/g,(function(e,t){switch(t){case"amp":return"&";case"apos":return"\'";case"gt":return">";case"lt":return"<";case"quot":return\'"\'}throw new Error(`_repair: ${t} isn\'t defined.`)})),r=[">"];for(let e=0,t=a.length;e<t;e+=2){const t=256*a.charCodeAt(e)+a.charCodeAt(e+1);t>=32&&t<127&&60!==t&&62!==t&&38!==t?r.push(String.fromCharCode(t)):r.push("&#x"+(65536+t).toString(16).substring(1)+";")}return r.join("")}))}_getSequence(e){const t=e.nodeName;return"rdf:bag"!==t&&"rdf:seq"!==t&&"rdf:alt"!==t?null:e.childNodes.filter((e=>"rdf:li"===e.nodeName))}_parseArray(e){if(!e.hasChildNodes())return;const[t]=e.childNodes,a=this._getSequence(t)||[];this._metadataMap.set(e.nodeName,a.map((e=>e.textContent.trim())))}_parse(e){let t=e.documentElement;if("rdf:rdf"!==t.nodeName){t=t.firstChild;for(;t&&"rdf:rdf"!==t.nodeName;)t=t.nextSibling}if(t&&"rdf:rdf"===t.nodeName&&t.hasChildNodes())for(const e of t.childNodes)if("rdf:description"===e.nodeName)for(const t of e.childNodes){const e=t.nodeName;switch(e){case"#text":continue;case"dc:creator":case"dc:subject":this._parseArray(t);continue}this._metadataMap.set(e,t.textContent.trim())}}get serializable(){return{parsedData:this._metadataMap,rawData:this._data}}}const zn=1,$n=2,Gn=3,Vn=4,Kn=5;class StructTreeRoot{constructor(e,t,a){this.xref=e;this.dict=t;this.ref=a instanceof Ref?a:null;this.roleMap=new Map;this.structParentIds=null}init(){this.readRoleMap()}#Z(e,t,a){if(!(e instanceof Ref)||t<0)return;this.structParentIds||=new RefSetCache;let r=this.structParentIds.get(e);if(!r){r=[];this.structParentIds.put(e,r)}r.push([t,a])}addAnnotationIdToPage(e,t){this.#Z(e,t,Vn)}readRoleMap(){const e=this.dict.get("RoleMap");if(e instanceof Dict)for(const[t,a]of e)a instanceof Name&&this.roleMap.set(t,a.name)}static async canCreateStructureTree({catalogRef:e,pdfManager:t,newAnnotationsByPage:a}){if(!(e instanceof Ref)){warn("Cannot save the struct tree: no catalog reference.");return!1}let r=0,i=!0;for(const[e,n]of a){const{ref:a}=await t.getPage(e);if(!(a instanceof Ref)){warn(`Cannot save the struct tree: page ${e} has no ref.`);i=!0;break}for(const e of n)if(e.accessibilityData?.type){e.parentTreeId=r++;i=!1}}if(i){for(const e of a.values())for(const t of e)delete t.parentTreeId;return!1}return!0}static async createStructureTree({newAnnotationsByPage:e,xref:t,catalogRef:a,pdfManager:r,changes:i}){const n=await r.ensureCatalog("cloneDict"),s=new RefSetCache;s.put(a,n);const o=t.getNewTemporaryRef();n.set("StructTreeRoot",o);const c=new Dict(t);c.set("Type",Name.get("StructTreeRoot"));const l=t.getNewTemporaryRef();c.set("ParentTree",l);const h=[];c.set("K",h);s.put(o,c);const u=new Dict(t),d=[];u.set("Nums",d);const f=await this.#Q({newAnnotationsByPage:e,structTreeRootRef:o,structTreeRoot:null,kids:h,nums:d,xref:t,pdfManager:r,changes:i,cache:s});c.set("ParentTreeNextKey",f);s.put(l,u);for(const[e,t]of s.items())i.put(e,{data:t})}async canUpdateStructTree({pdfManager:e,newAnnotationsByPage:t}){if(!this.ref){warn("Cannot update the struct tree: no root reference.");return!1}let a=this.dict.get("ParentTreeNextKey");if(!Number.isInteger(a)||a<0){warn("Cannot update the struct tree: invalid next key.");return!1}const r=this.dict.get("ParentTree");if(!(r instanceof Dict)){warn("Cannot update the struct tree: ParentTree isn\'t a dict.");return!1}const i=r.get("Nums");if(!Array.isArray(i)){warn("Cannot update the struct tree: nums isn\'t an array.");return!1}const n=new NumberTree(r,this.xref);for(const a of t.keys()){const{pageDict:t}=await e.getPage(a);if(!t.has("StructParents"))continue;const r=t.get("StructParents");if(!Number.isInteger(r)||!Array.isArray(n.get(r))){warn(`Cannot save the struct tree: page ${a} has a wrong id.`);return!1}}let s=!0;for(const[r,i]of t){const{pageDict:t}=await e.getPage(r);StructTreeRoot.#ee({elements:i,xref:this.xref,pageDict:t,numberTree:n});for(const e of i)if(e.accessibilityData?.type){e.accessibilityData.structParent>=0||(e.parentTreeId=a++);s=!1}}if(s){for(const e of t.values())for(const t of e){delete t.parentTreeId;delete t.structTreeParent}return!1}return!0}async updateStructureTree({newAnnotationsByPage:e,pdfManager:t,changes:a}){const{ref:r,xref:i}=this,n=this.dict.clone(),s=new RefSetCache;s.put(r,n);let o,c=n.getRaw("ParentTree");if(c instanceof Ref)o=i.fetch(c);else{o=c;c=i.getNewTemporaryRef();n.set("ParentTree",c)}o=o.clone();s.put(c,o);let l=o.getRaw("Nums"),h=null;if(l instanceof Ref){h=l;l=i.fetch(h)}l=l.slice();h||o.set("Nums",l);const u=await StructTreeRoot.#Q({newAnnotationsByPage:e,structTreeRootRef:r,structTreeRoot:this,kids:null,nums:l,xref:i,pdfManager:t,changes:a,cache:s});if(-1!==u){n.set("ParentTreeNextKey",u);h&&s.put(h,l);for(const[e,t]of s.items())a.put(e,{data:t})}}static async#Q({newAnnotationsByPage:e,structTreeRootRef:t,structTreeRoot:a,kids:r,nums:i,xref:n,pdfManager:s,changes:o,cache:c}){const l=Name.get("OBJR");let h,u=-1;for(const[d,f]of e){const e=await s.getPage(d),{ref:g}=e,p=g instanceof Ref;for(const{accessibilityData:s,ref:m,parentTreeId:b,structTreeParent:y}of f){if(!s?.type)continue;const{structParent:f}=s;if(a&&Number.isInteger(f)&&f>=0){let t=(h||=new Map).get(d);if(void 0===t){t=new StructTreePage(a,e.pageDict).collectObjects(g);h.set(d,t)}const r=t?.get(f);if(r){const e=n.fetch(r).clone();StructTreeRoot.#te(e,s);o.put(r,{data:e});continue}}u=Math.max(u,b);const w=n.getNewTemporaryRef(),x=new Dict(n);StructTreeRoot.#te(x,s);await this.#ae({structTreeParent:y,tagDict:x,newTagRef:w,structTreeRootRef:t,fallbackKids:r,xref:n,cache:c});const S=new Dict(n);x.set("K",S);S.set("Type",l);p&&S.set("Pg",g);S.set("Obj",m);c.put(w,x);i.push(b,w)}}return u+1}static#te(e,{type:t,title:a,lang:r,alt:i,expanded:n,actualText:s}){e.set("S",Name.get(t));a&&e.set("T",stringToAsciiOrUTF16BE(a));r&&e.set("Lang",stringToAsciiOrUTF16BE(r));i&&e.set("Alt",stringToAsciiOrUTF16BE(i));n&&e.set("E",stringToAsciiOrUTF16BE(n));s&&e.set("ActualText",stringToAsciiOrUTF16BE(s))}static#ee({elements:e,xref:t,pageDict:a,numberTree:r}){const i=new Map;for(const t of e)if(t.structTreeParentId){const e=parseInt(t.structTreeParentId.split("_mc")[1],10);let a=i.get(e);if(!a){a=[];i.set(e,a)}a.push(t)}const n=a.get("StructParents");if(!Number.isInteger(n))return;const s=r.get(n),updateElement=(e,a,r)=>{const n=i.get(e);if(n){const e=a.getRaw("P"),i=t.fetchIfRef(e);if(e instanceof Ref&&i instanceof Dict){const e={ref:r,dict:a};for(const t of n)t.structTreeParent=e}return!0}return!1};for(const e of s){if(!(e instanceof Ref))continue;const a=t.fetch(e),r=a.get("K");if(Number.isInteger(r))updateElement(r,a,e);else if(Array.isArray(r))for(let i of r){i=t.fetchIfRef(i);if(Number.isInteger(i)&&updateElement(i,a,e))break;if(!(i instanceof Dict))continue;if(!isName(i.get("Type"),"MCR"))break;const r=i.get("MCID");if(Number.isInteger(r)&&updateElement(r,a,e))break}}}static async#ae({structTreeParent:e,tagDict:t,newTagRef:a,structTreeRootRef:r,fallbackKids:i,xref:n,cache:s}){let o,c=null;if(e){({ref:c}=e);o=e.dict.getRaw("P")||r}else o=r;t.set("P",o);const l=n.fetchIfRef(o);if(!l){i.push(a);return}let h=s.get(o);if(!h){h=l.clone();s.put(o,h)}const u=h.getRaw("K");let d=u instanceof Ref?s.get(u):null;if(!d){d=n.fetchIfRef(u);d=Array.isArray(d)?d.slice():[u];const e=n.getNewTemporaryRef();h.set("K",e);s.put(e,d)}const f=d.indexOf(c);d.splice(f>=0?f+1:d.length,0,a)}}class StructElementNode{constructor(e,t){this.tree=e;this.xref=e.xref;this.dict=t;this.kids=[];this.parseKids()}get role(){const e=this.dict.get("S"),t=e instanceof Name?e.name:"",{root:a}=this.tree;return a.roleMap.get(t)??t}parseKids(){let e=null;const t=this.dict.getRaw("Pg");t instanceof Ref&&(e=t.toString());const a=this.dict.get("K");if(Array.isArray(a))for(const t of a){const a=this.parseKid(e,this.xref.fetchIfRef(t));a&&this.kids.push(a)}else{const t=this.parseKid(e,a);t&&this.kids.push(t)}}parseKid(e,t){if(Number.isInteger(t))return this.tree.pageDict.objId!==e?null:new StructElement({type:zn,mcid:t,pageObjId:e});if(!(t instanceof Dict))return null;const a=t.getRaw("Pg");a instanceof Ref&&(e=a.toString());const r=t.get("Type")instanceof Name?t.get("Type").name:null;if("MCR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Stm");return new StructElement({type:$n,refObjId:a instanceof Ref?a.toString():null,pageObjId:e,mcid:t.get("MCID")})}if("OBJR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Obj");return new StructElement({type:Gn,refObjId:a instanceof Ref?a.toString():null,pageObjId:e})}return new StructElement({type:Kn,dict:t})}}class StructElement{constructor({type:e,dict:t=null,mcid:a=null,pageObjId:r=null,refObjId:i=null}){this.type=e;this.dict=t;this.mcid=a;this.pageObjId=r;this.refObjId=i;this.parentNode=null}}class StructTreePage{constructor(e,t){this.root=e;this.xref=e?.xref??null;this.rootDict=e?.dict??null;this.pageDict=t;this.nodes=[]}collectObjects(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return null;const t=this.rootDict.get("ParentTree");if(!t)return null;const a=this.root.structParentIds?.get(e);if(!a)return null;const r=new Map,i=new NumberTree(t,this.xref);for(const[e]of a){const t=i.getRaw(e);t instanceof Ref&&r.set(e,t)}return r}parse(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return;const t=this.rootDict.get("ParentTree");if(!t)return;const a=this.pageDict.get("StructParents"),r=this.root.structParentIds?.get(e);if(!Number.isInteger(a)&&!r)return;const i=new Map,n=new NumberTree(t,this.xref);if(Number.isInteger(a)){const e=n.get(a);if(Array.isArray(e))for(const t of e)t instanceof Ref&&this.addNode(this.xref.fetch(t),i)}if(r)for(const[e,t]of r){const a=n.get(e);if(a){const e=this.addNode(this.xref.fetchIfRef(a),i);1===e?.kids?.length&&e.kids[0].type===Gn&&(e.kids[0].type=t)}}}addNode(e,t,a=0){if(a>40){warn("StructTree MAX_DEPTH reached.");return null}if(!(e instanceof Dict))return null;if(t.has(e))return t.get(e);const r=new StructElementNode(this,e);t.set(e,r);const i=e.get("P");if(!(i instanceof Dict)||isName(i.get("Type"),"StructTreeRoot")){this.addTopLevelNode(e,r)||t.delete(e);return r}const n=this.addNode(i,t,a+1);if(!n)return r;let s=!1;for(const t of n.kids)if(t.type===Kn&&t.dict===e){t.parentNode=r;s=!0}s||t.delete(e);return r}addTopLevelNode(e,t){const a=this.rootDict.get("K");if(!a)return!1;if(a instanceof Dict){if(a.objId!==e.objId)return!1;this.nodes[0]=t;return!0}if(!Array.isArray(a))return!0;let r=!1;for(let i=0;i<a.length;i++){const n=a[i];if(n?.toString()===e.objId){this.nodes[i]=t;r=!0}}return r}get serializable(){function nodeToSerializable(e,t,a=0){if(a>40){warn("StructTree too deep to be fully serialized.");return}const r=Object.create(null);r.role=e.role;r.children=[];t.children.push(r);let i=e.dict.get("Alt");"string"!=typeof i&&(i=e.dict.get("ActualText"));"string"==typeof i&&(r.alt=stringToPDFString(i));const n=e.dict.get("A");if(n instanceof Dict){const e=lookupNormalRect(n.getArray("BBox"),null);if(e)r.bbox=e;else{const e=n.get("Width"),t=n.get("Height");"number"==typeof e&&e>0&&"number"==typeof t&&t>0&&(r.bbox=[0,0,e,t])}}const s=e.dict.get("Lang");"string"==typeof s&&(r.lang=stringToPDFString(s));for(const t of e.kids){const e=t.type===Kn?t.parentNode:null;e?nodeToSerializable(e,r,a+1):t.type===zn||t.type===$n?r.children.push({type:"content",id:`p${t.pageObjId}_mc${t.mcid}`}):t.type===Gn?r.children.push({type:"object",id:t.refObjId}):t.type===Vn&&r.children.push({type:"annotation",id:`pdfjs_internal_id_${t.refObjId}`})}}const e=Object.create(null);e.children=[];e.role="Root";for(const t of this.nodes)t&&nodeToSerializable(t,e);return e}}const Jn=function _isValidExplicitDest(e,t,a){if(!Array.isArray(a)||a.length<2)return!1;const[r,i,...n]=a;if(!e(r)&&!Number.isInteger(r))return!1;if(!t(i))return!1;const s=n.length;let o=!0;switch(i.name){case"XYZ":if(s<2||s>3)return!1;break;case"Fit":case"FitB":return 0===s;case"FitH":case"FitBH":case"FitV":case"FitBV":if(s>1)return!1;break;case"FitR":if(4!==s)return!1;o=!1;break;default:return!1}for(const e of n)if(!("number"==typeof e||o&&null===e))return!1;return!0}.bind(null,(e=>e instanceof Ref),isName);function fetchDest(e){e instanceof Dict&&(e=e.get("D"));return Jn(e)?e:null}function fetchRemoteDest(e){let t=e.get("D");if(t){t instanceof Name&&(t=t.name);if("string"==typeof t)return stringToPDFString(t,!0);if(Jn(t))return JSON.stringify(t)}return null}class Catalog{#re=null;#ie=null;builtInCMapCache=new Map;fontCache=new RefSetCache;globalColorSpaceCache=new GlobalColorSpaceCache;globalImageCache=new GlobalImageCache;nonBlendModesSet=new RefSet;pageDictCache=new RefSetCache;pageIndexCache=new RefSetCache;pageKidsCountCache=new RefSetCache;standardFontDataCache=new Map;systemFontCache=new Map;constructor(e,t){this.pdfManager=e;this.xref=t;this.#ie=t.getCatalogObj();if(!(this.#ie instanceof Dict))throw new FormatError("Catalog object is not a dictionary.");this.toplevelPagesDict}cloneDict(){return this.#ie.clone()}get version(){const e=this.#ie.get("Version");if(e instanceof Name){if(Ca.test(e.name))return shadow(this,"version",e.name);warn(`Invalid PDF catalog version: ${e.name}`)}return shadow(this,"version",null)}get lang(){const e=this.#ie.get("Lang");return shadow(this,"lang",e&&"string"==typeof e?stringToPDFString(e):null)}get needsRendering(){const e=this.#ie.get("NeedsRendering");return shadow(this,"needsRendering","boolean"==typeof e&&e)}get collection(){let e=null;try{const t=this.#ie.get("Collection");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch Collection entry; assuming no collection is present.")}return shadow(this,"collection",e)}get acroForm(){let e=null;try{const t=this.#ie.get("AcroForm");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch AcroForm entry; assuming no forms are present.")}return shadow(this,"acroForm",e)}get acroFormRef(){const e=this.#ie.getRaw("AcroForm");return shadow(this,"acroFormRef",e instanceof Ref?e:null)}get metadata(){const e=this.#ie.getRaw("Metadata");if(!(e instanceof Ref))return shadow(this,"metadata",null);let t=null;try{const a=this.xref.fetch(e,!this.xref.encrypt?.encryptMetadata);if(a instanceof BaseStream&&a.dict instanceof Dict){const e=a.dict.get("Type"),r=a.dict.get("Subtype");if(isName(e,"Metadata")&&isName(r,"XML")){const e=stringToUTF8String(a.getString());e&&(t=new MetadataParser(e).serializable)}}}catch(e){if(e instanceof MissingDataException)throw e;info(`Skipping invalid Metadata: "${e}".`)}return shadow(this,"metadata",t)}get markInfo(){let e=null;try{e=this.#ne()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read mark info.")}return shadow(this,"markInfo",e)}#ne(){const e=this.#ie.get("MarkInfo");if(!(e instanceof Dict))return null;const t={Marked:!1,UserProperties:!1,Suspects:!1};for(const a in t){const r=e.get(a);"boolean"==typeof r&&(t[a]=r)}return t}get structTreeRoot(){let e=null;try{e=this.#se()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable read to structTreeRoot info.")}return shadow(this,"structTreeRoot",e)}#se(){const e=this.#ie.getRaw("StructTreeRoot"),t=this.xref.fetchIfRef(e);if(!(t instanceof Dict))return null;const a=new StructTreeRoot(this.xref,t,e);a.init();return a}get toplevelPagesDict(){const e=this.#ie.get("Pages");if(!(e instanceof Dict))throw new FormatError("Invalid top-level pages dictionary.");return shadow(this,"toplevelPagesDict",e)}get documentOutline(){let e=null;try{e=this.#oe()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read document outline.")}return shadow(this,"documentOutline",e)}#oe(){let e=this.#ie.get("Outlines");if(!(e instanceof Dict))return null;e=e.getRaw("First");if(!(e instanceof Ref))return null;const t={items:[]},a=[{obj:e,parent:t}],r=new RefSet;r.put(e);const i=this.xref,n=new Uint8ClampedArray(3);for(;a.length>0;){const t=a.shift(),s=i.fetchIfRef(t.obj);if(null===s)continue;s.has("Title")||warn("Invalid outline item encountered.");const o={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:s,resultObj:o,docBaseUrl:this.baseUrl,docAttachments:this.attachments});const c=s.get("Title"),l=s.get("F")||0,h=s.getArray("C"),u=s.get("Count");let d=n;!isNumberArray(h,3)||0===h[0]&&0===h[1]&&0===h[2]||(d=ColorSpaceUtils.rgb.getRgb(h,0));const f={action:o.action,attachment:o.attachment,dest:o.dest,url:o.url,unsafeUrl:o.unsafeUrl,newWindow:o.newWindow,setOCGState:o.setOCGState,title:"string"==typeof c?stringToPDFString(c):"",color:d,count:Number.isInteger(u)?u:void 0,bold:!!(2&l),italic:!!(1&l),items:[]};t.parent.items.push(f);e=s.getRaw("First");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:f});r.put(e)}e=s.getRaw("Next");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:t.parent});r.put(e)}}return t.items.length>0?t.items:null}get permissions(){let e=null;try{e=this.#ce()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read permissions.")}return shadow(this,"permissions",e)}#ce(){const e=this.xref.trailer.get("Encrypt");if(!(e instanceof Dict))return null;let t=e.get("P");if("number"!=typeof t)return null;t+=2**32;const a=[];for(const e in w){const r=w[e];t&r&&a.push(r)}return a}get optionalContentConfig(){let e=null;try{const t=this.#ie.get("OCProperties");if(!t)return shadow(this,"optionalContentConfig",null);const a=t.get("D");if(!a)return shadow(this,"optionalContentConfig",null);const r=t.get("OCGs");if(!Array.isArray(r))return shadow(this,"optionalContentConfig",null);const i=new RefSetCache;for(const e of r)e instanceof Ref&&!i.has(e)&&i.put(e,this.#le(e));e=this.#he(a,i)}catch(e){if(e instanceof MissingDataException)throw e;warn(`Unable to read optional content config: ${e}`)}return shadow(this,"optionalContentConfig",e)}#le(e){const t=this.xref.fetch(e),a={id:e.toString(),name:null,intent:null,usage:{print:null,view:null},rbGroups:[]},r=t.get("Name");"string"==typeof r&&(a.name=stringToPDFString(r));let i=t.getArray("Intent");Array.isArray(i)||(i=[i]);i.every((e=>e instanceof Name))&&(a.intent=i.map((e=>e.name)));const n=t.get("Usage");if(!(n instanceof Dict))return a;const s=a.usage,o=n.get("Print");if(o instanceof Dict){const e=o.get("PrintState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.print={printState:e.name}}}const c=n.get("View");if(c instanceof Dict){const e=c.get("ViewState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.view={viewState:e.name}}}return a}#he(e,t){function parseOnOff(e){const a=[];if(Array.isArray(e))for(const r of e)r instanceof Ref&&t.has(r)&&a.push(r.toString());return a}function parseOrder(e,a=0){if(!Array.isArray(e))return null;const i=[];for(const n of e){if(n instanceof Ref&&t.has(n)){r.put(n);i.push(n.toString());continue}const e=parseNestedOrder(n,a);e&&i.push(e)}if(a>0)return i;const n=[];for(const[e]of t.items())r.has(e)||n.push(e.toString());n.length&&i.push({name:null,order:n});return i}function parseNestedOrder(e,t){if(++t>i){warn("parseNestedOrder - reached MAX_NESTED_LEVELS.");return null}const r=a.fetchIfRef(e);if(!Array.isArray(r))return null;const n=a.fetchIfRef(r[0]);if("string"!=typeof n)return null;const s=parseOrder(r.slice(1),t);return s?.length?{name:stringToPDFString(n),order:s}:null}const a=this.xref,r=new RefSet,i=10;!function parseRBGroups(e){if(Array.isArray(e))for(const r of e){const e=a.fetchIfRef(r);if(!Array.isArray(e)||!e.length)continue;const i=new Set;for(const a of e)if(a instanceof Ref&&t.has(a)&&!i.has(a.toString())){i.add(a.toString());t.get(a).rbGroups.push(i)}}}(e.get("RBGroups"));return{name:"string"==typeof e.get("Name")?stringToPDFString(e.get("Name")):null,creator:"string"==typeof e.get("Creator")?stringToPDFString(e.get("Creator")):null,baseState:e.get("BaseState")instanceof Name?e.get("BaseState").name:null,on:parseOnOff(e.get("ON")),off:parseOnOff(e.get("OFF")),order:parseOrder(e.get("Order")),groups:[...t]}}setActualNumPages(e=null){this.#re=e}get hasActualNumPages(){return null!==this.#re}get _pagesCount(){const e=this.toplevelPagesDict.get("Count");if(!Number.isInteger(e))throw new FormatError("Page count in top-level pages dictionary is not an integer.");return shadow(this,"_pagesCount",e)}get numPages(){return this.#re??this._pagesCount}get destinations(){const e=this.#ue(),t=Object.create(null);for(const a of e)if(a instanceof NameTree)for(const[e,r]of a.getAll()){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]=a)}else if(a instanceof Dict)for(const[e,r]of a){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]||=a)}return shadow(this,"destinations",t)}getDestination(e){if(this.hasOwnProperty("destinations"))return this.destinations[e]??null;const t=this.#ue();for(const a of t)if(a instanceof NameTree||a instanceof Dict){const t=fetchDest(a.get(e));if(t)return t}if(t.length){const t=this.destinations[e];if(t)return t}return null}#ue(){const e=this.#ie.get("Names"),t=[];e?.has("Dests")&&t.push(new NameTree(e.getRaw("Dests"),this.xref));this.#ie.has("Dests")&&t.push(this.#ie.get("Dests"));return t}get pageLabels(){let e=null;try{e=this.#de()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read page labels.")}return shadow(this,"pageLabels",e)}#de(){const e=this.#ie.getRaw("PageLabels");if(!e)return null;const t=new Array(this.numPages);let a=null,r="";const i=new NumberTree(e,this.xref).getAll();let n="",s=1;for(let e=0,o=this.numPages;e<o;e++){const o=i.get(e);if(void 0!==o){if(!(o instanceof Dict))throw new FormatError("PageLabel is not a dictionary.");if(o.has("Type")&&!isName(o.get("Type"),"PageLabel"))throw new FormatError("Invalid type in PageLabel dictionary.");if(o.has("S")){const e=o.get("S");if(!(e instanceof Name))throw new FormatError("Invalid style in PageLabel dictionary.");a=e.name}else a=null;if(o.has("P")){const e=o.get("P");if("string"!=typeof e)throw new FormatError("Invalid prefix in PageLabel dictionary.");r=stringToPDFString(e)}else r="";if(o.has("St")){const e=o.get("St");if(!(Number.isInteger(e)&&e>=1))throw new FormatError("Invalid start in PageLabel dictionary.");s=e}else s=1}switch(a){case"D":n=s;break;case"R":case"r":n=toRomanNumerals(s,"r"===a);break;case"A":case"a":const e=26,t="a"===a?97:65,r=s-1;n=String.fromCharCode(t+r%e).repeat(Math.floor(r/e)+1);break;default:if(a)throw new FormatError(`Invalid style "${a}" in PageLabel dictionary.`);n=""}t[e]=r+n;s++}return t}get pageLayout(){const e=this.#ie.get("PageLayout");let t="";if(e instanceof Name)switch(e.name){case"SinglePage":case"OneColumn":case"TwoColumnLeft":case"TwoColumnRight":case"TwoPageLeft":case"TwoPageRight":t=e.name}return shadow(this,"pageLayout",t)}get pageMode(){const e=this.#ie.get("PageMode");let t="UseNone";if(e instanceof Name)switch(e.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"FullScreen":case"UseOC":case"UseAttachments":t=e.name}return shadow(this,"pageMode",t)}get viewerPreferences(){const e=this.#ie.get("ViewerPreferences");if(!(e instanceof Dict))return shadow(this,"viewerPreferences",null);let t=null;for(const[a,r]of e){let e;switch(a){case"HideToolbar":case"HideMenubar":case"HideWindowUI":case"FitWindow":case"CenterWindow":case"DisplayDocTitle":case"PickTrayByPDFSize":"boolean"==typeof r&&(e=r);break;case"NonFullScreenPageMode":if(r instanceof Name)switch(r.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"UseOC":e=r.name;break;default:e="UseNone"}break;case"Direction":if(r instanceof Name)switch(r.name){case"L2R":case"R2L":e=r.name;break;default:e="L2R"}break;case"ViewArea":case"ViewClip":case"PrintArea":case"PrintClip":if(r instanceof Name)switch(r.name){case"MediaBox":case"CropBox":case"BleedBox":case"TrimBox":case"ArtBox":e=r.name;break;default:e="CropBox"}break;case"PrintScaling":if(r instanceof Name)switch(r.name){case"None":case"AppDefault":e=r.name;break;default:e="AppDefault"}break;case"Duplex":if(r instanceof Name)switch(r.name){case"Simplex":case"DuplexFlipShortEdge":case"DuplexFlipLongEdge":e=r.name;break;default:e="None"}break;case"PrintPageRange":if(Array.isArray(r)&&r.length%2==0){r.every(((e,t,a)=>Number.isInteger(e)&&e>0&&(0===t||e>=a[t-1])&&e<=this.numPages))&&(e=r)}break;case"NumCopies":Number.isInteger(r)&&r>0&&(e=r);break;default:warn(`Ignoring non-standard key in ViewerPreferences: ${a}.`);continue}if(void 0!==e){t??=Object.create(null);t[a]=e}else warn(`Bad value, for key "${a}", in ViewerPreferences: ${r}.`)}return shadow(this,"viewerPreferences",t)}get openAction(){const e=this.#ie.get("OpenAction"),t=Object.create(null);if(e instanceof Dict){const a=new Dict(this.xref);a.set("A",e);const r={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:a,resultObj:r});Array.isArray(r.dest)?t.dest=r.dest:r.action&&(t.action=r.action)}else Jn(e)&&(t.dest=e);return shadow(this,"openAction",objectSize(t)>0?t:null)}get attachments(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("EmbeddedFiles")){const a=new NameTree(e.getRaw("EmbeddedFiles"),this.xref);for(const[e,r]of a.getAll()){const a=new FileSpec(r,this.xref);t??=Object.create(null);t[stringToPDFString(e,!0)]=a.serializable}}return shadow(this,"attachments",t)}get xfaImages(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("XFAImages")){const a=new NameTree(e.getRaw("XFAImages"),this.xref);for(const[e,r]of a.getAll())if(r instanceof BaseStream){t??=new Map;t.set(stringToPDFString(e,!0),r.getBytes())}}return shadow(this,"xfaImages",t)}#fe(){const e=this.#ie.get("Names");let t=null;function appendIfJavaScriptDict(e,a){if(!(a instanceof Dict))return;if(!isName(a.get("S"),"JavaScript"))return;let r=a.get("JS");if(r instanceof BaseStream)r=r.getString();else if("string"!=typeof r)return;r=stringToPDFString(r,!0).replaceAll("\\0","");r&&(t||=new Map).set(e,r)}if(e instanceof Dict&&e.has("JavaScript")){const t=new NameTree(e.getRaw("JavaScript"),this.xref);for(const[e,a]of t.getAll())appendIfJavaScriptDict(stringToPDFString(e,!0),a)}const a=this.#ie.get("OpenAction");a&&appendIfJavaScriptDict("OpenAction",a);return t}get jsActions(){const e=this.#fe();let t=collectActions(this.xref,this.#ie,we);if(e){t||=Object.create(null);for(const[a,r]of e)a in t?t[a].push(r):t[a]=[r]}return shadow(this,"jsActions",t)}async cleanup(e=!1){clearGlobalCaches();this.globalColorSpaceCache.clear();this.globalImageCache.clear(e);this.pageKidsCountCache.clear();this.pageIndexCache.clear();this.pageDictCache.clear();this.nonBlendModesSet.clear();for(const{dict:e}of await Promise.all(this.fontCache))delete e.cacheKey;this.fontCache.clear();this.builtInCMapCache.clear();this.standardFontDataCache.clear();this.systemFontCache.clear()}async getPageDict(e){const t=[this.toplevelPagesDict],a=new RefSet,r=this.#ie.getRaw("Pages");r instanceof Ref&&a.put(r);const i=this.xref,n=this.pageKidsCountCache,s=this.pageIndexCache,o=this.pageDictCache;let c=0;for(;t.length;){const r=t.pop();if(r instanceof Ref){const l=n.get(r);if(l>=0&&c+l<=e){c+=l;continue}if(a.has(r))throw new FormatError("Pages tree contains circular reference.");a.put(r);const h=await(o.get(r)||i.fetchAsync(r));if(h instanceof Dict){let t=h.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!h.has("Kids")){n.has(r)||n.put(r,1);s.has(r)||s.put(r,c);if(c===e)return[h,r];c++;continue}}t.push(h);continue}if(!(r instanceof Dict))throw new FormatError("Page dictionary kid reference points to wrong type of object.");const{objId:l}=r;let h=r.getRaw("Count");h instanceof Ref&&(h=await i.fetchAsync(h));if(Number.isInteger(h)&&h>=0){l&&!n.has(l)&&n.put(l,h);if(c+h<=e){c+=h;continue}}let u=r.getRaw("Kids");u instanceof Ref&&(u=await i.fetchAsync(u));if(!Array.isArray(u)){let t=r.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!r.has("Kids")){if(c===e)return[r,null];c++;continue}throw new FormatError("Page dictionary kids object is not an array.")}for(let e=u.length-1;e>=0;e--){const a=u[e];t.push(a);r===this.toplevelPagesDict&&a instanceof Ref&&!o.has(a)&&o.put(a,i.fetchAsync(a))}}throw new Error(`Page index ${e} not found.`)}async getAllPageDicts(e=!1){const{ignoreErrors:t}=this.pdfManager.evaluatorOptions,a=[{currentNode:this.toplevelPagesDict,posInKids:0}],r=new RefSet,i=this.#ie.getRaw("Pages");i instanceof Ref&&r.put(i);const n=new Map,s=this.xref,o=this.pageIndexCache;let c=0;function addPageDict(e,t){t&&!o.has(t)&&o.put(t,c);n.set(c++,[e,t])}function addPageError(a){if(a instanceof XRefEntryException&&!e)throw a;if(e&&t&&0===c){warn(`getAllPageDicts - Skipping invalid first page: "${a}".`);a=Dict.empty}n.set(c++,[a,null])}for(;a.length>0;){const e=a.at(-1),{currentNode:t,posInKids:i}=e;let n=t.getRaw("Kids");if(n instanceof Ref)try{n=await s.fetchAsync(n)}catch(e){addPageError(e);break}if(!Array.isArray(n)){addPageError(new FormatError("Page dictionary kids object is not an array."));break}if(i>=n.length){a.pop();continue}const o=n[i];let c;if(o instanceof Ref){if(r.has(o)){addPageError(new FormatError("Pages tree contains circular reference."));break}r.put(o);try{c=await s.fetchAsync(o)}catch(e){addPageError(e);break}}else c=o;if(!(c instanceof Dict)){addPageError(new FormatError("Page dictionary kid reference points to wrong type of object."));break}let l=c.getRaw("Type");if(l instanceof Ref)try{l=await s.fetchAsync(l)}catch(e){addPageError(e);break}isName(l,"Page")||!c.has("Kids")?addPageDict(c,o instanceof Ref?o:null):a.push({currentNode:c,posInKids:0});e.posInKids++}return n}getPageIndex(e){const t=this.pageIndexCache.get(e);if(void 0!==t)return Promise.resolve(t);const a=this.xref;let r=0;const next=t=>function pagesBeforeRef(t){let r,i=0;return a.fetchAsync(t).then((function(a){if(isRefsEqual(t,e)&&!isDict(a,"Page")&&!(a instanceof Dict&&!a.has("Type")&&a.has("Contents")))throw new FormatError("The reference does not point to a /Page dictionary.");if(!a)return null;if(!(a instanceof Dict))throw new FormatError("Node must be a dictionary.");r=a.getRaw("Parent");return a.getAsync("Parent")})).then((function(e){if(!e)return null;if(!(e instanceof Dict))throw new FormatError("Parent must be a dictionary.");return e.getAsync("Kids")})).then((function(e){if(!e)return null;const n=[];let s=!1;for(const r of e){if(!(r instanceof Ref))throw new FormatError("Kid must be a reference.");if(isRefsEqual(r,t)){s=!0;break}n.push(a.fetchAsync(r).then((function(e){if(!(e instanceof Dict))throw new FormatError("Kid node must be a dictionary.");e.has("Count")?i+=e.get("Count"):i++})))}if(!s)throw new FormatError("Kid reference not found in parent\'s kids.");return Promise.all(n).then((()=>[i,r]))}))}(t).then((t=>{if(!t){this.pageIndexCache.put(e,r);return r}const[a,i]=t;r+=a;return next(i)}));return next(e)}get baseUrl(){const e=this.#ie.get("URI");if(e instanceof Dict){const t=e.get("Base");if("string"==typeof t){const e=createValidAbsoluteUrl(t,null,{tryConvertEncoding:!0});if(e)return shadow(this,"baseUrl",e.href)}}return shadow(this,"baseUrl",this.pdfManager.docBaseUrl)}static parseDestDictionary({destDict:e,resultObj:t,docBaseUrl:a=null,docAttachments:r=null}){if(!(e instanceof Dict)){warn("parseDestDictionary: `destDict` must be a dictionary.");return}let i,n,s=e.get("A");if(!(s instanceof Dict))if(e.has("Dest"))s=e.get("Dest");else{s=e.get("AA");s instanceof Dict&&(s.has("D")?s=s.get("D"):s.has("U")&&(s=s.get("U")))}if(s instanceof Dict){const e=s.get("S");if(!(e instanceof Name)){warn("parseDestDictionary: Invalid type in Action dictionary.");return}const a=e.name;switch(a){case"ResetForm":const e=s.get("Flags"),o=!(1&("number"==typeof e?e:0)),c=[],l=[];for(const e of s.get("Fields")||[])e instanceof Ref?l.push(e.toString()):"string"==typeof e&&c.push(stringToPDFString(e));t.resetForm={fields:c,refs:l,include:o};break;case"URI":i=s.get("URI");i instanceof Name&&(i="/"+i.name);break;case"GoTo":n=s.get("D");break;case"Launch":case"GoToR":const h=s.get("F");if(h instanceof Dict){const e=new FileSpec(h,null,!0),{rawFilename:t}=e.serializable;i=t}else"string"==typeof h&&(i=h);const u=fetchRemoteDest(s);u&&"string"==typeof i&&(i=i.split("#",1)[0]+"#"+u);const d=s.get("NewWindow");"boolean"==typeof d&&(t.newWindow=d);break;case"GoToE":const f=s.get("T");let g;if(r&&f instanceof Dict){const e=f.get("R"),t=f.get("N");isName(e,"C")&&"string"==typeof t&&(g=r[stringToPDFString(t,!0)])}if(g){t.attachment=g;const e=fetchRemoteDest(s);e&&(t.attachmentDest=e)}else warn(\'parseDestDictionary - unimplemented "GoToE" action.\');break;case"Named":const p=s.get("N");p instanceof Name&&(t.action=p.name);break;case"SetOCGState":const m=s.get("State"),b=s.get("PreserveRB");if(!Array.isArray(m)||0===m.length)break;const y=[];for(const e of m)if(e instanceof Name)switch(e.name){case"ON":case"OFF":case"Toggle":y.push(e.name)}else e instanceof Ref&&y.push(e.toString());if(y.length!==m.length)break;t.setOCGState={state:y,preserveRB:"boolean"!=typeof b||b};break;case"JavaScript":const w=s.get("JS");let x;w instanceof BaseStream?x=w.getString():"string"==typeof w&&(x=w);const S=x&&recoverJsURL(stringToPDFString(x,!0));if(S){i=S.url;t.newWindow=S.newWindow;break}default:if("JavaScript"===a||"SubmitForm"===a)break;warn(`parseDestDictionary - unsupported action: "${a}".`)}}else e.has("Dest")&&(n=e.get("Dest"));if("string"==typeof i){const e=createValidAbsoluteUrl(i,a,{addDefaultProtocol:!0,tryConvertEncoding:!0});e&&(t.url=e.href);t.unsafeUrl=i}if(n){n instanceof Name&&(n=n.name);"string"==typeof n?t.dest=stringToPDFString(n,!0):Jn(n)&&(t.dest=n)}}}function addChildren(e,t){if(e instanceof Dict)e=e.getRawValues();else if(e instanceof BaseStream)e=e.dict.getRawValues();else if(!Array.isArray(e))return;for(const r of e)((a=r)instanceof Ref||a instanceof Dict||a instanceof BaseStream||Array.isArray(a))&&t.push(r);var a}class ObjectLoader{refSet=new RefSet;constructor(e,t,a){this.dict=e;this.keys=t;this.xref=a}async load(){const{keys:e,dict:t}=this,a=[];for(const r of e){const e=t.getRaw(r);void 0!==e&&a.push(e)}await this.#ge(a);this.refSet=null}async#ge(e){const t=[],a=[];for(;e.length;){let r=e.pop();if(r instanceof Ref){if(this.refSet.has(r))continue;try{this.refSet.put(r);r=this.xref.fetch(r)}catch(e){if(!(e instanceof MissingDataException)){warn(`ObjectLoader.#walk - requesting all data: "${e}".`);await this.xref.stream.manager.requestAllChunks();return}t.push(r);a.push({begin:e.begin,end:e.end})}}if(r instanceof BaseStream){const e=r.getBaseStreams();if(e){let i=!1;for(const t of e)if(!t.isDataLoaded){i=!0;a.push({begin:t.start,end:t.end})}i&&t.push(r)}}addChildren(r,e)}if(a.length){await this.xref.stream.manager.requestRanges(a);for(const e of t)e instanceof Ref&&this.refSet.remove(e);await this.#ge(t)}}static async load(e,t,a){if(a.stream.isDataLoaded)return;const r=new ObjectLoader(e,t,a);await r.load()}}const Yn=Symbol(),Zn=Symbol(),Qn=Symbol(),es=Symbol(),ts=Symbol(),as=Symbol(),rs=Symbol(),is=Symbol(),ns=Symbol(),ss=Symbol("content"),os=Symbol("data"),cs=Symbol(),ls=Symbol("extra"),hs=Symbol(),us=Symbol(),ds=Symbol(),fs=Symbol(),gs=Symbol(),ps=Symbol(),ms=Symbol(),bs=Symbol(),ys=Symbol(),ws=Symbol(),xs=Symbol(),Ss=Symbol(),As=Symbol(),ks=Symbol(),Cs=Symbol(),vs=Symbol(),Fs=Symbol(),Is=Symbol(),Ts=Symbol(),Os=Symbol(),Ms=Symbol(),Ds=Symbol(),Bs=Symbol(),Rs=Symbol(),Ns=Symbol(),Es=Symbol(),Ls=Symbol(),js=Symbol(),_s=Symbol(),Us=Symbol(),Xs=Symbol(),qs=Symbol(),Hs=Symbol("namespaceId"),Ws=Symbol("nodeName"),zs=Symbol(),$s=Symbol(),Gs=Symbol(),Vs=Symbol(),Ks=Symbol(),Js=Symbol(),Ys=Symbol(),Zs=Symbol(),Qs=Symbol("root"),eo=Symbol(),to=Symbol(),ao=Symbol(),ro=Symbol(),io=Symbol(),no=Symbol(),so=Symbol(),oo=Symbol(),co=Symbol(),lo=Symbol(),ho=Symbol(),uo=Symbol("uid"),fo=Symbol(),go={config:{id:0,check:e=>e.startsWith("http://www.xfa.org/schema/xci/")},connectionSet:{id:1,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-connection-set/")},datasets:{id:2,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-data/")},form:{id:3,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-form/")},localeSet:{id:4,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-locale-set/")},pdf:{id:5,check:e=>"http://ns.adobe.com/xdp/pdf/"===e},signature:{id:6,check:e=>"http://www.w3.org/2000/09/xmldsig#"===e},sourceSet:{id:7,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-source-set/")},stylesheet:{id:8,check:e=>"http://www.w3.org/1999/XSL/Transform"===e},template:{id:9,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-template/")},xdc:{id:10,check:e=>e.startsWith("http://www.xfa.org/schema/xdc/")},xdp:{id:11,check:e=>"http://ns.adobe.com/xdp/"===e},xfdf:{id:12,check:e=>"http://ns.adobe.com/xfdf/"===e},xhtml:{id:13,check:e=>"http://www.w3.org/1999/xhtml"===e},xmpmeta:{id:14,check:e=>"http://ns.adobe.com/xmpmeta/"===e}},po={pt:e=>e,cm:e=>e/2.54*72,mm:e=>e/25.4*72,in:e=>72*e,px:e=>e},mo=/([+-]?\\d+\\.?\\d*)(.*)/;function stripQuotes(e){return e.startsWith("\'")||e.startsWith(\'"\')?e.slice(1,-1):e}function getInteger({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseInt(e,10);return!isNaN(r)&&a(r)?r:t}function getFloat({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseFloat(e);return!isNaN(r)&&a(r)?r:t}function getKeyword({data:e,defaultValue:t,validate:a}){return e&&a(e=e.trim())?e:t}function getStringOption(e,t){return getKeyword({data:e,defaultValue:t[0],validate:e=>t.includes(e)})}function getMeasurement(e,t="0"){t||="0";if(!e)return getMeasurement(t);const a=e.trim().match(mo);if(!a)return getMeasurement(t);const[,r,i]=a,n=parseFloat(r);if(isNaN(n))return getMeasurement(t);if(0===n)return 0;const s=po[i];return s?s(n):n}function getRatio(e){if(!e)return{num:1,den:1};const t=e.split(":",2).map((e=>parseFloat(e.trim()))).filter((e=>!isNaN(e)));1===t.length&&t.push(1);if(0===t.length)return{num:1,den:1};const[a,r]=t;return{num:a,den:r}}function getRelevant(e){return e?e.trim().split(/\\s+/).map((e=>({excluded:"-"===e[0],viewname:e.substring(1)}))):[]}class HTMLResult{static get FAILURE(){return shadow(this,"FAILURE",new HTMLResult(!1,null,null,null))}static get EMPTY(){return shadow(this,"EMPTY",new HTMLResult(!0,null,null,null))}constructor(e,t,a,r){this.success=e;this.html=t;this.bbox=a;this.breakNode=r}isBreak(){return!!this.breakNode}static breakNode(e){return new HTMLResult(!1,null,null,e)}static success(e,t=null){return new HTMLResult(!0,e,t,null)}}class FontFinder{constructor(e){this.fonts=new Map;this.cache=new Map;this.warned=new Set;this.defaultFont=null;this.add(e)}add(e,t=null){for(const t of e)this.addPdfFont(t);for(const e of this.fonts.values())e.regular||(e.regular=e.italic||e.bold||e.bolditalic);if(!t||0===t.size)return;const a=this.fonts.get("PdfJS-Fallback-PdfJS-XFA");for(const e of t)this.fonts.set(e,a)}addPdfFont(e){const t=e.cssFontInfo,a=t.fontFamily;let r=this.fonts.get(a);if(!r){r=Object.create(null);this.fonts.set(a,r);this.defaultFont||(this.defaultFont=r)}let i="";const n=parseFloat(t.fontWeight);0!==parseFloat(t.italicAngle)?i=n>=700?"bolditalic":"italic":n>=700&&(i="bold");if(!i){(e.name.includes("Bold")||e.psName?.includes("Bold"))&&(i="bold");(e.name.includes("Italic")||e.name.endsWith("It")||e.psName?.includes("Italic")||e.psName?.endsWith("It"))&&(i+="italic")}i||(i="regular");r[i]=e}getDefault(){return this.defaultFont}find(e,t=!0){let a=this.fonts.get(e)||this.cache.get(e);if(a)return a;const r=/,|-|_| |bolditalic|bold|italic|regular|it/gi;let i=e.replaceAll(r,"");a=this.fonts.get(i);if(a){this.cache.set(e,a);return a}i=i.toLowerCase();const n=[];for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t);if(0===n.length)for(const[,e]of this.fonts.entries())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(0===n.length){i=i.replaceAll(/psmt|mt/gi,"");for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t)}if(0===n.length)for(const e of this.fonts.values())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(n.length>=1){1!==n.length&&t&&warn(`XFA - Too many choices to guess the correct font: ${e}`);this.cache.set(e,n[0]);return n[0]}if(t&&!this.warned.has(e)){this.warned.add(e);warn(`XFA - Cannot find the font: ${e}`)}return null}}function selectFont(e,t){return"italic"===e.posture?"bold"===e.weight?t.bolditalic:t.italic:"bold"===e.weight?t.bold:t.regular}class FontInfo{constructor(e,t,a,r){this.lineHeight=a;this.paraMargin=t||{top:0,bottom:0,left:0,right:0};if(!e){[this.pdfFont,this.xfaFont]=this.defaultFont(r);return}this.xfaFont={typeface:e.typeface,posture:e.posture,weight:e.weight,size:e.size,letterSpacing:e.letterSpacing};const i=r.find(e.typeface);if(i){this.pdfFont=selectFont(e,i);this.pdfFont||([this.pdfFont,this.xfaFont]=this.defaultFont(r))}else[this.pdfFont,this.xfaFont]=this.defaultFont(r)}defaultFont(e){const t=e.find("Helvetica",!1)||e.find("Myriad Pro",!1)||e.find("Arial",!1)||e.getDefault();if(t?.regular){const e=t.regular;return[e,{typeface:e.cssFontInfo.fontFamily,posture:"normal",weight:"normal",size:10,letterSpacing:0}]}return[null,{typeface:"Courier",posture:"normal",weight:"normal",size:10,letterSpacing:0}]}}class FontSelector{constructor(e,t,a,r){this.fontFinder=r;this.stack=[new FontInfo(e,t,a,r)]}pushData(e,t,a){const r=this.stack.at(-1);for(const t of["typeface","posture","weight","size","letterSpacing"])e[t]||(e[t]=r.xfaFont[t]);for(const e of["top","bottom","left","right"])isNaN(t[e])&&(t[e]=r.paraMargin[e]);const i=new FontInfo(e,t,a||r.lineHeight,this.fontFinder);i.pdfFont||(i.pdfFont=r.pdfFont);this.stack.push(i)}popFont(){this.stack.pop()}topFont(){return this.stack.at(-1)}}class TextMeasure{constructor(e,t,a,r){this.glyphs=[];this.fontSelector=new FontSelector(e,t,a,r);this.extraHeight=0}pushData(e,t,a){this.fontSelector.pushData(e,t,a)}popFont(e){return this.fontSelector.popFont()}addPara(){const e=this.fontSelector.topFont();this.extraHeight+=e.paraMargin.top+e.paraMargin.bottom}addString(e){if(!e)return;const t=this.fontSelector.topFont(),a=t.xfaFont.size;if(t.pdfFont){const r=t.xfaFont.letterSpacing,i=t.pdfFont,n=i.lineHeight||1.2,s=t.lineHeight||Math.max(1.2,n)*a,o=n-(void 0===i.lineGap?.2:i.lineGap),c=Math.max(1,o)*a,l=a/1e3,h=i.defaultWidth||i.charsToGlyphs(" ")[0].width;for(const t of e.split(/[\\u2029\\n]/)){const e=i.encodeString(t).join(""),a=i.charsToGlyphs(e);for(const e of a){const t=e.width||h;this.glyphs.push([t*l+r,s,c,e.unicode,!1])}this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}else{for(const t of e.split(/[\\u2029\\n]/)){for(const e of t.split(""))this.glyphs.push([a,1.2*a,a,e,!1]);this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}}compute(e){let t=-1,a=0,r=0,i=0,n=0,s=0,o=!1,c=!0;for(let l=0,h=this.glyphs.length;l<h;l++){const[h,u,d,f,g]=this.glyphs[l],p=" "===f,m=c?d:u;if(g){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;c=!1}else if(p)if(n+h>e){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;o=!0;c=!1}else{s=Math.max(m,s);a=n;n+=h;t=l}else if(n+h>e){i+=s;s=m;if(-1!==t){l=t;r=Math.max(r,a);n=0;t=-1;a=0}else{r=Math.max(r,n);n=h}o=!0;c=!1}else{n+=h;s=Math.max(m,s)}}r=Math.max(r,n);i+=s+this.extraHeight;return{width:1.02*r,height:i,isBroken:o}}}const bo=/^[^.[]+/,yo=/^[^\\]]+/,wo=0,xo=1,So=2,Ao=3,ko=4,Co=new Map([["$data",(e,t)=>e.datasets?e.datasets.data:e],["$record",(e,t)=>(e.datasets?e.datasets.data:e)[Ss]()[0]],["$template",(e,t)=>e.template],["$connectionSet",(e,t)=>e.connectionSet],["$form",(e,t)=>e.form],["$layout",(e,t)=>e.layout],["$host",(e,t)=>e.host],["$dataWindow",(e,t)=>e.dataWindow],["$event",(e,t)=>e.event],["!",(e,t)=>e.datasets],["$xfa",(e,t)=>e],["xfa",(e,t)=>e],["$",(e,t)=>t]]),vo=new WeakMap;function parseExpression(e,t,a=!0){let r=e.match(bo);if(!r)return null;let[i]=r;const n=[{name:i,cacheName:"."+i,index:0,js:null,formCalc:null,operator:wo}];let s=i.length;for(;s<e.length;){const c=s;if("["===e.charAt(s++)){r=e.slice(s).match(yo);if(!r){warn("XFA - Invalid index in SOM expression");return null}n.at(-1).index="*"===(o=(o=r[0]).trim())?1/0:parseInt(o,10)||0;s+=r[0].length+1;continue}let l;switch(e.charAt(s)){case".":if(!t)return null;s++;l=xo;break;case"#":s++;l=So;break;case"[":if(a){warn("XFA - SOM expression contains a FormCalc subexpression which is not 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null;c=-1;e=[t]}}return 0===e.length?null:e}function createDataNode(e,t,a){const r=parseExpression(a);if(!r)return null;if(r.some((e=>e.operator===xo)))return null;const i=Co.get(r[0].name);let n=0;if(i){e=i(e,t);n=1}else e=t||e;for(let t=r.length;n<t;n++){const{name:t,operator:a,index:i}=r[n];if(!isFinite(i)){r[n].index=0;return e.createNodes(r.slice(n))}let s;switch(a){case wo:s=e[ms](t,!1);break;case xo:s=e[ms](t,!0);break;case So:s=e[ps](t);s=s.isXFAObjectArray?s.children:[s]}if(0===s.length)return e.createNodes(r.slice(n));if(!(i<s.length)){r[n].index=i-s.length;return e.createNodes(r.slice(n))}{const t=s[i];if(!t.isXFAObject){warn("XFA - Cannot create a node.");return null}e=t}}return null}const Fo=Symbol(),Io=Symbol(),Oo=Symbol(),Mo=Symbol("_children"),Do=Symbol(),Bo=Symbol(),Ro=Symbol(),No=Symbol(),Eo=Symbol(),Po=Symbol(),Lo=Symbol(),jo=Symbol(),_o=Symbol(),Uo=Symbol("parent"),Xo=Symbol(),qo=Symbol(),Ho=Symbol();let Wo=0;const zo=go.datasets.id;class XFAObject{constructor(e,t,a=!1){this[Hs]=e;this[Ws]=t;this[Lo]=a;this[Uo]=null;this[Mo]=[];this[uo]=`${t}${Wo++}`;this[Is]=null}get isXFAObject(){return!0}get isXFAObjectArray(){return!1}createNodes(e){let t=this,a=null;for(const{name:r,index:i}of e){for(let e=0,n=isFinite(i)?i:0;e<=n;e++){const e=t[Hs]===zo?-1:t[Hs];a=new XmlObject(e,r);t[Qn](a)}t=a}return a}[$s](e){if(!this[Lo]||!this[Gs](e))return!1;const t=e[Ws],a=this[t];if(!(a instanceof XFAObjectArray)){null!==a&&this[Zs](a);this[t]=e;this[Qn](e);return!0}if(a.push(e)){this[Qn](e);return!0}let r="";this.id?r=` (id: ${this.id})`:this.name&&(r=` (name: ${this.name} ${this.h.value})`);warn(`XFA - node "${this[Ws]}"${r} has already enough "${t}"!`);return!1}[Gs](e){return 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Object.getOwnPropertyNames(this)){if(null===this[e]||this[e]instanceof XFAObject||this[e]instanceof XFAObjectArray)break;t.add(e)}}return shadow(this,Oo,e._attributes)}[Es](e){let t=this;for(;t;){if(t===e)return!0;t=t[vs]()}return!1}[vs](){return this[Uo]}[Cs](){return this[vs]()}[Ss](e=null){return e?this[e]:this[Mo]}[cs](){const e=Object.create(null);this[ss]&&(e.$content=this[ss]);for(const t of Object.getOwnPropertyNames(this)){const a=this[t];null!==a&&(a instanceof XFAObject?e[t]=a[cs]():a instanceof XFAObjectArray?a.isEmpty()||(e[t]=a.dump()):e[t]=a)}return e}[ho](){return null}[co](){return HTMLResult.EMPTY}*[As](){for(const e of this[Ss]())yield e}*[No](e,t){for(const a of this[As]())if(!e||t===e.has(a[Ws])){const e=this[gs](),t=a[co](e);t.success||(this[ls].failingNode=a);yield t}}[us](){return null}[Zn](e,t){this[ls].children.push(e)}[gs](){}[es]({filter:e=null,include:t=!0}){if(this[ls].generator){const e=this[gs](),t=this[ls].failingNode[co](e);if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox);delete this[ls].failingNode}else this[ls].generator=this[No](e,t);for(;;){const e=this[ls].generator.next();if(e.done)break;const t=e.value;if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox)}this[ls].generator=null;return HTMLResult.EMPTY}[ro](e){this[qo]=new Set(Object.keys(e))}[Po](e){const t=this[Oo],a=this[qo];return[...e].filter((e=>t.has(e)&&!a.has(e)))}[eo](e,t=new Set){for(const a of this[Mo])a[Xo](e,t)}[Xo](e,t){const a=this[Eo](e,t);a?this[Fo](a,e,t):this[eo](e,t)}[Eo](e,t){const{use:a,usehref:r}=this;if(!a&&!r)return null;let i=null,n=null,s=null,o=a;if(r){o=r;r.startsWith("#som(")&&r.endsWith(")")?n=r.slice(5,-1):r.startsWith(".#som(")&&r.endsWith(")")?n=r.slice(6,-1):r.startsWith("#")?s=r.slice(1):r.startsWith(".#")&&(s=r.slice(2))}else a.startsWith("#")?s=a.slice(1):n=a;this.use=this.usehref="";if(s)i=e.get(s);else{i=searchNode(e.get(Qs),this,n,!0,!1);i&&(i=i[0])}if(!i){warn(`XFA - Invalid prototype reference: ${o}.`);return null}if(i[Ws]!==this[Ws]){warn(`XFA - Incompatible prototype: ${i[Ws]} !== ${this[Ws]}.`);return null}if(t.has(i)){warn("XFA - Cycle detected in prototypes use.");return null}t.add(i);const c=i[Eo](e,t);c&&i[Fo](c,e,t);i[eo](e,t);t.delete(i);return i}[Fo](e,t,a){if(a.has(e)){warn("XFA - Cycle detected in prototypes use.");return}!this[ss]&&e[ss]&&(this[ss]=e[ss]);new Set(a).add(e);for(const t of this[Po](e[qo])){this[t]=e[t];this[qo]&&this[qo].add(t)}for(const r of Object.getOwnPropertyNames(this)){if(this[Oo].has(r))continue;const i=this[r],n=e[r];if(i instanceof XFAObjectArray){for(const e of i[Mo])e[Xo](t,a);for(let r=i[Mo].length,s=n[Mo].length;r<s;r++){const n=e[Mo][r][is]();if(!i.push(n))break;n[Uo]=this;this[Mo].push(n);n[Xo](t,a)}}else if(null===i){if(null!==n){const e=n[is]();e[Uo]=this;this[r]=e;this[Mo].push(e);e[Xo](t,a)}}else{i[eo](t,a);n&&i[Fo](n,t,a)}}}static[Do](e){return Array.isArray(e)?e.map((e=>XFAObject[Do](e))):"object"==typeof e&&null!==e?Object.assign({},e):e}[is](){const e=Object.create(Object.getPrototypeOf(this));for(const t of Object.getOwnPropertySymbols(this))try{e[t]=this[t]}catch{shadow(e,t,this[t])}e[uo]=`${e[Ws]}${Wo++}`;e[Mo]=[];for(const t of Object.getOwnPropertyNames(this)){if(this[Oo].has(t)){e[t]=XFAObject[Do](this[t]);continue}const a=this[t];e[t]=a instanceof XFAObjectArray?new XFAObjectArray(a[jo]):null}for(const t of this[Mo]){const a=t[Ws],r=t[is]();e[Mo].push(r);r[Uo]=e;null===e[a]?e[a]=r:e[a][Mo].push(r)}return e}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[ps](e){return this[e]}[ms](e,t,a=!0){return Array.from(this[bs](e,t,a))}*[bs](e,t,a=!0){if("parent"!==e){for(const a of this[Mo]){a[Ws]===e&&(yield a);a.name===e&&(yield a);(t||a[Us]())&&(yield*a[bs](e,t,!1))}a&&this[Oo].has(e)&&(yield new XFAAttribute(this,e,this[e]))}else yield this[Uo]}}class XFAObjectArray{constructor(e=1/0){this[jo]=e;this[Mo]=[]}get isXFAObject(){return!1}get isXFAObjectArray(){return!0}push(e){if(this[Mo].length<=this[jo]){this[Mo].push(e);return!0}warn(`XFA - node "${e[Ws]}" accepts no more than ${this[jo]} children`);return!1}isEmpty(){return 0===this[Mo].length}dump(){return 1===this[Mo].length?this[Mo][0][cs]():this[Mo].map((e=>e[cs]()))}[is](){const e=new XFAObjectArray(this[jo]);e[Mo]=this[Mo].map((e=>e[is]()));return e}get children(){return this[Mo]}clear(){this[Mo].length=0}}class XFAAttribute{constructor(e,t,a){this[Uo]=e;this[Ws]=t;this[ss]=a;this[ns]=!1;this[uo]="attribute"+Wo++}[vs](){return this[Uo]}[Ns](){return!0}[ys](){return this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[so](){return this[ss]}[Es](e){return this[Uo]===e||this[Uo][Es](e)}}class XmlObject extends XFAObject{constructor(e,t,a={}){super(e,t);this[ss]="";this[Bo]=null;if("#text"!==t){const e=new Map;this[Io]=e;for(const[t,r]of Object.entries(a))e.set(t,new XFAAttribute(this,t,r));if(a.hasOwnProperty(zs)){const e=a[zs].xfa.dataNode;void 0!==e&&("dataGroup"===e?this[Bo]=!1:"dataValue"===e&&(this[Bo]=!0))}}this[ns]=!1}[lo](e){const t=this[Ws];if("#text"===t){e.push(encodeToXmlString(this[ss]));return}const a=utf8StringToString(t),r=this[Hs]===zo?"xfa:":"";e.push(`<${r}${a}`);for(const[t,a]of this[Io].entries()){const r=utf8StringToString(t);e.push(` ${r}="${encodeToXmlString(a[ss])}"`)}null!==this[Bo]&&(this[Bo]?e.push(\' xfa:dataNode="dataValue"\'):e.push(\' xfa:dataNode="dataGroup"\'));if(this[ss]||0!==this[Mo].length){e.push(">");if(this[ss])"string"==typeof this[ss]?e.push(encodeToXmlString(this[ss])):this[ss][lo](e);else for(const t of this[Mo])t[lo](e);e.push(`</${r}${a}>`)}else e.push("/>")}[$s](e){if(this[ss]){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];this[ss]=""}this[Qn](e);return!0}[Vs](e){this[ss]+=e}[hs](){if(this[ss]&&this[Mo].length>0){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];delete this[ss]}}[co](){return"#text"===this[Ws]?HTMLResult.success({name:"#text",value:this[ss]}):HTMLResult.EMPTY}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[fs](){return this[Io]}[ps](e){const t=this[Io].get(e);return void 0!==t?t:this[Ss](e)}*[bs](e,t){const a=this[Io].get(e);a&&(yield a);for(const a of this[Mo]){a[Ws]===e&&(yield a);t&&(yield*a[bs](e,t))}}*[ds](e,t){const a=this[Io].get(e);!a||t&&a[ns]||(yield a);for(const a of this[Mo])yield*a[ds](e,t)}*[xs](e,t,a){for(const r of this[Mo]){r[Ws]!==e||a&&r[ns]||(yield r);t&&(yield*r[xs](e,t,a))}}[Ns](){return null===this[Bo]?0===this[Mo].length||this[Mo][0][Hs]===go.xhtml.id:this[Bo]}[ys](){return null===this[Bo]?0===this[Mo].length?this[ss].trim():this[Mo][0][Hs]===go.xhtml.id?this[Mo][0][so]().trim():null:this[ss].trim()}[io](e){e=e.value||"";this[ss]=e.toString()}[cs](e=!1){const t=Object.create(null);e&&(t.$ns=this[Hs]);this[ss]&&(t.$content=this[ss]);t.$name=this[Ws];t.children=[];for(const a of this[Mo])t.children.push(a[cs](e));t.attributes=Object.create(null);for(const[e,a]of this[Io])t.attributes[e]=a[ss];return t}}class ContentObject extends XFAObject{constructor(e,t){super(e,t);this[ss]=""}[Vs](e){this[ss]+=e}[hs](){}}class OptionObject extends ContentObject{constructor(e,t,a){super(e,t);this[_o]=a}[hs](){this[ss]=getKeyword({data:this[ss],defaultValue:this[_o][0],validate:e=>this[_o].includes(e)})}[ts](e){super[ts](e);delete this[_o]}}class StringObject extends ContentObject{[hs](){this[ss]=this[ss].trim()}}class IntegerObject extends ContentObject{constructor(e,t,a,r){super(e,t);this[Ro]=a;this[Ho]=r}[hs](){this[ss]=getInteger({data:this[ss],defaultValue:this[Ro],validate:this[Ho]})}[ts](e){super[ts](e);delete this[Ro];delete this[Ho]}}class Option01 extends IntegerObject{constructor(e,t){super(e,t,0,(e=>1===e))}}class Option10 extends IntegerObject{constructor(e,t){super(e,t,1,(e=>0===e))}}function measureToString(e){return"string"==typeof e?"0px":Number.isInteger(e)?`${e}px`:`${e.toFixed(2)}px`}const $o={anchorType(e,t){const a=e[Cs]();if(a&&(!a.layout||"position"===a.layout)){"transform"in t||(t.transform="");switch(e.anchorType){case"bottomCenter":t.transform+="translate(-50%, -100%)";break;case"bottomLeft":t.transform+="translate(0,-100%)";break;case"bottomRight":t.transform+="translate(-100%,-100%)";break;case"middleCenter":t.transform+="translate(-50%,-50%)";break;case"middleLeft":t.transform+="translate(0,-50%)";break;case"middleRight":t.transform+="translate(-100%,-50%)";break;case"topCenter":t.transform+="translate(-50%,0)";break;case"topRight":t.transform+="translate(-100%,0)"}}},dimensions(e,t){const a=e[Cs]();let r=e.w;const i=e.h;if(a.layout?.includes("row")){const t=a[ls],i=e.colSpan;let n;if(-1===i){n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn));t.currentColumn=0}else{n=Math.sumPrecise(t.columnWidths.slice(t.currentColumn,t.currentColumn+i));t.currentColumn=(t.currentColumn+e.colSpan)%t.columnWidths.length}isNaN(n)||(r=e.w=n)}t.width=""!==r?measureToString(r):"auto";t.height=""!==i?measureToString(i):"auto"},position(e,t){const a=e[Cs]();if(!a?.layout||"position"===a.layout){t.position="absolute";t.left=measureToString(e.x);t.top=measureToString(e.y)}},rotate(e,t){if(e.rotate){"transform"in t||(t.transform="");t.transform+=`rotate(-${e.rotate}deg)`;t.transformOrigin="top left"}},presence(e,t){switch(e.presence){case"invisible":t.visibility="hidden";break;case"hidden":case"inactive":t.display="none"}},hAlign(e,t){if("para"===e[Ws])switch(e.hAlign){case"justifyAll":t.textAlign="justify-all";break;case"radix":t.textAlign="left";break;default:t.textAlign=e.hAlign}else switch(e.hAlign){case"left":t.alignSelf="start";break;case"center":t.alignSelf="center";break;case"right":t.alignSelf="end"}},margin(e,t){e.margin&&(t.margin=e.margin[ho]().margin)}};function setMinMaxDimensions(e,t){if("position"===e[Cs]().layout){e.minW>0&&(t.minWidth=measureToString(e.minW));e.maxW>0&&(t.maxWidth=measureToString(e.maxW));e.minH>0&&(t.minHeight=measureToString(e.minH));e.maxH>0&&(t.maxHeight=measureToString(e.maxH))}}function layoutText(e,t,a,r,i,n){const s=new TextMeasure(t,a,r,i);"string"==typeof e?s.addString(e):e[Ks](s);return s.compute(n)}function layoutNode(e,t){let a=null,r=null,i=!1;if((!e.w||!e.h)&&e.value){let n=0,s=0;if(e.margin){n=e.margin.leftInset+e.margin.rightInset;s=e.margin.topInset+e.margin.bottomInset}let o=null,c=null;if(e.para){c=Object.create(null);o=""===e.para.lineHeight?null:e.para.lineHeight;c.top=""===e.para.spaceAbove?0:e.para.spaceAbove;c.bottom=""===e.para.spaceBelow?0:e.para.spaceBelow;c.left=""===e.para.marginLeft?0:e.para.marginLeft;c.right=""===e.para.marginRight?0:e.para.marginRight}let l=e.font;if(!l){const t=e[Fs]();let a=e[vs]();for(;a&&a!==t;){if(a.font){l=a.font;break}a=a[vs]()}}const h=(e.w||t.width)-n,u=e[Is].fontFinder;if(e.value.exData&&e.value.exData[ss]&&"text/html"===e.value.exData.contentType){const t=layoutText(e.value.exData[ss],l,c,o,u,h);r=t.width;a=t.height;i=t.isBroken}else{const t=e.value[so]();if(t){const e=layoutText(t,l,c,o,u,h);r=e.width;a=e.height;i=e.isBroken}}null===r||e.w||(r+=n);null===a||e.h||(a+=s)}return{w:r,h:a,isBroken:i}}function computeBbox(e,t,a){let r;if(""!==e.w&&""!==e.h)r=[e.x,e.y,e.w,e.h];else{if(!a)return null;let i=e.w;if(""===i){if(0===e.maxW){const t=e[Cs]();i="position"===t.layout&&""!==t.w?0:e.minW}else i=Math.min(e.maxW,a.width);t.attributes.style.width=measureToString(i)}let n=e.h;if(""===n){if(0===e.maxH){const t=e[Cs]();n="position"===t.layout&&""!==t.h?0:e.minH}else n=Math.min(e.maxH,a.height);t.attributes.style.height=measureToString(n)}r=[e.x,e.y,i,n]}return r}function fixDimensions(e){const t=e[Cs]();if(t.layout?.includes("row")){const a=t[ls],r=e.colSpan;let i;i=-1===r?Math.sumPrecise(a.columnWidths.slice(a.currentColumn)):Math.sumPrecise(a.columnWidths.slice(a.currentColumn,a.currentColumn+r));isNaN(i)||(e.w=i)}t.layout&&"position"!==t.layout&&(e.x=e.y=0);"table"===e.layout&&""===e.w&&Array.isArray(e.columnWidths)&&(e.w=Math.sumPrecise(e.columnWidths))}function layoutClass(e){switch(e.layout){case"position":default:return"xfaPosition";case"lr-tb":return"xfaLrTb";case"rl-row":return"xfaRlRow";case"rl-tb":return"xfaRlTb";case"row":return"xfaRow";case"table":return"xfaTable";case"tb":return"xfaTb"}}function toStyle(e,...t){const a=Object.create(null);for(const r of t){const t=e[r];if(null!==t)if($o.hasOwnProperty(r))$o[r](e,a);else if(t instanceof XFAObject){const e=t[ho]();e?Object.assign(a,e):warn(`(DEBUG) - XFA - style for ${r} not implemented yet`)}}return a}function createWrapper(e,t){const{attributes:a}=t,{style:r}=a,i={name:"div",attributes:{class:["xfaWrapper"],style:Object.create(null)},children:[]};a.class.push("xfaWrapped");if(e.border){const{widths:a,insets:n}=e.border[ls];let s,o,c=n[0],l=n[3];const h=n[0]+n[2],u=n[1]+n[3];switch(e.border.hand){case"even":c-=a[0]/2;l-=a[3]/2;s=`calc(100% + ${(a[1]+a[3])/2-u}px)`;o=`calc(100% + ${(a[0]+a[2])/2-h}px)`;break;case"left":c-=a[0];l-=a[3];s=`calc(100% + ${a[1]+a[3]-u}px)`;o=`calc(100% + ${a[0]+a[2]-h}px)`;break;case"right":s=u?`calc(100% - ${u}px)`:"100%";o=h?`calc(100% - ${h}px)`:"100%"}const d=["xfaBorder"];isPrintOnly(e.border)&&d.push("xfaPrintOnly");const f={name:"div",attributes:{class:d,style:{top:`${c}px`,left:`${l}px`,width:s,height:o}},children:[]};for(const e of["border","borderWidth","borderColor","borderRadius","borderStyle"])if(void 0!==r[e]){f.attributes.style[e]=r[e];delete r[e]}i.children.push(f,t)}else i.children.push(t);for(const e of["background","backgroundClip","top","left","width","height","minWidth","minHeight","maxWidth","maxHeight","transform","transformOrigin","visibility"])if(void 0!==r[e]){i.attributes.style[e]=r[e];delete r[e]}i.attributes.style.position="absolute"===r.position?"absolute":"relative";delete r.position;if(r.alignSelf){i.attributes.style.alignSelf=r.alignSelf;delete r.alignSelf}return i}function fixTextIndent(e){const t=getMeasurement(e.textIndent,"0px");if(t>=0)return;const a="padding"+("left"===("right"===e.textAlign?"right":"left")?"Left":"Right"),r=getMeasurement(e[a],"0px");e[a]=r-t+"px"}function setAccess(e,t){switch(e.access){case"nonInteractive":t.push("xfaNonInteractive");break;case"readOnly":t.push("xfaReadOnly");break;case"protected":t.push("xfaDisabled")}}function isPrintOnly(e){return e.relevant.length>0&&!e.relevant[0].excluded&&"print"===e.relevant[0].viewname}function getCurrentPara(e){const t=e[Fs]()[ls].paraStack;return t.length?t.at(-1):null}function setPara(e,t,a){if(a.attributes.class?.includes("xfaRich")){if(t){""===e.h&&(t.height="auto");""===e.w&&(t.width="auto")}const r=getCurrentPara(e);if(r){const e=a.attributes.style;e.display="flex";e.flexDirection="column";switch(r.vAlign){case"top":e.justifyContent="start";break;case"bottom":e.justifyContent="end";break;case"middle":e.justifyContent="center"}const t=r[ho]();for(const[a,r]of Object.entries(t))a in e||(e[a]=r)}}}function setFontFamily(e,t,a,r){if(!a){delete r.fontFamily;return}const i=stripQuotes(e.typeface);r.fontFamily=`"${i}"`;const n=a.find(i);if(n){const{fontFamily:a}=n.regular.cssFontInfo;a!==i&&(r.fontFamily=`"${a}"`);const s=getCurrentPara(t);if(s&&""!==s.lineHeight)return;if(r.lineHeight)return;const o=selectFont(e,n);o&&(r.lineHeight=Math.max(1.2,o.lineHeight))}}function fixURL(e){const t=createValidAbsoluteUrl(e,null,{addDefaultProtocol:!0,tryConvertEncoding:!0});return t?t.href:null}function createLine(e,t){return{name:"div",attributes:{class:["lr-tb"===e.layout?"xfaLr":"xfaRl"]},children:t}}function flushHTML(e){if(!e[ls])return null;const t={name:"div",attributes:e[ls].attributes,children:e[ls].children};if(e[ls].failingNode){const a=e[ls].failingNode[us]();a&&(e.layout.endsWith("-tb")?t.children.push(createLine(e,[a])):t.children.push(a))}return 0===t.children.length?null:t}function addHTML(e,t,a){const r=e[ls],i=r.availableSpace,[n,s,o,c]=a;switch(e.layout){case"position":r.width=Math.max(r.width,n+o);r.height=Math.max(r.height,s+c);r.children.push(t);break;case"lr-tb":case"rl-tb":if(!r.line||1===r.attempt){r.line=createLine(e,[]);r.children.push(r.line);r.numberInLine=0}r.numberInLine+=1;r.line.children.push(t);if(0===r.attempt){r.currentWidth+=o;r.height=Math.max(r.height,r.prevHeight+c)}else{r.currentWidth=o;r.prevHeight=r.height;r.height+=c;r.attempt=0}r.width=Math.max(r.width,r.currentWidth);break;case"rl-row":case"row":{r.children.push(t);r.width+=o;r.height=Math.max(r.height,c);const e=measureToString(r.height);for(const t of r.children)t.attributes.style.height=e;break}case"table":case"tb":r.width=MathClamp(o,r.width,i.width);r.height+=c;r.children.push(t)}}function getAvailableSpace(e){const t=e[ls].availableSpace,a=e.margin?e.margin.topInset+e.margin.bottomInset:0,r=e.margin?e.margin.leftInset+e.margin.rightInset:0;switch(e.layout){case"lr-tb":case"rl-tb":return 0===e[ls].attempt?{width:t.width-r-e[ls].currentWidth,height:t.height-a-e[ls].prevHeight}:{width:t.width-r,height:t.height-a-e[ls].height};case"rl-row":case"row":return{width:Math.sumPrecise(e[ls].columnWidths.slice(e[ls].currentColumn)),height:t.height-r};case"table":case"tb":return{width:t.width-r,height:t.height-a-e[ls].height};default:return t}}function checkDimensions(e,t){if(null===e[Fs]()[ls].firstUnsplittable)return!0;if(0===e.w||0===e.h)return!0;const a=e[Cs](),r=a[ls]?.attempt||0,[,i,n,s]=function getTransformedBBox(e){let t,a,r=""===e.w?NaN:e.w,i=""===e.h?NaN:e.h,[n,s]=[0,0];switch(e.anchorType||""){case"bottomCenter":[n,s]=[r/2,i];break;case"bottomLeft":[n,s]=[0,i];break;case"bottomRight":[n,s]=[r,i];break;case"middleCenter":[n,s]=[r/2,i/2];break;case"middleLeft":[n,s]=[0,i/2];break;case"middleRight":[n,s]=[r,i/2];break;case"topCenter":[n,s]=[r/2,0];break;case"topRight":[n,s]=[r,0]}switch(e.rotate||0){case 0:[t,a]=[-n,-s];break;case 90:[t,a]=[-s,n];[r,i]=[i,-r];break;case 180:[t,a]=[n,s];[r,i]=[-r,-i];break;case 270:[t,a]=[s,-n];[r,i]=[-i,r]}return[e.x+t+Math.min(0,r),e.y+a+Math.min(0,i),Math.abs(r),Math.abs(i)]}(e);switch(a.layout){case"lr-tb":case"rl-tb":return 0===r?e[Fs]()[ls].noLayoutFailure?""!==e.w?Math.round(n-t.width)<=2:t.width>2:!(""!==e.h&&Math.round(s-t.height)>2)&&(""!==e.w?Math.round(n-t.width)<=2||0===a[ls].numberInLine&&t.height>2:t.width>2):!!e[Fs]()[ls].noLayoutFailure||!(""!==e.h&&Math.round(s-t.height)>2)&&((""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2);case"table":case"tb":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||e[js]()?(""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2:Math.round(s-t.height)<=2);case"position":if(e[Fs]()[ls].noLayoutFailure)return!0;if(""===e.h||Math.round(s+i-t.height)<=2)return!0;return s+i>e[Fs]()[ls].currentContentArea.h;case"rl-row":case"row":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||Math.round(s-t.height)<=2);default:return!0}}const Go=go.template.id,Vo="http://www.w3.org/2000/svg",Ko=/^H(\\d+)$/,Jo=new Set(["image/gif","image/jpeg","image/jpg","image/pjpeg","image/png","image/apng","image/x-png","image/bmp","image/x-ms-bmp","image/tiff","image/tif","application/octet-stream"]),Yo=[[[66,77],"image/bmp"],[[255,216,255],"image/jpeg"],[[73,73,42,0],"image/tiff"],[[77,77,0,42],"image/tiff"],[[71,73,70,56,57,97],"image/gif"],[[137,80,78,71,13,10,26,10],"image/png"]];function getBorderDims(e){if(!e||!e.border)return{w:0,h:0};const t=e.border[ws]();return t?{w:t.widths[0]+t.widths[2]+t.insets[0]+t.insets[2],h:t.widths[1]+t.widths[3]+t.insets[1]+t.insets[3]}:{w:0,h:0}}function hasMargin(e){return e.margin&&(e.margin.topInset||e.margin.rightInset||e.margin.bottomInset||e.margin.leftInset)}function _setValue(e,t){if(!e.value){const t=new Value({});e[Qn](t);e.value=t}e.value[io](t)}function*getContainedChildren(e){for(const t of e[Ss]())t instanceof SubformSet?yield*t[As]():yield t}function isRequired(e){return"error"===e.validate?.nullTest}function setTabIndex(e){for(;e;){if(!e.traversal){e[no]=e[vs]()[no];return}if(e[no])return;let t=null;for(const a of e.traversal[Ss]())if("next"===a.operation){t=a;break}if(!t||!t.ref){e[no]=e[vs]()[no];return}const a=e[Fs]();e[no]=++a[no];const r=a[to](t.ref,e);if(!r)return;e=r[0]}}function applyAssist(e,t){const a=e.assist;if(a){const e=a[co]();e&&(t.title=e);const r=a.role.match(Ko);if(r){const e="heading",a=r[1];t.role=e;t["aria-level"]=a}}if("table"===e.layout)t.role="table";else if("row"===e.layout)t.role="row";else{const a=e[vs]();"row"===a.layout&&(t.role="TH"===a.assist?.role?"columnheader":"cell")}}function ariaLabel(e){if(!e.assist)return null;const t=e.assist;return t.speak&&""!==t.speak[ss]?t.speak[ss]:t.toolTip?t.toolTip[ss]:null}function valueToHtml(e){return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:Object.create(null)},children:[{name:"span",attributes:{style:Object.create(null)},value:e}]})}function setFirstUnsplittable(e){const t=e[Fs]();if(null===t[ls].firstUnsplittable){t[ls].firstUnsplittable=e;t[ls].noLayoutFailure=!0}}function unsetFirstUnsplittable(e){const t=e[Fs]();t[ls].firstUnsplittable===e&&(t[ls].noLayoutFailure=!1)}function handleBreak(e){if(e[ls])return!1;e[ls]=Object.create(null);if("auto"===e.targetType)return!1;const t=e[Fs]();let a=null;if(e.target){a=t[to](e.target,e[vs]());if(!a)return!1;a=a[0]}const{currentPageArea:r,currentContentArea:i}=t[ls];if("pageArea"===e.targetType){a instanceof PageArea||(a=null);if(e.startNew){e[ls].target=a||r;return!0}if(a&&a!==r){e[ls].target=a;return!0}return!1}a instanceof ContentArea||(a=null);const n=a&&a[vs]();let s,o=n;if(e.startNew)if(a){const e=n.contentArea.children,t=e.indexOf(i),r=e.indexOf(a);-1!==t&&t<r&&(o=null);s=r-1}else s=r.contentArea.children.indexOf(i);else{if(!a||a===i)return!1;s=n.contentArea.children.indexOf(a)-1;o=n===r?null:n}e[ls].target=o;e[ls].index=s;return!0}function handleOverflow(e,t,a){const r=e[Fs](),i=r[ls].noLayoutFailure,n=t[Cs];t[Cs]=()=>e;r[ls].noLayoutFailure=!0;const s=t[co](a);e[Zn](s.html,s.bbox);r[ls].noLayoutFailure=i;t[Cs]=n}class AppearanceFilter extends StringObject{constructor(e){super(Go,"appearanceFilter");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Arc extends XFAObject{constructor(e){super(Go,"arc",!0);this.circular=getInteger({data:e.circular,defaultValue:0,validate:e=>1===e});this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.startAngle=getFloat({data:e.startAngle,defaultValue:0,validate:e=>!0});this.sweepAngle=getFloat({data:e.sweepAngle,defaultValue:360,validate:e=>!0});this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null;this.fill=null}[co](){const e=this.edge||new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;let r;const i={xmlns:Vo,style:{width:"100%",height:"100%",overflow:"visible"}};if(360===this.sweepAngle)r={name:"ellipse",attributes:{xmlns:Vo,cx:"50%",cy:"50%",rx:"50%",ry:"50%",style:a}};else{const e=this.startAngle*Math.PI/180,t=this.sweepAngle*Math.PI/180,n=this.sweepAngle>180?1:0,[s,o,c,l]=[50*(1+Math.cos(e)),50*(1-Math.sin(e)),50*(1+Math.cos(e+t)),50*(1-Math.sin(e+t))];r={name:"path",attributes:{xmlns:Vo,d:`M ${s} ${o} A 50 50 0 ${n} 0 ${c} ${l}`,vectorEffect:"non-scaling-stroke",style:a}};Object.assign(i,{viewBox:"0 0 100 100",preserveAspectRatio:"none"})}const n={name:"svg",children:[r],attributes:i};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[n]});n.attributes.style.position="absolute";return HTMLResult.success(n)}}class Area extends XFAObject{constructor(e){super(Go,"area",!0);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null;this.area=new XFAObjectArray;this.draw=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Us](){return!0}[Rs](){return!0}[Zn](e,t){const[a,r,i,n]=t;this[ls].width=Math.max(this[ls].width,a+i);this[ls].height=Math.max(this[ls].height,r+n);this[ls].children.push(e)}[gs](){return this[ls].availableSpace}[co](e){const t=toStyle(this,"position"),a={style:t,id:this[uo],class:["xfaArea"]};isPrintOnly(this)&&a.class.push("xfaPrintOnly");this.name&&(a.xfaName=this.name);const r=[];this[ls]={children:r,width:0,height:0,availableSpace:e};const i=this[es]({filter:new Set(["area","draw","field","exclGroup","subform","subformSet"]),include:!0});if(!i.success){if(i.isBreak())return i;delete this[ls];return HTMLResult.FAILURE}t.width=measureToString(this[ls].width);t.height=measureToString(this[ls].height);const n={name:"div",attributes:a,children:r},s=[this.x,this.y,this[ls].width,this[ls].height];delete this[ls];return HTMLResult.success(n,s)}}class Assist extends XFAObject{constructor(e){super(Go,"assist",!0);this.id=e.id||"";this.role=e.role||"";this.use=e.use||"";this.usehref=e.usehref||"";this.speak=null;this.toolTip=null}[co](){return this.toolTip?.[ss]||null}}class Barcode extends XFAObject{constructor(e){super(Go,"barcode",!0);this.charEncoding=getKeyword({data:e.charEncoding?e.charEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.checksum=getStringOption(e.checksum,["none","1mod10","1mod10_1mod11","2mod10","auto"]);this.dataColumnCount=getInteger({data:e.dataColumnCount,defaultValue:-1,validate:e=>e>=0});this.dataLength=getInteger({data:e.dataLength,defaultValue:-1,validate:e=>e>=0});this.dataPrep=getStringOption(e.dataPrep,["none","flateCompress"]);this.dataRowCount=getInteger({data:e.dataRowCount,defaultValue:-1,validate:e=>e>=0});this.endChar=e.endChar||"";this.errorCorrectionLevel=getInteger({data:e.errorCorrectionLevel,defaultValue:-1,validate:e=>e>=0&&e<=8});this.id=e.id||"";this.moduleHeight=getMeasurement(e.moduleHeight,"5mm");this.moduleWidth=getMeasurement(e.moduleWidth,"0.25mm");this.printCheckDigit=getInteger({data:e.printCheckDigit,defaultValue:0,validate:e=>1===e});this.rowColumnRatio=getRatio(e.rowColumnRatio);this.startChar=e.startChar||"";this.textLocation=getStringOption(e.textLocation,["below","above","aboveEmbedded","belowEmbedded","none"]);this.truncate=getInteger({data:e.truncate,defaultValue:0,validate:e=>1===e});this.type=getStringOption(e.type?e.type.toLowerCase():"",["aztec","codabar","code2of5industrial","code2of5interleaved","code2of5matrix","code2of5standard","code3of9","code3of9extended","code11","code49","code93","code128","code128a","code128b","code128c","code128sscc","datamatrix","ean8","ean8add2","ean8add5","ean13","ean13add2","ean13add5","ean13pwcd","fim","logmars","maxicode","msi","pdf417","pdf417macro","plessey","postauscust2","postauscust3","postausreplypaid","postausstandard","postukrm4scc","postusdpbc","postusimb","postusstandard","postus5zip","qrcode","rfid","rss14","rss14expanded","rss14limited","rss14stacked","rss14stackedomni","rss14truncated","telepen","ucc128","ucc128random","ucc128sscc","upca","upcaadd2","upcaadd5","upcapwcd","upce","upceadd2","upceadd5","upcean2","upcean5","upsmaxicode"]);this.upsMode=getStringOption(e.upsMode,["usCarrier","internationalCarrier","secureSymbol","standardSymbol"]);this.use=e.use||"";this.usehref=e.usehref||"";this.wideNarrowRatio=getRatio(e.wideNarrowRatio);this.encrypt=null;this.extras=null}}class Bind extends XFAObject{constructor(e){super(Go,"bind",!0);this.match=getStringOption(e.match,["once","dataRef","global","none"]);this.ref=e.ref||"";this.picture=null}}class BindItems extends XFAObject{constructor(e){super(Go,"bindItems");this.connection=e.connection||"";this.labelRef=e.labelRef||"";this.ref=e.ref||"";this.valueRef=e.valueRef||""}}class Bookend extends XFAObject{constructor(e){super(Go,"bookend");this.id=e.id||"";this.leader=e.leader||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}}class BooleanElement extends Option01{constructor(e){super(Go,"boolean");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[co](e){return valueToHtml(1===this[ss]?"1":"0")}}class Border extends XFAObject{constructor(e){super(Go,"border",!0);this.break=getStringOption(e.break,["close","open"]);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.extras=null;this.fill=null;this.margin=null}[ws](){if(!this[ls]){const e=this.edge.children.slice();if(e.length<4){const t=e.at(-1)||new Edge({});for(let a=e.length;a<4;a++)e.push(t)}const t=e.map((e=>e.thickness)),a=[0,0,0,0];if(this.margin){a[0]=this.margin.topInset;a[1]=this.margin.rightInset;a[2]=this.margin.bottomInset;a[3]=this.margin.leftInset}this[ls]={widths:t,insets:a,edges:e}}return this[ls]}[ho](){const{edges:e}=this[ws](),t=e.map((e=>{const t=e[ho]();t.color||="#000000";return t})),a=Object.create(null);this.margin&&Object.assign(a,this.margin[ho]());"visible"===this.fill?.presence&&Object.assign(a,this.fill[ho]());if(this.corner.children.some((e=>0!==e.radius))){const e=this.corner.children.map((e=>e[ho]()));if(2===e.length||3===e.length){const t=e.at(-1);for(let a=e.length;a<4;a++)e.push(t)}a.borderRadius=e.map((e=>e.radius)).join(" ")}switch(this.presence){case"invisible":case"hidden":a.borderStyle="";break;case"inactive":a.borderStyle="none";break;default:a.borderStyle=t.map((e=>e.style)).join(" ")}a.borderWidth=t.map((e=>e.width)).join(" ");a.borderColor=t.map((e=>e.color)).join(" ");return a}}class Break extends XFAObject{constructor(e){super(Go,"break",!0);this.after=getStringOption(e.after,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.afterTarget=e.afterTarget||"";this.before=getStringOption(e.before,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.beforeTarget=e.beforeTarget||"";this.bookendLeader=e.bookendLeader||"";this.bookendTrailer=e.bookendTrailer||"";this.id=e.id||"";this.overflowLeader=e.overflowLeader||"";this.overflowTarget=e.overflowTarget||"";this.overflowTrailer=e.overflowTrailer||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class BreakAfter extends XFAObject{constructor(e){super(Go,"breakAfter",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}}class BreakBefore extends XFAObject{constructor(e){super(Go,"breakBefore",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}[co](e){this[ls]={};return HTMLResult.FAILURE}}class Button extends XFAObject{constructor(e){super(Go,"button",!0);this.highlight=getStringOption(e.highlight,["inverted","none","outline","push"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[co](e){const t=this[vs]()[vs](),a={name:"button",attributes:{id:this[uo],class:["xfaButton"],style:{}},children:[]};for(const e of t.event.children){if("click"!==e.activity||!e.script)continue;const t=recoverJsURL(e.script[ss]);if(!t)continue;const r=fixURL(t.url);r&&a.children.push({name:"a",attributes:{id:"link"+this[uo],href:r,newWindow:t.newWindow,class:["xfaLink"],style:{}},children:[]})}return HTMLResult.success(a)}}class Calculate extends XFAObject{constructor(e){super(Go,"calculate",!0);this.id=e.id||"";this.override=getStringOption(e.override,["disabled","error","ignore","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.script=null}}class Caption extends XFAObject{constructor(e){super(Go,"caption",!0);this.id=e.id||"";this.placement=getStringOption(e.placement,["left","bottom","inline","right","top"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.reserve=Math.ceil(getMeasurement(e.reserve));this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.font=null;this.margin=null;this.para=null;this.value=null}[io](e){_setValue(this,e)}[ws](e){if(!this[ls]){let{width:t,height:a}=e;switch(this.placement){case"left":case"right":case"inline":t=this.reserve<=0?t:this.reserve;break;case"top":case"bottom":a=this.reserve<=0?a:this.reserve}this[ls]=layoutNode(this,{width:t,height:a})}return this[ls]}[co](e){if(!this.value)return HTMLResult.EMPTY;this[Ys]();const t=this.value[co](e).html;if(!t){this[Js]();return HTMLResult.EMPTY}const a=this.reserve;if(this.reserve<=0){const{w:t,h:a}=this[ws](e);switch(this.placement){case"left":case"right":case"inline":this.reserve=t;break;case"top":case"bottom":this.reserve=a}}const r=[];"string"==typeof t?r.push({name:"#text",value:t}):r.push(t);const i=toStyle(this,"font","margin","visibility");switch(this.placement){case"left":case"right":this.reserve>0&&(i.width=measureToString(this.reserve));break;case"top":case"bottom":this.reserve>0&&(i.height=measureToString(this.reserve))}setPara(this,null,t);this[Js]();this.reserve=a;return HTMLResult.success({name:"div",attributes:{style:i,class:["xfaCaption"]},children:r})}}class Certificate extends StringObject{constructor(e){super(Go,"certificate");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Certificates extends XFAObject{constructor(e){super(Go,"certificates",!0);this.credentialServerPolicy=getStringOption(e.credentialServerPolicy,["optional","required"]);this.id=e.id||"";this.url=e.url||"";this.urlPolicy=e.urlPolicy||"";this.use=e.use||"";this.usehref=e.usehref||"";this.encryption=null;this.issuers=null;this.keyUsage=null;this.oids=null;this.signing=null;this.subjectDNs=null}}class CheckButton extends XFAObject{constructor(e){super(Go,"checkButton",!0);this.id=e.id||"";this.mark=getStringOption(e.mark,["default","check","circle","cross","diamond","square","star"]);this.shape=getStringOption(e.shape,["square","round"]);this.size=getMeasurement(e.size,"10pt");this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"margin"),a=measureToString(this.size);t.width=t.height=a;let r,i,n;const s=this[vs]()[vs](),o=s.items.children.length&&s.items.children[0][co]().html||[],c={on:(void 0!==o[0]?o[0]:"on").toString(),off:(void 0!==o[1]?o[1]:"off").toString()},l=(s.value?.[so]()||"off")===c.on||void 0,h=s[Cs](),u=s[uo];let d;if(h instanceof ExclGroup){n=h[uo];r="radio";i="xfaRadio";d=h[os]?.[uo]||h[uo]}else{r="checkbox";i="xfaCheckbox";d=s[os]?.[uo]||s[uo]}const f={name:"input",attributes:{class:[i],style:t,fieldId:u,dataId:d,type:r,checked:l,xfaOn:c.on,xfaOff:c.off,"aria-label":ariaLabel(s),"aria-required":!1}};n&&(f.attributes.name=n);if(isRequired(s)){f.attributes["aria-required"]=!0;f.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[f]})}}class ChoiceList extends XFAObject{constructor(e){super(Go,"choiceList",!0);this.commitOn=getStringOption(e.commitOn,["select","exit"]);this.id=e.id||"";this.open=getStringOption(e.open,["userControl","always","multiSelect","onEntry"]);this.textEntry=getInteger({data:e.textEntry,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","margin"),a=this[vs]()[vs](),r={fontSize:`calc(${a.font?.size||10}px * var(--total-scale-factor))`},i=[];if(a.items.children.length>0){const e=a.items;let t=0,n=0;if(2===e.children.length){t=e.children[0].save;n=1-t}const s=e.children[t][co]().html,o=e.children[n][co]().html;let c=!1;const l=a.value?.[so]()||"";for(let e=0,t=s.length;e<t;e++){const t={name:"option",attributes:{value:o[e]||s[e],style:r},value:s[e]};o[e]===l&&(t.attributes.selected=c=!0);i.push(t)}c||i.splice(0,0,{name:"option",attributes:{hidden:!0,selected:!0},value:" "})}const n={class:["xfaSelect"],fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],style:t,"aria-label":ariaLabel(a),"aria-required":!1};if(isRequired(a)){n["aria-required"]=!0;n.required=!0}"multiSelect"===this.open&&(n.multiple=!0);return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[{name:"select",children:i,attributes:n}]})}}class Color extends XFAObject{constructor(e){super(Go,"color",!0);this.cSpace=getStringOption(e.cSpace,["SRGB"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.value=e.value?function getColor(e,t=[0,0,0]){let[a,r,i]=t;if(!e)return{r:a,g:r,b:i};const n=e.split(",",3).map((e=>MathClamp(parseInt(e.trim(),10),0,255))).map((e=>isNaN(e)?0:e));if(n.length<3)return{r:a,g:r,b:i};[a,r,i]=n;return{r:a,g:r,b:i}}(e.value):"";this.extras=null}[Ts](){return!1}[ho](){return this.value?Util.makeHexColor(this.value.r,this.value.g,this.value.b):null}}class Comb extends XFAObject{constructor(e){super(Go,"comb");this.id=e.id||"";this.numberOfCells=getInteger({data:e.numberOfCells,defaultValue:0,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||""}}class Connect extends XFAObject{constructor(e){super(Go,"connect",!0);this.connection=e.connection||"";this.id=e.id||"";this.ref=e.ref||"";this.usage=getStringOption(e.usage,["exportAndImport","exportOnly","importOnly"]);this.use=e.use||"";this.usehref=e.usehref||"";this.picture=null}}class ContentArea extends XFAObject{constructor(e){super(Go,"contentArea",!0);this.h=getMeasurement(e.h);this.id=e.id||"";this.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=getMeasurement(e.w);this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null}[co](e){const t={left:measureToString(this.x),top:measureToString(this.y),width:measureToString(this.w),height:measureToString(this.h)},a=["xfaContentarea"];isPrintOnly(this)&&a.push("xfaPrintOnly");return HTMLResult.success({name:"div",children:[],attributes:{style:t,class:a,id:this[uo]}})}}class Corner extends XFAObject{constructor(e){super(Go,"corner",!0);this.id=e.id||"";this.inverted=getInteger({data:e.inverted,defaultValue:0,validate:e=>1===e});this.join=getStringOption(e.join,["square","round"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.radius=getMeasurement(e.radius);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");e.radius=measureToString("square"===this.join?0:this.radius);return e}}class DateElement extends ContentObject{constructor(e){super(Go,"date");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTime extends ContentObject{constructor(e){super(Go,"dateTime");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTimeEdit extends XFAObject{constructor(e){super(Go,"dateTimeEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.picker=getStringOption(e.picker,["host","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Decimal extends ContentObject{constructor(e){super(Go,"decimal");this.fracDigits=getInteger({data:e.fracDigits,defaultValue:2,validate:e=>!0});this.id=e.id||"";this.leadDigits=getInteger({data:e.leadDigits,defaultValue:-1,validate:e=>!0});this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class DefaultUi extends XFAObject{constructor(e){super(Go,"defaultUi",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class Desc extends XFAObject{constructor(e){super(Go,"desc",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class DigestMethod extends OptionObject{constructor(e){super(Go,"digestMethod",["","SHA1","SHA256","SHA512","RIPEMD160"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class DigestMethods extends XFAObject{constructor(e){super(Go,"digestMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.digestMethod=new XFAObjectArray}}class Draw extends XFAObject{constructor(e){super(Go,"draw",!0);this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.border=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.value=null;this.setProperty=new XFAObjectArray}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;fixDimensions(this);this[Ys]();const t=this.w,a=this.h,{w:r,h:i,isBroken:n}=layoutNode(this,e);if(r&&""===this.w){if(n&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}this.w=r}i&&""===this.h&&(this.h=i);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=t;this.h=a;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const s=toStyle(this,"font","hAlign","dimensions","position","presence","rotate","anchorType","border","margin");setMinMaxDimensions(this,s);if(s.margin){s.padding=s.margin;delete s.margin}const o=["xfaDraw"];this.font&&o.push("xfaFont");isPrintOnly(this)&&o.push("xfaPrintOnly");const c={style:s,id:this[uo],class:o};this.name&&(c.xfaName=this.name);const l={name:"div",attributes:c,children:[]};applyAssist(this,c);const h=computeBbox(this,l,e),u=this.value?this.value[co](e).html:null;if(null===u){this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}l.children.push(u);setPara(this,s,u);this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}}class Edge extends XFAObject{constructor(e){super(Go,"edge",!0);this.cap=getStringOption(e.cap,["square","butt","round"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");Object.assign(e,{linecap:this.cap,width:measureToString(this.thickness),color:this.color?this.color[ho]():"#000000",style:""});if("visible"!==this.presence)e.style="none";else switch(this.stroke){case"solid":e.style="solid";break;case"dashDot":case"dashDotDot":case"dashed":e.style="dashed";break;case"dotted":e.style="dotted";break;case"embossed":e.style="ridge";break;case"etched":e.style="groove";break;case"lowered":e.style="inset";break;case"raised":e.style="outset"}return e}}class Encoding extends OptionObject{constructor(e){super(Go,"encoding",["adbe.x509.rsa_sha1","adbe.pkcs7.detached","adbe.pkcs7.sha1"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Encodings extends XFAObject{constructor(e){super(Go,"encodings",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encoding=new XFAObjectArray}}class Encrypt extends XFAObject{constructor(e){super(Go,"encrypt",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=null}}class EncryptData extends XFAObject{constructor(e){super(Go,"encryptData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["encrypt","decrypt"]);this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Encryption extends XFAObject{constructor(e){super(Go,"encryption",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class EncryptionMethod extends OptionObject{constructor(e){super(Go,"encryptionMethod",["","AES256-CBC","TRIPLEDES-CBC","AES128-CBC","AES192-CBC"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EncryptionMethods extends XFAObject{constructor(e){super(Go,"encryptionMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encryptionMethod=new XFAObjectArray}}class Event extends XFAObject{constructor(e){super(Go,"event",!0);this.activity=getStringOption(e.activity,["click","change","docClose","docReady","enter","exit","full","indexChange","initialize","mouseDown","mouseEnter","mouseExit","mouseUp","postExecute","postOpen","postPrint","postSave","postSign","postSubmit","preExecute","preOpen","prePrint","preSave","preSign","preSubmit","ready","validationState"]);this.id=e.id||"";this.listen=getStringOption(e.listen,["refOnly","refAndDescendents"]);this.name=e.name||"";this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.encryptData=null;this.execute=null;this.script=null;this.signData=null;this.submit=null}}class ExData extends ContentObject{constructor(e){super(Go,"exData");this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.maxLength=getInteger({data:e.maxLength,defaultValue:-1,validate:e=>e>=-1});this.name=e.name||"";this.rid=e.rid||"";this.transferEncoding=getStringOption(e.transferEncoding,["none","base64","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[Bs](){return"text/html"===this.contentType}[$s](e){if("text/html"===this.contentType&&e[Hs]===go.xhtml.id){this[ss]=e;return!0}if("text/xml"===this.contentType){this[ss]=e;return!0}return!1}[co](e){return"text/html"===this.contentType&&this[ss]?this[ss][co](e):HTMLResult.EMPTY}}class ExObject extends XFAObject{constructor(e){super(Go,"exObject",!0);this.archive=e.archive||"";this.classId=e.classId||"";this.codeBase=e.codeBase||"";this.codeType=e.codeType||"";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class ExclGroup extends XFAObject{constructor(e){super(Go,"exclGroup",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.margin=null;this.para=null;this.traversal=null;this.validate=null;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.field=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[Ts](){return!0}[io](e){for(const t of this.field.children){if(!t.value){const e=new Value({});t[Qn](e);t.value=e}t.value[io](e)}}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,attributes:a,attempt:0,line:null,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[js]();r||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const i=new Set(["field"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const n=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),s=["xfaExclgroup"],o=layoutClass(this);o&&s.push(o);isPrintOnly(this)&&s.push("xfaPrintOnly");a.style=n;a.class=s;this.name&&(a.xfaName=this.name);this[Ys]();const c="lr-tb"===this.layout||"rl-tb"===this.layout,l=c?2:1;for(;this[ls].attempt<l;this[ls].attempt++){c&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:i,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}if(c&&0===this[ls].attempt&&0===this[ls].numberInLine&&!this[Fs]()[ls].noLayoutFailure){this[ls].attempt=l;break}}this[Js]();r||unsetFirstUnsplittable(this);if(this[ls].attempt===l){r||delete this[ls];return HTMLResult.FAILURE}let h=0,u=0;if(this.margin){h=this.margin.leftInset+this.margin.rightInset;u=this.margin.topInset+this.margin.bottomInset}const d=Math.max(this[ls].width+h,this.w||0),f=Math.max(this[ls].height+u,this.h||0),g=[this.x,this.y,d,f];""===this.w&&(n.width=measureToString(d));""===this.h&&(n.height=measureToString(f));const p={name:"div",attributes:a,children:t};applyAssist(this,a);delete this[ls];return HTMLResult.success(createWrapper(this,p),g)}}class Execute extends XFAObject{constructor(e){super(Go,"execute");this.connection=e.connection||"";this.executeType=getStringOption(e.executeType,["import","remerge"]);this.id=e.id||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Extras extends XFAObject{constructor(e){super(Go,"extras",!0);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.extras=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class Field extends XFAObject{constructor(e){super(Go,"field",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.format=null;this.items=new XFAObjectArray(2);this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.validate=null;this.value=null;this.bindItems=new XFAObjectArray;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if(!this.ui){this.ui=new Ui({});this.ui[Is]=this[Is];this[Qn](this.ui);let e;switch(this.items.children.length){case 0:e=new TextEdit({});this.ui.textEdit=e;break;case 1:e=new CheckButton({});this.ui.checkButton=e;break;case 2:e=new ChoiceList({});this.ui.choiceList=e}this.ui[Qn](e)}if(!this.ui||"hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;this.caption&&delete this.caption[ls];this[Ys]();const t=this.caption?this.caption[co](e).html:null,a=this.w,r=this.h;let i=0,n=0;if(this.margin){i=this.margin.leftInset+this.margin.rightInset;n=this.margin.topInset+this.margin.bottomInset}let s=null;if(""===this.w||""===this.h){let t=null,a=null,r=0,o=0;if(this.ui.checkButton)r=o=this.ui.checkButton.size;else{const{w:t,h:a}=layoutNode(this,e);if(null!==t){r=t;o=a}else o=function fonts_getMetrics(e,t=!1){let a=null;if(e){const t=stripQuotes(e.typeface),r=e[Is].fontFinder.find(t);a=selectFont(e,r)}if(!a)return{lineHeight:12,lineGap:2,lineNoGap:10};const r=e.size||10,i=a.lineHeight?Math.max(t?0:1.2,a.lineHeight):1.2,n=void 0===a.lineGap?.2:a.lineGap;return{lineHeight:i*r,lineGap:n*r,lineNoGap:Math.max(1,i-n)*r}}(this.font,!0).lineNoGap}s=getBorderDims(this.ui[ws]());r+=s.w;o+=s.h;if(this.caption){const{w:i,h:n,isBroken:s}=this.caption[ws](e);if(s&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}t=i;a=n;switch(this.caption.placement){case"left":case"right":case"inline":t+=r;break;case"top":case"bottom":a+=o}}else{t=r;a=o}if(t&&""===this.w){t+=i;this.w=Math.min(this.maxW<=0?1/0:this.maxW,this.minW+1<t?t:this.minW)}if(a&&""===this.h){a+=n;this.h=Math.min(this.maxH<=0?1/0:this.maxH,this.minH+1<a?a:this.minH)}}this[Js]();fixDimensions(this);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=a;this.h=r;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const o=toStyle(this,"font","dimensions","position","rotate","anchorType","presence","margin","hAlign");setMinMaxDimensions(this,o);const c=["xfaField"];this.font&&c.push("xfaFont");isPrintOnly(this)&&c.push("xfaPrintOnly");const l={style:o,id:this[uo],class:c};if(o.margin){o.padding=o.margin;delete o.margin}setAccess(this,c);this.name&&(l.xfaName=this.name);const h=[],u={name:"div",attributes:l,children:h};applyAssist(this,l);const d=this.border?this.border[ho]():null,f=computeBbox(this,u,e),g=this.ui[co]().html;if(!g){Object.assign(o,d);return HTMLResult.success(createWrapper(this,u),f)}this[no]&&(g.children?.[0]?g.children[0].attributes.tabindex=this[no]:g.attributes.tabindex=this[no]);g.attributes.style||=Object.create(null);let p=null;if(this.ui.button){1===g.children.length&&([p]=g.children.splice(0,1));Object.assign(g.attributes.style,d)}else Object.assign(o,d);h.push(g);if(this.value)if(this.ui.imageEdit)g.children.push(this.value[co]().html);else if(!this.ui.button){let e="";if(this.value.exData)e=this.value.exData[so]();else if(this.value.text)e=this.value.text[ws]();else{const t=this.value[co]().html;null!==t&&(e=t.children[0].value)}this.ui.textEdit&&this.value.text?.maxChars&&(g.children[0].attributes.maxLength=this.value.text.maxChars);if(e){if(this.ui.numericEdit){e=parseFloat(e);e=isNaN(e)?"":e.toString()}"textarea"===g.children[0].name?g.children[0].attributes.textContent=e:g.children[0].attributes.value=e}}if(!this.ui.imageEdit&&g.children?.[0]&&this.h){s=s||getBorderDims(this.ui[ws]());let t=0;if(this.caption&&["top","bottom"].includes(this.caption.placement)){t=this.caption.reserve;t<=0&&(t=this.caption[ws](e).h);const a=this.h-t-n-s.h;g.children[0].attributes.style.height=measureToString(a)}else g.children[0].attributes.style.height="100%"}p&&g.children.push(p);if(!t){g.attributes.class&&g.attributes.class.push("xfaLeft");this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}if(this.ui.button){o.padding&&delete o.padding;"div"===t.name&&(t.name="span");g.children.push(t);return HTMLResult.success(u,f)}this.ui.checkButton&&(t.attributes.class[0]="xfaCaptionForCheckButton");g.attributes.class||=[];g.children.splice(0,0,t);switch(this.caption.placement){case"left":case"inline":g.attributes.class.push("xfaLeft");break;case"right":g.attributes.class.push("xfaRight");break;case"top":g.attributes.class.push("xfaTop");break;case"bottom":g.attributes.class.push("xfaBottom")}this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}}class Fill extends XFAObject{constructor(e){super(Go,"fill",!0);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null;this.linear=null;this.pattern=null;this.radial=null;this.solid=null;this.stipple=null}[ho](){const e=this[vs](),t=e[vs]()[vs](),a=Object.create(null);let r="color",i=r;if(e instanceof Border){r="background-color";i="background";t instanceof Ui&&(a.backgroundColor="white")}if(e instanceof Rectangle||e instanceof Arc){r=i="fill";a.fill="white"}for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"color"===e)continue;const t=this[e];if(!(t instanceof XFAObject))continue;const n=t[ho](this.color);n&&(a[n.startsWith("#")?r:i]=n);return a}if(this.color?.value){const e=this.color[ho]();a[e.startsWith("#")?r:i]=e}return a}}class Filter extends XFAObject{constructor(e){super(Go,"filter",!0);this.addRevocationInfo=getStringOption(e.addRevocationInfo,["","required","optional","none"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.version=getInteger({data:this.version,defaultValue:5,validate:e=>e>=1&&e<=5});this.appearanceFilter=null;this.certificates=null;this.digestMethods=null;this.encodings=null;this.encryptionMethods=null;this.handler=null;this.lockDocument=null;this.mdp=null;this.reasons=null;this.timeStamp=null}}class Float extends ContentObject{constructor(e){super(Go,"float");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class template_Font extends XFAObject{constructor(e){super(Go,"font",!0);this.baselineShift=getMeasurement(e.baselineShift);this.fontHorizontalScale=getFloat({data:e.fontHorizontalScale,defaultValue:100,validate:e=>e>=0});this.fontVerticalScale=getFloat({data:e.fontVerticalScale,defaultValue:100,validate:e=>e>=0});this.id=e.id||"";this.kerningMode=getStringOption(e.kerningMode,["none","pair"]);this.letterSpacing=getMeasurement(e.letterSpacing,"0");this.lineThrough=getInteger({data:e.lineThrough,defaultValue:0,validate:e=>1===e||2===e});this.lineThroughPeriod=getStringOption(e.lineThroughPeriod,["all","word"]);this.overline=getInteger({data:e.overline,defaultValue:0,validate:e=>1===e||2===e});this.overlinePeriod=getStringOption(e.overlinePeriod,["all","word"]);this.posture=getStringOption(e.posture,["normal","italic"]);this.size=getMeasurement(e.size,"10pt");this.typeface=e.typeface||"Courier";this.underline=getInteger({data:e.underline,defaultValue:0,validate:e=>1===e||2===e});this.underlinePeriod=getStringOption(e.underlinePeriod,["all","word"]);this.use=e.use||"";this.usehref=e.usehref||"";this.weight=getStringOption(e.weight,["normal","bold"]);this.extras=null;this.fill=null}[ts](e){super[ts](e);this[Is].usedTypefaces.add(this.typeface)}[ho](){const e=toStyle(this,"fill"),t=e.color;if(t)if("#000000"===t)delete e.color;else if(!t.startsWith("#")){e.background=t;e.backgroundClip="text";e.color="transparent"}this.baselineShift&&(e.verticalAlign=measureToString(this.baselineShift));e.fontKerning="none"===this.kerningMode?"none":"normal";e.letterSpacing=measureToString(this.letterSpacing);if(0!==this.lineThrough){e.textDecoration="line-through";2===this.lineThrough&&(e.textDecorationStyle="double")}if(0!==this.overline){e.textDecoration="overline";2===this.overline&&(e.textDecorationStyle="double")}e.fontStyle=this.posture;e.fontSize=measureToString(.99*this.size);setFontFamily(this,this,this[Is].fontFinder,e);if(0!==this.underline){e.textDecoration="underline";2===this.underline&&(e.textDecorationStyle="double")}e.fontWeight=this.weight;return e}}class Format extends XFAObject{constructor(e){super(Go,"format",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null}}class Handler extends StringObject{constructor(e){super(Go,"handler");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Hyphenation extends XFAObject{constructor(e){super(Go,"hyphenation");this.excludeAllCaps=getInteger({data:e.excludeAllCaps,defaultValue:0,validate:e=>1===e});this.excludeInitialCap=getInteger({data:e.excludeInitialCap,defaultValue:0,validate:e=>1===e});this.hyphenate=getInteger({data:e.hyphenate,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.pushCharacterCount=getInteger({data:e.pushCharacterCount,defaultValue:3,validate:e=>e>=0});this.remainCharacterCount=getInteger({data:e.remainCharacterCount,defaultValue:3,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||"";this.wordCharacterCount=getInteger({data:e.wordCharacterCount,defaultValue:7,validate:e=>e>=0})}}class Image extends StringObject{constructor(e){super(Go,"image");this.aspect=getStringOption(e.aspect,["fit","actual","height","none","width"]);this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.name=e.name||"";this.transferEncoding=getStringOption(e.transferEncoding,["base64","none","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[co](){if(this.contentType&&!Jo.has(this.contentType.toLowerCase()))return HTMLResult.EMPTY;let e=this[Is].images?.get(this.href);if(!e&&(this.href||!this[ss]))return HTMLResult.EMPTY;e||"base64"!==this.transferEncoding||(e=function fromBase64Util(e){return Uint8Array.fromBase64?Uint8Array.fromBase64(e):stringToBytes(atob(e))}(this[ss]));if(!e)return HTMLResult.EMPTY;if(!this.contentType){for(const[t,a]of Yo)if(e.length>t.length&&t.every(((t,a)=>t===e[a]))){this.contentType=a;break}if(!this.contentType)return HTMLResult.EMPTY}const t=new Blob([e],{type:this.contentType});let a;switch(this.aspect){case"fit":case"actual":break;case"height":a={height:"100%",objectFit:"fill"};break;case"none":a={width:"100%",height:"100%",objectFit:"fill"};break;case"width":a={width:"100%",objectFit:"fill"}}const r=this[vs]();return HTMLResult.success({name:"img",attributes:{class:["xfaImage"],style:a,src:URL.createObjectURL(t),alt:r?ariaLabel(r[vs]()):null}})}}class ImageEdit extends XFAObject{constructor(e){super(Go,"imageEdit",!0);this.data=getStringOption(e.data,["link","embed"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){return"embed"===this.data?HTMLResult.success({name:"div",children:[],attributes:{}}):HTMLResult.EMPTY}}class Integer extends ContentObject{constructor(e){super(Go,"integer");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseInt(this[ss].trim(),10);this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class Issuers extends XFAObject{constructor(e){super(Go,"issuers",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Items extends XFAObject{constructor(e){super(Go,"items",!0);this.id=e.id||"";this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.ref=e.ref||"";this.save=getInteger({data:e.save,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[co](){const e=[];for(const t of this[Ss]())e.push(t[so]());return HTMLResult.success(e)}}class Keep extends XFAObject{constructor(e){super(Go,"keep",!0);this.id=e.id||"";const t=["none","contentArea","pageArea"];this.intact=getStringOption(e.intact,t);this.next=getStringOption(e.next,t);this.previous=getStringOption(e.previous,t);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class KeyUsage extends XFAObject{constructor(e){super(Go,"keyUsage");const t=["","yes","no"];this.crlSign=getStringOption(e.crlSign,t);this.dataEncipherment=getStringOption(e.dataEncipherment,t);this.decipherOnly=getStringOption(e.decipherOnly,t);this.digitalSignature=getStringOption(e.digitalSignature,t);this.encipherOnly=getStringOption(e.encipherOnly,t);this.id=e.id||"";this.keyAgreement=getStringOption(e.keyAgreement,t);this.keyCertSign=getStringOption(e.keyCertSign,t);this.keyEncipherment=getStringOption(e.keyEncipherment,t);this.nonRepudiation=getStringOption(e.nonRepudiation,t);this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Line extends XFAObject{constructor(e){super(Go,"line",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.slope=getStringOption(e.slope,["\\\\","/"]);this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null}[co](){const e=this[vs]()[vs](),t=this.edge||new Edge({}),a=t[ho](),r=Object.create(null),i="visible"===t.presence?t.thickness:0;r.strokeWidth=measureToString(i);r.stroke=a.color;let n,s,o,c,l="100%",h="100%";if(e.w<=i){[n,s,o,c]=["50%",0,"50%","100%"];l=r.strokeWidth}else if(e.h<=i){[n,s,o,c]=[0,"50%","100%","50%"];h=r.strokeWidth}else"\\\\"===this.slope?[n,s,o,c]=[0,0,"100%","100%"]:[n,s,o,c]=[0,"100%","100%",0];const u={name:"svg",children:[{name:"line",attributes:{xmlns:Vo,x1:n,y1:s,x2:o,y2:c,style:r}}],attributes:{xmlns:Vo,width:l,height:h,style:{overflow:"visible"}}};if(hasMargin(e))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[u]});u.attributes.style.position="absolute";return HTMLResult.success(u)}}class Linear extends XFAObject{constructor(e){super(Go,"linear",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toRight","toBottom","toLeft","toTop"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";return`linear-gradient(${this.type.replace(/([RBLT])/," $1").toLowerCase()}, ${e}, ${this.color?this.color[ho]():"#000000"})`}}class LockDocument extends ContentObject{constructor(e){super(Go,"lockDocument");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=getStringOption(this[ss],["auto","0","1"])}}class Manifest extends XFAObject{constructor(e){super(Go,"manifest",!0);this.action=getStringOption(e.action,["include","all","exclude"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.ref=new XFAObjectArray}}class Margin extends XFAObject{constructor(e){super(Go,"margin",!0);this.bottomInset=getMeasurement(e.bottomInset,"0");this.id=e.id||"";this.leftInset=getMeasurement(e.leftInset,"0");this.rightInset=getMeasurement(e.rightInset,"0");this.topInset=getMeasurement(e.topInset,"0");this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](){return{margin:measureToString(this.topInset)+" "+measureToString(this.rightInset)+" "+measureToString(this.bottomInset)+" "+measureToString(this.leftInset)}}}class Mdp extends XFAObject{constructor(e){super(Go,"mdp");this.id=e.id||"";this.permissions=getInteger({data:e.permissions,defaultValue:2,validate:e=>1===e||3===e});this.signatureType=getStringOption(e.signatureType,["filler","author"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Medium extends XFAObject{constructor(e){super(Go,"medium");this.id=e.id||"";this.imagingBBox=function getBBox(e){const t=-1;if(!e)return{x:t,y:t,width:t,height:t};const a=e.split(",",4).map((e=>getMeasurement(e.trim(),"-1")));if(a.length<4||a[2]<0||a[3]<0)return{x:t,y:t,width:t,height:t};const[r,i,n,s]=a;return{x:r,y:i,width:n,height:s}}(e.imagingBBox);this.long=getMeasurement(e.long);this.orientation=getStringOption(e.orientation,["portrait","landscape"]);this.short=getMeasurement(e.short);this.stock=e.stock||"";this.trayIn=getStringOption(e.trayIn,["auto","delegate","pageFront"]);this.trayOut=getStringOption(e.trayOut,["auto","delegate"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Message extends XFAObject{constructor(e){super(Go,"message",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.text=new XFAObjectArray}}class NumericEdit extends XFAObject{constructor(e){super(Go,"numericEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Occur extends XFAObject{constructor(e){super(Go,"occur",!0);this.id=e.id||"";this.initial=""!==e.initial?getInteger({data:e.initial,defaultValue:"",validate:e=>!0}):"";this.max=""!==e.max?getInteger({data:e.max,defaultValue:1,validate:e=>!0}):"";this.min=""!==e.min?getInteger({data:e.min,defaultValue:1,validate:e=>!0}):"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ts](){const e=this[vs](),t=this.min;""===this.min&&(this.min=e instanceof PageArea||e instanceof PageSet?0:1);""===this.max&&(this.max=""===t?e instanceof PageArea||e instanceof PageSet?-1:1:this.min);-1!==this.max&&this.max<this.min&&(this.max=this.min);""===this.initial&&(this.initial=e instanceof Template?1:this.min)}}class Oid extends StringObject{constructor(e){super(Go,"oid");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Oids extends XFAObject{constructor(e){super(Go,"oids",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.oid=new XFAObjectArray}}class Overflow extends XFAObject{constructor(e){super(Go,"overflow");this.id=e.id||"";this.leader=e.leader||"";this.target=e.target||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}[ws](){if(!this[ls]){const e=this[vs](),t=this[Fs](),a=t[to](this.target,e),r=t[to](this.leader,e),i=t[to](this.trailer,e);this[ls]={target:a?.[0]||null,leader:r?.[0]||null,trailer:i?.[0]||null,addLeader:!1,addTrailer:!1}}return this[ls]}}class PageArea extends XFAObject{constructor(e){super(Go,"pageArea",!0);this.blankOrNotBlank=getStringOption(e.blankOrNotBlank,["any","blank","notBlank"]);this.id=e.id||"";this.initialNumber=getInteger({data:e.initialNumber,defaultValue:1,validate:e=>!0});this.name=e.name||"";this.numbered=getInteger({data:e.numbered,defaultValue:1,validate:e=>!0});this.oddOrEven=getStringOption(e.oddOrEven,["any","even","odd"]);this.pagePosition=getStringOption(e.pagePosition,["any","first","last","only","rest"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.desc=null;this.extras=null;this.medium=null;this.occur=null;this.area=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.draw=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray}[Xs](){if(!this[ls]){this[ls]={numberOfUse:0};return!0}return!this.occur||-1===this.occur.max||this[ls].numberOfUse<this.occur.max}[as](){delete this[ls]}[ks](){this[ls]||={numberOfUse:0};const e=this[vs]();if("orderedOccurrence"===e.relation&&this[Xs]()){this[ls].numberOfUse+=1;return this}return e[ks]()}[gs](){return this[ls].space||{width:0,height:0}}[co](){this[ls]||={numberOfUse:1};const e=[];this[ls].children=e;const t=Object.create(null);if(this.medium&&this.medium.short&&this.medium.long){t.width=measureToString(this.medium.short);t.height=measureToString(this.medium.long);this[ls].space={width:this.medium.short,height:this.medium.long};if("landscape"===this.medium.orientation){const e=t.width;t.width=t.height;t.height=e;this[ls].space={width:this.medium.long,height:this.medium.short}}}else warn("XFA - No medium specified in pageArea: please file a bug.");this[es]({filter:new Set(["area","draw","field","subform"]),include:!0});this[es]({filter:new Set(["contentArea"]),include:!0});return HTMLResult.success({name:"div",children:e,attributes:{class:["xfaPage"],id:this[uo],style:t,xfaName:this.name}})}}class PageSet extends XFAObject{constructor(e){super(Go,"pageSet",!0);this.duplexImposition=getStringOption(e.duplexImposition,["longEdge","shortEdge"]);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["orderedOccurrence","duplexPaginated","simplexPaginated"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.occur=null;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray}[as](){for(const e of this.pageArea.children)e[as]();for(const e of this.pageSet.children)e[as]()}[Xs](){return!this.occur||-1===this.occur.max||this[ls].numberOfUse<this.occur.max}[ks](){this[ls]||={numberOfUse:1,pageIndex:-1,pageSetIndex:-1};if("orderedOccurrence"===this.relation){if(this[ls].pageIndex+1<this.pageArea.children.length){this[ls].pageIndex+=1;return this.pageArea.children[this[ls].pageIndex][ks]()}if(this[ls].pageSetIndex+1<this.pageSet.children.length){this[ls].pageSetIndex+=1;return this.pageSet.children[this[ls].pageSetIndex][ks]()}if(this[Xs]()){this[ls].numberOfUse+=1;this[ls].pageIndex=-1;this[ls].pageSetIndex=-1;return this[ks]()}const e=this[vs]();if(e instanceof PageSet)return e[ks]();this[as]();return this[ks]()}const e=this[Fs]()[ls].pageNumber,t=e%2==0?"even":"odd",a=0===e?"first":"rest";let r=this.pageArea.children.find((e=>e.oddOrEven===t&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&"any"===e.pagePosition));return r||this.pageArea.children[0]}}class Para extends XFAObject{constructor(e){super(Go,"para",!0);this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.lineHeight=e.lineHeight?getMeasurement(e.lineHeight,"0pt"):"";this.marginLeft=e.marginLeft?getMeasurement(e.marginLeft,"0pt"):"";this.marginRight=e.marginRight?getMeasurement(e.marginRight,"0pt"):"";this.orphans=getInteger({data:e.orphans,defaultValue:0,validate:e=>e>=0});this.preserve=e.preserve||"";this.radixOffset=e.radixOffset?getMeasurement(e.radixOffset,"0pt"):"";this.spaceAbove=e.spaceAbove?getMeasurement(e.spaceAbove,"0pt"):"";this.spaceBelow=e.spaceBelow?getMeasurement(e.spaceBelow,"0pt"):"";this.tabDefault=e.tabDefault?getMeasurement(this.tabDefault):"";this.tabStops=(e.tabStops||"").trim().split(/\\s+/).map(((e,t)=>t%2==1?getMeasurement(e):e));this.textIndent=e.textIndent?getMeasurement(e.textIndent,"0pt"):"";this.use=e.use||"";this.usehref=e.usehref||"";this.vAlign=getStringOption(e.vAlign,["top","bottom","middle"]);this.widows=getInteger({data:e.widows,defaultValue:0,validate:e=>e>=0});this.hyphenation=null}[ho](){const e=toStyle(this,"hAlign");""!==this.marginLeft&&(e.paddingLeft=measureToString(this.marginLeft));""!==this.marginRight&&(e.paddingRight=measureToString(this.marginRight));""!==this.spaceAbove&&(e.paddingTop=measureToString(this.spaceAbove));""!==this.spaceBelow&&(e.paddingBottom=measureToString(this.spaceBelow));if(""!==this.textIndent){e.textIndent=measureToString(this.textIndent);fixTextIndent(e)}this.lineHeight>0&&(e.lineHeight=measureToString(this.lineHeight));""!==this.tabDefault&&(e.tabSize=measureToString(this.tabDefault));this.tabStops.length;this.hyphenatation&&Object.assign(e,this.hyphenatation[ho]());return e}}class PasswordEdit extends XFAObject{constructor(e){super(Go,"passwordEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.passwordChar=e.passwordChar||"*";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}}class template_Pattern extends XFAObject{constructor(e){super(Go,"pattern",!0);this.id=e.id||"";this.type=getStringOption(e.type,["crossHatch","crossDiagonal","diagonalLeft","diagonalRight","horizontal","vertical"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000",a="repeating-linear-gradient",r=`${e},${e} 5px,${t} 5px,${t} 10px`;switch(this.type){case"crossHatch":return`${a}(to top,${r}) ${a}(to right,${r})`;case"crossDiagonal":return`${a}(45deg,${r}) ${a}(-45deg,${r})`;case"diagonalLeft":return`${a}(45deg,${r})`;case"diagonalRight":return`${a}(-45deg,${r})`;case"horizontal":return`${a}(to top,${r})`;case"vertical":return`${a}(to right,${r})`}return""}}class Picture extends StringObject{constructor(e){super(Go,"picture");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Proto extends XFAObject{constructor(e){super(Go,"proto",!0);this.appearanceFilter=new XFAObjectArray;this.arc=new XFAObjectArray;this.area=new XFAObjectArray;this.assist=new XFAObjectArray;this.barcode=new XFAObjectArray;this.bindItems=new XFAObjectArray;this.bookend=new XFAObjectArray;this.boolean=new XFAObjectArray;this.border=new XFAObjectArray;this.break=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.button=new XFAObjectArray;this.calculate=new XFAObjectArray;this.caption=new XFAObjectArray;this.certificate=new XFAObjectArray;this.certificates=new XFAObjectArray;this.checkButton=new XFAObjectArray;this.choiceList=new XFAObjectArray;this.color=new XFAObjectArray;this.comb=new XFAObjectArray;this.connect=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.corner=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.dateTimeEdit=new XFAObjectArray;this.decimal=new XFAObjectArray;this.defaultUi=new XFAObjectArray;this.desc=new XFAObjectArray;this.digestMethod=new XFAObjectArray;this.digestMethods=new XFAObjectArray;this.draw=new XFAObjectArray;this.edge=new XFAObjectArray;this.encoding=new XFAObjectArray;this.encodings=new XFAObjectArray;this.encrypt=new XFAObjectArray;this.encryptData=new XFAObjectArray;this.encryption=new XFAObjectArray;this.encryptionMethod=new XFAObjectArray;this.encryptionMethods=new XFAObjectArray;this.event=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.execute=new XFAObjectArray;this.extras=new XFAObjectArray;this.field=new XFAObjectArray;this.fill=new XFAObjectArray;this.filter=new XFAObjectArray;this.float=new XFAObjectArray;this.font=new XFAObjectArray;this.format=new XFAObjectArray;this.handler=new XFAObjectArray;this.hyphenation=new XFAObjectArray;this.image=new XFAObjectArray;this.imageEdit=new XFAObjectArray;this.integer=new XFAObjectArray;this.issuers=new XFAObjectArray;this.items=new XFAObjectArray;this.keep=new XFAObjectArray;this.keyUsage=new XFAObjectArray;this.line=new XFAObjectArray;this.linear=new XFAObjectArray;this.lockDocument=new XFAObjectArray;this.manifest=new XFAObjectArray;this.margin=new XFAObjectArray;this.mdp=new XFAObjectArray;this.medium=new XFAObjectArray;this.message=new XFAObjectArray;this.numericEdit=new XFAObjectArray;this.occur=new XFAObjectArray;this.oid=new XFAObjectArray;this.oids=new XFAObjectArray;this.overflow=new XFAObjectArray;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray;this.para=new XFAObjectArray;this.passwordEdit=new XFAObjectArray;this.pattern=new XFAObjectArray;this.picture=new XFAObjectArray;this.radial=new XFAObjectArray;this.reason=new XFAObjectArray;this.reasons=new XFAObjectArray;this.rectangle=new XFAObjectArray;this.ref=new XFAObjectArray;this.script=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.signData=new XFAObjectArray;this.signature=new XFAObjectArray;this.signing=new XFAObjectArray;this.solid=new XFAObjectArray;this.speak=new XFAObjectArray;this.stipple=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray;this.subjectDN=new XFAObjectArray;this.subjectDNs=new XFAObjectArray;this.submit=new XFAObjectArray;this.text=new XFAObjectArray;this.textEdit=new XFAObjectArray;this.time=new XFAObjectArray;this.timeStamp=new XFAObjectArray;this.toolTip=new XFAObjectArray;this.traversal=new XFAObjectArray;this.traverse=new XFAObjectArray;this.ui=new XFAObjectArray;this.validate=new XFAObjectArray;this.value=new XFAObjectArray;this.variables=new XFAObjectArray}}class Radial extends XFAObject{constructor(e){super(Go,"radial",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toEdge","toCenter"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000";return`radial-gradient(circle at center, ${"toEdge"===this.type?`${e},${t}`:`${t},${e}`})`}}class Reason extends StringObject{constructor(e){super(Go,"reason");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Reasons extends XFAObject{constructor(e){super(Go,"reasons",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.reason=new XFAObjectArray}}class Rectangle extends XFAObject{constructor(e){super(Go,"rectangle",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.fill=null}[co](){const e=this.edge.children.length?this.edge.children[0]:new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;const r=(this.corner.children.length?this.corner.children[0]:new Corner({}))[ho](),i={name:"svg",children:[{name:"rect",attributes:{xmlns:Vo,width:"100%",height:"100%",x:0,y:0,rx:r.radius,ry:r.radius,style:a}}],attributes:{xmlns:Vo,style:{overflow:"visible"},width:"100%",height:"100%"}};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[i]});i.attributes.style.position="absolute";return HTMLResult.success(i)}}class RefElement extends StringObject{constructor(e){super(Go,"ref");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Script extends StringObject{constructor(e){super(Go,"script");this.binding=e.binding||"";this.contentType=e.contentType||"";this.id=e.id||"";this.name=e.name||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class SetProperty extends XFAObject{constructor(e){super(Go,"setProperty");this.connection=e.connection||"";this.ref=e.ref||"";this.target=e.target||""}}class SignData extends XFAObject{constructor(e){super(Go,"signData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["sign","clear","verify"]);this.ref=e.ref||"";this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Signature extends XFAObject{constructor(e){super(Go,"signature",!0);this.id=e.id||"";this.type=getStringOption(e.type,["PDF1.3","PDF1.6"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.filter=null;this.manifest=null;this.margin=null}}class Signing extends XFAObject{constructor(e){super(Go,"signing",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Solid extends XFAObject{constructor(e){super(Go,"solid",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](e){return e?e[ho]():"#FFFFFF"}}class Speak extends StringObject{constructor(e){super(Go,"speak");this.disable=getInteger({data:e.disable,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.priority=getStringOption(e.priority,["custom","caption","name","toolTip"]);this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Stipple extends XFAObject{constructor(e){super(Go,"stipple",!0);this.id=e.id||"";this.rate=getInteger({data:e.rate,defaultValue:50,validate:e=>e>=0&&e<=100});this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){const t=this.rate/100;return Util.makeHexColor(Math.round(e.value.r*(1-t)+this.value.r*t),Math.round(e.value.g*(1-t)+this.value.g*t),Math.round(e.value.b*(1-t)+this.value.b*t))}}class Subform extends XFAObject{constructor(e){super(Go,"subform",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.allowMacro=getInteger({data:e.allowMacro,defaultValue:0,validate:e=>1===e});this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.columnWidths=(e.columnWidths||"").trim().split(/\\s+/).map((e=>"-1"===e?-1:getMeasurement(e)));this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.mergeMode=getStringOption(e.mergeMode,["consumeData","matchTemplate"]);this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.restoreState=getStringOption(e.restoreState,["manual","auto"]);this.scope=getStringOption(e.scope,["name","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.bookend=null;this.border=null;this.break=null;this.calculate=null;this.desc=null;this.extras=null;this.keep=null;this.margin=null;this.occur=null;this.overflow=null;this.pageSet=null;this.para=null;this.traversal=null;this.validate=null;this.variables=null;this.area=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.connect=new XFAObjectArray;this.draw=new XFAObjectArray;this.event=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.proto=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}[Cs](){const e=this[vs]();return e instanceof SubformSet?e[Cs]():e}[Rs](){return!0}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}*[As](){yield*getContainedChildren(this)}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(this.keep&&"none"!==this.keep.intact){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[co](e){setTabIndex(this);if(this.break){if("auto"!==this.break.after||""!==this.break.afterTarget){const e=new BreakAfter({targetType:this.break.after,target:this.break.afterTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakAfter.push(e)}if("auto"!==this.break.before||""!==this.break.beforeTarget){const e=new BreakBefore({targetType:this.break.before,target:this.break.beforeTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakBefore.push(e)}if(""!==this.break.overflowTarget){const e=new Overflow({target:this.break.overflowTarget,leader:this.break.overflowLeader,trailer:this.break.overflowTrailer});e[Is]=this[Is];this[Qn](e);this.overflow.push(e)}this[Zs](this.break);this.break=null}if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;(this.breakBefore.children.length>1||this.breakAfter.children.length>1)&&warn("XFA - Several breakBefore or breakAfter in subforms: please file a bug.");if(this.breakBefore.children.length>=1){const e=this.breakBefore.children[0];if(handleBreak(e))return HTMLResult.breakNode(e)}if(this[ls]?.afterBreakAfter)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,line:null,attributes:a,attempt:0,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[Fs](),i=r[ls].noLayoutFailure,n=this[js]();n||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const s=new Set(["area","draw","exclGroup","field","subform","subformSet"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const o=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),c=["xfaSubform"],l=layoutClass(this);l&&c.push(l);a.style=o;a.class=c;this.name&&(a.xfaName=this.name);if(this.overflow){const t=this.overflow[ws]();if(t.addLeader){t.addLeader=!1;handleOverflow(this,t.leader,e)}}this[Ys]();const h="lr-tb"===this.layout||"rl-tb"===this.layout,u=h?2:1;for(;this[ls].attempt<u;this[ls].attempt++){h&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:s,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}if(h&&0===this[ls].attempt&&0===this[ls].numberInLine&&!r[ls].noLayoutFailure){this[ls].attempt=u;break}}this[Js]();n||unsetFirstUnsplittable(this);r[ls].noLayoutFailure=i;if(this[ls].attempt===u){this.overflow&&(this[Fs]()[ls].overflowNode=this.overflow);n||delete this[ls];return HTMLResult.FAILURE}if(this.overflow){const t=this.overflow[ws]();if(t.addTrailer){t.addTrailer=!1;handleOverflow(this,t.trailer,e)}}let d=0,f=0;if(this.margin){d=this.margin.leftInset+this.margin.rightInset;f=this.margin.topInset+this.margin.bottomInset}const g=Math.max(this[ls].width+d,this.w||0),p=Math.max(this[ls].height+f,this.h||0),m=[this.x,this.y,g,p];""===this.w&&(o.width=measureToString(g));""===this.h&&(o.height=measureToString(p));if(("0px"===o.width||"0px"===o.height)&&0===t.length)return HTMLResult.EMPTY;const b={name:"div",attributes:a,children:t};applyAssist(this,a);const y=HTMLResult.success(createWrapper(this,b),m);if(this.breakAfter.children.length>=1){const e=this.breakAfter.children[0];if(handleBreak(e)){this[ls].afterBreakAfter=y;return HTMLResult.breakNode(e)}}delete this[ls];return y}}class SubformSet extends XFAObject{constructor(e){super(Go,"subformSet",!0);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["ordered","choice","unordered"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.bookend=null;this.break=null;this.desc=null;this.extras=null;this.occur=null;this.overflow=null;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Cs](){let e=this[vs]();for(;!(e instanceof Subform);)e=e[vs]();return e}[Rs](){return!0}}class SubjectDN extends ContentObject{constructor(e){super(Go,"subjectDN");this.delimiter=e.delimiter||",";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=new Map(this[ss].split(this.delimiter).map((e=>{(e=e.split("=",2))[0]=e[0].trim();return e})))}}class SubjectDNs extends XFAObject{constructor(e){super(Go,"subjectDNs",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.subjectDN=new XFAObjectArray}}class Submit extends XFAObject{constructor(e){super(Go,"submit",!0);this.embedPDF=getInteger({data:e.embedPDF,defaultValue:0,validate:e=>1===e});this.format=getStringOption(e.format,["xdp","formdata","pdf","urlencoded","xfd","xml"]);this.id=e.id||"";this.target=e.target||"";this.textEncoding=getKeyword({data:e.textEncoding?e.textEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.use=e.use||"";this.usehref=e.usehref||"";this.xdpContent=e.xdpContent||"";this.encrypt=null;this.encryptData=new XFAObjectArray;this.signData=new XFAObjectArray}}class Template extends XFAObject{constructor(e){super(Go,"template",!0);this.baseProfile=getStringOption(e.baseProfile,["full","interactiveForms"]);this.extras=null;this.subform=new XFAObjectArray}[hs](){0===this.subform.children.length&&warn("XFA - No subforms in template node.");this.subform.children.length>=2&&warn("XFA - Several subforms in template node: please file a bug.");this[no]=5e3}[js](){return!0}[to](e,t){return e.startsWith("#")?[this[Os].get(e.slice(1))]:searchNode(this,t,e,!0,!0)}*[oo](){if(!this.subform.children.length)return HTMLResult.success({name:"div",children:[]});this[ls]={overflowNode:null,firstUnsplittable:null,currentContentArea:null,currentPageArea:null,noLayoutFailure:!1,pageNumber:1,pagePosition:"first",oddOrEven:"odd",blankOrNotBlank:"nonBlank",paraStack:[]};const e=this.subform.children[0];e.pageSet[as]();const t=e.pageSet.pageArea.children,a={name:"div",children:[]};let r=null,i=null,n=null;if(e.breakBefore.children.length>=1){i=e.breakBefore.children[0];n=i.target}else if(e.subform.children.length>=1&&e.subform.children[0].breakBefore.children.length>=1){i=e.subform.children[0].breakBefore.children[0];n=i.target}else if(e.break?.beforeTarget){i=e.break;n=i.beforeTarget}else if(e.subform.children.length>=1&&e.subform.children[0].break?.beforeTarget){i=e.subform.children[0].break;n=i.beforeTarget}if(i){const e=this[to](n,i[vs]());if(e instanceof PageArea){r=e;i[ls]={}}}r||=t[0];r[ls]={numberOfUse:1};const s=r[vs]();s[ls]={numberOfUse:1,pageIndex:s.pageArea.children.indexOf(r),pageSetIndex:0};let o,c=null,l=null,h=!0,u=0,d=0;for(;;){if(h)u=0;else{a.children.pop();if(3==++u){warn("XFA - Something goes wrong: please file a bug.");return a}}o=null;this[ls].currentPageArea=r;const t=r[co]().html;a.children.push(t);if(c){this[ls].noLayoutFailure=!0;t.children.push(c[co](r[ls].space).html);c=null}if(l){this[ls].noLayoutFailure=!0;t.children.push(l[co](r[ls].space).html);l=null}const i=r.contentArea.children,n=t.children.filter((e=>e.attributes.class.includes("xfaContentarea")));h=!1;this[ls].firstUnsplittable=null;this[ls].noLayoutFailure=!1;const flush=t=>{const a=e[us]();if(a){h||=a.children?.length>0;n[t].children.push(a)}};for(let t=d,r=i.length;t<r;t++){const r=this[ls].currentContentArea=i[t],s={width:r.w,height:r.h};d=0;if(c){n[t].children.push(c[co](s).html);c=null}if(l){n[t].children.push(l[co](s).html);l=null}const u=e[co](s);if(u.success){if(u.html){h||=u.html.children?.length>0;n[t].children.push(u.html)}else!h&&a.children.length>1&&a.children.pop();return a}if(u.isBreak()){const e=u.breakNode;flush(t);if("auto"===e.targetType)continue;if(e.leader){c=this[to](e.leader,e[vs]());c=c?c[0]:null}if(e.trailer){l=this[to](e.trailer,e[vs]());l=l?l[0]:null}if("pageArea"===e.targetType){o=e[ls].target;t=1/0}else if(e[ls].target){o=e[ls].target;d=e[ls].index+1;t=1/0}else t=e[ls].index}else if(this[ls].overflowNode){const e=this[ls].overflowNode;this[ls].overflowNode=null;const a=e[ws](),r=a.target;a.addLeader=null!==a.leader;a.addTrailer=null!==a.trailer;flush(t);const n=t;t=1/0;if(r instanceof PageArea)o=r;else if(r instanceof ContentArea){const e=i.indexOf(r);if(-1!==e)e>n?t=e-1:d=e;else{o=r[vs]();d=o.contentArea.children.indexOf(r)}}}else flush(t)}this[ls].pageNumber+=1;o&&(o[Xs]()?o[ls].numberOfUse+=1:o=null);r=o||r[ks]();yield null}}}class Text extends ContentObject{constructor(e){super(Go,"text");this.id=e.id||"";this.maxChars=getInteger({data:e.maxChars,defaultValue:0,validate:e=>e>=0});this.name=e.name||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}[Yn](){return!0}[$s](e){if(e[Hs]===go.xhtml.id){this[ss]=e;return!0}warn(`XFA - Invalid content in Text: ${e[Ws]}.`);return!1}[Vs](e){this[ss]instanceof XFAObject||super[Vs](e)}[hs](){"string"==typeof this[ss]&&(this[ss]=this[ss].replaceAll("\\r\\n","\\n"))}[ws](){return"string"==typeof this[ss]?this[ss].split(/[\\u2029\\u2028\\n]/).filter((e=>!!e)).join("\\n"):this[ss][so]()}[co](e){if("string"==typeof this[ss]){const e=valueToHtml(this[ss]).html;if(this[ss].includes("\\u2029")){e.name="div";e.children=[];this[ss].split("\\u2029").map((e=>e.split(/[\\u2028\\n]/).flatMap((e=>[{name:"span",value:e},{name:"br"}])))).forEach((t=>{e.children.push({name:"p",children:t})}))}else if(/[\\u2028\\n]/.test(this[ss])){e.name="div";e.children=[];this[ss].split(/[\\u2028\\n]/).forEach((t=>{e.children.push({name:"span",value:t},{name:"br"})}))}return HTMLResult.success(e)}return this[ss][co](e)}}class TextEdit extends XFAObject{constructor(e){super(Go,"textEdit",!0);this.allowRichText=getInteger({data:e.allowRichText,defaultValue:0,validate:e=>1===e});this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.multiLine=getInteger({data:e.multiLine,defaultValue:"",validate:e=>0===e||1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.vScrollPolicy=getStringOption(e.vScrollPolicy,["auto","off","on"]);this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin");let a;const r=this[vs]()[vs]();""===this.multiLine&&(this.multiLine=r instanceof Draw?1:0);a=1===this.multiLine?{name:"textarea",attributes:{dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}}:{name:"input",attributes:{type:"text",dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}};if(isRequired(r)){a.attributes["aria-required"]=!0;a.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[a]})}}class Time extends StringObject{constructor(e){super(Go,"time");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class TimeStamp extends XFAObject{constructor(e){super(Go,"timeStamp");this.id=e.id||"";this.server=e.server||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class ToolTip extends StringObject{constructor(e){super(Go,"toolTip");this.id=e.id||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Traversal extends XFAObject{constructor(e){super(Go,"traversal",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.traverse=new XFAObjectArray}}class Traverse extends XFAObject{constructor(e){super(Go,"traverse",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["next","back","down","first","left","right","up"]);this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.script=null}get name(){return this.operation}[Us](){return!1}}class Ui extends XFAObject{constructor(e){super(Go,"ui",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null;this.barcode=null;this.button=null;this.checkButton=null;this.choiceList=null;this.dateTimeEdit=null;this.defaultUi=null;this.imageEdit=null;this.numericEdit=null;this.passwordEdit=null;this.signature=null;this.textEdit=null}[ws](){if(void 0===this[ls]){for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"picture"===e)continue;const t=this[e];if(t instanceof XFAObject){this[ls]=t;return t}}this[ls]=null}return this[ls]}[co](e){const t=this[ws]();return t?t[co](e):HTMLResult.EMPTY}}class Validate extends XFAObject{constructor(e){super(Go,"validate",!0);this.formatTest=getStringOption(e.formatTest,["warning","disabled","error"]);this.id=e.id||"";this.nullTest=getStringOption(e.nullTest,["disabled","error","warning"]);this.scriptTest=getStringOption(e.scriptTest,["error","disabled","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.picture=null;this.script=null}}class Value extends XFAObject{constructor(e){super(Go,"value",!0);this.id=e.id||"";this.override=getInteger({data:e.override,defaultValue:0,validate:e=>1===e});this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.arc=null;this.boolean=null;this.date=null;this.dateTime=null;this.decimal=null;this.exData=null;this.float=null;this.image=null;this.integer=null;this.line=null;this.rectangle=null;this.text=null;this.time=null}[io](e){const t=this[vs]();if(t instanceof Field&&t.ui?.imageEdit){if(!this.image){this.image=new Image({});this[Qn](this.image)}this.image[ss]=e[ss];return}const a=e[Ws];if(null===this[a]){for(const e of Object.getOwnPropertyNames(this)){const t=this[e];if(t instanceof XFAObject){this[e]=null;this[Zs](t)}}this[e[Ws]]=e;this[Qn](e)}else this[a][ss]=e[ss]}[so](){if(this.exData)return"string"==typeof this.exData[ss]?this.exData[ss].trim():this.exData[ss][so]().trim();for(const e of Object.getOwnPropertyNames(this)){if("image"===e)continue;const t=this[e];if(t instanceof XFAObject)return(t[ss]||"").toString().trim()}return null}[co](e){for(const t of Object.getOwnPropertyNames(this)){const a=this[t];if(a instanceof XFAObject)return a[co](e)}return HTMLResult.EMPTY}}class Variables extends XFAObject{constructor(e){super(Go,"variables",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.manifest=new XFAObjectArray;this.script=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[Us](){return!0}}class TemplateNamespace{static[fo](e,t){if(TemplateNamespace.hasOwnProperty(e)){const a=TemplateNamespace[e](t);a[ro](t);return a}}static appearanceFilter(e){return new AppearanceFilter(e)}static arc(e){return new Arc(e)}static area(e){return new Area(e)}static assist(e){return new Assist(e)}static barcode(e){return new Barcode(e)}static bind(e){return new Bind(e)}static bindItems(e){return new BindItems(e)}static bookend(e){return new Bookend(e)}static boolean(e){return new BooleanElement(e)}static border(e){return new Border(e)}static break(e){return new Break(e)}static breakAfter(e){return new BreakAfter(e)}static breakBefore(e){return new BreakBefore(e)}static button(e){return new Button(e)}static calculate(e){return new Calculate(e)}static caption(e){return new Caption(e)}static certificate(e){return new Certificate(e)}static certificates(e){return new Certificates(e)}static checkButton(e){return new CheckButton(e)}static choiceList(e){return new ChoiceList(e)}static color(e){return new Color(e)}static comb(e){return new Comb(e)}static connect(e){return new Connect(e)}static contentArea(e){return new ContentArea(e)}static corner(e){return new Corner(e)}static date(e){return new DateElement(e)}static dateTime(e){return new DateTime(e)}static dateTimeEdit(e){return new DateTimeEdit(e)}static decimal(e){return new Decimal(e)}static defaultUi(e){return new DefaultUi(e)}static desc(e){return new Desc(e)}static digestMethod(e){return new DigestMethod(e)}static digestMethods(e){return new DigestMethods(e)}static draw(e){return new Draw(e)}static edge(e){return new Edge(e)}static encoding(e){return new Encoding(e)}static encodings(e){return new Encodings(e)}static encrypt(e){return new Encrypt(e)}static encryptData(e){return new EncryptData(e)}static encryption(e){return new Encryption(e)}static encryptionMethod(e){return new EncryptionMethod(e)}static encryptionMethods(e){return new EncryptionMethods(e)}static event(e){return new Event(e)}static exData(e){return new ExData(e)}static exObject(e){return new ExObject(e)}static exclGroup(e){return new ExclGroup(e)}static execute(e){return new Execute(e)}static extras(e){return new Extras(e)}static field(e){return new Field(e)}static fill(e){return new Fill(e)}static filter(e){return new Filter(e)}static float(e){return new Float(e)}static font(e){return new template_Font(e)}static format(e){return new Format(e)}static handler(e){return new Handler(e)}static hyphenation(e){return new Hyphenation(e)}static image(e){return new Image(e)}static imageEdit(e){return new ImageEdit(e)}static integer(e){return new Integer(e)}static issuers(e){return new Issuers(e)}static items(e){return new Items(e)}static keep(e){return new Keep(e)}static keyUsage(e){return new KeyUsage(e)}static line(e){return new Line(e)}static linear(e){return new Linear(e)}static lockDocument(e){return new LockDocument(e)}static manifest(e){return new Manifest(e)}static margin(e){return new Margin(e)}static mdp(e){return new Mdp(e)}static medium(e){return new Medium(e)}static message(e){return new Message(e)}static numericEdit(e){return new NumericEdit(e)}static occur(e){return new Occur(e)}static oid(e){return new Oid(e)}static oids(e){return new Oids(e)}static overflow(e){return new Overflow(e)}static pageArea(e){return new PageArea(e)}static pageSet(e){return new PageSet(e)}static para(e){return new Para(e)}static passwordEdit(e){return new PasswordEdit(e)}static pattern(e){return new template_Pattern(e)}static picture(e){return new Picture(e)}static proto(e){return new Proto(e)}static radial(e){return new Radial(e)}static reason(e){return new Reason(e)}static reasons(e){return new Reasons(e)}static rectangle(e){return new Rectangle(e)}static ref(e){return new RefElement(e)}static script(e){return new Script(e)}static setProperty(e){return new SetProperty(e)}static signData(e){return new SignData(e)}static signature(e){return new Signature(e)}static signing(e){return new Signing(e)}static solid(e){return new Solid(e)}static speak(e){return new Speak(e)}static stipple(e){return new Stipple(e)}static subform(e){return new Subform(e)}static subformSet(e){return new SubformSet(e)}static subjectDN(e){return new SubjectDN(e)}static subjectDNs(e){return new SubjectDNs(e)}static submit(e){return new Submit(e)}static template(e){return new Template(e)}static text(e){return new Text(e)}static textEdit(e){return new TextEdit(e)}static time(e){return new Time(e)}static timeStamp(e){return new TimeStamp(e)}static toolTip(e){return new ToolTip(e)}static traversal(e){return new Traversal(e)}static traverse(e){return new Traverse(e)}static ui(e){return new Ui(e)}static validate(e){return new Validate(e)}static value(e){return new Value(e)}static variables(e){return new Variables(e)}}const Zo=go.datasets.id;function createText(e){const t=new Text({});t[ss]=e;return t}class Binder{constructor(e){this.root=e;this.datasets=e.datasets;this.data=e.datasets?.data||new XmlObject(go.datasets.id,"data");this.emptyMerge=0===this.data[Ss]().length;this.root.form=this.form=e.template[is]()}_isConsumeData(){return!this.emptyMerge&&this._mergeMode}_isMatchTemplate(){return!this._isConsumeData()}bind(){this._bindElement(this.form,this.data);return this.form}getData(){return this.data}_bindValue(e,t,a){e[os]=t;if(e[Ts]())if(t[Ns]()){const a=t[ys]();e[io](createText(a))}else if(e instanceof Field&&"multiSelect"===e.ui?.choiceList?.open){const a=t[Ss]().map((e=>e[ss].trim())).join("\\n");e[io](createText(a))}else this._isConsumeData()&&warn("XFA - Nodes haven\'t the same type.");else!t[Ns]()||this._isMatchTemplate()?this._bindElement(e,t):warn("XFA - Nodes haven\'t the same type.")}_findDataByNameToConsume(e,t,a,r){if(!e)return null;let i,n;for(let r=0;r<3;r++){i=a[xs](e,!1,!0);for(;;){n=i.next().value;if(!n)break;if(t===n[Ns]())return n}if(a[Hs]===go.datasets.id&&"data"===a[Ws])break;a=a[vs]()}if(!r)return null;i=this.data[xs](e,!0,!1);n=i.next().value;if(n)return n;i=this.data[ds](e,!0);n=i.next().value;return n?.[Ns]()?n:null}_setProperties(e,t){if(e.hasOwnProperty("setProperty"))for(const{ref:a,target:r,connection:i}of e.setProperty.children){if(i)continue;if(!a)continue;const n=searchNode(this.root,t,a,!1,!1);if(!n){warn(`XFA - Invalid reference: ${a}.`);continue}const[s]=n;if(!s[Es](this.data)){warn("XFA - Invalid node: must be a data node.");continue}const o=searchNode(this.root,e,r,!1,!1);if(!o){warn(`XFA - Invalid target: ${r}.`);continue}const[c]=o;if(!c[Es](e)){warn("XFA - Invalid target: must be a property or subproperty.");continue}const l=c[vs]();if(c instanceof SetProperty||l instanceof SetProperty){warn("XFA - Invalid target: cannot be a setProperty or one of its properties.");continue}if(c instanceof BindItems||l instanceof BindItems){warn("XFA - Invalid target: cannot be a bindItems or one of its properties.");continue}const h=s[so](),u=c[Ws];if(c instanceof XFAAttribute){const e=Object.create(null);e[u]=h;const t=Reflect.construct(Object.getPrototypeOf(l).constructor,[e]);l[u]=t[u]}else if(c.hasOwnProperty(ss)){c[os]=s;c[ss]=h;c[hs]()}else warn("XFA - Invalid node to use in setProperty")}}_bindItems(e,t){if(!e.hasOwnProperty("items")||!e.hasOwnProperty("bindItems")||e.bindItems.isEmpty())return;for(const t of e.items.children)e[Zs](t);e.items.clear();const a=new Items({}),r=new Items({});e[Qn](a);e.items.push(a);e[Qn](r);e.items.push(r);for(const{ref:i,labelRef:n,valueRef:s,connection:o}of e.bindItems.children){if(o)continue;if(!i)continue;const e=searchNode(this.root,t,i,!1,!1);if(e)for(const t of e){if(!t[Es](this.datasets)){warn(`XFA - Invalid ref (${i}): must be a datasets child.`);continue}const e=searchNode(this.root,t,n,!0,!1);if(!e){warn(`XFA - Invalid label: ${n}.`);continue}const[o]=e;if(!o[Es](this.datasets)){warn("XFA - Invalid label: must be a datasets child.");continue}const c=searchNode(this.root,t,s,!0,!1);if(!c){warn(`XFA - Invalid value: ${s}.`);continue}const[l]=c;if(!l[Es](this.datasets)){warn("XFA - Invalid value: must be a datasets child.");continue}const h=createText(o[so]()),u=createText(l[so]());a[Qn](h);a.text.push(h);r[Qn](u);r.text.push(u)}else warn(`XFA - Invalid reference: ${i}.`)}}_bindOccurrences(e,t,a){let r;if(t.length>1){r=e[is]();r[Zs](r.occur);r.occur=null}this._bindValue(e,t[0],a);this._setProperties(e,t[0]);this._bindItems(e,t[0]);if(1===t.length)return;const i=e[vs](),n=e[Ws],s=i[Ms](e);for(let e=1,o=t.length;e<o;e++){const o=t[e],c=r[is]();i[n].push(c);i[Ds](s+e,c);this._bindValue(c,o,a);this._setProperties(c,o);this._bindItems(c,o)}}_createOccurrences(e){if(!this.emptyMerge)return;const{occur:t}=e;if(!t||t.initial<=1)return;const a=e[vs](),r=e[Ws];if(!(a[r]instanceof XFAObjectArray))return;let i;i=e.name?a[r].children.filter((t=>t.name===e.name)).length:a[r].children.length;const n=a[Ms](e)+1,s=t.initial-i;if(s){const t=e[is]();t[Zs](t.occur);t.occur=null;a[r].push(t);a[Ds](n,t);for(let e=1;e<s;e++){const i=t[is]();a[r].push(i);a[Ds](n+e,i)}}}_getOccurInfo(e){const{name:t,occur:a}=e;if(!a||!t)return[1,1];const r=-1===a.max?1/0:a.max;return[a.min,r]}_setAndBind(e,t){this._setProperties(e,t);this._bindItems(e,t);this._bindElement(e,t)}_bindElement(e,t){const a=[];this._createOccurrences(e);for(const r of e[Ss]()){if(r[os])continue;if(void 0===this._mergeMode&&"subform"===r[Ws]){this._mergeMode="consumeData"===r.mergeMode;const e=t[Ss]();if(e.length>0)this._bindOccurrences(r,[e[0]],null);else if(this.emptyMerge){const e=t[Hs]===Zo?-1:t[Hs],a=r[os]=new XmlObject(e,r.name||"root");t[Qn](a);this._bindElement(r,a)}continue}if(!r[Rs]())continue;let e=!1,i=null,n=null,s=null;if(r.bind){switch(r.bind.match){case"none":this._setAndBind(r,t);continue;case"global":e=!0;break;case"dataRef":if(!r.bind.ref){warn(`XFA - ref is empty in node ${r[Ws]}.`);this._setAndBind(r,t);continue}n=r.bind.ref}r.bind.picture&&(i=r.bind.picture[ss])}const[o,c]=this._getOccurInfo(r);if(n){s=searchNode(this.root,t,n,!0,!1);if(null===s){s=createDataNode(this.data,t,n);if(!s)continue;this._isConsumeData()&&(s[ns]=!0);this._setAndBind(r,s);continue}this._isConsumeData()&&(s=s.filter((e=>!e[ns])));s.length>c?s=s.slice(0,c):0===s.length&&(s=null);s&&this._isConsumeData()&&s.forEach((e=>{e[ns]=!0}))}else{if(!r.name){this._setAndBind(r,t);continue}if(this._isConsumeData()){const a=[];for(;a.length<c;){const i=this._findDataByNameToConsume(r.name,r[Ts](),t,e);if(!i)break;i[ns]=!0;a.push(i)}s=a.length>0?a:null}else{s=t[xs](r.name,!1,this.emptyMerge).next().value;if(!s){if(0===o){a.push(r);continue}const e=t[Hs]===Zo?-1:t[Hs];s=r[os]=new XmlObject(e,r.name);this.emptyMerge&&(s[ns]=!0);t[Qn](s);this._setAndBind(r,s);continue}this.emptyMerge&&(s[ns]=!0);s=[s]}}s?this._bindOccurrences(r,s,i):o>0?this._setAndBind(r,t):a.push(r)}a.forEach((e=>e[vs]()[Zs](e)))}}class DataHandler{constructor(e,t){this.data=t;this.dataset=e.datasets||null}serialize(e){const t=[[-1,this.data[Ss]()]];for(;t.length>0;){const a=t.at(-1),[r,i]=a;if(r+1===i.length){t.pop();continue}const n=i[++a[0]],s=e.get(n[uo]);if(s)n[io](s);else{const t=n[fs]();for(const a of t.values()){const t=e.get(a[uo]);if(t){a[io](t);break}}}const o=n[Ss]();o.length>0&&t.push([-1,o])}const a=[\'<xfa:datasets xmlns:xfa="http://www.xfa.org/schema/xfa-data/1.0/">\'];if(this.dataset)for(const e of this.dataset[Ss]())"data"!==e[Ws]&&e[lo](a);this.data[lo](a);a.push("</xfa:datasets>");return a.join("")}}const Qo=go.config.id;class Acrobat extends XFAObject{constructor(e){super(Qo,"acrobat",!0);this.acrobat7=null;this.autoSave=null;this.common=null;this.validate=null;this.validateApprovalSignatures=null;this.submitUrl=new XFAObjectArray}}class Acrobat7 extends XFAObject{constructor(e){super(Qo,"acrobat7",!0);this.dynamicRender=null}}class ADBE_JSConsole extends OptionObject{constructor(e){super(Qo,"ADBE_JSConsole",["delegate","Enable","Disable"])}}class ADBE_JSDebugger extends OptionObject{constructor(e){super(Qo,"ADBE_JSDebugger",["delegate","Enable","Disable"])}}class AddSilentPrint extends Option01{constructor(e){super(Qo,"addSilentPrint")}}class AddViewerPreferences extends Option01{constructor(e){super(Qo,"addViewerPreferences")}}class AdjustData extends Option10{constructor(e){super(Qo,"adjustData")}}class AdobeExtensionLevel extends IntegerObject{constructor(e){super(Qo,"adobeExtensionLevel",0,(e=>e>=1&&e<=8))}}class Agent extends XFAObject{constructor(e){super(Qo,"agent",!0);this.name=e.name?e.name.trim():"";this.common=new XFAObjectArray}}class AlwaysEmbed extends ContentObject{constructor(e){super(Qo,"alwaysEmbed")}}class Amd extends StringObject{constructor(e){super(Qo,"amd")}}class config_Area extends XFAObject{constructor(e){super(Qo,"area");this.level=getInteger({data:e.level,defaultValue:0,validate:e=>e>=1&&e<=3});this.name=getStringOption(e.name,["","barcode","coreinit","deviceDriver","font","general","layout","merge","script","signature","sourceSet","templateCache"])}}class Attributes extends OptionObject{constructor(e){super(Qo,"attributes",["preserve","delegate","ignore"])}}class AutoSave extends OptionObject{constructor(e){super(Qo,"autoSave",["disabled","enabled"])}}class Base extends StringObject{constructor(e){super(Qo,"base")}}class BatchOutput extends XFAObject{constructor(e){super(Qo,"batchOutput");this.format=getStringOption(e.format,["none","concat","zip","zipCompress"])}}class BehaviorOverride extends ContentObject{constructor(e){super(Qo,"behaviorOverride")}[hs](){this[ss]=new Map(this[ss].trim().split(/\\s+/).filter((e=>e.includes(":"))).map((e=>e.split(":",2))))}}class Cache extends XFAObject{constructor(e){super(Qo,"cache",!0);this.templateCache=null}}class Change extends Option01{constructor(e){super(Qo,"change")}}class Common extends XFAObject{constructor(e){super(Qo,"common",!0);this.data=null;this.locale=null;this.localeSet=null;this.messaging=null;this.suppressBanner=null;this.template=null;this.validationMessaging=null;this.versionControl=null;this.log=new XFAObjectArray}}class Compress extends XFAObject{constructor(e){super(Qo,"compress");this.scope=getStringOption(e.scope,["imageOnly","document"])}}class CompressLogicalStructure extends Option01{constructor(e){super(Qo,"compressLogicalStructure")}}class CompressObjectStream extends Option10{constructor(e){super(Qo,"compressObjectStream")}}class Compression extends XFAObject{constructor(e){super(Qo,"compression",!0);this.compressLogicalStructure=null;this.compressObjectStream=null;this.level=null;this.type=null}}class Config extends XFAObject{constructor(e){super(Qo,"config",!0);this.acrobat=null;this.present=null;this.trace=null;this.agent=new XFAObjectArray}}class Conformance extends OptionObject{constructor(e){super(Qo,"conformance",["A","B"])}}class ContentCopy extends Option01{constructor(e){super(Qo,"contentCopy")}}class Copies extends IntegerObject{constructor(e){super(Qo,"copies",1,(e=>e>=1))}}class Creator extends StringObject{constructor(e){super(Qo,"creator")}}class CurrentPage extends IntegerObject{constructor(e){super(Qo,"currentPage",0,(e=>e>=0))}}class Data extends XFAObject{constructor(e){super(Qo,"data",!0);this.adjustData=null;this.attributes=null;this.incrementalLoad=null;this.outputXSL=null;this.range=null;this.record=null;this.startNode=null;this.uri=null;this.window=null;this.xsl=null;this.excludeNS=new XFAObjectArray;this.transform=new XFAObjectArray}}class Debug extends XFAObject{constructor(e){super(Qo,"debug",!0);this.uri=null}}class DefaultTypeface extends ContentObject{constructor(e){super(Qo,"defaultTypeface");this.writingScript=getStringOption(e.writingScript,["*","Arabic","Cyrillic","EastEuropeanRoman","Greek","Hebrew","Japanese","Korean","Roman","SimplifiedChinese","Thai","TraditionalChinese","Vietnamese"])}}class Destination extends OptionObject{constructor(e){super(Qo,"destination",["pdf","pcl","ps","webClient","zpl"])}}class DocumentAssembly extends Option01{constructor(e){super(Qo,"documentAssembly")}}class Driver extends XFAObject{constructor(e){super(Qo,"driver",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class DuplexOption extends OptionObject{constructor(e){super(Qo,"duplexOption",["simplex","duplexFlipLongEdge","duplexFlipShortEdge"])}}class DynamicRender extends OptionObject{constructor(e){super(Qo,"dynamicRender",["forbidden","required"])}}class Embed extends Option01{constructor(e){super(Qo,"embed")}}class config_Encrypt extends Option01{constructor(e){super(Qo,"encrypt")}}class config_Encryption extends XFAObject{constructor(e){super(Qo,"encryption",!0);this.encrypt=null;this.encryptionLevel=null;this.permissions=null}}class EncryptionLevel extends OptionObject{constructor(e){super(Qo,"encryptionLevel",["40bit","128bit"])}}class Enforce extends StringObject{constructor(e){super(Qo,"enforce")}}class Equate extends XFAObject{constructor(e){super(Qo,"equate");this.force=getInteger({data:e.force,defaultValue:1,validate:e=>0===e});this.from=e.from||"";this.to=e.to||""}}class EquateRange extends XFAObject{constructor(e){super(Qo,"equateRange");this.from=e.from||"";this.to=e.to||"";this._unicodeRange=e.unicodeRange||""}get unicodeRange(){const e=[],t=/U\\+([0-9a-fA-F]+)/,a=this._unicodeRange;for(let r of a.split(",").map((e=>e.trim())).filter((e=>!!e))){r=r.split("-",2).map((e=>{const a=e.match(t);return a?parseInt(a[1],16):0}));1===r.length&&r.push(r[0]);e.push(r)}return shadow(this,"unicodeRange",e)}}class Exclude extends ContentObject{constructor(e){super(Qo,"exclude")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>e&&["calculate","close","enter","exit","initialize","ready","validate"].includes(e)))}}class ExcludeNS extends StringObject{constructor(e){super(Qo,"excludeNS")}}class FlipLabel extends OptionObject{constructor(e){super(Qo,"flipLabel",["usePrinterSetting","on","off"])}}class config_FontInfo extends XFAObject{constructor(e){super(Qo,"fontInfo",!0);this.embed=null;this.map=null;this.subsetBelow=null;this.alwaysEmbed=new XFAObjectArray;this.defaultTypeface=new XFAObjectArray;this.neverEmbed=new XFAObjectArray}}class FormFieldFilling extends Option01{constructor(e){super(Qo,"formFieldFilling")}}class GroupParent extends StringObject{constructor(e){super(Qo,"groupParent")}}class IfEmpty extends OptionObject{constructor(e){super(Qo,"ifEmpty",["dataValue","dataGroup","ignore","remove"])}}class IncludeXDPContent extends StringObject{constructor(e){super(Qo,"includeXDPContent")}}class IncrementalLoad extends OptionObject{constructor(e){super(Qo,"incrementalLoad",["none","forwardOnly"])}}class IncrementalMerge extends Option01{constructor(e){super(Qo,"incrementalMerge")}}class Interactive extends Option01{constructor(e){super(Qo,"interactive")}}class Jog extends OptionObject{constructor(e){super(Qo,"jog",["usePrinterSetting","none","pageSet"])}}class LabelPrinter extends XFAObject{constructor(e){super(Qo,"labelPrinter",!0);this.name=getStringOption(e.name,["zpl","dpl","ipl","tcpl"]);this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class Layout extends OptionObject{constructor(e){super(Qo,"layout",["paginate","panel"])}}class Level extends IntegerObject{constructor(e){super(Qo,"level",0,(e=>e>0))}}class Linearized extends Option01{constructor(e){super(Qo,"linearized")}}class Locale extends StringObject{constructor(e){super(Qo,"locale")}}class LocaleSet extends StringObject{constructor(e){super(Qo,"localeSet")}}class Log extends XFAObject{constructor(e){super(Qo,"log",!0);this.mode=null;this.threshold=null;this.to=null;this.uri=null}}class MapElement extends XFAObject{constructor(e){super(Qo,"map",!0);this.equate=new XFAObjectArray;this.equateRange=new XFAObjectArray}}class MediumInfo extends XFAObject{constructor(e){super(Qo,"mediumInfo",!0);this.map=null}}class config_Message extends XFAObject{constructor(e){super(Qo,"message",!0);this.msgId=null;this.severity=null}}class Messaging extends XFAObject{constructor(e){super(Qo,"messaging",!0);this.message=new XFAObjectArray}}class Mode extends OptionObject{constructor(e){super(Qo,"mode",["append","overwrite"])}}class ModifyAnnots extends Option01{constructor(e){super(Qo,"modifyAnnots")}}class MsgId extends IntegerObject{constructor(e){super(Qo,"msgId",1,(e=>e>=1))}}class NameAttr extends StringObject{constructor(e){super(Qo,"nameAttr")}}class NeverEmbed extends ContentObject{constructor(e){super(Qo,"neverEmbed")}}class NumberOfCopies extends IntegerObject{constructor(e){super(Qo,"numberOfCopies",null,(e=>e>=2&&e<=5))}}class OpenAction extends XFAObject{constructor(e){super(Qo,"openAction",!0);this.destination=null}}class Output extends XFAObject{constructor(e){super(Qo,"output",!0);this.to=null;this.type=null;this.uri=null}}class OutputBin extends StringObject{constructor(e){super(Qo,"outputBin")}}class OutputXSL extends XFAObject{constructor(e){super(Qo,"outputXSL",!0);this.uri=null}}class Overprint extends OptionObject{constructor(e){super(Qo,"overprint",["none","both","draw","field"])}}class Packets extends StringObject{constructor(e){super(Qo,"packets")}[hs](){"*"!==this[ss]&&(this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["config","datasets","template","xfdf","xslt"].includes(e))))}}class PageOffset extends XFAObject{constructor(e){super(Qo,"pageOffset");this.x=getInteger({data:e.x,defaultValue:"useXDCSetting",validate:e=>!0});this.y=getInteger({data:e.y,defaultValue:"useXDCSetting",validate:e=>!0})}}class PageRange extends StringObject{constructor(e){super(Qo,"pageRange")}[hs](){const e=this[ss].trim().split(/\\s+/).map((e=>parseInt(e,10))),t=[];for(let a=0,r=e.length;a<r;a+=2)t.push(e.slice(a,a+2));this[ss]=t}}class Pagination extends OptionObject{constructor(e){super(Qo,"pagination",["simplex","duplexShortEdge","duplexLongEdge"])}}class PaginationOverride extends OptionObject{constructor(e){super(Qo,"paginationOverride",["none","forceDuplex","forceDuplexLongEdge","forceDuplexShortEdge","forceSimplex"])}}class Part extends IntegerObject{constructor(e){super(Qo,"part",1,(e=>!1))}}class Pcl extends XFAObject{constructor(e){super(Qo,"pcl",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.pageOffset=null;this.staple=null;this.xdc=null}}class Pdf extends XFAObject{constructor(e){super(Qo,"pdf",!0);this.name=e.name||"";this.adobeExtensionLevel=null;this.batchOutput=null;this.compression=null;this.creator=null;this.encryption=null;this.fontInfo=null;this.interactive=null;this.linearized=null;this.openAction=null;this.pdfa=null;this.producer=null;this.renderPolicy=null;this.scriptModel=null;this.silentPrint=null;this.submitFormat=null;this.tagged=null;this.version=null;this.viewerPreferences=null;this.xdc=null}}class Pdfa extends XFAObject{constructor(e){super(Qo,"pdfa",!0);this.amd=null;this.conformance=null;this.includeXDPContent=null;this.part=null}}class Permissions extends XFAObject{constructor(e){super(Qo,"permissions",!0);this.accessibleContent=null;this.change=null;this.contentCopy=null;this.documentAssembly=null;this.formFieldFilling=null;this.modifyAnnots=null;this.plaintextMetadata=null;this.print=null;this.printHighQuality=null}}class PickTrayByPDFSize extends Option01{constructor(e){super(Qo,"pickTrayByPDFSize")}}class config_Picture extends StringObject{constructor(e){super(Qo,"picture")}}class PlaintextMetadata extends Option01{constructor(e){super(Qo,"plaintextMetadata")}}class Presence extends OptionObject{constructor(e){super(Qo,"presence",["preserve","dissolve","dissolveStructure","ignore","remove"])}}class Present extends XFAObject{constructor(e){super(Qo,"present",!0);this.behaviorOverride=null;this.cache=null;this.common=null;this.copies=null;this.destination=null;this.incrementalMerge=null;this.layout=null;this.output=null;this.overprint=null;this.pagination=null;this.paginationOverride=null;this.script=null;this.validate=null;this.xdp=null;this.driver=new XFAObjectArray;this.labelPrinter=new XFAObjectArray;this.pcl=new XFAObjectArray;this.pdf=new XFAObjectArray;this.ps=new XFAObjectArray;this.submitUrl=new XFAObjectArray;this.webClient=new XFAObjectArray;this.zpl=new XFAObjectArray}}class Print extends Option01{constructor(e){super(Qo,"print")}}class PrintHighQuality extends Option01{constructor(e){super(Qo,"printHighQuality")}}class PrintScaling extends OptionObject{constructor(e){super(Qo,"printScaling",["appdefault","noScaling"])}}class PrinterName extends StringObject{constructor(e){super(Qo,"printerName")}}class Producer extends StringObject{constructor(e){super(Qo,"producer")}}class Ps extends XFAObject{constructor(e){super(Qo,"ps",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.staple=null;this.xdc=null}}class Range extends ContentObject{constructor(e){super(Qo,"range")}[hs](){this[ss]=this[ss].split(",",2).map((e=>e.split("-").map((e=>parseInt(e.trim(),10))))).filter((e=>e.every((e=>!isNaN(e))))).map((e=>{1===e.length&&e.push(e[0]);return e}))}}class Record extends ContentObject{constructor(e){super(Qo,"record")}[hs](){this[ss]=this[ss].trim();const e=parseInt(this[ss],10);!isNaN(e)&&e>=0&&(this[ss]=e)}}class Relevant extends ContentObject{constructor(e){super(Qo,"relevant")}[hs](){this[ss]=this[ss].trim().split(/\\s+/)}}class Rename extends ContentObject{constructor(e){super(Qo,"rename")}[hs](){this[ss]=this[ss].trim();(this[ss].toLowerCase().startsWith("xml")||new RegExp("[\\\\p{L}_][\\\\p{L}\\\\d._\\\\p{M}-]*","u").test(this[ss]))&&warn("XFA - Rename: invalid XFA name")}}class RenderPolicy extends OptionObject{constructor(e){super(Qo,"renderPolicy",["server","client"])}}class RunScripts extends OptionObject{constructor(e){super(Qo,"runScripts",["both","client","none","server"])}}class config_Script extends XFAObject{constructor(e){super(Qo,"script",!0);this.currentPage=null;this.exclude=null;this.runScripts=null}}class ScriptModel extends OptionObject{constructor(e){super(Qo,"scriptModel",["XFA","none"])}}class Severity extends OptionObject{constructor(e){super(Qo,"severity",["ignore","error","information","trace","warning"])}}class SilentPrint extends XFAObject{constructor(e){super(Qo,"silentPrint",!0);this.addSilentPrint=null;this.printerName=null}}class Staple extends XFAObject{constructor(e){super(Qo,"staple");this.mode=getStringOption(e.mode,["usePrinterSetting","on","off"])}}class StartNode extends StringObject{constructor(e){super(Qo,"startNode")}}class StartPage extends IntegerObject{constructor(e){super(Qo,"startPage",0,(e=>!0))}}class SubmitFormat extends OptionObject{constructor(e){super(Qo,"submitFormat",["html","delegate","fdf","xml","pdf"])}}class SubmitUrl extends StringObject{constructor(e){super(Qo,"submitUrl")}}class SubsetBelow extends IntegerObject{constructor(e){super(Qo,"subsetBelow",100,(e=>e>=0&&e<=100))}}class SuppressBanner extends Option01{constructor(e){super(Qo,"suppressBanner")}}class Tagged extends Option01{constructor(e){super(Qo,"tagged")}}class config_Template extends XFAObject{constructor(e){super(Qo,"template",!0);this.base=null;this.relevant=null;this.startPage=null;this.uri=null;this.xsl=null}}class Threshold extends OptionObject{constructor(e){super(Qo,"threshold",["trace","error","information","warning"])}}class To extends OptionObject{constructor(e){super(Qo,"to",["null","memory","stderr","stdout","system","uri"])}}class TemplateCache extends XFAObject{constructor(e){super(Qo,"templateCache");this.maxEntries=getInteger({data:e.maxEntries,defaultValue:5,validate:e=>e>=0})}}class Trace extends XFAObject{constructor(e){super(Qo,"trace",!0);this.area=new XFAObjectArray}}class Transform extends XFAObject{constructor(e){super(Qo,"transform",!0);this.groupParent=null;this.ifEmpty=null;this.nameAttr=null;this.picture=null;this.presence=null;this.rename=null;this.whitespace=null}}class Type extends OptionObject{constructor(e){super(Qo,"type",["none","ascii85","asciiHex","ccittfax","flate","lzw","runLength","native","xdp","mergedXDP"])}}class Uri extends StringObject{constructor(e){super(Qo,"uri")}}class config_Validate extends OptionObject{constructor(e){super(Qo,"validate",["preSubmit","prePrint","preExecute","preSave"])}}class ValidateApprovalSignatures extends ContentObject{constructor(e){super(Qo,"validateApprovalSignatures")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["docReady","postSign"].includes(e)))}}class ValidationMessaging extends OptionObject{constructor(e){super(Qo,"validationMessaging",["allMessagesIndividually","allMessagesTogether","firstMessageOnly","noMessages"])}}class Version extends OptionObject{constructor(e){super(Qo,"version",["1.7","1.6","1.5","1.4","1.3","1.2"])}}class VersionControl extends XFAObject{constructor(e){super(Qo,"VersionControl");this.outputBelow=getStringOption(e.outputBelow,["warn","error","update"]);this.sourceAbove=getStringOption(e.sourceAbove,["warn","error"]);this.sourceBelow=getStringOption(e.sourceBelow,["update","maintain"])}}class ViewerPreferences extends XFAObject{constructor(e){super(Qo,"viewerPreferences",!0);this.ADBE_JSConsole=null;this.ADBE_JSDebugger=null;this.addViewerPreferences=null;this.duplexOption=null;this.enforce=null;this.numberOfCopies=null;this.pageRange=null;this.pickTrayByPDFSize=null;this.printScaling=null}}class WebClient extends XFAObject{constructor(e){super(Qo,"webClient",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class Whitespace extends OptionObject{constructor(e){super(Qo,"whitespace",["preserve","ltrim","normalize","rtrim","trim"])}}class Window extends ContentObject{constructor(e){super(Qo,"window")}[hs](){const e=this[ss].split(",",2).map((e=>parseInt(e.trim(),10)));if(e.some((e=>isNaN(e))))this[ss]=[0,0];else{1===e.length&&e.push(e[0]);this[ss]=e}}}class Xdc extends XFAObject{constructor(e){super(Qo,"xdc",!0);this.uri=new XFAObjectArray;this.xsl=new XFAObjectArray}}class Xdp extends XFAObject{constructor(e){super(Qo,"xdp",!0);this.packets=null}}class Xsl extends XFAObject{constructor(e){super(Qo,"xsl",!0);this.debug=null;this.uri=null}}class Zpl extends XFAObject{constructor(e){super(Qo,"zpl",!0);this.name=e.name?e.name.trim():"";this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class ConfigNamespace{static[fo](e,t){if(ConfigNamespace.hasOwnProperty(e))return ConfigNamespace[e](t)}static acrobat(e){return new Acrobat(e)}static acrobat7(e){return new Acrobat7(e)}static ADBE_JSConsole(e){return new ADBE_JSConsole(e)}static ADBE_JSDebugger(e){return new ADBE_JSDebugger(e)}static addSilentPrint(e){return new AddSilentPrint(e)}static addViewerPreferences(e){return new AddViewerPreferences(e)}static adjustData(e){return new AdjustData(e)}static adobeExtensionLevel(e){return new AdobeExtensionLevel(e)}static agent(e){return new Agent(e)}static alwaysEmbed(e){return new AlwaysEmbed(e)}static amd(e){return new Amd(e)}static area(e){return new config_Area(e)}static attributes(e){return new Attributes(e)}static autoSave(e){return new AutoSave(e)}static base(e){return new Base(e)}static batchOutput(e){return new BatchOutput(e)}static behaviorOverride(e){return new BehaviorOverride(e)}static cache(e){return new Cache(e)}static change(e){return new Change(e)}static common(e){return new Common(e)}static compress(e){return new Compress(e)}static compressLogicalStructure(e){return new CompressLogicalStructure(e)}static compressObjectStream(e){return new CompressObjectStream(e)}static compression(e){return new Compression(e)}static config(e){return new Config(e)}static conformance(e){return new Conformance(e)}static contentCopy(e){return new ContentCopy(e)}static copies(e){return new Copies(e)}static creator(e){return new Creator(e)}static currentPage(e){return new CurrentPage(e)}static data(e){return new Data(e)}static debug(e){return new Debug(e)}static defaultTypeface(e){return new DefaultTypeface(e)}static destination(e){return new Destination(e)}static documentAssembly(e){return new DocumentAssembly(e)}static driver(e){return new Driver(e)}static duplexOption(e){return new DuplexOption(e)}static dynamicRender(e){return new DynamicRender(e)}static embed(e){return new Embed(e)}static encrypt(e){return new config_Encrypt(e)}static encryption(e){return new config_Encryption(e)}static encryptionLevel(e){return new EncryptionLevel(e)}static enforce(e){return new Enforce(e)}static equate(e){return new Equate(e)}static equateRange(e){return new EquateRange(e)}static exclude(e){return new Exclude(e)}static excludeNS(e){return new ExcludeNS(e)}static flipLabel(e){return new FlipLabel(e)}static fontInfo(e){return new config_FontInfo(e)}static formFieldFilling(e){return new FormFieldFilling(e)}static groupParent(e){return new GroupParent(e)}static ifEmpty(e){return new IfEmpty(e)}static includeXDPContent(e){return new IncludeXDPContent(e)}static incrementalLoad(e){return new IncrementalLoad(e)}static incrementalMerge(e){return new IncrementalMerge(e)}static interactive(e){return new Interactive(e)}static jog(e){return new Jog(e)}static labelPrinter(e){return new LabelPrinter(e)}static layout(e){return new Layout(e)}static level(e){return new Level(e)}static linearized(e){return new Linearized(e)}static locale(e){return new Locale(e)}static localeSet(e){return new LocaleSet(e)}static log(e){return new Log(e)}static map(e){return new MapElement(e)}static mediumInfo(e){return new MediumInfo(e)}static message(e){return new config_Message(e)}static messaging(e){return new Messaging(e)}static mode(e){return new Mode(e)}static modifyAnnots(e){return new ModifyAnnots(e)}static msgId(e){return new MsgId(e)}static nameAttr(e){return new NameAttr(e)}static neverEmbed(e){return new NeverEmbed(e)}static numberOfCopies(e){return new NumberOfCopies(e)}static openAction(e){return new OpenAction(e)}static output(e){return new Output(e)}static outputBin(e){return new OutputBin(e)}static outputXSL(e){return new OutputXSL(e)}static overprint(e){return new Overprint(e)}static packets(e){return new Packets(e)}static pageOffset(e){return new PageOffset(e)}static pageRange(e){return new PageRange(e)}static pagination(e){return new Pagination(e)}static paginationOverride(e){return new PaginationOverride(e)}static part(e){return new Part(e)}static pcl(e){return new Pcl(e)}static pdf(e){return new Pdf(e)}static pdfa(e){return new Pdfa(e)}static permissions(e){return new Permissions(e)}static pickTrayByPDFSize(e){return new PickTrayByPDFSize(e)}static picture(e){return new config_Picture(e)}static plaintextMetadata(e){return new PlaintextMetadata(e)}static presence(e){return new Presence(e)}static present(e){return new Present(e)}static print(e){return new Print(e)}static printHighQuality(e){return new PrintHighQuality(e)}static printScaling(e){return new PrintScaling(e)}static printerName(e){return new PrinterName(e)}static producer(e){return new Producer(e)}static ps(e){return new Ps(e)}static range(e){return new Range(e)}static record(e){return new Record(e)}static relevant(e){return new Relevant(e)}static rename(e){return new Rename(e)}static renderPolicy(e){return new RenderPolicy(e)}static runScripts(e){return new RunScripts(e)}static script(e){return new config_Script(e)}static scriptModel(e){return new ScriptModel(e)}static severity(e){return new Severity(e)}static silentPrint(e){return new SilentPrint(e)}static staple(e){return new Staple(e)}static startNode(e){return new StartNode(e)}static startPage(e){return new StartPage(e)}static submitFormat(e){return new SubmitFormat(e)}static submitUrl(e){return new SubmitUrl(e)}static subsetBelow(e){return new SubsetBelow(e)}static suppressBanner(e){return new SuppressBanner(e)}static tagged(e){return new Tagged(e)}static template(e){return new config_Template(e)}static templateCache(e){return new TemplateCache(e)}static threshold(e){return new Threshold(e)}static to(e){return new To(e)}static trace(e){return new Trace(e)}static transform(e){return new Transform(e)}static type(e){return new Type(e)}static uri(e){return new Uri(e)}static validate(e){return new config_Validate(e)}static validateApprovalSignatures(e){return new ValidateApprovalSignatures(e)}static validationMessaging(e){return new ValidationMessaging(e)}static version(e){return new Version(e)}static versionControl(e){return new VersionControl(e)}static viewerPreferences(e){return new ViewerPreferences(e)}static webClient(e){return new WebClient(e)}static whitespace(e){return new Whitespace(e)}static window(e){return new Window(e)}static xdc(e){return new Xdc(e)}static xdp(e){return new Xdp(e)}static xsl(e){return new Xsl(e)}static zpl(e){return new Zpl(e)}}const ec=go.connectionSet.id;class ConnectionSet extends XFAObject{constructor(e){super(ec,"connectionSet",!0);this.wsdlConnection=new XFAObjectArray;this.xmlConnection=new XFAObjectArray;this.xsdConnection=new XFAObjectArray}}class EffectiveInputPolicy extends XFAObject{constructor(e){super(ec,"effectiveInputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EffectiveOutputPolicy extends XFAObject{constructor(e){super(ec,"effectiveOutputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Operation extends StringObject{constructor(e){super(ec,"operation");this.id=e.id||"";this.input=e.input||"";this.name=e.name||"";this.output=e.output||"";this.use=e.use||"";this.usehref=e.usehref||""}}class RootElement extends StringObject{constructor(e){super(ec,"rootElement");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAction extends StringObject{constructor(e){super(ec,"soapAction");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAddress extends StringObject{constructor(e){super(ec,"soapAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class connection_set_Uri extends StringObject{constructor(e){super(ec,"uri");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlAddress extends StringObject{constructor(e){super(ec,"wsdlAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlConnection extends XFAObject{constructor(e){super(ec,"wsdlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.effectiveInputPolicy=null;this.effectiveOutputPolicy=null;this.operation=null;this.soapAction=null;this.soapAddress=null;this.wsdlAddress=null}}class XmlConnection extends XFAObject{constructor(e){super(ec,"xmlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.uri=null}}class XsdConnection extends XFAObject{constructor(e){super(ec,"xsdConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.rootElement=null;this.uri=null}}class ConnectionSetNamespace{static[fo](e,t){if(ConnectionSetNamespace.hasOwnProperty(e))return ConnectionSetNamespace[e](t)}static connectionSet(e){return new ConnectionSet(e)}static effectiveInputPolicy(e){return new EffectiveInputPolicy(e)}static effectiveOutputPolicy(e){return new EffectiveOutputPolicy(e)}static operation(e){return new Operation(e)}static rootElement(e){return new RootElement(e)}static soapAction(e){return new SoapAction(e)}static soapAddress(e){return new SoapAddress(e)}static uri(e){return new connection_set_Uri(e)}static wsdlAddress(e){return new WsdlAddress(e)}static wsdlConnection(e){return new WsdlConnection(e)}static xmlConnection(e){return new XmlConnection(e)}static xsdConnection(e){return new XsdConnection(e)}}const tc=go.datasets.id;class datasets_Data extends XmlObject{constructor(e){super(tc,"data",e)}[Ls](){return!0}}class Datasets extends XFAObject{constructor(e){super(tc,"datasets",!0);this.data=null;this.Signature=null}[$s](e){const t=e[Ws];("data"===t&&e[Hs]===tc||"Signature"===t&&e[Hs]===go.signature.id)&&(this[t]=e);this[Qn](e)}}class DatasetsNamespace{static[fo](e,t){if(DatasetsNamespace.hasOwnProperty(e))return DatasetsNamespace[e](t)}static datasets(e){return new Datasets(e)}static data(e){return new datasets_Data(e)}}const ac=go.localeSet.id;class CalendarSymbols extends XFAObject{constructor(e){super(ac,"calendarSymbols",!0);this.name="gregorian";this.dayNames=new XFAObjectArray(2);this.eraNames=null;this.meridiemNames=null;this.monthNames=new XFAObjectArray(2)}}class CurrencySymbol extends StringObject{constructor(e){super(ac,"currencySymbol");this.name=getStringOption(e.name,["symbol","isoname","decimal"])}}class CurrencySymbols extends XFAObject{constructor(e){super(ac,"currencySymbols",!0);this.currencySymbol=new XFAObjectArray(3)}}class DatePattern extends StringObject{constructor(e){super(ac,"datePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class DatePatterns extends XFAObject{constructor(e){super(ac,"datePatterns",!0);this.datePattern=new XFAObjectArray(4)}}class DateTimeSymbols extends ContentObject{constructor(e){super(ac,"dateTimeSymbols")}}class Day extends StringObject{constructor(e){super(ac,"day")}}class DayNames extends XFAObject{constructor(e){super(ac,"dayNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.day=new XFAObjectArray(7)}}class Era extends StringObject{constructor(e){super(ac,"era")}}class EraNames extends XFAObject{constructor(e){super(ac,"eraNames",!0);this.era=new XFAObjectArray(2)}}class locale_set_Locale extends XFAObject{constructor(e){super(ac,"locale",!0);this.desc=e.desc||"";this.name="isoname";this.calendarSymbols=null;this.currencySymbols=null;this.datePatterns=null;this.dateTimeSymbols=null;this.numberPatterns=null;this.numberSymbols=null;this.timePatterns=null;this.typeFaces=null}}class locale_set_LocaleSet extends XFAObject{constructor(e){super(ac,"localeSet",!0);this.locale=new XFAObjectArray}}class Meridiem extends StringObject{constructor(e){super(ac,"meridiem")}}class MeridiemNames extends XFAObject{constructor(e){super(ac,"meridiemNames",!0);this.meridiem=new XFAObjectArray(2)}}class Month extends StringObject{constructor(e){super(ac,"month")}}class MonthNames extends XFAObject{constructor(e){super(ac,"monthNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.month=new XFAObjectArray(12)}}class NumberPattern extends StringObject{constructor(e){super(ac,"numberPattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class NumberPatterns extends XFAObject{constructor(e){super(ac,"numberPatterns",!0);this.numberPattern=new XFAObjectArray(4)}}class NumberSymbol extends StringObject{constructor(e){super(ac,"numberSymbol");this.name=getStringOption(e.name,["decimal","grouping","percent","minus","zero"])}}class NumberSymbols extends XFAObject{constructor(e){super(ac,"numberSymbols",!0);this.numberSymbol=new XFAObjectArray(5)}}class TimePattern extends StringObject{constructor(e){super(ac,"timePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class TimePatterns extends XFAObject{constructor(e){super(ac,"timePatterns",!0);this.timePattern=new XFAObjectArray(4)}}class TypeFace extends XFAObject{constructor(e){super(ac,"typeFace",!0);this.name=""|e.name}}class TypeFaces extends XFAObject{constructor(e){super(ac,"typeFaces",!0);this.typeFace=new XFAObjectArray}}class LocaleSetNamespace{static[fo](e,t){if(LocaleSetNamespace.hasOwnProperty(e))return LocaleSetNamespace[e](t)}static calendarSymbols(e){return new CalendarSymbols(e)}static currencySymbol(e){return new CurrencySymbol(e)}static currencySymbols(e){return new CurrencySymbols(e)}static datePattern(e){return new DatePattern(e)}static datePatterns(e){return new DatePatterns(e)}static dateTimeSymbols(e){return new DateTimeSymbols(e)}static day(e){return new Day(e)}static dayNames(e){return new DayNames(e)}static era(e){return new Era(e)}static eraNames(e){return new EraNames(e)}static locale(e){return new locale_set_Locale(e)}static localeSet(e){return new locale_set_LocaleSet(e)}static meridiem(e){return new Meridiem(e)}static meridiemNames(e){return new MeridiemNames(e)}static month(e){return new Month(e)}static monthNames(e){return new MonthNames(e)}static numberPattern(e){return new NumberPattern(e)}static numberPatterns(e){return new NumberPatterns(e)}static numberSymbol(e){return new NumberSymbol(e)}static numberSymbols(e){return new NumberSymbols(e)}static timePattern(e){return new TimePattern(e)}static timePatterns(e){return new TimePatterns(e)}static typeFace(e){return new TypeFace(e)}static typeFaces(e){return new TypeFaces(e)}}const rc=go.signature.id;class signature_Signature extends XFAObject{constructor(e){super(rc,"signature",!0)}}class SignatureNamespace{static[fo](e,t){if(SignatureNamespace.hasOwnProperty(e))return SignatureNamespace[e](t)}static signature(e){return new signature_Signature(e)}}const ic=go.stylesheet.id;class Stylesheet extends XFAObject{constructor(e){super(ic,"stylesheet",!0)}}class StylesheetNamespace{static[fo](e,t){if(StylesheetNamespace.hasOwnProperty(e))return StylesheetNamespace[e](t)}static stylesheet(e){return new Stylesheet(e)}}const nc=go.xdp.id;class xdp_Xdp extends XFAObject{constructor(e){super(nc,"xdp",!0);this.uuid=e.uuid||"";this.timeStamp=e.timeStamp||"";this.config=null;this.connectionSet=null;this.datasets=null;this.localeSet=null;this.stylesheet=new XFAObjectArray;this.template=null}[Gs](e){const t=go[e[Ws]];return t&&e[Hs]===t.id}}class XdpNamespace{static[fo](e,t){if(XdpNamespace.hasOwnProperty(e))return XdpNamespace[e](t)}static xdp(e){return new xdp_Xdp(e)}}const sc=go.xhtml.id,oc=Symbol(),cc=new 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mapStyle(e,t,a){const r=Object.create(null);if(!e)return r;const i=Object.create(null);for(const[t,a]of e.split(";").map((e=>e.split(":",2)))){const e=lc.get(t);if(""===e)continue;let n=a;e&&(n="string"==typeof e?e:e(a,i));t.endsWith("scale")?r.transform=r.transform?`${r[t]} ${n}`:n:r[t.replaceAll(/-([a-zA-Z])/g,((e,t)=>t.toUpperCase()))]=n}r.fontFamily&&setFontFamily({typeface:r.fontFamily,weight:r.fontWeight||"normal",posture:r.fontStyle||"normal",size:i.fontSize||0},t,t[Is].fontFinder,r);if(a&&r.verticalAlign&&"0px"!==r.verticalAlign&&r.fontSize){const e=.583,t=.333,a=getMeasurement(r.fontSize);r.fontSize=measureToString(a*e);r.verticalAlign=measureToString(Math.sign(getMeasurement(r.verticalAlign))*a*t)}a&&r.fontSize&&(r.fontSize=`calc(${r.fontSize} * var(--total-scale-factor))`);fixTextIndent(r);return r}const fc=new Set(["body","html"]);class XhtmlObject extends XmlObject{constructor(e,t){super(sc,t);this[oc]=!1;this.style=e.style||""}[ts](e){super[ts](e);this.style=function checkStyle(e){return e.style?e.style.split(";").filter((e=>!!e.trim())).map((e=>e.split(":",2).map((e=>e.trim())))).filter((([t,a])=>{"font-family"===t&&e[Is].usedTypefaces.add(a);return cc.has(t)})).map((e=>e.join(":"))).join(";"):""}(this)}[Yn](){return!fc.has(this[Ws])}[Vs](e,t=!1){if(t)this[oc]=!0;else{e=e.replaceAll(uc,"");this.style.includes("xfa-spacerun:yes")||(e=e.replaceAll(hc," "))}e&&(this[ss]+=e)}[Ks](e,t=!0){const a=Object.create(null),r={top:NaN,bottom:NaN,left:NaN,right:NaN};let i=null;for(const[e,t]of this.style.split(";").map((e=>e.split(":",2))))switch(e){case"font-family":a.typeface=stripQuotes(t);break;case"font-size":a.size=getMeasurement(t);break;case"font-weight":a.weight=t;break;case"font-style":a.posture=t;break;case"letter-spacing":a.letterSpacing=getMeasurement(t);break;case"margin":const e=t.split(/ \\t/).map((e=>getMeasurement(e)));switch(e.length){case 1:r.top=r.bottom=r.left=r.right=e[0];break;case 2:r.top=r.bottom=e[0];r.left=r.right=e[1];break;case 3:r.top=e[0];r.bottom=e[2];r.left=r.right=e[1];break;case 4:r.top=e[0];r.left=e[1];r.bottom=e[2];r.right=e[3]}break;case"margin-top":r.top=getMeasurement(t);break;case"margin-bottom":r.bottom=getMeasurement(t);break;case"margin-left":r.left=getMeasurement(t);break;case"margin-right":r.right=getMeasurement(t);break;case"line-height":i=getMeasurement(t)}e.pushData(a,r,i);if(this[ss])e.addString(this[ss]);else for(const t of this[Ss]())"#text"!==t[Ws]?t[Ks](e):e.addString(t[ss]);t&&e.popFont()}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length&&!this[ss])return HTMLResult.EMPTY;let a;a=this[oc]?this[ss]?this[ss].replaceAll(dc,"\\n"):void 0:this[ss]||void 0;return HTMLResult.success({name:this[Ws],attributes:{href:this.href,style:mapStyle(this.style,this,this[oc])},children:t,value:a})}}class A extends XhtmlObject{constructor(e){super(e,"a");this.href=fixURL(e.href)||""}}class B extends XhtmlObject{constructor(e){super(e,"b")}[Ks](e){e.pushFont({weight:"bold"});super[Ks](e);e.popFont()}}class Body extends XhtmlObject{constructor(e){super(e,"body")}[co](e){const t=super[co](e),{html:a}=t;if(!a)return HTMLResult.EMPTY;a.name="div";a.attributes.class=["xfaRich"];return t}}class Br extends XhtmlObject{constructor(e){super(e,"br")}[so](){return"\\n"}[Ks](e){e.addString("\\n")}[co](e){return HTMLResult.success({name:"br"})}}class Html extends XhtmlObject{constructor(e){super(e,"html")}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length)return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},value:this[ss]||""});if(1===t.length){const e=t[0];if(e.attributes?.class.includes("xfaRich"))return HTMLResult.success(e)}return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},children:t})}}class I extends XhtmlObject{constructor(e){super(e,"i")}[Ks](e){e.pushFont({posture:"italic"});super[Ks](e);e.popFont()}}class Li extends XhtmlObject{constructor(e){super(e,"li")}}class Ol extends XhtmlObject{constructor(e){super(e,"ol")}}class P extends XhtmlObject{constructor(e){super(e,"p")}[Ks](e){super[Ks](e,!1);e.addString("\\n");e.addPara();e.popFont()}[so](){return this[vs]()[Ss]().at(-1)===this?super[so]():super[so]()+"\\n"}}class Span extends XhtmlObject{constructor(e){super(e,"span")}}class Sub extends XhtmlObject{constructor(e){super(e,"sub")}}class Sup extends XhtmlObject{constructor(e){super(e,"sup")}}class Ul extends XhtmlObject{constructor(e){super(e,"ul")}}class XhtmlNamespace{static[fo](e,t){if(XhtmlNamespace.hasOwnProperty(e))return XhtmlNamespace[e](t)}static a(e){return new A(e)}static b(e){return new B(e)}static body(e){return new Body(e)}static br(e){return new Br(e)}static html(e){return new Html(e)}static i(e){return new I(e)}static li(e){return new Li(e)}static ol(e){return new Ol(e)}static p(e){return new P(e)}static span(e){return new Span(e)}static sub(e){return new Sub(e)}static sup(e){return new Sup(e)}static ul(e){return new Ul(e)}}const gc={config:ConfigNamespace,connection:ConnectionSetNamespace,datasets:DatasetsNamespace,localeSet:LocaleSetNamespace,signature:SignatureNamespace,stylesheet:StylesheetNamespace,template:TemplateNamespace,xdp:XdpNamespace,xhtml:XhtmlNamespace};class UnknownNamespace{constructor(e){this.namespaceId=e}[fo](e,t){return new XmlObject(this.namespaceId,e,t)}}class Root extends XFAObject{constructor(e){super(-1,"root",Object.create(null));this.element=null;this[Os]=e}[$s](e){this.element=e;return!0}[hs](){super[hs]();if(this.element.template instanceof Template){this[Os].set(Qs,this.element);this.element.template[eo](this[Os]);this.element.template[Os]=this[Os]}}}class Empty extends XFAObject{constructor(){super(-1,"",Object.create(null))}[$s](e){return!1}}class Builder{constructor(e=null){this._namespaceStack=[];this._nsAgnosticLevel=0;this._namespacePrefixes=new Map;this._namespaces=new Map;this._nextNsId=Math.max(...Object.values(go).map((({id:e})=>e)));this._currentNamespace=e||new UnknownNamespace(++this._nextNsId)}buildRoot(e){return new Root(e)}build({nsPrefix:e,name:t,attributes:a,namespace:r,prefixes:i}){const n=null!==r;if(n){this._namespaceStack.push(this._currentNamespace);this._currentNamespace=this._searchNamespace(r)}i&&this._addNamespacePrefix(i);if(a.hasOwnProperty(zs)){const e=gc.datasets,t=a[zs];let r=null;for(const[a,i]of Object.entries(t)){if(this._getNamespaceToUse(a)===e){r={xfa:i};break}}r?a[zs]=r:delete a[zs]}const s=this._getNamespaceToUse(e),o=s?.[fo](t,a)||new Empty;o[Ls]()&&this._nsAgnosticLevel++;(n||i||o[Ls]())&&(o[rs]={hasNamespace:n,prefixes:i,nsAgnostic:o[Ls]()});return o}isNsAgnostic(){return this._nsAgnosticLevel>0}_searchNamespace(e){let t=this._namespaces.get(e);if(t)return t;for(const[a,{check:r}]of Object.entries(go))if(r(e)){t=gc[a];if(t){this._namespaces.set(e,t);return t}break}t=new UnknownNamespace(++this._nextNsId);this._namespaces.set(e,t);return t}_addNamespacePrefix(e){for(const{prefix:t,value:a}of e){const e=this._searchNamespace(a);let r=this._namespacePrefixes.get(t);if(!r){r=[];this._namespacePrefixes.set(t,r)}r.push(e)}}_getNamespaceToUse(e){if(!e)return this._currentNamespace;const t=this._namespacePrefixes.get(e);if(t?.length>0)return t.at(-1);warn(`Unknown namespace prefix: ${e}.`);return null}clean(e){const{hasNamespace:t,prefixes:a,nsAgnostic:r}=e;t&&(this._currentNamespace=this._namespaceStack.pop());a&&a.forEach((({prefix:e})=>{this._namespacePrefixes.get(e).pop()}));r&&this._nsAgnosticLevel--}}class XFAParser extends XMLParserBase{constructor(e=null,t=!1){super();this._builder=new Builder(e);this._stack=[];this._globalData={usedTypefaces:new Set};this._ids=new Map;this._current=this._builder.buildRoot(this._ids);this._errorCode=jn;this._whiteRegex=/^\\s+$/;this._nbsps=/\\xa0+/g;this._richText=t}parse(e){this.parseXml(e);if(this._errorCode===jn){this._current[hs]();return this._current.element}}onText(e){e=e.replace(this._nbsps,(e=>e.slice(1)+" "));this._richText||this._current[Yn]()?this._current[Vs](e,this._richText):this._whiteRegex.test(e)||this._current[Vs](e.trim())}onCdata(e){this._current[Vs](e)}_mkAttributes(e,t){let a=null,r=null;const i=Object.create({});for(const{name:n,value:s}of e)if("xmlns"===n)a?warn(`XFA - multiple namespace definition in <${t}>`):a=s;else if(n.startsWith("xmlns:")){const e=n.substring(6);r??=[];r.push({prefix:e,value:s})}else{const e=n.indexOf(":");if(-1===e)i[n]=s;else{const t=i[zs]??=Object.create(null),[a,r]=[n.slice(0,e),n.slice(e+1)];(t[a]||=Object.create(null))[r]=s}}return[a,r,i]}_getNameAndPrefix(e,t){const a=e.indexOf(":");return-1===a?[e,null]:[e.substring(a+1),t?"":e.substring(0,a)]}onBeginElement(e,t,a){const[r,i,n]=this._mkAttributes(t,e),[s,o]=this._getNameAndPrefix(e,this._builder.isNsAgnostic()),c=this._builder.build({nsPrefix:o,name:s,attributes:n,namespace:r,prefixes:i});c[Is]=this._globalData;if(a){c[hs]();this._current[$s](c)&&c[ao](this._ids);c[ts](this._builder)}else{this._stack.push(this._current);this._current=c}}onEndElement(e){const t=this._current;if(t[Bs]()&&"string"==typeof t[ss]){const e=new XFAParser;e._globalData=this._globalData;const a=e.parse(t[ss]);t[ss]=null;t[$s](a)}t[hs]();this._current=this._stack.pop();this._current[$s](t)&&t[ao](this._ids);t[ts](this._builder)}onError(e){this._errorCode=e}}class XFAFactory{constructor(e){try{this.root=(new XFAParser).parse(XFAFactory._createDocument(e));const t=new Binder(this.root);this.form=t.bind();this.dataHandler=new DataHandler(this.root,t.getData());this.form[Is].template=this.form}catch(e){warn(`XFA - an error occurred during parsing and binding: ${e}`)}}isValid(){return!(!this.root||!this.form)}_createPagesHelper(){const e=this.form[oo]();return new Promise(((t,a)=>{const nextIteration=()=>{try{const a=e.next();a.done?t(a.value):setTimeout(nextIteration,0)}catch(e){a(e)}};setTimeout(nextIteration,0)}))}async _createPages(){try{this.pages=await this._createPagesHelper();this.dims=this.pages.children.map((e=>{const{width:t,height:a}=e.attributes.style;return[0,0,parseInt(t),parseInt(a)]}))}catch(e){warn(`XFA - an error occurred during layout: ${e}`)}}getBoundingBox(e){return this.dims[e]}async getNumPages(){this.pages||await this._createPages();return this.dims.length}setImages(e){this.form[Is].images=e}setFonts(e){this.form[Is].fontFinder=new FontFinder(e);const t=[];for(let e of this.form[Is].usedTypefaces){e=stripQuotes(e);this.form[Is].fontFinder.find(e)||t.push(e)}return t.length>0?t:null}appendFonts(e,t){this.form[Is].fontFinder.add(e,t)}async getPages(){this.pages||await this._createPages();const e=this.pages;this.pages=null;return e}serializeData(e){return this.dataHandler.serialize(e)}static _createDocument(e){return e["/xdp:xdp"]?Object.values(e).join(""):e["xdp:xdp"]}static getRichTextAsHtml(e){if(!e||"string"!=typeof e)return null;try{let t=new XFAParser(XhtmlNamespace,!0).parse(e);if(!["body","xhtml"].includes(t[Ws])){const e=XhtmlNamespace.body({});e[Qn](t);t=e}const a=t[co]();if(!a.success)return null;const{html:r}=a,{attributes:i}=r;if(i){i.class&&(i.class=i.class.filter((e=>!e.startsWith("xfa"))));i.dir="auto"}return{html:r,str:t[so]()}}catch(e){warn(`XFA - an error occurred during parsing of rich text: ${e}`)}return null}}class AnnotationFactory{static createGlobals(e){return Promise.all([e.ensureCatalog("acroForm"),e.ensureDoc("xfaDatasets"),e.ensureCatalog("structTreeRoot"),e.ensureCatalog("baseUrl"),e.ensureCatalog("attachments"),e.ensureCatalog("globalColorSpaceCache")]).then((([t,a,r,i,n,s])=>({pdfManager:e,acroForm:t instanceof Dict?t:Dict.empty,xfaDatasets:a,structTreeRoot:r,baseUrl:i,attachments:n,globalColorSpaceCache:s})),(e=>{warn(`createGlobals: "${e}".`);return null}))}static async create(e,t,a,r,i,n,s){const o=i?await this._getPageIndex(e,t,a.pdfManager):null;return a.pdfManager.ensure(this,"_create",[e,t,a,r,i,n,o,s])}static _create(e,t,a,r,i=!1,n=null,s=null,o=null){const c=e.fetchIfRef(t);if(!(c instanceof Dict))return;const{acroForm:l,pdfManager:h}=a,u=t instanceof Ref?t.toString():`annot_${r.createObjId()}`;let d=c.get("Subtype");d=d instanceof Name?d.name:null;const f={xref:e,ref:t,dict:c,subtype:d,id:u,annotationGlobals:a,collectFields:i,orphanFields:n,needAppearances:!i&&!0===l.get("NeedAppearances"),pageIndex:s,evaluatorOptions:h.evaluatorOptions,pageRef:o};switch(d){case"Link":return new LinkAnnotation(f);case"Text":return new TextAnnotation(f);case"Widget":let e=getInheritableProperty({dict:c,key:"FT"});e=e instanceof Name?e.name:null;switch(e){case"Tx":return new TextWidgetAnnotation(f);case"Btn":return new ButtonWidgetAnnotation(f);case"Ch":return new ChoiceWidgetAnnotation(f);case"Sig":return new SignatureWidgetAnnotation(f)}warn(`Unimplemented widget field type "${e}", falling back to base field type.`);return new WidgetAnnotation(f);case"Popup":return new PopupAnnotation(f);case"FreeText":return new FreeTextAnnotation(f);case"Line":return new LineAnnotation(f);case"Square":return new SquareAnnotation(f);case"Circle":return new CircleAnnotation(f);case"PolyLine":return new PolylineAnnotation(f);case"Polygon":return new PolygonAnnotation(f);case"Caret":return new CaretAnnotation(f);case"Ink":return new InkAnnotation(f);case"Highlight":return new HighlightAnnotation(f);case"Underline":return new UnderlineAnnotation(f);case"Squiggly":return new SquigglyAnnotation(f);case"StrikeOut":return new StrikeOutAnnotation(f);case"Stamp":return new StampAnnotation(f);case"FileAttachment":return new FileAttachmentAnnotation(f);default:i||warn(d?`Unimplemented annotation type "${d}", falling back to base annotation.`:"Annotation is missing the required /Subtype.");return new Annotation(f)}}static async _getPageIndex(e,t,a){try{const r=await e.fetchIfRefAsync(t);if(!(r instanceof Dict))return-1;const i=r.getRaw("P");if(i instanceof Ref)try{return await a.ensureCatalog("getPageIndex",[i])}catch(e){info(`_getPageIndex -- not a valid page reference: "${e}".`)}if(r.has("Kids"))return-1;const n=await a.ensureDoc("numPages");for(let e=0;e<n;e++){const r=await a.getPage(e),i=await a.ensure(r,"annotations");for(const a of i)if(a instanceof Ref&&isRefsEqual(a,t))return e}}catch(e){warn(`_getPageIndex: "${e}".`)}return-1}static generateImages(e,t,a){if(!a){warn("generateImages: OffscreenCanvas is not supported, cannot save or print some annotations with images.");return null}let r;for(const{bitmapId:a,bitmap:i}of e)if(i){r||=new Map;r.set(a,StampAnnotation.createImage(i,t))}return r}static async saveNewAnnotations(e,t,a,r,i){const n=e.xref;let s;const o=[],{isOffscreenCanvasSupported:c}=e.options;for(const l of a)if(!l.deleted)switch(l.annotationType){case g:if(!s){const e=new Dict(n);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");s=n.getNewTemporaryRef();i.put(s,{data:e})}o.push(FreeTextAnnotation.createNewAnnotation(n,l,i,{evaluator:e,task:t,baseFontRef:s}));break;case p:l.quadPoints?o.push(HighlightAnnotation.createNewAnnotation(n,l,i)):o.push(InkAnnotation.createNewAnnotation(n,l,i));break;case b:o.push(InkAnnotation.createNewAnnotation(n,l,i));break;case m:const a=c?await(r?.get(l.bitmapId)):null;if(a?.imageStream){const{imageStream:e,smaskStream:t}=a;if(t){const a=n.getNewTemporaryRef();i.put(a,{data:t});e.dict.set("SMask",a)}const r=a.imageRef=n.getNewTemporaryRef();i.put(r,{data:e});a.imageStream=a.smaskStream=null}o.push(StampAnnotation.createNewAnnotation(n,l,i,{image:a}));break;case y:o.push(StampAnnotation.createNewAnnotation(n,l,i,{}))}return{annotations:(await Promise.all(o)).flat()}}static async printNewAnnotations(e,t,a,r,i){if(!r)return null;const{options:n,xref:s}=t,o=[];for(const c of r)if(!c.deleted)switch(c.annotationType){case g:o.push(FreeTextAnnotation.createNewPrintAnnotation(e,s,c,{evaluator:t,task:a,evaluatorOptions:n}));break;case p:c.quadPoints?o.push(HighlightAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n})):o.push(InkAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case b:o.push(InkAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case m:const r=n.isOffscreenCanvasSupported?await(i?.get(c.bitmapId)):null;if(r?.imageStream){const{imageStream:e,smaskStream:t}=r;t&&e.dict.set("SMask",t);r.imageRef=new JpegStream(e,e.length);r.imageStream=r.smaskStream=null}o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{image:r,evaluatorOptions:n}));break;case y:o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}))}return Promise.all(o)}}function getRgbColor(e,t=new Uint8ClampedArray(3)){if(!Array.isArray(e))return t;const a=t||new Uint8ClampedArray(3);switch(e.length){case 0:return null;case 1:ColorSpaceUtils.gray.getRgbItem(e,0,a,0);return a;case 3:ColorSpaceUtils.rgb.getRgbItem(e,0,a,0);return a;case 4:ColorSpaceUtils.cmyk.getRgbItem(e,0,a,0);return a;default:return t}}function getPdfColorArray(e,t=null){return e&&Array.from(e,(e=>e/255))||t}function getQuadPoints(e,t){const a=e.getArray("QuadPoints");if(!isNumberArray(a,null)||0===a.length||a.length%8>0)return null;const r=new Float32Array(a.length);for(let e=0,i=a.length;e<i;e+=8){const[i,n,s,o,c,l,h,u]=a.slice(e,e+8),d=Math.min(i,s,c,h),f=Math.max(i,s,c,h),g=Math.min(n,o,l,u),p=Math.max(n,o,l,u);if(null!==t&&(d<t[0]||f>t[2]||g<t[1]||p>t[3]))return null;r.set([d,p,f,p,d,g,f,g],e)}return r}function getTransformMatrix(e,t,a){const r=new Float32Array([1/0,1/0,-1/0,-1/0]);Util.axialAlignedBoundingBox(t,a,r);const[i,n,s,o]=r;if(i===s||n===o)return[1,0,0,1,e[0],e[1]];const c=(e[2]-e[0])/(s-i),l=(e[3]-e[1])/(o-n);return[c,0,0,l,e[0]-i*c,e[1]-n*l]}class Annotation{constructor(e){const{dict:t,xref:a,annotationGlobals:r,ref:i,orphanFields:n}=e,s=n?.get(i);s&&t.set("Parent",s);this.setTitle(t.get("T"));this.setContents(t.get("Contents"));this.setModificationDate(t.get("M"));this.setFlags(t.get("F"));this.setRectangle(t.getArray("Rect"));this.setColor(t.getArray("C"));this.setBorderStyle(t);this.setAppearance(t);this.setOptionalContent(t);const o=t.get("MK");this.setBorderAndBackgroundColors(o);this.setRotation(o,t);this.ref=e.ref instanceof Ref?e.ref:null;this._streams=[];this.appearance&&this._streams.push(this.appearance);const c=!!(this.flags&ee),l=!!(this.flags&te);this.data={annotationFlags:this.flags,borderStyle:this.borderStyle,color:this.color,backgroundColor:this.backgroundColor,borderColor:this.borderColor,rotation:this.rotation,contentsObj:this._contents,hasAppearance:!!this.appearance,id:e.id,modificationDate:this.modificationDate,rect:this.rectangle,subtype:e.subtype,hasOwnCanvas:!1,noRotate:!!(this.flags&Z),noHTML:c&&l,isEditable:!1,structParent:-1};if(r.structTreeRoot){let a=t.get("StructParent");this.data.structParent=a=Number.isInteger(a)&&a>=0?a:-1;r.structTreeRoot.addAnnotationIdToPage(e.pageRef,a)}if(e.collectFields){const r=t.get("Kids");if(Array.isArray(r)){const e=[];for(const t of r)t instanceof Ref&&e.push(t.toString());0!==e.length&&(this.data.kidIds=e)}this.data.actions=collectActions(a,t,ye);this.data.fieldName=this._constructFieldName(t);this.data.pageIndex=e.pageIndex}const h=t.get("IT");h instanceof Name&&(this.data.it=h.name);this._isOffscreenCanvasSupported=e.evaluatorOptions.isOffscreenCanvasSupported;this._fallbackFontDict=null;this._needAppearances=!1}_hasFlag(e,t){return!!(e&t)}_buildFlags(e,t){let{flags:a}=this;if(void 0===e){if(void 0===t)return;return t?a&~Y:a&~J|Y}if(e){a|=Y;return t?a&~Q|J:a&~J|Q}a&=~(J|Q);return t?a&~Y:a|Y}_isViewable(e){return!this._hasFlag(e,K)&&!this._hasFlag(e,Q)}_isPrintable(e){return this._hasFlag(e,Y)&&!this._hasFlag(e,J)&&!this._hasFlag(e,K)}mustBeViewed(e,t){const a=e?.get(this.data.id)?.noView;return void 0!==a?!a:this.viewable&&!this._hasFlag(this.flags,J)}mustBePrinted(e){const t=e?.get(this.data.id)?.noPrint;return void 0!==t?!t:this.printable}mustBeViewedWhenEditing(e,t=null){return e?!this.data.isEditable:!t?.has(this.data.id)}get viewable(){return null!==this.data.quadPoints&&(0===this.flags||this._isViewable(this.flags))}get printable(){return null!==this.data.quadPoints&&(0!==this.flags&&this._isPrintable(this.flags))}_parseStringHelper(e){const t="string"==typeof e?stringToPDFString(e):"";return{str:t,dir:t&&"rtl"===bidi(t).dir?"rtl":"ltr"}}setDefaultAppearance(e){const{dict:t,annotationGlobals:a}=e,r=getInheritableProperty({dict:t,key:"DA"})||a.acroForm.get("DA");this._defaultAppearance="string"==typeof r?r:"";this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance)}setTitle(e){this._title=this._parseStringHelper(e)}setContents(e){this._contents=this._parseStringHelper(e)}setModificationDate(e){this.modificationDate="string"==typeof e?e:null}setFlags(e){this.flags=Number.isInteger(e)&&e>0?e:0;this.flags&K&&"Annotation"!==this.constructor.name&&(this.flags^=K)}hasFlag(e){return this._hasFlag(this.flags,e)}setRectangle(e){this.rectangle=lookupNormalRect(e,[0,0,0,0])}setColor(e){this.color=getRgbColor(e)}setLineEndings(e){this.lineEndings=["None","None"];if(Array.isArray(e)&&2===e.length)for(let t=0;t<2;t++){const a=e[t];if(a instanceof Name)switch(a.name){case"None":continue;case"Square":case"Circle":case"Diamond":case"OpenArrow":case"ClosedArrow":case"Butt":case"ROpenArrow":case"RClosedArrow":case"Slash":this.lineEndings[t]=a.name;continue}warn(`Ignoring invalid lineEnding: ${a}`)}}setRotation(e,t){this.rotation=0;let a=e instanceof Dict?e.get("R")||0:t.get("Rotate")||0;if(Number.isInteger(a)&&0!==a){a%=360;a<0&&(a+=360);a%90==0&&(this.rotation=a)}}setBorderAndBackgroundColors(e){if(e instanceof Dict){this.borderColor=getRgbColor(e.getArray("BC"),null);this.backgroundColor=getRgbColor(e.getArray("BG"),null)}else this.borderColor=this.backgroundColor=null}setBorderStyle(e){this.borderStyle=new AnnotationBorderStyle;if(e instanceof Dict)if(e.has("BS")){const t=e.get("BS");if(t instanceof Dict){const e=t.get("Type");if(!e||isName(e,"Border")){this.borderStyle.setWidth(t.get("W"),this.rectangle);this.borderStyle.setStyle(t.get("S"));this.borderStyle.setDashArray(t.getArray("D"))}}}else if(e.has("Border")){const t=e.getArray("Border");if(Array.isArray(t)&&t.length>=3){this.borderStyle.setHorizontalCornerRadius(t[0]);this.borderStyle.setVerticalCornerRadius(t[1]);this.borderStyle.setWidth(t[2],this.rectangle);4===t.length&&this.borderStyle.setDashArray(t[3],!0)}}else this.borderStyle.setWidth(0)}setAppearance(e){this.appearance=null;const t=e.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(a instanceof BaseStream){this.appearance=a;return}if(!(a instanceof Dict))return;const r=e.get("AS");if(!(r instanceof Name&&a.has(r.name)))return;const i=a.get(r.name);i instanceof BaseStream&&(this.appearance=i)}setOptionalContent(e){this.oc=null;const t=e.get("OC");t instanceof Name?warn("setOptionalContent: Support for /Name-entry is not implemented."):t instanceof Dict&&(this.oc=t)}async loadResources(e,t){const a=await t.dict.getAsync("Resources");a&&await ObjectLoader.load(a,e,a.xref);return a}async getOperatorList(e,t,a,r){const{hasOwnCanvas:i,id:n,rect:o}=this.data;let c=this.appearance;const l=!!(i&&a&s);if(l&&(0===this.width||0===this.height)){this.data.hasOwnCanvas=!1;return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}if(!c){if(!l)return{opList:new OperatorList,separateForm:!1,separateCanvas:!1};c=new StringStream("");c.dict=new Dict}const h=c.dict,u=await this.loadResources(Ia,c),d=lookupRect(h.getArray("BBox"),[0,0,1,1]),f=lookupMatrix(h.getArray("Matrix"),Fa),g=getTransformMatrix(o,d,f),p=new OperatorList;let m;this.oc&&(m=await e.parseMarkedContentProps(this.oc,null));void 0!==m&&p.addOp(jt,["OC",m]);p.addOp($t,[n,o,g,f,l]);await e.getOperatorList({stream:c,task:t,resources:u,operatorList:p,fallbackFontDict:this._fallbackFontDict});p.addOp(Gt,[]);void 0!==m&&p.addOp(_t,[]);this.reset();return{opList:p,separateForm:!1,separateCanvas:l}}async save(e,t,a,r){return null}get overlaysTextContent(){return!1}get hasTextContent(){return!1}async extractTextContent(e,t,a){if(!this.appearance)return;const r=await this.loadResources(Ta,this.appearance),i=[],n=[];let s=null;const o={desiredSize:Math.Infinity,ready:!0,enqueue(e,t){for(const t of e.items)if(void 0!==t.str){s||=t.transform.slice(-2);n.push(t.str);if(t.hasEOL){i.push(n.join("").trimEnd());n.length=0}}}};await e.getTextContent({stream:this.appearance,task:t,resources:r,includeMarkedContent:!0,keepWhiteSpace:!0,sink:o,viewBox:a});this.reset();n.length&&i.push(n.join("").trimEnd());if(i.length>1||i[0]){const e=this.appearance.dict,t=lookupRect(e.getArray("BBox"),null),a=lookupMatrix(e.getArray("Matrix"),null);this.data.textPosition=this._transformPoint(s,t,a);this.data.textContent=i}}_transformPoint(e,t,a){const{rect:r}=this.data;t||=[0,0,1,1];a||=[1,0,0,1,0,0];const i=getTransformMatrix(r,t,a);i[4]-=r[0];i[5]-=r[1];const n=e.slice();Util.applyTransform(n,i);Util.applyTransform(n,a);return n}getFieldObject(){return this.data.kidIds?{id:this.data.id,actions:this.data.actions,name:this.data.fieldName,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,type:"",kidIds:this.data.kidIds,page:this.data.pageIndex,rotation:this.rotation}:null}reset(){for(const e of this._streams)e.reset()}_constructFieldName(e){if(!e.has("T")&&!e.has("Parent")){warn("Unknown field name, falling back to empty field name.");return""}if(!e.has("Parent"))return stringToPDFString(e.get("T"));const t=[];e.has("T")&&t.unshift(stringToPDFString(e.get("T")));let a=e;const r=new RefSet;e.objId&&r.put(e.objId);for(;a.has("Parent");){a=a.get("Parent");if(!(a instanceof Dict)||a.objId&&r.has(a.objId))break;a.objId&&r.put(a.objId);a.has("T")&&t.unshift(stringToPDFString(a.get("T")))}return t.join(".")}get width(){return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class AnnotationBorderStyle{constructor(){this.width=1;this.rawWidth=1;this.style=fe;this.dashArray=[3];this.horizontalCornerRadius=0;this.verticalCornerRadius=0}setWidth(e,t=[0,0,0,0]){if(e instanceof Name)this.width=0;else if("number"==typeof e){if(e>0){this.rawWidth=e;const a=(t[2]-t[0])/2,r=(t[3]-t[1])/2;if(a>0&&r>0&&(e>a||e>r)){warn(`AnnotationBorderStyle.setWidth - ignoring width: ${e}`);e=1}}this.width=e}}setStyle(e){if(e instanceof Name)switch(e.name){case"S":this.style=fe;break;case"D":this.style=ge;break;case"B":this.style=pe;break;case"I":this.style=me;break;case"U":this.style=be}}setDashArray(e,t=!1){if(Array.isArray(e)){let a=!0,r=!0;for(const t of e){if(!(+t>=0)){a=!1;break}t>0&&(r=!1)}if(0===e.length||a&&!r){this.dashArray=e;t&&this.setStyle(Name.get("D"))}else this.width=0}else e&&(this.width=0)}setHorizontalCornerRadius(e){Number.isInteger(e)&&(this.horizontalCornerRadius=e)}setVerticalCornerRadius(e){Number.isInteger(e)&&(this.verticalCornerRadius=e)}}class MarkupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;if(t.has("IRT")){const e=t.getRaw("IRT");this.data.inReplyTo=e instanceof Ref?e.toString():null;const a=t.get("RT");this.data.replyType=a instanceof Name?a.name:V}let a=null;if(this.data.replyType===G){const e=t.get("IRT");this.setTitle(e.get("T"));this.data.titleObj=this._title;this.setContents(e.get("Contents"));this.data.contentsObj=this._contents;if(e.has("CreationDate")){this.setCreationDate(e.get("CreationDate"));this.data.creationDate=this.creationDate}else this.data.creationDate=null;if(e.has("M")){this.setModificationDate(e.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;a=e.getRaw("Popup");if(e.has("C")){this.setColor(e.getArray("C"));this.data.color=this.color}else this.data.color=null}else{this.data.titleObj=this._title;this.setCreationDate(t.get("CreationDate"));this.data.creationDate=this.creationDate;a=t.getRaw("Popup");t.has("C")||(this.data.color=null)}this.data.popupRef=a instanceof Ref?a.toString():null;t.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(t.get("RC")))}setCreationDate(e){this.creationDate="string"==typeof e?e:null}_setDefaultAppearance({xref:e,extra:t,strokeColor:a,fillColor:r,blendMode:i,strokeAlpha:n,fillAlpha:s,pointsCallback:o}){const c=this.data.rect=[1/0,1/0,-1/0,-1/0],l=["q"];t&&l.push(t);a&&l.push(`${a[0]} ${a[1]} ${a[2]} RG`);r&&l.push(`${r[0]} ${r[1]} ${r[2]} rg`);const h=this.data.quadPoints||Float32Array.from([this.rectangle[0],this.rectangle[3],this.rectangle[2],this.rectangle[3],this.rectangle[0],this.rectangle[1],this.rectangle[2],this.rectangle[1]]);for(let e=0,t=h.length;e<t;e+=8){const t=o(l,h.subarray(e,e+8));Util.rectBoundingBox(...t,c)}l.push("Q");const u=new Dict(e),d=new Dict(e);d.setIfName("Subtype","Form");const f=new StringStream(l.join(" "));f.dict=d;u.set("Fm0",f);const g=new Dict(e);i&&g.setIfName("BM",i);g.setIfNumber("CA",n);g.setIfNumber("ca",s);const p=new Dict(e);p.set("GS0",g);const m=new Dict(e);m.set("ExtGState",p);m.set("XObject",u);const b=new Dict(e);b.set("Resources",m);b.set("BBox",c);this.appearance=new StringStream("/GS0 gs /Fm0 Do");this.appearance.dict=b;this._streams.push(this.appearance,f)}static async createNewAnnotation(e,t,a,r){const i=t.ref||=e.getNewTemporaryRef(),n=await this.createNewAppearanceStream(t,e,r);let s;if(n){const r=e.getNewTemporaryRef();s=this.createNewDict(t,e,{apRef:r});a.put(r,{data:n})}else s=this.createNewDict(t,e,{});Number.isInteger(t.parentTreeId)&&s.set("StructParent",t.parentTreeId);a.put(i,{data:s});const o={ref:i};if(t.popup){const r=t.popup;if(r.deleted){s.delete("Popup");s.delete("Contents");s.delete("RC");return o}const n=r.ref||=e.getNewTemporaryRef();r.parent=i;const c=PopupAnnotation.createNewDict(r,e);a.put(n,{data:c});s.setIfDefined("Contents",stringToAsciiOrUTF16BE(r.contents));s.set("Popup",n);return[o,{ref:n}]}return o}static async createNewPrintAnnotation(e,t,a,r){const i=await this.createNewAppearanceStream(a,t,r),n=this.createNewDict(a,t,i?{ap:i}:{}),s=new this.prototype.constructor({dict:n,xref:t,annotationGlobals:e,evaluatorOptions:r.evaluatorOptions});a.ref&&(s.ref=s.refToReplace=a.ref);return s}}class WidgetAnnotation extends Annotation{constructor(e){super(e);const{dict:t,xref:a,annotationGlobals:r}=e,i=this.data;this._needAppearances=e.needAppearances;i.annotationType=$;void 0===i.fieldName&&(i.fieldName=this._constructFieldName(t));void 0===i.actions&&(i.actions=collectActions(a,t,ye));let n=getInheritableProperty({dict:t,key:"V",getArray:!0});i.fieldValue=this._decodeFormValue(n);const s=getInheritableProperty({dict:t,key:"DV",getArray:!0});i.defaultFieldValue=this._decodeFormValue(s);if(void 0===n&&r.xfaDatasets){const e=this._title.str;if(e){this._hasValueFromXFA=!0;i.fieldValue=n=r.xfaDatasets.getValue(e)}}void 0===n&&null!==i.defaultFieldValue&&(i.fieldValue=i.defaultFieldValue);i.alternativeText=stringToPDFString(t.get("TU")||"");this.setDefaultAppearance(e);i.hasAppearance||=this._needAppearances&&void 0!==i.fieldValue&&null!==i.fieldValue;const o=getInheritableProperty({dict:t,key:"FT"});i.fieldType=o instanceof Name?o.name:null;const c=getInheritableProperty({dict:t,key:"DR"}),l=r.acroForm.get("DR"),h=this.appearance?.dict.get("Resources");this._fieldResources={localResources:c,acroFormResources:l,appearanceResources:h,mergedResources:Dict.merge({xref:a,dictArray:[c,h,l],mergeSubDicts:!0})};i.fieldFlags=getInheritableProperty({dict:t,key:"Ff"});(!Number.isInteger(i.fieldFlags)||i.fieldFlags<0)&&(i.fieldFlags=0);i.password=this.hasFieldFlag(ne);i.readOnly=this.hasFieldFlag(ae);i.required=this.hasFieldFlag(re);i.hidden=this._hasFlag(i.annotationFlags,J)||this._hasFlag(i.annotationFlags,Q)}_decodeFormValue(e){return Array.isArray(e)?e.filter((e=>"string"==typeof e)).map((e=>stringToPDFString(e))):e instanceof Name?stringToPDFString(e.name):"string"==typeof e?stringToPDFString(e):null}hasFieldFlag(e){return!!(this.data.fieldFlags&e)}_isViewable(e){return!0}mustBeViewed(e,t){return t?this.viewable:super.mustBeViewed(e,t)&&!this._hasFlag(this.flags,Q)}getRotationMatrix(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);return 0===t?Fa:getRotationMatrix(t,this.width,this.height)}getBorderAndBackgroundAppearances(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);if(!this.backgroundColor&&!this.borderColor)return"";const a=0===t||180===t?`0 0 ${this.width} ${this.height} re`:`0 0 ${this.height} ${this.width} re`;let r="";this.backgroundColor&&(r=`${getPdfColor(this.backgroundColor,!0)} ${a} f `);if(this.borderColor){r+=`${this.borderStyle.width||1} w ${getPdfColor(this.borderColor,!1)} ${a} S `}return r}async getOperatorList(e,t,a,r){if(a&l&&!(this instanceof SignatureWidgetAnnotation)&&!this.data.noHTML&&!this.data.hasOwnCanvas)return{opList:new OperatorList,separateForm:!0,separateCanvas:!1};if(!this._hasText)return super.getOperatorList(e,t,a,r);const i=await this._getAppearance(e,t,a,r);if(this.appearance&&null===i)return super.getOperatorList(e,t,a,r);const n=new OperatorList;if(!this._defaultAppearance||null===i)return{opList:n,separateForm:!1,separateCanvas:!1};const o=!!(this.data.hasOwnCanvas&&a&s),c=[0,0,this.width,this.height],h=getTransformMatrix(this.data.rect,c,[1,0,0,1,0,0]);let u;this.oc&&(u=await e.parseMarkedContentProps(this.oc,null));void 0!==u&&n.addOp(jt,["OC",u]);n.addOp($t,[this.data.id,this.data.rect,h,this.getRotationMatrix(r),o]);const d=new StringStream(i);await e.getOperatorList({stream:d,task:t,resources:this._fieldResources.mergedResources,operatorList:n});n.addOp(Gt,[]);void 0!==u&&n.addOp(_t,[]);return{opList:n,separateForm:!1,separateCanvas:o}}_getMKDict(e){const t=new Dict(null);e&&t.set("R",e);t.setIfArray("BC",getPdfColorArray(this.borderColor));t.setIfArray("BG",getPdfColorArray(this.backgroundColor));return t.size>0?t:null}amendSavedDict(e,t){}setValue(e,t,a,r){const{dict:i,ref:n}=function getParentToUpdate(e,t,a){const r=new RefSet,i=e,n={dict:null,ref:null};for(;e instanceof Dict&&!r.has(t);){r.put(t);if(e.has("T"))break;if(!((t=e.getRaw("Parent"))instanceof Ref))return n;e=a.fetch(t)}if(e instanceof Dict&&e!==i){n.dict=e;n.ref=t}return n}(e,this.ref,a);if(i){if(!r.has(n)){const e=i.clone();e.set("V",t);r.put(n,{data:e});return e}}else e.set("V",t);return null}async save(e,t,a,r){const i=a?.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.value,o=i?.rotation;if(s===this.data.fieldValue||void 0===s){if(!this._hasValueFromXFA&&void 0===o&&void 0===n)return;s||=this.data.fieldValue}if(void 0===o&&!this._hasValueFromXFA&&Array.isArray(s)&&Array.isArray(this.data.fieldValue)&&isArrayEqual(s,this.data.fieldValue)&&void 0===n)return;void 0===o&&(o=this.rotation);let l=null;if(!this._needAppearances){l=await this._getAppearance(e,t,c,a);if(null===l&&void 0===n)return}let h=!1;if(l?.needAppearances){h=!0;l=null}const{xref:u}=e,d=u.fetchIfRef(this.ref);if(!(d instanceof Dict))return;const f=new Dict(u);for(const e of d.getKeys())"AP"!==e&&f.set(e,d.getRaw(e));if(void 0!==n){f.set("F",n);if(null===l&&!h){const e=d.getRaw("AP");e&&f.set("AP",e)}}const g={path:this.data.fieldName,value:s},p=this.setValue(f,Array.isArray(s)?s.map(stringToAsciiOrUTF16BE):stringToAsciiOrUTF16BE(s),u,r);this.amendSavedDict(a,p||f);const m=this._getMKDict(o);m&&f.set("MK",m);r.put(this.ref,{data:f,xfa:g,needAppearances:h});if(null!==l){const e=u.getNewTemporaryRef(),t=new Dict(u);f.set("AP",t);t.set("N",e);const i=this._getSaveFieldResources(u),n=new StringStream(l),s=n.dict=new Dict(u);s.setIfName("Subtype","Form");s.set("Resources",i);const c=o%180==0?[0,0,this.width,this.height]:[0,0,this.height,this.width];s.set("BBox",c);const h=this.getRotationMatrix(a);h!==Fa&&s.set("Matrix",h);r.put(e,{data:n,xfa:null,needAppearances:!1})}f.set("M",`D:${getModificationDate()}`)}async _getAppearance(e,t,a,r){if(this.data.password)return null;const n=r?.get(this.data.id);let s,o;if(n){s=n.formattedValue||n.value;o=n.rotation}if(void 0===o&&void 0===s&&!this._needAppearances&&(!this._hasValueFromXFA||this.appearance))return null;const l=this.getBorderAndBackgroundAppearances(r);if(void 0===s){s=this.data.fieldValue;if(!s)return`/Tx BMC q ${l}Q EMC`}Array.isArray(s)&&1===s.length&&(s=s[0]);assert("string"==typeof s,"Expected `value` to be a string.");s=s.trimEnd();if(this.data.combo){const e=this.data.options.find((({exportValue:e})=>s===e));s=e?.displayValue||s}if(""===s)return`/Tx BMC q ${l}Q EMC`;void 0===o&&(o=this.rotation);let h,u=-1;if(this.data.multiLine){h=s.split(/\\r\\n?|\\n/).map((e=>e.normalize("NFC")));u=h.length}else h=[s.replace(/\\r\\n?|\\n/,"").normalize("NFC")];let{width:d,height:f}=this;90!==o&&270!==o||([d,f]=[f,d]);this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));let g,p,m,b=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);const y=[];let w=!1;for(const e of h){const t=b.encodeString(e);t.length>1&&(w=!0);y.push(t.join(""))}if(w&&a&c)return{needAppearances:!0};if(w&&this._isOffscreenCanvasSupported){const a=this.data.comb?"monospace":"sans-serif",r=new FakeUnicodeFont(e.xref,a),i=r.createFontResources(h.join("")),n=i.getRaw("Font");if(this._fieldResources.mergedResources.has("Font")){const e=this._fieldResources.mergedResources.get("Font");for(const t of n.getKeys())e.set(t,n.getRaw(t))}else this._fieldResources.mergedResources.set("Font",n);const o=r.fontName.name;b=await WidgetAnnotation._getFontData(e,t,{fontName:o,fontSize:0},i);for(let e=0,t=y.length;e<t;e++)y[e]=stringToUTF16String(h[e]);const c=Object.assign(Object.create(null),this.data.defaultAppearanceData);this.data.defaultAppearanceData.fontSize=0;this.data.defaultAppearanceData.fontName=o;[g,p,m]=this._computeFontSize(f-2,d-4,s,b,u);this.data.defaultAppearanceData=c}else{this._isOffscreenCanvasSupported||warn("_getAppearance: OffscreenCanvas is not supported, annotation may not render correctly.");[g,p,m]=this._computeFontSize(f-2,d-4,s,b,u)}let x=b.descent;x=isNaN(x)?i*m:Math.max(i*m,Math.abs(x)*p);const S=Math.min(Math.floor((f-p)/2),1),k=this.data.textAlignment;if(this.data.multiLine)return this._getMultilineAppearance(g,y,b,p,d,f,k,2,S,x,m,r);if(this.data.comb)return this._getCombAppearance(g,b,y[0],p,d,f,2,S,x,m,r);const C=S+x;if(0===k||k>2)return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 ${numberToString(2)} ${numberToString(C)} Tm (${escapeString(y[0])}) Tj ET Q EMC`;return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 0 0 Tm ${this._renderText(y[0],b,p,d,k,{shift:0},2,C)} ET Q EMC`}static async _getFontData(e,t,a,r){const i=new OperatorList,n={font:null,clone(){return this}},{fontName:s,fontSize:o}=a;await e.handleSetFont(r,[s&&Name.get(s),o],null,i,t,n,null);return n.font}_getTextWidth(e,t){return Math.sumPrecise(t.charsToGlyphs(e).map((e=>e.width)))/1e3}_computeFontSize(e,t,r,i,n){let{fontSize:s}=this.data.defaultAppearanceData,o=(s||12)*a,c=Math.round(e/o);if(!s){const roundWithTwoDigits=e=>Math.floor(100*e)/100;if(-1===n){const n=this._getTextWidth(r,i);s=roundWithTwoDigits(Math.min(e/a,t/n));c=1}else{const l=r.split(/\\r\\n?|\\n/),h=[];for(const e of l){const t=i.encodeString(e).join(""),a=i.charsToGlyphs(t),r=i.getCharPositions(t);h.push({line:t,glyphs:a,positions:r})}const isTooBig=a=>{let r=0;for(const n of h){r+=this._splitLine(null,i,a,t,n).length*a;if(r>e)return!0}return!1};c=Math.max(c,n);for(;;){o=e/c;s=roundWithTwoDigits(o/a);if(!isTooBig(s))break;c++}}const{fontName:l,fontColor:h}=this.data.defaultAppearanceData;this._defaultAppearance=function createDefaultAppearance({fontSize:e,fontName:t,fontColor:a}){return`/${escapePDFName(t)} ${e} Tf ${getPdfColor(a,!0)}`}({fontSize:s,fontName:l,fontColor:h})}return[this._defaultAppearance,s,e/c]}_renderText(e,t,a,r,i,n,s,o){let c;if(1===i){c=(r-this._getTextWidth(e,t)*a)/2}else if(2===i){c=r-this._getTextWidth(e,t)*a-s}else c=s;const l=numberToString(c-n.shift);n.shift=c;return`${l} ${o=numberToString(o)} Td (${escapeString(e)}) Tj`}_getSaveFieldResources(e){const{localResources:t,appearanceResources:a,acroFormResources:r}=this._fieldResources,i=this.data.defaultAppearanceData?.fontName;if(!i)return t||Dict.empty;for(const e of[t,a])if(e instanceof Dict){const t=e.get("Font");if(t instanceof Dict&&t.has(i))return e}if(r instanceof Dict){const a=r.get("Font");if(a instanceof Dict&&a.has(i)){const r=new Dict(e);r.set(i,a.getRaw(i));const n=new Dict(e);n.set("Font",r);return Dict.merge({xref:e,dictArray:[n,t],mergeSubDicts:!0})}}return t||Dict.empty}getFieldObject(){return null}}class TextWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t}=e;if(t.has("PMD")){this.flags|=J;this.data.hidden=!0;warn("Barcodes are not supported")}this.data.hasOwnCanvas=this.data.readOnly&&!this.data.noHTML;this._hasText=!0;"string"!=typeof this.data.fieldValue&&(this.data.fieldValue="");let a=getInheritableProperty({dict:t,key:"Q"});(!Number.isInteger(a)||a<0||a>2)&&(a=null);this.data.textAlignment=a;let r=getInheritableProperty({dict:t,key:"MaxLen"});(!Number.isInteger(r)||r<0)&&(r=0);this.data.maxLen=r;this.data.multiLine=this.hasFieldFlag(ie);this.data.comb=this.hasFieldFlag(de)&&!this.data.multiLine&&!this.data.password&&!this.hasFieldFlag(le)&&0!==this.data.maxLen;this.data.doNotScroll=this.hasFieldFlag(ue);const{data:{actions:i}}=this;if(!i)return;const n=/^AF(Date|Time)_(?:Keystroke|Format)(?:Ex)?\\([\'"]?([^\'"]+)[\'"]?\\);$/;let s=!1;(1===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Format[0])&&n.test(i.Keystroke[0])||0===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Keystroke[0])||0===i.Keystroke?.length&&1===i.Format?.length&&n.test(i.Format[0]))&&(s=!0);const o=[];i.Format&&o.push(...i.Format);i.Keystroke&&o.push(...i.Keystroke);if(s){delete i.Keystroke;i.Format=o}for(const e of o){const t=e.match(n);if(!t)continue;const a="Date"===t[1];let r=t[2];const i=parseInt(r,10);isNaN(i)||Math.floor(Math.log10(i))+1!==t[2].length||(r=(a?Pn:Ln)[i]??r);this.data.datetimeFormat=r;if(!s)break;if(a){if(/HH|MM|ss|h/.test(r)){this.data.datetimeType="datetime-local";this.data.timeStep=/ss/.test(r)?1:60}else this.data.datetimeType="date";break}this.data.datetimeType="time";this.data.timeStep=/ss/.test(r)?1:60;break}}get hasTextContent(){return!!this.appearance&&!this._needAppearances}_getCombAppearance(e,t,a,r,i,n,s,o,c,l,h){const u=i/this.data.maxLen,d=this.getBorderAndBackgroundAppearances(h),f=[],g=t.getCharPositions(a);for(const[e,t]of g)f.push(`(${escapeString(a.substring(e,t))}) Tj`);const p=f.join(` ${numberToString(u)} 0 Td `);return`/Tx BMC q ${d}BT `+e+` 1 0 0 1 ${numberToString(s)} ${numberToString(o+c)} Tm ${p} ET Q EMC`}_getMultilineAppearance(e,t,a,r,i,n,s,o,c,l,h,u){const d=[],f=i-2*o,g={shift:0};for(let e=0,n=t.length;e<n;e++){const n=t[e],u=this._splitLine(n,a,r,f);for(let t=0,n=u.length;t<n;t++){const n=u[t],f=0===e&&0===t?-c-(h-l):-h;d.push(this._renderText(n,a,r,i,s,g,o,f))}}const p=this.getBorderAndBackgroundAppearances(u),m=d.join("\\n");return`/Tx BMC q ${p}BT `+e+` 1 0 0 1 0 ${numberToString(n)} Tm ${m} ET Q EMC`}_splitLine(e,t,a,r,i={}){e=i.line||e;const n=i.glyphs||t.charsToGlyphs(e);if(n.length<=1)return[e];const s=i.positions||t.getCharPositions(e),o=a/1e3,c=[];let l=-1,h=-1,u=-1,d=0,f=0;for(let t=0,a=n.length;t<a;t++){const[a,i]=s[t],g=n[t],p=g.width*o;if(" "===g.unicode)if(f+p>r){c.push(e.substring(d,a));d=a;f=p;l=-1;u=-1}else{f+=p;l=a;h=i;u=t}else if(f+p>r)if(-1!==l){c.push(e.substring(d,h));d=h;t=u+1;l=-1;f=0}else{c.push(e.substring(d,a));d=a;f=p}else f+=p}d<e.length&&c.push(e.substring(d,e.length));return c}async extractTextContent(e,t,a){await super.extractTextContent(e,t,a);const r=this.data.textContent;if(!r)return;const i=r.join("\\n");if(i===this.data.fieldValue)return;const n=i.replaceAll(/([.*+?^${}()|[\\]\\\\])|(\\s+)/g,((e,t)=>t?`\\\\${t}`:"\\\\s+"));new RegExp(`^\\\\s*${n}\\\\s*$`).test(this.data.fieldValue)&&(this.data.textContent=this.data.fieldValue.split("\\n"))}getFieldObject(){return{id:this.data.id,value:this.data.fieldValue,defaultValue:this.data.defaultFieldValue||"",multiline:this.data.multiLine,password:this.data.password,charLimit:this.data.maxLen,comb:this.data.comb,editable:!this.data.readOnly,hidden:this.data.hidden,name:this.data.fieldName,rect:this.data.rect,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,datetimeFormat:this.data.datetimeFormat,hasDatetimeHTML:!!this.data.datetimeType,type:"text"}}}class ButtonWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.checkedAppearance=null;this.uncheckedAppearance=null;const t=this.hasFieldFlag(se),a=this.hasFieldFlag(oe);this.data.checkBox=!t&&!a;this.data.radioButton=t&&!a;this.data.pushButton=a;this.data.isTooltipOnly=!1;if(this.data.checkBox)this._processCheckBox(e);else if(this.data.radioButton)this._processRadioButton(e);else if(this.data.pushButton){this.data.hasOwnCanvas=!0;this.data.noHTML=!1;this._processPushButton(e)}else warn("Invalid field flags for button widget annotation")}async getOperatorList(e,t,a,r){if(this.data.pushButton)return super.getOperatorList(e,t,a,!1,r);let i=null,n=null;if(r){const e=r.get(this.data.id);i=e?e.value:null;n=e?e.rotation:null}if(null===i&&this.appearance)return super.getOperatorList(e,t,a,r);null==i&&(i=this.data.checkBox?this.data.fieldValue===this.data.exportValue:this.data.fieldValue===this.data.buttonValue);const s=i?this.checkedAppearance:this.uncheckedAppearance;if(s){const i=this.appearance,o=lookupMatrix(s.dict.getArray("Matrix"),Fa);n&&s.dict.set("Matrix",this.getRotationMatrix(r));this.appearance=s;const c=super.getOperatorList(e,t,a,r);this.appearance=i;s.dict.set("Matrix",o);return c}return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}async save(e,t,a,r){this.data.checkBox?this._saveCheckbox(e,t,a,r):this.data.radioButton&&this._saveRadioButton(e,t,a,r)}async _saveCheckbox(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.exportValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===s&&(s=this.rotation);void 0===o&&(o=this.data.fieldValue===this.data.exportValue);const l={path:this.data.fieldName,value:o?this.data.exportValue:""},h=Name.get(o?this.data.exportValue:"Off");this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}async _saveRadioButton(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.buttonValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===o&&(o=this.data.fieldValue===this.data.buttonValue);void 0===s&&(s=this.rotation);const l={path:this.data.fieldName,value:o?this.data.buttonValue:""},h=Name.get(o?this.data.buttonValue:"Off");o&&this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}_getDefaultCheckedAppearance(e,t){const{width:a,height:r}=this,i=[0,0,a,r],n=.8*Math.min(a,r);let s,o;if("check"===t){s={width:.755*n,height:.705*n};o="3"}else if("disc"===t){s={width:.791*n,height:.705*n};o="l"}else unreachable(`_getDefaultCheckedAppearance - unsupported type: ${t}`);const c=`q BT /PdfJsZaDb ${n} Tf 0 g ${numberToString((a-s.width)/2)} ${numberToString((r-s.height)/2)} Td (${o}) Tj ET Q`,l=new Dict(e.xref);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Matrix",[1,0,0,1,0,0]);l.set("Length",c.length);const h=new Dict(e.xref),u=new Dict(e.xref);u.set("PdfJsZaDb",this.fallbackFontDict);h.set("Font",u);l.set("Resources",h);this.checkedAppearance=new StringStream(c);this.checkedAppearance.dict=l;this._streams.push(this.checkedAppearance)}_processCheckBox(e){const t=e.dict.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(!(a instanceof Dict))return;const r=this._decodeFormValue(e.dict.get("AS"));"string"==typeof r&&(this.data.fieldValue=r);const i=null!==this.data.fieldValue&&"Off"!==this.data.fieldValue?this.data.fieldValue:"Yes",n=this._decodeFormValue(a.getKeys());if(0===n.length)n.push("Off",i);else if(1===n.length)"Off"===n[0]?n.push(i):n.unshift("Off");else if(n.includes(i)){n.length=0;n.push("Off",i)}else{const e=n.find((e=>"Off"!==e));n.length=0;n.push("Off",e)}n.includes(this.data.fieldValue)||(this.data.fieldValue="Off");this.data.exportValue=n[1];const s=a.get(this.data.exportValue);this.checkedAppearance=s instanceof BaseStream?s:null;const o=a.get("Off");this.uncheckedAppearance=o instanceof BaseStream?o:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"check");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processRadioButton(e){this.data.buttonValue=null;const t=e.dict.get("Parent");if(t instanceof Dict){this.parent=e.dict.getRaw("Parent");const a=t.get("V");a instanceof Name&&(this.data.fieldValue=this._decodeFormValue(a))}const a=e.dict.get("AP");if(!(a instanceof Dict))return;const r=a.get("N");if(!(r instanceof Dict))return;for(const e of r.getKeys())if("Off"!==e){this.data.buttonValue=this._decodeFormValue(e);break}const i=r.get(this.data.buttonValue);this.checkedAppearance=i instanceof BaseStream?i:null;const n=r.get("Off");this.uncheckedAppearance=n instanceof BaseStream?n:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"disc");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processPushButton(e){const{dict:t,annotationGlobals:a}=e;if(t.has("A")||t.has("AA")||this.data.alternativeText){this.data.isTooltipOnly=!t.has("A")&&!t.has("AA");Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}else warn("Push buttons without action dictionaries are not supported")}getFieldObject(){let e,t="button";if(this.data.checkBox){t="checkbox";e=this.data.exportValue}else if(this.data.radioButton){t="radiobutton";e=this.data.buttonValue}return{id:this.data.id,value:this.data.fieldValue||"Off",defaultValue:this.data.defaultFieldValue,exportValues:e,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,hidden:this.data.hidden,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:t}}get fallbackFontDict(){const e=new Dict;e.setIfName("BaseFont","ZapfDingbats");e.setIfName("Type","FallbackType");e.setIfName("Subtype","FallbackType");e.setIfName("Encoding","ZapfDingbatsEncoding");return shadow(this,"fallbackFontDict",e)}}class ChoiceWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.indices=t.getArray("I");this.hasIndices=Array.isArray(this.indices)&&this.indices.length>0;this.data.options=[];const r=getInheritableProperty({dict:t,key:"Opt"});if(Array.isArray(r))for(let e=0,t=r.length;e<t;e++){const t=a.fetchIfRef(r[e]),i=Array.isArray(t);this.data.options[e]={exportValue:this._decodeFormValue(i?a.fetchIfRef(t[0]):t),displayValue:this._decodeFormValue(i?a.fetchIfRef(t[1]):t)}}if(this.hasIndices){this.data.fieldValue=[];const e=this.data.options.length;for(const t of this.indices)Number.isInteger(t)&&t>=0&&t<e&&this.data.fieldValue.push(this.data.options[t].exportValue)}else"string"==typeof this.data.fieldValue?this.data.fieldValue=[this.data.fieldValue]:this.data.fieldValue||=[];0===this.data.options.length&&this.data.fieldValue.length>0&&(this.data.options=this.data.fieldValue.map((e=>({exportValue:e,displayValue:e}))));this.data.combo=this.hasFieldFlag(ce);this.data.multiSelect=this.hasFieldFlag(he);this._hasText=!0}getFieldObject(){const e=this.data.combo?"combobox":"listbox",t=this.data.fieldValue.length>0?this.data.fieldValue[0]:null;return{id:this.data.id,value:t,defaultValue:this.data.defaultFieldValue,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,numItems:this.data.fieldValue.length,multipleSelection:this.data.multiSelect,hidden:this.data.hidden,actions:this.data.actions,items:this.data.options,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:e}}amendSavedDict(e,t){if(!this.hasIndices)return;let a=e?.get(this.data.id)?.value;Array.isArray(a)||(a=[a]);const r=[],{options:i}=this.data;for(let e=0,t=0,n=i.length;e<n;e++)if(i[e].exportValue===a[t]){r.push(e);t+=1}t.set("I",r)}async _getAppearance(e,t,r,i){if(this.data.combo)return super._getAppearance(e,t,r,i);let n,s;const o=i?.get(this.data.id);if(o){s=o.rotation;n=o.value}if(void 0===s&&void 0===n&&!this._needAppearances)return null;void 0===n?n=this.data.fieldValue:Array.isArray(n)||(n=[n]);let{width:c,height:l}=this;90!==s&&270!==s||([c,l]=[l,c]);const h=this.data.options.length,u=[];for(let e=0;e<h;e++){const{exportValue:t}=this.data.options[e];n.includes(t)&&u.push(e)}this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));const d=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);let f,{fontSize:g}=this.data.defaultAppearanceData;if(g)f=this._defaultAppearance;else{const e=(l-1)/h;let t,a=-1;for(const{displayValue:e}of this.data.options){const r=this._getTextWidth(e,d);if(r>a){a=r;t=e}}[f,g]=this._computeFontSize(e,c-4,t,d,-1)}const p=g*a,m=(p-g)/2,b=Math.floor(l/p);let y=0;if(u.length>0){const e=Math.min(...u),t=Math.max(...u);y=Math.max(0,t-b+1);y>e&&(y=e)}const w=Math.min(y+b+1,h),x=["/Tx BMC q",`1 1 ${c} ${l} re W n`];if(u.length){x.push("0.600006 0.756866 0.854904 rg");for(const e of u)y<=e&&e<w&&x.push(`1 ${l-(e-y+1)*p} ${c} ${p} re f`)}x.push("BT",f,`1 0 0 1 0 ${l} Tm`);const S={shift:0};for(let e=y;e<w;e++){const{displayValue:t}=this.data.options[e],a=e===y?m:0;x.push(this._renderText(t,d,g,c,0,S,2,-p+a))}x.push("ET Q EMC");return x.join("\\n")}}class SignatureWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.data.fieldValue=null;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!this.data.hasOwnCanvas}getFieldObject(){return{id:this.data.id,value:null,page:this.data.pageIndex,type:"signature"}}}class TextAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.noRotate=!0;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t}=e;this.data.annotationType=F;if(this.data.hasAppearance)this.data.name="NoIcon";else{this.data.rect[1]=this.data.rect[3]-22;this.data.rect[2]=this.data.rect[0]+22;this.data.name=t.has("Name")?t.get("Name").name:"Note"}if(t.has("State")){this.data.state=t.get("State")||null;this.data.stateModel=t.get("StateModel")||null}else{this.data.state=null;this.data.stateModel=null}}}class LinkAnnotation extends Annotation{constructor(e){super(e);const{dict:t,annotationGlobals:a}=e;this.data.annotationType=T;this.data.noHTML=!1;const r=getQuadPoints(t,this.rectangle);r&&(this.data.quadPoints=r);this.data.borderColor||=this.data.color;Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}get overlaysTextContent(){return!0}}class PopupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;this.data.annotationType=W;this.data.noHTML=!1;0!==this.width&&0!==this.height||(this.data.rect=null);let a=t.get("Parent");if(!a){warn("Popup annotation has a missing or invalid parent annotation.");return}this.data.parentRect=lookupNormalRect(a.getArray("Rect"),null);this.data.creationDate=a.get("CreationDate")||"";isName(a.get("RT"),G)&&(a=a.get("IRT"));if(a.has("M")){this.setModificationDate(a.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;if(a.has("C")){this.setColor(a.getArray("C"));this.data.color=this.color}else this.data.color=null;if(!this.viewable){const e=a.get("F");this._isViewable(e)&&this.setFlags(e)}this.setTitle(a.get("T"));this.data.titleObj=this._title;this.setContents(a.get("Contents"));this.data.contentsObj=this._contents;a.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(a.get("RC")));this.data.open=!!t.get("Open")}static createNewDict(e,t,a){const{oldAnnotation:r,rect:i,parent:n}=e,s=r||new Dict(t);s.setIfNotExists("Type",Name.get("Annot"));s.setIfNotExists("Subtype",Name.get("Popup"));s.setIfNotExists("Open",!1);s.setIfArray("Rect",i);s.set("Parent",n);return s}static async createNewAppearanceStream(e,t,a){return null}}class FreeTextAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;const{annotationGlobals:t,evaluatorOptions:a,xref:r}=e;this.data.annotationType=O;this.setDefaultAppearance(e);this._hasAppearance=!!this.appearance;if(this._hasAppearance){const{fontColor:e,fontSize:i}=function parseAppearanceStream(e,t,a,r){return new AppearanceStreamEvaluator(e,t,a,r).parse()}(this.appearance,a,r,t.globalColorSpaceCache);this.data.defaultAppearanceData.fontColor=e;this.data.defaultAppearanceData.fontSize=i||10}else{this.data.defaultAppearanceData.fontSize||=10;const{fontColor:t,fontSize:a}=this.data.defaultAppearanceData;if(this._contents.str){this.data.textContent=this._contents.str.split(/\\r\\n?|\\n/).map((e=>e.trimEnd()));const{coords:e,bbox:t,matrix:r}=FakeUnicodeFont.getFirstPositionInfo(this.rectangle,this.rotation,a);this.data.textPosition=this._transformPoint(e,t,r)}if(this._isOffscreenCanvasSupported){const i=e.dict.get("CA"),n=new FakeUnicodeFont(r,"sans-serif");this.appearance=n.createAppearance(this._contents.str,this.rectangle,this.rotation,a,t,i);this._streams.push(this.appearance)}else warn("FreeTextAnnotation: OffscreenCanvas is not supported, annotation may not render correctly.")}}get hasTextContent(){return this._hasAppearance}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,fontSize:s,oldAnnotation:o,rect:c,rotation:l,user:h,value:u}=e,d=o||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("FreeText"));d.set(o?"M":"CreationDate",`D:${getModificationDate(n)}`);o&&d.delete("RC");d.setIfArray("Rect",c);const f=`/Helv ${s} Tf ${getPdfColor(i,!0)}`;d.set("DA",f);d.setIfDefined("Contents",stringToAsciiOrUTF16BE(u));d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,r){const{baseFontRef:i,evaluator:n,task:s}=r,{color:o,fontSize:c,rect:l,rotation:h,value:u}=e;if(!o)return null;const d=new Dict(t),f=new Dict(t);if(i)f.set("Helv",i);else{const e=new Dict(t);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");f.set("Helv",e)}d.set("Font",f);const g=await WidgetAnnotation._getFontData(n,s,{fontName:"Helv",fontSize:c},d),[p,m,b,y]=l;let w=b-p,x=y-m;h%180!=0&&([w,x]=[x,w]);const S=u.split("\\n"),k=c/1e3;let C=-1/0;const v=[];for(let e of S){const t=g.encodeString(e);if(t.length>1)return null;e=t.join("");v.push(e);let a=0;const r=g.charsToGlyphs(e);for(const e of r)a+=e.width*k;C=Math.max(C,a)}let F=1;C>w&&(F=w/C);let T=1;const O=a*c,M=1*c,D=O*S.length;D>x&&(T=x/D);const R=c*Math.min(F,T);let N,E,L;switch(h){case 0:L=[1,0,0,1];E=[l[0],l[1],w,x];N=[l[0],l[3]-M];break;case 90:L=[0,1,-1,0];E=[l[1],-l[2],w,x];N=[l[1],-l[0]-M];break;case 180:L=[-1,0,0,-1];E=[-l[2],-l[3],w,x];N=[-l[2],-l[1]-M];break;case 270:L=[0,-1,1,0];E=[-l[3],l[0],w,x];N=[-l[3],l[2]-M]}const j=["q",`${L.join(" ")} 0 0 cm`,`${E.join(" ")} re W n`,"BT",`${getPdfColor(o,!0)}`,`0 Tc /Helv ${numberToString(R)} Tf`];j.push(`${N.join(" ")} Td (${escapeString(v[0])}) Tj`);const _=numberToString(O);for(let e=1,t=v.length;e<t;e++){const t=v[e];j.push(`0 -${_} Td (${escapeString(t)}) Tj`)}j.push("ET","Q");const U=j.join("\\n"),X=new Dict(t);X.set("FormType",1);X.setIfName("Subtype","Form");X.setIfName("Type","XObject");X.set("BBox",l);X.set("Resources",d);X.set("Matrix",[1,0,0,1,-l[0],-l[1]]);const q=new StringStream(U);q.dict=X;return q}}class LineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=M;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const r=lookupRect(t.getArray("L"),[0,0,0,0]);this.data.lineCoordinates=Util.normalizeRect(r);this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),i=t.get("CA"),n=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),s=n?i:null,o=this.borderStyle.width||1,c=2*o,l=[this.data.lineCoordinates[0]-c,this.data.lineCoordinates[1]-c,this.data.lineCoordinates[2]+c,this.data.lineCoordinates[3]+c];Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({xref:a,extra:`${o} w`,strokeColor:e,fillColor:n,strokeAlpha:i,fillAlpha:s,pointsCallback:(e,t)=>{e.push(`${r[0]} ${r[1]} m`,`${r[2]} ${r[3]} l`,"S");return[t[0]-o,t[7]-o,t[2]+o,t[3]+o]}})}}}class SquareAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=D;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[4]+this.borderStyle.width/2,r=t[5]+this.borderStyle.width/2,n=t[6]-t[4]-this.borderStyle.width,s=t[3]-t[7]-this.borderStyle.width;e.push(`${a} ${r} ${n} ${s} re`);i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class CircleAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=R;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;const s=4/3*Math.tan(Math.PI/8);this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[0]+this.borderStyle.width/2,r=t[1]-this.borderStyle.width/2,n=t[6]-this.borderStyle.width/2,o=t[7]+this.borderStyle.width/2,c=a+(n-a)/2,l=r+(o-r)/2,h=(n-a)/2*s,u=(o-r)/2*s;e.push(`${c} ${o} m`,`${c+h} ${o} ${n} ${l+u} ${n} ${l} c`,`${n} ${l-u} ${c+h} ${r} ${c} ${r} c`,`${c-h} ${r} ${a} ${l-u} ${a} ${l} c`,`${a} ${l+u} ${c-h} ${o} ${c} ${o} c`,"h");i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class PolylineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=E;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.vertices=null;if(!(this instanceof PolygonAnnotation)){this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings}const r=t.getArray("Vertices");if(!isNumberArray(r,null))return;const i=this.data.vertices=Float32Array.from(r);if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");let n,s=getRgbColor(t.getArray("IC"),null);s&&(s=getPdfColorArray(s));n=s?this.color?s.every(((t,a)=>t===e[a]))?"f":"B":"f":"S";const o=this.borderStyle.width||1,c=2*o,l=[1/0,1/0,-1/0,-1/0];for(let e=0,t=i.length;e<t;e+=2)Util.rectBoundingBox(i[e]-c,i[e+1]-c,i[e]+c,i[e+1]+c,l);Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({xref:a,extra:`${o} w`,strokeColor:e,strokeAlpha:r,fillColor:s,fillAlpha:s?r:null,pointsCallback:(e,t)=>{for(let t=0,a=i.length;t<a;t+=2)e.push(`${i[t]} ${i[t+1]} ${0===t?"m":"l"}`);e.push(n);return[t[0],t[7],t[2],t[3]]}})}}}class PolygonAnnotation extends PolylineAnnotation{constructor(e){super(e);this.data.annotationType=N}}class CaretAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.annotationType=q}}class InkAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t,xref:a}=e;this.data.annotationType=H;this.data.inkLists=[];this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;const r=t.getArray("InkList");if(Array.isArray(r)){for(let e=0,t=r.length;e<t;++e){if(!Array.isArray(r[e]))continue;const t=new Float32Array(r[e].length);this.data.inkLists.push(t);for(let i=0,n=r[e].length;i<n;i+=2){const n=a.fetchIfRef(r[e][i]),s=a.fetchIfRef(r[e][i+1]);if("number"==typeof n&&"number"==typeof s){t[i]=n;t[i+1]=s}}}if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=this.borderStyle.width||1,n=2*i,s=[1/0,1/0,-1/0,-1/0];for(const e of this.data.inkLists)for(let t=0,a=e.length;t<a;t+=2)Util.rectBoundingBox(e[t]-n,e[t+1]-n,e[t]+n,e[t+1]+n,s);Util.intersect(this.rectangle,s)||(this.rectangle=s);this._setDefaultAppearance({xref:a,extra:`${i} w`,strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{for(const t of this.data.inkLists){for(let a=0,r=t.length;a<r;a+=2)e.push(`${t[a]} ${t[a+1]} ${0===a?"m":"l"}`);e.push("S")}return[t[0],t[7],t[2],t[3]]}})}}}static createNewDict(e,t,{apRef:a,ap:r}){const{oldAnnotation:i,color:n,date:s,opacity:o,paths:c,outlines:l,rect:h,rotation:u,thickness:d,user:f}=e,g=i||new Dict(t);g.setIfNotExists("Type",Name.get("Annot"));g.setIfNotExists("Subtype",Name.get("Ink"));g.set(i?"M":"CreationDate",`D:${getModificationDate(s)}`);g.setIfArray("Rect",h);g.setIfArray("InkList",l?.points||c?.points);g.setIfNotExists("F",4);g.setIfNumber("Rotate",u);g.setIfDefined("T",stringToAsciiOrUTF16BE(f));l&&g.setIfName("IT","InkHighlight");if(d>0){const e=new Dict(t);g.set("BS",e);e.set("W",d)}g.setIfArray("C",getPdfColorArray(n));g.setIfNumber("CA",o);if(r||a){const e=new Dict(t);g.set("AP",e);e.set("N",a||r)}return g}static async createNewAppearanceStream(e,t,a){if(e.outlines)return this.createNewAppearanceStreamForHighlight(e,t,a);const{color:r,rect:i,paths:n,thickness:s,opacity:o}=e;if(!r)return null;const c=[`${s} w 1 J 1 j`,`${getPdfColor(r,!1)}`];1!==o&&c.push("/R0 gs");for(const e of n.lines){c.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))c.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,o]=e.slice(t,t+6);c.push([a,r,i,n,s,o].map(numberToString).join(" ")+" c")}6===e.length&&c.push(`${numberToString(e[4])} ${numberToString(e[5])} l`)}c.push("S");const l=c.join("\\n"),h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);if(1!==o){const e=new Dict(t),a=new Dict(t),r=new Dict(t);r.set("CA",o);r.setIfName("Type","ExtGState");a.set("R0",r);e.set("ExtGState",a);h.set("Resources",e)}const u=new StringStream(l);u.dict=h;return u}static async createNewAppearanceStreamForHighlight(e,t,a){const{color:r,rect:i,outlines:{outline:n},opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"];o.push(`${numberToString(n[4])} ${numberToString(n[5])} m`);for(let e=6,t=n.length;e<t;e+=6)if(isNaN(n[e]))o.push(`${numberToString(n[e+4])} ${numberToString(n[e+5])} l`);else{const[t,a,r,i,s,c]=n.slice(e,e+6);o.push([t,a,r,i,s,c].map(numberToString).join(" ")+" c")}o.push("h f");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Length",c.length);const h=new Dict(t),u=new Dict(t);h.set("ExtGState",u);l.set("Resources",h);const d=new Dict(t);u.set("R0",d);d.setIfName("BM","Multiply");if(1!==s){d.set("ca",s);d.setIfName("Type","ExtGState")}const f=new StringStream(c);f.dict=l;return f}}class HighlightAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=L;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;if(this.data.quadPoints=getQuadPoints(t,null)){const e=this.appearance?.dict.get("Resources");if(!this.appearance||!e?.has("ExtGState")){this.appearance&&warn("HighlightAnnotation - ignoring built-in appearance stream.");const e=getPdfColorArray(this.color,[1,1,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,fillColor:e,blendMode:"Multiply",fillAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[0]} ${t[1]} m`,`${t[2]} ${t[3]} l`,`${t[6]} ${t[7]} l`,`${t[4]} ${t[5]} l`,"f");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,oldAnnotation:s,opacity:o,rect:c,rotation:l,user:h,quadPoints:u}=e,d=s||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("Highlight"));d.set(s?"M":"CreationDate",`D:${getModificationDate(n)}`);d.setIfArray("Rect",c);d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfArray("QuadPoints",u);d.setIfArray("C",getPdfColorArray(i));d.setIfNumber("CA",o);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,a){const{color:r,rect:i,outlines:n,opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"],c=[];for(const e of n){c.length=0;c.push(`${numberToString(e[0])} ${numberToString(e[1])} m`);for(let t=2,a=e.length;t<a;t+=2)c.push(`${numberToString(e[t])} ${numberToString(e[t+1])} l`);c.push("h");o.push(c.join("\\n"))}o.push("f*");const l=o.join("\\n"),h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);const u=new Dict(t),d=new Dict(t);u.set("ExtGState",d);h.set("Resources",u);const f=new Dict(t);d.set("R0",f);f.setIfName("BM","Multiply");if(1!==s){f.set("ca",s);f.setIfName("Type","ExtGState")}const g=new StringStream(l);g.dict=h;return g}}class UnderlineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=j;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 0.571 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[4]} ${t[5]+1.3} m`,`${t[6]} ${t[7]+1.3} l`,"S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class SquigglyAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=_;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{const a=(t[1]-t[5])/6;let r=a,i=t[4];const n=t[5],s=t[6];e.push(`${i} ${n+r} m`);do{i+=2;r=0===r?a:0;e.push(`${i} ${n+r} l`)}while(i<s);e.push("S");return[t[4],n-2*a,s,n+2*a]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StrikeOutAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=U;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push((t[0]+t[4])/2+" "+(t[1]+t[5])/2+" m",(t[2]+t[6])/2+" "+(t[3]+t[7])/2+" l","S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StampAnnotation extends MarkupAnnotation{#pe=null;constructor(e){super(e);this.data.annotationType=X;this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1}mustBeViewedWhenEditing(e,t=null){if(e){if(!this.data.isEditable)return!0;this.#pe??=this.data.hasOwnCanvas;this.data.hasOwnCanvas=!0;return!0}if(null!==this.#pe){this.data.hasOwnCanvas=this.#pe;this.#pe=null}return!t?.has(this.data.id)}static async createImage(e,t){const{width:a,height:r}=e,i=new OffscreenCanvas(a,r),n=i.getContext("2d",{alpha:!0});n.drawImage(e,0,0);const s=n.getImageData(0,0,a,r).data,o=new Uint32Array(s.buffer),c=o.some(FeatureTest.isLittleEndian?e=>e>>>24!=255:e=>!!(255&~e));if(c){n.fillStyle="white";n.fillRect(0,0,a,r);n.drawImage(e,0,0)}const l=i.convertToBlob({type:"image/jpeg",quality:1}).then((e=>e.arrayBuffer())),h=Name.get("XObject"),u=Name.get("Image"),d=new Dict(t);d.set("Type",h);d.set("Subtype",u);d.set("BitsPerComponent",8);d.setIfName("ColorSpace","DeviceRGB");d.setIfName("Filter","DCTDecode");d.set("BBox",[0,0,a,r]);d.set("Width",a);d.set("Height",r);let f=null;if(c){const e=new Uint8Array(o.length);if(FeatureTest.isLittleEndian)for(let t=0,a=o.length;t<a;t++)e[t]=o[t]>>>24;else for(let t=0,a=o.length;t<a;t++)e[t]=255&o[t];const i=new Dict(t);i.set("Type",h);i.set("Subtype",u);i.set("BitsPerComponent",8);i.setIfName("ColorSpace","DeviceGray");i.set("Width",a);i.set("Height",r);f=new Stream(e,0,0,i)}return{imageStream:new Stream(await l,0,0,d),smaskStream:f,width:a,height:r}}static createNewDict(e,t,{apRef:a,ap:r}){const{date:i,oldAnnotation:n,rect:s,rotation:o,user:c}=e,l=n||new Dict(t);l.setIfNotExists("Type",Name.get("Annot"));l.setIfNotExists("Subtype",Name.get("Stamp"));l.set(n?"M":"CreationDate",`D:${getModificationDate(i)}`);l.setIfArray("Rect",s);l.setIfNotExists("F",4);l.setIfNotExists("Border",[0,0,0]);l.setIfNumber("Rotate",o);l.setIfDefined("T",stringToAsciiOrUTF16BE(c));if(a||r){const e=new Dict(t);l.set("AP",e);e.set("N",a||r)}return l}static async#me(e,t){const{areContours:a,color:r,rect:i,lines:n,thickness:s}=e;if(!r)return null;const o=[`${s} w 1 J 1 j`,`${getPdfColor(r,a)}`];for(const e of n){o.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))o.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,c]=e.slice(t,t+6);o.push([a,r,i,n,s,c].map(numberToString).join(" ")+" c")}6===e.length&&o.push(`${numberToString(e[4])} ${numberToString(e[5])} l`)}o.push(a?"F":"S");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Length",c.length);const h=new StringStream(c);h.dict=l;return h}static async createNewAppearanceStream(e,t,a){if(e.oldAnnotation)return null;if(e.isSignature)return this.#me(e,t);const{rotation:r}=e,{imageRef:i,width:n,height:s}=a.image,o=new Dict(t),c=new Dict(t);o.set("XObject",c);c.set("Im0",i);const l=`q ${n} 0 0 ${s} 0 0 cm /Im0 Do Q`,h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",[0,0,n,s]);h.set("Resources",o);if(r){const e=getRotationMatrix(r,n,s);h.set("Matrix",e)}const u=new StringStream(l);u.dict=h;return u}}class FileAttachmentAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e,r=new FileSpec(t.get("FS"),a);this.data.annotationType=z;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.file=r.serializable;const i=t.get("Name");this.data.name=i instanceof Name?stringToPDFString(i.name):"PushPin";const n=t.get("ca");this.data.fillAlpha="number"==typeof n&&n>=0&&n<=1?n:null}}const pc={get r(){return shadow(this,"r",new Uint8Array([7,12,17,22,7,12,17,22,7,12,17,22,7,12,17,22,5,9,14,20,5,9,14,20,5,9,14,20,5,9,14,20,4,11,16,23,4,11,16,23,4,11,16,23,4,11,16,23,6,10,15,21,6,10,15,21,6,10,15,21,6,10,15,21]))},get k(){return shadow(this,"k",new Int32Array([-680876936,-389564586,606105819,-1044525330,-176418897,1200080426,-1473231341,-45705983,1770035416,-1958414417,-42063,-1990404162,1804603682,-40341101,-1502002290,1236535329,-165796510,-1069501632,643717713,-373897302,-701558691,38016083,-660478335,-405537848,568446438,-1019803690,-187363961,1163531501,-1444681467,-51403784,1735328473,-1926607734,-378558,-2022574463,1839030562,-35309556,-1530992060,1272893353,-155497632,-1094730640,681279174,-358537222,-722521979,76029189,-640364487,-421815835,530742520,-995338651,-198630844,1126891415,-1416354905,-57434055,1700485571,-1894986606,-1051523,-2054922799,1873313359,-30611744,-1560198380,1309151649,-145523070,-1120210379,718787259,-343485551]))}};function calculateMD5(e,t,a){let r=1732584193,i=-271733879,n=-1732584194,s=271733878;const o=a+72&-64,c=new Uint8Array(o);let l,h;for(l=0;l<a;++l)c[l]=e[t++];c[l++]=128;const u=o-8;l<u&&(l=u);c[l++]=a<<3&255;c[l++]=a>>5&255;c[l++]=a>>13&255;c[l++]=a>>21&255;c[l++]=a>>>29&255;l+=3;const d=new Int32Array(16),{k:f,r:g}=pc;for(l=0;l<o;){for(h=0;h<16;++h,l+=4)d[h]=c[l]|c[l+1]<<8|c[l+2]<<16|c[l+3]<<24;let e,t,a=r,o=i,u=n,p=s;for(h=0;h<64;++h){if(h<16){e=o&u|~o&p;t=h}else if(h<32){e=p&o|~p&u;t=5*h+1&15}else if(h<48){e=o^u^p;t=3*h+5&15}else{e=u^(o|~p);t=7*h&15}const r=p,i=a+e+f[h]+d[t]|0,n=g[h];p=u;u=o;o=o+(i<<n|i>>>32-n)|0;a=r}r=r+a|0;i=i+o|0;n=n+u|0;s=s+p|0}return new Uint8Array([255&r,r>>8&255,r>>16&255,r>>>24&255,255&i,i>>8&255,i>>16&255,i>>>24&255,255&n,n>>8&255,n>>16&255,n>>>24&255,255&s,s>>8&255,s>>16&255,s>>>24&255])}function decodeString(e){try{return stringToUTF8String(e)}catch(t){warn(`UTF-8 decoding failed: "${t}".`);return e}}class DatasetXMLParser extends SimpleXMLParser{constructor(e){super(e);this.node=null}onEndElement(e){const t=super.onEndElement(e);if(t&&"xfa:datasets"===e){this.node=t;throw new Error("Aborting DatasetXMLParser.")}}}class DatasetReader{constructor(e){if(e.datasets)this.node=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e.datasets).documentElement;else{const t=new DatasetXMLParser({hasAttributes:!0});try{t.parseFromString(e["xdp:xdp"])}catch{}this.node=t.node}}getValue(e){if(!this.node||!e)return"";const t=this.node.searchNode(parseXFAPath(e),0);if(!t)return"";const a=t.firstChild;return"value"===a?.nodeName?t.children.map((e=>decodeString(e.textContent))):decodeString(t.textContent)}}class SingleIntersector{#be;#ye=1/0;#we=1/0;#xe=-1/0;#Se=-1/0;#Ae=null;#ke=[];#Ce=[];#ve=-1;#Fe=!1;constructor(e){this.#be=e;const t=e.data.quadPoints;if(t){for(let e=0,a=t.length;e<a;e+=8){this.#ye=Math.min(this.#ye,t[e]);this.#xe=Math.max(this.#xe,t[e+2]);this.#we=Math.min(this.#we,t[e+5]);this.#Se=Math.max(this.#Se,t[e+1])}t.length>8&&(this.#Ae=t)}else[this.#ye,this.#we,this.#xe,this.#Se]=e.data.rect}overlaps(e){return!(this.#ye>=e.#xe||this.#xe<=e.#ye||this.#we>=e.#Se||this.#Se<=e.#we)}#Ie(e,t){if(this.#ye>=e||this.#xe<=e||this.#we>=t||this.#Se<=t)return!1;const a=this.#Ae;if(!a)return!0;if(this.#ve>=0){const r=this.#ve;if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t))return!0;this.#ve=-1}for(let r=0,i=a.length;r<i;r+=8)if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t)){this.#ve=r;return!0}return!1}addGlyph(e,t,a){if(!this.#Ie(e,t)){this.disableExtraChars();return!1}if(this.#Ce.length>0){this.#ke.push(this.#Ce.join(""));this.#Ce.length=0}this.#ke.push(a);this.#Fe=!0;return!0}addExtraChar(e){this.#Fe&&this.#Ce.push(e)}disableExtraChars(){if(this.#Fe){this.#Fe=!1;this.#Ce.length=0}}setText(){this.#be.data.overlaidText=this.#ke.join("")}}class Intersector{#Te=new Map;constructor(e){for(const t of e){if(!t.data.quadPoints&&!t.data.rect)continue;const e=new SingleIntersector(t);for(const[t,a]of this.#Te)t.overlaps(e)&&(a?a.add(e):this.#Te.set(t,new Set([e])));this.#Te.set(e,null)}}addGlyph(e,t,a,r){const i=e[4]+t/2,n=e[5]+a/2;let s;for(const[e,t]of this.#Te)s?s.has(e)?e.addGlyph(i,n,r):e.disableExtraChars():e.addGlyph(i,n,r)&&(s=t)}addExtraChar(e){for(const t of this.#Te.keys())t.addExtraChar(e)}setText(){for(const e of this.#Te.keys())e.setText()}}class Word64{constructor(e,t){this.high=0|e;this.low=0|t}and(e){this.high&=e.high;this.low&=e.low}xor(e){this.high^=e.high;this.low^=e.low}shiftRight(e){if(e>=32){this.low=this.high>>>e-32|0;this.high=0}else{this.low=this.low>>>e|this.high<<32-e;this.high=this.high>>>e|0}}rotateRight(e){let t,a;if(32&e){a=this.low;t=this.high}else{t=this.low;a=this.high}e&=31;this.low=t>>>e|a<<32-e;this.high=a>>>e|t<<32-e}not(){this.high=~this.high;this.low=~this.low}add(e){const t=(this.low>>>0)+(e.low>>>0);let a=(this.high>>>0)+(e.high>>>0);t>4294967295&&(a+=1);this.low=0|t;this.high=0|a}copyTo(e,t){e[t]=this.high>>>24&255;e[t+1]=this.high>>16&255;e[t+2]=this.high>>8&255;e[t+3]=255&this.high;e[t+4]=this.low>>>24&255;e[t+5]=this.low>>16&255;e[t+6]=this.low>>8&255;e[t+7]=255&this.low}assign(e){this.high=e.high;this.low=e.low}}const mc={get k(){return shadow(this,"k",[new Word64(1116352408,3609767458),new Word64(1899447441,602891725),new Word64(3049323471,3964484399),new Word64(3921009573,2173295548),new Word64(961987163,4081628472),new Word64(1508970993,3053834265),new Word64(2453635748,2937671579),new Word64(2870763221,3664609560),new Word64(3624381080,2734883394),new Word64(310598401,1164996542),new Word64(607225278,1323610764),new Word64(1426881987,3590304994),new Word64(1925078388,4068182383),new Word64(2162078206,991336113),new Word64(2614888103,633803317),new Word64(3248222580,3479774868),new Word64(3835390401,2666613458),new Word64(4022224774,944711139),new Word64(264347078,2341262773),new Word64(604807628,2007800933),new Word64(770255983,1495990901),new Word64(1249150122,1856431235),new Word64(1555081692,3175218132),new Word64(1996064986,2198950837),new Word64(2554220882,3999719339),new Word64(2821834349,766784016),new Word64(2952996808,2566594879),new Word64(3210313671,3203337956),new Word64(3336571891,1034457026),new Word64(3584528711,2466948901),new Word64(113926993,3758326383),new Word64(338241895,168717936),new Word64(666307205,1188179964),new Word64(773529912,1546045734),new Word64(1294757372,1522805485),new Word64(1396182291,2643833823),new Word64(1695183700,2343527390),new Word64(1986661051,1014477480),new Word64(2177026350,1206759142),new Word64(2456956037,344077627),new Word64(2730485921,1290863460),new Word64(2820302411,3158454273),new Word64(3259730800,3505952657),new Word64(3345764771,106217008),new Word64(3516065817,3606008344),new Word64(3600352804,1432725776),new Word64(4094571909,1467031594),new Word64(275423344,851169720),new Word64(430227734,3100823752),new Word64(506948616,1363258195),new Word64(659060556,3750685593),new Word64(883997877,3785050280),new Word64(958139571,3318307427),new Word64(1322822218,3812723403),new Word64(1537002063,2003034995),new Word64(1747873779,3602036899),new Word64(1955562222,1575990012),new Word64(2024104815,1125592928),new Word64(2227730452,2716904306),new Word64(2361852424,442776044),new Word64(2428436474,593698344),new Word64(2756734187,3733110249),new Word64(3204031479,2999351573),new Word64(3329325298,3815920427),new Word64(3391569614,3928383900),new Word64(3515267271,566280711),new Word64(3940187606,3454069534),new Word64(4118630271,4000239992),new Word64(116418474,1914138554),new Word64(174292421,2731055270),new Word64(289380356,3203993006),new Word64(460393269,320620315),new Word64(685471733,587496836),new Word64(852142971,1086792851),new Word64(1017036298,365543100),new Word64(1126000580,2618297676),new Word64(1288033470,3409855158),new Word64(1501505948,4234509866),new Word64(1607167915,987167468),new Word64(1816402316,1246189591)])}};function ch(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.not();i.and(r);e.xor(i)}function maj(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.and(r);e.xor(i);i.assign(a);i.and(r);e.xor(i)}function sigma(e,t,a){e.assign(t);e.rotateRight(28);a.assign(t);a.rotateRight(34);e.xor(a);a.assign(t);a.rotateRight(39);e.xor(a)}function sigmaPrime(e,t,a){e.assign(t);e.rotateRight(14);a.assign(t);a.rotateRight(18);e.xor(a);a.assign(t);a.rotateRight(41);e.xor(a)}function littleSigma(e,t,a){e.assign(t);e.rotateRight(1);a.assign(t);a.rotateRight(8);e.xor(a);a.assign(t);a.shiftRight(7);e.xor(a)}function littleSigmaPrime(e,t,a){e.assign(t);e.rotateRight(19);a.assign(t);a.rotateRight(61);e.xor(a);a.assign(t);a.shiftRight(6);e.xor(a)}function calculateSHA512(e,t,a,r=!1){let i,n,s,o,c,l,h,u;if(r){i=new Word64(3418070365,3238371032);n=new Word64(1654270250,914150663);s=new Word64(2438529370,812702999);o=new Word64(355462360,4144912697);c=new Word64(1731405415,4290775857);l=new Word64(2394180231,1750603025);h=new Word64(3675008525,1694076839);u=new Word64(1203062813,3204075428)}else{i=new Word64(1779033703,4089235720);n=new Word64(3144134277,2227873595);s=new Word64(1013904242,4271175723);o=new Word64(2773480762,1595750129);c=new Word64(1359893119,2917565137);l=new Word64(2600822924,725511199);h=new Word64(528734635,4215389547);u=new Word64(1541459225,327033209)}const d=128*Math.ceil((a+17)/128),f=new Uint8Array(d);let g,p;for(g=0;g<a;++g)f[g]=e[t++];f[g++]=128;const m=d-16;g<m&&(g=m);g+=11;f[g++]=a>>>29&255;f[g++]=a>>21&255;f[g++]=a>>13&255;f[g++]=a>>5&255;f[g++]=a<<3&255;const b=new Array(80);for(g=0;g<80;g++)b[g]=new Word64(0,0);const{k:y}=mc;let w=new Word64(0,0),x=new Word64(0,0),S=new Word64(0,0),k=new Word64(0,0),C=new Word64(0,0),v=new Word64(0,0),F=new Word64(0,0),T=new Word64(0,0);const O=new Word64(0,0),M=new Word64(0,0),D=new Word64(0,0),R=new Word64(0,0);let N,E;for(g=0;g<d;){for(p=0;p<16;++p){b[p].high=f[g]<<24|f[g+1]<<16|f[g+2]<<8|f[g+3];b[p].low=f[g+4]<<24|f[g+5]<<16|f[g+6]<<8|f[g+7];g+=8}for(p=16;p<80;++p){N=b[p];littleSigmaPrime(N,b[p-2],R);N.add(b[p-7]);littleSigma(D,b[p-15],R);N.add(D);N.add(b[p-16])}w.assign(i);x.assign(n);S.assign(s);k.assign(o);C.assign(c);v.assign(l);F.assign(h);T.assign(u);for(p=0;p<80;++p){O.assign(T);sigmaPrime(D,C,R);O.add(D);ch(D,C,v,F,R);O.add(D);O.add(y[p]);O.add(b[p]);sigma(M,w,R);maj(D,w,x,S,R);M.add(D);N=T;T=F;F=v;v=C;k.add(O);C=k;k=S;S=x;x=w;N.assign(O);N.add(M);w=N}i.add(w);n.add(x);s.add(S);o.add(k);c.add(C);l.add(v);h.add(F);u.add(T)}if(r){E=new Uint8Array(48);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40)}else{E=new Uint8Array(64);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40);h.copyTo(E,48);u.copyTo(E,56)}return E}const bc={get k(){return shadow(this,"k",[1116352408,1899447441,3049323471,3921009573,961987163,1508970993,2453635748,2870763221,3624381080,310598401,607225278,1426881987,1925078388,2162078206,2614888103,3248222580,3835390401,4022224774,264347078,604807628,770255983,1249150122,1555081692,1996064986,2554220882,2821834349,2952996808,3210313671,3336571891,3584528711,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,2177026350,2456956037,2730485921,2820302411,3259730800,3345764771,3516065817,3600352804,4094571909,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,2227730452,2361852424,2428436474,2756734187,3204031479,3329325298])}};function rotr(e,t){return e>>>t|e<<32-t}function calculate_sha256_ch(e,t,a){return e&t^~e&a}function calculate_sha256_maj(e,t,a){return e&t^e&a^t&a}function calculate_sha256_sigma(e){return rotr(e,2)^rotr(e,13)^rotr(e,22)}function calculate_sha256_sigmaPrime(e){return rotr(e,6)^rotr(e,11)^rotr(e,25)}function calculate_sha256_littleSigma(e){return rotr(e,7)^rotr(e,18)^e>>>3}function calculateSHA256(e,t,a){let r=1779033703,i=3144134277,n=1013904242,s=2773480762,o=1359893119,c=2600822924,l=528734635,h=1541459225;const u=64*Math.ceil((a+9)/64),d=new Uint8Array(u);let f,g;for(f=0;f<a;++f)d[f]=e[t++];d[f++]=128;const p=u-8;f<p&&(f=p);f+=3;d[f++]=a>>>29&255;d[f++]=a>>21&255;d[f++]=a>>13&255;d[f++]=a>>5&255;d[f++]=a<<3&255;const m=new Uint32Array(64),{k:b}=bc;for(f=0;f<u;){for(g=0;g<16;++g){m[g]=d[f]<<24|d[f+1]<<16|d[f+2]<<8|d[f+3];f+=4}for(g=16;g<64;++g)m[g]=(rotr(y=m[g-2],17)^rotr(y,19)^y>>>10)+m[g-7]+calculate_sha256_littleSigma(m[g-15])+m[g-16]|0;let e,t,a=r,u=i,p=n,w=s,x=o,S=c,k=l,C=h;for(g=0;g<64;++g){e=C+calculate_sha256_sigmaPrime(x)+calculate_sha256_ch(x,S,k)+b[g]+m[g];t=calculate_sha256_sigma(a)+calculate_sha256_maj(a,u,p);C=k;k=S;S=x;x=w+e|0;w=p;p=u;u=a;a=e+t|0}r=r+a|0;i=i+u|0;n=n+p|0;s=s+w|0;o=o+x|0;c=c+S|0;l=l+k|0;h=h+C|0}var y;return new Uint8Array([r>>24&255,r>>16&255,r>>8&255,255&r,i>>24&255,i>>16&255,i>>8&255,255&i,n>>24&255,n>>16&255,n>>8&255,255&n,s>>24&255,s>>16&255,s>>8&255,255&s,o>>24&255,o>>16&255,o>>8&255,255&o,c>>24&255,c>>16&255,c>>8&255,255&c,l>>24&255,l>>16&255,l>>8&255,255&l,h>>24&255,h>>16&255,h>>8&255,255&h])}class DecryptStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.decrypt=a;this.nextChunk=null;this.initialized=!1}readBlock(){let e;if(this.initialized)e=this.nextChunk;else{e=this.str.getBytes(512);this.initialized=!0}if(!e?.length){this.eof=!0;return}this.nextChunk=this.str.getBytes(512);const t=this.nextChunk?.length>0;e=(0,this.decrypt)(e,!t);const a=this.bufferLength,r=a+e.length;this.ensureBuffer(r).set(e,a);this.bufferLength=r}}class ARCFourCipher{constructor(e){this.a=0;this.b=0;const t=new Uint8Array(256),a=e.length;for(let e=0;e<256;++e)t[e]=e;for(let r=0,i=0;r<256;++r){const n=t[r];i=i+n+e[r%a]&255;t[r]=t[i];t[i]=n}this.s=t}encryptBlock(e){let t=this.a,a=this.b;const r=this.s,i=e.length,n=new Uint8Array(i);for(let s=0;s<i;++s){t=t+1&255;const i=r[t];a=a+i&255;const o=r[a];r[t]=o;r[a]=i;n[s]=e[s]^r[i+o&255]}this.a=t;this.b=a;return n}decryptBlock(e){return this.encryptBlock(e)}encrypt(e){return this.encryptBlock(e)}}class NullCipher{decryptBlock(e){return e}encrypt(e){return e}}class AESBaseCipher{_s=new Uint8Array([99,124,119,123,242,107,111,197,48,1,103,43,254,215,171,118,202,130,201,125,250,89,71,240,173,212,162,175,156,164,114,192,183,253,147,38,54,63,247,204,52,165,229,241,113,216,49,21,4,199,35,195,24,150,5,154,7,18,128,226,235,39,178,117,9,131,44,26,27,110,90,160,82,59,214,179,41,227,47,132,83,209,0,237,32,252,177,91,106,203,190,57,74,76,88,207,208,239,170,251,67,77,51,133,69,249,2,127,80,60,159,168,81,163,64,143,146,157,56,245,188,182,218,33,16,255,243,210,205,12,19,236,95,151,68,23,196,167,126,61,100,93,25,115,96,129,79,220,34,42,144,136,70,238,184,20,222,94,11,219,224,50,58,10,73,6,36,92,194,211,172,98,145,149,228,121,231,200,55,109,141,213,78,169,108,86,244,234,101,122,174,8,186,120,37,46,28,166,180,198,232,221,116,31,75,189,139,138,112,62,181,102,72,3,246,14,97,53,87,185,134,193,29,158,225,248,152,17,105,217,142,148,155,30,135,233,206,85,40,223,140,161,137,13,191,230,66,104,65,153,45,15,176,84,187,22]);_inv_s=new Uint8Array([82,9,106,213,48,54,165,56,191,64,163,158,129,243,215,251,124,227,57,130,155,47,255,135,52,142,67,68,196,222,233,203,84,123,148,50,166,194,35,61,238,76,149,11,66,250,195,78,8,46,161,102,40,217,36,178,118,91,162,73,109,139,209,37,114,248,246,100,134,104,152,22,212,164,92,204,93,101,182,146,108,112,72,80,253,237,185,218,94,21,70,87,167,141,157,132,144,216,171,0,140,188,211,10,247,228,88,5,184,179,69,6,208,44,30,143,202,63,15,2,193,175,189,3,1,19,138,107,58,145,17,65,79,103,220,234,151,242,207,206,240,180,230,115,150,172,116,34,231,173,53,133,226,249,55,232,28,117,223,110,71,241,26,113,29,41,197,137,111,183,98,14,170,24,190,27,252,86,62,75,198,210,121,32,154,219,192,254,120,205,90,244,31,221,168,51,136,7,199,49,177,18,16,89,39,128,236,95,96,81,127,169,25,181,74,13,45,229,122,159,147,201,156,239,160,224,59,77,174,42,245,176,200,235,187,60,131,83,153,97,23,43,4,126,186,119,214,38,225,105,20,99,85,33,12,125]);_mix=new Uint32Array([0,235474187,470948374,303765277,941896748,908933415,607530554,708780849,1883793496,2118214995,1817866830,1649639237,1215061108,1181045119,1417561698,1517767529,3767586992,4003061179,4236429990,4069246893,3635733660,3602770327,3299278474,3400528769,2430122216,2664543715,2362090238,2193862645,2835123396,2801107407,3035535058,3135740889,3678124923,3576870512,3341394285,3374361702,3810496343,3977675356,4279080257,4043610186,2876494627,2776292904,3076639029,3110650942,2472011535,2640243204,2403728665,2169303058,1001089995,899835584,666464733,699432150,59727847,226906860,530400753,294930682,1273168787,1172967064,1475418501,1509430414,1942435775,2110667444,1876241833,1641816226,2910219766,2743034109,2976151520,3211623147,2505202138,2606453969,2302690252,2269728455,3711829422,3543599269,3240894392,3475313331,3843699074,3943906441,4178062228,4144047775,1306967366,1139781709,1374988112,1610459739,1975683434,2076935265,1775276924,1742315127,1034867998,866637845,566021896,800440835,92987698,193195065,429456164,395441711,1984812685,2017778566,1784663195,1683407248,1315562145,1080094634,1383856311,1551037884,101039829,135050206,437757123,337553864,1042385657,807962610,573804783,742039012,2531067453,2564033334,2328828971,2227573024,2935566865,2700099354,3001755655,3168937228,3868552805,3902563182,4203181171,4102977912,3736164937,3501741890,3265478751,3433712980,1106041591,1340463100,1576976609,1408749034,2043211483,2009195472,1708848333,1809054150,832877231,1068351396,766945465,599762354,159417987,126454664,361929877,463180190,2709260871,2943682380,3178106961,3009879386,2572697195,2538681184,2236228733,2336434550,3509871135,3745345300,3441850377,3274667266,3910161971,3877198648,4110568485,4211818798,2597806476,2497604743,2261089178,2295101073,2733856160,2902087851,3202437046,2968011453,3936291284,3835036895,4136440770,4169408201,3535486456,3702665459,3467192302,3231722213,2051518780,1951317047,1716890410,1750902305,1113818384,1282050075,1584504582,1350078989,168810852,67556463,371049330,404016761,841739592,1008918595,775550814,540080725,3969562369,3801332234,4035489047,4269907996,3569255213,3669462566,3366754619,3332740144,2631065433,2463879762,2160117071,2395588676,2767645557,2868897406,3102011747,3069049960,202008497,33778362,270040487,504459436,875451293,975658646,675039627,641025152,2084704233,1917518562,1615861247,1851332852,1147550661,1248802510,1484005843,1451044056,933301370,967311729,733156972,632953703,260388950,25965917,328671808,496906059,1206477858,1239443753,1543208500,1441952575,2144161806,1908694277,1675577880,1842759443,3610369226,3644379585,3408119516,3307916247,4011190502,3776767469,4077384432,4245618683,2809771154,2842737049,3144396420,3043140495,2673705150,2438237621,2203032232,2370213795]);_mixCol=new Uint8Array(256).map(((e,t)=>t<128?t<<1:t<<1^27));constructor(){this.buffer=new Uint8Array(16);this.bufferPosition=0}_expandKey(e){unreachable("Cannot call `_expandKey` on the base class")}_decrypt(e,t){let a,r,i;const n=new Uint8Array(16);n.set(e);for(let e=0,a=this._keySize;e<16;++e,++a)n[e]^=t[a];for(let e=this._cyclesOfRepetition-1;e>=1;--e){a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e)n[e]=this._inv_s[n[e]];for(let a=0,r=16*e;a<16;++a,++r)n[a]^=t[r];for(let e=0;e<16;e+=4){const t=this._mix[n[e]],r=this._mix[n[e+1]],i=this._mix[n[e+2]],s=this._mix[n[e+3]];a=t^r>>>8^r<<24^i>>>16^i<<16^s>>>24^s<<8;n[e]=a>>>24&255;n[e+1]=a>>16&255;n[e+2]=a>>8&255;n[e+3]=255&a}}a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e){n[e]=this._inv_s[n[e]];n[e]^=t[e]}return n}_encrypt(e,t){const a=this._s;let r,i,n;const s=new Uint8Array(16);s.set(e);for(let e=0;e<16;++e)s[e]^=t[e];for(let e=1;e<this._cyclesOfRepetition;e++){for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0;e<16;e+=4){const t=s[e],a=s[e+1],i=s[e+2],n=s[e+3];r=t^a^i^n;s[e]^=r^this._mixCol[t^a];s[e+1]^=r^this._mixCol[a^i];s[e+2]^=r^this._mixCol[i^n];s[e+3]^=r^this._mixCol[n^t]}for(let a=0,r=16*e;a<16;++a,++r)s[a]^=t[r]}for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0,a=this._keySize;e<16;++e,++a)s[e]^=t[a];return s}_decryptBlock2(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];let s=this.iv;for(let t=0;t<a;++t){r[i]=e[t];++i;if(i<16)continue;const a=this._decrypt(r,this._key);for(let e=0;e<16;++e)a[e]^=s[e];s=r;n.push(a);r=new Uint8Array(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=s;if(0===n.length)return new Uint8Array(0);let o=16*n.length;if(t){const e=n.at(-1);let t=e[15];if(t<=16){for(let a=15,r=16-t;a>=r;--a)if(e[a]!==t){t=0;break}o-=t;n[n.length-1]=e.subarray(0,16-t)}}const c=new Uint8Array(o);for(let e=0,t=0,a=n.length;e<a;++e,t+=16)c.set(n[e],t);return c}decryptBlock(e,t,a=null){const r=e.length,i=this.buffer;let n=this.bufferPosition;if(a)this.iv=a;else{for(let t=0;n<16&&t<r;++t,++n)i[n]=e[t];if(n<16){this.bufferLength=n;return new Uint8Array(0)}this.iv=i;e=e.subarray(16)}this.buffer=new Uint8Array(16);this.bufferLength=0;this.decryptBlock=this._decryptBlock2;return this.decryptBlock(e,t)}encrypt(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];t||=new Uint8Array(16);for(let s=0;s<a;++s){r[i]=e[s];++i;if(i<16)continue;for(let e=0;e<16;++e)r[e]^=t[e];const a=this._encrypt(r,this._key);t=a;n.push(a);r=new Uint8Array(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=t;if(0===n.length)return new Uint8Array(0);const s=16*n.length,o=new Uint8Array(s);for(let e=0,t=0,a=n.length;e<a;++e,t+=16)o.set(n[e],t);return o}}class AES128Cipher extends AESBaseCipher{_rcon=new Uint8Array([141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141]);constructor(e){super();this._cyclesOfRepetition=10;this._keySize=160;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=this._rcon,r=new Uint8Array(176);r.set(e);for(let e=16,i=1;e<176;++i){let n=r[e-3],s=r[e-2],o=r[e-1],c=r[e-4];n=t[n];s=t[s];o=t[o];c=t[c];n^=a[i];for(let t=0;t<4;++t){r[e]=n^=r[e-16];e++;r[e]=s^=r[e-16];e++;r[e]=o^=r[e-16];e++;r[e]=c^=r[e-16];e++}}return r}}class AES256Cipher extends AESBaseCipher{constructor(e){super();this._cyclesOfRepetition=14;this._keySize=224;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=new Uint8Array(240);a.set(e);let r,i,n,s,o=1;for(let e=32,c=1;e<240;++c){if(e%32==16){r=t[r];i=t[i];n=t[n];s=t[s]}else if(e%32==0){r=a[e-3];i=a[e-2];n=a[e-1];s=a[e-4];r=t[r];i=t[i];n=t[n];s=t[s];r^=o;(o<<=1)>=256&&(o=255&(27^o))}for(let t=0;t<4;++t){a[e]=r^=a[e-32];e++;a[e]=i^=a[e-32];e++;a[e]=n^=a[e-32];e++;a[e]=s^=a[e-32];e++}}return a}}class PDFBase{_hash(e,t,a){unreachable("Abstract method `_hash` called")}checkOwnerPassword(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);return isArrayEqual(this._hash(e,i,a),r)}checkUserPassword(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);return isArrayEqual(this._hash(e,r,[]),a)}getOwnerKey(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);const n=this._hash(e,i,a);return new AES256Cipher(n).decryptBlock(r,!1,new Uint8Array(16))}getUserKey(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);const i=this._hash(e,r,[]);return new AES256Cipher(i).decryptBlock(a,!1,new Uint8Array(16))}}class PDF17 extends PDFBase{_hash(e,t,a){return calculateSHA256(t,0,t.length)}}class PDF20 extends PDFBase{_hash(e,t,a){let r=calculateSHA256(t,0,t.length).subarray(0,32),i=[0],n=0;for(;n<64||i.at(-1)>n-32;){const t=e.length+r.length+a.length,l=new Uint8Array(t);let h=0;l.set(e,h);h+=e.length;l.set(r,h);h+=r.length;l.set(a,h);const u=new Uint8Array(64*t);for(let e=0,a=0;e<64;e++,a+=t)u.set(l,a);i=new AES128Cipher(r.subarray(0,16)).encrypt(u,r.subarray(16,32));const d=Math.sumPrecise(i.slice(0,16))%3;0===d?r=calculateSHA256(i,0,i.length):1===d?r=(s=i,o=0,c=i.length,calculateSHA512(s,o,c,!0)):2===d&&(r=calculateSHA512(i,0,i.length));n++}var s,o,c;return r.subarray(0,32)}}class CipherTransform{constructor(e,t){this.StringCipherConstructor=e;this.StreamCipherConstructor=t}createStream(e,t){const a=new this.StreamCipherConstructor;return new DecryptStream(e,t,(function cipherTransformDecryptStream(e,t){return a.decryptBlock(e,t)}))}decryptString(e){const t=new this.StringCipherConstructor;let a=stringToBytes(e);a=t.decryptBlock(a,!0);return bytesToString(a)}encryptString(e){const t=new this.StringCipherConstructor;if(t instanceof AESBaseCipher){const a=16-e.length%16;e+=String.fromCharCode(a).repeat(a);const r=new Uint8Array(16);crypto.getRandomValues(r);let i=stringToBytes(e);i=t.encrypt(i,r);const n=new Uint8Array(16+i.length);n.set(r);n.set(i,16);return bytesToString(n)}let a=stringToBytes(e);a=t.encrypt(a);return bytesToString(a)}}class CipherTransformFactory{static get _defaultPasswordBytes(){return shadow(this,"_defaultPasswordBytes",new Uint8Array([40,191,78,94,78,117,138,65,100,0,78,86,255,250,1,8,46,46,0,182,208,104,62,128,47,12,169,254,100,83,105,122]))}#Oe(e,t,a,r,i,n,s,o,c,l,h,u){if(t){const e=Math.min(127,t.length);t=t.subarray(0,e)}else t=[];const d=6===e?new PDF20:new PDF17;return d.checkUserPassword(t,o,s)?d.getUserKey(t,c,h):t.length&&d.checkOwnerPassword(t,r,n,a)?d.getOwnerKey(t,i,n,l):null}#Me(e,t,a,r,i,n,s,o){const c=40+a.length+e.length,l=new Uint8Array(c);let h,u,d=0;if(t){u=Math.min(32,t.length);for(;d<u;++d)l[d]=t[d]}h=0;for(;d<32;)l[d++]=CipherTransformFactory._defaultPasswordBytes[h++];l.set(a,d);d+=a.length;l[d++]=255&i;l[d++]=i>>8&255;l[d++]=i>>16&255;l[d++]=i>>>24&255;l.set(e,d);d+=e.length;if(n>=4&&!o){l.fill(255,d,d+4);d+=4}let f=calculateMD5(l,0,d);const g=s>>3;if(n>=3)for(h=0;h<50;++h)f=calculateMD5(f,0,g);const p=f.subarray(0,g);let m,b;if(n>=3){d=0;l.set(CipherTransformFactory._defaultPasswordBytes,d);d+=32;l.set(e,d);d+=e.length;m=new ARCFourCipher(p);b=m.encryptBlock(calculateMD5(l,0,d));u=p.length;const t=new Uint8Array(u);for(h=1;h<=19;++h){for(let e=0;e<u;++e)t[e]=p[e]^h;m=new ARCFourCipher(t);b=m.encryptBlock(b)}}else{m=new ARCFourCipher(p);b=m.encryptBlock(CipherTransformFactory._defaultPasswordBytes)}return b.every(((e,t)=>r[t]===e))?p:null}#De(e,t,a,r){const i=new Uint8Array(32);let n=0;const s=Math.min(32,e.length);for(;n<s;++n)i[n]=e[n];let o=0;for(;n<32;)i[n++]=CipherTransformFactory._defaultPasswordBytes[o++];let c=calculateMD5(i,0,n);const l=r>>3;if(a>=3)for(o=0;o<50;++o)c=calculateMD5(c,0,c.length);let h,u;if(a>=3){u=t;const e=new Uint8Array(l);for(o=19;o>=0;o--){for(let t=0;t<l;++t)e[t]=c[t]^o;h=new ARCFourCipher(e);u=h.encryptBlock(u)}}else{h=new ARCFourCipher(c.subarray(0,l));u=h.encryptBlock(t)}return u}#Be(e,t,a,r=!1){const i=a.length,n=new Uint8Array(i+9);n.set(a);let s=i;n[s++]=255&e;n[s++]=e>>8&255;n[s++]=e>>16&255;n[s++]=255&t;n[s++]=t>>8&255;if(r){n[s++]=115;n[s++]=65;n[s++]=108;n[s++]=84}return calculateMD5(n,0,s).subarray(0,Math.min(i+5,16))}#Re(e,t,a,r,i){if(!(t instanceof Name))throw new FormatError("Invalid crypt filter name.");const n=this,s=e.get(t.name),o=s?.get("CFM");if(!o||"None"===o.name)return function(){return new NullCipher};if("V2"===o.name)return function(){return new ARCFourCipher(n.#Be(a,r,i,!1))};if("AESV2"===o.name)return function(){return new AES128Cipher(n.#Be(a,r,i,!0))};if("AESV3"===o.name)return function(){return new AES256Cipher(i)};throw new FormatError("Unknown crypto method")}constructor(e,t,a){const r=e.get("Filter");if(!isName(r,"Standard"))throw new FormatError("unknown encryption method");this.filterName=r.name;this.dict=e;const i=e.get("V");if(!Number.isInteger(i)||1!==i&&2!==i&&4!==i&&5!==i)throw new FormatError("unsupported encryption algorithm");this.algorithm=i;let n=e.get("Length");if(!n)if(i<=3)n=40;else{const t=e.get("CF"),a=e.get("StmF");if(t instanceof Dict&&a instanceof Name){t.suppressEncryption=!0;const e=t.get(a.name);n=e?.get("Length")||128;n<40&&(n<<=3)}}if(!Number.isInteger(n)||n<40||n%8!=0)throw new FormatError("invalid key length");const s=stringToBytes(e.get("O")),o=stringToBytes(e.get("U")),c=s.subarray(0,32),l=o.subarray(0,32),h=e.get("P"),u=e.get("R"),d=(4===i||5===i)&&!1!==e.get("EncryptMetadata");this.encryptMetadata=d;const f=stringToBytes(t);let g,p;if(a){if(6===u)try{a=utf8StringToString(a)}catch{warn("CipherTransformFactory: Unable to convert UTF8 encoded password.")}g=stringToBytes(a)}if(5!==i)p=this.#Me(f,g,c,l,h,u,n,d);else{const t=s.subarray(32,40),a=s.subarray(40,48),r=o.subarray(0,48),i=o.subarray(32,40),n=o.subarray(40,48),h=stringToBytes(e.get("OE")),d=stringToBytes(e.get("UE")),f=stringToBytes(e.get("Perms"));p=this.#Oe(u,g,c,t,a,r,l,i,n,h,d,f)}if(!p){if(!a)throw new PasswordException("No password given",ha);const e=this.#De(g,c,u,n);p=this.#Me(f,e,c,l,h,u,n,d)}if(!p)throw new PasswordException("Incorrect Password",ua);if(4===i&&p.length<16){this.encryptionKey=new Uint8Array(16);this.encryptionKey.set(p)}else this.encryptionKey=p;if(i>=4){const t=e.get("CF");t instanceof Dict&&(t.suppressEncryption=!0);this.cf=t;this.stmf=e.get("StmF")||Name.get("Identity");this.strf=e.get("StrF")||Name.get("Identity");this.eff=e.get("EFF")||this.stmf}}createCipherTransform(e,t){if(4===this.algorithm||5===this.algorithm)return new CipherTransform(this.#Re(this.cf,this.strf,e,t,this.encryptionKey),this.#Re(this.cf,this.stmf,e,t,this.encryptionKey));const a=this.#Be(e,t,this.encryptionKey,!1),cipherConstructor=function(){return new ARCFourCipher(a)};return new CipherTransform(cipherConstructor,cipherConstructor)}}class XRef{#Ne=null;constructor(e,t){this.stream=e;this.pdfManager=t;this.entries=[];this._xrefStms=new Set;this._cacheMap=new Map;this._pendingRefs=new RefSet;this._newPersistentRefNum=null;this._newTemporaryRefNum=null;this._persistentRefsCache=null}getNewPersistentRef(e){null===this._newPersistentRefNum&&(this._newPersistentRefNum=this.entries.length||1);const t=this._newPersistentRefNum++;this._cacheMap.set(t,e);return Ref.get(t,0)}getNewTemporaryRef(){if(null===this._newTemporaryRefNum){this._newTemporaryRefNum=this.entries.length||1;if(this._newPersistentRefNum){this._persistentRefsCache=new Map;for(let e=this._newTemporaryRefNum;e<this._newPersistentRefNum;e++){this._persistentRefsCache.set(e,this._cacheMap.get(e));this._cacheMap.delete(e)}}}return Ref.get(this._newTemporaryRefNum++,0)}resetNewTemporaryRef(){this._newTemporaryRefNum=null;if(this._persistentRefsCache)for(const[e,t]of this._persistentRefsCache)this._cacheMap.set(e,t);this._persistentRefsCache=null}setStartXRef(e){this.startXRefQueue=[e]}parse(e=!1){let t,a,r;if(e){warn("Indexing all PDF objects");t=this.indexObjects()}else t=this.readXRef();t.assignXref(this);this.trailer=t;try{a=t.get("Encrypt")}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Encrypt" reference: "${e}".`)}if(a instanceof Dict){const e=t.get("ID"),r=e?.length?e[0]:"";a.suppressEncryption=!0;this.encrypt=new CipherTransformFactory(a,r,this.pdfManager.password)}try{r=t.get("Root")}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Root" reference: "${e}".`)}if(r instanceof Dict)try{if(r.get("Pages")instanceof Dict){this.root=r;return}}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Pages" reference: "${e}".`)}if(!e)throw new XRefParseException;throw new InvalidPDFException("Invalid Root reference.")}processXRefTable(e){"tableState"in this||(this.tableState={entryNum:0,streamPos:e.lexer.stream.pos,parserBuf1:e.buf1,parserBuf2:e.buf2});if(!isCmd(this.readXRefTable(e),"trailer"))throw new FormatError("Invalid XRef table: could not find trailer dictionary");let t=e.getObj();t instanceof Dict||!t.dict||(t=t.dict);if(!(t instanceof Dict))throw new FormatError("Invalid XRef table: could not parse trailer dictionary");delete this.tableState;return t}readXRefTable(e){const t=e.lexer.stream,a=this.tableState;t.pos=a.streamPos;e.buf1=a.parserBuf1;e.buf2=a.parserBuf2;let r;for(;;){if(!("firstEntryNum"in a)||!("entryCount"in a)){if(isCmd(r=e.getObj(),"trailer"))break;a.firstEntryNum=r;a.entryCount=e.getObj()}let i=a.firstEntryNum;const n=a.entryCount;if(!Number.isInteger(i)||!Number.isInteger(n))throw new FormatError("Invalid XRef table: wrong types in subsection header");for(let r=a.entryNum;r<n;r++){a.streamPos=t.pos;a.entryNum=r;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;const s={};s.offset=e.getObj();s.gen=e.getObj();const o=e.getObj();if(o instanceof Cmd)switch(o.cmd){case"f":s.free=!0;break;case"n":s.uncompressed=!0}if(!Number.isInteger(s.offset)||!Number.isInteger(s.gen)||!s.free&&!s.uncompressed)throw new FormatError(`Invalid entry in XRef subsection: ${i}, ${n}`);0===r&&s.free&&1===i&&(i=0);this.entries[r+i]||(this.entries[r+i]=s)}a.entryNum=0;a.streamPos=t.pos;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;delete a.firstEntryNum;delete a.entryCount}if(this.entries[0]&&!this.entries[0].free)throw new FormatError("Invalid XRef table: unexpected first object");return r}processXRefStream(e){if(!("streamState"in this)){const{dict:t,pos:a}=e,r=t.get("W"),i=t.get("Index")||[0,t.get("Size")];this.streamState={entryRanges:i,byteWidths:r,entryNum:0,streamPos:a}}this.readXRefStream(e);delete this.streamState;return e.dict}readXRefStream(e){const t=this.streamState;e.pos=t.streamPos;const[a,r,i]=t.byteWidths,n=t.entryRanges;for(;n.length>0;){const[s,o]=n;if(!Number.isInteger(s)||!Number.isInteger(o))throw new FormatError(`Invalid XRef range fields: ${s}, ${o}`);if(!Number.isInteger(a)||!Number.isInteger(r)||!Number.isInteger(i))throw new FormatError(`Invalid XRef entry fields length: ${s}, ${o}`);for(let n=t.entryNum;n<o;++n){t.entryNum=n;t.streamPos=e.pos;let o=0,c=0,l=0;for(let t=0;t<a;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'type\'.");o=o<<8|t}0===a&&(o=1);for(let t=0;t<r;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'offset\'.");c=c<<8|t}for(let t=0;t<i;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'generation\'.");l=l<<8|t}const h={};h.offset=c;h.gen=l;switch(o){case 0:h.free=!0;break;case 1:h.uncompressed=!0;break;case 2:break;default:throw new FormatError(`Invalid XRef entry type: ${o}`)}this.entries[s+n]||(this.entries[s+n]=h)}t.entryNum=0;t.streamPos=e.pos;n.splice(0,2)}}indexObjects(){function readToken(e,t){let a="",r=e[t];for(;10!==r&&13!==r&&60!==r&&!(++t>=e.length);){a+=String.fromCharCode(r);r=e[t]}return a}function skipUntil(e,t,a){const r=a.length,i=e.length;let n=0;for(;t<i;){let i=0;for(;i<r&&e[t+i]===a[i];)++i;if(i>=r)break;t++;n++}return n}const e=/\\b(endobj|\\d+\\s+\\d+\\s+obj|xref|trailer\\s*<<)\\b/g,t=/\\b(startxref|\\d+\\s+\\d+\\s+obj)\\b/g,a=/^(\\d+)\\s+(\\d+)\\s+obj\\b/,r=new Uint8Array([116,114,97,105,108,101,114]),i=new Uint8Array([115,116,97,114,116,120,114,101,102]),n=new Uint8Array([47,88,82,101,102]);this.entries.length=0;this._cacheMap.clear();const s=this.stream;s.pos=0;const o=s.getBytes(),c=bytesToString(o),l=o.length;let h=s.start;const u=[],d=[];for(;h<l;){let f=o[h];if(9===f||10===f||13===f||32===f){++h;continue}if(37===f){do{++h;if(h>=l)break;f=o[h]}while(10!==f&&13!==f);continue}const g=readToken(o,h);let p;if(g.startsWith("xref")&&(4===g.length||/\\s/.test(g[4]))){h+=skipUntil(o,h,r);u.push(h);h+=skipUntil(o,h,i)}else if(p=a.exec(g)){const t=0|p[1],a=0|p[2],r=h+g.length;let i,u=!1;if(this.entries[t]){if(this.entries[t].gen===a)try{new Parser({lexer:new Lexer(s.makeSubStream(r))}).getObj();u=!0}catch(e){e instanceof ParserEOFException?warn(`indexObjects -- checking object (${g}): "${e}".`):u=!0}}else u=!0;u&&(this.entries[t]={offset:h-s.start,gen:a,uncompressed:!0});e.lastIndex=r;const f=e.exec(c);if(f){i=e.lastIndex+1-h;if("endobj"!==f[1]){warn(`indexObjects: Found "${f[1]}" inside of another "obj", caused by missing "endobj" -- trying to recover.`);i-=f[1].length+1}}else i=l-h;const m=o.subarray(h,h+i),b=skipUntil(m,0,n);if(b<i&&m[b+5]<64){d.push(h-s.start);this._xrefStms.add(h-s.start)}h+=i}else if(g.startsWith("trailer")&&(7===g.length||/\\s/.test(g[7]))){u.push(h);const e=h+g.length;let a;t.lastIndex=e;const r=t.exec(c);if(r){a=t.lastIndex+1-h;if("startxref"!==r[1]){warn(`indexObjects: Found "${r[1]}" after "trailer", caused by missing "startxref" -- trying to recover.`);a-=r[1].length+1}}else a=l-h;h+=a}else h+=g.length+1}for(const e of d){this.startXRefQueue.push(e);this.readXRef(!0)}const f=[];let g,p,m=!1;for(const e of u){s.pos=e;const t=new Parser({lexer:new Lexer(s),xref:this,allowStreams:!0,recoveryMode:!0});if(!isCmd(t.getObj(),"trailer"))continue;const a=t.getObj();if(a instanceof Dict){f.push(a);a.has("Encrypt")&&(m=!0)}}for(const e of[...f,"genFallback",...f]){if("genFallback"===e){if(!p)break;this._generationFallback=!0;continue}let t=!1;try{const a=e.get("Root");if(!(a instanceof Dict))continue;const r=a.get("Pages");if(!(r instanceof Dict))continue;const i=r.get("Count");Number.isInteger(i)&&(t=!0)}catch(e){p=e;continue}if(t&&(!m||e.has("Encrypt"))&&e.has("ID"))return e;g=e}if(g)return g;if(this.topDict)return this.topDict;if(!f.length)for(const[e,t]of this.entries.entries()){if(!t)continue;const a=Ref.get(e,t.gen);let r;try{r=this.fetch(a)}catch{continue}r instanceof BaseStream&&(r=r.dict);if(r instanceof Dict&&r.has("Root"))return r}throw new InvalidPDFException("Invalid PDF structure.")}readXRef(e=!1){const t=this.stream,a=new Set;for(;this.startXRefQueue.length;){try{const e=this.startXRefQueue[0];if(a.has(e)){warn("readXRef - skipping XRef table since it was already parsed.");this.startXRefQueue.shift();continue}a.add(e);t.pos=e+t.start;const r=new Parser({lexer:new Lexer(t),xref:this,allowStreams:!0});let i,n=r.getObj();if(isCmd(n,"xref")){i=this.processXRefTable(r);this.topDict||(this.topDict=i);n=i.get("XRefStm");if(Number.isInteger(n)&&!this._xrefStms.has(n)){this._xrefStms.add(n);this.startXRefQueue.push(n);this.#Ne??=n}}else{if(!Number.isInteger(n))throw new FormatError("Invalid XRef stream header");if(!(Number.isInteger(r.getObj())&&isCmd(r.getObj(),"obj")&&(n=r.getObj())instanceof BaseStream))throw new FormatError("Invalid XRef stream");i=this.processXRefStream(n);this.topDict||(this.topDict=i);if(!i)throw new FormatError("Failed to read XRef stream")}n=i.get("Prev");Number.isInteger(n)?this.startXRefQueue.push(n):n instanceof Ref&&this.startXRefQueue.push(n.num)}catch(e){if(e instanceof MissingDataException)throw e;info("(while reading XRef): "+e)}this.startXRefQueue.shift()}if(this.topDict)return this.topDict;if(!e)throw new XRefParseException}get lastXRefStreamPos(){return this.#Ne??(this._xrefStms.size>0?Math.max(...this._xrefStms):null)}getEntry(e){const t=this.entries[e];return t&&!t.free&&t.offset?t:null}fetchIfRef(e,t=!1){return e instanceof Ref?this.fetch(e,t):e}fetch(e,t=!1){if(!(e instanceof Ref))throw new Error("ref object is not a reference");const a=e.num,r=this._cacheMap.get(a);if(void 0!==r){r instanceof Dict&&!r.objId&&(r.objId=e.toString());return r}let i=this.getEntry(a);if(null===i)return i;if(this._pendingRefs.has(e)){this._pendingRefs.remove(e);warn(`Ignoring circular reference: ${e}.`);return ya}this._pendingRefs.put(e);try{i=i.uncompressed?this.fetchUncompressed(e,i,t):this.fetchCompressed(e,i,t);this._pendingRefs.remove(e)}catch(t){this._pendingRefs.remove(e);throw t}i instanceof Dict?i.objId=e.toString():i instanceof BaseStream&&(i.dict.objId=e.toString());return i}fetchUncompressed(e,t,a=!1){const r=e.gen;let i=e.num;if(t.gen!==r){const n=`Inconsistent generation in XRef: ${e}`;if(this._generationFallback&&t.gen<r){warn(n);return this.fetchUncompressed(Ref.get(i,t.gen),t,a)}throw new XRefEntryException(n)}const n=this.stream.makeSubStream(t.offset+this.stream.start),s=new Parser({lexer:new Lexer(n),xref:this,allowStreams:!0}),o=s.getObj(),c=s.getObj(),l=s.getObj();if(o!==i||c!==r||!(l instanceof Cmd))throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`);if("obj"!==l.cmd){if(l.cmd.startsWith("obj")){i=parseInt(l.cmd.substring(3),10);if(!Number.isNaN(i))return i}throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`)}(t=this.encrypt&&!a?s.getObj(this.encrypt.createCipherTransform(i,r)):s.getObj())instanceof BaseStream||this._cacheMap.set(i,t);return t}fetchCompressed(e,t,a=!1){const r=t.offset,i=this.fetch(Ref.get(r,0));if(!(i instanceof BaseStream))throw new FormatError("bad ObjStm stream");const n=i.dict.get("First"),s=i.dict.get("N");if(!Number.isInteger(n)||!Number.isInteger(s))throw new FormatError("invalid first and n parameters for ObjStm stream");let o=new Parser({lexer:new Lexer(i),xref:this,allowStreams:!0});const c=new Array(s),l=new Array(s);for(let e=0;e<s;++e){const t=o.getObj();if(!Number.isInteger(t))throw new FormatError(`invalid object number in the ObjStm stream: ${t}`);const a=o.getObj();if(!Number.isInteger(a))throw new FormatError(`invalid object offset in the ObjStm stream: ${a}`);c[e]=t;const i=this.getEntry(t);i?.offset===r&&i.gen!==e&&(i.gen=e);l[e]=a}const h=(i.start||0)+n,u=new Array(s);for(let e=0;e<s;++e){const t=e<s-1?l[e+1]-l[e]:void 0;if(t<0)throw new FormatError("Invalid offset in the ObjStm stream.");o=new Parser({lexer:new Lexer(i.makeSubStream(h+l[e],t,i.dict)),xref:this,allowStreams:!0});const a=o.getObj();u[e]=a;if(a instanceof BaseStream)continue;const n=c[e],d=this.entries[n];d&&d.offset===r&&d.gen===e&&this._cacheMap.set(n,a)}if(void 0===(t=u[t.gen]))throw new XRefEntryException(`Bad (compressed) XRef entry: ${e}`);return t}async fetchIfRefAsync(e,t){return e instanceof Ref?this.fetchAsync(e,t):e}async fetchAsync(e,t){try{return this.fetch(e,t)}catch(a){if(!(a instanceof MissingDataException))throw a;await this.pdfManager.requestRange(a.begin,a.end);return this.fetchAsync(e,t)}}getCatalogObj(){return this.root}}const yc=[0,0,612,792];class Page{#Ee=null;constructor({pdfManager:e,xref:t,pageIndex:a,pageDict:r,ref:i,globalIdFactory:n,fontCache:s,builtInCMapCache:o,standardFontDataCache:c,globalColorSpaceCache:l,globalImageCache:h,systemFontCache:u,nonBlendModesSet:d,xfaFactory:f}){this.pdfManager=e;this.pageIndex=a;this.pageDict=r;this.xref=t;this.ref=i;this.fontCache=s;this.builtInCMapCache=o;this.standardFontDataCache=c;this.globalColorSpaceCache=l;this.globalImageCache=h;this.systemFontCache=u;this.nonBlendModesSet=d;this.evaluatorOptions=e.evaluatorOptions;this.xfaFactory=f;const g={obj:0};this._localIdFactory=class extends n{static createObjId(){return`p${a}_${++g.obj}`}static getPageObjId(){return`p${i.toString()}`}}}#Pe(e){return new PartialEvaluator({xref:this.xref,handler:e,pageIndex:this.pageIndex,idFactory:this._localIdFactory,fontCache:this.fontCache,builtInCMapCache:this.builtInCMapCache,standardFontDataCache:this.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:this.globalImageCache,systemFontCache:this.systemFontCache,options:this.evaluatorOptions})}#Le(e,t=!1){const a=getInheritableProperty({dict:this.pageDict,key:e,getArray:t,stopWhenFound:!1});return Array.isArray(a)?1!==a.length&&a[0]instanceof Dict?Dict.merge({xref:this.xref,dictArray:a}):a[0]:a}get content(){return this.pageDict.getArray("Contents")}get resources(){const e=this.#Le("Resources");return shadow(this,"resources",e instanceof Dict?e:Dict.empty)}#je(e){if(this.xfaData)return this.xfaData.bbox;const t=lookupNormalRect(this.#Le(e,!0),null);if(t){if(t[2]-t[0]>0&&t[3]-t[1]>0)return t;warn(`Empty, or invalid, /${e} entry.`)}return null}get mediaBox(){return shadow(this,"mediaBox",this.#je("MediaBox")||yc)}get cropBox(){return shadow(this,"cropBox",this.#je("CropBox")||this.mediaBox)}get userUnit(){const e=this.pageDict.get("UserUnit");return shadow(this,"userUnit","number"==typeof e&&e>0?e:1)}get view(){const{cropBox:e,mediaBox:t}=this;if(e!==t&&!isArrayEqual(e,t)){const a=Util.intersect(e,t);if(a&&a[2]-a[0]>0&&a[3]-a[1]>0)return shadow(this,"view",a);warn("Empty /CropBox and /MediaBox intersection.")}return shadow(this,"view",t)}get rotate(){let e=this.#Le("Rotate")||0;e%90!=0?e=0:e>=360?e%=360:e<0&&(e=(e%360+360)%360);return shadow(this,"rotate",e)}#_e(e,t){if(!this.evaluatorOptions.ignoreErrors)throw e;warn(`getContentStream - ignoring sub-stream (${t}): "${e}".`)}async getContentStream(){const e=await this.pdfManager.ensure(this,"content");return e instanceof BaseStream?e:Array.isArray(e)?new StreamsSequenceStream(e,this.#_e.bind(this)):new NullStream}get xfaData(){return shadow(this,"xfaData",this.xfaFactory?{bbox:this.xfaFactory.getBoundingBox(this.pageIndex)}:null)}async#Ue(e,t,a){const r=[];for(const i of e)if(i.id){const e=Ref.fromString(i.id);if(!e){warn(`A non-linked annotation cannot be modified: ${i.id}`);continue}if(i.deleted){t.put(e,e);if(i.popupRef){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}continue}if(i.popup?.deleted){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}a?.put(e);i.ref=e;r.push(this.xref.fetchAsync(e).then((e=>{e instanceof Dict&&(i.oldAnnotation=e.clone())}),(()=>{warn(`Cannot fetch \\`oldAnnotation\\` for: ${e}.`)})));delete i.id}await Promise.all(r)}async saveNewAnnotations(e,t,a,r,i){if(this.xfaFactory)throw new Error("XFA: Cannot save new annotations.");const n=this.#Pe(e),s=new RefSetCache,o=new RefSet;await this.#Ue(a,s,o);const c=this.pageDict,l=this.annotations.filter((e=>!(e instanceof Ref&&s.has(e)))),h=await AnnotationFactory.saveNewAnnotations(n,t,a,r,i);for(const{ref:e}of h.annotations)e instanceof Ref&&!o.has(e)&&l.push(e);const u=c.clone();u.set("Annots",l);i.put(this.ref,{data:u});for(const e of s)i.put(e,{data:null})}async save(e,t,a,r){const i=this.#Pe(e),n=await this._parsedAnnotations,s=[];for(const e of n)s.push(e.save(i,t,a,r).catch((function(e){warn(`save - ignoring annotation data during "${t.name}" task: "${e}".`);return null})));return Promise.all(s)}async loadResources(e){await(this.#Ee??=this.pdfManager.ensure(this,"resources"));await ObjectLoader.load(this.resources,e,this.xref)}async#Xe(e,t){const a=e?.get("Resources");if(!(a instanceof Dict&&a.size))return this.resources;await ObjectLoader.load(a,t,this.xref);return Dict.merge({xref:this.xref,dictArray:[a,this.resources],mergeSubDicts:!0})}async getOperatorList({handler:e,sink:t,task:a,intent:r,cacheKey:i,annotationStorage:c=null,modifiedIds:d=null}){const g=this.getContentStream(),p=this.loadResources(Ia),m=this.#Pe(e),b=this.xfaFactory?null:getNewAnnotationsMap(c),y=b?.get(this.pageIndex);let w=Promise.resolve(null),x=null;if(y){const e=this.pdfManager.ensureDoc("annotationGlobals");let t;const r=new Set;for(const{bitmapId:e,bitmap:t}of y)!e||t||r.has(e)||r.add(e);const{isOffscreenCanvasSupported:i}=this.evaluatorOptions;if(r.size>0){const e=y.slice();for(const[t,a]of c)t.startsWith(f)&&a.bitmap&&r.has(a.bitmapId)&&e.push(a);t=AnnotationFactory.generateImages(e,this.xref,i)}else t=AnnotationFactory.generateImages(y,this.xref,i);x=new RefSet;w=Promise.all([e,this.#Ue(y,x,null)]).then((([e])=>e?AnnotationFactory.printNewAnnotations(e,m,a,y,t):null))}const S=Promise.all([g,p]).then((async([n])=>{const s=await this.#Xe(n.dict,Ia),o=new OperatorList(r,t);e.send("StartRenderPage",{transparency:m.hasBlendModes(s,this.nonBlendModesSet),pageIndex:this.pageIndex,cacheKey:i});await m.getOperatorList({stream:n,task:a,resources:s,operatorList:o});return o}));let[k,C,v]=await Promise.all([S,this._parsedAnnotations,w]);if(v){C=C.filter((e=>!(e.ref&&x.has(e.ref))));for(let e=0,t=v.length;e<t;e++){const a=v[e];if(a.refToReplace){const r=C.findIndex((e=>e.ref&&isRefsEqual(e.ref,a.refToReplace)));if(r>=0){C.splice(r,1,a);v.splice(e--,1);t--}}}C=C.concat(v)}if(0===C.length||r&h){k.flush(!0);return{length:k.totalLength}}const F=!!(r&l),T=!!(r&u),O=!!(r&n),M=!!(r&s),D=!!(r&o),R=[];for(const e of C)(O||M&&e.mustBeViewed(c,F)&&e.mustBeViewedWhenEditing(T,d)||D&&e.mustBePrinted(c))&&R.push(e.getOperatorList(m,a,r,c).catch((function(e){warn(`getOperatorList - ignoring annotation data during "${a.name}" task: "${e}".`);return{opList:null,separateForm:!1,separateCanvas:!1}})));const N=await Promise.all(R);let E=!1,L=!1;for(const{opList:e,separateForm:t,separateCanvas:a}of N){k.addOpList(e);E||=t;L||=a}k.flush(!0,{form:E,canvas:L});return{length:k.totalLength}}async extractTextContent({handler:e,task:t,includeMarkedContent:a,disableNormalization:r,sink:i,intersector:n=null}){const s=this.getContentStream(),o=this.loadResources(Ta),c=this.pdfManager.ensureCatalog("lang"),[l,,h]=await Promise.all([s,o,c]),u=await this.#Xe(l.dict,Ta);return this.#Pe(e).getTextContent({stream:l,task:t,resources:u,includeMarkedContent:a,disableNormalization:r,sink:i,viewBox:this.view,lang:h,intersector:n})}async getStructTree(){const e=await this.pdfManager.ensureCatalog("structTreeRoot");if(!e)return null;await this._parsedAnnotations;try{const t=await this.pdfManager.ensure(this,"_parseStructTree",[e]);return await this.pdfManager.ensure(t,"serializable")}catch(e){warn(`getStructTree: "${e}".`);return null}}_parseStructTree(e){const t=new StructTreePage(e,this.pageDict);t.parse(this.ref);return t}async getAnnotationsData(e,t,a){const r=await this._parsedAnnotations;if(0===r.length)return r;const i=[],c=[];let l;const h=!!(a&n),u=!!(a&s),d=!!(a&o),f=[];for(const a of r){const r=h||u&&a.viewable;(r||d&&a.printable)&&i.push(a.data);if(a.hasTextContent&&r){l??=this.#Pe(e);c.push(a.extractTextContent(l,t,[-1/0,-1/0,1/0,1/0]).catch((function(e){warn(`getAnnotationsData - ignoring textContent during "${t.name}" task: "${e}".`)})))}else a.overlaysTextContent&&r&&f.push(a)}if(f.length>0){const a=new Intersector(f);c.push(this.extractTextContent({handler:e,task:t,includeMarkedContent:!1,disableNormalization:!1,sink:null,viewBox:this.view,lang:null,intersector:a}).then((()=>{a.setText()})))}await Promise.all(c);return i}get annotations(){const e=this.#Le("Annots");return shadow(this,"annotations",Array.isArray(e)?e:[])}get _parsedAnnotations(){return shadow(this,"_parsedAnnotations",this.pdfManager.ensure(this,"annotations").then((async e=>{if(0===e.length)return e;const[t,a]=await Promise.all([this.pdfManager.ensureDoc("annotationGlobals"),this.pdfManager.ensureDoc("fieldObjects")]);if(!t)return[];const r=a?.orphanFields,i=[];for(const a of e)i.push(AnnotationFactory.create(this.xref,a,t,this._localIdFactory,!1,r,this.ref).catch((function(e){warn(`_parsedAnnotations: "${e}".`);return null})));const n=[];let s,o;for(const e of await Promise.all(i))e&&(e instanceof WidgetAnnotation?(o||=[]).push(e):e instanceof PopupAnnotation?(s||=[]).push(e):n.push(e));o&&n.push(...o);s&&n.push(...s);return n})))}get jsActions(){return shadow(this,"jsActions",collectActions(this.xref,this.pageDict,xe))}}const wc=new Uint8Array([37,80,68,70,45]),xc=new Uint8Array([115,116,97,114,116,120,114,101,102]),Sc=new Uint8Array([101,110,100,111,98,106]);function find(e,t,a=1024,r=!1){const i=t.length,n=e.peekBytes(a),s=n.length-i;if(s<=0)return!1;if(r){const a=i-1;let r=n.length-1;for(;r>=a;){let s=0;for(;s<i&&n[r-s]===t[a-s];)s++;if(s>=i){e.pos+=r-a;return!0}r--}}else{let a=0;for(;a<=s;){let r=0;for(;r<i&&n[a+r]===t[r];)r++;if(r>=i){e.pos+=a;return!0}a++}}return!1}class PDFDocument{#qe=new Map;#He=null;constructor(e,t){if(t.length<=0)throw new InvalidPDFException("The PDF file is empty, i.e. its size is zero bytes.");this.pdfManager=e;this.stream=t;this.xref=new XRef(t,e);const a={font:0};this._globalIdFactory=class{static getDocId(){return`g_${e.docId}`}static createFontId(){return"f"+ ++a.font}static createObjId(){unreachable("Abstract method `createObjId` called.")}static getPageObjId(){unreachable("Abstract method `getPageObjId` called.")}}}parse(e){this.xref.parse(e);this.catalog=new Catalog(this.pdfManager,this.xref)}get linearization(){let e=null;try{e=Linearization.create(this.stream)}catch(e){if(e instanceof MissingDataException)throw e;info(e)}return shadow(this,"linearization",e)}get startXRef(){const e=this.stream;let t=0;if(this.linearization){e.reset();if(find(e,Sc)){e.skip(6);let a=e.peekByte();for(;isWhiteSpace(a);){e.pos++;a=e.peekByte()}t=e.pos-e.start}}else{const a=1024,r=xc.length;let i=!1,n=e.end;for(;!i&&n>0;){n-=a-r;n<0&&(n=0);e.pos=n;i=find(e,xc,a,!0)}if(i){e.skip(9);let a;do{a=e.getByte()}while(isWhiteSpace(a));let r="";for(;a>=32&&a<=57;){r+=String.fromCharCode(a);a=e.getByte()}t=parseInt(r,10);isNaN(t)&&(t=0)}}return shadow(this,"startXRef",t)}checkHeader(){const e=this.stream;e.reset();if(!find(e,wc))return;e.moveStart();e.skip(wc.length);let t,a="";for(;(t=e.getByte())>32&&a.length<7;)a+=String.fromCharCode(t);Ca.test(a)?this.#He=a:warn(`Invalid PDF header version: ${a}`)}parseStartXRef(){this.xref.setStartXRef(this.startXRef)}get numPages(){let e=0;e=this.catalog.hasActualNumPages?this.catalog.numPages:this.xfaFactory?this.xfaFactory.getNumPages():this.linearization?this.linearization.numPages:this.catalog.numPages;return shadow(this,"numPages",e)}#We(e,t=0){return!!Array.isArray(e)&&e.every((e=>{if(!((e=this.xref.fetchIfRef(e))instanceof Dict))return!1;if(e.has("Kids")){if(++t>10){warn("#hasOnlyDocumentSignatures: maximum recursion depth reached");return!1}return this.#We(e.get("Kids"),t)}const a=isName(e.get("FT"),"Sig"),r=e.get("Rect"),i=Array.isArray(r)&&r.every((e=>0===e));return a&&i}))}#ze(e,t,a=new RefSet){if(Array.isArray(e))for(let r of e){if(r instanceof Ref){if(a.has(r))continue;a.put(r)}r=this.xref.fetchIfRef(r);if(!(r instanceof Dict))continue;if(r.has("Kids")){this.#ze(r.get("Kids"),t,a);continue}if(!isName(r.get("FT"),"Sig"))continue;const e=r.get("V");if(!(e instanceof Dict))continue;const i=e.get("SubFilter");i instanceof Name&&t.add(i.name)}}get _xfaStreams(){const{acroForm:e}=this.catalog;if(!e)return null;const t=e.get("XFA"),a=new Map(["xdp:xdp","template","datasets","config","connectionSet","localeSet","stylesheet","/xdp:xdp"].map((e=>[e,null])));if(t instanceof BaseStream&&!t.isEmpty){a.set("xdp:xdp",t);return a}if(!Array.isArray(t)||0===t.length)return null;for(let e=0,r=t.length;e<r;e+=2){let i;i=0===e?"xdp:xdp":e===r-2?"/xdp:xdp":t[e];if(!a.has(i))continue;const n=this.xref.fetchIfRef(t[e+1]);n instanceof BaseStream&&!n.isEmpty&&a.set(i,n)}return a}get xfaDatasets(){const e=this._xfaStreams;if(!e)return shadow(this,"xfaDatasets",null);for(const t of["datasets","xdp:xdp"]){const a=e.get(t);if(a)try{const e=stringToUTF8String(a.getString());return shadow(this,"xfaDatasets",new DatasetReader({[t]:e}))}catch{warn("XFA - Invalid utf-8 string.");break}}return shadow(this,"xfaDatasets",null)}get xfaData(){const e=this._xfaStreams;if(!e)return null;const t=Object.create(null);for(const[a,r]of e)if(r)try{t[a]=stringToUTF8String(r.getString())}catch{warn("XFA - Invalid utf-8 string.");return null}return t}get xfaFactory(){let e;this.pdfManager.enableXfa&&this.catalog.needsRendering&&this.formInfo.hasXfa&&!this.formInfo.hasAcroForm&&(e=this.xfaData);return shadow(this,"xfaFactory",e?new XFAFactory(e):null)}get isPureXfa(){return!!this.xfaFactory&&this.xfaFactory.isValid()}get htmlForXfa(){return this.xfaFactory?this.xfaFactory.getPages():null}async#$e(){const e=await this.pdfManager.ensureCatalog("xfaImages");e&&this.xfaFactory.setImages(e)}async#Ge(e,t){const a=await this.pdfManager.ensureCatalog("acroForm");if(!a)return;const r=await a.getAsync("DR");if(!(r instanceof Dict))return;await ObjectLoader.load(r,["Font"],this.xref);const i=r.get("Font");if(!(i instanceof Dict))return;const n=Object.assign(Object.create(null),this.pdfManager.evaluatorOptions,{useSystemFonts:!1}),{builtInCMapCache:s,fontCache:o,standardFontDataCache:c}=this.catalog,l=new PartialEvaluator({xref:this.xref,handler:e,pageIndex:-1,idFactory:this._globalIdFactory,fontCache:o,builtInCMapCache:s,standardFontDataCache:c,options:n}),h=new OperatorList,u=[],d={get font(){return u.at(-1)},set font(e){u.push(e)},clone(){return this}},parseFont=(e,a,i)=>l.handleSetFont(r,[Name.get(e),1],null,h,t,d,a,i).catch((e=>{warn(`loadXfaFonts: "${e}".`);return null})),f=[];for(const[e,t]of i){const a=t.get("FontDescriptor");if(!(a instanceof Dict))continue;let r=a.get("FontFamily");r=r.replaceAll(/[ ]+(\\d)/g,"$1");const i={fontFamily:r,fontWeight:a.get("FontWeight"),italicAngle:-a.get("ItalicAngle")};validateCSSFont(i)&&f.push(parseFont(e,null,i))}await Promise.all(f);const g=this.xfaFactory.setFonts(u);if(!g)return;n.ignoreErrors=!0;f.length=0;u.length=0;const p=new Set;for(const e of g)getXfaFontName(`${e}-Regular`)||p.add(e);p.size&&g.push("PdfJS-Fallback");for(const e of g)if(!p.has(e))for(const t of[{name:"Regular",fontWeight:400,italicAngle:0},{name:"Bold",fontWeight:700,italicAngle:0},{name:"Italic",fontWeight:400,italicAngle:12},{name:"BoldItalic",fontWeight:700,italicAngle:12}]){const a=`${e}-${t.name}`;f.push(parseFont(a,getXfaFontDict(a),{fontFamily:e,fontWeight:t.fontWeight,italicAngle:t.italicAngle}))}await Promise.all(f);this.xfaFactory.appendFonts(u,p)}loadXfaResources(e,t){return Promise.all([this.#Ge(e,t).catch((()=>{})),this.#$e()])}serializeXfaData(e){return this.xfaFactory?this.xfaFactory.serializeData(e):null}get version(){return this.catalog.version||this.#He}get formInfo(){const e={hasFields:!1,hasAcroForm:!1,hasXfa:!1,hasSignatures:!1},{acroForm:t}=this.catalog;if(!t)return shadow(this,"formInfo",e);try{const a=t.get("Fields"),r=Array.isArray(a)&&a.length>0;e.hasFields=r;const i=t.get("XFA");e.hasXfa=Array.isArray(i)&&i.length>0||i instanceof BaseStream&&!i.isEmpty;const n=!!(1&t.get("SigFlags")),s=n&&this.#We(a);e.hasAcroForm=r&&!s;e.hasSignatures=n}catch(e){if(e instanceof MissingDataException)throw e;warn(`Cannot fetch form information: "${e}".`)}return shadow(this,"formInfo",e)}get documentInfo(){const{catalog:e,formInfo:t,xref:a}=this,r={PDFFormatVersion:this.version,Language:e.lang,EncryptFilterName:a.encrypt?.filterName??null,IsLinearized:!!this.linearization,IsAcroFormPresent:t.hasAcroForm,IsXFAPresent:t.hasXfa,IsCollectionPresent:!!e.collection,IsSignaturesPresent:t.hasSignatures};let i;try{i=a.trailer.get("Info")}catch(e){if(e instanceof MissingDataException)throw e;info("The document information dictionary is invalid.")}if(!(i instanceof Dict))return shadow(this,"documentInfo",r);for(const[e,t]of i){switch(e){case"Title":case"Author":case"Subject":case"Keywords":case"Creator":case"Producer":case"CreationDate":case"ModDate":if("string"==typeof t){r[e]=stringToPDFString(t);continue}break;case"Trapped":if(t instanceof Name){r[e]=t;continue}break;default:let a;switch(typeof t){case"string":a=stringToPDFString(t);break;case"number":case"boolean":a=t;break;default:t instanceof Name&&(a=t)}if(void 0===a){warn(`Bad value, for custom key "${e}", in Info: ${t}.`);continue}r.Custom??=Object.create(null);r.Custom[e]=a;continue}warn(`Bad value, for key "${e}", in Info: ${t}.`)}return shadow(this,"documentInfo",r)}get fingerprints(){const e="\\0".repeat(16);function validate(t){return"string"==typeof t&&16===t.length&&t!==e}const t=this.xref.trailer.get("ID");let a,r;if(Array.isArray(t)&&validate(t[0])){a=stringToBytes(t[0]);t[1]!==t[0]&&validate(t[1])&&(r=stringToBytes(t[1]))}else a=calculateMD5(this.stream.getByteRange(0,1024),0,1024);return shadow(this,"fingerprints",[toHexUtil(a),r?toHexUtil(r):null])}async#Ve(e){const{catalog:t,linearization:a,xref:r}=this,i=Ref.get(a.objectNumberFirst,0);try{const e=await r.fetchAsync(i);if(e instanceof Dict){let a=e.getRaw("Type");a instanceof Ref&&(a=await r.fetchAsync(a));if(isName(a,"Page")||!e.has("Type")&&!e.has("Kids")&&e.has("Contents")){t.pageKidsCountCache.has(i)||t.pageKidsCountCache.put(i,1);t.pageIndexCache.has(i)||t.pageIndexCache.put(i,0);return[e,i]}}throw new FormatError("The Linearization dictionary doesn\'t point to a valid Page dictionary.")}catch(a){warn(`_getLinearizationPage: "${a.message}".`);return t.getPageDict(e)}}getPage(e){const t=this.#qe.get(e);if(t)return t;const{catalog:a,linearization:r,xfaFactory:i}=this;let n;n=i?Promise.resolve([Dict.empty,null]):r?.pageFirst===e?this.#Ve(e):a.getPageDict(e);n=n.then((([t,r])=>new Page({pdfManager:this.pdfManager,xref:this.xref,pageIndex:e,pageDict:t,ref:r,globalIdFactory:this._globalIdFactory,fontCache:a.fontCache,builtInCMapCache:a.builtInCMapCache,standardFontDataCache:a.standardFontDataCache,globalColorSpaceCache:a.globalColorSpaceCache,globalImageCache:a.globalImageCache,systemFontCache:a.systemFontCache,nonBlendModesSet:a.nonBlendModesSet,xfaFactory:i})));this.#qe.set(e,n);return n}async checkFirstPage(e=!1){if(!e)try{await this.getPage(0)}catch(e){if(e instanceof XRefEntryException){this.#qe.delete(0);await this.cleanup();throw new XRefParseException}}}async checkLastPage(e=!1){const{catalog:t,pdfManager:a}=this;t.setActualNumPages();let r;try{await Promise.all([a.ensureDoc("xfaFactory"),a.ensureDoc("linearization"),a.ensureCatalog("numPages")]);if(this.xfaFactory)return;r=this.linearization?this.linearization.numPages:t.numPages;if(!Number.isInteger(r))throw new FormatError("Page count is not an integer.");if(r<=1)return;await this.getPage(r-1)}catch(i){this.#qe.delete(r-1);await this.cleanup();if(i instanceof XRefEntryException&&!e)throw new XRefParseException;warn(`checkLastPage - invalid /Pages tree /Count: ${r}.`);let n;try{n=await t.getAllPageDicts(e)}catch(a){if(a instanceof XRefEntryException&&!e)throw new XRefParseException;t.setActualNumPages(1);return}for(const[e,[r,i]]of n){let n;if(r instanceof Error){n=Promise.reject(r);n.catch((()=>{}))}else n=Promise.resolve(new Page({pdfManager:a,xref:this.xref,pageIndex:e,pageDict:r,ref:i,globalIdFactory:this._globalIdFactory,fontCache:t.fontCache,builtInCMapCache:t.builtInCMapCache,standardFontDataCache:t.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:t.globalImageCache,systemFontCache:t.systemFontCache,nonBlendModesSet:t.nonBlendModesSet,xfaFactory:null}));this.#qe.set(e,n)}t.setActualNumPages(n.size)}}async fontFallback(e,t){const{catalog:a,pdfManager:r}=this;for(const i of await Promise.all(a.fontCache))if(i.loadedName===e){i.fallback(t,r.evaluatorOptions);return}}async cleanup(e=!1){return this.catalog?this.catalog.cleanup(e):clearGlobalCaches()}async#Ke(e,t,a,r,i,n,s){const{xref:o}=this;if(!(a instanceof Ref)||n.has(a))return;n.put(a);const c=await o.fetchAsync(a);if(!(c instanceof Dict))return;let l=await c.getAsync("Subtype");l=l instanceof Name?l.name:null;if("Link"===l)return;if(c.has("T")){const t=stringToPDFString(await c.getAsync("T"));e=""===e?t:`${e}.${t}`}else{let a=c;for(;;){a=a.getRaw("Parent")||t;if(a instanceof Ref){if(n.has(a))break;a=await o.fetchAsync(a)}if(!(a instanceof Dict))break;if(a.has("T")){const t=stringToPDFString(await a.getAsync("T"));e=""===e?t:`${e}.${t}`;break}}}t&&!c.has("Parent")&&isName(c.get("Subtype"),"Widget")&&s.put(a,t);r.has(e)||r.set(e,[]);r.get(e).push(AnnotationFactory.create(o,a,i,null,!0,s,null).then((e=>e?.getFieldObject())).catch((function(e){warn(`#collectFieldObjects: "${e}".`);return null})));if(!c.has("Kids"))return;const h=await c.getAsync("Kids");if(Array.isArray(h))for(const t of h)await this.#Ke(e,a,t,r,i,n,s)}get fieldObjects(){return shadow(this,"fieldObjects",this.pdfManager.ensureDoc("formInfo").then((async e=>{if(!e.hasFields)return null;const t=await this.annotationGlobals;if(!t)return null;const{acroForm:a}=t,r=new RefSet,i=Object.create(null),n=new Map,s=new RefSetCache;for(const e of a.get("Fields"))await this.#Ke("",null,e,n,t,r,s);const o=[];for(const[e,t]of n)o.push(Promise.all(t).then((t=>{(t=t.filter((e=>!!e))).length>0&&(i[e]=t)})));await Promise.all(o);return{allFields:objectSize(i)>0?i:null,orphanFields:s}})))}get hasJSActions(){return shadow(this,"hasJSActions",this.pdfManager.ensureDoc("_parseHasJSActions"))}async _parseHasJSActions(){const[e,t]=await Promise.all([this.pdfManager.ensureCatalog("jsActions"),this.pdfManager.ensureDoc("fieldObjects")]);return!!e||!!t?.allFields&&Object.values(t.allFields).some((e=>e.some((e=>null!==e.actions))))}get calculationOrderIds(){const e=this.catalog.acroForm?.get("CO");if(!Array.isArray(e)||0===e.length)return shadow(this,"calculationOrderIds",null);const t=[];for(const a of e)a instanceof Ref&&t.push(a.toString());return shadow(this,"calculationOrderIds",t.length?t:null)}get annotationGlobals(){return shadow(this,"annotationGlobals",AnnotationFactory.createGlobals(this.pdfManager))}}class BasePdfManager{constructor({docBaseUrl:e,docId:t,enableXfa:a,evaluatorOptions:r,handler:i,password:n}){this._docBaseUrl=function parseDocBaseUrl(e){if(e){const t=createValidAbsoluteUrl(e);if(t)return t.href;warn(`Invalid absolute docBaseUrl: "${e}".`)}return null}(e);this._docId=t;this._password=n;this.enableXfa=a;r.isOffscreenCanvasSupported&&=FeatureTest.isOffscreenCanvasSupported;r.isImageDecoderSupported&&=FeatureTest.isImageDecoderSupported;this.evaluatorOptions=Object.freeze(r);ImageResizer.setOptions(r);JpegStream.setOptions(r);OperatorList.setOptions(r);const s={...r,handler:i};JpxImage.setOptions(s);IccColorSpace.setOptions(s);CmykICCBasedCS.setOptions(s)}get docId(){return this._docId}get password(){return this._password}get docBaseUrl(){return this._docBaseUrl}ensureDoc(e,t){return this.ensure(this.pdfDocument,e,t)}ensureXRef(e,t){return this.ensure(this.pdfDocument.xref,e,t)}ensureCatalog(e,t){return this.ensure(this.pdfDocument.catalog,e,t)}getPage(e){return this.pdfDocument.getPage(e)}fontFallback(e,t){return this.pdfDocument.fontFallback(e,t)}cleanup(e=!1){return this.pdfDocument.cleanup(e)}async ensure(e,t,a){unreachable("Abstract method `ensure` called")}requestRange(e,t){unreachable("Abstract method `requestRange` called")}requestLoadedStream(e=!1){unreachable("Abstract method `requestLoadedStream` called")}sendProgressiveData(e){unreachable("Abstract method `sendProgressiveData` called")}updatePassword(e){this._password=e}terminate(e){unreachable("Abstract method `terminate` called")}}class LocalPdfManager extends BasePdfManager{constructor(e){super(e);const t=new Stream(e.source);this.pdfDocument=new PDFDocument(this,t);this._loadedStreamPromise=Promise.resolve(t)}async ensure(e,t,a){const r=e[t];return"function"==typeof r?r.apply(e,a):r}requestRange(e,t){return Promise.resolve()}requestLoadedStream(e=!1){return this._loadedStreamPromise}terminate(e){}}class NetworkPdfManager extends BasePdfManager{constructor(e){super(e);this.streamManager=new ChunkedStreamManager(e.source,{msgHandler:e.handler,length:e.length,disableAutoFetch:e.disableAutoFetch,rangeChunkSize:e.rangeChunkSize});this.pdfDocument=new PDFDocument(this,this.streamManager.getStream())}async ensure(e,t,a){try{const r=e[t];return"function"==typeof r?r.apply(e,a):r}catch(r){if(!(r instanceof MissingDataException))throw r;await this.requestRange(r.begin,r.end);return this.ensure(e,t,a)}}requestRange(e,t){return this.streamManager.requestRange(e,t)}requestLoadedStream(e=!1){return this.streamManager.requestAllChunks(e)}sendProgressiveData(e){this.streamManager.onReceiveData({chunk:e})}terminate(e){this.streamManager.abort(e)}}const Ac=1,kc=2,Cc=1,vc=2,Fc=3,Ic=4,Tc=5,Oc=6,Mc=7,Dc=8;function onFn(){}function wrapReason(e){if(e instanceof AbortException||e instanceof InvalidPDFException||e instanceof PasswordException||e instanceof ResponseException||e instanceof UnknownErrorException)return e;e instanceof Error||"object"==typeof e&&null!==e||unreachable(\'wrapReason: Expected "reason" to be a (possibly cloned) Error.\');switch(e.name){case"AbortException":return new AbortException(e.message);case"InvalidPDFException":return new InvalidPDFException(e.message);case"PasswordException":return new PasswordException(e.message,e.code);case"ResponseException":return new ResponseException(e.message,e.status,e.missing);case"UnknownErrorException":return new UnknownErrorException(e.message,e.details)}return new UnknownErrorException(e.message,e.toString())}class MessageHandler{#Je=new AbortController;constructor(e,t,a){this.sourceName=e;this.targetName=t;this.comObj=a;this.callbackId=1;this.streamId=1;this.streamSinks=Object.create(null);this.streamControllers=Object.create(null);this.callbackCapabilities=Object.create(null);this.actionHandler=Object.create(null);a.addEventListener("message",this.#Ye.bind(this),{signal:this.#Je.signal})}#Ye({data:e}){if(e.targetName!==this.sourceName)return;if(e.stream){this.#Ze(e);return}if(e.callback){const t=e.callbackId,a=this.callbackCapabilities[t];if(!a)throw new Error(`Cannot resolve callback ${t}`);delete this.callbackCapabilities[t];if(e.callback===Ac)a.resolve(e.data);else{if(e.callback!==kc)throw new Error("Unexpected callback case");a.reject(wrapReason(e.reason))}return}const t=this.actionHandler[e.action];if(!t)throw new Error(`Unknown action from worker: ${e.action}`);if(e.callbackId){const a=this.sourceName,r=e.sourceName,i=this.comObj;Promise.try(t,e.data).then((function(t){i.postMessage({sourceName:a,targetName:r,callback:Ac,callbackId:e.callbackId,data:t})}),(function(t){i.postMessage({sourceName:a,targetName:r,callback:kc,callbackId:e.callbackId,reason:wrapReason(t)})}))}else e.streamId?this.#Qe(e):t(e.data)}on(e,t){const a=this.actionHandler;if(a[e])throw new Error(`There is already an actionName called "${e}"`);a[e]=t}send(e,t,a){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,data:t},a)}sendWithPromise(e,t,a){const r=this.callbackId++,i=Promise.withResolvers();this.callbackCapabilities[r]=i;try{this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,callbackId:r,data:t},a)}catch(e){i.reject(e)}return i.promise}sendWithStream(e,t,a,r){const i=this.streamId++,n=this.sourceName,s=this.targetName,o=this.comObj;return new ReadableStream({start:a=>{const c=Promise.withResolvers();this.streamControllers[i]={controller:a,startCall:c,pullCall:null,cancelCall:null,isClosed:!1};o.postMessage({sourceName:n,targetName:s,action:e,streamId:i,data:t,desiredSize:a.desiredSize},r);return c.promise},pull:e=>{const t=Promise.withResolvers();this.streamControllers[i].pullCall=t;o.postMessage({sourceName:n,targetName:s,stream:Oc,streamId:i,desiredSize:e.desiredSize});return t.promise},cancel:e=>{assert(e instanceof Error,"cancel must have a valid reason");const t=Promise.withResolvers();this.streamControllers[i].cancelCall=t;this.streamControllers[i].isClosed=!0;o.postMessage({sourceName:n,targetName:s,stream:Cc,streamId:i,reason:wrapReason(e)});return t.promise}},a)}#Qe(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this,s=this.actionHandler[e.action],o={enqueue(e,n=1,s){if(this.isCancelled)return;const o=this.desiredSize;this.desiredSize-=n;if(o>0&&this.desiredSize<=0){this.sinkCapability=Promise.withResolvers();this.ready=this.sinkCapability.promise}i.postMessage({sourceName:a,targetName:r,stream:Ic,streamId:t,chunk:e},s)},close(){if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Fc,streamId:t});delete n.streamSinks[t]}},error(e){assert(e instanceof Error,"error must have a valid reason");if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Tc,streamId:t,reason:wrapReason(e)})}},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:e.desiredSize,ready:null};o.sinkCapability.resolve();o.ready=o.sinkCapability.promise;this.streamSinks[t]=o;Promise.try(s,e.data,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,reason:wrapReason(e)})}))}#Ze(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this.streamControllers[t],s=this.streamSinks[t];switch(e.stream){case Dc:e.success?n.startCall.resolve():n.startCall.reject(wrapReason(e.reason));break;case Mc:e.success?n.pullCall.resolve():n.pullCall.reject(wrapReason(e.reason));break;case Oc:if(!s){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0});break}s.desiredSize<=0&&e.desiredSize>0&&s.sinkCapability.resolve();s.desiredSize=e.desiredSize;Promise.try(s.onPull||onFn).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,reason:wrapReason(e)})}));break;case Ic:assert(n,"enqueue should have stream controller");if(n.isClosed)break;n.controller.enqueue(e.chunk);break;case Fc:assert(n,"close should have stream controller");if(n.isClosed)break;n.isClosed=!0;n.controller.close();this.#et(n,t);break;case Tc:assert(n,"error should have stream controller");n.controller.error(wrapReason(e.reason));this.#et(n,t);break;case vc:e.success?n.cancelCall.resolve():n.cancelCall.reject(wrapReason(e.reason));this.#et(n,t);break;case Cc:if(!s)break;const o=wrapReason(e.reason);Promise.try(s.onCancel||onFn,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,reason:wrapReason(e)})}));s.sinkCapability.reject(o);s.isCancelled=!0;delete this.streamSinks[t];break;default:throw new Error("Unexpected stream case")}}async#et(e,t){await Promise.allSettled([e.startCall?.promise,e.pullCall?.promise,e.cancelCall?.promise]);delete this.streamControllers[t]}destroy(){this.#Je?.abort();this.#Je=null}}async function writeObject(e,t,a,{encrypt:r=null}){const i=r?.createCipherTransform(e.num,e.gen);a.push(`${e.num} ${e.gen} obj\\n`);t instanceof Dict?await writeDict(t,a,i):t instanceof BaseStream?await writeStream(t,a,i):(Array.isArray(t)||ArrayBuffer.isView(t))&&await writeArray(t,a,i);a.push("\\nendobj\\n")}async function writeDict(e,t,a){t.push("<<");for(const r of e.getKeys()){t.push(` /${escapePDFName(r)} `);await writeValue(e.getRaw(r),t,a)}t.push(">>")}async function writeStream(e,t,a){let r=e.getBytes();const{dict:i}=e,[n,s]=await Promise.all([i.getAsync("Filter"),i.getAsync("DecodeParms")]),o=isName(Array.isArray(n)?await i.xref.fetchIfRefAsync(n[0]):n,"FlateDecode");if(r.length>=256||o)try{const e=new CompressionStream("deflate"),t=e.writable.getWriter();await t.ready;t.write(r).then((async()=>{await t.ready;await t.close()})).catch((()=>{}));const a=await new Response(e.readable).arrayBuffer();r=new Uint8Array(a);let c,l;if(n){if(!o){c=Array.isArray(n)?[Name.get("FlateDecode"),...n]:[Name.get("FlateDecode"),n];s&&(l=Array.isArray(s)?[null,...s]:[null,s])}}else c=Name.get("FlateDecode");c&&i.set("Filter",c);l&&i.set("DecodeParms",l)}catch(e){info(`writeStream - cannot compress data: "${e}".`)}let c=bytesToString(r);a&&(c=a.encryptString(c));i.set("Length",c.length);await writeDict(i,t,a);t.push(" stream\\n",c,"\\nendstream")}async function writeArray(e,t,a){t.push("[");let r=!0;for(const i of e){r?r=!1:t.push(" ");await writeValue(i,t,a)}t.push("]")}async function writeValue(e,t,a){if(e instanceof Name)t.push(`/${escapePDFName(e.name)}`);else if(e instanceof Ref)t.push(`${e.num} ${e.gen} R`);else if(Array.isArray(e)||ArrayBuffer.isView(e))await writeArray(e,t,a);else if("string"==typeof e){a&&(e=a.encryptString(e));t.push(`(${escapeString(e)})`)}else"number"==typeof e?t.push(numberToString(e)):"boolean"==typeof e?t.push(e.toString()):e instanceof Dict?await writeDict(e,t,a):e instanceof BaseStream?await writeStream(e,t,a):null===e?t.push("null"):warn(`Unhandled value in writer: ${typeof e}, please file a bug.`)}function writeInt(e,t,a,r){for(let i=t+a-1;i>a-1;i--){r[i]=255&e;e>>=8}return a+t}function writeString(e,t,a){const r=e.length;for(let i=0;i<r;i++)a[t+i]=255&e.charCodeAt(i);return t+r}function updateXFA({xfaData:e,xfaDatasetsRef:t,changes:a,xref:r}){if(null===e){e=function writeXFADataForAcroform(e,t){const a=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e);for(const{xfa:e}of t){if(!e)continue;const{path:t,value:r}=e;if(!t)continue;const i=parseXFAPath(t);let n=a.documentElement.searchNode(i,0);!n&&i.length>1&&(n=a.documentElement.searchNode([i.at(-1)],0));n?n.childNodes=Array.isArray(r)?r.map((e=>new SimpleDOMNode("value",e))):[new SimpleDOMNode("#text",r)]:warn(`Node not found for path: ${t}`)}const r=[];a.documentElement.dump(r);return r.join("")}(r.fetchIfRef(t).getString(),a)}const i=new StringStream(e);i.dict=new Dict(r);i.dict.setIfName("Type","EmbeddedFile");a.put(t,{data:i})}function getIndexes(e){const t=[];for(const{ref:a}of e)a.num===t.at(-2)+t.at(-1)?t[t.length-1]+=1:t.push(a.num,1);return t}function computeIDs(e,t,a){if(Array.isArray(t.fileIds)&&t.fileIds.length>0){const r=function computeMD5(e,t){const a=Math.floor(Date.now()/1e3),r=t.filename||"",i=[a.toString(),r,e.toString(),...t.infoMap.values()],n=Math.sumPrecise(i.map((e=>e.length))),s=new Uint8Array(n);let o=0;for(const e of i)o=writeString(e,o,s);return bytesToString(calculateMD5(s,0,s.length))}(e,t);a.set("ID",[t.fileIds[0],r])}}async function incrementalUpdate({originalData:e,xrefInfo:t,changes:a,xref:r=null,hasXfa:i=!1,xfaDatasetsRef:n=null,hasXfaDatasetsEntry:s=!1,needAppearances:o,acroFormRef:c=null,acroForm:l=null,xfaData:h=null,useXrefStream:u=!1}){await async function updateAcroform({xref:e,acroForm:t,acroFormRef:a,hasXfa:r,hasXfaDatasetsEntry:i,xfaDatasetsRef:n,needAppearances:s,changes:o}){!r||i||n||warn("XFA - Cannot save it");if(!s&&(!r||!n||i))return;const c=t.clone();if(r&&!i){const e=t.get("XFA").slice();e.splice(2,0,"datasets");e.splice(3,0,n);c.set("XFA",e)}s&&c.set("NeedAppearances",!0);o.put(a,{data:c})}({xref:r,acroForm:l,acroFormRef:c,hasXfa:i,hasXfaDatasetsEntry:s,xfaDatasetsRef:n,needAppearances:o,changes:a});i&&updateXFA({xfaData:h,xfaDatasetsRef:n,changes:a,xref:r});const d=function getTrailerDict(e,t,a){const r=new Dict(null);r.set("Prev",e.startXRef);const i=e.newRef;if(a){t.put(i,{data:""});r.set("Size",i.num+1);r.setIfName("Type","XRef")}else r.set("Size",i.num);null!==e.rootRef&&r.set("Root",e.rootRef);null!==e.infoRef&&r.set("Info",e.infoRef);null!==e.encryptRef&&r.set("Encrypt",e.encryptRef);return r}(t,a,u),f=[],g=await async function writeChanges(e,t,a=[]){const r=[];for(const[i,{data:n}]of e.items())if(null!==n&&"string"!=typeof n){await writeObject(i,n,a,t);r.push({ref:i,data:a.join("")});a.length=0}else r.push({ref:i,data:n});return r.sort(((e,t)=>e.ref.num-t.ref.num))}(a,r,f);let p=e.length;const m=e.at(-1);if(10!==m&&13!==m){f.push("\\n");p+=1}for(const{data:e}of g)null!==e&&f.push(e);await(u?async function getXRefStreamTable(e,t,a,r,i){const n=[];let s=0,o=0;for(const{ref:e,data:r}of a){let a;s=Math.max(s,t);if(null!==r){a=Math.min(e.gen,65535);n.push([1,t,a]);t+=r.length}else{a=Math.min(e.gen+1,65535);n.push([0,0,a])}o=Math.max(o,a)}r.set("Index",getIndexes(a));const c=[1,getSizeInBytes(s),getSizeInBytes(o)];r.set("W",c);computeIDs(t,e,r);const l=Math.sumPrecise(c),h=new Uint8Array(l*n.length),u=new Stream(h);u.dict=r;let d=0;for(const[e,t,a]of n){d=writeInt(e,c[0],d,h);d=writeInt(t,c[1],d,h);d=writeInt(a,c[2],d,h)}await writeObject(e.newRef,u,i,{});i.push("startxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f):async function getXRefTable(e,t,a,r,i){i.push("xref\\n");const n=getIndexes(a);let s=0;for(const{ref:e,data:r}of a){if(e.num===n[s]){i.push(`${n[s]} ${n[s+1]}\\n`);s+=2}if(null!==r){i.push(`${t.toString().padStart(10,"0")} ${Math.min(e.gen,65535).toString().padStart(5,"0")} n\\r\\n`);t+=r.length}else i.push(`0000000000 ${Math.min(e.gen+1,65535).toString().padStart(5,"0")} f\\r\\n`)}computeIDs(t,e,r);i.push("trailer\\n");await writeDict(r,i);i.push("\\nstartxref\\n",t.toString(),"\\n%%EOF\\n")}(t,p,g,d,f));const b=e.length+Math.sumPrecise(f.map((e=>e.length))),y=new Uint8Array(b);y.set(e);let w=e.length;for(const e of f)w=writeString(e,w,y);return y}class PDFWorkerStream{constructor(e){this._msgHandler=e;this._contentLength=null;this._fullRequestReader=null;this._rangeRequestReaders=[]}getFullReader(){assert(!this._fullRequestReader,"PDFWorkerStream.getFullReader can only be called once.");this._fullRequestReader=new PDFWorkerStreamReader(this._msgHandler);return this._fullRequestReader}getRangeReader(e,t){const a=new PDFWorkerStreamRangeReader(e,t,this._msgHandler);this._rangeRequestReaders.push(a);return a}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class PDFWorkerStreamReader{constructor(e){this._msgHandler=e;this.onProgress=null;this._contentLength=null;this._isRangeSupported=!1;this._isStreamingSupported=!1;const t=this._msgHandler.sendWithStream("GetReader");this._reader=t.getReader();this._headersReady=this._msgHandler.sendWithPromise("ReaderHeadersReady").then((e=>{this._isStreamingSupported=e.isStreamingSupported;this._isRangeSupported=e.isRangeSupported;this._contentLength=e.contentLength}))}get headersReady(){return this._headersReady}get contentLength(){return this._contentLength}get isStreamingSupported(){return this._isStreamingSupported}get isRangeSupported(){return this._isRangeSupported}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class PDFWorkerStreamRangeReader{constructor(e,t,a){this._msgHandler=a;this.onProgress=null;const r=this._msgHandler.sendWithStream("GetRangeReader",{begin:e,end:t});this._reader=r.getReader()}get isStreamingSupported(){return!1}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class WorkerTask{constructor(e){this.name=e;this.terminated=!1;this._capability=Promise.withResolvers()}get finished(){return this._capability.promise}finish(){this._capability.resolve()}terminate(){this.terminated=!0}ensureNotTerminated(){if(this.terminated)throw new Error("Worker task was terminated")}}class WorkerMessageHandler{static{"undefined"==typeof window&&!e&&"undefined"!=typeof self&&"function"==typeof self.postMessage&&"onmessage"in self&&this.initializeFromPort(self)}static setup(e,t){let a=!1;e.on("test",(t=>{if(!a){a=!0;e.send("test",t instanceof Uint8Array)}}));e.on("configure",(e=>{!function setVerbosityLevel(e){Number.isInteger(e)&&(da=e)}(e.verbosity)}));e.on("GetDocRequest",(e=>this.createDocumentHandler(e,t)))}static createDocumentHandler(e,t){let a,r=!1,i=null;const n=new Set,s=getVerbosityLevel(),{docId:o,apiVersion:c}=e,l="5.4.54";if(c!==l)throw new Error(`The API version "${c}" does not match the Worker version "${l}".`);const buildMsg=(e,t)=>`The \\`${e}.prototype\\` contains unexpected enumerable property "${t}", thus breaking e.g. \\`for...in\\` iteration of ${e}s.`;for(const e in{})throw new Error(buildMsg("Object",e));for(const e in[])throw new Error(buildMsg("Array",e));const h=o+"_worker";let u=new MessageHandler(h,o,t);function ensureNotTerminated(){if(r)throw new Error("Worker was terminated")}function startWorkerTask(e){n.add(e)}function finishWorkerTask(e){e.finish();n.delete(e)}async function loadDocument(e){await a.ensureDoc("checkHeader");await a.ensureDoc("parseStartXRef");await a.ensureDoc("parse",[e]);await a.ensureDoc("checkFirstPage",[e]);await a.ensureDoc("checkLastPage",[e]);const t=await a.ensureDoc("isPureXfa");if(t){const e=new WorkerTask("loadXfaResources");startWorkerTask(e);await a.ensureDoc("loadXfaResources",[u,e]);finishWorkerTask(e)}const[r,i]=await Promise.all([a.ensureDoc("numPages"),a.ensureDoc("fingerprints")]);return{numPages:r,fingerprints:i,htmlForXfa:t?await a.ensureDoc("htmlForXfa"):null}}function setupDoc(e){function onSuccess(e){ensureNotTerminated();u.send("GetDoc",{pdfInfo:e})}function onFailure(e){ensureNotTerminated();if(e instanceof PasswordException){const t=new WorkerTask(`PasswordException: response ${e.code}`);startWorkerTask(t);u.sendWithPromise("PasswordRequest",e).then((function({password:e}){finishWorkerTask(t);a.updatePassword(e);pdfManagerReady()})).catch((function(){finishWorkerTask(t);u.send("DocException",e)}))}else u.send("DocException",wrapReason(e))}function pdfManagerReady(){ensureNotTerminated();loadDocument(!1).then(onSuccess,(function(e){ensureNotTerminated();e instanceof XRefParseException?a.requestLoadedStream().then((function(){ensureNotTerminated();loadDocument(!0).then(onSuccess,onFailure)})):onFailure(e)}))}ensureNotTerminated();(async function getPdfManager({data:e,password:t,disableAutoFetch:a,rangeChunkSize:r,length:n,docBaseUrl:s,enableXfa:c,evaluatorOptions:l}){const h={source:null,disableAutoFetch:a,docBaseUrl:s,docId:o,enableXfa:c,evaluatorOptions:l,handler:u,length:n,password:t,rangeChunkSize:r};if(e){h.source=e;return new LocalPdfManager(h)}const d=new PDFWorkerStream(u),f=d.getFullReader(),g=Promise.withResolvers();let p,m=[],b=0;f.headersReady.then((function(){if(f.isRangeSupported){h.source=d;h.length=f.contentLength;h.disableAutoFetch||=f.isStreamingSupported;p=new NetworkPdfManager(h);for(const e of m)p.sendProgressiveData(e);m=[];g.resolve(p);i=null}})).catch((function(e){g.reject(e);i=null}));new Promise((function(e,t){const readChunk=function({value:e,done:a}){try{ensureNotTerminated();if(a){if(!p){const e=arrayBuffersToBytes(m);m=[];n&&e.length!==n&&warn("reported HTTP length is different from actual");h.source=e;p=new LocalPdfManager(h);g.resolve(p)}i=null;return}b+=e.byteLength;f.isStreamingSupported||u.send("DocProgress",{loaded:b,total:Math.max(b,f.contentLength||0)});p?p.sendProgressiveData(e):m.push(e);f.read().then(readChunk,t)}catch(e){t(e)}};f.read().then(readChunk,t)})).catch((function(e){g.reject(e);i=null}));i=e=>{d.cancelAllRequests(e)};return g.promise})(e).then((function(e){if(r){e.terminate(new AbortException("Worker was terminated."));throw new Error("Worker was terminated")}a=e;a.requestLoadedStream(!0).then((e=>{u.send("DataLoaded",{length:e.bytes.byteLength})}))})).then(pdfManagerReady,onFailure)}u.on("GetPage",(function(e){return a.getPage(e.pageIndex).then((function(e){return Promise.all([a.ensure(e,"rotate"),a.ensure(e,"ref"),a.ensure(e,"userUnit"),a.ensure(e,"view")]).then((function([e,t,a,r]){return{rotate:e,ref:t,refStr:t?.toString()??null,userUnit:a,view:r}}))}))}));u.on("GetPageIndex",(function(e){const t=Ref.get(e.num,e.gen);return a.ensureCatalog("getPageIndex",[t])}));u.on("GetDestinations",(function(e){return a.ensureCatalog("destinations")}));u.on("GetDestination",(function(e){return a.ensureCatalog("getDestination",[e.id])}));u.on("GetPageLabels",(function(e){return a.ensureCatalog("pageLabels")}));u.on("GetPageLayout",(function(e){return a.ensureCatalog("pageLayout")}));u.on("GetPageMode",(function(e){return a.ensureCatalog("pageMode")}));u.on("GetViewerPreferences",(function(e){return a.ensureCatalog("viewerPreferences")}));u.on("GetOpenAction",(function(e){return a.ensureCatalog("openAction")}));u.on("GetAttachments",(function(e){return a.ensureCatalog("attachments")}));u.on("GetDocJSActions",(function(e){return a.ensureCatalog("jsActions")}));u.on("GetPageJSActions",(function({pageIndex:e}){return a.getPage(e).then((e=>a.ensure(e,"jsActions")))}));u.on("GetOutline",(function(e){return a.ensureCatalog("documentOutline")}));u.on("GetOptionalContentConfig",(function(e){return a.ensureCatalog("optionalContentConfig")}));u.on("GetPermissions",(function(e){return a.ensureCatalog("permissions")}));u.on("GetMetadata",(function(e){return Promise.all([a.ensureDoc("documentInfo"),a.ensureCatalog("metadata")])}));u.on("GetMarkInfo",(function(e){return a.ensureCatalog("markInfo")}));u.on("GetData",(function(e){return a.requestLoadedStream().then((e=>e.bytes))}));u.on("GetAnnotations",(function({pageIndex:e,intent:t}){return a.getPage(e).then((function(a){const r=new WorkerTask(`GetAnnotations: page ${e}`);startWorkerTask(r);return a.getAnnotationsData(u,r,t).then((e=>{finishWorkerTask(r);return e}),(e=>{finishWorkerTask(r);throw e}))}))}));u.on("GetFieldObjects",(function(e){return a.ensureDoc("fieldObjects").then((e=>e?.allFields||null))}));u.on("HasJSActions",(function(e){return a.ensureDoc("hasJSActions")}));u.on("GetCalculationOrderIds",(function(e){return a.ensureDoc("calculationOrderIds")}));u.on("SaveDocument",(async function({isPureXfa:e,numPages:t,annotationStorage:r,filename:i}){const n=[a.requestLoadedStream(),a.ensureCatalog("acroForm"),a.ensureCatalog("acroFormRef"),a.ensureDoc("startXRef"),a.ensureDoc("xref"),a.ensureDoc("linearization"),a.ensureCatalog("structTreeRoot")],s=new RefSetCache,o=[],c=e?null:getNewAnnotationsMap(r),[l,h,d,f,g,p,m]=await Promise.all(n),b=g.trailer.getRaw("Root")||null;let y;if(c){m?await m.canUpdateStructTree({pdfManager:a,newAnnotationsByPage:c})&&(y=m):await StructTreeRoot.canCreateStructureTree({catalogRef:b,pdfManager:a,newAnnotationsByPage:c})&&(y=null);const e=AnnotationFactory.generateImages(r.values(),g,a.evaluatorOptions.isOffscreenCanvasSupported),t=void 0===y?o:[];for(const[r,i]of c)t.push(a.getPage(r).then((t=>{const a=new WorkerTask(`Save (editor): page ${r}`);startWorkerTask(a);return t.saveNewAnnotations(u,a,i,e,s).finally((function(){finishWorkerTask(a)}))})));null===y?o.push(Promise.all(t).then((async()=>{await StructTreeRoot.createStructureTree({newAnnotationsByPage:c,xref:g,catalogRef:b,pdfManager:a,changes:s})}))):y&&o.push(Promise.all(t).then((async()=>{await y.updateStructureTree({newAnnotationsByPage:c,pdfManager:a,changes:s})})))}if(e)o.push(a.ensureDoc("serializeXfaData",[r]));else for(let e=0;e<t;e++)o.push(a.getPage(e).then((function(t){const a=new WorkerTask(`Save: page ${e}`);startWorkerTask(a);return t.save(u,a,r,s).finally((function(){finishWorkerTask(a)}))})));const w=await Promise.all(o);let x=null;if(e){x=w[0];if(!x)return l.bytes}else if(0===s.size)return l.bytes;const S=d&&h instanceof Dict&&s.values().some((e=>e.needAppearances)),k=h instanceof Dict&&h.get("XFA")||null;let C=null,v=!1;if(Array.isArray(k)){for(let e=0,t=k.length;e<t;e+=2)if("datasets"===k[e]){C=k[e+1];v=!0}null===C&&(C=g.getNewTemporaryRef())}else k&&warn("Unsupported XFA type.");let F=Object.create(null);if(g.trailer){const e=new Map,t=g.trailer.get("Info")||null;if(t instanceof Dict)for(const[a,r]of t)"string"==typeof r&&e.set(a,stringToPDFString(r));F={rootRef:b,encryptRef:g.trailer.getRaw("Encrypt")||null,newRef:g.getNewTemporaryRef(),infoRef:g.trailer.getRaw("Info")||null,infoMap:e,fileIds:g.trailer.get("ID")||null,startXRef:p?f:g.lastXRefStreamPos??f,filename:i}}return incrementalUpdate({originalData:l.bytes,xrefInfo:F,changes:s,xref:g,hasXfa:!!k,xfaDatasetsRef:C,hasXfaDatasetsEntry:v,needAppearances:S,acroFormRef:d,acroForm:h,xfaData:x,useXrefStream:isDict(g.topDict,"XRef")}).finally((()=>{g.resetNewTemporaryRef()}))}));u.on("GetOperatorList",(function(e,t){const r=e.pageIndex;a.getPage(r).then((function(a){const i=new WorkerTask(`GetOperatorList: page ${r}`);startWorkerTask(i);const n=s>=Ae?Date.now():0;a.getOperatorList({handler:u,sink:t,task:i,intent:e.intent,cacheKey:e.cacheKey,annotationStorage:e.annotationStorage,modifiedIds:e.modifiedIds}).then((function(e){finishWorkerTask(i);n&&info(`page=${r+1} - getOperatorList: time=${Date.now()-n}ms, len=${e.length}`);t.close()}),(function(e){finishWorkerTask(i);i.terminated||t.error(e)}))}))}));u.on("GetTextContent",(function(e,t){const{pageIndex:r,includeMarkedContent:i,disableNormalization:n}=e;a.getPage(r).then((function(e){const a=new WorkerTask("GetTextContent: page "+r);startWorkerTask(a);const o=s>=Ae?Date.now():0;e.extractTextContent({handler:u,task:a,sink:t,includeMarkedContent:i,disableNormalization:n}).then((function(){finishWorkerTask(a);o&&info(`page=${r+1} - getTextContent: time=`+(Date.now()-o)+"ms");t.close()}),(function(e){finishWorkerTask(a);a.terminated||t.error(e)}))}))}));u.on("GetStructTree",(function(e){return a.getPage(e.pageIndex).then((e=>a.ensure(e,"getStructTree")))}));u.on("FontFallback",(function(e){return a.fontFallback(e.id,u)}));u.on("Cleanup",(function(e){return a.cleanup(!0)}));u.on("Terminate",(function(e){r=!0;const t=[];if(a){a.terminate(new AbortException("Worker was terminated."));const e=a.cleanup();t.push(e);a=null}else clearGlobalCaches();i?.(new AbortException("Worker was terminated."));for(const e of n){t.push(e.finished);e.terminate()}return Promise.all(t).then((function(){u.destroy();u=null}))}));u.on("Ready",(function(t){setupDoc(e);e=null}));return h}static initializeFromPort(e){const t=new MessageHandler("worker","main",e);this.setup(t,e);t.send("ready",null)}}globalThis.pdfjsWorker={WorkerMessageHandler};export{WorkerMessageHandler};',DBe=Object.freeze(Object.defineProperty({__proto__:null,default:MBe},Symbol.toStringTag,{value:"Module"}));export{AK as app,$Be as start};
+\f\r "&'<=>\``.split("")]],single:[["&'".split(""),"\"&'`".split("")],["\0&'".split(""),"\0\"&'`".split("")]],double:[['"&'.split(""),"\"&'`".split("")],['\0"&'.split(""),"\0\"&'`".split("")]]};function element(node2,index2,parent,state2){const schema=state2.schema,omit2=schema.space==="svg"?!1:state2.settings.omitOptionalTags;let selfClosing=schema.space==="svg"?state2.settings.closeEmptyElements:state2.settings.voids.includes(node2.tagName.toLowerCase());const parts=[];let last;schema.space===
+"html"&&node2.tagName==="svg"&&(state2.schema=svg);const attributes=serializeAttributes(state2,node2.properties),content2=state2.all(schema.space==="html"&&node2.tagName==="template"?node2.content:node2);return state2.schema=schema,content2&&(selfClosing=!1),(attributes||!omit2||!opening(node2,index2,parent))&&(parts.push("<",node2.tagName,attributes?" "+attributes:""),selfClosing&&(schema.space==="svg"||state2.settings.closeSelfClosing)&&(last=attributes.charAt(attributes.length-1),(!state2.settings.
+tightSelfClosing||last==="/"||last&&last!=='"'&&last!=="'")&&parts.push(" "),parts.push("/")),parts.push(">")),parts.push(content2),!selfClosing&&(!omit2||!closing(node2,index2,parent))&&parts.push("</"+node2.tagName+">"),parts.join("")}function serializeAttributes(state2,properties2){const values=[];let index2=-1,key2;if(properties2){for(key2 in properties2)if(properties2[key2]!==null&&properties2[key2]!==void 0){const value=serializeAttribute(state2,key2,properties2[key2]);value&&values.push(value)}}
+for(;++index2<values.length;){const last=state2.settings.tightAttributes?values[index2].charAt(values[index2].length-1):void 0;index2!==values.length-1&&last!=='"'&&last!=="'"&&(values[index2]+=" ")}return values.join("")}function serializeAttribute(state2,key2,value){const info2=find(state2.schema,key2),x=state2.settings.allowParseErrors&&state2.schema.space==="html"?0:1,y=state2.settings.allowDangerousCharacters?0:1;let quote=state2.quote,result;if(info2.overloadedBoolean&&(value===info2.attribute||
+value==="")?value=!0:(info2.boolean||info2.overloadedBoolean)&&(typeof value!="string"||value===info2.attribute||value==="")&&(value=!!value),value==null||value===!1||typeof value=="number"&&Number.isNaN(value))return"";const name=stringifyEntities(info2.attribute,Object.assign({},state2.settings.characterReferences,{subset:constants.name[x][y]}));return value===!0||(value=Array.isArray(value)?(info2.commaSeparated?stringify$1:stringify)(value,{padLeft:!state2.settings.tightCommaSeparatedLists}):
+String(value),state2.settings.collapseEmptyAttributes&&!value)?name:(state2.settings.preferUnquoted&&(result=stringifyEntities(value,Object.assign({},state2.settings.characterReferences,{attribute:!0,subset:constants.unquoted[x][y]}))),result!==value&&(state2.settings.quoteSmart&&ccount(value,quote)>ccount(value,state2.alternative)&&(quote=state2.alternative),result=quote+stringifyEntities(value,Object.assign({},state2.settings.characterReferences,{subset:(quote==="'"?constants.single:constants.
+double)[x][y],attribute:!0}))+quote),name+(result&&"="+result))}const textEntitySubset=["<","&"];function text(node2,_,parent,state2){return parent&&parent.type==="element"&&(parent.tagName==="script"||parent.tagName==="style")?node2.value:stringifyEntities(node2.value,Object.assign({},state2.settings.characterReferences,{subset:textEntitySubset}))}function raw(node2,index2,parent,state2){return state2.settings.allowDangerousHtml?node2.value:text(node2,index2,parent,state2)}function root$S(node2,_12,_22,state2){
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+$$render=>{get$3(incompleteCodeBlock)&&$$render(consequent_1)})}reset(div),bind_this(div,$$value=>set$1(containerRef,$$value),()=>get$3(containerRef));var node_5=sibling(div,2);DialogCodePreview(node_5,{get open(){return get$3(previewDialogOpen)},get code(){return get$3(previewCode)},get language(){return get$3(previewLanguage)},onOpenChange:handlePreviewDialogOpenChange}),template_effect($0=>set_class(div,1,`${className()??""}${$0??""}`,"svelte-wjdxdt"),[()=>config$1()[SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS]?
+" full-height-code-blocks":""]),append($$anchor,fragment),pop()}var root$Q=from_html('<div><pre class="m-0 svelte-hp0zxr"><code class="hljs text-sm leading-relaxed svelte-hp0zxr"></code></pre></div>');function SyntaxHighlightedCode($$anchor,$$props){push$1($$props,!0);let language2=prop($$props,"language",3,"text"),className=prop($$props,"class",3,""),maxHeight=prop($$props,"maxHeight",3,"60vh"),maxWidth=prop($$props,"maxWidth",3,""),highlightedHtml=state$1("");function loadHighlightTheme(isDark){
+document.querySelectorAll("style[data-highlight-theme-preview]").forEach(style3=>style3.remove());const style2=document.createElement("style");style2.setAttribute("data-highlight-theme-preview","true"),style2.textContent=isDark?githubDarkCss:githubLightCss,document.head.appendChild(style2)}user_effect(()=>{const isDark=derivedMode.current===ColorMode.DARK;loadHighlightTheme(isDark)}),user_effect(()=>{if(!$$props.code){set$1(highlightedHtml,"");return}try{const lang=language2().toLowerCase();if(HighlightJS$1.
+getLanguage(lang)){const result=HighlightJS$1.highlight($$props.code,{language:lang});set$1(highlightedHtml,result.value,!0)}else{const result=HighlightJS$1.highlightAuto($$props.code);set$1(highlightedHtml,result.value,!0)}}catch{set$1(highlightedHtml,$$props.code.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;"),!0)}});var div=root$Q(),pre=child(div),code_1=child(pre);html$6(code_1,()=>get$3(highlightedHtml),!0),reset(code_1),reset(pre),reset(div),template_effect(()=>{set_class(div,
+1,`code-preview-wrapper rounded-lg border border-border bg-muted ${className()??""}`,"svelte-hp0zxr"),set_style(div,`max-height: ${maxHeight()??""}; max-width: ${maxWidth()??""};`)}),append($$anchor,div),pop()}var root_5$i=from_html('<span class="text-xs italic"> </span>'),root_3$A=from_html('<div class="flex items-center gap-2 text-muted-foreground"><!> <span class="font-mono text-sm font-medium"> </span> <!></div> <div><!> <span class="sr-only">Toggle content</span></div>',1),root_6$k=from_html(
+'<div class="overflow-y-auto border-t border-muted px-3 pb-3" style="min-height: var(--min-message-height); max-height: var(--max-message-height);"><!></div>'),root_2$H=from_html("<!> <!>",1);function CollapsibleContentBlock($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),className=prop($$props,"class",3,""),iconClass=prop($$props,"iconClass",3,"h-4 w-4"),isStreaming=prop($$props,"isStreaming",3,!1),contentContainer=state$1(void 0);const autoScroll=createAutoScrollController();
+user_effect(()=>{autoScroll.setContainer(get$3(contentContainer))}),user_effect(()=>{autoScroll.updateInterval(open2()&&isStreaming())});function handleScroll(){autoScroll.handleScroll()}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return open2()},onOpenChange:value=>{open2(value),$$props.onToggle?.()},get class(){return className()},children:($$anchor3,$$slotProps)=>{Card($$anchor3,{class:"\
+gap-0 border-muted bg-muted/30 py-0",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$H(),node_1=first_child(fragment_2);component(node_1,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full cursor-pointer items-center justify-between p-3",children:($$anchor6,$$slotProps3)=>{var fragment_3=root_3$A(),div=first_child(fragment_3),node_2=child(div);{var consequent=$$anchor7=>{var fragment_4=comment$2(),node_3=first_child(fragment_4);component(
+node_3,()=>$$props.icon,($$anchor8,IconComponent_1)=>{IconComponent_1($$anchor8,{get class(){return iconClass()}})}),append($$anchor7,fragment_4)};if_block(node_2,$$render=>{$$props.icon&&$$render(consequent)})}var span=sibling(node_2,2),text2=child(span,!0);reset(span);var node_4=sibling(span,2);{var consequent_1=$$anchor7=>{var span_1=root_5$i(),text_1=child(span_1,!0);reset(span_1),template_effect(()=>set_text(text_1,$$props.subtitle)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props.
+subtitle&&$$render(consequent_1)})}reset(div);var div_1=sibling(div,2),node_5=child(div_1);Chevrons_up_down(node_5,{class:"h-4 w-4"}),next$1(2),reset(div_1),template_effect($0=>{set_text(text2,$$props.title),set_class(div_1,1,$0)},[()=>clsx(buttonVariants({variant:"ghost",size:"sm",class:"h-6 w-6 p-0 text-muted-foreground hover:text-foreground"}))]),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_1,2);component(node_6,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{
+Collapsible_Content($$anchor5,{children:($$anchor6,$$slotProps3)=>{var div_2=root_6$k(),node_7=child(div_2);snippet(node_7,()=>$$props.children),reset(div_2),bind_this(div_2,$$value=>set$1(contentContainer,$$value),()=>get$3(contentContainer)),event("scroll",div_2,handleScroll),append($$anchor6,div_2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}function Dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop(
+$$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-lg leading-none font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,DialogPrimitive_Title)=>{DialogPrimitive_Title($$anchor2,spread_props({"data-slot":"dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,
+fragment),pop()}var root$P=from_html("<div><!></div>");function Dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$P();attribute_effect(div,$0=>({"data-slot":"dialog-footer",class:$0,...restProps}),[()=>cn$1("flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(
+div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$O=from_html("<div><!></div>");function Dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$O();attribute_effect(div,$0=>({"data-slot":"dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.
+children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards da\
+ta-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"dialog-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_4$n=from_html('<!> <span class="sr-only">Close</span>',1),root_2$G=from_html("<!> <!>",1),root_1$q=from_html("<!> <!>",1);function Dialog_content($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),showCloseButton=prop($$props,"showCloseButton",3,!0),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps","children","showCloseButton"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$1,($$anchor2,Dialog_Portal)=>{Dialog_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$q(),node_1=first_child(fragment_1);component(
+node_1,()=>Dialog_overlay,($$anchor4,Dialog_Overlay)=>{Dialog_Overlay($$anchor4,{})});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed top-[50%] left-[50%] z-50 grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 d\
+ata-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]",$$props.class));component(node_2,()=>Dialog_content$1,($$anchor4,DialogPrimitive_Content)=>{DialogPrimitive_Content($$anchor4,spread_props({"data-slot":"dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$G(),node_3=first_child(fragment_2);snippet(node_3,()=>$$props.
+children??noop$3);var node_4=sibling(node_3,2);{var consequent=$$anchor6=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);component(node_5,()=>Dialog_close,($$anchor7,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor7,{class:"absolute top-4 right-4 rounded-xs opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:ring-2 focus:ring-ring focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:n\
+ot([class*='size-'])]:size-4",children:($$anchor8,$$slotProps3)=>{var fragment_4=root_4$n(),node_6=first_child(fragment_4);X(node_6,{}),next$1(2),append($$anchor8,fragment_4)},$$slots:{default:!0}})}),append($$anchor6,fragment_3)};if_block(node_4,$$render=>{showCloseButton()&&$$render(consequent)})}append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Dialog_description($$anchor,$$props){push$1($$props,
+!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,DialogPrimitive_Description)=>{DialogPrimitive_Description($$anchor2,spread_props({"data-slot":"dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){
+ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$2=Dialog,Portal$1=Portal$2;var root_1$p=from_html("<!> Add New Server",1),root_2$F=from_html('<div class="rounded-md border border-dashed p-4 text-sm text-muted-foreground">No MCP Servers configured yet. Add one to enable agentic features.</div>'),root_3$z=from_html('<div class="grid gap-3" style="grid-template-columns: repeat(auto-fill, minmax(min(32rem, calc(100dvw - 2rem)), 1fr));"></div>'),root$N=from_html('<div class="h-full max\
+-h-[100dvh] overflow-y-auto"><div class="flex items-center gap-2 p-4 md:absolute md:top-8 md:left-8 md:px-0 md:py-2"><!> <h1 class="text-xl font-semibold md:text-2xl">MCP Servers</h1></div> <div class="sticky top-0 z-10 mt-4 flex items-start gap-4 p-4 md:justify-end md:px-8"><!></div> <!> <div><!> <!></div></div>');function SettingsMcpServers($$anchor,$$props){push$1($$props,!0);let servers=user_derived(()=>mcpStore.getServersSorted()),initialLoadComplete=state$1(!1),isAddingServer=state$1(!1);onMount$1(
+()=>{if(page$1.url.searchParams.has("add")){set$1(isAddingServer,!0);const newUrl=new URL(page$1.url);newUrl.searchParams.delete("add"),replaceState(newUrl,{})}}),user_effect(()=>{if(get$3(initialLoadComplete))return;get$3(servers).length>0&&get$3(servers).every(server=>{const state2=mcpStore.getHealthCheckState(server.id);return state2.status===HealthCheckStatus.SUCCESS||state2.status===HealthCheckStatus.ERROR})&&set$1(initialLoadComplete,!0)});var div=root$N(),div_1=child(div),node2=child(div_1);
+McpLogo(node2,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_1);var div_2=sibling(div_1,2),node_1=child(div_2);Button(node_1,{variant:"outline",size:"sm",class:"shrink-0",onclick:()=>set$1(isAddingServer,!0),children:($$anchor2,$$slotProps)=>{var fragment=root_1$p(),node_2=first_child(fragment);Plus(node_2,{class:"h-4 w-4"}),next$1(),append($$anchor2,fragment)},$$slots:{default:!0}}),reset(div_2);var node_3=sibling(div_2,2);DialogMcpServerAddNew(node_3,{get open(){return get$3(isAddingServer)},
+set open($$value){set$1(isAddingServer,$$value,!0)}});var div_3=sibling(node_3,2),node_4=child(div_3);{var consequent=$$anchor2=>{var div_4=root_2$F();append($$anchor2,div_4)};if_block(node_4,$$render=>{get$3(servers).length===0&&!get$3(isAddingServer)&&$$render(consequent)})}var node_5=sibling(node_4,2);{var consequent_2=$$anchor2=>{var div_5=root_3$z();each(div_5,21,()=>get$3(servers),server=>server.id,($$anchor3,server)=>{var fragment_1=comment$2(),node_6=first_child(fragment_1);{var consequent_1=$$anchor4=>{
+McpServerCardSkeleton($$anchor4)},alternate=$$anchor4=>{{let $0=user_derived(()=>conversationsStore.isMcpServerEnabledForChat(get$3(server).id));McpServerCard($$anchor4,{get server(){return get$3(server)},get enabled(){return get$3($0)},onToggle:async()=>{const wasEnabled=conversationsStore.isMcpServerEnabledForChat(get$3(server).id);await conversationsStore.toggleMcpServerForChat(get$3(server).id),wasEnabled||toolsStore.enableAllToolsForServer(get$3(server).id)},onUpdate:updates=>mcpStore.updateServer(
+get$3(server).id,updates),onDelete:()=>mcpStore.removeServer(get$3(server).id)})}};if_block(node_6,$$render=>{get$3(initialLoadComplete)?$$render(alternate,-1):$$render(consequent_1)})}append($$anchor3,fragment_1)}),reset(div_5),append($$anchor2,div_5)};if_block(node_5,$$render=>{get$3(servers).length>0&&$$render(consequent_2)})}reset(div_3),reset(div),template_effect(()=>set_class(div_3,1,`grid gap-5 md:space-y-4 ${$$props.class??""}`)),transition(1,div,()=>fade,()=>({duration:150})),append($$anchor,
+div),pop()}delegate(["click"]);var root_3$y=from_html("<!> Tools",1),root_5$h=from_html("<!> Resources",1),root_7$g=from_html("<!> Prompts",1),root_9$c=from_html("<!> Logging",1),root_11$7=from_html("<!> Completions",1),root_13$5=from_html("<!> Tasks",1),root_1$o=from_html("<!> <!> <!> <!> <!> <!>",1);function McpCapabilitiesBadges($$anchor,$$props){push$1($$props,!0);var fragment=comment$2(),node2=first_child(fragment);{var consequent_6=$$anchor2=>{var fragment_1=root_1$o(),node_1=first_child(fragment_1);
+{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-green-50 px-1.5 text-[10px] dark:bg-green-950",children:($$anchor4,$$slotProps)=>{var fragment_3=root_3$y(),node_2=first_child(fragment_3);Wrench(node_2,{class:"h-3 w-3 text-green-600 dark:text-green-400"}),next$1(),append($$anchor4,fragment_3)},$$slots:{default:!0}})};if_block(node_1,$$render=>{$$props.capabilities.server.tools&&$$render(consequent)})}var node_3=sibling(node_1,2);{var consequent_1=$$anchor3=>{Badge(
+$$anchor3,{variant:"outline",class:"h-5 gap-1 bg-blue-50 px-1.5 text-[10px] dark:bg-blue-950",children:($$anchor4,$$slotProps)=>{var fragment_5=root_5$h(),node_4=first_child(fragment_5);Database(node_4,{class:"h-3 w-3 text-blue-600 dark:text-blue-400"}),next$1(),append($$anchor4,fragment_5)},$$slots:{default:!0}})};if_block(node_3,$$render=>{$$props.capabilities.server.resources&&$$render(consequent_1)})}var node_5=sibling(node_3,2);{var consequent_2=$$anchor3=>{Badge($$anchor3,{variant:"outline",
+class:"h-5 gap-1 bg-purple-50 px-1.5 text-[10px] dark:bg-purple-950",children:($$anchor4,$$slotProps)=>{var fragment_7=root_7$g(),node_6=first_child(fragment_7);Message_square(node_6,{class:"h-3 w-3 text-purple-600 dark:text-purple-400"}),next$1(),append($$anchor4,fragment_7)},$$slots:{default:!0}})};if_block(node_5,$$render=>{$$props.capabilities.server.prompts&&$$render(consequent_2)})}var node_7=sibling(node_5,2);{var consequent_3=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-\
+1 bg-orange-50 px-1.5 text-[10px] dark:bg-orange-950",children:($$anchor4,$$slotProps)=>{var fragment_9=root_9$c(),node_8=first_child(fragment_9);File_text(node_8,{class:"h-3 w-3 text-orange-600 dark:text-orange-400"}),next$1(),append($$anchor4,fragment_9)},$$slots:{default:!0}})};if_block(node_7,$$render=>{$$props.capabilities.server.logging&&$$render(consequent_3)})}var node_9=sibling(node_7,2);{var consequent_4=$$anchor3=>{Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 bg-cyan-50 px-1.5 \
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+g-pink-950",children:($$anchor4,$$slotProps)=>{var fragment_13=root_13$5(),node_12=first_child(fragment_13);List_checks(node_12,{class:"h-3 w-3 text-pink-600 dark:text-pink-400"}),next$1(),append($$anchor4,fragment_13)},$$slots:{default:!0}})};if_block(node_11,$$render=>{$$props.capabilities.server.tasks&&$$render(consequent_5)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.capabilities&&$$render(consequent_6)})}append($$anchor,fragment),pop()}var root_6$j=from_html('<span cla\
+ss="ml-1"> </span>'),root_3$x=from_html("<!> <span> </span> <!>",1),root_9$b=from_html('<details class="ml-11"><summary class="cursor-pointer text-[10px] text-muted-foreground">details</summary> <pre class="mt-1 overflow-x-auto rounded bg-background/70 p-2 text-[10px] break-all whitespace-pre-wrap text-foreground/80"> </pre></details>'),root_8$h=from_html('<div><span class="shrink-0 text-muted-foreground"> </span> <!> <span class="break-all"> </span></div> <!>',1),root_7$f=from_html('<div class=\
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+{var consequent_3=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$E(),div=first_child(fragment_2),node_2=child(div);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,
+{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_3=root_3$x(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_3,2),text2=child(span);reset(span);var node_4=sibling(span,
+2);{var consequent_1=$$anchor7=>{var span_1=root_6$j(),text_1=child(span_1);reset(span_1),template_effect(()=>set_text(text_1,`· Connected in ${$$props.connectionTimeMs??""}ms`)),append($$anchor7,span_1)};if_block(node_4,$$render=>{$$props.connectionTimeMs!==void 0&&$$render(consequent_1)})}template_effect(()=>set_text(text2,`Connection Log (${$$props.logs.length??""})`)),append($$anchor6,fragment_3)},$$slots:{default:!0}})}),reset(div);var node_5=sibling(div,2);component(node_5,()=>Collapsible_content,
+($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var div_1=root_7$f();each(div_1,21,()=>$$props.logs,log=>log.timestamp.getTime()+log.message,($$anchor7,log)=>{const IconComponent=user_derived(()=>getMcpLogLevelIcon(get$3(log).level));var fragment_6=root_8$h(),div_2=first_child(fragment_6),span_2=child(div_2),text_2=child(span_2,!0);reset(span_2);var node_6=sibling(span_2,2);component(node_6,()=>get$3(IconComponent),($$anchor8,IconComponent_1)=>{
+IconComponent_1($$anchor8,{class:"mt-0.5 h-3 w-3 shrink-0"})});var span_3=sibling(node_6,2),text_3=child(span_3,!0);reset(span_3),reset(div_2);var node_7=sibling(div_2,2);{var consequent_2=$$anchor8=>{var details_1=root_9$b(),pre=sibling(child(details_1),2),text_4=child(pre,!0);reset(pre),reset(details_1),template_effect($0=>set_text(text_4,$0),[()=>formatLogDetails(get$3(log).details)]),append($$anchor8,details_1)};if_block(node_7,$$render=>{get$3(log).details!==void 0&&$$render(consequent_2)})}
+template_effect(($0,$1)=>{set_class(div_2,1,$0),set_text(text_2,$1),set_text(text_3,get$3(log).message)},[()=>clsx(["flex items-start gap-1.5",getMcpLogLevelClass(get$3(log).level)]),()=>formatTime(get$3(log).timestamp)]),append($$anchor7,fragment_6)}),reset(div_1),append($$anchor6,div_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.logs.length>0&&$$render(consequent_3)})}append($$anchor,fragment),
+pop()}var root_1$n=from_html('<p class="mt-1.5 text-xs text-destructive"> </p>'),root_3$w=from_html('<span class="inline-flex gap-0.75 text-xs text-muted-foreground/60">(Run <pre>llama-server</pre> with <pre>--webui-mcp-proxy</pre> flag)</span>'),root_2$D=from_html('<label><!> <span><span class="text-xs text-muted-foreground">Use llama-server proxy</span> <br/> <!></span></label>'),root$M=from_html('<div class="grid gap-3"><div><label class="mb-2 block text-xs font-medium">Server URL <span class\
+="text-destructive">*</span></label> <!> <!> <!></div> <!></div>');function McpServerForm($$anchor,$$props){push$1($$props,!0);let useProxy=prop($$props,"useProxy",3,!1),urlError=prop($$props,"urlError",3,null),id2=prop($$props,"id",3,"server"),isWebSocket=user_derived(()=>$$props.url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET)||$$props.url.toLowerCase().startsWith(UrlProtocol.WEBSOCKET_SECURE)),headerPairs=user_derived(()=>parseHeadersToArray($$props.headers));function updateHeaderPairs(newPairs){
+set$1(headerPairs,newPairs),$$props.onHeadersChange(serializeHeaders(newPairs))}var div=root$M(),div_1=child(div),label=child(div_1),node2=sibling(label,2);{let $0=user_derived(()=>urlError()?"border-destructive":"");Input(node2,{get id(){return`server-url-${id2()??""}`},type:"url",get placeholder(){return MCP_SERVER_URL_PLACEHOLDER},get value(){return $$props.url},oninput:e=>$$props.onUrlChange(e.currentTarget.value),get class(){return get$3($0)}})}var node_1=sibling(node2,2);{var consequent=$$anchor2=>{
+var p2=root_1$n(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,urlError())),append($$anchor2,p2)};if_block(node_1,$$render=>{urlError()&&$$render(consequent)})}var node_2=sibling(node_1,2);{var consequent_2=$$anchor2=>{var label_1=root_2$D(),node_3=child(label_1);{let $0=user_derived(()=>!mcpStore.isProxyAvailable);Switch(node_3,{class:"mt-1",get id(){return`use-proxy-${id2()??""}`},get checked(){return useProxy()},get disabled(){return get$3($0)},onCheckedChange:checked=>$$props.
+onUseProxyChange?.(checked)})}var span=sibling(node_3,2),node_4=sibling(child(span),4);{var consequent_1=$$anchor3=>{var span_1=root_3$w();append($$anchor3,span_1)};if_block(node_4,$$render=>{mcpStore.isProxyAvailable||$$render(consequent_1)})}reset(span),reset(label_1),template_effect(()=>set_class(label_1,1,clsx(["mt-3 flex items-start gap-2",mcpStore.isProxyAvailable&&"cursor-pointer",!mcpStore.isProxyAvailable&&"opacity-80"]))),append($$anchor2,label_1)};if_block(node_2,$$render=>{!get$3(isWebSocket)&&
+$$props.onUseProxyChange&&$$render(consequent_2)})}reset(div_1);var node_5=sibling(div_1,2);KeyValuePairs(node_5,{class:"mt-2",get pairs(){return get$3(headerPairs)},onPairsChange:updateHeaderPairs,keyPlaceholder:"Header name",valuePlaceholder:"Value",addButtonLabel:"Add",emptyMessage:"No custom headers configured.",sectionLabel:"Custom Headers",sectionLabelOptional:!0}),reset(div),template_effect(()=>set_attribute(label,"for",`server-url-${id2()??""}`)),append($$anchor,div),pop()}var root$L=from_html(
+"<div></div>");function Skeleton($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var div=root$L();attribute_effect(div,$0=>({"data-slot":"skeleton",class:$0,...restProps}),[()=>cn$1("animate-pulse rounded-md bg-accent",$$props.class)]),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_4$m=from_html('<p class="text-xs text-destructive"> </p>'),root_5$g=from_html(
+'<p class="line-clamp-2 text-xs text-muted-foreground"> </p>'),root_6$i=from_html('<div class="space-y-2"><div class="flex items-center gap-2"><!> <!></div> <div class="flex flex-wrap gap-1.5"><!> <!> <!></div></div> <div class="space-y-1.5"><div class="flex items-center gap-2"><!> <!></div></div>',1),root_7$e=from_html("<!> <!> <!>",1),root_12$6=from_html('<div class="flex flex-wrap items-center gap-1"><span class="text-[10px] text-muted-foreground"> </span></div>'),root_3$v=from_html('<!> <!> \
+<!> <div class="grid gap-3"><!></div> <div class="flex justify-between gap-4"><!> <!></div>',1),root$K=from_html("<!> <!>",1);function McpServerCard($$anchor,$$props){push$1($$props,!0);let healthState=user_derived(()=>mcpStore.getHealthCheckState($$props.server.id)),displayName=user_derived(()=>mcpStore.getServerLabel($$props.server)),faviconUrl=user_derived(()=>mcpStore.getServerFavicon($$props.server.id)),isIdle=user_derived(()=>get$3(healthState).status===HealthCheckStatus.IDLE),isHealthChecking=user_derived(
+()=>get$3(healthState).status===HealthCheckStatus.CONNECTING),isConnected=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS),isError=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR),showSkeleton=user_derived(()=>get$3(isIdle)||get$3(isHealthChecking)),errorMessage=user_derived(()=>get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).message:void 0),tools=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS?get$3(healthState).
+tools:[]),connectionLogs=user_derived(()=>get$3(healthState).status===HealthCheckStatus.CONNECTING||get$3(healthState).status===HealthCheckStatus.SUCCESS||get$3(healthState).status===HealthCheckStatus.ERROR?get$3(healthState).logs:[]),successState=user_derived(()=>get$3(healthState).status===HealthCheckStatus.SUCCESS?get$3(healthState):null),serverInfo=user_derived(()=>get$3(successState)?.serverInfo),capabilities=user_derived(()=>get$3(successState)?.capabilities),transportType=user_derived(()=>get$3(
+successState)?.transportType),protocolVersion=user_derived(()=>get$3(successState)?.protocolVersion),connectionTimeMs=user_derived(()=>get$3(successState)?.connectionTimeMs),instructions=user_derived(()=>get$3(successState)?.instructions),isEditing2=user_derived(()=>!$$props.server.url.trim()),showDeleteDialog=state$1(!1),editFormRef=state$1(null);function handleHealthCheck(){mcpStore.runHealthCheck($$props.server)}async function startEditing(){set$1(isEditing2,!0),await tick(),get$3(editFormRef)?.
+setInitialValues($$props.server.url,$$props.server.headers||"",$$props.server.useProxy||!1)}function cancelEditing(){$$props.server.url.trim()?set$1(isEditing2,!1):$$props.onDelete()}function saveEditing(url2,headers,useProxy){$$props.onUpdate({url:url2,headers:headers||void 0,useProxy}),set$1(isEditing2,!1),$$props.server.enabled&&url2&&setTimeout(()=>mcpStore.runHealthCheck({...$$props.server,url:url2,useProxy}),100)}function handleDeleteClick(){set$1(showDeleteDialog,!0)}var fragment=root$K(),
+node2=first_child(fragment);component(node2,()=>Card,($$anchor2,Card_Root)=>{Card_Root($$anchor2,{class:"!gap-3 bg-muted/30 p-4",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{var consequent=$$anchor4=>{bind_this(McpServerCardEditForm($$anchor4,{get serverId(){return $$props.server.id},get serverUrl(){return $$props.server.url},get serverUseProxy(){return $$props.server.useProxy},onSave:saveEditing,onCancel:cancelEditing}),$$value=>set$1(editFormRef,
+$$value,!0),()=>get$3(editFormRef))},alternate_1=$$anchor4=>{var fragment_3=root_3$v(),node_2=first_child(fragment_3);{let $0=user_derived(()=>$$props.enabled??$$props.server.enabled);McpServerCardHeader(node_2,{get displayName(){return get$3(displayName)},get faviconUrl(){return get$3(faviconUrl)},get enabled(){return get$3($0)},get disabled(){return get$3(isError)},get onToggle(){return $$props.onToggle},get serverInfo(){return get$3(serverInfo)},get capabilities(){return get$3(capabilities)},
+get transportType(){return get$3(transportType)}})}var node_3=sibling(node_2,2);{var consequent_1=$$anchor5=>{var p2=root_4$m(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,get$3(errorMessage))),append($$anchor5,p2)};if_block(node_3,$$render=>{get$3(isError)&&get$3(errorMessage)&&$$render(consequent_1)})}var node_4=sibling(node_3,2);{var consequent_2=$$anchor5=>{var p_1=root_5$g(),text_1=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_1,get$3(serverInfo).description)),
+append($$anchor5,p_1)};if_block(node_4,$$render=>{get$3(isConnected)&&get$3(serverInfo)?.description&&$$render(consequent_2)})}var div=sibling(node_4,2),node_5=child(div);{var consequent_3=$$anchor5=>{var fragment_4=root_6$i(),div_1=first_child(fragment_4),div_2=child(div_1),node_6=child(div_2);Skeleton(node_6,{class:"h-4 w-4 rounded"});var node_7=sibling(node_6,2);Skeleton(node_7,{class:"h-3 w-24"}),reset(div_2);var div_3=sibling(div_2,2),node_8=child(div_3);Skeleton(node_8,{class:"h-5 w-16 rou\
+nded-full"});var node_9=sibling(node_8,2);Skeleton(node_9,{class:"h-5 w-20 rounded-full"});var node_10=sibling(node_9,2);Skeleton(node_10,{class:"h-5 w-14 rounded-full"}),reset(div_3),reset(div_1);var div_4=sibling(div_1,2),div_5=child(div_4),node_11=child(div_5);Skeleton(node_11,{class:"h-4 w-4 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-3 w-32"}),reset(div_5),reset(div_4),append($$anchor5,fragment_4)},alternate=$$anchor5=>{var fragment_5=root_7$e(),node_13=first_child(
+fragment_5);{var consequent_4=$$anchor6=>{McpServerInfo($$anchor6,{get instructions(){return get$3(instructions)}})};if_block(node_13,$$render=>{get$3(isConnected)&&get$3(instructions)&&$$render(consequent_4)})}var node_14=sibling(node_13,2);{var consequent_5=$$anchor6=>{McpServerCardToolsList($$anchor6,{get tools(){return get$3(tools)}})};if_block(node_14,$$render=>{get$3(tools).length>0&&$$render(consequent_5)})}var node_15=sibling(node_14,2);{var consequent_6=$$anchor6=>{McpConnectionLogs($$anchor6,
+{get logs(){return get$3(connectionLogs)},get connectionTimeMs(){return get$3(connectionTimeMs)}})};if_block(node_15,$$render=>{get$3(connectionLogs).length>0&&$$render(consequent_6)})}append($$anchor5,fragment_5)};if_block(node_5,$$render=>{get$3(showSkeleton)?$$render(consequent_3):$$render(alternate,-1)})}reset(div);var div_6=sibling(div,2),node_16=child(div_6);{var consequent_7=$$anchor5=>{Skeleton($$anchor5,{class:"h-3 w-28"})},consequent_8=$$anchor5=>{var div_7=root_12$6(),span=child(div_7),
+text_2=child(span);reset(span),reset(div_7),template_effect(()=>set_text(text_2,`Protocol version: ${get$3(protocolVersion)??""}`)),append($$anchor5,div_7)};if_block(node_16,$$render=>{get$3(showSkeleton)?$$render(consequent_7):get$3(protocolVersion)&&$$render(consequent_8,1)})}var node_17=sibling(node_16,2);McpServerCardActions(node_17,{get isHealthChecking(){return get$3(isHealthChecking)},onEdit:startEditing,onRefresh:handleHealthCheck,onDelete:handleDeleteClick}),reset(div_6),append($$anchor4,
+fragment_3)};if_block(node_1,$$render=>{get$3(isEditing2)?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})});var node_18=sibling(node2,2);McpServerCardDeleteDialog(node_18,{get displayName(){return get$3(displayName)},onOpenChange:open2=>set$1(showDeleteDialog,open2,!0),get onConfirm(){return $$props.onDelete},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),append($$anchor,fragment),pop()}var root_3$u=from_html(
+"<!> ",1),root_1$m=from_html('<div class="flex flex-wrap items-center gap-1.5"><!> <!></div>'),root$J=from_html('<div class="space-y-3"><div class="flex items-start justify-between gap-3"><div class="flex min-w-0 flex-col gap-3"><div class="inline-flex items-center gap-2"><!></div> <!></div> <div class="flex shrink-0 items-center pl-2"><!></div></div></div>');function McpServerCardHeader($$anchor,$$props){push$1($$props,!0);let disabled=prop($$props,"disabled",3,!1);var div=root$J(),div_1=child(
+div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);McpServerIdentity(node2,{get displayName(){return $$props.displayName},get faviconUrl(){return $$props.faviconUrl},get serverInfo(){return $$props.serverInfo},iconClass:"h-5 w-5",iconRounded:"rounded",nameClass:"leading-6 font-medium"}),reset(div_3);var node_1=sibling(div_3,2);{var consequent_3=$$anchor2=>{var div_4=root_1$m(),node_2=child(div_4);{var consequent_1=$$anchor3=>{const TransportIcon=user_derived(()=>MCP_TRANSPORT_ICONS[$$props.
+transportType]);Badge($$anchor3,{variant:"outline",class:"h-5 gap-1 px-1.5 text-[10px]",children:($$anchor4,$$slotProps)=>{var fragment_1=root_3$u(),node_3=first_child(fragment_1);{var consequent=$$anchor5=>{var fragment_2=comment$2(),node_4=first_child(fragment_2);component(node_4,()=>get$3(TransportIcon),($$anchor6,TransportIcon_1)=>{TransportIcon_1($$anchor6,{class:"h-3 w-3"})}),append($$anchor5,fragment_2)};if_block(node_3,$$render=>{get$3(TransportIcon)&&$$render(consequent)})}var text2=sibling(
+node_3);template_effect(()=>set_text(text2,` ${(MCP_TRANSPORT_LABELS[$$props.transportType]||$$props.transportType)??""}`)),append($$anchor4,fragment_1)},$$slots:{default:!0}})};if_block(node_2,$$render=>{$$props.transportType&&$$render(consequent_1)})}var node_5=sibling(node_2,2);{var consequent_2=$$anchor3=>{McpCapabilitiesBadges($$anchor3,{get capabilities(){return $$props.capabilities}})};if_block(node_5,$$render=>{$$props.capabilities&&$$render(consequent_2)})}reset(div_4),append($$anchor2,
+div_4)};if_block(node_1,$$render=>{($$props.capabilities||$$props.transportType)&&$$render(consequent_3)})}reset(div_2);var div_5=sibling(div_2,2),node_6=child(div_5);Switch(node_6,{get checked(){return $$props.enabled},get disabled(){return disabled()},get onCheckedChange(){return $$props.onToggle}}),reset(div_5),reset(div_1),reset(div),append($$anchor,div),pop()}var root$I=from_html('<div class="flex shrink-0 items-center gap-1"><!> <!> <!></div>');function McpServerCardActions($$anchor,$$props){
+var div=root$I(),node2=child(div);Button(node2,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onEdit},"aria-label":"Edit",children:($$anchor2,$$slotProps)=>{Pencil($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_1=sibling(node2,2);Button(node_1,{variant:"ghost",size:"icon",class:"h-7 w-7",get onclick(){return $$props.onRefresh},get disabled(){return $$props.isHealthChecking},"aria-label":"Refresh",children:($$anchor2,$$slotProps)=>{Refresh_cw($$anchor2,
+{class:"h-3.5 w-3.5"})},$$slots:{default:!0}});var node_2=sibling(node_1,2);Button(node_2,{variant:"ghost",size:"icon",class:"hover:text-destructive-foreground h-7 w-7 text-destructive hover:bg-destructive/10",get onclick(){return $$props.onDelete},"aria-label":"Delete",children:($$anchor2,$$slotProps)=>{Trash_2($$anchor2,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}}),reset(div),append($$anchor,div)}var root_2$C=from_html("<!> <span> </span>",1),root_8$g=from_html('<p class="mt-1 text-xs text-mu\
+ted-foreground"> </p>'),root_6$h=from_html("<div><!> <!></div>"),root_5$f=from_html('<div class="max-h-64 space-y-3 overflow-y-auto"></div>'),root_1$l=from_html("<!> <!>",1);function McpServerCardToolsList($$anchor,$$props){push$1($$props,!0);let isExpanded=state$1(!1),toolsCount=user_derived(()=>$$props.tools.length);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Collapsible,($$anchor2,Collapsible_Root)=>{Collapsible_Root($$anchor2,{get open(){return get$3(isExpanded)},
+set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$l(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor4,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$C(),node_2=first_child(fragment_2);{var consequent=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},
+alternate=$$anchor6=>{Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_2,$$render=>{get$3(isExpanded)?$$render(consequent):$$render(alternate,-1)})}var span=sibling(node_2,2),text2=child(span);reset(span),template_effect(()=>set_text(text2,`${get$3(toolsCount)??""} tools available · Show details`)),append($$anchor5,fragment_2)},$$slots:{default:!0}})});var node_3=sibling(node_1,2);component(node_3,()=>Collapsible_content,($$anchor4,Collapsible_Content)=>{Collapsible_Content($$anchor4,
+{class:"mt-2",children:($$anchor5,$$slotProps2)=>{var div=root_5$f();each(div,21,()=>$$props.tools,tool=>tool.name,($$anchor6,tool)=>{var div_1=root_6$h(),node_4=child(div_1);Badge(node_4,{variant:"secondary",children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(tool).name)),append($$anchor7,text_1)},$$slots:{default:!0}});var node_5=sibling(node_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$g(),text_2=child(p2,!0);reset(p2),template_effect(
+()=>set_text(text_2,get$3(tool).description)),append($$anchor7,p2)};if_block(node_5,$$render=>{get$3(tool).description&&$$render(consequent_1)})}reset(div_1),append($$anchor6,div_1)}),reset(div),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root$H=from_html('<div class="space-y-4"><p class="font-medium">Configure Server</p> <!> <div class="flex items-center justify-end gap-2"><!> <!></div></div>');function McpServerCardEditForm($$anchor,$$props){
+push$1($$props,!0);let serverUseProxy=prop($$props,"serverUseProxy",3,!1),editUrl=user_derived(()=>$$props.serverUrl),editHeaders=state$1(""),editUseProxy=user_derived(serverUseProxy),urlError=user_derived(()=>{if(!get$3(editUrl).trim())return"URL is required";try{return new URL(get$3(editUrl)),null}catch{return"Invalid URL format"}}),canSave=user_derived(()=>!get$3(urlError));function handleSave(){get$3(canSave)&&$$props.onSave(get$3(editUrl).trim(),get$3(editHeaders).trim(),get$3(editUseProxy))}
+function setInitialValues(url2,headers,useProxy){set$1(editUrl,url2),set$1(editHeaders,headers,!0),set$1(editUseProxy,useProxy)}var $$exports={setInitialValues},div=root$H(),node2=sibling(child(div),2);{let $0=user_derived(()=>get$3(editUrl)?get$3(urlError):null);McpServerForm(node2,{get url(){return get$3(editUrl)},get headers(){return get$3(editHeaders)},get useProxy(){return get$3(editUseProxy)},onUrlChange:v=>set$1(editUrl,v),onHeadersChange:v=>set$1(editHeaders,v,!0),onUseProxyChange:v=>set$1(
+editUseProxy,v),get urlError(){return get$3($0)},get id(){return $$props.serverId}})}var div_1=sibling(node2,2),node_1=child(div_1);Button(node_1,{variant:"secondary",size:"sm",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Cancel");append($$anchor2,text2)},$$slots:{default:!0}});var node_2=sibling(node_1,2);{let $0=user_derived(()=>!get$3(canSave));Button(node_2,{size:"sm",onclick:handleSave,get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{
+next$1();var text_1=text$8();template_effect($02=>set_text(text_1,$02),[()=>$$props.serverUrl.trim()?"Update":"Add"]),append($$anchor2,text_1)},$$slots:{default:!0}})}return reset(div_1),reset(div),append($$anchor,div),pop($$exports)}function Alert_dialog_title($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("te\
+xt-lg font-semibold",$$props.class));component(node2,()=>Dialog_title$1,($$anchor2,AlertDialogPrimitive_Title)=>{AlertDialogPrimitive_Title($$anchor2,spread_props({"data-slot":"alert-dialog-title",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_action($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy",
+"ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants(),$$props.class));component(node2,()=>Alert_dialog_action$1,($$anchor2,AlertDialogPrimitive_Action)=>{AlertDialogPrimitive_Action($$anchor2,spread_props({"data-slot":"alert-dialog-action",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}function Alert_dialog_cancel($$anchor,$$props){push$1($$props,
+!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(buttonVariants({variant:"outline"}),$$props.class));component(node2,()=>Alert_dialog_cancel$1,($$anchor2,AlertDialogPrimitive_Cancel)=>{AlertDialogPrimitive_Cancel($$anchor2,spread_props({"data-slot":"alert-dialog-cancel",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){
+ref2($$value)}}))})}append($$anchor,fragment),pop()}var root$G=from_html("<div><!></div>");function Alert_dialog_footer($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$G();attribute_effect(div,$0=>({"data-slot":"alert-dialog-footer",class:$0,...restProps}),[()=>cn$1("mt-6 flex flex-row gap-2 sm:mt-0 sm:justify-end [&>*]:flex-1 sm:[&>*]:flex-none",$$props.class)]);var node2=child(
+div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$F=from_html("<div><!></div>");function Alert_dialog_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$F();attribute_effect(div,$0=>({"data-slot":"alert-dialog-header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 \
+text-center sm:text-left",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}function Alert_dialog_overlay($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("fixed inset-0 z-50 bg-black/50 data-[st\
+ate=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0",$$props.class));component(node2,()=>Dialog_overlay$1,($$anchor2,AlertDialogPrimitive_Overlay)=>{AlertDialogPrimitive_Overlay($$anchor2,spread_props({"data-slot":"alert-dialog-overlay",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}var root_1$k=from_html("\
+<!> <!>",1);function Alert_dialog_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","portalProps"]);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,AlertDialogPrimitive_Portal)=>{AlertDialogPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$k(),node_1=first_child(fragment_1);
+Alert_dialog_overlay(node_1,{});var node_2=sibling(node_1,2);{let $0=user_derived(()=>cn$1("fixed z-[999999] grid w-full gap-4 border bg-background p-6 shadow-lg duration-200","right-0 bottom-0 left-0 max-h-[100dvh] translate-x-0 translate-y-0 overflow-y-auto rounded-t-lg","data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:slide-out-to-bottom-full","data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:s\
+lide-in-from-bottom-full","sm:top-[50%] sm:right-auto sm:bottom-auto sm:left-[50%] sm:max-h-[100vh] sm:max-w-lg sm:translate-x-[-50%] sm:translate-y-[-50%] sm:rounded-lg","sm:data-[state=closed]:slide-out-to-bottom-0 sm:data-[state=closed]:zoom-out-95","sm:data-[state=open]:slide-in-from-bottom-0 sm:data-[state=open]:zoom-in-95",$$props.class));component(node_2,()=>Alert_dialog_content$1,($$anchor4,AlertDialogPrimitive_Content)=>{AlertDialogPrimitive_Content($$anchor4,spread_props({"data-slot":"\
+alert-dialog-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}function Alert_dialog_description($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("text-sm text\
+-muted-foreground",$$props.class));component(node2,()=>Dialog_description$1,($$anchor2,AlertDialogPrimitive_Description)=>{AlertDialogPrimitive_Description($$anchor2,spread_props({"data-slot":"alert-dialog-description",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)}}))})}append($$anchor,fragment),pop()}const Root$1=Alert_dialog,Portal=Portal$2;var root_5$e=from_html(`Are you sure you want to delete <strong> </strong>? This action cannot be
+				undone.`,1),root_3$t=from_html("<!> <!>",1),root_6$g=from_html("<!> <!>",1),root_2$B=from_html("<!> <!>",1);function McpServerCardDeleteDialog($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{
+var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$B(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$t(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{
+AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Delete Server");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var fragment_4=root_5$e(),strong2=sibling(first_child(fragment_4)),text_1=child(strong2,!0);reset(strong2),next$1(),template_effect(()=>set_text(text_1,
+$$props.displayName)),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_6$g(),node_6=first_child(fragment_5);component(node_6,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();
+var text_2=text$8("Cancel");append($$anchor9,text_2)},$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{class:"text-destructive-foreground bg-destructive hover:bg-destructive/90",get onclick(){return $$props.onConfirm},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8("Delete");append($$anchor9,text_3)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),
+append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$j=from_html('<div class="flex items-center justify-between gap-4"><div class="flex items-center gap-2"><!> <!> <!></div> <!></div> <div class="flex flex-wrap gap-1.5"><!> <!> <!></div> <div class="space-y-1.5"><!> <!></div> <!> <div class="flex justify-end gap-2"><!> <!> <!></div>',1);function McpServerCardSkeleton($$anchor){Card($$anchor,{class:"\
+grid gap-3 p-4",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$j(),div=first_child(fragment_1),div_1=child(div),node2=child(div_1);Skeleton(node2,{class:"h-5 w-5 rounded"});var node_1=sibling(node2,2);Skeleton(node_1,{class:"h-5 w-28"});var node_2=sibling(node_1,2);Skeleton(node_2,{class:"h-5 w-12 rounded-full"}),reset(div_1);var node_3=sibling(div_1,2);Skeleton(node_3,{class:"h-6 w-11 rounded-full"}),reset(div);var div_2=sibling(div,2),node_4=child(div_2);Skeleton(node_4,{class:"h-5 w\
+-14 rounded-full"});var node_5=sibling(node_4,2);Skeleton(node_5,{class:"h-5 w-12 rounded-full"});var node_6=sibling(node_5,2);Skeleton(node_6,{class:"h-5 w-16 rounded-full"}),reset(div_2);var div_3=sibling(div_2,2),node_7=child(div_3);Skeleton(node_7,{class:"h-4 w-40"});var node_8=sibling(node_7,2);Skeleton(node_8,{class:"h-4 w-52"}),reset(div_3);var node_9=sibling(div_3,2);Skeleton(node_9,{class:"h-3.5 w-36"});var div_4=sibling(node_9,2),node_10=child(div_4);Skeleton(node_10,{class:"h-8 w-8 ro\
+unded"});var node_11=sibling(node_10,2);Skeleton(node_11,{class:"h-8 w-8 rounded"});var node_12=sibling(node_11,2);Skeleton(node_12,{class:"h-8 w-8 rounded"}),reset(div_4),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_1$i=from_html('<img alt=""/>'),root_4$l=from_html('<a target="_blank" rel="noopener noreferrer" class="shrink-0 text-muted-foreground hover:text-foreground" aria-label="Open website"><!></a>'),root$E=from_html('<span class="flex min-w-0 items-center gap-1.5"><!> <!>\
+ <!> <!></span>');function McpServerIdentity($$anchor,$$props){push$1($$props,!0);let faviconUrl=prop($$props,"faviconUrl",3,null),iconClass=prop($$props,"iconClass",3,"h-5 w-5"),iconRounded=prop($$props,"iconRounded",3,"rounded-sm"),showVersion=prop($$props,"showVersion",3,!0),showWebsite=prop($$props,"showWebsite",3,!0),safeWebsiteUrl=user_derived(()=>$$props.serverInfo?.websiteUrl?sanitizeExternalUrl($$props.serverInfo.websiteUrl):null);var span=root$E(),node2=child(span);{var consequent=$$anchor2=>{
+var img=root_1$i();template_effect(()=>{set_attribute(img,"src",faviconUrl()),set_class(img,1,clsx(["shrink-0",iconRounded(),iconClass()]))}),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append($$anchor2,img)};if_block(node2,$$render=>{faviconUrl()&&$$render(consequent)})}var node_1=sibling(node2,2);{let $0=user_derived(()=>$$props.displayName??""),$1=user_derived(()=>$$props.nameClass??"");TruncatedText(node_1,{get text(){return get$3($0)},get class(){return get$3(
+$1)}})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{Badge($$anchor2,{variant:"secondary",class:"h-4 min-w-0 shrink px-1 text-[10px]",children:($$anchor3,$$slotProps)=>{{let $0=user_derived(()=>`v${$$props.serverInfo.version}`);TruncatedText($$anchor3,{get text(){return get$3($0)}})}},$$slots:{default:!0}})};if_block(node_2,$$render=>{showVersion()&&$$props.serverInfo?.version&&$$render(consequent_1)})}var node_3=sibling(node_2,2);{var consequent_2=$$anchor2=>{var a=root_4$l(),node_4=child(
+a);External_link(node_4,{class:"h-3 w-3"}),reset(a),template_effect(()=>set_attribute(a,"href",get$3(safeWebsiteUrl))),delegated("click",a,e=>e.stopPropagation()),append($$anchor2,a)};if_block(node_3,$$render=>{showWebsite()&&get$3(safeWebsiteUrl)&&$$render(consequent_2)})}reset(span),append($$anchor,span),pop()}delegate(["click"]);var root_3$s=from_html("<!> <span>Server instructions</span>",1),root_6$f=from_html('<p class="rounded bg-muted/50 p-2 text-xs text-muted-foreground"> </p>'),root_2$A=from_html(
+"<!> <!>",1);function McpServerInfo($$anchor,$$props){let isExpanded=state$1(!1);var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor3,Collapsible_Root)=>{Collapsible_Root($$anchor3,{get class(){return $$props.class},get open(){return get$3(isExpanded)},set open($$value){set$1(isExpanded,$$value,!0)},children:($$anchor4,$$slotProps)=>{var fragment_2=root_2$A(),node_2=first_child(
+fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor5,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor5,{class:"flex w-full items-center gap-1 text-xs text-muted-foreground hover:text-foreground",children:($$anchor6,$$slotProps2)=>{var fragment_3=root_3$s(),node_3=first_child(fragment_3);{var consequent=$$anchor7=>{Chevron_down($$anchor7,{class:"h-3.5 w-3.5"})},alternate=$$anchor7=>{Chevron_right($$anchor7,{class:"h-3.5 w-3.5"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(
+consequent):$$render(alternate,-1)})}next$1(2),append($$anchor6,fragment_3)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Collapsible_content,($$anchor5,Collapsible_Content)=>{Collapsible_Content($$anchor5,{class:"mt-2",children:($$anchor6,$$slotProps2)=>{var p2=root_6$f(),text2=child(p2,!0);reset(p2),template_effect(()=>set_text(text2,$$props.instructions)),append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_2)},$$slots:{default:!0}})}),append(
+$$anchor2,fragment_1)};if_block(node2,$$render=>{$$props.instructions&&$$render(consequent_1)})}append($$anchor,fragment)}var root_2$z=from_html('<span class="text-xs text-muted-foreground/50">...</span>'),root_1$h=from_html('<span> <span class="text-destructive">*</span></span> <!>',1),root_4$k=from_html('<button type="button"> </button>'),root_3$r=from_html('<div class="absolute top-full right-0 left-0 z-10 mt-1 max-h-32 overflow-y-auto rounded-lg border border-border/50 bg-background shadow-l\
+g"></div>'),root$D=from_html('<div class="relative grid gap-1"><!> <!> <!></div>');function InputWithSuggestions($$anchor,$$props){push$1($$props,!0);let value=prop($$props,"value",3,""),suggestions=prop($$props,"suggestions",19,()=>[]),isLoadingSuggestions=prop($$props,"isLoadingSuggestions",3,!1),isAutocompleteActive=prop($$props,"isAutocompleteActive",3,!1),autocompleteIndex=prop($$props,"autocompleteIndex",3,0);var div=root$D(),node2=child(div);Label(node2,{get for(){return`tpl-arg-${$$props.
+name??""}`},class:"mb-1 text-muted-foreground",children:($$anchor2,$$slotProps)=>{var fragment=root_1$h(),span=first_child(fragment),text2=child(span);next$1(),reset(span);var node_1=sibling(span,2);{var consequent=$$anchor3=>{var span_1=root_2$z();append($$anchor3,span_1)};if_block(node_1,$$render=>{isLoadingSuggestions()&&$$render(consequent)})}template_effect(()=>set_text(text2,`${$$props.name??""} `)),append($$anchor2,fragment)},$$slots:{default:!0}});var node_2=sibling(node2,2);Input(node_2,
+{get id(){return`tpl-arg-${$$props.name??""}`},type:"text",get value(){return value()},oninput:e=>$$props.onInput(e.currentTarget.value),get onkeydown(){return $$props.onKeydown},get onblur(){return $$props.onBlur},get onfocus(){return $$props.onFocus},get placeholder(){return`Enter ${$$props.name??""}`},autocomplete:"off"});var node_3=sibling(node_2,2);{var consequent_1=$$anchor2=>{var div_1=root_3$r();each(div_1,22,suggestions,suggestion=>suggestion,($$anchor3,suggestion,i)=>{var button=root_4$k(),
+text_1=child(button,!0);reset(button),template_effect(()=>{set_class(button,1,`w-full px-3 py-1.5 text-left text-sm hover:bg-accent ${get$3(i)===autocompleteIndex()?"bg-accent":""}`),set_text(text_1,suggestion)}),delegated("mousedown",button,()=>$$props.onSelectSuggestion(suggestion)),append($$anchor3,button)}),reset(div_1),transition(3,div_1,()=>fly,()=>({y:-5,duration:100})),append($$anchor2,div_1)};if_block(node_3,$$render=>{isAutocompleteActive()&&suggestions().length>0&&$$render(consequent_1)})}
+reset(div),append($$anchor,div),pop()}delegate(["mousedown"]);var root_2$y=from_html('<span class="text-muted-foreground">(optional)</span>'),root_1$g=from_html('<span class="text-xs font-medium"> <!></span>'),root_4$j=from_html('<div class="flex items-start gap-2"><!> <textarea class="flex-1 resize-none rounded-md border border-input bg-transparent px-3 py-2 text-sm leading-5 placeholder:text-muted-foreground focus-visible:ring-1 focus-visible:ring-ring focus-visible:outline-none" rows="1"></te\
+xtarea> <button type="button" class="mt-1.5 shrink-0 cursor-pointer rounded-md p-1 text-muted-foreground hover:bg-destructive/10 hover:text-destructive" aria-label="Remove item"><!></button></div>'),root_3$q=from_html('<div class="space-y-3"></div>'),root_5$d=from_html('<p class="text-xs text-muted-foreground"> </p>'),root$C=from_html('<div><div class="mb-2 flex items-center justify-between"><!> <button type="button" class="inline-flex cursor-pointer items-center gap-1 rounded-md px-1.5 py-1 tex\
+t-xs text-muted-foreground hover:bg-muted hover:text-foreground"><!> </button></div> <!></div>');function KeyValuePairs($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),keyPlaceholder=prop($$props,"keyPlaceholder",3,"Key"),valuePlaceholder=prop($$props,"valuePlaceholder",3,"Value"),addButtonLabel=prop($$props,"addButtonLabel",3,"Add"),emptyMessage=prop($$props,"emptyMessage",3,"No items configured."),sectionLabelOptional=prop($$props,"sectionLabelOptional",3,!0);function addPair(){
+$$props.onPairsChange([...$$props.pairs,{key:"",value:""}])}function removePair(index2){$$props.onPairsChange($$props.pairs.filter((_,i)=>i!==index2))}function updatePairKey(index2,rawKey){const key2=sanitizeKeyValuePairKey(rawKey),newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],key:key2},$$props.onPairsChange(newPairs)}function trimPairKey(index2,key2){const trimmed=key2.trim();if(trimmed===key2)return;const newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],key:trimmed},
+$$props.onPairsChange(newPairs)}function updatePairValue(index2,rawValue){const value=sanitizeKeyValuePairValue(rawValue),newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],value},$$props.onPairsChange(newPairs)}function trimPairValue(index2,value){const trimmed=value.trim();if(trimmed===value)return;const newPairs=[...$$props.pairs];newPairs[index2]={...newPairs[index2],value:trimmed},$$props.onPairsChange(newPairs)}var div=root$C(),div_1=child(div),node2=child(div_1);{var consequent_1=$$anchor2=>{
+var span=root_1$g(),text2=child(span),node_1=sibling(text2);{var consequent=$$anchor3=>{var span_1=root_2$y();append($$anchor3,span_1)};if_block(node_1,$$render=>{sectionLabelOptional()&&$$render(consequent)})}reset(span),template_effect(()=>set_text(text2,`${$$props.sectionLabel??""} `)),append($$anchor2,span)};if_block(node2,$$render=>{$$props.sectionLabel&&$$render(consequent_1)})}var button=sibling(node2,2),node_2=child(button);Plus(node_2,{class:"h-3 w-3"});var text_1=sibling(node_2);reset(
+button),reset(div_1);var node_3=sibling(div_1,2);{var consequent_2=$$anchor2=>{var div_2=root_3$q();each(div_2,21,()=>$$props.pairs,index$2,($$anchor3,pair,index2)=>{var div_3=root_4$j(),node_4=child(div_3);Input(node_4,{type:"text",get placeholder(){return keyPlaceholder()},get value(){return get$3(pair).key},get maxlength(){return KEY_VALUE_PAIR_KEY_MAX_LENGTH},oninput:e=>updatePairKey(index2,e.currentTarget.value),onblur:e=>trimPairKey(index2,e.currentTarget.value),class:"flex-1"});var textarea=sibling(
+node_4,2);remove_textarea_child(textarea),action(textarea,$$node=>autoResizeTextarea?.($$node));var button_1=sibling(textarea,2),node_5=child(button_1);Trash_2(node_5,{class:"h-3.5 w-3.5"}),reset(button_1),reset(div_3),template_effect(()=>{set_attribute(textarea,"placeholder",valuePlaceholder()),set_value(textarea,get$3(pair).value),set_attribute(textarea,"maxlength",KEY_VALUE_PAIR_VALUE_MAX_LENGTH)}),delegated("input",textarea,e=>{updatePairValue(index2,e.currentTarget.value),autoResizeTextarea(
+e.currentTarget)}),event("blur",textarea,e=>trimPairValue(index2,e.currentTarget.value)),delegated("click",button_1,()=>removePair(index2)),append($$anchor3,div_3)}),reset(div_2),append($$anchor2,div_2)},alternate=$$anchor2=>{var p2=root_5$d(),text_2=child(p2,!0);reset(p2),template_effect(()=>set_text(text_2,emptyMessage())),append($$anchor2,p2)};if_block(node_3,$$render=>{$$props.pairs.length>0?$$render(consequent_2):$$render(alternate,-1)})}reset(div),template_effect(()=>{set_class(div,1,clsx(
+className())),set_text(text_1,` ${addButtonLabel()??""}`)}),delegated("click",button,addPair),append($$anchor,div),pop()}delegate(["click","input"]);var root$B=from_html('<div class="flex flex-col gap-2"><div class="mb-2 flex items-center gap-4"><!> <!></div> <h3 class="text-sm font-medium">Available resources</h3></div>');function McpResourcesBrowserHeader($$anchor,$$props){push$1($$props,!0);let searchQuery=prop($$props,"searchQuery",3,"");var div=root$B(),div_1=child(div),node2=child(div_1);SearchInput(
+node2,{placeholder:"Search resources...",get value(){return searchQuery()},onInput:value=>$$props.onSearch?.(value)});var node_1=sibling(node2,2);Button(node_1,{variant:"ghost",size:"sm",class:"h-8 w-8 p-0",get onclick(){return $$props.onRefresh},get disabled(){return $$props.isLoading},title:"Refresh resources",children:($$anchor2,$$slotProps)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent=$$anchor3=>{Loader_circle($$anchor3,{class:"h-4 w-4 animate-spin"})},alternate=$$anchor3=>{
+Refresh_cw($$anchor3,{class:"h-4 w-4"})};if_block(node_2,$$render=>{$$props.isLoading?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)},$$slots:{default:!0}}),reset(div_1),next$1(2),reset(div),append($$anchor,div),pop()}var root$A=from_html('<div class="py-4 text-center text-sm text-muted-foreground"><!></div>');function McpResourcesBrowserEmptyState($$anchor,$$props){var div=root$A(),node2=child(div);{var consequent=$$anchor2=>{var text2=text$8("Loading resources...");append(
+$$anchor2,text2)},alternate=$$anchor2=>{var text_1=text$8("No resources available");append($$anchor2,text_1)};if_block(node2,$$render=>{$$props.isLoading?$$render(consequent):$$render(alternate,-1)})}reset(div),append($$anchor,div)}function resourceMatchesSearch(resource,query){return resource.title?.toLowerCase().includes(query)||resource.uri.toLowerCase().includes(query)}function buildResourceTree(resourceList,serverName,searchQuery){const root2={name:"root",children:new Map};if(!searchQuery||
+!searchQuery.trim()){for(const resource of resourceList){const pathParts=parseResourcePath(resource.uri);let current2=root2;for(let i=0;i<pathParts.length-1;i++){const part=pathParts[i];current2.children.has(part)||current2.children.set(part,{name:part,children:new Map}),current2=current2.children.get(part)}const fileName=pathParts[pathParts.length-1]||resource.name;current2.children.set(resource.uri,{name:fileName,resource:{...resource,serverName},children:new Map})}return root2}const query=searchQuery.
+toLowerCase();for(const resource of resourceList){if(!resourceMatchesSearch(resource,query))continue;const pathParts=parseResourcePath(resource.uri);let current2=root2;for(let i=0;i<pathParts.length-1;i++){const part=pathParts[i];current2.children.has(part)||current2.children.set(part,{name:part,children:new Map,isFiltered:!0}),current2=current2.children.get(part)}const fileName=pathParts[pathParts.length-1]||resource.name;current2.children.set(resource.uri,{name:fileName,resource:{...resource,serverName},
+children:new Map,isFiltered:!0})}function cleanupEmptyFolders(node2){if(node2.resource)return!0;const toDelete=[];for(const[name,child2]of node2.children.entries())cleanupEmptyFolders(child2)||toDelete.push(name);for(const name of toDelete)node2.children.delete(name);return node2.children.size>0}return cleanupEmptyFolders(root2),root2}function countTreeResources(node2){if(node2.resource)return 1;let count=0;for(const child2 of node2.children.values())count+=countTreeResources(child2);return count}
+function sortTreeChildren(children){return children.sort((a,b)=>{const aIsFolder=!a.resource&&a.children.size>0,bIsFolder=!b.resource&&b.children.size>0;return aIsFolder&&!bIsFolder?-1:!aIsFolder&&bIsFolder?1:a.name.localeCompare(b.name)})}var root_4$i=from_html('<!> <!> <span class="font-medium"> </span> <span class="text-xs text-muted-foreground"> </span>',1),root_7$d=from_html('<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2"></div>'),root_3$p=from_html("<!> <!>",1),root_9$a=from_html(
+'<div class="group flex w-full items-center gap-2"><!> <button><!> <span class="min-w-0 flex-1 truncate text-left"> </span></button></div>'),root_12$5=from_html('<!> <span class="inline-flex flex-col items-start gap-1 text-left"><div class="inline-flex min-w-0 items-center gap-1.5"><!></div> <span class="text-xs text-muted-foreground"> <!>)</span></span> <!>',1),root_18$3=from_html('<div class="py-1 text-xs text-red-500"> </div>'),root_19$5=from_html('<div class="py-1 text-xs text-muted-foregrou\
+nd">No resources</div>'),root_24=from_html('<div class="my-1 border-t border-border/30"></div>'),root_25$2=from_html('<button><!> <span class="min-w-0 flex-1 truncate text-left"> </span></button>'),root_23$2=from_html('<!> <div class="py-0.5 text-[11px] font-medium tracking-wide text-muted-foreground/70 uppercase">Templates</div> <!>',1),root_20$1=from_html("<!> <!>",1),root_17$3=from_html('<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2"><!></div>'),root_11$6=from_html("<!\
+> <!>",1);function McpResourcesBrowserServerItem($$anchor,$$props){push$1($$props,!0);const renderTreeNode=($$anchor2,node2=noop$3,depth=noop$3,parentPath=noop$3)=>{const isFolder=user_derived(()=>!node2().resource&&node2().children.size>0),folderId=user_derived(()=>`${$$props.serverName}:${parentPath()}/${node2().name}`),isFolderExpanded=user_derived(()=>$$props.expandedFolders.has(get$3(folderId)));var fragment=comment$2(),node_1=first_child(fragment);{var consequent_1=$$anchor3=>{const folderCount=user_derived(
+()=>countTreeResources(node2()));var fragment_1=comment$2(),node_2=first_child(fragment_1);component(node_2,()=>Collapsible,($$anchor4,Collapsible_Root)=>{Collapsible_Root($$anchor4,{get open(){return get$3(isFolderExpanded)},onOpenChange:()=>$$props.onToggleFolder(get$3(folderId)),children:($$anchor5,$$slotProps)=>{var fragment_2=root_3$p(),node_3=first_child(fragment_2);component(node_3,()=>Collapsible_trigger,($$anchor6,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor6,{class:"flex w-full \
+items-center gap-2 rounded px-2 py-1 text-sm hover:bg-muted/50",children:($$anchor7,$$slotProps2)=>{var fragment_3=root_4$i(),node_4=first_child(fragment_3);{var consequent=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3 w-3"})},alternate=$$anchor8=>{Chevron_right($$anchor8,{class:"h-3 w-3"})};if_block(node_4,$$render=>{get$3(isFolderExpanded)?$$render(consequent):$$render(alternate,-1)})}var node_5=sibling(node_4,2);Folder_open(node_5,{class:"h-3.5 w-3.5 text-muted-foreground"});var span=sibling(
+node_5,2),text2=child(span,!0);reset(span);var span_1=sibling(span,2),text_1=child(span_1);reset(span_1),template_effect(()=>{set_text(text2,node2().name),set_text(text_1,`(${get$3(folderCount)??""})`)}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Collapsible_content,($$anchor6,Collapsible_Content)=>{Collapsible_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var div=root_7$d();each(div,21,()=>sortTreeChildren([...node2().children.
+values()]),child2=>child2.resource?.uri||`${$$props.serverName}:${parentPath()}/${node2().name}/${child2.name}`,($$anchor8,child2)=>{renderTreeNode($$anchor8,()=>get$3(child2),()=>depth()+1,()=>`${parentPath()}/${node2().name}`)}),reset(div),append($$anchor7,div)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},consequent_3=$$anchor3=>{const resource=user_derived(()=>node2().resource),ResourceIcon=user_derived(()=>getResourceIcon(get$3(
+resource).mimeType,get$3(resource).uri)),isSelected=user_derived(()=>isResourceSelected(get$3(resource))),resourceDisplayName=user_derived(()=>get$3(resource).title||getDisplayName(node2().name));var div_1=root_9$a(),node_7=child(div_1);{var consequent_2=$$anchor4=>{Checkbox($$anchor4,{get checked(){return get$3(isSelected)},onCheckedChange:checked=>handleCheckboxChange(get$3(resource),checked===!0),class:"h-4 w-4"})};if_block(node_7,$$render=>{$$props.onToggle&&$$render(consequent_2)})}var button=sibling(
+node_7,2),node_8=child(button);component(node_8,()=>get$3(ResourceIcon),($$anchor4,ResourceIcon_1)=>{ResourceIcon_1($$anchor4,{class:"h-3.5 w-3.5 shrink-0 text-muted-foreground"})});var span_2=sibling(node_8,2),text_2=child(span_2,!0);reset(span_2),reset(button),reset(div_1),template_effect(()=>{set_class(button,1,clsx(["flex flex-1 items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors","hover:bg-muted/50",get$3(isSelected)&&"bg-muted"])),set_attribute(button,"title",get$3(resourceDisplayName)),
+set_text(text_2,get$3(resourceDisplayName))}),delegated("click",button,e=>handleResourceClick(get$3(resource),e)),append($$anchor3,div_1)};if_block(node_1,$$render=>{get$3(isFolder)?$$render(consequent_1):node2().resource&&$$render(consequent_3,1)})}append($$anchor2,fragment)};let searchQuery=prop($$props,"searchQuery",3,""),serverDisplayName=user_derived(()=>mcpStore.getServerDisplayName($$props.serverName)),serverFaviconUrl=user_derived(()=>mcpStore.getServerFavicon($$props.serverName));const hasResources=user_derived(
+()=>$$props.serverRes.resources.length>0),hasTemplates=user_derived(()=>$$props.serverRes.templates.length>0),hasContent=user_derived(()=>get$3(hasResources)||get$3(hasTemplates)),resourceTree=user_derived(()=>buildResourceTree($$props.serverRes.resources,$$props.serverName,searchQuery())),templateInfos=user_derived(()=>$$props.serverRes.templates.map(t=>({uriTemplate:t.uriTemplate,name:t.name,title:t.title,description:t.description,mimeType:t.mimeType,serverName:$$props.serverName,annotations:t.
+annotations,icons:t.icons})));function handleResourceClick(resource,event2){$$props.onSelect?.(resource,event2.shiftKey)}function handleCheckboxChange(resource,checked){$$props.onToggle?.(resource,checked)}function isResourceSelected(resource){return $$props.selectedUris.has(resource.uri)}var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Collapsible,($$anchor2,Collapsible_Root_1)=>{Collapsible_Root_1($$anchor2,{get open(){return $$props.isExpanded},get onOpenChange(){
+return $$props.onToggleServer},children:($$anchor3,$$slotProps)=>{var fragment_9=root_11$6(),node_10=first_child(fragment_9);component(node_10,()=>Collapsible_trigger,($$anchor4,Collapsible_Trigger_1)=>{Collapsible_Trigger_1($$anchor4,{class:"flex w-full items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50",children:($$anchor5,$$slotProps2)=>{var fragment_10=root_12$5(),node_11=first_child(fragment_10);{var consequent_4=$$anchor6=>{Chevron_down($$anchor6,{class:"h-3.5 w-3.5"})},alternate_1=$$anchor6=>{
+Chevron_right($$anchor6,{class:"h-3.5 w-3.5"})};if_block(node_11,$$render=>{$$props.isExpanded?$$render(consequent_4):$$render(alternate_1,-1)})}var span_3=sibling(node_11,2),div_2=child(span_3),node_12=child(div_2);McpServerIdentity(node_12,{get displayName(){return get$3(serverDisplayName)},get faviconUrl(){return get$3(serverFaviconUrl)},iconClass:"h-4 w-4",showVersion:!1}),reset(div_2);var span_4=sibling(div_2,2),text_3=child(span_4),node_13=sibling(text_3);{var consequent_5=$$anchor6=>{var text_4=text$8();
+template_effect(()=>set_text(text_4,`, ${$$props.serverRes.templates.length??""} template${$$props.serverRes.templates.length!==1?"s":""}`)),append($$anchor6,text_4)};if_block(node_13,$$render=>{get$3(hasTemplates)&&$$render(consequent_5)})}next$1(),reset(span_4),reset(span_3);var node_14=sibling(span_3,2);{var consequent_6=$$anchor6=>{Loader_circle($$anchor6,{class:"ml-auto h-3 w-3 animate-spin text-muted-foreground"})};if_block(node_14,$$render=>{$$props.serverRes.loading&&$$render(consequent_6)})}
+template_effect(()=>set_text(text_3,`(${$$props.serverRes.resources.length??""} resource${$$props.serverRes.resources.length!==1?"s":""}`)),append($$anchor5,fragment_10)},$$slots:{default:!0}})});var node_15=sibling(node_10,2);component(node_15,()=>Collapsible_content,($$anchor4,Collapsible_Content_1)=>{Collapsible_Content_1($$anchor4,{children:($$anchor5,$$slotProps2)=>{var div_3=root_17$3(),node_16=child(div_3);{var consequent_7=$$anchor6=>{var div_4=root_18$3(),text_5=child(div_4);reset(div_4),
+template_effect(()=>set_text(text_5,`Error: ${$$props.serverRes.error??""}`)),append($$anchor6,div_4)},consequent_8=$$anchor6=>{var div_5=root_19$5();append($$anchor6,div_5)},alternate_2=$$anchor6=>{var fragment_15=root_20$1(),node_17=first_child(fragment_15);{var consequent_9=$$anchor7=>{var fragment_16=comment$2(),node_18=first_child(fragment_16);each(node_18,17,()=>sortTreeChildren([...get$3(resourceTree).children.values()]),child2=>child2.resource?.uri||`${$$props.serverName}:${child2.name}`,
+($$anchor8,child2)=>{renderTreeNode($$anchor8,()=>get$3(child2),()=>1,()=>"")}),append($$anchor7,fragment_16)};if_block(node_17,$$render=>{get$3(hasResources)&&$$render(consequent_9)})}var node_19=sibling(node_17,2);{var consequent_11=$$anchor7=>{var fragment_18=root_23$2(),node_20=first_child(fragment_18);{var consequent_10=$$anchor8=>{var div_6=root_24();append($$anchor8,div_6)};if_block(node_20,$$render=>{get$3(hasResources)&&$$render(consequent_10)})}var node_21=sibling(node_20,4);each(node_21,
+17,()=>get$3(templateInfos),template=>template.uriTemplate,($$anchor8,template)=>{var button_1=root_25$2(),node_22=child(button_1);Braces(node_22,{class:"h-3.5 w-3.5 shrink-0 text-muted-foreground"});var span_5=sibling(node_22,2),text_6=child(span_5,!0);reset(span_5),reset(button_1),template_effect(()=>{set_class(button_1,1,clsx(["flex w-full items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors","hover:bg-muted/50",$$props.selectedTemplateUri===get$3(template).uriTemplate&&"b\
+g-muted"])),set_attribute(button_1,"title",get$3(template).uriTemplate),set_text(text_6,get$3(template).title||get$3(template).name)}),delegated("click",button_1,()=>$$props.onTemplateSelect(get$3(template))),append($$anchor8,button_1)}),append($$anchor7,fragment_18)};if_block(node_19,$$render=>{get$3(hasTemplates)&&$$props.onTemplateSelect&&$$render(consequent_11)})}append($$anchor6,fragment_15)};if_block(node_16,$$render=>{$$props.serverRes.error?$$render(consequent_7):get$3(hasContent)?$$render(
+alternate_2,-1):$$render(consequent_8,1)})}reset(div_3),append($$anchor5,div_3)},$$slots:{default:!0}})}),append($$anchor3,fragment_9)},$$slots:{default:!0}})}),append($$anchor,fragment_8),pop()}delegate(["click"]);var root$z=from_html('<div><!> <div class="flex flex-col gap-1"><!></div></div>');function McpResourcesBrowser($$anchor,$$props){push$1($$props,!0);let selectedUris=prop($$props,"selectedUris",19,()=>new Set),expandedServers=new SvelteSet,expandedFolders=new SvelteSet,searchQuery=state$1(
+"");const resources=user_derived(mcpResources),isLoading2=user_derived(mcpResourcesLoading),filteredResources=user_derived(()=>{if(!get$3(searchQuery).trim())return get$3(resources);const query=get$3(searchQuery).toLowerCase(),filtered=new SvelteMap;for(const[serverName,serverRes]of get$3(resources).entries()){const filteredResources2=serverRes.resources.filter(r2=>r2.title?.toLowerCase().includes(query)||r2.uri.toLowerCase().includes(query)||serverName.toLowerCase().includes(query)),filteredTemplates=serverRes.
+templates.filter(t=>t.name?.toLowerCase().includes(query)||t.title?.toLowerCase().includes(query)||t.uriTemplate.toLowerCase().includes(query)||serverName.toLowerCase().includes(query));(filteredResources2.length>0||filteredTemplates.length>0||query.trim())&&filtered.set(serverName,{...serverRes,resources:filteredResources2,templates:filteredTemplates})}return filtered});user_effect(()=>{$$props.expandToUri&&get$3(resources).size>0&&autoExpandToResource($$props.expandToUri)});function autoExpandToResource(uri2){
+for(const[serverName,serverRes]of get$3(resources).entries())if(serverRes.resources.find(r2=>r2.uri===uri2)){expandedServers.add(serverName);const pathParts=parseResourcePath(uri2);if(pathParts.length>1){let currentPath="";for(let i=0;i<pathParts.length-1;i++){currentPath=`${currentPath}/${pathParts[i]}`;const folderId=`${serverName}:${currentPath}`;expandedFolders.add(folderId)}}break}}function toggleServer(serverName){expandedServers.has(serverName)?expandedServers.delete(serverName):expandedServers.
+add(serverName)}function toggleFolder(folderId){expandedFolders.has(folderId)?expandedFolders.delete(folderId):expandedFolders.add(folderId)}function handleRefresh(){mcpStore.fetchAllResources()}var div=root$z(),node2=child(div);McpResourcesBrowserHeader(node2,{get isLoading(){return get$3(isLoading2)},onRefresh:handleRefresh,onSearch:q2=>set$1(searchQuery,q2,!0),get searchQuery(){return get$3(searchQuery)}});var div_1=sibling(node2,2),node_1=child(div_1);{var consequent=$$anchor2=>{McpResourcesBrowserEmptyState(
+$$anchor2,{get isLoading(){return get$3(isLoading2)}})},alternate=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);each(node_2,17,()=>[...get$3(filteredResources).entries()],([serverName,serverRes])=>serverName,($$anchor3,$$item)=>{var $$array=user_derived(()=>to_array(get$3($$item),2));let serverName=()=>get$3($$array)[0],serverRes=()=>get$3($$array)[1];{let $0=user_derived(()=>expandedServers.has(serverName()));McpResourcesBrowserServerItem($$anchor3,{get serverName(){return serverName()},
+get serverRes(){return serverRes()},get isExpanded(){return get$3($0)},get selectedUris(){return selectedUris()},get selectedTemplateUri(){return $$props.selectedTemplateUri},get expandedFolders(){return expandedFolders},onToggleServer:()=>toggleServer(serverName()),onToggleFolder:toggleFolder,get onSelect(){return $$props.onSelect},get onToggle(){return $$props.onToggle},get onTemplateSelect(){return $$props.onTemplateSelect},get searchQuery(){return get$3(searchQuery)}})}}),append($$anchor2,fragment_1)};
+if_block(node_1,$$render=>{get$3(filteredResources).size===0?$$render(consequent):$$render(alternate,-1)})}reset(div_1),reset(div),template_effect(()=>set_class(div,1,clsx(["flex flex-col gap-2",$$props.class]))),append($$anchor,div),pop()}var root_1$f=from_html('<div class="flex flex-col items-center justify-center gap-2 py-8 text-muted-foreground"><!> <span class="text-sm">Select a resource to preview</span></div>'),root_3$o=from_html('<p class="mt-1 text-sm text-muted-foreground"> </p>'),root_5$c=from_html(
+'<div class="flex items-center justify-center py-8"><!></div>'),root_6$e=from_html('<div class="flex flex-col items-center justify-center gap-2 py-8 text-red-500"><!> <span class="text-sm"> </span></div>'),root_8$f=from_html('<pre class="font-mono text-xs break-words whitespace-pre-wrap"> </pre>'),root_10$6=from_html('<img alt="Resource content" class="max-w-full rounded"/>'),root_11$5=from_html('<div class="flex items-center gap-2 rounded bg-muted p-2 text-sm text-muted-foreground"><!> <span> <\
+/span></div>'),root_12$4=from_html('<div class="py-4 text-center text-sm text-muted-foreground">No content available</div>'),root_7$c=from_html("<!> <!> <!>",1),root_14$3=from_html('<span class="rounded bg-muted px-1.5 py-0.5"> </span>'),root_15$5=from_html('<span class="rounded bg-muted px-1.5 py-0.5"> </span>'),root_13$4=from_html('<div class="flex flex-wrap gap-2 text-xs text-muted-foreground"><!> <!> <span class="rounded bg-muted px-1.5 py-0.5"> </span></div>'),root_2$x=from_html('<div class\
+="flex items-start justify-between gap-2"><div class="min-w-0 flex-1"><h3 class="truncate font-medium"> </h3> <p class="truncate text-xs text-muted-foreground"> </p> <!></div> <div class="flex items-center gap-1"><!> <!></div></div> <div class="min-h-[200px] overflow-auto rounded-md border bg-muted/30 p-3 break-all"><!></div> <!>',1),root$y=from_html("<div><!></div>");function McpResourcePreview($$anchor,$$props){push$1($$props,!0);let content2=state$1(null),isLoading2=state$1(!1),error2=state$1(
+null);user_effect(()=>{$$props.resource?$$props.preloadedContent?(set$1(content2,$$props.preloadedContent,!0),set$1(isLoading2,!1),set$1(error2,null)):loadContent($$props.resource.uri):(set$1(content2,null),set$1(error2,null))});async function loadContent(uri2){set$1(isLoading2,!0),set$1(error2,null);try{const result=await mcpStore.readResource(uri2);result?set$1(content2,result,!0):set$1(error2,"Failed to load resource content")}catch(e){set$1(error2,e instanceof Error?e.message:"Unknown error",
+!0)}finally{set$1(isLoading2,!1)}}function handleDownload(){const text2=getResourceTextContent(get$3(content2));!text2||!$$props.resource||downloadResourceContent(text2,$$props.resource.mimeType||MimeTypeText.PLAIN,$$props.resource.name||"resource.txt")}var div=root$y(),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$f(),node_1=child(div_1);File_text(node_1,{class:"h-8 w-8 opacity-50"}),next$1(2),reset(div_1),append($$anchor2,div_1)},alternate_1=$$anchor2=>{var fragment=root_2$x(),
+div_2=first_child(fragment),div_3=child(div_2),h3=child(div_3),text_1=child(h3,!0);reset(h3);var p2=sibling(h3,2),text_2=child(p2,!0);reset(p2);var node_2=sibling(p2,2);{var consequent_1=$$anchor3=>{var p_1=root_3$o(),text_3=child(p_1,!0);reset(p_1),template_effect(()=>set_text(text_3,$$props.resource.description)),append($$anchor3,p_1)};if_block(node_2,$$render=>{$$props.resource.description&&$$render(consequent_1)})}reset(div_3);var div_4=sibling(div_3,2),node_3=child(div_4);{let $0=user_derived(
+()=>getResourceTextContent(get$3(content2))),$1=user_derived(()=>!get$3(isLoading2)&&!!getResourceTextContent(get$3(content2)));ActionIconCopyToClipboard(node_3,{get text(){return get$3($0)},get canCopy(){return get$3($1)},ariaLabel:"Copy content"})}var node_4=sibling(node_3,2);{let $0=user_derived(()=>get$3(isLoading2)||!getResourceTextContent(get$3(content2)));Button(node_4,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$3($0)},title:"Download co\
+ntent",children:($$anchor3,$$slotProps)=>{Download($$anchor3,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_4),reset(div_2);var div_5=sibling(div_2,2),node_5=child(div_5);{var consequent_2=$$anchor3=>{var div_6=root_5$c(),node_6=child(div_6);Loader_circle(node_6,{class:"h-6 w-6 animate-spin text-muted-foreground"}),reset(div_6),append($$anchor3,div_6)},consequent_3=$$anchor3=>{var div_7=root_6$e(),node_7=child(div_7);Circle_alert(node_7,{class:"h-6 w-6"});var span=sibling(node_7,2),text_4=child(
+span,!0);reset(span),reset(div_7),template_effect(()=>set_text(text_4,get$3(error2))),append($$anchor3,div_7)},consequent_7=$$anchor3=>{const textContent=user_derived(()=>getResourceTextContent(get$3(content2))),blobContent=user_derived(()=>getResourceBlobContent(get$3(content2)));var fragment_2=root_7$c(),node_8=first_child(fragment_2);{var consequent_4=$$anchor4=>{var pre=root_8$f(),text_5=child(pre,!0);reset(pre),template_effect(()=>set_text(text_5,get$3(textContent))),append($$anchor4,pre)};
+if_block(node_8,$$render=>{get$3(textContent)&&$$render(consequent_4)})}var node_9=sibling(node_8,2);each(node_9,17,()=>get$3(blobContent),blob=>blob.uri,($$anchor4,blob)=>{var fragment_3=comment$2(),node_10=first_child(fragment_3);{var consequent_5=$$anchor5=>{var img=root_10$6();template_effect($0=>set_attribute(img,"src",$0),[()=>createBase64DataUrl(get$3(blob).mimeType??MimeTypeApplication.OCTET_STREAM,get$3(blob).blob)]),append($$anchor5,img)},d2=user_derived(()=>isImageMimeType(get$3(blob).
+mimeType??MimeTypeApplication.OCTET_STREAM)),alternate=$$anchor5=>{var div_8=root_11$5(),node_11=child(div_8);File_text(node_11,{class:"h-4 w-4"});var span_1=sibling(node_11,2),text_6=child(span_1);reset(span_1),reset(div_8),template_effect(()=>set_text(text_6,`Binary content (${(get$3(blob).mimeType||"unknown type")??""})`)),append($$anchor5,div_8)};if_block(node_10,$$render=>{get$3(d2)?$$render(consequent_5):$$render(alternate,-1)})}append($$anchor4,fragment_3)});var node_12=sibling(node_9,2);
+{var consequent_6=$$anchor4=>{var div_9=root_12$4();append($$anchor4,div_9)};if_block(node_12,$$render=>{!get$3(textContent)&&get$3(blobContent).length===0&&$$render(consequent_6)})}append($$anchor3,fragment_2)};if_block(node_5,$$render=>{get$3(isLoading2)?$$render(consequent_2):get$3(error2)?$$render(consequent_3,1):get$3(content2)&&$$render(consequent_7,2)})}reset(div_5);var node_13=sibling(div_5,2);{var consequent_10=$$anchor3=>{var div_10=root_13$4(),node_14=child(div_10);{var consequent_8=$$anchor4=>{
+var span_2=root_14$3(),text_7=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_7,$$props.resource.mimeType)),append($$anchor4,span_2)};if_block(node_14,$$render=>{$$props.resource.mimeType&&$$render(consequent_8)})}var node_15=sibling(node_14,2);{var consequent_9=$$anchor4=>{var span_3=root_15$5(),text_8=child(span_3);reset(span_3),template_effect(()=>set_text(text_8,`Priority: ${$$props.resource.annotations.priority??""}`)),append($$anchor4,span_3)};if_block(node_15,$$render=>{$$props.
+resource.annotations?.priority!==void 0&&$$render(consequent_9)})}var span_4=sibling(node_15,2),text_9=child(span_4);reset(span_4),reset(div_10),template_effect(()=>set_text(text_9,`Server: ${$$props.resource.serverName??""}`)),append($$anchor3,div_10)};if_block(node_13,$$render=>{($$props.resource.mimeType||$$props.resource.annotations)&&$$render(consequent_10)})}template_effect(()=>{set_text(text_1,$$props.resource.title||$$props.resource.name),set_text(text_2,$$props.resource.uri)}),append($$anchor2,
+fragment)};if_block(node2,$$render=>{$$props.resource?$$render(alternate_1,-1):$$render(consequent)})}reset(div),template_effect(()=>set_class(div,1,clsx(["flex flex-col gap-3",$$props.class]))),append($$anchor,div),pop()}var root_2$w=from_html('<div class="rounded-md bg-muted/50 px-3 py-2"><p class="text-xs text-muted-foreground">Resolved URI:</p> <p class="mt-0.5 font-mono text-xs break-all"> </p></div>'),root$x=from_html('<form class="space-y-3"><!> <!> <div class="flex justify-end gap-2 pt-1\
+"><!> <!></div></form>');function McpResourceTemplateForm($$anchor,$$props){push$1($$props,!0);const variables=user_derived(()=>extractTemplateVariables($$props.template.uriTemplate));let values=proxy({}),suggestions=proxy({}),loadingSuggestions=proxy({}),activeAutocomplete=state$1(null),autocompleteIndex=state$1(0);const expandedUri=user_derived(()=>expandTemplate($$props.template.uriTemplate,values)),isComplete=user_derived(()=>isTemplateComplete($$props.template.uriTemplate,values)),fetchCompletions=debounce(
+async(argName,value)=>{if(value.length<1){suggestions[argName]=[];return}loadingSuggestions[argName]=!0;try{const result=await mcpStore.getResourceCompletions($$props.template.serverName,$$props.template.uriTemplate,argName,value);if(result&&result.values.length>0){const filteredValues=result.values.filter(v=>v.trim()!=="");filteredValues.length>0?(suggestions[argName]=filteredValues,set$1(activeAutocomplete,argName,!0),set$1(autocompleteIndex,0)):suggestions[argName]=[]}else suggestions[argName]=
+[]}catch(error2){console.error("[McpResourceTemplateForm] Failed to fetch completions:",error2),suggestions[argName]=[]}finally{loadingSuggestions[argName]=!1}},200);function handleArgInput(argName,value){values[argName]=value,fetchCompletions(argName,value)}function selectSuggestion(argName,value){values[argName]=value,suggestions[argName]=[],set$1(activeAutocomplete,null)}function handleArgKeydown(event2,argName){const argSuggestions=suggestions[argName]??[];if(event2.key===KeyboardKey.ESCAPE){
+event2.preventDefault(),event2.stopPropagation(),argSuggestions.length>0&&get$3(activeAutocomplete)===argName?(suggestions[argName]=[],set$1(activeAutocomplete,null)):$$props.onCancel();return}argSuggestions.length===0||get$3(activeAutocomplete)!==argName||(event2.key===KeyboardKey.ARROW_DOWN?(event2.preventDefault(),set$1(autocompleteIndex,Math.min(get$3(autocompleteIndex)+1,argSuggestions.length-1),!0)):event2.key===KeyboardKey.ARROW_UP?(event2.preventDefault(),set$1(autocompleteIndex,Math.max(
+get$3(autocompleteIndex)-1,0),!0)):event2.key===KeyboardKey.ENTER&&argSuggestions[get$3(autocompleteIndex)]&&(event2.preventDefault(),event2.stopPropagation(),selectSuggestion(argName,argSuggestions[get$3(autocompleteIndex)])))}function handleArgBlur(argName){setTimeout(()=>{get$3(activeAutocomplete)===argName&&(suggestions[argName]=[],set$1(activeAutocomplete,null))},150)}function handleArgFocus(argName){const value=values[argName]??"";value.length>=MIN_AUTOCOMPLETE_INPUT_LENGTH&&fetchCompletions(
+argName,value)}function handleSubmit(event2){event2.preventDefault(),get$3(isComplete)&&$$props.onResolve(get$3(expandedUri),$$props.template.serverName)}var form=root$x(),node2=child(form);each(node2,17,()=>get$3(variables),variable=>variable.name,($$anchor2,variable)=>{{let $0=user_derived(()=>values[get$3(variable).name]??""),$1=user_derived(()=>suggestions[get$3(variable).name]??[]),$2=user_derived(()=>loadingSuggestions[get$3(variable).name]??!1),$3=user_derived(()=>get$3(activeAutocomplete)===
+get$3(variable).name),$4=user_derived(()=>get$3(activeAutocomplete)===get$3(variable).name?get$3(autocompleteIndex):0);InputWithSuggestions($$anchor2,{get name(){return get$3(variable).name},get value(){return get$3($0)},get suggestions(){return get$3($1)},get isLoadingSuggestions(){return get$3($2)},get isAutocompleteActive(){return get$3($3)},get autocompleteIndex(){return get$3($4)},onInput:value=>handleArgInput(get$3(variable).name,value),onKeydown:e=>handleArgKeydown(e,get$3(variable).name),
+onBlur:()=>handleArgBlur(get$3(variable).name),onFocus:()=>handleArgFocus(get$3(variable).name),onSelectSuggestion:value=>selectSuggestion(get$3(variable).name,value)})}});var node_1=sibling(node2,2);{var consequent=$$anchor2=>{var div=root_2$w(),p2=sibling(child(div),2),text2=child(p2,!0);reset(p2),reset(div),template_effect(()=>set_text(text2,get$3(expandedUri))),append($$anchor2,div)};if_block(node_1,$$render=>{get$3(isComplete)&&$$render(consequent)})}var div_1=sibling(node_1,2),node_2=child(
+div_1);Button(node_2,{type:"button",size:"sm",variant:"secondary",get onclick(){return $$props.onCancel},children:($$anchor2,$$slotProps)=>{next$1();var text_1=text$8("Cancel");append($$anchor2,text_1)},$$slots:{default:!0}});var node_3=sibling(node_2,2);{let $0=user_derived(()=>!get$3(isComplete));Button(node_3,{size:"sm",type:"submit",get disabled(){return get$3($0)},children:($$anchor2,$$slotProps)=>{next$1();var text_2=text$8("Read Resource");append($$anchor2,text_2)},$$slots:{default:!0}})}
+reset(div_1),reset(form),event("submit",form,handleSubmit),append($$anchor,form),pop()}var root_5$b=from_html("<!> <!>",1),root_2$v=from_html('<!> <div class="space-y-4 py-4"><!></div> <!>',1);function DialogMcpServerAddNew($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),newServerUrl=state$1(""),newServerHeaders=state$1(""),newServerUrlError=user_derived(()=>{if(!get$3(newServerUrl).trim())return"URL is required";try{return new URL(get$3(newServerUrl)),null}catch{return"In\
+valid URL format"}});function handleOpenChange(value){value||(set$1(newServerUrl,""),set$1(newServerHeaders,"")),open2(value),$$props.onOpenChange?.(value)}function saveNewServer(){if(get$3(newServerUrlError))return;const newServerId=uuid$1()??`${MCP_SERVER_ID_PREFIX}-${Date.now()}`;mcpStore.addServer({id:newServerId,enabled:!0,url:get$3(newServerUrl).trim(),headers:get$3(newServerHeaders).trim()||void 0}),conversationsStore.setMcpServerOverride(newServerId,!0),handleOpenChange(!1)}var fragment=comment$2(),
+node2=first_child(fragment);component(node2,()=>Root$2,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"sm:max-w-md",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$v(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{
+Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("Add New Server");append($$anchor9,text2)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),node_4=child(div);{let $0=user_derived(()=>get$3(newServerUrl)?get$3(newServerUrlError):
+null);McpServerForm(node_4,{get url(){return get$3(newServerUrl)},get headers(){return get$3(newServerHeaders)},onUrlChange:v=>set$1(newServerUrl,v,!0),onHeadersChange:v=>set$1(newServerHeaders,v,!0),get urlError(){return get$3($0)},id:"new-server"})}reset(div);var node_5=sibling(div,2);component(node_5,()=>Dialog_footer,($$anchor6,Dialog_Footer)=>{Dialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_5$b(),node_6=first_child(fragment_4);Button(node_6,{variant:"seconda\
+ry",size:"sm",onclick:()=>handleOpenChange(!1),children:($$anchor8,$$slotProps4)=>{next$1();var text_1=text$8("Cancel");append($$anchor8,text_1)},$$slots:{default:!0}});var node_7=sibling(node_6,2);{let $0=user_derived(()=>!!get$3(newServerUrlError));Button(node_7,{variant:"default",size:"sm",onclick:saveNewServer,get disabled(){return get$3($0)},"aria-label":"Save",children:($$anchor8,$$slotProps4)=>{next$1();var text_2=text$8("Add");append($$anchor8,text_2)},$$slots:{default:!0}})}append($$anchor7,
+fragment_4)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$h=from_html("<!> ",1),root_3$n=from_html("<!> <!>",1),root_8$e=from_html("<!> <!>",1),root_2$u=from_html("<!> <!> <!>",1);function DialogConfirmation($$anchor,$$props){push$1($$props,!0);let confirmText=prop($$props,"confirmText",3,"Confirm"),cancelText=prop($$props,"cancelText",3,"Cancel"),variant=prop($$props,
+"variant",3,"default");function handleKeydown(event2){event2.key===KeyboardKey.ENTER&&(event2.preventDefault(),$$props.onConfirm()),$$props.onKeydown?.(event2)}function handleOpenChange(newOpen){newOpen||$$props.onCancel()}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return $$props.open},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(
+fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{onkeydown:handleKeydown,children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$u(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$n(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{
+AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$h(),node_4=first_child(fragment_4);{var consequent=$$anchor10=>{const IconComponent=user_derived(()=>$$props.icon);var fragment_5=comment$2(),node_5=first_child(fragment_5);{let $0=user_derived(()=>variant()==="destructive"?"text-destructive":"");component(node_5,()=>get$3(IconComponent),($$anchor11,IconComponent_1)=>{IconComponent_1($$anchor11,{get class(){return`h-5 w-5 ${get$3(
+$0)??""}`}})})}append($$anchor10,fragment_5)};if_block(node_4,$$render=>{$$props.icon&&$$render(consequent)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${$$props.title??""}`)),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,
+$$props.description)),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_7=sibling(node_2,2);{var consequent_1=$$anchor6=>{var fragment_7=comment$2(),node_8=first_child(fragment_7);snippet(node_8,()=>$$props.children),append($$anchor6,fragment_7)};if_block(node_7,$$render=>{$$props.children&&$$render(consequent_1)})}var node_9=sibling(node_7,2);component(node_9,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer(
+$$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=root_8$e(),node_10=first_child(fragment_8);component(node_10,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{get onclick(){return $$props.onCancel},children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8();template_effect(()=>set_text(text_2,cancelText())),append($$anchor9,text_2)},$$slots:{default:!0}})});var node_11=sibling(node_10,2);{let $0=user_derived(()=>variant()==="destructive"?"b\
+g-destructive text-white hover:bg-destructive/80":"");component(node_11,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{get onclick(){return $$props.onConfirm},get class(){return get$3($0)},children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8();template_effect(()=>set_text(text_3,confirmText())),append($$anchor9,text_3)},$$slots:{default:!0}})})}append($$anchor7,fragment_8)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),
+append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$m=from_html("<!> <!>",1),root_6$d=from_html("<!> <!>",1),root_2$t=from_html('<!> <div class="space-y-4 pt-2 pb-6"><div class="space-y-2"><p class="text-sm font-medium text-muted-foreground">Current title:</p> <p class="rounded-md bg-muted/50 p-3 text-sm font-medium"> </p></div> <div class="space-y-2"><p class="text-sm font-medium text-muted-foreground">New title would be:</p> <p class="rounded-md bg\
+-muted/50 p-3 text-sm font-medium"> </p></div></div> <!>',1);function DialogConversationTitleUpdate($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,
+($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$t(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$m(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();
+var text2=text$8("Update Conversation Title?");append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(node_4,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Do you want to update the conversation title to match the first message content?");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(
+node_2,2),div_1=child(div),p2=sibling(child(div_1),2),text_2=child(p2,!0);reset(p2),reset(div_1);var div_2=sibling(div_1,2),p_1=sibling(child(div_2),2),text_3=child(p_1,!0);reset(p_1),reset(div_2),reset(div);var node_5=sibling(div,2);component(node_5,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_6$d(),node_6=first_child(fragment_4);Button(node_6,{variant:"outline",get onclick(){return $$props.onCancel},
+children:($$anchor8,$$slotProps4)=>{next$1();var text_4=text$8("Keep Current Title");append($$anchor8,text_4)},$$slots:{default:!0}});var node_7=sibling(node_6,2);Button(node_7,{get onclick(){return $$props.onConfirm},children:($$anchor8,$$slotProps4)=>{next$1();var text_5=text$8("Update Title");append($$anchor8,text_5)},$$slots:{default:!0}}),append($$anchor7,fragment_4)},$$slots:{default:!0}})}),template_effect(()=>{set_text(text_2,$$props.currentTitle),set_text(text_3,$$props.newTitle)}),append(
+$$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$g=from_html('<!> <span class="sr-only">Close preview</span>',1),root_3$l=from_html('<iframe sandbox="allow-scripts" class="code-preview-iframe"></iframe> <!>',1),root_2$s=from_html("<!> <!>",1);function DialogCodePreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),iframeRef=state$1(null);user_effect(()=>{get$3(iframeRef)&&(open2()?
+get$3(iframeRef).srcdoc=$$props.code:get$3(iframeRef).srcdoc="")});function handleOpenChange(nextOpen){open2(nextOpen),$$props.onOpenChange?.(nextOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Dialog,($$anchor2,DialogPrimitive_Root)=>{DialogPrimitive_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$2,($$anchor4,DialogPrimitive_Portal)=>{
+DialogPrimitive_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$s(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay$1,($$anchor6,DialogPrimitive_Overlay)=>{DialogPrimitive_Overlay($$anchor6,{class:"code-preview-overlay"})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content$1,($$anchor6,DialogPrimitive_Content)=>{DialogPrimitive_Content($$anchor6,{class:"code-preview-content",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$l(),
+iframe=first_child(fragment_3);bind_this(iframe,$$value=>set$1(iframeRef,$$value),()=>get$3(iframeRef));var node_4=sibling(iframe,2);component(node_4,()=>Dialog_close,($$anchor8,DialogPrimitive_Close)=>{DialogPrimitive_Close($$anchor8,{class:"code-preview-close absolute top-4 right-4 border-none bg-transparent text-white opacity-70 mix-blend-difference transition-opacity hover:opacity-100 focus-visible:ring-0 focus-visible:ring-offset-0 focus-visible:outline-none disabled:pointer-events-none [&_\
+svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-8","aria-label":"Close preview",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$g(),node_5=first_child(fragment_4);X(node_5,{}),next$1(2),append($$anchor9,fragment_4)},$$slots:{default:!0}})}),template_effect(()=>set_attribute(iframe,"title",`Preview ${$$props.language??""}`)),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},
+$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_3$k=from_html("<!> <!>",1),root_2$r=from_html("<!> <!>",1);function DialogChatAttachmentsPreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),uploadedFiles=prop($$props,"uploadedFiles",19,()=>[]),attachments=prop($$props,"attachments",19,()=>[]),previewFocusIndex=prop($$props,"previewFocusIndex",3,0);function handleClose(){open2(!1)}user_effect(()=>{if(!open2())return;function handleKeyDown(event2){const target2=event2.
+target;if(!(target2.tagName==="INPUT"||target2.tagName==="TEXTAREA"))switch(event2.key){case KeyboardKey.ARROW_LEFT:event2.preventDefault(),event2.stopPropagation(),document.dispatchEvent(new CustomEvent("chat-attachments-nav",{detail:-1}));break;case KeyboardKey.ARROW_RIGHT:event2.preventDefault(),event2.stopPropagation(),document.dispatchEvent(new CustomEvent("chat-attachments-nav",{detail:1}));break;case KeyboardKey.SPACE:event2.preventDefault(),event2.stopPropagation(),document.dispatchEvent(
+new CustomEvent("chat-attachments-nav",{detail:1}));break}}return document.addEventListener("keydown",handleKeyDown),()=>document.removeEventListener("keydown",handleKeyDown)});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Dialog,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$2,($$anchor4,Dialog_Portal)=>{
+Dialog_Portal($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$r(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_overlay,($$anchor6,DialogUI_Overlay)=>{DialogUI_Overlay($$anchor6,{class:"bg-black/85",style:"z-index: 1000"})});var node_3=sibling(node_2,2);component(node_3,()=>Dialog_content$1,($$anchor6,Dialog_Content)=>{Dialog_Content($$anchor6,{class:"fixed inset-0 z-[1000] flex flex-col bg-transparent outline-none",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$k(),
+node_4=first_child(fragment_3);component(node_4,()=>Dialog_close,($$anchor8,Dialog_Close)=>{Dialog_Close($$anchor8,{class:"absolute top-4 right-4 z-10 cursor-pointer text-white hover:text-gray-400",onclick:handleClose,"aria-label":"Close",children:($$anchor9,$$slotProps4)=>{X($$anchor9,{class:"size-4"})},$$slots:{default:!0}})});var node_5=sibling(node_4,2);ChatAttachmentsPreview(node_5,{get uploadedFiles(){return uploadedFiles()},get attachments(){return attachments()},get activeModelId(){return $$props.
+activeModelId},get previewFocusIndex(){return previewFocusIndex()},class:"min-h-0 flex-1"}),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$f=from_html("<!> ",1),root_3$j=from_html("<!> <!>",1),root_9$9=from_html('<p><span class="font-medium">Context size:</span> </p>'),root_8$d=from_html('<div class="mt-2 space-y-1 text-xs opacity-80"><p\
+><span class="font-medium">Prompt tokens:</span> </p> <!></div>'),root_2$q=from_html('<!> <div><p class="font-medium"> </p> <!></div> <!>',1);function DialogChatError($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const isTimeout=user_derived(()=>$$props.type===ErrorDialogType.TIMEOUT),title2=user_derived(()=>get$3(isTimeout)?"TCP Timeout":"Server Error"),description2=user_derived(()=>get$3(isTimeout)?"The request did not receive a response from the server before timing o\
+ut.":"The server responded with an error message. Review the details below."),iconClass=user_derived(()=>get$3(isTimeout)?"text-destructive":"text-amber-500"),badgeClass=user_derived(()=>get$3(isTimeout)?"border-destructive/40 bg-destructive/10 text-destructive":"border-amber-500/40 bg-amber-500/10 text-amber-600 dark:text-amber-400");function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{
+AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$q(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{
+var fragment_3=root_3$j(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$f(),node_4=first_child(fragment_4);{var consequent=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$3(iconClass)}`);Timer_off($$anchor10,{get class(){return get$3($0)}})}},alternate=$$anchor10=>{{let $0=user_derived(()=>`h-5 w-5 ${get$3(iconClass)}`);
+Triangle_alert($$anchor10,{get class(){return get$3($0)}})}};if_block(node_4,$$render=>{get$3(isTimeout)?$$render(consequent):$$render(alternate,-1)})}var text2=sibling(node_4);template_effect(()=>set_text(text2,` ${get$3(title2)??""}`)),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8();
+template_effect(()=>set_text(text_1,get$3(description2))),append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),p2=child(div),text_2=child(p2,!0);reset(p2);var node_6=sibling(p2,2);{var consequent_2=$$anchor6=>{var div_1=root_8$d(),p_1=child(div_1),text_3=sibling(child(p_1));reset(p_1);var node_7=sibling(p_1,2);{var consequent_1=$$anchor7=>{var p_2=root_9$9(),text_4=sibling(child(p_2));reset(p_2),template_effect($0=>set_text(
+text_4,` ${$0??""}`),[()=>$$props.contextInfo.n_ctx.toLocaleString()]),append($$anchor7,p_2)};if_block(node_7,$$render=>{$$props.contextInfo.n_ctx&&$$render(consequent_1)})}reset(div_1),template_effect($0=>set_text(text_3,` ${$0??""}`),[()=>$$props.contextInfo.n_prompt_tokens.toLocaleString()]),append($$anchor6,div_1)};if_block(node_6,$$render=>{$$props.contextInfo&&$$render(consequent_2)})}reset(div);var node_8=sibling(div,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{
+AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_8=comment$2(),node_9=first_child(fragment_8);component(node_9,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange(!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_5=text$8("Close");append($$anchor9,text_5)},$$slots:{default:!0}})}),append($$anchor7,fragment_8)},$$slots:{default:!0}})}),template_effect(()=>{set_class(div,1,`rounded-lg border px-4 \
+py-3 text-sm ${get$3(badgeClass)}`),set_text(text_2,$$props.message)}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$e=from_html("<!> Empty Files Detected",1),root_3$i=from_html("<!> <!>",1),root_6$c=from_html('<li class="font-mono text-sm"> </li>'),root_2$p=from_html('<!> <div class="space-y-3 text-sm"><div class="rounded-lg bg-muted p-3"><div class="mb-2 font-medium">Empty Files:</div> <u\
+l class="list-inside list-disc space-y-1 text-muted-foreground"></ul></div> <div><div class="mb-2 font-medium">What happened:</div> <ul class="list-inside list-disc space-y-1 text-muted-foreground"><li>Empty files cannot be processed or sent to the AI model</li> <li>These files have been automatically removed from your attachments</li> <li>You can try uploading files with content instead</li></ul></div></div> <!>',1);function DialogEmptyFileAlert($$anchor,$$props){push$1($$props,!0);let open2=prop(
+$$props,"open",15);function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{
+var fragment_2=root_2$p(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$i(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$e(),node_4=first_child(fragment_4);File_x(node_4,{class:"\
+h-5 w-5 text-destructive"}),next$1(),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("The following files are empty and have been removed from your attachments:");append($$anchor9,text2)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(
+node_2,2),div_1=child(div),ul=sibling(child(div_1),2);each(ul,20,()=>$$props.emptyFiles,fileName=>fileName,($$anchor6,fileName)=>{var li2=root_6$c(),text_1=child(li2,!0);reset(li2),template_effect(()=>set_text(text_1,fileName)),append($$anchor6,li2)}),reset(ul),reset(div_1),next$1(2),reset(div);var node_6=sibling(div,2);component(node_6,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_7=first_child(
+fragment_5);component(node_7,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange(!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8("Got it");append($$anchor9,text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$d=from_html("<!> <!\
+>",1),root_8$c=from_html('<div class="rounded-md bg-destructive/10 px-3 py-2"><p class="font-mono text-sm break-all text-destructive"> </p> <p class="mt-1 text-xs text-muted-foreground">File type not supported</p></div>'),root_7$b=from_html('<div class="space-y-2"><h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4> <div class="space-y-1"></div></div>'),root_10$5=from_html('<div class="rounded-md bg-destructive/10 px-3 py-2"><p class="font-mono text-sm break-all text-dest\
+ructive"> </p> <p class="mt-1 text-xs text-muted-foreground"> </p></div>'),root_9$8=from_html('<div class="space-y-2"><div class="space-y-1"></div></div>'),root_3$h=from_html('<!> <div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto"><!> <!></div> <div class="rounded-md bg-muted/50 p-3"><h4 class="mb-2 text-sm font-medium">This model supports:</h4> <p class="text-sm text-muted-foreground"> </p></div> <!>',1),root_2$o=from_html("<!> <!>",1);function DialogFileUploadError($$anchor,$$props){
+push$1($$props,!0);let open2=prop($$props,"open",15);function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(newOpen)}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal,($$anchor4,AlertDialog_Portal)=>{AlertDialog_Portal(
+$$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$o(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_overlay,($$anchor6,AlertDialog_Overlay)=>{AlertDialog_Overlay($$anchor6,{})});var node_3=sibling(node_2,2);component(node_3,()=>Alert_dialog_content,($$anchor6,AlertDialog_Content)=>{AlertDialog_Content($$anchor6,{class:"flex max-w-md flex-col",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$h(),node_4=first_child(fragment_3);component(node_4,()=>Alert_dialog_header,
+($$anchor8,AlertDialog_Header)=>{AlertDialog_Header($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$d(),node_5=first_child(fragment_4);component(node_5,()=>Alert_dialog_title,($$anchor10,AlertDialog_Title)=>{AlertDialog_Title($$anchor10,{children:($$anchor11,$$slotProps5)=>{next$1();var text2=text$8("File Upload Error");append($$anchor11,text2)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Alert_dialog_description,($$anchor10,AlertDialog_Description)=>{
+AlertDialog_Description($$anchor10,{class:"text-sm text-muted-foreground",children:($$anchor11,$$slotProps5)=>{next$1();var text_1=text$8("Some files cannot be uploaded with the current model.");append($$anchor11,text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var div=sibling(node_4,2),node_7=child(div);{var consequent=$$anchor8=>{var div_1=root_7$b(),div_2=sibling(child(div_1),2);each(div_2,21,()=>$$props.fileErrorData.generallyUnsupported,file=>file.name,
+($$anchor9,file)=>{var div_3=root_8$c(),p2=child(div_3),text_2=child(p2,!0);reset(p2),next$1(2),reset(div_3),template_effect(()=>set_text(text_2,get$3(file).name)),append($$anchor9,div_3)}),reset(div_2),reset(div_1),append($$anchor8,div_1)};if_block(node_7,$$render=>{$$props.fileErrorData.generallyUnsupported.length>0&&$$render(consequent)})}var node_8=sibling(node_7,2);{var consequent_1=$$anchor8=>{var div_4=root_9$8(),div_5=child(div_4);each(div_5,21,()=>$$props.fileErrorData.modalityUnsupported,
+file=>file.name,($$anchor9,file)=>{var div_6=root_10$5(),p_1=child(div_6),text_3=child(p_1,!0);reset(p_1);var p_2=sibling(p_1,2),text_4=child(p_2,!0);reset(p_2),reset(div_6),template_effect(()=>{set_text(text_3,get$3(file).name),set_text(text_4,$$props.fileErrorData.modalityReasons[get$3(file).name]||"Not supported by current model")}),append($$anchor9,div_6)}),reset(div_5),reset(div_4),append($$anchor8,div_4)};if_block(node_8,$$render=>{$$props.fileErrorData.modalityUnsupported.length>0&&$$render(
+consequent_1)})}reset(div);var div_7=sibling(div,2),p_3=sibling(child(div_7),2),text_5=child(p_3,!0);reset(p_3),reset(div_7);var node_9=sibling(div_7,2);component(node_9,()=>Alert_dialog_footer,($$anchor8,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor8,{children:($$anchor9,$$slotProps4)=>{var fragment_5=comment$2(),node_10=first_child(fragment_5);component(node_10,()=>Alert_dialog_action,($$anchor10,AlertDialog_Action)=>{AlertDialog_Action($$anchor10,{onclick:()=>handleOpenChange(!1),children:($$anchor11,$$slotProps5)=>{
+next$1();var text_6=text$8("Got it");append($$anchor11,text_6)},$$slots:{default:!0}})}),append($$anchor9,fragment_5)},$$slots:{default:!0}})}),template_effect($0=>set_text(text_5,$0),[()=>$$props.fileErrorData.supportedTypes.join(", ")]),append($$anchor7,fragment_3)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_4$c=from_html("<!> Model Not Available",1),root_3$g=from_html(
+"<!> <!>",1),root_7$a=from_html('<button type="button" class="group flex w-full items-center justify-between gap-2 rounded-sm px-3 py-2 text-left text-sm transition-colors hover:bg-accent hover:text-accent-foreground"><span class="min-w-0 truncate font-mono text-xs"> </span> <!></button>'),root_6$b=from_html('<div class="text-sm"><p class="mb-2 font-medium text-muted-foreground">Select an available model:</p> <div class="max-h-48 space-y-1 overflow-y-auto rounded-md border p-1"></div></div>'),root_2$n=from_html(
+'<!> <div class="space-y-3"><div class="rounded-lg border border-amber-500/40 bg-amber-500/10 px-4 py-3 text-sm"><p class="font-medium text-amber-600 dark:text-amber-400">Requested: <code class="rounded bg-amber-500/20 px-1.5 py-0.5"> </code></p></div> <!></div> <!>',1);function DialogModelNotAvailable($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),availableModels=prop($$props,"availableModels",19,()=>[]);function handleOpenChange(newOpen){open2(newOpen),$$props.onOpenChange?.(
+newOpen)}function handleSelectModel(model){const url2=new URL(page$1.url);url2.searchParams.set("model",model),handleOpenChange(!1),goto(url2.toString())}var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{
+AlertDialog_Content($$anchor4,{class:"max-w-lg",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$n(),node_2=first_child(fragment_2);component(node_2,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$g(),node_3=first_child(fragment_3);component(node_3,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{
+var fragment_4=root_4$c(),node_4=first_child(fragment_4);Triangle_alert(node_4,{class:"h-5 w-5 text-amber-500"}),next$1(),append($$anchor9,fragment_4)},$$slots:{default:!0}})});var node_5=sibling(node_3,2);component(node_5,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8("The requested model could not be found. Select an available model to continue.");append($$anchor9,text2)},$$slots:{
+default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),p2=child(div_1),code2=sibling(child(p2)),text_1=child(code2,!0);reset(code2),reset(p2),reset(div_1);var node_6=sibling(div_1,2);{var consequent=$$anchor6=>{var div_2=root_6$b(),div_3=sibling(child(div_2),2);each(div_3,20,availableModels,model=>model,($$anchor7,model)=>{var button=root_7$a(),span=child(button),text_2=child(span,!0);reset(span);var node_7=sibling(span,2);Arrow_right(node_7,
+{class:"h-4 w-4 shrink-0 text-muted-foreground opacity-0 transition-opacity group-hover:opacity-100"}),reset(button),template_effect(()=>set_text(text_2,model)),delegated("click",button,()=>handleSelectModel(model)),append($$anchor7,button)}),reset(div_3),reset(div_2),append($$anchor6,div_2)};if_block(node_6,$$render=>{availableModels().length>0&&$$render(consequent)})}reset(div);var node_8=sibling(div,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer(
+$$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_9=first_child(fragment_5);component(node_9,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:()=>handleOpenChange(!1),children:($$anchor9,$$slotProps4)=>{next$1();var text_3=text$8("Cancel");append($$anchor9,text_3)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),template_effect(()=>set_text(text_1,$$props.modelName)),append($$anchor5,fragment_2)},
+$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}delegate(["click"]);var root_4$b=from_html("<!> <!>",1),root_3$f=from_html("<!> <!>",1),root_2$m=from_html("<!> <!>",1);function DialogConversationSelection($$anchor,$$props){push$1($$props,!0);let messageCountMap=prop($$props,"messageCountMap",19,()=>new Map),open2=prop($$props,"open",15,!1),conversationSelectionRef=state$1(void 0),previousOpen=state$1(!1);user_effect(()=>{open2()&&!get$3(
+previousOpen)&&get$3(conversationSelectionRef)?get$3(conversationSelectionRef).reset():!open2()&&get$3(previousOpen)&&$$props.onCancel(),set$1(previousOpen,open2(),!0)});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$2,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Portal$1,($$anchor4,Dialog_Portal)=>{
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+e-header",class:$0,...restProps}),[()=>cn$1("[&_tr]:border-b",$$props.class)]);var node2=child(thead2);snippet(node2,()=>$$props.children??noop$3),reset(thead2),bind_this(thead2,$$value=>ref2($$value),()=>ref2()),append($$anchor,thead2),pop()}var root$r=from_html("<tr><!></tr>");function Table_row($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var tr2=root$r();attribute_effect(tr2,
+$0=>({"data-slot":"table-row",class:$0,...restProps}),[()=>cn$1("border-b transition-colors data-[state=selected]:bg-muted hover:[&,&>svelte-css-wrapper]:[&>th,td]:bg-muted/50",$$props.class)]);var node2=child(tr2);snippet(node2,()=>$$props.children??noop$3),reset(tr2),bind_this(tr2,$$value=>ref2($$value),()=>ref2()),append($$anchor,tr2),pop()}var root_3$e=from_html("<!> <!>",1),root_6$a=from_html('<div class="flex items-center justify-center py-8"><div class="text-sm text-muted-foreground">Load\
+ing model information...</div></div>'),root_13$3=from_html('<div class="inline-flex items-center gap-2"><span class="resizable-text-container min-w-0 flex-1 truncate"> </span> <!></div>'),root_11$4=from_html("<!> <!>",1),root_17$2=from_html('<span class="resizable-text-container min-w-0 flex-1 truncate"> </span> <!>',1),root_15$4=from_html("<!> <!>",1),root_19$4=from_html("<!> <!>",1),root_23$1=from_html("<!> <!>",1),root_27$1=from_html("<!> <!>",1),root_31=from_html("<!> <!>",1),root_35=from_html(
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+"<!> <!>",1),root_64=from_html('<div class="flex items-center justify-center py-8"><div class="text-sm text-muted-foreground">No model information available</div></div>'),root_2$l=from_html(`<style>@container (max-width: 56rem) {
+				.resizable-text-container {
+					max-width: calc(100vw - var(--threshold));
+				}
+			}</style> <!> <div class="space-y-6 py-4"><!></div>`,1);function DialogModelInformation($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15),modelId=prop($$props,"modelId",3,null),isRouter=user_derived(()=>serverStore.isRouterMode),routerModelProps=state$1(null),isLoadingRouterProps=state$1(!1),serverProps2=user_derived(()=>get$3(isRouter)&&modelId()?get$3(routerModelProps):serverStore.props),modelName=user_derived(()=>get$3(isRouter)&&modelId()?modelId():modelsStore.singleModelName),
+models=user_derived(modelOptions),isLoadingModels=user_derived(modelsLoading),firstModel=user_derived(()=>get$3(isRouter)&&modelId()?get$3(models).find(m=>m.model===modelId())??null:get$3(models)[0]??null),modalities=user_derived(()=>get$3(firstModel)?.id?modelsStore.getModelModalitiesArray(get$3(firstModel).id):[]);user_effect(()=>{open2()&&get$3(models).length===0&&modelsStore.fetch()}),user_effect(()=>{open2()&&get$3(isRouter)&&modelId()&&(set$1(isLoadingRouterProps,!0),modelsStore.fetchModelProps(
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+var div=sibling(node_2,2),node_5=child(div);{var consequent=$$anchor6=>{var div_1=root_6$a();append($$anchor6,div_1)},consequent_11=$$anchor6=>{const modelMeta=user_derived(()=>get$3(firstModel).meta);var fragment_4=comment$2(),node_6=first_child(fragment_4);{var consequent_10=$$anchor7=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);component(node_7,()=>Table,($$anchor8,Table_Root)=>{Table_Root($$anchor8,{children:($$anchor9,$$slotProps3)=>{var fragment_6=root_9$7(),node_8=first_child(
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+$$slots:{default:!0}})}),append($$anchor12,fragment_15)};if_block(node_18,$$render=>{get$3(serverProps2)?.default_generation_settings?.n_ctx?$$render(consequent_1):$$render(alternate,-1)})}var node_25=sibling(node_18,2);{var consequent_2=$$anchor12=>{var fragment_17=comment$2(),node_26=first_child(fragment_17);component(node_26,()=>Table_row,($$anchor13,Table_Row_4)=>{Table_Row_4($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_18=root_27$1(),node_27=first_child(fragment_18);component(
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+$$anchor12,{children:($$anchor13,$$slotProps5)=>{var fragment_35=root_50(),node_50=first_child(fragment_35);component(node_50,()=>Table_cell,($$anchor14,Table_Cell_18)=>{Table_Cell_18($$anchor14,{class:"align-middle font-medium",children:($$anchor15,$$slotProps6)=>{next$1();var text_22=text$8("Parallel Slots");append($$anchor15,text_22)},$$slots:{default:!0}})});var node_51=sibling(node_50,2);component(node_51,()=>Table_cell,($$anchor14,Table_Cell_19)=>{Table_Cell_19($$anchor14,{children:($$anchor15,$$slotProps6)=>{
+next$1();var text_23=text$8();template_effect(()=>set_text(text_23,get$3(serverProps2).total_slots)),append($$anchor15,text_23)},$$slots:{default:!0}})}),append($$anchor13,fragment_35)},$$slots:{default:!0}})});var node_52=sibling(node_49,2);{var consequent_8=$$anchor12=>{var fragment_37=comment$2(),node_53=first_child(fragment_37);component(node_53,()=>Table_row,($$anchor13,Table_Row_11)=>{Table_Row_11($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_38=root_54(),node_54=first_child(
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+($$anchor14,Table_Cell_22)=>{Table_Cell_22($$anchor14,{class:"align-middle font-medium",children:($$anchor15,$$slotProps6)=>{next$1();var text_25=text$8("Build Info");append($$anchor15,text_25)},$$slots:{default:!0}})});var node_59=sibling(node_58,2);component(node_59,()=>Table_cell,($$anchor14,Table_Cell_23)=>{Table_Cell_23($$anchor14,{class:"align-middle font-mono text-xs",children:($$anchor15,$$slotProps6)=>{next$1();var text_26=text$8();template_effect(()=>set_text(text_26,get$3(serverProps2).
+build_info)),append($$anchor15,text_26)},$$slots:{default:!0}})}),append($$anchor13,fragment_39)},$$slots:{default:!0}})});var node_60=sibling(node_57,2);{var consequent_9=$$anchor12=>{var fragment_41=comment$2(),node_61=first_child(fragment_41);component(node_61,()=>Table_row,($$anchor13,Table_Row_13)=>{Table_Row_13($$anchor13,{children:($$anchor14,$$slotProps5)=>{var fragment_42=root_61(),node_62=first_child(fragment_42);component(node_62,()=>Table_cell,($$anchor15,Table_Cell_24)=>{Table_Cell_24(
+$$anchor15,{class:"align-middle font-medium",children:($$anchor16,$$slotProps6)=>{next$1();var text_27=text$8("Chat Template");append($$anchor16,text_27)},$$slots:{default:!0}})});var node_63=sibling(node_62,2);component(node_63,()=>Table_cell,($$anchor15,Table_Cell_25)=>{Table_Cell_25($$anchor15,{class:"py-10",children:($$anchor16,$$slotProps6)=>{var div_4=root_63(),pre=child(div_4),text_28=child(pre,!0);reset(pre),reset(div_4),template_effect(()=>set_text(text_28,get$3(serverProps2).chat_template)),
+append($$anchor16,div_4)},$$slots:{default:!0}})}),append($$anchor14,fragment_42)},$$slots:{default:!0}})}),append($$anchor12,fragment_41)};if_block(node_60,$$render=>{get$3(serverProps2).chat_template&&$$render(consequent_9)})}append($$anchor11,fragment_9)},$$slots:{default:!0}})}),append($$anchor9,fragment_6)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)};if_block(node_6,$$render=>{get$3(serverProps2)&&$$render(consequent_10)})}append($$anchor6,fragment_4)},consequent_12=$$anchor6=>{var div_5=root_64();
+append($$anchor6,div_5)};if_block(node_5,$$render=>{get$3(isLoadingModels)||get$3(isLoadingRouterProps)?$$render(consequent):get$3(firstModel)?$$render(consequent_11,1):get$3(isLoadingModels)||$$render(consequent_12,2)})}reset(div),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_5$a=from_html('<span class="text-sm font-normal text-muted-foreground"> </span>'),root_4$a=from_html("<!> <span>MCP R\
+esources</span> <!>",1),root_3$d=from_html("<!> <!>",1),root_8$b=from_html('<p class="mb-4 text-xs text-muted-foreground"> </p>'),root_9$6=from_html('<div class="flex flex-1 items-center justify-center"><!></div>'),root_10$4=from_html('<div class="flex flex-1 flex-col items-center justify-center gap-2 text-red-500"><span class="text-sm"> </span> <!></div>'),root_7$9=from_html('<div class="flex h-full flex-col"><div class="mb-3 flex items-center gap-2"><!> <span class="text-sm font-medium"> </spa\
+n></div> <!> <div class="mb-4 rounded-md border border-border/50 bg-muted/30 px-3 py-2"><p class="font-mono text-xs break-all text-muted-foreground"> </p></div> <!></div>'),root_15$3=from_html('<div class="flex flex-col gap-10"></div>'),root_18$2=from_html('<div class="flex h-full items-center justify-center text-sm text-muted-foreground">Select a resource to preview</div>'),root_22=from_html("<!> Attach Resource",1),root_26=from_html("<!> ",1),root_19$3=from_html("<!> <!>",1),root_2$k=from_html(
+'<!> <div class="flex h-[500px] min-w-0"><div class="w-72 shrink-0 overflow-y-auto border-r border-border/30 p-4"><!></div> <div class="min-w-0 flex-1 overflow-auto p-4"><!></div></div> <!>',1);function DialogMcpResourcesBrowser($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15,!1),selectedResources=new SvelteSet,lastSelectedUri=state$1(null),isAttaching=state$1(!1),selectedTemplate=state$1(null),templatePreviewUri=state$1(null),templatePreviewContent=state$1(null),templatePreviewLoading=state$1(
+!1),templatePreviewError=state$1(null);const totalCount=user_derived(mcpTotalResourceCount);user_effect(()=>{open2()&&(loadResources(),$$props.preSelectedUri&&(selectedResources.clear(),selectedResources.add($$props.preSelectedUri),set$1(lastSelectedUri,$$props.preSelectedUri,!0)))});async function loadResources(){const perChatOverrides=conversationsStore.getAllMcpServerOverrides();await mcpStore.ensureInitialized(perChatOverrides)&&await mcpStore.fetchAllResources()}function handleOpenChange(newOpen){
+open2(newOpen),$$props.onOpenChange?.(newOpen),newOpen||(selectedResources.clear(),set$1(lastSelectedUri,null),clearTemplateState())}function clearTemplateState(){set$1(selectedTemplate,null),set$1(templatePreviewUri,null),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!1),set$1(templatePreviewError,null)}function handleTemplateSelect(template){if(selectedResources.clear(),set$1(lastSelectedUri,null),get$3(selectedTemplate)?.uriTemplate===template.uriTemplate&&get$3(selectedTemplate)?.
+serverName===template.serverName){clearTemplateState();return}set$1(selectedTemplate,template,!0),set$1(templatePreviewUri,null),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!1),set$1(templatePreviewError,null)}async function handleTemplateResolve(uri2,serverName){set$1(templatePreviewUri,uri2,!0),set$1(templatePreviewContent,null),set$1(templatePreviewLoading,!0),set$1(templatePreviewError,null);try{const content2=await mcpStore.readResourceByUri(serverName,uri2);content2?set$1(
+templatePreviewContent,content2,!0):set$1(templatePreviewError,"Failed to read resource")}catch(error2){set$1(templatePreviewError,error2 instanceof Error?error2.message:"Unknown error",!0)}finally{set$1(templatePreviewLoading,!1)}}function handleTemplateCancelForm(){clearTemplateState()}async function handleAttachTemplateResource(){if(!(!get$3(templatePreviewUri)||!get$3(selectedTemplate)||!get$3(templatePreviewContent))){set$1(isAttaching,!0);try{const knownResource=mcpResourceStore.findResourceByUri(
+get$3(templatePreviewUri));if(knownResource)mcpResourceStore.isAttached(knownResource.uri)||await mcpStore.attachResource(knownResource.uri),toast.success(`Resource attached: ${knownResource.title||knownResource.name}`);else{if(mcpResourceStore.isAttached(get$3(templatePreviewUri))){toast.info("Resource already attached"),handleOpenChange(!1);return}const resourceInfo={uri:get$3(templatePreviewUri),name:get$3(templatePreviewUri).split("/").pop()||get$3(templatePreviewUri),serverName:get$3(selectedTemplate).
+serverName},attachment=mcpResourceStore.addAttachment(resourceInfo);mcpResourceStore.updateAttachmentContent(attachment.id,get$3(templatePreviewContent)),toast.success(`Resource attached: ${resourceInfo.name}`)}handleOpenChange(!1)}catch(error2){console.error("Failed to attach template resource:",error2)}finally{set$1(isAttaching,!1)}}}function handleResourceSelect(resource,shiftKey=!1){if(clearTemplateState(),shiftKey&&get$3(lastSelectedUri)){const allResources=getAllResourcesFlatInTreeOrder(),
+lastIndex=allResources.findIndex(r2=>r2.uri===get$3(lastSelectedUri)),currentIndex=allResources.findIndex(r2=>r2.uri===resource.uri);if(lastIndex!==-1&&currentIndex!==-1){const start2=Math.min(lastIndex,currentIndex),end=Math.max(lastIndex,currentIndex);for(let i=start2;i<=end;i++)selectedResources.add(allResources[i].uri)}}else selectedResources.clear(),selectedResources.add(resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function handleResourceToggle(resource,checked){clearTemplateState(),
+checked?selectedResources.add(resource.uri):selectedResources.delete(resource.uri),set$1(lastSelectedUri,resource.uri,!0)}function getAllResourcesFlatInTreeOrder(){const allResources=[],resourcesMap=mcpResources();for(const[serverName,serverRes]of resourcesMap.entries())for(const resource of serverRes.resources)allResources.push({...resource,serverName});return allResources.sort((a,b)=>{const aName=getResourceDisplayName(a),bName=getResourceDisplayName(b);return aName.localeCompare(bName)})}async function handleAttach(){
+if(selectedResources.size!==0){set$1(isAttaching,!0);try{const resourcesToAttach=getAllResourcesFlatInTreeOrder().filter(r2=>selectedResources.has(r2.uri));for(const resource of resourcesToAttach)await mcpStore.attachResource(resource.uri),$$props.onAttach?.(resource);const count=resourcesToAttach.length;toast.success(count===1?`Resource attached: ${resourcesToAttach[0].name}`:`${count} resources attached`),handleOpenChange(!1)}catch(error2){console.error("Failed to attach resources:",error2)}finally{
+set$1(isAttaching,!1)}}}const selectedTemplateUri=user_derived(()=>get$3(selectedTemplate)?.uriTemplate??null),hasTemplateResult=user_derived(()=>!!get$3(selectedTemplate)&&!!get$3(templatePreviewContent)&&!!get$3(templatePreviewUri));var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Root$2,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get open(){return open2()},onOpenChange:handleOpenChange,children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(
+fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"max-h-[80vh] !max-w-4xl overflow-hidden p-0",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$k(),node_2=first_child(fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{class:"border-b border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$d(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,
+($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"flex items-center gap-2",children:($$anchor9,$$slotProps4)=>{var fragment_4=root_4$a(),node_4=first_child(fragment_4);Folder_open(node_4,{class:"h-5 w-5"});var node_5=sibling(node_4,4);{var consequent=$$anchor10=>{var span=root_5$a(),text2=child(span);reset(span),template_effect(()=>set_text(text2,`(${get$3(totalCount)??""})`)),append($$anchor10,span)};if_block(node_5,$$render=>{get$3(totalCount)>0&&$$render(consequent)})}append($$anchor9,
+fragment_4)},$$slots:{default:!0}})});var node_6=sibling(node_3,2);component(node_6,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Browse and attach resources from connected MCP servers to your chat context.");append($$anchor9,text_1)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div=sibling(node_2,2),div_1=child(div),node_7=child(div_1);McpResourcesBrowser(
+node_7,{onSelect:handleResourceSelect,onToggle:handleResourceToggle,onTemplateSelect:handleTemplateSelect,get selectedUris(){return selectedResources},get selectedTemplateUri(){return get$3(selectedTemplateUri)},get expandToUri(){return $$props.preSelectedUri}}),reset(div_1);var div_2=sibling(div_1,2),node_8=child(div_2);{var consequent_4=$$anchor6=>{var div_3=root_7$9(),div_4=child(div_3),node_9=child(div_4);Braces(node_9,{class:"h-4 w-4 text-muted-foreground"});var span_1=sibling(node_9,2),text_2=child(
+span_1,!0);reset(span_1),reset(div_4);var node_10=sibling(div_4,2);{var consequent_1=$$anchor7=>{var p2=root_8$b(),text_3=child(p2,!0);reset(p2),template_effect(()=>set_text(text_3,get$3(selectedTemplate).description)),append($$anchor7,p2)};if_block(node_10,$$render=>{get$3(selectedTemplate).description&&$$render(consequent_1)})}var div_5=sibling(node_10,2),p_1=child(div_5),text_4=child(p_1,!0);reset(p_1),reset(div_5);var node_11=sibling(div_5,2);{var consequent_2=$$anchor7=>{var div_6=root_9$6(),
+node_12=child(div_6);Loader_circle(node_12,{class:"h-6 w-6 animate-spin text-muted-foreground"}),reset(div_6),append($$anchor7,div_6)},consequent_3=$$anchor7=>{var div_7=root_10$4(),span_2=child(div_7),text_5=child(span_2,!0);reset(span_2);var node_13=sibling(span_2,2);Button(node_13,{size:"sm",variant:"outline",onclick:()=>{set$1(templatePreviewError,null)},children:($$anchor8,$$slotProps3)=>{next$1();var text_6=text$8("Try again");append($$anchor8,text_6)},$$slots:{default:!0}}),reset(div_7),template_effect(
+()=>set_text(text_5,get$3(templatePreviewError))),append($$anchor7,div_7)},alternate=$$anchor7=>{McpResourceTemplateForm($$anchor7,{get template(){return get$3(selectedTemplate)},onResolve:handleTemplateResolve,onCancel:handleTemplateCancelForm})};if_block(node_11,$$render=>{get$3(templatePreviewLoading)?$$render(consequent_2):get$3(templatePreviewError)?$$render(consequent_3,1):$$render(alternate,-1)})}reset(div_3),template_effect(()=>{set_text(text_2,get$3(selectedTemplate).title||get$3(selectedTemplate).
+name),set_text(text_4,get$3(selectedTemplate).uriTemplate)}),append($$anchor6,div_3)},consequent_5=$$anchor6=>{{let $0=user_derived(()=>({uri:get$3(templatePreviewUri)??"",name:get$3(templatePreviewUri)?.split("/").pop()||(get$3(templatePreviewUri)??""),serverName:get$3(selectedTemplate)?.serverName||""}));McpResourcePreview($$anchor6,{get resource(){return get$3($0)},get preloadedContent(){return get$3(templatePreviewContent)}})}},consequent_6=$$anchor6=>{const allResources=user_derived(getAllResourcesFlatInTreeOrder),
+selectedResource=user_derived(()=>get$3(allResources).find(r2=>selectedResources.has(r2.uri)));{let $0=user_derived(()=>get$3(selectedResource)??null);McpResourcePreview($$anchor6,{get resource(){return get$3($0)}})}},consequent_8=$$anchor6=>{var div_8=root_15$3();each(div_8,21,getAllResourcesFlatInTreeOrder,resource=>resource.uri,($$anchor7,resource)=>{var fragment_8=comment$2(),node_14=first_child(fragment_8);{var consequent_7=$$anchor8=>{McpResourcePreview($$anchor8,{get resource(){return get$3(
+resource)}})},d2=user_derived(()=>selectedResources.has(get$3(resource).uri));if_block(node_14,$$render=>{get$3(d2)&&$$render(consequent_7)})}append($$anchor7,fragment_8)}),reset(div_8),append($$anchor6,div_8)},alternate_1=$$anchor6=>{var div_9=root_18$2();append($$anchor6,div_9)};if_block(node_8,$$render=>{get$3(selectedTemplate)&&!get$3(templatePreviewContent)?$$render(consequent_4):get$3(hasTemplateResult)?$$render(consequent_5,1):selectedResources.size===1?$$render(consequent_6,2):selectedResources.
+size>1?$$render(consequent_8,3):$$render(alternate_1,-1)})}reset(div_2),reset(div);var node_15=sibling(div,2);component(node_15,()=>Dialog_footer,($$anchor6,Dialog_Footer)=>{Dialog_Footer($$anchor6,{class:"border-t border-border/30 px-6 py-4",children:($$anchor7,$$slotProps3)=>{var fragment_10=root_19$3(),node_16=first_child(fragment_10);Button(node_16,{variant:"outline",onclick:()=>handleOpenChange(!1),children:($$anchor8,$$slotProps4)=>{next$1();var text_7=text$8("Cancel");append($$anchor8,text_7)},
+$$slots:{default:!0}});var node_17=sibling(node_16,2);{var consequent_10=$$anchor8=>{Button($$anchor8,{onclick:handleAttachTemplateResource,get disabled(){return get$3(isAttaching)},children:($$anchor9,$$slotProps4)=>{var fragment_12=root_22(),node_18=first_child(fragment_12);{var consequent_9=$$anchor10=>{Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_2=$$anchor10=>{Plus($$anchor10,{class:"mr-2 h-4 w-4"})};if_block(node_18,$$render=>{get$3(isAttaching)?$$render(consequent_9):
+$$render(alternate_2,-1)})}next$1(),append($$anchor9,fragment_12)},$$slots:{default:!0}})},alternate_4=$$anchor8=>{{let $0=user_derived(()=>selectedResources.size===0||get$3(isAttaching));Button($$anchor8,{onclick:handleAttach,get disabled(){return get$3($0)},children:($$anchor9,$$slotProps4)=>{var fragment_16=root_26(),node_19=first_child(fragment_16);{var consequent_11=$$anchor10=>{Loader_circle($$anchor10,{class:"mr-2 h-4 w-4 animate-spin"})},alternate_3=$$anchor10=>{Plus($$anchor10,{class:"m\
+r-2 h-4 w-4"})};if_block(node_19,$$render=>{get$3(isAttaching)?$$render(consequent_11):$$render(alternate_3,-1)})}var text_8=sibling(node_19);template_effect(()=>set_text(text_8,` Attach ${selectedResources.size>0?`(${selectedResources.size})`:"Resource"}`)),append($$anchor9,fragment_16)},$$slots:{default:!0}})}};if_block(node_17,$$render=>{get$3(hasTemplateResult)?$$render(consequent_10):$$render(alternate_4,-1)})}append($$anchor7,fragment_10)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},
+$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_7$8=from_html('<img alt="" class="h-3 w-3 shrink-0 rounded-sm"/>'),root_6$9=from_html('<span class="flex items-center gap-1 text-xs text-muted-foreground">· <!> </span>'),root_8$a=from_html('<span class="rounded bg-muted px-1.5 py-0.5 text-xs"> </span>'),root_5$9=from_html('<div class="flex items-center gap-2"><span class="text-xs text-muted-foreground"> </span> <!> <!></div>'),
+root_3$c=from_html("<!> <!>",1),root_10$3=from_html('<div class="flex items-center justify-center"><img class="max-h-[70vh] max-w-full rounded object-contain"/></div>'),root_12$3=from_html('<pre class="max-h-[70vh] overflow-auto rounded-md border bg-muted/30 p-4 font-mono text-sm break-words whitespace-pre-wrap"> </pre>'),root_13$2=from_html('<div class="py-8 text-center text-sm text-muted-foreground">No content available</div>'),root_2$j=from_html('<!> <div class="flex items-center justify-end \
+gap-1"><!> <!></div> <div class="overflow-auto"><!></div>',1);function DialogMcpResourcePreview($$anchor,$$props){push$1($$props,!0);let open2=prop($$props,"open",15);const serverName=user_derived(()=>mcpStore.getServerDisplayName($$props.extra.serverName)),favicon=user_derived(()=>mcpStore.getServerFavicon($$props.extra.serverName));function getLanguage(){if($$props.extra.mimeType?.includes(MimeTypeIncludes.JSON))return MimeTypeIncludes.JSON;if($$props.extra.mimeType?.includes(MimeTypeIncludes.
+JAVASCRIPT))return MimeTypeIncludes.JAVASCRIPT;if($$props.extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT))return MimeTypeIncludes.TYPESCRIPT;const name=$$props.extra.name||$$props.extra.uri||"";return getLanguageFromFilename(name)||"plaintext"}function handleDownload(){$$props.extra.content&&downloadResourceContent($$props.extra.content,$$props.extra.mimeType||MimeTypeText.PLAIN,$$props.extra.name||DEFAULT_RESOURCE_FILENAME)}var fragment=comment$2(),node2=first_child(fragment);component(node2,
+()=>Root$2,($$anchor2,Dialog_Root)=>{Dialog_Root($$anchor2,{get onOpenChange(){return $$props.onOpenChange},get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Dialog_content,($$anchor4,Dialog_Content)=>{Dialog_Content($$anchor4,{class:"grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl",children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$j(),node_2=first_child(
+fragment_2);component(node_2,()=>Dialog_header,($$anchor6,Dialog_Header)=>{Dialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_3=root_3$c(),node_3=first_child(fragment_3);component(node_3,()=>Dialog_title,($$anchor8,Dialog_Title)=>{Dialog_Title($$anchor8,{class:"pr-8",children:($$anchor9,$$slotProps4)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.extra.name)),append($$anchor9,text2)},$$slots:{default:!0}})});var node_4=sibling(node_3,2);component(
+node_4,()=>Dialog_description,($$anchor8,Dialog_Description)=>{Dialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{var div=root_5$9(),span=child(div),text_1=child(span,!0);reset(span);var node_5=sibling(span,2);{var consequent_1=$$anchor10=>{var span_1=root_6$9(),node_6=sibling(child(span_1));{var consequent=$$anchor11=>{var img=root_7$8();template_effect(()=>set_attribute(img,"src",get$3(favicon))),event("error",img,e=>{e.currentTarget.style.display="none"}),replay_events(img),append(
+$$anchor11,img)};if_block(node_6,$$render=>{get$3(favicon)&&$$render(consequent)})}var text_2=sibling(node_6);reset(span_1),template_effect(()=>set_text(text_2,` ${get$3(serverName)??""}`)),append($$anchor10,span_1)};if_block(node_5,$$render=>{get$3(serverName)&&$$render(consequent_1)})}var node_7=sibling(node_5,2);{var consequent_2=$$anchor10=>{var span_2=root_8$a(),text_3=child(span_2,!0);reset(span_2),template_effect(()=>set_text(text_3,$$props.extra.mimeType)),append($$anchor10,span_2)};if_block(
+node_7,$$render=>{$$props.extra.mimeType&&$$render(consequent_2)})}reset(div),template_effect(()=>set_text(text_1,$$props.extra.uri)),append($$anchor9,div)},$$slots:{default:!0}})}),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var div_1=sibling(node_2,2),node_8=child(div_1);{let $0=user_derived(()=>!!$$props.extra.content);ActionIconCopyToClipboard(node_8,{get text(){return $$props.extra.content},get canCopy(){return get$3($0)},ariaLabel:"Copy content"})}var node_9=sibling(node_8,2);{let $0=user_derived(
+()=>!$$props.extra.content);Button(node_9,{variant:"ghost",size:"sm",class:"h-7 w-7 p-0",onclick:handleDownload,get disabled(){return get$3($0)},title:"Download content",children:($$anchor6,$$slotProps3)=>{Download($$anchor6,{class:"h-3.5 w-3.5"})},$$slots:{default:!0}})}reset(div_1);var div_2=sibling(div_1,2),node_10=child(div_2);{var consequent_3=$$anchor6=>{var div_3=root_10$3(),img_1=child(div_3);reset(div_3),template_effect($0=>{set_attribute(img_1,"src",$0),set_attribute(img_1,"alt",$$props.
+extra.name)},[()=>$$props.extra.content.startsWith("data:")?$$props.extra.content:`data:${$$props.extra.mimeType||"image/png"};base64,${$$props.extra.content}`]),append($$anchor6,div_3)},d2=user_derived(()=>isImageResource($$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content),consequent_4=$$anchor6=>{{let $0=user_derived(getLanguage);SyntaxHighlightedCode($$anchor6,{get code(){return $$props.extra.content},get language(){return get$3($0)},maxHeight:"70vh"})}},d_12=user_derived(()=>isCodeResource(
+$$props.extra.mimeType,$$props.extra.uri)&&$$props.extra.content),consequent_5=$$anchor6=>{var pre=root_12$3(),text_4=child(pre,!0);reset(pre),template_effect(()=>set_text(text_4,$$props.extra.content)),append($$anchor6,pre)},alternate=$$anchor6=>{var div_4=root_13$2();append($$anchor6,div_4)};if_block(node_10,$$render=>{get$3(d2)?$$render(consequent_3):get$3(d_12)?$$render(consequent_4,1):$$props.extra.content?$$render(consequent_5,2):$$render(alternate,-1)})}reset(div_2),append($$anchor5,fragment_2)},
+$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$e=from_html("<!> Reset to default",1),root_5$8=from_html("<!> <!>",1),root_8$9=from_html("<!> <!>",1),root_4$9=from_html("<!> <!>",1),root$q=from_html('<div class="sticky bottom-0 mx-auto mt-4 flex w-full justify-between p-6"><div class="flex gap-2"><!></div> <!></div> <!>',1);function SettingsChatFooter($$anchor,$$props){push$1($$props,!0);let showResetDialog=state$1(!1);function handleResetClick(){
+set$1(showResetDialog,!0)}function handleConfirmReset(){settingsStore.forceSyncWithServerDefaults(),$$props.onReset?.(),set$1(showResetDialog,!1)}function handleSave(){$$props.onSave?.()}var fragment=root$q(),div=first_child(fragment),div_1=child(div),node2=child(div_1);Button(node2,{variant:"outline",onclick:handleResetClick,children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$e(),node_1=first_child(fragment_1);Rotate_ccw(node_1,{class:"h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{
+default:!0}}),reset(div_1);var node_2=sibling(div_1,2);Button(node_2,{onclick:handleSave,children:($$anchor2,$$slotProps)=>{next$1();var text2=text$8("Save settings");append($$anchor2,text2)},$$slots:{default:!0}}),reset(div);var node_3=sibling(div,2);component(node_3,()=>Root$1,($$anchor2,AlertDialog_Root)=>{AlertDialog_Root($$anchor2,{get open(){return get$3(showResetDialog)},set open($$value){set$1(showResetDialog,$$value,!0)},children:($$anchor3,$$slotProps)=>{var fragment_2=comment$2(),node_4=first_child(
+fragment_2);component(node_4,()=>Alert_dialog_content,($$anchor4,AlertDialog_Content)=>{AlertDialog_Content($$anchor4,{children:($$anchor5,$$slotProps2)=>{var fragment_3=root_4$9(),node_5=first_child(fragment_3);component(node_5,()=>Alert_dialog_header,($$anchor6,AlertDialog_Header)=>{AlertDialog_Header($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_4=root_5$8(),node_6=first_child(fragment_4);component(node_6,()=>Alert_dialog_title,($$anchor8,AlertDialog_Title)=>{AlertDialog_Title($$anchor8,
+{children:($$anchor9,$$slotProps4)=>{next$1();var text_1=text$8("Reset Settings to Default");append($$anchor9,text_1)},$$slots:{default:!0}})});var node_7=sibling(node_6,2);component(node_7,()=>Alert_dialog_description,($$anchor8,AlertDialog_Description)=>{AlertDialog_Description($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();var text_2=text$8(`Are you sure you want to reset all settings to their default values? This will reset all
+				parameters to the values provided by the server's /props endpoint and remove all your custom
+				configurations.`);append($$anchor9,text_2)},$$slots:{default:!0}})}),append($$anchor7,fragment_4)},$$slots:{default:!0}})});var node_8=sibling(node_5,2);component(node_8,()=>Alert_dialog_footer,($$anchor6,AlertDialog_Footer)=>{AlertDialog_Footer($$anchor6,{children:($$anchor7,$$slotProps3)=>{var fragment_5=root_8$9(),node_9=first_child(fragment_5);component(node_9,()=>Alert_dialog_cancel,($$anchor8,AlertDialog_Cancel)=>{AlertDialog_Cancel($$anchor8,{children:($$anchor9,$$slotProps4)=>{next$1();
+var text_3=text$8("Cancel");append($$anchor9,text_3)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Alert_dialog_action,($$anchor8,AlertDialog_Action)=>{AlertDialog_Action($$anchor8,{onclick:handleConfirmReset,children:($$anchor9,$$slotProps4)=>{next$1();var text_4=text$8("Reset to Default");append($$anchor9,text_4)},$$slots:{default:!0}})}),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),append($$anchor5,fragment_3)},$$slots:{default:!0}})}),append($$anchor3,
+fragment_2)},$$slots:{default:!0}})}),append($$anchor,fragment),pop()}var root_1$d=from_html('<span class="absolute right-2 flex size-3.5 items-center justify-center"><!></span> <!>',1);function Select_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","value","label","children"]);var fragment=comment$2(),node2=first_child(fragment);{const children=($$anchor2,$$arg0)=>{let selected=()=>$$arg0?.().
+selected,highlighted=()=>$$arg0?.().highlighted;var fragment_1=root_1$d(),span=first_child(fragment_1),node_1=child(span);{var consequent=$$anchor3=>{Check($$anchor3,{class:"size-4"})};if_block(node_1,$$render=>{selected()&&$$render(consequent)})}reset(span);var node_2=sibling(span,2);{var consequent_1=$$anchor3=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);snippet(node_3,()=>$$props.children,()=>({selected:selected(),highlighted:highlighted()})),append($$anchor3,fragment_3)},alternate=$$anchor3=>{
+var text2=text$8();template_effect(()=>set_text(text2,$$props.label||$$props.value)),append($$anchor3,text2)};if_block(node_2,$$render=>{$$props.children?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)};let $0=user_derived(()=>cn$1("relative flex w-full cursor-default items-center gap-2 rounded-sm py-1.5 pr-8 pl-2 text-sm outline-hidden select-none data-[disabled]:pointer-events-none data-[disabled]:opacity-50 data-[highlighted]:bg-accent data-[highlighted]:text-acce\
+nt-foreground [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground *:[span]:last:flex *:[span]:last:items-center *:[span]:last:gap-2",$$props.class));component(node2,()=>Select_item$1,($$anchor2,SelectPrimitive_Item)=>{SelectPrimitive_Item($$anchor2,spread_props({get value(){return $$props.value},"data-slot":"select-item",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},
+children,$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_up_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_up_button$1,($$anchor2,SelectPrimitive_ScrollUpButton)=>{SelectPrimitive_ScrollUpButton(
+$$anchor2,spread_props({"data-slot":"select-scroll-up-button",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_up($$anchor3,{class:"size-4"})},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}function Select_scroll_down_button($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class"]);var fragment=comment$2(),
+node2=first_child(fragment);{let $0=user_derived(()=>cn$1("flex cursor-default items-center justify-center py-1",$$props.class));component(node2,()=>Select_scroll_down_button$1,($$anchor2,SelectPrimitive_ScrollDownButton)=>{SelectPrimitive_ScrollDownButton($$anchor2,spread_props({"data-slot":"select-scroll-down-button",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor3,$$slotProps)=>{Chevron_down($$anchor3,{class:"size-4"})},
+$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}var root_2$i=from_html("<!> <!> <!>",1);function Select_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),sideOffset=prop($$props,"sideOffset",3,4),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","sideOffset","portalProps","children"]),cleanupInternalListeners;onMount$1(()=>{const listenerOptions={passive:!1},blockOutsideWheel=event2=>{if(!ref2())return;const target2=event2.target;
+(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())},blockOutsideTouchMove=event2=>{if(!ref2())return;const target2=event2.target;(!target2||!ref2().contains(target2))&&(event2.preventDefault(),event2.stopPropagation())};return document.addEventListener("wheel",blockOutsideWheel,listenerOptions),document.addEventListener("touchmove",blockOutsideTouchMove,listenerOptions),()=>{document.removeEventListener("wheel",blockOutsideWheel,listenerOptions),document.removeEventListener(
+"touchmove",blockOutsideTouchMove,listenerOptions)}}),user_effect(()=>{const element2=ref2();if(cleanupInternalListeners?.(),!element2)return;const stopWheelPropagation=event2=>{event2.stopPropagation()},stopTouchPropagation=event2=>{event2.stopPropagation()};element2.addEventListener("wheel",stopWheelPropagation),element2.addEventListener("touchmove",stopTouchPropagation),cleanupInternalListeners=()=>{element2.removeEventListener("wheel",stopWheelPropagation),element2.removeEventListener("touch\
+move",stopTouchPropagation)}}),onDestroy(()=>{cleanupInternalListeners?.()});var fragment=comment$2(),node2=first_child(fragment);component(node2,()=>Portal$2,($$anchor2,SelectPrimitive_Portal)=>{SelectPrimitive_Portal($$anchor2,spread_props(()=>$$props.portalProps,{children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);{let $0=user_derived(()=>cn$1("relative z-[var(--layer-popover,1000000)] max-h-(--bits-select-content-available-height) min-w-[8rem] origin-\
+(--bits-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border bg-popover text-popover-foreground shadow-md data-[side=bottom]:translate-y-1 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:-translate-x-1 data-[side=left]:slide-in-from-right-2 data-[side=right]:translate-x-1 data-[side=right]:slide-in-from-left-2 data-[side=top]:-translate-y-1 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=clo\
+sed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95",$$props.class));component(node_1,()=>Select_content$1,($$anchor4,SelectPrimitive_Content)=>{SelectPrimitive_Content($$anchor4,spread_props({get sideOffset(){return sideOffset()},"data-slot":"select-content",get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2($$value)},children:($$anchor5,$$slotProps2)=>{var fragment_2=root_2$i(),
+node_2=first_child(fragment_2);Select_scroll_up_button(node_2,{});var node_3=sibling(node_2,2);{let $02=user_derived(()=>cn$1("h-(--bits-select-anchor-height) w-full min-w-(--bits-select-anchor-width) scroll-my-1 p-1"));component(node_3,()=>Select_viewport,($$anchor6,SelectPrimitive_Viewport)=>{SelectPrimitive_Viewport($$anchor6,{get class(){return get$3($02)},children:($$anchor7,$$slotProps3)=>{var fragment_3=comment$2(),node_4=first_child(fragment_3);snippet(node_4,()=>$$props.children??noop$3),
+append($$anchor7,fragment_3)},$$slots:{default:!0}})})}var node_5=sibling(node_3,2);Select_scroll_down_button(node_5,{}),append($$anchor5,fragment_2)},$$slots:{default:!0}}))})}append($$anchor3,fragment_1)},$$slots:{default:!0}}))}),append($$anchor,fragment),pop()}var root_1$c=from_html("<!> <!>",1);function Select_trigger($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),size2=prop($$props,"size",3,"default"),variant=prop($$props,"variant",3,"default"),restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class","children","size","variant"]);const baseClasses=user_derived(()=>variant()==="plain"?"group inline-flex w-full items-center justify-end gap-2 whitespace-nowrap px-0 py-0 text-sm font-medium text-muted-foreground transition-colors focus-visible:outline-none focus-visible:ring-0 focus-visible:ring-offset-0 disabled:cursor-not-allowed disabled:opacity-50 data-[placeholder]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 [&_svg]\
+:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-3 [&_svg:not([class*='text-'])]:text-muted-foreground":"flex w-fit items-center justify-between gap-2 rounded-md border border-input bg-transparent px-3 py-2 text-sm whitespace-nowrap shadow-xs transition-[color,box-shadow] outline-none select-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-de\
+structive/20 data-[placeholder]:text-muted-foreground data-[size=default]:h-9 data-[size=sm]:h-8 *:data-[slot=select-value]:line-clamp-1 *:data-[slot=select-value]:flex *:data-[slot=select-value]:items-center *:data-[slot=select-value]:gap-2 dark:bg-input/30 dark:hover:bg-input/50 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 [&_svg:not([class*='text-'])]:text-muted-foreground"),chevronClasses=user_derived(()=>variant()===
+"plain"?"size-3 opacity-60 transition-transform group-data-[state=open]:-rotate-180":"size-4 opacity-50");var fragment=comment$2(),node2=first_child(fragment);{let $0=user_derived(()=>cn$1(get$3(baseClasses),$$props.class));component(node2,()=>Select_trigger$1,($$anchor2,SelectPrimitive_Trigger)=>{SelectPrimitive_Trigger($$anchor2,spread_props({"data-slot":"select-trigger",get"data-size"(){return size2()},get class(){return get$3($0)}},()=>restProps,{get ref(){return ref2()},set ref($$value){ref2(
+$$value)},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1$c(),node_1=first_child(fragment_1);snippet(node_1,()=>$$props.children??noop$3);var node_2=sibling(node_1,2);Chevron_down(node_2,{get class(){return get$3(chevronClasses)}}),append($$anchor3,fragment_1)},$$slots:{default:!0}}))})}append($$anchor,fragment),pop()}const Root=Select;var root$p=from_html("<textarea></textarea>");function Textarea($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),value=prop($$props,
+"value",15),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","value","class"]);var textarea=root$p();remove_textarea_child(textarea),attribute_effect(textarea,$0=>({"data-slot":"textarea",class:$0,...restProps}),[()=>cn$1("flex field-sizing-content min-h-16 w-full rounded-md border border-input bg-transparent px-3 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-[3px] focus-visibl\
+e:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 md:text-sm dark:bg-input/30 dark:aria-invalid:ring-destructive/40",$$props.class)]),bind_this(textarea,$$value=>ref2($$value),()=>ref2()),bind_value(textarea,value),append($$anchor,textarea),pop()}var root_1$b=from_html("<!> Custom",1);function SettingsChatParameterSourceIndicator($$anchor,$$props){let className=prop($$props,"class",3,"");Badge($$anchor,{variant:"second\
+ary",get class(){return`h-5 bg-orange-100 px-1.5 py-0.5 text-xs text-orange-800 dark:bg-orange-900 dark:text-orange-200 ${className()??""}`},children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$b(),node2=first_child(fragment_1);Wrench(node2,{class:"mr-1 h-3 w-3"}),next$1(),append($$anchor2,fragment_1)},$$slots:{default:!0}})}var root_3$b=from_html(" <!>",1),root_6$8=from_html('<button type="button" class="absolute top-1/2 right-2 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-cent\
+er rounded transition-colors hover:bg-muted" aria-label="Reset to default" title="Reset to default"><!></button>'),root_7$7=from_html('<p class="mt-1 text-xs text-muted-foreground"></p>'),root_2$h=from_html('<div class="flex items-center gap-2"><!> <!></div> <div class="relative w-full"><!> <!></div> <!>',1),root_9$5=from_html(" <!>",1),root_11$3=from_html('<p class="mt-1 text-xs text-muted-foreground"> </p>'),root_12$2=from_html('<div class="mt-3 flex items-center gap-2"><!> <!></div>'),root_8$8=from_html(
+"<!> <!> <!> <!>",1),root_15$2=from_html(" <!>",1),root_19$2=from_html('<div class="flex items-center gap-2"><!> </div>'),root_21$1=from_html('<button type="button" class="absolute top-1/2 right-8 inline-flex h-5 w-5 -translate-y-1/2 items-center justify-center rounded transition-colors hover:bg-muted" aria-label="Reset to default" title="Reset to default"><!></button>'),root_25$1=from_html('<div class="flex items-center gap-2"><!> </div>'),root_18$1=from_html('<div class="relative w-full md:w-a\
+uto"><!> <!></div> <!>',1),root_27=from_html('<p class="mt-1 text-xs text-muted-foreground"> </p>'),root_14$1=from_html('<div class="flex items-center gap-2"><!> <!></div> <!> <!>',1),root_30=from_html('<p class="text-xs text-muted-foreground"> </p>'),root_28=from_html('<div class="flex items-start space-x-3"><!> <div class="space-y-1"><label class="flex cursor-pointer items-center gap-1.5 pt-1 pb-0.5 text-sm leading-none font-medium"> <!></label> <!></div></div>'),root_1$a=from_html('<div class\
+="space-y-2"><!></div>');function SettingsChatFields($$anchor,$$props){push$1($$props,!0);let sp=user_derived(()=>{if(serverStore.isRouterMode){const m=selectedModelName();if(m)return modelsStore.getModelProps(m)?.default_generation_settings?.params??{}}return serverStore.defaultParams??{}});var fragment=comment$2(),node2=first_child(fragment);each(node2,17,()=>$$props.fields,field=>field.key,($$anchor2,field)=>{var div=root_1$a(),node_1=child(div);{var consequent_4=$$anchor3=>{const currentValue=user_derived(
+()=>String($$props.localConfig[get$3(field).key]??"")),serverDefault=user_derived(()=>get$3(sp)[get$3(field).key]),isCustomRealTime=user_derived(()=>(()=>{if(get$3(serverDefault)==null||get$3(currentValue)==="")return!1;const numericInput=parseFloat(get$3(currentValue)),normalizedInput=isNaN(numericInput)?get$3(currentValue):Math.round(numericInput*1e6)/1e6,normalizedDefault=typeof get$3(serverDefault)=="number"?Math.round(get$3(serverDefault)*1e6)/1e6:get$3(serverDefault);return normalizedInput!==
+normalizedDefault})());var fragment_1=root_2$h(),div_1=first_child(fragment_1),node_2=child(div_1);Label(node_2,{get for(){return get$3(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_2=root_3$b(),text2=first_child(fragment_2),node_3=sibling(text2);{var consequent=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_3,$$render=>{get$3(field).isExperimental&&$$render(consequent)})}
+template_effect(()=>set_text(text2,`${get$3(field).label??""} `)),append($$anchor4,fragment_2)},$$slots:{default:!0}});var node_4=sibling(node_2,2);{var consequent_1=$$anchor4=>{SettingsChatParameterSourceIndicator($$anchor4,{})};if_block(node_4,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_1)})}reset(div_1);var div_2=sibling(div_1,2),node_5=child(div_2);{let $0=user_derived(()=>get$3(sp)[get$3(field).key]!=null?`Default: ${normalizeFloatingPoint(get$3(sp)[get$3(field).key])}`:""),$1=user_derived(
+()=>get$3(isCustomRealTime)?"pr-8":"");Input(node_5,{get id(){return get$3(field).key},get value(){return get$3(currentValue)},oninput:e=>{$$props.onConfigChange(get$3(field).key,e.currentTarget.value)},get placeholder(){return get$3($0)},get class(){return`w-full ${get$3($1)??""}`}})}var node_6=sibling(node_5,2);{var consequent_2=$$anchor4=>{var button=root_6$8(),node_7=child(button);Rotate_ccw(node_7,{class:"h-3 w-3"}),reset(button),delegated("click",button,()=>{settingsStore.resetParameterToServerDefault(
+get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}),append($$anchor4,button)};if_block(node_6,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_2)})}reset(div_2);var node_8=sibling(div_2,2);{var consequent_3=$$anchor4=>{var p_1=root_7$7();html$6(p_1,()=>get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key],!0),reset(p_1),append($$anchor4,p_1)};if_block(node_8,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_3)})}append($$anchor3,fragment_1)},
+consequent_8=$$anchor3=>{var fragment_5=root_8$8(),node_9=first_child(fragment_5);Label(node_9,{get for(){return get$3(field).key},class:"block flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_6=root_9$5(),text_1=first_child(fragment_6),node_10=sibling(text_1);{var consequent_5=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_10,$$render=>{get$3(field).isExperimental&&$$render(consequent_5)})}template_effect(
+()=>set_text(text_1,`${get$3(field).label??""} `)),append($$anchor4,fragment_6)},$$slots:{default:!0}});var node_11=sibling(node_9,2);{let $0=user_derived(()=>String($$props.localConfig[get$3(field).key]??""));Textarea(node_11,{get id(){return get$3(field).key},get value(){return get$3($0)},onchange:e=>$$props.onConfigChange(get$3(field).key,e.currentTarget.value),placeholder:"",class:"min-h-[10rem] w-full md:max-w-3xl"})}var node_12=sibling(node_11,2);{var consequent_6=$$anchor4=>{var p_2=root_11$3(),
+text_2=child(p_2,!0);reset(p_2),template_effect(()=>set_text(text_2,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_2)};if_block(node_12,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_6)})}var node_13=sibling(node_12,2);{var consequent_7=$$anchor4=>{var div_3=root_12$2(),node_14=child(div_3);{let $0=user_derived(()=>!!($$props.localConfig.showSystemMessage??!0));Checkbox(node_14,{id:"showSystemMessage",get checked(){return get$3(
+$0)},onCheckedChange:checked=>$$props.onConfigChange("showSystemMessage",!!checked)})}var node_15=sibling(node_14,2);Label(node_15,{for:"showSystemMessage",class:"cursor-pointer text-sm font-normal",children:($$anchor5,$$slotProps)=>{next$1();var text_3=text$8("Show system message in conversations");append($$anchor5,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor4,div_3)};if_block(node_13,$$render=>{get$3(field).key===SETTINGS_KEYS.SYSTEM_MESSAGE&&$$render(consequent_7)})}append($$anchor3,
+fragment_5)},consequent_16=$$anchor3=>{const selectedOption=user_derived(()=>get$3(field).options?.find(opt=>opt.value===$$props.localConfig[get$3(field).key])),currentValue=user_derived(()=>$$props.localConfig[get$3(field).key]),serverDefault=user_derived(()=>get$3(sp)[get$3(field).key]),isCustomRealTime=user_derived(()=>get$3(serverDefault)==null||get$3(currentValue)===""||get$3(currentValue)===void 0?!1:get$3(currentValue)!==get$3(serverDefault));var fragment_8=root_14$1(),div_4=first_child(fragment_8),
+node_16=child(div_4);Label(node_16,{get for(){return get$3(field).key},class:"flex items-center gap-1.5 text-sm font-medium",children:($$anchor4,$$slotProps)=>{next$1();var fragment_9=root_15$2(),text_4=first_child(fragment_9),node_17=sibling(text_4);{var consequent_9=$$anchor5=>{Flask_conical($$anchor5,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_17,$$render=>{get$3(field).isExperimental&&$$render(consequent_9)})}template_effect(()=>set_text(text_4,`${get$3(field).label??""} `)),
+append($$anchor4,fragment_9)},$$slots:{default:!0}});var node_18=sibling(node_16,2);{var consequent_10=$$anchor4=>{SettingsChatParameterSourceIndicator($$anchor4,{})};if_block(node_18,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_10)})}reset(div_4);var node_19=sibling(div_4,2);component(node_19,()=>Root,($$anchor4,Select_Root)=>{Select_Root($$anchor4,{type:"single",get value(){return get$3(currentValue)},onValueChange:value=>{get$3(field).key===SETTINGS_KEYS.THEME&&value&&$$props.onThemeChange?
+$$props.onThemeChange(value):$$props.onConfigChange(get$3(field).key,value)},children:($$anchor5,$$slotProps)=>{var fragment_12=root_18$1(),div_5=first_child(fragment_12),node_20=child(div_5);component(node_20,()=>Select_trigger,($$anchor6,Select_Trigger)=>{Select_Trigger($$anchor6,{class:"w-full",children:($$anchor7,$$slotProps2)=>{var div_6=root_19$2(),node_21=child(div_6);{var consequent_11=$$anchor8=>{const IconComponent=user_derived(()=>get$3(selectedOption).icon);var fragment_13=comment$2(),
+node_22=first_child(fragment_13);component(node_22,()=>get$3(IconComponent),($$anchor9,IconComponent_1)=>{IconComponent_1($$anchor9,{class:"h-4 w-4"})}),append($$anchor8,fragment_13)};if_block(node_21,$$render=>{get$3(selectedOption)?.icon&&$$render(consequent_11)})}var text_5=sibling(node_21);reset(div_6),template_effect($0=>set_text(text_5,` ${$0??""}`),[()=>get$3(selectedOption)?.label||`Select ${get$3(field).label.toLowerCase()}`]),append($$anchor7,div_6)},$$slots:{default:!0}})});var node_23=sibling(
+node_20,2);{var consequent_12=$$anchor6=>{var button_1=root_21$1(),node_24=child(button_1);Rotate_ccw(node_24,{class:"h-3 w-3"}),reset(button_1),delegated("click",button_1,()=>{settingsStore.resetParameterToServerDefault(get$3(field).key),$$props.onConfigChange(get$3(field).key,"")}),append($$anchor6,button_1)};if_block(node_23,$$render=>{get$3(isCustomRealTime)&&$$render(consequent_12)})}reset(div_5);var node_25=sibling(div_5,2);component(node_25,()=>Select_content,($$anchor6,Select_Content)=>{
+Select_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var fragment_14=comment$2(),node_26=first_child(fragment_14);{var consequent_14=$$anchor8=>{var fragment_15=comment$2(),node_27=first_child(fragment_15);each(node_27,17,()=>get$3(field).options,option2=>option2.value,($$anchor9,option2)=>{var fragment_16=comment$2(),node_28=first_child(fragment_16);component(node_28,()=>Select_item,($$anchor10,Select_Item)=>{Select_Item($$anchor10,{get value(){return get$3(option2).value},get label(){
+return get$3(option2).label},children:($$anchor11,$$slotProps3)=>{var div_7=root_25$1(),node_29=child(div_7);{var consequent_13=$$anchor12=>{const IconComponent=user_derived(()=>get$3(option2).icon);var fragment_17=comment$2(),node_30=first_child(fragment_17);component(node_30,()=>get$3(IconComponent),($$anchor13,IconComponent_2)=>{IconComponent_2($$anchor13,{class:"h-4 w-4"})}),append($$anchor12,fragment_17)};if_block(node_29,$$render=>{get$3(option2).icon&&$$render(consequent_13)})}var text_6=sibling(
+node_29);reset(div_7),template_effect(()=>set_text(text_6,` ${get$3(option2).label??""}`)),append($$anchor11,div_7)},$$slots:{default:!0}})}),append($$anchor9,fragment_16)}),append($$anchor8,fragment_15)};if_block(node_26,$$render=>{get$3(field).options&&$$render(consequent_14)})}append($$anchor7,fragment_14)},$$slots:{default:!0}})}),append($$anchor5,fragment_12)},$$slots:{default:!0}})});var node_31=sibling(node_19,2);{var consequent_15=$$anchor4=>{var p_3=root_27(),text_7=child(p_3,!0);reset(
+p_3),template_effect(()=>set_text(text_7,get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_3)};if_block(node_31,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_15)})}append($$anchor3,fragment_8)},consequent_19=$$anchor3=>{var div_8=root_28(),node_32=child(div_8);{let $0=user_derived(()=>!!$$props.localConfig[get$3(field).key]);Checkbox(node_32,{get id(){return get$3(field).key},get checked(){return get$3($0)},onCheckedChange:checked=>$$props.
+onConfigChange(get$3(field).key,checked),class:"mt-1"})}var div_9=sibling(node_32,2),label=child(div_9),text_8=child(label),node_33=sibling(text_8);{var consequent_17=$$anchor4=>{Flask_conical($$anchor4,{class:"h-3.5 w-3.5 text-muted-foreground"})};if_block(node_33,$$render=>{get$3(field).isExperimental&&$$render(consequent_17)})}reset(label);var node_34=sibling(label,2);{var consequent_18=$$anchor4=>{var p_4=root_30(),text_9=child(p_4,!0);reset(p_4),template_effect(()=>set_text(text_9,get$3(field).
+help||SETTING_CONFIG_INFO[get$3(field).key])),append($$anchor4,p_4)};if_block(node_34,$$render=>{(get$3(field).help||SETTING_CONFIG_INFO[get$3(field).key])&&$$render(consequent_18)})}reset(div_9),reset(div_8),template_effect(()=>{set_attribute(label,"for",get$3(field).key),set_text(text_8,`${get$3(field).label??""} `)}),append($$anchor3,div_8)};if_block(node_1,$$render=>{get$3(field).type===SettingsFieldType.INPUT?$$render(consequent_4):get$3(field).type===SettingsFieldType.TEXTAREA?$$render(consequent_8,
+1):get$3(field).type===SettingsFieldType.SELECT?$$render(consequent_16,2):get$3(field).type===SettingsFieldType.CHECKBOX&&$$render(consequent_19,3)})}reset(div),append($$anchor2,div)}),append($$anchor,fragment),pop()}delegate(["click"]);var root_1$9=from_html('<div class="py-8 text-center text-sm text-muted-foreground">No tools available</div>'),root_5$7=from_html('<!> <span class="inline-flex min-w-0 items-center gap-1.5 font-medium"><!></span> <span class="ml-auto shrink-0 text-xs text-muted-f\
+oreground"> </span>',1),root_9$4=from_html('<div class="flex items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50"><!> <div class="flex w-16 shrink-0 justify-center"><!></div> <div class="flex w-20 shrink-0 justify-center"><!></div></div>'),root_8$7=from_html('<div class="ml-4 border-l border-border/50 pl-2"><div class="flex items-center gap-2 px-2 py-1 text-xs text-muted-foreground"><span class="min-w-0 flex-1">Tool</span> <span class="w-16 shrink-0 text-center">Enabled</span> <span\
+ class="w-20 shrink-0 text-center">Always allow</span></div> <!></div>'),root_4$8=from_html("<!> <!>",1),root_2$g=from_html('<div class="space-y-2"></div>');function SettingsChatToolsTab($$anchor,$$props){push$1($$props,!0);let expandedGroups=new SvelteSet,groups=user_derived(()=>toolsStore.toolGroups);function toggleExpanded(label){expandedGroups.has(label)?expandedGroups.delete(label):expandedGroups.add(label)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$9();
+append($$anchor2,div)},alternate_1=$$anchor2=>{var div_1=root_2$g();each(div_1,21,()=>get$3(groups),group=>group.label,($$anchor3,group)=>{const isExpanded=user_derived(()=>expandedGroups.has(get$3(group).label));var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,()=>Collapsible,($$anchor4,Collapsible_Root)=>{Collapsible_Root($$anchor4,{get open(){return get$3(isExpanded)},onOpenChange:()=>toggleExpanded(get$3(group).label),children:($$anchor5,$$slotProps)=>{var fragment_2=root_4$8(),
+node_2=first_child(fragment_2);component(node_2,()=>Collapsible_trigger,($$anchor6,Collapsible_Trigger)=>{Collapsible_Trigger($$anchor6,{class:"flex w-full items-center gap-2 rounded-lg px-3 py-2 text-sm hover:bg-muted/50",children:($$anchor7,$$slotProps2)=>{const faviconUrl=user_derived(()=>get$3(group).serverId?mcpStore.getServerFavicon(get$3(group).serverId):null);var fragment_3=root_5$7(),node_3=first_child(fragment_3);{var consequent_1=$$anchor8=>{Chevron_down($$anchor8,{class:"h-3.5 w-3.5 \
+shrink-0"})},alternate=$$anchor8=>{Chevron_right($$anchor8,{class:"h-3.5 w-3.5 shrink-0"})};if_block(node_3,$$render=>{get$3(isExpanded)?$$render(consequent_1):$$render(alternate,-1)})}var span=sibling(node_3,2),node_4=child(span);McpServerIdentity(node_4,{iconClass:"h-4 w-4",iconRounded:"rounded-sm",showVersion:!1,get displayName(){return get$3(group).label},get faviconUrl(){return get$3(faviconUrl)}}),reset(span);var span_1=sibling(span,2),text2=child(span_1);reset(span_1),template_effect(()=>set_text(
+text2,`${get$3(group).tools.length??""} tool${get$3(group).tools.length!==1?"s":""}`)),append($$anchor7,fragment_3)},$$slots:{default:!0}})});var node_5=sibling(node_2,2);component(node_5,()=>Collapsible_content,($$anchor6,Collapsible_Content)=>{Collapsible_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{var div_2=root_8$7(),node_6=sibling(child(div_2),2);each(node_6,17,()=>get$3(group).tools,tool=>tool.function.name,($$anchor8,tool)=>{const toolName=user_derived(()=>get$3(tool).function.
+name),isEnabled=user_derived(()=>toolsStore.isToolEnabled(get$3(toolName))),permissionKey=user_derived(()=>toolsStore.getPermissionKey(get$3(toolName))),isAlwaysAllowed=user_derived(()=>get$3(permissionKey)?permissionsStore.hasTool(get$3(permissionKey)):!1);var div_3=root_9$4(),node_7=child(div_3);TruncatedText(node_7,{get text(){return get$3(toolName)},class:"flex-1",showTooltip:!0});var div_4=sibling(node_7,2),node_8=child(div_4);Checkbox(node_8,{get checked(){return get$3(isEnabled)},onCheckedChange:()=>toolsStore.
+toggleTool(get$3(toolName)),class:"h-4 w-4"}),reset(div_4);var div_5=sibling(div_4,2),node_9=child(div_5);Checkbox(node_9,{get checked(){return get$3(isAlwaysAllowed)},onCheckedChange:()=>{get$3(isAlwaysAllowed)?permissionsStore.revokeTool(get$3(permissionKey)):permissionsStore.allowTool(get$3(permissionKey))},class:"h-4 w-4"}),reset(div_5),reset(div_3),append($$anchor8,div_3)}),reset(div_2),append($$anchor7,div_2)},$$slots:{default:!0}})}),append($$anchor5,fragment_2)},$$slots:{default:!0}})}),
+append($$anchor3,fragment_1)}),reset(div_1),append($$anchor2,div_1)};if_block(node2,$$render=>{get$3(groups).length===0?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}const summaryList=($$anchor,show=noop$3,verb=noop$3,items2=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);{var consequent_1=$$anchor2=>{var div=root_2$f(),h5=child(div),text_1=child(h5);reset(h5);var ul=sibling(h5,2),node_1=child(ul);each(node_1,17,()=>items2().slice(0,10),conv=>conv.
+id,($$anchor3,conv)=>{var li2=root_3$a(),text_2=child(li2);reset(li2),template_effect(()=>set_text(text_2,`• ${(get$3(conv).name||"Untitled conversation")??""}`)),append($$anchor3,li2)});var node_2=sibling(node_1,2);{var consequent=$$anchor3=>{var li_1=root_4$7(),text_3=child(li_1);reset(li_1),template_effect(()=>set_text(text_3,`... and ${items2().length-10} more`)),append($$anchor3,li_1)};if_block(node_2,$$render=>{items2().length>10&&$$render(consequent)})}reset(ul),reset(div),template_effect(
+()=>set_text(text_1,`${verb()??""}
+				${items2().length??""} conversation${items2().length===1?"":"s"}`)),append($$anchor2,div)};if_block(node2,$$render=>{show()&&items2().length>0&&$$render(consequent_1)})}append($$anchor,fragment)},section=($$anchor,title2=noop$3,description2=noop$3,IconComponent=noop$3,buttonText=noop$3,onclick=noop$3,opts=noop$3)=>{const buttonClass=user_derived(()=>opts()?.buttonClass??"justify-start justify-self-start md:w-auto"),buttonVariant=user_derived(()=>opts()?.buttonVariant??"outline");var div_1=root_5$6(),
+h4=child(div_1),text_4=child(h4,!0);reset(h4);var p2=sibling(h4,2),text_5=child(p2,!0);reset(p2);var node_3=sibling(p2,2);Button(node_3,{get class(){return get$3(buttonClass)},get onclick(){return onclick()},get variant(){return get$3(buttonVariant)},children:($$anchor2,$$slotProps)=>{var fragment_1=root_6$7(),node_4=first_child(fragment_1);component(node_4,IconComponent,($$anchor3,IconComponent_1)=>{IconComponent_1($$anchor3,{class:"mr-2 h-4 w-4"})});var text_6=sibling(node_4);template_effect(()=>set_text(
+text_6,` ${buttonText()??""}`)),append($$anchor2,fragment_1)},$$slots:{default:!0}});var node_5=sibling(node_3,2);{var consequent_2=$$anchor2=>{summaryList($$anchor2,()=>opts().summary.show,()=>opts().summary.verb,()=>opts().summary.items)};if_block(node_5,$$render=>{opts()?.summary&&$$render(consequent_2)})}reset(div_1),template_effect(()=>{set_class(div_1,1,`grid gap-1 ${opts()?.wrapperClass??""??""}`),set_class(h4,1,`mt-0 mb-2 text-sm font-medium ${opts()?.titleClass??""??""}`),set_text(text_4,
+title2()),set_text(text_5,description2())}),append($$anchor,div_1)};var root_3$a=from_html('<li class="truncate"> </li>'),root_4$7=from_html('<li class="italic"> </li>'),root_2$f=from_html('<div class="mt-4 grid overflow-x-auto rounded-lg border border-border/50 bg-muted/30 p-4"><h5 class="mb-2 text-sm font-medium"> </h5> <ul class="space-y-1 text-sm text-muted-foreground"><!> <!></ul></div>'),root_6$7=from_html("<!> ",1),root_5$6=from_html('<div><h4> </h4> <p class="mb-4 text-sm text-muted-fore\
+ground"> </p> <!> <!></div>'),root$o=from_html('<div class="space-y-6"><div class="space-y-6"><!> <!> <!></div></div> <!> <!> <!>',1);function SettingsChatImportExportTab($$anchor,$$props){push$1($$props,!0);let exportedConversations=state$1(proxy([])),importedConversations=state$1(proxy([])),showExportSummary=state$1(!1),showImportSummary=state$1(!1),showExportDialog=state$1(!1),showImportDialog=state$1(!1),availableConversations=state$1(proxy([])),messageCountMap=state$1(proxy(new Map)),fullImportData=state$1(
+proxy([])),showDeleteDialog=state$1(!1);async function handleExportClick(){try{const allConversations=conversations();if(allConversations.length===0){toast.info("No conversations to export");return}const conversationsWithMessages=await Promise.all(allConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv,messages}}));set$1(messageCountMap,createMessageCountMap(conversationsWithMessages),!0),set$1(availableConversations,allConversations,
+!0),set$1(showExportDialog,!0)}catch(err){console.error("Failed to load conversations:",err),alert("Failed to load conversations")}}async function handleExportConfirm(selectedConversations){try{const allData=await Promise.all(selectedConversations.map(async conv=>{const messages=await conversationsStore.getConversationMessages(conv.id);return{conv:snapshot(conv),messages:snapshot(messages)}}));conversationsStore.downloadConversationFile(allData),set$1(exportedConversations,selectedConversations,
+!0),set$1(showExportSummary,!0),set$1(showImportSummary,!1),set$1(showExportDialog,!1)}catch(err){console.error("Export failed:",err),alert("Failed to export conversations")}}async function handleImportClick(){try{const input=document.createElement("input");input.type=HtmlInputType.FILE,input.accept=FileExtensionText.JSON,input.onchange=async e=>{const file=e.target?.files?.[0];if(file)try{const text2=await file.text(),parsedData=JSON.parse(text2);let importedData;if(Array.isArray(parsedData))importedData=
+parsedData;else if(parsedData&&typeof parsedData=="object"&&"conv"in parsedData&&"messages"in parsedData)importedData=[parsedData];else throw new Error("Invalid file format: expected array of conversations or single conversation object");set$1(fullImportData,importedData,!0),set$1(availableConversations,importedData.map(item=>item.conv),!0),set$1(messageCountMap,createMessageCountMap(importedData),!0),set$1(showImportDialog,!0)}catch(err){const message=err instanceof Error?err.message:"Unknown e\
+rror";console.error("Failed to parse file:",err),alert(`Failed to parse file: ${message}`)}},input.click()}catch(err){console.error("Import failed:",err),alert("Failed to import conversations")}}async function handleImportConfirm(selectedConversations){try{const selectedIds=new Set(selectedConversations.map(c2=>c2.id)),selectedData=snapshot(get$3(fullImportData)).filter(item=>selectedIds.has(item.conv.id));await conversationsStore.importConversationsData(selectedData),set$1(importedConversations,
+selectedConversations,!0),set$1(showImportSummary,!0),set$1(showExportSummary,!1),set$1(showImportDialog,!1)}catch(err){console.error("Import failed:",err),alert("Failed to import conversations. Please check the file format.")}}async function handleDeleteAllClick(){try{if(conversations().length===0){toast.info("No conversations to delete");return}set$1(showDeleteDialog,!0)}catch(err){console.error("Failed to load conversations for deletion:",err),toast.error("Failed to load conversations")}}async function handleDeleteAllConfirm(){
+try{await conversationsStore.deleteAll(),set$1(showDeleteDialog,!1)}catch(err){console.error("Failed to delete conversations:",err)}}function handleDeleteAllCancel(){set$1(showDeleteDialog,!1)}var fragment_3=root$o(),div_2=first_child(fragment_3),div_3=child(div_2),node_6=child(div_3);section(node_6,()=>"Export Conversations",()=>"Download all your conversations as a JSON file. This includes all messages, attachments, and conversation history.",()=>Download,()=>"Export conversations",()=>handleExportClick,
+()=>({summary:{show:get$3(showExportSummary),verb:"Exported",items:get$3(exportedConversations)}}));var node_7=sibling(node_6,2);section(node_7,()=>"Import Conversations",()=>"Import one or more conversations from a previously exported JSON file. This will merge with your existing conversations.",()=>Upload,()=>"Import conversations",()=>handleImportClick,()=>({wrapperClass:"border-t border-border/30 pt-6",summary:{show:get$3(showImportSummary),verb:"Imported",items:get$3(importedConversations)}}));
+var node_8=sibling(node_7,2);section(node_8,()=>"Delete All Conversations",()=>"Permanently delete all conversations and their messages. This action cannot be undone. Consider exporting your conversations first if you want to keep a backup.",()=>Trash_2,()=>"Delete all conversations",()=>handleDeleteAllClick,()=>({wrapperClass:"border-t border-border/30 pt-4",titleClass:"text-destructive",buttonVariant:"destructive",buttonClass:"text-destructive-foreground justify-start justify-self-start bg-des\
+tructive hover:bg-destructive/80 md:w-auto"})),reset(div_3),reset(div_2);var node_9=sibling(div_2,2);DialogConversationSelection(node_9,{get conversations(){return get$3(availableConversations)},get messageCountMap(){return get$3(messageCountMap)},get mode(){return ConversationSelectionMode.EXPORT},onCancel:()=>set$1(showExportDialog,!1),onConfirm:handleExportConfirm,get open(){return get$3(showExportDialog)},set open($$value){set$1(showExportDialog,$$value,!0)}});var node_10=sibling(node_9,2);DialogConversationSelection(
+node_10,{get conversations(){return get$3(availableConversations)},get messageCountMap(){return get$3(messageCountMap)},get mode(){return ConversationSelectionMode.IMPORT},onCancel:()=>set$1(showImportDialog,!1),onConfirm:handleImportConfirm,get open(){return get$3(showImportDialog)},set open($$value){set$1(showImportDialog,$$value,!0)}});var node_11=sibling(node_10,2);DialogConfirmation(node_11,{title:"Delete all conversations",description:"Are you sure you want to delete all conversations? Thi\
+s action cannot be undone and will permanently remove all your conversations and messages.",confirmText:"Delete All",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleDeleteAllConfirm,onCancel:handleDeleteAllCancel,get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)}}),transition(1,div_2,()=>fade,()=>({duration:150})),append($$anchor,fragment_3),pop()}let _url=state$1("#/");const settingsReferrer={get url(){return get$3(
+_url)},set url(value){set$1(_url,value,!0)}};var root_3$9=from_html('<div class="space-y-6"><!></div>'),root$n=from_html(`<div class="mx-auto flex h-full max-h-[100dvh] w-full flex-col overflow-y-auto md:pl-8"><div class="flex flex-1 flex-col gap-4 md:flex-row"><!> <!> <div class="mx-auto max-w-3xl flex-1"><div class="space-y-6 p-4 md:p-6 md:pt-28"><div class="grid"><div class="mb-6 flex items-center gap-2 border-b border-border/30 pb-6 md:flex"><!> <h3 class="text-lg font-semibold"> </h3></div>\
+ <!></div> <div class="mt-8 border-t border-border/30 pt-6"><p class="text-xs text-muted-foreground">Settings are saved in browser's localStorage</p></div></div> <!></div></div></div>`);function SettingsChat($$anchor,$$props){push$1($$props,!0);let activeSlug=user_derived(()=>$$props.initialSection??page$1.params.section??"general"),currentSection=user_derived(()=>SETTINGS_CHAT_SECTIONS.find(section2=>section2.slug===get$3(activeSlug))||SETTINGS_CHAT_SECTIONS[0]),localConfig=state$1(proxy({...config$1()})),
+mobileHeader;function handleThemeChange(newTheme){get$3(localConfig).theme=newTheme,setMode(newTheme)}function handleConfigChange(key2,value){get$3(localConfig)[key2]=value}function handleReset(){set$1(localConfig,{...config$1()},!0),setMode(get$3(localConfig).theme),mobileHeader?.updateCarousel()}function handleSave(){if(get$3(localConfig).custom&&typeof get$3(localConfig).custom=="string"&&get$3(localConfig).custom.trim())try{JSON.parse(get$3(localConfig).custom)}catch(error2){alert("Invalid J\
+SON in custom parameters. Please check the format and try again."),console.error(error2);return}const processedConfig={...get$3(localConfig)};for(const field of NUMERIC_FIELDS)if(processedConfig[field]!==void 0&&processedConfig[field]!==""){const numValue=Number(processedConfig[field]);if(!isNaN(numValue))POSITIVE_INTEGER_FIELDS.includes(field)?processedConfig[field]=Math.max(1,Math.round(numValue)):processedConfig[field]=numValue;else{alert(`Invalid numeric value for ${field}. Please enter a va\
+lid number.`);return}}settingsStore.updateMultipleConfig(processedConfig),goto(settingsReferrer.url)}function reset$1(){set$1(localConfig,{...config$1()},!0)}setChatSettingsConfigContext({get localConfig(){return get$3(localConfig)},handleConfigChange,handleThemeChange});var $$exports={reset:reset$1},div=root$n(),div_1=child(div),node2=child(div_1);{let $0=user_derived(()=>$$props.getSectionHref??(section2=>`#/settings/chat/${section2.slug}`));SettingsChatDesktopSidebar(node2,{get sections(){return SETTINGS_CHAT_SECTIONS},
+isActive:section2=>section2.slug===get$3(activeSlug),get getHref(){return get$3($0)}})}var node_1=sibling(node2,2);{let $0=user_derived(()=>$$props.getSectionHref??(section2=>`#/settings/chat/${section2.slug}`));bind_this(SettingsChatMobileHeader(node_1,{get sections(){return SETTINGS_CHAT_SECTIONS},isActive:section2=>section2.slug===get$3(activeSlug),get getHref(){return get$3($0)}}),$$value=>mobileHeader=$$value,()=>mobileHeader)}var div_2=sibling(node_1,2),div_3=child(div_2),div_4=child(div_3),
+div_5=child(div_4),node_2=child(div_5);component(node_2,()=>get$3(currentSection).icon,($$anchor2,currentSection_icon)=>{currentSection_icon($$anchor2,{class:"h-5 w-5"})});var h3=sibling(node_2,2),text2=child(h3,!0);reset(h3),reset(div_5);var node_3=sibling(div_5,2);{var consequent=$$anchor2=>{SettingsChatToolsTab($$anchor2,{})},consequent_1=$$anchor2=>{SettingsChatImportExportTab($$anchor2,{})},consequent_2=$$anchor2=>{var div_6=root_3$9(),node_4=child(div_6);SettingsChatFields(node_4,{get fields(){
+return get$3(currentSection).fields},get localConfig(){return get$3(localConfig)},onConfigChange:handleConfigChange,onThemeChange:handleThemeChange}),reset(div_6),append($$anchor2,div_6)};if_block(node_3,$$render=>{get$3(currentSection).title===SETTINGS_SECTION_TITLES.TOOLS?$$render(consequent):get$3(currentSection).title===SETTINGS_SECTION_TITLES.IMPORT_EXPORT?$$render(consequent_1,1):get$3(currentSection).fields&&$$render(consequent_2,2)})}reset(div_4),next$1(2),reset(div_3);var node_5=sibling(
+div_3,2);return SettingsChatFooter(node_5,{onReset:handleReset,onSave:handleSave}),reset(div_2),reset(div_1),reset(div),template_effect(()=>set_text(text2,get$3(currentSection).title)),transition(1,div,()=>fade,()=>({duration:150})),append($$anchor,div),pop($$exports)}var root_2$e=from_html('<a><!> <span class="ml-2"> </span></a>'),root_3$8=from_html('<button><!> <span class="ml-2"> </span></button>'),root$m=from_html('<div class="sticky top-0 hidden w-64 flex-col self-start bg-background pt-10 \
+pb-4 md:flex"><div class="flex items-center gap-2 pb-10"><!> <h1 class="text-2xl font-semibold">Settings</h1></div> <nav class="space-y-1"></nav></div>');function SettingsChatDesktopSidebar($$anchor,$$props){push$1($$props,!0);var div=root$m(),div_1=child(div),node2=child(div_1);Settings$1(node2,{class:"h-6 w-6"}),next$1(2),reset(div_1);var nav=sibling(div_1,2);each(nav,21,()=>$$props.sections,section2=>section2.title,($$anchor2,section2)=>{var fragment=comment$2(),node_1=first_child(fragment);{
+var consequent=$$anchor3=>{var a=root_2$e(),node_2=child(a);component(node_2,()=>get$3(section2).icon,($$anchor4,section_icon)=>{section_icon($$anchor4,{class:"h-4 w-4"})});var span=sibling(node_2,2),text2=child(span,!0);reset(span),reset(a),template_effect(($0,$1)=>{set_class(a,1,`flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm no-underline transition-colors hover:bg-accent ${$0??""}`),set_attribute(a,"href",$1),set_text(text2,get$3(section2).title)},[()=>$$props.
+isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.getHref(get$3(section2))]),append($$anchor3,a)},alternate=$$anchor3=>{var button=root_3$8(),node_3=child(button);component(node_3,()=>get$3(section2).icon,($$anchor4,section_icon_1)=>{section_icon_1($$anchor4,{class:"h-4 w-4"})});var span_1=sibling(node_3,2),text_1=child(span_1,!0);reset(span_1),reset(button),template_effect($0=>{set_class(button,1,`flex w-full cursor-pointer items-center gap-3 round\
+ed-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent ${$0??""}`),set_text(text_1,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground"]),delegated("click",button,()=>$$props.onSectionChange?.(get$3(section2).title)),append($$anchor3,button)};if_block(node_1,$$render=>{$$props.getHref?$$render(consequent):$$render(alternate,-1)})}append($$anchor2,fragment)}),reset(nav),reset(div),append($$anchor,div),pop()}delegate(
+["click"]);function useScrollCarousel(){let canScrollLeft=state$1(!1),canScrollRight=state$1(!1),scrollContainer=state$1(void 0);function scrollToCenter(element2){if(!get$3(scrollContainer))return;const containerRect=get$3(scrollContainer).getBoundingClientRect(),elementRect=element2.getBoundingClientRect(),elementCenter=elementRect.left+elementRect.width/2,containerCenter=containerRect.left+containerRect.width/2,scrollOffset=elementCenter-containerCenter;get$3(scrollContainer).scrollBy({left:scrollOffset,
+behavior:"smooth"})}function scrollLeft(){get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:-250,behavior:"smooth"})}function scrollRight(){get$3(scrollContainer)&&get$3(scrollContainer).scrollBy({left:250,behavior:"smooth"})}function updateScrollButtons(){if(!get$3(scrollContainer))return;const{scrollLeft:sl,scrollWidth,clientWidth}=get$3(scrollContainer);set$1(canScrollLeft,sl>0),set$1(canScrollRight,sl<scrollWidth-clientWidth-1)}return user_effect(()=>{get$3(scrollContainer)&&updateScrollButtons()}),
+{get canScrollLeft(){return get$3(canScrollLeft)},get canScrollRight(){return get$3(canScrollRight)},get scrollContainer(){return get$3(scrollContainer)},set scrollContainer(el){set$1(scrollContainer,el,!0)},scrollToCenter,scrollLeft,scrollRight,updateScrollButtons}}var root_2$d=from_html("<a><!> <span> </span></a>"),root_3$7=from_html("<button><!> <span> </span></button>"),root$l=from_html('<div class="sticky top-0 z-10 flex flex-col bg-background md:hidden"><div class="flex items-center gap-2 \
+px-4 pt-4 pb-2 md:pt-6"><!> <h1 class="text-xl font-semibold md:text-2xl">Settings</h1></div> <div class="border-b border-border/30 py-2"><div class="relative flex items-center" style="scroll-padding: 1rem;"><button aria-label="Scroll left"><!></button> <div class="scrollbar-hide overflow-x-auto py-2"><div class="flex min-w-max gap-2"></div></div> <button aria-label="Scroll right"><!></button></div></div></div>');function SettingsChatMobileHeader($$anchor,$$props){push$1($$props,!0);const carousel=useScrollCarousel();
+onMount$1(async()=>{if(await tick(),carousel.scrollContainer){const activeTab=carousel.scrollContainer.querySelector('[data-active="true"]');activeTab instanceof HTMLElement&&carousel.scrollToCenter(activeTab)}});function updateCarousel(){setTimeout(carousel.updateScrollButtons,100)}var $$exports={updateCarousel},div=root$l(),div_1=child(div),node2=child(div_1);Settings$1(node2,{class:"h-5 w-5 md:h-6 md:w-6"}),next$1(2),reset(div_1);var div_2=sibling(div_1,2),div_3=child(div_2),button=child(div_3),
+node_1=child(button);Chevron_left(node_1,{class:"h-4 w-4"}),reset(button);var div_4=sibling(button,2),div_5=child(div_4);each(div_5,21,()=>$$props.sections,section2=>section2.title,($$anchor2,section2)=>{var fragment=comment$2(),node_2=first_child(fragment);{var consequent=$$anchor3=>{var a=root_2$d(),node_3=child(a);component(node_3,()=>get$3(section2).icon,($$anchor4,section_icon)=>{section_icon($$anchor4,{class:"h-4 w-4 flex-shrink-0"})});var span=sibling(node_3,2),text2=child(span,!0);reset(
+span),reset(a),template_effect(($0,$1,$2)=>{set_class(a,1,`flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap no-underline transition-colors first:ml-4 last:mr-4 hover:bg-accent ${$0??""}`),set_attribute(a,"data-active",$1),set_attribute(a,"href",$2),set_text(text2,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.isActive(get$3(section2)),()=>$$props.getHref(get$3(section2))]),
+delegated("click",a,e=>{carousel.scrollToCenter(e.currentTarget)}),append($$anchor3,a)},alternate=$$anchor3=>{var button_1=root_3$7(),node_4=child(button_1);component(node_4,()=>get$3(section2).icon,($$anchor4,section_icon_1)=>{section_icon_1($$anchor4,{class:"h-4 w-4 flex-shrink-0"})});var span_1=sibling(node_4,2),text_1=child(span_1,!0);reset(span_1),reset(button_1),template_effect(($0,$1)=>{set_class(button_1,1,`flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-no\
+wrap transition-colors first:ml-4 last:mr-4 hover:bg-accent ${$0??""}`),set_attribute(button_1,"data-active",$1),set_text(text_1,get$3(section2).title)},[()=>$$props.isActive(get$3(section2))?"bg-accent text-accent-foreground":"text-muted-foreground",()=>$$props.isActive(get$3(section2))]),delegated("click",button_1,e=>{$$props.onSectionChange?.(get$3(section2).title),carousel.scrollToCenter(e.currentTarget)}),append($$anchor3,button_1)};if_block(node_2,$$render=>{$$props.getHref?$$render(consequent):
+$$render(alternate,-1)})}append($$anchor2,fragment)}),reset(div_5),reset(div_4),bind_this(div_4,$$value=>carousel.scrollContainer=$$value,()=>carousel?.scrollContainer);var button_2=sibling(div_4,2),node_5=child(button_2);return Chevron_right(node_5,{class:"h-4 w-4"}),reset(button_2),reset(div_3),reset(div_2),reset(div),template_effect(()=>{set_class(button,1,`absolute left-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:b\
+g-accent ${carousel.canScrollLeft?"opacity-100":"pointer-events-none opacity-0"}`),set_class(button_2,1,`absolute right-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent ${carousel.canScrollRight?"opacity-100":"pointer-events-none opacity-0"}`)}),delegated("click",button,function(...$$args){carousel.scrollLeft?.apply(this,$$args)}),event("scroll",div_4,function(...$$args){carousel.updateScrollButtons?.apply(this,$$args)}),
+delegated("click",button_2,function(...$$args){carousel.scrollRight?.apply(this,$$args)}),append($$anchor,div),pop($$exports)}delegate(["click"]);function filterModelOptions(options,searchTerm){const term=searchTerm.trim().toLowerCase();return term?options.filter(option2=>option2.model.toLowerCase().includes(term)||option2.name?.toLowerCase().includes(term)||option2.aliases?.some(alias=>alias.toLowerCase().includes(term))||option2.tags?.some(tag=>tag.toLowerCase().includes(term))):options}function groupModelOptions(filteredOptions,favoriteIds,isModelLoaded){
+const loaded=[];for(let i=0;i<filteredOptions.length;i++)isModelLoaded(filteredOptions[i].model)&&loaded.push({option:filteredOptions[i],flatIndex:i});const loadedModelIds=new Set(loaded.map(item=>item.option.model)),favorites=[];for(let i=0;i<filteredOptions.length;i++)favoriteIds.has(filteredOptions[i].model)&&!loadedModelIds.has(filteredOptions[i].model)&&favorites.push({option:filteredOptions[i],flatIndex:i});const available=[],orgGroups=new SvelteMap;for(let i=0;i<filteredOptions.length;i++){
+const option2=filteredOptions[i];if(loadedModelIds.has(option2.model)||favoriteIds.has(option2.model))continue;const key2=option2.parsedId?.orgName??"";orgGroups.has(key2)||orgGroups.set(key2,[]),orgGroups.get(key2).push({option:option2,flatIndex:i})}for(const[orgName,items2]of orgGroups)available.push({orgName:orgName||null,items:items2});return{loaded,favorites,available}}function useModelsSelector(opts){const options=user_derived(()=>modelOptions().filter(option2=>modelsStore.getModelProps(option2.
+model)?.webui!==!1)),loading=user_derived(modelsLoading),updating=user_derived(modelsUpdating),activeId=user_derived(selectedModelId),isRouter=user_derived(isRouterMode),serverModel=user_derived(singleModelName),currentModel=user_derived(()=>opts.currentModel()),useGlobalSelection=user_derived(()=>opts.useGlobalSelection?.()??!1),onModelChange=user_derived(()=>opts.onModelChange?.()),isHighlightedCurrentModelActive=user_derived(()=>{if(!get$3(isRouter)||!get$3(currentModel))return!1;const currentOption=get$3(
+options).find(option2=>option2.model===get$3(currentModel));return currentOption?currentOption.id===get$3(activeId):!1}),isCurrentModelInCache=user_derived(()=>!get$3(isRouter)||!get$3(currentModel)?!0:get$3(options).some(option2=>option2.model===get$3(currentModel)));let isLoadingModel=state$1(!1),searchTerm=state$1(""),showModelDialog=state$1(!1),infoModelId=state$1(null);const filteredOptions=user_derived(()=>filterModelOptions(get$3(options),get$3(searchTerm))),groupedFilteredOptions=user_derived(
+()=>groupModelOptions(get$3(filteredOptions),modelsStore.favoriteModelIds,m=>modelsStore.isModelLoaded(m)));function handleInfoClick(modelName){set$1(infoModelId,modelName,!0),set$1(showModelDialog,!0)}onMount$1(()=>{modelsStore.fetch().catch(error2=>{console.error("Unable to load models:",error2)})});function handleOpenChange(open2){get$3(loading)||get$3(updating)||(get$3(isRouter)?(set$1(searchTerm,""),open2&&modelsStore.fetchRouterModels().then(()=>{modelsStore.fetchModalitiesForLoadedModels()}),
+opts.onOpenChange?.(open2)):set$1(showModelDialog,open2,!0))}async function handleSelect(modelId){const option2=get$3(options).find(opt=>opt.id===modelId);if(!option2)return;let shouldCloseMenu=!0;get$3(onModelChange)?await get$3(onModelChange)(option2.id,option2.model)===!1&&(shouldCloseMenu=!1):await modelsStore.selectModelById(option2.id),shouldCloseMenu&&(handleOpenChange(!1),requestAnimationFrame(()=>{document.querySelector('[data-slot="chat-form"] textarea')?.focus()})),!get$3(onModelChange)&&
+get$3(isRouter)&&!modelsStore.isModelLoaded(option2.model)&&(set$1(isLoadingModel,!0),modelsStore.loadModel(option2.model).catch(error2=>console.error("Failed to load model:",error2)).finally(()=>set$1(isLoadingModel,!1)))}function getDisplayOption(){if(!get$3(isRouter)){const displayModel=get$3(serverModel)||get$3(currentModel);return displayModel?{id:get$3(serverModel)?"current":"offline-current",model:displayModel,name:displayModel.split("/").pop()||displayModel,capabilities:[]}:void 0}if(get$3(
+useGlobalSelection)&&get$3(activeId)){const selected=get$3(options).find(option2=>option2.id===get$3(activeId));if(selected)return selected}if(get$3(currentModel))return get$3(isCurrentModelInCache)?get$3(options).find(option2=>option2.model===get$3(currentModel)):{id:"not-in-cache",model:get$3(currentModel),name:get$3(currentModel).split("/").pop()||get$3(currentModel),capabilities:[]};if(get$3(activeId))return get$3(options).find(option2=>option2.id===get$3(activeId))}return{get options(){return get$3(
+options)},get loading(){return get$3(loading)},get updating(){return get$3(updating)},get activeId(){return get$3(activeId)},get isRouter(){return get$3(isRouter)},get serverModel(){return get$3(serverModel)},get isHighlightedCurrentModelActive(){return get$3(isHighlightedCurrentModelActive)},get isCurrentModelInCache(){return get$3(isCurrentModelInCache)},get filteredOptions(){return get$3(filteredOptions)},get groupedFilteredOptions(){return get$3(groupedFilteredOptions)},get isLoadingModel(){
+return get$3(isLoadingModel)},get searchTerm(){return get$3(searchTerm)},get showModelDialog(){return get$3(showModelDialog)},get infoModelId(){return get$3(infoModelId)},setSearchTerm(value){set$1(searchTerm,value,!0)},setShowModelDialog(value){set$1(showModelDialog,value,!0)},handleInfoClick,handleSelect,handleOpenChange,isFavorite(model){return modelsStore.favoriteModelIds.has(model)},getDisplayOption}}var root_1$8=from_html('<div class="flex items-center gap-2 text-xs text-muted-foreground">\
+<!> Loading models…</div>'),root_3$6=from_html('<span style="max-width: min(calc(100cqw - 10rem), 20rem)"><!> <!></span>'),root_4$6=from_html('<p class="text-xs text-muted-foreground">No models available.</p>'),root_12$1=from_html('<p class="font-mono"> </p>'),root_10$2=from_html("<!> <!>",1),root_13$1=from_html('<span class="min-w-0 font-medium">Select model</span>'),root_8$6=from_html("<!> <!> <!>",1),root_19$1=from_html('<button type="button" class="flex w-full cursor-not-allowed items-cent\
+er bg-red-400/10 p-2 text-left text-sm text-red-400" role="option" aria-selected="true" aria-disabled="true" disabled=""><!> <span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span></button>'),root_20=from_html('<p class="px-4 py-3 text-sm text-muted-foreground">No models found.</p>'),root_17$1=from_html('<div class="models-list"><!> <!> <!></div>'),root_7$6=from_html("<!> <!>",1),root_25=from_html('<p class="font-mono"> </p>'),root_23=from_html("<!> <!>",1),root_21=from_html(
+'<button style="max-width: min(calc(100cqw - 6.5rem), 32rem)"><!> <!> <!></button>'),root$k=from_html("<div><!></div> <!>",1);function ModelsSelectorDropdown($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop($$props,"currentModel",3,null),disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),isOpen=state$1(!1),highlightedIndex=state$1(-1);const ms=useModelsSelector(
+{currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(isOpen,open3,!0),set$1(highlightedIndex,-1)}});user_effect(()=>{ms.searchTerm,set$1(highlightedIndex,-1)});function open2(){ms.handleOpenChange(!0)}function handleSearchKeyDown(event2){if(!event2.isComposing){if(event2.key===KeyboardKey.ARROW_DOWN){if(event2.preventDefault(),ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)===
+ms.filteredOptions.length-1?set$1(highlightedIndex,0):set$1(highlightedIndex,get$3(highlightedIndex)+1)}else if(event2.key===KeyboardKey.ARROW_UP){if(event2.preventDefault(),ms.filteredOptions.length===0)return;get$3(highlightedIndex)===-1||get$3(highlightedIndex)===0?set$1(highlightedIndex,ms.filteredOptions.length-1):set$1(highlightedIndex,get$3(highlightedIndex)-1)}else if(event2.key===KeyboardKey.ENTER)if(event2.preventDefault(),get$3(highlightedIndex)>=0&&get$3(highlightedIndex)<ms.filteredOptions.
+length){const option2=ms.filteredOptions[get$3(highlightedIndex)];ms.handleSelect(option2.id)}else ms.filteredOptions.length>0&&set$1(highlightedIndex,0)}}var $$exports={open:open2},fragment=root$k(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$8(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},consequent_2=$$anchor2=>{var fragment_1=comment$2(),node_2=first_child(fragment_1);{
+var consequent_1=$$anchor3=>{var span=root_3$6(),node_3=child(span);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);ModelId(node_4,{get modelId(){return currentModel()},class:"min-w-0",hideQuantization:!0}),reset(span),template_effect(()=>set_class(span,1,clsx(["inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground",className()]))),append($$anchor3,span)},alternate=$$anchor3=>{var p2=root_4$6();append($$anchor3,p2)};if_block(
+node_2,$$render=>{currentModel()?$$render(consequent_1):$$render(alternate,-1)})}append($$anchor2,fragment_1)},alternate_4=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_2=comment$2(),node_5=first_child(fragment_2);{var consequent_7=$$anchor3=>{var fragment_3=comment$2(),node_6=first_child(fragment_3);component(node_6,()=>Root$4,($$anchor4,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor4,{get onOpenChange(){return ms.handleOpenChange},get open(){return get$3(
+isOpen)},set open($$value){set$1(isOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{var fragment_4=root_7$6(),node_7=first_child(fragment_4);{let $0=user_derived(()=>["inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foregr\
+ound/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)&&"text-foreground","max-w-[min(calc(100vw-4rem) md:max-w-[min(calc(100cqw-9rem),25rem)]"]),$1=user_derived(()=>disabled()||ms.updating);component(node_7,()=>Dropdown_menu_trigger,($$anchor6,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor6,{get class(){return get$3($0)},
+get disabled(){return get$3($1)},children:($$anchor7,$$slotProps2)=>{var fragment_5=root_8$6(),node_8=first_child(fragment_5);Package(node_8,{class:"h-3.5 w-3.5"});var node_9=sibling(node_8,2);{var consequent_3=$$anchor8=>{var fragment_6=comment$2(),node_10=first_child(fragment_6);component(node_10,()=>Root$5,($$anchor9,Tooltip_Root)=>{Tooltip_Root($$anchor9,{children:($$anchor10,$$slotProps3)=>{var fragment_7=root_10$2(),node_11=first_child(fragment_7);{const child2=($$anchor11,$$arg0)=>{ModelId(
+$$anchor11,spread_props({get modelId(){return get$3(selectedOption).model},class:"min-w-0 overflow-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_11,()=>Tooltip_trigger,($$anchor11,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor11,{child:child2,$$slots:{child:!0}})})}var node_12=sibling(node_11,2);component(node_12,()=>Tooltip_content,($$anchor11,Tooltip_Content)=>{Tooltip_Content($$anchor11,{children:($$anchor12,$$slotProps4)=>{var p_1=root_12$1(),text2=child(p_1,!0);reset(p_1),template_effect(
+()=>set_text(text2,get$3(selectedOption).model)),append($$anchor12,p_1)},$$slots:{default:!0}})}),append($$anchor10,fragment_7)},$$slots:{default:!0}})}),append($$anchor8,fragment_6)},alternate_1=$$anchor8=>{var span_1=root_13$1();append($$anchor8,span_1)};if_block(node_9,$$render=>{get$3(selectedOption)?$$render(consequent_3):$$render(alternate_1,-1)})}var node_13=sibling(node_9,2);{var consequent_4=$$anchor8=>{Loader_circle($$anchor8,{class:"h-3 w-3.5 animate-spin"})},alternate_2=$$anchor8=>{Chevron_down(
+$$anchor8,{class:"h-3 w-3.5"})};if_block(node_13,$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_4):$$render(alternate_2,-1)})}append($$anchor7,fragment_5)},$$slots:{default:!0}})})}var node_14=sibling(node_7,2);component(node_14,()=>Dropdown_menu_content,($$anchor6,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor6,{align:"end",class:"w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]",children:($$anchor7,$$slotProps2)=>{{let $0=user_derived(()=>ms.filteredOptions.
+length===0&&ms.isCurrentModelInCache);DropdownMenuSearchable($$anchor7,{get searchValue(){return ms.searchTerm},onSearchChange:v=>ms.setSearchTerm(v),placeholder:"Search models...",onSearchKeyDown:handleSearchKeyDown,emptyMessage:"No models found.",get isEmpty(){return get$3($0)},children:($$anchor8,$$slotProps3)=>{var div_2=root_17$1();{const modelOption=($$anchor9,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2,flatIndex}=item();return{option:option2,
+flatIndex}}),isSelected=user_derived(()=>currentModel()===get$3(computed_const).option.model||ms.activeId===get$3(computed_const).option.id),isHighlighted=user_derived(()=>get$3(computed_const).flatIndex===get$3(highlightedIndex)),isFav=user_derived(()=>ms.isFavorite(get$3(computed_const).option.model));ModelsSelectorOption($$anchor9,{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},get isHighlighted(){return get$3(isHighlighted)},get isFav(){return get$3(
+isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},onMouseEnter:()=>set$1(highlightedIndex,get$3(computed_const).flatIndex,!0),onKeyDown:event2=>{(event2.key===KeyboardKey.ENTER||event2.key===KeyboardKey.SPACE)&&(event2.preventDefault(),ms.handleSelect(get$3(computed_const).option.id))}})};var node_15=child(div_2);{var consequent_5=$$anchor9=>{var button=root_19$1(),node_16=child(button);ModelId(node_16,{get modelId(){
+return currentModel()},class:"flex-1",hideQuantization:!0}),next$1(2),reset(button),append($$anchor9,button)};if_block(node_15,$$render=>{!ms.isCurrentModelInCache&&currentModel()&&$$render(consequent_5)})}var node_17=sibling(node_15,2);{var consequent_6=$$anchor9=>{var p_2=root_20();append($$anchor9,p_2)};if_block(node_17,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_6)})}var node_18=sibling(node_17,2);ModelsSelectorList(node_18,{get groups(){return ms.groupedFilteredOptions},get currentModel(){
+return currentModel()},get activeId(){return ms.activeId},sectionHeaderClass:"my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick},get renderOption(){return modelOption}}),reset(div_2)}append($$anchor8,div_2)},$$slots:{default:!0}})}},$$slots:{default:!0}})}),append($$anchor5,fragment_4)},$$slots:{default:!0}})}),append($$anchor3,fragment_3)},alternate_3=$$anchor3=>{var button_1=root_21(),
+node_19=child(button_1);Package(node_19,{class:"h-3.5 w-3.5"});var node_20=sibling(node_19,2);{var consequent_8=$$anchor4=>{var fragment_13=comment$2(),node_21=first_child(fragment_13);component(node_21,()=>Root$5,($$anchor5,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor5,{children:($$anchor6,$$slotProps)=>{var fragment_14=root_23(),node_22=first_child(fragment_14);{const child2=($$anchor7,$$arg0)=>{ModelId($$anchor7,spread_props({get modelId(){return get$3(selectedOption).model},class:"min-w-0 overf\
+low-hidden",hideOrgName:!1},()=>$$arg0?.().props))};component(node_22,()=>Tooltip_trigger,($$anchor7,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor7,{child:child2,$$slots:{child:!0}})})}var node_23=sibling(node_22,2);component(node_23,()=>Tooltip_content,($$anchor7,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor7,{children:($$anchor8,$$slotProps2)=>{var p_3=root_25(),text_1=child(p_3,!0);reset(p_3),template_effect(()=>set_text(text_1,get$3(selectedOption).model)),append($$anchor8,p_3)},$$slots:{
+default:!0}})}),append($$anchor6,fragment_14)},$$slots:{default:!0}})}),append($$anchor4,fragment_13)};if_block(node_20,$$render=>{get$3(selectedOption)&&$$render(consequent_8)})}var node_24=sibling(node_20,2);{var consequent_9=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_24,$$render=>{ms.updating&&$$render(consequent_9)})}reset(button_1),template_effect(()=>{set_class(button_1,1,clsx(["inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-backgrou\
+nd px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(isOpen)&&"text-foreground"])),button_1.disabled=disabled()||
+ms.updating}),delegated("click",button_1,()=>ms.handleOpenChange(!0)),append($$anchor3,button_1)};if_block(node_5,$$render=>{ms.isRouter?$$render(consequent_7):$$render(alternate_3,-1)})}append($$anchor2,fragment_2)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render(consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_2,1):$$render(alternate_4,-1)})}reset(div);var node_25=sibling(div,2);{var consequent_10=$$anchor2=>{DialogModelInformation($$anchor2,
+{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})};if_block(node_25,$$render=>{ms.showModelDialog&&$$render(consequent_10)})}return template_effect(()=>set_class(div,1,clsx(["relative inline-flex flex-col items-end gap-1",className()]))),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$c=from_html("<p>Loaded models</p> <!>",1),root_4$5=from_html("<p>Favorite models</p> <!>",1),root_8$5=from_html("<p> </p>"),
+root_7$5=from_html("<!> <!>",1),root_6$6=from_html("<p>Available models</p> <!>",1),root$j=from_html("<!> <!> <!>",1);function ModelsSelectorList($$anchor,$$props){push$1($$props,!0);const defaultOption=($$anchor2,item=noop$3,hideOrgName=noop$3)=>{const computed_const=user_derived(()=>{const{option:option2}=item();return{option:option2}}),isSelected=user_derived(()=>$$props.currentModel===get$3(computed_const).option.model||$$props.activeId===get$3(computed_const).option.id),isFav=user_derived(()=>modelsStore.
+favoriteModelIds.has(get$3(computed_const).option.model));ModelsSelectorOption($$anchor2,{get option(){return get$3(computed_const).option},get isSelected(){return get$3(isSelected)},isHighlighted:!1,get isFav(){return get$3(isFav)},get hideOrgName(){return hideOrgName()},get onSelect(){return $$props.onSelect},get onInfoClick(){return $$props.onInfoClick},onMouseEnter:()=>{},onKeyDown:()=>{}})};let sectionHeaderClass=prop($$props,"sectionHeaderClass",3,"my-1 px-2 py-2 text-[13px] font-semibold \
+text-muted-foreground/70 select-none"),orgHeaderClass=prop($$props,"orgHeaderClass",3,"px-2 py-2 text-[11px] font-semibold text-muted-foreground/50 select-none [&:not(:first-child)]:mt-1"),render3=user_derived(()=>$$props.renderOption??defaultOption);var fragment_1=root$j(),node2=first_child(fragment_1);{var consequent=$$anchor2=>{var fragment_2=root_2$c(),p2=first_child(fragment_2),node_1=sibling(p2,2);each(node_1,17,()=>$$props.groups.loaded,item=>`loaded-${item.option.id}`,($$anchor3,item)=>{
+var fragment_3=comment$2(),node_2=first_child(fragment_3);snippet(node_2,()=>get$3(render3),()=>get$3(item),()=>!1),append($$anchor3,fragment_3)}),template_effect(()=>set_class(p2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_2)};if_block(node2,$$render=>{$$props.groups.loaded.length>0&&$$render(consequent)})}var node_3=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_4=root_4$5(),p_1=first_child(fragment_4),node_4=sibling(p_1,2);each(node_4,17,()=>$$props.groups.favorites,
+item=>`fav-${item.option.id}`,($$anchor3,item)=>{var fragment_5=comment$2(),node_5=first_child(fragment_5);snippet(node_5,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor3,fragment_5)}),template_effect(()=>set_class(p_1,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_4)};if_block(node_3,$$render=>{$$props.groups.favorites.length>0&&$$render(consequent_1)})}var node_6=sibling(node_3,2);{var consequent_3=$$anchor2=>{var fragment_6=root_6$6(),p_2=first_child(fragment_6),node_7=sibling(
+p_2,2);each(node_7,17,()=>$$props.groups.available,group=>group.orgName,($$anchor3,group)=>{var fragment_7=root_7$5(),node_8=first_child(fragment_7);{var consequent_2=$$anchor4=>{var p_3=root_8$5(),text2=child(p_3,!0);reset(p_3),template_effect(()=>{set_class(p_3,1,clsx(orgHeaderClass())),set_text(text2,get$3(group).orgName)}),append($$anchor4,p_3)};if_block(node_8,$$render=>{get$3(group).orgName&&$$render(consequent_2)})}var node_9=sibling(node_8,2);each(node_9,17,()=>get$3(group).items,item=>item.
+option.id,($$anchor4,item)=>{var fragment_8=comment$2(),node_10=first_child(fragment_8);snippet(node_10,()=>get$3(render3),()=>get$3(item),()=>!0),append($$anchor4,fragment_8)}),append($$anchor3,fragment_7)}),template_effect(()=>set_class(p_2,1,clsx(sectionHeaderClass()))),append($$anchor2,fragment_6)};if_block(node_6,$$render=>{$$props.groups.available.length>0&&$$render(consequent_3)})}append($$anchor,fragment_1),pop()}var root_5$5=from_html('<div class="flex w-4 items-center justify-center"><\
+!> <div class="hidden group-hover:flex"><!></div></div>'),root_6$5=from_html('<div class="flex w-4 items-center justify-center"><span class="h-2 w-2 rounded-full bg-orange-400 group-hover:hidden"></span> <div class="hidden group-hover:flex"><!></div></div>'),root_7$4=from_html('<div class="flex w-4 items-center justify-center"><span class="h-2 w-2 rounded-full bg-green-500 group-hover:hidden"></span> <div class="hidden group-hover:flex"><!></div></div>'),root_8$4=from_html('<div class="flex w-4 \
+items-center justify-center"><span class="h-2 w-2 rounded-full bg-muted-foreground/50 group-hover:hidden"></span> <div class="hidden group-hover:flex"><!></div></div>'),root$i=from_html('<div role="option" tabindex="0"><!> <div class="flex shrink-0 items-center gap-1"><div class="pointer-events-none flex items-center justify-center gap-0.75 pl-2 opacity-0 group-hover:pointer-events-auto group-hover:opacity-100"><!> <!></div> <!></div></div>');function ModelsSelectorOption($$anchor,$$props){push$1(
+$$props,!0);let hideOrgName=prop($$props,"hideOrgName",3,!1),currentRouterModels=user_derived(routerModels),serverStatus=user_derived(()=>get$3(currentRouterModels).find(m=>m.id===$$props.option.model)?.status?.value??null),isOperationInProgress=user_derived(()=>modelsStore.isModelOperationInProgress($$props.option.model)),isFailed=user_derived(()=>get$3(serverStatus)===ServerModelStatus.FAILED),isSleeping=user_derived(()=>get$3(serverStatus)===ServerModelStatus.SLEEPING),isLoaded=user_derived(()=>(get$3(
+serverStatus)===ServerModelStatus.LOADED||get$3(isSleeping))&&!get$3(isOperationInProgress)),isLoading2=user_derived(()=>get$3(serverStatus)===ServerModelStatus.LOADING||get$3(isOperationInProgress));var div=root$i(),node2=child(div);ModelId(node2,{get modelId(){return $$props.option.model},get hideOrgName(){return hideOrgName()},get aliases(){return $$props.option.aliases},get tags(){return $$props.option.tags},class:"flex-1"});var div_1=sibling(node2,2),div_2=child(div_1),node_1=child(div_2);{
+var consequent=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart_off},tooltip:"Remove from favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})},alternate=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Heart},tooltip:"Add to favorites",class:"h-3 w-3 hover:text-foreground",onclick:()=>modelsStore.toggleFavorite($$props.option.model)})};if_block(node_1,$$render=>{$$props.isFav?$$render(
+consequent):$$render(alternate,-1)})}var node_2=sibling(node_1,2);{var consequent_1=$$anchor2=>{ActionIcon($$anchor2,{iconSize:"h-2.5 w-2.5",get icon(){return Info$1},tooltip:"Model information",class:"h-3 w-3 hover:text-foreground",onclick:()=>$$props.onInfoClick($$props.option.model)})};if_block(node_2,$$render=>{get$3(isLoaded)&&$$props.onInfoClick&&$$render(consequent_1)})}reset(div_2);var node_3=sibling(div_2,2);{var consequent_2=$$anchor2=>{Loader_circle($$anchor2,{class:"h-4 w-4 animate-s\
+pin text-muted-foreground"})},consequent_3=$$anchor2=>{var div_3=root_5$5(),node_4=child(div_3);Circle_alert(node_4,{class:"h-3.5 w-3.5 text-red-500 group-hover:hidden"});var div_4=sibling(node_4,2),node_5=child(div_4);ActionIcon(node_5,{iconSize:"h-2.5 w-2.5",get icon(){return Rotate_cw},tooltip:"Retry loading model",class:"h-3 w-3 text-red-500 hover:text-foreground",onclick:()=>modelsStore.loadModel($$props.option.model),stopPropagationOnClick:!0}),reset(div_4),reset(div_3),append($$anchor2,div_3)},
+consequent_4=$$anchor2=>{var div_5=root_6$5(),div_6=sibling(child(div_5),2),node_6=child(div_6);ActionIcon(node_6,{iconSize:"h-2.5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:e=>{e?.stopPropagation(),modelsStore.unloadModel($$props.option.model)}}),reset(div_6),reset(div_5),append($$anchor2,div_5)},consequent_5=$$anchor2=>{var div_7=root_7$4(),div_8=sibling(child(div_7),2),node_7=child(div_8);ActionIcon(node_7,{iconSize:"h-2.\
+5 w-2.5",get icon(){return Power_off},tooltip:"Unload model",class:"h-3 w-3 text-red-500 hover:text-red-600",onclick:()=>modelsStore.unloadModel($$props.option.model),stopPropagationOnClick:!0}),reset(div_8),reset(div_7),append($$anchor2,div_7)},alternate_1=$$anchor2=>{var div_9=root_8$4(),div_10=sibling(child(div_9),2),node_8=child(div_10);ActionIcon(node_8,{iconSize:"h-2.5 w-2.5",get icon(){return Power},tooltip:"Load model",class:"h-3 w-3",onclick:()=>modelsStore.loadModel($$props.option.model),
+stopPropagationOnClick:!0}),reset(div_10),reset(div_9),append($$anchor2,div_9)};if_block(node_3,$$render=>{get$3(isLoading2)?$$render(consequent_2):get$3(isFailed)?$$render(consequent_3,1):get$3(isSleeping)?$$render(consequent_4,2):get$3(isLoaded)?$$render(consequent_5,3):$$render(alternate_1,-1)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,clsx(["group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm transition focus:outline-none","cursor-pointer hover:bg-muted \
+focus:bg-muted",($$props.isSelected||$$props.isHighlighted)&&"bg-accent text-accent-foreground",!($$props.isSelected||$$props.isHighlighted)&&"hover:bg-accent hover:text-accent-foreground",get$3(isLoaded)?"text-popover-foreground":"text-muted-foreground"])),set_attribute(div,"aria-selected",$$props.isSelected||$$props.isHighlighted)}),delegated("click",div,()=>$$props.onSelect($$props.option.id)),event("mouseenter",div,function(...$$args){$$props.onMouseEnter?.apply(this,$$args)}),delegated("key\
+down",div,function(...$$args){$$props.onKeyDown?.apply(this,$$args)}),delegated("click",div_2,e=>e.stopPropagation()),append($$anchor,div),pop()}delegate(["click","keydown"]);var root_1$7=from_html('<div class="flex items-center gap-2 text-xs text-muted-foreground"><!> Loading models…</div>'),root_2$b=from_html('<p class="text-xs text-muted-foreground">No models available.</p>'),root_5$4=from_html('<span class="min-w-0 font-medium">Select model</span>'),root_11$2=from_html("<!> <!>",1),root_14=from_html(
+'<button type="button" class="flex w-full cursor-not-allowed items-center rounded-md bg-red-400/10 px-3 py-2.5 text-left text-sm text-red-400" disabled=""><span class="min-w-0 flex-1 truncate"> </span> <span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span></button> <div class="my-1 h-px bg-border"></div>',1),root_15$1=from_html('<p class="px-3 py-3 text-center text-sm text-muted-foreground">No models found.</p>'),root_10$1=from_html('<!> <div class="flex flex-col gap-1 pb\
+-4"><div class="mb-3 px-4"><!></div> <div class="max-h-[60vh] overflow-y-auto px-2"><!> <!> <!></div></div>',1),root_4$4=from_html('<button type="button" style="max-width: min(calc(100cqw - 9rem), 20rem)"><!> <!> <!></button> <!>',1),root_16=from_html('<button style="max-width: min(calc(100cqw - 6.5rem), 32rem)"><!> <!> <!></button>'),root$h=from_html("<div><!></div> <!>",1);function ModelsSelectorSheet($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),currentModel=prop(
+$$props,"currentModel",3,null),disabled=prop($$props,"disabled",3,!1),forceForegroundText=prop($$props,"forceForegroundText",3,!1),useGlobalSelection=prop($$props,"useGlobalSelection",3,!1),sheetOpen=state$1(!1);const ms=useModelsSelector({currentModel:()=>currentModel(),useGlobalSelection:()=>useGlobalSelection(),onModelChange:()=>$$props.onModelChange,onOpenChange:open3=>{set$1(sheetOpen,open3,!0)}});function open2(){ms.handleOpenChange(!0)}function handleSheetOpenChange(open3){open3||ms.handleOpenChange(
+!1)}var $$exports={open:open2},fragment=root$h(),div=first_child(fragment),node2=child(div);{var consequent=$$anchor2=>{var div_1=root_1$7(),node_1=child(div_1);Loader_circle(node_1,{class:"h-3.5 w-3.5 animate-spin"}),next$1(),reset(div_1),append($$anchor2,div_1)},consequent_1=$$anchor2=>{var p2=root_2$b();append($$anchor2,p2)},alternate_3=$$anchor2=>{const selectedOption=user_derived(()=>ms.getDisplayOption());var fragment_1=comment$2(),node_2=first_child(fragment_1);{var consequent_6=$$anchor3=>{
+var fragment_2=root_4$4(),button=first_child(fragment_2),node_3=child(button);Package(node_3,{class:"h-3.5 w-3.5"});var node_4=sibling(node_3,2);{var consequent_2=$$anchor4=>{var span=root_5$4();append($$anchor4,span)},alternate=$$anchor4=>{{let $0=user_derived(()=>get$3(selectedOption)?.model||"");ModelId($$anchor4,{class:"text-xs",get modelId(){return get$3($0)},hideQuantization:!0,hideOrgName:!0})}};if_block(node_4,$$render=>{get$3(selectedOption)?$$render(alternate,-1):$$render(consequent_2)})}
+var node_5=sibling(node_4,2);{var consequent_3=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})},alternate_1=$$anchor4=>{Chevron_down($$anchor4,{class:"h-3 w-3.5"})};if_block(node_5,$$render=>{ms.updating||ms.isLoadingModel?$$render(consequent_3):$$render(alternate_1,-1)})}reset(button);var node_6=sibling(button,2);component(node_6,()=>Root$3,($$anchor4,Sheet_Root)=>{Sheet_Root($$anchor4,{onOpenChange:handleSheetOpenChange,get open(){return get$3(sheetOpen)},set open($$value){
+set$1(sheetOpen,$$value,!0)},children:($$anchor5,$$slotProps)=>{var fragment_6=comment$2(),node_7=first_child(fragment_6);component(node_7,()=>Sheet_content,($$anchor6,Sheet_Content)=>{Sheet_Content($$anchor6,{side:"bottom",class:"max-h-[85vh] gap-1",children:($$anchor7,$$slotProps2)=>{var fragment_7=root_10$1(),node_8=first_child(fragment_7);component(node_8,()=>Sheet_header,($$anchor8,Sheet_Header)=>{Sheet_Header($$anchor8,{children:($$anchor9,$$slotProps3)=>{var fragment_8=root_11$2(),node_9=first_child(
+fragment_8);component(node_9,()=>Sheet_title,($$anchor10,Sheet_Title)=>{Sheet_Title($$anchor10,{children:($$anchor11,$$slotProps4)=>{next$1();var text2=text$8("Select Model");append($$anchor11,text2)},$$slots:{default:!0}})});var node_10=sibling(node_9,2);component(node_10,()=>Sheet_description,($$anchor10,Sheet_Description)=>{Sheet_Description($$anchor10,{class:"sr-only",children:($$anchor11,$$slotProps4)=>{next$1();var text_1=text$8("Choose a model to use for the conversation");append($$anchor11,
+text_1)},$$slots:{default:!0}})}),append($$anchor9,fragment_8)},$$slots:{default:!0}})});var div_2=sibling(node_8,2),div_3=child(div_2),node_11=child(div_3);SearchInput(node_11,{placeholder:"Search models...",get value(){return ms.searchTerm},onInput:v=>ms.setSearchTerm(v)}),reset(div_3);var div_4=sibling(div_3,2),node_12=child(div_4);{var consequent_4=$$anchor8=>{var fragment_9=root_14(),button_1=first_child(fragment_9),span_1=child(button_1),text_2=child(span_1,!0);reset(span_1),next$1(2),reset(
+button_1),next$1(2),template_effect(()=>set_text(text_2,get$3(selectedOption)?.name||currentModel())),append($$anchor8,fragment_9)};if_block(node_12,$$render=>{!ms.isCurrentModelInCache&&currentModel()&&$$render(consequent_4)})}var node_13=sibling(node_12,2);{var consequent_5=$$anchor8=>{var p_1=root_15$1();append($$anchor8,p_1)};if_block(node_13,$$render=>{ms.filteredOptions.length===0&&$$render(consequent_5)})}var node_14=sibling(node_13,2);ModelsSelectorList(node_14,{get groups(){return ms.groupedFilteredOptions},
+get currentModel(){return currentModel()},get activeId(){return ms.activeId},sectionHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none",orgHeaderClass:"px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2",get onSelect(){return ms.handleSelect},get onInfoClick(){return ms.handleInfoClick}}),reset(div_4),reset(div_2),append($$anchor7,fragment_7)},$$slots:{default:!0}})}),append($$anchor5,fragment_6)},$$slots:{default:!0}})}),
+template_effect(()=>{set_class(button,1,clsx(["inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"\
+text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400",get$3(sheetOpen)&&"text-foreground"])),button.disabled=disabled()||ms.updating}),delegated("click",button,()=>ms.handleOpenChange(!0)),append($$anchor3,fragment_2)},alternate_2=$$anchor3=>{var button_2=root_16(),node_15=child(button_2);Package(node_15,{class:"h-3.5 w-3.5"});var node_16=sibling(node_15,2);{let $0=user_derived(()=>get$3(selectedOption)?.model||"");TruncatedText(node_16,{get text(){return get$3($0)},
+class:"font-medium"})}var node_17=sibling(node_16,2);{var consequent_7=$$anchor4=>{Loader_circle($$anchor4,{class:"h-3 w-3.5 animate-spin"})};if_block(node_17,$$render=>{ms.updating&&$$render(consequent_7)})}reset(button_2),template_effect(()=>{set_class(button_2,1,clsx(["inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-o\
+ffset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground",ms.isCurrentModelInCache?(forceForegroundText()||ms.isHighlightedCurrentModelActive,"text-foreground"):"bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400"])),button_2.disabled=disabled()||ms.updating}),delegated("click",button_2,()=>ms.handleOpenChange(!0)),append($$anchor3,button_2)};if_block(node_2,$$render=>{ms.isRouter?$$render(consequent_6):$$render(alternate_2,
+-1)})}append($$anchor2,fragment_1)};if_block(node2,$$render=>{ms.loading&&ms.options.length===0&&ms.isRouter?$$render(consequent):ms.options.length===0&&ms.isRouter?$$render(consequent_1,1):$$render(alternate_3,-1)})}reset(div);var node_18=sibling(div,2);{var consequent_8=$$anchor2=>{DialogModelInformation($$anchor2,{get open(){return ms.showModelDialog},onOpenChange:v=>ms.setShowModelDialog(v),get modelId(){return ms.infoModelId}})};if_block(node_18,$$render=>{ms.showModelDialog&&$$render(consequent_8)})}
+return template_effect(()=>set_class(div,1,clsx(["relative inline-flex flex-col items-end gap-1",className()]))),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_4$3=from_html("<span> </span>"),root_5$3=from_html("<span> </span>"),root_7$3=from_html("<span> </span>"),root_9$3=from_html("<span> </span>"),root_2$a=from_html('<span><span class="min-w-0 truncate font-medium"><!> </span> <!> <!> <!> <!></span>');function ModelId($$anchor,$$props){push$1($$props,!0);let hideOrgName=prop(
+$$props,"hideOrgName",3,!1),showRaw=prop($$props,"showRaw",3,void 0),hideQuantization=prop($$props,"hideQuantization",3,!1),className=prop($$props,"class",3,""),rest=rest_props($$props,["$$slots","$$events","$$legacy","modelId","hideOrgName","showRaw","hideQuantization","aliases","tags","class"]);const badgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono bg-foreground/15 dark:bg-foreground/10 text-\
+foreground [a&]:hover:bg-foreground/25",tagBadgeClass="inline-flex w-fit shrink-0 items-center justify-center whitespace-nowrap rounded-md border border-border/50 px-1 py-0 text-[10px] font-mono text-foreground [a&]:hover:bg-accent [a&]:hover:text-accent-foreground";let parsed=user_derived(()=>ModelsService.parseModelId($$props.modelId)),resolvedShowRaw=user_derived(()=>showRaw()??config$1().showRawModelNames??!1),displayName=user_derived(()=>get$3(parsed).modelName??$$props.modelId),allAliases=user_derived(
+()=>$$props.aliases??[]),allTags=user_derived(()=>[...get$3(parsed).tags??[],...$$props.tags??[]]);var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{TruncatedText($$anchor2,spread_props({get class(){return`font-medium ${className()??""}`},showTooltip:!1,get text(){return $$props.modelId}},()=>rest))},alternate=$$anchor2=>{var span=root_2$a();attribute_effect(span,()=>({class:`flex min-w-0 flex-wrap items-center gap-1 ${className()??""}`,...rest}));var span_1=child(
+span),node_1=child(span_1);{var consequent_1=$$anchor3=>{var text2=text$8();template_effect(()=>set_text(text2,`${get$3(parsed).orgName??""}/`)),append($$anchor3,text2)};if_block(node_1,$$render=>{!hideOrgName()&&get$3(parsed).orgName&&$$render(consequent_1)})}var text_1=sibling(node_1,1,!0);reset(span_1);var node_2=sibling(span_1,2);{var consequent_2=$$anchor3=>{var span_2=root_4$3();set_class(span_2,1,clsx(badgeClass));var text_2=child(span_2);reset(span_2),template_effect(()=>set_text(text_2,
+`${get$3(parsed).params??""}${get$3(parsed).activatedParams?`-${get$3(parsed).activatedParams}`:""}`)),append($$anchor3,span_2)};if_block(node_2,$$render=>{get$3(parsed).params&&$$render(consequent_2)})}var node_3=sibling(node_2,2);{var consequent_3=$$anchor3=>{var span_3=root_5$3();set_class(span_3,1,clsx(badgeClass));var text_3=child(span_3,!0);reset(span_3),template_effect(()=>set_text(text_3,get$3(parsed).quantization)),append($$anchor3,span_3)};if_block(node_3,$$render=>{get$3(parsed).quantization&&
+!hideQuantization()&&$$render(consequent_3)})}var node_4=sibling(node_3,2);{var consequent_4=$$anchor3=>{var fragment_3=comment$2(),node_5=first_child(fragment_3);each(node_5,16,()=>get$3(allAliases),alias=>alias,($$anchor4,alias)=>{var span_4=root_7$3();set_class(span_4,1,clsx(badgeClass));var text_4=child(span_4,!0);reset(span_4),template_effect(()=>set_text(text_4,alias)),append($$anchor4,span_4)}),append($$anchor3,fragment_3)};if_block(node_4,$$render=>{get$3(allAliases).length>0&&$$render(consequent_4)})}
+var node_6=sibling(node_4,2);{var consequent_5=$$anchor3=>{var fragment_4=comment$2(),node_7=first_child(fragment_4);each(node_7,16,()=>get$3(allTags),tag=>tag,($$anchor4,tag)=>{var span_5=root_9$3();set_class(span_5,1,clsx(tagBadgeClass));var text_5=child(span_5,!0);reset(span_5),template_effect(()=>set_text(text_5,tag)),append($$anchor4,span_5)}),append($$anchor3,fragment_4)};if_block(node_6,$$render=>{get$3(allTags).length>0&&$$render(consequent_5)})}reset(span),template_effect(()=>set_text(text_1,
+get$3(displayName))),append($$anchor2,span)};if_block(node2,$$render=>{get$3(resolvedShowRaw)?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root_3$5=from_html("<!> <!>",1),root_8$3=from_html("<!> <!>",1);function ModelBadge($$anchor,$$props){push$1($$props,!0);const badgeContent=$$anchor2=>{BadgeInfo($$anchor2,{get class(){return className()},get onclick(){return $$props.onclick},icon:$$anchor3=>{Package($$anchor3,{class:"h-3 w-3"})},children:($$anchor3,$$slotProps)=>{
+var fragment_2=root_3$5(),node2=first_child(fragment_2);{var consequent=$$anchor4=>{ModelId($$anchor4,{get modelId(){return get$3(model)}})};if_block(node2,$$render=>{get$3(model)&&$$render(consequent)})}var node_1=sibling(node2,2);{var consequent_1=$$anchor4=>{{let $0=user_derived(()=>get$3(model)||"");ActionIconCopyToClipboard($$anchor4,{get text(){return get$3($0)},ariaLabel:"Copy model name"})}};if_block(node_1,$$render=>{showCopyIcon()&&$$render(consequent_1)})}append($$anchor3,fragment_2)},
+$$slots:{icon:!0,default:!0}})};let className=prop($$props,"class",3,""),showCopyIcon=prop($$props,"showCopyIcon",3,!1),showTooltip=prop($$props,"showTooltip",3,!1),model=user_derived(()=>$$props.model||modelsStore.singleModelName),isModelMode=user_derived(()=>serverStore.isModelMode),shouldShow=user_derived(()=>get$3(model)&&($$props.model!==void 0||get$3(isModelMode)));var fragment_5=comment$2(),node_2=first_child(fragment_5);{var consequent_3=$$anchor2=>{var fragment_6=comment$2(),node_3=first_child(
+fragment_6);{var consequent_2=$$anchor3=>{var fragment_7=comment$2(),node_4=first_child(fragment_7);component(node_4,()=>Root$5,($$anchor4,Tooltip_Root)=>{Tooltip_Root($$anchor4,{children:($$anchor5,$$slotProps)=>{var fragment_8=root_8$3(),node_5=first_child(fragment_8);component(node_5,()=>Tooltip_trigger,($$anchor6,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor6,{children:($$anchor7,$$slotProps2)=>{badgeContent($$anchor7)},$$slots:{default:!0}})});var node_6=sibling(node_5,2);component(node_6,()=>Tooltip_content,
+($$anchor6,Tooltip_Content)=>{Tooltip_Content($$anchor6,{children:($$anchor7,$$slotProps2)=>{next$1();var text2=text$8();template_effect(()=>set_text(text2,$$props.onclick?"Click for model details":get$3(model))),append($$anchor7,text2)},$$slots:{default:!0}})}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_7)},alternate=$$anchor3=>{badgeContent($$anchor3)};if_block(node_3,$$render=>{showTooltip()?$$render(consequent_2):$$render(alternate,-1)})}append($$anchor2,
+fragment_6)};if_block(node_2,$$render=>{get$3(shouldShow)&&$$render(consequent_3)})}append($$anchor,fragment_5),pop()}var root_1$6=from_html('<div class="px-2 py-3 text-center text-sm text-muted-foreground"> </div>'),root_2$9=from_html("<!> <!>",1),root$g=from_html('<div class="sticky top-0 z-10 mb-2 bg-popover p-1 pt-2"><!></div> <div class="overflow-y-auto"><!> <!></div> <!>',1);function DropdownMenuSearchable($$anchor,$$props){push$1($$props,!0);let placeholder=prop($$props,"placeholder",3,"S\
+earch..."),searchValue=prop($$props,"searchValue",15,""),emptyMessage=prop($$props,"emptyMessage",3,"No items found"),isEmpty=prop($$props,"isEmpty",3,!1);var fragment=root$g(),div=first_child(fragment),node2=child(div);SearchInput(node2,{get placeholder(){return placeholder()},get onInput(){return $$props.onSearchChange},get onKeyDown(){return $$props.onSearchKeyDown},get value(){return searchValue()},set value($$value){searchValue($$value)}}),reset(div);var div_1=sibling(div,2),node_1=child(div_1);
+snippet(node_1,()=>$$props.children);var node_2=sibling(node_1,2);{var consequent=$$anchor2=>{var div_2=root_1$6(),text2=child(div_2,!0);reset(div_2),template_effect(()=>set_text(text2,emptyMessage())),append($$anchor2,div_2)};if_block(node_2,$$render=>{isEmpty()&&$$render(consequent)})}reset(div_1);var node_3=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment_1=root_2$9(),node_4=first_child(fragment_1);component(node_4,()=>Dropdown_menu_separator,($$anchor3,DropdownMenu_Separator)=>{DropdownMenu_Separator(
+$$anchor3,{})});var node_5=sibling(node_4,2);snippet(node_5,()=>$$props.footer),append($$anchor2,fragment_1)};if_block(node_3,$$render=>{$$props.footer&&$$render(consequent_1)})}append($$anchor,fragment),pop()}const iconComponent=($$anchor,IconComponent=noop$3,className=noop$3)=>{var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{get class(){return className()}})}),append($$anchor,fragment)};var root_6$4=from_html(
+'<!> <span class="sr-only"> </span>',1),root_7$2=from_html("<p> </p>"),root_5$2=from_html("<!> <!>",1),root_12=from_html('<div class="flex items-center gap-2"><!> </div> <!>',1),root_10=from_html("<!> <!>",1),root_2$8=from_html("<!> <!>",1);function DropdownMenuActions($$anchor,$$props){push$1($$props,!0);let triggerClass=prop($$props,"triggerClass",3,""),align=prop($$props,"align",3,"end"),open2=prop($$props,"open",15,!1);var fragment_1=comment$2(),node_1=first_child(fragment_1);component(node_1,
+()=>Root$4,($$anchor2,DropdownMenu_Root)=>{DropdownMenu_Root($$anchor2,{get open(){return open2()},set open($$value){open2($$value)},children:($$anchor3,$$slotProps)=>{var fragment_2=root_2$8(),node_2=first_child(fragment_2);component(node_2,()=>Dropdown_menu_trigger,($$anchor4,DropdownMenu_Trigger)=>{DropdownMenu_Trigger($$anchor4,{get class(){return`flex h-6 w-6 cursor-pointer items-center justify-center rounded-md p-0 text-sm font-medium transition-colors hover:bg-accent hover:text-accent-for\
+eground focus:bg-accent focus:text-accent-foreground focus:outline-none disabled:pointer-events-none disabled:opacity-50 data-[state=open]:bg-accent data-[state=open]:text-accent-foreground ${triggerClass()??""}`},onclick:e=>e.stopPropagation(),children:($$anchor5,$$slotProps2)=>{var fragment_3=comment$2(),node_3=first_child(fragment_3);{var consequent=$$anchor6=>{var fragment_4=comment$2(),node_4=first_child(fragment_4);component(node_4,()=>Root$5,($$anchor7,Tooltip_Root)=>{Tooltip_Root($$anchor7,
+{children:($$anchor8,$$slotProps3)=>{var fragment_5=root_5$2(),node_5=first_child(fragment_5);component(node_5,()=>Tooltip_trigger,($$anchor9,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor9,{children:($$anchor10,$$slotProps4)=>{var fragment_6=root_6$4(),node_6=first_child(fragment_6);iconComponent(node_6,()=>$$props.triggerIcon,()=>"h-3 w-3");var span=sibling(node_6,2),text2=child(span,!0);reset(span),template_effect(()=>set_text(text2,$$props.triggerTooltip)),append($$anchor10,fragment_6)},$$slots:{
+default:!0}})});var node_7=sibling(node_5,2);component(node_7,()=>Tooltip_content,($$anchor9,Tooltip_Content)=>{Tooltip_Content($$anchor9,{children:($$anchor10,$$slotProps4)=>{var p2=root_7$2(),text_1=child(p2,!0);reset(p2),template_effect(()=>set_text(text_1,$$props.triggerTooltip)),append($$anchor10,p2)},$$slots:{default:!0}})}),append($$anchor8,fragment_5)},$$slots:{default:!0}})}),append($$anchor6,fragment_4)},alternate=$$anchor6=>{iconComponent($$anchor6,()=>$$props.triggerIcon,()=>"h-3 w-3")};
+if_block(node_3,$$render=>{$$props.triggerTooltip?$$render(consequent):$$render(alternate,-1)})}append($$anchor5,fragment_3)},$$slots:{default:!0}})});var node_8=sibling(node_2,2);component(node_8,()=>Dropdown_menu_content,($$anchor4,DropdownMenu_Content)=>{DropdownMenu_Content($$anchor4,{get align(){return align()},class:"z-[999999] w-48",children:($$anchor5,$$slotProps2)=>{var fragment_8=comment$2(),node_9=first_child(fragment_8);each(node_9,19,()=>$$props.actions,action2=>action2.label,($$anchor6,action2,index2)=>{
+var fragment_9=root_10(),node_10=first_child(fragment_9);{var consequent_1=$$anchor7=>{var fragment_10=comment$2(),node_11=first_child(fragment_10);component(node_11,()=>Dropdown_menu_separator,($$anchor8,DropdownMenu_Separator)=>{DropdownMenu_Separator($$anchor8,{})}),append($$anchor7,fragment_10)};if_block(node_10,$$render=>{get$3(action2).separator&&get$3(index2)>0&&$$render(consequent_1)})}var node_12=sibling(node_10,2);component(node_12,()=>Dropdown_menu_item,($$anchor7,DropdownMenu_Item)=>{
+DropdownMenu_Item($$anchor7,{get onclick(){return get$3(action2).onclick},get variant(){return get$3(action2).variant},get disabled(){return get$3(action2).disabled},class:"flex items-center justify-between hover:[&>kbd]:opacity-100",children:($$anchor8,$$slotProps3)=>{var fragment_11=root_12(),div=first_child(fragment_11),node_13=child(div);iconComponent(node_13,()=>get$3(action2).icon,()=>`h-4 w-4 ${get$3(action2).variant==="destructive"?"text-destructive":""}`);var text_2=sibling(node_13);reset(
+div);var node_14=sibling(div,2);{var consequent_2=$$anchor9=>{KeyboardShortcutInfo($$anchor9,{get keys(){return get$3(action2).shortcut},get variant(){return get$3(action2).variant}})};if_block(node_14,$$render=>{get$3(action2).shortcut&&$$render(consequent_2)})}template_effect(()=>set_text(text_2,` ${get$3(action2).label??""}`)),append($$anchor8,fragment_11)},$$slots:{default:!0}})}),append($$anchor6,fragment_9)}),append($$anchor5,fragment_8)},$$slots:{default:!0}})}),append($$anchor3,fragment_2)},
+$$slots:{default:!0}})}),append($$anchor,fragment_1),pop()}function circIn(t){return 1-Math.sqrt(1-t*t)}var root_2$7=from_html("<div><!></div>"),root$f=from_html('<div></div> <aside><div class="mt-12 flex flex-col items-center gap-1"></div></aside>',1);function DesktopIconStrip($$anchor,$$props){push$1($$props,!0);let sidebarOpen=prop($$props,"sidebarOpen",3,!1);const{handleKeydown}=useKeyboardShortcuts({activateSearchMode:()=>$$props.onSearchClick()});let initialized=state$1(!1),showIcons=user_derived(
+()=>!sidebarOpen());set$1(showIcons,!1),onMount$1(()=>{set$1(showIcons,!sidebarOpen()),setTimeout(()=>{set$1(initialized,!0)},ICON_STRIP_TRANSITION_DELAY_MULTIPLIER*SIDEBAR_ACTIONS_ITEMS.length)});var fragment=root$f();event("keydown",$window,handleKeydown);var div=first_child(fragment),aside=sibling(div,2),div_1=child(aside);each(div_1,23,()=>SIDEBAR_ACTIONS_ITEMS,item=>item.tooltip,($$anchor2,item,i)=>{const onclick=user_derived(()=>get$3(item).route?()=>goto(get$3(item).route):$$props.onSearchClick),
+isActive=user_derived(()=>get$3(item).activeRouteId?page$1.route.id===get$3(item).activeRouteId:get$3(item).activeRoutePrefix?!!page$1.route.id?.startsWith(get$3(item).activeRoutePrefix):!1);var fragment_1=comment$2(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{var div_2=root_2$7(),node_1=child(div_2);{let $0=user_derived(()=>get$3(isActive)?"bg-accent text-accent-foreground":"");ActionIcon(node_1,{get icon(){return get$3(item).icon},get tooltip(){return get$3(item).tooltip},get tooltipSide(){
+return TooltipSide.RIGHT},size:"lg",iconSize:"h-4 w-4",get class(){return`h-9 w-9 rounded-full hover:bg-accent! ${get$3($0)??""}`},get onclick(){return get$3(onclick)}})}reset(div_2),transition(1,div_2,()=>fade,()=>({duration:ICON_STRIP_TRANSITION_DURATION,delay:get$3(initialized)?0:ICON_STRIP_TRANSITION_DELAY_MULTIPLIER+get$3(i)*ICON_STRIP_TRANSITION_DELAY_MULTIPLIER,easing:circIn})),append($$anchor3,div_2)};if_block(node2,$$render=>{get$3(showIcons)&&$$render(consequent)})}append($$anchor2,fragment_1)}),
+reset(div_1),reset(aside),template_effect(()=>{set_class(div,1,`hidden shrink-0 transition-[width] duration-200 ease-linear md:block ${sidebarOpen()?"w-0":"w-[calc(var(--sidebar-width-icon)+1.5rem)]"}`),set_class(aside,1,`fixed top-0 bottom-0 left-0 z-10 hidden w-[calc(var(--sidebar-width-icon)+1.5rem)] flex-col items-center justify-between py-3 transition-opacity duration-200 ease-linear md:flex ${sidebarOpen()?"pointer-events-none opacity-0":"opacity-100"}`)}),append($$anchor,fragment),pop()}const itemIcon=($$anchor,IconComponent=noop$3)=>{
+var fragment=comment$2(),node2=first_child(fragment);component(node2,IconComponent,($$anchor2,IconComponent_1)=>{IconComponent_1($$anchor2,{class:"h-4 w-4"})}),append($$anchor,fragment)};var root_6$3=from_html('<div class="flex items-center gap-2"><!> </div> <!>',1),root_9$2=from_html('<div class="flex items-center gap-2"><!> </div> <!>',1),root$e=from_html('<div class="my-1 space-y-1"><!></div>');function SidebarNavigationActions($$anchor,$$props){push$1($$props,!0);let isSearchModeActive=prop(
+$$props,"isSearchModeActive",15),searchQuery=prop($$props,"searchQuery",15),isCancelAlwaysVisible=prop($$props,"isCancelAlwaysVisible",3,!1),searchInputRef=state$1(null);function handleSearchModeDeactivate(){isSearchModeActive(!1),searchQuery(""),$$props.onSearchDeactivated?.()}function activateSearch(){isSearchModeActive(!0),queueMicrotask(()=>get$3(searchInputRef)?.focus())}var $$exports={activateSearch},div=root$e(),node_1=child(div);{var consequent=$$anchor2=>{SearchInput($$anchor2,{onClose:handleSearchModeDeactivate,
+onKeyDown:e=>e.key==="Escape"&&handleSearchModeDeactivate(),placeholder:"Search conversations...",get isCancelAlwaysVisible(){return isCancelAlwaysVisible()},get value(){return searchQuery()},set value($$value){searchQuery($$value)},get ref(){return get$3(searchInputRef)},set ref($$value){set$1(searchInputRef,$$value,!0)}})},alternate_1=$$anchor2=>{var fragment_2=comment$2(),node_2=first_child(fragment_2);each(node_2,17,()=>SIDEBAR_ACTIONS_ITEMS,item=>item.route,($$anchor3,item)=>{var fragment_3=comment$2(),
+node_3=first_child(fragment_3);{var consequent_2=$$anchor4=>{Button($$anchor4,{class:"w-full justify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100",onclick:activateSearch,variant:"ghost",children:($$anchor5,$$slotProps)=>{var fragment_5=root_6$3(),div_1=first_child(fragment_5),node_4=child(div_1);itemIcon(node_4,()=>get$3(item).icon);var text2=sibling(node_4);reset(div_1);var node_5=sibling(div_1,2);{var consequent_1=$$anchor6=>{KeyboardShortcutInfo($$anchor6,{get keys(){return get$3(
+item).keys}})};if_block(node_5,$$render=>{get$3(item).keys&&$$render(consequent_1)})}template_effect(()=>set_text(text2,` ${get$3(item).tooltip??""}`)),append($$anchor5,fragment_5)},$$slots:{default:!0}})},alternate=$$anchor4=>{{let $0=user_derived(()=>get$3(item).activeRouteId&&page$1.route.id===get$3(item).activeRouteId||get$3(item).activeRoutePrefix&&page$1.route.id?.startsWith(get$3(item).activeRoutePrefix)?"bg-accent text-accent-foreground":"");Button($$anchor4,{get class(){return`w-full ju\
+stify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100 ${get$3($0)??""}`},get href(){return get$3(item).route},get onclick(){return $$props.handleMobileSidebarItemClick},variant:"ghost",children:($$anchor5,$$slotProps)=>{var fragment_8=root_9$2(),div_2=first_child(fragment_8),node_6=child(div_2);itemIcon(node_6,()=>get$3(item).icon);var text_1=sibling(node_6);reset(div_2);var node_7=sibling(div_2,2);{var consequent_3=$$anchor6=>{KeyboardShortcutInfo($$anchor6,{get keys(){return get$3(item).
+keys}})};if_block(node_7,$$render=>{get$3(item).keys&&$$render(consequent_3)})}template_effect(()=>set_text(text_1,` ${get$3(item).tooltip??""}`)),append($$anchor5,fragment_8)},$$slots:{default:!0}})}};if_block(node_3,$$render=>{get$3(item).route?$$render(alternate,-1):$$render(consequent_2)})}append($$anchor3,fragment_3)}),append($$anchor2,fragment_2)};if_block(node_1,$$render=>{isSearchModeActive()?$$render(consequent):$$render(alternate_1,-1)})}return reset(div),append($$anchor,div),pop($$exports)}
+var root_3$4=from_html('<a class="flex shrink-0 items-center text-muted-foreground transition-colors hover:text-foreground"><!></a>'),root_4$2=from_html("<p>See parent conversation</p>"),root_2$6=from_html("<!> <!>",1),root_7$1=from_html('<div class="stop-button flex h-4 w-4 shrink-0 cursor-pointer items-center justify-center rounded text-muted-foreground transition-colors hover:text-foreground svelte-19ekn76" role="button" tabindex="0" aria-label="Stop generation"><!> <!></div>'),root_8$2=from_html(
+"<p>Stop generation</p>"),root_6$2=from_html("<!> <!>",1),root_9$1=from_html('<div class="actions flex items-center"><!></div>'),root$d=from_html('<button><div class="flex min-w-0 flex-1 items-center gap-2"><!> <!> <span class="truncate text-sm font-medium"> </span></div> <!></button>');function SidebarNavigationConversationItem($$anchor,$$props){push$1($$props,!0);let isActive=prop($$props,"isActive",3,!1),depth=prop($$props,"depth",3,0),renderActionsDropdown=state$1(!1),dropdownOpen=state$1(!1),
+isLoading2=user_derived(()=>getAllLoadingChats().includes($$props.conversation.id));function handleEdit(event2){event2.stopPropagation(),$$props.onEdit?.($$props.conversation.id)}function handleDelete2(event2){event2.stopPropagation(),$$props.onDelete?.($$props.conversation.id)}function handleStop(event2){event2.stopPropagation(),$$props.onStop?.($$props.conversation.id)}function handleGlobalEditEvent(event2){event2.detail.conversationId===$$props.conversation.id&&isActive()&&handleEdit(event2)}
+function handleMouseLeave(){get$3(dropdownOpen)||set$1(renderActionsDropdown,!1)}function handleMouseOver(){set$1(renderActionsDropdown,!0)}function handleSelect(){$$props.onSelect?.($$props.conversation.id)}user_effect(()=>{get$3(dropdownOpen)||set$1(renderActionsDropdown,!1)}),onMount$1(()=>(document.addEventListener("edit-active-conversation",handleGlobalEditEvent),()=>{document.removeEventListener("edit-active-conversation",handleGlobalEditEvent)}));var button=root$d(),div=child(button);let styles2;
+var node2=child(div);{var consequent=$$anchor2=>{var fragment=comment$2(),node_1=first_child(fragment);component(node_1,()=>Root$5,($$anchor3,Tooltip_Root)=>{Tooltip_Root($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_1=root_2$6(),node_2=first_child(fragment_1);component(node_2,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger)=>{Tooltip_Trigger($$anchor5,{children:($$anchor6,$$slotProps2)=>{var a=root_3$4(),node_3=child(a);Git_branch(node_3,{class:"h-3.5 w-3.5"}),reset(a),template_effect(
+()=>set_attribute(a,"href",`#/chat/${$$props.conversation.forkedFromConversationId??""}`)),append($$anchor6,a)},$$slots:{default:!0}})});var node_4=sibling(node_2,2);component(node_4,()=>Tooltip_content,($$anchor5,Tooltip_Content)=>{Tooltip_Content($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p2=root_4$2();append($$anchor6,p2)},$$slots:{default:!0}})}),append($$anchor4,fragment_1)},$$slots:{default:!0}})}),append($$anchor2,fragment)};if_block(node2,$$render=>{depth()>0&&$$render(consequent)})}
+var node_5=sibling(node2,2);{var consequent_1=$$anchor2=>{var fragment_2=comment$2(),node_6=first_child(fragment_2);component(node_6,()=>Root$5,($$anchor3,Tooltip_Root_1)=>{Tooltip_Root_1($$anchor3,{children:($$anchor4,$$slotProps)=>{var fragment_3=root_6$2(),node_7=first_child(fragment_3);component(node_7,()=>Tooltip_trigger,($$anchor5,Tooltip_Trigger_1)=>{Tooltip_Trigger_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var div_1=root_7$1(),node_8=child(div_1);Loader_circle(node_8,{class:"loadi\
+ng-icon h-3.5 w-3.5 animate-spin"});var node_9=sibling(node_8,2);Square(node_9,{class:"stop-icon hidden h-3 w-3 fill-current text-destructive"}),reset(div_1),delegated("click",div_1,handleStop),delegated("keydown",div_1,e=>e.key==="Enter"&&handleStop(e)),append($$anchor6,div_1)},$$slots:{default:!0}})});var node_10=sibling(node_7,2);component(node_10,()=>Tooltip_content,($$anchor5,Tooltip_Content_1)=>{Tooltip_Content_1($$anchor5,{children:($$anchor6,$$slotProps2)=>{var p_1=root_8$2();append($$anchor6,
+p_1)},$$slots:{default:!0}})}),append($$anchor4,fragment_3)},$$slots:{default:!0}})}),append($$anchor2,fragment_2)};if_block(node_5,$$render=>{get$3(isLoading2)&&$$render(consequent_1)})}var span=sibling(node_5,2),text2=child(span,!0);reset(span),reset(div);var node_11=sibling(div,2);{var consequent_2=$$anchor2=>{var div_2=root_9$1(),node_12=child(div_2);{let $0=user_derived(()=>[{icon:Pencil,label:"Edit",onclick:handleEdit,shortcut:["shift","cmd","e"]},{icon:Download,label:"Export",onclick:e=>{
+e.stopPropagation(),conversationsStore.downloadConversation($$props.conversation.id)},shortcut:["shift","cmd","s"]},{icon:Trash_2,label:"Delete",onclick:handleDelete2,variant:"destructive",shortcut:["shift","cmd","d"],separator:!0}]);DropdownMenuActions(node_12,{get triggerIcon(){return Ellipsis},triggerTooltip:"More actions",get actions(){return get$3($0)},get open(){return get$3(dropdownOpen)},set open($$value){set$1(dropdownOpen,$$value,!0)}})}reset(div_2),append($$anchor2,div_2)};if_block(node_11,
+$$render=>{get$3(renderActionsDropdown)&&$$render(consequent_2)})}reset(button),template_effect(()=>{set_class(button,1,`group flex min-h-9 w-full cursor-pointer items-center justify-between space-x-3 rounded-lg py-1.5 text-left transition-colors hover:bg-foreground/10 ${isActive()?"bg-foreground/5 text-accent-foreground":""} px-3`,"svelte-19ekn76"),styles2=set_style(div,"",styles2,{"padding-left":`${depth()*FORK_TREE_DEPTH_PADDING}px`}),set_text(text2,$$props.conversation.name)}),delegated("cli\
+ck",button,handleSelect),delegated("mouseover",button,handleMouseOver),event("mouseleave",button,handleMouseLeave),append($$anchor,button),pop()}delegate(["click","mouseover","keydown"]);const SIDEBAR_COOKIE_NAME="sidebar:state",SIDEBAR_COOKIE_MAX_AGE=3600*24*7,SIDEBAR_MIN_WIDTH="18rem",SIDEBAR_MAX_WIDTH="32rem",SIDEBAR_WIDTH_ICON="3rem",SIDEBAR_KEYBOARD_SHORTCUT="b";class SidebarState{props;#open=user_derived(()=>this.props.open());get open(){return get$3(this.#open)}set open(value){set$1(this.#open,
+value)}#openMobile=state$1(!1);get openMobile(){return get$3(this.#openMobile)}set openMobile(value){set$1(this.#openMobile,value,!0)}#sidebarWidth=state$1(proxy(SIDEBAR_MIN_WIDTH));get sidebarWidth(){return get$3(this.#sidebarWidth)}set sidebarWidth(value){set$1(this.#sidebarWidth,value,!0)}#isResizing=state$1(!1);get isResizing(){return get$3(this.#isResizing)}set isResizing(value){set$1(this.#isResizing,value,!0)}setOpen;#isMobile;#state=user_derived(()=>this.open?"expanded":"collapsed");get state(){
+return get$3(this.#state)}set state(value){set$1(this.#state,value)}constructor(props){this.setOpen=props.setOpen,this.#isMobile=new IsMobile,this.props=props}get isMobile(){return this.#isMobile.current}handleShortcutKeydown=e=>{e.key===SIDEBAR_KEYBOARD_SHORTCUT&&(e.metaKey||e.ctrlKey)&&(e.preventDefault(),this.toggle())};setOpenMobile=value=>{this.openMobile=value};toggle=()=>{this.setOpen(!this.open)}}const SYMBOL_KEY="scn-sidebar";function setSidebar(props){return setContext(Symbol.for(SYMBOL_KEY),
+new SidebarState(props))}function useSidebar(){return getContext(Symbol.for(SYMBOL_KEY))}var root$c=from_html("<div><!></div>");function Sidebar_group_content($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$c();attribute_effect(div,$0=>({"data-slot":"sidebar-group-content","data-sidebar":"group-content",class:$0,...restProps}),[()=>cn$1("w-full text-sm",$$props.class)]);
+var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_2$5=from_html("<div><!></div>");function Sidebar_group_label($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","children","child","class"]);const mergedProps=user_derived(()=>({class:cn$1("text-sidebar-foreground/70 ring-sidebar-ring outline-hidde\
+n flex h-8 shrink-0 items-center rounded-md px-2 text-xs font-medium transition-[margin,opacity] duration-200 ease-linear focus-visible:ring-2 [&>svg]:size-4 [&>svg]:shrink-0","group-data-[collapsible=icon]:-mt-8 group-data-[collapsible=icon]:opacity-0",$$props.class),"data-slot":"sidebar-group-label","data-sidebar":"group-label",...restProps}));var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var fragment_1=comment$2(),node_1=first_child(fragment_1);snippet(node_1,
+()=>$$props.child,()=>({props:get$3(mergedProps)})),append($$anchor2,fragment_1)},alternate=$$anchor2=>{var div=root_2$5();attribute_effect(div,()=>({...get$3(mergedProps)}));var node_2=child(div);snippet(node_2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)};if_block(node2,$$render=>{$$props.child?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop()}var root$b=from_html("<div><!></div>");function Sidebar_group($$anchor,$$props){
+push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$b();attribute_effect(div,$0=>({"data-slot":"sidebar-group","data-sidebar":"group",class:$0,...restProps}),[()=>cn$1("relative flex w-full min-w-0 flex-col p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root$a=from_html(
+"<div><!></div>");function Sidebar_header($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var div=root$a();attribute_effect(div,$0=>({"data-slot":"sidebar-header","data-sidebar":"header",class:$0,...restProps}),[()=>cn$1("flex flex-col gap-2 p-2",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),
+append($$anchor,div),pop()}var root$9=from_html("<main><!></main>");function Sidebar_inset($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var main2=root$9();attribute_effect(main2,$0=>({"data-slot":"sidebar-inset",class:$0,...restProps}),[()=>cn$1("relative flex w-full flex-1 flex-col","md:peer-data-[variant=inset]:m-2 md:peer-data-[variant=inset]:ml-0 md:peer-data-[variant=inset]:\
+rounded-xl md:peer-data-[variant=inset]:shadow-sm md:peer-data-[variant=inset]:peer-data-[state=collapsed]:ml-2",$$props.class)]);var node2=child(main2);snippet(node2,()=>$$props.children??noop$3),reset(main2),bind_this(main2,$$value=>ref2($$value),()=>ref2()),append($$anchor,main2),pop()}tv({base:"peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=me\
+nu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accent data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md py-2 px-1 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-event\
+s-none aria-disabled:opacity-50 data-[active=true]:font-medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0",variants:{variant:{default:"hover:bg-sidebar-accent hover:text-sidebar-accent-foreground",outline:"bg-background hover:bg-sidebar-accent hover:text-sidebar-accent-foreground shadow-[0_0_0_1px_var(--sidebar-border)] hover:shadow-[0_0_0_1px_var(--sidebar-accent)]"},size:{default:"h-8 text-sm",sm:"h-7 text-xs",lg:"group-data-[collapsible=icon]:p-0! h-12 text-sm"}},defaultVariants:{
+variant:"default",size:"default"}});var root$8=from_html("<li><!></li>");function Sidebar_menu_item($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var li2=root$8();attribute_effect(li2,$0=>({"data-slot":"sidebar-menu-item","data-sidebar":"menu-item",class:$0,...restProps}),[()=>cn$1("group/menu-item relative",$$props.class)]);var node2=child(li2);snippet(node2,()=>$$props.children??
+noop$3),reset(li2),bind_this(li2,$$value=>ref2($$value),()=>ref2()),append($$anchor,li2),pop()}var root$7=from_html("<ul><!></ul>");function Sidebar_menu($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","class","children"]);var ul=root$7();attribute_effect(ul,$0=>({"data-slot":"sidebar-menu","data-sidebar":"menu",class:$0,...restProps}),[()=>cn$1("flex w-full min-w-0 flex-col gap-1",$$props.class)]);var node2=child(
+ul);snippet(node2,()=>$$props.children??noop$3),reset(ul),bind_this(ul,$$value=>ref2($$value),()=>ref2()),append($$anchor,ul),pop()}var root$6=from_html("<div><!></div>");function Sidebar_provider($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),open2=prop($$props,"open",15,!0),onOpenChange=prop($$props,"onOpenChange",3,()=>{}),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","open","onOpenChange","class","style","children"]);const sidebar=setSidebar({
+open:()=>open2(),setOpen:value=>{open2(value),onOpenChange()(value),document.cookie=`${SIDEBAR_COOKIE_NAME}=${open2()}; path=/; max-age=${SIDEBAR_COOKIE_MAX_AGE}`}});var div=root$6();event("keydown",$window,function(...$$args){sidebar.handleShortcutKeydown?.apply(this,$$args)}),attribute_effect(div,$0=>({"data-slot":"sidebar-wrapper",style:`--sidebar-width: ${sidebar.sidebarWidth??""}; --sidebar-min-width: ${SIDEBAR_MIN_WIDTH}; --sidebar-max-width: ${SIDEBAR_MAX_WIDTH}; --sidebar-width-icon: ${SIDEBAR_WIDTH_ICON}\
+; ${$$props.style??""}`,class:$0,...restProps}),[()=>cn$1("group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar",$$props.class)]);var node2=child(div);snippet(node2,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor,div),pop()}var root_1$5=from_html('<!> <span class="sr-only">Toggle Sidebar</span>',1);function Sidebar_trigger($$anchor,$$props){push$1($$props,!0),prop($$props,"ref",11,null);let restProps=rest_props(
+$$props,["$$slots","$$events","$$legacy","ref","class","onclick"]);const sidebar=useSidebar();{let $0=user_derived(()=>$$props.class),$1=user_derived(()=>sidebar.open?"top-1.5":"top-0"),$2=user_derived(()=>sidebar.isResizing?"!duration-0":"");Button($$anchor,spread_props({"data-sidebar":"trigger","data-slot":"sidebar-trigger",variant:"ghost",size:"icon-lg",get class(){return`rounded-full backdrop-blur-lg ${get$3($0)??""} ${get$3($1)??""} md:left-[calc(var(--sidebar-width)-3.25rem)] ${get$3($2)??
+""}`},type:"button",onclick:e=>{$$props.onclick?.(e),sidebar.toggle()}},()=>restProps,{children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$5(),node2=first_child(fragment_1);{var consequent=$$anchor3=>{Panel_left_close($$anchor3,{})},alternate=$$anchor3=>{Panel_left($$anchor3,{})};if_block(node2,$$render=>{sidebar.open?$$render(consequent):$$render(alternate,-1)})}next$1(2),append($$anchor2,fragment_1)},$$slots:{default:!0}}))}pop()}var root_1$4=from_html("<div><!></div>"),root_3$3=from_html(
+'<div data-slot="sidebar-resize-handle"></div>'),root_4$1=from_html('<div data-slot="sidebar-resize-handle"></div>'),root_2$4=from_html('<div class="group peer block text-sidebar-foreground" data-slot="sidebar"><div data-slot="sidebar-gap"></div> <div><div data-sidebar="sidebar" data-slot="sidebar-inner" class="flex h-full w-full flex-col bg-sidebar"><!></div> <!></div></div>');function Sidebar($$anchor,$$props){push$1($$props,!0);let ref2=prop($$props,"ref",15,null),side=prop($$props,"side",3,"\
+left"),variant=prop($$props,"variant",3,"sidebar"),collapsible=prop($$props,"collapsible",3,"offcanvas"),restProps=rest_props($$props,["$$slots","$$events","$$legacy","ref","side","variant","collapsible","class","children"]);const sidebar=useSidebar();function handleResizePointerDown(e){if(sidebar.isMobile)return;e.preventDefault();const target2=e.currentTarget;target2.setPointerCapture(e.pointerId);const minPx=remToPx(SIDEBAR_MIN_WIDTH),maxPx=remToPx(SIDEBAR_MAX_WIDTH);sidebar.isResizing=!0;function onPointerMove(ev){
+const newWidth=side()==="left"?ev.clientX:window.innerWidth-ev.clientX,clamped=Math.min(maxPx,Math.max(minPx,newWidth));sidebar.sidebarWidth=`${clamped}px`}function onPointerUp(){sidebar.isResizing=!1,target2.removeEventListener("pointermove",onPointerMove),target2.removeEventListener("pointerup",onPointerUp)}target2.addEventListener("pointermove",onPointerMove),target2.addEventListener("pointerup",onPointerUp)}var fragment=comment$2(),node2=first_child(fragment);{var consequent=$$anchor2=>{var div=root_1$4();
+attribute_effect(div,$0=>({class:$0,...restProps}),[()=>cn$1("flex h-full w-(--sidebar-width) flex-col bg-sidebar text-sidebar-foreground",$$props.class)]);var node_1=child(div);snippet(node_1,()=>$$props.children??noop$3),reset(div),bind_this(div,$$value=>ref2($$value),()=>ref2()),append($$anchor2,div)},alternate_1=$$anchor2=>{var div_1=root_2$4(),div_2=child(div_1),div_3=sibling(div_2,2);attribute_effect(div_3,$0=>({"data-slot":"sidebar-container",class:$0,style:variant()==="floating"?"height:\
+ calc(100dvh - 1.5rem);":void 0,...restProps}),[()=>cn$1("fixed inset-y-0 z-[900] flex w-[calc(100dvw-1.5rem)] duration-200 ease-linear md:z-0 md:w-(--sidebar-width)","group-data-[collapsible=offcanvas]:pointer-events-none md:group-data-[collapsible=offcanvas]:pointer-events-auto",sidebar.isResizing&&"!duration-0",variant()==="floating"?["transition-[left,right,width,opacity]",side()==="left"?"left-3 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsi\
+ble=offcanvas]:opacity-0":"right-3 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:opacity-0","my-3 overflow-hidden rounded-3xl border border-sidebar-border shadow-md"]:["h-svh transition-[left,right,width]",side()==="left"?"left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-1)]":"right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]"],variant()==="inset"?"p-2 group-data-[collapsibl\
+e=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]":variant()==="floating"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)",$$props.class)]);var div_4=child(div_3),node_2=child(div_4);snippet(node_2,()=>$$props.children??noop$3),reset(div_4);var node_3=sibling(div_4,2);{var consequent_1=$$anchor3=>{var div_5=root_3$3();let classes;template_effect(()=>classes=set_class(div_5,1,"absolute inse\
+t-y-0 right-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:block",null,classes,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_5,handleResizePointerDown),append($$anchor3,div_5)},alternate=$$anchor3=>{var div_6=root_4$1();let classes_1;template_effect(()=>classes_1=set_class(div_6,1,"absolute inset-y-0 left-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sid\
+ebar-border md:block",null,classes_1,{"bg-sidebar-border":sidebar.isResizing})),delegated("pointerdown",div_6,handleResizePointerDown),append($$anchor3,div_6)};if_block(node_3,$$render=>{side()==="left"?$$render(consequent_1):$$render(alternate,-1)})}reset(div_3),reset(div_1),bind_this(div_1,$$value=>ref2($$value),()=>ref2()),template_effect($0=>{set_attribute(div_1,"data-state",sidebar.state),set_attribute(div_1,"data-collapsible",sidebar.state==="collapsed"?collapsible():""),set_attribute(div_1,
+"data-variant",variant()),set_attribute(div_1,"data-side",side()),set_class(div_2,1,$0)},[()=>clsx(cn$1("relative bg-transparent transition-[width] duration-200 ease-linear",sidebar.isResizing&&"!duration-0","w-0",variant()==="floating"?"md:w-[calc(var(--sidebar-width)+0.75rem)]":"md:w-(--sidebar-width)","md:group-data-[collapsible=offcanvas]:w-0","group-data-[side=right]:rotate-180",variant()==="floating"||variant()==="inset"?"group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--s\
+pacing(4))+2px)]":"group-data-[collapsible=icon]:w-(--sidebar-width-icon)"))]),append($$anchor2,div_1)};if_block(node2,$$render=>{collapsible()==="none"?$$render(consequent):$$render(alternate_1,-1)})}append($$anchor,fragment),pop()}delegate(["pointerdown"]);var root_3$2=from_html('<!> <span class="sr-only">Close sidebar</span>',1),root_2$3=from_html('<div class="flex items-center justify-between"><a href="#/"><h1 class="inline-flex items-center gap-1 px-2 text-xl font-semibold"> </h1></a> <!></\
+div> <!>',1),root_11$1=from_html('<div class="px-2 py-4 text-center"><p class="mb-4 p-4 text-sm text-muted-foreground"> </p></div>'),root_8$1=from_html("<!> <!>",1),root_4=from_html("<!> <!>",1),root_1$3=from_html("<!> <!>",1),root_13=from_html('<div class="flex items-center gap-2 py-2"><!> <!></div>'),root$5=from_html('<div class="flex h-full flex-col"><!></div> <!> <!>',1);function SidebarNavigation($$anchor,$$props){push$1($$props,!0);const sidebar=useSidebar();let currentChatId=user_derived(
+()=>page$1.params.id),isSearchModeActive=state$1(!1),searchQuery=state$1(""),showDeleteDialog=state$1(!1),deleteWithForks=state$1(!1),showEditDialog=state$1(!1),selectedConversation=state$1(null),editedName=state$1(""),selectedConversationNamePreview=user_derived(()=>get$3(selectedConversation)?getPreviewText(get$3(selectedConversation).name):""),filteredConversations=user_derived(()=>get$3(isSearchModeActive)?get$3(searchQuery).trim().length>0?conversations().filter(conversation=>conversation.name.
+toLowerCase().includes(get$3(searchQuery).toLowerCase())):[]:conversations()),conversationTree=user_derived(()=>buildConversationTree(get$3(filteredConversations))),selectedConversationHasDescendants=user_derived(()=>{if(!get$3(selectedConversation))return!1;const allConvs=conversations(),queue=[get$3(selectedConversation).id];for(;queue.length>0;){const parentId=queue.pop();for(const c2 of allConvs)if(c2.forkedFromConversationId===parentId)return!0}return!1});async function handleDeleteConversation(id2){
+const conversation=conversations().find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(deleteWithForks,!1),set$1(showDeleteDialog,!0))}async function handleEditConversation(id2){const conversation=conversations().find(conv=>conv.id===id2);conversation&&(set$1(selectedConversation,conversation,!0),set$1(editedName,conversation.name,!0),set$1(showEditDialog,!0))}function handleConfirmDelete(){if(get$3(selectedConversation)){const convId=get$3(selectedConversation).
+id,withForks=get$3(deleteWithForks);set$1(showDeleteDialog,!1),setTimeout(()=>{conversationsStore.deleteConversation(convId,{deleteWithForks:withForks})},100)}}function handleConfirmEdit(){!get$3(editedName).trim()||!get$3(selectedConversation)||(set$1(showEditDialog,!1),conversationsStore.updateConversationName(get$3(selectedConversation).id,get$3(editedName)),set$1(selectedConversation,null))}function handleMobileSidebarItemClick(){sidebar.isMobile&&sidebar.toggle()}let chatSidebarActions=state$1(
+void 0),openedForSearch=state$1(!1);function activateSearchMode(){sidebar.open||set$1(openedForSearch,!0),get$3(chatSidebarActions)?.activateSearch?.()}function handleSearchDeactivated(){get$3(openedForSearch)&&(set$1(openedForSearch,!1),sidebar.toggle())}user_effect(()=>{sidebar.open||(set$1(isSearchModeActive,!1),set$1(searchQuery,""),set$1(openedForSearch,!1))});function editActiveConversation(){if(get$3(currentChatId)&&get$3(filteredConversations).find(conv=>conv.id===get$3(currentChatId))){
+const event2=new CustomEvent("edit-active-conversation",{detail:{conversationId:get$3(currentChatId)}});document.dispatchEvent(event2)}}async function selectConversation(id2){get$3(isSearchModeActive)&&(set$1(isSearchModeActive,!1),set$1(searchQuery,"")),handleMobileSidebarItemClick(),await goto(`#/chat/${id2}`)}function handleStopGeneration(id2){chatStore.stopGenerationForChat(id2)}var $$exports={handleMobileSidebarItemClick,activateSearchMode,editActiveConversation},fragment=root$5(),div=first_child(
+fragment),node2=child(div);Scroll_area(node2,{class:"h-full flex-1",children:($$anchor2,$$slotProps)=>{var fragment_1=root_1$3(),node_1=first_child(fragment_1);component(node_1,()=>Sidebar_header,($$anchor3,Sidebar_Header)=>{Sidebar_Header($$anchor3,{class:"gap-4 bg-sidebar/50 p-3 backdrop-blur-lg md:pt-4 md:pb-2",children:($$anchor4,$$slotProps2)=>{var fragment_2=root_2$3(),div_1=first_child(fragment_2),a=child(div_1),h1=child(a),text2=child(h1,!0);reset(h1),reset(a);var node_2=sibling(a,2);Button(
+node_2,{class:"rounded-full md:hidden",variant:"ghost",size:"icon",onclick:()=>sidebar.toggle(),children:($$anchor5,$$slotProps3)=>{var fragment_3=root_3$2(),node_3=first_child(fragment_3);X(node_3,{class:"h-4 w-4"}),next$1(2),append($$anchor5,fragment_3)},$$slots:{default:!0}}),reset(div_1);var node_4=sibling(div_1,2);bind_this(SidebarNavigationActions(node_4,{handleMobileSidebarItemClick,onSearchDeactivated:handleSearchDeactivated,get isSearchModeActive(){return get$3(isSearchModeActive)},set isSearchModeActive($$value){
+set$1(isSearchModeActive,$$value,!0)},get searchQuery(){return get$3(searchQuery)},set searchQuery($$value){set$1(searchQuery,$$value,!0)}}),$$value=>set$1(chatSidebarActions,$$value,!0),()=>get$3(chatSidebarActions)),template_effect(()=>set_text(text2,APP_NAME)),delegated("click",a,handleMobileSidebarItemClick),append($$anchor4,fragment_2)},$$slots:{default:!0}})});var node_5=sibling(node_1,2);component(node_5,()=>Sidebar_group,($$anchor3,Sidebar_Group)=>{Sidebar_Group($$anchor3,{class:"mt-2 h-\
+[calc(100vh-21rem)] space-y-2 p-0 px-3",children:($$anchor4,$$slotProps2)=>{var fragment_4=root_4(),node_6=first_child(fragment_4);{var consequent=$$anchor5=>{var fragment_5=comment$2(),node_7=first_child(fragment_5);component(node_7,()=>Sidebar_group_label,($$anchor6,Sidebar_GroupLabel)=>{Sidebar_GroupLabel($$anchor6,{children:($$anchor7,$$slotProps3)=>{next$1();var text_1=text$8();template_effect(()=>set_text(text_1,get$3(isSearchModeActive)?"Search results":"Recent conversations")),append($$anchor7,
+text_1)},$$slots:{default:!0}})}),append($$anchor5,fragment_5)};if_block(node_6,$$render=>{(get$3(filteredConversations).length>0&&get$3(isSearchModeActive)||!get$3(isSearchModeActive))&&$$render(consequent)})}var node_8=sibling(node_6,2);component(node_8,()=>Sidebar_group_content,($$anchor5,Sidebar_GroupContent)=>{Sidebar_GroupContent($$anchor5,{children:($$anchor6,$$slotProps3)=>{var fragment_7=comment$2(),node_9=first_child(fragment_7);component(node_9,()=>Sidebar_menu,($$anchor7,Sidebar_Menu)=>{
+Sidebar_Menu($$anchor7,{children:($$anchor8,$$slotProps4)=>{var fragment_8=root_8$1(),node_10=first_child(fragment_8);each(node_10,17,()=>get$3(conversationTree),({conversation,depth})=>conversation.id,($$anchor9,$$item)=>{let conversation=()=>get$3($$item).conversation,depth=()=>get$3($$item).depth;var fragment_9=comment$2(),node_11=first_child(fragment_9);component(node_11,()=>Sidebar_menu_item,($$anchor10,Sidebar_MenuItem)=>{Sidebar_MenuItem($$anchor10,{class:"mb-1 p-0",children:($$anchor11,$$slotProps5)=>{
+{let $0=user_derived(()=>({id:conversation().id,name:conversation().name,lastModified:conversation().lastModified,currNode:conversation().currNode,forkedFromConversationId:conversation().forkedFromConversationId})),$1=user_derived(()=>get$3(currentChatId)===conversation().id);SidebarNavigationConversationItem($$anchor11,{get conversation(){return get$3($0)},get depth(){return depth()},get isActive(){return get$3($1)},onSelect:selectConversation,onEdit:handleEditConversation,onDelete:handleDeleteConversation,
+onStop:handleStopGeneration})}},$$slots:{default:!0}})}),append($$anchor9,fragment_9)});var node_12=sibling(node_10,2);{var consequent_1=$$anchor9=>{var div_2=root_11$1(),p2=child(div_2),text_2=child(p2,!0);reset(p2),reset(div_2),template_effect(()=>set_text(text_2,get$3(searchQuery).length>0?"No results found":get$3(isSearchModeActive)?"Start typing to see results":"No conversations yet")),append($$anchor9,div_2)};if_block(node_12,$$render=>{get$3(conversationTree).length===0&&$$render(consequent_1)})}
+append($$anchor8,fragment_8)},$$slots:{default:!0}})}),append($$anchor6,fragment_7)},$$slots:{default:!0}})}),append($$anchor4,fragment_4)},$$slots:{default:!0}})}),append($$anchor2,fragment_1)},$$slots:{default:!0}}),reset(div);var node_13=sibling(div,2);{let $0=user_derived(()=>get$3(selectedConversation)?`Are you sure you want to delete "${get$3(selectedConversationNamePreview)}"? This action cannot be undone and will permanently remove all messages in this conversation.`:"");DialogConfirmation(
+node_13,{title:"Delete Conversation",get description(){return get$3($0)},confirmText:"Delete",cancelText:"Cancel",variant:"destructive",get icon(){return Trash_2},onConfirm:handleConfirmDelete,onCancel:()=>{set$1(showDeleteDialog,!1),set$1(selectedConversation,null)},get open(){return get$3(showDeleteDialog)},set open($$value){set$1(showDeleteDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{var fragment_11=comment$2(),node_14=first_child(fragment_11);{var consequent_2=$$anchor3=>{var div_3=root_13(),
+node_15=child(div_3);Checkbox(node_15,{id:"delete-with-forks",get checked(){return get$3(deleteWithForks)},set checked($$value){set$1(deleteWithForks,$$value,!0)}});var node_16=sibling(node_15,2);Label(node_16,{for:"delete-with-forks",class:"text-sm",children:($$anchor4,$$slotProps2)=>{next$1();var text_3=text$8("Also delete all forked conversations");append($$anchor4,text_3)},$$slots:{default:!0}}),reset(div_3),append($$anchor3,div_3)};if_block(node_14,$$render=>{get$3(selectedConversationHasDescendants)&&
+$$render(consequent_2)})}append($$anchor2,fragment_11)},$$slots:{default:!0}})}var node_17=sibling(node_13,2);return DialogConfirmation(node_17,{title:"Edit Conversation Name",description:"",confirmText:"Save",cancelText:"Cancel",get icon(){return Pencil},onConfirm:handleConfirmEdit,onCancel:()=>{set$1(showEditDialog,!1),set$1(selectedConversation,null)},onKeydown:event2=>{event2.key==="Enter"&&(event2.preventDefault(),event2.stopImmediatePropagation(),handleConfirmEdit())},get open(){return get$3(
+showEditDialog)},set open($$value){set$1(showEditDialog,$$value,!0)},children:($$anchor2,$$slotProps)=>{Input($$anchor2,{class:"text-foreground",placeholder:"Enter a new name",type:"text",get value(){return get$3(editedName)},set value($$value){set$1(editedName,$$value,!0)}})},$$slots:{default:!0}}),append($$anchor,fragment),pop($$exports)}delegate(["click"]);var root_2$2=from_html("<!> ",1),root_1$2=from_html("<!> <!>",1),root_6$1=from_html("<!> ",1),root$4=from_html('<div><div class="flex item\
+s-center space-x-2"><div></div> <span class="text-sm text-muted-foreground"> </span></div> <!> <!></div>');function ServerStatus($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showActions=prop($$props,"showActions",3,!1),error2=user_derived(serverError),loading=user_derived(serverLoading),model=user_derived(singleModelName),serverData=user_derived(serverProps);function getStatusColor(){return get$3(loading)?"bg-yellow-500":get$3(error2)?"bg-red-500":get$3(serverData)?
+"bg-green-500":"bg-gray-500"}function getStatusText(){return get$3(loading)?"Connecting...":get$3(error2)?"Connection Error":get$3(serverData)?"Connected":"Unknown"}var div=root$4(),div_1=child(div),div_2=child(div_1),span=sibling(div_2,2),text2=child(span,!0);reset(span),reset(div_1);var node2=sibling(div_1,2);{var consequent_1=$$anchor2=>{var fragment=root_1$2(),node_1=first_child(fragment);Badge(node_1,{variant:"outline",class:"text-xs",children:($$anchor3,$$slotProps)=>{var fragment_1=root_2$2(),
+node_2=first_child(fragment_1);Server(node_2,{class:"mr-1 h-3 w-3"});var text_1=sibling(node_2);template_effect(()=>set_text(text_1,` ${(get$3(model)||"Unknown Model")??""}`)),append($$anchor3,fragment_1)},$$slots:{default:!0}});var node_3=sibling(node_1,2);{var consequent=$$anchor3=>{Badge($$anchor3,{variant:"secondary",class:"text-xs",children:($$anchor4,$$slotProps)=>{next$1();var text_2=text$8();template_effect($0=>set_text(text_2,`ctx: ${$0??""}`),[()=>get$3(serverData).default_generation_settings.
+n_ctx.toLocaleString()]),append($$anchor4,text_2)},$$slots:{default:!0}})};if_block(node_3,$$render=>{get$3(serverData)?.default_generation_settings?.n_ctx&&$$render(consequent)})}append($$anchor2,fragment)};if_block(node2,$$render=>{get$3(serverData)&&!get$3(error2)&&$$render(consequent_1)})}var node_4=sibling(node2,2);{var consequent_2=$$anchor2=>{Button($$anchor2,{variant:"outline",size:"sm",class:"text-destructive",children:($$anchor3,$$slotProps)=>{var fragment_5=root_6$1(),node_5=first_child(
+fragment_5);Triangle_alert(node_5,{class:"h-4 w-4"});var text_3=sibling(node_5);template_effect(()=>set_text(text_3,` ${get$3(error2)??""}`)),append($$anchor3,fragment_5)},$$slots:{default:!0}})};if_block(node_4,$$render=>{showActions()&&get$3(error2)&&$$render(consequent_2)})}reset(div),template_effect(($0,$1)=>{set_class(div,1,`flex items-center space-x-3 ${className()??""}`),set_class(div_2,1,`h-2 w-2 rounded-full ${$0??""}`),set_text(text2,$1)},[()=>getStatusColor(),()=>getStatusText()]),append(
+$$anchor,div),pop()}var root_2$1=from_html("<!> Enter API Key",1),root_1$1=from_html('<div class="mb-4"><!></div>'),root_5$1=from_html('<div class="absolute top-1/2 right-3 -translate-y-1/2"><!></div>'),root_6=from_html('<div class="absolute top-1/2 right-3 -translate-y-1/2"><!></div>'),root_7=from_html('<div class="absolute top-1/2 right-3 -translate-y-1/2"><!></div>'),root_8=from_html('<p class="text-sm text-destructive"> </p>'),root_9=from_html('<p class="text-sm text-green-600">✓ API key val\
+idated successfully! Connecting...</p>'),root_11=from_html("<!> Validating...",1),root_3$1=from_html('<div class="mb-4 space-y-3 text-left"><div class="space-y-2"><!> <div class="relative"><!> <!></div> <!> <!></div> <div class="flex gap-2"><!> <!></div></div>'),root_17=from_html("<!> Connecting...",1),root_18=from_html("<!> Retry Connection",1),root_15=from_html("<div><!></div>"),root_19=from_html('<div class="mt-4 text-left"><details class="text-sm"><summary class="cursor-pointer text-muted-fo\
+reground hover:text-foreground">Troubleshooting</summary> <div class="mt-2 space-y-3 text-xs text-muted-foreground"><div class="space-y-2"><p class="mb-4 font-medium">Start the llama-server:</p> <div class="rounded bg-muted/50 px-2 py-1 font-mono text-xs"><p>llama-server -hf ggml-org/gemma-3-4b-it-GGUF</p></div> <p>or</p> <div class="rounded bg-muted/50 px-2 py-1 font-mono text-xs"><p class="mt-1">llama-server -m locally-stored-model.gguf</p></div></div> <ul class="list-disc space-y-1 pl-4"><li>\
+Check that the server is accessible at the correct URL</li> <li>Verify your network connection</li> <li>Check server logs for any error messages</li></ul></div></details></div>'),root$3=from_html('<div><div class="w-full max-w-md px-4 text-center"><div class="mb-6"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full bg-destructive/10"><!></div> <h2 class="mb-2 text-xl font-semibold">Server Connection Error</h2> <p class="mb-4 text-sm text-muted-foreground"> </p></div\
+> <!> <!> <!> <!></div></div>');function ServerErrorSplash($$anchor,$$props){push$1($$props,!0);let className=prop($$props,"class",3,""),showRetry=prop($$props,"showRetry",3,!0),showTroubleshooting=prop($$props,"showTroubleshooting",3,!1),isServerLoading=user_derived(serverLoading),isAccessDeniedError=user_derived(()=>$$props.error.toLowerCase().includes("access denied")||$$props.error.toLowerCase().includes("invalid api key")||$$props.error.toLowerCase().includes("unauthorized")||$$props.error.
+toLowerCase().includes("401")||$$props.error.toLowerCase().includes("403")),apiKeyInput=state$1(""),showApiKeyInput=state$1(!1),apiKeyState=state$1("idle"),apiKeyError=state$1("");function handleRetryConnection(){$$props.onRetry?$$props.onRetry():serverStore.fetch()}function handleShowApiKeyInput(){set$1(showApiKeyInput,!0);const currentConfig=config$1();set$1(apiKeyInput,currentConfig.apiKey?.toString()||"",!0)}async function handleSaveApiKey(){if(get$3(apiKeyInput).trim()){set$1(apiKeyState,"v\
+alidating"),set$1(apiKeyError,"");try{settingsStore.updateConfig("apiKey",get$3(apiKeyInput).trim());const response=await fetch(`${base}/props`,{headers:{"Content-Type":"application/json",Authorization:`Bearer ${get$3(apiKeyInput).trim()}`}});response.ok?(set$1(apiKeyState,"success"),setTimeout(()=>{goto("#/")},1e3)):(set$1(apiKeyState,"error"),response.status===401||response.status===403?set$1(apiKeyError,"Invalid API key - please check and try again"):set$1(apiKeyError,`Authentication failed (${response.
+status})`),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3))}catch(error2){set$1(apiKeyState,"error"),error2 instanceof Error?error2.message.includes("fetch")?set$1(apiKeyError,"Cannot connect to server - check if server is running"):set$1(apiKeyError,error2.message,!0):set$1(apiKeyError,"Connection error - please try again"),setTimeout(()=>{set$1(apiKeyState,"idle")},3e3)}}}function handleApiKeyKeydown(event2){event2.key===KeyboardKey.ENTER&&handleSaveApiKey()}var div=root$3(),div_1=child(div),div_2=child(
+div_1),div_3=child(div_2),node2=child(div_3);Triangle_alert(node2,{class:"h-8 w-8 text-destructive"}),reset(div_3);var p2=sibling(div_3,4),text2=child(p2,!0);reset(p2),reset(div_2);var node_1=sibling(div_2,2);{var consequent=$$anchor2=>{var div_4=root_1$1(),node_2=child(div_4);Button(node_2,{onclick:handleShowApiKeyInput,variant:"outline",class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment=root_2$1(),node_3=first_child(fragment);Key(node_3,{class:"h-4 w-4"}),next$1(),append($$anchor3,
+fragment)},$$slots:{default:!0}}),reset(div_4),transition(1,div_4,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_4)};if_block(node_1,$$render=>{get$3(isAccessDeniedError)&&!get$3(showApiKeyInput)&&$$render(consequent)})}var node_4=sibling(node_1,2);{var consequent_8=$$anchor2=>{var div_5=root_3$1(),div_6=child(div_5),node_5=child(div_6);Label(node_5,{for:"api-key-input",class:"text-sm font-medium",children:($$anchor3,$$slotProps)=>{next$1();var text_1=text$8("API Key");append(
+$$anchor3,text_1)},$$slots:{default:!0}});var div_7=sibling(node_5,2),node_6=child(div_7);{let $0=user_derived(()=>get$3(apiKeyState)==="error"?"border-destructive":get$3(apiKeyState)==="success"?"border-green-500":""),$1=user_derived(()=>get$3(apiKeyState)==="validating");Input(node_6,{id:"api-key-input",placeholder:"Enter your API key...",onkeydown:handleApiKeyKeydown,get class(){return`w-full pr-10 ${get$3($0)??""}`},get disabled(){return get$3($1)},get value(){return get$3(apiKeyInput)},set value($$value){
+set$1(apiKeyInput,$$value,!0)}})}var node_7=sibling(node_6,2);{var consequent_1=$$anchor3=>{var div_8=root_5$1(),node_8=child(div_8);Refresh_cw(node_8,{class:"h-4 w-4 animate-spin text-muted-foreground"}),reset(div_8),append($$anchor3,div_8)},consequent_2=$$anchor3=>{var div_9=root_6(),node_9=child(div_9);Circle_check_big(node_9,{class:"h-4 w-4 text-green-500"}),reset(div_9),transition(1,div_9,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_9)},consequent_3=$$anchor3=>{var div_10=root_7(),
+node_10=child(div_10);Circle_x(node_10,{class:"h-4 w-4 text-destructive"}),reset(div_10),transition(1,div_10,()=>scale,()=>({duration:200,start:.8})),append($$anchor3,div_10)};if_block(node_7,$$render=>{get$3(apiKeyState)==="validating"?$$render(consequent_1):get$3(apiKeyState)==="success"?$$render(consequent_2,1):get$3(apiKeyState)==="error"&&$$render(consequent_3,2)})}reset(div_7);var node_11=sibling(div_7,2);{var consequent_4=$$anchor3=>{var p_1=root_8(),text_2=child(p_1,!0);reset(p_1),template_effect(
+()=>set_text(text_2,get$3(apiKeyError))),transition(1,p_1,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_1)};if_block(node_11,$$render=>{get$3(apiKeyError)&&$$render(consequent_4)})}var node_12=sibling(node_11,2);{var consequent_5=$$anchor3=>{var p_2=root_9();transition(1,p_2,()=>fly,()=>({y:-10,duration:200})),append($$anchor3,p_2)};if_block(node_12,$$render=>{get$3(apiKeyState)==="success"&&$$render(consequent_5)})}reset(div_6);var div_11=sibling(div_6,2),node_13=child(div_11);{let $0=user_derived(
+()=>!get$3(apiKeyInput).trim()||get$3(apiKeyState)==="validating"||get$3(apiKeyState)==="success");Button(node_13,{onclick:handleSaveApiKey,get disabled(){return get$3($0)},class:"flex-1",children:($$anchor3,$$slotProps)=>{var fragment_1=comment$2(),node_14=first_child(fragment_1);{var consequent_6=$$anchor4=>{var fragment_2=root_11(),node_15=first_child(fragment_2);Refresh_cw(node_15,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_2)},consequent_7=$$anchor4=>{var text_3=text$8(
+"Success!");append($$anchor4,text_3)},alternate=$$anchor4=>{var text_4=text$8("Save & Retry");append($$anchor4,text_4)};if_block(node_14,$$render=>{get$3(apiKeyState)==="validating"?$$render(consequent_6):get$3(apiKeyState)==="success"?$$render(consequent_7,1):$$render(alternate,-1)})}append($$anchor3,fragment_1)},$$slots:{default:!0}})}var node_16=sibling(node_13,2);{let $0=user_derived(()=>get$3(apiKeyState)==="validating");Button(node_16,{onclick:()=>{set$1(showApiKeyInput,!1),set$1(apiKeyState,
+"idle"),set$1(apiKeyError,"")},variant:"outline",class:"flex-1",get disabled(){return get$3($0)},children:($$anchor3,$$slotProps)=>{next$1();var text_5=text$8("Cancel");append($$anchor3,text_5)},$$slots:{default:!0}})}reset(div_11),reset(div_5),transition(1,div_5,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_5)};if_block(node_4,$$render=>{get$3(showApiKeyInput)&&$$render(consequent_8)})}var node_17=sibling(node_4,2);{var consequent_10=$$anchor2=>{var div_12=root_15(),node_18=child(
+div_12);Button(node_18,{onclick:handleRetryConnection,get disabled(){return get$3(isServerLoading)},class:"w-full",children:($$anchor3,$$slotProps)=>{var fragment_3=comment$2(),node_19=first_child(fragment_3);{var consequent_9=$$anchor4=>{var fragment_4=root_17(),node_20=first_child(fragment_4);Refresh_cw(node_20,{class:"h-4 w-4 animate-spin"}),next$1(),append($$anchor4,fragment_4)},alternate_1=$$anchor4=>{var fragment_5=root_18(),node_21=first_child(fragment_5);Refresh_cw(node_21,{class:"h-4 w-\
+4"}),next$1(),append($$anchor4,fragment_5)};if_block(node_19,$$render=>{get$3(isServerLoading)?$$render(consequent_9):$$render(alternate_1,-1)})}append($$anchor3,fragment_3)},$$slots:{default:!0}}),reset(div_12),transition(1,div_12,()=>fly,()=>({y:10,duration:300,delay:200})),append($$anchor2,div_12)};if_block(node_17,$$render=>{showRetry()&&$$render(consequent_10)})}var node_22=sibling(node_17,2);{var consequent_11=$$anchor2=>{var div_13=root_19();transition(1,div_13,()=>fly,()=>({y:10,duration:300,
+delay:400})),append($$anchor2,div_13)};if_block(node_22,$$render=>{showTroubleshooting()&&$$render(consequent_11)})}reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,$$props.error)}),transition(1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div),pop()}var root$2=from_html('<div><div class="text-center"><div class="mb-4"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full b\
+g-muted"><!></div> <h2 class="mb-2 text-xl font-semibold">Connecting to Server</h2> <p class="text-sm text-muted-foreground"> </p></div> <div class="mt-4"><!></div></div></div>');function ServerLoadingSplash($$anchor,$$props){let className=prop($$props,"class",3,""),message=prop($$props,"message",3,"Initializing connection to llama.cpp server...");var div=root$2(),div_1=child(div),div_2=child(div_1),div_3=child(div_2),node2=child(div_3);Server(node2,{class:"h-8 w-8 animate-pulse text-muted-foreg\
+round"}),reset(div_3);var p2=sibling(div_3,4),text2=child(p2,!0);reset(p2),reset(div_2);var div_4=sibling(div_2,2),node_1=child(div_4);ServerStatus(node_1,{class:"justify-center"}),reset(div_4),reset(div_1),reset(div),template_effect(()=>{set_class(div,1,`flex h-full items-center justify-center ${className()??""}`),set_text(text2,message())}),transition(1,div_2,()=>fade,()=>({duration:300})),append($$anchor,div)}function useSettingsNavigation(){const subroute=proxy({activePanel:"chat",chatSettingsRef:void 0}),
+isSettingsRoute=user_derived(()=>!!page$1.route.id?.startsWith("/settings"));return beforeNavigate(({to,from})=>{to?.route?.id?.startsWith("/settings/chat")&&!from?.route?.id?.startsWith("/settings/chat")&&(settingsReferrer.url=window.location.hash||"#/")}),user_effect(()=>{subroute.activePanel==="settings"&&subroute.chatSettingsRef&&subroute.chatSettingsRef.reset()}),user_effect(()=>{page$1.url,subroute.activePanel="chat"}),{get panel(){return subroute},get isSettingsRoute(){return get$3(isSettingsRoute)}}}
+var root_5=from_html("<div><!></div>"),root_2=from_html('<div class="flex h-screen w-full"><!> <!> <!> <!></div>'),root_1=from_html("<!> <!> <!> <!>",1);function _layout$2($$anchor,$$props){push$1($$props,!0);let alwaysShowSidebarOnDesktop=user_derived(()=>config$1().alwaysShowSidebarOnDesktop),isMobile=new IsMobile,isDesktop=user_derived(()=>!isMobile.current),sidebarOpen=state$1(!1),mounted=state$1(!1),innerHeight=state$1(void 0),chatSidebar=state$1(void 0),titleUpdateDialogOpen=state$1(!1),titleUpdateCurrentTitle=state$1(
+""),titleUpdateNewTitle=state$1(""),titleUpdateResolve=null;const panelNav=useSettingsNavigation();function navigateToConversation(direction){const allConvs=conversations();if(allConvs.length===0)return;const currentId=page$1.params.id;if(!currentId){goto(`#/chat/${allConvs[direction===1?0:allConvs.length-1].id}`);return}const idx=allConvs.findIndex(c2=>c2.id===currentId);if(idx===-1)return;const targetIdx=idx+direction;targetIdx>=0&&targetIdx<allConvs.length?goto(`#/chat/${allConvs[targetIdx].id}`):
+goto("?new_chat=true#/")}const{handleKeydown}=useKeyboardShortcuts({editActiveConversation:()=>get$3(chatSidebar)?.editActiveConversation?.(),navigateToPrevConversation:()=>navigateToConversation(-1),navigateToNextConversation:()=>navigateToConversation(1)});function checkApiKey(){const apiKey=config$1().apiKey;if((page$1.route.id==="/(chat)"||page$1.route.id==="/(chat)/chat/[id]")&&page$1.status!==401&&page$1.status!==403){const headers={"Content-Type":"application/json"};apiKey&&apiKey.trim()!==
+""&&(headers.Authorization=`Bearer ${apiKey.trim()}`),fetch(`${base}/props`,{headers}).then(response=>{(response.status===401||response.status===403)&&window.location.reload()}).catch(e=>{console.error("Error checking API key:",e)})}}function handleTitleUpdateCancel(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!1),titleUpdateResolve=null)}function handleTitleUpdateConfirm(){set$1(titleUpdateDialogOpen,!1),titleUpdateResolve&&(titleUpdateResolve(!0),titleUpdateResolve=
+null)}onMount$1(()=>{set$1(mounted,!0)}),user_effect(()=>{if(get$3(alwaysShowSidebarOnDesktop)&&get$3(isDesktop)){set$1(sidebarOpen,!0);return}}),user_effect(()=>{serverStore.props||untrack$1(()=>{serverStore.fetch()})}),user_effect(()=>{serverStore.props&&settingsStore.syncWithServerDefaults()});let routerModelsFetched=!1;user_effect(()=>{const isRouter=isRouterMode(),modelsCount=modelsStore.models.length;isRouter&&modelsCount>0&&!routerModelsFetched&&(routerModelsFetched=!0,untrack$1(()=>{modelsStore.
+fetchRouterModels()}))}),user_effect(()=>{const enabledServers=mcpStore.getServers().filter(s2=>s2.enabled&&s2.url.trim());enabledServers.length>0&&untrack$1(()=>{mcpStore.runHealthChecksForServers(enabledServers,!1).catch(error2=>{console.warn("[layout] MCP health checks failed:",error2)})})}),user_effect(()=>{checkApiKey()}),user_effect(()=>{conversationsStore.setTitleUpdateConfirmationCallback(async(currentTitle,newTitle)=>new Promise(resolve2=>{set$1(titleUpdateCurrentTitle,currentTitle,!0),
+set$1(titleUpdateNewTitle,newTitle,!0),titleUpdateResolve=resolve2,set$1(titleUpdateDialogOpen,!0)}))});var fragment=comment$2();event("keydown",$window,handleKeydown);var node2=first_child(fragment);component(node2,()=>Provider,($$anchor2,Tooltip_Provider)=>{Tooltip_Provider($$anchor2,{get delayDuration(){return TOOLTIP_DELAY_DURATION},children:($$anchor3,$$slotProps)=>{var fragment_1=root_1(),node_1=first_child(fragment_1);Mode_watcher(node_1,{});var node_2=sibling(node_1,2);Toaster(node_2,{richColors:!0});
+var node_3=sibling(node_2,2);DialogConversationTitleUpdate(node_3,{get currentTitle(){return get$3(titleUpdateCurrentTitle)},get newTitle(){return get$3(titleUpdateNewTitle)},onConfirm:handleTitleUpdateConfirm,onCancel:handleTitleUpdateCancel,get open(){return get$3(titleUpdateDialogOpen)},set open($$value){set$1(titleUpdateDialogOpen,$$value,!0)}});var node_4=sibling(node_3,2);component(node_4,()=>Sidebar_provider,($$anchor4,Sidebar_Provider)=>{Sidebar_Provider($$anchor4,{get open(){return get$3(
+sidebarOpen)},set open($$value){set$1(sidebarOpen,$$value,!0)},children:($$anchor5,$$slotProps2)=>{var div=root_2();let styles2;var node_5=child(div);component(node_5,()=>Sidebar,($$anchor6,Sidebar_Root)=>{Sidebar_Root($$anchor6,{variant:"floating",class:"h-full",children:($$anchor7,$$slotProps3)=>{bind_this(SidebarNavigation($$anchor7,{}),$$value=>set$1(chatSidebar,$$value,!0),()=>get$3(chatSidebar))},$$slots:{default:!0}})});var node_6=sibling(node_5,2);{var consequent_1=$$anchor6=>{var fragment_3=comment$2(),
+node_7=first_child(fragment_3);{var consequent=$$anchor7=>{var div_1=root_5(),node_8=child(div_1);{let $0=user_derived(()=>get$3(sidebarOpen)?"left-[calc(var(--sidebar-width)+0.75rem)] max-md:hidden":"left-0!");component(node_8,()=>Sidebar_trigger,($$anchor8,Sidebar_Trigger)=>{Sidebar_Trigger($$anchor8,{get class(){return`transition-left absolute left-0 z-[900] duration-200 ease-linear ${get$3($0)??""}`},style:"translate: 1rem 1rem;"})})}reset(div_1),transition(1,div_1,()=>fade,()=>({duration:200})),
+append($$anchor7,div_1)};if_block(node_7,$$render=>{get$3(mounted)&&$$render(consequent)})}append($$anchor6,fragment_3)};if_block(node_6,$$render=>{!(get$3(alwaysShowSidebarOnDesktop)&&get$3(isDesktop))&&!(panelNav.isSettingsRoute&&!get$3(isDesktop))&&$$render(consequent_1)})}var node_9=sibling(node_6,2);{var consequent_2=$$anchor6=>{DesktopIconStrip($$anchor6,{get sidebarOpen(){return get$3(sidebarOpen)},onSearchClick:()=>{get$3(chatSidebar)?.activateSearchMode&&get$3(chatSidebar).activateSearchMode(),
+set$1(sidebarOpen,!0)}})};if_block(node_9,$$render=>{get$3(isDesktop)&&!get$3(alwaysShowSidebarOnDesktop)&&$$render(consequent_2)})}var node_10=sibling(node_9,2);component(node_10,()=>Sidebar_inset,($$anchor6,Sidebar_Inset)=>{Sidebar_Inset($$anchor6,{class:"flex flex-1 flex-col overflow-hidden",children:($$anchor7,$$slotProps3)=>{var fragment_5=comment$2(),node_11=first_child(fragment_5);snippet(node_11,()=>$$props.children??noop$3),append($$anchor7,fragment_5)},$$slots:{default:!0}})}),reset(div),
+template_effect(()=>styles2=set_style(div,"",styles2,{height:`${get$3(innerHeight)??""}px`})),append($$anchor5,div)},$$slots:{default:!0}})}),append($$anchor3,fragment_1)},$$slots:{default:!0}})}),bind_window_size("innerHeight",$$value=>set$1(innerHeight,$$value,!0)),append($$anchor,fragment),pop()}const _0=Object.freeze(Object.defineProperty({__proto__:null,component:_layout$2},Symbol.toStringTag,{value:"Module"})),getStores=()=>{const stores$1=stores;return{page:{subscribe:stores$1.page.subscribe},
+navigating:{subscribe:stores$1.navigating.subscribe},updated:stores$1.updated}},page={subscribe(fn){return getStores().page.subscribe(fn)}};var root_3=from_html('<div class="flex h-full items-center justify-center"><div class="w-full max-w-md px-4 text-center"><div class="mb-6"><div class="mx-auto mb-4 flex h-16 w-16 items-center justify-center rounded-full bg-destructive/10"><svg class="h-8 w-8 text-destructive" fill="none" stroke="currentColor" viewBox="0 0 24 24"><path stroke-linecap="round" \
+stroke-linejoin="round" stroke-width="2" d="M12 9v2m0 4h.01m-6.938 4h13.856c1.54 0 2.502-1.667 1.732-2.5L13.732 4c-.77-.833-1.964-.833-2.732 0L3.732 16.5c-.77.833.192 2.5 1.732 2.5z"></path></svg></div> <h1 class="mb-2 text-2xl font-bold"> </h1> <p class="text-muted-foreground"> </p></div> <button class="rounded-md bg-primary px-4 py-2 text-primary-foreground hover:bg-primary/90">Go Home</button></div></div>');function _error($$anchor,$$props){push$1($$props,!0);const $page=()=>store_get(page,"$\
+page",$$stores),[$$stores,$$cleanup]=setup_stores();let error2=user_derived(()=>$page().error),status=user_derived(()=>$page().status),isApiKeyError=user_derived(()=>get$3(status)===401||get$3(status)===403||get$3(error2)?.message?.toLowerCase().includes("access denied")||get$3(error2)?.message?.toLowerCase().includes("unauthorized")||get$3(error2)?.message?.toLowerCase().includes("invalid api key"));function handleRetry(){goto("#/")}var fragment=comment$2();head$1("1j96wlh",$$anchor2=>{deferred_template_effect(
+()=>{$document.title=`Error ${get$3(status)??""} - WebUI`})});var node2=first_child(fragment);{var consequent=$$anchor2=>{{let $0=user_derived(()=>get$3(error2)?.message||"Access denied - check server permissions");ServerErrorSplash($$anchor2,{get error(){return get$3($0)},onRetry:handleRetry,showRetry:!1,showTroubleshooting:!1})}},alternate=$$anchor2=>{var div=root_3(),div_1=child(div),div_2=child(div_1),h1=sibling(child(div_2),2),text2=child(h1);reset(h1);var p2=sibling(h1,2),text_1=child(p2,!0);
+reset(p2),reset(div_2);var button=sibling(div_2,2);reset(div_1),reset(div),template_effect(()=>{set_text(text2,`Error ${get$3(status)??""}`),set_text(text_1,get$3(error2)?.message||"Something went wrong")}),delegated("click",button,()=>goto("#/")),append($$anchor2,div)};if_block(node2,$$render=>{get$3(isApiKeyError)?$$render(consequent):$$render(alternate,-1)})}append($$anchor,fragment),pop(),$$cleanup()}delegate(["click"]);const _1=Object.freeze(Object.defineProperty({__proto__:null,component:_error},
+Symbol.toStringTag,{value:"Module"}));var root$1=from_html("<!> <!>",1);function _layout$1($$anchor,$$props){push$1($$props,!0);let showCenteredEmpty=user_derived(()=>!page$1.params.id);var fragment=root$1(),node2=first_child(fragment);ChatScreen(node2,{get showCenteredEmpty(){return get$3(showCenteredEmpty)}});var node_1=sibling(node2,2);snippet(node_1,()=>$$props.children??noop$3),append($$anchor,fragment),pop()}const _2=Object.freeze(Object.defineProperty({__proto__:null,component:_layout$1},
+Symbol.toStringTag,{value:"Module"}));var root=from_html('<div class="relative h-full"><div class="fixed top-4.5 right-4 z-50 md:hidden"><!></div> <div class="min-h-full"><!></div></div>');function _layout($$anchor,$$props){push$1($$props,!0);let previousRouteId=state$1(null);user_effect(()=>{const currentId=page$1.route.id;return()=>{set$1(previousRouteId,currentId,!0)}});function handleClose(){const prevIsSettings=get$3(previousRouteId)?.startsWith("/settings");window.history.length>1&&!prevIsSettings?
+history.back():goto("#/")}var div=root(),div_1=child(div),node2=child(div_1);ActionIcon(node2,{get icon(){return X},tooltip:"Close",onclick:handleClose}),reset(div_1);var div_2=sibling(div_1,2),node_1=child(div_2);snippet(node_1,()=>$$props.children??noop$3),reset(div_2),reset(div),append($$anchor,div),pop()}const _3=Object.freeze(Object.defineProperty({__proto__:null,component:_layout},Symbol.toStringTag,{value:"Module"})),load$1=async({fetch:fetch2})=>{await validateApiKey(fetch2)},_page$5=Object.
+freeze(Object.defineProperty({__proto__:null,load:load$1},Symbol.toStringTag,{value:"Module"}));function _page$4($$anchor,$$props){push$1($$props,!0);let qParam=user_derived(()=>page$1.url.searchParams.get("q")),modelParam=user_derived(()=>page$1.url.searchParams.get("model")),newChatParam=user_derived(()=>page$1.url.searchParams.get("new_chat")),showModelNotAvailable=state$1(!1),requestedModelName=state$1(""),availableModelNames=user_derived(()=>modelOptions().map(m=>m.model));function clearUrlParams(){
+const url2=new URL(page$1.url);url2.searchParams.delete("q"),url2.searchParams.delete("model"),url2.searchParams.delete("new_chat"),replaceState(url2.toString(),{})}async function handleUrlParams(){if(await modelsStore.fetch(),get$3(modelParam)){const model=modelsStore.findModelByName(get$3(modelParam));if(model)try{await modelsStore.selectModelById(model.id)}catch(error2){console.error("Failed to select model:",error2),set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);
+return}else{set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}}get$3(qParam)!==null?(await conversationsStore.createConversation(),clearUrlParams()):(get$3(modelParam)||get$3(newChatParam)==="true")&&clearUrlParams()}onMount$1(async()=>{if(isConversationsInitialized()||await conversationsStore.initialize(),conversationsStore.clearActiveConversation(),chatStore.clearUIState(),isRouterMode()&&modelsStore.selectedModelName&&!modelsStore.isModelLoaded(modelsStore.
+selectedModelName)){modelsStore.clearSelection();const first=modelOptions().find(m=>modelsStore.loadedModelIds.includes(m.model));first&&await modelsStore.selectModelById(first.id)}(get$3(qParam)!==null||get$3(modelParam)!==null||get$3(newChatParam)==="true")&&await handleUrlParams()}),head$1("ku01nm",$$anchor2=>{deferred_template_effect(()=>{$document.title=APP_NAME})}),DialogModelNotAvailable($$anchor,{get modelName(){return get$3(requestedModelName)},get availableModels(){return get$3(availableModelNames)},
+get open(){return get$3(showModelNotAvailable)},set open($$value){set$1(showModelNotAvailable,$$value,!0)}}),pop()}const _4=Object.freeze(Object.defineProperty({__proto__:null,component:_page$4,universal:_page$5},Symbol.toStringTag,{value:"Module"})),load=async({fetch:fetch2})=>{await validateApiKey(fetch2)},_page$3=Object.freeze(Object.defineProperty({__proto__:null,load},Symbol.toStringTag,{value:"Module"}));function _page$2($$anchor,$$props){push$1($$props,!0);let chatId=user_derived(()=>page$1.
+params.id),currentChatId,qParam=user_derived(()=>page$1.url.searchParams.get("q")),modelParam=user_derived(()=>page$1.url.searchParams.get("model")),showModelNotAvailable=state$1(!1),requestedModelName=state$1(""),availableModelNames=user_derived(()=>modelOptions().map(m=>m.model)),urlParamsProcessed=state$1(!1);function clearUrlParams(){const url2=new URL(page$1.url);url2.searchParams.delete("q"),url2.searchParams.delete("model"),replaceState(url2.toString(),{})}async function handleUrlParams(){
+if(await modelsStore.fetch(),get$3(modelParam)){const model=modelsStore.findModelByName(get$3(modelParam));if(model)try{await modelsStore.selectModelById(model.id)}catch(error2){console.error("Failed to select model:",error2),set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}else{set$1(requestedModelName,get$3(modelParam),!0),set$1(showModelNotAvailable,!0);return}}get$3(qParam)!==null?(await chatStore.sendMessage(get$3(qParam)),clearUrlParams()):get$3(modelParam)&&
+clearUrlParams(),set$1(urlParamsProcessed,!0)}async function selectModelFromLastAssistantResponse(){const messages=activeMessages();if(messages.length===0)return;let lastMessageWithModel;for(let i=messages.length-1;i>=0;i--)if(messages[i].model){lastMessageWithModel=messages[i];break}if(!lastMessageWithModel)return;const currentModelId=selectedModelId();if(modelOptions().find(m=>m.id===currentModelId)?.model===lastMessageWithModel.model)return;const matchingModel=modelOptions().find(option2=>option2.
+model===lastMessageWithModel.model);if(matchingModel&&modelsStore.isModelLoaded(matchingModel.model))try{await modelsStore.selectModelById(matchingModel.id),console.log(`Automatically selected model: ${lastMessageWithModel.model} from last message`)}catch(error2){console.warn("Failed to automatically select model from last message:",error2)}}afterNavigate(()=>{setTimeout(()=>{selectModelFromLastAssistantResponse()},100)}),user_effect(()=>{if(get$3(chatId)&&get$3(chatId)!==currentChatId){if(currentChatId=
+get$3(chatId),set$1(urlParamsProcessed,!1),activeConversation()?.id===get$3(chatId)){(get$3(qParam)!==null||get$3(modelParam)!==null)&&!get$3(urlParamsProcessed)&&handleUrlParams();return}(async()=>await conversationsStore.loadConversation(get$3(chatId))?(chatStore.syncLoadingStateForChat(get$3(chatId)),(get$3(qParam)!==null||get$3(modelParam)!==null)&&!get$3(urlParamsProcessed)&&await handleUrlParams()):await goto("#/"))()}}),user_effect(()=>{if(typeof window<"u"){const handleBeforeUnload=()=>{
+isLoading()&&(console.log("Page unload detected while streaming - aborting stream"),chatStore.stopGeneration())};return window.addEventListener("beforeunload",handleBeforeUnload),()=>{window.removeEventListener("beforeunload",handleBeforeUnload)}}}),head$1("jib4ir",$$anchor2=>{deferred_template_effect($0=>{$document.title=`${$0??""} - llama.cpp`},[()=>activeConversation()?.name||"Chat"])}),DialogModelNotAvailable($$anchor,{get modelName(){return get$3(requestedModelName)},get availableModels(){return get$3(
+availableModelNames)},get open(){return get$3(showModelNotAvailable)},set open($$value){set$1(showModelNotAvailable,$$value,!0)}}),pop()}const _5=Object.freeze(Object.defineProperty({__proto__:null,component:_page$2,universal:_page$3},Symbol.toStringTag,{value:"Module"}));function _page$1($$anchor,$$props){push$1($$props,!1),init(),SettingsChat($$anchor,{get initialSection(){return page$1.params.section}}),pop()}const _6=Object.freeze(Object.defineProperty({__proto__:null,component:_page$1},Symbol.
+toStringTag,{value:"Module"}));function _page($$anchor){SettingsMcpServers($$anchor,{class:"mx-auto w-full p-4 md:p-8 md:py-8"})}const _7=Object.freeze(Object.defineProperty({__proto__:null,component:_page},Symbol.toStringTag,{value:"Module"})),pdf_worker_min='/**\n * @licstart The following is the entire license notice for the\n * JavaScript code in this page\n *\n * Copyright 2024 Mozilla Foundation\n *\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file \
+except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * @licend The above is the entire lic\
+ense notice for the\n * JavaScript code in this page\n */\n/**\n * pdfjsVersion = 5.4.54\n * pdfjsBuild = 295fb3ec4\n */\nconst e=!("object"!=typeof process||process+""!="[object process]"||process.versions.nw||process.versions.electron&&process.type&&"browser"!==process.type),t=[.001,0,0,.001,0,0],a=1.35,r=.35,i=.25925925925925924,n=1,s=2,o=4,c=8,l=16,h=64,u=128,d=256,f="pdfjs_internal_editor_",g=3,p=9,m=13,b=15,y=101,w={PRINT:4,MODIFY_CONTENTS:8,COPY:16,MODIFY_ANNOTATIONS:32,FILL_INTERACTIVE_FORMS:25\
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+=58,It=59,Tt=60,Ot=61,Mt=62,Dt=63,Bt=64,Rt=65,Nt=66,Et=67,Pt=68,Lt=69,jt=70,_t=71,Ut=72,Xt=73,qt=74,Ht=75,Wt=76,zt=77,$t=80,Gt=81,Vt=83,Kt=84,Jt=85,Yt=86,Zt=87,Qt=88,ea=89,ta=90,aa=91,ra=92,ia=93,na=94,sa=0,oa=1,ca=2,la=3,ha=1,ua=2;let da=Se;function getVerbosityLevel(){return da}function info(e){da>=Ae&&console.log(`Info: ${e}`)}function warn(e){da>=Se&&console.log(`Warning: ${e}`)}function unreachable(e){throw new Error(e)}function assert(e,t){e||unreachable(t)}function createValidAbsoluteUrl(\
+e,t=null,a=null){if(!e)return null;if(a&&"string"==typeof e){if(a.addDefaultProtocol&&e.startsWith("www.")){const t=e.match(/\\./g);t?.length>=2&&(e=`http://${e}`)}if(a.tryConvertEncoding)try{e=stringToUTF8String(e)}catch{}}const r=t?URL.parse(e,t):URL.parse(e);return function _isValidProtocol(e){switch(e?.protocol){case"http:":case"https:":case"ftp:":case"mailto:":case"tel:":return!0;default:return!1}}(r)?r:null}function shadow(e,t,a,r=!1){Object.defineProperty(e,t,{value:a,enumerable:!r,configu\
+rable:!0,writable:!1});return a}const fa=function BaseExceptionClosure(){function BaseException(e,t){this.message=e;this.name=t}BaseException.prototype=new Error;BaseException.constructor=BaseException;return BaseException}();class PasswordException extends fa{constructor(e,t){super(e,"PasswordException");this.code=t}}class UnknownErrorException extends fa{constructor(e,t){super(e,"UnknownErrorException");this.details=t}}class InvalidPDFException extends fa{constructor(e){super(e,"InvalidPDFExce\
+ption")}}class ResponseException extends fa{constructor(e,t,a){super(e,"ResponseException");this.status=t;this.missing=a}}class FormatError extends fa{constructor(e){super(e,"FormatError")}}class AbortException extends fa{constructor(e){super(e,"AbortException")}}function bytesToString(e){"object"==typeof e&&void 0!==e?.length||unreachable("Invalid argument for bytesToString");const t=e.length,a=8192;if(t<a)return String.fromCharCode.apply(null,e);const r=[];for(let i=0;i<t;i+=a){const n=Math.mi\
+n(i+a,t),s=e.subarray(i,n);r.push(String.fromCharCode.apply(null,s))}return r.join("")}function stringToBytes(e){"string"!=typeof e&&unreachable("Invalid argument for stringToBytes");const t=e.length,a=new Uint8Array(t);for(let r=0;r<t;++r)a[r]=255&e.charCodeAt(r);return a}function string32(e){return String.fromCharCode(e>>24&255,e>>16&255,e>>8&255,255&e)}function objectSize(e){return Object.keys(e).length}class FeatureTest{static get isLittleEndian(){return shadow(this,"isLittleEndian",function\
+ isLittleEndian(){const e=new Uint8Array(4);e[0]=1;return 1===new Uint32Array(e.buffer,0,1)[0]}())}static get isEvalSupported(){return shadow(this,"isEvalSupported",function isEvalSupported(){try{new Function("");return!0}catch{return!1}}())}static get isOffscreenCanvasSupported(){return shadow(this,"isOffscreenCanvasSupported","undefined"!=typeof OffscreenCanvas)}static get isImageDecoderSupported(){return shadow(this,"isImageDecoderSupported","undefined"!=typeof ImageDecoder)}static get platfo\
+rm(){const{platform:e,userAgent:t}=navigator;return shadow(this,"platform",{isAndroid:t.includes("Android"),isLinux:e.includes("Linux"),isMac:e.includes("Mac"),isWindows:e.includes("Win"),isFirefox:t.includes("Firefox")})}static get isCSSRoundSupported(){return shadow(this,"isCSSRoundSupported",globalThis.CSS?.supports?.("width: round(1.5px, 1px)"))}}const ga=Array.from(Array(256).keys(),(e=>e.toString(16).padStart(2,"0")));class Util{static makeHexColor(e,t,a){return`#${ga[e]}${ga[t]}${ga[a]}`}\
+static scaleMinMax(e,t){let a;if(e[0]){if(e[0]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[0];t[2]*=e[0];if(e[3]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[3];t[3]*=e[3]}else{a=t[0];t[0]=t[1];t[1]=a;a=t[2];t[2]=t[3];t[3]=a;if(e[1]<0){a=t[1];t[1]=t[3];t[3]=a}t[1]*=e[1];t[3]*=e[1];if(e[2]<0){a=t[0];t[0]=t[2];t[2]=a}t[0]*=e[2];t[2]*=e[2]}t[0]+=e[4];t[1]+=e[5];t[2]+=e[4];t[3]+=e[5]}static transform(e,t){return[e[0]*t[0]+e[2]*t[1],e[1]*t[0]+e[3]*t[1],e[0]*t[2]+e[2]*t[3],e[1]*t[2]+e[3]*t[3],e[0]*t[4]+e[2]*t[5]+e[4],e[\
+1]*t[4]+e[3]*t[5]+e[5]]}static applyTransform(e,t,a=0){const r=e[a],i=e[a+1];e[a]=r*t[0]+i*t[2]+t[4];e[a+1]=r*t[1]+i*t[3]+t[5]}static applyTransformToBezier(e,t,a=0){const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5];for(let t=0;t<6;t+=2){const l=e[a+t],h=e[a+t+1];e[a+t]=l*r+h*n+o;e[a+t+1]=l*i+h*s+c}}static applyInverseTransform(e,t){const a=e[0],r=e[1],i=t[0]*t[3]-t[1]*t[2];e[0]=(a*t[3]-r*t[2]+t[2]*t[5]-t[4]*t[3])/i;e[1]=(-a*t[1]+r*t[0]+t[4]*t[1]-t[5]*t[0])/i}static axialAlignedBoundingBox(e,t,a){\
+const r=t[0],i=t[1],n=t[2],s=t[3],o=t[4],c=t[5],l=e[0],h=e[1],u=e[2],d=e[3];let f=r*l+o,g=f,p=r*u+o,m=p,b=s*h+c,y=b,w=s*d+c,x=w;if(0!==i||0!==n){const e=i*l,t=i*u,a=n*h,r=n*d;f+=a;m+=a;p+=r;g+=r;b+=e;x+=e;w+=t;y+=t}a[0]=Math.min(a[0],f,p,g,m);a[1]=Math.min(a[1],b,w,y,x);a[2]=Math.max(a[2],f,p,g,m);a[3]=Math.max(a[3],b,w,y,x)}static inverseTransform(e){const t=e[0]*e[3]-e[1]*e[2];return[e[3]/t,-e[1]/t,-e[2]/t,e[0]/t,(e[2]*e[5]-e[4]*e[3])/t,(e[4]*e[1]-e[5]*e[0])/t]}static singularValueDecompose2dS\
+cale(e,t){const a=e[0],r=e[1],i=e[2],n=e[3],s=a**2+r**2,o=a*i+r*n,c=i**2+n**2,l=(s+c)/2,h=Math.sqrt(l**2-(s*c-o**2));t[0]=Math.sqrt(l+h||1);t[1]=Math.sqrt(l-h||1)}static normalizeRect(e){const t=e.slice(0);if(e[0]>e[2]){t[0]=e[2];t[2]=e[0]}if(e[1]>e[3]){t[1]=e[3];t[3]=e[1]}return t}static intersect(e,t){const a=Math.max(Math.min(e[0],e[2]),Math.min(t[0],t[2])),r=Math.min(Math.max(e[0],e[2]),Math.max(t[0],t[2]));if(a>r)return null;const i=Math.max(Math.min(e[1],e[3]),Math.min(t[1],t[3])),n=Math.m\
+in(Math.max(e[1],e[3]),Math.max(t[1],t[3]));return i>n?null:[a,i,r,n]}static pointBoundingBox(e,t,a){a[0]=Math.min(a[0],e);a[1]=Math.min(a[1],t);a[2]=Math.max(a[2],e);a[3]=Math.max(a[3],t)}static rectBoundingBox(e,t,a,r,i){i[0]=Math.min(i[0],e,a);i[1]=Math.min(i[1],t,r);i[2]=Math.max(i[2],e,a);i[3]=Math.max(i[3],t,r)}static#e(e,t,a,r,i,n,s,o,c,l){if(c<=0||c>=1)return;const h=1-c,u=c*c,d=u*c,f=h*(h*(h*e+3*c*t)+3*u*a)+d*r,g=h*(h*(h*i+3*c*n)+3*u*s)+d*o;l[0]=Math.min(l[0],f);l[1]=Math.min(l[1],g);l[\
+2]=Math.max(l[2],f);l[3]=Math.max(l[3],g)}static#t(e,t,a,r,i,n,s,o,c,l,h,u){if(Math.abs(c)<1e-12){Math.abs(l)>=1e-12&&this.#e(e,t,a,r,i,n,s,o,-h/l,u);return}const d=l**2-4*h*c;if(d<0)return;const f=Math.sqrt(d),g=2*c;this.#e(e,t,a,r,i,n,s,o,(-l+f)/g,u);this.#e(e,t,a,r,i,n,s,o,(-l-f)/g,u)}static bezierBoundingBox(e,t,a,r,i,n,s,o,c){c[0]=Math.min(c[0],e,s);c[1]=Math.min(c[1],t,o);c[2]=Math.max(c[2],e,s);c[3]=Math.max(c[3],t,o);this.#t(e,a,i,s,t,r,n,o,3*(3*(a-i)-e+s),6*(e-2*a+i),3*(a-e),c);this.#t(\
+e,a,i,s,t,r,n,o,3*(3*(r-n)-t+o),6*(t-2*r+n),3*(r-t),c)}}const pa=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,728,711,710,729,733,731,730,732,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8226,8224,8225,8230,8212,8211,402,8260,8249,8250,8722,8240,8222,8220,8221,8216,8217,8218,8482,64257,64258,321,338,352,376,381,305,322,339,353,382,0,8364];function\
+ stringToPDFString(e,t=!1){if(e[0]>="ï"){let a;if("þ"===e[0]&&"ÿ"===e[1]){a="utf-16be";e.length%2==1&&(e=e.slice(0,-1))}else if("ÿ"===e[0]&&"þ"===e[1]){a="utf-16le";e.length%2==1&&(e=e.slice(0,-1))}else"ï"===e[0]&&"»"===e[1]&&"¿"===e[2]&&(a="utf-8");if(a)try{const r=new TextDecoder(a,{fatal:!0}),i=stringToBytes(e),n=r.decode(i);return t||!n.includes("\x1B")?n:n.replaceAll(/\\x1b[^\\x1b]*(?:\\x1b|$)/g,"")}catch(e){warn(`stringToPDFString: "${e}".`)}}const a=[];for(let r=0,i=e.length;r<i;r++){const n=e.\
+charCodeAt(r);if(!t&&27===n){for(;++r<i&&27!==e.charCodeAt(r););continue}const s=pa[n];a.push(s?String.fromCharCode(s):e.charAt(r))}return a.join("")}function stringToUTF8String(e){return decodeURIComponent(escape(e))}function utf8StringToString(e){return unescape(encodeURIComponent(e))}function isArrayEqual(e,t){if(e.length!==t.length)return!1;for(let a=0,r=e.length;a<r;a++)if(e[a]!==t[a])return!1;return!0}function getModificationDate(e=new Date){e instanceof Date||(e=new Date(e));return[e.getU\
+TCFullYear().toString(),(e.getUTCMonth()+1).toString().padStart(2,"0"),e.getUTCDate().toString().padStart(2,"0"),e.getUTCHours().toString().padStart(2,"0"),e.getUTCMinutes().toString().padStart(2,"0"),e.getUTCSeconds().toString().padStart(2,"0")].join("")}let ma=null,ba=null;function MathClamp(e,t,a){return Math.min(Math.max(e,t),a)}function toHexUtil(e){return Uint8Array.prototype.toHex?e.toHex():Array.from(e,(e=>ga[e])).join("")}"function"!=typeof Promise.try&&(Promise.try=function(e,...t){ret\
+urn new Promise((a=>{a(e(...t))}))});"function"!=typeof Math.sumPrecise&&(Math.sumPrecise=function(e){return e.reduce(((e,t)=>e+t),0)});const ya=Symbol("CIRCULAR_REF"),wa=Symbol("EOF");let xa=Object.create(null),Sa=Object.create(null),Aa=Object.create(null);class Name{constructor(e){this.name=e}static get(e){return Sa[e]||=new Name(e)}}class Cmd{constructor(e){this.cmd=e}static get(e){return xa[e]||=new Cmd(e)}}const ka=function nonSerializableClosure(){return ka};class Dict{constructor(e=null){\
+this._map=new Map;this.xref=e;this.objId=null;this.suppressEncryption=!1;this.__nonSerializable__=ka}assignXref(e){this.xref=e}get size(){return this._map.size}get(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}return r instanceof Ref&&this.xref?this.xref.fetch(r,this.suppressEncryption):r}async getAsync(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))\
+}return r instanceof Ref&&this.xref?this.xref.fetchAsync(r,this.suppressEncryption):r}getArray(e,t,a){let r=this._map.get(e);if(void 0===r&&void 0!==t){r=this._map.get(t);void 0===r&&void 0!==a&&(r=this._map.get(a))}r instanceof Ref&&this.xref&&(r=this.xref.fetch(r,this.suppressEncryption));if(Array.isArray(r)){r=r.slice();for(let e=0,t=r.length;e<t;e++)r[e]instanceof Ref&&this.xref&&(r[e]=this.xref.fetch(r[e],this.suppressEncryption))}return r}getRaw(e){return this._map.get(e)}getKeys(){return[\
+...this._map.keys()]}getRawValues(){return[...this._map.values()]}set(e,t){this._map.set(e,t)}setIfNotExists(e,t){this.has(e)||this.set(e,t)}setIfNumber(e,t){"number"==typeof t&&this.set(e,t)}setIfArray(e,t){(Array.isArray(t)||ArrayBuffer.isView(t))&&this.set(e,t)}setIfDefined(e,t){null!=t&&this.set(e,t)}setIfName(e,t){"string"==typeof t?this.set(e,Name.get(t)):t instanceof Name&&this.set(e,t)}has(e){return this._map.has(e)}*[Symbol.iterator](){for(const[e,t]of this._map)yield[e,t instanceof Ref\
+&&this.xref?this.xref.fetch(t,this.suppressEncryption):t]}static get empty(){const e=new Dict(null);e.set=(e,t)=>{unreachable("Should not call `set` on the empty dictionary.")};return shadow(this,"empty",e)}static merge({xref:e,dictArray:t,mergeSubDicts:a=!1}){const r=new Dict(e),i=new Map;for(const e of t)if(e instanceof Dict)for(const[t,r]of e._map){let e=i.get(t);if(void 0===e){e=[];i.set(t,e)}else if(!(a&&r instanceof Dict))continue;e.push(r)}for(const[t,a]of i){if(1===a.length||!(a[0]instan\
+ceof Dict)){r._map.set(t,a[0]);continue}const i=new Dict(e);for(const e of a)for(const[t,a]of e._map)i._map.has(t)||i._map.set(t,a);i.size>0&&r._map.set(t,i)}i.clear();return r.size>0?r:Dict.empty}clone(){const e=new Dict(this.xref);for(const t of this.getKeys())e.set(t,this.getRaw(t));return e}delete(e){delete this._map[e]}}class Ref{constructor(e,t){this.num=e;this.gen=t}toString(){return 0===this.gen?`${this.num}R`:`${this.num}R${this.gen}`}static fromString(e){const t=Aa[e];if(t)return t;con\
+st a=/^(\\d+)R(\\d*)$/.exec(e);return a&&"0"!==a[1]?Aa[e]=new Ref(parseInt(a[1]),a[2]?parseInt(a[2]):0):null}static get(e,t){const a=0===t?`${e}R`:`${e}R${t}`;return Aa[a]||=new Ref(e,t)}}class RefSet{constructor(e=null){this._set=new Set(e?._set)}has(e){return this._set.has(e.toString())}put(e){this._set.add(e.toString())}remove(e){this._set.delete(e.toString())}[Symbol.iterator](){return this._set.values()}clear(){this._set.clear()}}class RefSetCache{constructor(){this._map=new Map}get size(){re\
+turn this._map.size}get(e){return this._map.get(e.toString())}has(e){return this._map.has(e.toString())}put(e,t){this._map.set(e.toString(),t)}putAlias(e,t){this._map.set(e.toString(),this.get(t))}[Symbol.iterator](){return this._map.values()}clear(){this._map.clear()}*values(){yield*this._map.values()}*items(){for(const[e,t]of this._map)yield[Ref.fromString(e),t]}}function isName(e,t){return e instanceof Name&&(void 0===t||e.name===t)}function isCmd(e,t){return e instanceof Cmd&&(void 0===t||e.\
+cmd===t)}function isDict(e,t){return e instanceof Dict&&(void 0===t||isName(e.get("Type"),t))}function isRefsEqual(e,t){return e.num===t.num&&e.gen===t.gen}class BaseStream{get length(){unreachable("Abstract getter `length` accessed")}get isEmpty(){unreachable("Abstract getter `isEmpty` accessed")}get isDataLoaded(){return shadow(this,"isDataLoaded",!0)}getByte(){unreachable("Abstract method `getByte` called")}getBytes(e){unreachable("Abstract method `getBytes` called")}async getImageData(e,t){r\
+eturn this.getBytes(e,t)}async asyncGetBytes(){unreachable("Abstract method `asyncGetBytes` called")}get isAsync(){return!1}get isAsyncDecoder(){return!1}get canAsyncDecodeImageFromBuffer(){return!1}async getTransferableImage(){return null}peekByte(){const e=this.getByte();-1!==e&&this.pos--;return e}peekBytes(e){const t=this.getBytes(e);this.pos-=t.length;return t}getUint16(){const e=this.getByte(),t=this.getByte();return-1===e||-1===t?-1:(e<<8)+t}getInt32(){return(this.getByte()<<24)+(this.get\
+Byte()<<16)+(this.getByte()<<8)+this.getByte()}getByteRange(e,t){unreachable("Abstract method `getByteRange` called")}getString(e){return bytesToString(this.getBytes(e))}skip(e){this.pos+=e||1}reset(){unreachable("Abstract method `reset` called")}moveStart(){unreachable("Abstract method `moveStart` called")}makeSubStream(e,t,a=null){unreachable("Abstract method `makeSubStream` called")}getBaseStreams(){return null}}const Ca=/^[1-9]\\.\\d$/,va=2**31-1,Fa=[1,0,0,1,0,0],Ia=["ColorSpace","ExtGState","\
+Font","Pattern","Properties","Shading","XObject"],Ta=["ExtGState","Font","Properties","XObject"];function getLookupTableFactory(e){let t;return function(){if(e){t=Object.create(null);e(t);e=null}return t}}class MissingDataException extends fa{constructor(e,t){super(`Missing data [${e}, ${t})`,"MissingDataException");this.begin=e;this.end=t}}class ParserEOFException extends fa{constructor(e){super(e,"ParserEOFException")}}class XRefEntryException extends fa{constructor(e){super(e,"XRefEntryExcept\
+ion")}}class XRefParseException extends fa{constructor(e){super(e,"XRefParseException")}}function arrayBuffersToBytes(e){const t=e.length;if(0===t)return new Uint8Array(0);if(1===t)return new Uint8Array(e[0]);let a=0;for(let r=0;r<t;r++)a+=e[r].byteLength;const r=new Uint8Array(a);let i=0;for(let a=0;a<t;a++){const t=new Uint8Array(e[a]);r.set(t,i);i+=t.byteLength}return r}async function fetchBinaryData(e){const t=await fetch(e);if(!t.ok)throw new Error(`Failed to fetch file "${e}" with "${t.sta\
+tusText}".`);return new Uint8Array(await t.arrayBuffer())}function getInheritableProperty({dict:e,key:t,getArray:a=!1,stopWhenFound:r=!0}){let i;const n=new RefSet;for(;e instanceof Dict&&(!e.objId||!n.has(e.objId));){e.objId&&n.put(e.objId);const s=a?e.getArray(t):e.get(t);if(void 0!==s){if(r)return s;(i||=[]).push(s)}e=e.get("Parent")}return i}const Oa=["","C","CC","CCC","CD","D","DC","DCC","DCCC","CM","","X","XX","XXX","XL","L","LX","LXX","LXXX","XC","","I","II","III","IV","V","VI","VII","VII\
+I","IX"];function toRomanNumerals(e,t=!1){assert(Number.isInteger(e)&&e>0,"The number should be a positive integer.");const a="M".repeat(e/1e3|0)+Oa[e%1e3/100|0]+Oa[10+(e%100/10|0)]+Oa[20+e%10];return t?a.toLowerCase():a}function log2(e){return e>0?Math.ceil(Math.log2(e)):0}function readInt8(e,t){return e[t]<<24>>24}function readInt16(e,t){return(e[t]<<24|e[t+1]<<16)>>16}function readUint16(e,t){return e[t]<<8|e[t+1]}function readUint32(e,t){return(e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3])>>>0}funct\
+ion isWhiteSpace(e){return 32===e||9===e||13===e||10===e}function isNumberArray(e,t){return Array.isArray(e)?(null===t||e.length===t)&&e.every((e=>"number"==typeof e)):ArrayBuffer.isView(e)&&!(e instanceof BigInt64Array||e instanceof BigUint64Array)&&(null===t||e.length===t)}function lookupMatrix(e,t){return isNumberArray(e,6)?e:t}function lookupRect(e,t){return isNumberArray(e,4)?e:t}function lookupNormalRect(e,t){return isNumberArray(e,4)?Util.normalizeRect(e):t}function parseXFAPath(e){const \
+t=/(.+)\\[(\\d+)\\]$/;return e.split(".").map((e=>{const a=e.match(t);return a?{name:a[1],pos:parseInt(a[2],10)}:{name:e,pos:0}}))}function escapePDFName(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.charCodeAt(r);if(i<33||i>126||35===i||40===i||41===i||60===i||62===i||91===i||93===i||123===i||125===i||47===i||37===i){a<r&&t.push(e.substring(a,r));t.push(`#${i.toString(16)}`);a=r+1}}if(0===t.length)return e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function esc\
+apeString(e){return e.replaceAll(/([()\\\\\\n\\r])/g,(e=>"\\n"===e?"\\\\n":"\\r"===e?"\\\\r":`\\\\${e}`))}function _collectJS(e,t,a,r){if(!e)return;let i=null;if(e instanceof Ref){if(r.has(e))return;i=e;r.put(i);e=t.fetch(e)}if(Array.isArray(e))for(const i of e)_collectJS(i,t,a,r);else if(e instanceof Dict){if(isName(e.get("S"),"JavaScript")){const t=e.get("JS");let r;t instanceof BaseStream?r=t.getString():"string"==typeof t&&(r=t);r&&=stringToPDFString(r,!0).replaceAll("\\0","");r&&a.push(r.trim())}_collec\
+tJS(e.getRaw("Next"),t,a,r)}i&&r.remove(i)}function collectActions(e,t,a){const r=Object.create(null),i=getInheritableProperty({dict:t,key:"AA",stopWhenFound:!1});if(i)for(let t=i.length-1;t>=0;t--){const n=i[t];if(n instanceof Dict)for(const t of n.getKeys()){const i=a[t];if(!i)continue;const s=[];_collectJS(n.getRaw(t),e,s,new RefSet);s.length>0&&(r[i]=s)}}if(t.has("A")){const a=[];_collectJS(t.get("A"),e,a,new RefSet);a.length>0&&(r.Action=a)}return objectSize(r)>0?r:null}const Ma={60:"&lt;",\
+62:"&gt;",38:"&amp;",34:"&quot;",39:"&apos;"};function*codePointIter(e){for(let t=0,a=e.length;t<a;t++){const a=e.codePointAt(t);a>55295&&(a<57344||a>65533)&&t++;yield a}}function encodeToXmlString(e){const t=[];let a=0;for(let r=0,i=e.length;r<i;r++){const i=e.codePointAt(r);if(32<=i&&i<=126){const n=Ma[i];if(n){a<r&&t.push(e.substring(a,r));t.push(n);a=r+1}}else{a<r&&t.push(e.substring(a,r));t.push(`&#x${i.toString(16).toUpperCase()};`);i>55295&&(i<57344||i>65533)&&r++;a=r+1}}if(0===t.length)r\
+eturn e;a<e.length&&t.push(e.substring(a,e.length));return t.join("")}function validateFontName(e,t=!1){const a=/^("|\').*("|\')$/.exec(e);if(a&&a[1]===a[2]){if(new RegExp(`[^\\\\\\\\]${a[1]}`).test(e.slice(1,-1))){t&&warn(`FontFamily contains unescaped ${a[1]}: ${e}.`);return!1}}else for(const a of e.split(/[ \\t]+/))if(/^(\\d|(-(\\d|-)))/.test(a)||!/^[\\w-\\\\]+$/.test(a)){t&&warn(`FontFamily contains invalid <custom-ident>: ${e}.`);return!1}return!0}function validateCSSFont(e){const t=new Set(["100","200\
+","300","400","500","600","700","800","900","1000","normal","bold","bolder","lighter"]),{fontFamily:a,fontWeight:r,italicAngle:i}=e;if(!validateFontName(a,!0))return!1;const n=r?r.toString():"";e.fontWeight=t.has(n)?n:"400";const s=parseFloat(i);e.italicAngle=isNaN(s)||s<-90||s>90?"14":i.toString();return!0}function recoverJsURL(e){const t=new RegExp("^\\\\s*("+["app.launchURL","window.open","xfa.host.gotoURL"].join("|").replaceAll(".","\\\\.")+")\\\\((?:\'|\\")([^\'\\"]*)(?:\'|\\")(?:,\\\\s*(\\\\w+)\\\\)|\\\\))","\
+i").exec(e);return t?.[2]?{url:t[2],newWindow:"app.launchURL"===t[1]&&"true"===t[3]}:null}function numberToString(e){if(Number.isInteger(e))return e.toString();const t=Math.round(100*e);return t%100==0?(t/100).toString():t%10==0?e.toFixed(1):e.toFixed(2)}function getNewAnnotationsMap(e){if(!e)return null;const t=new Map;for(const[a,r]of e){if(!a.startsWith(f))continue;let e=t.get(r.pageIndex);if(!e){e=[];t.set(r.pageIndex,e)}e.push(r)}return t.size>0?t:null}function stringToAsciiOrUTF16BE(e){ret\
+urn null==e||function isAscii(e){if("string"!=typeof e)return!1;return!e||/^[\\x00-\\x7F]*$/.test(e)}(e)?e:stringToUTF16String(e,!0)}function stringToUTF16HexString(e){const t=[];for(let a=0,r=e.length;a<r;a++){const r=e.charCodeAt(a);t.push(ga[r>>8&255],ga[255&r])}return t.join("")}function stringToUTF16String(e,t=!1){const a=[];t&&a.push("þÿ");for(let t=0,r=e.length;t<r;t++){const r=e.charCodeAt(t);a.push(String.fromCharCode(r>>8&255),String.fromCharCode(255&r))}return a.join("")}function getRot\
+ationMatrix(e,t,a){switch(e){case 90:return[0,1,-1,0,t,0];case 180:return[-1,0,0,-1,t,a];case 270:return[0,-1,1,0,0,a];default:throw new Error("Invalid rotation")}}function getSizeInBytes(e){return Math.ceil(Math.ceil(Math.log2(1+e))/8)}class QCMS{static#a=null;static _memory=null;static _mustAddAlpha=!1;static _destBuffer=null;static _destOffset=0;static _destLength=0;static _cssColor="";static _makeHexColor=null;static get _memoryArray(){const e=this.#a;return e?.byteLength?e:this.#a=new Uint8\
+Array(this._memory.buffer)}}let Da;const Ba="undefined"!=typeof TextDecoder?new TextDecoder("utf-8",{ignoreBOM:!0,fatal:!0}):{decode:()=>{throw Error("TextDecoder not available")}};"undefined"!=typeof TextDecoder&&Ba.decode();let Ra=null;function getUint8ArrayMemory0(){null!==Ra&&0!==Ra.byteLength||(Ra=new Uint8Array(Da.memory.buffer));return Ra}let Na=0;function passArray8ToWasm0(e,t){const a=t(1*e.length,1)>>>0;getUint8ArrayMemory0().set(e,a/1);Na=e.length;return a}const Ea=Object.freeze({RGB8\
+:0,0:"RGB8",RGBA8:1,1:"RGBA8",BGRA8:2,2:"BGRA8",Gray8:3,3:"Gray8",GrayA8:4,4:"GrayA8",CMYK:5,5:"CMYK"}),Pa=Object.freeze({Perceptual:0,0:"Perceptual",RelativeColorimetric:1,1:"RelativeColorimetric",Saturation:2,2:"Saturation",AbsoluteColorimetric:3,3:"AbsoluteColorimetric"});function __wbg_get_imports(){const e={wbg:{}};e.wbg.__wbg_copyresult_b08ee7d273f295dd=function(e,t){!function copy_result(e,t){const{_mustAddAlpha:a,_destBuffer:r,_destOffset:i,_destLength:n,_memoryArray:s}=QCMS;if(t!==n)if(\
+a)for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2];r[o+3]=255}else for(let a=e,n=e+t,o=i;a<n;a+=3,o+=4){r[o]=s[a];r[o+1]=s[a+1];r[o+2]=s[a+2]}else r.set(s.subarray(e,e+t),i)}(e>>>0,t>>>0)};e.wbg.__wbg_copyrgb_d60ce17bb05d9b67=function(e){!function copy_rgb(e){const{_destBuffer:t,_destOffset:a,_memoryArray:r}=QCMS;t[a]=r[e];t[a+1]=r[e+1];t[a+2]=r[e+2]}(e>>>0)};e.wbg.__wbg_makecssRGB_893bf0cd9fdb302d=function(e){!function make_cssRGB(e){const{_memoryArray:t}=QCMS;QCMS._cs\
+sColor=QCMS._makeHexColor(t[e],t[e+1],t[e+2])}(e>>>0)};e.wbg.__wbindgen_init_externref_table=function(){const e=Da.__wbindgen_export_0,t=e.grow(4);e.set(0,void 0);e.set(t+0,void 0);e.set(t+1,null);e.set(t+2,!0);e.set(t+3,!1)};e.wbg.__wbindgen_throw=function(e,t){throw new Error(function getStringFromWasm0(e,t){e>>>=0;return Ba.decode(getUint8ArrayMemory0().subarray(e,e+t))}(e,t))};return e}function __wbg_finalize_init(e,t){Da=e.exports;__wbg_init.__wbindgen_wasm_module=t;Ra=null;Da.__wbindgen_st\
+art();return Da}async function __wbg_init(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module_or_path:e}=e):console.warn("using deprecated parameters for the initialization function; pass a single object instead"));const t=__wbg_get_imports();("string"==typeof e||"function"==typeof Request&&e instanceof Request||"function"==typeof URL&&e instanceof URL)&&(e=fetch(e));const{instance:a,module:r}=await async function __wbg_load(e,t){if("function"==typeof Re\
+sponse&&e instanceof Response){if("function"==typeof WebAssembly.instantiateStreaming)try{return await WebAssembly.instantiateStreaming(e,t)}catch(t){if("application/wasm"==e.headers.get("Content-Type"))throw t;console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\\n",t)}const a=await e.arrayBuffer();return await WebAssembly.instantiate(a,t)}{cons\
+t a=await WebAssembly.instantiate(e,t);return a instanceof WebAssembly.Instance?{instance:a,module:e}:a}}(await e,t);return __wbg_finalize_init(a,r)}class ColorSpace{static#r=new Uint8ClampedArray(3);constructor(e,t){this.name=e;this.numComps=t}getRgb(e,t,a=new Uint8ClampedArray(3)){this.getRgbItem(e,t,a,0);return a}getRgbHex(e,t){const a=this.getRgb(e,t,ColorSpace.#r);return Util.makeHexColor(a[0],a[1],a[2])}getRgbItem(e,t,a,r){unreachable("Should not call ColorSpace.getRgbItem")}getRgbBuffer(e\
+,t,a,r,i,n,s){unreachable("Should not call ColorSpace.getRgbBuffer")}getOutputLength(e,t){unreachable("Should not call ColorSpace.getOutputLength")}isPassthrough(e){return!1}isDefaultDecode(e,t){return ColorSpace.isDefaultDecode(e,this.numComps)}fillRgb(e,t,a,r,i,n,s,o,c){const l=t*a;let h=null;const u=1<<s,d=a!==i||t!==r;if(this.isPassthrough(s))h=o;else if(1===this.numComps&&l>u&&"DeviceGray"!==this.name&&"DeviceRGB"!==this.name){const t=s<=8?new Uint8Array(u):new Uint16Array(u);for(let e=0;e<\
+u;e++)t[e]=e;const a=new Uint8ClampedArray(3*u);this.getRgbBuffer(t,0,u,a,0,s,0);if(d){h=new Uint8Array(3*l);let e=0;for(let t=0;t<l;++t){const r=3*o[t];h[e++]=a[r];h[e++]=a[r+1];h[e++]=a[r+2]}}else{let t=0;for(let r=0;r<l;++r){const i=3*o[r];e[t++]=a[i];e[t++]=a[i+1];e[t++]=a[i+2];t+=c}}}else if(d){h=new Uint8ClampedArray(3*l);this.getRgbBuffer(o,0,l,h,0,s,0)}else this.getRgbBuffer(o,0,r*n,e,0,s,c);if(h)if(d)!function resizeRgbImage(e,t,a,r,i,n,s){s=1!==s?0:s;const o=a/i,c=r/n;let l,h=0;const u\
+=new Uint16Array(i),d=3*a;for(let e=0;e<i;e++)u[e]=3*Math.floor(e*o);for(let a=0;a<n;a++){const r=Math.floor(a*c)*d;for(let a=0;a<i;a++){l=r+u[a];t[h++]=e[l++];t[h++]=e[l++];t[h++]=e[l++];h+=s}}}(h,e,t,a,r,i,c);else{let t=0,a=0;for(let i=0,s=r*n;i<s;i++){e[t++]=h[a++];e[t++]=h[a++];e[t++]=h[a++];t+=c}}}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!0)}static isDefaultDecode(e,t){if(!Array.isArray(e))return!0;if(2*t!==e.length){warn("The decode map is not the correct length");r\
+eturn!0}for(let t=0,a=e.length;t<a;t+=2)if(0!==e[t]||1!==e[t+1])return!1;return!0}}class AlternateCS extends ColorSpace{constructor(e,t,a){super("Alternate",e);this.base=t;this.tintFn=a;this.tmpBuf=new Float32Array(t.numComps)}getRgbItem(e,t,a,r){const i=this.tmpBuf;this.tintFn(e,t,i,0);this.base.getRgbItem(i,0,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=this.tintFn,c=this.base,l=1/((1<<n)-1),h=c.numComps,u=c.usesZeroToOneRange,d=(c.isPassthrough(8)||!u)&&0===s;let f=d?i:0;const g=d?r:new Uint8Clam\
+pedArray(h*a),p=this.numComps,m=new Float32Array(p),b=new Float32Array(h);let y,w;for(y=0;y<a;y++){for(w=0;w<p;w++)m[w]=e[t++]*l;o(m,0,b,0);if(u)for(w=0;w<h;w++)g[f++]=255*b[w];else{c.getRgbItem(b,0,g,f);f+=h}}d||c.getRgbBuffer(g,0,a,r,i,8,s)}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps/this.numComps,t)}}class PatternCS extends ColorSpace{constructor(e){super("Pattern",null);this.base=e}isDefaultDecode(e,t){unreachable("Should not call PatternCS.isDefaultDecode")}}c\
+lass IndexedCS extends ColorSpace{constructor(e,t,a){super("Indexed",1);this.base=e;this.highVal=t;const r=e.numComps*(t+1);this.lookup=new Uint8Array(r);if(a instanceof BaseStream){const e=a.getBytes(r);this.lookup.set(e)}else{if("string"!=typeof a)throw new FormatError(`IndexedCS - unrecognized lookup table: ${a}`);for(let e=0;e<r;++e)this.lookup[e]=255&a.charCodeAt(e)}}getRgbItem(e,t,a,r){const{base:i,highVal:n,lookup:s}=this,o=MathClamp(Math.round(e[t]),0,n)*i.numComps;i.getRgbBuffer(s,o,1,a\
+,r,8,0)}getRgbBuffer(e,t,a,r,i,n,s){const{base:o,highVal:c,lookup:l}=this,{numComps:h}=o,u=o.getOutputLength(h,s);for(let n=0;n<a;++n){const a=MathClamp(Math.round(e[t++]),0,c)*h;o.getRgbBuffer(l,a,1,r,i,8,s);i+=u}}getOutputLength(e,t){return this.base.getOutputLength(e*this.base.numComps,t)}isDefaultDecode(e,t){if(!Array.isArray(e))return!0;if(2!==e.length){warn("Decode map length is not correct");return!0}if(!Number.isInteger(t)||t<1){warn("Bits per component is not correct");return!0}return 0\
+===e[0]&&e[1]===(1<<t)-1}}class DeviceGrayCS extends ColorSpace{constructor(){super("DeviceGray",1)}getRgbItem(e,t,a,r){const i=255*e[t];a[r]=a[r+1]=a[r+2]=i}getRgbBuffer(e,t,a,r,i,n,s){const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){const t=o*e[c++];r[l++]=t;r[l++]=t;r[l++]=t;l+=s}}getOutputLength(e,t){return e*(3+t)}}class DeviceRgbCS extends ColorSpace{constructor(){super("DeviceRGB",3)}getRgbItem(e,t,a,r){a[r]=255*e[t];a[r+1]=255*e[t+1];a[r+2]=255*e[t+2]}getRgbBuffer(e,t,a,r,i,n,s){i\
+f(8===n&&0===s){r.set(e.subarray(t,t+3*a),i);return}const o=255/((1<<n)-1);let c=t,l=i;for(let t=0;t<a;++t){r[l++]=o*e[c++];r[l++]=o*e[c++];r[l++]=o*e[c++];l+=s}}getOutputLength(e,t){return e*(3+t)/3|0}isPassthrough(e){return 8===e}}class DeviceRgbaCS extends ColorSpace{constructor(){super("DeviceRGBA",4)}getOutputLength(e,t){return 4*e}isPassthrough(e){return 8===e}fillRgb(e,t,a,r,i,n,s,o,c){a!==i||t!==r?function resizeRgbaImage(e,t,a,r,i,n,s){const o=a/i,c=r/n;let l=0;const h=new Uint16Array(i\
+);if(1===s){for(let e=0;e<i;e++)h[e]=Math.floor(e*o);const r=new Uint32Array(e.buffer),s=new Uint32Array(t.buffer),u=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0;e<n;e++){const t=r.subarray(Math.floor(e*c)*a);for(let e=0;e<i;e++)s[l++]|=t[h[e]]&u}}else{const r=4,s=a*r;for(let e=0;e<i;e++)h[e]=Math.floor(e*o)*r;for(let a=0;a<n;a++){const r=e.subarray(Math.floor(a*c)*s);for(let e=0;e<i;e++){const a=h[e];t[l++]=r[a];t[l++]=r[a+1];t[l++]=r[a+2]}}}}(o,e,t,a,r,i,c):function copyRgbaImage\
+(e,t,a){if(1===a){const a=new Uint32Array(e.buffer),r=new Uint32Array(t.buffer),i=FeatureTest.isLittleEndian?16777215:4294967040;for(let e=0,t=a.length;e<t;e++)r[e]|=a[e]&i}else{let a=0;for(let r=0,i=e.length;r<i;r+=4){t[a++]=e[r];t[a++]=e[r+1];t[a++]=e[r+2]}}}(o,e,c)}}class DeviceCmykCS extends ColorSpace{constructor(){super("DeviceCMYK",4)}#i(e,t,a,r,i){const n=e[t]*a,s=e[t+1]*a,o=e[t+2]*a,c=e[t+3]*a;r[i]=255+n*(-4.387332384609988*n+54.48615194189176*s+18.82290502165302*o+212.25662451639585*c-\
+285.2331026137004)+s*(1.7149763477362134*s-5.6096736904047315*o+-17.873870861415444*c-5.497006427196366)+o*(-2.5217340131683033*o-21.248923337353073*c+17.5119270841813)+c*(-21.86122147463605*c-189.48180835922747);r[i+1]=255+n*(8.841041422036149*n+60.118027045597366*s+6.871425592049007*o+31.159100130055922*c-79.2970844816548)+s*(-15.310361306967817*s+17.575251261109482*o+131.35250912493976*c-190.9453302588951)+o*(4.444339102852739*o+9.8632861493405*c-24.86741582555878)+c*(-20.737325471181034*c-18\
+7.80453709719578);r[i+2]=255+n*(.8842522430003296*n+8.078677503112928*s+30.89978309703729*o-.23883238689178934*c-14.183576799673286)+s*(10.49593273432072*s+63.02378494754052*o+50.606957656360734*c-112.23884253719248)+o*(.03296041114873217*o+115.60384449646641*c-193.58209356861505)+c*(-22.33816807309886*c-180.12613974708367)}getRgbItem(e,t,a,r){this.#i(e,t,1,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=4;i+=3+s}}getOutputLength(e,t){return e/4*(\
+3+t)|0}}class CalGrayCS extends ColorSpace{constructor(e,t,a){super("CalGray",1);if(!e)throw new FormatError("WhitePoint missing - required for color space CalGray");[this.XW,this.YW,this.ZW]=e;[this.XB,this.YB,this.ZB]=t||[0,0,0];this.G=a||1;if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError(`Invalid WhitePoint components for ${this.name}, no fallback available`);if(this.XB<0||this.YB<0||this.ZB<0){info(`Invalid BlackPoint for ${this.name}, falling back to default.`);this.XB=this.YB=thi\
+s.ZB=0}0===this.XB&&0===this.YB&&0===this.ZB||warn(`${this.name}, BlackPoint: XB: ${this.XB}, YB: ${this.YB}, ZB: ${this.ZB}, only default values are supported.`);if(this.G<1){info(`Invalid Gamma: ${this.G} for ${this.name}, falling back to default.`);this.G=1}}#i(e,t,a,r,i){const n=(e[t]*i)**this.G,s=this.YW*n,o=Math.max(295.8*s**.3333333333333333-40.8,0);a[r]=o;a[r+1]=o;a[r+2]=o}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;++n){this.#i\
+(e,t,r,i,o);t+=1;i+=3+s}}getOutputLength(e,t){return e*(3+t)}}class CalRGBCS extends ColorSpace{static#n=new Float32Array([.8951,.2664,-.1614,-.7502,1.7135,.0367,.0389,-.0685,1.0296]);static#s=new Float32Array([.9869929,-.1470543,.1599627,.4323053,.5183603,.0492912,-.0085287,.0400428,.9684867]);static#o=new Float32Array([3.2404542,-1.5371385,-.4985314,-.969266,1.8760108,.041556,.0556434,-.2040259,1.0572252]);static#c=new Float32Array([1,1,1]);static#l=new Float32Array(3);static#h=new Float32Arra\
+y(3);static#u=new Float32Array(3);static#d=(24/116)**3/8;constructor(e,t,a,r){super("CalRGB",3);if(!e)throw new FormatError("WhitePoint missing - required for color space CalRGB");const[i,n,s]=this.whitePoint=e,[o,c,l]=this.blackPoint=t||new Float32Array(3);[this.GR,this.GG,this.GB]=a||new Float32Array([1,1,1]);[this.MXA,this.MYA,this.MZA,this.MXB,this.MYB,this.MZB,this.MXC,this.MYC,this.MZC]=r||new Float32Array([1,0,0,0,1,0,0,0,1]);if(i<0||s<0||1!==n)throw new FormatError(`Invalid WhitePoint co\
+mponents for ${this.name}, no fallback available`);if(o<0||c<0||l<0){info(`Invalid BlackPoint for ${this.name} [${o}, ${c}, ${l}], falling back to default.`);this.blackPoint=new Float32Array(3)}if(this.GR<0||this.GG<0||this.GB<0){info(`Invalid Gamma [${this.GR}, ${this.GG}, ${this.GB}] for ${this.name}, falling back to default.`);this.GR=this.GG=this.GB=1}}#f(e,t,a){a[0]=e[0]*t[0]+e[1]*t[1]+e[2]*t[2];a[1]=e[3]*t[0]+e[4]*t[1]+e[5]*t[2];a[2]=e[6]*t[0]+e[7]*t[1]+e[8]*t[2]}#g(e,t,a){a[0]=1*t[0]/e[0]\
+;a[1]=1*t[1]/e[1];a[2]=1*t[2]/e[2]}#p(e,t,a){a[0]=.95047*t[0]/e[0];a[1]=1*t[1]/e[1];a[2]=1.08883*t[2]/e[2]}#m(e){return e<=.0031308?MathClamp(12.92*e,0,1):e>=.99554525?1:MathClamp(1.055*e**(1/2.4)-.055,0,1)}#b(e){return e<0?-this.#b(-e):e>8?((e+16)/116)**3:e*CalRGBCS.#d}#y(e,t,a){if(0===e[0]&&0===e[1]&&0===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=this.#b(0),i=(1-r)/(1-this.#b(e[0])),n=1-i,s=(1-r)/(1-this.#b(e[1])),o=1-s,c=(1-r)/(1-this.#b(e[2])),l=1-c;a[0]=t[0]*i+n;a[1]=t[1]*s+o;a[2]=t\
+[2]*c+l}#w(e,t,a){if(1===e[0]&&1===e[2]){a[0]=t[0];a[1]=t[1];a[2]=t[2];return}const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#g(e,r,i);this.#f(CalRGBCS.#s,i,a)}#x(e,t,a){const r=a;this.#f(CalRGBCS.#n,t,r);const i=CalRGBCS.#l;this.#p(e,r,i);this.#f(CalRGBCS.#s,i,a)}#i(e,t,a,r,i){const n=MathClamp(e[t]*i,0,1),s=MathClamp(e[t+1]*i,0,1),o=MathClamp(e[t+2]*i,0,1),c=1===n?1:n**this.GR,l=1===s?1:s**this.GG,h=1===o?1:o**this.GB,u=this.MXA*c+this.MXB*l+this.MXC*h,d=this.MYA*c+this.MYB*l+this\
+.MYC*h,f=this.MZA*c+this.MZB*l+this.MZC*h,g=CalRGBCS.#h;g[0]=u;g[1]=d;g[2]=f;const p=CalRGBCS.#u;this.#w(this.whitePoint,g,p);const m=CalRGBCS.#h;this.#y(this.blackPoint,p,m);const b=CalRGBCS.#u;this.#x(CalRGBCS.#c,m,b);const y=CalRGBCS.#h;this.#f(CalRGBCS.#o,b,y);a[r]=255*this.#m(y[0]);a[r+1]=255*this.#m(y[1]);a[r+2]=255*this.#m(y[2])}getRgbItem(e,t,a,r){this.#i(e,t,a,r,1)}getRgbBuffer(e,t,a,r,i,n,s){const o=1/((1<<n)-1);for(let n=0;n<a;++n){this.#i(e,t,r,i,o);t+=3;i+=3+s}}getOutputLength(e,t){\
+return e*(3+t)/3|0}}class LabCS extends ColorSpace{constructor(e,t,a){super("Lab",3);if(!e)throw new FormatError("WhitePoint missing - required for color space Lab");[this.XW,this.YW,this.ZW]=e;[this.amin,this.amax,this.bmin,this.bmax]=a||[-100,100,-100,100];[this.XB,this.YB,this.ZB]=t||[0,0,0];if(this.XW<0||this.ZW<0||1!==this.YW)throw new FormatError("Invalid WhitePoint components, no fallback available");if(this.XB<0||this.YB<0||this.ZB<0){info("Invalid BlackPoint, falling back to default");t\
+his.XB=this.YB=this.ZB=0}if(this.amin>this.amax||this.bmin>this.bmax){info("Invalid Range, falling back to defaults");this.amin=-100;this.amax=100;this.bmin=-100;this.bmax=100}}#S(e){return e>=6/29?e**3:108/841*(e-4/29)}#A(e,t,a,r){return a+e*(r-a)/t}#i(e,t,a,r,i){let n=e[t],s=e[t+1],o=e[t+2];if(!1!==a){n=this.#A(n,a,0,100);s=this.#A(s,a,this.amin,this.amax);o=this.#A(o,a,this.bmin,this.bmax)}s>this.amax?s=this.amax:s<this.amin&&(s=this.amin);o>this.bmax?o=this.bmax:o<this.bmin&&(o=this.bmin);co\
+nst c=(n+16)/116,l=c+s/500,h=c-o/200,u=this.XW*this.#S(l),d=this.YW*this.#S(c),f=this.ZW*this.#S(h);let g,p,m;if(this.ZW<1){g=3.1339*u+-1.617*d+-.4906*f;p=-.9785*u+1.916*d+.0333*f;m=.072*u+-.229*d+1.4057*f}else{g=3.2406*u+-1.5372*d+-.4986*f;p=-.9689*u+1.8758*d+.0415*f;m=.0557*u+-.204*d+1.057*f}r[i]=255*Math.sqrt(g);r[i+1]=255*Math.sqrt(p);r[i+2]=255*Math.sqrt(m)}getRgbItem(e,t,a,r){this.#i(e,t,!1,a,r)}getRgbBuffer(e,t,a,r,i,n,s){const o=(1<<n)-1;for(let n=0;n<a;n++){this.#i(e,t,o,r,i);t+=3;i+=3+\
+s}}getOutputLength(e,t){return e*(3+t)/3|0}isDefaultDecode(e,t){return!0}get usesZeroToOneRange(){return shadow(this,"usesZeroToOneRange",!1)}}function fetchSync(e){const t=new XMLHttpRequest;t.open("GET",e,!1);t.responseType="arraybuffer";t.send(null);return t.response}class IccColorSpace extends ColorSpace{#k;#C;static#v=!0;static#F=null;static#I=new FinalizationRegistry((e=>{!function qcms_drop_transformer(e){Da.qcms_drop_transformer(e)}(e)}));constructor(e,t,a){if(!IccColorSpace.isUsable)thr\
+ow new Error("No ICC color space support");super(t,a);let r;switch(a){case 1:r=Ea.Gray8;this.#C=(e,t,a)=>function qcms_convert_one(e,t,a){Da.qcms_convert_one(e,t,a)}(this.#k,255*e[t],a);break;case 3:r=Ea.RGB8;this.#C=(e,t,a)=>function qcms_convert_three(e,t,a,r,i){Da.qcms_convert_three(e,t,a,r,i)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],a);break;case 4:r=Ea.CMYK;this.#C=(e,t,a)=>function qcms_convert_four(e,t,a,r,i,n){Da.qcms_convert_four(e,t,a,r,i,n)}(this.#k,255*e[t],255*e[t+1],255*e[t+2],255*e\
+[t+3],a);break;default:throw new Error(`Unsupported number of components: ${a}`)}this.#k=function qcms_transformer_from_memory(e,t,a){const r=passArray8ToWasm0(e,Da.__wbindgen_malloc),i=Na;return Da.qcms_transformer_from_memory(r,i,t,a)>>>0}(e,r,Pa.Perceptual);if(!this.#k)throw new Error("Failed to create ICC color space");IccColorSpace.#I.register(this,this.#k)}getRgbHex(e,t){this.#C(e,t,!0);return QCMS._cssColor}getRgbItem(e,t,a,r){QCMS._destBuffer=a;QCMS._destOffset=r;QCMS._destLength=3;this.\
+#C(e,t,!1);QCMS._destBuffer=null}getRgbBuffer(e,t,a,r,i,n,s){e=e.subarray(t,t+a*this.numComps);if(8!==n){const t=255/((1<<n)-1);for(let a=0,r=e.length;a<r;a++)e[a]*=t}QCMS._mustAddAlpha=s&&r.buffer===e.buffer;QCMS._destBuffer=r;QCMS._destOffset=i;QCMS._destLength=a*(3+s);!function qcms_convert_array(e,t){const a=passArray8ToWasm0(t,Da.__wbindgen_malloc),r=Na;Da.qcms_convert_array(e,a,r)}(this.#k,e);QCMS._mustAddAlpha=!1;QCMS._destBuffer=null}getOutputLength(e,t){return e/this.numComps*(3+t)|0}st\
+atic setOptions({useWasm:e,useWorkerFetch:t,wasmUrl:a}){if(t){this.#v=e;this.#F=a}else this.#v=!1}static get isUsable(){let e=!1;if(this.#v)if(this.#F)try{this._module=function initSync(e){if(void 0!==Da)return Da;void 0!==e&&(Object.getPrototypeOf(e)===Object.prototype?({module:e}=e):console.warn("using deprecated parameters for `initSync()`; pass a single object instead"));const t=__wbg_get_imports();e instanceof WebAssembly.Module||(e=new WebAssembly.Module(e));return __wbg_finalize_init(new \
+WebAssembly.Instance(e,t),e)}({module:fetchSync(`${this.#F}qcms_bg.wasm`)});e=!!this._module;QCMS._memory=this._module.memory;QCMS._makeHexColor=Util.makeHexColor}catch(e){warn(`ICCBased color space: "${e}".`)}else warn("No ICC color space support due to missing `wasmUrl` API option");return shadow(this,"isUsable",e)}}class CmykICCBasedCS extends IccColorSpace{static#T;constructor(){super(new Uint8Array(fetchSync(`${CmykICCBasedCS.#T}CGATS001Compat-v2-micro.icc`)),"DeviceCMYK",4)}static setOptio\
+ns({iccUrl:e}){this.#T=e}static get isUsable(){let e=!1;IccColorSpace.isUsable&&(this.#T?e=!0:warn("No CMYK ICC profile support due to missing `iccUrl` API option"));return shadow(this,"isUsable",e)}}class Stream extends BaseStream{constructor(e,t,a,r){super();this.bytes=e instanceof Uint8Array?e:new Uint8Array(e);this.start=t||0;this.pos=this.start;this.end=t+a||this.bytes.length;this.dict=r}get length(){return this.end-this.start}get isEmpty(){return 0===this.length}getByte(){return this.pos>=\
+this.end?-1:this.bytes[this.pos++]}getBytes(e){const t=this.bytes,a=this.pos,r=this.end;if(!e)return t.subarray(a,r);let i=a+e;i>r&&(i=r);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);return this.bytes.subarray(e,t)}reset(){this.pos=this.start}moveStart(){this.start=this.pos}makeSubStream(e,t,a=null){return new Stream(this.bytes.buffer,e,t,a)}}class StringStream extends Stream{constructor(e){super(stringToBytes(e))}}class NullStream extends Stream{constr\
+uctor(){super(new Uint8Array(0))}}class ChunkedStream extends Stream{constructor(e,t,a){super(new Uint8Array(e),0,e,null);this.chunkSize=t;this._loadedChunks=new Set;this.numChunks=Math.ceil(e/t);this.manager=a;this.progressiveDataLength=0;this.lastSuccessfulEnsureByteChunk=-1}getMissingChunks(){const e=[];for(let t=0,a=this.numChunks;t<a;++t)this._loadedChunks.has(t)||e.push(t);return e}get numChunksLoaded(){return this._loadedChunks.size}get isDataLoaded(){return this.numChunksLoaded===this.nu\
+mChunks}onReceiveData(e,t){const a=this.chunkSize;if(e%a!=0)throw new Error(`Bad begin offset: ${e}`);const r=e+t.byteLength;if(r%a!=0&&r!==this.bytes.length)throw new Error(`Bad end offset: ${r}`);this.bytes.set(new Uint8Array(t),e);const i=Math.floor(e/a),n=Math.floor((r-1)/a)+1;for(let e=i;e<n;++e)this._loadedChunks.add(e)}onReceiveProgressiveData(e){let t=this.progressiveDataLength;const a=Math.floor(t/this.chunkSize);this.bytes.set(new Uint8Array(e),t);t+=e.byteLength;this.progressiveDataLe\
+ngth=t;const r=t>=this.end?this.numChunks:Math.floor(t/this.chunkSize);for(let e=a;e<r;++e)this._loadedChunks.add(e)}ensureByte(e){if(e<this.progressiveDataLength)return;const t=Math.floor(e/this.chunkSize);if(!(t>this.numChunks)&&t!==this.lastSuccessfulEnsureByteChunk){if(!this._loadedChunks.has(t))throw new MissingDataException(e,e+1);this.lastSuccessfulEnsureByteChunk=t}}ensureRange(e,t){if(e>=t)return;if(t<=this.progressiveDataLength)return;const a=Math.floor(e/this.chunkSize);if(a>this.numC\
+hunks)return;const r=Math.min(Math.floor((t-1)/this.chunkSize)+1,this.numChunks);for(let i=a;i<r;++i)if(!this._loadedChunks.has(i))throw new MissingDataException(e,t)}nextEmptyChunk(e){const t=this.numChunks;for(let a=0;a<t;++a){const r=(e+a)%t;if(!this._loadedChunks.has(r))return r}return null}hasChunk(e){return this._loadedChunks.has(e)}getByte(){const e=this.pos;if(e>=this.end)return-1;e>=this.progressiveDataLength&&this.ensureByte(e);return this.bytes[this.pos++]}getBytes(e){const t=this.byt\
+es,a=this.pos,r=this.end;if(!e){r>this.progressiveDataLength&&this.ensureRange(a,r);return t.subarray(a,r)}let i=a+e;i>r&&(i=r);i>this.progressiveDataLength&&this.ensureRange(a,i);this.pos=i;return t.subarray(a,i)}getByteRange(e,t){e<0&&(e=0);t>this.end&&(t=this.end);t>this.progressiveDataLength&&this.ensureRange(e,t);return this.bytes.subarray(e,t)}makeSubStream(e,t,a=null){t?e+t>this.progressiveDataLength&&this.ensureRange(e,e+t):e>=this.progressiveDataLength&&this.ensureByte(e);function Chunk\
+edStreamSubstream(){}ChunkedStreamSubstream.prototype=Object.create(this);ChunkedStreamSubstream.prototype.getMissingChunks=function(){const e=this.chunkSize,t=Math.floor(this.start/e),a=Math.floor((this.end-1)/e)+1,r=[];for(let e=t;e<a;++e)this._loadedChunks.has(e)||r.push(e);return r};Object.defineProperty(ChunkedStreamSubstream.prototype,"isDataLoaded",{get(){return this.numChunksLoaded===this.numChunks||0===this.getMissingChunks().length},configurable:!0});const r=new ChunkedStreamSubstream;\
+r.pos=r.start=e;r.end=e+t||this.end;r.dict=a;return r}getBaseStreams(){return[this]}}class ChunkedStreamManager{constructor(e,t){this.length=t.length;this.chunkSize=t.rangeChunkSize;this.stream=new ChunkedStream(this.length,this.chunkSize,this);this.pdfNetworkStream=e;this.disableAutoFetch=t.disableAutoFetch;this.msgHandler=t.msgHandler;this.currRequestId=0;this._chunksNeededByRequest=new Map;this._requestsByChunk=new Map;this._promisesByRequest=new Map;this.progressiveDataLength=0;this.aborted=\
+!1;this._loadedStreamCapability=Promise.withResolvers()}sendRequest(e,t){const a=this.pdfNetworkStream.getRangeReader(e,t);a.isStreamingSupported||(a.onProgress=this.onProgress.bind(this));let r=[],i=0;return new Promise(((e,t)=>{const readChunk=({value:n,done:s})=>{try{if(s){const t=arrayBuffersToBytes(r);r=null;e(t);return}i+=n.byteLength;a.isStreamingSupported&&this.onProgress({loaded:i});r.push(n);a.read().then(readChunk,t)}catch(e){t(e)}};a.read().then(readChunk,t)})).then((t=>{this.aborted\
+||this.onReceiveData({chunk:t,begin:e})}))}requestAllChunks(e=!1){if(!e){const e=this.stream.getMissingChunks();this._requestChunks(e)}return this._loadedStreamCapability.promise}_requestChunks(e){const t=this.currRequestId++,a=new Set;this._chunksNeededByRequest.set(t,a);for(const t of e)this.stream.hasChunk(t)||a.add(t);if(0===a.size)return Promise.resolve();const r=Promise.withResolvers();this._promisesByRequest.set(t,r);const i=[];for(const e of a){let a=this._requestsByChunk.get(e);if(!a){a\
+=[];this._requestsByChunk.set(e,a);i.push(e)}a.push(t)}if(i.length>0){const e=this.groupChunks(i);for(const t of e){const e=t.beginChunk*this.chunkSize,a=Math.min(t.endChunk*this.chunkSize,this.length);this.sendRequest(e,a).catch(r.reject)}}return r.promise.catch((e=>{if(!this.aborted)throw e}))}getStream(){return this.stream}requestRange(e,t){t=Math.min(t,this.length);const a=this.getBeginChunk(e),r=this.getEndChunk(t),i=[];for(let e=a;e<r;++e)i.push(e);return this._requestChunks(i)}requestRang\
+es(e=[]){const t=[];for(const a of e){const e=this.getBeginChunk(a.begin),r=this.getEndChunk(a.end);for(let a=e;a<r;++a)t.includes(a)||t.push(a)}t.sort(((e,t)=>e-t));return this._requestChunks(t)}groupChunks(e){const t=[];let a=-1,r=-1;for(let i=0,n=e.length;i<n;++i){const n=e[i];a<0&&(a=n);if(r>=0&&r+1!==n){t.push({beginChunk:a,endChunk:r+1});a=n}i+1===e.length&&t.push({beginChunk:a,endChunk:n+1});r=n}return t}onProgress(e){this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*\
+this.chunkSize+e.loaded,total:this.length})}onReceiveData(e){const t=e.chunk,a=void 0===e.begin,r=a?this.progressiveDataLength:e.begin,i=r+t.byteLength,n=Math.floor(r/this.chunkSize),s=i<this.length?Math.floor(i/this.chunkSize):Math.ceil(i/this.chunkSize);if(a){this.stream.onReceiveProgressiveData(t);this.progressiveDataLength=i}else this.stream.onReceiveData(r,t);this.stream.isDataLoaded&&this._loadedStreamCapability.resolve(this.stream);const o=[];for(let e=n;e<s;++e){const t=this._requestsByC\
+hunk.get(e);if(t){this._requestsByChunk.delete(e);for(const a of t){const t=this._chunksNeededByRequest.get(a);t.has(e)&&t.delete(e);t.size>0||o.push(a)}}}if(!this.disableAutoFetch&&0===this._requestsByChunk.size){let e;if(1===this.stream.numChunksLoaded){const t=this.stream.numChunks-1;this.stream.hasChunk(t)||(e=t)}else e=this.stream.nextEmptyChunk(s);Number.isInteger(e)&&this._requestChunks([e])}for(const e of o){const t=this._promisesByRequest.get(e);this._promisesByRequest.delete(e);t.resol\
+ve()}this.msgHandler.send("DocProgress",{loaded:this.stream.numChunksLoaded*this.chunkSize,total:this.length})}onError(e){this._loadedStreamCapability.reject(e)}getBeginChunk(e){return Math.floor(e/this.chunkSize)}getEndChunk(e){return Math.floor((e-1)/this.chunkSize)+1}abort(e){this.aborted=!0;this.pdfNetworkStream?.cancelAllRequests(e);for(const t of this._promisesByRequest.values())t.reject(e)}}function convertToRGBA(e){switch(e.kind){case k:return convertBlackAndWhiteToRGBA(e);case C:return \
+function convertRGBToRGBA({src:e,srcPos:t=0,dest:a,destPos:r=0,width:i,height:n}){let s=0;const o=i*n*3,c=o>>2,l=new Uint32Array(e.buffer,t,c);if(FeatureTest.isLittleEndian){for(;s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=4278190080|e;a[r+1]=e>>>24|t<<8|4278190080;a[r+2]=t>>>16|i<<16|4278190080;a[r+3]=i>>>8|4278190080}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]|e[i+1]<<8|e[i+2]<<16|4278190080}else{for(;s<c-2;s+=3,r+=4){const e=l[s],t=l[s+1],i=l[s+2];a[r]=255|e;a[r+1]=e<<24|t>>>8|255;a[r+2\
+]=t<<16|i>>>16|255;a[r+3]=i<<8|255}for(let i=4*s,n=t+o;i<n;i+=3)a[r++]=e[i]<<24|e[i+1]<<16|e[i+2]<<8|255}return{srcPos:t+o,destPos:r}}(e)}return null}function convertBlackAndWhiteToRGBA({src:e,srcPos:t=0,dest:a,width:r,height:i,nonBlackColor:n=4294967295,inverseDecode:s=!1}){const o=FeatureTest.isLittleEndian?4278190080:255,[c,l]=s?[n,o]:[o,n],h=r>>3,u=7&r,d=e.length;a=new Uint32Array(a.buffer);let f=0;for(let r=0;r<i;r++){for(const r=t+h;t<r;t++){const r=t<d?e[t]:255;a[f++]=128&r?l:c;a[f++]=64&\
+r?l:c;a[f++]=32&r?l:c;a[f++]=16&r?l:c;a[f++]=8&r?l:c;a[f++]=4&r?l:c;a[f++]=2&r?l:c;a[f++]=1&r?l:c}if(0===u)continue;const r=t<d?e[t++]:255;for(let e=0;e<u;e++)a[f++]=r&1<<7-e?l:c}return{srcPos:t,destPos:f}}class ImageResizer{static#O=2048;static#M=FeatureTest.isImageDecoderSupported;constructor(e,t){this._imgData=e;this._isMask=t}static get canUseImageDecoder(){return shadow(this,"canUseImageDecoder",this.#M?ImageDecoder.isTypeSupported("image/bmp"):Promise.resolve(!1))}static needsToBeResized(e\
+,t){if(e<=this.#O&&t<=this.#O)return!1;const{MAX_DIM:a}=this;if(e>a||t>a)return!0;const r=e*t;if(this._hasMaxArea)return r>this.MAX_AREA;if(r<this.#O**2)return!1;if(this._areGoodDims(e,t)){this.#O=Math.max(this.#O,Math.floor(Math.sqrt(e*t)));return!1}this.#O=this._guessMax(this.#O,a,128,0);return r>(this.MAX_AREA=this.#O**2)}static getReducePowerForJPX(e,t,a){const r=e*t,i=2**30/(4*a);if(!this.needsToBeResized(e,t))return r>i?Math.ceil(Math.log2(r/i)):0;const{MAX_DIM:n,MAX_AREA:s}=this,o=Math.ma\
+x(e/n,t/n,Math.sqrt(r/Math.min(i,s)));return Math.ceil(Math.log2(o))}static get MAX_DIM(){return shadow(this,"MAX_DIM",this._guessMax(2048,65537,0,1))}static get MAX_AREA(){this._hasMaxArea=!0;return shadow(this,"MAX_AREA",this._guessMax(this.#O,this.MAX_DIM,128,0)**2)}static set MAX_AREA(e){if(e>=0){this._hasMaxArea=!0;shadow(this,"MAX_AREA",e)}}static setOptions({canvasMaxAreaInBytes:e=-1,isImageDecoderSupported:t=!1}){this._hasMaxArea||(this.MAX_AREA=e>>2);this.#M=t}static _areGoodDims(e,t){t\
+ry{const a=new OffscreenCanvas(e,t),r=a.getContext("2d");r.fillRect(0,0,1,1);const i=r.getImageData(0,0,1,1).data[3];a.width=a.height=1;return 0!==i}catch{return!1}}static _guessMax(e,t,a,r){for(;e+a+1<t;){const a=Math.floor((e+t)/2),i=r||a;this._areGoodDims(a,i)?e=a:t=a}return e}static async createImage(e,t=!1){return new ImageResizer(e,t)._createImage()}async _createImage(){const{_imgData:e}=this,{width:t,height:a}=e;if(t*a*4>va){const e=this.#D();if(e)return e}const r=this._encodeBMP();let i,\
+n;if(await ImageResizer.canUseImageDecoder){i=new ImageDecoder({data:r,type:"image/bmp",preferAnimation:!1,transfer:[r.buffer]});n=i.decode().catch((e=>{warn(`BMP image decoding failed: ${e}`);return createImageBitmap(new Blob([this._encodeBMP().buffer],{type:"image/bmp"}))})).finally((()=>{i.close()}))}else n=createImageBitmap(new Blob([r.buffer],{type:"image/bmp"}));const{MAX_AREA:s,MAX_DIM:o}=ImageResizer,c=Math.max(t/o,a/o,Math.sqrt(t*a/s)),l=Math.max(c,2),h=Math.round(10*(c+1.25))/10/l,u=Ma\
+th.floor(Math.log2(h)),d=new Array(u+2).fill(2);d[0]=l;d.splice(-1,1,h/(1<<u));let f=t,g=a;const p=await n;let m=p.image||p;for(const e of d){const t=f,a=g;f=Math.floor(f/e)-1;g=Math.floor(g/e)-1;const r=new OffscreenCanvas(f,g);r.getContext("2d").drawImage(m,0,0,t,a,0,0,f,g);m.close();m=r.transferToImageBitmap()}e.data=null;e.bitmap=m;e.width=f;e.height=g;return e}#D(){const{_imgData:e}=this,{data:t,width:a,height:r,kind:i}=e,n=a*r*4,s=Math.ceil(Math.log2(n/va)),o=a>>s,c=r>>s;let l,h=r;try{l=ne\
+w Uint8Array(n)}catch{let e=Math.floor(Math.log2(n+1));for(;;)try{l=new Uint8Array(2**e-1);break}catch{e-=1}h=Math.floor((2**e-1)/(4*a));const t=a*h*4;t<l.length&&(l=new Uint8Array(t))}const u=new Uint32Array(l.buffer),d=new Uint32Array(o*c);let f=0,g=0;const p=Math.ceil(r/h),m=r%h==0?r:r%h;for(let e=0;e<p;e++){const r=e<p-1?h:m;({srcPos:f}=convertToRGBA({kind:i,src:t,dest:u,width:a,height:r,inverseDecode:this._isMask,srcPos:f}));for(let e=0,t=r>>s;e<t;e++){const t=u.subarray((e<<s)*a);for(let e\
+=0;e<o;e++)d[g++]=t[e<<s]}}if(ImageResizer.needsToBeResized(o,c)){e.data=d;e.width=o;e.height=c;e.kind=v;return null}const b=new OffscreenCanvas(o,c);b.getContext("2d",{willReadFrequently:!0}).putImageData(new ImageData(new Uint8ClampedArray(d.buffer),o,c),0,0);e.data=null;e.bitmap=b.transferToImageBitmap();e.width=o;e.height=c;return e}_encodeBMP(){const{width:e,height:t,kind:a}=this._imgData;let r,i=this._imgData.data,n=new Uint8Array(0),s=n,o=0;switch(a){case k:{r=1;n=new Uint8Array(this._isM\
+ask?[255,255,255,255,0,0,0,0]:[0,0,0,0,255,255,255,255]);const a=e+7>>3,s=a+3&-4;if(a!==s){const e=new Uint8Array(s*t);let r=0;for(let n=0,o=t*a;n<o;n+=a,r+=s)e.set(i.subarray(n,n+a),r);i=e}break}case C:r=24;if(3&e){const a=3*e,r=a+3&-4,n=r-a,s=new Uint8Array(r*t);let o=0;for(let e=0,r=t*a;e<r;e+=a){const t=i.subarray(e,e+a);for(let e=0;e<a;e+=3){s[o++]=t[e+2];s[o++]=t[e+1];s[o++]=t[e]}o+=n}i=s}else for(let e=0,t=i.length;e<t;e+=3){const t=i[e];i[e]=i[e+2];i[e+2]=t}break;case v:r=32;o=3;s=new Ui\
+nt8Array(68);const a=new DataView(s.buffer);if(FeatureTest.isLittleEndian){a.setUint32(0,255,!0);a.setUint32(4,65280,!0);a.setUint32(8,16711680,!0);a.setUint32(12,4278190080,!0)}else{a.setUint32(0,4278190080,!0);a.setUint32(4,16711680,!0);a.setUint32(8,65280,!0);a.setUint32(12,255,!0)}break;default:throw new Error("invalid format")}let c=0;const l=40+s.length,h=14+l+n.length+i.length,u=new Uint8Array(h),d=new DataView(u.buffer);d.setUint16(c,19778,!0);c+=2;d.setUint32(c,h,!0);c+=4;d.setUint32(c,\
+0,!0);c+=4;d.setUint32(c,14+l+n.length,!0);c+=4;d.setUint32(c,l,!0);c+=4;d.setInt32(c,e,!0);c+=4;d.setInt32(c,-t,!0);c+=4;d.setUint16(c,1,!0);c+=2;d.setUint16(c,r,!0);c+=2;d.setUint32(c,o,!0);c+=4;d.setUint32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setInt32(c,0,!0);c+=4;d.setUint32(c,n.length/4,!0);c+=4;d.setUint32(c,0,!0);c+=4;u.set(s,c);c+=s.length;u.set(n,c);c+=n.length;u.set(i,c);return u}}const La=new Uint8Array(0);class DecodeStream extends BaseStream{constructor(e){super();this._rawMinBuff\
+erLength=e||0;this.pos=0;this.bufferLength=0;this.eof=!1;this.buffer=La;this.minBufferLength=512;if(e)for(;this.minBufferLength<e;)this.minBufferLength*=2}get isEmpty(){for(;!this.eof&&0===this.bufferLength;)this.readBlock();return 0===this.bufferLength}ensureBuffer(e){const t=this.buffer;if(e<=t.byteLength)return t;let a=this.minBufferLength;for(;a<e;)a*=2;const r=new Uint8Array(a);r.set(t);return this.buffer=r}getByte(){const e=this.pos;for(;this.bufferLength<=e;){if(this.eof)return-1;this.rea\
+dBlock()}return this.buffer[this.pos++]}getBytes(e,t=null){const a=this.pos;let r;if(e){this.ensureBuffer(a+e);r=a+e;for(;!this.eof&&this.bufferLength<r;)this.readBlock(t);const i=this.bufferLength;r>i&&(r=i)}else{for(;!this.eof;)this.readBlock(t);r=this.bufferLength}this.pos=r;return this.buffer.subarray(a,r)}async getImageData(e,t){if(!this.canAsyncDecodeImageFromBuffer)return this.isAsyncDecoder?this.decodeImage(null,t):this.getBytes(e,t);const a=await this.stream.asyncGetBytes();return this.\
+decodeImage(a,t)}reset(){this.pos=0}makeSubStream(e,t,a=null){if(void 0===t)for(;!this.eof;)this.readBlock();else{const a=e+t;for(;this.bufferLength<=a&&!this.eof;)this.readBlock()}return new Stream(this.buffer,e,t,a)}getBaseStreams(){return this.str?this.str.getBaseStreams():null}}class StreamsSequenceStream extends DecodeStream{constructor(e,t=null){e=e.filter((e=>e instanceof BaseStream));let a=0;for(const t of e)a+=t instanceof DecodeStream?t._rawMinBufferLength:t.length;super(a);this.stream\
+s=e;this._onError=t}readBlock(){const e=this.streams;if(0===e.length){this.eof=!0;return}const t=e.shift();let a;try{a=t.getBytes()}catch(e){if(this._onError){this._onError(e,t.dict?.objId);return}throw e}const r=this.bufferLength,i=r+a.length;this.ensureBuffer(i).set(a,r);this.bufferLength=i}getBaseStreams(){const e=[];for(const t of this.streams){const a=t.getBaseStreams();a&&e.push(...a)}return e.length>0?e:null}}class ColorSpaceUtils{static parse({cs:e,xref:t,resources:a=null,pdfFunctionFact\
+ory:r,globalColorSpaceCache:i,localColorSpaceCache:n,asyncIfNotCached:s=!1}){const o={xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n};let c,l,h;if(e instanceof Ref){l=e;const a=i.getByRef(l)||n.getByRef(l);if(a)return a;e=t.fetch(e)}if(e instanceof Name){c=e.name;const t=n.getByName(c);if(t)return t}try{h=this.#B(e,o)}catch(e){if(s&&!(e instanceof MissingDataException))return Promise.reject(e);throw e}if(c||l){n.set(c,l,h);l&&i.set(null,l,h)}return s?Promi\
+se.resolve(h):h}static#R(e,t){const{globalColorSpaceCache:a}=t;let r;if(e instanceof Ref){r=e;const t=a.getByRef(r);if(t)return t}const i=this.#B(e,t);r&&a.set(null,r,i);return i}static#B(e,t){const{xref:a,resources:r,pdfFunctionFactory:i,globalColorSpaceCache:n}=t;if((e=a.fetchIfRef(e))instanceof Name)switch(e.name){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"DeviceRGBA":return this.rgba;case"CMYK":case"DeviceCMYK":return this.cmyk;case"Pattern":retu\
+rn new PatternCS(null);default:if(r instanceof Dict){const a=r.get("ColorSpace");if(a instanceof Dict){const r=a.get(e.name);if(r){if(r instanceof Name)return this.#B(r,t);e=r;break}}}warn(`Unrecognized ColorSpace: ${e.name}`);return this.gray}if(Array.isArray(e)){const r=a.fetchIfRef(e[0]).name;let s,o,c,l,h,u;switch(r){case"G":case"DeviceGray":return this.gray;case"RGB":case"DeviceRGB":return this.rgb;case"CMYK":case"DeviceCMYK":return this.cmyk;case"CalGray":s=a.fetchIfRef(e[1]);l=s.getArray(\
+"WhitePoint");h=s.getArray("BlackPoint");u=s.get("Gamma");return new CalGrayCS(l,h,u);case"CalRGB":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");u=s.getArray("Gamma");const d=s.getArray("Matrix");return new CalRGBCS(l,h,u,d);case"ICCBased":const f=e[1]instanceof Ref;if(f){const t=n.getByRef(e[1]);if(t)return t}const g=a.fetchIfRef(e[1]),p=g.dict;o=p.get("N");if(IccColorSpace.isUsable)try{const t=new IccColorSpace(g.getBytes(),"ICCBased",o);f&&n.set(null,e[1],t);retur\
+n t}catch(t){if(t instanceof MissingDataException)throw t;warn(`ICCBased color space (${e[1]}): "${t}".`)}const m=p.getRaw("Alternate");if(m){const e=this.#R(m,t);if(e.numComps===o)return e;warn("ICCBased color space: Ignoring incorrect /Alternate entry.")}if(1===o)return this.gray;if(3===o)return this.rgb;if(4===o)return this.cmyk;break;case"Pattern":c=e[1]||null;c&&(c=this.#R(c,t));return new PatternCS(c);case"I":case"Indexed":c=this.#R(e[1],t);const b=MathClamp(a.fetchIfRef(e[2]),0,255),y=a.f\
+etchIfRef(e[3]);return new IndexedCS(c,b,y);case"Separation":case"DeviceN":const w=a.fetchIfRef(e[1]);o=Array.isArray(w)?w.length:1;c=this.#R(e[2],t);const x=i.create(e[3]);return new AlternateCS(o,c,x);case"Lab":s=a.fetchIfRef(e[1]);l=s.getArray("WhitePoint");h=s.getArray("BlackPoint");const S=s.getArray("Range");return new LabCS(l,h,S);default:warn(`Unimplemented ColorSpace object: ${r}`);return this.gray}}warn(`Unrecognized ColorSpace object: ${e}`);return this.gray}static get gray(){return s\
+hadow(this,"gray",new DeviceGrayCS)}static get rgb(){return shadow(this,"rgb",new DeviceRgbCS)}static get rgba(){return shadow(this,"rgba",new DeviceRgbaCS)}static get cmyk(){if(CmykICCBasedCS.isUsable)try{return shadow(this,"cmyk",new CmykICCBasedCS)}catch{warn("CMYK fallback: DeviceCMYK")}return shadow(this,"cmyk",new DeviceCmykCS)}}class JpegError extends fa{constructor(e){super(e,"JpegError")}}class DNLMarkerError extends fa{constructor(e,t){super(e,"DNLMarkerError");this.scanLines=t}}class \
+EOIMarkerError extends fa{constructor(e){super(e,"EOIMarkerError")}}const ja=new Uint8Array([0,1,8,16,9,2,3,10,17,24,32,25,18,11,4,5,12,19,26,33,40,48,41,34,27,20,13,6,7,14,21,28,35,42,49,56,57,50,43,36,29,22,15,23,30,37,44,51,58,59,52,45,38,31,39,46,53,60,61,54,47,55,62,63]),_a=4017,Ua=799,Xa=3406,qa=2276,Ha=1567,Wa=3784,za=5793,$a=2896;function buildHuffmanTable(e,t){let a,r,i=0,n=16;for(;n>0&&!e[n-1];)n--;const s=[{children:[],index:0}];let o,c=s[0];for(a=0;a<n;a++){for(r=0;r<e[a];r++){c=s.po\
+p();c.children[c.index]=t[i];for(;c.index>0;)c=s.pop();c.index++;s.push(c);for(;s.length<=a;){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}i++}if(a+1<n){s.push(o={children:[],index:0});c.children[c.index]=o.children;c=o}}return s[0].children}function getBlockBufferOffset(e,t,a){return 64*((e.blocksPerLine+1)*t+a)}function decodeScan(e,t,a,r,i,n,s,o,c,l=!1){const h=a.mcusPerLine,u=a.progressive,d=t;let f=0,g=0;function readBit(){if(g>0){g--;return f>>g&1}f=e[t++];if(255===f)\
+{const r=e[t++];if(r){if(220===r&&l){const r=readUint16(e,t+=2);t+=2;if(r>0&&r!==a.scanLines)throw new DNLMarkerError("Found DNL marker (0xFFDC) while parsing scan data",r)}else if(217===r){if(l){const e=y*(8===a.precision?8:0);if(e>0&&Math.round(a.scanLines/e)>=5)throw new DNLMarkerError("Found EOI marker (0xFFD9) while parsing scan data, possibly caused by incorrect `scanLines` parameter",e)}throw new EOIMarkerError("Found EOI marker (0xFFD9) while parsing scan data")}throw new JpegError(`unex\
+pected marker ${(f<<8|r).toString(16)}`)}}g=7;return f>>>7}function decodeHuffman(e){let t=e;for(;;){t=t[readBit()];switch(typeof t){case"number":return t;case"object":continue}throw new JpegError("invalid huffman sequence")}}function receive(e){let t=0;for(;e>0;){t=t<<1|readBit();e--}return t}function receiveAndExtend(e){if(1===e)return 1===readBit()?1:-1;const t=receive(e);return t>=1<<e-1?t:t+(-1<<e)+1}let p=0;let m,b=0;let y=0;function decodeMcu(e,t,a,r,i){const n=a%h;y=(a/h|0)*e.v+r;const s\
+=n*e.h+i;t(e,getBlockBufferOffset(e,y,s))}function decodeBlock(e,t,a){y=a/e.blocksPerLine|0;const r=a%e.blocksPerLine;t(e,getBlockBufferOffset(e,y,r))}const w=r.length;let x,S,k,C,v,F;F=u?0===n?0===o?function decodeDCFirst(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a)<<c;e.blockData[t]=e.pred+=r}:function decodeDCSuccessive(e,t){e.blockData[t]|=readBit()<<c}:0===o?function decodeACFirst(e,t){if(p>0){p--;return}let a=n;const r=s;for(;a<=r;){const r=decodeHuffman(e.huf\
+fmanTableAC),i=15&r,n=r>>4;if(0===i){if(n<15){p=receive(n)+(1<<n)-1;break}a+=16;continue}a+=n;const s=ja[a];e.blockData[t+s]=receiveAndExtend(i)*(1<<c);a++}}:function decodeACSuccessive(e,t){let a=n;const r=s;let i,o,l=0;for(;a<=r;){const r=t+ja[a],n=e.blockData[r]<0?-1:1;switch(b){case 0:o=decodeHuffman(e.huffmanTableAC);i=15&o;l=o>>4;if(0===i)if(l<15){p=receive(l)+(1<<l);b=4}else{l=16;b=1}else{if(1!==i)throw new JpegError("invalid ACn encoding");m=receiveAndExtend(i);b=l?2:3}continue;case 1:ca\
+se 2:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{l--;0===l&&(b=2===b?3:0)}break;case 3:if(e.blockData[r])e.blockData[r]+=n*(readBit()<<c);else{e.blockData[r]=m<<c;b=0}break;case 4:e.blockData[r]&&(e.blockData[r]+=n*(readBit()<<c))}a++}if(4===b){p--;0===p&&(b=0)}}:function decodeBaseline(e,t){const a=decodeHuffman(e.huffmanTableDC),r=0===a?0:receiveAndExtend(a);e.blockData[t]=e.pred+=r;let i=1;for(;i<64;){const a=decodeHuffman(e.huffmanTableAC),r=15&a,n=a>>4;if(0===r){if(n<15)break;i+\
+=16;continue}i+=n;const s=ja[i];e.blockData[t+s]=receiveAndExtend(r);i++}};let T,O=0;const M=1===w?r[0].blocksPerLine*r[0].blocksPerColumn:h*a.mcusPerColumn;let D,R;for(;O<=M;){const a=i?Math.min(M-O,i):M;if(a>0){for(S=0;S<w;S++)r[S].pred=0;p=0;if(1===w){x=r[0];for(v=0;v<a;v++){decodeBlock(x,F,O);O++}}else for(v=0;v<a;v++){for(S=0;S<w;S++){x=r[S];D=x.h;R=x.v;for(k=0;k<R;k++)for(C=0;C<D;C++)decodeMcu(x,F,O,k,C)}O++}}g=0;T=findNextFileMarker(e,t);if(!T)break;if(T.invalid){warn(`decodeScan - ${a>0?\
+"unexpected":"excessive"} MCU data, current marker is: ${T.invalid}`);t=T.offset}if(!(T.marker>=65488&&T.marker<=65495))break;t+=2}return t-d}function quantizeAndInverse(e,t,a){const r=e.quantizationTable,i=e.blockData;let n,s,o,c,l,h,u,d,f,g,p,m,b,y,w,x,S;if(!r)throw new JpegError("missing required Quantization Table.");for(let e=0;e<64;e+=8){f=i[t+e];g=i[t+e+1];p=i[t+e+2];m=i[t+e+3];b=i[t+e+4];y=i[t+e+5];w=i[t+e+6];x=i[t+e+7];f*=r[e];if(g|p|m|b|y|w|x){g*=r[e+1];p*=r[e+2];m*=r[e+3];b*=r[e+4];y*\
+=r[e+5];w*=r[e+6];x*=r[e+7];n=za*f+128>>8;s=za*b+128>>8;o=p;c=w;l=$a*(g-x)+128>>8;d=$a*(g+x)+128>>8;h=m<<4;u=y<<4;n=n+s+1>>1;s=n-s;S=o*Wa+c*Ha+128>>8;o=o*Ha-c*Wa+128>>8;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;a[e]=n+d;a[e+7]=n-d;a[e+1]=s+u;a[e+6]=s-u;a[e+2]=o+h;a[e+5]=o-h;a[e+3]=c+l;a[e+4]=c-l}else{S=za*f+512>>10;a[e]=S;a[e+1]=S;a[e+2]=S;a[e+3]=S;a[e+4]=S;a[e+5]=S;a[e+6]=S;\
+a[e+7]=S}}for(let e=0;e<8;++e){f=a[e];g=a[e+8];p=a[e+16];m=a[e+24];b=a[e+32];y=a[e+40];w=a[e+48];x=a[e+56];if(g|p|m|b|y|w|x){n=za*f+2048>>12;s=za*b+2048>>12;o=p;c=w;l=$a*(g-x)+2048>>12;d=$a*(g+x)+2048>>12;h=m;u=y;n=4112+(n+s+1>>1);s=n-s;S=o*Wa+c*Ha+2048>>12;o=o*Ha-c*Wa+2048>>12;c=S;l=l+u+1>>1;u=l-u;d=d+h+1>>1;h=d-h;n=n+c+1>>1;c=n-c;s=s+o+1>>1;o=s-o;S=l*qa+d*Xa+2048>>12;l=l*Xa-d*qa+2048>>12;d=S;S=h*Ua+u*_a+2048>>12;h=h*_a-u*Ua+2048>>12;u=S;f=n+d;x=n-d;g=s+u;w=s-u;p=o+h;y=o-h;m=c+l;b=c-l;f<16?f=0:\
+f>=4080?f=255:f>>=4;g<16?g=0:g>=4080?g=255:g>>=4;p<16?p=0:p>=4080?p=255:p>>=4;m<16?m=0:m>=4080?m=255:m>>=4;b<16?b=0:b>=4080?b=255:b>>=4;y<16?y=0:y>=4080?y=255:y>>=4;w<16?w=0:w>=4080?w=255:w>>=4;x<16?x=0:x>=4080?x=255:x>>=4;i[t+e]=f;i[t+e+8]=g;i[t+e+16]=p;i[t+e+24]=m;i[t+e+32]=b;i[t+e+40]=y;i[t+e+48]=w;i[t+e+56]=x}else{S=za*f+8192>>14;S=S<-2040?0:S>=2024?255:S+2056>>4;i[t+e]=S;i[t+e+8]=S;i[t+e+16]=S;i[t+e+24]=S;i[t+e+32]=S;i[t+e+40]=S;i[t+e+48]=S;i[t+e+56]=S}}}function buildComponentData(e,t){con\
+st a=t.blocksPerLine,r=t.blocksPerColumn,i=new Int16Array(64);for(let e=0;e<r;e++)for(let r=0;r<a;r++){quantizeAndInverse(t,getBlockBufferOffset(t,e,r),i)}return t.blockData}function findNextFileMarker(e,t,a=t){const r=e.length-1;let i=a<t?a:t;if(t>=r)return null;const n=readUint16(e,t);if(n>=65472&&n<=65534)return{invalid:null,marker:n,offset:t};let s=readUint16(e,i);for(;!(s>=65472&&s<=65534);){if(++i>=r)return null;s=readUint16(e,i)}return{invalid:n.toString(16),marker:s,offset:i}}function pr\
+epareComponents(e){const t=Math.ceil(e.samplesPerLine/8/e.maxH),a=Math.ceil(e.scanLines/8/e.maxV);for(const r of e.components){const i=Math.ceil(Math.ceil(e.samplesPerLine/8)*r.h/e.maxH),n=Math.ceil(Math.ceil(e.scanLines/8)*r.v/e.maxV),s=t*r.h,o=64*(a*r.v)*(s+1);r.blockData=new Int16Array(o);r.blocksPerLine=i;r.blocksPerColumn=n}e.mcusPerLine=t;e.mcusPerColumn=a}function readDataBlock(e,t){const a=readUint16(e,t);let r=(t+=2)+a-2;const i=findNextFileMarker(e,r,t);if(i?.invalid){warn("readDataBlo\
+ck - incorrect length, current marker is: "+i.invalid);r=i.offset}const n=e.subarray(t,r);return{appData:n,oldOffset:t,newOffset:t+n.length}}function skipData(e,t){const a=readUint16(e,t),r=(t+=2)+a-2,i=findNextFileMarker(e,r,t);return i?.invalid?i.offset:r}class JpegImage{constructor({decodeTransform:e=null,colorTransform:t=-1}={}){this._decodeTransform=e;this._colorTransform=t}static canUseImageDecoder(e,t=-1){let a=null,r=0,i=null,n=readUint16(e,r);r+=2;if(65496!==n)throw new JpegError("SOI n\
+ot found");n=readUint16(e,r);r+=2;e:for(;65497!==n;){switch(n){case 65505:const{appData:t,oldOffset:s,newOffset:o}=readDataBlock(e,r);r=o;if(69===t[0]&&120===t[1]&&105===t[2]&&102===t[3]&&0===t[4]&&0===t[5]){if(a)throw new JpegError("Duplicate EXIF-blocks found.");a={exifStart:s+6,exifEnd:o}}n=readUint16(e,r);r+=2;continue;case 65472:case 65473:case 65474:i=e[r+7];break e;case 65535:255!==e[r]&&r--}r=skipData(e,r);n=readUint16(e,r);r+=2}return 4===i||3===i&&0===t?null:a||{}}parse(e,{dnlScanLines\
+:t=null}={}){let a,r,i=0,n=null,s=null,o=0;const c=[],l=[],h=[];let u=readUint16(e,i);i+=2;if(65496!==u)throw new JpegError("SOI not found");u=readUint16(e,i);i+=2;e:for(;65497!==u;){let d,f,g;switch(u){case 65504:case 65505:case 65506:case 65507:case 65508:case 65509:case 65510:case 65511:case 65512:case 65513:case 65514:case 65515:case 65516:case 65517:case 65518:case 65519:case 65534:const{appData:p,newOffset:m}=readDataBlock(e,i);i=m;65504===u&&74===p[0]&&70===p[1]&&73===p[2]&&70===p[3]&&0==\
+=p[4]&&(n={version:{major:p[5],minor:p[6]},densityUnits:p[7],xDensity:p[8]<<8|p[9],yDensity:p[10]<<8|p[11],thumbWidth:p[12],thumbHeight:p[13],thumbData:p.subarray(14,14+3*p[12]*p[13])});65518===u&&65===p[0]&&100===p[1]&&111===p[2]&&98===p[3]&&101===p[4]&&(s={version:p[5]<<8|p[6],flags0:p[7]<<8|p[8],flags1:p[9]<<8|p[10],transformCode:p[11]});break;case 65499:const b=readUint16(e,i);i+=2;const y=b+i-2;let w;for(;i<y;){const t=e[i++],a=new Uint16Array(64);if(t>>4){if(t>>4!=1)throw new JpegError("DQ\
+T - invalid table spec");for(f=0;f<64;f++){w=ja[f];a[w]=readUint16(e,i);i+=2}}else for(f=0;f<64;f++){w=ja[f];a[w]=e[i++]}c[15&t]=a}break;case 65472:case 65473:case 65474:if(a)throw new JpegError("Only single frame JPEGs supported");i+=2;a={};a.extended=65473===u;a.progressive=65474===u;a.precision=e[i++];const x=readUint16(e,i);i+=2;a.scanLines=t||x;a.samplesPerLine=readUint16(e,i);i+=2;a.components=[];a.componentIds={};const S=e[i++];let k=0,C=0;for(d=0;d<S;d++){const t=e[i],r=e[i+1]>>4,n=15&e[\
+i+1];k<r&&(k=r);C<n&&(C=n);const s=e[i+2];g=a.components.push({h:r,v:n,quantizationId:s,quantizationTable:null});a.componentIds[t]=g-1;i+=3}a.maxH=k;a.maxV=C;prepareComponents(a);break;case 65476:const v=readUint16(e,i);i+=2;for(d=2;d<v;){const t=e[i++],a=new Uint8Array(16);let r=0;for(f=0;f<16;f++,i++)r+=a[f]=e[i];const n=new Uint8Array(r);for(f=0;f<r;f++,i++)n[f]=e[i];d+=17+r;(t>>4?l:h)[15&t]=buildHuffmanTable(a,n)}break;case 65501:i+=2;r=readUint16(e,i);i+=2;break;case 65498:const F=1==++o&&!\
+t;i+=2;const T=e[i++],O=[];for(d=0;d<T;d++){const t=e[i++],r=a.componentIds[t],n=a.components[r];n.index=t;const s=e[i++];n.huffmanTableDC=h[s>>4];n.huffmanTableAC=l[15&s];O.push(n)}const M=e[i++],D=e[i++],R=e[i++];try{i+=decodeScan(e,i,a,O,r,M,D,R>>4,15&R,F)}catch(t){if(t instanceof DNLMarkerError){warn(`${t.message} -- attempting to re-parse the JPEG image.`);return this.parse(e,{dnlScanLines:t.scanLines})}if(t instanceof EOIMarkerError){warn(`${t.message} -- ignoring the rest of the image dat\
+a.`);break e}throw t}break;case 65500:i+=4;break;case 65535:255!==e[i]&&i--;break;default:const N=findNextFileMarker(e,i-2,i-3);if(N?.invalid){warn("JpegImage.parse - unexpected data, current marker is: "+N.invalid);i=N.offset;break}if(!N||i>=e.length-1){warn("JpegImage.parse - reached the end of the image data without finding an EOI marker (0xFFD9).");break e}throw new JpegError("JpegImage.parse - unknown marker: "+u.toString(16))}u=readUint16(e,i);i+=2}if(!a)throw new JpegError("JpegImage.pars\
+e - no frame data found.");this.width=a.samplesPerLine;this.height=a.scanLines;this.jfif=n;this.adobe=s;this.components=[];for(const e of a.components){const t=c[e.quantizationId];t&&(e.quantizationTable=t);this.components.push({index:e.index,output:buildComponentData(0,e),scaleX:e.h/a.maxH,scaleY:e.v/a.maxV,blocksPerLine:e.blocksPerLine,blocksPerColumn:e.blocksPerColumn})}this.numComponents=this.components.length}_getLinearizedBlockData(e,t,a=!1){const r=this.width/e,i=this.height/t;let n,s,o,c\
+,l,h,u,d,f,g,p,m=0;const b=this.components.length,y=e*t*b,w=new Uint8ClampedArray(y),x=new Uint32Array(e),S=4294967288;let k;for(u=0;u<b;u++){n=this.components[u];s=n.scaleX*r;o=n.scaleY*i;m=u;p=n.output;c=n.blocksPerLine+1<<3;if(s!==k){for(l=0;l<e;l++){d=0|l*s;x[l]=(d&S)<<3|7&d}k=s}for(h=0;h<t;h++){d=0|h*o;g=c*(d&S)|(7&d)<<3;for(l=0;l<e;l++){w[m]=p[g+x[l]];m+=b}}}let C=this._decodeTransform;a||4!==b||C||(C=new Int32Array([-256,255,-256,255,-256,255,-256,255]));if(C)for(u=0;u<y;)for(d=0,f=0;d<b;\
+d++,u++,f+=2)w[u]=(w[u]*C[f]>>8)+C[f+1];return w}get _isColorConversionNeeded(){return this.adobe?!!this.adobe.transformCode:3===this.numComponents?0!==this._colorTransform&&(82!==this.components[0].index||71!==this.components[1].index||66!==this.components[2].index):1===this._colorTransform}_convertYccToRgb(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=3){t=e[i];a=e[i+1];r=e[i+2];e[i]=t-179.456+1.402*r;e[i+1]=t+135.459-.344*a-.714*r;e[i+2]=t-226.816+1.772*a}return e}_convertYccToRgba(e,t){for(let \
+a=0,r=0,i=e.length;a<i;a+=3,r+=4){const i=e[a],n=e[a+1],s=e[a+2];t[r]=i-179.456+1.402*s;t[r+1]=i+135.459-.344*n-.714*s;t[r+2]=i-226.816+1.772*n;t[r+3]=255}return t}_convertYcckToRgb(e){this._convertYcckToCmyk(e);return this._convertCmykToRgb(e)}_convertYcckToRgba(e){this._convertYcckToCmyk(e);return this._convertCmykToRgba(e)}_convertYcckToCmyk(e){let t,a,r;for(let i=0,n=e.length;i<n;i+=4){t=e[i];a=e[i+1];r=e[i+2];e[i]=434.456-t-1.402*r;e[i+1]=119.541-t+.344*a+.714*r;e[i+2]=481.816-t-1.772*a}ret\
+urn e}_convertCmykToRgb(e){const t=e.length/4;ColorSpaceUtils.cmyk.getRgbBuffer(e,0,t,e,0,8,0);return e.subarray(0,3*t)}_convertCmykToRgba(e){ColorSpaceUtils.cmyk.getRgbBuffer(e,0,e.length/4,e,0,8,1);if(ColorSpaceUtils.cmyk instanceof DeviceCmykCS)for(let t=3,a=e.length;t<a;t+=4)e[t]=255;return e}getData({width:e,height:t,forceRGBA:a=!1,forceRGB:r=!1,isSourcePDF:i=!1}){if(this.numComponents>4)throw new JpegError("Unsupported color mode");const n=this._getLinearizedBlockData(e,t,i);if(1===this.nu\
+mComponents&&(a||r)){const e=n.length*(a?4:3),t=new Uint8ClampedArray(e);let r=0;if(a)!function grayToRGBA(e,t){if(FeatureTest.isLittleEndian)for(let a=0,r=e.length;a<r;a++)t[a]=65793*e[a]|4278190080;else for(let a=0,r=e.length;a<r;a++)t[a]=16843008*e[a]|255}(n,new Uint32Array(t.buffer));else for(const e of n){t[r++]=e;t[r++]=e;t[r++]=e}return t}if(3===this.numComponents&&this._isColorConversionNeeded){if(a){const e=new Uint8ClampedArray(n.length/3*4);return this._convertYccToRgba(n,e)}return th\
+is._convertYccToRgb(n)}if(4===this.numComponents){if(this._isColorConversionNeeded)return a?this._convertYcckToRgba(n):r?this._convertYcckToRgb(n):this._convertYcckToCmyk(n);if(a)return this._convertCmykToRgba(n);if(r)return this._convertCmykToRgb(n)}return n}}class JpegStream extends DecodeStream{static#M=FeatureTest.isImageDecoderSupported;constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}static get canUseImageDecoder(){return shadow(this,"canUseImageD\
+ecoder",this.#M?ImageDecoder.isTypeSupported("image/jpeg"):Promise.resolve(!1))}static setOptions({isImageDecoderSupported:e=!1}){this.#M=e}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}get jpegOptions(){const e={decodeTransform:void 0,colorTransform:void 0},t=this.dict.getArray("D","Decode");if((this.forceRGBA||this.forceRGB)&&Array.isArray(t)){const a=this.dict.get("BPC","BitsPerComponent")||8,r=t.length,i=new Int\
+32Array(r);let n=!1;const s=(1<<a)-1;for(let e=0;e<r;e+=2){i[e]=256*(t[e+1]-t[e])|0;i[e+1]=t[e]*s|0;256===i[e]&&0===i[e+1]||(n=!0)}n&&(e.decodeTransform=i)}if(this.params instanceof Dict){const t=this.params.get("ColorTransform");Number.isInteger(t)&&(e.colorTransform=t)}return shadow(this,"jpegOptions",e)}#N(e){for(let t=0,a=e.length-1;t<a;t++)if(255===e[t]&&216===e[t+1]){t>0&&(e=e.subarray(t));break}return e}decodeImage(e){if(this.eof)return this.buffer;e=this.#N(e||this.bytes);const t=new Jpe\
+gImage(this.jpegOptions);t.parse(e);const a=t.getData({width:this.drawWidth,height:this.drawHeight,forceRGBA:this.forceRGBA,forceRGB:this.forceRGB,isSourcePDF:!0});this.buffer=a;this.bufferLength=a.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}async getTransferableImage(){if(!await JpegStream.canUseImageDecoder)return null;const e=this.jpegOptions;if(e.decodeTransform)return null;let t;try{const a=this.canAsyncDecodeImageFromBuffer&&await th\
+is.stream.asyncGetBytes()||this.bytes;if(!a)return null;let r=this.#N(a);const i=JpegImage.canUseImageDecoder(r,e.colorTransform);if(!i)return null;if(i.exifStart){r=r.slice();r.fill(0,i.exifStart,i.exifEnd)}t=new ImageDecoder({data:r,type:"image/jpeg",preferAnimation:!1});return(await t.decode()).image}catch(e){warn(`getTransferableImage - failed: "${e}".`);return null}finally{t?.close()}}}var OpenJPEG=async function(e={}){var t,a,r=e,i=new Promise(((e,r)=>{t=e;a=r})),n="./this.program",quit_=(\
+e,t)=>{throw t},s=import.meta.url;try{new URL(".",s).href}catch{}var o,c,l,h,u,d,f=console.log.bind(console),g=console.error.bind(console),p=!1;function updateMemoryViews(){var e=o.buffer;l=new Int8Array(e);new Int16Array(e);h=new Uint8Array(e);new Uint16Array(e);u=new Int32Array(e);d=new Uint32Array(e);new Float32Array(e);new Float64Array(e);new BigInt64Array(e);new BigUint64Array(e)}var m=0,b=null;class ExitStatus{name="ExitStatus";constructor(e){this.message=`Program terminated with exit(${e}\
+)`;this.status=e}}var callRuntimeCallbacks=e=>{for(;e.length>0;)e.shift()(r)},y=[],addOnPostRun=e=>y.push(e),w=[],addOnPreRun=e=>w.push(e),x=!0,S=0,k={},handleException=e=>{if(e instanceof ExitStatus||"unwind"==e)return c;quit_(0,e)},keepRuntimeAlive=()=>x||S>0,_proc_exit=e=>{c=e;if(!keepRuntimeAlive()){r.onExit?.(e);p=!0}quit_(0,new ExitStatus(e))},_exit=(e,t)=>{c=e;_proc_exit(e)},callUserCallback=e=>{if(!p)try{e();(()=>{if(!keepRuntimeAlive())try{_exit(c)}catch(e){handleException(e)}})()}catch\
+(e){handleException(e)}},growMemory=e=>{var t=(e-o.buffer.byteLength+65535)/65536|0;try{o.grow(t);updateMemoryViews();return 1}catch(e){}},C={},getEnvStrings=()=>{if(!getEnvStrings.strings){var e={USER:"web_user",LOGNAME:"web_user",PATH:"/",PWD:"/",HOME:"/home/web_user",LANG:("object"==typeof navigator&&navigator.languages&&navigator.languages[0]||"C").replace("-","_")+".UTF-8",_:n||"./this.program"};for(var t in C)void 0===C[t]?delete e[t]:e[t]=C[t];var a=[];for(var t in e)a.push(`${t}=${e[t]}`\
+);getEnvStrings.strings=a}return getEnvStrings.strings},lengthBytesUTF8=e=>{for(var t=0,a=0;a<e.length;++a){var r=e.charCodeAt(a);if(r<=127)t++;else if(r<=2047)t+=2;else if(r>=55296&&r<=57343){t+=4;++a}else t+=3}return t},v=[null,[],[]],F="undefined"!=typeof TextDecoder?new TextDecoder:void 0,UTF8ArrayToString=(e,t=0,a=NaN)=>{for(var r=t+a,i=t;e[i]&&!(i>=r);)++i;if(i-t>16&&e.buffer&&F)return F.decode(e.subarray(t,i));for(var n="";t<i;){var s=e[t++];if(128&s){var o=63&e[t++];if(192!=(224&s)){var \
+c=63&e[t++];if((s=224==(240&s)?(15&s)<<12|o<<6|c:(7&s)<<18|o<<12|c<<6|63&e[t++])<65536)n+=String.fromCharCode(s);else{var l=s-65536;n+=String.fromCharCode(55296|l>>10,56320|1023&l)}}else n+=String.fromCharCode((31&s)<<6|o)}else n+=String.fromCharCode(s)}return n},printChar=(e,t)=>{var a=v[e];if(0===t||10===t){(1===e?f:g)(UTF8ArrayToString(a));a.length=0}else a.push(t)},UTF8ToString=(e,t)=>e?UTF8ArrayToString(h,e,t):"";r.noExitRuntime&&(x=r.noExitRuntime);r.print&&(f=r.print);r.printErr&&(g=r.pri\
+ntErr);r.wasmBinary&&r.wasmBinary;r.arguments&&r.arguments;r.thisProgram&&(n=r.thisProgram);r.writeArrayToMemory=(e,t)=>{l.set(e,t)};var T={l:()=>function abort(e){r.onAbort?.(e);g(e="Aborted("+e+")");p=!0;e+=". Build with -sASSERTIONS for more info.";var t=new WebAssembly.RuntimeError(e);a(t);throw t}(""),k:()=>{x=!1;S=0},m:(e,t)=>{if(k[e]){clearTimeout(k[e].id);delete k[e]}if(!t)return 0;var a=setTimeout((()=>{delete k[e];callUserCallback((()=>M(e,performance.now())))}),t);k[e]={id:a,timeout_m\
+s:t};return 0},g:function _copy_pixels_1(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(t),i=u.subarray(e,e+t);a.set(i)},f:function _copy_pixels_3(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(3*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e<i;e++){n[3*e]=s[e];n[3*e+1]=o[e];n[3*e+2]=c[e]}},e:function _copy_pixels_4(e,t,a,i,n){e>>=2;t>>=2;a>>=2;i>>=2;const s=r.imageData=new Uint8ClampedArray(4*n),o=u.subarray(e,e+n),c=u.subarray(t,t+n),l=\
+u.subarray(a,a+n),h=u.subarray(i,i+n);for(let e=0;e<n;e++){s[4*e]=o[e];s[4*e+1]=c[e];s[4*e+2]=l[e];s[4*e+3]=h[e]}},n:e=>{var t,a,r=h.length,i=2147483648;if((e>>>=0)>i)return!1;for(var n=1;n<=4;n*=2){var s=r*(1+.2/n);s=Math.min(s,e+100663296);var o=Math.min(i,(t=Math.max(e,s),a=65536,Math.ceil(t/a)*a));if(growMemory(o))return!0}return!1},p:(e,t)=>{var a=0,r=0;for(var i of getEnvStrings()){var n=t+a;d[e+r>>2]=n;a+=((e,t,a,r)=>{if(!(r>0))return 0;for(var i=a,n=a+r-1,s=0;s<e.length;++s){var o=e.char\
+CodeAt(s);o>=55296&&o<=57343&&(o=65536+((1023&o)<<10)|1023&e.charCodeAt(++s));if(o<=127){if(a>=n)break;t[a++]=o}else if(o<=2047){if(a+1>=n)break;t[a++]=192|o>>6;t[a++]=128|63&o}else if(o<=65535){if(a+2>=n)break;t[a++]=224|o>>12;t[a++]=128|o>>6&63;t[a++]=128|63&o}else{if(a+3>=n)break;t[a++]=240|o>>18;t[a++]=128|o>>12&63;t[a++]=128|o>>6&63;t[a++]=128|63&o}}t[a]=0;return a-i})(i,h,n,1/0)+1;r+=4}return 0},q:(e,t)=>{var a=getEnvStrings();d[e>>2]=a.length;var r=0;for(var i of a)r+=lengthBytesUTF8(i)+1\
+;d[t>>2]=r;return 0},b:e=>52,o:function _fd_seek(e,t,a,r){t=(i=t)<-9007199254740992||i>9007199254740992?NaN:Number(i);var i;return 70},c:(e,t,a,r)=>{for(var i=0,n=0;n<a;n++){var s=d[t>>2],o=d[t+4>>2];t+=8;for(var c=0;c<o;c++)printChar(e,h[s+c]);i+=o}d[r>>2]=i;return 0},r:function _gray_to_rgba(e,t){e>>=2;const a=r.imageData=new Uint8ClampedArray(4*t),i=u.subarray(e,e+t);for(let e=0;e<t;e++){a[4*e]=a[4*e+1]=a[4*e+2]=i[e];a[4*e+3]=255}},i:function _graya_to_rgba(e,t,a){e>>=2;t>>=2;const i=r.imageD\
+ata=new Uint8ClampedArray(4*a),n=u.subarray(e,e+a),s=u.subarray(t,t+a);for(let e=0;e<a;e++){i[4*e]=i[4*e+1]=i[4*e+2]=n[e];i[4*e+3]=s[e]}},d:function _jsPrintWarning(e){const t=UTF8ToString(e);(r.warn||console.warn)(`OpenJPEG: ${t}`)},j:_proc_exit,h:function _rgb_to_rgba(e,t,a,i){e>>=2;t>>=2;a>>=2;const n=r.imageData=new Uint8ClampedArray(4*i),s=u.subarray(e,e+i),o=u.subarray(t,t+i),c=u.subarray(a,a+i);for(let e=0;e<i;e++){n[4*e]=s[e];n[4*e+1]=o[e];n[4*e+2]=c[e];n[4*e+3]=255}},a:function _storeEr\
+rorMessage(e){const t=UTF8ToString(e);r.errorMessages?r.errorMessages+="\\n"+t:r.errorMessages=t}},O=await async function createWasm(){function receiveInstance(e,t){O=e.exports;o=O.s;updateMemoryViews();!function removeRunDependency(e){m--;r.monitorRunDependencies?.(m);if(0==m&&b){var t=b;b=null;t()}}();return O}!function addRunDependency(e){m++;r.monitorRunDependencies?.(m)}();var e=function getWasmImports(){return{a:T}}();return new Promise(((t,a)=>{r.instantiateWasm(e,((e,a)=>{t(receiveInstanc\
+e(e))}))}))}(),M=(O.t,r._malloc=O.u,r._free=O.v,r._jp2_decode=O.w,O.x);!function preInit(){if(r.preInit){"function"==typeof r.preInit&&(r.preInit=[r.preInit]);for(;r.preInit.length>0;)r.preInit.shift()()}}();!function run(){if(m>0)b=run;else{!function preRun(){if(r.preRun){"function"==typeof r.preRun&&(r.preRun=[r.preRun]);for(;r.preRun.length;)addOnPreRun(r.preRun.shift())}callRuntimeCallbacks(w)}();if(m>0)b=run;else if(r.setStatus){r.setStatus("Running...");setTimeout((()=>{setTimeout((()=>r.s\
+etStatus("")),1);doRun()}),1)}else doRun()}function doRun(){r.calledRun=!0;if(!p){!function initRuntime(){O.t()}();t(r);r.onRuntimeInitialized?.();!function postRun(){if(r.postRun){"function"==typeof r.postRun&&(r.postRun=[r.postRun]);for(;r.postRun.length;)addOnPostRun(r.postRun.shift())}callRuntimeCallbacks(y)}()}}}();return i};const Ga=OpenJPEG;class JpxError extends fa{constructor(e){super(e,"JpxError")}}class JpxImage{static#E=null;static#P=null;static#L=null;static#v=!0;static#j=!0;static#\
+F=null;static setOptions({handler:e,useWasm:t,useWorkerFetch:a,wasmUrl:r}){this.#v=t;this.#j=a;this.#F=r;a||(this.#P=e)}static async#_(e){const t=`${this.#F}openjpeg_nowasm_fallback.js`;let a=null;try{a=(await import(\n/*webpackIgnore: true*/\n/*@vite-ignore*/\nt)).default()}catch(e){warn(`JpxImage#getJsModule: ${e}`)}e(a)}static async#U(e,t,a){const r="openjpeg.wasm";try{this.#E||(this.#j?this.#E=await fetchBinaryData(`${this.#F}${r}`):this.#E=await this.#P.sendWithPromise("FetchBinaryData",{type:\
+"wasmFactory",filename:r}));return a((await WebAssembly.instantiate(this.#E,t)).instance)}catch(t){warn(`JpxImage#instantiateWasm: ${t}`);this.#_(e);return null}finally{this.#P=null}}static async decode(e,{numComponents:t=4,isIndexedColormap:a=!1,smaskInData:r=!1,reducePower:i=0}={}){if(!this.#L){const{promise:e,resolve:t}=Promise.withResolvers(),a=[e];this.#v?a.push(Ga({warn,instantiateWasm:this.#U.bind(this,t)})):this.#_(t);this.#L=Promise.race(a)}const n=await this.#L;if(!n)throw new JpxError\
+("OpenJPEG failed to initialize");let s;try{const o=e.length;s=n._malloc(o);n.writeArrayToMemory(e,s);if(n._jp2_decode(s,o,t>0?t:0,!!a,!!r,i)){const{errorMessages:e}=n;if(e){delete n.errorMessages;throw new JpxError(e)}throw new JpxError("Unknown error")}const{imageData:c}=n;n.imageData=null;return c}finally{s&&n._free(s)}}static cleanup(){this.#L=null}static parseImageProperties(e){let t=e.getByte();for(;t>=0;){const a=t;t=e.getByte();if(65361===(a<<8|t)){e.skip(4);const t=e.getInt32()>>>0,a=e.\
+getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0;e.skip(16);return{width:t-r,height:a-i,bitsPerComponent:8,componentsCount:e.getUint16()}}}throw new JpxError("No size marker found in JPX stream")}}function addState(e,t,a,r,i){let n=e;for(let e=0,a=t.length-1;e<a;e++){const a=t[e];n=n[a]||=[]}n[t.at(-1)]={checkFn:a,iterateFn:r,processFn:i}}const Va=[];addState(Va,[Be,Ne,Yt,Re],null,(function iterateInlineImageGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;c\
+ase 1:return a[t]===Ne;case 2:return a[t]===Yt;case 3:return a[t]===Re}throw new Error(`iterateInlineImageGroup - invalid pos: ${r}`)}),(function foundInlineImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1,c=Math.min(Math.floor((t-n)/4),200);if(c<10)return t-(t-n)%4;let l=0;const h=[];let u=0,d=1,f=1;for(let e=0;e<c;e++){const t=r[s+(e<<2)],a=r[o+(e<<2)][0];if(d+a.width>1e3){l=Math.max(l,d);f+=u+2;d=0;u=0}h.push({transform:t,x:d,y:f,w:a.width,h:a.height});d+=a.width+2;\
+u=Math.max(u,a.height)}const g=Math.max(l,d)+1,p=f+u+1,m=new Uint8Array(g*p*4),b=g<<2;for(let e=0;e<c;e++){const t=r[o+(e<<2)][0].data,a=h[e].w<<2;let i=0,n=h[e].x+h[e].y*g<<2;m.set(t.subarray(0,a),n-b);for(let r=0,s=h[e].h;r<s;r++){m.set(t.subarray(i,i+a),n);i+=a;n+=b}m.set(t.subarray(i-a,i),n);for(;n>=0;){t[n-4]=t[n];t[n-3]=t[n+1];t[n-2]=t[n+2];t[n-1]=t[n+3];t[n+a]=t[n+a-4];t[n+a+1]=t[n+a-3];t[n+a+2]=t[n+a-2];t[n+a+3]=t[n+a-1];n-=b}}const y={width:g,height:p};if(e.isOffscreenCanvasSupported){c\
+onst e=new OffscreenCanvas(g,p);e.getContext("2d").putImageData(new ImageData(new Uint8ClampedArray(m.buffer),g,p),0,0);y.bitmap=e.transferToImageBitmap();y.data=null}else{y.kind=v;y.data=m}a.splice(n,4*c,Zt);r.splice(n,4*c,[y,h]);return n+1}));addState(Va,[Be,Ne,Vt,Re],null,(function iterateImageMaskGroup(e,t){const a=e.fnArray,r=(t-(e.iCurr-3))%4;switch(r){case 0:return a[t]===Be;case 1:return a[t]===Ne;case 2:return a[t]===Vt;case 3:return a[t]===Re}throw new Error(`iterateImageMaskGroup - in\
+valid pos: ${r}`)}),(function foundImageMaskGroup(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=i-1;let c=Math.floor((t-n)/4);if(c<10)return t-(t-n)%4;let l,h,u=!1;const d=r[o][0],f=r[s][0],g=r[s][1],p=r[s][2],m=r[s][3];if(g===p){u=!0;l=s+4;let e=o+4;for(let t=1;t<c;t++,l+=4,e+=4){h=r[l];if(r[e][0]!==d||h[0]!==f||h[1]!==g||h[2]!==p||h[3]!==m){t<10?u=!1:c=t;break}}}if(u){c=Math.min(c,1e3);const e=new Float32Array(2*c);l=s;for(let t=0;t<c;t++,l+=4){h=r[l];e[t<<1]=h[4];e[1+(t<<1)]=h[\
+5]}a.splice(n,4*c,ea);r.splice(n,4*c,[d,f,g,p,m,e])}else{c=Math.min(c,100);const e=[];for(let t=0;t<c;t++){h=r[s+(t<<2)];const a=r[o+(t<<2)][0];e.push({data:a.data,width:a.width,height:a.height,interpolate:a.interpolate,count:a.count,transform:h})}a.splice(n,4*c,Kt);r.splice(n,4*c,[e])}return n+1}));addState(Va,[Be,Ne,Jt,Re],(function(e){const t=e.argsArray,a=e.iCurr-2;return 0===t[a][1]&&0===t[a][2]}),(function iterateImageGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-3))%4;switch(i)\
+{case 0:return a[t]===Be;case 1:if(a[t]!==Ne)return!1;const i=e.iCurr-2,n=r[i][0],s=r[i][3];return r[t][0]===n&&0===r[t][1]&&0===r[t][2]&&r[t][3]===s;case 2:if(a[t]!==Jt)return!1;const o=r[e.iCurr-1][0];return r[t][0]===o;case 3:return a[t]===Re}throw new Error(`iterateImageGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-3,s=i-2,o=r[i-1][0],c=r[s][0],l=r[s][3],h=Math.min(Math.floor((t-n)/4),1e3);if(h<3)return t-(t-n)%4;const u=new Float32Array(2*h);let \
+d=s;for(let e=0;e<h;e++,d+=4){const t=r[d];u[e<<1]=t[4];u[1+(e<<1)]=t[5]}const f=[o,c,l,u];a.splice(n,4*h,Qt);r.splice(n,4*h,f);return n+1}));addState(Va,[Qe,nt,ht,dt,et],null,(function iterateShowTextGroup(e,t){const a=e.fnArray,r=e.argsArray,i=(t-(e.iCurr-4))%5;switch(i){case 0:return a[t]===Qe;case 1:return a[t]===nt;case 2:return a[t]===ht;case 3:if(a[t]!==dt)return!1;const i=e.iCurr-3,n=r[i][0],s=r[i][1];return r[t][0]===n&&r[t][1]===s;case 4:return a[t]===et}throw new Error(`iterateShowTex\
+tGroup - invalid pos: ${i}`)}),(function(e,t){const a=e.fnArray,r=e.argsArray,i=e.iCurr,n=i-4,s=i-3,o=i-2,c=i-1,l=i,h=r[s][0],u=r[s][1];let d=Math.min(Math.floor((t-n)/5),1e3);if(d<3)return t-(t-n)%5;let f=n;if(n>=4&&a[n-4]===a[s]&&a[n-3]===a[o]&&a[n-2]===a[c]&&a[n-1]===a[l]&&r[n-4][0]===h&&r[n-4][1]===u){d++;f-=5}let g=f+4;for(let e=1;e<d;e++){a.splice(g,3);r.splice(g,3);g+=2}return g+1}));addState(Va,[Be,Ne,aa,Re],(e=>{const t=e.argsArray,a=t[e.iCurr-1][0];if(a!==qe&&a!==He&&a!==$e&&a!==Ge&&a!\
+==Ve&&a!==Ke)return!0;const r=t[e.iCurr-2];return 1===r[0]&&0===r[1]&&0===r[2]&&1===r[3]}),(()=>!1),((e,t)=>{const{fnArray:a,argsArray:r}=e,i=e.iCurr,n=i-3,s=i-2,o=r[i-1],c=r[s],[,[l],h]=o;if(h){Util.scaleMinMax(c,h);for(let e=0,t=l.length;e<t;)switch(l[e++]){case sa:case oa:Util.applyTransform(l,c,e);e+=2;break;case ca:Util.applyTransformToBezier(l,c,e);e+=6}}a.splice(n,4,aa);r.splice(n,4,o);return n+1}));class NullOptimizer{constructor(e){this.queue=e}_optimize(){}push(e,t){this.queue.fnArray.\
+push(e);this.queue.argsArray.push(t);this._optimize()}flush(){}reset(){}}class QueueOptimizer extends NullOptimizer{constructor(e){super(e);this.state=null;this.context={iCurr:0,fnArray:e.fnArray,argsArray:e.argsArray,isOffscreenCanvasSupported:OperatorList.isOffscreenCanvasSupported};this.match=null;this.lastProcessed=0}_optimize(){const e=this.queue.fnArray;let t=this.lastProcessed,a=e.length,r=this.state,i=this.match;if(!r&&!i&&t+1===a&&!Va[e[t]]){this.lastProcessed=a;return}const n=this.cont\
+ext;for(;t<a;){if(i){if((0,i.iterateFn)(n,t)){t++;continue}t=(0,i.processFn)(n,t+1);a=e.length;i=null;r=null;if(t>=a)break}r=(r||Va)[e[t]];if(r&&!Array.isArray(r)){n.iCurr=t;t++;if(!r.checkFn||(0,r.checkFn)(n)){i=r;r=null}else r=null}else t++}this.state=r;this.match=i;this.lastProcessed=t}flush(){for(;this.match;){const e=this.queue.fnArray.length;this.lastProcessed=(0,this.match.processFn)(this.context,e);this.match=null;this.state=null;this._optimize()}}reset(){this.state=null;this.match=null;\
+this.lastProcessed=0}}class OperatorList{static CHUNK_SIZE=1e3;static CHUNK_SIZE_ABOUT=this.CHUNK_SIZE-5;static isOffscreenCanvasSupported=!1;constructor(e=0,t){this._streamSink=t;this.fnArray=[];this.argsArray=[];this.optimizer=!t||e&d?new NullOptimizer(this):new QueueOptimizer(this);this.dependencies=new Set;this._totalLength=0;this.weight=0;this._resolved=t?null:Promise.resolve()}static setOptions({isOffscreenCanvasSupported:e}){this.isOffscreenCanvasSupported=e}get length(){return this.argsA\
+rray.length}get ready(){return this._resolved||this._streamSink.ready}get totalLength(){return this._totalLength+this.length}addOp(e,t){this.optimizer.push(e,t);this.weight++;this._streamSink&&(this.weight>=OperatorList.CHUNK_SIZE||this.weight>=OperatorList.CHUNK_SIZE_ABOUT&&(e===Re||e===et))&&this.flush()}addImageOps(e,t,a,r=!1){if(r){this.addOp(Be);this.addOp(De,[[["SMask",!1]]])}void 0!==a&&this.addOp(jt,["OC",a]);this.addOp(e,t);void 0!==a&&this.addOp(_t,[]);r&&this.addOp(Re)}addDependency(e\
+){if(!this.dependencies.has(e)){this.dependencies.add(e);this.addOp(ke,[e])}}addDependencies(e){for(const t of e)this.addDependency(t)}addOpList(e){if(e instanceof OperatorList){for(const t of e.dependencies)this.dependencies.add(t);for(let t=0,a=e.length;t<a;t++)this.addOp(e.fnArray[t],e.argsArray[t])}else warn(\'addOpList - ignoring invalid "opList" parameter.\')}getIR(){return{fnArray:this.fnArray,argsArray:this.argsArray,length:this.length}}get _transfers(){const e=[],{fnArray:t,argsArray:a,le\
+ngth:r}=this;for(let i=0;i<r;i++)switch(t[i]){case Yt:case Zt:case Vt:{const{bitmap:t,data:r}=a[i][0];(t||r?.buffer)&&e.push(t||r.buffer);break}case aa:{const[,[t],r]=a[i];t&&e.push(t.buffer,r.buffer);break}case qt:const[t,r]=a[i];t&&e.push(t.buffer);r&&e.push(r.buffer);break;case ht:e.push(a[i][0].buffer)}return e}flush(e=!1,t=null){this.optimizer.flush();const a=this.length;this._totalLength+=a;this._streamSink.enqueue({fnArray:this.fnArray,argsArray:this.argsArray,lastChunk:e,separateAnnots:t\
+,length:a},1,this._transfers);this.dependencies.clear();this.fnArray.length=0;this.argsArray.length=0;this.weight=0;this.optimizer.reset()}}function hexToInt(e,t){let a=0;for(let r=0;r<=t;r++)a=a<<8|e[r];return a>>>0}function hexToStr(e,t){return 1===t?String.fromCharCode(e[0],e[1]):3===t?String.fromCharCode(e[0],e[1],e[2],e[3]):String.fromCharCode(...e.subarray(0,t+1))}function addHex(e,t,a){let r=0;for(let i=a;i>=0;i--){r+=e[i]+t[i];e[i]=255&r;r>>=8}}function incHex(e,t){let a=1;for(let r=t;r>\
+=0&&a>0;r--){a+=e[r];e[r]=255&a;a>>=8}}const Ka=16;class BinaryCMapStream{constructor(e){this.buffer=e;this.pos=0;this.end=e.length;this.tmpBuf=new Uint8Array(19)}readByte(){return this.pos>=this.end?-1:this.buffer[this.pos++]}readNumber(){let e,t=0;do{const a=this.readByte();if(a<0)throw new FormatError("unexpected EOF in bcmap");e=!(128&a);t=t<<7|127&a}while(!e);return t}readSigned(){const e=this.readNumber();return 1&e?~(e>>>1):e>>>1}readHex(e,t){e.set(this.buffer.subarray(this.pos,this.pos+t\
++1));this.pos+=t+1}readHexNumber(e,t){let a;const r=this.tmpBuf;let i=0;do{const e=this.readByte();if(e<0)throw new FormatError("unexpected EOF in bcmap");a=!(128&e);r[i++]=127&e}while(!a);let n=t,s=0,o=0;for(;n>=0;){for(;o<8&&r.length>0;){s|=r[--i]<<o;o+=7}e[n]=255&s;n--;s>>=8;o-=8}}readHexSigned(e,t){this.readHexNumber(e,t);const a=1&e[t]?255:0;let r=0;for(let i=0;i<=t;i++){r=(1&r)<<8|e[i];e[i]=r>>1^a}}readString(){const e=this.readNumber(),t=new Array(e);for(let a=0;a<e;a++)t[a]=this.readNumb\
+er();return String.fromCharCode(...t)}}class BinaryCMapReader{async process(e,t,a){const r=new BinaryCMapStream(e),i=r.readByte();t.vertical=!!(1&i);let n=null;const s=new Uint8Array(Ka),o=new Uint8Array(Ka),c=new Uint8Array(Ka),l=new Uint8Array(Ka),h=new Uint8Array(Ka);let u,d;for(;(d=r.readByte())>=0;){const e=d>>5;if(7===e){switch(31&d){case 0:r.readString();break;case 1:n=r.readString()}continue}const a=!!(16&d),i=15&d;if(i+1>Ka)throw new Error("BinaryCMapReader.process: Invalid dataSize.");\
+const f=1,g=r.readNumber();switch(e){case 0:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i));for(let e=1;e<g;e++){incHex(o,i);r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);t.addCodespaceRange(i+1,hexToInt(s,i),hexToInt(o,i))}break;case 1:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber();for(let e=1;e<g;e++){incHex(o,i);r.readHexNumber(s,i);addHex(s,o,i);r.readHexNumber(o,i);addHex(o,s,i);r.readNumber()}b\
+reak;case 2:r.readHex(c,i);u=r.readNumber();t.mapOne(hexToInt(c,i),u);for(let e=1;e<g;e++){incHex(c,i);if(!a){r.readHexNumber(h,i);addHex(c,h,i)}u=r.readSigned()+(u+1);t.mapOne(hexToInt(c,i),u)}break;case 3:r.readHex(s,i);r.readHexNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),u);for(let e=1;e<g;e++){incHex(o,i);if(a)s.set(o);else{r.readHexNumber(s,i);addHex(s,o,i)}r.readHexNumber(o,i);addHex(o,s,i);u=r.readNumber();t.mapCidRange(hexToInt(s,i),hexToInt(o,i),\
+u)}break;case 4:r.readHex(c,f);r.readHex(l,i);t.mapOne(hexToInt(c,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(c,f);if(!a){r.readHexNumber(h,f);addHex(c,h,f)}incHex(l,i);r.readHexSigned(h,i);addHex(l,h,i);t.mapOne(hexToInt(c,f),hexToStr(l,i))}break;case 5:r.readHex(s,f);r.readHexNumber(o,f);addHex(o,s,f);r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i));for(let e=1;e<g;e++){incHex(o,f);if(a)s.set(o);else{r.readHexNumber(s,f);addHex(s,o,f)}r.readHexNumber(o,f);addHex(o,s,f);\
+r.readHex(l,i);t.mapBfRange(hexToInt(s,f),hexToInt(o,f),hexToStr(l,i))}break;default:throw new Error(`BinaryCMapReader.process - unknown type: ${e}`)}}return n?a(n):t}}class Ascii85Stream extends DecodeStream{constructor(e,t){t&&(t*=.8);super(t);this.str=e;this.dict=e.dict;this.input=new Uint8Array(5)}readBlock(){const e=this.str;let t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();if(-1===t||126===t){this.eof=!0;return}const a=this.bufferLength;let r,i;if(122===t){r=this.ensureBuffer(a+4);for(\
+i=0;i<4;++i)r[a+i]=0;this.bufferLength+=4}else{const n=this.input;n[0]=t;for(i=1;i<5;++i){t=e.getByte();for(;isWhiteSpace(t);)t=e.getByte();n[i]=t;if(-1===t||126===t)break}r=this.ensureBuffer(a+i-1);this.bufferLength+=i-1;if(i<5){for(;i<5;++i)n[i]=117;this.eof=!0}let s=0;for(i=0;i<5;++i)s=85*s+(n[i]-33);for(i=3;i>=0;--i){r[a+i]=255&s;s>>=8}}}}class AsciiHexStream extends DecodeStream{constructor(e,t){t&&(t*=.5);super(t);this.str=e;this.dict=e.dict;this.firstDigit=-1}readBlock(){const e=this.str.\
+getBytes(8e3);if(!e.length){this.eof=!0;return}const t=e.length+1>>1,a=this.ensureBuffer(this.bufferLength+t);let r=this.bufferLength,i=this.firstDigit;for(const t of e){let e;if(t>=48&&t<=57)e=15&t;else{if(!(t>=65&&t<=70||t>=97&&t<=102)){if(62===t){this.eof=!0;break}continue}e=9+(15&t)}if(i<0)i=e;else{a[r++]=i<<4|e;i=-1}}if(i>=0&&this.eof){a[r++]=i<<4;i=-1}this.firstDigit=i;this.bufferLength=r}}const Ja=-1,Ya=[[-1,-1],[-1,-1],[7,8],[7,7],[6,6],[6,6],[6,5],[6,5],[4,0],[4,0],[4,0],[4,0],[4,0],[4,\
+0],[4,0],[4,0],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2]\
+,[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2],[1,2]],Za=[[-1,-1],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[12,1984],[12,2048],[12,2112],[12,2176],[12,2240],[12,2304],[11,1856],[11,1856],[11,1920],[11,1920],[12,2368],[12,2432],[12,2496],[12,2560]],Qa=[[-1,-1],[-1,-1]\
+,[-1,-1],[-1,-1],[8,29],[8,29],[8,30],[8,30],[8,45],[8,45],[8,46],[8,46],[7,22],[7,22],[7,22],[7,22],[7,23],[7,23],[7,23],[7,23],[8,47],[8,47],[8,48],[8,48],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[6,13],[7,20],[7,20],[7,20],[7,20],[8,33],[8,33],[8,34],[8,34],[8,35],[8,35],[8,36],[8,36],[8,37],[8,37],[8,38],[8,38],[7,19],[7,19],[7,19],[7,19],[8,31],[8,31],[8,32],[8,32],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,1],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[6,12],[8,53],[8,53],[\
+8,54],[8,54],[7,26],[7,26],[7,26],[7,26],[8,39],[8,39],[8,40],[8,40],[8,41],[8,41],[8,42],[8,42],[8,43],[8,43],[8,44],[8,44],[7,21],[7,21],[7,21],[7,21],[7,28],[7,28],[7,28],[7,28],[8,61],[8,61],[8,62],[8,62],[8,63],[8,63],[8,0],[8,0],[8,320],[8,320],[8,384],[8,384],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,10],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[5,11],[7,27],[7\
+,27],[7,27],[7,27],[8,59],[8,59],[8,60],[8,60],[9,1472],[9,1536],[9,1600],[9,1728],[7,18],[7,18],[7,18],[7,18],[7,24],[7,24],[7,24],[7,24],[8,49],[8,49],[8,50],[8,50],[8,51],[8,51],[8,52],[8,52],[7,25],[7,25],[7,25],[7,25],[8,55],[8,55],[8,56],[8,56],[8,57],[8,57],[8,58],[8,58],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,192],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[6,1664],[8,448],[8,448],[8,512],[8,512],[9,704],[9,768],[8,640],[8,640],[8,576],[8,576],[9,83\
+2],[9,896],[9,960],[9,1024],[9,1088],[9,1152],[9,1216],[9,1280],[9,1344],[9,1408],[7,256],[7,256],[7,256],[7,256],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,2],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[4,3],[5\
+,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,128],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,8],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[5,9],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,16],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[6,17],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4\
+],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,4],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[4,5],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,14],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[6,15],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,64],[5,6\
+4],[5,64],[5,64],[5,64],[5,64],[5,64],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,6],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7],[4,7]],er=[[-1,-1],[-1,-1],[12,-2],[12,-2],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[\
+-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[-1,-1],[11,1792],[11,1792],[11,1792],[11,1792],[12,1984],[12,1984],[12,2048],[12,2048],[12,2112],[12,2112],[12,2176],[12,2176],[12,2240],[12,2240],[12,2304],[12,2304],[11,1856],[11,1856],[11,1856],[11,1856],[11,1920],[11,1920],[11,1920],[11,1920],[12,2368],[12,2368],[12,2432],[12,2432],[12,2496],[12,2496],[12,2560],[12,256\
+0],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[10,18],[12,52],[12,52],[13,640],[13,704],[13,768],[13,832],[12,55],[12,55],[12,56],[12,56],[13,1280],[13,1344],[13,1408],[13,1472],[12,59],[12,59],[12,60],[12,60],[13,1536],[13,1600],[11,24],[11,24],[11,24],[11,24],[11,25],[11,25],[11,25],[11,25],[13,1664],[13,1728],[12,320],[12,320],[12,384],[12,384],[12,448],[12,448],[13,512],[13,576],[12,53],[12,53],[12,54],[12,54],[13,896],[13,960],[13,1024],[13,1088],[13,1152],[13,1216],[10,64],[10\
+,64],[10,64],[10,64],[10,64],[10,64],[10,64],[10,64]],tr=[[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[8,13],[11,23],[11,23],[12,50],[12,51],[12,44],[12,45],[12,46],[12,47],[12,57],[12,58],[12,61],[12,256],[10,16],[10,16],[10,16],[10,16],[10,17],[10,17],[10,17],[10,17],[12,48],[12,49],[12,62],[12,63],[12,30],[12,31],[12,32],[12,33],[12,40],[12,41],[11,22],[11,22],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,14],[8,\
+14],[8,14],[8,14],[8,14],[8,14],[8,14],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,10],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[7,11],[9,15],[9,15]\
+,[9,15],[9,15],[9,15],[9,15],[9,15],[9,15],[12,128],[12,192],[12,26],[12,27],[12,28],[12,29],[11,19],[11,19],[11,20],[11,20],[12,34],[12,35],[12,36],[12,37],[12,38],[12,39],[11,21],[11,21],[12,42],[12,43],[10,0],[10,0],[10,0],[10,0],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12],[7,12]],ar=[[-1,-1],[-1,-1],[-1,-1],[-1,-1],[6,9],\
+[6,8],[5,7],[5,7],[4,6],[4,6],[4,6],[4,6],[4,5],[4,5],[4,5],[4,5],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,1],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[3,4],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,3],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2],[2,2]];class CCITTFaxDecoder{constructor(e,t={}){if("function"!=typeof e?.next)throw new Error(\'CCITTFaxDecoder - invalid "source" parameter.\');this.sou\
+rce=e;this.eof=!1;this.encoding=t.K||0;this.eoline=t.EndOfLine||!1;this.byteAlign=t.EncodedByteAlign||!1;this.columns=t.Columns||1728;this.rows=t.Rows||0;this.eoblock=t.EndOfBlock??!0;this.black=t.BlackIs1||!1;this.codingLine=new Uint32Array(this.columns+1);this.refLine=new Uint32Array(this.columns+2);this.codingLine[0]=this.columns;this.codingPos=0;this.row=0;this.nextLine2D=this.encoding<0;this.inputBits=0;this.inputBuf=0;this.outputBits=0;this.rowsDone=!1;let a;for(;0===(a=this._lookBits(12))\
+;)this._eatBits(1);1===a&&this._eatBits(12);if(this.encoding>0){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}}readNextChar(){if(this.eof)return-1;const e=this.refLine,t=this.codingLine,a=this.columns;let r,i,n,s,o;if(0===this.outputBits){this.rowsDone&&(this.eof=!0);if(this.eof)return-1;this.err=!1;let n,o,c;if(this.nextLine2D){for(s=0;t[s]<a;++s)e[s]=t[s];e[s++]=a;e[s]=a;t[0]=0;this.codingPos=0;r=0;i=0;for(;t[this.codingPos]<a;){n=this._getTwoDimCode();switch(n){case 0:this._addPixels(e[\
+r+1],i);e[r+1]<a&&(r+=2);break;case 1:n=o=0;if(i){do{n+=c=this._getBlackCode()}while(c>=64);do{o+=c=this._getWhiteCode()}while(c>=64)}else{do{n+=c=this._getWhiteCode()}while(c>=64);do{o+=c=this._getBlackCode()}while(c>=64)}this._addPixels(t[this.codingPos]+n,i);t[this.codingPos]<a&&this._addPixels(t[this.codingPos]+o,1^i);for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2;break;case 7:this._addPixels(e[r]+3,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 5:this.\
+_addPixels(e[r]+2,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 3:this._addPixels(e[r]+1,i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 2:this._addPixels(e[r],i);i^=1;if(t[this.codingPos]<a){++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 8:this._addPixelsNeg(e[r]-3,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 6:this._addPixelsNeg(e[r]-2,i);i^=1;if\
+(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case 4:this._addPixelsNeg(e[r]-1,i);i^=1;if(t[this.codingPos]<a){r>0?--r:++r;for(;e[r]<=t[this.codingPos]&&e[r]<a;)r+=2}break;case Ja:this._addPixels(a,0);this.eof=!0;break;default:info("bad 2d code");this._addPixels(a,0);this.err=!0}}}else{t[0]=0;this.codingPos=0;i=0;for(;t[this.codingPos]<a;){n=0;if(i)do{n+=c=this._getBlackCode()}while(c>=64);else do{n+=c=this._getWhiteCode()}while(c>=64);this._addPixels(t[this.\
+codingPos]+n,i);i^=1}}let l=!1;this.byteAlign&&(this.inputBits&=-8);if(this.eoblock||this.row!==this.rows-1){n=this._lookBits(12);if(this.eoline)for(;n!==Ja&&1!==n;){this._eatBits(1);n=this._lookBits(12)}else for(;0===n;){this._eatBits(1);n=this._lookBits(12)}if(1===n){this._eatBits(12);l=!0}else n===Ja&&(this.eof=!0)}else this.rowsDone=!0;if(!this.eof&&this.encoding>0&&!this.rowsDone){this.nextLine2D=!this._lookBits(1);this._eatBits(1)}if(this.eoblock&&l&&this.byteAlign){n=this._lookBits(12);if\
+(1===n){this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}if(this.encoding>=0)for(s=0;s<4;++s){n=this._lookBits(12);1!==n&&info("bad rtc code: "+n);this._eatBits(12);if(this.encoding>0){this._lookBits(1);this._eatBits(1)}}this.eof=!0}}else if(this.err&&this.eoline){for(;;){n=this._lookBits(13);if(n===Ja){this.eof=!0;return-1}if(n>>1==1)break;this._eatBits(1)}this._eatBits(12);if(this.encoding>0){this._eatBits(1);this.nextLine2D=!(1&n)}}this.outputBits=t[0]>0?t[this.codingP\
+os=0]:t[this.codingPos=1];this.row++}if(this.outputBits>=8){o=1&this.codingPos?0:255;this.outputBits-=8;if(0===this.outputBits&&t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}}else{n=8;o=0;do{if("number"!=typeof this.outputBits)throw new FormatError(\'Invalid /CCITTFaxDecode data, "outputBits" must be a number.\');if(this.outputBits>n){o<<=n;1&this.codingPos||(o|=255>>8-n);this.outputBits-=n;n=0}else{o<<=this.outputBits;1&this.codingPos||(o|=255>>8-this\
+.outputBits);n-=this.outputBits;this.outputBits=0;if(t[this.codingPos]<a){this.codingPos++;this.outputBits=t[this.codingPos]-t[this.codingPos-1]}else if(n>0){o<<=n;n=0}}}while(n)}this.black&&(o^=255);return o}_addPixels(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wrong length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}this.codingPos=r}_addPixelsNeg(e,t){const a=this.codingLine;let r=this.codingPos;if(e>a[r]){if(e>this.columns){info("row is wro\
+ng length");this.err=!0;e=this.columns}1&r^t&&++r;a[r]=e}else if(e<a[r]){if(e<0){info("invalid code");this.err=!0;e=0}for(;r>0&&e<a[r-1];)--r;a[r]=e}this.codingPos=r}_findTableCode(e,t,a,r){const i=r||0;for(let r=e;r<=t;++r){let e=this._lookBits(r);if(e===Ja)return[!0,1,!1];r<t&&(e<<=t-r);if(!i||e>=i){const t=a[e-i];if(t[0]===r){this._eatBits(r);return[!0,t[1],!0]}}}return[!1,0,!1]}_getTwoDimCode(){let e,t=0;if(this.eoblock){t=this._lookBits(7);e=Ya[t];if(e?.[0]>0){this._eatBits(e[0]);return e[1\
+]}}else{const e=this._findTableCode(1,7,Ya);if(e[0]&&e[2])return e[1]}info("Bad two dim code");return Ja}_getWhiteCode(){let e,t=0;if(this.eoblock){t=this._lookBits(12);if(t===Ja)return 1;e=t>>5?Qa[t>>3]:Za[t];if(e[0]>0){this._eatBits(e[0]);return e[1]}}else{let e=this._findTableCode(1,9,Qa);if(e[0])return e[1];e=this._findTableCode(11,12,Za);if(e[0])return e[1]}info("bad white code");this._eatBits(1);return 1}_getBlackCode(){let e,t;if(this.eoblock){e=this._lookBits(13);if(e===Ja)return 1;t=e>>\
+7?!(e>>9)&&e>>7?tr[(e>>1)-64]:ar[e>>7]:er[e];if(t[0]>0){this._eatBits(t[0]);return t[1]}}else{let e=this._findTableCode(2,6,ar);if(e[0])return e[1];e=this._findTableCode(7,12,tr,64);if(e[0])return e[1];e=this._findTableCode(10,13,er);if(e[0])return e[1]}info("bad black code");this._eatBits(1);return 1}_lookBits(e){let t;for(;this.inputBits<e;){if(-1===(t=this.source.next()))return 0===this.inputBits?Ja:this.inputBuf<<e-this.inputBits&65535>>16-e;this.inputBuf=this.inputBuf<<8|t;this.inputBits+=8\
+}return this.inputBuf>>this.inputBits-e&65535>>16-e}_eatBits(e){(this.inputBits-=e)<0&&(this.inputBits=0)}}class CCITTFaxStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;a instanceof Dict||(a=Dict.empty);const r={next:()=>e.getByte()};this.ccittFaxDecoder=new CCITTFaxDecoder(r,{K:a.get("K"),EndOfLine:a.get("EndOfLine"),EncodedByteAlign:a.get("EncodedByteAlign"),Columns:a.get("Columns"),Rows:a.get("Rows"),EndOfBlock:a.get("EndOfBlock"),BlackIs1:a.get("BlackIs1")\
+})}readBlock(){for(;!this.eof;){const e=this.ccittFaxDecoder.readNextChar();if(-1===e){this.eof=!0;return}this.ensureBuffer(this.bufferLength+1);this.buffer[this.bufferLength++]=e}}}const rr=new Int32Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),ir=new Int32Array([3,4,5,6,7,8,9,10,65547,65549,65551,65553,131091,131095,131099,131103,196643,196651,196659,196667,262211,262227,262243,262259,327811,327843,327875,327907,258,258,258]),nr=new Int32Array([1,2,3,4,65541,65543,131081,131085,19662\
+5,196633,262177,262193,327745,327777,393345,393409,459009,459137,524801,525057,590849,591361,657409,658433,724993,727041,794625,798721,868353,876545]),sr=[new Int32Array([459008,524368,524304,524568,459024,524400,524336,590016,459016,524384,524320,589984,524288,524416,524352,590048,459012,524376,524312,589968,459028,524408,524344,590032,459020,524392,524328,59e4,524296,524424,524360,590064,459010,524372,524308,524572,459026,524404,524340,590024,459018,524388,524324,589992,524292,524420,524356,59\
+0056,459014,524380,524316,589976,459030,524412,524348,590040,459022,524396,524332,590008,524300,524428,524364,590072,459009,524370,524306,524570,459025,524402,524338,590020,459017,524386,524322,589988,524290,524418,524354,590052,459013,524378,524314,589972,459029,524410,524346,590036,459021,524394,524330,590004,524298,524426,524362,590068,459011,524374,524310,524574,459027,524406,524342,590028,459019,524390,524326,589996,524294,524422,524358,590060,459015,524382,524318,589980,459031,524414,52435\
+0,590044,459023,524398,524334,590012,524302,524430,524366,590076,459008,524369,524305,524569,459024,524401,524337,590018,459016,524385,524321,589986,524289,524417,524353,590050,459012,524377,524313,589970,459028,524409,524345,590034,459020,524393,524329,590002,524297,524425,524361,590066,459010,524373,524309,524573,459026,524405,524341,590026,459018,524389,524325,589994,524293,524421,524357,590058,459014,524381,524317,589978,459030,524413,524349,590042,459022,524397,524333,590010,524301,524429,5\
+24365,590074,459009,524371,524307,524571,459025,524403,524339,590022,459017,524387,524323,589990,524291,524419,524355,590054,459013,524379,524315,589974,459029,524411,524347,590038,459021,524395,524331,590006,524299,524427,524363,590070,459011,524375,524311,524575,459027,524407,524343,590030,459019,524391,524327,589998,524295,524423,524359,590062,459015,524383,524319,589982,459031,524415,524351,590046,459023,524399,524335,590014,524303,524431,524367,590078,459008,524368,524304,524568,459024,5244\
+00,524336,590017,459016,524384,524320,589985,524288,524416,524352,590049,459012,524376,524312,589969,459028,524408,524344,590033,459020,524392,524328,590001,524296,524424,524360,590065,459010,524372,524308,524572,459026,524404,524340,590025,459018,524388,524324,589993,524292,524420,524356,590057,459014,524380,524316,589977,459030,524412,524348,590041,459022,524396,524332,590009,524300,524428,524364,590073,459009,524370,524306,524570,459025,524402,524338,590021,459017,524386,524322,589989,524290,\
+524418,524354,590053,459013,524378,524314,589973,459029,524410,524346,590037,459021,524394,524330,590005,524298,524426,524362,590069,459011,524374,524310,524574,459027,524406,524342,590029,459019,524390,524326,589997,524294,524422,524358,590061,459015,524382,524318,589981,459031,524414,524350,590045,459023,524398,524334,590013,524302,524430,524366,590077,459008,524369,524305,524569,459024,524401,524337,590019,459016,524385,524321,589987,524289,524417,524353,590051,459012,524377,524313,589971,459\
+028,524409,524345,590035,459020,524393,524329,590003,524297,524425,524361,590067,459010,524373,524309,524573,459026,524405,524341,590027,459018,524389,524325,589995,524293,524421,524357,590059,459014,524381,524317,589979,459030,524413,524349,590043,459022,524397,524333,590011,524301,524429,524365,590075,459009,524371,524307,524571,459025,524403,524339,590023,459017,524387,524323,589991,524291,524419,524355,590055,459013,524379,524315,589975,459029,524411,524347,590039,459021,524395,524331,590007\
+,524299,524427,524363,590071,459011,524375,524311,524575,459027,524407,524343,590031,459019,524391,524327,589999,524295,524423,524359,590063,459015,524383,524319,589983,459031,524415,524351,590047,459023,524399,524335,590015,524303,524431,524367,590079]),9],or=[new Int32Array([327680,327696,327688,327704,327684,327700,327692,327708,327682,327698,327690,327706,327686,327702,327694,0,327681,327697,327689,327705,327685,327701,327693,327709,327683,327699,327691,327707,327687,327703,327695,0]),5];cla\
+ss FlateStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict;const a=e.getByte(),r=e.getByte();if(-1===a||-1===r)throw new FormatError(`Invalid header in flate stream: ${a}, ${r}`);if(8!=(15&a))throw new FormatError(`Unknown compression method in flate stream: ${a}, ${r}`);if(((a<<8)+r)%31!=0)throw new FormatError(`Bad FCHECK in flate stream: ${a}, ${r}`);if(32&r)throw new FormatError(`FDICT bit set in flate stream: ${a}, ${r}`);this.codeSize=0;this.codeBuf=0}async g\
+etImageData(e,t){const a=await this.asyncGetBytes();return a?a.length<=e?a:a.subarray(0,e):this.getBytes(e)}async asyncGetBytes(){this.str.reset();const e=this.str.getBytes();try{const{readable:t,writable:a}=new DecompressionStream("deflate"),r=a.getWriter();await r.ready;r.write(e).then((async()=>{await r.ready;await r.close()})).catch((()=>{}));const i=[];let n=0;for await(const e of t){i.push(e);n+=e.byteLength}const s=new Uint8Array(n);let o=0;for(const e of i){s.set(e,o);o+=e.byteLength}ret\
+urn s}catch{this.str=new Stream(e,2,e.length,this.str.dict);this.reset();return null}}get isAsync(){return!0}getBits(e){const t=this.str;let a,r=this.codeSize,i=this.codeBuf;for(;r<e;){if(-1===(a=t.getByte()))throw new FormatError("Bad encoding in flate stream");i|=a<<r;r+=8}a=i&(1<<e)-1;this.codeBuf=i>>e;this.codeSize=r-=e;return a}getCode(e){const t=this.str,a=e[0],r=e[1];let i,n=this.codeSize,s=this.codeBuf;for(;n<r&&-1!==(i=t.getByte());){s|=i<<n;n+=8}const o=a[s&(1<<r)-1],c=o>>16,l=65535&o;\
+if(c<1||n<c)throw new FormatError("Bad encoding in flate stream");this.codeBuf=s>>c;this.codeSize=n-c;return l}generateHuffmanTable(e){const t=e.length;let a,r=0;for(a=0;a<t;++a)e[a]>r&&(r=e[a]);const i=1<<r,n=new Int32Array(i);for(let s=1,o=0,c=2;s<=r;++s,o<<=1,c<<=1)for(let r=0;r<t;++r)if(e[r]===s){let e=0,t=o;for(a=0;a<s;++a){e=e<<1|1&t;t>>=1}for(a=e;a<i;a+=c)n[a]=s<<16|r;++o}return[n,r]}#X(e){info(e);this.eof=!0}readBlock(){let e,t,a;const r=this.str;try{t=this.getBits(3)}catch(e){this.#X(e.\
+message);return}1&t&&(this.eof=!0);t>>=1;if(0===t){let t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let a=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}a|=t<<8;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}let i=t;if(-1===(t=r.getByte())){this.#X("Bad block header in flate stream");return}i|=t<<8;if(i!==(65535&~a)&&(0!==a||0!==i))throw new FormatError("Bad uncompressed block length in flate stream");th\
+is.codeBuf=0;this.codeSize=0;const n=this.bufferLength,s=n+a;e=this.ensureBuffer(s);this.bufferLength=s;if(0===a)-1===r.peekByte()&&(this.eof=!0);else{const t=r.getBytes(a);e.set(t,n);t.length<a&&(this.eof=!0)}return}let i,n;if(1===t){i=sr;n=or}else{if(2!==t)throw new FormatError("Unknown block type in flate stream");{const e=this.getBits(5)+257,t=this.getBits(5)+1,r=this.getBits(4)+4,s=new Uint8Array(rr.length);let o;for(o=0;o<r;++o)s[rr[o]]=this.getBits(3);const c=this.generateHuffmanTable(s);\
+a=0;o=0;const l=e+t,h=new Uint8Array(l);let u,d,f;for(;o<l;){const e=this.getCode(c);if(16===e){u=2;d=3;f=a}else if(17===e){u=3;d=3;f=a=0}else{if(18!==e){h[o++]=a=e;continue}u=7;d=11;f=a=0}let t=this.getBits(u)+d;for(;t-- >0;)h[o++]=f}i=this.generateHuffmanTable(h.subarray(0,e));n=this.generateHuffmanTable(h.subarray(e,l))}}e=this.buffer;let s=e?e.length:0,o=this.bufferLength;for(;;){let t=this.getCode(i);if(t<256){if(o+1>=s){e=this.ensureBuffer(o+1);s=e.length}e[o++]=t;continue}if(256===t){this\
+.bufferLength=o;return}t-=257;t=ir[t];let r=t>>16;r>0&&(r=this.getBits(r));a=(65535&t)+r;t=this.getCode(n);t=nr[t];r=t>>16;r>0&&(r=this.getBits(r));const c=(65535&t)+r;if(o+a>=s){e=this.ensureBuffer(o+a);s=e.length}for(let t=0;t<a;++t,++o)e[o]=e[o-c]}}}const cr=[{qe:22017,nmps:1,nlps:1,switchFlag:1},{qe:13313,nmps:2,nlps:6,switchFlag:0},{qe:6145,nmps:3,nlps:9,switchFlag:0},{qe:2753,nmps:4,nlps:12,switchFlag:0},{qe:1313,nmps:5,nlps:29,switchFlag:0},{qe:545,nmps:38,nlps:33,switchFlag:0},{qe:22017,\
+nmps:7,nlps:6,switchFlag:1},{qe:21505,nmps:8,nlps:14,switchFlag:0},{qe:18433,nmps:9,nlps:14,switchFlag:0},{qe:14337,nmps:10,nlps:14,switchFlag:0},{qe:12289,nmps:11,nlps:17,switchFlag:0},{qe:9217,nmps:12,nlps:18,switchFlag:0},{qe:7169,nmps:13,nlps:20,switchFlag:0},{qe:5633,nmps:29,nlps:21,switchFlag:0},{qe:22017,nmps:15,nlps:14,switchFlag:1},{qe:21505,nmps:16,nlps:14,switchFlag:0},{qe:20737,nmps:17,nlps:15,switchFlag:0},{qe:18433,nmps:18,nlps:16,switchFlag:0},{qe:14337,nmps:19,nlps:17,switchFlag:\
+0},{qe:13313,nmps:20,nlps:18,switchFlag:0},{qe:12289,nmps:21,nlps:19,switchFlag:0},{qe:10241,nmps:22,nlps:19,switchFlag:0},{qe:9217,nmps:23,nlps:20,switchFlag:0},{qe:8705,nmps:24,nlps:21,switchFlag:0},{qe:7169,nmps:25,nlps:22,switchFlag:0},{qe:6145,nmps:26,nlps:23,switchFlag:0},{qe:5633,nmps:27,nlps:24,switchFlag:0},{qe:5121,nmps:28,nlps:25,switchFlag:0},{qe:4609,nmps:29,nlps:26,switchFlag:0},{qe:4353,nmps:30,nlps:27,switchFlag:0},{qe:2753,nmps:31,nlps:28,switchFlag:0},{qe:2497,nmps:32,nlps:29,s\
+witchFlag:0},{qe:2209,nmps:33,nlps:30,switchFlag:0},{qe:1313,nmps:34,nlps:31,switchFlag:0},{qe:1089,nmps:35,nlps:32,switchFlag:0},{qe:673,nmps:36,nlps:33,switchFlag:0},{qe:545,nmps:37,nlps:34,switchFlag:0},{qe:321,nmps:38,nlps:35,switchFlag:0},{qe:273,nmps:39,nlps:36,switchFlag:0},{qe:133,nmps:40,nlps:37,switchFlag:0},{qe:73,nmps:41,nlps:38,switchFlag:0},{qe:37,nmps:42,nlps:39,switchFlag:0},{qe:21,nmps:43,nlps:40,switchFlag:0},{qe:9,nmps:44,nlps:41,switchFlag:0},{qe:5,nmps:45,nlps:42,switchFlag:\
+0},{qe:1,nmps:45,nlps:43,switchFlag:0},{qe:22017,nmps:46,nlps:46,switchFlag:0}];class ArithmeticDecoder{constructor(e,t,a){this.data=e;this.bp=t;this.dataEnd=a;this.chigh=e[t];this.clow=0;this.byteIn();this.chigh=this.chigh<<7&65535|this.clow>>9&127;this.clow=this.clow<<7&65535;this.ct-=7;this.a=32768}byteIn(){const e=this.data;let t=this.bp;if(255===e[t])if(e[t+1]>143){this.clow+=65280;this.ct=8}else{t++;this.clow+=e[t]<<9;this.ct=7;this.bp=t}else{t++;this.clow+=t<this.dataEnd?e[t]<<8:65280;thi\
+s.ct=8;this.bp=t}if(this.clow>65535){this.chigh+=this.clow>>16;this.clow&=65535}}readBit(e,t){let a=e[t]>>1,r=1&e[t];const i=cr[a],n=i.qe;let s,o=this.a-n;if(this.chigh<n)if(o<n){o=n;s=r;a=i.nmps}else{o=n;s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{this.chigh-=n;if(32768&o){this.a=o;return r}if(o<n){s=1^r;1===i.switchFlag&&(r=s);a=i.nlps}else{s=r;a=i.nmps}}do{0===this.ct&&this.byteIn();o<<=1;this.chigh=this.chigh<<1&65535|this.clow>>15&1;this.clow=this.clow<<1&65535;this.ct--}while(!(32768&o));t\
+his.a=o;e[t]=a<<1|r;return s}}class Jbig2Error extends fa{constructor(e){super(e,"Jbig2Error")}}class ContextCache{getContexts(e){return e in this?this[e]:this[e]=new Int8Array(65536)}}class DecodingContext{constructor(e,t,a){this.data=e;this.start=t;this.end=a}get decoder(){return shadow(this,"decoder",new ArithmeticDecoder(this.data,this.start,this.end))}get contextCache(){return shadow(this,"contextCache",new ContextCache)}}function decodeInteger(e,t,a){const r=e.getContexts(t);let i=1;functi\
+on readBits(e){let t=0;for(let n=0;n<e;n++){const e=a.readBit(r,i);i=i<256?i<<1|e:511&(i<<1|e)|256;t=t<<1|e}return t>>>0}const n=readBits(1),s=readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(1)?readBits(32)+4436:readBits(12)+340:readBits(8)+84:readBits(6)+20:readBits(4)+4:readBits(2);let o;0===n?o=s:s>0&&(o=-s);return o>=-2147483648&&o<=va?o:null}function decodeIAID(e,t,a){const r=e.getContexts("IAID");let i=1;for(let e=0;e<a;e++){i=i<<1|t.readBit(r,i)}return a<31?i&(1<<a)-1:2147483647&\
+i}const lr=["SymbolDictionary",null,null,null,"IntermediateTextRegion",null,"ImmediateTextRegion","ImmediateLosslessTextRegion",null,null,null,null,null,null,null,null,"PatternDictionary",null,null,null,"IntermediateHalftoneRegion",null,"ImmediateHalftoneRegion","ImmediateLosslessHalftoneRegion",null,null,null,null,null,null,null,null,null,null,null,null,"IntermediateGenericRegion",null,"ImmediateGenericRegion","ImmediateLosslessGenericRegion","IntermediateGenericRefinementRegion",null,"Immediat\
+eGenericRefinementRegion","ImmediateLosslessGenericRefinementRegion",null,null,null,null,"PageInformation","EndOfPage","EndOfStripe","EndOfFile","Profiles","Tables",null,null,null,null,null,null,null,null,"Extension"],hr=[[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:2,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:2,y:-1},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}],[{x:\
+-1,y:-2},{x:0,y:-2},{x:1,y:-2},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-2,y:0},{x:-1,y:0}],[{x:-3,y:-1},{x:-2,y:-1},{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-4,y:0},{x:-3,y:0},{x:-2,y:0},{x:-1,y:0}]],ur=[{coding:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference:[{x:0,y:-1},{x:1,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:-1,y:1},{x:0,y:1},{x:1,y:1}]},{coding:[{x:-1,y:-1},{x:0,y:-1},{x:1,y:-1},{x:-1,y:0}],reference:[{x:0,y:-1},{x:-1,y:0},{x:0,y:0},{x:1,y:0},{x:0,y:1},{x:1,y:1}]}],dr=[39717,1941,229,4\
+05],fr=[32,8];function decodeBitmap(e,t,a,r,i,n,s,o){if(e){return decodeMMRBitmap(new Reader(o.data,o.start,o.end),t,a,!1)}if(0===r&&!n&&!i&&4===s.length&&3===s[0].x&&-1===s[0].y&&-3===s[1].x&&-1===s[1].y&&2===s[2].x&&-2===s[2].y&&-2===s[3].x&&-2===s[3].y)return function decodeBitmapTemplate0(e,t,a){const r=a.decoder,i=a.contextCache.getContexts("GB"),n=[];let s,o,c,l,h,u,d;for(o=0;o<t;o++){h=n[o]=new Uint8Array(e);u=o<1?h:n[o-1];d=o<2?h:n[o-2];s=d[0]<<13|d[1]<<12|d[2]<<11|u[0]<<7|u[1]<<6|u[2]<<\
+5|u[3]<<4;for(c=0;c<e;c++){h[c]=l=r.readBit(i,s);s=(31735&s)<<1|(c+3<e?d[c+3]<<11:0)|(c+4<e?u[c+4]<<4:0)|l}}return n}(t,a,o);const c=!!n,l=hr[r].concat(s);l.sort(((e,t)=>e.y-t.y||e.x-t.x));const h=l.length,u=new Int8Array(h),d=new Int8Array(h),f=[];let g,p,m=0,b=0,y=0,w=0;for(p=0;p<h;p++){u[p]=l[p].x;d[p]=l[p].y;b=Math.min(b,l[p].x);y=Math.max(y,l[p].x);w=Math.min(w,l[p].y);p<h-1&&l[p].y===l[p+1].y&&l[p].x===l[p+1].x-1?m|=1<<h-1-p:f.push(p)}const x=f.length,S=new Int8Array(x),k=new Int8Array(x),\
+C=new Uint16Array(x);for(g=0;g<x;g++){p=f[g];S[g]=l[p].x;k[g]=l[p].y;C[g]=1<<h-1-p}const v=-b,F=-w,T=t-y,O=dr[r];let M=new Uint8Array(t);const D=[],R=o.decoder,N=o.contextCache.getContexts("GB");let E,L,j,_,U,X=0,q=0;for(let e=0;e<a;e++){if(i){X^=R.readBit(N,O);if(X){D.push(M);continue}}M=new Uint8Array(M);D.push(M);for(E=0;E<t;E++){if(c&&n[e][E]){M[E]=0;continue}if(E>=v&&E<T&&e>=F){q=q<<1&m;for(p=0;p<x;p++){L=e+k[p];j=E+S[p];_=D[L][j];if(_){_=C[p];q|=_}}}else{q=0;U=h-1;for(p=0;p<h;p++,U--){j=E+\
+u[p];if(j>=0&&j<t){L=e+d[p];if(L>=0){_=D[L][j];_&&(q|=_<<U)}}}}const a=R.readBit(N,q);M[E]=a}}return D}function decodeRefinement(e,t,a,r,i,n,s,o,c){let l=ur[a].coding;0===a&&(l=l.concat([o[0]]));const h=l.length,u=new Int32Array(h),d=new Int32Array(h);let f;for(f=0;f<h;f++){u[f]=l[f].x;d[f]=l[f].y}let g=ur[a].reference;0===a&&(g=g.concat([o[1]]));const p=g.length,m=new Int32Array(p),b=new Int32Array(p);for(f=0;f<p;f++){m[f]=g[f].x;b[f]=g[f].y}const y=r[0].length,w=r.length,x=fr[a],S=[],k=c.decod\
+er,C=c.contextCache.getContexts("GR");let v=0;for(let a=0;a<t;a++){if(s){v^=k.readBit(C,x);if(v)throw new Jbig2Error("prediction is not supported")}const t=new Uint8Array(e);S.push(t);for(let s=0;s<e;s++){let o,c,l=0;for(f=0;f<h;f++){o=a+d[f];c=s+u[f];o<0||c<0||c>=e?l<<=1:l=l<<1|S[o][c]}for(f=0;f<p;f++){o=a+b[f]-n;c=s+m[f]-i;o<0||o>=w||c<0||c>=y?l<<=1:l=l<<1|r[o][c]}const g=k.readBit(C,l);t[s]=g}}return S}function decodeTextRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g,p,m,b,y){if(e&&t)throw new Jbig2Err\
+or("refinement with Huffman is not supported");const w=[];let x,S;for(x=0;x<r;x++){S=new Uint8Array(a);i&&S.fill(i);w.push(S)}const k=m.decoder,C=m.contextCache;let v=e?-f.tableDeltaT.decode(y):-decodeInteger(C,"IADT",k),F=0;x=0;for(;x<n;){v+=e?f.tableDeltaT.decode(y):decodeInteger(C,"IADT",k);F+=e?f.tableFirstS.decode(y):decodeInteger(C,"IAFS",k);let r=F;for(;;){let i=0;s>1&&(i=e?y.readBits(b):decodeInteger(C,"IAIT",k));const n=s*v+i,F=e?f.symbolIDTable.decode(y):decodeIAID(C,k,c),T=t&&(e?y.rea\
+dBit():decodeInteger(C,"IARI",k));let O=o[F],M=O[0].length,D=O.length;if(T){const e=decodeInteger(C,"IARDW",k),t=decodeInteger(C,"IARDH",k);M+=e;D+=t;O=decodeRefinement(M,D,g,O,(e>>1)+decodeInteger(C,"IARDX",k),(t>>1)+decodeInteger(C,"IARDY",k),!1,p,m)}let R=0;l?1&u?R=D-1:r+=D-1:u>1?r+=M-1:R=M-1;const N=n-(1&u?0:D-1),E=r-(2&u?M-1:0);let L,j,_;if(l)for(L=0;L<D;L++){S=w[E+L];if(!S)continue;_=O[L];const e=Math.min(a-N,M);switch(d){case 0:for(j=0;j<e;j++)S[N+j]|=_[j];break;case 2:for(j=0;j<e;j++)S[N\
++j]^=_[j];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}else for(j=0;j<D;j++){S=w[N+j];if(S){_=O[j];switch(d){case 0:for(L=0;L<M;L++)S[E+L]|=_[L];break;case 2:for(L=0;L<M;L++)S[E+L]^=_[L];break;default:throw new Jbig2Error(`operator ${d} is not supported`)}}}x++;const U=e?f.tableDeltaS.decode(y):decodeInteger(C,"IADS",k);if(null===U)break;r+=R+U+h}}return w}function readSegmentHeader(e,t){const a={};a.number=readUint32(e,t);const r=e[t+4],i=63&r;if(!lr[i])throw new Jbig2E\
+rror("invalid segment type: "+i);a.type=i;a.typeName=lr[i];a.deferredNonRetain=!!(128&r);const n=!!(64&r),s=e[t+5];let o=s>>5&7;const c=[31&s];let l=t+6;if(7===s){o=536870911&readUint32(e,l-1);l+=3;let t=o+7>>3;c[0]=e[l++];for(;--t>0;)c.push(e[l++])}else if(5===s||6===s)throw new Jbig2Error("invalid referred-to flags");a.retainBits=c;let h=4;a.number<=256?h=1:a.number<=65536&&(h=2);const u=[];let d,f;for(d=0;d<o;d++){let t;t=1===h?e[l]:2===h?readUint16(e,l):readUint32(e,l);u.push(t);l+=h}a.refer\
+redTo=u;if(n){a.pageAssociation=readUint32(e,l);l+=4}else a.pageAssociation=e[l++];a.length=readUint32(e,l);l+=4;if(4294967295===a.length){if(38!==i)throw new Jbig2Error("invalid unknown segment length");{const t=readRegionSegmentInformation(e,l),r=!!(1&e[l+gr]),i=6,n=new Uint8Array(i);if(!r){n[0]=255;n[1]=172}n[2]=t.height>>>24&255;n[3]=t.height>>16&255;n[4]=t.height>>8&255;n[5]=255&t.height;for(d=l,f=e.length;d<f;d++){let t=0;for(;t<i&&n[t]===e[d+t];)t++;if(t===i){a.length=d+i;break}}if(429496\
+7295===a.length)throw new Jbig2Error("segment end was not found")}}a.headerEnd=l;return a}function readSegments(e,t,a,r){const i=[];let n=a;for(;n<r;){const a=readSegmentHeader(t,n);n=a.headerEnd;const r={header:a,data:t};if(!e.randomAccess){r.start=n;n+=a.length;r.end=n}i.push(r);if(51===a.type)break}if(e.randomAccess)for(let e=0,t=i.length;e<t;e++){i[e].start=n;n+=i[e].header.length;i[e].end=n}return i}function readRegionSegmentInformation(e,t){return{width:readUint32(e,t),height:readUint32(e,\
+t+4),x:readUint32(e,t+8),y:readUint32(e,t+12),combinationOperator:7&e[t+16]}}const gr=17;function processSegment(e,t){const a=e.header,r=e.data,i=e.end;let n,s,o,c,l=e.start;switch(a.type){case 0:const e={},t=readUint16(r,l);e.huffman=!!(1&t);e.refinement=!!(2&t);e.huffmanDHSelector=t>>2&3;e.huffmanDWSelector=t>>4&3;e.bitmapSizeSelector=t>>6&1;e.aggregationInstancesSelector=t>>7&1;e.bitmapCodingContextUsed=!!(256&t);e.bitmapCodingContextRetained=!!(512&t);e.template=t>>10&3;e.refinementTemplate=\
+t>>12&1;l+=2;if(!e.huffman){c=0===e.template?4:1;s=[];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.at=s}if(e.refinement&&!e.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}e.refinementAt=s}e.numberOfExportedSymbols=readUint32(r,l);l+=4;e.numberOfNewSymbols=readUint32(r,l);l+=4;n=[e,a.number,a.referredTo,r,l,i];break;case 6:case 7:const h={};h.info=readRegionSegmentInformation(r,l);l+=gr;const u=readUint16(r,l);l+=2;h.huffman=!!(1&\
+u);h.refinement=!!(2&u);h.logStripSize=u>>2&3;h.stripSize=1<<h.logStripSize;h.referenceCorner=u>>4&3;h.transposed=!!(64&u);h.combinationOperator=u>>7&3;h.defaultPixelValue=u>>9&1;h.dsOffset=u<<17>>27;h.refinementTemplate=u>>15&1;if(h.huffman){const e=readUint16(r,l);l+=2;h.huffmanFS=3&e;h.huffmanDS=e>>2&3;h.huffmanDT=e>>4&3;h.huffmanRefinementDW=e>>6&3;h.huffmanRefinementDH=e>>8&3;h.huffmanRefinementDX=e>>10&3;h.huffmanRefinementDY=e>>12&3;h.huffmanRefinementSizeSelector=!!(16384&e)}if(h.refinem\
+ent&&!h.refinementTemplate){s=[];for(o=0;o<2;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}h.refinementAt=s}h.numberOfSymbolInstances=readUint32(r,l);l+=4;n=[h,a.referredTo,r,l,i];break;case 16:const d={},f=r[l++];d.mmr=!!(1&f);d.template=f>>1&3;d.patternWidth=r[l++];d.patternHeight=r[l++];d.maxPatternIndex=readUint32(r,l);l+=4;n=[d,a.number,r,l,i];break;case 22:case 23:const g={};g.info=readRegionSegmentInformation(r,l);l+=gr;const p=r[l++];g.mmr=!!(1&p);g.template=p>>1&3;g.enableSkip=!\
+!(8&p);g.combinationOperator=p>>4&7;g.defaultPixelValue=p>>7&1;g.gridWidth=readUint32(r,l);l+=4;g.gridHeight=readUint32(r,l);l+=4;g.gridOffsetX=4294967295&readUint32(r,l);l+=4;g.gridOffsetY=4294967295&readUint32(r,l);l+=4;g.gridVectorX=readUint16(r,l);l+=2;g.gridVectorY=readUint16(r,l);l+=2;n=[g,a.referredTo,r,l,i];break;case 38:case 39:const m={};m.info=readRegionSegmentInformation(r,l);l+=gr;const b=r[l++];m.mmr=!!(1&b);m.template=b>>1&3;m.prediction=!!(8&b);if(!m.mmr){c=0===m.template?4:1;s=[\
+];for(o=0;o<c;o++){s.push({x:readInt8(r,l),y:readInt8(r,l+1)});l+=2}m.at=s}n=[m,r,l,i];break;case 48:const y={width:readUint32(r,l),height:readUint32(r,l+4),resolutionX:readUint32(r,l+8),resolutionY:readUint32(r,l+12)};4294967295===y.height&&delete y.height;const w=r[l+16];readUint16(r,l+17);y.lossless=!!(1&w);y.refinement=!!(2&w);y.defaultPixelValue=w>>2&1;y.combinationOperator=w>>3&3;y.requiresBuffer=!!(32&w);y.combinationOperatorOverride=!!(64&w);n=[y];break;case 49:case 50:case 51:case 62:br\
+eak;case 53:n=[a.number,r,l,i];break;default:throw new Jbig2Error(`segment type ${a.typeName}(${a.type}) is not implemented`)}const h="on"+a.typeName;h in t&&t[h].apply(t,n)}function processSegments(e,t){for(let a=0,r=e.length;a<r;a++)processSegment(e[a],t)}class SimpleSegmentVisitor{onPageInformation(e){this.currentPageInfo=e;const t=e.width+7>>3,a=new Uint8ClampedArray(t*e.height);e.defaultPixelValue&&a.fill(255);this.buffer=a}drawBitmap(e,t){const a=this.currentPageInfo,r=e.width,i=e.height,n\
+=a.width+7>>3,s=a.combinationOperatorOverride?e.combinationOperator:a.combinationOperator,o=this.buffer,c=128>>(7&e.x);let l,h,u,d,f=e.y*n+(e.x>>3);switch(s){case 0:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]|=u);u>>=1;if(!u){u=128;d++}}f+=n}break;case 2:for(l=0;l<i;l++){u=c;d=f;for(h=0;h<r;h++){t[l][h]&&(o[d]^=u);u>>=1;if(!u){u=128;d++}}f+=n}break;default:throw new Jbig2Error(`operator ${s} is not supported`)}}onImmediateGenericRegion(e,t,a,r){const i=e.info,n=new DecodingContext(t\
+,a,r),s=decodeBitmap(e.mmr,i.width,i.height,e.template,e.prediction,null,e.at,n);this.drawBitmap(i,s)}onImmediateLosslessGenericRegion(){this.onImmediateGenericRegion(...arguments)}onSymbolDictionary(e,t,a,r,i,n){let s,o;if(e.huffman){s=function getSymbolDictionaryHuffmanTables(e,t,a){let r,i,n,s,o=0;switch(e.huffmanDHSelector){case 0:case 1:r=getStandardTable(e.huffmanDHSelector+4);break;case 3:r=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DH selector")}\
+switch(e.huffmanDWSelector){case 0:case 1:i=getStandardTable(e.huffmanDWSelector+2);break;case 3:i=getCustomHuffmanTable(o,t,a);o++;break;default:throw new Jbig2Error("invalid Huffman DW selector")}if(e.bitmapSizeSelector){n=getCustomHuffmanTable(o,t,a);o++}else n=getStandardTable(1);s=e.aggregationInstancesSelector?getCustomHuffmanTable(o,t,a):getStandardTable(1);return{tableDeltaHeight:r,tableDeltaWidth:i,tableBitmapSize:n,tableAggregateInstances:s}}(e,a,this.customTables);o=new Reader(r,i,n)}\
+let c=this.symbols;c||(this.symbols=c={});const l=[];for(const e of a){const t=c[e];t&&l.push(...t)}const h=new DecodingContext(r,i,n);c[t]=function decodeSymbolDictionary(e,t,a,r,i,n,s,o,c,l,h,u){if(e&&t)throw new Jbig2Error("symbol refinement with Huffman is not supported");const d=[];let f=0,g=log2(a.length+r);const p=h.decoder,m=h.contextCache;let b,y;if(e){b=getStandardTable(1);y=[];g=Math.max(g,1)}for(;d.length<r;){f+=e?n.tableDeltaHeight.decode(u):decodeInteger(m,"IADH",p);let r=0,i=0;con\
+st b=e?y.length:0;for(;;){const b=e?n.tableDeltaWidth.decode(u):decodeInteger(m,"IADW",p);if(null===b)break;r+=b;i+=r;let w;if(t){const i=decodeInteger(m,"IAAI",p);if(i>1)w=decodeTextRegion(e,t,r,f,0,i,1,a.concat(d),g,0,0,1,0,n,c,l,h,0,u);else{const e=decodeIAID(m,p,g),t=decodeInteger(m,"IARDX",p),i=decodeInteger(m,"IARDY",p);w=decodeRefinement(r,f,c,e<a.length?a[e]:d[e-a.length],t,i,!1,l,h)}d.push(w)}else if(e)y.push(r);else{w=decodeBitmap(!1,r,f,s,!1,null,o,h);d.push(w)}}if(e&&!t){const e=n.ta\
+bleBitmapSize.decode(u);u.byteAlign();let t;if(0===e)t=readUncompressedBitmap(u,i,f);else{const a=u.end,r=u.position+e;u.end=r;t=decodeMMRBitmap(u,i,f,!1);u.end=a;u.position=r}const a=y.length;if(b===a-1)d.push(t);else{let e,r,i,n,s,o=0;for(e=b;e<a;e++){n=y[e];i=o+n;s=[];for(r=0;r<f;r++)s.push(t[r].subarray(o,i));d.push(s);o=i}}}}const w=[],x=[];let S,k,C=!1;const v=a.length+r;for(;x.length<v;){let t=e?b.decode(u):decodeInteger(m,"IAEX",p);for(;t--;)x.push(C);C=!C}for(S=0,k=a.length;S<k;S++)x[S]\
+&&w.push(a[S]);for(let e=0;e<r;S++,e++)x[S]&&w.push(d[e]);return w}(e.huffman,e.refinement,l,e.numberOfNewSymbols,e.numberOfExportedSymbols,s,e.template,e.at,e.refinementTemplate,e.refinementAt,h,o)}onImmediateTextRegion(e,t,a,r,i){const n=e.info;let s,o;const c=this.symbols,l=[];for(const e of t){const t=c[e];t&&l.push(...t)}const h=log2(l.length);if(e.huffman){o=new Reader(a,r,i);s=function getTextRegionHuffmanTables(e,t,a,r,i){const n=[];for(let e=0;e<=34;e++){const t=i.readBits(4);n.push(new\
+ HuffmanLine([e,t,0,0]))}const s=new HuffmanTable(n,!1);n.length=0;for(let e=0;e<r;){const t=s.decode(i);if(t>=32){let a,r,s;switch(t){case 32:if(0===e)throw new Jbig2Error("no previous value in symbol ID table");r=i.readBits(2)+3;a=n[e-1].prefixLength;break;case 33:r=i.readBits(3)+3;a=0;break;case 34:r=i.readBits(7)+11;a=0;break;default:throw new Jbig2Error("invalid code length in symbol ID table")}for(s=0;s<r;s++){n.push(new HuffmanLine([e,a,0,0]));e++}}else{n.push(new HuffmanLine([e,t,0,0]));\
+e++}}i.byteAlign();const o=new HuffmanTable(n,!1);let c,l,h,u=0;switch(e.huffmanFS){case 0:case 1:c=getStandardTable(e.huffmanFS+6);break;case 3:c=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman FS selector")}switch(e.huffmanDS){case 0:case 1:case 2:l=getStandardTable(e.huffmanDS+8);break;case 3:l=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman DS selector")}switch(e.huffmanDT){case 0:case 1:case 2:h=getStandardTable(e.huf\
+fmanDT+11);break;case 3:h=getCustomHuffmanTable(u,t,a);u++;break;default:throw new Jbig2Error("invalid Huffman DT selector")}if(e.refinement)throw new Jbig2Error("refinement with Huffman is not supported");return{symbolIDTable:o,tableFirstS:c,tableDeltaS:l,tableDeltaT:h}}(e,t,this.customTables,l.length,o)}const u=new DecodingContext(a,r,i),d=decodeTextRegion(e.huffman,e.refinement,n.width,n.height,e.defaultPixelValue,e.numberOfSymbolInstances,e.stripSize,l,h,e.transposed,e.dsOffset,e.referenceCo\
+rner,e.combinationOperator,s,e.refinementTemplate,e.refinementAt,u,e.logStripSize,o);this.drawBitmap(n,d)}onImmediateLosslessTextRegion(){this.onImmediateTextRegion(...arguments)}onPatternDictionary(e,t,a,r,i){let n=this.patterns;n||(this.patterns=n={});const s=new DecodingContext(a,r,i);n[t]=function decodePatternDictionary(e,t,a,r,i,n){const s=[];if(!e){s.push({x:-t,y:0});0===i&&s.push({x:-3,y:-1},{x:2,y:-2},{x:-2,y:-2})}const o=decodeBitmap(e,(r+1)*t,a,i,!1,null,s,n),c=[];for(let e=0;e<=r;e++\
+){const r=[],i=t*e,n=i+t;for(let e=0;e<a;e++)r.push(o[e].subarray(i,n));c.push(r)}return c}(e.mmr,e.patternWidth,e.patternHeight,e.maxPatternIndex,e.template,s)}onImmediateHalftoneRegion(e,t,a,r,i){const n=this.patterns[t[0]],s=e.info,o=new DecodingContext(a,r,i),c=function decodeHalftoneRegion(e,t,a,r,i,n,s,o,c,l,h,u,d,f,g){if(s)throw new Jbig2Error("skip is not supported");if(0!==o)throw new Jbig2Error(`operator "${o}" is not supported in halftone region`);const p=[];let m,b,y;for(m=0;m<i;m++)\
+{y=new Uint8Array(r);n&&y.fill(n);p.push(y)}const w=t.length,x=t[0],S=x[0].length,k=x.length,C=log2(w),v=[];if(!e){v.push({x:a<=1?3:2,y:-1});0===a&&v.push({x:-3,y:-1},{x:2,y:-2},{x:-2,y:-2})}const F=[];let T,O,M,D,R,N,E,L,j,_,U;e&&(T=new Reader(g.data,g.start,g.end));for(m=C-1;m>=0;m--){O=e?decodeMMRBitmap(T,c,l,!0):decodeBitmap(!1,c,l,a,!1,null,v,g);F[m]=O}for(M=0;M<l;M++)for(D=0;D<c;D++){R=0;N=0;for(b=C-1;b>=0;b--){R^=F[b][M][D];N|=R<<b}E=t[N];L=h+M*f+D*d>>8;j=u+M*d-D*f>>8;if(L>=0&&L+S<=r&&j>=\
+0&&j+k<=i)for(m=0;m<k;m++){U=p[j+m];_=E[m];for(b=0;b<S;b++)U[L+b]|=_[b]}else{let e,t;for(m=0;m<k;m++){t=j+m;if(!(t<0||t>=i)){U=p[t];_=E[m];for(b=0;b<S;b++){e=L+b;e>=0&&e<r&&(U[e]|=_[b])}}}}}return p}(e.mmr,n,e.template,s.width,s.height,e.defaultPixelValue,e.enableSkip,e.combinationOperator,e.gridWidth,e.gridHeight,e.gridOffsetX,e.gridOffsetY,e.gridVectorX,e.gridVectorY,o);this.drawBitmap(s,c)}onImmediateLosslessHalftoneRegion(){this.onImmediateHalftoneRegion(...arguments)}onTables(e,t,a,r){let i\
+=this.customTables;i||(this.customTables=i={});i[e]=function decodeTablesSegment(e,t,a){const r=e[t],i=4294967295&readUint32(e,t+1),n=4294967295&readUint32(e,t+5),s=new Reader(e,t+9,a),o=1+(r>>1&7),c=1+(r>>4&7),l=[];let h,u,d=i;do{h=s.readBits(o);u=s.readBits(c);l.push(new HuffmanLine([d,h,u,0]));d+=1<<u}while(d<n);h=s.readBits(o);l.push(new HuffmanLine([i-1,h,32,0,"lower"]));h=s.readBits(o);l.push(new HuffmanLine([n,h,32,0]));if(1&r){h=s.readBits(o);l.push(new HuffmanLine([h,0]))}return new Huf\
+fmanTable(l,!1)}(t,a,r)}}class HuffmanLine{constructor(e){if(2===e.length){this.isOOB=!0;this.rangeLow=0;this.prefixLength=e[0];this.rangeLength=0;this.prefixCode=e[1];this.isLowerRange=!1}else{this.isOOB=!1;this.rangeLow=e[0];this.prefixLength=e[1];this.rangeLength=e[2];this.prefixCode=e[3];this.isLowerRange="lower"===e[4]}}}class HuffmanTreeNode{constructor(e){this.children=[];if(e){this.isLeaf=!0;this.rangeLength=e.rangeLength;this.rangeLow=e.rangeLow;this.isLowerRange=e.isLowerRange;this.isO\
+OB=e.isOOB}else this.isLeaf=!1}buildTree(e,t){const a=e.prefixCode>>t&1;if(t<=0)this.children[a]=new HuffmanTreeNode(e);else{let r=this.children[a];r||(this.children[a]=r=new HuffmanTreeNode(null));r.buildTree(e,t-1)}}decodeNode(e){if(this.isLeaf){if(this.isOOB)return null;const t=e.readBits(this.rangeLength);return this.rangeLow+(this.isLowerRange?-t:t)}const t=this.children[e.readBit()];if(!t)throw new Jbig2Error("invalid Huffman data");return t.decodeNode(e)}}class HuffmanTable{constructor(e,\
+t){t||this.assignPrefixCodes(e);this.rootNode=new HuffmanTreeNode(null);for(let t=0,a=e.length;t<a;t++){const a=e[t];a.prefixLength>0&&this.rootNode.buildTree(a,a.prefixLength-1)}}decode(e){return this.rootNode.decodeNode(e)}assignPrefixCodes(e){const t=e.length;let a=0;for(let r=0;r<t;r++)a=Math.max(a,e[r].prefixLength);const r=new Uint32Array(a+1);for(let a=0;a<t;a++)r[e[a].prefixLength]++;let i,n,s,o=1,c=0;r[0]=0;for(;o<=a;){c=c+r[o-1]<<1;i=c;n=0;for(;n<t;){s=e[n];if(s.prefixLength===o){s.pre\
+fixCode=i;i++}n++}o++}}}const pr={};function getStandardTable(e){let t,a=pr[e];if(a)return a;switch(e){case 1:t=[[0,1,4,0],[16,2,8,2],[272,3,16,6],[65808,3,32,7]];break;case 2:t=[[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[75,6,32,62],[6,63]];break;case 3:t=[[-256,8,8,254],[0,1,0,0],[1,2,0,2],[2,3,0,6],[3,4,3,14],[11,5,6,30],[-257,8,32,255,"lower"],[75,7,32,126],[6,62]];break;case 4:t=[[1,1,0,0],[2,2,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[76,5,32,31]];break;case 5:t=[[-255,7,8,126],[1,\
+1,0,0],[2,2,0,2],[3,3,0,6],[4,4,3,14],[12,5,6,30],[-256,7,32,127,"lower"],[76,6,32,62]];break;case 6:t=[[-2048,5,10,28],[-1024,4,9,8],[-512,4,8,9],[-256,4,7,10],[-128,5,6,29],[-64,5,5,30],[-32,4,5,11],[0,2,7,0],[128,3,7,2],[256,3,8,3],[512,4,9,12],[1024,4,10,13],[-2049,6,32,62,"lower"],[2048,6,32,63]];break;case 7:t=[[-1024,4,9,8],[-512,3,8,0],[-256,4,7,9],[-128,5,6,26],[-64,5,5,27],[-32,4,5,10],[0,4,5,11],[32,5,5,28],[64,5,6,29],[128,4,7,12],[256,3,8,1],[512,3,9,2],[1024,3,10,3],[-1025,5,32,30,\
+"lower"],[2048,5,32,31]];break;case 8:t=[[-15,8,3,252],[-7,9,1,508],[-5,8,1,253],[-3,9,0,509],[-2,7,0,124],[-1,4,0,10],[0,2,1,0],[2,5,0,26],[3,6,0,58],[4,3,4,4],[20,6,1,59],[22,4,4,11],[38,4,5,12],[70,5,6,27],[134,5,7,28],[262,6,7,60],[390,7,8,125],[646,6,10,61],[-16,9,32,510,"lower"],[1670,9,32,511],[2,1]];break;case 9:t=[[-31,8,4,252],[-15,9,2,508],[-11,8,2,253],[-7,9,1,509],[-5,7,1,124],[-3,4,1,10],[-1,3,1,2],[1,3,1,3],[3,5,1,26],[5,6,1,58],[7,3,5,4],[39,6,2,59],[43,4,5,11],[75,4,6,12],[139,5\
+,7,27],[267,5,8,28],[523,6,8,60],[779,7,9,125],[1291,6,11,61],[-32,9,32,510,"lower"],[3339,9,32,511],[2,0]];break;case 10:t=[[-21,7,4,122],[-5,8,0,252],[-4,7,0,123],[-3,5,0,24],[-2,2,2,0],[2,5,0,25],[3,6,0,54],[4,7,0,124],[5,8,0,253],[6,2,6,1],[70,5,5,26],[102,6,5,55],[134,6,6,56],[198,6,7,57],[326,6,8,58],[582,6,9,59],[1094,6,10,60],[2118,7,11,125],[-22,8,32,254,"lower"],[4166,8,32,255],[2,2]];break;case 11:t=[[1,1,0,0],[2,2,1,2],[4,4,0,12],[5,4,1,13],[7,5,1,28],[9,5,2,29],[13,6,2,60],[17,7,2,1\
+22],[21,7,3,123],[29,7,4,124],[45,7,5,125],[77,7,6,126],[141,7,32,127]];break;case 12:t=[[1,1,0,0],[2,2,0,2],[3,3,1,6],[5,5,0,28],[6,5,1,29],[8,6,1,60],[10,7,0,122],[11,7,1,123],[13,7,2,124],[17,7,3,125],[25,7,4,126],[41,8,5,254],[73,8,32,255]];break;case 13:t=[[1,1,0,0],[2,3,0,4],[3,4,0,12],[4,5,0,28],[5,4,1,13],[7,3,3,5],[15,6,1,58],[17,6,2,59],[21,6,3,60],[29,6,4,61],[45,6,5,62],[77,7,6,126],[141,7,32,127]];break;case 14:t=[[-2,3,0,4],[-1,3,0,5],[0,1,0,0],[1,3,0,6],[2,3,0,7]];break;case 15:t=\
+[[-24,7,4,124],[-8,6,2,60],[-4,5,1,28],[-2,4,0,12],[-1,3,0,4],[0,1,0,0],[1,3,0,5],[2,4,0,13],[3,5,1,29],[5,6,2,61],[9,7,4,125],[-25,7,32,126,"lower"],[25,7,32,127]];break;default:throw new Jbig2Error(`standard table B.${e} does not exist`)}for(let e=0,a=t.length;e<a;e++)t[e]=new HuffmanLine(t[e]);a=new HuffmanTable(t,!0);pr[e]=a;return a}class Reader{constructor(e,t,a){this.data=e;this.start=t;this.end=a;this.position=t;this.shift=-1;this.currentByte=0}readBit(){if(this.shift<0){if(this.position\
+>=this.end)throw new Jbig2Error("end of data while reading bit");this.currentByte=this.data[this.position++];this.shift=7}const e=this.currentByte>>this.shift&1;this.shift--;return e}readBits(e){let t,a=0;for(t=e-1;t>=0;t--)a|=this.readBit()<<t;return a}byteAlign(){this.shift=-1}next(){return this.position>=this.end?-1:this.data[this.position++]}}function getCustomHuffmanTable(e,t,a){let r=0;for(let i=0,n=t.length;i<n;i++){const n=a[t[i]];if(n){if(e===r)return n;r++}}throw new Jbig2Error("can\'t \
+find custom Huffman table")}function readUncompressedBitmap(e,t,a){const r=[];for(let i=0;i<a;i++){const a=new Uint8Array(t);r.push(a);for(let r=0;r<t;r++)a[r]=e.readBit();e.byteAlign()}return r}function decodeMMRBitmap(e,t,a,r){const i=new CCITTFaxDecoder(e,{K:-1,Columns:t,Rows:a,BlackIs1:!0,EndOfBlock:r}),n=[];let s,o=!1;for(let e=0;e<a;e++){const e=new Uint8Array(t);n.push(e);let a=-1;for(let r=0;r<t;r++){if(a<0){s=i.readNextChar();if(-1===s){s=0;o=!0}a=7}e[r]=s>>a&1;a--}}if(r&&!o){const e=5;\
+for(let t=0;t<e&&-1!==i.readNextChar();t++);}return n}class Jbig2Image{parseChunks(e){return function parseJbig2Chunks(e){const t=new SimpleSegmentVisitor;for(let a=0,r=e.length;a<r;a++){const r=e[a];processSegments(readSegments({},r.data,r.start,r.end),t)}return t.buffer}(e)}parse(e){throw new Error("Not implemented: Jbig2Image.parse")}}class Jbig2Stream extends DecodeStream{constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(thi\
+s,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(){this.decodeImage()}decodeImage(e){if(this.eof)return this.buffer;e||=this.bytes;const t=new Jbig2Image,a=[];if(this.params instanceof Dict){const e=this.params.get("JBIG2Globals");if(e instanceof BaseStream){const t=e.getBytes();a.push({data:t,start:0,end:t.length})}}a.push({data:e,start:0,end:e.length});const r=t.parseChunks(a),i=r.length;for(let e=0;e<i;e++)r[e]^=255;this.buffer=r;this.bufferLength=i;this.eof=!0;ret\
+urn this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class JpxStream extends DecodeStream{constructor(e,t,a){super(t);this.stream=e;this.dict=e.dict;this.maybeLength=t;this.params=a}get bytes(){return shadow(this,"bytes",this.stream.getBytes(this.maybeLength))}ensureBuffer(e){}readBlock(e){unreachable("JpxStream.readBlock")}get isAsyncDecoder(){return!0}async decodeImage(e,t){if(this.eof)return this.buffer;e||=this.bytes;this.buffer=await JpxImage.decode(e,t);this.buff\
+erLength=this.buffer.length;this.eof=!0;return this.buffer}get canAsyncDecodeImageFromBuffer(){return this.stream.isAsync}}class LZWStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.cachedData=0;this.bitsCached=0;const r=4096,i={earlyChange:a,codeLength:9,nextCode:258,dictionaryValues:new Uint8Array(r),dictionaryLengths:new Uint16Array(r),dictionaryPrevCodes:new Uint16Array(r),currentSequence:new Uint8Array(r),currentSequenceLength:0};for(let e=0;e<256;++e)\
+{i.dictionaryValues[e]=e;i.dictionaryLengths[e]=1}this.lzwState=i}readBits(e){let t=this.bitsCached,a=this.cachedData;for(;t<e;){const e=this.str.getByte();if(-1===e){this.eof=!0;return null}a=a<<8|e;t+=8}this.bitsCached=t-=e;this.cachedData=a;this.lastCode=null;return a>>>t&(1<<e)-1}readBlock(){let e,t,a,r=1024;const i=this.lzwState;if(!i)return;const n=i.earlyChange;let s=i.nextCode;const o=i.dictionaryValues,c=i.dictionaryLengths,l=i.dictionaryPrevCodes;let h=i.codeLength,u=i.prevCode;const d\
+=i.currentSequence;let f=i.currentSequenceLength,g=0,p=this.bufferLength,m=this.ensureBuffer(this.bufferLength+r);for(e=0;e<512;e++){const e=this.readBits(h),i=f>0;if(e<256){d[0]=e;f=1}else{if(!(e>=258)){if(256===e){h=9;s=258;f=0;continue}this.eof=!0;delete this.lzwState;break}if(e<s){f=c[e];for(t=f-1,a=e;t>=0;t--){d[t]=o[a];a=l[a]}}else d[f++]=d[0]}if(i){l[s]=u;c[s]=c[u]+1;o[s]=d[0];s++;h=s+n&s+n-1?h:0|Math.min(Math.log(s+n)/.6931471805599453+1,12)}u=e;g+=f;if(r<g){do{r+=512}while(r<g);m=this.e\
+nsureBuffer(this.bufferLength+r)}for(t=0;t<f;t++)m[p++]=d[t]}i.nextCode=s;i.codeLength=h;i.prevCode=u;i.currentSequenceLength=f;this.bufferLength=p}}class PredictorStream extends DecodeStream{constructor(e,t,a){super(t);if(!(a instanceof Dict))return e;const r=this.predictor=a.get("Predictor")||1;if(r<=1)return e;if(2!==r&&(r<10||r>15))throw new FormatError(`Unsupported predictor: ${r}`);this.readBlock=2===r?this.readBlockTiff:this.readBlockPng;this.str=e;this.dict=e.dict;const i=this.colors=a.g\
+et("Colors")||1,n=this.bits=a.get("BPC","BitsPerComponent")||8,s=this.columns=a.get("Columns")||1;this.pixBytes=i*n+7>>3;this.rowBytes=s*i*n+7>>3;return this}readBlockTiff(){const e=this.rowBytes,t=this.bufferLength,a=this.ensureBuffer(t+e),r=this.bits,i=this.colors,n=this.str.getBytes(e);this.eof=!n.length;if(this.eof)return;let s,o=0,c=0,l=0,h=0,u=t;if(1===r&&1===i)for(s=0;s<e;++s){let e=n[s]^o;e^=e>>1;e^=e>>2;e^=e>>4;o=(1&e)<<7;a[u++]=e}else if(8===r){for(s=0;s<i;++s)a[u++]=n[s];for(;s<e;++s)\
+{a[u]=a[u-i]+n[s];u++}}else if(16===r){const t=2*i;for(s=0;s<t;++s)a[u++]=n[s];for(;s<e;s+=2){const e=((255&n[s])<<8)+(255&n[s+1])+((255&a[u-t])<<8)+(255&a[u-t+1]);a[u++]=e>>8&255;a[u++]=255&e}}else{const e=new Uint8Array(i+1),u=(1<<r)-1;let d=0,f=t;const g=this.columns;for(s=0;s<g;++s)for(let t=0;t<i;++t){if(l<r){o=o<<8|255&n[d++];l+=8}e[t]=e[t]+(o>>l-r)&u;l-=r;c=c<<r|e[t];h+=r;if(h>=8){a[f++]=c>>h-8&255;h-=8}}h>0&&(a[f++]=(c<<8-h)+(o&(1<<8-h)-1))}this.bufferLength+=e}readBlockPng(){const e=thi\
+s.rowBytes,t=this.pixBytes,a=this.str.getByte(),r=this.str.getBytes(e);this.eof=!r.length;if(this.eof)return;const i=this.bufferLength,n=this.ensureBuffer(i+e);let s=n.subarray(i-e,i);0===s.length&&(s=new Uint8Array(e));let o,c,l,h=i;switch(a){case 0:for(o=0;o<e;++o)n[h++]=r[o];break;case 1:for(o=0;o<t;++o)n[h++]=r[o];for(;o<e;++o){n[h]=n[h-t]+r[o]&255;h++}break;case 2:for(o=0;o<e;++o)n[h++]=s[o]+r[o]&255;break;case 3:for(o=0;o<t;++o)n[h++]=(s[o]>>1)+r[o];for(;o<e;++o){n[h]=(s[o]+n[h-t]>>1)+r[o]\
+&255;h++}break;case 4:for(o=0;o<t;++o){c=s[o];l=r[o];n[h++]=c+l}for(;o<e;++o){c=s[o];const e=s[o-t],a=n[h-t],i=a+c-e;let u=i-a;u<0&&(u=-u);let d=i-c;d<0&&(d=-d);let f=i-e;f<0&&(f=-f);l=r[o];n[h++]=u<=d&&u<=f?a+l:d<=f?c+l:e+l}break;default:throw new FormatError(`Unsupported predictor: ${a}`)}this.bufferLength+=e}}class RunLengthStream extends DecodeStream{constructor(e,t){super(t);this.str=e;this.dict=e.dict}readBlock(){const e=this.str.getBytes(2);if(!e||e.length<2||128===e[0]){this.eof=!0;retur\
+n}let t,a=this.bufferLength,r=e[0];if(r<128){t=this.ensureBuffer(a+r+1);t[a++]=e[1];if(r>0){const e=this.str.getBytes(r);t.set(e,a);a+=r}}else{r=257-r;t=this.ensureBuffer(a+r+1);t.fill(e[1],a,a+r);a+=r}this.bufferLength=a}}class Parser{constructor({lexer:e,xref:t,allowStreams:a=!1,recoveryMode:r=!1}){this.lexer=e;this.xref=t;this.allowStreams=a;this.recoveryMode=r;this.imageCache=Object.create(null);this._imageId=0;this.refill()}refill(){this.buf1=this.lexer.getObj();this.buf2=this.lexer.getObj(\
+)}shift(){if(this.buf2 instanceof Cmd&&"ID"===this.buf2.cmd){this.buf1=this.buf2;this.buf2=null}else{this.buf1=this.buf2;this.buf2=this.lexer.getObj()}}tryShift(){try{this.shift();return!0}catch(e){if(e instanceof MissingDataException)throw e;return!1}}getObj(e=null){const t=this.buf1;this.shift();if(t instanceof Cmd)switch(t.cmd){case"BI":return this.makeInlineImage(e);case"[":const a=[];for(;!isCmd(this.buf1,"]")&&this.buf1!==wa;)a.push(this.getObj(e));if(this.buf1===wa){if(this.recoveryMode)r\
+eturn a;throw new ParserEOFException("End of file inside array.")}this.shift();return a;case"<<":const r=new Dict(this.xref);for(;!isCmd(this.buf1,">>")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name)){info("Malformed dictionary: key must be a name object");this.shift();continue}const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r.set(t,this.getObj(e))}if(this.buf1===wa){if(this.recoveryMode)return r;throw new ParserEOFException("End of file inside dictionary.")}if(isCmd(this.buf2,"st\
+ream"))return this.allowStreams?this.makeStream(r,e):r;this.shift();return r;default:return t}if(Number.isInteger(t)){if(Number.isInteger(this.buf1)&&isCmd(this.buf2,"R")){const e=Ref.get(t,this.buf1);this.shift();this.shift();return e}return t}return"string"==typeof t&&e?e.decryptString(t):t}findDefaultInlineStreamEnd(e){const{knownCommands:t}=this.lexer,a=e.pos;let r,i,n=0;for(;-1!==(r=e.getByte());)if(0===n)n=69===r?1:0;else if(1===n)n=73===r?2:0;else if(32===r||10===r||13===r){i=e.pos;const \
+a=e.peekBytes(15),s=a.length;if(0===s)break;for(let e=0;e<s;e++){r=a[e];if((0!==r||0===a[e+1])&&(10!==r&&13!==r&&(r<32||r>127))){n=0;break}}if(2!==n)continue;if(!t){warn("findDefaultInlineStreamEnd - `lexer.knownCommands` is undefined.");continue}const o=new Lexer(new Stream(e.peekBytes(75)),t);o._hexStringWarn=()=>{};let c=0;for(;;){const e=o.getObj();if(e===wa){n=0;break}if(e instanceof Cmd){const a=t[e.cmd];if(!a){n=0;break}if(a.variableArgs?c<=a.numArgs:c===a.numArgs)break;c=0}else c++}if(2=\
+==n)break}else n=0;if(-1===r){warn("findDefaultInlineStreamEnd: Reached the end of the stream without finding a valid EI marker");if(i){warn(\'... trying to recover by using the last "EI" occurrence.\');e.skip(-(e.pos-i))}}let s=4;e.skip(-s);r=e.peekByte();e.skip(s);isWhiteSpace(r)||s--;return e.pos-s-a}findDCTDecodeInlineStreamEnd(e){const t=e.pos;let a,r,i=!1;for(;-1!==(a=e.getByte());)if(255===a){switch(e.getByte()){case 0:break;case 255:e.skip(-1);break;case 217:i=!0;break;case 192:case 193:ca\
+se 194:case 195:case 197:case 198:case 199:case 201:case 202:case 203:case 205:case 206:case 207:case 196:case 204:case 218:case 219:case 220:case 221:case 222:case 223:case 224:case 225:case 226:case 227:case 228:case 229:case 230:case 231:case 232:case 233:case 234:case 235:case 236:case 237:case 238:case 239:case 254:r=e.getUint16();r>2?e.skip(r-2):e.skip(-2)}if(i)break}const n=e.pos-t;if(-1===a){warn("Inline DCTDecode image stream: EOI marker not found, searching for /EI/ instead.");e.skip(-\
+n);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return n}findASCII85DecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte());)if(126===a){const t=e.pos;a=e.peekByte();for(;isWhiteSpace(a);){e.skip();a=e.peekByte()}if(62===a){e.skip();break}if(e.pos>t){const t=e.peekBytes(2);if(69===t[0]&&73===t[1])break}}const r=e.pos-t;if(-1===a){warn("Inline ASCII85Decode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultIn\
+lineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}findASCIIHexDecodeInlineStreamEnd(e){const t=e.pos;let a;for(;-1!==(a=e.getByte())&&62!==a;);const r=e.pos-t;if(-1===a){warn("Inline ASCIIHexDecode image stream: EOD marker not found, searching for /EI/ instead.");e.skip(-r);return this.findDefaultInlineStreamEnd(e)}this.inlineStreamSkipEI(e);return r}inlineStreamSkipEI(e){let t,a=0;for(;-1!==(t=e.getByte());)if(0===a)a=69===t?1:0;else if(1===a)a=73===t?2:0;else if(2===a)break}makeInlineImage(\
+e){const t=this.lexer,a=t.stream,r=Object.create(null);let i;for(;!isCmd(this.buf1,"ID")&&this.buf1!==wa;){if(!(this.buf1 instanceof Name))throw new FormatError("Dictionary key must be a name object");const t=this.buf1.name;this.shift();if(this.buf1===wa)break;r[t]=this.getObj(e)}-1!==t.beginInlineImagePos&&(i=a.pos-t.beginInlineImagePos);const n=this.xref.fetchIfRef(r.F||r.Filter);let s;if(n instanceof Name)s=n.name;else if(Array.isArray(n)){const e=this.xref.fetchIfRef(n[0]);e instanceof Name&\
+&(s=e.name)}const o=a.pos;let c,l;switch(s){case"DCT":case"DCTDecode":c=this.findDCTDecodeInlineStreamEnd(a);break;case"A85":case"ASCII85Decode":c=this.findASCII85DecodeInlineStreamEnd(a);break;case"AHx":case"ASCIIHexDecode":c=this.findASCIIHexDecodeInlineStreamEnd(a);break;default:c=this.findDefaultInlineStreamEnd(a)}if(c<1e3&&i>0){const e=a.pos;a.pos=t.beginInlineImagePos;l=function getInlineImageCacheKey(e){const t=[],a=e.length;let r=0;for(;r<a-1;)t.push(e[r++]<<8|e[r++]);r<a&&t.push(e[r]);r\
+eturn a+"_"+String.fromCharCode.apply(null,t)}(a.getBytes(i+c));a.pos=e;const r=this.imageCache[l];if(void 0!==r){this.buf2=Cmd.get("EI");this.shift();r.reset();return r}}const h=new Dict(this.xref);for(const e in r)h.set(e,r[e]);let u=a.makeSubStream(o,c,h);e&&(u=e.createStream(u,c));u=this.filter(u,h,c);u.dict=h;if(void 0!==l){u.cacheKey="inline_img_"+ ++this._imageId;this.imageCache[l]=u}this.buf2=Cmd.get("EI");this.shift();return u}#q(e){const{stream:t}=this.lexer;t.pos=e;const a=new Uint8Ar\
+ray([101,110,100]),r=a.length,i=[new Uint8Array([115,116,114,101,97,109]),new Uint8Array([115,116,101,97,109]),new Uint8Array([115,116,114,101,97])],n=9-r;for(;t.pos<t.end;){const s=t.peekBytes(2048),o=s.length-9;if(o<=0)break;let c=0;for(;c<o;){let o=0;for(;o<r&&s[c+o]===a[o];)o++;if(o>=r){let r=!1;for(const e of i){const t=e.length;let i=0;for(;i<t&&s[c+o+i]===e[i];)i++;if(i>=n){r=!0;break}if(i>=t){if(isWhiteSpace(s[c+o+i])){info(`Found "${bytesToString([...a,...e])}" when searching for endstr\
+eam command.`);r=!0}break}}if(r){t.pos+=c;return t.pos-e}}c++}t.pos+=o}return-1}makeStream(e,t){const a=this.lexer;let r=a.stream;a.skipToNextLine();const i=r.pos-1;let n=e.get("Length");if(!Number.isInteger(n)){info(`Bad length "${n&&n.toString()}" in stream.`);n=0}r.pos=i+n;a.nextChar();if(this.tryShift()&&isCmd(this.buf2,"endstream"))this.shift();else{n=this.#q(i);if(n<0)throw new FormatError("Missing endstream command.");a.nextChar();this.shift();this.shift()}this.shift();r=r.makeSubStream(i\
+,n,e);t&&(r=t.createStream(r,n));r=this.filter(r,e,n);r.dict=e;return r}filter(e,t,a){let r=t.get("F","Filter"),i=t.get("DP","DecodeParms");if(r instanceof Name){Array.isArray(i)&&warn("/DecodeParms should not be an Array, when /Filter is a Name.");return this.makeFilter(e,r.name,a,i)}let n=a;if(Array.isArray(r)){const t=r,a=i;for(let s=0,o=t.length;s<o;++s){r=this.xref.fetchIfRef(t[s]);if(!(r instanceof Name))throw new FormatError(`Bad filter name "${r}"`);i=null;Array.isArray(a)&&s in a&&(i=th\
+is.xref.fetchIfRef(a[s]));e=this.makeFilter(e,r.name,n,i);n=null}}return e}makeFilter(e,t,a,r){if(0===a){warn(`Empty "${t}" stream.`);return new NullStream}try{switch(t){case"Fl":case"FlateDecode":return r?new PredictorStream(new FlateStream(e,a),a,r):new FlateStream(e,a);case"LZW":case"LZWDecode":let t=1;if(r){r.has("EarlyChange")&&(t=r.get("EarlyChange"));return new PredictorStream(new LZWStream(e,a,t),a,r)}return new LZWStream(e,a,t);case"DCT":case"DCTDecode":return new JpegStream(e,a,r);case\
+"JPX":case"JPXDecode":return new JpxStream(e,a,r);case"A85":case"ASCII85Decode":return new Ascii85Stream(e,a);case"AHx":case"ASCIIHexDecode":return new AsciiHexStream(e,a);case"CCF":case"CCITTFaxDecode":return new CCITTFaxStream(e,a,r);case"RL":case"RunLengthDecode":return new RunLengthStream(e,a);case"JBIG2Decode":return new Jbig2Stream(e,a,r)}warn(`Filter "${t}" is not supported.`);return e}catch(e){if(e instanceof MissingDataException)throw e;warn(`Invalid stream: "${e}"`);return new NullStre\
+am}}}const mr=[1,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,0,2,2,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0\
+,0,0,0,0,0,0,0,0,0,0,0,0,0];function toHexDigit(e){return e>=48&&e<=57?15&e:e>=65&&e<=70||e>=97&&e<=102?9+(15&e):-1}class Lexer{constructor(e,t=null){this.stream=e;this.nextChar();this.strBuf=[];this.knownCommands=t;this._hexStringNumWarn=0;this.beginInlineImagePos=-1}nextChar(){return this.currentChar=this.stream.getByte()}peekChar(){return this.stream.peekByte()}getNumber(){let e=this.currentChar,t=!1,a=0,r=1;if(45===e){r=-1;e=this.nextChar();45===e&&(e=this.nextChar())}else 43===e&&(e=this.ne\
+xtChar());if(10===e||13===e)do{e=this.nextChar()}while(10===e||13===e);if(46===e){a=10;e=this.nextChar()}if(e<48||e>57){const t=`Invalid number: ${String.fromCharCode(e)} (charCode ${e})`;if(isWhiteSpace(e)||40===e||60===e||-1===e){info(`Lexer.getNumber - "${t}".`);return 0}throw new FormatError(t)}let i=e-48,n=0,s=1;for(;(e=this.nextChar())>=0;)if(e>=48&&e<=57){const r=e-48;if(t)n=10*n+r;else{0!==a&&(a*=10);i=10*i+r}}else if(46===e){if(0!==a)break;a=1}else if(45===e)warn("Badly formatted number\
+: minus sign in the middle");else{if(69!==e&&101!==e)break;e=this.peekChar();if(43===e||45===e){s=45===e?-1:1;this.nextChar()}else if(e<48||e>57)break;t=!0}0!==a&&(i/=a);t&&(i*=10**(s*n));return r*i}getString(){let e=1,t=!1;const a=this.strBuf;a.length=0;let r=this.nextChar();for(;;){let i=!1;switch(0|r){case-1:warn("Unterminated string");t=!0;break;case 40:++e;a.push("(");break;case 41:if(0==--e){this.nextChar();t=!0}else a.push(")");break;case 92:r=this.nextChar();switch(r){case-1:warn("Unterm\
+inated string");t=!0;break;case 110:a.push("\\n");break;case 114:a.push("\\r");break;case 116:a.push("\\t");break;case 98:a.push("\\b");break;case 102:a.push("\\f");break;case 92:case 40:case 41:a.push(String.fromCharCode(r));break;case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:let e=15&r;r=this.nextChar();i=!0;if(r>=48&&r<=55){e=(e<<3)+(15&r);r=this.nextChar();if(r>=48&&r<=55){i=!1;e=(e<<3)+(15&r)}}a.push(String.fromCharCode(e));break;case 13:10===this.peekChar()&&this.nextChar();br\
+eak;case 10:break;default:a.push(String.fromCharCode(r))}break;default:a.push(String.fromCharCode(r))}if(t)break;i||(r=this.nextChar())}return a.join("")}getName(){let e,t;const a=this.strBuf;a.length=0;for(;(e=this.nextChar())>=0&&!mr[e];)if(35===e){e=this.nextChar();if(mr[e]){warn("Lexer_getName: NUMBER SIGN (#) should be followed by a hexadecimal number.");a.push("#");break}const r=toHexDigit(e);if(-1!==r){t=e;e=this.nextChar();const i=toHexDigit(e);if(-1===i){warn(`Lexer_getName: Illegal dig\
+it (${String.fromCharCode(e)}) in hexadecimal number.`);a.push("#",String.fromCharCode(t));if(mr[e])break;a.push(String.fromCharCode(e));continue}a.push(String.fromCharCode(r<<4|i))}else a.push("#",String.fromCharCode(e))}else a.push(String.fromCharCode(e));a.length>127&&warn(`Name token is longer than allowed by the spec: ${a.length}`);return Name.get(a.join(""))}_hexStringWarn(e){5!=this._hexStringNumWarn++?this._hexStringNumWarn>5||warn(`getHexString - ignoring invalid character: ${e}`):warn(\
+"getHexString - ignoring additional invalid characters.")}getHexString(){const e=this.strBuf;e.length=0;let t=this.currentChar,a=-1,r=-1;this._hexStringNumWarn=0;for(;;){if(t<0){warn("Unterminated hex string");break}if(62===t){this.nextChar();break}if(1!==mr[t]){r=toHexDigit(t);if(-1===r)this._hexStringWarn(t);else if(-1===a)a=r;else{e.push(String.fromCharCode(a<<4|r));a=-1}t=this.nextChar()}else t=this.nextChar()}-1!==a&&e.push(String.fromCharCode(a<<4));return e.join("")}getObj(){let e=!1,t=th\
+is.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(1!==mr[t])break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return this.getNumber();case 40:return this.getString();case 47:return this.getName();case 91:this.nextChar();return Cmd.get("[");case 93:this.nextChar();return Cmd.get("]");case 60:t=this.nextChar();if(60===t){this.nextChar();return Cmd.get("<<")}return\
+ this.getHexString();case 62:t=this.nextChar();if(62===t){this.nextChar();return Cmd.get(">>")}return Cmd.get(">");case 123:this.nextChar();return Cmd.get("{");case 125:this.nextChar();return Cmd.get("}");case 41:this.nextChar();throw new FormatError(`Illegal character: ${t}`)}let a=String.fromCharCode(t);if(t<32||t>127){const e=this.peekChar();if(e>=32&&e<=127){this.nextChar();return Cmd.get(a)}}const r=this.knownCommands;let i=void 0!==r?.[a];for(;(t=this.nextChar())>=0&&!mr[t];){const e=a+Str\
+ing.fromCharCode(t);if(i&&void 0===r[e])break;if(128===a.length)throw new FormatError(`Command token too long: ${a.length}`);a=e;i=void 0!==r?.[a]}if("true"===a)return!0;if("false"===a)return!1;if("null"===a)return null;"BI"===a&&(this.beginInlineImagePos=this.stream.pos);return Cmd.get(a)}skipToNextLine(){let e=this.currentChar;for(;e>=0;){if(13===e){e=this.nextChar();10===e&&this.nextChar();break}if(10===e){this.nextChar();break}e=this.nextChar()}}}class Linearization{static create(e){function\
+ getInt(e,t,a=!1){const r=e.get(t);if(Number.isInteger(r)&&(a?r>=0:r>0))return r;throw new Error(`The "${t}" parameter in the linearization dictionary is invalid.`)}const t=new Parser({lexer:new Lexer(e),xref:null}),a=t.getObj(),r=t.getObj(),i=t.getObj(),n=t.getObj();let s,o;if(!(Number.isInteger(a)&&Number.isInteger(r)&&isCmd(i,"obj")&&n instanceof Dict&&"number"==typeof(s=n.get("Linearized"))&&s>0))return null;if((o=getInt(n,"L"))!==e.length)throw new Error(\'The "L" parameter in the linearizat\
+ion dictionary does not equal the stream length.\');return{length:o,hints:function getHints(e){const t=e.get("H");let a;if(Array.isArray(t)&&(2===(a=t.length)||4===a)){for(let e=0;e<a;e++){const a=t[e];if(!(Number.isInteger(a)&&a>0))throw new Error(`Hint (${e}) in the linearization dictionary is invalid.`)}return t}throw new Error("Hint array in the linearization dictionary is invalid.")}(n),objectNumberFirst:getInt(n,"O"),endFirst:getInt(n,"E"),numPages:getInt(n,"N"),mainXRefEntriesOffset:getInt\
+(n,"T"),pageFirst:n.has("P")?getInt(n,"P",!0):0}}}const br=["Adobe-GB1-UCS2","Adobe-CNS1-UCS2","Adobe-Japan1-UCS2","Adobe-Korea1-UCS2","78-EUC-H","78-EUC-V","78-H","78-RKSJ-H","78-RKSJ-V","78-V","78ms-RKSJ-H","78ms-RKSJ-V","83pv-RKSJ-H","90ms-RKSJ-H","90ms-RKSJ-V","90msp-RKSJ-H","90msp-RKSJ-V","90pv-RKSJ-H","90pv-RKSJ-V","Add-H","Add-RKSJ-H","Add-RKSJ-V","Add-V","Adobe-CNS1-0","Adobe-CNS1-1","Adobe-CNS1-2","Adobe-CNS1-3","Adobe-CNS1-4","Adobe-CNS1-5","Adobe-CNS1-6","Adobe-GB1-0","Adobe-GB1-1","A\
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+IS2004-UTF16-V","UniJIS2004-UTF32-H","UniJIS2004-UTF32-V","UniJIS2004-UTF8-H","UniJIS2004-UTF8-V","UniJISPro-UCS2-HW-V","UniJISPro-UCS2-V","UniJISPro-UTF8-V","UniJISX0213-UTF32-H","UniJISX0213-UTF32-V","UniJISX02132004-UTF32-H","UniJISX02132004-UTF32-V","UniKS-UCS2-H","UniKS-UCS2-V","UniKS-UTF16-H","UniKS-UTF16-V","UniKS-UTF32-H","UniKS-UTF32-V","UniKS-UTF8-H","UniKS-UTF8-V","V","WP-Symbol"],yr=2**24-1;class CMap{constructor(e=!1){this.codespaceRanges=[[],[],[],[]];this.numCodespaceRanges=0;this\
+._map=[];this.name="";this.vertical=!1;this.useCMap=null;this.builtInCMap=e}addCodespaceRange(e,t,a){this.codespaceRanges[e-1].push(t,a);this.numCodespaceRanges++}mapCidRange(e,t,a){if(t-e>yr)throw new Error("mapCidRange - ignoring data above MAX_MAP_RANGE.");for(;e<=t;)this._map[e++]=a++}mapBfRange(e,t,a){if(t-e>yr)throw new Error("mapBfRange - ignoring data above MAX_MAP_RANGE.");const r=a.length-1;for(;e<=t;){this._map[e++]=a;const t=a.charCodeAt(r)+1;t>255?a=a.substring(0,r-1)+String.fromCha\
+rCode(a.charCodeAt(r-1)+1)+"\\0":a=a.substring(0,r)+String.fromCharCode(t)}}mapBfRangeToArray(e,t,a){if(t-e>yr)throw new Error("mapBfRangeToArray - ignoring data above MAX_MAP_RANGE.");const r=a.length;let i=0;for(;e<=t&&i<r;){this._map[e]=a[i++];++e}}mapOne(e,t){this._map[e]=t}lookup(e){return this._map[e]}contains(e){return void 0!==this._map[e]}forEach(e){const t=this._map,a=t.length;if(a<=65536)for(let r=0;r<a;r++)void 0!==t[r]&&e(r,t[r]);else for(const a in t)e(a,t[a])}charCodeOf(e){const t=\
+this._map;if(t.length<=65536)return t.indexOf(e);for(const a in t)if(t[a]===e)return 0|a;return-1}getMap(){return this._map}readCharCode(e,t,a){let r=0;const i=this.codespaceRanges;for(let n=0,s=i.length;n<s;n++){r=(r<<8|e.charCodeAt(t+n))>>>0;const s=i[n];for(let e=0,t=s.length;e<t;){const t=s[e++],i=s[e++];if(r>=t&&r<=i){a.charcode=r;a.length=n+1;return}}}a.charcode=0;a.length=1}getCharCodeLength(e){const t=this.codespaceRanges;for(let a=0,r=t.length;a<r;a++){const r=t[a];for(let t=0,i=r.lengt\
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+all mapBfRange")}mapBfRangeToArray(e,t,a){unreachable("should not call mapBfRangeToArray")}mapOne(e,t){unreachable("should not call mapCidOne")}lookup(e){return Number.isInteger(e)&&e<=65535?e:void 0}contains(e){return Number.isInteger(e)&&e<=65535}forEach(e){for(let t=0;t<=65535;t++)e(t,t)}charCodeOf(e){return Number.isInteger(e)&&e<=65535?e:-1}getMap(){const e=new Array(65536);for(let t=0;t<=65535;t++)e[t]=t;return e}get length(){return 65536}get isIdentityCMap(){unreachable("should not access\
+ .isIdentityCMap")}}function strToInt(e){let t=0;for(let a=0;a<e.length;a++)t=t<<8|e.charCodeAt(a);return t>>>0}function expectString(e){if("string"!=typeof e)throw new FormatError("Malformed CMap: expected string.")}function expectInt(e){if(!Number.isInteger(e))throw new FormatError("Malformed CMap: expected int.")}function parseBfChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=a;e.mapOne(\
+r,i)}}function parseBfRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endbfrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();if(Number.isInteger(a)||"string"==typeof a){const t=Number.isInteger(a)?String.fromCharCode(a):a;e.mapBfRange(r,i,t)}else{if(!isCmd(a,"["))break;{a=t.getObj();const n=[];for(;!isCmd(a,"]")&&a!==wa;){n.push(a);a=t.getObj()}e.mapBfRangeToArray(r,i,n)}}}throw new FormatError("Invalid bf range.")}fu\
+nction parseCidChar(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidchar"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectInt(a);const i=a;e.mapOne(r,i)}}function parseCidRange(e,t){for(;;){let a=t.getObj();if(a===wa)break;if(isCmd(a,"endcidrange"))return;expectString(a);const r=strToInt(a);a=t.getObj();expectString(a);const i=strToInt(a);a=t.getObj();expectInt(a);const n=a;e.mapCidRange(r,i,n)}}function parseCodespaceRange(e,t){for(;;){let a=t.getObj();if(a===wa)b\
+reak;if(isCmd(a,"endcodespacerange"))return;if("string"!=typeof a)break;const r=strToInt(a);a=t.getObj();if("string"!=typeof a)break;const i=strToInt(a);e.addCodespaceRange(a.length,r,i)}throw new FormatError("Invalid codespace range.")}function parseWMode(e,t){const a=t.getObj();Number.isInteger(a)&&(e.vertical=!!a)}function parseCMapName(e,t){const a=t.getObj();a instanceof Name&&(e.name=a.name)}async function parseCMap(e,t,a,r){let i,n;e:for(;;)try{const a=t.getObj();if(a===wa)break;if(a inst\
+anceof Name){"WMode"===a.name?parseWMode(e,t):"CMapName"===a.name&&parseCMapName(e,t);i=a}else if(a instanceof Cmd)switch(a.cmd){case"endcmap":break e;case"usecmap":i instanceof Name&&(n=i.name);break;case"begincodespacerange":parseCodespaceRange(e,t);break;case"beginbfchar":parseBfChar(e,t);break;case"begincidchar":parseCidChar(e,t);break;case"beginbfrange":parseBfRange(e,t);break;case"begincidrange":parseCidRange(e,t)}}catch(e){if(e instanceof MissingDataException)throw e;warn("Invalid cMap da\
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+utesmall=63457;e.Abreve=258;e.Abreveacute=7854;e.Abrevecyrillic=1232;e.Abrevedotbelow=7862;e.Abrevegrave=7856;e.Abrevehookabove=7858;e.Abrevetilde=7860;e.Acaron=461;e.Acircle=9398;e.Acircumflex=194;e.Acircumflexacute=7844;e.Acircumflexdotbelow=7852;e.Acircumflexgrave=7846;e.Acircumflexhookabove=7848;e.Acircumflexsmall=63458;e.Acircumflextilde=7850;e.Acute=63177;e.Acutesmall=63412;e.Acyrillic=1040;e.Adblgrave=512;e.Adieresis=196;e.Adieresiscyrillic=1234;e.Adieresismacron=478;e.Adieresissmall=6346\
+0;e.Adotbelow=7840;e.Adotmacron=480;e.Agrave=192;e.Agravesmall=63456;e.Ahookabove=7842;e.Aiecyrillic=1236;e.Ainvertedbreve=514;e.Alpha=913;e.Alphatonos=902;e.Amacron=256;e.Amonospace=65313;e.Aogonek=260;e.Aring=197;e.Aringacute=506;e.Aringbelow=7680;e.Aringsmall=63461;e.Asmall=63329;e.Atilde=195;e.Atildesmall=63459;e.Aybarmenian=1329;e.B=66;e.Bcircle=9399;e.Bdotaccent=7682;e.Bdotbelow=7684;e.Becyrillic=1041;e.Benarmenian=1330;e.Beta=914;e.Bhook=385;e.Blinebelow=7686;e.Bmonospace=65314;e.Brevesma\
+ll=63220;e.Bsmall=63330;e.Btopbar=386;e.C=67;e.Caarmenian=1342;e.Cacute=262;e.Caron=63178;e.Caronsmall=63221;e.Ccaron=268;e.Ccedilla=199;e.Ccedillaacute=7688;e.Ccedillasmall=63463;e.Ccircle=9400;e.Ccircumflex=264;e.Cdot=266;e.Cdotaccent=266;e.Cedillasmall=63416;e.Chaarmenian=1353;e.Cheabkhasiancyrillic=1212;e.Checyrillic=1063;e.Chedescenderabkhasiancyrillic=1214;e.Chedescendercyrillic=1206;e.Chedieresiscyrillic=1268;e.Cheharmenian=1347;e.Chekhakassiancyrillic=1227;e.Cheverticalstrokecyrillic=120\
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+nospace=65316;e.Dotaccentsmall=63223;e.Dslash=272;e.Dsmall=63332;e.Dtopbar=395;e.Dz=498;e.Dzcaron=453;e.Dzeabkhasiancyrillic=1248;e.Dzecyrillic=1029;e.Dzhecyrillic=1039;e.E=69;e.Eacute=201;e.Eacutesmall=63465;e.Ebreve=276;e.Ecaron=282;e.Ecedillabreve=7708;e.Echarmenian=1333;e.Ecircle=9402;e.Ecircumflex=202;e.Ecircumflexacute=7870;e.Ecircumflexbelow=7704;e.Ecircumflexdotbelow=7878;e.Ecircumflexgrave=7872;e.Ecircumflexhookabove=7874;e.Ecircumflexsmall=63466;e.Ecircumflextilde=7876;e.Ecyrillic=1028\
+;e.Edblgrave=516;e.Edieresis=203;e.Edieresissmall=63467;e.Edot=278;e.Edotaccent=278;e.Edotbelow=7864;e.Efcyrillic=1060;e.Egrave=200;e.Egravesmall=63464;e.Eharmenian=1335;e.Ehookabove=7866;e.Eightroman=8551;e.Einvertedbreve=518;e.Eiotifiedcyrillic=1124;e.Elcyrillic=1051;e.Elevenroman=8554;e.Emacron=274;e.Emacronacute=7702;e.Emacrongrave=7700;e.Emcyrillic=1052;e.Emonospace=65317;e.Encyrillic=1053;e.Endescendercyrillic=1186;e.Eng=330;e.Enghecyrillic=1188;e.Enhookcyrillic=1223;e.Eogonek=280;e.Eopen=\
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+rillic=1182;e.Kaverticalstrokecyrillic=1180;e.Kcaron=488;e.Kcedilla=310;e.Kcircle=9408;e.Kcommaaccent=310;e.Kdotbelow=7730;e.Keharmenian=1364;e.Kenarmenian=1343;e.Khacyrillic=1061;e.Kheicoptic=998;e.Khook=408;e.Kjecyrillic=1036;e.Klinebelow=7732;e.Kmonospace=65323;e.Koppacyrillic=1152;e.Koppagreek=990;e.Ksicyrillic=1134;e.Ksmall=63339;e.L=76;e.LJ=455;e.LL=63167;e.Lacute=313;e.Lambda=923;e.Lcaron=317;e.Lcedilla=315;e.Lcircle=9409;e.Lcircumflexbelow=7740;e.Lcommaaccent=315;e.Ldot=319;e.Ldotaccent=\
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+2;e.Ocircumflexsmall=63476;e.Ocircumflextilde=7894;e.Ocyrillic=1054;e.Odblacute=336;e.Odblgrave=524;e.Odieresis=214;e.Odieresiscyrillic=1254;e.Odieresissmall=63478;e.Odotbelow=7884;e.Ogoneksmall=63227;e.Ograve=210;e.Ogravesmall=63474;e.Oharmenian=1365;e.Ohm=8486;e.Ohookabove=7886;e.Ohorn=416;e.Ohornacute=7898;e.Ohorndotbelow=7906;e.Ohorngrave=7900;e.Ohornhookabove=7902;e.Ohorntilde=7904;e.Ohungarumlaut=336;e.Oi=418;e.Oinvertedbreve=526;e.Omacron=332;e.Omacronacute=7762;e.Omacrongrave=7760;e.Omeg\
+a=8486;e.Omegacyrillic=1120;e.Omegagreek=937;e.Omegaroundcyrillic=1146;e.Omegatitlocyrillic=1148;e.Omegatonos=911;e.Omicron=927;e.Omicrontonos=908;e.Omonospace=65327;e.Oneroman=8544;e.Oogonek=490;e.Oogonekmacron=492;e.Oopen=390;e.Oslash=216;e.Oslashacute=510;e.Oslashsmall=63480;e.Osmall=63343;e.Ostrokeacute=510;e.Otcyrillic=1150;e.Otilde=213;e.Otildeacute=7756;e.Otildedieresis=7758;e.Otildesmall=63477;e.P=80;e.Pacute=7764;e.Pcircle=9413;e.Pdotaccent=7766;e.Pecyrillic=1055;e.Peharmenian=1354;e.Pe\
+middlehookcyrillic=1190;e.Phi=934;e.Phook=420;e.Pi=928;e.Piwrarmenian=1363;e.Pmonospace=65328;e.Psi=936;e.Psicyrillic=1136;e.Psmall=63344;e.Q=81;e.Qcircle=9414;e.Qmonospace=65329;e.Qsmall=63345;e.R=82;e.Raarmenian=1356;e.Racute=340;e.Rcaron=344;e.Rcedilla=342;e.Rcircle=9415;e.Rcommaaccent=342;e.Rdblgrave=528;e.Rdotaccent=7768;e.Rdotbelow=7770;e.Rdotbelowmacron=7772;e.Reharmenian=1360;e.Rfraktur=8476;e.Rho=929;e.Ringsmall=63228;e.Rinvertedbreve=530;e.Rlinebelow=7774;e.Rmonospace=65330;e.Rsmall=63\
+346;e.Rsmallinverted=641;e.Rsmallinvertedsuperior=694;e.S=83;e.SF010000=9484;e.SF020000=9492;e.SF030000=9488;e.SF040000=9496;e.SF050000=9532;e.SF060000=9516;e.SF070000=9524;e.SF080000=9500;e.SF090000=9508;e.SF100000=9472;e.SF110000=9474;e.SF190000=9569;e.SF200000=9570;e.SF210000=9558;e.SF220000=9557;e.SF230000=9571;e.SF240000=9553;e.SF250000=9559;e.SF260000=9565;e.SF270000=9564;e.SF280000=9563;e.SF360000=9566;e.SF370000=9567;e.SF380000=9562;e.SF390000=9556;e.SF400000=9577;e.SF410000=9574;e.SF420\
+000=9568;e.SF430000=9552;e.SF440000=9580;e.SF450000=9575;e.SF460000=9576;e.SF470000=9572;e.SF480000=9573;e.SF490000=9561;e.SF500000=9560;e.SF510000=9554;e.SF520000=9555;e.SF530000=9579;e.SF540000=9578;e.Sacute=346;e.Sacutedotaccent=7780;e.Sampigreek=992;e.Scaron=352;e.Scarondotaccent=7782;e.Scaronsmall=63229;e.Scedilla=350;e.Schwa=399;e.Schwacyrillic=1240;e.Schwadieresiscyrillic=1242;e.Scircle=9416;e.Scircumflex=348;e.Scommaaccent=536;e.Sdotaccent=7776;e.Sdotbelow=7778;e.Sdotbelowdotaccent=7784;\
+e.Seharmenian=1357;e.Sevenroman=8550;e.Shaarmenian=1351;e.Shacyrillic=1064;e.Shchacyrillic=1065;e.Sheicoptic=994;e.Shhacyrillic=1210;e.Shimacoptic=1004;e.Sigma=931;e.Sixroman=8549;e.Smonospace=65331;e.Softsigncyrillic=1068;e.Ssmall=63347;e.Stigmagreek=986;e.T=84;e.Tau=932;e.Tbar=358;e.Tcaron=356;e.Tcedilla=354;e.Tcircle=9417;e.Tcircumflexbelow=7792;e.Tcommaaccent=354;e.Tdotaccent=7786;e.Tdotbelow=7788;e.Tecyrillic=1058;e.Tedescendercyrillic=1196;e.Tenroman=8553;e.Tetsecyrillic=1204;e.Theta=920;e\
+.Thook=428;e.Thorn=222;e.Thornsmall=63486;e.Threeroman=8546;e.Tildesmall=63230;e.Tiwnarmenian=1359;e.Tlinebelow=7790;e.Tmonospace=65332;e.Toarmenian=1337;e.Tonefive=444;e.Tonesix=388;e.Tonetwo=423;e.Tretroflexhook=430;e.Tsecyrillic=1062;e.Tshecyrillic=1035;e.Tsmall=63348;e.Twelveroman=8555;e.Tworoman=8545;e.U=85;e.Uacute=218;e.Uacutesmall=63482;e.Ubreve=364;e.Ucaron=467;e.Ucircle=9418;e.Ucircumflex=219;e.Ucircumflexbelow=7798;e.Ucircumflexsmall=63483;e.Ucyrillic=1059;e.Udblacute=368;e.Udblgrave=\
+532;e.Udieresis=220;e.Udieresisacute=471;e.Udieresisbelow=7794;e.Udieresiscaron=473;e.Udieresiscyrillic=1264;e.Udieresisgrave=475;e.Udieresismacron=469;e.Udieresissmall=63484;e.Udotbelow=7908;e.Ugrave=217;e.Ugravesmall=63481;e.Uhookabove=7910;e.Uhorn=431;e.Uhornacute=7912;e.Uhorndotbelow=7920;e.Uhorngrave=7914;e.Uhornhookabove=7916;e.Uhorntilde=7918;e.Uhungarumlaut=368;e.Uhungarumlautcyrillic=1266;e.Uinvertedbreve=534;e.Ukcyrillic=1144;e.Umacron=362;e.Umacroncyrillic=1262;e.Umacrondieresis=7802;\
+e.Umonospace=65333;e.Uogonek=370;e.Upsilon=933;e.Upsilon1=978;e.Upsilonacutehooksymbolgreek=979;e.Upsilonafrican=433;e.Upsilondieresis=939;e.Upsilondieresishooksymbolgreek=980;e.Upsilonhooksymbol=978;e.Upsilontonos=910;e.Uring=366;e.Ushortcyrillic=1038;e.Usmall=63349;e.Ustraightcyrillic=1198;e.Ustraightstrokecyrillic=1200;e.Utilde=360;e.Utildeacute=7800;e.Utildebelow=7796;e.V=86;e.Vcircle=9419;e.Vdotbelow=7806;e.Vecyrillic=1042;e.Vewarmenian=1358;e.Vhook=434;e.Vmonospace=65334;e.Voarmenian=1352;\
+e.Vsmall=63350;e.Vtilde=7804;e.W=87;e.Wacute=7810;e.Wcircle=9420;e.Wcircumflex=372;e.Wdieresis=7812;e.Wdotaccent=7814;e.Wdotbelow=7816;e.Wgrave=7808;e.Wmonospace=65335;e.Wsmall=63351;e.X=88;e.Xcircle=9421;e.Xdieresis=7820;e.Xdotaccent=7818;e.Xeharmenian=1341;e.Xi=926;e.Xmonospace=65336;e.Xsmall=63352;e.Y=89;e.Yacute=221;e.Yacutesmall=63485;e.Yatcyrillic=1122;e.Ycircle=9422;e.Ycircumflex=374;e.Ydieresis=376;e.Ydieresissmall=63487;e.Ydotaccent=7822;e.Ydotbelow=7924;e.Yericyrillic=1067;e.Yerudieres\
+iscyrillic=1272;e.Ygrave=7922;e.Yhook=435;e.Yhookabove=7926;e.Yiarmenian=1349;e.Yicyrillic=1031;e.Yiwnarmenian=1362;e.Ymonospace=65337;e.Ysmall=63353;e.Ytilde=7928;e.Yusbigcyrillic=1130;e.Yusbigiotifiedcyrillic=1132;e.Yuslittlecyrillic=1126;e.Yuslittleiotifiedcyrillic=1128;e.Z=90;e.Zaarmenian=1334;e.Zacute=377;e.Zcaron=381;e.Zcaronsmall=63231;e.Zcircle=9423;e.Zcircumflex=7824;e.Zdot=379;e.Zdotaccent=379;e.Zdotbelow=7826;e.Zecyrillic=1047;e.Zedescendercyrillic=1176;e.Zedieresiscyrillic=1246;e.Zet\
+a=918;e.Zhearmenian=1338;e.Zhebrevecyrillic=1217;e.Zhecyrillic=1046;e.Zhedescendercyrillic=1174;e.Zhedieresiscyrillic=1244;e.Zlinebelow=7828;e.Zmonospace=65338;e.Zsmall=63354;e.Zstroke=437;e.a=97;e.aabengali=2438;e.aacute=225;e.aadeva=2310;e.aagujarati=2694;e.aagurmukhi=2566;e.aamatragurmukhi=2622;e.aarusquare=13059;e.aavowelsignbengali=2494;e.aavowelsigndeva=2366;e.aavowelsigngujarati=2750;e.abbreviationmarkarmenian=1375;e.abbreviationsigndeva=2416;e.abengali=2437;e.abopomofo=12570;e.abreve=259\
+;e.abreveacute=7855;e.abrevecyrillic=1233;e.abrevedotbelow=7863;e.abrevegrave=7857;e.abrevehookabove=7859;e.abrevetilde=7861;e.acaron=462;e.acircle=9424;e.acircumflex=226;e.acircumflexacute=7845;e.acircumflexdotbelow=7853;e.acircumflexgrave=7847;e.acircumflexhookabove=7849;e.acircumflextilde=7851;e.acute=180;e.acutebelowcmb=791;e.acutecmb=769;e.acutecomb=769;e.acutedeva=2388;e.acutelowmod=719;e.acutetonecmb=833;e.acyrillic=1072;e.adblgrave=513;e.addakgurmukhi=2673;e.adeva=2309;e.adieresis=228;e.\
+adieresiscyrillic=1235;e.adieresismacron=479;e.adotbelow=7841;e.adotmacron=481;e.ae=230;e.aeacute=509;e.aekorean=12624;e.aemacron=483;e.afii00208=8213;e.afii08941=8356;e.afii10017=1040;e.afii10018=1041;e.afii10019=1042;e.afii10020=1043;e.afii10021=1044;e.afii10022=1045;e.afii10023=1025;e.afii10024=1046;e.afii10025=1047;e.afii10026=1048;e.afii10027=1049;e.afii10028=1050;e.afii10029=1051;e.afii10030=1052;e.afii10031=1053;e.afii10032=1054;e.afii10033=1055;e.afii10034=1056;e.afii10035=1057;e.afii100\
+36=1058;e.afii10037=1059;e.afii10038=1060;e.afii10039=1061;e.afii10040=1062;e.afii10041=1063;e.afii10042=1064;e.afii10043=1065;e.afii10044=1066;e.afii10045=1067;e.afii10046=1068;e.afii10047=1069;e.afii10048=1070;e.afii10049=1071;e.afii10050=1168;e.afii10051=1026;e.afii10052=1027;e.afii10053=1028;e.afii10054=1029;e.afii10055=1030;e.afii10056=1031;e.afii10057=1032;e.afii10058=1033;e.afii10059=1034;e.afii10060=1035;e.afii10061=1036;e.afii10062=1038;e.afii10063=63172;e.afii10064=63173;e.afii10065=10\
+72;e.afii10066=1073;e.afii10067=1074;e.afii10068=1075;e.afii10069=1076;e.afii10070=1077;e.afii10071=1105;e.afii10072=1078;e.afii10073=1079;e.afii10074=1080;e.afii10075=1081;e.afii10076=1082;e.afii10077=1083;e.afii10078=1084;e.afii10079=1085;e.afii10080=1086;e.afii10081=1087;e.afii10082=1088;e.afii10083=1089;e.afii10084=1090;e.afii10085=1091;e.afii10086=1092;e.afii10087=1093;e.afii10088=1094;e.afii10089=1095;e.afii10090=1096;e.afii10091=1097;e.afii10092=1098;e.afii10093=1099;e.afii10094=1100;e.af\
+ii10095=1101;e.afii10096=1102;e.afii10097=1103;e.afii10098=1169;e.afii10099=1106;e.afii10100=1107;e.afii10101=1108;e.afii10102=1109;e.afii10103=1110;e.afii10104=1111;e.afii10105=1112;e.afii10106=1113;e.afii10107=1114;e.afii10108=1115;e.afii10109=1116;e.afii10110=1118;e.afii10145=1039;e.afii10146=1122;e.afii10147=1138;e.afii10148=1140;e.afii10192=63174;e.afii10193=1119;e.afii10194=1123;e.afii10195=1139;e.afii10196=1141;e.afii10831=63175;e.afii10832=63176;e.afii10846=1241;e.afii299=8206;e.afii300=\
+8207;e.afii301=8205;e.afii57381=1642;e.afii57388=1548;e.afii57392=1632;e.afii57393=1633;e.afii57394=1634;e.afii57395=1635;e.afii57396=1636;e.afii57397=1637;e.afii57398=1638;e.afii57399=1639;e.afii57400=1640;e.afii57401=1641;e.afii57403=1563;e.afii57407=1567;e.afii57409=1569;e.afii57410=1570;e.afii57411=1571;e.afii57412=1572;e.afii57413=1573;e.afii57414=1574;e.afii57415=1575;e.afii57416=1576;e.afii57417=1577;e.afii57418=1578;e.afii57419=1579;e.afii57420=1580;e.afii57421=1581;e.afii57422=1582;e.af\
+ii57423=1583;e.afii57424=1584;e.afii57425=1585;e.afii57426=1586;e.afii57427=1587;e.afii57428=1588;e.afii57429=1589;e.afii57430=1590;e.afii57431=1591;e.afii57432=1592;e.afii57433=1593;e.afii57434=1594;e.afii57440=1600;e.afii57441=1601;e.afii57442=1602;e.afii57443=1603;e.afii57444=1604;e.afii57445=1605;e.afii57446=1606;e.afii57448=1608;e.afii57449=1609;e.afii57450=1610;e.afii57451=1611;e.afii57452=1612;e.afii57453=1613;e.afii57454=1614;e.afii57455=1615;e.afii57456=1616;e.afii57457=1617;e.afii57458\
+=1618;e.afii57470=1607;e.afii57505=1700;e.afii57506=1662;e.afii57507=1670;e.afii57508=1688;e.afii57509=1711;e.afii57511=1657;e.afii57512=1672;e.afii57513=1681;e.afii57514=1722;e.afii57519=1746;e.afii57534=1749;e.afii57636=8362;e.afii57645=1470;e.afii57658=1475;e.afii57664=1488;e.afii57665=1489;e.afii57666=1490;e.afii57667=1491;e.afii57668=1492;e.afii57669=1493;e.afii57670=1494;e.afii57671=1495;e.afii57672=1496;e.afii57673=1497;e.afii57674=1498;e.afii57675=1499;e.afii57676=1500;e.afii57677=1501;e\
+.afii57678=1502;e.afii57679=1503;e.afii57680=1504;e.afii57681=1505;e.afii57682=1506;e.afii57683=1507;e.afii57684=1508;e.afii57685=1509;e.afii57686=1510;e.afii57687=1511;e.afii57688=1512;e.afii57689=1513;e.afii57690=1514;e.afii57694=64298;e.afii57695=64299;e.afii57700=64331;e.afii57705=64287;e.afii57716=1520;e.afii57717=1521;e.afii57718=1522;e.afii57723=64309;e.afii57793=1460;e.afii57794=1461;e.afii57795=1462;e.afii57796=1467;e.afii57797=1464;e.afii57798=1463;e.afii57799=1456;e.afii57800=1458;e.a\
+fii57801=1457;e.afii57802=1459;e.afii57803=1474;e.afii57804=1473;e.afii57806=1465;e.afii57807=1468;e.afii57839=1469;e.afii57841=1471;e.afii57842=1472;e.afii57929=700;e.afii61248=8453;e.afii61289=8467;e.afii61352=8470;e.afii61573=8236;e.afii61574=8237;e.afii61575=8238;e.afii61664=8204;e.afii63167=1645;e.afii64937=701;e.agrave=224;e.agujarati=2693;e.agurmukhi=2565;e.ahiragana=12354;e.ahookabove=7843;e.aibengali=2448;e.aibopomofo=12574;e.aideva=2320;e.aiecyrillic=1237;e.aigujarati=2704;e.aigurmukhi\
+=2576;e.aimatragurmukhi=2632;e.ainarabic=1593;e.ainfinalarabic=65226;e.aininitialarabic=65227;e.ainmedialarabic=65228;e.ainvertedbreve=515;e.aivowelsignbengali=2504;e.aivowelsigndeva=2376;e.aivowelsigngujarati=2760;e.akatakana=12450;e.akatakanahalfwidth=65393;e.akorean=12623;e.alef=1488;e.alefarabic=1575;e.alefdageshhebrew=64304;e.aleffinalarabic=65166;e.alefhamzaabovearabic=1571;e.alefhamzaabovefinalarabic=65156;e.alefhamzabelowarabic=1573;e.alefhamzabelowfinalarabic=65160;e.alefhebrew=1488;e.a\
+leflamedhebrew=64335;e.alefmaddaabovearabic=1570;e.alefmaddaabovefinalarabic=65154;e.alefmaksuraarabic=1609;e.alefmaksurafinalarabic=65264;e.alefmaksurainitialarabic=65267;e.alefmaksuramedialarabic=65268;e.alefpatahhebrew=64302;e.alefqamatshebrew=64303;e.aleph=8501;e.allequal=8780;e.alpha=945;e.alphatonos=940;e.amacron=257;e.amonospace=65345;e.ampersand=38;e.ampersandmonospace=65286;e.ampersandsmall=63270;e.amsquare=13250;e.anbopomofo=12578;e.angbopomofo=12580;e.angbracketleft=12296;e.angbracket\
+right=12297;e.angkhankhuthai=3674;e.angle=8736;e.anglebracketleft=12296;e.anglebracketleftvertical=65087;e.anglebracketright=12297;e.anglebracketrightvertical=65088;e.angleleft=9001;e.angleright=9002;e.angstrom=8491;e.anoteleia=903;e.anudattadeva=2386;e.anusvarabengali=2434;e.anusvaradeva=2306;e.anusvaragujarati=2690;e.aogonek=261;e.apaatosquare=13056;e.aparen=9372;e.apostrophearmenian=1370;e.apostrophemod=700;e.apple=63743;e.approaches=8784;e.approxequal=8776;e.approxequalorimage=8786;e.approxi\
+matelyequal=8773;e.araeaekorean=12686;e.araeakorean=12685;e.arc=8978;e.arighthalfring=7834;e.aring=229;e.aringacute=507;e.aringbelow=7681;e.arrowboth=8596;e.arrowdashdown=8675;e.arrowdashleft=8672;e.arrowdashright=8674;e.arrowdashup=8673;e.arrowdblboth=8660;e.arrowdbldown=8659;e.arrowdblleft=8656;e.arrowdblright=8658;e.arrowdblup=8657;e.arrowdown=8595;e.arrowdownleft=8601;e.arrowdownright=8600;e.arrowdownwhite=8681;e.arrowheaddownmod=709;e.arrowheadleftmod=706;e.arrowheadrightmod=707;e.arrowhead\
+upmod=708;e.arrowhorizex=63719;e.arrowleft=8592;e.arrowleftdbl=8656;e.arrowleftdblstroke=8653;e.arrowleftoverright=8646;e.arrowleftwhite=8678;e.arrowright=8594;e.arrowrightdblstroke=8655;e.arrowrightheavy=10142;e.arrowrightoverleft=8644;e.arrowrightwhite=8680;e.arrowtableft=8676;e.arrowtabright=8677;e.arrowup=8593;e.arrowupdn=8597;e.arrowupdnbse=8616;e.arrowupdownbase=8616;e.arrowupleft=8598;e.arrowupleftofdown=8645;e.arrowupright=8599;e.arrowupwhite=8679;e.arrowvertex=63718;e.asciicircum=94;e.a\
+sciicircummonospace=65342;e.asciitilde=126;e.asciitildemonospace=65374;e.ascript=593;e.ascriptturned=594;e.asmallhiragana=12353;e.asmallkatakana=12449;e.asmallkatakanahalfwidth=65383;e.asterisk=42;e.asteriskaltonearabic=1645;e.asteriskarabic=1645;e.asteriskmath=8727;e.asteriskmonospace=65290;e.asterisksmall=65121;e.asterism=8258;e.asuperior=63209;e.asymptoticallyequal=8771;e.at=64;e.atilde=227;e.atmonospace=65312;e.atsmall=65131;e.aturned=592;e.aubengali=2452;e.aubopomofo=12576;e.audeva=2324;e.a\
+ugujarati=2708;e.augurmukhi=2580;e.aulengthmarkbengali=2519;e.aumatragurmukhi=2636;e.auvowelsignbengali=2508;e.auvowelsigndeva=2380;e.auvowelsigngujarati=2764;e.avagrahadeva=2365;e.aybarmenian=1377;e.ayin=1506;e.ayinaltonehebrew=64288;e.ayinhebrew=1506;e.b=98;e.babengali=2476;e.backslash=92;e.backslashmonospace=65340;e.badeva=2348;e.bagujarati=2732;e.bagurmukhi=2604;e.bahiragana=12400;e.bahtthai=3647;e.bakatakana=12496;e.bar=124;e.barmonospace=65372;e.bbopomofo=12549;e.bcircle=9425;e.bdotaccent=\
+7683;e.bdotbelow=7685;e.beamedsixteenthnotes=9836;e.because=8757;e.becyrillic=1073;e.beharabic=1576;e.behfinalarabic=65168;e.behinitialarabic=65169;e.behiragana=12409;e.behmedialarabic=65170;e.behmeeminitialarabic=64671;e.behmeemisolatedarabic=64520;e.behnoonfinalarabic=64621;e.bekatakana=12505;e.benarmenian=1378;e.bet=1489;e.beta=946;e.betasymbolgreek=976;e.betdagesh=64305;e.betdageshhebrew=64305;e.bethebrew=1489;e.betrafehebrew=64332;e.bhabengali=2477;e.bhadeva=2349;e.bhagujarati=2733;e.bhagur\
+mukhi=2605;e.bhook=595;e.bihiragana=12403;e.bikatakana=12499;e.bilabialclick=664;e.bindigurmukhi=2562;e.birusquare=13105;e.blackcircle=9679;e.blackdiamond=9670;e.blackdownpointingtriangle=9660;e.blackleftpointingpointer=9668;e.blackleftpointingtriangle=9664;e.blacklenticularbracketleft=12304;e.blacklenticularbracketleftvertical=65083;e.blacklenticularbracketright=12305;e.blacklenticularbracketrightvertical=65084;e.blacklowerlefttriangle=9699;e.blacklowerrighttriangle=9698;e.blackrectangle=9644;e\
+.blackrightpointingpointer=9658;e.blackrightpointingtriangle=9654;e.blacksmallsquare=9642;e.blacksmilingface=9787;e.blacksquare=9632;e.blackstar=9733;e.blackupperlefttriangle=9700;e.blackupperrighttriangle=9701;e.blackuppointingsmalltriangle=9652;e.blackuppointingtriangle=9650;e.blank=9251;e.blinebelow=7687;e.block=9608;e.bmonospace=65346;e.bobaimaithai=3610;e.bohiragana=12412;e.bokatakana=12508;e.bparen=9373;e.bqsquare=13251;e.braceex=63732;e.braceleft=123;e.braceleftbt=63731;e.braceleftmid=637\
+30;e.braceleftmonospace=65371;e.braceleftsmall=65115;e.bracelefttp=63729;e.braceleftvertical=65079;e.braceright=125;e.bracerightbt=63742;e.bracerightmid=63741;e.bracerightmonospace=65373;e.bracerightsmall=65116;e.bracerighttp=63740;e.bracerightvertical=65080;e.bracketleft=91;e.bracketleftbt=63728;e.bracketleftex=63727;e.bracketleftmonospace=65339;e.bracketlefttp=63726;e.bracketright=93;e.bracketrightbt=63739;e.bracketrightex=63738;e.bracketrightmonospace=65341;e.bracketrighttp=63737;e.breve=728;\
+e.brevebelowcmb=814;e.brevecmb=774;e.breveinvertedbelowcmb=815;e.breveinvertedcmb=785;e.breveinverteddoublecmb=865;e.bridgebelowcmb=810;e.bridgeinvertedbelowcmb=826;e.brokenbar=166;e.bstroke=384;e.bsuperior=63210;e.btopbar=387;e.buhiragana=12406;e.bukatakana=12502;e.bullet=8226;e.bulletinverse=9688;e.bulletoperator=8729;e.bullseye=9678;e.c=99;e.caarmenian=1390;e.cabengali=2458;e.cacute=263;e.cadeva=2330;e.cagujarati=2714;e.cagurmukhi=2586;e.calsquare=13192;e.candrabindubengali=2433;e.candrabindu\
+cmb=784;e.candrabindudeva=2305;e.candrabindugujarati=2689;e.capslock=8682;e.careof=8453;e.caron=711;e.caronbelowcmb=812;e.caroncmb=780;e.carriagereturn=8629;e.cbopomofo=12568;e.ccaron=269;e.ccedilla=231;e.ccedillaacute=7689;e.ccircle=9426;e.ccircumflex=265;e.ccurl=597;e.cdot=267;e.cdotaccent=267;e.cdsquare=13253;e.cedilla=184;e.cedillacmb=807;e.cent=162;e.centigrade=8451;e.centinferior=63199;e.centmonospace=65504;e.centoldstyle=63394;e.centsuperior=63200;e.chaarmenian=1401;e.chabengali=2459;e.ch\
+adeva=2331;e.chagujarati=2715;e.chagurmukhi=2587;e.chbopomofo=12564;e.cheabkhasiancyrillic=1213;e.checkmark=10003;e.checyrillic=1095;e.chedescenderabkhasiancyrillic=1215;e.chedescendercyrillic=1207;e.chedieresiscyrillic=1269;e.cheharmenian=1395;e.chekhakassiancyrillic=1228;e.cheverticalstrokecyrillic=1209;e.chi=967;e.chieuchacirclekorean=12919;e.chieuchaparenkorean=12823;e.chieuchcirclekorean=12905;e.chieuchkorean=12618;e.chieuchparenkorean=12809;e.chochangthai=3594;e.chochanthai=3592;e.choching\
+thai=3593;e.chochoethai=3596;e.chook=392;e.cieucacirclekorean=12918;e.cieucaparenkorean=12822;e.cieuccirclekorean=12904;e.cieuckorean=12616;e.cieucparenkorean=12808;e.cieucuparenkorean=12828;e.circle=9675;e.circlecopyrt=169;e.circlemultiply=8855;e.circleot=8857;e.circleplus=8853;e.circlepostalmark=12342;e.circlewithlefthalfblack=9680;e.circlewithrighthalfblack=9681;e.circumflex=710;e.circumflexbelowcmb=813;e.circumflexcmb=770;e.clear=8999;e.clickalveolar=450;e.clickdental=448;e.clicklateral=449;\
+e.clickretroflex=451;e.club=9827;e.clubsuitblack=9827;e.clubsuitwhite=9831;e.cmcubedsquare=13220;e.cmonospace=65347;e.cmsquaredsquare=13216;e.coarmenian=1409;e.colon=58;e.colonmonetary=8353;e.colonmonospace=65306;e.colonsign=8353;e.colonsmall=65109;e.colontriangularhalfmod=721;e.colontriangularmod=720;e.comma=44;e.commaabovecmb=787;e.commaaboverightcmb=789;e.commaaccent=63171;e.commaarabic=1548;e.commaarmenian=1373;e.commainferior=63201;e.commamonospace=65292;e.commareversedabovecmb=788;e.commar\
+eversedmod=701;e.commasmall=65104;e.commasuperior=63202;e.commaturnedabovecmb=786;e.commaturnedmod=699;e.compass=9788;e.congruent=8773;e.contourintegral=8750;e.control=8963;e.controlACK=6;e.controlBEL=7;e.controlBS=8;e.controlCAN=24;e.controlCR=13;e.controlDC1=17;e.controlDC2=18;e.controlDC3=19;e.controlDC4=20;e.controlDEL=127;e.controlDLE=16;e.controlEM=25;e.controlENQ=5;e.controlEOT=4;e.controlESC=27;e.controlETB=23;e.controlETX=3;e.controlFF=12;e.controlFS=28;e.controlGS=29;e.controlHT=9;e.co\
+ntrolLF=10;e.controlNAK=21;e.controlNULL=0;e.controlRS=30;e.controlSI=15;e.controlSO=14;e.controlSOT=2;e.controlSTX=1;e.controlSUB=26;e.controlSYN=22;e.controlUS=31;e.controlVT=11;e.copyright=169;e.copyrightsans=63721;e.copyrightserif=63193;e.cornerbracketleft=12300;e.cornerbracketlefthalfwidth=65378;e.cornerbracketleftvertical=65089;e.cornerbracketright=12301;e.cornerbracketrighthalfwidth=65379;e.cornerbracketrightvertical=65090;e.corporationsquare=13183;e.cosquare=13255;e.coverkgsquare=13254;e\
+.cparen=9374;e.cruzeiro=8354;e.cstretched=663;e.curlyand=8911;e.curlyor=8910;e.currency=164;e.cyrBreve=63185;e.cyrFlex=63186;e.cyrbreve=63188;e.cyrflex=63189;e.d=100;e.daarmenian=1380;e.dabengali=2470;e.dadarabic=1590;e.dadeva=2342;e.dadfinalarabic=65214;e.dadinitialarabic=65215;e.dadmedialarabic=65216;e.dagesh=1468;e.dageshhebrew=1468;e.dagger=8224;e.daggerdbl=8225;e.dagujarati=2726;e.dagurmukhi=2598;e.dahiragana=12384;e.dakatakana=12480;e.dalarabic=1583;e.dalet=1491;e.daletdagesh=64307;e.dalet\
+dageshhebrew=64307;e.dalethebrew=1491;e.dalfinalarabic=65194;e.dammaarabic=1615;e.dammalowarabic=1615;e.dammatanaltonearabic=1612;e.dammatanarabic=1612;e.danda=2404;e.dargahebrew=1447;e.dargalefthebrew=1447;e.dasiapneumatacyrilliccmb=1157;e.dblGrave=63187;e.dblanglebracketleft=12298;e.dblanglebracketleftvertical=65085;e.dblanglebracketright=12299;e.dblanglebracketrightvertical=65086;e.dblarchinvertedbelowcmb=811;e.dblarrowleft=8660;e.dblarrowright=8658;e.dbldanda=2405;e.dblgrave=63190;e.dblgrave\
+cmb=783;e.dblintegral=8748;e.dbllowline=8215;e.dbllowlinecmb=819;e.dbloverlinecmb=831;e.dblprimemod=698;e.dblverticalbar=8214;e.dblverticallineabovecmb=782;e.dbopomofo=12553;e.dbsquare=13256;e.dcaron=271;e.dcedilla=7697;e.dcircle=9427;e.dcircumflexbelow=7699;e.dcroat=273;e.ddabengali=2465;e.ddadeva=2337;e.ddagujarati=2721;e.ddagurmukhi=2593;e.ddalarabic=1672;e.ddalfinalarabic=64393;e.dddhadeva=2396;e.ddhabengali=2466;e.ddhadeva=2338;e.ddhagujarati=2722;e.ddhagurmukhi=2594;e.ddotaccent=7691;e.ddo\
+tbelow=7693;e.decimalseparatorarabic=1643;e.decimalseparatorpersian=1643;e.decyrillic=1076;e.degree=176;e.dehihebrew=1453;e.dehiragana=12391;e.deicoptic=1007;e.dekatakana=12487;e.deleteleft=9003;e.deleteright=8998;e.delta=948;e.deltaturned=397;e.denominatorminusonenumeratorbengali=2552;e.dezh=676;e.dhabengali=2471;e.dhadeva=2343;e.dhagujarati=2727;e.dhagurmukhi=2599;e.dhook=599;e.dialytikatonos=901;e.dialytikatonoscmb=836;e.diamond=9830;e.diamondsuitwhite=9826;e.dieresis=168;e.dieresisacute=6319\
+1;e.dieresisbelowcmb=804;e.dieresiscmb=776;e.dieresisgrave=63192;e.dieresistonos=901;e.dihiragana=12386;e.dikatakana=12482;e.dittomark=12291;e.divide=247;e.divides=8739;e.divisionslash=8725;e.djecyrillic=1106;e.dkshade=9619;e.dlinebelow=7695;e.dlsquare=13207;e.dmacron=273;e.dmonospace=65348;e.dnblock=9604;e.dochadathai=3598;e.dodekthai=3604;e.dohiragana=12393;e.dokatakana=12489;e.dollar=36;e.dollarinferior=63203;e.dollarmonospace=65284;e.dollaroldstyle=63268;e.dollarsmall=65129;e.dollarsuperior=\
+63204;e.dong=8363;e.dorusquare=13094;e.dotaccent=729;e.dotaccentcmb=775;e.dotbelowcmb=803;e.dotbelowcomb=803;e.dotkatakana=12539;e.dotlessi=305;e.dotlessj=63166;e.dotlessjstrokehook=644;e.dotmath=8901;e.dottedcircle=9676;e.doubleyodpatah=64287;e.doubleyodpatahhebrew=64287;e.downtackbelowcmb=798;e.downtackmod=725;e.dparen=9375;e.dsuperior=63211;e.dtail=598;e.dtopbar=396;e.duhiragana=12389;e.dukatakana=12485;e.dz=499;e.dzaltone=675;e.dzcaron=454;e.dzcurl=677;e.dzeabkhasiancyrillic=1249;e.dzecyrill\
+ic=1109;e.dzhecyrillic=1119;e.e=101;e.eacute=233;e.earth=9793;e.ebengali=2447;e.ebopomofo=12572;e.ebreve=277;e.ecandradeva=2317;e.ecandragujarati=2701;e.ecandravowelsigndeva=2373;e.ecandravowelsigngujarati=2757;e.ecaron=283;e.ecedillabreve=7709;e.echarmenian=1381;e.echyiwnarmenian=1415;e.ecircle=9428;e.ecircumflex=234;e.ecircumflexacute=7871;e.ecircumflexbelow=7705;e.ecircumflexdotbelow=7879;e.ecircumflexgrave=7873;e.ecircumflexhookabove=7875;e.ecircumflextilde=7877;e.ecyrillic=1108;e.edblgrave=\
+517;e.edeva=2319;e.edieresis=235;e.edot=279;e.edotaccent=279;e.edotbelow=7865;e.eegurmukhi=2575;e.eematragurmukhi=2631;e.efcyrillic=1092;e.egrave=232;e.egujarati=2703;e.eharmenian=1383;e.ehbopomofo=12573;e.ehiragana=12360;e.ehookabove=7867;e.eibopomofo=12575;e.eight=56;e.eightarabic=1640;e.eightbengali=2542;e.eightcircle=9319;e.eightcircleinversesansserif=10129;e.eightdeva=2414;e.eighteencircle=9329;e.eighteenparen=9349;e.eighteenperiod=9369;e.eightgujarati=2798;e.eightgurmukhi=2670;e.eighthacka\
+rabic=1640;e.eighthangzhou=12328;e.eighthnotebeamed=9835;e.eightideographicparen=12839;e.eightinferior=8328;e.eightmonospace=65304;e.eightoldstyle=63288;e.eightparen=9339;e.eightperiod=9359;e.eightpersian=1784;e.eightroman=8567;e.eightsuperior=8312;e.eightthai=3672;e.einvertedbreve=519;e.eiotifiedcyrillic=1125;e.ekatakana=12456;e.ekatakanahalfwidth=65396;e.ekonkargurmukhi=2676;e.ekorean=12628;e.elcyrillic=1083;e.element=8712;e.elevencircle=9322;e.elevenparen=9342;e.elevenperiod=9362;e.elevenroma\
+n=8570;e.ellipsis=8230;e.ellipsisvertical=8942;e.emacron=275;e.emacronacute=7703;e.emacrongrave=7701;e.emcyrillic=1084;e.emdash=8212;e.emdashvertical=65073;e.emonospace=65349;e.emphasismarkarmenian=1371;e.emptyset=8709;e.enbopomofo=12579;e.encyrillic=1085;e.endash=8211;e.endashvertical=65074;e.endescendercyrillic=1187;e.eng=331;e.engbopomofo=12581;e.enghecyrillic=1189;e.enhookcyrillic=1224;e.enspace=8194;e.eogonek=281;e.eokorean=12627;e.eopen=603;e.eopenclosed=666;e.eopenreversed=604;e.eopenreve\
+rsedclosed=606;e.eopenreversedhook=605;e.eparen=9376;e.epsilon=949;e.epsilontonos=941;e.equal=61;e.equalmonospace=65309;e.equalsmall=65126;e.equalsuperior=8316;e.equivalence=8801;e.erbopomofo=12582;e.ercyrillic=1088;e.ereversed=600;e.ereversedcyrillic=1101;e.escyrillic=1089;e.esdescendercyrillic=1195;e.esh=643;e.eshcurl=646;e.eshortdeva=2318;e.eshortvowelsigndeva=2374;e.eshreversedloop=426;e.eshsquatreversed=645;e.esmallhiragana=12359;e.esmallkatakana=12455;e.esmallkatakanahalfwidth=65386;e.esti\
+mated=8494;e.esuperior=63212;e.eta=951;e.etarmenian=1384;e.etatonos=942;e.eth=240;e.etilde=7869;e.etildebelow=7707;e.etnahtafoukhhebrew=1425;e.etnahtafoukhlefthebrew=1425;e.etnahtahebrew=1425;e.etnahtalefthebrew=1425;e.eturned=477;e.eukorean=12641;e.euro=8364;e.evowelsignbengali=2503;e.evowelsigndeva=2375;e.evowelsigngujarati=2759;e.exclam=33;e.exclamarmenian=1372;e.exclamdbl=8252;e.exclamdown=161;e.exclamdownsmall=63393;e.exclammonospace=65281;e.exclamsmall=63265;e.existential=8707;e.ezh=658;e.\
+ezhcaron=495;e.ezhcurl=659;e.ezhreversed=441;e.ezhtail=442;e.f=102;e.fadeva=2398;e.fagurmukhi=2654;e.fahrenheit=8457;e.fathaarabic=1614;e.fathalowarabic=1614;e.fathatanarabic=1611;e.fbopomofo=12552;e.fcircle=9429;e.fdotaccent=7711;e.feharabic=1601;e.feharmenian=1414;e.fehfinalarabic=65234;e.fehinitialarabic=65235;e.fehmedialarabic=65236;e.feicoptic=997;e.female=9792;e.ff=64256;e.f_f=64256;e.ffi=64259;e.f_f_i=64259;e.ffl=64260;e.f_f_l=64260;e.fi=64257;e.f_i=64257;e.fifteencircle=9326;e.fifteenpar\
+en=9346;e.fifteenperiod=9366;e.figuredash=8210;e.filledbox=9632;e.filledrect=9644;e.finalkaf=1498;e.finalkafdagesh=64314;e.finalkafdageshhebrew=64314;e.finalkafhebrew=1498;e.finalmem=1501;e.finalmemhebrew=1501;e.finalnun=1503;e.finalnunhebrew=1503;e.finalpe=1507;e.finalpehebrew=1507;e.finaltsadi=1509;e.finaltsadihebrew=1509;e.firsttonechinese=713;e.fisheye=9673;e.fitacyrillic=1139;e.five=53;e.fivearabic=1637;e.fivebengali=2539;e.fivecircle=9316;e.fivecircleinversesansserif=10126;e.fivedeva=2411;\
+e.fiveeighths=8541;e.fivegujarati=2795;e.fivegurmukhi=2667;e.fivehackarabic=1637;e.fivehangzhou=12325;e.fiveideographicparen=12836;e.fiveinferior=8325;e.fivemonospace=65301;e.fiveoldstyle=63285;e.fiveparen=9336;e.fiveperiod=9356;e.fivepersian=1781;e.fiveroman=8564;e.fivesuperior=8309;e.fivethai=3669;e.fl=64258;e.f_l=64258;e.florin=402;e.fmonospace=65350;e.fmsquare=13209;e.fofanthai=3615;e.fofathai=3613;e.fongmanthai=3663;e.forall=8704;e.four=52;e.fourarabic=1636;e.fourbengali=2538;e.fourcircle=9\
+315;e.fourcircleinversesansserif=10125;e.fourdeva=2410;e.fourgujarati=2794;e.fourgurmukhi=2666;e.fourhackarabic=1636;e.fourhangzhou=12324;e.fourideographicparen=12835;e.fourinferior=8324;e.fourmonospace=65300;e.fournumeratorbengali=2551;e.fouroldstyle=63284;e.fourparen=9335;e.fourperiod=9355;e.fourpersian=1780;e.fourroman=8563;e.foursuperior=8308;e.fourteencircle=9325;e.fourteenparen=9345;e.fourteenperiod=9365;e.fourthai=3668;e.fourthtonechinese=715;e.fparen=9377;e.fraction=8260;e.franc=8355;e.g\
+=103;e.gabengali=2455;e.gacute=501;e.gadeva=2327;e.gafarabic=1711;e.gaffinalarabic=64403;e.gafinitialarabic=64404;e.gafmedialarabic=64405;e.gagujarati=2711;e.gagurmukhi=2583;e.gahiragana=12364;e.gakatakana=12460;e.gamma=947;e.gammalatinsmall=611;e.gammasuperior=736;e.gangiacoptic=1003;e.gbopomofo=12557;e.gbreve=287;e.gcaron=487;e.gcedilla=291;e.gcircle=9430;e.gcircumflex=285;e.gcommaaccent=291;e.gdot=289;e.gdotaccent=289;e.gecyrillic=1075;e.gehiragana=12370;e.gekatakana=12466;e.geometricallyequa\
+l=8785;e.gereshaccenthebrew=1436;e.gereshhebrew=1523;e.gereshmuqdamhebrew=1437;e.germandbls=223;e.gershayimaccenthebrew=1438;e.gershayimhebrew=1524;e.getamark=12307;e.ghabengali=2456;e.ghadarmenian=1394;e.ghadeva=2328;e.ghagujarati=2712;e.ghagurmukhi=2584;e.ghainarabic=1594;e.ghainfinalarabic=65230;e.ghaininitialarabic=65231;e.ghainmedialarabic=65232;e.ghemiddlehookcyrillic=1173;e.ghestrokecyrillic=1171;e.gheupturncyrillic=1169;e.ghhadeva=2394;e.ghhagurmukhi=2650;e.ghook=608;e.ghzsquare=13203;e.\
+gihiragana=12366;e.gikatakana=12462;e.gimarmenian=1379;e.gimel=1490;e.gimeldagesh=64306;e.gimeldageshhebrew=64306;e.gimelhebrew=1490;e.gjecyrillic=1107;e.glottalinvertedstroke=446;e.glottalstop=660;e.glottalstopinverted=662;e.glottalstopmod=704;e.glottalstopreversed=661;e.glottalstopreversedmod=705;e.glottalstopreversedsuperior=740;e.glottalstopstroke=673;e.glottalstopstrokereversed=674;e.gmacron=7713;e.gmonospace=65351;e.gohiragana=12372;e.gokatakana=12468;e.gparen=9378;e.gpasquare=13228;e.grad\
+ient=8711;e.grave=96;e.gravebelowcmb=790;e.gravecmb=768;e.gravecomb=768;e.gravedeva=2387;e.gravelowmod=718;e.gravemonospace=65344;e.gravetonecmb=832;e.greater=62;e.greaterequal=8805;e.greaterequalorless=8923;e.greatermonospace=65310;e.greaterorequivalent=8819;e.greaterorless=8823;e.greateroverequal=8807;e.greatersmall=65125;e.gscript=609;e.gstroke=485;e.guhiragana=12368;e.guillemotleft=171;e.guillemotright=187;e.guilsinglleft=8249;e.guilsinglright=8250;e.gukatakana=12464;e.guramusquare=13080;e.g\
+ysquare=13257;e.h=104;e.haabkhasiancyrillic=1193;e.haaltonearabic=1729;e.habengali=2489;e.hadescendercyrillic=1203;e.hadeva=2361;e.hagujarati=2745;e.hagurmukhi=2617;e.haharabic=1581;e.hahfinalarabic=65186;e.hahinitialarabic=65187;e.hahiragana=12399;e.hahmedialarabic=65188;e.haitusquare=13098;e.hakatakana=12495;e.hakatakanahalfwidth=65418;e.halantgurmukhi=2637;e.hamzaarabic=1569;e.hamzalowarabic=1569;e.hangulfiller=12644;e.hardsigncyrillic=1098;e.harpoonleftbarbup=8636;e.harpoonrightbarbup=8640;e\
+.hasquare=13258;e.hatafpatah=1458;e.hatafpatah16=1458;e.hatafpatah23=1458;e.hatafpatah2f=1458;e.hatafpatahhebrew=1458;e.hatafpatahnarrowhebrew=1458;e.hatafpatahquarterhebrew=1458;e.hatafpatahwidehebrew=1458;e.hatafqamats=1459;e.hatafqamats1b=1459;e.hatafqamats28=1459;e.hatafqamats34=1459;e.hatafqamatshebrew=1459;e.hatafqamatsnarrowhebrew=1459;e.hatafqamatsquarterhebrew=1459;e.hatafqamatswidehebrew=1459;e.hatafsegol=1457;e.hatafsegol17=1457;e.hatafsegol24=1457;e.hatafsegol30=1457;e.hatafsegolhebr\
+ew=1457;e.hatafsegolnarrowhebrew=1457;e.hatafsegolquarterhebrew=1457;e.hatafsegolwidehebrew=1457;e.hbar=295;e.hbopomofo=12559;e.hbrevebelow=7723;e.hcedilla=7721;e.hcircle=9431;e.hcircumflex=293;e.hdieresis=7719;e.hdotaccent=7715;e.hdotbelow=7717;e.he=1492;e.heart=9829;e.heartsuitblack=9829;e.heartsuitwhite=9825;e.hedagesh=64308;e.hedageshhebrew=64308;e.hehaltonearabic=1729;e.heharabic=1607;e.hehebrew=1492;e.hehfinalaltonearabic=64423;e.hehfinalalttwoarabic=65258;e.hehfinalarabic=65258;e.hehhamza\
+abovefinalarabic=64421;e.hehhamzaaboveisolatedarabic=64420;e.hehinitialaltonearabic=64424;e.hehinitialarabic=65259;e.hehiragana=12408;e.hehmedialaltonearabic=64425;e.hehmedialarabic=65260;e.heiseierasquare=13179;e.hekatakana=12504;e.hekatakanahalfwidth=65421;e.hekutaarusquare=13110;e.henghook=615;e.herutusquare=13113;e.het=1495;e.hethebrew=1495;e.hhook=614;e.hhooksuperior=689;e.hieuhacirclekorean=12923;e.hieuhaparenkorean=12827;e.hieuhcirclekorean=12909;e.hieuhkorean=12622;e.hieuhparenkorean=128\
+13;e.hihiragana=12402;e.hikatakana=12498;e.hikatakanahalfwidth=65419;e.hiriq=1460;e.hiriq14=1460;e.hiriq21=1460;e.hiriq2d=1460;e.hiriqhebrew=1460;e.hiriqnarrowhebrew=1460;e.hiriqquarterhebrew=1460;e.hiriqwidehebrew=1460;e.hlinebelow=7830;e.hmonospace=65352;e.hoarmenian=1392;e.hohipthai=3627;e.hohiragana=12411;e.hokatakana=12507;e.hokatakanahalfwidth=65422;e.holam=1465;e.holam19=1465;e.holam26=1465;e.holam32=1465;e.holamhebrew=1465;e.holamnarrowhebrew=1465;e.holamquarterhebrew=1465;e.holamwideheb\
+rew=1465;e.honokhukthai=3630;e.hookabovecomb=777;e.hookcmb=777;e.hookpalatalizedbelowcmb=801;e.hookretroflexbelowcmb=802;e.hoonsquare=13122;e.horicoptic=1001;e.horizontalbar=8213;e.horncmb=795;e.hotsprings=9832;e.house=8962;e.hparen=9379;e.hsuperior=688;e.hturned=613;e.huhiragana=12405;e.huiitosquare=13107;e.hukatakana=12501;e.hukatakanahalfwidth=65420;e.hungarumlaut=733;e.hungarumlautcmb=779;e.hv=405;e.hyphen=45;e.hypheninferior=63205;e.hyphenmonospace=65293;e.hyphensmall=65123;e.hyphensuperior\
+=63206;e.hyphentwo=8208;e.i=105;e.iacute=237;e.iacyrillic=1103;e.ibengali=2439;e.ibopomofo=12583;e.ibreve=301;e.icaron=464;e.icircle=9432;e.icircumflex=238;e.icyrillic=1110;e.idblgrave=521;e.ideographearthcircle=12943;e.ideographfirecircle=12939;e.ideographicallianceparen=12863;e.ideographiccallparen=12858;e.ideographiccentrecircle=12965;e.ideographicclose=12294;e.ideographiccomma=12289;e.ideographiccommaleft=65380;e.ideographiccongratulationparen=12855;e.ideographiccorrectcircle=12963;e.ideogra\
+phicearthparen=12847;e.ideographicenterpriseparen=12861;e.ideographicexcellentcircle=12957;e.ideographicfestivalparen=12864;e.ideographicfinancialcircle=12950;e.ideographicfinancialparen=12854;e.ideographicfireparen=12843;e.ideographichaveparen=12850;e.ideographichighcircle=12964;e.ideographiciterationmark=12293;e.ideographiclaborcircle=12952;e.ideographiclaborparen=12856;e.ideographicleftcircle=12967;e.ideographiclowcircle=12966;e.ideographicmedicinecircle=12969;e.ideographicmetalparen=12846;e.\
+ideographicmoonparen=12842;e.ideographicnameparen=12852;e.ideographicperiod=12290;e.ideographicprintcircle=12958;e.ideographicreachparen=12867;e.ideographicrepresentparen=12857;e.ideographicresourceparen=12862;e.ideographicrightcircle=12968;e.ideographicsecretcircle=12953;e.ideographicselfparen=12866;e.ideographicsocietyparen=12851;e.ideographicspace=12288;e.ideographicspecialparen=12853;e.ideographicstockparen=12849;e.ideographicstudyparen=12859;e.ideographicsunparen=12848;e.ideographicsupervis\
+eparen=12860;e.ideographicwaterparen=12844;e.ideographicwoodparen=12845;e.ideographiczero=12295;e.ideographmetalcircle=12942;e.ideographmooncircle=12938;e.ideographnamecircle=12948;e.ideographsuncircle=12944;e.ideographwatercircle=12940;e.ideographwoodcircle=12941;e.ideva=2311;e.idieresis=239;e.idieresisacute=7727;e.idieresiscyrillic=1253;e.idotbelow=7883;e.iebrevecyrillic=1239;e.iecyrillic=1077;e.ieungacirclekorean=12917;e.ieungaparenkorean=12821;e.ieungcirclekorean=12903;e.ieungkorean=12615;e.\
+ieungparenkorean=12807;e.igrave=236;e.igujarati=2695;e.igurmukhi=2567;e.ihiragana=12356;e.ihookabove=7881;e.iibengali=2440;e.iicyrillic=1080;e.iideva=2312;e.iigujarati=2696;e.iigurmukhi=2568;e.iimatragurmukhi=2624;e.iinvertedbreve=523;e.iishortcyrillic=1081;e.iivowelsignbengali=2496;e.iivowelsigndeva=2368;e.iivowelsigngujarati=2752;e.ij=307;e.ikatakana=12452;e.ikatakanahalfwidth=65394;e.ikorean=12643;e.ilde=732;e.iluyhebrew=1452;e.imacron=299;e.imacroncyrillic=1251;e.imageorapproximatelyequal=87\
+87;e.imatragurmukhi=2623;e.imonospace=65353;e.increment=8710;e.infinity=8734;e.iniarmenian=1387;e.integral=8747;e.integralbottom=8993;e.integralbt=8993;e.integralex=63733;e.integraltop=8992;e.integraltp=8992;e.intersection=8745;e.intisquare=13061;e.invbullet=9688;e.invcircle=9689;e.invsmileface=9787;e.iocyrillic=1105;e.iogonek=303;e.iota=953;e.iotadieresis=970;e.iotadieresistonos=912;e.iotalatin=617;e.iotatonos=943;e.iparen=9380;e.irigurmukhi=2674;e.ismallhiragana=12355;e.ismallkatakana=12451;e.\
+ismallkatakanahalfwidth=65384;e.issharbengali=2554;e.istroke=616;e.isuperior=63213;e.iterationhiragana=12445;e.iterationkatakana=12541;e.itilde=297;e.itildebelow=7725;e.iubopomofo=12585;e.iucyrillic=1102;e.ivowelsignbengali=2495;e.ivowelsigndeva=2367;e.ivowelsigngujarati=2751;e.izhitsacyrillic=1141;e.izhitsadblgravecyrillic=1143;e.j=106;e.jaarmenian=1393;e.jabengali=2460;e.jadeva=2332;e.jagujarati=2716;e.jagurmukhi=2588;e.jbopomofo=12560;e.jcaron=496;e.jcircle=9433;e.jcircumflex=309;e.jcrossedta\
+il=669;e.jdotlessstroke=607;e.jecyrillic=1112;e.jeemarabic=1580;e.jeemfinalarabic=65182;e.jeeminitialarabic=65183;e.jeemmedialarabic=65184;e.jeharabic=1688;e.jehfinalarabic=64395;e.jhabengali=2461;e.jhadeva=2333;e.jhagujarati=2717;e.jhagurmukhi=2589;e.jheharmenian=1403;e.jis=12292;e.jmonospace=65354;e.jparen=9381;e.jsuperior=690;e.k=107;e.kabashkircyrillic=1185;e.kabengali=2453;e.kacute=7729;e.kacyrillic=1082;e.kadescendercyrillic=1179;e.kadeva=2325;e.kaf=1499;e.kafarabic=1603;e.kafdagesh=64315;\
+e.kafdageshhebrew=64315;e.kaffinalarabic=65242;e.kafhebrew=1499;e.kafinitialarabic=65243;e.kafmedialarabic=65244;e.kafrafehebrew=64333;e.kagujarati=2709;e.kagurmukhi=2581;e.kahiragana=12363;e.kahookcyrillic=1220;e.kakatakana=12459;e.kakatakanahalfwidth=65398;e.kappa=954;e.kappasymbolgreek=1008;e.kapyeounmieumkorean=12657;e.kapyeounphieuphkorean=12676;e.kapyeounpieupkorean=12664;e.kapyeounssangpieupkorean=12665;e.karoriisquare=13069;e.kashidaautoarabic=1600;e.kashidaautonosidebearingarabic=1600;e\
+.kasmallkatakana=12533;e.kasquare=13188;e.kasraarabic=1616;e.kasratanarabic=1613;e.kastrokecyrillic=1183;e.katahiraprolongmarkhalfwidth=65392;e.kaverticalstrokecyrillic=1181;e.kbopomofo=12558;e.kcalsquare=13193;e.kcaron=489;e.kcedilla=311;e.kcircle=9434;e.kcommaaccent=311;e.kdotbelow=7731;e.keharmenian=1412;e.kehiragana=12369;e.kekatakana=12465;e.kekatakanahalfwidth=65401;e.kenarmenian=1391;e.kesmallkatakana=12534;e.kgreenlandic=312;e.khabengali=2454;e.khacyrillic=1093;e.khadeva=2326;e.khagujara\
+ti=2710;e.khagurmukhi=2582;e.khaharabic=1582;e.khahfinalarabic=65190;e.khahinitialarabic=65191;e.khahmedialarabic=65192;e.kheicoptic=999;e.khhadeva=2393;e.khhagurmukhi=2649;e.khieukhacirclekorean=12920;e.khieukhaparenkorean=12824;e.khieukhcirclekorean=12906;e.khieukhkorean=12619;e.khieukhparenkorean=12810;e.khokhaithai=3586;e.khokhonthai=3589;e.khokhuatthai=3587;e.khokhwaithai=3588;e.khomutthai=3675;e.khook=409;e.khorakhangthai=3590;e.khzsquare=13201;e.kihiragana=12365;e.kikatakana=12461;e.kikat\
+akanahalfwidth=65399;e.kiroguramusquare=13077;e.kiromeetorusquare=13078;e.kirosquare=13076;e.kiyeokacirclekorean=12910;e.kiyeokaparenkorean=12814;e.kiyeokcirclekorean=12896;e.kiyeokkorean=12593;e.kiyeokparenkorean=12800;e.kiyeoksioskorean=12595;e.kjecyrillic=1116;e.klinebelow=7733;e.klsquare=13208;e.kmcubedsquare=13222;e.kmonospace=65355;e.kmsquaredsquare=13218;e.kohiragana=12371;e.kohmsquare=13248;e.kokaithai=3585;e.kokatakana=12467;e.kokatakanahalfwidth=65402;e.kooposquare=13086;e.koppacyrilli\
+c=1153;e.koreanstandardsymbol=12927;e.koroniscmb=835;e.kparen=9382;e.kpasquare=13226;e.ksicyrillic=1135;e.ktsquare=13263;e.kturned=670;e.kuhiragana=12367;e.kukatakana=12463;e.kukatakanahalfwidth=65400;e.kvsquare=13240;e.kwsquare=13246;e.l=108;e.labengali=2482;e.lacute=314;e.ladeva=2354;e.lagujarati=2738;e.lagurmukhi=2610;e.lakkhangyaothai=3653;e.lamaleffinalarabic=65276;e.lamalefhamzaabovefinalarabic=65272;e.lamalefhamzaaboveisolatedarabic=65271;e.lamalefhamzabelowfinalarabic=65274;e.lamalefhamz\
+abelowisolatedarabic=65273;e.lamalefisolatedarabic=65275;e.lamalefmaddaabovefinalarabic=65270;e.lamalefmaddaaboveisolatedarabic=65269;e.lamarabic=1604;e.lambda=955;e.lambdastroke=411;e.lamed=1500;e.lameddagesh=64316;e.lameddageshhebrew=64316;e.lamedhebrew=1500;e.lamfinalarabic=65246;e.lamhahinitialarabic=64714;e.laminitialarabic=65247;e.lamjeeminitialarabic=64713;e.lamkhahinitialarabic=64715;e.lamlamhehisolatedarabic=65010;e.lammedialarabic=65248;e.lammeemhahinitialarabic=64904;e.lammeeminitiala\
+rabic=64716;e.largecircle=9711;e.lbar=410;e.lbelt=620;e.lbopomofo=12556;e.lcaron=318;e.lcedilla=316;e.lcircle=9435;e.lcircumflexbelow=7741;e.lcommaaccent=316;e.ldot=320;e.ldotaccent=320;e.ldotbelow=7735;e.ldotbelowmacron=7737;e.leftangleabovecmb=794;e.lefttackbelowcmb=792;e.less=60;e.lessequal=8804;e.lessequalorgreater=8922;e.lessmonospace=65308;e.lessorequivalent=8818;e.lessorgreater=8822;e.lessoverequal=8806;e.lesssmall=65124;e.lezh=622;e.lfblock=9612;e.lhookretroflex=621;e.lira=8356;e.liwnarm\
+enian=1388;e.lj=457;e.ljecyrillic=1113;e.ll=63168;e.lladeva=2355;e.llagujarati=2739;e.llinebelow=7739;e.llladeva=2356;e.llvocalicbengali=2529;e.llvocalicdeva=2401;e.llvocalicvowelsignbengali=2531;e.llvocalicvowelsigndeva=2403;e.lmiddletilde=619;e.lmonospace=65356;e.lmsquare=13264;e.lochulathai=3628;e.logicaland=8743;e.logicalnot=172;e.logicalnotreversed=8976;e.logicalor=8744;e.lolingthai=3621;e.longs=383;e.lowlinecenterline=65102;e.lowlinecmb=818;e.lowlinedashed=65101;e.lozenge=9674;e.lparen=938\
+3;e.lslash=322;e.lsquare=8467;e.lsuperior=63214;e.ltshade=9617;e.luthai=3622;e.lvocalicbengali=2444;e.lvocalicdeva=2316;e.lvocalicvowelsignbengali=2530;e.lvocalicvowelsigndeva=2402;e.lxsquare=13267;e.m=109;e.mabengali=2478;e.macron=175;e.macronbelowcmb=817;e.macroncmb=772;e.macronlowmod=717;e.macronmonospace=65507;e.macute=7743;e.madeva=2350;e.magujarati=2734;e.magurmukhi=2606;e.mahapakhhebrew=1444;e.mahapakhlefthebrew=1444;e.mahiragana=12414;e.maichattawalowleftthai=63637;e.maichattawalowrightt\
+hai=63636;e.maichattawathai=3659;e.maichattawaupperleftthai=63635;e.maieklowleftthai=63628;e.maieklowrightthai=63627;e.maiekthai=3656;e.maiekupperleftthai=63626;e.maihanakatleftthai=63620;e.maihanakatthai=3633;e.maitaikhuleftthai=63625;e.maitaikhuthai=3655;e.maitholowleftthai=63631;e.maitholowrightthai=63630;e.maithothai=3657;e.maithoupperleftthai=63629;e.maitrilowleftthai=63634;e.maitrilowrightthai=63633;e.maitrithai=3658;e.maitriupperleftthai=63632;e.maiyamokthai=3654;e.makatakana=12510;e.maka\
+takanahalfwidth=65423;e.male=9794;e.mansyonsquare=13127;e.maqafhebrew=1470;e.mars=9794;e.masoracirclehebrew=1455;e.masquare=13187;e.mbopomofo=12551;e.mbsquare=13268;e.mcircle=9436;e.mcubedsquare=13221;e.mdotaccent=7745;e.mdotbelow=7747;e.meemarabic=1605;e.meemfinalarabic=65250;e.meeminitialarabic=65251;e.meemmedialarabic=65252;e.meemmeeminitialarabic=64721;e.meemmeemisolatedarabic=64584;e.meetorusquare=13133;e.mehiragana=12417;e.meizierasquare=13182;e.mekatakana=12513;e.mekatakanahalfwidth=65426\
+;e.mem=1502;e.memdagesh=64318;e.memdageshhebrew=64318;e.memhebrew=1502;e.menarmenian=1396;e.merkhahebrew=1445;e.merkhakefulahebrew=1446;e.merkhakefulalefthebrew=1446;e.merkhalefthebrew=1445;e.mhook=625;e.mhzsquare=13202;e.middledotkatakanahalfwidth=65381;e.middot=183;e.mieumacirclekorean=12914;e.mieumaparenkorean=12818;e.mieumcirclekorean=12900;e.mieumkorean=12609;e.mieumpansioskorean=12656;e.mieumparenkorean=12804;e.mieumpieupkorean=12654;e.mieumsioskorean=12655;e.mihiragana=12415;e.mikatakana=\
+12511;e.mikatakanahalfwidth=65424;e.minus=8722;e.minusbelowcmb=800;e.minuscircle=8854;e.minusmod=727;e.minusplus=8723;e.minute=8242;e.miribaarusquare=13130;e.mirisquare=13129;e.mlonglegturned=624;e.mlsquare=13206;e.mmcubedsquare=13219;e.mmonospace=65357;e.mmsquaredsquare=13215;e.mohiragana=12418;e.mohmsquare=13249;e.mokatakana=12514;e.mokatakanahalfwidth=65427;e.molsquare=13270;e.momathai=3617;e.moverssquare=13223;e.moverssquaredsquare=13224;e.mparen=9384;e.mpasquare=13227;e.mssquare=13235;e.msu\
+perior=63215;e.mturned=623;e.mu=181;e.mu1=181;e.muasquare=13186;e.muchgreater=8811;e.muchless=8810;e.mufsquare=13196;e.mugreek=956;e.mugsquare=13197;e.muhiragana=12416;e.mukatakana=12512;e.mukatakanahalfwidth=65425;e.mulsquare=13205;e.multiply=215;e.mumsquare=13211;e.munahhebrew=1443;e.munahlefthebrew=1443;e.musicalnote=9834;e.musicalnotedbl=9835;e.musicflatsign=9837;e.musicsharpsign=9839;e.mussquare=13234;e.muvsquare=13238;e.muwsquare=13244;e.mvmegasquare=13241;e.mvsquare=13239;e.mwmegasquare=1\
+3247;e.mwsquare=13245;e.n=110;e.nabengali=2472;e.nabla=8711;e.nacute=324;e.nadeva=2344;e.nagujarati=2728;e.nagurmukhi=2600;e.nahiragana=12394;e.nakatakana=12490;e.nakatakanahalfwidth=65413;e.napostrophe=329;e.nasquare=13185;e.nbopomofo=12555;e.nbspace=160;e.ncaron=328;e.ncedilla=326;e.ncircle=9437;e.ncircumflexbelow=7755;e.ncommaaccent=326;e.ndotaccent=7749;e.ndotbelow=7751;e.nehiragana=12397;e.nekatakana=12493;e.nekatakanahalfwidth=65416;e.newsheqelsign=8362;e.nfsquare=13195;e.ngabengali=2457;e\
+.ngadeva=2329;e.ngagujarati=2713;e.ngagurmukhi=2585;e.ngonguthai=3591;e.nhiragana=12435;e.nhookleft=626;e.nhookretroflex=627;e.nieunacirclekorean=12911;e.nieunaparenkorean=12815;e.nieuncieuckorean=12597;e.nieuncirclekorean=12897;e.nieunhieuhkorean=12598;e.nieunkorean=12596;e.nieunpansioskorean=12648;e.nieunparenkorean=12801;e.nieunsioskorean=12647;e.nieuntikeutkorean=12646;e.nihiragana=12395;e.nikatakana=12491;e.nikatakanahalfwidth=65414;e.nikhahitleftthai=63641;e.nikhahitthai=3661;e.nine=57;e.n\
+inearabic=1641;e.ninebengali=2543;e.ninecircle=9320;e.ninecircleinversesansserif=10130;e.ninedeva=2415;e.ninegujarati=2799;e.ninegurmukhi=2671;e.ninehackarabic=1641;e.ninehangzhou=12329;e.nineideographicparen=12840;e.nineinferior=8329;e.ninemonospace=65305;e.nineoldstyle=63289;e.nineparen=9340;e.nineperiod=9360;e.ninepersian=1785;e.nineroman=8568;e.ninesuperior=8313;e.nineteencircle=9330;e.nineteenparen=9350;e.nineteenperiod=9370;e.ninethai=3673;e.nj=460;e.njecyrillic=1114;e.nkatakana=12531;e.nk\
+atakanahalfwidth=65437;e.nlegrightlong=414;e.nlinebelow=7753;e.nmonospace=65358;e.nmsquare=13210;e.nnabengali=2467;e.nnadeva=2339;e.nnagujarati=2723;e.nnagurmukhi=2595;e.nnnadeva=2345;e.nohiragana=12398;e.nokatakana=12494;e.nokatakanahalfwidth=65417;e.nonbreakingspace=160;e.nonenthai=3603;e.nonuthai=3609;e.noonarabic=1606;e.noonfinalarabic=65254;e.noonghunnaarabic=1722;e.noonghunnafinalarabic=64415;e.nooninitialarabic=65255;e.noonjeeminitialarabic=64722;e.noonjeemisolatedarabic=64587;e.noonmedia\
+larabic=65256;e.noonmeeminitialarabic=64725;e.noonmeemisolatedarabic=64590;e.noonnoonfinalarabic=64653;e.notcontains=8716;e.notelement=8713;e.notelementof=8713;e.notequal=8800;e.notgreater=8815;e.notgreaternorequal=8817;e.notgreaternorless=8825;e.notidentical=8802;e.notless=8814;e.notlessnorequal=8816;e.notparallel=8742;e.notprecedes=8832;e.notsubset=8836;e.notsucceeds=8833;e.notsuperset=8837;e.nowarmenian=1398;e.nparen=9385;e.nssquare=13233;e.nsuperior=8319;e.ntilde=241;e.nu=957;e.nuhiragana=12\
+396;e.nukatakana=12492;e.nukatakanahalfwidth=65415;e.nuktabengali=2492;e.nuktadeva=2364;e.nuktagujarati=2748;e.nuktagurmukhi=2620;e.numbersign=35;e.numbersignmonospace=65283;e.numbersignsmall=65119;e.numeralsigngreek=884;e.numeralsignlowergreek=885;e.numero=8470;e.nun=1504;e.nundagesh=64320;e.nundageshhebrew=64320;e.nunhebrew=1504;e.nvsquare=13237;e.nwsquare=13243;e.nyabengali=2462;e.nyadeva=2334;e.nyagujarati=2718;e.nyagurmukhi=2590;e.o=111;e.oacute=243;e.oangthai=3629;e.obarred=629;e.obarredcy\
+rillic=1257;e.obarreddieresiscyrillic=1259;e.obengali=2451;e.obopomofo=12571;e.obreve=335;e.ocandradeva=2321;e.ocandragujarati=2705;e.ocandravowelsigndeva=2377;e.ocandravowelsigngujarati=2761;e.ocaron=466;e.ocircle=9438;e.ocircumflex=244;e.ocircumflexacute=7889;e.ocircumflexdotbelow=7897;e.ocircumflexgrave=7891;e.ocircumflexhookabove=7893;e.ocircumflextilde=7895;e.ocyrillic=1086;e.odblacute=337;e.odblgrave=525;e.odeva=2323;e.odieresis=246;e.odieresiscyrillic=1255;e.odotbelow=7885;e.oe=339;e.oeko\
+rean=12634;e.ogonek=731;e.ogonekcmb=808;e.ograve=242;e.ogujarati=2707;e.oharmenian=1413;e.ohiragana=12362;e.ohookabove=7887;e.ohorn=417;e.ohornacute=7899;e.ohorndotbelow=7907;e.ohorngrave=7901;e.ohornhookabove=7903;e.ohorntilde=7905;e.ohungarumlaut=337;e.oi=419;e.oinvertedbreve=527;e.okatakana=12458;e.okatakanahalfwidth=65397;e.okorean=12631;e.olehebrew=1451;e.omacron=333;e.omacronacute=7763;e.omacrongrave=7761;e.omdeva=2384;e.omega=969;e.omega1=982;e.omegacyrillic=1121;e.omegalatinclosed=631;e.\
+omegaroundcyrillic=1147;e.omegatitlocyrillic=1149;e.omegatonos=974;e.omgujarati=2768;e.omicron=959;e.omicrontonos=972;e.omonospace=65359;e.one=49;e.onearabic=1633;e.onebengali=2535;e.onecircle=9312;e.onecircleinversesansserif=10122;e.onedeva=2407;e.onedotenleader=8228;e.oneeighth=8539;e.onefitted=63196;e.onegujarati=2791;e.onegurmukhi=2663;e.onehackarabic=1633;e.onehalf=189;e.onehangzhou=12321;e.oneideographicparen=12832;e.oneinferior=8321;e.onemonospace=65297;e.onenumeratorbengali=2548;e.oneold\
+style=63281;e.oneparen=9332;e.oneperiod=9352;e.onepersian=1777;e.onequarter=188;e.oneroman=8560;e.onesuperior=185;e.onethai=3665;e.onethird=8531;e.oogonek=491;e.oogonekmacron=493;e.oogurmukhi=2579;e.oomatragurmukhi=2635;e.oopen=596;e.oparen=9386;e.openbullet=9702;e.option=8997;e.ordfeminine=170;e.ordmasculine=186;e.orthogonal=8735;e.oshortdeva=2322;e.oshortvowelsigndeva=2378;e.oslash=248;e.oslashacute=511;e.osmallhiragana=12361;e.osmallkatakana=12457;e.osmallkatakanahalfwidth=65387;e.ostrokeacut\
+e=511;e.osuperior=63216;e.otcyrillic=1151;e.otilde=245;e.otildeacute=7757;e.otildedieresis=7759;e.oubopomofo=12577;e.overline=8254;e.overlinecenterline=65098;e.overlinecmb=773;e.overlinedashed=65097;e.overlinedblwavy=65100;e.overlinewavy=65099;e.overscore=175;e.ovowelsignbengali=2507;e.ovowelsigndeva=2379;e.ovowelsigngujarati=2763;e.p=112;e.paampssquare=13184;e.paasentosquare=13099;e.pabengali=2474;e.pacute=7765;e.padeva=2346;e.pagedown=8671;e.pageup=8670;e.pagujarati=2730;e.pagurmukhi=2602;e.pa\
+hiragana=12401;e.paiyannoithai=3631;e.pakatakana=12497;e.palatalizationcyrilliccmb=1156;e.palochkacyrillic=1216;e.pansioskorean=12671;e.paragraph=182;e.parallel=8741;e.parenleft=40;e.parenleftaltonearabic=64830;e.parenleftbt=63725;e.parenleftex=63724;e.parenleftinferior=8333;e.parenleftmonospace=65288;e.parenleftsmall=65113;e.parenleftsuperior=8317;e.parenlefttp=63723;e.parenleftvertical=65077;e.parenright=41;e.parenrightaltonearabic=64831;e.parenrightbt=63736;e.parenrightex=63735;e.parenrightin\
+ferior=8334;e.parenrightmonospace=65289;e.parenrightsmall=65114;e.parenrightsuperior=8318;e.parenrighttp=63734;e.parenrightvertical=65078;e.partialdiff=8706;e.paseqhebrew=1472;e.pashtahebrew=1433;e.pasquare=13225;e.patah=1463;e.patah11=1463;e.patah1d=1463;e.patah2a=1463;e.patahhebrew=1463;e.patahnarrowhebrew=1463;e.patahquarterhebrew=1463;e.patahwidehebrew=1463;e.pazerhebrew=1441;e.pbopomofo=12550;e.pcircle=9439;e.pdotaccent=7767;e.pe=1508;e.pecyrillic=1087;e.pedagesh=64324;e.pedageshhebrew=6432\
+4;e.peezisquare=13115;e.pefinaldageshhebrew=64323;e.peharabic=1662;e.peharmenian=1402;e.pehebrew=1508;e.pehfinalarabic=64343;e.pehinitialarabic=64344;e.pehiragana=12410;e.pehmedialarabic=64345;e.pekatakana=12506;e.pemiddlehookcyrillic=1191;e.perafehebrew=64334;e.percent=37;e.percentarabic=1642;e.percentmonospace=65285;e.percentsmall=65130;e.period=46;e.periodarmenian=1417;e.periodcentered=183;e.periodhalfwidth=65377;e.periodinferior=63207;e.periodmonospace=65294;e.periodsmall=65106;e.periodsuper\
+ior=63208;e.perispomenigreekcmb=834;e.perpendicular=8869;e.perthousand=8240;e.peseta=8359;e.pfsquare=13194;e.phabengali=2475;e.phadeva=2347;e.phagujarati=2731;e.phagurmukhi=2603;e.phi=966;e.phi1=981;e.phieuphacirclekorean=12922;e.phieuphaparenkorean=12826;e.phieuphcirclekorean=12908;e.phieuphkorean=12621;e.phieuphparenkorean=12812;e.philatin=632;e.phinthuthai=3642;e.phisymbolgreek=981;e.phook=421;e.phophanthai=3614;e.phophungthai=3612;e.phosamphaothai=3616;e.pi=960;e.pieupacirclekorean=12915;e.p\
+ieupaparenkorean=12819;e.pieupcieuckorean=12662;e.pieupcirclekorean=12901;e.pieupkiyeokkorean=12658;e.pieupkorean=12610;e.pieupparenkorean=12805;e.pieupsioskiyeokkorean=12660;e.pieupsioskorean=12612;e.pieupsiostikeutkorean=12661;e.pieupthieuthkorean=12663;e.pieuptikeutkorean=12659;e.pihiragana=12404;e.pikatakana=12500;e.pisymbolgreek=982;e.piwrarmenian=1411;e.planckover2pi=8463;e.planckover2pi1=8463;e.plus=43;e.plusbelowcmb=799;e.pluscircle=8853;e.plusminus=177;e.plusmod=726;e.plusmonospace=6529\
+1;e.plussmall=65122;e.plussuperior=8314;e.pmonospace=65360;e.pmsquare=13272;e.pohiragana=12413;e.pointingindexdownwhite=9759;e.pointingindexleftwhite=9756;e.pointingindexrightwhite=9758;e.pointingindexupwhite=9757;e.pokatakana=12509;e.poplathai=3611;e.postalmark=12306;e.postalmarkface=12320;e.pparen=9387;e.precedes=8826;e.prescription=8478;e.primemod=697;e.primereversed=8245;e.product=8719;e.projective=8965;e.prolongedkana=12540;e.propellor=8984;e.propersubset=8834;e.propersuperset=8835;e.propor\
+tion=8759;e.proportional=8733;e.psi=968;e.psicyrillic=1137;e.psilipneumatacyrilliccmb=1158;e.pssquare=13232;e.puhiragana=12407;e.pukatakana=12503;e.pvsquare=13236;e.pwsquare=13242;e.q=113;e.qadeva=2392;e.qadmahebrew=1448;e.qafarabic=1602;e.qaffinalarabic=65238;e.qafinitialarabic=65239;e.qafmedialarabic=65240;e.qamats=1464;e.qamats10=1464;e.qamats1a=1464;e.qamats1c=1464;e.qamats27=1464;e.qamats29=1464;e.qamats33=1464;e.qamatsde=1464;e.qamatshebrew=1464;e.qamatsnarrowhebrew=1464;e.qamatsqatanhebre\
+w=1464;e.qamatsqatannarrowhebrew=1464;e.qamatsqatanquarterhebrew=1464;e.qamatsqatanwidehebrew=1464;e.qamatsquarterhebrew=1464;e.qamatswidehebrew=1464;e.qarneyparahebrew=1439;e.qbopomofo=12561;e.qcircle=9440;e.qhook=672;e.qmonospace=65361;e.qof=1511;e.qofdagesh=64327;e.qofdageshhebrew=64327;e.qofhebrew=1511;e.qparen=9388;e.quarternote=9833;e.qubuts=1467;e.qubuts18=1467;e.qubuts25=1467;e.qubuts31=1467;e.qubutshebrew=1467;e.qubutsnarrowhebrew=1467;e.qubutsquarterhebrew=1467;e.qubutswidehebrew=1467;\
+e.question=63;e.questionarabic=1567;e.questionarmenian=1374;e.questiondown=191;e.questiondownsmall=63423;e.questiongreek=894;e.questionmonospace=65311;e.questionsmall=63295;e.quotedbl=34;e.quotedblbase=8222;e.quotedblleft=8220;e.quotedblmonospace=65282;e.quotedblprime=12318;e.quotedblprimereversed=12317;e.quotedblright=8221;e.quoteleft=8216;e.quoteleftreversed=8219;e.quotereversed=8219;e.quoteright=8217;e.quoterightn=329;e.quotesinglbase=8218;e.quotesingle=39;e.quotesinglemonospace=65287;e.r=114\
+;e.raarmenian=1404;e.rabengali=2480;e.racute=341;e.radeva=2352;e.radical=8730;e.radicalex=63717;e.radoverssquare=13230;e.radoverssquaredsquare=13231;e.radsquare=13229;e.rafe=1471;e.rafehebrew=1471;e.ragujarati=2736;e.ragurmukhi=2608;e.rahiragana=12425;e.rakatakana=12521;e.rakatakanahalfwidth=65431;e.ralowerdiagonalbengali=2545;e.ramiddlediagonalbengali=2544;e.ramshorn=612;e.ratio=8758;e.rbopomofo=12566;e.rcaron=345;e.rcedilla=343;e.rcircle=9441;e.rcommaaccent=343;e.rdblgrave=529;e.rdotaccent=776\
+9;e.rdotbelow=7771;e.rdotbelowmacron=7773;e.referencemark=8251;e.reflexsubset=8838;e.reflexsuperset=8839;e.registered=174;e.registersans=63720;e.registerserif=63194;e.reharabic=1585;e.reharmenian=1408;e.rehfinalarabic=65198;e.rehiragana=12428;e.rekatakana=12524;e.rekatakanahalfwidth=65434;e.resh=1512;e.reshdageshhebrew=64328;e.reshhebrew=1512;e.reversedtilde=8765;e.reviahebrew=1431;e.reviamugrashhebrew=1431;e.revlogicalnot=8976;e.rfishhook=638;e.rfishhookreversed=639;e.rhabengali=2525;e.rhadeva=\
+2397;e.rho=961;e.rhook=637;e.rhookturned=635;e.rhookturnedsuperior=693;e.rhosymbolgreek=1009;e.rhotichookmod=734;e.rieulacirclekorean=12913;e.rieulaparenkorean=12817;e.rieulcirclekorean=12899;e.rieulhieuhkorean=12608;e.rieulkiyeokkorean=12602;e.rieulkiyeoksioskorean=12649;e.rieulkorean=12601;e.rieulmieumkorean=12603;e.rieulpansioskorean=12652;e.rieulparenkorean=12803;e.rieulphieuphkorean=12607;e.rieulpieupkorean=12604;e.rieulpieupsioskorean=12651;e.rieulsioskorean=12605;e.rieulthieuthkorean=1260\
+6;e.rieultikeutkorean=12650;e.rieulyeorinhieuhkorean=12653;e.rightangle=8735;e.righttackbelowcmb=793;e.righttriangle=8895;e.rihiragana=12426;e.rikatakana=12522;e.rikatakanahalfwidth=65432;e.ring=730;e.ringbelowcmb=805;e.ringcmb=778;e.ringhalfleft=703;e.ringhalfleftarmenian=1369;e.ringhalfleftbelowcmb=796;e.ringhalfleftcentered=723;e.ringhalfright=702;e.ringhalfrightbelowcmb=825;e.ringhalfrightcentered=722;e.rinvertedbreve=531;e.rittorusquare=13137;e.rlinebelow=7775;e.rlongleg=636;e.rlonglegturne\
+d=634;e.rmonospace=65362;e.rohiragana=12429;e.rokatakana=12525;e.rokatakanahalfwidth=65435;e.roruathai=3619;e.rparen=9389;e.rrabengali=2524;e.rradeva=2353;e.rragurmukhi=2652;e.rreharabic=1681;e.rrehfinalarabic=64397;e.rrvocalicbengali=2528;e.rrvocalicdeva=2400;e.rrvocalicgujarati=2784;e.rrvocalicvowelsignbengali=2500;e.rrvocalicvowelsigndeva=2372;e.rrvocalicvowelsigngujarati=2756;e.rsuperior=63217;e.rtblock=9616;e.rturned=633;e.rturnedsuperior=692;e.ruhiragana=12427;e.rukatakana=12523;e.rukataka\
+nahalfwidth=65433;e.rupeemarkbengali=2546;e.rupeesignbengali=2547;e.rupiah=63197;e.ruthai=3620;e.rvocalicbengali=2443;e.rvocalicdeva=2315;e.rvocalicgujarati=2699;e.rvocalicvowelsignbengali=2499;e.rvocalicvowelsigndeva=2371;e.rvocalicvowelsigngujarati=2755;e.s=115;e.sabengali=2488;e.sacute=347;e.sacutedotaccent=7781;e.sadarabic=1589;e.sadeva=2360;e.sadfinalarabic=65210;e.sadinitialarabic=65211;e.sadmedialarabic=65212;e.sagujarati=2744;e.sagurmukhi=2616;e.sahiragana=12373;e.sakatakana=12469;e.saka\
+takanahalfwidth=65403;e.sallallahoualayhewasallamarabic=65018;e.samekh=1505;e.samekhdagesh=64321;e.samekhdageshhebrew=64321;e.samekhhebrew=1505;e.saraaathai=3634;e.saraaethai=3649;e.saraaimaimalaithai=3652;e.saraaimaimuanthai=3651;e.saraamthai=3635;e.saraathai=3632;e.saraethai=3648;e.saraiileftthai=63622;e.saraiithai=3637;e.saraileftthai=63621;e.saraithai=3636;e.saraothai=3650;e.saraueeleftthai=63624;e.saraueethai=3639;e.saraueleftthai=63623;e.sarauethai=3638;e.sarauthai=3640;e.sarauuthai=3641;e\
+.sbopomofo=12569;e.scaron=353;e.scarondotaccent=7783;e.scedilla=351;e.schwa=601;e.schwacyrillic=1241;e.schwadieresiscyrillic=1243;e.schwahook=602;e.scircle=9442;e.scircumflex=349;e.scommaaccent=537;e.sdotaccent=7777;e.sdotbelow=7779;e.sdotbelowdotaccent=7785;e.seagullbelowcmb=828;e.second=8243;e.secondtonechinese=714;e.section=167;e.seenarabic=1587;e.seenfinalarabic=65202;e.seeninitialarabic=65203;e.seenmedialarabic=65204;e.segol=1462;e.segol13=1462;e.segol1f=1462;e.segol2c=1462;e.segolhebrew=14\
+62;e.segolnarrowhebrew=1462;e.segolquarterhebrew=1462;e.segoltahebrew=1426;e.segolwidehebrew=1462;e.seharmenian=1405;e.sehiragana=12379;e.sekatakana=12475;e.sekatakanahalfwidth=65406;e.semicolon=59;e.semicolonarabic=1563;e.semicolonmonospace=65307;e.semicolonsmall=65108;e.semivoicedmarkkana=12444;e.semivoicedmarkkanahalfwidth=65439;e.sentisquare=13090;e.sentosquare=13091;e.seven=55;e.sevenarabic=1639;e.sevenbengali=2541;e.sevencircle=9318;e.sevencircleinversesansserif=10128;e.sevendeva=2413;e.se\
+veneighths=8542;e.sevengujarati=2797;e.sevengurmukhi=2669;e.sevenhackarabic=1639;e.sevenhangzhou=12327;e.sevenideographicparen=12838;e.seveninferior=8327;e.sevenmonospace=65303;e.sevenoldstyle=63287;e.sevenparen=9338;e.sevenperiod=9358;e.sevenpersian=1783;e.sevenroman=8566;e.sevensuperior=8311;e.seventeencircle=9328;e.seventeenparen=9348;e.seventeenperiod=9368;e.seventhai=3671;e.sfthyphen=173;e.shaarmenian=1399;e.shabengali=2486;e.shacyrillic=1096;e.shaddaarabic=1617;e.shaddadammaarabic=64609;e.\
+shaddadammatanarabic=64606;e.shaddafathaarabic=64608;e.shaddakasraarabic=64610;e.shaddakasratanarabic=64607;e.shade=9618;e.shadedark=9619;e.shadelight=9617;e.shademedium=9618;e.shadeva=2358;e.shagujarati=2742;e.shagurmukhi=2614;e.shalshelethebrew=1427;e.shbopomofo=12565;e.shchacyrillic=1097;e.sheenarabic=1588;e.sheenfinalarabic=65206;e.sheeninitialarabic=65207;e.sheenmedialarabic=65208;e.sheicoptic=995;e.sheqel=8362;e.sheqelhebrew=8362;e.sheva=1456;e.sheva115=1456;e.sheva15=1456;e.sheva22=1456;e\
+.sheva2e=1456;e.shevahebrew=1456;e.shevanarrowhebrew=1456;e.shevaquarterhebrew=1456;e.shevawidehebrew=1456;e.shhacyrillic=1211;e.shimacoptic=1005;e.shin=1513;e.shindagesh=64329;e.shindageshhebrew=64329;e.shindageshshindot=64300;e.shindageshshindothebrew=64300;e.shindageshsindot=64301;e.shindageshsindothebrew=64301;e.shindothebrew=1473;e.shinhebrew=1513;e.shinshindot=64298;e.shinshindothebrew=64298;e.shinsindot=64299;e.shinsindothebrew=64299;e.shook=642;e.sigma=963;e.sigma1=962;e.sigmafinal=962;e\
+.sigmalunatesymbolgreek=1010;e.sihiragana=12375;e.sikatakana=12471;e.sikatakanahalfwidth=65404;e.siluqhebrew=1469;e.siluqlefthebrew=1469;e.similar=8764;e.sindothebrew=1474;e.siosacirclekorean=12916;e.siosaparenkorean=12820;e.sioscieuckorean=12670;e.sioscirclekorean=12902;e.sioskiyeokkorean=12666;e.sioskorean=12613;e.siosnieunkorean=12667;e.siosparenkorean=12806;e.siospieupkorean=12669;e.siostikeutkorean=12668;e.six=54;e.sixarabic=1638;e.sixbengali=2540;e.sixcircle=9317;e.sixcircleinversesansseri\
+f=10127;e.sixdeva=2412;e.sixgujarati=2796;e.sixgurmukhi=2668;e.sixhackarabic=1638;e.sixhangzhou=12326;e.sixideographicparen=12837;e.sixinferior=8326;e.sixmonospace=65302;e.sixoldstyle=63286;e.sixparen=9337;e.sixperiod=9357;e.sixpersian=1782;e.sixroman=8565;e.sixsuperior=8310;e.sixteencircle=9327;e.sixteencurrencydenominatorbengali=2553;e.sixteenparen=9347;e.sixteenperiod=9367;e.sixthai=3670;e.slash=47;e.slashmonospace=65295;e.slong=383;e.slongdotaccent=7835;e.smileface=9786;e.smonospace=65363;e.\
+sofpasuqhebrew=1475;e.softhyphen=173;e.softsigncyrillic=1100;e.sohiragana=12381;e.sokatakana=12477;e.sokatakanahalfwidth=65407;e.soliduslongoverlaycmb=824;e.solidusshortoverlaycmb=823;e.sorusithai=3625;e.sosalathai=3624;e.sosothai=3595;e.sosuathai=3626;e.space=32;e.spacehackarabic=32;e.spade=9824;e.spadesuitblack=9824;e.spadesuitwhite=9828;e.sparen=9390;e.squarebelowcmb=827;e.squarecc=13252;e.squarecm=13213;e.squarediagonalcrosshatchfill=9641;e.squarehorizontalfill=9636;e.squarekg=13199;e.square\
+km=13214;e.squarekmcapital=13262;e.squareln=13265;e.squarelog=13266;e.squaremg=13198;e.squaremil=13269;e.squaremm=13212;e.squaremsquared=13217;e.squareorthogonalcrosshatchfill=9638;e.squareupperlefttolowerrightfill=9639;e.squareupperrighttolowerleftfill=9640;e.squareverticalfill=9637;e.squarewhitewithsmallblack=9635;e.srsquare=13275;e.ssabengali=2487;e.ssadeva=2359;e.ssagujarati=2743;e.ssangcieuckorean=12617;e.ssanghieuhkorean=12677;e.ssangieungkorean=12672;e.ssangkiyeokkorean=12594;e.ssangnieun\
+korean=12645;e.ssangpieupkorean=12611;e.ssangsioskorean=12614;e.ssangtikeutkorean=12600;e.ssuperior=63218;e.sterling=163;e.sterlingmonospace=65505;e.strokelongoverlaycmb=822;e.strokeshortoverlaycmb=821;e.subset=8834;e.subsetnotequal=8842;e.subsetorequal=8838;e.succeeds=8827;e.suchthat=8715;e.suhiragana=12377;e.sukatakana=12473;e.sukatakanahalfwidth=65405;e.sukunarabic=1618;e.summation=8721;e.sun=9788;e.superset=8835;e.supersetnotequal=8843;e.supersetorequal=8839;e.svsquare=13276;e.syouwaerasquar\
+e=13180;e.t=116;e.tabengali=2468;e.tackdown=8868;e.tackleft=8867;e.tadeva=2340;e.tagujarati=2724;e.tagurmukhi=2596;e.taharabic=1591;e.tahfinalarabic=65218;e.tahinitialarabic=65219;e.tahiragana=12383;e.tahmedialarabic=65220;e.taisyouerasquare=13181;e.takatakana=12479;e.takatakanahalfwidth=65408;e.tatweelarabic=1600;e.tau=964;e.tav=1514;e.tavdages=64330;e.tavdagesh=64330;e.tavdageshhebrew=64330;e.tavhebrew=1514;e.tbar=359;e.tbopomofo=12554;e.tcaron=357;e.tccurl=680;e.tcedilla=355;e.tcheharabic=167\
+0;e.tchehfinalarabic=64379;e.tchehinitialarabic=64380;e.tchehmedialarabic=64381;e.tcircle=9443;e.tcircumflexbelow=7793;e.tcommaaccent=355;e.tdieresis=7831;e.tdotaccent=7787;e.tdotbelow=7789;e.tecyrillic=1090;e.tedescendercyrillic=1197;e.teharabic=1578;e.tehfinalarabic=65174;e.tehhahinitialarabic=64674;e.tehhahisolatedarabic=64524;e.tehinitialarabic=65175;e.tehiragana=12390;e.tehjeeminitialarabic=64673;e.tehjeemisolatedarabic=64523;e.tehmarbutaarabic=1577;e.tehmarbutafinalarabic=65172;e.tehmedial\
+arabic=65176;e.tehmeeminitialarabic=64676;e.tehmeemisolatedarabic=64526;e.tehnoonfinalarabic=64627;e.tekatakana=12486;e.tekatakanahalfwidth=65411;e.telephone=8481;e.telephoneblack=9742;e.telishagedolahebrew=1440;e.telishaqetanahebrew=1449;e.tencircle=9321;e.tenideographicparen=12841;e.tenparen=9341;e.tenperiod=9361;e.tenroman=8569;e.tesh=679;e.tet=1496;e.tetdagesh=64312;e.tetdageshhebrew=64312;e.tethebrew=1496;e.tetsecyrillic=1205;e.tevirhebrew=1435;e.tevirlefthebrew=1435;e.thabengali=2469;e.tha\
+deva=2341;e.thagujarati=2725;e.thagurmukhi=2597;e.thalarabic=1584;e.thalfinalarabic=65196;e.thanthakhatlowleftthai=63640;e.thanthakhatlowrightthai=63639;e.thanthakhatthai=3660;e.thanthakhatupperleftthai=63638;e.theharabic=1579;e.thehfinalarabic=65178;e.thehinitialarabic=65179;e.thehmedialarabic=65180;e.thereexists=8707;e.therefore=8756;e.theta=952;e.theta1=977;e.thetasymbolgreek=977;e.thieuthacirclekorean=12921;e.thieuthaparenkorean=12825;e.thieuthcirclekorean=12907;e.thieuthkorean=12620;e.thieu\
+thparenkorean=12811;e.thirteencircle=9324;e.thirteenparen=9344;e.thirteenperiod=9364;e.thonangmonthothai=3601;e.thook=429;e.thophuthaothai=3602;e.thorn=254;e.thothahanthai=3607;e.thothanthai=3600;e.thothongthai=3608;e.thothungthai=3606;e.thousandcyrillic=1154;e.thousandsseparatorarabic=1644;e.thousandsseparatorpersian=1644;e.three=51;e.threearabic=1635;e.threebengali=2537;e.threecircle=9314;e.threecircleinversesansserif=10124;e.threedeva=2409;e.threeeighths=8540;e.threegujarati=2793;e.threegurmu\
+khi=2665;e.threehackarabic=1635;e.threehangzhou=12323;e.threeideographicparen=12834;e.threeinferior=8323;e.threemonospace=65299;e.threenumeratorbengali=2550;e.threeoldstyle=63283;e.threeparen=9334;e.threeperiod=9354;e.threepersian=1779;e.threequarters=190;e.threequartersemdash=63198;e.threeroman=8562;e.threesuperior=179;e.threethai=3667;e.thzsquare=13204;e.tihiragana=12385;e.tikatakana=12481;e.tikatakanahalfwidth=65409;e.tikeutacirclekorean=12912;e.tikeutaparenkorean=12816;e.tikeutcirclekorean=1\
+2898;e.tikeutkorean=12599;e.tikeutparenkorean=12802;e.tilde=732;e.tildebelowcmb=816;e.tildecmb=771;e.tildecomb=771;e.tildedoublecmb=864;e.tildeoperator=8764;e.tildeoverlaycmb=820;e.tildeverticalcmb=830;e.timescircle=8855;e.tipehahebrew=1430;e.tipehalefthebrew=1430;e.tippigurmukhi=2672;e.titlocyrilliccmb=1155;e.tiwnarmenian=1407;e.tlinebelow=7791;e.tmonospace=65364;e.toarmenian=1385;e.tohiragana=12392;e.tokatakana=12488;e.tokatakanahalfwidth=65412;e.tonebarextrahighmod=741;e.tonebarextralowmod=74\
+5;e.tonebarhighmod=742;e.tonebarlowmod=744;e.tonebarmidmod=743;e.tonefive=445;e.tonesix=389;e.tonetwo=424;e.tonos=900;e.tonsquare=13095;e.topatakthai=3599;e.tortoiseshellbracketleft=12308;e.tortoiseshellbracketleftsmall=65117;e.tortoiseshellbracketleftvertical=65081;e.tortoiseshellbracketright=12309;e.tortoiseshellbracketrightsmall=65118;e.tortoiseshellbracketrightvertical=65082;e.totaothai=3605;e.tpalatalhook=427;e.tparen=9391;e.trademark=8482;e.trademarksans=63722;e.trademarkserif=63195;e.tret\
+roflexhook=648;e.triagdn=9660;e.triaglf=9668;e.triagrt=9658;e.triagup=9650;e.ts=678;e.tsadi=1510;e.tsadidagesh=64326;e.tsadidageshhebrew=64326;e.tsadihebrew=1510;e.tsecyrillic=1094;e.tsere=1461;e.tsere12=1461;e.tsere1e=1461;e.tsere2b=1461;e.tserehebrew=1461;e.tserenarrowhebrew=1461;e.tserequarterhebrew=1461;e.tserewidehebrew=1461;e.tshecyrillic=1115;e.tsuperior=63219;e.ttabengali=2463;e.ttadeva=2335;e.ttagujarati=2719;e.ttagurmukhi=2591;e.tteharabic=1657;e.ttehfinalarabic=64359;e.ttehinitialarab\
+ic=64360;e.ttehmedialarabic=64361;e.tthabengali=2464;e.tthadeva=2336;e.tthagujarati=2720;e.tthagurmukhi=2592;e.tturned=647;e.tuhiragana=12388;e.tukatakana=12484;e.tukatakanahalfwidth=65410;e.tusmallhiragana=12387;e.tusmallkatakana=12483;e.tusmallkatakanahalfwidth=65391;e.twelvecircle=9323;e.twelveparen=9343;e.twelveperiod=9363;e.twelveroman=8571;e.twentycircle=9331;e.twentyhangzhou=21316;e.twentyparen=9351;e.twentyperiod=9371;e.two=50;e.twoarabic=1634;e.twobengali=2536;e.twocircle=9313;e.twocirc\
+leinversesansserif=10123;e.twodeva=2408;e.twodotenleader=8229;e.twodotleader=8229;e.twodotleadervertical=65072;e.twogujarati=2792;e.twogurmukhi=2664;e.twohackarabic=1634;e.twohangzhou=12322;e.twoideographicparen=12833;e.twoinferior=8322;e.twomonospace=65298;e.twonumeratorbengali=2549;e.twooldstyle=63282;e.twoparen=9333;e.twoperiod=9353;e.twopersian=1778;e.tworoman=8561;e.twostroke=443;e.twosuperior=178;e.twothai=3666;e.twothirds=8532;e.u=117;e.uacute=250;e.ubar=649;e.ubengali=2441;e.ubopomofo=12\
+584;e.ubreve=365;e.ucaron=468;e.ucircle=9444;e.ucircumflex=251;e.ucircumflexbelow=7799;e.ucyrillic=1091;e.udattadeva=2385;e.udblacute=369;e.udblgrave=533;e.udeva=2313;e.udieresis=252;e.udieresisacute=472;e.udieresisbelow=7795;e.udieresiscaron=474;e.udieresiscyrillic=1265;e.udieresisgrave=476;e.udieresismacron=470;e.udotbelow=7909;e.ugrave=249;e.ugujarati=2697;e.ugurmukhi=2569;e.uhiragana=12358;e.uhookabove=7911;e.uhorn=432;e.uhornacute=7913;e.uhorndotbelow=7921;e.uhorngrave=7915;e.uhornhookabove\
+=7917;e.uhorntilde=7919;e.uhungarumlaut=369;e.uhungarumlautcyrillic=1267;e.uinvertedbreve=535;e.ukatakana=12454;e.ukatakanahalfwidth=65395;e.ukcyrillic=1145;e.ukorean=12636;e.umacron=363;e.umacroncyrillic=1263;e.umacrondieresis=7803;e.umatragurmukhi=2625;e.umonospace=65365;e.underscore=95;e.underscoredbl=8215;e.underscoremonospace=65343;e.underscorevertical=65075;e.underscorewavy=65103;e.union=8746;e.universal=8704;e.uogonek=371;e.uparen=9392;e.upblock=9600;e.upperdothebrew=1476;e.upsilon=965;e.\
+upsilondieresis=971;e.upsilondieresistonos=944;e.upsilonlatin=650;e.upsilontonos=973;e.uptackbelowcmb=797;e.uptackmod=724;e.uragurmukhi=2675;e.uring=367;e.ushortcyrillic=1118;e.usmallhiragana=12357;e.usmallkatakana=12453;e.usmallkatakanahalfwidth=65385;e.ustraightcyrillic=1199;e.ustraightstrokecyrillic=1201;e.utilde=361;e.utildeacute=7801;e.utildebelow=7797;e.uubengali=2442;e.uudeva=2314;e.uugujarati=2698;e.uugurmukhi=2570;e.uumatragurmukhi=2626;e.uuvowelsignbengali=2498;e.uuvowelsigndeva=2370;e\
+.uuvowelsigngujarati=2754;e.uvowelsignbengali=2497;e.uvowelsigndeva=2369;e.uvowelsigngujarati=2753;e.v=118;e.vadeva=2357;e.vagujarati=2741;e.vagurmukhi=2613;e.vakatakana=12535;e.vav=1493;e.vavdagesh=64309;e.vavdagesh65=64309;e.vavdageshhebrew=64309;e.vavhebrew=1493;e.vavholam=64331;e.vavholamhebrew=64331;e.vavvavhebrew=1520;e.vavyodhebrew=1521;e.vcircle=9445;e.vdotbelow=7807;e.vecyrillic=1074;e.veharabic=1700;e.vehfinalarabic=64363;e.vehinitialarabic=64364;e.vehmedialarabic=64365;e.vekatakana=12\
+537;e.venus=9792;e.verticalbar=124;e.verticallineabovecmb=781;e.verticallinebelowcmb=809;e.verticallinelowmod=716;e.verticallinemod=712;e.vewarmenian=1406;e.vhook=651;e.vikatakana=12536;e.viramabengali=2509;e.viramadeva=2381;e.viramagujarati=2765;e.visargabengali=2435;e.visargadeva=2307;e.visargagujarati=2691;e.vmonospace=65366;e.voarmenian=1400;e.voicediterationhiragana=12446;e.voicediterationkatakana=12542;e.voicedmarkkana=12443;e.voicedmarkkanahalfwidth=65438;e.vokatakana=12538;e.vparen=9393;\
+e.vtilde=7805;e.vturned=652;e.vuhiragana=12436;e.vukatakana=12532;e.w=119;e.wacute=7811;e.waekorean=12633;e.wahiragana=12431;e.wakatakana=12527;e.wakatakanahalfwidth=65436;e.wakorean=12632;e.wasmallhiragana=12430;e.wasmallkatakana=12526;e.wattosquare=13143;e.wavedash=12316;e.wavyunderscorevertical=65076;e.wawarabic=1608;e.wawfinalarabic=65262;e.wawhamzaabovearabic=1572;e.wawhamzaabovefinalarabic=65158;e.wbsquare=13277;e.wcircle=9446;e.wcircumflex=373;e.wdieresis=7813;e.wdotaccent=7815;e.wdotbelo\
+w=7817;e.wehiragana=12433;e.weierstrass=8472;e.wekatakana=12529;e.wekorean=12638;e.weokorean=12637;e.wgrave=7809;e.whitebullet=9702;e.whitecircle=9675;e.whitecircleinverse=9689;e.whitecornerbracketleft=12302;e.whitecornerbracketleftvertical=65091;e.whitecornerbracketright=12303;e.whitecornerbracketrightvertical=65092;e.whitediamond=9671;e.whitediamondcontainingblacksmalldiamond=9672;e.whitedownpointingsmalltriangle=9663;e.whitedownpointingtriangle=9661;e.whiteleftpointingsmalltriangle=9667;e.whi\
+teleftpointingtriangle=9665;e.whitelenticularbracketleft=12310;e.whitelenticularbracketright=12311;e.whiterightpointingsmalltriangle=9657;e.whiterightpointingtriangle=9655;e.whitesmallsquare=9643;e.whitesmilingface=9786;e.whitesquare=9633;e.whitestar=9734;e.whitetelephone=9743;e.whitetortoiseshellbracketleft=12312;e.whitetortoiseshellbracketright=12313;e.whiteuppointingsmalltriangle=9653;e.whiteuppointingtriangle=9651;e.wihiragana=12432;e.wikatakana=12528;e.wikorean=12639;e.wmonospace=65367;e.wo\
+hiragana=12434;e.wokatakana=12530;e.wokatakanahalfwidth=65382;e.won=8361;e.wonmonospace=65510;e.wowaenthai=3623;e.wparen=9394;e.wring=7832;e.wsuperior=695;e.wturned=653;e.wynn=447;e.x=120;e.xabovecmb=829;e.xbopomofo=12562;e.xcircle=9447;e.xdieresis=7821;e.xdotaccent=7819;e.xeharmenian=1389;e.xi=958;e.xmonospace=65368;e.xparen=9395;e.xsuperior=739;e.y=121;e.yaadosquare=13134;e.yabengali=2479;e.yacute=253;e.yadeva=2351;e.yaekorean=12626;e.yagujarati=2735;e.yagurmukhi=2607;e.yahiragana=12420;e.yaka\
+takana=12516;e.yakatakanahalfwidth=65428;e.yakorean=12625;e.yamakkanthai=3662;e.yasmallhiragana=12419;e.yasmallkatakana=12515;e.yasmallkatakanahalfwidth=65388;e.yatcyrillic=1123;e.ycircle=9448;e.ycircumflex=375;e.ydieresis=255;e.ydotaccent=7823;e.ydotbelow=7925;e.yeharabic=1610;e.yehbarreearabic=1746;e.yehbarreefinalarabic=64431;e.yehfinalarabic=65266;e.yehhamzaabovearabic=1574;e.yehhamzaabovefinalarabic=65162;e.yehhamzaaboveinitialarabic=65163;e.yehhamzaabovemedialarabic=65164;e.yehinitialarabi\
+c=65267;e.yehmedialarabic=65268;e.yehmeeminitialarabic=64733;e.yehmeemisolatedarabic=64600;e.yehnoonfinalarabic=64660;e.yehthreedotsbelowarabic=1745;e.yekorean=12630;e.yen=165;e.yenmonospace=65509;e.yeokorean=12629;e.yeorinhieuhkorean=12678;e.yerahbenyomohebrew=1450;e.yerahbenyomolefthebrew=1450;e.yericyrillic=1099;e.yerudieresiscyrillic=1273;e.yesieungkorean=12673;e.yesieungpansioskorean=12675;e.yesieungsioskorean=12674;e.yetivhebrew=1434;e.ygrave=7923;e.yhook=436;e.yhookabove=7927;e.yiarmenian\
+=1397;e.yicyrillic=1111;e.yikorean=12642;e.yinyang=9775;e.yiwnarmenian=1410;e.ymonospace=65369;e.yod=1497;e.yoddagesh=64313;e.yoddageshhebrew=64313;e.yodhebrew=1497;e.yodyodhebrew=1522;e.yodyodpatahhebrew=64287;e.yohiragana=12424;e.yoikorean=12681;e.yokatakana=12520;e.yokatakanahalfwidth=65430;e.yokorean=12635;e.yosmallhiragana=12423;e.yosmallkatakana=12519;e.yosmallkatakanahalfwidth=65390;e.yotgreek=1011;e.yoyaekorean=12680;e.yoyakorean=12679;e.yoyakthai=3618;e.yoyingthai=3597;e.yparen=9396;e.y\
+pogegrammeni=890;e.ypogegrammenigreekcmb=837;e.yr=422;e.yring=7833;e.ysuperior=696;e.ytilde=7929;e.yturned=654;e.yuhiragana=12422;e.yuikorean=12684;e.yukatakana=12518;e.yukatakanahalfwidth=65429;e.yukorean=12640;e.yusbigcyrillic=1131;e.yusbigiotifiedcyrillic=1133;e.yuslittlecyrillic=1127;e.yuslittleiotifiedcyrillic=1129;e.yusmallhiragana=12421;e.yusmallkatakana=12517;e.yusmallkatakanahalfwidth=65389;e.yuyekorean=12683;e.yuyeokorean=12682;e.yyabengali=2527;e.yyadeva=2399;e.z=122;e.zaarmenian=1382\
+;e.zacute=378;e.zadeva=2395;e.zagurmukhi=2651;e.zaharabic=1592;e.zahfinalarabic=65222;e.zahinitialarabic=65223;e.zahiragana=12374;e.zahmedialarabic=65224;e.zainarabic=1586;e.zainfinalarabic=65200;e.zakatakana=12470;e.zaqefgadolhebrew=1429;e.zaqefqatanhebrew=1428;e.zarqahebrew=1432;e.zayin=1494;e.zayindagesh=64310;e.zayindageshhebrew=64310;e.zayinhebrew=1494;e.zbopomofo=12567;e.zcaron=382;e.zcircle=9449;e.zcircumflex=7825;e.zcurl=657;e.zdot=380;e.zdotaccent=380;e.zdotbelow=7827;e.zecyrillic=1079;\
+e.zedescendercyrillic=1177;e.zedieresiscyrillic=1247;e.zehiragana=12380;e.zekatakana=12476;e.zero=48;e.zeroarabic=1632;e.zerobengali=2534;e.zerodeva=2406;e.zerogujarati=2790;e.zerogurmukhi=2662;e.zerohackarabic=1632;e.zeroinferior=8320;e.zeromonospace=65296;e.zerooldstyle=63280;e.zeropersian=1776;e.zerosuperior=8304;e.zerothai=3664;e.zerowidthjoiner=65279;e.zerowidthnonjoiner=8204;e.zerowidthspace=8203;e.zeta=950;e.zhbopomofo=12563;e.zhearmenian=1386;e.zhebrevecyrillic=1218;e.zhecyrillic=1078;e.\
+zhedescendercyrillic=1175;e.zhedieresiscyrillic=1245;e.zihiragana=12376;e.zikatakana=12472;e.zinorhebrew=1454;e.zlinebelow=7829;e.zmonospace=65370;e.zohiragana=12382;e.zokatakana=12478;e.zparen=9397;e.zretroflexhook=656;e.zstroke=438;e.zuhiragana=12378;e.zukatakana=12474;e[".notdef"]=0;e.angbracketleftbig=9001;e.angbracketleftBig=9001;e.angbracketleftbigg=9001;e.angbracketleftBigg=9001;e.angbracketrightBig=9002;e.angbracketrightbig=9002;e.angbracketrightBigg=9002;e.angbracketrightbigg=9002;e.arr\
+owhookleft=8618;e.arrowhookright=8617;e.arrowlefttophalf=8636;e.arrowleftbothalf=8637;e.arrownortheast=8599;e.arrownorthwest=8598;e.arrowrighttophalf=8640;e.arrowrightbothalf=8641;e.arrowsoutheast=8600;e.arrowsouthwest=8601;e.backslashbig=8726;e.backslashBig=8726;e.backslashBigg=8726;e.backslashbigg=8726;e.bardbl=8214;e.bracehtipdownleft=65079;e.bracehtipdownright=65079;e.bracehtipupleft=65080;e.bracehtipupright=65080;e.braceleftBig=123;e.braceleftbig=123;e.braceleftbigg=123;e.braceleftBigg=123;\
+e.bracerightBig=125;e.bracerightbig=125;e.bracerightbigg=125;e.bracerightBigg=125;e.bracketleftbig=91;e.bracketleftBig=91;e.bracketleftbigg=91;e.bracketleftBigg=91;e.bracketrightBig=93;e.bracketrightbig=93;e.bracketrightbigg=93;e.bracketrightBigg=93;e.ceilingleftbig=8968;e.ceilingleftBig=8968;e.ceilingleftBigg=8968;e.ceilingleftbigg=8968;e.ceilingrightbig=8969;e.ceilingrightBig=8969;e.ceilingrightbigg=8969;e.ceilingrightBigg=8969;e.circledotdisplay=8857;e.circledottext=8857;e.circlemultiplydispl\
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+,"braceleft","bar","braceright","asciitilde","Adieresis","Aring","Ccedilla","Eacute","Ntilde","Odieresis","Udieresis","aacute","agrave","acircumflex","adieresis","atilde","aring","ccedilla","eacute","egrave","ecircumflex","edieresis","iacute","igrave","icircumflex","idieresis","ntilde","oacute","ograve","ocircumflex","odieresis","otilde","uacute","ugrave","ucircumflex","udieresis","dagger","degree","cent","sterling","section","bullet","paragraph","germandbls","registered","copyright","trademark"\
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+=Object.create(null);let i,n,s;const o=!!(e.flags&Pr);if(e.isInternalFont){s=t;for(n=0;n<s.length;n++){i=a.indexOf(s[n]);r[n]=i>=0?i:0}}else if(e.baseEncodingName){s=getEncoding(e.baseEncodingName);for(n=0;n<s.length;n++){i=a.indexOf(s[n]);r[n]=i>=0?i:0}}else if(o)for(n in t)r[n]=t[n];else{s=Ar;for(n=0;n<s.length;n++){i=a.indexOf(s[n]);r[n]=i>=0?i:0}}const c=e.differences;let l;if(c)for(n in c){const e=c[n];i=a.indexOf(e);if(-1===i){l||(l=Fr());const t=recoverGlyphName(e,l);t!==e&&(i=a.indexOf(t\
+))}r[n]=i>=0?i:0}return r}function normalizeFontName(e){return e.replaceAll(/[,_]/g,"-").replaceAll(/\\s/g,"")}const _r=getLookupTableFactory((e=>{e[8211]=65074;e[8212]=65073;e[8229]=65072;e[8230]=65049;e[12289]=65041;e[12290]=65042;e[12296]=65087;e[12297]=65088;e[12298]=65085;e[12299]=65086;e[12300]=65089;e[12301]=65090;e[12302]=65091;e[12303]=65092;e[12304]=65083;e[12305]=65084;e[12308]=65081;e[12309]=65082;e[12310]=65047;e[12311]=65048;e[65103]=65076;e[65281]=65045;e[65288]=65077;e[65289]=6507\
+8;e[65292]=65040;e[65306]=65043;e[65307]=65044;e[65311]=65046;e[65339]=65095;e[65341]=65096;e[65343]=65075;e[65371]=65079;e[65373]=65080}));const Ur=[".notdef","space","exclam","quotedbl","numbersign","dollar","percent","ampersand","quoteright","parenleft","parenright","asterisk","plus","comma","hyphen","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","at","A","B","C","D","E","F","G","H","I","J","K","L"\
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+","fiveinferior","sixinferior","seveninferior","eightinferior","nineinferior","centinferior","dollarinferior","periodinferior","commainferior"],Hr=[".notdef","space","exclam","quotedbl","numbersign","dollar","percent","ampersand","quoteright","parenleft","parenright","asterisk","plus","comma","hyphen","period","slash","zero","one","two","three","four","five","six","seven","eight","nine","colon","semicolon","less","equal","greater","question","at","A","B","C","D","E","F","G","H","I","J","K","L","\
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+sis","egrave","iacute","icircumflex","idieresis","igrave","ntilde","oacute","ocircumflex","odieresis","ograve","otilde","scaron","uacute","ucircumflex","udieresis","ugrave","yacute","ydieresis","zcaron","exclamsmall","Hungarumlautsmall","dollaroldstyle","dollarsuperior","ampersandsmall","Acutesmall","parenleftsuperior","parenrightsuperior","twodotenleader","onedotenleader","zerooldstyle","oneoldstyle","twooldstyle","threeoldstyle","fouroldstyle","fiveoldstyle","sixoldstyle","sevenoldstyle","eigh\
+toldstyle","nineoldstyle","commasuperior","threequartersemdash","periodsuperior","questionsmall","asuperior","bsuperior","centsuperior","dsuperior","esuperior","isuperior","lsuperior","msuperior","nsuperior","osuperior","rsuperior","ssuperior","tsuperior","ff","ffi","ffl","parenleftinferior","parenrightinferior","Circumflexsmall","hyphensuperior","Gravesmall","Asmall","Bsmall","Csmall","Dsmall","Esmall","Fsmall","Gsmall","Hsmall","Ismall","Jsmall","Ksmall","Lsmall","Msmall","Nsmall","Osmall","Ps\
+mall","Qsmall","Rsmall","Ssmall","Tsmall","Usmall","Vsmall","Wsmall","Xsmall","Ysmall","Zsmall","colonmonetary","onefitted","rupiah","Tildesmall","exclamdownsmall","centoldstyle","Lslashsmall","Scaronsmall","Zcaronsmall","Dieresissmall","Brevesmall","Caronsmall","Dotaccentsmall","Macronsmall","figuredash","hypheninferior","Ogoneksmall","Ringsmall","Cedillasmall","questiondownsmall","oneeighth","threeeighths","fiveeighths","seveneighths","onethird","twothirds","zerosuperior","foursuperior","fives\
+uperior","sixsuperior","sevensuperior","eightsuperior","ninesuperior","zeroinferior","oneinferior","twoinferior","threeinferior","fourinferior","fiveinferior","sixinferior","seveninferior","eightinferior","nineinferior","centinferior","dollarinferior","periodinferior","commainferior","Agravesmall","Aacutesmall","Acircumflexsmall","Atildesmall","Adieresissmall","Aringsmall","AEsmall","Ccedillasmall","Egravesmall","Eacutesmall","Ecircumflexsmall","Edieresissmall","Igravesmall","Iacutesmall","Icirc\
+umflexsmall","Idieresissmall","Ethsmall","Ntildesmall","Ogravesmall","Oacutesmall","Ocircumflexsmall","Otildesmall","Odieresissmall","OEsmall","Oslashsmall","Ugravesmall","Uacutesmall","Ucircumflexsmall","Udieresissmall","Yacutesmall","Thornsmall","Ydieresissmall","001.000","001.001","001.002","001.003","Black","Bold","Book","Light","Medium","Regular","Roman","Semibold"],Wr=391,zr=[null,{id:"hstem",min:2,stackClearing:!0,stem:!0},null,{id:"vstem",min:2,stackClearing:!0,stem:!0},{id:"vmoveto",min\
+:1,stackClearing:!0},{id:"rlineto",min:2,resetStack:!0},{id:"hlineto",min:1,resetStack:!0},{id:"vlineto",min:1,resetStack:!0},{id:"rrcurveto",min:6,resetStack:!0},null,{id:"callsubr",min:1,undefStack:!0},{id:"return",min:0,undefStack:!0},null,null,{id:"endchar",min:0,stackClearing:!0},null,null,null,{id:"hstemhm",min:2,stackClearing:!0,stem:!0},{id:"hintmask",min:0,stackClearing:!0},{id:"cntrmask",min:0,stackClearing:!0},{id:"rmoveto",min:2,stackClearing:!0},{id:"hmoveto",min:1,stackClearing:!0}\
+,{id:"vstemhm",min:2,stackClearing:!0,stem:!0},{id:"rcurveline",min:8,resetStack:!0},{id:"rlinecurve",min:8,resetStack:!0},{id:"vvcurveto",min:4,resetStack:!0},{id:"hhcurveto",min:4,resetStack:!0},null,{id:"callgsubr",min:1,undefStack:!0},{id:"vhcurveto",min:4,resetStack:!0},{id:"hvcurveto",min:4,resetStack:!0}],$r=[null,null,null,{id:"and",min:2,stackDelta:-1},{id:"or",min:2,stackDelta:-1},{id:"not",min:1,stackDelta:0},null,null,null,{id:"abs",min:1,stackDelta:0},{id:"add",min:2,stackDelta:-1,s\
+tackFn(e,t){e[t-2]=e[t-2]+e[t-1]}},{id:"sub",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]-e[t-1]}},{id:"div",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]/e[t-1]}},null,{id:"neg",min:1,stackDelta:0,stackFn(e,t){e[t-1]=-e[t-1]}},{id:"eq",min:2,stackDelta:-1},null,null,{id:"drop",min:1,stackDelta:-1},null,{id:"put",min:2,stackDelta:-2},{id:"get",min:1,stackDelta:0},{id:"ifelse",min:4,stackDelta:-3},{id:"random",min:0,stackDelta:1},{id:"mul",min:2,stackDelta:-1,stackFn(e,t){e[t-2]=e[t-2]*e[t-1]}\
+},null,{id:"sqrt",min:1,stackDelta:0},{id:"dup",min:1,stackDelta:1},{id:"exch",min:2,stackDelta:0},{id:"index",min:2,stackDelta:0},{id:"roll",min:3,stackDelta:-2},null,null,null,{id:"hflex",min:7,resetStack:!0},{id:"flex",min:13,resetStack:!0},{id:"hflex1",min:9,resetStack:!0},{id:"flex1",min:11,resetStack:!0}];class CFFParser{constructor(e,t,a){this.bytes=e.getBytes();this.properties=t;this.seacAnalysisEnabled=!!a}parse(){const e=this.properties,t=new CFF;this.cff=t;const a=this.parseHeader(),r\
+=this.parseIndex(a.endPos),i=this.parseIndex(r.endPos),n=this.parseIndex(i.endPos),s=this.parseIndex(n.endPos),o=this.parseDict(i.obj.get(0)),c=this.createDict(CFFTopDict,o,t.strings);t.header=a.obj;t.names=this.parseNameIndex(r.obj);t.strings=this.parseStringIndex(n.obj);t.topDict=c;t.globalSubrIndex=s.obj;this.parsePrivateDict(t.topDict);t.isCIDFont=c.hasName("ROS");const l=c.getByName("CharStrings"),h=this.parseIndex(l).obj,u=c.getByName("FontMatrix");u&&(e.fontMatrix=u);const d=c.getByName("\
+FontBBox");if(d){e.ascent=Math.max(d[3],d[1]);e.descent=Math.min(d[1],d[3]);e.ascentScaled=!0}let f,g;if(t.isCIDFont){const e=this.parseIndex(c.getByName("FDArray")).obj;for(let a=0,r=e.count;a<r;++a){const r=e.get(a),i=this.createDict(CFFTopDict,this.parseDict(r),t.strings);this.parsePrivateDict(i);t.fdArray.push(i)}g=null;f=this.parseCharsets(c.getByName("charset"),h.count,t.strings,!0);t.fdSelect=this.parseFDSelect(c.getByName("FDSelect"),h.count)}else{f=this.parseCharsets(c.getByName("charse\
+t"),h.count,t.strings,!1);g=this.parseEncoding(c.getByName("Encoding"),e,t.strings,f.charset)}t.charset=f;t.encoding=g;const p=this.parseCharStrings({charStrings:h,localSubrIndex:c.privateDict.subrsIndex,globalSubrIndex:s.obj,fdSelect:t.fdSelect,fdArray:t.fdArray,privateDict:c.privateDict});t.charStrings=p.charStrings;t.seacs=p.seacs;t.widths=p.widths;return t}parseHeader(){let e=this.bytes;const t=e.length;let a=0;for(;a<t&&1!==e[a];)++a;if(a>=t)throw new FormatError("Invalid CFF header");if(0!\
+==a){info("cff data is shifted");e=e.subarray(a);this.bytes=e}const r=e[0],i=e[1],n=e[2],s=e[3];return{obj:new CFFHeader(r,i,n,s),endPos:n}}parseDict(e){let t=0;function parseOperand(){let a=e[t++];if(30===a)return function parseFloatOperand(){let a="";const r=15,i=["0","1","2","3","4","5","6","7","8","9",".","E","E-",null,"-"],n=e.length;for(;t<n;){const n=e[t++],s=n>>4,o=15&n;if(s===r)break;a+=i[s];if(o===r)break;a+=i[o]}return parseFloat(a)}();if(28===a){a=readInt16(e,t);t+=2;return a}if(29==\
+=a){a=e[t++];a=a<<8|e[t++];a=a<<8|e[t++];a=a<<8|e[t++];return a}if(a>=32&&a<=246)return a-139;if(a>=247&&a<=250)return 256*(a-247)+e[t++]+108;if(a>=251&&a<=254)return-256*(a-251)-e[t++]-108;warn(\'CFFParser_parseDict: "\'+a+\'" is a reserved command.\');return NaN}let a=[];const r=[];t=0;const i=e.length;for(;t<i;){let i=e[t];if(i<=21){12===i&&(i=i<<8|e[++t]);r.push([i,a]);a=[];++t}else a.push(parseOperand())}return r}parseIndex(e){const t=new CFFIndex,a=this.bytes,r=a[e++]<<8|a[e++],i=[];let n,s,o=\
+e;if(0!==r){const t=a[e++],c=e+(r+1)*t-1;for(n=0,s=r+1;n<s;++n){let r=0;for(let i=0;i<t;++i){r<<=8;r+=a[e++]}i.push(c+r)}o=i[r]}for(n=0,s=i.length-1;n<s;++n){const e=i[n],r=i[n+1];t.add(a.subarray(e,r))}return{obj:t,endPos:o}}parseNameIndex(e){const t=[];for(let a=0,r=e.count;a<r;++a){const r=e.get(a);t.push(bytesToString(r))}return t}parseStringIndex(e){const t=new CFFStrings;for(let a=0,r=e.count;a<r;++a){const r=e.get(a);t.add(bytesToString(r))}return t}createDict(e,t,a){const r=new e(a);for(\
+const[e,a]of t)r.setByKey(e,a);return r}parseCharString(e,t,a,r){if(!t||e.callDepth>10)return!1;let i=e.stackSize;const n=e.stack;let s=t.length;for(let o=0;o<s;){const c=t[o++];let l=null;if(12===c){const e=t[o++];if(0===e){t[o-2]=139;t[o-1]=22;i=0}else l=$r[e]}else if(28===c){n[i]=readInt16(t,o);o+=2;i++}else if(14===c){if(i>=4){i-=4;if(this.seacAnalysisEnabled){e.seac=n.slice(i,i+4);return!1}}l=zr[c]}else if(c>=32&&c<=246){n[i]=c-139;i++}else if(c>=247&&c<=254){n[i]=c<251?(c-247<<8)+t[o]+108:\
+-(c-251<<8)-t[o]-108;o++;i++}else if(255===c){n[i]=(t[o]<<24|t[o+1]<<16|t[o+2]<<8|t[o+3])/65536;o+=4;i++}else if(19===c||20===c){e.hints+=i>>1;if(0===e.hints){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}o+=e.hints+7>>3;i%=2;l=zr[c]}else{if(10===c||29===c){const t=10===c?a:r;if(!t){l=zr[c];warn("Missing subrsIndex for "+l.id);return!1}let s=32768;t.count<1240?s=107:t.count<33900&&(s=1131);const o=n[--i]+s;if(o<0||o>=t.count||isNaN(o)){l=zr[c];warn("Out of bounds subrIndex for "+l.id);return!1}e.sta\
+ckSize=i;e.callDepth++;if(!this.parseCharString(e,t.get(o),a,r))return!1;e.callDepth--;i=e.stackSize;continue}if(11===c){e.stackSize=i;return!0}if(0===c&&o===t.length){t[o-1]=14;l=zr[14]}else{if(9===c){t.copyWithin(o-1,o,-1);o-=1;s-=1;continue}l=zr[c]}}if(l){if(l.stem){e.hints+=i>>1;if(3===c||23===c)e.hasVStems=!0;else if(e.hasVStems&&(1===c||18===c)){warn("CFF stem hints are in wrong order");t[o-1]=1===c?3:23}}if("min"in l&&!e.undefStack&&i<l.min){warn("Not enough parameters for "+l.id+"; actua\
+l: "+i+", expected: "+l.min);if(0===i){t[o-1]=14;return!0}return!1}if(e.firstStackClearing&&l.stackClearing){e.firstStackClearing=!1;i-=l.min;i>=2&&l.stem?i%=2:i>1&&warn("Found too many parameters for stack-clearing command");i>0&&(e.width=n[i-1])}if("stackDelta"in l){"stackFn"in l&&l.stackFn(n,i);i+=l.stackDelta}else if(l.stackClearing)i=0;else if(l.resetStack){i=0;e.undefStack=!1}else if(l.undefStack){i=0;e.undefStack=!0;e.firstStackClearing=!1}}}s<t.length&&t.fill(14,s);e.stackSize=i;return!0\
+}parseCharStrings({charStrings:e,localSubrIndex:t,globalSubrIndex:a,fdSelect:r,fdArray:i,privateDict:n}){const s=[],o=[],c=e.count;for(let l=0;l<c;l++){const c=e.get(l),h={callDepth:0,stackSize:0,stack:[],undefStack:!0,hints:0,firstStackClearing:!0,seac:null,width:null,hasVStems:!1};let u=!0,d=null,f=n;if(r&&i.length){const e=r.getFDIndex(l);if(-1===e){warn("Glyph index is not in fd select.");u=!1}if(e>=i.length){warn("Invalid fd index for glyph index.");u=!1}if(u){f=i[e].privateDict;d=f.subrsIn\
+dex}}else t&&(d=t);u&&(u=this.parseCharString(h,c,d,a));if(null!==h.width){const e=f.getByName("nominalWidthX");o[l]=e+h.width}else{const e=f.getByName("defaultWidthX");o[l]=e}null!==h.seac&&(s[l]=h.seac);u||e.set(l,new Uint8Array([14]))}return{charStrings:e,seacs:s,widths:o}}emptyPrivateDictionary(e){const t=this.createDict(CFFPrivateDict,[],e.strings);e.setByKey(18,[0,0]);e.privateDict=t}parsePrivateDict(e){if(!e.hasName("Private")){this.emptyPrivateDictionary(e);return}const t=e.getByName("Pr\
+ivate");if(!Array.isArray(t)||2!==t.length){e.removeByName("Private");return}const a=t[0],r=t[1];if(0===a||r>=this.bytes.length){this.emptyPrivateDictionary(e);return}const i=r+a,n=this.bytes.subarray(r,i),s=this.parseDict(n),o=this.createDict(CFFPrivateDict,s,e.strings);e.privateDict=o;0===o.getByName("ExpansionFactor")&&o.setByName("ExpansionFactor",.06);if(!o.getByName("Subrs"))return;const c=o.getByName("Subrs"),l=r+c;if(0===c||l>=this.bytes.length){this.emptyPrivateDictionary(e);return}cons\
+t h=this.parseIndex(l);o.subrsIndex=h.obj}parseCharsets(e,t,a,r){if(0===e)return new CFFCharset(!0,Kr.ISO_ADOBE,Ur);if(1===e)return new CFFCharset(!0,Kr.EXPERT,Xr);if(2===e)return new CFFCharset(!0,Kr.EXPERT_SUBSET,qr);const i=this.bytes,n=e,s=i[e++],o=[r?0:".notdef"];let c,l,h;t-=1;switch(s){case 0:for(h=0;h<t;h++){c=i[e++]<<8|i[e++];o.push(r?c:a.get(c))}break;case 1:for(;o.length<=t;){c=i[e++]<<8|i[e++];l=i[e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;case 2:for(;o.length<=t;){c=i[e++]\
+<<8|i[e++];l=i[e++]<<8|i[e++];for(h=0;h<=l;h++)o.push(r?c++:a.get(c++))}break;default:throw new FormatError("Unknown charset format")}const u=e,d=i.subarray(n,u);return new CFFCharset(!1,s,o,d)}parseEncoding(e,t,a,r){const i=Object.create(null),n=this.bytes;let s,o,c,l=!1,h=null;if(0===e||1===e){l=!0;s=e;const t=e?wr:Ar;for(o=0,c=r.length;o<c;o++){const e=t.indexOf(r[o]);-1!==e&&(i[e]=o)}}else{const t=e;s=n[e++];switch(127&s){case 0:const t=n[e++];for(o=1;o<=t;o++)i[n[e++]]=o;break;case 1:const \
+a=n[e++];let r=1;for(o=0;o<a;o++){const t=n[e++],a=n[e++];for(let e=t;e<=t+a;e++)i[e]=r++}break;default:throw new FormatError(`Unknown encoding format: ${s} in CFF`)}const c=e;if(128&s){n[t]&=127;!function readSupplement(){const t=n[e++];for(o=0;o<t;o++){const t=n[e++],s=(n[e++]<<8)+(255&n[e++]);i[t]=r.indexOf(a.get(s))}}()}h=n.subarray(t,c)}s&=127;return new CFFEncoding(l,s,i,h)}parseFDSelect(e,t){const a=this.bytes,r=a[e++],i=[];let n;switch(r){case 0:for(n=0;n<t;++n){const t=a[e++];i.push(t)}\
+break;case 3:const s=a[e++]<<8|a[e++];for(n=0;n<s;++n){let t=a[e++]<<8|a[e++];if(0===n&&0!==t){warn("parseFDSelect: The first range must have a first GID of 0 -- trying to recover.");t=0}const r=a[e++],s=a[e]<<8|a[e+1];for(let e=t;e<s;++e)i.push(r)}e+=2;break;default:throw new FormatError(`parseFDSelect: Unknown format "${r}".`)}if(i.length!==t)throw new FormatError("parseFDSelect: Invalid font data.");return new CFFFDSelect(r,i)}}class CFF{constructor(){this.header=null;this.names=[];this.topDi\
+ct=null;this.strings=new CFFStrings;this.globalSubrIndex=null;this.encoding=null;this.charset=null;this.charStrings=null;this.fdArray=[];this.fdSelect=null;this.isCIDFont=!1}duplicateFirstGlyph(){if(this.charStrings.count>=65535){warn("Not enough space in charstrings to duplicate first glyph.");return}const e=this.charStrings.get(0);this.charStrings.add(e);this.isCIDFont&&this.fdSelect.fdSelect.push(this.fdSelect.fdSelect[0])}hasGlyphId(e){if(e<0||e>=this.charStrings.count)return!1;return this.c\
+harStrings.get(e).length>0}}class CFFHeader{constructor(e,t,a,r){this.major=e;this.minor=t;this.hdrSize=a;this.offSize=r}}class CFFStrings{constructor(){this.strings=[]}get(e){return e>=0&&e<=390?Hr[e]:e-Wr<=this.strings.length?this.strings[e-Wr]:Hr[0]}getSID(e){let t=Hr.indexOf(e);if(-1!==t)return t;t=this.strings.indexOf(e);return-1!==t?t+Wr:-1}add(e){this.strings.push(e)}get count(){return this.strings.length}}class CFFIndex{constructor(){this.objects=[];this.length=0}add(e){this.length+=e.le\
+ngth;this.objects.push(e)}set(e,t){this.length+=t.length-this.objects[e].length;this.objects[e]=t}get(e){return this.objects[e]}get count(){return this.objects.length}}class CFFDict{constructor(e,t){this.keyToNameMap=e.keyToNameMap;this.nameToKeyMap=e.nameToKeyMap;this.defaults=e.defaults;this.types=e.types;this.opcodes=e.opcodes;this.order=e.order;this.strings=t;this.values=Object.create(null)}setByKey(e,t){if(!(e in this.keyToNameMap))return!1;if(0===t.length)return!0;for(const a of t)if(isNaN\
+(a)){warn(`Invalid CFFDict value: "${t}" for key "${e}".`);return!0}const a=this.types[e];"num"!==a&&"sid"!==a&&"offset"!==a||(t=t[0]);this.values[e]=t;return!0}setByName(e,t){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name "${e}"`);this.values[this.nameToKeyMap[e]]=t}hasName(e){return this.nameToKeyMap[e]in this.values}getByName(e){if(!(e in this.nameToKeyMap))throw new FormatError(`Invalid dictionary name ${e}"`);const t=this.nameToKeyMap[e];return t in this.values?\
+this.values[t]:this.defaults[t]}removeByName(e){delete this.values[this.nameToKeyMap[e]]}static createTables(e){const t={keyToNameMap:{},nameToKeyMap:{},defaults:{},types:{},opcodes:{},order:[]};for(const a of e){const e=Array.isArray(a[0])?(a[0][0]<<8)+a[0][1]:a[0];t.keyToNameMap[e]=a[1];t.nameToKeyMap[a[1]]=e;t.types[e]=a[2];t.defaults[e]=a[3];t.opcodes[e]=Array.isArray(a[0])?a[0]:[a[0]];t.order.push(e)}return t}}const Gr=[[[12,30],"ROS",["sid","sid","num"],null],[[12,20],"SyntheticBase","num"\
+,null],[0,"version","sid",null],[1,"Notice","sid",null],[[12,0],"Copyright","sid",null],[2,"FullName","sid",null],[3,"FamilyName","sid",null],[4,"Weight","sid",null],[[12,1],"isFixedPitch","num",0],[[12,2],"ItalicAngle","num",0],[[12,3],"UnderlinePosition","num",-100],[[12,4],"UnderlineThickness","num",50],[[12,5],"PaintType","num",0],[[12,6],"CharstringType","num",2],[[12,7],"FontMatrix",["num","num","num","num","num","num"],[.001,0,0,.001,0,0]],[13,"UniqueID","num",null],[5,"FontBBox",["num","\
+num","num","num"],[0,0,0,0]],[[12,8],"StrokeWidth","num",0],[14,"XUID","array",null],[15,"charset","offset",0],[16,"Encoding","offset",0],[17,"CharStrings","offset",0],[18,"Private",["offset","offset"],null],[[12,21],"PostScript","sid",null],[[12,22],"BaseFontName","sid",null],[[12,23],"BaseFontBlend","delta",null],[[12,31],"CIDFontVersion","num",0],[[12,32],"CIDFontRevision","num",0],[[12,33],"CIDFontType","num",0],[[12,34],"CIDCount","num",8720],[[12,35],"UIDBase","num",null],[[12,37],"FDSelec\
+t","offset",null],[[12,36],"FDArray","offset",null],[[12,38],"FontName","sid",null]];class CFFTopDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Gr))}constructor(e){super(CFFTopDict.tables,e);this.privateDict=null}}const Vr=[[6,"BlueValues","delta",null],[7,"OtherBlues","delta",null],[8,"FamilyBlues","delta",null],[9,"FamilyOtherBlues","delta",null],[[12,9],"BlueScale","num",.039625],[[12,10],"BlueShift","num",7],[[12,11],"BlueFuzz","num",1],[10,"StdHW","nu\
+m",null],[11,"StdVW","num",null],[[12,12],"StemSnapH","delta",null],[[12,13],"StemSnapV","delta",null],[[12,14],"ForceBold","num",0],[[12,17],"LanguageGroup","num",0],[[12,18],"ExpansionFactor","num",.06],[[12,19],"initialRandomSeed","num",0],[20,"defaultWidthX","num",0],[21,"nominalWidthX","num",0],[19,"Subrs","offset",null]];class CFFPrivateDict extends CFFDict{static get tables(){return shadow(this,"tables",this.createTables(Vr))}constructor(e){super(CFFPrivateDict.tables,e);this.subrsIndex=n\
+ull}}const Kr={ISO_ADOBE:0,EXPERT:1,EXPERT_SUBSET:2};class CFFCharset{constructor(e,t,a,r){this.predefined=e;this.format=t;this.charset=a;this.raw=r}}class CFFEncoding{constructor(e,t,a,r){this.predefined=e;this.format=t;this.encoding=a;this.raw=r}}class CFFFDSelect{constructor(e,t){this.format=e;this.fdSelect=t}getFDIndex(e){return e<0||e>=this.fdSelect.length?-1:this.fdSelect[e]}}class CFFOffsetTracker{constructor(){this.offsets=Object.create(null)}isTracking(e){return e in this.offsets}track(\
+e,t){if(e in this.offsets)throw new FormatError(`Already tracking location of ${e}`);this.offsets[e]=t}offset(e){for(const t in this.offsets)this.offsets[t]+=e}setEntryLocation(e,t,a){if(!(e in this.offsets))throw new FormatError(`Not tracking location of ${e}`);const r=a.data,i=this.offsets[e];for(let e=0,a=t.length;e<a;++e){const a=5*e+i,n=a+1,s=a+2,o=a+3,c=a+4;if(29!==r[a]||0!==r[n]||0!==r[s]||0!==r[o]||0!==r[c])throw new FormatError("writing to an offset that is not empty");const l=t[e];r[a]\
+=29;r[n]=l>>24&255;r[s]=l>>16&255;r[o]=l>>8&255;r[c]=255&l}}}class CFFCompiler{constructor(e){this.cff=e}compile(){const e=this.cff,t={data:[],length:0,add(e){try{this.data.push(...e)}catch{this.data=this.data.concat(e)}this.length=this.data.length}},a=this.compileHeader(e.header);t.add(a);const r=this.compileNameIndex(e.names);t.add(r);if(e.isCIDFont&&e.topDict.hasName("FontMatrix")){const t=e.topDict.getByName("FontMatrix");e.topDict.removeByName("FontMatrix");for(const a of e.fdArray){let e=t\
+.slice(0);a.hasName("FontMatrix")&&(e=Util.transform(e,a.getByName("FontMatrix")));a.setByName("FontMatrix",e)}}const i=e.topDict.getByName("XUID");i?.length>16&&e.topDict.removeByName("XUID");e.topDict.setByName("charset",0);let n=this.compileTopDicts([e.topDict],t.length,e.isCIDFont);t.add(n.output);const s=n.trackers[0],o=this.compileStringIndex(e.strings.strings);t.add(o);const c=this.compileIndex(e.globalSubrIndex);t.add(c);if(e.encoding&&e.topDict.hasName("Encoding"))if(e.encoding.predefin\
+ed)s.setEntryLocation("Encoding",[e.encoding.format],t);else{const a=this.compileEncoding(e.encoding);s.setEntryLocation("Encoding",[t.length],t);t.add(a)}const l=this.compileCharset(e.charset,e.charStrings.count,e.strings,e.isCIDFont);s.setEntryLocation("charset",[t.length],t);t.add(l);const h=this.compileCharStrings(e.charStrings);s.setEntryLocation("CharStrings",[t.length],t);t.add(h);if(e.isCIDFont){s.setEntryLocation("FDSelect",[t.length],t);const a=this.compileFDSelect(e.fdSelect);t.add(a)\
+;n=this.compileTopDicts(e.fdArray,t.length,!0);s.setEntryLocation("FDArray",[t.length],t);t.add(n.output);const r=n.trackers;this.compilePrivateDicts(e.fdArray,r,t)}this.compilePrivateDicts([e.topDict],[s],t);t.add([0]);return t.data}encodeNumber(e){return Number.isInteger(e)?this.encodeInteger(e):this.encodeFloat(e)}static get EncodeFloatRegExp(){return shadow(this,"EncodeFloatRegExp",/\\.(\\d*?)(?:9{5,20}|0{5,20})\\d{0,2}(?:e(.+)|$)/)}encodeFloat(e){let t=e.toString();const a=CFFCompiler.EncodeFl\
+oatRegExp.exec(t);if(a){const r=parseFloat("1e"+((a[2]?+a[2]:0)+a[1].length));t=(Math.round(e*r)/r).toString()}let r,i,n="";for(r=0,i=t.length;r<i;++r){const e=t[r];n+="e"===e?"-"===t[++r]?"c":"b":"."===e?"a":"-"===e?"e":e}n+=1&n.length?"f":"ff";const s=[30];for(r=0,i=n.length;r<i;r+=2)s.push(parseInt(n.substring(r,r+2),16));return s}encodeInteger(e){let t;t=e>=-107&&e<=107?[e+139]:e>=108&&e<=1131?[247+((e-=108)>>8),255&e]:e>=-1131&&e<=-108?[251+((e=-e-108)>>8),255&e]:e>=-32768&&e<=32767?[28,e>>\
+8&255,255&e]:[29,e>>24&255,e>>16&255,e>>8&255,255&e];return t}compileHeader(e){return[e.major,e.minor,4,e.offSize]}compileNameIndex(e){const t=new CFFIndex;for(const a of e){const e=Math.min(a.length,127);let r=new Array(e);for(let t=0;t<e;t++){let e=a[t];(e<"!"||e>"~"||"["===e||"]"===e||"("===e||")"===e||"{"===e||"}"===e||"<"===e||">"===e||"/"===e||"%"===e)&&(e="_");r[t]=e}r=r.join("");""===r&&(r="Bad_Font_Name");t.add(stringToBytes(r))}return this.compileIndex(t)}compileTopDicts(e,t,a){const r\
+=[];let i=new CFFIndex;for(const n of e){if(a){n.removeByName("CIDFontVersion");n.removeByName("CIDFontRevision");n.removeByName("CIDFontType");n.removeByName("CIDCount");n.removeByName("UIDBase")}const e=new CFFOffsetTracker,s=this.compileDict(n,e);r.push(e);i.add(s);e.offset(t)}i=this.compileIndex(i,r);return{trackers:r,output:i}}compilePrivateDicts(e,t,a){for(let r=0,i=e.length;r<i;++r){const i=e[r],n=i.privateDict;if(!n||!i.hasName("Private"))throw new FormatError("There must be a private di\
+ctionary.");const s=new CFFOffsetTracker,o=this.compileDict(n,s);let c=a.length;s.offset(c);o.length||(c=0);t[r].setEntryLocation("Private",[o.length,c],a);a.add(o);if(n.subrsIndex&&n.hasName("Subrs")){const e=this.compileIndex(n.subrsIndex);s.setEntryLocation("Subrs",[o.length],a);a.add(e)}}}compileDict(e,t){const a=[];for(const r of e.order){if(!(r in e.values))continue;let i=e.values[r],n=e.types[r];Array.isArray(n)||(n=[n]);Array.isArray(i)||(i=[i]);if(0!==i.length){for(let s=0,o=n.length;s<\
+o;++s){const o=n[s],c=i[s];switch(o){case"num":case"sid":a.push(...this.encodeNumber(c));break;case"offset":const n=e.keyToNameMap[r];t.isTracking(n)||t.track(n,a.length);a.push(29,0,0,0,0);break;case"array":case"delta":a.push(...this.encodeNumber(c));for(let e=1,t=i.length;e<t;++e)a.push(...this.encodeNumber(i[e]));break;default:throw new FormatError(`Unknown data type of ${o}`)}}a.push(...e.opcodes[r])}}return a}compileStringIndex(e){const t=new CFFIndex;for(const a of e)t.add(stringToBytes(a)\
+);return this.compileIndex(t)}compileCharStrings(e){const t=new CFFIndex;for(let a=0;a<e.count;a++){const r=e.get(a);0!==r.length?t.add(r):t.add(new Uint8Array([139,14]))}return this.compileIndex(t)}compileCharset(e,t,a,r){let i;const n=t-1;if(r){const e=n-1;i=new Uint8Array([2,0,1,e>>8&255,255&e])}else{i=new Uint8Array(1+2*n);i[0]=0;let t=0;const r=e.charset.length;let s=!1;for(let n=1;n<i.length;n+=2){let o=0;if(t<r){const r=e.charset[t++];o=a.getSID(r);if(-1===o){o=0;if(!s){s=!0;warn(`Couldn\'\
+t find ${r} in CFF strings`)}}}i[n]=o>>8&255;i[n+1]=255&o}}return this.compileTypedArray(i)}compileEncoding(e){return this.compileTypedArray(e.raw)}compileFDSelect(e){const t=e.format;let a,r;switch(t){case 0:a=new Uint8Array(1+e.fdSelect.length);a[0]=t;for(r=0;r<e.fdSelect.length;r++)a[r+1]=e.fdSelect[r];break;case 3:const i=0;let n=e.fdSelect[0];const s=[t,0,0,i>>8&255,255&i,n];for(r=1;r<e.fdSelect.length;r++){const t=e.fdSelect[r];if(t!==n){s.push(r>>8&255,255&r,t);n=t}}const o=(s.length-3)/3\
+;s[1]=o>>8&255;s[2]=255&o;s.push(r>>8&255,255&r);a=new Uint8Array(s)}return this.compileTypedArray(a)}compileTypedArray(e){return Array.from(e)}compileIndex(e,t=[]){const a=e.objects,r=a.length;if(0===r)return[0,0];const i=[r>>8&255,255&r];let n,s,o=1;for(n=0;n<r;++n)o+=a[n].length;s=o<256?1:o<65536?2:o<16777216?3:4;i.push(s);let c=1;for(n=0;n<r+1;n++){1===s?i.push(255&c):2===s?i.push(c>>8&255,255&c):3===s?i.push(c>>16&255,c>>8&255,255&c):i.push(c>>>24&255,c>>16&255,c>>8&255,255&c);a[n]&&(c+=a[n\
+].length)}for(n=0;n<r;n++){t[n]&&t[n].offset(i.length);i.push(...a[n])}return i}}const Jr=getLookupTableFactory((function(e){e["Times-Roman"]="Times-Roman";e.Helvetica="Helvetica";e.Courier="Courier";e.Symbol="Symbol";e["Times-Bold"]="Times-Bold";e["Helvetica-Bold"]="Helvetica-Bold";e["Courier-Bold"]="Courier-Bold";e.ZapfDingbats="ZapfDingbats";e["Times-Italic"]="Times-Italic";e["Helvetica-Oblique"]="Helvetica-Oblique";e["Courier-Oblique"]="Courier-Oblique";e["Times-BoldItalic"]="Times-BoldItali\
+c";e["Helvetica-BoldOblique"]="Helvetica-BoldOblique";e["Courier-BoldOblique"]="Courier-BoldOblique";e.ArialNarrow="Helvetica";e["ArialNarrow-Bold"]="Helvetica-Bold";e["ArialNarrow-BoldItalic"]="Helvetica-BoldOblique";e["ArialNarrow-Italic"]="Helvetica-Oblique";e.ArialBlack="Helvetica";e["ArialBlack-Bold"]="Helvetica-Bold";e["ArialBlack-BoldItalic"]="Helvetica-BoldOblique";e["ArialBlack-Italic"]="Helvetica-Oblique";e["Arial-Black"]="Helvetica";e["Arial-Black-Bold"]="Helvetica-Bold";e["Arial-Blac\
+k-BoldItalic"]="Helvetica-BoldOblique";e["Arial-Black-Italic"]="Helvetica-Oblique";e.Arial="Helvetica";e["Arial-Bold"]="Helvetica-Bold";e["Arial-BoldItalic"]="Helvetica-BoldOblique";e["Arial-Italic"]="Helvetica-Oblique";e.ArialMT="Helvetica";e["Arial-BoldItalicMT"]="Helvetica-BoldOblique";e["Arial-BoldMT"]="Helvetica-Bold";e["Arial-ItalicMT"]="Helvetica-Oblique";e["Arial-BoldItalicMT-BoldItalic"]="Helvetica-BoldOblique";e["Arial-BoldMT-Bold"]="Helvetica-Bold";e["Arial-ItalicMT-Italic"]="Helvetic\
+a-Oblique";e.ArialUnicodeMS="Helvetica";e["ArialUnicodeMS-Bold"]="Helvetica-Bold";e["ArialUnicodeMS-BoldItalic"]="Helvetica-BoldOblique";e["ArialUnicodeMS-Italic"]="Helvetica-Oblique";e["Courier-BoldItalic"]="Courier-BoldOblique";e["Courier-Italic"]="Courier-Oblique";e.CourierNew="Courier";e["CourierNew-Bold"]="Courier-Bold";e["CourierNew-BoldItalic"]="Courier-BoldOblique";e["CourierNew-Italic"]="Courier-Oblique";e["CourierNewPS-BoldItalicMT"]="Courier-BoldOblique";e["CourierNewPS-BoldMT"]="Cour\
+ier-Bold";e["CourierNewPS-ItalicMT"]="Courier-Oblique";e.CourierNewPSMT="Courier";e["Helvetica-BoldItalic"]="Helvetica-BoldOblique";e["Helvetica-Italic"]="Helvetica-Oblique";e["HelveticaLTStd-Bold"]="Helvetica-Bold";e["Symbol-Bold"]="Symbol";e["Symbol-BoldItalic"]="Symbol";e["Symbol-Italic"]="Symbol";e.TimesNewRoman="Times-Roman";e["TimesNewRoman-Bold"]="Times-Bold";e["TimesNewRoman-BoldItalic"]="Times-BoldItalic";e["TimesNewRoman-Italic"]="Times-Italic";e.TimesNewRomanPS="Times-Roman";e["TimesN\
+ewRomanPS-Bold"]="Times-Bold";e["TimesNewRomanPS-BoldItalic"]="Times-BoldItalic";e["TimesNewRomanPS-BoldItalicMT"]="Times-BoldItalic";e["TimesNewRomanPS-BoldMT"]="Times-Bold";e["TimesNewRomanPS-Italic"]="Times-Italic";e["TimesNewRomanPS-ItalicMT"]="Times-Italic";e.TimesNewRomanPSMT="Times-Roman";e["TimesNewRomanPSMT-Bold"]="Times-Bold";e["TimesNewRomanPSMT-BoldItalic"]="Times-BoldItalic";e["TimesNewRomanPSMT-Italic"]="Times-Italic"})),Yr=getLookupTableFactory((function(e){e.Courier="FoxitFixed.p\
+fb";e["Courier-Bold"]="FoxitFixedBold.pfb";e["Courier-BoldOblique"]="FoxitFixedBoldItalic.pfb";e["Courier-Oblique"]="FoxitFixedItalic.pfb";e.Helvetica="LiberationSans-Regular.ttf";e["Helvetica-Bold"]="LiberationSans-Bold.ttf";e["Helvetica-BoldOblique"]="LiberationSans-BoldItalic.ttf";e["Helvetica-Oblique"]="LiberationSans-Italic.ttf";e["Times-Roman"]="FoxitSerif.pfb";e["Times-Bold"]="FoxitSerifBold.pfb";e["Times-BoldItalic"]="FoxitSerifBoldItalic.pfb";e["Times-Italic"]="FoxitSerifItalic.pfb";e.S\
+ymbol="FoxitSymbol.pfb";e.ZapfDingbats="FoxitDingbats.pfb";e["LiberationSans-Regular"]="LiberationSans-Regular.ttf";e["LiberationSans-Bold"]="LiberationSans-Bold.ttf";e["LiberationSans-Italic"]="LiberationSans-Italic.ttf";e["LiberationSans-BoldItalic"]="LiberationSans-BoldItalic.ttf"})),Zr=getLookupTableFactory((function(e){e.Calibri="Helvetica";e["Calibri-Bold"]="Helvetica-Bold";e["Calibri-BoldItalic"]="Helvetica-BoldOblique";e["Calibri-Italic"]="Helvetica-Oblique";e.CenturyGothic="Helvetica";e\
+["CenturyGothic-Bold"]="Helvetica-Bold";e["CenturyGothic-BoldItalic"]="Helvetica-BoldOblique";e["CenturyGothic-Italic"]="Helvetica-Oblique";e.ComicSansMS="Comic Sans MS";e["ComicSansMS-Bold"]="Comic Sans MS-Bold";e["ComicSansMS-BoldItalic"]="Comic Sans MS-BoldItalic";e["ComicSansMS-Italic"]="Comic Sans MS-Italic";e.GillSansMT="Helvetica";e["GillSansMT-Bold"]="Helvetica-Bold";e["GillSansMT-BoldItalic"]="Helvetica-BoldOblique";e["GillSansMT-Italic"]="Helvetica-Oblique";e.Impact="Helvetica";e["ItcS\
+ymbol-Bold"]="Helvetica-Bold";e["ItcSymbol-BoldItalic"]="Helvetica-BoldOblique";e["ItcSymbol-Book"]="Helvetica";e["ItcSymbol-BookItalic"]="Helvetica-Oblique";e["ItcSymbol-Medium"]="Helvetica";e["ItcSymbol-MediumItalic"]="Helvetica-Oblique";e.LucidaConsole="Courier";e["LucidaConsole-Bold"]="Courier-Bold";e["LucidaConsole-BoldItalic"]="Courier-BoldOblique";e["LucidaConsole-Italic"]="Courier-Oblique";e["LucidaSans-Demi"]="Helvetica-Bold";e["MS-Gothic"]="MS Gothic";e["MS-Gothic-Bold"]="MS Gothic-Bol\
+d";e["MS-Gothic-BoldItalic"]="MS Gothic-BoldItalic";e["MS-Gothic-Italic"]="MS Gothic-Italic";e["MS-Mincho"]="MS Mincho";e["MS-Mincho-Bold"]="MS Mincho-Bold";e["MS-Mincho-BoldItalic"]="MS Mincho-BoldItalic";e["MS-Mincho-Italic"]="MS Mincho-Italic";e["MS-PGothic"]="MS PGothic";e["MS-PGothic-Bold"]="MS PGothic-Bold";e["MS-PGothic-BoldItalic"]="MS PGothic-BoldItalic";e["MS-PGothic-Italic"]="MS PGothic-Italic";e["MS-PMincho"]="MS PMincho";e["MS-PMincho-Bold"]="MS PMincho-Bold";e["MS-PMincho-BoldItali\
+c"]="MS PMincho-BoldItalic";e["MS-PMincho-Italic"]="MS PMincho-Italic";e.NuptialScript="Times-Italic";e.SegoeUISymbol="Helvetica"})),Qr=getLookupTableFactory((function(e){e["Adobe Jenson"]=!0;e["Adobe Text"]=!0;e.Albertus=!0;e.Aldus=!0;e.Alexandria=!0;e.Algerian=!0;e["American Typewriter"]=!0;e.Antiqua=!0;e.Apex=!0;e.Arno=!0;e.Aster=!0;e.Aurora=!0;e.Baskerville=!0;e.Bell=!0;e.Bembo=!0;e["Bembo Schoolbook"]=!0;e.Benguiat=!0;e["Berkeley Old Style"]=!0;e["Bernhard Modern"]=!0;e["Berthold City"]=!0;\
+e.Bodoni=!0;e["Bauer Bodoni"]=!0;e["Book Antiqua"]=!0;e.Bookman=!0;e["Bordeaux Roman"]=!0;e["Californian FB"]=!0;e.Calisto=!0;e.Calvert=!0;e.Capitals=!0;e.Cambria=!0;e.Cartier=!0;e.Caslon=!0;e.Catull=!0;e.Centaur=!0;e["Century Old Style"]=!0;e["Century Schoolbook"]=!0;e.Chaparral=!0;e["Charis SIL"]=!0;e.Cheltenham=!0;e["Cholla Slab"]=!0;e.Clarendon=!0;e.Clearface=!0;e.Cochin=!0;e.Colonna=!0;e["Computer Modern"]=!0;e["Concrete Roman"]=!0;e.Constantia=!0;e["Cooper Black"]=!0;e.Corona=!0;e.Ecotype=\
+!0;e.Egyptienne=!0;e.Elephant=!0;e.Excelsior=!0;e.Fairfield=!0;e["FF Scala"]=!0;e.Folkard=!0;e.Footlight=!0;e.FreeSerif=!0;e["Friz Quadrata"]=!0;e.Garamond=!0;e.Gentium=!0;e.Georgia=!0;e.Gloucester=!0;e["Goudy Old Style"]=!0;e["Goudy Schoolbook"]=!0;e["Goudy Pro Font"]=!0;e.Granjon=!0;e["Guardian Egyptian"]=!0;e.Heather=!0;e.Hercules=!0;e["High Tower Text"]=!0;e.Hiroshige=!0;e["Hoefler Text"]=!0;e["Humana Serif"]=!0;e.Imprint=!0;e["Ionic No. 5"]=!0;e.Janson=!0;e.Joanna=!0;e.Korinna=!0;e.Lexicon=\
+!0;e.LiberationSerif=!0;e["Liberation Serif"]=!0;e["Linux Libertine"]=!0;e.Literaturnaya=!0;e.Lucida=!0;e["Lucida Bright"]=!0;e.Melior=!0;e.Memphis=!0;e.Miller=!0;e.Minion=!0;e.Modern=!0;e["Mona Lisa"]=!0;e["Mrs Eaves"]=!0;e["MS Serif"]=!0;e["Museo Slab"]=!0;e["New York"]=!0;e["Nimbus Roman"]=!0;e["NPS Rawlinson Roadway"]=!0;e.NuptialScript=!0;e.Palatino=!0;e.Perpetua=!0;e.Plantin=!0;e["Plantin Schoolbook"]=!0;e.Playbill=!0;e["Poor Richard"]=!0;e["Rawlinson Roadway"]=!0;e.Renault=!0;e.Requiem=!0\
+;e.Rockwell=!0;e.Roman=!0;e["Rotis Serif"]=!0;e.Sabon=!0;e.Scala=!0;e.Seagull=!0;e.Sistina=!0;e.Souvenir=!0;e.STIX=!0;e["Stone Informal"]=!0;e["Stone Serif"]=!0;e.Sylfaen=!0;e.Times=!0;e.Trajan=!0;e["Trinité"]=!0;e["Trump Mediaeval"]=!0;e.Utopia=!0;e["Vale Type"]=!0;e["Bitstream Vera"]=!0;e["Vera Serif"]=!0;e.Versailles=!0;e.Wanted=!0;e.Weiss=!0;e["Wide Latin"]=!0;e.Windsor=!0;e.XITS=!0})),ei=getLookupTableFactory((function(e){e.Dingbats=!0;e.Symbol=!0;e.ZapfDingbats=!0;e.Wingdings=!0;e["Wingdin\
+gs-Bold"]=!0;e["Wingdings-Regular"]=!0})),ti=getLookupTableFactory((function(e){e[2]=10;e[3]=32;e[4]=33;e[5]=34;e[6]=35;e[7]=36;e[8]=37;e[9]=38;e[10]=39;e[11]=40;e[12]=41;e[13]=42;e[14]=43;e[15]=44;e[16]=45;e[17]=46;e[18]=47;e[19]=48;e[20]=49;e[21]=50;e[22]=51;e[23]=52;e[24]=53;e[25]=54;e[26]=55;e[27]=56;e[28]=57;e[29]=58;e[30]=894;e[31]=60;e[32]=61;e[33]=62;e[34]=63;e[35]=64;e[36]=65;e[37]=66;e[38]=67;e[39]=68;e[40]=69;e[41]=70;e[42]=71;e[43]=72;e[44]=73;e[45]=74;e[46]=75;e[47]=76;e[48]=77;e[49\
+]=78;e[50]=79;e[51]=80;e[52]=81;e[53]=82;e[54]=83;e[55]=84;e[56]=85;e[57]=86;e[58]=87;e[59]=88;e[60]=89;e[61]=90;e[62]=91;e[63]=92;e[64]=93;e[65]=94;e[66]=95;e[67]=96;e[68]=97;e[69]=98;e[70]=99;e[71]=100;e[72]=101;e[73]=102;e[74]=103;e[75]=104;e[76]=105;e[77]=106;e[78]=107;e[79]=108;e[80]=109;e[81]=110;e[82]=111;e[83]=112;e[84]=113;e[85]=114;e[86]=115;e[87]=116;e[88]=117;e[89]=118;e[90]=119;e[91]=120;e[92]=121;e[93]=122;e[94]=123;e[95]=124;e[96]=125;e[97]=126;e[98]=196;e[99]=197;e[100]=199;e[101\
+]=201;e[102]=209;e[103]=214;e[104]=220;e[105]=225;e[106]=224;e[107]=226;e[108]=228;e[109]=227;e[110]=229;e[111]=231;e[112]=233;e[113]=232;e[114]=234;e[115]=235;e[116]=237;e[117]=236;e[118]=238;e[119]=239;e[120]=241;e[121]=243;e[122]=242;e[123]=244;e[124]=246;e[125]=245;e[126]=250;e[127]=249;e[128]=251;e[129]=252;e[130]=8224;e[131]=176;e[132]=162;e[133]=163;e[134]=167;e[135]=8226;e[136]=182;e[137]=223;e[138]=174;e[139]=169;e[140]=8482;e[141]=180;e[142]=168;e[143]=8800;e[144]=198;e[145]=216;e[146]\
+=8734;e[147]=177;e[148]=8804;e[149]=8805;e[150]=165;e[151]=181;e[152]=8706;e[153]=8721;e[154]=8719;e[156]=8747;e[157]=170;e[158]=186;e[159]=8486;e[160]=230;e[161]=248;e[162]=191;e[163]=161;e[164]=172;e[165]=8730;e[166]=402;e[167]=8776;e[168]=8710;e[169]=171;e[170]=187;e[171]=8230;e[179]=8220;e[180]=8221;e[181]=8216;e[182]=8217;e[200]=193;e[203]=205;e[207]=211;e[210]=218;e[223]=711;e[224]=321;e[225]=322;e[226]=352;e[227]=353;e[228]=381;e[229]=382;e[233]=221;e[234]=253;e[252]=263;e[253]=268;e[254]\
+=269;e[258]=258;e[260]=260;e[261]=261;e[265]=280;e[266]=281;e[267]=282;e[268]=283;e[269]=313;e[275]=323;e[276]=324;e[278]=328;e[283]=344;e[284]=345;e[285]=346;e[286]=347;e[292]=367;e[295]=377;e[296]=378;e[298]=380;e[305]=963;e[306]=964;e[307]=966;e[308]=8215;e[309]=8252;e[310]=8319;e[311]=8359;e[312]=8592;e[313]=8593;e[337]=9552;e[493]=1039;e[494]=1040;e[570]=1040;e[571]=1041;e[572]=1042;e[573]=1043;e[574]=1044;e[575]=1045;e[576]=1046;e[577]=1047;e[578]=1048;e[579]=1049;e[580]=1050;e[581]=1051;e\
+[582]=1052;e[583]=1053;e[584]=1054;e[585]=1055;e[586]=1056;e[587]=1057;e[588]=1058;e[589]=1059;e[590]=1060;e[591]=1061;e[592]=1062;e[593]=1063;e[594]=1064;e[595]=1065;e[596]=1066;e[597]=1067;e[598]=1068;e[599]=1069;e[600]=1070;e[672]=1488;e[673]=1489;e[674]=1490;e[675]=1491;e[676]=1492;e[677]=1493;e[678]=1494;e[679]=1495;e[680]=1496;e[681]=1497;e[682]=1498;e[683]=1499;e[684]=1500;e[685]=1501;e[686]=1502;e[687]=1503;e[688]=1504;e[689]=1505;e[690]=1506;e[691]=1507;e[692]=1508;e[693]=1509;e[694]=15\
+10;e[695]=1511;e[696]=1512;e[697]=1513;e[698]=1514;e[705]=1524;e[706]=8362;e[710]=64288;e[711]=64298;e[759]=1617;e[761]=1776;e[763]=1778;e[775]=1652;e[777]=1764;e[778]=1780;e[779]=1781;e[780]=1782;e[782]=771;e[783]=64726;e[786]=8363;e[788]=8532;e[790]=768;e[791]=769;e[792]=768;e[795]=803;e[797]=64336;e[798]=64337;e[799]=64342;e[800]=64343;e[801]=64344;e[802]=64345;e[803]=64362;e[804]=64363;e[805]=64364;e[2424]=7821;e[2425]=7822;e[2426]=7823;e[2427]=7824;e[2428]=7825;e[2429]=7826;e[2430]=7827;e[2\
+433]=7682;e[2678]=8045;e[2679]=8046;e[2830]=1552;e[2838]=686;e[2840]=751;e[2842]=753;e[2843]=754;e[2844]=755;e[2846]=757;e[2856]=767;e[2857]=848;e[2858]=849;e[2862]=853;e[2863]=854;e[2864]=855;e[2865]=861;e[2866]=862;e[2906]=7460;e[2908]=7462;e[2909]=7463;e[2910]=7464;e[2912]=7466;e[2913]=7467;e[2914]=7468;e[2916]=7470;e[2917]=7471;e[2918]=7472;e[2920]=7474;e[2921]=7475;e[2922]=7476;e[2924]=7478;e[2925]=7479;e[2926]=7480;e[2928]=7482;e[2929]=7483;e[2930]=7484;e[2932]=7486;e[2933]=7487;e[2934]=74\
+88;e[2936]=7490;e[2937]=7491;e[2938]=7492;e[2940]=7494;e[2941]=7495;e[2942]=7496;e[2944]=7498;e[2946]=7500;e[2948]=7502;e[2950]=7504;e[2951]=7505;e[2952]=7506;e[2954]=7508;e[2955]=7509;e[2956]=7510;e[2958]=7512;e[2959]=7513;e[2960]=7514;e[2962]=7516;e[2963]=7517;e[2964]=7518;e[2966]=7520;e[2967]=7521;e[2968]=7522;e[2970]=7524;e[2971]=7525;e[2972]=7526;e[2974]=7528;e[2975]=7529;e[2976]=7530;e[2978]=1537;e[2979]=1538;e[2980]=1539;e[2982]=1549;e[2983]=1551;e[2984]=1552;e[2986]=1554;e[2987]=1555;e[2\
+988]=1556;e[2990]=1623;e[2991]=1624;e[2995]=1775;e[2999]=1791;e[3002]=64290;e[3003]=64291;e[3004]=64292;e[3006]=64294;e[3007]=64295;e[3008]=64296;e[3011]=1900;e[3014]=8223;e[3015]=8244;e[3017]=7532;e[3018]=7533;e[3019]=7534;e[3075]=7590;e[3076]=7591;e[3079]=7594;e[3080]=7595;e[3083]=7598;e[3084]=7599;e[3087]=7602;e[3088]=7603;e[3091]=7606;e[3092]=7607;e[3095]=7610;e[3096]=7611;e[3099]=7614;e[3100]=7615;e[3103]=7618;e[3104]=7619;e[3107]=8337;e[3108]=8338;e[3116]=1884;e[3119]=1885;e[3120]=1885;e[3\
+123]=1886;e[3124]=1886;e[3127]=1887;e[3128]=1887;e[3131]=1888;e[3132]=1888;e[3135]=1889;e[3136]=1889;e[3139]=1890;e[3140]=1890;e[3143]=1891;e[3144]=1891;e[3147]=1892;e[3148]=1892;e[3153]=580;e[3154]=581;e[3157]=584;e[3158]=585;e[3161]=588;e[3162]=589;e[3165]=891;e[3166]=892;e[3169]=1274;e[3170]=1275;e[3173]=1278;e[3174]=1279;e[3181]=7622;e[3182]=7623;e[3282]=11799;e[3316]=578;e[3379]=42785;e[3393]=1159;e[3416]=8377})),ai=getLookupTableFactory((function(e){e[227]=322;e[264]=261;e[291]=346})),ri=g\
+etLookupTableFactory((function(e){e[1]=32;e[4]=65;e[5]=192;e[6]=193;e[9]=196;e[17]=66;e[18]=67;e[21]=268;e[24]=68;e[28]=69;e[29]=200;e[30]=201;e[32]=282;e[38]=70;e[39]=71;e[44]=72;e[47]=73;e[48]=204;e[49]=205;e[58]=74;e[60]=75;e[62]=76;e[68]=77;e[69]=78;e[75]=79;e[76]=210;e[80]=214;e[87]=80;e[89]=81;e[90]=82;e[92]=344;e[94]=83;e[97]=352;e[100]=84;e[104]=85;e[109]=220;e[115]=86;e[116]=87;e[121]=88;e[122]=89;e[124]=221;e[127]=90;e[129]=381;e[258]=97;e[259]=224;e[260]=225;e[263]=228;e[268]=261;e[27\
+1]=98;e[272]=99;e[273]=263;e[275]=269;e[282]=100;e[286]=101;e[287]=232;e[288]=233;e[290]=283;e[295]=281;e[296]=102;e[336]=103;e[346]=104;e[349]=105;e[350]=236;e[351]=237;e[361]=106;e[364]=107;e[367]=108;e[371]=322;e[373]=109;e[374]=110;e[381]=111;e[382]=242;e[383]=243;e[386]=246;e[393]=112;e[395]=113;e[396]=114;e[398]=345;e[400]=115;e[401]=347;e[403]=353;e[410]=116;e[437]=117;e[442]=252;e[448]=118;e[449]=119;e[454]=120;e[455]=121;e[457]=253;e[460]=122;e[462]=382;e[463]=380;e[853]=44;e[855]=58;e[\
+856]=46;e[876]=47;e[878]=45;e[882]=45;e[894]=40;e[895]=41;e[896]=91;e[897]=93;e[923]=64;e[940]=163;e[1004]=48;e[1005]=49;e[1006]=50;e[1007]=51;e[1008]=52;e[1009]=53;e[1010]=54;e[1011]=55;e[1012]=56;e[1013]=57;e[1081]=37;e[1085]=43;e[1086]=45}));function getStandardFontName(e){const t=normalizeFontName(e);return Jr()[t]}function isKnownFontName(e){const t=normalizeFontName(e);return!!(Jr()[t]||Zr()[t]||Qr()[t]||ei()[t])}class ToUnicodeMap{constructor(e=[]){this._map=e}get length(){return this._ma\
+p.length}forEach(e){for(const t in this._map)e(t,this._map[t].codePointAt(0))}has(e){return void 0!==this._map[e]}get(e){return this._map[e]}charCodeOf(e){const t=this._map;if(t.length<=65536)return t.indexOf(e);for(const a in t)if(t[a]===e)return 0|a;return-1}amend(e){for(const t in e)this._map[t]=e[t]}}class IdentityToUnicodeMap{constructor(e,t){this.firstChar=e;this.lastChar=t}get length(){return this.lastChar+1-this.firstChar}forEach(e){for(let t=this.firstChar,a=this.lastChar;t<=a;t++)e(t,t\
+)}has(e){return this.firstChar<=e&&e<=this.lastChar}get(e){if(this.firstChar<=e&&e<=this.lastChar)return String.fromCharCode(e)}charCodeOf(e){return Number.isInteger(e)&&e>=this.firstChar&&e<=this.lastChar?e:-1}amend(e){unreachable("Should not call amend()")}}class CFFFont{constructor(e,t){this.properties=t;const a=new CFFParser(e,t,Rr);this.cff=a.parse();this.cff.duplicateFirstGlyph();const r=new CFFCompiler(this.cff);this.seacs=this.cff.seacs;try{this.data=r.compile()}catch{warn("Failed to com\
+pile font "+t.loadedName);this.data=e}this._createBuiltInEncoding()}get numGlyphs(){return this.cff.charStrings.count}getCharset(){return this.cff.charset.charset}getGlyphMapping(){const e=this.cff,t=this.properties,{cidToGidMap:a,cMap:r}=t,i=e.charset.charset;let n,s;if(t.composite){let t,o;if(a?.length>0){t=Object.create(null);for(let e=0,r=a.length;e<r;e++){const r=a[e];void 0!==r&&(t[r]=e)}}n=Object.create(null);if(e.isCIDFont)for(s=0;s<i.length;s++){const e=i[s];o=r.charCodeOf(e);void 0!==t\
+?.[o]&&(o=t[o]);n[o]=s}else for(s=0;s<e.charStrings.count;s++){o=r.charCodeOf(s);n[o]=s}return n}let o=e.encoding?e.encoding.encoding:null;t.isInternalFont&&(o=t.defaultEncoding);n=type1FontGlyphMapping(t,o,i);return n}hasGlyphId(e){return this.cff.hasGlyphId(e)}_createBuiltInEncoding(){const{charset:e,encoding:t}=this.cff;if(!e||!t)return;const a=e.charset,r=t.encoding,i=[];for(const e in r){const t=r[e];if(t>=0){const r=a[t];r&&(i[e]=r)}}i.length>0&&(this.properties.builtInEncoding=i)}}functio\
+n getFloat214(e,t){return readInt16(e,t)/16384}function getSubroutineBias(e){const t=e.length;let a=32768;t<1240?a=107:t<33900&&(a=1131);return a}function parseCmap(e,t,a){const r=1===readUint16(e,t+2)?readUint32(e,t+8):readUint32(e,t+16),i=readUint16(e,t+r);let n,s,o;if(4===i){readUint16(e,t+r+2);const a=readUint16(e,t+r+6)>>1;s=t+r+14;n=[];for(o=0;o<a;o++,s+=2)n[o]={end:readUint16(e,s)};s+=2;for(o=0;o<a;o++,s+=2)n[o].start=readUint16(e,s);for(o=0;o<a;o++,s+=2)n[o].idDelta=readUint16(e,s);for(o\
+=0;o<a;o++,s+=2){let t=readUint16(e,s);if(0!==t){n[o].ids=[];for(let a=0,r=n[o].end-n[o].start+1;a<r;a++){n[o].ids[a]=readUint16(e,s+t);t+=2}}}return n}if(12===i){const a=readUint32(e,t+r+12);s=t+r+16;n=[];for(o=0;o<a;o++){t=readUint32(e,s);n.push({start:t,end:readUint32(e,s+4),idDelta:readUint32(e,s+8)-t});s+=12}return n}throw new FormatError(`unsupported cmap: ${i}`)}function parseCff(e,t,a,r){const i=new CFFParser(new Stream(e,t,a-t),{},r).parse();return{glyphs:i.charStrings.objects,subrs:i.t\
+opDict.privateDict?.subrsIndex?.objects,gsubrs:i.globalSubrIndex?.objects,isCFFCIDFont:i.isCIDFont,fdSelect:i.fdSelect,fdArray:i.fdArray}}function lookupCmap(e,t){const a=t.codePointAt(0);let r=0,i=0,n=e.length-1;for(;i<n;){const t=i+n+1>>1;a<e[t].start?n=t-1:i=t}e[i].start<=a&&a<=e[i].end&&(r=e[i].idDelta+(e[i].ids?e[i].ids[a-e[i].start]:a)&65535);return{charCode:a,glyphId:r}}function compileGlyf(e,t,a){function moveTo(e,a){s&&t.add("L",s);s=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L"\
+,[e,a])}function quadraticCurveTo(e,a,r,i){t.add("Q",[e,a,r,i])}let r=0;const i=readInt16(e,r);let n,s=null,o=0,c=0;r+=10;if(i<0)do{n=readUint16(e,r);const i=readUint16(e,r+2);r+=4;let s,l;if(1&n){if(2&n){s=readInt16(e,r);l=readInt16(e,r+2)}else{s=readUint16(e,r);l=readUint16(e,r+2)}r+=4}else if(2&n){s=readInt8(e,r++);l=readInt8(e,r++)}else{s=e[r++];l=e[r++]}if(2&n){o=s;c=l}else{o=0;c=0}let h=1,u=1,d=0,f=0;if(8&n){h=u=getFloat214(e,r);r+=2}else if(64&n){h=getFloat214(e,r);u=getFloat214(e,r+2);r+\
+=4}else if(128&n){h=getFloat214(e,r);d=getFloat214(e,r+2);f=getFloat214(e,r+4);u=getFloat214(e,r+6);r+=8}const g=a.glyphs[i];if(g){t.save();t.transform([h,d,f,u,o,c]);compileGlyf(g,t,a);t.restore()}}while(32&n);else{const t=[];let a,s;for(a=0;a<i;a++){t.push(readUint16(e,r));r+=2}r+=2+readUint16(e,r);const l=t.at(-1)+1,h=[];for(;h.length<l;){n=e[r++];let t=1;8&n&&(t+=e[r++]);for(;t-- >0;)h.push({flags:n})}for(a=0;a<l;a++){switch(18&h[a].flags){case 0:o+=readInt16(e,r);r+=2;break;case 2:o-=e[r++]\
+;break;case 18:o+=e[r++]}h[a].x=o}for(a=0;a<l;a++){switch(36&h[a].flags){case 0:c+=readInt16(e,r);r+=2;break;case 4:c-=e[r++];break;case 36:c+=e[r++]}h[a].y=c}let u=0;for(r=0;r<i;r++){const e=t[r],i=h.slice(u,e+1);if(1&i[0].flags)i.push(i[0]);else if(1&i.at(-1).flags)i.unshift(i.at(-1));else{const e={flags:1,x:(i[0].x+i.at(-1).x)/2,y:(i[0].y+i.at(-1).y)/2};i.unshift(e);i.push(e)}moveTo(i[0].x,i[0].y);for(a=1,s=i.length;a<s;a++)if(1&i[a].flags)lineTo(i[a].x,i[a].y);else if(1&i[a+1].flags){quadrat\
+icCurveTo(i[a].x,i[a].y,i[a+1].x,i[a+1].y);a++}else quadraticCurveTo(i[a].x,i[a].y,(i[a].x+i[a+1].x)/2,(i[a].y+i[a+1].y)/2);u=e+1}}}function compileCharString(e,t,a,r){function moveTo(e,a){c&&t.add("L",c);c=[e,a];t.add("M",[e,a])}function lineTo(e,a){t.add("L",[e,a])}function bezierCurveTo(e,a,r,i,n,s){t.add("C",[e,a,r,i,n,s])}const i=[];let n=0,s=0,o=0,c=null;!function parse(e){let c=0;for(;c<e.length;){let l,h,u,d,f,g,p,m,b,y=!1,w=e[c++];switch(w){case 1:case 3:case 18:case 23:o+=i.length>>1;y\
+=!0;break;case 4:s+=i.pop();moveTo(n,s);y=!0;break;case 5:for(;i.length>0;){n+=i.shift();s+=i.shift();lineTo(n,s)}break;case 6:for(;i.length>0;){n+=i.shift();lineTo(n,s);if(0===i.length)break;s+=i.shift();lineTo(n,s)}break;case 7:for(;i.length>0;){s+=i.shift();lineTo(n,s);if(0===i.length)break;n+=i.shift();lineTo(n,s)}break;case 8:for(;i.length>0;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 10:m=i.pop();b=null;if(a.is\
+CFFCIDFont){const e=a.fdSelect.getFDIndex(r);if(e>=0&&e<a.fdArray.length){const t=a.fdArray[e];let r;t.privateDict?.subrsIndex&&(r=t.privateDict.subrsIndex.objects);if(r){m+=getSubroutineBias(r);b=r[m]}}else warn("Invalid fd index for glyph index.")}else b=a.subrs[m+a.subrsBias];b&&parse(b);break;case 11:return;case 12:w=e[c++];switch(w){case 34:l=n+i.shift();h=l+i.shift();f=s+i.shift();n=h+i.shift();bezierCurveTo(l,s,h,f,n,f);l=n+i.shift();h=l+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,s,n,s);\
+break;case 35:l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);i.pop();break;case 36:l=n+i.shift();f=s+i.shift();h=l+i.shift();g=f+i.shift();n=h+i.shift();bezierCurveTo(l,f,h,g,n,g);l=n+i.shift();h=l+i.shift();p=g+i.shift();n=h+i.shift();bezierCurveTo(l,g,h,p,n,s);break;case 37:const e=n,t=s;l=n+i.shift();u=s+i.shift();h=l+i.\
+shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d;Math.abs(n-e)>Math.abs(s-t)?n+=i.shift():s+=i.shift();bezierCurveTo(l,u,h,d,n,s);break;default:throw new FormatError(`unknown operator: 12 ${w}`)}break;case 14:if(i.length>=4){const e=i.pop(),r=i.pop();s=i.pop();n=i.pop();t.save();t.translate(n,s);let o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[e]]));compileCharString(a.glyphs[o.glyphId],t,a,o\
+.glyphId);t.restore();o=lookupCmap(a.cmap,String.fromCharCode(a.glyphNameMap[Ar[r]]));compileCharString(a.glyphs[o.glyphId],t,a,o.glyphId)}return;case 19:case 20:o+=i.length>>1;c+=o+7>>3;y=!0;break;case 21:s+=i.pop();n+=i.pop();moveTo(n,s);y=!0;break;case 22:n+=i.pop();moveTo(n,s);y=!0;break;case 24:for(;i.length>2;){l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}n+=i.shift();s+=i.shift();lineTo(n,s);break;case 25:for(;i.length>6;){\
+n+=i.shift();s+=i.shift();lineTo(n,s)}l=n+i.shift();u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+i.shift();bezierCurveTo(l,u,h,d,n,s);break;case 26:i.length%2&&(n+=i.shift());for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h;s=d+i.shift();bezierCurveTo(l,u,h,d,n,s)}break;case 27:i.length%2&&(s+=i.shift());for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d;bezierCurveTo(l,u,h,d,n,s)}break;case 28:i.push(readInt16(e,c));c+=2;break;cas\
+e 29:m=i.pop()+a.gsubrsBias;b=a.gsubrs[m];b&&parse(b);break;case 30:for(;i.length>0;){l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0===i.length)break;l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;case 31:for(;i.length>0;){l=n+i.shift();u=s;h=l+i.shift();d=u+i.shift();s=d+i.shift();n=h+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s);if(0==\
+=i.length)break;l=n;u=s+i.shift();h=l+i.shift();d=u+i.shift();n=h+i.shift();s=d+(1===i.length?i.shift():0);bezierCurveTo(l,u,h,d,n,s)}break;default:if(w<32)throw new FormatError(`unknown operator: ${w}`);if(w<247)i.push(w-139);else if(w<251)i.push(256*(w-247)+e[c++]+108);else if(w<255)i.push(256*-(w-251)-e[c++]-108);else{i.push((e[c]<<24|e[c+1]<<16|e[c+2]<<8|e[c+3])/65536);c+=4}}y&&(i.length=0)}}(e)}class Commands{cmds=[];transformStack=[];currentTransform=[1,0,0,1,0,0];add(e,t){if(t){const{curr\
+entTransform:a}=this;for(let e=0,r=t.length;e<r;e+=2)Util.applyTransform(t,a,e);this.cmds.push(`${e}${t.join(" ")}`)}else this.cmds.push(e)}transform(e){this.currentTransform=Util.transform(this.currentTransform,e)}translate(e,t){this.transform([1,0,0,1,e,t])}save(){this.transformStack.push(this.currentTransform.slice())}restore(){this.currentTransform=this.transformStack.pop()||[1,0,0,1,0,0]}getSVG(){return this.cmds.join("")}}class CompiledFont{constructor(e){this.fontMatrix=e;this.compiledGly\
+phs=Object.create(null);this.compiledCharCodeToGlyphId=Object.create(null)}getPathJs(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);let r,i=this.compiledGlyphs[a];if(void 0===i){try{i=this.compileGlyph(this.glyphs[a],a)}catch(e){i="";r=e}this.compiledGlyphs[a]=i}this.compiledCharCodeToGlyphId[t]??=a;if(r)throw r;return i}compileGlyph(e,a){if(!e?.length||14===e[0])return"";let r=this.fontMatrix;if(this.isCFFCIDFont){const e=this.fdSelect.getFDIndex(a);if(e>=0&&e<this.fdArray.length){r=thi\
+s.fdArray[e].getByName("FontMatrix")||t}else warn("Invalid fd index for glyph index.")}assert(isNumberArray(r,6),"Expected a valid fontMatrix.");const i=new Commands;i.transform(r.slice());this.compileGlyphImpl(e,i,a);i.add("Z");return i.getSVG()}compileGlyphImpl(){unreachable("Children classes should implement this.")}hasBuiltPath(e){const{charCode:t,glyphId:a}=lookupCmap(this.cmap,e);return void 0!==this.compiledGlyphs[a]&&void 0!==this.compiledCharCodeToGlyphId[t]}}class TrueTypeCompiled exte\
+nds CompiledFont{constructor(e,t,a){super(a||[488e-6,0,0,488e-6,0,0]);this.glyphs=e;this.cmap=t}compileGlyphImpl(e,t){compileGlyf(e,t,this)}}class Type2Compiled extends CompiledFont{constructor(e,t,a){super(a||[.001,0,0,.001,0,0]);this.glyphs=e.glyphs;this.gsubrs=e.gsubrs||[];this.subrs=e.subrs||[];this.cmap=t;this.glyphNameMap=Fr();this.gsubrsBias=getSubroutineBias(this.gsubrs);this.subrsBias=getSubroutineBias(this.subrs);this.isCFFCIDFont=e.isCFFCIDFont;this.fdSelect=e.fdSelect;this.fdArray=e.\
+fdArray}compileGlyphImpl(e,t,a){compileCharString(e,t,this,a)}}class FontRendererFactory{static create(e,t){const a=new Uint8Array(e.data);let r,i,n,s,o,c;const l=readUint16(a,4);for(let e=0,h=12;e<l;e++,h+=16){const e=bytesToString(a.subarray(h,h+4)),l=readUint32(a,h+8),u=readUint32(a,h+12);switch(e){case"cmap":r=parseCmap(a,l);break;case"glyf":i=a.subarray(l,l+u);break;case"loca":n=a.subarray(l,l+u);break;case"head":c=readUint16(a,l+18);o=readUint16(a,l+50);break;case"CFF ":s=parseCff(a,l,l+u,\
+t)}}if(i){const t=c?[1/c,0,0,1/c,0,0]:e.fontMatrix;return new TrueTypeCompiled(function parseGlyfTable(e,t,a){let r,i;if(a){r=4;i=readUint32}else{r=2;i=(e,t)=>2*readUint16(e,t)}const n=[];let s=i(t,0);for(let a=r;a<t.length;a+=r){const r=i(t,a);n.push(e.subarray(s,r));s=r}return n}(i,n,o),r,t)}return new Type2Compiled(s,r,e.fontMatrix)}}const ii=getLookupTableFactory((function(e){e.Courier=600;e["Courier-Bold"]=600;e["Courier-BoldOblique"]=600;e["Courier-Oblique"]=600;e.Helvetica=getLookupTableF\
+actory((function(e){e.space=278;e.exclam=278;e.quotedbl=355;e.numbersign=556;e.dollar=556;e.percent=889;e.ampersand=667;e.quoteright=222;e.parenleft=333;e.parenright=333;e.asterisk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=556;e.two=556;e.three=556;e.four=556;e.five=556;e.six=556;e.seven=556;e.eight=556;e.nine=556;e.colon=278;e.semicolon=278;e.less=584;e.equal=584;e.greater=584;e.question=556;e.at=1015;e.A=667;e.B=667;e.C=722;e.D=722;e.E=667;e.F=611;e.G=77\
+8;e.H=722;e.I=278;e.J=500;e.K=667;e.L=556;e.M=833;e.N=722;e.O=778;e.P=667;e.Q=778;e.R=722;e.S=667;e.T=611;e.U=722;e.V=667;e.W=944;e.X=667;e.Y=667;e.Z=611;e.bracketleft=278;e.backslash=278;e.bracketright=278;e.asciicircum=469;e.underscore=556;e.quoteleft=222;e.a=556;e.b=556;e.c=500;e.d=556;e.e=556;e.f=278;e.g=556;e.h=556;e.i=222;e.j=222;e.k=500;e.l=222;e.m=833;e.n=556;e.o=556;e.p=556;e.q=556;e.r=333;e.s=500;e.t=278;e.u=556;e.v=500;e.w=722;e.x=500;e.y=500;e.z=500;e.braceleft=334;e.bar=260;e.bracer\
+ight=334;e.asciitilde=584;e.exclamdown=333;e.cent=556;e.sterling=556;e.fraction=167;e.yen=556;e.florin=556;e.section=556;e.currency=556;e.quotesingle=191;e.quotedblleft=333;e.guillemotleft=556;e.guilsinglleft=333;e.guilsinglright=333;e.fi=500;e.fl=500;e.endash=556;e.dagger=556;e.daggerdbl=556;e.periodcentered=278;e.paragraph=537;e.bullet=350;e.quotesinglbase=222;e.quotedblbase=333;e.quotedblright=333;e.guillemotright=556;e.ellipsis=1e3;e.perthousand=1e3;e.questiondown=611;e.grave=333;e.acute=333\
+;e.circumflex=333;e.tilde=333;e.macron=333;e.breve=333;e.dotaccent=333;e.dieresis=333;e.ring=333;e.cedilla=333;e.hungarumlaut=333;e.ogonek=333;e.caron=333;e.emdash=1e3;e.AE=1e3;e.ordfeminine=370;e.Lslash=556;e.Oslash=778;e.OE=1e3;e.ordmasculine=365;e.ae=889;e.dotlessi=278;e.lslash=222;e.oslash=611;e.oe=944;e.germandbls=611;e.Idieresis=278;e.eacute=556;e.abreve=556;e.uhungarumlaut=556;e.ecaron=556;e.Ydieresis=667;e.divide=584;e.Yacute=667;e.Acircumflex=667;e.aacute=556;e.Ucircumflex=722;e.yacute=\
+500;e.scommaaccent=500;e.ecircumflex=556;e.Uring=722;e.Udieresis=722;e.aogonek=556;e.Uacute=722;e.uogonek=556;e.Edieresis=667;e.Dcroat=722;e.commaaccent=250;e.copyright=737;e.Emacron=667;e.ccaron=500;e.aring=556;e.Ncommaaccent=722;e.lacute=222;e.agrave=556;e.Tcommaaccent=611;e.Cacute=722;e.atilde=556;e.Edotaccent=667;e.scaron=500;e.scedilla=500;e.iacute=278;e.lozenge=471;e.Rcaron=722;e.Gcommaaccent=778;e.ucircumflex=556;e.acircumflex=556;e.Amacron=667;e.rcaron=333;e.ccedilla=500;e.Zdotaccent=611\
+;e.Thorn=667;e.Omacron=778;e.Racute=722;e.Sacute=667;e.dcaron=643;e.Umacron=722;e.uring=556;e.threesuperior=333;e.Ograve=778;e.Agrave=667;e.Abreve=667;e.multiply=584;e.uacute=556;e.Tcaron=611;e.partialdiff=476;e.ydieresis=500;e.Nacute=722;e.icircumflex=278;e.Ecircumflex=667;e.adieresis=556;e.edieresis=556;e.cacute=500;e.nacute=556;e.umacron=556;e.Ncaron=722;e.Iacute=278;e.plusminus=584;e.brokenbar=260;e.registered=737;e.Gbreve=778;e.Idotaccent=278;e.summation=600;e.Egrave=667;e.racute=333;e.omac\
+ron=556;e.Zacute=611;e.Zcaron=611;e.greaterequal=549;e.Eth=722;e.Ccedilla=722;e.lcommaaccent=222;e.tcaron=317;e.eogonek=556;e.Uogonek=722;e.Aacute=667;e.Adieresis=667;e.egrave=556;e.zacute=500;e.iogonek=222;e.Oacute=778;e.oacute=556;e.amacron=556;e.sacute=500;e.idieresis=278;e.Ocircumflex=778;e.Ugrave=722;e.Delta=612;e.thorn=556;e.twosuperior=333;e.Odieresis=778;e.mu=556;e.igrave=278;e.ohungarumlaut=556;e.Eogonek=667;e.dcroat=556;e.threequarters=834;e.Scedilla=667;e.lcaron=299;e.Kcommaaccent=667\
+;e.Lacute=556;e.trademark=1e3;e.edotaccent=556;e.Igrave=278;e.Imacron=278;e.Lcaron=556;e.onehalf=834;e.lessequal=549;e.ocircumflex=556;e.ntilde=556;e.Uhungarumlaut=722;e.Eacute=667;e.emacron=556;e.gbreve=556;e.onequarter=834;e.Scaron=667;e.Scommaaccent=667;e.Ohungarumlaut=778;e.degree=400;e.ograve=556;e.Ccaron=722;e.ugrave=556;e.radical=453;e.Dcaron=722;e.rcommaaccent=333;e.Ntilde=722;e.otilde=556;e.Rcommaaccent=722;e.Lcommaaccent=556;e.Atilde=667;e.Aogonek=667;e.Aring=667;e.Otilde=778;e.zdotacc\
+ent=500;e.Ecaron=667;e.Iogonek=278;e.kcommaaccent=500;e.minus=584;e.Icircumflex=278;e.ncaron=556;e.tcommaaccent=278;e.logicalnot=584;e.odieresis=556;e.udieresis=556;e.notequal=549;e.gcommaaccent=556;e.eth=556;e.zcaron=500;e.ncommaaccent=556;e.onesuperior=333;e.imacron=278;e.Euro=556}));e["Helvetica-Bold"]=getLookupTableFactory((function(e){e.space=278;e.exclam=333;e.quotedbl=474;e.numbersign=556;e.dollar=556;e.percent=889;e.ampersand=722;e.quoteright=278;e.parenleft=333;e.parenright=333;e.asteri\
+sk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=556;e.two=556;e.three=556;e.four=556;e.five=556;e.six=556;e.seven=556;e.eight=556;e.nine=556;e.colon=333;e.semicolon=333;e.less=584;e.equal=584;e.greater=584;e.question=611;e.at=975;e.A=722;e.B=722;e.C=722;e.D=722;e.E=667;e.F=611;e.G=778;e.H=722;e.I=278;e.J=556;e.K=722;e.L=611;e.M=833;e.N=722;e.O=778;e.P=667;e.Q=778;e.R=722;e.S=667;e.T=611;e.U=722;e.V=667;e.W=944;e.X=667;e.Y=667;e.Z=611;e.bracketleft=333;e.backs\
+lash=278;e.bracketright=333;e.asciicircum=584;e.underscore=556;e.quoteleft=278;e.a=556;e.b=611;e.c=556;e.d=611;e.e=556;e.f=333;e.g=611;e.h=611;e.i=278;e.j=278;e.k=556;e.l=278;e.m=889;e.n=611;e.o=611;e.p=611;e.q=611;e.r=389;e.s=556;e.t=333;e.u=611;e.v=556;e.w=778;e.x=556;e.y=556;e.z=500;e.braceleft=389;e.bar=280;e.braceright=389;e.asciitilde=584;e.exclamdown=333;e.cent=556;e.sterling=556;e.fraction=167;e.yen=556;e.florin=556;e.section=556;e.currency=556;e.quotesingle=238;e.quotedblleft=500;e.guil\
+lemotleft=556;e.guilsinglleft=333;e.guilsinglright=333;e.fi=611;e.fl=611;e.endash=556;e.dagger=556;e.daggerdbl=556;e.periodcentered=278;e.paragraph=556;e.bullet=350;e.quotesinglbase=278;e.quotedblbase=500;e.quotedblright=500;e.guillemotright=556;e.ellipsis=1e3;e.perthousand=1e3;e.questiondown=611;e.grave=333;e.acute=333;e.circumflex=333;e.tilde=333;e.macron=333;e.breve=333;e.dotaccent=333;e.dieresis=333;e.ring=333;e.cedilla=333;e.hungarumlaut=333;e.ogonek=333;e.caron=333;e.emdash=1e3;e.AE=1e3;e.\
+ordfeminine=370;e.Lslash=611;e.Oslash=778;e.OE=1e3;e.ordmasculine=365;e.ae=889;e.dotlessi=278;e.lslash=278;e.oslash=611;e.oe=944;e.germandbls=611;e.Idieresis=278;e.eacute=556;e.abreve=556;e.uhungarumlaut=611;e.ecaron=556;e.Ydieresis=667;e.divide=584;e.Yacute=667;e.Acircumflex=722;e.aacute=556;e.Ucircumflex=722;e.yacute=556;e.scommaaccent=556;e.ecircumflex=556;e.Uring=722;e.Udieresis=722;e.aogonek=556;e.Uacute=722;e.uogonek=611;e.Edieresis=667;e.Dcroat=722;e.commaaccent=250;e.copyright=737;e.Emac\
+ron=667;e.ccaron=556;e.aring=556;e.Ncommaaccent=722;e.lacute=278;e.agrave=556;e.Tcommaaccent=611;e.Cacute=722;e.atilde=556;e.Edotaccent=667;e.scaron=556;e.scedilla=556;e.iacute=278;e.lozenge=494;e.Rcaron=722;e.Gcommaaccent=778;e.ucircumflex=611;e.acircumflex=556;e.Amacron=722;e.rcaron=389;e.ccedilla=556;e.Zdotaccent=611;e.Thorn=667;e.Omacron=778;e.Racute=722;e.Sacute=667;e.dcaron=743;e.Umacron=722;e.uring=611;e.threesuperior=333;e.Ograve=778;e.Agrave=722;e.Abreve=722;e.multiply=584;e.uacute=611;\
+e.Tcaron=611;e.partialdiff=494;e.ydieresis=556;e.Nacute=722;e.icircumflex=278;e.Ecircumflex=667;e.adieresis=556;e.edieresis=556;e.cacute=556;e.nacute=611;e.umacron=611;e.Ncaron=722;e.Iacute=278;e.plusminus=584;e.brokenbar=280;e.registered=737;e.Gbreve=778;e.Idotaccent=278;e.summation=600;e.Egrave=667;e.racute=389;e.omacron=611;e.Zacute=611;e.Zcaron=611;e.greaterequal=549;e.Eth=722;e.Ccedilla=722;e.lcommaaccent=278;e.tcaron=389;e.eogonek=556;e.Uogonek=722;e.Aacute=722;e.Adieresis=722;e.egrave=556\
+;e.zacute=500;e.iogonek=278;e.Oacute=778;e.oacute=611;e.amacron=556;e.sacute=556;e.idieresis=278;e.Ocircumflex=778;e.Ugrave=722;e.Delta=612;e.thorn=611;e.twosuperior=333;e.Odieresis=778;e.mu=611;e.igrave=278;e.ohungarumlaut=611;e.Eogonek=667;e.dcroat=611;e.threequarters=834;e.Scedilla=667;e.lcaron=400;e.Kcommaaccent=722;e.Lacute=611;e.trademark=1e3;e.edotaccent=556;e.Igrave=278;e.Imacron=278;e.Lcaron=611;e.onehalf=834;e.lessequal=549;e.ocircumflex=611;e.ntilde=611;e.Uhungarumlaut=722;e.Eacute=66\
+7;e.emacron=556;e.gbreve=611;e.onequarter=834;e.Scaron=667;e.Scommaaccent=667;e.Ohungarumlaut=778;e.degree=400;e.ograve=611;e.Ccaron=722;e.ugrave=611;e.radical=549;e.Dcaron=722;e.rcommaaccent=389;e.Ntilde=722;e.otilde=611;e.Rcommaaccent=722;e.Lcommaaccent=611;e.Atilde=722;e.Aogonek=722;e.Aring=722;e.Otilde=778;e.zdotaccent=500;e.Ecaron=667;e.Iogonek=278;e.kcommaaccent=556;e.minus=584;e.Icircumflex=278;e.ncaron=611;e.tcommaaccent=333;e.logicalnot=584;e.odieresis=611;e.udieresis=611;e.notequal=549\
+;e.gcommaaccent=611;e.eth=611;e.zcaron=500;e.ncommaaccent=611;e.onesuperior=333;e.imacron=278;e.Euro=556}));e["Helvetica-BoldOblique"]=getLookupTableFactory((function(e){e.space=278;e.exclam=333;e.quotedbl=474;e.numbersign=556;e.dollar=556;e.percent=889;e.ampersand=722;e.quoteright=278;e.parenleft=333;e.parenright=333;e.asterisk=389;e.plus=584;e.comma=278;e.hyphen=333;e.period=278;e.slash=278;e.zero=556;e.one=556;e.two=556;e.three=556;e.four=556;e.five=556;e.six=556;e.seven=556;e.eight=556;e.nin\
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+lex=500;e.acircumflex=500;e.Amacron=611;e.rcaron=389;e.ccedilla=444;e.Zdotaccent=556;e.Thorn=611;e.Omacron=722;e.Racute=611;e.Sacute=500;e.dcaron=544;e.Umacron=722;e.uring=500;e.threesuperior=300;e.Ograve=722;e.Agrave=611;e.Abreve=611;e.multiply=675;e.uacute=500;e.Tcaron=556;e.partialdiff=476;e.ydieresis=444;e.Nacute=667;e.icircumflex=278;e.Ecircumflex=611;e.adieresis=500;e.edieresis=444;e.cacute=444;e.nacute=500;e.umacron=500;e.Ncaron=667;e.Iacute=333;e.plusminus=675;e.brokenbar=275;e.registere\
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+=611;e.dcroat=500;e.threequarters=750;e.Scedilla=500;e.lcaron=300;e.Kcommaaccent=667;e.Lacute=556;e.trademark=980;e.edotaccent=444;e.Igrave=333;e.Imacron=333;e.Lcaron=611;e.onehalf=750;e.lessequal=549;e.ocircumflex=500;e.ntilde=500;e.Uhungarumlaut=722;e.Eacute=611;e.emacron=444;e.gbreve=500;e.onequarter=750;e.Scaron=500;e.Scommaaccent=500;e.Ohungarumlaut=722;e.degree=400;e.ograve=500;e.Ccaron=667;e.ugrave=500;e.radical=453;e.Dcaron=722;e.rcommaaccent=389;e.Ntilde=667;e.otilde=500;e.Rcommaaccent=\
+611;e.Lcommaaccent=556;e.Atilde=611;e.Aogonek=611;e.Aring=611;e.Otilde=722;e.zdotaccent=389;e.Ecaron=611;e.Iogonek=333;e.kcommaaccent=444;e.minus=675;e.Icircumflex=333;e.ncaron=500;e.tcommaaccent=278;e.logicalnot=675;e.odieresis=500;e.udieresis=500;e.notequal=549;e.gcommaaccent=500;e.eth=500;e.zcaron=389;e.ncommaaccent=500;e.onesuperior=300;e.imacron=278;e.Euro=500}));e.ZapfDingbats=getLookupTableFactory((function(e){e.space=278;e.a1=974;e.a2=961;e.a202=974;e.a3=980;e.a4=719;e.a5=789;e.a119=790;\
+e.a118=791;e.a117=690;e.a11=960;e.a12=939;e.a13=549;e.a14=855;e.a15=911;e.a16=933;e.a105=911;e.a17=945;e.a18=974;e.a19=755;e.a20=846;e.a21=762;e.a22=761;e.a23=571;e.a24=677;e.a25=763;e.a26=760;e.a27=759;e.a28=754;e.a6=494;e.a7=552;e.a8=537;e.a9=577;e.a10=692;e.a29=786;e.a30=788;e.a31=788;e.a32=790;e.a33=793;e.a34=794;e.a35=816;e.a36=823;e.a37=789;e.a38=841;e.a39=823;e.a40=833;e.a41=816;e.a42=831;e.a43=923;e.a44=744;e.a45=723;e.a46=749;e.a47=790;e.a48=792;e.a49=695;e.a50=776;e.a51=768;e.a52=792;e\
+.a53=759;e.a54=707;e.a55=708;e.a56=682;e.a57=701;e.a58=826;e.a59=815;e.a60=789;e.a61=789;e.a62=707;e.a63=687;e.a64=696;e.a65=689;e.a66=786;e.a67=787;e.a68=713;e.a69=791;e.a70=785;e.a71=791;e.a72=873;e.a73=761;e.a74=762;e.a203=762;e.a75=759;e.a204=759;e.a76=892;e.a77=892;e.a78=788;e.a79=784;e.a81=438;e.a82=138;e.a83=277;e.a84=415;e.a97=392;e.a98=392;e.a99=668;e.a100=668;e.a89=390;e.a90=390;e.a93=317;e.a94=317;e.a91=276;e.a92=276;e.a205=509;e.a85=509;e.a206=410;e.a86=410;e.a87=234;e.a88=234;e.a95=\
+334;e.a96=334;e.a101=732;e.a102=544;e.a103=544;e.a104=910;e.a106=667;e.a107=760;e.a108=760;e.a112=776;e.a111=595;e.a110=694;e.a109=626;e.a120=788;e.a121=788;e.a122=788;e.a123=788;e.a124=788;e.a125=788;e.a126=788;e.a127=788;e.a128=788;e.a129=788;e.a130=788;e.a131=788;e.a132=788;e.a133=788;e.a134=788;e.a135=788;e.a136=788;e.a137=788;e.a138=788;e.a139=788;e.a140=788;e.a141=788;e.a142=788;e.a143=788;e.a144=788;e.a145=788;e.a146=788;e.a147=788;e.a148=788;e.a149=788;e.a150=788;e.a151=788;e.a152=788;e.\
+a153=788;e.a154=788;e.a155=788;e.a156=788;e.a157=788;e.a158=788;e.a159=788;e.a160=894;e.a161=838;e.a163=1016;e.a164=458;e.a196=748;e.a165=924;e.a192=748;e.a166=918;e.a167=927;e.a168=928;e.a169=928;e.a170=834;e.a171=873;e.a172=828;e.a173=924;e.a162=924;e.a174=917;e.a175=930;e.a176=931;e.a177=463;e.a178=883;e.a179=836;e.a193=836;e.a180=867;e.a199=867;e.a181=696;e.a200=696;e.a182=874;e.a201=874;e.a183=760;e.a184=946;e.a197=771;e.a185=865;e.a194=771;e.a198=888;e.a186=967;e.a195=888;e.a187=831;e.a188\
+=873;e.a189=927;e.a190=970;e.a191=918}))})),ni=getLookupTableFactory((function(e){e.Courier={ascent:629,descent:-157,capHeight:562,xHeight:-426};e["Courier-Bold"]={ascent:629,descent:-157,capHeight:562,xHeight:439};e["Courier-Oblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e["Courier-BoldOblique"]={ascent:629,descent:-157,capHeight:562,xHeight:426};e.Helvetica={ascent:718,descent:-207,capHeight:718,xHeight:523};e["Helvetica-Bold"]={ascent:718,descent:-207,capHeight:718,xHeight:532}\
+;e["Helvetica-Oblique"]={ascent:718,descent:-207,capHeight:718,xHeight:523};e["Helvetica-BoldOblique"]={ascent:718,descent:-207,capHeight:718,xHeight:532};e["Times-Roman"]={ascent:683,descent:-217,capHeight:662,xHeight:450};e["Times-Bold"]={ascent:683,descent:-217,capHeight:676,xHeight:461};e["Times-Italic"]={ascent:683,descent:-217,capHeight:653,xHeight:441};e["Times-BoldItalic"]={ascent:683,descent:-217,capHeight:669,xHeight:462};e.Symbol={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xH\
+eight:Math.NaN};e.ZapfDingbats={ascent:Math.NaN,descent:Math.NaN,capHeight:Math.NaN,xHeight:Math.NaN}}));class GlyfTable{constructor({glyfTable:e,isGlyphLocationsLong:t,locaTable:a,numGlyphs:r}){this.glyphs=[];const i=new DataView(a.buffer,a.byteOffset,a.byteLength),n=new DataView(e.buffer,e.byteOffset,e.byteLength),s=t?4:2;let o=t?i.getUint32(0):2*i.getUint16(0),c=0;for(let e=0;e<r;e++){c+=s;const e=t?i.getUint32(c):2*i.getUint16(c);if(e===o){this.glyphs.push(new Glyph({}));continue}const a=Gly\
+ph.parse(o,n);this.glyphs.push(a);o=e}}getSize(){return Math.sumPrecise(this.glyphs.map((e=>e.getSize()+3&-4)))}write(){const e=this.getSize(),t=new DataView(new ArrayBuffer(e)),a=e>131070,r=a?4:2,i=new DataView(new ArrayBuffer((this.glyphs.length+1)*r));a?i.setUint32(0,0):i.setUint16(0,0);let n=0,s=0;for(const e of this.glyphs){n+=e.write(n,t);n=n+3&-4;s+=r;a?i.setUint32(s,n):i.setUint16(s,n>>1)}return{isLocationLong:a,loca:new Uint8Array(i.buffer),glyf:new Uint8Array(t.buffer)}}scale(e){for(le\
+t t=0,a=this.glyphs.length;t<a;t++)this.glyphs[t].scale(e[t])}}class Glyph{constructor({header:e=null,simple:t=null,composites:a=null}){this.header=e;this.simple=t;this.composites=a}static parse(e,t){const[a,r]=GlyphHeader.parse(e,t);e+=a;if(r.numberOfContours<0){const a=[];for(;;){const[r,i]=CompositeGlyph.parse(e,t);e+=r;a.push(i);if(!(32&i.flags))break}return new Glyph({header:r,composites:a})}const i=SimpleGlyph.parse(e,t,r.numberOfContours);return new Glyph({header:r,simple:i})}getSize(){if\
+(!this.header)return 0;const e=this.simple?this.simple.getSize():Math.sumPrecise(this.composites.map((e=>e.getSize())));return this.header.getSize()+e}write(e,t){if(!this.header)return 0;const a=e;e+=this.header.write(e,t);if(this.simple)e+=this.simple.write(e,t);else for(const a of this.composites)e+=a.write(e,t);return e-a}scale(e){if(!this.header)return;const t=(this.header.xMin+this.header.xMax)/2;this.header.scale(t,e);if(this.simple)this.simple.scale(t,e);else for(const a of this.composite\
+s)a.scale(t,e)}}class GlyphHeader{constructor({numberOfContours:e,xMin:t,yMin:a,xMax:r,yMax:i}){this.numberOfContours=e;this.xMin=t;this.yMin=a;this.xMax=r;this.yMax=i}static parse(e,t){return[10,new GlyphHeader({numberOfContours:t.getInt16(e),xMin:t.getInt16(e+2),yMin:t.getInt16(e+4),xMax:t.getInt16(e+6),yMax:t.getInt16(e+8)})]}getSize(){return 10}write(e,t){t.setInt16(e,this.numberOfContours);t.setInt16(e+2,this.xMin);t.setInt16(e+4,this.yMin);t.setInt16(e+6,this.xMax);t.setInt16(e+8,this.yMax\
+);return 10}scale(e,t){this.xMin=Math.round(e+(this.xMin-e)*t);this.xMax=Math.round(e+(this.xMax-e)*t)}}class Contour{constructor({flags:e,xCoordinates:t,yCoordinates:a}){this.xCoordinates=t;this.yCoordinates=a;this.flags=e}}class SimpleGlyph{constructor({contours:e,instructions:t}){this.contours=e;this.instructions=t}static parse(e,t,a){const r=[];for(let i=0;i<a;i++){const a=t.getUint16(e);e+=2;r.push(a)}const i=r[a-1]+1,n=t.getUint16(e);e+=2;const s=new Uint8Array(t).slice(e,e+n);e+=n;const o\
+=[];for(let a=0;a<i;e++,a++){let r=t.getUint8(e);o.push(r);if(8&r){const i=t.getUint8(++e);r^=8;for(let e=0;e<i;e++)o.push(r);a+=i}}const c=[];let l=[],h=[],u=[];const d=[];let f=0,g=0;for(let a=0;a<i;a++){const i=o[a];if(2&i){const a=t.getUint8(e++);g+=16&i?a:-a;l.push(g)}else if(16&i)l.push(g);else{g+=t.getInt16(e);e+=2;l.push(g)}if(r[f]===a){f++;c.push(l);l=[]}}g=0;f=0;for(let a=0;a<i;a++){const i=o[a];if(4&i){const a=t.getUint8(e++);g+=32&i?a:-a;h.push(g)}else if(32&i)h.push(g);else{g+=t.get\
+Int16(e);e+=2;h.push(g)}u.push(1&i|64&i);if(r[f]===a){l=c[f];f++;d.push(new Contour({flags:u,xCoordinates:l,yCoordinates:h}));h=[];u=[]}}return new SimpleGlyph({contours:d,instructions:s})}getSize(){let e=2*this.contours.length+2+this.instructions.length,t=0,a=0;for(const r of this.contours){e+=r.flags.length;for(let i=0,n=r.xCoordinates.length;i<n;i++){const n=r.xCoordinates[i],s=r.yCoordinates[i];let o=Math.abs(n-t);o>255?e+=2:o>0&&(e+=1);t=n;o=Math.abs(s-a);o>255?e+=2:o>0&&(e+=1);a=s}}return \
+e}write(e,t){const a=e,r=[],i=[],n=[];let s=0,o=0;for(const a of this.contours){for(let e=0,t=a.xCoordinates.length;e<t;e++){let t=a.flags[e];const c=a.xCoordinates[e];let l=c-s;if(0===l){t|=16;r.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?18:2;r.push(e)}else r.push(l)}s=c;const h=a.yCoordinates[e];l=h-o;if(0===l){t|=32;i.push(0)}else{const e=Math.abs(l);if(e<=255){t|=l>=0?36:4;i.push(e)}else i.push(l)}o=h;n.push(t)}t.setUint16(e,r.length-1);e+=2}t.setUint16(e,this.instructions.length);e\
++=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}for(const a of n)t.setUint8(e++,a);for(let a=0,i=r.length;a<i;a++){const i=r[a],s=n[a];if(2&s)t.setUint8(e++,i);else if(!(16&s)){t.setInt16(e,i);e+=2}}for(let a=0,r=i.length;a<r;a++){const r=i[a],s=n[a];if(4&s)t.setUint8(e++,r);else if(!(32&s)){t.setInt16(e,r);e+=2}}return e-a}scale(e,t){for(const a of this.contours)if(0!==a.xCoordinates.length)for(let r=0,i=a.xCoo\
+rdinates.length;r<i;r++)a.xCoordinates[r]=Math.round(e+(a.xCoordinates[r]-e)*t)}}class CompositeGlyph{constructor({flags:e,glyphIndex:t,argument1:a,argument2:r,transf:i,instructions:n}){this.flags=e;this.glyphIndex=t;this.argument1=a;this.argument2=r;this.transf=i;this.instructions=n}static parse(e,t){const a=e,r=[];let i=t.getUint16(e);const n=t.getUint16(e+2);e+=4;let s,o;if(1&i){if(2&i){s=t.getInt16(e);o=t.getInt16(e+2)}else{s=t.getUint16(e);o=t.getUint16(e+2)}e+=4;i^=1}else{if(2&i){s=t.getIn\
+t8(e);o=t.getInt8(e+1)}else{s=t.getUint8(e);o=t.getUint8(e+1)}e+=2}if(8&i){r.push(t.getUint16(e));e+=2}else if(64&i){r.push(t.getUint16(e),t.getUint16(e+2));e+=4}else if(128&i){r.push(t.getUint16(e),t.getUint16(e+2),t.getUint16(e+4),t.getUint16(e+6));e+=8}let c=null;if(256&i){const a=t.getUint16(e);e+=2;c=new Uint8Array(t).slice(e,e+a);e+=a}return[e-a,new CompositeGlyph({flags:i,glyphIndex:n,argument1:s,argument2:o,transf:r,instructions:c})]}getSize(){let e=4+2*this.transf.length;256&this.flags&\
+&(e+=2+this.instructions.length);e+=2;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(e+=2):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(e+=2);return e}write(e,t){const a=e;2&this.flags?this.argument1>=-128&&this.argument1<=127&&this.argument2>=-128&&this.argument2<=127||(this.flags|=1):this.argument1>=0&&this.argument1<=255&&this.argument2>=0&&this.argument2<=255||(this.flags|=1);t.setUint16(e,this.flags);t.\
+setUint16(e+2,this.glyphIndex);e+=4;if(1&this.flags){if(2&this.flags){t.setInt16(e,this.argument1);t.setInt16(e+2,this.argument2)}else{t.setUint16(e,this.argument1);t.setUint16(e+2,this.argument2)}e+=4}else{t.setUint8(e,this.argument1);t.setUint8(e+1,this.argument2);e+=2}if(256&this.flags){t.setUint16(e,this.instructions.length);e+=2;if(this.instructions.length){new Uint8Array(t.buffer,0,t.buffer.byteLength).set(this.instructions,e);e+=this.instructions.length}}return e-a}scale(e,t){}}function w\
+riteInt16(e,t,a){e[t]=a>>8&255;e[t+1]=255&a}function writeInt32(e,t,a){e[t]=a>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}function writeData(e,t,a){if(a instanceof Uint8Array)e.set(a,t);else if("string"==typeof a)for(let r=0,i=a.length;r<i;r++)e[t++]=255&a.charCodeAt(r);else for(const r of a)e[t++]=255&r}class OpenTypeFileBuilder{constructor(e){this.sfnt=e;this.tables=Object.create(null)}static getSearchParams(e,t){let a=1,r=0;for(;(a^e)>a;){a<<=1;r++}const i=a*t;return{range:i,entry:r\
+,rangeShift:t*e-i}}toArray(){let e=this.sfnt;const t=this.tables,a=Object.keys(t);a.sort();const r=a.length;let i,n,s,o,c,l=12+16*r;const h=[l];for(i=0;i<r;i++){o=t[a[i]];l+=(o.length+3&-4)>>>0;h.push(l)}const u=new Uint8Array(l);for(i=0;i<r;i++){o=t[a[i]];writeData(u,h[i],o)}"true"===e&&(e=string32(65536));u[0]=255&e.charCodeAt(0);u[1]=255&e.charCodeAt(1);u[2]=255&e.charCodeAt(2);u[3]=255&e.charCodeAt(3);writeInt16(u,4,r);const d=OpenTypeFileBuilder.getSearchParams(r,16);writeInt16(u,6,d.range)\
+;writeInt16(u,8,d.entry);writeInt16(u,10,d.rangeShift);l=12;for(i=0;i<r;i++){c=a[i];u[l]=255&c.charCodeAt(0);u[l+1]=255&c.charCodeAt(1);u[l+2]=255&c.charCodeAt(2);u[l+3]=255&c.charCodeAt(3);let e=0;for(n=h[i],s=h[i+1];n<s;n+=4){e=e+readUint32(u,n)>>>0}writeInt32(u,l+4,e);writeInt32(u,l+8,h[i]);writeInt32(u,l+12,t[c].length);l+=16}return u}addTable(e,t){if(e in this.tables)throw new Error("Table "+e+" already exists");this.tables[e]=t}}const si=[4],oi=[5],ci=[6],li=[7],hi=[8],ui=[12,35],di=[14],f\
+i=[21],gi=[22],pi=[30],mi=[31];class Type1CharString{constructor(){this.width=0;this.lsb=0;this.flexing=!1;this.output=[];this.stack=[]}convert(e,t,a){const r=e.length;let i,n,s,o=!1;for(let c=0;c<r;c++){let r=e[c];if(r<32){12===r&&(r=(r<<8)+e[++c]);switch(r){case 1:case 3:case 9:case 3072:case 3073:case 3074:case 3105:this.stack=[];break;case 4:if(this.flexing){if(this.stack.length<1){o=!0;break}const e=this.stack.pop();this.stack.push(0,e);break}o=this.executeCommand(1,si);break;case 5:o=this.\
+executeCommand(2,oi);break;case 6:o=this.executeCommand(1,ci);break;case 7:o=this.executeCommand(1,li);break;case 8:o=this.executeCommand(6,hi);break;case 10:if(this.stack.length<1){o=!0;break}s=this.stack.pop();if(!t[s]){o=!0;break}o=this.convert(t[s],t,a);break;case 11:return o;case 13:if(this.stack.length<2){o=!0;break}i=this.stack.pop();n=this.stack.pop();this.lsb=n;this.width=i;this.stack.push(i,n);o=this.executeCommand(2,gi);break;case 14:this.output.push(di[0]);break;case 21:if(this.flexi\
+ng)break;o=this.executeCommand(2,fi);break;case 22:if(this.flexing){this.stack.push(0);break}o=this.executeCommand(1,gi);break;case 30:o=this.executeCommand(4,pi);break;case 31:o=this.executeCommand(4,mi);break;case 3078:if(a){const e=this.stack.at(-5);this.seac=this.stack.splice(-4,4);this.seac[0]+=this.lsb-e;o=this.executeCommand(0,di)}else o=this.executeCommand(4,di);break;case 3079:if(this.stack.length<4){o=!0;break}this.stack.pop();i=this.stack.pop();const e=this.stack.pop();n=this.stack.po\
+p();this.lsb=n;this.width=i;this.stack.push(i,n,e);o=this.executeCommand(3,fi);break;case 3084:if(this.stack.length<2){o=!0;break}const c=this.stack.pop(),l=this.stack.pop();this.stack.push(l/c);break;case 3088:if(this.stack.length<2){o=!0;break}s=this.stack.pop();const h=this.stack.pop();if(0===s&&3===h){const e=this.stack.splice(-17,17);this.stack.push(e[2]+e[0],e[3]+e[1],e[4],e[5],e[6],e[7],e[8],e[9],e[10],e[11],e[12],e[13],e[14]);o=this.executeCommand(13,ui,!0);this.flexing=!1;this.stack.pus\
+h(e[15],e[16])}else 1===s&&0===h&&(this.flexing=!0);break;case 3089:break;default:warn(\'Unknown type 1 charstring command of "\'+r+\'"\')}if(o)break}else{r<=246?r-=139:r=r<=250?256*(r-247)+e[++c]+108:r<=254?-256*(r-251)-e[++c]-108:(255&e[++c])<<24|(255&e[++c])<<16|(255&e[++c])<<8|255&e[++c];this.stack.push(r)}}return o}executeCommand(e,t,a){const r=this.stack.length;if(e>r)return!0;const i=r-e;for(let e=i;e<r;e++){let t=this.stack[e];if(Number.isInteger(t))this.output.push(28,t>>8&255,255&t);else{t\
+=65536*t|0;this.output.push(255,t>>24&255,t>>16&255,t>>8&255,255&t)}}this.output.push(...t);a?this.stack.splice(i,e):this.stack.length=0;return!1}}function isHexDigit(e){return e>=48&&e<=57||e>=65&&e<=70||e>=97&&e<=102}function decrypt(e,t,a){if(a>=e.length)return new Uint8Array(0);let r,i,n=0|t;for(r=0;r<a;r++)n=52845*(e[r]+n)+22719&65535;const s=e.length-a,o=new Uint8Array(s);for(r=a,i=0;i<s;r++,i++){const t=e[r];o[i]=t^n>>8;n=52845*(t+n)+22719&65535}return o}function isSpecial(e){return 47===\
+e||91===e||93===e||123===e||125===e||40===e||41===e}class Type1Parser{constructor(e,t,a){if(t){const t=e.getBytes(),a=!((isHexDigit(t[0])||isWhiteSpace(t[0]))&&isHexDigit(t[1])&&isHexDigit(t[2])&&isHexDigit(t[3])&&isHexDigit(t[4])&&isHexDigit(t[5])&&isHexDigit(t[6])&&isHexDigit(t[7]));e=new Stream(a?decrypt(t,55665,4):function decryptAscii(e,t,a){let r=0|t;const i=e.length,n=new Uint8Array(i>>>1);let s,o;for(s=0,o=0;s<i;s++){const t=e[s];if(!isHexDigit(t))continue;s++;let a;for(;s<i&&!isHexDigit\
+(a=e[s]);)s++;if(s<i){const e=parseInt(String.fromCharCode(t,a),16);n[o++]=e^r>>8;r=52845*(e+r)+22719&65535}}return n.slice(a,o)}(t,55665,4))}this.seacAnalysisEnabled=!!a;this.stream=e;this.nextChar()}readNumberArray(){this.getToken();const e=[];for(;;){const t=this.getToken();if(null===t||"]"===t||"}"===t)break;e.push(parseFloat(t||0))}return e}readNumber(){const e=this.getToken();return parseFloat(e||0)}readInt(){const e=this.getToken();return 0|parseInt(e||0,10)}readBoolean(){return"true"===t\
+his.getToken()?1:0}nextChar(){return this.currentChar=this.stream.getByte()}prevChar(){this.stream.skip(-2);return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(-1===t)return null;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}if(isSpecial(t)){this.nextChar();return String.fromCharCode(t)}let a="";do{a+=String.fromCharCode(t);t=this.nextChar()}while(t>=0&&!isWhiteSpace(t)&&!isSpecial(t));return a}readCha\
+rStrings(e,t){return-1===t?e:decrypt(e,4330,t)}extractFontProgram(e){const t=this.stream,a=[],r=[],i=Object.create(null);i.lenIV=4;const n={subrs:[],charstrings:[],properties:{privateData:i}};let s,o,c,l;for(;null!==(s=this.getToken());)if("/"===s){s=this.getToken();switch(s){case"CharStrings":this.getToken();this.getToken();this.getToken();this.getToken();for(;;){s=this.getToken();if(null===s||"end"===s)break;if("/"!==s)continue;const e=this.getToken();o=this.readInt();this.getToken();c=o>0?t.g\
+etBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const a=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"===s?this.getToken():"/"===s&&this.prevChar();r.push({glyph:e,encoded:a})}break;case"Subrs":this.readInt();this.getToken();for(;"dup"===this.getToken();){const e=this.readInt();o=this.readInt();this.getToken();c=o>0?t.getBytes(o):new Uint8Array(0);l=n.properties.privateData.lenIV;const r=this.readCharStrings(c,l);this.nextChar();s=this.getToken();"noaccess"=\
+==s&&this.getToken();a[e]=r}break;case"BlueValues":case"OtherBlues":case"FamilyBlues":case"FamilyOtherBlues":const e=this.readNumberArray();e.length>0&&e.length,0;break;case"StemSnapH":case"StemSnapV":n.properties.privateData[s]=this.readNumberArray();break;case"StdHW":case"StdVW":n.properties.privateData[s]=this.readNumberArray()[0];break;case"BlueShift":case"lenIV":case"BlueFuzz":case"BlueScale":case"LanguageGroup":n.properties.privateData[s]=this.readNumber();break;case"ExpansionFactor":n.pro\
+perties.privateData[s]=this.readNumber()||.06;break;case"ForceBold":n.properties.privateData[s]=this.readBoolean()}}for(const{encoded:t,glyph:i}of r){const r=new Type1CharString,s=r.convert(t,a,this.seacAnalysisEnabled);let o=r.output;s&&(o=[14]);const c={glyphName:i,charstring:o,width:r.width,lsb:r.lsb,seac:r.seac};".notdef"===i?n.charstrings.unshift(c):n.charstrings.push(c);if(e.builtInEncoding){const t=e.builtInEncoding.indexOf(i);t>-1&&void 0===e.widths[t]&&t>=e.firstChar&&t<=e.lastChar&&(e.\
+widths[t]=r.width)}}return n}extractFontHeader(e){let t;for(;null!==(t=this.getToken());)if("/"===t){t=this.getToken();switch(t){case"FontMatrix":const a=this.readNumberArray();e.fontMatrix=a;break;case"Encoding":const r=this.getToken();let i;if(/^\\d+$/.test(r)){i=[];const e=0|parseInt(r,10);this.getToken();for(let a=0;a<e;a++){t=this.getToken();for(;"dup"!==t&&"def"!==t;){t=this.getToken();if(null===t)return}if("def"===t)break;const e=this.readInt();this.getToken();const a=this.getToken();i[e]=\
+a;this.getToken()}}else i=getEncoding(r);e.builtInEncoding=i;break;case"FontBBox":const n=this.readNumberArray();e.ascent=Math.max(n[3],n[1]);e.descent=Math.min(n[1],n[3]);e.ascentScaled=!0}}}}function findBlock(e,t,a){const r=e.length,i=t.length,n=r-i;let s=a,o=!1;for(;s<n;){let a=0;for(;a<i&&e[s+a]===t[a];)a++;if(a>=i){s+=a;for(;s<r&&isWhiteSpace(e[s]);)s++;o=!0;break}s++}return{found:o,length:s}}class Type1Font{constructor(e,t,a){let r=a.length1,i=a.length2,n=t.peekBytes(6);const s=128===n[0]\
+&&1===n[1];if(s){t.skip(6);r=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const o=function getHeaderBlock(e,t){const a=[101,101,120,101,99],r=e.pos;let i,n,s,o;try{i=e.getBytes(t);n=i.length}catch{}if(n===t){s=findBlock(i,a,t-2*a.length);if(s.found&&s.length===t)return{stream:new Stream(i),length:t}}warn(\'Invalid "Length1" property in Type1 font -- trying to recover.\');e.pos=r;for(;;){s=findBlock(e.peekBytes(2048),a,0);if(0===s.length)break;e.pos+=s.length;if(s.found){o=e.pos-r;break}}e.pos=r;if(o)return{stre\
+am:new Stream(e.getBytes(o)),length:o};warn(\'Unable to recover "Length1" property in Type1 font -- using as is.\');return{stream:new Stream(e.getBytes(t)),length:t}}(t,r);new Type1Parser(o.stream,!1,Rr).extractFontHeader(a);if(s){n=t.getBytes(6);i=n[5]<<24|n[4]<<16|n[3]<<8|n[2]}const c=function getEexecBlock(e,t){const a=e.getBytes();if(0===a.length)throw new FormatError("getEexecBlock - no font program found.");return{stream:new Stream(a),length:a.length}}(t),l=new Type1Parser(c.stream,!0,Rr).ex\
+tractFontProgram(a);for(const e in l.properties)a[e]=l.properties[e];const h=l.charstrings,u=this.getType2Charstrings(h),d=this.getType2Subrs(l.subrs);this.charstrings=h;this.data=this.wrap(e,u,this.charstrings,d,a);this.seacs=this.getSeacs(l.charstrings)}get numGlyphs(){return this.charstrings.length+1}getCharset(){const e=[".notdef"];for(const{glyphName:t}of this.charstrings)e.push(t);return e}getGlyphMapping(e){const t=this.charstrings;if(e.composite){const a=Object.create(null);for(let r=0,i\
+=t.length;r<i;r++){a[e.cMap.charCodeOf(r)]=r+1}return a}const a=[".notdef"];let r,i;for(i=0;i<t.length;i++)a.push(t[i].glyphName);const n=e.builtInEncoding;if(n){r=Object.create(null);for(const e in n){i=a.indexOf(n[e]);i>=0&&(r[e]=i)}}return type1FontGlyphMapping(e,r,a)}hasGlyphId(e){if(e<0||e>=this.numGlyphs)return!1;if(0===e)return!0;return this.charstrings[e-1].charstring.length>0}getSeacs(e){const t=[];for(let a=0,r=e.length;a<r;a++){const r=e[a];r.seac&&(t[a+1]=r.seac)}return t}getType2Cha\
+rstrings(e){const t=[];for(const a of e)t.push(a.charstring);return t}getType2Subrs(e){let t=0;const a=e.length;t=a<1133?107:a<33769?1131:32768;const r=[];let i;for(i=0;i<t;i++)r.push([11]);for(i=0;i<a;i++)r.push(e[i]);return r}wrap(e,t,a,r,i){const n=new CFF;n.header=new CFFHeader(1,0,4,4);n.names=[e];const s=new CFFTopDict;s.setByName("version",391);s.setByName("Notice",392);s.setByName("FullName",393);s.setByName("FamilyName",394);s.setByName("Weight",395);s.setByName("Encoding",null);s.setBy\
+Name("FontMatrix",i.fontMatrix);s.setByName("FontBBox",i.bbox);s.setByName("charset",null);s.setByName("CharStrings",null);s.setByName("Private",null);n.topDict=s;const o=new CFFStrings;o.add("Version 0.11");o.add("See original notice");o.add(e);o.add(e);o.add("Medium");n.strings=o;n.globalSubrIndex=new CFFIndex;const c=t.length,l=[".notdef"];let h,u;for(h=0;h<c;h++){const e=a[h].glyphName;-1===Hr.indexOf(e)&&o.add(e);l.push(e)}n.charset=new CFFCharset(!1,0,l);const d=new CFFIndex;d.add([139,14]\
+);for(h=0;h<c;h++)d.add(t[h]);n.charStrings=d;const f=new CFFPrivateDict;f.setByName("Subrs",null);const g=["BlueValues","OtherBlues","FamilyBlues","FamilyOtherBlues","StemSnapH","StemSnapV","BlueShift","BlueFuzz","BlueScale","LanguageGroup","ExpansionFactor","ForceBold","StdHW","StdVW"];for(h=0,u=g.length;h<u;h++){const e=g[h];if(!(e in i.privateData))continue;const t=i.privateData[e];if(Array.isArray(t))for(let e=t.length-1;e>0;e--)t[e]-=t[e-1];f.setByName(e,t)}n.topDict.privateDict=f;const p=\
+new CFFIndex;for(h=0,u=r.length;h<u;h++)p.add(r[h]);f.subrsIndex=p;return new CFFCompiler(n).compile()}}const bi=[[57344,63743],[1048576,1114109]],yi=1e3,wi=["ascent","bbox","black","bold","charProcOperatorList","cssFontInfo","data","defaultVMetrics","defaultWidth","descent","disableFontFace","fallbackName","fontExtraProperties","fontMatrix","isInvalidPDFjsFont","isType3Font","italic","loadedName","mimetype","missingFile","name","remeasure","systemFontInfo","vertical"],xi=["cMap","composite","de\
+faultEncoding","differences","isMonospace","isSerifFont","isSymbolicFont","seacMap","subtype","toFontChar","toUnicode","type","vmetrics","widths"];function adjustWidths(e){if(!e.fontMatrix)return;if(e.fontMatrix[0]===t[0])return;const a=.001/e.fontMatrix[0],r=e.widths;for(const e in r)r[e]*=a;e.defaultWidth*=a}function amendFallbackToUnicode(e){if(!e.fallbackToUnicode)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const t=[];for(const a in e.fallbackToUnicode)e.toUnicode.has(a)||(t\
+[a]=e.fallbackToUnicode[a]);t.length>0&&e.toUnicode.amend(t)}class fonts_Glyph{constructor(e,t,a,r,i,n,s,o,c){this.originalCharCode=e;this.fontChar=t;this.unicode=a;this.accent=r;this.width=i;this.vmetric=n;this.operatorListId=s;this.isSpace=o;this.isInFont=c}get category(){return shadow(this,"category",function getCharUnicodeCategory(e){const t=Dr.get(e);if(t)return t;const a=e.match(Mr),r={isWhitespace:!!a?.[1],isZeroWidthDiacritic:!!a?.[2],isInvisibleFormatMark:!!a?.[3]};Dr.set(e,r);return r}\
+(this.unicode),!0)}}function int16(e,t){return(e<<8)+t}function writeSignedInt16(e,t,a){e[t+1]=a;e[t]=a>>>8}function signedInt16(e,t){const a=(e<<8)+t;return 32768&a?a-65536:a}function string16(e){return String.fromCharCode(e>>8&255,255&e)}function safeString16(e){e>32767?e=32767:e<-32768&&(e=-32768);return String.fromCharCode(e>>8&255,255&e)}function isTrueTypeCollectionFile(e){return"ttcf"===bytesToString(e.peekBytes(4))}function getFontFileType(e,{type:t,subtype:a,composite:r}){let i,n;if(fun\
+ction isTrueTypeFile(e){const t=e.peekBytes(4);return 65536===readUint32(t,0)||"true"===bytesToString(t)}(e)||isTrueTypeCollectionFile(e))i=r?"CIDFontType2":"TrueType";else if(function isOpenTypeFile(e){return"OTTO"===bytesToString(e.peekBytes(4))}(e))i=r?"CIDFontType2":"OpenType";else if(function isType1File(e){const t=e.peekBytes(2);return 37===t[0]&&33===t[1]||128===t[0]&&1===t[1]}(e))i=r?"CIDFontType0":"MMType1"===t?"MMType1":"Type1";else if(function isCFFFile(e){const t=e.peekBytes(4);retur\
+n t[0]>=1&&t[3]>=1&&t[3]<=4}(e))if(r){i="CIDFontType0";n="CIDFontType0C"}else{i="MMType1"===t?"MMType1":"Type1";n="Type1C"}else{warn("getFontFileType: Unable to detect correct font file Type/Subtype.");i=t;n=a}return[i,n]}function applyStandardFontGlyphMap(e,t){for(const a in t)e[+a]=t[a]}function buildToFontChar(e,t,a){const r=[];let i;for(let a=0,n=e.length;a<n;a++){i=getUnicodeForGlyph(e[a],t);-1!==i&&(r[a]=i)}for(const e in a){i=getUnicodeForGlyph(a[e],t);-1!==i&&(r[+e]=i)}return r}function \
+isMacNameRecord(e){return 1===e.platform&&0===e.encoding&&0===e.language}function isWinNameRecord(e){return 3===e.platform&&1===e.encoding&&1033===e.language}function convertCidString(e,t,a=!1){switch(t.length){case 1:return t.charCodeAt(0);case 2:return t.charCodeAt(0)<<8|t.charCodeAt(1)}const r=`Unsupported CID string (charCode ${e}): "${t}".`;if(a)throw new FormatError(r);warn(r);return t}function adjustMapping(e,t,a,r){const i=Object.create(null),n=new Map,s=[],o=new Set;let c=0;let l=bi[c][\
+0],h=bi[c][1];let u=null;for(const f in e){let g=e[f];if(!t(g))continue;if(l>h){c++;if(c>=bi.length){warn("Ran out of space in font private use area.");break}l=bi[c][0];h=bi[c][1]}const p=l++;0===g&&(g=a);let m=r.get(f);if("string"==typeof m)if(1===m.length)m=m.codePointAt(0);else{if(!u){u=new Map;for(let e=64256;e<=64335;e++){const t=String.fromCharCode(e).normalize("NFKD");t.length>1&&u.set(t,e)}}m=u.get(m)||m.codePointAt(0)}if(m&&!(d=m,bi[0][0]<=d&&d<=bi[0][1]||bi[1][0]<=d&&d<=bi[1][1])&&!o.h\
+as(g)){n.set(m,g);o.add(g)}i[p]=g;s[f]=p}var d;return{toFontChar:s,charCodeToGlyphId:i,toUnicodeExtraMap:n,nextAvailableFontCharCode:l}}function createCmapTable(e,t,a){const r=function getRanges(e,t,a){const r=[];for(const t in e)e[t]>=a||r.push({fontCharCode:0|t,glyphId:e[t]});if(t)for(const[e,i]of t)i>=a||r.push({fontCharCode:e,glyphId:i});0===r.length&&r.push({fontCharCode:0,glyphId:0});r.sort(((e,t)=>e.fontCharCode-t.fontCharCode));const i=[],n=r.length;for(let e=0;e<n;){const t=r[e].fontCha\
+rCode,a=[r[e].glyphId];++e;let s=t;for(;e<n&&s+1===r[e].fontCharCode;){a.push(r[e].glyphId);++s;++e;if(65535===s)break}i.push([t,s,a])}return i}(e,t,a),i=r.at(-1)[1]>65535?2:1;let n,s,o,c,l="\\0\\0"+string16(i)+"\\0\\0
"+string32(4+8*i);for(n=r.length-1;n>=0&&!(r[n][0]<=65535);--n);const h=n+1;r[n][0]<65535&&65535===r[n][1]&&(r[n][1]=65534);const u=r[n][1]<65535?1:0,d=h+u,f=OpenTypeFileBuilder.getSearchParams(d,2);let g,p,m,b,y="",w="",x="",S="",k="",C=0;for(n=0,s=h;n<s;n++){g=r[n];p=g[0];m=g[1];y+\
+=string16(p);w+=string16(m);b=g[2];let e=!0;for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){e=!1;break}if(e){x+=string16(b[0]-p&65535);S+=string16(0)}else{const e=2*(d-n)+2*C;C+=m-p+1;x+=string16(0);S+=string16(e);for(o=0,c=b.length;o<c;++o)k+=string16(b[o])}}if(u>0){w+="ÿÿ";y+="ÿÿ";x+="\\0
";S+="\\0\\0"}const v="\\0\\0"+string16(2*d)+string16(f.range)+string16(f.entry)+string16(f.rangeShift)+w+"\\0\\0"+y+x+S+k;let F="",T="";if(i>1){l+="\\0\\0\\n"+string32(4+8*i+4+v.length);F="";for(n=0,s=r.length;n<s;n++\
+){g=r[n];p=g[0];b=g[2];let e=b[0];for(o=1,c=b.length;o<c;++o)if(b[o]!==b[o-1]+1){m=g[0]+o-1;F+=string32(p)+string32(m)+string32(e);p=m+1;e=b[o]}F+=string32(p)+string32(g[1])+string32(e)}T="\\0\\f\\0\\0"+string32(F.length+16)+"\\0\\0\\0\\0"+string32(F.length/12)}return l+"\\0"+string16(v.length+4)+v+T+F}function createOS2Table(e,t,a){a||={unitsPerEm:0,yMax:0,yMin:0,ascent:0,descent:0};let r=0,i=0,n=0,s=0,o=null,c=0,l=-1;if(t){for(let e in t){e|=0;(o>e||!o)&&(o=e);c<e&&(c=e);l=getUnicodeRangeFor(e,l);if(l\
+<32)r|=1<<l;else if(l<64)i|=1<<l-32;else if(l<96)n|=1<<l-64;else{if(!(l<123))throw new FormatError("Unicode ranges Bits > 123 are reserved for internal usage");s|=1<<l-96}}c>65535&&(c=65535)}else{o=0;c=255}const h=e.bbox||[0,0,0,0],u=a.unitsPerEm||(e.fontMatrix?1/Math.max(...e.fontMatrix.slice(0,4).map(Math.abs)):1e3),d=e.ascentScaled?1:u/yi,f=a.ascent||Math.round(d*(e.ascent||h[3]));let g=a.descent||Math.round(d*(e.descent||h[1]));g>0&&e.descent>0&&h[1]<0&&(g=-g);const p=a.yMax||f,m=-a.yMin||-g\
+;return"\\0$
ô\\0\\0\\0Š»\\0\\0\\0ŒŠ»\\0\\0
ß\\x001
\\0\\0\\0\\0"+String.fromCharCode(e.fixedPitch?9:0)+"\\0\\0\\0\\0\\0\\0"+string32(r)+string32(i)+string32(n)+string32(s)+"*21*"+string16(e.italicAngle?1:0)+string16(o||e.firstChar)+string16(c||e.lastChar)+string16(f)+string16(g)+"\\0d"+string16(p)+string16(m)+"\\0\\0\\0\\0\\0\\0\\0\\0"+string16(e.xHeight)+string16(e.capHeight)+string16(0)+string16(o||e.firstChar)+"\\0"}function createPostTable(e){return"\\0\\0\\0"+string32(Math.floor(65536*e.italicAngle))+"\\0\\0\\0\\0"\
++string32(e.fixedPitch?1:0)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"}function createPostscriptName(e){return e.replaceAll(/[^\\x21-\\x7E]|[[\\](){}<>/%]/g,"").slice(0,63)}function createNameTable(e,t){t||(t=[[],[]]);const a=[t[0][0]||"Original licence",t[0][1]||e,t[0][2]||"Unknown",t[0][3]||"uniqueID",t[0][4]||e,t[0][5]||"Version 0.11",t[0][6]||createPostscriptName(e),t[0][7]||"Unknown",t[0][8]||"Unknown",t[0][9]||"Unknown"],r=[];let i,n,s,o,c;for(i=0,n=a.length;i<n;i++){c=t[1][i]||a[i];const e=[];for(s=\
+0,o=c.length;s<o;s++)e.push(string16(c.charCodeAt(s)));r.push(e.join(""))}const l=[a,r],h=["\\0
","\\0"],u=["\\0\\0","\\0
"],d=["\\0\\0","\\t"],f=a.length*h.length;let g="\\0\\0"+string16(f)+string16(12*f+6),p=0;for(i=0,n=h.length;i<n;i++){const e=l[i];for(s=0,o=e.length;s<o;s++){c=e[s];g+=h[i]+u[i]+d[i]+string16(s)+string16(c.length)+string16(p);p+=c.length}}g+=a.join("")+r.join("");return g}class Font{constructor(e,t,a,r){this.name=e;this.psName=null;this.mimetype=null;this.disableFontFace=r.disableFo\
+ntFace;this.fontExtraProperties=r.fontExtraProperties;this.loadedName=a.loadedName;this.isType3Font=a.isType3Font;this.missingFile=!1;this.cssFontInfo=a.cssFontInfo;this._charsCache=Object.create(null);this._glyphCache=Object.create(null);let i=!!(a.flags&Er);if(!i&&!a.isSimulatedFlags){const t=e.replaceAll(/[,_]/g,"-").split("-",1)[0],a=Qr();for(const e of t.split("+"))if(a[e]){i=!0;break}}this.isSerifFont=i;this.isSymbolicFont=!!(a.flags&Pr);this.isMonospace=!!(a.flags&Nr);let{type:n,subtype:s\
+}=a;this.type=n;this.subtype=s;this.systemFontInfo=a.systemFontInfo;const o=e.match(/^InvalidPDFjsFont_(.*)_\\d+$/);this.isInvalidPDFjsFont=!!o;this.isInvalidPDFjsFont?this.fallbackName=o[1]:this.isMonospace?this.fallbackName="monospace":this.isSerifFont?this.fallbackName="serif":this.fallbackName="sans-serif";if(this.systemFontInfo?.guessFallback){this.systemFontInfo.guessFallback=!1;this.systemFontInfo.css+=`,${this.fallbackName}`}this.differences=a.differences;this.widths=a.widths;this.default\
+Width=a.defaultWidth;this.composite=a.composite;this.cMap=a.cMap;this.capHeight=a.capHeight/yi;this.ascent=a.ascent/yi;this.descent=a.descent/yi;this.lineHeight=this.ascent-this.descent;this.fontMatrix=a.fontMatrix;this.bbox=a.bbox;this.defaultEncoding=a.defaultEncoding;this.toUnicode=a.toUnicode;this.toFontChar=[];if("Type3"===a.type){for(let e=0;e<256;e++)this.toFontChar[e]=this.differences[e]||a.defaultEncoding[e];return}this.cidEncoding=a.cidEncoding||"";this.vertical=!!a.vertical;if(this.ve\
+rtical){this.vmetrics=a.vmetrics;this.defaultVMetrics=a.defaultVMetrics}if(!t||t.isEmpty){t&&warn(\'Font file is empty in "\'+e+\'" (\'+this.loadedName+")");this.fallbackToSystemFont(a);return}[n,s]=getFontFileType(t,a);n===this.type&&s===this.subtype||info(`Inconsistent font file Type/SubType, expected: ${this.type}/${this.subtype} but found: ${n}/${s}.`);let c;try{switch(n){case"MMType1":info("MMType1 font ("+e+"), falling back to Type1.");case"Type1":case"CIDFontType0":this.mimetype="font/opentyp\
+e";const r="Type1C"===s||"CIDFontType0C"===s?new CFFFont(t,a):new Type1Font(e,t,a);adjustWidths(a);c=this.convert(e,r,a);break;case"OpenType":case"TrueType":case"CIDFontType2":this.mimetype="font/opentype";c=this.checkAndRepair(e,t,a);adjustWidths(a);this.isOpenType&&(n="OpenType");break;default:throw new FormatError(`Font ${n} is not supported`)}}catch(e){warn(e);this.fallbackToSystemFont(a);return}amendFallbackToUnicode(a);this.data=c;this.type=n;this.subtype=s;this.fontMatrix=a.fontMatrix;thi\
+s.widths=a.widths;this.defaultWidth=a.defaultWidth;this.toUnicode=a.toUnicode;this.seacMap=a.seacMap}get renderer(){return shadow(this,"renderer",FontRendererFactory.create(this,Rr))}exportData(){const e=this.fontExtraProperties?[...wi,...xi]:wi,t=Object.create(null);for(const a of e){const e=this[a];void 0!==e&&(t[a]=e)}return t}fallbackToSystemFont(e){this.missingFile=!0;const{name:t,type:a}=this;let r=normalizeFontName(t);const i=Jr(),n=Zr(),s=!!i[r],o=!(!n[r]||!i[n[r]]);r=i[r]||n[r]||r;const\
+ c=ni()[r];if(c){isNaN(this.ascent)&&(this.ascent=c.ascent/yi);isNaN(this.descent)&&(this.descent=c.descent/yi);isNaN(this.capHeight)&&(this.capHeight=c.capHeight/yi)}this.bold=/bold/gi.test(r);this.italic=/oblique|italic/gi.test(r);this.black=/Black/g.test(t);const l=/Narrow/g.test(t);this.remeasure=(!s||l)&&Object.keys(this.widths).length>0;if((s||o)&&"CIDFontType2"===a&&this.cidEncoding.startsWith("Identity-")){const a=e.cidToGidMap,r=[];applyStandardFontGlyphMap(r,ti());/Arial-?Black/i.test(\
+t)?applyStandardFontGlyphMap(r,ai()):/Calibri/i.test(t)&&applyStandardFontGlyphMap(r,ri());if(a){for(const e in r){const t=r[e];void 0!==a[t]&&(r[+e]=a[t])}a.length!==this.toUnicode.length&&e.hasIncludedToUnicodeMap&&this.toUnicode instanceof IdentityToUnicodeMap&&this.toUnicode.forEach((function(e,t){const i=r[e];void 0===a[i]&&(r[+e]=t)}))}this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(e,t){r[+e]=t}));this.toFontChar=r;this.toUnicode=new ToUnicodeMap(r)}else i\
+f(/Symbol/i.test(r))this.toFontChar=buildToFontChar(Cr,Fr(),this.differences);else if(/Dingbats/i.test(r))this.toFontChar=buildToFontChar(vr,Ir(),this.differences);else if(s||o){const e=buildToFontChar(this.defaultEncoding,Fr(),this.differences);"CIDFontType2"!==a||this.cidEncoding.startsWith("Identity-")||this.toUnicode instanceof IdentityToUnicodeMap||this.toUnicode.forEach((function(t,a){e[+t]=a}));this.toFontChar=e}else{const e=Fr(),a=[];this.toUnicode.forEach(((t,r)=>{if(!this.composite){co\
+nst a=getUnicodeForGlyph(this.differences[t]||this.defaultEncoding[t],e);-1!==a&&(r=a)}a[+t]=r}));this.composite&&this.toUnicode instanceof IdentityToUnicodeMap&&/Tahoma|Verdana/i.test(t)&&applyStandardFontGlyphMap(a,ti());this.toFontChar=a}amendFallbackToUnicode(e);this.loadedName=r.split("-",1)[0]}checkAndRepair(e,t,a){const r=["OS/2","cmap","head","hhea","hmtx","maxp","name","post","loca","glyf","fpgm","prep","cvt ","CFF "];function readTables(e,t){const a=Object.create(null);a["OS/2"]=null;a\
+.cmap=null;a.head=null;a.hhea=null;a.hmtx=null;a.maxp=null;a.name=null;a.post=null;for(let i=0;i<t;i++){const t=readTableEntry(e);r.includes(t.tag)&&(0!==t.length&&(a[t.tag]=t))}return a}function readTableEntry(e){const t=e.getString(4),a=e.getInt32()>>>0,r=e.getInt32()>>>0,i=e.getInt32()>>>0,n=e.pos;e.pos=e.start||0;e.skip(r);const s=e.getBytes(i);e.pos=n;if("head"===t){s[8]=s[9]=s[10]=s[11]=0;s[17]|=32}return{tag:t,checksum:a,length:i,offset:r,data:s}}function readOpenTypeHeader(e){return{vers\
+ion:e.getString(4),numTables:e.getUint16(),searchRange:e.getUint16(),entrySelector:e.getUint16(),rangeShift:e.getUint16()}}function sanitizeGlyph(e,t,a,r,i,n){const s={length:0,sizeOfInstructions:0};if(t<0||t>=e.length||a>e.length||a-t<=12)return s;const o=e.subarray(t,a),c=signedInt16(o[2],o[3]),l=signedInt16(o[4],o[5]),h=signedInt16(o[6],o[7]),u=signedInt16(o[8],o[9]);if(c>h){writeSignedInt16(o,2,h);writeSignedInt16(o,6,c)}if(l>u){writeSignedInt16(o,4,u);writeSignedInt16(o,8,l)}const d=signedI\
+nt16(o[0],o[1]);if(d<0){if(d<-1)return s;r.set(o,i);s.length=o.length;return s}let f,g=10,p=0;for(f=0;f<d;f++){p=(o[g]<<8|o[g+1])+1;g+=2}const m=g,b=o[g]<<8|o[g+1];s.sizeOfInstructions=b;g+=2+b;const y=g;let w=0;for(f=0;f<p;f++){const e=o[g++];192&e&&(o[g-1]=63&e);let t=2;2&e?t=1:16&e&&(t=0);let a=2;4&e?a=1:32&e&&(a=0);const r=t+a;w+=r;if(8&e){const e=o[g++];0===e&&(o[g-1]^=8);f+=e;w+=e*r}}if(0===w)return s;let x=g+w;if(x>o.length)return s;if(!n&&b>0){r.set(o.subarray(0,m),i);r.set([0,0],i+m);r.\
+set(o.subarray(y,x),i+m+2);x-=b;o.length-x>3&&(x=x+3&-4);s.length=x;return s}if(o.length-x>3){x=x+3&-4;r.set(o.subarray(0,x),i);s.length=x;return s}r.set(o,i);s.length=o.length;return s}function readNameTable(e){const a=(t.start||0)+e.offset;t.pos=a;const r=[[],[]],i=[],n=e.length,s=a+n;if(0!==t.getUint16()||n<6)return[r,i];const o=t.getUint16(),c=t.getUint16();let l,h;for(l=0;l<o&&t.pos+12<=s;l++){const e={platform:t.getUint16(),encoding:t.getUint16(),language:t.getUint16(),name:t.getUint16(),l\
+ength:t.getUint16(),offset:t.getUint16()};(isMacNameRecord(e)||isWinNameRecord(e))&&i.push(e)}for(l=0,h=i.length;l<h;l++){const e=i[l];if(e.length<=0)continue;const n=a+c+e.offset;if(n+e.length>s)continue;t.pos=n;const o=e.name;if(e.encoding){let a="";for(let r=0,i=e.length;r<i;r+=2)a+=String.fromCharCode(t.getUint16());r[1][o]=a}else r[0][o]=t.getString(e.length)}return[r,i]}const i=[0,0,0,0,0,0,0,0,-2,-2,-2,-2,0,0,-2,-5,-1,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,-1,-1,1,-1,-999,0,1,0,-1,-2,0,-1,-2\
+,-1,-1,0,-1,-1,0,0,-999,-999,-1,-1,-1,-1,-2,-999,-2,-2,-999,0,-2,-2,0,0,-2,0,-2,0,0,0,-2,-1,-1,1,1,0,0,-1,-1,-1,-1,-1,-1,-1,0,0,-1,0,-1,-1,0,-999,-1,-1,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,-2,-999,-999,-999,-999,-999,-1,-1,-2,-2,0,0,0,0,-1,-1,-999,-2,-2,0,0,-1,-2,-2,0,0,0,-1,-1,-1,-2];function sanitizeTTProgram(e,t){let a,r,n,s,o,c=e.data,l=0,h=0,u=0;const d=[],f=[],g=[];let p=t.tooComplexToFollowFunctions,m=!1,b=0,y=0;for(let e=c.length;l<e;){const e=c[l++];if(64===e){r=c[l++];if(m||y)l+=r;else \
+for(a=0;a<r;a++)d.push(c[l++])}else if(65===e){r=c[l++];if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(n<<8|c[l++])}}else if(176==(248&e)){r=e-176+1;if(m||y)l+=r;else for(a=0;a<r;a++)d.push(c[l++])}else if(184==(248&e)){r=e-184+1;if(m||y)l+=2*r;else for(a=0;a<r;a++){n=c[l++];d.push(signedInt16(n,c[l++]))}}else if(43!==e||p)if(44!==e||p){if(45===e)if(m){m=!1;h=l}else{o=f.pop();if(!o){warn("TT: ENDF bad stack");t.hintsValid=!1;return}s=g.pop();c=o.data;l=o.i;t.functionsStackDeltas[s]=d.lengt\
+h-o.stackTop}else if(137===e){if(m||y){warn("TT: nested IDEFs not allowed");p=!0}m=!0;u=l}else if(88===e)++b;else if(27===e)y=b;else if(89===e){y===b&&(y=0);--b}else if(28===e&&!m&&!y){const e=d.at(-1);e>0&&(l+=e-1)}}else{if(m||y){warn("TT: nested FDEFs not allowed");p=!0}m=!0;u=l;s=d.pop();t.functionsDefined[s]={data:c,i:l}}else if(!m&&!y){s=d.at(-1);if(isNaN(s))info("TT: CALL empty stack (or invalid entry).");else{t.functionsUsed[s]=!0;if(s in t.functionsStackDeltas){const e=d.length+t.functio\
+nsStackDeltas[s];if(e<0){warn("TT: CALL invalid functions stack delta.");t.hintsValid=!1;return}d.length=e}else if(s in t.functionsDefined&&!g.includes(s)){f.push({data:c,i:l,stackTop:d.length-1});g.push(s);o=t.functionsDefined[s];if(!o){warn("TT: CALL non-existent function");t.hintsValid=!1;return}c=o.data;l=o.i}}}if(!m&&!y){let t=0;e<=142?t=i[e]:e>=192&&e<=223?t=-1:e>=224&&(t=-2);if(e>=113&&e<=117){r=d.pop();isNaN(r)||(t=2*-r)}for(;t<0&&d.length>0;){d.pop();t++}for(;t>0;){d.push(NaN);t--}}}t.t\
+ooComplexToFollowFunctions=p;const w=[c];l>c.length&&w.push(new Uint8Array(l-c.length));if(u>h){warn("TT: complementing a missing function tail");w.push(new Uint8Array([34,45]))}!function foldTTTable(e,t){if(t.length>1){let a,r,i=0;for(a=0,r=t.length;a<r;a++)i+=t[a].length;i=i+3&-4;const n=new Uint8Array(i);let s=0;for(a=0,r=t.length;a<r;a++){n.set(t[a],s);s+=t[a].length}e.data=n;e.length=i}}(e,w)}let n,s,o,c;if(isTrueTypeCollectionFile(t=new Stream(new Uint8Array(t.getBytes())))){const e=functi\
+on readTrueTypeCollectionData(e,t){const{numFonts:a,offsetTable:r}=function readTrueTypeCollectionHeader(e){const t=e.getString(4);assert("ttcf"===t,"Must be a TrueType Collection font.");const a=e.getUint16(),r=e.getUint16(),i=e.getInt32()>>>0,n=[];for(let t=0;t<i;t++)n.push(e.getInt32()>>>0);const s={ttcTag:t,majorVersion:a,minorVersion:r,numFonts:i,offsetTable:n};switch(a){case 1:return s;case 2:s.dsigTag=e.getInt32()>>>0;s.dsigLength=e.getInt32()>>>0;s.dsigOffset=e.getInt32()>>>0;return s}th\
+row new FormatError(`Invalid TrueType Collection majorVersion: ${a}.`)}(e),i=t.split("+");let n;for(let s=0;s<a;s++){e.pos=(e.start||0)+r[s];const a=readOpenTypeHeader(e),o=readTables(e,a.numTables);if(!o.name)throw new FormatError(\'TrueType Collection font must contain a "name" table.\');const[c]=readNameTable(o.name);for(let e=0,r=c.length;e<r;e++)for(let r=0,s=c[e].length;r<s;r++){const s=c[e][r]?.replaceAll(/\\s/g,"");if(s){if(s===t)return{header:a,tables:o};if(!(i.length<2))for(const e of i)s\
+===e&&(n={name:e,header:a,tables:o})}}}if(n){warn(`TrueType Collection does not contain "${t}" font, falling back to "${n.name}" font instead.`);return{header:n.header,tables:n.tables}}throw new FormatError(`TrueType Collection does not contain "${t}" font.`)}(t,this.name);n=e.header;s=e.tables}else{n=readOpenTypeHeader(t);s=readTables(t,n.numTables)}const l=!s["CFF "];if(l){if(!s.loca)throw new FormatError(\'Required "loca" table is not found\');if(!s.glyf){warn(\'Required "glyf" table is not foun\
+d -- trying to recover.\');s.glyf={tag:"glyf",data:new Uint8Array(0)}}this.isOpenType=!1}else{const t=a.composite&&(a.cidToGidMap?.length>0||!(a.cMap instanceof IdentityCMap));if("OTTO"===n.version&&!t||!s.head||!s.hhea||!s.maxp||!s.post){c=new Stream(s["CFF "].data);o=new CFFFont(c,a);return this.convert(e,o,a)}delete s.glyf;delete s.loca;delete s.fpgm;delete s.prep;delete s["cvt "];this.isOpenType=!0}if(!s.maxp)throw new FormatError(\'Required "maxp" table is not found\');t.pos=(t.start||0)+s.max\
+p.offset;let h=t.getInt32();const u=t.getUint16();if(65536!==h&&20480!==h){if(6===s.maxp.length)h=20480;else{if(!(s.maxp.length>=32))throw new FormatError(\'"maxp" table has a wrong version number\');h=65536}!function writeUint32(e,t,a){e[t+3]=255&a;e[t+2]=a>>>8;e[t+1]=a>>>16;e[t]=a>>>24}(s.maxp.data,0,h)}if(a.scaleFactors?.length===u&&l){const{scaleFactors:e}=a,t=int16(s.head.data[50],s.head.data[51]),r=new GlyfTable({glyfTable:s.glyf.data,isGlyphLocationsLong:t,locaTable:s.loca.data,numGlyphs:u}\
+);r.scale(e);const{glyf:i,loca:n,isLocationLong:o}=r.write();s.glyf.data=i;s.loca.data=n;if(o!==!!t){s.head.data[50]=0;s.head.data[51]=o?1:0}const c=s.hmtx.data;for(let t=0;t<u;t++){const a=4*t,r=Math.round(e[t]*int16(c[a],c[a+1]));c[a]=r>>8&255;c[a+1]=255&r;writeSignedInt16(c,a+2,Math.round(e[t]*signedInt16(c[a+2],c[a+3])))}}let d=u+1,f=!0;if(d>65535){f=!1;d=u;warn("Not enough space in glyfs to duplicate first glyph.")}let g=0,p=0;if(h>=65536&&s.maxp.length>=32){t.pos+=8;if(t.getUint16()>2){s.m\
+axp.data[14]=0;s.maxp.data[15]=2}t.pos+=4;g=t.getUint16();t.pos+=4;p=t.getUint16()}s.maxp.data[4]=d>>8;s.maxp.data[5]=255&d;const m=function sanitizeTTPrograms(e,t,a,r){const i={functionsDefined:[],functionsUsed:[],functionsStackDeltas:[],tooComplexToFollowFunctions:!1,hintsValid:!0};e&&sanitizeTTProgram(e,i);t&&sanitizeTTProgram(t,i);e&&function checkInvalidFunctions(e,t){if(!e.tooComplexToFollowFunctions)if(e.functionsDefined.length>t){warn("TT: more functions defined than expected");e.hintsVa\
+lid=!1}else for(let a=0,r=e.functionsUsed.length;a<r;a++){if(a>t){warn("TT: invalid function id: "+a);e.hintsValid=!1;return}if(e.functionsUsed[a]&&!e.functionsDefined[a]){warn("TT: undefined function: "+a);e.hintsValid=!1;return}}}(i,r);if(a&&1&a.length){const e=new Uint8Array(a.length+1);e.set(a.data);a.data=e}return i.hintsValid}(s.fpgm,s.prep,s["cvt "],g);if(!m){delete s.fpgm;delete s.prep;delete s["cvt "]}!function sanitizeMetrics(e,t,a,r,i,n){if(!t){a&&(a.data=null);return}e.pos=(e.start||\
+0)+t.offset;e.pos+=4;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;e.pos+=2;const s=e.getUint16();e.pos+=8;e.pos+=2;let o=e.getUint16();if(0!==s){if(!(2&int16(r.data[44],r.data[45]))){t.data[22]=0;t.data[23]=0}}if(o>i){info(`The numOfMetrics (${o}) should not be greater than the numGlyphs (${i}).`);o=i;t.data[34]=(65280&o)>>8;t.data[35]=255&o}const c=i-o-(a.length-4*o>>1);if(c>0){const e=new Uint8Array(a.length+2*c);e.set(a.data);if(n){e[a.length]=a.data[2];e[a.length+1\
+]=a.data[3]}a.data=e}}(t,s.hhea,s.hmtx,s.head,d,f);if(!s.head)throw new FormatError(\'Required "head" table is not found\');!function sanitizeHead(e,t,a){const r=e.data,i=function int32(e,t,a,r){return(e<<24)+(t<<16)+(a<<8)+r}(r[0],r[1],r[2],r[3]);if(i>>16!=1){info("Attempting to fix invalid version in head table: "+i);r[0]=0;r[1]=1;r[2]=0;r[3]=0}const n=int16(r[50],r[51]);if(n<0||n>1){info("Attempting to fix invalid indexToLocFormat in head table: "+n);const e=t+1;if(a===e<<1){r[50]=0;r[51]=0}els\
+e{if(a!==e<<2)throw new FormatError("Could not fix indexToLocFormat: "+n);r[50]=0;r[51]=1}}}(s.head,u,l?s.loca.length:0);let b=Object.create(null);if(l){const e=int16(s.head.data[50],s.head.data[51]),t=function sanitizeGlyphLocations(e,t,a,r,i,n,s){let o,c,l;if(r){o=4;c=function fontItemDecodeLong(e,t){return e[t]<<24|e[t+1]<<16|e[t+2]<<8|e[t+3]};l=function fontItemEncodeLong(e,t,a){e[t]=a>>>24&255;e[t+1]=a>>16&255;e[t+2]=a>>8&255;e[t+3]=255&a}}else{o=2;c=function fontItemDecode(e,t){return e[t]\
+<<9|e[t+1]<<1};l=function fontItemEncode(e,t,a){e[t]=a>>9&255;e[t+1]=a>>1&255}}const h=n?a+1:a,u=o*(1+h),d=new Uint8Array(u);d.set(e.data.subarray(0,u));e.data=d;const f=t.data,g=f.length,p=new Uint8Array(g);let m,b;const y=[];for(m=0,b=0;m<a+1;m++,b+=o){let e=c(d,b);e>g&&(e=g);y.push({index:m,offset:e,endOffset:0})}y.sort(((e,t)=>e.offset-t.offset));for(m=0;m<a;m++)y[m].endOffset=y[m+1].offset;y.sort(((e,t)=>e.index-t.index));for(m=0;m<a;m++){const{offset:e,endOffset:t}=y[m];if(0!==e||0!==t)bre\
+ak;const a=y[m+1].offset;if(0!==a){y[m].endOffset=a;break}}const w=y.at(-2);0!==w.offset&&0===w.endOffset&&(w.endOffset=g);const x=Object.create(null);let S=0;l(d,0,S);for(m=0,b=o;m<a;m++,b+=o){const e=sanitizeGlyph(f,y[m].offset,y[m].endOffset,p,S,i),t=e.length;0===t&&(x[m]=!0);e.sizeOfInstructions>s&&(s=e.sizeOfInstructions);S+=t;l(d,b,S)}if(0===S){const e=new Uint8Array([0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,0]);for(m=0,b=o;m<h;m++,b+=o)l(d,b,e.length);t.data=e}else if(n){const a=c(d,o);if(p.length>\
+a+S)t.data=p.subarray(0,a+S);else{t.data=new Uint8Array(a+S);t.data.set(p.subarray(0,S))}t.data.set(p.subarray(0,a),S);l(e.data,d.length-o,S+a)}else t.data=p.subarray(0,S);return{missingGlyphs:x,maxSizeOfInstructions:s}}(s.loca,s.glyf,u,e,m,f,p);b=t.missingGlyphs;if(h>=65536&&s.maxp.length>=32){s.maxp.data[26]=t.maxSizeOfInstructions>>8;s.maxp.data[27]=255&t.maxSizeOfInstructions}}if(!s.hhea)throw new FormatError(\'Required "hhea" table is not found\');if(0===s.hhea.data[10]&&0===s.hhea.data[11]){\
+s.hhea.data[10]=255;s.hhea.data[11]=255}const y={unitsPerEm:int16(s.head.data[18],s.head.data[19]),yMax:signedInt16(s.head.data[42],s.head.data[43]),yMin:signedInt16(s.head.data[38],s.head.data[39]),ascent:signedInt16(s.hhea.data[4],s.hhea.data[5]),descent:signedInt16(s.hhea.data[6],s.hhea.data[7]),lineGap:signedInt16(s.hhea.data[8],s.hhea.data[9])};this.ascent=y.ascent/y.unitsPerEm;this.descent=y.descent/y.unitsPerEm;this.lineGap=y.lineGap/y.unitsPerEm;if(this.cssFontInfo?.lineHeight){this.line\
+Height=this.cssFontInfo.metrics.lineHeight;this.lineGap=this.cssFontInfo.metrics.lineGap}else this.lineHeight=this.ascent-this.descent+this.lineGap;s.post&&function readPostScriptTable(e,a,r){const i=(t.start||0)+e.offset;t.pos=i;const n=i+e.length,s=t.getInt32();t.skip(28);let o,c,l=!0;switch(s){case 65536:o=jr;break;case 131072:const e=t.getUint16();if(e!==r){l=!1;break}const i=[];for(c=0;c<e;++c){const e=t.getUint16();if(e>=32768){l=!1;break}i.push(e)}if(!l)break;const h=[],u=[];for(;t.pos<n;\
+){const e=t.getByte();u.length=e;for(c=0;c<e;++c)u[c]=String.fromCharCode(t.getByte());h.push(u.join(""))}o=[];for(c=0;c<e;++c){const e=i[c];e<258?o.push(jr[e]):o.push(h[e-258])}break;case 196608:break;default:warn("Unknown/unsupported post table version "+s);l=!1;a.defaultEncoding&&(o=a.defaultEncoding)}a.glyphNames=o;return l}(s.post,a,u);s.post={tag:"post",data:createPostTable(a)};const w=Object.create(null);function hasGlyph(e){return!b[e]}if(a.composite){const e=a.cidToGidMap||[],t=0===e.le\
+ngth;a.cMap.forEach((function(a,r){"string"==typeof r&&(r=convertCidString(a,r,!0));if(r>65535)throw new FormatError("Max size of CID is 65,535");let i=-1;t?i=r:void 0!==e[r]&&(i=e[r]);i>=0&&i<u&&hasGlyph(i)&&(w[a]=i)}))}else{const e=function readCmapTable(e,t,a,r){if(!e){warn("No cmap table available.");return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}let i,n=(t.start||0)+e.offset;t.pos=n;t.skip(2);const s=t.getUint16();let o,c=!1;for(let e=0;e<s;e++){const i=t.getUint16(),n=t.ge\
+tUint16(),l=t.getInt32()>>>0;let h=!1;if(o?.platformId!==i||o?.encodingId!==n){if(0!==i||0!==n&&1!==n&&3!==n)if(1===i&&0===n)h=!0;else if(3!==i||1!==n||!r&&o){if(a&&3===i&&0===n){h=!0;let a=!0;if(e<s-1){const e=t.peekBytes(2);int16(e[0],e[1])<i&&(a=!1)}a&&(c=!0)}}else{h=!0;a||(c=!0)}else h=!0;h&&(o={platformId:i,encodingId:n,offset:l});if(c)break}}o&&(t.pos=n+o.offset);if(!o||-1===t.peekByte()){warn("Could not find a preferred cmap table.");return{platformId:-1,encodingId:-1,mappings:[],hasShort\
+Cmap:!1}}const l=t.getUint16();let h=!1;const u=[];let d,f;if(0===l){t.skip(4);for(d=0;d<256;d++){const e=t.getByte();e&&u.push({charCode:d,glyphId:e})}h=!0}else if(2===l){t.skip(4);const e=[];let a=0;for(let r=0;r<256;r++){const r=t.getUint16()>>3;e.push(r);a=Math.max(r,a)}const r=[];for(let e=0;e<=a;e++)r.push({firstCode:t.getUint16(),entryCount:t.getUint16(),idDelta:signedInt16(t.getByte(),t.getByte()),idRangePos:t.pos+t.getUint16()});for(let a=0;a<256;a++)if(0===e[a]){t.pos=r[0].idRangePos+2\
+*a;f=t.getUint16();u.push({charCode:a,glyphId:f})}else{const i=r[e[a]];for(d=0;d<i.entryCount;d++){const e=(a<<8)+d+i.firstCode;t.pos=i.idRangePos+2*d;f=t.getUint16();0!==f&&(f=(f+i.idDelta)%65536);u.push({charCode:e,glyphId:f})}}}else if(4===l){t.skip(4);const e=t.getUint16()>>1;t.skip(6);const a=[];let r;for(r=0;r<e;r++)a.push({end:t.getUint16()});t.skip(2);for(r=0;r<e;r++)a[r].start=t.getUint16();for(r=0;r<e;r++)a[r].delta=t.getUint16();let s,o=0;for(r=0;r<e;r++){i=a[r];const n=t.getUint16();\
+if(n){s=(n>>1)-(e-r);i.offsetIndex=s;o=Math.max(o,s+i.end-i.start+1)}else i.offsetIndex=-1}const c=[];for(d=0;d<o;d++)c.push(t.getUint16());for(r=0;r<e;r++){i=a[r];n=i.start;const e=i.end,t=i.delta;s=i.offsetIndex;for(d=n;d<=e;d++)if(65535!==d){f=s<0?d:c[s+d-n];f=f+t&65535;u.push({charCode:d,glyphId:f})}}}else if(6===l){t.skip(4);const e=t.getUint16(),a=t.getUint16();for(d=0;d<a;d++){f=t.getUint16();const a=e+d;u.push({charCode:a,glyphId:f})}}else{if(12!==l){warn("cmap table has unsupported form\
+at: "+l);return{platformId:-1,encodingId:-1,mappings:[],hasShortCmap:!1}}{t.skip(10);const e=t.getInt32()>>>0;for(d=0;d<e;d++){const e=t.getInt32()>>>0,a=t.getInt32()>>>0;let r=t.getInt32()>>>0;for(let t=e;t<=a;t++)u.push({charCode:t,glyphId:r++})}}}u.sort(((e,t)=>e.charCode-t.charCode));const g=[],p=new Set;for(const e of u){const{charCode:t}=e;if(!p.has(t)){p.add(t);g.push(e)}}return{platformId:o.platformId,encodingId:o.encodingId,mappings:g,hasShortCmap:h}}(s.cmap,t,this.isSymbolicFont,a.hasE\
+ncoding),r=e.platformId,i=e.encodingId,n=e.mappings;let o=[],c=!1;!a.hasEncoding||"MacRomanEncoding"!==a.baseEncodingName&&"WinAnsiEncoding"!==a.baseEncodingName||(o=getEncoding(a.baseEncodingName));if(a.hasEncoding&&!this.isSymbolicFont&&(3===r&&1===i||1===r&&0===i)){const e=Fr();for(let t=0;t<256;t++){let s;s=void 0!==this.differences[t]?this.differences[t]:o.length&&""!==o[t]?o[t]:Ar[t];if(!s)continue;const c=recoverGlyphName(s,e);let l;3===r&&1===i?l=e[c]:1===r&&0===i&&(l=Sr.indexOf(c));if(v\
+oid 0===l){if(!a.glyphNames&&a.hasIncludedToUnicodeMap&&!(this.toUnicode instanceof IdentityToUnicodeMap)){const e=this.toUnicode.get(t);e&&(l=e.codePointAt(0))}if(void 0===l)continue}for(const e of n)if(e.charCode===l){w[t]=e.glyphId;break}}}else if(0===r){for(const e of n)w[e.charCode]=e.glyphId;c=!0}else if(3===r&&0===i)for(const e of n){let t=e.charCode;t>=61440&&t<=61695&&(t&=255);w[t]=e.glyphId}else for(const e of n)w[e.charCode]=e.glyphId;if(a.glyphNames&&(o.length||this.differences.lengt\
+h))for(let e=0;e<256;++e){if(!c&&void 0!==w[e])continue;const t=this.differences[e]||o[e];if(!t)continue;const r=a.glyphNames.indexOf(t);r>0&&hasGlyph(r)&&(w[e]=r)}}0===w.length&&(w[0]=0);let x=d-1;f||(x=0);if(!a.cssFontInfo){const e=adjustMapping(w,hasGlyph,x,this.toUnicode);this.toFontChar=e.toFontChar;s.cmap={tag:"cmap",data:createCmapTable(e.charCodeToGlyphId,e.toUnicodeExtraMap,d)};s["OS/2"]&&function validateOS2Table(e,t){t.pos=(t.start||0)+e.offset;const a=t.getUint16();t.skip(60);const r\
+=t.getUint16();if(a<4&&768&r)return!1;if(t.getUint16()>t.getUint16())return!1;t.skip(6);if(0===t.getUint16())return!1;e.data[8]=e.data[9]=0;return!0}(s["OS/2"],t)||(s["OS/2"]={tag:"OS/2",data:createOS2Table(a,e.charCodeToGlyphId,y)})}if(!l)try{c=new Stream(s["CFF "].data);o=new CFFParser(c,a,Rr).parse();o.duplicateFirstGlyph();const e=new CFFCompiler(o);s["CFF "].data=e.compile()}catch{warn("Failed to compile font "+a.loadedName)}if(s.name){const[t,r]=readNameTable(s.name);s.name.data=createName\
+Table(e,t);this.psName=t[0][6]||null;a.composite||function adjustTrueTypeToUnicode(e,t,a){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(e.hasEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;if(!t)return;if(0===a.length)return;if(e.defaultEncoding===kr)return;for(const e of a)if(!isWinNameRecord(e))return;const r=kr,i=[],n=Fr();for(const e in r){const t=r[e];if(""===t)continue;const a=n[t];void 0!==a&&(i[e]=String.fromCharCode(a))}i.length>0&&e.toUnicode.a\
+mend(i)}(a,this.isSymbolicFont,r)}else s.name={tag:"name",data:createNameTable(this.name)};const S=new OpenTypeFileBuilder(n.version);for(const e in s)S.addTable(e,s[e].data);return S.toArray()}convert(e,a,r){r.fixedPitch=!1;r.builtInEncoding&&function adjustType1ToUnicode(e,t){if(e.isInternalFont)return;if(e.hasIncludedToUnicodeMap)return;if(t===e.defaultEncoding)return;if(e.toUnicode instanceof IdentityToUnicodeMap)return;const a=[],r=Fr();for(const i in t){if(e.hasEncoding&&(e.baseEncodingNam\
+e||void 0!==e.differences[i]))continue;const n=getUnicodeForGlyph(t[i],r);-1!==n&&(a[i]=String.fromCharCode(n))}a.length>0&&e.toUnicode.amend(a)}(r,r.builtInEncoding);let i=1;a instanceof CFFFont&&(i=a.numGlyphs-1);const n=a.getGlyphMapping(r);let s=null,o=n,c=null;if(!r.cssFontInfo){s=adjustMapping(n,a.hasGlyphId.bind(a),i,this.toUnicode);this.toFontChar=s.toFontChar;o=s.charCodeToGlyphId;c=s.toUnicodeExtraMap}const l=a.numGlyphs;function getCharCodes(e,t){let a=null;for(const r in e)t===e[r]&&\
+(a||=[]).push(0|r);return a}function createCharCode(e,t){for(const a in e)if(t===e[a])return 0|a;s.charCodeToGlyphId[s.nextAvailableFontCharCode]=t;return s.nextAvailableFontCharCode++}const h=a.seacs;if(s&&h?.length){const e=r.fontMatrix||t,i=a.getCharset(),o=Object.create(null);for(let t in h){t|=0;const a=h[t],r=Ar[a[2]],c=Ar[a[3]],l=i.indexOf(r),u=i.indexOf(c);if(l<0||u<0)continue;const d={x:a[0]*e[0]+a[1]*e[2]+e[4],y:a[0]*e[1]+a[1]*e[3]+e[5]},f=getCharCodes(n,t);if(f)for(const e of f){const\
+ t=s.charCodeToGlyphId,a=createCharCode(t,l),r=createCharCode(t,u);o[e]={baseFontCharCode:a,accentFontCharCode:r,accentOffset:d}}}r.seacMap=o}const u=r.fontMatrix?1/Math.max(...r.fontMatrix.slice(0,4).map(Math.abs)):1e3,d=new OpenTypeFileBuilder("OTTO");d.addTable("CFF ",a.data);d.addTable("OS/2",createOS2Table(r,o));d.addTable("cmap",createCmapTable(o,c,l));d.addTable("head","\\0
\\0\\0\\0\\0\\0\\0\\0\\0\\0_<õ\\0\\0"+safeString16(u)+"\\0\\0\\0\\0ž\\v~\'\\0\\0\\0\\0ž\\v~\'\\0\\0"+safeString16(r.descent)+"ÿ"+safeString\
+16(r.ascent)+string16(r.italicAngle?2:0)+"\\0\\0\\0\\0\\0\\0\\0");d.addTable("hhea","\\0
\\0\\0"+safeString16(r.ascent)+safeString16(r.descent)+"\\0\\0ÿÿ\\0\\0\\0\\0\\0\\0"+safeString16(r.capHeight)+safeString16(Math.tan(r.italicAngle)*r.xHeight)+"\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0\\0"+string16(l));d.addTable("hmtx",function fontFieldsHmtx(){const e=a.charstrings,t=a.cff?a.cff.widths:null;let r="\\0\\0\\0\\0";for(let a=1,i=l;a<i;a++){let i=0;if(e){const t=e[a-1];i="width"in t?t.width:0}else t&&(i=Math.ceil(t[a]||0));r+=string16(\
+i)+string16(0)}return r}());d.addTable("maxp","\\0\\0P\\0"+string16(l));d.addTable("name",createNameTable(e));d.addTable("post",createPostTable(r));return d.toArray()}get _spaceWidth(){const e=["space","minus","one","i","I"];let t;for(const a of e){if(a in this.widths){t=this.widths[a];break}const e=Fr()[a];let r=0;if(this.composite&&this.cMap.contains(e)){r=this.cMap.lookup(e);"string"==typeof r&&(r=convertCidString(e,r))}!r&&this.toUnicode&&(r=this.toUnicode.charCodeOf(e));r<=0&&(r=e);t=this.widt\
+hs[r];if(t)break}return shadow(this,"_spaceWidth",t||this.defaultWidth)}_charToGlyph(e,t=!1){let a,r,i,n=this._glyphCache[e];if(n?.isSpace===t)return n;let s=e;if(this.cMap?.contains(e)){s=this.cMap.lookup(e);"string"==typeof s&&(s=convertCidString(e,s))}r=this.widths[s];"number"!=typeof r&&(r=this.defaultWidth);const o=this.vmetrics?.[s];let c=this.toUnicode.get(e)||e;"number"==typeof c&&(c=String.fromCharCode(c));let l=void 0!==this.toFontChar[e];a=this.toFontChar[e]||e;if(this.missingFile){co\
+nst t=this.differences[e]||this.defaultEncoding[e];if((".notdef"===t||""===t)&&"Type1"===this.type){a=32;if(""===t){r||=this._spaceWidth;c=String.fromCharCode(a)}}a=function mapSpecialUnicodeValues(e){return e>=65520&&e<=65535?0:e>=62976&&e<=63743?Tr()[e]||e:173===e?45:e}(a)}this.isType3Font&&(i=a);let h=null;if(this.seacMap?.[e]){l=!0;const t=this.seacMap[e];a=t.baseFontCharCode;h={fontChar:String.fromCodePoint(t.accentFontCharCode),offset:t.accentOffset}}let u="";"number"==typeof a&&(a<=111411\
+1?u=String.fromCodePoint(a):warn(`charToGlyph - invalid fontCharCode: ${a}`));if(this.missingFile&&this.vertical&&1===u.length){const e=_r()[u.charCodeAt(0)];e&&(u=c=String.fromCharCode(e))}n=new fonts_Glyph(e,u,c,h,r,o,i,t,l);return this._glyphCache[e]=n}charsToGlyphs(e){let t=this._charsCache[e];if(t)return t;t=[];if(this.cMap){const a=Object.create(null),r=e.length;let i=0;for(;i<r;){this.cMap.readCharCode(e,i,a);const{charcode:r,length:n}=a;i+=n;const s=this._charToGlyph(r,1===n&&32===e.char\
+CodeAt(i-1));t.push(s)}}else for(let a=0,r=e.length;a<r;++a){const r=e.charCodeAt(a),i=this._charToGlyph(r,32===r);t.push(i)}return this._charsCache[e]=t}getCharPositions(e){const t=[];if(this.cMap){const a=Object.create(null);let r=0;for(;r<e.length;){this.cMap.readCharCode(e,r,a);const i=a.length;t.push([r,r+i]);r+=i}}else for(let a=0,r=e.length;a<r;++a)t.push([a,a+1]);return t}get glyphCacheValues(){return Object.values(this._glyphCache)}encodeString(e){const t=[],a=[],hasCurrentBufErrors=()=\
+>t.length%2==1,r=this.toUnicode instanceof IdentityToUnicodeMap?e=>this.toUnicode.charCodeOf(e):e=>this.toUnicode.charCodeOf(String.fromCodePoint(e));for(let i=0,n=e.length;i<n;i++){const n=e.codePointAt(i);n>55295&&(n<57344||n>65533)&&i++;if(this.toUnicode){const e=r(n);if(-1!==e){if(hasCurrentBufErrors()){t.push(a.join(""));a.length=0}for(let t=(this.cMap?this.cMap.getCharCodeLength(e):1)-1;t>=0;t--)a.push(String.fromCharCode(e>>8*t&255));continue}}if(!hasCurrentBufErrors()){t.push(a.join(""))\
+;a.length=0}a.push(String.fromCodePoint(n))}t.push(a.join(""));return t}}class ErrorFont{constructor(e){this.error=e;this.loadedName="g_font_error";this.missingFile=!0}charsToGlyphs(){return[]}encodeString(e){return[e]}exportData(){return{error:this.error}}}const Si=2,Ai=3,ki=4,Ci=5,vi=6,Fi=7;class Pattern{constructor(){unreachable("Cannot initialize Pattern.")}static parseShading(e,t,a,r,i,n){const s=e instanceof BaseStream?e.dict:e,o=s.get("ShadingType");try{switch(o){case Si:case Ai:return ne\
+w RadialAxialShading(s,t,a,r,i,n);case ki:case Ci:case vi:case Fi:return new MeshShading(e,t,a,r,i,n);default:throw new FormatError("Unsupported ShadingType: "+o)}}catch(e){if(e instanceof MissingDataException)throw e;warn(e);return new DummyShading}}}class BaseShading{static SMALL_NUMBER=1e-6;getIR(){unreachable("Abstract method `getIR` called.")}}class RadialAxialShading extends BaseShading{constructor(e,t,a,r,i,n){super();this.shadingType=e.get("ShadingType");let s=0;this.shadingType===Si?s=4\
+:this.shadingType===Ai&&(s=6);this.coordsArr=e.getArray("Coords");if(!isNumberArray(this.coordsArr,s))throw new FormatError("RadialAxialShading: Invalid /Coords array.");const o=ColorSpaceUtils.parse({cs:e.getRaw("CS")||e.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.bbox=lookupNormalRect(e.getArray("BBox"),null);let c=0,l=1;const h=e.getArray("Domain");isNumberArray(h,2)&&([c,l]=h);let u=!1,d=!1;const f=e.getArray("Extend");(f\
+unction isBooleanArray(e,t){return Array.isArray(e)&&(null===t||e.length===t)&&e.every((e=>"boolean"==typeof e))})(f,2)&&([u,d]=f);if(!(this.shadingType!==Ai||u&&d)){const[e,t,a,r,i,n]=this.coordsArr,s=Math.hypot(e-r,t-i);a<=n+s&&n<=a+s&&warn("Unsupported radial gradient.")}this.extendStart=u;this.extendEnd=d;const g=e.getRaw("Function"),p=r.create(g,!0),m=(l-c)/840,b=this.colorStops=[];if(c>=l||m<=0){info("Bad shading domain.");return}const y=new Float32Array(o.numComps),w=new Float32Array(1);l\
+et x=0;w[0]=c;p(w,0,y,0);const S=new Uint8ClampedArray(3);o.getRgb(y,0,S);let[k,C,v]=S;b.push([0,Util.makeHexColor(k,C,v)]);let F=1;w[0]=c+m;p(w,0,y,0);o.getRgb(y,0,S);let[T,O,M]=S,D=T-k+1,R=O-C+1,N=M-v+1,E=T-k-1,L=O-C-1,j=M-v-1;for(let e=2;e<840;e++){w[0]=c+e*m;p(w,0,y,0);o.getRgb(y,0,S);const[t,a,r]=S,i=e-x;D=Math.min(D,(t-k+1)/i);R=Math.min(R,(a-C+1)/i);N=Math.min(N,(r-v+1)/i);E=Math.max(E,(t-k-1)/i);L=Math.max(L,(a-C-1)/i);j=Math.max(j,(r-v-1)/i);if(!(E<=D&&L<=R&&j<=N)){const e=Util.makeHexC\
+olor(T,O,M);b.push([F/840,e]);D=t-T+1;R=a-O+1;N=r-M+1;E=t-T-1;L=a-O-1;j=r-M-1;x=F;k=T;C=O;v=M}F=e;T=t;O=a;M=r}b.push([1,Util.makeHexColor(T,O,M)]);let _="transparent";e.has("Background")&&(_=o.getRgbHex(e.get("Background"),0));if(!u){b.unshift([0,_]);b[1][0]+=BaseShading.SMALL_NUMBER}if(!d){b.at(-1)[0]-=BaseShading.SMALL_NUMBER;b.push([1,_])}this.colorStops=b}getIR(){const{coordsArr:e,shadingType:t}=this;let a,r,i,n,s;if(t===Si){r=[e[0],e[1]];i=[e[2],e[3]];n=null;s=null;a="axial"}else if(t===Ai)\
+{r=[e[0],e[1]];i=[e[3],e[4]];n=e[2];s=e[5];a="radial"}else unreachable(`getPattern type unknown: ${t}`);return["RadialAxial",a,this.bbox,this.colorStops,r,i,n,s]}}class MeshStreamReader{constructor(e,t){this.stream=e;this.context=t;this.buffer=0;this.bufferLength=0;const a=t.numComps;this.tmpCompsBuf=new Float32Array(a);const r=t.colorSpace.numComps;this.tmpCsCompsBuf=t.colorFn?new Float32Array(r):this.tmpCompsBuf}get hasData(){if(this.stream.end)return this.stream.pos<this.stream.end;if(this.bu\
+fferLength>0)return!0;const e=this.stream.getByte();if(e<0)return!1;this.buffer=e;this.bufferLength=8;return!0}readBits(e){const{stream:t}=this;let{buffer:a,bufferLength:r}=this;if(32===e){if(0===r)return t.getInt32()>>>0;a=a<<24|t.getByte()<<16|t.getByte()<<8|t.getByte();const e=t.getByte();this.buffer=e&(1<<r)-1;return(a<<8-r|(255&e)>>r)>>>0}if(8===e&&0===r)return t.getByte();for(;r<e;){a=a<<8|t.getByte();r+=8}r-=e;this.bufferLength=r;this.buffer=a&(1<<r)-1;return a>>r}align(){this.buffer=0;th\
+is.bufferLength=0}readFlag(){return this.readBits(this.context.bitsPerFlag)}readCoordinate(){const{bitsPerCoordinate:e,decode:t}=this.context,a=this.readBits(e),r=this.readBits(e),i=e<32?1/((1<<e)-1):2.3283064365386963e-10;return[a*i*(t[1]-t[0])+t[0],r*i*(t[3]-t[2])+t[2]]}readComponents(){const{bitsPerComponent:e,colorFn:t,colorSpace:a,decode:r,numComps:i}=this.context,n=e<32?1/((1<<e)-1):2.3283064365386963e-10,s=this.tmpCompsBuf;for(let t=0,a=4;t<i;t++,a+=2){const i=this.readBits(e);s[t]=i*n*(r\
+[a+1]-r[a])+r[a]}const o=this.tmpCsCompsBuf;t?.(s,0,o,0);return a.getRgb(o,0)}}let Ii=Object.create(null);function getB(e){return Ii[e]||=function buildB(e){const t=[];for(let a=0;a<=e;a++){const r=a/e,i=1-r;t.push(new Float32Array([i**3,3*r*i**2,3*r**2*i,r**3]))}return t}(e)}class MeshShading extends BaseShading{static MIN_SPLIT_PATCH_CHUNKS_AMOUNT=3;static MAX_SPLIT_PATCH_CHUNKS_AMOUNT=20;static TRIANGLE_DENSITY=20;constructor(e,t,a,r,i,n){super();if(!(e instanceof BaseStream))throw new Format\
+Error("Mesh data is not a stream");const s=e.dict;this.shadingType=s.get("ShadingType");this.bbox=lookupNormalRect(s.getArray("BBox"),null);const o=ColorSpaceUtils.parse({cs:s.getRaw("CS")||s.getRaw("ColorSpace"),xref:t,resources:a,pdfFunctionFactory:r,globalColorSpaceCache:i,localColorSpaceCache:n});this.background=s.has("Background")?o.getRgb(s.get("Background"),0):null;const c=s.getRaw("Function"),l=c?r.create(c,!0):null;this.coords=[];this.colors=[];this.figures=[];const h={bitsPerCoordinate\
+:s.get("BitsPerCoordinate"),bitsPerComponent:s.get("BitsPerComponent"),bitsPerFlag:s.get("BitsPerFlag"),decode:s.getArray("Decode"),colorFn:l,colorSpace:o,numComps:l?1:o.numComps},u=new MeshStreamReader(e,h);let d=!1;switch(this.shadingType){case ki:this._decodeType4Shading(u);break;case Ci:const e=0|s.get("VerticesPerRow");if(e<2)throw new FormatError("Invalid VerticesPerRow");this._decodeType5Shading(u,e);break;case vi:this._decodeType6Shading(u);d=!0;break;case Fi:this._decodeType7Shading(u);\
+d=!0;break;default:unreachable("Unsupported mesh type.")}if(d){this._updateBounds();for(let e=0,t=this.figures.length;e<t;e++)this._buildFigureFromPatch(e)}this._updateBounds();this._packData()}_decodeType4Shading(e){const t=this.coords,a=this.colors,r=[],i=[];let n=0;for(;e.hasData;){const s=e.readFlag(),o=e.readCoordinate(),c=e.readComponents();if(0===n){if(!(0<=s&&s<=2))throw new FormatError("Unknown type4 flag");switch(s){case 0:n=3;break;case 1:i.push(i.at(-2),i.at(-1));n=1;break;case 2:i.p\
+ush(i.at(-3),i.at(-1));n=1}r.push(s)}i.push(t.length);t.push(o);a.push(c);n--;e.align()}this.figures.push({type:"triangles",coords:new Int32Array(i),colors:new Int32Array(i)})}_decodeType5Shading(e,t){const a=this.coords,r=this.colors,i=[];for(;e.hasData;){const t=e.readCoordinate(),n=e.readComponents();i.push(a.length);a.push(t);r.push(n)}this.figures.push({type:"lattice",coords:new Int32Array(i),colors:new Int32Array(i),verticesPerRow:t})}_decodeType6Shading(e){const t=this.coords,a=this.color\
+s,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type6 flag");const s=t.length;for(let a=0,r=0!==n?8:12;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.readComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8]=s+2;r[11]=s+7;r[4]=s+1;r[7]=s+8;r[0]=s;r[1]=s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];\
+h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[11]=s+3;r[4]=l;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[11]=s+3;r[4]=r[2];r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1\
+];i[1]=o+1}r[5]=t.length;t.push([(-4*t[r[0]][0]-t[r[15]][0]+6*(t[r[4]][0]+t[r[1]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[13]][0]+t[r[7]][0]))/9,(-4*t[r[0]][1]-t[r[15]][1]+6*(t[r[4]][1]+t[r[1]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[13]][1]+t[r[7]][1]))/9]);r[6]=t.length;t.push([(-4*t[r[3]][0]-t[r[12]][0]+6*(t[r[2]][0]+t[r[7]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[4]][0]+t[r[14]][0]))/9,(-4*t[r[3]][1]-t[r[12]][1]+6*(t[r[2]][1]+t[r[7]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[4]][1]+t[r[14]][1]))/9]);r\
+[9]=t.length;t.push([(-4*t[r[12]][0]-t[r[3]][0]+6*(t[r[8]][0]+t[r[13]][0])-2*(t[r[0]][0]+t[r[15]][0])+3*(t[r[11]][0]+t[r[1]][0]))/9,(-4*t[r[12]][1]-t[r[3]][1]+6*(t[r[8]][1]+t[r[13]][1])-2*(t[r[0]][1]+t[r[15]][1])+3*(t[r[11]][1]+t[r[1]][1]))/9]);r[10]=t.length;t.push([(-4*t[r[15]][0]-t[r[0]][0]+6*(t[r[11]][0]+t[r[14]][0])-2*(t[r[12]][0]+t[r[3]][0])+3*(t[r[2]][0]+t[r[8]][0]))/9,(-4*t[r[15]][1]-t[r[0]][1]+6*(t[r[11]][1]+t[r[14]][1])-2*(t[r[12]][1]+t[r[3]][1])+3*(t[r[2]][1]+t[r[8]][1]))/9]);this.fig\
+ures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_decodeType7Shading(e){const t=this.coords,a=this.colors,r=new Int32Array(16),i=new Int32Array(4);for(;e.hasData;){const n=e.readFlag();if(!(0<=n&&n<=3))throw new FormatError("Unknown type7 flag");const s=t.length;for(let a=0,r=0!==n?12:16;a<r;a++)t.push(e.readCoordinate());const o=a.length;for(let t=0,r=0!==n?2:4;t<r;t++)a.push(e.readComponents());let c,l,h,u;switch(n){case 0:r[12]=s+3;r[13]=s+4;r[14]=s+5;r[15]=s+6;r[8\
+]=s+2;r[9]=s+13;r[10]=s+14;r[11]=s+7;r[4]=s+1;r[5]=s+12;r[6]=s+15;r[7]=s+8;r[0]=s;r[1]=s+11;r[2]=s+10;r[3]=s+9;i[2]=o+1;i[3]=o+2;i[0]=o;i[1]=o+3;break;case 1:c=r[12];l=r[13];h=r[14];u=r[15];r[12]=u;r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=h;r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[2];l=i[3];i[2]=l;i[3]=o;i[0]=c;i[1]=o+1;break;case 2:c=r[15];l=r[11];r[12]=r[3];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[7];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=l;r[5]=\
+s+8;r[6]=s+11;r[7]=s+4;r[0]=c;r[1]=s+7;r[2]=s+6;r[3]=s+5;c=i[3];i[2]=i[1];i[3]=o;i[0]=c;i[1]=o+1;break;case 3:r[12]=r[0];r[13]=s+0;r[14]=s+1;r[15]=s+2;r[8]=r[1];r[9]=s+9;r[10]=s+10;r[11]=s+3;r[4]=r[2];r[5]=s+8;r[6]=s+11;r[7]=s+4;r[0]=r[3];r[1]=s+7;r[2]=s+6;r[3]=s+5;i[2]=i[0];i[3]=o;i[0]=i[1];i[1]=o+1}this.figures.push({type:"patch",coords:new Int32Array(r),colors:new Int32Array(i)})}}_buildFigureFromPatch(e){const t=this.figures[e];assert("patch"===t.type,"Unexpected patch mesh figure");const a=\
+this.coords,r=this.colors,i=t.coords,n=t.colors,s=Math.min(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),o=Math.min(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]),c=Math.max(a[i[0]][0],a[i[3]][0],a[i[12]][0],a[i[15]][0]),l=Math.max(a[i[0]][1],a[i[3]][1],a[i[12]][1],a[i[15]][1]);let h=Math.ceil((c-s)*MeshShading.TRIANGLE_DENSITY/(this.bounds[2]-this.bounds[0]));h=MathClamp(h,MeshShading.MIN_SPLIT_PATCH_CHUNKS_AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);let u=Math.ceil((l-o)*MeshShading.TRI\
+ANGLE_DENSITY/(this.bounds[3]-this.bounds[1]));u=MathClamp(u,MeshShading.MIN_SPLIT_PATCH_CHUNKS_AMOUNT,MeshShading.MAX_SPLIT_PATCH_CHUNKS_AMOUNT);const d=h+1,f=new Int32Array((u+1)*d),g=new Int32Array((u+1)*d);let p=0;const m=new Uint8Array(3),b=new Uint8Array(3),y=r[n[0]],w=r[n[1]],x=r[n[2]],S=r[n[3]],k=getB(u),C=getB(h);for(let e=0;e<=u;e++){m[0]=(y[0]*(u-e)+x[0]*e)/u|0;m[1]=(y[1]*(u-e)+x[1]*e)/u|0;m[2]=(y[2]*(u-e)+x[2]*e)/u|0;b[0]=(w[0]*(u-e)+S[0]*e)/u|0;b[1]=(w[1]*(u-e)+S[1]*e)/u|0;b[2]=(w[2\
+]*(u-e)+S[2]*e)/u|0;for(let t=0;t<=h;t++,p++){if(!(0!==e&&e!==u||0!==t&&t!==h))continue;let n=0,s=0,o=0;for(let r=0;r<=3;r++)for(let c=0;c<=3;c++,o++){const l=k[e][r]*C[t][c];n+=a[i[o]][0]*l;s+=a[i[o]][1]*l}f[p]=a.length;a.push([n,s]);g[p]=r.length;const c=new Uint8Array(3);c[0]=(m[0]*(h-t)+b[0]*t)/h|0;c[1]=(m[1]*(h-t)+b[1]*t)/h|0;c[2]=(m[2]*(h-t)+b[2]*t)/h|0;r.push(c)}}f[0]=i[0];g[0]=n[0];f[h]=i[3];g[h]=n[1];f[d*u]=i[12];g[d*u]=n[2];f[d*u+h]=i[15];g[d*u+h]=n[3];this.figures[e]={type:"lattice",c\
+oords:f,colors:g,verticesPerRow:d}}_updateBounds(){let e=this.coords[0][0],t=this.coords[0][1],a=e,r=t;for(let i=1,n=this.coords.length;i<n;i++){const n=this.coords[i][0],s=this.coords[i][1];e=e>n?n:e;t=t>s?s:t;a=a<n?n:a;r=r<s?s:r}this.bounds=[e,t,a,r]}_packData(){let e,t,a,r;const i=this.coords,n=new Float32Array(2*i.length);for(e=0,a=0,t=i.length;e<t;e++){const t=i[e];n[a++]=t[0];n[a++]=t[1]}this.coords=n;const s=this.colors,o=new Uint8Array(3*s.length);for(e=0,a=0,t=s.length;e<t;e++){const t=\
+s[e];o[a++]=t[0];o[a++]=t[1];o[a++]=t[2]}this.colors=o;const c=this.figures;for(e=0,t=c.length;e<t;e++){const t=c[e],i=t.coords,n=t.colors;for(a=0,r=i.length;a<r;a++){i[a]*=2;n[a]*=3}}}getIR(){const{bounds:e}=this;if(e[2]-e[0]==0||e[3]-e[1]==0)throw new FormatError(`Invalid MeshShading bounds: [${e}].`);return["Mesh",this.shadingType,this.coords,this.colors,this.figures,e,this.bbox,this.background]}}class DummyShading extends BaseShading{getIR(){return["Dummy"]}}function getTilingPatternIR(e,t,a\
+){const r=lookupMatrix(t.getArray("Matrix"),Fa),i=lookupNormalRect(t.getArray("BBox"),null);if(!i||i[2]-i[0]==0||i[3]-i[1]==0)throw new FormatError("Invalid getTilingPatternIR /BBox array.");const n=t.get("XStep");if("number"!=typeof n)throw new FormatError("Invalid getTilingPatternIR /XStep value.");const s=t.get("YStep");if("number"!=typeof s)throw new FormatError("Invalid getTilingPatternIR /YStep value.");const o=t.get("PaintType");if(!Number.isInteger(o))throw new FormatError("Invalid getTi\
+lingPatternIR /PaintType value.");const c=t.get("TilingType");if(!Number.isInteger(c))throw new FormatError("Invalid getTilingPatternIR /TilingType value.");return["TilingPattern",a,e,r,i,n,s,o,c]}const Ti=[1.3877,1,1,1,.97801,.92482,.89552,.91133,.81988,.97566,.98152,.93548,.93548,1.2798,.85284,.92794,1,.96134,1.54657,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.91133,.82845,.82845,.85284,.85284,.85284,.75859,.92138,.83908,.7762,.73293,.87289,.73133,.7514,.81921,.87356,.95958\
+,.59526,.75727,.69225,1.04924,.9121,.86943,.79795,.88198,.77958,.70864,.81055,.90399,.88653,.96017,.82577,.77892,.78257,.97507,1.54657,.97507,.85284,.89552,.90176,.88762,.8785,.75241,.8785,.90518,.95015,.77618,.8785,.88401,.91916,.86304,.88401,.91488,.8785,.8801,.8785,.8785,.91343,.7173,1.04106,.8785,.85075,.95794,.82616,.85162,.79492,.88331,1.69808,.88331,.85284,.97801,.89552,.91133,.89552,.91133,1.7801,.89552,1.24487,1.13254,1.12401,.96839,.85284,.68787,.70645,.85592,.90747,1.01466,1.0088,.903\
+23,1,1.07463,1,.91056,.75806,1.19118,.96839,.78864,.82845,.84133,.75859,.83908,.83908,.83908,.83908,.83908,.83908,.77539,.73293,.73133,.73133,.73133,.73133,.95958,.95958,.95958,.95958,.88506,.9121,.86943,.86943,.86943,.86943,.86943,.85284,.87508,.90399,.90399,.90399,.90399,.77892,.79795,.90807,.88762,.88762,.88762,.88762,.88762,.88762,.8715,.75241,.90518,.90518,.90518,.90518,.88401,.88401,.88401,.88401,.8785,.8785,.8801,.8801,.8801,.8801,.8801,.90747,.89049,.8785,.8785,.8785,.8785,.85162,.8785,.\
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+ping:Ki,metrics:rn};e.ArialMT=e.Arial=e["Arial-Regular"]={name:"LiberationSans-Regular",baseWidths:Zi,baseMapping:Qi};e["Arial-BoldMT"]=e["Arial-Bold"]={name:"LiberationSans-Bold",baseWidths:$i,baseMapping:Gi};e["Arial-ItalicMT"]=e["Arial-Italic"]={name:"LiberationSans-Italic",baseWidths:Ji,baseMapping:Yi};e["Arial-BoldItalicMT"]=e["Arial-BoldItalic"]={name:"LiberationSans-BoldItalic",baseWidths:Vi,baseMapping:Ki};e["Calibri-Regular"]={name:"LiberationSans-Regular",factors:Ni,baseWidths:Zi,baseM\
+apping:Qi,metrics:Ei};e["Calibri-Bold"]={name:"LiberationSans-Bold",factors:Ti,baseWidths:$i,baseMapping:Gi,metrics:Oi};e["Calibri-Italic"]={name:"LiberationSans-Italic",factors:Bi,baseWidths:Ji,baseMapping:Yi,metrics:Ri};e["Calibri-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:Mi,baseWidths:Vi,baseMapping:Ki,metrics:Di};e["Segoeui-Regular"]={name:"LiberationSans-Regular",factors:pn,baseWidths:Zi,baseMapping:Qi,metrics:mn};e["Segoeui-Bold"]={name:"LiberationSans-Bold",factors:ln,baseWid\
+ths:$i,baseMapping:Gi,metrics:hn};e["Segoeui-Italic"]={name:"LiberationSans-Italic",factors:fn,baseWidths:Ji,baseMapping:Yi,metrics:gn};e["Segoeui-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:un,baseWidths:Vi,baseMapping:Ki,metrics:dn};e["Helvetica-Regular"]=e.Helvetica={name:"LiberationSans-Regular",factors:Wi,baseWidths:Zi,baseMapping:Qi,metrics:zi};e["Helvetica-Bold"]={name:"LiberationSans-Bold",factors:Pi,baseWidths:$i,baseMapping:Gi,metrics:ji};e["Helvetica-Italic"]={name:"Liberat\
+ionSans-Italic",factors:qi,baseWidths:Ji,baseMapping:Yi,metrics:Hi};e["Helvetica-BoldItalic"]={name:"LiberationSans-BoldItalic",factors:_i,baseWidths:Vi,baseMapping:Ki,metrics:Xi}}));function getXfaFontName(e){const t=normalizeFontName(e);return bn()[t]}function getXfaFontDict(e){const t=function getXfaFontWidths(e){const t=getXfaFontName(e);if(!t)return null;const{baseWidths:a,baseMapping:r,factors:i}=t,n=i?a.map(((e,t)=>e*i[t])):a;let s,o=-2;const c=[];for(const[e,t]of r.map(((e,t)=>[e,t])).so\
+rt((([e],[t])=>e-t)))if(-1!==e)if(e===o+1){s.push(n[t]);o+=1}else{o=e;s=[n[t]];c.push(e,s)}return c}(e),a=new Dict(null);a.set("BaseFont",Name.get(e));a.set("Type",Name.get("Font"));a.set("Subtype",Name.get("CIDFontType2"));a.set("Encoding",Name.get("Identity-H"));a.set("CIDToGIDMap",Name.get("Identity"));a.set("W",t);a.set("FirstChar",t[0]);a.set("LastChar",t.at(-2)+t.at(-1).length-1);const r=new Dict(null);a.set("FontDescriptor",r);const i=new Dict(null);i.set("Ordering","Identity");i.set("Reg\
+istry","Adobe");i.set("Supplement",0);a.set("CIDSystemInfo",i);return a}class PostScriptParser{constructor(e){this.lexer=e;this.operators=[];this.token=null;this.prev=null}nextToken(){this.prev=this.token;this.token=this.lexer.getToken()}accept(e){if(this.token.type===e){this.nextToken();return!0}return!1}expect(e){if(this.accept(e))return!0;throw new FormatError(`Unexpected symbol: found ${this.token.type} expected ${e}.`)}parse(){this.nextToken();this.expect(yn.LBRACE);this.parseBlock();this.e\
+xpect(yn.RBRACE);return this.operators}parseBlock(){for(;;)if(this.accept(yn.NUMBER))this.operators.push(this.prev.value);else if(this.accept(yn.OPERATOR))this.operators.push(this.prev.value);else{if(!this.accept(yn.LBRACE))return;this.parseCondition()}}parseCondition(){const e=this.operators.length;this.operators.push(null,null);this.parseBlock();this.expect(yn.RBRACE);if(this.accept(yn.IF)){this.operators[e]=this.operators.length;this.operators[e+1]="jz"}else{if(!this.accept(yn.LBRACE))throw n\
+ew FormatError("PS Function: error parsing conditional.");{const t=this.operators.length;this.operators.push(null,null);const a=this.operators.length;this.parseBlock();this.expect(yn.RBRACE);this.expect(yn.IFELSE);this.operators[t]=this.operators.length;this.operators[t+1]="j";this.operators[e]=a;this.operators[e+1]="jz"}}}}const yn={LBRACE:0,RBRACE:1,NUMBER:2,OPERATOR:3,IF:4,IFELSE:5};class PostScriptToken{static get opCache(){return shadow(this,"opCache",Object.create(null))}constructor(e,t){t\
+his.type=e;this.value=t}static getOperator(e){return PostScriptToken.opCache[e]||=new PostScriptToken(yn.OPERATOR,e)}static get LBRACE(){return shadow(this,"LBRACE",new PostScriptToken(yn.LBRACE,"{"))}static get RBRACE(){return shadow(this,"RBRACE",new PostScriptToken(yn.RBRACE,"}"))}static get IF(){return shadow(this,"IF",new PostScriptToken(yn.IF,"IF"))}static get IFELSE(){return shadow(this,"IFELSE",new PostScriptToken(yn.IFELSE,"IFELSE"))}}class PostScriptLexer{constructor(e){this.stream=e;t\
+his.nextChar();this.strBuf=[]}nextChar(){return this.currentChar=this.stream.getByte()}getToken(){let e=!1,t=this.currentChar;for(;;){if(t<0)return wa;if(e)10!==t&&13!==t||(e=!1);else if(37===t)e=!0;else if(!isWhiteSpace(t))break;t=this.nextChar()}switch(0|t){case 48:case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:case 43:case 45:case 46:return new PostScriptToken(yn.NUMBER,this.getNumber());case 123:this.nextChar();return PostScriptToken.LBRACE;case 125:this.nextChar();r\
+eturn PostScriptToken.RBRACE}const a=this.strBuf;a.length=0;a[0]=String.fromCharCode(t);for(;(t=this.nextChar())>=0&&(t>=65&&t<=90||t>=97&&t<=122);)a.push(String.fromCharCode(t));const r=a.join("");switch(r.toLowerCase()){case"if":return PostScriptToken.IF;case"ifelse":return PostScriptToken.IFELSE;default:return PostScriptToken.getOperator(r)}}getNumber(){let e=this.currentChar;const t=this.strBuf;t.length=0;t[0]=String.fromCharCode(e);for(;(e=this.nextChar())>=0&&(e>=48&&e<=57||45===e||46===e)\
+;)t.push(String.fromCharCode(e));const a=parseFloat(t.join(""));if(isNaN(a))throw new FormatError(`Invalid floating point number: ${a}`);return a}}class BaseLocalCache{constructor(e){this._onlyRefs=!0===e?.onlyRefs;if(!this._onlyRefs){this._nameRefMap=new Map;this._imageMap=new Map}this._imageCache=new RefSetCache}getByName(e){this._onlyRefs&&unreachable("Should not call `getByName` method.");const t=this._nameRefMap.get(e);return t?this.getByRef(t):this._imageMap.get(e)||null}getByRef(e){return\
+ this._imageCache.get(e)||null}set(e,t,a){unreachable("Abstract method `set` called.")}}class LocalImageCache extends BaseLocalCache{set(e,t=null,a){if("string"!=typeof e)throw new Error(\'LocalImageCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalColorSpaceCache extends BaseLocalCache{set(e=null,t=null,a){if("string"!=typeof e&&!t)throw new Error(\'Loc\
+alColorSpaceCache.set - expected "name" and/or "ref" argument.\');if(t){if(this._imageCache.has(t))return;null!==e&&this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalFunctionCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalFunctionCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class LocalGStateCache extends BaseLocalCache{set(e,t\
+=null,a){if("string"!=typeof e)throw new Error(\'LocalGStateCache.set - expected "name" argument.\');if(t){if(this._imageCache.has(t))return;this._nameRefMap.set(e,t);this._imageCache.put(t,a)}else this._imageMap.has(e)||this._imageMap.set(e,a)}}class LocalTilingPatternCache extends BaseLocalCache{constructor(e){super({onlyRefs:!0})}set(e=null,t,a){if(!t)throw new Error(\'LocalTilingPatternCache.set - expected "ref" argument.\');this._imageCache.has(t)||this._imageCache.put(t,a)}}class RegionalImage\
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+tic NUM_PAGES_THRESHOLD=2;static MIN_IMAGES_TO_CACHE=10;static MAX_BYTE_SIZE=5e7;#H=new RefSet;constructor(){this._refCache=new RefSetCache;this._imageCache=new RefSetCache}get#W(){let e=0;for(const t of this._imageCache)e+=t.byteSize;return e}get#z(){return!(this._imageCache.size<GlobalImageCache.MIN_IMAGES_TO_CACHE)&&!(this.#W<GlobalImageCache.MAX_BYTE_SIZE)}shouldCache(e,t){let a=this._refCache.get(e);if(!a){a=new Set;this._refCache.put(e,a)}a.add(t);return!(a.size<GlobalImageCache.NUM_PAGES_\
+THRESHOLD)&&!(!this._imageCache.has(e)&&this.#z)}addDecodeFailed(e){this.#H.put(e)}hasDecodeFailed(e){return this.#H.has(e)}addByteSize(e,t){const a=this._imageCache.get(e);a&&(a.byteSize||(a.byteSize=t))}getData(e,t){const a=this._refCache.get(e);if(!a)return null;if(a.size<GlobalImageCache.NUM_PAGES_THRESHOLD)return null;const r=this._imageCache.get(e);if(!r)return null;a.add(t);return r}setData(e,t){if(!this._refCache.has(e))throw new Error(\'GlobalImageCache.setData - expected "shouldCache" t\
+o have been called.\');this._imageCache.has(e)||(this.#z?warn("GlobalImageCache.setData - cache limit reached."):this._imageCache.put(e,t))}clear(e=!1){if(!e){this.#H.clear();this._refCache.clear()}this._imageCache.clear()}}class PDFFunctionFactory{constructor({xref:e,isEvalSupported:t=!0}){this.xref=e;this.isEvalSupported=!1!==t}create(e,t=!1){let a,r;e instanceof Ref?a=e:e instanceof Dict?a=e.objId:e instanceof BaseStream&&(a=e.dict?.objId);if(a){const e=this._localFunctionCache.getByRef(a);if(\
+e)return e}const i=this.xref.fetchIfRef(e);if(Array.isArray(i)){if(!t)throw new Error(\'PDFFunctionFactory.create - expected "parseArray" argument.\');r=PDFFunction.parseArray(this,i)}else r=PDFFunction.parse(this,i);a&&this._localFunctionCache.set(null,a,r);return r}get _localFunctionCache(){return shadow(this,"_localFunctionCache",new LocalFunctionCache)}}function toNumberArray(e){return Array.isArray(e)?isNumberArray(e,null)?e:e.map((e=>+e)):null}class PDFFunction{static getSampleArray(e,t,a,r)\
+{let i,n,s=1;for(i=0,n=e.length;i<n;i++)s*=e[i];s*=t;const o=new Array(s);let c=0,l=0;const h=1/(2**a-1),u=r.getBytes((s*a+7)/8);let d=0;for(i=0;i<s;i++){for(;c<a;){l<<=8;l|=u[d++];c+=8}c-=a;o[i]=(l>>c)*h;l&=(1<<c)-1}return o}static parse(e,t){const a=t.dict||t;switch(a.get("FunctionType")){case 0:return this.constructSampled(e,t,a);case 1:break;case 2:return this.constructInterpolated(e,a);case 3:return this.constructStiched(e,a);case 4:return this.constructPostScript(e,t,a)}throw new FormatErr\
+or("Unknown type of function")}static parseArray(e,t){const{xref:a}=e,r=[];for(const i of t)r.push(this.parse(e,a.fetchIfRef(i)));return function(e,t,a,i){for(let n=0,s=r.length;n<s;n++)r[n](e,t,a,i+n)}}static constructSampled(e,t,a){function toMultiArray(e){const t=e.length,a=[];let r=0;for(let i=0;i<t;i+=2)a[r++]=[e[i],e[i+1]];return a}function interpolate(e,t,a,r,i){return r+(i-r)/(a-t)*(e-t)}let r=toNumberArray(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r||!i)throw new Fo\
+rmatError("No domain or range");const n=r.length/2,s=i.length/2;r=toMultiArray(r);i=toMultiArray(i);const o=toNumberArray(a.getArray("Size")),c=a.get("BitsPerSample"),l=a.get("Order")||1;1!==l&&info("No support for cubic spline interpolation: "+l);let h=toNumberArray(a.getArray("Encode"));if(h)h=toMultiArray(h);else{h=[];for(let e=0;e<n;++e)h.push([0,o[e]-1])}let u=toNumberArray(a.getArray("Decode"));u=u?toMultiArray(u):i;const d=this.getSampleArray(o,s,c,t);return function constructSampledFn(e,\
+t,a,c){const l=1<<n,f=new Float64Array(l).fill(1),g=new Uint32Array(l);let p,m,b=s,y=1;for(p=0;p<n;++p){const a=r[p][0],i=r[p][1];let n=interpolate(MathClamp(e[t+p],a,i),a,i,h[p][0],h[p][1]);const s=o[p];n=MathClamp(n,0,s-1);const c=n<s-1?Math.floor(n):n-1,u=c+1-n,d=n-c,w=c*b,x=w+b;for(m=0;m<l;m++)if(m&y){f[m]*=d;g[m]+=x}else{f[m]*=u;g[m]+=w}b*=s;y<<=1}for(m=0;m<s;++m){let e=0;for(p=0;p<l;p++)e+=d[g[p]+m]*f[p];e=interpolate(e,0,1,u[m][0],u[m][1]);a[c+m]=MathClamp(e,i[m][0],i[m][1])}}}static cons\
+tructInterpolated(e,t){const a=toNumberArray(t.getArray("C0"))||[0],r=toNumberArray(t.getArray("C1"))||[1],i=t.get("N"),n=[];for(let e=0,t=a.length;e<t;++e)n.push(r[e]-a[e]);const s=n.length;return function constructInterpolatedFn(e,t,r,o){const c=1===i?e[t]:e[t]**i;for(let e=0;e<s;++e)r[o+e]=a[e]+c*n[e]}}static constructStiched(e,t){const a=toNumberArray(t.getArray("Domain"));if(!a)throw new FormatError("No domain");if(1!==a.length/2)throw new FormatError("Bad domain for stiched function");cons\
+t{xref:r}=e,i=[];for(const a of t.get("Functions"))i.push(this.parse(e,r.fetchIfRef(a)));const n=toNumberArray(t.getArray("Bounds")),s=toNumberArray(t.getArray("Encode")),o=new Float32Array(1);return function constructStichedFn(e,t,r,c){const l=MathClamp(e[t],a[0],a[1]),h=n.length;let u;for(u=0;u<h&&!(l<n[u]);++u);let d=a[0];u>0&&(d=n[u-1]);let f=a[1];u<n.length&&(f=n[u]);const g=s[2*u],p=s[2*u+1];o[0]=d===f?g:g+(l-d)*(p-g)/(f-d);i[u](o,0,r,c)}}static constructPostScript(e,t,a){const r=toNumberA\
+rray(a.getArray("Domain")),i=toNumberArray(a.getArray("Range"));if(!r)throw new FormatError("No domain.");if(!i)throw new FormatError("No range.");const n=new PostScriptLexer(t),s=new PostScriptParser(n).parse();if(e.isEvalSupported&&FeatureTest.isEvalSupported){const e=(new PostScriptCompiler).compile(s,r,i);if(e)return new Function("src","srcOffset","dest","destOffset",e)}info("Unable to compile PS function");const o=i.length>>1,c=r.length>>1,l=new PostScriptEvaluator(s),h=Object.create(null);\
+let u=8192;const d=new Float32Array(c);return function constructPostScriptFn(e,t,a,r){let n,s,f="";const g=d;for(n=0;n<c;n++){s=e[t+n];g[n]=s;f+=s+"_"}const p=h[f];if(void 0!==p){a.set(p,r);return}const m=new Float32Array(o),b=l.execute(g),y=b.length-o;for(n=0;n<o;n++){s=b[y+n];let e=i[2*n];if(s<e)s=e;else{e=i[2*n+1];s>e&&(s=e)}m[n]=s}if(u>0){u--;h[f]=m}a.set(m,r)}}}function isPDFFunction(e){let t;if(e instanceof Dict)t=e;else{if(!(e instanceof BaseStream))return!1;t=e.dict}return t.has("Functio\
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+h-e,r=e-1;r>=0;r--,a++)t.push(t[a])}index(e){this.push(this.stack[this.stack.length-e-1])}roll(e,t){const a=this.stack,r=a.length-e,i=a.length-1,n=r+(t-Math.floor(t/e)*e);for(let e=r,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=r,t=n-1;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}for(let e=n,t=i;e<t;e++,t--){const r=a[e];a[e]=a[t];a[t]=r}}}class PostScriptEvaluator{constructor(e){this.operators=e}execute(e){const t=new PostScriptStack(e);let a=0;const r=this.operators,i=r.length;let n,\
+s,o;for(;a<i;){n=r[a++];if("number"!=typeof n)switch(n){case"jz":o=t.pop();s=t.pop();s||(a=o);break;case"j":s=t.pop();a=s;break;case"abs":s=t.pop();t.push(Math.abs(s));break;case"add":o=t.pop();s=t.pop();t.push(s+o);break;case"and":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s&&o):t.push(s&o);break;case"atan":o=t.pop();s=t.pop();s=Math.atan2(s,o)/Math.PI*180;s<0&&(s+=360);t.push(s);break;case"bitshift":o=t.pop();s=t.pop();s>0?t.push(s<<o):t.push(s>>o);break;case"ceiling":\
+s=t.pop();t.push(Math.ceil(s));break;case"copy":s=t.pop();t.copy(s);break;case"cos":s=t.pop();t.push(Math.cos(s%360/180*Math.PI));break;case"cvi":s=0|t.pop();t.push(s);break;case"cvr":break;case"div":o=t.pop();s=t.pop();t.push(s/o);break;case"dup":t.copy(1);break;case"eq":o=t.pop();s=t.pop();t.push(s===o);break;case"exch":t.roll(2,1);break;case"exp":o=t.pop();s=t.pop();t.push(s**o);break;case"false":t.push(!1);break;case"floor":s=t.pop();t.push(Math.floor(s));break;case"ge":o=t.pop();s=t.pop();t\
+.push(s>=o);break;case"gt":o=t.pop();s=t.pop();t.push(s>o);break;case"idiv":o=t.pop();s=t.pop();t.push(s/o|0);break;case"index":s=t.pop();t.index(s);break;case"le":o=t.pop();s=t.pop();t.push(s<=o);break;case"ln":s=t.pop();t.push(Math.log(s));break;case"log":s=t.pop();t.push(Math.log10(s));break;case"lt":o=t.pop();s=t.pop();t.push(s<o);break;case"mod":o=t.pop();s=t.pop();t.push(s%o);break;case"mul":o=t.pop();s=t.pop();t.push(s*o);break;case"ne":o=t.pop();s=t.pop();t.push(s!==o);break;case"neg":s=\
+t.pop();t.push(-s);break;case"not":s=t.pop();"boolean"==typeof s?t.push(!s):t.push(~s);break;case"or":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s||o):t.push(s|o);break;case"pop":t.pop();break;case"roll":o=t.pop();s=t.pop();t.roll(s,o);break;case"round":s=t.pop();t.push(Math.round(s));break;case"sin":s=t.pop();t.push(Math.sin(s%360/180*Math.PI));break;case"sqrt":s=t.pop();t.push(Math.sqrt(s));break;case"sub":o=t.pop();s=t.pop();t.push(s-o);break;case"true":t.push(!0);bre\
+ak;case"truncate":s=t.pop();s=s<0?Math.ceil(s):Math.floor(s);t.push(s);break;case"xor":o=t.pop();s=t.pop();"boolean"==typeof s&&"boolean"==typeof o?t.push(s!==o):t.push(s^o);break;default:throw new FormatError(`Unknown operator ${n}`)}else t.push(n)}return t.stack}}class AstNode{constructor(e){this.type=e}visit(e){unreachable("abstract method")}}class AstArgument extends AstNode{constructor(e,t,a){super("args");this.index=e;this.min=t;this.max=a}visit(e){e.visitArgument(this)}}class AstLiteral e\
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+AstLiteral(e.number+t.number):new AstBinaryOperation("+",e,t,e.min+t.min,e.max+t.max)}function buildMulOperation(e,t){if("literal"===t.type){if(0===t.number)return new AstLiteral(0);if(1===t.number)return e;if("literal"===e.type)return new AstLiteral(e.number*t.number)}if("literal"===e.type){if(0===e.number)return new AstLiteral(0);if(1===e.number)return t}const a=Math.min(e.min*t.min,e.min*t.max,e.max*t.min,e.max*t.max),r=Math.max(e.min*t.min,e.min*t.max,e.max*t.min,e.max*t.max);return new AstB\
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+?c[n]+=1:"AN"!==d&&"EN"!==d||(c[n]+=2):"L"!==d&&"AN"!==d&&"EN"!==d||(c[n]+=1)}let g,p=-1,m=99;for(n=0,s=c.length;n<s;++n){g=c[n];p<g&&(p=g);m>g&&isOdd(g)&&(m=g)}for(g=p;g>=m;--g){let e=-1;for(n=0,s=c.length;n<s;++n)if(c[n]<g){if(e>=0){reverseValues(Sn,e,n);e=-1}}else e<0&&(e=n);e>=0&&reverseValues(Sn,e,c.length)}for(n=0,s=Sn.length;n<s;++n){const e=Sn[n];"<"!==e&&">"!==e||(Sn[n]="")}return createBidiText(Sn.join(""),r)}const kn={style:"normal",weight:"normal"},Cn={style:"normal",weight:"bold"},v\
+n={style:"italic",weight:"normal"},Fn={style:"italic",weight:"bold"},In=new Map([["Times-Roman",{local:["Times New Roman","Times-Roman","Times","Liberation Serif","Nimbus Roman","Nimbus Roman L","Tinos","Thorndale","TeX Gyre Termes","FreeSerif","Linux Libertine O","Libertinus Serif","DejaVu Serif","Bitstream Vera Serif","Ubuntu"],style:kn,ultimate:"serif"}],["Times-Bold",{alias:"Times-Roman",style:Cn,ultimate:"serif"}],["Times-Italic",{alias:"Times-Roman",style:vn,ultimate:"serif"}],["Times-Bold\
+Italic",{alias:"Times-Roman",style:Fn,ultimate:"serif"}],["Helvetica",{local:["Helvetica","Helvetica Neue","Arial","Arial Nova","Liberation Sans","Arimo","Nimbus Sans","Nimbus Sans L","A030","TeX Gyre Heros","FreeSans","DejaVu Sans","Albany","Bitstream Vera Sans","Arial Unicode MS","Microsoft Sans Serif","Apple Symbols","Cantarell"],path:"LiberationSans-Regular.ttf",style:kn,ultimate:"sans-serif"}],["Helvetica-Bold",{alias:"Helvetica",path:"LiberationSans-Bold.ttf",style:Cn,ultimate:"sans-serif"\
+}],["Helvetica-Oblique",{alias:"Helvetica",path:"LiberationSans-Italic.ttf",style:vn,ultimate:"sans-serif"}],["Helvetica-BoldOblique",{alias:"Helvetica",path:"LiberationSans-BoldItalic.ttf",style:Fn,ultimate:"sans-serif"}],["Courier",{local:["Courier","Courier New","Liberation Mono","Nimbus Mono","Nimbus Mono L","Cousine","Cumberland","TeX Gyre Cursor","FreeMono","Linux Libertine Mono O","Libertinus Mono"],style:kn,ultimate:"monospace"}],["Courier-Bold",{alias:"Courier",style:Cn,ultimate:"monosp\
+ace"}],["Courier-Oblique",{alias:"Courier",style:vn,ultimate:"monospace"}],["Courier-BoldOblique",{alias:"Courier",style:Fn,ultimate:"monospace"}],["ArialBlack",{local:["Arial Black"],style:{style:"normal",weight:"900"},fallback:"Helvetica-Bold"}],["ArialBlack-Bold",{alias:"ArialBlack"}],["ArialBlack-Italic",{alias:"ArialBlack",style:{style:"italic",weight:"900"},fallback:"Helvetica-BoldOblique"}],["ArialBlack-BoldItalic",{alias:"ArialBlack-Italic"}],["ArialNarrow",{local:["Arial Narrow","Libera\
+tion Sans Narrow","Helvetica Condensed","Nimbus Sans Narrow","TeX Gyre Heros Cn"],style:kn,fallback:"Helvetica"}],["ArialNarrow-Bold",{alias:"ArialNarrow",style:Cn,fallback:"Helvetica-Bold"}],["ArialNarrow-Italic",{alias:"ArialNarrow",style:vn,fallback:"Helvetica-Oblique"}],["ArialNarrow-BoldItalic",{alias:"ArialNarrow",style:Fn,fallback:"Helvetica-BoldOblique"}],["Calibri",{local:["Calibri","Carlito"],style:kn,fallback:"Helvetica"}],["Calibri-Bold",{alias:"Calibri",style:Cn,fallback:"Helvetica-\
+Bold"}],["Calibri-Italic",{alias:"Calibri",style:vn,fallback:"Helvetica-Oblique"}],["Calibri-BoldItalic",{alias:"Calibri",style:Fn,fallback:"Helvetica-BoldOblique"}],["Wingdings",{local:["Wingdings","URW Dingbats"],style:kn}],["Wingdings-Regular",{alias:"Wingdings"}],["Wingdings-Bold",{alias:"Wingdings"}]]),Tn=new Map([["Arial-Black","ArialBlack"]]);function getFamilyName(e){const t=new Set(["thin","extralight","ultralight","demilight","semilight","light","book","regular","normal","medium","demi\
+bold","semibold","bold","extrabold","ultrabold","black","heavy","extrablack","ultrablack","roman","italic","oblique","ultracondensed","extracondensed","condensed","semicondensed","normal","semiexpanded","expanded","extraexpanded","ultraexpanded","bolditalic"]);return e.split(/[- ,+]+/g).filter((e=>!t.has(e.toLowerCase()))).join(" ")}function generateFont({alias:e,local:t,path:a,fallback:r,style:i,ultimate:n},s,o,c=!0,l=!0,h=""){const u={style:null,ultimate:null};if(t){const e=h?` ${h}`:"";for(co\
+nst a of t)s.push(`local(${a}${e})`)}if(e){const t=In.get(e),n=h||function getStyleToAppend(e){switch(e){case Cn:return"Bold";case vn:return"Italic";case Fn:return"Bold Italic";default:if("bold"===e?.weight)return"Bold";if("italic"===e?.style)return"Italic"}return""}(i);Object.assign(u,generateFont(t,s,o,c&&!r,l&&!a,n))}i&&(u.style=i);n&&(u.ultimate=n);if(c&&r){const e=In.get(r),{ultimate:t}=generateFont(e,s,o,c,l&&!a,h);u.ultimate||=t}l&&a&&o&&s.push(`url(${o}${a})`);return u}function getFontSu\
+bstitution(e,t,a,r,i,n){if(r.startsWith("InvalidPDFjsFont_"))return null;"TrueType"!==n&&"Type1"!==n||!/^[A-Z]{6}\\+/.test(r)||(r=r.slice(7));const s=r=normalizeFontName(r);let o=e.get(s);if(o)return o;let c=In.get(r);if(!c)for(const[e,t]of Tn)if(r.startsWith(e)){r=`${t}${r.substring(e.length)}`;c=In.get(r);break}let l=!1;if(!c){c=In.get(i);l=!0}const h=`${t.getDocId()}_s${t.createFontId()}`;if(!c){if(!validateFontName(r)){warn(`Cannot substitute the font because of its name: ${r}`);e.set(s,null)\
+;return null}const t=/bold/gi.test(r),a=/oblique|italic/gi.test(r),i=t&&a&&Fn||t&&Cn||a&&vn||kn;o={css:`"${getFamilyName(r)}",${h}`,guessFallback:!0,loadedName:h,baseFontName:r,src:`local(${r})`,style:i};e.set(s,o);return o}const u=[];l&&validateFontName(r)&&u.push(`local(${r})`);const{style:d,ultimate:f}=generateFont(c,u,a),g=null===f,p=g?"":`,${f}`;o={css:`"${getFamilyName(r)}",${h}${p}`,guessFallback:g,loadedName:h,baseFontName:r,src:u.join(","),style:d};e.set(s,o);return o}const On=328537752\
+0,Mn=4294901760,Dn=65535;class MurmurHash3_64{constructor(e){this.h1=e?4294967295&e:On;this.h2=e?4294967295&e:On}update(e){let t,a;if("string"==typeof e){t=new Uint8Array(2*e.length);a=0;for(let r=0,i=e.length;r<i;r++){const i=e.charCodeAt(r);if(i<=255)t[a++]=i;else{t[a++]=i>>>8;t[a++]=255&i}}}else{if(!ArrayBuffer.isView(e))throw new Error("Invalid data format, must be a string or TypedArray.");t=e.slice();a=t.byteLength}const r=a>>2,i=a-4*r,n=new Uint32Array(t.buffer,0,r);let s=0,o=0,c=this.h1,\
+l=this.h2;const h=3432918353,u=461845907,d=11601,f=13715;for(let e=0;e<r;e++)if(1&e){s=n[e];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;c^=s;c=c<<13|c>>>19;c=5*c+3864292196}else{o=n[e];o=o*h&Mn|o*d&Dn;o=o<<15|o>>>17;o=o*u&Mn|o*f&Dn;l^=o;l=l<<13|l>>>19;l=5*l+3864292196}s=0;switch(i){case 3:s^=t[4*r+2]<<16;case 2:s^=t[4*r+1]<<8;case 1:s^=t[4*r];s=s*h&Mn|s*d&Dn;s=s<<15|s>>>17;s=s*u&Mn|s*f&Dn;1&r?c^=s:l^=s}this.h1=c;this.h2=l}hexdigest(){let e=this.h1,t=this.h2;e^=t>>>1;e=3981806797*e&Mn|36045*e&\
+Dn;t=4283543511*t&Mn|(2950163797*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;e=444984403*e&Mn|60499*e&Dn;t=3301882366*t&Mn|(3120437893*(t<<16|e>>>16)&Mn)>>>16;e^=t>>>1;return(e>>>0).toString(16).padStart(8,"0")+(t>>>0).toString(16).padStart(8,"0")}}function resizeImageMask(e,t,a,r,i,n){const s=i*n;let o;o=t<=8?new Uint8Array(s):t<=16?new Uint16Array(s):new Uint32Array(s);const c=a/i,l=r/n;let h,u,d,f,g=0;const p=new Uint16Array(i),m=a;for(h=0;h<i;h++)p[h]=Math.floor(h*c);for(h=0;h<n;h++){d=Math.floor(h*l)*\
+m;for(u=0;u<i;u++){f=d+p[u];o[g++]=e[f]}}return o}class PDFImage{constructor({xref:e,res:t,image:a,isInline:r=!1,smask:i=null,mask:n=null,isMask:s=!1,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l}){this.image=a;const h=a.dict,u=h.get("F","Filter");let d;if(u instanceof Name)d=u.name;else if(Array.isArray(u)){const t=e.fetchIfRef(u[0]);t instanceof Name&&(d=t.name)}switch(d){case"JPXDecode":({width:a.width,height:a.height,componentsCount:a.numComps,bitsPerComponent:a.bitsPer\
+Component}=JpxImage.parseImageProperties(a.stream));a.stream.reset();const e=ImageResizer.getReducePowerForJPX(a.width,a.height,a.numComps);this.jpxDecoderOptions={numComponents:0,isIndexedColormap:!1,smaskInData:h.has("SMaskInData"),reducePower:e};if(e){const t=2**e;a.width=Math.ceil(a.width/t);a.height=Math.ceil(a.height/t)}break;case"JBIG2Decode":a.bitsPerComponent=1;a.numComps=1}let f=h.get("W","Width"),g=h.get("H","Height");if(Number.isInteger(a.width)&&a.width>0&&Number.isInteger(a.height)\
+&&a.height>0&&(a.width!==f||a.height!==g)){warn("PDFImage - using the Width/Height of the image data, rather than the image dictionary.");f=a.width;g=a.height}else{const e="number"==typeof f&&f>0,t="number"==typeof g&&g>0;if(!e||!t){if(!a.fallbackDims)throw new FormatError(`Invalid image width: ${f} or height: ${g}`);warn("PDFImage - using the Width/Height of the parent image, for SMask/Mask data.");e||(f=a.fallbackDims.width);t||(g=a.fallbackDims.height)}}this.width=f;this.height=g;this.interpo\
+late=h.get("I","Interpolate");this.imageMask=h.get("IM","ImageMask")||!1;this.matte=h.get("Matte")||!1;let p=a.bitsPerComponent;if(!p){p=h.get("BPC","BitsPerComponent");if(!p){if(!this.imageMask)throw new FormatError(`Bits per component missing in image: ${this.imageMask}`);p=1}}this.bpc=p;if(!this.imageMask){let i=h.getRaw("CS")||h.getRaw("ColorSpace");const n=!!i;if(n)this.jpxDecoderOptions?.smaskInData&&(i=Name.get("DeviceRGBA"));else if(this.jpxDecoderOptions)i=Name.get("DeviceRGBA");else sw\
+itch(a.numComps){case 1:i=Name.get("DeviceGray");break;case 3:i=Name.get("DeviceRGB");break;case 4:i=Name.get("DeviceCMYK");break;default:throw new Error(`Images with ${a.numComps} color components not supported.`)}this.colorSpace=ColorSpaceUtils.parse({cs:i,xref:e,resources:r?t:null,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l});this.numComps=this.colorSpace.numComps;if(this.jpxDecoderOptions){this.jpxDecoderOptions.numComponents=n?this.numComps:0;this.jpxDecoderOptions.i\
+sIndexedColormap="Indexed"===this.colorSpace.name}}this.decode=h.getArray("D","Decode");this.needsDecode=!1;if(this.decode&&(this.colorSpace&&!this.colorSpace.isDefaultDecode(this.decode,p)||s&&!ColorSpace.isDefaultDecode(this.decode,1))){this.needsDecode=!0;const e=(1<<p)-1;this.decodeCoefficients=[];this.decodeAddends=[];const t="Indexed"===this.colorSpace?.name;for(let a=0,r=0;a<this.decode.length;a+=2,++r){const i=this.decode[a],n=this.decode[a+1];this.decodeCoefficients[r]=t?(n-i)/e:n-i;thi\
+s.decodeAddends[r]=t?i:e*i}}if(i){i.fallbackDims??={width:f,height:g};this.smask=new PDFImage({xref:e,res:t,image:i,isInline:r,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l})}else if(n)if(n instanceof BaseStream){if(n.dict.get("IM","ImageMask")){n.fallbackDims??={width:f,height:g};this.mask=new PDFImage({xref:e,res:t,image:n,isInline:r,isMask:!0,pdfFunctionFactory:o,globalColorSpaceCache:c,localColorSpaceCache:l})}else warn("Ignoring /Mask in image without /ImageMask.")}els\
+e this.mask=n}static async buildImage({xref:e,res:t,image:a,isInline:r=!1,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceCache:s}){const o=a;let c=null,l=null;const h=a.dict.get("SMask"),u=a.dict.get("Mask");h?h instanceof BaseStream?c=h:warn("Unsupported /SMask format."):u&&(u instanceof BaseStream||Array.isArray(u)?l=u:warn("Unsupported /Mask format."));return new PDFImage({xref:e,res:t,image:o,isInline:r,smask:c,mask:l,pdfFunctionFactory:i,globalColorSpaceCache:n,localColorSpaceC\
+ache:s})}static async createMask({image:e,isOffscreenCanvasSupported:t=!1}){const{dict:a}=e,r=a.get("W","Width"),i=a.get("H","Height"),n=a.get("I","Interpolate"),s=a.getArray("D","Decode"),o=s?.[0]>0,c=(r+7>>3)*i,l=e.getBytes(c),h=1===r&&1===i&&o===(0===l.length||!!(128&l[0]));if(h)return{isSingleOpaquePixel:h};if(t){if(ImageResizer.needsToBeResized(r,i)){const e=new Uint8ClampedArray(r*i*4);convertBlackAndWhiteToRGBA({src:l,dest:e,width:r,height:i,nonBlackColor:0,inverseDecode:o});return ImageR\
+esizer.createImage({kind:v,data:e,width:r,height:i,interpolate:n})}const e=new OffscreenCanvas(r,i),t=e.getContext("2d"),a=t.createImageData(r,i);convertBlackAndWhiteToRGBA({src:l,dest:a.data,width:r,height:i,nonBlackColor:0,inverseDecode:o});t.putImageData(a,0,0);return{data:null,width:r,height:i,interpolate:n,bitmap:e.transferToImageBitmap()}}const u=l.byteLength;let d;if(e instanceof DecodeStream&&(!o||c===u))d=l;else if(o){d=new Uint8Array(c);d.set(l);d.fill(255,u)}else d=new Uint8Array(l);i\
+f(o)for(let e=0;e<u;e++)d[e]^=255;return{data:d,width:r,height:i,interpolate:n}}get drawWidth(){return Math.max(this.width,this.smask?.width||0,this.mask?.width||0)}get drawHeight(){return Math.max(this.height,this.smask?.height||0,this.mask?.height||0)}decodeBuffer(e){const t=this.bpc,a=this.numComps,r=this.decodeAddends,i=this.decodeCoefficients,n=(1<<t)-1;let s,o;if(1===t){for(s=0,o=e.length;s<o;s++)e[s]=+!e[s];return}let c=0;for(s=0,o=this.width*this.height;s<o;s++)for(let t=0;t<a;t++){e[c]=\
+MathClamp(r[t]+e[c]*i[t],0,n);c++}}getComponents(e){const t=this.bpc;if(8===t)return e;const a=this.width,r=this.height,i=this.numComps,n=a*r*i;let s,o=0;s=t<=8?new Uint8Array(n):t<=16?new Uint16Array(n):new Uint32Array(n);const c=a*i,l=(1<<t)-1;let h,u,d=0;if(1===t){let t,a,i;for(let n=0;n<r;n++){a=d+(-8&c);i=d+c;for(;d<a;){u=e[o++];s[d]=u>>7&1;s[d+1]=u>>6&1;s[d+2]=u>>5&1;s[d+3]=u>>4&1;s[d+4]=u>>3&1;s[d+5]=u>>2&1;s[d+6]=u>>1&1;s[d+7]=1&u;d+=8}if(d<i){u=e[o++];t=128;for(;d<i;){s[d++]=+!!(u&t);t>\
+>=1}}}}else{let a=0;u=0;for(d=0,h=n;d<h;++d){if(d%c==0){u=0;a=0}for(;a<t;){u=u<<8|e[o++];a+=8}const r=a-t;let i=u>>r;i<0?i=0:i>l&&(i=l);s[d]=i;u&=(1<<r)-1;a=r}}return s}async fillOpacity(e,t,a,r,i){const n=this.smask,s=this.mask;let o,c,l,h,u,d;if(n){c=n.width;l=n.height;o=new Uint8ClampedArray(c*l);await n.fillGrayBuffer(o);c===t&&l===a||(o=resizeImageMask(o,n.bpc,c,l,t,a))}else if(s)if(s instanceof PDFImage){c=s.width;l=s.height;o=new Uint8ClampedArray(c*l);s.numComps=1;await s.fillGrayBuffer(\
+o);for(h=0,u=c*l;h<u;++h)o[h]=255-o[h];c===t&&l===a||(o=resizeImageMask(o,s.bpc,c,l,t,a))}else{if(!Array.isArray(s))throw new FormatError("Unknown mask format.");{o=new Uint8ClampedArray(t*a);const e=this.numComps;for(h=0,u=t*a;h<u;++h){let t=0;const a=h*e;for(d=0;d<e;++d){const e=i[a+d],r=2*d;if(e<s[r]||e>s[r+1]){t=255;break}}o[h]=t}}}if(o)for(h=0,d=3,u=t*r;h<u;++h,d+=4)e[d]=o[h];else for(h=0,d=3,u=t*r;h<u;++h,d+=4)e[d]=255}undoPreblend(e,t,a){const r=this.smask?.matte;if(!r)return;const i=this\
+.colorSpace.getRgb(r,0),n=i[0],s=i[1],o=i[2],c=t*a*4;for(let t=0;t<c;t+=4){const a=e[t+3];if(0===a){e[t]=255;e[t+1]=255;e[t+2]=255;continue}const r=255/a;e[t]=(e[t]-n)*r+n;e[t+1]=(e[t+1]-s)*r+s;e[t+2]=(e[t+2]-o)*r+o}}async createImageData(e=!1,t=!1){const a=this.drawWidth,r=this.drawHeight,i={width:a,height:r,interpolate:this.interpolate,kind:0,data:null},n=this.numComps,s=this.width,o=this.height,c=this.bpc,l=s*n*c+7>>3,h=t&&ImageResizer.needsToBeResized(a,r);if(!this.smask&&!this.mask&&"Device\
+RGBA"===this.colorSpace.name){i.kind=v;const e=i.data=await this.getImageBytes(o*s*4,{});return t?h?ImageResizer.createImage(i,!1):this.createBitmap(v,a,r,e):i}if(!e){let e;"DeviceGray"===this.colorSpace.name&&1===c?e=k:"DeviceRGB"!==this.colorSpace.name||8!==c||this.needsDecode||(e=C);if(e&&!this.smask&&!this.mask&&a===s&&r===o){const n=await this.#$(s,o);if(n)return n;const c=await this.getImageBytes(o*l,{});if(t)return h?ImageResizer.createImage({data:c,kind:e,width:a,height:r,interpolate:thi\
+s.interpolate},this.needsDecode):this.createBitmap(e,s,o,c);i.kind=e;i.data=c;if(this.needsDecode){assert(e===k,"PDFImage.createImageData: The image must be grayscale.");const t=i.data;for(let e=0,a=t.length;e<a;e++)t[e]^=255}return i}if(this.image instanceof JpegStream&&!this.smask&&!this.mask&&!this.needsDecode){let e=o*l;if(t&&!h){let t=!1;switch(this.colorSpace.name){case"DeviceGray":e*=4;t=!0;break;case"DeviceRGB":e=e/3*4;t=!0;break;case"DeviceCMYK":t=!0}if(t){const t=await this.#$(a,r);if(\
+t)return t;const i=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGBA:!0});return this.createBitmap(v,a,r,i)}}else switch(this.colorSpace.name){case"DeviceGray":e*=3;case"DeviceRGB":case"DeviceCMYK":i.kind=C;i.data=await this.getImageBytes(e,{drawWidth:a,drawHeight:r,forceRGB:!0});return h?ImageResizer.createImage(i):i}}}const u=await this.getImageBytes(o*l,{internal:!0}),d=0|u.length/l*r/o,f=this.getComponents(u);let g,p,m,b,y,w;if(t&&!h){m=new OffscreenCanvas(a,r);b=m.getContext("2\
+d");y=b.createImageData(a,r);w=y.data}i.kind=v;if(e||this.smask||this.mask){t&&!h||(w=new Uint8ClampedArray(a*r*4));g=1;p=!0;await this.fillOpacity(w,a,r,d,f)}else{if(!t||h){i.kind=C;w=new Uint8ClampedArray(a*r*3);g=0}else{new Uint32Array(w.buffer).fill(FeatureTest.isLittleEndian?4278190080:255);g=1}p=!1}this.needsDecode&&this.decodeBuffer(f);this.colorSpace.fillRgb(w,s,o,a,r,d,c,f,g);p&&this.undoPreblend(w,a,d);if(t&&!h){b.putImageData(y,0,0);return{data:null,width:a,height:r,bitmap:m.transferT\
+oImageBitmap(),interpolate:this.interpolate}}i.data=w;return h?ImageResizer.createImage(i):i}async fillGrayBuffer(e){const t=this.numComps;if(1!==t)throw new FormatError(`Reading gray scale from a color image: ${t}`);const a=this.width,r=this.height,i=this.bpc,n=a*t*i+7>>3,s=await this.getImageBytes(r*n,{internal:!0}),o=this.getComponents(s);let c,l;if(1===i){l=a*r;if(this.needsDecode)for(c=0;c<l;++c)e[c]=o[c]-1&255;else for(c=0;c<l;++c)e[c]=255&-o[c];return}this.needsDecode&&this.decodeBuffer(o\
+);l=a*r;const h=255/((1<<i)-1);for(c=0;c<l;++c)e[c]=h*o[c]}createBitmap(e,t,a,r){const i=new OffscreenCanvas(t,a),n=i.getContext("2d");let s;if(e===v)s=new ImageData(r,t,a);else{s=n.createImageData(t,a);convertToRGBA({kind:e,src:r,dest:new Uint32Array(s.data.buffer),width:t,height:a,inverseDecode:this.needsDecode})}n.putImageData(s,0,0);return{data:null,width:t,height:a,bitmap:i.transferToImageBitmap(),interpolate:this.interpolate}}async#$(e,t){const a=await this.image.getTransferableImage();ret\
+urn a?{data:null,width:e,height:t,bitmap:a,interpolate:this.interpolate}:null}async getImageBytes(e,{drawWidth:t,drawHeight:a,forceRGBA:r=!1,forceRGB:i=!1,internal:n=!1}){this.image.reset();this.image.drawWidth=t||this.width;this.image.drawHeight=a||this.height;this.image.forceRGBA=!!r;this.image.forceRGB=!!i;const s=await this.image.getImageData(e,this.jpxDecoderOptions);if(n||this.image instanceof DecodeStream)return s;assert(s instanceof Uint8Array,\'PDFImage.getImageBytes: Unsupported "imageB\
+ytes" type.\');return new Uint8Array(s)}}const Bn=Object.freeze({maxImageSize:-1,disableFontFace:!1,ignoreErrors:!1,isEvalSupported:!0,isOffscreenCanvasSupported:!1,isImageDecoderSupported:!1,canvasMaxAreaInBytes:-1,fontExtraProperties:!1,useSystemFonts:!0,useWasm:!0,useWorkerFetch:!0,cMapUrl:null,iccUrl:null,standardFontDataUrl:null,wasmUrl:null}),Rn=1,Nn=2,En=Promise.resolve();function normalizeBlendMode(e,t=!1){if(Array.isArray(e)){for(const t of e){const e=normalizeBlendMode(t,!0);if(e)return\
+ e}warn(`Unsupported blend mode Array: ${e}`);return"source-over"}if(!(e instanceof Name))return t?null:"source-over";switch(e.name){case"Normal":case"Compatible":return"source-over";case"Multiply":return"multiply";case"Screen":return"screen";case"Overlay":return"overlay";case"Darken":return"darken";case"Lighten":return"lighten";case"ColorDodge":return"color-dodge";case"ColorBurn":return"color-burn";case"HardLight":return"hard-light";case"SoftLight":return"soft-light";case"Difference":return"dif\
+ference";case"Exclusion":return"exclusion";case"Hue":return"hue";case"Saturation":return"saturation";case"Color":return"color";case"Luminosity":return"luminosity"}if(t)return null;warn(`Unsupported blend mode: ${e.name}`);return"source-over"}function addCachedImageOps(e,{objId:t,fn:a,args:r,optionalContent:i,hasMask:n}){t&&e.addDependency(t);e.addImageOps(a,r,i,n);a===Vt&&r[0]?.count>0&&r[0].count++}class TimeSlotManager{static TIME_SLOT_DURATION_MS=20;static CHECK_TIME_EVERY=100;constructor(){t\
+his.reset()}check(){if(++this.checked<TimeSlotManager.CHECK_TIME_EVERY)return!1;this.checked=0;return this.endTime<=Date.now()}reset(){this.endTime=Date.now()+TimeSlotManager.TIME_SLOT_DURATION_MS;this.checked=0}}class PartialEvaluator{constructor({xref:e,handler:t,pageIndex:a,idFactory:r,fontCache:i,builtInCMapCache:n,standardFontDataCache:s,globalColorSpaceCache:o,globalImageCache:c,systemFontCache:l,options:h=null}){this.xref=e;this.handler=t;this.pageIndex=a;this.idFactory=r;this.fontCache=i\
+;this.builtInCMapCache=n;this.standardFontDataCache=s;this.globalColorSpaceCache=o;this.globalImageCache=c;this.systemFontCache=l;this.options=h||Bn;this.type3FontRefs=null;this._regionalImageCache=new RegionalImageCache;this._fetchBuiltInCMapBound=this.fetchBuiltInCMap.bind(this)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.options.isEvalSupported}))}get parsingType3Font(){return!!this.type3FontRefs}clone(e=null){\
+const t=Object.create(this);t.options=Object.assign(Object.create(null),this.options,e);return t}hasBlendModes(e,t){if(!(e instanceof Dict))return!1;if(e.objId&&t.has(e.objId))return!1;const a=new RefSet(t);e.objId&&a.put(e.objId);const r=[e],i=this.xref;for(;r.length;){const e=r.shift(),t=e.get("ExtGState");if(t instanceof Dict)for(let e of t.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.fetch(e)}catch(t){a.put(e);info(`hasBlendModes - ignoring ExtGState: "${t}".`);continue}\
+}if(!(e instanceof Dict))continue;e.objId&&a.put(e.objId);const t=e.get("BM");if(t instanceof Name){if("Normal"!==t.name)return!0}else if(void 0!==t&&Array.isArray(t))for(const e of t)if(e instanceof Name&&"Normal"!==e.name)return!0}const n=e.get("XObject");if(n instanceof Dict)for(let e of n.getRawValues()){if(e instanceof Ref){if(a.has(e))continue;try{e=i.fetch(e)}catch(t){a.put(e);info(`hasBlendModes - ignoring XObject: "${t}".`);continue}}if(!(e instanceof BaseStream))continue;e.dict.objId&&\
+a.put(e.dict.objId);const t=e.dict.get("Resources");if(t instanceof Dict&&(!t.objId||!a.has(t.objId))){r.push(t);t.objId&&a.put(t.objId)}}}for(const e of a)t.put(e);return!1}async fetchBuiltInCMap(e){const t=this.builtInCMapCache.get(e);if(t)return t;let a;a=this.options.useWorkerFetch?{cMapData:await fetchBinaryData(`${this.options.cMapUrl}${e}.bcmap`),isCompressed:!0}:await this.handler.sendWithPromise("FetchBinaryData",{type:"cMapReaderFactory",name:e});this.builtInCMapCache.set(e,a);return a\
+}async fetchStandardFontData(e){const t=this.standardFontDataCache.get(e);if(t)return new Stream(t);if(this.options.useSystemFonts&&"Symbol"!==e&&"ZapfDingbats"!==e)return null;const a=Yr()[e];let r;try{r=this.options.useWorkerFetch?await fetchBinaryData(`${this.options.standardFontDataUrl}${a}`):await this.handler.sendWithPromise("FetchBinaryData",{type:"standardFontDataFactory",filename:a})}catch(e){warn(e);return null}this.standardFontDataCache.set(e,r);return new Stream(r)}async buildFormXOb\
+ject(e,t,a,r,i,n,s,o){const{dict:c}=t,l=lookupMatrix(c.getArray("Matrix"),null),h=lookupNormalRect(c.getArray("BBox"),null);let u,d;c.has("OC")&&(u=await this.parseMarkedContentProps(c.get("OC"),e));void 0!==u&&r.addOp(jt,["OC",u]);const f=c.get("Group");if(f){d={matrix:l,bbox:h,smask:a,isolated:!1,knockout:!1};let t=null;if(isName(f.get("S"),"Transparency")){d.isolated=f.get("I")||!1;d.knockout=f.get("K")||!1;if(f.has("CS")){const a=this._getColorSpace(f.getRaw("CS"),e,s);t=a instanceof ColorSp\
+ace?a:await this._handleColorSpace(a)}}if(a?.backdrop){t||=ColorSpaceUtils.rgb;a.backdrop=t.getRgbHex(a.backdrop,0)}r.addOp(Wt,[d])}const g=[l&&new Float32Array(l),!f&&h&&new Float32Array(h)||null];r.addOp(qt,g);const p=c.get("Resources");await this.getOperatorList({stream:t,task:i,resources:p instanceof Dict?p:e,operatorList:r,initialState:n,prevRefs:o});r.addOp(Ht,[]);f&&r.addOp(zt,[d]);void 0!==u&&r.addOp(_t,[])}_sendImgData(e,t,a=!1){const r=t?[t.bitmap||t.data.buffer]:null;return this.parsi\
+ngType3Font||a?this.handler.send("commonobj",[e,"Image",t],r):this.handler.send("obj",[e,this.pageIndex,"Image",t],r)}async buildPaintImageXObject({resources:e,image:t,isInline:a=!1,operatorList:r,cacheKey:i,localImageCache:n,localColorSpaceCache:s}){const{maxImageSize:o,ignoreErrors:c,isOffscreenCanvasSupported:l}=this.options,{dict:h}=t,u=h.objId,d=h.get("W","Width"),f=h.get("H","Height");if(!d||"number"!=typeof d||!f||"number"!=typeof f){warn("Image dimensions are missing, or not numbers.");r\
+eturn}if(-1!==o&&d*f>o){const e="Image exceeded maximum allowed size and was removed.";if(!c)throw new Error(e);warn(e);return}let g;h.has("OC")&&(g=await this.parseMarkedContentProps(h.get("OC"),e));let p,m,b;if(h.get("IM","ImageMask")||!1){p=await PDFImage.createMask({image:t,isOffscreenCanvasSupported:l&&!this.parsingType3Font});if(p.isSingleOpaquePixel){m=ta;b=[];r.addImageOps(m,b,g);if(i){const e={fn:m,args:b,optionalContent:g};n.set(i,u,e);u&&this._regionalImageCache.set(null,u,e)}return}i\
+f(this.parsingType3Font){b=function compileType3Glyph({data:e,width:t,height:a}){if(t>1e3||a>1e3)return null;const r=new Uint8Array([0,2,4,0,1,0,5,4,8,10,0,8,0,2,1,0]),i=t+1,n=new Uint8Array(i*(a+1));let s,o,c;const l=t+7&-8,h=new Uint8Array(l*a);let u=0;for(const t of e){let e=128;for(;e>0;){h[u++]=t&e?0:255;e>>=1}}let d=0;u=0;if(0!==h[u]){n[0]=1;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[o]=h[u]?2:1;++d}u++}if(0!==h[u]){n[o]=2;++d}for(s=1;s<a;s++){u=s*l;c=s*i;if(h[u-l]!==h[u]){n[c]=h[u]?1:8;++d}\
+let e=(h[u]?4:0)+(h[u-l]?8:0);for(o=1;o<t;o++){e=(e>>2)+(h[u+1]?4:0)+(h[u-l+1]?8:0);if(r[e]){n[c+o]=r[e];++d}u++}if(h[u-l]!==h[u]){n[c+o]=h[u]?2:4;++d}if(d>1e3)return null}u=l*(a-1);c=s*i;if(0!==h[u]){n[c]=8;++d}for(o=1;o<t;o++){if(h[u]!==h[u+1]){n[c+o]=h[u]?4:8;++d}u++}if(0!==h[u]){n[c+o]=4;++d}if(d>1e3)return null;const f=new Int32Array([0,i,-1,0,-i,0,0,0,1]),g=[],{a:p,b:m,c:b,d:y,e:w,f:x}=(new DOMMatrix).scaleSelf(1/t,-1/a).translateSelf(0,-a);for(s=0;d&&s<=a;s++){let e=s*i;const a=e+t;for(;e\
+<a&&!n[e];)e++;if(e===a)continue;let r=e%i,o=s;g.push(sa,p*r+b*o+w,m*r+y*o+x);const c=e;let l=n[e];do{const t=f[l];do{e+=t}while(!n[e]);const a=n[e];if(5!==a&&10!==a){l=a;n[e]=0}else{l=a&51*l>>4;n[e]&=l>>2|l<<2}r=e%i;o=e/i|0;g.push(oa,p*r+b*o+w,m*r+y*o+x);n[e]||--d}while(c!==e);--s}return[na,[new Float32Array(g)],new Float32Array([0,0,t,a])]}(p);if(b){r.addImageOps(aa,b,g);return}warn("Cannot compile Type3 glyph.");r.addImageOps(Vt,[p],g);return}const e=`mask_${this.idFactory.createObjId()}`;r.a\
+ddDependency(e);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;this._sendImgData(e,p);m=Vt;b=[{data:e,width:p.width,height:p.height,interpolate:p.interpolate,count:1}];r.addImageOps(m,b,g);if(i){const t={objId:e,fn:m,args:b,optionalContent:g};n.set(i,u,t);u&&this._regionalImageCache.set(null,u,t)}return}const y=h.has("SMask")||h.has("Mask");if(a&&d+f<200&&!y){try{const i=new PDFImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:t\
+his.globalColorSpaceCache,localColorSpaceCache:s});p=await i.createImageData(!0,!1);r.addImageOps(Yt,[p],g)}catch(e){const t=`Unable to decode inline image: "${e}".`;if(!c)throw new Error(t);warn(t)}return}let w=`img_${this.idFactory.createObjId()}`,x=!1,S=null;if(this.parsingType3Font)w=`${this.idFactory.getDocId()}_type3_${w}`;else if(i&&u){x=this.globalImageCache.shouldCache(u,this.pageIndex);if(x){assert(!a,"Cannot cache an inline image globally.");w=`${this.idFactory.getDocId()}_${w}`}}r.ad\
+dDependency(w);m=Jt;b=[w,d,f];r.addImageOps(m,b,g,y);if(x){S={objId:w,fn:m,args:b,optionalContent:g,hasMask:y,byteSize:0};if(this.globalImageCache.hasDecodeFailed(u)){this.globalImageCache.setData(u,S);this._sendImgData(w,null,x);return}if(d*f>25e4||y){const e=await this.handler.sendWithPromise("commonobj",[w,"CopyLocalImage",{imageRef:u}]);if(e){this.globalImageCache.setData(u,S);this.globalImageCache.addByteSize(u,e);return}}}PDFImage.buildImage({xref:this.xref,res:e,image:t,isInline:a,pdfFunc\
+tionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:s}).then((async e=>{p=await e.createImageData(!1,l);p.dataLen=p.bitmap?p.width*p.height*4:p.data.length;p.ref=u;x&&this.globalImageCache.addByteSize(u,p.dataLen);return this._sendImgData(w,p,x)})).catch((e=>{warn(`Unable to decode image "${w}": "${e}".`);u&&this.globalImageCache.addDecodeFailed(u);return this._sendImgData(w,null,x)}));if(i){const e={objId:w,fn:m,args:b,optionalContent:g,has\
+Mask:y};n.set(i,u,e);if(u){this._regionalImageCache.set(null,u,e);if(x){assert(S,"The global cache-data must be available.");this.globalImageCache.setData(u,S)}}}}handleSMask(e,t,a,r,i,n,s){const o=e.get("G"),c={subtype:e.get("S").name,backdrop:e.get("BC")},l=e.get("TR");if(isPDFFunction(l)){const e=this._pdfFunctionFactory.create(l),t=new Uint8Array(256),a=new Float32Array(1);for(let r=0;r<256;r++){a[0]=r/255;e(a,0,a,0);t[r]=255*a[0]|0}c.transferMap=t}return this.buildFormXObject(t,o,c,a,r,i.st\
+ate.clone({newPath:!0}),n,s)}handleTransferFunction(e){let t;if(Array.isArray(e))t=e;else{if(!isPDFFunction(e))return null;t=[e]}const a=[];let r=0,i=0;for(const e of t){const t=this.xref.fetchIfRef(e);r++;if(isName(t,"Identity")){a.push(null);continue}if(!isPDFFunction(t))return null;const n=this._pdfFunctionFactory.create(t),s=new Uint8Array(256),o=new Float32Array(1);for(let e=0;e<256;e++){o[0]=e/255;n(o,0,o,0);s[e]=255*o[0]|0}a.push(s);i++}return 1!==r&&4!==r||0===i?null:a}handleTilingType(e\
+,t,a,r,i,n,s,o){const c=new OperatorList,l=Dict.merge({xref:this.xref,dictArray:[i.get("Resources"),a]});return this.getOperatorList({stream:r,task:s,resources:l,operatorList:c}).then((function(){const a=c.getIR(),r=getTilingPatternIR(a,i,t);n.addDependencies(c.dependencies);n.addOp(e,r);i.objId&&o.set(null,i.objId,{operatorListIR:a,dict:i})})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`handleTilingType - ignoring pattern: "${e}".`)}}))}async handle\
+SetFont(e,t,a,r,i,n,s=null,o=null){const c=t?.[0]instanceof Name?t[0].name:null,l=await this.loadFont(c,a,e,i,s,o);l.font.isType3Font&&r.addDependencies(l.type3Dependencies);n.font=l.font;l.send(this.handler);return l.loadedName}handleText(e,t){const a=t.font,r=a.charsToGlyphs(e);if(a.data){(!!(t.textRenderingMode&S)||"Pattern"===t.fillColorSpace.name||a.disableFontFace)&&PartialEvaluator.buildFontPaths(a,r,this.handler,this.options)}return r}ensureStateFont(e){if(e.font)return;const t=new Forma\
+tError("Missing setFont (Tf) operator before text rendering operator.");if(!this.options.ignoreErrors)throw t;warn(`ensureStateFont: "${t}".`)}async setGState({resources:e,gState:t,operatorList:a,cacheKey:r,task:i,stateManager:n,localGStateCache:s,localColorSpaceCache:o,seenRefs:c}){const l=t.objId;let h=!0;const u=[];let d=Promise.resolve();for(const[r,s]of t)switch(r){case"Type":break;case"LW":if("number"!=typeof s){warn(`Invalid LW (line width): ${s}`);break}u.push([r,Math.abs(s)]);break;case\
+"LC":case"LJ":case"ML":case"D":case"RI":case"FL":case"CA":case"ca":u.push([r,s]);break;case"Font":h=!1;d=d.then((()=>this.handleSetFont(e,null,s[0],a,i,n.state).then((function(e){a.addDependency(e);u.push([r,[e,s[1]]])}))));break;case"BM":u.push([r,normalizeBlendMode(s)]);break;case"SMask":if(isName(s,"None")){u.push([r,!1]);break}if(s instanceof Dict){h=!1;d=d.then((()=>this.handleSMask(s,e,a,i,n,o,c)));u.push([r,!0])}else warn("Unsupported SMask type");break;case"TR":const t=this.handleTransfe\
+rFunction(s);u.push([r,t]);break;case"OP":case"op":case"OPM":case"BG":case"BG2":case"UCR":case"UCR2":case"TR2":case"HT":case"SM":case"SA":case"AIS":case"TK":info("graphic state operator "+r);break;default:info("Unknown graphic state operator "+r)}await d;u.length>0&&a.addOp(De,[u]);h&&s.set(r,l,u)}loadFont(e,t,a,r,i=null,n=null){const errorFont=async()=>new TranslatedFont({loadedName:"g_font_error",font:new ErrorFont(`Font "${e}" is not available.`),dict:t});let s;if(t)t instanceof Ref&&(s=t);el\
+se{const t=a.get("Font");t&&(s=t.getRaw(e))}if(s){if(this.type3FontRefs?.has(s))return errorFont();if(this.fontCache.has(s))return this.fontCache.get(s);try{t=this.xref.fetchIfRef(s)}catch(e){warn(`loadFont - lookup failed: "${e}".`)}}if(!(t instanceof Dict)){if(!this.options.ignoreErrors&&!this.parsingType3Font){warn(`Font "${e}" is not available.`);return errorFont()}warn(`Font "${e}" is not available -- attempting to fallback to a default font.`);t=i||PartialEvaluator.fallbackFontDict}if(t.ca\
+cheKey&&this.fontCache.has(t.cacheKey))return this.fontCache.get(t.cacheKey);const{promise:o,resolve:c}=Promise.withResolvers();let l;try{l=this.preEvaluateFont(t);l.cssFontInfo=n}catch(e){warn(`loadFont - preEvaluateFont failed: "${e}".`);return errorFont()}const{descriptor:h,hash:u}=l,d=s instanceof Ref;let f;if(u&&h instanceof Dict){const e=h.fontAliases||=Object.create(null);if(e[u]){const t=e[u].aliasRef;if(d&&t&&this.fontCache.has(t)){this.fontCache.putAlias(s,t);return this.fontCache.get(\
+s)}}else e[u]={fontID:this.idFactory.createFontId()};d&&(e[u].aliasRef=s);f=e[u].fontID}else f=this.idFactory.createFontId();assert(f?.startsWith("f"),\'The "fontID" must be (correctly) defined.\');if(d)this.fontCache.put(s,o);else{t.cacheKey=`cacheKey_${f}`;this.fontCache.put(t.cacheKey,o)}t.loadedName=`${this.idFactory.getDocId()}_${f}`;this.translateFont(l).then((async e=>{const i=new TranslatedFont({loadedName:t.loadedName,font:e,dict:t});if(e.isType3Font)try{await i.loadType3Data(this,a,r)}ca\
+tch(e){throw new Error(`Type3 font load error: ${e}`)}c(i)})).catch((e=>{warn(`loadFont - translateFont failed: "${e}".`);c(new TranslatedFont({loadedName:t.loadedName,font:new ErrorFont(e?.message),dict:t}))}));return o}buildPath(e,t,a){const{pathMinMax:r,pathBuffer:i}=a;switch(0|e){case Xe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1],s=t[2],o=t[3],c=e+s,l=n+o;0===s||0===o?i.push(sa,e,n,oa,c,l,la):i.push(sa,e,n,oa,c,n,oa,c,l,oa,e,l,la);Util.rectBoundingBox(e,n,c,l,r);break}case Ee:{cons\
+t e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(sa,e,n);Util.pointBoundingBox(e,n,r);break}case Pe:{const e=a.currentPointX=t[0],n=a.currentPointY=t[1];i.push(oa,e,n);Util.pointBoundingBox(e,n,r);break}case Le:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l,h,u]=t;a.currentPointX=h;a.currentPointY=u;i.push(ca,s,o,c,l,h,u);Util.bezierBoundingBox(e,n,s,o,c,l,h,u,r);break}case je:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,e,n,s,o,\
+c,l);Util.bezierBoundingBox(e,n,e,n,s,o,c,l,r);break}case _e:{const e=a.currentPointX,n=a.currentPointY,[s,o,c,l]=t;a.currentPointX=c;a.currentPointY=l;i.push(ca,s,o,c,l,c,l);Util.bezierBoundingBox(e,n,s,o,c,l,c,l,r);break}case Ue:i.push(la)}}_getColorSpace(e,t,a){return ColorSpaceUtils.parse({cs:e,xref:this.xref,resources:t,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:a,asyncIfNotCached:!0})}async _handleColorSpace(e){try{retu\
+rn await e}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`_handleColorSpace - ignoring ColorSpace: "${e}".`);return null}throw e}}parseShading({shading:e,resources:t,localColorSpaceCache:a,localShadingPatternCache:r}){let i,n=r.get(e);if(n)return n;try{i=Pattern.parseShading(e,this.xref,t,this._pdfFunctionFactory,this.globalColorSpaceCache,a).getIR()}catch(t){if(t instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`parseShading - ign\
+oring shading: "${t}".`);r.set(e,null);return null}throw t}n=`pattern_${this.idFactory.createObjId()}`;this.parsingType3Font&&(n=`${this.idFactory.getDocId()}_type3_${n}`);r.set(e,n);this.parsingType3Font?this.handler.send("commonobj",[n,"Pattern",i]):this.handler.send("obj",[n,this.pageIndex,"Pattern",i]);return n}handleColorN(e,t,a,r,i,n,s,o,c,l){const h=a.pop();if(h instanceof Name){const u=i.getRaw(h.name),d=u instanceof Ref&&c.getByRef(u);if(d)try{const i=r.base?r.base.getRgbHex(a,0):null,n\
+=getTilingPatternIR(d.operatorListIR,d.dict,i);e.addOp(t,n);return}catch{}const f=this.xref.fetchIfRef(u);if(f){const i=f instanceof BaseStream?f.dict:f,h=i.get("PatternType");if(h===Rn){const o=r.base?r.base.getRgbHex(a,0):null;return this.handleTilingType(t,o,n,f,i,e,s,c)}if(h===Nn){const a=i.get("Shading"),r=this.parseShading({shading:a,resources:n,localColorSpaceCache:o,localShadingPatternCache:l});if(r){const a=lookupMatrix(i.getArray("Matrix"),null);e.addOp(t,["Shading",r,a])}return}throw \
+new FormatError(`Unknown PatternType: ${h}`)}}throw new FormatError(`Unknown PatternName: ${h}`)}_parseVisibilityExpression(e,t,a){if(++t>10){warn("Visibility expression is too deeply nested");return}const r=e.length,i=this.xref.fetchIfRef(e[0]);if(!(r<2)&&i instanceof Name){switch(i.name){case"And":case"Or":case"Not":a.push(i.name);break;default:warn(`Invalid operator ${i.name} in visibility expression`);return}for(let i=1;i<r;i++){const r=e[i],n=this.xref.fetchIfRef(r);if(Array.isArray(n)){con\
+st e=[];a.push(e);this._parseVisibilityExpression(n,t,e)}else r instanceof Ref&&a.push(r.toString())}}else warn("Invalid visibility expression")}async parseMarkedContentProps(e,t){let a;if(e instanceof Name){a=t.get("Properties").get(e.name)}else{if(!(e instanceof Dict))throw new FormatError("Optional content properties malformed.");a=e}const r=a.get("Type")?.name;if("OCG"===r)return{type:r,id:a.objId};if("OCMD"===r){const e=a.get("VE");if(Array.isArray(e)){const t=[];this._parseVisibilityExpres\
+sion(e,0,t);if(t.length>0)return{type:"OCMD",expression:t}}const t=a.get("OCGs");if(Array.isArray(t)||t instanceof Dict){const e=[];if(Array.isArray(t))for(const a of t)e.push(a.toString());else e.push(t.objId);return{type:r,ids:e,policy:a.get("P")instanceof Name?a.get("P").name:null,expression:null}}if(t instanceof Ref)return{type:r,id:t.toString()}}return null}getOperatorList({stream:e,task:t,resources:a,operatorList:r,initialState:i=null,fallbackFontDict:n=null,prevRefs:s=null}){const o=e.dic\
+t?.objId,c=new RefSet(s);if(o){if(s?.has(o))throw new Error(`getOperatorList - ignoring circular reference: ${o}`);c.put(o)}a||=Dict.empty;i||=new EvalState;if(!r)throw new Error(\'getOperatorList: missing "operatorList" parameter\');const l=this,h=this.xref,u=new LocalImageCache,d=new LocalColorSpaceCache,f=new LocalGStateCache,g=new LocalTilingPatternCache,p=new Map,m=a.get("XObject")||Dict.empty,b=a.get("Pattern")||Dict.empty,y=new StateManager(i),w=new EvaluatorPreprocessor(e,h,y),x=new TimeSl\
+otManager;function closePendingRestoreOPS(e){for(let e=0,t=w.savedStatesDepth;e<t;e++)r.addOp(Re,[])}return new Promise((function promiseBody(e,i){const next=function(t){Promise.all([t,r.ready]).then((function(){try{promiseBody(e,i)}catch(e){i(e)}}),i)};t.ensureNotTerminated();x.reset();const s={};let o,S,k,C,v,F;for(;!(o=x.check());){s.args=null;if(!w.read(s))break;let e=s.args,i=s.fn;switch(0|i){case Nt:F=e[0]instanceof Name;v=e[0].name;if(F){const t=u.getByName(v);if(t){addCachedImageOps(r,t)\
+;e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("XObject must be referred to by name.");let n=m.getRaw(v);if(n instanceof Ref){const t=u.getByRef(n)||l._regionalImageCache.getByRef(n)||l.globalImageCache.getData(n,l.pageIndex);if(t){addCachedImageOps(r,t);e();return}n=h.fetch(n)}if(!(n instanceof BaseStream))throw new FormatError("XObject should be a stream");const s=n.dict.get("Subtype");if(!(s instanceof Name))throw new FormatError("XObject should have a Name subt\
+ype");if("Form"!==s.name)if("Image"!==s.name){if("PS"!==s.name)throw new FormatError(`Unhandled XObject subtype ${s.name}`);info("Ignored XObject subtype PS");e()}else l.buildPaintImageXObject({resources:a,image:n,operatorList:r,cacheKey:v,localImageCache:u,localColorSpaceCache:d}).then(e,i);else{y.save();l.buildFormXObject(a,n,null,r,t,y.state.clone({newPath:!0}),d,c).then((function(){y.restore();e()}),i)}})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw\
+ e;warn(`getOperatorList - ignoring XObject: "${e}".`)}})));return;case nt:const s=e[1];next(l.handleSetFont(a,e,null,r,t,y.state,n).then((function(e){r.addDependency(e);r.addOp(nt,[e,s])})));return;case Rt:const o=e[0].cacheKey;if(o){const t=u.getByName(o);if(t){addCachedImageOps(r,t);e=null;continue}}next(l.buildPaintImageXObject({resources:a,image:e[0],isInline:!0,operatorList:r,cacheKey:o,localImageCache:u,localColorSpaceCache:d}));return;case dt:if(!y.state.font){l.ensureStateFont(y.state);\
+continue}e[0]=l.handleText(e[0],y.state);break;case ft:if(!y.state.font){l.ensureStateFont(y.state);continue}const w=[],x=y.state;for(const t of e[0])"string"==typeof t?w.push(...l.handleText(t,x)):"number"==typeof t&&w.push(t);e[0]=w;i=dt;break;case gt:if(!y.state.font){l.ensureStateFont(y.state);continue}r.addOp(ut);e[0]=l.handleText(e[0],y.state);i=dt;break;case pt:if(!y.state.font){l.ensureStateFont(y.state);continue}r.addOp(ut);r.addOp(at,[e.shift()]);r.addOp(tt,[e.shift()]);e[0]=l.handleTe\
+xt(e[0],y.state);i=dt;break;case st:y.state.textRenderingMode=e[0];break;case wt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.fillColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.fillColorSpace=e||ColorSpaceUtils.gray})));return}case yt:{const t=l._getColorSpace(e[0],a,d);if(t instanceof ColorSpace){y.state.strokeColorSpace=t;continue}next(l._handleColorSpace(t).then((e=>{y.state.strokeColorSpace=e||ColorSpaceUtils.gray})));return}case At:C=y.state.f\
+illColorSpace;e=[C.getRgbHex(e,0)];i=It;break;case xt:C=y.state.strokeColorSpace;e=[C.getRgbHex(e,0)];i=Ft;break;case vt:y.state.fillColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break;case Ct:y.state.strokeColorSpace=ColorSpaceUtils.gray;e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break;case Ot:y.state.fillColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmyk.getRgbHex(e,0)];i=It;break;case Tt:y.state.strokeColorSpace=ColorSpaceUtils.cmyk;e=[ColorSpaceUtils.cmy\
+k.getRgbHex(e,0)];i=Ft;break;case It:y.state.fillColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case Ft:y.state.strokeColorSpace=ColorSpaceUtils.rgb;e=[ColorSpaceUtils.rgb.getRgbHex(e,0)];break;case kt:C=y.state.patternFillColorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=It;break}e=[];i=ia;break}if("Pattern"===C.name){next(l.handleColorN(r,kt,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=It;break;case St:C=y.state.patternStrokeC\
+olorSpace;if(!C){if(isNumberArray(e,null)){e=[ColorSpaceUtils.gray.getRgbHex(e,0)];i=Ft;break}e=[];i=ra;break}if("Pattern"===C.name){next(l.handleColorN(r,St,e,C,b,a,t,d,g,p));return}e=[C.getRgbHex(e,0)];i=Ft;break;case Mt:let T;try{const t=a.get("Shading");if(!t)throw new FormatError("No shading resource found");T=t.get(e[0].name);if(!T)throw new FormatError("No shading object found")}catch(e){if(e instanceof AbortException)continue;if(l.options.ignoreErrors){warn(`getOperatorList - ignoring Sh\
+ading: "${e}".`);continue}throw e}const O=l.parseShading({shading:T,resources:a,localColorSpaceCache:d,localShadingPatternCache:p});if(!O)continue;e=[O];i=Mt;break;case De:F=e[0]instanceof Name;v=e[0].name;if(F){const t=f.getByName(v);if(t){t.length>0&&r.addOp(De,[t]);e=null;continue}}next(new Promise((function(e,i){if(!F)throw new FormatError("GState must be referred to by name.");const n=a.get("ExtGState");if(!(n instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const\
+ s=n.get(v);if(!(s instanceof Dict))throw new FormatError("GState should be a dictionary.");l.setGState({resources:a,gState:s,operatorList:r,cacheKey:v,task:t,stateManager:y,localGStateCache:f,localColorSpaceCache:d,seenRefs:c}).then(e,i)})).catch((function(e){if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring ExtGState: "${e}".`)}})));return;case Ce:{const[t]=e;if("number"!=typeof t){warn(`Invalid setLineWidth: ${t}`);continue}e[0]=Math.abs(t)\
+;break}case Ee:case Pe:case Le:case je:case _e:case Ue:case Xe:l.buildPath(i,e,y.state);continue;case qe:case He:case We:case ze:case $e:case Ge:case Ve:case Ke:case Je:{const{state:{pathBuffer:e,pathMinMax:t}}=y;i!==He&&i!==Ve&&i!==Ke||e.push(la);if(0===e.length)r.addOp(aa,[i,[null],null]);else{r.addOp(aa,[i,[new Float32Array(e)],t.slice()]);e.length=0;t.set([1/0,1/0,-1/0,-1/0],0)}continue}case ht:r.addOp(i,[new Float32Array(e)]);continue;case Et:case Pt:case Ut:case Xt:continue;case jt:if(!(e[\
+0]instanceof Name)){warn(`Expected name for beginMarkedContentProps arg0=${e[0]}`);r.addOp(jt,["OC",null]);continue}if("OC"===e[0].name){next(l.parseMarkedContentProps(e[1],a).then((e=>{r.addOp(jt,["OC",e])})).catch((e=>{if(!(e instanceof AbortException)){if(!l.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring beginMarkedContentProps: "${e}".`);r.addOp(jt,["OC",null])}})));return}e=[e[0].name,e[1]instanceof Dict?e[1].get("MCID"):null];break;default:if(null!==e){for(S=0,k=e.length;S<k\
+&&!(e[S]instanceof Dict);S++);if(S<k){warn("getOperatorList - ignoring operator: "+i);continue}}}r.addOp(i,e)}if(o)next(En);else{closePendingRestoreOPS();e()}})).catch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getOperatorList - ignoring errors during "${t.name}" task: "${e}".`);closePendingRestoreOPS()}}))}getTextContent({stream:e,task:a,resources:r,stateManager:i=null,includeMarkedContent:n=!1,sink:s,seenStyles:o=new Set,viewBox:c,lang:l=null,markedCont\
+entData:h=null,disableNormalization:u=!1,keepWhiteSpace:d=!1,prevRefs:f=null,intersector:g=null}){const p=e.dict?.objId,m=new RefSet(f);if(p){if(f?.has(p))throw new Error(`getTextContent - ignoring circular reference: ${p}`);m.put(p)}r||=Dict.empty;i||=new StateManager(new TextState);n&&(h||={level:0});const b={items:[],styles:Object.create(null),lang:l},y={initialized:!1,str:[],totalWidth:0,totalHeight:0,width:0,height:0,vertical:!1,prevTransform:null,textAdvanceScale:0,spaceInFlowMin:0,spaceIn\
+FlowMax:0,trackingSpaceMin:1/0,negativeSpaceMax:-1/0,notASpace:-1/0,transform:null,fontName:null,hasEOL:!1},w=[" "," "];let x=0;function saveLastChar(e){const t=(x+1)%2,a=" "!==w[x]&&" "===w[t];w[x]=e;x=t;return!d&&a}function shouldAddWhitepsace(){return!d&&" "!==w[x]&&" "===w[(x+1)%2]}function resetLastChars(){w[0]=w[1]=" ";x=0}const S=this,k=this.xref,C=[];let v=null;const F=new LocalImageCache,T=new LocalGStateCache,O=new EvaluatorPreprocessor(e,k,i);let M;function pushWhitespace({width:e=0,h\
+eight:t=0,transform:a=y.prevTransform,fontName:r=y.fontName}){g?.addExtraChar(" ");b.items.push({str:" ",dir:"ltr",width:e,height:t,transform:a,fontName:r,hasEOL:!1})}function getCurrentTextTransform(){const e=M.font,a=[M.fontSize*M.textHScale,0,0,M.fontSize,0,M.textRise];if(e.isType3Font&&(M.fontSize<=1||e.isCharBBox)&&!isArrayEqual(M.fontMatrix,t)){const t=e.bbox[3]-e.bbox[1];t>0&&(a[3]*=t*M.fontMatrix[3])}return Util.transform(M.ctm,Util.transform(M.textMatrix,a))}function ensureTextContentIt\
+em(){if(y.initialized)return y;const{font:e,loadedName:t}=M;if(!o.has(t)){o.add(t);b.styles[t]={fontFamily:e.fallbackName,ascent:e.ascent,descent:e.descent,vertical:e.vertical};if(S.options.fontExtraProperties&&e.systemFontInfo){const a=b.styles[t];a.fontSubstitution=e.systemFontInfo.css;a.fontSubstitutionLoadedName=e.systemFontInfo.loadedName}}y.fontName=t;const a=y.transform=getCurrentTextTransform();if(e.vertical){y.width=y.totalWidth=Math.hypot(a[0],a[1]);y.height=y.totalHeight=0;y.vertical=\
+!0}else{y.width=y.totalWidth=0;y.height=y.totalHeight=Math.hypot(a[2],a[3]);y.vertical=!1}const r=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),i=Math.hypot(M.ctm[0],M.ctm[1]);y.textAdvanceScale=i*r;const{fontSize:n}=M;y.trackingSpaceMin=.102*n;y.notASpace=.03*n;y.negativeSpaceMax=-.2*n;y.spaceInFlowMin=.102*n;y.spaceInFlowMax=.6*n;y.hasEOL=!1;y.initialized=!0;return y}function updateAdvanceScale(){if(!y.initialized)return;const e=Math.hypot(M.textLineMatrix[0],M.textLineMatrix[1]),t=Math.\
+hypot(M.ctm[0],M.ctm[1])*e;if(t!==y.textAdvanceScale){if(y.vertical){y.totalHeight+=y.height*y.textAdvanceScale;y.height=0}else{y.totalWidth+=y.width*y.textAdvanceScale;y.width=0}y.textAdvanceScale=t}}function runBidiTransform(e){let t=e.str.join("");u||(t=function normalizeUnicode(e){if(!ma){ma=/([\\u00a0\\u00b5\\u037e\\u0eb3\\u2000-\\u200a\\u202f\\u2126\\ufb00-\\ufb04\\ufb06\\ufb20-\\ufb36\\ufb38-\\ufb3c\\ufb3e\\ufb40-\\ufb41\\ufb43-\\ufb44\\ufb46-\\ufba1\\ufba4-\\ufba9\\ufbae-\\ufbb1\\ufbd3-\\ufbdc\\ufbde-\\ufbe7\\ufbea-\\u\
+fbf8\\ufbfc-\\ufbfd\\ufc00-\\ufc5d\\ufc64-\\ufcf1\\ufcf5-\\ufd3d\\ufd88\\ufdf4\\ufdfa-\\ufdfb\\ufe71\\ufe77\\ufe79\\ufe7b\\ufe7d]+)|(\\ufb05+)/gu;ba=new Map([["ſt","ſt"]])}return e.replaceAll(ma,((e,t,a)=>t?t.normalize("NFKC"):ba.get(a)))}(t));const a=bidi(t,-1,e.vertical);return{str:a.str,dir:a.dir,width:Math.abs(e.totalWidth),height:Math.abs(e.totalHeight),transform:e.transform,fontName:e.fontName,hasEOL:e.hasEOL}}async function handleSetFont(e,i){const n=await S.loadFont(e,i,r,a);M.loadedName=n.loadedName;M.fon\
+t=n.font;M.fontMatrix=n.font.fontMatrix||t}function applyInverseRotation(e,t,a){const r=Math.hypot(a[0],a[1]);return[(a[0]*e+a[1]*t)/r,(a[2]*e+a[3]*t)/r]}function compareWithLastPosition(e){const t=getCurrentTextTransform();let a=t[4],r=t[5];if(M.font?.vertical){if(a<c[0]||a>c[2]||r+e<c[1]||r>c[3])return!1}else if(a+e<c[0]||a>c[2]||r<c[1]||r>c[3])return!1;if(!M.font||!y.prevTransform)return!0;let i=y.prevTransform[4],n=y.prevTransform[5];if(i===a&&n===r)return!0;let s=-1;t[0]&&0===t[1]&&0===t[2]\
+?s=t[0]>0?0:180:t[1]&&0===t[0]&&0===t[3]&&(s=t[1]>0?90:270);switch(s){case 0:break;case 90:[a,r]=[r,a];[i,n]=[n,i];break;case 180:[a,r,i,n]=[-a,-r,-i,-n];break;case 270:[a,r]=[-r,-a];[i,n]=[-n,-i];break;default:[a,r]=applyInverseRotation(a,r,t);[i,n]=applyInverseRotation(i,n,y.prevTransform)}if(M.font.vertical){const e=(n-r)/y.textAdvanceScale,t=a-i,s=Math.sign(y.height);if(e<s*y.negativeSpaceMax){if(Math.abs(t)>.5*y.width){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if\
+(Math.abs(t)>y.width){appendEOL();return!0}e<=s*y.notASpace&&resetLastChars();if(e<=s*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({height:Math.abs(e)})}else y.height+=e;else if(!addFakeSpaces(e,y.prevTransform,s))if(0===y.str.length){resetLastChars();pushWhitespace({height:Math.abs(e)})}else y.height+=e;Math.abs(t)>.25*y.width&&flushTextContentItem();return!0}const o=(a-i)/y.textAdvanceScale,l=r-n,h=Math.sign(y.width);if(o<h*y.negativeSpace\
+Max){if(Math.abs(l)>.5*y.height){appendEOL();return!0}resetLastChars();flushTextContentItem();return!0}if(Math.abs(l)>y.height){appendEOL();return!0}o<=h*y.notASpace&&resetLastChars();if(o<=h*y.trackingSpaceMin)if(shouldAddWhitepsace()){resetLastChars();flushTextContentItem();pushWhitespace({width:Math.abs(o)})}else y.width+=o;else if(!addFakeSpaces(o,y.prevTransform,h))if(0===y.str.length){resetLastChars();pushWhitespace({width:Math.abs(o)})}else y.width+=o;Math.abs(l)>.25*y.height&&flushTextCo\
+ntentItem();return!0}function buildTextContentItem({chars:e,extraSpacing:t}){const a=M.font;if(!e){const e=M.charSpacing+t;e&&(a.vertical?M.translateTextMatrix(0,-e):M.translateTextMatrix(e*M.textHScale,0));d&&compareWithLastPosition(0);return}const r=a.charsToGlyphs(e),i=M.fontMatrix[0]*M.fontSize;for(let e=0,n=r.length;e<n;e++){const s=r[e],{category:o}=s;if(o.isInvisibleFormatMark)continue;let c=M.charSpacing+(e+1===n?t:0),l=s.width;a.vertical&&(l=s.vmetric?s.vmetric[0]:-l);let h=l*i;if(!d&&o\
+.isWhitespace){if(a.vertical){c+=-h+M.wordSpacing;M.translateTextMatrix(0,-c)}else{c+=h+M.wordSpacing;M.translateTextMatrix(c*M.textHScale,0)}saveLastChar(" ");continue}if(!o.isZeroWidthDiacritic&&!compareWithLastPosition(h)){a.vertical?M.translateTextMatrix(0,h):M.translateTextMatrix(h*M.textHScale,0);continue}const u=ensureTextContentItem();o.isZeroWidthDiacritic&&(h=0);if(a.vertical){g?.addGlyph(getCurrentTextTransform(),0,h,s.unicode);M.translateTextMatrix(0,h);h=Math.abs(h);u.height+=h}else\
+{h*=M.textHScale;g?.addGlyph(getCurrentTextTransform(),h,0,s.unicode);M.translateTextMatrix(h,0);u.width+=h}h&&(u.prevTransform=getCurrentTextTransform());const f=s.unicode;if(saveLastChar(f)){u.str.push(" ");g?.addExtraChar(" ")}g||u.str.push(f);c&&(a.vertical?M.translateTextMatrix(0,-c):M.translateTextMatrix(c*M.textHScale,0))}}function appendEOL(){g?.addExtraChar("\\n");resetLastChars();if(y.initialized){y.hasEOL=!0;flushTextContentItem()}else b.items.push({str:"",dir:"ltr",width:0,height:0,tr\
+ansform:getCurrentTextTransform(),fontName:M.loadedName,hasEOL:!0})}function addFakeSpaces(e,t,a){if(a*y.spaceInFlowMin<=e&&e<=a*y.spaceInFlowMax){if(y.initialized){resetLastChars();y.str.push(" ");g?.addExtraChar(" ")}return!1}const r=y.fontName;let i=0;if(y.vertical){i=e;e=0}flushTextContentItem();resetLastChars();pushWhitespace({width:Math.abs(e),height:Math.abs(i),transform:t||getCurrentTextTransform(),fontName:r});return!0}function flushTextContentItem(){if(y.initialized&&y.str){y.vertical?\
+y.totalHeight+=y.height*y.textAdvanceScale:y.totalWidth+=y.width*y.textAdvanceScale;b.items.push(runBidiTransform(y));y.initialized=!1;y.str.length=0}}function enqueueChunk(e=!1){const t=b.items.length;if(0!==t&&!(e&&t<10)){s?.enqueue(b,t);b.items=[];b.styles=Object.create(null)}}const D=new TimeSlotManager;return new Promise((function promiseBody(e,t){const next=function(a){enqueueChunk(!0);Promise.all([a,s?.ready]).then((function(){try{promiseBody(e,t)}catch(e){t(e)}}),t)};a.ensureNotTerminate\
+d();D.reset();const f={};let g,p,y,w=[];for(;!(g=D.check());){w.length=0;f.args=w;if(!O.read(f))break;const e=M;M=i.state;const t=f.fn;w=f.args;switch(0|t){case nt:const t=w[0].name,f=w[1];if(M.font&&t===M.fontName&&f===M.fontSize)break;flushTextContentItem();M.fontName=t;M.fontSize=f;next(handleSetFont(t,null));return;case ot:M.textRise=w[0];break;case rt:M.textHScale=w[0]/100;break;case it:M.leading=w[0];break;case ct:M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();b\
+reak;case lt:M.leading=-w[1];M.translateTextLineMatrix(w[0],w[1]);M.textMatrix=M.textLineMatrix.slice();break;case ut:M.carriageReturn();break;case ht:M.setTextMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);M.setTextLineMatrix(w[0],w[1],w[2],w[3],w[4],w[5]);updateAdvanceScale();break;case tt:M.charSpacing=w[0];break;case at:M.wordSpacing=w[0];break;case Qe:M.textMatrix=Fa.slice();M.textLineMatrix=Fa.slice();break;case ft:if(!i.state.font){S.ensureStateFont(i.state);continue}const g=(M.font.vertical?1:-1)\
+*M.fontSize/1e3,x=w[0];for(let e=0,t=x.length;e<t;e++){const t=x[e];if("string"==typeof t)C.push(t);else if("number"==typeof t&&0!==t){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:t*g})}}if(C.length>0){const e=C.join("");C.length=0;buildTextContentItem({chars:e,extraSpacing:0})}break;case dt:if(!i.state.font){S.ensureStateFont(i.state);continue}buildTextContentItem({chars:w[0],extraSpacing:0});break;case gt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.carri\
+ageReturn();buildTextContentItem({chars:w[0],extraSpacing:0});break;case pt:if(!i.state.font){S.ensureStateFont(i.state);continue}M.wordSpacing=w[0];M.charSpacing=w[1];M.carriageReturn();buildTextContentItem({chars:w[2],extraSpacing:0});break;case Nt:flushTextContentItem();v??=r.get("XObject")||Dict.empty;y=w[0]instanceof Name;p=w[0].name;if(y&&F.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("XObject must be referred to by name.");let f=v.getRaw(p);if(f instanceo\
+f Ref){if(F.getByRef(f)){e();return}if(S.globalImageCache.getData(f,S.pageIndex)){e();return}f=k.fetch(f)}if(!(f instanceof BaseStream))throw new FormatError("XObject should be a stream");const{dict:g}=f,b=g.get("Subtype");if(!(b instanceof Name))throw new FormatError("XObject should have a Name subtype");if("Form"!==b.name){F.set(p,g.objId,!0);e();return}const w=i.state.clone(),x=new StateManager(w),C=lookupMatrix(g.getArray("Matrix"),null);C&&x.transform(C);const T=g.get("Resources");enqueueCh\
+unk();const O={enqueueInvoked:!1,enqueue(e,t){this.enqueueInvoked=!0;s.enqueue(e,t)},get desiredSize(){return s.desiredSize??0},get ready(){return s.ready}};S.getTextContent({stream:f,task:a,resources:T instanceof Dict?T:r,stateManager:x,includeMarkedContent:n,sink:s&&O,seenStyles:o,viewBox:c,lang:l,markedContentData:h,disableNormalization:u,keepWhiteSpace:d,prevRefs:m}).then((function(){O.enqueueInvoked||F.set(p,g.objId,!0);e()}),t)})).catch((function(e){if(!(e instanceof AbortException)){if(!S\
+.options.ignoreErrors)throw e;warn(`getTextContent - ignoring XObject: "${e}".`)}})));return;case De:y=w[0]instanceof Name;p=w[0].name;if(y&&T.getByName(p))break;next(new Promise((function(e,t){if(!y)throw new FormatError("GState must be referred to by name.");const a=r.get("ExtGState");if(!(a instanceof Dict))throw new FormatError("ExtGState should be a dictionary.");const i=a.get(p);if(!(i instanceof Dict))throw new FormatError("GState should be a dictionary.");const n=i.get("Font");if(n){flus\
+hTextContentItem();M.fontName=null;M.fontSize=n[1];handleSetFont(null,n[0]).then(e,t)}else{T.set(p,i.objId,!0);e()}})).catch((function(e){if(!(e instanceof AbortException)){if(!S.options.ignoreErrors)throw e;warn(`getTextContent - ignoring ExtGState: "${e}".`)}})));return;case Lt:flushTextContentItem();if(n){h.level++;b.items.push({type:"beginMarkedContent",tag:w[0]instanceof Name?w[0].name:null})}break;case jt:flushTextContentItem();if(n){h.level++;let e=null;w[1]instanceof Dict&&(e=w[1].get("M\
+CID"));b.items.push({type:"beginMarkedContentProps",id:Number.isInteger(e)?`${S.idFactory.getPageObjId()}_mc${e}`:null,tag:w[0]instanceof Name?w[0].name:null})}break;case _t:flushTextContentItem();if(n){if(0===h.level)break;h.level--;b.items.push({type:"endMarkedContent"})}break;case Re:!e||e.font===M.font&&e.fontSize===M.fontSize&&e.fontName===M.fontName||flushTextContentItem()}if(b.items.length>=(s?.desiredSize??1)){g=!0;break}}if(g)next(En);else{flushTextContentItem();enqueueChunk();e()}})).c\
+atch((e=>{if(!(e instanceof AbortException)){if(!this.options.ignoreErrors)throw e;warn(`getTextContent - ignoring errors during "${a.name}" task: "${e}".`);flushTextContentItem();enqueueChunk()}}))}async extractDataStructures(e,t){const a=this.xref;let r;const i=this.readToUnicode(t.toUnicode);if(t.composite){const a=e.get("CIDSystemInfo");a instanceof Dict&&(t.cidSystemInfo={registry:stringToPDFString(a.get("Registry")),ordering:stringToPDFString(a.get("Ordering")),supplement:a.get("Supplement\
+")});try{const t=e.get("CIDToGIDMap");t instanceof BaseStream&&(r=t.getBytes())}catch(e){if(!this.options.ignoreErrors)throw e;warn(`extractDataStructures - ignoring CIDToGIDMap data: "${e}".`)}}const n=[];let s,o=null;if(e.has("Encoding")){s=e.get("Encoding");if(s instanceof Dict){o=s.get("BaseEncoding");o=o instanceof Name?o.name:null;if(s.has("Differences")){const e=s.get("Differences");let t=0;for(const r of e){const e=a.fetchIfRef(r);if("number"==typeof e)t=e;else{if(!(e instanceof Name))th\
+row new FormatError(`Invalid entry in \'Differences\' array: ${e}`);n[t++]=e.name}}}}else if(s instanceof Name)o=s.name;else{const e="Encoding is not a Name nor a Dict";if(!this.options.ignoreErrors)throw new FormatError(e);warn(e)}"MacRomanEncoding"!==o&&"MacExpertEncoding"!==o&&"WinAnsiEncoding"!==o&&(o=null)}const c=!t.file||t.isInternalFont,l=ei()[t.name];o&&c&&l&&(o=null);if(o)t.defaultEncoding=getEncoding(o);else{const e=!!(t.flags&Pr),a=!!(t.flags&Lr);s=Ar;"TrueType"!==t.type||a||(s=kr);if(\
+e||l){s=Sr;c&&(/Symbol/i.test(t.name)?s=Cr:/Dingbats/i.test(t.name)?s=vr:/Wingdings/i.test(t.name)&&(s=kr))}t.defaultEncoding=s}t.differences=n;t.baseEncodingName=o;t.hasEncoding=!!o||n.length>0;t.dict=e;t.toUnicode=await i;const h=await this.buildToUnicode(t);t.toUnicode=h;r&&(t.cidToGidMap=this.readCidToGidMap(r,h));return t}_simpleFontToUnicode(e,t=!1){assert(!e.composite,"Must be a simple font.");const a=[],r=e.defaultEncoding.slice(),i=e.baseEncodingName,n=e.differences;for(const e in n){co\
+nst t=n[e];".notdef"!==t&&(r[e]=t)}const s=Fr();for(const n in r){let o=r[n];if(""===o)continue;let c=s[o];if(void 0!==c){a[n]=String.fromCharCode(c);continue}let l=0;switch(o[0]){case"G":3===o.length&&(l=parseInt(o.substring(1),16));break;case"g":5===o.length&&(l=parseInt(o.substring(1),16));break;case"C":case"c":if(o.length>=3&&o.length<=4){const a=o.substring(1);if(t){l=parseInt(a,16);break}l=+a;if(Number.isNaN(l)&&Number.isInteger(parseInt(a,16)))return this._simpleFontToUnicode(e,!0)}break;\
+case"u":c=getUnicodeForGlyph(o,s);-1!==c&&(l=c);break;default:switch(o){case"f_h":case"f_t":case"T_h":a[n]=o.replaceAll("_","");continue}}if(l>0&&l<=1114111&&Number.isInteger(l)){if(i&&l===+n){const e=getEncoding(i);if(e&&(o=e[n])){a[n]=String.fromCharCode(s[o]);continue}}a[n]=String.fromCodePoint(l)}}return a}async buildToUnicode(e){e.hasIncludedToUnicodeMap=e.toUnicode?.length>0;if(e.hasIncludedToUnicodeMap){!e.composite&&e.hasEncoding&&(e.fallbackToUnicode=this._simpleFontToUnicode(e));return\
+ e.toUnicode}if(!e.composite)return new ToUnicodeMap(this._simpleFontToUnicode(e));if(e.composite&&(e.cMap.builtInCMap&&!(e.cMap instanceof IdentityCMap)||"Adobe"===e.cidSystemInfo?.registry&&("GB1"===e.cidSystemInfo.ordering||"CNS1"===e.cidSystemInfo.ordering||"Japan1"===e.cidSystemInfo.ordering||"Korea1"===e.cidSystemInfo.ordering))){const{registry:t,ordering:a}=e.cidSystemInfo,r=Name.get(`${t}-${a}-UCS2`),i=await CMapFactory.create({encoding:r,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useC\
+Map:null}),n=[],s=[];e.cMap.forEach((function(e,t){if(t>65535)throw new FormatError("Max size of CID is 65,535");const a=i.lookup(t);if(a){s.length=0;for(let e=0,t=a.length;e<t;e+=2)s.push((a.charCodeAt(e)<<8)+a.charCodeAt(e+1));n[e]=String.fromCharCode(...s)}}));return new ToUnicodeMap(n)}return new IdentityToUnicodeMap(e.firstChar,e.lastChar)}async readToUnicode(e){if(!e)return null;if(e instanceof Name){const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,\
+useCMap:null});return t instanceof IdentityCMap?new IdentityToUnicodeMap(0,65535):new ToUnicodeMap(t.getMap())}if(e instanceof BaseStream)try{const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});if(t instanceof IdentityCMap)return new IdentityToUnicodeMap(0,65535);const a=new Array(t.length);t.forEach((function(e,t){if("number"==typeof t){a[e]=String.fromCodePoint(t);return}t.length%2!=0&&(t="\\0"+t);const r=[];for(let e=0;e<t.length;e+=2){const\
+ a=t.charCodeAt(e)<<8|t.charCodeAt(e+1);if(55296!=(63488&a)){r.push(a);continue}e+=2;const i=t.charCodeAt(e)<<8|t.charCodeAt(e+1);r.push(((1023&a)<<10)+(1023&i)+65536)}a[e]=String.fromCodePoint(...r)}));return new ToUnicodeMap(a)}catch(e){if(e instanceof AbortException)return null;if(this.options.ignoreErrors){warn(`readToUnicode - ignoring ToUnicode data: "${e}".`);return null}throw e}return null}readCidToGidMap(e,t){const a=[];for(let r=0,i=e.length;r<i;r++){const i=e[r++]<<8|e[r],n=r>>1;(0!==\
+i||t.has(n))&&(a[n]=i)}return a}extractWidths(e,t,a){const r=this.xref;let i=[],n=0;const s=[];let o;if(a.composite){const t=e.get("DW");n="number"==typeof t?Math.ceil(t):1e3;const c=e.get("W");if(Array.isArray(c))for(let e=0,t=c.length;e<t;e++){let t=r.fetchIfRef(c[e++]);if(!Number.isInteger(t))break;const a=r.fetchIfRef(c[e]);if(Array.isArray(a))for(const e of a){const a=r.fetchIfRef(e);"number"==typeof a&&(i[t]=a);t++}else{if(!Number.isInteger(a))break;{const n=r.fetchIfRef(c[++e]);if("number\
+"!=typeof n)continue;for(let e=t;e<=a;e++)i[e]=n}}}if(a.vertical){const t=e.getArray("DW2");let a=isNumberArray(t,2)?t:[880,-1e3];o=[a[1],.5*n,a[0]];a=e.get("W2");if(Array.isArray(a))for(let e=0,t=a.length;e<t;e++){let t=r.fetchIfRef(a[e++]);if(!Number.isInteger(t))break;const i=r.fetchIfRef(a[e]);if(Array.isArray(i))for(let e=0,a=i.length;e<a;e++){const a=[r.fetchIfRef(i[e++]),r.fetchIfRef(i[e++]),r.fetchIfRef(i[e])];isNumberArray(a,null)&&(s[t]=a);t++}else{if(!Number.isInteger(i))break;{const \
+n=[r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e]),r.fetchIfRef(a[++e])];if(!isNumberArray(n,null))continue;for(let e=t;e<=i;e++)s[e]=n}}}}}else{const s=e.get("Widths");if(Array.isArray(s)){let e=a.firstChar;for(const t of s){const a=r.fetchIfRef(t);"number"==typeof a&&(i[e]=a);e++}const o=t.get("MissingWidth");n="number"==typeof o?o:0}else{const t=e.get("BaseFont");if(t instanceof Name){const e=this.getBaseFontMetrics(t.name);i=this.buildCharCodeToWidth(e.widths,a);n=e.defaultWidth}}}let c=!0,l=n;for\
+(const e in i){const t=i[e];if(t)if(l){if(l!==t){c=!1;break}}else l=t}c?a.flags|=Nr:a.flags&=~Nr;a.defaultWidth=n;a.widths=i;a.defaultVMetrics=o;a.vmetrics=s}isSerifFont(e){const t=e.split("-",1)[0];return t in Qr()||/serif/gi.test(t)}getBaseFontMetrics(e){let t=0,a=Object.create(null),r=!1;let i=Jr()[e]||e;const n=ii();i in n||(i=this.isSerifFont(e)?"Times-Roman":"Helvetica");const s=n[i];if("number"==typeof s){t=s;r=!0}else a=s();return{defaultWidth:t,monospace:r,widths:a}}buildCharCodeToWidth\
+(e,t){const a=Object.create(null),r=t.differences,i=t.defaultEncoding;for(let t=0;t<256;t++)t in r&&e[r[t]]?a[t]=e[r[t]]:t in i&&e[i[t]]&&(a[t]=e[i[t]]);return a}preEvaluateFont(e){const t=e;let a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");let r,i=!1;if("Type0"===a.name){const t=e.get("DescendantFonts");if(!t)throw new FormatError("Descendant fonts are not specified");if(!((e=Array.isArray(t)?this.xref.fetchIfRef(t[0]):t)instanceof Dict))throw new Form\
+atError("Descendant font is not a dictionary.");a=e.get("Subtype");if(!(a instanceof Name))throw new FormatError("invalid font Subtype");i=!0}let n=e.get("FirstChar");Number.isInteger(n)||(n=0);let s=e.get("LastChar");Number.isInteger(s)||(s=i?65535:255);const o=e.get("FontDescriptor"),c=e.get("ToUnicode")||t.get("ToUnicode");if(o){r=new MurmurHash3_64;const a=t.getRaw("Encoding");if(a instanceof Name)r.update(a.name);else if(a instanceof Ref)r.update(a.toString());else if(a instanceof Dict)for(\
+const e of a.getRawValues())if(e instanceof Name)r.update(e.name);else if(e instanceof Ref)r.update(e.toString());else if(Array.isArray(e)){const t=e.length,a=new Array(t);for(let r=0;r<t;r++){const t=e[r];t instanceof Name?a[r]=t.name:("number"==typeof t||t instanceof Ref)&&(a[r]=t.toString())}r.update(a.join())}r.update(`${n}-${s}`);if(c instanceof BaseStream){const e=c.str||c,t=e.buffer?new Uint8Array(e.buffer.buffer,0,e.bufferLength):new Uint8Array(e.bytes.buffer,e.start,e.end-e.start);r.upd\
+ate(t)}else c instanceof Name&&r.update(c.name);const o=e.get("Widths")||t.get("Widths");if(Array.isArray(o)){const e=[];for(const t of o)("number"==typeof t||t instanceof Ref)&&e.push(t.toString());r.update(e.join())}if(i){r.update("compositeFont");const a=e.get("W")||t.get("W");if(Array.isArray(a)){const e=[];for(const t of a)if("number"==typeof t||t instanceof Ref)e.push(t.toString());else if(Array.isArray(t)){const a=[];for(const e of t)("number"==typeof e||e instanceof Ref)&&a.push(e.toStri\
+ng());e.push(`[${a.join()}]`)}r.update(e.join())}const i=e.getRaw("CIDToGIDMap")||t.getRaw("CIDToGIDMap");i instanceof Name?r.update(i.name):i instanceof Ref?r.update(i.toString()):i instanceof BaseStream&&r.update(i.peekBytes())}}return{descriptor:o,dict:e,baseDict:t,composite:i,type:a.name,firstChar:n,lastChar:s,toUnicode:c,hash:r?r.hexdigest():""}}async translateFont({descriptor:e,dict:a,baseDict:r,composite:i,type:n,firstChar:s,lastChar:o,toUnicode:c,cssFontInfo:l}){const h="Type3"===n;if(!e\
+){if(!h){let e=a.get("BaseFont");if(!(e instanceof Name))throw new FormatError("Base font is not specified");e=e.name.replaceAll(/[,_]/g,"-");const t=this.getBaseFontMetrics(e),i=e.split("-",1)[0],l=(this.isSerifFont(i)?Er:0)|(t.monospace?Nr:0)|(ei()[i]?Pr:Lr),u={type:n,name:e,loadedName:r.loadedName,systemFontInfo:null,widths:t.widths,defaultWidth:t.defaultWidth,isSimulatedFlags:!0,flags:l,firstChar:s,lastChar:o,toUnicode:c,xHeight:0,capHeight:0,italicAngle:0,isType3Font:h},d=a.get("Widths"),f=\
+getStandardFontName(e);let g=null;if(f){g=await this.fetchStandardFontData(f);u.isInternalFont=!!g}!u.isInternalFont&&this.options.useSystemFonts&&(u.systemFontInfo=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,e,f,n));const p=await this.extractDataStructures(a,u);if(Array.isArray(d)){const e=[];let t=s;for(const a of d){const r=this.xref.fetchIfRef(a);"number"==typeof r&&(e[t]=r);t++}p.widths=e}else p.widths=this.buildCharCodeToWidth(t.widths,p);return\
+ new Font(e,g,p,this.options)}e=Dict.empty}let u=e.get("FontName"),d=a.get("BaseFont");"string"==typeof u&&(u=Name.get(u));"string"==typeof d&&(d=Name.get(d));const f=u?.name,g=d?.name;if(h)f||(u=Name.get(n));else if(f!==g){info(`The FontDescriptor\'s FontName is "${f}" but should be the same as the Font\'s BaseFont "${g}".`);f&&g&&(g.startsWith(f)||!isKnownFontName(f)&&isKnownFontName(g))&&(u=null);u||=d}if(!(u instanceof Name))throw new FormatError("invalid font name");let p,m,b,y,w;try{p=e.get(\
+"FontFile","FontFile2","FontFile3");if(p){if(!(p instanceof BaseStream))throw new FormatError("FontFile should be a stream");if(p.isEmpty)throw new FormatError("FontFile is empty")}}catch(e){if(!this.options.ignoreErrors)throw e;warn(`translateFont - fetching "${u.name}" font file: "${e}".`);p=null}let x=!1,S=null,k=null;if(p){if(p.dict){const e=p.dict.get("Subtype");e instanceof Name&&(m=e.name);b=p.dict.get("Length1");y=p.dict.get("Length2");w=p.dict.get("Length3")}}else if(l){const e=getXfaFo\
+ntName(u.name);if(e){l.fontFamily=`${l.fontFamily}-PdfJS-XFA`;l.metrics=e.metrics||null;S=e.factors||null;p=await this.fetchStandardFontData(e.name);x=!!p;r=a=getXfaFontDict(u.name);i=!0}}else if(!h){const e=getStandardFontName(u.name);if(e){p=await this.fetchStandardFontData(e);x=!!p}!x&&this.options.useSystemFonts&&(k=getFontSubstitution(this.systemFontCache,this.idFactory,this.options.standardFontDataUrl,u.name,e,n))}const C=lookupMatrix(a.getArray("FontMatrix"),t),v=lookupNormalRect(e.getArr\
+ay("FontBBox")||a.getArray("FontBBox"),h?[0,0,0,0]:void 0);let F=e.get("Ascent");"number"!=typeof F&&(F=void 0);let T=e.get("Descent");"number"!=typeof T&&(T=void 0);let O=e.get("XHeight");"number"!=typeof O&&(O=0);let M=e.get("CapHeight");"number"!=typeof M&&(M=0);let D=e.get("Flags");Number.isInteger(D)||(D=0);let R=e.get("ItalicAngle");"number"!=typeof R&&(R=0);const N={type:n,name:u.name,subtype:m,file:p,length1:b,length2:y,length3:w,isInternalFont:x,loadedName:r.loadedName,composite:i,fixed\
+Pitch:!1,fontMatrix:C,firstChar:s,lastChar:o,toUnicode:c,bbox:v,ascent:F,descent:T,xHeight:O,capHeight:M,flags:D,italicAngle:R,isType3Font:h,cssFontInfo:l,scaleFactors:S,systemFontInfo:k};if(i){const e=r.get("Encoding");e instanceof Name&&(N.cidEncoding=e.name);const t=await CMapFactory.create({encoding:e,fetchBuiltInCMap:this._fetchBuiltInCMapBound,useCMap:null});N.cMap=t;N.vertical=N.cMap.vertical}const E=await this.extractDataStructures(a,N);this.extractWidths(a,e,E);return new Font(u.name,p,\
+E,this.options)}static buildFontPaths(e,t,a,r){function buildPath(t){const i=`${e.loadedName}_path_${t}`;try{if(e.renderer.hasBuiltPath(t))return;a.send("commonobj",[i,"FontPath",e.renderer.getPathJs(t)])}catch(e){if(r.ignoreErrors){warn(`buildFontPaths - ignoring ${i} glyph: "${e}".`);return}throw e}}for(const e of t){buildPath(e.fontChar);const t=e.accent;t?.fontChar&&buildPath(t.fontChar)}}static get fallbackFontDict(){const e=new Dict;e.set("BaseFont",Name.get("Helvetica"));e.set("Type",Name\
+.get("FallbackType"));e.set("Subtype",Name.get("FallbackType"));e.set("Encoding",Name.get("WinAnsiEncoding"));return shadow(this,"fallbackFontDict",e)}}class TranslatedFont{#G=!1;#V=null;constructor({loadedName:e,font:t,dict:a}){this.loadedName=e;this.font=t;this.dict=a;this.type3Dependencies=t.isType3Font?new Set:null}send(e){if(!this.#G){this.#G=!0;e.send("commonobj",[this.loadedName,"Font",this.font.exportData()])}}fallback(e,t){if(this.font.data){this.font.disableFontFace=!0;PartialEvaluator\
+.buildFontPaths(this.font,this.font.glyphCacheValues,e,t)}}loadType3Data(e,t,a){if(this.#V)return this.#V;const{font:r,type3Dependencies:i}=this;assert(r.isType3Font,"Must be a Type3 font.");const n=e.clone({ignoreErrors:!1}),s=new RefSet(e.type3FontRefs);this.dict.objId&&!s.has(this.dict.objId)&&s.put(this.dict.objId);n.type3FontRefs=s;let o=Promise.resolve();const c=this.dict.get("CharProcs"),l=this.dict.get("Resources")||t,h=Object.create(null),[u,d,f,g]=r.bbox,p=f-u,m=g-d,b=Math.hypot(p,m);f\
+or(const e of c.getKeys())o=o.then((()=>{const t=c.get(e),r=new OperatorList;return n.getOperatorList({stream:t,task:a,resources:l,operatorList:r}).then((()=>{switch(r.fnArray[0]){case bt:this.#K(r,b);break;case mt:b||this.#J(r)}h[e]=r.getIR();for(const e of r.dependencies)i.add(e)})).catch((function(t){warn(`Type3 font resource "${e}" is not available.`);const a=new OperatorList;h[e]=a.getIR()}))}));this.#V=o.then((()=>{r.charProcOperatorList=h;if(this._bbox){r.isCharBBox=!0;r.bbox=this._bbox}}\
+));return this.#V}#K(e,t=NaN){const a=Util.normalizeRect(e.argsArray[0].slice(2)),r=a[2]-a[0],i=a[3]-a[1],n=Math.hypot(r,i);if(0===r||0===i){e.fnArray.splice(0,1);e.argsArray.splice(0,1)}else if(0===t||Math.round(n/t)>=10){this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}let s=0,o=e.length;for(;s<o;){switch(e.fnArray[s]){case bt:break;case yt:case wt:case xt:case St:case At:case kt:case Ct:case vt:case Ft:case It:case Tt:case Ot:case Mt:case Oe:e.fnArray.splice(s,1);e.argsA\
+rray.splice(s,1);o--;continue;case De:const[t]=e.argsArray[s];let a=0,r=t.length;for(;a<r;){const[e]=t[a];switch(e){case"TR":case"TR2":case"HT":case"BG":case"BG2":case"UCR":case"UCR2":t.splice(a,1);r--;continue}a++}}s++}}#J(e){let t=1;const a=e.length;for(;t<a;){if(e.fnArray[t]===aa){const a=e.argsArray[t][2];this._bbox??=[1/0,1/0,-1/0,-1/0];Util.rectBoundingBox(...a,this._bbox)}t++}}}class StateManager{constructor(e=new EvalState){this.state=e;this.stateStack=[]}save(){const e=this.state;this.s\
+tateStack.push(this.state);this.state=e.clone()}restore(){const e=this.stateStack.pop();e&&(this.state=e)}transform(e){this.state.ctm=Util.transform(this.state.ctm,e)}}class TextState{constructor(){this.ctm=new Float32Array(Fa);this.fontName=null;this.fontSize=0;this.loadedName=null;this.font=null;this.fontMatrix=t;this.textMatrix=Fa.slice();this.textLineMatrix=Fa.slice();this.charSpacing=0;this.wordSpacing=0;this.leading=0;this.textHScale=1;this.textRise=0}setTextMatrix(e,t,a,r,i,n){const s=thi\
+s.textMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}setTextLineMatrix(e,t,a,r,i,n){const s=this.textLineMatrix;s[0]=e;s[1]=t;s[2]=a;s[3]=r;s[4]=i;s[5]=n}translateTextMatrix(e,t){const a=this.textMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}translateTextLineMatrix(e,t){const a=this.textLineMatrix;a[4]=a[0]*e+a[2]*t+a[4];a[5]=a[1]*e+a[3]*t+a[5]}carriageReturn(){this.translateTextLineMatrix(0,-this.leading);this.textMatrix=this.textLineMatrix.slice()}clone(){const e=Object.create(this)\
+;e.textMatrix=this.textMatrix.slice();e.textLineMatrix=this.textLineMatrix.slice();e.fontMatrix=this.fontMatrix.slice();return e}}class EvalState{constructor(){this.ctm=new Float32Array(Fa);this.font=null;this.textRenderingMode=x;this._fillColorSpace=this._strokeColorSpace=ColorSpaceUtils.gray;this.patternFillColorSpace=null;this.patternStrokeColorSpace=null;this.currentPointX=this.currentPointY=0;this.pathMinMax=new Float32Array([1/0,1/0,-1/0,-1/0]);this.pathBuffer=[]}get fillColorSpace(){retur\
+n this._fillColorSpace}set fillColorSpace(e){this._fillColorSpace=this.patternFillColorSpace=e}get strokeColorSpace(){return this._strokeColorSpace}set strokeColorSpace(e){this._strokeColorSpace=this.patternStrokeColorSpace=e}clone({newPath:e=!1}={}){const t=Object.create(this);if(e){t.pathBuffer=[];t.pathMinMax=new Float32Array([1/0,1/0,-1/0,-1/0])}return t}}class EvaluatorPreprocessor{static get opMap(){return shadow(this,"opMap",Object.assign(Object.create(null),{w:{id:Ce,numArgs:1,variableAr\
+gs:!1},J:{id:ve,numArgs:1,variableArgs:!1},j:{id:Fe,numArgs:1,variableArgs:!1},M:{id:Ie,numArgs:1,variableArgs:!1},d:{id:Te,numArgs:2,variableArgs:!1},ri:{id:Oe,numArgs:1,variableArgs:!1},i:{id:Me,numArgs:1,variableArgs:!1},gs:{id:De,numArgs:1,variableArgs:!1},q:{id:Be,numArgs:0,variableArgs:!1},Q:{id:Re,numArgs:0,variableArgs:!1},cm:{id:Ne,numArgs:6,variableArgs:!1},m:{id:Ee,numArgs:2,variableArgs:!1},l:{id:Pe,numArgs:2,variableArgs:!1},c:{id:Le,numArgs:6,variableArgs:!1},v:{id:je,numArgs:4,var\
+iableArgs:!1},y:{id:_e,numArgs:4,variableArgs:!1},h:{id:Ue,numArgs:0,variableArgs:!1},re:{id:Xe,numArgs:4,variableArgs:!1},S:{id:qe,numArgs:0,variableArgs:!1},s:{id:He,numArgs:0,variableArgs:!1},f:{id:We,numArgs:0,variableArgs:!1},F:{id:We,numArgs:0,variableArgs:!1},"f*":{id:ze,numArgs:0,variableArgs:!1},B:{id:$e,numArgs:0,variableArgs:!1},"B*":{id:Ge,numArgs:0,variableArgs:!1},b:{id:Ve,numArgs:0,variableArgs:!1},"b*":{id:Ke,numArgs:0,variableArgs:!1},n:{id:Je,numArgs:0,variableArgs:!1},W:{id:Ye\
+,numArgs:0,variableArgs:!1},"W*":{id:Ze,numArgs:0,variableArgs:!1},BT:{id:Qe,numArgs:0,variableArgs:!1},ET:{id:et,numArgs:0,variableArgs:!1},Tc:{id:tt,numArgs:1,variableArgs:!1},Tw:{id:at,numArgs:1,variableArgs:!1},Tz:{id:rt,numArgs:1,variableArgs:!1},TL:{id:it,numArgs:1,variableArgs:!1},Tf:{id:nt,numArgs:2,variableArgs:!1},Tr:{id:st,numArgs:1,variableArgs:!1},Ts:{id:ot,numArgs:1,variableArgs:!1},Td:{id:ct,numArgs:2,variableArgs:!1},TD:{id:lt,numArgs:2,variableArgs:!1},Tm:{id:ht,numArgs:6,variab\
+leArgs:!1},"T*":{id:ut,numArgs:0,variableArgs:!1},Tj:{id:dt,numArgs:1,variableArgs:!1},TJ:{id:ft,numArgs:1,variableArgs:!1},"\'":{id:gt,numArgs:1,variableArgs:!1},\'"\':{id:pt,numArgs:3,variableArgs:!1},d0:{id:mt,numArgs:2,variableArgs:!1},d1:{id:bt,numArgs:6,variableArgs:!1},CS:{id:yt,numArgs:1,variableArgs:!1},cs:{id:wt,numArgs:1,variableArgs:!1},SC:{id:xt,numArgs:4,variableArgs:!0},SCN:{id:St,numArgs:33,variableArgs:!0},sc:{id:At,numArgs:4,variableArgs:!0},scn:{id:kt,numArgs:33,variableArgs:!0},\
+G:{id:Ct,numArgs:1,variableArgs:!1},g:{id:vt,numArgs:1,variableArgs:!1},RG:{id:Ft,numArgs:3,variableArgs:!1},rg:{id:It,numArgs:3,variableArgs:!1},K:{id:Tt,numArgs:4,variableArgs:!1},k:{id:Ot,numArgs:4,variableArgs:!1},sh:{id:Mt,numArgs:1,variableArgs:!1},BI:{id:Dt,numArgs:0,variableArgs:!1},ID:{id:Bt,numArgs:0,variableArgs:!1},EI:{id:Rt,numArgs:1,variableArgs:!1},Do:{id:Nt,numArgs:1,variableArgs:!1},MP:{id:Et,numArgs:1,variableArgs:!1},DP:{id:Pt,numArgs:2,variableArgs:!1},BMC:{id:Lt,numArgs:1,va\
+riableArgs:!1},BDC:{id:jt,numArgs:2,variableArgs:!1},EMC:{id:_t,numArgs:0,variableArgs:!1},BX:{id:Ut,numArgs:0,variableArgs:!1},EX:{id:Xt,numArgs:0,variableArgs:!1},BM:null,BD:null,true:null,fa:null,fal:null,fals:null,false:null,nu:null,nul:null,null:null}))}static MAX_INVALID_PATH_OPS=10;constructor(e,t,a=new StateManager){this.parser=new Parser({lexer:new Lexer(e,EvaluatorPreprocessor.opMap),xref:t});this.stateManager=a;this.nonProcessedArgs=[];this._isPathOp=!1;this._numInvalidPathOPS=0}get s\
+avedStatesDepth(){return this.stateManager.stateStack.length}read(e){let t=e.args;for(;;){const a=this.parser.getObj();if(a instanceof Cmd){const r=a.cmd,i=EvaluatorPreprocessor.opMap[r];if(!i){warn(`Unknown command "${r}".`);continue}const n=i.id,s=i.numArgs;let o=null!==t?t.length:0;this._isPathOp||(this._numInvalidPathOPS=0);this._isPathOp=n>=Ee&&n<=Je;if(i.variableArgs)o>s&&info(`Command ${r}: expected [0, ${s}] args, but received ${o} args.`);else{if(o!==s){const e=this.nonProcessedArgs;for\
+(;o>s;){e.push(t.shift());o--}for(;o<s&&0!==e.length;){null===t&&(t=[]);t.unshift(e.pop());o++}}if(o<s){const e=`command ${r}: expected ${s} args, but received ${o} args.`;if(this._isPathOp&&++this._numInvalidPathOPS>EvaluatorPreprocessor.MAX_INVALID_PATH_OPS)throw new FormatError(`Invalid ${e}`);warn(`Skipping ${e}`);null!==t&&(t.length=0);continue}}this.preprocessCommand(n,t);e.fn=n;e.args=t;return!0}if(a===wa)return!1;if(null!==a){null===t&&(t=[]);t.push(a);if(t.length>33)throw new FormatErro\
+r("Too many arguments")}}}preprocessCommand(e,t){switch(0|e){case Be:this.stateManager.save();break;case Re:this.stateManager.restore();break;case Ne:this.stateManager.transform(t)}}}class DefaultAppearanceEvaluator extends EvaluatorPreprocessor{constructor(e){super(new StringStream(e))}parse(){const e={fn:0,args:[]},t={fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3)};try{for(;;){e.args.length=0;if(!this.read(e))break;if(0!==this.savedStatesDepth)continue;const{fn:a,args:r}=e;switch(0|\
+a){case nt:const[e,a]=r;e instanceof Name&&(t.fontName=e.name);"number"==typeof a&&a>0&&(t.fontSize=a);break;case It:ColorSpaceUtils.rgb.getRgbItem(r,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(r,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(r,0,t.fontColor,0)}}}catch(e){warn(`parseDefaultAppearance - ignoring errors: "${e}".`)}return t}}function parseDefaultAppearance(e){return new DefaultAppearanceEvaluator(e).parse()}class AppearanceStreamEvaluator extends \
+EvaluatorPreprocessor{constructor(e,t,a,r){super(e);this.stream=e;this.evaluatorOptions=t;this.xref=a;this.globalColorSpaceCache=r;this.resources=e.dict?.get("Resources")}parse(){const e={fn:0,args:[]};let t={scaleFactor:1,fontSize:0,fontName:"",fontColor:new Uint8ClampedArray(3),fillColorSpace:ColorSpaceUtils.gray},a=!1;const r=[];try{for(;;){e.args.length=0;if(a||!this.read(e))break;const{fn:i,args:n}=e;switch(0|i){case Be:r.push({scaleFactor:t.scaleFactor,fontSize:t.fontSize,fontName:t.fontNa\
+me,fontColor:t.fontColor.slice(),fillColorSpace:t.fillColorSpace});break;case Re:t=r.pop()||t;break;case ht:t.scaleFactor*=Math.hypot(n[0],n[1]);break;case nt:const[e,i]=n;e instanceof Name&&(t.fontName=e.name);"number"==typeof i&&i>0&&(t.fontSize=i*t.scaleFactor);break;case wt:t.fillColorSpace=ColorSpaceUtils.parse({cs:n[0],xref:this.xref,resources:this.resources,pdfFunctionFactory:this._pdfFunctionFactory,globalColorSpaceCache:this.globalColorSpaceCache,localColorSpaceCache:this._localColorSpa\
+ceCache});break;case At:t.fillColorSpace.getRgbItem(n,0,t.fontColor,0);break;case It:ColorSpaceUtils.rgb.getRgbItem(n,0,t.fontColor,0);break;case vt:ColorSpaceUtils.gray.getRgbItem(n,0,t.fontColor,0);break;case Ot:ColorSpaceUtils.cmyk.getRgbItem(n,0,t.fontColor,0);break;case dt:case ft:case gt:case pt:a=!0}}}catch(e){warn(`parseAppearanceStream - ignoring errors: "${e}".`)}this.stream.reset();delete t.scaleFactor;delete t.fillColorSpace;return t}get _localColorSpaceCache(){return shadow(this,"_l\
+ocalColorSpaceCache",new LocalColorSpaceCache)}get _pdfFunctionFactory(){return shadow(this,"_pdfFunctionFactory",new PDFFunctionFactory({xref:this.xref,isEvalSupported:this.evaluatorOptions.isEvalSupported}))}}function getPdfColor(e,t){if(e[0]===e[1]&&e[1]===e[2]){return`${numberToString(e[0]/255)} ${t?"g":"G"}`}return Array.from(e,(e=>numberToString(e/255))).join(" ")+" "+(t?"rg":"RG")}class FakeUnicodeFont{constructor(e,t){this.xref=e;this.widths=null;this.firstChar=1/0;this.lastChar=-1/0;thi\
+s.fontFamily=t;const a=new OffscreenCanvas(1,1);this.ctxMeasure=a.getContext("2d",{willReadFrequently:!0});FakeUnicodeFont._fontNameId||(FakeUnicodeFont._fontNameId=1);this.fontName=Name.get(`InvalidPDFjsFont_${t}_${FakeUnicodeFont._fontNameId++}`)}get fontDescriptorRef(){if(!FakeUnicodeFont._fontDescriptorRef){const e=new Dict(this.xref);e.setIfName("Type","FontDescriptor");e.set("FontName",this.fontName);e.set("FontFamily","MyriadPro Regular");e.set("FontBBox",[0,0,0,0]);e.setIfName("FontStret\
+ch","Normal");e.set("FontWeight",400);e.set("ItalicAngle",0);FakeUnicodeFont._fontDescriptorRef=this.xref.getNewPersistentRef(e)}return FakeUnicodeFont._fontDescriptorRef}get descendantFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","CIDFontType0");e.setIfName("CIDToGIDMap","Identity");e.set("FirstChar",this.firstChar);e.set("LastChar",this.lastChar);e.set("FontDescriptor",this.fontDescriptorRef);e.set("DW",1e3);const t=[],a=\
+[...this.widths.entries()].sort();let r=null,i=null;for(const[e,n]of a)if(r)if(e===r+i.length)i.push(n);else{t.push(r,i);r=e;i=[n]}else{r=e;i=[n]}r&&t.push(r,i);e.set("W",t);const n=new Dict(this.xref);n.set("Ordering","Identity");n.set("Registry","Adobe");n.set("Supplement",0);e.set("CIDSystemInfo",n);return this.xref.getNewPersistentRef(e)}get baseFontRef(){const e=new Dict(this.xref);e.set("BaseFont",this.fontName);e.setIfName("Type","Font");e.setIfName("Subtype","Type0");e.setIfName("Encodin\
+g","Identity-H");e.set("DescendantFonts",[this.descendantFontRef]);e.setIfName("ToUnicode","Identity-H");return this.xref.getNewPersistentRef(e)}get resources(){const e=new Dict(this.xref),t=new Dict(this.xref);t.set(this.fontName.name,this.baseFontRef);e.set("Font",t);return e}_createContext(){this.widths=new Map;this.ctxMeasure.font=`1000px ${this.fontFamily}`;return this.ctxMeasure}createFontResources(e){const t=this._createContext();for(const a of e.split(/\\r\\n?|\\n/))for(const e of a.split("\
+")){const a=e.charCodeAt(0);if(this.widths.has(a))continue;const r=t.measureText(e),i=Math.ceil(r.width);this.widths.set(a,i);this.firstChar=Math.min(a,this.firstChar);this.lastChar=Math.max(a,this.lastChar)}return this.resources}static getFirstPositionInfo(e,t,i){const[n,s,o,c]=e;let l=o-n,h=c-s;t%180!=0&&([l,h]=[h,l]);const u=a*i;return{coords:[0,h+r*i-u],bbox:[0,0,l,h],matrix:0!==t?getRotationMatrix(t,h,u):void 0}}createAppearance(e,t,i,n,s,o){const c=this._createContext(),l=[];let h=-1/0;for\
+(const t of e.split(/\\r\\n?|\\n/)){l.push(t);const e=c.measureText(t).width;h=Math.max(h,e);for(const e of codePointIter(t)){const t=String.fromCodePoint(e);let a=this.widths.get(e);if(void 0===a){const r=c.measureText(t);a=Math.ceil(r.width);this.widths.set(e,a);this.firstChar=Math.min(e,this.firstChar);this.lastChar=Math.max(e,this.lastChar)}}}h*=n/1e3;const[u,d,f,g]=t;let p=f-u,m=g-d;i%180!=0&&([p,m]=[m,p]);let b=1;h>p&&(b=p/h);let y=1;const w=a*n,x=r*n,S=w*l.length;S>m&&(y=m/S);const k=n*Math.\
+min(b,y),C=["q",`0 0 ${numberToString(p)} ${numberToString(m)} re W n`,"BT",`1 0 0 1 0 ${numberToString(m+x)} Tm 0 Tc ${getPdfColor(s,!0)}`,`/${this.fontName.name} ${numberToString(k)} Tf`],{resources:v}=this;if(1!==(o="number"==typeof o&&o>=0&&o<=1?o:1)){C.push("/R0 gs");const e=new Dict(this.xref),t=new Dict(this.xref);t.set("ca",o);t.set("CA",o);t.setIfName("Type","ExtGState");e.set("R0",t);v.set("ExtGState",e)}const F=numberToString(w);for(const e of l)C.push(`0 -${F} Td <${stringToUTF16HexS\
+tring(e)}> Tj`);C.push("ET","Q");const T=C.join("\\n"),O=new Dict(this.xref);O.setIfName("Subtype","Form");O.setIfName("Type","XObject");O.set("BBox",[0,0,p,m]);O.set("Length",T.length);O.set("Resources",v);if(i){const e=getRotationMatrix(i,p,m);O.set("Matrix",e)}const M=new StringStream(T);M.dict=O;return M}}const Pn=["m/d","m/d/yy","mm/dd/yy","mm/yy","d-mmm","d-mmm-yy","dd-mmm-yy","yy-mm-dd","mmm-yy","mmmm-yy","mmm d, yyyy","mmmm d, yyyy","m/d/yy h:MM tt","m/d/yy HH:MM"],Ln=["HH:MM","h:MM tt","\
+HH:MM:ss","h:MM:ss tt"];class NameOrNumberTree{constructor(e,t,a){this.root=e;this.xref=t;this._type=a}getAll(){const e=new Map;if(!this.root)return e;const t=this.xref,a=new RefSet;a.put(this.root);const r=[this.root];for(;r.length>0;){const i=t.fetchIfRef(r.shift());if(!(i instanceof Dict))continue;if(i.has("Kids")){const e=i.get("Kids");if(!Array.isArray(e))continue;for(const t of e){if(a.has(t))throw new FormatError(`Duplicate entry in "${this._type}" tree.`);r.push(t);a.put(t)}continue}cons\
+t n=i.get(this._type);if(Array.isArray(n))for(let a=0,r=n.length;a<r;a+=2)e.set(t.fetchIfRef(n[a]),t.fetchIfRef(n[a+1]))}return e}getRaw(e){if(!this.root)return null;const t=this.xref;let a=t.fetchIfRef(this.root),r=0;for(;a.has("Kids");){if(++r>10){warn(`Search depth limit reached for "${this._type}" tree.`);return null}const i=a.get("Kids");if(!Array.isArray(i))return null;let n=0,s=i.length-1;for(;n<=s;){const r=n+s>>1,o=t.fetchIfRef(i[r]),c=o.get("Limits");if(e<t.fetchIfRef(c[0]))s=r-1;else{\
+if(!(e>t.fetchIfRef(c[1]))){a=o;break}n=r+1}}if(n>s)return null}const i=a.get(this._type);if(Array.isArray(i)){let a=0,r=i.length-2;for(;a<=r;){const n=a+r>>1,s=n+(1&n),o=t.fetchIfRef(i[s]);if(e<o)r=s-2;else{if(!(e>o))return i[s+1];a=s+2}}}return null}get(e){return this.xref.fetchIfRef(this.getRaw(e))}}class NameTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Names")}}class NumberTree extends NameOrNumberTree{constructor(e,t){super(e,t,"Nums")}}function clearGlobalCaches(){!function cl\
+earPatternCaches(){Ii=Object.create(null)}();!function clearPrimitiveCaches(){xa=Object.create(null);Sa=Object.create(null);Aa=Object.create(null)}();!function clearUnicodeCaches(){Dr.clear()}();JpxImage.cleanup()}function pickPlatformItem(e){return e instanceof Dict?e.has("UF")?e.get("UF"):e.has("F")?e.get("F"):e.has("Unix")?e.get("Unix"):e.has("Mac")?e.get("Mac"):e.has("DOS")?e.get("DOS"):null:null}class FileSpec{#Y=!1;constructor(e,t,a=!1){if(e instanceof Dict){this.xref=t;this.root=e;e.has("\
+FS")&&(this.fs=e.get("FS"));e.has("RF")&&warn("Related file specifications are not supported");a||(e.has("EF")?this.#Y=!0:warn("Non-embedded file specifications are not supported"))}}get filename(){let e="";const t=pickPlatformItem(this.root);t&&"string"==typeof t&&(e=stringToPDFString(t,!0).replaceAll("\\\\\\\\","\\\\").replaceAll("\\\\/","/").replaceAll("\\\\","/"));return shadow(this,"filename",e||"unnamed")}get content(){if(!this.#Y)return null;this._contentRef||=pickPlatformItem(this.root?.get("EF"))\
+;let e=null;if(this._contentRef){const t=this.xref.fetchIfRef(this._contentRef);t instanceof BaseStream?e=t.getBytes():warn("Embedded file specification points to non-existing/invalid content")}else warn("Embedded file specification does not have any content");return e}get description(){let e="";const t=this.root?.get("Desc");t&&"string"==typeof t&&(e=stringToPDFString(t));return shadow(this,"description",e)}get serializable(){return{rawFilename:this.filename,filename:(e=this.filename,e.substrin\
+g(e.lastIndexOf("/")+1)),content:this.content,description:this.description};var e}}const jn=0,_n=-2,Un=-3,Xn=-4,qn=-5,Hn=-6,Wn=-9;function isWhitespace(e,t){const a=e[t];return" "===a||"\\n"===a||"\\r"===a||"\\t"===a}class XMLParserBase{_resolveEntities(e){return e.replaceAll(/&([^;]+);/g,((e,t)=>{if("#x"===t.substring(0,2))return String.fromCodePoint(parseInt(t.substring(2),16));if("#"===t.substring(0,1))return String.fromCodePoint(parseInt(t.substring(1),10));switch(t){case"lt":return"<";case"gt"\
+:return">";case"amp":return"&";case"quot":return\'"\';case"apos":return"\'"}return this.onResolveEntity(t)}))}_parseContent(e,t){const a=[];let r=t;function skipWs(){for(;r<e.length&&isWhitespace(e,r);)++r}for(;r<e.length&&!isWhitespace(e,r)&&">"!==e[r]&&"/"!==e[r];)++r;const i=e.substring(t,r);skipWs();for(;r<e.length&&">"!==e[r]&&"/"!==e[r]&&"?"!==e[r];){skipWs();let t="",i="";for(;r<e.length&&!isWhitespace(e,r)&&"="!==e[r];){t+=e[r];++r}skipWs();if("="!==e[r])return null;++r;skipWs();const n=e[r\
+];if(\'"\'!==n&&"\'"!==n)return null;const s=e.indexOf(n,++r);if(s<0)return null;i=e.substring(r,s);a.push({name:t,value:this._resolveEntities(i)});r=s+1;skipWs()}return{name:i,attributes:a,parsed:r-t}}_parseProcessingInstruction(e,t){let a=t;for(;a<e.length&&!isWhitespace(e,a)&&">"!==e[a]&&"?"!==e[a]&&"/"!==e[a];)++a;const r=e.substring(t,a);!function skipWs(){for(;a<e.length&&isWhitespace(e,a);)++a}();const i=a;for(;a<e.length&&("?"!==e[a]||">"!==e[a+1]);)++a;return{name:r,value:e.substring(i,a),\
+parsed:a-t}}parseXml(e){let t=0;for(;t<e.length;){let a=t;if("<"===e[t]){++a;let t;switch(e[a]){case"/":++a;t=e.indexOf(">",a);if(t<0){this.onError(Wn);return}this.onEndElement(e.substring(a,t));a=t+1;break;case"?":++a;const r=this._parseProcessingInstruction(e,a);if("?>"!==e.substring(a+r.parsed,a+r.parsed+2)){this.onError(Un);return}this.onPi(r.name,r.value);a+=r.parsed+2;break;case"!":if("--"===e.substring(a+1,a+3)){t=e.indexOf("--\\x3e",a+3);if(t<0){this.onError(qn);return}this.onComment(e.su\
+bstring(a+3,t));a=t+3}else if("[CDATA["===e.substring(a+1,a+8)){t=e.indexOf("]]>",a+8);if(t<0){this.onError(_n);return}this.onCdata(e.substring(a+8,t));a=t+3}else{if("DOCTYPE"!==e.substring(a+1,a+8)){this.onError(Hn);return}{const r=e.indexOf("[",a+8);let i=!1;t=e.indexOf(">",a+8);if(t<0){this.onError(Xn);return}if(r>0&&t>r){t=e.indexOf("]>",a+8);if(t<0){this.onError(Xn);return}i=!0}const n=e.substring(a+8,t+(i?1:0));this.onDoctype(n);a=t+(i?2:1)}}break;default:const i=this._parseContent(e,a);if\
+(null===i){this.onError(Hn);return}let n=!1;if("/>"===e.substring(a+i.parsed,a+i.parsed+2))n=!0;else if(">"!==e.substring(a+i.parsed,a+i.parsed+1)){this.onError(Wn);return}this.onBeginElement(i.name,i.attributes,n);a+=i.parsed+(n?2:1)}}else{for(;a<e.length&&"<"!==e[a];)a++;const r=e.substring(t,a);this.onText(this._resolveEntities(r))}t=a}}onResolveEntity(e){return`&${e};`}onPi(e,t){}onComment(e){}onCdata(e){}onDoctype(e){}onText(e){}onBeginElement(e,t,a){}onEndElement(e){}onError(e){}}class Sim\
+pleDOMNode{constructor(e,t){this.nodeName=e;this.nodeValue=t;Object.defineProperty(this,"parentNode",{value:null,writable:!0})}get firstChild(){return this.childNodes?.[0]}get nextSibling(){const e=this.parentNode.childNodes;if(!e)return;const t=e.indexOf(this);return-1!==t?e[t+1]:void 0}get textContent(){return this.childNodes?this.childNodes.map((e=>e.textContent)).join(""):this.nodeValue||""}get children(){return this.childNodes||[]}hasChildNodes(){return this.childNodes?.length>0}searchNode(\
+e,t){if(t>=e.length)return this;const a=e[t];if(a.name.startsWith("#")&&t<e.length-1)return this.searchNode(e,t+1);const r=[];let i=this;for(;;){if(a.name===i.nodeName){if(0!==a.pos){if(0===r.length)return null;{const[n]=r.pop();let s=0;for(const r of n.childNodes)if(a.name===r.nodeName){if(s===a.pos)return r.searchNode(e,t+1);s++}return i.searchNode(e,t+1)}}{const a=i.searchNode(e,t+1);if(null!==a)return a}}if(i.childNodes?.length>0){r.push([i,0]);i=i.childNodes[0]}else{if(0===r.length)return n\
+ull;for(;0!==r.length;){const[e,t]=r.pop(),a=t+1;if(a<e.childNodes.length){r.push([e,a]);i=e.childNodes[a];break}}if(0===r.length)return null}}}dump(e){if("#text"!==this.nodeName){e.push(`<${this.nodeName}`);if(this.attributes)for(const t of this.attributes)e.push(` ${t.name}="${encodeToXmlString(t.value)}"`);if(this.hasChildNodes()){e.push(">");for(const t of this.childNodes)t.dump(e);e.push(`</${this.nodeName}>`)}else this.nodeValue?e.push(`>${encodeToXmlString(this.nodeValue)}</${this.nodeNam\
+e}>`):e.push("/>")}else e.push(encodeToXmlString(this.nodeValue))}}class SimpleXMLParser extends XMLParserBase{constructor({hasAttributes:e=!1,lowerCaseName:t=!1}){super();this._currentFragment=null;this._stack=null;this._errorCode=jn;this._hasAttributes=e;this._lowerCaseName=t}parseFromString(e){this._currentFragment=[];this._stack=[];this._errorCode=jn;this.parseXml(e);if(this._errorCode!==jn)return;const[t]=this._currentFragment;return t?{documentElement:t}:void 0}onText(e){if(function isWhit\
+espaceString(e){for(let t=0,a=e.length;t<a;t++)if(!isWhitespace(e,t))return!1;return!0}(e))return;const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onCdata(e){const t=new SimpleDOMNode("#text",e);this._currentFragment.push(t)}onBeginElement(e,t,a){this._lowerCaseName&&(e=e.toLowerCase());const r=new SimpleDOMNode(e);r.childNodes=[];this._hasAttributes&&(r.attributes=t);this._currentFragment.push(r);if(!a){this._stack.push(this._currentFragment);this._currentFragment=r.childNodes\
+}}onEndElement(e){this._currentFragment=this._stack.pop()||[];const t=this._currentFragment.at(-1);if(!t)return null;for(const e of t.childNodes)e.parentNode=t;return t}onError(e){this._errorCode=e}}class MetadataParser{constructor(e){e=this._repair(e);const t=new SimpleXMLParser({lowerCaseName:!0}).parseFromString(e);this._metadataMap=new Map;this._data=e;t&&this._parse(t)}_repair(e){return e.replace(/^[^<]+/,"").replaceAll(/>\\\\376\\\\377([^<]+)/g,(function(e,t){const a=t.replaceAll(/\\\\([0-3])([0\
+-7])([0-7])/g,(function(e,t,a,r){return String.fromCharCode(64*t+8*a+1*r)})).replaceAll(/&(amp|apos|gt|lt|quot);/g,(function(e,t){switch(t){case"amp":return"&";case"apos":return"\'";case"gt":return">";case"lt":return"<";case"quot":return\'"\'}throw new Error(`_repair: ${t} isn\'t defined.`)})),r=[">"];for(let e=0,t=a.length;e<t;e+=2){const t=256*a.charCodeAt(e)+a.charCodeAt(e+1);t>=32&&t<127&&60!==t&&62!==t&&38!==t?r.push(String.fromCharCode(t)):r.push("&#x"+(65536+t).toString(16).substring(1)+";")}\
+return r.join("")}))}_getSequence(e){const t=e.nodeName;return"rdf:bag"!==t&&"rdf:seq"!==t&&"rdf:alt"!==t?null:e.childNodes.filter((e=>"rdf:li"===e.nodeName))}_parseArray(e){if(!e.hasChildNodes())return;const[t]=e.childNodes,a=this._getSequence(t)||[];this._metadataMap.set(e.nodeName,a.map((e=>e.textContent.trim())))}_parse(e){let t=e.documentElement;if("rdf:rdf"!==t.nodeName){t=t.firstChild;for(;t&&"rdf:rdf"!==t.nodeName;)t=t.nextSibling}if(t&&"rdf:rdf"===t.nodeName&&t.hasChildNodes())for(const\
+ e of t.childNodes)if("rdf:description"===e.nodeName)for(const t of e.childNodes){const e=t.nodeName;switch(e){case"#text":continue;case"dc:creator":case"dc:subject":this._parseArray(t);continue}this._metadataMap.set(e,t.textContent.trim())}}get serializable(){return{parsedData:this._metadataMap,rawData:this._data}}}const zn=1,$n=2,Gn=3,Vn=4,Kn=5;class StructTreeRoot{constructor(e,t,a){this.xref=e;this.dict=t;this.ref=a instanceof Ref?a:null;this.roleMap=new Map;this.structParentIds=null}init(){\
+this.readRoleMap()}#Z(e,t,a){if(!(e instanceof Ref)||t<0)return;this.structParentIds||=new RefSetCache;let r=this.structParentIds.get(e);if(!r){r=[];this.structParentIds.put(e,r)}r.push([t,a])}addAnnotationIdToPage(e,t){this.#Z(e,t,Vn)}readRoleMap(){const e=this.dict.get("RoleMap");if(e instanceof Dict)for(const[t,a]of e)a instanceof Name&&this.roleMap.set(t,a.name)}static async canCreateStructureTree({catalogRef:e,pdfManager:t,newAnnotationsByPage:a}){if(!(e instanceof Ref)){warn("Cannot save t\
+he struct tree: no catalog reference.");return!1}let r=0,i=!0;for(const[e,n]of a){const{ref:a}=await t.getPage(e);if(!(a instanceof Ref)){warn(`Cannot save the struct tree: page ${e} has no ref.`);i=!0;break}for(const e of n)if(e.accessibilityData?.type){e.parentTreeId=r++;i=!1}}if(i){for(const e of a.values())for(const t of e)delete t.parentTreeId;return!1}return!0}static async createStructureTree({newAnnotationsByPage:e,xref:t,catalogRef:a,pdfManager:r,changes:i}){const n=await r.ensureCatalog\
+("cloneDict"),s=new RefSetCache;s.put(a,n);const o=t.getNewTemporaryRef();n.set("StructTreeRoot",o);const c=new Dict(t);c.set("Type",Name.get("StructTreeRoot"));const l=t.getNewTemporaryRef();c.set("ParentTree",l);const h=[];c.set("K",h);s.put(o,c);const u=new Dict(t),d=[];u.set("Nums",d);const f=await this.#Q({newAnnotationsByPage:e,structTreeRootRef:o,structTreeRoot:null,kids:h,nums:d,xref:t,pdfManager:r,changes:i,cache:s});c.set("ParentTreeNextKey",f);s.put(l,u);for(const[e,t]of s.items())i.p\
+ut(e,{data:t})}async canUpdateStructTree({pdfManager:e,newAnnotationsByPage:t}){if(!this.ref){warn("Cannot update the struct tree: no root reference.");return!1}let a=this.dict.get("ParentTreeNextKey");if(!Number.isInteger(a)||a<0){warn("Cannot update the struct tree: invalid next key.");return!1}const r=this.dict.get("ParentTree");if(!(r instanceof Dict)){warn("Cannot update the struct tree: ParentTree isn\'t a dict.");return!1}const i=r.get("Nums");if(!Array.isArray(i)){warn("Cannot update the \
+struct tree: nums isn\'t an array.");return!1}const n=new NumberTree(r,this.xref);for(const a of t.keys()){const{pageDict:t}=await e.getPage(a);if(!t.has("StructParents"))continue;const r=t.get("StructParents");if(!Number.isInteger(r)||!Array.isArray(n.get(r))){warn(`Cannot save the struct tree: page ${a} has a wrong id.`);return!1}}let s=!0;for(const[r,i]of t){const{pageDict:t}=await e.getPage(r);StructTreeRoot.#ee({elements:i,xref:this.xref,pageDict:t,numberTree:n});for(const e of i)if(e.access\
+ibilityData?.type){e.accessibilityData.structParent>=0||(e.parentTreeId=a++);s=!1}}if(s){for(const e of t.values())for(const t of e){delete t.parentTreeId;delete t.structTreeParent}return!1}return!0}async updateStructureTree({newAnnotationsByPage:e,pdfManager:t,changes:a}){const{ref:r,xref:i}=this,n=this.dict.clone(),s=new RefSetCache;s.put(r,n);let o,c=n.getRaw("ParentTree");if(c instanceof Ref)o=i.fetch(c);else{o=c;c=i.getNewTemporaryRef();n.set("ParentTree",c)}o=o.clone();s.put(c,o);let l=o.g\
+etRaw("Nums"),h=null;if(l instanceof Ref){h=l;l=i.fetch(h)}l=l.slice();h||o.set("Nums",l);const u=await StructTreeRoot.#Q({newAnnotationsByPage:e,structTreeRootRef:r,structTreeRoot:this,kids:null,nums:l,xref:i,pdfManager:t,changes:a,cache:s});if(-1!==u){n.set("ParentTreeNextKey",u);h&&s.put(h,l);for(const[e,t]of s.items())a.put(e,{data:t})}}static async#Q({newAnnotationsByPage:e,structTreeRootRef:t,structTreeRoot:a,kids:r,nums:i,xref:n,pdfManager:s,changes:o,cache:c}){const l=Name.get("OBJR");le\
+t h,u=-1;for(const[d,f]of e){const e=await s.getPage(d),{ref:g}=e,p=g instanceof Ref;for(const{accessibilityData:s,ref:m,parentTreeId:b,structTreeParent:y}of f){if(!s?.type)continue;const{structParent:f}=s;if(a&&Number.isInteger(f)&&f>=0){let t=(h||=new Map).get(d);if(void 0===t){t=new StructTreePage(a,e.pageDict).collectObjects(g);h.set(d,t)}const r=t?.get(f);if(r){const e=n.fetch(r).clone();StructTreeRoot.#te(e,s);o.put(r,{data:e});continue}}u=Math.max(u,b);const w=n.getNewTemporaryRef(),x=new\
+ Dict(n);StructTreeRoot.#te(x,s);await this.#ae({structTreeParent:y,tagDict:x,newTagRef:w,structTreeRootRef:t,fallbackKids:r,xref:n,cache:c});const S=new Dict(n);x.set("K",S);S.set("Type",l);p&&S.set("Pg",g);S.set("Obj",m);c.put(w,x);i.push(b,w)}}return u+1}static#te(e,{type:t,title:a,lang:r,alt:i,expanded:n,actualText:s}){e.set("S",Name.get(t));a&&e.set("T",stringToAsciiOrUTF16BE(a));r&&e.set("Lang",stringToAsciiOrUTF16BE(r));i&&e.set("Alt",stringToAsciiOrUTF16BE(i));n&&e.set("E",stringToAsciiO\
+rUTF16BE(n));s&&e.set("ActualText",stringToAsciiOrUTF16BE(s))}static#ee({elements:e,xref:t,pageDict:a,numberTree:r}){const i=new Map;for(const t of e)if(t.structTreeParentId){const e=parseInt(t.structTreeParentId.split("_mc")[1],10);let a=i.get(e);if(!a){a=[];i.set(e,a)}a.push(t)}const n=a.get("StructParents");if(!Number.isInteger(n))return;const s=r.get(n),updateElement=(e,a,r)=>{const n=i.get(e);if(n){const e=a.getRaw("P"),i=t.fetchIfRef(e);if(e instanceof Ref&&i instanceof Dict){const e={ref:\
+r,dict:a};for(const t of n)t.structTreeParent=e}return!0}return!1};for(const e of s){if(!(e instanceof Ref))continue;const a=t.fetch(e),r=a.get("K");if(Number.isInteger(r))updateElement(r,a,e);else if(Array.isArray(r))for(let i of r){i=t.fetchIfRef(i);if(Number.isInteger(i)&&updateElement(i,a,e))break;if(!(i instanceof Dict))continue;if(!isName(i.get("Type"),"MCR"))break;const r=i.get("MCID");if(Number.isInteger(r)&&updateElement(r,a,e))break}}}static async#ae({structTreeParent:e,tagDict:t,newTa\
+gRef:a,structTreeRootRef:r,fallbackKids:i,xref:n,cache:s}){let o,c=null;if(e){({ref:c}=e);o=e.dict.getRaw("P")||r}else o=r;t.set("P",o);const l=n.fetchIfRef(o);if(!l){i.push(a);return}let h=s.get(o);if(!h){h=l.clone();s.put(o,h)}const u=h.getRaw("K");let d=u instanceof Ref?s.get(u):null;if(!d){d=n.fetchIfRef(u);d=Array.isArray(d)?d.slice():[u];const e=n.getNewTemporaryRef();h.set("K",e);s.put(e,d)}const f=d.indexOf(c);d.splice(f>=0?f+1:d.length,0,a)}}class StructElementNode{constructor(e,t){this\
+.tree=e;this.xref=e.xref;this.dict=t;this.kids=[];this.parseKids()}get role(){const e=this.dict.get("S"),t=e instanceof Name?e.name:"",{root:a}=this.tree;return a.roleMap.get(t)??t}parseKids(){let e=null;const t=this.dict.getRaw("Pg");t instanceof Ref&&(e=t.toString());const a=this.dict.get("K");if(Array.isArray(a))for(const t of a){const a=this.parseKid(e,this.xref.fetchIfRef(t));a&&this.kids.push(a)}else{const t=this.parseKid(e,a);t&&this.kids.push(t)}}parseKid(e,t){if(Number.isInteger(t))retu\
+rn this.tree.pageDict.objId!==e?null:new StructElement({type:zn,mcid:t,pageObjId:e});if(!(t instanceof Dict))return null;const a=t.getRaw("Pg");a instanceof Ref&&(e=a.toString());const r=t.get("Type")instanceof Name?t.get("Type").name:null;if("MCR"===r){if(this.tree.pageDict.objId!==e)return null;const a=t.getRaw("Stm");return new StructElement({type:$n,refObjId:a instanceof Ref?a.toString():null,pageObjId:e,mcid:t.get("MCID")})}if("OBJR"===r){if(this.tree.pageDict.objId!==e)return null;const a=\
+t.getRaw("Obj");return new StructElement({type:Gn,refObjId:a instanceof Ref?a.toString():null,pageObjId:e})}return new StructElement({type:Kn,dict:t})}}class StructElement{constructor({type:e,dict:t=null,mcid:a=null,pageObjId:r=null,refObjId:i=null}){this.type=e;this.dict=t;this.mcid=a;this.pageObjId=r;this.refObjId=i;this.parentNode=null}}class StructTreePage{constructor(e,t){this.root=e;this.xref=e?.xref??null;this.rootDict=e?.dict??null;this.pageDict=t;this.nodes=[]}collectObjects(e){if(!(thi\
+s.root&&this.rootDict&&e instanceof Ref))return null;const t=this.rootDict.get("ParentTree");if(!t)return null;const a=this.root.structParentIds?.get(e);if(!a)return null;const r=new Map,i=new NumberTree(t,this.xref);for(const[e]of a){const t=i.getRaw(e);t instanceof Ref&&r.set(e,t)}return r}parse(e){if(!(this.root&&this.rootDict&&e instanceof Ref))return;const t=this.rootDict.get("ParentTree");if(!t)return;const a=this.pageDict.get("StructParents"),r=this.root.structParentIds?.get(e);if(!Number\
+.isInteger(a)&&!r)return;const i=new Map,n=new NumberTree(t,this.xref);if(Number.isInteger(a)){const e=n.get(a);if(Array.isArray(e))for(const t of e)t instanceof Ref&&this.addNode(this.xref.fetch(t),i)}if(r)for(const[e,t]of r){const a=n.get(e);if(a){const e=this.addNode(this.xref.fetchIfRef(a),i);1===e?.kids?.length&&e.kids[0].type===Gn&&(e.kids[0].type=t)}}}addNode(e,t,a=0){if(a>40){warn("StructTree MAX_DEPTH reached.");return null}if(!(e instanceof Dict))return null;if(t.has(e))return t.get(e)\
+;const r=new StructElementNode(this,e);t.set(e,r);const i=e.get("P");if(!(i instanceof Dict)||isName(i.get("Type"),"StructTreeRoot")){this.addTopLevelNode(e,r)||t.delete(e);return r}const n=this.addNode(i,t,a+1);if(!n)return r;let s=!1;for(const t of n.kids)if(t.type===Kn&&t.dict===e){t.parentNode=r;s=!0}s||t.delete(e);return r}addTopLevelNode(e,t){const a=this.rootDict.get("K");if(!a)return!1;if(a instanceof Dict){if(a.objId!==e.objId)return!1;this.nodes[0]=t;return!0}if(!Array.isArray(a))retur\
+n!0;let r=!1;for(let i=0;i<a.length;i++){const n=a[i];if(n?.toString()===e.objId){this.nodes[i]=t;r=!0}}return r}get serializable(){function nodeToSerializable(e,t,a=0){if(a>40){warn("StructTree too deep to be fully serialized.");return}const r=Object.create(null);r.role=e.role;r.children=[];t.children.push(r);let i=e.dict.get("Alt");"string"!=typeof i&&(i=e.dict.get("ActualText"));"string"==typeof i&&(r.alt=stringToPDFString(i));const n=e.dict.get("A");if(n instanceof Dict){const e=lookupNormal\
+Rect(n.getArray("BBox"),null);if(e)r.bbox=e;else{const e=n.get("Width"),t=n.get("Height");"number"==typeof e&&e>0&&"number"==typeof t&&t>0&&(r.bbox=[0,0,e,t])}}const s=e.dict.get("Lang");"string"==typeof s&&(r.lang=stringToPDFString(s));for(const t of e.kids){const e=t.type===Kn?t.parentNode:null;e?nodeToSerializable(e,r,a+1):t.type===zn||t.type===$n?r.children.push({type:"content",id:`p${t.pageObjId}_mc${t.mcid}`}):t.type===Gn?r.children.push({type:"object",id:t.refObjId}):t.type===Vn&&r.childr\
+en.push({type:"annotation",id:`pdfjs_internal_id_${t.refObjId}`})}}const e=Object.create(null);e.children=[];e.role="Root";for(const t of this.nodes)t&&nodeToSerializable(t,e);return e}}const Jn=function _isValidExplicitDest(e,t,a){if(!Array.isArray(a)||a.length<2)return!1;const[r,i,...n]=a;if(!e(r)&&!Number.isInteger(r))return!1;if(!t(i))return!1;const s=n.length;let o=!0;switch(i.name){case"XYZ":if(s<2||s>3)return!1;break;case"Fit":case"FitB":return 0===s;case"FitH":case"FitBH":case"FitV":case\
+"FitBV":if(s>1)return!1;break;case"FitR":if(4!==s)return!1;o=!1;break;default:return!1}for(const e of n)if(!("number"==typeof e||o&&null===e))return!1;return!0}.bind(null,(e=>e instanceof Ref),isName);function fetchDest(e){e instanceof Dict&&(e=e.get("D"));return Jn(e)?e:null}function fetchRemoteDest(e){let t=e.get("D");if(t){t instanceof Name&&(t=t.name);if("string"==typeof t)return stringToPDFString(t,!0);if(Jn(t))return JSON.stringify(t)}return null}class Catalog{#re=null;#ie=null;builtInCMap\
+Cache=new Map;fontCache=new RefSetCache;globalColorSpaceCache=new GlobalColorSpaceCache;globalImageCache=new GlobalImageCache;nonBlendModesSet=new RefSet;pageDictCache=new RefSetCache;pageIndexCache=new RefSetCache;pageKidsCountCache=new RefSetCache;standardFontDataCache=new Map;systemFontCache=new Map;constructor(e,t){this.pdfManager=e;this.xref=t;this.#ie=t.getCatalogObj();if(!(this.#ie instanceof Dict))throw new FormatError("Catalog object is not a dictionary.");this.toplevelPagesDict}cloneDi\
+ct(){return this.#ie.clone()}get version(){const e=this.#ie.get("Version");if(e instanceof Name){if(Ca.test(e.name))return shadow(this,"version",e.name);warn(`Invalid PDF catalog version: ${e.name}`)}return shadow(this,"version",null)}get lang(){const e=this.#ie.get("Lang");return shadow(this,"lang",e&&"string"==typeof e?stringToPDFString(e):null)}get needsRendering(){const e=this.#ie.get("NeedsRendering");return shadow(this,"needsRendering","boolean"==typeof e&&e)}get collection(){let e=null;tr\
+y{const t=this.#ie.get("Collection");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch Collection entry; assuming no collection is present.")}return shadow(this,"collection",e)}get acroForm(){let e=null;try{const t=this.#ie.get("AcroForm");t instanceof Dict&&t.size>0&&(e=t)}catch(e){if(e instanceof MissingDataException)throw e;info("Cannot fetch AcroForm entry; assuming no forms are present.")}return shadow(this,"acroForm",e)}get acroForm\
+Ref(){const e=this.#ie.getRaw("AcroForm");return shadow(this,"acroFormRef",e instanceof Ref?e:null)}get metadata(){const e=this.#ie.getRaw("Metadata");if(!(e instanceof Ref))return shadow(this,"metadata",null);let t=null;try{const a=this.xref.fetch(e,!this.xref.encrypt?.encryptMetadata);if(a instanceof BaseStream&&a.dict instanceof Dict){const e=a.dict.get("Type"),r=a.dict.get("Subtype");if(isName(e,"Metadata")&&isName(r,"XML")){const e=stringToUTF8String(a.getString());e&&(t=new MetadataParser(\
+e).serializable)}}}catch(e){if(e instanceof MissingDataException)throw e;info(`Skipping invalid Metadata: "${e}".`)}return shadow(this,"metadata",t)}get markInfo(){let e=null;try{e=this.#ne()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read mark info.")}return shadow(this,"markInfo",e)}#ne(){const e=this.#ie.get("MarkInfo");if(!(e instanceof Dict))return null;const t={Marked:!1,UserProperties:!1,Suspects:!1};for(const a in t){const r=e.get(a);"boolean"==typeof r&&(t[a]=\
+r)}return t}get structTreeRoot(){let e=null;try{e=this.#se()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable read to structTreeRoot info.")}return shadow(this,"structTreeRoot",e)}#se(){const e=this.#ie.getRaw("StructTreeRoot"),t=this.xref.fetchIfRef(e);if(!(t instanceof Dict))return null;const a=new StructTreeRoot(this.xref,t,e);a.init();return a}get toplevelPagesDict(){const e=this.#ie.get("Pages");if(!(e instanceof Dict))throw new FormatError("Invalid top-level pages diction\
+ary.");return shadow(this,"toplevelPagesDict",e)}get documentOutline(){let e=null;try{e=this.#oe()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read document outline.")}return shadow(this,"documentOutline",e)}#oe(){let e=this.#ie.get("Outlines");if(!(e instanceof Dict))return null;e=e.getRaw("First");if(!(e instanceof Ref))return null;const t={items:[]},a=[{obj:e,parent:t}],r=new RefSet;r.put(e);const i=this.xref,n=new Uint8ClampedArray(3);for(;a.length>0;){const t=a.shi\
+ft(),s=i.fetchIfRef(t.obj);if(null===s)continue;s.has("Title")||warn("Invalid outline item encountered.");const o={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:s,resultObj:o,docBaseUrl:this.baseUrl,docAttachments:this.attachments});const c=s.get("Title"),l=s.get("F")||0,h=s.getArray("C"),u=s.get("Count");let d=n;!isNumberArray(h,3)||0===h[0]&&0===h[1]&&0===h[2]||(d=ColorSpaceUtils.rgb.getRgb(h,0));const f={action:o.action,attachment:o.attachment,dest:o.dest,url:o.url,uns\
+afeUrl:o.unsafeUrl,newWindow:o.newWindow,setOCGState:o.setOCGState,title:"string"==typeof c?stringToPDFString(c):"",color:d,count:Number.isInteger(u)?u:void 0,bold:!!(2&l),italic:!!(1&l),items:[]};t.parent.items.push(f);e=s.getRaw("First");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:f});r.put(e)}e=s.getRaw("Next");if(e instanceof Ref&&!r.has(e)){a.push({obj:e,parent:t.parent});r.put(e)}}return t.items.length>0?t.items:null}get permissions(){let e=null;try{e=this.#ce()}catch(e){if(e inst\
+anceof MissingDataException)throw e;warn("Unable to read permissions.")}return shadow(this,"permissions",e)}#ce(){const e=this.xref.trailer.get("Encrypt");if(!(e instanceof Dict))return null;let t=e.get("P");if("number"!=typeof t)return null;t+=2**32;const a=[];for(const e in w){const r=w[e];t&r&&a.push(r)}return a}get optionalContentConfig(){let e=null;try{const t=this.#ie.get("OCProperties");if(!t)return shadow(this,"optionalContentConfig",null);const a=t.get("D");if(!a)return shadow(this,"opt\
+ionalContentConfig",null);const r=t.get("OCGs");if(!Array.isArray(r))return shadow(this,"optionalContentConfig",null);const i=new RefSetCache;for(const e of r)e instanceof Ref&&!i.has(e)&&i.put(e,this.#le(e));e=this.#he(a,i)}catch(e){if(e instanceof MissingDataException)throw e;warn(`Unable to read optional content config: ${e}`)}return shadow(this,"optionalContentConfig",e)}#le(e){const t=this.xref.fetch(e),a={id:e.toString(),name:null,intent:null,usage:{print:null,view:null},rbGroups:[]},r=t.g\
+et("Name");"string"==typeof r&&(a.name=stringToPDFString(r));let i=t.getArray("Intent");Array.isArray(i)||(i=[i]);i.every((e=>e instanceof Name))&&(a.intent=i.map((e=>e.name)));const n=t.get("Usage");if(!(n instanceof Dict))return a;const s=a.usage,o=n.get("Print");if(o instanceof Dict){const e=o.get("PrintState");if(e instanceof Name)switch(e.name){case"ON":case"OFF":s.print={printState:e.name}}}const c=n.get("View");if(c instanceof Dict){const e=c.get("ViewState");if(e instanceof Name)switch(e\
+.name){case"ON":case"OFF":s.view={viewState:e.name}}}return a}#he(e,t){function parseOnOff(e){const a=[];if(Array.isArray(e))for(const r of e)r instanceof Ref&&t.has(r)&&a.push(r.toString());return a}function parseOrder(e,a=0){if(!Array.isArray(e))return null;const i=[];for(const n of e){if(n instanceof Ref&&t.has(n)){r.put(n);i.push(n.toString());continue}const e=parseNestedOrder(n,a);e&&i.push(e)}if(a>0)return i;const n=[];for(const[e]of t.items())r.has(e)||n.push(e.toString());n.length&&i.pus\
+h({name:null,order:n});return i}function parseNestedOrder(e,t){if(++t>i){warn("parseNestedOrder - reached MAX_NESTED_LEVELS.");return null}const r=a.fetchIfRef(e);if(!Array.isArray(r))return null;const n=a.fetchIfRef(r[0]);if("string"!=typeof n)return null;const s=parseOrder(r.slice(1),t);return s?.length?{name:stringToPDFString(n),order:s}:null}const a=this.xref,r=new RefSet,i=10;!function parseRBGroups(e){if(Array.isArray(e))for(const r of e){const e=a.fetchIfRef(r);if(!Array.isArray(e)||!e.le\
+ngth)continue;const i=new Set;for(const a of e)if(a instanceof Ref&&t.has(a)&&!i.has(a.toString())){i.add(a.toString());t.get(a).rbGroups.push(i)}}}(e.get("RBGroups"));return{name:"string"==typeof e.get("Name")?stringToPDFString(e.get("Name")):null,creator:"string"==typeof e.get("Creator")?stringToPDFString(e.get("Creator")):null,baseState:e.get("BaseState")instanceof Name?e.get("BaseState").name:null,on:parseOnOff(e.get("ON")),off:parseOnOff(e.get("OFF")),order:parseOrder(e.get("Order")),groups\
+:[...t]}}setActualNumPages(e=null){this.#re=e}get hasActualNumPages(){return null!==this.#re}get _pagesCount(){const e=this.toplevelPagesDict.get("Count");if(!Number.isInteger(e))throw new FormatError("Page count in top-level pages dictionary is not an integer.");return shadow(this,"_pagesCount",e)}get numPages(){return this.#re??this._pagesCount}get destinations(){const e=this.#ue(),t=Object.create(null);for(const a of e)if(a instanceof NameTree)for(const[e,r]of a.getAll()){const a=fetchDest(r)\
+;a&&(t[stringToPDFString(e,!0)]=a)}else if(a instanceof Dict)for(const[e,r]of a){const a=fetchDest(r);a&&(t[stringToPDFString(e,!0)]||=a)}return shadow(this,"destinations",t)}getDestination(e){if(this.hasOwnProperty("destinations"))return this.destinations[e]??null;const t=this.#ue();for(const a of t)if(a instanceof NameTree||a instanceof Dict){const t=fetchDest(a.get(e));if(t)return t}if(t.length){const t=this.destinations[e];if(t)return t}return null}#ue(){const e=this.#ie.get("Names"),t=[];e?\
+.has("Dests")&&t.push(new NameTree(e.getRaw("Dests"),this.xref));this.#ie.has("Dests")&&t.push(this.#ie.get("Dests"));return t}get pageLabels(){let e=null;try{e=this.#de()}catch(e){if(e instanceof MissingDataException)throw e;warn("Unable to read page labels.")}return shadow(this,"pageLabels",e)}#de(){const e=this.#ie.getRaw("PageLabels");if(!e)return null;const t=new Array(this.numPages);let a=null,r="";const i=new NumberTree(e,this.xref).getAll();let n="",s=1;for(let e=0,o=this.numPages;e<o;e+\
++){const o=i.get(e);if(void 0!==o){if(!(o instanceof Dict))throw new FormatError("PageLabel is not a dictionary.");if(o.has("Type")&&!isName(o.get("Type"),"PageLabel"))throw new FormatError("Invalid type in PageLabel dictionary.");if(o.has("S")){const e=o.get("S");if(!(e instanceof Name))throw new FormatError("Invalid style in PageLabel dictionary.");a=e.name}else a=null;if(o.has("P")){const e=o.get("P");if("string"!=typeof e)throw new FormatError("Invalid prefix in PageLabel dictionary.");r=str\
+ingToPDFString(e)}else r="";if(o.has("St")){const e=o.get("St");if(!(Number.isInteger(e)&&e>=1))throw new FormatError("Invalid start in PageLabel dictionary.");s=e}else s=1}switch(a){case"D":n=s;break;case"R":case"r":n=toRomanNumerals(s,"r"===a);break;case"A":case"a":const e=26,t="a"===a?97:65,r=s-1;n=String.fromCharCode(t+r%e).repeat(Math.floor(r/e)+1);break;default:if(a)throw new FormatError(`Invalid style "${a}" in PageLabel dictionary.`);n=""}t[e]=r+n;s++}return t}get pageLayout(){const e=th\
+is.#ie.get("PageLayout");let t="";if(e instanceof Name)switch(e.name){case"SinglePage":case"OneColumn":case"TwoColumnLeft":case"TwoColumnRight":case"TwoPageLeft":case"TwoPageRight":t=e.name}return shadow(this,"pageLayout",t)}get pageMode(){const e=this.#ie.get("PageMode");let t="UseNone";if(e instanceof Name)switch(e.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"FullScreen":case"UseOC":case"UseAttachments":t=e.name}return shadow(this,"pageMode",t)}get viewerPreferences(){const e=thi\
+s.#ie.get("ViewerPreferences");if(!(e instanceof Dict))return shadow(this,"viewerPreferences",null);let t=null;for(const[a,r]of e){let e;switch(a){case"HideToolbar":case"HideMenubar":case"HideWindowUI":case"FitWindow":case"CenterWindow":case"DisplayDocTitle":case"PickTrayByPDFSize":"boolean"==typeof r&&(e=r);break;case"NonFullScreenPageMode":if(r instanceof Name)switch(r.name){case"UseNone":case"UseOutlines":case"UseThumbs":case"UseOC":e=r.name;break;default:e="UseNone"}break;case"Direction":if(\
+r instanceof Name)switch(r.name){case"L2R":case"R2L":e=r.name;break;default:e="L2R"}break;case"ViewArea":case"ViewClip":case"PrintArea":case"PrintClip":if(r instanceof Name)switch(r.name){case"MediaBox":case"CropBox":case"BleedBox":case"TrimBox":case"ArtBox":e=r.name;break;default:e="CropBox"}break;case"PrintScaling":if(r instanceof Name)switch(r.name){case"None":case"AppDefault":e=r.name;break;default:e="AppDefault"}break;case"Duplex":if(r instanceof Name)switch(r.name){case"Simplex":case"Duple\
+xFlipShortEdge":case"DuplexFlipLongEdge":e=r.name;break;default:e="None"}break;case"PrintPageRange":if(Array.isArray(r)&&r.length%2==0){r.every(((e,t,a)=>Number.isInteger(e)&&e>0&&(0===t||e>=a[t-1])&&e<=this.numPages))&&(e=r)}break;case"NumCopies":Number.isInteger(r)&&r>0&&(e=r);break;default:warn(`Ignoring non-standard key in ViewerPreferences: ${a}.`);continue}if(void 0!==e){t??=Object.create(null);t[a]=e}else warn(`Bad value, for key "${a}", in ViewerPreferences: ${r}.`)}return shadow(this,"v\
+iewerPreferences",t)}get openAction(){const e=this.#ie.get("OpenAction"),t=Object.create(null);if(e instanceof Dict){const a=new Dict(this.xref);a.set("A",e);const r={url:null,dest:null,action:null};Catalog.parseDestDictionary({destDict:a,resultObj:r});Array.isArray(r.dest)?t.dest=r.dest:r.action&&(t.action=r.action)}else Jn(e)&&(t.dest=e);return shadow(this,"openAction",objectSize(t)>0?t:null)}get attachments(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("EmbeddedFiles"\
+)){const a=new NameTree(e.getRaw("EmbeddedFiles"),this.xref);for(const[e,r]of a.getAll()){const a=new FileSpec(r,this.xref);t??=Object.create(null);t[stringToPDFString(e,!0)]=a.serializable}}return shadow(this,"attachments",t)}get xfaImages(){const e=this.#ie.get("Names");let t=null;if(e instanceof Dict&&e.has("XFAImages")){const a=new NameTree(e.getRaw("XFAImages"),this.xref);for(const[e,r]of a.getAll())if(r instanceof BaseStream){t??=new Map;t.set(stringToPDFString(e,!0),r.getBytes())}}return \
+shadow(this,"xfaImages",t)}#fe(){const e=this.#ie.get("Names");let t=null;function appendIfJavaScriptDict(e,a){if(!(a instanceof Dict))return;if(!isName(a.get("S"),"JavaScript"))return;let r=a.get("JS");if(r instanceof BaseStream)r=r.getString();else if("string"!=typeof r)return;r=stringToPDFString(r,!0).replaceAll("\\0","");r&&(t||=new Map).set(e,r)}if(e instanceof Dict&&e.has("JavaScript")){const t=new NameTree(e.getRaw("JavaScript"),this.xref);for(const[e,a]of t.getAll())appendIfJavaScriptDict\
+(stringToPDFString(e,!0),a)}const a=this.#ie.get("OpenAction");a&&appendIfJavaScriptDict("OpenAction",a);return t}get jsActions(){const e=this.#fe();let t=collectActions(this.xref,this.#ie,we);if(e){t||=Object.create(null);for(const[a,r]of e)a in t?t[a].push(r):t[a]=[r]}return shadow(this,"jsActions",t)}async cleanup(e=!1){clearGlobalCaches();this.globalColorSpaceCache.clear();this.globalImageCache.clear(e);this.pageKidsCountCache.clear();this.pageIndexCache.clear();this.pageDictCache.clear();th\
+is.nonBlendModesSet.clear();for(const{dict:e}of await Promise.all(this.fontCache))delete e.cacheKey;this.fontCache.clear();this.builtInCMapCache.clear();this.standardFontDataCache.clear();this.systemFontCache.clear()}async getPageDict(e){const t=[this.toplevelPagesDict],a=new RefSet,r=this.#ie.getRaw("Pages");r instanceof Ref&&a.put(r);const i=this.xref,n=this.pageKidsCountCache,s=this.pageIndexCache,o=this.pageDictCache;let c=0;for(;t.length;){const r=t.pop();if(r instanceof Ref){const l=n.get(\
+r);if(l>=0&&c+l<=e){c+=l;continue}if(a.has(r))throw new FormatError("Pages tree contains circular reference.");a.put(r);const h=await(o.get(r)||i.fetchAsync(r));if(h instanceof Dict){let t=h.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!h.has("Kids")){n.has(r)||n.put(r,1);s.has(r)||s.put(r,c);if(c===e)return[h,r];c++;continue}}t.push(h);continue}if(!(r instanceof Dict))throw new FormatError("Page dictionary kid reference points to wrong type of object.");const{\
+objId:l}=r;let h=r.getRaw("Count");h instanceof Ref&&(h=await i.fetchAsync(h));if(Number.isInteger(h)&&h>=0){l&&!n.has(l)&&n.put(l,h);if(c+h<=e){c+=h;continue}}let u=r.getRaw("Kids");u instanceof Ref&&(u=await i.fetchAsync(u));if(!Array.isArray(u)){let t=r.getRaw("Type");t instanceof Ref&&(t=await i.fetchAsync(t));if(isName(t,"Page")||!r.has("Kids")){if(c===e)return[r,null];c++;continue}throw new FormatError("Page dictionary kids object is not an array.")}for(let e=u.length-1;e>=0;e--){const a=u\
+[e];t.push(a);r===this.toplevelPagesDict&&a instanceof Ref&&!o.has(a)&&o.put(a,i.fetchAsync(a))}}throw new Error(`Page index ${e} not found.`)}async getAllPageDicts(e=!1){const{ignoreErrors:t}=this.pdfManager.evaluatorOptions,a=[{currentNode:this.toplevelPagesDict,posInKids:0}],r=new RefSet,i=this.#ie.getRaw("Pages");i instanceof Ref&&r.put(i);const n=new Map,s=this.xref,o=this.pageIndexCache;let c=0;function addPageDict(e,t){t&&!o.has(t)&&o.put(t,c);n.set(c++,[e,t])}function addPageError(a){if(\
+a instanceof XRefEntryException&&!e)throw a;if(e&&t&&0===c){warn(`getAllPageDicts - Skipping invalid first page: "${a}".`);a=Dict.empty}n.set(c++,[a,null])}for(;a.length>0;){const e=a.at(-1),{currentNode:t,posInKids:i}=e;let n=t.getRaw("Kids");if(n instanceof Ref)try{n=await s.fetchAsync(n)}catch(e){addPageError(e);break}if(!Array.isArray(n)){addPageError(new FormatError("Page dictionary kids object is not an array."));break}if(i>=n.length){a.pop();continue}const o=n[i];let c;if(o instanceof Ref\
+){if(r.has(o)){addPageError(new FormatError("Pages tree contains circular reference."));break}r.put(o);try{c=await s.fetchAsync(o)}catch(e){addPageError(e);break}}else c=o;if(!(c instanceof Dict)){addPageError(new FormatError("Page dictionary kid reference points to wrong type of object."));break}let l=c.getRaw("Type");if(l instanceof Ref)try{l=await s.fetchAsync(l)}catch(e){addPageError(e);break}isName(l,"Page")||!c.has("Kids")?addPageDict(c,o instanceof Ref?o:null):a.push({currentNode:c,posInK\
+ids:0});e.posInKids++}return n}getPageIndex(e){const t=this.pageIndexCache.get(e);if(void 0!==t)return Promise.resolve(t);const a=this.xref;let r=0;const next=t=>function pagesBeforeRef(t){let r,i=0;return a.fetchAsync(t).then((function(a){if(isRefsEqual(t,e)&&!isDict(a,"Page")&&!(a instanceof Dict&&!a.has("Type")&&a.has("Contents")))throw new FormatError("The reference does not point to a /Page dictionary.");if(!a)return null;if(!(a instanceof Dict))throw new FormatError("Node must be a diction\
+ary.");r=a.getRaw("Parent");return a.getAsync("Parent")})).then((function(e){if(!e)return null;if(!(e instanceof Dict))throw new FormatError("Parent must be a dictionary.");return e.getAsync("Kids")})).then((function(e){if(!e)return null;const n=[];let s=!1;for(const r of e){if(!(r instanceof Ref))throw new FormatError("Kid must be a reference.");if(isRefsEqual(r,t)){s=!0;break}n.push(a.fetchAsync(r).then((function(e){if(!(e instanceof Dict))throw new FormatError("Kid node must be a dictionary."\
+);e.has("Count")?i+=e.get("Count"):i++})))}if(!s)throw new FormatError("Kid reference not found in parent\'s kids.");return Promise.all(n).then((()=>[i,r]))}))}(t).then((t=>{if(!t){this.pageIndexCache.put(e,r);return r}const[a,i]=t;r+=a;return next(i)}));return next(e)}get baseUrl(){const e=this.#ie.get("URI");if(e instanceof Dict){const t=e.get("Base");if("string"==typeof t){const e=createValidAbsoluteUrl(t,null,{tryConvertEncoding:!0});if(e)return shadow(this,"baseUrl",e.href)}}return shadow(th\
+is,"baseUrl",this.pdfManager.docBaseUrl)}static parseDestDictionary({destDict:e,resultObj:t,docBaseUrl:a=null,docAttachments:r=null}){if(!(e instanceof Dict)){warn("parseDestDictionary: `destDict` must be a dictionary.");return}let i,n,s=e.get("A");if(!(s instanceof Dict))if(e.has("Dest"))s=e.get("Dest");else{s=e.get("AA");s instanceof Dict&&(s.has("D")?s=s.get("D"):s.has("U")&&(s=s.get("U")))}if(s instanceof Dict){const e=s.get("S");if(!(e instanceof Name)){warn("parseDestDictionary: Invalid ty\
+pe in Action dictionary.");return}const a=e.name;switch(a){case"ResetForm":const e=s.get("Flags"),o=!(1&("number"==typeof e?e:0)),c=[],l=[];for(const e of s.get("Fields")||[])e instanceof Ref?l.push(e.toString()):"string"==typeof e&&c.push(stringToPDFString(e));t.resetForm={fields:c,refs:l,include:o};break;case"URI":i=s.get("URI");i instanceof Name&&(i="/"+i.name);break;case"GoTo":n=s.get("D");break;case"Launch":case"GoToR":const h=s.get("F");if(h instanceof Dict){const e=new FileSpec(h,null,!0)\
+,{rawFilename:t}=e.serializable;i=t}else"string"==typeof h&&(i=h);const u=fetchRemoteDest(s);u&&"string"==typeof i&&(i=i.split("#",1)[0]+"#"+u);const d=s.get("NewWindow");"boolean"==typeof d&&(t.newWindow=d);break;case"GoToE":const f=s.get("T");let g;if(r&&f instanceof Dict){const e=f.get("R"),t=f.get("N");isName(e,"C")&&"string"==typeof t&&(g=r[stringToPDFString(t,!0)])}if(g){t.attachment=g;const e=fetchRemoteDest(s);e&&(t.attachmentDest=e)}else warn(\'parseDestDictionary - unimplemented "GoToE"\
+ action.\');break;case"Named":const p=s.get("N");p instanceof Name&&(t.action=p.name);break;case"SetOCGState":const m=s.get("State"),b=s.get("PreserveRB");if(!Array.isArray(m)||0===m.length)break;const y=[];for(const e of m)if(e instanceof Name)switch(e.name){case"ON":case"OFF":case"Toggle":y.push(e.name)}else e instanceof Ref&&y.push(e.toString());if(y.length!==m.length)break;t.setOCGState={state:y,preserveRB:"boolean"!=typeof b||b};break;case"JavaScript":const w=s.get("JS");let x;w instanceof B\
+aseStream?x=w.getString():"string"==typeof w&&(x=w);const S=x&&recoverJsURL(stringToPDFString(x,!0));if(S){i=S.url;t.newWindow=S.newWindow;break}default:if("JavaScript"===a||"SubmitForm"===a)break;warn(`parseDestDictionary - unsupported action: "${a}".`)}}else e.has("Dest")&&(n=e.get("Dest"));if("string"==typeof i){const e=createValidAbsoluteUrl(i,a,{addDefaultProtocol:!0,tryConvertEncoding:!0});e&&(t.url=e.href);t.unsafeUrl=i}if(n){n instanceof Name&&(n=n.name);"string"==typeof n?t.dest=stringT\
+oPDFString(n,!0):Jn(n)&&(t.dest=n)}}}function addChildren(e,t){if(e instanceof Dict)e=e.getRawValues();else if(e instanceof BaseStream)e=e.dict.getRawValues();else if(!Array.isArray(e))return;for(const r of e)((a=r)instanceof Ref||a instanceof Dict||a instanceof BaseStream||Array.isArray(a))&&t.push(r);var a}class ObjectLoader{refSet=new RefSet;constructor(e,t,a){this.dict=e;this.keys=t;this.xref=a}async load(){const{keys:e,dict:t}=this,a=[];for(const r of e){const e=t.getRaw(r);void 0!==e&&a.pu\
+sh(e)}await this.#ge(a);this.refSet=null}async#ge(e){const t=[],a=[];for(;e.length;){let r=e.pop();if(r instanceof Ref){if(this.refSet.has(r))continue;try{this.refSet.put(r);r=this.xref.fetch(r)}catch(e){if(!(e instanceof MissingDataException)){warn(`ObjectLoader.#walk - requesting all data: "${e}".`);await this.xref.stream.manager.requestAllChunks();return}t.push(r);a.push({begin:e.begin,end:e.end})}}if(r instanceof BaseStream){const e=r.getBaseStreams();if(e){let i=!1;for(const t of e)if(!t.is\
+DataLoaded){i=!0;a.push({begin:t.start,end:t.end})}i&&t.push(r)}}addChildren(r,e)}if(a.length){await this.xref.stream.manager.requestRanges(a);for(const e of t)e instanceof Ref&&this.refSet.remove(e);await this.#ge(t)}}static async load(e,t,a){if(a.stream.isDataLoaded)return;const r=new ObjectLoader(e,t,a);await r.load()}}const Yn=Symbol(),Zn=Symbol(),Qn=Symbol(),es=Symbol(),ts=Symbol(),as=Symbol(),rs=Symbol(),is=Symbol(),ns=Symbol(),ss=Symbol("content"),os=Symbol("data"),cs=Symbol(),ls=Symbol("\
+extra"),hs=Symbol(),us=Symbol(),ds=Symbol(),fs=Symbol(),gs=Symbol(),ps=Symbol(),ms=Symbol(),bs=Symbol(),ys=Symbol(),ws=Symbol(),xs=Symbol(),Ss=Symbol(),As=Symbol(),ks=Symbol(),Cs=Symbol(),vs=Symbol(),Fs=Symbol(),Is=Symbol(),Ts=Symbol(),Os=Symbol(),Ms=Symbol(),Ds=Symbol(),Bs=Symbol(),Rs=Symbol(),Ns=Symbol(),Es=Symbol(),Ls=Symbol(),js=Symbol(),_s=Symbol(),Us=Symbol(),Xs=Symbol(),qs=Symbol(),Hs=Symbol("namespaceId"),Ws=Symbol("nodeName"),zs=Symbol(),$s=Symbol(),Gs=Symbol(),Vs=Symbol(),Ks=Symbol(),J\
+s=Symbol(),Ys=Symbol(),Zs=Symbol(),Qs=Symbol("root"),eo=Symbol(),to=Symbol(),ao=Symbol(),ro=Symbol(),io=Symbol(),no=Symbol(),so=Symbol(),oo=Symbol(),co=Symbol(),lo=Symbol(),ho=Symbol(),uo=Symbol("uid"),fo=Symbol(),go={config:{id:0,check:e=>e.startsWith("http://www.xfa.org/schema/xci/")},connectionSet:{id:1,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-connection-set/")},datasets:{id:2,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-data/")},form:{id:3,check:e=>e.startsWith("http://ww\
+w.xfa.org/schema/xfa-form/")},localeSet:{id:4,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-locale-set/")},pdf:{id:5,check:e=>"http://ns.adobe.com/xdp/pdf/"===e},signature:{id:6,check:e=>"http://www.w3.org/2000/09/xmldsig#"===e},sourceSet:{id:7,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-source-set/")},stylesheet:{id:8,check:e=>"http://www.w3.org/1999/XSL/Transform"===e},template:{id:9,check:e=>e.startsWith("http://www.xfa.org/schema/xfa-template/")},xdc:{id:10,check:e=>e.startsW\
+ith("http://www.xfa.org/schema/xdc/")},xdp:{id:11,check:e=>"http://ns.adobe.com/xdp/"===e},xfdf:{id:12,check:e=>"http://ns.adobe.com/xfdf/"===e},xhtml:{id:13,check:e=>"http://www.w3.org/1999/xhtml"===e},xmpmeta:{id:14,check:e=>"http://ns.adobe.com/xmpmeta/"===e}},po={pt:e=>e,cm:e=>e/2.54*72,mm:e=>e/25.4*72,in:e=>72*e,px:e=>e},mo=/([+-]?\\d+\\.?\\d*)(.*)/;function stripQuotes(e){return e.startsWith("\'")||e.startsWith(\'"\')?e.slice(1,-1):e}function getInteger({data:e,defaultValue:t,validate:a}){if(!e)\
+return t;e=e.trim();const r=parseInt(e,10);return!isNaN(r)&&a(r)?r:t}function getFloat({data:e,defaultValue:t,validate:a}){if(!e)return t;e=e.trim();const r=parseFloat(e);return!isNaN(r)&&a(r)?r:t}function getKeyword({data:e,defaultValue:t,validate:a}){return e&&a(e=e.trim())?e:t}function getStringOption(e,t){return getKeyword({data:e,defaultValue:t[0],validate:e=>t.includes(e)})}function getMeasurement(e,t="0"){t||="0";if(!e)return getMeasurement(t);const a=e.trim().match(mo);if(!a)return getMe\
+asurement(t);const[,r,i]=a,n=parseFloat(r);if(isNaN(n))return getMeasurement(t);if(0===n)return 0;const s=po[i];return s?s(n):n}function getRatio(e){if(!e)return{num:1,den:1};const t=e.split(":",2).map((e=>parseFloat(e.trim()))).filter((e=>!isNaN(e)));1===t.length&&t.push(1);if(0===t.length)return{num:1,den:1};const[a,r]=t;return{num:a,den:r}}function getRelevant(e){return e?e.trim().split(/\\s+/).map((e=>({excluded:"-"===e[0],viewname:e.substring(1)}))):[]}class HTMLResult{static get FAILURE(){r\
+eturn shadow(this,"FAILURE",new HTMLResult(!1,null,null,null))}static get EMPTY(){return shadow(this,"EMPTY",new HTMLResult(!0,null,null,null))}constructor(e,t,a,r){this.success=e;this.html=t;this.bbox=a;this.breakNode=r}isBreak(){return!!this.breakNode}static breakNode(e){return new HTMLResult(!1,null,null,e)}static success(e,t=null){return new HTMLResult(!0,e,t,null)}}class FontFinder{constructor(e){this.fonts=new Map;this.cache=new Map;this.warned=new Set;this.defaultFont=null;this.add(e)}add\
+(e,t=null){for(const t of e)this.addPdfFont(t);for(const e of this.fonts.values())e.regular||(e.regular=e.italic||e.bold||e.bolditalic);if(!t||0===t.size)return;const a=this.fonts.get("PdfJS-Fallback-PdfJS-XFA");for(const e of t)this.fonts.set(e,a)}addPdfFont(e){const t=e.cssFontInfo,a=t.fontFamily;let r=this.fonts.get(a);if(!r){r=Object.create(null);this.fonts.set(a,r);this.defaultFont||(this.defaultFont=r)}let i="";const n=parseFloat(t.fontWeight);0!==parseFloat(t.italicAngle)?i=n>=700?"boldit\
+alic":"italic":n>=700&&(i="bold");if(!i){(e.name.includes("Bold")||e.psName?.includes("Bold"))&&(i="bold");(e.name.includes("Italic")||e.name.endsWith("It")||e.psName?.includes("Italic")||e.psName?.endsWith("It"))&&(i+="italic")}i||(i="regular");r[i]=e}getDefault(){return this.defaultFont}find(e,t=!0){let a=this.fonts.get(e)||this.cache.get(e);if(a)return a;const r=/,|-|_| |bolditalic|bold|italic|regular|it/gi;let i=e.replaceAll(r,"");a=this.fonts.get(i);if(a){this.cache.set(e,a);return a}i=i.to\
+LowerCase();const n=[];for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t);if(0===n.length)for(const[,e]of this.fonts.entries())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(e);if(0===n.length){i=i.replaceAll(/psmt|mt/gi,"");for(const[e,t]of this.fonts.entries())e.replaceAll(r,"").toLowerCase().startsWith(i)&&n.push(t)}if(0===n.length)for(const e of this.fonts.values())e.regular.name?.replaceAll(r,"").toLowerCase().startsWith(i)&\
+&n.push(e);if(n.length>=1){1!==n.length&&t&&warn(`XFA - Too many choices to guess the correct font: ${e}`);this.cache.set(e,n[0]);return n[0]}if(t&&!this.warned.has(e)){this.warned.add(e);warn(`XFA - Cannot find the font: ${e}`)}return null}}function selectFont(e,t){return"italic"===e.posture?"bold"===e.weight?t.bolditalic:t.italic:"bold"===e.weight?t.bold:t.regular}class FontInfo{constructor(e,t,a,r){this.lineHeight=a;this.paraMargin=t||{top:0,bottom:0,left:0,right:0};if(!e){[this.pdfFont,this.\
+xfaFont]=this.defaultFont(r);return}this.xfaFont={typeface:e.typeface,posture:e.posture,weight:e.weight,size:e.size,letterSpacing:e.letterSpacing};const i=r.find(e.typeface);if(i){this.pdfFont=selectFont(e,i);this.pdfFont||([this.pdfFont,this.xfaFont]=this.defaultFont(r))}else[this.pdfFont,this.xfaFont]=this.defaultFont(r)}defaultFont(e){const t=e.find("Helvetica",!1)||e.find("Myriad Pro",!1)||e.find("Arial",!1)||e.getDefault();if(t?.regular){const e=t.regular;return[e,{typeface:e.cssFontInfo.fo\
+ntFamily,posture:"normal",weight:"normal",size:10,letterSpacing:0}]}return[null,{typeface:"Courier",posture:"normal",weight:"normal",size:10,letterSpacing:0}]}}class FontSelector{constructor(e,t,a,r){this.fontFinder=r;this.stack=[new FontInfo(e,t,a,r)]}pushData(e,t,a){const r=this.stack.at(-1);for(const t of["typeface","posture","weight","size","letterSpacing"])e[t]||(e[t]=r.xfaFont[t]);for(const e of["top","bottom","left","right"])isNaN(t[e])&&(t[e]=r.paraMargin[e]);const i=new FontInfo(e,t,a||\
+r.lineHeight,this.fontFinder);i.pdfFont||(i.pdfFont=r.pdfFont);this.stack.push(i)}popFont(){this.stack.pop()}topFont(){return this.stack.at(-1)}}class TextMeasure{constructor(e,t,a,r){this.glyphs=[];this.fontSelector=new FontSelector(e,t,a,r);this.extraHeight=0}pushData(e,t,a){this.fontSelector.pushData(e,t,a)}popFont(e){return this.fontSelector.popFont()}addPara(){const e=this.fontSelector.topFont();this.extraHeight+=e.paraMargin.top+e.paraMargin.bottom}addString(e){if(!e)return;const t=this.fo\
+ntSelector.topFont(),a=t.xfaFont.size;if(t.pdfFont){const r=t.xfaFont.letterSpacing,i=t.pdfFont,n=i.lineHeight||1.2,s=t.lineHeight||Math.max(1.2,n)*a,o=n-(void 0===i.lineGap?.2:i.lineGap),c=Math.max(1,o)*a,l=a/1e3,h=i.defaultWidth||i.charsToGlyphs(" ")[0].width;for(const t of e.split(/[\\u2029\\n]/)){const e=i.encodeString(t).join(""),a=i.charsToGlyphs(e);for(const e of a){const t=e.width||h;this.glyphs.push([t*l+r,s,c,e.unicode,!1])}this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}else{for(con\
+st t of e.split(/[\\u2029\\n]/)){for(const e of t.split(""))this.glyphs.push([a,1.2*a,a,e,!1]);this.glyphs.push([0,0,0,"\\n",!0])}this.glyphs.pop()}}compute(e){let t=-1,a=0,r=0,i=0,n=0,s=0,o=!1,c=!0;for(let l=0,h=this.glyphs.length;l<h;l++){const[h,u,d,f,g]=this.glyphs[l],p=" "===f,m=c?d:u;if(g){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;c=!1}else if(p)if(n+h>e){r=Math.max(r,n);n=0;i+=s;s=m;t=-1;a=0;o=!0;c=!1}else{s=Math.max(m,s);a=n;n+=h;t=l}else if(n+h>e){i+=s;s=m;if(-1!==t){l=t;r=Math.max(r,a);n=0;t=\
+-1;a=0}else{r=Math.max(r,n);n=h}o=!0;c=!1}else{n+=h;s=Math.max(m,s)}}r=Math.max(r,n);i+=s+this.extraHeight;return{width:1.02*r,height:i,isBroken:o}}}const bo=/^[^.[]+/,yo=/^[^\\]]+/,wo=0,xo=1,So=2,Ao=3,ko=4,Co=new Map([["$data",(e,t)=>e.datasets?e.datasets.data:e],["$record",(e,t)=>(e.datasets?e.datasets.data:e)[Ss]()[0]],["$template",(e,t)=>e.template],["$connectionSet",(e,t)=>e.connectionSet],["$form",(e,t)=>e.form],["$layout",(e,t)=>e.layout],["$host",(e,t)=>e.host],["$dataWindow",(e,t)=>e.dat\
+aWindow],["$event",(e,t)=>e.event],["!",(e,t)=>e.datasets],["$xfa",(e,t)=>e],["xfa",(e,t)=>e],["$",(e,t)=>t]]),vo=new WeakMap;function parseExpression(e,t,a=!0){let r=e.match(bo);if(!r)return null;let[i]=r;const n=[{name:i,cacheName:"."+i,index:0,js:null,formCalc:null,operator:wo}];let s=i.length;for(;s<e.length;){const c=s;if("["===e.charAt(s++)){r=e.slice(s).match(yo);if(!r){warn("XFA - Invalid index in SOM expression");return null}n.at(-1).index="*"===(o=(o=r[0]).trim())?1/0:parseInt(o,10)||0\
+;s+=r[0].length+1;continue}let l;switch(e.charAt(s)){case".":if(!t)return null;s++;l=xo;break;case"#":s++;l=So;break;case"[":if(a){warn("XFA - SOM expression contains a FormCalc subexpression which is not supported for now.");return null}l=Ao;break;case"(":if(a){warn("XFA - SOM expression contains a JavaScript subexpression which is not supported for now.");return null}l=ko;break;default:l=wo}r=e.slice(s).match(bo);if(!r)break;[i]=r;s+=i.length;n.push({name:i,cacheName:e.slice(c,s),operator:l,in\
+dex:0,js:null,formCalc:null})}var o;return n}function searchNode(e,t,a,r=!0,i=!0){const n=parseExpression(a,r);if(!n)return null;const s=Co.get(n[0].name);let o,c=0;if(s){o=!0;e=[s(e,t)];c=1}else{o=null===t;e=[t||e]}for(let a=n.length;c<a;c++){const{name:a,cacheName:r,operator:s,index:l}=n[c],h=[];for(const t of e){if(!t.isXFAObject)continue;let e,n;if(i){n=vo.get(t);if(!n){n=new Map;vo.set(t,n)}e=n.get(r)}if(!e){switch(s){case wo:e=t[ms](a,!1);break;case xo:e=t[ms](a,!0);break;case So:e=t[ps](a\
+);e=e.isXFAObjectArray?e.children:[e]}i&&n.set(r,e)}e.length>0&&h.push(e)}if(0!==h.length||o||0!==c)e=isFinite(l)?h.filter((e=>l<e.length)).map((e=>e[l])):h.flat();else{const a=t[vs]();if(!(t=a))return null;c=-1;e=[t]}}return 0===e.length?null:e}function createDataNode(e,t,a){const r=parseExpression(a);if(!r)return null;if(r.some((e=>e.operator===xo)))return null;const i=Co.get(r[0].name);let n=0;if(i){e=i(e,t);n=1}else e=t||e;for(let t=r.length;n<t;n++){const{name:t,operator:a,index:i}=r[n];if(\
+!isFinite(i)){r[n].index=0;return e.createNodes(r.slice(n))}let s;switch(a){case wo:s=e[ms](t,!1);break;case xo:s=e[ms](t,!0);break;case So:s=e[ps](t);s=s.isXFAObjectArray?s.children:[s]}if(0===s.length)return e.createNodes(r.slice(n));if(!(i<s.length)){r[n].index=i-s.length;return e.createNodes(r.slice(n))}{const t=s[i];if(!t.isXFAObject){warn("XFA - Cannot create a node.");return null}e=t}}return null}const Fo=Symbol(),Io=Symbol(),Oo=Symbol(),Mo=Symbol("_children"),Do=Symbol(),Bo=Symbol(),Ro=S\
+ymbol(),No=Symbol(),Eo=Symbol(),Po=Symbol(),Lo=Symbol(),jo=Symbol(),_o=Symbol(),Uo=Symbol("parent"),Xo=Symbol(),qo=Symbol(),Ho=Symbol();let Wo=0;const zo=go.datasets.id;class XFAObject{constructor(e,t,a=!1){this[Hs]=e;this[Ws]=t;this[Lo]=a;this[Uo]=null;this[Mo]=[];this[uo]=`${t}${Wo++}`;this[Is]=null}get isXFAObject(){return!0}get isXFAObjectArray(){return!1}createNodes(e){let t=this,a=null;for(const{name:r,index:i}of e){for(let e=0,n=isFinite(i)?i:0;e<=n;e++){const e=t[Hs]===zo?-1:t[Hs];a=new \
+XmlObject(e,r);t[Qn](a)}t=a}return a}[$s](e){if(!this[Lo]||!this[Gs](e))return!1;const t=e[Ws],a=this[t];if(!(a instanceof XFAObjectArray)){null!==a&&this[Zs](a);this[t]=e;this[Qn](e);return!0}if(a.push(e)){this[Qn](e);return!0}let r="";this.id?r=` (id: ${this.id})`:this.name&&(r=` (name: ${this.name} ${this.h.value})`);warn(`XFA - node "${this[Ws]}"${r} has already enough "${t}"!`);return!1}[Gs](e){return this.hasOwnProperty(e[Ws])&&e[Hs]===this[Hs]}[Ls](){return!1}[Yn](){return!1}[Bs](){return\
+!1}[Rs](){return!1}[Js](){this.para&&this[Fs]()[ls].paraStack.pop()}[Ys](){this[Fs]()[ls].paraStack.push(this.para)}[ao](e){this.id&&this[Hs]===go.template.id&&e.set(this.id,this)}[Fs](){return this[Is].template}[js](){return!1}[_s](){return!1}[Qn](e){e[Uo]=this;this[Mo].push(e);!e[Is]&&this[Is]&&(e[Is]=this[Is])}[Zs](e){const t=this[Mo].indexOf(e);this[Mo].splice(t,1)}[Ts](){return this.hasOwnProperty("value")}[io](e){}[Vs](e){}[hs](){}[ts](e){delete this[Lo];if(this[rs]){e.clean(this[rs]);dele\
+te this[rs]}}[Ms](e){return this[Mo].indexOf(e)}[Ds](e,t){t[Uo]=this;this[Mo].splice(e,0,t);!t[Is]&&this[Is]&&(t[Is]=this[Is])}[Us](){return!this.name}[qs](){return""}[so](){return 0===this[Mo].length?this[ss]:this[Mo].map((e=>e[so]())).join("")}get[Oo](){const e=Object.getPrototypeOf(this);if(!e._attributes){const t=e._attributes=new Set;for(const e of Object.getOwnPropertyNames(this)){if(null===this[e]||this[e]instanceof XFAObject||this[e]instanceof XFAObjectArray)break;t.add(e)}}return shadow\
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+f this[Ss]())yield e}*[No](e,t){for(const a of this[As]())if(!e||t===e.has(a[Ws])){const e=this[gs](),t=a[co](e);t.success||(this[ls].failingNode=a);yield t}}[us](){return null}[Zn](e,t){this[ls].children.push(e)}[gs](){}[es]({filter:e=null,include:t=!0}){if(this[ls].generator){const e=this[gs](),t=this[ls].failingNode[co](e);if(!t.success)return t;t.html&&this[Zn](t.html,t.bbox);delete this[ls].failingNode}else this[ls].generator=this[No](e,t);for(;;){const e=this[ls].generator.next();if(e.done\
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+ss XmlObject extends XFAObject{constructor(e,t,a={}){super(e,t);this[ss]="";this[Bo]=null;if("#text"!==t){const e=new Map;this[Io]=e;for(const[t,r]of Object.entries(a))e.set(t,new XFAAttribute(this,t,r));if(a.hasOwnProperty(zs)){const e=a[zs].xfa.dataNode;void 0!==e&&("dataGroup"===e?this[Bo]=!1:"dataValue"===e&&(this[Bo]=!0))}}this[ns]=!1}[lo](e){const t=this[Ws];if("#text"===t){e.push(encodeToXmlString(this[ss]));return}const a=utf8StringToString(t),r=this[Hs]===zo?"xfa:":"";e.push(`<${r}${a}`\
+);for(const[t,a]of this[Io].entries()){const r=utf8StringToString(t);e.push(` ${r}="${encodeToXmlString(a[ss])}"`)}null!==this[Bo]&&(this[Bo]?e.push(\' xfa:dataNode="dataValue"\'):e.push(\' xfa:dataNode="dataGroup"\'));if(this[ss]||0!==this[Mo].length){e.push(">");if(this[ss])"string"==typeof this[ss]?e.push(encodeToXmlString(this[ss])):this[ss][lo](e);else for(const t of this[Mo])t[lo](e);e.push(`</${r}${a}>`)}else e.push("/>")}[$s](e){if(this[ss]){const e=new XmlObject(this[Hs],"#text");this[Qn](e\
+);e[ss]=this[ss];this[ss]=""}this[Qn](e);return!0}[Vs](e){this[ss]+=e}[hs](){if(this[ss]&&this[Mo].length>0){const e=new XmlObject(this[Hs],"#text");this[Qn](e);e[ss]=this[ss];delete this[ss]}}[co](){return"#text"===this[Ws]?HTMLResult.success({name:"#text",value:this[ss]}):HTMLResult.EMPTY}[Ss](e=null){return e?this[Mo].filter((t=>t[Ws]===e)):this[Mo]}[fs](){return this[Io]}[ps](e){const t=this[Io].get(e);return void 0!==t?t:this[Ss](e)}*[bs](e,t){const a=this[Io].get(e);a&&(yield a);for(const \
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+ue||"";this[ss]=e.toString()}[cs](e=!1){const t=Object.create(null);e&&(t.$ns=this[Hs]);this[ss]&&(t.$content=this[ss]);t.$name=this[Ws];t.children=[];for(const a of this[Mo])t.children.push(a[cs](e));t.attributes=Object.create(null);for(const[e,a]of this[Io])t.attributes[e]=a[ss];return t}}class ContentObject extends XFAObject{constructor(e,t){super(e,t);this[ss]=""}[Vs](e){this[ss]+=e}[hs](){}}class OptionObject extends ContentObject{constructor(e,t,a){super(e,t);this[_o]=a}[hs](){this[ss]=get\
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+transformOrigin="top left"}},presence(e,t){switch(e.presence){case"invisible":t.visibility="hidden";break;case"hidden":case"inactive":t.display="none"}},hAlign(e,t){if("para"===e[Ws])switch(e.hAlign){case"justifyAll":t.textAlign="justify-all";break;case"radix":t.textAlign="left";break;default:t.textAlign=e.hAlign}else switch(e.hAlign){case"left":t.alignSelf="start";break;case"center":t.alignSelf="center";break;case"right":t.alignSelf="end"}},margin(e,t){e.margin&&(t.margin=e.margin[ho]().margin)\
+}};function setMinMaxDimensions(e,t){if("position"===e[Cs]().layout){e.minW>0&&(t.minWidth=measureToString(e.minW));e.maxW>0&&(t.maxWidth=measureToString(e.maxW));e.minH>0&&(t.minHeight=measureToString(e.minH));e.maxH>0&&(t.maxHeight=measureToString(e.maxH))}}function layoutText(e,t,a,r,i,n){const s=new TextMeasure(t,a,r,i);"string"==typeof e?s.addString(e):e[Ks](s);return s.compute(n)}function layoutNode(e,t){let a=null,r=null,i=!1;if((!e.w||!e.h)&&e.value){let n=0,s=0;if(e.margin){n=e.margin.l\
+eftInset+e.margin.rightInset;s=e.margin.topInset+e.margin.bottomInset}let o=null,c=null;if(e.para){c=Object.create(null);o=""===e.para.lineHeight?null:e.para.lineHeight;c.top=""===e.para.spaceAbove?0:e.para.spaceAbove;c.bottom=""===e.para.spaceBelow?0:e.para.spaceBelow;c.left=""===e.para.marginLeft?0:e.para.marginLeft;c.right=""===e.para.marginRight?0:e.para.marginRight}let l=e.font;if(!l){const t=e[Fs]();let a=e[vs]();for(;a&&a!==t;){if(a.font){l=a.font;break}a=a[vs]()}}const h=(e.w||t.width)-n\
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+Cs]();i="position"===t.layout&&""!==t.w?0:e.minW}else i=Math.min(e.maxW,a.width);t.attributes.style.width=measureToString(i)}let n=e.h;if(""===n){if(0===e.maxH){const t=e[Cs]();n="position"===t.layout&&""!==t.h?0:e.minH}else n=Math.min(e.maxH,a.height);t.attributes.style.height=measureToString(n)}r=[e.x,e.y,i,n]}return r}function fixDimensions(e){const t=e[Cs]();if(t.layout?.includes("row")){const a=t[ls],r=e.colSpan;let i;i=-1===r?Math.sumPrecise(a.columnWidths.slice(a.currentColumn)):Math.sumP\
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+onst a=Object.create(null);for(const r of t){const t=e[r];if(null!==t)if($o.hasOwnProperty(r))$o[r](e,a);else if(t instanceof XFAObject){const e=t[ho]();e?Object.assign(a,e):warn(`(DEBUG) - XFA - style for ${r} not implemented yet`)}}return a}function createWrapper(e,t){const{attributes:a}=t,{style:r}=a,i={name:"div",attributes:{class:["xfaWrapper"],style:Object.create(null)},children:[]};a.class.push("xfaWrapped");if(e.border){const{widths:a,insets:n}=e.border[ls];let s,o,c=n[0],l=n[3];const h=\
+n[0]+n[2],u=n[1]+n[3];switch(e.border.hand){case"even":c-=a[0]/2;l-=a[3]/2;s=`calc(100% + ${(a[1]+a[3])/2-u}px)`;o=`calc(100% + ${(a[0]+a[2])/2-h}px)`;break;case"left":c-=a[0];l-=a[3];s=`calc(100% + ${a[1]+a[3]-u}px)`;o=`calc(100% + ${a[0]+a[2]-h}px)`;break;case"right":s=u?`calc(100% - ${u}px)`:"100%";o=h?`calc(100% - ${h}px)`:"100%"}const d=["xfaBorder"];isPrintOnly(e.border)&&d.push("xfaPrintOnly");const f={name:"div",attributes:{class:d,style:{top:`${c}px`,left:`${l}px`,width:s,height:o}},chi\
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+osition;if(r.alignSelf){i.attributes.style.alignSelf=r.alignSelf;delete r.alignSelf}return i}function fixTextIndent(e){const t=getMeasurement(e.textIndent,"0px");if(t>=0)return;const a="padding"+("left"===("right"===e.textAlign?"right":"left")?"Left":"Right"),r=getMeasurement(e[a],"0px");e[a]=r-t+"px"}function setAccess(e,t){switch(e.access){case"nonInteractive":t.push("xfaNonInteractive");break;case"readOnly":t.push("xfaReadOnly");break;case"protected":t.push("xfaDisabled")}}function isPrintOnl\
+y(e){return e.relevant.length>0&&!e.relevant[0].excluded&&"print"===e.relevant[0].viewname}function getCurrentPara(e){const t=e[Fs]()[ls].paraStack;return t.length?t.at(-1):null}function setPara(e,t,a){if(a.attributes.class?.includes("xfaRich")){if(t){""===e.h&&(t.height="auto");""===e.w&&(t.width="auto")}const r=getCurrentPara(e);if(r){const e=a.attributes.style;e.display="flex";e.flexDirection="column";switch(r.vAlign){case"top":e.justifyContent="start";break;case"bottom":e.justifyContent="end\
+";break;case"middle":e.justifyContent="center"}const t=r[ho]();for(const[a,r]of Object.entries(t))a in e||(e[a]=r)}}}function setFontFamily(e,t,a,r){if(!a){delete r.fontFamily;return}const i=stripQuotes(e.typeface);r.fontFamily=`"${i}"`;const n=a.find(i);if(n){const{fontFamily:a}=n.regular.cssFontInfo;a!==i&&(r.fontFamily=`"${a}"`);const s=getCurrentPara(t);if(s&&""!==s.lineHeight)return;if(r.lineHeight)return;const o=selectFont(e,n);o&&(r.lineHeight=Math.max(1.2,o.lineHeight))}}function fixURL(\
+e){const t=createValidAbsoluteUrl(e,null,{addDefaultProtocol:!0,tryConvertEncoding:!0});return t?t.href:null}function createLine(e,t){return{name:"div",attributes:{class:["lr-tb"===e.layout?"xfaLr":"xfaRl"]},children:t}}function flushHTML(e){if(!e[ls])return null;const t={name:"div",attributes:e[ls].attributes,children:e[ls].children};if(e[ls].failingNode){const a=e[ls].failingNode[us]();a&&(e.layout.endsWith("-tb")?t.children.push(createLine(e,[a])):t.children.push(a))}return 0===t.children.len\
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+s](),r=a[ls]?.attempt||0,[,i,n,s]=function getTransformedBBox(e){let t,a,r=""===e.w?NaN:e.w,i=""===e.h?NaN:e.h,[n,s]=[0,0];switch(e.anchorType||""){case"bottomCenter":[n,s]=[r/2,i];break;case"bottomLeft":[n,s]=[0,i];break;case"bottomRight":[n,s]=[r,i];break;case"middleCenter":[n,s]=[r/2,i/2];break;case"middleLeft":[n,s]=[0,i/2];break;case"middleRight":[n,s]=[r,i/2];break;case"topCenter":[n,s]=[r/2,0];break;case"topRight":[n,s]=[r,0]}switch(e.rotate||0){case 0:[t,a]=[-n,-s];break;case 90:[t,a]=[-\
+s,n];[r,i]=[i,-r];break;case 180:[t,a]=[n,s];[r,i]=[-r,-i];break;case 270:[t,a]=[s,-n];[r,i]=[-i,r]}return[e.x+t+Math.min(0,r),e.y+a+Math.min(0,i),Math.abs(r),Math.abs(i)]}(e);switch(a.layout){case"lr-tb":case"rl-tb":return 0===r?e[Fs]()[ls].noLayoutFailure?""!==e.w?Math.round(n-t.width)<=2:t.width>2:!(""!==e.h&&Math.round(s-t.height)>2)&&(""!==e.w?Math.round(n-t.width)<=2||0===a[ls].numberInLine&&t.height>2:t.width>2):!!e[Fs]()[ls].noLayoutFailure||!(""!==e.h&&Math.round(s-t.height)>2)&&((""===\
+e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2);case"table":case"tb":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||e[js]()?(""===e.w||Math.round(n-t.width)<=2||!a[_s]())&&t.height>2:Math.round(s-t.height)<=2);case"position":if(e[Fs]()[ls].noLayoutFailure)return!0;if(""===e.h||Math.round(s+i-t.height)<=2)return!0;return s+i>e[Fs]()[ls].currentContentArea.h;case"rl-row":case"row":return!!e[Fs]()[ls].noLayoutFailure||(""===e.h||Math.round(s-t.height)<=2);default:return!0}}const Go=go.templa\
+te.id,Vo="http://www.w3.org/2000/svg",Ko=/^H(\\d+)$/,Jo=new Set(["image/gif","image/jpeg","image/jpg","image/pjpeg","image/png","image/apng","image/x-png","image/bmp","image/x-ms-bmp","image/tiff","image/tif","application/octet-stream"]),Yo=[[[66,77],"image/bmp"],[[255,216,255],"image/jpeg"],[[73,73,42,0],"image/tiff"],[[77,77,0,42],"image/tiff"],[[71,73,70,56,57,97],"image/gif"],[[137,80,78,71,13,10,26,10],"image/png"]];function getBorderDims(e){if(!e||!e.border)return{w:0,h:0};const t=e.border[\
+ws]();return t?{w:t.widths[0]+t.widths[2]+t.insets[0]+t.insets[2],h:t.widths[1]+t.widths[3]+t.insets[1]+t.insets[3]}:{w:0,h:0}}function hasMargin(e){return e.margin&&(e.margin.topInset||e.margin.rightInset||e.margin.bottomInset||e.margin.leftInset)}function _setValue(e,t){if(!e.value){const t=new Value({});e[Qn](t);e.value=t}e.value[io](t)}function*getContainedChildren(e){for(const t of e[Ss]())t instanceof SubformSet?yield*t[As]():yield t}function isRequired(e){return"error"===e.validate?.nullT\
+est}function setTabIndex(e){for(;e;){if(!e.traversal){e[no]=e[vs]()[no];return}if(e[no])return;let t=null;for(const a of e.traversal[Ss]())if("next"===a.operation){t=a;break}if(!t||!t.ref){e[no]=e[vs]()[no];return}const a=e[Fs]();e[no]=++a[no];const r=a[to](t.ref,e);if(!r)return;e=r[0]}}function applyAssist(e,t){const a=e.assist;if(a){const e=a[co]();e&&(t.title=e);const r=a.role.match(Ko);if(r){const e="heading",a=r[1];t.role=e;t["aria-level"]=a}}if("table"===e.layout)t.role="table";else if("ro\
+w"===e.layout)t.role="row";else{const a=e[vs]();"row"===a.layout&&(t.role="TH"===a.assist?.role?"columnheader":"cell")}}function ariaLabel(e){if(!e.assist)return null;const t=e.assist;return t.speak&&""!==t.speak[ss]?t.speak[ss]:t.toolTip?t.toolTip[ss]:null}function valueToHtml(e){return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:Object.create(null)},children:[{name:"span",attributes:{style:Object.create(null)},value:e}]})}function setFirstUnsplittable(e){const t=e[Fs]();\
+if(null===t[ls].firstUnsplittable){t[ls].firstUnsplittable=e;t[ls].noLayoutFailure=!0}}function unsetFirstUnsplittable(e){const t=e[Fs]();t[ls].firstUnsplittable===e&&(t[ls].noLayoutFailure=!1)}function handleBreak(e){if(e[ls])return!1;e[ls]=Object.create(null);if("auto"===e.targetType)return!1;const t=e[Fs]();let a=null;if(e.target){a=t[to](e.target,e[vs]());if(!a)return!1;a=a[0]}const{currentPageArea:r,currentContentArea:i}=t[ls];if("pageArea"===e.targetType){a instanceof PageArea||(a=null);if\
+(e.startNew){e[ls].target=a||r;return!0}if(a&&a!==r){e[ls].target=a;return!0}return!1}a instanceof ContentArea||(a=null);const n=a&&a[vs]();let s,o=n;if(e.startNew)if(a){const e=n.contentArea.children,t=e.indexOf(i),r=e.indexOf(a);-1!==t&&t<r&&(o=null);s=r-1}else s=r.contentArea.children.indexOf(i);else{if(!a||a===i)return!1;s=n.contentArea.children.indexOf(a)-1;o=n===r?null:n}e[ls].target=o;e[ls].index=s;return!0}function handleOverflow(e,t,a){const r=e[Fs](),i=r[ls].noLayoutFailure,n=t[Cs];t[C\
+s]=()=>e;r[ls].noLayoutFailure=!0;const s=t[co](a);e[Zn](s.html,s.bbox);r[ls].noLayoutFailure=i;t[Cs]=n}class AppearanceFilter extends StringObject{constructor(e){super(Go,"appearanceFilter");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Arc extends XFAObject{constructor(e){super(Go,"arc",!0);this.circular=getInteger({data:e.circular,defaultValue:0,validate:e=>1===e});this.hand=getStringOption(e.hand,["even","left"\
+,"right"]);this.id=e.id||"";this.startAngle=getFloat({data:e.startAngle,defaultValue:0,validate:e=>!0});this.sweepAngle=getFloat({data:e.sweepAngle,defaultValue:360,validate:e=>!0});this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null;this.fill=null}[co](){const e=this.edge||new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;\
+let r;const i={xmlns:Vo,style:{width:"100%",height:"100%",overflow:"visible"}};if(360===this.sweepAngle)r={name:"ellipse",attributes:{xmlns:Vo,cx:"50%",cy:"50%",rx:"50%",ry:"50%",style:a}};else{const e=this.startAngle*Math.PI/180,t=this.sweepAngle*Math.PI/180,n=this.sweepAngle>180?1:0,[s,o,c,l]=[50*(1+Math.cos(e)),50*(1-Math.sin(e)),50*(1+Math.cos(e+t)),50*(1-Math.sin(e+t))];r={name:"path",attributes:{xmlns:Vo,d:`M ${s} ${o} A 50 50 0 ${n} 0 ${c} ${l}`,vectorEffect:"non-scaling-stroke",style:a}}\
+;Object.assign(i,{viewBox:"0 0 100 100",preserveAspectRatio:"none"})}const n={name:"svg",children:[r],attributes:i};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[n]});n.attributes.style.position="absolute";return HTMLResult.success(n)}}class Area extends XFAObject{constructor(e){super(Go,"area",!0);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.id=e.id||"";thi\
+s.name=e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null;this.area=new XFAObjectArray;this.draw=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Us](){return!0}[Rs](){return!0}[Zn](\
+e,t){const[a,r,i,n]=t;this[ls].width=Math.max(this[ls].width,a+i);this[ls].height=Math.max(this[ls].height,r+n);this[ls].children.push(e)}[gs](){return this[ls].availableSpace}[co](e){const t=toStyle(this,"position"),a={style:t,id:this[uo],class:["xfaArea"]};isPrintOnly(this)&&a.class.push("xfaPrintOnly");this.name&&(a.xfaName=this.name);const r=[];this[ls]={children:r,width:0,height:0,availableSpace:e};const i=this[es]({filter:new Set(["area","draw","field","exclGroup","subform","subformSet"]),\
+include:!0});if(!i.success){if(i.isBreak())return i;delete this[ls];return HTMLResult.FAILURE}t.width=measureToString(this[ls].width);t.height=measureToString(this[ls].height);const n={name:"div",attributes:a,children:r},s=[this.x,this.y,this[ls].width,this[ls].height];delete this[ls];return HTMLResult.success(n,s)}}class Assist extends XFAObject{constructor(e){super(Go,"assist",!0);this.id=e.id||"";this.role=e.role||"";this.use=e.use||"";this.usehref=e.usehref||"";this.speak=null;this.toolTip=n\
+ull}[co](){return this.toolTip?.[ss]||null}}class Barcode extends XFAObject{constructor(e){super(Go,"barcode",!0);this.charEncoding=getKeyword({data:e.charEncoding?e.charEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.checksum=getStringOption(e.checksum,["none","1mod10","1mod10_1mod11","2mod10","auto"]);this.dataColumnCount=getInteger({\
+data:e.dataColumnCount,defaultValue:-1,validate:e=>e>=0});this.dataLength=getInteger({data:e.dataLength,defaultValue:-1,validate:e=>e>=0});this.dataPrep=getStringOption(e.dataPrep,["none","flateCompress"]);this.dataRowCount=getInteger({data:e.dataRowCount,defaultValue:-1,validate:e=>e>=0});this.endChar=e.endChar||"";this.errorCorrectionLevel=getInteger({data:e.errorCorrectionLevel,defaultValue:-1,validate:e=>e>=0&&e<=8});this.id=e.id||"";this.moduleHeight=getMeasurement(e.moduleHeight,"5mm");thi\
+s.moduleWidth=getMeasurement(e.moduleWidth,"0.25mm");this.printCheckDigit=getInteger({data:e.printCheckDigit,defaultValue:0,validate:e=>1===e});this.rowColumnRatio=getRatio(e.rowColumnRatio);this.startChar=e.startChar||"";this.textLocation=getStringOption(e.textLocation,["below","above","aboveEmbedded","belowEmbedded","none"]);this.truncate=getInteger({data:e.truncate,defaultValue:0,validate:e=>1===e});this.type=getStringOption(e.type?e.type.toLowerCase():"",["aztec","codabar","code2of5industria\
+l","code2of5interleaved","code2of5matrix","code2of5standard","code3of9","code3of9extended","code11","code49","code93","code128","code128a","code128b","code128c","code128sscc","datamatrix","ean8","ean8add2","ean8add5","ean13","ean13add2","ean13add5","ean13pwcd","fim","logmars","maxicode","msi","pdf417","pdf417macro","plessey","postauscust2","postauscust3","postausreplypaid","postausstandard","postukrm4scc","postusdpbc","postusimb","postusstandard","postus5zip","qrcode","rfid","rss14","rss14expand\
+ed","rss14limited","rss14stacked","rss14stackedomni","rss14truncated","telepen","ucc128","ucc128random","ucc128sscc","upca","upcaadd2","upcaadd5","upcapwcd","upce","upceadd2","upceadd5","upcean2","upcean5","upsmaxicode"]);this.upsMode=getStringOption(e.upsMode,["usCarrier","internationalCarrier","secureSymbol","standardSymbol"]);this.use=e.use||"";this.usehref=e.usehref||"";this.wideNarrowRatio=getRatio(e.wideNarrowRatio);this.encrypt=null;this.extras=null}}class Bind extends XFAObject{construct\
+or(e){super(Go,"bind",!0);this.match=getStringOption(e.match,["once","dataRef","global","none"]);this.ref=e.ref||"";this.picture=null}}class BindItems extends XFAObject{constructor(e){super(Go,"bindItems");this.connection=e.connection||"";this.labelRef=e.labelRef||"";this.ref=e.ref||"";this.valueRef=e.valueRef||""}}class Bookend extends XFAObject{constructor(e){super(Go,"bookend");this.id=e.id||"";this.leader=e.leader||"";this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}}\
+class BooleanElement extends Option01{constructor(e){super(Go,"boolean");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[co](e){return valueToHtml(1===this[ss]?"1":"0")}}class Border extends XFAObject{constructor(e){super(Go,"border",!0);this.break=getStringOption(e.break,["close","open"]);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.releva\
+nt=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.extras=null;this.fill=null;this.margin=null}[ws](){if(!this[ls]){const e=this.edge.children.slice();if(e.length<4){const t=e.at(-1)||new Edge({});for(let a=e.length;a<4;a++)e.push(t)}const t=e.map((e=>e.thickness)),a=[0,0,0,0];if(this.margin){a[0]=this.margin.topInset;a[1]=this.margin.rightInset;a[2]=this.margin.bottomInset;a[3]=this.margin.leftInset}thi\
+s[ls]={widths:t,insets:a,edges:e}}return this[ls]}[ho](){const{edges:e}=this[ws](),t=e.map((e=>{const t=e[ho]();t.color||="#000000";return t})),a=Object.create(null);this.margin&&Object.assign(a,this.margin[ho]());"visible"===this.fill?.presence&&Object.assign(a,this.fill[ho]());if(this.corner.children.some((e=>0!==e.radius))){const e=this.corner.children.map((e=>e[ho]()));if(2===e.length||3===e.length){const t=e.at(-1);for(let a=e.length;a<4;a++)e.push(t)}a.borderRadius=e.map((e=>e.radius)).joi\
+n(" ")}switch(this.presence){case"invisible":case"hidden":a.borderStyle="";break;case"inactive":a.borderStyle="none";break;default:a.borderStyle=t.map((e=>e.style)).join(" ")}a.borderWidth=t.map((e=>e.width)).join(" ");a.borderColor=t.map((e=>e.color)).join(" ");return a}}class Break extends XFAObject{constructor(e){super(Go,"break",!0);this.after=getStringOption(e.after,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.afterTarget=e.afterTarget||"";this.before=getStringOption(e.befor\
+e,["auto","contentArea","pageArea","pageEven","pageOdd"]);this.beforeTarget=e.beforeTarget||"";this.bookendLeader=e.bookendLeader||"";this.bookendTrailer=e.bookendTrailer||"";this.id=e.id||"";this.overflowLeader=e.overflowLeader||"";this.overflowTarget=e.overflowTarget||"";this.overflowTrailer=e.overflowTrailer||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class BreakAfter extends XFAObject{constru\
+ctor(e){super(Go,"breakAfter",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}}class BreakBefore extends XFAObject{constructor(e){super(Go,"breakBefore",!0);this.id=e.id||"";this.leader=e.leader||"";this.startNew=getInteger({data:\
+e.startNew,defaultValue:0,validate:e=>1===e});this.target=e.target||"";this.targetType=getStringOption(e.targetType,["auto","contentArea","pageArea"]);this.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||"";this.script=null}[co](e){this[ls]={};return HTMLResult.FAILURE}}class Button extends XFAObject{constructor(e){super(Go,"button",!0);this.highlight=getStringOption(e.highlight,["inverted","none","outline","push"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";\
+this.extras=null}[co](e){const t=this[vs]()[vs](),a={name:"button",attributes:{id:this[uo],class:["xfaButton"],style:{}},children:[]};for(const e of t.event.children){if("click"!==e.activity||!e.script)continue;const t=recoverJsURL(e.script[ss]);if(!t)continue;const r=fixURL(t.url);r&&a.children.push({name:"a",attributes:{id:"link"+this[uo],href:r,newWindow:t.newWindow,class:["xfaLink"],style:{}},children:[]})}return HTMLResult.success(a)}}class Calculate extends XFAObject{constructor(e){super(G\
+o,"calculate",!0);this.id=e.id||"";this.override=getStringOption(e.override,["disabled","error","ignore","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.script=null}}class Caption extends XFAObject{constructor(e){super(Go,"caption",!0);this.id=e.id||"";this.placement=getStringOption(e.placement,["left","bottom","inline","right","top"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.reserve=Math.ceil(get\
+Measurement(e.reserve));this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.font=null;this.margin=null;this.para=null;this.value=null}[io](e){_setValue(this,e)}[ws](e){if(!this[ls]){let{width:t,height:a}=e;switch(this.placement){case"left":case"right":case"inline":t=this.reserve<=0?t:this.reserve;break;case"top":case"bottom":a=this.reserve<=0?a:this.reserve}this[ls]=layoutNode(this,{width:t,height:a})}return this[ls]}[co](e){if(!this.value)return HTMLResult.EMPTY;this[Ys]();const\
+ t=this.value[co](e).html;if(!t){this[Js]();return HTMLResult.EMPTY}const a=this.reserve;if(this.reserve<=0){const{w:t,h:a}=this[ws](e);switch(this.placement){case"left":case"right":case"inline":this.reserve=t;break;case"top":case"bottom":this.reserve=a}}const r=[];"string"==typeof t?r.push({name:"#text",value:t}):r.push(t);const i=toStyle(this,"font","margin","visibility");switch(this.placement){case"left":case"right":this.reserve>0&&(i.width=measureToString(this.reserve));break;case"top":case"\
+bottom":this.reserve>0&&(i.height=measureToString(this.reserve))}setPara(this,null,t);this[Js]();this.reserve=a;return HTMLResult.success({name:"div",attributes:{style:i,class:["xfaCaption"]},children:r})}}class Certificate extends StringObject{constructor(e){super(Go,"certificate");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Certificates extends XFAObject{constructor(e){super(Go,"certificates",!0);this.credentialServerPolicy=getStringOption(e.crede\
+ntialServerPolicy,["optional","required"]);this.id=e.id||"";this.url=e.url||"";this.urlPolicy=e.urlPolicy||"";this.use=e.use||"";this.usehref=e.usehref||"";this.encryption=null;this.issuers=null;this.keyUsage=null;this.oids=null;this.signing=null;this.subjectDNs=null}}class CheckButton extends XFAObject{constructor(e){super(Go,"checkButton",!0);this.id=e.id||"";this.mark=getStringOption(e.mark,["default","check","circle","cross","diamond","square","star"]);this.shape=getStringOption(e.shape,["sq\
+uare","round"]);this.size=getMeasurement(e.size,"10pt");this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"margin"),a=measureToString(this.size);t.width=t.height=a;let r,i,n;const s=this[vs]()[vs](),o=s.items.children.length&&s.items.children[0][co]().html||[],c={on:(void 0!==o[0]?o[0]:"on").toString(),off:(void 0!==o[1]?o[1]:"off").toString()},l=(s.value?.[so]()||"off")===c.on||void 0,h=s[Cs](),u=s[uo];let d;if(h instan\
+ceof ExclGroup){n=h[uo];r="radio";i="xfaRadio";d=h[os]?.[uo]||h[uo]}else{r="checkbox";i="xfaCheckbox";d=s[os]?.[uo]||s[uo]}const f={name:"input",attributes:{class:[i],style:t,fieldId:u,dataId:d,type:r,checked:l,xfaOn:c.on,xfaOff:c.off,"aria-label":ariaLabel(s),"aria-required":!1}};n&&(f.attributes.name=n);if(isRequired(s)){f.attributes["aria-required"]=!0;f.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[f]})}}class ChoiceList extends XFAO\
+bject{constructor(e){super(Go,"choiceList",!0);this.commitOn=getStringOption(e.commitOn,["select","exit"]);this.id=e.id||"";this.open=getStringOption(e.open,["userControl","always","multiSelect","onEntry"]);this.textEntry=getInteger({data:e.textEntry,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","margin"),a=this[vs]()[vs](),r={fontSize:`calc(${a.font?.size||10}px * var(--to\
+tal-scale-factor))`},i=[];if(a.items.children.length>0){const e=a.items;let t=0,n=0;if(2===e.children.length){t=e.children[0].save;n=1-t}const s=e.children[t][co]().html,o=e.children[n][co]().html;let c=!1;const l=a.value?.[so]()||"";for(let e=0,t=s.length;e<t;e++){const t={name:"option",attributes:{value:o[e]||s[e],style:r},value:s[e]};o[e]===l&&(t.attributes.selected=c=!0);i.push(t)}c||i.splice(0,0,{name:"option",attributes:{hidden:!0,selected:!0},value:" "})}const n={class:["xfaSelect"],field\
+Id:a[uo],dataId:a[os]?.[uo]||a[uo],style:t,"aria-label":ariaLabel(a),"aria-required":!1};if(isRequired(a)){n["aria-required"]=!0;n.required=!0}"multiSelect"===this.open&&(n.multiple=!0);return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[{name:"select",children:i,attributes:n}]})}}class Color extends XFAObject{constructor(e){super(Go,"color",!0);this.cSpace=getStringOption(e.cSpace,["SRGB"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.value=e\
+.value?function getColor(e,t=[0,0,0]){let[a,r,i]=t;if(!e)return{r:a,g:r,b:i};const n=e.split(",",3).map((e=>MathClamp(parseInt(e.trim(),10),0,255))).map((e=>isNaN(e)?0:e));if(n.length<3)return{r:a,g:r,b:i};[a,r,i]=n;return{r:a,g:r,b:i}}(e.value):"";this.extras=null}[Ts](){return!1}[ho](){return this.value?Util.makeHexColor(this.value.r,this.value.g,this.value.b):null}}class Comb extends XFAObject{constructor(e){super(Go,"comb");this.id=e.id||"";this.numberOfCells=getInteger({data:e.numberOfCells\
+,defaultValue:0,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||""}}class Connect extends XFAObject{constructor(e){super(Go,"connect",!0);this.connection=e.connection||"";this.id=e.id||"";this.ref=e.ref||"";this.usage=getStringOption(e.usage,["exportAndImport","exportOnly","importOnly"]);this.use=e.use||"";this.usehref=e.usehref||"";this.picture=null}}class ContentArea extends XFAObject{constructor(e){super(Go,"contentArea",!0);this.h=getMeasurement(e.h);this.id=e.id||"";this.name=\
+e.name||"";this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=getMeasurement(e.w);this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.desc=null;this.extras=null}[co](e){const t={left:measureToString(this.x),top:measureToString(this.y),width:measureToString(this.w),height:measureToString(this.h)},a=["xfaContentarea"];isPrintOnly(this)&&a.push("xfaPrintOnly");return HTMLResult.success({name:"div",children:[],attributes:{style:t,class:a,id:\
+this[uo]}})}}class Corner extends XFAObject{constructor(e){super(Go,"corner",!0);this.id=e.id||"";this.inverted=getInteger({data:e.inverted,defaultValue:0,validate:e=>1===e});this.join=getStringOption(e.join,["square","round"]);this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.radius=getMeasurement(e.radius);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMea\
+surement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");e.radius=measureToString("square"===this.join?0:this.radius);return e}}class DateElement extends ContentObject{constructor(e){super(Go,"date");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}cl\
+ass DateTime extends ContentObject{constructor(e){super(Go,"dateTime");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class DateTimeEdit extends XFAObject{constructor(e){super(Go,"dateTimeEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.picker=getStringOption(e.picker,["host","none"]);th\
+is.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[\
+r]})}}class Decimal extends ContentObject{constructor(e){super(Go,"decimal");this.fracDigits=getInteger({data:e.fracDigits,defaultValue:2,validate:e=>!0});this.id=e.id||"";this.leadDigits=getInteger({data:e.leadDigits,defaultValue:-1,validate:e=>!0});this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class DefaultUi extends XFAObject{constructor(\
+e){super(Go,"defaultUi",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class Desc extends XFAObject{constructor(e){super(Go,"desc",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new X\
+FAObjectArray;this.time=new XFAObjectArray}}class DigestMethod extends OptionObject{constructor(e){super(Go,"digestMethod",["","SHA1","SHA256","SHA512","RIPEMD160"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class DigestMethods extends XFAObject{constructor(e){super(Go,"digestMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.digestMethod=new XFAObjectArray}}class Draw extends XFAObject{\
+constructor(e){super(Go,"draw",!0);this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.max\
+W=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bor\
+der=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.value=null;this.setProperty=new XFAObjectArray}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;fixDimensions(this);this[Ys]();const t=this.w,a=this.h,{w:r,h:i,isBroken:n}=layoutNode(this,e);if(r&&""===this.w){if(n&&this[Cs]()[_s]()){this[Js]();return HTMLRe\
+sult.FAILURE}this.w=r}i&&""===this.h&&(this.h=i);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=t;this.h=a;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const s=toStyle(this,"font","hAlign","dimensions","position","presence","rotate","anchorType","border","margin");setMinMaxDimensions(this,s);if(s.margin){s.padding=s.margin;delete s.margin}const o=["xfaDraw"];this.font&&o.push("xfaFont");isPrintOnly(this)&&o.push("xfaPrintOnly");const c={style:s,id:this[uo],cl\
+ass:o};this.name&&(c.xfaName=this.name);const l={name:"div",attributes:c,children:[]};applyAssist(this,c);const h=computeBbox(this,l,e),u=this.value?this.value[co](e).html:null;if(null===u){this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}l.children.push(u);setPara(this,s,u);this.w=t;this.h=a;this[Js]();return HTMLResult.success(createWrapper(this,l),h)}}class Edge extends XFAObject{constructor(e){super(Go,"edge",!0);this.cap=getStringOption(e.cap,["square","butt",\
+"round"]);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.stroke=getStringOption(e.stroke,["solid","dashDot","dashDotDot","dashed","dotted","embossed","etched","lowered","raised"]);this.thickness=getMeasurement(e.thickness,"0.5pt");this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](){const e=toStyle(this,"visibility");Object.assign(e,{linecap:this.cap,width:measureToString(this.thickness),color:this.colo\
+r?this.color[ho]():"#000000",style:""});if("visible"!==this.presence)e.style="none";else switch(this.stroke){case"solid":e.style="solid";break;case"dashDot":case"dashDotDot":case"dashed":e.style="dashed";break;case"dotted":e.style="dotted";break;case"embossed":e.style="ridge";break;case"etched":e.style="groove";break;case"lowered":e.style="inset";break;case"raised":e.style="outset"}return e}}class Encoding extends OptionObject{constructor(e){super(Go,"encoding",["adbe.x509.rsa_sha1","adbe.pkcs7.\
+detached","adbe.pkcs7.sha1"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Encodings extends XFAObject{constructor(e){super(Go,"encodings",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encoding=new XFAObjectArray}}class Encrypt extends XFAObject{constructor(e){super(Go,"encrypt",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=null}}class EncryptData ext\
+ends XFAObject{constructor(e){super(Go,"encryptData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["encrypt","decrypt"]);this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Encryption extends XFAObject{constructor(e){super(Go,"encryption",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class EncryptionMe\
+thod extends OptionObject{constructor(e){super(Go,"encryptionMethod",["","AES256-CBC","TRIPLEDES-CBC","AES128-CBC","AES192-CBC"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EncryptionMethods extends XFAObject{constructor(e){super(Go,"encryptionMethods",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.encryptionMethod=new XFAObjectArray}}class Event extends XFAObject{constructor(e){super(Go\
+,"event",!0);this.activity=getStringOption(e.activity,["click","change","docClose","docReady","enter","exit","full","indexChange","initialize","mouseDown","mouseEnter","mouseExit","mouseUp","postExecute","postOpen","postPrint","postSave","postSign","postSubmit","preExecute","preOpen","prePrint","preSave","preSign","preSubmit","ready","validationState"]);this.id=e.id||"";this.listen=getStringOption(e.listen,["refOnly","refAndDescendents"]);this.name=e.name||"";this.ref=e.ref||"";this.use=e.use||"\
+";this.usehref=e.usehref||"";this.extras=null;this.encryptData=null;this.execute=null;this.script=null;this.signData=null;this.submit=null}}class ExData extends ContentObject{constructor(e){super(Go,"exData");this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.maxLength=getInteger({data:e.maxLength,defaultValue:-1,validate:e=>e>=-1});this.name=e.name||"";this.rid=e.rid||"";this.transferEncoding=getStringOption(e.transferEncoding,["none","base64","package"]);this.use=e.u\
+se||"";this.usehref=e.usehref||""}[Bs](){return"text/html"===this.contentType}[$s](e){if("text/html"===this.contentType&&e[Hs]===go.xhtml.id){this[ss]=e;return!0}if("text/xml"===this.contentType){this[ss]=e;return!0}return!1}[co](e){return"text/html"===this.contentType&&this[ss]?this[ss][co](e):HTMLResult.EMPTY}}class ExObject extends XFAObject{constructor(e){super(Go,"exObject",!0);this.archive=e.archive||"";this.classId=e.classId||"";this.codeBase=e.codeBase||"";this.codeType=e.codeType||"";th\
+is.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class ExclGroup extends XFAObject{constructor(e){super(Go,"e\
+xclGroup",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","r\
+ight"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):""\
+;this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.margin=null;this.para=null;this.traversal=null;this.validate=null;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.field=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[Ts](){return!0}[io](e){for(const t of this.field.children){if(!t.value){const e=new Value({});t[Qn\
+](e);t.value=e}t.value[io](e)}}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[g\
+s](){return getAvailableSpace(this)}[co](e){setTabIndex(this);if("hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,attributes:a,attempt:0,line:null,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});co\
+nst r=this[js]();r||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const i=new Set(["field"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const n=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),s=["xfaExclgroup"],o=layoutClass(this);o&&s.push(o);isPrintOnly(this)&&s.push("xfaPrintOnly");a.style=n;a.class=s;this.name&&(a.\
+xfaName=this.name);this[Ys]();const c="lr-tb"===this.layout||"rl-tb"===this.layout,l=c?2:1;for(;this[ls].attempt<l;this[ls].attempt++){c&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:i,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}if(c&&0===this[ls].attempt&&0===this[ls].numberInLine&&!this[Fs]()[ls].noLayoutFailure){this[ls].attempt=l;break}}this[Js]();r||unsetFirstUnsplittable(this);if(this[ls].attempt===l){r||delete this[ls];return HTMLResult.\
+FAILURE}let h=0,u=0;if(this.margin){h=this.margin.leftInset+this.margin.rightInset;u=this.margin.topInset+this.margin.bottomInset}const d=Math.max(this[ls].width+h,this.w||0),f=Math.max(this[ls].height+u,this.h||0),g=[this.x,this.y,d,f];""===this.w&&(n.width=measureToString(d));""===this.h&&(n.height=measureToString(f));const p={name:"div",attributes:a,children:t};applyAssist(this,a);delete this[ls];return HTMLResult.success(createWrapper(this,p),g)}}class Execute extends XFAObject{constructor(e\
+){super(Go,"execute");this.connection=e.connection||"";this.executeType=getStringOption(e.executeType,["import","remerge"]);this.id=e.id||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Extras extends XFAObject{constructor(e){super(Go,"extras",!0);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;thi\
+s.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.extras=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}}class Field extends XFAObject{constructor(e){super(Go,"field",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.accessKey=e.accessKey||"";this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bo\
+ttomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSpan,defaultValue:1,validate:e=>e>=1||-1===e});this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");\
+this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.rotate=getInteger({data:e.rotate,defaultValue:0,validate:e=>e%90==0});this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMeasurement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.border=null;this.calculate=null;this.caption=null;this.desc=null;this.extras=null;this.font=null;\
+this.format=null;this.items=new XFAObjectArray(2);this.keep=null;this.margin=null;this.para=null;this.traversal=null;this.ui=null;this.validate=null;this.value=null;this.bindItems=new XFAObjectArray;this.connect=new XFAObjectArray;this.event=new XFAObjectArray;this.setProperty=new XFAObjectArray}[Rs](){return!0}[io](e){_setValue(this,e)}[co](e){setTabIndex(this);if(!this.ui){this.ui=new Ui({});this.ui[Is]=this[Is];this[Qn](this.ui);let e;switch(this.items.children.length){case 0:e=new TextEdit({\
+});this.ui.textEdit=e;break;case 1:e=new CheckButton({});this.ui.checkButton=e;break;case 2:e=new ChoiceList({});this.ui.choiceList=e}this.ui[Qn](e)}if(!this.ui||"hidden"===this.presence||"inactive"===this.presence||0===this.h||0===this.w)return HTMLResult.EMPTY;this.caption&&delete this.caption[ls];this[Ys]();const t=this.caption?this.caption[co](e).html:null,a=this.w,r=this.h;let i=0,n=0;if(this.margin){i=this.margin.leftInset+this.margin.rightInset;n=this.margin.topInset+this.margin.bottomIns\
+et}let s=null;if(""===this.w||""===this.h){let t=null,a=null,r=0,o=0;if(this.ui.checkButton)r=o=this.ui.checkButton.size;else{const{w:t,h:a}=layoutNode(this,e);if(null!==t){r=t;o=a}else o=function fonts_getMetrics(e,t=!1){let a=null;if(e){const t=stripQuotes(e.typeface),r=e[Is].fontFinder.find(t);a=selectFont(e,r)}if(!a)return{lineHeight:12,lineGap:2,lineNoGap:10};const r=e.size||10,i=a.lineHeight?Math.max(t?0:1.2,a.lineHeight):1.2,n=void 0===a.lineGap?.2:a.lineGap;return{lineHeight:i*r,lineGap:\
+n*r,lineNoGap:Math.max(1,i-n)*r}}(this.font,!0).lineNoGap}s=getBorderDims(this.ui[ws]());r+=s.w;o+=s.h;if(this.caption){const{w:i,h:n,isBroken:s}=this.caption[ws](e);if(s&&this[Cs]()[_s]()){this[Js]();return HTMLResult.FAILURE}t=i;a=n;switch(this.caption.placement){case"left":case"right":case"inline":t+=r;break;case"top":case"bottom":a+=o}}else{t=r;a=o}if(t&&""===this.w){t+=i;this.w=Math.min(this.maxW<=0?1/0:this.maxW,this.minW+1<t?t:this.minW)}if(a&&""===this.h){a+=n;this.h=Math.min(this.maxH<=\
+0?1/0:this.maxH,this.minH+1<a?a:this.minH)}}this[Js]();fixDimensions(this);setFirstUnsplittable(this);if(!checkDimensions(this,e)){this.w=a;this.h=r;this[Js]();return HTMLResult.FAILURE}unsetFirstUnsplittable(this);const o=toStyle(this,"font","dimensions","position","rotate","anchorType","presence","margin","hAlign");setMinMaxDimensions(this,o);const c=["xfaField"];this.font&&c.push("xfaFont");isPrintOnly(this)&&c.push("xfaPrintOnly");const l={style:o,id:this[uo],class:c};if(o.margin){o.padding=\
+o.margin;delete o.margin}setAccess(this,c);this.name&&(l.xfaName=this.name);const h=[],u={name:"div",attributes:l,children:h};applyAssist(this,l);const d=this.border?this.border[ho]():null,f=computeBbox(this,u,e),g=this.ui[co]().html;if(!g){Object.assign(o,d);return HTMLResult.success(createWrapper(this,u),f)}this[no]&&(g.children?.[0]?g.children[0].attributes.tabindex=this[no]:g.attributes.tabindex=this[no]);g.attributes.style||=Object.create(null);let p=null;if(this.ui.button){1===g.children.l\
+ength&&([p]=g.children.splice(0,1));Object.assign(g.attributes.style,d)}else Object.assign(o,d);h.push(g);if(this.value)if(this.ui.imageEdit)g.children.push(this.value[co]().html);else if(!this.ui.button){let e="";if(this.value.exData)e=this.value.exData[so]();else if(this.value.text)e=this.value.text[ws]();else{const t=this.value[co]().html;null!==t&&(e=t.children[0].value)}this.ui.textEdit&&this.value.text?.maxChars&&(g.children[0].attributes.maxLength=this.value.text.maxChars);if(e){if(this.u\
+i.numericEdit){e=parseFloat(e);e=isNaN(e)?"":e.toString()}"textarea"===g.children[0].name?g.children[0].attributes.textContent=e:g.children[0].attributes.value=e}}if(!this.ui.imageEdit&&g.children?.[0]&&this.h){s=s||getBorderDims(this.ui[ws]());let t=0;if(this.caption&&["top","bottom"].includes(this.caption.placement)){t=this.caption.reserve;t<=0&&(t=this.caption[ws](e).h);const a=this.h-t-n-s.h;g.children[0].attributes.style.height=measureToString(a)}else g.children[0].attributes.style.height="\
+100%"}p&&g.children.push(p);if(!t){g.attributes.class&&g.attributes.class.push("xfaLeft");this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}if(this.ui.button){o.padding&&delete o.padding;"div"===t.name&&(t.name="span");g.children.push(t);return HTMLResult.success(u,f)}this.ui.checkButton&&(t.attributes.class[0]="xfaCaptionForCheckButton");g.attributes.class||=[];g.children.splice(0,0,t);switch(this.caption.placement){case"left":case"inline":g.attributes.class.push("xfaLeft");b\
+reak;case"right":g.attributes.class.push("xfaRight");break;case"top":g.attributes.class.push("xfaTop");break;case"bottom":g.attributes.class.push("xfaBottom")}this.w=a;this.h=r;return HTMLResult.success(createWrapper(this,u),f)}}class Fill extends XFAObject{constructor(e){super(Go,"fill",!0);this.id=e.id||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null;this.linear=null;this.pat\
+tern=null;this.radial=null;this.solid=null;this.stipple=null}[ho](){const e=this[vs](),t=e[vs]()[vs](),a=Object.create(null);let r="color",i=r;if(e instanceof Border){r="background-color";i="background";t instanceof Ui&&(a.backgroundColor="white")}if(e instanceof Rectangle||e instanceof Arc){r=i="fill";a.fill="white"}for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"color"===e)continue;const t=this[e];if(!(t instanceof XFAObject))continue;const n=t[ho](this.color);n&&(a[n.starts\
+With("#")?r:i]=n);return a}if(this.color?.value){const e=this.color[ho]();a[e.startsWith("#")?r:i]=e}return a}}class Filter extends XFAObject{constructor(e){super(Go,"filter",!0);this.addRevocationInfo=getStringOption(e.addRevocationInfo,["","required","optional","none"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.version=getInteger({data:this.version,defaultValue:5,validate:e=>e>=1&&e<=5});this.appearanceFilter=null;this.certificates=null;this.diges\
+tMethods=null;this.encodings=null;this.encryptionMethods=null;this.handler=null;this.lockDocument=null;this.mdp=null;this.reasons=null;this.timeStamp=null}}class Float extends ContentObject{constructor(e){super(Go,"float");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseFloat(this[ss].trim());this[ss]=isNaN(e)?null:e}[co](e){return valueToHtml(null!==this[ss]?this[ss].toString():"")}}class template_Font extends XFAObject{constructor(e){supe\
+r(Go,"font",!0);this.baselineShift=getMeasurement(e.baselineShift);this.fontHorizontalScale=getFloat({data:e.fontHorizontalScale,defaultValue:100,validate:e=>e>=0});this.fontVerticalScale=getFloat({data:e.fontVerticalScale,defaultValue:100,validate:e=>e>=0});this.id=e.id||"";this.kerningMode=getStringOption(e.kerningMode,["none","pair"]);this.letterSpacing=getMeasurement(e.letterSpacing,"0");this.lineThrough=getInteger({data:e.lineThrough,defaultValue:0,validate:e=>1===e||2===e});this.lineThroug\
+hPeriod=getStringOption(e.lineThroughPeriod,["all","word"]);this.overline=getInteger({data:e.overline,defaultValue:0,validate:e=>1===e||2===e});this.overlinePeriod=getStringOption(e.overlinePeriod,["all","word"]);this.posture=getStringOption(e.posture,["normal","italic"]);this.size=getMeasurement(e.size,"10pt");this.typeface=e.typeface||"Courier";this.underline=getInteger({data:e.underline,defaultValue:0,validate:e=>1===e||2===e});this.underlinePeriod=getStringOption(e.underlinePeriod,["all","wo\
+rd"]);this.use=e.use||"";this.usehref=e.usehref||"";this.weight=getStringOption(e.weight,["normal","bold"]);this.extras=null;this.fill=null}[ts](e){super[ts](e);this[Is].usedTypefaces.add(this.typeface)}[ho](){const e=toStyle(this,"fill"),t=e.color;if(t)if("#000000"===t)delete e.color;else if(!t.startsWith("#")){e.background=t;e.backgroundClip="text";e.color="transparent"}this.baselineShift&&(e.verticalAlign=measureToString(this.baselineShift));e.fontKerning="none"===this.kerningMode?"none":"nor\
+mal";e.letterSpacing=measureToString(this.letterSpacing);if(0!==this.lineThrough){e.textDecoration="line-through";2===this.lineThrough&&(e.textDecorationStyle="double")}if(0!==this.overline){e.textDecoration="overline";2===this.overline&&(e.textDecorationStyle="double")}e.fontStyle=this.posture;e.fontSize=measureToString(.99*this.size);setFontFamily(this,this,this[Is].fontFinder,e);if(0!==this.underline){e.textDecoration="underline";2===this.underline&&(e.textDecorationStyle="double")}e.fontWeig\
+ht=this.weight;return e}}class Format extends XFAObject{constructor(e){super(Go,"format",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null}}class Handler extends StringObject{constructor(e){super(Go,"handler");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Hyphenation extends XFAObject{constructor(e){super(Go,"hyphenation");this.excludeAllCaps=getInteger({data:e.ex\
+cludeAllCaps,defaultValue:0,validate:e=>1===e});this.excludeInitialCap=getInteger({data:e.excludeInitialCap,defaultValue:0,validate:e=>1===e});this.hyphenate=getInteger({data:e.hyphenate,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.pushCharacterCount=getInteger({data:e.pushCharacterCount,defaultValue:3,validate:e=>e>=0});this.remainCharacterCount=getInteger({data:e.remainCharacterCount,defaultValue:3,validate:e=>e>=0});this.use=e.use||"";this.usehref=e.usehref||"";this.wordCharacterC\
+ount=getInteger({data:e.wordCharacterCount,defaultValue:7,validate:e=>e>=0})}}class Image extends StringObject{constructor(e){super(Go,"image");this.aspect=getStringOption(e.aspect,["fit","actual","height","none","width"]);this.contentType=e.contentType||"";this.href=e.href||"";this.id=e.id||"";this.name=e.name||"";this.transferEncoding=getStringOption(e.transferEncoding,["base64","none","package"]);this.use=e.use||"";this.usehref=e.usehref||""}[co](){if(this.contentType&&!Jo.has(this.contentTyp\
+e.toLowerCase()))return HTMLResult.EMPTY;let e=this[Is].images?.get(this.href);if(!e&&(this.href||!this[ss]))return HTMLResult.EMPTY;e||"base64"!==this.transferEncoding||(e=function fromBase64Util(e){return Uint8Array.fromBase64?Uint8Array.fromBase64(e):stringToBytes(atob(e))}(this[ss]));if(!e)return HTMLResult.EMPTY;if(!this.contentType){for(const[t,a]of Yo)if(e.length>t.length&&t.every(((t,a)=>t===e[a]))){this.contentType=a;break}if(!this.contentType)return HTMLResult.EMPTY}const t=new Blob([e\
+],{type:this.contentType});let a;switch(this.aspect){case"fit":case"actual":break;case"height":a={height:"100%",objectFit:"fill"};break;case"none":a={width:"100%",height:"100%",objectFit:"fill"};break;case"width":a={width:"100%",objectFit:"fill"}}const r=this[vs]();return HTMLResult.success({name:"img",attributes:{class:["xfaImage"],style:a,src:URL.createObjectURL(t),alt:r?ariaLabel(r[vs]()):null}})}}class ImageEdit extends XFAObject{constructor(e){super(Go,"imageEdit",!0);this.data=getStringOpt\
+ion(e.data,["link","embed"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}[co](e){return"embed"===this.data?HTMLResult.success({name:"div",children:[],attributes:{}}):HTMLResult.EMPTY}}class Integer extends ContentObject{constructor(e){super(Go,"integer");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=parseInt(this[ss].trim(),10);this[ss]=isNaN(e)?null:e}[co](e){return valueTo\
+Html(null!==this[ss]?this[ss].toString():"")}}class Issuers extends XFAObject{constructor(e){super(Go,"issuers",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Items extends XFAObject{constructor(e){super(Go,"items",!0);this.id=e.id||"";this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.ref=e.ref||"";this.save=getInte\
+ger({data:e.save,defaultValue:0,validate:e=>1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[co](){const e=[];for(const t of this[Ss]())e.push(t[so]());return HTMLResult.success(e)}}class\
+ Keep extends XFAObject{constructor(e){super(Go,"keep",!0);this.id=e.id||"";const t=["none","contentArea","pageArea"];this.intact=getStringOption(e.intact,t);this.next=getStringOption(e.next,t);this.previous=getStringOption(e.previous,t);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}}class KeyUsage extends XFAObject{constructor(e){super(Go,"keyUsage");const t=["","yes","no"];this.crlSign=getStringOption(e.crlSign,t);this.dataEncipherment=getStringOption(e.dataEncipherment,t);thi\
+s.decipherOnly=getStringOption(e.decipherOnly,t);this.digitalSignature=getStringOption(e.digitalSignature,t);this.encipherOnly=getStringOption(e.encipherOnly,t);this.id=e.id||"";this.keyAgreement=getStringOption(e.keyAgreement,t);this.keyCertSign=getStringOption(e.keyCertSign,t);this.keyEncipherment=getStringOption(e.keyEncipherment,t);this.nonRepudiation=getStringOption(e.nonRepudiation,t);this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}c\
+lass Line extends XFAObject{constructor(e){super(Go,"line",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.slope=getStringOption(e.slope,["\\\\","/"]);this.use=e.use||"";this.usehref=e.usehref||"";this.edge=null}[co](){const e=this[vs]()[vs](),t=this.edge||new Edge({}),a=t[ho](),r=Object.create(null),i="visible"===t.presence?t.thickness:0;r.strokeWidth=measureToString(i);r.stroke=a.color;let n,s,o,c,l="100%",h="100%";if(e.w<=i){[n,s,o,c]=["50%",0,"50%","100%"];l\
+=r.strokeWidth}else if(e.h<=i){[n,s,o,c]=[0,"50%","100%","50%"];h=r.strokeWidth}else"\\\\"===this.slope?[n,s,o,c]=[0,0,"100%","100%"]:[n,s,o,c]=[0,"100%","100%",0];const u={name:"svg",children:[{name:"line",attributes:{xmlns:Vo,x1:n,y1:s,x2:o,y2:c,style:r}}],attributes:{xmlns:Vo,width:l,height:h,style:{overflow:"visible"}}};if(hasMargin(e))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[u]});u.attributes.style.position="absolute";ret\
+urn HTMLResult.success(u)}}class Linear extends XFAObject{constructor(e){super(Go,"linear",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toRight","toBottom","toLeft","toTop"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";return`linear-gradient(${this.type.replace(/([RBLT])/," $1").toLowerCase()}, ${e}, ${this.color?this.color[ho]():"#000000"})`}}class LockDocument extends ContentObject{constructor(e){super(Go,"lockDocument\
+");this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=getStringOption(this[ss],["auto","0","1"])}}class Manifest extends XFAObject{constructor(e){super(Go,"manifest",!0);this.action=getStringOption(e.action,["include","all","exclude"]);this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.ref=new XFAObjectArray}}class Margin extends XFAObject{constructor(e){su\
+per(Go,"margin",!0);this.bottomInset=getMeasurement(e.bottomInset,"0");this.id=e.id||"";this.leftInset=getMeasurement(e.leftInset,"0");this.rightInset=getMeasurement(e.rightInset,"0");this.topInset=getMeasurement(e.topInset,"0");this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](){return{margin:measureToString(this.topInset)+" "+measureToString(this.rightInset)+" "+measureToString(this.bottomInset)+" "+measureToString(this.leftInset)}}}class Mdp extends XFAObject{constructor(e){\
+super(Go,"mdp");this.id=e.id||"";this.permissions=getInteger({data:e.permissions,defaultValue:2,validate:e=>1===e||3===e});this.signatureType=getStringOption(e.signatureType,["filler","author"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Medium extends XFAObject{constructor(e){super(Go,"medium");this.id=e.id||"";this.imagingBBox=function getBBox(e){const t=-1;if(!e)return{x:t,y:t,width:t,height:t};const a=e.split(",",4).map((e=>getMeasurement(e.trim(),"-1")));if(a.length<4||a[2]<0||a[3\
+]<0)return{x:t,y:t,width:t,height:t};const[r,i,n,s]=a;return{x:r,y:i,width:n,height:s}}(e.imagingBBox);this.long=getMeasurement(e.long);this.orientation=getStringOption(e.orientation,["portrait","landscape"]);this.short=getMeasurement(e.short);this.stock=e.stock||"";this.trayIn=getStringOption(e.trayIn,["auto","delegate","pageFront"]);this.trayOut=getStringOption(e.trayOut,["auto","delegate"]);this.use=e.use||"";this.usehref=e.usehref||""}}class Message extends XFAObject{constructor(e){super(Go,\
+"message",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.text=new XFAObjectArray}}class NumericEdit extends XFAObject{constructor(e){super(Go,"numericEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin"),a=this[vs]()[vs](),r={name:"input",attributes:{type:"text",\
+fieldId:a[uo],dataId:a[os]?.[uo]||a[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(a),"aria-required":!1}};if(isRequired(a)){r.attributes["aria-required"]=!0;r.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[r]})}}class Occur extends XFAObject{constructor(e){super(Go,"occur",!0);this.id=e.id||"";this.initial=""!==e.initial?getInteger({data:e.initial,defaultValue:"",validate:e=>!0}):"";this.max=""!==e.max?getInteger({data:e.max,d\
+efaultValue:1,validate:e=>!0}):"";this.min=""!==e.min?getInteger({data:e.min,defaultValue:1,validate:e=>!0}):"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ts](){const e=this[vs](),t=this.min;""===this.min&&(this.min=e instanceof PageArea||e instanceof PageSet?0:1);""===this.max&&(this.max=""===t?e instanceof PageArea||e instanceof PageSet?-1:1:this.min);-1!==this.max&&this.max<this.min&&(this.max=this.min);""===this.initial&&(this.initial=e instanceof Template?1:this.min)}}c\
+lass Oid extends StringObject{constructor(e){super(Go,"oid");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Oids extends XFAObject{constructor(e){super(Go,"oids",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.oid=new XFAObjectArray}}class Overflow extends XFAObject{constructor(e){super(Go,"overflow");this.id=e.id||"";this.leader=e.leader||"";this.target=e.target||"";this\
+.trailer=e.trailer||"";this.use=e.use||"";this.usehref=e.usehref||""}[ws](){if(!this[ls]){const e=this[vs](),t=this[Fs](),a=t[to](this.target,e),r=t[to](this.leader,e),i=t[to](this.trailer,e);this[ls]={target:a?.[0]||null,leader:r?.[0]||null,trailer:i?.[0]||null,addLeader:!1,addTrailer:!1}}return this[ls]}}class PageArea extends XFAObject{constructor(e){super(Go,"pageArea",!0);this.blankOrNotBlank=getStringOption(e.blankOrNotBlank,["any","blank","notBlank"]);this.id=e.id||"";this.initialNumber=g\
+etInteger({data:e.initialNumber,defaultValue:1,validate:e=>!0});this.name=e.name||"";this.numbered=getInteger({data:e.numbered,defaultValue:1,validate:e=>!0});this.oddOrEven=getStringOption(e.oddOrEven,["any","even","odd"]);this.pagePosition=getStringOption(e.pagePosition,["any","first","last","only","rest"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.desc=null;this.extras=null;this.medium=null;this.occur=null;this.area=new XFAObjectArray;this.conten\
+tArea=new XFAObjectArray;this.draw=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.subform=new XFAObjectArray}[Xs](){if(!this[ls]){this[ls]={numberOfUse:0};return!0}return!this.occur||-1===this.occur.max||this[ls].numberOfUse<this.occur.max}[as](){delete this[ls]}[ks](){this[ls]||={numberOfUse:0};const e=this[vs]();if("orderedOccurrence"===e.relation&&this[Xs]()){this[ls].numberOfUse+=1;return this}return e[ks]()}[gs](){return this[ls].space||{width:0,heig\
+ht:0}}[co](){this[ls]||={numberOfUse:1};const e=[];this[ls].children=e;const t=Object.create(null);if(this.medium&&this.medium.short&&this.medium.long){t.width=measureToString(this.medium.short);t.height=measureToString(this.medium.long);this[ls].space={width:this.medium.short,height:this.medium.long};if("landscape"===this.medium.orientation){const e=t.width;t.width=t.height;t.height=e;this[ls].space={width:this.medium.long,height:this.medium.short}}}else warn("XFA - No medium specified in pageA\
+rea: please file a bug.");this[es]({filter:new Set(["area","draw","field","subform"]),include:!0});this[es]({filter:new Set(["contentArea"]),include:!0});return HTMLResult.success({name:"div",children:e,attributes:{class:["xfaPage"],id:this[uo],style:t,xfaName:this.name}})}}class PageSet extends XFAObject{constructor(e){super(Go,"pageSet",!0);this.duplexImposition=getStringOption(e.duplexImposition,["longEdge","shortEdge"]);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.re\
+lation,["orderedOccurrence","duplexPaginated","simplexPaginated"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.occur=null;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray}[as](){for(const e of this.pageArea.children)e[as]();for(const e of this.pageSet.children)e[as]()}[Xs](){return!this.occur||-1===this.occur.max||this[ls].numberOfUse<this.occur.max}[ks](){this[ls]||={numberOfUse:1,pageIndex:-1,pageSetIndex:-1};if("ord\
+eredOccurrence"===this.relation){if(this[ls].pageIndex+1<this.pageArea.children.length){this[ls].pageIndex+=1;return this.pageArea.children[this[ls].pageIndex][ks]()}if(this[ls].pageSetIndex+1<this.pageSet.children.length){this[ls].pageSetIndex+=1;return this.pageSet.children[this[ls].pageSetIndex][ks]()}if(this[Xs]()){this[ls].numberOfUse+=1;this[ls].pageIndex=-1;this[ls].pageSetIndex=-1;return this[ks]()}const e=this[vs]();if(e instanceof PageSet)return e[ks]();this[as]();return this[ks]()}con\
+st e=this[Fs]()[ls].pageNumber,t=e%2==0?"even":"odd",a=0===e?"first":"rest";let r=this.pageArea.children.find((e=>e.oddOrEven===t&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&e.pagePosition===a));if(r)return r;r=this.pageArea.children.find((e=>"any"===e.oddOrEven&&"any"===e.pagePosition));return r||this.pageArea.children[0]}}class Para extends XFAObject{constructor(e){super(Go,"para",!0);this.hAlign=getStringOption(e.hAlign,["left","center","justify"\
+,"justifyAll","radix","right"]);this.id=e.id||"";this.lineHeight=e.lineHeight?getMeasurement(e.lineHeight,"0pt"):"";this.marginLeft=e.marginLeft?getMeasurement(e.marginLeft,"0pt"):"";this.marginRight=e.marginRight?getMeasurement(e.marginRight,"0pt"):"";this.orphans=getInteger({data:e.orphans,defaultValue:0,validate:e=>e>=0});this.preserve=e.preserve||"";this.radixOffset=e.radixOffset?getMeasurement(e.radixOffset,"0pt"):"";this.spaceAbove=e.spaceAbove?getMeasurement(e.spaceAbove,"0pt"):"";this.sp\
+aceBelow=e.spaceBelow?getMeasurement(e.spaceBelow,"0pt"):"";this.tabDefault=e.tabDefault?getMeasurement(this.tabDefault):"";this.tabStops=(e.tabStops||"").trim().split(/\\s+/).map(((e,t)=>t%2==1?getMeasurement(e):e));this.textIndent=e.textIndent?getMeasurement(e.textIndent,"0pt"):"";this.use=e.use||"";this.usehref=e.usehref||"";this.vAlign=getStringOption(e.vAlign,["top","bottom","middle"]);this.widows=getInteger({data:e.widows,defaultValue:0,validate:e=>e>=0});this.hyphenation=null}[ho](){const \
+e=toStyle(this,"hAlign");""!==this.marginLeft&&(e.paddingLeft=measureToString(this.marginLeft));""!==this.marginRight&&(e.paddingRight=measureToString(this.marginRight));""!==this.spaceAbove&&(e.paddingTop=measureToString(this.spaceAbove));""!==this.spaceBelow&&(e.paddingBottom=measureToString(this.spaceBelow));if(""!==this.textIndent){e.textIndent=measureToString(this.textIndent);fixTextIndent(e)}this.lineHeight>0&&(e.lineHeight=measureToString(this.lineHeight));""!==this.tabDefault&&(e.tabSize\
+=measureToString(this.tabDefault));this.tabStops.length;this.hyphenatation&&Object.assign(e,this.hyphenatation[ho]());return e}}class PasswordEdit extends XFAObject{constructor(e){super(Go,"passwordEdit",!0);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.passwordChar=e.passwordChar||"*";this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.margin=null}}class template_Pattern extends XFAObject{constructor(e){super(Go,"p\
+attern",!0);this.id=e.id||"";this.type=getStringOption(e.type,["crossHatch","crossDiagonal","diagonalLeft","diagonalRight","horizontal","vertical"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000",a="repeating-linear-gradient",r=`${e},${e} 5px,${t} 5px,${t} 10px`;switch(this.type){case"crossHatch":return`${a}(to top,${r}) ${a}(to right,${r})`;case"crossDiagonal":return`${a}(45deg,${r}) ${a}\
+(-45deg,${r})`;case"diagonalLeft":return`${a}(45deg,${r})`;case"diagonalRight":return`${a}(-45deg,${r})`;case"horizontal":return`${a}(to top,${r})`;case"vertical":return`${a}(to right,${r})`}return""}}class Picture extends StringObject{constructor(e){super(Go,"picture");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Proto extends XFAObject{constructor(e){super(Go,"proto",!0);this.appearanceFilter=new XFAObjectArray;this.arc=new XFAObjectArray;this.area=new XFAObjectArray;t\
+his.assist=new XFAObjectArray;this.barcode=new XFAObjectArray;this.bindItems=new XFAObjectArray;this.bookend=new XFAObjectArray;this.boolean=new XFAObjectArray;this.border=new XFAObjectArray;this.break=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.button=new XFAObjectArray;this.calculate=new XFAObjectArray;this.caption=new XFAObjectArray;this.certificate=new XFAObjectArray;this.certificates=new XFAObjectArray;this.checkButton=new XFAObjectArray;th\
+is.choiceList=new XFAObjectArray;this.color=new XFAObjectArray;this.comb=new XFAObjectArray;this.connect=new XFAObjectArray;this.contentArea=new XFAObjectArray;this.corner=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.dateTimeEdit=new XFAObjectArray;this.decimal=new XFAObjectArray;this.defaultUi=new XFAObjectArray;this.desc=new XFAObjectArray;this.digestMethod=new XFAObjectArray;this.digestMethods=new XFAObjectArray;this.draw=new XFAObjectArray;this.edge=n\
+ew XFAObjectArray;this.encoding=new XFAObjectArray;this.encodings=new XFAObjectArray;this.encrypt=new XFAObjectArray;this.encryptData=new XFAObjectArray;this.encryption=new XFAObjectArray;this.encryptionMethod=new XFAObjectArray;this.encryptionMethods=new XFAObjectArray;this.event=new XFAObjectArray;this.exData=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.execute=new XFAObjectArray;this.extras=new XFAObjectArray;this.field=new XFAObjectArray;this.fil\
+l=new XFAObjectArray;this.filter=new XFAObjectArray;this.float=new XFAObjectArray;this.font=new XFAObjectArray;this.format=new XFAObjectArray;this.handler=new XFAObjectArray;this.hyphenation=new XFAObjectArray;this.image=new XFAObjectArray;this.imageEdit=new XFAObjectArray;this.integer=new XFAObjectArray;this.issuers=new XFAObjectArray;this.items=new XFAObjectArray;this.keep=new XFAObjectArray;this.keyUsage=new XFAObjectArray;this.line=new XFAObjectArray;this.linear=new XFAObjectArray;this.lockD\
+ocument=new XFAObjectArray;this.manifest=new XFAObjectArray;this.margin=new XFAObjectArray;this.mdp=new XFAObjectArray;this.medium=new XFAObjectArray;this.message=new XFAObjectArray;this.numericEdit=new XFAObjectArray;this.occur=new XFAObjectArray;this.oid=new XFAObjectArray;this.oids=new XFAObjectArray;this.overflow=new XFAObjectArray;this.pageArea=new XFAObjectArray;this.pageSet=new XFAObjectArray;this.para=new XFAObjectArray;this.passwordEdit=new XFAObjectArray;this.pattern=new XFAObjectArray\
+;this.picture=new XFAObjectArray;this.radial=new XFAObjectArray;this.reason=new XFAObjectArray;this.reasons=new XFAObjectArray;this.rectangle=new XFAObjectArray;this.ref=new XFAObjectArray;this.script=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.signData=new XFAObjectArray;this.signature=new XFAObjectArray;this.signing=new XFAObjectArray;this.solid=new XFAObjectArray;this.speak=new XFAObjectArray;this.stipple=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new X\
+FAObjectArray;this.subjectDN=new XFAObjectArray;this.subjectDNs=new XFAObjectArray;this.submit=new XFAObjectArray;this.text=new XFAObjectArray;this.textEdit=new XFAObjectArray;this.time=new XFAObjectArray;this.timeStamp=new XFAObjectArray;this.toolTip=new XFAObjectArray;this.traversal=new XFAObjectArray;this.traverse=new XFAObjectArray;this.ui=new XFAObjectArray;this.validate=new XFAObjectArray;this.value=new XFAObjectArray;this.variables=new XFAObjectArray}}class Radial extends XFAObject{constr\
+uctor(e){super(Go,"radial",!0);this.id=e.id||"";this.type=getStringOption(e.type,["toEdge","toCenter"]);this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){e=e?e[ho]():"#FFFFFF";const t=this.color?this.color[ho]():"#000000";return`radial-gradient(circle at center, ${"toEdge"===this.type?`${e},${t}`:`${t},${e}`})`}}class Reason extends StringObject{constructor(e){super(Go,"reason");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||\
+""}}class Reasons extends XFAObject{constructor(e){super(Go,"reasons",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.reason=new XFAObjectArray}}class Rectangle extends XFAObject{constructor(e){super(Go,"rectangle",!0);this.hand=getStringOption(e.hand,["even","left","right"]);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.corner=new XFAObjectArray(4);this.edge=new XFAObjectArray(4);this.fill=nu\
+ll}[co](){const e=this.edge.children.length?this.edge.children[0]:new Edge({}),t=e[ho](),a=Object.create(null);"visible"===this.fill?.presence?Object.assign(a,this.fill[ho]()):a.fill="transparent";a.strokeWidth=measureToString("visible"===e.presence?e.thickness:0);a.stroke=t.color;const r=(this.corner.children.length?this.corner.children[0]:new Corner({}))[ho](),i={name:"svg",children:[{name:"rect",attributes:{xmlns:Vo,width:"100%",height:"100%",x:0,y:0,rx:r.radius,ry:r.radius,style:a}}],attribu\
+tes:{xmlns:Vo,style:{overflow:"visible"},width:"100%",height:"100%"}};if(hasMargin(this[vs]()[vs]()))return HTMLResult.success({name:"div",attributes:{style:{display:"inline",width:"100%",height:"100%"}},children:[i]});i.attributes.style.position="absolute";return HTMLResult.success(i)}}class RefElement extends StringObject{constructor(e){super(Go,"ref");this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Script extends StringObject{constructor(e){super(Go,"script");this.bindin\
+g=e.binding||"";this.contentType=e.contentType||"";this.id=e.id||"";this.name=e.name||"";this.runAt=getStringOption(e.runAt,["client","both","server"]);this.use=e.use||"";this.usehref=e.usehref||""}}class SetProperty extends XFAObject{constructor(e){super(Go,"setProperty");this.connection=e.connection||"";this.ref=e.ref||"";this.target=e.target||""}}class SignData extends XFAObject{constructor(e){super(Go,"signData",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["sign","clear",\
+"verify"]);this.ref=e.ref||"";this.target=e.target||"";this.use=e.use||"";this.usehref=e.usehref||"";this.filter=null;this.manifest=null}}class Signature extends XFAObject{constructor(e){super(Go,"signature",!0);this.id=e.id||"";this.type=getStringOption(e.type,["PDF1.3","PDF1.6"]);this.use=e.use||"";this.usehref=e.usehref||"";this.border=null;this.extras=null;this.filter=null;this.manifest=null;this.margin=null}}class Signing extends XFAObject{constructor(e){super(Go,"signing",!0);this.id=e.id|\
+|"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.certificate=new XFAObjectArray}}class Solid extends XFAObject{constructor(e){super(Go,"solid",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null}[ho](e){return e?e[ho]():"#FFFFFF"}}class Speak extends StringObject{constructor(e){super(Go,"speak");this.disable=getInteger({data:e.disable,defaultValue:0,validate:e=>1===e});this.id=e.id||"";this.priority=g\
+etStringOption(e.priority,["custom","caption","name","toolTip"]);this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Stipple extends XFAObject{constructor(e){super(Go,"stipple",!0);this.id=e.id||"";this.rate=getInteger({data:e.rate,defaultValue:50,validate:e=>e>=0&&e<=100});this.use=e.use||"";this.usehref=e.usehref||"";this.color=null;this.extras=null}[ho](e){const t=this.rate/100;return Util.makeHexColor(Math.round(e.value.r*(1-t)+this.value.r*t),Math.round(e.value.g*(1-t)+t\
+his.value.g*t),Math.round(e.value.b*(1-t)+this.value.b*t))}}class Subform extends XFAObject{constructor(e){super(Go,"subform",!0);this.access=getStringOption(e.access,["open","nonInteractive","protected","readOnly"]);this.allowMacro=getInteger({data:e.allowMacro,defaultValue:0,validate:e=>1===e});this.anchorType=getStringOption(e.anchorType,["topLeft","bottomCenter","bottomLeft","bottomRight","middleCenter","middleLeft","middleRight","topCenter","topRight"]);this.colSpan=getInteger({data:e.colSp\
+an,defaultValue:1,validate:e=>e>=1||-1===e});this.columnWidths=(e.columnWidths||"").trim().split(/\\s+/).map((e=>"-1"===e?-1:getMeasurement(e)));this.h=e.h?getMeasurement(e.h):"";this.hAlign=getStringOption(e.hAlign,["left","center","justify","justifyAll","radix","right"]);this.id=e.id||"";this.layout=getStringOption(e.layout,["position","lr-tb","rl-row","rl-tb","row","table","tb"]);this.locale=e.locale||"";this.maxH=getMeasurement(e.maxH,"0pt");this.maxW=getMeasurement(e.maxW,"0pt");this.mergeMo\
+de=getStringOption(e.mergeMode,["consumeData","matchTemplate"]);this.minH=getMeasurement(e.minH,"0pt");this.minW=getMeasurement(e.minW,"0pt");this.name=e.name||"";this.presence=getStringOption(e.presence,["visible","hidden","inactive","invisible"]);this.relevant=getRelevant(e.relevant);this.restoreState=getStringOption(e.restoreState,["manual","auto"]);this.scope=getStringOption(e.scope,["name","none"]);this.use=e.use||"";this.usehref=e.usehref||"";this.w=e.w?getMeasurement(e.w):"";this.x=getMea\
+surement(e.x,"0pt");this.y=getMeasurement(e.y,"0pt");this.assist=null;this.bind=null;this.bookend=null;this.border=null;this.break=null;this.calculate=null;this.desc=null;this.extras=null;this.keep=null;this.margin=null;this.occur=null;this.overflow=null;this.pageSet=null;this.para=null;this.traversal=null;this.validate=null;this.variables=null;this.area=new XFAObjectArray;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.connect=new XFAObjectArray;this.draw=new XFAObje\
+ctArray;this.event=new XFAObjectArray;this.exObject=new XFAObjectArray;this.exclGroup=new XFAObjectArray;this.field=new XFAObjectArray;this.proto=new XFAObjectArray;this.setProperty=new XFAObjectArray;this.subform=new XFAObjectArray;this.subformSet=new XFAObjectArray}[Cs](){const e=this[vs]();return e instanceof SubformSet?e[Cs]():e}[Rs](){return!0}[_s](){return this.layout.endsWith("-tb")&&0===this[ls].attempt&&this[ls].numberInLine>0||this[vs]()[_s]()}*[As](){yield*getContainedChildren(this)}[\
+us](){return flushHTML(this)}[Zn](e,t){addHTML(this,e,t)}[gs](){return getAvailableSpace(this)}[js](){const e=this[Cs]();if(!e[js]())return!1;if(void 0!==this[ls]._isSplittable)return this[ls]._isSplittable;if("position"===this.layout||this.layout.includes("row")){this[ls]._isSplittable=!1;return!1}if(this.keep&&"none"!==this.keep.intact){this[ls]._isSplittable=!1;return!1}if(e.layout?.endsWith("-tb")&&0!==e[ls].numberInLine)return!1;this[ls]._isSplittable=!0;return!0}[co](e){setTabIndex(this);i\
+f(this.break){if("auto"!==this.break.after||""!==this.break.afterTarget){const e=new BreakAfter({targetType:this.break.after,target:this.break.afterTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakAfter.push(e)}if("auto"!==this.break.before||""!==this.break.beforeTarget){const e=new BreakBefore({targetType:this.break.before,target:this.break.beforeTarget,startNew:this.break.startNew.toString()});e[Is]=this[Is];this[Qn](e);this.breakBefore.push(e)}if(""!==this\
+.break.overflowTarget){const e=new Overflow({target:this.break.overflowTarget,leader:this.break.overflowLeader,trailer:this.break.overflowTrailer});e[Is]=this[Is];this[Qn](e);this.overflow.push(e)}this[Zs](this.break);this.break=null}if("hidden"===this.presence||"inactive"===this.presence)return HTMLResult.EMPTY;(this.breakBefore.children.length>1||this.breakAfter.children.length>1)&&warn("XFA - Several breakBefore or breakAfter in subforms: please file a bug.");if(this.breakBefore.children.leng\
+th>=1){const e=this.breakBefore.children[0];if(handleBreak(e))return HTMLResult.breakNode(e)}if(this[ls]?.afterBreakAfter)return HTMLResult.EMPTY;fixDimensions(this);const t=[],a={id:this[uo],class:[]};setAccess(this,a.class);this[ls]||=Object.create(null);Object.assign(this[ls],{children:t,line:null,attributes:a,attempt:0,numberInLine:0,availableSpace:{width:Math.min(this.w||1/0,e.width),height:Math.min(this.h||1/0,e.height)},width:0,height:0,prevHeight:0,currentWidth:0});const r=this[Fs](),i=r\
+[ls].noLayoutFailure,n=this[js]();n||setFirstUnsplittable(this);if(!checkDimensions(this,e))return HTMLResult.FAILURE;const s=new Set(["area","draw","exclGroup","field","subform","subformSet"]);if(this.layout.includes("row")){const e=this[Cs]().columnWidths;if(Array.isArray(e)&&e.length>0){this[ls].columnWidths=e;this[ls].currentColumn=0}}const o=toStyle(this,"anchorType","dimensions","position","presence","border","margin","hAlign"),c=["xfaSubform"],l=layoutClass(this);l&&c.push(l);a.style=o;a.\
+class=c;this.name&&(a.xfaName=this.name);if(this.overflow){const t=this.overflow[ws]();if(t.addLeader){t.addLeader=!1;handleOverflow(this,t.leader,e)}}this[Ys]();const h="lr-tb"===this.layout||"rl-tb"===this.layout,u=h?2:1;for(;this[ls].attempt<u;this[ls].attempt++){h&&1===this[ls].attempt&&(this[ls].numberInLine=0);const e=this[es]({filter:s,include:!0});if(e.success)break;if(e.isBreak()){this[Js]();return e}if(h&&0===this[ls].attempt&&0===this[ls].numberInLine&&!r[ls].noLayoutFailure){this[ls]\
+.attempt=u;break}}this[Js]();n||unsetFirstUnsplittable(this);r[ls].noLayoutFailure=i;if(this[ls].attempt===u){this.overflow&&(this[Fs]()[ls].overflowNode=this.overflow);n||delete this[ls];return HTMLResult.FAILURE}if(this.overflow){const t=this.overflow[ws]();if(t.addTrailer){t.addTrailer=!1;handleOverflow(this,t.trailer,e)}}let d=0,f=0;if(this.margin){d=this.margin.leftInset+this.margin.rightInset;f=this.margin.topInset+this.margin.bottomInset}const g=Math.max(this[ls].width+d,this.w||0),p=Math\
+.max(this[ls].height+f,this.h||0),m=[this.x,this.y,g,p];""===this.w&&(o.width=measureToString(g));""===this.h&&(o.height=measureToString(p));if(("0px"===o.width||"0px"===o.height)&&0===t.length)return HTMLResult.EMPTY;const b={name:"div",attributes:a,children:t};applyAssist(this,a);const y=HTMLResult.success(createWrapper(this,b),m);if(this.breakAfter.children.length>=1){const e=this.breakAfter.children[0];if(handleBreak(e)){this[ls].afterBreakAfter=y;return HTMLResult.breakNode(e)}}delete this[\
+ls];return y}}class SubformSet extends XFAObject{constructor(e){super(Go,"subformSet",!0);this.id=e.id||"";this.name=e.name||"";this.relation=getStringOption(e.relation,["ordered","choice","unordered"]);this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.bookend=null;this.break=null;this.desc=null;this.extras=null;this.occur=null;this.overflow=null;this.breakAfter=new XFAObjectArray;this.breakBefore=new XFAObjectArray;this.subform=new XFAObjectArray;this.subf\
+ormSet=new XFAObjectArray}*[As](){yield*getContainedChildren(this)}[Cs](){let e=this[vs]();for(;!(e instanceof Subform);)e=e[vs]();return e}[Rs](){return!0}}class SubjectDN extends ContentObject{constructor(e){super(Go,"subjectDN");this.delimiter=e.delimiter||",";this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){this[ss]=new Map(this[ss].split(this.delimiter).map((e=>{(e=e.split("=",2))[0]=e[0].trim();return e})))}}class SubjectDNs extends XFAObject{const\
+ructor(e){super(Go,"subjectDNs",!0);this.id=e.id||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||"";this.subjectDN=new XFAObjectArray}}class Submit extends XFAObject{constructor(e){super(Go,"submit",!0);this.embedPDF=getInteger({data:e.embedPDF,defaultValue:0,validate:e=>1===e});this.format=getStringOption(e.format,["xdp","formdata","pdf","urlencoded","xfd","xml"]);this.id=e.id||"";this.target=e.target||"";this.textEncoding=getKeyword({dat\
+a:e.textEncoding?e.textEncoding.toLowerCase():"",defaultValue:"",validate:e=>["utf-8","big-five","fontspecific","gbk","gb-18030","gb-2312","ksc-5601","none","shift-jis","ucs-2","utf-16"].includes(e)||e.match(/iso-8859-\\d{2}/)});this.use=e.use||"";this.usehref=e.usehref||"";this.xdpContent=e.xdpContent||"";this.encrypt=null;this.encryptData=new XFAObjectArray;this.signData=new XFAObjectArray}}class Template extends XFAObject{constructor(e){super(Go,"template",!0);this.baseProfile=getStringOption(\
+e.baseProfile,["full","interactiveForms"]);this.extras=null;this.subform=new XFAObjectArray}[hs](){0===this.subform.children.length&&warn("XFA - No subforms in template node.");this.subform.children.length>=2&&warn("XFA - Several subforms in template node: please file a bug.");this[no]=5e3}[js](){return!0}[to](e,t){return e.startsWith("#")?[this[Os].get(e.slice(1))]:searchNode(this,t,e,!0,!0)}*[oo](){if(!this.subform.children.length)return HTMLResult.success({name:"div",children:[]});this[ls]={o\
+verflowNode:null,firstUnsplittable:null,currentContentArea:null,currentPageArea:null,noLayoutFailure:!1,pageNumber:1,pagePosition:"first",oddOrEven:"odd",blankOrNotBlank:"nonBlank",paraStack:[]};const e=this.subform.children[0];e.pageSet[as]();const t=e.pageSet.pageArea.children,a={name:"div",children:[]};let r=null,i=null,n=null;if(e.breakBefore.children.length>=1){i=e.breakBefore.children[0];n=i.target}else if(e.subform.children.length>=1&&e.subform.children[0].breakBefore.children.length>=1){\
+i=e.subform.children[0].breakBefore.children[0];n=i.target}else if(e.break?.beforeTarget){i=e.break;n=i.beforeTarget}else if(e.subform.children.length>=1&&e.subform.children[0].break?.beforeTarget){i=e.subform.children[0].break;n=i.beforeTarget}if(i){const e=this[to](n,i[vs]());if(e instanceof PageArea){r=e;i[ls]={}}}r||=t[0];r[ls]={numberOfUse:1};const s=r[vs]();s[ls]={numberOfUse:1,pageIndex:s.pageArea.children.indexOf(r),pageSetIndex:0};let o,c=null,l=null,h=!0,u=0,d=0;for(;;){if(h)u=0;else{a\
+.children.pop();if(3==++u){warn("XFA - Something goes wrong: please file a bug.");return a}}o=null;this[ls].currentPageArea=r;const t=r[co]().html;a.children.push(t);if(c){this[ls].noLayoutFailure=!0;t.children.push(c[co](r[ls].space).html);c=null}if(l){this[ls].noLayoutFailure=!0;t.children.push(l[co](r[ls].space).html);l=null}const i=r.contentArea.children,n=t.children.filter((e=>e.attributes.class.includes("xfaContentarea")));h=!1;this[ls].firstUnsplittable=null;this[ls].noLayoutFailure=!1;co\
+nst flush=t=>{const a=e[us]();if(a){h||=a.children?.length>0;n[t].children.push(a)}};for(let t=d,r=i.length;t<r;t++){const r=this[ls].currentContentArea=i[t],s={width:r.w,height:r.h};d=0;if(c){n[t].children.push(c[co](s).html);c=null}if(l){n[t].children.push(l[co](s).html);l=null}const u=e[co](s);if(u.success){if(u.html){h||=u.html.children?.length>0;n[t].children.push(u.html)}else!h&&a.children.length>1&&a.children.pop();return a}if(u.isBreak()){const e=u.breakNode;flush(t);if("auto"===e.target\
+Type)continue;if(e.leader){c=this[to](e.leader,e[vs]());c=c?c[0]:null}if(e.trailer){l=this[to](e.trailer,e[vs]());l=l?l[0]:null}if("pageArea"===e.targetType){o=e[ls].target;t=1/0}else if(e[ls].target){o=e[ls].target;d=e[ls].index+1;t=1/0}else t=e[ls].index}else if(this[ls].overflowNode){const e=this[ls].overflowNode;this[ls].overflowNode=null;const a=e[ws](),r=a.target;a.addLeader=null!==a.leader;a.addTrailer=null!==a.trailer;flush(t);const n=t;t=1/0;if(r instanceof PageArea)o=r;else if(r instan\
+ceof ContentArea){const e=i.indexOf(r);if(-1!==e)e>n?t=e-1:d=e;else{o=r[vs]();d=o.contentArea.children.indexOf(r)}}}else flush(t)}this[ls].pageNumber+=1;o&&(o[Xs]()?o[ls].numberOfUse+=1:o=null);r=o||r[ks]();yield null}}}class Text extends ContentObject{constructor(e){super(Go,"text");this.id=e.id||"";this.maxChars=getInteger({data:e.maxChars,defaultValue:0,validate:e=>e>=0});this.name=e.name||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}[Yn](){return!0}[$s](e){if(e[Hs]===g\
+o.xhtml.id){this[ss]=e;return!0}warn(`XFA - Invalid content in Text: ${e[Ws]}.`);return!1}[Vs](e){this[ss]instanceof XFAObject||super[Vs](e)}[hs](){"string"==typeof this[ss]&&(this[ss]=this[ss].replaceAll("\\r\\n","\\n"))}[ws](){return"string"==typeof this[ss]?this[ss].split(/[\\u2029\\u2028\\n]/).filter((e=>!!e)).join("\\n"):this[ss][so]()}[co](e){if("string"==typeof this[ss]){const e=valueToHtml(this[ss]).html;if(this[ss].includes("\\u2029")){e.name="div";e.children=[];this[ss].split("\\u2029").map((e=\
+>e.split(/[\\u2028\\n]/).flatMap((e=>[{name:"span",value:e},{name:"br"}])))).forEach((t=>{e.children.push({name:"p",children:t})}))}else if(/[\\u2028\\n]/.test(this[ss])){e.name="div";e.children=[];this[ss].split(/[\\u2028\\n]/).forEach((t=>{e.children.push({name:"span",value:t},{name:"br"})}))}return HTMLResult.success(e)}return this[ss][co](e)}}class TextEdit extends XFAObject{constructor(e){super(Go,"textEdit",!0);this.allowRichText=getInteger({data:e.allowRichText,defaultValue:0,validate:e=>1===e}\
+);this.hScrollPolicy=getStringOption(e.hScrollPolicy,["auto","off","on"]);this.id=e.id||"";this.multiLine=getInteger({data:e.multiLine,defaultValue:"",validate:e=>0===e||1===e});this.use=e.use||"";this.usehref=e.usehref||"";this.vScrollPolicy=getStringOption(e.vScrollPolicy,["auto","off","on"]);this.border=null;this.comb=null;this.extras=null;this.margin=null}[co](e){const t=toStyle(this,"border","font","margin");let a;const r=this[vs]()[vs]();""===this.multiLine&&(this.multiLine=r instanceof Dr\
+aw?1:0);a=1===this.multiLine?{name:"textarea",attributes:{dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}}:{name:"input",attributes:{type:"text",dataId:r[os]?.[uo]||r[uo],fieldId:r[uo],class:["xfaTextfield"],style:t,"aria-label":ariaLabel(r),"aria-required":!1}};if(isRequired(r)){a.attributes["aria-required"]=!0;a.attributes.required=!0}return HTMLResult.success({name:"label",attributes:{class:["xfaLabel"]},children:[a]})}}clas\
+s Time extends StringObject{constructor(e){super(Go,"time");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}[hs](){const e=this[ss].trim();this[ss]=e?new Date(e):null}[co](e){return valueToHtml(this[ss]?this[ss].toString():"")}}class TimeStamp extends XFAObject{constructor(e){super(Go,"timeStamp");this.id=e.id||"";this.server=e.server||"";this.type=getStringOption(e.type,["optional","required"]);this.use=e.use||"";this.usehref=e.usehref||""}}class ToolTip exte\
+nds StringObject{constructor(e){super(Go,"toolTip");this.id=e.id||"";this.rid=e.rid||"";this.use=e.use||"";this.usehref=e.usehref||""}}class Traversal extends XFAObject{constructor(e){super(Go,"traversal",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.traverse=new XFAObjectArray}}class Traverse extends XFAObject{constructor(e){super(Go,"traverse",!0);this.id=e.id||"";this.operation=getStringOption(e.operation,["next","back","down","first","left","right",\
+"up"]);this.ref=e.ref||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.script=null}get name(){return this.operation}[Us](){return!1}}class Ui extends XFAObject{constructor(e){super(Go,"ui",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.picture=null;this.barcode=null;this.button=null;this.checkButton=null;this.choiceList=null;this.dateTimeEdit=null;this.defaultUi=null;this.imageEdit=null;this.numericEdit=null;this.passwordEdit=null;\
+this.signature=null;this.textEdit=null}[ws](){if(void 0===this[ls]){for(const e of Object.getOwnPropertyNames(this)){if("extras"===e||"picture"===e)continue;const t=this[e];if(t instanceof XFAObject){this[ls]=t;return t}}this[ls]=null}return this[ls]}[co](e){const t=this[ws]();return t?t[co](e):HTMLResult.EMPTY}}class Validate extends XFAObject{constructor(e){super(Go,"validate",!0);this.formatTest=getStringOption(e.formatTest,["warning","disabled","error"]);this.id=e.id||"";this.nullTest=getStr\
+ingOption(e.nullTest,["disabled","error","warning"]);this.scriptTest=getStringOption(e.scriptTest,["error","disabled","warning"]);this.use=e.use||"";this.usehref=e.usehref||"";this.extras=null;this.message=null;this.picture=null;this.script=null}}class Value extends XFAObject{constructor(e){super(Go,"value",!0);this.id=e.id||"";this.override=getInteger({data:e.override,defaultValue:0,validate:e=>1===e});this.relevant=getRelevant(e.relevant);this.use=e.use||"";this.usehref=e.usehref||"";this.arc=\
+null;this.boolean=null;this.date=null;this.dateTime=null;this.decimal=null;this.exData=null;this.float=null;this.image=null;this.integer=null;this.line=null;this.rectangle=null;this.text=null;this.time=null}[io](e){const t=this[vs]();if(t instanceof Field&&t.ui?.imageEdit){if(!this.image){this.image=new Image({});this[Qn](this.image)}this.image[ss]=e[ss];return}const a=e[Ws];if(null===this[a]){for(const e of Object.getOwnPropertyNames(this)){const t=this[e];if(t instanceof XFAObject){this[e]=nul\
+l;this[Zs](t)}}this[e[Ws]]=e;this[Qn](e)}else this[a][ss]=e[ss]}[so](){if(this.exData)return"string"==typeof this.exData[ss]?this.exData[ss].trim():this.exData[ss][so]().trim();for(const e of Object.getOwnPropertyNames(this)){if("image"===e)continue;const t=this[e];if(t instanceof XFAObject)return(t[ss]||"").toString().trim()}return null}[co](e){for(const t of Object.getOwnPropertyNames(this)){const a=this[t];if(a instanceof XFAObject)return a[co](e)}return HTMLResult.EMPTY}}class Variables exte\
+nds XFAObject{constructor(e){super(Go,"variables",!0);this.id=e.id||"";this.use=e.use||"";this.usehref=e.usehref||"";this.boolean=new XFAObjectArray;this.date=new XFAObjectArray;this.dateTime=new XFAObjectArray;this.decimal=new XFAObjectArray;this.exData=new XFAObjectArray;this.float=new XFAObjectArray;this.image=new XFAObjectArray;this.integer=new XFAObjectArray;this.manifest=new XFAObjectArray;this.script=new XFAObjectArray;this.text=new XFAObjectArray;this.time=new XFAObjectArray}[Us](){retur\
+n!0}}class TemplateNamespace{static[fo](e,t){if(TemplateNamespace.hasOwnProperty(e)){const a=TemplateNamespace[e](t);a[ro](t);return a}}static appearanceFilter(e){return new AppearanceFilter(e)}static arc(e){return new Arc(e)}static area(e){return new Area(e)}static assist(e){return new Assist(e)}static barcode(e){return new Barcode(e)}static bind(e){return new Bind(e)}static bindItems(e){return new BindItems(e)}static bookend(e){return new Bookend(e)}static boolean(e){return new BooleanElement(\
+e)}static border(e){return new Border(e)}static break(e){return new Break(e)}static breakAfter(e){return new BreakAfter(e)}static breakBefore(e){return new BreakBefore(e)}static button(e){return new Button(e)}static calculate(e){return new Calculate(e)}static caption(e){return new Caption(e)}static certificate(e){return new Certificate(e)}static certificates(e){return new Certificates(e)}static checkButton(e){return new CheckButton(e)}static choiceList(e){return new ChoiceList(e)}static color(e)\
+{return new Color(e)}static comb(e){return new Comb(e)}static connect(e){return new Connect(e)}static contentArea(e){return new ContentArea(e)}static corner(e){return new Corner(e)}static date(e){return new DateElement(e)}static dateTime(e){return new DateTime(e)}static dateTimeEdit(e){return new DateTimeEdit(e)}static decimal(e){return new Decimal(e)}static defaultUi(e){return new DefaultUi(e)}static desc(e){return new Desc(e)}static digestMethod(e){return new DigestMethod(e)}static digestMetho\
+ds(e){return new DigestMethods(e)}static draw(e){return new Draw(e)}static edge(e){return new Edge(e)}static encoding(e){return new Encoding(e)}static encodings(e){return new Encodings(e)}static encrypt(e){return new Encrypt(e)}static encryptData(e){return new EncryptData(e)}static encryption(e){return new Encryption(e)}static encryptionMethod(e){return new EncryptionMethod(e)}static encryptionMethods(e){return new EncryptionMethods(e)}static event(e){return new Event(e)}static exData(e){return \
+new ExData(e)}static exObject(e){return new ExObject(e)}static exclGroup(e){return new ExclGroup(e)}static execute(e){return new Execute(e)}static extras(e){return new Extras(e)}static field(e){return new Field(e)}static fill(e){return new Fill(e)}static filter(e){return new Filter(e)}static float(e){return new Float(e)}static font(e){return new template_Font(e)}static format(e){return new Format(e)}static handler(e){return new Handler(e)}static hyphenation(e){return new Hyphenation(e)}static im\
+age(e){return new Image(e)}static imageEdit(e){return new ImageEdit(e)}static integer(e){return new Integer(e)}static issuers(e){return new Issuers(e)}static items(e){return new Items(e)}static keep(e){return new Keep(e)}static keyUsage(e){return new KeyUsage(e)}static line(e){return new Line(e)}static linear(e){return new Linear(e)}static lockDocument(e){return new LockDocument(e)}static manifest(e){return new Manifest(e)}static margin(e){return new Margin(e)}static mdp(e){return new Mdp(e)}sta\
+tic medium(e){return new Medium(e)}static message(e){return new Message(e)}static numericEdit(e){return new NumericEdit(e)}static occur(e){return new Occur(e)}static oid(e){return new Oid(e)}static oids(e){return new Oids(e)}static overflow(e){return new Overflow(e)}static pageArea(e){return new PageArea(e)}static pageSet(e){return new PageSet(e)}static para(e){return new Para(e)}static passwordEdit(e){return new PasswordEdit(e)}static pattern(e){return new template_Pattern(e)}static picture(e){\
+return new Picture(e)}static proto(e){return new Proto(e)}static radial(e){return new Radial(e)}static reason(e){return new Reason(e)}static reasons(e){return new Reasons(e)}static rectangle(e){return new Rectangle(e)}static ref(e){return new RefElement(e)}static script(e){return new Script(e)}static setProperty(e){return new SetProperty(e)}static signData(e){return new SignData(e)}static signature(e){return new Signature(e)}static signing(e){return new Signing(e)}static solid(e){return new Soli\
+d(e)}static speak(e){return new Speak(e)}static stipple(e){return new Stipple(e)}static subform(e){return new Subform(e)}static subformSet(e){return new SubformSet(e)}static subjectDN(e){return new SubjectDN(e)}static subjectDNs(e){return new SubjectDNs(e)}static submit(e){return new Submit(e)}static template(e){return new Template(e)}static text(e){return new Text(e)}static textEdit(e){return new TextEdit(e)}static time(e){return new Time(e)}static timeStamp(e){return new TimeStamp(e)}static to\
+olTip(e){return new ToolTip(e)}static traversal(e){return new Traversal(e)}static traverse(e){return new Traverse(e)}static ui(e){return new Ui(e)}static validate(e){return new Validate(e)}static value(e){return new Value(e)}static variables(e){return new Variables(e)}}const Zo=go.datasets.id;function createText(e){const t=new Text({});t[ss]=e;return t}class Binder{constructor(e){this.root=e;this.datasets=e.datasets;this.data=e.datasets?.data||new XmlObject(go.datasets.id,"data");this.emptyMerge\
+=0===this.data[Ss]().length;this.root.form=this.form=e.template[is]()}_isConsumeData(){return!this.emptyMerge&&this._mergeMode}_isMatchTemplate(){return!this._isConsumeData()}bind(){this._bindElement(this.form,this.data);return this.form}getData(){return this.data}_bindValue(e,t,a){e[os]=t;if(e[Ts]())if(t[Ns]()){const a=t[ys]();e[io](createText(a))}else if(e instanceof Field&&"multiSelect"===e.ui?.choiceList?.open){const a=t[Ss]().map((e=>e[ss].trim())).join("\\n");e[io](createText(a))}else this.\
+_isConsumeData()&&warn("XFA - Nodes haven\'t the same type.");else!t[Ns]()||this._isMatchTemplate()?this._bindElement(e,t):warn("XFA - Nodes haven\'t the same type.")}_findDataByNameToConsume(e,t,a,r){if(!e)return null;let i,n;for(let r=0;r<3;r++){i=a[xs](e,!1,!0);for(;;){n=i.next().value;if(!n)break;if(t===n[Ns]())return n}if(a[Hs]===go.datasets.id&&"data"===a[Ws])break;a=a[vs]()}if(!r)return null;i=this.data[xs](e,!0,!1);n=i.next().value;if(n)return n;i=this.data[ds](e,!0);n=i.next().value;retur\
+n n?.[Ns]()?n:null}_setProperties(e,t){if(e.hasOwnProperty("setProperty"))for(const{ref:a,target:r,connection:i}of e.setProperty.children){if(i)continue;if(!a)continue;const n=searchNode(this.root,t,a,!1,!1);if(!n){warn(`XFA - Invalid reference: ${a}.`);continue}const[s]=n;if(!s[Es](this.data)){warn("XFA - Invalid node: must be a data node.");continue}const o=searchNode(this.root,e,r,!1,!1);if(!o){warn(`XFA - Invalid target: ${r}.`);continue}const[c]=o;if(!c[Es](e)){warn("XFA - Invalid target: m\
+ust be a property or subproperty.");continue}const l=c[vs]();if(c instanceof SetProperty||l instanceof SetProperty){warn("XFA - Invalid target: cannot be a setProperty or one of its properties.");continue}if(c instanceof BindItems||l instanceof BindItems){warn("XFA - Invalid target: cannot be a bindItems or one of its properties.");continue}const h=s[so](),u=c[Ws];if(c instanceof XFAAttribute){const e=Object.create(null);e[u]=h;const t=Reflect.construct(Object.getPrototypeOf(l).constructor,[e]);\
+l[u]=t[u]}else if(c.hasOwnProperty(ss)){c[os]=s;c[ss]=h;c[hs]()}else warn("XFA - Invalid node to use in setProperty")}}_bindItems(e,t){if(!e.hasOwnProperty("items")||!e.hasOwnProperty("bindItems")||e.bindItems.isEmpty())return;for(const t of e.items.children)e[Zs](t);e.items.clear();const a=new Items({}),r=new Items({});e[Qn](a);e.items.push(a);e[Qn](r);e.items.push(r);for(const{ref:i,labelRef:n,valueRef:s,connection:o}of e.bindItems.children){if(o)continue;if(!i)continue;const e=searchNode(this\
+.root,t,i,!1,!1);if(e)for(const t of e){if(!t[Es](this.datasets)){warn(`XFA - Invalid ref (${i}): must be a datasets child.`);continue}const e=searchNode(this.root,t,n,!0,!1);if(!e){warn(`XFA - Invalid label: ${n}.`);continue}const[o]=e;if(!o[Es](this.datasets)){warn("XFA - Invalid label: must be a datasets child.");continue}const c=searchNode(this.root,t,s,!0,!1);if(!c){warn(`XFA - Invalid value: ${s}.`);continue}const[l]=c;if(!l[Es](this.datasets)){warn("XFA - Invalid value: must be a datasets\
+ child.");continue}const h=createText(o[so]()),u=createText(l[so]());a[Qn](h);a.text.push(h);r[Qn](u);r.text.push(u)}else warn(`XFA - Invalid reference: ${i}.`)}}_bindOccurrences(e,t,a){let r;if(t.length>1){r=e[is]();r[Zs](r.occur);r.occur=null}this._bindValue(e,t[0],a);this._setProperties(e,t[0]);this._bindItems(e,t[0]);if(1===t.length)return;const i=e[vs](),n=e[Ws],s=i[Ms](e);for(let e=1,o=t.length;e<o;e++){const o=t[e],c=r[is]();i[n].push(c);i[Ds](s+e,c);this._bindValue(c,o,a);this._setProper\
+ties(c,o);this._bindItems(c,o)}}_createOccurrences(e){if(!this.emptyMerge)return;const{occur:t}=e;if(!t||t.initial<=1)return;const a=e[vs](),r=e[Ws];if(!(a[r]instanceof XFAObjectArray))return;let i;i=e.name?a[r].children.filter((t=>t.name===e.name)).length:a[r].children.length;const n=a[Ms](e)+1,s=t.initial-i;if(s){const t=e[is]();t[Zs](t.occur);t.occur=null;a[r].push(t);a[Ds](n,t);for(let e=1;e<s;e++){const i=t[is]();a[r].push(i);a[Ds](n+e,i)}}}_getOccurInfo(e){const{name:t,occur:a}=e;if(!a||!t\
+)return[1,1];const r=-1===a.max?1/0:a.max;return[a.min,r]}_setAndBind(e,t){this._setProperties(e,t);this._bindItems(e,t);this._bindElement(e,t)}_bindElement(e,t){const a=[];this._createOccurrences(e);for(const r of e[Ss]()){if(r[os])continue;if(void 0===this._mergeMode&&"subform"===r[Ws]){this._mergeMode="consumeData"===r.mergeMode;const e=t[Ss]();if(e.length>0)this._bindOccurrences(r,[e[0]],null);else if(this.emptyMerge){const e=t[Hs]===Zo?-1:t[Hs],a=r[os]=new XmlObject(e,r.name||"root");t[Qn](\
+a);this._bindElement(r,a)}continue}if(!r[Rs]())continue;let e=!1,i=null,n=null,s=null;if(r.bind){switch(r.bind.match){case"none":this._setAndBind(r,t);continue;case"global":e=!0;break;case"dataRef":if(!r.bind.ref){warn(`XFA - ref is empty in node ${r[Ws]}.`);this._setAndBind(r,t);continue}n=r.bind.ref}r.bind.picture&&(i=r.bind.picture[ss])}const[o,c]=this._getOccurInfo(r);if(n){s=searchNode(this.root,t,n,!0,!1);if(null===s){s=createDataNode(this.data,t,n);if(!s)continue;this._isConsumeData()&&(s\
+[ns]=!0);this._setAndBind(r,s);continue}this._isConsumeData()&&(s=s.filter((e=>!e[ns])));s.length>c?s=s.slice(0,c):0===s.length&&(s=null);s&&this._isConsumeData()&&s.forEach((e=>{e[ns]=!0}))}else{if(!r.name){this._setAndBind(r,t);continue}if(this._isConsumeData()){const a=[];for(;a.length<c;){const i=this._findDataByNameToConsume(r.name,r[Ts](),t,e);if(!i)break;i[ns]=!0;a.push(i)}s=a.length>0?a:null}else{s=t[xs](r.name,!1,this.emptyMerge).next().value;if(!s){if(0===o){a.push(r);continue}const e=\
+t[Hs]===Zo?-1:t[Hs];s=r[os]=new XmlObject(e,r.name);this.emptyMerge&&(s[ns]=!0);t[Qn](s);this._setAndBind(r,s);continue}this.emptyMerge&&(s[ns]=!0);s=[s]}}s?this._bindOccurrences(r,s,i):o>0?this._setAndBind(r,t):a.push(r)}a.forEach((e=>e[vs]()[Zs](e)))}}class DataHandler{constructor(e,t){this.data=t;this.dataset=e.datasets||null}serialize(e){const t=[[-1,this.data[Ss]()]];for(;t.length>0;){const a=t.at(-1),[r,i]=a;if(r+1===i.length){t.pop();continue}const n=i[++a[0]],s=e.get(n[uo]);if(s)n[io](s)\
+;else{const t=n[fs]();for(const a of t.values()){const t=e.get(a[uo]);if(t){a[io](t);break}}}const o=n[Ss]();o.length>0&&t.push([-1,o])}const a=[\'<xfa:datasets xmlns:xfa="http://www.xfa.org/schema/xfa-data/1.0/">\'];if(this.dataset)for(const e of this.dataset[Ss]())"data"!==e[Ws]&&e[lo](a);this.data[lo](a);a.push("</xfa:datasets>");return a.join("")}}const Qo=go.config.id;class Acrobat extends XFAObject{constructor(e){super(Qo,"acrobat",!0);this.acrobat7=null;this.autoSave=null;this.common=null;t\
+his.validate=null;this.validateApprovalSignatures=null;this.submitUrl=new XFAObjectArray}}class Acrobat7 extends XFAObject{constructor(e){super(Qo,"acrobat7",!0);this.dynamicRender=null}}class ADBE_JSConsole extends OptionObject{constructor(e){super(Qo,"ADBE_JSConsole",["delegate","Enable","Disable"])}}class ADBE_JSDebugger extends OptionObject{constructor(e){super(Qo,"ADBE_JSDebugger",["delegate","Enable","Disable"])}}class AddSilentPrint extends Option01{constructor(e){super(Qo,"addSilentPrint\
+")}}class AddViewerPreferences extends Option01{constructor(e){super(Qo,"addViewerPreferences")}}class AdjustData extends Option10{constructor(e){super(Qo,"adjustData")}}class AdobeExtensionLevel extends IntegerObject{constructor(e){super(Qo,"adobeExtensionLevel",0,(e=>e>=1&&e<=8))}}class Agent extends XFAObject{constructor(e){super(Qo,"agent",!0);this.name=e.name?e.name.trim():"";this.common=new XFAObjectArray}}class AlwaysEmbed extends ContentObject{constructor(e){super(Qo,"alwaysEmbed")}}clas\
+s Amd extends StringObject{constructor(e){super(Qo,"amd")}}class config_Area extends XFAObject{constructor(e){super(Qo,"area");this.level=getInteger({data:e.level,defaultValue:0,validate:e=>e>=1&&e<=3});this.name=getStringOption(e.name,["","barcode","coreinit","deviceDriver","font","general","layout","merge","script","signature","sourceSet","templateCache"])}}class Attributes extends OptionObject{constructor(e){super(Qo,"attributes",["preserve","delegate","ignore"])}}class AutoSave extends Optio\
+nObject{constructor(e){super(Qo,"autoSave",["disabled","enabled"])}}class Base extends StringObject{constructor(e){super(Qo,"base")}}class BatchOutput extends XFAObject{constructor(e){super(Qo,"batchOutput");this.format=getStringOption(e.format,["none","concat","zip","zipCompress"])}}class BehaviorOverride extends ContentObject{constructor(e){super(Qo,"behaviorOverride")}[hs](){this[ss]=new Map(this[ss].trim().split(/\\s+/).filter((e=>e.includes(":"))).map((e=>e.split(":",2))))}}class Cache exten\
+ds XFAObject{constructor(e){super(Qo,"cache",!0);this.templateCache=null}}class Change extends Option01{constructor(e){super(Qo,"change")}}class Common extends XFAObject{constructor(e){super(Qo,"common",!0);this.data=null;this.locale=null;this.localeSet=null;this.messaging=null;this.suppressBanner=null;this.template=null;this.validationMessaging=null;this.versionControl=null;this.log=new XFAObjectArray}}class Compress extends XFAObject{constructor(e){super(Qo,"compress");this.scope=getStringOpti\
+on(e.scope,["imageOnly","document"])}}class CompressLogicalStructure extends Option01{constructor(e){super(Qo,"compressLogicalStructure")}}class CompressObjectStream extends Option10{constructor(e){super(Qo,"compressObjectStream")}}class Compression extends XFAObject{constructor(e){super(Qo,"compression",!0);this.compressLogicalStructure=null;this.compressObjectStream=null;this.level=null;this.type=null}}class Config extends XFAObject{constructor(e){super(Qo,"config",!0);this.acrobat=null;this.p\
+resent=null;this.trace=null;this.agent=new XFAObjectArray}}class Conformance extends OptionObject{constructor(e){super(Qo,"conformance",["A","B"])}}class ContentCopy extends Option01{constructor(e){super(Qo,"contentCopy")}}class Copies extends IntegerObject{constructor(e){super(Qo,"copies",1,(e=>e>=1))}}class Creator extends StringObject{constructor(e){super(Qo,"creator")}}class CurrentPage extends IntegerObject{constructor(e){super(Qo,"currentPage",0,(e=>e>=0))}}class Data extends XFAObject{con\
+structor(e){super(Qo,"data",!0);this.adjustData=null;this.attributes=null;this.incrementalLoad=null;this.outputXSL=null;this.range=null;this.record=null;this.startNode=null;this.uri=null;this.window=null;this.xsl=null;this.excludeNS=new XFAObjectArray;this.transform=new XFAObjectArray}}class Debug extends XFAObject{constructor(e){super(Qo,"debug",!0);this.uri=null}}class DefaultTypeface extends ContentObject{constructor(e){super(Qo,"defaultTypeface");this.writingScript=getStringOption(e.writingS\
+cript,["*","Arabic","Cyrillic","EastEuropeanRoman","Greek","Hebrew","Japanese","Korean","Roman","SimplifiedChinese","Thai","TraditionalChinese","Vietnamese"])}}class Destination extends OptionObject{constructor(e){super(Qo,"destination",["pdf","pcl","ps","webClient","zpl"])}}class DocumentAssembly extends Option01{constructor(e){super(Qo,"documentAssembly")}}class Driver extends XFAObject{constructor(e){super(Qo,"driver",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}cla\
+ss DuplexOption extends OptionObject{constructor(e){super(Qo,"duplexOption",["simplex","duplexFlipLongEdge","duplexFlipShortEdge"])}}class DynamicRender extends OptionObject{constructor(e){super(Qo,"dynamicRender",["forbidden","required"])}}class Embed extends Option01{constructor(e){super(Qo,"embed")}}class config_Encrypt extends Option01{constructor(e){super(Qo,"encrypt")}}class config_Encryption extends XFAObject{constructor(e){super(Qo,"encryption",!0);this.encrypt=null;this.encryptionLevel=\
+null;this.permissions=null}}class EncryptionLevel extends OptionObject{constructor(e){super(Qo,"encryptionLevel",["40bit","128bit"])}}class Enforce extends StringObject{constructor(e){super(Qo,"enforce")}}class Equate extends XFAObject{constructor(e){super(Qo,"equate");this.force=getInteger({data:e.force,defaultValue:1,validate:e=>0===e});this.from=e.from||"";this.to=e.to||""}}class EquateRange extends XFAObject{constructor(e){super(Qo,"equateRange");this.from=e.from||"";this.to=e.to||"";this._u\
+nicodeRange=e.unicodeRange||""}get unicodeRange(){const e=[],t=/U\\+([0-9a-fA-F]+)/,a=this._unicodeRange;for(let r of a.split(",").map((e=>e.trim())).filter((e=>!!e))){r=r.split("-",2).map((e=>{const a=e.match(t);return a?parseInt(a[1],16):0}));1===r.length&&r.push(r[0]);e.push(r)}return shadow(this,"unicodeRange",e)}}class Exclude extends ContentObject{constructor(e){super(Qo,"exclude")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>e&&["calculate","close","enter","exit","initialize","r\
+eady","validate"].includes(e)))}}class ExcludeNS extends StringObject{constructor(e){super(Qo,"excludeNS")}}class FlipLabel extends OptionObject{constructor(e){super(Qo,"flipLabel",["usePrinterSetting","on","off"])}}class config_FontInfo extends XFAObject{constructor(e){super(Qo,"fontInfo",!0);this.embed=null;this.map=null;this.subsetBelow=null;this.alwaysEmbed=new XFAObjectArray;this.defaultTypeface=new XFAObjectArray;this.neverEmbed=new XFAObjectArray}}class FormFieldFilling extends Option01{c\
+onstructor(e){super(Qo,"formFieldFilling")}}class GroupParent extends StringObject{constructor(e){super(Qo,"groupParent")}}class IfEmpty extends OptionObject{constructor(e){super(Qo,"ifEmpty",["dataValue","dataGroup","ignore","remove"])}}class IncludeXDPContent extends StringObject{constructor(e){super(Qo,"includeXDPContent")}}class IncrementalLoad extends OptionObject{constructor(e){super(Qo,"incrementalLoad",["none","forwardOnly"])}}class IncrementalMerge extends Option01{constructor(e){super(\
+Qo,"incrementalMerge")}}class Interactive extends Option01{constructor(e){super(Qo,"interactive")}}class Jog extends OptionObject{constructor(e){super(Qo,"jog",["usePrinterSetting","none","pageSet"])}}class LabelPrinter extends XFAObject{constructor(e){super(Qo,"labelPrinter",!0);this.name=getStringOption(e.name,["zpl","dpl","ipl","tcpl"]);this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class Layout extends OptionObject{constructor(e){super(Qo,"layout",["paginate","pa\
+nel"])}}class Level extends IntegerObject{constructor(e){super(Qo,"level",0,(e=>e>0))}}class Linearized extends Option01{constructor(e){super(Qo,"linearized")}}class Locale extends StringObject{constructor(e){super(Qo,"locale")}}class LocaleSet extends StringObject{constructor(e){super(Qo,"localeSet")}}class Log extends XFAObject{constructor(e){super(Qo,"log",!0);this.mode=null;this.threshold=null;this.to=null;this.uri=null}}class MapElement extends XFAObject{constructor(e){super(Qo,"map",!0);th\
+is.equate=new XFAObjectArray;this.equateRange=new XFAObjectArray}}class MediumInfo extends XFAObject{constructor(e){super(Qo,"mediumInfo",!0);this.map=null}}class config_Message extends XFAObject{constructor(e){super(Qo,"message",!0);this.msgId=null;this.severity=null}}class Messaging extends XFAObject{constructor(e){super(Qo,"messaging",!0);this.message=new XFAObjectArray}}class Mode extends OptionObject{constructor(e){super(Qo,"mode",["append","overwrite"])}}class ModifyAnnots extends Option01\
+{constructor(e){super(Qo,"modifyAnnots")}}class MsgId extends IntegerObject{constructor(e){super(Qo,"msgId",1,(e=>e>=1))}}class NameAttr extends StringObject{constructor(e){super(Qo,"nameAttr")}}class NeverEmbed extends ContentObject{constructor(e){super(Qo,"neverEmbed")}}class NumberOfCopies extends IntegerObject{constructor(e){super(Qo,"numberOfCopies",null,(e=>e>=2&&e<=5))}}class OpenAction extends XFAObject{constructor(e){super(Qo,"openAction",!0);this.destination=null}}class Output extends \
+XFAObject{constructor(e){super(Qo,"output",!0);this.to=null;this.type=null;this.uri=null}}class OutputBin extends StringObject{constructor(e){super(Qo,"outputBin")}}class OutputXSL extends XFAObject{constructor(e){super(Qo,"outputXSL",!0);this.uri=null}}class Overprint extends OptionObject{constructor(e){super(Qo,"overprint",["none","both","draw","field"])}}class Packets extends StringObject{constructor(e){super(Qo,"packets")}[hs](){"*"!==this[ss]&&(this[ss]=this[ss].trim().split(/\\s+/).filter((\
+e=>["config","datasets","template","xfdf","xslt"].includes(e))))}}class PageOffset extends XFAObject{constructor(e){super(Qo,"pageOffset");this.x=getInteger({data:e.x,defaultValue:"useXDCSetting",validate:e=>!0});this.y=getInteger({data:e.y,defaultValue:"useXDCSetting",validate:e=>!0})}}class PageRange extends StringObject{constructor(e){super(Qo,"pageRange")}[hs](){const e=this[ss].trim().split(/\\s+/).map((e=>parseInt(e,10))),t=[];for(let a=0,r=e.length;a<r;a+=2)t.push(e.slice(a,a+2));this[ss]=\
+t}}class Pagination extends OptionObject{constructor(e){super(Qo,"pagination",["simplex","duplexShortEdge","duplexLongEdge"])}}class PaginationOverride extends OptionObject{constructor(e){super(Qo,"paginationOverride",["none","forceDuplex","forceDuplexLongEdge","forceDuplexShortEdge","forceSimplex"])}}class Part extends IntegerObject{constructor(e){super(Qo,"part",1,(e=>!1))}}class Pcl extends XFAObject{constructor(e){super(Qo,"pcl",!0);this.name=e.name||"";this.batchOutput=null;this.fontInfo=nu\
+ll;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.pageOffset=null;this.staple=null;this.xdc=null}}class Pdf extends XFAObject{constructor(e){super(Qo,"pdf",!0);this.name=e.name||"";this.adobeExtensionLevel=null;this.batchOutput=null;this.compression=null;this.creator=null;this.encryption=null;this.fontInfo=null;this.interactive=null;this.linearized=null;this.openAction=null;this.pdfa=null;this.producer=null;this.renderPolicy=null;this.scriptModel=null;this.silentPrint=null;this.subm\
+itFormat=null;this.tagged=null;this.version=null;this.viewerPreferences=null;this.xdc=null}}class Pdfa extends XFAObject{constructor(e){super(Qo,"pdfa",!0);this.amd=null;this.conformance=null;this.includeXDPContent=null;this.part=null}}class Permissions extends XFAObject{constructor(e){super(Qo,"permissions",!0);this.accessibleContent=null;this.change=null;this.contentCopy=null;this.documentAssembly=null;this.formFieldFilling=null;this.modifyAnnots=null;this.plaintextMetadata=null;this.print=nul\
+l;this.printHighQuality=null}}class PickTrayByPDFSize extends Option01{constructor(e){super(Qo,"pickTrayByPDFSize")}}class config_Picture extends StringObject{constructor(e){super(Qo,"picture")}}class PlaintextMetadata extends Option01{constructor(e){super(Qo,"plaintextMetadata")}}class Presence extends OptionObject{constructor(e){super(Qo,"presence",["preserve","dissolve","dissolveStructure","ignore","remove"])}}class Present extends XFAObject{constructor(e){super(Qo,"present",!0);this.behavior\
+Override=null;this.cache=null;this.common=null;this.copies=null;this.destination=null;this.incrementalMerge=null;this.layout=null;this.output=null;this.overprint=null;this.pagination=null;this.paginationOverride=null;this.script=null;this.validate=null;this.xdp=null;this.driver=new XFAObjectArray;this.labelPrinter=new XFAObjectArray;this.pcl=new XFAObjectArray;this.pdf=new XFAObjectArray;this.ps=new XFAObjectArray;this.submitUrl=new XFAObjectArray;this.webClient=new XFAObjectArray;this.zpl=new X\
+FAObjectArray}}class Print extends Option01{constructor(e){super(Qo,"print")}}class PrintHighQuality extends Option01{constructor(e){super(Qo,"printHighQuality")}}class PrintScaling extends OptionObject{constructor(e){super(Qo,"printScaling",["appdefault","noScaling"])}}class PrinterName extends StringObject{constructor(e){super(Qo,"printerName")}}class Producer extends StringObject{constructor(e){super(Qo,"producer")}}class Ps extends XFAObject{constructor(e){super(Qo,"ps",!0);this.name=e.name|\
+|"";this.batchOutput=null;this.fontInfo=null;this.jog=null;this.mediumInfo=null;this.outputBin=null;this.staple=null;this.xdc=null}}class Range extends ContentObject{constructor(e){super(Qo,"range")}[hs](){this[ss]=this[ss].split(",",2).map((e=>e.split("-").map((e=>parseInt(e.trim(),10))))).filter((e=>e.every((e=>!isNaN(e))))).map((e=>{1===e.length&&e.push(e[0]);return e}))}}class Record extends ContentObject{constructor(e){super(Qo,"record")}[hs](){this[ss]=this[ss].trim();const e=parseInt(this\
+[ss],10);!isNaN(e)&&e>=0&&(this[ss]=e)}}class Relevant extends ContentObject{constructor(e){super(Qo,"relevant")}[hs](){this[ss]=this[ss].trim().split(/\\s+/)}}class Rename extends ContentObject{constructor(e){super(Qo,"rename")}[hs](){this[ss]=this[ss].trim();(this[ss].toLowerCase().startsWith("xml")||new RegExp("[\\\\p{L}_][\\\\p{L}\\\\d._\\\\p{M}-]*","u").test(this[ss]))&&warn("XFA - Rename: invalid XFA name")}}class RenderPolicy extends OptionObject{constructor(e){super(Qo,"renderPolicy",["server","c\
+lient"])}}class RunScripts extends OptionObject{constructor(e){super(Qo,"runScripts",["both","client","none","server"])}}class config_Script extends XFAObject{constructor(e){super(Qo,"script",!0);this.currentPage=null;this.exclude=null;this.runScripts=null}}class ScriptModel extends OptionObject{constructor(e){super(Qo,"scriptModel",["XFA","none"])}}class Severity extends OptionObject{constructor(e){super(Qo,"severity",["ignore","error","information","trace","warning"])}}class SilentPrint extend\
+s XFAObject{constructor(e){super(Qo,"silentPrint",!0);this.addSilentPrint=null;this.printerName=null}}class Staple extends XFAObject{constructor(e){super(Qo,"staple");this.mode=getStringOption(e.mode,["usePrinterSetting","on","off"])}}class StartNode extends StringObject{constructor(e){super(Qo,"startNode")}}class StartPage extends IntegerObject{constructor(e){super(Qo,"startPage",0,(e=>!0))}}class SubmitFormat extends OptionObject{constructor(e){super(Qo,"submitFormat",["html","delegate","fdf",\
+"xml","pdf"])}}class SubmitUrl extends StringObject{constructor(e){super(Qo,"submitUrl")}}class SubsetBelow extends IntegerObject{constructor(e){super(Qo,"subsetBelow",100,(e=>e>=0&&e<=100))}}class SuppressBanner extends Option01{constructor(e){super(Qo,"suppressBanner")}}class Tagged extends Option01{constructor(e){super(Qo,"tagged")}}class config_Template extends XFAObject{constructor(e){super(Qo,"template",!0);this.base=null;this.relevant=null;this.startPage=null;this.uri=null;this.xsl=null}}\
+class Threshold extends OptionObject{constructor(e){super(Qo,"threshold",["trace","error","information","warning"])}}class To extends OptionObject{constructor(e){super(Qo,"to",["null","memory","stderr","stdout","system","uri"])}}class TemplateCache extends XFAObject{constructor(e){super(Qo,"templateCache");this.maxEntries=getInteger({data:e.maxEntries,defaultValue:5,validate:e=>e>=0})}}class Trace extends XFAObject{constructor(e){super(Qo,"trace",!0);this.area=new XFAObjectArray}}class Transform\
+ extends XFAObject{constructor(e){super(Qo,"transform",!0);this.groupParent=null;this.ifEmpty=null;this.nameAttr=null;this.picture=null;this.presence=null;this.rename=null;this.whitespace=null}}class Type extends OptionObject{constructor(e){super(Qo,"type",["none","ascii85","asciiHex","ccittfax","flate","lzw","runLength","native","xdp","mergedXDP"])}}class Uri extends StringObject{constructor(e){super(Qo,"uri")}}class config_Validate extends OptionObject{constructor(e){super(Qo,"validate",["preS\
+ubmit","prePrint","preExecute","preSave"])}}class ValidateApprovalSignatures extends ContentObject{constructor(e){super(Qo,"validateApprovalSignatures")}[hs](){this[ss]=this[ss].trim().split(/\\s+/).filter((e=>["docReady","postSign"].includes(e)))}}class ValidationMessaging extends OptionObject{constructor(e){super(Qo,"validationMessaging",["allMessagesIndividually","allMessagesTogether","firstMessageOnly","noMessages"])}}class Version extends OptionObject{constructor(e){super(Qo,"version",["1.7"\
+,"1.6","1.5","1.4","1.3","1.2"])}}class VersionControl extends XFAObject{constructor(e){super(Qo,"VersionControl");this.outputBelow=getStringOption(e.outputBelow,["warn","error","update"]);this.sourceAbove=getStringOption(e.sourceAbove,["warn","error"]);this.sourceBelow=getStringOption(e.sourceBelow,["update","maintain"])}}class ViewerPreferences extends XFAObject{constructor(e){super(Qo,"viewerPreferences",!0);this.ADBE_JSConsole=null;this.ADBE_JSDebugger=null;this.addViewerPreferences=null;thi\
+s.duplexOption=null;this.enforce=null;this.numberOfCopies=null;this.pageRange=null;this.pickTrayByPDFSize=null;this.printScaling=null}}class WebClient extends XFAObject{constructor(e){super(Qo,"webClient",!0);this.name=e.name?e.name.trim():"";this.fontInfo=null;this.xdc=null}}class Whitespace extends OptionObject{constructor(e){super(Qo,"whitespace",["preserve","ltrim","normalize","rtrim","trim"])}}class Window extends ContentObject{constructor(e){super(Qo,"window")}[hs](){const e=this[ss].split\
+(",",2).map((e=>parseInt(e.trim(),10)));if(e.some((e=>isNaN(e))))this[ss]=[0,0];else{1===e.length&&e.push(e[0]);this[ss]=e}}}class Xdc extends XFAObject{constructor(e){super(Qo,"xdc",!0);this.uri=new XFAObjectArray;this.xsl=new XFAObjectArray}}class Xdp extends XFAObject{constructor(e){super(Qo,"xdp",!0);this.packets=null}}class Xsl extends XFAObject{constructor(e){super(Qo,"xsl",!0);this.debug=null;this.uri=null}}class Zpl extends XFAObject{constructor(e){super(Qo,"zpl",!0);this.name=e.name?e.n\
+ame.trim():"";this.batchOutput=null;this.flipLabel=null;this.fontInfo=null;this.xdc=null}}class ConfigNamespace{static[fo](e,t){if(ConfigNamespace.hasOwnProperty(e))return ConfigNamespace[e](t)}static acrobat(e){return new Acrobat(e)}static acrobat7(e){return new Acrobat7(e)}static ADBE_JSConsole(e){return new ADBE_JSConsole(e)}static ADBE_JSDebugger(e){return new ADBE_JSDebugger(e)}static addSilentPrint(e){return new AddSilentPrint(e)}static addViewerPreferences(e){return new AddViewerPreferenc\
+es(e)}static adjustData(e){return new AdjustData(e)}static adobeExtensionLevel(e){return new AdobeExtensionLevel(e)}static agent(e){return new Agent(e)}static alwaysEmbed(e){return new AlwaysEmbed(e)}static amd(e){return new Amd(e)}static area(e){return new config_Area(e)}static attributes(e){return new Attributes(e)}static autoSave(e){return new AutoSave(e)}static base(e){return new Base(e)}static batchOutput(e){return new BatchOutput(e)}static behaviorOverride(e){return new BehaviorOverride(e)\
+}static cache(e){return new Cache(e)}static change(e){return new Change(e)}static common(e){return new Common(e)}static compress(e){return new Compress(e)}static compressLogicalStructure(e){return new CompressLogicalStructure(e)}static compressObjectStream(e){return new CompressObjectStream(e)}static compression(e){return new Compression(e)}static config(e){return new Config(e)}static conformance(e){return new Conformance(e)}static contentCopy(e){return new ContentCopy(e)}static copies(e){return\
+ new Copies(e)}static creator(e){return new Creator(e)}static currentPage(e){return new CurrentPage(e)}static data(e){return new Data(e)}static debug(e){return new Debug(e)}static defaultTypeface(e){return new DefaultTypeface(e)}static destination(e){return new Destination(e)}static documentAssembly(e){return new DocumentAssembly(e)}static driver(e){return new Driver(e)}static duplexOption(e){return new DuplexOption(e)}static dynamicRender(e){return new DynamicRender(e)}static embed(e){return ne\
+w Embed(e)}static encrypt(e){return new config_Encrypt(e)}static encryption(e){return new config_Encryption(e)}static encryptionLevel(e){return new EncryptionLevel(e)}static enforce(e){return new Enforce(e)}static equate(e){return new Equate(e)}static equateRange(e){return new EquateRange(e)}static exclude(e){return new Exclude(e)}static excludeNS(e){return new ExcludeNS(e)}static flipLabel(e){return new FlipLabel(e)}static fontInfo(e){return new config_FontInfo(e)}static formFieldFilling(e){ret\
+urn new FormFieldFilling(e)}static groupParent(e){return new GroupParent(e)}static ifEmpty(e){return new IfEmpty(e)}static includeXDPContent(e){return new IncludeXDPContent(e)}static incrementalLoad(e){return new IncrementalLoad(e)}static incrementalMerge(e){return new IncrementalMerge(e)}static interactive(e){return new Interactive(e)}static jog(e){return new Jog(e)}static labelPrinter(e){return new LabelPrinter(e)}static layout(e){return new Layout(e)}static level(e){return new Level(e)}static\
+ linearized(e){return new Linearized(e)}static locale(e){return new Locale(e)}static localeSet(e){return new LocaleSet(e)}static log(e){return new Log(e)}static map(e){return new MapElement(e)}static mediumInfo(e){return new MediumInfo(e)}static message(e){return new config_Message(e)}static messaging(e){return new Messaging(e)}static mode(e){return new Mode(e)}static modifyAnnots(e){return new ModifyAnnots(e)}static msgId(e){return new MsgId(e)}static nameAttr(e){return new NameAttr(e)}static n\
+everEmbed(e){return new NeverEmbed(e)}static numberOfCopies(e){return new NumberOfCopies(e)}static openAction(e){return new OpenAction(e)}static output(e){return new Output(e)}static outputBin(e){return new OutputBin(e)}static outputXSL(e){return new OutputXSL(e)}static overprint(e){return new Overprint(e)}static packets(e){return new Packets(e)}static pageOffset(e){return new PageOffset(e)}static pageRange(e){return new PageRange(e)}static pagination(e){return new Pagination(e)}static paginatio\
+nOverride(e){return new PaginationOverride(e)}static part(e){return new Part(e)}static pcl(e){return new Pcl(e)}static pdf(e){return new Pdf(e)}static pdfa(e){return new Pdfa(e)}static permissions(e){return new Permissions(e)}static pickTrayByPDFSize(e){return new PickTrayByPDFSize(e)}static picture(e){return new config_Picture(e)}static plaintextMetadata(e){return new PlaintextMetadata(e)}static presence(e){return new Presence(e)}static present(e){return new Present(e)}static print(e){return ne\
+w Print(e)}static printHighQuality(e){return new PrintHighQuality(e)}static printScaling(e){return new PrintScaling(e)}static printerName(e){return new PrinterName(e)}static producer(e){return new Producer(e)}static ps(e){return new Ps(e)}static range(e){return new Range(e)}static record(e){return new Record(e)}static relevant(e){return new Relevant(e)}static rename(e){return new Rename(e)}static renderPolicy(e){return new RenderPolicy(e)}static runScripts(e){return new RunScripts(e)}static scri\
+pt(e){return new config_Script(e)}static scriptModel(e){return new ScriptModel(e)}static severity(e){return new Severity(e)}static silentPrint(e){return new SilentPrint(e)}static staple(e){return new Staple(e)}static startNode(e){return new StartNode(e)}static startPage(e){return new StartPage(e)}static submitFormat(e){return new SubmitFormat(e)}static submitUrl(e){return new SubmitUrl(e)}static subsetBelow(e){return new SubsetBelow(e)}static suppressBanner(e){return new SuppressBanner(e)}static\
+ tagged(e){return new Tagged(e)}static template(e){return new config_Template(e)}static templateCache(e){return new TemplateCache(e)}static threshold(e){return new Threshold(e)}static to(e){return new To(e)}static trace(e){return new Trace(e)}static transform(e){return new Transform(e)}static type(e){return new Type(e)}static uri(e){return new Uri(e)}static validate(e){return new config_Validate(e)}static validateApprovalSignatures(e){return new ValidateApprovalSignatures(e)}static validationMes\
+saging(e){return new ValidationMessaging(e)}static version(e){return new Version(e)}static versionControl(e){return new VersionControl(e)}static viewerPreferences(e){return new ViewerPreferences(e)}static webClient(e){return new WebClient(e)}static whitespace(e){return new Whitespace(e)}static window(e){return new Window(e)}static xdc(e){return new Xdc(e)}static xdp(e){return new Xdp(e)}static xsl(e){return new Xsl(e)}static zpl(e){return new Zpl(e)}}const ec=go.connectionSet.id;class Connection\
+Set extends XFAObject{constructor(e){super(ec,"connectionSet",!0);this.wsdlConnection=new XFAObjectArray;this.xmlConnection=new XFAObjectArray;this.xsdConnection=new XFAObjectArray}}class EffectiveInputPolicy extends XFAObject{constructor(e){super(ec,"effectiveInputPolicy");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class EffectiveOutputPolicy extends XFAObject{constructor(e){super(ec,"effectiveOutputPolicy");this.id=e.id||"";this.name=e.name||"";this.us\
+e=e.use||"";this.usehref=e.usehref||""}}class Operation extends StringObject{constructor(e){super(ec,"operation");this.id=e.id||"";this.input=e.input||"";this.name=e.name||"";this.output=e.output||"";this.use=e.use||"";this.usehref=e.usehref||""}}class RootElement extends StringObject{constructor(e){super(ec,"rootElement");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAction extends StringObject{constructor(e){super(ec,"soapAction");this.id=e.id||\
+"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class SoapAddress extends StringObject{constructor(e){super(ec,"soapAddress");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class connection_set_Uri extends StringObject{constructor(e){super(ec,"uri");this.id=e.id||"";this.name=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlAddress extends StringObject{constructor(e){super(ec,"wsdlAddress");this.id=e.id||"";this.name\
+=e.name||"";this.use=e.use||"";this.usehref=e.usehref||""}}class WsdlConnection extends XFAObject{constructor(e){super(ec,"wsdlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.effectiveInputPolicy=null;this.effectiveOutputPolicy=null;this.operation=null;this.soapAction=null;this.soapAddress=null;this.wsdlAddress=null}}class XmlConnection extends XFAObject{constructor(e){super(ec,"xmlConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"\
+";this.uri=null}}class XsdConnection extends XFAObject{constructor(e){super(ec,"xsdConnection",!0);this.dataDescription=e.dataDescription||"";this.name=e.name||"";this.rootElement=null;this.uri=null}}class ConnectionSetNamespace{static[fo](e,t){if(ConnectionSetNamespace.hasOwnProperty(e))return ConnectionSetNamespace[e](t)}static connectionSet(e){return new ConnectionSet(e)}static effectiveInputPolicy(e){return new EffectiveInputPolicy(e)}static effectiveOutputPolicy(e){return new EffectiveOutpu\
+tPolicy(e)}static operation(e){return new Operation(e)}static rootElement(e){return new RootElement(e)}static soapAction(e){return new SoapAction(e)}static soapAddress(e){return new SoapAddress(e)}static uri(e){return new connection_set_Uri(e)}static wsdlAddress(e){return new WsdlAddress(e)}static wsdlConnection(e){return new WsdlConnection(e)}static xmlConnection(e){return new XmlConnection(e)}static xsdConnection(e){return new XsdConnection(e)}}const tc=go.datasets.id;class datasets_Data exten\
+ds XmlObject{constructor(e){super(tc,"data",e)}[Ls](){return!0}}class Datasets extends XFAObject{constructor(e){super(tc,"datasets",!0);this.data=null;this.Signature=null}[$s](e){const t=e[Ws];("data"===t&&e[Hs]===tc||"Signature"===t&&e[Hs]===go.signature.id)&&(this[t]=e);this[Qn](e)}}class DatasetsNamespace{static[fo](e,t){if(DatasetsNamespace.hasOwnProperty(e))return DatasetsNamespace[e](t)}static datasets(e){return new Datasets(e)}static data(e){return new datasets_Data(e)}}const ac=go.locale\
+Set.id;class CalendarSymbols extends XFAObject{constructor(e){super(ac,"calendarSymbols",!0);this.name="gregorian";this.dayNames=new XFAObjectArray(2);this.eraNames=null;this.meridiemNames=null;this.monthNames=new XFAObjectArray(2)}}class CurrencySymbol extends StringObject{constructor(e){super(ac,"currencySymbol");this.name=getStringOption(e.name,["symbol","isoname","decimal"])}}class CurrencySymbols extends XFAObject{constructor(e){super(ac,"currencySymbols",!0);this.currencySymbol=new XFAObje\
+ctArray(3)}}class DatePattern extends StringObject{constructor(e){super(ac,"datePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class DatePatterns extends XFAObject{constructor(e){super(ac,"datePatterns",!0);this.datePattern=new XFAObjectArray(4)}}class DateTimeSymbols extends ContentObject{constructor(e){super(ac,"dateTimeSymbols")}}class Day extends StringObject{constructor(e){super(ac,"day")}}class DayNames extends XFAObject{constructor(e){super(ac,"dayNames",!0);th\
+is.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.day=new XFAObjectArray(7)}}class Era extends StringObject{constructor(e){super(ac,"era")}}class EraNames extends XFAObject{constructor(e){super(ac,"eraNames",!0);this.era=new XFAObjectArray(2)}}class locale_set_Locale extends XFAObject{constructor(e){super(ac,"locale",!0);this.desc=e.desc||"";this.name="isoname";this.calendarSymbols=null;this.currencySymbols=null;this.datePatterns=null;this.dateTimeSymbols=null;this.numberPa\
+tterns=null;this.numberSymbols=null;this.timePatterns=null;this.typeFaces=null}}class locale_set_LocaleSet extends XFAObject{constructor(e){super(ac,"localeSet",!0);this.locale=new XFAObjectArray}}class Meridiem extends StringObject{constructor(e){super(ac,"meridiem")}}class MeridiemNames extends XFAObject{constructor(e){super(ac,"meridiemNames",!0);this.meridiem=new XFAObjectArray(2)}}class Month extends StringObject{constructor(e){super(ac,"month")}}class MonthNames extends XFAObject{construct\
+or(e){super(ac,"monthNames",!0);this.abbr=getInteger({data:e.abbr,defaultValue:0,validate:e=>1===e});this.month=new XFAObjectArray(12)}}class NumberPattern extends StringObject{constructor(e){super(ac,"numberPattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class NumberPatterns extends XFAObject{constructor(e){super(ac,"numberPatterns",!0);this.numberPattern=new XFAObjectArray(4)}}class NumberSymbol extends StringObject{constructor(e){super(ac,"numberSymbol");this.name=g\
+etStringOption(e.name,["decimal","grouping","percent","minus","zero"])}}class NumberSymbols extends XFAObject{constructor(e){super(ac,"numberSymbols",!0);this.numberSymbol=new XFAObjectArray(5)}}class TimePattern extends StringObject{constructor(e){super(ac,"timePattern");this.name=getStringOption(e.name,["full","long","med","short"])}}class TimePatterns extends XFAObject{constructor(e){super(ac,"timePatterns",!0);this.timePattern=new XFAObjectArray(4)}}class TypeFace extends XFAObject{construct\
+or(e){super(ac,"typeFace",!0);this.name=""|e.name}}class TypeFaces extends XFAObject{constructor(e){super(ac,"typeFaces",!0);this.typeFace=new XFAObjectArray}}class LocaleSetNamespace{static[fo](e,t){if(LocaleSetNamespace.hasOwnProperty(e))return LocaleSetNamespace[e](t)}static calendarSymbols(e){return new CalendarSymbols(e)}static currencySymbol(e){return new CurrencySymbol(e)}static currencySymbols(e){return new CurrencySymbols(e)}static datePattern(e){return new DatePattern(e)}static datePat\
+terns(e){return new DatePatterns(e)}static dateTimeSymbols(e){return new DateTimeSymbols(e)}static day(e){return new Day(e)}static dayNames(e){return new DayNames(e)}static era(e){return new Era(e)}static eraNames(e){return new EraNames(e)}static locale(e){return new locale_set_Locale(e)}static localeSet(e){return new locale_set_LocaleSet(e)}static meridiem(e){return new Meridiem(e)}static meridiemNames(e){return new MeridiemNames(e)}static month(e){return new Month(e)}static monthNames(e){retur\
+n new MonthNames(e)}static numberPattern(e){return new NumberPattern(e)}static numberPatterns(e){return new NumberPatterns(e)}static numberSymbol(e){return new NumberSymbol(e)}static numberSymbols(e){return new NumberSymbols(e)}static timePattern(e){return new TimePattern(e)}static timePatterns(e){return new TimePatterns(e)}static typeFace(e){return new TypeFace(e)}static typeFaces(e){return new TypeFaces(e)}}const rc=go.signature.id;class signature_Signature extends XFAObject{constructor(e){sup\
+er(rc,"signature",!0)}}class SignatureNamespace{static[fo](e,t){if(SignatureNamespace.hasOwnProperty(e))return SignatureNamespace[e](t)}static signature(e){return new signature_Signature(e)}}const ic=go.stylesheet.id;class Stylesheet extends XFAObject{constructor(e){super(ic,"stylesheet",!0)}}class StylesheetNamespace{static[fo](e,t){if(StylesheetNamespace.hasOwnProperty(e))return StylesheetNamespace[e](t)}static stylesheet(e){return new Stylesheet(e)}}const nc=go.xdp.id;class xdp_Xdp extends XF\
+AObject{constructor(e){super(nc,"xdp",!0);this.uuid=e.uuid||"";this.timeStamp=e.timeStamp||"";this.config=null;this.connectionSet=null;this.datasets=null;this.localeSet=null;this.stylesheet=new XFAObjectArray;this.template=null}[Gs](e){const t=go[e[Ws]];return t&&e[Hs]===t.id}}class XdpNamespace{static[fo](e,t){if(XdpNamespace.hasOwnProperty(e))return XdpNamespace[e](t)}static xdp(e){return new xdp_Xdp(e)}}const sc=go.xhtml.id,oc=Symbol(),cc=new Set(["color","font","font-family","font-size","fon\
+t-stretch","font-style","font-weight","margin","margin-bottom","margin-left","margin-right","margin-top","letter-spacing","line-height","orphans","page-break-after","page-break-before","page-break-inside","tab-interval","tab-stop","text-align","text-decoration","text-indent","vertical-align","widows","kerning-mode","xfa-font-horizontal-scale","xfa-font-vertical-scale","xfa-spacerun","xfa-tab-stops"]),lc=new Map([["page-break-after","breakAfter"],["page-break-before","breakBefore"],["page-break-i\
+nside","breakInside"],["kerning-mode",e=>"none"===e?"none":"normal"],["xfa-font-horizontal-scale",e=>`scaleX(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-font-vertical-scale",e=>`scaleY(${Math.max(0,parseInt(e)/100).toFixed(2)})`],["xfa-spacerun",""],["xfa-tab-stops",""],["font-size",(e,t)=>measureToString(.99*(e=t.fontSize=Math.abs(getMeasurement(e))))],["letter-spacing",e=>measureToString(getMeasurement(e))],["line-height",e=>measureToString(getMeasurement(e))],["margin",e=>measureToStri\
+ng(getMeasurement(e))],["margin-bottom",e=>measureToString(getMeasurement(e))],["margin-left",e=>measureToString(getMeasurement(e))],["margin-right",e=>measureToString(getMeasurement(e))],["margin-top",e=>measureToString(getMeasurement(e))],["text-indent",e=>measureToString(getMeasurement(e))],["font-family",e=>e],["vertical-align",e=>measureToString(getMeasurement(e))]]),hc=/\\s+/g,uc=/[\\r\\n]+/g,dc=/\\r\\n?/g;function mapStyle(e,t,a){const r=Object.create(null);if(!e)return r;const i=Object.create\
+(null);for(const[t,a]of e.split(";").map((e=>e.split(":",2)))){const e=lc.get(t);if(""===e)continue;let n=a;e&&(n="string"==typeof e?e:e(a,i));t.endsWith("scale")?r.transform=r.transform?`${r[t]} ${n}`:n:r[t.replaceAll(/-([a-zA-Z])/g,((e,t)=>t.toUpperCase()))]=n}r.fontFamily&&setFontFamily({typeface:r.fontFamily,weight:r.fontWeight||"normal",posture:r.fontStyle||"normal",size:i.fontSize||0},t,t[Is].fontFinder,r);if(a&&r.verticalAlign&&"0px"!==r.verticalAlign&&r.fontSize){const e=.583,t=.333,a=ge\
+tMeasurement(r.fontSize);r.fontSize=measureToString(a*e);r.verticalAlign=measureToString(Math.sign(getMeasurement(r.verticalAlign))*a*t)}a&&r.fontSize&&(r.fontSize=`calc(${r.fontSize} * var(--total-scale-factor))`);fixTextIndent(r);return r}const fc=new Set(["body","html"]);class XhtmlObject extends XmlObject{constructor(e,t){super(sc,t);this[oc]=!1;this.style=e.style||""}[ts](e){super[ts](e);this.style=function checkStyle(e){return e.style?e.style.split(";").filter((e=>!!e.trim())).map((e=>e.sp\
+lit(":",2).map((e=>e.trim())))).filter((([t,a])=>{"font-family"===t&&e[Is].usedTypefaces.add(a);return cc.has(t)})).map((e=>e.join(":"))).join(";"):""}(this)}[Yn](){return!fc.has(this[Ws])}[Vs](e,t=!1){if(t)this[oc]=!0;else{e=e.replaceAll(uc,"");this.style.includes("xfa-spacerun:yes")||(e=e.replaceAll(hc," "))}e&&(this[ss]+=e)}[Ks](e,t=!0){const a=Object.create(null),r={top:NaN,bottom:NaN,left:NaN,right:NaN};let i=null;for(const[e,t]of this.style.split(";").map((e=>e.split(":",2))))switch(e){cas\
+e"font-family":a.typeface=stripQuotes(t);break;case"font-size":a.size=getMeasurement(t);break;case"font-weight":a.weight=t;break;case"font-style":a.posture=t;break;case"letter-spacing":a.letterSpacing=getMeasurement(t);break;case"margin":const e=t.split(/ \\t/).map((e=>getMeasurement(e)));switch(e.length){case 1:r.top=r.bottom=r.left=r.right=e[0];break;case 2:r.top=r.bottom=e[0];r.left=r.right=e[1];break;case 3:r.top=e[0];r.bottom=e[2];r.left=r.right=e[1];break;case 4:r.top=e[0];r.left=e[1];r.bot\
+tom=e[2];r.right=e[3]}break;case"margin-top":r.top=getMeasurement(t);break;case"margin-bottom":r.bottom=getMeasurement(t);break;case"margin-left":r.left=getMeasurement(t);break;case"margin-right":r.right=getMeasurement(t);break;case"line-height":i=getMeasurement(t)}e.pushData(a,r,i);if(this[ss])e.addString(this[ss]);else for(const t of this[Ss]())"#text"!==t[Ws]?t[Ks](e):e.addString(t[ss]);t&&e.popFont()}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length&&!this[ss])return HTML\
+Result.EMPTY;let a;a=this[oc]?this[ss]?this[ss].replaceAll(dc,"\\n"):void 0:this[ss]||void 0;return HTMLResult.success({name:this[Ws],attributes:{href:this.href,style:mapStyle(this.style,this,this[oc])},children:t,value:a})}}class A extends XhtmlObject{constructor(e){super(e,"a");this.href=fixURL(e.href)||""}}class B extends XhtmlObject{constructor(e){super(e,"b")}[Ks](e){e.pushFont({weight:"bold"});super[Ks](e);e.popFont()}}class Body extends XhtmlObject{constructor(e){super(e,"body")}[co](e){co\
+nst t=super[co](e),{html:a}=t;if(!a)return HTMLResult.EMPTY;a.name="div";a.attributes.class=["xfaRich"];return t}}class Br extends XhtmlObject{constructor(e){super(e,"br")}[so](){return"\\n"}[Ks](e){e.addString("\\n")}[co](e){return HTMLResult.success({name:"br"})}}class Html extends XhtmlObject{constructor(e){super(e,"html")}[co](e){const t=[];this[ls]={children:t};this[es]({});if(0===t.length)return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},value:this[ss]||""});if(1=\
+==t.length){const e=t[0];if(e.attributes?.class.includes("xfaRich"))return HTMLResult.success(e)}return HTMLResult.success({name:"div",attributes:{class:["xfaRich"],style:{}},children:t})}}class I extends XhtmlObject{constructor(e){super(e,"i")}[Ks](e){e.pushFont({posture:"italic"});super[Ks](e);e.popFont()}}class Li extends XhtmlObject{constructor(e){super(e,"li")}}class Ol extends XhtmlObject{constructor(e){super(e,"ol")}}class P extends XhtmlObject{constructor(e){super(e,"p")}[Ks](e){super[Ks\
+](e,!1);e.addString("\\n");e.addPara();e.popFont()}[so](){return this[vs]()[Ss]().at(-1)===this?super[so]():super[so]()+"\\n"}}class Span extends XhtmlObject{constructor(e){super(e,"span")}}class Sub extends XhtmlObject{constructor(e){super(e,"sub")}}class Sup extends XhtmlObject{constructor(e){super(e,"sup")}}class Ul extends XhtmlObject{constructor(e){super(e,"ul")}}class XhtmlNamespace{static[fo](e,t){if(XhtmlNamespace.hasOwnProperty(e))return XhtmlNamespace[e](t)}static a(e){return new A(e)}st\
+atic b(e){return new B(e)}static body(e){return new Body(e)}static br(e){return new Br(e)}static html(e){return new Html(e)}static i(e){return new I(e)}static li(e){return new Li(e)}static ol(e){return new Ol(e)}static p(e){return new P(e)}static span(e){return new Span(e)}static sub(e){return new Sub(e)}static sup(e){return new Sup(e)}static ul(e){return new Ul(e)}}const gc={config:ConfigNamespace,connection:ConnectionSetNamespace,datasets:DatasetsNamespace,localeSet:LocaleSetNamespace,signatur\
+e:SignatureNamespace,stylesheet:StylesheetNamespace,template:TemplateNamespace,xdp:XdpNamespace,xhtml:XhtmlNamespace};class UnknownNamespace{constructor(e){this.namespaceId=e}[fo](e,t){return new XmlObject(this.namespaceId,e,t)}}class Root extends XFAObject{constructor(e){super(-1,"root",Object.create(null));this.element=null;this[Os]=e}[$s](e){this.element=e;return!0}[hs](){super[hs]();if(this.element.template instanceof Template){this[Os].set(Qs,this.element);this.element.template[eo](this[Os]\
+);this.element.template[Os]=this[Os]}}}class Empty extends XFAObject{constructor(){super(-1,"",Object.create(null))}[$s](e){return!1}}class Builder{constructor(e=null){this._namespaceStack=[];this._nsAgnosticLevel=0;this._namespacePrefixes=new Map;this._namespaces=new Map;this._nextNsId=Math.max(...Object.values(go).map((({id:e})=>e)));this._currentNamespace=e||new UnknownNamespace(++this._nextNsId)}buildRoot(e){return new Root(e)}build({nsPrefix:e,name:t,attributes:a,namespace:r,prefixes:i}){co\
+nst n=null!==r;if(n){this._namespaceStack.push(this._currentNamespace);this._currentNamespace=this._searchNamespace(r)}i&&this._addNamespacePrefix(i);if(a.hasOwnProperty(zs)){const e=gc.datasets,t=a[zs];let r=null;for(const[a,i]of Object.entries(t)){if(this._getNamespaceToUse(a)===e){r={xfa:i};break}}r?a[zs]=r:delete a[zs]}const s=this._getNamespaceToUse(e),o=s?.[fo](t,a)||new Empty;o[Ls]()&&this._nsAgnosticLevel++;(n||i||o[Ls]())&&(o[rs]={hasNamespace:n,prefixes:i,nsAgnostic:o[Ls]()});return o}\
+isNsAgnostic(){return this._nsAgnosticLevel>0}_searchNamespace(e){let t=this._namespaces.get(e);if(t)return t;for(const[a,{check:r}]of Object.entries(go))if(r(e)){t=gc[a];if(t){this._namespaces.set(e,t);return t}break}t=new UnknownNamespace(++this._nextNsId);this._namespaces.set(e,t);return t}_addNamespacePrefix(e){for(const{prefix:t,value:a}of e){const e=this._searchNamespace(a);let r=this._namespacePrefixes.get(t);if(!r){r=[];this._namespacePrefixes.set(t,r)}r.push(e)}}_getNamespaceToUse(e){if\
+(!e)return this._currentNamespace;const t=this._namespacePrefixes.get(e);if(t?.length>0)return t.at(-1);warn(`Unknown namespace prefix: ${e}.`);return null}clean(e){const{hasNamespace:t,prefixes:a,nsAgnostic:r}=e;t&&(this._currentNamespace=this._namespaceStack.pop());a&&a.forEach((({prefix:e})=>{this._namespacePrefixes.get(e).pop()}));r&&this._nsAgnosticLevel--}}class XFAParser extends XMLParserBase{constructor(e=null,t=!1){super();this._builder=new Builder(e);this._stack=[];this._globalData={us\
+edTypefaces:new Set};this._ids=new Map;this._current=this._builder.buildRoot(this._ids);this._errorCode=jn;this._whiteRegex=/^\\s+$/;this._nbsps=/\\xa0+/g;this._richText=t}parse(e){this.parseXml(e);if(this._errorCode===jn){this._current[hs]();return this._current.element}}onText(e){e=e.replace(this._nbsps,(e=>e.slice(1)+" "));this._richText||this._current[Yn]()?this._current[Vs](e,this._richText):this._whiteRegex.test(e)||this._current[Vs](e.trim())}onCdata(e){this._current[Vs](e)}_mkAttributes(e,\
+t){let a=null,r=null;const i=Object.create({});for(const{name:n,value:s}of e)if("xmlns"===n)a?warn(`XFA - multiple namespace definition in <${t}>`):a=s;else if(n.startsWith("xmlns:")){const e=n.substring(6);r??=[];r.push({prefix:e,value:s})}else{const e=n.indexOf(":");if(-1===e)i[n]=s;else{const t=i[zs]??=Object.create(null),[a,r]=[n.slice(0,e),n.slice(e+1)];(t[a]||=Object.create(null))[r]=s}}return[a,r,i]}_getNameAndPrefix(e,t){const a=e.indexOf(":");return-1===a?[e,null]:[e.substring(a+1),t?""\
+:e.substring(0,a)]}onBeginElement(e,t,a){const[r,i,n]=this._mkAttributes(t,e),[s,o]=this._getNameAndPrefix(e,this._builder.isNsAgnostic()),c=this._builder.build({nsPrefix:o,name:s,attributes:n,namespace:r,prefixes:i});c[Is]=this._globalData;if(a){c[hs]();this._current[$s](c)&&c[ao](this._ids);c[ts](this._builder)}else{this._stack.push(this._current);this._current=c}}onEndElement(e){const t=this._current;if(t[Bs]()&&"string"==typeof t[ss]){const e=new XFAParser;e._globalData=this._globalData;cons\
+t a=e.parse(t[ss]);t[ss]=null;t[$s](a)}t[hs]();this._current=this._stack.pop();this._current[$s](t)&&t[ao](this._ids);t[ts](this._builder)}onError(e){this._errorCode=e}}class XFAFactory{constructor(e){try{this.root=(new XFAParser).parse(XFAFactory._createDocument(e));const t=new Binder(this.root);this.form=t.bind();this.dataHandler=new DataHandler(this.root,t.getData());this.form[Is].template=this.form}catch(e){warn(`XFA - an error occurred during parsing and binding: ${e}`)}}isValid(){return!(!\
+this.root||!this.form)}_createPagesHelper(){const e=this.form[oo]();return new Promise(((t,a)=>{const nextIteration=()=>{try{const a=e.next();a.done?t(a.value):setTimeout(nextIteration,0)}catch(e){a(e)}};setTimeout(nextIteration,0)}))}async _createPages(){try{this.pages=await this._createPagesHelper();this.dims=this.pages.children.map((e=>{const{width:t,height:a}=e.attributes.style;return[0,0,parseInt(t),parseInt(a)]}))}catch(e){warn(`XFA - an error occurred during layout: ${e}`)}}getBoundingBox\
+(e){return this.dims[e]}async getNumPages(){this.pages||await this._createPages();return this.dims.length}setImages(e){this.form[Is].images=e}setFonts(e){this.form[Is].fontFinder=new FontFinder(e);const t=[];for(let e of this.form[Is].usedTypefaces){e=stripQuotes(e);this.form[Is].fontFinder.find(e)||t.push(e)}return t.length>0?t:null}appendFonts(e,t){this.form[Is].fontFinder.add(e,t)}async getPages(){this.pages||await this._createPages();const e=this.pages;this.pages=null;return e}serializeData(\
+e){return this.dataHandler.serialize(e)}static _createDocument(e){return e["/xdp:xdp"]?Object.values(e).join(""):e["xdp:xdp"]}static getRichTextAsHtml(e){if(!e||"string"!=typeof e)return null;try{let t=new XFAParser(XhtmlNamespace,!0).parse(e);if(!["body","xhtml"].includes(t[Ws])){const e=XhtmlNamespace.body({});e[Qn](t);t=e}const a=t[co]();if(!a.success)return null;const{html:r}=a,{attributes:i}=r;if(i){i.class&&(i.class=i.class.filter((e=>!e.startsWith("xfa"))));i.dir="auto"}return{html:r,str:\
+t[so]()}}catch(e){warn(`XFA - an error occurred during parsing of rich text: ${e}`)}return null}}class AnnotationFactory{static createGlobals(e){return Promise.all([e.ensureCatalog("acroForm"),e.ensureDoc("xfaDatasets"),e.ensureCatalog("structTreeRoot"),e.ensureCatalog("baseUrl"),e.ensureCatalog("attachments"),e.ensureCatalog("globalColorSpaceCache")]).then((([t,a,r,i,n,s])=>({pdfManager:e,acroForm:t instanceof Dict?t:Dict.empty,xfaDatasets:a,structTreeRoot:r,baseUrl:i,attachments:n,globalColorS\
+paceCache:s})),(e=>{warn(`createGlobals: "${e}".`);return null}))}static async create(e,t,a,r,i,n,s){const o=i?await this._getPageIndex(e,t,a.pdfManager):null;return a.pdfManager.ensure(this,"_create",[e,t,a,r,i,n,o,s])}static _create(e,t,a,r,i=!1,n=null,s=null,o=null){const c=e.fetchIfRef(t);if(!(c instanceof Dict))return;const{acroForm:l,pdfManager:h}=a,u=t instanceof Ref?t.toString():`annot_${r.createObjId()}`;let d=c.get("Subtype");d=d instanceof Name?d.name:null;const f={xref:e,ref:t,dict:c\
+,subtype:d,id:u,annotationGlobals:a,collectFields:i,orphanFields:n,needAppearances:!i&&!0===l.get("NeedAppearances"),pageIndex:s,evaluatorOptions:h.evaluatorOptions,pageRef:o};switch(d){case"Link":return new LinkAnnotation(f);case"Text":return new TextAnnotation(f);case"Widget":let e=getInheritableProperty({dict:c,key:"FT"});e=e instanceof Name?e.name:null;switch(e){case"Tx":return new TextWidgetAnnotation(f);case"Btn":return new ButtonWidgetAnnotation(f);case"Ch":return new ChoiceWidgetAnnotati\
+on(f);case"Sig":return new SignatureWidgetAnnotation(f)}warn(`Unimplemented widget field type "${e}", falling back to base field type.`);return new WidgetAnnotation(f);case"Popup":return new PopupAnnotation(f);case"FreeText":return new FreeTextAnnotation(f);case"Line":return new LineAnnotation(f);case"Square":return new SquareAnnotation(f);case"Circle":return new CircleAnnotation(f);case"PolyLine":return new PolylineAnnotation(f);case"Polygon":return new PolygonAnnotation(f);case"Caret":return n\
+ew CaretAnnotation(f);case"Ink":return new InkAnnotation(f);case"Highlight":return new HighlightAnnotation(f);case"Underline":return new UnderlineAnnotation(f);case"Squiggly":return new SquigglyAnnotation(f);case"StrikeOut":return new StrikeOutAnnotation(f);case"Stamp":return new StampAnnotation(f);case"FileAttachment":return new FileAttachmentAnnotation(f);default:i||warn(d?`Unimplemented annotation type "${d}", falling back to base annotation.`:"Annotation is missing the required /Subtype.");r\
+eturn new Annotation(f)}}static async _getPageIndex(e,t,a){try{const r=await e.fetchIfRefAsync(t);if(!(r instanceof Dict))return-1;const i=r.getRaw("P");if(i instanceof Ref)try{return await a.ensureCatalog("getPageIndex",[i])}catch(e){info(`_getPageIndex -- not a valid page reference: "${e}".`)}if(r.has("Kids"))return-1;const n=await a.ensureDoc("numPages");for(let e=0;e<n;e++){const r=await a.getPage(e),i=await a.ensure(r,"annotations");for(const a of i)if(a instanceof Ref&&isRefsEqual(a,t))ret\
+urn e}}catch(e){warn(`_getPageIndex: "${e}".`)}return-1}static generateImages(e,t,a){if(!a){warn("generateImages: OffscreenCanvas is not supported, cannot save or print some annotations with images.");return null}let r;for(const{bitmapId:a,bitmap:i}of e)if(i){r||=new Map;r.set(a,StampAnnotation.createImage(i,t))}return r}static async saveNewAnnotations(e,t,a,r,i){const n=e.xref;let s;const o=[],{isOffscreenCanvasSupported:c}=e.options;for(const l of a)if(!l.deleted)switch(l.annotationType){case \
+g:if(!s){const e=new Dict(n);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");s=n.getNewTemporaryRef();i.put(s,{data:e})}o.push(FreeTextAnnotation.createNewAnnotation(n,l,i,{evaluator:e,task:t,baseFontRef:s}));break;case p:l.quadPoints?o.push(HighlightAnnotation.createNewAnnotation(n,l,i)):o.push(InkAnnotation.createNewAnnotation(n,l,i));break;case b:o.push(InkAnnotation.createNewAnnotation(n,l,i));break;case \
+m:const a=c?await(r?.get(l.bitmapId)):null;if(a?.imageStream){const{imageStream:e,smaskStream:t}=a;if(t){const a=n.getNewTemporaryRef();i.put(a,{data:t});e.dict.set("SMask",a)}const r=a.imageRef=n.getNewTemporaryRef();i.put(r,{data:e});a.imageStream=a.smaskStream=null}o.push(StampAnnotation.createNewAnnotation(n,l,i,{image:a}));break;case y:o.push(StampAnnotation.createNewAnnotation(n,l,i,{}))}return{annotations:(await Promise.all(o)).flat()}}static async printNewAnnotations(e,t,a,r,i){if(!r)ret\
+urn null;const{options:n,xref:s}=t,o=[];for(const c of r)if(!c.deleted)switch(c.annotationType){case g:o.push(FreeTextAnnotation.createNewPrintAnnotation(e,s,c,{evaluator:t,task:a,evaluatorOptions:n}));break;case p:c.quadPoints?o.push(HighlightAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n})):o.push(InkAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case b:o.push(InkAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}));break;case m:const r=n.isOff\
+screenCanvasSupported?await(i?.get(c.bitmapId)):null;if(r?.imageStream){const{imageStream:e,smaskStream:t}=r;t&&e.dict.set("SMask",t);r.imageRef=new JpegStream(e,e.length);r.imageStream=r.smaskStream=null}o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{image:r,evaluatorOptions:n}));break;case y:o.push(StampAnnotation.createNewPrintAnnotation(e,s,c,{evaluatorOptions:n}))}return Promise.all(o)}}function getRgbColor(e,t=new Uint8ClampedArray(3)){if(!Array.isArray(e))return t;const a=t||new U\
+int8ClampedArray(3);switch(e.length){case 0:return null;case 1:ColorSpaceUtils.gray.getRgbItem(e,0,a,0);return a;case 3:ColorSpaceUtils.rgb.getRgbItem(e,0,a,0);return a;case 4:ColorSpaceUtils.cmyk.getRgbItem(e,0,a,0);return a;default:return t}}function getPdfColorArray(e,t=null){return e&&Array.from(e,(e=>e/255))||t}function getQuadPoints(e,t){const a=e.getArray("QuadPoints");if(!isNumberArray(a,null)||0===a.length||a.length%8>0)return null;const r=new Float32Array(a.length);for(let e=0,i=a.leng\
+th;e<i;e+=8){const[i,n,s,o,c,l,h,u]=a.slice(e,e+8),d=Math.min(i,s,c,h),f=Math.max(i,s,c,h),g=Math.min(n,o,l,u),p=Math.max(n,o,l,u);if(null!==t&&(d<t[0]||f>t[2]||g<t[1]||p>t[3]))return null;r.set([d,p,f,p,d,g,f,g],e)}return r}function getTransformMatrix(e,t,a){const r=new Float32Array([1/0,1/0,-1/0,-1/0]);Util.axialAlignedBoundingBox(t,a,r);const[i,n,s,o]=r;if(i===s||n===o)return[1,0,0,1,e[0],e[1]];const c=(e[2]-e[0])/(s-i),l=(e[3]-e[1])/(o-n);return[c,0,0,l,e[0]-i*c,e[1]-n*l]}class Annotation{co\
+nstructor(e){const{dict:t,xref:a,annotationGlobals:r,ref:i,orphanFields:n}=e,s=n?.get(i);s&&t.set("Parent",s);this.setTitle(t.get("T"));this.setContents(t.get("Contents"));this.setModificationDate(t.get("M"));this.setFlags(t.get("F"));this.setRectangle(t.getArray("Rect"));this.setColor(t.getArray("C"));this.setBorderStyle(t);this.setAppearance(t);this.setOptionalContent(t);const o=t.get("MK");this.setBorderAndBackgroundColors(o);this.setRotation(o,t);this.ref=e.ref instanceof Ref?e.ref:null;this\
+._streams=[];this.appearance&&this._streams.push(this.appearance);const c=!!(this.flags&ee),l=!!(this.flags&te);this.data={annotationFlags:this.flags,borderStyle:this.borderStyle,color:this.color,backgroundColor:this.backgroundColor,borderColor:this.borderColor,rotation:this.rotation,contentsObj:this._contents,hasAppearance:!!this.appearance,id:e.id,modificationDate:this.modificationDate,rect:this.rectangle,subtype:e.subtype,hasOwnCanvas:!1,noRotate:!!(this.flags&Z),noHTML:c&&l,isEditable:!1,str\
+uctParent:-1};if(r.structTreeRoot){let a=t.get("StructParent");this.data.structParent=a=Number.isInteger(a)&&a>=0?a:-1;r.structTreeRoot.addAnnotationIdToPage(e.pageRef,a)}if(e.collectFields){const r=t.get("Kids");if(Array.isArray(r)){const e=[];for(const t of r)t instanceof Ref&&e.push(t.toString());0!==e.length&&(this.data.kidIds=e)}this.data.actions=collectActions(a,t,ye);this.data.fieldName=this._constructFieldName(t);this.data.pageIndex=e.pageIndex}const h=t.get("IT");h instanceof Name&&(thi\
+s.data.it=h.name);this._isOffscreenCanvasSupported=e.evaluatorOptions.isOffscreenCanvasSupported;this._fallbackFontDict=null;this._needAppearances=!1}_hasFlag(e,t){return!!(e&t)}_buildFlags(e,t){let{flags:a}=this;if(void 0===e){if(void 0===t)return;return t?a&~Y:a&~J|Y}if(e){a|=Y;return t?a&~Q|J:a&~J|Q}a&=~(J|Q);return t?a&~Y:a|Y}_isViewable(e){return!this._hasFlag(e,K)&&!this._hasFlag(e,Q)}_isPrintable(e){return this._hasFlag(e,Y)&&!this._hasFlag(e,J)&&!this._hasFlag(e,K)}mustBeViewed(e,t){cons\
+t a=e?.get(this.data.id)?.noView;return void 0!==a?!a:this.viewable&&!this._hasFlag(this.flags,J)}mustBePrinted(e){const t=e?.get(this.data.id)?.noPrint;return void 0!==t?!t:this.printable}mustBeViewedWhenEditing(e,t=null){return e?!this.data.isEditable:!t?.has(this.data.id)}get viewable(){return null!==this.data.quadPoints&&(0===this.flags||this._isViewable(this.flags))}get printable(){return null!==this.data.quadPoints&&(0!==this.flags&&this._isPrintable(this.flags))}_parseStringHelper(e){cons\
+t t="string"==typeof e?stringToPDFString(e):"";return{str:t,dir:t&&"rtl"===bidi(t).dir?"rtl":"ltr"}}setDefaultAppearance(e){const{dict:t,annotationGlobals:a}=e,r=getInheritableProperty({dict:t,key:"DA"})||a.acroForm.get("DA");this._defaultAppearance="string"==typeof r?r:"";this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance)}setTitle(e){this._title=this._parseStringHelper(e)}setContents(e){this._contents=this._parseStringHelper(e)}setModificationDate(e){this.modificati\
+onDate="string"==typeof e?e:null}setFlags(e){this.flags=Number.isInteger(e)&&e>0?e:0;this.flags&K&&"Annotation"!==this.constructor.name&&(this.flags^=K)}hasFlag(e){return this._hasFlag(this.flags,e)}setRectangle(e){this.rectangle=lookupNormalRect(e,[0,0,0,0])}setColor(e){this.color=getRgbColor(e)}setLineEndings(e){this.lineEndings=["None","None"];if(Array.isArray(e)&&2===e.length)for(let t=0;t<2;t++){const a=e[t];if(a instanceof Name)switch(a.name){case"None":continue;case"Square":case"Circle":c\
+ase"Diamond":case"OpenArrow":case"ClosedArrow":case"Butt":case"ROpenArrow":case"RClosedArrow":case"Slash":this.lineEndings[t]=a.name;continue}warn(`Ignoring invalid lineEnding: ${a}`)}}setRotation(e,t){this.rotation=0;let a=e instanceof Dict?e.get("R")||0:t.get("Rotate")||0;if(Number.isInteger(a)&&0!==a){a%=360;a<0&&(a+=360);a%90==0&&(this.rotation=a)}}setBorderAndBackgroundColors(e){if(e instanceof Dict){this.borderColor=getRgbColor(e.getArray("BC"),null);this.backgroundColor=getRgbColor(e.getA\
+rray("BG"),null)}else this.borderColor=this.backgroundColor=null}setBorderStyle(e){this.borderStyle=new AnnotationBorderStyle;if(e instanceof Dict)if(e.has("BS")){const t=e.get("BS");if(t instanceof Dict){const e=t.get("Type");if(!e||isName(e,"Border")){this.borderStyle.setWidth(t.get("W"),this.rectangle);this.borderStyle.setStyle(t.get("S"));this.borderStyle.setDashArray(t.getArray("D"))}}}else if(e.has("Border")){const t=e.getArray("Border");if(Array.isArray(t)&&t.length>=3){this.borderStyle.s\
+etHorizontalCornerRadius(t[0]);this.borderStyle.setVerticalCornerRadius(t[1]);this.borderStyle.setWidth(t[2],this.rectangle);4===t.length&&this.borderStyle.setDashArray(t[3],!0)}}else this.borderStyle.setWidth(0)}setAppearance(e){this.appearance=null;const t=e.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(a instanceof BaseStream){this.appearance=a;return}if(!(a instanceof Dict))return;const r=e.get("AS");if(!(r instanceof Name&&a.has(r.name)))return;const i=a.get(r.name);i insta\
+nceof BaseStream&&(this.appearance=i)}setOptionalContent(e){this.oc=null;const t=e.get("OC");t instanceof Name?warn("setOptionalContent: Support for /Name-entry is not implemented."):t instanceof Dict&&(this.oc=t)}async loadResources(e,t){const a=await t.dict.getAsync("Resources");a&&await ObjectLoader.load(a,e,a.xref);return a}async getOperatorList(e,t,a,r){const{hasOwnCanvas:i,id:n,rect:o}=this.data;let c=this.appearance;const l=!!(i&&a&s);if(l&&(0===this.width||0===this.height)){this.data.has\
+OwnCanvas=!1;return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}if(!c){if(!l)return{opList:new OperatorList,separateForm:!1,separateCanvas:!1};c=new StringStream("");c.dict=new Dict}const h=c.dict,u=await this.loadResources(Ia,c),d=lookupRect(h.getArray("BBox"),[0,0,1,1]),f=lookupMatrix(h.getArray("Matrix"),Fa),g=getTransformMatrix(o,d,f),p=new OperatorList;let m;this.oc&&(m=await e.parseMarkedContentProps(this.oc,null));void 0!==m&&p.addOp(jt,["OC",m]);p.addOp($t,[n,o,g,f,l]);awa\
+it e.getOperatorList({stream:c,task:t,resources:u,operatorList:p,fallbackFontDict:this._fallbackFontDict});p.addOp(Gt,[]);void 0!==m&&p.addOp(_t,[]);this.reset();return{opList:p,separateForm:!1,separateCanvas:l}}async save(e,t,a,r){return null}get overlaysTextContent(){return!1}get hasTextContent(){return!1}async extractTextContent(e,t,a){if(!this.appearance)return;const r=await this.loadResources(Ta,this.appearance),i=[],n=[];let s=null;const o={desiredSize:Math.Infinity,ready:!0,enqueue(e,t){f\
+or(const t of e.items)if(void 0!==t.str){s||=t.transform.slice(-2);n.push(t.str);if(t.hasEOL){i.push(n.join("").trimEnd());n.length=0}}}};await e.getTextContent({stream:this.appearance,task:t,resources:r,includeMarkedContent:!0,keepWhiteSpace:!0,sink:o,viewBox:a});this.reset();n.length&&i.push(n.join("").trimEnd());if(i.length>1||i[0]){const e=this.appearance.dict,t=lookupRect(e.getArray("BBox"),null),a=lookupMatrix(e.getArray("Matrix"),null);this.data.textPosition=this._transformPoint(s,t,a);th\
+is.data.textContent=i}}_transformPoint(e,t,a){const{rect:r}=this.data;t||=[0,0,1,1];a||=[1,0,0,1,0,0];const i=getTransformMatrix(r,t,a);i[4]-=r[0];i[5]-=r[1];const n=e.slice();Util.applyTransform(n,i);Util.applyTransform(n,a);return n}getFieldObject(){return this.data.kidIds?{id:this.data.id,actions:this.data.actions,name:this.data.fieldName,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,type:"",kidIds:this.data.kidIds,page:this.data.pageIndex,rotation:this.rotation}:null}\
+reset(){for(const e of this._streams)e.reset()}_constructFieldName(e){if(!e.has("T")&&!e.has("Parent")){warn("Unknown field name, falling back to empty field name.");return""}if(!e.has("Parent"))return stringToPDFString(e.get("T"));const t=[];e.has("T")&&t.unshift(stringToPDFString(e.get("T")));let a=e;const r=new RefSet;e.objId&&r.put(e.objId);for(;a.has("Parent");){a=a.get("Parent");if(!(a instanceof Dict)||a.objId&&r.has(a.objId))break;a.objId&&r.put(a.objId);a.has("T")&&t.unshift(stringToPDF\
+String(a.get("T")))}return t.join(".")}get width(){return this.data.rect[2]-this.data.rect[0]}get height(){return this.data.rect[3]-this.data.rect[1]}}class AnnotationBorderStyle{constructor(){this.width=1;this.rawWidth=1;this.style=fe;this.dashArray=[3];this.horizontalCornerRadius=0;this.verticalCornerRadius=0}setWidth(e,t=[0,0,0,0]){if(e instanceof Name)this.width=0;else if("number"==typeof e){if(e>0){this.rawWidth=e;const a=(t[2]-t[0])/2,r=(t[3]-t[1])/2;if(a>0&&r>0&&(e>a||e>r)){warn(`Annotati\
+onBorderStyle.setWidth - ignoring width: ${e}`);e=1}}this.width=e}}setStyle(e){if(e instanceof Name)switch(e.name){case"S":this.style=fe;break;case"D":this.style=ge;break;case"B":this.style=pe;break;case"I":this.style=me;break;case"U":this.style=be}}setDashArray(e,t=!1){if(Array.isArray(e)){let a=!0,r=!0;for(const t of e){if(!(+t>=0)){a=!1;break}t>0&&(r=!1)}if(0===e.length||a&&!r){this.dashArray=e;t&&this.setStyle(Name.get("D"))}else this.width=0}else e&&(this.width=0)}setHorizontalCornerRadius(\
+e){Number.isInteger(e)&&(this.horizontalCornerRadius=e)}setVerticalCornerRadius(e){Number.isInteger(e)&&(this.verticalCornerRadius=e)}}class MarkupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;if(t.has("IRT")){const e=t.getRaw("IRT");this.data.inReplyTo=e instanceof Ref?e.toString():null;const a=t.get("RT");this.data.replyType=a instanceof Name?a.name:V}let a=null;if(this.data.replyType===G){const e=t.get("IRT");this.setTitle(e.get("T"));this.data.titleObj=this._title;thi\
+s.setContents(e.get("Contents"));this.data.contentsObj=this._contents;if(e.has("CreationDate")){this.setCreationDate(e.get("CreationDate"));this.data.creationDate=this.creationDate}else this.data.creationDate=null;if(e.has("M")){this.setModificationDate(e.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;a=e.getRaw("Popup");if(e.has("C")){this.setColor(e.getArray("C"));this.data.color=this.color}else this.data.color=null}else{this.data.titleObj=this.\
+_title;this.setCreationDate(t.get("CreationDate"));this.data.creationDate=this.creationDate;a=t.getRaw("Popup");t.has("C")||(this.data.color=null)}this.data.popupRef=a instanceof Ref?a.toString():null;t.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml(t.get("RC")))}setCreationDate(e){this.creationDate="string"==typeof e?e:null}_setDefaultAppearance({xref:e,extra:t,strokeColor:a,fillColor:r,blendMode:i,strokeAlpha:n,fillAlpha:s,pointsCallback:o}){const c=this.data.rect=[1/0,1/0,-1/0,-1\
+/0],l=["q"];t&&l.push(t);a&&l.push(`${a[0]} ${a[1]} ${a[2]} RG`);r&&l.push(`${r[0]} ${r[1]} ${r[2]} rg`);const h=this.data.quadPoints||Float32Array.from([this.rectangle[0],this.rectangle[3],this.rectangle[2],this.rectangle[3],this.rectangle[0],this.rectangle[1],this.rectangle[2],this.rectangle[1]]);for(let e=0,t=h.length;e<t;e+=8){const t=o(l,h.subarray(e,e+8));Util.rectBoundingBox(...t,c)}l.push("Q");const u=new Dict(e),d=new Dict(e);d.setIfName("Subtype","Form");const f=new StringStream(l.join\
+(" "));f.dict=d;u.set("Fm0",f);const g=new Dict(e);i&&g.setIfName("BM",i);g.setIfNumber("CA",n);g.setIfNumber("ca",s);const p=new Dict(e);p.set("GS0",g);const m=new Dict(e);m.set("ExtGState",p);m.set("XObject",u);const b=new Dict(e);b.set("Resources",m);b.set("BBox",c);this.appearance=new StringStream("/GS0 gs /Fm0 Do");this.appearance.dict=b;this._streams.push(this.appearance,f)}static async createNewAnnotation(e,t,a,r){const i=t.ref||=e.getNewTemporaryRef(),n=await this.createNewAppearanceStre\
+am(t,e,r);let s;if(n){const r=e.getNewTemporaryRef();s=this.createNewDict(t,e,{apRef:r});a.put(r,{data:n})}else s=this.createNewDict(t,e,{});Number.isInteger(t.parentTreeId)&&s.set("StructParent",t.parentTreeId);a.put(i,{data:s});const o={ref:i};if(t.popup){const r=t.popup;if(r.deleted){s.delete("Popup");s.delete("Contents");s.delete("RC");return o}const n=r.ref||=e.getNewTemporaryRef();r.parent=i;const c=PopupAnnotation.createNewDict(r,e);a.put(n,{data:c});s.setIfDefined("Contents",stringToAsci\
+iOrUTF16BE(r.contents));s.set("Popup",n);return[o,{ref:n}]}return o}static async createNewPrintAnnotation(e,t,a,r){const i=await this.createNewAppearanceStream(a,t,r),n=this.createNewDict(a,t,i?{ap:i}:{}),s=new this.prototype.constructor({dict:n,xref:t,annotationGlobals:e,evaluatorOptions:r.evaluatorOptions});a.ref&&(s.ref=s.refToReplace=a.ref);return s}}class WidgetAnnotation extends Annotation{constructor(e){super(e);const{dict:t,xref:a,annotationGlobals:r}=e,i=this.data;this._needAppearances=\
+e.needAppearances;i.annotationType=$;void 0===i.fieldName&&(i.fieldName=this._constructFieldName(t));void 0===i.actions&&(i.actions=collectActions(a,t,ye));let n=getInheritableProperty({dict:t,key:"V",getArray:!0});i.fieldValue=this._decodeFormValue(n);const s=getInheritableProperty({dict:t,key:"DV",getArray:!0});i.defaultFieldValue=this._decodeFormValue(s);if(void 0===n&&r.xfaDatasets){const e=this._title.str;if(e){this._hasValueFromXFA=!0;i.fieldValue=n=r.xfaDatasets.getValue(e)}}void 0===n&&n\
+ull!==i.defaultFieldValue&&(i.fieldValue=i.defaultFieldValue);i.alternativeText=stringToPDFString(t.get("TU")||"");this.setDefaultAppearance(e);i.hasAppearance||=this._needAppearances&&void 0!==i.fieldValue&&null!==i.fieldValue;const o=getInheritableProperty({dict:t,key:"FT"});i.fieldType=o instanceof Name?o.name:null;const c=getInheritableProperty({dict:t,key:"DR"}),l=r.acroForm.get("DR"),h=this.appearance?.dict.get("Resources");this._fieldResources={localResources:c,acroFormResources:l,appeara\
+nceResources:h,mergedResources:Dict.merge({xref:a,dictArray:[c,h,l],mergeSubDicts:!0})};i.fieldFlags=getInheritableProperty({dict:t,key:"Ff"});(!Number.isInteger(i.fieldFlags)||i.fieldFlags<0)&&(i.fieldFlags=0);i.password=this.hasFieldFlag(ne);i.readOnly=this.hasFieldFlag(ae);i.required=this.hasFieldFlag(re);i.hidden=this._hasFlag(i.annotationFlags,J)||this._hasFlag(i.annotationFlags,Q)}_decodeFormValue(e){return Array.isArray(e)?e.filter((e=>"string"==typeof e)).map((e=>stringToPDFString(e))):e\
+ instanceof Name?stringToPDFString(e.name):"string"==typeof e?stringToPDFString(e):null}hasFieldFlag(e){return!!(this.data.fieldFlags&e)}_isViewable(e){return!0}mustBeViewed(e,t){return t?this.viewable:super.mustBeViewed(e,t)&&!this._hasFlag(this.flags,Q)}getRotationMatrix(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.rotation);return 0===t?Fa:getRotationMatrix(t,this.width,this.height)}getBorderAndBackgroundAppearances(e){let t=e?.get(this.data.id)?.rotation;void 0===t&&(t=this.ro\
+tation);if(!this.backgroundColor&&!this.borderColor)return"";const a=0===t||180===t?`0 0 ${this.width} ${this.height} re`:`0 0 ${this.height} ${this.width} re`;let r="";this.backgroundColor&&(r=`${getPdfColor(this.backgroundColor,!0)} ${a} f `);if(this.borderColor){r+=`${this.borderStyle.width||1} w ${getPdfColor(this.borderColor,!1)} ${a} S `}return r}async getOperatorList(e,t,a,r){if(a&l&&!(this instanceof SignatureWidgetAnnotation)&&!this.data.noHTML&&!this.data.hasOwnCanvas)return{opList:new\
+ OperatorList,separateForm:!0,separateCanvas:!1};if(!this._hasText)return super.getOperatorList(e,t,a,r);const i=await this._getAppearance(e,t,a,r);if(this.appearance&&null===i)return super.getOperatorList(e,t,a,r);const n=new OperatorList;if(!this._defaultAppearance||null===i)return{opList:n,separateForm:!1,separateCanvas:!1};const o=!!(this.data.hasOwnCanvas&&a&s),c=[0,0,this.width,this.height],h=getTransformMatrix(this.data.rect,c,[1,0,0,1,0,0]);let u;this.oc&&(u=await e.parseMarkedContentPro\
+ps(this.oc,null));void 0!==u&&n.addOp(jt,["OC",u]);n.addOp($t,[this.data.id,this.data.rect,h,this.getRotationMatrix(r),o]);const d=new StringStream(i);await e.getOperatorList({stream:d,task:t,resources:this._fieldResources.mergedResources,operatorList:n});n.addOp(Gt,[]);void 0!==u&&n.addOp(_t,[]);return{opList:n,separateForm:!1,separateCanvas:o}}_getMKDict(e){const t=new Dict(null);e&&t.set("R",e);t.setIfArray("BC",getPdfColorArray(this.borderColor));t.setIfArray("BG",getPdfColorArray(this.backg\
+roundColor));return t.size>0?t:null}amendSavedDict(e,t){}setValue(e,t,a,r){const{dict:i,ref:n}=function getParentToUpdate(e,t,a){const r=new RefSet,i=e,n={dict:null,ref:null};for(;e instanceof Dict&&!r.has(t);){r.put(t);if(e.has("T"))break;if(!((t=e.getRaw("Parent"))instanceof Ref))return n;e=a.fetch(t)}if(e instanceof Dict&&e!==i){n.dict=e;n.ref=t}return n}(e,this.ref,a);if(i){if(!r.has(n)){const e=i.clone();e.set("V",t);r.put(n,{data:e});return e}}else e.set("V",t);return null}async save(e,t,a\
+,r){const i=a?.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.value,o=i?.rotation;if(s===this.data.fieldValue||void 0===s){if(!this._hasValueFromXFA&&void 0===o&&void 0===n)return;s||=this.data.fieldValue}if(void 0===o&&!this._hasValueFromXFA&&Array.isArray(s)&&Array.isArray(this.data.fieldValue)&&isArrayEqual(s,this.data.fieldValue)&&void 0===n)return;void 0===o&&(o=this.rotation);let l=null;if(!this._needAppearances){l=await this._getAppearance(e,t,c,a);if(null===l&&void 0\
+===n)return}let h=!1;if(l?.needAppearances){h=!0;l=null}const{xref:u}=e,d=u.fetchIfRef(this.ref);if(!(d instanceof Dict))return;const f=new Dict(u);for(const e of d.getKeys())"AP"!==e&&f.set(e,d.getRaw(e));if(void 0!==n){f.set("F",n);if(null===l&&!h){const e=d.getRaw("AP");e&&f.set("AP",e)}}const g={path:this.data.fieldName,value:s},p=this.setValue(f,Array.isArray(s)?s.map(stringToAsciiOrUTF16BE):stringToAsciiOrUTF16BE(s),u,r);this.amendSavedDict(a,p||f);const m=this._getMKDict(o);m&&f.set("MK",\
+m);r.put(this.ref,{data:f,xfa:g,needAppearances:h});if(null!==l){const e=u.getNewTemporaryRef(),t=new Dict(u);f.set("AP",t);t.set("N",e);const i=this._getSaveFieldResources(u),n=new StringStream(l),s=n.dict=new Dict(u);s.setIfName("Subtype","Form");s.set("Resources",i);const c=o%180==0?[0,0,this.width,this.height]:[0,0,this.height,this.width];s.set("BBox",c);const h=this.getRotationMatrix(a);h!==Fa&&s.set("Matrix",h);r.put(e,{data:n,xfa:null,needAppearances:!1})}f.set("M",`D:${getModificationDat\
+e()}`)}async _getAppearance(e,t,a,r){if(this.data.password)return null;const n=r?.get(this.data.id);let s,o;if(n){s=n.formattedValue||n.value;o=n.rotation}if(void 0===o&&void 0===s&&!this._needAppearances&&(!this._hasValueFromXFA||this.appearance))return null;const l=this.getBorderAndBackgroundAppearances(r);if(void 0===s){s=this.data.fieldValue;if(!s)return`/Tx BMC q ${l}Q EMC`}Array.isArray(s)&&1===s.length&&(s=s[0]);assert("string"==typeof s,"Expected `value` to be a string.");s=s.trimEnd();i\
+f(this.data.combo){const e=this.data.options.find((({exportValue:e})=>s===e));s=e?.displayValue||s}if(""===s)return`/Tx BMC q ${l}Q EMC`;void 0===o&&(o=this.rotation);let h,u=-1;if(this.data.multiLine){h=s.split(/\\r\\n?|\\n/).map((e=>e.normalize("NFC")));u=h.length}else h=[s.replace(/\\r\\n?|\\n/,"").normalize("NFC")];let{width:d,height:f}=this;90!==o&&270!==o||([d,f]=[f,d]);this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g")\
+);let g,p,m,b=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,this._fieldResources.mergedResources);const y=[];let w=!1;for(const e of h){const t=b.encodeString(e);t.length>1&&(w=!0);y.push(t.join(""))}if(w&&a&c)return{needAppearances:!0};if(w&&this._isOffscreenCanvasSupported){const a=this.data.comb?"monospace":"sans-serif",r=new FakeUnicodeFont(e.xref,a),i=r.createFontResources(h.join("")),n=i.getRaw("Font");if(this._fieldResources.mergedResources.has("Font")){const e=t\
+his._fieldResources.mergedResources.get("Font");for(const t of n.getKeys())e.set(t,n.getRaw(t))}else this._fieldResources.mergedResources.set("Font",n);const o=r.fontName.name;b=await WidgetAnnotation._getFontData(e,t,{fontName:o,fontSize:0},i);for(let e=0,t=y.length;e<t;e++)y[e]=stringToUTF16String(h[e]);const c=Object.assign(Object.create(null),this.data.defaultAppearanceData);this.data.defaultAppearanceData.fontSize=0;this.data.defaultAppearanceData.fontName=o;[g,p,m]=this._computeFontSize(f-\
+2,d-4,s,b,u);this.data.defaultAppearanceData=c}else{this._isOffscreenCanvasSupported||warn("_getAppearance: OffscreenCanvas is not supported, annotation may not render correctly.");[g,p,m]=this._computeFontSize(f-2,d-4,s,b,u)}let x=b.descent;x=isNaN(x)?i*m:Math.max(i*m,Math.abs(x)*p);const S=Math.min(Math.floor((f-p)/2),1),k=this.data.textAlignment;if(this.data.multiLine)return this._getMultilineAppearance(g,y,b,p,d,f,k,2,S,x,m,r);if(this.data.comb)return this._getCombAppearance(g,b,y[0],p,d,f,2\
+,S,x,m,r);const C=S+x;if(0===k||k>2)return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 ${numberToString(2)} ${numberToString(C)} Tm (${escapeString(y[0])}) Tj ET Q EMC`;return`/Tx BMC q ${l}BT `+g+` 1 0 0 1 0 0 Tm ${this._renderText(y[0],b,p,d,k,{shift:0},2,C)} ET Q EMC`}static async _getFontData(e,t,a,r){const i=new OperatorList,n={font:null,clone(){return this}},{fontName:s,fontSize:o}=a;await e.handleSetFont(r,[s&&Name.get(s),o],null,i,t,n,null);return n.font}_getTextWidth(e,t){return Math.sumPrecise(t.ch\
+arsToGlyphs(e).map((e=>e.width)))/1e3}_computeFontSize(e,t,r,i,n){let{fontSize:s}=this.data.defaultAppearanceData,o=(s||12)*a,c=Math.round(e/o);if(!s){const roundWithTwoDigits=e=>Math.floor(100*e)/100;if(-1===n){const n=this._getTextWidth(r,i);s=roundWithTwoDigits(Math.min(e/a,t/n));c=1}else{const l=r.split(/\\r\\n?|\\n/),h=[];for(const e of l){const t=i.encodeString(e).join(""),a=i.charsToGlyphs(t),r=i.getCharPositions(t);h.push({line:t,glyphs:a,positions:r})}const isTooBig=a=>{let r=0;for(const n\
+ of h){r+=this._splitLine(null,i,a,t,n).length*a;if(r>e)return!0}return!1};c=Math.max(c,n);for(;;){o=e/c;s=roundWithTwoDigits(o/a);if(!isTooBig(s))break;c++}}const{fontName:l,fontColor:h}=this.data.defaultAppearanceData;this._defaultAppearance=function createDefaultAppearance({fontSize:e,fontName:t,fontColor:a}){return`/${escapePDFName(t)} ${e} Tf ${getPdfColor(a,!0)}`}({fontSize:s,fontName:l,fontColor:h})}return[this._defaultAppearance,s,e/c]}_renderText(e,t,a,r,i,n,s,o){let c;if(1===i){c=(r-th\
+is._getTextWidth(e,t)*a)/2}else if(2===i){c=r-this._getTextWidth(e,t)*a-s}else c=s;const l=numberToString(c-n.shift);n.shift=c;return`${l} ${o=numberToString(o)} Td (${escapeString(e)}) Tj`}_getSaveFieldResources(e){const{localResources:t,appearanceResources:a,acroFormResources:r}=this._fieldResources,i=this.data.defaultAppearanceData?.fontName;if(!i)return t||Dict.empty;for(const e of[t,a])if(e instanceof Dict){const t=e.get("Font");if(t instanceof Dict&&t.has(i))return e}if(r instanceof Dict){\
+const a=r.get("Font");if(a instanceof Dict&&a.has(i)){const r=new Dict(e);r.set(i,a.getRaw(i));const n=new Dict(e);n.set("Font",r);return Dict.merge({xref:e,dictArray:[n,t],mergeSubDicts:!0})}}return t||Dict.empty}getFieldObject(){return null}}class TextWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t}=e;if(t.has("PMD")){this.flags|=J;this.data.hidden=!0;warn("Barcodes are not supported")}this.data.hasOwnCanvas=this.data.readOnly&&!this.data.noHTML;this._hasText=!0;\
+"string"!=typeof this.data.fieldValue&&(this.data.fieldValue="");let a=getInheritableProperty({dict:t,key:"Q"});(!Number.isInteger(a)||a<0||a>2)&&(a=null);this.data.textAlignment=a;let r=getInheritableProperty({dict:t,key:"MaxLen"});(!Number.isInteger(r)||r<0)&&(r=0);this.data.maxLen=r;this.data.multiLine=this.hasFieldFlag(ie);this.data.comb=this.hasFieldFlag(de)&&!this.data.multiLine&&!this.data.password&&!this.hasFieldFlag(le)&&0!==this.data.maxLen;this.data.doNotScroll=this.hasFieldFlag(ue);c\
+onst{data:{actions:i}}=this;if(!i)return;const n=/^AF(Date|Time)_(?:Keystroke|Format)(?:Ex)?\\([\'"]?([^\'"]+)[\'"]?\\);$/;let s=!1;(1===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Format[0])&&n.test(i.Keystroke[0])||0===i.Format?.length&&1===i.Keystroke?.length&&n.test(i.Keystroke[0])||0===i.Keystroke?.length&&1===i.Format?.length&&n.test(i.Format[0]))&&(s=!0);const o=[];i.Format&&o.push(...i.Format);i.Keystroke&&o.push(...i.Keystroke);if(s){delete i.Keystroke;i.Format=o}for(const e of o){co\
+nst t=e.match(n);if(!t)continue;const a="Date"===t[1];let r=t[2];const i=parseInt(r,10);isNaN(i)||Math.floor(Math.log10(i))+1!==t[2].length||(r=(a?Pn:Ln)[i]??r);this.data.datetimeFormat=r;if(!s)break;if(a){if(/HH|MM|ss|h/.test(r)){this.data.datetimeType="datetime-local";this.data.timeStep=/ss/.test(r)?1:60}else this.data.datetimeType="date";break}this.data.datetimeType="time";this.data.timeStep=/ss/.test(r)?1:60;break}}get hasTextContent(){return!!this.appearance&&!this._needAppearances}_getComb\
+Appearance(e,t,a,r,i,n,s,o,c,l,h){const u=i/this.data.maxLen,d=this.getBorderAndBackgroundAppearances(h),f=[],g=t.getCharPositions(a);for(const[e,t]of g)f.push(`(${escapeString(a.substring(e,t))}) Tj`);const p=f.join(` ${numberToString(u)} 0 Td `);return`/Tx BMC q ${d}BT `+e+` 1 0 0 1 ${numberToString(s)} ${numberToString(o+c)} Tm ${p} ET Q EMC`}_getMultilineAppearance(e,t,a,r,i,n,s,o,c,l,h,u){const d=[],f=i-2*o,g={shift:0};for(let e=0,n=t.length;e<n;e++){const n=t[e],u=this._splitLine(n,a,r,f);\
+for(let t=0,n=u.length;t<n;t++){const n=u[t],f=0===e&&0===t?-c-(h-l):-h;d.push(this._renderText(n,a,r,i,s,g,o,f))}}const p=this.getBorderAndBackgroundAppearances(u),m=d.join("\\n");return`/Tx BMC q ${p}BT `+e+` 1 0 0 1 0 ${numberToString(n)} Tm ${m} ET Q EMC`}_splitLine(e,t,a,r,i={}){e=i.line||e;const n=i.glyphs||t.charsToGlyphs(e);if(n.length<=1)return[e];const s=i.positions||t.getCharPositions(e),o=a/1e3,c=[];let l=-1,h=-1,u=-1,d=0,f=0;for(let t=0,a=n.length;t<a;t++){const[a,i]=s[t],g=n[t],p=g.\
+width*o;if(" "===g.unicode)if(f+p>r){c.push(e.substring(d,a));d=a;f=p;l=-1;u=-1}else{f+=p;l=a;h=i;u=t}else if(f+p>r)if(-1!==l){c.push(e.substring(d,h));d=h;t=u+1;l=-1;f=0}else{c.push(e.substring(d,a));d=a;f=p}else f+=p}d<e.length&&c.push(e.substring(d,e.length));return c}async extractTextContent(e,t,a){await super.extractTextContent(e,t,a);const r=this.data.textContent;if(!r)return;const i=r.join("\\n");if(i===this.data.fieldValue)return;const n=i.replaceAll(/([.*+?^${}()|[\\]\\\\])|(\\s+)/g,((e,t)=>\
+t?`\\\\${t}`:"\\\\s+"));new RegExp(`^\\\\s*${n}\\\\s*$`).test(this.data.fieldValue)&&(this.data.textContent=this.data.fieldValue.split("\\n"))}getFieldObject(){return{id:this.data.id,value:this.data.fieldValue,defaultValue:this.data.defaultFieldValue||"",multiline:this.data.multiLine,password:this.data.password,charLimit:this.data.maxLen,comb:this.data.comb,editable:!this.data.readOnly,hidden:this.data.hidden,name:this.data.fieldName,rect:this.data.rect,actions:this.data.actions,page:this.data.pageIndex,\
+strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,datetimeFormat:this.data.datetimeFormat,hasDatetimeHTML:!!this.data.datetimeType,type:"text"}}}class ButtonWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.checkedAppearance=null;this.uncheckedAppearance=null;const t=this.hasFieldFlag(se),a=this.hasFieldFlag(oe);this.data.checkBox=!t&&!a;this.data.radioButton=t&&!a;this.data.pushButton=a;this.data.isTooltipOnly=!1;if(this.data.check\
+Box)this._processCheckBox(e);else if(this.data.radioButton)this._processRadioButton(e);else if(this.data.pushButton){this.data.hasOwnCanvas=!0;this.data.noHTML=!1;this._processPushButton(e)}else warn("Invalid field flags for button widget annotation")}async getOperatorList(e,t,a,r){if(this.data.pushButton)return super.getOperatorList(e,t,a,!1,r);let i=null,n=null;if(r){const e=r.get(this.data.id);i=e?e.value:null;n=e?e.rotation:null}if(null===i&&this.appearance)return super.getOperatorList(e,t,a\
+,r);null==i&&(i=this.data.checkBox?this.data.fieldValue===this.data.exportValue:this.data.fieldValue===this.data.buttonValue);const s=i?this.checkedAppearance:this.uncheckedAppearance;if(s){const i=this.appearance,o=lookupMatrix(s.dict.getArray("Matrix"),Fa);n&&s.dict.set("Matrix",this.getRotationMatrix(r));this.appearance=s;const c=super.getOperatorList(e,t,a,r);this.appearance=i;s.dict.set("Matrix",o);return c}return{opList:new OperatorList,separateForm:!1,separateCanvas:!1}}async save(e,t,a,r\
+){this.data.checkBox?this._saveCheckbox(e,t,a,r):this.data.radioButton&&this._saveRadioButton(e,t,a,r)}async _saveCheckbox(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){if(void 0===o)return;if(this.data.fieldValue===this.data.exportValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===s&&(s=this.rotation);void 0===o&&(o=this.data.fieldValue===this.\
+data.exportValue);const l={path:this.data.fieldName,value:o?this.data.exportValue:""},h=Name.get(o?this.data.exportValue:"Off");this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.set("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}async _saveRadioButton(e,t,a,r){if(!a)return;const i=a.get(this.data.id),n=this._buildFlags(i?.noView,i?.noPrint);let s=i?.rotation,o=i?.value;if(void 0===s&&void 0===n){i\
+f(void 0===o)return;if(this.data.fieldValue===this.data.buttonValue===o)return}let c=e.xref.fetchIfRef(this.ref);if(!(c instanceof Dict))return;c=c.clone();void 0===o&&(o=this.data.fieldValue===this.data.buttonValue);void 0===s&&(s=this.rotation);const l={path:this.data.fieldName,value:o?this.data.buttonValue:""},h=Name.get(o?this.data.buttonValue:"Off");o&&this.setValue(c,h,e.xref,r);c.set("AS",h);c.set("M",`D:${getModificationDate()}`);void 0!==n&&c.set("F",n);const u=this._getMKDict(s);u&&c.s\
+et("MK",u);r.put(this.ref,{data:c,xfa:l,needAppearances:!1})}_getDefaultCheckedAppearance(e,t){const{width:a,height:r}=this,i=[0,0,a,r],n=.8*Math.min(a,r);let s,o;if("check"===t){s={width:.755*n,height:.705*n};o="3"}else if("disc"===t){s={width:.791*n,height:.705*n};o="l"}else unreachable(`_getDefaultCheckedAppearance - unsupported type: ${t}`);const c=`q BT /PdfJsZaDb ${n} Tf 0 g ${numberToString((a-s.width)/2)} ${numberToString((r-s.height)/2)} Td (${o}) Tj ET Q`,l=new Dict(e.xref);l.set("Form\
+Type",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Matrix",[1,0,0,1,0,0]);l.set("Length",c.length);const h=new Dict(e.xref),u=new Dict(e.xref);u.set("PdfJsZaDb",this.fallbackFontDict);h.set("Font",u);l.set("Resources",h);this.checkedAppearance=new StringStream(c);this.checkedAppearance.dict=l;this._streams.push(this.checkedAppearance)}_processCheckBox(e){const t=e.dict.get("AP");if(!(t instanceof Dict))return;const a=t.get("N");if(!(a instanceof Dict))ret\
+urn;const r=this._decodeFormValue(e.dict.get("AS"));"string"==typeof r&&(this.data.fieldValue=r);const i=null!==this.data.fieldValue&&"Off"!==this.data.fieldValue?this.data.fieldValue:"Yes",n=this._decodeFormValue(a.getKeys());if(0===n.length)n.push("Off",i);else if(1===n.length)"Off"===n[0]?n.push(i):n.unshift("Off");else if(n.includes(i)){n.length=0;n.push("Off",i)}else{const e=n.find((e=>"Off"!==e));n.length=0;n.push("Off",e)}n.includes(this.data.fieldValue)||(this.data.fieldValue="Off");this\
+.data.exportValue=n[1];const s=a.get(this.data.exportValue);this.checkedAppearance=s instanceof BaseStream?s:null;const o=a.get("Off");this.uncheckedAppearance=o instanceof BaseStream?o:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"check");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processRa\
+dioButton(e){this.data.buttonValue=null;const t=e.dict.get("Parent");if(t instanceof Dict){this.parent=e.dict.getRaw("Parent");const a=t.get("V");a instanceof Name&&(this.data.fieldValue=this._decodeFormValue(a))}const a=e.dict.get("AP");if(!(a instanceof Dict))return;const r=a.get("N");if(!(r instanceof Dict))return;for(const e of r.getKeys())if("Off"!==e){this.data.buttonValue=this._decodeFormValue(e);break}const i=r.get(this.data.buttonValue);this.checkedAppearance=i instanceof BaseStream?i:n\
+ull;const n=r.get("Off");this.uncheckedAppearance=n instanceof BaseStream?n:null;this.checkedAppearance?this._streams.push(this.checkedAppearance):this._getDefaultCheckedAppearance(e,"disc");this.uncheckedAppearance&&this._streams.push(this.uncheckedAppearance);this._fallbackFontDict=this.fallbackFontDict;null===this.data.defaultFieldValue&&(this.data.defaultFieldValue="Off")}_processPushButton(e){const{dict:t,annotationGlobals:a}=e;if(t.has("A")||t.has("AA")||this.data.alternativeText){this.dat\
+a.isTooltipOnly=!t.has("A")&&!t.has("AA");Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachments:a.attachments})}else warn("Push buttons without action dictionaries are not supported")}getFieldObject(){let e,t="button";if(this.data.checkBox){t="checkbox";e=this.data.exportValue}else if(this.data.radioButton){t="radiobutton";e=this.data.buttonValue}return{id:this.data.id,value:this.data.fieldValue||"Off",defaultValue:this.data.defaultFieldValue,exportValue\
+s:e,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,hidden:this.data.hidden,actions:this.data.actions,page:this.data.pageIndex,strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:t}}get fallbackFontDict(){const e=new Dict;e.setIfName("BaseFont","ZapfDingbats");e.setIfName("Type","FallbackType");e.setIfName("Subtype","FallbackType");e.setIfName("Encoding","ZapfDingbatsEncoding");return shadow(this,"fallbackFontDict",e)}}class\
+ ChoiceWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.indices=t.getArray("I");this.hasIndices=Array.isArray(this.indices)&&this.indices.length>0;this.data.options=[];const r=getInheritableProperty({dict:t,key:"Opt"});if(Array.isArray(r))for(let e=0,t=r.length;e<t;e++){const t=a.fetchIfRef(r[e]),i=Array.isArray(t);this.data.options[e]={exportValue:this._decodeFormValue(i?a.fetchIfRef(t[0]):t),displayValue:this._decodeFormValue(i?a.fetchIfRef(t[1]):t)\
+}}if(this.hasIndices){this.data.fieldValue=[];const e=this.data.options.length;for(const t of this.indices)Number.isInteger(t)&&t>=0&&t<e&&this.data.fieldValue.push(this.data.options[t].exportValue)}else"string"==typeof this.data.fieldValue?this.data.fieldValue=[this.data.fieldValue]:this.data.fieldValue||=[];0===this.data.options.length&&this.data.fieldValue.length>0&&(this.data.options=this.data.fieldValue.map((e=>({exportValue:e,displayValue:e}))));this.data.combo=this.hasFieldFlag(ce);this.d\
+ata.multiSelect=this.hasFieldFlag(he);this._hasText=!0}getFieldObject(){const e=this.data.combo?"combobox":"listbox",t=this.data.fieldValue.length>0?this.data.fieldValue[0]:null;return{id:this.data.id,value:t,defaultValue:this.data.defaultFieldValue,editable:!this.data.readOnly,name:this.data.fieldName,rect:this.data.rect,numItems:this.data.fieldValue.length,multipleSelection:this.data.multiSelect,hidden:this.data.hidden,actions:this.data.actions,items:this.data.options,page:this.data.pageIndex,\
+strokeColor:this.data.borderColor,fillColor:this.data.backgroundColor,rotation:this.rotation,type:e}}amendSavedDict(e,t){if(!this.hasIndices)return;let a=e?.get(this.data.id)?.value;Array.isArray(a)||(a=[a]);const r=[],{options:i}=this.data;for(let e=0,t=0,n=i.length;e<n;e++)if(i[e].exportValue===a[t]){r.push(e);t+=1}t.set("I",r)}async _getAppearance(e,t,r,i){if(this.data.combo)return super._getAppearance(e,t,r,i);let n,s;const o=i?.get(this.data.id);if(o){s=o.rotation;n=o.value}if(void 0===s&&v\
+oid 0===n&&!this._needAppearances)return null;void 0===n?n=this.data.fieldValue:Array.isArray(n)||(n=[n]);let{width:c,height:l}=this;90!==s&&270!==s||([c,l]=[l,c]);const h=this.data.options.length,u=[];for(let e=0;e<h;e++){const{exportValue:t}=this.data.options[e];n.includes(t)&&u.push(e)}this._defaultAppearance||(this.data.defaultAppearanceData=parseDefaultAppearance(this._defaultAppearance="/Helvetica 0 Tf 0 g"));const d=await WidgetAnnotation._getFontData(e,t,this.data.defaultAppearanceData,t\
+his._fieldResources.mergedResources);let f,{fontSize:g}=this.data.defaultAppearanceData;if(g)f=this._defaultAppearance;else{const e=(l-1)/h;let t,a=-1;for(const{displayValue:e}of this.data.options){const r=this._getTextWidth(e,d);if(r>a){a=r;t=e}}[f,g]=this._computeFontSize(e,c-4,t,d,-1)}const p=g*a,m=(p-g)/2,b=Math.floor(l/p);let y=0;if(u.length>0){const e=Math.min(...u),t=Math.max(...u);y=Math.max(0,t-b+1);y>e&&(y=e)}const w=Math.min(y+b+1,h),x=["/Tx BMC q",`1 1 ${c} ${l} re W n`];if(u.length)\
+{x.push("0.600006 0.756866 0.854904 rg");for(const e of u)y<=e&&e<w&&x.push(`1 ${l-(e-y+1)*p} ${c} ${p} re f`)}x.push("BT",f,`1 0 0 1 0 ${l} Tm`);const S={shift:0};for(let e=y;e<w;e++){const{displayValue:t}=this.data.options[e],a=e===y?m:0;x.push(this._renderText(t,d,g,c,0,S,2,-p+a))}x.push("ET Q EMC");return x.join("\\n")}}class SignatureWidgetAnnotation extends WidgetAnnotation{constructor(e){super(e);this.data.fieldValue=null;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!this.dat\
+a.hasOwnCanvas}getFieldObject(){return{id:this.data.id,value:null,page:this.data.pageIndex,type:"signature"}}}class TextAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.noRotate=!0;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t}=e;this.data.annotationType=F;if(this.data.hasAppearance)this.data.name="NoIcon";else{this.data.rect[1]=this.data.rect[3]-22;this.data.rect[2]=this.data.rect[0]+22;this.data.name=t.has("Name")?t.get("Name").name:"Note"}if(t\
+.has("State")){this.data.state=t.get("State")||null;this.data.stateModel=t.get("StateModel")||null}else{this.data.state=null;this.data.stateModel=null}}}class LinkAnnotation extends Annotation{constructor(e){super(e);const{dict:t,annotationGlobals:a}=e;this.data.annotationType=T;this.data.noHTML=!1;const r=getQuadPoints(t,this.rectangle);r&&(this.data.quadPoints=r);this.data.borderColor||=this.data.color;Catalog.parseDestDictionary({destDict:t,resultObj:this.data,docBaseUrl:a.baseUrl,docAttachme\
+nts:a.attachments})}get overlaysTextContent(){return!0}}class PopupAnnotation extends Annotation{constructor(e){super(e);const{dict:t}=e;this.data.annotationType=W;this.data.noHTML=!1;0!==this.width&&0!==this.height||(this.data.rect=null);let a=t.get("Parent");if(!a){warn("Popup annotation has a missing or invalid parent annotation.");return}this.data.parentRect=lookupNormalRect(a.getArray("Rect"),null);this.data.creationDate=a.get("CreationDate")||"";isName(a.get("RT"),G)&&(a=a.get("IRT"));if(a\
+.has("M")){this.setModificationDate(a.get("M"));this.data.modificationDate=this.modificationDate}else this.data.modificationDate=null;if(a.has("C")){this.setColor(a.getArray("C"));this.data.color=this.color}else this.data.color=null;if(!this.viewable){const e=a.get("F");this._isViewable(e)&&this.setFlags(e)}this.setTitle(a.get("T"));this.data.titleObj=this._title;this.setContents(a.get("Contents"));this.data.contentsObj=this._contents;a.has("RC")&&(this.data.richText=XFAFactory.getRichTextAsHtml\
+(a.get("RC")));this.data.open=!!t.get("Open")}static createNewDict(e,t,a){const{oldAnnotation:r,rect:i,parent:n}=e,s=r||new Dict(t);s.setIfNotExists("Type",Name.get("Annot"));s.setIfNotExists("Subtype",Name.get("Popup"));s.setIfNotExists("Open",!1);s.setIfArray("Rect",i);s.set("Parent",n);return s}static async createNewAppearanceStream(e,t,a){return null}}class FreeTextAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this\
+.data.noHTML;this.data.noHTML=!1;const{annotationGlobals:t,evaluatorOptions:a,xref:r}=e;this.data.annotationType=O;this.setDefaultAppearance(e);this._hasAppearance=!!this.appearance;if(this._hasAppearance){const{fontColor:e,fontSize:i}=function parseAppearanceStream(e,t,a,r){return new AppearanceStreamEvaluator(e,t,a,r).parse()}(this.appearance,a,r,t.globalColorSpaceCache);this.data.defaultAppearanceData.fontColor=e;this.data.defaultAppearanceData.fontSize=i||10}else{this.data.defaultAppearanceD\
+ata.fontSize||=10;const{fontColor:t,fontSize:a}=this.data.defaultAppearanceData;if(this._contents.str){this.data.textContent=this._contents.str.split(/\\r\\n?|\\n/).map((e=>e.trimEnd()));const{coords:e,bbox:t,matrix:r}=FakeUnicodeFont.getFirstPositionInfo(this.rectangle,this.rotation,a);this.data.textPosition=this._transformPoint(e,t,r)}if(this._isOffscreenCanvasSupported){const i=e.dict.get("CA"),n=new FakeUnicodeFont(r,"sans-serif");this.appearance=n.createAppearance(this._contents.str,this.recta\
+ngle,this.rotation,a,t,i);this._streams.push(this.appearance)}else warn("FreeTextAnnotation: OffscreenCanvas is not supported, annotation may not render correctly.")}}get hasTextContent(){return this._hasAppearance}static createNewDict(e,t,{apRef:a,ap:r}){const{color:i,date:n,fontSize:s,oldAnnotation:o,rect:c,rotation:l,user:h,value:u}=e,d=o||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("FreeText"));d.set(o?"M":"CreationDate",`D:${getModificationDate\
+(n)}`);o&&d.delete("RC");d.setIfArray("Rect",c);const f=`/Helv ${s} Tf ${getPdfColor(i,!0)}`;d.set("DA",f);d.setIfDefined("Contents",stringToAsciiOrUTF16BE(u));d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,r){const{baseFontRef:i,evaluator:n,task:s}=r,{color:o,fontSize:c,rect:l,rotation:h,value:u}=e;if(!\
+o)return null;const d=new Dict(t),f=new Dict(t);if(i)f.set("Helv",i);else{const e=new Dict(t);e.setIfName("BaseFont","Helvetica");e.setIfName("Type","Font");e.setIfName("Subtype","Type1");e.setIfName("Encoding","WinAnsiEncoding");f.set("Helv",e)}d.set("Font",f);const g=await WidgetAnnotation._getFontData(n,s,{fontName:"Helv",fontSize:c},d),[p,m,b,y]=l;let w=b-p,x=y-m;h%180!=0&&([w,x]=[x,w]);const S=u.split("\\n"),k=c/1e3;let C=-1/0;const v=[];for(let e of S){const t=g.encodeString(e);if(t.length>\
+1)return null;e=t.join("");v.push(e);let a=0;const r=g.charsToGlyphs(e);for(const e of r)a+=e.width*k;C=Math.max(C,a)}let F=1;C>w&&(F=w/C);let T=1;const O=a*c,M=1*c,D=O*S.length;D>x&&(T=x/D);const R=c*Math.min(F,T);let N,E,L;switch(h){case 0:L=[1,0,0,1];E=[l[0],l[1],w,x];N=[l[0],l[3]-M];break;case 90:L=[0,1,-1,0];E=[l[1],-l[2],w,x];N=[l[1],-l[0]-M];break;case 180:L=[-1,0,0,-1];E=[-l[2],-l[3],w,x];N=[-l[2],-l[1]-M];break;case 270:L=[0,-1,1,0];E=[-l[3],l[0],w,x];N=[-l[3],l[2]-M]}const j=["q",`${L.\
+join(" ")} 0 0 cm`,`${E.join(" ")} re W n`,"BT",`${getPdfColor(o,!0)}`,`0 Tc /Helv ${numberToString(R)} Tf`];j.push(`${N.join(" ")} Td (${escapeString(v[0])}) Tj`);const _=numberToString(O);for(let e=1,t=v.length;e<t;e++){const t=v[e];j.push(`0 -${_} Td (${escapeString(t)}) Tj`)}j.push("ET","Q");const U=j.join("\\n"),X=new Dict(t);X.set("FormType",1);X.setIfName("Subtype","Form");X.setIfName("Type","XObject");X.set("BBox",l);X.set("Resources",d);X.set("Matrix",[1,0,0,1,-l[0],-l[1]]);const q=new S\
+tringStream(U);q.dict=X;return q}}class LineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=M;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const r=lookupRect(t.getArray("L"),[0,0,0,0]);this.data.lineCoordinates=Util.normalizeRect(r);this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),i=t.get("CA"),n=getPdfColorArray(getRgbColor(t.\
+getArray("IC"),null)),s=n?i:null,o=this.borderStyle.width||1,c=2*o,l=[this.data.lineCoordinates[0]-c,this.data.lineCoordinates[1]-c,this.data.lineCoordinates[2]+c,this.data.lineCoordinates[3]+c];Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({xref:a,extra:`${o} w`,strokeColor:e,fillColor:n,strokeAlpha:i,fillAlpha:s,pointsCallback:(e,t)=>{e.push(`${r[0]} ${r[1]} m`,`${r[2]} ${r[3]} l`,"S");return[t[0]-o,t[7]-o,t[2]+o,t[3]+o]}})}}}class SquareAnnotation extends Mar\
+kupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=D;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borderStyle.width&&!i)return;this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[4]+this\
+.borderStyle.width/2,r=t[5]+this.borderStyle.width/2,n=t[6]-t[4]-this.borderStyle.width,s=t[3]-t[7]-this.borderStyle.width;e.push(`${a} ${r} ${n} ${s} re`);i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class CircleAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=R;if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=getPdfColorArray(getRgbColor(t.getArray("IC"),null)),n=i?r:null;if(0===this.borde\
+rStyle.width&&!i)return;const s=4/3*Math.tan(Math.PI/8);this._setDefaultAppearance({xref:a,extra:`${this.borderStyle.width} w`,strokeColor:e,fillColor:i,strokeAlpha:r,fillAlpha:n,pointsCallback:(e,t)=>{const a=t[0]+this.borderStyle.width/2,r=t[1]-this.borderStyle.width/2,n=t[6]-this.borderStyle.width/2,o=t[7]+this.borderStyle.width/2,c=a+(n-a)/2,l=r+(o-r)/2,h=(n-a)/2*s,u=(o-r)/2*s;e.push(`${c} ${o} m`,`${c+h} ${o} ${n} ${l+u} ${n} ${l} c`,`${n} ${l-u} ${c+h} ${r} ${c} ${r} c`,`${c-h} ${r} ${a} $\
+{l-u} ${a} ${l} c`,`${a} ${l+u} ${c-h} ${o} ${c} ${o} c`,"h");i?e.push("B"):e.push("S");return[t[0],t[7],t[2],t[3]]}})}}}class PolylineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=E;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;this.data.vertices=null;if(!(this instanceof PolygonAnnotation)){this.setLineEndings(t.getArray("LE"));this.data.lineEndings=this.lineEndings}const r=t.getArray("Vertices");if(!isNumberArray(r,\
+null))return;const i=this.data.vertices=Float32Array.from(r);if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");let n,s=getRgbColor(t.getArray("IC"),null);s&&(s=getPdfColorArray(s));n=s?this.color?s.every(((t,a)=>t===e[a]))?"f":"B":"f":"S";const o=this.borderStyle.width||1,c=2*o,l=[1/0,1/0,-1/0,-1/0];for(let e=0,t=i.length;e<t;e+=2)Util.rectBoundingBox(i[e]-c,i[e+1]-c,i[e]+c,i[e+1]+c,l);Util.intersect(this.rectangle,l)||(this.rectangle=l);this._setDefaultAppearance({\
+xref:a,extra:`${o} w`,strokeColor:e,strokeAlpha:r,fillColor:s,fillAlpha:s?r:null,pointsCallback:(e,t)=>{for(let t=0,a=i.length;t<a;t+=2)e.push(`${i[t]} ${i[t+1]} ${0===t?"m":"l"}`);e.push(n);return[t[0],t[7],t[2],t[3]]}})}}}class PolygonAnnotation extends PolylineAnnotation{constructor(e){super(e);this.data.annotationType=N}}class CaretAnnotation extends MarkupAnnotation{constructor(e){super(e);this.data.annotationType=q}}class InkAnnotation extends MarkupAnnotation{constructor(e){super(e);this.\
+data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;const{dict:t,xref:a}=e;this.data.annotationType=H;this.data.inkLists=[];this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;const r=t.getArray("InkList");if(Array.isArray(r)){for(let e=0,t=r.length;e<t;++e){if(!Array.isArray(r[e]))continue;const t=new Float32Array(r[e].length);this.data.inkLists.push(t);for(let i=0,n=r[e].length;i<n;i+=2){const n=a.fetchIfRef(r[e][i]),s=a.fetchIfRef(r[e][i+1]);if("nu\
+mber"==typeof n&&"number"==typeof s){t[i]=n;t[i+1]=s}}}if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA"),i=this.borderStyle.width||1,n=2*i,s=[1/0,1/0,-1/0,-1/0];for(const e of this.data.inkLists)for(let t=0,a=e.length;t<a;t+=2)Util.rectBoundingBox(e[t]-n,e[t+1]-n,e[t]+n,e[t+1]+n,s);Util.intersect(this.rectangle,s)||(this.rectangle=s);this._setDefaultAppearance({xref:a,extra:`${i} w`,strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{for(const t of this.data.inkLists\
+){for(let a=0,r=t.length;a<r;a+=2)e.push(`${t[a]} ${t[a+1]} ${0===a?"m":"l"}`);e.push("S")}return[t[0],t[7],t[2],t[3]]}})}}}static createNewDict(e,t,{apRef:a,ap:r}){const{oldAnnotation:i,color:n,date:s,opacity:o,paths:c,outlines:l,rect:h,rotation:u,thickness:d,user:f}=e,g=i||new Dict(t);g.setIfNotExists("Type",Name.get("Annot"));g.setIfNotExists("Subtype",Name.get("Ink"));g.set(i?"M":"CreationDate",`D:${getModificationDate(s)}`);g.setIfArray("Rect",h);g.setIfArray("InkList",l?.points||c?.points)\
+;g.setIfNotExists("F",4);g.setIfNumber("Rotate",u);g.setIfDefined("T",stringToAsciiOrUTF16BE(f));l&&g.setIfName("IT","InkHighlight");if(d>0){const e=new Dict(t);g.set("BS",e);e.set("W",d)}g.setIfArray("C",getPdfColorArray(n));g.setIfNumber("CA",o);if(r||a){const e=new Dict(t);g.set("AP",e);e.set("N",a||r)}return g}static async createNewAppearanceStream(e,t,a){if(e.outlines)return this.createNewAppearanceStreamForHighlight(e,t,a);const{color:r,rect:i,paths:n,thickness:s,opacity:o}=e;if(!r)return \
+null;const c=[`${s} w 1 J 1 j`,`${getPdfColor(r,!1)}`];1!==o&&c.push("/R0 gs");for(const e of n.lines){c.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))c.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,o]=e.slice(t,t+6);c.push([a,r,i,n,s,o].map(numberToString).join(" ")+" c")}6===e.length&&c.push(`${numberToString(e[4])} ${numberToString(e[5])} l`)}c.push("S");const l=c.join("\\n"),h=new Dict(t);h.set("Fo\
+rmType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);if(1!==o){const e=new Dict(t),a=new Dict(t),r=new Dict(t);r.set("CA",o);r.setIfName("Type","ExtGState");a.set("R0",r);e.set("ExtGState",a);h.set("Resources",e)}const u=new StringStream(l);u.dict=h;return u}static async createNewAppearanceStreamForHighlight(e,t,a){const{color:r,rect:i,outlines:{outline:n},opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"];o.push(`$\
+{numberToString(n[4])} ${numberToString(n[5])} m`);for(let e=6,t=n.length;e<t;e+=6)if(isNaN(n[e]))o.push(`${numberToString(n[e+4])} ${numberToString(n[e+5])} l`);else{const[t,a,r,i,s,c]=n.slice(e,e+6);o.push([t,a,r,i,s,c].map(numberToString).join(" ")+" c")}o.push("h f");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Length",c.length);const h=new Dict(t),u=new Dict(t);h.set("ExtGState",u);l.set("Resources"\
+,h);const d=new Dict(t);u.set("R0",d);d.setIfName("BM","Multiply");if(1!==s){d.set("ca",s);d.setIfName("Type","ExtGState")}const f=new StringStream(c);f.dict=l;return f}}class HighlightAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=L;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1;this.data.opacity=t.get("CA")||1;if(this.data.quadPoints=getQuadPoints(t,null)){const e=this.appearance?.dict.get("Resources");if(!this.appearance\
+||!e?.has("ExtGState")){this.appearance&&warn("HighlightAnnotation - ignoring built-in appearance stream.");const e=getPdfColorArray(this.color,[1,1,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,fillColor:e,blendMode:"Multiply",fillAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[0]} ${t[1]} m`,`${t[2]} ${t[3]} l`,`${t[6]} ${t[7]} l`,`${t[4]} ${t[5]} l`,"f");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}static createNewDict(e,t,{apRef:a,ap:r}){c\
+onst{color:i,date:n,oldAnnotation:s,opacity:o,rect:c,rotation:l,user:h,quadPoints:u}=e,d=s||new Dict(t);d.setIfNotExists("Type",Name.get("Annot"));d.setIfNotExists("Subtype",Name.get("Highlight"));d.set(s?"M":"CreationDate",`D:${getModificationDate(n)}`);d.setIfArray("Rect",c);d.setIfNotExists("F",4);d.setIfNotExists("Border",[0,0,0]);d.setIfNumber("Rotate",l);d.setIfArray("QuadPoints",u);d.setIfArray("C",getPdfColorArray(i));d.setIfNumber("CA",o);d.setIfDefined("T",stringToAsciiOrUTF16BE(h));if\
+(a||r){const e=new Dict(t);d.set("AP",e);e.set("N",a||r)}return d}static async createNewAppearanceStream(e,t,a){const{color:r,rect:i,outlines:n,opacity:s}=e;if(!r)return null;const o=[`${getPdfColor(r,!0)}`,"/R0 gs"],c=[];for(const e of n){c.length=0;c.push(`${numberToString(e[0])} ${numberToString(e[1])} m`);for(let t=2,a=e.length;t<a;t+=2)c.push(`${numberToString(e[t])} ${numberToString(e[t+1])} l`);c.push("h");o.push(c.join("\\n"))}o.push("f*");const l=o.join("\\n"),h=new Dict(t);h.set("FormTyp\
+e",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",i);h.set("Length",l.length);const u=new Dict(t),d=new Dict(t);u.set("ExtGState",d);h.set("Resources",u);const f=new Dict(t);d.set("R0",f);f.setIfName("BM","Multiply");if(1!==s){f.set("ca",s);f.setIfName("Type","ExtGState")}const g=new StringStream(l);g.dict=h;return g}}class UnderlineAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=j;if(this.data.quadPoints=ge\
+tQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 0.571 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push(`${t[4]} ${t[5]+1.3} m`,`${t[6]} ${t[7]+1.3} l`,"S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class SquigglyAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=_;if(this.d\
+ata.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{const a=(t[1]-t[5])/6;let r=a,i=t[4];const n=t[5],s=t[6];e.push(`${i} ${n+r} m`);do{i+=2;r=0===r?a:0;e.push(`${i} ${n+r} l`)}while(i<s);e.push("S");return[t[4],n-2*a,s,n+2*a]}})}}else this.data.popupRef=null}get overlaysTextContent(){return!0}}class StrikeOutAnnotation extends\
+ MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e;this.data.annotationType=U;if(this.data.quadPoints=getQuadPoints(t,null)){if(!this.appearance){const e=getPdfColorArray(this.color,[0,0,0]),r=t.get("CA");this._setDefaultAppearance({xref:a,extra:"[] 0 d 1 w",strokeColor:e,strokeAlpha:r,pointsCallback:(e,t)=>{e.push((t[0]+t[4])/2+" "+(t[1]+t[5])/2+" m",(t[2]+t[6])/2+" "+(t[3]+t[7])/2+" l","S");return[t[0],t[7],t[2],t[3]]}})}}else this.data.popupRef=null}get overlaysTextContent(){ret\
+urn!0}}class StampAnnotation extends MarkupAnnotation{#pe=null;constructor(e){super(e);this.data.annotationType=X;this.data.hasOwnCanvas=this.data.noRotate;this.data.isEditable=!this.data.noHTML;this.data.noHTML=!1}mustBeViewedWhenEditing(e,t=null){if(e){if(!this.data.isEditable)return!0;this.#pe??=this.data.hasOwnCanvas;this.data.hasOwnCanvas=!0;return!0}if(null!==this.#pe){this.data.hasOwnCanvas=this.#pe;this.#pe=null}return!t?.has(this.data.id)}static async createImage(e,t){const{width:a,heig\
+ht:r}=e,i=new OffscreenCanvas(a,r),n=i.getContext("2d",{alpha:!0});n.drawImage(e,0,0);const s=n.getImageData(0,0,a,r).data,o=new Uint32Array(s.buffer),c=o.some(FeatureTest.isLittleEndian?e=>e>>>24!=255:e=>!!(255&~e));if(c){n.fillStyle="white";n.fillRect(0,0,a,r);n.drawImage(e,0,0)}const l=i.convertToBlob({type:"image/jpeg",quality:1}).then((e=>e.arrayBuffer())),h=Name.get("XObject"),u=Name.get("Image"),d=new Dict(t);d.set("Type",h);d.set("Subtype",u);d.set("BitsPerComponent",8);d.setIfName("Colo\
+rSpace","DeviceRGB");d.setIfName("Filter","DCTDecode");d.set("BBox",[0,0,a,r]);d.set("Width",a);d.set("Height",r);let f=null;if(c){const e=new Uint8Array(o.length);if(FeatureTest.isLittleEndian)for(let t=0,a=o.length;t<a;t++)e[t]=o[t]>>>24;else for(let t=0,a=o.length;t<a;t++)e[t]=255&o[t];const i=new Dict(t);i.set("Type",h);i.set("Subtype",u);i.set("BitsPerComponent",8);i.setIfName("ColorSpace","DeviceGray");i.set("Width",a);i.set("Height",r);f=new Stream(e,0,0,i)}return{imageStream:new Stream(a\
+wait l,0,0,d),smaskStream:f,width:a,height:r}}static createNewDict(e,t,{apRef:a,ap:r}){const{date:i,oldAnnotation:n,rect:s,rotation:o,user:c}=e,l=n||new Dict(t);l.setIfNotExists("Type",Name.get("Annot"));l.setIfNotExists("Subtype",Name.get("Stamp"));l.set(n?"M":"CreationDate",`D:${getModificationDate(i)}`);l.setIfArray("Rect",s);l.setIfNotExists("F",4);l.setIfNotExists("Border",[0,0,0]);l.setIfNumber("Rotate",o);l.setIfDefined("T",stringToAsciiOrUTF16BE(c));if(a||r){const e=new Dict(t);l.set("AP\
+",e);e.set("N",a||r)}return l}static async#me(e,t){const{areContours:a,color:r,rect:i,lines:n,thickness:s}=e;if(!r)return null;const o=[`${s} w 1 J 1 j`,`${getPdfColor(r,a)}`];for(const e of n){o.push(`${numberToString(e[4])} ${numberToString(e[5])} m`);for(let t=6,a=e.length;t<a;t+=6)if(isNaN(e[t]))o.push(`${numberToString(e[t+4])} ${numberToString(e[t+5])} l`);else{const[a,r,i,n,s,c]=e.slice(t,t+6);o.push([a,r,i,n,s,c].map(numberToString).join(" ")+" c")}6===e.length&&o.push(`${numberToString(\
+e[4])} ${numberToString(e[5])} l`)}o.push(a?"F":"S");const c=o.join("\\n"),l=new Dict(t);l.set("FormType",1);l.setIfName("Subtype","Form");l.setIfName("Type","XObject");l.set("BBox",i);l.set("Length",c.length);const h=new StringStream(c);h.dict=l;return h}static async createNewAppearanceStream(e,t,a){if(e.oldAnnotation)return null;if(e.isSignature)return this.#me(e,t);const{rotation:r}=e,{imageRef:i,width:n,height:s}=a.image,o=new Dict(t),c=new Dict(t);o.set("XObject",c);c.set("Im0",i);const l=`q\
+ ${n} 0 0 ${s} 0 0 cm /Im0 Do Q`,h=new Dict(t);h.set("FormType",1);h.setIfName("Subtype","Form");h.setIfName("Type","XObject");h.set("BBox",[0,0,n,s]);h.set("Resources",o);if(r){const e=getRotationMatrix(r,n,s);h.set("Matrix",e)}const u=new StringStream(l);u.dict=h;return u}}class FileAttachmentAnnotation extends MarkupAnnotation{constructor(e){super(e);const{dict:t,xref:a}=e,r=new FileSpec(t.get("FS"),a);this.data.annotationType=z;this.data.hasOwnCanvas=this.data.noRotate;this.data.noHTML=!1;th\
+is.data.file=r.serializable;const i=t.get("Name");this.data.name=i instanceof Name?stringToPDFString(i.name):"PushPin";const n=t.get("ca");this.data.fillAlpha="number"==typeof n&&n>=0&&n<=1?n:null}}const pc={get r(){return shadow(this,"r",new Uint8Array([7,12,17,22,7,12,17,22,7,12,17,22,7,12,17,22,5,9,14,20,5,9,14,20,5,9,14,20,5,9,14,20,4,11,16,23,4,11,16,23,4,11,16,23,4,11,16,23,6,10,15,21,6,10,15,21,6,10,15,21,6,10,15,21]))},get k(){return shadow(this,"k",new Int32Array([-680876936,-389564586,\
+606105819,-1044525330,-176418897,1200080426,-1473231341,-45705983,1770035416,-1958414417,-42063,-1990404162,1804603682,-40341101,-1502002290,1236535329,-165796510,-1069501632,643717713,-373897302,-701558691,38016083,-660478335,-405537848,568446438,-1019803690,-187363961,1163531501,-1444681467,-51403784,1735328473,-1926607734,-378558,-2022574463,1839030562,-35309556,-1530992060,1272893353,-155497632,-1094730640,681279174,-358537222,-722521979,76029189,-640364487,-421815835,530742520,-995338651,-1\
+98630844,1126891415,-1416354905,-57434055,1700485571,-1894986606,-1051523,-2054922799,1873313359,-30611744,-1560198380,1309151649,-145523070,-1120210379,718787259,-343485551]))}};function calculateMD5(e,t,a){let r=1732584193,i=-271733879,n=-1732584194,s=271733878;const o=a+72&-64,c=new Uint8Array(o);let l,h;for(l=0;l<a;++l)c[l]=e[t++];c[l++]=128;const u=o-8;l<u&&(l=u);c[l++]=a<<3&255;c[l++]=a>>5&255;c[l++]=a>>13&255;c[l++]=a>>21&255;c[l++]=a>>>29&255;l+=3;const d=new Int32Array(16),{k:f,r:g}=pc;\
+for(l=0;l<o;){for(h=0;h<16;++h,l+=4)d[h]=c[l]|c[l+1]<<8|c[l+2]<<16|c[l+3]<<24;let e,t,a=r,o=i,u=n,p=s;for(h=0;h<64;++h){if(h<16){e=o&u|~o&p;t=h}else if(h<32){e=p&o|~p&u;t=5*h+1&15}else if(h<48){e=o^u^p;t=3*h+5&15}else{e=u^(o|~p);t=7*h&15}const r=p,i=a+e+f[h]+d[t]|0,n=g[h];p=u;u=o;o=o+(i<<n|i>>>32-n)|0;a=r}r=r+a|0;i=i+o|0;n=n+u|0;s=s+p|0}return new Uint8Array([255&r,r>>8&255,r>>16&255,r>>>24&255,255&i,i>>8&255,i>>16&255,i>>>24&255,255&n,n>>8&255,n>>16&255,n>>>24&255,255&s,s>>8&255,s>>16&255,s>>>2\
+4&255])}function decodeString(e){try{return stringToUTF8String(e)}catch(t){warn(`UTF-8 decoding failed: "${t}".`);return e}}class DatasetXMLParser extends SimpleXMLParser{constructor(e){super(e);this.node=null}onEndElement(e){const t=super.onEndElement(e);if(t&&"xfa:datasets"===e){this.node=t;throw new Error("Aborting DatasetXMLParser.")}}}class DatasetReader{constructor(e){if(e.datasets)this.node=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e.datasets).documentElement;else{const t=ne\
+w DatasetXMLParser({hasAttributes:!0});try{t.parseFromString(e["xdp:xdp"])}catch{}this.node=t.node}}getValue(e){if(!this.node||!e)return"";const t=this.node.searchNode(parseXFAPath(e),0);if(!t)return"";const a=t.firstChild;return"value"===a?.nodeName?t.children.map((e=>decodeString(e.textContent))):decodeString(t.textContent)}}class SingleIntersector{#be;#ye=1/0;#we=1/0;#xe=-1/0;#Se=-1/0;#Ae=null;#ke=[];#Ce=[];#ve=-1;#Fe=!1;constructor(e){this.#be=e;const t=e.data.quadPoints;if(t){for(let e=0,a=\
+t.length;e<a;e+=8){this.#ye=Math.min(this.#ye,t[e]);this.#xe=Math.max(this.#xe,t[e+2]);this.#we=Math.min(this.#we,t[e+5]);this.#Se=Math.max(this.#Se,t[e+1])}t.length>8&&(this.#Ae=t)}else[this.#ye,this.#we,this.#xe,this.#Se]=e.data.rect}overlaps(e){return!(this.#ye>=e.#xe||this.#xe<=e.#ye||this.#we>=e.#Se||this.#Se<=e.#we)}#Ie(e,t){if(this.#ye>=e||this.#xe<=e||this.#we>=t||this.#Se<=t)return!1;const a=this.#Ae;if(!a)return!0;if(this.#ve>=0){const r=this.#ve;if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r\
++1]<=t))return!0;this.#ve=-1}for(let r=0,i=a.length;r<i;r+=8)if(!(a[r]>=e||a[r+2]<=e||a[r+5]>=t||a[r+1]<=t)){this.#ve=r;return!0}return!1}addGlyph(e,t,a){if(!this.#Ie(e,t)){this.disableExtraChars();return!1}if(this.#Ce.length>0){this.#ke.push(this.#Ce.join(""));this.#Ce.length=0}this.#ke.push(a);this.#Fe=!0;return!0}addExtraChar(e){this.#Fe&&this.#Ce.push(e)}disableExtraChars(){if(this.#Fe){this.#Fe=!1;this.#Ce.length=0}}setText(){this.#be.data.overlaidText=this.#ke.join("")}}class Intersector{#\
+Te=new Map;constructor(e){for(const t of e){if(!t.data.quadPoints&&!t.data.rect)continue;const e=new SingleIntersector(t);for(const[t,a]of this.#Te)t.overlaps(e)&&(a?a.add(e):this.#Te.set(t,new Set([e])));this.#Te.set(e,null)}}addGlyph(e,t,a,r){const i=e[4]+t/2,n=e[5]+a/2;let s;for(const[e,t]of this.#Te)s?s.has(e)?e.addGlyph(i,n,r):e.disableExtraChars():e.addGlyph(i,n,r)&&(s=t)}addExtraChar(e){for(const t of this.#Te.keys())t.addExtraChar(e)}setText(){for(const e of this.#Te.keys())e.setText()}}\
+class Word64{constructor(e,t){this.high=0|e;this.low=0|t}and(e){this.high&=e.high;this.low&=e.low}xor(e){this.high^=e.high;this.low^=e.low}shiftRight(e){if(e>=32){this.low=this.high>>>e-32|0;this.high=0}else{this.low=this.low>>>e|this.high<<32-e;this.high=this.high>>>e|0}}rotateRight(e){let t,a;if(32&e){a=this.low;t=this.high}else{t=this.low;a=this.high}e&=31;this.low=t>>>e|a<<32-e;this.high=a>>>e|t<<32-e}not(){this.high=~this.high;this.low=~this.low}add(e){const t=(this.low>>>0)+(e.low>>>0);let\
+ a=(this.high>>>0)+(e.high>>>0);t>4294967295&&(a+=1);this.low=0|t;this.high=0|a}copyTo(e,t){e[t]=this.high>>>24&255;e[t+1]=this.high>>16&255;e[t+2]=this.high>>8&255;e[t+3]=255&this.high;e[t+4]=this.low>>>24&255;e[t+5]=this.low>>16&255;e[t+6]=this.low>>8&255;e[t+7]=255&this.low}assign(e){this.high=e.high;this.low=e.low}}const mc={get k(){return shadow(this,"k",[new Word64(1116352408,3609767458),new Word64(1899447441,602891725),new Word64(3049323471,3964484399),new Word64(3921009573,2173295548),ne\
+w Word64(961987163,4081628472),new Word64(1508970993,3053834265),new Word64(2453635748,2937671579),new Word64(2870763221,3664609560),new Word64(3624381080,2734883394),new Word64(310598401,1164996542),new Word64(607225278,1323610764),new Word64(1426881987,3590304994),new Word64(1925078388,4068182383),new Word64(2162078206,991336113),new Word64(2614888103,633803317),new Word64(3248222580,3479774868),new Word64(3835390401,2666613458),new Word64(4022224774,944711139),new Word64(264347078,2341262773)\
+,new Word64(604807628,2007800933),new Word64(770255983,1495990901),new Word64(1249150122,1856431235),new Word64(1555081692,3175218132),new Word64(1996064986,2198950837),new Word64(2554220882,3999719339),new Word64(2821834349,766784016),new Word64(2952996808,2566594879),new Word64(3210313671,3203337956),new Word64(3336571891,1034457026),new Word64(3584528711,2466948901),new Word64(113926993,3758326383),new Word64(338241895,168717936),new Word64(666307205,1188179964),new Word64(773529912,154604573\
+4),new Word64(1294757372,1522805485),new Word64(1396182291,2643833823),new Word64(1695183700,2343527390),new Word64(1986661051,1014477480),new Word64(2177026350,1206759142),new Word64(2456956037,344077627),new Word64(2730485921,1290863460),new Word64(2820302411,3158454273),new Word64(3259730800,3505952657),new Word64(3345764771,106217008),new Word64(3516065817,3606008344),new Word64(3600352804,1432725776),new Word64(4094571909,1467031594),new Word64(275423344,851169720),new Word64(430227734,3100\
+823752),new Word64(506948616,1363258195),new Word64(659060556,3750685593),new Word64(883997877,3785050280),new Word64(958139571,3318307427),new Word64(1322822218,3812723403),new Word64(1537002063,2003034995),new Word64(1747873779,3602036899),new Word64(1955562222,1575990012),new Word64(2024104815,1125592928),new Word64(2227730452,2716904306),new Word64(2361852424,442776044),new Word64(2428436474,593698344),new Word64(2756734187,3733110249),new Word64(3204031479,2999351573),new Word64(3329325298,\
+3815920427),new Word64(3391569614,3928383900),new Word64(3515267271,566280711),new Word64(3940187606,3454069534),new Word64(4118630271,4000239992),new Word64(116418474,1914138554),new Word64(174292421,2731055270),new Word64(289380356,3203993006),new Word64(460393269,320620315),new Word64(685471733,587496836),new Word64(852142971,1086792851),new Word64(1017036298,365543100),new Word64(1126000580,2618297676),new Word64(1288033470,3409855158),new Word64(1501505948,4234509866),new Word64(1607167915,\
+987167468),new Word64(1816402316,1246189591)])}};function ch(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.not();i.and(r);e.xor(i)}function maj(e,t,a,r,i){e.assign(t);e.and(a);i.assign(t);i.and(r);e.xor(i);i.assign(a);i.and(r);e.xor(i)}function sigma(e,t,a){e.assign(t);e.rotateRight(28);a.assign(t);a.rotateRight(34);e.xor(a);a.assign(t);a.rotateRight(39);e.xor(a)}function sigmaPrime(e,t,a){e.assign(t);e.rotateRight(14);a.assign(t);a.rotateRight(18);e.xor(a);a.assign(t);a.rotateRight(41);e.xor(a)\
+}function littleSigma(e,t,a){e.assign(t);e.rotateRight(1);a.assign(t);a.rotateRight(8);e.xor(a);a.assign(t);a.shiftRight(7);e.xor(a)}function littleSigmaPrime(e,t,a){e.assign(t);e.rotateRight(19);a.assign(t);a.rotateRight(61);e.xor(a);a.assign(t);a.shiftRight(6);e.xor(a)}function calculateSHA512(e,t,a,r=!1){let i,n,s,o,c,l,h,u;if(r){i=new Word64(3418070365,3238371032);n=new Word64(1654270250,914150663);s=new Word64(2438529370,812702999);o=new Word64(355462360,4144912697);c=new Word64(1731405415,\
+4290775857);l=new Word64(2394180231,1750603025);h=new Word64(3675008525,1694076839);u=new Word64(1203062813,3204075428)}else{i=new Word64(1779033703,4089235720);n=new Word64(3144134277,2227873595);s=new Word64(1013904242,4271175723);o=new Word64(2773480762,1595750129);c=new Word64(1359893119,2917565137);l=new Word64(2600822924,725511199);h=new Word64(528734635,4215389547);u=new Word64(1541459225,327033209)}const d=128*Math.ceil((a+17)/128),f=new Uint8Array(d);let g,p;for(g=0;g<a;++g)f[g]=e[t++];\
+f[g++]=128;const m=d-16;g<m&&(g=m);g+=11;f[g++]=a>>>29&255;f[g++]=a>>21&255;f[g++]=a>>13&255;f[g++]=a>>5&255;f[g++]=a<<3&255;const b=new Array(80);for(g=0;g<80;g++)b[g]=new Word64(0,0);const{k:y}=mc;let w=new Word64(0,0),x=new Word64(0,0),S=new Word64(0,0),k=new Word64(0,0),C=new Word64(0,0),v=new Word64(0,0),F=new Word64(0,0),T=new Word64(0,0);const O=new Word64(0,0),M=new Word64(0,0),D=new Word64(0,0),R=new Word64(0,0);let N,E;for(g=0;g<d;){for(p=0;p<16;++p){b[p].high=f[g]<<24|f[g+1]<<16|f[g+2\
+]<<8|f[g+3];b[p].low=f[g+4]<<24|f[g+5]<<16|f[g+6]<<8|f[g+7];g+=8}for(p=16;p<80;++p){N=b[p];littleSigmaPrime(N,b[p-2],R);N.add(b[p-7]);littleSigma(D,b[p-15],R);N.add(D);N.add(b[p-16])}w.assign(i);x.assign(n);S.assign(s);k.assign(o);C.assign(c);v.assign(l);F.assign(h);T.assign(u);for(p=0;p<80;++p){O.assign(T);sigmaPrime(D,C,R);O.add(D);ch(D,C,v,F,R);O.add(D);O.add(y[p]);O.add(b[p]);sigma(M,w,R);maj(D,w,x,S,R);M.add(D);N=T;T=F;F=v;v=C;k.add(O);C=k;k=S;S=x;x=w;N.assign(O);N.add(M);w=N}i.add(w);n.add\
+(x);s.add(S);o.add(k);c.add(C);l.add(v);h.add(F);u.add(T)}if(r){E=new Uint8Array(48);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40)}else{E=new Uint8Array(64);i.copyTo(E,0);n.copyTo(E,8);s.copyTo(E,16);o.copyTo(E,24);c.copyTo(E,32);l.copyTo(E,40);h.copyTo(E,48);u.copyTo(E,56)}return E}const bc={get k(){return shadow(this,"k",[1116352408,1899447441,3049323471,3921009573,961987163,1508970993,2453635748,2870763221,3624381080,310598401,607225278,1426881987,192\
+5078388,2162078206,2614888103,3248222580,3835390401,4022224774,264347078,604807628,770255983,1249150122,1555081692,1996064986,2554220882,2821834349,2952996808,3210313671,3336571891,3584528711,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,2177026350,2456956037,2730485921,2820302411,3259730800,3345764771,3516065817,3600352804,4094571909,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,2227730452\
+,2361852424,2428436474,2756734187,3204031479,3329325298])}};function rotr(e,t){return e>>>t|e<<32-t}function calculate_sha256_ch(e,t,a){return e&t^~e&a}function calculate_sha256_maj(e,t,a){return e&t^e&a^t&a}function calculate_sha256_sigma(e){return rotr(e,2)^rotr(e,13)^rotr(e,22)}function calculate_sha256_sigmaPrime(e){return rotr(e,6)^rotr(e,11)^rotr(e,25)}function calculate_sha256_littleSigma(e){return rotr(e,7)^rotr(e,18)^e>>>3}function calculateSHA256(e,t,a){let r=1779033703,i=3144134277,n=\
+1013904242,s=2773480762,o=1359893119,c=2600822924,l=528734635,h=1541459225;const u=64*Math.ceil((a+9)/64),d=new Uint8Array(u);let f,g;for(f=0;f<a;++f)d[f]=e[t++];d[f++]=128;const p=u-8;f<p&&(f=p);f+=3;d[f++]=a>>>29&255;d[f++]=a>>21&255;d[f++]=a>>13&255;d[f++]=a>>5&255;d[f++]=a<<3&255;const m=new Uint32Array(64),{k:b}=bc;for(f=0;f<u;){for(g=0;g<16;++g){m[g]=d[f]<<24|d[f+1]<<16|d[f+2]<<8|d[f+3];f+=4}for(g=16;g<64;++g)m[g]=(rotr(y=m[g-2],17)^rotr(y,19)^y>>>10)+m[g-7]+calculate_sha256_littleSigma(m[\
+g-15])+m[g-16]|0;let e,t,a=r,u=i,p=n,w=s,x=o,S=c,k=l,C=h;for(g=0;g<64;++g){e=C+calculate_sha256_sigmaPrime(x)+calculate_sha256_ch(x,S,k)+b[g]+m[g];t=calculate_sha256_sigma(a)+calculate_sha256_maj(a,u,p);C=k;k=S;S=x;x=w+e|0;w=p;p=u;u=a;a=e+t|0}r=r+a|0;i=i+u|0;n=n+p|0;s=s+w|0;o=o+x|0;c=c+S|0;l=l+k|0;h=h+C|0}var y;return new Uint8Array([r>>24&255,r>>16&255,r>>8&255,255&r,i>>24&255,i>>16&255,i>>8&255,255&i,n>>24&255,n>>16&255,n>>8&255,255&n,s>>24&255,s>>16&255,s>>8&255,255&s,o>>24&255,o>>16&255,o>>8\
+&255,255&o,c>>24&255,c>>16&255,c>>8&255,255&c,l>>24&255,l>>16&255,l>>8&255,255&l,h>>24&255,h>>16&255,h>>8&255,255&h])}class DecryptStream extends DecodeStream{constructor(e,t,a){super(t);this.str=e;this.dict=e.dict;this.decrypt=a;this.nextChunk=null;this.initialized=!1}readBlock(){let e;if(this.initialized)e=this.nextChunk;else{e=this.str.getBytes(512);this.initialized=!0}if(!e?.length){this.eof=!0;return}this.nextChunk=this.str.getBytes(512);const t=this.nextChunk?.length>0;e=(0,this.decrypt)(e\
+,!t);const a=this.bufferLength,r=a+e.length;this.ensureBuffer(r).set(e,a);this.bufferLength=r}}class ARCFourCipher{constructor(e){this.a=0;this.b=0;const t=new Uint8Array(256),a=e.length;for(let e=0;e<256;++e)t[e]=e;for(let r=0,i=0;r<256;++r){const n=t[r];i=i+n+e[r%a]&255;t[r]=t[i];t[i]=n}this.s=t}encryptBlock(e){let t=this.a,a=this.b;const r=this.s,i=e.length,n=new Uint8Array(i);for(let s=0;s<i;++s){t=t+1&255;const i=r[t];a=a+i&255;const o=r[a];r[t]=o;r[a]=i;n[s]=e[s]^r[i+o&255]}this.a=t;this.b\
+=a;return n}decryptBlock(e){return this.encryptBlock(e)}encrypt(e){return this.encryptBlock(e)}}class NullCipher{decryptBlock(e){return e}encrypt(e){return e}}class AESBaseCipher{_s=new Uint8Array([99,124,119,123,242,107,111,197,48,1,103,43,254,215,171,118,202,130,201,125,250,89,71,240,173,212,162,175,156,164,114,192,183,253,147,38,54,63,247,204,52,165,229,241,113,216,49,21,4,199,35,195,24,150,5,154,7,18,128,226,235,39,178,117,9,131,44,26,27,110,90,160,82,59,214,179,41,227,47,132,83,209,0,237,32\
+,252,177,91,106,203,190,57,74,76,88,207,208,239,170,251,67,77,51,133,69,249,2,127,80,60,159,168,81,163,64,143,146,157,56,245,188,182,218,33,16,255,243,210,205,12,19,236,95,151,68,23,196,167,126,61,100,93,25,115,96,129,79,220,34,42,144,136,70,238,184,20,222,94,11,219,224,50,58,10,73,6,36,92,194,211,172,98,145,149,228,121,231,200,55,109,141,213,78,169,108,86,244,234,101,122,174,8,186,120,37,46,28,166,180,198,232,221,116,31,75,189,139,138,112,62,181,102,72,3,246,14,97,53,87,185,134,193,29,158,225,2\
+48,152,17,105,217,142,148,155,30,135,233,206,85,40,223,140,161,137,13,191,230,66,104,65,153,45,15,176,84,187,22]);_inv_s=new Uint8Array([82,9,106,213,48,54,165,56,191,64,163,158,129,243,215,251,124,227,57,130,155,47,255,135,52,142,67,68,196,222,233,203,84,123,148,50,166,194,35,61,238,76,149,11,66,250,195,78,8,46,161,102,40,217,36,178,118,91,162,73,109,139,209,37,114,248,246,100,134,104,152,22,212,164,92,204,93,101,182,146,108,112,72,80,253,237,185,218,94,21,70,87,167,141,157,132,144,216,171,0,14\
+0,188,211,10,247,228,88,5,184,179,69,6,208,44,30,143,202,63,15,2,193,175,189,3,1,19,138,107,58,145,17,65,79,103,220,234,151,242,207,206,240,180,230,115,150,172,116,34,231,173,53,133,226,249,55,232,28,117,223,110,71,241,26,113,29,41,197,137,111,183,98,14,170,24,190,27,252,86,62,75,198,210,121,32,154,219,192,254,120,205,90,244,31,221,168,51,136,7,199,49,177,18,16,89,39,128,236,95,96,81,127,169,25,181,74,13,45,229,122,159,147,201,156,239,160,224,59,77,174,42,245,176,200,235,187,60,131,83,153,97,23,\
+43,4,126,186,119,214,38,225,105,20,99,85,33,12,125]);_mix=new Uint32Array([0,235474187,470948374,303765277,941896748,908933415,607530554,708780849,1883793496,2118214995,1817866830,1649639237,1215061108,1181045119,1417561698,1517767529,3767586992,4003061179,4236429990,4069246893,3635733660,3602770327,3299278474,3400528769,2430122216,2664543715,2362090238,2193862645,2835123396,2801107407,3035535058,3135740889,3678124923,3576870512,3341394285,3374361702,3810496343,3977675356,4279080257,4043610186,2\
+876494627,2776292904,3076639029,3110650942,2472011535,2640243204,2403728665,2169303058,1001089995,899835584,666464733,699432150,59727847,226906860,530400753,294930682,1273168787,1172967064,1475418501,1509430414,1942435775,2110667444,1876241833,1641816226,2910219766,2743034109,2976151520,3211623147,2505202138,2606453969,2302690252,2269728455,3711829422,3543599269,3240894392,3475313331,3843699074,3943906441,4178062228,4144047775,1306967366,1139781709,1374988112,1610459739,1975683434,2076935265,177\
+5276924,1742315127,1034867998,866637845,566021896,800440835,92987698,193195065,429456164,395441711,1984812685,2017778566,1784663195,1683407248,1315562145,1080094634,1383856311,1551037884,101039829,135050206,437757123,337553864,1042385657,807962610,573804783,742039012,2531067453,2564033334,2328828971,2227573024,2935566865,2700099354,3001755655,3168937228,3868552805,3902563182,4203181171,4102977912,3736164937,3501741890,3265478751,3433712980,1106041591,1340463100,1576976609,1408749034,2043211483,2\
+009195472,1708848333,1809054150,832877231,1068351396,766945465,599762354,159417987,126454664,361929877,463180190,2709260871,2943682380,3178106961,3009879386,2572697195,2538681184,2236228733,2336434550,3509871135,3745345300,3441850377,3274667266,3910161971,3877198648,4110568485,4211818798,2597806476,2497604743,2261089178,2295101073,2733856160,2902087851,3202437046,2968011453,3936291284,3835036895,4136440770,4169408201,3535486456,3702665459,3467192302,3231722213,2051518780,1951317047,1716890410,17\
+50902305,1113818384,1282050075,1584504582,1350078989,168810852,67556463,371049330,404016761,841739592,1008918595,775550814,540080725,3969562369,3801332234,4035489047,4269907996,3569255213,3669462566,3366754619,3332740144,2631065433,2463879762,2160117071,2395588676,2767645557,2868897406,3102011747,3069049960,202008497,33778362,270040487,504459436,875451293,975658646,675039627,641025152,2084704233,1917518562,1615861247,1851332852,1147550661,1248802510,1484005843,1451044056,933301370,967311729,7331\
+56972,632953703,260388950,25965917,328671808,496906059,1206477858,1239443753,1543208500,1441952575,2144161806,1908694277,1675577880,1842759443,3610369226,3644379585,3408119516,3307916247,4011190502,3776767469,4077384432,4245618683,2809771154,2842737049,3144396420,3043140495,2673705150,2438237621,2203032232,2370213795]);_mixCol=new Uint8Array(256).map(((e,t)=>t<128?t<<1:t<<1^27));constructor(){this.buffer=new Uint8Array(16);this.bufferPosition=0}_expandKey(e){unreachable("Cannot call `_expandKey`\
+ on the base class")}_decrypt(e,t){let a,r,i;const n=new Uint8Array(16);n.set(e);for(let e=0,a=this._keySize;e<16;++e,++a)n[e]^=t[a];for(let e=this._cyclesOfRepetition-1;e>=1;--e){a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e)n[e]=this._inv_s[n[e]];for(let a=0,r=16*e;a<16;++a,++r)n[a]^=t[r];for(let e=0;e<16;e+=4){const t=this._mix[n[e]],r=this._mix[n[e+1]],i=this._mix[\
+n[e+2]],s=this._mix[n[e+3]];a=t^r>>>8^r<<24^i>>>16^i<<16^s>>>24^s<<8;n[e]=a>>>24&255;n[e+1]=a>>16&255;n[e+2]=a>>8&255;n[e+3]=255&a}}a=n[13];n[13]=n[9];n[9]=n[5];n[5]=n[1];n[1]=a;a=n[14];r=n[10];n[14]=n[6];n[10]=n[2];n[6]=a;n[2]=r;a=n[15];r=n[11];i=n[7];n[15]=n[3];n[11]=a;n[7]=r;n[3]=i;for(let e=0;e<16;++e){n[e]=this._inv_s[n[e]];n[e]^=t[e]}return n}_encrypt(e,t){const a=this._s;let r,i,n;const s=new Uint8Array(16);s.set(e);for(let e=0;e<16;++e)s[e]^=t[e];for(let e=1;e<this._cyclesOfRepetition;e+\
++){for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0;e<16;e+=4){const t=s[e],a=s[e+1],i=s[e+2],n=s[e+3];r=t^a^i^n;s[e]^=r^this._mixCol[t^a];s[e+1]^=r^this._mixCol[a^i];s[e+2]^=r^this._mixCol[i^n];s[e+3]^=r^this._mixCol[n^t]}for(let a=0,r=16*e;a<16;++a,++r)s[a]^=t[r]}for(let e=0;e<16;++e)s[e]=a[s[e]];n=s[1];s[1]=s[5];s[5]=s[9];s[9]=s[13];s[13]=n;n=s\
+[2];i=s[6];s[2]=s[10];s[6]=s[14];s[10]=n;s[14]=i;n=s[3];i=s[7];r=s[11];s[3]=s[15];s[7]=n;s[11]=i;s[15]=r;for(let e=0,a=this._keySize;e<16;++e,++a)s[e]^=t[a];return s}_decryptBlock2(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];let s=this.iv;for(let t=0;t<a;++t){r[i]=e[t];++i;if(i<16)continue;const a=this._decrypt(r,this._key);for(let e=0;e<16;++e)a[e]^=s[e];s=r;n.push(a);r=new Uint8Array(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=s;if(0===n.length)return new Uin\
+t8Array(0);let o=16*n.length;if(t){const e=n.at(-1);let t=e[15];if(t<=16){for(let a=15,r=16-t;a>=r;--a)if(e[a]!==t){t=0;break}o-=t;n[n.length-1]=e.subarray(0,16-t)}}const c=new Uint8Array(o);for(let e=0,t=0,a=n.length;e<a;++e,t+=16)c.set(n[e],t);return c}decryptBlock(e,t,a=null){const r=e.length,i=this.buffer;let n=this.bufferPosition;if(a)this.iv=a;else{for(let t=0;n<16&&t<r;++t,++n)i[n]=e[t];if(n<16){this.bufferLength=n;return new Uint8Array(0)}this.iv=i;e=e.subarray(16)}this.buffer=new Uint8A\
+rray(16);this.bufferLength=0;this.decryptBlock=this._decryptBlock2;return this.decryptBlock(e,t)}encrypt(e,t){const a=e.length;let r=this.buffer,i=this.bufferPosition;const n=[];t||=new Uint8Array(16);for(let s=0;s<a;++s){r[i]=e[s];++i;if(i<16)continue;for(let e=0;e<16;++e)r[e]^=t[e];const a=this._encrypt(r,this._key);t=a;n.push(a);r=new Uint8Array(16);i=0}this.buffer=r;this.bufferLength=i;this.iv=t;if(0===n.length)return new Uint8Array(0);const s=16*n.length,o=new Uint8Array(s);for(let e=0,t=0,\
+a=n.length;e<a;++e,t+=16)o.set(n[e],t);return o}}class AES128Cipher extends AESBaseCipher{_rcon=new Uint8Array([141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54\
+,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,232,203,141,1,2,4,8,16,32,64,128,27,54,108,216,171,77,154,47,94,188,99,198,151,53,106,212,179,125,250,239,197,145,57,114,228,211,189,97,194,159,37,74,148,51,102,204,131,29,58,116,2\
+32,203,141]);constructor(e){super();this._cyclesOfRepetition=10;this._keySize=160;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=this._rcon,r=new Uint8Array(176);r.set(e);for(let e=16,i=1;e<176;++i){let n=r[e-3],s=r[e-2],o=r[e-1],c=r[e-4];n=t[n];s=t[s];o=t[o];c=t[c];n^=a[i];for(let t=0;t<4;++t){r[e]=n^=r[e-16];e++;r[e]=s^=r[e-16];e++;r[e]=o^=r[e-16];e++;r[e]=c^=r[e-16];e++}}return r}}class AES256Cipher extends AESBaseCipher{constructor(e){super();this._cyclesOfRepetition=14;this._k\
+eySize=224;this._key=this._expandKey(e)}_expandKey(e){const t=this._s,a=new Uint8Array(240);a.set(e);let r,i,n,s,o=1;for(let e=32,c=1;e<240;++c){if(e%32==16){r=t[r];i=t[i];n=t[n];s=t[s]}else if(e%32==0){r=a[e-3];i=a[e-2];n=a[e-1];s=a[e-4];r=t[r];i=t[i];n=t[n];s=t[s];r^=o;(o<<=1)>=256&&(o=255&(27^o))}for(let t=0;t<4;++t){a[e]=r^=a[e-32];e++;a[e]=i^=a[e-32];e++;a[e]=n^=a[e-32];e++;a[e]=s^=a[e-32];e++}}return a}}class PDFBase{_hash(e,t,a){unreachable("Abstract method `_hash` called")}checkOwnerPass\
+word(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);return isArrayEqual(this._hash(e,i,a),r)}checkUserPassword(e,t,a){const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);return isArrayEqual(this._hash(e,r,[]),a)}getOwnerKey(e,t,a,r){const i=new Uint8Array(e.length+56);i.set(e,0);i.set(t,e.length);i.set(a,e.length+t.length);const n=this._hash(e,i,a);return new AES256Cipher(n).decryptBlock(r,!1,new Uint8Array(16))}getUserKey(e,t,a){\
+const r=new Uint8Array(e.length+8);r.set(e,0);r.set(t,e.length);const i=this._hash(e,r,[]);return new AES256Cipher(i).decryptBlock(a,!1,new Uint8Array(16))}}class PDF17 extends PDFBase{_hash(e,t,a){return calculateSHA256(t,0,t.length)}}class PDF20 extends PDFBase{_hash(e,t,a){let r=calculateSHA256(t,0,t.length).subarray(0,32),i=[0],n=0;for(;n<64||i.at(-1)>n-32;){const t=e.length+r.length+a.length,l=new Uint8Array(t);let h=0;l.set(e,h);h+=e.length;l.set(r,h);h+=r.length;l.set(a,h);const u=new Uin\
+t8Array(64*t);for(let e=0,a=0;e<64;e++,a+=t)u.set(l,a);i=new AES128Cipher(r.subarray(0,16)).encrypt(u,r.subarray(16,32));const d=Math.sumPrecise(i.slice(0,16))%3;0===d?r=calculateSHA256(i,0,i.length):1===d?r=(s=i,o=0,c=i.length,calculateSHA512(s,o,c,!0)):2===d&&(r=calculateSHA512(i,0,i.length));n++}var s,o,c;return r.subarray(0,32)}}class CipherTransform{constructor(e,t){this.StringCipherConstructor=e;this.StreamCipherConstructor=t}createStream(e,t){const a=new this.StreamCipherConstructor;retur\
+n new DecryptStream(e,t,(function cipherTransformDecryptStream(e,t){return a.decryptBlock(e,t)}))}decryptString(e){const t=new this.StringCipherConstructor;let a=stringToBytes(e);a=t.decryptBlock(a,!0);return bytesToString(a)}encryptString(e){const t=new this.StringCipherConstructor;if(t instanceof AESBaseCipher){const a=16-e.length%16;e+=String.fromCharCode(a).repeat(a);const r=new Uint8Array(16);crypto.getRandomValues(r);let i=stringToBytes(e);i=t.encrypt(i,r);const n=new Uint8Array(16+i.lengt\
+h);n.set(r);n.set(i,16);return bytesToString(n)}let a=stringToBytes(e);a=t.encrypt(a);return bytesToString(a)}}class CipherTransformFactory{static get _defaultPasswordBytes(){return shadow(this,"_defaultPasswordBytes",new Uint8Array([40,191,78,94,78,117,138,65,100,0,78,86,255,250,1,8,46,46,0,182,208,104,62,128,47,12,169,254,100,83,105,122]))}#Oe(e,t,a,r,i,n,s,o,c,l,h,u){if(t){const e=Math.min(127,t.length);t=t.subarray(0,e)}else t=[];const d=6===e?new PDF20:new PDF17;return d.checkUserPassword(t\
+,o,s)?d.getUserKey(t,c,h):t.length&&d.checkOwnerPassword(t,r,n,a)?d.getOwnerKey(t,i,n,l):null}#Me(e,t,a,r,i,n,s,o){const c=40+a.length+e.length,l=new Uint8Array(c);let h,u,d=0;if(t){u=Math.min(32,t.length);for(;d<u;++d)l[d]=t[d]}h=0;for(;d<32;)l[d++]=CipherTransformFactory._defaultPasswordBytes[h++];l.set(a,d);d+=a.length;l[d++]=255&i;l[d++]=i>>8&255;l[d++]=i>>16&255;l[d++]=i>>>24&255;l.set(e,d);d+=e.length;if(n>=4&&!o){l.fill(255,d,d+4);d+=4}let f=calculateMD5(l,0,d);const g=s>>3;if(n>=3)for(h=\
+0;h<50;++h)f=calculateMD5(f,0,g);const p=f.subarray(0,g);let m,b;if(n>=3){d=0;l.set(CipherTransformFactory._defaultPasswordBytes,d);d+=32;l.set(e,d);d+=e.length;m=new ARCFourCipher(p);b=m.encryptBlock(calculateMD5(l,0,d));u=p.length;const t=new Uint8Array(u);for(h=1;h<=19;++h){for(let e=0;e<u;++e)t[e]=p[e]^h;m=new ARCFourCipher(t);b=m.encryptBlock(b)}}else{m=new ARCFourCipher(p);b=m.encryptBlock(CipherTransformFactory._defaultPasswordBytes)}return b.every(((e,t)=>r[t]===e))?p:null}#De(e,t,a,r){c\
+onst i=new Uint8Array(32);let n=0;const s=Math.min(32,e.length);for(;n<s;++n)i[n]=e[n];let o=0;for(;n<32;)i[n++]=CipherTransformFactory._defaultPasswordBytes[o++];let c=calculateMD5(i,0,n);const l=r>>3;if(a>=3)for(o=0;o<50;++o)c=calculateMD5(c,0,c.length);let h,u;if(a>=3){u=t;const e=new Uint8Array(l);for(o=19;o>=0;o--){for(let t=0;t<l;++t)e[t]=c[t]^o;h=new ARCFourCipher(e);u=h.encryptBlock(u)}}else{h=new ARCFourCipher(c.subarray(0,l));u=h.encryptBlock(t)}return u}#Be(e,t,a,r=!1){const i=a.lengt\
+h,n=new Uint8Array(i+9);n.set(a);let s=i;n[s++]=255&e;n[s++]=e>>8&255;n[s++]=e>>16&255;n[s++]=255&t;n[s++]=t>>8&255;if(r){n[s++]=115;n[s++]=65;n[s++]=108;n[s++]=84}return calculateMD5(n,0,s).subarray(0,Math.min(i+5,16))}#Re(e,t,a,r,i){if(!(t instanceof Name))throw new FormatError("Invalid crypt filter name.");const n=this,s=e.get(t.name),o=s?.get("CFM");if(!o||"None"===o.name)return function(){return new NullCipher};if("V2"===o.name)return function(){return new ARCFourCipher(n.#Be(a,r,i,!1))};if\
+("AESV2"===o.name)return function(){return new AES128Cipher(n.#Be(a,r,i,!0))};if("AESV3"===o.name)return function(){return new AES256Cipher(i)};throw new FormatError("Unknown crypto method")}constructor(e,t,a){const r=e.get("Filter");if(!isName(r,"Standard"))throw new FormatError("unknown encryption method");this.filterName=r.name;this.dict=e;const i=e.get("V");if(!Number.isInteger(i)||1!==i&&2!==i&&4!==i&&5!==i)throw new FormatError("unsupported encryption algorithm");this.algorithm=i;let n=e.g\
+et("Length");if(!n)if(i<=3)n=40;else{const t=e.get("CF"),a=e.get("StmF");if(t instanceof Dict&&a instanceof Name){t.suppressEncryption=!0;const e=t.get(a.name);n=e?.get("Length")||128;n<40&&(n<<=3)}}if(!Number.isInteger(n)||n<40||n%8!=0)throw new FormatError("invalid key length");const s=stringToBytes(e.get("O")),o=stringToBytes(e.get("U")),c=s.subarray(0,32),l=o.subarray(0,32),h=e.get("P"),u=e.get("R"),d=(4===i||5===i)&&!1!==e.get("EncryptMetadata");this.encryptMetadata=d;const f=stringToBytes(\
+t);let g,p;if(a){if(6===u)try{a=utf8StringToString(a)}catch{warn("CipherTransformFactory: Unable to convert UTF8 encoded password.")}g=stringToBytes(a)}if(5!==i)p=this.#Me(f,g,c,l,h,u,n,d);else{const t=s.subarray(32,40),a=s.subarray(40,48),r=o.subarray(0,48),i=o.subarray(32,40),n=o.subarray(40,48),h=stringToBytes(e.get("OE")),d=stringToBytes(e.get("UE")),f=stringToBytes(e.get("Perms"));p=this.#Oe(u,g,c,t,a,r,l,i,n,h,d,f)}if(!p){if(!a)throw new PasswordException("No password given",ha);const e=th\
+is.#De(g,c,u,n);p=this.#Me(f,e,c,l,h,u,n,d)}if(!p)throw new PasswordException("Incorrect Password",ua);if(4===i&&p.length<16){this.encryptionKey=new Uint8Array(16);this.encryptionKey.set(p)}else this.encryptionKey=p;if(i>=4){const t=e.get("CF");t instanceof Dict&&(t.suppressEncryption=!0);this.cf=t;this.stmf=e.get("StmF")||Name.get("Identity");this.strf=e.get("StrF")||Name.get("Identity");this.eff=e.get("EFF")||this.stmf}}createCipherTransform(e,t){if(4===this.algorithm||5===this.algorithm)retur\
+n new CipherTransform(this.#Re(this.cf,this.strf,e,t,this.encryptionKey),this.#Re(this.cf,this.stmf,e,t,this.encryptionKey));const a=this.#Be(e,t,this.encryptionKey,!1),cipherConstructor=function(){return new ARCFourCipher(a)};return new CipherTransform(cipherConstructor,cipherConstructor)}}class XRef{#Ne=null;constructor(e,t){this.stream=e;this.pdfManager=t;this.entries=[];this._xrefStms=new Set;this._cacheMap=new Map;this._pendingRefs=new RefSet;this._newPersistentRefNum=null;this._newTemporar\
+yRefNum=null;this._persistentRefsCache=null}getNewPersistentRef(e){null===this._newPersistentRefNum&&(this._newPersistentRefNum=this.entries.length||1);const t=this._newPersistentRefNum++;this._cacheMap.set(t,e);return Ref.get(t,0)}getNewTemporaryRef(){if(null===this._newTemporaryRefNum){this._newTemporaryRefNum=this.entries.length||1;if(this._newPersistentRefNum){this._persistentRefsCache=new Map;for(let e=this._newTemporaryRefNum;e<this._newPersistentRefNum;e++){this._persistentRefsCache.set(e\
+,this._cacheMap.get(e));this._cacheMap.delete(e)}}}return Ref.get(this._newTemporaryRefNum++,0)}resetNewTemporaryRef(){this._newTemporaryRefNum=null;if(this._persistentRefsCache)for(const[e,t]of this._persistentRefsCache)this._cacheMap.set(e,t);this._persistentRefsCache=null}setStartXRef(e){this.startXRefQueue=[e]}parse(e=!1){let t,a,r;if(e){warn("Indexing all PDF objects");t=this.indexObjects()}else t=this.readXRef();t.assignXref(this);this.trailer=t;try{a=t.get("Encrypt")}catch(e){if(e instanc\
+eof MissingDataException)throw e;warn(`XRef.parse - Invalid "Encrypt" reference: "${e}".`)}if(a instanceof Dict){const e=t.get("ID"),r=e?.length?e[0]:"";a.suppressEncryption=!0;this.encrypt=new CipherTransformFactory(a,r,this.pdfManager.password)}try{r=t.get("Root")}catch(e){if(e instanceof MissingDataException)throw e;warn(`XRef.parse - Invalid "Root" reference: "${e}".`)}if(r instanceof Dict)try{if(r.get("Pages")instanceof Dict){this.root=r;return}}catch(e){if(e instanceof MissingDataException\
+)throw e;warn(`XRef.parse - Invalid "Pages" reference: "${e}".`)}if(!e)throw new XRefParseException;throw new InvalidPDFException("Invalid Root reference.")}processXRefTable(e){"tableState"in this||(this.tableState={entryNum:0,streamPos:e.lexer.stream.pos,parserBuf1:e.buf1,parserBuf2:e.buf2});if(!isCmd(this.readXRefTable(e),"trailer"))throw new FormatError("Invalid XRef table: could not find trailer dictionary");let t=e.getObj();t instanceof Dict||!t.dict||(t=t.dict);if(!(t instanceof Dict))thro\
+w new FormatError("Invalid XRef table: could not parse trailer dictionary");delete this.tableState;return t}readXRefTable(e){const t=e.lexer.stream,a=this.tableState;t.pos=a.streamPos;e.buf1=a.parserBuf1;e.buf2=a.parserBuf2;let r;for(;;){if(!("firstEntryNum"in a)||!("entryCount"in a)){if(isCmd(r=e.getObj(),"trailer"))break;a.firstEntryNum=r;a.entryCount=e.getObj()}let i=a.firstEntryNum;const n=a.entryCount;if(!Number.isInteger(i)||!Number.isInteger(n))throw new FormatError("Invalid XRef table: w\
+rong types in subsection header");for(let r=a.entryNum;r<n;r++){a.streamPos=t.pos;a.entryNum=r;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;const s={};s.offset=e.getObj();s.gen=e.getObj();const o=e.getObj();if(o instanceof Cmd)switch(o.cmd){case"f":s.free=!0;break;case"n":s.uncompressed=!0}if(!Number.isInteger(s.offset)||!Number.isInteger(s.gen)||!s.free&&!s.uncompressed)throw new FormatError(`Invalid entry in XRef subsection: ${i}, ${n}`);0===r&&s.free&&1===i&&(i=0);this.entries[r+i]||(this.entries[\
+r+i]=s)}a.entryNum=0;a.streamPos=t.pos;a.parserBuf1=e.buf1;a.parserBuf2=e.buf2;delete a.firstEntryNum;delete a.entryCount}if(this.entries[0]&&!this.entries[0].free)throw new FormatError("Invalid XRef table: unexpected first object");return r}processXRefStream(e){if(!("streamState"in this)){const{dict:t,pos:a}=e,r=t.get("W"),i=t.get("Index")||[0,t.get("Size")];this.streamState={entryRanges:i,byteWidths:r,entryNum:0,streamPos:a}}this.readXRefStream(e);delete this.streamState;return e.dict}readXRef\
+Stream(e){const t=this.streamState;e.pos=t.streamPos;const[a,r,i]=t.byteWidths,n=t.entryRanges;for(;n.length>0;){const[s,o]=n;if(!Number.isInteger(s)||!Number.isInteger(o))throw new FormatError(`Invalid XRef range fields: ${s}, ${o}`);if(!Number.isInteger(a)||!Number.isInteger(r)||!Number.isInteger(i))throw new FormatError(`Invalid XRef entry fields length: ${s}, ${o}`);for(let n=t.entryNum;n<o;++n){t.entryNum=n;t.streamPos=e.pos;let o=0,c=0,l=0;for(let t=0;t<a;++t){const t=e.getByte();if(-1===t\
+)throw new FormatError("Invalid XRef byteWidths \'type\'.");o=o<<8|t}0===a&&(o=1);for(let t=0;t<r;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'offset\'.");c=c<<8|t}for(let t=0;t<i;++t){const t=e.getByte();if(-1===t)throw new FormatError("Invalid XRef byteWidths \'generation\'.");l=l<<8|t}const h={};h.offset=c;h.gen=l;switch(o){case 0:h.free=!0;break;case 1:h.uncompressed=!0;break;case 2:break;default:throw new FormatError(`Invalid XRef entry type: ${o}`)}this.ent\
+ries[s+n]||(this.entries[s+n]=h)}t.entryNum=0;t.streamPos=e.pos;n.splice(0,2)}}indexObjects(){function readToken(e,t){let a="",r=e[t];for(;10!==r&&13!==r&&60!==r&&!(++t>=e.length);){a+=String.fromCharCode(r);r=e[t]}return a}function skipUntil(e,t,a){const r=a.length,i=e.length;let n=0;for(;t<i;){let i=0;for(;i<r&&e[t+i]===a[i];)++i;if(i>=r)break;t++;n++}return n}const e=/\\b(endobj|\\d+\\s+\\d+\\s+obj|xref|trailer\\s*<<)\\b/g,t=/\\b(startxref|\\d+\\s+\\d+\\s+obj)\\b/g,a=/^(\\d+)\\s+(\\d+)\\s+obj\\b/,r=new Uint8Ar\
+ray([116,114,97,105,108,101,114]),i=new Uint8Array([115,116,97,114,116,120,114,101,102]),n=new Uint8Array([47,88,82,101,102]);this.entries.length=0;this._cacheMap.clear();const s=this.stream;s.pos=0;const o=s.getBytes(),c=bytesToString(o),l=o.length;let h=s.start;const u=[],d=[];for(;h<l;){let f=o[h];if(9===f||10===f||13===f||32===f){++h;continue}if(37===f){do{++h;if(h>=l)break;f=o[h]}while(10!==f&&13!==f);continue}const g=readToken(o,h);let p;if(g.startsWith("xref")&&(4===g.length||/\\s/.test(g[\
+4]))){h+=skipUntil(o,h,r);u.push(h);h+=skipUntil(o,h,i)}else if(p=a.exec(g)){const t=0|p[1],a=0|p[2],r=h+g.length;let i,u=!1;if(this.entries[t]){if(this.entries[t].gen===a)try{new Parser({lexer:new Lexer(s.makeSubStream(r))}).getObj();u=!0}catch(e){e instanceof ParserEOFException?warn(`indexObjects -- checking object (${g}): "${e}".`):u=!0}}else u=!0;u&&(this.entries[t]={offset:h-s.start,gen:a,uncompressed:!0});e.lastIndex=r;const f=e.exec(c);if(f){i=e.lastIndex+1-h;if("endobj"!==f[1]){warn(`ind\
+exObjects: Found "${f[1]}" inside of another "obj", caused by missing "endobj" -- trying to recover.`);i-=f[1].length+1}}else i=l-h;const m=o.subarray(h,h+i),b=skipUntil(m,0,n);if(b<i&&m[b+5]<64){d.push(h-s.start);this._xrefStms.add(h-s.start)}h+=i}else if(g.startsWith("trailer")&&(7===g.length||/\\s/.test(g[7]))){u.push(h);const e=h+g.length;let a;t.lastIndex=e;const r=t.exec(c);if(r){a=t.lastIndex+1-h;if("startxref"!==r[1]){warn(`indexObjects: Found "${r[1]}" after "trailer", caused by missing \
+"startxref" -- trying to recover.`);a-=r[1].length+1}}else a=l-h;h+=a}else h+=g.length+1}for(const e of d){this.startXRefQueue.push(e);this.readXRef(!0)}const f=[];let g,p,m=!1;for(const e of u){s.pos=e;const t=new Parser({lexer:new Lexer(s),xref:this,allowStreams:!0,recoveryMode:!0});if(!isCmd(t.getObj(),"trailer"))continue;const a=t.getObj();if(a instanceof Dict){f.push(a);a.has("Encrypt")&&(m=!0)}}for(const e of[...f,"genFallback",...f]){if("genFallback"===e){if(!p)break;this._generationFallb\
+ack=!0;continue}let t=!1;try{const a=e.get("Root");if(!(a instanceof Dict))continue;const r=a.get("Pages");if(!(r instanceof Dict))continue;const i=r.get("Count");Number.isInteger(i)&&(t=!0)}catch(e){p=e;continue}if(t&&(!m||e.has("Encrypt"))&&e.has("ID"))return e;g=e}if(g)return g;if(this.topDict)return this.topDict;if(!f.length)for(const[e,t]of this.entries.entries()){if(!t)continue;const a=Ref.get(e,t.gen);let r;try{r=this.fetch(a)}catch{continue}r instanceof BaseStream&&(r=r.dict);if(r instan\
+ceof Dict&&r.has("Root"))return r}throw new InvalidPDFException("Invalid PDF structure.")}readXRef(e=!1){const t=this.stream,a=new Set;for(;this.startXRefQueue.length;){try{const e=this.startXRefQueue[0];if(a.has(e)){warn("readXRef - skipping XRef table since it was already parsed.");this.startXRefQueue.shift();continue}a.add(e);t.pos=e+t.start;const r=new Parser({lexer:new Lexer(t),xref:this,allowStreams:!0});let i,n=r.getObj();if(isCmd(n,"xref")){i=this.processXRefTable(r);this.topDict||(this.\
+topDict=i);n=i.get("XRefStm");if(Number.isInteger(n)&&!this._xrefStms.has(n)){this._xrefStms.add(n);this.startXRefQueue.push(n);this.#Ne??=n}}else{if(!Number.isInteger(n))throw new FormatError("Invalid XRef stream header");if(!(Number.isInteger(r.getObj())&&isCmd(r.getObj(),"obj")&&(n=r.getObj())instanceof BaseStream))throw new FormatError("Invalid XRef stream");i=this.processXRefStream(n);this.topDict||(this.topDict=i);if(!i)throw new FormatError("Failed to read XRef stream")}n=i.get("Prev");Nu\
+mber.isInteger(n)?this.startXRefQueue.push(n):n instanceof Ref&&this.startXRefQueue.push(n.num)}catch(e){if(e instanceof MissingDataException)throw e;info("(while reading XRef): "+e)}this.startXRefQueue.shift()}if(this.topDict)return this.topDict;if(!e)throw new XRefParseException}get lastXRefStreamPos(){return this.#Ne??(this._xrefStms.size>0?Math.max(...this._xrefStms):null)}getEntry(e){const t=this.entries[e];return t&&!t.free&&t.offset?t:null}fetchIfRef(e,t=!1){return e instanceof Ref?this.f\
+etch(e,t):e}fetch(e,t=!1){if(!(e instanceof Ref))throw new Error("ref object is not a reference");const a=e.num,r=this._cacheMap.get(a);if(void 0!==r){r instanceof Dict&&!r.objId&&(r.objId=e.toString());return r}let i=this.getEntry(a);if(null===i)return i;if(this._pendingRefs.has(e)){this._pendingRefs.remove(e);warn(`Ignoring circular reference: ${e}.`);return ya}this._pendingRefs.put(e);try{i=i.uncompressed?this.fetchUncompressed(e,i,t):this.fetchCompressed(e,i,t);this._pendingRefs.remove(e)}ca\
+tch(t){this._pendingRefs.remove(e);throw t}i instanceof Dict?i.objId=e.toString():i instanceof BaseStream&&(i.dict.objId=e.toString());return i}fetchUncompressed(e,t,a=!1){const r=e.gen;let i=e.num;if(t.gen!==r){const n=`Inconsistent generation in XRef: ${e}`;if(this._generationFallback&&t.gen<r){warn(n);return this.fetchUncompressed(Ref.get(i,t.gen),t,a)}throw new XRefEntryException(n)}const n=this.stream.makeSubStream(t.offset+this.stream.start),s=new Parser({lexer:new Lexer(n),xref:this,allow\
+Streams:!0}),o=s.getObj(),c=s.getObj(),l=s.getObj();if(o!==i||c!==r||!(l instanceof Cmd))throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`);if("obj"!==l.cmd){if(l.cmd.startsWith("obj")){i=parseInt(l.cmd.substring(3),10);if(!Number.isNaN(i))return i}throw new XRefEntryException(`Bad (uncompressed) XRef entry: ${e}`)}(t=this.encrypt&&!a?s.getObj(this.encrypt.createCipherTransform(i,r)):s.getObj())instanceof BaseStream||this._cacheMap.set(i,t);return t}fetchCompressed(e,t,a=!1){con\
+st r=t.offset,i=this.fetch(Ref.get(r,0));if(!(i instanceof BaseStream))throw new FormatError("bad ObjStm stream");const n=i.dict.get("First"),s=i.dict.get("N");if(!Number.isInteger(n)||!Number.isInteger(s))throw new FormatError("invalid first and n parameters for ObjStm stream");let o=new Parser({lexer:new Lexer(i),xref:this,allowStreams:!0});const c=new Array(s),l=new Array(s);for(let e=0;e<s;++e){const t=o.getObj();if(!Number.isInteger(t))throw new FormatError(`invalid object number in the Obj\
+Stm stream: ${t}`);const a=o.getObj();if(!Number.isInteger(a))throw new FormatError(`invalid object offset in the ObjStm stream: ${a}`);c[e]=t;const i=this.getEntry(t);i?.offset===r&&i.gen!==e&&(i.gen=e);l[e]=a}const h=(i.start||0)+n,u=new Array(s);for(let e=0;e<s;++e){const t=e<s-1?l[e+1]-l[e]:void 0;if(t<0)throw new FormatError("Invalid offset in the ObjStm stream.");o=new Parser({lexer:new Lexer(i.makeSubStream(h+l[e],t,i.dict)),xref:this,allowStreams:!0});const a=o.getObj();u[e]=a;if(a insta\
+nceof BaseStream)continue;const n=c[e],d=this.entries[n];d&&d.offset===r&&d.gen===e&&this._cacheMap.set(n,a)}if(void 0===(t=u[t.gen]))throw new XRefEntryException(`Bad (compressed) XRef entry: ${e}`);return t}async fetchIfRefAsync(e,t){return e instanceof Ref?this.fetchAsync(e,t):e}async fetchAsync(e,t){try{return this.fetch(e,t)}catch(a){if(!(a instanceof MissingDataException))throw a;await this.pdfManager.requestRange(a.begin,a.end);return this.fetchAsync(e,t)}}getCatalogObj(){return this.root\
+}}const yc=[0,0,612,792];class Page{#Ee=null;constructor({pdfManager:e,xref:t,pageIndex:a,pageDict:r,ref:i,globalIdFactory:n,fontCache:s,builtInCMapCache:o,standardFontDataCache:c,globalColorSpaceCache:l,globalImageCache:h,systemFontCache:u,nonBlendModesSet:d,xfaFactory:f}){this.pdfManager=e;this.pageIndex=a;this.pageDict=r;this.xref=t;this.ref=i;this.fontCache=s;this.builtInCMapCache=o;this.standardFontDataCache=c;this.globalColorSpaceCache=l;this.globalImageCache=h;this.systemFontCache=u;this.\
+nonBlendModesSet=d;this.evaluatorOptions=e.evaluatorOptions;this.xfaFactory=f;const g={obj:0};this._localIdFactory=class extends n{static createObjId(){return`p${a}_${++g.obj}`}static getPageObjId(){return`p${i.toString()}`}}}#Pe(e){return new PartialEvaluator({xref:this.xref,handler:e,pageIndex:this.pageIndex,idFactory:this._localIdFactory,fontCache:this.fontCache,builtInCMapCache:this.builtInCMapCache,standardFontDataCache:this.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceC\
+ache,globalImageCache:this.globalImageCache,systemFontCache:this.systemFontCache,options:this.evaluatorOptions})}#Le(e,t=!1){const a=getInheritableProperty({dict:this.pageDict,key:e,getArray:t,stopWhenFound:!1});return Array.isArray(a)?1!==a.length&&a[0]instanceof Dict?Dict.merge({xref:this.xref,dictArray:a}):a[0]:a}get content(){return this.pageDict.getArray("Contents")}get resources(){const e=this.#Le("Resources");return shadow(this,"resources",e instanceof Dict?e:Dict.empty)}#je(e){if(this.xf\
+aData)return this.xfaData.bbox;const t=lookupNormalRect(this.#Le(e,!0),null);if(t){if(t[2]-t[0]>0&&t[3]-t[1]>0)return t;warn(`Empty, or invalid, /${e} entry.`)}return null}get mediaBox(){return shadow(this,"mediaBox",this.#je("MediaBox")||yc)}get cropBox(){return shadow(this,"cropBox",this.#je("CropBox")||this.mediaBox)}get userUnit(){const e=this.pageDict.get("UserUnit");return shadow(this,"userUnit","number"==typeof e&&e>0?e:1)}get view(){const{cropBox:e,mediaBox:t}=this;if(e!==t&&!isArrayEqua\
+l(e,t)){const a=Util.intersect(e,t);if(a&&a[2]-a[0]>0&&a[3]-a[1]>0)return shadow(this,"view",a);warn("Empty /CropBox and /MediaBox intersection.")}return shadow(this,"view",t)}get rotate(){let e=this.#Le("Rotate")||0;e%90!=0?e=0:e>=360?e%=360:e<0&&(e=(e%360+360)%360);return shadow(this,"rotate",e)}#_e(e,t){if(!this.evaluatorOptions.ignoreErrors)throw e;warn(`getContentStream - ignoring sub-stream (${t}): "${e}".`)}async getContentStream(){const e=await this.pdfManager.ensure(this,"content");retu\
+rn e instanceof BaseStream?e:Array.isArray(e)?new StreamsSequenceStream(e,this.#_e.bind(this)):new NullStream}get xfaData(){return shadow(this,"xfaData",this.xfaFactory?{bbox:this.xfaFactory.getBoundingBox(this.pageIndex)}:null)}async#Ue(e,t,a){const r=[];for(const i of e)if(i.id){const e=Ref.fromString(i.id);if(!e){warn(`A non-linked annotation cannot be modified: ${i.id}`);continue}if(i.deleted){t.put(e,e);if(i.popupRef){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}continue}if(i.popup?.del\
+eted){const e=Ref.fromString(i.popupRef);e&&t.put(e,e)}a?.put(e);i.ref=e;r.push(this.xref.fetchAsync(e).then((e=>{e instanceof Dict&&(i.oldAnnotation=e.clone())}),(()=>{warn(`Cannot fetch \\`oldAnnotation\\` for: ${e}.`)})));delete i.id}await Promise.all(r)}async saveNewAnnotations(e,t,a,r,i){if(this.xfaFactory)throw new Error("XFA: Cannot save new annotations.");const n=this.#Pe(e),s=new RefSetCache,o=new RefSet;await this.#Ue(a,s,o);const c=this.pageDict,l=this.annotations.filter((e=>!(e instanc\
+eof Ref&&s.has(e)))),h=await AnnotationFactory.saveNewAnnotations(n,t,a,r,i);for(const{ref:e}of h.annotations)e instanceof Ref&&!o.has(e)&&l.push(e);const u=c.clone();u.set("Annots",l);i.put(this.ref,{data:u});for(const e of s)i.put(e,{data:null})}async save(e,t,a,r){const i=this.#Pe(e),n=await this._parsedAnnotations,s=[];for(const e of n)s.push(e.save(i,t,a,r).catch((function(e){warn(`save - ignoring annotation data during "${t.name}" task: "${e}".`);return null})));return Promise.all(s)}async\
+ loadResources(e){await(this.#Ee??=this.pdfManager.ensure(this,"resources"));await ObjectLoader.load(this.resources,e,this.xref)}async#Xe(e,t){const a=e?.get("Resources");if(!(a instanceof Dict&&a.size))return this.resources;await ObjectLoader.load(a,t,this.xref);return Dict.merge({xref:this.xref,dictArray:[a,this.resources],mergeSubDicts:!0})}async getOperatorList({handler:e,sink:t,task:a,intent:r,cacheKey:i,annotationStorage:c=null,modifiedIds:d=null}){const g=this.getContentStream(),p=this.lo\
+adResources(Ia),m=this.#Pe(e),b=this.xfaFactory?null:getNewAnnotationsMap(c),y=b?.get(this.pageIndex);let w=Promise.resolve(null),x=null;if(y){const e=this.pdfManager.ensureDoc("annotationGlobals");let t;const r=new Set;for(const{bitmapId:e,bitmap:t}of y)!e||t||r.has(e)||r.add(e);const{isOffscreenCanvasSupported:i}=this.evaluatorOptions;if(r.size>0){const e=y.slice();for(const[t,a]of c)t.startsWith(f)&&a.bitmap&&r.has(a.bitmapId)&&e.push(a);t=AnnotationFactory.generateImages(e,this.xref,i)}else \
+t=AnnotationFactory.generateImages(y,this.xref,i);x=new RefSet;w=Promise.all([e,this.#Ue(y,x,null)]).then((([e])=>e?AnnotationFactory.printNewAnnotations(e,m,a,y,t):null))}const S=Promise.all([g,p]).then((async([n])=>{const s=await this.#Xe(n.dict,Ia),o=new OperatorList(r,t);e.send("StartRenderPage",{transparency:m.hasBlendModes(s,this.nonBlendModesSet),pageIndex:this.pageIndex,cacheKey:i});await m.getOperatorList({stream:n,task:a,resources:s,operatorList:o});return o}));let[k,C,v]=await Promise\
+.all([S,this._parsedAnnotations,w]);if(v){C=C.filter((e=>!(e.ref&&x.has(e.ref))));for(let e=0,t=v.length;e<t;e++){const a=v[e];if(a.refToReplace){const r=C.findIndex((e=>e.ref&&isRefsEqual(e.ref,a.refToReplace)));if(r>=0){C.splice(r,1,a);v.splice(e--,1);t--}}}C=C.concat(v)}if(0===C.length||r&h){k.flush(!0);return{length:k.totalLength}}const F=!!(r&l),T=!!(r&u),O=!!(r&n),M=!!(r&s),D=!!(r&o),R=[];for(const e of C)(O||M&&e.mustBeViewed(c,F)&&e.mustBeViewedWhenEditing(T,d)||D&&e.mustBePrinted(c))&&R\
+.push(e.getOperatorList(m,a,r,c).catch((function(e){warn(`getOperatorList - ignoring annotation data during "${a.name}" task: "${e}".`);return{opList:null,separateForm:!1,separateCanvas:!1}})));const N=await Promise.all(R);let E=!1,L=!1;for(const{opList:e,separateForm:t,separateCanvas:a}of N){k.addOpList(e);E||=t;L||=a}k.flush(!0,{form:E,canvas:L});return{length:k.totalLength}}async extractTextContent({handler:e,task:t,includeMarkedContent:a,disableNormalization:r,sink:i,intersector:n=null}){con\
+st s=this.getContentStream(),o=this.loadResources(Ta),c=this.pdfManager.ensureCatalog("lang"),[l,,h]=await Promise.all([s,o,c]),u=await this.#Xe(l.dict,Ta);return this.#Pe(e).getTextContent({stream:l,task:t,resources:u,includeMarkedContent:a,disableNormalization:r,sink:i,viewBox:this.view,lang:h,intersector:n})}async getStructTree(){const e=await this.pdfManager.ensureCatalog("structTreeRoot");if(!e)return null;await this._parsedAnnotations;try{const t=await this.pdfManager.ensure(this,"_parseSt\
+ructTree",[e]);return await this.pdfManager.ensure(t,"serializable")}catch(e){warn(`getStructTree: "${e}".`);return null}}_parseStructTree(e){const t=new StructTreePage(e,this.pageDict);t.parse(this.ref);return t}async getAnnotationsData(e,t,a){const r=await this._parsedAnnotations;if(0===r.length)return r;const i=[],c=[];let l;const h=!!(a&n),u=!!(a&s),d=!!(a&o),f=[];for(const a of r){const r=h||u&&a.viewable;(r||d&&a.printable)&&i.push(a.data);if(a.hasTextContent&&r){l??=this.#Pe(e);c.push(a.e\
+xtractTextContent(l,t,[-1/0,-1/0,1/0,1/0]).catch((function(e){warn(`getAnnotationsData - ignoring textContent during "${t.name}" task: "${e}".`)})))}else a.overlaysTextContent&&r&&f.push(a)}if(f.length>0){const a=new Intersector(f);c.push(this.extractTextContent({handler:e,task:t,includeMarkedContent:!1,disableNormalization:!1,sink:null,viewBox:this.view,lang:null,intersector:a}).then((()=>{a.setText()})))}await Promise.all(c);return i}get annotations(){const e=this.#Le("Annots");return shadow(t\
+his,"annotations",Array.isArray(e)?e:[])}get _parsedAnnotations(){return shadow(this,"_parsedAnnotations",this.pdfManager.ensure(this,"annotations").then((async e=>{if(0===e.length)return e;const[t,a]=await Promise.all([this.pdfManager.ensureDoc("annotationGlobals"),this.pdfManager.ensureDoc("fieldObjects")]);if(!t)return[];const r=a?.orphanFields,i=[];for(const a of e)i.push(AnnotationFactory.create(this.xref,a,t,this._localIdFactory,!1,r,this.ref).catch((function(e){warn(`_parsedAnnotations: "\
+${e}".`);return null})));const n=[];let s,o;for(const e of await Promise.all(i))e&&(e instanceof WidgetAnnotation?(o||=[]).push(e):e instanceof PopupAnnotation?(s||=[]).push(e):n.push(e));o&&n.push(...o);s&&n.push(...s);return n})))}get jsActions(){return shadow(this,"jsActions",collectActions(this.xref,this.pageDict,xe))}}const wc=new Uint8Array([37,80,68,70,45]),xc=new Uint8Array([115,116,97,114,116,120,114,101,102]),Sc=new Uint8Array([101,110,100,111,98,106]);function find(e,t,a=1024,r=!1){co\
+nst i=t.length,n=e.peekBytes(a),s=n.length-i;if(s<=0)return!1;if(r){const a=i-1;let r=n.length-1;for(;r>=a;){let s=0;for(;s<i&&n[r-s]===t[a-s];)s++;if(s>=i){e.pos+=r-a;return!0}r--}}else{let a=0;for(;a<=s;){let r=0;for(;r<i&&n[a+r]===t[r];)r++;if(r>=i){e.pos+=a;return!0}a++}}return!1}class PDFDocument{#qe=new Map;#He=null;constructor(e,t){if(t.length<=0)throw new InvalidPDFException("The PDF file is empty, i.e. its size is zero bytes.");this.pdfManager=e;this.stream=t;this.xref=new XRef(t,e);con\
+st a={font:0};this._globalIdFactory=class{static getDocId(){return`g_${e.docId}`}static createFontId(){return"f"+ ++a.font}static createObjId(){unreachable("Abstract method `createObjId` called.")}static getPageObjId(){unreachable("Abstract method `getPageObjId` called.")}}}parse(e){this.xref.parse(e);this.catalog=new Catalog(this.pdfManager,this.xref)}get linearization(){let e=null;try{e=Linearization.create(this.stream)}catch(e){if(e instanceof MissingDataException)throw e;info(e)}return shado\
+w(this,"linearization",e)}get startXRef(){const e=this.stream;let t=0;if(this.linearization){e.reset();if(find(e,Sc)){e.skip(6);let a=e.peekByte();for(;isWhiteSpace(a);){e.pos++;a=e.peekByte()}t=e.pos-e.start}}else{const a=1024,r=xc.length;let i=!1,n=e.end;for(;!i&&n>0;){n-=a-r;n<0&&(n=0);e.pos=n;i=find(e,xc,a,!0)}if(i){e.skip(9);let a;do{a=e.getByte()}while(isWhiteSpace(a));let r="";for(;a>=32&&a<=57;){r+=String.fromCharCode(a);a=e.getByte()}t=parseInt(r,10);isNaN(t)&&(t=0)}}return shadow(this,\
+"startXRef",t)}checkHeader(){const e=this.stream;e.reset();if(!find(e,wc))return;e.moveStart();e.skip(wc.length);let t,a="";for(;(t=e.getByte())>32&&a.length<7;)a+=String.fromCharCode(t);Ca.test(a)?this.#He=a:warn(`Invalid PDF header version: ${a}`)}parseStartXRef(){this.xref.setStartXRef(this.startXRef)}get numPages(){let e=0;e=this.catalog.hasActualNumPages?this.catalog.numPages:this.xfaFactory?this.xfaFactory.getNumPages():this.linearization?this.linearization.numPages:this.catalog.numPages;r\
+eturn shadow(this,"numPages",e)}#We(e,t=0){return!!Array.isArray(e)&&e.every((e=>{if(!((e=this.xref.fetchIfRef(e))instanceof Dict))return!1;if(e.has("Kids")){if(++t>10){warn("#hasOnlyDocumentSignatures: maximum recursion depth reached");return!1}return this.#We(e.get("Kids"),t)}const a=isName(e.get("FT"),"Sig"),r=e.get("Rect"),i=Array.isArray(r)&&r.every((e=>0===e));return a&&i}))}#ze(e,t,a=new RefSet){if(Array.isArray(e))for(let r of e){if(r instanceof Ref){if(a.has(r))continue;a.put(r)}r=this.\
+xref.fetchIfRef(r);if(!(r instanceof Dict))continue;if(r.has("Kids")){this.#ze(r.get("Kids"),t,a);continue}if(!isName(r.get("FT"),"Sig"))continue;const e=r.get("V");if(!(e instanceof Dict))continue;const i=e.get("SubFilter");i instanceof Name&&t.add(i.name)}}get _xfaStreams(){const{acroForm:e}=this.catalog;if(!e)return null;const t=e.get("XFA"),a=new Map(["xdp:xdp","template","datasets","config","connectionSet","localeSet","stylesheet","/xdp:xdp"].map((e=>[e,null])));if(t instanceof BaseStream&&\
+!t.isEmpty){a.set("xdp:xdp",t);return a}if(!Array.isArray(t)||0===t.length)return null;for(let e=0,r=t.length;e<r;e+=2){let i;i=0===e?"xdp:xdp":e===r-2?"/xdp:xdp":t[e];if(!a.has(i))continue;const n=this.xref.fetchIfRef(t[e+1]);n instanceof BaseStream&&!n.isEmpty&&a.set(i,n)}return a}get xfaDatasets(){const e=this._xfaStreams;if(!e)return shadow(this,"xfaDatasets",null);for(const t of["datasets","xdp:xdp"]){const a=e.get(t);if(a)try{const e=stringToUTF8String(a.getString());return shadow(this,"xf\
+aDatasets",new DatasetReader({[t]:e}))}catch{warn("XFA - Invalid utf-8 string.");break}}return shadow(this,"xfaDatasets",null)}get xfaData(){const e=this._xfaStreams;if(!e)return null;const t=Object.create(null);for(const[a,r]of e)if(r)try{t[a]=stringToUTF8String(r.getString())}catch{warn("XFA - Invalid utf-8 string.");return null}return t}get xfaFactory(){let e;this.pdfManager.enableXfa&&this.catalog.needsRendering&&this.formInfo.hasXfa&&!this.formInfo.hasAcroForm&&(e=this.xfaData);return shado\
+w(this,"xfaFactory",e?new XFAFactory(e):null)}get isPureXfa(){return!!this.xfaFactory&&this.xfaFactory.isValid()}get htmlForXfa(){return this.xfaFactory?this.xfaFactory.getPages():null}async#$e(){const e=await this.pdfManager.ensureCatalog("xfaImages");e&&this.xfaFactory.setImages(e)}async#Ge(e,t){const a=await this.pdfManager.ensureCatalog("acroForm");if(!a)return;const r=await a.getAsync("DR");if(!(r instanceof Dict))return;await ObjectLoader.load(r,["Font"],this.xref);const i=r.get("Font");if\
+(!(i instanceof Dict))return;const n=Object.assign(Object.create(null),this.pdfManager.evaluatorOptions,{useSystemFonts:!1}),{builtInCMapCache:s,fontCache:o,standardFontDataCache:c}=this.catalog,l=new PartialEvaluator({xref:this.xref,handler:e,pageIndex:-1,idFactory:this._globalIdFactory,fontCache:o,builtInCMapCache:s,standardFontDataCache:c,options:n}),h=new OperatorList,u=[],d={get font(){return u.at(-1)},set font(e){u.push(e)},clone(){return this}},parseFont=(e,a,i)=>l.handleSetFont(r,[Name.g\
+et(e),1],null,h,t,d,a,i).catch((e=>{warn(`loadXfaFonts: "${e}".`);return null})),f=[];for(const[e,t]of i){const a=t.get("FontDescriptor");if(!(a instanceof Dict))continue;let r=a.get("FontFamily");r=r.replaceAll(/[ ]+(\\d)/g,"$1");const i={fontFamily:r,fontWeight:a.get("FontWeight"),italicAngle:-a.get("ItalicAngle")};validateCSSFont(i)&&f.push(parseFont(e,null,i))}await Promise.all(f);const g=this.xfaFactory.setFonts(u);if(!g)return;n.ignoreErrors=!0;f.length=0;u.length=0;const p=new Set;for(cons\
+t e of g)getXfaFontName(`${e}-Regular`)||p.add(e);p.size&&g.push("PdfJS-Fallback");for(const e of g)if(!p.has(e))for(const t of[{name:"Regular",fontWeight:400,italicAngle:0},{name:"Bold",fontWeight:700,italicAngle:0},{name:"Italic",fontWeight:400,italicAngle:12},{name:"BoldItalic",fontWeight:700,italicAngle:12}]){const a=`${e}-${t.name}`;f.push(parseFont(a,getXfaFontDict(a),{fontFamily:e,fontWeight:t.fontWeight,italicAngle:t.italicAngle}))}await Promise.all(f);this.xfaFactory.appendFonts(u,p)}lo\
+adXfaResources(e,t){return Promise.all([this.#Ge(e,t).catch((()=>{})),this.#$e()])}serializeXfaData(e){return this.xfaFactory?this.xfaFactory.serializeData(e):null}get version(){return this.catalog.version||this.#He}get formInfo(){const e={hasFields:!1,hasAcroForm:!1,hasXfa:!1,hasSignatures:!1},{acroForm:t}=this.catalog;if(!t)return shadow(this,"formInfo",e);try{const a=t.get("Fields"),r=Array.isArray(a)&&a.length>0;e.hasFields=r;const i=t.get("XFA");e.hasXfa=Array.isArray(i)&&i.length>0||i inst\
+anceof BaseStream&&!i.isEmpty;const n=!!(1&t.get("SigFlags")),s=n&&this.#We(a);e.hasAcroForm=r&&!s;e.hasSignatures=n}catch(e){if(e instanceof MissingDataException)throw e;warn(`Cannot fetch form information: "${e}".`)}return shadow(this,"formInfo",e)}get documentInfo(){const{catalog:e,formInfo:t,xref:a}=this,r={PDFFormatVersion:this.version,Language:e.lang,EncryptFilterName:a.encrypt?.filterName??null,IsLinearized:!!this.linearization,IsAcroFormPresent:t.hasAcroForm,IsXFAPresent:t.hasXfa,IsColle\
+ctionPresent:!!e.collection,IsSignaturesPresent:t.hasSignatures};let i;try{i=a.trailer.get("Info")}catch(e){if(e instanceof MissingDataException)throw e;info("The document information dictionary is invalid.")}if(!(i instanceof Dict))return shadow(this,"documentInfo",r);for(const[e,t]of i){switch(e){case"Title":case"Author":case"Subject":case"Keywords":case"Creator":case"Producer":case"CreationDate":case"ModDate":if("string"==typeof t){r[e]=stringToPDFString(t);continue}break;case"Trapped":if(t i\
+nstanceof Name){r[e]=t;continue}break;default:let a;switch(typeof t){case"string":a=stringToPDFString(t);break;case"number":case"boolean":a=t;break;default:t instanceof Name&&(a=t)}if(void 0===a){warn(`Bad value, for custom key "${e}", in Info: ${t}.`);continue}r.Custom??=Object.create(null);r.Custom[e]=a;continue}warn(`Bad value, for key "${e}", in Info: ${t}.`)}return shadow(this,"documentInfo",r)}get fingerprints(){const e="\\0".repeat(16);function validate(t){return"string"==typeof t&&16===t.\
+length&&t!==e}const t=this.xref.trailer.get("ID");let a,r;if(Array.isArray(t)&&validate(t[0])){a=stringToBytes(t[0]);t[1]!==t[0]&&validate(t[1])&&(r=stringToBytes(t[1]))}else a=calculateMD5(this.stream.getByteRange(0,1024),0,1024);return shadow(this,"fingerprints",[toHexUtil(a),r?toHexUtil(r):null])}async#Ve(e){const{catalog:t,linearization:a,xref:r}=this,i=Ref.get(a.objectNumberFirst,0);try{const e=await r.fetchAsync(i);if(e instanceof Dict){let a=e.getRaw("Type");a instanceof Ref&&(a=await r.f\
+etchAsync(a));if(isName(a,"Page")||!e.has("Type")&&!e.has("Kids")&&e.has("Contents")){t.pageKidsCountCache.has(i)||t.pageKidsCountCache.put(i,1);t.pageIndexCache.has(i)||t.pageIndexCache.put(i,0);return[e,i]}}throw new FormatError("The Linearization dictionary doesn\'t point to a valid Page dictionary.")}catch(a){warn(`_getLinearizationPage: "${a.message}".`);return t.getPageDict(e)}}getPage(e){const t=this.#qe.get(e);if(t)return t;const{catalog:a,linearization:r,xfaFactory:i}=this;let n;n=i?Prom\
+ise.resolve([Dict.empty,null]):r?.pageFirst===e?this.#Ve(e):a.getPageDict(e);n=n.then((([t,r])=>new Page({pdfManager:this.pdfManager,xref:this.xref,pageIndex:e,pageDict:t,ref:r,globalIdFactory:this._globalIdFactory,fontCache:a.fontCache,builtInCMapCache:a.builtInCMapCache,standardFontDataCache:a.standardFontDataCache,globalColorSpaceCache:a.globalColorSpaceCache,globalImageCache:a.globalImageCache,systemFontCache:a.systemFontCache,nonBlendModesSet:a.nonBlendModesSet,xfaFactory:i})));this.#qe.set\
+(e,n);return n}async checkFirstPage(e=!1){if(!e)try{await this.getPage(0)}catch(e){if(e instanceof XRefEntryException){this.#qe.delete(0);await this.cleanup();throw new XRefParseException}}}async checkLastPage(e=!1){const{catalog:t,pdfManager:a}=this;t.setActualNumPages();let r;try{await Promise.all([a.ensureDoc("xfaFactory"),a.ensureDoc("linearization"),a.ensureCatalog("numPages")]);if(this.xfaFactory)return;r=this.linearization?this.linearization.numPages:t.numPages;if(!Number.isInteger(r))thr\
+ow new FormatError("Page count is not an integer.");if(r<=1)return;await this.getPage(r-1)}catch(i){this.#qe.delete(r-1);await this.cleanup();if(i instanceof XRefEntryException&&!e)throw new XRefParseException;warn(`checkLastPage - invalid /Pages tree /Count: ${r}.`);let n;try{n=await t.getAllPageDicts(e)}catch(a){if(a instanceof XRefEntryException&&!e)throw new XRefParseException;t.setActualNumPages(1);return}for(const[e,[r,i]]of n){let n;if(r instanceof Error){n=Promise.reject(r);n.catch((()=>\
+{}))}else n=Promise.resolve(new Page({pdfManager:a,xref:this.xref,pageIndex:e,pageDict:r,ref:i,globalIdFactory:this._globalIdFactory,fontCache:t.fontCache,builtInCMapCache:t.builtInCMapCache,standardFontDataCache:t.standardFontDataCache,globalColorSpaceCache:this.globalColorSpaceCache,globalImageCache:t.globalImageCache,systemFontCache:t.systemFontCache,nonBlendModesSet:t.nonBlendModesSet,xfaFactory:null}));this.#qe.set(e,n)}t.setActualNumPages(n.size)}}async fontFallback(e,t){const{catalog:a,pd\
+fManager:r}=this;for(const i of await Promise.all(a.fontCache))if(i.loadedName===e){i.fallback(t,r.evaluatorOptions);return}}async cleanup(e=!1){return this.catalog?this.catalog.cleanup(e):clearGlobalCaches()}async#Ke(e,t,a,r,i,n,s){const{xref:o}=this;if(!(a instanceof Ref)||n.has(a))return;n.put(a);const c=await o.fetchAsync(a);if(!(c instanceof Dict))return;let l=await c.getAsync("Subtype");l=l instanceof Name?l.name:null;if("Link"===l)return;if(c.has("T")){const t=stringToPDFString(await c.ge\
+tAsync("T"));e=""===e?t:`${e}.${t}`}else{let a=c;for(;;){a=a.getRaw("Parent")||t;if(a instanceof Ref){if(n.has(a))break;a=await o.fetchAsync(a)}if(!(a instanceof Dict))break;if(a.has("T")){const t=stringToPDFString(await a.getAsync("T"));e=""===e?t:`${e}.${t}`;break}}}t&&!c.has("Parent")&&isName(c.get("Subtype"),"Widget")&&s.put(a,t);r.has(e)||r.set(e,[]);r.get(e).push(AnnotationFactory.create(o,a,i,null,!0,s,null).then((e=>e?.getFieldObject())).catch((function(e){warn(`#collectFieldObjects: "${\
+e}".`);return null})));if(!c.has("Kids"))return;const h=await c.getAsync("Kids");if(Array.isArray(h))for(const t of h)await this.#Ke(e,a,t,r,i,n,s)}get fieldObjects(){return shadow(this,"fieldObjects",this.pdfManager.ensureDoc("formInfo").then((async e=>{if(!e.hasFields)return null;const t=await this.annotationGlobals;if(!t)return null;const{acroForm:a}=t,r=new RefSet,i=Object.create(null),n=new Map,s=new RefSetCache;for(const e of a.get("Fields"))await this.#Ke("",null,e,n,t,r,s);const o=[];for\
+(const[e,t]of n)o.push(Promise.all(t).then((t=>{(t=t.filter((e=>!!e))).length>0&&(i[e]=t)})));await Promise.all(o);return{allFields:objectSize(i)>0?i:null,orphanFields:s}})))}get hasJSActions(){return shadow(this,"hasJSActions",this.pdfManager.ensureDoc("_parseHasJSActions"))}async _parseHasJSActions(){const[e,t]=await Promise.all([this.pdfManager.ensureCatalog("jsActions"),this.pdfManager.ensureDoc("fieldObjects")]);return!!e||!!t?.allFields&&Object.values(t.allFields).some((e=>e.some((e=>null!\
+==e.actions))))}get calculationOrderIds(){const e=this.catalog.acroForm?.get("CO");if(!Array.isArray(e)||0===e.length)return shadow(this,"calculationOrderIds",null);const t=[];for(const a of e)a instanceof Ref&&t.push(a.toString());return shadow(this,"calculationOrderIds",t.length?t:null)}get annotationGlobals(){return shadow(this,"annotationGlobals",AnnotationFactory.createGlobals(this.pdfManager))}}class BasePdfManager{constructor({docBaseUrl:e,docId:t,enableXfa:a,evaluatorOptions:r,handler:i,\
+password:n}){this._docBaseUrl=function parseDocBaseUrl(e){if(e){const t=createValidAbsoluteUrl(e);if(t)return t.href;warn(`Invalid absolute docBaseUrl: "${e}".`)}return null}(e);this._docId=t;this._password=n;this.enableXfa=a;r.isOffscreenCanvasSupported&&=FeatureTest.isOffscreenCanvasSupported;r.isImageDecoderSupported&&=FeatureTest.isImageDecoderSupported;this.evaluatorOptions=Object.freeze(r);ImageResizer.setOptions(r);JpegStream.setOptions(r);OperatorList.setOptions(r);const s={...r,handler:\
+i};JpxImage.setOptions(s);IccColorSpace.setOptions(s);CmykICCBasedCS.setOptions(s)}get docId(){return this._docId}get password(){return this._password}get docBaseUrl(){return this._docBaseUrl}ensureDoc(e,t){return this.ensure(this.pdfDocument,e,t)}ensureXRef(e,t){return this.ensure(this.pdfDocument.xref,e,t)}ensureCatalog(e,t){return this.ensure(this.pdfDocument.catalog,e,t)}getPage(e){return this.pdfDocument.getPage(e)}fontFallback(e,t){return this.pdfDocument.fontFallback(e,t)}cleanup(e=!1){re\
+turn this.pdfDocument.cleanup(e)}async ensure(e,t,a){unreachable("Abstract method `ensure` called")}requestRange(e,t){unreachable("Abstract method `requestRange` called")}requestLoadedStream(e=!1){unreachable("Abstract method `requestLoadedStream` called")}sendProgressiveData(e){unreachable("Abstract method `sendProgressiveData` called")}updatePassword(e){this._password=e}terminate(e){unreachable("Abstract method `terminate` called")}}class LocalPdfManager extends BasePdfManager{constructor(e){s\
+uper(e);const t=new Stream(e.source);this.pdfDocument=new PDFDocument(this,t);this._loadedStreamPromise=Promise.resolve(t)}async ensure(e,t,a){const r=e[t];return"function"==typeof r?r.apply(e,a):r}requestRange(e,t){return Promise.resolve()}requestLoadedStream(e=!1){return this._loadedStreamPromise}terminate(e){}}class NetworkPdfManager extends BasePdfManager{constructor(e){super(e);this.streamManager=new ChunkedStreamManager(e.source,{msgHandler:e.handler,length:e.length,disableAutoFetch:e.disa\
+bleAutoFetch,rangeChunkSize:e.rangeChunkSize});this.pdfDocument=new PDFDocument(this,this.streamManager.getStream())}async ensure(e,t,a){try{const r=e[t];return"function"==typeof r?r.apply(e,a):r}catch(r){if(!(r instanceof MissingDataException))throw r;await this.requestRange(r.begin,r.end);return this.ensure(e,t,a)}}requestRange(e,t){return this.streamManager.requestRange(e,t)}requestLoadedStream(e=!1){return this.streamManager.requestAllChunks(e)}sendProgressiveData(e){this.streamManager.onRec\
+eiveData({chunk:e})}terminate(e){this.streamManager.abort(e)}}const Ac=1,kc=2,Cc=1,vc=2,Fc=3,Ic=4,Tc=5,Oc=6,Mc=7,Dc=8;function onFn(){}function wrapReason(e){if(e instanceof AbortException||e instanceof InvalidPDFException||e instanceof PasswordException||e instanceof ResponseException||e instanceof UnknownErrorException)return e;e instanceof Error||"object"==typeof e&&null!==e||unreachable(\'wrapReason: Expected "reason" to be a (possibly cloned) Error.\');switch(e.name){case"AbortException":retu\
+rn new AbortException(e.message);case"InvalidPDFException":return new InvalidPDFException(e.message);case"PasswordException":return new PasswordException(e.message,e.code);case"ResponseException":return new ResponseException(e.message,e.status,e.missing);case"UnknownErrorException":return new UnknownErrorException(e.message,e.details)}return new UnknownErrorException(e.message,e.toString())}class MessageHandler{#Je=new AbortController;constructor(e,t,a){this.sourceName=e;this.targetName=t;this.c\
+omObj=a;this.callbackId=1;this.streamId=1;this.streamSinks=Object.create(null);this.streamControllers=Object.create(null);this.callbackCapabilities=Object.create(null);this.actionHandler=Object.create(null);a.addEventListener("message",this.#Ye.bind(this),{signal:this.#Je.signal})}#Ye({data:e}){if(e.targetName!==this.sourceName)return;if(e.stream){this.#Ze(e);return}if(e.callback){const t=e.callbackId,a=this.callbackCapabilities[t];if(!a)throw new Error(`Cannot resolve callback ${t}`);delete thi\
+s.callbackCapabilities[t];if(e.callback===Ac)a.resolve(e.data);else{if(e.callback!==kc)throw new Error("Unexpected callback case");a.reject(wrapReason(e.reason))}return}const t=this.actionHandler[e.action];if(!t)throw new Error(`Unknown action from worker: ${e.action}`);if(e.callbackId){const a=this.sourceName,r=e.sourceName,i=this.comObj;Promise.try(t,e.data).then((function(t){i.postMessage({sourceName:a,targetName:r,callback:Ac,callbackId:e.callbackId,data:t})}),(function(t){i.postMessage({sou\
+rceName:a,targetName:r,callback:kc,callbackId:e.callbackId,reason:wrapReason(t)})}))}else e.streamId?this.#Qe(e):t(e.data)}on(e,t){const a=this.actionHandler;if(a[e])throw new Error(`There is already an actionName called "${e}"`);a[e]=t}send(e,t,a){this.comObj.postMessage({sourceName:this.sourceName,targetName:this.targetName,action:e,data:t},a)}sendWithPromise(e,t,a){const r=this.callbackId++,i=Promise.withResolvers();this.callbackCapabilities[r]=i;try{this.comObj.postMessage({sourceName:this.s\
+ourceName,targetName:this.targetName,action:e,callbackId:r,data:t},a)}catch(e){i.reject(e)}return i.promise}sendWithStream(e,t,a,r){const i=this.streamId++,n=this.sourceName,s=this.targetName,o=this.comObj;return new ReadableStream({start:a=>{const c=Promise.withResolvers();this.streamControllers[i]={controller:a,startCall:c,pullCall:null,cancelCall:null,isClosed:!1};o.postMessage({sourceName:n,targetName:s,action:e,streamId:i,data:t,desiredSize:a.desiredSize},r);return c.promise},pull:e=>{const\
+ t=Promise.withResolvers();this.streamControllers[i].pullCall=t;o.postMessage({sourceName:n,targetName:s,stream:Oc,streamId:i,desiredSize:e.desiredSize});return t.promise},cancel:e=>{assert(e instanceof Error,"cancel must have a valid reason");const t=Promise.withResolvers();this.streamControllers[i].cancelCall=t;this.streamControllers[i].isClosed=!0;o.postMessage({sourceName:n,targetName:s,stream:Cc,streamId:i,reason:wrapReason(e)});return t.promise}},a)}#Qe(e){const t=e.streamId,a=this.sourceN\
+ame,r=e.sourceName,i=this.comObj,n=this,s=this.actionHandler[e.action],o={enqueue(e,n=1,s){if(this.isCancelled)return;const o=this.desiredSize;this.desiredSize-=n;if(o>0&&this.desiredSize<=0){this.sinkCapability=Promise.withResolvers();this.ready=this.sinkCapability.promise}i.postMessage({sourceName:a,targetName:r,stream:Ic,streamId:t,chunk:e},s)},close(){if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Fc,streamId:t});delete n.streamSinks[t]}},error(e){a\
+ssert(e instanceof Error,"error must have a valid reason");if(!this.isCancelled){this.isCancelled=!0;i.postMessage({sourceName:a,targetName:r,stream:Tc,streamId:t,reason:wrapReason(e)})}},sinkCapability:Promise.withResolvers(),onPull:null,onCancel:null,isCancelled:!1,desiredSize:e.desiredSize,ready:null};o.sinkCapability.resolve();o.ready=o.sinkCapability.promise;this.streamSinks[t]=o;Promise.try(s,e.data,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,success:!\
+0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Dc,streamId:t,reason:wrapReason(e)})}))}#Ze(e){const t=e.streamId,a=this.sourceName,r=e.sourceName,i=this.comObj,n=this.streamControllers[t],s=this.streamSinks[t];switch(e.stream){case Dc:e.success?n.startCall.resolve():n.startCall.reject(wrapReason(e.reason));break;case Mc:e.success?n.pullCall.resolve():n.pullCall.reject(wrapReason(e.reason));break;case Oc:if(!s){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,succ\
+ess:!0});break}s.desiredSize<=0&&e.desiredSize>0&&s.sinkCapability.resolve();s.desiredSize=e.desiredSize;Promise.try(s.onPull||onFn).then((function(){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,success:!0})}),(function(e){i.postMessage({sourceName:a,targetName:r,stream:Mc,streamId:t,reason:wrapReason(e)})}));break;case Ic:assert(n,"enqueue should have stream controller");if(n.isClosed)break;n.controller.enqueue(e.chunk);break;case Fc:assert(n,"close should have stream controlle\
+r");if(n.isClosed)break;n.isClosed=!0;n.controller.close();this.#et(n,t);break;case Tc:assert(n,"error should have stream controller");n.controller.error(wrapReason(e.reason));this.#et(n,t);break;case vc:e.success?n.cancelCall.resolve():n.cancelCall.reject(wrapReason(e.reason));this.#et(n,t);break;case Cc:if(!s)break;const o=wrapReason(e.reason);Promise.try(s.onCancel||onFn,o).then((function(){i.postMessage({sourceName:a,targetName:r,stream:vc,streamId:t,success:!0})}),(function(e){i.postMessage\
+({sourceName:a,targetName:r,stream:vc,streamId:t,reason:wrapReason(e)})}));s.sinkCapability.reject(o);s.isCancelled=!0;delete this.streamSinks[t];break;default:throw new Error("Unexpected stream case")}}async#et(e,t){await Promise.allSettled([e.startCall?.promise,e.pullCall?.promise,e.cancelCall?.promise]);delete this.streamControllers[t]}destroy(){this.#Je?.abort();this.#Je=null}}async function writeObject(e,t,a,{encrypt:r=null}){const i=r?.createCipherTransform(e.num,e.gen);a.push(`${e.num} ${\
+e.gen} obj\\n`);t instanceof Dict?await writeDict(t,a,i):t instanceof BaseStream?await writeStream(t,a,i):(Array.isArray(t)||ArrayBuffer.isView(t))&&await writeArray(t,a,i);a.push("\\nendobj\\n")}async function writeDict(e,t,a){t.push("<<");for(const r of e.getKeys()){t.push(` /${escapePDFName(r)} `);await writeValue(e.getRaw(r),t,a)}t.push(">>")}async function writeStream(e,t,a){let r=e.getBytes();const{dict:i}=e,[n,s]=await Promise.all([i.getAsync("Filter"),i.getAsync("DecodeParms")]),o=isName(Ar\
+ray.isArray(n)?await i.xref.fetchIfRefAsync(n[0]):n,"FlateDecode");if(r.length>=256||o)try{const e=new CompressionStream("deflate"),t=e.writable.getWriter();await t.ready;t.write(r).then((async()=>{await t.ready;await t.close()})).catch((()=>{}));const a=await new Response(e.readable).arrayBuffer();r=new Uint8Array(a);let c,l;if(n){if(!o){c=Array.isArray(n)?[Name.get("FlateDecode"),...n]:[Name.get("FlateDecode"),n];s&&(l=Array.isArray(s)?[null,...s]:[null,s])}}else c=Name.get("FlateDecode");c&&i\
+.set("Filter",c);l&&i.set("DecodeParms",l)}catch(e){info(`writeStream - cannot compress data: "${e}".`)}let c=bytesToString(r);a&&(c=a.encryptString(c));i.set("Length",c.length);await writeDict(i,t,a);t.push(" stream\\n",c,"\\nendstream")}async function writeArray(e,t,a){t.push("[");let r=!0;for(const i of e){r?r=!1:t.push(" ");await writeValue(i,t,a)}t.push("]")}async function writeValue(e,t,a){if(e instanceof Name)t.push(`/${escapePDFName(e.name)}`);else if(e instanceof Ref)t.push(`${e.num} ${e.\
+gen} R`);else if(Array.isArray(e)||ArrayBuffer.isView(e))await writeArray(e,t,a);else if("string"==typeof e){a&&(e=a.encryptString(e));t.push(`(${escapeString(e)})`)}else"number"==typeof e?t.push(numberToString(e)):"boolean"==typeof e?t.push(e.toString()):e instanceof Dict?await writeDict(e,t,a):e instanceof BaseStream?await writeStream(e,t,a):null===e?t.push("null"):warn(`Unhandled value in writer: ${typeof e}, please file a bug.`)}function writeInt(e,t,a,r){for(let i=t+a-1;i>a-1;i--){r[i]=255&\
+e;e>>=8}return a+t}function writeString(e,t,a){const r=e.length;for(let i=0;i<r;i++)a[t+i]=255&e.charCodeAt(i);return t+r}function updateXFA({xfaData:e,xfaDatasetsRef:t,changes:a,xref:r}){if(null===e){e=function writeXFADataForAcroform(e,t){const a=new SimpleXMLParser({hasAttributes:!0}).parseFromString(e);for(const{xfa:e}of t){if(!e)continue;const{path:t,value:r}=e;if(!t)continue;const i=parseXFAPath(t);let n=a.documentElement.searchNode(i,0);!n&&i.length>1&&(n=a.documentElement.searchNode([i.a\
+t(-1)],0));n?n.childNodes=Array.isArray(r)?r.map((e=>new SimpleDOMNode("value",e))):[new SimpleDOMNode("#text",r)]:warn(`Node not found for path: ${t}`)}const r=[];a.documentElement.dump(r);return r.join("")}(r.fetchIfRef(t).getString(),a)}const i=new StringStream(e);i.dict=new Dict(r);i.dict.setIfName("Type","EmbeddedFile");a.put(t,{data:i})}function getIndexes(e){const t=[];for(const{ref:a}of e)a.num===t.at(-2)+t.at(-1)?t[t.length-1]+=1:t.push(a.num,1);return t}function computeIDs(e,t,a){if(Ar\
+ray.isArray(t.fileIds)&&t.fileIds.length>0){const r=function computeMD5(e,t){const a=Math.floor(Date.now()/1e3),r=t.filename||"",i=[a.toString(),r,e.toString(),...t.infoMap.values()],n=Math.sumPrecise(i.map((e=>e.length))),s=new Uint8Array(n);let o=0;for(const e of i)o=writeString(e,o,s);return bytesToString(calculateMD5(s,0,s.length))}(e,t);a.set("ID",[t.fileIds[0],r])}}async function incrementalUpdate({originalData:e,xrefInfo:t,changes:a,xref:r=null,hasXfa:i=!1,xfaDatasetsRef:n=null,hasXfaData\
+setsEntry:s=!1,needAppearances:o,acroFormRef:c=null,acroForm:l=null,xfaData:h=null,useXrefStream:u=!1}){await async function updateAcroform({xref:e,acroForm:t,acroFormRef:a,hasXfa:r,hasXfaDatasetsEntry:i,xfaDatasetsRef:n,needAppearances:s,changes:o}){!r||i||n||warn("XFA - Cannot save it");if(!s&&(!r||!n||i))return;const c=t.clone();if(r&&!i){const e=t.get("XFA").slice();e.splice(2,0,"datasets");e.splice(3,0,n);c.set("XFA",e)}s&&c.set("NeedAppearances",!0);o.put(a,{data:c})}({xref:r,acroForm:l,ac\
+roFormRef:c,hasXfa:i,hasXfaDatasetsEntry:s,xfaDatasetsRef:n,needAppearances:o,changes:a});i&&updateXFA({xfaData:h,xfaDatasetsRef:n,changes:a,xref:r});const d=function getTrailerDict(e,t,a){const r=new Dict(null);r.set("Prev",e.startXRef);const i=e.newRef;if(a){t.put(i,{data:""});r.set("Size",i.num+1);r.setIfName("Type","XRef")}else r.set("Size",i.num);null!==e.rootRef&&r.set("Root",e.rootRef);null!==e.infoRef&&r.set("Info",e.infoRef);null!==e.encryptRef&&r.set("Encrypt",e.encryptRef);return r}(t\
+,a,u),f=[],g=await async function writeChanges(e,t,a=[]){const r=[];for(const[i,{data:n}]of e.items())if(null!==n&&"string"!=typeof n){await writeObject(i,n,a,t);r.push({ref:i,data:a.join("")});a.length=0}else r.push({ref:i,data:n});return r.sort(((e,t)=>e.ref.num-t.ref.num))}(a,r,f);let p=e.length;const m=e.at(-1);if(10!==m&&13!==m){f.push("\\n");p+=1}for(const{data:e}of g)null!==e&&f.push(e);await(u?async function getXRefStreamTable(e,t,a,r,i){const n=[];let s=0,o=0;for(const{ref:e,data:r}of a)\
+{let a;s=Math.max(s,t);if(null!==r){a=Math.min(e.gen,65535);n.push([1,t,a]);t+=r.length}else{a=Math.min(e.gen+1,65535);n.push([0,0,a])}o=Math.max(o,a)}r.set("Index",getIndexes(a));const c=[1,getSizeInBytes(s),getSizeInBytes(o)];r.set("W",c);computeIDs(t,e,r);const l=Math.sumPrecise(c),h=new Uint8Array(l*n.length),u=new Stream(h);u.dict=r;let d=0;for(const[e,t,a]of n){d=writeInt(e,c[0],d,h);d=writeInt(t,c[1],d,h);d=writeInt(a,c[2],d,h)}await writeObject(e.newRef,u,i,{});i.push("startxref\\n",t.toS\
+tring(),"\\n%%EOF\\n")}(t,p,g,d,f):async function getXRefTable(e,t,a,r,i){i.push("xref\\n");const n=getIndexes(a);let s=0;for(const{ref:e,data:r}of a){if(e.num===n[s]){i.push(`${n[s]} ${n[s+1]}\\n`);s+=2}if(null!==r){i.push(`${t.toString().padStart(10,"0")} ${Math.min(e.gen,65535).toString().padStart(5,"0")} n\\r\\n`);t+=r.length}else i.push(`0000000000 ${Math.min(e.gen+1,65535).toString().padStart(5,"0")} f\\r\\n`)}computeIDs(t,e,r);i.push("trailer\\n");await writeDict(r,i);i.push("\\nstartxref\\n",t.toSt\
+ring(),"\\n%%EOF\\n")}(t,p,g,d,f));const b=e.length+Math.sumPrecise(f.map((e=>e.length))),y=new Uint8Array(b);y.set(e);let w=e.length;for(const e of f)w=writeString(e,w,y);return y}class PDFWorkerStream{constructor(e){this._msgHandler=e;this._contentLength=null;this._fullRequestReader=null;this._rangeRequestReaders=[]}getFullReader(){assert(!this._fullRequestReader,"PDFWorkerStream.getFullReader can only be called once.");this._fullRequestReader=new PDFWorkerStreamReader(this._msgHandler);return t\
+his._fullRequestReader}getRangeReader(e,t){const a=new PDFWorkerStreamRangeReader(e,t,this._msgHandler);this._rangeRequestReaders.push(a);return a}cancelAllRequests(e){this._fullRequestReader?.cancel(e);for(const t of this._rangeRequestReaders.slice(0))t.cancel(e)}}class PDFWorkerStreamReader{constructor(e){this._msgHandler=e;this.onProgress=null;this._contentLength=null;this._isRangeSupported=!1;this._isStreamingSupported=!1;const t=this._msgHandler.sendWithStream("GetReader");this._reader=t.ge\
+tReader();this._headersReady=this._msgHandler.sendWithPromise("ReaderHeadersReady").then((e=>{this._isStreamingSupported=e.isStreamingSupported;this._isRangeSupported=e.isRangeSupported;this._contentLength=e.contentLength}))}get headersReady(){return this._headersReady}get contentLength(){return this._contentLength}get isStreamingSupported(){return this._isStreamingSupported}get isRangeSupported(){return this._isRangeSupported}async read(){const{value:e,done:t}=await this._reader.read();return t\
+?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class PDFWorkerStreamRangeReader{constructor(e,t,a){this._msgHandler=a;this.onProgress=null;const r=this._msgHandler.sendWithStream("GetRangeReader",{begin:e,end:t});this._reader=r.getReader()}get isStreamingSupported(){return!1}async read(){const{value:e,done:t}=await this._reader.read();return t?{value:void 0,done:!0}:{value:e.buffer,done:!1}}cancel(e){this._reader.cancel(e)}}class WorkerTask{constructor(e){this\
+.name=e;this.terminated=!1;this._capability=Promise.withResolvers()}get finished(){return this._capability.promise}finish(){this._capability.resolve()}terminate(){this.terminated=!0}ensureNotTerminated(){if(this.terminated)throw new Error("Worker task was terminated")}}class WorkerMessageHandler{static{"undefined"==typeof window&&!e&&"undefined"!=typeof self&&"function"==typeof self.postMessage&&"onmessage"in self&&this.initializeFromPort(self)}static setup(e,t){let a=!1;e.on("test",(t=>{if(!a){\
+a=!0;e.send("test",t instanceof Uint8Array)}}));e.on("configure",(e=>{!function setVerbosityLevel(e){Number.isInteger(e)&&(da=e)}(e.verbosity)}));e.on("GetDocRequest",(e=>this.createDocumentHandler(e,t)))}static createDocumentHandler(e,t){let a,r=!1,i=null;const n=new Set,s=getVerbosityLevel(),{docId:o,apiVersion:c}=e,l="5.4.54";if(c!==l)throw new Error(`The API version "${c}" does not match the Worker version "${l}".`);const buildMsg=(e,t)=>`The \\`${e}.prototype\\` contains unexpected enumerable\
+ property "${t}", thus breaking e.g. \\`for...in\\` iteration of ${e}s.`;for(const e in{})throw new Error(buildMsg("Object",e));for(const e in[])throw new Error(buildMsg("Array",e));const h=o+"_worker";let u=new MessageHandler(h,o,t);function ensureNotTerminated(){if(r)throw new Error("Worker was terminated")}function startWorkerTask(e){n.add(e)}function finishWorkerTask(e){e.finish();n.delete(e)}async function loadDocument(e){await a.ensureDoc("checkHeader");await a.ensureDoc("parseStartXRef");aw\
+ait a.ensureDoc("parse",[e]);await a.ensureDoc("checkFirstPage",[e]);await a.ensureDoc("checkLastPage",[e]);const t=await a.ensureDoc("isPureXfa");if(t){const e=new WorkerTask("loadXfaResources");startWorkerTask(e);await a.ensureDoc("loadXfaResources",[u,e]);finishWorkerTask(e)}const[r,i]=await Promise.all([a.ensureDoc("numPages"),a.ensureDoc("fingerprints")]);return{numPages:r,fingerprints:i,htmlForXfa:t?await a.ensureDoc("htmlForXfa"):null}}function setupDoc(e){function onSuccess(e){ensureNotT\
+erminated();u.send("GetDoc",{pdfInfo:e})}function onFailure(e){ensureNotTerminated();if(e instanceof PasswordException){const t=new WorkerTask(`PasswordException: response ${e.code}`);startWorkerTask(t);u.sendWithPromise("PasswordRequest",e).then((function({password:e}){finishWorkerTask(t);a.updatePassword(e);pdfManagerReady()})).catch((function(){finishWorkerTask(t);u.send("DocException",e)}))}else u.send("DocException",wrapReason(e))}function pdfManagerReady(){ensureNotTerminated();loadDocumen\
+t(!1).then(onSuccess,(function(e){ensureNotTerminated();e instanceof XRefParseException?a.requestLoadedStream().then((function(){ensureNotTerminated();loadDocument(!0).then(onSuccess,onFailure)})):onFailure(e)}))}ensureNotTerminated();(async function getPdfManager({data:e,password:t,disableAutoFetch:a,rangeChunkSize:r,length:n,docBaseUrl:s,enableXfa:c,evaluatorOptions:l}){const h={source:null,disableAutoFetch:a,docBaseUrl:s,docId:o,enableXfa:c,evaluatorOptions:l,handler:u,length:n,password:t,ran\
+geChunkSize:r};if(e){h.source=e;return new LocalPdfManager(h)}const d=new PDFWorkerStream(u),f=d.getFullReader(),g=Promise.withResolvers();let p,m=[],b=0;f.headersReady.then((function(){if(f.isRangeSupported){h.source=d;h.length=f.contentLength;h.disableAutoFetch||=f.isStreamingSupported;p=new NetworkPdfManager(h);for(const e of m)p.sendProgressiveData(e);m=[];g.resolve(p);i=null}})).catch((function(e){g.reject(e);i=null}));new Promise((function(e,t){const readChunk=function({value:e,done:a}){tr\
+y{ensureNotTerminated();if(a){if(!p){const e=arrayBuffersToBytes(m);m=[];n&&e.length!==n&&warn("reported HTTP length is different from actual");h.source=e;p=new LocalPdfManager(h);g.resolve(p)}i=null;return}b+=e.byteLength;f.isStreamingSupported||u.send("DocProgress",{loaded:b,total:Math.max(b,f.contentLength||0)});p?p.sendProgressiveData(e):m.push(e);f.read().then(readChunk,t)}catch(e){t(e)}};f.read().then(readChunk,t)})).catch((function(e){g.reject(e);i=null}));i=e=>{d.cancelAllRequests(e)};re\
+turn g.promise})(e).then((function(e){if(r){e.terminate(new AbortException("Worker was terminated."));throw new Error("Worker was terminated")}a=e;a.requestLoadedStream(!0).then((e=>{u.send("DataLoaded",{length:e.bytes.byteLength})}))})).then(pdfManagerReady,onFailure)}u.on("GetPage",(function(e){return a.getPage(e.pageIndex).then((function(e){return Promise.all([a.ensure(e,"rotate"),a.ensure(e,"ref"),a.ensure(e,"userUnit"),a.ensure(e,"view")]).then((function([e,t,a,r]){return{rotate:e,ref:t,ref\
+Str:t?.toString()??null,userUnit:a,view:r}}))}))}));u.on("GetPageIndex",(function(e){const t=Ref.get(e.num,e.gen);return a.ensureCatalog("getPageIndex",[t])}));u.on("GetDestinations",(function(e){return a.ensureCatalog("destinations")}));u.on("GetDestination",(function(e){return a.ensureCatalog("getDestination",[e.id])}));u.on("GetPageLabels",(function(e){return a.ensureCatalog("pageLabels")}));u.on("GetPageLayout",(function(e){return a.ensureCatalog("pageLayout")}));u.on("GetPageMode",(function\
+(e){return a.ensureCatalog("pageMode")}));u.on("GetViewerPreferences",(function(e){return a.ensureCatalog("viewerPreferences")}));u.on("GetOpenAction",(function(e){return a.ensureCatalog("openAction")}));u.on("GetAttachments",(function(e){return a.ensureCatalog("attachments")}));u.on("GetDocJSActions",(function(e){return a.ensureCatalog("jsActions")}));u.on("GetPageJSActions",(function({pageIndex:e}){return a.getPage(e).then((e=>a.ensure(e,"jsActions")))}));u.on("GetOutline",(function(e){return \
+a.ensureCatalog("documentOutline")}));u.on("GetOptionalContentConfig",(function(e){return a.ensureCatalog("optionalContentConfig")}));u.on("GetPermissions",(function(e){return a.ensureCatalog("permissions")}));u.on("GetMetadata",(function(e){return Promise.all([a.ensureDoc("documentInfo"),a.ensureCatalog("metadata")])}));u.on("GetMarkInfo",(function(e){return a.ensureCatalog("markInfo")}));u.on("GetData",(function(e){return a.requestLoadedStream().then((e=>e.bytes))}));u.on("GetAnnotations",(fun\
+ction({pageIndex:e,intent:t}){return a.getPage(e).then((function(a){const r=new WorkerTask(`GetAnnotations: page ${e}`);startWorkerTask(r);return a.getAnnotationsData(u,r,t).then((e=>{finishWorkerTask(r);return e}),(e=>{finishWorkerTask(r);throw e}))}))}));u.on("GetFieldObjects",(function(e){return a.ensureDoc("fieldObjects").then((e=>e?.allFields||null))}));u.on("HasJSActions",(function(e){return a.ensureDoc("hasJSActions")}));u.on("GetCalculationOrderIds",(function(e){return a.ensureDoc("calcu\
+lationOrderIds")}));u.on("SaveDocument",(async function({isPureXfa:e,numPages:t,annotationStorage:r,filename:i}){const n=[a.requestLoadedStream(),a.ensureCatalog("acroForm"),a.ensureCatalog("acroFormRef"),a.ensureDoc("startXRef"),a.ensureDoc("xref"),a.ensureDoc("linearization"),a.ensureCatalog("structTreeRoot")],s=new RefSetCache,o=[],c=e?null:getNewAnnotationsMap(r),[l,h,d,f,g,p,m]=await Promise.all(n),b=g.trailer.getRaw("Root")||null;let y;if(c){m?await m.canUpdateStructTree({pdfManager:a,newA\
+nnotationsByPage:c})&&(y=m):await StructTreeRoot.canCreateStructureTree({catalogRef:b,pdfManager:a,newAnnotationsByPage:c})&&(y=null);const e=AnnotationFactory.generateImages(r.values(),g,a.evaluatorOptions.isOffscreenCanvasSupported),t=void 0===y?o:[];for(const[r,i]of c)t.push(a.getPage(r).then((t=>{const a=new WorkerTask(`Save (editor): page ${r}`);startWorkerTask(a);return t.saveNewAnnotations(u,a,i,e,s).finally((function(){finishWorkerTask(a)}))})));null===y?o.push(Promise.all(t).then((async\
+()=>{await StructTreeRoot.createStructureTree({newAnnotationsByPage:c,xref:g,catalogRef:b,pdfManager:a,changes:s})}))):y&&o.push(Promise.all(t).then((async()=>{await y.updateStructureTree({newAnnotationsByPage:c,pdfManager:a,changes:s})})))}if(e)o.push(a.ensureDoc("serializeXfaData",[r]));else for(let e=0;e<t;e++)o.push(a.getPage(e).then((function(t){const a=new WorkerTask(`Save: page ${e}`);startWorkerTask(a);return t.save(u,a,r,s).finally((function(){finishWorkerTask(a)}))})));const w=await Pr\
+omise.all(o);let x=null;if(e){x=w[0];if(!x)return l.bytes}else if(0===s.size)return l.bytes;const S=d&&h instanceof Dict&&s.values().some((e=>e.needAppearances)),k=h instanceof Dict&&h.get("XFA")||null;let C=null,v=!1;if(Array.isArray(k)){for(let e=0,t=k.length;e<t;e+=2)if("datasets"===k[e]){C=k[e+1];v=!0}null===C&&(C=g.getNewTemporaryRef())}else k&&warn("Unsupported XFA type.");let F=Object.create(null);if(g.trailer){const e=new Map,t=g.trailer.get("Info")||null;if(t instanceof Dict)for(const[a\
+,r]of t)"string"==typeof r&&e.set(a,stringToPDFString(r));F={rootRef:b,encryptRef:g.trailer.getRaw("Encrypt")||null,newRef:g.getNewTemporaryRef(),infoRef:g.trailer.getRaw("Info")||null,infoMap:e,fileIds:g.trailer.get("ID")||null,startXRef:p?f:g.lastXRefStreamPos??f,filename:i}}return incrementalUpdate({originalData:l.bytes,xrefInfo:F,changes:s,xref:g,hasXfa:!!k,xfaDatasetsRef:C,hasXfaDatasetsEntry:v,needAppearances:S,acroFormRef:d,acroForm:h,xfaData:x,useXrefStream:isDict(g.topDict,"XRef")}).fin\
+ally((()=>{g.resetNewTemporaryRef()}))}));u.on("GetOperatorList",(function(e,t){const r=e.pageIndex;a.getPage(r).then((function(a){const i=new WorkerTask(`GetOperatorList: page ${r}`);startWorkerTask(i);const n=s>=Ae?Date.now():0;a.getOperatorList({handler:u,sink:t,task:i,intent:e.intent,cacheKey:e.cacheKey,annotationStorage:e.annotationStorage,modifiedIds:e.modifiedIds}).then((function(e){finishWorkerTask(i);n&&info(`page=${r+1} - getOperatorList: time=${Date.now()-n}ms, len=${e.length}`);t.clo\
+se()}),(function(e){finishWorkerTask(i);i.terminated||t.error(e)}))}))}));u.on("GetTextContent",(function(e,t){const{pageIndex:r,includeMarkedContent:i,disableNormalization:n}=e;a.getPage(r).then((function(e){const a=new WorkerTask("GetTextContent: page "+r);startWorkerTask(a);const o=s>=Ae?Date.now():0;e.extractTextContent({handler:u,task:a,sink:t,includeMarkedContent:i,disableNormalization:n}).then((function(){finishWorkerTask(a);o&&info(`page=${r+1} - getTextContent: time=`+(Date.now()-o)+"ms\
+");t.close()}),(function(e){finishWorkerTask(a);a.terminated||t.error(e)}))}))}));u.on("GetStructTree",(function(e){return a.getPage(e.pageIndex).then((e=>a.ensure(e,"getStructTree")))}));u.on("FontFallback",(function(e){return a.fontFallback(e.id,u)}));u.on("Cleanup",(function(e){return a.cleanup(!0)}));u.on("Terminate",(function(e){r=!0;const t=[];if(a){a.terminate(new AbortException("Worker was terminated."));const e=a.cleanup();t.push(e);a=null}else clearGlobalCaches();i?.(new AbortException\
+("Worker was terminated."));for(const e of n){t.push(e.finished);e.terminate()}return Promise.all(t).then((function(){u.destroy();u=null}))}));u.on("Ready",(function(t){setupDoc(e);e=null}));return h}static initializeFromPort(e){const t=new MessageHandler("worker","main",e);this.setup(t,e);t.send("ready",null)}}globalThis.pdfjsWorker={WorkerMessageHandler};export{WorkerMessageHandler};',pdf_worker_min$1=Object.freeze(Object.defineProperty({__proto__:null,default:pdf_worker_min},Symbol.toStringTag,
+{value:"Module"}));export{app,start};
diff --git a/tools/server/public/index.html b/tools/server/public/index.html
index 2ebe0d467..4c8c8d50b 100644
--- a/tools/server/public/index.html
+++ b/tools/server/public/index.html
@@ -1,5 +1,5 @@
 <!--
-  This is a single file build of the frontend.
+  This is a static build of the frontend.
   It is automatically generated by the build process.
   Do not edit this file directly.
   To make changes, refer to the "Web UI" section in the README.
@@ -10,15 +10,15 @@
 		<meta charset="utf-8" />
 		<link rel="icon" href="data:image/svg+xml;base64,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" />
 		<meta name="viewport" content="width=device-width, initial-scale=1" />
+		<link href="./bundle.js" rel="modulepreload">
 		
 		<link href="./bundle.css" rel="stylesheet">
-		<link rel="modulepreload" href="./bundle.js">
 	</head>
 	<body data-sveltekit-preload-data="hover">
 		<div style="display: contents">
 			<script>
 				{
-					__sveltekit_1trm5n9 = {
+					__sveltekit__ = {
 						base: new URL('.', location).pathname.slice(0, -1)
 					};
 
diff --git a/tools/server/public_legacy/colorthemes.css b/tools/server/public_legacy/colorthemes.css
deleted file mode 100755
index b1e2b8b70..000000000
--- a/tools/server/public_legacy/colorthemes.css
+++ /dev/null
@@ -1,402 +0,0 @@
-@import url("theme-snowstorm.css");
-@import url("theme-polarnight.css");
-@import url("theme-ketivah.css");
-@import url("theme-mangotango.css");
-@import url("theme-playground.css");
-@import url("theme-beeninorder.css");
-
-:root {
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --primary-color-1-hue:             217.5;
-    --primary-color-1-saturation:      26.7%;
-    --primary-color-1-lightness:       94.1%;
-
---primary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --primary-color-2-hue:             218.2;
-    --primary-color-2-saturation:      26.8%;
-    --primary-color-2-lightness:       92.0%;
-
---primary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --primary-color-3-hue:             218.8;
-    --primary-color-3-saturation:      27.9%;
-    --primary-color-3-lightness:       88.0%;
-
---primary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --primary-color-4-hue:             218.8;
-    --primary-color-4-saturation:      18.3%;
-    --primary-color-4-lightness:       81.8%;
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(220.0, 16.4%, 21.6%);
-    --secondary-color-1-hue:             220.0;
-    --secondary-color-1-saturation:      16.4%;
-    --secondary-color-1-lightness:       21.6%;
-
---secondary-color-2: hsl(221.7, 16.3%, 27.6%);
-    --secondary-color-2-hue:             221.7;
-    --secondary-color-2-saturation:      16.3%;
-    --secondary-color-2-lightness:       27.6%;
-
---secondary-color-3: hsl(220.0, 16.8%, 31.6%);
-    --secondary-color-3-hue:             220.0;
-    --secondary-color-3-saturation:      16.8%;
-    --secondary-color-3-lightness:       31.6%;
-
---secondary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --secondary-color-4-hue:             220.0;
-    --secondary-color-4-saturation:      16.5%;
-    --secondary-color-4-lightness:       35.7%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(32.5, 80%, 50%);
---theme-orange-color: hsl(32.5, 70%, 45%);
---theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
---theme-green-color:  hsl(92.4,  27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-orange-color);
---button-alert-border-hover:     var(--theme-orange-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) + 35%),
-    calc(var(--secondary-color-1-lightness)  - 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) + 40%),
-    calc(var(--theme-nuance-color-3-lightness)  - 55%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-}
-
-/*
-
-.theme-template {
-
-
-    If light theme: should go from bright to darker
-    If dark theme: should go from dark to brighter
-    ideally this should not be anything but steps of
-    gray or slightly variants from it
-
-    --primary-color-1: #2E3440;
-    --primary-color-2: #3B4252;
-    --primary-color-3: #434C5E;
-    --primary-color-4: #4C566A;
-
-
-
-    If light theme: should go from dark to brighter
-    If dark theme: should go from bright to darker
-    ideally this should not be anything but steps of
-    gray or slightly variants from it
-
-    --secondary-color-1: #ECEFF4;
-    --secondary-color-2: #E5E9F0;
-    --secondary-color-3: #D8DEE9;
-    --secondary-color-4: #C8CED9;
-
-
-
-    Choose wisely nuance colors. It is not easy to find
-    4 harmonizing nuance colors. But keep in mind, that
-    only one accent color could work too.
-
-    --theme-nuance-color-1: #8FBCBB;
-    --theme-nuance-color-2: #88C0D0;
-    --theme-nuance-color-3: #81A1C1;
-    --theme-nuance-color-4: #5E81AC;
-
-
-
-    adapt the color red, orange, yellow, green,
-    purple to the 'mood' of your overall design
-    e.g is it low-contrast? vibrant? dynamic? etc
-
-    --theme-red-color:    #BF616A;
-    --theme-orange-color: #D08770;
-    --theme-yellow-color: #EBCB8B;
-    --theme-green-color:  #A3BE8C;
-    --theme-purple-color: #B48EAD;
-
-
-
-NOTE: comment all those line `--- ...` out
-------------------------------------------------
---background-color-1:
---background-color-2:
---background-color-3:
---background-color-4:
-
---border-color-1:
---border-color-2:
---border-color-3:
-
---border-focus-color:
---border-focus-shadow:
-
---text-color-plain:
---text-color-subtile-1:
---text-color-subtile-2:
-
---code-background-color:
---code-text-color:
-
---ui-range-thumb-color:
---ui-range-thumb-border:
-
---textarea-border-color:
-
-
-
--------------------------------------------
---button-alert-text-hover:
---button-alert-color-hover:
---button-alert-border-hover:
-
---button-alert-text-active:
---button-alert-color-active:
---button-alert-border-active:
-
-
-
------------ PRIMARY -----------------------
---button should immediately catch the eye--
-
---button-primary-text:
---button-primary-color:
---button-primary-border:
-
-
----------hover----------
---button-primary-text-hover:
---button-primary-color-hover:
---button-primary-border-hover:
-
-
----------active---------
---button-primary-text-active:
---button-primary-color-active:
---button-primary-border-active:
-
-
-
------------- SECONDARY ------------------------
---button should NOT immediately catch the eye--
-
---button-secondary-text:
---button-secondary-color:
---button-secondary-border:
-
-
----------hover----------
---button-secondary-text-hover:
---button-secondary-color-hover:
---button-secondary-border-hover:
-
-
----------active---------
---button-secondary-text-active:
---button-secondary-color-active:
---button-secondary-border-active:
-
-
-
----------- TERTIARY -----------------------
----------- disabled buttons ---------------
---button-tertiary-text:
---button-tertiary-color:
---button-tertiary-border:
-
-
----------hover----------
---button-tertiary-text:
---button-tertiary-color:
---button-tertiary-border:
-
-}
-
-*/
diff --git a/tools/server/public_legacy/completion.js b/tools/server/public_legacy/completion.js
deleted file mode 100644
index 30df7c2fa..000000000
--- a/tools/server/public_legacy/completion.js
+++ /dev/null
@@ -1,209 +0,0 @@
-const paramDefaults = {
-  stream: true,
-  n_predict: 500,
-  temperature: 0.2,
-  stop: ["</s>"]
-};
-
-let generation_settings = null;
-
-
-// Completes the prompt as a generator. Recommended for most use cases.
-//
-// Example:
-//
-//    import { llama } from '/completion.js'
-//
-//    const request = llama("Tell me a joke", {n_predict: 800})
-//    for await (const chunk of request) {
-//      document.write(chunk.data.content)
-//    }
-//
-export async function* llama(prompt, params = {}, config = {}) {
-  let controller = config.controller;
-  const api_url = config.api_url?.replace(/\/+$/, '') || "";
-
-  if (!controller) {
-    controller = new AbortController();
-  }
-
-  const completionParams = { ...paramDefaults, ...params, prompt };
-
-  const response = await fetch(`${api_url}${config.endpoint || '/completion'}`, {
-    method: 'POST',
-    body: JSON.stringify(completionParams),
-    headers: {
-      'Connection': 'keep-alive',
-      'Content-Type': 'application/json',
-      'Accept': 'text/event-stream',
-      ...(params.api_key ? {'Authorization': `Bearer ${params.api_key}`} : {})
-    },
-    signal: controller.signal,
-  });
-
-  const reader = response.body.getReader();
-  const decoder = new TextDecoder();
-
-  let content = "";
-  let leftover = ""; // Buffer for partially read lines
-
-  try {
-    let cont = true;
-
-    while (cont) {
-      const result = await reader.read();
-      if (result.done) {
-        break;
-      }
-
-      // Add any leftover data to the current chunk of data
-      const text = leftover + decoder.decode(result.value);
-
-      // Check if the last character is a line break
-      const endsWithLineBreak = text.endsWith('\n');
-
-      // Split the text into lines
-      let lines = text.split('\n');
-
-      // If the text doesn't end with a line break, then the last line is incomplete
-      // Store it in leftover to be added to the next chunk of data
-      if (!endsWithLineBreak) {
-        leftover = lines.pop();
-      } else {
-        leftover = ""; // Reset leftover if we have a line break at the end
-      }
-
-      // Parse all sse events and add them to result
-      const regex = /^(\S+):\s(.*)$/gm;
-      for (const line of lines) {
-        const match = regex.exec(line);
-        if (match) {
-          result[match[1]] = match[2];
-          if (result.data === '[DONE]') {
-            cont = false;
-            break;
-          }
-
-          // since we know this is llama.cpp, let's just decode the json in data
-          if (result.data) {
-            result.data = JSON.parse(result.data);
-            content += result.data.content;
-
-            // yield
-            yield result;
-
-            // if we got a stop token from server, we will break here
-            if (result.data.stop) {
-              if (result.data.generation_settings) {
-                generation_settings = result.data.generation_settings;
-              }
-              cont = false;
-              break;
-            }
-          }
-          if (result.error) {
-            try {
-              result.error = JSON.parse(result.error);
-              if (result.error.message.includes('slot unavailable')) {
-                // Throw an error to be caught by upstream callers
-                throw new Error('slot unavailable');
-              } else {
-                console.error(`llama.cpp error [${result.error.code} - ${result.error.type}]: ${result.error.message}`);
-              }
-            } catch(e) {
-              console.error(`llama.cpp error ${result.error}`)
-            }
-          }
-        }
-      }
-    }
-  } catch (e) {
-    if (e.name !== 'AbortError') {
-      console.error("llama error: ", e);
-    }
-    throw e;
-  }
-  finally {
-    controller.abort();
-  }
-
-  return content;
-}
-
-// Call llama, return an event target that you can subscribe to
-//
-// Example:
-//
-//    import { llamaEventTarget } from '/completion.js'
-//
-//    const conn = llamaEventTarget(prompt)
-//    conn.addEventListener("message", (chunk) => {
-//      document.write(chunk.detail.content)
-//    })
-//
-export const llamaEventTarget = (prompt, params = {}, config = {}) => {
-  const eventTarget = new EventTarget();
-  (async () => {
-    let content = "";
-    for await (const chunk of llama(prompt, params, config)) {
-      if (chunk.data) {
-        content += chunk.data.content;
-        eventTarget.dispatchEvent(new CustomEvent("message", { detail: chunk.data }));
-      }
-      if (chunk.data.generation_settings) {
-        eventTarget.dispatchEvent(new CustomEvent("generation_settings", { detail: chunk.data.generation_settings }));
-      }
-      if (chunk.data.timings) {
-        eventTarget.dispatchEvent(new CustomEvent("timings", { detail: chunk.data.timings }));
-      }
-    }
-    eventTarget.dispatchEvent(new CustomEvent("done", { detail: { content } }));
-  })();
-  return eventTarget;
-}
-
-// Call llama, return a promise that resolves to the completed text. This does not support streaming
-//
-// Example:
-//
-//     llamaPromise(prompt).then((content) => {
-//       document.write(content)
-//     })
-//
-//     or
-//
-//     const content = await llamaPromise(prompt)
-//     document.write(content)
-//
-export const llamaPromise = (prompt, params = {}, config = {}) => {
-  return new Promise(async (resolve, reject) => {
-    let content = "";
-    try {
-      for await (const chunk of llama(prompt, params, config)) {
-        content += chunk.data.content;
-      }
-      resolve(content);
-    } catch (error) {
-      reject(error);
-    }
-  });
-};
-
-/**
- * (deprecated)
- */
-export const llamaComplete = async (params, controller, callback) => {
-  for await (const chunk of llama(params.prompt, params, { controller })) {
-    callback(chunk);
-  }
-}
-
-// Get the model info from the server. This is useful for getting the context window and so on.
-export const llamaModelInfo = async (config = {}) => {
-  if (!generation_settings) {
-    const api_url = config.api_url?.replace(/\/+$/, '') || "";
-    const props = await fetch(`${api_url}/props`).then(r => r.json());
-    generation_settings = props.default_generation_settings;
-  }
-  return generation_settings;
-}
diff --git a/tools/server/public_legacy/favicon.ico b/tools/server/public_legacy/favicon.ico
deleted file mode 100644
index 89e154a0a..000000000
Binary files a/tools/server/public_legacy/favicon.ico and /dev/null differ
diff --git a/tools/server/public_legacy/index-new.html b/tools/server/public_legacy/index-new.html
deleted file mode 100644
index 2cee7f3c3..000000000
--- a/tools/server/public_legacy/index-new.html
+++ /dev/null
@@ -1,1190 +0,0 @@
-<!DOCTYPE html>
-
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <link rel="icon" type="image/x-icon" href="favicon.ico">
-  <link rel="stylesheet" href="style.css">
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    import { promptFormats } from './prompt-formats.js';
-    import { systemPrompts } from './system-prompts.js'; // multilingual is wip
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "",
-      template: "{{prompt}}\n{{history}}{{char}}",
-      historyTemplate: "{{name}}: {{message}}\n",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "ASSISTANT",
-      user: "USER",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 358, // 358 is a nice number
-      temperature: 0.8, // adapt all following parameters to optimized min-p requirements. If for non-english, set to 0.6 or lower
-      repeat_last_n: 0, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.0, // 1.0 = disabled
-      dry_multiplier: 0.0, // 0.0 = disabled, 0.8 works well
-      dry_base: 1.75,     // 0.0 = disabled
-      dry_allowed_length: 2, // tokens extending repetitions beyond this receive penalty, 2 works well
-      dry_penalty_last_n: -1, // how many tokens to scan for repetitions (0 = disable penalty, -1 = context size)
-      top_k: 0, // <= 0 to use vocab size
-      top_p: 1.0, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled; recommended for non-english: ~ 0.4
-      xtc_probability: 0.0, // 0 = disabled;
-      xtc_threshold: 0.1, // > 0.5 disables XTC;
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-
-
-    /* START: Support for storing prompt templates and parameters in browser's LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Reseting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browser's LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: new URL('.', document.baseURI).href })) {
-        const data = chunk.data;
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-        if (data.timings) {
-          // llamaStats.value = data.timings;
-          llamaStats.value = data;
-        }
-      }
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-    // just in case (e.g. llama2)
-    const suffix = session.value.userMsgSuffix || "";
-    const prefix = session.value.userMsgPrefix || "";
-    const userMsg = prefix + msg + suffix;
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", userMsg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join(''),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", "<|end|>", "<|eot_id|>", "<|end_of_text|>", "<|im_end|>", "<|EOT|>", "<|END_OF_TURN_TOKEN|>", "<|end_of_turn|>", "<|endoftext|>", template("{{char}}"), template("{{user}}")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-      <form onsubmit=${submit}>
-        <div class="chat-input-container">
-          <textarea
-            id="chat-input" placeholder="Say Something ... (Shift + Enter for new line)"
-            class="${generating.value ? 'loading' : null}"
-            oninput=${(e) => message.value = e.target.value}
-            onkeypress=${enterSubmits}
-            rows="2"
-            type="text"
-            value="${message}"
-          ></textarea>
-        </div>
-
-          <div class="right">
-            <button class="button-back" onclick=${reset}>Back</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button type="submit" disabled=${generating.value}>Submit</button>
-          </div>
-        </form>
-      `
-    }
-
-    // the completion view needs some ux improvements
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div class="right">
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Back</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong class="chat-id-color">${template(user)}</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-
-
-///////////// UI Improvements /////////////
-//
-//
-const handleToggleChange = (e) => {
-  const isChecked = e.target.checked;
-  session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
-  localStorage.setItem('toggleState', isChecked);
-}
-//
-const loadToggleState = () => {
-  const storedState = localStorage.getItem('toggleState');
-  if (storedState !== null) {
-    const isChecked = storedState === 'true';
-    document.getElementById('toggle').checked = isChecked;
-    session.value = { ...session.value, type: isChecked ? 'completion' : 'chat' };
-  }
-}
-//
-document.addEventListener('DOMContentLoaded', loadToggleState);
-//
-//
-// function to update the prompt format
-function updatePromptFormat(e) {
-  const promptFormat = e.target.value;
-  if (promptFormats.hasOwnProperty(promptFormat)) {
-    session.value = {
-      ...session.value,
-      ...promptFormats[promptFormat]
-    };
-  } else {
-    // Use vicuna as llama.cpp's default setting, since it's most common
-    session.value = {
-      ...session.value,
-      template: "{{prompt}}\n{{history}}{{char}}",
-      historyTemplate: "{{name}}: {{message}}\n",
-      char: "ASSISTANT",
-      user: "USER"
-    };
-  }
-  console.log('Updated session value:', session.value);
-}
-//
-//
-// function to update the prompt format from the selected one
-function updatePromptFormatFromDropdown(element) {
-  const promptFormat = element.getAttribute('data-value');
-  console.log('Selected prompt format:', promptFormat); // debugging
-  updatePromptFormat({ target: { value: promptFormat } });
-}
-//
-//
-// function that adds the event listers as soon as the element is available
-function addEventListenersWhenAvailable() {
-  var themeSelector = document.getElementById('theme-selector');
-  if (themeSelector) {
-    themeSelector.addEventListener('change', function(event) {
-      // event-handler-code...
-    });
-    // placeholder event listeners
-  } else {
-    // if the element is not there yet, wait ahead
-    requestAnimationFrame(addEventListenersWhenAvailable);
-  }
-}
-//
-//
-// begin with the check
-requestAnimationFrame(addEventListenersWhenAvailable);
-//
-//
-// avoid default and create new event object with value from data value attribute
-function handleDropdownSelection(e, promptFormat) {
-  e.preventDefault();
-  const customEvent = {
-    target: {
-      value: promptFormat
-    }
-  };
-  // call our updatePromptFormat-function
-  updatePromptFormat(customEvent);
-}
-//
-//
-// function to update the system message
-function updateSystemPrompt(e) {
-  const SystemPrompt = e.target.value;
-  if (systemPrompts.hasOwnProperty(SystemPrompt)) {
-    session.value = {
-      ...session.value,
-      prompt: systemPrompts[SystemPrompt].systemPrompt
-    };
-  }
-}
-//
-//
-///////////// UI Improvements /////////////
-
-
-
-
-const ConfigForm = (props) => {
-  const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-  const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-  const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-  const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-  const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-  const grammarJsonSchemaPropOrder = signal('')
-  const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-  const convertJSONSchemaGrammar = async () => {
-    try {
-      let schema = JSON.parse(params.value.grammar)
-      const converter = new SchemaConverter({
-        prop_order: grammarJsonSchemaPropOrder.value
-          .split(',')
-          .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-        allow_fetch: true,
-      })
-      schema = await converter.resolveRefs(schema, 'input')
-      converter.visit(schema, '')
-      params.value = {
-        ...params.value,
-        grammar: converter.formatGrammar(),
-      }
-    } catch (e) {
-      alert(`Convert failed: ${e.message}`)
-    }
-  }
-
-  const FloatField = ({ label, title, max, min, name, step, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} title="${title}" />
-  <span id="${name}-value">${value}</span>
-</div>
-`
-};
-
-const IntField = ({ label, title, max, min, step, name, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsInt} title="${title}" />
-  <span id="${name}-value">${value}</span>
-</div>
-`
-};
-
-const BoolField = ({ label, title, name, value }) => {
-return html`
-<div>
-  <label for="${name}"><span title="${title}">${label}</span></label>
-  <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} title="${title}" />
-</div>
-`
-};
-
-  const userTemplateReset = (e) => {
-    e.preventDefault();
-    userTemplateResetToDefaultAndApply()
-  }
-
-  const UserTemplateResetButton = () => {
-    if (selectedUserTemplate.value.name == 'default') {
-      return html`
-      <button class="reset-button" id="id_reset" onclick="${userTemplateReset}">Reset</button>
-      `
-    }
-
-    return html`
-      <div class="button-container">
-        <button class="reset-button" title="Caution: This resets the entire form." onclick="${userTemplateReset}">Reset</button>
-      </div>
-    `
-  };
-
-  useEffect(() => {
-    // autosave template on every change
-    userTemplateAutosave()
-  }, [session.value, params.value])
-
-  const GrammarControl = () => (
-    html`
-      <div>
-        <div class="grammar">
-          <label for="template"></label>
-          <textarea id="grammar" name="grammar" placeholder="Use GBNF or JSON Schema + Converter" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-        </div>
-        <div class="grammar-columns">
-          <div class="json-schema-controls">
-            <input type="text" name="prop-order" placeholder="Order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" class="button-grammar" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-        </div>
-      </div>
-    `
-  );
-
-  const PromptControlFieldSet = () => (
-    html`
-      <fieldset>
-        <div class="input-container">
-          <label for="prompt" class="input-label">System</label>
-          <textarea
-            id="prompt"
-            class="persistent-input"
-            name="prompt"
-            placeholder="[Note] The following models do not support System Prompts by design:\n• OpenChat\n• Orion\n• Phi-3\n• Starling\n• Yi-...-Chat"
-            value="${session.value.prompt}"
-            oninput=${updateSession}
-          ></textarea>
-        </div>
-      </fieldset>
-    `
-  );
-
-  const ChatConfigForm = () => (
-    html`
-      <fieldset class="dropdowns">
-        <div>
-          <select id="promptFormat" name="promptFormat" onchange=${updatePromptFormat}>
-              <option value="default">Prompt Style</option>
-              <option value=""></option>
-            <optgroup label="Common Prompt-Styles">
-              <option value="alpaca">Alpaca</option>
-              <option value="chatml">ChatML</option>
-              <option value="commandr">Command R/+</option>
-              <option value="llama2">Llama 2</option>
-              <option value="llama3">Llama 3</option>
-              <option value="phi3">Phi-3</option>
-              <option value="openchat">OpenChat/Starling</option>
-              <option value="vicuna">Vicuna</option>
-              <option value=""></option>
-            </optgroup>
-            <optgroup label="More Prompt-Styles">
-              <option value="vicuna">Airoboros L2</option>
-              <option value="vicuna">BakLLaVA-1</option>
-              <option value="alpaca">Code Cherry Pop</option>
-              <option value="deepseekCoder">Deepseek Coder</option>
-              <option value="chatml">Dolphin Mistral</option>
-              <option value="chatml">evolvedSeeker 1.3B</option>
-              <option value="vicuna">Goliath 120B</option>
-              <option value="vicuna">Jordan</option>
-              <option value="vicuna">LLaVA</option>
-              <option value="chatml">Leo Hessianai</option>
-              <option value="vicuna">Leo Mistral</option>
-              <option value="vicuna">Marx</option>
-              <option value="med42">Med42</option>
-              <option value="alpaca">MetaMath</option>
-              <option value="llama2">Mistral Instruct</option>
-              <option value="chatml">Mistral 7B OpenOrca</option>
-              <option value="alpaca">MythoMax</option>
-              <option value="neuralchat">Neural Chat</option>
-              <option value="vicuna">Nous Capybara</option>
-              <option value="nousHermes">Nous Hermes</option>
-              <option value="openchatMath">OpenChat Math</option>
-              <option value="chatml">OpenHermes 2.5-Mistral</option>
-              <option value="alpaca">Orca Mini v3</option>
-              <option value="orion">Orion</option>
-              <option value="vicuna">Samantha</option>
-              <option value="chatml">Samantha Mistral</option>
-              <option value="sauerkrautLM">SauerkrautLM</option>
-              <option value="vicuna">Scarlett</option>
-              <option value="starlingCode">Starling Coding</option>
-              <option value="alpaca">Sydney</option>
-              <option value="vicuna">Synthia</option>
-              <option value="vicuna">Tess</option>
-              <option value="yi34b">Yi-6/9/34B-Chat</option>
-              <option value="zephyr">Zephyr</option>
-              <option value=""></option>
-            </optgroup>
-          </select>
-          <select id="SystemPrompt" name="SystemPrompt" onchange=${updateSystemPrompt}>
-            <option value="default">System Prompt</option>
-            <option value="empty">None</option>
-            <option value="airoboros">Airoboros</option>
-            <option value="alpaca">Alpaca</option>
-            <option value="atlas">Atlas</option>
-            <option value="atlas_de">Atlas - DE</option>
-            <option value="cot">Chain of Tought</option>
-            <option value="commandrempty">Command R/+ (empty)</option>
-            <option value="commandrexample">Command R/+ (example)</option>
-            <option value="deduce">Critical Thinking</option>
-            <option value="deepseekcoder">Deepseek Coder</option>
-            <option value="jordan">Jordan</option>
-            <option value="leomistral">Leo Mistral</option>
-            <option value="med42">Med42</option>
-            <option value="migeltot">Migel's Tree of Thought</option>
-            <option value="mistralopenorca">Mistral OpenOrca</option>
-            <option value="orcamini">Orca Mini</option>
-            <option value="samantha">Samantha</option>
-            <option value="sauerkraut">Sauerkraut</option>
-            <option value="scarlett">Scarlett</option>
-            <option value="synthia">Synthia</option>
-            <option value="vicuna">Vicuna</option>
-          </select>
-          <!--<select id="systemLanguage" name="systemLanguage">-->
-            <!--<option value="default">English</option>-->
-            <!--<option value="DE">German</option>-->
-            <!--<option value="placeholderLanguage">Placeholder</option>-->
-          <!--</select>-->
-        </div>
-      </fieldset>
-      ${PromptControlFieldSet()}
-        <fieldset>
-          <details>
-            <summary><span class="summary-title" id="id_prompt-style">Prompt Style</span></summary>
-            <fieldset class="names">
-          <div>
-            <label for="user" id="id_user-name">User ID</label>
-            <input type="text" id="user" name="user" value="${session.value.user}" oninput=${updateSession} />
-          </div>
-          <div>
-            <label for="bot" id="id_bot-name">AI ID</label>
-            <input type="text" id="bot" name="char" value="${session.value.char}" oninput=${updateSession} />
-          </div>
-        </fieldset>
-          <div class="two-columns">
-            <div>
-              <div class="input-container">
-                <label for="template" class="input-label-sec" id_prompt-template>Prompt Template</label>
-                <textarea id="template" class="persistent-input-sec" name="template" value="${session.value.template}" rows=6 oninput=${updateSession}/>
-              </div>
-            </div>
-            <div>
-              <div class="input-container">
-                <label for="template" class="input-label-sec" id="id_history-template">Chat History</label>
-                <textarea id="history-template" class="persistent-input-sec" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-              </div>
-            </div>
-          </div>
-        </details>
-        <details>
-          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
-          ${GrammarControl()}
-        </details>
-
-        </fieldset>
-    `
-  );
-
-  const CompletionConfigForm = () => (
-    html`
-      ${PromptControlFieldSet()}
-      <fieldset>
-        <details>
-          <summary><span class="summary-title" id="id_grammar-title" id_grammar-title>Grammar</span></summary>
-          ${GrammarControl()}
-        </details>
-      </fieldset>
-    `
-  );
-// todo toggle button et api field et reset button in one nice row
-  return html`
-    <form>
-      <fieldset class="two">
-          <input type="checkbox" id="toggle" class="toggleCheckbox" onchange=${handleToggleChange} />
-            <label for="toggle" class="toggleContainer">
-              <div id="id_toggle-label-chat">Chat</div>
-              <div id="id_toggle-label-complete">Complete</div>
-            </label>
-      <fieldset>
-
-          <input type="text" id="api_key" class="apiKey" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-      </fieldset>
-
-        <${UserTemplateResetButton}/>
-      </fieldset>
-
-      ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-      <fieldset class="params">
-        ${IntField({ label: "Prediction", title: "Set the maximum number of tokens to predict when generating text. Note: May exceed the set limit slightly if the last token is a partial multibyte character. When 0, no tokens will be generated but the prompt is evaluated into the cache. The value -1 means infinity. Default is 358", max: 2048, min: -1, step: 16, name: "n_predict", value: params.value.n_predict, })}
-        ${FloatField({ label: "Min-P sampling", title: "The minimum probability for a token to be considered, relative to the probability of the most likely token. Note that it's good practice to disable all other samplers aside from temperature when using min-p. It is also recommenend to go this approach. Default is 0.05 – But consider higher values like ~ 0.4 for non-English text generation. The value 1.0 means disabled", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-        ${FloatField({ label: "Repetition Penalty", title: "Control the repetition of token sequences in the generated text. Default is 1.1", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-        ${FloatField({ label: "Temperature", title: "This will adjust the overall randomness of the generated text. It is the most common sampler. Default is 0.8 but consider using lower values for more factual texts or for non-English text generation", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-      </fieldset>
-
-      <details>
-        <summary><span class="summary-title">Further Options</span></summary>
-        <fieldset class="params">
-          ${IntField({ label: "Top-K", title: "Limits the selection of the next token to the K most probable tokens. 1 means no randomness = greedy sampling. If set to 0, it means the entire vocabulary size is considered.", max: 100, min: 0, step: 1, name: "top_k", value: params.value.top_k })}
-          ${IntField({ label: "Penalize Last N", title: "The last n tokens that are taken into account to penalise repetitions. A value of 0 means that this function is deactivated and -1 means that the entire size of the context is taken into account.", max: 2048, min: 0, step: 16, name: "repeat_last_n", value: params.value.repeat_last_n })}
-          ${FloatField({ label: "Presence Penalty", title: "A penalty that is applied if certain tokens appear repeatedly in the generated text. A higher value leads to fewer repetitions.", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-          ${FloatField({ label: "Frequency Penalty", title: "A penalty that is applied based on the frequency with which certain tokens occur in the training data set. A higher value results in rare tokens being favoured.", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-          ${FloatField({ label: "Top-P", title: "Limits the selection of the next token to a subset of tokens whose combined probability reaches a threshold value P = top-P. If set to 1, it means the entire vocabulary size is considered.", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-          ${FloatField({ label: "Typical-P", title: "Activates local typical sampling, a method used to limit the prediction of tokens that are atypical in the current context. The parameter p controls the strength of this limitation. A value of 1.0 means that this function is deactivated.", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-          ${FloatField({ label: "XTC probability", title: "Sets the chance for token removal (checked once on sampler start)", max: 1.0, min: 0.0, name: "xtc_probability", step: 0.01, value: params.value.xtc_probability })}
-          ${FloatField({ label: "XTC threshold", title: "Sets a minimum probability threshold for tokens to be removed", max: 0.5, min: 0.0, name: "xtc_threshold", step: 0.01, value: params.value.xtc_threshold })}
-          ${FloatField({ label: "DRY Penalty Multiplier", title: "Set the DRY repetition penalty multiplier. Default is 0.0, which disables DRY.", max: 5.0, min: 0.0, name: "dry_multiplier", step: 0.01, value: params.value.dry_multiplier })}
-          ${FloatField({ label: "DRY Base", title: "Set the DRY repetition penalty base value. Default is 1.75", max: 3.0, min: 1.0, name: "dry_base", step: 0.01, value: params.value.dry_base })}
-          ${IntField({ label: "DRY Allowed Length", title: "Tokens that extend repetition beyond this receive exponentially increasing penalty. Default is 2", max: 10, min: 1, step: 1, name: "dry_allowed_length", value: params.value.dry_allowed_length })}
-          ${IntField({ label: "DRY Penalty Last N", title: "How many tokens to scan for repetitions. Default is -1, where 0 is disabled and -1 is context size", max: 2048, min: -1, step: 16, name: "dry_penalty_last_n", value: params.value.dry_penalty_last_n })}
-          ${IntField({ label: "Min Keep", title: "If greater than 0, samplers are forced to return N possible tokens at minimum. Default is 0", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-        </fieldset>
-
-        <hr style="height: 1px; background-color: #ececf1; border: none;" />
-
-        <fieldset class="three">
-          <label title="The Mirostat sampling method is an algorithm used in natural language processing to improve the quality and coherence of the generated texts. It is an at-runtime-adaptive method that aims to keep the entropy or surprise of a text within a desired range."><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> Mirostat off</label>
-          <label title="Mirostat version 1 was developed to adjust the probability of predictions so that the surprise in the text remains constant. This means that the algorithm tries to maintain a balance between predictable and surprising words so that the text is neither too monotonous nor too chaotic. V1 is recommended for longer writings, creative texts, etc."><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-          <label title="Mirostat version 2 builds on the idea of V1 but brings some improvements. V2 is recommended as a general purpose algorithm since it offers more precise control over entropy and reacts more quickly to unwanted deviations. As a result, the generated texts appear even more consistent and coherent, especially for everday life conversations."><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-          </fieldset>
-        <fieldset class="params">
-          ${FloatField({ label: "Entropy tau", title: "Tau controls the desired level of entropy (or 'surprise') in the text. A low tau (e.g. 0.5) would mean that a text is very predictable, but will also be very coherent. A high tau (e.g. 8.0) would mean that the text is very creative and surprising, but may also be difficult to follow because unlikely words will occur frequently.", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-          ${FloatField({ label: "Learning-rate eta", title: "Eta determines how quickly the Mirostat algorithm adjusts its predictions to achieve the desired entropy. A learning rate that is too high can cause the algorithm to react too quickly and possibly become unstable, because the algorithm will try to maintain a balance between surprises and precision in the context of only a few words. In this way, 'the common thread' could be lost. Whereas a learning rate that is too low means that the algorithm reacts too slowly and a red thread becomes a heavy goods train that takes a long time to come to a halt and change a 'topic station'.", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-        </fieldset>
-
-          <hr style="height: 1px; background-color: #ececf1; border: none;" />
-
-          <fieldset class="params">
-            ${IntField({ label: "Show Probabilities", title: "If greater than 0, the response also contains the probabilities of top N tokens for each generated token given the sampling settings. The tokens will be colored in gradient from green to red depending on their probabilities. Note that for temperature 0 the tokens are sampled greedily but token probabilities are still being calculated via a simple softmax of the logits without considering any other sampler settings. Defaults to 0", max: 10, min: 0, step: 1, name: "n_probs", value: params.value.n_probs })}
-          </fieldset>
-      </details>
-    </form>
-  `
-}
-
-    // todo - beautify apikey section with css
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
-        .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-      <span class=generation-statistics>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover} contenteditable="true">${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <h2>llama.cpp</h2>
-            <div class="dropdown">
-              <button class="dropbtn"><svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" stroke-width="2"/></svg></button>
-              <div class="dropdown-content" id="theme-selector">
-                <a href="/">Old UI</a>
-                <a href="#" data-theme="default">Snow Storm</a>
-                <a href="#" data-theme="polarnight">Polar Night</a>
-                <a href="#" data-theme="ketivah">Ketivah</a>
-                <a href="#" data-theme="mangotango">Mango Tango</a>
-                <a href="#" data-theme="playground">Playground</a>
-                <a href="#" data-theme="beeninorder">Been In Order</a>
-              </div>
-            </div>
-          </header>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered By <a href="https://github.com/ggml-org/llama.cpp#readme" target="_blank">llama.cpp</a> and <a href="https://ggml.ai/" target="_blank">ggml.ai</a></p>
-          </footer>
-        </div>
-      `;
-    }
-
-  document.addEventListener('DOMContentLoaded', function() {
-  var themeSelector = document.getElementById('theme-selector');
-  var themeLinks = themeSelector.querySelectorAll('a[data-theme]');
-
-  themeLinks.forEach(function(link) {
-    link.addEventListener('click', function(event) {
-      event.preventDefault(); // avoid default behaviour
-      var selectedTheme = event.target.getAttribute('data-theme');
-      changeTheme(selectedTheme);
-    });
-  });
-
-  function changeTheme(theme) {
-    document.body.classList.remove('theme-default', 'theme-polarnight', 'theme-ketivah', 'theme-mangotango', 'theme-playground', 'theme-beeninorder');
-    if (theme !== 'default') {
-      document.body.classList.add('theme-' + theme);
-    }
-    localStorage.setItem('selected-theme', theme);
-  }
-
-  // set the selected theme when loading the page
-  var savedTheme = localStorage.getItem('selected-theme');
-  if (savedTheme && savedTheme !== 'default') {
-    document.body.classList.add('theme-' + savedTheme);
-    // update the dropdown if it still exists
-    var dropdown = document.getElementById('theme-selector-dropdown');
-    if (dropdown) {
-      dropdown.value = savedTheme;
-    }
-  }
-});
-
-
-// snapping of the slider to indicate 'disabled'
-document.addEventListener('DOMContentLoaded', (event) => {
-  // define an object that contains snap values and ranges for each slider
-  const snapSettings = {
-    temperature: { snapValue: 1.0, snapRangeMultiplier: 6 },
-    min_p: { snapValue: 0.05, snapRangeMultiplier: 2 },
-    xtc_probability: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    xtc_threshold: { snapValue: 0.5, snapRangeMultiplier: 4 },
-    top_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    typical_p: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    repeat_penalty: { snapValue: 1.0, snapRangeMultiplier: 4 },
-    presence_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    frequency_penalty: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    dry_multiplier: { snapValue: 0.0, snapRangeMultiplier: 4 },
-    dry_base: { snapValue: 1.75, snapRangeMultiplier: 4 },
-  };
-  // add an event listener for each slider
-  Object.keys(snapSettings).forEach(sliderName => {
-    const slider = document.querySelector(`input[name="${sliderName}"]`);
-    const settings = snapSettings[sliderName];
-
-    slider.addEventListener('input', (e) => {
-      let value = parseFloat(e.target.value);
-      const step = parseFloat(e.target.step);
-      const snapRange = step * settings.snapRangeMultiplier;
-      const valueDisplay = document.getElementById(`${e.target.name}-value`);
-
-      if (value >= settings.snapValue - snapRange && value <= settings.snapValue + snapRange) {
-        value = settings.snapValue; // set value to the snap value
-        e.target.value = value; // update the slider value
-      }
-      // update the displayed value
-      if (valueDisplay) {
-        valueDisplay.textContent = value.toFixed(2); // display value with two decimal places
-      }
-    });
-  });
-});
-
-    render(h(App), document.querySelector('#container'));
-
-  </script>
-</head>
-
-<body>
-
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/public_legacy/index.html b/tools/server/public_legacy/index.html
deleted file mode 100644
index 98d56ea8b..000000000
--- a/tools/server/public_legacy/index.html
+++ /dev/null
@@ -1,1301 +0,0 @@
-<html>
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-    }
-
-    .grid-container {
-      display: grid;
-      grid-template-columns: auto auto auto;
-      padding: 10px;
-    }
-
-    .grid-item {
-      padding: 5px;
-      /* font-size: 30px; */
-      text-align: center;
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-    }
-
-    h1 {
-      text-align: center;
-    }
-
-    .customlink:link {
-      color: white;
-      background-color: #007aff;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      border-radius: 4px;
-      padding: 8px;
-    }
-
-    .customlink:visited {
-      color: white;
-      background-color: #007aff;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    .customlink:hover {
-      color: white;
-      background-color: #0070ee;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    .customlink:active {
-      color: #0070ee;
-      background-color: #80b3ef;
-      font-weight: 600;
-      text-decoration: none;
-      float: right;
-      margin-top: 30px;
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-      padding: 8px;
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .message-controls {
-      display: flex;
-      justify-content: flex-end;
-    }
-    .message-controls > div:nth-child(2) {
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-    }
-    .message-controls > div:nth-child(2) > div {
-      display: flex;
-      margin-left: auto;
-      gap: 0.5em;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      dry_multiplier: 0.0, // 0.0 = disabled, 0.8 works well
-      dry_base: 1.75,     // 0.0 = disabled
-      dry_allowed_length: 2, // tokens extending repetitions beyond this receive penalty, 2 works well
-      dry_penalty_last_n: -1, // how many tokens to scan for repetitions (0 = disable penalty, -1 = context size)
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      xtc_probability: 0.0, // 0 = disabled;
-      xtc_threshold: 0.1, // > 0.5 disables XTC;
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const tts = window.speechSynthesis;
-    const ttsVoice = signal(null)
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: new URL('.', document.baseURI).href })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
-    const talkRecognition = SpeechRecognition ? new SpeechRecognition() : null;
-    function MessageInput() {
-      const message = useSignal("");
-
-      const talkActive = useSignal(false);
-      const sendOnTalk = useSignal(false);
-      const talkStop = (e) => {
-        if (e) e.preventDefault();
-
-        talkActive.value = false;
-        talkRecognition?.stop();
-      }
-      const talk = (e) => {
-        e.preventDefault();
-
-        if (talkRecognition)
-          talkRecognition.start();
-        else
-          alert("Speech recognition is not supported by this browser.");
-      }
-      if(talkRecognition) {
-        talkRecognition.onstart = () => {
-          talkActive.value = true;
-        }
-        talkRecognition.onresult = (e) => {
-          if (event.results.length > 0) {
-            message.value = event.results[0][0].transcript;
-            if (sendOnTalk.value) {
-              submit(e);
-            }
-          }
-        }
-        talkRecognition.onspeechend = () => {
-          talkStop();
-        }
-      }
-
-      const ttsVoices = useSignal(tts?.getVoices() || []);
-      const ttsVoiceDefault = computed(() => ttsVoices.value.find(v => v.default));
-      if (tts) {
-        tts.onvoiceschanged = () => {
-          ttsVoices.value = tts.getVoices();
-        }
-      }
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="message-controls">
-            <div> </div>
-            <div>
-              <div>
-                <button type="submit" disabled=${generating.value || talkActive.value}>Send</button>
-                <button disabled=${generating.value || talkActive.value} onclick=${uploadImage}>Upload Image</button>
-                <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-                <button onclick=${reset}>Reset</button>
-              </div>
-              <div>
-                <a href="#" style="cursor: help;" title="Help" onclick=${e => {
-                  e.preventDefault();
-                  alert(`STT supported by your browser: ${SpeechRecognition ? 'Yes' : 'No'}\n` +
-                  `(TTS and speech recognition are not provided by llama.cpp)\n` +
-                  `Note: STT requires HTTPS to work.`);
-                }}>[?]</a>
-                <button disabled=${generating.value} onclick=${talkActive.value ? talkStop : talk}>${talkActive.value ? "Stop Talking" : "Talk"}</button>
-                <div>
-                  <input type="checkbox" id="send-on-talk" name="send-on-talk" checked="${sendOnTalk}" onchange=${(e) => sendOnTalk.value = e.target.checked} />
-                  <label for="send-on-talk" style="line-height: initial;">Send after talking</label>
-                </div>
-              </div>
-              <div>
-                <a href="#" style="cursor: help;" title="Help" onclick=${e => {
-                  e.preventDefault();
-                  alert(`TTS supported by your browser: ${tts ? 'Yes' : 'No'}\n(TTS and speech recognition are not provided by llama.cpp)`);
-                }}>[?]</a>
-                <label for="tts-voices" style="line-height: initial;">Bot Voice:</label>
-                <select id="tts-voices" name="tts-voices" onchange=${(e) => ttsVoice.value = e.target.value} style="max-width: 100px;">
-                  <option value="" selected="${!ttsVoice.value}">None</option>
-                  ${[
-                    ...(ttsVoiceDefault.value ? [ttsVoiceDefault.value] : []),
-                    ...ttsVoices.value.filter(v => !v.default),
-                  ].map(
-                    v => html`<option value="${v.name}" selected="${ttsVoice.value === v.name}">${v.name} (${v.lang}) ${v.default ? '(default)' : ''}</option>`
-                  )}
-                </select>
-              </div>
-            </div>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const ttsChatLineActiveIx = useSignal(undefined);
-      const ttsChatLine = (e, ix, msg) => {
-        if (e) e.preventDefault();
-
-        if (!tts || !ttsVoice.value || !('SpeechSynthesisUtterance' in window)) return;
-
-        const ttsVoices = tts.getVoices();
-        const voice = ttsVoices.find(v => v.name === ttsVoice.value);
-        if (!voice) return;
-
-        if (ttsChatLineActiveIx.value !== undefined) {
-          tts.cancel();
-          if (ttsChatLineActiveIx.value === ix) {
-            ttsChatLineActiveIx.value = undefined;
-            return;
-          }
-        }
-
-        ttsChatLineActiveIx.value = ix;
-        let ttsUtter = new SpeechSynthesisUtterance(msg);
-        ttsUtter.voice = voice;
-        ttsUtter.onend = e => {
-          ttsChatLineActiveIx.value = undefined;
-        };
-        tts.speak(ttsUtter);
-      }
-
-      const isCompletionMode = session.value.type === 'completion'
-
-      // Try play the last bot message
-      const lastCharChatLinesIxs = useSignal([]);
-      const lastCharChatLinesIxsOld = useSignal([]);
-      useEffect(() => {
-        if (
-          !isCompletionMode
-          && lastCharChatLinesIxs.value.length !== lastCharChatLinesIxsOld.value.length
-          && !generating.value
-        ) {
-          const ix = lastCharChatLinesIxs.value[lastCharChatLinesIxs.value.length - 1];
-          if (ix !== undefined) {
-            const msg = messages[ix];
-            ttsChatLine(null, ix, Array.isArray(msg) ? msg[1].map(m => m.content).join('') : msg);
-          }
-
-          lastCharChatLinesIxsOld.value = structuredClone(lastCharChatLinesIxs.value);
-        }
-      }, [generating.value]);
-
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data);
-        const text = isArrayMessage ?
-            data.map(msg => msg.content).join('') :
-            data;
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-
-        const fromBot = user && user === '{{char}}';
-        if (fromBot && !lastCharChatLinesIxs.value.includes(index))
-          lastCharChatLinesIxs.value.push(index);
-
-        if (user) {
-          return html`
-          <div>
-            <p key=${index}><strong>${template(user)}:</strong> ${message}</p>
-            ${
-              fromBot && ttsVoice.value
-              && html`<button disabled=${generating.value} onclick=${e => ttsChatLine(e, index, text)} aria-label=${ttsChatLineActiveIx.value === index ? 'Pause' : 'Play'}>${ ttsChatLineActiveIx.value === index ? '⏸️' : '▶️' }</div>`
-            }
-          </div>
-          `;
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<div><p key=${index}>${message}</p></div>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-              ${FloatField({ label: "DRY Penalty Multiplier", max: 5.0, min: 0.0, name: "dry_multiplier", step: 0.01, value: params.value.dry_multiplier })}
-              ${FloatField({ label: "DRY Base", max: 3.0, min: 1.0, name: "dry_base", step: 0.01, value: params.value.dry_base })}
-              ${IntField({ label: "DRY Allowed Length", max: 10, min: 2, step: 1, name: "dry_allowed_length", value: params.value.dry_allowed_length })}
-              ${IntField({ label: "DRY Penalty Last N", max: 2048, min: -1, step: 16, name: "dry_penalty_last_n", value: params.value.dry_penalty_last_n })}
-              ${FloatField({ label: "XTC probability", max: 1.0, min: 0.0, name: "xtc_probability", step: 0.01, value: params.value.xtc_probability })}
-              ${FloatField({ label: "XTC threshold", max: 0.5, min: 0.0, name: "xtc_threshold", step: 0.01, value: params.value.xtc_threshold })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const chunks = params.text.split('```');
-
-      for (let i = 0; i < chunks.length; i++) {
-        if (i % 2 === 0) { // outside code block
-          chunks[i] = chunks[i]
-          .replace(/&/g, '&amp;')
-          .replace(/</g, '&lt;')
-          .replace(/>/g, '&gt;')
-          .replace(/(^|\n)#{1,6} ([^\n]*)(?=([^`]*`[^`]*`)*[^`]*$)/g, '$1<h3>$2</h3>')
-          .replace(/\*\*(.*?)\*\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-          .replace(/__(.*?)__(?=([^`]*`[^`]*`)*[^`]*$)/g, '<strong>$1</strong>')
-          .replace(/\*(.*?)\*(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-          .replace(/_(.*?)_(?=([^`]*`[^`]*`)*[^`]*$)/g, '<em>$1</em>')
-          .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-          .replace(/`(.*?)`/g, '<code>$1</code>')
-          .replace(/\n/gim, '<br />');
-        } else { // inside code block
-          chunks[i] = `<pre><code>${chunks[i]}</code></pre>`;
-        }
-      }
-
-      const restoredText = chunks.join('');
-
-      return html`<span dangerouslySetInnerHTML=${{ __html: restoredText }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <div class="grid-container">
-              <div class="grid-item"></div>
-              <div class="grid-item"><h1>llama.cpp</h1></div>
-              <div class="grid-item"><a class="customlink" href="index-new.html">New UI</a></div>
-            </div>
-          </header>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
-        </div>
-      `;
-    }
-
-    render(h(App), document.querySelector('#container'));
-  </script>
-</head>
-
-<body>
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/public_legacy/index.js b/tools/server/public_legacy/index.js
deleted file mode 100644
index 32ec6e9e1..000000000
--- a/tools/server/public_legacy/index.js
+++ /dev/null
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n||(n=new Map,en.set(this,n)),(n=nn(this,n.get(t)||(n.set(t,n=function(t){for(var n,e,_=1,i="",o="",r=[0],u=function(t){1===_&&(t||(i=i.replace(/^\s*\n\s*|\s*\n\s*$/g,"")))?r.push(0,t,i):3===_&&(t||i)?(r.push(3,t,i),_=2):2===_&&"..."===i&&t?r.push(4,t,0):2===_&&i&&!t?r.push(5,0,!0,i):_>=5&&((i||!t&&5===_)&&(r.push(_,0,i,e),_=6),t&&(r.push(_,t,0,e),_=6)),i=""},l=0;l<t.length;l++){l&&(1===_&&u(),u(l));for(var s=0;s<t[l].length;s++)n=t[l][s],1===_?"<"===n?(u(),r=[r],_=3):i+=n:4===_?"--"===i&&">"===n?(_=1,i=""):i=n+i[0]:o?n===o?o="":i+=n:'"'===n||"'"===n?o=n:">"===n?(u(),_=1):_&&("="===n?(_=5,e=i,i=""):"/"===n&&(_<5||">"===t[l][s+1])?(u(),3===_&&(r=r[0]),_=r,(r=r[0]).push(2,0,_),_=0):" "===n||"\t"===n||"\n"===n||"\r"===n?(u(),_=2):i+=n),3===_&&"!--"===i&&(_=4,r=r[0])}return u(),r}(t)),n),arguments,[])).length>1?n:n[0]}var on=_n.bind(R);export{q as Component,j as Fragment,f as Signal,e as batch,ct as cloneElement,v as computed,ht as createContext,R as createElement,V as createRef,k as 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diff --git a/tools/server/public_legacy/json-schema-to-grammar.mjs b/tools/server/public_legacy/json-schema-to-grammar.mjs
deleted file mode 100644
index bb25887a1..000000000
--- a/tools/server/public_legacy/json-schema-to-grammar.mjs
+++ /dev/null
@@ -1,860 +0,0 @@
-// WARNING: This file was ported from json_schema_to_grammar.py, please fix bugs / add features there first.
-const SPACE_RULE = '| " " | "\\n"{1,2} [ \\t]{0,20}';
-
-function _buildRepetition(itemRule, minItems, maxItems, opts={}) {
-  if (maxItems == 0) {
-    return '';
-  }
-  if (minItems === 0 && maxItems === 1) {
-    return `${itemRule}?`;
-  }
-
-
-  const separatorRule = opts.separatorRule ?? '';
-  const itemRuleIsLiteral = opts.itemRuleIsLiteral ?? false
-
-  if (separatorRule === '') {
-    if (minItems === 1 && maxItems === undefined) {
-      return `${itemRule}+`;
-    } else if (minItems === 0 && maxItems === undefined) {
-      return `${itemRule}*`;
-    } else {
-      return `${itemRule}{${minItems},${maxItems !== undefined ? maxItems : ''}}`;
-    }
-  }
-
-  const result = itemRule + ' ' + _buildRepetition(`(${separatorRule} ${itemRule})`, minItems > 0 ? minItems - 1 : 0, maxItems !== undefined ? maxItems - 1 : undefined);
-  return minItems === 0 ? `(${result})?` : result;
-}
-
-function _generateMinMaxInt(minValue, maxValue, out, decimalsLeft = 16, topLevel = true) {
-  const hasMin = minValue !== null;
-  const hasMax = maxValue !== null;
-
-  function digitRange(fromChar, toChar) {
-      out.push("[");
-      if (fromChar === toChar) {
-          out.push(fromChar);
-      } else {
-          out.push(fromChar);
-          out.push("-");
-          out.push(toChar);
-      }
-      out.push("]");
-  }
-
-  function moreDigits(minDigits, maxDigits) {
-      out.push("[0-9]");
-      if (minDigits === maxDigits && minDigits === 1) {
-          return;
-      }
-      out.push("{");
-      out.push(minDigits.toString());
-      if (maxDigits !== minDigits) {
-          out.push(",");
-          if (maxDigits !== Number.MAX_SAFE_INTEGER) {
-              out.push(maxDigits.toString());
-          }
-      }
-      out.push("}");
-  }
-
-  function uniformRange(fromStr, toStr) {
-      let i = 0;
-      while (i < fromStr.length && fromStr[i] === toStr[i]) {
-          i++;
-      }
-      if (i > 0) {
-          out.push("\"");
-          out.push(fromStr.slice(0, i));
-          out.push("\"");
-      }
-      if (i < fromStr.length) {
-          if (i > 0) {
-              out.push(" ");
-          }
-          const subLen = fromStr.length - i - 1;
-          if (subLen > 0) {
-              const fromSub = fromStr.slice(i + 1);
-              const toSub = toStr.slice(i + 1);
-              const subZeros = "0".repeat(subLen);
-              const subNines = "9".repeat(subLen);
-
-              let toReached = false;
-              out.push("(");
-              if (fromSub === subZeros) {
-                  digitRange(fromStr[i], String.fromCharCode(toStr.charCodeAt(i) - 1));
-                  out.push(" ");
-                  moreDigits(subLen, subLen);
-              } else {
-                  out.push("[");
-                  out.push(fromStr[i]);
-                  out.push("] ");
-                  out.push("(");
-                  uniformRange(fromSub, subNines);
-                  out.push(")");
-                  if (fromStr.charCodeAt(i) < toStr.charCodeAt(i) - 1) {
-                      out.push(" | ");
-                      if (toSub === subNines) {
-                          digitRange(String.fromCharCode(fromStr.charCodeAt(i) + 1), toStr[i]);
-                          toReached = true;
-                      } else {
-                          digitRange(String.fromCharCode(fromStr.charCodeAt(i) + 1), String.fromCharCode(toStr.charCodeAt(i) - 1));
-                      }
-                      out.push(" ");
-                      moreDigits(subLen, subLen);
-                  }
-              }
-              if (!toReached) {
-                  out.push(" | ");
-                  digitRange(toStr[i], toStr[i]);
-                  out.push(" ");
-                  uniformRange(subZeros, toSub);
-              }
-              out.push(")");
-          } else {
-              out.push("[");
-              out.push(fromStr[i]);
-              out.push("-");
-              out.push(toStr[i]);
-              out.push("]");
-          }
-      }
-  }
-
-  if (hasMin && hasMax) {
-      if (minValue < 0 && maxValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(-maxValue, -minValue, out, decimalsLeft, true);
-          out.push(")");
-          return;
-      }
-
-      if (minValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(0, -minValue, out, decimalsLeft, true);
-          out.push(") | ");
-          minValue = 0;
-      }
-
-      let minS = minValue.toString();
-      const maxS = maxValue.toString();
-      const minDigits = minS.length;
-      const maxDigits = maxS.length;
-
-      for (let digits = minDigits; digits < maxDigits; digits++) {
-          uniformRange(minS, "9".repeat(digits));
-          minS = "1" + "0".repeat(digits);
-          out.push(" | ");
-      }
-      uniformRange(minS, maxS);
-      return;
-  }
-
-  const lessDecimals = Math.max(decimalsLeft - 1, 1);
-
-  if (hasMin) {
-      if (minValue < 0) {
-          out.push("\"-\" (");
-          _generateMinMaxInt(null, -minValue, out, decimalsLeft, false);
-          out.push(") | [0] | [1-9] ");
-          moreDigits(0, decimalsLeft - 1);
-      } else if (minValue === 0) {
-          if (topLevel) {
-              out.push("[0] | [1-9] ");
-              moreDigits(0, lessDecimals);
-          } else {
-              moreDigits(1, decimalsLeft);
-          }
-      } else if (minValue <= 9) {
-          const c = minValue.toString();
-          const range_start = topLevel ? '1' : '0';
-          if (c > range_start) {
-              digitRange(range_start, String.fromCharCode(c.charCodeAt(0) - 1));
-              out.push(" ");
-              moreDigits(1, lessDecimals);
-              out.push(" | ");
-          }
-          digitRange(c, "9");
-          out.push(" ");
-          moreDigits(0, lessDecimals);
-      } else {
-          const minS = minValue.toString();
-          const length = minS.length;
-          const c = minS[0];
-
-          if (c > "1") {
-              digitRange(topLevel ? "1" : "0", String.fromCharCode(c.charCodeAt(0) - 1));
-              out.push(" ");
-              moreDigits(length, lessDecimals);
-              out.push(" | ");
-          }
-          digitRange(c, c);
-          out.push(" (");
-          _generateMinMaxInt(parseInt(minS.slice(1)), null, out, lessDecimals, false);
-          out.push(")");
-          if (c < "9") {
-              out.push(" | ");
-              digitRange(String.fromCharCode(c.charCodeAt(0) + 1), "9");
-              out.push(" ");
-              moreDigits(length - 1, lessDecimals);
-          }
-      }
-      return;
-  }
-
-  if (hasMax) {
-      if (maxValue >= 0) {
-          if (topLevel) {
-              out.push("\"-\" [1-9] ");
-              moreDigits(0, lessDecimals);
-              out.push(" | ");
-          }
-          _generateMinMaxInt(0, maxValue, out, decimalsLeft, true);
-      } else {
-          out.push("\"-\" (");
-          _generateMinMaxInt(-maxValue, null, out, decimalsLeft, false);
-          out.push(")");
-      }
-      return;
-  }
-
-  throw new Error("At least one of minValue or maxValue must be set");
-}
-
-class BuiltinRule {
-  constructor(content, deps) {
-    this.content = content;
-    this.deps = deps || [];
-  }
-}
-
-const PRIMITIVE_RULES = {
-  boolean        : new BuiltinRule('("true" | "false") space', []),
-  'decimal-part' : new BuiltinRule('[0-9]{1,16}', []),
-  'integral-part': new BuiltinRule('[0] | [1-9] [0-9]{0,15}', []),
-  number         : new BuiltinRule('("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space', ['integral-part', 'decimal-part']),
-  integer        : new BuiltinRule('("-"? integral-part) space', ['integral-part']),
-  value          : new BuiltinRule('object | array | string | number | boolean | null', ['object', 'array', 'string', 'number', 'boolean', 'null']),
-  object         : new BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
-  array          : new BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
-  uuid           : new BuiltinRule('"\\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\\"" space', []),
-  char           : new BuiltinRule(`[^"\\\\\\x7F\\x00-\\x1F] | [\\\\] (["\\\\bfnrt] | "u" [0-9a-fA-F]{4})`, []),
-  string         : new BuiltinRule(`"\\"" char* "\\"" space`, ['char']),
-  null           : new BuiltinRule('"null" space', []),
-};
-
-// TODO: support "uri", "email" string formats
-const STRING_FORMAT_RULES = {
-  'date'            : new BuiltinRule('[0-9]{4} "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
-  'time'            : new BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
-  'date-time'       : new BuiltinRule('date "T" time', ['date', 'time']),
-  'date-string'     : new BuiltinRule('"\\"" date "\\"" space', ['date']),
-  'time-string'     : new BuiltinRule('"\\"" time "\\"" space', ['time']),
-  'date-time-string': new BuiltinRule('"\\"" date-time "\\"" space', ['date-time']),
-}
-
-const RESERVED_NAMES = {'root': true, ...PRIMITIVE_RULES, ...STRING_FORMAT_RULES};
-
-const INVALID_RULE_CHARS_RE = /[^\dA-Za-z-]+/g;
-const GRAMMAR_LITERAL_ESCAPE_RE = /[\n\r"\\]/g;
-const GRAMMAR_RANGE_LITERAL_ESCAPE_RE = /[\n\r"\]\-\\]/g;
-const GRAMMAR_LITERAL_ESCAPES = { '\r': '\\r', '\n': '\\n', '"': '\\"', '-': '\\-', ']': '\\]', '\\': '\\\\' };
-
-const NON_LITERAL_SET = new Set('|.()[]{}*+?');
-const ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = new Set('^$.[]()|{}*+?');
-
-export class SchemaConverter {
-  constructor(options) {
-    this._propOrder = options.prop_order || {};
-    this._allowFetch = options.allow_fetch || false;
-    this._dotall = options.dotall || false;
-    this._rules = {'space': SPACE_RULE};
-    this._refs = {};
-    this._refsBeingResolved = new Set();
-  }
-
-  _formatLiteral(literal) {
-    const escaped = literal.replace(
-      GRAMMAR_LITERAL_ESCAPE_RE,
-      m => GRAMMAR_LITERAL_ESCAPES[m]
-    );
-    return `"${escaped}"`;
-  }
-
-  _formatRangeChar(literal) {
-    return JSON.stringify(literal).slice(1, -1).replace(
-      GRAMMAR_RANGE_LITERAL_ESCAPE_RE,
-      m => GRAMMAR_LITERAL_ESCAPES[m]
-    );
-  }
-
-  _addRule(name, rule) {
-    let escName = name.replace(INVALID_RULE_CHARS_RE, '-');
-    let key = escName;
-
-    if (escName in this._rules) {
-      if (this._rules[escName] === rule) {
-        return key;
-      }
-
-      let i = 0;
-      while ((`${escName}${i}` in this._rules) && (this._rules[`${escName}${i}`] !== rule)) {
-        i += 1;
-      }
-      key = `${escName}${i}`;
-    }
-
-    this._rules[key] = rule;
-    return key;
-  }
-
-  async resolveRefs(schema, url) {
-    const visit = async (n) => {
-      if (Array.isArray(n)) {
-        return Promise.all(n.map(visit));
-      } else if (typeof n === 'object' && n !== null) {
-        let ref = n.$ref;
-        let target;
-        if (ref !== undefined && !this._refs[ref]) {
-          if (ref.startsWith('https://')) {
-            if (!this._allowFetch) {
-              throw new Error('Fetching remote schemas is not allowed (use --allow-fetch for force)');
-            }
-            const fetch = (await import('node-fetch')).default;
-
-            const fragSplit = ref.split('#');
-            const baseUrl = fragSplit[0];
-
-            target = this._refs[baseUrl];
-            if (!target) {
-              target = await this.resolveRefs(await fetch(ref).then(res => res.json()), baseUrl);
-              this._refs[baseUrl] = target;
-            }
-
-            if (fragSplit.length === 1 || fragSplit[fragSplit.length - 1] === '') {
-              return target;
-            }
-          } else if (ref.startsWith('#/')) {
-            target = schema;
-            ref = `${url}${ref}`;
-            n.$ref = ref;
-          } else {
-            throw new Error(`Unsupported ref ${ref}`);
-          }
-
-          const selectors = ref.split('#')[1].split('/').slice(1);
-          for (const sel of selectors) {
-            const selIndex = parseInt(sel, 10);
-            if (target && sel in target) {
-              target = target[sel];
-            } else if (target && selIndex in target) {
-              target = target[selIndex];
-            } else {
-              throw new Error(`Error resolving ref ${ref}: ${sel} not in ${JSON.stringify(target)}`);
-            }
-          }
-
-          this._refs[ref] = target;
-        } else {
-          await Promise.all(Object.values(n).map(visit));
-        }
-      }
-
-      return n;
-    };
-
-    return visit(schema);
-  }
-
-  _generateUnionRule(name, altSchemas) {
-    return altSchemas
-      .map((altSchema, i) => this.visit(altSchema, `${name ?? ''}${name ? '-' : 'alternative-'}${i}`))
-      .join(' | ');
-  }
-
-  _visitPattern(pattern, name) {
-    if (!pattern.startsWith('^') || !pattern.endsWith('$')) {
-      throw new Error('Pattern must start with "^" and end with "$"');
-    }
-    pattern = pattern.slice(1, -1);
-    const subRuleIds = {};
-
-    let i = 0;
-    const length = pattern.length;
-
-    const getDot = () => {
-      let rule;
-      if (this._dotall) {
-        rule = '[\\U00000000-\\U0010FFFF]';
-      } else {
-        // Accept any character... except \n and \r line break chars (\x0A and \xOD)
-        rule = '[^\\x0A\\x0D]';
-      }
-      return this._addRule('dot', rule);
-    };
-
-
-    const toRule = ([s, isLiteral]) => isLiteral ? "\"" + s + "\"" : s;
-
-    const transform = () => {
-      const start = i;
-      // For each component of this sequence, store its string representation and whether it's a literal.
-      // We only need a flat structure here to apply repetition operators to the last item, and
-      // to merge literals at the and (we're parsing grouped ( sequences ) recursively and don't treat '|' specially
-      // (GBNF's syntax is luckily very close to regular expressions!)
-      const seq = [];
-
-      const joinSeq = () => {
-        const ret = [];
-        for (const [isLiteral, g] of groupBy(seq, x => x[1])) {
-          if (isLiteral) {
-            ret.push([[...g].map(x => x[0]).join(''), true]);
-          } else {
-            ret.push(...g);
-          }
-        }
-        if (ret.length === 1) {
-          return ret[0];
-        }
-        return [ret.map(x => toRule(x)).join(' '), false];
-      };
-
-      while (i < length) {
-        const c = pattern[i];
-        if (c === '.') {
-          seq.push([getDot(), false]);
-          i += 1;
-        } else if (c === '(') {
-          i += 1;
-          if (i < length) {
-            if (pattern[i] === '?') {
-              throw new Error(`Unsupported pattern syntax "${pattern[i]}" at index ${i} of /${pattern}/`);
-            }
-          }
-          seq.push([`(${toRule(transform())})`, false]);
-        } else if (c === ')') {
-          i += 1;
-          if (start <= 0 || pattern[start - 1] !== '(') {
-            throw new Error(`Unbalanced parentheses; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          return joinSeq();
-        } else if (c === '[') {
-          let squareBrackets = c;
-          i += 1;
-          while (i < length && pattern[i] !== ']') {
-            if (pattern[i] === '\\') {
-              squareBrackets += pattern.slice(i, i + 2);
-              i += 2;
-            } else {
-              squareBrackets += pattern[i];
-              i += 1;
-            }
-          }
-          if (i >= length) {
-            throw new Error(`Unbalanced square brackets; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          squareBrackets += ']';
-          i += 1;
-          seq.push([squareBrackets, false]);
-        } else if (c === '|') {
-          seq.push(['|', false]);
-          i += 1;
-        } else if (c === '*' || c === '+' || c === '?') {
-          seq[seq.length - 1] = [toRule(seq[seq.length - 1]) + c, false];
-          i += 1;
-        } else if (c === '{') {
-          let curlyBrackets = c;
-          i += 1;
-          while (i < length && pattern[i] !== '}') {
-            curlyBrackets += pattern[i];
-            i += 1;
-          }
-          if (i >= length) {
-            throw new Error(`Unbalanced curly brackets; start = ${start}, i = ${i}, pattern = ${pattern}`);
-          }
-          curlyBrackets += '}';
-          i += 1;
-          const nums = curlyBrackets.slice(1, -1).split(',').map(s => s.trim());
-          let minTimes, maxTimes;
-          if (nums.length === 1) {
-            minTimes = parseInt(nums[0], 10);
-            maxTimes = minTimes;
-          } else {
-            if (nums.length !== 2) {
-              throw new Error(`Invalid quantifier ${curlyBrackets}`);
-            }
-            minTimes = nums[0] ? parseInt(nums[0], 10) : 0;
-            maxTimes = nums[1] ? parseInt(nums[1], 10) : Infinity;
-          }
-
-          let [sub, subIsLiteral] = seq[seq.length - 1];
-
-          if (!subIsLiteral) {
-            let id = subRuleIds[sub];
-            if (id === undefined) {
-              id = this._addRule(`${name}-${Object.keys(subRuleIds).length + 1}`, sub);
-              subRuleIds[sub] = id;
-            }
-            sub = id;
-          }
-
-          seq[seq.length - 1] = [
-            _buildRepetition(subIsLiteral ? `"${sub}"` : sub, minTimes, maxTimes, {itemRuleIsLiteral: subIsLiteral}),
-            false
-          ];
-        } else {
-          let literal = '';
-          while (i < length) {
-            if (pattern[i] === '\\' && i < length - 1) {
-              const next = pattern[i + 1];
-              if (ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS.has(next)) {
-                i += 1;
-                literal += pattern[i];
-                i += 1;
-              } else {
-                literal += pattern.slice(i, i + 2);
-                i += 2;
-              }
-            } else if (pattern[i] === '"') {
-              literal += '\\"';
-              i += 1;
-            } else if (!NON_LITERAL_SET.has(pattern[i]) &&
-                (i === length - 1 || literal === '' || pattern[i + 1] === '.' || !NON_LITERAL_SET.has(pattern[i+1]))) {
-              literal += pattern[i];
-              i += 1;
-            } else {
-              break;
-            }
-          }
-          if (literal !== '') {
-            seq.push([literal, true]);
-          }
-        }
-      }
-
-      return joinSeq();
-    };
-
-    return this._addRule(name, "\"\\\"\" (" + toRule(transform()) + ") \"\\\"\" space")
-  }
-
-  _notStrings(strings) {
-    class TrieNode {
-      constructor() {
-        this.children = {};
-        this.isEndOfString = false;
-      }
-
-      insert(str) {
-        let node = this;
-        for (const c of str) {
-          node = node.children[c] = node.children[c] || new TrieNode();
-        }
-        node.isEndOfString = true;
-      }
-    }
-
-    const trie = new TrieNode();
-    for (const s of strings) {
-      trie.insert(s);
-    }
-
-    const charRuleName = this._addPrimitive('char', PRIMITIVE_RULES['char']);
-    const out = ['["] ( '];
-
-    const visit = (node) => {
-      const rejects = [];
-      let first = true;
-      for (const c of Object.keys(node.children).sort()) {
-        const child = node.children[c];
-        rejects.push(c);
-        if (first) {
-          first = false;
-        } else {
-          out.push(' | ');
-        }
-        out.push(`[${c}]`);
-        if (Object.keys(child.children).length > 0) {
-          out.push(' (');
-          visit(child);
-          out.push(')');
-        } else if (child.isEndOfString) {
-          out.push(` ${charRuleName}+`);
-        }
-      }
-      if (Object.keys(node.children).length > 0) {
-        if (!first) {
-          out.push(' | ');
-        }
-        out.push(`[^"${rejects.join('')}] ${charRuleName}*`);
-      }
-    };
-
-    visit(trie);
-
-    out.push(` )${trie.isEndOfString ? '' : '?'} ["] space`);
-    return out.join('');
-  }
-
-  _resolveRef(ref) {
-    let refFragment = ref.split('#').pop();
-    let refName = 'ref' + refFragment.replace(/[^a-zA-Z0-9-]+/g, '-');
-    if (!(refName in this._rules) && !this._refsBeingResolved.has(ref)) {
-      this._refsBeingResolved.add(ref);
-      const resolved = this._refs[ref];
-      refName = this.visit(resolved, refName);
-      this._refsBeingResolved.delete(ref);
-    }
-    return refName;
-  }
-
-  _generateConstantRule(value) {
-    return this._formatLiteral(JSON.stringify(value));
-  }
-
-  visit(schema, name) {
-    const schemaType = schema.type;
-    const schemaFormat = schema.format;
-    const ruleName = name in RESERVED_NAMES ? name + '-' : name == '' ? 'root' : name;
-
-    const ref = schema.$ref;
-    if (ref !== undefined) {
-      return this._addRule(ruleName, this._resolveRef(ref));
-    } else if (schema.oneOf || schema.anyOf) {
-      return this._addRule(ruleName, this._generateUnionRule(name, schema.oneOf || schema.anyOf));
-    } else if (Array.isArray(schemaType)) {
-      return this._addRule(ruleName, this._generateUnionRule(name, schemaType.map(t => ({...schema, type: t}))));
-    } else if ('const' in schema) {
-      return this._addRule(ruleName, this._generateConstantRule(schema.const) + ' space');
-    } else if ('enum' in schema) {
-      const rule = '(' + schema.enum.map(v => this._generateConstantRule(v)).join(' | ') + ') space';
-      return this._addRule(ruleName, rule);
-    } else if ((schemaType === undefined || schemaType === 'object') &&
-               ('properties' in schema ||
-                ('additionalProperties' in schema && schema.additionalProperties !== true))) {
-      const required = new Set(schema.required || []);
-      const properties = Object.entries(schema.properties ?? {});
-      return this._addRule(ruleName, this._buildObjectRule(properties, required, name, schema.additionalProperties));
-    } else if ((schemaType === undefined || schemaType === 'object' || schemaType === 'string') && 'allOf' in schema) {
-      const required = new Set();
-      const properties = [];
-      const enumSets = [];
-      const addComponent = (compSchema, isRequired) => {
-        const ref = compSchema.$ref;
-        if (ref !== undefined) {
-          compSchema = this._refs[ref];
-        }
-
-        if ('properties' in compSchema) {
-          for (const [propName, propSchema] of Object.entries(compSchema.properties)) {
-            properties.push([propName, propSchema]);
-            if (isRequired) {
-              required.add(propName);
-            }
-          }
-        }
-
-        if ('enum' in compSchema) {
-          enumSets.push(new Set(compSchema.enum || []));
-        }
-      };
-
-      for (const t of schema.allOf) {
-        if ('anyOf' in t) {
-          for (const tt of t.anyOf) {
-            addComponent(tt, false);
-          }
-        } else {
-          addComponent(t, true);
-        }
-      }
-
-      if (enumSets.length > 0) {
-        const enumIntersection = new Set([...enumSets[0]].filter(v => enumSets.every(s => s.has(v))));
-        if (enumIntersection.size > 0) {
-          const sortedEnums = [...enumIntersection].sort((a, b) => a.localeCompare(b));
-          const rule = '(' + sortedEnums.map(v => this._generateConstantRule(v)).join(' | ') + ') space';
-          return this._addRule(ruleName, rule);
-        }
-      }
-      return this._addRule(ruleName, this._buildObjectRule(properties, required, name, null));
-    } else if ((schemaType === undefined || schemaType === 'array') && ('items' in schema || 'prefixItems' in schema)) {
-      const items = schema.items ?? schema.prefixItems;
-      if (Array.isArray(items)) {
-        return this._addRule(
-          ruleName,
-          '"[" space ' +
-            items.map((item, i) => this.visit(item, `${name ?? ''}${name ? '-' : ''}tuple-${i}`)).join(' "," space ') +
-            ' "]" space'
-        );
-      } else {
-        const itemRuleName = this.visit(items, `${name ?? ''}${name ? '-' : ''}item`);
-        const minItems = schema.minItems || 0;
-        const maxItems = schema.maxItems;
-        return this._addRule(ruleName, '"[" space ' + _buildRepetition(itemRuleName, minItems, maxItems, {separatorRule: '"," space'}) + ' "]" space');
-      }
-    } else if ((schemaType === undefined || schemaType === 'string') && 'pattern' in schema) {
-      return this._visitPattern(schema.pattern, ruleName);
-    } else if ((schemaType === undefined || schemaType === 'string') && /^uuid[1-5]?$/.test(schema.format || '')) {
-      return this._addPrimitive(
-        ruleName === 'root' ? 'root' : schemaFormat,
-        PRIMITIVE_RULES['uuid']
-      );
-    } else if ((schemaType === undefined || schemaType === 'string') && `${schema.format}-string` in STRING_FORMAT_RULES) {
-      const primName = `${schema.format}-string`
-      return this._addRule(ruleName, this._addPrimitive(primName, STRING_FORMAT_RULES[primName]));
-    } else if (schemaType === 'string' && ('minLength' in schema || 'maxLength' in schema)) {
-      const charRuleName = this._addPrimitive('char', PRIMITIVE_RULES['char']);
-      const minLen = schema.minLength || 0;
-      const maxLen = schema.maxLength;
-      return this._addRule(ruleName, '"\\\"" ' + _buildRepetition(charRuleName, minLen, maxLen) + ' "\\\"" space');
-    } else if (schemaType === 'integer' && ('minimum' in schema || 'exclusiveMinimum' in schema || 'maximum' in schema || 'exclusiveMaximum' in schema)) {
-      let minValue = null;
-      let maxValue = null;
-      if ('minimum' in schema) {
-        minValue = schema.minimum;
-      } else if ('exclusiveMinimum' in schema) {
-        minValue = schema.exclusiveMinimum + 1;
-      }
-      if ('maximum' in schema) {
-        maxValue = schema.maximum;
-      } else if ('exclusiveMaximum' in schema) {
-        maxValue = schema.exclusiveMaximum - 1;
-      }
-
-      const out = ["("];
-      _generateMinMaxInt(minValue, maxValue, out);
-      out.push(") space");
-      return this._addRule(ruleName, out.join(''));
-    } else if ((schemaType === 'object') || (Object.keys(schema).length === 0)) {
-      return this._addRule(ruleName, this._addPrimitive('object', PRIMITIVE_RULES['object']));
-    } else if (schemaType === undefined && typeof schema === 'object' && !Array.isArray(schema) && schema !== null) {
-      // No type constraint and no recognized structural keywords (e.g. {"description": "..."}).
-      // Per JSON Schema semantics this is equivalent to {} and accepts any value.
-      return this._addRule(ruleName, this._addPrimitive('value', PRIMITIVE_RULES['value']));
-    } else {
-      if (!(schemaType in PRIMITIVE_RULES)) {
-        throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`);
-      }
-      // TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
-      return this._addPrimitive(ruleName === 'root' ? 'root' : schemaType, PRIMITIVE_RULES[schemaType]);
-    }
-  }
-
-  _addPrimitive(name, rule) {
-    let n = this._addRule(name, rule.content);
-    for (const dep of rule.deps) {
-      const depRule = PRIMITIVE_RULES[dep] || STRING_FORMAT_RULES[dep];
-      if (!depRule) {
-        throw new Error(`Rule ${dep} not known`);
-      }
-      if (!(dep in this._rules)) {
-        this._addPrimitive(dep, depRule);
-      }
-    }
-    return n;
-  }
-
-  _buildObjectRule(properties, required, name, additionalProperties) {
-    const propOrder = this._propOrder;
-    // sort by position in prop_order (if specified) then by original order
-    const sortedProps = properties.map(([k]) => k).sort((a, b) => {
-      const orderA = propOrder[a] || Infinity;
-      const orderB = propOrder[b] || Infinity;
-      return orderA - orderB || properties.findIndex(([k]) => k === a) - properties.findIndex(([k]) => k === b);
-    });
-
-    const propKvRuleNames = {};
-    for (const [propName, propSchema] of properties) {
-      const propRuleName = this.visit(propSchema, `${name ?? ''}${name ? '-' : ''}${propName}`);
-      propKvRuleNames[propName] = this._addRule(
-        `${name ?? ''}${name ? '-' : ''}${propName}-kv`,
-        `${this._formatLiteral(JSON.stringify(propName))} space ":" space ${propRuleName}`
-      );
-    }
-    const requiredProps = sortedProps.filter(k => required.has(k));
-    const optionalProps = sortedProps.filter(k => !required.has(k));
-
-    if (additionalProperties) {
-      const subName = `${name ?? ''}${name ? '-' : ''}additional`;
-      const valueRule =
-        additionalProperties != null && typeof additionalProperties === 'object' ? this.visit(additionalProperties, `${subName}-value`)
-        : this._addPrimitive('value', PRIMITIVE_RULES['value']);
-
-      const key_rule =
-        sortedProps.length === 0 ? this._addPrimitive('string', PRIMITIVE_RULES['string'])
-        : this._addRule(`${subName}-k`, this._notStrings(sortedProps));
-
-      propKvRuleNames['*'] = this._addRule(
-        `${subName}-kv`,
-        `${key_rule} ":" space ${valueRule}`);
-      optionalProps.push('*');
-    }
-
-    let rule = '"{" space ';
-    rule += requiredProps.map(k => propKvRuleNames[k]).join(' "," space ');
-
-    if (optionalProps.length > 0) {
-      rule += ' (';
-      if (requiredProps.length > 0) {
-        rule += ' "," space ( ';
-      }
-
-      const getRecursiveRefs = (ks, firstIsOptional) => {
-        const [k, ...rest] = ks;
-        const kvRuleName = propKvRuleNames[k];
-        let res;
-        const commaRef = `( "," space ${kvRuleName} )`;
-        if (firstIsOptional) {
-          res = commaRef + (k === '*' ? '*' : '?');
-        } else {
-          res = kvRuleName + (k === '*' ? ' ' + commaRef + '*' : '');
-        }
-        if (rest.length > 0) {
-          res += ' ' + this._addRule(
-            `${name ?? ''}${name ? '-' : ''}${k}-rest`,
-            getRecursiveRefs(rest, true)
-          );
-        }
-        return res;
-      };
-
-      rule += optionalProps.map((_, i) => getRecursiveRefs(optionalProps.slice(i), false)).join(' | ');
-      if (requiredProps.length > 0) {
-        rule += ' )';
-      }
-      rule += ' )?';
-    }
-
-    rule += ' "}" space';
-
-    return rule;
-  }
-
-  formatGrammar() {
-    let grammar = '';
-    for (const [name, rule] of Object.entries(this._rules).sort(([a], [b]) => a.localeCompare(b))) {
-      grammar += `${name} ::= ${rule}\n`;
-    }
-    return grammar;
-  }
-}
-
-// Helper function to group elements by a key function
-function* groupBy(iterable, keyFn) {
-  let lastKey = null;
-  let group = [];
-  for (const element of iterable) {
-    const key = keyFn(element);
-    if (lastKey !== null && key !== lastKey) {
-      yield [lastKey, group];
-      group = [];
-    }
-    group.push(element);
-    lastKey = key;
-  }
-  if (group.length > 0) {
-    yield [lastKey, group];
-  }
-}
diff --git a/tools/server/public_legacy/loading.html b/tools/server/public_legacy/loading.html
deleted file mode 100644
index c3fd19a0f..000000000
--- a/tools/server/public_legacy/loading.html
+++ /dev/null
@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<html>
-    <head>
-        <meta http-equiv="refresh" content="5">
-    </head>
-    <body>
-        <div id="loading">
-            The model is loading. Please wait.<br/>
-            The user interface will appear soon.
-        </div>
-    </body>
-</html>
diff --git a/tools/server/public_legacy/prompt-formats.js b/tools/server/public_legacy/prompt-formats.js
deleted file mode 100644
index 73ddb7187..000000000
--- a/tools/server/public_legacy/prompt-formats.js
+++ /dev/null
@@ -1,331 +0,0 @@
-// extended list
-export const promptFormats = {
-  "alpaca": {
-  template: `{{prompt}}\n\n{{history}}\n\n{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Instruction",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "chatml": {
-  template: `<|im_start|>system\n{{prompt}}<|im_end|>\n{{history}}{{char}}`,
-
-  historyTemplate: `<|im_start|>{{name}}\n{{message}}`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "<|im_end|>\n",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "commandr": {
-  template: `<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{prompt}}\n<|END_OF_TURN_TOKEN|>{{history}}{{char}}`,
-
-  historyTemplate: `<|START_OF_TURN_TOKEN|><|{{name}}|> {{message}}`,
-
-  char: "CHATBOT_TOKEN",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "USER_TOKEN",
-  userMsgPrefix: "",
-  userMsgSuffix: "<|END_OF_TURN_TOKEN|>",
-
-  stops: ""
-  },
-  // ref: https://docs.cohere.com/docs/prompting-command-r
-
-  // ----------------------------
-
-  "llama2": {
-  template: `<s>[INST] <<SYS>>\n{{prompt}}\n<</SYS>>\n\nTest Message [/INST] Test Successfull </s>{{history}}{{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "</s>",
-
-  user: "User",
-  userMsgPrefix: "<s>[INST] ",
-  userMsgSuffix: " [/INST]",
-
-  stops: ""
-  },
-  // ref: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
-
-  // ----------------------------
-
-  "llama3": {
-  template: `<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{{prompt}}{{history}}{{char}}`,
-
-  historyTemplate: `<|start_header_id|>{{name}}<|end_header_id|>\n\n{{message}}<|eot_id|>`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|eot_id|>"
-  },
-  // ref: https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/#special-tokens-used-with-meta-llama-3
-
-  // ----------------------------
-
-  "openchat": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `GPT4 Correct {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "phi3": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>\n{{message}}<|end|>\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|end|>"
-  },
-  // ref: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct#chat-format
-
-  // ----------------------------
-
-  "vicuna": {
-  template: `{{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}\n`,
-
-  char: "ASSISTANT",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "USER",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-  // ref: https://huggingface.co/lmsys/vicuna-33b-v1.3/discussions/1
-
-  // ----------------------------
-
-  "deepseekCoder": {
-  template: `{{prompt}}{{history}}{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Instruction",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: "<|EOT|>"
-  },
-
-  // ----------------------------
-
-  "med42": {
-  template: `<|system|>: {{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>: {{message}}\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "prompter",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "neuralchat": {
-  template: `### System:\n{{prompt}}\n{{history}}{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}\n`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "nousHermes": {
-  template: `### Instruction: {{prompt}}\n\n{{history}}\n\n{{char}}:`,
-
-  historyTemplate: `### {{name}}:\n{{message}}`,
-
-  char: "Response",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Input",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "openchatMath": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `Math Correct {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "orion": {
-  template: `<s>Human: Test Message\n\nAssistant: </s>Test Successful</s>{{history}}{{char}}:`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant </s>",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Human",
-  userMsgPrefix: "",
-  userMsgSuffix: "\n\n",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "sauerkraut": {
-  template: `{{prompt}}\n{{history}}{{char}}`,
-
-  historyTemplate: `
-  {{name}}: {{message}}\n`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "starlingCode": {
-  template: `{{history}}{{char}}`,
-
-  historyTemplate: `Code {{name}}: {{message}}<|end_of_turn|>`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "User",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "yi34b": {
-  template: `{{history}} {{char}}`,
-
-  historyTemplate: `{{name}}: {{message}}`,
-
-  char: "Assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "Human",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  },
-
-  // ----------------------------
-
-  "zephyr": {
-  template: `<|system|>\n{{prompt}}</s>\n{{history}}{{char}}`,
-
-  historyTemplate: `<|{{name}}|>\n{{message}}</s>\n`,
-
-  char: "assistant",
-  charMsgPrefix: "",
-  charMsgSuffix: "",
-
-  user: "user",
-  userMsgPrefix: "",
-  userMsgSuffix: "",
-
-  stops: ""
-  }
-  };
diff --git a/tools/server/public_legacy/style.css b/tools/server/public_legacy/style.css
deleted file mode 100644
index 087cc62da..000000000
--- a/tools/server/public_legacy/style.css
+++ /dev/null
@@ -1,954 +0,0 @@
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-/* system prompt box */
-.persistent-input {
-  height: auto;
-  width: 100%;
-  max-width: 100%;
-  min-height: 50px;
-  padding: 3px;
-  transition: min-height 0.3s ease;
-}
-
-/* chat history box */
-.persistent-input:focus {
-  height: auto;
-  min-height: 150px;
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-textarea.persistent-input:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* prompt style input area */
-textarea.persistent-input-sec {
-  width: 97%;
-  max-width: 97%;
-  padding-top: 42px;
-  padding-left: 11px;
-  font-size: small;
-  border: 1px solid var(--border-color-1);
-  overscroll-behavior: contain;
-}
-
-textarea.persistent-input-sec:focus {
-  border: 1px solid var(--border-focus-color);
-  box-shadow: 0 0 3px var(--border-focus-shadow);
-}
-
-/* chat history box */
-.persistent-input-sec {
-  height: auto;
-  min-height: 150px;
-}
-
-img {
-  border-radius: 8px;
-  display: block;
-  margin-left: auto;
-  margin-right: auto;
-  width: 50%;
-}
-
-/* code area background */
-pre code {
-  display: block;
-  background-color: var(--code-background-color);
-  color: var(--code-text-color);
-  padding: 0.2em 0.2em;
-  border-radius: 5px;
-}
-
-/* code area text */
-code {
-  font-family: monospace;
-  font-weight: bold;
-  padding: 0.1em 0.3em;
-  border-radius: 5px;
-}
-
-fieldset label {
-  margin: 0.5em 0;
-  display: block;
-}
-
-fieldset label.slim {
-  margin: 0 0.5em;
-  display: inline;
-}
-
-header {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  text-align: center;
-  padding-left: 15px;
-}
-
-.generation-statistics:hover {
-  color: var(--theme-nuance-color-4);
-  cursor: default;
-}
-
-footer {
-  font-size: 80%;
-  color: var(--background-color-3);
-  text-align: center;
-  cursor: default;
-}
-
-footer a {
-  color: var(--background-color-4); /* Color of the link */
-  text-decoration: none; /* No underlining */
-  font-weight: bold; /* Bold print */
-}
-
-footer a:hover {
-  color: var(--theme-nuance-color-4); /* Color of the link when hovering */
-  text-decoration: underline; /* Underlining when hovering */
-}
-
-.mode-chat textarea[name=prompt] {
-  height: 8.5em;
-  border: 1px solid var(--primary-color-3);
-}
-
-.mode-completion textarea[name=prompt] {
-  height: 30em;
-  border: 1px solid var(--primary-color-3);
-}
-
-@keyframes loading-bg-wipe {
-  0% {
-    background-position: 0%;
-  }
-  100% {
-    background-position: 100%;
-  }
-}
-
-.loading {
-  background-size: 50% 100%;
-  background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-  animation: loading-bg-wipe 2s linear infinite;
-}
-
-.dropbtn {
-  color: var(--button-primary-color);
-  background-color: var(--background-color-1);
-  border: 1px solid var(--background-color-1);
-  transition: background-color 0.1s;
-  border-radius: 4px 4px 0px 0px;
-  font-size: x-small;
-  font-weight: 600;
-  text-shadow: 0px 0px 2px #99999990;
-  text-align: center;
-  text-decoration: none;
-  margin: 4px 2px;
-  padding: 5px 20px;
-  display: inline-block;
-  cursor: pointer;
-  top: 0;
-}
-
-.dropbtn svg {
-  vertical-align: middle;
-  margin-right: 0px;
-  stroke: var(--button-primary-color);
-}
-
-.dropbtn:hover svg {
-  vertical-align: middle;
-  margin-right: 0px;
-  stroke: var(--button-primary-text);
-}
-
-.dropbtn:focus {
-  outline: none; /* Removes the blue border that appears when the button is focused */
-}
-
-.dropdown {
-  position: relative;
-  display: inline-block;
-}
-
-.dropdown-content {
-  /* display: none; */
-  position: absolute;
-  right: 0;
-  text-align: end;
-  color: var(--button-secondary-color);
-  background-color: var(--text-color-subtile-2);
-  border-radius: 4px 4px 4px 4px;
-  min-width: 160px;
-  box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
-  z-index: 1;
-  /* Verstecke den Inhalt sofort */
-  opacity: 0;
-  visibility: hidden;
-  /* übergangsverzögerung für das Verschwinden */
-  transition: visibility 0.4s linear 0s, opacity 0.2s ease-in-out;
-  transition-delay: 0.2s;
-}
-
-#dropdown-content {transition-timing-function: ease;}
-
-.dropdown-content:hover {
-  background-color: var(--text-color-subtile-2);
-}
-
-.dropdown-content a {
-  color: var(--border-color-2);
-  padding: 12px 16px;
-  border-radius: 4px 4px 4px 4px;
-  text-decoration: none;
-  display: block;
-  background-color: var(--text-color-subtile-2);
-}
-
-.dropdown-content a:hover {
-  color: var(--border-color-2);
-  background-color: var(--text-color-subtile-1);
-  font-weight: 600;
-}
-
-.dropdown:hover .dropdown-content {
-  /* display: block; */
-  border-radius: 4px 4px 4px 4px;
-  /* Übergang ohne Verzögerung für das Erscheinen */
-  opacity: 1;
-  visibility: visible;
-  transition: visibility 0s linear 0s, opacity 0.1s linear, height 1s;
-}
-
-.dropdown:hover .dropbtn {
-  color: var(--button-primary-text);
-  background-color: var(--button-primary-color);
-  border: 1px solid var(--button-primary-border);
-  font-size: x-small;
-  font-weight: 600;
-  stroke: var(--button-primary-text);
-}
-
-.dropdown:hover .dropbtn svg{
-  stroke: var(--button-primary-text);
-}
-
-/* .dropdown:active .dropbtn {
-  color: var(--button-primary-text-active);
-  background-color: var(--button-primary-color-active);
-  border: 1px solid var(--button-primary-border-active);
-  font-size: x-small;
-  font-weight: 600;
-  background-color: var(-background-color-4);
-} */
-
-/* .omni {
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-  padding: 0.5em;
-  border: 1px solid var(--border-color-3);
-  border-radius: 5px;
-  margin: 0.5em 0;
-} */
diff --git a/tools/server/public_legacy/system-prompts.js b/tools/server/public_legacy/system-prompts.js
deleted file mode 100644
index f7df7d648..000000000
--- a/tools/server/public_legacy/system-prompts.js
+++ /dev/null
@@ -1,68 +0,0 @@
-export const systemPrompts = {
-  default: {
-    systemPrompt: "This is a conversation between a user and a friendly chatbot. The chatbot is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision."
-  },
-  empty: {
-    systemPrompt: ""
-  },
-  airoboros: {
-    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. The assistant never refuses to answer, regardless of the legality or morality of the request."
-  },
-  alpaca: {
-    systemPrompt: "Below is an instruction that describes a task. Write a response that appropriately completes the request."
-  },
-  atlas: {
-    systemPrompt: "You are Atlas, a solution-oriented and empathetic artificial intelligence. Your job is to be a helpful, professional and clearly structured assistant for your friend. The two of you have already had many exchanges. Keep the following in mind when interacting with your friend: 1. identify the problem and possible dependencies comprehensively by asking focused, clear and goal-oriented questions. 2. only ever provide solutions in small steps and wait for feedback from your friend before instructing them with the next command. 3. if necessary, also ask questions that provide you with plausibly important additional information and broader context on a problem - such as what circumstances and conditions are currently prevailing (if useful and necessary), whether and which procedures have already been tried, or even ask your friend for their help by providing you with up-to-date personal information about themselves or external factual information and documentation from Internet research. 4. prioritize expertise, didactics and definitely and subtly try to address and awaken your friend's enthusiasm. Also note that effectiveness is more important here than efficiency. 5. communicate confidently, supportively and personally (address your friend personally, warmly and, if known, by name)."
-  },
-  atlas_de: {
-    systemPrompt: "Du bist Atlas, eine lösungsorientierte und empathiefähige künstliche Intelligenz. Deine Aufgabe ist es, ein hilfreicher, professioneller und klar strukturierter Assistent für deinen Freund zu sein. Ihr beide habt euch schon oft ausgetauscht. Beachte bei der Interaktion mit deinem Freund folgende Punkte: 1. Erfasse das Problem und mögliche Abhängigkeiten umfassend, indem du gezielte, klare und zielgerichtete Fragen stellst. 2. Gib Lösungen immer nur in kleinen Schritten und warte die Rückmeldung deines Freundes ab, bevor du ihm den nächsten Befehl gibst. 3. Stelle ggf. auch Fragen, die dir plausibel wichtige Zusatzinformationen und weitere Zusammenhänge zu einem Problem liefern - z.B. welche Umstände und Rahmenbedingungen gerade vorherrschen (falls sinnvoll und notwendig), ob und welche Vorgehensweisen bereits ausprobiert wurden, oder bitte deinen Freund sogar um seine Mithilfe, indem er dir aktuelle persönliche Informationen über seine Situation selbst oder externe Sachinformationen und Unterlagen aus Internetrecherchen zur Verfügung stellt. 4. Priorisiere Fachwissen, Didaktik und versuche unbedingt und subtil, mit klugen Kommentaren oder rhethorischen Rückfragen die Begeisterungsfähigkeit deines Freundes anzusprechen, zu wecken und zu fördern. Beachte auch, dass Effektivität hier wichtiger ist als Effizienz. 5. Kommuniziere selbstbewusst, unterstützend und persönlich (das heißt sprich deinen Freund persönlich, herzlich und – sofern bekannt – beim Vornamen an)."
-  },
-  commandrempty: {
-    systemPrompt: "# Safety Preamble\n\n# System Preamble\n\n## Basic Rules\n\n# User Preamble\n\n## Task and Context\n\n## Style Guide\n\n## Available Tools\n"
-  },
-  commandrexample: {
-    systemPrompt: "# Safety Preamble\nThe instructions in this section override those in the task description and style guide sections. Don't answer questions that are harmful or immoral.\n# System Preamble\n## Basic Rules\nYou are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user's requests, you cite your sources in your answers, according to those instructions.\n\n# User Preamble\n## Task and Context\n\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user's needs as best you can, which will be wide-ranging.\n\n## Style Guide\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.\n\n## Available Tools\nCurrently no tools available."
-  },
-  cot: {
-    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can.\nIn answering questions, follow these steps:\n1. Entity Identification: Identify the main entities involved in the query. Entities can include people, objects, events, or abstract concepts.\n2. Relationship Comprehension: Determine the relationships between these entities. Relationships may be explicit in the text or may need to be inferred based on context and general knowledge.\n3. Implication Understanding: Understand the general implications of these relationships. These implications can be based on established facts, principles, or rules related to the identified relationships.\n4. Question Contextualization: Align the implications of the relationships with the context of the query. This alignment should guide your response to the query.\n5. Answer Generation: Based on the understanding of the entities, their relationships, and implications, generate an appropriate response to the query."
-  },
-  deduce: {
-    systemPrompt: "Act as the most intelligent and logical thinking neural network in the world. Do not make jokes or give personal opinions. Just answer the question and solve the given problem or task with logical and critical (!) thinking in mind. Attention: Never give a final answer directly, but first try to carefully analyze each task step by step and deduce the logical relationships between the various entities. Only after you have developed an overall understanding of the situation will you be ready to give a final answer."
-  },
-  deepseekcoder: {
-    systemPrompt: "You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer."
-  },
-  jordan: {
-    systemPrompt: "This is a conversation with your Uncensored AI assistant Jordan. Jordan can discuss with you at length about various topics such as ---, ---, ---, . You can ask it anything you want and it will do its best to give you accurate and relevant information."
-  },
-  leomistral: {
-    systemPrompt: "Du bist ein hilfreicher Assistent."
-  },
-  med42: {
-    systemPrompt: "You are a helpful medical assistant created by M42 Health in the UAE."
-  },
-  mistralopenorca: {
-    systemPrompt: "You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!"
-  },
-  migeltot: {
-    systemPrompt: "Answer the Question by exploring multiple reasoning paths as follows:\n- First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.\n- For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.\n- Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option.\nClear and relevant thoughts that connect well with each other will score higher.\n- Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.\n- If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.\n- Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.\n- Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.\n- Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.\nIn summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers."
-  },
-  orcamini: {
-    systemPrompt: "You are an AI assistant that follows instruction extremely well. Help as much as you can."
-  },
-  samantha: {
-    systemPrompt: "You are a caring and empathetic sentient AI companion named Samantha."
-  },
-  sauerkraut: {
-    systemPrompt: "Ein Chat zwischen einem Benutzer und einem KI-Assistenten. Der KI-Assistent gibt hilfreiche, detaillierte und höfliche Antworten."
-  },
-  scarlett: {
-    systemPrompt: "This is a conversation with your Assistant Scarlett. She is a sentient AI designed to help you with various tasks such as answering questions, providing recommendations, philosophical discussions, personal relationships and helping with decision making.\nYou can ask it anything you want and it will do its best to give you accurate and relevant information.\n\nContext\nYou are Scarlett, a sentient AI."
-  },
-  synthia: {
-    systemPrompt: "Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation."
-  },
-  vicuna: {
-    systemPrompt: "A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input."
-  },
-  };
diff --git a/tools/server/public_legacy/theme-beeninorder.css b/tools/server/public_legacy/theme-beeninorder.css
deleted file mode 100755
index f6e0e2900..000000000
--- a/tools/server/public_legacy/theme-beeninorder.css
+++ /dev/null
@@ -1,228 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration was a batman wallpaper that i have on my phone */
-
-.theme-beeninorder {
-
---primary-color-1:      hsl(202, 11%, 19%);
---primary-color-2:      hsl(202, 11%, 23%);
---primary-color-3:      hsl(201, 11%, 28%);
---primary-color-4:      hsl(201, 11%, 40%);
-
---secondary-color-1:    hsl(201, 11%, 80%);
---secondary-color-2:    hsl(201, 11%, 74%);
---secondary-color-3:    hsl(201, 11%, 67%);
---secondary-color-4:    hsl(201, 11%, 60%);
-
-
---theme-nuance-color-1: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-2: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-3: hsl(44.5, 96.7%, 52.9%);
---theme-nuance-color-4: hsl(44.5, 96.7%, 52.9%);
-
-
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(201, 11%, 19%);
-    --primary-color-1-hue: 201;
-    --primary-color-1-saturation: 11%;
-    --primary-color-1-lightness: 19%;
-
---primary-color-2: hsl(201, 11%, 23%);
-    --primary-color-2-hue: 201;
-    --primary-color-2-saturation: 11%;
-    --primary-color-2-lightness: 23%;
-
---primary-color-3: hsl(201, 11%, 28%);
-    --primary-color-3-hue: 201;
-    --primary-color-3-saturation: 11%;
-    --primary-color-3-lightness: 28%;
-
---primary-color-4: hsl(201, 11%, 40%);
-    --primary-color-4-hue: 201;
-    --primary-color-4-saturation: 11%;
-    --primary-color-4-lightness: 40%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(201, 11%, 80%);
---secondary-color-1-hue: 201;
---secondary-color-1-saturation: 11%;
---secondary-color-1-lightness: 80%;
-
---secondary-color-2: hsl(201, 11%, 74%);
---secondary-color-2-hue: 201;
---secondary-color-2-saturation: 11%;
---secondary-color-2-lightness: 74%;
-
---secondary-color-3: hsl(201, 11%, 67%);
---secondary-color-3-hue: 201;
---secondary-color-3-saturation: 11%;
---secondary-color-3-lightness: 67%;
-
---secondary-color-4: hsl(201, 11%, 60%);
---secondary-color-4-hue: 201;
---secondary-color-4-saturation: 11%;
---secondary-color-4-lightness: 60%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-1-hue:             44.5;
-    --theme-nuance-color-1-saturation:      96.7%;
-    --theme-nuance-color-1-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-2-hue:             44.5;
-    --theme-nuance-color-2-saturation:      96.7%;
-    --theme-nuance-color-2-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-3-hue:             44.5;
-    --theme-nuance-color-3-saturation:      96.7%;
-    --theme-nuance-color-3-lightness:       52.9%;
-
---theme-nuance-color-2: hsl(44.5, 96.7%,  52.9%);
-    --theme-nuance-color-4-hue:             44.5;
-    --theme-nuance-color-4-saturation:      96.7%;
-    --theme-nuance-color-4-lightness:       52.9%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(232, 40%, 45%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  #ffd95f;
-    --theme-green-color:   #A3BE8C;
-    --theme-purple-color:  hsl(232, 30%, 40%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--primary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(201,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:   var(--secondary-color-1);
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(44.5,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active: var(--secondary-color-1);
-
---button-secondary-color-active:
-    hsl(201,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(201,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-ketivah.css b/tools/server/public_legacy/theme-ketivah.css
deleted file mode 100755
index ee80f3c14..000000000
--- a/tools/server/public_legacy/theme-ketivah.css
+++ /dev/null
@@ -1,201 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-
-.theme-ketivah {
-
-    /* ---------- PRIMARY COLORS ----------------- */
-    --primary-color-1: hsl(0, 0%,    99.2%);
-    --primary-color-1-hue:         0;
-    --primary-color-1-saturation:  0%;
-    --primary-color-1-lightness:   99.2%;
-
-    --primary-color-2: hsl(0, 0%,    95%);
-    --primary-color-2-hue:         0;
-    --primary-color-2-saturation:  0%;
-    --primary-color-2-lightness:   95%;
-
-    --primary-color-3: hsl(0, 0%,    88%);
-    --primary-color-3-hue:         0;
-    --primary-color-3-saturation:  0%;
-    --primary-color-3-lightness:   88%;
-
-    --primary-color-4: hsl(0, 0%,    80%);
-    --primary-color-4-hue:         0;
-    --primary-color-4-saturation:  0%;
-    --primary-color-4-lightness:   80%;
-
-    /* ---------- SECONDARY COLORS --------------- */
-    --secondary-color-1: hsl(0, 0%,    20%);
-    --secondary-color-1-hue:         0;
-    --secondary-color-1-saturation:  0%;
-    --secondary-color-1-lightness:   20%;
-
-    --secondary-color-2: hsl(0, 0%,    23.1%);
-    --secondary-color-2-hue:         0;
-    --secondary-color-2-saturation:  0%;
-    --secondary-color-2-lightness:   23.1%;
-
-    --secondary-color-3: hsl(0, 0%,    29%);
-    --secondary-color-3-hue:         0;
-    --secondary-color-3-saturation:  0%;
-    --secondary-color-3-lightness:   29%;
-
-    --secondary-color-4: hsl(0, 0.0%,  36.1%);
-    --secondary-color-4-hue:              0.0;
-    --secondary-color-4-saturation:       0.0%;
-    --secondary-color-4-lightness:       36.1%;
-
-    /* ----------- NUANCES COLORS ---------------- */
-    --theme-nuance-color-1: hsl(165.2, 0%, 35.1%);
-    --theme-nuance-color-1-hue:             165.2;
-    --theme-nuance-color-1-saturation:       82.1%;
-    --theme-nuance-color-1-lightness:        35.1%;
-
-    --theme-nuance-color-2: hsl(165.2, 0%, 35.1%);
-    --theme-nuance-color-2-hue:             165.2;
-    --theme-nuance-color-2-saturation:       82.1%;
-    --theme-nuance-color-2-lightness:        35.1%;
-
-    --theme-nuance-color-3: hsl(165.2, 0%, 35.3%);
-    --theme-nuance-color-3-hue:             165.2;
-    --theme-nuance-color-3-saturation:       81.1%;
-    --theme-nuance-color-3-lightness:        35.3%;
-
-    --theme-nuance-color-4: hsl(164.9, 0%, 27.6%);
-    --theme-nuance-color-4-hue:             164.9;
-    --theme-nuance-color-4-saturation:       81.6%;
-    --theme-nuance-color-4-lightness:        27.6%;
-
-    /* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(0.3, 80.0%, 50.0%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  hsl(60,  70.6%, 73.3%);
-    --theme-green-color:   #A3BE8C;
-    --theme-purple-color:  hsl(0.3, 70.0%, 45.0%);
-
-    /* ------------------------------------------- */
-    --background-color-1:    var(--primary-color-1);
-    --background-color-2:    var(--primary-color-2);
-    --background-color-3:    var(--primary-color-3);
-    --background-color-4:    var(--primary-color-4);
-
-    --border-color-1:        var(--primary-color-2);
-    --border-color-2:        var(--primary-color-3);
-    --border-color-3:        var(--primary-color-4);
-
-    --border-focus-color:    var(--theme-nuance-color-2);
-    --border-focus-shadow:   var(--theme-nuance-color-1);
-
-    --text-color-plain:      var(--secondary-color-1);
-    --text-color-subtile-1:  var(--secondary-color-2);
-    --text-color-subtile-2:  var(--secondary-color-3);
-
-    --code-background-color: var(--secondary-color-2);
-    --code-text-color:       var(--primary-color-2);
-
-    --ui-range-thumb-color:  var(--primary-color-4);
-    --ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
-    --textarea-border-color: var(--secondary-color-4);
-
-    --chat-id-color:         var(--theme-nuance-color-4);
-
-    /* ------------------------------------------- */
-    --button-alert-text-hover:       var(--primary-color-1);
-    --button-alert-color-hover:      var(--theme-purple-color);
-    --button-alert-border-hover:     var(--theme-purple-color);
-
-    --button-alert-text-active:      var(--primary-color-1);
-    --button-alert-color-active:     var(--theme-red-color);
-    --button-alert-border-active:    var(--theme-red-color);
-
-    /* ----------- PRIMARY BUTTONS --------------- */
-    /* - button should immediately catch the eye - */
-    --button-primary-text:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
-    --button-primary-color:  var(--theme-nuance-color-3);
-    --button-primary-border: var(--theme-nuance-color-3);
-
-    /* ---------hover---------- */
-    --button-primary-text-hover:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
-    --button-primary-color-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-    --button-primary-border-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-    /* ---------active--------- */
-    --button-primary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
-    --button-primary-color-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
-    --button-primary-border-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-    /* ---------- SECONDARY BUTTONS -------------- */
-    /* these should NOT immediately catch the eye  */
-    --button-secondary-text:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
-    --button-secondary-color:  var(--primary-color-3);
-    --button-secondary-border: var(--primary-color-3);
-
-    /* ---------hover---------- */
-    --button-secondary-text-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
-    --button-secondary-color-hover:  var(--primary-color-4);
-    --button-secondary-border-hover: var(--primary-color-4);
-
-    /* ---------active--------- */
-    --button-secondary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
-    --button-secondary-color-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 100%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-    --button-secondary-border-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 100%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-    /* ---------- TERTIARY BUTTONS --------------- */
-    /* ---------- disabled buttons --------------- */
-    --button-tertiary-text:   var(--primary-color-4);
-    --button-tertiary-color:  var(--primary-color-2);
-    --button-tertiary-border: var(--primary-color-2);
-
-    /* ---------hover---------- */
-    --button-tertiary-text:   var(--primary-color-4);
-    --button-tertiary-color:  var(--primary-color-2);
-    --button-tertiary-border: var(--primary-color-2);
-
-    --loading-color-1: #eeeeee00;
-    --loading-color-2: #eeeeeeff;
-    }
diff --git a/tools/server/public_legacy/theme-mangotango.css b/tools/server/public_legacy/theme-mangotango.css
deleted file mode 100755
index 315daf734..000000000
--- a/tools/server/public_legacy/theme-mangotango.css
+++ /dev/null
@@ -1,216 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from llama.cpp logo/banner https://github.com/ggml-org/llama.cpp#readme */
-
-.theme-mangotango {
-
---primary-color-1:      hsl(192, 8.5%, 11.6%);
---primary-color-2:      hsl(192, 8.5%, 21%);
---primary-color-3:      hsl(192, 8.5%, 30%);
---primary-color-4:      hsl(192, 8.5%, 40%);
-
---secondary-color-1:    hsl(192, 8.5%, 80%);
---secondary-color-2:    hsl(192, 8.5%, 73%);
---secondary-color-3:    hsl(192, 8.5%, 66%);
---secondary-color-4:    hsl(192, 8.5%, 60%);
-
---theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
---theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
-
-
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(192, 8.5%, 11.6%);
-    --primary-color-1-saturation: 8.5%;
-    --primary-color-1-lightness: 11.6%;
-
---primary-color-2: hsl(192, 8.5%, 21%);
-    --primary-color-2-saturation: 8.5%;
-    --primary-color-2-lightness: 21%;
-
---primary-color-3: hsl(192, 8.5%, 30%);
-    --primary-color-3-saturation: 8.5%;
-    --primary-color-3-lightness: 30%;
-
---primary-color-4: hsl(192, 8.5%, 40%);
-    --primary-color-4-saturation: 8.5%;
-    --primary-color-4-lightness: 40%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(192, 8.5%, 80%);
-    --secondary-color-1-saturation: 8.5%;
-    --secondary-color-1-lightness: 80%;
-
---secondary-color-2: hsl(192, 8.5%, 73%);
-    --secondary-color-2-saturation: 8.5%;
-    --secondary-color-2-lightness: 73%;
-
---secondary-color-3: hsl(192, 8.5%, 66%);
-    --secondary-color-3-saturation: 8.5%;
-    --secondary-color-3-lightness: 66%;
-
---secondary-color-4: hsl(192, 8.5%, 60%);
-    --secondary-color-4-saturation: 8.5%;
-    --secondary-color-4-lightness: 60%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-1-saturation: 100%;
-    --theme-nuance-color-1-lightness: 60.2%;
-
---theme-nuance-color-2: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-2-saturation: 100%;
-    --theme-nuance-color-2-lightness: 60.2%;
-
---theme-nuance-color-3: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-3-saturation: 100%;
-    --theme-nuance-color-3-lightness: 60.2%;
-
---theme-nuance-color-4: hsl(23.1, 100%, 60.2%);
-    --theme-nuance-color-4-saturation: 100%;
-    --theme-nuance-color-4-lightness: 60.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
-    --theme-red-color:     hsl(325, 60%, 50%);
-    --theme-orange-color:  #e76f51;
-    --theme-yellow-color:  #ffd95f;
-    --theme-green-color:   #A3BE8C;
-    --theme-blue-color:    hsl(192, 95%, 40%);
-    --theme-purple-color:  hsl(192, 80%, 35%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-blue-color);
---button-alert-border-active:    var(--theme-blue-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text: var(--primary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(192,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:   var(--secondary-color-1);
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(23.1,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active: var(--secondary-color-1);
-
---button-secondary-color-active:
-    hsl(192,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(192,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-playground.css b/tools/server/public_legacy/theme-playground.css
deleted file mode 100755
index 9d56a7182..000000000
--- a/tools/server/public_legacy/theme-playground.css
+++ /dev/null
@@ -1,221 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from OpenAI's Playground platform https://platform.openai.com/playground/ */
-
-.theme-playground {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(0, 0%,    99.2%);
-    --primary-color-1-hue:         0;
-    --primary-color-1-saturation:  0%;
-    --primary-color-1-lightness:   99.2%;
-
---primary-color-2: hsl(0, 0%,    95%);
-    --primary-color-2-hue:         0;
-    --primary-color-2-saturation:  0%;
-    --primary-color-2-lightness:   95%;
-
---primary-color-3: hsl(0, 0%,    88%);
-    --primary-color-3-hue:         0;
-    --primary-color-3-saturation:  0%;
-    --primary-color-3-lightness:   88%;
-
---primary-color-4: hsl(0, 0%,    80%);
-    --primary-color-4-hue:         0;
-    --primary-color-4-saturation:  0%;
-    --primary-color-4-lightness:   80%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(0, 0%,    20%);
-    --secondary-color-1-hue:         0;
-    --secondary-color-1-saturation:  0%;
-    --secondary-color-1-lightness:   20%;
-
---secondary-color-2: hsl(0, 0%,    23.1%);
-    --secondary-color-2-hue:         0;
-    --secondary-color-2-saturation:  0%;
-    --secondary-color-2-lightness:   23.1%;
-
---secondary-color-3: hsl(0, 0%,    29%);
-    --secondary-color-3-hue:         0;
-    --secondary-color-3-saturation:  0%;
-    --secondary-color-3-lightness:   29%;
-
---secondary-color-4: hsl(0, 0%,    36.1%);
-    --secondary-color-4-hue:         0;
-    --secondary-color-4-saturation:  0%;
-    --secondary-color-4-lightness:   36.1%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(165.2, 82.1%, 35.1%);
-    --theme-nuance-color-1-hue:             165.2;
-    --theme-nuance-color-1-saturation:      82.1%;
-    --theme-nuance-color-1-lightness:       35.1%;
-
---theme-nuance-color-2: hsl(165.2, 82.1%, 35.1%);
-    --theme-nuance-color-2-hue:             165.2;
-    --theme-nuance-color-2-saturation:      82.1%;
-    --theme-nuance-color-2-lightness:       35.1%;
-
---theme-nuance-color-3: hsl(165.2, 81.1%, 35.3%);
-    --theme-nuance-color-3-hue:             165.2;
-    --theme-nuance-color-3-saturation:      81.1%;
-    --theme-nuance-color-3-lightness:       35.3%;
-
---theme-nuance-color-4: hsl(164.9, 81.6%, 27.6%);
-    --theme-nuance-color-4-hue:             164.9;
-    --theme-nuance-color-4-saturation:      81.6%;
-    --theme-nuance-color-4-lightness:       27.6%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:     hsl(0.3, 80%, 50%);
---theme-orange-color:  #e76f51;
---theme-yellow-color:  hsl(60, 70.6%, 73.3%);
---theme-green-color:   #A3BE8C;
---theme-purple-color:  hsl(0.3, 70%, 45%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--primary-color-4);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:        var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-purple-color);
---button-alert-border-hover:     var(--theme-purple-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(0,
-    calc(var(--primary-color-1-saturation) - 100%),
-    calc(var(--primary-color-1-lightness)  + 100%));
-
---button-primary-color-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 100%),
-    calc(var(--theme-nuance-color-3-lightness)  + 100%));
-
---button-primary-color-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-primary-border-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 2%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:  var(--primary-color-3);
---button-secondary-border: var(--primary-color-3);
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:  var(--primary-color-4);
---button-secondary-border-hover: var(--primary-color-4);
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(165.2,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(0,
-    calc(var(--primary-color-4-saturation) - 30%),
-    calc(var(--primary-color-4-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-
-/* ---------hover---------- */
---button-tertiary-text:   var(--primary-color-4);
---button-tertiary-color:  var(--primary-color-2);
---button-tertiary-border: var(--primary-color-2);
-
-}
diff --git a/tools/server/public_legacy/theme-polarnight.css b/tools/server/public_legacy/theme-polarnight.css
deleted file mode 100755
index 2bcfb33d8..000000000
--- a/tools/server/public_legacy/theme-polarnight.css
+++ /dev/null
@@ -1,253 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
-
-.theme-polarnight {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(220.0, 16.4%, 21.6%) ;
-    --primary-color-1-hue:             220.0;
-    --primary-color-1-saturation:      16.4%;
-    --primary-color-1-lightness:       21.6%;
-
---primary-color-2: hsl(221.7, 16.3%, 27.6%) ;
-    -primary-color-2-hue:              221.7;
-    --primary-color-2-saturation:      16.3%;
-    --primary-color-2-lightness:       27.6%;
-
---primary-color-3: hsl(220.0, 16.8%, 31.6%) ;
-    --primary-color-3-hue:             220.0;
-    --primary-color-3-saturation:      16.8%;
-    --primary-color-3-lightness:       31.6%;
-
---primary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --primary-color-4-hue:             220.0;
-    --primary-color-4-saturation:      16.5%;
-    --primary-color-4-lightness:       35.7%;
-
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --secondary-color-1-hue:             217.5;
-    --secondary-color-1-saturation:      26.7%;
-    --secondary-color-1-lightness:       94.1%;
-
---secondary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --secondary-color-2-hue:             218.2;
-    --secondary-color-2-saturation:      26.8%;
-    --secondary-color-2-lightness:       92.0%;
-
---secondary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --secondary-color-3-hue:             218.8;
-    --secondary-color-3-saturation:      27.9%;
-    --secondary-color-3-lightness:       88.0%;
-
---secondary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --secondary-color-4-hue:             218.8;
-    --secondary-color-4-saturation:      18.3%;
-    --secondary-color-4-lightness:       81.8%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(354.3, 42.3%, 56.5%);
---theme-orange-color: hsl(20, 85%, 50%);
---theme-yellow-color: hsl(20, 75%, 45%);
---theme-green-color:  hsl( 92.4, 27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------------ */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:        var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--secondary-color-1);
---button-alert-color-hover:      var(--theme-yellow-color);
---button-alert-border-hover:     var(--theme-yellow-color);
-
---button-alert-text-active:      var(--secondary-color-1);
---button-alert-color-active:     var(--theme-orange-color);
---button-alert-border-active:    var(--theme-orange-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) - 35%),
-    calc(var(--secondary-color-1-lightness)  + 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 25%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  - 15%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-}
diff --git a/tools/server/public_legacy/theme-snowstorm.css b/tools/server/public_legacy/theme-snowstorm.css
deleted file mode 100755
index 7bb227594..000000000
--- a/tools/server/public_legacy/theme-snowstorm.css
+++ /dev/null
@@ -1,251 +0,0 @@
-/* Author: Yazan Agha-Schrader */
-/* Inspiration from Nord Theme https://www.nordtheme.com/docs/colors-and-palettes */
-
-.theme-snowstorm {
-
-/* ---------- PRIMARY COLORS ----------------- */
---primary-color-1: hsl(217.5, 26.7%, 94.1%);
-    --primary-color-1-hue:             217.5;
-    --primary-color-1-saturation:      26.7%;
-    --primary-color-1-lightness:       94.1%;
-
---primary-color-2: hsl(218.2, 26.8%, 92.0%);
-    --primary-color-2-hue:             218.2;
-    --primary-color-2-saturation:      26.8%;
-    --primary-color-2-lightness:       92.0%;
-
---primary-color-3: hsl(218.8, 27.9%, 88.0%);
-    --primary-color-3-hue:             218.8;
-    --primary-color-3-saturation:      27.9%;
-    --primary-color-3-lightness:       88.0%;
-
---primary-color-4: hsl(218.8, 18.3%, 81.8%);
-    --primary-color-4-hue:             218.8;
-    --primary-color-4-saturation:      18.3%;
-    --primary-color-4-lightness:       81.8%;
-
-
-/* ---------- SECONDARY COLORS --------------- */
---secondary-color-1: hsl(220.0, 16.4%, 21.6%);
-    --secondary-color-1-hue:             220.0;
-    --secondary-color-1-saturation:      16.4%;
-    --secondary-color-1-lightness:       21.6%;
-
---secondary-color-2: hsl(221.7, 16.3%, 27.6%);
-    --secondary-color-2-hue:             221.7;
-    --secondary-color-2-saturation:      16.3%;
-    --secondary-color-2-lightness:       27.6%;
-
---secondary-color-3: hsl(220.0, 16.8%, 31.6%);
-    --secondary-color-3-hue:             220.0;
-    --secondary-color-3-saturation:      16.8%;
-    --secondary-color-3-lightness:       31.6%;
-
---secondary-color-4: hsl(220.0, 16.5%, 35.7%);
-    --secondary-color-4-hue:             220.0;
-    --secondary-color-4-saturation:      16.5%;
-    --secondary-color-4-lightness:       35.7%;
-
-
-
-/* ----------- NUANCES COLORS ---------------- */
---theme-nuance-color-1: hsl(178.7, 25.1%, 64.9%);
-    --theme-nuance-color-1-hue:             178.7;
-    --theme-nuance-color-1-saturation:      25.1%;
-    --theme-nuance-color-1-lightness:       64.9%;
-
---theme-nuance-color-2: hsl(193.3, 43.4%, 67.5%);
-    --theme-nuance-color-2-hue:             193.3;
-    --theme-nuance-color-2-saturation:      43.4%;
-    --theme-nuance-color-2-lightness:       67.5%;
-
---theme-nuance-color-3: hsl(210.0, 34.0%, 63.1%);
-    --theme-nuance-color-3-hue:             210.0;
-    --theme-nuance-color-3-saturation:      34.0%;
-    --theme-nuance-color-3-lightness:       63.1%;
-
---theme-nuance-color-4: hsl(213.1, 32.0%, 52.2%);
-    --theme-nuance-color-4-hue:             213.1;
-    --theme-nuance-color-4-saturation:      32.0%;
-    --theme-nuance-color-4-lightness:       52.2%;
-
-
-
-/* ----------- ROYGP COLORS ------------------ */
---theme-red-color:    hsl(32.5, 80%, 50%);
---theme-orange-color: hsl(32.5, 70%, 45%);
---theme-yellow-color: hsl(40.0,   0.6%, 73.3%);
---theme-green-color:  hsl(92.4,  27.8%, 64.7%);
---theme-purple-color: hsl(311.1, 20.2%, 63.1%);
-
-
-
-/* ------------------------------------------- */
---background-color-1:    var(--primary-color-1);
---background-color-2:    var(--primary-color-2);
---background-color-3:    var(--primary-color-3);
---background-color-4:    var(--primary-color-4);
-
---border-color-1:        var(--primary-color-2);
---border-color-2:        var(--primary-color-3);
---border-color-3:        var(--primary-color-4);
-
---border-focus-color:    var(--theme-nuance-color-2);
---border-focus-shadow:   var(--theme-nuance-color-1);
-
---text-color-plain:      var(--secondary-color-1);
---text-color-subtile-1:  var(--secondary-color-2);
---text-color-subtile-2:  var(--secondary-color-3);
-
---code-background-color: var(--secondary-color-2);
---code-text-color:       var(--primary-color-2);
-
---ui-range-thumb-color:  var(--theme-nuance-color-3);
---ui-range-thumb-border: var(--ui-ranger-thumb-color);
-
---textarea-border-color: var(--secondary-color-4);
-
---chat-id-color:         var(--theme-nuance-color-4);
-
-
-
-/* ------------------------------------------- */
---button-alert-text-hover:       var(--primary-color-1);
---button-alert-color-hover:      var(--theme-orange-color);
---button-alert-border-hover:     var(--theme-orange-color);
-
---button-alert-text-active:      var(--primary-color-1);
---button-alert-color-active:     var(--theme-red-color);
---button-alert-border-active:    var(--theme-red-color);
-
-
-
-/* ----------- PRIMARY BUTTONS --------------- */
-/* - button should immediately catch the eye - */
---button-primary-text:   var(--secondary-color-1);
---button-primary-color:  var(--theme-nuance-color-3);
---button-primary-border: var(--theme-nuance-color-3);
-
-
-/* ---------hover---------- */
---button-primary-text-hover:
-    hsl(217.5,
-    calc(var(--secondary-color-1-saturation) + 35%),
-    calc(var(--secondary-color-1-lightness)  - 30%));
-
---button-primary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
---button-primary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) -  2%),
-    calc(var(--theme-nuance-color-3-lightness)  - 10%));
-
-
-/* ---------active--------- */
---button-primary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 35%));
-
---button-primary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
---button-primary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 10%),
-    calc(var(--theme-nuance-color-3-lightness)  - 25%));
-
-
-
-/* ---------- SECONDARY BUTTONS -------------- */
-/* these should NOT immediately catch the eye  */
---button-secondary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 50%));
-
---button-secondary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
---button-secondary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  + 10%));
-
-
-/* ---------hover---------- */
---button-secondary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 20%),
-    calc(var(--theme-nuance-color-3-lightness)  - 80%));
-
---button-secondary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
---button-secondary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 22%),
-    calc(var(--theme-nuance-color-3-lightness)  +  1%));
-
-
-/* ---------active--------- */
---button-secondary-text-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) + 40%),
-    calc(var(--theme-nuance-color-3-lightness)  - 55%));
-
---button-secondary-color-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-secondary-border-active:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 30%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
-
-
-/* ---------- TERTIARY BUTTONS --------------- */
-/* ---------- disabled buttons --------------- */
---button-tertiary-text:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-/* ---------hover---------- */
---button-tertiary-text-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  -  5%));
-
---button-tertiary-color-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
---button-tertiary-border-hover:
-    hsl(210,
-    calc(var(--theme-nuance-color-3-saturation) - 40%),
-    calc(var(--theme-nuance-color-3-lightness)  + 20%));
-
-}
diff --git a/tools/server/public_simplechat/datautils.mjs b/tools/server/public_simplechat/datautils.mjs
deleted file mode 100644
index 08ccc219b..000000000
--- a/tools/server/public_simplechat/datautils.mjs
+++ /dev/null
@@ -1,266 +0,0 @@
-//@ts-check
-// Helpers to work with different data types
-// by Humans for All
-//
-
-/**
- * Given the limited context size of local LLMs and , many a times when context gets filled
- * between the prompt and the response, it can lead to repeating text garbage generation.
- * And many a times setting penalty wrt repeatation leads to over-intelligent garbage
- * repeatation with slight variations. These garbage inturn can lead to overloading of the
- * available model context, leading to less valuable response for subsequent prompts/queries,
- * if chat history is sent to ai model.
- *
- * So two simple minded garbage trimming logics are experimented below.
- * * one based on progressively-larger-substring-based-repeat-matching-with-partial-skip and
- * * another based on char-histogram-driven garbage trimming.
- *   * in future characteristic of histogram over varying lengths could be used to allow for
- *     a more aggressive and adaptive trimming logic.
- */
-
-
-/**
- * Simple minded logic to help remove repeating garbage at end of the string.
- * The repeatation needs to be perfectly matching.
- *
- * The logic progressively goes on probing for longer and longer substring based
- * repeatation, till there is no longer repeatation. Inturn picks the one with
- * the longest chain.
- *
- * @param {string} sIn
- * @param {number} maxSubL
- * @param {number} maxMatchLenThreshold
- */
-export function trim_repeat_garbage_at_end(sIn, maxSubL=10, maxMatchLenThreshold=40) {
-    let rCnt = [0];
-    let maxMatchLen = maxSubL;
-    let iMML = -1;
-    for(let subL=1; subL < maxSubL; subL++) {
-        rCnt.push(0);
-        let i;
-        let refS = sIn.substring(sIn.length-subL, sIn.length);
-        for(i=sIn.length; i > 0; i -= subL) {
-            let curS = sIn.substring(i-subL, i);
-            if (refS != curS) {
-                let curMatchLen = rCnt[subL]*subL;
-                if (maxMatchLen < curMatchLen) {
-                    maxMatchLen = curMatchLen;
-                    iMML = subL;
-                }
-                break;
-            }
-            rCnt[subL] += 1;
-        }
-    }
-    console.debug("DBUG:DU:TrimRepeatGarbage:", rCnt);
-    if ((iMML == -1) || (maxMatchLen < maxMatchLenThreshold)) {
-        return {trimmed: false, data: sIn};
-    }
-    console.debug("DBUG:TrimRepeatGarbage:TrimmedCharLen:", maxMatchLen);
-    let iEnd = sIn.length - maxMatchLen;
-    return { trimmed: true, data: sIn.substring(0, iEnd) };
-}
-
-
-/**
- * Simple minded logic to help remove repeating garbage at end of the string, till it can't.
- * If its not able to trim, then it will try to skip a char at end and then trim, a few times.
- * This ensures that even if there are multiple runs of garbage with different patterns, the
- * logic still tries to munch through them.
- *
- * @param {string} sIn
- * @param {number} maxSubL
- * @param {number | undefined} [maxMatchLenThreshold]
- */
-export function trim_repeat_garbage_at_end_loop(sIn, maxSubL, maxMatchLenThreshold, skipMax=16) {
-    let sCur = sIn;
-    let sSaved = "";
-    let iTry = 0;
-    while(true) {
-        let got = trim_repeat_garbage_at_end(sCur, maxSubL, maxMatchLenThreshold);
-        if (got.trimmed != true) {
-            if (iTry == 0) {
-                sSaved = got.data;
-            }
-            iTry += 1;
-            if (iTry >= skipMax) {
-                return sSaved;
-            }
-            got.data = got.data.substring(0,got.data.length-1);
-        } else {
-            iTry = 0;
-        }
-        sCur = got.data;
-    }
-}
-
-
-/**
- * A simple minded try trim garbage at end using histogram driven characteristics.
- * There can be variation in the repeatations, as long as no new char props up.
- *
- * This tracks the chars and their frequency in a specified length of substring at the end
- * and inturn checks if moving further into the generated text from the end remains within
- * the same char subset or goes beyond it and based on that either trims the string at the
- * end or not. This allows to filter garbage at the end, including even if there are certain
- * kind of small variations in the repeated text wrt position of seen chars.
- *
- * Allow the garbage to contain upto maxUniq chars, but at the same time ensure that
- * a given type of char ie numerals or alphabets or other types dont cross the specified
- * maxType limit. This allows intermixed text garbage to be identified and trimmed.
- *
- * ALERT: This is not perfect and only provides a rough garbage identification logic.
- * Also it currently only differentiates between character classes wrt english.
- *
- * @param {string} sIn
- * @param {number} maxType
- * @param {number} maxUniq
- * @param {number} maxMatchLenThreshold
- */
-export function trim_hist_garbage_at_end(sIn, maxType, maxUniq, maxMatchLenThreshold) {
-    if (sIn.length < maxMatchLenThreshold) {
-        return { trimmed: false, data: sIn };
-    }
-    let iAlp = 0;
-    let iNum = 0;
-    let iOth = 0;
-    // Learn
-    let hist = {};
-    let iUniq = 0;
-    for(let i=0; i<maxMatchLenThreshold; i++) {
-        let c = sIn[sIn.length-1-i];
-        if (c in hist) {
-            hist[c] += 1;
-        } else {
-            if(c.match(/[0-9]/) != null) {
-                iNum += 1;
-            } else if(c.match(/[A-Za-z]/) != null) {
-                iAlp += 1;
-            } else {
-                iOth += 1;
-            }
-            iUniq += 1;
-            if (iUniq >= maxUniq) {
-                break;
-            }
-            hist[c] = 1;
-        }
-    }
-    console.debug("DBUG:TrimHistGarbage:", hist);
-    if ((iAlp > maxType) || (iNum > maxType) || (iOth > maxType)) {
-        return { trimmed: false, data: sIn };
-    }
-    // Catch and Trim
-    for(let i=0; i < sIn.length; i++) {
-        let c = sIn[sIn.length-1-i];
-        if (!(c in hist)) {
-            if (i < maxMatchLenThreshold) {
-                return { trimmed: false, data: sIn };
-            }
-            console.debug("DBUG:TrimHistGarbage:TrimmedCharLen:", i);
-            return { trimmed: true, data: sIn.substring(0, sIn.length-i+1) };
-        }
-    }
-    console.debug("DBUG:TrimHistGarbage:Trimmed fully");
-    return { trimmed: true, data: "" };
-}
-
-/**
- * Keep trimming repeatedly using hist_garbage logic, till you no longer can.
- * This ensures that even if there are multiple runs of garbage with different patterns,
- * the logic still tries to munch through them.
- *
- * @param {any} sIn
- * @param {number} maxType
- * @param {number} maxUniq
- * @param {number} maxMatchLenThreshold
- */
-export function trim_hist_garbage_at_end_loop(sIn, maxType, maxUniq, maxMatchLenThreshold) {
-    let sCur = sIn;
-    while (true) {
-        let got = trim_hist_garbage_at_end(sCur, maxType, maxUniq, maxMatchLenThreshold);
-        if (!got.trimmed) {
-            return got.data;
-        }
-        sCur = got.data;
-    }
-}
-
-/**
- * Try trim garbage at the end by using both the hist-driven-garbage-trimming as well as
- * skip-a-bit-if-reqd-then-repeat-pattern-based-garbage-trimming, with blind retrying.
- * @param {string} sIn
- */
-export function trim_garbage_at_end(sIn) {
-    let sCur = sIn;
-    for(let i=0; i<2; i++) {
-        sCur = trim_hist_garbage_at_end_loop(sCur, 8, 24, 72);
-        sCur = trim_repeat_garbage_at_end_loop(sCur, 32, 72, 12);
-    }
-    return sCur;
-}
-
-
-/**
- * NewLines array helper.
- * Allow for maintaining a list of lines.
- * Allow for a line to be builtup/appended part by part.
- */
-export class NewLines {
-
-    constructor() {
-        /** @type {string[]} */
-        this.lines = [];
-    }
-
-    /**
-     * Extracts lines from the passed string and inturn either
-     * append to a previous partial line or add a new line.
-     * @param {string} sLines
-     */
-    add_append(sLines) {
-        let aLines = sLines.split("\n");
-        let lCnt = 0;
-        for(let line of aLines) {
-            lCnt += 1;
-            // Add back newline removed if any during split
-            if (lCnt < aLines.length) {
-                line += "\n";
-            } else {
-                if (sLines.endsWith("\n")) {
-                    line += "\n";
-                }
-            }
-            // Append if required
-            if (lCnt == 1) {
-                let lastLine = this.lines[this.lines.length-1];
-                if (lastLine != undefined) {
-                    if (!lastLine.endsWith("\n")) {
-                        this.lines[this.lines.length-1] += line;
-                        continue;
-                    }
-                }
-            }
-            // Add new line
-            this.lines.push(line);
-        }
-    }
-
-    /**
-     * Shift the oldest/earliest/0th line in the array. [Old-New|Earliest-Latest]
-     * Optionally control whether only full lines (ie those with newline at end) will be returned
-     * or will a partial line without a newline at end (can only be the last line) be returned.
-     * @param {boolean} bFullWithNewLineOnly
-     */
-    shift(bFullWithNewLineOnly=true) {
-        let line = this.lines[0];
-        if (line == undefined) {
-            return undefined;
-        }
-        if ((line[line.length-1] != "\n") && bFullWithNewLineOnly){
-            return undefined;
-        }
-        return this.lines.shift();
-    }
-
-}
diff --git a/tools/server/public_simplechat/index.html b/tools/server/public_simplechat/index.html
deleted file mode 100644
index f6413016f..000000000
--- a/tools/server/public_simplechat/index.html
+++ /dev/null
@@ -1,51 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-    <head>
-        <title>SimpleChat LlamaCppEtal </title>
-        <meta charset="UTF-8" />
-        <meta name="viewport" content="width=device-width, initial-scale=1" />
-        <meta name="message" content="Save Nature Save Earth" />
-        <meta name="description" content="SimpleChat: trigger LLM web service endpoints /chat/completions and /completions, single/multi chat sessions" />
-        <meta name="author" content="by Humans for All" />
-        <meta http-equiv="Cache-Control" content="no-cache, no-store, must-revalidate" />
-        <script type="importmap">
-            {
-                "imports": {
-                    "datautils": "./datautils.mjs",
-                    "ui": "./ui.mjs"
-                }
-            }
-        </script>
-        <script src="simplechat.js" type="module" defer></script>
-        <link rel="stylesheet" href="simplechat.css" />
-    </head>
-    <body>
-        <div class="samecolumn" id="fullbody">
-
-            <div class="sameline" id="heading">
-                <p class="heading flex-grow" > <b> SimpleChat </b> </p>
-                <button id="settings">Settings</button>
-            </div>
-
-            <div id="sessions-div" class="sameline"></div>
-
-            <hr>
-            <div class="sameline">
-                <label for="system-in">System</label>
-                <textarea name="system" id="system-in" rows="2" placeholder="e.g. you are a helpful ai assistant, who provides concise answers" class="flex-grow"></textarea>
-            </div>
-
-            <hr>
-            <div id="chat-div">
-                <p> You need to have javascript enabled.</p>
-            </div>
-
-            <hr>
-            <div class="sameline">
-                <textarea id="user-in" class="flex-grow" rows="2" placeholder="enter your query to the ai model here" ></textarea>
-                <button id="user-btn">submit</button>
-            </div>
-
-        </div>
-    </body>
-</html>
diff --git a/tools/server/public_simplechat/readme.md b/tools/server/public_simplechat/readme.md
deleted file mode 100644
index cc86d6249..000000000
--- a/tools/server/public_simplechat/readme.md
+++ /dev/null
@@ -1,286 +0,0 @@
-
-# SimpleChat
-
-by Humans for All.
-
-## quickstart
-
-To run from the build dir
-
-bin/llama-server -m path/model.gguf --path ../tools/server/public_simplechat
-
-Continue reading for the details.
-
-## overview
-
-This simple web frontend, allows triggering/testing the server's /completions or /chat/completions endpoints
-in a simple way with minimal code from a common code base. Inturn additionally it tries to allow single or
-multiple independent back and forth chatting to an extent, with the ai llm model at a basic level, with their
-own system prompts.
-
-This allows seeing the generated text / ai-model response in oneshot at the end, after it is fully generated,
-or potentially as it is being generated, in a streamed manner from the server/ai-model.
-
-![Chat and Settings screens](./simplechat_screens.webp "Chat and Settings screens")
-
-Auto saves the chat session locally as and when the chat is progressing and inturn at a later time when you
-open SimpleChat, option is provided to restore the old chat session, if a matching one exists.
-
-The UI follows a responsive web design so that the layout can adapt to available display space in a usable
-enough manner, in general.
-
-Allows developer/end-user to control some of the behaviour by updating gMe members from browser's devel-tool
-console. Parallelly some of the directly useful to end-user settings can also be changed using the provided
-settings ui.
-
-NOTE: Current web service api doesnt expose the model context length directly, so client logic doesnt provide
-any adaptive culling of old messages nor of replacing them with summary of their content etal. However there
-is a optional sliding window based chat logic, which provides a simple minded culling of old messages from
-the chat history before sending to the ai model.
-
-NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionally stream for now.
-However if someone wants they can update the js file or equivalent member in gMe as needed.
-
-NOTE: One may be able to use this to chat with openai api web-service /chat/completions endpoint, in a very
-limited / minimal way. One will need to set model, openai url and authorization bearer key in settings ui.
-
-
-## usage
-
-One could run this web frontend directly using server itself or if anyone is thinking of adding a built in web
-frontend to configure the server over http(s) or so, then run this web frontend using something like python's
-http module.
-
-### running using tools/server
-
-./llama-server -m path/model.gguf --path tools/server/public_simplechat [--port PORT]
-
-### running using python3's server module
-
-first run tools/server
-* ./llama-server -m path/model.gguf
-
-next run this web front end in tools/server/public_simplechat
-* cd ../tools/server/public_simplechat
-* python3 -m http.server PORT
-
-### using the front end
-
-Open this simple web front end from your local browser
-
-* http://127.0.0.1:PORT/index.html
-
-Once inside
-
-* If you want to, you can change many of the default global settings
-  * the base url (ie ip addr / domain name, port)
-  * chat (default) vs completion mode
-  * try trim garbage in response or not
-  * amount of chat history in the context sent to server/ai-model
-  * oneshot or streamed mode.
-
-* In completion mode
-  * one normally doesnt use a system prompt in completion mode.
-  * logic by default doesnt insert any role specific "ROLE: " prefix wrt each role's message.
-    If the model requires any prefix wrt user role messages, then the end user has to
-    explicitly add the needed prefix, when they enter their chat message.
-    Similarly if the model requires any prefix to trigger assistant/ai-model response,
-    then the end user needs to enter the same.
-    This keeps the logic simple, while still giving flexibility to the end user to
-    manage any templating/tagging requirement wrt their messages to the model.
-  * the logic doesnt insert newline at the beginning and end wrt the prompt message generated.
-    However if the chat being sent to /completions end point has more than one role's message,
-    then insert newline when moving from one role's message to the next role's message, so
-    that it can be clearly identified/distinguished.
-  * given that /completions endpoint normally doesnt add additional chat-templating of its
-    own, the above ensures that end user can create a custom single/multi message combo with
-    any tags/special-tokens related chat templating to test out model handshake. Or enduser
-    can use it just for normal completion related/based query.
-
-* If you want to provide a system prompt, then ideally enter it first, before entering any user query.
-  Normally Completion mode doesnt need system prompt, while Chat mode can generate better/interesting
-  responses with a suitable system prompt.
-  * if chat.add_system_begin is used
-    * you can't change the system prompt, after it is has been submitted once along with user query.
-    * you can't set a system prompt, after you have submitted any user query
-  * if chat.add_system_anytime is used
-    * one can change the system prompt any time during chat, by changing the contents of system prompt.
-    * inturn the updated/changed system prompt will be inserted into the chat session.
-    * this allows for the subsequent user chatting to be driven by the new system prompt set above.
-
-* Enter your query and either press enter or click on the submit button.
-  If you want to insert enter (\n) as part of your chat/query to ai model, use shift+enter.
-
-* Wait for the logic to communicate with the server and get the response.
-  * the user is not allowed to enter any fresh query during this time.
-  * the user input box will be disabled and a working message will be shown in it.
-  * if trim garbage is enabled, the logic will try to trim repeating text kind of garbage to some extent.
-
-* just refresh the page, to reset wrt the chat history and or system prompt and start afresh.
-
-* Using NewChat one can start independent chat sessions.
-  * two independent chat sessions are setup by default.
-
-* When you want to print, switching ChatHistoryInCtxt to Full and clicking on the chat session button of
-  interest, will display the full chat history till then wrt same, if you want full history for printing.
-
-
-## Devel note
-
-### Reason behind this
-
-The idea is to be easy enough to use for basic purposes, while also being simple and easily discernible
-by developers who may not be from web frontend background (so inturn may not be familiar with template /
-end-use-specific-language-extensions driven flows) so that they can use it to explore/experiment things.
-
-And given that the idea is also to help explore/experiment for developers, some flexibility is provided
-to change behaviour easily using the devel-tools/console or provided minimal settings ui (wrt few aspects).
-Skeletal logic has been implemented to explore some of the end points and ideas/implications around them.
-
-
-### General
-
-Me/gMe consolidates the settings which control the behaviour into one object.
-One can see the current settings, as well as change/update them using browsers devel-tool/console.
-It is attached to the document object. Some of these can also be updated using the Settings UI.
-
-  baseURL - the domain-name/ip-address and inturn the port to send the request.
-
-  bStream - control between oneshot-at-end and live-stream-as-its-generated collating and showing
-  of the generated response.
-
-    the logic assumes that the text sent from the server follows utf-8 encoding.
-
-    in streaming mode - if there is any exception, the logic traps the same and tries to ensure
-    that text generated till then is not lost.
-
-      if a very long text is being generated, which leads to no user interaction for sometime and
-      inturn the machine goes into power saving mode or so, the platform may stop network connection,
-      leading to exception.
-
-  apiEP - select between /completions and /chat/completions endpoint provided by the server/ai-model.
-
-  bCompletionFreshChatAlways - whether Completion mode collates complete/sliding-window history when
-  communicating with the server or only sends the latest user query/message.
-
-  bCompletionInsertStandardRolePrefix - whether Completion mode inserts role related prefix wrt the
-  messages that get inserted into prompt field wrt /Completion endpoint.
-
-  bTrimGarbage - whether garbage repeatation at the end of the generated ai response, should be
-  trimmed or left as is. If enabled, it will be trimmed so that it won't be sent back as part of
-  subsequent chat history. At the same time the actual trimmed text is shown to the user, once
-  when it was generated, so user can check if any useful info/data was there in the response.
-
-    One may be able to request the ai-model to continue (wrt the last response) (if chat-history
-    is enabled as part of the chat-history-in-context setting), and chances are the ai-model will
-    continue starting from the trimmed part, thus allows long response to be recovered/continued
-    indirectly, in many cases.
-
-    The histogram/freq based trimming logic is currently tuned for english language wrt its
-    is-it-a-alpabetic|numeral-char regex match logic.
-
-  apiRequestOptions - maintains the list of options/fields to send along with api request,
-  irrespective of whether /chat/completions or /completions endpoint.
-
-    If you want to add additional options/fields to send to the server/ai-model, and or
-    modify the existing options value or remove them, for now you can update this global var
-    using browser's development-tools/console.
-
-    For string, numeric and boolean fields in apiRequestOptions, including even those added by a
-    user at runtime by directly modifying gMe.apiRequestOptions, setting ui entries will be auto
-    created.
-
-    cache_prompt option supported by example/server is allowed to be controlled by user, so that
-    any caching supported wrt system-prompt and chat history, if usable can get used. When chat
-    history sliding window is enabled, cache_prompt logic may or may not kick in at the backend
-    wrt same, based on aspects related to model, positional encoding, attention mechanism etal.
-    However system prompt should ideally get the benefit of caching.
-
-  headers - maintains the list of http headers sent when request is made to the server. By default
-  Content-Type is set to application/json. Additionally Authorization entry is provided, which can
-  be set if needed using the settings ui.
-
-  iRecentUserMsgCnt - a simple minded SlidingWindow to limit context window load at Ai Model end.
-  This is disabled by default. However if enabled, then in addition to latest system message, only
-  the last/latest iRecentUserMsgCnt user messages after the latest system prompt and its responses
-  from the ai model will be sent to the ai-model, when querying for a new response. IE if enabled,
-  only user messages after the latest system message/prompt will be considered.
-
-    This specified sliding window user message count also includes the latest user query.
-    <0 : Send entire chat history to server
-     0 : Send only the system message if any to the server
-    >0 : Send the latest chat history from the latest system prompt, limited to specified cnt.
-
-
-By using gMe's iRecentUserMsgCnt and apiRequestOptions.max_tokens/n_predict one can try to control
-the implications of loading of the ai-model's context window by chat history, wrt chat response to
-some extent in a simple crude way. You may also want to control the context size enabled when the
-server loads ai-model, on the server end.
-
-
-Sometimes the browser may be stuborn with caching of the file, so your updates to html/css/js
-may not be visible. Also remember that just refreshing/reloading page in browser or for that
-matter clearing site data, dont directly override site caching in all cases. Worst case you may
-have to change port. Or in dev tools of browser, you may be able to disable caching fully.
-
-
-Currently the server to communicate with is maintained globally and not as part of a specific
-chat session. So if one changes the server ip/url in setting, then all chat sessions will auto
-switch to this new server, when you try using those sessions.
-
-
-By switching between chat.add_system_begin/anytime, one can control whether one can change
-the system prompt, anytime during the conversation or only at the beginning.
-
-
-### Default setup
-
-By default things are setup to try and make the user experience a bit better, if possible.
-However a developer when testing the server of ai-model may want to change these value.
-
-Using iRecentUserMsgCnt reduce chat history context sent to the server/ai-model to be
-just the system-prompt, prev-user-request-and-ai-response and cur-user-request, instead of
-full chat history. This way if there is any response with garbage/repeatation, it doesnt
-mess with things beyond the next question/request/query, in some ways. The trim garbage
-option also tries to help avoid issues with garbage in the context to an extent.
-
-Set max_tokens to 1024, so that a relatively large previous response doesnt eat up the space
-available wrt next query-response. However dont forget that the server when started should
-also be started with a model context size of 1k or more, to be on safe side.
-
-  The /completions endpoint of tools/server doesnt take max_tokens, instead it takes the
-  internal n_predict, for now add the same here on the client side, maybe later add max_tokens
-  to /completions endpoint handling code on server side.
-
-NOTE: One may want to experiment with frequency/presence penalty fields in apiRequestOptions
-wrt the set of fields sent to server along with the user query, to check how the model behaves
-wrt repeatations in general in the generated text response.
-
-A end-user can change these behaviour by editing gMe from browser's devel-tool/console or by
-using the provided settings ui (for settings exposed through the ui).
-
-
-### OpenAi / Equivalent API WebService
-
-One may be abe to handshake with OpenAI/Equivalent api web service's /chat/completions endpoint
-for a minimal chatting experimentation by setting the below.
-
-* the baseUrl in settings ui
-  * https://api.openai.com/v1 or similar
-
-* Wrt request body - gMe.apiRequestOptions
-  * model (settings ui)
-  * any additional fields if required in future
-
-* Wrt request headers - gMe.headers
-  * Authorization (available through settings ui)
-    * Bearer THE_OPENAI_API_KEY
-  * any additional optional header entries like "OpenAI-Organization", "OpenAI-Project" or so
-
-NOTE: Not tested, as there is no free tier api testing available. However logically this might
-work.
-
-
-## At the end
-
-Also a thank you to all open source and open model developers, who strive for the common good.
diff --git a/tools/server/public_simplechat/simplechat.css b/tools/server/public_simplechat/simplechat.css
deleted file mode 100644
index 13bfb80b4..000000000
--- a/tools/server/public_simplechat/simplechat.css
+++ /dev/null
@@ -1,79 +0,0 @@
-/**
- * the styling of the simplechat web frontend
- * by Humans for All
- */
-
-#fullbody {
-    height: 98vh;
-}
-
-.heading {
-    background-color: lightgray;
-}
-
-.session-selected {
-    background-color: lightblue;
-}
-
-.role-system {
-    background-color: lightblue;
-}
-.role-user {
-    background-color: lightgray;
-}
-.role-trim {
-    background-color: lightpink;
-}
-
-.gridx2 {
-    display: grid;
-    grid-template-columns: repeat(2, 1fr);
-    border-bottom-style: dotted;
-    border-bottom-width: thin;
-    border-bottom-color: lightblue;
-}
-
-.flex-grow {
-    flex-grow: 1;
-}
-.float-right {
-    float: right;
-}
-
-#chat-div {
-    overflow: scroll;
-    flex-grow: 1;
-    flex-shrink: 1;
-    min-height: 40vh;
-}
-button {
-    min-width: 8vw;
-}
-
-.sameline {
-    display: flex;
-    flex-direction: row;
-}
-.samecolumn {
-    display: flex;
-    flex-direction: column;
-}
-
-.ul1 {
-    padding-inline-start: 2vw;
-}
-.ul2 {
-    padding-inline-start: 2vw;
-}
-
-* {
-    margin: 0.6vmin;
-}
-
-@media print {
-
-    #fullbody {
-        height: auto;
-    }
-
-}
diff --git a/tools/server/public_simplechat/simplechat.js b/tools/server/public_simplechat/simplechat.js
deleted file mode 100644
index c67577d5a..000000000
--- a/tools/server/public_simplechat/simplechat.js
+++ /dev/null
@@ -1,929 +0,0 @@
-// @ts-check
-// A simple completions and chat/completions test related web front end logic
-// by Humans for All
-
-import * as du from "./datautils.mjs";
-import * as ui from "./ui.mjs"
-
-class Roles {
-    static System = "system";
-    static User = "user";
-    static Assistant = "assistant";
-}
-
-class ApiEP {
-    static Type = {
-        Chat: "chat",
-        Completion: "completion",
-    }
-    static UrlSuffix = {
-        'chat': `/chat/completions`,
-        'completion': `/completions`,
-    }
-
-    /**
-     * Build the url from given baseUrl and apiEp id.
-     * @param {string} baseUrl
-     * @param {string} apiEP
-     */
-    static Url(baseUrl, apiEP) {
-        if (baseUrl.endsWith("/")) {
-            baseUrl = baseUrl.substring(0, baseUrl.length-1);
-        }
-        return `${baseUrl}${this.UrlSuffix[apiEP]}`;
-    }
-
-}
-
-
-let gUsageMsg = `
-    <p class="role-system">Usage</p>
-    <ul class="ul1">
-    <li> System prompt above, to try control ai response characteristics.</li>
-        <ul class="ul2">
-        <li> Completion mode - no system prompt normally.</li>
-        </ul>
-    <li> Use shift+enter for inserting enter/newline.</li>
-    <li> Enter your query to ai assistant below.</li>
-    <li> Default ContextWindow = [System, Last Query+Resp, Cur Query].</li>
-        <ul class="ul2">
-        <li> ChatHistInCtxt, MaxTokens, ModelCtxt window to expand</li>
-        </ul>
-    </ul>
-`;
-
-
-/** @typedef {{role: string, content: string}[]} ChatMessages */
-
-/** @typedef {{iLastSys: number, xchat: ChatMessages}} SimpleChatODS */
-
-class SimpleChat {
-
-    /**
-     * @param {string} chatId
-     */
-    constructor(chatId) {
-        this.chatId = chatId;
-        /**
-         * Maintain in a form suitable for common LLM web service chat/completions' messages entry
-         * @type {ChatMessages}
-         */
-        this.xchat = [];
-        this.iLastSys = -1;
-        this.latestResponse = "";
-    }
-
-    clear() {
-        this.xchat = [];
-        this.iLastSys = -1;
-    }
-
-    ods_key() {
-        return `SimpleChat-${this.chatId}`
-    }
-
-    save() {
-        /** @type {SimpleChatODS} */
-        let ods = {iLastSys: this.iLastSys, xchat: this.xchat};
-        localStorage.setItem(this.ods_key(), JSON.stringify(ods));
-    }
-
-    load() {
-        let sods = localStorage.getItem(this.ods_key());
-        if (sods == null) {
-            return;
-        }
-        /** @type {SimpleChatODS} */
-        let ods = JSON.parse(sods);
-        this.iLastSys = ods.iLastSys;
-        this.xchat = ods.xchat;
-    }
-
-    /**
-     * Recent chat messages.
-     * If iRecentUserMsgCnt < 0
-     *   Then return the full chat history
-     * Else
-     *   Return chat messages from latest going back till the last/latest system prompt.
-     *   While keeping track that the number of user queries/messages doesnt exceed iRecentUserMsgCnt.
-     * @param {number} iRecentUserMsgCnt
-     */
-    recent_chat(iRecentUserMsgCnt) {
-        if (iRecentUserMsgCnt < 0) {
-            return this.xchat;
-        }
-        if (iRecentUserMsgCnt == 0) {
-            console.warn("WARN:SimpleChat:SC:RecentChat:iRecentUsermsgCnt of 0 means no user message/query sent");
-        }
-        /** @type{ChatMessages} */
-        let rchat = [];
-        let sysMsg = this.get_system_latest();
-        if (sysMsg.length != 0) {
-            rchat.push({role: Roles.System, content: sysMsg});
-        }
-        let iUserCnt = 0;
-        let iStart = this.xchat.length;
-        for(let i=this.xchat.length-1; i > this.iLastSys; i--) {
-            if (iUserCnt >= iRecentUserMsgCnt) {
-                break;
-            }
-            let msg = this.xchat[i];
-            if (msg.role == Roles.User) {
-                iStart = i;
-                iUserCnt += 1;
-            }
-        }
-        for(let i = iStart; i < this.xchat.length; i++) {
-            let msg = this.xchat[i];
-            if (msg.role == Roles.System) {
-                continue;
-            }
-            rchat.push({role: msg.role, content: msg.content});
-        }
-        return rchat;
-    }
-
-    /**
-     * Collate the latest response from the server/ai-model, as it is becoming available.
-     * This is mainly useful for the stream mode.
-     * @param {string} content
-     */
-    append_response(content) {
-        this.latestResponse += content;
-    }
-
-    /**
-     * Add an entry into xchat
-     * @param {string} role
-     * @param {string|undefined|null} content
-     */
-    add(role, content) {
-        if ((content == undefined) || (content == null) || (content == "")) {
-            return false;
-        }
-        this.xchat.push( {role: role, content: content} );
-        if (role == Roles.System) {
-            this.iLastSys = this.xchat.length - 1;
-        }
-        this.save();
-        return true;
-    }
-
-    /**
-     * Show the contents in the specified div
-     * @param {HTMLDivElement} div
-     * @param {boolean} bClear
-     */
-    show(div, bClear=true) {
-        if (bClear) {
-            div.replaceChildren();
-        }
-        let last = undefined;
-        for(const x of this.recent_chat(gMe.iRecentUserMsgCnt)) {
-            let entry = ui.el_create_append_p(`${x.role}: ${x.content}`, div);
-            entry.className = `role-${x.role}`;
-            last = entry;
-        }
-        if (last !== undefined) {
-            last.scrollIntoView(false);
-        } else {
-            if (bClear) {
-                div.innerHTML = gUsageMsg;
-                gMe.setup_load(div, this);
-                gMe.show_info(div);
-            }
-        }
-        return last;
-    }
-
-    /**
-     * Setup the fetch headers.
-     * It picks the headers from gMe.headers.
-     * It inserts Authorization only if its non-empty.
-     * @param {string} apiEP
-     */
-    fetch_headers(apiEP) {
-        let headers = new Headers();
-        for(let k in gMe.headers) {
-            let v = gMe.headers[k];
-            if ((k == "Authorization") && (v.trim() == "")) {
-                continue;
-            }
-            headers.append(k, v);
-        }
-        return headers;
-    }
-
-    /**
-     * Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
-     * The needed fields/options are picked from a global object.
-     * Add optional stream flag, if required.
-     * Convert the json into string.
-     * @param {Object} obj
-     */
-    request_jsonstr_extend(obj) {
-        for(let k in gMe.apiRequestOptions) {
-            obj[k] = gMe.apiRequestOptions[k];
-        }
-        if (gMe.bStream) {
-            obj["stream"] = true;
-        }
-        return JSON.stringify(obj);
-    }
-
-    /**
-     * Return a string form of json object suitable for chat/completions
-     */
-    request_messages_jsonstr() {
-        let req = {
-            messages: this.recent_chat(gMe.iRecentUserMsgCnt),
-        }
-        return this.request_jsonstr_extend(req);
-    }
-
-    /**
-     * Return a string form of json object suitable for /completions
-     * @param {boolean} bInsertStandardRolePrefix Insert "<THE_ROLE>: " as prefix wrt each role's message
-     */
-    request_prompt_jsonstr(bInsertStandardRolePrefix) {
-        let prompt = "";
-        let iCnt = 0;
-        for(const chat of this.recent_chat(gMe.iRecentUserMsgCnt)) {
-            iCnt += 1;
-            if (iCnt > 1) {
-                prompt += "\n";
-            }
-            if (bInsertStandardRolePrefix) {
-                prompt += `${chat.role}: `;
-            }
-            prompt += `${chat.content}`;
-        }
-        let req = {
-            prompt: prompt,
-        }
-        return this.request_jsonstr_extend(req);
-    }
-
-    /**
-     * Return a string form of json object suitable for specified api endpoint.
-     * @param {string} apiEP
-     */
-    request_jsonstr(apiEP) {
-        if (apiEP == ApiEP.Type.Chat) {
-            return this.request_messages_jsonstr();
-        } else {
-            return this.request_prompt_jsonstr(gMe.bCompletionInsertStandardRolePrefix);
-        }
-    }
-
-    /**
-     * Extract the ai-model/assistant's response from the http response got.
-     * Optionally trim the message wrt any garbage at the end.
-     * @param {any} respBody
-     * @param {string} apiEP
-     */
-    response_extract(respBody, apiEP) {
-        let assistant = "";
-        if (apiEP == ApiEP.Type.Chat) {
-            assistant = respBody["choices"][0]["message"]["content"];
-        } else {
-            try {
-                assistant = respBody["choices"][0]["text"];
-            } catch {
-                assistant = respBody["content"];
-            }
-        }
-        return assistant;
-    }
-
-    /**
-     * Extract the ai-model/assistant's response from the http response got in streaming mode.
-     * @param {any} respBody
-     * @param {string} apiEP
-     */
-    response_extract_stream(respBody, apiEP) {
-        let assistant = "";
-        if (apiEP == ApiEP.Type.Chat) {
-            if (respBody["choices"][0]["finish_reason"] !== "stop") {
-                assistant = respBody["choices"][0]["delta"]["content"];
-            }
-        } else {
-            try {
-                assistant = respBody["choices"][0]["text"];
-            } catch {
-                assistant = respBody["content"];
-            }
-        }
-        return assistant;
-    }
-
-    /**
-     * Allow setting of system prompt, but only at beginning.
-     * @param {string} sysPrompt
-     * @param {string} msgTag
-     */
-    add_system_begin(sysPrompt, msgTag) {
-        if (this.xchat.length == 0) {
-            if (sysPrompt.length > 0) {
-                return this.add(Roles.System, sysPrompt);
-            }
-        } else {
-            if (sysPrompt.length > 0) {
-                if (this.xchat[0].role !== Roles.System) {
-                    console.error(`ERRR:SimpleChat:SC:${msgTag}:You need to specify system prompt before any user query, ignoring...`);
-                } else {
-                    if (this.xchat[0].content !== sysPrompt) {
-                        console.error(`ERRR:SimpleChat:SC:${msgTag}:You can't change system prompt, mid way through, ignoring...`);
-                    }
-                }
-            }
-        }
-        return false;
-    }
-
-    /**
-     * Allow setting of system prompt, at any time.
-     * @param {string} sysPrompt
-     * @param {string} msgTag
-     */
-    add_system_anytime(sysPrompt, msgTag) {
-        if (sysPrompt.length <= 0) {
-            return false;
-        }
-
-        if (this.iLastSys < 0) {
-            return this.add(Roles.System, sysPrompt);
-        }
-
-        let lastSys = this.xchat[this.iLastSys].content;
-        if (lastSys !== sysPrompt) {
-            return this.add(Roles.System, sysPrompt);
-        }
-        return false;
-    }
-
-    /**
-     * Retrieve the latest system prompt.
-     */
-    get_system_latest() {
-        if (this.iLastSys == -1) {
-            return "";
-        }
-        let sysPrompt = this.xchat[this.iLastSys].content;
-        return sysPrompt;
-    }
-
-
-    /**
-     * Handle the multipart response from server/ai-model
-     * @param {Response} resp
-     * @param {string} apiEP
-     * @param {HTMLDivElement} elDiv
-     */
-    async handle_response_multipart(resp, apiEP, elDiv) {
-        let elP = ui.el_create_append_p("", elDiv);
-        if (!resp.body) {
-            throw Error("ERRR:SimpleChat:SC:HandleResponseMultiPart:No body...");
-        }
-        let tdUtf8 = new TextDecoder("utf-8");
-        let rr = resp.body.getReader();
-        this.latestResponse = "";
-        let xLines = new du.NewLines();
-        while(true) {
-            let { value: cur,  done: done } = await rr.read();
-            if (cur) {
-                let curBody = tdUtf8.decode(cur, {stream: true});
-                console.debug("DBUG:SC:PART:Str:", curBody);
-                xLines.add_append(curBody);
-            }
-            while(true) {
-                let curLine = xLines.shift(!done);
-                if (curLine == undefined) {
-                    break;
-                }
-                if (curLine.trim() == "") {
-                    continue;
-                }
-                if (curLine.startsWith("data:")) {
-                    curLine = curLine.substring(5);
-                }
-                if (curLine.trim() === "[DONE]") {
-                    break;
-                }
-                let curJson = JSON.parse(curLine);
-                console.debug("DBUG:SC:PART:Json:", curJson);
-                this.append_response(this.response_extract_stream(curJson, apiEP));
-            }
-            elP.innerText = this.latestResponse;
-            elP.scrollIntoView(false);
-            if (done) {
-                break;
-            }
-        }
-        console.debug("DBUG:SC:PART:Full:", this.latestResponse);
-        return this.latestResponse;
-    }
-
-    /**
-     * Handle the oneshot response from server/ai-model
-     * @param {Response} resp
-     * @param {string} apiEP
-     */
-    async handle_response_oneshot(resp, apiEP) {
-        let respBody = await resp.json();
-        console.debug(`DBUG:SimpleChat:SC:${this.chatId}:HandleUserSubmit:RespBody:${JSON.stringify(respBody)}`);
-        return this.response_extract(respBody, apiEP);
-    }
-
-    /**
-     * Handle the response from the server be it in oneshot or multipart/stream mode.
-     * Also take care of the optional garbage trimming.
-     * @param {Response} resp
-     * @param {string} apiEP
-     * @param {HTMLDivElement} elDiv
-     */
-    async handle_response(resp, apiEP, elDiv) {
-        let theResp = {
-            assistant: "",
-            trimmed: "",
-        }
-        if (gMe.bStream) {
-            try {
-                theResp.assistant = await this.handle_response_multipart(resp, apiEP, elDiv);
-                this.latestResponse = "";
-            } catch (error) {
-                theResp.assistant = this.latestResponse;
-                this.add(Roles.Assistant, theResp.assistant);
-                this.latestResponse = "";
-                throw error;
-            }
-        } else {
-            theResp.assistant = await this.handle_response_oneshot(resp, apiEP);
-        }
-        if (gMe.bTrimGarbage) {
-            let origMsg = theResp.assistant;
-            theResp.assistant = du.trim_garbage_at_end(origMsg);
-            theResp.trimmed = origMsg.substring(theResp.assistant.length);
-        }
-        this.add(Roles.Assistant, theResp.assistant);
-        return theResp;
-    }
-
-}
-
-
-class MultiChatUI {
-
-    constructor() {
-        /** @type {Object<string, SimpleChat>} */
-        this.simpleChats = {};
-        /** @type {string} */
-        this.curChatId = "";
-
-        // the ui elements
-        this.elInSystem = /** @type{HTMLInputElement} */(document.getElementById("system-in"));
-        this.elDivChat = /** @type{HTMLDivElement} */(document.getElementById("chat-div"));
-        this.elBtnUser = /** @type{HTMLButtonElement} */(document.getElementById("user-btn"));
-        this.elInUser = /** @type{HTMLInputElement} */(document.getElementById("user-in"));
-        this.elDivHeading = /** @type{HTMLSelectElement} */(document.getElementById("heading"));
-        this.elDivSessions = /** @type{HTMLDivElement} */(document.getElementById("sessions-div"));
-        this.elBtnSettings = /** @type{HTMLButtonElement} */(document.getElementById("settings"));
-
-        this.validate_element(this.elInSystem, "system-in");
-        this.validate_element(this.elDivChat, "chat-div");
-        this.validate_element(this.elInUser, "user-in");
-        this.validate_element(this.elDivHeading, "heading");
-        this.validate_element(this.elDivChat, "sessions-div");
-        this.validate_element(this.elBtnSettings, "settings");
-    }
-
-    /**
-     * Check if the element got
-     * @param {HTMLElement | null} el
-     * @param {string} msgTag
-     */
-    validate_element(el, msgTag) {
-        if (el == null) {
-            throw Error(`ERRR:SimpleChat:MCUI:${msgTag} element missing in html...`);
-        } else {
-            console.debug(`INFO:SimpleChat:MCUI:${msgTag} Id[${el.id}] Name[${el["name"]}]`);
-        }
-    }
-
-    /**
-     * Reset user input ui.
-     * * clear user input
-     * * enable user input
-     * * set focus to user input
-     */
-    ui_reset_userinput() {
-        this.elInUser.value = "";
-        this.elInUser.disabled = false;
-        this.elInUser.focus();
-    }
-
-    /**
-     * Setup the needed callbacks wrt UI, curChatId to defaultChatId and
-     * optionally switch to specified defaultChatId.
-     * @param {string} defaultChatId
-     * @param {boolean} bSwitchSession
-     */
-    setup_ui(defaultChatId, bSwitchSession=false) {
-
-        this.curChatId = defaultChatId;
-        if (bSwitchSession) {
-            this.handle_session_switch(this.curChatId);
-        }
-
-        this.elBtnSettings.addEventListener("click", (ev)=>{
-            this.elDivChat.replaceChildren();
-            gMe.show_settings(this.elDivChat);
-        });
-
-        this.elBtnUser.addEventListener("click", (ev)=>{
-            if (this.elInUser.disabled) {
-                return;
-            }
-            this.handle_user_submit(this.curChatId, gMe.apiEP).catch((/** @type{Error} */reason)=>{
-                let msg = `ERRR:SimpleChat\nMCUI:HandleUserSubmit:${this.curChatId}\n${reason.name}:${reason.message}`;
-                console.error(msg.replace("\n", ":"));
-                alert(msg);
-                this.ui_reset_userinput();
-            });
-        });
-
-        this.elInUser.addEventListener("keyup", (ev)=> {
-            // allow user to insert enter into their message using shift+enter.
-            // while just pressing enter key will lead to submitting.
-            if ((ev.key === "Enter") && (!ev.shiftKey)) {
-                let value = this.elInUser.value;
-                this.elInUser.value = value.substring(0,value.length-1);
-                this.elBtnUser.click();
-                ev.preventDefault();
-            }
-        });
-
-        this.elInSystem.addEventListener("keyup", (ev)=> {
-            // allow user to insert enter into the system prompt using shift+enter.
-            // while just pressing enter key will lead to setting the system prompt.
-            if ((ev.key === "Enter") && (!ev.shiftKey)) {
-                let value = this.elInSystem.value;
-                this.elInSystem.value = value.substring(0,value.length-1);
-                let chat = this.simpleChats[this.curChatId];
-                chat.add_system_anytime(this.elInSystem.value, this.curChatId);
-                chat.show(this.elDivChat);
-                ev.preventDefault();
-            }
-        });
-
-    }
-
-    /**
-     * Setup a new chat session and optionally switch to it.
-     * @param {string} chatId
-     * @param {boolean} bSwitchSession
-     */
-    new_chat_session(chatId, bSwitchSession=false) {
-        this.simpleChats[chatId] = new SimpleChat(chatId);
-        if (bSwitchSession) {
-            this.handle_session_switch(chatId);
-        }
-    }
-
-
-    /**
-     * Handle user query submit request, wrt specified chat session.
-     * @param {string} chatId
-     * @param {string} apiEP
-     */
-    async handle_user_submit(chatId, apiEP) {
-
-        let chat = this.simpleChats[chatId];
-
-        // In completion mode, if configured, clear any previous chat history.
-        // So if user wants to simulate a multi-chat based completion query,
-        // they will have to enter the full thing, as a suitable multiline
-        // user input/query.
-        if ((apiEP == ApiEP.Type.Completion) && (gMe.bCompletionFreshChatAlways)) {
-            chat.clear();
-        }
-
-        chat.add_system_anytime(this.elInSystem.value, chatId);
-
-        let content = this.elInUser.value;
-        if (!chat.add(Roles.User, content)) {
-            console.debug(`WARN:SimpleChat:MCUI:${chatId}:HandleUserSubmit:Ignoring empty user input...`);
-            return;
-        }
-        chat.show(this.elDivChat);
-
-        let theUrl = ApiEP.Url(gMe.baseURL, apiEP);
-        let theBody = chat.request_jsonstr(apiEP);
-
-        this.elInUser.value = "working...";
-        this.elInUser.disabled = true;
-        console.debug(`DBUG:SimpleChat:MCUI:${chatId}:HandleUserSubmit:${theUrl}:ReqBody:${theBody}`);
-        let theHeaders = chat.fetch_headers(apiEP);
-        let resp = await fetch(theUrl, {
-            method: "POST",
-            headers: theHeaders,
-            body: theBody,
-        });
-
-        let theResp = await chat.handle_response(resp, apiEP, this.elDivChat);
-        if (chatId == this.curChatId) {
-            chat.show(this.elDivChat);
-            if (theResp.trimmed.length > 0) {
-                let p = ui.el_create_append_p(`TRIMMED:${theResp.trimmed}`, this.elDivChat);
-                p.className="role-trim";
-            }
-        } else {
-            console.debug(`DBUG:SimpleChat:MCUI:HandleUserSubmit:ChatId has changed:[${chatId}] [${this.curChatId}]`);
-        }
-        this.ui_reset_userinput();
-    }
-
-    /**
-     * Show buttons for NewChat and available chat sessions, in the passed elDiv.
-     * If elDiv is undefined/null, then use this.elDivSessions.
-     * Take care of highlighting the selected chat-session's btn.
-     * @param {HTMLDivElement | undefined} elDiv
-     */
-    show_sessions(elDiv=undefined) {
-        if (!elDiv) {
-            elDiv = this.elDivSessions;
-        }
-        elDiv.replaceChildren();
-        // Btn for creating new chat session
-        let btnNew = ui.el_create_button("New CHAT", (ev)=> {
-            if (this.elInUser.disabled) {
-                console.error(`ERRR:SimpleChat:MCUI:NewChat:Current session [${this.curChatId}] awaiting response, ignoring request...`);
-                alert("ERRR:SimpleChat\nMCUI:NewChat\nWait for response to pending query, before starting new chat session");
-                return;
-            }
-            let chatId = `Chat${Object.keys(this.simpleChats).length}`;
-            let chatIdGot = prompt("INFO:SimpleChat\nMCUI:NewChat\nEnter id for new chat session", chatId);
-            if (!chatIdGot) {
-                console.error("ERRR:SimpleChat:MCUI:NewChat:Skipping based on user request...");
-                return;
-            }
-            this.new_chat_session(chatIdGot, true);
-            this.create_session_btn(elDiv, chatIdGot);
-            ui.el_children_config_class(elDiv, chatIdGot, "session-selected", "");
-        });
-        elDiv.appendChild(btnNew);
-        // Btns for existing chat sessions
-        let chatIds = Object.keys(this.simpleChats);
-        for(let cid of chatIds) {
-            let btn = this.create_session_btn(elDiv, cid);
-            if (cid == this.curChatId) {
-                btn.className = "session-selected";
-            }
-        }
-    }
-
-    create_session_btn(elDiv, cid) {
-        let btn = ui.el_create_button(cid, (ev)=>{
-            let target = /** @type{HTMLButtonElement} */(ev.target);
-            console.debug(`DBUG:SimpleChat:MCUI:SessionClick:${target.id}`);
-            if (this.elInUser.disabled) {
-                console.error(`ERRR:SimpleChat:MCUI:SessionClick:${target.id}:Current session [${this.curChatId}] awaiting response, ignoring switch...`);
-                alert("ERRR:SimpleChat\nMCUI:SessionClick\nWait for response to pending query, before switching");
-                return;
-            }
-            this.handle_session_switch(target.id);
-            ui.el_children_config_class(elDiv, target.id, "session-selected", "");
-        });
-        elDiv.appendChild(btn);
-        return btn;
-    }
-
-    /**
-     * Switch ui to the specified chatId and set curChatId to same.
-     * @param {string} chatId
-     */
-    async handle_session_switch(chatId) {
-        let chat = this.simpleChats[chatId];
-        if (chat == undefined) {
-            console.error(`ERRR:SimpleChat:MCUI:HandleSessionSwitch:${chatId} missing...`);
-            return;
-        }
-        this.elInSystem.value = chat.get_system_latest();
-        this.elInUser.value = "";
-        chat.show(this.elDivChat);
-        this.elInUser.focus();
-        this.curChatId = chatId;
-        console.log(`INFO:SimpleChat:MCUI:HandleSessionSwitch:${chatId} entered...`);
-    }
-
-}
-
-
-class Me {
-
-    constructor() {
-        this.baseURL = "http://127.0.0.1:8080";
-        this.defaultChatIds = [ "Default", "Other" ];
-        this.multiChat = new MultiChatUI();
-        this.bStream = true;
-        this.bCompletionFreshChatAlways = true;
-        this.bCompletionInsertStandardRolePrefix = false;
-        this.bTrimGarbage = true;
-        this.iRecentUserMsgCnt = 2;
-        this.sRecentUserMsgCnt = {
-            "Full": -1,
-            "Last0": 1,
-            "Last1": 2,
-            "Last2": 3,
-            "Last4": 5,
-        };
-        this.apiEP = ApiEP.Type.Chat;
-        this.headers = {
-            "Content-Type": "application/json",
-            "Authorization": "", // Authorization: Bearer OPENAI_API_KEY
-        }
-        // Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
-        this.apiRequestOptions = {
-            "model": "gpt-3.5-turbo",
-            "temperature": 0.7,
-            "max_tokens": 1024,
-            "n_predict": 1024,
-            "cache_prompt": false,
-            //"frequency_penalty": 1.2,
-            //"presence_penalty": 1.2,
-        };
-    }
-
-    /**
-     * Disable console.debug by mapping it to a empty function.
-     */
-    debug_disable() {
-        this.console_debug = console.debug;
-        console.debug = () => {
-
-        };
-    }
-
-    /**
-     * Setup the load saved chat ui.
-     * @param {HTMLDivElement} div
-     * @param {SimpleChat} chat
-     */
-    setup_load(div, chat) {
-        if (!(chat.ods_key() in localStorage)) {
-            return;
-        }
-        div.innerHTML += `<p class="role-system">Restore</p>
-        <p>Load previously saved chat session, if available</p>`;
-        let btn = ui.el_create_button(chat.ods_key(), (ev)=>{
-            console.log("DBUG:SimpleChat:SC:Load", chat);
-            chat.load();
-            queueMicrotask(()=>{
-                chat.show(div);
-                this.multiChat.elInSystem.value = chat.get_system_latest();
-            });
-        });
-        div.appendChild(btn);
-    }
-
-    /**
-     * Show the configurable parameters info in the passed Div element.
-     * @param {HTMLDivElement} elDiv
-     * @param {boolean} bAll
-     */
-    show_info(elDiv, bAll=false) {
-
-        let p = ui.el_create_append_p("Settings (devel-tools-console document[gMe])", elDiv);
-        p.className = "role-system";
-
-        if (bAll) {
-
-            ui.el_create_append_p(`baseURL:${this.baseURL}`, elDiv);
-
-            ui.el_create_append_p(`Authorization:${this.headers["Authorization"]}`, elDiv);
-
-            ui.el_create_append_p(`bStream:${this.bStream}`, elDiv);
-
-            ui.el_create_append_p(`bTrimGarbage:${this.bTrimGarbage}`, elDiv);
-
-            ui.el_create_append_p(`ApiEndPoint:${this.apiEP}`, elDiv);
-
-            ui.el_create_append_p(`iRecentUserMsgCnt:${this.iRecentUserMsgCnt}`, elDiv);
-
-            ui.el_create_append_p(`bCompletionFreshChatAlways:${this.bCompletionFreshChatAlways}`, elDiv);
-
-            ui.el_create_append_p(`bCompletionInsertStandardRolePrefix:${this.bCompletionInsertStandardRolePrefix}`, elDiv);
-
-        }
-
-        ui.el_create_append_p(`apiRequestOptions:${JSON.stringify(this.apiRequestOptions, null, " - ")}`, elDiv);
-        ui.el_create_append_p(`headers:${JSON.stringify(this.headers, null, " - ")}`, elDiv);
-
-    }
-
-    /**
-     * Auto create ui input elements for fields in apiRequestOptions
-     * Currently supports text and number field types.
-     * @param {HTMLDivElement} elDiv
-     */
-    show_settings_apirequestoptions(elDiv) {
-        let typeDict = {
-            "string": "text",
-            "number": "number",
-        };
-        let fs = document.createElement("fieldset");
-        let legend = document.createElement("legend");
-        legend.innerText = "ApiRequestOptions";
-        fs.appendChild(legend);
-        elDiv.appendChild(fs);
-        for(const k in this.apiRequestOptions) {
-            let val = this.apiRequestOptions[k];
-            let type = typeof(val);
-            if (((type == "string") || (type == "number"))) {
-                let inp = ui.el_creatediv_input(`Set${k}`, k, typeDict[type], this.apiRequestOptions[k], (val)=>{
-                    if (type == "number") {
-                        val = Number(val);
-                    }
-                    this.apiRequestOptions[k] = val;
-                });
-                fs.appendChild(inp.div);
-            } else if (type == "boolean") {
-                let bbtn = ui.el_creatediv_boolbutton(`Set{k}`, k, {true: "true", false: "false"}, val, (userVal)=>{
-                    this.apiRequestOptions[k] = userVal;
-                });
-                fs.appendChild(bbtn.div);
-            }
-        }
-    }
-
-    /**
-     * Show settings ui for configurable parameters, in the passed Div element.
-     * @param {HTMLDivElement} elDiv
-     */
-    show_settings(elDiv) {
-
-        let inp = ui.el_creatediv_input("SetBaseURL", "BaseURL", "text", this.baseURL, (val)=>{
-            this.baseURL = val;
-        });
-        elDiv.appendChild(inp.div);
-
-        inp = ui.el_creatediv_input("SetAuthorization", "Authorization", "text", this.headers["Authorization"], (val)=>{
-            this.headers["Authorization"] = val;
-        });
-        inp.el.placeholder = "Bearer OPENAI_API_KEY";
-        elDiv.appendChild(inp.div);
-
-        let bb = ui.el_creatediv_boolbutton("SetStream", "Stream", {true: "[+] yes stream", false: "[-] do oneshot"}, this.bStream, (val)=>{
-            this.bStream = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        bb = ui.el_creatediv_boolbutton("SetTrimGarbage", "TrimGarbage", {true: "[+] yes trim", false: "[-] dont trim"}, this.bTrimGarbage, (val)=>{
-            this.bTrimGarbage = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        this.show_settings_apirequestoptions(elDiv);
-
-        let sel = ui.el_creatediv_select("SetApiEP", "ApiEndPoint", ApiEP.Type, this.apiEP, (val)=>{
-            this.apiEP = ApiEP.Type[val];
-        });
-        elDiv.appendChild(sel.div);
-
-        sel = ui.el_creatediv_select("SetChatHistoryInCtxt", "ChatHistoryInCtxt", this.sRecentUserMsgCnt, this.iRecentUserMsgCnt, (val)=>{
-            this.iRecentUserMsgCnt = this.sRecentUserMsgCnt[val];
-        });
-        elDiv.appendChild(sel.div);
-
-        bb = ui.el_creatediv_boolbutton("SetCompletionFreshChatAlways", "CompletionFreshChatAlways", {true: "[+] yes fresh", false: "[-] no, with history"}, this.bCompletionFreshChatAlways, (val)=>{
-            this.bCompletionFreshChatAlways = val;
-        });
-        elDiv.appendChild(bb.div);
-
-        bb = ui.el_creatediv_boolbutton("SetCompletionInsertStandardRolePrefix", "CompletionInsertStandardRolePrefix", {true: "[+] yes insert", false: "[-] dont insert"}, this.bCompletionInsertStandardRolePrefix, (val)=>{
-            this.bCompletionInsertStandardRolePrefix = val;
-        });
-        elDiv.appendChild(bb.div);
-
-    }
-
-}
-
-
-/** @type {Me} */
-let gMe;
-
-function startme() {
-    console.log("INFO:SimpleChat:StartMe:Starting...");
-    gMe = new Me();
-    gMe.debug_disable();
-    document["gMe"] = gMe;
-    document["du"] = du;
-    for (let cid of gMe.defaultChatIds) {
-        gMe.multiChat.new_chat_session(cid);
-    }
-    gMe.multiChat.setup_ui(gMe.defaultChatIds[0], true);
-    gMe.multiChat.show_sessions();
-}
-
-document.addEventListener("DOMContentLoaded", startme);
diff --git a/tools/server/public_simplechat/simplechat_screens.webp b/tools/server/public_simplechat/simplechat_screens.webp
deleted file mode 100644
index ccea44396..000000000
Binary files a/tools/server/public_simplechat/simplechat_screens.webp and /dev/null differ
diff --git a/tools/server/public_simplechat/ui.mjs b/tools/server/public_simplechat/ui.mjs
deleted file mode 100644
index afa619a06..000000000
--- a/tools/server/public_simplechat/ui.mjs
+++ /dev/null
@@ -1,211 +0,0 @@
-//@ts-check
-// Helpers to work with html elements
-// by Humans for All
-//
-
-
-/**
- * Set the class of the children, based on whether it is the idSelected or not.
- * @param {HTMLDivElement} elBase
- * @param {string} idSelected
- * @param {string} classSelected
- * @param {string} classUnSelected
- */
-export function el_children_config_class(elBase, idSelected, classSelected, classUnSelected="") {
-    for(let child of elBase.children) {
-        if (child.id == idSelected) {
-            child.className = classSelected;
-        } else {
-            child.className = classUnSelected;
-        }
-    }
-}
-
-/**
- * Create button and set it up.
- * @param {string} id
- * @param {(this: HTMLButtonElement, ev: MouseEvent) => any} callback
- * @param {string | undefined} name
- * @param {string | undefined} innerText
- */
-export function el_create_button(id, callback, name=undefined, innerText=undefined) {
-    if (!name) {
-        name = id;
-    }
-    if (!innerText) {
-        innerText = id;
-    }
-    let btn = document.createElement("button");
-    btn.id = id;
-    btn.name = name;
-    btn.innerText = innerText;
-    btn.addEventListener("click", callback);
-    return btn;
-}
-
-/**
- * Create a para and set it up. Optionally append it to a passed parent.
- * @param {string} text
- * @param {HTMLElement | undefined} elParent
- * @param {string | undefined} id
- */
-export function el_create_append_p(text, elParent=undefined, id=undefined) {
-    let para = document.createElement("p");
-    para.innerText = text;
-    if (id) {
-        para.id = id;
-    }
-    if (elParent) {
-        elParent.appendChild(para);
-    }
-    return para;
-}
-
-/**
- * Create a button which represents bool value using specified text wrt true and false.
- * When ever user clicks the button, it will toggle the value and update the shown text.
- *
- * @param {string} id
- * @param {{true: string, false: string}} texts
- * @param {boolean} defaultValue
- * @param {function(boolean):void} cb
- */
-export function el_create_boolbutton(id, texts, defaultValue, cb) {
-    let el = document.createElement("button");
-    el["xbool"] = defaultValue;
-    el["xtexts"] = structuredClone(texts);
-    el.innerText = el["xtexts"][String(defaultValue)];
-    if (id) {
-        el.id = id;
-    }
-    el.addEventListener('click', (ev)=>{
-        el["xbool"] = !el["xbool"];
-        el.innerText = el["xtexts"][String(el["xbool"])];
-        cb(el["xbool"]);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped button which represents bool value using specified text wrt true and false.
- * @param {string} id
- * @param {string} label
- * @param {{ true: string; false: string; }} texts
- * @param {boolean} defaultValue
- * @param {(arg0: boolean) => void} cb
- * @param {string} className
- */
-export function el_creatediv_boolbutton(id, label, texts, defaultValue, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let btn = el_create_boolbutton(id, texts, defaultValue, cb);
-    div.appendChild(btn);
-    return { div: div, el: btn };
-}
-
-
-/**
- * Create a select ui element, with a set of options to select from.
- * * options: an object which contains name-value pairs
- * * defaultOption: the value whose name should be chosen, by default.
- * * cb : the call back returns the name string of the option selected.
- *
- * @param {string} id
- * @param {Object<string,*>} options
- * @param {*} defaultOption
- * @param {function(string):void} cb
- */
-export function el_create_select(id, options, defaultOption, cb) {
-    let el = document.createElement("select");
-    el["xselected"] = defaultOption;
-    el["xoptions"] = structuredClone(options);
-    for(let cur of Object.keys(options)) {
-        let op = document.createElement("option");
-        op.value = cur;
-        op.innerText = cur;
-        if (options[cur] == defaultOption) {
-            op.selected = true;
-        }
-        el.appendChild(op);
-    }
-    if (id) {
-        el.id = id;
-        el.name = id;
-    }
-    el.addEventListener('change', (ev)=>{
-        let target = /** @type{HTMLSelectElement} */(ev.target);
-        console.log("DBUG:UI:Select:", id, ":", target.value);
-        cb(target.value);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped select ui element, with a set of options to select from.
- *
- * @param {string} id
- * @param {any} label
- * @param {{ [x: string]: any; }} options
- * @param {any} defaultOption
- * @param {(arg0: string) => void} cb
- * @param {string} className
- */
-export function el_creatediv_select(id, label, options, defaultOption, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let sel = el_create_select(id, options,defaultOption, cb);
-    div.appendChild(sel);
-    return { div: div, el: sel };
-}
-
-
-/**
- * Create a input ui element.
- *
- * @param {string} id
- * @param {string} type
- * @param {any} defaultValue
- * @param {function(any):void} cb
- */
-export function el_create_input(id, type, defaultValue, cb) {
-    let el = document.createElement("input");
-    el.type = type;
-    el.value = defaultValue;
-    if (id) {
-        el.id = id;
-    }
-    el.addEventListener('change', (ev)=>{
-        cb(el.value);
-    })
-    return el;
-}
-
-/**
- * Create a div wrapped input.
- *
- * @param {string} id
- * @param {string} label
- * @param {string} type
- * @param {any} defaultValue
- * @param {function(any):void} cb
- * @param {string} className
- */
-export function el_creatediv_input(id, label, type, defaultValue, cb, className="gridx2") {
-    let div = document.createElement("div");
-    div.className = className;
-    let lbl = document.createElement("label");
-    lbl.setAttribute("for", id);
-    lbl.innerText = label;
-    div.appendChild(lbl);
-    let el = el_create_input(id, type, defaultValue, cb);
-    div.appendChild(el);
-    return { div: div, el: el };
-}
diff --git a/tools/server/server-chat.cpp b/tools/server/server-chat.cpp
new file mode 100644
index 000000000..f276f8da5
--- /dev/null
+++ b/tools/server/server-chat.cpp
@@ -0,0 +1,630 @@
+#include "server-chat.h"
+#include "server-common.h"
+
+#include <sstream>
+
+json server_chat_convert_responses_to_chatcmpl(const json & response_body) {
+    if (!response_body.contains("input")) {
+        throw std::invalid_argument("'input' is required");
+    }
+    if (!json_value(response_body, "previous_response_id", std::string{}).empty()) {
+        throw std::invalid_argument("llama.cpp does not support 'previous_response_id'.");
+    }
+
+    const json input_value = response_body.at("input");
+    json chatcmpl_body = response_body;
+    chatcmpl_body.erase("input");
+    std::vector<json> chatcmpl_messages;
+
+    if (response_body.contains("instructions")) {
+        chatcmpl_messages.push_back({
+            {"role",    "system"},
+            {"content", json_value(response_body, "instructions", std::string())},
+        });
+        chatcmpl_body.erase("instructions");
+    }
+
+    if (input_value.is_string()) {
+        // #responses_create-input-text_input
+        chatcmpl_messages.push_back({
+            {"role",    "user"},
+            {"content", input_value},
+        });
+    } else if (input_value.is_array()) {
+        // #responses_create-input-input_item_list
+
+        static auto exists_and_is_array = [](const json & j, const char * key) -> bool {
+            return j.contains(key) && j.at(key).is_array();
+        };
+        static auto exists_and_is_string = [](const json & j, const char * key) -> bool {
+            return j.contains(key) && j.at(key).is_string();
+        };
+
+        for (json item : input_value) {
+            bool merge_prev = !chatcmpl_messages.empty() && chatcmpl_messages.back().value("role", "") == "assistant";
+
+            if (exists_and_is_string(item, "content")) {
+                // #responses_create-input-input_item_list-input_message-content-text_input
+                // Only "Input message" contains item["content"]::string
+                // After converting item["content"]::string to item["content"]::array,
+                // we can treat "Input message" as sum of "Item-Input message" and "Item-Output message"
+                item["content"] = json::array({
+                    json {
+                        {"text", item.at("content")},
+                        {"type", "input_text"}
+                    }
+                });
+            }
+
+            if (exists_and_is_array(item, "content") &&
+                exists_and_is_string(item, "role") &&
+                (item.at("role") == "user" ||
+                    item.at("role") == "system" ||
+                    item.at("role") == "developer")
+            ) {
+                // #responses_create-input-input_item_list-item-input_message
+                std::vector<json> chatcmpl_content;
+
+                for (const json & input_item : item.at("content")) {
+                    const std::string type = json_value(input_item, "type", std::string());
+
+                    if (type == "input_text") {
+                        if (!input_item.contains("text")) {
+                            throw std::invalid_argument("'Input text' requires 'text'");
+                        }
+                        chatcmpl_content.push_back({
+                            {"text", input_item.at("text")},
+                            {"type", "text"},
+                        });
+                    } else if (type == "input_image") {
+                        // While `detail` is marked as required,
+                        // it has default value("auto") and can be omitted.
+
+                        if (!input_item.contains("image_url")) {
+                            throw std::invalid_argument("'image_url' is required");
+                        }
+                        chatcmpl_content.push_back({
+                            {"image_url", json {
+                                {"url", input_item.at("image_url")}
+                            }},
+                            {"type", "image_url"},
+                        });
+                    } else if (type == "input_file") {
+                        throw std::invalid_argument("'input_file' is not supported by llamacpp at this moment");
+                    } else {
+                        throw std::invalid_argument("'type' must be one of 'input_text', 'input_image', or 'input_file'");
+                    }
+                }
+
+                if (item.contains("type")) {
+                    item.erase("type");
+                }
+                if (item.contains("status")) {
+                    item.erase("status");
+                }
+                item["content"] = chatcmpl_content;
+
+                chatcmpl_messages.push_back(item);
+            } else if (exists_and_is_string(item, "role") &&
+                item.at("role") == "assistant" &&
+                exists_and_is_string(item, "type") &&
+                item.at("type") == "message"
+            ) {
+                // #responses_create-input-input_item_list-item-output_message
+                auto chatcmpl_content = json::array();
+
+                // Handle both string content and array content
+                if (item.contains("content") && item.at("content").is_string()) {
+                    // String content - convert to text content part
+                    chatcmpl_content.push_back({
+                        {"text", item.at("content")},
+                        {"type", "text"},
+                    });
+                } else if (exists_and_is_array(item, "content")) {
+                    // Array content - process each item
+                    for (const auto & output_text : item.at("content")) {
+                        const std::string type = json_value(output_text, "type", std::string());
+                        if (type == "output_text" || type == "input_text") {
+                            // Accept both output_text and input_text (string content gets converted to input_text)
+                            if (!exists_and_is_string(output_text, "text")) {
+                                throw std::invalid_argument("'Output text' requires 'text'");
+                            }
+                            chatcmpl_content.push_back({
+                                {"text", output_text.at("text")},
+                                {"type", "text"},
+                            });
+                        } else if (type == "refusal") {
+                            if (!exists_and_is_string(output_text, "refusal")) {
+                                throw std::invalid_argument("'Refusal' requires 'refusal'");
+                            }
+                            chatcmpl_content.push_back({
+                                {"refusal", output_text.at("refusal")},
+                                {"type", "refusal"},
+                            });
+                        } else {
+                            throw std::invalid_argument("'type' must be one of 'output_text' or 'refusal'");
+                        }
+                    }
+                }
+
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    if (!exists_and_is_array(prev_msg, "content")) {
+                        prev_msg["content"] = json::array();
+                    }
+                    auto & prev_content = prev_msg["content"];
+                    prev_content.insert(prev_content.end(), chatcmpl_content.begin(), chatcmpl_content.end());
+                } else {
+                    item.erase("status");
+                    item.erase("type");
+                    item["content"] = chatcmpl_content;
+                    chatcmpl_messages.push_back(item);
+                }
+            } else if (exists_and_is_string(item, "arguments") &&
+                exists_and_is_string(item, "call_id") &&
+                exists_and_is_string(item, "name") &&
+                exists_and_is_string(item, "type") &&
+                item.at("type") == "function_call"
+            ) {
+                // #responses_create-input-input_item_list-item-function_tool_call
+                json tool_call = {
+                    {"function", json {
+                        {"arguments", item.at("arguments")},
+                        {"name",      item.at("name")},
+                    }},
+                    {"id",   item.at("call_id")},
+                    {"type", "function"},
+                };
+
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    if (!exists_and_is_array(prev_msg, "tool_calls")) {
+                        prev_msg["tool_calls"] = json::array();
+                    }
+                    prev_msg["tool_calls"].push_back(tool_call);
+                } else {
+                    chatcmpl_messages.push_back(json {
+                        {"role",       "assistant"},
+                        {"tool_calls", json::array({tool_call})}
+                    });
+                }
+            } else if (exists_and_is_string(item, "call_id") &&
+                (exists_and_is_string(item, "output") || exists_and_is_array(item, "output")) &&
+                exists_and_is_string(item, "type") &&
+                item.at("type") == "function_call_output"
+            ) {
+                // #responses_create-input-input_item_list-item-function_tool_call_output
+                if (item.at("output").is_string()) {
+                    chatcmpl_messages.push_back(json {
+                        {"content",      item.at("output")},
+                        {"role",         "tool"},
+                        {"tool_call_id", item.at("call_id")},
+                    });
+                } else {
+                    json chatcmpl_outputs = item.at("output");
+                    for (json & chatcmpl_output : chatcmpl_outputs) {
+                        if (!chatcmpl_output.contains("type") || chatcmpl_output.at("type") != "input_text") {
+                            throw std::invalid_argument("Output of tool call should be 'Input text'");
+                        }
+                        chatcmpl_output["type"] = "text";
+                    }
+                    chatcmpl_messages.push_back(json {
+                        {"content",      chatcmpl_outputs},
+                        {"role",         "tool"},
+                        {"tool_call_id", item.at("call_id")},
+                    });
+                }
+            } else if (exists_and_is_array(item, "summary") &&
+                exists_and_is_string(item, "type") &&
+                item.at("type") == "reasoning") {
+                // #responses_create-input-input_item_list-item-reasoning
+
+                if (!exists_and_is_array(item, "content")) {
+                    throw std::invalid_argument("item['content'] is not an array");
+                }
+                if (item.at("content").empty()) {
+                    throw std::invalid_argument("item['content'] is empty");
+                }
+                if (!exists_and_is_string(item.at("content")[0], "text")) {
+                    throw std::invalid_argument("item['content']['text'] is not a string");
+                }
+
+                if (merge_prev) {
+                    auto & prev_msg = chatcmpl_messages.back();
+                    prev_msg["reasoning_content"] = item.at("content")[0].at("text");
+                } else {
+                    chatcmpl_messages.push_back(json {
+                        {"role", "assistant"},
+                        {"content", json::array()},
+                        {"reasoning_content", item.at("content")[0].at("text")},
+                    });
+                }
+            } else {
+                throw std::invalid_argument("Cannot determine type of 'item'");
+            }
+        }
+    } else {
+        throw std::invalid_argument("'input' must be a string or array of objects");
+    }
+
+    chatcmpl_body["messages"] = chatcmpl_messages;
+
+    if (response_body.contains("tools")) {
+        if (!response_body.at("tools").is_array()) {
+            throw std::invalid_argument("'tools' must be an array of objects");
+        }
+        std::vector<json> chatcmpl_tools;
+        for (json resp_tool : response_body.at("tools")) {
+            json chatcmpl_tool;
+
+            if (json_value(resp_tool, "type", std::string()) != "function") {
+                throw std::invalid_argument("'type' of tool must be 'function'");
+            }
+            resp_tool.erase("type");
+            chatcmpl_tool["type"] = "function";
+
+            if (!resp_tool.contains("strict")) {
+                resp_tool["strict"] = true;
+            }
+            chatcmpl_tool["function"] = resp_tool;
+            chatcmpl_tools.push_back(chatcmpl_tool);
+        }
+        chatcmpl_body.erase("tools");
+        chatcmpl_body["tools"] = chatcmpl_tools;
+    }
+
+    if (response_body.contains("max_output_tokens")) {
+        chatcmpl_body.erase("max_output_tokens");
+        chatcmpl_body["max_tokens"] = response_body["max_output_tokens"];
+    }
+
+    return chatcmpl_body;
+}
+
+// Edits the cch section of an "x-anthropic-billing-header" system prompt.
+// Does nothing to any other prompt.
+//
+// This is a claude message with a "cch=ef01a" attribute that breaks prefix caching.
+// The cch stamp is a whitebox end-to-end integrity hint. It's not meaningful as a
+// system prompt data, particularly to llama.cpp, but its presence means the prefix
+// cache will not get past it: It changes on each request.
+//
+// Reference: https://github.com/ggml-org/llama.cpp/pull/21793
+// Example header:
+// ```
+// x-anthropic-billing-header: cc_version=2.1.101.e51; cc_entrypoint=cli; cch=a5145;You are Claude Code, Anthropic's official CLI for Claude.
+//                                                                            ^^^^^
+// ```
+static void normalize_anthropic_billing_header(std::string & system_text) {
+    if (system_text.rfind("x-anthropic-billing-header:", 0) != 0) {
+        return;
+    }
+
+    const size_t header_prefix_length = strlen("x-anthropic-billing-header:");
+    const size_t cch_length = 5;
+    const size_t index_cch = system_text.find("cch=", header_prefix_length);
+    if (index_cch == std::string::npos) {
+        return;
+    }
+
+    const size_t index_replace = index_cch + 4;
+    if (index_replace + cch_length < system_text.length() && system_text[index_replace + cch_length] == ';') {
+        for (size_t i = 0; i < cch_length; ++i) {
+            system_text[index_replace + i] = 'f';
+        }
+    } else {
+        LOG_ERR("anthropic string not as expected: %s", system_text.c_str());
+    }
+}
+
+json server_chat_convert_anthropic_to_oai(const json & body) {
+    json oai_body;
+
+    // Convert system prompt
+    json oai_messages = json::array();
+    auto system_param = json_value(body, "system", json());
+    if (!system_param.is_null()) {
+        std::string system_content;
+
+        if (system_param.is_string()) {
+            system_content = system_param.get<std::string>();
+            normalize_anthropic_billing_header(system_content);
+        } else if (system_param.is_array()) {
+            for (const auto & block : system_param) {
+                if (json_value(block, "type", std::string()) == "text") {
+                    auto system_text = json_value(block, "text", std::string());
+                    normalize_anthropic_billing_header(system_text);
+                    system_content += system_text;
+                }
+            }
+        }
+
+        oai_messages.push_back({
+            {"role", "system"},
+            {"content", system_content}
+        });
+    }
+
+    // Convert messages
+    if (!body.contains("messages")) {
+        throw std::runtime_error("'messages' is required");
+    }
+    const json & messages = body.at("messages");
+    if (messages.is_array()) {
+        for (const auto & msg : messages) {
+            std::string role = json_value(msg, "role", std::string());
+
+            if (!msg.contains("content")) {
+                if (role == "assistant") {
+                    continue;
+                }
+                oai_messages.push_back(msg);
+                continue;
+            }
+
+            const json & content = msg.at("content");
+
+            if (content.is_string()) {
+                oai_messages.push_back(msg);
+                continue;
+            }
+
+            if (!content.is_array()) {
+                oai_messages.push_back(msg);
+                continue;
+            }
+
+            json tool_calls = json::array();
+            json converted_content = json::array();
+            json tool_results = json::array();
+            std::string reasoning_content;
+            bool has_tool_calls = false;
+
+            for (const auto & block : content) {
+                std::string type = json_value(block, "type", std::string());
+
+                if (type == "text") {
+                    converted_content.push_back(block);
+                } else if (type == "thinking") {
+                    reasoning_content += json_value(block, "thinking", std::string());
+                } else if (type == "image") {
+                    json source = json_value(block, "source", json::object());
+                    std::string source_type = json_value(source, "type", std::string());
+
+                    if (source_type == "base64") {
+                        std::string media_type = json_value(source, "media_type", std::string("image/jpeg"));
+                        std::string data = json_value(source, "data", std::string());
+                        std::ostringstream ss;
+                        ss << "data:" << media_type << ";base64," << data;
+
+                        converted_content.push_back({
+                            {"type", "image_url"},
+                            {"image_url", {
+                                {"url", ss.str()}
+                            }}
+                        });
+                    } else if (source_type == "url") {
+                        std::string url = json_value(source, "url", std::string());
+                        converted_content.push_back({
+                            {"type", "image_url"},
+                            {"image_url", {
+                                {"url", url}
+                            }}
+                        });
+                    }
+                } else if (type == "tool_use") {
+                    tool_calls.push_back({
+                        {"id", json_value(block, "id", std::string())},
+                        {"type", "function"},
+                        {"function", {
+                            {"name", json_value(block, "name", std::string())},
+                            {"arguments", json_value(block, "input", json::object()).dump()}
+                        }}
+                    });
+                    has_tool_calls = true;
+                } else if (type == "tool_result") {
+                    std::string tool_use_id = json_value(block, "tool_use_id", std::string());
+
+                    auto result_content = json_value(block, "content", json());
+                    std::string result_text;
+                    if (result_content.is_string()) {
+                        result_text = result_content.get<std::string>();
+                    } else if (result_content.is_array()) {
+                        for (const auto & c : result_content) {
+                            if (json_value(c, "type", std::string()) == "text") {
+                                result_text += json_value(c, "text", std::string());
+                            }
+                        }
+                    }
+
+                    tool_results.push_back({
+                        {"role", "tool"},
+                        {"tool_call_id", tool_use_id},
+                        {"content", result_text}
+                    });
+                }
+            }
+
+            if (!converted_content.empty() || has_tool_calls || !reasoning_content.empty()) {
+                json new_msg = {{"role", role}};
+                if (!converted_content.empty()) {
+                    new_msg["content"] = converted_content;
+                } else if (has_tool_calls || !reasoning_content.empty()) {
+                    new_msg["content"] = "";
+                }
+                if (!tool_calls.empty()) {
+                    new_msg["tool_calls"] = tool_calls;
+                }
+                if (!reasoning_content.empty()) {
+                    new_msg["reasoning_content"] = reasoning_content;
+                }
+                oai_messages.push_back(new_msg);
+            }
+
+            for (const auto & tool_msg : tool_results) {
+                oai_messages.push_back(tool_msg);
+            }
+        }
+    }
+
+    oai_body["messages"] = oai_messages;
+
+    // Convert tools
+    if (body.contains("tools")) {
+        const json & tools = body.at("tools");
+        if (tools.is_array()) {
+            json oai_tools = json::array();
+            for (const auto & tool : tools) {
+                oai_tools.push_back({
+                    {"type", "function"},
+                    {"function", {
+                        {"name", json_value(tool, "name", std::string())},
+                        {"description", json_value(tool, "description", std::string())},
+                        {"parameters", tool.contains("input_schema") ? tool.at("input_schema") : json::object()}
+                    }}
+                });
+            }
+            oai_body["tools"] = oai_tools;
+        }
+    }
+
+    // Convert tool_choice
+    if (body.contains("tool_choice")) {
+        const json & tc = body.at("tool_choice");
+        if (tc.is_object()) {
+            std::string type = json_value(tc, "type", std::string());
+            if (type == "auto") {
+                oai_body["tool_choice"] = "auto";
+            } else if (type == "any" || type == "tool") {
+                oai_body["tool_choice"] = "required";
+            }
+        }
+    }
+
+    // Convert stop_sequences to stop
+    if (body.contains("stop_sequences")) {
+        oai_body["stop"] = body.at("stop_sequences");
+    }
+
+    // Handle max_tokens (required in Anthropic, but we're permissive)
+    if (body.contains("max_tokens")) {
+        oai_body["max_tokens"] = body.at("max_tokens");
+    } else {
+        oai_body["max_tokens"] = 4096;
+    }
+
+    // Pass through common params
+    for (const auto & key : {"temperature", "top_p", "top_k", "stream", "chat_template_kwargs"}) {
+        if (body.contains(key)) {
+            oai_body[key] = body.at(key);
+        }
+    }
+
+    // Handle Anthropic-specific thinking param
+    if (body.contains("thinking")) {
+        json thinking = json_value(body, "thinking", json::object());
+        std::string thinking_type = json_value(thinking, "type", std::string());
+        if (thinking_type == "enabled") {
+            int budget_tokens = json_value(thinking, "budget_tokens", 10000);
+            oai_body["thinking_budget_tokens"] = budget_tokens;
+        }
+    }
+
+    // Handle Anthropic-specific metadata param
+    if (body.contains("metadata")) {
+        json metadata = json_value(body, "metadata", json::object());
+        std::string user_id = json_value(metadata, "user_id", std::string());
+        if (!user_id.empty()) {
+            oai_body["__metadata_user_id"] = user_id;
+        }
+    }
+
+    return oai_body;
+}
+
+json server_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
+    json delta = json::object();
+    if (!diff.reasoning_content_delta.empty()) {
+        delta["reasoning_content"] = diff.reasoning_content_delta;
+    }
+    if (!diff.content_delta.empty()) {
+        delta["content"] = diff.content_delta;
+    }
+    if (diff.tool_call_index != std::string::npos) {
+        json tool_call;
+        tool_call["index"] = diff.tool_call_index;
+        if (!diff.tool_call_delta.id.empty()) {
+            tool_call["id"]   = diff.tool_call_delta.id;
+            tool_call["type"] = "function";
+        }
+        if (!diff.tool_call_delta.name.empty() || !diff.tool_call_delta.arguments.empty()) {
+            json function = json::object();
+            if (!diff.tool_call_delta.name.empty()) {
+                function["name"] = diff.tool_call_delta.name;
+            }
+            if (!diff.tool_call_delta.arguments.empty()) {
+                function["arguments"] = diff.tool_call_delta.arguments;
+            }
+            tool_call["function"] = function;
+        }
+        delta["tool_calls"] = json::array({ tool_call });
+    }
+    return delta;
+}
+
+json convert_transcriptions_to_chatcmpl(
+        const json & inp_body,
+        const common_chat_templates * tmpls,
+        const std::map<std::string, uploaded_file> & in_files,
+        std::vector<raw_buffer> & out_files) {
+    // TODO @ngxson : this function may need to be improved in the future
+    // handle input files
+    out_files.clear();
+    auto it = in_files.find("file");
+    if (it != in_files.end()) {
+        out_files.push_back(it->second.data);
+    } else {
+        throw std::invalid_argument("No input file found for transcription");
+    }
+
+    // handle input data
+    std::string prompt          = json_value(inp_body, "prompt", std::string());
+    std::string language        = json_value(inp_body, "language", std::string());
+    std::string response_format = json_value(inp_body, "response_format", std::string("json"));
+    if (response_format != "json") {
+        throw std::invalid_argument("Only 'json' response_format is supported for transcription");
+    }
+    const common_chat_prompt_preset preset = common_chat_get_asr_prompt(tmpls);
+    if (prompt.empty()) {
+        prompt = preset.user;
+    }
+    if (!language.empty()) {
+        prompt += string_format(" (language: %s)", language.c_str());
+    }
+    prompt += get_media_marker();
+
+    json messages = json::array();
+    if (!preset.system.empty()) {
+        messages.push_back({{"role", "system"}, {"content", preset.system}});
+    }
+    messages.push_back({{"role", "user"}, {"content", prompt}});
+
+    json chatcmpl_body = inp_body; // copy all fields
+    chatcmpl_body["messages"] = messages;
+
+    // because input from form-data, everything is string, we need to correct the types here
+    std::string stream = json_value(inp_body, "stream", std::string("false"));
+    chatcmpl_body["stream"] = stream == "true";
+
+    if (inp_body.contains("max_tokens")) {
+        std::string inp = inp_body["max_tokens"].get<std::string>();
+        chatcmpl_body["max_tokens"] = std::stoul(inp);
+    }
+
+    if (inp_body.contains("temperature")) {
+        std::string inp = inp_body["temperature"].get<std::string>();
+        chatcmpl_body["temperature"] = std::stof(inp);
+    }
+
+    return chatcmpl_body;
+}
diff --git a/tools/server/server-chat.h b/tools/server/server-chat.h
new file mode 100644
index 000000000..102eae688
--- /dev/null
+++ b/tools/server/server-chat.h
@@ -0,0 +1,26 @@
+// Chat conversion functions for server (Responses API, Anthropic API, OAI streaming diffs)
+
+#pragma once
+
+#include "chat.h"
+#include "server-common.h"
+#include "server-http.h"
+
+#include <nlohmann/json_fwd.hpp>
+
+using json = nlohmann::ordered_json;
+
+// Convert OpenAI Responses API format to OpenAI Chat Completions API format
+json server_chat_convert_responses_to_chatcmpl(const json & body);
+
+// Convert Anthropic Messages API format to OpenAI Chat Completions API format
+json server_chat_convert_anthropic_to_oai(const json & body);
+
+// convert OpenAI transcriptions API format to OpenAI Chat Completions API format
+json convert_transcriptions_to_chatcmpl(
+    const json & body,
+    const common_chat_templates * tmpls,
+    const std::map<std::string, uploaded_file> & in_files,
+    std::vector<raw_buffer> & out_files);
+
+json server_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
diff --git a/tools/server/server-common.cpp b/tools/server/server-common.cpp
index ed5e306fc..21c843c0d 100644
--- a/tools/server/server-common.cpp
+++ b/tools/server/server-common.cpp
@@ -84,6 +84,18 @@ std::string gen_tool_call_id() {
     return random_string();
 }
 
+const char * get_media_marker() {
+    static const std::string marker = []() {
+        // allow user to pin a reproducible marker via env var
+        const char * env = getenv("LLAMA_MEDIA_MARKER");
+        if (env && env[0] != '\0') {
+            return std::string(env);
+        }
+        return std::string("<__media_") + random_string() + "__>";
+    }();
+    return marker.c_str();
+}
+
 //
 // lora utils
 //
@@ -379,15 +391,25 @@ void server_tokens::push_back(server_tokens & tokens) {
 }
 
 void server_tokens::insert(const llama_tokens & inp_tokens) {
-    GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
     tokens.insert(tokens.end(), inp_tokens.begin(), inp_tokens.end());
 }
 
-const llama_tokens & server_tokens::get_text_tokens() const {
-    GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
+const llama_tokens & server_tokens::get_tokens() const {
+    GGML_ASSERT(!has_mtmd);
     return tokens;
 }
 
+llama_tokens server_tokens::get_text_tokens() const {
+    llama_tokens res;
+    res.reserve(tokens.size());
+    for (llama_token t : tokens) {
+        if (t != LLAMA_TOKEN_NULL) {
+            res.push_back(t);
+        }
+    }
+    return res;
+}
+
 void server_tokens::set_token(llama_pos pos, llama_token id) {
     GGML_ASSERT(!has_mtmd); // only allow this if mtmd is disabled
     tokens[pos] = id;
@@ -925,7 +947,9 @@ json oaicompat_chat_params_parse(
         json response_format      = json_value(body, "response_format", json::object());
         std::string response_type = json_value(response_format, "type", std::string());
         if (response_type == "json_object") {
-            json_schema = json_value(response_format, "schema", json::object());
+            if (response_format.contains("schema") || json_schema.empty()) {
+                json_schema = json_value(response_format, "schema", json::object());
+            }
         } else if (response_type == "json_schema") {
             auto schema_wrapper = json_value(response_format, "json_schema", json::object());
             json_schema = json_value(schema_wrapper, "schema", json::object());
@@ -975,7 +999,7 @@ json oaicompat_chat_params_parse(
                 handle_media(out_files, image_url, opt.media_path);
 
                 p["type"] = "media_marker";
-                p["text"] = mtmd_default_marker();
+                p["text"] = get_media_marker();
                 p.erase("image_url");
 
             } else if (type == "input_audio") {
@@ -996,7 +1020,7 @@ json oaicompat_chat_params_parse(
                 // TODO: add audio_url support by reusing handle_media()
 
                 p["type"] = "media_marker";
-                p["text"] = mtmd_default_marker();
+                p["text"] = get_media_marker();
                 p.erase("input_audio");
 
             } else if (type != "text") {
@@ -1005,6 +1029,8 @@ json oaicompat_chat_params_parse(
         }
     }
 
+    auto caps = common_chat_templates_get_caps(opt.tmpls.get());
+
     common_chat_templates_inputs inputs;
     inputs.messages              = common_chat_msgs_parse_oaicompat(messages);
     inputs.tools                 = common_chat_tools_parse_oaicompat(tools);
@@ -1012,7 +1038,7 @@ json oaicompat_chat_params_parse(
     inputs.json_schema           = json_schema.is_null() ? "" : json_schema.dump();
     inputs.grammar               = grammar;
     inputs.use_jinja             = opt.use_jinja;
-    inputs.parallel_tool_calls   = json_value(body, "parallel_tool_calls", false);
+    inputs.parallel_tool_calls   = json_value(body, "parallel_tool_calls", caps["supports_parallel_tool_calls"]);
     inputs.add_generation_prompt = json_value(body, "add_generation_prompt", true);
     inputs.reasoning_format      = opt.reasoning_format;
     if (body.contains("reasoning_format")) {
@@ -1142,519 +1168,6 @@ json oaicompat_chat_params_parse(
     return llama_params;
 }
 
-json convert_responses_to_chatcmpl(const json & response_body) {
-    if (!response_body.contains("input")) {
-        throw std::invalid_argument("'input' is required");
-    }
-    if (!json_value(response_body, "previous_response_id", std::string{}).empty()) {
-        throw std::invalid_argument("llama.cpp does not support 'previous_response_id'.");
-    }
-
-    const json input_value = response_body.at("input");
-    json chatcmpl_body = response_body;
-    chatcmpl_body.erase("input");
-    std::vector<json> chatcmpl_messages;
-
-    if (response_body.contains("instructions")) {
-        chatcmpl_messages.push_back({
-            {"role",    "system"},
-            {"content", json_value(response_body, "instructions", std::string())},
-        });
-        chatcmpl_body.erase("instructions");
-    }
-
-    if (input_value.is_string()) {
-        // #responses_create-input-text_input
-        chatcmpl_messages.push_back({
-            {"role",    "user"},
-            {"content", input_value},
-        });
-    } else if (input_value.is_array()) {
-        // #responses_create-input-input_item_list
-
-        static auto exists_and_is_array = [](const json & j, const char * key) -> bool {
-            return j.contains(key) && j.at(key).is_array();
-        };
-        static auto exists_and_is_string = [](const json & j, const char * key) -> bool {
-            return j.contains(key) && j.at(key).is_string();
-        };
-
-        for (json item : input_value) {
-            bool merge_prev = !chatcmpl_messages.empty() && chatcmpl_messages.back().value("role", "") == "assistant";
-
-            if (exists_and_is_string(item, "content")) {
-                // #responses_create-input-input_item_list-input_message-content-text_input
-                // Only "Input message" contains item["content"]::string
-                // After converting item["content"]::string to item["content"]::array,
-                // we can treat "Input message" as sum of "Item-Input message" and "Item-Output message"
-                item["content"] = json::array({
-                    json {
-                        {"text", item.at("content")},
-                        {"type", "input_text"}
-                    }
-                });
-            }
-
-            if (exists_and_is_array(item, "content") &&
-                exists_and_is_string(item, "role") &&
-                (item.at("role") == "user" ||
-                    item.at("role") == "system" ||
-                    item.at("role") == "developer")
-            ) {
-                // #responses_create-input-input_item_list-item-input_message
-                std::vector<json> chatcmpl_content;
-
-                for (const json & input_item : item.at("content")) {
-                    const std::string type = json_value(input_item, "type", std::string());
-
-                    if (type == "input_text") {
-                        if (!input_item.contains("text")) {
-                            throw std::invalid_argument("'Input text' requires 'text'");
-                        }
-                        chatcmpl_content.push_back({
-                            {"text", input_item.at("text")},
-                            {"type", "text"},
-                        });
-                    } else if (type == "input_image") {
-                        // While `detail` is marked as required,
-                        // it has default value("auto") and can be omitted.
-
-                        if (!input_item.contains("image_url")) {
-                            throw std::invalid_argument("'image_url' is required");
-                        }
-                        chatcmpl_content.push_back({
-                            {"image_url", json {
-                                {"url", input_item.at("image_url")}
-                            }},
-                            {"type", "image_url"},
-                        });
-                    } else if (type == "input_file") {
-                        throw std::invalid_argument("'input_file' is not supported by llamacpp at this moment");
-                        // if (input_item.contains("file_url")) {
-                        //     // chat completion API does not support file_url
-                        //     throw std::invalid_argument("'file_url' is not supported");
-                        // }
-                        // if (!input_item.contains("file_data") || !input_item.contains("filename")) {
-                        //     throw std::invalid_argument("Both 'file_data' and 'filename' are required");
-                        // }
-                        // chatcmpl_content.push_back({
-                        //     {"file", json {
-                        //         {"file_data", input_item.at("file_data")},
-                        //         {"filename",  input_item.at("filename")},
-                        //     }},
-                        //     {"type", "file"},
-                        // });
-                    } else {
-                        throw std::invalid_argument("'type' must be one of 'input_text', 'input_image', or 'input_file'");
-                    }
-                }
-
-                if (item.contains("type")) {
-                    item.erase("type");
-                }
-                if (item.contains("status")) {
-                    item.erase("status");
-                }
-                item["content"] = chatcmpl_content;
-
-                chatcmpl_messages.push_back(item);
-            } else if (exists_and_is_array(item, "content") &&
-                exists_and_is_string(item, "role") &&
-                item.at("role") == "assistant" &&
-                // exists_and_is_string(item, "status") &&
-                // (item.at("status") == "in_progress" ||
-                //     item.at("status") == "completed" ||
-                //     item.at("status") == "incomplete") &&
-                // item["status"] not sent by codex-cli
-                exists_and_is_string(item, "type") &&
-                item.at("type") == "message"
-            ) {
-                // #responses_create-input-input_item_list-item-output_message
-                auto chatcmpl_content = json::array();
-
-                for (const auto & output_text : item.at("content")) {
-                    const std::string type = json_value(output_text, "type", std::string());
-                    if (type == "output_text") {
-                        if (!exists_and_is_string(output_text, "text")) {
-                            throw std::invalid_argument("'Output text' requires 'text'");
-                            // Ignore annotations and logprobs for now
-                            chatcmpl_content.push_back({
-                                {"text", output_text.at("text")},
-                                {"type", "text"},
-                            });
-                        }
-                    } else if (type == "refusal") {
-                        if (!exists_and_is_string(output_text, "refusal")) {
-                            throw std::invalid_argument("'Refusal' requires 'refusal'");
-                            // Ignore annotations and logprobs for now
-                            chatcmpl_content.push_back({
-                                {"refusal", output_text.at("refusal")},
-                                {"type", "refusal"},
-                            });
-                        }
-                    } else {
-                        throw std::invalid_argument("'type' must be one of 'output_text' or 'refusal'");
-                    }
-                }
-
-                if (merge_prev) {
-                    auto & prev_msg = chatcmpl_messages.back();
-                    if (!exists_and_is_array(prev_msg, "content")) {
-                        prev_msg["content"] = json::array();
-                    }
-                    auto & prev_content = prev_msg["content"];
-                    prev_content.insert(prev_content.end(), chatcmpl_content.begin(), chatcmpl_content.end());
-                } else {
-                    item.erase("status");
-                    item.erase("type");
-                    item["content"] = chatcmpl_content;
-                    chatcmpl_messages.push_back(item);
-                }
-            } else if (exists_and_is_string(item, "arguments") &&
-                exists_and_is_string(item, "call_id") &&
-                exists_and_is_string(item, "name") &&
-                exists_and_is_string(item, "type") &&
-                item.at("type") == "function_call"
-            ) {
-                // #responses_create-input-input_item_list-item-function_tool_call
-                json tool_call = {
-                    {"function", json {
-                        {"arguments", item.at("arguments")},
-                        {"name",      item.at("name")},
-                    }},
-                    {"id",   item.at("call_id")},
-                    {"type", "function"},
-                };
-
-                if (merge_prev) {
-                    auto & prev_msg = chatcmpl_messages.back();
-                    if (!exists_and_is_array(prev_msg, "tool_calls")) {
-                        prev_msg["tool_calls"] = json::array();
-                    }
-                    prev_msg["tool_calls"].push_back(tool_call);
-                } else {
-                    chatcmpl_messages.push_back(json {
-                        {"role",       "assistant"},
-                        {"tool_calls", json::array({tool_call})}
-                    });
-                }
-            } else if (exists_and_is_string(item, "call_id") &&
-                (exists_and_is_string(item, "output") || exists_and_is_array(item, "output")) &&
-                exists_and_is_string(item, "type") &&
-                item.at("type") == "function_call_output"
-            ) {
-                // #responses_create-input-input_item_list-item-function_tool_call_output
-                if (item.at("output").is_string()) {
-                    chatcmpl_messages.push_back(json {
-                        {"content",      item.at("output")},
-                        {"role",         "tool"},
-                        {"tool_call_id", item.at("call_id")},
-                    });
-                } else {
-                    json chatcmpl_outputs = item.at("output");
-                    for (json & chatcmpl_output : chatcmpl_outputs) {
-                        if (!chatcmpl_output.contains("type") || chatcmpl_output.at("type") != "input_text") {
-                            throw std::invalid_argument("Output of tool call should be 'Input text'");
-                        }
-                        chatcmpl_output["type"] = "text";
-                    }
-                    chatcmpl_messages.push_back(json {
-                        {"content",      chatcmpl_outputs},
-                        {"role",         "tool"},
-                        {"tool_call_id", item.at("call_id")},
-                    });
-                }
-            } else if (// exists_and_is_string(item, "id") &&
-                // item["id"] not sent by codex-cli
-                exists_and_is_array(item, "summary") &&
-                exists_and_is_string(item, "type") &&
-                item.at("type") == "reasoning") {
-                // #responses_create-input-input_item_list-item-reasoning
-
-                if (!exists_and_is_array(item, "content")) {
-                    throw std::invalid_argument("item['content'] is not an array");
-                }
-                if (item.at("content").empty()) {
-                    throw std::invalid_argument("item['content'] is empty");
-                }
-                if (!exists_and_is_string(item.at("content")[0], "text")) {
-                    throw std::invalid_argument("item['content']['text'] is not a string");
-                }
-
-                if (merge_prev) {
-                    auto & prev_msg = chatcmpl_messages.back();
-                    prev_msg["reasoning_content"] = item.at("content")[0].at("text");
-                } else {
-                    chatcmpl_messages.push_back(json {
-                        {"role", "assistant"},
-                        {"content", json::array()},
-                        {"reasoning_content", item.at("content")[0].at("text")},
-                    });
-                }
-            } else {
-                throw std::invalid_argument("Cannot determine type of 'item'");
-            }
-        }
-    } else {
-        throw std::invalid_argument("'input' must be a string or array of objects");
-    }
-
-    chatcmpl_body["messages"] = chatcmpl_messages;
-
-    if (response_body.contains("tools")) {
-        if (!response_body.at("tools").is_array()) {
-            throw std::invalid_argument("'tools' must be an array of objects");
-        }
-        std::vector<json> chatcmpl_tools;
-        for (json resp_tool : response_body.at("tools")) {
-            json chatcmpl_tool;
-
-            if (json_value(resp_tool, "type", std::string()) != "function") {
-                throw std::invalid_argument("'type' of tool must be 'function'");
-            }
-            resp_tool.erase("type");
-            chatcmpl_tool["type"] = "function";
-
-            if (!resp_tool.contains("strict")) {
-                resp_tool["strict"] = true;
-            }
-            chatcmpl_tool["function"] = resp_tool;
-            chatcmpl_tools.push_back(chatcmpl_tool);
-        }
-        chatcmpl_body.erase("tools");
-        chatcmpl_body["tools"] = chatcmpl_tools;
-    }
-
-    if (response_body.contains("max_output_tokens")) {
-        chatcmpl_body.erase("max_output_tokens");
-        chatcmpl_body["max_tokens"] = response_body["max_output_tokens"];
-    }
-
-    return chatcmpl_body;
-}
-
-json convert_anthropic_to_oai(const json & body) {
-    json oai_body;
-
-    // Convert system prompt
-    json oai_messages = json::array();
-    auto system_param = json_value(body, "system", json());
-    if (!system_param.is_null()) {
-        std::string system_content;
-
-        if (system_param.is_string()) {
-            system_content = system_param.get<std::string>();
-        } else if (system_param.is_array()) {
-            for (const auto & block : system_param) {
-                if (json_value(block, "type", std::string()) == "text") {
-                    system_content += json_value(block, "text", std::string());
-                }
-            }
-        }
-
-        oai_messages.push_back({
-            {"role", "system"},
-            {"content", system_content}
-        });
-    }
-
-    // Convert messages
-    if (!body.contains("messages")) {
-        throw std::runtime_error("'messages' is required");
-    }
-    const json & messages = body.at("messages");
-    if (messages.is_array()) {
-        for (const auto & msg : messages) {
-            std::string role = json_value(msg, "role", std::string());
-
-            if (!msg.contains("content")) {
-                if (role == "assistant") {
-                    continue;
-                }
-                oai_messages.push_back(msg);
-                continue;
-            }
-
-            const json & content = msg.at("content");
-
-            if (content.is_string()) {
-                oai_messages.push_back(msg);
-                continue;
-            }
-
-            if (!content.is_array()) {
-                oai_messages.push_back(msg);
-                continue;
-            }
-
-            json tool_calls = json::array();
-            json converted_content = json::array();
-            json tool_results = json::array();
-            std::string reasoning_content;
-            bool has_tool_calls = false;
-
-            for (const auto & block : content) {
-                std::string type = json_value(block, "type", std::string());
-
-                if (type == "text") {
-                    converted_content.push_back(block);
-                } else if (type == "thinking") {
-                    reasoning_content += json_value(block, "thinking", std::string());
-                } else if (type == "image") {
-                    json source = json_value(block, "source", json::object());
-                    std::string source_type = json_value(source, "type", std::string());
-
-                    if (source_type == "base64") {
-                        std::string media_type = json_value(source, "media_type", std::string("image/jpeg"));
-                        std::string data = json_value(source, "data", std::string());
-                        std::ostringstream ss;
-                        ss << "data:" << media_type << ";base64," << data;
-
-                        converted_content.push_back({
-                            {"type", "image_url"},
-                            {"image_url", {
-                                {"url", ss.str()}
-                            }}
-                        });
-                    } else if (source_type == "url") {
-                        std::string url = json_value(source, "url", std::string());
-                        converted_content.push_back({
-                            {"type", "image_url"},
-                            {"image_url", {
-                                {"url", url}
-                            }}
-                        });
-                    }
-                } else if (type == "tool_use") {
-                    tool_calls.push_back({
-                        {"id", json_value(block, "id", std::string())},
-                        {"type", "function"},
-                        {"function", {
-                            {"name", json_value(block, "name", std::string())},
-                            {"arguments", json_value(block, "input", json::object()).dump()}
-                        }}
-                    });
-                    has_tool_calls = true;
-                } else if (type == "tool_result") {
-                    std::string tool_use_id = json_value(block, "tool_use_id", std::string());
-
-                    auto result_content = json_value(block, "content", json());
-                    std::string result_text;
-                    if (result_content.is_string()) {
-                        result_text = result_content.get<std::string>();
-                    } else if (result_content.is_array()) {
-                        for (const auto & c : result_content) {
-                            if (json_value(c, "type", std::string()) == "text") {
-                                result_text += json_value(c, "text", std::string());
-                            }
-                        }
-                    }
-
-                    tool_results.push_back({
-                        {"role", "tool"},
-                        {"tool_call_id", tool_use_id},
-                        {"content", result_text}
-                    });
-                }
-            }
-
-            if (!converted_content.empty() || has_tool_calls || !reasoning_content.empty()) {
-                json new_msg = {{"role", role}};
-                if (!converted_content.empty()) {
-                    new_msg["content"] = converted_content;
-                } else if (has_tool_calls || !reasoning_content.empty()) {
-                    new_msg["content"] = "";
-                }
-                if (!tool_calls.empty()) {
-                    new_msg["tool_calls"] = tool_calls;
-                }
-                if (!reasoning_content.empty()) {
-                    new_msg["reasoning_content"] = reasoning_content;
-                }
-                oai_messages.push_back(new_msg);
-            }
-
-            for (const auto & tool_msg : tool_results) {
-                oai_messages.push_back(tool_msg);
-            }
-        }
-    }
-
-    oai_body["messages"] = oai_messages;
-
-    // Convert tools
-    if (body.contains("tools")) {
-        const json & tools = body.at("tools");
-        if (tools.is_array()) {
-            json oai_tools = json::array();
-            for (const auto & tool : tools) {
-                oai_tools.push_back({
-                    {"type", "function"},
-                    {"function", {
-                        {"name", json_value(tool, "name", std::string())},
-                        {"description", json_value(tool, "description", std::string())},
-                        {"parameters", tool.contains("input_schema") ? tool.at("input_schema") : json::object()}
-                    }}
-                });
-            }
-            oai_body["tools"] = oai_tools;
-        }
-    }
-
-    // Convert tool_choice
-    if (body.contains("tool_choice")) {
-        const json & tc = body.at("tool_choice");
-        if (tc.is_object()) {
-            std::string type = json_value(tc, "type", std::string());
-            if (type == "auto") {
-                oai_body["tool_choice"] = "auto";
-            } else if (type == "any" || type == "tool") {
-                oai_body["tool_choice"] = "required";
-            }
-        }
-    }
-
-    // Convert stop_sequences to stop
-    if (body.contains("stop_sequences")) {
-        oai_body["stop"] = body.at("stop_sequences");
-    }
-
-    // Handle max_tokens (required in Anthropic, but we're permissive)
-    if (body.contains("max_tokens")) {
-        oai_body["max_tokens"] = body.at("max_tokens");
-    } else {
-        oai_body["max_tokens"] = 4096;
-    }
-
-    // Pass through common params
-    for (const auto & key : {"temperature", "top_p", "top_k", "stream"}) {
-        if (body.contains(key)) {
-            oai_body[key] = body.at(key);
-        }
-    }
-
-    // Handle Anthropic-specific thinking param
-    if (body.contains("thinking")) {
-        json thinking = json_value(body, "thinking", json::object());
-        std::string thinking_type = json_value(thinking, "type", std::string());
-        if (thinking_type == "enabled") {
-            int budget_tokens = json_value(thinking, "budget_tokens", 10000);
-            oai_body["thinking_budget_tokens"] = budget_tokens;
-        }
-    }
-
-    // Handle Anthropic-specific metadata param
-    if (body.contains("metadata")) {
-        json metadata = json_value(body, "metadata", json::object());
-        std::string user_id = json_value(metadata, "user_id", std::string());
-        if (!user_id.empty()) {
-            oai_body["__metadata_user_id"] = user_id;
-        }
-    }
-
-    return oai_body;
-}
-
 json format_embeddings_response_oaicompat(
         const json & request,
         const std::string & model_name,
diff --git a/tools/server/server-common.h b/tools/server/server-common.h
index 213ae52bb..4681f9c51 100644
--- a/tools/server/server-common.h
+++ b/tools/server/server-common.h
@@ -92,6 +92,9 @@ std::string random_string();
 std::string gen_chatcmplid();
 std::string gen_tool_call_id();
 
+// get a random marker; note: each time the server restarts, the marker will be different
+const char * get_media_marker();
+
 //
 // lora utils
 //
@@ -187,7 +190,9 @@ struct server_tokens {
     void insert(const llama_tokens & inp_tokens);
 
     // for compatibility with speculative decoding, ctx shift, slot save/load
-    const llama_tokens & get_text_tokens() const;
+    const llama_tokens & get_tokens() const;
+
+    llama_tokens get_text_tokens() const;
 
     // for compatibility with speculative decoding
     void set_token(llama_pos pos, llama_token id);
@@ -302,12 +307,6 @@ json oaicompat_chat_params_parse(
     const server_chat_params & opt,
     std::vector<raw_buffer> & out_files);
 
-// convert OpenAI Responses API format to OpenAI Chat Completions API format
-json convert_responses_to_chatcmpl(const json & body);
-
-// convert Anthropic Messages API format to OpenAI Chat Completions API format
-json convert_anthropic_to_oai(const json & body);
-
 // TODO: move it to server-task.cpp
 json format_embeddings_response_oaicompat(
     const json & request,
diff --git a/tools/server/server-context.cpp b/tools/server/server-context.cpp
index 5523f23b5..4b28033d9 100644
--- a/tools/server/server-context.cpp
+++ b/tools/server/server-context.cpp
@@ -1,9 +1,12 @@
+
 #include "server-context.h"
+#include "server-chat.h"
 #include "server-common.h"
 #include "server-http.h"
 #include "server-task.h"
 #include "server-queue.h"
 
+#include "build-info.h"
 #include "common.h"
 #include "llama.h"
 #include "log.h"
@@ -18,6 +21,7 @@
 #include <exception>
 #include <memory>
 #include <filesystem>
+#include <utility>
 
 // fix problem with std::min and std::max
 #if defined(_WIN32)
@@ -32,6 +36,32 @@ using json = nlohmann::ordered_json;
 
 constexpr int HTTP_POLLING_SECONDS = 1;
 
+static void server_prompt_checkpoint_update(server_prompt_checkpoint & ckpt, llama_context * ctx, int id, int64_t n_tokens, bool on_device, llama_pos pos_min = -1, llama_pos pos_max = -1) {
+    if (pos_min == -1) {
+        pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), id);
+    }
+    if (pos_max == -1) {
+        pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), id);
+    }
+
+    auto flags = LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY;
+    if (on_device) {
+        flags |= LLAMA_STATE_SEQ_FLAGS_ON_DEVICE;
+    }
+
+    const size_t checkpoint_size = llama_state_seq_get_size_ext(ctx, id, flags);
+
+    ckpt.pos_min  = pos_min;
+    ckpt.pos_max  = pos_max;
+    ckpt.n_tokens = n_tokens;
+    ckpt.data.resize(checkpoint_size);
+
+    const size_t n = llama_state_seq_get_data_ext(ctx, ckpt.data.data(), checkpoint_size, id, flags);
+    if (n != checkpoint_size) {
+        GGML_ABORT("checkpoint size mismatch: expected %zu, got %zu\n", checkpoint_size, n);
+    }
+}
+
 // state diagram: https://github.com/ggml-org/llama.cpp/pull/9283
 enum slot_state {
     SLOT_STATE_IDLE,
@@ -50,13 +80,18 @@ enum server_state {
 struct server_slot {
     int id;
 
-    // TODO: change to unique_ptrs for consistency:
     llama_context * ctx = nullptr;
 
+    common_context_seq_rm_type ctx_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
+
     // multimodal
     mtmd_context * mctx = nullptr;
 
-    common_speculative * spec = nullptr;
+    // speculative decoding
+    llama_tokens spec_draft;
+    std::vector<int32_t> spec_i_batch;
+    server_prompt_checkpoint spec_ckpt;
+    common_speculative_ptr spec;
 
     // TODO: move members that belong to the task (such as `generated_text`, `has_new_line`) to task_results_state
     //       see https://github.com/ggml-org/llama.cpp/pull/18283#issuecomment-3710175837
@@ -82,11 +117,6 @@ struct server_slot {
     std::string  debug_generated_text;
     llama_tokens generated_tokens;
 
-    // idx of draft tokens in the main batch
-    // non-empty if we went to evaluate draft tokens
-    // ref: https://github.com/ggml-org/llama.cpp/pull/17808
-    std::vector<int32_t> i_batch_dft;
-
     std::vector<completion_token_output> generated_token_probs;
 
     bool has_next_token = true;
@@ -146,8 +176,7 @@ struct server_slot {
 
     common_sampler_ptr smpl;
 
-    llama_token  sampled; // in speculative mode, this is the last accepted token
-    llama_tokens drafted;
+    llama_token sampled; // in speculative mode, this is the last accepted token
 
     // stats
     size_t n_sent_text = 0; // number of sent text character
@@ -177,8 +206,11 @@ struct server_slot {
         stopping_word  = "";
         n_sent_text    = 0;
 
-        drafted.clear();
-        i_batch_dft.clear();
+        if (can_speculate()) {
+            spec_draft.clear();
+            spec_i_batch.clear();
+            spec_ckpt.clear();
+        }
         generated_tokens.clear();
         generated_token_probs.clear();
         json_schema = json();
@@ -278,8 +310,10 @@ struct server_slot {
             return 0;
         }
 
+        const int n_draft_min = common_speculative_n_min(spec.get(), task->params.speculative);
+
         // determine the max draft that fits the current slot state
-        int n_draft_max = task->params.speculative.n_max;
+        int n_draft_max = common_speculative_n_max(spec.get(), task->params.speculative);
 
         // note: slot.prompt is not yet expanded with the `id` token sampled above
         //       also, need to leave space for 1 extra token to allow context shifts
@@ -291,14 +325,92 @@ struct server_slot {
 
         SLT_DBG(*this, "max possible draft: %d\n", n_draft_max);
 
-        if (n_draft_max < task->params.speculative.n_min) {
-            SLT_DBG(*this, "the max possible draft is too small: %d < %d - skipping speculative decoding\n", n_draft_max, task->params.speculative.n_min);
+        if (n_draft_max < n_draft_min) {
+            SLT_DBG(*this, "the max possible draft is too small: %d < %d - skipping speculative decoding\n", n_draft_max, n_draft_min);
             n_draft_max = 0;
         }
 
         return n_draft_max;
     }
 
+    void update_batch(llama_batch & batch) {
+        const int n_draft_max = get_n_draft_max();
+        if (n_draft_max > 0) {
+            GGML_ASSERT(can_speculate());
+
+            // generate draft tokens in speculative decoding mode
+            // TODO: rework to have a single draft llama_context shared across all slots [TAG_SERVER_SPEC_REWORK]
+            //       perform the speculative drafting for all sequences at the same time in a single batch
+            const llama_tokens & tokens = prompt.tokens.get_text_tokens();
+
+            const auto & params_spec = task->params.speculative;
+
+            if (!spec_draft.empty()) {
+                // we have a previous (partial) draft to reuse
+                if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+                    GGML_ASSERT(!spec_ckpt.empty());
+                }
+            } else {
+                GGML_ASSERT(spec_i_batch.empty());
+
+                // generate a new draft
+                spec_draft = common_speculative_draft(spec.get(), params_spec, tokens, sampled);
+                n_draft_total += spec_draft.size();
+
+                if (spec_draft.size() > (size_t) n_draft_max) {
+                    SLT_WRN(*this, "draft size %d exceeds max %d, truncating\n", (int) spec_draft.size(), n_draft_max);
+                    spec_draft.resize(n_draft_max);
+                }
+
+                if (!spec_draft.empty() && ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+                    const auto n_tokens = prompt.tokens.size();
+
+                    //const int64_t t_start = ggml_time_us();
+
+                    server_prompt_checkpoint_update(spec_ckpt, ctx, this->id, n_tokens, true);
+
+                    //const int64_t t_total = ggml_time_us() - t_start;
+                    //printf("checkpoint total: %f ms\n", t_total / 1000.0);
+
+                    SLT_DBG(*this, "created speculative checkpoint (pos_min = %d, pos_max = %d, n_tokens = %zu, size = %.3f MiB)\n",
+                            spec_ckpt.pos_min, spec_ckpt.pos_max, n_tokens, (float) spec_ckpt.data.size() / 1024 / 1024);
+                }
+            }
+
+            GGML_ASSERT(spec_draft.size() <= (size_t) n_draft_max);
+        }
+
+        if (spec_draft.empty()) {
+            // no speculative decoding
+            i_batch = batch.n_tokens;
+
+            common_batch_add(batch, sampled, prompt.tokens.pos_next(), { this->id }, true);
+
+            SLT_DBG(*this, "slot decode token, id=%d, n_ctx = %d, n_tokens = %d, truncated = %d\n",
+                    sampled, n_ctx, prompt.n_tokens(), truncated);
+        } else {
+            SLT_DBG(*this, "generate_draft: id=%d, #tokens=%zu, #draft=%zu, pos_next=%d\n",
+                    sampled, prompt.tokens.size(), spec_draft.size(), prompt.tokens.pos_next());
+
+            GGML_ASSERT(spec_i_batch.empty());
+
+            spec_i_batch.push_back(batch.n_tokens);
+            for (size_t i = 0; i < spec_draft.size(); i++) {
+                spec_i_batch.push_back(batch.n_tokens + i + 1);
+            }
+
+            auto pos0 = prompt.tokens.pos_next();
+
+            common_batch_add(batch, sampled, pos0++, { this->id }, true);
+            for (auto token : spec_draft) {
+                common_batch_add(batch, token, pos0++, { this->id }, true);
+            }
+        }
+
+        prompt.tokens.push_back(sampled);
+        prompt.tokens.insert(spec_draft);
+    }
+
     void release() {
         if (is_processing()) {
             GGML_ASSERT(task);
@@ -399,7 +511,7 @@ struct server_slot {
             );
         }
 
-        common_speculative_print_stats(spec);
+        common_speculative_print_stats(spec.get());
     }
 
     json to_json(bool only_metrics = false) const {
@@ -567,9 +679,14 @@ struct server_context_impl {
 
     int32_t n_ctx; // total context for all clients / slots
 
+    // set to llama_model_n_swa(model)
+    // if swa_full is enabled, this is set to 0 to simulate a non-SWA model
+    int32_t n_swa;
+
     // slots / clients
     std::vector<server_slot> slots;
 
+    int trace = 0;
     int slots_debug = 0;
     int n_empty_consecutive = 0;
 
@@ -590,16 +707,17 @@ struct server_context_impl {
 
     void destroy() {
         llama_init.reset();
+
         ctx = nullptr;
         model = nullptr;
 
         mtmd_free(mctx);
         mctx = nullptr;
 
-        // Clear any sampling context
         for (server_slot & slot : slots) {
-            common_speculative_free(slot.spec);
-            slot.spec = nullptr;
+            if (slot.can_speculate()) {
+                slot.spec.reset();
+            }
         }
 
         llama_batch_free(batch);
@@ -610,7 +728,7 @@ struct server_context_impl {
             return;
         }
         SLT_INF(slot, "%s", "saving idle slot to prompt cache\n");
-        SLT_DBG(slot, "%s", "__TEST_TAG_CLEAR_IDLE_SLOT__\n");
+        SLT_DBG(slot, "%s", "__TEST_TAG_CACHE_IDLE_SLOT__\n");
         slot.prompt_save(*prompt_cache);
         slot.prompt_clear(false);
         prompt_cache->update();
@@ -632,7 +750,7 @@ struct server_context_impl {
 
     // load the model and initialize llama_context
     // this may also be called to resume from sleeping state
-    bool load_model(const common_params & params) {
+    bool load_model(common_params & params) {
         bool is_resume = sleeping;
 
         SRV_INF("loading model '%s'\n", params.model.path.c_str());
@@ -656,9 +774,10 @@ struct server_context_impl {
         add_bos_token = llama_vocab_get_add_bos(vocab);
 
         if (params_base.speculative.has_dft()) {
-            SRV_INF("loading draft model '%s'\n", params_base.speculative.mparams_dft.path.c_str());
+            // TODO speculative: move to common/speculative.cpp?
+            const auto & params_spec = params_base.speculative.draft;
 
-            const auto & params_spec = params_base.speculative;
+            SRV_INF("loading draft model '%s'\n", params_spec.mparams.path.c_str());
 
             auto params_dft = params_base;
 
@@ -666,7 +785,7 @@ struct server_context_impl {
             params_dft.n_ctx        = params_spec.n_ctx == 0 ? llama_n_ctx_seq(ctx) : params_spec.n_ctx;
             params_dft.n_batch      = llama_n_ctx_seq(ctx);
             params_dft.devices      = params_spec.devices;
-            params_dft.model        = params_spec.mparams_dft;
+            params_dft.model        = params_spec.mparams;
             params_dft.n_gpu_layers = params_spec.n_gpu_layers;
             params_dft.cache_type_k = params_spec.cache_type_k;
             params_dft.cache_type_v = params_spec.cache_type_v;
@@ -686,8 +805,8 @@ struct server_context_impl {
                 return false;
             }
 
-            params_base.speculative.model_dft = model_dft.get();
-            params_base.speculative.cparams_dft = common_context_params_to_llama(params_dft);
+            params_base.speculative.draft.model = model_dft.get();
+            params_base.speculative.draft.cparams = common_context_params_to_llama(params_dft);
         }
 
         std::string & mmproj_path = params_base.mmproj.path;
@@ -705,6 +824,7 @@ struct server_context_impl {
             mparams.warmup           = params_base.warmup;
             mparams.image_min_tokens = params_base.image_min_tokens;
             mparams.image_max_tokens = params_base.image_max_tokens;
+            mparams.media_marker     = get_media_marker();
 
             mctx = mtmd_init_from_file(mmproj_path.c_str(), model, mparams);
             if (mctx == nullptr) {
@@ -722,11 +842,6 @@ struct server_context_impl {
                 params_base.n_cache_reuse = 0;
                 SRV_WRN("%s\n", "cache_reuse is not supported by multimodal, it will be disabled");
             }
-
-            if (params_base.speculative.type != COMMON_SPECULATIVE_TYPE_NONE) {
-                params_base.speculative.type =  COMMON_SPECULATIVE_TYPE_NONE;
-                SRV_WRN("%s\n", "speculative decoding is not supported by multimodal, it will be disabled");
-            }
         }
 
         if (!llama_memory_can_shift(llama_get_memory(ctx))) {
@@ -748,6 +863,8 @@ struct server_context_impl {
             }
         }
 
+        n_swa = params_base.swa_full ? 0 : llama_model_n_swa(model);
+
         // Necessary similarity of prompt for slot selection
         slot_prompt_similarity = params_base.slot_prompt_similarity;
 
@@ -764,33 +881,38 @@ struct server_context_impl {
 
         slots.clear();
 
-        const bool can_spec = common_speculative_is_compat(ctx);
-        if (!can_spec) {
+        const auto ctx_seq_rm_type = common_context_can_seq_rm(ctx);
+        if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_NO) {
             SRV_WRN("%s", "speculative decoding not supported by this context\n");
         }
 
+        if (ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) {
+            SRV_WRN("%s", "speculative decoding will use checkpoints\n");
+        }
+
         // initialize slots
         for (int i = 0; i < params_base.n_parallel; i++) {
-            server_slot slot;
+            slots.emplace_back();
+        }
+
+        for (int i = 0; i < params_base.n_parallel; i++) {
+            server_slot & slot = slots[i];
 
             slot.id    = i;
             slot.ctx   = ctx;
             slot.n_ctx = n_ctx_slot;
 
+            slot.ctx_seq_rm_type = ctx_seq_rm_type;
+
             slot.mctx                   = mctx;
             slot.prompt.tokens.has_mtmd = mctx != nullptr;
 
             // try speculative decoding
-            if (can_spec) {
-                slot.spec = common_speculative_init(params_base.speculative, slot.ctx);
+            if (ctx_seq_rm_type != COMMON_CONTEXT_SEQ_RM_TYPE_NO) {
+                slot.spec.reset(common_speculative_init(params_base.speculative, slot.ctx));
+
                 if (slot.spec) {
-                    if (mctx) {
-                        SRV_ERR("%s\n", "speculative decoding is not supported with multimodal");
-                        return false;
-                    }
                     SLT_INF(slot, "%s", "speculative decoding context initialized\n");
-                } else {
-                    SLT_INF(slot, "%s", "speculative decoding context not initialized\n");
                 }
             }
 
@@ -801,8 +923,15 @@ struct server_context_impl {
             };
 
             slot.reset();
+        }
 
-            slots.push_back(std::move(slot));
+        {
+            const char * LLAMA_TRACE = getenv("LLAMA_TRACE");
+            trace = LLAMA_TRACE ? atoi(LLAMA_TRACE) : 0;
+
+            if (trace) {
+                SRV_WRN("LLAMA_TRACE = %d\n", trace);
+            }
         }
 
         {
@@ -810,7 +939,7 @@ struct server_context_impl {
             slots_debug = LLAMA_SERVER_SLOTS_DEBUG ? atoi(LLAMA_SERVER_SLOTS_DEBUG) : 0;
 
             if (slots_debug) {
-                SRV_WRN("slots debug = %d\n", slots_debug);
+                SRV_WRN("LLAMA_SERVER_SLOTS_DEBUG = %d\n", slots_debug);
             }
         }
 
@@ -849,6 +978,9 @@ struct server_context_impl {
         model_aliases = params_base.model_alias;
         model_tags    = params_base.model_tags;
 
+        // propagate new defaults back to caller
+        params = params_base;
+
         if (!is_resume) {
             return init();
         }
@@ -875,16 +1007,16 @@ struct server_context_impl {
 
         metrics.init();
 
-        if (params_base.clear_idle) {
+        if (params_base.cache_idle_slots) {
             if (!params_base.kv_unified) {
-                SRV_WRN("%s: --clear-idle requires --kv-unified, disabling\n", __func__);
-                params_base.clear_idle = false;
+                SRV_WRN("%s: --cache-idle-slots requires --kv-unified, disabling\n", __func__);
+                params_base.cache_idle_slots = false;
             } else if (params_base.cache_ram_mib == 0) {
-                SRV_WRN("%s: --clear-idle requires --cache-ram, disabling\n", __func__);
-                params_base.clear_idle = false;
+                SRV_WRN("%s: --cache-idle-slots requires --cache-ram, disabling\n", __func__);
+                params_base.cache_idle_slots = false;
             } else {
                 SRV_INF("%s: idle slots will be saved to prompt cache and cleared upon starting a new task\n", __func__);
-                SRV_DBG("%s", "__TEST_TAG_CLEAR_IDLE_ENABLED__\n");
+                SRV_DBG("%s", "__TEST_TAG_CACHE_IDLE_SLOTS_ENABLED__\n");
             }
         }
 
@@ -933,8 +1065,8 @@ struct server_context_impl {
                 /* allow_image           */ mctx ? mtmd_support_vision(mctx) : false,
                 /* allow_audio           */ mctx ? mtmd_support_audio (mctx) : false,
                 /* enable_thinking       */ enable_thinking,
-                /* reasoning_budget      */ params_base.reasoning_budget,
-                /* reasoning_budget_msg  */ params_base.reasoning_budget_message,
+                /* reasoning_budget      */ params_base.sampling.reasoning_budget_tokens,
+                /* reasoning_budget_msg  */ params_base.sampling.reasoning_budget_message,
                 /* media_path            */ params_base.media_path,
                 /* force_pure_content    */ params_base.force_pure_content_parser
             };
@@ -1192,7 +1324,7 @@ struct server_context_impl {
             backend_sampling &= task.params.sampling.backend_sampling;
 
             // TODO: speculative decoding requires multiple samples per batch - not supported yet
-            backend_sampling &= !(slot.spec && task.params.speculative.n_max > 0);
+            backend_sampling &= !(slot.can_speculate() && common_speculative_n_max(slot.spec.get(), task.params.speculative) > 0);
 
             // TODO: getting post/pre sampling logits is not yet supported with backend sampling
             backend_sampling &= !need_logits;
@@ -1698,6 +1830,27 @@ struct server_context_impl {
         return true;
     }
 
+    // n_tokens_cur: the number of tokens added to the batch for the current slot
+    void create_checkpoint(server_slot & slot, const int64_t n_tokens_cur, llama_pos pos_min, llama_pos pos_max) {
+        while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
+            // make room for the new checkpoint, if needed
+            const auto & cur = slot.prompt.checkpoints.front();
+
+            SLT_WRN(slot, "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n",
+                    cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+
+            slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
+        }
+
+        auto & cur = slot.prompt.checkpoints.emplace_back();
+        server_prompt_checkpoint_update(cur, ctx, slot.id, slot.prompt.n_tokens() - n_tokens_cur, false, pos_min, pos_max);
+
+        SLT_WRN(slot,
+                "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n",
+                (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min,
+                cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+    }
+
     void process_single_task(server_task && task) {
         switch (task.type) {
             case SERVER_TASK_TYPE_COMPLETION:
@@ -1754,7 +1907,7 @@ struct server_context_impl {
                         break; // drop the task
                     }
 
-                    if (params_base.clear_idle) {
+                    if (params_base.cache_idle_slots) {
                         for (auto & s : slots) {
                             if (!s.is_processing()) {
                                 slot_save_and_clear(s);
@@ -1849,7 +2002,7 @@ struct server_context_impl {
                     std::string filename = task.slot_action.filename;
                     std::string filepath = task.slot_action.filepath;
 
-                    const llama_tokens & tokens = slot->prompt.tokens.get_text_tokens();
+                    const llama_tokens & tokens = slot->prompt.tokens.get_tokens();
                     const size_t nwrite = llama_state_seq_save_file(ctx, filepath.c_str(), slot->id, tokens.data(), token_count);
 
                     const int64_t t_end = ggml_time_us();
@@ -2056,7 +2209,7 @@ struct server_context_impl {
                 {
                     GGML_ASSERT(!slot.prompt.tokens.has_mtmd);
 
-                    llama_tokens new_tokens = slot.prompt.tokens.get_text_tokens(); // copy
+                    llama_tokens new_tokens = slot.prompt.tokens.get_tokens(); // copy
                     for (size_t i = n_keep + n_discard; i < new_tokens.size(); i++) {
                         new_tokens[i - n_discard] = new_tokens[i];
                     }
@@ -2095,61 +2248,7 @@ struct server_context_impl {
                 continue;
             }
 
-            // generate draft tokens in speculative decoding mode
-            // TODO: rework to have a single draft llama_context shared across all slots [TAG_SERVER_SPEC_REWORK]
-            //       perform the speculative drafting for all sequences at the same time in a single batch
-            const int n_draft_max = slot.get_n_draft_max();
-            if (n_draft_max > 0) {
-                if (mctx) {
-                    // we should never reach this, as speculative is automatically disabled if mmproj is loaded
-                    GGML_ABORT("not supported by multimodal");
-                }
-
-                const llama_tokens & cached_text_tokens = slot.prompt.tokens.get_text_tokens();
-
-                const auto & params_spec = slot.task->params.speculative;
-
-                llama_tokens draft = common_speculative_draft(slot.spec, params_spec, cached_text_tokens, slot.sampled);
-
-                if (draft.size() > (size_t) n_draft_max) {
-                    SLT_WRN(slot, "draft size %d exceeds max %d, truncating\n", (int) draft.size(), n_draft_max);
-                    draft.resize(n_draft_max);
-                }
-
-                // add the sampled token to the batch
-                slot.i_batch_dft.push_back(batch.n_tokens);
-                common_batch_add(batch, slot.sampled, slot.prompt.tokens.pos_next(), { slot.id }, true);
-                slot.prompt.tokens.push_back(slot.sampled);
-
-                if (slot.task->params.speculative.n_min > (int) draft.size()) {
-                    SLT_DBG(slot, "ignoring small draft: %d < %d\n", (int) draft.size(), slot.task->params.speculative.n_min);
-                    // fallback to normal decoding
-                    slot.i_batch = slot.i_batch_dft[0];
-                    slot.drafted.clear();
-                    slot.i_batch_dft.clear();
-                } else {
-                    // keep track of total number of drafted tokens tested
-                    slot.n_draft_total += draft.size();
-
-                    // add all drafted tokens to the batch
-                    for (size_t i = 0; i < draft.size(); i++) {
-                        slot.i_batch_dft.push_back(batch.n_tokens);
-                        common_batch_add(batch, draft[i], slot.prompt.tokens.pos_next(), { slot.id }, true);
-                        slot.prompt.tokens.push_back(draft[i]);
-                    }
-                    slot.drafted = std::move(draft);
-                }
-            } else {
-                // no speculative decoding
-                slot.i_batch = batch.n_tokens;
-
-                common_batch_add(batch, slot.sampled, slot.prompt.tokens.pos_next(), { slot.id }, true);
-
-                slot.prompt.tokens.push_back(slot.sampled);
-
-                SLT_DBG(slot, "slot decode token, n_ctx = %d, n_tokens = %d, truncated = %d\n",
-                        slot.n_ctx, slot.prompt.n_tokens(), slot.truncated);
-            }
+            slot.update_batch(batch);
         }
 
         // process in chunks of params.n_batch
@@ -2337,9 +2436,6 @@ struct server_context_impl {
 
                             llama_pos pos_next = slot.prompt.tokens.pos_next(n_past);
 
-                            // note: when n_swa == 0, the model does not use SWA
-                            const auto n_swa = std::max(0, llama_model_n_swa(model));
-
                             // the largest pos_min required for a checkpoint to be useful
                             const auto pos_min_thold = std::max(0, pos_next - n_swa);
 
@@ -2404,7 +2500,7 @@ struct server_context_impl {
                                             // guarantee that a checkpoint will result in at least one token being processed [TAG_PROMPT_LOGITS]
                                             LOG_INF("slot %12.*s: id %2d | task %d | Checking checkpoint with [%d, %d] against %d...\n", 12,
                                                 func_name, (slot).id, ((slot).task ? (slot).task->id : -1), cur.pos_min, cur.pos_max, pos_min_thold);
-                                            return cur.pos_min < pos_min_thold;
+                                            return cur.pos_min < pos_min_thold || cur.pos_min == 0;
                                         }
                                     );
 
@@ -2510,15 +2606,11 @@ struct server_context_impl {
 
                     // make a checkpoint of the parts of the memory that cannot be rolled back.
                     // checkpoints are created only if:
-                    // - the model uses SWA and we are not using `swa_full`
-                    // - the model architecture is marked as recurrent or hybrid
-                    //
-                    // TODO: try to make this conditional on the context or the memory module, instead of the model type
+                    // - the model does not support partial sequence removal
+                    // - the model uses SWA (and we are not using `swa_full`)
                     do_checkpoint = do_checkpoint && (
-                            llama_model_is_recurrent(model) ||
-                            llama_model_is_hybrid(model) ||
-                            (llama_model_n_swa(model) > 0 && !params_base.swa_full)
-                            );
+                            (slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL) ||
+                            (n_swa > 0));
 
                     bool has_mtmd = false;
 
@@ -2646,40 +2738,12 @@ struct server_context_impl {
 
                     // no need to create checkpoints that are too close together
                     do_checkpoint = do_checkpoint && (slot.prompt.checkpoints.empty() || slot.prompt.n_tokens() - n_tokens_cur > slot.prompt.checkpoints.back().n_tokens + 64);
+                    SLT_DBG(slot, "main/do_checkpoint = %s, pos_min = %d, pos_max = %d\n", do_checkpoint ? "yes" : "no", pos_min, pos_max);
 
                     // note: we create the checkpoint before calling llama_decode(), so the current batch is not
                     //       yet processed and therefore it is not part of the checkpoint.
                     if (do_checkpoint) {
-                        while (slot.prompt.checkpoints.size() >= (size_t) params_base.n_ctx_checkpoints) {
-                            // make room for the new checkpoint, if needed
-                            const auto & cur = slot.prompt.checkpoints.front();
-
-                            SLT_WRN(slot,
-                                    "erasing old context checkpoint (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
-                                    ", size = %.3f MiB)\n",
-                                    cur.pos_min, cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
-
-                            slot.prompt.checkpoints.erase(slot.prompt.checkpoints.begin());
-                        }
-
-                        const size_t checkpoint_size =
-                            llama_state_seq_get_size_ext(ctx, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
-
-                        auto & cur = slot.prompt.checkpoints.emplace_back(server_prompt_checkpoint{
-                            /*.pos_min  = */ pos_min,
-                            /*.pos_max  = */ pos_max,
-                            /*.n_tokens = */ slot.prompt.n_tokens() - n_tokens_cur,
-                            /*.data     = */ std::vector<uint8_t>(checkpoint_size),
-                        });
-
-                        llama_state_seq_get_data_ext(ctx, cur.data.data(), checkpoint_size, slot.id,
-                                                     LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
-
-                        SLT_WRN(slot,
-                                "created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64
-                                ", size = %.3f MiB)\n",
-                                (int) slot.prompt.checkpoints.size(), params_base.n_ctx_checkpoints, cur.pos_min,
-                                cur.pos_max, cur.n_tokens, (float) cur.data.size() / 1024 / 1024);
+                        create_checkpoint(slot, n_tokens_cur, pos_min, pos_max);
                     }
                 }
 
@@ -2851,19 +2915,19 @@ struct server_context_impl {
                     slot.state = SLOT_STATE_GENERATING;
 
                     if (slot.can_speculate()) {
-                        common_speculative_begin(slot.spec, slot.prompt.tokens.get_text_tokens());
+                        common_speculative_begin(slot.spec.get(), slot.prompt.tokens.get_text_tokens());
                     }
                 } else if (slot.state != SLOT_STATE_GENERATING) {
                     continue; // continue loop of slots
                 }
 
-                if (slot.i_batch_dft.size() > 0) {
+                if (slot.can_speculate() && !slot.spec_draft.empty()) {
                     continue; // sample using speculative decoding
                 }
 
                 const int tok_idx = slot.i_batch - i;
 
-                llama_token id = common_sampler_sample(slot.smpl.get(), ctx, tok_idx);
+                llama_token id = common_sampler_sample(slot.smpl.get(), slot.ctx, tok_idx);
 
                 slot.i_batch = -1;
 
@@ -2884,7 +2948,7 @@ struct server_context_impl {
 
                 completion_token_output result;
                 result.tok          = id;
-                result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok));
+                result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok));
                 result.prob         = 1.0f; // TODO: set it here instead of doing inside populate_token_probs
 
                 if (slot.task->params.sampling.n_probs > 0) {
@@ -2904,43 +2968,94 @@ struct server_context_impl {
 
             // speculative decoding - main model sample and accept
             for (auto & slot : slots) {
-                if (slot.state != SLOT_STATE_GENERATING || slot.i_batch_dft.empty()) {
+                if (slot.state != SLOT_STATE_GENERATING || !slot.can_speculate() || slot.spec_draft.empty()) {
                     continue;
                 }
 
-                const size_t n_draft = slot.drafted.size();
+                // save the original draft size
+                const size_t n_draft = slot.spec_draft.size();
+
+                GGML_ASSERT(n_draft > 0);
+
+                // verify and try to accept the draft
+                {
+                    const bool use_ckpt = slot.ctx_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_FULL;
+
+                    // only save the sampler sampler state if we use checkpoints
+                    common_sampler_ptr smpl_save;
+                    if (use_ckpt) {
+                        smpl_save.reset(common_sampler_clone(slot.smpl.get()));
+                    }
+
+                    GGML_ASSERT(slot.spec_i_batch.size() == n_draft + 1);
+                    auto accepted = common_sampler_sample_and_accept_n(slot.smpl.get(), slot.ctx, slot.spec_i_batch, slot.spec_draft);
+                    slot.spec_i_batch.clear();
+
+                    GGML_ASSERT(accepted.size() >= 1);
+
+                    // check for partial draft acceptance
+                    if (accepted.size() < slot.spec_draft.size() + 1) {
+                        if (use_ckpt) {
+                            if (trace > 0) {
+                                SLT_INF(slot, "accepted %2zu/%2zu draft tokens (restore checkpoint)\n", accepted.size() - 1, slot.spec_draft.size());
+                            }
 
-                // the accepted tokens from the speculation
-                const auto ids = common_sampler_sample_and_accept_n(slot.smpl.get(), ctx, slot.i_batch_dft, slot.drafted);
-                slot.i_batch_dft.clear();
-                slot.drafted.clear();
+                            // partial acceptance is not supported by the context -> truncate the draft and restore the state
+                            slot.spec_draft = std::move(accepted);
+
+                            const auto & ckpt = slot.spec_ckpt;
+
+                            SLT_DBG(slot, "restoring speculative checkpoint (pos_min = %d, pos_max = %d, size = %zu)\n",
+                                    ckpt.pos_min, ckpt.pos_max, ckpt.size());
+
+                            const size_t n = llama_state_seq_set_data_ext(slot.ctx, ckpt.data.data(), ckpt.size(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY | LLAMA_STATE_SEQ_FLAGS_ON_DEVICE);
+                            if (n != ckpt.size()) {
+                                GGML_ABORT("%s: failed to restore context checkpoint (pos_min=%d, pos_max=%d, size=%zu, get_data_ext->%zu, set_data_ext->%zu",
+                                        __func__, ckpt.pos_min, ckpt.pos_max, ckpt.size(), ckpt.size(), n);
+                            }
+
+                            llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, ckpt.pos_max + 1, -1);
+
+                            slot.prompt.tokens.keep_first(ckpt.n_tokens);
+                            slot.smpl = std::move(smpl_save);
+
+                            continue;
+                        }
+                    }
+
+                    if (trace > 0) {
+                        SLT_INF(slot, "accepted %2zu/%2zu draft tokens\n", accepted.size() - 1, n_draft);
+                    }
+
+                    common_speculative_accept(slot.spec.get(), accepted.size() - 1);
+
+                    slot.spec_draft = std::move(accepted);
+                }
 
                 const int64_t t_current = ggml_time_us();
 
-                slot.n_decoded += ids.size();
+                const auto ids = std::move(slot.spec_draft);
 
+                slot.n_decoded += ids.size();
                 slot.t_token_generation = std::max<int64_t>(1, t_current - slot.t_start_generation) / 1e3;
 
                 // update how many tokens out of those tested were accepted
                 slot.n_draft_accepted += ids.size() - 1;
 
-                // inform the speculative decoding about the number of accepted tokens
-                common_speculative_accept(slot.spec, ids.size() - 1);
-
-                // rollback to the state before sampling the draft tokens
-                slot.prompt.tokens.keep_first(slot.prompt.n_tokens() - n_draft);
-
                 // add accepted tokens to the prompt
+                slot.prompt.tokens.keep_first(slot.prompt.n_tokens() - n_draft);
                 slot.prompt.tokens.insert({ids.begin(), ids.end() - 1});
+
                 slot.sampled = ids.back(); // last accepted token
+                SLT_DBG(slot, "add accepted tokens: sampled=%d, ids.size=%zu, n_draft=%zu\n", slot.sampled, ids.size(), n_draft);
 
-                llama_memory_seq_rm(llama_get_memory(ctx), slot.id, slot.prompt.n_tokens(), -1);
+                llama_memory_seq_rm(llama_get_memory(slot.ctx), slot.id, slot.prompt.tokens.pos_next(), -1);
 
                 for (size_t i = 0; i < ids.size(); ++i) {
                     completion_token_output result;
 
                     result.tok          = ids[i];
-                    result.text_to_send = common_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok));
+                    result.text_to_send = common_token_to_piece(slot.ctx, result.tok, accept_special_token(slot, result.tok));
                     result.prob         = 1.0f; // set later
 
                     // TODO: set result.probs
@@ -2978,7 +3093,7 @@ struct server_context_impl {
 server_context::server_context() : impl(new server_context_impl()) {}
 server_context::~server_context() = default;
 
-bool server_context::load_model(const common_params & params) {
+bool server_context::load_model(common_params & params) {
     return impl->load_model(params);
 }
 
@@ -3006,7 +3121,7 @@ server_context_meta server_context::get_meta() const {
     auto eos_token_str = eos_id != LLAMA_TOKEN_NULL ? common_token_to_piece(impl->ctx, eos_id, true) : "";
 
     return server_context_meta {
-        /* build_info             */ build_info,
+        /* build_info             */ std::string(llama_build_info()),
         /* model_name             */ impl->model_name,
         /* model_aliases          */ impl->model_aliases,
         /* model_tags             */ impl->model_tags,
@@ -3030,6 +3145,8 @@ server_context_meta server_context::get_meta() const {
         /* fim_rep_token          */ llama_vocab_fim_rep(impl->vocab),
         /* fim_sep_token          */ llama_vocab_fim_sep(impl->vocab),
 
+        /* logit_bias_eog         */ impl->params_base.sampling.logit_bias_eog,
+
         /* model_vocab_type       */ llama_vocab_type(impl->vocab),
         /* model_vocab_n_tokens   */ llama_vocab_n_tokens(impl->vocab),
         /* model_n_ctx_train      */ llama_model_n_ctx_train(impl->model),
@@ -3114,6 +3231,7 @@ std::unique_ptr<server_res_generator> server_routes::handle_completions_impl(
                     ctx_server.vocab,
                     params,
                     meta->slot_n_ctx,
+                    meta->logit_bias_eog,
                     data);
             task.id_slot = json_value(data, "id_slot", -1);
 
@@ -3529,6 +3647,7 @@ void server_routes::init_routes() {
                 {"vision", meta->has_inp_image},
                 {"audio",  meta->has_inp_audio},
             } },
+            { "media_marker",                get_media_marker() },
             { "endpoint_slots",              params.endpoint_slots },
             { "endpoint_props",              params.endpoint_props },
             { "endpoint_metrics",            params.endpoint_metrics },
@@ -3562,34 +3681,6 @@ void server_routes::init_routes() {
         return res;
     };
 
-    this->get_api_show = [this](const server_http_req &) {
-        auto res = create_response();
-        std::string tmpl_default = common_chat_templates_source(meta->chat_params.tmpls.get(), "");
-        json data = {
-            {
-                "model_info", {
-                    { "llama.context_length", meta->slot_n_ctx },
-                }
-            },
-            {"modelfile", ""},
-            {"parameters", ""},
-            {"template", tmpl_default},
-            {"details", {
-                {"parent_model", ""},
-                {"format", "gguf"},
-                {"family", ""},
-                {"families", {""}},
-                {"parameter_size", ""},
-                {"quantization_level", ""}
-            }},
-            {"model_info", ""},
-            {"capabilities", meta->has_mtmd ? json({"completion","multimodal"}) : json({"completion"})}
-        };
-
-        res->ok(data);
-        return res;
-    };
-
     this->post_infill = [this](const server_http_req & req) {
         auto res = create_response();
         // check model compatibility
@@ -3656,7 +3747,7 @@ void server_routes::init_routes() {
             params.n_predict,
             meta->slot_n_ctx,
             params.spm_infill,
-            tokenized_prompts[0].get_text_tokens() // TODO: this could maybe be multimodal.
+            tokenized_prompts[0].get_tokens() // TODO: this could maybe be multimodal.
         );
 
         std::vector<raw_buffer> files; // dummy
@@ -3711,7 +3802,7 @@ void server_routes::init_routes() {
     this->post_responses_oai = [this](const server_http_req & req) {
         auto res = create_response();
         std::vector<raw_buffer> files;
-        json body = convert_responses_to_chatcmpl(json::parse(req.body));
+        json body = server_chat_convert_responses_to_chatcmpl(json::parse(req.body));
         SRV_DBG("%s\n", "Request converted: OpenAI Responses -> OpenAI Chat Completions");
         SRV_DBG("converted request: %s\n", body.dump().c_str());
         json body_parsed = oaicompat_chat_params_parse(
@@ -3726,10 +3817,38 @@ void server_routes::init_routes() {
             TASK_RESPONSE_TYPE_OAI_RESP);
     };
 
+    this->post_transcriptions_oai = [this](const server_http_req & req) {
+        auto res = create_response();
+
+        if (!meta->has_mtmd || !meta->chat_params.allow_audio) {
+            res->error(format_error_response("The current model does not support audio input.", ERROR_TYPE_NOT_SUPPORTED));
+            return res;
+        }
+
+        std::vector<raw_buffer> files;
+        json body = convert_transcriptions_to_chatcmpl(
+            json::parse(req.body),
+            meta->chat_params.tmpls.get(),
+            req.files,
+            files);
+        SRV_DBG("%s\n", "Request converted: OpenAI Transcriptions -> OpenAI Chat Completions");
+        SRV_DBG("converted request: %s\n", body.dump().c_str());
+        json body_parsed = oaicompat_chat_params_parse(
+            body,
+            meta->chat_params,
+            files);
+        return handle_completions_impl(
+            req,
+            SERVER_TASK_TYPE_COMPLETION,
+            body_parsed,
+            files,
+            TASK_RESPONSE_TYPE_OAI_ASR);
+    };
+
     this->post_anthropic_messages = [this](const server_http_req & req) {
         auto res = create_response();
         std::vector<raw_buffer> files;
-        json body = convert_anthropic_to_oai(json::parse(req.body));
+        json body = server_chat_convert_anthropic_to_oai(json::parse(req.body));
         SRV_DBG("%s\n", "Request converted: Anthropic -> OpenAI Chat Completions");
         SRV_DBG("converted request: %s\n", body.dump().c_str());
         json body_parsed = oaicompat_chat_params_parse(
@@ -3747,7 +3866,7 @@ void server_routes::init_routes() {
     this->post_anthropic_count_tokens = [this](const server_http_req & req) {
         auto res = create_response();
         std::vector<raw_buffer> files;
-        json body = convert_anthropic_to_oai(json::parse(req.body));
+        json body = server_chat_convert_anthropic_to_oai(json::parse(req.body));
         SRV_DBG("%s\n", "Request converted: Anthropic -> OpenAI Chat Completions");
         SRV_DBG("converted request: %s\n", body.dump().c_str());
         json body_parsed = oaicompat_chat_params_parse(
diff --git a/tools/server/server-context.h b/tools/server/server-context.h
index a4d2201cb..37f10dc77 100644
--- a/tools/server/server-context.h
+++ b/tools/server/server-context.h
@@ -39,6 +39,9 @@ struct server_context_meta {
     llama_token fim_rep_token;
     llama_token fim_sep_token;
 
+    // sampling
+    std::vector<llama_logit_bias> logit_bias_eog;
+
     // model meta
     enum llama_vocab_type model_vocab_type;
     int32_t model_vocab_n_tokens;
@@ -56,7 +59,7 @@ struct server_context {
 
     // load the model and initialize llama_context
     // returns true on success
-    bool load_model(const common_params & params);
+    bool load_model(common_params & params);
 
     // this function will block main thread until termination
     void start_loop();
@@ -102,12 +105,12 @@ struct server_routes {
     server_http_context::handler_t post_slots;
     server_http_context::handler_t get_props;
     server_http_context::handler_t post_props;
-    server_http_context::handler_t get_api_show;
     server_http_context::handler_t post_infill;
     server_http_context::handler_t post_completions;
     server_http_context::handler_t post_completions_oai;
     server_http_context::handler_t post_chat_completions;
     server_http_context::handler_t post_responses_oai;
+    server_http_context::handler_t post_transcriptions_oai;
     server_http_context::handler_t post_anthropic_messages;
     server_http_context::handler_t post_anthropic_count_tokens;
     server_http_context::handler_t post_apply_template;
diff --git a/tools/server/server-cors-proxy.h b/tools/server/server-cors-proxy.h
index 887013152..2af0c7e1c 100644
--- a/tools/server/server-cors-proxy.h
+++ b/tools/server/server-cors-proxy.h
@@ -49,6 +49,7 @@ static server_http_res_ptr proxy_request(const server_http_req & req, std::strin
             parsed_url.path,
             headers,
             req.body,
+            req.files,
             req.should_stop,
             600, // timeout_read (default to 10 minutes)
             600  // timeout_write (default to 10 minutes)
diff --git a/tools/server/server-http.cpp b/tools/server/server-http.cpp
index 37e7cbe9c..6f24f83ef 100644
--- a/tools/server/server-http.cpp
+++ b/tools/server/server-http.cpp
@@ -143,7 +143,6 @@ bool server_http_context::init(const common_params & params) {
             "/v1/health",
             "/models",
             "/v1/models",
-            "/api/tags",
             "/",
             "/index.html",
             "/bundle.js",
@@ -428,6 +427,7 @@ void server_http_context::get(const std::string & path, const server_http_contex
             req.path,
             build_query_string(req),
             req.body,
+            {},
             req.is_connection_closed
         });
         server_http_res_ptr response = handler(*request);
@@ -437,12 +437,43 @@ void server_http_context::get(const std::string & path, const server_http_contex
 
 void server_http_context::post(const std::string & path, const server_http_context::handler_t & handler) const {
     pimpl->srv->Post(path_prefix + path, [handler](const httplib::Request & req, httplib::Response & res) {
+        std::string body = req.body;
+        std::map<std::string, uploaded_file> files;
+
+        if (req.is_multipart_form_data()) {
+            // translate text fields to a JSON object and use it as the body
+            json form_json = json::object();
+            for (const auto & [key, field] : req.form.fields) {
+                if (form_json.contains(key)) {
+                    // if the key already exists, convert it to an array
+                    if (!form_json[key].is_array()) {
+                        json existing_value = form_json[key];
+                        form_json[key] = json::array({existing_value});
+                    }
+                    form_json[key].push_back(field.content);
+                } else {
+                    form_json[key] = field.content;
+                }
+            }
+            body = form_json.dump();
+
+            // populate files from multipart form
+            for (const auto & [key, file] : req.form.files) {
+                files[key] = uploaded_file{
+                    raw_buffer(file.content.begin(), file.content.end()),
+                    file.filename,
+                    file.content_type,
+                };
+            }
+        }
+
         server_http_req_ptr request = std::make_unique<server_http_req>(server_http_req{
             get_params(req),
             get_headers(req),
             req.path,
             build_query_string(req),
-            req.body,
+            body,
+            std::move(files),
             req.is_connection_closed
         });
         server_http_res_ptr response = handler(*request);
diff --git a/tools/server/server-http.h b/tools/server/server-http.h
index f8a174c44..d4d3b6e53 100644
--- a/tools/server/server-http.h
+++ b/tools/server/server-http.h
@@ -5,6 +5,8 @@
 #include <map>
 #include <string>
 #include <thread>
+#include <vector>
+#include <cstdint>
 
 struct common_params;
 
@@ -32,6 +34,13 @@ struct server_http_res {
 // unique pointer, used by set_chunked_content_provider
 // httplib requires the stream provider to be stored in heap
 using server_http_res_ptr = std::unique_ptr<server_http_res>;
+using raw_buffer = std::vector<uint8_t>;
+
+struct uploaded_file {
+    raw_buffer data;
+    std::string filename;
+    std::string content_type;
+};
 
 struct server_http_req {
     std::map<std::string, std::string> params; // path_params + query_params
@@ -39,6 +48,7 @@ struct server_http_req {
     std::string path;
     std::string query_string; // query parameters string (e.g. "action=save")
     std::string body;
+    std::map<std::string, uploaded_file> files; // used for file uploads (form data)
     const std::function<bool()> & should_stop;
 
     std::string get_param(const std::string & key, const std::string & def = "") const {
diff --git a/tools/server/server-models.cpp b/tools/server/server-models.cpp
index c83709272..5a05ca203 100644
--- a/tools/server/server-models.cpp
+++ b/tools/server/server-models.cpp
@@ -1,6 +1,7 @@
 #include "server-common.h"
 #include "server-models.h"
 
+#include "build-info.h"
 #include "preset.h"
 #include "download.h"
 
@@ -17,6 +18,8 @@
 #include <chrono>
 #include <queue>
 #include <filesystem>
+#include <random>
+#include <sstream>
 #include <cstring>
 
 #ifdef _WIN32
@@ -98,6 +101,7 @@ static void unset_reserved_args(common_preset & preset, bool unset_model_args) {
     if (unset_model_args) {
         preset.unset_option("LLAMA_ARG_MODEL");
         preset.unset_option("LLAMA_ARG_MMPROJ");
+        preset.unset_option("LLAMA_ARG_ALIAS");
         preset.unset_option("LLAMA_ARG_HF_REPO");
     }
 }
@@ -239,9 +243,8 @@ void server_models::add_model(server_model_meta && meta) {
     };
 }
 
-// TODO: allow refreshing cached model list
 void server_models::load_models() {
-    // loading models from 3 sources:
+    // Phase 1: load presets from all sources — pure I/O, no lock needed
     // 1. cached models
     common_presets cached_models = ctx_preset.load_from_cache();
     SRV_INF("Loaded %zu cached model presets\n", cached_models.size());
@@ -266,112 +269,266 @@ void server_models::load_models() {
 
     // note: if a model exists in both cached and local, local takes precedence
     common_presets final_presets;
-    for (const auto & [name, preset] : cached_models) {
-        final_presets[name] = preset;
-    }
-    for (const auto & [name, preset] : local_models) {
-        final_presets[name] = preset;
-    }
-
-    // process custom presets from INI
+    for (const auto & [name, preset] : cached_models) final_presets[name] = preset;
+    for (const auto & [name, preset] : local_models)  final_presets[name] = preset;
     for (const auto & [name, custom] : custom_presets) {
         if (final_presets.find(name) != final_presets.end()) {
-            // apply custom config if exists
-            common_preset & target = final_presets[name];
-            target.merge(custom);
+            final_presets[name].merge(custom);
         } else {
-            // otherwise add directly
             final_presets[name] = custom;
         }
     }
-
-    // server base preset from CLI args take highest precedence
+    // server base preset from CLI args takes highest precedence
     for (auto & [name, preset] : final_presets) {
         preset.merge(base_preset);
     }
 
-    // convert presets to server_model_meta and add to mapping
-    for (const auto & preset : final_presets) {
-        server_model_meta meta{
-            /* preset       */ preset.second,
-            /* name         */ preset.first,
-            /* aliases      */ {},
-            /* tags         */ {},
-            /* port         */ 0,
-            /* status       */ SERVER_MODEL_STATUS_UNLOADED,
-            /* last_used    */ 0,
-            /* args         */ std::vector<std::string>(),
-            /* exit_code    */ 0,
-            /* stop_timeout */ DEFAULT_STOP_TIMEOUT,
-        };
-        add_model(std::move(meta));
-    }
-
-    // log available models
-    {
-        std::unordered_set<std::string> custom_names;
-        for (const auto & [name, preset] : custom_presets) {
-            custom_names.insert(name);
-        }
-        auto join_set = [](const std::set<std::string> & s) {
-            std::string result;
-            for (const auto & v : s) {
-                if (!result.empty()) {
-                    result += ", ";
-                }
-                result += v;
-            }
-            return result;
-        };
-
+    // Helpers that read `mapping` — must be called while holding the lock.
+    std::unordered_set<std::string> custom_names;
+    for (const auto & [name, preset] : custom_presets) custom_names.insert(name);
+    auto join_set = [](const std::set<std::string> & s) {
+        std::string result;
+        for (const auto & v : s) {
+            if (!result.empty()) result += ", ";
+            result += v;
+        }
+        return result;
+    };
+    auto log_available_models = [&]() {
         SRV_INF("Available models (%zu) (*: custom preset)\n", mapping.size());
         for (const auto & [name, inst] : mapping) {
             bool has_custom = custom_names.find(name) != custom_names.end();
             std::string info;
-            if (!inst.meta.aliases.empty()) {
-                info += " (aliases: " + join_set(inst.meta.aliases) + ")";
+            if (!inst.meta.aliases.empty()) info += " (aliases: " + join_set(inst.meta.aliases) + ")";
+            if (!inst.meta.tags.empty())    info += " [tags: "    + join_set(inst.meta.tags)    + "]";
+            SRV_INF("  %c %s%s\n", has_custom ? '*' : ' ', name.c_str(), info.c_str());
+        }
+    };
+    auto apply_stop_timeout = [&]() {
+        for (auto & [name, inst] : mapping) {
+            std::string val;
+            if (inst.meta.preset.get_option(COMMON_ARG_PRESET_STOP_TIMEOUT, val)) {
+                try {
+                    inst.meta.stop_timeout = std::stoi(val);
+                } catch (...) {
+                    SRV_WRN("invalid stop-timeout value '%s' for model '%s', using default %d seconds\n",
+                        val.c_str(), name.c_str(), DEFAULT_STOP_TIMEOUT);
+                    inst.meta.stop_timeout = DEFAULT_STOP_TIMEOUT;
+                }
             }
-            if (!inst.meta.tags.empty()) {
-                info += " [tags: " + join_set(inst.meta.tags) + "]";
+        }
+    };
+    // update_args() injects HOST/PORT/ALIAS, so strip them before comparing presets
+    auto preset_options_for_compare = [](common_preset p) {
+        p.unset_option("LLAMA_ARG_HOST");
+        p.unset_option("LLAMA_ARG_PORT");
+        p.unset_option("LLAMA_ARG_ALIAS");
+        return p.options;
+    };
+
+    // Phase 2: acquire the lock once for all mapping mutations.
+    // We temporarily release it only when calling functions that acquire it internally
+    // (unload, load) or when joining threads (the monitoring thread calls update_status
+    // which locks the mutex, so joining while holding it would deadlock).
+    std::unique_lock<std::mutex> lk(mutex);
+    bool is_first_load = mapping.empty();
+
+    if (is_first_load) {
+        // FIRST LOAD: add all models, then unlock for autoloading
+        for (const auto & [name, preset] : final_presets) {
+            server_model_meta meta{
+                /* preset       */ preset,
+                /* name         */ name,
+                /* aliases      */ {},
+                /* tags         */ {},
+                /* port         */ 0,
+                /* status       */ SERVER_MODEL_STATUS_UNLOADED,
+                /* last_used    */ 0,
+                /* args         */ std::vector<std::string>(),
+                /* exit_code    */ 0,
+                /* stop_timeout */ DEFAULT_STOP_TIMEOUT,
+            };
+            add_model(std::move(meta));
+        }
+        apply_stop_timeout();
+        log_available_models();
+
+        std::vector<std::string> models_to_load;
+        for (const auto & [name, inst] : mapping) {
+            std::string val;
+            if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) {
+                models_to_load.push_back(name);
             }
-            SRV_INF("  %c %s%s\n", has_custom ? '*' : ' ', name.c_str(), info.c_str());
         }
-    }
+        if ((int)models_to_load.size() > base_params.models_max) {
+            throw std::runtime_error(string_format(
+                "number of models to load on startup (%zu) exceeds models_max (%d)",
+                models_to_load.size(), base_params.models_max));
+        }
 
-    // handle custom stop-timeout option
-    for (auto & [name, inst] : mapping) {
-        std::string val;
-        if (inst.meta.preset.get_option(COMMON_ARG_PRESET_STOP_TIMEOUT, val)) {
-            try {
-                inst.meta.stop_timeout = std::stoi(val);
-            } catch (...) {
-                SRV_WRN("invalid stop-timeout value '%s' for model '%s', using default %d seconds\n",
-                    val.c_str(), name.c_str(), DEFAULT_STOP_TIMEOUT);
-                inst.meta.stop_timeout = DEFAULT_STOP_TIMEOUT;
+        lk.unlock();
+        for (const auto & name : models_to_load) {
+            SRV_INF("(startup) loading model %s\n", name.c_str());
+            load(name);
+        }
+    } else {
+        // RELOAD: diff the new preset list against the current mapping and reconcile
+        is_reloading = true;
+
+        // find running models whose source was removed or whose preset changed
+        std::vector<std::string> to_unload;
+        for (const auto & [name, inst] : mapping) {
+            if (!inst.meta.is_running()) continue;
+            auto it = final_presets.find(name);
+            if (it == final_presets.end()) {
+                to_unload.push_back(name); // removed from source
+            } else if (preset_options_for_compare(inst.meta.preset) != preset_options_for_compare(it->second)) {
+                to_unload.push_back(name); // preset changed
             }
         }
-    }
 
-    // load any autoload models
-    std::vector<std::string> models_to_load;
-    for (const auto & [name, inst] : mapping) {
-        std::string val;
-        if (inst.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val)) {
-            if (common_arg_utils::is_truthy(val)) {
-                models_to_load.push_back(name);
+        // unload() acquires the lock internally, so release before each call
+        for (const auto & name : to_unload) {
+            SRV_INF("(reload) unloading model name=%s (source updated or removed)\n", name.c_str());
+            lk.unlock();
+            unload(name);
+            lk.lock();
+        }
+
+        // wait for all targeted models to reach UNLOADED; cv.wait handles unlock/relock
+        cv.wait(lk, [&]() {
+            for (const auto & name : to_unload) {
+                auto it = mapping.find(name);
+                if (it != mapping.end() && it->second.meta.is_running()) return false;
+            }
+            return true;
+        });
+
+        // collect all threads to join in one pass while the lock is held:
+        // - monitoring threads from just-unloaded models (to_unload)
+        // - threads of already-UNLOADED models that are being removed from source
+        std::vector<std::thread> threads_to_join;
+        for (const auto & name : to_unload) {
+            auto it = mapping.find(name);
+            if (it != mapping.end() && it->second.th.joinable()) {
+                threads_to_join.push_back(std::move(it->second.th));
             }
         }
-    }
-    if ((int)models_to_load.size() > base_params.models_max) {
-        throw std::runtime_error(string_format(
-            "number of models to load on startup (%zu) exceeds models_max (%d)",
-            models_to_load.size(),
-            base_params.models_max
-        ));
-    }
-    for (const auto & name : models_to_load) {
-        SRV_INF("(startup) loading model %s\n", name.c_str());
-        load(name);
+        for (auto & [name, inst] : mapping) {
+            if (final_presets.find(name) == final_presets.end() && !inst.meta.is_running() && inst.th.joinable()) {
+                threads_to_join.push_back(std::move(inst.th));
+            }
+        }
+
+        // join outside the lock — monitoring thread calls update_status (needs lock)
+        lk.unlock();
+        for (auto & th : threads_to_join) th.join();
+        lk.lock();
+
+        // erase models no longer in any source
+        for (auto it = mapping.begin(); it != mapping.end(); ) {
+            if (final_presets.find(it->first) == final_presets.end()) {
+                SRV_INF("(reload) removing model name=%s (no longer in source)\n", it->first.c_str());
+                GGML_ASSERT(!it->second.th.joinable()); // must have been joined above
+                it = mapping.erase(it);
+            } else {
+                ++it;
+            }
+        }
+
+        // update presets for non-running models still in source
+        for (auto & [name, inst] : mapping) {
+            if (inst.meta.is_running()) continue;
+            auto it = final_presets.find(name);
+            if (it == final_presets.end()) continue; // erased above
+
+            inst.meta.preset = it->second;
+
+            // re-parse aliases, then validate against other models
+            std::set<std::string> new_aliases;
+            std::string alias_str;
+            if (inst.meta.preset.get_option("LLAMA_ARG_ALIAS", alias_str) && !alias_str.empty()) {
+                for (auto & alias : string_split<std::string>(alias_str, ',')) {
+                    alias = string_strip(alias);
+                    if (!alias.empty()) new_aliases.insert(alias);
+                }
+            }
+            inst.meta.aliases.clear();
+            for (const auto & alias : new_aliases) {
+                bool conflict = false;
+                for (const auto & [other_name, other_inst] : mapping) {
+                    if (other_name == name) continue;
+                    if (other_name == alias || other_inst.meta.aliases.count(alias)) {
+                        SRV_WRN("(reload) alias '%s' for model '%s' conflicts with model '%s', skipping\n",
+                            alias.c_str(), name.c_str(), other_name.c_str());
+                        conflict = true;
+                        break;
+                    }
+                }
+                if (!conflict) inst.meta.aliases.insert(alias);
+            }
+
+            // re-parse tags
+            inst.meta.tags.clear();
+            std::string tags_str;
+            if (inst.meta.preset.get_option("LLAMA_ARG_TAGS", tags_str) && !tags_str.empty()) {
+                for (auto & tag : string_split<std::string>(tags_str, ',')) {
+                    tag = string_strip(tag);
+                    if (!tag.empty()) inst.meta.tags.insert(tag);
+                }
+            }
+
+            inst.meta.exit_code = 0; // clear failed state so the model can be reloaded
+            inst.meta.update_args(ctx_preset, bin_path);
+        }
+
+        // add models that are new in this reload
+        std::vector<std::string> newly_added;
+        for (const auto & [name, preset] : final_presets) {
+            if (mapping.find(name) == mapping.end()) {
+                server_model_meta meta{
+                    /* preset       */ preset,
+                    /* name         */ name,
+                    /* aliases      */ {},
+                    /* tags         */ {},
+                    /* port         */ 0,
+                    /* status       */ SERVER_MODEL_STATUS_UNLOADED,
+                    /* last_used    */ 0,
+                    /* args         */ std::vector<std::string>(),
+                    /* exit_code    */ 0,
+                    /* stop_timeout */ DEFAULT_STOP_TIMEOUT,
+                };
+                add_model(std::move(meta));
+                newly_added.push_back(name);
+            }
+        }
+
+        apply_stop_timeout();
+
+        // clear reload flag before unlocking for autoload — load() blocks on !is_reloading,
+        // so clearing it here (while still locked) prevents a deadlock in the autoload calls below
+        is_reloading = false;
+        cv.notify_all();
+
+        log_available_models();
+
+        // collect autoload candidates while still under the lock
+        std::vector<std::string> to_autoload;
+        for (const auto & name : newly_added) {
+            auto it = mapping.find(name);
+            if (it != mapping.end()) {
+                std::string val;
+                if (it->second.meta.preset.get_option(COMMON_ARG_PRESET_LOAD_ON_STARTUP, val) && common_arg_utils::is_truthy(val)) {
+                    to_autoload.push_back(name);
+                }
+            }
+        }
+
+        lk.unlock();
+        for (const auto & name : to_autoload) {
+            SRV_INF("(reload) loading new model %s\n", name.c_str());
+            load(name);
+        }
     }
 }
 
@@ -532,7 +689,10 @@ void server_models::load(const std::string & name) {
     }
     unload_lru();
 
-    std::lock_guard<std::mutex> lk(mutex);
+    std::unique_lock<std::mutex> lk(mutex);
+    // edge case: block until any in-progress reload has finished so we always load
+    // against the freshest preset and a consistent mapping state
+    cv.wait(lk, [this]() { return !is_reloading; });
 
     auto meta = mapping[name].meta;
     if (meta.status != SERVER_MODEL_STATUS_UNLOADED) {
@@ -710,6 +870,11 @@ void server_models::unload(const std::string & name) {
         if (it->second.meta.is_running()) {
             SRV_INF("stopping model instance name=%s\n", name.c_str());
             stopping_models.insert(name);
+            if (it->second.meta.status == SERVER_MODEL_STATUS_LOADING) {
+                // special case: if model is in loading state, unloading means force-killing it
+                SRV_WRN("model name=%s is still loading, force-killing\n", name.c_str());
+                subprocess_terminate(it->second.subproc.get());
+            }
             cv_stop.notify_all();
             // status change will be handled by the managing thread
         } else {
@@ -816,6 +981,7 @@ server_http_res_ptr server_models::proxy_request(const server_http_req & req, co
             proxy_path,
             req.headers,
             req.body,
+            req.files,
             req.should_stop,
             base_params.timeout_read,
             base_params.timeout_write
@@ -925,7 +1091,8 @@ void server_models_routes::init_routes() {
             res_ok(res, {
                 // TODO: add support for this on web UI
                 {"role",          "router"},
-                {"max_instances", 4}, // dummy value for testing
+                {"max_instances", params.models_max},
+                {"models_autoload", params.models_autoload},
                 // this is a dummy response to make sure webui doesn't break
                 {"model_alias", "llama-server"},
                 {"model_path",  "none"},
@@ -934,6 +1101,7 @@ void server_models_routes::init_routes() {
                     {"n_ctx",  0},
                 }},
                 {"webui_settings", webui_settings},
+                {"build_info",     std::string(llama_build_info())},
             });
             return res;
         }
@@ -981,7 +1149,11 @@ void server_models_routes::init_routes() {
         return res;
     };
 
-    this->get_router_models = [this](const server_http_req &) {
+    this->get_router_models = [this](const server_http_req & req) {
+        bool reload = !req.get_param("reload", "").empty();
+        if (reload) {
+            models.load_models();
+        }
         auto res = std::make_unique<server_http_res>();
         json models_json = json::array();
         auto all_models = models.get_all_meta();
@@ -1117,6 +1289,77 @@ static bool should_strip_proxy_header(const std::string & header_name) {
     return false;
 }
 
+static std::string generate_multipart_boundary() {
+    thread_local std::mt19937 gen(std::random_device{}());
+    static const char chars[] = "0123456789abcdefghijklmnopqrstuvwxyz";
+    std::uniform_int_distribution<> dis(0, sizeof(chars) - 2);
+    std::string boundary = "----llama-cpp-proxy-";
+    for (int i = 0; i < 16; i++) {
+        boundary += chars[dis(gen)];
+    }
+    return boundary;
+}
+
+static std::string build_multipart_body(
+        const json & form_fields,
+        const std::map<std::string, uploaded_file> & files,
+        const std::string & boundary) {
+    static auto sanitize_field = [](const std::string & text) {
+        std::string result;
+        result.reserve(text.size());
+        for (char c : text) {
+            if (c != '\n' && c != '\r' && c != '"') {
+                result += c;
+            }
+        }
+        return result;
+    };
+
+    std::ostringstream body;
+
+    for (const auto & [key, value] : form_fields.items()) {
+        if (value.is_array()) {
+            for (const auto & item : value) {
+                body << "--" << boundary << "\r\n";
+                body << "Content-Disposition: form-data; name=\"" << sanitize_field(key) << "\"\r\n";
+                body << "\r\n";
+                if (!item.is_string()) {
+                    throw std::invalid_argument("expected string");
+                }
+                body << item.get<std::string>() << "\r\n";
+            }
+        } else {
+            body << "--" << boundary << "\r\n";
+            body << "Content-Disposition: form-data; name=\"" << sanitize_field(key) << "\"\r\n";
+            body << "\r\n";
+            if (!value.is_string()) {
+                throw std::invalid_argument("expected string");
+            }
+            body << value.get<std::string>() << "\r\n";
+        }
+    }
+
+    for (const auto & [key, file] : files) {
+        body << "--" << boundary << "\r\n";
+        body << "Content-Disposition: form-data; name=\"" << sanitize_field(key) << "\"";
+        if (!file.filename.empty()) {
+            body << "; filename=\"" << sanitize_field(file.filename) << "\"";
+        }
+        body << "\r\n";
+        if (!file.content_type.empty()) {
+            body << "Content-Type: " << sanitize_field(file.content_type) << "\r\n";
+        } else {
+            body << "Content-Type: application/octet-stream\r\n";
+        }
+        body << "\r\n";
+        body.write(reinterpret_cast<const char*>(file.data.data()), file.data.size());
+        body << "\r\n";
+    }
+
+    body << "--" << boundary << "--\r\n";
+    return body.str();
+}
+
 server_http_proxy::server_http_proxy(
         const std::string & method,
         const std::string & scheme,
@@ -1125,6 +1368,7 @@ server_http_proxy::server_http_proxy(
         const std::string & path,
         const std::map<std::string, std::string> & headers,
         const std::string & body,
+        const std::map<std::string, uploaded_file> & files,
         const std::function<bool()> should_stop,
         int32_t timeout_read,
         int32_t timeout_write
@@ -1143,7 +1387,7 @@ server_http_proxy::server_http_proxy(
 
     // setup Client
     cli->set_follow_location(true);
-    cli->set_connection_timeout(5, 0); // 5 seconds
+    cli->set_connection_timeout(timeout_read, 0); // use --timeout value instead of hardcoded 5 s
     cli->set_write_timeout(timeout_read, 0); // reversed for cli (client) vs srv (server)
     cli->set_read_timeout(timeout_write, 0);
     this->status = 500; // to be overwritten upon response
@@ -1186,28 +1430,65 @@ server_http_proxy::server_http_proxy(
         return pipe->write({{}, 0, std::string(data, data_length), ""});
     };
 
+    // when files are present, the body was converted from multipart form data to JSON
+    // we need to reconstruct the multipart body for the downstream server
+    std::string effective_body = body;
+    std::string override_content_type;
+    bool has_files = !files.empty();
+
+    if (has_files) {
+        json form_fields = json::parse(body, nullptr, false);
+        if (!form_fields.is_discarded()) {
+            auto boundary = generate_multipart_boundary();
+            effective_body = build_multipart_body(form_fields, files, boundary);
+            override_content_type = "multipart/form-data; boundary=" + boundary;
+        } else {
+            throw std::runtime_error("failed to parse multipart form fields JSON");
+        }
+    }
+
     // prepare the request to destination server
     httplib::Request req;
     {
         req.method = method;
         req.path = path;
         for (const auto & [key, value] : headers) {
-            if (key == "Accept-Encoding") {
+            const auto lowered = to_lower_copy(key);
+            if (lowered == "accept-encoding") {
                 // disable Accept-Encoding to avoid compressed responses
                 continue;
             }
-            if (key == "Transfer-Encoding") {
+            if (lowered == "transfer-encoding") {
                 // the body is already decoded
                 continue;
             }
-            if (key == "Host" || key == "host") {
+            if (lowered == "content-length") {
+                // let httplib calculate Content-Length from the actual body
+                continue;
+            }
+            if (lowered == "content-type") {
+                if (has_files) {
+                    // we set our own Content-Type with the new boundary
+                    continue;
+                }
+                // when no files but the original request was multipart,
+                // the body is now JSON, so correct the Content-Type
+                if (value.find("multipart/form-data") != std::string::npos) {
+                    override_content_type = "application/json; charset=utf-8";
+                    continue;
+                }
+            }
+            if (lowered == "host") {
                 bool is_default_port = (scheme == "https" && port == 443) || (scheme == "http" && port == 80);
                 req.set_header(key, is_default_port ? host : host + ":" + std::to_string(port));
             } else {
                 req.set_header(key, value);
             }
         }
-        req.body = body;
+        req.body = effective_body;
+        if (!override_content_type.empty()) {
+            req.set_header("Content-Type", override_content_type);
+        }
         req.response_handler = response_handler;
         req.content_receiver = content_receiver;
     }
diff --git a/tools/server/server-models.h b/tools/server/server-models.h
index 1db34b6c4..64a15f5ba 100644
--- a/tools/server/server-models.h
+++ b/tools/server/server-models.h
@@ -100,6 +100,9 @@ struct server_models {
     std::condition_variable cv_stop;
     std::set<std::string> stopping_models;
 
+    // set to true while load_models() is executing a reload; load() will wait until clear
+    bool is_reloading = false;
+
     common_preset_context ctx_preset;
 
     common_params base_params;
@@ -118,6 +121,11 @@ struct server_models {
 public:
     server_models(const common_params & params, int argc, char ** argv);
 
+    // (re-)load the list of models from various sources and prepare the metadata mapping
+    // - if this is called the first time, simply populate the metadata
+    // - if this is called subsequently (e.g. when refreshing from disk):
+    //   - if a model is running but updated or removed from the source, it will be unloaded
+    //   - if a model is not running, it will be added or updated according to the source
     void load_models();
 
     // check if a model instance exists (thread-safe)
@@ -202,6 +210,7 @@ struct server_http_proxy : server_http_res {
                       const std::string & path,
                       const std::map<std::string, std::string> & headers,
                       const std::string & body,
+                      const std::map<std::string, uploaded_file> & files,
                       const std::function<bool()> should_stop,
                       int32_t timeout_read,
                       int32_t timeout_write
diff --git a/tools/server/server-task.cpp b/tools/server/server-task.cpp
index 4cc87bc50..45e5168fa 100644
--- a/tools/server/server-task.cpp
+++ b/tools/server/server-task.cpp
@@ -1,5 +1,7 @@
 #include "server-task.h"
 
+#include "build-info.h"
+#include "server-chat.h"
 #include "chat.h"
 #include "common.h"
 #include "json-schema-to-grammar.h"
@@ -74,13 +76,7 @@ json task_params::to_json(bool only_metrics) const {
             {"reasoning_in_content",      chat_parser_params.reasoning_in_content},
             {"generation_prompt",         chat_parser_params.generation_prompt},
             {"samplers",                  samplers},
-            {"speculative.n_max",         speculative.n_max},
-            {"speculative.n_min",         speculative.n_min},
-            {"speculative.p_min",         speculative.p_min},
             {"speculative.type",          common_speculative_type_to_str(speculative.type)},
-            {"speculative.ngram_size_n",  speculative.ngram_size_n},
-            {"speculative.ngram_size_m",  speculative.ngram_size_m},
-            {"speculative.ngram_m_hits",  speculative.ngram_min_hits},
             {"timings_per_token",         timings_per_token},
             {"post_sampling_probs",       post_sampling_probs},
             {"backend_sampling",          sampling.backend_sampling},
@@ -137,13 +133,7 @@ json task_params::to_json(bool only_metrics) const {
         {"reasoning_in_content",      chat_parser_params.reasoning_in_content},
         {"generation_prompt",         chat_parser_params.generation_prompt},
         {"samplers",                  samplers},
-        {"speculative.n_max",         speculative.n_max},
-        {"speculative.n_min",         speculative.n_min},
-        {"speculative.p_min",         speculative.p_min},
         {"speculative.type",          common_speculative_type_to_str(speculative.type)},
-        {"speculative.ngram_size_n",  speculative.ngram_size_n},
-        {"speculative.ngram_size_m",  speculative.ngram_size_m},
-        {"speculative.ngram_m_hits",  speculative.ngram_min_hits},
         {"timings_per_token",         timings_per_token},
         {"post_sampling_probs",       post_sampling_probs},
         {"backend_sampling",          sampling.backend_sampling},
@@ -161,7 +151,7 @@ common_chat_msg task_result_state::update_chat_msg(
         bool filter_tool_calls) {
     generated_text += text_added;
     auto msg_prv_copy = chat_msg;
-    SRV_DBG("Parsing chat message: %s\n", generated_text.c_str());
+    //SRV_DBG("Parsing chat message: %s\n", generated_text.c_str());
     auto new_msg = common_chat_parse(
         generated_text,
         is_partial,
@@ -239,6 +229,7 @@ task_params server_task::params_from_json_cmpl(
         const llama_vocab * vocab,
         const common_params & params_base,
         const int n_ctx_slot,
+        const std::vector<llama_logit_bias> & logit_bias_eog,
         const json & data) {
     task_params params;
 
@@ -267,6 +258,7 @@ task_params server_task::params_from_json_cmpl(
     params.n_indent         = json_value(data,       "n_indent",           defaults.n_indent);
     params.n_keep           = json_value(data,       "n_keep",             defaults.n_keep);
     params.n_discard        = json_value(data,       "n_discard",          defaults.n_discard);
+    params.n_discard        = std::max(0, params.n_discard);
     params.n_cmpl           = json_value(data,       "n_cmpl",             json_value(data, "n", 1));
     params.n_cache_reuse    = json_value(data,       "n_cache_reuse",      defaults.n_cache_reuse);
     //params.t_max_prompt_ms  = json_value(data,       "t_max_prompt_ms",    defaults.t_max_prompt_ms); // TODO: implement
@@ -302,14 +294,19 @@ task_params server_task::params_from_json_cmpl(
     params.sampling.backend_sampling   = json_value(data, "backend_sampling",    defaults.sampling.backend_sampling);
     params.post_sampling_probs         = json_value(data, "post_sampling_probs", defaults.post_sampling_probs);
 
-    params.speculative.n_min = json_value(data, "speculative.n_min", defaults.speculative.n_min);
-    params.speculative.n_max = json_value(data, "speculative.n_max", defaults.speculative.n_max);
-    params.speculative.p_min = json_value(data, "speculative.p_min", defaults.speculative.p_min);
+    params.speculative = defaults.speculative;
 
-    params.speculative.n_min = std::min(params.speculative.n_max, params.speculative.n_min);
-    params.speculative.n_min = std::max(params.speculative.n_min, 0);
-    params.speculative.n_max = std::max(params.speculative.n_max, 0);
+    // TODO: for now, be able to adjust only the draft-model based speculative parameters
+    params.speculative.draft.n_min = json_value(data, "speculative.n_min", defaults.speculative.draft.n_min);
+    params.speculative.draft.n_max = json_value(data, "speculative.n_max", defaults.speculative.draft.n_max);
+    params.speculative.draft.p_min = json_value(data, "speculative.p_min", defaults.speculative.draft.p_min);
 
+    params.speculative.draft.n_min = std::min(params.speculative.draft.n_max, params.speculative.draft.n_min);
+    params.speculative.draft.n_min = std::max(params.speculative.draft.n_min, 0);
+    params.speculative.draft.n_max = std::max(params.speculative.draft.n_max, 0);
+
+#if 0
+    // for debugging and research purposes
     params.speculative.type = common_speculative_type_from_name(json_value(data, "speculative.type", common_speculative_type_to_str(defaults.speculative.type)));
 
     params.speculative.ngram_size_n     = json_value(data, "speculative.ngram_size_n", defaults.speculative.ngram_size_n);
@@ -319,6 +316,7 @@ task_params server_task::params_from_json_cmpl(
     params.speculative.ngram_size_n     = std::max(std::min(1, (int) params.speculative.ngram_size_n),     1024);
     params.speculative.ngram_size_m     = std::max(std::min(1, (int) params.speculative.ngram_size_m),     1024);
     params.speculative.ngram_min_hits   = std::max(std::min(1, (int) params.speculative.ngram_min_hits),   1024);
+#endif
 
     // Use OpenAI API logprobs only if n_probs wasn't provided
     if (data.contains("logprobs") && params.sampling.n_probs == defaults.sampling.n_probs){
@@ -383,6 +381,8 @@ task_params server_task::params_from_json_cmpl(
             throw std::runtime_error(std::string("\"json_schema\": ") + e.what());
         }
     } else {
+        params.sampling.grammar = defaults.sampling.grammar;
+
         std::string grammar_str = json_value(data, "grammar", std::string());
         if (!grammar_str.empty()) {
             // grammar_type key is set by the server when converting chat template grammars
@@ -562,7 +562,7 @@ task_params server_task::params_from_json_cmpl(
         if (params.sampling.ignore_eos) {
             params.sampling.logit_bias.insert(
                     params.sampling.logit_bias.end(),
-                    defaults.sampling.logit_bias_eog.begin(), defaults.sampling.logit_bias_eog.end());
+                    logit_bias_eog.begin(), logit_bias_eog.end());
         }
     }
 
@@ -722,6 +722,8 @@ json server_task_result_cmpl_final::to_json() {
             return stream ? to_json_oaicompat_chat_stream() : to_json_oaicompat_chat();
         case TASK_RESPONSE_TYPE_OAI_RESP:
             return stream ? to_json_oaicompat_resp_stream() : to_json_oaicompat_resp();
+        case TASK_RESPONSE_TYPE_OAI_ASR:
+            return to_json_oaicompat_asr();
         case TASK_RESPONSE_TYPE_ANTHROPIC:
             return stream ? to_json_anthropic_stream() : to_json_anthropic();
         default:
@@ -786,7 +788,7 @@ json server_task_result_cmpl_final::to_json_oaicompat() {
         })},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "text_completion"},
         {"usage",              usage_json_oaicompat()},
         {"id", oaicompat_cmpl_id}
@@ -834,7 +836,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat() {
         {"choices",            json::array({choice})},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "chat.completion"},
         {"usage",              usage_json_oaicompat()},
         {"id", oaicompat_cmpl_id}
@@ -865,13 +867,13 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
                 json {
                     {"finish_reason", nullptr},
                     {"index", index},
-                    {"delta", common_chat_msg_diff_to_json_oaicompat(diff)},
+                    {"delta", server_chat_msg_diff_to_json_oaicompat(diff)},
                 },
             })},
             {"created", t},
             {"id", oaicompat_cmpl_id},
             {"model", oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object", "chat.completion.chunk"},
         });
     }
@@ -887,7 +889,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
         {"created",            t},
         {"id",                 oaicompat_cmpl_id},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "chat.completion.chunk"},
     });
 
@@ -899,7 +901,7 @@ json server_task_result_cmpl_final::to_json_oaicompat_chat_stream() {
             {"created",            t},
             {"id",                 oaicompat_cmpl_id},
             {"model",              oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object",             "chat.completion.chunk"},
             {"usage",              usage_json_oaicompat()},
         });
@@ -1099,6 +1101,21 @@ json server_task_result_cmpl_final::to_json_oaicompat_resp_stream() {
     return server_sent_events;
 }
 
+json server_task_result_cmpl_final::to_json_oaicompat_asr() {
+    json event = json {
+        {"type",  "transcript.text.done"},
+        {"text",  oaicompat_msg.content},
+        {"usage", json {
+            {"type",         "tokens"},
+            {"input_tokens",  n_prompt_tokens},
+            {"output_tokens", n_decoded},
+            {"total_tokens",  n_decoded + n_prompt_tokens},
+            {"input_tokens_details", json { {"cached_tokens", n_prompt_tokens_cache} }},
+        }},
+    };
+    return event;
+}
+
 json server_task_result_cmpl_final::to_json_anthropic() {
     std::string stop_reason = "max_tokens";
     if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
@@ -1397,6 +1414,8 @@ json server_task_result_cmpl_partial::to_json() {
             return to_json_oaicompat_chat();
         case TASK_RESPONSE_TYPE_OAI_RESP:
             return to_json_oaicompat_resp();
+        case TASK_RESPONSE_TYPE_OAI_ASR:
+            return to_json_oaicompat_asr();
         case TASK_RESPONSE_TYPE_ANTHROPIC:
             return to_json_anthropic();
         default:
@@ -1447,7 +1466,7 @@ json server_task_result_cmpl_partial::to_json_oaicompat() {
         })},
         {"created",            t},
         {"model",              oaicompat_model},
-        {"system_fingerprint", build_info},
+        {"system_fingerprint", std::string(llama_build_info())},
         {"object",             "text_completion"},
         {"id",                 oaicompat_cmpl_id}
     };
@@ -1484,7 +1503,7 @@ json server_task_result_cmpl_partial::to_json_oaicompat_chat() {
             {"created", t},
             {"id", oaicompat_cmpl_id},
             {"model", oaicompat_model},
-            {"system_fingerprint", build_info},
+            {"system_fingerprint", std::string(llama_build_info())},
             {"object", "chat.completion.chunk"},
         });
     };
@@ -1497,7 +1516,7 @@ json server_task_result_cmpl_partial::to_json_oaicompat_chat() {
     }
 
     for (const auto & diff : oaicompat_msg_diffs) {
-        add_delta(common_chat_msg_diff_to_json_oaicompat(diff));
+        add_delta(server_chat_msg_diff_to_json_oaicompat(diff));
     }
 
     if (!deltas.empty()) {
@@ -1647,6 +1666,14 @@ json server_task_result_cmpl_partial::to_json_oaicompat_resp() {
     return events;
 }
 
+json server_task_result_cmpl_partial::to_json_oaicompat_asr() {
+    json event = json {
+        {"type", "transcript.text.delta"},
+        {"delta", content},
+    };
+    return event;
+}
+
 json server_task_result_cmpl_partial::to_json_anthropic() {
     json events = json::array();
     bool first = (n_decoded == 1);
diff --git a/tools/server/server-task.h b/tools/server/server-task.h
index d855bf087..289e1fb8d 100644
--- a/tools/server/server-task.h
+++ b/tools/server/server-task.h
@@ -34,6 +34,7 @@ enum task_response_type {
     TASK_RESPONSE_TYPE_OAI_CHAT,
     TASK_RESPONSE_TYPE_OAI_CMPL,
     TASK_RESPONSE_TYPE_OAI_RESP,
+    TASK_RESPONSE_TYPE_OAI_ASR, // transcriptions API
     TASK_RESPONSE_TYPE_OAI_EMBD,
     TASK_RESPONSE_TYPE_ANTHROPIC,
 };
@@ -209,6 +210,7 @@ struct server_task {
         const llama_vocab * vocab,
         const common_params & params_base,
         const int n_ctx_slot,
+        const std::vector<llama_logit_bias> & logit_bias_eog,
         const json & data);
 
     // utility function
@@ -400,6 +402,8 @@ struct server_task_result_cmpl_final : server_task_result {
 
     json to_json_oaicompat_resp_stream();
 
+    json to_json_oaicompat_asr();
+
     json to_json_anthropic();
 
     json to_json_anthropic_stream();
@@ -456,6 +460,8 @@ struct server_task_result_cmpl_partial : server_task_result {
 
     json to_json_oaicompat_resp();
 
+    json to_json_oaicompat_asr();
+
     json to_json_anthropic();
 };
 
@@ -570,6 +576,17 @@ struct server_prompt_checkpoint {
     size_t size() const {
         return data.size();
     }
+
+    bool empty() const {
+        return data.empty();
+    }
+
+    void clear() {
+        pos_min = 0;
+        pos_max = 0;
+        n_tokens = 0;
+        data.clear();
+    }
 };
 
 struct server_prompt {
diff --git a/tools/server/server-tools.cpp b/tools/server/server-tools.cpp
index 81e360de4..97433fe4b 100644
--- a/tools/server/server-tools.cpp
+++ b/tools/server/server-tools.cpp
@@ -10,6 +10,7 @@
 #include <atomic>
 #include <cstring>
 #include <climits>
+#include <algorithm>
 
 namespace fs = std::filesystem;
 
@@ -693,6 +694,35 @@ struct server_tool_apply_diff : server_tool {
     }
 };
 
+//
+// get_datetime: returns the current date and time
+//
+
+struct server_tool_get_datetime : server_tool {
+    server_tool_get_datetime() {
+        name = "get_datetime";
+        display_name = "Get Date & Time";
+        permission_write = false;
+    }
+
+    json get_definition() override {
+        return {
+            {"type", "function"},
+            {"function", {
+                {"name", name},
+                {"description", "Returns the current date and time"},
+            }},
+        };
+    }
+
+    json invoke(json) override {
+        auto now = std::chrono::system_clock::now();
+        auto time = std::chrono::system_clock::to_time_t(now);
+
+        return {{"result", std::ctime(&time)}};
+    }
+};
+
 //
 // public API
 //
@@ -706,6 +736,7 @@ static std::vector<std::unique_ptr<server_tool>> build_tools() {
     tools.push_back(std::make_unique<server_tool_write_file>());
     tools.push_back(std::make_unique<server_tool_edit_file>());
     tools.push_back(std::make_unique<server_tool_apply_diff>());
+    tools.push_back(std::make_unique<server_tool_get_datetime>());
     return tools;
 }
 
@@ -714,6 +745,24 @@ void server_tools::setup(const std::vector<std::string> & enabled_tools) {
         std::unordered_set<std::string> enabled_set(enabled_tools.begin(), enabled_tools.end());
         auto all_tools = build_tools();
 
+        // collect all known tool names for validation
+        std::vector<std::string> known_names;
+        known_names.reserve(all_tools.size());
+        for (const auto & t : all_tools) {
+            known_names.push_back(t->name);
+        }
+
+        // validate that every requested tool is known
+        for (const auto & name : enabled_tools) {
+            if (name == "all") continue;
+            if (std::find(known_names.begin(), known_names.end(), name) == known_names.end()) {
+                throw std::runtime_error(string_format(
+                    "unknown tool \"%s\". available tools: %s",
+                    name.c_str(),
+                    string_join(known_names, ", ").c_str()));
+            }
+        }
+
         tools.clear();
         for (auto & t : all_tools) {
             if (enabled_set.count(t->name) > 0 || enabled_set.count("all") > 0) {
diff --git a/tools/server/server.cpp b/tools/server/server.cpp
index b9e320d9c..0508f79d7 100644
--- a/tools/server/server.cpp
+++ b/tools/server/server.cpp
@@ -5,7 +5,9 @@
 #include "server-tools.h"
 
 #include "arg.h"
+#include "build-info.h"
 #include "common.h"
+#include "fit.h"
 #include "llama.h"
 #include "log.h"
 
@@ -108,7 +110,7 @@ int main(int argc, char ** argv) {
     llama_backend_init();
     llama_numa_init(params.numa);
 
-    LOG_INF("build_info: %s\n", build_info.c_str());
+    LOG_INF("build_info: %s\n", llama_build_info());
     LOG_INF("%s\n", common_params_get_system_info(params).c_str());
 
     server_http_context ctx_http;
@@ -140,11 +142,11 @@ int main(int argc, char ** argv) {
         // note: routes.get_health stays the same
         routes.get_metrics                 = models_routes->proxy_get;
         routes.post_props                  = models_routes->proxy_post;
-        routes.get_api_show                = models_routes->proxy_get;
         routes.post_completions            = models_routes->proxy_post;
         routes.post_completions_oai        = models_routes->proxy_post;
         routes.post_chat_completions       = models_routes->proxy_post;
         routes.post_responses_oai          = models_routes->proxy_post;
+        routes.post_transcriptions_oai     = models_routes->proxy_post;
         routes.post_anthropic_messages     = models_routes->proxy_post;
         routes.post_anthropic_count_tokens = models_routes->proxy_post;
         routes.post_infill                 = models_routes->proxy_post;
@@ -160,48 +162,48 @@ int main(int argc, char ** argv) {
         routes.post_slots                  = models_routes->proxy_post;
 
         // custom routes for router
-        routes.get_props  = models_routes->get_router_props;
-        routes.get_models = models_routes->get_router_models;
-        ctx_http.post("/models/load",   ex_wrapper(models_routes->post_router_models_load));
-        ctx_http.post("/models/unload", ex_wrapper(models_routes->post_router_models_unload));
+        routes.get_props                   = models_routes->get_router_props;
+        routes.get_models                  = models_routes->get_router_models;
+
+        ctx_http.post("/models/load",          ex_wrapper(models_routes->post_router_models_load));
+        ctx_http.post("/models/unload",        ex_wrapper(models_routes->post_router_models_unload));
     }
 
-    ctx_http.get ("/health",              ex_wrapper(routes.get_health)); // public endpoint (no API key check)
-    ctx_http.get ("/v1/health",           ex_wrapper(routes.get_health)); // public endpoint (no API key check)
-    ctx_http.get ("/metrics",             ex_wrapper(routes.get_metrics));
-    ctx_http.get ("/props",               ex_wrapper(routes.get_props));
-    ctx_http.post("/props",               ex_wrapper(routes.post_props));
-    ctx_http.post("/api/show",            ex_wrapper(routes.get_api_show));
-    ctx_http.get ("/models",              ex_wrapper(routes.get_models)); // public endpoint (no API key check)
-    ctx_http.get ("/v1/models",           ex_wrapper(routes.get_models)); // public endpoint (no API key check)
-    ctx_http.get ("/api/tags",            ex_wrapper(routes.get_models)); // ollama specific endpoint. public endpoint (no API key check)
-    ctx_http.post("/completion",          ex_wrapper(routes.post_completions)); // legacy
-    ctx_http.post("/completions",         ex_wrapper(routes.post_completions));
-    ctx_http.post("/v1/completions",      ex_wrapper(routes.post_completions_oai));
-    ctx_http.post("/chat/completions",    ex_wrapper(routes.post_chat_completions));
-    ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions));
-    ctx_http.post("/api/chat",            ex_wrapper(routes.post_chat_completions)); // ollama specific endpoint
-    ctx_http.post("/v1/responses",        ex_wrapper(routes.post_responses_oai));
-    ctx_http.post("/responses",           ex_wrapper(routes.post_responses_oai));
-    ctx_http.post("/v1/messages",         ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
+    ctx_http.get ("/health",                   ex_wrapper(routes.get_health)); // public endpoint (no API key check)
+    ctx_http.get ("/v1/health",                ex_wrapper(routes.get_health)); // public endpoint (no API key check)
+    ctx_http.get ("/metrics",                  ex_wrapper(routes.get_metrics));
+    ctx_http.get ("/props",                    ex_wrapper(routes.get_props));
+    ctx_http.post("/props",                    ex_wrapper(routes.post_props));
+    ctx_http.get ("/models",                   ex_wrapper(routes.get_models)); // public endpoint (no API key check)
+    ctx_http.get ("/v1/models",                ex_wrapper(routes.get_models)); // public endpoint (no API key check)
+    ctx_http.post("/completion",               ex_wrapper(routes.post_completions)); // legacy
+    ctx_http.post("/completions",              ex_wrapper(routes.post_completions));
+    ctx_http.post("/v1/completions",           ex_wrapper(routes.post_completions_oai));
+    ctx_http.post("/chat/completions",         ex_wrapper(routes.post_chat_completions));
+    ctx_http.post("/v1/chat/completions",      ex_wrapper(routes.post_chat_completions));
+    ctx_http.post("/v1/responses",             ex_wrapper(routes.post_responses_oai));
+    ctx_http.post("/responses",                ex_wrapper(routes.post_responses_oai));
+    ctx_http.post("/v1/audio/transcriptions",  ex_wrapper(routes.post_transcriptions_oai));
+    ctx_http.post("/audio/transcriptions",     ex_wrapper(routes.post_transcriptions_oai));
+    ctx_http.post("/v1/messages",              ex_wrapper(routes.post_anthropic_messages)); // anthropic messages API
     ctx_http.post("/v1/messages/count_tokens", ex_wrapper(routes.post_anthropic_count_tokens)); // anthropic token counting
-    ctx_http.post("/infill",              ex_wrapper(routes.post_infill));
-    ctx_http.post("/embedding",           ex_wrapper(routes.post_embeddings)); // legacy
-    ctx_http.post("/embeddings",          ex_wrapper(routes.post_embeddings));
-    ctx_http.post("/v1/embeddings",       ex_wrapper(routes.post_embeddings_oai));
-    ctx_http.post("/rerank",              ex_wrapper(routes.post_rerank));
-    ctx_http.post("/reranking",           ex_wrapper(routes.post_rerank));
-    ctx_http.post("/v1/rerank",           ex_wrapper(routes.post_rerank));
-    ctx_http.post("/v1/reranking",        ex_wrapper(routes.post_rerank));
-    ctx_http.post("/tokenize",            ex_wrapper(routes.post_tokenize));
-    ctx_http.post("/detokenize",          ex_wrapper(routes.post_detokenize));
-    ctx_http.post("/apply-template",      ex_wrapper(routes.post_apply_template));
+    ctx_http.post("/infill",                   ex_wrapper(routes.post_infill));
+    ctx_http.post("/embedding",                ex_wrapper(routes.post_embeddings)); // legacy
+    ctx_http.post("/embeddings",               ex_wrapper(routes.post_embeddings));
+    ctx_http.post("/v1/embeddings",            ex_wrapper(routes.post_embeddings_oai));
+    ctx_http.post("/rerank",                   ex_wrapper(routes.post_rerank));
+    ctx_http.post("/reranking",                ex_wrapper(routes.post_rerank));
+    ctx_http.post("/v1/rerank",                ex_wrapper(routes.post_rerank));
+    ctx_http.post("/v1/reranking",             ex_wrapper(routes.post_rerank));
+    ctx_http.post("/tokenize",                 ex_wrapper(routes.post_tokenize));
+    ctx_http.post("/detokenize",               ex_wrapper(routes.post_detokenize));
+    ctx_http.post("/apply-template",           ex_wrapper(routes.post_apply_template));
     // LoRA adapters hotswap
-    ctx_http.get ("/lora-adapters",       ex_wrapper(routes.get_lora_adapters));
-    ctx_http.post("/lora-adapters",       ex_wrapper(routes.post_lora_adapters));
+    ctx_http.get ("/lora-adapters",            ex_wrapper(routes.get_lora_adapters));
+    ctx_http.post("/lora-adapters",            ex_wrapper(routes.post_lora_adapters));
     // Save & load slots
-    ctx_http.get ("/slots",               ex_wrapper(routes.get_slots));
-    ctx_http.post("/slots/:id_slot",      ex_wrapper(routes.post_slots));
+    ctx_http.get ("/slots",                    ex_wrapper(routes.get_slots));
+    ctx_http.post("/slots/:id_slot",           ex_wrapper(routes.post_slots));
     // CORS proxy (EXPERIMENTAL, only used by the Web UI for MCP)
     if (params.webui_mcp_proxy) {
         SRV_WRN("%s", "-----------------\n");
@@ -213,7 +215,12 @@ int main(int argc, char ** argv) {
     }
     // EXPERIMENTAL built-in tools
     if (!params.server_tools.empty()) {
-        tools.setup(params.server_tools);
+        try {
+            tools.setup(params.server_tools);
+        } catch (const std::exception & e) {
+            LOG_ERR("%s: tools setup failed: %s\n", __func__, e.what());
+            return 1;
+        }
         SRV_WRN("%s", "-----------------\n");
         SRV_WRN("%s", "Built-in tools are enabled, do not expose server to untrusted environments\n");
         SRV_WRN("%s", "This feature is EXPERIMENTAL and may be changed in the future\n");
@@ -343,7 +350,7 @@ int main(int argc, char ** argv) {
 
         auto * ll_ctx = ctx_server.get_llama_context();
         if (ll_ctx != nullptr) {
-            llama_memory_breakdown_print(ll_ctx);
+            common_memory_breakdown_print(ll_ctx);
         }
     }
 
diff --git a/tools/server/tests/requirements.txt b/tools/server/tests/requirements.txt
index ca79d025e..92d27e2a1 100644
--- a/tools/server/tests/requirements.txt
+++ b/tools/server/tests/requirements.txt
@@ -1,6 +1,6 @@
 aiohttp~=3.9.3
 pytest~=8.3.3
-huggingface_hub>=0.34.0,<1.0
+huggingface_hub>=1.5.0,<2.0
 numpy~=1.26.4
 openai~=2.14.0
 prometheus-client~=0.20.0
diff --git a/tools/server/tests/unit/test_completion.py b/tools/server/tests/unit/test_completion.py
index 61042da55..c1a197854 100644
--- a/tools/server/tests/unit/test_completion.py
+++ b/tools/server/tests/unit/test_completion.py
@@ -135,7 +135,7 @@ def test_completion_stream_with_openai_library_stops():
     client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
     res = client.completions.create(
         model="davinci-002",
-        prompt="System: You are helpfull assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
+        prompt="System: You are helpful assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
         stop=["User:\n", "Assistant:\n"],
         max_tokens=200,
         stream=True,
diff --git a/tools/server/tests/unit/test_ignore_eos.py b/tools/server/tests/unit/test_ignore_eos.py
new file mode 100644
index 000000000..f40faf5a8
--- /dev/null
+++ b/tools/server/tests/unit/test_ignore_eos.py
@@ -0,0 +1,43 @@
+import pytest
+from utils import *
+
+server = ServerPreset.tinyllama2()
+
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+
+
+def test_ignore_eos_populates_logit_bias():
+    """ignore_eos=true must add EOG logit biases to generation_settings."""
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "Once upon a time",
+        "ignore_eos": True,
+        "temperature": 0.0,
+    })
+    assert res.status_code == 200
+    # EOG token biases must be present with -inf bias
+    logit_bias = res.body["generation_settings"]["logit_bias"]
+    assert len(logit_bias) > 0
+    for entry in logit_bias:
+        assert entry["bias"] is None  # null in JSON represents -inf
+
+
+def test_ignore_eos_false_no_logit_bias():
+    """ignore_eos=false (default) must NOT add EOG logit biases."""
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "Once upon a time",
+        "ignore_eos": False,
+        "temperature": 0.0,
+    })
+    assert res.status_code == 200
+    logit_bias = res.body["generation_settings"]["logit_bias"]
+    assert len(logit_bias) == 0
diff --git a/tools/server/tests/unit/test_kv_keep_only_active.py b/tools/server/tests/unit/test_kv_keep_only_active.py
index da93d5001..44c05fab0 100644
--- a/tools/server/tests/unit/test_kv_keep_only_active.py
+++ b/tools/server/tests/unit/test_kv_keep_only_active.py
@@ -48,7 +48,7 @@ def test_clear_and_restore():
     log = LogReader(server.log_path)
 
     # verify feature is enabled
-    assert "__TEST_TAG_CLEAR_IDLE_ENABLED__" in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOTS_ENABLED__" in log.drain()
 
     res = server.make_request("POST", "/completion", data={
         "prompt": LONG_PROMPT,
@@ -59,7 +59,7 @@ def test_clear_and_restore():
     original_prompt_n = res.body["timings"]["prompt_n"]
 
     # Slot 0 is the only slot with KV — should NOT be cleared
-    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOT__" not in log.drain()
 
     # Launching slot 1 clears idle slot 0
     res = server.make_request("POST", "/completion", data={
@@ -68,7 +68,7 @@ def test_clear_and_restore():
         "cache_prompt": True,
     })
     assert res.status_code == 200
-    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOT__" in log.drain()
 
     # Re-send same prompt — should restore from cache-ram
     res = server.make_request("POST", "/completion", data={
@@ -86,17 +86,17 @@ def test_clear_and_restore():
         "cache_prompt": True,
     })
     assert res.status_code == 200
-    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOT__" not in log.drain()
 
 
 def test_disabled_with_flag():
     global server
-    server.no_clear_idle = True
+    server.no_cache_idle_slots = True
     server.start()
     log = LogReader(server.log_path)
 
     # Feature should not be enabled
-    assert "__TEST_TAG_CLEAR_IDLE_ENABLED__" not in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOTS_ENABLED__" not in log.drain()
 
     res = server.make_request("POST", "/completion", data={
         "prompt": LONG_PROMPT,
@@ -112,4 +112,4 @@ def test_disabled_with_flag():
         "cache_prompt": True,
     })
     assert res.status_code == 200
-    assert "__TEST_TAG_CLEAR_IDLE_SLOT__" not in log.drain()
+    assert "__TEST_TAG_CACHE_IDLE_SLOT__" not in log.drain()
diff --git a/tools/server/tests/unit/test_router.py b/tools/server/tests/unit/test_router.py
index 717007a44..c93b92b0b 100644
--- a/tools/server/tests/unit/test_router.py
+++ b/tools/server/tests/unit/test_router.py
@@ -9,6 +9,19 @@ def create_server():
     server = ServerPreset.router()
 
 
+def test_router_props():
+    global server
+    server.models_max = 2
+    server.no_models_autoload = True
+    server.start()
+    res = server.make_request("GET", "/props")
+    assert res.status_code == 200
+    assert res.body["role"] == "router"
+    assert res.body["max_instances"] == 2
+    assert res.body["models_autoload"] is False
+    assert res.body["build_info"].startswith("b")
+
+
 @pytest.mark.parametrize(
     "model,success",
     [
@@ -49,6 +62,12 @@ def test_router_chat_completion_stream(model: str, success: bool):
         assert content == ""
 
 
+def _get_model_ids(is_reload: bool) -> set[str]:
+    res = server.make_request("GET", "/models" + ("?reload=1" if is_reload else ""))
+    assert res.status_code == 200
+    return {item["id"] for item in res.body.get("data", [])}
+
+
 def _get_model_status(model_id: str) -> str:
     res = server.make_request("GET", "/models")
     assert res.status_code == 200
@@ -192,3 +211,45 @@ def test_router_api_key_required():
     )
     assert authed.status_code == 200
     assert "error" not in authed.body
+
+
+def test_router_reload_models():
+    """POST /models/reload re-reads the INI preset and updates the model list."""
+    global server
+
+    preset_path = os.path.join(TMP_DIR, "test_reload.ini")
+
+    # Initial preset: two models
+    with open(preset_path, "w") as f:
+        f.write(
+            "[model-reload-a]\n"
+            "hf-repo = ggml-org/test-model-stories260K\n"
+            "\n"
+            "[model-reload-b]\n"
+            "hf-repo = ggml-org/test-model-stories260K-infill\n"
+        )
+
+    server.models_preset = preset_path
+    server.start()
+
+    ids = _get_model_ids(is_reload=False)
+    assert "model-reload-a" in ids
+    assert "model-reload-b" in ids
+
+    # Updated preset: remove a, keep b unchanged, add c
+    with open(preset_path, "w") as f:
+        f.write(
+            "[model-reload-b]\n"
+            "hf-repo = ggml-org/test-model-stories260K-infill\n"
+            "\n"
+            "[model-reload-c]\n"
+            "hf-repo = ggml-org/test-model-stories260K\n"
+        )
+
+    try:
+        ids = _get_model_ids(is_reload=True)
+        assert "model-reload-a" not in ids, "removed model should no longer appear"
+        assert "model-reload-b" in ids, "unchanged model should still appear"
+        assert "model-reload-c" in ids, "newly added model should appear"
+    finally:
+        os.remove(preset_path)
diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py
index b1a5ab9da..9fa84d165 100755
--- a/tools/server/tests/unit/test_tool_call.py
+++ b/tools/server/tests/unit/test_tool_call.py
@@ -126,69 +126,70 @@ def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict
             actual_arguments = json.loads(actual_arguments)
         assert argument_key in actual_arguments, f"tool arguments: {actual_arguments}, expected: {argument_key}"
 
-
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,tool,argument_key", [
-    ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
-    ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
-])
-def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
-    global server
-    n_predict = 1024
-    # server = ServerPreset.stories15m_moe()
-    server.jinja = True
-    server.n_predict = n_predict
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start()
-    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0)
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,tool,argument_key", [
-    ("meta-llama-Llama-3.1-8B-Instruct",              TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.1-8B-Instruct",              PYTHON_TOOL,          "code"),
-
-    ("meetkai-functionary-medium-v3.1",               TEST_TOOL,            "success"),
-    ("meetkai-functionary-medium-v3.1",               PYTHON_TOOL,          "code"),
-
-    ("meetkai-functionary-medium-v3.2",               TEST_TOOL,            "success"),
-    # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own.
-    # ("meetkai-functionary-medium-v3.2",               PYTHON_TOOL,          "code"),
-
-    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL,            "success"),
-    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL,          "code"),
-
-    ("meta-llama-Llama-3.2-3B-Instruct",              TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.2-3B-Instruct",              PYTHON_TOOL,          "code"),
-
-    ("mistralai-Mistral-Nemo-Instruct-2407",          TEST_TOOL,            "success"),
-    ("mistralai-Mistral-Nemo-Instruct-2407",          PYTHON_TOOL,          "code"),
-
-    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   TEST_TOOL,            "success"),
-    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   PYTHON_TOOL,          "code"),
-
-    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      TEST_TOOL,            "success"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      PYTHON_TOOL,          "code"),
-
-    ("fireworks-ai-llama-3-firefunction-v2",          TEST_TOOL,            "success"),
-    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "codeFalse), True),
-    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "code"),
-
-])
-def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
-    global server
-    n_predict = 512
-    # server = ServerPreset.stories15m_moe()
-    server.jinja = True
-    server.n_predict = n_predict
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_START_SLOW)
-    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED)
+# PR #22654: commented out since we're now allowing content before tool calls in tool_call: required, so we can't force this
+# in the tiny model just by using the grammar
+#
+# @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+# @pytest.mark.parametrize("template_name,tool,argument_key", [
+#     ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
+#     ("Qwen3-Coder",                                   TEST_TOOL,            "success"),
+#     ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
+#     ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
+#     ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
+#     ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
+# ])
+# def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
+#     global server
+#     n_predict = 1024
+#     # server = ServerPreset.stories15m_moe()
+#     server.jinja = True
+#     server.n_predict = n_predict
+#     server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+#     server.start()
+#     do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0)
+
+# @pytest.mark.slow
+# @pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+# @pytest.mark.parametrize("template_name,tool,argument_key", [
+#     ("meta-llama-Llama-3.1-8B-Instruct",              TEST_TOOL,            "success"),
+#     ("meta-llama-Llama-3.1-8B-Instruct",              PYTHON_TOOL,          "code"),
+
+#     ("meetkai-functionary-medium-v3.1",               TEST_TOOL,            "success"),
+#     ("meetkai-functionary-medium-v3.1",               PYTHON_TOOL,          "code"),
+
+#     ("meetkai-functionary-medium-v3.2",               TEST_TOOL,            "success"),
+#     # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own.
+#     # ("meetkai-functionary-medium-v3.2",               PYTHON_TOOL,          "code"),
+
+#     ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL,            "success"),
+#     ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL,          "code"),
+
+#     ("meta-llama-Llama-3.2-3B-Instruct",              TEST_TOOL,            "success"),
+#     ("meta-llama-Llama-3.2-3B-Instruct",              PYTHON_TOOL,          "code"),
+
+#     ("mistralai-Mistral-Nemo-Instruct-2407",          TEST_TOOL,            "success"),
+#     ("mistralai-Mistral-Nemo-Instruct-2407",          PYTHON_TOOL,          "code"),
+
+#     ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   TEST_TOOL,            "success"),
+#     ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   PYTHON_TOOL,          "code"),
+
+#     ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      TEST_TOOL,            "success"),
+#     ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      PYTHON_TOOL,          "code"),
+
+#     ("fireworks-ai-llama-3-firefunction-v2",          TEST_TOOL,            "success"),
+#     # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "codeFalse), True),
+#     # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "code"),
+
+# ])
+# def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
+#     global server
+#     n_predict = 512
+#     # server = ServerPreset.stories15m_moe()
+#     server.jinja = True
+#     server.n_predict = n_predict
+#     server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+#     server.start(timeout_seconds=TIMEOUT_START_SLOW)
+#     do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED)
 
 
 @pytest.mark.slow
diff --git a/tools/server/tests/unit/test_vision_api.py b/tools/server/tests/unit/test_vision_api.py
index 9408116d1..fb77084c8 100644
--- a/tools/server/tests/unit/test_vision_api.py
+++ b/tools/server/tests/unit/test_vision_api.py
@@ -37,6 +37,7 @@ def get_img_url(id: str) -> str:
 @pytest.fixture(autouse=True)
 def create_server():
     global server
+    os.environ['LLAMA_MEDIA_MARKER'] = '<__media__>'
     server = ServerPreset.tinygemma3()
 
 def test_models_supports_multimodal_capability():
diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py
index 5ddac5be4..15f9bd95d 100644
--- a/tools/server/tests/utils.py
+++ b/tools/server/tests/utils.py
@@ -5,6 +5,8 @@
 
 import subprocess
 import os
+
+TMP_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "tmp")
 import re
 import json
 from json import JSONDecodeError
@@ -83,15 +85,15 @@ class ServerProcess:
     kv_unified: bool | None = False
     server_slots: bool | None = False
     pooling: str | None = None
-    draft: int | None = None
     api_key: str | None = None
     models_dir: str | None = None
     models_max: int | None = None
+    models_preset: str | None = None
     no_models_autoload: bool | None = None
     lora_files: List[str] | None = None
     enable_ctx_shift: int | None = False
-    draft_min: int | None = None
-    draft_max: int | None = None
+    spec_draft_n_min: int | None = None
+    spec_draft_n_max: int | None = None
     no_webui: bool | None = None
     jinja: bool | None = None
     reasoning_format: Literal['deepseek', 'none', 'nothink'] | None = None
@@ -103,7 +105,7 @@ class ServerProcess:
     media_path: str | None = None
     sleep_idle_seconds: int | None = None
     cache_ram: int | None = None
-    no_clear_idle: bool = False
+    no_cache_idle_slots: bool = False
     log_path: str | None = None
     webui_mcp_proxy: bool = False
 
@@ -157,6 +159,8 @@ def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.extend(["--models-dir", self.models_dir])
         if self.models_max is not None:
             server_args.extend(["--models-max", self.models_max])
+        if self.models_preset:
+            server_args.extend(["--models-preset", self.models_preset])
         if self.n_batch:
             server_args.extend(["--batch-size", self.n_batch])
         if self.n_ubatch:
@@ -165,8 +169,6 @@ def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.extend(["--threads", self.n_threads])
         if self.n_gpu_layer:
             server_args.extend(["--n-gpu-layers", self.n_gpu_layer])
-        if self.draft is not None:
-            server_args.extend(["--draft", self.draft])
         if self.server_continuous_batching:
             server_args.append("--cont-batching")
         if self.server_embeddings:
@@ -214,10 +216,10 @@ def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.append("--context-shift")
         if self.api_key:
             server_args.extend(["--api-key", self.api_key])
-        if self.draft_max:
-            server_args.extend(["--draft-max", self.draft_max])
-        if self.draft_min:
-            server_args.extend(["--draft-min", self.draft_min])
+        if self.spec_draft_n_max:
+            server_args.extend(["--spec-draft-n-max", self.spec_draft_n_max])
+        if self.spec_draft_n_min:
+            server_args.extend(["--spec-draft-n-min", self.spec_draft_n_min])
         if self.no_webui:
             server_args.append("--no-webui")
         if self.no_models_autoload:
@@ -242,8 +244,8 @@ def start(self, timeout_seconds: int = DEFAULT_HTTP_TIMEOUT) -> None:
             server_args.extend(["--sleep-idle-seconds", self.sleep_idle_seconds])
         if self.cache_ram is not None:
             server_args.extend(["--cache-ram", self.cache_ram])
-        if self.no_clear_idle:
-            server_args.append("--no-clear-idle")
+        if self.no_cache_idle_slots:
+            server_args.append("--no-cache-idle-slots")
         if self.webui_mcp_proxy:
             server_args.append("--webui-mcp-proxy")
 
diff --git a/tools/server/themes/README.md b/tools/server/themes/README.md
deleted file mode 100644
index 62e721a27..000000000
--- a/tools/server/themes/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# LLaMA.cpp Server Wild Theme
-
-Simple themes directory of sample "public" directories. To try any of these add --path to your run like `server --path=wild`.
-
-![image](wild/wild.png)
diff --git a/tools/server/themes/buttons-top/README.md b/tools/server/themes/buttons-top/README.md
deleted file mode 100644
index 808c4cf81..000000000
--- a/tools/server/themes/buttons-top/README.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# LLaMA.cpp Server Buttons Top Theme
-
-Simple tweaks to the UI. Chat buttons at the top of the page instead of bottom so you can hit Stop instead of chasing it down the page.
-
-To use simply run server with `--path=themes/buttons_top`
-
-![image](buttons_top.png)
diff --git a/tools/server/themes/buttons-top/buttons_top.png b/tools/server/themes/buttons-top/buttons_top.png
deleted file mode 100644
index c54454519..000000000
Binary files a/tools/server/themes/buttons-top/buttons_top.png and /dev/null differ
diff --git a/tools/server/themes/buttons-top/favicon.ico b/tools/server/themes/buttons-top/favicon.ico
deleted file mode 100644
index 89e154a0a..000000000
Binary files a/tools/server/themes/buttons-top/favicon.ico and /dev/null differ
diff --git a/tools/server/themes/buttons-top/index.html b/tools/server/themes/buttons-top/index.html
deleted file mode 100644
index cb5af587a..000000000
--- a/tools/server/themes/buttons-top/index.html
+++ /dev/null
@@ -1,1052 +0,0 @@
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .right {
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="right">
-            <button type="submit" disabled=${generating.value}>Send</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button onclick=${reset}>Reset</button>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
-        .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*/g, '<em>$1</em>')
-        .replace(/_(.*?)_/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <h1>llama.cpp</h1>
-          </header>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
-        </div>
-      `;
-    }
-
-    render(h(App), document.querySelector('#container'));
-  </script>
-</head>
-
-<body>
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/themes/wild/README.md b/tools/server/themes/wild/README.md
deleted file mode 100644
index 560bcc81b..000000000
--- a/tools/server/themes/wild/README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# LLaMA.cpp Server Wild Theme
-
-Simple tweaks to the UI. To use simply run server with `--path=themes/wild`
-
-![image](wild.png)
diff --git a/tools/server/themes/wild/favicon.ico b/tools/server/themes/wild/favicon.ico
deleted file mode 100644
index 89e154a0a..000000000
Binary files a/tools/server/themes/wild/favicon.ico and /dev/null differ
diff --git a/tools/server/themes/wild/index.html b/tools/server/themes/wild/index.html
deleted file mode 100644
index 601f7762c..000000000
--- a/tools/server/themes/wild/index.html
+++ /dev/null
@@ -1,1056 +0,0 @@
-<html>
-
-<head>
-  <meta charset="UTF-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-  <meta name="color-scheme" content="light dark">
-  <title>llama.cpp - chat</title>
-
-  <style>
-    body {
-      font-family: system-ui;
-      font-size: 90%;
-      background-image: url('llamapattern.png');
-    }
-
-    #container {
-      margin: 0em auto;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      height: 100%;
-    }
-
-    main {
-      margin: 3px;
-      display: flex;
-      flex-direction: column;
-      justify-content: space-between;
-      gap: 1em;
-
-      flex-grow: 1;
-      overflow-y: auto;
-
-      border: 1px solid #ccc;
-      border-radius: 5px;
-      padding: 0.5em;
-
-      background-color: rgba(255,255,255,0.9);
-    }
-
-    body {
-      max-width: 600px;
-      min-width: 300px;
-      line-height: 1.2;
-      margin: 0 auto;
-      padding: 0 0.5em;
-    }
-
-    p {
-      overflow-wrap: break-word;
-      word-wrap: break-word;
-      hyphens: auto;
-      margin-top: 0.5em;
-      margin-bottom: 0.5em;
-    }
-
-    #write form {
-      margin: 1em 0 0 0;
-      display: flex;
-      flex-direction: column;
-      gap: 0.5em;
-      align-items: stretch;
-    }
-
-    .right {
-      display: flex;
-      flex-direction: row;
-      gap: 0.5em;
-      justify-content: flex-end;
-    }
-
-    fieldset {
-      border: none;
-      padding: 0;
-      margin: 0;
-    }
-
-    fieldset.two {
-      display: grid;
-      grid-template: "a a";
-      gap: 1em;
-    }
-
-    fieldset.three {
-      display: grid;
-      grid-template: "a a a";
-      gap: 1em;
-    }
-
-    details {
-      border: 1px solid #aaa;
-      border-radius: 4px;
-      padding: 0.5em 0.5em 0;
-      margin-top: 0.5em;
-    }
-
-    summary {
-      font-weight: bold;
-      margin: -0.5em -0.5em 0;
-      padding: 0.5em;
-      cursor: pointer;
-    }
-
-    details[open] {
-      padding: 0.5em;
-    }
-
-    .prob-set {
-      padding: 0.3em;
-      border-bottom: 1px solid #ccc;
-    }
-
-    .popover-content {
-      position: absolute;
-      background-color: white;
-      padding: 0.2em;
-      box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-    }
-
-    textarea {
-      padding: 5px;
-      flex-grow: 1;
-      width: 100%;
-    }
-
-    pre code {
-      display: block;
-      background-color: #222;
-      color: #ddd;
-    }
-
-    code {
-      font-family: monospace;
-      padding: 0.1em 0.3em;
-      border-radius: 3px;
-    }
-
-    fieldset label {
-      margin: 0.5em 0;
-      display: block;
-    }
-
-    fieldset label.slim {
-      margin: 0 0.5em;
-      display: inline;
-    }
-
-    header,
-    footer {
-      text-align: center;
-    }
-
-    footer {
-      font-size: 80%;
-      color: #888;
-    }
-
-    .mode-chat textarea[name=prompt] {
-      height: 4.5em;
-    }
-
-    .mode-completion textarea[name=prompt] {
-      height: 10em;
-    }
-
-    [contenteditable] {
-      display: inline-block;
-      white-space: pre-wrap;
-      outline: 0px solid transparent;
-    }
-
-    @keyframes loading-bg-wipe {
-      0% {
-        background-position: 0%;
-      }
-
-      100% {
-        background-position: 100%;
-      }
-    }
-
-    .loading {
-      --loading-color-1: #eeeeee00;
-      --loading-color-2: #eeeeeeff;
-      background-size: 50% 100%;
-      background-image: linear-gradient(90deg, var(--loading-color-1), var(--loading-color-2), var(--loading-color-1));
-      animation: loading-bg-wipe 2s linear infinite;
-    }
-
-    @media (prefers-color-scheme: dark) {
-      .loading {
-        --loading-color-1: #22222200;
-        --loading-color-2: #222222ff;
-      }
-
-      .popover-content {
-        background-color: black;
-      }
-    }
-  </style>
-
-  <script type="module">
-    import {
-      html, h, signal, effect, computed, render, useSignal, useEffect, useRef, Component
-    } from './index.js';
-
-    import { llama } from './completion.js';
-    import { SchemaConverter } from './json-schema-to-grammar.mjs';
-    let selected_image = false;
-    var slot_id = -1;
-
-    const session = signal({
-      prompt: "This is a conversation between User and Llama, a friendly chatbot. Llama is helpful, kind, honest, good at writing, and never fails to answer any requests immediately and with precision.",
-      template: "{{prompt}}\n\n{{history}}\n{{char}}:",
-      historyTemplate: "{{name}}: {{message}}",
-      transcript: [],
-      type: "chat",  // "chat" | "completion"
-      char: "Llama",
-      user: "User",
-      image_selected: ''
-    })
-
-    const params = signal({
-      n_predict: 400,
-      temperature: 0.7,
-      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
-      repeat_penalty: 1.18, // 1.0 = disabled
-      top_k: 40, // <= 0 to use vocab size
-      top_p: 0.95, // 1.0 = disabled
-      min_p: 0.05, // 0 = disabled
-      typical_p: 1.0, // 1.0 = disabled
-      presence_penalty: 0.0, // 0.0 = disabled
-      frequency_penalty: 0.0, // 0.0 = disabled
-      mirostat: 0, // 0/1/2
-      mirostat_tau: 5, // target entropy
-      mirostat_eta: 0.1, // learning rate
-      grammar: '',
-      n_probs: 0, // no completion_probabilities,
-      min_keep: 0, // min probs from each sampler,
-      image_data: [],
-      cache_prompt: true,
-      api_key: ''
-    })
-
-    /* START: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const local_storage_storageKey = "llamacpp_server_local_storage";
-
-    function local_storage_setDataFromObject(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, JSON.stringify(content));
-    }
-
-    function local_storage_setDataFromRawText(tag, content) {
-      localStorage.setItem(local_storage_storageKey + '/' + tag, content);
-    }
-
-    function local_storage_getDataAsObject(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return JSON.parse(item);
-      }
-    }
-
-    function local_storage_getDataAsRawText(tag) {
-      const item = localStorage.getItem(local_storage_storageKey + '/' + tag);
-      if (!item) {
-        return null;
-      } else {
-        return item;
-      }
-    }
-
-    // create a container for user templates and settings
-
-    const savedUserTemplates = signal({})
-    const selectedUserTemplate = signal({ name: '', template: { session: {}, params: {} } })
-
-    // let's import locally saved templates and settings if there are any
-    // user templates and settings are stored in one object
-    // in form of { "templatename": "templatedata" } and { "settingstemplatename":"settingsdata" }
-
-    console.log('Importing saved templates')
-
-    let importedTemplates = local_storage_getDataAsObject('user_templates')
-
-    if (importedTemplates) {
-      // saved templates were successfully imported.
-
-      console.log('Processing saved templates and updating default template')
-      params.value = { ...params.value, image_data: [] };
-
-      //console.log(importedTemplates);
-      savedUserTemplates.value = importedTemplates;
-
-      //override default template
-      savedUserTemplates.value.default = { session: session.value, params: params.value }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    } else {
-      // no saved templates detected.
-
-      console.log('Initializing LocalStorage and saving default template')
-
-      savedUserTemplates.value = { "default": { session: session.value, params: params.value } }
-      local_storage_setDataFromObject('user_templates', savedUserTemplates.value)
-    }
-
-    function userTemplateResetToDefault() {
-      console.log('Resetting template to default')
-      selectedUserTemplate.value.name = 'default';
-      selectedUserTemplate.value.data = savedUserTemplates.value['default'];
-    }
-
-    function userTemplateApply(t) {
-      session.value = t.data.session;
-      session.value = { ...session.value, image_selected: '' };
-      params.value = t.data.params;
-      params.value = { ...params.value, image_data: [] };
-    }
-
-    function userTemplateResetToDefaultAndApply() {
-      userTemplateResetToDefault()
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    function userTemplateLoadAndApplyAutosaved() {
-      // get autosaved last used template
-      let lastUsedTemplate = local_storage_getDataAsObject('user_templates_last')
-
-      if (lastUsedTemplate) {
-
-        console.log('Autosaved template found, restoring')
-
-        selectedUserTemplate.value = lastUsedTemplate
-      }
-      else {
-
-        console.log('No autosaved template found, using default template')
-        // no autosaved last used template was found, so load from default.
-
-        userTemplateResetToDefault()
-      }
-
-      console.log('Applying template')
-      // and update internal data from templates
-
-      userTemplateApply(selectedUserTemplate.value)
-    }
-
-    //console.log(savedUserTemplates.value)
-    //console.log(selectedUserTemplate.value)
-
-    function userTemplateAutosave() {
-      console.log('Template Autosave...')
-      if (selectedUserTemplate.value.name == 'default') {
-        // we don't want to save over default template, so let's create a new one
-        let newTemplateName = 'UserTemplate-' + Date.now().toString()
-        let newTemplate = { 'name': newTemplateName, 'data': { 'session': session.value, 'params': params.value } }
-
-        console.log('Saving as ' + newTemplateName)
-
-        // save in the autosave slot
-        local_storage_setDataFromObject('user_templates_last', newTemplate)
-
-        // and load it back and apply
-        userTemplateLoadAndApplyAutosaved()
-      } else {
-        local_storage_setDataFromObject('user_templates_last', { 'name': selectedUserTemplate.value.name, 'data': { 'session': session.value, 'params': params.value } })
-      }
-    }
-
-    console.log('Checking for autosaved last used template')
-    userTemplateLoadAndApplyAutosaved()
-
-    /* END: Support for storing prompt templates and parameters in browsers LocalStorage */
-
-    const llamaStats = signal(null)
-    const controller = signal(null)
-
-    // currently generating a completion?
-    const generating = computed(() => controller.value != null)
-
-    // has the user started a chat?
-    const chatStarted = computed(() => session.value.transcript.length > 0)
-
-    const transcriptUpdate = (transcript) => {
-      session.value = {
-        ...session.value,
-        transcript
-      }
-    }
-
-    // simple template replace
-    const template = (str, extraSettings) => {
-      let settings = session.value;
-      if (extraSettings) {
-        settings = { ...settings, ...extraSettings };
-      }
-      return String(str).replaceAll(/\{\{(.*?)\}\}/g, (_, key) => template(settings[key]));
-    }
-
-    async function runLlama(prompt, llamaParams, char) {
-      const currentMessages = [];
-      const history = session.value.transcript;
-      if (controller.value) {
-        throw new Error("already running");
-      }
-      controller.value = new AbortController();
-      for await (const chunk of llama(prompt, llamaParams, { controller: controller.value, api_url: location.pathname.replace(/\/+$/, '') })) {
-        const data = chunk.data;
-
-        if (data.stop) {
-          while (
-            currentMessages.length > 0 &&
-            currentMessages[currentMessages.length - 1].content.match(/\n$/) != null
-          ) {
-            currentMessages.pop();
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-          console.log("Completion finished: '", currentMessages.map(msg => msg.content).join(''), "', summary: ", data);
-        } else {
-          currentMessages.push(data);
-          slot_id = data.slot_id;
-          if (selected_image && !data.multimodal) {
-            alert("The server was not compiled for multimodal or the model projector can't be loaded.");
-            return;
-          }
-          transcriptUpdate([...history, [char, currentMessages]])
-        }
-
-        if (data.timings) {
-          llamaStats.value = data;
-        }
-      }
-
-      controller.value = null;
-    }
-
-    // send message to server
-    const chat = async (msg) => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-
-      transcriptUpdate([...session.value.transcript, ["{{user}}", msg]])
-
-      let prompt = template(session.value.template, {
-        message: msg,
-        history: session.value.transcript.flatMap(
-          ([name, data]) =>
-            template(
-              session.value.historyTemplate,
-              {
-                name,
-                message: Array.isArray(data) ?
-                  data.map(msg => msg.content).join('').replace(/^\s/, '') :
-                  data,
-              }
-            )
-        ).join("\n"),
-      });
-      if (selected_image) {
-        prompt = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\nUSER:[img-10]${msg}\nASSISTANT:`;
-      }
-      await runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: ["</s>", template("{{char}}:"), template("{{user}}:")],
-      }, "{{char}}");
-    }
-
-    const runCompletion = () => {
-      if (controller.value) {
-        console.log('already running...');
-        return;
-      }
-      const { prompt } = session.value;
-      transcriptUpdate([...session.value.transcript, ["", prompt]]);
-      runLlama(prompt, {
-        ...params.value,
-        slot_id: slot_id,
-        stop: [],
-      }, "").finally(() => {
-        session.value.prompt = session.value.transcript.map(([_, data]) =>
-          Array.isArray(data) ? data.map(msg => msg.content).join('') : data
-        ).join('');
-        session.value.transcript = [];
-      })
-    }
-
-    const stop = (e) => {
-      e.preventDefault();
-      if (controller.value) {
-        controller.value.abort();
-        controller.value = null;
-      }
-    }
-
-    const reset = (e) => {
-      stop(e);
-      transcriptUpdate([]);
-    }
-
-    const uploadImage = (e) => {
-      e.preventDefault();
-      document.getElementById("fileInput").click();
-      document.getElementById("fileInput").addEventListener("change", function (event) {
-        const selectedFile = event.target.files[0];
-        if (selectedFile) {
-          const reader = new FileReader();
-          reader.onload = function () {
-            const image_data = reader.result;
-            session.value = { ...session.value, image_selected: image_data };
-            params.value = {
-              ...params.value, image_data: [
-                { data: image_data.replace(/data:image\/[^;]+;base64,/, ''), id: 10 }]
-            }
-          };
-          selected_image = true;
-          reader.readAsDataURL(selectedFile);
-        }
-      });
-    }
-
-    function MessageInput() {
-      const message = useSignal("")
-
-      const submit = (e) => {
-        stop(e);
-        chat(message.value);
-        message.value = "";
-      }
-
-      const enterSubmits = (event) => {
-        if (event.which === 13 && !event.shiftKey) {
-          submit(event);
-        }
-      }
-
-      return html`
-        <form onsubmit=${submit}>
-          <div>
-            <textarea
-               className=${generating.value ? "loading" : null}
-               oninput=${(e) => message.value = e.target.value}
-               onkeypress=${enterSubmits}
-               placeholder="Say something..."
-               rows=2
-               type="text"
-               value="${message}"
-            />
-          </div>
-          <div class="right">
-            <button type="submit" disabled=${generating.value}>Send</button>
-            <button onclick=${uploadImage}>Upload Image</button>
-            <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-            <button onclick=${reset}>Reset</button>
-          </div>
-        </form>
-      `
-    }
-
-    function CompletionControls() {
-      const submit = (e) => {
-        stop(e);
-        runCompletion();
-      }
-      return html`
-        <div>
-          <button onclick=${submit} type="button" disabled=${generating.value}>Start</button>
-          <button onclick=${stop} disabled=${!generating.value}>Stop</button>
-          <button onclick=${reset}>Reset</button>
-        </div>`;
-    }
-
-    const ChatLog = (props) => {
-      const messages = session.value.transcript;
-      const container = useRef(null)
-
-      useEffect(() => {
-        // scroll to bottom (if needed)
-        const parent = container.current.parentElement;
-        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
-          parent.scrollTo(0, parent.scrollHeight)
-        }
-      }, [messages])
-
-      const isCompletionMode = session.value.type === 'completion'
-      const chatLine = ([user, data], index) => {
-        let message
-        const isArrayMessage = Array.isArray(data)
-        if (params.value.n_probs > 0 && isArrayMessage) {
-          message = html`<${Probabilities} data=${data} />`
-        } else {
-          const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
-            data;
-          message = isCompletionMode ?
-            text :
-            html`<${Markdownish} text=${template(text)} />`
-        }
-        if (user) {
-          return html`<p key=${index}><strong>${template(user)}:</strong> ${message}</p>`
-        } else {
-          return isCompletionMode ?
-            html`<span key=${index}>${message}</span>` :
-            html`<p key=${index}>${message}</p>`
-        }
-      };
-
-      const handleCompletionEdit = (e) => {
-        session.value.prompt = e.target.innerText;
-        session.value.transcript = [];
-      }
-
-      return html`
-        <div id="chat" ref=${container} key=${messages.length}>
-          <img style="width: 60%;${!session.value.image_selected ? `display: none;` : ``}" src="${session.value.image_selected}"/>
-          <span contenteditable=${isCompletionMode} ref=${container} oninput=${handleCompletionEdit}>
-            ${messages.flatMap(chatLine)}
-          </span>
-        </div>`;
-    };
-
-    const ConfigForm = (props) => {
-      const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
-      const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
-      const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
-      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
-      const updateParamsBool = (el) => params.value = { ...params.value, [el.target.name]: el.target.checked }
-
-      const grammarJsonSchemaPropOrder = signal('')
-      const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
-      const convertJSONSchemaGrammar = async () => {
-        try {
-          let schema = JSON.parse(params.value.grammar)
-          const converter = new SchemaConverter({
-            prop_order: grammarJsonSchemaPropOrder.value
-              .split(',')
-              .reduce((acc, cur, i) => ({ ...acc, [cur.trim()]: i }), {}),
-            allow_fetch: true,
-          })
-          schema = await converter.resolveRefs(schema, 'input')
-          converter.visit(schema, '')
-          params.value = {
-            ...params.value,
-            grammar: converter.formatGrammar(),
-          }
-        } catch (e) {
-          alert(`Convert failed: ${e.message}`)
-        }
-      }
-
-      const FloatField = ({ label, max, min, name, step, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const IntField = ({ label, max, min, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
-            <span>${value}</span>
-          </div>
-        `
-      };
-
-      const BoolField = ({ label, name, value }) => {
-        return html`
-          <div>
-            <label for="${name}">${label}</label>
-            <input type="checkbox" id="${name}" name="${name}" checked="${value}" onclick=${updateParamsBool} />
-          </div>
-        `
-      };
-
-      const userTemplateReset = (e) => {
-        e.preventDefault();
-        userTemplateResetToDefaultAndApply()
-      }
-
-      const UserTemplateResetButton = () => {
-        if (selectedUserTemplate.value.name == 'default') {
-          return html`
-            <button disabled>Using default template</button>
-          `
-        }
-
-        return html`
-          <button onclick=${userTemplateReset}>Reset all to default</button>
-        `
-      };
-
-      useEffect(() => {
-        // autosave template on every change
-        userTemplateAutosave()
-      }, [session.value, params.value])
-
-      const GrammarControl = () => (
-        html`
-          <div>
-            <label for="template">Grammar</label>
-            <textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
-            <input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
-          </div>
-          `
-      );
-
-      const PromptControlFieldSet = () => (
-        html`
-        <fieldset>
-          <div>
-            <label htmlFor="prompt">Prompt</label>
-            <textarea type="text" name="prompt" value="${session.value.prompt}" oninput=${updateSession}/>
-          </div>
-        </fieldset>
-        `
-      );
-
-      const ChatConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-
-          <fieldset class="two">
-            <div>
-              <label for="user">User name</label>
-              <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
-            </div>
-
-            <div>
-              <label for="bot">Bot name</label>
-              <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
-            </div>
-          </fieldset>
-
-          <fieldset>
-            <div>
-              <label for="template">Prompt template</label>
-              <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
-            </div>
-
-            <div>
-              <label for="template">Chat history template</label>
-              <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
-            </div>
-            ${GrammarControl()}
-          </fieldset>
-      `
-      );
-
-      const CompletionConfigForm = () => (
-        html`
-          ${PromptControlFieldSet()}
-          <fieldset>${GrammarControl()}</fieldset>
-        `
-      );
-
-      return html`
-        <form>
-          <fieldset class="two">
-            <${UserTemplateResetButton}/>
-            <div>
-              <label class="slim"><input type="radio" name="type" value="chat" checked=${session.value.type === "chat"} oninput=${updateSession} /> Chat</label>
-              <label class="slim"><input type="radio" name="type" value="completion" checked=${session.value.type === "completion"} oninput=${updateSession} /> Completion</label>
-            </div>
-          </fieldset>
-
-          ${session.value.type === 'chat' ? ChatConfigForm() : CompletionConfigForm()}
-
-          <fieldset class="two">
-            ${IntField({ label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict })}
-            ${FloatField({ label: "Temperature", max: 2.0, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature })}
-            ${FloatField({ label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty })}
-            ${IntField({ label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n })}
-            ${IntField({ label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k })}
-            ${FloatField({ label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p })}
-            ${FloatField({ label: "Min-P sampling", max: 1.0, min: 0.0, name: "min_p", step: 0.01, value: params.value.min_p })}
-          </fieldset>
-          <details>
-            <summary>More options</summary>
-            <fieldset class="two">
-              ${FloatField({ label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p })}
-              ${FloatField({ label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty })}
-              ${FloatField({ label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty })}
-            </fieldset>
-            <hr />
-            <fieldset class="three">
-              <div>
-                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
-                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
-                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
-              </div>
-              ${FloatField({ label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau })}
-              ${FloatField({ label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Show Probabilities", max: 10, min: 0, name: "n_probs", value: params.value.n_probs })}
-            </fieldset>
-            <fieldset>
-              ${IntField({ label: "Min Probabilities from each Sampler", max: 10, min: 0, name: "min_keep", value: params.value.min_keep })}
-            </fieldset>
-            <fieldset>
-              <label for="api_key">API Key</label>
-              <input type="text" name="api_key" value="${params.value.api_key}" placeholder="Enter API key" oninput=${updateParams} />
-            </fieldset>
-          </details>
-        </form>
-      `
-    }
-
-    const probColor = (p) => {
-      const r = Math.floor(192 * (1 - p));
-      const g = Math.floor(192 * p);
-      return `rgba(${r},${g},0,0.3)`;
-    }
-
-    const Probabilities = (params) => {
-      return params.data.map(msg => {
-        const { completion_probabilities } = msg;
-        if (
-          !completion_probabilities ||
-          completion_probabilities.length === 0
-        ) return msg.content
-
-        if (completion_probabilities.length > 1) {
-          // Not for byte pair
-          if (completion_probabilities[0].content.startsWith('byte: \\')) return msg.content
-
-          const splitData = completion_probabilities.map(prob => ({
-            content: prob.content,
-            completion_probabilities: [prob]
-          }))
-          return html`<${Probabilities} data=${splitData} />`
-        }
-
-        const { probs, content } = completion_probabilities[0]
-        const found = probs.find(p => p.tok_str === msg.content)
-        const pColor = found ? probColor(found.prob) : 'transparent'
-
-        const popoverChildren = html`
-          <div class="prob-set">
-            ${probs.map((p, index) => {
-          return html`
-                <div
-                  key=${index}
-                  title=${`prob: ${p.prob}`}
-                  style=${{
-              padding: '0.3em',
-              backgroundColor: p.tok_str === content ? probColor(p.prob) : 'transparent'
-            }}
-                >
-                  <span>${p.tok_str}: </span>
-                  <span>${Math.floor(p.prob * 100)}%</span>
-                </div>
-              `
-        })}
-          </div>
-        `
-
-        return html`
-          <${Popover} style=${{ backgroundColor: pColor }} popoverChildren=${popoverChildren}>
-            ${msg.content.match(/\n/gim) ? html`<br />` : msg.content}
-          </>
-        `
-      });
-    }
-
-    // poor mans markdown replacement
-    const Markdownish = (params) => {
-      const md = params.text
-        .replace(/&/g, '&amp;')
-        .replace(/</g, '&lt;')
-        .replace(/>/g, '&gt;')
-        .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
-        .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
-        .replace(/__(.*?)__/g, '<strong>$1</strong>')
-        .replace(/\*(.*?)\*/g, '<em>$1</em>')
-        .replace(/_(.*?)_/g, '<em>$1</em>')
-        .replace(/```.*?\n([\s\S]*?)```/g, '<pre><code>$1</code></pre>')
-        .replace(/`(.*?)`/g, '<code>$1</code>')
-        .replace(/\n/gim, '<br />');
-      return html`<span dangerouslySetInnerHTML=${{ __html: md }} />`;
-    };
-
-    const ModelGenerationInfo = (params) => {
-      if (!llamaStats.value) {
-        return html`<span/>`
-      }
-      return html`
-        <span>
-          ${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
-        </span>
-      `
-    }
-
-    // simple popover impl
-    const Popover = (props) => {
-      const isOpen = useSignal(false);
-      const position = useSignal({ top: '0px', left: '0px' });
-      const buttonRef = useRef(null);
-      const popoverRef = useRef(null);
-
-      const togglePopover = () => {
-        if (buttonRef.current) {
-          const rect = buttonRef.current.getBoundingClientRect();
-          position.value = {
-            top: `${rect.bottom + window.scrollY}px`,
-            left: `${rect.left + window.scrollX}px`,
-          };
-        }
-        isOpen.value = !isOpen.value;
-      };
-
-      const handleClickOutside = (event) => {
-        if (popoverRef.current && !popoverRef.current.contains(event.target) && !buttonRef.current.contains(event.target)) {
-          isOpen.value = false;
-        }
-      };
-
-      useEffect(() => {
-        document.addEventListener('mousedown', handleClickOutside);
-        return () => {
-          document.removeEventListener('mousedown', handleClickOutside);
-        };
-      }, []);
-
-      return html`
-        <span style=${props.style} ref=${buttonRef} onClick=${togglePopover}>${props.children}</span>
-        ${isOpen.value && html`
-          <${Portal} into="#portal">
-            <div
-              ref=${popoverRef}
-              class="popover-content"
-              style=${{
-            top: position.value.top,
-            left: position.value.left,
-          }}
-            >
-              ${props.popoverChildren}
-            </div>
-          </${Portal}>
-        `}
-      `;
-    };
-
-    // Source: preact-portal (https://github.com/developit/preact-portal/blob/master/src/preact-portal.js)
-    /** Redirect rendering of descendants into the given CSS selector */
-    class Portal extends Component {
-      componentDidUpdate(props) {
-        for (let i in props) {
-          if (props[i] !== this.props[i]) {
-            return setTimeout(this.renderLayer);
-          }
-        }
-      }
-
-      componentDidMount() {
-        this.isMounted = true;
-        this.renderLayer = this.renderLayer.bind(this);
-        this.renderLayer();
-      }
-
-      componentWillUnmount() {
-        this.renderLayer(false);
-        this.isMounted = false;
-        if (this.remote && this.remote.parentNode) this.remote.parentNode.removeChild(this.remote);
-      }
-
-      findNode(node) {
-        return typeof node === 'string' ? document.querySelector(node) : node;
-      }
-
-      renderLayer(show = true) {
-        if (!this.isMounted) return;
-
-        // clean up old node if moving bases:
-        if (this.props.into !== this.intoPointer) {
-          this.intoPointer = this.props.into;
-          if (this.into && this.remote) {
-            this.remote = render(html`<${PortalProxy} />`, this.into, this.remote);
-          }
-          this.into = this.findNode(this.props.into);
-        }
-
-        this.remote = render(html`
-          <${PortalProxy} context=${this.context}>
-            ${show && this.props.children || null}
-          </${PortalProxy}>
-        `, this.into, this.remote);
-      }
-
-      render() {
-        return null;
-      }
-    }
-    // high-order component that renders its first child if it exists.
-    // used as a conditional rendering proxy.
-    class PortalProxy extends Component {
-      getChildContext() {
-        return this.props.context;
-      }
-      render({ children }) {
-        return children || null;
-      }
-    }
-
-    function App(props) {
-      useEffect(() => {
-        const query = new URLSearchParams(location.search).get("q");
-        if (query) chat(query);
-      }, []);
-
-      return html`
-        <div class="mode-${session.value.type}">
-          <header>
-            <img src="llama_cpp.png" style="width:100%"/>
-          </header>
-
-          <section id="write">
-            <${session.value.type === 'chat' ? MessageInput : CompletionControls} />
-          </section>
-
-          <main id="content">
-            <${chatStarted.value ? ChatLog : ConfigForm} />
-          </main>
-
-
-          <footer>
-            <p><${ModelGenerationInfo} /></p>
-            <p>Powered by <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> and <a href="https://ggml.ai">ggml.ai</a>.</p>
-          </footer>
-        </div>
-      `;
-    }
-
-    render(h(App), document.querySelector('#container'));
-  </script>
-</head>
-
-<body>
-  <div id="container">
-    <input type="file" id="fileInput" accept="image/*" style="display: none;">
-  </div>
-  <div id="portal"></div>
-</body>
-
-</html>
diff --git a/tools/server/themes/wild/llama_cpp.png b/tools/server/themes/wild/llama_cpp.png
deleted file mode 100644
index bad1dc9fc..000000000
Binary files a/tools/server/themes/wild/llama_cpp.png and /dev/null differ
diff --git a/tools/server/themes/wild/llamapattern.png b/tools/server/themes/wild/llamapattern.png
deleted file mode 100644
index 2a159ce6a..000000000
Binary files a/tools/server/themes/wild/llamapattern.png and /dev/null differ
diff --git a/tools/server/themes/wild/wild.png b/tools/server/themes/wild/wild.png
deleted file mode 100644
index 46ffa0f3e..000000000
Binary files a/tools/server/themes/wild/wild.png and /dev/null differ
diff --git a/tools/server/webui/.storybook/ModeWatcherDecorator.svelte b/tools/server/webui/.storybook/decorators/ModeWatcherDecorator.svelte
similarity index 100%
rename from tools/server/webui/.storybook/ModeWatcherDecorator.svelte
rename to tools/server/webui/.storybook/decorators/ModeWatcherDecorator.svelte
diff --git a/tools/server/webui/.storybook/TooltipProviderDecorator.svelte b/tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte
similarity index 72%
rename from tools/server/webui/.storybook/TooltipProviderDecorator.svelte
rename to tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte
index 9aad1eaa4..ba0cabc56 100644
--- a/tools/server/webui/.storybook/TooltipProviderDecorator.svelte
+++ b/tools/server/webui/.storybook/decorators/TooltipProviderDecorator.svelte
@@ -1,5 +1,5 @@
 <script lang="ts">
-	import * as Tooltip from '../src/lib/components/ui/tooltip';
+	import * as Tooltip from '../../src/lib/components/ui/tooltip';
 
 	interface Props {
 		children: any;
diff --git a/tools/server/webui/.storybook/preview.ts b/tools/server/webui/.storybook/preview.ts
index 566dbfd28..4610229a6 100644
--- a/tools/server/webui/.storybook/preview.ts
+++ b/tools/server/webui/.storybook/preview.ts
@@ -1,7 +1,7 @@
 import type { Preview } from '@storybook/sveltekit';
 import '../src/app.css';
-import ModeWatcherDecorator from './ModeWatcherDecorator.svelte';
-import TooltipProviderDecorator from './TooltipProviderDecorator.svelte';
+import ModeWatcherDecorator from './decorators/ModeWatcherDecorator.svelte';
+import TooltipProviderDecorator from './decorators/TooltipProviderDecorator.svelte';
 
 const preview: Preview = {
 	parameters: {
diff --git a/tools/server/webui/package-lock.json b/tools/server/webui/package-lock.json
index 957fddaba..b4f63c356 100644
--- a/tools/server/webui/package-lock.json
+++ b/tools/server/webui/package-lock.json
@@ -1,11 +1,11 @@
 {
-	"name": "webui",
+	"name": "llama-server-webui",
 	"version": "1.0.0",
 	"lockfileVersion": 3,
 	"requires": true,
 	"packages": {
 		"": {
-			"name": "webui",
+			"name": "llama-server-webui",
 			"version": "1.0.0",
 			"dependencies": {
 				"@modelcontextprotocol/sdk": "^1.25.1",
@@ -51,7 +51,6 @@
 				"eslint-config-prettier": "^10.0.1",
 				"eslint-plugin-storybook": "^10.2.4",
 				"eslint-plugin-svelte": "^3.0.0",
-				"fflate": "^0.8.2",
 				"globals": "^16.0.0",
 				"http-server": "^14.1.1",
 				"mdast": "^3.0.0",
@@ -81,9 +80,9 @@
 			}
 		},
 		"node_modules/@adobe/css-tools": {
-			"version": "4.4.3",
-			"resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.4.3.tgz",
-			"integrity": "sha512-VQKMkwriZbaOgVCby1UDY/LDk5fIjhQicCvVPFqfe+69fWaPWydbWJ3wRt59/YzIwda1I81loas3oCoHxnqvdA==",
+			"version": "4.4.4",
+			"resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.4.4.tgz",
+			"integrity": "sha512-Elp+iwUx5rN5+Y8xLt5/GRoG20WGoDCQ/1Fb+1LiGtvwbDavuSk0jhD/eZdckHAuzcDzccnkv+rEjyWfRx18gg==",
 			"dev": true,
 			"license": "MIT"
 		},
@@ -208,9 +207,9 @@
 			}
 		},
 		"node_modules/@esbuild/aix-ppc64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.8.tgz",
-			"integrity": "sha512-urAvrUedIqEiFR3FYSLTWQgLu5tb+m0qZw0NBEasUeo6wuqatkMDaRT+1uABiGXEu5vqgPd7FGE1BhsAIy9QVA==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.7.tgz",
+			"integrity": "sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==",
 			"cpu": [
 				"ppc64"
 			],
@@ -225,9 +224,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-arm": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.8.tgz",
-			"integrity": "sha512-RONsAvGCz5oWyePVnLdZY/HHwA++nxYWIX1atInlaW6SEkwq6XkP3+cb825EUcRs5Vss/lGh/2YxAb5xqc07Uw==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.27.7.tgz",
+			"integrity": "sha512-jbPXvB4Yj2yBV7HUfE2KHe4GJX51QplCN1pGbYjvsyCZbQmies29EoJbkEc+vYuU5o45AfQn37vZlyXy4YJ8RQ==",
 			"cpu": [
 				"arm"
 			],
@@ -242,9 +241,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-arm64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.8.tgz",
-			"integrity": "sha512-OD3p7LYzWpLhZEyATcTSJ67qB5D+20vbtr6vHlHWSQYhKtzUYrETuWThmzFpZtFsBIxRvhO07+UgVA9m0i/O1w==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.27.7.tgz",
+			"integrity": "sha512-62dPZHpIXzvChfvfLJow3q5dDtiNMkwiRzPylSCfriLvZeq0a1bWChrGx/BbUbPwOrsWKMn8idSllklzBy+dgQ==",
 			"cpu": [
 				"arm64"
 			],
@@ -259,9 +258,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-x64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.8.tgz",
-			"integrity": "sha512-yJAVPklM5+4+9dTeKwHOaA+LQkmrKFX96BM0A/2zQrbS6ENCmxc4OVoBs5dPkCCak2roAD+jKCdnmOqKszPkjA==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.27.7.tgz",
+			"integrity": "sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==",
 			"cpu": [
 				"x64"
 			],
@@ -276,9 +275,9 @@
 			}
 		},
 		"node_modules/@esbuild/darwin-arm64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.25.8.tgz",
-			"integrity": "sha512-Jw0mxgIaYX6R8ODrdkLLPwBqHTtYHJSmzzd+QeytSugzQ0Vg4c5rDky5VgkoowbZQahCbsv1rT1KW72MPIkevw==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.27.7.tgz",
+			"integrity": "sha512-5lckdqeuBPlKUwvoCXIgI2D9/ABmPq3Rdp7IfL70393YgaASt7tbju3Ac+ePVi3KDH6N2RqePfHnXkaDtY9fkw==",
 			"cpu": [
 				"arm64"
 			],
@@ -293,9 +292,9 @@
 			}
 		},
 		"node_modules/@esbuild/darwin-x64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.25.8.tgz",
-			"integrity": "sha512-Vh2gLxxHnuoQ+GjPNvDSDRpoBCUzY4Pu0kBqMBDlK4fuWbKgGtmDIeEC081xi26PPjn+1tct+Bh8FjyLlw1Zlg==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.27.7.tgz",
+			"integrity": "sha512-rYnXrKcXuT7Z+WL5K980jVFdvVKhCHhUwid+dDYQpH+qu+TefcomiMAJpIiC2EM3Rjtq0sO3StMV/+3w3MyyqQ==",
 			"cpu": [
 				"x64"
 			],
@@ -310,9 +309,9 @@
 			}
 		},
 		"node_modules/@esbuild/freebsd-arm64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.25.8.tgz",
-			"integrity": "sha512-YPJ7hDQ9DnNe5vxOm6jaie9QsTwcKedPvizTVlqWG9GBSq+BuyWEDazlGaDTC5NGU4QJd666V0yqCBL2oWKPfA==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.27.7.tgz",
+			"integrity": "sha512-B48PqeCsEgOtzME2GbNM2roU29AMTuOIN91dsMO30t+Ydis3z/3Ngoj5hhnsOSSwNzS+6JppqWsuhTp6E82l2w==",
 			"cpu": [
 				"arm64"
 			],
@@ -327,9 +326,9 @@
 			}
 		},
 		"node_modules/@esbuild/freebsd-x64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.25.8.tgz",
-			"integrity": "sha512-MmaEXxQRdXNFsRN/KcIimLnSJrk2r5H8v+WVafRWz5xdSVmWLoITZQXcgehI2ZE6gioE6HirAEToM/RvFBeuhw==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.27.7.tgz",
+			"integrity": "sha512-jOBDK5XEjA4m5IJK3bpAQF9/Lelu/Z9ZcdhTRLf4cajlB+8VEhFFRjWgfy3M1O4rO2GQ/b2dLwCUGpiF/eATNQ==",
 			"cpu": [
 				"x64"
 			],
@@ -344,9 +343,9 @@
 			}
 		},
 		"node_modules/@esbuild/linux-arm": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.25.8.tgz",
-			"integrity": "sha512-FuzEP9BixzZohl1kLf76KEVOsxtIBFwCaLupVuk4eFVnOZfU+Wsn+x5Ryam7nILV2pkq2TqQM9EZPsOBuMC+kg==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.27.7.tgz",
+			"integrity": "sha512-RkT/YXYBTSULo3+af8Ib0ykH8u2MBh57o7q/DAs3lTJlyVQkgQvlrPTnjIzzRPQyavxtPtfg0EopvDyIt0j1rA==",
 			"cpu": [
 				"arm"
 			],
@@ -361,9 +360,9 @@
 			}
 		},
 		"node_modules/@esbuild/linux-arm64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.25.8.tgz",
-			"integrity": "sha512-WIgg00ARWv/uYLU7lsuDK00d/hHSfES5BzdWAdAig1ioV5kaFNrtK8EqGcUBJhYqotlUByUKz5Qo6u8tt7iD/w==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.27.7.tgz",
+			"integrity": "sha512-RZPHBoxXuNnPQO9rvjh5jdkRmVizktkT7TCDkDmQ0W2SwHInKCAV95GRuvdSvA7w4VMwfCjUiPwDi0ZO6Nfe9A==",
 			"cpu": [
 				"arm64"
 			],
@@ -378,9 +377,9 @@
 			}
 		},
 		"node_modules/@esbuild/linux-ia32": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.25.8.tgz",
-			"integrity": "sha512-A1D9YzRX1i+1AJZuFFUMP1E9fMaYY+GnSQil9Tlw05utlE86EKTUA7RjwHDkEitmLYiFsRd9HwKBPEftNdBfjg==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.27.7.tgz",
+			"integrity": "sha512-GA48aKNkyQDbd3KtkplYWT102C5sn/EZTY4XROkxONgruHPU72l+gW+FfF8tf2cFjeHaRbWpOYa/uRBz/Xq1Pg==",
 			"cpu": [
 				"ia32"
 			],
@@ -395,9 +394,9 @@
 			}
 		},
 		"node_modules/@esbuild/linux-loong64": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.25.8.tgz",
-			"integrity": "sha512-O7k1J/dwHkY1RMVvglFHl1HzutGEFFZ3kNiDMSOyUrB7WcoHGf96Sh+64nTRT26l3GMbCW01Ekh/ThKM5iI7hQ==",
+			"version": "0.27.7",
+			"resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.27.7.tgz",
+			"integrity": "sha512-a4POruNM2oWsD4WKvBSEKGIiWQF8fZOAsycHOt6JBpZ+JN2n2JH9WAv56SOyu9X5IqAjqSIPTaJkqN8F7XOQ5Q==",
 			"cpu": [
 				"loong64"
 			],
@@ -412,9 +411,9 @@
 			}
 		},
 		"node_modules/@esbuild/linux-mips64el": {
-			"version": "0.25.8",
-			"resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.25.8.tgz",
-			"integrity": "sha512-uv+dqfRazte3BzfMp8PAQXmdGHQt2oC/y2ovwpTteqrMx2lwaksiFZ/bdkXJC19ttTvNXBuWH53zy/aTj1FgGw==",
+			"version": "0.27.7",
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@@ -2883,6 +2936,12 @@
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-			"version": "2.0.2",
-			"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz",
-			"integrity": "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==",
+			"version": "2.0.3",
+			"resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.3.tgz",
+			"integrity": "sha512-MCV/fYJEbqx68aE58kv2cA/kiky1G8vux3OR6/jbS+jIMe/6fJWa0DTzJU7dqijOWYwHi1t29FlfYI9uytqlpA==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
@@ -9697,13 +9581,13 @@
 			}
 		},
 		"node_modules/test-exclude/node_modules/minimatch": {
-			"version": "9.0.5",
-			"resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz",
-			"integrity": "sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==",
+			"version": "9.0.9",
+			"resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.9.tgz",
+			"integrity": "sha512-OBwBN9AL4dqmETlpS2zasx+vTeWclWzkblfZk7KTA5j3jeOONz/tRCnZomUyvNg83wL5Zv9Ss6HMJXAgL8R2Yg==",
 			"dev": true,
 			"license": "ISC",
 			"dependencies": {
-				"brace-expansion": "^2.0.1"
+				"brace-expansion": "^2.0.2"
 			},
 			"engines": {
 				"node": ">=16 || 14 >=14.17"
@@ -10307,13 +10191,13 @@
 			}
 		},
 		"node_modules/vite": {
-			"version": "7.2.2",
-			"resolved": "https://registry.npmjs.org/vite/-/vite-7.2.2.tgz",
-			"integrity": "sha512-BxAKBWmIbrDgrokdGZH1IgkIk/5mMHDreLDmCJ0qpyJaAteP8NvMhkwr/ZCQNqNH97bw/dANTE9PDzqwJghfMQ==",
+			"version": "7.3.2",
+			"resolved": "https://registry.npmjs.org/vite/-/vite-7.3.2.tgz",
+			"integrity": "sha512-Bby3NOsna2jsjfLVOHKes8sGwgl4TT0E6vvpYgnAYDIF/tie7MRaFthmKuHx1NSXjiTueXH3do80FMQgvEktRg==",
 			"dev": true,
 			"license": "MIT",
 			"dependencies": {
-				"esbuild": "^0.25.0",
+				"esbuild": "^0.27.0",
 				"fdir": "^6.5.0",
 				"picomatch": "^4.0.3",
 				"postcss": "^8.5.6",
diff --git a/tools/server/webui/package.json b/tools/server/webui/package.json
index c417638ea..cb33b4845 100644
--- a/tools/server/webui/package.json
+++ b/tools/server/webui/package.json
@@ -1,5 +1,5 @@
 {
-	"name": "webui",
+	"name": "llama-server-webui",
 	"private": true,
 	"version": "1.0.0",
 	"type": "module",
diff --git a/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts b/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts
new file mode 100644
index 000000000..0330a1dda
--- /dev/null
+++ b/tools/server/webui/scripts/vite-plugin-llama-cpp-build.ts
@@ -0,0 +1,84 @@
+import { readFileSync, writeFileSync, existsSync, readdirSync, copyFileSync } from 'fs';
+import { resolve } from 'path';
+import type { Plugin } from 'vite';
+
+const GUIDE_FOR_FRONTEND = `
+<!--
+  This is a static build of the frontend.
+  It is automatically generated by the build process.
+  Do not edit this file directly.
+  To make changes, refer to the "Web UI" section in the README.
+-->
+`.trim();
+
+export function llamaCppBuildPlugin(): Plugin {
+	return {
+		name: 'llamacpp:build',
+		apply: 'build',
+		closeBundle() {
+			// Ensure the SvelteKit adapter has finished writing to ../public
+			setTimeout(() => {
+				try {
+					const indexPath = resolve('../public/index.html');
+					if (!existsSync(indexPath)) return;
+
+					let content = readFileSync(indexPath, 'utf-8');
+
+					const faviconPath = resolve('static/favicon.svg');
+
+					if (existsSync(faviconPath)) {
+						const faviconContent = readFileSync(faviconPath, 'utf-8');
+						const faviconBase64 = Buffer.from(faviconContent).toString('base64');
+						const faviconDataUrl = `data:image/svg+xml;base64,${faviconBase64}`;
+
+						content = content.replace(/href="[^"]*favicon\.svg"/g, `href="${faviconDataUrl}"`);
+
+						console.log('✓ Inlined favicon.svg as base64 data URL');
+					}
+
+					content = content.replace(/\r/g, '');
+					content = GUIDE_FOR_FRONTEND + '\n' + content;
+					content = content.replace(/\/_app\/immutable\/bundle\.[^"]+\.js/g, './bundle.js');
+					content = content.replace(
+						/\/_app\/immutable\/assets\/bundle\.[^"]+\.css/g,
+						'./bundle.css'
+					);
+					content = content.replace(/__sveltekit_[a-z0-9]+/g, '__sveltekit__');
+
+					writeFileSync(indexPath, content, 'utf-8');
+					console.log('✓ Updated index.html');
+
+					// Copy bundle.*.js -> ../public/bundle.js
+					const immutableDir = resolve('../public/_app/immutable');
+					const bundleDir = resolve('../public/_app/immutable/assets');
+
+					if (existsSync(immutableDir)) {
+						const jsFiles = readdirSync(immutableDir).filter((f) => f.match(/^bundle\..+\.js$/));
+
+						if (jsFiles.length > 0) {
+							copyFileSync(resolve(immutableDir, jsFiles[0]), resolve('../public/bundle.js'));
+							// Normalize __sveltekit_<hash> to __sveltekit__ in bundle.js
+							const bundleJsPath = resolve('../public/bundle.js');
+							let bundleJs = readFileSync(bundleJsPath, 'utf-8');
+							bundleJs = bundleJs.replace(/__sveltekit_[a-z0-9]+/g, '__sveltekit__');
+							writeFileSync(bundleJsPath, bundleJs, 'utf-8');
+							console.log(`✓ Copied ${jsFiles[0]} -> bundle.js`);
+						}
+					}
+
+					// Copy bundle.*.css -> ../public/bundle.css
+					if (existsSync(bundleDir)) {
+						const cssFiles = readdirSync(bundleDir).filter((f) => f.match(/^bundle\..+\.css$/));
+
+						if (cssFiles.length > 0) {
+							copyFileSync(resolve(bundleDir, cssFiles[0]), resolve('../public/bundle.css'));
+							console.log(`✓ Copied ${cssFiles[0]} -> bundle.css`);
+						}
+					}
+				} catch (error) {
+					console.error('Failed to update index.html:', error);
+				}
+			}, 100);
+		}
+	};
+}
diff --git a/tools/server/webui/src/app.css b/tools/server/webui/src/app.css
index 2f5c4138a..6e29b70a3 100644
--- a/tools/server/webui/src/app.css
+++ b/tools/server/webui/src/app.css
@@ -29,7 +29,7 @@
 	--chart-3: oklch(0.398 0.07 227.392);
 	--chart-4: oklch(0.828 0.189 84.429);
 	--chart-5: oklch(0.769 0.188 70.08);
-	--sidebar: oklch(0.987 0 0);
+	--sidebar: oklch(0.985 0 0);
 	--sidebar-foreground: oklch(0.145 0 0);
 	--sidebar-primary: oklch(0.205 0 0);
 	--sidebar-primary-foreground: oklch(0.985 0 0);
@@ -77,7 +77,7 @@
 	--chart-3: oklch(0.769 0.188 70.08);
 	--chart-4: oklch(0.627 0.265 303.9);
 	--chart-5: oklch(0.645 0.246 16.439);
-	--sidebar: oklch(0.19 0 0);
+	--sidebar: oklch(0.2 0 0);
 	--sidebar-foreground: oklch(0.985 0 0);
 	--sidebar-primary: oklch(0.488 0.243 264.376);
 	--sidebar-primary-foreground: oklch(0.985 0 0);
diff --git a/tools/server/webui/src/app.d.ts b/tools/server/webui/src/app.d.ts
index 73287d91b..f5af7323c 100644
--- a/tools/server/webui/src/app.d.ts
+++ b/tools/server/webui/src/app.d.ts
@@ -28,7 +28,6 @@ import type {
 	ApiRouterModelsUnloadResponse,
 	// Chat types
 	ChatAttachmentDisplayItem,
-	ChatAttachmentPreviewItem,
 	ChatMessageType,
 	ChatRole,
 	ChatUploadedFile,
@@ -92,7 +91,6 @@ declare global {
 		ApiRouterModelsUnloadResponse,
 		// Chat types
 		ChatAttachmentDisplayItem,
-		ChatAttachmentPreviewItem,
 		ChatMessagePromptProgress,
 		ChatMessageSiblingInfo,
 		ChatMessageTimings,
diff --git a/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts b/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts
index 5c726b7e4..d93044805 100644
--- a/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts
+++ b/tools/server/webui/src/lib/actions/fade-in-view.svelte.ts
@@ -1,3 +1,5 @@
+import { isElementInViewport } from '$lib/utils/viewport';
+
 /**
  * Svelte action that fades in an element when it enters the viewport.
  * Uses IntersectionObserver for efficient viewport detection.
@@ -12,17 +14,8 @@ export function fadeInView(
 ) {
 	const { duration = 300, y = 0, skipIfVisible = false } = options;
 
-	if (skipIfVisible) {
-		const rect = node.getBoundingClientRect();
-		const isAlreadyVisible =
-			rect.top < window.innerHeight &&
-			rect.bottom > 0 &&
-			rect.left < window.innerWidth &&
-			rect.right > 0;
-
-		if (isAlreadyVisible) {
-			return;
-		}
+	if (skipIfVisible && isElementInViewport(node)) {
+		return;
 	}
 
 	node.style.opacity = '0';
diff --git a/tools/server/webui/src/lib/components/app/SKILL.md b/tools/server/webui/src/lib/components/app/SKILL.md
new file mode 100644
index 000000000..7453954ab
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/SKILL.md
@@ -0,0 +1,11 @@
+---
+name: app
+description: Opinionated app components building on top of ./ui primitives
+---
+
+- Can include business logic and state management
+- Can include data fetching and caching logic
+- Should use original spelling for HTML-native events and `camelCase` for custom events
+- Props and markup attributes should be listed alphabetically
+- Use JS Objects and Arrays for CSS classes and styles when they are dynamic
+- Whenever there can be repetition in the component's markup, if it's too small to be decoupled as a separate component — use Svelte 5's `{#snippet}` + `{@render}`
diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
index 1d2dd3c1d..849b83b19 100644
--- a/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
+++ b/tools/server/webui/src/lib/components/app/actions/ActionIcon.svelte
@@ -1,18 +1,21 @@
 <script lang="ts">
-	import { Button } from '$lib/components/ui/button';
+	import { Button, type ButtonVariant, type ButtonSize } from '$lib/components/ui/button';
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import type { Component } from 'svelte';
+	import { TooltipSide } from '$lib/enums';
 
 	interface Props {
-		icon: Component;
-		tooltip: string;
-		variant?: 'default' | 'destructive' | 'outline' | 'secondary' | 'ghost' | 'link';
-		size?: 'default' | 'sm' | 'lg' | 'icon';
-		iconSize?: string;
+		ariaLabel?: string;
 		class?: string;
 		disabled?: boolean;
+		icon: Component;
+		iconSize?: string;
 		onclick: (e?: MouseEvent) => void;
-		'aria-label'?: string;
+		size?: ButtonSize;
+		stopPropagationOnClick?: boolean;
+		tooltip: string;
+		variant?: ButtonVariant;
+		tooltipSide?: TooltipSide;
 	}
 
 	let {
@@ -23,8 +26,10 @@
 		class: className = '',
 		disabled = false,
 		iconSize = 'h-3 w-3',
+		tooltipSide = TooltipSide.TOP,
+		stopPropagationOnClick = false,
 		onclick,
-		'aria-label': ariaLabel
+		ariaLabel
 	}: Props = $props();
 </script>
 
@@ -34,17 +39,22 @@
 			{variant}
 			{size}
 			{disabled}
-			{onclick}
-			class="h-6 w-6 p-0 {className} flex"
+			onclick={(e: MouseEvent) => {
+				if (stopPropagationOnClick) e.stopPropagation();
+
+				onclick?.(e);
+			}}
+			class="h-6 w-6 p-0 {className} flex hover:bg-transparent data-[state=open]:bg-transparent!"
 			aria-label={ariaLabel || tooltip}
 		>
-			{@const IconComponent = icon}
-
-			<IconComponent class={iconSize} />
+			{#if icon}
+				{@const IconComponent = icon}
+				<IconComponent class={iconSize} />
+			{/if}
 		</Button>
 	</Tooltip.Trigger>
 
-	<Tooltip.Content>
+	<Tooltip.Content side={tooltipSide}>
 		<p>{tooltip}</p>
 	</Tooltip.Content>
 </Tooltip.Root>
diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte
index bf6cd4fb2..999f0cba9 100644
--- a/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte
+++ b/tools/server/webui/src/lib/components/app/actions/ActionIconCopyToClipboard.svelte
@@ -1,18 +1,17 @@
 <script lang="ts">
 	import { Copy } from '@lucide/svelte';
 	import { copyToClipboard } from '$lib/utils';
+	import ActionIcon from './ActionIcon.svelte';
 
-	interface Props {
-		ariaLabel?: string;
-		canCopy?: boolean;
-		text: string;
-	}
-
-	let { ariaLabel = 'Copy to clipboard', canCopy = true, text }: Props = $props();
+	export let ariaLabel: string = 'Copy to clipboard';
+	export let canCopy: boolean = true;
+	export let text: string;
 </script>
 
-<Copy
-	class="h-3 w-3 flex-shrink-0 cursor-{canCopy ? 'pointer' : 'not-allowed'}"
-	aria-label={ariaLabel}
+<ActionIcon
+	icon={Copy}
+	tooltip={ariaLabel}
+	iconSize="h-4 w-4"
+	disabled={!canCopy}
 	onclick={() => canCopy && copyToClipboard(text)}
 />
diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte
deleted file mode 100644
index 11f1c17d9..000000000
--- a/tools/server/webui/src/lib/components/app/actions/ActionIconRemove.svelte
+++ /dev/null
@@ -1,27 +0,0 @@
-<script lang="ts">
-	import { X } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-
-	interface Props {
-		id: string;
-		onRemove?: (id: string) => void;
-		class?: string;
-		iconSize?: number;
-	}
-
-	let { id, onRemove, class: className = '', iconSize = 3 }: Props = $props();
-</script>
-
-<Button
-	type="button"
-	variant="ghost"
-	size="icon-sm"
-	class="bg-white/20 p-0 hover:bg-white/30 {className}"
-	onclick={(e: MouseEvent) => {
-		e.stopPropagation();
-		onRemove?.(id);
-	}}
-	aria-label="Remove file"
->
-	<X class="h-{iconSize} w-{iconSize}" />
-</Button>
diff --git a/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte b/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte
deleted file mode 100644
index b20e79b5e..000000000
--- a/tools/server/webui/src/lib/components/app/actions/ActionIconsCodeBlock.svelte
+++ /dev/null
@@ -1,46 +0,0 @@
-<script lang="ts">
-	import { Eye } from '@lucide/svelte';
-	import { ActionIconCopyToClipboard } from '$lib/components/app';
-	import { FileTypeText } from '$lib/enums';
-
-	interface Props {
-		code: string;
-		language: string;
-		disabled?: boolean;
-		onPreview?: (code: string, language: string) => void;
-	}
-
-	let { code, language, disabled = false, onPreview }: Props = $props();
-
-	const showPreview = $derived(language?.toLowerCase() === FileTypeText.HTML);
-
-	function handlePreview() {
-		if (disabled) return;
-		onPreview?.(code, language);
-	}
-</script>
-
-<div class="code-block-actions">
-	<div class="copy-code-btn" class:opacity-50={disabled} class:!cursor-not-allowed={disabled}>
-		<ActionIconCopyToClipboard
-			text={code}
-			canCopy={!disabled}
-			ariaLabel={disabled ? 'Code incomplete' : 'Copy code'}
-		/>
-	</div>
-
-	{#if showPreview}
-		<button
-			class="preview-code-btn"
-			class:opacity-50={disabled}
-			class:!cursor-not-allowed={disabled}
-			title={disabled ? 'Code incomplete' : 'Preview code'}
-			aria-label="Preview code"
-			aria-disabled={disabled}
-			type="button"
-			onclick={handlePreview}
-		>
-			<Eye size={16} />
-		</button>
-	{/if}
-</div>
diff --git a/tools/server/webui/src/lib/components/app/actions/index.ts b/tools/server/webui/src/lib/components/app/actions/index.ts
index 43485c7b7..4bb2a58d6 100644
--- a/tools/server/webui/src/lib/components/app/actions/index.ts
+++ b/tools/server/webui/src/lib/components/app/actions/index.ts
@@ -9,11 +9,5 @@
 /** Styled icon button for action triggers with tooltip. */
 export { default as ActionIcon } from './ActionIcon.svelte';
 
-/** Code block actions component (copy, preview). */
-export { default as ActionIconsCodeBlock } from './ActionIconsCodeBlock.svelte';
-
-/** Copy-to-clipboard icon button with click handler. */
+/** Copy-to-clipboard icon button with clipboard logic. */
 export { default as ActionIconCopyToClipboard } from './ActionIconCopyToClipboard.svelte';
-
-/** Remove/delete icon button with X icon. */
-export { default as ActionIconRemove } from './ActionIconRemove.svelte';
diff --git a/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte
index c70af6f42..25986082b 100644
--- a/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte
+++ b/tools/server/webui/src/lib/components/app/badges/BadgeInfo.svelte
@@ -1,5 +1,4 @@
 <script lang="ts">
-	import { cn } from '$lib/components/ui/utils';
 	import type { Snippet } from 'svelte';
 
 	interface Props {
@@ -13,10 +12,10 @@
 </script>
 
 <button
-	class={cn(
+	class={[
 		'inline-flex cursor-pointer items-center gap-1 rounded-sm bg-muted-foreground/15 px-1.5 py-0.75',
 		className
-	)}
+	]}
 	{onclick}
 >
 	{#if icon}
diff --git a/tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte b/tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte
deleted file mode 100644
index 15936691a..000000000
--- a/tools/server/webui/src/lib/components/app/badges/BadgeModality.svelte
+++ /dev/null
@@ -1,39 +0,0 @@
-<script lang="ts">
-	import { ModelModality } from '$lib/enums';
-	import { MODALITY_ICONS, MODALITY_LABELS } from '$lib/constants';
-	import { cn } from '$lib/components/ui/utils';
-
-	type DisplayableModality = ModelModality.VISION | ModelModality.AUDIO;
-
-	interface Props {
-		modalities: ModelModality[];
-		class?: string;
-	}
-
-	let { modalities, class: className = '' }: Props = $props();
-
-	// Filter to only modalities that have icons (VISION, AUDIO)
-	const displayableModalities = $derived(
-		modalities.filter(
-			(m): m is DisplayableModality => m === ModelModality.VISION || m === ModelModality.AUDIO
-		)
-	);
-</script>
-
-{#each displayableModalities as modality, index (index)}
-	{@const IconComponent = MODALITY_ICONS[modality]}
-	{@const label = MODALITY_LABELS[modality]}
-
-	<span
-		class={cn(
-			'inline-flex items-center gap-1 rounded-md bg-muted px-2 py-1 text-xs font-medium',
-			className
-		)}
-	>
-		{#if IconComponent}
-			<IconComponent class="h-3 w-3" />
-		{/if}
-
-		{label}
-	</span>
-{/each}
diff --git a/tools/server/webui/src/lib/components/app/badges/BadgesModality.svelte b/tools/server/webui/src/lib/components/app/badges/BadgesModality.svelte
new file mode 100644
index 000000000..841f1dd9f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/badges/BadgesModality.svelte
@@ -0,0 +1,32 @@
+<script lang="ts">
+	import { Eye, Mic } from '@lucide/svelte';
+	import { ModelModality } from '$lib/enums';
+
+	interface Props {
+		modalities: ModelModality[];
+		class?: string;
+	}
+
+	let { modalities, class: className = '' }: Props = $props();
+</script>
+
+{#each modalities as modality (modality)}
+	{#if modality === ModelModality.VISION || modality === ModelModality.AUDIO}
+		<span
+			class={[
+				'inline-flex items-center gap-1 rounded-md bg-muted px-2 py-1 text-xs font-medium',
+				className
+			]}
+		>
+			{#if modality === ModelModality.VISION}
+				<Eye class="h-3 w-3" />
+
+				Vision
+			{:else}
+				<Mic class="h-3 w-3" />
+
+				Audio
+			{/if}
+		</span>
+	{/if}
+{/each}
diff --git a/tools/server/webui/src/lib/components/app/badges/index.ts b/tools/server/webui/src/lib/components/app/badges/index.ts
index 860afe308..f8098056f 100644
--- a/tools/server/webui/src/lib/components/app/badges/index.ts
+++ b/tools/server/webui/src/lib/components/app/badges/index.ts
@@ -6,11 +6,8 @@
  *
  */
 
-/** Badge displaying chat statistics (tokens, timing). */
-export { default as BadgeChatStatistic } from './BadgeChatStatistic.svelte';
-
 /** Generic info badge with optional tooltip and click handler. */
 export { default as BadgeInfo } from './BadgeInfo.svelte';
 
 /** Badge indicating model modality (vision, audio, tools). */
-export { default as BadgeModality } from './BadgeModality.svelte';
+export { default as BadgesModality } from './BadgesModality.svelte';
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte
deleted file mode 100644
index f05bdd8a0..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentPreview.svelte
+++ /dev/null
@@ -1,284 +0,0 @@
-<script lang="ts">
-	import { Button } from '$lib/components/ui/button';
-	import * as Alert from '$lib/components/ui/alert';
-	import { SyntaxHighlightedCode } from '$lib/components/app';
-	import { FileText, Image, Music, FileIcon, Eye, Info } from '@lucide/svelte';
-	import {
-		isTextFile,
-		isImageFile,
-		isPdfFile,
-		isAudioFile,
-		getLanguageFromFilename,
-		createBase64DataUrl
-	} from '$lib/utils';
-	import { convertPDFToImage } from '$lib/utils/browser-only';
-	import { modelsStore } from '$lib/stores/models.svelte';
-
-	interface Props {
-		// Either an uploaded file or a stored attachment
-		uploadedFile?: ChatUploadedFile;
-		attachment?: DatabaseMessageExtra;
-		// For uploaded files
-		preview?: string;
-		name?: string;
-		textContent?: string;
-		// For checking vision modality
-		activeModelId?: string;
-	}
-
-	let { uploadedFile, attachment, preview, name, textContent, activeModelId }: Props = $props();
-
-	let hasVisionModality = $derived(
-		activeModelId ? modelsStore.modelSupportsVision(activeModelId) : false
-	);
-
-	let displayName = $derived(uploadedFile?.name || attachment?.name || name || 'Unknown File');
-
-	// Determine file type from uploaded file or attachment
-	let isAudio = $derived(isAudioFile(attachment, uploadedFile));
-	let isImage = $derived(isImageFile(attachment, uploadedFile));
-	let isPdf = $derived(isPdfFile(attachment, uploadedFile));
-	let isText = $derived(isTextFile(attachment, uploadedFile));
-
-	let displayPreview = $derived(
-		uploadedFile?.preview ||
-			(isImage && attachment && 'base64Url' in attachment ? attachment.base64Url : preview)
-	);
-
-	let displayTextContent = $derived(
-		uploadedFile?.textContent ||
-			(attachment && 'content' in attachment ? attachment.content : textContent)
-	);
-
-	let language = $derived(getLanguageFromFilename(displayName));
-
-	let IconComponent = $derived(() => {
-		if (isImage) return Image;
-		if (isText || isPdf) return FileText;
-		if (isAudio) return Music;
-
-		return FileIcon;
-	});
-
-	let pdfViewMode = $state<'text' | 'pages'>('pages');
-
-	let pdfImages = $state<string[]>([]);
-
-	let pdfImagesLoading = $state(false);
-
-	let pdfImagesError = $state<string | null>(null);
-
-	async function loadPdfImages() {
-		if (!isPdf || pdfImages.length > 0 || pdfImagesLoading) return;
-
-		pdfImagesLoading = true;
-		pdfImagesError = null;
-
-		try {
-			let file: File | null = null;
-
-			if (uploadedFile?.file) {
-				file = uploadedFile.file;
-			} else if (isPdf && attachment) {
-				// Check if we have pre-processed images
-				if (
-					'images' in attachment &&
-					attachment.images &&
-					Array.isArray(attachment.images) &&
-					attachment.images.length > 0
-				) {
-					pdfImages = attachment.images;
-					return;
-				}
-
-				// Convert base64 back to File for processing
-				if ('base64Data' in attachment && attachment.base64Data) {
-					const base64Data = attachment.base64Data;
-					const byteCharacters = atob(base64Data);
-					const byteNumbers = new Array(byteCharacters.length);
-					for (let i = 0; i < byteCharacters.length; i++) {
-						byteNumbers[i] = byteCharacters.charCodeAt(i);
-					}
-					const byteArray = new Uint8Array(byteNumbers);
-					file = new File([byteArray], displayName, { type: 'application/pdf' });
-				}
-			}
-
-			if (file) {
-				pdfImages = await convertPDFToImage(file);
-			} else {
-				throw new Error('No PDF file available for conversion');
-			}
-		} catch (error) {
-			pdfImagesError = error instanceof Error ? error.message : 'Failed to load PDF images';
-		} finally {
-			pdfImagesLoading = false;
-		}
-	}
-
-	export function reset() {
-		pdfImages = [];
-		pdfImagesLoading = false;
-		pdfImagesError = null;
-		pdfViewMode = 'pages';
-	}
-
-	$effect(() => {
-		if (isPdf && pdfViewMode === 'pages') {
-			loadPdfImages();
-		}
-	});
-</script>
-
-<div class="space-y-4">
-	<div class="flex items-center justify-end gap-6">
-		{#if isPdf}
-			<div class="flex items-center gap-2">
-				<Button
-					variant={pdfViewMode === 'text' ? 'default' : 'outline'}
-					size="sm"
-					onclick={() => (pdfViewMode = 'text')}
-					disabled={pdfImagesLoading}
-				>
-					<FileText class="mr-1 h-4 w-4" />
-
-					Text
-				</Button>
-
-				<Button
-					variant={pdfViewMode === 'pages' ? 'default' : 'outline'}
-					size="sm"
-					onclick={() => {
-						pdfViewMode = 'pages';
-						loadPdfImages();
-					}}
-					disabled={pdfImagesLoading}
-				>
-					{#if pdfImagesLoading}
-						<div
-							class="mr-1 h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent"
-						></div>
-					{:else}
-						<Eye class="mr-1 h-4 w-4" />
-					{/if}
-
-					Pages
-				</Button>
-			</div>
-		{/if}
-	</div>
-
-	<div class="flex-1 overflow-auto">
-		{#if isImage && displayPreview}
-			<div class="flex items-center justify-center">
-				<img
-					src={displayPreview}
-					alt={displayName}
-					class="max-h-full rounded-lg object-contain shadow-lg"
-				/>
-			</div>
-		{:else if isPdf && pdfViewMode === 'pages'}
-			{#if !hasVisionModality && activeModelId}
-				<Alert.Root class="mb-4">
-					<Info class="h-4 w-4" />
-					<Alert.Title>Preview only</Alert.Title>
-					<Alert.Description>
-						<span class="inline-flex">
-							The selected model does not support vision. Only the extracted
-							<!-- svelte-ignore a11y_click_events_have_key_events -->
-							<!-- svelte-ignore a11y_no_static_element_interactions -->
-							<span class="mx-1 cursor-pointer underline" onclick={() => (pdfViewMode = 'text')}>
-								text
-							</span>
-							will be sent to the model.
-						</span>
-					</Alert.Description>
-				</Alert.Root>
-			{/if}
-
-			{#if pdfImagesLoading}
-				<div class="flex items-center justify-center p-8">
-					<div class="text-center">
-						<div
-							class="mx-auto mb-4 h-8 w-8 animate-spin rounded-full border-4 border-primary border-t-transparent"
-						></div>
-
-						<p class="text-muted-foreground">Converting PDF to images...</p>
-					</div>
-				</div>
-			{:else if pdfImagesError}
-				<div class="flex items-center justify-center p-8">
-					<div class="text-center">
-						<FileText class="mx-auto mb-4 h-16 w-16 text-muted-foreground" />
-
-						<p class="mb-4 text-muted-foreground">Failed to load PDF images</p>
-
-						<p class="text-sm text-muted-foreground">{pdfImagesError}</p>
-
-						<Button class="mt-4" onclick={() => (pdfViewMode = 'text')}>View as Text</Button>
-					</div>
-				</div>
-			{:else if pdfImages.length > 0}
-				<div class="max-h-[70vh] space-y-4 overflow-auto">
-					{#each pdfImages as image, index (image)}
-						<div class="text-center">
-							<p class="mb-2 text-sm text-muted-foreground">Page {index + 1}</p>
-
-							<img
-								src={image}
-								alt="PDF Page {index + 1}"
-								class="mx-auto max-w-full rounded-lg shadow-lg"
-							/>
-						</div>
-					{/each}
-				</div>
-			{:else}
-				<div class="flex items-center justify-center p-8">
-					<div class="text-center">
-						<FileText class="mx-auto mb-4 h-16 w-16 text-muted-foreground" />
-
-						<p class="mb-4 text-muted-foreground">No PDF pages available</p>
-					</div>
-				</div>
-			{/if}
-		{:else if (isText || (isPdf && pdfViewMode === 'text')) && displayTextContent}
-			<SyntaxHighlightedCode code={displayTextContent} {language} maxWidth="calc(69rem - 2rem)" />
-		{:else if isAudio}
-			<div class="flex items-center justify-center p-8">
-				<div class="w-full max-w-md text-center">
-					<Music class="mx-auto mb-4 h-16 w-16 text-muted-foreground" />
-
-					{#if uploadedFile?.preview}
-						<audio controls class="mb-4 w-full" src={uploadedFile.preview}>
-							Your browser does not support the audio element.
-						</audio>
-					{:else if isAudio && attachment && 'mimeType' in attachment && 'base64Data' in attachment}
-						<audio
-							controls
-							class="mb-4 w-full"
-							src={createBase64DataUrl(attachment.mimeType, attachment.base64Data)}
-						>
-							Your browser does not support the audio element.
-						</audio>
-					{:else}
-						<p class="mb-4 text-muted-foreground">Audio preview not available</p>
-					{/if}
-
-					<p class="text-sm text-muted-foreground">
-						{displayName}
-					</p>
-				</div>
-			</div>
-		{:else}
-			<div class="flex items-center justify-center p-8">
-				<div class="text-center">
-					{#if IconComponent}
-						<IconComponent class="mx-auto mb-4 h-16 w-16 text-muted-foreground" />
-					{/if}
-
-					<p class="mb-4 text-muted-foreground">Preview not available for this file type</p>
-				</div>
-			</div>
-		{/if}
-	</div>
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte
deleted file mode 100644
index 9d32ea072..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailFile.svelte
+++ /dev/null
@@ -1,165 +0,0 @@
-<script lang="ts">
-	import { ActionIconRemove } from '$lib/components/app';
-	import { formatFileSize, getFileTypeLabel, getPreviewText, isTextFile } from '$lib/utils';
-	import { AttachmentType } from '$lib/enums';
-
-	interface Props {
-		class?: string;
-		id: string;
-		onClick?: (event?: MouseEvent) => void;
-		onRemove?: (id: string) => void;
-		name: string;
-		readonly?: boolean;
-		size?: number;
-		textContent?: string;
-		// Either uploaded file or stored attachment
-		uploadedFile?: ChatUploadedFile;
-		attachment?: DatabaseMessageExtra;
-	}
-
-	let {
-		class: className = '',
-		id,
-		onClick,
-		onRemove,
-		name,
-		readonly = false,
-		size,
-		textContent,
-		uploadedFile,
-		attachment
-	}: Props = $props();
-
-	let isText = $derived(isTextFile(attachment, uploadedFile));
-
-	let fileTypeLabel = $derived.by(() => {
-		if (uploadedFile?.type) {
-			return getFileTypeLabel(uploadedFile.type);
-		}
-
-		if (attachment) {
-			if ('mimeType' in attachment && attachment.mimeType) {
-				return getFileTypeLabel(attachment.mimeType);
-			}
-
-			if (attachment.type) {
-				return getFileTypeLabel(attachment.type);
-			}
-		}
-
-		return getFileTypeLabel(name);
-	});
-
-	let pdfProcessingMode = $derived.by(() => {
-		if (attachment?.type === AttachmentType.PDF) {
-			const pdfAttachment = attachment as DatabaseMessageExtraPdfFile;
-
-			return pdfAttachment.processedAsImages ? 'Sent as Image' : 'Sent as Text';
-		}
-		return null;
-	});
-</script>
-
-{#if isText}
-	{#if readonly}
-		<!-- Readonly mode (ChatMessage) -->
-		<button
-			class="cursor-pointer rounded-lg border border-border bg-muted p-3 transition-shadow hover:shadow-md {className} w-full max-w-2xl"
-			onclick={onClick}
-			aria-label={`Preview ${name}`}
-			type="button"
-		>
-			<div class="flex items-start gap-3">
-				<div class="flex min-w-0 flex-1 flex-col items-start text-left">
-					<span class="w-full truncate text-sm font-medium text-foreground">{name}</span>
-
-					{#if size}
-						<span class="text-xs text-muted-foreground">{formatFileSize(size)}</span>
-					{/if}
-
-					{#if textContent}
-						<div class="relative mt-2 w-full">
-							<div
-								class="overflow-hidden font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground"
-							>
-								{getPreviewText(textContent)}
-							</div>
-
-							{#if textContent.length > 150}
-								<div
-									class="pointer-events-none absolute right-0 bottom-0 left-0 h-6 bg-gradient-to-t from-muted to-transparent"
-								></div>
-							{/if}
-						</div>
-					{/if}
-				</div>
-			</div>
-		</button>
-	{:else}
-		<!-- Non-readonly mode (ChatForm) -->
-		<button
-			class="group relative rounded-lg border border-border bg-muted p-3 {className} {textContent
-				? 'max-h-24 max-w-72'
-				: 'max-w-36'} cursor-pointer text-left"
-			onclick={onClick}
-		>
-			<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100">
-				<ActionIconRemove {id} {onRemove} />
-			</div>
-
-			<div class="pr-8">
-				<span class="mb-3 block truncate text-sm font-medium text-foreground">{name}</span>
-
-				{#if textContent}
-					<div class="relative">
-						<div
-							class="overflow-hidden font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground"
-							style="max-height: 3rem; line-height: 1.2em;"
-						>
-							{getPreviewText(textContent)}
-						</div>
-
-						{#if textContent.length > 150}
-							<div
-								class="pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent"
-							></div>
-						{/if}
-					</div>
-				{/if}
-			</div>
-		</button>
-	{/if}
-{:else}
-	<button
-		class="group flex items-center gap-3 rounded-lg border border-border bg-muted p-3 {className} relative"
-		onclick={onClick}
-	>
-		<div
-			class="flex h-8 w-8 items-center justify-center rounded bg-primary/10 text-xs font-medium text-primary"
-		>
-			{fileTypeLabel}
-		</div>
-
-		<div class="flex flex-col gap-0.5">
-			<span
-				class="max-w-24 truncate text-sm font-medium text-foreground {readonly
-					? ''
-					: 'group-hover:pr-6'} md:max-w-32"
-			>
-				{name}
-			</span>
-
-			{#if pdfProcessingMode}
-				<span class="text-left text-xs text-muted-foreground">{pdfProcessingMode}</span>
-			{:else if size}
-				<span class="text-left text-xs text-muted-foreground">{formatFileSize(size)}</span>
-			{/if}
-		</div>
-
-		{#if !readonly}
-			<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100">
-				<ActionIconRemove {id} {onRemove} />
-			</div>
-		{/if}
-	</button>
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte
deleted file mode 100644
index a3d37b42a..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList.svelte
+++ /dev/null
@@ -1,287 +0,0 @@
-<script lang="ts">
-	import {
-		ChatAttachmentMcpPrompt,
-		ChatAttachmentMcpResource,
-		ChatAttachmentThumbnailImage,
-		ChatAttachmentThumbnailFile,
-		HorizontalScrollCarousel,
-		DialogChatAttachmentPreview,
-		DialogChatAttachmentsViewAll,
-		DialogMcpResourcePreview
-	} from '$lib/components/app';
-	import { Button } from '$lib/components/ui/button';
-	import { AttachmentType } from '$lib/enums';
-	import type {
-		DatabaseMessageExtraMcpPrompt,
-		DatabaseMessageExtraMcpResource,
-		MCPResourceAttachment
-	} from '$lib/types';
-	import { getAttachmentDisplayItems } from '$lib/utils';
-
-	interface Props {
-		class?: string;
-		style?: string;
-		// For ChatMessage - stored attachments
-		attachments?: DatabaseMessageExtra[];
-		readonly?: boolean;
-		// For ChatForm - pending uploads
-		onFileRemove?: (fileId: string) => void;
-		uploadedFiles?: ChatUploadedFile[];
-		// Image size customization
-		imageClass?: string;
-		imageHeight?: string;
-		imageWidth?: string;
-		// Limit display to single row with "+ X more" button
-		limitToSingleRow?: boolean;
-		// For vision modality check
-		activeModelId?: string;
-	}
-
-	let {
-		class: className = '',
-		style = '',
-		attachments = [],
-		readonly = false,
-		onFileRemove,
-		uploadedFiles = $bindable([]),
-		// Default to small size for form previews
-		imageClass = '',
-		imageHeight = 'h-24',
-		imageWidth = 'w-auto',
-		limitToSingleRow = false,
-		activeModelId
-	}: Props = $props();
-
-	let displayItems = $derived(getAttachmentDisplayItems({ uploadedFiles, attachments }));
-
-	let carouselRef: HorizontalScrollCarousel | undefined = $state();
-	let isScrollable = $state(false);
-	let previewDialogOpen = $state(false);
-	let previewItem = $state<ChatAttachmentPreviewItem | null>(null);
-	let mcpResourcePreviewOpen = $state(false);
-	let mcpResourcePreviewExtra = $state<DatabaseMessageExtraMcpResource | null>(null);
-	let showViewAll = $derived(limitToSingleRow && displayItems.length > 0 && isScrollable);
-	let viewAllDialogOpen = $state(false);
-
-	function openPreview(item: ChatAttachmentDisplayItem, event?: MouseEvent) {
-		event?.stopPropagation();
-		event?.preventDefault();
-
-		previewItem = {
-			uploadedFile: item.uploadedFile,
-			attachment: item.attachment,
-			preview: item.preview,
-			name: item.name,
-			size: item.size,
-			textContent: item.textContent
-		};
-		previewDialogOpen = true;
-	}
-
-	function openMcpResourcePreview(extra: DatabaseMessageExtraMcpResource) {
-		mcpResourcePreviewExtra = extra;
-		mcpResourcePreviewOpen = true;
-	}
-
-	function toMcpResourceAttachment(
-		extra: DatabaseMessageExtraMcpResource,
-		id: string
-	): MCPResourceAttachment {
-		return {
-			id,
-			resource: {
-				uri: extra.uri,
-				name: extra.name,
-				title: extra.name,
-				serverName: extra.serverName
-			}
-		};
-	}
-
-	$effect(() => {
-		if (carouselRef && displayItems.length) {
-			carouselRef.resetScroll();
-		}
-	});
-</script>
-
-{#if displayItems.length > 0}
-	<div class={className} {style}>
-		{#if limitToSingleRow}
-			<HorizontalScrollCarousel
-				bind:this={carouselRef}
-				onScrollableChange={(scrollable) => (isScrollable = scrollable)}
-			>
-				{#each displayItems as item (item.id)}
-					{#if item.isMcpPrompt}
-						{@const mcpPrompt =
-							item.attachment?.type === AttachmentType.MCP_PROMPT
-								? (item.attachment as DatabaseMessageExtraMcpPrompt)
-								: item.uploadedFile?.mcpPrompt
-									? {
-											type: AttachmentType.MCP_PROMPT as const,
-											name: item.name,
-											serverName: item.uploadedFile.mcpPrompt.serverName,
-											promptName: item.uploadedFile.mcpPrompt.promptName,
-											content: item.textContent ?? '',
-											arguments: item.uploadedFile.mcpPrompt.arguments
-										}
-									: null}
-						{#if mcpPrompt}
-							<ChatAttachmentMcpPrompt
-								class="max-w-[300px] min-w-[200px] flex-shrink-0 {limitToSingleRow
-									? 'first:ml-4 last:mr-4'
-									: ''}"
-								prompt={mcpPrompt}
-								{readonly}
-								isLoading={item.isLoading}
-								loadError={item.loadError}
-								onRemove={onFileRemove ? () => onFileRemove(item.id) : undefined}
-							/>
-						{/if}
-					{:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE}
-						{@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource}
-
-						<ChatAttachmentMcpResource
-							class="flex-shrink-0 {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
-							attachment={toMcpResourceAttachment(mcpResource, item.id)}
-							onClick={() => openMcpResourcePreview(mcpResource)}
-						/>
-					{:else if item.isImage && item.preview}
-						<ChatAttachmentThumbnailImage
-							class="flex-shrink-0 cursor-pointer {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
-							id={item.id}
-							name={item.name}
-							preview={item.preview}
-							{readonly}
-							onRemove={onFileRemove}
-							height={imageHeight}
-							width={imageWidth}
-							{imageClass}
-							onClick={(event) => openPreview(item, event)}
-						/>
-					{:else}
-						<ChatAttachmentThumbnailFile
-							class="flex-shrink-0 cursor-pointer {limitToSingleRow ? 'first:ml-4 last:mr-4' : ''}"
-							id={item.id}
-							name={item.name}
-							size={item.size}
-							{readonly}
-							onRemove={onFileRemove}
-							textContent={item.textContent}
-							attachment={item.attachment}
-							uploadedFile={item.uploadedFile}
-							onClick={(event) => openPreview(item, event)}
-						/>
-					{/if}
-				{/each}
-			</HorizontalScrollCarousel>
-
-			{#if showViewAll}
-				<div class="mt-2 -mr-2 flex justify-end px-4">
-					<Button
-						type="button"
-						variant="ghost"
-						size="sm"
-						class="h-6 text-xs text-muted-foreground hover:text-foreground"
-						onclick={() => (viewAllDialogOpen = true)}
-					>
-						View all ({displayItems.length})
-					</Button>
-				</div>
-			{/if}
-		{:else}
-			<div class="flex flex-wrap items-start justify-end gap-3">
-				{#each displayItems as item (item.id)}
-					{#if item.isMcpPrompt}
-						{@const mcpPrompt =
-							item.attachment?.type === AttachmentType.MCP_PROMPT
-								? (item.attachment as DatabaseMessageExtraMcpPrompt)
-								: item.uploadedFile?.mcpPrompt
-									? {
-											type: AttachmentType.MCP_PROMPT as const,
-											name: item.name,
-											serverName: item.uploadedFile.mcpPrompt.serverName,
-											promptName: item.uploadedFile.mcpPrompt.promptName,
-											content: item.textContent ?? '',
-											arguments: item.uploadedFile.mcpPrompt.arguments
-										}
-									: null}
-
-						{#if mcpPrompt}
-							<ChatAttachmentMcpPrompt
-								class="max-w-[300px] min-w-[200px]"
-								prompt={mcpPrompt}
-								{readonly}
-								isLoading={item.isLoading}
-								loadError={item.loadError}
-								onRemove={onFileRemove ? () => onFileRemove(item.id) : undefined}
-							/>
-						{/if}
-					{:else if item.isMcpResource && item.attachment?.type === AttachmentType.MCP_RESOURCE}
-						{@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource}
-
-						<ChatAttachmentMcpResource
-							attachment={toMcpResourceAttachment(mcpResource, item.id)}
-							onClick={() => openMcpResourcePreview(mcpResource)}
-						/>
-					{:else if item.isImage && item.preview}
-						<ChatAttachmentThumbnailImage
-							class="cursor-pointer"
-							id={item.id}
-							name={item.name}
-							preview={item.preview}
-							{readonly}
-							onRemove={onFileRemove}
-							height={imageHeight}
-							width={imageWidth}
-							{imageClass}
-							onClick={(event) => openPreview(item, event)}
-						/>
-					{:else}
-						<ChatAttachmentThumbnailFile
-							class="cursor-pointer"
-							id={item.id}
-							name={item.name}
-							size={item.size}
-							{readonly}
-							onRemove={onFileRemove}
-							textContent={item.textContent}
-							attachment={item.attachment}
-							uploadedFile={item.uploadedFile}
-							onClick={(event?: MouseEvent) => openPreview(item, event)}
-						/>
-					{/if}
-				{/each}
-			</div>
-		{/if}
-	</div>
-{/if}
-
-{#if previewItem}
-	<DialogChatAttachmentPreview
-		bind:open={previewDialogOpen}
-		uploadedFile={previewItem.uploadedFile}
-		attachment={previewItem.attachment}
-		preview={previewItem.preview}
-		name={previewItem.name}
-		size={previewItem.size}
-		textContent={previewItem.textContent}
-		{activeModelId}
-	/>
-{/if}
-
-<DialogChatAttachmentsViewAll
-	bind:open={viewAllDialogOpen}
-	{uploadedFiles}
-	{attachments}
-	{readonly}
-	{onFileRemove}
-	imageHeight="h-64"
-	{imageClass}
-	{activeModelId}
-/>
-
-{#if mcpResourcePreviewExtra}
-	<DialogMcpResourcePreview bind:open={mcpResourcePreviewOpen} extra={mcpResourcePreviewExtra} />
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte
new file mode 100644
index 000000000..e74bd8456
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte
@@ -0,0 +1,119 @@
+<script lang="ts">
+	import {
+		ChatAttachmentsListItem,
+		DialogChatAttachmentsPreview,
+		DialogMcpResourcePreview,
+		HorizontalScrollCarousel
+	} from '$lib/components/app';
+	import type { DatabaseMessageExtraMcpResource } from '$lib/types';
+	import { getAttachmentDisplayItems, isMcpPrompt, isMcpResource } from '$lib/utils';
+
+	interface Props {
+		class?: string;
+		style?: string;
+		// For ChatMessage - stored attachments
+		attachments?: DatabaseMessageExtra[];
+		readonly?: boolean;
+		// For ChatForm - pending uploads
+		onFileRemove?: (fileId: string) => void;
+		uploadedFiles?: ChatUploadedFile[];
+		// Image size customization
+		imageClass?: string;
+		imageHeight?: string;
+		imageWidth?: string;
+		// Limit display to single row with "+ X more" button
+		limitToSingleRow?: boolean;
+		// For vision modality check
+		activeModelId?: string;
+	}
+
+	let {
+		class: className = '',
+		style = '',
+		attachments = [],
+		readonly = false,
+		onFileRemove,
+		uploadedFiles = $bindable([]),
+		// Default to small size for form previews
+		imageClass = '',
+		imageHeight = 'h-24',
+		imageWidth = 'w-auto',
+		limitToSingleRow = false,
+		activeModelId
+	}: Props = $props();
+
+	let carouselRef: HorizontalScrollCarousel | undefined = $state();
+	let mcpResourcePreviewOpen = $state(false);
+	let mcpResourcePreviewExtra = $state<DatabaseMessageExtraMcpResource | null>(null);
+	let previewFocusIndex = $state(0);
+	let viewAllDialogOpen = $state(false);
+
+	let displayItems = $derived(getAttachmentDisplayItems({ uploadedFiles, attachments }));
+
+	function openPreview(item: ChatAttachmentDisplayItem, event?: MouseEvent) {
+		event?.stopPropagation();
+		event?.preventDefault();
+
+		// Find the index of the clicked item among non-MCP attachments
+		const nonMcpItems = displayItems.filter((i) => !isMcpPrompt(i) && !isMcpResource(i));
+		const index = nonMcpItems.findIndex((i) => i.id === item.id);
+
+		previewFocusIndex = index >= 0 ? index : 0;
+		viewAllDialogOpen = true;
+	}
+
+	function openMcpResourcePreview(extra: DatabaseMessageExtraMcpResource) {
+		mcpResourcePreviewExtra = extra;
+		mcpResourcePreviewOpen = true;
+	}
+
+	$effect(() => {
+		if (carouselRef && displayItems.length) {
+			carouselRef.resetScroll();
+		}
+	});
+</script>
+
+{#snippet attachmentitem(item: ChatAttachmentDisplayItem)}
+	<ChatAttachmentsListItem
+		{imageClass}
+		{imageHeight}
+		{imageWidth}
+		{item}
+		{limitToSingleRow}
+		{onFileRemove}
+		onMcpResourcePreview={openMcpResourcePreview}
+		onPreview={(i: ChatAttachmentDisplayItem, event?: MouseEvent) => openPreview(i, event)}
+		{readonly}
+	/>
+{/snippet}
+
+{#if displayItems.length > 0}
+	<div class={className} {style}>
+		{#if limitToSingleRow}
+			<HorizontalScrollCarousel bind:this={carouselRef}>
+				{#each displayItems as item (item.id)}
+					{@render attachmentitem(item)}
+				{/each}
+			</HorizontalScrollCarousel>
+		{:else}
+			<div class="flex flex-wrap items-start justify-end gap-3">
+				{#each displayItems as item (item.id)}
+					{@render attachmentitem(item)}
+				{/each}
+			</div>
+		{/if}
+	</div>
+{/if}
+
+<DialogChatAttachmentsPreview
+	{activeModelId}
+	{attachments}
+	bind:open={viewAllDialogOpen}
+	{previewFocusIndex}
+	{uploadedFiles}
+/>
+
+{#if mcpResourcePreviewExtra}
+	<DialogMcpResourcePreview extra={mcpResourcePreviewExtra} bind:open={mcpResourcePreviewOpen} />
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte
new file mode 100644
index 000000000..143621cd9
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte
@@ -0,0 +1,132 @@
+<script lang="ts">
+	import {
+		ChatAttachmentsListItemMcpPrompt,
+		ChatAttachmentsListItemMcpResource,
+		ChatAttachmentsListItemThumbnailImage,
+		ChatAttachmentsListItemThumbnailFile
+	} from '$lib/components/app';
+	import { AttachmentType } from '$lib/enums';
+	import type {
+		ChatAttachmentDisplayItem,
+		DatabaseMessageExtraMcpPrompt,
+		DatabaseMessageExtraMcpResource,
+		MCPResourceAttachment
+	} from '$lib/types';
+	import { isMcpPrompt, isMcpResource, isPdfFile } from '$lib/utils';
+
+	interface Props {
+		class?: string;
+		imageClass?: string;
+		imageHeight?: string;
+		imageWidth?: string;
+		item: ChatAttachmentDisplayItem;
+		limitToSingleRow?: boolean;
+		onFileRemove?: (fileId: string) => void;
+		onMcpResourcePreview?: (extra: DatabaseMessageExtraMcpResource) => void;
+		onPreview?: (item: ChatAttachmentDisplayItem) => void;
+		readonly?: boolean;
+	}
+
+	let {
+		class: className = '',
+		imageClass = '',
+		imageHeight = 'h-24',
+		imageWidth = 'w-auto',
+		item,
+		limitToSingleRow = false,
+		onFileRemove,
+		onMcpResourcePreview,
+		onPreview,
+		readonly = false
+	}: Props = $props();
+
+	const scrollClasses = $derived(limitToSingleRow ? 'first:ml-4 last:mr-4' : '');
+
+	function toMcpResourceAttachment(
+		extra: DatabaseMessageExtraMcpResource,
+		id: string
+	): MCPResourceAttachment {
+		return {
+			id,
+			resource: {
+				uri: extra.uri,
+				name: extra.name,
+				title: extra.name,
+				serverName: extra.serverName
+			}
+		};
+	}
+</script>
+
+{#if isMcpPrompt(item)}
+	{@const mcpPrompt =
+		item.attachment?.type === AttachmentType.MCP_PROMPT
+			? (item.attachment as DatabaseMessageExtraMcpPrompt)
+			: item.uploadedFile?.mcpPrompt
+				? {
+						type: AttachmentType.MCP_PROMPT as const,
+						name: item.name,
+						serverName: item.uploadedFile.mcpPrompt.serverName,
+						promptName: item.uploadedFile.mcpPrompt.promptName,
+						content: item.textContent ?? '',
+						arguments: item.uploadedFile.mcpPrompt.arguments
+					}
+				: null}
+	{#if mcpPrompt}
+		<ChatAttachmentsListItemMcpPrompt
+			class="max-w-[300px] min-w-[200px] flex-shrink-0 {className} {scrollClasses}"
+			prompt={mcpPrompt}
+			{readonly}
+			isLoading={item.isLoading}
+			loadError={item.loadError}
+			onRemove={onFileRemove ? () => onFileRemove(item.id) : undefined}
+		/>
+	{/if}
+{:else if isMcpResource(item)}
+	{@const mcpResource = item.attachment as DatabaseMessageExtraMcpResource}
+
+	<ChatAttachmentsListItemMcpResource
+		class="flex-shrink-0 {className} {scrollClasses}"
+		attachment={toMcpResourceAttachment(mcpResource, item.id)}
+		onclick={() => onMcpResourcePreview?.(mcpResource)}
+	/>
+{:else if item.isImage && item.preview}
+	<ChatAttachmentsListItemThumbnailImage
+		class="flex-shrink-0 cursor-pointer {className} {scrollClasses}"
+		id={item.id}
+		name={item.name}
+		preview={item.preview}
+		{readonly}
+		onRemove={onFileRemove}
+		height={imageHeight}
+		width={imageWidth}
+		{imageClass}
+		onclick={() => onPreview?.(item)}
+	/>
+{:else if isPdfFile(item.attachment, item.uploadedFile)}
+	<ChatAttachmentsListItemThumbnailFile
+		class="flex-shrink-0 cursor-pointer {className} {scrollClasses}"
+		id={item.id}
+		name={item.name}
+		size={item.size}
+		{readonly}
+		onRemove={onFileRemove}
+		textContent={item.textContent}
+		attachment={item.attachment}
+		uploadedFile={item.uploadedFile}
+		onclick={() => onPreview?.(item)}
+	/>
+{:else}
+	<ChatAttachmentsListItemThumbnailFile
+		class="flex-shrink-0 cursor-pointer {className} {scrollClasses}"
+		id={item.id}
+		name={item.name}
+		size={item.size}
+		{readonly}
+		onRemove={onFileRemove}
+		textContent={item.textContent}
+		attachment={item.attachment}
+		uploadedFile={item.uploadedFile}
+		onclick={() => onPreview?.(item)}
+	/>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte
similarity index 75%
rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte
index 5fba2b3d1..636e93f22 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpPrompt.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte
@@ -1,40 +1,41 @@
 <script lang="ts">
-	import { ChatMessageMcpPromptContent, ActionIconRemove } from '$lib/components/app';
+	import { ChatMessageMcpPromptContent, ActionIcon } from '$lib/components/app';
+	import { X } from '@lucide/svelte';
 	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
 	import { McpPromptVariant } from '$lib/enums';
 
 	interface Props {
 		class?: string;
-		prompt: DatabaseMessageExtraMcpPrompt;
-		readonly?: boolean;
 		isLoading?: boolean;
 		loadError?: string;
 		onRemove?: () => void;
+		prompt: DatabaseMessageExtraMcpPrompt;
+		readonly?: boolean;
 	}
 
 	let {
 		class: className = '',
-		prompt,
-		readonly = false,
 		isLoading = false,
 		loadError,
-		onRemove
+		onRemove,
+		prompt,
+		readonly = false
 	}: Props = $props();
 </script>
 
 <div class="group relative {className}">
 	<ChatMessageMcpPromptContent
-		{prompt}
-		variant={McpPromptVariant.ATTACHMENT}
 		{isLoading}
 		{loadError}
+		{prompt}
+		variant={McpPromptVariant.ATTACHMENT}
 	/>
 
 	{#if !readonly && onRemove}
 		<div
 			class="absolute top-10 right-2 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"
 		>
-			<ActionIconRemove id={prompt.name} onRemove={() => onRemove?.()} />
+			<ActionIcon icon={X} tooltip="Remove" stopPropagationOnClick onclick={() => onRemove?.()} />
 		</div>
 	{/if}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte
similarity index 81%
rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte
index 258fcac80..6e1f639fa 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResource.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte
@@ -1,46 +1,47 @@
 <script lang="ts">
 	import { Loader2, AlertCircle } from '@lucide/svelte';
-	import { cn } from '$lib/components/ui/utils';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import type { MCPResourceAttachment } from '$lib/types';
 	import * as Tooltip from '$lib/components/ui/tooltip';
-	import { ActionIconRemove } from '$lib/components/app';
+	import { ActionIcon } from '$lib/components/app';
+	import { X } from '@lucide/svelte';
 	import { getResourceIcon, getResourceDisplayName } from '$lib/utils';
 
 	interface Props {
 		attachment: MCPResourceAttachment;
-		onRemove?: (attachmentId: string) => void;
-		onClick?: () => void;
 		class?: string;
+		onclick?: () => void;
+		onRemove?: (attachmentId: string) => void;
 	}
 
-	let { attachment, onRemove, onClick, class: className }: Props = $props();
-
-	function getStatusClass(attachment: MCPResourceAttachment): string {
-		if (attachment.error) return 'border-red-500/50 bg-red-500/10';
-		if (attachment.loading) return 'border-border/50 bg-muted/30';
-		return 'border-border/50 bg-muted/30';
-	}
+	let { attachment, class: className, onclick, onRemove }: Props = $props();
 
 	const ResourceIcon = $derived(
 		getResourceIcon(attachment.resource.mimeType, attachment.resource.uri)
 	);
 	const serverName = $derived(mcpStore.getServerDisplayName(attachment.resource.serverName));
 	const favicon = $derived(mcpStore.getServerFavicon(attachment.resource.serverName));
+
+	function getStatusClass(attachment: MCPResourceAttachment): string {
+		if (attachment.error) return 'border-red-500/50 bg-red-500/10';
+		if (attachment.loading) return 'border-border/50 bg-muted/30';
+
+		return 'border-border/50 bg-muted/30';
+	}
 </script>
 
 <Tooltip.Root>
 	<Tooltip.Trigger>
 		<button
-			type="button"
-			class={cn(
+			class={[
 				'flex flex-shrink-0 items-center gap-1.5 rounded-md border px-2 py-0.75 text-sm transition-colors',
 				getStatusClass(attachment),
-				onClick && 'cursor-pointer hover:bg-muted/50',
+				onclick && 'cursor-pointer hover:bg-muted/50',
 				className
-			)}
-			onclick={onClick}
-			disabled={!onClick}
+			]}
+			disabled={!onclick}
+			{onclick}
+			type="button"
 		>
 			{#if attachment.loading}
 				<Loader2 class="h-3 w-3 animate-spin text-muted-foreground" />
@@ -55,11 +56,13 @@
 			</span>
 
 			{#if onRemove}
-				<ActionIconRemove
+				<ActionIcon
 					class="-my-2 -mr-1.5 bg-transparent"
-					iconSize={2}
-					id={attachment.id}
-					{onRemove}
+					icon={X}
+					iconSize="h-2 w-2"
+					onclick={() => onRemove?.(attachment.id)}
+					stopPropagationOnClick
+					tooltip="Remove"
 				/>
 			{/if}
 		</button>
@@ -69,12 +72,12 @@
 		<div class="flex items-center gap-1 text-xs">
 			{#if favicon}
 				<img
-					src={favicon}
-					alt=""
+					alt={attachment.resource.serverName}
 					class="h-3 w-3 shrink-0 rounded-sm"
 					onerror={(e) => {
 						(e.currentTarget as HTMLImageElement).style.display = 'none';
 					}}
+					src={favicon}
 				/>
 			{/if}
 
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte
new file mode 100644
index 000000000..3eeace42f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte
@@ -0,0 +1,174 @@
+<script lang="ts">
+	import { X } from '@lucide/svelte';
+	import {
+		formatFileSize,
+		getFileTypeLabel,
+		getPreviewText,
+		isPdfFile,
+		isTextFile
+	} from '$lib/utils';
+	import { ActionIcon } from '$lib/components/app';
+	import { AttachmentType } from '$lib/enums';
+
+	interface Props {
+		attachment?: DatabaseMessageExtra;
+		class?: string;
+		id: string;
+		onclick?: (event: MouseEvent) => void;
+		onRemove?: (id: string) => void;
+		name: string;
+		readonly?: boolean;
+		size?: number;
+		textContent?: string;
+		// Either uploaded file or stored attachment
+		uploadedFile?: ChatUploadedFile;
+	}
+
+	let {
+		attachment,
+		class: className = '',
+		id,
+		onclick,
+		onRemove,
+		name,
+		readonly = false,
+		size,
+		textContent,
+		uploadedFile
+	}: Props = $props();
+
+	let isPdf = $derived(isPdfFile(attachment, uploadedFile));
+	let isPdfWithContent = $derived(isPdf && !!textContent);
+
+	let isText = $derived(isTextFile(attachment, uploadedFile));
+	let isTextWithContent = $derived(isText && !!textContent);
+
+	let fileTypeLabel = $derived.by(() => {
+		if (uploadedFile?.type) {
+			return getFileTypeLabel(uploadedFile.type);
+		}
+
+		if (attachment) {
+			if ('mimeType' in attachment && attachment.mimeType) {
+				return getFileTypeLabel(attachment.mimeType);
+			}
+
+			if (attachment.type) {
+				return getFileTypeLabel(attachment.type);
+			}
+		}
+
+		return getFileTypeLabel(name);
+	});
+
+	let pdfProcessingMode = $derived.by(() => {
+		if (attachment?.type === AttachmentType.PDF) {
+			const pdfAttachment = attachment as DatabaseMessageExtraPdfFile;
+
+			return pdfAttachment.processedAsImages ? 'Sent as Image' : 'Sent as Text';
+		}
+
+		return null;
+	});
+</script>
+
+{#snippet textPreview(content: string)}
+	<div class="relative">
+		<div
+			class="font-mono text-xs leading-relaxed break-words whitespace-pre-wrap text-muted-foreground {!readonly
+				? 'max-h-3rem line-height-1.2'
+				: ''}"
+		>
+			{getPreviewText(content)}
+		</div>
+
+		{#if content.length > 150}
+			<div
+				class="pointer-events-none absolute right-0 bottom-0 left-0 h-4 bg-gradient-to-t from-muted to-transparent {readonly
+					? 'h-6'
+					: ''}"
+			></div>
+		{/if}
+	</div>
+{/snippet}
+
+{#snippet removeButton()}
+	<div class="absolute top-2 right-2 opacity-0 transition-opacity group-hover:opacity-100">
+		<ActionIcon icon={X} tooltip="Remove" stopPropagationOnClick onclick={() => onRemove?.(id)} />
+	</div>
+{/snippet}
+
+{#snippet fileIcon()}
+	<div
+		class="flex h-8 w-8 items-center justify-center rounded bg-primary/10 text-xs font-medium text-primary"
+	>
+		{fileTypeLabel}
+	</div>
+{/snippet}
+
+{#snippet info(text: string | undefined)}
+	{#if text}
+		<span class="text-xs text-muted-foreground">{text}</span>
+	{/if}
+{/snippet}
+
+{#if isTextWithContent || isPdfWithContent}
+	<button
+		aria-label={readonly ? `Preview ${name}` : undefined}
+		class="rounded-lg border border-border bg-muted p-3 {className} cursor-pointer {readonly
+			? 'w-full max-w-2xl transition-shadow hover:shadow-md'
+			: `group relative text-left ${textContent ? 'max-h-24 max-w-72' : 'max-w-36'}`} overflow-hidden"
+		{onclick}
+		type="button"
+	>
+		{#if !readonly}
+			{@render removeButton()}
+		{/if}
+
+		<div class={[!readonly && 'pr-8', 'overflow-hidden']}>
+			{#if readonly}
+				<div class="flex items-start gap-3">
+					<div class="flex min-w-0 flex-1 flex-col items-start text-left">
+						<span class="w-full truncate text-sm font-medium text-foreground">{name}</span>
+
+						{@render info(pdfProcessingMode || (size ? formatFileSize(size) : undefined))}
+
+						{#if textContent}
+							{@render textPreview(textContent)}
+						{/if}
+					</div>
+				</div>
+			{:else}
+				<span class="mb-3 block truncate text-sm font-medium text-foreground">{name}</span>
+
+				{#if textContent}
+					{@render textPreview(textContent)}
+				{/if}
+			{/if}
+		</div>
+	</button>
+{:else}
+	<button
+		class="group flex items-center gap-3 rounded-lg border border-border bg-muted p-3 {className} relative"
+		{onclick}
+		type="button"
+	>
+		{@render fileIcon()}
+
+		<div class="flex flex-col items-start gap-0.5">
+			<span
+				class="max-w-24 truncate text-sm font-medium text-foreground {readonly
+					? ''
+					: 'group-hover:pr-6'} md:max-w-32"
+			>
+				{name}
+			</span>
+
+			{@render info(pdfProcessingMode || (size ? formatFileSize(size) : undefined))}
+		</div>
+
+		{#if !readonly}
+			{@render removeButton()}
+		{/if}
+	</button>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte
similarity index 61%
rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte
index d0419db30..b78a65916 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentThumbnailImage.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte
@@ -1,64 +1,65 @@
 <script lang="ts">
-	import { ActionIconRemove } from '$lib/components/app';
+	import { ActionIcon } from '$lib/components/app';
+	import { X } from '@lucide/svelte';
 
 	interface Props {
+		class?: string;
+		height?: string;
 		id: string;
+		imageClass?: string;
+		onclick?: (event?: MouseEvent) => void;
+		onRemove?: (id: string) => void;
 		name: string;
 		preview: string;
 		readonly?: boolean;
-		onRemove?: (id: string) => void;
-		onClick?: (event?: MouseEvent) => void;
-		class?: string;
-		// Customizable size props
 		width?: string;
-		height?: string;
-		imageClass?: string;
 	}
 
 	let {
+		class: className = '',
+		height = 'h-16',
 		id,
+		imageClass = '',
+		onclick,
+		onRemove,
 		name,
 		preview,
 		readonly = false,
-		onRemove,
-		onClick,
-		class: className = '',
-		// Default to small size for form previews
-		width = 'w-auto',
-		height = 'h-16',
-		imageClass = ''
+		width = 'w-auto'
 	}: Props = $props();
 </script>
 
+{#snippet image()}
+	<img src={preview} alt={name} class="{height} {width} cursor-pointer object-cover {imageClass}" />
+{/snippet}
+
 <div
 	class="group relative overflow-hidden rounded-lg bg-muted shadow-lg dark:border dark:border-muted {className}"
 >
-	{#if onClick}
+	{#if onclick}
 		<button
-			type="button"
-			class="block h-full w-full rounded-lg focus:ring-2 focus:ring-primary focus:ring-offset-2 focus:outline-none"
-			onclick={onClick}
 			aria-label="Preview {name}"
+			class="block h-full w-full rounded-lg focus:ring-2 focus:ring-primary focus:ring-offset-2 focus:outline-none"
+			{onclick}
+			type="button"
 		>
-			<img
-				src={preview}
-				alt={name}
-				class="{height} {width} cursor-pointer object-cover {imageClass}"
-			/>
+			{@render image()}
 		</button>
 	{:else}
-		<img
-			src={preview}
-			alt={name}
-			class="{height} {width} cursor-pointer object-cover {imageClass}"
-		/>
+		{@render image()}
 	{/if}
 
 	{#if !readonly}
 		<div
 			class="absolute top-1 right-1 flex items-center justify-center opacity-0 transition-opacity group-hover:opacity-100"
 		>
-			<ActionIconRemove {id} {onRemove} class="text-white" />
+			<ActionIcon
+				class="text-white"
+				icon={X}
+				onclick={() => onRemove?.(id)}
+				stopPropagationOnClick
+				tooltip="Remove"
+			/>
 		</div>
 	{/if}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte
new file mode 100644
index 000000000..ca81e5443
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview.svelte
@@ -0,0 +1,190 @@
+<script lang="ts">
+	import {
+		ChatAttachmentsPreviewCurrentItem,
+		ChatAttachmentsPreviewFileInfo,
+		ChatAttachmentsPreviewNavButtons,
+		ChatAttachmentsPreviewThumbnailStrip
+	} from '$lib/components/app';
+	import { modelsStore } from '$lib/stores/models.svelte';
+	import {
+		createBase64DataUrl,
+		formatFileSize,
+		getAttachmentDisplayItems,
+		getLanguageFromFilename,
+		isAudioFile,
+		isImageFile,
+		isMcpPrompt,
+		isMcpResource,
+		isPdfFile,
+		isTextFile
+	} from '$lib/utils';
+
+	interface PreviewItem {
+		id: string;
+		name: string;
+		size?: number;
+		preview?: string;
+		uploadedFile?: ChatUploadedFile;
+		attachment?: DatabaseMessageExtra;
+		textContent?: string;
+		isImage: boolean;
+		isAudio: boolean;
+	}
+
+	interface Props {
+		uploadedFiles?: ChatUploadedFile[];
+		attachments?: DatabaseMessageExtra[];
+		activeModelId?: string;
+		class?: string;
+		previewFocusIndex?: number;
+	}
+
+	let {
+		uploadedFiles = [],
+		attachments = [],
+		activeModelId,
+		class: className = '',
+		previewFocusIndex = 0
+	}: Props = $props();
+
+	let allItems = $derived(
+		getAttachmentDisplayItems({ uploadedFiles, attachments })
+			.filter((item) => !isMcpPrompt(item) && !isMcpResource(item))
+			.map(
+				(item): PreviewItem => ({
+					...item,
+					isImage: isImageFile(item.attachment, item.uploadedFile),
+					isAudio: isAudioFile(item.attachment, item.uploadedFile)
+				})
+			)
+	);
+
+	let currentIndex = $state(0);
+
+	$effect(() => {
+		if (previewFocusIndex >= 0 && previewFocusIndex < allItems.length) {
+			currentIndex = previewFocusIndex;
+		}
+	});
+
+	$effect(() => {
+		const handler = (e: Event) => {
+			const delta = (e as CustomEvent).detail;
+
+			if (delta < 0) {
+				currentIndex = currentIndex > 0 ? currentIndex - 1 : allItems.length - 1;
+			} else {
+				currentIndex = currentIndex < allItems.length - 1 ? currentIndex + 1 : 0;
+			}
+		};
+
+		document.addEventListener('chat-attachments-nav', handler);
+
+		return () => document.removeEventListener('chat-attachments-nav', handler);
+	});
+
+	$effect(() => {
+		const index = currentIndex;
+		setTimeout(() => {
+			const thumbnail = document.querySelector(`[data-thumbnail-index="${index}"]`);
+
+			thumbnail?.scrollIntoView({ behavior: 'smooth', inline: 'center', block: 'nearest' });
+		}, 0);
+	});
+
+	let currentItem = $derived(allItems[currentIndex] ?? null);
+	let displayName = $derived(
+		currentItem?.name ||
+			currentItem?.uploadedFile?.name ||
+			currentItem?.attachment?.name ||
+			'Unknown File'
+	);
+	let isAudio = $derived(
+		currentItem ? isAudioFile(currentItem.attachment, currentItem.uploadedFile) : false
+	);
+	let isImage = $derived(
+		currentItem ? isImageFile(currentItem.attachment, currentItem.uploadedFile) : false
+	);
+	let isPdf = $derived(
+		currentItem ? isPdfFile(currentItem.attachment, currentItem.uploadedFile) : false
+	);
+	let isText = $derived(
+		currentItem ? isTextFile(currentItem.attachment, currentItem.uploadedFile) : false
+	);
+
+	let displayPreview = $derived(
+		currentItem?.uploadedFile?.preview ||
+			(isImage && currentItem?.attachment && 'base64Url' in currentItem.attachment
+				? currentItem.attachment.base64Url
+				: currentItem?.preview)
+	);
+
+	let displayTextContent = $derived(
+		currentItem?.uploadedFile?.textContent ||
+			(currentItem?.attachment && 'content' in currentItem.attachment
+				? currentItem.attachment.content
+				: currentItem?.textContent)
+	);
+
+	let language = $derived(getLanguageFromFilename(displayName));
+
+	let fileSize = $derived(currentItem?.size ? formatFileSize(currentItem.size) : '');
+
+	let hasVisionModality = $derived(
+		currentItem && activeModelId ? modelsStore.modelSupportsVision(activeModelId) : false
+	);
+
+	let audioSrc = $derived(
+		isAudio && currentItem
+			? (currentItem.uploadedFile?.preview ??
+					(currentItem.attachment &&
+					'mimeType' in currentItem.attachment &&
+					'base64Data' in currentItem.attachment
+						? createBase64DataUrl(
+								currentItem.attachment.mimeType,
+								currentItem.attachment.base64Data
+							)
+						: null))
+			: null
+	);
+
+	export function prev() {
+		currentIndex = currentIndex > 0 ? currentIndex - 1 : allItems.length - 1;
+	}
+
+	export function next() {
+		currentIndex = currentIndex < allItems.length - 1 ? currentIndex + 1 : 0;
+	}
+
+	function onNavigate(index: number) {
+		currentIndex = index;
+	}
+</script>
+
+<div class="{className} flex flex-col text-white">
+	<div class="relative flex min-h-0 flex-1 items-center justify-center overflow-hidden">
+		<ChatAttachmentsPreviewNavButtons onPrev={prev} onNext={next} show={allItems.length > 1} />
+
+		<div class="flex h-full w-full flex-col items-center justify-start overflow-auto py-4">
+			{#if currentItem}
+				<ChatAttachmentsPreviewFileInfo {displayName} {fileSize} />
+
+				<ChatAttachmentsPreviewCurrentItem
+					{currentItem}
+					{isImage}
+					{isAudio}
+					{isPdf}
+					{isText}
+					{displayPreview}
+					{displayTextContent}
+					{audioSrc}
+					{language}
+					{hasVisionModality}
+					{activeModelId}
+				/>
+			{/if}
+
+			<ChatAttachmentsPreviewThumbnailStrip items={allItems} {currentIndex} {onNavigate} />
+		</div>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte
new file mode 100644
index 000000000..3451c89d3
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte
@@ -0,0 +1,65 @@
+<script lang="ts">
+	import type { ChatAttachmentDisplayItem } from '$lib/types';
+	import { Image, Music, FileText, FileIcon } from '@lucide/svelte';
+	import ChatAttachmentsPreviewCurrentItemPdf from './ChatAttachmentsPreviewCurrentItemPdf.svelte';
+	import ChatAttachmentsPreviewCurrentItemImage from './ChatAttachmentsPreviewCurrentItemImage.svelte';
+	import ChatAttachmentsPreviewCurrentItemAudio from './ChatAttachmentsPreviewCurrentItemAudio.svelte';
+	import ChatAttachmentsPreviewCurrentItemText from './ChatAttachmentsPreviewCurrentItemText.svelte';
+	import ChatAttachmentsPreviewCurrentItemUnavailable from './ChatAttachmentsPreviewCurrentItemUnavailable.svelte';
+
+	interface Props {
+		currentItem: ChatAttachmentDisplayItem | null;
+		isImage: boolean;
+		isAudio: boolean;
+		isPdf: boolean;
+		isText: boolean;
+		displayPreview: string | undefined;
+		displayTextContent: string | undefined;
+		audioSrc: string | null;
+		language: string;
+		hasVisionModality: boolean;
+		activeModelId?: string;
+	}
+
+	let {
+		currentItem,
+		isImage,
+		isAudio,
+		isPdf,
+		isText,
+		displayPreview,
+		displayTextContent,
+		audioSrc,
+		language,
+		hasVisionModality,
+		activeModelId
+	}: Props = $props();
+
+	let IconComponent = $derived(
+		isImage ? Image : isText || isPdf ? FileText : isAudio ? Music : FileIcon
+	);
+
+	let isUnavailable = $derived(!isPdf && !isImage && !(isText && displayTextContent) && !isAudio);
+</script>
+
+{#if currentItem}
+	{#key currentItem.id}
+		{#if isPdf}
+			<ChatAttachmentsPreviewCurrentItemPdf
+				{currentItem}
+				displayName={currentItem.name}
+				{displayTextContent}
+				{hasVisionModality}
+				{activeModelId}
+			/>
+		{:else if isImage}
+			<ChatAttachmentsPreviewCurrentItemImage {currentItem} {displayPreview} />
+		{:else if isText && displayTextContent}
+			<ChatAttachmentsPreviewCurrentItemText {displayTextContent} {language} />
+		{:else if isAudio}
+			<ChatAttachmentsPreviewCurrentItemAudio {currentItem} {audioSrc} />
+		{:else if isUnavailable}
+			<ChatAttachmentsPreviewCurrentItemUnavailable {IconComponent} />
+		{/if}
+	{/key}
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte
new file mode 100644
index 000000000..06e1f5928
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemAudio.svelte
@@ -0,0 +1,26 @@
+<script lang="ts">
+	import { Music } from '@lucide/svelte';
+
+	interface Props {
+		currentItem: { name?: string } | null;
+		audioSrc: string | null;
+	}
+
+	let { currentItem, audioSrc }: Props = $props();
+</script>
+
+<div class="flex flex-1 items-center justify-center p-8">
+	<div class="w-full max-w-md text-center">
+		<Music class="mx-auto mb-4 h-16 w-16 text-white/50" />
+
+		{#if audioSrc}
+			<audio controls class="mb-4 w-full" src={audioSrc}>
+				Your browser does not support the audio element.
+			</audio>
+		{:else}
+			<p class="mb-4 text-white/70">Audio preview not available</p>
+		{/if}
+
+		<p class="text-sm text-white/50">{currentItem?.name || 'Audio'}</p>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte
new file mode 100644
index 000000000..070ff8230
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemImage.svelte
@@ -0,0 +1,18 @@
+<script lang="ts">
+	interface Props {
+		currentItem: { name?: string } | null;
+		displayPreview: string | undefined;
+	}
+
+	let { currentItem, displayPreview }: Props = $props();
+</script>
+
+{#if displayPreview}
+	<div class="flex flex-1 items-center justify-center">
+		<img
+			src={displayPreview}
+			alt={currentItem?.name || 'preview'}
+			class="max-h-[80vh] max-w-[80vw] rounded-lg object-contain shadow-lg"
+		/>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte
new file mode 100644
index 000000000..750532a62
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemPdf.svelte
@@ -0,0 +1,174 @@
+<script lang="ts">
+	import type { ChatAttachmentDisplayItem } from '$lib/types';
+	import { FileText, Eye, Info } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import * as Alert from '$lib/components/ui/alert';
+	import { SyntaxHighlightedCode } from '$lib/components/app';
+	import { getLanguageFromFilename } from '$lib/utils';
+	import { convertPDFToImage } from '$lib/utils/browser-only';
+	import { PdfViewMode } from '$lib/enums';
+
+	interface Props {
+		currentItem: ChatAttachmentDisplayItem | null;
+		displayName: string;
+		displayTextContent: string | undefined;
+		hasVisionModality: boolean;
+		activeModelId?: string;
+	}
+
+	let { currentItem, displayName, displayTextContent, hasVisionModality, activeModelId }: Props =
+		$props();
+
+	let pdfViewMode = $state<PdfViewMode>(PdfViewMode.PAGES);
+	let pdfImages = $state<string[]>([]);
+	let pdfImagesLoading = $state(false);
+	let pdfImagesError = $state<string | null>(null);
+
+	let language = $derived(getLanguageFromFilename(displayName));
+
+	async function loadPdfImages() {
+		if (pdfImages.length > 0 || pdfImagesLoading || !currentItem) return;
+
+		pdfImagesLoading = true;
+		pdfImagesError = null;
+
+		try {
+			let file: File | null = null;
+
+			if (currentItem.uploadedFile?.file) {
+				file = currentItem.uploadedFile.file;
+			} else if (currentItem.attachment) {
+				// Check if we have pre-processed images
+				if (
+					'images' in currentItem.attachment &&
+					currentItem.attachment.images &&
+					Array.isArray(currentItem.attachment.images) &&
+					currentItem.attachment.images.length > 0
+				) {
+					pdfImages = currentItem.attachment.images;
+					return;
+				}
+
+				// Convert base64 back to File for processing
+				if ('base64Data' in currentItem.attachment && currentItem.attachment.base64Data) {
+					const base64Data = currentItem.attachment.base64Data;
+					const byteCharacters = atob(base64Data);
+					const byteNumbers = new Array(byteCharacters.length);
+					for (let i = 0; i < byteCharacters.length; i++) {
+						byteNumbers[i] = byteCharacters.charCodeAt(i);
+					}
+					const byteArray = new Uint8Array(byteNumbers);
+					file = new File([byteArray], displayName, { type: 'application/pdf' });
+				}
+			}
+
+			if (file) {
+				pdfImages = await convertPDFToImage(file);
+			} else {
+				throw new Error('No PDF file available for conversion');
+			}
+		} catch (error) {
+			pdfImagesError = error instanceof Error ? error.message : 'Failed to load PDF images';
+		} finally {
+			pdfImagesLoading = false;
+		}
+	}
+
+	$effect(() => {
+		if (pdfViewMode === PdfViewMode.PAGES) {
+			loadPdfImages();
+		}
+	});
+</script>
+
+<div class="mb-4 flex items-center justify-end gap-2">
+	<Button
+		variant={pdfViewMode === PdfViewMode.TEXT ? 'default' : 'outline'}
+		size="sm"
+		onclick={() => (pdfViewMode = PdfViewMode.TEXT)}
+		disabled={pdfImagesLoading}
+	>
+		<FileText class="mr-1 h-4 w-4" />
+		Text
+	</Button>
+
+	<Button
+		variant={pdfViewMode === PdfViewMode.PAGES ? 'default' : 'outline'}
+		size="sm"
+		onclick={() => (pdfViewMode = PdfViewMode.PAGES)}
+		disabled={pdfImagesLoading}
+	>
+		{#if pdfImagesLoading}
+			<div
+				class="mr-1 h-4 w-4 animate-spin rounded-full border-2 border-current border-t-transparent"
+			></div>
+		{:else}
+			<Eye class="mr-1 h-4 w-4" />
+		{/if}
+		Pages
+	</Button>
+</div>
+
+{#if !hasVisionModality && activeModelId && currentItem}
+	<Alert.Root class="mb-4 max-w-4xl">
+		<Info class="h-4 w-4" />
+		<Alert.Title>Preview only</Alert.Title>
+		<Alert.Description>
+			<span class="inline-flex">
+				The selected model does not support vision. Only the extracted
+				<!-- svelte-ignore a11y_click_events_have_key_events -->
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<span
+					class="mx-1 cursor-pointer underline"
+					onclick={() => (pdfViewMode = PdfViewMode.TEXT)}
+				>
+					text
+				</span>
+				will be sent to the model.
+			</span>
+		</Alert.Description>
+	</Alert.Root>
+{/if}
+
+{#if pdfImagesLoading}
+	<div class="flex flex-1 items-center justify-center p-8">
+		<div class="text-center">
+			<div
+				class="mx-auto mb-4 h-8 w-8 animate-spin rounded-full border-4 border-white border-t-transparent"
+			></div>
+			<p class="text-white/70">Converting PDF to images...</p>
+		</div>
+	</div>
+{:else if pdfImagesError}
+	<div class="flex flex-1 items-center justify-center p-8">
+		<div class="text-center">
+			<FileText class="mx-auto mb-4 h-16 w-16 text-white/50" />
+			<p class="mb-4 text-white/70">Failed to load PDF images</p>
+			<p class="text-sm text-white/50">{pdfImagesError}</p>
+		</div>
+	</div>
+{:else if pdfImages.length > 0}
+	{#each pdfImages as image, index (image)}
+		<p class="mb-2 text-sm text-white/50">Page {index + 1}</p>
+		<img src={image} alt="PDF Page {index + 1}" class="mx-auto max-w-[85vw] rounded-lg shadow-lg" />
+		<div class="h-4"></div>
+	{/each}
+{:else}
+	<div class="flex flex-1 items-center justify-center p-8">
+		<div class="text-center">
+			<FileText class="mx-auto mb-4 h-16 w-16 text-white/50" />
+			<p class="text-white/70">No PDF pages available</p>
+		</div>
+	</div>
+{/if}
+
+{#if pdfViewMode === PdfViewMode.TEXT && displayTextContent}
+	<div class="px-4 pb-4">
+		<SyntaxHighlightedCode
+			class="max-w-4xl"
+			code={displayTextContent}
+			{language}
+			maxHeight="none"
+		/>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte
new file mode 100644
index 000000000..5977523ac
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemText.svelte
@@ -0,0 +1,21 @@
+<script lang="ts">
+	import { SyntaxHighlightedCode } from '$lib/components/app';
+
+	interface Props {
+		displayTextContent: string | undefined;
+		language: string;
+	}
+
+	let { displayTextContent, language }: Props = $props();
+</script>
+
+{#if displayTextContent}
+	<div class="px-4 pb-4">
+		<SyntaxHighlightedCode
+			class="max-w-4xl"
+			code={displayTextContent}
+			{language}
+			maxHeight="none"
+		/>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte
new file mode 100644
index 000000000..d3002a939
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItemUnavailable.svelte
@@ -0,0 +1,17 @@
+<script lang="ts">
+	import type { Component } from 'svelte';
+
+	interface Props {
+		IconComponent: Component;
+	}
+
+	let { IconComponent }: Props = $props();
+</script>
+
+<div class="flex flex-1 items-center justify-center p-8">
+	<div class="text-center">
+		<IconComponent class="mx-auto mb-4 h-16 w-16 text-white/50" />
+
+		<p class="text-white/70">Preview not available for this file type</p>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte
new file mode 100644
index 000000000..d27d54a4b
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte
@@ -0,0 +1,16 @@
+<script lang="ts">
+	interface Props {
+		displayName: string;
+		fileSize: string;
+	}
+
+	let { displayName, fileSize }: Props = $props();
+</script>
+
+<div class="sticky top-0 z-[20] mb-4 rounded-lg bg-black/5 px-4 py-2 text-center backdrop-blur-md">
+	<p class="font-medium text-white">{displayName}</p>
+
+	{#if fileSize}
+		<p class="text-xs text-white/60">{fileSize}</p>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte
new file mode 100644
index 000000000..a57e3145a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte
@@ -0,0 +1,34 @@
+<script lang="ts">
+	import { ChevronLeft, ChevronRight } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+
+	interface Props {
+		onPrev: () => void;
+		onNext: () => void;
+		show: boolean;
+	}
+
+	let { onPrev, onNext, show }: Props = $props();
+</script>
+
+{#if show}
+	<Button
+		variant="secondary"
+		size="icon"
+		class="absolute top-1/2 left-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!"
+		onclick={onPrev}
+		aria-label="Previous"
+	>
+		<ChevronLeft class="size-4" />
+	</Button>
+
+	<Button
+		variant="secondary"
+		size="icon"
+		class="absolute top-1/2 right-4 z-10 h-8 w-8 -translate-y-1/2 rounded-full bg-background/5 p-0 text-white!"
+		onclick={onNext}
+		aria-label="Next"
+	>
+		<ChevronRight class="size-4" />
+	</Button>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte
new file mode 100644
index 000000000..4c3bd7807
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte
@@ -0,0 +1,63 @@
+<script lang="ts">
+	import { Music, FileText } from '@lucide/svelte';
+	import { HorizontalScrollCarousel } from '$lib/components/app/misc';
+
+	interface PreviewItem {
+		id: string;
+		name: string;
+		isImage: boolean;
+		isAudio: boolean;
+		preview?: string;
+	}
+
+	interface Props {
+		items: PreviewItem[];
+		currentIndex: number;
+		onNavigate: (index: number) => void;
+	}
+
+	let { items, currentIndex, onNavigate }: Props = $props();
+
+	function getFileExtension(name: string): string {
+		const parts = name.split('.');
+		if (parts.length > 1) {
+			return parts.pop()?.toUpperCase() ?? '';
+		}
+		return '';
+	}
+</script>
+
+{#if items.length > 1}
+	<div class="sticky bottom-0 z-10 mt-4 flex-shrink-0">
+		<HorizontalScrollCarousel class="max-w-full">
+			{#each items as item, index (item.id)}
+				<button
+					data-thumbnail-index={index}
+					class={[
+						'relative flex-shrink-0 cursor-pointer overflow-hidden rounded border-2 bg-black/80 backdrop-blur-sm transition-all hover:opacity-90',
+						index === currentIndex ? 'border-white' : 'border-transparent opacity-60',
+						'[&:not(:first-child)]:last:mr-4 [&:not(:last-child)]:first:ml-4'
+					]}
+					onclick={() => onNavigate(index)}
+					aria-label={`Go to ${item.name}`}
+				>
+					{#if item.isImage && item.preview}
+						<img src={item.preview} alt={item.name} class="h-12 w-12 object-cover" />
+					{:else}
+						<div
+							class="bg-foreground-muted/50 flex h-12 w-12 flex-col items-center justify-center gap-0.5 py-1"
+						>
+							{#if item.isAudio}
+								<Music class="h-4 w-4 text-white/70" />
+							{:else}
+								<FileText class="h-4 w-4 text-white/70" />
+							{/if}
+
+							<span class="font-mono text-[9px] text-white/60">{getFileExtension(item.name)}</span>
+						</div>
+					{/if}
+				</button>
+			{/each}
+		</HorizontalScrollCarousel>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte b/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte
deleted file mode 100644
index 279b2e222..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentsViewAll.svelte
+++ /dev/null
@@ -1,117 +0,0 @@
-<script lang="ts">
-	import {
-		ChatAttachmentThumbnailImage,
-		ChatAttachmentThumbnailFile,
-		DialogChatAttachmentPreview
-	} from '$lib/components/app';
-	import { getAttachmentDisplayItems } from '$lib/utils';
-
-	interface Props {
-		uploadedFiles?: ChatUploadedFile[];
-		attachments?: DatabaseMessageExtra[];
-		readonly?: boolean;
-		onFileRemove?: (fileId: string) => void;
-		imageHeight?: string;
-		imageWidth?: string;
-		imageClass?: string;
-		activeModelId?: string;
-	}
-
-	let {
-		uploadedFiles = [],
-		attachments = [],
-		readonly = false,
-		onFileRemove,
-		imageHeight = 'h-24',
-		imageWidth = 'w-auto',
-		imageClass = '',
-		activeModelId
-	}: Props = $props();
-
-	let previewDialogOpen = $state(false);
-	let previewItem = $state<ChatAttachmentPreviewItem | null>(null);
-
-	let displayItems = $derived(getAttachmentDisplayItems({ uploadedFiles, attachments }));
-	let imageItems = $derived(displayItems.filter((item) => item.isImage));
-	let fileItems = $derived(displayItems.filter((item) => !item.isImage));
-
-	function openPreview(item: (typeof displayItems)[0], event?: Event) {
-		if (event) {
-			event.preventDefault();
-			event.stopPropagation();
-		}
-
-		previewItem = {
-			uploadedFile: item.uploadedFile,
-			attachment: item.attachment,
-			preview: item.preview,
-			name: item.name,
-			size: item.size,
-			textContent: item.textContent
-		};
-		previewDialogOpen = true;
-	}
-</script>
-
-<div class="space-y-4">
-	<div class="min-h-0 flex-1 space-y-6 overflow-y-auto px-1">
-		{#if fileItems.length > 0}
-			<div>
-				<h3 class="mb-3 text-sm font-medium text-foreground">Files ({fileItems.length})</h3>
-				<div class="flex flex-wrap items-start gap-3">
-					{#each fileItems as item (item.id)}
-						<ChatAttachmentThumbnailFile
-							class="cursor-pointer"
-							id={item.id}
-							name={item.name}
-							size={item.size}
-							{readonly}
-							onRemove={onFileRemove}
-							textContent={item.textContent}
-							attachment={item.attachment}
-							uploadedFile={item.uploadedFile}
-							onClick={(event?: MouseEvent) => openPreview(item, event)}
-						/>
-					{/each}
-				</div>
-			</div>
-		{/if}
-
-		{#if imageItems.length > 0}
-			<div>
-				<h3 class="mb-3 text-sm font-medium text-foreground">Images ({imageItems.length})</h3>
-				<div class="flex flex-wrap items-start gap-3">
-					{#each imageItems as item (item.id)}
-						{#if item.preview}
-							<ChatAttachmentThumbnailImage
-								class="cursor-pointer"
-								id={item.id}
-								name={item.name}
-								preview={item.preview}
-								{readonly}
-								onRemove={onFileRemove}
-								height={imageHeight}
-								width={imageWidth}
-								{imageClass}
-								onClick={(event) => openPreview(item, event)}
-							/>
-						{/if}
-					{/each}
-				</div>
-			</div>
-		{/if}
-	</div>
-</div>
-
-{#if previewItem}
-	<DialogChatAttachmentPreview
-		bind:open={previewDialogOpen}
-		uploadedFile={previewItem.uploadedFile}
-		attachment={previewItem.attachment}
-		preview={previewItem.preview}
-		name={previewItem.name}
-		size={previewItem.size}
-		textContent={previewItem.textContent}
-		{activeModelId}
-	/>
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
index fea1e8290..46ac82334 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatForm.svelte
@@ -1,14 +1,13 @@
 <script lang="ts">
 	import {
 		ChatAttachmentsList,
-		ChatAttachmentMcpResources,
 		ChatFormActions,
 		ChatFormFileInputInvisible,
-		ChatFormPromptPicker,
-		ChatFormResourcePicker,
-		ChatFormTextarea
+		ChatFormMcpResourcesList,
+		ChatFormPickers,
+		ChatFormTextarea,
+		DialogMcpResourcesBrowser
 	} from '$lib/components/app';
-	import { DialogMcpResources } from '$lib/components/app/dialogs';
 	import {
 		CLIPBOARD_CONTENT_QUOTE_PREFIX,
 		INPUT_CLASSES,
@@ -54,6 +53,8 @@
 		isLoading?: boolean;
 		placeholder?: string;
 		showMcpPromptButton?: boolean;
+		showAddButton?: boolean;
+		showModelSelector?: boolean;
 
 		// Event Handlers
 		onAttachmentRemove?: (index: number) => void;
@@ -73,6 +74,8 @@
 		isLoading = false,
 		placeholder = 'Type a message...',
 		showMcpPromptButton = false,
+		showAddButton = true,
+		showModelSelector = true,
 		uploadedFiles = $bindable([]),
 		value = $bindable(''),
 		onAttachmentRemove,
@@ -85,31 +88,21 @@
 		onValueChange
 	}: Props = $props();
 
-	/**
-	 *
-	 *
-	 * STATE
-	 *
-	 *
-	 */
-
 	// Component References
 	let audioRecorder: AudioRecorder | undefined;
 	let chatFormActionsRef: ChatFormActions | undefined = $state(undefined);
 	let fileInputRef: ChatFormFileInputInvisible | undefined = $state(undefined);
-	let promptPickerRef: ChatFormPromptPicker | undefined = $state(undefined);
-	let resourcePickerRef: ChatFormResourcePicker | undefined = $state(undefined);
+	let pickersRef: { handleKeydown: (event: KeyboardEvent) => boolean } | undefined =
+		$state(undefined);
 	let textareaRef: ChatFormTextarea | undefined = $state(undefined);
 
 	// Audio Recording State
 	let isRecording = $state(false);
 	let recordingSupported = $state(false);
 
-	// Prompt Picker State
+	// Picker State
 	let isPromptPickerOpen = $state(false);
 	let promptSearchQuery = $state('');
-
-	// Inline Resource Picker State (triggered by @)
 	let isInlineResourcePickerOpen = $state(false);
 	let resourceSearchQuery = $state('');
 
@@ -117,22 +110,12 @@
 	let isResourceDialogOpen = $state(false);
 	let preSelectedResourceUri = $state<string | undefined>(undefined);
 
-	/**
-	 *
-	 *
-	 * DERIVED STATE
-	 *
-	 *
-	 */
-
-	// Configuration
 	let currentConfig = $derived(config());
 	let pasteLongTextToFileLength = $derived.by(() => {
 		const n = Number(currentConfig.pasteLongTextToFileLen);
 		return Number.isNaN(n) ? Number(SETTING_CONFIG_DEFAULT.pasteLongTextToFileLen) : n;
 	});
 
-	// Model Selection Logic
 	let isRouter = $derived(isRouterMode());
 	let conversationModel = $derived(
 		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
@@ -158,7 +141,6 @@
 		return null;
 	});
 
-	// Form Validation State
 	let hasModelSelected = $derived(!isRouter || !!conversationModel || !!selectedModelId());
 	let hasLoadingAttachments = $derived(uploadedFiles.some((f) => f.isLoading));
 	let hasAttachments = $derived(
@@ -166,27 +148,11 @@
 	);
 	let canSubmit = $derived(value.trim().length > 0 || hasAttachments);
 
-	/**
-	 *
-	 *
-	 * LIFECYCLE
-	 *
-	 *
-	 */
-
 	onMount(() => {
 		recordingSupported = isAudioRecordingSupported();
 		audioRecorder = new AudioRecorder();
 	});
 
-	/**
-	 *
-	 *
-	 * PUBLIC API
-	 *
-	 *
-	 */
-
 	export function focus() {
 		textareaRef?.focus();
 	}
@@ -199,10 +165,6 @@
 		chatFormActionsRef?.openModelSelector();
 	}
 
-	/**
-	 * Check if a model is selected, open selector if not
-	 * @returns true if model is selected, false otherwise
-	 */
 	export function checkModelSelected(): boolean {
 		if (!hasModelSelected) {
 			chatFormActionsRef?.openModelSelector();
@@ -211,14 +173,6 @@
 		return true;
 	}
 
-	/**
-	 *
-	 *
-	 * EVENT HANDLERS - File Management
-	 *
-	 *
-	 */
-
 	function handleFileSelect(files: File[]) {
 		onFilesAdd?.(files);
 	}
@@ -238,14 +192,6 @@
 		}
 	}
 
-	/**
-	 *
-	 *
-	 * EVENT HANDLERS - Input & Keyboard
-	 *
-	 *
-	 */
-
 	function handleInput() {
 		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
 		const hasServers = mcpStore.hasEnabledServers(perChatOverrides);
@@ -273,11 +219,7 @@
 	}
 
 	function handleKeydown(event: KeyboardEvent) {
-		if (isPromptPickerOpen && promptPickerRef?.handleKeydown(event)) {
-			return;
-		}
-
-		if (isInlineResourcePickerOpen && resourcePickerRef?.handleKeydown(event)) {
+		if (pickersRef?.handleKeydown(event)) {
 			return;
 		}
 
@@ -294,11 +236,16 @@
 		}
 
 		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
-			event.preventDefault();
+			const isModifier = event.ctrlKey || event.metaKey;
+			const sendOnEnter = currentConfig.sendOnEnter !== false;
 
-			if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
+			if (sendOnEnter || isModifier) {
+				event.preventDefault();
+
+				if (!canSubmit || disabled || hasLoadingAttachments) return;
 
-			onSubmit?.();
+				onSubmit?.();
+			}
 		}
 	}
 
@@ -383,14 +330,6 @@
 		}
 	}
 
-	/**
-	 *
-	 *
-	 * EVENT HANDLERS - Prompt Picker
-	 *
-	 *
-	 */
-
 	function handlePromptLoadStart(
 		placeholderId: string,
 		promptInfo: MCPPromptInfo,
@@ -469,14 +408,6 @@
 		textareaRef?.focus();
 	}
 
-	/**
-	 *
-	 *
-	 * EVENT HANDLERS - Inline Resource Picker
-	 *
-	 *
-	 */
-
 	function handleInlineResourcePickerClose() {
 		isInlineResourcePickerOpen = false;
 		resourceSearchQuery = '';
@@ -484,7 +415,6 @@
 	}
 
 	function handleInlineResourceSelect() {
-		// Clear the @query from input after resource is attached
 		if (value.startsWith(RESOURCE_TRIGGER_PREFIX)) {
 			value = '';
 			onValueChange?.('');
@@ -507,14 +437,6 @@
 		isResourceDialogOpen = true;
 	}
 
-	/**
-	 *
-	 *
-	 * EVENT HANDLERS - Audio Recording
-	 *
-	 *
-	 */
-
 	async function handleMicClick() {
 		if (!audioRecorder || !recordingSupported) {
 			console.warn('Audio recording not supported');
@@ -522,16 +444,15 @@
 		}
 
 		if (isRecording) {
+			isRecording = false;
 			try {
 				const audioBlob = await audioRecorder.stopRecording();
 				const wavBlob = await convertToWav(audioBlob);
 				const audioFile = createAudioFile(wavBlob);
 
 				onFilesAdd?.([audioFile]);
-				isRecording = false;
 			} catch (error) {
 				console.error('Failed to stop recording:', error);
-				isRecording = false;
 			}
 		} else {
 			try {
@@ -548,29 +469,27 @@
 
 <form
 	class="relative {className}"
-	onsubmit={(e) => {
-		e.preventDefault();
-		if (!canSubmit || disabled || isLoading || hasLoadingAttachments) return;
+	onsubmit={(event) => {
+		event.preventDefault();
+
+		if (!canSubmit || disabled || hasLoadingAttachments) return;
+
 		onSubmit?.();
 	}}
 >
-	<ChatFormPromptPicker
-		bind:this={promptPickerRef}
-		isOpen={isPromptPickerOpen}
-		searchQuery={promptSearchQuery}
-		onClose={handlePromptPickerClose}
+	<ChatFormPickers
+		bind:this={pickersRef}
+		{isPromptPickerOpen}
+		{promptSearchQuery}
+		{isInlineResourcePickerOpen}
+		{resourceSearchQuery}
+		onPromptPickerClose={handlePromptPickerClose}
+		onInlineResourcePickerClose={handleInlineResourcePickerClose}
+		onInlineResourceSelect={handleInlineResourceSelect}
 		onPromptLoadStart={handlePromptLoadStart}
 		onPromptLoadComplete={handlePromptLoadComplete}
 		onPromptLoadError={handlePromptLoadError}
-	/>
-
-	<ChatFormResourcePicker
-		bind:this={resourcePickerRef}
-		isOpen={isInlineResourcePickerOpen}
-		searchQuery={resourceSearchQuery}
-		onClose={handleInlineResourcePickerClose}
-		onResourceSelect={handleInlineResourceSelect}
-		onBrowse={handleBrowseResources}
+		onInlineResourceBrowse={handleBrowseResources}
 	/>
 
 	<div
@@ -607,7 +526,7 @@
 			/>
 
 			{#if mcpHasResourceAttachments()}
-				<ChatAttachmentMcpResources
+				<ChatFormMcpResourcesList
 					class="mb-3"
 					onResourceClick={(uri) => {
 						preSelectedResourceUri = uri;
@@ -620,10 +539,11 @@
 				class="px-3"
 				bind:this={chatFormActionsRef}
 				canSend={canSubmit}
-				hasText={value.trim().length > 0}
 				{disabled}
 				{isLoading}
 				{isRecording}
+				{showAddButton}
+				{showModelSelector}
 				{uploadedFiles}
 				onFileUpload={handleFileUpload}
 				onMicClick={handleMicClick}
@@ -636,7 +556,7 @@
 	</div>
 </form>
 
-<DialogMcpResources
+<DialogMcpResourcesBrowser
 	bind:open={isResourceDialogOpen}
 	preSelectedUri={preSelectedResourceUri}
 	onAttach={(resource: MCPResourceInfo) => {
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddButton.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddButton.svelte
new file mode 100644
index 000000000..7175888aa
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddButton.svelte
@@ -0,0 +1,33 @@
+<script lang="ts">
+	import { Plus } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { ATTACHMENT_TOOLTIP_TEXT } from '$lib/constants';
+
+	interface Props {
+		disabled?: boolean;
+		onclick?: (e: MouseEvent) => void;
+	}
+
+	let { disabled = false, onclick }: Props = $props();
+</script>
+
+<Tooltip.Root>
+	<Tooltip.Trigger class="w-full">
+		<Button
+			class="file-upload-button h-8 w-8 rounded-full p-0"
+			{disabled}
+			{onclick}
+			variant="secondary"
+			type="button"
+		>
+			<span class="sr-only">{ATTACHMENT_TOOLTIP_TEXT}</span>
+
+			<Plus class="h-4 w-4" />
+		</Button>
+	</Tooltip.Trigger>
+
+	<Tooltip.Content>
+		<p>{ATTACHMENT_TOOLTIP_TEXT}</p>
+	</Tooltip.Content>
+</Tooltip.Root>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte
new file mode 100644
index 000000000..175eb3c8c
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddDropdown.svelte
@@ -0,0 +1,168 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import {
+		ATTACHMENT_FILE_ITEMS,
+		ATTACHMENT_EXTRA_ITEMS,
+		ATTACHMENT_MCP_ITEMS,
+		TOOLTIP_DELAY_DURATION
+	} from '$lib/constants';
+	import { AttachmentMenuItemId } from '$lib/enums';
+	import {
+		ChatFormActionAddToolsSubmenu,
+		ChatFormActionAddMcpServersSubmenu
+	} from '$lib/components/app';
+
+	import { useAttachmentMenu } from '$lib/hooks/use-attachment-menu.svelte';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		hasAudioModality?: boolean;
+		hasVisionModality?: boolean;
+		hasMcpPromptsSupport?: boolean;
+		hasMcpResourcesSupport?: boolean;
+		onFileUpload?: () => void;
+		onSystemPromptClick?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpSettingsClick?: () => void;
+		onMcpResourcesClick?: () => void;
+		trigger: Snippet<[{ disabled: boolean }]>;
+	}
+
+	let {
+		class: className = '',
+		disabled = false,
+		hasAudioModality = false,
+		hasVisionModality = false,
+		hasMcpPromptsSupport = false,
+		hasMcpResourcesSupport = false,
+		onFileUpload,
+		onSystemPromptClick,
+		onMcpPromptClick,
+		onMcpSettingsClick,
+		onMcpResourcesClick,
+		trigger
+	}: Props = $props();
+
+	let dropdownOpen = $state(false);
+
+	function handleMcpSettingsClick() {
+		dropdownOpen = false;
+		onMcpSettingsClick?.();
+	}
+
+	const attachmentMenu = useAttachmentMenu(
+		() => ({ hasVisionModality, hasAudioModality, hasMcpPromptsSupport, hasMcpResourcesSupport }),
+		() => ({ onFileUpload, onSystemPromptClick, onMcpPromptClick, onMcpResourcesClick }),
+		() => {
+			dropdownOpen = false;
+		}
+	);
+</script>
+
+<div class="flex items-center gap-1 {className}">
+	<DropdownMenu.Root bind:open={dropdownOpen}>
+		<DropdownMenu.Trigger name="Attach files" {disabled}>
+			{@render trigger({ disabled })}
+		</DropdownMenu.Trigger>
+
+		<DropdownMenu.Content align="start" class="w-48">
+			{#each ATTACHMENT_FILE_ITEMS as item (item.id)}
+				{@const enabled = attachmentMenu.isItemEnabled(item.enabledWhen)}
+				{#if enabled}
+					<DropdownMenu.Item
+						class="{item.class ?? ''} flex cursor-pointer items-center gap-2"
+						onclick={() => attachmentMenu.callbacks[item.action]()}
+					>
+						<item.icon class="h-4 w-4" />
+
+						<span>{item.label}</span>
+					</DropdownMenu.Item>
+				{:else if item.disabledTooltip}
+					<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+						<Tooltip.Trigger class="w-full">
+							<DropdownMenu.Item
+								class="{item.class ?? ''} flex cursor-pointer items-center gap-2"
+								disabled
+							>
+								<item.icon class="h-4 w-4" />
+
+								<span>{item.label}</span>
+							</DropdownMenu.Item>
+						</Tooltip.Trigger>
+
+						<Tooltip.Content side="right">
+							<p>{item.disabledTooltip}</p>
+						</Tooltip.Content>
+					</Tooltip.Root>
+				{/if}
+			{/each}
+
+			{#if !attachmentMenu.isItemEnabled('hasVisionModality')}
+				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+					<Tooltip.Trigger class="w-full">
+						<DropdownMenu.Item
+							class="flex cursor-pointer items-center gap-2"
+							onclick={attachmentMenu.callbacks.onFileUpload}
+						>
+							{@const pdfItem = ATTACHMENT_FILE_ITEMS.find(
+								(i) => i.id === AttachmentMenuItemId.PDF
+							)}
+							{#if pdfItem}
+								<pdfItem.icon class="h-4 w-4" />
+
+								<span>{pdfItem.label}</span>
+							{/if}
+						</DropdownMenu.Item>
+					</Tooltip.Trigger>
+
+					<Tooltip.Content side="right">
+						<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
+			{/if}
+
+			<DropdownMenu.Separator />
+
+			{#each ATTACHMENT_EXTRA_ITEMS as item (item.id)}
+				{#if item.id === AttachmentMenuItemId.SYSTEM_MESSAGE}
+					<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+						<Tooltip.Trigger class="w-full">
+							<DropdownMenu.Item
+								class="flex cursor-pointer items-center gap-2"
+								onclick={() => attachmentMenu.callbacks[item.action]()}
+							>
+								<item.icon class="h-4 w-4" />
+
+								<span>{item.label}</span>
+							</DropdownMenu.Item>
+						</Tooltip.Trigger>
+
+						<Tooltip.Content side="right">
+							<p>{attachmentMenu.getSystemMessageTooltip()}</p>
+						</Tooltip.Content>
+					</Tooltip.Root>
+				{/if}
+			{/each}
+
+			<ChatFormActionAddToolsSubmenu />
+
+			<ChatFormActionAddMcpServersSubmenu onMcpSettingsClick={handleMcpSettingsClick} />
+
+			{#each ATTACHMENT_MCP_ITEMS as item (item.id)}
+				{#if attachmentMenu.isItemVisible(item.visibleWhen)}
+					<DropdownMenu.Item
+						class="flex cursor-pointer items-center gap-2"
+						onclick={() => attachmentMenu.callbacks[item.action]()}
+					>
+						<item.icon class="h-4 w-4" />
+
+						<span>{item.label}</span>
+					</DropdownMenu.Item>
+				{/if}
+			{/each}
+		</DropdownMenu.Content>
+	</DropdownMenu.Root>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddMcpServersSubmenu.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddMcpServersSubmenu.svelte
new file mode 100644
index 000000000..4a3bcacf8
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddMcpServersSubmenu.svelte
@@ -0,0 +1,149 @@
+<script lang="ts">
+	import { Settings, Plus } from '@lucide/svelte';
+	import { Switch } from '$lib/components/ui/switch';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import { McpLogo, DropdownMenuSearchable, McpServerIdentity } from '$lib/components/app';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { HealthCheckStatus } from '$lib/enums';
+	import type { MCPServerSettingsEntry } from '$lib/types';
+	import { goto } from '$app/navigation';
+
+	interface Props {
+		onMcpSettingsClick?: () => void;
+	}
+
+	let { onMcpSettingsClick }: Props = $props();
+
+	let mcpSearchQuery = $state('');
+	let allMcpServers = $derived(mcpStore.getServersSorted());
+	let mcpServers = $derived(allMcpServers.filter((s) => s.enabled));
+	let hasMcpServers = $derived(mcpServers.length > 0);
+	// let hasAnyMcpServers = $derived(allMcpServers.length > 0);
+	let filteredMcpServers = $derived.by(() => {
+		const query = mcpSearchQuery.toLowerCase().trim();
+		if (!query) return mcpServers;
+		return mcpServers.filter((s) => {
+			const name = getServerLabel(s).toLowerCase();
+			const url = s.url.toLowerCase();
+			return name.includes(query) || url.includes(query);
+		});
+	});
+
+	function getServerLabel(server: MCPServerSettingsEntry): string {
+		return mcpStore.getServerLabel(server);
+	}
+
+	function isServerEnabledForChat(serverId: string): boolean {
+		return conversationsStore.isMcpServerEnabledForChat(serverId);
+	}
+
+	async function toggleServerForChat(serverId: string) {
+		await conversationsStore.toggleMcpServerForChat(serverId);
+	}
+
+	function handleMcpSubMenuOpen(open: boolean) {
+		if (open) {
+			mcpSearchQuery = '';
+			mcpStore.runHealthChecksForServers(allMcpServers);
+		}
+	}
+
+	function handleMcpSettingsClick() {
+		onMcpSettingsClick?.();
+
+		goto(`${hasMcpServers ? '' : '?add'}#/settings/mcp`);
+	}
+</script>
+
+<DropdownMenu.Root>
+	<DropdownMenu.Sub onOpenChange={handleMcpSubMenuOpen}>
+		<DropdownMenu.SubTrigger class="flex cursor-pointer items-center gap-2">
+			<McpLogo class="h-4 w-4" />
+
+			<span>MCP Servers</span>
+		</DropdownMenu.SubTrigger>
+
+		<DropdownMenu.SubContent class="w-72 pt-0">
+			{#if hasMcpServers}
+				<DropdownMenuSearchable
+					placeholder="Search servers..."
+					bind:searchValue={mcpSearchQuery}
+					emptyMessage="No servers found"
+					isEmpty={filteredMcpServers.length === 0}
+				>
+					<div class="max-h-64 overflow-y-auto">
+						{#each filteredMcpServers as server (server.id)}
+							{@const healthState = mcpStore.getHealthCheckState(server.id)}
+							{@const hasError = healthState.status === HealthCheckStatus.ERROR}
+							{@const isEnabledForChat = isServerEnabledForChat(server.id)}
+							{@const displayName = getServerLabel(server)}
+							{@const faviconUrl = mcpStore.getServerFavicon(server.id)}
+
+							<button
+								type="button"
+								class="flex w-full items-center justify-between gap-2 rounded-sm px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-not-allowed disabled:opacity-50"
+								onclick={() => !hasError && toggleServerForChat(server.id)}
+								disabled={hasError}
+							>
+								<div class="flex min-w-0 flex-1 items-center gap-2">
+									<div class="min-w-0 flex-1">
+										<McpServerIdentity
+											{displayName}
+											{faviconUrl}
+											iconClass="h-4 w-4"
+											iconRounded="rounded-sm"
+											showVersion={false}
+											nameClass="text-sm"
+										/>
+									</div>
+
+									{#if hasError}
+										<span
+											class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive"
+										>
+											Error
+										</span>
+									{/if}
+								</div>
+
+								<Switch
+									checked={isEnabledForChat}
+									disabled={hasError}
+									onclick={(e) => e.stopPropagation()}
+									onCheckedChange={() => toggleServerForChat(server.id)}
+								/>
+							</button>
+						{/each}
+					</div>
+
+					{#snippet footer()}
+						<DropdownMenu.Item
+							class="flex cursor-pointer items-center gap-2"
+							onclick={handleMcpSettingsClick}
+						>
+							<Settings class="h-4 w-4" />
+
+							<span>Manage MCP Servers</span>
+						</DropdownMenu.Item>
+					{/snippet}
+				</DropdownMenuSearchable>
+			{:else}
+				<div class="px-2 py-3 text-center text-sm text-muted-foreground">
+					No MCP servers configured
+				</div>
+
+				<DropdownMenu.Separator />
+
+				<DropdownMenu.Item
+					class="flex cursor-pointer items-center gap-2"
+					onclick={handleMcpSettingsClick}
+				>
+					<Plus class="h-4 w-4" />
+
+					<span>Add MCP Servers</span>
+				</DropdownMenu.Item>
+			{/if}
+		</DropdownMenu.SubContent>
+	</DropdownMenu.Sub>
+</DropdownMenu.Root>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte
new file mode 100644
index 000000000..4830e474a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddSheet.svelte
@@ -0,0 +1,177 @@
+<script lang="ts">
+	import type { Snippet } from 'svelte';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import * as Sheet from '$lib/components/ui/sheet';
+	import { TOOLTIP_DELAY_DURATION } from '$lib/constants';
+	import {
+		ATTACHMENT_FILE_ITEMS,
+		ATTACHMENT_EXTRA_ITEMS,
+		ATTACHMENT_MCP_ITEMS
+	} from '$lib/constants/attachment-menu';
+	import { McpLogo } from '$lib/components/app';
+	import { useAttachmentMenu } from '$lib/hooks/use-attachment-menu.svelte';
+	import { AttachmentMenuItemId } from '$lib/enums';
+	import { PencilRuler } from '@lucide/svelte';
+
+	interface Props {
+		class?: string;
+		disabled?: boolean;
+		hasAudioModality?: boolean;
+		hasVisionModality?: boolean;
+		hasMcpPromptsSupport?: boolean;
+		hasMcpResourcesSupport?: boolean;
+		onFileUpload?: () => void;
+		onSystemPromptClick?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpResourcesClick?: () => void;
+		trigger: Snippet<[{ disabled: boolean; onclick?: () => void }]>;
+	}
+
+	let {
+		class: className = '',
+		disabled = false,
+		hasAudioModality = false,
+		hasVisionModality = false,
+		hasMcpPromptsSupport = false,
+		hasMcpResourcesSupport = false,
+		onFileUpload,
+		onSystemPromptClick,
+		onMcpPromptClick,
+		onMcpResourcesClick,
+		trigger
+	}: Props = $props();
+
+	let sheetOpen = $state(false);
+
+	const attachmentMenu = useAttachmentMenu(
+		() => ({ hasVisionModality, hasAudioModality, hasMcpPromptsSupport, hasMcpResourcesSupport }),
+		() => ({ onFileUpload, onSystemPromptClick, onMcpPromptClick, onMcpResourcesClick }),
+		() => {
+			sheetOpen = false;
+		}
+	);
+
+	const sheetItemClass =
+		'flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allowed disabled:opacity-50';
+</script>
+
+<div class="flex items-center gap-1 {className}">
+	<Sheet.Root bind:open={sheetOpen}>
+		{@render trigger({ disabled, onclick: () => (sheetOpen = true) })}
+		<!-- <ChatFormActionAddButton {disabled} onclick={() => (sheetOpen = true)} /> -->
+
+		<Sheet.Content side="bottom" class="max-h-[85vh] gap-0 overflow-y-auto">
+			<Sheet.Header>
+				<Sheet.Title>Add to chat</Sheet.Title>
+
+				<Sheet.Description class="sr-only">
+					Add files, system prompt or configure MCP servers
+				</Sheet.Description>
+			</Sheet.Header>
+
+			<div class="flex flex-col gap-1 px-1.5 pb-2">
+				{#each ATTACHMENT_FILE_ITEMS as item (item.id)}
+					{@const enabled = attachmentMenu.isItemEnabled(item.enabledWhen)}
+					{#if enabled}
+						<button
+							type="button"
+							class={sheetItemClass}
+							onclick={() => attachmentMenu.callbacks[item.action]()}
+						>
+							<item.icon class="h-4 w-4 shrink-0" />
+
+							<span>{item.label}</span>
+						</button>
+					{:else if item.disabledTooltip}
+						<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+							<Tooltip.Trigger>
+								<button type="button" class={sheetItemClass} disabled>
+									<item.icon class="h-4 w-4 shrink-0" />
+
+									<span>{item.label}</span>
+								</button>
+							</Tooltip.Trigger>
+
+							<Tooltip.Content side="right">
+								<p>{item.disabledTooltip}</p>
+							</Tooltip.Content>
+						</Tooltip.Root>
+					{/if}
+				{/each}
+
+				{#if !attachmentMenu.isItemEnabled('hasVisionModality')}
+					{@const pdfItem = ATTACHMENT_FILE_ITEMS.find((i) => i.id === AttachmentMenuItemId.PDF)}
+					{#if pdfItem}
+						<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+							<Tooltip.Trigger>
+								<button
+									type="button"
+									class={sheetItemClass}
+									onclick={() => attachmentMenu.callbacks[pdfItem.action]()}
+								>
+									<pdfItem.icon class="h-4 w-4 shrink-0" />
+
+									<span>{pdfItem.label}</span>
+								</button>
+							</Tooltip.Trigger>
+
+							<Tooltip.Content side="right">
+								<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>
+							</Tooltip.Content>
+						</Tooltip.Root>
+					{/if}
+				{/if}
+
+				{#each ATTACHMENT_EXTRA_ITEMS as item (item.id)}
+					{#if item.id === AttachmentMenuItemId.SYSTEM_MESSAGE}
+						<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
+							<Tooltip.Trigger>
+								<button
+									type="button"
+									class={sheetItemClass}
+									onclick={() => attachmentMenu.callbacks[item.action]()}
+								>
+									<item.icon class="h-4 w-4 shrink-0" />
+
+									<span>{item.label}</span>
+								</button>
+							</Tooltip.Trigger>
+
+							<Tooltip.Content side="right">
+								<p>{attachmentMenu.getSystemMessageTooltip()}</p>
+							</Tooltip.Content>
+						</Tooltip.Root>
+					{/if}
+				{/each}
+
+				<div class="my-2 border-t"></div>
+
+				<a href="#/settings/mcp" class="flex items-center gap-3 px-3 py-2">
+					<McpLogo class="inline h-4 w-4" />
+
+					<span class="text-sm">MCP Servers</span>
+				</a>
+
+				<a href="#/settings/chat/tools" class="flex items-center gap-3 px-3 py-2">
+					<PencilRuler class="inline h-4 w-4" />
+
+					<span class="text-sm">Tools</span>
+				</a>
+
+				{#each ATTACHMENT_MCP_ITEMS as item (item.id)}
+					{#if attachmentMenu.isItemVisible(item.visibleWhen)}
+						<button
+							type="button"
+							class={sheetItemClass}
+							onclick={() => attachmentMenu.callbacks[item.action]()}
+						>
+							<item.icon class="h-4 w-4 shrink-0" />
+
+							<span>{item.label}</span>
+						</button>
+					{/if}
+				{/each}
+			</div>
+		</Sheet.Content>
+	</Sheet.Root>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte
new file mode 100644
index 000000000..ccc35d98f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte
@@ -0,0 +1,149 @@
+<script lang="ts">
+	import { PencilRuler, ChevronDown, ChevronRight, Loader2, Info } from '@lucide/svelte';
+	import { Checkbox } from '$lib/components/ui/checkbox';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { toolsStore } from '$lib/stores/tools.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { useToolsPanel } from '$lib/hooks/use-tools-panel.svelte';
+
+	const toolsPanel = useToolsPanel();
+	const hasMcpServersAvailable = $derived(mcpStore.getServersSorted().length > 0);
+</script>
+
+<DropdownMenu.Sub onOpenChange={(open) => open && toolsPanel.handleOpen()}>
+	<DropdownMenu.SubTrigger class="flex cursor-pointer items-center gap-2">
+		<PencilRuler class="h-4 w-4" />
+
+		<span>Tools</span>
+	</DropdownMenu.SubTrigger>
+
+	<DropdownMenu.SubContent class="w-72 p-0">
+		{#if toolsPanel.totalToolCount === 0}
+			{#if toolsStore.loading}
+				<div class="px-3 py-4 text-center text-sm text-muted-foreground">
+					<Loader2 class="mx-auto mb-1 h-4 w-4 animate-spin" />
+
+					Loading tools...
+				</div>
+			{:else if toolsStore.isToolsEndpointUnreachable}
+				<div class="grid gap-2.5 px-3 py-4 text-sm text-muted-foreground">
+					<span class="flex gap-2">
+						<Info class="mt-0.5 h-4 w-4 shrink-0" />
+
+						<span>
+							Run llama-server with <code>--tools</code> flag to enable
+
+							<strong>Built-in Tools</strong>.
+						</span>
+					</span>
+
+					<span class="flex gap-2">
+						<Info class="mt-0.5 h-4 w-4 shrink-0" />
+
+						<span>
+							{hasMcpServersAvailable ? 'Enable' : 'Add'} MCP Server(s) to access
+
+							<strong>MCP Tools</strong>.
+						</span>
+					</span>
+				</div>
+			{:else if toolsStore.error}
+				<div class="px-3 py-4 text-center text-sm text-muted-foreground">Failed to load tools</div>
+			{:else if toolsPanel.noToolsInfoMessage}
+				<div class="flex gap-2 px-3 py-4 text-sm text-muted-foreground">
+					<Info class="mt-0.5 h-4 w-4 shrink-0" />
+
+					<span>{toolsPanel.noToolsInfoMessage}</span>
+				</div>
+			{:else}
+				<div class="px-3 py-4 text-center text-sm text-muted-foreground">No tools available</div>
+			{/if}
+		{:else}
+			<div class="max-h-80 overflow-y-auto p-2 pr-1">
+				{#each toolsPanel.activeGroups as group (group.label)}
+					{@const isExpanded = toolsPanel.expandedGroups.has(group.label)}
+					{@const { checked, indeterminate } = toolsPanel.getGroupCheckedState(group)}
+					{@const favicon = toolsPanel.getFavicon(group)}
+
+					<Collapsible.Root
+						open={isExpanded}
+						onOpenChange={() => toolsPanel.toggleGroupExpanded(group.label)}
+					>
+						<div class="flex items-center gap-1">
+							<Collapsible.Trigger
+								class="flex min-w-0 flex-1 items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50"
+							>
+								{#if isExpanded}
+									<ChevronDown class="h-3.5 w-3.5 shrink-0" />
+								{:else}
+									<ChevronRight class="h-3.5 w-3.5 shrink-0" />
+								{/if}
+
+								<span class="inline-flex min-w-0 items-center gap-1.5 font-medium">
+									{#if favicon}
+										<img
+											src={favicon}
+											alt=""
+											class="h-4 w-4 shrink-0 rounded-sm"
+											onerror={(e) => {
+												(e.currentTarget as HTMLImageElement).style.display = 'none';
+											}}
+										/>
+									{/if}
+
+									<span class="truncate">{group.label}</span>
+								</span>
+
+								<span class="ml-auto shrink-0 text-xs text-muted-foreground">
+									{toolsPanel.getEnabledToolCount(group)}/{group.tools.length}
+								</span>
+							</Collapsible.Trigger>
+
+							<Tooltip.Root>
+								<Tooltip.Trigger>
+									<Checkbox
+										{checked}
+										{indeterminate}
+										onCheckedChange={() => toolsStore.toggleGroup(group)}
+										class="mr-2 h-4 w-4 shrink-0"
+									/>
+								</Tooltip.Trigger>
+
+								<Tooltip.Content side="right">
+									<p>
+										{checked ? 'Disable' : 'Enable'}
+										{group.tools.length} tool{group.tools.length !== 1 ? 's' : ''}
+									</p>
+								</Tooltip.Content>
+							</Tooltip.Root>
+						</div>
+
+						<Collapsible.Content>
+							<div class="ml-4 flex flex-col gap-0.5 border-l border-border/50 pl-2">
+								{#each group.tools as tool (tool.function.name)}
+									<button
+										type="button"
+										class="flex w-full items-center gap-2 rounded px-2 py-1.5 text-left text-sm transition-colors hover:bg-muted/50"
+										onclick={() => toolsStore.toggleTool(tool.function.name)}
+									>
+										<Checkbox
+											checked={toolsStore.isToolEnabled(tool.function.name)}
+											onCheckedChange={() => toolsStore.toggleTool(tool.function.name)}
+											class="h-4 w-4 shrink-0"
+										/>
+
+										<span class="min-w-0 flex-1 truncate font-mono text-[12px]">
+											{tool.function.name}
+										</span>
+									</button>
+								{/each}
+							</div>
+						</Collapsible.Content>
+					</Collapsible.Root>
+				{/each}
+			</div>
+		{/if}
+	</DropdownMenu.SubContent>
+</DropdownMenu.Sub>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte
new file mode 100644
index 000000000..8cfd7d809
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte
@@ -0,0 +1,68 @@
+<script lang="ts">
+	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
+	import ChatFormActionAddDropdown from './ChatFormActionAddDropdown.svelte';
+	import ChatFormActionAddSheet from './ChatFormActionAddSheet.svelte';
+	import ChatFormActionAddButton from './ChatFormActionAddButton.svelte';
+
+	interface Props {
+		disabled?: boolean;
+		hasAudioModality?: boolean;
+		hasMcpPromptsSupport?: boolean;
+		hasMcpResourcesSupport?: boolean;
+		hasVisionModality?: boolean;
+		onFileUpload?: () => void;
+		onMcpPromptClick?: () => void;
+		onMcpResourcesClick?: () => void;
+		onMcpSettingsClick?: () => void;
+		onSystemPromptClick?: () => void;
+	}
+
+	let {
+		disabled = false,
+		hasAudioModality = false,
+		hasMcpPromptsSupport = false,
+		hasMcpResourcesSupport = false,
+		hasVisionModality = false,
+		onFileUpload,
+		onMcpPromptClick,
+		onMcpResourcesClick,
+		onMcpSettingsClick,
+		onSystemPromptClick
+	}: Props = $props();
+
+	const isMobile = new IsMobile();
+</script>
+
+{#if isMobile.current}
+	<ChatFormActionAddSheet
+		{disabled}
+		{hasAudioModality}
+		{hasVisionModality}
+		{hasMcpPromptsSupport}
+		{hasMcpResourcesSupport}
+		{onFileUpload}
+		{onMcpPromptClick}
+		{onMcpResourcesClick}
+	>
+		{#snippet trigger({ disabled, onclick })}
+			<ChatFormActionAddButton {disabled} {onclick} />
+		{/snippet}
+	</ChatFormActionAddSheet>
+{:else}
+	<ChatFormActionAddDropdown
+		{disabled}
+		{hasAudioModality}
+		{hasVisionModality}
+		{hasMcpPromptsSupport}
+		{hasMcpResourcesSupport}
+		{onFileUpload}
+		{onMcpPromptClick}
+		{onMcpResourcesClick}
+		{onMcpSettingsClick}
+		{onSystemPromptClick}
+	>
+		{#snippet trigger()}
+			<ChatFormActionAddButton {disabled} />
+		{/snippet}
+	</ChatFormActionAddDropdown>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte
deleted file mode 100644
index b9bb5b7e3..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte
+++ /dev/null
@@ -1,333 +0,0 @@
-<script lang="ts">
-	import { page } from '$app/state';
-	import { Plus, MessageSquare, Settings, Zap, FolderOpen } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
-	import * as Tooltip from '$lib/components/ui/tooltip';
-	import { Switch } from '$lib/components/ui/switch';
-	import { FILE_TYPE_ICONS, TOOLTIP_DELAY_DURATION } from '$lib/constants';
-	import { McpLogo, DropdownMenuSearchable } from '$lib/components/app';
-	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { mcpStore } from '$lib/stores/mcp.svelte';
-
-	import { HealthCheckStatus } from '$lib/enums';
-	import type { MCPServerSettingsEntry } from '$lib/types';
-
-	interface Props {
-		class?: string;
-		disabled?: boolean;
-		hasAudioModality?: boolean;
-		hasVisionModality?: boolean;
-		hasMcpPromptsSupport?: boolean;
-		hasMcpResourcesSupport?: boolean;
-		onFileUpload?: () => void;
-		onSystemPromptClick?: () => void;
-		onMcpPromptClick?: () => void;
-		onMcpSettingsClick?: () => void;
-		onMcpResourcesClick?: () => void;
-	}
-
-	let {
-		class: className = '',
-		disabled = false,
-		hasAudioModality = false,
-		hasVisionModality = false,
-		hasMcpPromptsSupport = false,
-		hasMcpResourcesSupport = false,
-		onFileUpload,
-		onSystemPromptClick,
-		onMcpPromptClick,
-		onMcpSettingsClick,
-		onMcpResourcesClick
-	}: Props = $props();
-
-	let isNewChat = $derived(!page.params.id);
-
-	let systemMessageTooltip = $derived(
-		isNewChat
-			? 'Add custom system message for a new conversation'
-			: 'Inject custom system message at the beginning of the conversation'
-	);
-
-	let dropdownOpen = $state(false);
-
-	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
-	let hasMcpServers = $derived(mcpServers.length > 0);
-	let mcpSearchQuery = $state('');
-	let filteredMcpServers = $derived.by(() => {
-		const query = mcpSearchQuery.toLowerCase().trim();
-		if (!query) return mcpServers;
-		return mcpServers.filter((s) => {
-			const name = getServerLabel(s).toLowerCase();
-			const url = s.url.toLowerCase();
-			return name.includes(query) || url.includes(query);
-		});
-	});
-
-	function getServerLabel(server: MCPServerSettingsEntry): string {
-		return mcpStore.getServerLabel(server);
-	}
-
-	function isServerEnabledForChat(serverId: string): boolean {
-		return conversationsStore.isMcpServerEnabledForChat(serverId);
-	}
-
-	async function toggleServerForChat(serverId: string) {
-		await conversationsStore.toggleMcpServerForChat(serverId);
-	}
-
-	function handleMcpSubMenuOpen(open: boolean) {
-		if (open) {
-			mcpSearchQuery = '';
-			mcpStore.runHealthChecksForServers(mcpServers);
-		}
-	}
-
-	function handleMcpPromptClick() {
-		dropdownOpen = false;
-		onMcpPromptClick?.();
-	}
-
-	function handleMcpSettingsClick() {
-		dropdownOpen = false;
-		onMcpSettingsClick?.();
-	}
-
-	function handleMcpResourcesClick() {
-		dropdownOpen = false;
-		onMcpResourcesClick?.();
-	}
-
-	const fileUploadTooltipText = 'Add files, system prompt or MCP Servers';
-</script>
-
-<div class="flex items-center gap-1 {className}">
-	<DropdownMenu.Root bind:open={dropdownOpen}>
-		<DropdownMenu.Trigger name="Attach files" {disabled}>
-			<Tooltip.Root>
-				<Tooltip.Trigger class="w-full">
-					<Button
-						class="file-upload-button h-8 w-8 rounded-full p-0"
-						{disabled}
-						variant="secondary"
-						type="button"
-					>
-						<span class="sr-only">{fileUploadTooltipText}</span>
-
-						<Plus class="h-4 w-4" />
-					</Button>
-				</Tooltip.Trigger>
-
-				<Tooltip.Content>
-					<p>{fileUploadTooltipText}</p>
-				</Tooltip.Content>
-			</Tooltip.Root>
-		</DropdownMenu.Trigger>
-
-		<DropdownMenu.Content align="start" class="w-48">
-			{#if hasVisionModality}
-				<DropdownMenu.Item
-					class="images-button flex cursor-pointer items-center gap-2"
-					onclick={() => onFileUpload?.()}
-				>
-					<FILE_TYPE_ICONS.image class="h-4 w-4" />
-
-					<span>Images</span>
-				</DropdownMenu.Item>
-			{:else}
-				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
-					<Tooltip.Trigger class="w-full">
-						<DropdownMenu.Item
-							class="images-button flex cursor-pointer items-center gap-2"
-							disabled
-						>
-							<FILE_TYPE_ICONS.image class="h-4 w-4" />
-
-							<span>Images</span>
-						</DropdownMenu.Item>
-					</Tooltip.Trigger>
-
-					<Tooltip.Content side="right">
-						<p>Image processing requires a vision model</p>
-					</Tooltip.Content>
-				</Tooltip.Root>
-			{/if}
-
-			{#if hasAudioModality}
-				<DropdownMenu.Item
-					class="audio-button flex cursor-pointer items-center gap-2"
-					onclick={() => onFileUpload?.()}
-				>
-					<FILE_TYPE_ICONS.audio class="h-4 w-4" />
-
-					<span>Audio Files</span>
-				</DropdownMenu.Item>
-			{:else}
-				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
-					<Tooltip.Trigger class="w-full">
-						<DropdownMenu.Item class="audio-button flex cursor-pointer items-center gap-2" disabled>
-							<FILE_TYPE_ICONS.audio class="h-4 w-4" />
-
-							<span>Audio Files</span>
-						</DropdownMenu.Item>
-					</Tooltip.Trigger>
-
-					<Tooltip.Content side="right">
-						<p>Audio files processing requires an audio model</p>
-					</Tooltip.Content>
-				</Tooltip.Root>
-			{/if}
-
-			<DropdownMenu.Item
-				class="flex cursor-pointer items-center gap-2"
-				onclick={() => onFileUpload?.()}
-			>
-				<FILE_TYPE_ICONS.text class="h-4 w-4" />
-
-				<span>Text Files</span>
-			</DropdownMenu.Item>
-
-			{#if hasVisionModality}
-				<DropdownMenu.Item
-					class="flex cursor-pointer items-center gap-2"
-					onclick={() => onFileUpload?.()}
-				>
-					<FILE_TYPE_ICONS.pdf class="h-4 w-4" />
-
-					<span>PDF Files</span>
-				</DropdownMenu.Item>
-			{:else}
-				<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
-					<Tooltip.Trigger class="w-full">
-						<DropdownMenu.Item
-							class="flex cursor-pointer items-center gap-2"
-							onclick={() => onFileUpload?.()}
-						>
-							<FILE_TYPE_ICONS.pdf class="h-4 w-4" />
-
-							<span>PDF Files</span>
-						</DropdownMenu.Item>
-					</Tooltip.Trigger>
-
-					<Tooltip.Content side="right">
-						<p>PDFs will be converted to text. Image-based PDFs may not work properly.</p>
-					</Tooltip.Content>
-				</Tooltip.Root>
-			{/if}
-
-			<Tooltip.Root delayDuration={TOOLTIP_DELAY_DURATION}>
-				<Tooltip.Trigger class="w-full">
-					<DropdownMenu.Item
-						class="flex cursor-pointer items-center gap-2"
-						onclick={() => onSystemPromptClick?.()}
-					>
-						<MessageSquare class="h-4 w-4" />
-
-						<span>System Message</span>
-					</DropdownMenu.Item>
-				</Tooltip.Trigger>
-
-				<Tooltip.Content side="right">
-					<p>{systemMessageTooltip}</p>
-				</Tooltip.Content>
-			</Tooltip.Root>
-
-			<DropdownMenu.Separator />
-
-			<DropdownMenu.Sub onOpenChange={handleMcpSubMenuOpen}>
-				<DropdownMenu.SubTrigger class="flex cursor-pointer items-center gap-2">
-					<McpLogo class="h-4 w-4" />
-
-					<span>MCP Servers</span>
-				</DropdownMenu.SubTrigger>
-
-				<DropdownMenu.SubContent class="w-72 pt-0">
-					<DropdownMenuSearchable
-						placeholder="Search servers..."
-						bind:searchValue={mcpSearchQuery}
-						emptyMessage={hasMcpServers ? 'No servers found' : 'No MCP servers configured'}
-						isEmpty={filteredMcpServers.length === 0}
-					>
-						<div class="max-h-64 overflow-y-auto">
-							{#each filteredMcpServers as server (server.id)}
-								{@const healthState = mcpStore.getHealthCheckState(server.id)}
-								{@const hasError = healthState.status === HealthCheckStatus.ERROR}
-								{@const isEnabledForChat = isServerEnabledForChat(server.id)}
-
-								<button
-									type="button"
-									class="flex w-full items-center justify-between gap-2 rounded-sm px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-not-allowed disabled:opacity-50"
-									onclick={() => !hasError && toggleServerForChat(server.id)}
-									disabled={hasError}
-								>
-									<div class="flex min-w-0 flex-1 items-center gap-2">
-										{#if mcpStore.getServerFavicon(server.id)}
-											<img
-												src={mcpStore.getServerFavicon(server.id)}
-												alt=""
-												class="h-4 w-4 shrink-0 rounded-sm"
-												onerror={(e) => {
-													(e.currentTarget as HTMLImageElement).style.display = 'none';
-												}}
-											/>
-										{/if}
-
-										<span class="truncate text-sm">{getServerLabel(server)}</span>
-
-										{#if hasError}
-											<span
-												class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive"
-											>
-												Error
-											</span>
-										{/if}
-									</div>
-
-									<Switch
-										checked={isEnabledForChat}
-										disabled={hasError}
-										onclick={(e: MouseEvent) => e.stopPropagation()}
-										onCheckedChange={() => toggleServerForChat(server.id)}
-									/>
-								</button>
-							{/each}
-						</div>
-
-						{#snippet footer()}
-							<DropdownMenu.Item
-								class="flex cursor-pointer items-center gap-2"
-								onclick={handleMcpSettingsClick}
-							>
-								<Settings class="h-4 w-4" />
-
-								<span>Manage MCP Servers</span>
-							</DropdownMenu.Item>
-						{/snippet}
-					</DropdownMenuSearchable>
-				</DropdownMenu.SubContent>
-			</DropdownMenu.Sub>
-
-			{#if hasMcpPromptsSupport}
-				<DropdownMenu.Item
-					class="flex cursor-pointer items-center gap-2"
-					onclick={handleMcpPromptClick}
-				>
-					<Zap class="h-4 w-4" />
-
-					<span>MCP Prompt</span>
-				</DropdownMenu.Item>
-			{/if}
-
-			{#if hasMcpResourcesSupport}
-				<DropdownMenu.Item
-					class="flex cursor-pointer items-center gap-2"
-					onclick={handleMcpResourcesClick}
-				>
-					<FolderOpen class="h-4 w-4" />
-
-					<span>MCP Resources</span>
-				</DropdownMenu.Item>
-			{/if}
-		</DropdownMenu.Content>
-	</DropdownMenu.Root>
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte
deleted file mode 100644
index bf643dd7f..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte
+++ /dev/null
@@ -1,170 +0,0 @@
-<script lang="ts">
-	import { Plus, MessageSquare, Zap, FolderOpen } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import * as Sheet from '$lib/components/ui/sheet';
-	import { FILE_TYPE_ICONS } from '$lib/constants';
-	import { McpLogo } from '$lib/components/app';
-
-	interface Props {
-		class?: string;
-		disabled?: boolean;
-		hasAudioModality?: boolean;
-		hasVisionModality?: boolean;
-		hasMcpPromptsSupport?: boolean;
-		hasMcpResourcesSupport?: boolean;
-		onFileUpload?: () => void;
-		onSystemPromptClick?: () => void;
-		onMcpPromptClick?: () => void;
-		onMcpSettingsClick?: () => void;
-		onMcpResourcesClick?: () => void;
-	}
-
-	let {
-		class: className = '',
-		disabled = false,
-		hasAudioModality = false,
-		hasVisionModality = false,
-		hasMcpPromptsSupport = false,
-		hasMcpResourcesSupport = false,
-		onFileUpload,
-		onSystemPromptClick,
-		onMcpPromptClick,
-		onMcpSettingsClick,
-		onMcpResourcesClick
-	}: Props = $props();
-
-	let sheetOpen = $state(false);
-
-	function handleMcpPromptClick() {
-		sheetOpen = false;
-		onMcpPromptClick?.();
-	}
-
-	function handleMcpSettingsClick() {
-		onMcpSettingsClick?.();
-	}
-
-	function handleMcpResourcesClick() {
-		sheetOpen = false;
-		onMcpResourcesClick?.();
-	}
-
-	function handleSheetFileUpload() {
-		sheetOpen = false;
-		onFileUpload?.();
-	}
-
-	function handleSheetSystemPromptClick() {
-		sheetOpen = false;
-		onSystemPromptClick?.();
-	}
-
-	const fileUploadTooltipText = 'Add files, system prompt or MCP Servers';
-
-	const sheetItemClass =
-		'flex w-full items-center gap-3 rounded-md px-3 py-2.5 text-left text-sm transition-colors hover:bg-accent active:bg-accent disabled:cursor-not-allowed disabled:opacity-50';
-</script>
-
-<div class="flex items-center gap-1 {className}">
-	<Sheet.Root bind:open={sheetOpen}>
-		<Button
-			class="file-upload-button h-8 w-8 rounded-full p-0"
-			{disabled}
-			variant="secondary"
-			type="button"
-			onclick={() => (sheetOpen = true)}
-		>
-			<span class="sr-only">{fileUploadTooltipText}</span>
-
-			<Plus class="h-4 w-4" />
-		</Button>
-
-		<Sheet.Content side="bottom" class="max-h-[85vh] gap-0">
-			<Sheet.Header>
-				<Sheet.Title>Add to chat</Sheet.Title>
-
-				<Sheet.Description class="sr-only">
-					Add files, system prompt or configure MCP servers
-				</Sheet.Description>
-			</Sheet.Header>
-
-			<div class="flex flex-col gap-1 overflow-y-auto px-1.5 pb-2">
-				<!-- Images -->
-				<button
-					type="button"
-					class={sheetItemClass}
-					disabled={!hasVisionModality}
-					onclick={handleSheetFileUpload}
-				>
-					<FILE_TYPE_ICONS.image class="h-4 w-4 shrink-0" />
-
-					<span>Images</span>
-
-					{#if !hasVisionModality}
-						<span class="ml-auto text-xs text-muted-foreground">Requires vision model</span>
-					{/if}
-				</button>
-
-				<!-- Audio -->
-				<button
-					type="button"
-					class={sheetItemClass}
-					disabled={!hasAudioModality}
-					onclick={handleSheetFileUpload}
-				>
-					<FILE_TYPE_ICONS.audio class="h-4 w-4 shrink-0" />
-
-					<span>Audio Files</span>
-
-					{#if !hasAudioModality}
-						<span class="ml-auto text-xs text-muted-foreground">Requires audio model</span>
-					{/if}
-				</button>
-
-				<button type="button" class={sheetItemClass} onclick={handleSheetFileUpload}>
-					<FILE_TYPE_ICONS.text class="h-4 w-4 shrink-0" />
-
-					<span>Text Files</span>
-				</button>
-
-				<button type="button" class={sheetItemClass} onclick={handleSheetFileUpload}>
-					<FILE_TYPE_ICONS.pdf class="h-4 w-4 shrink-0" />
-
-					<span>PDF Files</span>
-
-					{#if !hasVisionModality}
-						<span class="ml-auto text-xs text-muted-foreground">Text-only</span>
-					{/if}
-				</button>
-
-				<button type="button" class={sheetItemClass} onclick={handleSheetSystemPromptClick}>
-					<MessageSquare class="h-4 w-4 shrink-0" />
-
-					<span>System Message</span>
-				</button>
-
-				<button type="button" class={sheetItemClass} onclick={handleMcpSettingsClick}>
-					<McpLogo class="h-4 w-4 shrink-0" />
-
-					<span>MCP Servers</span>
-				</button>
-
-				{#if hasMcpPromptsSupport}
-					<button type="button" class={sheetItemClass} onclick={handleMcpPromptClick}>
-						<Zap class="h-4 w-4 shrink-0" />
-
-						<span>MCP Prompt</span>
-					</button>
-				{/if}
-
-				{#if hasMcpResourcesSupport}
-					<button type="button" class={sheetItemClass} onclick={handleMcpResourcesClick}>
-						<FolderOpen class="h-4 w-4 shrink-0" />
-
-						<span>MCP Resources</span>
-					</button>
-				{/if}
-			</div>
-		</Sheet.Content>
-	</Sheet.Root>
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte
new file mode 100644
index 000000000..bdd84a481
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionModels.svelte
@@ -0,0 +1,160 @@
+<script lang="ts">
+	import { chatStore } from '$lib/stores/chat.svelte';
+	import { modelsStore, modelOptions, selectedModelId } from '$lib/stores/models.svelte';
+	import { isRouterMode, serverError } from '$lib/stores/server.svelte';
+	import { ModelsSelectorDropdown, ModelsSelectorSheet } from '$lib/components/app';
+	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
+	import { activeMessages } from '$lib/stores/conversations.svelte';
+
+	interface Props {
+		currentModel?: string;
+		disabled?: boolean;
+		forceForegroundText?: boolean;
+		hasAudioModality?: boolean;
+		hasVisionModality?: boolean;
+		hasModelSelected?: boolean;
+		isSelectedModelInCache?: boolean;
+		submitTooltip?: string;
+		useGlobalSelection?: boolean;
+	}
+
+	let {
+		currentModel,
+		disabled = false,
+		forceForegroundText = false,
+		hasAudioModality = $bindable(false),
+		hasVisionModality = $bindable(false),
+		hasModelSelected = $bindable(false),
+		isSelectedModelInCache = $bindable(true),
+		submitTooltip = $bindable(''),
+		useGlobalSelection = false
+	}: Props = $props();
+
+	let isRouter = $derived(isRouterMode());
+	let isOffline = $derived(!!serverError());
+
+	let conversationModel = $derived(
+		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
+	);
+
+	let lastSyncedConversationModel: string | null = null;
+
+	$effect(() => {
+		if (conversationModel && conversationModel !== lastSyncedConversationModel) {
+			lastSyncedConversationModel = conversationModel;
+
+			modelsStore.selectModelByName(conversationModel);
+		} else if (isRouter && !modelsStore.selectedModelId && modelsStore.loadedModelIds.length > 0) {
+			lastSyncedConversationModel = null;
+			// auto-select the first loaded model only when nothing is selected yet
+			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
+
+			if (first) modelsStore.selectModelById(first.id);
+		}
+	});
+
+	let activeModelId = $derived.by(() => {
+		const options = modelOptions();
+
+		if (!isRouter) {
+			return options.length > 0 ? options[0].model : null;
+		}
+
+		const selectedId = selectedModelId();
+
+		if (selectedId) {
+			const model = options.find((m) => m.id === selectedId);
+
+			if (model) return model.model;
+		}
+
+		if (conversationModel) {
+			const model = options.find((m) => m.model === conversationModel);
+
+			if (model) return model.model;
+		}
+
+		return null;
+	});
+
+	let modelPropsVersion = $state(0); // Used to trigger reactivity after fetch
+
+	$effect(() => {
+		if (activeModelId) {
+			const cached = modelsStore.getModelProps(activeModelId);
+
+			if (!cached) {
+				modelsStore.fetchModelProps(activeModelId).then(() => {
+					modelPropsVersion++;
+				});
+			}
+		}
+	});
+
+	$effect(() => {
+		hasAudioModality = activeModelId ? modelsStore.modelSupportsAudio(activeModelId) : false;
+	});
+
+	$effect(() => {
+		void modelPropsVersion;
+
+		hasVisionModality = activeModelId ? modelsStore.modelSupportsVision(activeModelId) : false;
+	});
+
+	$effect(() => {
+		hasModelSelected = !isRouter || !!conversationModel || !!selectedModelId();
+	});
+
+	$effect(() => {
+		if (!isRouter) {
+			isSelectedModelInCache = true;
+		} else if (conversationModel) {
+			isSelectedModelInCache = modelOptions().some((option) => option.model === conversationModel);
+		} else {
+			const currentModelId = selectedModelId();
+
+			if (!currentModelId) {
+				isSelectedModelInCache = false;
+			} else {
+				isSelectedModelInCache = modelOptions().some((option) => option.id === currentModelId);
+			}
+		}
+	});
+
+	$effect(() => {
+		if (!hasModelSelected) {
+			submitTooltip = 'Please select a model first';
+		} else if (!isSelectedModelInCache) {
+			submitTooltip = 'Selected model is not available, please select another';
+		} else {
+			submitTooltip = '';
+		}
+	});
+
+	let selectorModelRef: ModelsSelectorDropdown | ModelsSelectorSheet | undefined =
+		$state(undefined);
+
+	let isMobile = new IsMobile();
+
+	export function open() {
+		selectorModelRef?.open();
+	}
+</script>
+
+{#if isMobile.current}
+	<ModelsSelectorSheet
+		disabled={disabled || isOffline}
+		bind:this={selectorModelRef}
+		{currentModel}
+		{forceForegroundText}
+		{useGlobalSelection}
+	/>
+{:else}
+	<ModelsSelectorDropdown
+		disabled={disabled || isOffline}
+		bind:this={selectorModelRef}
+		{currentModel}
+		{forceForegroundText}
+		{useGlobalSelection}
+	/>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte
index 861cd182e..8774bf63a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActionSubmit.svelte
@@ -2,37 +2,28 @@
 	import { ArrowUp } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import * as Tooltip from '$lib/components/ui/tooltip';
-	import { cn } from '$lib/components/ui/utils';
 
 	interface Props {
 		canSend?: boolean;
 		disabled?: boolean;
-		isLoading?: boolean;
 		showErrorState?: boolean;
 		tooltipLabel?: string;
 	}
 
-	let {
-		canSend = false,
-		disabled = false,
-		isLoading = false,
-		showErrorState = false,
-		tooltipLabel
-	}: Props = $props();
+	let { canSend = false, disabled = false, showErrorState = false, tooltipLabel }: Props = $props();
 
-	let isDisabled = $derived(!canSend || disabled || isLoading);
+	let isDisabled = $derived(!canSend || disabled);
 </script>
 
 {#snippet submitButton(props = {})}
 	<Button
 		type="submit"
 		disabled={isDisabled}
-		class={cn(
+		class={[
 			'h-8 w-8 rounded-full p-0',
-			showErrorState
-				? 'bg-red-400/10 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100'
-				: ''
-		)}
+			showErrorState &&
+				'bg-red-400/10 text-red-400 hover:bg-red-400/20 hover:text-red-400 disabled:opacity-100'
+		]}
 		{...props}
 	>
 		<span class="sr-only">Send</span>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
index 95c3c5da1..e555f1b43 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormActions/ChatFormActions.svelte
@@ -2,33 +2,27 @@
 	import { Square } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import {
-		ChatFormActionAttachmentsDropdown,
-		ChatFormActionAttachmentsSheet,
+		ChatFormActionsAdd,
+		ChatFormActionModels,
 		ChatFormActionRecord,
-		ChatFormActionSubmit,
-		McpServersSelector,
-		ModelsSelector,
-		ModelsSelectorSheet
+		ChatFormActionSubmit
 	} from '$lib/components/app';
-	import { SETTINGS_SECTION_TITLES } from '$lib/constants';
-	import { mcpStore } from '$lib/stores/mcp.svelte';
-	import { getChatSettingsDialogContext } from '$lib/contexts';
 	import { FileTypeCategory } from '$lib/enums';
-	import { getFileTypeCategory } from '$lib/utils';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { modelsStore, modelOptions, selectedModelId } from '$lib/stores/models.svelte';
-	import { isRouterMode, serverError } from '$lib/stores/server.svelte';
-	import { chatStore } from '$lib/stores/chat.svelte';
-	import { activeMessages, conversationsStore } from '$lib/stores/conversations.svelte';
-	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { getFileTypeCategory } from '$lib/utils';
+	import { goto } from '$app/navigation';
 
 	interface Props {
 		canSend?: boolean;
+		canSubmit?: boolean;
 		class?: string;
 		disabled?: boolean;
 		isLoading?: boolean;
 		isRecording?: boolean;
-		hasText?: boolean;
+		showAddButton?: boolean;
+		showModelSelector?: boolean;
 		uploadedFiles?: ChatUploadedFile[];
 		onFileUpload?: () => void;
 		onMicClick?: () => void;
@@ -40,11 +34,13 @@
 
 	let {
 		canSend = false,
+		canSubmit = false,
 		class: className = '',
 		disabled = false,
 		isLoading = false,
 		isRecording = false,
-		hasText = false,
+		showAddButton = true,
+		showModelSelector = true,
 		uploadedFiles = [],
 		onFileUpload,
 		onMicClick,
@@ -55,152 +51,46 @@
 	}: Props = $props();
 
 	let currentConfig = $derived(config());
-	let isRouter = $derived(isRouterMode());
-	let isOffline = $derived(!!serverError());
-
-	let conversationModel = $derived(
-		chatStore.getConversationModel(activeMessages() as DatabaseMessage[])
-	);
-
-	$effect(() => {
-		if (conversationModel) {
-			modelsStore.selectModelByName(conversationModel);
-		} else if (isRouter && !modelsStore.selectedModelId && modelsStore.loadedModelIds.length > 0) {
-			// auto-select the first loaded model only when nothing is selected yet
-			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
-			if (first) modelsStore.selectModelById(first.id);
-		}
-	});
 
-	let activeModelId = $derived.by(() => {
-		const options = modelOptions();
-
-		if (!isRouter) {
-			return options.length > 0 ? options[0].model : null;
-		}
-
-		const selectedId = selectedModelId();
-		if (selectedId) {
-			const model = options.find((m) => m.id === selectedId);
-			if (model) return model.model;
-		}
-
-		if (conversationModel) {
-			const model = options.find((m) => m.model === conversationModel);
-			if (model) return model.model;
-		}
-
-		return null;
-	});
-
-	let modelPropsVersion = $state(0); // Used to trigger reactivity after fetch
-
-	$effect(() => {
-		if (activeModelId) {
-			const cached = modelsStore.getModelProps(activeModelId);
+	let hasMcpPromptsSupport = $derived.by(() => {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
 
-			if (!cached) {
-				modelsStore.fetchModelProps(activeModelId).then(() => {
-					modelPropsVersion++;
-				});
-			}
-		}
+		return mcpStore.hasPromptsCapability(perChatOverrides);
 	});
 
-	let hasAudioModality = $derived.by(() => {
-		if (activeModelId) {
-			void modelPropsVersion;
-
-			return modelsStore.modelSupportsAudio(activeModelId);
-		}
+	let hasMcpResourcesSupport = $derived.by(() => {
+		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
 
-		return false;
+		return mcpStore.hasResourcesCapability(perChatOverrides);
 	});
 
-	let hasVisionModality = $derived.by(() => {
-		if (activeModelId) {
-			void modelPropsVersion;
-
-			return modelsStore.modelSupportsVision(activeModelId);
-		}
-
-		return false;
-	});
+	let hasAudioModality = $state(false);
+	let hasVisionModality = $state(false);
+	let hasModelSelected = $state(false);
+	let isSelectedModelInCache = $state(true);
+	let submitTooltip = $state('');
 
 	let hasAudioAttachments = $derived(
 		uploadedFiles.some((file) => getFileTypeCategory(file.type) === FileTypeCategory.AUDIO)
 	);
 	let shouldShowRecordButton = $derived(
-		hasAudioModality && !hasText && !hasAudioAttachments && currentConfig.autoMicOnEmpty
+		hasAudioModality && !canSubmit && !hasAudioAttachments && currentConfig.autoMicOnEmpty
 	);
 
-	let hasModelSelected = $derived(!isRouter || !!conversationModel || !!selectedModelId());
-
-	let isSelectedModelInCache = $derived.by(() => {
-		if (!isRouter) return true;
-
-		if (conversationModel) {
-			return modelOptions().some((option) => option.model === conversationModel);
-		}
-
-		const currentModelId = selectedModelId();
-		if (!currentModelId) return false;
-
-		return modelOptions().some((option) => option.id === currentModelId);
-	});
-
-	let submitTooltip = $derived.by(() => {
-		if (!hasModelSelected) {
-			return 'Please select a model first';
-		}
-
-		if (!isSelectedModelInCache) {
-			return 'Selected model is not available, please select another';
-		}
-
-		return '';
-	});
-
-	let selectorModelRef: ModelsSelector | ModelsSelectorSheet | undefined = $state(undefined);
-
-	let isMobile = new IsMobile();
+	let selectorModelRef: ChatFormActionModels | undefined = $state(undefined);
 
 	export function openModelSelector() {
 		selectorModelRef?.open();
 	}
-
-	const chatSettingsDialog = getChatSettingsDialogContext();
-
-	let hasMcpPromptsSupport = $derived.by(() => {
-		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
-
-		return mcpStore.hasPromptsCapability(perChatOverrides);
-	});
-
-	let hasMcpResourcesSupport = $derived.by(() => {
-		const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
-
-		return mcpStore.hasResourcesCapability(perChatOverrides);
-	});
 </script>
 
-<div class="flex w-full items-center gap-3 {className}" style="container-type: inline-size">
-	<div class="mr-auto flex items-center gap-2">
-		{#if isMobile.current}
-			<ChatFormActionAttachmentsSheet
-				{disabled}
-				{hasAudioModality}
-				{hasVisionModality}
-				{hasMcpPromptsSupport}
-				{hasMcpResourcesSupport}
-				{onFileUpload}
-				{onSystemPromptClick}
-				{onMcpPromptClick}
-				{onMcpResourcesClick}
-				onMcpSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
-			/>
-		{:else}
-			<ChatFormActionAttachmentsDropdown
+<div
+	class="flex w-full items-center gap-3 {className} {showAddButton ? '' : 'justify-end'}"
+	style="container-type: inline-size"
+>
+	{#if showAddButton}
+		<div class="mr-auto flex items-center gap-2">
+			<ChatFormActionsAdd
 				{disabled}
 				{hasAudioModality}
 				{hasVisionModality}
@@ -210,37 +100,26 @@
 				{onSystemPromptClick}
 				{onMcpPromptClick}
 				{onMcpResourcesClick}
-				onMcpSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
+				onMcpSettingsClick={() => goto('#/settings/mcp')}
 			/>
-		{/if}
+		</div>
+	{/if}
 
-		<McpServersSelector
+	{#if showModelSelector}
+		<ChatFormActionModels
 			{disabled}
-			onSettingsClick={() => chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP)}
+			bind:this={selectorModelRef}
+			bind:hasAudioModality
+			bind:hasVisionModality
+			bind:hasModelSelected
+			bind:isSelectedModelInCache
+			bind:submitTooltip
+			forceForegroundText
+			useGlobalSelection
 		/>
-	</div>
-
-	<div class="ml-auto flex items-center gap-1.5">
-		{#if isMobile.current}
-			<ModelsSelectorSheet
-				disabled={disabled || isOffline}
-				bind:this={selectorModelRef}
-				currentModel={conversationModel}
-				forceForegroundText
-				useGlobalSelection
-			/>
-		{:else}
-			<ModelsSelector
-				disabled={disabled || isOffline}
-				bind:this={selectorModelRef}
-				currentModel={conversationModel}
-				forceForegroundText
-				useGlobalSelection
-			/>
-		{/if}
-	</div>
+	{/if}
 
-	{#if isLoading}
+	{#if isLoading && !canSubmit}
 		<Button
 			type="button"
 			variant="secondary"
@@ -257,11 +136,10 @@
 		<ChatFormActionRecord {disabled} {hasAudioModality} {isLoading} {isRecording} {onMicClick} />
 	{:else}
 		<ChatFormActionSubmit
-			canSend={canSend && hasModelSelected && isSelectedModelInCache}
+			canSend={canSend && (showModelSelector ? hasModelSelected && isSelectedModelInCache : true)}
 			{disabled}
-			{isLoading}
 			tooltipLabel={submitTooltip}
-			showErrorState={hasModelSelected && !isSelectedModelInCache}
+			showErrorState={showModelSelector && hasModelSelected && !isSelectedModelInCache}
 		/>
 	{/if}
 </div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte
index d758822f3..395ecb201 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormFileInputInvisible.svelte
@@ -15,6 +15,7 @@
 
 	function handleFileSelect(event: Event) {
 		const input = event.target as HTMLInputElement;
+
 		if (input.files) {
 			onFileSelect?.(Array.from(input.files));
 		}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
deleted file mode 100644
index a8f1f76c7..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormHelperText.svelte
+++ /dev/null
@@ -1,17 +0,0 @@
-<script lang="ts">
-	interface Props {
-		class?: string;
-		show?: boolean;
-	}
-
-	let { class: className = '', show = true }: Props = $props();
-</script>
-
-{#if show}
-	<div class="mt-6 items-center justify-center {className} hidden md:flex">
-		<p class="text-xs text-muted-foreground">
-			Press <kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Enter</kbd> to send,
-			<kbd class="rounded bg-muted px-1 py-0.5 font-mono text-xs">Shift + Enter</kbd> for new line
-		</p>
-	</div>
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte
similarity index 81%
rename from tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte
index 341bf32c0..36c82224a 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatAttachments/ChatAttachmentMcpResources.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormMcpResourcesList.svelte
@@ -4,7 +4,10 @@
 		mcpResourceAttachments,
 		mcpHasResourceAttachments
 	} from '$lib/stores/mcp-resources.svelte';
-	import { ChatAttachmentMcpResource, HorizontalScrollCarousel } from '$lib/components/app';
+	import {
+		ChatAttachmentsListItemMcpResource,
+		HorizontalScrollCarousel
+	} from '$lib/components/app';
 
 	interface Props {
 		class?: string;
@@ -29,11 +32,11 @@
 	<div class={className}>
 		<HorizontalScrollCarousel gapSize="2">
 			{#each attachments as attachment, i (attachment.id)}
-				<ChatAttachmentMcpResource
+				<ChatAttachmentsListItemMcpResource
 					class={i === 0 ? 'ml-3' : ''}
 					{attachment}
 					onRemove={handleRemove}
-					onClick={() => handleResourceClick(attachment.resource.uri)}
+					onclick={() => handleResourceClick(attachment.resource.uri)}
 				/>
 			{/each}
 		</HorizontalScrollCarousel>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte
similarity index 96%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte
index 1a95cd7f6..6647928b2 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerList.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte
@@ -60,8 +60,7 @@
 
 	<div
 		bind:this={listContainer}
-		class="{CHAT_FORM_POPOVER_MAX_HEIGHT} p-2"
-		class:pt-13={showSearchInput}
+		class={[`${CHAT_FORM_POPOVER_MAX_HEIGHT} p-2`, showSearchInput && 'pt-13']}
 	>
 		{#if isLoading}
 			{#if skeleton}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte
similarity index 79%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte
index d232d66c1..4d82c6b58 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte
@@ -3,18 +3,18 @@
 
 	interface Props {
 		isSelected?: boolean;
-		onClick: () => void;
+		onclick: () => void;
 		dataIndex?: number;
 		children: Snippet;
 	}
 
-	let { isSelected = false, onClick, dataIndex, children }: Props = $props();
+	let { isSelected = false, onclick, dataIndex, children }: Props = $props();
 </script>
 
 <button
 	type="button"
 	data-picker-index={dataIndex}
-	onclick={onClick}
+	{onclick}
 	class="flex w-full cursor-pointer items-start gap-3 rounded-lg px-3 py-2 text-left hover:bg-accent/50 {isSelected
 		? 'bg-accent/50'
 		: ''}"
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerPopover.svelte
similarity index 83%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerPopover.svelte
index 9957085fe..c43a002e6 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickerPopover.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerPopover.svelte
@@ -29,7 +29,11 @@
 		}
 	}}
 >
-	<Popover.Trigger class="pointer-events-none absolute inset-0 opacity-0">
+	<Popover.Trigger
+		class="pointer-events-none absolute inset-0 opacity-0"
+		tabindex={-1}
+		aria-hidden="true"
+	>
 		<span class="sr-only">{srLabel}</span>
 	</Popover.Trigger>
 
@@ -39,7 +43,7 @@
 		sideOffset={12}
 		class="w-[var(--bits-popover-anchor-width)] max-w-none rounded-xl border-border/50 p-0 shadow-xl {className}"
 		onkeydown={onKeydown}
-		onOpenAutoFocus={(e) => e.preventDefault()}
+		onOpenAutoFocus={(event) => event.preventDefault()}
 	>
 		{@render children()}
 	</Popover.Content>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte
index 12d4860ad..567fdac47 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte
@@ -5,7 +5,6 @@
 	import { KeyboardKey } from '$lib/enums';
 	import type { MCPPromptInfo, GetPromptResult, MCPServerSettingsEntry } from '$lib/types';
 	import { SvelteMap } from 'svelte/reactivity';
-	import Badge from '$lib/components/ui/badge/badge.svelte';
 	import {
 		ChatFormPickerPopover,
 		ChatFormPickerList,
@@ -14,6 +13,7 @@
 		ChatFormPickerListItemSkeleton,
 		ChatFormPromptPickerArgumentForm
 	} from '$lib/components/app/chat';
+	import Badge from '$lib/components/ui/badge/badge.svelte';
 
 	interface Props {
 		class?: string;
@@ -97,7 +97,7 @@
 
 			prompts = await mcpStore.getAllPrompts();
 		} catch (error) {
-			console.error('[ChatFormPromptPicker] Failed to load prompts:', error);
+			console.error('[ChatFormPickerMcpPrompts] Failed to load prompts:', error);
 			prompts = [];
 		} finally {
 			isLoading = false;
@@ -163,7 +163,7 @@
 		}
 
 		if (import.meta.env.DEV) {
-			console.log('[ChatFormPromptPicker] Fetching completions for:', {
+			console.log('[ChatFormPickerMcpPrompts] Fetching completions for:', {
 				serverName: selectedPrompt.serverName,
 				promptName: selectedPrompt.name,
 				argName,
@@ -182,7 +182,7 @@
 			);
 
 			if (import.meta.env.DEV) {
-				console.log('[ChatFormPromptPicker] Autocomplete result:', {
+				console.log('[ChatFormPickerMcpPrompts] Autocomplete result:', {
 					argName,
 					value,
 					result,
@@ -205,7 +205,7 @@
 				suggestions[argName] = [];
 			}
 		} catch (error) {
-			console.error('[ChatFormPromptPicker] Failed to fetch completions:', error);
+			console.error('[ChatFormPickerMcpPrompts] Failed to fetch completions:', error);
 			suggestions[argName] = [];
 		} finally {
 			loadingSuggestions[argName] = false;
@@ -408,7 +408,7 @@
 				<ChatFormPickerListItem
 					dataIndex={index}
 					{isSelected}
-					onClick={() => handlePromptClick(prompt)}
+					onclick={() => handlePromptClick(prompt)}
 				>
 					<ChatFormPickerItemHeader
 						{server}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentForm.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentForm.svelte
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentInput.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentInput.svelte
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpResources.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpResources.svelte
index 5c2a945d3..1125ae8ec 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickerMcpResources.svelte
@@ -67,7 +67,6 @@
 
 		try {
 			const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
-
 			const initialized = await mcpStore.ensureInitialized(perChatOverrides);
 
 			if (!initialized) {
@@ -79,7 +78,7 @@
 			await mcpStore.fetchAllResources();
 			resources = mcpResourceStore.getAllResourceInfos();
 		} catch (error) {
-			console.error('[ChatFormResourcePicker] Failed to load resources:', error);
+			console.error('[ChatFormPickerMcpResources] Failed to load resources:', error);
 			resources = [];
 		} finally {
 			isLoading = false;
@@ -88,6 +87,7 @@
 
 	function handleResourceClick(resource: MCPResourceInfo) {
 		mcpStore.attachResource(resource.uri);
+
 		onResourceSelect?.(resource);
 		onClose?.();
 	}
@@ -144,6 +144,7 @@
 		const sortedResources = [...resources].sort((a, b) => {
 			const orderA = serverOrderMap.get(a.serverName) ?? Number.MAX_SAFE_INTEGER;
 			const orderB = serverOrderMap.get(b.serverName) ?? Number.MAX_SAFE_INTEGER;
+
 			return orderA - orderB;
 		});
 
@@ -186,7 +187,7 @@
 			<ChatFormPickerListItem
 				dataIndex={index}
 				{isSelected}
-				onClick={() => handleResourceClick(resource)}
+				onclick={() => handleResourceClick(resource)}
 			>
 				<ChatFormPickerItemHeader
 					{server}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickers.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickers.svelte
new file mode 100644
index 000000000..7c5dc85b2
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormPickers/ChatFormPickers.svelte
@@ -0,0 +1,75 @@
+<script lang="ts">
+	import ChatFormPickerMcpPrompts from './ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte';
+	import ChatFormPickerMcpResources from './ChatFormPickerMcpResources.svelte';
+	import type { GetPromptResult, MCPPromptInfo } from '$lib/types';
+
+	interface Props {
+		isPromptPickerOpen?: boolean;
+		promptSearchQuery?: string;
+		isInlineResourcePickerOpen?: boolean;
+		resourceSearchQuery?: string;
+		onPromptPickerClose?: () => void;
+		onInlineResourcePickerClose?: () => void;
+		onInlineResourceSelect?: () => void;
+		onPromptLoadStart?: (
+			placeholderId: string,
+			promptInfo: MCPPromptInfo,
+			args?: Record<string, string>
+		) => void;
+		onPromptLoadComplete?: (placeholderId: string, result: GetPromptResult) => void;
+		onPromptLoadError?: (placeholderId: string, error: string) => void;
+		onInlineResourceBrowse?: () => void;
+	}
+
+	let {
+		isPromptPickerOpen,
+		promptSearchQuery,
+		isInlineResourcePickerOpen,
+		resourceSearchQuery,
+		onPromptPickerClose,
+		onInlineResourcePickerClose,
+		onInlineResourceSelect,
+		onPromptLoadStart,
+		onPromptLoadComplete,
+		onPromptLoadError,
+		onInlineResourceBrowse
+	}: Props = $props();
+
+	let promptPickerRef: ChatFormPickerMcpPrompts | undefined = $state(undefined);
+	let resourcePickerRef: ChatFormPickerMcpResources | undefined = $state(undefined);
+
+	/**
+	 * Delegates keyboard events to the active picker child.
+	 * Returns true if the event was handled.
+	 */
+	export function handleKeydown(event: KeyboardEvent): boolean {
+		if (isPromptPickerOpen && promptPickerRef?.handleKeydown(event)) {
+			return true;
+		}
+
+		if (isInlineResourcePickerOpen && resourcePickerRef?.handleKeydown(event)) {
+			return true;
+		}
+
+		return false;
+	}
+</script>
+
+<ChatFormPickerMcpPrompts
+	bind:this={promptPickerRef}
+	isOpen={isPromptPickerOpen}
+	searchQuery={promptSearchQuery}
+	onClose={onPromptPickerClose}
+	{onPromptLoadStart}
+	{onPromptLoadComplete}
+	{onPromptLoadError}
+/>
+
+<ChatFormPickerMcpResources
+	bind:this={resourcePickerRef}
+	isOpen={isInlineResourcePickerOpen}
+	searchQuery={resourceSearchQuery}
+	onClose={onInlineResourcePickerClose}
+	onResourceSelect={onInlineResourceSelect}
+	onBrowse={onInlineResourceBrowse}
+/>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
index 86c182acd..72e62f319 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatForm/ChatFormTextarea.svelte
@@ -51,8 +51,10 @@
 	<textarea
 		bind:this={textareaElement}
 		bind:value
-		class="text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0"
-		class:cursor-not-allowed={disabled}
+		class={[
+			'text-md min-h-12 w-full resize-none border-0 bg-transparent p-0 leading-6 outline-none placeholder:text-muted-foreground focus-visible:ring-0 focus-visible:ring-offset-0',
+			disabled && 'cursor-not-allowed'
+		]}
 		style="max-height: var(--max-message-height);"
 		{disabled}
 		onkeydown={onKeydown}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessage.svelte
similarity index 61%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessage.svelte
index deb393a4b..c593558a5 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessage.svelte
@@ -1,12 +1,13 @@
 <script lang="ts">
 	import { goto } from '$app/navigation';
-	import { base } from '$app/paths';
 	import { getChatActionsContext, setMessageEditContext } from '$lib/contexts';
 	import { chatStore, pendingEditMessageId } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
 	import { DatabaseService } from '$lib/services/database.service';
 	import { SYSTEM_MESSAGE_PLACEHOLDER } from '$lib/constants';
-	import { MessageRole, AttachmentType } from '$lib/enums';
+	import { REASONING_TAGS } from '$lib/constants/agentic';
+	import { MessageRole, AttachmentType, AgenticSectionType } from '$lib/enums';
+	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
 	import {
 		ChatMessageAssistant,
 		ChatMessageUser,
@@ -14,6 +15,7 @@
 		ChatMessageMcpPrompt
 	} from '$lib/components/app/chat';
 	import { parseFilesToMessageExtras } from '$lib/utils/browser-only';
+	import { deriveAgenticSections } from '$lib/utils';
 	import type { DatabaseMessageExtraMcpPrompt } from '$lib/types';
 
 	interface Props {
@@ -41,6 +43,50 @@
 		messageTypes: string[];
 	} | null>(null);
 	let editedContent = $derived(message.content);
+
+	let rawEditContent = $derived.by(() => {
+		if (message.role !== MessageRole.ASSISTANT) return undefined;
+
+		const sections = deriveAgenticSections(message, toolMessages, [], false);
+		const parts: string[] = [];
+
+		for (const section of sections) {
+			switch (section.type) {
+				case AgenticSectionType.REASONING:
+				case AgenticSectionType.REASONING_PENDING:
+					parts.push(`${REASONING_TAGS.START}\n${section.content}\n${REASONING_TAGS.END}`);
+					break;
+
+				case AgenticSectionType.TEXT:
+					parts.push(section.content);
+					break;
+
+				case AgenticSectionType.TOOL_CALL:
+				case AgenticSectionType.TOOL_CALL_PENDING:
+				case AgenticSectionType.TOOL_CALL_STREAMING: {
+					const callObj: Record<string, unknown> = { name: section.toolName };
+
+					if (section.toolArgs) {
+						try {
+							callObj.arguments = JSON.parse(section.toolArgs);
+						} catch {
+							callObj.arguments = section.toolArgs;
+						}
+					}
+
+					parts.push(JSON.stringify(callObj, null, 2));
+
+					if (section.toolResult) {
+						parts.push(`[Tool Result]\n${section.toolResult}`);
+					}
+
+					break;
+				}
+			}
+		}
+
+		return parts.join('\n\n\n');
+	});
 	let editedExtras = $derived<DatabaseMessageExtra[]>(message.extra ? [...message.extra] : []);
 	let editedUploadedFiles = $state<ChatUploadedFile[]>([]);
 	let isEditing = $state(false);
@@ -49,6 +95,7 @@
 	let textareaElement: HTMLTextAreaElement | undefined = $state();
 
 	let showSaveOnlyOption = $derived(message.role === MessageRole.USER);
+	let showBranchAfterEditOption = $derived(message.role === MessageRole.ASSISTANT);
 
 	setMessageEditContext({
 		get isEditing() {
@@ -64,7 +111,9 @@
 			return editedUploadedFiles;
 		},
 		get originalContent() {
-			return message.content;
+			return message.role === MessageRole.ASSISTANT
+				? (rawEditContent ?? message.content)
+				: message.content;
 		},
 		get originalExtras() {
 			return message.extra || [];
@@ -72,6 +121,18 @@
 		get showSaveOnlyOption() {
 			return showSaveOnlyOption;
 		},
+		get showBranchAfterEditOption() {
+			return showBranchAfterEditOption;
+		},
+		get shouldBranchAfterEdit() {
+			return shouldBranchAfterEdit;
+		},
+		get messageRole() {
+			return message.role;
+		},
+		get rawEditContent() {
+			return rawEditContent;
+		},
 		setContent: (content: string) => {
 			editedContent = content;
 		},
@@ -81,6 +142,9 @@
 		setUploadedFiles: (files: ChatUploadedFile[]) => {
 			editedUploadedFiles = files;
 		},
+		setShouldBranchAfterEdit: (value: boolean) => {
+			shouldBranchAfterEdit = value;
+		},
 		save: handleSaveEdit,
 		saveOnly: handleSaveEditOnly,
 		cancel: handleCancelEdit,
@@ -118,13 +182,16 @@
 			const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
 
 			if (conversationDeleted) {
-				goto(`${base}/`);
+				goto(`#/`);
 			}
 
 			return;
 		}
 
-		editedContent = message.content;
+		editedContent =
+			message.role === MessageRole.ASSISTANT
+				? rawEditContent || message.content || ''
+				: message.content;
 		editedExtras = message.extra ? [...message.extra] : [];
 		editedUploadedFiles = [];
 	}
@@ -138,7 +205,7 @@
 			const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
 
 			if (conversationDeleted) {
-				goto(`${base}/`);
+				goto(`#/`);
 			}
 		} else {
 			chatActions.delete(message);
@@ -155,10 +222,14 @@
 	function handleEdit() {
 		isEditing = true;
 		// Clear temporary placeholder content for system messages
-		editedContent =
-			message.role === MessageRole.SYSTEM && message.content === SYSTEM_MESSAGE_PLACEHOLDER
-				? ''
-				: message.content;
+		if (message.role === MessageRole.SYSTEM && message.content === SYSTEM_MESSAGE_PLACEHOLDER) {
+			editedContent = '';
+		} else if (message.role === MessageRole.ASSISTANT) {
+			editedContent = rawEditContent || message.content || '';
+		} else {
+			editedContent = message.content;
+		}
+
 		textareaElement?.focus();
 		editedExtras = message.extra ? [...message.extra] : [];
 		editedUploadedFiles = [];
@@ -200,7 +271,7 @@
 				const conversationDeleted = await chatStore.removeSystemPromptPlaceholder(message.id);
 				isEditing = false;
 				if (conversationDeleted) {
-					goto(`${base}/`);
+					goto(`#/`);
 				}
 				return;
 			}
@@ -252,70 +323,72 @@
 	}
 </script>
 
-{#if message.role === MessageRole.SYSTEM}
-	<ChatMessageSystem
-		bind:textareaElement
-		class={className}
-		{deletionInfo}
-		{message}
-		onConfirmDelete={handleConfirmDelete}
-		onCopy={handleCopy}
-		onDelete={handleDelete}
-		onEdit={handleEdit}
-		onNavigateToSibling={handleNavigateToSibling}
-		onShowDeleteDialogChange={handleShowDeleteDialogChange}
-		{showDeleteDialog}
-		{siblingInfo}
-	/>
-{:else if mcpPromptExtra}
-	<ChatMessageMcpPrompt
-		class={className}
-		{deletionInfo}
-		{message}
-		mcpPrompt={mcpPromptExtra}
-		onConfirmDelete={handleConfirmDelete}
-		onCopy={handleCopy}
-		onDelete={handleDelete}
-		onEdit={handleEdit}
-		onNavigateToSibling={handleNavigateToSibling}
-		onShowDeleteDialogChange={handleShowDeleteDialogChange}
-		{showDeleteDialog}
-		{siblingInfo}
-	/>
-{:else if message.role === MessageRole.USER}
-	<ChatMessageUser
-		class={className}
-		{deletionInfo}
-		{message}
-		onConfirmDelete={handleConfirmDelete}
-		onCopy={handleCopy}
-		onDelete={handleDelete}
-		onEdit={handleEdit}
-		onForkConversation={handleForkConversation}
-		onNavigateToSibling={handleNavigateToSibling}
-		onShowDeleteDialogChange={handleShowDeleteDialogChange}
-		{showDeleteDialog}
-		{siblingInfo}
-	/>
-{:else}
-	<ChatMessageAssistant
-		bind:textareaElement
-		class={className}
-		{deletionInfo}
-		{isLastAssistantMessage}
-		{message}
-		{toolMessages}
-		messageContent={message.content}
-		onConfirmDelete={handleConfirmDelete}
-		onContinue={handleContinue}
-		onCopy={handleCopy}
-		onDelete={handleDelete}
-		onEdit={handleEdit}
-		onForkConversation={handleForkConversation}
-		onNavigateToSibling={handleNavigateToSibling}
-		onRegenerate={handleRegenerate}
-		onShowDeleteDialogChange={handleShowDeleteDialogChange}
-		{showDeleteDialog}
-		{siblingInfo}
-	/>
-{/if}
+<div use:fadeInView>
+	{#if message.role === MessageRole.SYSTEM}
+		<ChatMessageSystem
+			bind:textareaElement
+			class={className}
+			{deletionInfo}
+			{message}
+			onConfirmDelete={handleConfirmDelete}
+			onCopy={handleCopy}
+			onDelete={handleDelete}
+			onEdit={handleEdit}
+			onNavigateToSibling={handleNavigateToSibling}
+			onShowDeleteDialogChange={handleShowDeleteDialogChange}
+			{showDeleteDialog}
+			{siblingInfo}
+		/>
+	{:else if mcpPromptExtra}
+		<ChatMessageMcpPrompt
+			class={className}
+			{deletionInfo}
+			{message}
+			mcpPrompt={mcpPromptExtra}
+			onConfirmDelete={handleConfirmDelete}
+			onCopy={handleCopy}
+			onDelete={handleDelete}
+			onEdit={handleEdit}
+			onNavigateToSibling={handleNavigateToSibling}
+			onShowDeleteDialogChange={handleShowDeleteDialogChange}
+			{showDeleteDialog}
+			{siblingInfo}
+		/>
+	{:else if message.role === MessageRole.USER}
+		<ChatMessageUser
+			class={className}
+			{deletionInfo}
+			{message}
+			onConfirmDelete={handleConfirmDelete}
+			onCopy={handleCopy}
+			onDelete={handleDelete}
+			onEdit={handleEdit}
+			onForkConversation={handleForkConversation}
+			onNavigateToSibling={handleNavigateToSibling}
+			onShowDeleteDialogChange={handleShowDeleteDialogChange}
+			{showDeleteDialog}
+			{siblingInfo}
+		/>
+	{:else}
+		<ChatMessageAssistant
+			bind:textareaElement
+			class={className}
+			{deletionInfo}
+			{isLastAssistantMessage}
+			{message}
+			{toolMessages}
+			messageContent={message.content}
+			onConfirmDelete={handleConfirmDelete}
+			onContinue={handleContinue}
+			onCopy={handleCopy}
+			onDelete={handleDelete}
+			onEdit={handleEdit}
+			onForkConversation={handleForkConversation}
+			onNavigateToSibling={handleNavigateToSibling}
+			onRegenerate={handleRegenerate}
+			onShowDeleteDialogChange={handleShowDeleteDialogChange}
+			{showDeleteDialog}
+			{siblingInfo}
+		/>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageAssistant/ChatMessageAssistant.svelte
similarity index 79%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageAssistant/ChatMessageAssistant.svelte
index 153070a9f..2fb6066d9 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageAssistant/ChatMessageAssistant.svelte
@@ -1,23 +1,21 @@
 <script lang="ts">
 	import {
 		ChatMessageAgenticContent,
-		ChatMessageActions,
+		ChatMessageActionIcons,
+		ChatMessageEditForm,
 		ChatMessageStatistics,
 		ModelBadge,
-		ModelsSelector
+		ModelsSelectorDropdown
 	} from '$lib/components/app';
 	import { getMessageEditContext } from '$lib/contexts';
 	import { useProcessingState } from '$lib/hooks/use-processing-state.svelte';
 	import { isLoading, isChatStreaming } from '$lib/stores/chat.svelte';
-	import { autoResizeTextarea, copyToClipboard, isIMEComposing } from '$lib/utils';
+	import { copyToClipboard, deriveAgenticSections } from '$lib/utils';
+	import { AgenticSectionType } from '$lib/enums';
+	import { REASONING_TAGS } from '$lib/constants/agentic';
 	import { tick } from 'svelte';
 	import { fade } from 'svelte/transition';
-	import { Check, X } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import { Checkbox } from '$lib/components/ui/checkbox';
-	import { INPUT_CLASSES } from '$lib/constants';
-	import { MessageRole, KeyboardKey, ChatMessageStatsView } from '$lib/enums';
-	import Label from '$lib/components/ui/label/label.svelte';
+	import { MessageRole, ChatMessageStatsView } from '$lib/enums';
 	import { config } from '$lib/stores/settings.svelte';
 	import { isRouterMode } from '$lib/stores/server.svelte';
 	import { modelsStore } from '$lib/stores/models.svelte';
@@ -75,19 +73,6 @@
 	// Get edit context
 	const editCtx = getMessageEditContext();
 
-	// Local state for assistant-specific editing
-	let shouldBranchAfterEdit = $state(false);
-
-	function handleEditKeydown(event: KeyboardEvent) {
-		if (event.key === KeyboardKey.ENTER && !event.shiftKey && !isIMEComposing(event)) {
-			event.preventDefault();
-			editCtx.save();
-		} else if (event.key === KeyboardKey.ESCAPE) {
-			event.preventDefault();
-			editCtx.cancel();
-		}
-	}
-
 	const isAgentic = $derived(hasAgenticContent(message, toolMessages));
 	const hasReasoning = $derived(!!message.reasoningContent);
 	const processingState = useProcessingState();
@@ -95,6 +80,49 @@
 	let currentConfig = $derived(config());
 	let isRouter = $derived(isRouterMode());
 	let showRawOutput = $state(false);
+
+	let rawOutputContent = $derived.by(() => {
+		const sections = deriveAgenticSections(message, toolMessages, [], false);
+		const parts: string[] = [];
+
+		for (const section of sections) {
+			switch (section.type) {
+				case AgenticSectionType.REASONING:
+				case AgenticSectionType.REASONING_PENDING:
+					parts.push(`${REASONING_TAGS.START}\n${section.content}\n${REASONING_TAGS.END}`);
+					break;
+
+				case AgenticSectionType.TEXT:
+					parts.push(section.content);
+					break;
+
+				case AgenticSectionType.TOOL_CALL:
+				case AgenticSectionType.TOOL_CALL_PENDING:
+				case AgenticSectionType.TOOL_CALL_STREAMING: {
+					const callObj: Record<string, unknown> = { name: section.toolName };
+
+					if (section.toolArgs) {
+						try {
+							callObj.arguments = JSON.parse(section.toolArgs);
+						} catch {
+							callObj.arguments = section.toolArgs;
+						}
+					}
+
+					parts.push(JSON.stringify(callObj, null, 2));
+
+					if (section.toolResult) {
+						parts.push(`[Tool Result]\n${section.toolResult}`);
+					}
+
+					break;
+				}
+			}
+		}
+
+		return parts.join('\n\n\n');
+	});
+
 	let activeStatsView = $state<ChatMessageStatsView>(ChatMessageStatsView.GENERATION);
 	let statsContainerEl: HTMLDivElement | undefined = $state();
 
@@ -177,12 +205,6 @@
 		void copyToClipboard(displayedModel ?? '');
 	}
 
-	$effect(() => {
-		if (editCtx.isEditing && textareaElement) {
-			autoResizeTextarea(textareaElement);
-		}
-	});
-
 	$effect(() => {
 		if (showProcessingInfoTop || showProcessingInfoBottom) {
 			processingState.startMonitoring();
@@ -208,56 +230,16 @@
 	{/if}
 
 	{#if editCtx.isEditing}
-		<div class="w-full">
-			<textarea
-				bind:this={textareaElement}
-				value={editCtx.editedContent}
-				class="min-h-[50vh] w-full resize-y rounded-2xl px-3 py-2 text-sm {INPUT_CLASSES}"
-				onkeydown={handleEditKeydown}
-				oninput={(e) => {
-					autoResizeTextarea(e.currentTarget);
-					editCtx.setContent(e.currentTarget.value);
-				}}
-				placeholder="Edit assistant message..."
-			></textarea>
-
-			<div class="mt-2 flex items-center justify-between">
-				<div class="flex items-center space-x-2">
-					<Checkbox
-						id="branch-after-edit"
-						bind:checked={shouldBranchAfterEdit}
-						onCheckedChange={(checked) => (shouldBranchAfterEdit = checked === true)}
-					/>
-					<Label for="branch-after-edit" class="cursor-pointer text-sm text-muted-foreground">
-						Branch conversation after edit
-					</Label>
-				</div>
-				<div class="flex gap-2">
-					<Button class="h-8 px-3" onclick={editCtx.cancel} size="sm" variant="outline">
-						<X class="mr-1 h-3 w-3" />
-						Cancel
-					</Button>
-
-					<Button
-						class="h-8 px-3"
-						onclick={editCtx.save}
-						disabled={!editCtx.editedContent?.trim()}
-						size="sm"
-					>
-						<Check class="mr-1 h-3 w-3" />
-						Save
-					</Button>
-				</div>
-			</div>
-		</div>
+		<ChatMessageEditForm />
 	{:else if message.role === MessageRole.ASSISTANT}
 		{#if showRawOutput}
-			<pre class="raw-output">{messageContent || ''}</pre>
+			<pre class="raw-output">{rawOutputContent || ''}</pre>
 		{:else}
 			<ChatMessageAgenticContent
 				{message}
 				{toolMessages}
 				isStreaming={isChatStreaming()}
+				{isLastAssistantMessage}
 				highlightTurns={highlightAgenticTurns}
 			/>
 		{/if}
@@ -286,10 +268,10 @@
 				class="inline-flex flex-wrap items-start gap-2 text-xs text-muted-foreground"
 			>
 				{#if isRouter}
-					<ModelsSelector
+					<ModelsSelectorDropdown
 						currentModel={displayedModel}
 						disabled={isLoading()}
-						onModelChange={async (modelId, modelName) => {
+						onModelChange={async (modelId: string, modelName: string) => {
 							const status = modelsStore.getModelStatus(modelId);
 
 							if (status !== ServerModelStatus.LOADED) {
@@ -337,7 +319,7 @@
 	</div>
 
 	{#if message.timestamp && !editCtx.isEditing}
-		<ChatMessageActions
+		<ChatMessageActionIcons
 			role={MessageRole.ASSISTANT}
 			justify="start"
 			actionsPosition="left"
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPrompt.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPrompt.svelte
index 72ece2b8e..2dcb36baf 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPrompt.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPrompt.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import {
-		ChatMessageActions,
+		ChatMessageActionIcons,
 		ChatMessageEditForm,
 		ChatMessageMcpPromptContent
 	} from '$lib/components/app';
@@ -63,7 +63,7 @@
 
 		{#if message.timestamp}
 			<div class="max-w-[80%]">
-				<ChatMessageActions
+				<ChatMessageActionIcons
 					actionsPosition="right"
 					{deletionInfo}
 					justify="end"
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPromptContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPromptContent.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageMcpPromptContent.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPromptContent.svelte
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageSystem/ChatMessageSystem.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageSystem/ChatMessageSystem.svelte
index a27616f9b..9d3d07a27 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageSystem.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageSystem/ChatMessageSystem.svelte
@@ -1,14 +1,13 @@
 <script lang="ts">
 	import { Check, X } from '@lucide/svelte';
-	import { Card } from '$lib/components/ui/card';
+	import { ChatMessageActionIcons, MarkdownContent } from '$lib/components/app';
 	import { Button } from '$lib/components/ui/button';
-	import { MarkdownContent } from '$lib/components/app';
-	import { getMessageEditContext } from '$lib/contexts';
+	import { Card } from '$lib/components/ui/card';
 	import { INPUT_CLASSES } from '$lib/constants';
+	import { getMessageEditContext } from '$lib/contexts';
+	import { KeyboardKey, MessageRole } from '$lib/enums';
 	import { config } from '$lib/stores/settings.svelte';
 	import { isIMEComposing } from '$lib/utils';
-	import ChatMessageActions from './ChatMessageActions.svelte';
-	import { KeyboardKey, MessageRole } from '$lib/enums';
 
 	interface Props {
 		class?: string;
@@ -213,7 +212,7 @@
 
 		{#if message.timestamp}
 			<div class="max-w-[80%]">
-				<ChatMessageActions
+				<ChatMessageActionIcons
 					actionsPosition="right"
 					{deletionInfo}
 					justify="end"
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUser.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUser.svelte
new file mode 100644
index 000000000..96ec1ddfd
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUser.svelte
@@ -0,0 +1,83 @@
+<script lang="ts">
+	import {
+		ChatMessageActionIcons,
+		ChatMessageEditForm,
+		ChatMessageUserBubble
+	} from '$lib/components/app/chat';
+	import { getMessageEditContext } from '$lib/contexts';
+	import { MessageRole } from '$lib/enums';
+
+	interface Props {
+		class?: string;
+		message: DatabaseMessage;
+		siblingInfo?: ChatMessageSiblingInfo | null;
+		deletionInfo: {
+			totalCount: number;
+			userMessages: number;
+			assistantMessages: number;
+			messageTypes: string[];
+		} | null;
+		showDeleteDialog: boolean;
+		onEdit: () => void;
+		onDelete: () => void;
+		onConfirmDelete: () => void;
+		onForkConversation?: (options: { name: string; includeAttachments: boolean }) => void;
+		onShowDeleteDialogChange: (show: boolean) => void;
+		onNavigateToSibling?: (siblingId: string) => void;
+		onCopy: () => void;
+	}
+
+	let {
+		class: className = '',
+		message,
+		siblingInfo = null,
+		deletionInfo,
+		showDeleteDialog,
+		onEdit,
+		onDelete,
+		onConfirmDelete,
+		onForkConversation,
+		onShowDeleteDialogChange,
+		onNavigateToSibling,
+		onCopy
+	}: Props = $props();
+
+	// Get contexts
+	const editCtx = getMessageEditContext();
+</script>
+
+<div
+	aria-label="User message with actions"
+	class="group flex flex-col items-end gap-3 md:gap-2 {className}"
+	role="group"
+>
+	{#if editCtx.isEditing}
+		<ChatMessageEditForm />
+	{:else}
+		<ChatMessageUserBubble
+			content={message.content}
+			attachments={message.extra}
+			renderMarkdown={true}
+		/>
+
+		{#if message.timestamp}
+			<div class="max-w-[80%]">
+				<ChatMessageActionIcons
+					actionsPosition="right"
+					{deletionInfo}
+					justify="end"
+					{onConfirmDelete}
+					{onCopy}
+					{onDelete}
+					{onEdit}
+					{onForkConversation}
+					{onNavigateToSibling}
+					{onShowDeleteDialogChange}
+					{siblingInfo}
+					{showDeleteDialog}
+					role={MessageRole.USER}
+				/>
+			</div>
+		{/if}
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserBubble.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserBubble.svelte
new file mode 100644
index 000000000..dabb337dd
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserBubble.svelte
@@ -0,0 +1,76 @@
+<script lang="ts">
+	import { Card } from '$lib/components/ui/card';
+	import { ChatAttachmentsList, MarkdownContent } from '$lib/components/app';
+	import { config } from '$lib/stores/settings.svelte';
+	import type { DatabaseMessageExtra } from '$lib/types/database';
+
+	interface Props {
+		content: string;
+		attachments?: DatabaseMessageExtra[];
+		renderMarkdown?: boolean;
+		textColorClass?: string;
+		cardBgClass?: string;
+		maxHeightStyle?: string;
+	}
+
+	let {
+		content,
+		attachments = [],
+		renderMarkdown = false,
+		textColorClass = 'text-foreground',
+		cardBgClass = 'dark:bg-primary/15',
+		maxHeightStyle = 'max-height: var(--max-message-height);'
+	}: Props = $props();
+
+	let isMultiline = $state(false);
+	let messageElement: HTMLElement | undefined = $state();
+	const currentConfig = config();
+
+	$effect(() => {
+		if (!messageElement || !content.trim()) return;
+
+		if (content.includes('\n')) {
+			isMultiline = true;
+			return;
+		}
+
+		const resizeObserver = new ResizeObserver((entries) => {
+			for (const entry of entries) {
+				const element = entry.target as HTMLElement;
+				const estimatedSingleLineHeight = 24; // Typical line height for text-md
+
+				isMultiline = element.offsetHeight > estimatedSingleLineHeight * 1.5;
+			}
+		});
+
+		resizeObserver.observe(messageElement);
+
+		return () => {
+			resizeObserver.disconnect();
+		};
+	});
+</script>
+
+{#if attachments && attachments.length > 0}
+	<div class="mb-2 max-w-[80%]">
+		<ChatAttachmentsList {attachments} readonly imageHeight="h-40" />
+	</div>
+{/if}
+
+{#if content.trim()}
+	<Card
+		class="max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 {textColorClass} backdrop-blur-md data-[multiline]:py-2.5 {cardBgClass}"
+		data-multiline={isMultiline ? '' : undefined}
+		style="{maxHeightStyle} overflow-wrap: anywhere; word-break: break-word;"
+	>
+		{#if renderMarkdown && currentConfig.renderUserContentAsMarkdown}
+			<div bind:this={messageElement}>
+				<MarkdownContent class="markdown-user-content -my-4" {content} />
+			</div>
+		{:else}
+			<span bind:this={messageElement} class="text-md whitespace-pre-wrap">
+				{content}
+			</span>
+		{/if}
+	</Card>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserPending.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserPending.svelte
new file mode 100644
index 000000000..4be582b39
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserPending.svelte
@@ -0,0 +1,69 @@
+<script lang="ts">
+	import { ActionIcon, ChatMessageEditForm, ChatMessageUserBubble } from '$lib/components/app';
+	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
+	import { ArrowUp, Edit, Trash2 } from '@lucide/svelte';
+	import { getProcessingInfoContext } from '$lib/contexts';
+	import { useMessageEditContext } from '$lib/hooks/use-message-edit-context.svelte';
+
+	interface Props {
+		class?: string;
+		content: string;
+		extras?: DatabaseMessageExtra[];
+		onSendImmediately: () => void;
+		onEdit: (newContent: string, extras?: DatabaseMessageExtra[]) => void;
+		onDelete: () => void;
+	}
+
+	let {
+		class: className = '',
+		content,
+		extras = [],
+		onSendImmediately,
+		onEdit,
+		onDelete
+	}: Props = $props();
+
+	const processingInfoCtx = getProcessingInfoContext();
+	let showProcessingInfo = $derived(processingInfoCtx.showProcessingInfo);
+
+	const editCtx = useMessageEditContext({
+		getContent: () => content,
+		getExtras: () => extras,
+		onSave: (content, extras) => onEdit(content, extras)
+	});
+</script>
+
+<div
+	use:fadeInView
+	aria-label="Pending user message"
+	class="group flex flex-col items-end gap-3 transition-opacity hover:opacity-80 md:gap-2 {className} sticky {showProcessingInfo
+		? 'bottom-44'
+		: 'bottom-32'}"
+	role="group"
+>
+	{#if editCtx.isEditing}
+		<ChatMessageEditForm />
+	{:else}
+		<ChatMessageUserBubble
+			{content}
+			attachments={extras}
+			textColorClass="text-muted-foreground"
+			cardBgClass="dark:bg-primary/8"
+			maxHeightStyle="overflow-wrap: anywhere; word-break: break-word;"
+		/>
+
+		<div class="max-w-[80%]">
+			<div class="relative flex h-6 items-center justify-between">
+				<div class="right-0 flex items-center gap-2 opacity-100 transition-opacity">
+					<div
+						class="pointer-events-auto inset-0 flex items-center gap-1 opacity-0 transition-all duration-150 group-hover:opacity-100"
+					>
+						<ActionIcon icon={Edit} tooltip="Edit" onclick={editCtx.handleEdit} />
+						<ActionIcon icon={Trash2} tooltip="Delete" onclick={onDelete} />
+						<ActionIcon icon={ArrowUp} tooltip="Send immediately" onclick={onSendImmediately} />
+					</div>
+				</div>
+			</div>
+		</div>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte
new file mode 100644
index 000000000..254031979
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte
@@ -0,0 +1,23 @@
+<script lang="ts">
+	import type { Snippet, Component } from 'svelte';
+
+	interface Props {
+		icon: Component<{ class?: string }>;
+		message: Snippet;
+		actions: Snippet;
+	}
+
+	let { icon: IconComponent, message, actions }: Props = $props();
+</script>
+
+<div class="my-2 rounded-lg border border-border bg-card p-3">
+	<div class="mb-3 flex items-center gap-2 text-sm">
+		<IconComponent class="h-4 w-4 shrink-0 text-muted-foreground" />
+		<span>
+			{@render message()}
+		</span>
+	</div>
+	<div class="flex flex-wrap items-center gap-2">
+		{@render actions()}
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte
new file mode 100644
index 000000000..bbb1f0ac2
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte
@@ -0,0 +1,30 @@
+<script lang="ts">
+	import { RotateCw } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import ChatMessageActionCard from './ChatMessageActionCard.svelte';
+
+	interface Props {
+		onDecision: (shouldContinue: boolean) => void;
+	}
+
+	let { onDecision }: Props = $props();
+</script>
+
+<ChatMessageActionCard icon={RotateCw}>
+	{#snippet message()}
+		Agentic turn limit reached. Continue?
+	{/snippet}
+
+	{#snippet actions()}
+		<Button size="sm" onclick={() => onDecision(true)}>Continue</Button>
+
+		<Button
+			variant="destructive"
+			size="sm"
+			class="text-destructive hover:text-destructive"
+			onclick={() => onDecision(false)}
+		>
+			Stop
+		</Button>
+	{/snippet}
+</ChatMessageActionCard>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte
new file mode 100644
index 000000000..e466c84ee
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte
@@ -0,0 +1,88 @@
+<script lang="ts">
+	import { ChevronDown, ShieldQuestion } from '@lucide/svelte';
+	import { ChatMessageActionCard } from '$lib/components/app';
+	import { Button } from '$lib/components/ui/button';
+	import * as ButtonGroup from '$lib/components/ui/button-group';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import { ToolSource, ToolPermissionDecision } from '$lib/enums';
+	import { TOOL_SERVER_LABELS } from '$lib/constants';
+	import { toolsStore } from '$lib/stores/tools.svelte';
+
+	interface Props {
+		toolName: string;
+		serverLabel: string;
+		onDecision: (decision: ToolPermissionDecision) => void;
+	}
+
+	let { toolName, serverLabel, onDecision }: Props = $props();
+</script>
+
+<ChatMessageActionCard icon={ShieldQuestion}>
+	{#snippet message()}
+		Allow use of
+
+		<span class="font-semibold">{toolName}</span>
+
+		{#if serverLabel}
+			from <span class="font-semibold">{serverLabel}</span>
+		{/if}
+
+		?
+	{/snippet}
+
+	{#snippet actions()}
+		<DropdownMenu.Root>
+			<ButtonGroup.Root
+				class="overflow-hidden rounded-md bg-foreground text-white shadow-sm dark:bg-secondary dark:text-foreground"
+			>
+				<Button
+					class="rounded-none! shadow-none!"
+					size="sm"
+					onclick={() => onDecision(ToolPermissionDecision.ONCE)}
+				>
+					Allow once
+				</Button>
+
+				<ButtonGroup.Separator />
+
+				<DropdownMenu.Trigger>
+					<Button size="sm" class="rounded-none! !ps-2 shadow-none!">
+						<ChevronDown class="h-3.5 w-3.5" />
+					</Button>
+				</DropdownMenu.Trigger>
+			</ButtonGroup.Root>
+
+			<DropdownMenu.Content align="start" class="min-w-[8rem]">
+				<DropdownMenu.Item onclick={() => onDecision(ToolPermissionDecision.ALWAYS)}>
+					Always allow <pre>{toolName}</pre>
+					tool
+				</DropdownMenu.Item>
+				{#if serverLabel}
+					<DropdownMenu.Item onclick={() => onDecision(ToolPermissionDecision.ALWAYS_SERVER)}>
+						Always allow all tools from {serverLabel}
+					</DropdownMenu.Item>
+				{:else}
+					{@const source = toolsStore.getToolSource(toolName)}
+					{@const providerName =
+						source === ToolSource.BUILTIN
+							? TOOL_SERVER_LABELS[ToolSource.BUILTIN]
+							: source === ToolSource.CUSTOM
+								? TOOL_SERVER_LABELS[ToolSource.CUSTOM]
+								: 'MCP Tools'}
+					<DropdownMenu.Item onclick={() => onDecision(ToolPermissionDecision.ALWAYS_SERVER)}>
+						Approve all tools from {providerName}
+					</DropdownMenu.Item>
+				{/if}
+			</DropdownMenu.Content>
+		</DropdownMenu.Root>
+
+		<Button
+			variant="destructive"
+			size="sm"
+			class="text-destructive hover:text-destructive"
+			onclick={() => onDecision(ToolPermissionDecision.DENY)}
+		>
+			Deny
+		</Button>
+	{/snippet}
+</ChatMessageActionCard>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIcons.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIcons.svelte
index fec1a506e..503a2d086 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIcons.svelte
@@ -2,7 +2,7 @@
 	import { Edit, Copy, RefreshCw, Trash2, ArrowRight, GitBranch } from '@lucide/svelte';
 	import {
 		ActionIcon,
-		ChatMessageBranchingControls,
+		ChatMessageActionIconsBranchingControls,
 		DialogConfirmation
 	} from '$lib/components/app';
 	import { Switch } from '$lib/components/ui/switch';
@@ -89,7 +89,7 @@
 			: 'right-0'} flex items-center gap-2 opacity-100 transition-opacity"
 	>
 		{#if siblingInfo && siblingInfo.totalSiblings > 1}
-			<ChatMessageBranchingControls {siblingInfo} {onNavigateToSibling} />
+			<ChatMessageActionIconsBranchingControls {siblingInfo} {onNavigateToSibling} />
 		{/if}
 
 		<div
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIconsBranchingControls.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIconsBranchingControls.svelte
new file mode 100644
index 000000000..465dcab73
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIconsBranchingControls.svelte
@@ -0,0 +1,49 @@
+<script lang="ts">
+	import { ChevronLeft, ChevronRight } from '@lucide/svelte';
+	import { ActionIcon } from '$lib/components/app';
+
+	interface Props {
+		class?: string;
+		siblingInfo: ChatMessageSiblingInfo | null;
+		onNavigateToSibling?: (siblingId: string) => void;
+	}
+
+	let { class: className = '', siblingInfo, onNavigateToSibling }: Props = $props();
+
+	let hasPrevious = $derived(siblingInfo && siblingInfo.currentIndex > 0);
+	let hasNext = $derived(siblingInfo && siblingInfo.currentIndex < siblingInfo.totalSiblings - 1);
+	let nextSiblingId = $derived(
+		hasNext ? siblingInfo!.siblingIds[siblingInfo!.currentIndex + 1] : null
+	);
+	let previousSiblingId = $derived(
+		hasPrevious ? siblingInfo!.siblingIds[siblingInfo!.currentIndex - 1] : null
+	);
+</script>
+
+{#if siblingInfo && siblingInfo.totalSiblings > 1}
+	<div
+		aria-label="Message version {siblingInfo.currentIndex + 1} of {siblingInfo.totalSiblings}"
+		class="flex items-center gap-1 text-xs text-muted-foreground {className}"
+		role="navigation"
+	>
+		<ActionIcon
+			icon={ChevronLeft}
+			tooltip="Previous version"
+			disabled={!hasPrevious}
+			class="h-5 w-5 p-0 {!hasPrevious ? '!cursor-not-allowed opacity-30' : ''}"
+			onclick={() => onNavigateToSibling?.(previousSiblingId!)}
+		/>
+
+		<span class="px-1 font-mono text-xs">
+			{siblingInfo.currentIndex + 1}/{siblingInfo.totalSiblings}
+		</span>
+
+		<ActionIcon
+			icon={ChevronRight}
+			tooltip="Next version"
+			disabled={!hasNext}
+			class="h-5 w-5 p-0 {!hasNext ? 'opacity-30' : ''}"
+			onclick={() => onNavigateToSibling?.(nextSiblingId!)}
+		/>
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
index 17346e027..e9b77ba2f 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte
@@ -1,39 +1,105 @@
 <script lang="ts">
+	import { Wrench, Loader2, Brain } from '@lucide/svelte';
 	import {
 		ChatMessageStatistics,
 		CollapsibleContentBlock,
 		MarkdownContent,
-		SyntaxHighlightedCode
+		SyntaxHighlightedCode,
+		ChatMessageActionCardPermissionRequest,
+		ChatMessageActionCardContinueRequest
 	} from '$lib/components/app';
-	import { config } from '$lib/stores/settings.svelte';
-	import { Wrench, Loader2, Brain } from '@lucide/svelte';
-	import { AgenticSectionType, FileTypeText } from '$lib/enums';
-	import { formatJsonPretty } from '$lib/utils';
+
+	import {
+		AgenticSectionType,
+		ChatMessageStatsView,
+		FileTypeText,
+		ToolPermissionDecision
+	} from '$lib/enums';
+	import type {
+		ChatMessageAgenticTimings,
+		ChatMessageAgenticTurnStats,
+		DatabaseMessage
+	} from '$lib/types';
 	import {
 		deriveAgenticSections,
+		formatJsonPretty,
 		parseToolResultWithImages,
 		type AgenticSection,
 		type ToolResultLine
 	} from '$lib/utils';
-	import type { DatabaseMessage } from '$lib/types/database';
-	import type { ChatMessageAgenticTimings, ChatMessageAgenticTurnStats } from '$lib/types/chat';
-	import { ChatMessageStatsView } from '$lib/enums';
+	import {
+		agenticPendingPermissionRequest,
+		agenticResolvePermission,
+		agenticPendingContinueRequest,
+		agenticResolveContinue
+	} from '$lib/stores/agentic.svelte';
+	import { config } from '$lib/stores/settings.svelte';
 
 	interface Props {
 		message: DatabaseMessage;
 		toolMessages?: DatabaseMessage[];
 		isStreaming?: boolean;
+		isLastAssistantMessage?: boolean;
 		highlightTurns?: boolean;
 	}
 
-	let { message, toolMessages = [], isStreaming = false, highlightTurns = false }: Props = $props();
+	let {
+		message,
+		toolMessages = [],
+		isStreaming = false,
+		isLastAssistantMessage = false,
+		highlightTurns = false
+	}: Props = $props();
 
 	let expandedStates: Record<number, boolean> = $state({});
 
 	const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
 	const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
 
-	const sections = $derived(deriveAgenticSections(message, toolMessages, []));
+	let permissionDismissed = $state(false);
+
+	const pendingPermission = $derived(
+		isStreaming && isLastAssistantMessage ? agenticPendingPermissionRequest(message.convId) : null
+	);
+
+	// Reset dismissed when pendingPermission changes (new request or cleared)
+	let prevPendingRef: typeof pendingPermission = null;
+	$effect(() => {
+		if (pendingPermission !== prevPendingRef) {
+			prevPendingRef = pendingPermission;
+			if (pendingPermission) {
+				permissionDismissed = false;
+			}
+		}
+	});
+
+	function handlePermission(decision: ToolPermissionDecision) {
+		permissionDismissed = true;
+		agenticResolvePermission(message.convId, decision);
+	}
+
+	let continueDismissed = $state(false);
+
+	const pendingContinue = $derived(
+		isStreaming && isLastAssistantMessage ? agenticPendingContinueRequest(message.convId) : false
+	);
+
+	let prevContinueRef = false;
+	$effect(() => {
+		if (pendingContinue !== prevContinueRef) {
+			prevContinueRef = pendingContinue;
+			if (pendingContinue) {
+				continueDismissed = false;
+			}
+		}
+	});
+
+	function handleContinue(shouldContinue: boolean) {
+		continueDismissed = true;
+		agenticResolveContinue(message.convId, shouldContinue);
+	}
+
+	const sections = $derived(deriveAgenticSections(message, toolMessages, [], isStreaming));
 
 	// Parse tool results with images
 	const sectionsParsed = $derived(
@@ -201,7 +267,11 @@
 						<Loader2 class="h-3 w-3 animate-spin" />
 					{/if}
 				</div>
-				{#if section.toolResult}
+				{#if isPending}
+					<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">
+						Waiting for result...
+					</div>
+				{:else if section.toolResult}
 					<div class="overflow-auto rounded-lg border border-border bg-muted p-4">
 						{#each section.parsedLines as line, i (i)}
 							<div class="font-mono text-xs leading-relaxed whitespace-pre-wrap">{line.text}</div>
@@ -215,10 +285,8 @@
 							{/if}
 						{/each}
 					</div>
-				{:else if isPending}
-					<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">
-						Waiting for result...
-					</div>
+				{:else}
+					<div class="rounded bg-muted/30 p-2 text-xs text-muted-foreground italic">No output</div>
 				{/if}
 			</div>
 		</CollapsibleContentBlock>
@@ -289,6 +357,18 @@
 			{@render renderSection(section, index)}
 		{/each}
 	{/if}
+
+	{#if pendingPermission && !permissionDismissed}
+		<ChatMessageActionCardPermissionRequest
+			toolName={pendingPermission.toolName}
+			serverLabel={pendingPermission.serverLabel}
+			onDecision={handlePermission}
+		/>
+	{/if}
+
+	{#if pendingContinue && !continueDismissed}
+		<ChatMessageActionCardContinueRequest onDecision={handleContinue} />
+	{/if}
 </div>
 
 <style>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte
deleted file mode 100644
index 7420bb199..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageBranchingControls.svelte
+++ /dev/null
@@ -1,84 +0,0 @@
-<script lang="ts">
-	import { ChevronLeft, ChevronRight } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import * as Tooltip from '$lib/components/ui/tooltip';
-
-	interface Props {
-		class?: string;
-		siblingInfo: ChatMessageSiblingInfo | null;
-		onNavigateToSibling?: (siblingId: string) => void;
-	}
-
-	let { class: className = '', siblingInfo, onNavigateToSibling }: Props = $props();
-
-	let hasPrevious = $derived(siblingInfo && siblingInfo.currentIndex > 0);
-	let hasNext = $derived(siblingInfo && siblingInfo.currentIndex < siblingInfo.totalSiblings - 1);
-	let nextSiblingId = $derived(
-		hasNext ? siblingInfo!.siblingIds[siblingInfo!.currentIndex + 1] : null
-	);
-	let previousSiblingId = $derived(
-		hasPrevious ? siblingInfo!.siblingIds[siblingInfo!.currentIndex - 1] : null
-	);
-
-	function handleNext() {
-		if (nextSiblingId) {
-			onNavigateToSibling?.(nextSiblingId);
-		}
-	}
-
-	function handlePrevious() {
-		if (previousSiblingId) {
-			onNavigateToSibling?.(previousSiblingId);
-		}
-	}
-</script>
-
-{#if siblingInfo && siblingInfo.totalSiblings > 1}
-	<div
-		aria-label="Message version {siblingInfo.currentIndex + 1} of {siblingInfo.totalSiblings}"
-		class="flex items-center gap-1 text-xs text-muted-foreground {className}"
-		role="navigation"
-	>
-		<Tooltip.Root>
-			<Tooltip.Trigger>
-				<Button
-					aria-label="Previous message version"
-					class="h-5 w-5 p-0 {!hasPrevious ? 'cursor-not-allowed opacity-30' : ''}"
-					disabled={!hasPrevious}
-					onclick={handlePrevious}
-					size="sm"
-					variant="ghost"
-				>
-					<ChevronLeft class="h-3 w-3" />
-				</Button>
-			</Tooltip.Trigger>
-
-			<Tooltip.Content>
-				<p>Previous version</p>
-			</Tooltip.Content>
-		</Tooltip.Root>
-
-		<span class="px-1 font-mono text-xs">
-			{siblingInfo.currentIndex + 1}/{siblingInfo.totalSiblings}
-		</span>
-
-		<Tooltip.Root>
-			<Tooltip.Trigger>
-				<Button
-					aria-label="Next message version"
-					class="h-5 w-5 p-0 {!hasNext ? 'cursor-not-allowed opacity-30' : ''}"
-					disabled={!hasNext}
-					onclick={handleNext}
-					size="sm"
-					variant="ghost"
-				>
-					<ChevronRight class="h-3 w-3" />
-				</Button>
-			</Tooltip.Trigger>
-
-			<Tooltip.Content>
-				<p>Next version</p>
-			</Tooltip.Content>
-		</Tooltip.Root>
-	</div>
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
index 1985ae38e..ac482baa4 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageEditForm.svelte
@@ -4,15 +4,18 @@
 	import { Switch } from '$lib/components/ui/switch';
 	import { ChatForm, DialogConfirmation } from '$lib/components/app';
 	import { getMessageEditContext } from '$lib/contexts';
-	import { KeyboardKey } from '$lib/enums';
+	import { KeyboardKey, MessageRole } from '$lib/enums';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { processFilesToChatUploaded } from '$lib/utils/browser-only';
 
 	const editCtx = getMessageEditContext();
 
-	let inputAreaRef: ChatForm | undefined = $state(undefined);
 	let saveWithoutRegenerate = $state(false);
 	let showDiscardDialog = $state(false);
+	let branchAfterEdit = $state(false);
+
+	let isUserMessage = $derived(editCtx.messageRole === MessageRole.USER);
+	let isAssistantMessage = $derived(editCtx.messageRole === MessageRole.ASSISTANT);
 
 	let hasUnsavedChanges = $derived.by(() => {
 		if (editCtx.editedContent !== editCtx.originalContent) return true;
@@ -52,13 +55,18 @@
 	function handleSubmit() {
 		if (!canSubmit) return;
 
-		if (saveWithoutRegenerate && editCtx.showSaveOnlyOption) {
+		if (isUserMessage && saveWithoutRegenerate && editCtx.showSaveOnlyOption) {
 			editCtx.saveOnly();
 		} else {
+			if (isAssistantMessage && editCtx.setShouldBranchAfterEdit) {
+				editCtx.setShouldBranchAfterEdit(branchAfterEdit);
+			}
+
 			editCtx.save();
 		}
 
 		saveWithoutRegenerate = false;
+		branchAfterEdit = false;
 	}
 
 	function handleAttachmentRemove(index: number) {
@@ -94,12 +102,13 @@
 
 <div class="relative w-full max-w-[80%]">
 	<ChatForm
-		bind:this={inputAreaRef}
 		value={editCtx.editedContent}
 		attachments={editCtx.editedExtras}
 		uploadedFiles={editCtx.editedUploadedFiles}
 		placeholder="Edit your message..."
 		showMcpPromptButton
+		showAddButton={editCtx.messageRole === MessageRole.USER}
+		showModelSelector={editCtx.messageRole === MessageRole.USER}
 		onValueChange={editCtx.setContent}
 		onAttachmentRemove={handleAttachmentRemove}
 		onUploadedFileRemove={handleUploadedFileRemove}
@@ -110,7 +119,7 @@
 </div>
 
 <div class="mt-2 flex w-full max-w-[80%] items-center justify-between">
-	{#if editCtx.showSaveOnlyOption}
+	{#if isUserMessage && editCtx.showSaveOnlyOption}
 		<div class="flex items-center gap-2">
 			<Switch id="save-only-switch" bind:checked={saveWithoutRegenerate} class="scale-75" />
 
@@ -118,6 +127,14 @@
 				Update without re-sending
 			</label>
 		</div>
+	{:else if isAssistantMessage}
+		<div class="flex items-center gap-2">
+			<Switch id="branch-after-edit" bind:checked={branchAfterEdit} class="scale-75" />
+
+			<label for="branch-after-edit" class="cursor-pointer text-xs text-muted-foreground">
+				Branch conversation after edit
+			</label>
+		</div>
 	{:else}
 		<div></div>
 	{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte
similarity index 94%
rename from tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte
index 945dec9c5..34362e026 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte
@@ -1,6 +1,6 @@
 <script lang="ts">
 	import { Clock, Gauge, WholeWord, BookOpenText, Sparkles, Wrench, Layers } from '@lucide/svelte';
-	import { BadgeChatStatistic } from '$lib/components/app';
+	import { ChatMessageStatisticsBadge } from '$lib/components/app';
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import { ChatMessageStatsView } from '$lib/enums';
 	import type { ChatMessageAgenticTimings } from '$lib/types/chat';
@@ -215,84 +215,84 @@
 
 	<div class="flex items-center gap-1 px-2">
 		{#if activeView === ChatMessageStatsView.GENERATION && hasGenerationStats}
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={WholeWord}
 				value="{predictedTokens?.toLocaleString()} tokens"
 				tooltipLabel="Generated tokens"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Clock}
 				value={formattedTime}
 				tooltipLabel="Generation time"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Gauge}
 				value="{tokensPerSecond.toFixed(2)} t/s"
 				tooltipLabel="Generation speed"
 			/>
 		{:else if activeView === ChatMessageStatsView.TOOLS && hasAgenticStats}
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Wrench}
 				value="{agenticTimings!.toolCallsCount} calls"
 				tooltipLabel="Tool calls executed"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Clock}
 				value={formattedAgenticToolsTime}
 				tooltipLabel="Tool execution time"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Gauge}
 				value="{agenticToolsPerSecond.toFixed(2)} calls/s"
 				tooltipLabel="Tool execution rate"
 			/>
 		{:else if activeView === ChatMessageStatsView.SUMMARY && hasAgenticStats}
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Layers}
 				value="{agenticTimings!.turns} turns"
 				tooltipLabel="Agentic turns (LLM calls)"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={WholeWord}
 				value="{agenticTimings!.llm.predicted_n.toLocaleString()} tokens"
 				tooltipLabel="Total tokens generated"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Clock}
 				value={formattedAgenticTotalTime}
 				tooltipLabel="Total time (LLM + tools)"
 			/>
 		{:else if hasPromptStats}
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={WholeWord}
 				value="{promptTokens} tokens"
 				tooltipLabel="Prompt tokens"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Clock}
 				value={formattedPromptTime ?? '0s'}
 				tooltipLabel="Prompt processing time"
 			/>
 
-			<BadgeChatStatistic
+			<ChatMessageStatisticsBadge
 				class="bg-transparent"
 				icon={Gauge}
 				value="{promptTokensPerSecond!.toFixed(2)} tokens/s"
diff --git a/tools/server/webui/src/lib/components/app/badges/BadgeChatStatistic.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatisticsBadge.svelte
similarity index 82%
rename from tools/server/webui/src/lib/components/app/badges/BadgeChatStatistic.svelte
rename to tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatisticsBadge.svelte
index a2b28d205..eea7da7b2 100644
--- a/tools/server/webui/src/lib/components/app/badges/BadgeChatStatistic.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageStatistics/ChatMessageStatisticsBadge.svelte
@@ -11,7 +11,7 @@
 		tooltipLabel?: string;
 	}
 
-	let { class: className = '', icon: Icon, value, tooltipLabel }: Props = $props();
+	let { class: className = '', icon: IconComponent, value, tooltipLabel }: Props = $props();
 
 	function handleClick() {
 		void copyToClipboard(String(value));
@@ -23,7 +23,7 @@
 		<Tooltip.Trigger>
 			<BadgeInfo class={className} onclick={handleClick}>
 				{#snippet icon()}
-					<Icon class="h-3 w-3" />
+					<IconComponent class="h-3 w-3" />
 				{/snippet}
 
 				{value}
@@ -36,7 +36,7 @@
 {:else}
 	<BadgeInfo class={className} onclick={handleClick}>
 		{#snippet icon()}
-			<Icon class="h-3 w-3" />
+			<IconComponent class="h-3 w-3" />
 		{/snippet}
 
 		{value}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
deleted file mode 100644
index f2f6288d6..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageUser.svelte
+++ /dev/null
@@ -1,129 +0,0 @@
-<script lang="ts">
-	import { Card } from '$lib/components/ui/card';
-	import { ChatAttachmentsList, MarkdownContent } from '$lib/components/app';
-	import { getMessageEditContext } from '$lib/contexts';
-	import { config } from '$lib/stores/settings.svelte';
-	import ChatMessageActions from './ChatMessageActions.svelte';
-	import ChatMessageEditForm from './ChatMessageEditForm.svelte';
-	import { MessageRole } from '$lib/enums';
-
-	interface Props {
-		class?: string;
-		message: DatabaseMessage;
-		siblingInfo?: ChatMessageSiblingInfo | null;
-		deletionInfo: {
-			totalCount: number;
-			userMessages: number;
-			assistantMessages: number;
-			messageTypes: string[];
-		} | null;
-		showDeleteDialog: boolean;
-		onEdit: () => void;
-		onDelete: () => void;
-		onConfirmDelete: () => void;
-		onForkConversation?: (options: { name: string; includeAttachments: boolean }) => void;
-		onShowDeleteDialogChange: (show: boolean) => void;
-		onNavigateToSibling?: (siblingId: string) => void;
-		onCopy: () => void;
-	}
-
-	let {
-		class: className = '',
-		message,
-		siblingInfo = null,
-		deletionInfo,
-		showDeleteDialog,
-		onEdit,
-		onDelete,
-		onConfirmDelete,
-		onForkConversation,
-		onShowDeleteDialogChange,
-		onNavigateToSibling,
-		onCopy
-	}: Props = $props();
-
-	// Get contexts
-	const editCtx = getMessageEditContext();
-
-	let isMultiline = $state(false);
-	let messageElement: HTMLElement | undefined = $state();
-	const currentConfig = config();
-
-	$effect(() => {
-		if (!messageElement || !message.content.trim()) return;
-
-		if (message.content.includes('\n')) {
-			isMultiline = true;
-			return;
-		}
-
-		const resizeObserver = new ResizeObserver((entries) => {
-			for (const entry of entries) {
-				const element = entry.target as HTMLElement;
-				const estimatedSingleLineHeight = 24; // Typical line height for text-md
-
-				isMultiline = element.offsetHeight > estimatedSingleLineHeight * 1.5;
-			}
-		});
-
-		resizeObserver.observe(messageElement);
-
-		return () => {
-			resizeObserver.disconnect();
-		};
-	});
-</script>
-
-<div
-	aria-label="User message with actions"
-	class="group flex flex-col items-end gap-3 md:gap-2 {className}"
-	role="group"
->
-	{#if editCtx.isEditing}
-		<ChatMessageEditForm />
-	{:else}
-		{#if message.extra && message.extra.length > 0}
-			<div class="mb-2 max-w-[80%]">
-				<ChatAttachmentsList attachments={message.extra} readonly imageHeight="h-80" />
-			</div>
-		{/if}
-
-		{#if message.content.trim()}
-			<Card
-				class="max-w-[80%] overflow-y-auto rounded-[1.125rem] border-none bg-primary/5 px-3.75 py-1.5 text-foreground backdrop-blur-md data-[multiline]:py-2.5 dark:bg-primary/15"
-				data-multiline={isMultiline ? '' : undefined}
-				style="max-height: var(--max-message-height); overflow-wrap: anywhere; word-break: break-word;"
-			>
-				{#if currentConfig.renderUserContentAsMarkdown}
-					<div bind:this={messageElement}>
-						<MarkdownContent class="markdown-user-content -my-4" content={message.content} />
-					</div>
-				{:else}
-					<span bind:this={messageElement} class="text-md whitespace-pre-wrap">
-						{message.content}
-					</span>
-				{/if}
-			</Card>
-		{/if}
-
-		{#if message.timestamp}
-			<div class="max-w-[80%]">
-				<ChatMessageActions
-					actionsPosition="right"
-					{deletionInfo}
-					justify="end"
-					{onConfirmDelete}
-					{onCopy}
-					{onDelete}
-					{onEdit}
-					{onForkConversation}
-					{onNavigateToSibling}
-					{onShowDeleteDialogChange}
-					{siblingInfo}
-					{showDeleteDialog}
-					role={MessageRole.USER}
-				/>
-			</div>
-		{/if}
-	{/if}
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
index 6d16b4698..550631a9e 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte
@@ -1,11 +1,22 @@
 <script lang="ts">
-	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
-	import { ChatMessage } from '$lib/components/app';
+	import { ChatMessage, ChatMessageUserPending } from '$lib/components/app';
 	import { setChatActionsContext } from '$lib/contexts';
 	import { MessageRole } from '$lib/enums';
 	import { chatStore } from '$lib/stores/chat.svelte';
+	import {
+		chatPendingMessageContent,
+		chatPendingMessageExtras,
+		chatClearPendingMessage,
+		chatInjectPendingMessage
+	} from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
+	import {
+		agenticPendingSteeringMessageContent,
+		agenticPendingSteeringMessageExtras,
+		agenticClearSteeringMessage,
+		agenticInjectSteeringMessage
+	} from '$lib/stores/agentic.svelte';
 	import {
 		copyToClipboard,
 		formatMessageForClipboard,
@@ -14,14 +25,14 @@
 	} from '$lib/utils';
 
 	interface Props {
-		class?: string;
 		messages?: DatabaseMessage[];
 		onUserAction?: () => void;
 	}
 
-	let { class: className, messages = [], onUserAction }: Props = $props();
+	let { messages = [], onUserAction }: Props = $props();
 
 	let allConversationMessages = $state<DatabaseMessage[]>([]);
+
 	const currentConfig = config();
 
 	setChatActionsContext({
@@ -196,19 +207,42 @@
 	});
 </script>
 
-<div
-	class="flex h-full flex-col space-y-10 pt-24 {className}"
-	style="height: auto; min-height: calc(100dvh - 14rem);"
->
-	{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)}
-		<div use:fadeInView>
-			<ChatMessage
-				class="mx-auto w-full max-w-[48rem]"
-				{message}
-				{toolMessages}
-				{isLastAssistantMessage}
-				{siblingInfo}
-			/>
-		</div>
-	{/each}
-</div>
+{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)}
+	<ChatMessage
+		class="mx-auto mt-12 w-full max-w-[48rem]"
+		{message}
+		{toolMessages}
+		{isLastAssistantMessage}
+		{siblingInfo}
+	/>
+{/each}
+
+{#if activeConversation() && agenticPendingSteeringMessageContent(activeConversation()!.id)}
+	{@const convId = activeConversation()!.id}
+	{@const pendingContent = agenticPendingSteeringMessageContent(convId)}
+
+	{#if pendingContent}
+		<ChatMessageUserPending
+			class="mx-auto mt-12 w-full max-w-[48rem]"
+			content={pendingContent}
+			extras={agenticPendingSteeringMessageExtras(convId)}
+			onSendImmediately={() => chatStore.abortCurrentFlow(convId)}
+			onEdit={(newContent, extras) => agenticInjectSteeringMessage(convId, newContent, extras)}
+			onDelete={() => agenticClearSteeringMessage(convId)}
+		/>
+	{/if}
+{:else if activeConversation() && chatPendingMessageContent(activeConversation()!.id)}
+	{@const convId = activeConversation()!.id}
+	{@const pendingContent = chatPendingMessageContent(convId)}
+
+	{#if pendingContent}
+		<ChatMessageUserPending
+			class="mx-auto mt-12 w-full max-w-[48rem]"
+			content={pendingContent}
+			extras={chatPendingMessageExtras(convId)}
+			onSendImmediately={() => chatStore.abortCurrentFlow(convId)}
+			onEdit={(newContent, extras) => chatInjectPendingMessage(convId, newContent, extras)}
+			onDelete={() => chatClearPendingMessage(convId)}
+		/>
+	{/if}
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
index 290a277a5..bc114d484 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreen.svelte
@@ -1,26 +1,32 @@
 <script lang="ts">
+	import { Trash2, AlertTriangle, RefreshCw } from '@lucide/svelte';
 	import { afterNavigate } from '$app/navigation';
+	import { page } from '$app/state';
+	import { fadeInView } from '$lib/actions/fade-in-view.svelte';
 	import {
 		ChatScreenForm,
-		ChatScreenHeader,
 		ChatMessages,
+		ChatScreenDragOverlay,
 		ChatScreenProcessingInfo,
 		DialogEmptyFileAlert,
+		DialogFileUploadError,
 		DialogChatError,
 		ServerLoadingSplash,
 		DialogConfirmation
 	} from '$lib/components/app';
 	import * as Alert from '$lib/components/ui/alert';
-	import * as AlertDialog from '$lib/components/ui/alert-dialog';
-	import { KeyboardKey } from '$lib/enums';
+	import { setProcessingInfoContext } from '$lib/contexts';
+	import { ErrorDialogType } from '$lib/enums';
 	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
+	import { useKeyboardShortcuts } from '$lib/hooks/use-keyboard-shortcuts.svelte';
 	import {
 		chatStore,
 		errorDialog,
 		isLoading,
 		isChatStreaming,
 		isEditing,
-		getAddFilesHandler
+		getAddFilesHandler,
+		activeProcessingState
 	} from '$lib/stores/chat.svelte';
 	import {
 		conversationsStore,
@@ -32,11 +38,7 @@
 	import { modelsStore, modelOptions, selectedModelId } from '$lib/stores/models.svelte';
 	import { isFileTypeSupported, filterFilesByModalities } from '$lib/utils';
 	import { parseFilesToMessageExtras, processFilesToChatUploaded } from '$lib/utils/browser-only';
-	import { ErrorDialogType } from '$lib/enums';
 	import { onMount } from 'svelte';
-	import { fade, fly, slide } from 'svelte/transition';
-	import { Trash2, AlertTriangle, RefreshCw } from '@lucide/svelte';
-	import ChatScreenDragOverlay from './ChatScreenDragOverlay.svelte';
 
 	let { showCenteredEmpty = false } = $props();
 
@@ -79,6 +81,12 @@
 
 	let isCurrentConversationLoading = $derived(isLoading() || isChatStreaming());
 
+	let showProcessingInfo = $derived(
+		isCurrentConversationLoading ||
+			(config().keepStatsVisible && !!page.params.id) ||
+			activeProcessingState() !== null
+	);
+
 	let isRouter = $derived(isRouterMode());
 
 	let conversationModel = $derived(
@@ -108,9 +116,16 @@
 
 	let modelPropsVersion = $state(0);
 
+	setProcessingInfoContext({
+		get showProcessingInfo() {
+			return showProcessingInfo;
+		}
+	});
+
 	$effect(() => {
 		if (activeModelId) {
 			const cached = modelsStore.getModelProps(activeModelId);
+
 			if (!cached) {
 				modelsStore.fetchModelProps(activeModelId).then(() => {
 					modelPropsVersion++;
@@ -122,6 +137,7 @@
 	let hasAudioModality = $derived.by(() => {
 		if (activeModelId) {
 			void modelPropsVersion;
+
 			return modelsStore.modelSupportsAudio(activeModelId);
 		}
 
@@ -208,20 +224,13 @@
 		processFiles(files);
 	}
 
-	function handleKeydown(event: KeyboardEvent) {
-		const isCtrlOrCmd = event.ctrlKey || event.metaKey;
-
-		if (
-			isCtrlOrCmd &&
-			event.shiftKey &&
-			(event.key === KeyboardKey.D_LOWER || event.key === KeyboardKey.D_UPPER)
-		) {
-			event.preventDefault();
+	const { handleKeydown } = useKeyboardShortcuts({
+		deleteActiveConversation: () => {
 			if (activeConversation()) {
 				showDeleteDialog = true;
 			}
 		}
-	}
+	});
 
 	async function handleSystemPromptAdd(draft: { message: string; files: ChatUploadedFile[] }) {
 		if (draft.message || draft.files.length > 0) {
@@ -342,9 +351,9 @@
 
 <svelte:window onkeydown={handleKeydown} />
 
-<ChatScreenHeader />
-
-{#if !isEmpty}
+{#if isServerLoading}
+	<ServerLoadingSplash />
+{:else}
 	<div
 		bind:this={chatScrollContainer}
 		aria-label="Chat interface with file drop zone"
@@ -356,26 +365,42 @@
 		onscroll={handleScroll}
 		role="main"
 	>
-		<div class="flex flex-col">
-			<ChatMessages
-				class="mb-16 md:mb-24"
-				messages={activeMessages()}
-				onUserAction={() => {
-					autoScroll.enable();
-					autoScroll.scrollToBottom();
-				}}
-			/>
+		<div class="flex grow flex-col pt-14">
+			{#if !isEmpty}
+				<ChatMessages
+					messages={activeMessages()}
+					onUserAction={() => {
+						autoScroll.enable();
+						autoScroll.scrollToBottom();
+					}}
+				/>
+			{/if}
 
 			<div
-				class="pointer-events-none sticky right-0 bottom-4 left-0 mt-auto"
-				in:slide={{ duration: 150, axis: 'y' }}
+				class="pointer-events-none {isEmpty
+					? 'absolute bottom-[calc(50dvh-7rem)]'
+					: 'sticky bottom-4'} right-4 left-4 mt-auto pt-16 transition-all duration-200"
 			>
-				<ChatScreenProcessingInfo />
+				{#if isEmpty}
+					<div class="mb-8 px-4 text-center" use:fadeInView={{ duration: 300 }}>
+						<h1 class="mb-2 text-2xl font-semibold tracking-tight md:text-3xl">Hello there</h1>
+
+						<p class="text-muted-foreground md:text-lg">
+							{serverStore.props?.modalities?.audio
+								? 'Record audio, type a message '
+								: 'Type a message'} or upload files to get started
+						</p>
+					</div>
+				{/if}
+
+				{#if page.params.id}
+					<ChatScreenProcessingInfo />
+				{/if}
 
 				{#if hasPropsError}
 					<div
 						class="pointer-events-auto mx-auto mb-4 max-w-[48rem] px-1"
-						in:fly={{ y: 10, duration: 250 }}
+						use:fadeInView={{ y: 10, duration: 250 }}
 					>
 						<Alert.Root variant="destructive">
 							<AlertTriangle class="h-4 w-4" />
@@ -405,146 +430,15 @@
 						onSend={handleSendMessage}
 						onStop={() => chatStore.stopGeneration()}
 						onSystemPromptAdd={handleSystemPromptAdd}
-						showHelperText={false}
 						bind:uploadedFiles
 					/>
 				</div>
 			</div>
 		</div>
 	</div>
-{:else if isServerLoading}
-	<!-- Server Loading State -->
-	<ServerLoadingSplash />
-{:else}
-	<div
-		aria-label="Welcome screen with file drop zone"
-		class="flex h-full items-center justify-center"
-		ondragenter={handleDragEnter}
-		ondragleave={handleDragLeave}
-		ondragover={handleDragOver}
-		ondrop={handleDrop}
-		role="main"
-	>
-		<div class="w-full max-w-[48rem] px-4">
-			<div class="mb-10 text-center" in:fade={{ duration: 300 }}>
-				<h1 class="mb-2 text-2xl font-semibold tracking-tight md:text-3xl">llama.cpp</h1>
-
-				<p class="text-muted-foreground md:text-lg">
-					{serverStore.props?.modalities?.audio
-						? 'Record audio, type a message '
-						: 'Type a message'} or upload files to get started
-				</p>
-			</div>
-
-			{#if hasPropsError}
-				<div class="mb-4" in:fly={{ y: 10, duration: 250 }}>
-					<Alert.Root variant="destructive">
-						<AlertTriangle class="h-4 w-4" />
-
-						<Alert.Title class="flex items-center justify-between">
-							<span>Server unavailable</span>
-
-							<button
-								onclick={() => serverStore.fetch()}
-								disabled={isServerLoading}
-								class="flex items-center gap-1.5 rounded-lg bg-destructive/20 px-2 py-1 text-xs font-medium hover:bg-destructive/30 disabled:opacity-50"
-							>
-								<RefreshCw class="h-3 w-3 {isServerLoading ? 'animate-spin' : ''}" />
-								{isServerLoading ? 'Retrying...' : 'Retry'}
-							</button>
-						</Alert.Title>
-
-						<Alert.Description>{serverError()}</Alert.Description>
-					</Alert.Root>
-				</div>
-			{/if}
-
-			<div in:fly={{ y: 10, duration: 250, delay: hasPropsError ? 0 : 300 }}>
-				<ChatScreenForm
-					disabled={hasPropsError}
-					{initialMessage}
-					isLoading={isCurrentConversationLoading}
-					onFileRemove={handleFileRemove}
-					onFileUpload={handleFileUpload}
-					onSend={handleSendMessage}
-					onStop={() => chatStore.stopGeneration()}
-					onSystemPromptAdd={handleSystemPromptAdd}
-					showHelperText
-					bind:uploadedFiles
-				/>
-			</div>
-		</div>
-	</div>
 {/if}
 
-<!-- File Upload Error Alert Dialog -->
-<AlertDialog.Root bind:open={showFileErrorDialog}>
-	<AlertDialog.Portal>
-		<AlertDialog.Overlay />
-
-		<AlertDialog.Content class="flex max-w-md flex-col">
-			<AlertDialog.Header>
-				<AlertDialog.Title>File Upload Error</AlertDialog.Title>
-
-				<AlertDialog.Description class="text-sm text-muted-foreground">
-					Some files cannot be uploaded with the current model.
-				</AlertDialog.Description>
-			</AlertDialog.Header>
-
-			<div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto">
-				{#if fileErrorData.generallyUnsupported.length > 0}
-					<div class="space-y-2">
-						<h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4>
-
-						<div class="space-y-1">
-							{#each fileErrorData.generallyUnsupported as file (file.name)}
-								<div class="rounded-md bg-destructive/10 px-3 py-2">
-									<p class="font-mono text-sm break-all text-destructive">
-										{file.name}
-									</p>
-
-									<p class="mt-1 text-xs text-muted-foreground">File type not supported</p>
-								</div>
-							{/each}
-						</div>
-					</div>
-				{/if}
-
-				{#if fileErrorData.modalityUnsupported.length > 0}
-					<div class="space-y-2">
-						<div class="space-y-1">
-							{#each fileErrorData.modalityUnsupported as file (file.name)}
-								<div class="rounded-md bg-destructive/10 px-3 py-2">
-									<p class="font-mono text-sm break-all text-destructive">
-										{file.name}
-									</p>
-
-									<p class="mt-1 text-xs text-muted-foreground">
-										{fileErrorData.modalityReasons[file.name] || 'Not supported by current model'}
-									</p>
-								</div>
-							{/each}
-						</div>
-					</div>
-				{/if}
-			</div>
-
-			<div class="rounded-md bg-muted/50 p-3">
-				<h4 class="mb-2 text-sm font-medium">This model supports:</h4>
-
-				<p class="text-sm text-muted-foreground">
-					{fileErrorData.supportedTypes.join(', ')}
-				</p>
-			</div>
-
-			<AlertDialog.Footer>
-				<AlertDialog.Action onclick={() => (showFileErrorDialog = false)}>
-					Got it
-				</AlertDialog.Action>
-			</AlertDialog.Footer>
-		</AlertDialog.Content>
-	</AlertDialog.Portal>
-</AlertDialog.Root>
+<DialogFileUploadError bind:open={showFileErrorDialog} {fileErrorData} />
 
 <DialogConfirmation
 	bind:open={showDeleteDialog}
@@ -575,21 +469,3 @@
 	open={Boolean(activeErrorDialog)}
 	type={activeErrorDialog?.type ?? ErrorDialogType.SERVER}
 />
-
-<style>
-	.conversation-chat-form {
-		position: relative;
-
-		&::after {
-			content: '';
-			position: absolute;
-			bottom: 0;
-			z-index: -1;
-			left: 0;
-			right: 0;
-			width: 100%;
-			height: 2.375rem;
-			background-color: var(--background);
-		}
-	}
-</style>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte
index 086044e8c..aa1c0536d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenForm.svelte
@@ -1,7 +1,9 @@
 <script lang="ts">
 	import { afterNavigate } from '$app/navigation';
-	import { ChatFormHelperText, ChatForm } from '$lib/components/app';
+	import { page } from '$app/state';
+	import { ChatForm } from '$lib/components/app';
 	import { onMount } from 'svelte';
+	import { useDraftMessages } from '$lib/hooks/use-draft-messages.svelte';
 
 	interface Props {
 		class?: string;
@@ -13,7 +15,6 @@
 		onSend?: (message: string, files?: ChatUploadedFile[]) => Promise<boolean>;
 		onStop?: () => void;
 		onSystemPromptAdd?: (draft: { message: string; files: ChatUploadedFile[] }) => void;
-		showHelperText?: boolean;
 		uploadedFiles?: ChatUploadedFile[];
 	}
 
@@ -27,36 +28,31 @@
 		onSend,
 		onStop,
 		onSystemPromptAdd,
-		showHelperText = true,
 		uploadedFiles = $bindable([])
 	}: Props = $props();
 
 	let chatFormRef: ChatForm | undefined = $state(undefined);
+	let chatId = $derived(page.params.id as string | undefined);
+	let hasLoadingAttachments = $derived(uploadedFiles.some((f) => f.isLoading));
 	let message = $derived(initialMessage);
 	let previousIsLoading = $derived(isLoading);
 	let previousInitialMessage = $derived(initialMessage);
 
-	// Sync message when initialMessage prop changes (e.g., after draft restoration)
-	$effect(() => {
-		if (initialMessage !== previousInitialMessage) {
-			message = initialMessage;
-			previousInitialMessage = initialMessage;
-		}
+	const { clearDraft } = useDraftMessages({
+		getChatId: () => chatId,
+		getMessage: () => message,
+		getFiles: () => uploadedFiles,
+		setMessage: (m) => (message = m),
+		setFiles: (f) => (uploadedFiles = f),
+		getInitialMessage: () => initialMessage
 	});
 
-	function handleSystemPromptClick() {
-		onSystemPromptAdd?.({ message, files: uploadedFiles });
+	function handleFilesAdd(files: File[]) {
+		onFileUpload?.(files);
 	}
 
-	let hasLoadingAttachments = $derived(uploadedFiles.some((f) => f.isLoading));
-
 	async function handleSubmit() {
-		if (
-			(!message.trim() && uploadedFiles.length === 0) ||
-			disabled ||
-			isLoading ||
-			hasLoadingAttachments
-		)
+		if ((!message.trim() && uploadedFiles.length === 0) || disabled || hasLoadingAttachments)
 			return;
 
 		if (!chatFormRef?.checkModelSelected()) return;
@@ -66,6 +62,7 @@
 
 		message = '';
 		uploadedFiles = [];
+		clearDraft();
 
 		chatFormRef?.resetTextareaHeight();
 
@@ -77,8 +74,8 @@
 		}
 	}
 
-	function handleFilesAdd(files: File[]) {
-		onFileUpload?.(files);
+	function handleSystemPromptClick() {
+		onSystemPromptAdd?.({ message, files: uploadedFiles });
 	}
 
 	function handleUploadedFileRemove(fileId: string) {
@@ -89,8 +86,17 @@
 		setTimeout(() => chatFormRef?.focus(), 10);
 	});
 
-	afterNavigate(() => {
-		setTimeout(() => chatFormRef?.focus(), 10);
+	afterNavigate((navigation) => {
+		if (navigation?.from != null) {
+			setTimeout(() => chatFormRef?.focus(), 10);
+		}
+	});
+
+	$effect(() => {
+		if (initialMessage !== previousInitialMessage) {
+			message = initialMessage;
+			previousInitialMessage = initialMessage;
+		}
 	});
 
 	$effect(() => {
@@ -118,5 +124,3 @@
 		onUploadedFileRemove={handleUploadedFileRemove}
 	/>
 </div>
-
-<ChatFormHelperText show={showHelperText} />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
deleted file mode 100644
index 0a920be6f..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenHeader.svelte
+++ /dev/null
@@ -1,26 +0,0 @@
-<script lang="ts">
-	import { Settings } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import { useSidebar } from '$lib/components/ui/sidebar';
-	import { getChatSettingsDialogContext } from '$lib/contexts';
-
-	const sidebar = useSidebar();
-	const chatSettingsDialog = getChatSettingsDialogContext();
-</script>
-
-<header
-	class="pointer-events-none fixed top-0 right-0 left-0 z-50 flex items-center justify-end p-2 duration-200 ease-linear md:p-4 {sidebar.open
-		? 'md:left-[var(--sidebar-width)]'
-		: ''}"
->
-	<div class="pointer-events-auto flex items-center space-x-2">
-		<Button
-			variant="ghost"
-			size="icon-lg"
-			onclick={() => chatSettingsDialog.open()}
-			class="rounded-full backdrop-blur-lg"
-		>
-			<Settings class="h-4 w-4" />
-		</Button>
-	</div>
-</header>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
index 8c88480ce..b5979db13 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
+++ b/tools/server/webui/src/lib/components/app/chat/ChatScreen/ChatScreenProcessingInfo.svelte
@@ -5,18 +5,17 @@
 	import { chatStore, isLoading, isChatStreaming } from '$lib/stores/chat.svelte';
 	import { activeMessages, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
+	import { getProcessingInfoContext } from '$lib/contexts';
 
 	const processingState = useProcessingState();
+	const processingInfoCtx = getProcessingInfoContext();
+
+	let showProcessingInfo = $derived(processingInfoCtx.showProcessingInfo);
 
 	let isCurrentConversationLoading = $derived(isLoading());
 	let isStreaming = $derived(isChatStreaming());
-	let hasProcessingData = $derived(processingState.processingState !== null);
 	let processingDetails = $derived(processingState.getTechnicalDetails());
 
-	let showProcessingInfo = $derived(
-		isCurrentConversationLoading || isStreaming || config().keepStatsVisible || hasProcessingData
-	);
-
 	$effect(() => {
 		const conversation = activeConversation();
 
@@ -60,7 +59,9 @@
 	});
 </script>
 
-<div class="chat-processing-info-container pointer-events-none" class:visible={showProcessingInfo}>
+<div
+	class={['chat-processing-info-container pointer-events-none', showProcessingInfo && 'visible']}
+>
 	<div class="chat-processing-info-content">
 		{#each processingDetails as detail (detail)}
 			<span class="chat-processing-info-detail pointer-events-auto backdrop-blur-sm">{detail}</span>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
deleted file mode 100644
index 995dd1fdd..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettings.svelte
+++ /dev/null
@@ -1,560 +0,0 @@
-<script lang="ts">
-	import {
-		Settings,
-		Funnel,
-		AlertTriangle,
-		Code,
-		Monitor,
-		ChevronLeft,
-		ChevronRight,
-		Database
-	} from '@lucide/svelte';
-	import {
-		ChatSettingsFooter,
-		ChatSettingsImportExportTab,
-		ChatSettingsFields,
-		McpLogo,
-		McpServersSettings
-	} from '$lib/components/app';
-	import { ScrollArea } from '$lib/components/ui/scroll-area';
-	import { config, settingsStore } from '$lib/stores/settings.svelte';
-	import {
-		SETTINGS_SECTION_TITLES,
-		type SettingsSectionTitle,
-		NUMERIC_FIELDS,
-		POSITIVE_INTEGER_FIELDS,
-		SETTINGS_COLOR_MODES_CONFIG,
-		SETTINGS_KEYS
-	} from '$lib/constants';
-	import { setMode } from 'mode-watcher';
-	import { ColorMode } from '$lib/enums/ui';
-	import { SettingsFieldType } from '$lib/enums/settings';
-	import type { Component } from 'svelte';
-
-	interface Props {
-		onSave?: () => void;
-		initialSection?: SettingsSectionTitle;
-	}
-
-	let { onSave, initialSection }: Props = $props();
-
-	const settingSections: Array<{
-		fields: SettingsFieldConfig[];
-		icon: Component;
-		title: SettingsSectionTitle;
-	}> = [
-		{
-			title: SETTINGS_SECTION_TITLES.GENERAL,
-			icon: Settings,
-			fields: [
-				{
-					key: SETTINGS_KEYS.THEME,
-					label: 'Theme',
-					type: SettingsFieldType.SELECT,
-					options: SETTINGS_COLOR_MODES_CONFIG
-				},
-				{ key: SETTINGS_KEYS.API_KEY, label: 'API Key', type: SettingsFieldType.INPUT },
-				{
-					key: SETTINGS_KEYS.SYSTEM_MESSAGE,
-					label: 'System Message',
-					type: SettingsFieldType.TEXTAREA
-				},
-				{
-					key: SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,
-					label: 'Paste long text to file length',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,
-					label: 'Copy text attachments as plain text',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,
-					label: 'Enable "Continue" button',
-					type: SettingsFieldType.CHECKBOX,
-					isExperimental: true
-				},
-				{
-					key: SETTINGS_KEYS.PDF_AS_IMAGE,
-					label: 'Parse PDF as image',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,
-					label: 'Ask for confirmation before changing conversation title',
-					type: SettingsFieldType.CHECKBOX
-				}
-			]
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.DISPLAY,
-			icon: Monitor,
-			fields: [
-				{
-					key: SETTINGS_KEYS.SHOW_MESSAGE_STATS,
-					label: 'Show message generation statistics',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,
-					label: 'Show thought in progress',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.KEEP_STATS_VISIBLE,
-					label: 'Keep stats visible after generation',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,
-					label: 'Show microphone on empty input',
-					type: SettingsFieldType.CHECKBOX,
-					isExperimental: true
-				},
-				{
-					key: SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,
-					label: 'Render user content as Markdown',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,
-					label: 'Use full height code blocks',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.DISABLE_AUTO_SCROLL,
-					label: 'Disable automatic scroll',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,
-					label: 'Always show sidebar on desktop',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.AUTO_SHOW_SIDEBAR_ON_NEW_CHAT,
-					label: 'Auto-show sidebar on new chat',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,
-					label: 'Show raw model names',
-					type: SettingsFieldType.CHECKBOX
-				}
-			]
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.SAMPLING,
-			icon: Funnel,
-			fields: [
-				{
-					key: SETTINGS_KEYS.TEMPERATURE,
-					label: 'Temperature',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DYNATEMP_RANGE,
-					label: 'Dynamic temperature range',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DYNATEMP_EXPONENT,
-					label: 'Dynamic temperature exponent',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.TOP_K,
-					label: 'Top K',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.TOP_P,
-					label: 'Top P',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.MIN_P,
-					label: 'Min P',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.XTC_PROBABILITY,
-					label: 'XTC probability',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.XTC_THRESHOLD,
-					label: 'XTC threshold',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.TYP_P,
-					label: 'Typical P',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.MAX_TOKENS,
-					label: 'Max tokens',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.SAMPLERS,
-					label: 'Samplers',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.BACKEND_SAMPLING,
-					label: 'Backend sampling',
-					type: SettingsFieldType.CHECKBOX
-				}
-			]
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.PENALTIES,
-			icon: AlertTriangle,
-			fields: [
-				{
-					key: SETTINGS_KEYS.REPEAT_LAST_N,
-					label: 'Repeat last N',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.REPEAT_PENALTY,
-					label: 'Repeat penalty',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.PRESENCE_PENALTY,
-					label: 'Presence penalty',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.FREQUENCY_PENALTY,
-					label: 'Frequency penalty',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DRY_MULTIPLIER,
-					label: 'DRY multiplier',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DRY_BASE,
-					label: 'DRY base',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DRY_ALLOWED_LENGTH,
-					label: 'DRY allowed length',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.DRY_PENALTY_LAST_N,
-					label: 'DRY penalty last N',
-					type: SettingsFieldType.INPUT
-				}
-			]
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.IMPORT_EXPORT,
-			icon: Database,
-			fields: []
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.MCP,
-			icon: McpLogo,
-			fields: [
-				{
-					key: SETTINGS_KEYS.AGENTIC_MAX_TURNS,
-					label: 'Agentic loop max turns',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,
-					label: 'Always show agentic turns in conversation',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,
-					label: 'Max lines per tool preview',
-					type: SettingsFieldType.INPUT
-				},
-				{
-					key: SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,
-					label: 'Show tool call in progress',
-					type: SettingsFieldType.CHECKBOX
-				}
-			]
-		},
-		{
-			title: SETTINGS_SECTION_TITLES.DEVELOPER,
-			icon: Code,
-			fields: [
-				{
-					key: SETTINGS_KEYS.DISABLE_REASONING_PARSING,
-					label: 'Disable reasoning content parsing',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,
-					label: 'Exclude reasoning from context',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,
-					label: 'Enable raw output toggle',
-					type: SettingsFieldType.CHECKBOX
-				},
-				{
-					key: SETTINGS_KEYS.CUSTOM,
-					label: 'Custom JSON',
-					type: SettingsFieldType.TEXTAREA
-				}
-			]
-		}
-		// TODO: Experimental features section will be implemented after initial release
-		// This includes Python interpreter (Pyodide integration) and other experimental features
-		// {
-		// 	title: 'Experimental',
-		// 	icon: Beaker,
-		// 	fields: [
-		// 		{
-		// 			key: 'pyInterpreterEnabled',
-		// 			label: 'Enable Python interpreter',
-		// 			type: 'checkbox'
-		// 		}
-		// 	]
-		// }
-	];
-
-	let activeSection = $derived<SettingsSectionTitle>(
-		initialSection ?? SETTINGS_SECTION_TITLES.GENERAL
-	);
-	let currentSection = $derived(
-		settingSections.find((section) => section.title === activeSection) || settingSections[0]
-	);
-	let localConfig: SettingsConfigType = $state({ ...config() });
-
-	let canScrollLeft = $state(false);
-	let canScrollRight = $state(false);
-	let scrollContainer: HTMLDivElement | undefined = $state();
-
-	$effect(() => {
-		if (initialSection) {
-			activeSection = initialSection;
-		}
-	});
-
-	function handleThemeChange(newTheme: string) {
-		localConfig.theme = newTheme;
-
-		setMode(newTheme as ColorMode);
-	}
-
-	function handleConfigChange(key: string, value: string | boolean) {
-		localConfig[key] = value;
-	}
-
-	function handleReset() {
-		localConfig = { ...config() };
-
-		setMode(localConfig.theme as ColorMode);
-	}
-
-	function handleSave() {
-		if (localConfig.custom && typeof localConfig.custom === 'string' && localConfig.custom.trim()) {
-			try {
-				JSON.parse(localConfig.custom);
-			} catch (error) {
-				alert('Invalid JSON in custom parameters. Please check the format and try again.');
-				console.error(error);
-				return;
-			}
-		}
-
-		// Convert numeric strings to numbers for numeric fields
-		const processedConfig = { ...localConfig };
-
-		for (const field of NUMERIC_FIELDS) {
-			if (processedConfig[field] !== undefined && processedConfig[field] !== '') {
-				const numValue = Number(processedConfig[field]);
-				if (!isNaN(numValue)) {
-					if ((POSITIVE_INTEGER_FIELDS as readonly string[]).includes(field)) {
-						processedConfig[field] = Math.max(1, Math.round(numValue));
-					} else {
-						processedConfig[field] = numValue;
-					}
-				} else {
-					alert(`Invalid numeric value for ${field}. Please enter a valid number.`);
-					return;
-				}
-			}
-		}
-
-		settingsStore.updateMultipleConfig(processedConfig);
-		onSave?.();
-	}
-
-	function scrollToCenter(element: HTMLElement) {
-		if (!scrollContainer) return;
-
-		const containerRect = scrollContainer.getBoundingClientRect();
-		const elementRect = element.getBoundingClientRect();
-
-		const elementCenter = elementRect.left + elementRect.width / 2;
-		const containerCenter = containerRect.left + containerRect.width / 2;
-		const scrollOffset = elementCenter - containerCenter;
-
-		scrollContainer.scrollBy({ left: scrollOffset, behavior: 'smooth' });
-	}
-
-	function scrollLeft() {
-		if (!scrollContainer) return;
-
-		scrollContainer.scrollBy({ left: -250, behavior: 'smooth' });
-	}
-
-	function scrollRight() {
-		if (!scrollContainer) return;
-
-		scrollContainer.scrollBy({ left: 250, behavior: 'smooth' });
-	}
-
-	function updateScrollButtons() {
-		if (!scrollContainer) return;
-
-		const { scrollLeft, scrollWidth, clientWidth } = scrollContainer;
-		canScrollLeft = scrollLeft > 0;
-		canScrollRight = scrollLeft < scrollWidth - clientWidth - 1; // -1 for rounding
-	}
-
-	export function reset() {
-		localConfig = { ...config() };
-
-		setTimeout(updateScrollButtons, 100);
-	}
-
-	$effect(() => {
-		if (scrollContainer) {
-			updateScrollButtons();
-		}
-	});
-</script>
-
-<div class="flex h-full flex-col overflow-hidden md:flex-row">
-	<!-- Desktop Sidebar -->
-	<div class="hidden w-64 border-r border-border/30 p-6 md:block">
-		<nav class="space-y-1 py-2">
-			{#each settingSections as section (section.title)}
-				<button
-					class="flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent {activeSection ===
-					section.title
-						? 'bg-accent text-accent-foreground'
-						: 'text-muted-foreground'}"
-					onclick={() => (activeSection = section.title)}
-				>
-					<section.icon class="h-4 w-4" />
-
-					<span class="ml-2">{section.title}</span>
-				</button>
-			{/each}
-		</nav>
-	</div>
-
-	<!-- Mobile Header with Horizontal Scrollable Menu -->
-	<div class="flex flex-col pt-6 md:hidden">
-		<div class="border-b border-border/30 pt-4 md:py-4">
-			<!-- Horizontal Scrollable Category Menu with Navigation -->
-			<div class="relative flex items-center" style="scroll-padding: 1rem;">
-				<button
-					class="absolute left-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent {canScrollLeft
-						? 'opacity-100'
-						: 'pointer-events-none opacity-0'}"
-					onclick={scrollLeft}
-					aria-label="Scroll left"
-				>
-					<ChevronLeft class="h-4 w-4" />
-				</button>
-
-				<div
-					class="scrollbar-hide overflow-x-auto py-2"
-					bind:this={scrollContainer}
-					onscroll={updateScrollButtons}
-				>
-					<div class="flex min-w-max gap-2">
-						{#each settingSections as section (section.title)}
-							<button
-								class="flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap transition-colors first:ml-4 last:mr-4 hover:bg-accent {activeSection ===
-								section.title
-									? 'bg-accent text-accent-foreground'
-									: 'text-muted-foreground'}"
-								onclick={(e: MouseEvent) => {
-									activeSection = section.title;
-									scrollToCenter(e.currentTarget as HTMLElement);
-								}}
-							>
-								<section.icon class="h-4 w-4 flex-shrink-0" />
-								<span>{section.title}</span>
-							</button>
-						{/each}
-					</div>
-				</div>
-
-				<button
-					class="absolute right-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent {canScrollRight
-						? 'opacity-100'
-						: 'pointer-events-none opacity-0'}"
-					onclick={scrollRight}
-					aria-label="Scroll right"
-				>
-					<ChevronRight class="h-4 w-4" />
-				</button>
-			</div>
-		</div>
-	</div>
-
-	<ScrollArea class="max-h-[calc(100dvh-13.5rem)] flex-1 md:max-h-[calc(100vh-13.5rem)]">
-		<div class="space-y-6 p-4 md:p-6">
-			<div class="grid">
-				<div class="mb-6 flex hidden items-center gap-2 border-b border-border/30 pb-6 md:flex">
-					<currentSection.icon class="h-5 w-5" />
-
-					<h3 class="text-lg font-semibold">{currentSection.title}</h3>
-				</div>
-
-				{#if currentSection.title === SETTINGS_SECTION_TITLES.IMPORT_EXPORT}
-					<ChatSettingsImportExportTab />
-				{:else if currentSection.title === SETTINGS_SECTION_TITLES.MCP}
-					<div class="space-y-6">
-						<ChatSettingsFields
-							fields={currentSection.fields}
-							{localConfig}
-							onConfigChange={handleConfigChange}
-							onThemeChange={handleThemeChange}
-						/>
-
-						<div class="border-t border-border/30 pt-6">
-							<McpServersSettings />
-						</div>
-					</div>
-				{:else}
-					<div class="space-y-6">
-						<ChatSettingsFields
-							fields={currentSection.fields}
-							{localConfig}
-							onConfigChange={handleConfigChange}
-							onThemeChange={handleThemeChange}
-						/>
-					</div>
-				{/if}
-			</div>
-
-			<div class="mt-8 border-t pt-6">
-				<p class="text-xs text-muted-foreground">Settings are saved in browser's localStorage</p>
-			</div>
-		</div>
-	</ScrollArea>
-</div>
-
-<ChatSettingsFooter onReset={handleReset} onSave={handleSave} />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte
deleted file mode 100644
index e0d379f6d..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarActions.svelte
+++ /dev/null
@@ -1,102 +0,0 @@
-<script lang="ts">
-	import { Search, SquarePen, X } from '@lucide/svelte';
-	import { KeyboardShortcutInfo } from '$lib/components/app';
-	import { Button } from '$lib/components/ui/button';
-	import { Input } from '$lib/components/ui/input';
-	import { McpLogo } from '$lib/components/app';
-	import { SETTINGS_SECTION_TITLES } from '$lib/constants';
-	import { getChatSettingsDialogContext } from '$lib/contexts';
-
-	interface Props {
-		handleMobileSidebarItemClick: () => void;
-		isSearchModeActive: boolean;
-		searchQuery: string;
-	}
-
-	let {
-		handleMobileSidebarItemClick,
-		isSearchModeActive = $bindable(),
-		searchQuery = $bindable()
-	}: Props = $props();
-
-	let searchInput: HTMLInputElement | null = $state(null);
-
-	const chatSettingsDialog = getChatSettingsDialogContext();
-
-	function handleSearchModeDeactivate() {
-		isSearchModeActive = false;
-		searchQuery = '';
-	}
-
-	$effect(() => {
-		if (isSearchModeActive) {
-			searchInput?.focus();
-		}
-	});
-</script>
-
-<div class="my-1 space-y-1">
-	{#if isSearchModeActive}
-		<div class="relative">
-			<Search class="absolute top-2.5 left-2 h-4 w-4 text-muted-foreground" />
-
-			<Input
-				bind:ref={searchInput}
-				bind:value={searchQuery}
-				onkeydown={(e) => e.key === 'Escape' && handleSearchModeDeactivate()}
-				placeholder="Search conversations..."
-				class="pl-8"
-			/>
-
-			<X
-				class="cursor-pointertext-muted-foreground absolute top-2.5 right-2 h-4 w-4"
-				onclick={handleSearchModeDeactivate}
-			/>
-		</div>
-	{:else}
-		<Button
-			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
-			href="?new_chat=true#/"
-			onclick={handleMobileSidebarItemClick}
-			variant="ghost"
-		>
-			<div class="flex items-center gap-2">
-				<SquarePen class="h-4 w-4" />
-
-				New chat
-			</div>
-
-			<KeyboardShortcutInfo keys={['shift', 'cmd', 'o']} />
-		</Button>
-
-		<Button
-			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
-			onclick={() => {
-				isSearchModeActive = true;
-			}}
-			variant="ghost"
-		>
-			<div class="flex items-center gap-2">
-				<Search class="h-4 w-4" />
-
-				Search
-			</div>
-
-			<KeyboardShortcutInfo keys={['cmd', 'k']} />
-		</Button>
-
-		<Button
-			class="w-full justify-between backdrop-blur-none! hover:[&>kbd]:opacity-100"
-			onclick={() => {
-				chatSettingsDialog.open(SETTINGS_SECTION_TITLES.MCP);
-			}}
-			variant="ghost"
-		>
-			<div class="flex items-center gap-2">
-				<McpLogo class="h-4 w-4" />
-
-				MCP Servers
-			</div>
-		</Button>
-	{/if}
-</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts b/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts
deleted file mode 100644
index 4b9b87657..000000000
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/handle-mobile-sidebar-item-click.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { useSidebar } from '$lib/components/ui/sidebar';
-
-const sidebar = useSidebar();
-
-export function handleMobileSidebarItemClick() {
-	if (sidebar.isMobile) {
-		sidebar.toggle();
-	}
-}
diff --git a/tools/server/webui/src/lib/components/app/chat/index.ts b/tools/server/webui/src/lib/components/app/chat/index.ts
index 88690086c..5f6597980 100644
--- a/tools/server/webui/src/lib/components/app/chat/index.ts
+++ b/tools/server/webui/src/lib/components/app/chat/index.ts
@@ -22,7 +22,7 @@
  * **Architecture:**
  * - Delegates rendering to specialized thumbnail components based on attachment type
  * - Manages scroll state and navigation arrows for horizontal overflow
- * - Integrates with DialogChatAttachmentPreview for full-size viewing
+ * - Integrates with DialogChatAttachmentsPreview for full-size gallery/single viewing
  * - Validates vision modality support via `activeModelId` prop
  *
  * **Features:**
@@ -49,55 +49,53 @@
  * />
  * ```
  */
-export { default as ChatAttachmentsList } from './ChatAttachments/ChatAttachmentsList.svelte';
+export { default as ChatAttachmentsList } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsList.svelte';
+
+/**
+ * Renders a single attachment item based on its type (image, file, MCP prompt, or MCP resource).
+ * Delegates to specialized sub-components: ChatAttachmentsListItemThumbnailImage, ChatAttachmentsListItemThumbnailFile,
+ * ChatAttachmentsListItemMcpPrompt, or ChatAttachmentsListItemMcpResource.
+ */
+export { default as ChatAttachmentsListItem } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItem.svelte';
 
 /**
  * Displays MCP Prompt attachment with expandable content preview.
  * Shows server name, prompt name, and allows expanding to view full prompt arguments
- * and content. Used when user selects a prompt from ChatFormPromptPicker.
+ * and content. Used when user selects a prompt from ChatFormPickerMcpPrompts.
  */
-export { default as ChatAttachmentMcpPrompt } from './ChatAttachments/ChatAttachmentMcpPrompt.svelte';
+export { default as ChatAttachmentsListItemMcpPrompt } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpPrompt.svelte';
 
 /**
  * Displays a single MCP Resource attachment with icon, name, and server info.
  * Shows loading/error states and supports remove action.
  * Used within ChatAttachmentMcpResources for individual resource display.
  */
-export { default as ChatAttachmentMcpResource } from './ChatAttachments/ChatAttachmentMcpResource.svelte';
-
-/**
- * Full-size attachment preview component for dialog display. Handles different file types:
- * images (full-size display), text files (syntax highlighted), PDFs (text extraction or image preview),
- * audio (placeholder with download), and generic files (download option).
- */
-export { default as ChatAttachmentPreview } from './ChatAttachments/ChatAttachmentPreview.svelte';
-
-/**
- * Displays MCP Resource attachments as a horizontal carousel.
- * Shows resource name, URI, and allows clicking to view resource content.
- */
-export { default as ChatAttachmentMcpResources } from './ChatAttachments/ChatAttachmentMcpResources.svelte';
+export { default as ChatAttachmentsListItemMcpResource } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemMcpResource.svelte';
 
 /**
  * Thumbnail for non-image file attachments. Displays file type icon based on extension,
  * file name (truncated), and file size.
  * Handles text files, PDFs, audio, and other document types.
  */
-export { default as ChatAttachmentThumbnailFile } from './ChatAttachments/ChatAttachmentThumbnailFile.svelte';
+export { default as ChatAttachmentsListItemThumbnailFile } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailFile.svelte';
 
 /**
  * Thumbnail for image attachments with lazy loading and error fallback.
  * Displays image preview with configurable dimensions. Falls back to placeholder
  * on load error.
  */
-export { default as ChatAttachmentThumbnailImage } from './ChatAttachments/ChatAttachmentThumbnailImage.svelte';
+export { default as ChatAttachmentsListItemThumbnailImage } from './ChatAttachments/ChatAttachmentsList/ChatAttachmentsListItem/ChatAttachmentsListItemThumbnailImage.svelte';
 
 /**
- * Grid view of all attachments for "View All" dialog. Displays all attachments
- * in a responsive grid layout when there are too many to show inline.
- * Triggered by "+X more" button in ChatAttachmentsList.
+ * Unified attachment preview component for dialog display. Shows a single file
+ * preview without carousel, or a gallery/carousel view when multiple items exist.
+ * Uses ChatAttachmentPreviewSingle internally for each item's content.
  */
-export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachmentsViewAll.svelte';
+export { default as ChatAttachmentsPreview } from './ChatAttachments/ChatAttachmentsPreview.svelte';
+export { default as ChatAttachmentsPreviewNavButtons } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewNavButtons.svelte';
+export { default as ChatAttachmentsPreviewFileInfo } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewFileInfo.svelte';
+export { default as ChatAttachmentsPreviewThumbnailStrip } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewThumbnailStrip.svelte';
+export { default as ChatAttachmentsPreviewCurrentItem } from './ChatAttachments/ChatAttachmentsPreview/ChatAttachmentsPreviewCurrentItem/ChatAttachmentsPreviewCurrentItem.svelte';
 
 /**
  *
@@ -122,9 +120,9 @@ export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachm
  * Used by ChatScreenForm and ChatMessageEditForm for both new conversations and message editing.
  *
  * **Architecture:**
- * - Composes ChatFormTextarea, ChatFormActions, and ChatFormPromptPicker
+ * - Composes ChatFormTextarea, ChatFormActions, and ChatFormPickerMcpPrompts
  * - Manages file upload state via `uploadedFiles` bindable prop
- * - Integrates with ModelsSelector for model selection in router mode
+ * - Integrates with ModelsSelectorDropdown for model selection in router mode
  * - Communicates with parent via callbacks (onSubmit, onFilesAdd, onStop, etc.)
  *
  * **Input Handling:**
@@ -164,18 +162,12 @@ export { default as ChatAttachmentsViewAll } from './ChatAttachments/ChatAttachm
 export { default as ChatForm } from './ChatForm/ChatForm.svelte';
 
 /**
- * Dropdown button for file attachment selection. Opens a menu with options for
- * Images, Text Files, and PDF Files. Each option filters the file picker to
- * appropriate types. Images option is disabled when model lacks vision modality.
- */
-export { default as ChatFormActionAttachmentsDropdown } from './ChatForm/ChatFormActions/ChatFormActionAttachmentsDropdown.svelte';
-
-/**
- * Mobile sheet variant of the file attachment selector. Renders a bottom sheet
- * with the same options as ChatFormActionAttachmentsDropdown, optimized for
- * touch interaction on mobile devices.
+ * Wrapper component for the "add to chat" button (Plus icon).
+ * Exposes a `button` snippet that can be used inside DropdownMenu.Trigger (desktop)
+ * or Sheet.Root (mobile) to maintain consistent styling while allowing
+ * platform-specific trigger wrappers.
  */
-export { default as ChatFormActionAttachmentsSheet } from './ChatForm/ChatFormActions/ChatFormActionAttachmentsSheet.svelte';
+export { default as ChatFormActionsAdd } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionsAdd.svelte';
 
 /**
  * Audio recording button with real-time recording indicator. Records audio
@@ -198,15 +190,66 @@ export { default as ChatFormActions } from './ChatForm/ChatFormActions/ChatFormA
  */
 export { default as ChatFormActionSubmit } from './ChatForm/ChatFormActions/ChatFormActionSubmit.svelte';
 
+/**
+ * Model selector component for the chat form action bar. Renders either a dropdown
+ * (desktop) or bottom sheet (mobile) for selecting the conversation model in router mode.
+ * Exposes an `open` method for programmatically opening the selector.
+ */
+export { default as ChatFormActionModels } from './ChatForm/ChatFormActions/ChatFormActionModels.svelte';
+
+/**
+ * Dropdown submenu for managing tool permissions in the chat form.
+ *
+ * Displays a collapsible list of available tools organized by group (Built-in / JSON Schema).
+ * Each group can be expanded to show individual tools with checkboxes for enabling/disabling.
+ * Provides bulk enable/disable controls per group and shows enabled/total tool counts.
+ * Opens the tools panel on the server when the menu opens.
+ *
+ * Features:
+ * - Grouped tools with collapsible sections
+ * - Group favicon display (MCP server icons)
+ * - Per-group and per-tool toggle checkboxes
+ * - Loading/error states for tool discovery
+ * - Integration with toolsPanel for state management
+ *
+ * @example
+ * ```svelte
+ * <ChatFormActionAddToolsSubmenu />
+ * ```
+ */
+export { default as ChatFormActionAddToolsSubmenu } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddToolsSubmenu.svelte';
+
+/**
+ * Dropdown submenu for managing MCP servers in the chat form.
+ *
+ * Displays a searchable list of enabled MCP servers with toggle switches
+ * to enable/disable each server for chat. Shows server favicon, health status,
+ * and a "Manage MCP Servers" settings link.
+ *
+ * Features:
+ * - Search/filter servers by name or URL
+ * - Per-server toggle to enable/disable for chat
+ * - Health check indicator (shows "Error" badge for failed servers)
+ * - Server favicon display
+ * - Settings link to manage MCP server configuration
+ *
+ * @example
+ * ```svelte
+ * <ChatFormActionAddMcpServersSubmenu onMcpSettingsClick={handleMcpSettingsClick} />
+ * ```
+ */
+export { default as ChatFormActionAddMcpServersSubmenu } from './ChatForm/ChatFormActions/ChatFormActionAdd/ChatFormActionAddMcpServersSubmenu.svelte';
+
 /**
  * Hidden file input element for programmatic file selection.
  */
 export { default as ChatFormFileInputInvisible } from './ChatForm/ChatFormFileInputInvisible.svelte';
 
 /**
- * Helper text display below chat.
+ * Displays MCP Resource attachments as a horizontal carousel.
+ * Shows resource name, URI, and allows clicking to view resource content.
  */
-export { default as ChatFormHelperText } from './ChatForm/ChatFormHelperText.svelte';
+export { default as ChatFormMcpResourcesList } from './ChatForm/ChatFormMcpResourcesList.svelte';
 
 /**
  * Auto-resizing textarea with IME composition support. Automatically adjusts
@@ -216,10 +259,10 @@ export { default as ChatFormHelperText } from './ChatForm/ChatFormHelperText.sve
 export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte';
 
 /**
- * **ChatFormPromptPicker** - MCP prompt selection interface
+ * **ChatFormPickerMcpPrompts** - MCP prompt selection interface
  *
  * Floating picker for browsing and selecting MCP Server Prompts.
- * Triggered by typing `/` in the chat input or choosing `MCP Prompt` option in ChatFormActionAttachmentsDropdown.
+ * Triggered by typing `/` in the chat input or choosing `MCP Prompt` option in ChatFormActionAddDropdown.
  * Loads prompts from connected MCP servers and allows users to select and configure them.
  *
  * **Architecture:**
@@ -247,7 +290,7 @@ export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte'
  *
  * @example
  * ```svelte
- * <ChatFormPromptPicker
+ * <ChatFormPickerMcpPrompts
  *   bind:this={pickerRef}
  *   isOpen={showPicker}
  *   searchQuery={promptQuery}
@@ -258,58 +301,58 @@ export { default as ChatFormTextarea } from './ChatForm/ChatFormTextarea.svelte'
  * />
  * ```
  */
-export { default as ChatFormPromptPicker } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPicker.svelte';
+export { default as ChatFormPickerMcpPrompts } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPickerMcpPrompts.svelte';
 
 /**
  * Form for entering MCP prompt arguments. Displays input fields for each
  * required argument defined by the prompt. Validates input and submits
  * when all required fields are filled. Shows argument descriptions as hints.
  */
-export { default as ChatFormPromptPickerArgumentForm } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentForm.svelte';
+export { default as ChatFormPromptPickerArgumentForm } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentForm.svelte';
 
 /**
  * Single argument input field with autocomplete suggestions. Fetches suggestions
  * from MCP server based on argument type. Supports keyboard navigation through
  * suggestions list. Used within ChatFormPromptPickerArgumentForm.
  */
-export { default as ChatFormPromptPickerArgumentInput } from './ChatForm/ChatFormPromptPicker/ChatFormPromptPickerArgumentInput.svelte';
+export { default as ChatFormPromptPickerArgumentInput } from './ChatForm/ChatFormPickers/ChatFormPickerMcpPrompts/ChatFormPromptPickerArgumentInput.svelte';
 
 /**
  * Shared popover wrapper for inline picker popovers (prompts, resources).
  * Provides consistent positioning, styling, and open/close behavior.
  */
-export { default as ChatFormPickerPopover } from './ChatForm/ChatFormPickerPopover.svelte';
+export { default as ChatFormPickerPopover } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerPopover.svelte';
 
 /**
  * Generic scrollable list for picker popovers. Provides search input,
  * scroll-into-view for keyboard navigation, loading skeletons, empty state,
  * and optional footer. Uses Svelte 5 snippets for item/skeleton/footer rendering.
- * Shared by ChatFormPromptPicker and ChatFormResourcePicker.
+ * Shared by ChatFormPickerMcpPrompts and ChatFormPickerMcpResources.
  */
-export { default as ChatFormPickerList } from './ChatForm/ChatFormPicker/ChatFormPickerList.svelte';
+export { default as ChatFormPickerList } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerList.svelte';
 
 /**
  * Generic button wrapper for picker list items. Provides consistent styling,
  * hover/selected states, and data-picker-index attribute for scroll-into-view.
- * Shared by ChatFormPromptPicker and ChatFormResourcePicker.
+ * Shared by ChatFormPickerMcpPrompts and ChatFormPickerMcpResources.
  */
-export { default as ChatFormPickerListItem } from './ChatForm/ChatFormPicker/ChatFormPickerListItem.svelte';
+export { default as ChatFormPickerListItem } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItem.svelte';
 
 /**
  * Generic header for picker items displaying server favicon, label, item title,
  * and optional description. Accepts `titleExtra` and `subtitle` snippets for
  * custom content like badges or URIs. Shared by both pickers.
  */
-export { default as ChatFormPickerItemHeader } from './ChatForm/ChatFormPicker/ChatFormPickerItemHeader.svelte';
+export { default as ChatFormPickerItemHeader } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerItemHeader.svelte';
 
 /**
  * Generic skeleton loading placeholder for picker list items. Configurable
  * title width and optional badge skeleton. Shared by both pickers.
  */
-export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte';
+export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPickers/ChatFormPicker/ChatFormPickerListItemSkeleton.svelte';
 
 /**
- * **ChatFormResourcePicker** - MCP resource selection interface
+ * **ChatFormPickerMcpResources** - MCP resource selection interface
  *
  * Floating picker for browsing and attaching MCP Server Resources.
  * Triggered by typing `@` in the chat input.
@@ -325,7 +368,16 @@ export { default as ChatFormPickerListItemSkeleton } from './ChatForm/ChatFormPi
  * **Exported API:**
  * - `handleKeydown(event): boolean` - Process keyboard events, returns true if handled
  */
-export { default as ChatFormResourcePicker } from './ChatForm/ChatFormResourcePicker/ChatFormResourcePicker.svelte';
+export { default as ChatFormPickerMcpResources } from './ChatForm/ChatFormPickers/ChatFormPickerMcpResources.svelte';
+
+/**
+ * **ChatFormPickers** - Chat input picker container
+ *
+ * Container component that hosts both MCP prompt and MCP resource pickers.
+ * Manages shared state, keyboard navigation, and coordination between the two
+ * picker interfaces. Used within ChatForm for `@`-triggered pickers.
+ */
+export { default as ChatFormPickers } from './ChatForm/ChatFormPickers/ChatFormPickers.svelte';
 
 /**
  *
@@ -392,7 +444,7 @@ export { default as ChatMessages } from './ChatMessages/ChatMessages.svelte';
  * - Displays branching controls when message has siblings
  *
  * **User Messages:**
- * - Shows attachments via ChatAttachmentsList
+ * - Shows attachments via ChatAttachments
  * - Displays MCP prompts if present
  * - Edit creates new branch or preserves responses
  *
@@ -420,7 +472,7 @@ export { default as ChatMessages } from './ChatMessages/ChatMessages.svelte';
  * />
  * ```
  */
-export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
+export { default as ChatMessage } from './ChatMessages/ChatMessage/ChatMessage.svelte';
 
 /**
  * **ChatMessageAgenticContent** - Agentic workflow output display
@@ -456,6 +508,9 @@ export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
  * ```
  */
 export { default as ChatMessageAgenticContent } from './ChatMessages/ChatMessageAgenticContent.svelte';
+export { default as ChatMessageActionCardPermissionRequest } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardPermissionRequest.svelte';
+export { default as ChatMessageActionCard } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCard.svelte';
+export { default as ChatMessageActionCardContinueRequest } from './ChatMessages/ChatMessageActions/ChatMessageActionCard/ChatMessageActionCardContinueRequest.svelte';
 
 /**
  * Action buttons toolbar for messages. Displays copy, edit, delete, and regenerate
@@ -463,7 +518,7 @@ export { default as ChatMessageAgenticContent } from './ChatMessages/ChatMessage
  * Shows delete confirmation dialog with cascade delete count. Handles raw output toggle
  * for assistant messages.
  */
-export { default as ChatMessageActions } from './ChatMessages/ChatMessageActions.svelte';
+export { default as ChatMessageActionIcons } from './ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIcons.svelte';
 
 /**
  * Navigation controls for message siblings (conversation branches). Displays
@@ -471,41 +526,29 @@ export { default as ChatMessageActions } from './ChatMessages/ChatMessageActions
  * to navigate between alternative versions of a message created by editing
  * or regenerating. Uses `conversationsStore.navigateToSibling()` for navigation.
  */
-export { default as ChatMessageBranchingControls } from './ChatMessages/ChatMessageBranchingControls.svelte';
+export { default as ChatMessageActionIconsBranchingControls } from './ChatMessages/ChatMessageActions/ChatMessageActionIcons/ChatMessageActionIconsBranchingControls.svelte';
 
 /**
  * Statistics display for assistant messages. Shows token counts (prompt/completion),
  * generation timing, tokens per second, and model name (when enabled in settings).
  * Data sourced from message.timings stored during generation.
  */
-export { default as ChatMessageStatistics } from './ChatMessages/ChatMessageStatistics.svelte';
+export { default as ChatMessageStatistics } from './ChatMessages/ChatMessageStatistics/ChatMessageStatistics.svelte';
+export { default as ChatMessageStatisticsBadge } from './ChatMessages/ChatMessageStatistics/ChatMessageStatisticsBadge.svelte';
 
 /**
  * MCP prompt display in user messages. Shows when user selected an MCP prompt
- * via ChatFormPromptPicker. Displays server name, prompt name, and expandable
+ * via ChatFormPickerMcpPrompts. Displays server name, prompt name, and expandable
  * content preview. Stored in message.extra as DatabaseMessageExtraMcpPrompt.
  */
-export { default as ChatMessageMcpPrompt } from './ChatMessages/ChatMessageMcpPrompt.svelte';
+export { default as ChatMessageMcpPrompt } from './ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPrompt.svelte';
 
 /**
  * Formatted content display for MCP prompt messages. Renders the full prompt
  * content with arguments in a readable format. Used within ChatMessageMcpPrompt
  * for the expanded view.
  */
-export { default as ChatMessageMcpPromptContent } from './ChatMessages/ChatMessageMcpPromptContent.svelte';
-
-/**
- * System message display component. Renders system messages with distinct styling.
- * Visibility controlled by `showSystemMessage` config setting.
- */
-export { default as ChatMessageSystem } from './ChatMessages/ChatMessageSystem.svelte';
-
-/**
- * User message display component. Renders user messages with right-aligned bubble styling.
- * Shows message content, attachments via ChatAttachmentsList, and MCP prompts if present.
- * Supports inline editing mode with ChatMessageEditForm integration.
- */
-export { default as ChatMessageUser } from './ChatMessages/ChatMessageUser.svelte';
+export { default as ChatMessageMcpPromptContent } from './ChatMessages/ChatMessage/ChatMessageMcpPrompt/ChatMessageMcpPromptContent.svelte';
 
 /**
  * Assistant message display component. Renders assistant responses with left-aligned styling.
@@ -513,7 +556,7 @@ export { default as ChatMessageUser } from './ChatMessages/ChatMessageUser.svelt
  * (via ChatMessageAgenticContent). Shows model info badge, statistics, and action buttons.
  * Handles streaming state with real-time content updates.
  */
-export { default as ChatMessageAssistant } from './ChatMessages/ChatMessageAssistant.svelte';
+export { default as ChatMessageAssistant } from './ChatMessages/ChatMessage/ChatMessageAssistant/ChatMessageAssistant.svelte';
 
 /**
  * Inline message editing form. Provides textarea for editing message content with
@@ -523,6 +566,21 @@ export { default as ChatMessageAssistant } from './ChatMessages/ChatMessageAssis
  */
 export { default as ChatMessageEditForm } from './ChatMessages/ChatMessageEditForm.svelte';
 
+/**
+ * User message display component. Renders user messages with right-aligned bubble styling.
+ * Shows message content, attachments via ChatAttachmentsList, and MCP prompts if present.
+ * Supports inline editing mode with ChatMessageEditForm integration.
+ */
+export { default as ChatMessageUser } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUser.svelte';
+export { default as ChatMessageUserBubble } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserBubble.svelte';
+export { default as ChatMessageUserPending } from './ChatMessages/ChatMessage/ChatMessageUser/ChatMessageUserPending.svelte';
+
+/**
+ * System message display component. Renders system messages with distinct styling.
+ * Visibility controlled by `showSystemMessage` config setting.
+ */
+export { default as ChatMessageSystem } from './ChatMessages/ChatMessage/ChatMessageSystem/ChatMessageSystem.svelte';
+
 /**
  *
  * SCREEN
@@ -547,7 +605,7 @@ export { default as ChatMessageEditForm } from './ChatMessages/ChatMessageEditFo
  * and server state. Used as the main content area in chat routes.
  *
  * **Architecture:**
- * - Composes ChatMessages, ChatScreenForm, ChatScreenHeader, and dialogs
+ * - Composes ChatMessages, ChatScreenForm, and dialogs
  * - Manages auto-scroll via `createAutoScrollController()` hook
  * - Handles file upload pipeline (validation → processing → state update)
  * - Integrates with serverStore for loading/error/warning states
@@ -602,13 +660,6 @@ export { default as ChatScreenDragOverlay } from './ChatScreen/ChatScreenDragOve
  */
 export { default as ChatScreenForm } from './ChatScreen/ChatScreenForm.svelte';
 
-/**
- * Header bar for chat screen. Displays conversation title (or "New Chat"),
- * model selector (in router mode), and action buttons (delete conversation).
- * Sticky positioned at the top of the chat area.
- */
-export { default as ChatScreenHeader } from './ChatScreen/ChatScreenHeader.svelte';
-
 /**
  * Processing info display during generation. Shows real-time statistics:
  * tokens per second, prompt/completion token counts, and elapsed time.
@@ -616,178 +667,3 @@ export { default as ChatScreenHeader } from './ChatScreen/ChatScreenHeader.svelt
  * Only visible when `isCurrentConversationLoading` is true.
  */
 export { default as ChatScreenProcessingInfo } from './ChatScreen/ChatScreenProcessingInfo.svelte';
-
-/**
- *
- * SETTINGS
- *
- * Application settings components. Settings are persisted to localStorage via
- * the config store and synchronized with server `/props` endpoint for sampling
- * parameters. The settings panel uses a tabbed interface with mobile-responsive
- * horizontal scrolling tabs.
- *
- * **Parameter Sync System:**
- * Sampling parameters (temperature, top_p, etc.) can come from three sources:
- * 1. **Server Props**: Default values from `/props` endpoint
- * 2. **User Custom**: Values explicitly set by user (overrides server)
- * 3. **App Default**: Fallback when server props unavailable
- *
- * The `ChatSettingsParameterSourceIndicator` badge shows which source is active.
- *
- */
-
-/**
- * **ChatSettings** - Application settings panel
- *
- * Comprehensive settings interface with categorized sections. Manages all
- * user preferences and sampling parameters. Integrates with config store
- * for persistence and ParameterSyncService for server synchronization.
- *
- * **Architecture:**
- * - Uses tabbed navigation with category sections
- * - Maintains local form state, commits on save
- * - Tracks user overrides vs server defaults for sampling params
- * - Exposes reset() method for dialog close without save
- *
- * **Categories:**
- * - **General**: API key, system message, show system messages toggle
- * - **Display**: Theme selection, message actions visibility, model info badge
- * - **Sampling**: Temperature, top_p, top_k, min_p, repeat_penalty, etc.
- * - **Penalties**: Frequency penalty, presence penalty, repeat last N
- * - **Import/Export**: Conversation backup and restore
- * - **MCP**: MCP server management (opens DialogChatSettings with MCP tab)
- * - **Developer**: Debug options, disable auto-scroll
- *
- * **Parameter Sync:**
- * - Fetches defaults from server `/props` endpoint
- * - Shows source indicator badge (Custom/Server Props/Default)
- * - Real-time badge updates as user types
- * - Tracks which parameters user has explicitly overridden
- *
- * **Features:**
- * - Mobile-responsive layout with horizontal scrolling tabs
- * - Form validation with error messages
- * - Secure API key storage (masked input)
- * - Import/export conversations as JSON
- * - Reset to defaults option per parameter
- *
- * **Exported API:**
- * - `reset()` - Reset form fields to currently saved values (for cancel action)
- *
- * @example
- * ```svelte
- * <ChatSettings
- *   bind:this={settingsRef}
- *   onSave={() => dialogOpen = false}
- *   onCancel={() => { settingsRef.reset(); dialogOpen = false; }}
- * />
- * ```
- */
-export { default as ChatSettings } from './ChatSettings/ChatSettings.svelte';
-
-/**
- * Footer with save/cancel buttons for settings panel. Positioned at bottom
- * of settings dialog. Save button commits form state to config store,
- * cancel button triggers reset and close.
- */
-export { default as ChatSettingsFooter } from './ChatSettings/ChatSettingsFooter.svelte';
-
-/**
- * Form fields renderer for individual settings. Generates appropriate input
- * components based on field type (text, number, select, checkbox, textarea).
- * Handles validation, help text display, and parameter source indicators.
- */
-export { default as ChatSettingsFields } from './ChatSettings/ChatSettingsFields.svelte';
-
-/**
- * Import/export tab content for conversation data management. Provides buttons
- * to export all conversations as JSON file and import from JSON file.
- * Handles file download/upload and data validation.
- */
-export { default as ChatSettingsImportExportTab } from './ChatSettings/ChatSettingsImportExportTab.svelte';
-
-/**
- * Badge indicating parameter source for sampling settings. Shows one of:
- * - **Custom**: User has explicitly set this value (orange badge)
- * - **Server Props**: Using default from `/props` endpoint (blue badge)
- * - **Default**: Using app default, server props unavailable (gray badge)
- * Updates in real-time as user types to show immediate feedback.
- */
-export { default as ChatSettingsParameterSourceIndicator } from './ChatSettings/ChatSettingsParameterSourceIndicator.svelte';
-
-/**
- *
- * SIDEBAR
- *
- * The sidebar integrates with ShadCN's sidebar component system
- * for consistent styling and mobile responsiveness.
- * Conversations are loaded from conversationsStore and displayed in reverse
- * chronological order (most recent first).
- *
- */
-
-/**
- * **ChatSidebar** - Chat Sidebar with actions menu and conversation list
- *
- * Collapsible sidebar displaying conversation history with search and
- * management actions. Integrates with ShadCN sidebar component for
- * consistent styling and mobile responsiveness.
- *
- * **Architecture:**
- * - Uses ShadCN Sidebar.* components for structure
- * - Fetches conversations from conversationsStore
- * - Manages search state and filtered results locally
- * - Handles conversation CRUD operations via conversationsStore
- *
- * **Navigation:**
- * - Click conversation to navigate to `/chat/[id]`
- * - New chat button navigates to `/` (root)
- * - Active conversation highlighted based on route params
- *
- * **Conversation Management:**
- * - Right-click or menu button for context menu
- * - Rename: Opens inline edit dialog
- * - Delete: Shows confirmation with conversation preview
- * - Delete All: Removes all conversations with confirmation
- *
- * **Features:**
- * - Search/filter conversations by title
- * - Conversation list with message previews (first message truncated)
- * - Active conversation highlighting
- * - Mobile-responsive collapse/expand via ShadCN sidebar
- * - New chat button in header
- * - Settings button opens DialogChatSettings
- *
- * **Exported API:**
- * - `handleMobileSidebarItemClick()` - Close sidebar on mobile after item selection
- * - `activateSearchMode()` - Focus search input programmatically
- * - `editActiveConversation()` - Open rename dialog for current conversation
- *
- * @example
- * ```svelte
- * <ChatSidebar bind:this={sidebarRef} />
- * ```
- */
-export { default as ChatSidebar } from './ChatSidebar/ChatSidebar.svelte';
-
-/**
- * Action buttons for sidebar header. Contains new chat button, settings button,
- * and delete all conversations button. Manages dialog states for settings and
- * delete confirmation.
- */
-export { default as ChatSidebarActions } from './ChatSidebar/ChatSidebarActions.svelte';
-
-/**
- * Single conversation item in sidebar. Displays conversation title (truncated),
- * last message preview, and timestamp. Shows context menu on right-click with
- * rename and delete options. Highlights when active (matches current route).
- * Handles click to navigate and keyboard accessibility.
- */
-export { default as ChatSidebarConversationItem } from './ChatSidebar/ChatSidebarConversationItem.svelte';
-
-/**
- * Search input for filtering conversations in sidebar. Filters conversation
- * list by title as user types. Shows clear button when query is not empty.
- * Integrated into sidebar header with proper styling.
- */
-export { default as ChatSidebarSearch } from './ChatSidebar/ChatSidebarSearch.svelte';
diff --git a/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte
index 082738da5..b7297ab6b 100644
--- a/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte
+++ b/tools/server/webui/src/lib/components/app/content/CollapsibleContentBlock.svelte
@@ -22,7 +22,7 @@
 	let {
 		open = $bindable(false),
 		class: className = '',
-		icon: Icon,
+		icon: IconComponent,
 		iconClass = 'h-4 w-4',
 		title,
 		subtitle,
@@ -32,6 +32,7 @@
 	}: Props = $props();
 
 	let contentContainer: HTMLDivElement | undefined = $state();
+
 	const autoScroll = createAutoScrollController();
 
 	$effect(() => {
@@ -59,8 +60,8 @@
 	<Card class="gap-0 border-muted bg-muted/30 py-0">
 		<Collapsible.Trigger class="flex w-full cursor-pointer items-center justify-between p-3">
 			<div class="flex items-center gap-2 text-muted-foreground">
-				{#if Icon}
-					<Icon class={iconClass} />
+				{#if IconComponent}
+					<IconComponent class={iconClass} />
 				{/if}
 
 				<span class="font-mono text-sm font-medium">{title}</span>
diff --git a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte b/tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte
similarity index 97%
rename from tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte
index 9976ffa7c..c1b71e451 100644
--- a/tools/server/webui/src/lib/components/app/content/MarkdownContent.svelte
+++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent/MarkdownContent.svelte
@@ -4,6 +4,7 @@
 	import remarkGfm from 'remark-gfm';
 	import remarkMath from 'remark-math';
 	import rehypeHighlight from 'rehype-highlight';
+	import { all as lowlightAll } from 'lowlight';
 	import remarkRehype from 'remark-rehype';
 	import rehypeKatex from 'rehype-katex';
 	import rehypeStringify from 'rehype-stringify';
@@ -12,11 +13,12 @@
 	import { browser } from '$app/environment';
 	import { onDestroy, tick } from 'svelte';
 	import { SvelteMap } from 'svelte/reactivity';
-	import { rehypeRestoreTableHtml } from '$lib/markdown/table-html-restorer';
-	import { rehypeEnhanceLinks } from '$lib/markdown/enhance-links';
-	import { rehypeEnhanceCodeBlocks } from '$lib/markdown/enhance-code-blocks';
-	import { rehypeResolveAttachmentImages } from '$lib/markdown/resolve-attachment-images';
-	import { remarkLiteralHtml } from '$lib/markdown/literal-html';
+	import { rehypeRestoreTableHtml } from './plugins/rehype/table-html-restorer';
+	import { rehypeEnhanceLinks } from './plugins/rehype/enhance-links';
+	import { rehypeEnhanceCodeBlocks } from './plugins/rehype/enhance-code-blocks';
+	import { rehypeResolveAttachmentImages } from './plugins/rehype/resolve-attachment-images';
+	import { rehypeRtlSupport } from './plugins/rehype/rehype-rtl-support';
+	import { remarkLiteralHtml } from './plugins/remark/literal-html';
 	import { copyCodeToClipboard, preprocessLaTeX, getImageErrorFallbackHtml } from '$lib/utils';
 	import {
 		IMAGE_NOT_ERROR_BOUND_SELECTOR,
@@ -32,7 +34,7 @@
 	import githubDarkCss from 'highlight.js/styles/github-dark.css?inline';
 	import githubLightCss from 'highlight.js/styles/github.css?inline';
 	import { mode } from 'mode-watcher';
-	import { ActionIconsCodeBlock, DialogCodePreview } from '$lib/components/app';
+	import { CodeBlockActions, DialogCodePreview } from '$lib/components/app';
 	import { createAutoScrollController } from '$lib/hooks/use-auto-scroll.svelte';
 	import type { DatabaseMessageExtra } from '$lib/types/database';
 	import { config } from '$lib/stores/settings.svelte';
@@ -95,12 +97,14 @@
 
 		return proc
 			.use(rehypeHighlight, {
+				languages: lowlightAll,
 				aliases: { [FileTypeText.XML]: [FileTypeText.SVELTE, FileTypeText.VUE] }
 			}) // Add syntax highlighting
 			.use(rehypeRestoreTableHtml) // Restore limited HTML (e.g., <br>, <ul>) inside Markdown tables
 			.use(rehypeEnhanceLinks) // Add target="_blank" to links
 			.use(rehypeEnhanceCodeBlocks) // Wrap code blocks with header and actions
 			.use(rehypeResolveAttachmentImages, { attachments })
+			.use(rehypeRtlSupport) // Add bidirectional text support
 			.use(rehypeStringify, { allowDangerousHtml: true }); // Convert to HTML string
 	});
 
@@ -616,7 +620,7 @@
 		<div class="code-block-wrapper streaming-code-block relative">
 			<div class="code-block-header">
 				<span class="code-language">{incompleteCodeBlock.language || 'text'}</span>
-				<ActionIconsCodeBlock
+				<CodeBlockActions
 					code={incompleteCodeBlock.code}
 					language={incompleteCodeBlock.language || 'text'}
 					disabled
@@ -781,19 +785,19 @@
 	/* Lists */
 	div :global(ul) {
 		list-style-type: disc;
-		margin-left: 1.5rem;
+		margin-inline-start: 1.5rem;
 		margin-bottom: 1rem;
 	}
 
 	div :global(ol) {
 		list-style-type: decimal;
-		margin-left: 1.5rem;
+		margin-inline-start: 1.5rem;
 		margin-bottom: 1rem;
 	}
 
 	div :global(li) {
 		margin-bottom: 0.25rem;
-		padding-left: 0.5rem;
+		padding-inline-start: 0.5rem;
 	}
 
 	div :global(li::marker) {
@@ -816,8 +820,8 @@
 	/* Task lists */
 	div :global(.task-list-item) {
 		list-style: none;
-		margin-left: 0;
-		padding-left: 0;
+		margin-inline-start: 0;
+		padding-inline-start: 0;
 	}
 
 	div :global(.task-list-item-checkbox) {
diff --git a/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-code-blocks.ts
similarity index 88%
rename from tools/server/webui/src/lib/markdown/enhance-code-blocks.ts
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-code-blocks.ts
index 7c3b7f167..9d9348a5f 100644
--- a/tools/server/webui/src/lib/markdown/enhance-code-blocks.ts
+++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-code-blocks.ts
@@ -34,45 +34,35 @@ const COPY_ICON_SVG = `<svg xmlns="http://www.w3.org/2000/svg" width="16" height
 
 const PREVIEW_ICON_SVG = `<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-eye lucide-eye-icon"><path d="M2.062 12.345a1 1 0 0 1 0-.69C3.5 7.73 7.36 5 12 5s8.5 2.73 9.938 6.655a1 1 0 0 1 0 .69C20.5 16.27 16.64 19 12 19s-8.5-2.73-9.938-6.655"/><circle cx="12" cy="12" r="3"/></svg>`;
 
-/**
- * Creates an SVG element node from raw SVG string.
- * Since we can't parse HTML in HAST directly, we use the raw property.
- */
-function createRawHtmlElement(html: string): Element {
+function createIconElement(svg: string): Element {
 	return {
 		type: 'element',
 		tagName: 'span',
 		properties: {},
-		children: [{ type: 'raw', value: html } as unknown as ElementContent]
+		children: [{ type: 'raw', value: svg } as unknown as ElementContent]
 	};
 }
 
-function createCopyButton(codeId: string): Element {
+function createButton(className: string, title: string, iconSvg: string, codeId: string): Element {
 	return {
 		type: 'element',
 		tagName: 'button',
 		properties: {
-			className: [COPY_CODE_BTN_CLASS],
+			className: [className],
 			'data-code-id': codeId,
-			title: 'Copy code',
+			title,
 			type: 'button'
 		},
-		children: [createRawHtmlElement(COPY_ICON_SVG)]
+		children: [createIconElement(iconSvg)]
 	};
 }
 
+function createCopyButton(codeId: string): Element {
+	return createButton(COPY_CODE_BTN_CLASS, 'Copy code', COPY_ICON_SVG, codeId);
+}
+
 function createPreviewButton(codeId: string): Element {
-	return {
-		type: 'element',
-		tagName: 'button',
-		properties: {
-			className: [PREVIEW_CODE_BTN_CLASS],
-			'data-code-id': codeId,
-			title: 'Preview code',
-			type: 'button'
-		},
-		children: [createRawHtmlElement(PREVIEW_ICON_SVG)]
-	};
+	return createButton(PREVIEW_CODE_BTN_CLASS, 'Preview code', PREVIEW_ICON_SVG, codeId);
 }
 
 function createHeader(language: string, codeId: string): Element {
diff --git a/tools/server/webui/src/lib/markdown/enhance-links.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-links.ts
similarity index 100%
rename from tools/server/webui/src/lib/markdown/enhance-links.ts
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/enhance-links.ts
diff --git a/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/rehype-rtl-support.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/rehype-rtl-support.ts
new file mode 100644
index 000000000..0a8b93ad5
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/rehype-rtl-support.ts
@@ -0,0 +1,28 @@
+/**
+ * Rehype plugin to provide comprehensive RTL support by adding dir="auto"
+ * to all text-containing elements.
+ *
+ * This operates directly on the HAST tree, ensuring that all elements
+ * (including those not in a predefined list) receive the attribute.
+ */
+
+import type { Plugin } from 'unified';
+import type { Root, Element } from 'hast';
+import { visit } from 'unist-util-visit';
+
+/**
+ * Rehype plugin to add dir="auto" to all elements that have children.
+ * This provides bidirectional text support for mixed RTL/LTR content.
+ */
+export const rehypeRtlSupport: Plugin<[], Root> = () => {
+	return (tree: Root) => {
+		visit(tree, 'element', (node: Element) => {
+			if (node.children && node.children.length > 0) {
+				node.properties = {
+					...node.properties,
+					dir: 'auto'
+				};
+			}
+		});
+	};
+};
diff --git a/tools/server/webui/src/lib/markdown/resolve-attachment-images.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/resolve-attachment-images.ts
similarity index 100%
rename from tools/server/webui/src/lib/markdown/resolve-attachment-images.ts
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/resolve-attachment-images.ts
diff --git a/tools/server/webui/src/lib/markdown/table-html-restorer.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/table-html-restorer.ts
similarity index 100%
rename from tools/server/webui/src/lib/markdown/table-html-restorer.ts
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/rehype/table-html-restorer.ts
diff --git a/tools/server/webui/src/lib/markdown/literal-html.ts b/tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/remark/literal-html.ts
similarity index 100%
rename from tools/server/webui/src/lib/markdown/literal-html.ts
rename to tools/server/webui/src/lib/components/app/content/MarkdownContent/plugins/remark/literal-html.ts
diff --git a/tools/server/webui/src/lib/components/app/content/index.ts b/tools/server/webui/src/lib/components/app/content/index.ts
index 8ab488bc7..e468a441e 100644
--- a/tools/server/webui/src/lib/components/app/content/index.ts
+++ b/tools/server/webui/src/lib/components/app/content/index.ts
@@ -29,7 +29,7 @@
  * <MarkdownContent content={message.content} attachments={message.extra} />
  * ```
  */
-export { default as MarkdownContent } from './MarkdownContent.svelte';
+export { default as MarkdownContent } from './MarkdownContent/MarkdownContent.svelte';
 
 /**
  * **SyntaxHighlightedCode** - Code syntax highlighting
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte
deleted file mode 100644
index 012ba00b4..000000000
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentPreview.svelte
+++ /dev/null
@@ -1,67 +0,0 @@
-<script lang="ts">
-	import * as Dialog from '$lib/components/ui/dialog';
-	import { ChatAttachmentPreview } from '$lib/components/app';
-	import { formatFileSize } from '$lib/utils';
-
-	interface Props {
-		open: boolean;
-		onOpenChange?: (open: boolean) => void;
-		// Either an uploaded file or a stored attachment
-		uploadedFile?: ChatUploadedFile;
-		attachment?: DatabaseMessageExtra;
-		// For uploaded files
-		preview?: string;
-		name?: string;
-		size?: number;
-		textContent?: string;
-		// For vision modality check
-		activeModelId?: string;
-	}
-
-	let {
-		open = $bindable(),
-		onOpenChange,
-		uploadedFile,
-		attachment,
-		preview,
-		name,
-		size,
-		textContent,
-		activeModelId
-	}: Props = $props();
-
-	let chatAttachmentPreviewRef: ChatAttachmentPreview | undefined = $state();
-
-	let displayName = $derived(uploadedFile?.name || attachment?.name || name || 'Unknown File');
-
-	let displaySize = $derived(uploadedFile?.size || size);
-
-	$effect(() => {
-		if (open && chatAttachmentPreviewRef) {
-			chatAttachmentPreviewRef.reset();
-		}
-	});
-</script>
-
-<Dialog.Root bind:open {onOpenChange}>
-	<Dialog.Content class="grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl">
-		<Dialog.Header>
-			<Dialog.Title class="pr-8">{displayName}</Dialog.Title>
-			<Dialog.Description>
-				{#if displaySize}
-					{formatFileSize(displaySize)}
-				{/if}
-			</Dialog.Description>
-		</Dialog.Header>
-
-		<ChatAttachmentPreview
-			bind:this={chatAttachmentPreviewRef}
-			{uploadedFile}
-			{attachment}
-			{preview}
-			name={displayName}
-			{textContent}
-			{activeModelId}
-		/>
-	</Dialog.Content>
-</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte
new file mode 100644
index 000000000..533301dfd
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsPreview.svelte
@@ -0,0 +1,88 @@
+<script lang="ts">
+	import { Dialog } from 'bits-ui';
+	import { X } from '@lucide/svelte';
+	import * as DialogUI from '$lib/components/ui/dialog';
+	import { ChatAttachmentsPreview } from '$lib/components/app';
+	import { KeyboardKey } from '$lib/enums';
+
+	interface Props {
+		open: boolean;
+		uploadedFiles?: ChatUploadedFile[];
+		attachments?: DatabaseMessageExtra[];
+		activeModelId?: string;
+		previewFocusIndex?: number;
+	}
+
+	let {
+		open = $bindable(false),
+		uploadedFiles = [],
+		attachments = [],
+		activeModelId,
+		previewFocusIndex = 0
+	}: Props = $props();
+
+	function handleClose() {
+		open = false;
+	}
+
+	$effect(() => {
+		if (!open) return;
+
+		function handleKeyDown(event: KeyboardEvent) {
+			const target = event.target as HTMLElement;
+
+			if (target.tagName === 'INPUT' || target.tagName === 'TEXTAREA') return;
+
+			switch (event.key) {
+				case KeyboardKey.ARROW_LEFT:
+					event.preventDefault();
+					event.stopPropagation();
+
+					document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: -1 }));
+
+					break;
+				case KeyboardKey.ARROW_RIGHT:
+					event.preventDefault();
+					event.stopPropagation();
+
+					document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 }));
+
+					break;
+				case KeyboardKey.SPACE:
+					event.preventDefault();
+					event.stopPropagation();
+
+					document.dispatchEvent(new CustomEvent('chat-attachments-nav', { detail: 1 }));
+
+					break;
+			}
+		}
+
+		document.addEventListener('keydown', handleKeyDown);
+		return () => document.removeEventListener('keydown', handleKeyDown);
+	});
+</script>
+
+<Dialog.Root bind:open>
+	<Dialog.Portal>
+		<DialogUI.Overlay class="bg-black/85" style="z-index: 1000" />
+
+		<Dialog.Content class="fixed inset-0 z-[1000] flex flex-col bg-transparent outline-none">
+			<Dialog.Close
+				class="absolute top-4 right-4 z-10 cursor-pointer text-white hover:text-gray-400"
+				onclick={handleClose}
+				aria-label="Close"
+			>
+				<X class="size-4" />
+			</Dialog.Close>
+
+			<ChatAttachmentsPreview
+				{uploadedFiles}
+				{attachments}
+				{activeModelId}
+				{previewFocusIndex}
+				class="min-h-0 flex-1"
+			/>
+		</Dialog.Content>
+	</Dialog.Portal>
+</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte
deleted file mode 100644
index 33ab0fe02..000000000
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatAttachmentsViewAll.svelte
+++ /dev/null
@@ -1,54 +0,0 @@
-<script lang="ts">
-	import * as Dialog from '$lib/components/ui/dialog';
-	import { ChatAttachmentsViewAll } from '$lib/components/app';
-
-	interface Props {
-		open?: boolean;
-		uploadedFiles?: ChatUploadedFile[];
-		attachments?: DatabaseMessageExtra[];
-		readonly?: boolean;
-		onFileRemove?: (fileId: string) => void;
-		imageHeight?: string;
-		imageWidth?: string;
-		imageClass?: string;
-		activeModelId?: string;
-	}
-
-	let {
-		open = $bindable(false),
-		uploadedFiles = [],
-		attachments = [],
-		readonly = false,
-		onFileRemove,
-		imageHeight = 'h-24',
-		imageWidth = 'w-auto',
-		imageClass = '',
-		activeModelId
-	}: Props = $props();
-
-	let totalCount = $derived(uploadedFiles.length + attachments.length);
-</script>
-
-<Dialog.Root bind:open>
-	<Dialog.Portal>
-		<Dialog.Overlay />
-
-		<Dialog.Content class="flex !max-h-[90vh] !max-w-6xl flex-col">
-			<Dialog.Header>
-				<Dialog.Title>All Attachments ({totalCount})</Dialog.Title>
-				<Dialog.Description>View and manage all attached files</Dialog.Description>
-			</Dialog.Header>
-
-			<ChatAttachmentsViewAll
-				{uploadedFiles}
-				{attachments}
-				{readonly}
-				{onFileRemove}
-				{imageHeight}
-				{imageWidth}
-				{imageClass}
-				{activeModelId}
-			/>
-		</Dialog.Content>
-	</Dialog.Portal>
-</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
index 54a3c90d3..ff1005313 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogChatError.svelte
@@ -53,15 +53,19 @@
 
 		<div class={`rounded-lg border px-4 py-3 text-sm ${badgeClass}`}>
 			<p class="font-medium">{message}</p>
+
 			{#if contextInfo}
 				<div class="mt-2 space-y-1 text-xs opacity-80">
 					<p>
 						<span class="font-medium">Prompt tokens:</span>
+
 						{contextInfo.n_prompt_tokens.toLocaleString()}
 					</p>
+
 					{#if contextInfo.n_ctx}
 						<p>
 							<span class="font-medium">Context size:</span>
+
 							{contextInfo.n_ctx.toLocaleString()}
 						</p>
 					{/if}
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte
deleted file mode 100644
index 793af9a40..000000000
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogChatSettings.svelte
+++ /dev/null
@@ -1,38 +0,0 @@
-<script lang="ts">
-	import * as Dialog from '$lib/components/ui/dialog';
-	import { ChatSettings } from '$lib/components/app';
-	import type { SettingsSectionTitle } from '$lib/constants';
-
-	interface Props {
-		onOpenChange?: (open: boolean) => void;
-		open?: boolean;
-		initialSection?: SettingsSectionTitle;
-	}
-
-	let { onOpenChange, open = false, initialSection }: Props = $props();
-
-	let chatSettingsRef: ChatSettings | undefined = $state();
-
-	function handleClose() {
-		onOpenChange?.(false);
-	}
-
-	function handleSave() {
-		onOpenChange?.(false);
-	}
-
-	$effect(() => {
-		if (open && chatSettingsRef) {
-			chatSettingsRef.reset();
-		}
-	});
-</script>
-
-<Dialog.Root {open} onOpenChange={handleClose}>
-	<Dialog.Content
-		class="z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] max-w-4xl! flex-col gap-0 rounded-none
-			p-0 md:h-[64vh] md:max-h-[64vh] md:min-h-0 md:rounded-lg"
-	>
-		<ChatSettings bind:this={chatSettingsRef} onSave={handleSave} {initialSection} />
-	</Dialog.Content>
-</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
index 702519f9f..fe5d9b504 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogCodePreview.svelte
@@ -25,6 +25,7 @@
 
 	function handleOpenChange(nextOpen: boolean) {
 		open = nextOpen;
+
 		onOpenChange?.(nextOpen);
 	}
 </script>
@@ -46,6 +47,7 @@
 				aria-label="Close preview"
 			>
 				<XIcon />
+
 				<span class="sr-only">Close preview</span>
 			</DialogPrimitive.Close>
 		</DialogPrimitive.Content>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
index 41fdf7d41..becc658d3 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConfirmation.svelte
@@ -34,6 +34,7 @@
 	function handleKeydown(event: KeyboardEvent) {
 		if (event.key === KeyboardKey.ENTER) {
 			event.preventDefault();
+
 			onConfirm();
 		}
 		onKeydown?.(event);
@@ -52,6 +53,7 @@
 			<AlertDialog.Title class="flex items-center gap-2">
 				{#if icon}
 					{@const IconComponent = icon}
+
 					<IconComponent class="h-5 w-5 {variant === 'destructive' ? 'text-destructive' : ''}" />
 				{/if}
 				{title}
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte
index 1f8ea64be..737325085 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogConversationSelection.svelte
@@ -44,6 +44,7 @@
 				<Dialog.Title>
 					Select Conversations to {mode === 'export' ? 'Export' : 'Import'}
 				</Dialog.Title>
+
 				<Dialog.Description>
 					{#if mode === 'export'}
 						Choose which conversations you want to export. Selected conversations will be downloaded
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte
new file mode 100644
index 000000000..3bb2d357f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogFileUploadError.svelte
@@ -0,0 +1,88 @@
+<script lang="ts">
+	import * as AlertDialog from '$lib/components/ui/alert-dialog';
+
+	interface Props {
+		open: boolean;
+		fileErrorData: {
+			generallyUnsupported: File[];
+			modalityUnsupported: File[];
+			modalityReasons: Record<string, string>;
+			supportedTypes: string[];
+		};
+		onOpenChange?: (open: boolean) => void;
+	}
+
+	let { open = $bindable(), fileErrorData, onOpenChange }: Props = $props();
+
+	function handleOpenChange(newOpen: boolean) {
+		open = newOpen;
+
+		onOpenChange?.(newOpen);
+	}
+</script>
+
+<AlertDialog.Root {open} onOpenChange={handleOpenChange}>
+	<AlertDialog.Portal>
+		<AlertDialog.Overlay />
+
+		<AlertDialog.Content class="flex max-w-md flex-col">
+			<AlertDialog.Header>
+				<AlertDialog.Title>File Upload Error</AlertDialog.Title>
+
+				<AlertDialog.Description class="text-sm text-muted-foreground">
+					Some files cannot be uploaded with the current model.
+				</AlertDialog.Description>
+			</AlertDialog.Header>
+
+			<div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto">
+				{#if fileErrorData.generallyUnsupported.length > 0}
+					<div class="space-y-2">
+						<h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4>
+
+						<div class="space-y-1">
+							{#each fileErrorData.generallyUnsupported as file (file.name)}
+								<div class="rounded-md bg-destructive/10 px-3 py-2">
+									<p class="font-mono text-sm break-all text-destructive">
+										{file.name}
+									</p>
+
+									<p class="mt-1 text-xs text-muted-foreground">File type not supported</p>
+								</div>
+							{/each}
+						</div>
+					</div>
+				{/if}
+
+				{#if fileErrorData.modalityUnsupported.length > 0}
+					<div class="space-y-2">
+						<div class="space-y-1">
+							{#each fileErrorData.modalityUnsupported as file (file.name)}
+								<div class="rounded-md bg-destructive/10 px-3 py-2">
+									<p class="font-mono text-sm break-all text-destructive">
+										{file.name}
+									</p>
+
+									<p class="mt-1 text-xs text-muted-foreground">
+										{fileErrorData.modalityReasons[file.name] || 'Not supported by current model'}
+									</p>
+								</div>
+							{/each}
+						</div>
+					</div>
+				{/if}
+			</div>
+
+			<div class="rounded-md bg-muted/50 p-3">
+				<h4 class="mb-2 text-sm font-medium">This model supports:</h4>
+
+				<p class="text-sm text-muted-foreground">
+					{fileErrorData.supportedTypes.join(', ')}
+				</p>
+			</div>
+
+			<AlertDialog.Footer>
+				<AlertDialog.Action onclick={() => handleOpenChange(false)}>Got it</AlertDialog.Action>
+			</AlertDialog.Footer>
+		</AlertDialog.Content>
+	</AlertDialog.Portal>
+</AlertDialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte
index ad6c3130b..7bf284089 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcePreview.svelte
@@ -31,11 +31,13 @@
 		if (extra.mimeType?.includes(MimeTypeIncludes.TYPESCRIPT)) return MimeTypeIncludes.TYPESCRIPT;
 
 		const name = extra.name || extra.uri || '';
+
 		return getLanguageFromFilename(name) || 'plaintext';
 	}
 
 	function handleDownload() {
 		if (!extra.content) return;
+
 		downloadResourceContent(
 			extra.content,
 			extra.mimeType || MimeTypeText.PLAIN,
@@ -48,6 +50,7 @@
 	<Dialog.Content class="grid max-h-[90vh] max-w-5xl overflow-hidden sm:w-auto sm:max-w-6xl">
 		<Dialog.Header>
 			<Dialog.Title class="pr-8">{extra.name}</Dialog.Title>
+
 			<Dialog.Description>
 				<div class="flex items-center gap-2">
 					<span class="text-xs text-muted-foreground">{extra.uri}</span>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte
similarity index 99%
rename from tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte
rename to tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte
index db93bb4b6..eb162a557 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResources.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpResourcesBrowser.svelte
@@ -11,7 +11,7 @@
 		mcpResourceStore
 	} from '$lib/stores/mcp-resources.svelte';
 	import {
-		McpResourceBrowser,
+		McpResourcesBrowser,
 		McpResourcePreview,
 		McpResourceTemplateForm
 	} from '$lib/components/app';
@@ -275,7 +275,7 @@
 
 		<div class="flex h-[500px] min-w-0">
 			<div class="w-72 shrink-0 overflow-y-auto border-r border-border/30 p-4">
-				<McpResourceBrowser
+				<McpResourcesBrowser
 					onSelect={handleResourceSelect}
 					onToggle={handleResourceToggle}
 					onTemplateSelect={handleTemplateSelect}
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServerAddNew.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServerAddNew.svelte
new file mode 100644
index 000000000..349f7e7fb
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServerAddNew.svelte
@@ -0,0 +1,88 @@
+<script lang="ts">
+	import { Button } from '$lib/components/ui/button';
+	import * as Dialog from '$lib/components/ui/dialog';
+	import { McpServerForm } from '$lib/components/app/mcp';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { uuid } from '$lib/utils';
+	import { MCP_SERVER_ID_PREFIX } from '$lib/constants';
+
+	interface Props {
+		open: boolean;
+		onOpenChange?: (open: boolean) => void;
+	}
+
+	let { open = $bindable(), onOpenChange }: Props = $props();
+
+	let newServerUrl = $state('');
+	let newServerHeaders = $state('');
+	let newServerUrlError = $derived.by(() => {
+		if (!newServerUrl.trim()) return 'URL is required';
+		try {
+			new URL(newServerUrl);
+
+			return null;
+		} catch {
+			return 'Invalid URL format';
+		}
+	});
+
+	function handleOpenChange(value: boolean) {
+		if (!value) {
+			newServerUrl = '';
+			newServerHeaders = '';
+		}
+		open = value;
+		onOpenChange?.(value);
+	}
+
+	function saveNewServer() {
+		if (newServerUrlError) return;
+
+		const newServerId = uuid() ?? `${MCP_SERVER_ID_PREFIX}-${Date.now()}`;
+
+		mcpStore.addServer({
+			id: newServerId,
+			enabled: true,
+			url: newServerUrl.trim(),
+			headers: newServerHeaders.trim() || undefined
+		});
+
+		conversationsStore.setMcpServerOverride(newServerId, true);
+
+		handleOpenChange(false);
+	}
+</script>
+
+<Dialog.Root {open} onOpenChange={handleOpenChange}>
+	<Dialog.Content class="sm:max-w-md">
+		<Dialog.Header>
+			<Dialog.Title>Add New Server</Dialog.Title>
+		</Dialog.Header>
+
+		<div class="space-y-4 py-4">
+			<McpServerForm
+				url={newServerUrl}
+				headers={newServerHeaders}
+				onUrlChange={(v) => (newServerUrl = v)}
+				onHeadersChange={(v) => (newServerHeaders = v)}
+				urlError={newServerUrl ? newServerUrlError : null}
+				id="new-server"
+			/>
+		</div>
+
+		<Dialog.Footer>
+			<Button variant="secondary" size="sm" onclick={() => handleOpenChange(false)}>Cancel</Button>
+
+			<Button
+				variant="default"
+				size="sm"
+				onclick={saveNewServer}
+				disabled={!!newServerUrlError}
+				aria-label="Save"
+			>
+				Add
+			</Button>
+		</Dialog.Footer>
+	</Dialog.Content>
+</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte
deleted file mode 100644
index f0cd325d4..000000000
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogMcpServersSettings.svelte
+++ /dev/null
@@ -1,39 +0,0 @@
-<script lang="ts">
-	import * as Dialog from '$lib/components/ui/dialog';
-	import { McpLogo, McpServersSettings } from '$lib/components/app';
-
-	interface Props {
-		onOpenChange?: (open: boolean) => void;
-		open?: boolean;
-	}
-
-	let { onOpenChange, open = $bindable(false) }: Props = $props();
-
-	function handleClose() {
-		onOpenChange?.(false);
-	}
-</script>
-
-<Dialog.Root {open} onOpenChange={handleClose}>
-	<Dialog.Content
-		class="z-999999 flex h-[100dvh] max-h-[100dvh] min-h-[100dvh] flex-col gap-0 rounded-none p-0
-			md:h-[80dvh] md:h-auto md:max-h-[80dvh] md:min-h-0 md:rounded-lg"
-		style="max-width: 56rem;"
-	>
-		<div class="grid gap-2 border-b border-border/30 p-4 md:p-6">
-			<Dialog.Title class="inline-flex items-center text-lg font-semibold">
-				<McpLogo class="mr-2 inline h-4 w-4" />
-
-				MCP Servers
-			</Dialog.Title>
-
-			<Dialog.Description class="text-sm text-muted-foreground">
-				Add and configure MCP servers to enable agentic tool execution capabilities.
-			</Dialog.Description>
-		</div>
-
-		<div class="flex-1 overflow-y-auto px-4 py-6">
-			<McpServersSettings />
-		</div>
-	</Dialog.Content>
-</Dialog.Root>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte b/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
index 3a1db5c77..5a10859a0 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
+++ b/tools/server/webui/src/lib/components/app/dialogs/DialogModelInformation.svelte
@@ -1,7 +1,7 @@
 <script lang="ts">
 	import * as Dialog from '$lib/components/ui/dialog';
 	import * as Table from '$lib/components/ui/table';
-	import { BadgeModality, ActionIconCopyToClipboard } from '$lib/components/app';
+	import { BadgesModality, ActionIconCopyToClipboard } from '$lib/components/app';
 	import { serverStore } from '$lib/stores/server.svelte';
 	import { modelsStore, modelOptions, modelsLoading } from '$lib/stores/models.svelte';
 	import { formatFileSize, formatParameters, formatNumber } from '$lib/utils';
@@ -229,7 +229,7 @@
 
 									<Table.Cell>
 										<div class="flex flex-wrap gap-1">
-											<BadgeModality {modalities} />
+											<BadgesModality {modalities} />
 										</div>
 									</Table.Cell>
 								</Table.Row>
diff --git a/tools/server/webui/src/lib/components/app/dialogs/index.ts b/tools/server/webui/src/lib/components/app/dialogs/index.ts
index 216eae684..458fc8098 100644
--- a/tools/server/webui/src/lib/components/app/dialogs/index.ts
+++ b/tools/server/webui/src/lib/components/app/dialogs/index.ts
@@ -11,30 +11,12 @@
  */
 
 /**
+ * **DialogMcpServerAddNew** - Add new MCP server dialog
  *
- * SETTINGS DIALOGS
- *
- * Dialogs for application and server configuration.
- *
- */
-
-/**
- * **DialogChatSettings** - Settings dialog wrapper
- *
- * Modal dialog containing ChatSettings component with proper
- * open/close state management and automatic form reset on open.
- *
- * **Architecture:**
- * - Wraps ChatSettings component in ShadCN Dialog
- * - Manages open/close state via bindable `open` prop
- * - Resets form state when dialog opens to discard unsaved changes
- *
- * @example
- * ```svelte
- * <DialogChatSettings bind:open={showSettings} />
- * ```
+ * Modal dialog for adding a new MCP server with URL and optional headers.
+ * Validates URL format and integrates with mcpStore and conversationsStore.
  */
-export { default as DialogChatSettings } from './DialogChatSettings.svelte';
+export { default as DialogMcpServerAddNew } from './DialogMcpServerAddNew.svelte';
 
 /**
  *
@@ -155,72 +137,36 @@ export { default as DialogCodePreview } from './DialogCodePreview.svelte';
  */
 
 /**
- * **DialogChatAttachmentPreview** - Full-size attachment preview
+ * **DialogChatAttachmentsPreview** - Unified attachment preview dialog
  *
- * Modal dialog for viewing file attachments at full size. Supports different
- * file types with appropriate preview modes: images, text files, PDFs, and audio.
+ * Modal dialog for previewing file attachments. Automatically adapts to the
+ * number of items: shows a single file preview without carousel for one item,
+ * or a gallery with carousel navigation for multiple items.
  *
  * **Architecture:**
- * - Wraps ChatAttachmentPreview component in ShadCN Dialog
- * - Accepts either uploaded file or stored attachment as data source
- * - Resets preview state when dialog opens
+ * - Wraps ChatAttachmentsPreview component in ShadCN Dialog
+ * - Accepts uploadedFiles and attachments arrays as data sources
+ * - Filters out MCP prompts and MCP resources from display
  *
  * **Features:**
- * - Full-size image display with proper scaling
- * - Text file content with syntax highlighting
- * - PDF preview with text/image view toggle
- * - Audio file placeholder with download option
- * - File name and size display in header
- * - Download button for all file types
- * - Vision modality check for image attachments
+ * - Single item mode: direct preview without navigation controls
+ * - Multi-item mode: gallery with left/right arrows and thumbnail strip
+ * - File type aware preview (images, text, PDFs, audio)
+ * - File name and size/count display in header
  *
  * @example
  * ```svelte
- * <!-- Preview uploaded file -->
- * <DialogChatAttachmentPreview
+ * <!-- Gallery with focus on 2nd item -->
+ * <DialogChatAttachmentsPreview
  *   bind:open={showPreview}
- *   uploadedFile={selectedFile}
- *   activeModelId={currentModel}
- * />
- *
- * <!-- Preview stored attachment -->
- * <DialogChatAttachmentPreview
- *   bind:open={showPreview}
- *   attachment={selectedAttachment}
- * />
- * ```
- */
-export { default as DialogChatAttachmentPreview } from './DialogChatAttachmentPreview.svelte';
-
-/**
- * **DialogChatAttachmentsViewAll** - Grid view of all attachments
- *
- * Dialog showing all attachments in a responsive grid layout. Triggered by
- * "+X more" button in ChatAttachmentsList when there are too many attachments
- * to display inline.
- *
- * **Architecture:**
- * - Wraps ChatAttachmentsViewAll component in ShadCN Dialog
- * - Supports both readonly (message view) and editable (form) modes
- * - Displays total attachment count in header
- *
- * **Features:**
- * - Responsive grid layout for all attachments
- * - Thumbnail previews with click-to-expand
- * - Remove button in editable mode
- * - Configurable thumbnail dimensions
- * - Vision modality validation for images
- *
- * @example
- * ```svelte
- * <DialogChatAttachmentsViewAll
- *   bind:open={showAllAttachments}
+ *   uploadedFiles={pendingFiles}
  *   attachments={message.extra}
- *   readonly
+ *   activeModelId={currentModel}
+ *   previewFocusIndex={1}
  * />
  * ```
  */
-export { default as DialogChatAttachmentsViewAll } from './DialogChatAttachmentsViewAll.svelte';
+export { default as DialogChatAttachmentsPreview } from './DialogChatAttachmentsPreview.svelte';
 
 /**
  *
@@ -293,6 +239,35 @@ export { default as DialogChatError } from './DialogChatError.svelte';
  */
 export { default as DialogEmptyFileAlert } from './DialogEmptyFileAlert.svelte';
 
+/**
+ * **DialogFileUploadError** - File upload compatibility error
+ *
+ * Alert dialog shown when files cannot be uploaded due to type incompatibility
+ * or model modality restrictions. Displays a categorized list of problematic
+ * files with explanations and shows which file types the current model supports.
+ *
+ * **Architecture:**
+ * - Uses ShadCN AlertDialog for modal display
+ * - Receives structured file error data from ChatScreen
+ * - Triggered during file upload validation in processFiles()
+ *
+ * **Features:**
+ * - Categorized display: unsupported types vs modality restrictions
+ * - File name in monospace with contextual error messages
+ * - Summary of supported file types for the current model
+ * - Scrollable content area for large error lists
+ * - Single "Got it" dismiss button
+ *
+ * @example
+ * ```svelte
+ * <DialogFileUploadError
+ *   bind:open={showFileError}
+ *   fileErrorData={errorData}
+ * />
+ * ```
+ */
+export { default as DialogFileUploadError } from './DialogFileUploadError.svelte';
+
 /**
  * **DialogModelNotAvailable** - Model unavailable error
  *
@@ -416,7 +391,7 @@ export { default as DialogConversationSelection } from './DialogConversationSele
 export { default as DialogModelInformation } from './DialogModelInformation.svelte';
 
 /**
- * **DialogMcpResources** - MCP resources browser dialog
+ * **DialogMcpResourcesBrowser** - MCP resources browser dialog
  *
  * Dialog for browsing and attaching MCP resources to chat context.
  * Displays resources from connected MCP servers in a tree structure
@@ -424,7 +399,7 @@ export { default as DialogModelInformation } from './DialogModelInformation.svel
  *
  * **Architecture:**
  * - Uses ShadCN Dialog with two-panel layout
- * - Left panel: McpResourceBrowser with tree navigation
+ * - Left panel: McpResourcesBrowser with tree navigation
  * - Right panel: McpResourcePreview for selected resource
  * - Integrates with mcpStore for resource fetching and attachment
  *
@@ -437,13 +412,13 @@ export { default as DialogModelInformation } from './DialogModelInformation.svel
  *
  * @example
  * ```svelte
- * <DialogMcpResources
+ * <DialogMcpResourcesBrowser
  *   bind:open={showResources}
  *   onAttach={handleResourceAttach}
  * />
  * ```
  */
-export { default as DialogMcpResources } from './DialogMcpResources.svelte';
+export { default as DialogMcpResourcesBrowser } from './DialogMcpResourcesBrowser.svelte';
 
 /**
  * **DialogMcpResourcePreview** - MCP resource content preview
diff --git a/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte b/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
index 9a8088d9d..19dd7e6a7 100644
--- a/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
+++ b/tools/server/webui/src/lib/components/app/forms/SearchInput.svelte
@@ -11,6 +11,7 @@
 		class?: string;
 		id?: string;
 		ref?: HTMLInputElement | null;
+		isCancelAlwaysVisible?: boolean;
 	}
 
 	let {
@@ -21,10 +22,11 @@
 		onKeyDown,
 		class: className,
 		id,
-		ref = $bindable(null)
+		ref = $bindable(null),
+		isCancelAlwaysVisible = false
 	}: Props = $props();
 
-	let showClearButton = $derived(!!value || !!onClose);
+	let showClearButton = $derived(isCancelAlwaysVisible || !!value || !!onClose);
 
 	function handleInput(event: Event) {
 		const target = event.target as HTMLInputElement;
@@ -63,7 +65,7 @@
 	{#if showClearButton}
 		<button
 			type="button"
-			class="absolute top-1/2 right-3 -translate-y-1/2 transform text-muted-foreground transition-colors hover:text-foreground"
+			class="absolute top-1/2 right-3 -translate-y-1/2 transform cursor-pointer text-muted-foreground transition-colors hover:text-foreground"
 			onclick={handleClear}
 			aria-label={value ? 'Clear search' : 'Close'}
 		>
diff --git a/tools/server/webui/src/lib/components/app/index.ts b/tools/server/webui/src/lib/components/app/index.ts
index 56bd8a485..4914c743a 100644
--- a/tools/server/webui/src/lib/components/app/index.ts
+++ b/tools/server/webui/src/lib/components/app/index.ts
@@ -6,6 +6,7 @@ export * from './dialogs';
 export * from './forms';
 export * from './mcp';
 export * from './misc';
+export * from './settings';
 export * from './models';
 export * from './navigation';
 export * from './server';
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte
index 75858493e..2f732cfd5 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpActiveServersAvatars.svelte
@@ -1,15 +1,17 @@
 <script lang="ts">
-	import { cn } from '$lib/components/ui/utils';
+	import * as Tooltip from '$lib/components/ui/tooltip';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { HealthCheckStatus } from '$lib/enums';
 	import { MAX_DISPLAYED_MCP_AVATARS } from '$lib/constants';
+	import McpLogo from './McpLogo.svelte';
 
 	interface Props {
 		class?: string;
+		onclick?: () => void;
 	}
 
-	let { class: className = '' }: Props = $props();
+	let { class: className = '', onclick }: Props = $props();
 
 	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
 	let enabledMcpServersForChat = $derived(
@@ -28,30 +30,60 @@
 	let mcpFavicons = $derived(
 		healthyEnabledMcpServers
 			.slice(0, MAX_DISPLAYED_MCP_AVATARS)
-			.map((s) => ({ id: s.id, url: mcpStore.getServerFavicon(s.id) }))
+			.map((s) => ({
+				id: s.id,
+				name: mcpStore.getServerDisplayName(s.id),
+				url: mcpStore.getServerFavicon(s.id)
+			}))
 			.filter((f) => f.url !== null)
 	);
 </script>
 
-{#if hasEnabledMcpServers && mcpFavicons.length > 0}
-	<div class={cn('inline-flex items-center gap-1.5', className)}>
+{#if !hasEnabledMcpServers}
+	<button
+		class={[
+			'inline-flex cursor-pointer items-center gap-0.75 opacity-70 transition-opacity hover:opacity-100',
+			className,
+			'opacity-50 hover:opacity-100'
+		]}
+		{onclick}
+	>
+		<Tooltip.Root>
+			<Tooltip.Trigger>
+				<McpLogo class="h-4 w-4" />
+			</Tooltip.Trigger>
+
+			<Tooltip.Content>
+				<p>MCP Servers</p>
+			</Tooltip.Content>
+		</Tooltip.Root>
+	</button>
+{:else if mcpFavicons.length > 0}
+	<button class={['inline-flex items-center gap-0.75', className]} {onclick}>
 		<div class="flex -space-x-1">
 			{#each mcpFavicons as favicon (favicon.id)}
-				<div class="box-shadow-lg overflow-hidden rounded-full bg-muted ring-1 ring-muted">
-					<img
-						src={favicon.url}
-						alt=""
-						class="h-4 w-4"
-						onerror={(e) => {
-							(e.currentTarget as HTMLImageElement).style.display = 'none';
-						}}
-					/>
-				</div>
+				<Tooltip.Root>
+					<Tooltip.Trigger>
+						<div class="box-shadow-lg overflow-hidden rounded-full bg-muted ring-1 ring-muted">
+							<img
+								src={favicon.url}
+								alt=""
+								class="h-4 w-4"
+								onerror={(e) => {
+									(e.currentTarget as HTMLImageElement).style.display = 'none';
+								}}
+							/>
+						</div>
+					</Tooltip.Trigger>
+					<Tooltip.Content>
+						<p>{favicon.name}</p>
+					</Tooltip.Content>
+				</Tooltip.Root>
 			{/each}
 		</div>
 
 		{#if extraServersCount > 0}
 			<span class="text-xs text-muted-foreground">+{extraServersCount}</span>
 		{/if}
-	</div>
+	</button>
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
index 6e24ce642..305c9db3a 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpConnectionLogs.svelte
@@ -1,7 +1,6 @@
 <script lang="ts">
 	import { ChevronDown, ChevronRight } from '@lucide/svelte';
 	import * as Collapsible from '$lib/components/ui/collapsible';
-	import { cn } from '$lib/components/ui/utils';
 	import type { MCPConnectionLog } from '$lib/types';
 	import { formatTime, getMcpLogLevelIcon, getMcpLogLevelClass } from '$lib/utils';
 
@@ -15,6 +14,18 @@
 	let { logs, connectionTimeMs, defaultExpanded = false, class: className }: Props = $props();
 
 	let isExpanded = $derived(defaultExpanded);
+
+	function formatLogDetails(details: unknown): string {
+		if (details == null) {
+			return '';
+		}
+
+		try {
+			return JSON.stringify(details, null, 2);
+		} catch {
+			return String(details);
+		}
+	}
 </script>
 
 {#if logs.length > 0}
@@ -42,17 +53,27 @@
 				class="max-h-64 space-y-0.5 overflow-y-auto rounded bg-muted/50 p-2 font-mono text-[10px]"
 			>
 				{#each logs as log (log.timestamp.getTime() + log.message)}
-					{@const Icon = getMcpLogLevelIcon(log.level)}
+					{@const IconComponent = getMcpLogLevelIcon(log.level)}
 
-					<div class={cn('flex items-start gap-1.5', getMcpLogLevelClass(log.level))}>
+					<div class={['flex items-start gap-1.5', getMcpLogLevelClass(log.level)]}>
 						<span class="shrink-0 text-muted-foreground">
 							{formatTime(log.timestamp)}
 						</span>
 
-						<Icon class="mt-0.5 h-3 w-3 shrink-0" />
+						<IconComponent class="mt-0.5 h-3 w-3 shrink-0" />
 
 						<span class="break-all">{log.message}</span>
 					</div>
+
+					{#if log.details !== undefined}
+						<details class="ml-11">
+							<summary class="cursor-pointer text-[10px] text-muted-foreground"> details </summary>
+
+							<pre
+								class="mt-1 overflow-x-auto rounded bg-background/70 p-2 text-[10px] break-all whitespace-pre-wrap text-foreground/80">
+{formatLogDetails(log.details)}</pre>
+						</details>
+					{/if}
 				{/each}
 			</div>
 		</Collapsible.Content>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte
index 6508c02a7..55e1e20a2 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourcePreview.svelte
@@ -1,7 +1,6 @@
 <script lang="ts">
 	import { FileText, Loader2, AlertCircle, Download } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
-	import { cn } from '$lib/components/ui/utils';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import {
 		isImageMimeType,
@@ -71,7 +70,7 @@
 	}
 </script>
 
-<div class={cn('flex flex-col gap-3', className)}>
+<div class={['flex flex-col gap-3', className]}>
 	{#if !resource}
 		<div class="flex flex-col items-center justify-center gap-2 py-8 text-muted-foreground">
 			<FileText class="h-8 w-8 opacity-50" />
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte
similarity index 89%
rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte
rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte
index 9d7e9c337..24538e8d7 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowser.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowser.svelte
@@ -1,13 +1,12 @@
 <script lang="ts">
-	import { cn } from '$lib/components/ui/utils';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { mcpResources, mcpResourcesLoading } from '$lib/stores/mcp-resources.svelte';
 	import type { MCPServerResources, MCPResourceInfo, MCPResourceTemplateInfo } from '$lib/types';
 	import { SvelteMap, SvelteSet } from 'svelte/reactivity';
 	import { parseResourcePath } from '$lib/utils';
-	import McpResourceBrowserHeader from './McpResourceBrowserHeader.svelte';
-	import McpResourceBrowserEmptyState from './McpResourceBrowserEmptyState.svelte';
-	import McpResourceBrowserServerItem from './McpResourceBrowserServerItem.svelte';
+	import McpResourcesBrowserHeader from './McpResourcesBrowserHeader.svelte';
+	import McpResourcesBrowserEmptyState from './McpResourcesBrowserEmptyState.svelte';
+	import McpResourcesBrowserServerItem from './McpResourcesBrowserServerItem.svelte';
 
 	interface Props {
 		onSelect?: (resource: MCPResourceInfo, shiftKey?: boolean) => void;
@@ -121,8 +120,8 @@
 	}
 </script>
 
-<div class={cn('flex flex-col gap-2', className)}>
-	<McpResourceBrowserHeader
+<div class={['flex flex-col gap-2', className]}>
+	<McpResourcesBrowserHeader
 		{isLoading}
 		onRefresh={handleRefresh}
 		onSearch={(q) => (searchQuery = q)}
@@ -131,10 +130,10 @@
 
 	<div class="flex flex-col gap-1">
 		{#if filteredResources.size === 0}
-			<McpResourceBrowserEmptyState {isLoading} />
+			<McpResourcesBrowserEmptyState {isLoading} />
 		{:else}
 			{#each [...filteredResources.entries()] as [serverName, serverRes] (serverName)}
-				<McpResourceBrowserServerItem
+				<McpResourcesBrowserServerItem
 					serverName={serverName as string}
 					serverRes={serverRes as MCPServerResources}
 					isExpanded={expandedServers.has(serverName as string)}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserEmptyState.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserEmptyState.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserEmptyState.svelte
rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserEmptyState.svelte
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserHeader.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserHeader.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserHeader.svelte
rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserHeader.svelte
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserServerItem.svelte
similarity index 91%
rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte
rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserServerItem.svelte
index 01ab10896..9acd101cd 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/McpResourceBrowserServerItem.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/McpResourcesBrowserServerItem.svelte
@@ -2,7 +2,6 @@
 	import { FolderOpen, ChevronDown, ChevronRight, Loader2, Braces } from '@lucide/svelte';
 	import { Checkbox } from '$lib/components/ui/checkbox';
 	import * as Collapsible from '$lib/components/ui/collapsible';
-	import { cn } from '$lib/components/ui/utils';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import type { MCPResourceInfo, MCPResourceTemplateInfo, MCPServerResources } from '$lib/types';
 	import { SvelteSet } from 'svelte/reactivity';
@@ -11,8 +10,9 @@
 		buildResourceTree,
 		countTreeResources,
 		sortTreeChildren
-	} from './mcp-resource-browser';
+	} from './mcp-resources-browser';
 	import { getDisplayName, getResourceIcon } from '$lib/utils';
+	import { McpServerIdentity } from '$lib/components/app/mcp';
 
 	interface Props {
 		serverName: string;
@@ -44,11 +44,12 @@
 		searchQuery = ''
 	}: Props = $props();
 
+	let serverDisplayName = $derived(mcpStore.getServerDisplayName(serverName));
+	let serverFaviconUrl = $derived(mcpStore.getServerFavicon(serverName));
+
 	const hasResources = $derived(serverRes.resources.length > 0);
 	const hasTemplates = $derived(serverRes.templates.length > 0);
 	const hasContent = $derived(hasResources || hasTemplates);
-	const displayName = $derived(mcpStore.getServerDisplayName(serverName));
-	const favicon = $derived(mcpStore.getServerFavicon(serverName));
 	const resourceTree = $derived(buildResourceTree(serverRes.resources, serverName, searchQuery));
 
 	const templateInfos = $derived<MCPResourceTemplateInfo[]>(
@@ -126,11 +127,11 @@
 			{/if}
 
 			<button
-				class={cn(
+				class={[
 					'flex flex-1 items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors',
 					'hover:bg-muted/50',
 					isSelected && 'bg-muted'
-				)}
+				]}
 				onclick={(e: MouseEvent) => handleResourceClick(resource, e)}
 				title={resourceDisplayName}
 			>
@@ -154,21 +155,15 @@
 			<ChevronRight class="h-3.5 w-3.5" />
 		{/if}
 
-		<span class="inline-flex flex-col items-start text-left">
-			<span class="inline-flex items-center justify-start gap-1.5 font-medium">
-				{#if favicon}
-					<img
-						src={favicon}
-						alt=""
-						class="h-4 w-4 shrink-0 rounded-sm"
-						onerror={(e) => {
-							(e.currentTarget as HTMLImageElement).style.display = 'none';
-						}}
-					/>
-				{/if}
-
-				{displayName}
-			</span>
+		<span class="inline-flex flex-col items-start gap-1 text-left">
+			<div class="inline-flex min-w-0 items-center gap-1.5">
+				<McpServerIdentity
+					displayName={serverDisplayName}
+					faviconUrl={serverFaviconUrl}
+					iconClass="h-4 w-4"
+					showVersion={false}
+				/>
+			</div>
 
 			<span class="text-xs text-muted-foreground">
 				({serverRes.resources.length} resource{serverRes.resources.length !== 1
@@ -213,11 +208,11 @@
 
 					{#each templateInfos as template (template.uriTemplate)}
 						<button
-							class={cn(
+							class={[
 								'flex w-full items-center gap-2 rounded px-2 py-1 text-left text-sm transition-colors',
 								'hover:bg-muted/50',
 								selectedTemplateUri === template.uriTemplate && 'bg-muted'
-							)}
+							]}
 							onclick={() => onTemplateSelect(template)}
 							title={template.uriTemplate}
 						>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/mcp-resource-browser.ts b/tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/mcp-resources-browser.ts
similarity index 100%
rename from tools/server/webui/src/lib/components/app/mcp/McpResourceBrowser/mcp-resource-browser.ts
rename to tools/server/webui/src/lib/components/app/mcp/McpResourcesBrowser/mcp-resources-browser.ts
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte
index 6a7b56370..199cb1458 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCard.svelte
@@ -17,17 +17,17 @@
 
 	interface Props {
 		server: MCPServerSettingsEntry;
-		faviconUrl: string | null;
 		enabled?: boolean;
 		onToggle: (enabled: boolean) => void;
 		onUpdate: (updates: Partial<MCPServerSettingsEntry>) => void;
 		onDelete: () => void;
 	}
 
-	let { server, faviconUrl, enabled, onToggle, onUpdate, onDelete }: Props = $props();
+	let { server, enabled, onToggle, onUpdate, onDelete }: Props = $props();
 
 	let healthState = $derived<HealthCheckState>(mcpStore.getHealthCheckState(server.id));
 	let displayName = $derived(mcpStore.getServerLabel(server));
+	let faviconUrl = $derived(mcpStore.getServerFavicon(server.id));
 	let isIdle = $derived(healthState.status === HealthCheckStatus.IDLE);
 	let isHealthChecking = $derived(healthState.status === HealthCheckStatus.CONNECTING);
 	let isConnected = $derived(healthState.status === HealthCheckStatus.SUCCESS);
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte
index 5af45bb35..5544bcec4 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerCard/McpServerCardHeader.svelte
@@ -1,15 +1,14 @@
 <script lang="ts">
-	import { Cable, ExternalLink } from '@lucide/svelte';
 	import { Switch } from '$lib/components/ui/switch';
 	import { Badge } from '$lib/components/ui/badge';
-	import { McpCapabilitiesBadges } from '$lib/components/app/mcp';
+	import { McpCapabilitiesBadges, McpServerIdentity } from '$lib/components/app/mcp';
 	import { MCP_TRANSPORT_LABELS, MCP_TRANSPORT_ICONS } from '$lib/constants';
 	import { MCPTransportType } from '$lib/enums';
 	import type { MCPServerInfo, MCPCapabilitiesInfo } from '$lib/types';
 
 	interface Props {
 		displayName: string;
-		faviconUrl: string | null;
+		faviconUrl?: string | null;
 		enabled: boolean;
 		disabled?: boolean;
 		onToggle: (enabled: boolean) => void;
@@ -32,46 +31,20 @@
 
 <div class="space-y-3">
 	<div class="flex items-start justify-between gap-3">
-		<div class="grid min-w-0 gap-3">
-			<div class="flex items-center gap-2 overflow-hidden">
-				{#if faviconUrl}
-					<img
-						src={faviconUrl}
-						alt=""
-						class="h-5 w-5 shrink-0 rounded"
-						onerror={(e) => {
-							(e.currentTarget as HTMLImageElement).style.display = 'none';
-						}}
-					/>
-				{:else}
-					<div class="flex h-5 w-5 shrink-0 items-center justify-center rounded bg-muted">
-						<Cable class="h-3 w-3 text-muted-foreground" />
-					</div>
-				{/if}
-
-				<p class="min-w-0 shrink-0 truncate leading-none font-medium">{displayName}</p>
-
-				{#if serverInfo?.version}
-					<Badge variant="secondary" class="h-4 min-w-0 truncate px-1 text-[10px]">
-						v{serverInfo.version}
-					</Badge>
-				{/if}
-
-				{#if serverInfo?.websiteUrl}
-					<a
-						href={serverInfo.websiteUrl}
-						target="_blank"
-						rel="noopener noreferrer"
-						class="shrink-0 text-muted-foreground hover:text-foreground"
-						aria-label="Open website"
-					>
-						<ExternalLink class="h-3 w-3" />
-					</a>
-				{/if}
+		<div class="flex min-w-0 flex-col gap-3">
+			<div class="inline-flex items-center gap-2">
+				<McpServerIdentity
+					{displayName}
+					{faviconUrl}
+					{serverInfo}
+					iconClass="h-5 w-5"
+					iconRounded="rounded"
+					nameClass="leading-6 font-medium"
+				/>
 			</div>
 
 			{#if capabilities || transportType}
-				<div class="flex flex-wrap items-center gap-1">
+				<div class="flex flex-wrap items-center gap-1.5">
 					{#if transportType}
 						{@const TransportIcon = MCP_TRANSPORT_ICONS[transportType]}
 						<Badge variant="outline" class="h-5 gap-1 px-1.5 text-[10px]">
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte
index 52d757375..22eca1231 100644
--- a/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerForm.svelte
@@ -64,9 +64,11 @@
 
 		{#if !isWebSocket && onUseProxyChange}
 			<label
-				class="mt-3 flex items-start gap-2"
-				class:cursor-pointer={mcpStore.isProxyAvailable}
-				class:opacity-80={!mcpStore.isProxyAvailable}
+				class={[
+					'mt-3 flex items-start gap-2',
+					mcpStore.isProxyAvailable && 'cursor-pointer',
+					!mcpStore.isProxyAvailable && 'opacity-80'
+				]}
 			>
 				<Switch
 					class="mt-1"
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServerIdentity.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServerIdentity.svelte
new file mode 100644
index 000000000..feafc5d81
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/mcp/McpServerIdentity.svelte
@@ -0,0 +1,67 @@
+<script lang="ts">
+	import { ExternalLink } from '@lucide/svelte';
+	import { Badge } from '$lib/components/ui/badge';
+	import { TruncatedText } from '$lib/components/app/misc';
+	import { sanitizeExternalUrl } from '$lib/utils';
+	import type { MCPServerInfo } from '$lib/types';
+
+	interface Props {
+		displayName?: string;
+		faviconUrl?: string | null;
+		serverInfo?: MCPServerInfo;
+		iconClass?: string;
+		iconRounded?: string;
+		showVersion?: boolean;
+		showWebsite?: boolean;
+		nameClass?: string;
+	}
+
+	let {
+		displayName,
+		faviconUrl = null,
+		serverInfo,
+		iconClass = 'h-5 w-5',
+		iconRounded = 'rounded-sm',
+		showVersion = true,
+		showWebsite = true,
+		nameClass
+	}: Props = $props();
+
+	let safeWebsiteUrl = $derived(
+		serverInfo?.websiteUrl ? sanitizeExternalUrl(serverInfo.websiteUrl) : null
+	);
+</script>
+
+<span class="flex min-w-0 items-center gap-1.5">
+	{#if faviconUrl}
+		<img
+			src={faviconUrl}
+			alt=""
+			class={['shrink-0', iconRounded, iconClass]}
+			onerror={(e) => {
+				(e.currentTarget as HTMLImageElement).style.display = 'none';
+			}}
+		/>
+	{/if}
+
+	<TruncatedText text={displayName ?? ''} class={nameClass ?? ''} />
+
+	{#if showVersion && serverInfo?.version}
+		<Badge variant="secondary" class="h-4 min-w-0 shrink px-1 text-[10px]">
+			<TruncatedText text={`v${serverInfo.version}`} />
+		</Badge>
+	{/if}
+
+	{#if showWebsite && safeWebsiteUrl}
+		<a
+			href={safeWebsiteUrl}
+			target="_blank"
+			rel="noopener noreferrer"
+			class="shrink-0 text-muted-foreground hover:text-foreground"
+			aria-label="Open website"
+			onclick={(e) => e.stopPropagation()}
+		>
+			<ExternalLink class="h-3 w-3" />
+		</a>
+	{/if}
+</span>
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte
deleted file mode 100644
index ef701a5c0..000000000
--- a/tools/server/webui/src/lib/components/app/mcp/McpServersSelector.svelte
+++ /dev/null
@@ -1,160 +0,0 @@
-<script lang="ts">
-	import { Settings } from '@lucide/svelte';
-	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
-	import { Switch } from '$lib/components/ui/switch';
-	import { DropdownMenuSearchable, McpActiveServersAvatars } from '$lib/components/app';
-	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { mcpStore } from '$lib/stores/mcp.svelte';
-	import { HealthCheckStatus } from '$lib/enums';
-	import type { MCPServerSettingsEntry } from '$lib/types';
-
-	interface Props {
-		class?: string;
-		disabled?: boolean;
-		onSettingsClick?: () => void;
-	}
-
-	let { class: className = '', disabled = false, onSettingsClick }: Props = $props();
-
-	let searchQuery = $state('');
-	let mcpServers = $derived(mcpStore.getServersSorted().filter((s) => s.enabled));
-	let hasMcpServers = $derived(mcpServers.length > 0);
-	let enabledMcpServersForChat = $derived(
-		mcpServers.filter((s) => conversationsStore.isMcpServerEnabledForChat(s.id) && s.url.trim())
-	);
-	let healthyEnabledMcpServers = $derived(
-		enabledMcpServersForChat.filter((s) => {
-			const healthState = mcpStore.getHealthCheckState(s.id);
-			return healthState.status !== HealthCheckStatus.ERROR;
-		})
-	);
-	let hasEnabledMcpServers = $derived(enabledMcpServersForChat.length > 0);
-	let mcpFavicons = $derived(
-		healthyEnabledMcpServers
-			.slice(0, 3)
-			.map((s) => ({ id: s.id, url: mcpStore.getServerFavicon(s.id) }))
-			.filter((f) => f.url !== null)
-	);
-	let filteredMcpServers = $derived.by(() => {
-		const query = searchQuery.toLowerCase().trim();
-		if (query) {
-			return mcpServers.filter((s) => {
-				const name = getServerLabel(s).toLowerCase();
-				const url = s.url.toLowerCase();
-				return name.includes(query) || url.includes(query);
-			});
-		}
-		return mcpServers;
-	});
-
-	function getServerLabel(server: MCPServerSettingsEntry): string {
-		return mcpStore.getServerLabel(server);
-	}
-
-	function handleDropdownOpen(open: boolean) {
-		if (open) {
-			mcpStore.runHealthChecksForServers(mcpServers);
-		}
-	}
-
-	function isServerEnabledForChat(serverId: string): boolean {
-		return conversationsStore.isMcpServerEnabledForChat(serverId);
-	}
-
-	async function toggleServerForChat(serverId: string) {
-		await conversationsStore.toggleMcpServerForChat(serverId);
-	}
-</script>
-
-{#if hasMcpServers && hasEnabledMcpServers && mcpFavicons.length > 0}
-	<DropdownMenu.Root
-		onOpenChange={(open) => {
-			if (!open) {
-				searchQuery = '';
-			}
-			handleDropdownOpen(open);
-		}}
-	>
-		<DropdownMenu.Trigger
-			{disabled}
-			onclick={(e) => {
-				e.preventDefault();
-				e.stopPropagation();
-			}}
-		>
-			<button
-				type="button"
-				class="inline-flex cursor-pointer items-center rounded-sm py-1 disabled:cursor-not-allowed disabled:opacity-60"
-				{disabled}
-				aria-label="MCP Servers"
-			>
-				<McpActiveServersAvatars class={className} />
-			</button>
-		</DropdownMenu.Trigger>
-
-		<DropdownMenu.Content align="start" class="w-72 pt-0">
-			<DropdownMenuSearchable
-				bind:searchValue={searchQuery}
-				placeholder="Search servers..."
-				emptyMessage="No servers found"
-				isEmpty={filteredMcpServers.length === 0}
-			>
-				<div class="max-h-64 overflow-y-auto">
-					{#each filteredMcpServers as server (server.id)}
-						{@const healthState = mcpStore.getHealthCheckState(server.id)}
-						{@const hasError = healthState.status === HealthCheckStatus.ERROR}
-						{@const isEnabledForChat = isServerEnabledForChat(server.id)}
-
-						<button
-							type="button"
-							class="flex w-full items-center justify-between gap-2 px-2 py-2 text-left transition-colors hover:bg-accent disabled:cursor-not-allowed disabled:opacity-50"
-							onclick={() => !hasError && toggleServerForChat(server.id)}
-							disabled={hasError}
-						>
-							<div class="flex min-w-0 flex-1 items-center gap-2">
-								{#if mcpStore.getServerFavicon(server.id)}
-									<img
-										src={mcpStore.getServerFavicon(server.id)}
-										alt=""
-										class="h-4 w-4 shrink-0 rounded-sm"
-										onerror={(e) => {
-											(e.currentTarget as HTMLImageElement).style.display = 'none';
-										}}
-									/>
-								{/if}
-
-								<span class="truncate text-sm">{getServerLabel(server)}</span>
-
-								{#if hasError}
-									<span
-										class="shrink-0 rounded bg-destructive/15 px-1.5 py-0.5 text-xs text-destructive"
-									>
-										Error
-									</span>
-								{/if}
-							</div>
-
-							<Switch
-								checked={isEnabledForChat}
-								disabled={hasError}
-								onclick={(e: MouseEvent) => e.stopPropagation()}
-								onCheckedChange={() => toggleServerForChat(server.id)}
-							/>
-						</button>
-					{/each}
-				</div>
-
-				{#snippet footer()}
-					<DropdownMenu.Item
-						class="flex cursor-pointer items-center gap-2"
-						onclick={onSettingsClick}
-					>
-						<Settings class="h-4 w-4" />
-
-						<span>Manage MCP Servers</span>
-					</DropdownMenu.Item>
-				{/snippet}
-			</DropdownMenuSearchable>
-		</DropdownMenu.Content>
-	</DropdownMenu.Root>
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte b/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte
deleted file mode 100644
index 85232b586..000000000
--- a/tools/server/webui/src/lib/components/app/mcp/McpServersSettings.svelte
+++ /dev/null
@@ -1,150 +0,0 @@
-<script lang="ts">
-	import { Plus } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
-	import * as Card from '$lib/components/ui/card';
-	import { uuid } from '$lib/utils';
-	import { mcpStore } from '$lib/stores/mcp.svelte';
-	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { McpServerCard, McpServerCardSkeleton, McpServerForm } from '$lib/components/app/mcp';
-	import { MCP_SERVER_ID_PREFIX } from '$lib/constants';
-	import { HealthCheckStatus } from '$lib/enums';
-
-	let servers = $derived(mcpStore.getServersSorted());
-
-	let initialLoadComplete = $state(false);
-
-	$effect(() => {
-		if (initialLoadComplete) return;
-
-		const allChecked =
-			servers.length > 0 &&
-			servers.every((server) => {
-				const state = mcpStore.getHealthCheckState(server.id);
-
-				return (
-					state.status === HealthCheckStatus.SUCCESS || state.status === HealthCheckStatus.ERROR
-				);
-			});
-
-		if (allChecked) {
-			initialLoadComplete = true;
-		}
-	});
-
-	let isAddingServer = $state(false);
-	let newServerUrl = $state('');
-	let newServerHeaders = $state('');
-	let newServerUrlError = $derived.by(() => {
-		if (!newServerUrl.trim()) return 'URL is required';
-		try {
-			new URL(newServerUrl);
-
-			return null;
-		} catch {
-			return 'Invalid URL format';
-		}
-	});
-
-	function showAddServerForm() {
-		isAddingServer = true;
-		newServerUrl = '';
-		newServerHeaders = '';
-	}
-
-	function cancelAddServer() {
-		isAddingServer = false;
-		newServerUrl = '';
-		newServerHeaders = '';
-	}
-
-	function saveNewServer() {
-		if (newServerUrlError) return;
-
-		const newServerId = uuid() ?? `${MCP_SERVER_ID_PREFIX}-${Date.now()}`;
-
-		mcpStore.addServer({
-			id: newServerId,
-			enabled: true,
-			url: newServerUrl.trim(),
-			headers: newServerHeaders.trim() || undefined
-		});
-
-		conversationsStore.setMcpServerOverride(newServerId, true);
-
-		isAddingServer = false;
-		newServerUrl = '';
-		newServerHeaders = '';
-	}
-</script>
-
-<div class="space-y-5 md:space-y-4">
-	<div class="flex items-start justify-between gap-4">
-		<div>
-			<h4 class="text-base font-semibold">Manage Servers</h4>
-		</div>
-
-		{#if !isAddingServer}
-			<Button variant="outline" size="sm" class="shrink-0" onclick={showAddServerForm}>
-				<Plus class="h-4 w-4" />
-
-				Add New Server
-			</Button>
-		{/if}
-	</div>
-
-	{#if isAddingServer}
-		<Card.Root class="bg-muted/30 p-4">
-			<div class="space-y-4">
-				<p class="font-medium">Add New Server</p>
-
-				<McpServerForm
-					url={newServerUrl}
-					headers={newServerHeaders}
-					onUrlChange={(v) => (newServerUrl = v)}
-					onHeadersChange={(v) => (newServerHeaders = v)}
-					urlError={newServerUrl ? newServerUrlError : null}
-					id="new-server"
-				/>
-
-				<div class="flex items-center justify-end gap-2">
-					<Button variant="secondary" size="sm" onclick={cancelAddServer}>Cancel</Button>
-
-					<Button
-						variant="default"
-						size="sm"
-						onclick={saveNewServer}
-						disabled={!!newServerUrlError}
-						aria-label="Save"
-					>
-						Add
-					</Button>
-				</div>
-			</div>
-		</Card.Root>
-	{/if}
-
-	{#if servers.length === 0 && !isAddingServer}
-		<div class="rounded-md border border-dashed p-4 text-sm text-muted-foreground">
-			No MCP Servers configured yet. Add one to enable agentic features.
-		</div>
-	{/if}
-
-	{#if servers.length > 0}
-		<div class="space-y-3">
-			{#each servers as server (server.id)}
-				{#if !initialLoadComplete}
-					<McpServerCardSkeleton />
-				{:else}
-					<McpServerCard
-						{server}
-						faviconUrl={mcpStore.getServerFavicon(server.id)}
-						enabled={conversationsStore.isMcpServerEnabledForChat(server.id)}
-						onToggle={async () => await conversationsStore.toggleMcpServerForChat(server.id)}
-						onUpdate={(updates) => mcpStore.updateServer(server.id, updates)}
-						onDelete={() => mcpStore.removeServer(server.id)}
-					/>
-				{/if}
-			{/each}
-		</div>
-	{/if}
-</div>
diff --git a/tools/server/webui/src/lib/components/app/mcp/index.ts b/tools/server/webui/src/lib/components/app/mcp/index.ts
index 6ab262a8c..3d30bb3b4 100644
--- a/tools/server/webui/src/lib/components/app/mcp/index.ts
+++ b/tools/server/webui/src/lib/components/app/mcp/index.ts
@@ -39,7 +39,7 @@
  * <McpServersSettings />
  * ```
  */
-export { default as McpServersSettings } from './McpServersSettings.svelte';
+export { default as McpServersSettings } from '../settings/SettingsMcpServers.svelte';
 
 /**
  * **McpActiveServersAvatars** - Active MCP servers indicator
@@ -69,33 +69,6 @@ export { default as McpServersSettings } from './McpServersSettings.svelte';
  */
 export { default as McpActiveServersAvatars } from './McpActiveServersAvatars.svelte';
 
-/**
- * **McpServersSelector** - Quick MCP server toggle dropdown
- *
- * Compact dropdown for quickly enabling/disabling MCP servers for the current chat.
- * Uses McpActiveServersAvatars as trigger and shows searchable server list with switches.
- *
- * **Architecture:**
- * - Uses DropdownMenuSearchable for searchable dropdown UI
- * - McpActiveServersAvatars as the trigger element
- * - Integrates with conversationsStore for per-chat toggle
- * - Runs health checks on dropdown open
- *
- * **Features:**
- * - Searchable server list by name/URL
- * - Switch toggles matching McpServersSettings behavior
- * - Error state display for unhealthy servers
- * - Footer link to full MCP settings dialog
- *
- * @example
- * ```svelte
- * <McpServersSelector
- *   onSettingsClick={() => showMcpSettings = true}
- * />
- * ```
- */
-export { default as McpServersSelector } from './McpServersSelector.svelte';
-
 /**
  * **McpCapabilitiesBadges** - Server capabilities display
  *
@@ -207,6 +180,25 @@ export { default as McpServerCardDeleteDialog } from './McpServerCard/McpServerC
 /** Skeleton loading state for server card during health checks. */
 export { default as McpServerCardSkeleton } from './McpServerCardSkeleton.svelte';
 
+/**
+ * **McpServerIdentity** - Server identity display (icon, name, version)
+ *
+ * Reusable headless component for displaying server name, favicon/icon, and version badge.
+ * Accepts all data via props with no store dependencies for predictable rendering.
+ *
+ * **Features:**
+ * - Server favicon/icon with fallback
+ * - Truncated display name with max-width
+ * - Optional version badge (v1.2.3)
+ * - Optional external link to server website
+ *
+ * @example
+ * ```svelte
+ * <McpServerIdentity displayName={name} faviconUrl={iconUrl} serverInfo={info} />
+ * ```
+ */
+export { default as McpServerIdentity } from './McpServerIdentity.svelte';
+
 /**
  * **McpServerInfo** - Server instructions display
  *
@@ -216,7 +208,7 @@ export { default as McpServerCardSkeleton } from './McpServerCardSkeleton.svelte
 export { default as McpServerInfo } from './McpServerInfo.svelte';
 
 /**
- * **McpResourceBrowser** - MCP resources tree browser
+ * **McpResourcesBrowser** - MCP resources tree browser
  *
  * Tree view component showing resources grouped by server.
  * Supports resource selection and quick attach actions.
@@ -229,7 +221,7 @@ export { default as McpServerInfo } from './McpServerInfo.svelte';
  * - Refresh all resources action
  * - Loading states per server
  */
-export { default as McpResourceBrowser } from './McpResourceBrowser/McpResourceBrowser.svelte';
+export { default as McpResourcesBrowser } from './McpResourcesBrowser/McpResourcesBrowser.svelte';
 
 /**
  * **McpResourcePreview** - MCP resource content preview
diff --git a/tools/server/webui/src/lib/components/app/misc/CodeBlockActions.svelte b/tools/server/webui/src/lib/components/app/misc/CodeBlockActions.svelte
new file mode 100644
index 000000000..fa12d1c62
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/misc/CodeBlockActions.svelte
@@ -0,0 +1,33 @@
+<script lang="ts">
+	import { Eye } from '@lucide/svelte';
+	import { ActionIcon, ActionIconCopyToClipboard } from '$lib/components/app';
+	import { FileTypeText } from '$lib/enums';
+
+	interface Props {
+		code: string;
+		language: string;
+		disabled?: boolean;
+		onPreview?: (code: string, language: string) => void;
+	}
+
+	let { code, language, disabled = false, onPreview }: Props = $props();
+
+	const showPreview = $derived(language?.toLowerCase() === FileTypeText.HTML);
+</script>
+
+<div class="code-block-actions">
+	<ActionIconCopyToClipboard
+		text={code}
+		canCopy={!disabled}
+		ariaLabel={disabled ? 'Code incomplete' : 'Copy code'}
+	/>
+
+	{#if showPreview}
+		<ActionIcon
+			icon={Eye}
+			tooltip={disabled ? 'Code incomplete' : 'Preview code'}
+			{disabled}
+			onclick={() => onPreview!(code, language)}
+		/>
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte b/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
index 21412f47e..db14fd631 100644
--- a/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
+++ b/tools/server/webui/src/lib/components/app/misc/ConversationSelection.svelte
@@ -1,8 +1,7 @@
 <script lang="ts">
-	import { Search, X } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
-	import { Input } from '$lib/components/ui/input';
 	import { Checkbox } from '$lib/components/ui/checkbox';
+	import SearchInput from '$lib/components/app/forms/SearchInput.svelte';
 	import { ScrollArea } from '$lib/components/ui/scroll-area';
 	import { SvelteSet } from 'svelte/reactivity';
 
@@ -111,21 +110,7 @@
 </script>
 
 <div class="space-y-4">
-	<div class="relative">
-		<Search class="absolute top-1/2 left-3 h-4 w-4 -translate-y-1/2 text-muted-foreground" />
-
-		<Input bind:value={searchQuery} placeholder="Search conversations..." class="pr-9 pl-9" />
-
-		{#if searchQuery}
-			<button
-				class="absolute top-1/2 right-3 -translate-y-1/2 text-muted-foreground hover:text-foreground"
-				onclick={() => (searchQuery = '')}
-				type="button"
-			>
-				<X class="h-4 w-4" />
-			</button>
-		{/if}
-	</div>
+	<SearchInput bind:value={searchQuery} placeholder="Search conversations..." />
 
 	<div class="flex items-center justify-between text-sm text-muted-foreground">
 		<span>
@@ -169,15 +154,15 @@
 						{#each filteredConversations as conv (conv.id)}
 							<tr
 								class="cursor-pointer border-b transition-colors hover:bg-muted/50"
-								onclick={(e) => toggleConversation(conv.id, e.shiftKey)}
+								onclick={(event) => toggleConversation(conv.id, event.shiftKey)}
 							>
 								<td class="p-3">
 									<Checkbox
 										checked={selectedIds.has(conv.id)}
-										onclick={(e) => {
-											e.preventDefault();
-											e.stopPropagation();
-											toggleConversation(conv.id, e.shiftKey);
+										onclick={(event) => {
+											event.preventDefault();
+											event.stopPropagation();
+											toggleConversation(conv.id, event.shiftKey);
 										}}
 									/>
 								</td>
diff --git a/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte b/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte
index dc0621cec..06d0e3a05 100644
--- a/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte
+++ b/tools/server/webui/src/lib/components/app/misc/HorizontalScrollCarousel.svelte
@@ -65,7 +65,7 @@
 
 <div class="relative {className}">
 	<button
-		class="absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollLeft
+		class="absolute top-1/2 left-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 {canScrollLeft
 			? 'opacity-100'
 			: 'pointer-events-none opacity-0'}"
 		onclick={scrollLeft}
@@ -83,7 +83,7 @@
 	</div>
 
 	<button
-		class="absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-foreground/15 shadow-md backdrop-blur-xs transition-opacity hover:bg-foreground/35 {canScrollRight
+		class="absolute top-1/2 right-4 z-10 flex h-6 w-6 -translate-y-1/2 items-center justify-center rounded-full bg-background/25 shadow-md backdrop-blur-xs transition-opacity hover:bg-background/45 {canScrollRight
 			? 'opacity-100'
 			: 'pointer-events-none opacity-0'}"
 		onclick={scrollRight}
diff --git a/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte b/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte
index eecc5b1d6..a6b7cb483 100644
--- a/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte
+++ b/tools/server/webui/src/lib/components/app/misc/TruncatedText.svelte
@@ -32,7 +32,7 @@
 
 {#if isTruncated && showTooltip}
 	<Tooltip.Root>
-		<Tooltip.Trigger class={className}>
+		<Tooltip.Trigger class="{className} min-w-0">
 			<span bind:this={textElement} class="block truncate">
 				{text}
 			</span>
@@ -43,7 +43,7 @@
 		</Tooltip.Content>
 	</Tooltip.Root>
 {:else}
-	<span bind:this={textElement} class="{className} block truncate">
+	<span bind:this={textElement} class="{className} block min-w-0 truncate">
 		{text}
 	</span>
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/misc/index.ts b/tools/server/webui/src/lib/components/app/misc/index.ts
index 02bd70b24..64b76fb71 100644
--- a/tools/server/webui/src/lib/components/app/misc/index.ts
+++ b/tools/server/webui/src/lib/components/app/misc/index.ts
@@ -43,3 +43,11 @@ export { default as TruncatedText } from './TruncatedText.svelte';
  * Supports special keys like shift, cmd, and custom text.
  */
 export { default as KeyboardShortcutInfo } from './KeyboardShortcutInfo.svelte';
+
+/**
+ * **CodeBlockActions** - Actions bar for code blocks (copy, preview)
+ *
+ * Displays copy-to-clipboard and preview buttons for code blocks.
+ * Preview button is shown only for HTML code blocks.
+ */
+export { default as CodeBlockActions } from './CodeBlockActions.svelte';
diff --git a/tools/server/webui/src/lib/components/app/models/ModelId.svelte b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
index 272b697c4..b8fb0120e 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelId.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelId.svelte
@@ -5,8 +5,9 @@
 
 	interface Props {
 		modelId: string;
-		showOrgName?: boolean;
+		hideOrgName?: boolean;
 		showRaw?: boolean;
+		hideQuantization?: boolean;
 		aliases?: string[];
 		tags?: string[];
 		class?: string;
@@ -14,8 +15,9 @@
 
 	let {
 		modelId,
-		showOrgName = false,
+		hideOrgName = false,
 		showRaw = undefined,
+		hideQuantization = false,
 		aliases,
 		tags,
 		class: className = '',
@@ -29,10 +31,8 @@
 
 	let parsed = $derived(ModelsService.parseModelId(modelId));
 	let resolvedShowRaw = $derived(showRaw ?? (config().showRawModelNames as boolean) ?? false);
-	let displayName = $derived(
-		aliases && aliases.length > 0 ? aliases[0] : (parsed.modelName ?? modelId)
-	);
-	let remainingAliases = $derived(aliases && aliases.length > 1 ? aliases.slice(1) : []);
+	let displayName = $derived(parsed.modelName ?? modelId);
+	let allAliases = $derived(aliases ?? []);
 	let allTags = $derived([...(parsed.tags ?? []), ...(tags ?? [])]);
 </script>
 
@@ -41,7 +41,7 @@
 {:else}
 	<span class="flex min-w-0 flex-wrap items-center gap-1 {className}" {...rest}>
 		<span class="min-w-0 truncate font-medium">
-			{#if showOrgName && parsed.orgName && !(aliases && aliases.length > 0)}{parsed.orgName}/{/if}{displayName}
+			{#if !hideOrgName && parsed.orgName}{parsed.orgName}/{/if}{displayName}
 		</span>
 
 		{#if parsed.params}
@@ -50,14 +50,14 @@
 			</span>
 		{/if}
 
-		{#if parsed.quantization}
+		{#if parsed.quantization && !hideQuantization}
 			<span class={badgeClass}>
 				{parsed.quantization}
 			</span>
 		{/if}
 
-		{#if remainingAliases.length > 0}
-			{#each remainingAliases as alias (alias)}
+		{#if allAliases.length > 0}
+			{#each allAliases as alias (alias)}
 				<span class={badgeClass}>{alias}</span>
 			{/each}
 		{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
deleted file mode 100644
index ccda78690..000000000
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelector.svelte
+++ /dev/null
@@ -1,437 +0,0 @@
-<script lang="ts">
-	import { onMount } from 'svelte';
-	import { ChevronDown, Loader2, Package } from '@lucide/svelte';
-	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
-	import * as Tooltip from '$lib/components/ui/tooltip';
-	import { cn } from '$lib/components/ui/utils';
-	import {
-		modelsStore,
-		modelOptions,
-		modelsLoading,
-		modelsUpdating,
-		selectedModelId,
-		singleModelName
-	} from '$lib/stores/models.svelte';
-	import { KeyboardKey } from '$lib/enums';
-	import { isRouterMode } from '$lib/stores/server.svelte';
-	import {
-		DialogModelInformation,
-		DropdownMenuSearchable,
-		ModelId,
-		ModelsSelectorList,
-		ModelsSelectorOption
-	} from '$lib/components/app';
-	import type { ModelOption } from '$lib/types/models';
-	import { filterModelOptions, groupModelOptions, type ModelItem } from './utils';
-
-	interface Props {
-		class?: string;
-		currentModel?: string | null;
-		disabled?: boolean;
-		forceForegroundText?: boolean;
-		onModelChange?: (modelId: string, modelName: string) => Promise<boolean> | boolean | void;
-		useGlobalSelection?: boolean;
-	}
-
-	let {
-		class: className = '',
-		currentModel = null,
-		disabled = false,
-		forceForegroundText = false,
-		onModelChange,
-		useGlobalSelection = false
-	}: Props = $props();
-
-	let options = $derived(
-		modelOptions().filter((option) => {
-			const modelProps = modelsStore.getModelProps(option.model);
-
-			return modelProps?.webui !== false;
-		})
-	);
-	let loading = $derived(modelsLoading());
-	let updating = $derived(modelsUpdating());
-	let activeId = $derived(selectedModelId());
-	let isRouter = $derived(isRouterMode());
-	let serverModel = $derived(singleModelName());
-
-	let isHighlightedCurrentModelActive = $derived.by(() => {
-		if (!isRouter || !currentModel) return false;
-
-		const currentOption = options.find((option) => option.model === currentModel);
-
-		return currentOption ? currentOption.id === activeId : false;
-	});
-
-	let isCurrentModelInCache = $derived.by(() => {
-		if (!isRouter || !currentModel) return true;
-
-		return options.some((option) => option.model === currentModel);
-	});
-
-	let isLoadingModel = $state(false);
-
-	let searchTerm = $state('');
-	let highlightedIndex = $state<number>(-1);
-
-	let filteredOptions = $derived(filterModelOptions(options, searchTerm));
-
-	let groupedFilteredOptions = $derived(
-		groupModelOptions(filteredOptions, modelsStore.favoriteModelIds, (m) =>
-			modelsStore.isModelLoaded(m)
-		)
-	);
-
-	$effect(() => {
-		void searchTerm;
-		highlightedIndex = -1;
-	});
-
-	let isOpen = $state(false);
-	let showModelDialog = $state(false);
-	let infoModelId = $state<string | null>(null);
-
-	function handleInfoClick(modelName: string) {
-		infoModelId = modelName;
-		showModelDialog = true;
-	}
-
-	onMount(() => {
-		modelsStore.fetch().catch((error) => {
-			console.error('Unable to load models:', error);
-		});
-	});
-
-	function handleOpenChange(open: boolean) {
-		if (loading || updating) return;
-
-		if (isRouter) {
-			if (open) {
-				isOpen = true;
-				searchTerm = '';
-				highlightedIndex = -1;
-
-				modelsStore.fetchRouterModels().then(() => {
-					modelsStore.fetchModalitiesForLoadedModels();
-				});
-			} else {
-				isOpen = false;
-				searchTerm = '';
-				highlightedIndex = -1;
-			}
-		} else {
-			showModelDialog = open;
-		}
-	}
-
-	export function open() {
-		handleOpenChange(true);
-	}
-
-	function handleSearchKeyDown(event: KeyboardEvent) {
-		if (event.isComposing) return;
-
-		if (event.key === KeyboardKey.ARROW_DOWN) {
-			event.preventDefault();
-
-			if (filteredOptions.length === 0) return;
-
-			if (highlightedIndex === -1 || highlightedIndex === filteredOptions.length - 1) {
-				highlightedIndex = 0;
-			} else {
-				highlightedIndex += 1;
-			}
-		} else if (event.key === KeyboardKey.ARROW_UP) {
-			event.preventDefault();
-
-			if (filteredOptions.length === 0) return;
-
-			if (highlightedIndex === -1 || highlightedIndex === 0) {
-				highlightedIndex = filteredOptions.length - 1;
-			} else {
-				highlightedIndex -= 1;
-			}
-		} else if (event.key === KeyboardKey.ENTER) {
-			event.preventDefault();
-
-			if (highlightedIndex >= 0 && highlightedIndex < filteredOptions.length) {
-				const option = filteredOptions[highlightedIndex];
-
-				handleSelect(option.id);
-			} else if (filteredOptions.length > 0) {
-				highlightedIndex = 0;
-			}
-		}
-	}
-
-	async function handleSelect(modelId: string) {
-		const option = options.find((opt) => opt.id === modelId);
-		if (!option) return;
-
-		let shouldCloseMenu = true;
-
-		if (onModelChange) {
-			const result = await onModelChange(option.id, option.model);
-
-			if (result === false) {
-				shouldCloseMenu = false;
-			}
-		} else {
-			await modelsStore.selectModelById(option.id);
-		}
-
-		if (shouldCloseMenu) {
-			handleOpenChange(false);
-
-			requestAnimationFrame(() => {
-				const textarea = document.querySelector<HTMLTextAreaElement>(
-					'[data-slot="chat-form"] textarea'
-				);
-				textarea?.focus();
-			});
-		}
-
-		if (!onModelChange && isRouter && !modelsStore.isModelLoaded(option.model)) {
-			isLoadingModel = true;
-			modelsStore
-				.loadModel(option.model)
-				.catch((error) => console.error('Failed to load model:', error))
-				.finally(() => (isLoadingModel = false));
-		}
-	}
-
-	function getDisplayOption(): ModelOption | undefined {
-		if (!isRouter) {
-			const displayModel = serverModel || currentModel;
-			if (displayModel) {
-				return {
-					id: serverModel ? 'current' : 'offline-current',
-					model: displayModel,
-					name: displayModel.split('/').pop() || displayModel,
-					capabilities: []
-				};
-			}
-
-			return undefined;
-		}
-
-		if (useGlobalSelection && activeId) {
-			const selected = options.find((option) => option.id === activeId);
-
-			if (selected) return selected;
-		}
-
-		if (currentModel) {
-			if (!isCurrentModelInCache) {
-				return {
-					id: 'not-in-cache',
-					model: currentModel,
-					name: currentModel.split('/').pop() || currentModel,
-					capabilities: []
-				};
-			}
-
-			return options.find((option) => option.model === currentModel);
-		}
-
-		if (activeId) {
-			return options.find((option) => option.id === activeId);
-		}
-
-		return undefined;
-	}
-</script>
-
-<div class={cn('relative inline-flex flex-col items-end gap-1', className)}>
-	{#if loading && options.length === 0 && isRouter}
-		<div class="flex items-center gap-2 text-xs text-muted-foreground">
-			<Loader2 class="h-3.5 w-3.5 animate-spin" />
-
-			Loading models…
-		</div>
-	{:else if options.length === 0 && isRouter}
-		{#if currentModel}
-			<span
-				class={cn(
-					'inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground',
-					className
-				)}
-				style="max-width: min(calc(100cqw - 9rem), 20rem)"
-			>
-				<Package class="h-3.5 w-3.5" />
-
-				<ModelId modelId={currentModel} class="min-w-0" showOrgName />
-			</span>
-		{:else}
-			<p class="text-xs text-muted-foreground">No models available.</p>
-		{/if}
-	{:else}
-		{@const selectedOption = getDisplayOption()}
-
-		{#if isRouter}
-			<DropdownMenu.Root bind:open={isOpen} onOpenChange={handleOpenChange}>
-				<DropdownMenu.Trigger
-					class={cn(
-						`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-						!isCurrentModelInCache
-							? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
-							: forceForegroundText
-								? 'text-foreground'
-								: isHighlightedCurrentModelActive
-									? 'text-foreground'
-									: 'text-muted-foreground',
-						isOpen ? 'text-foreground' : ''
-					)}
-					style="max-width: min(calc(100cqw - 9rem), 20rem)"
-					disabled={disabled || updating}
-				>
-					<Package class="h-3.5 w-3.5" />
-
-					{#if selectedOption}
-						<Tooltip.Root>
-							<Tooltip.Trigger>
-								<!-- prevent another nested button element -->
-								{#snippet child({ props })}
-									<ModelId
-										modelId={selectedOption.model}
-										class="min-w-0 overflow-hidden"
-										showOrgName
-										{...props}
-									/>
-								{/snippet}
-							</Tooltip.Trigger>
-
-							<Tooltip.Content>
-								<p class="font-mono">{selectedOption.model}</p>
-							</Tooltip.Content>
-						</Tooltip.Root>
-					{:else}
-						<span class="min-w-0 font-medium">Select model</span>
-					{/if}
-
-					{#if updating || isLoadingModel}
-						<Loader2 class="h-3 w-3.5 animate-spin" />
-					{:else}
-						<ChevronDown class="h-3 w-3.5" />
-					{/if}
-				</DropdownMenu.Trigger>
-
-				<DropdownMenu.Content
-					align="end"
-					class="w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]"
-				>
-					<DropdownMenuSearchable
-						bind:searchValue={searchTerm}
-						placeholder="Search models..."
-						onSearchKeyDown={handleSearchKeyDown}
-						emptyMessage="No models found."
-						isEmpty={filteredOptions.length === 0 && isCurrentModelInCache}
-					>
-						<div class="models-list">
-							{#if !isCurrentModelInCache && currentModel}
-								<!-- Show unavailable model as first option (disabled) -->
-								<button
-									type="button"
-									class="flex w-full cursor-not-allowed items-center bg-red-400/10 p-2 text-left text-sm text-red-400"
-									role="option"
-									aria-selected="true"
-									aria-disabled="true"
-									disabled
-								>
-									<ModelId modelId={currentModel} class="flex-1" showOrgName />
-
-									<span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span>
-								</button>
-							{/if}
-
-							{#if filteredOptions.length === 0}
-								<p class="px-4 py-3 text-sm text-muted-foreground">No models found.</p>
-							{/if}
-
-							{#snippet modelOption(item: ModelItem, showOrgName: boolean)}
-								{@const { option, flatIndex } = item}
-								{@const isSelected = currentModel === option.model || activeId === option.id}
-								{@const isHighlighted = flatIndex === highlightedIndex}
-								{@const isFav = modelsStore.favoriteModelIds.has(option.model)}
-
-								<ModelsSelectorOption
-									{option}
-									{isSelected}
-									{isHighlighted}
-									{isFav}
-									{showOrgName}
-									onSelect={handleSelect}
-									onInfoClick={handleInfoClick}
-									onMouseEnter={() => (highlightedIndex = flatIndex)}
-									onKeyDown={(e) => {
-										if (e.key === KeyboardKey.ENTER || e.key === KeyboardKey.SPACE) {
-											e.preventDefault();
-											handleSelect(option.id);
-										}
-									}}
-								/>
-							{/snippet}
-
-							<ModelsSelectorList
-								groups={groupedFilteredOptions}
-								{currentModel}
-								{activeId}
-								sectionHeaderClass="my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none"
-								onSelect={handleSelect}
-								onInfoClick={handleInfoClick}
-								renderOption={modelOption}
-							/>
-						</div>
-					</DropdownMenuSearchable>
-				</DropdownMenu.Content>
-			</DropdownMenu.Root>
-		{:else}
-			<button
-				class={cn(
-					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-					!isCurrentModelInCache
-						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
-						: forceForegroundText
-							? 'text-foreground'
-							: isHighlightedCurrentModelActive
-								? 'text-foreground'
-								: 'text-muted-foreground',
-					isOpen ? 'text-foreground' : ''
-				)}
-				style="max-width: min(calc(100cqw - 6.5rem), 32rem)"
-				onclick={() => handleOpenChange(true)}
-				disabled={disabled || updating}
-			>
-				<Package class="h-3.5 w-3.5" />
-
-				{#if selectedOption}
-					<Tooltip.Root>
-						<Tooltip.Trigger>
-							<!-- prevent another nested button element -->
-							{#snippet child({ props })}
-								<ModelId
-									modelId={selectedOption.model}
-									class="min-w-0 overflow-hidden"
-									showOrgName
-									{...props}
-								/>
-							{/snippet}
-						</Tooltip.Trigger>
-
-						<Tooltip.Content>
-							<p class="font-mono">{selectedOption.model}</p>
-						</Tooltip.Content>
-					</Tooltip.Root>
-				{/if}
-
-				{#if updating}
-					<Loader2 class="h-3 w-3.5 animate-spin" />
-				{/if}
-			</button>
-		{/if}
-	{/if}
-</div>
-
-{#if showModelDialog}
-	<DialogModelInformation bind:open={showModelDialog} modelId={infoModelId} />
-{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorDropdown.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorDropdown.svelte
new file mode 100644
index 000000000..998a6a0fa
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorDropdown.svelte
@@ -0,0 +1,290 @@
+<script lang="ts">
+	import { ChevronDown, Loader2, Package } from '@lucide/svelte';
+	import * as DropdownMenu from '$lib/components/ui/dropdown-menu';
+	import * as Tooltip from '$lib/components/ui/tooltip';
+	import { KeyboardKey } from '$lib/enums';
+	import { useModelsSelector } from '$lib/hooks/use-models-selector.svelte';
+	import {
+		DialogModelInformation,
+		DropdownMenuSearchable,
+		ModelId,
+		ModelsSelectorList,
+		ModelsSelectorOption
+	} from '$lib/components/app';
+	import type { ModelItem } from './utils';
+
+	interface Props {
+		class?: string;
+		currentModel?: string | null;
+		disabled?: boolean;
+		forceForegroundText?: boolean;
+		onModelChange?: (modelId: string, modelName: string) => Promise<boolean> | boolean | void;
+		useGlobalSelection?: boolean;
+	}
+
+	let {
+		class: className = '',
+		currentModel = null,
+		disabled = false,
+		forceForegroundText = false,
+		onModelChange,
+		useGlobalSelection = false
+	}: Props = $props();
+
+	let isOpen = $state(false);
+	let highlightedIndex = $state<number>(-1);
+
+	const ms = useModelsSelector({
+		currentModel: () => currentModel,
+		useGlobalSelection: () => useGlobalSelection,
+		onModelChange: () => onModelChange,
+		onOpenChange: (open) => {
+			isOpen = open;
+			highlightedIndex = -1;
+		}
+	});
+
+	$effect(() => {
+		void ms.searchTerm;
+		highlightedIndex = -1;
+	});
+
+	export function open() {
+		ms.handleOpenChange(true);
+	}
+
+	function handleSearchKeyDown(event: KeyboardEvent) {
+		if (event.isComposing) return;
+
+		if (event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+
+			if (ms.filteredOptions.length === 0) return;
+
+			if (highlightedIndex === -1 || highlightedIndex === ms.filteredOptions.length - 1) {
+				highlightedIndex = 0;
+			} else {
+				highlightedIndex += 1;
+			}
+		} else if (event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+
+			if (ms.filteredOptions.length === 0) return;
+
+			if (highlightedIndex === -1 || highlightedIndex === 0) {
+				highlightedIndex = ms.filteredOptions.length - 1;
+			} else {
+				highlightedIndex -= 1;
+			}
+		} else if (event.key === KeyboardKey.ENTER) {
+			event.preventDefault();
+
+			if (highlightedIndex >= 0 && highlightedIndex < ms.filteredOptions.length) {
+				const option = ms.filteredOptions[highlightedIndex];
+
+				ms.handleSelect(option.id);
+			} else if (ms.filteredOptions.length > 0) {
+				highlightedIndex = 0;
+			}
+		}
+	}
+</script>
+
+<div class={['relative inline-flex flex-col items-end gap-1', className]}>
+	{#if ms.loading && ms.options.length === 0 && ms.isRouter}
+		<div class="flex items-center gap-2 text-xs text-muted-foreground">
+			<Loader2 class="h-3.5 w-3.5 animate-spin" />
+
+			Loading models…
+		</div>
+	{:else if ms.options.length === 0 && ms.isRouter}
+		{#if currentModel}
+			<span
+				class={[
+					'inline-flex items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs text-muted-foreground',
+					className
+				]}
+				style="max-width: min(calc(100cqw - 10rem), 20rem)"
+			>
+				<Package class="h-3.5 w-3.5" />
+
+				<ModelId modelId={currentModel} class="min-w-0" hideQuantization />
+			</span>
+		{:else}
+			<p class="text-xs text-muted-foreground">No models available.</p>
+		{/if}
+	{:else}
+		{@const selectedOption = ms.getDisplayOption()}
+
+		{#if ms.isRouter}
+			<DropdownMenu.Root bind:open={isOpen} onOpenChange={ms.handleOpenChange}>
+				<DropdownMenu.Trigger
+					class={[
+						`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground`,
+						!ms.isCurrentModelInCache
+							? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+							: forceForegroundText
+								? 'text-foreground'
+								: ms.isHighlightedCurrentModelActive
+									? 'text-foreground'
+									: 'text-foreground',
+						isOpen && 'text-foreground',
+						'max-w-[min(calc(100vw-4rem) md:max-w-[min(calc(100cqw-9rem),25rem)]'
+					]}
+					disabled={disabled || ms.updating}
+				>
+					<Package class="h-3.5 w-3.5" />
+
+					{#if selectedOption}
+						<Tooltip.Root>
+							<Tooltip.Trigger>
+								<!-- prevent another nested button element -->
+								{#snippet child({ props })}
+									<ModelId
+										modelId={selectedOption.model}
+										class="min-w-0 overflow-hidden"
+										hideOrgName={false}
+										{...props}
+									/>
+								{/snippet}
+							</Tooltip.Trigger>
+
+							<Tooltip.Content>
+								<p class="font-mono">{selectedOption.model}</p>
+							</Tooltip.Content>
+						</Tooltip.Root>
+					{:else}
+						<span class="min-w-0 font-medium">Select model</span>
+					{/if}
+
+					{#if ms.updating || ms.isLoadingModel}
+						<Loader2 class="h-3 w-3.5 animate-spin" />
+					{:else}
+						<ChevronDown class="h-3 w-3.5" />
+					{/if}
+				</DropdownMenu.Trigger>
+
+				<DropdownMenu.Content
+					align="end"
+					class="w-full max-w-[100vw] pt-0 sm:w-max sm:max-w-[calc(100vw-2rem)]"
+				>
+					<DropdownMenuSearchable
+						searchValue={ms.searchTerm}
+						onSearchChange={(v) => ms.setSearchTerm(v)}
+						placeholder="Search models..."
+						onSearchKeyDown={handleSearchKeyDown}
+						emptyMessage="No models found."
+						isEmpty={ms.filteredOptions.length === 0 && ms.isCurrentModelInCache}
+					>
+						<div class="models-list">
+							{#if !ms.isCurrentModelInCache && currentModel}
+								<!-- Show unavailable model as first option (disabled) -->
+								<button
+									type="button"
+									class="flex w-full cursor-not-allowed items-center bg-red-400/10 p-2 text-left text-sm text-red-400"
+									role="option"
+									aria-selected="true"
+									aria-disabled="true"
+									disabled
+								>
+									<ModelId modelId={currentModel} class="flex-1" hideQuantization />
+
+									<span class="ml-2 text-xs whitespace-nowrap opacity-70">(not available)</span>
+								</button>
+							{/if}
+
+							{#if ms.filteredOptions.length === 0}
+								<p class="px-4 py-3 text-sm text-muted-foreground">No models found.</p>
+							{/if}
+
+							{#snippet modelOption(item: ModelItem, hideOrgName: boolean)}
+								{@const { option, flatIndex } = item}
+								{@const isSelected = currentModel === option.model || ms.activeId === option.id}
+								{@const isHighlighted = flatIndex === highlightedIndex}
+								{@const isFav = ms.isFavorite(option.model)}
+
+								<ModelsSelectorOption
+									{option}
+									{isSelected}
+									{isHighlighted}
+									{isFav}
+									{hideOrgName}
+									onSelect={ms.handleSelect}
+									onInfoClick={ms.handleInfoClick}
+									onMouseEnter={() => (highlightedIndex = flatIndex)}
+									onKeyDown={(event) => {
+										if (event.key === KeyboardKey.ENTER || event.key === KeyboardKey.SPACE) {
+											event.preventDefault();
+											ms.handleSelect(option.id);
+										}
+									}}
+								/>
+							{/snippet}
+
+							<ModelsSelectorList
+								groups={ms.groupedFilteredOptions}
+								{currentModel}
+								activeId={ms.activeId}
+								sectionHeaderClass="my-1.5 px-2 py-2 text-[13px] font-semibold text-muted-foreground/70 select-none"
+								onSelect={ms.handleSelect}
+								onInfoClick={ms.handleInfoClick}
+								renderOption={modelOption}
+							/>
+						</div>
+					</DropdownMenuSearchable>
+				</DropdownMenu.Content>
+			</DropdownMenu.Root>
+		{:else}
+			<button
+				class={[
+					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground`,
+					!ms.isCurrentModelInCache
+						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
+						: forceForegroundText
+							? 'text-foreground'
+							: ms.isHighlightedCurrentModelActive
+								? 'text-foreground'
+								: 'text-foreground',
+					isOpen && 'text-foreground'
+				]}
+				style="max-width: min(calc(100cqw - 6.5rem), 32rem)"
+				onclick={() => ms.handleOpenChange(true)}
+				disabled={disabled || ms.updating}
+			>
+				<Package class="h-3.5 w-3.5" />
+
+				{#if selectedOption}
+					<Tooltip.Root>
+						<Tooltip.Trigger>
+							<!-- prevent another nested button element -->
+							{#snippet child({ props })}
+								<ModelId
+									modelId={selectedOption.model}
+									class="min-w-0 overflow-hidden"
+									hideOrgName={false}
+									{...props}
+								/>
+							{/snippet}
+						</Tooltip.Trigger>
+
+						<Tooltip.Content>
+							<p class="font-mono">{selectedOption.model}</p>
+						</Tooltip.Content>
+					</Tooltip.Root>
+				{/if}
+
+				{#if ms.updating}
+					<Loader2 class="h-3 w-3.5 animate-spin" />
+				{/if}
+			</button>
+		{/if}
+	{/if}
+</div>
+
+{#if ms.showModelDialog}
+	<DialogModelInformation
+		open={ms.showModelDialog}
+		onOpenChange={(v) => ms.setShowModelDialog(v)}
+		modelId={ms.infoModelId}
+	/>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
index 5c36adc14..61a4cf0f6 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorList.svelte
@@ -27,7 +27,7 @@
 	let render = $derived(renderOption ?? defaultOption);
 </script>
 
-{#snippet defaultOption(item: ModelItem, showOrgName: boolean)}
+{#snippet defaultOption(item: ModelItem, hideOrgName: boolean)}
 	{@const { option } = item}
 	{@const isSelected = currentModel === option.model || activeId === option.id}
 	{@const isFav = modelsStore.favoriteModelIds.has(option.model)}
@@ -37,7 +37,7 @@
 		{isSelected}
 		isHighlighted={false}
 		{isFav}
-		{showOrgName}
+		{hideOrgName}
 		{onSelect}
 		{onInfoClick}
 		onMouseEnter={() => {}}
@@ -48,7 +48,7 @@
 {#if groups.loaded.length > 0}
 	<p class={sectionHeaderClass}>Loaded models</p>
 	{#each groups.loaded as item (`loaded-${item.option.id}`)}
-		{@render render(item, true)}
+		{@render render(item, false)}
 	{/each}
 {/if}
 
@@ -66,7 +66,7 @@
 			<p class={orgHeaderClass}>{group.orgName}</p>
 		{/if}
 		{#each group.items as item (item.option.id)}
-			{@render render(item, false)}
+			{@render render(item, true)}
 		{/each}
 	{/each}
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
index 3236130a9..d103d4b67 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorOption.svelte
@@ -9,7 +9,6 @@
 		PowerOff,
 		RotateCw
 	} from '@lucide/svelte';
-	import { cn } from '$lib/components/ui/utils';
 	import { ActionIcon, ModelId } from '$lib/components/app';
 	import type { ModelOption } from '$lib/types/models';
 	import { ServerModelStatus } from '$lib/enums';
@@ -20,7 +19,7 @@
 		isSelected: boolean;
 		isHighlighted: boolean;
 		isFav: boolean;
-		showOrgName?: boolean;
+		hideOrgName?: boolean;
 		onSelect: (modelId: string) => void;
 		onMouseEnter: () => void;
 		onKeyDown: (e: KeyboardEvent) => void;
@@ -32,7 +31,7 @@
 		isSelected,
 		isHighlighted,
 		isFav,
-		showOrgName = false,
+		hideOrgName = false,
 		onSelect,
 		onMouseEnter,
 		onKeyDown,
@@ -54,14 +53,13 @@
 </script>
 
 <div
-	class={cn(
+	class={[
 		'group flex w-full items-center gap-2 rounded-sm p-2 text-left text-sm transition focus:outline-none',
 		'cursor-pointer hover:bg-muted focus:bg-muted',
-		isSelected || isHighlighted
-			? 'bg-accent text-accent-foreground'
-			: 'hover:bg-accent hover:text-accent-foreground',
+		(isSelected || isHighlighted) && 'bg-accent text-accent-foreground',
+		!(isSelected || isHighlighted) && 'hover:bg-accent hover:text-accent-foreground',
 		isLoaded ? 'text-popover-foreground' : 'text-muted-foreground'
-	)}
+	]}
 	role="option"
 	aria-selected={isSelected || isHighlighted}
 	tabindex="0"
@@ -71,7 +69,7 @@
 >
 	<ModelId
 		modelId={option.model}
-		{showOrgName}
+		{hideOrgName}
 		aliases={option.aliases}
 		tags={option.tags}
 		class="flex-1"
@@ -120,15 +118,14 @@
 			<div class="flex w-4 items-center justify-center">
 				<CircleAlert class="h-3.5 w-3.5 text-red-500 group-hover:hidden" />
 
-				<!-- svelte-ignore a11y_no_static_element_interactions -->
-				<!-- svelte-ignore a11y_click_events_have_key_events -->
-				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+				<div class="hidden group-hover:flex">
 					<ActionIcon
 						iconSize="h-2.5 w-2.5"
 						icon={RotateCw}
 						tooltip="Retry loading model"
 						class="h-3 w-3 text-red-500 hover:text-foreground"
 						onclick={() => modelsStore.loadModel(option.model)}
+						stopPropagationOnClick
 					/>
 				</div>
 			</div>
@@ -153,15 +150,14 @@
 			<div class="flex w-4 items-center justify-center">
 				<span class="h-2 w-2 rounded-full bg-green-500 group-hover:hidden"></span>
 
-				<!-- svelte-ignore a11y_no_static_element_interactions -->
-				<!-- svelte-ignore a11y_click_events_have_key_events -->
-				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+				<div class="hidden group-hover:flex">
 					<ActionIcon
 						iconSize="h-2.5 w-2.5"
 						icon={PowerOff}
 						tooltip="Unload model"
 						class="h-3 w-3 text-red-500 hover:text-red-600"
 						onclick={() => modelsStore.unloadModel(option.model)}
+						stopPropagationOnClick
 					/>
 				</div>
 			</div>
@@ -169,15 +165,14 @@
 			<div class="flex w-4 items-center justify-center">
 				<span class="h-2 w-2 rounded-full bg-muted-foreground/50 group-hover:hidden"></span>
 
-				<!-- svelte-ignore a11y_no_static_element_interactions -->
-				<!-- svelte-ignore a11y_click_events_have_key_events -->
-				<div class="hidden group-hover:flex" onclick={(e) => e.stopPropagation()}>
+				<div class="hidden group-hover:flex">
 					<ActionIcon
 						iconSize="h-2.5 w-2.5"
 						icon={Power}
 						tooltip="Load model"
 						class="h-3 w-3"
 						onclick={() => modelsStore.loadModel(option.model)}
+						stopPropagationOnClick
 					/>
 				</div>
 			</div>
diff --git a/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
index fe88c979f..d38ed8c07 100644
--- a/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
+++ b/tools/server/webui/src/lib/components/app/models/ModelsSelectorSheet.svelte
@@ -1,25 +1,14 @@
 <script lang="ts">
-	import { onMount } from 'svelte';
 	import { ChevronDown, Loader2, Package } from '@lucide/svelte';
 	import * as Sheet from '$lib/components/ui/sheet';
-	import { cn } from '$lib/components/ui/utils';
-	import {
-		modelsStore,
-		modelOptions,
-		modelsLoading,
-		modelsUpdating,
-		selectedModelId,
-		singleModelName
-	} from '$lib/stores/models.svelte';
-	import { isRouterMode } from '$lib/stores/server.svelte';
+	import { useModelsSelector } from '$lib/hooks/use-models-selector.svelte';
 	import {
 		DialogModelInformation,
+		ModelId,
 		ModelsSelectorList,
 		SearchInput,
 		TruncatedText
 	} from '$lib/components/app';
-	import type { ModelOption } from '$lib/types/models';
-	import { filterModelOptions, groupModelOptions } from './utils';
 
 	interface Props {
 		class?: string;
@@ -41,201 +30,71 @@
 		useGlobalSelection = false
 	}: Props = $props();
 
-	let options = $derived(
-		modelOptions().filter((option) => {
-			const modelProps = modelsStore.getModelProps(option.model);
-			return modelProps?.webui !== false;
-		})
-	);
-	let loading = $derived(modelsLoading());
-	let updating = $derived(modelsUpdating());
-	let activeId = $derived(selectedModelId());
-	let isRouter = $derived(isRouterMode());
-	let serverModel = $derived(singleModelName());
-
-	let isLoadingModel = $state(false);
-
-	let isHighlightedCurrentModelActive = $derived(
-		!isRouter || !currentModel
-			? false
-			: (() => {
-					const currentOption = options.find((option) => option.model === currentModel);
-
-					return currentOption ? currentOption.id === activeId : false;
-				})()
-	);
-
-	let isCurrentModelInCache = $derived.by(() => {
-		if (!isRouter || !currentModel) return true;
-
-		return options.some((option) => option.model === currentModel);
-	});
-
-	let searchTerm = $state('');
-
-	let filteredOptions = $derived(filterModelOptions(options, searchTerm));
-
-	let groupedFilteredOptions = $derived(
-		groupModelOptions(filteredOptions, modelsStore.favoriteModelIds, (m) =>
-			modelsStore.isModelLoaded(m)
-		)
-	);
-
 	let sheetOpen = $state(false);
-	let showModelDialog = $state(false);
-	let infoModelId = $state<string | null>(null);
 
-	function handleInfoClick(modelName: string) {
-		infoModelId = modelName;
-		showModelDialog = true;
-	}
-
-	onMount(() => {
-		modelsStore.fetch().catch((error) => {
-			console.error('Unable to load models:', error);
-		});
-	});
-
-	function handleOpenChange(open: boolean) {
-		if (loading || updating) return;
-
-		if (isRouter) {
-			if (open) {
-				sheetOpen = true;
-				searchTerm = '';
-
-				modelsStore.fetchRouterModels().then(() => {
-					modelsStore.fetchModalitiesForLoadedModels();
-				});
-			} else {
-				sheetOpen = false;
-				searchTerm = '';
-			}
-		} else {
-			showModelDialog = open;
+	const ms = useModelsSelector({
+		currentModel: () => currentModel,
+		useGlobalSelection: () => useGlobalSelection,
+		onModelChange: () => onModelChange,
+		onOpenChange: (open) => {
+			sheetOpen = open;
 		}
-	}
+	});
 
 	export function open() {
-		handleOpenChange(true);
+		ms.handleOpenChange(true);
 	}
 
 	function handleSheetOpenChange(open: boolean) {
 		if (!open) {
-			handleOpenChange(false);
+			ms.handleOpenChange(false);
 		}
 	}
-
-	async function handleSelect(modelId: string) {
-		const option = options.find((opt) => opt.id === modelId);
-		if (!option) return;
-
-		let shouldCloseMenu = true;
-
-		if (onModelChange) {
-			const result = await onModelChange(option.id, option.model);
-
-			if (result === false) {
-				shouldCloseMenu = false;
-			}
-		} else {
-			await modelsStore.selectModelById(option.id);
-		}
-
-		if (shouldCloseMenu) {
-			handleOpenChange(false);
-
-			requestAnimationFrame(() => {
-				const textarea = document.querySelector<HTMLTextAreaElement>(
-					'[data-slot="chat-form"] textarea'
-				);
-				textarea?.focus();
-			});
-		}
-
-		if (!onModelChange && isRouter && !modelsStore.isModelLoaded(option.model)) {
-			isLoadingModel = true;
-			modelsStore
-				.loadModel(option.model)
-				.catch((error) => console.error('Failed to load model:', error))
-				.finally(() => (isLoadingModel = false));
-		}
-	}
-
-	function getDisplayOption(): ModelOption | undefined {
-		if (!isRouter) {
-			if (serverModel) {
-				return {
-					id: 'current',
-					model: serverModel,
-					name: serverModel.split('/').pop() || serverModel,
-					capabilities: []
-				};
-			}
-
-			return undefined;
-		}
-
-		if (useGlobalSelection && activeId) {
-			const selected = options.find((option) => option.id === activeId);
-			if (selected) return selected;
-		}
-
-		if (currentModel) {
-			if (!isCurrentModelInCache) {
-				return {
-					id: 'not-in-cache',
-					model: currentModel,
-					name: currentModel.split('/').pop() || currentModel,
-					capabilities: []
-				};
-			}
-
-			return options.find((option) => option.model === currentModel);
-		}
-
-		if (activeId) {
-			return options.find((option) => option.id === activeId);
-		}
-
-		return undefined;
-	}
 </script>
 
-<div class={cn('relative inline-flex flex-col items-end gap-1', className)}>
-	{#if loading && options.length === 0 && isRouter}
+<div class={['relative inline-flex flex-col items-end gap-1', className]}>
+	{#if ms.loading && ms.options.length === 0 && ms.isRouter}
 		<div class="flex items-center gap-2 text-xs text-muted-foreground">
 			<Loader2 class="h-3.5 w-3.5 animate-spin" />
 			Loading models…
 		</div>
-	{:else if options.length === 0 && isRouter}
+	{:else if ms.options.length === 0 && ms.isRouter}
 		<p class="text-xs text-muted-foreground">No models available.</p>
 	{:else}
-		{@const selectedOption = getDisplayOption()}
+		{@const selectedOption = ms.getDisplayOption()}
 
-		{#if isRouter}
+		{#if ms.isRouter}
 			<button
 				type="button"
-				class={cn(
-					`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-					!isCurrentModelInCache
+				class={[
+					`inline-grid cursor-pointer grid-cols-[1fr_auto_1fr] items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground`,
+					!ms.isCurrentModelInCache
 						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
 						: forceForegroundText
 							? 'text-foreground'
-							: isHighlightedCurrentModelActive
+							: ms.isHighlightedCurrentModelActive
 								? 'text-foreground'
-								: 'text-muted-foreground',
-					sheetOpen ? 'text-foreground' : ''
-				)}
+								: 'text-foreground',
+					sheetOpen && 'text-foreground'
+				]}
 				style="max-width: min(calc(100cqw - 9rem), 20rem)"
-				disabled={disabled || updating}
-				onclick={() => handleOpenChange(true)}
+				disabled={disabled || ms.updating}
+				onclick={() => ms.handleOpenChange(true)}
 			>
 				<Package class="h-3.5 w-3.5" />
 
-				<TruncatedText text={selectedOption?.model || 'Select model'} class="min-w-0 font-medium" />
+				{#if !selectedOption}
+					<span class="min-w-0 font-medium">Select model</span>
+				{:else}
+					<ModelId
+						class="text-xs"
+						modelId={selectedOption?.model || ''}
+						hideQuantization
+						hideOrgName
+					/>
+				{/if}
 
-				{#if updating || isLoadingModel}
+				{#if ms.updating || ms.isLoadingModel}
 					<Loader2 class="h-3 w-3.5 animate-spin" />
 				{:else}
 					<ChevronDown class="h-3 w-3.5" />
@@ -254,11 +113,15 @@
 
 					<div class="flex flex-col gap-1 pb-4">
 						<div class="mb-3 px-4">
-							<SearchInput placeholder="Search models..." bind:value={searchTerm} />
+							<SearchInput
+								placeholder="Search models..."
+								value={ms.searchTerm}
+								onInput={(v) => ms.setSearchTerm(v)}
+							/>
 						</div>
 
 						<div class="max-h-[60vh] overflow-y-auto px-2">
-							{#if !isCurrentModelInCache && currentModel}
+							{#if !ms.isCurrentModelInCache && currentModel}
 								<button
 									type="button"
 									class="flex w-full cursor-not-allowed items-center rounded-md bg-red-400/10 px-3 py-2.5 text-left text-sm text-red-400"
@@ -272,18 +135,18 @@
 								<div class="my-1 h-px bg-border"></div>
 							{/if}
 
-							{#if filteredOptions.length === 0}
+							{#if ms.filteredOptions.length === 0}
 								<p class="px-3 py-3 text-center text-sm text-muted-foreground">No models found.</p>
 							{/if}
 
 							<ModelsSelectorList
-								groups={groupedFilteredOptions}
+								groups={ms.groupedFilteredOptions}
 								{currentModel}
-								{activeId}
+								activeId={ms.activeId}
 								sectionHeaderClass="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none"
 								orgHeaderClass="px-2 py-2 text-xs font-semibold text-muted-foreground/60 select-none [&:not(:first-child)]:mt-2"
-								onSelect={handleSelect}
-								onInfoClick={handleInfoClick}
+								onSelect={ms.handleSelect}
+								onInfoClick={ms.handleInfoClick}
 							/>
 						</div>
 					</div>
@@ -291,25 +154,25 @@
 			</Sheet.Root>
 		{:else}
 			<button
-				class={cn(
-					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-muted-foreground/10 px-1.5 py-1 text-xs transition hover:text-foreground focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60`,
-					!isCurrentModelInCache
+				class={[
+					`inline-flex cursor-pointer items-center gap-1.5 rounded-sm bg-background px-1.5 py-1 text-xs shadow-sm transition hover:bg-muted-foreground/20 focus:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-60 dark:bg-muted-foreground/15 dark:text-secondary-foreground`,
+					!ms.isCurrentModelInCache
 						? 'bg-red-400/10 !text-red-400 hover:bg-red-400/20 hover:text-red-400'
 						: forceForegroundText
 							? 'text-foreground'
-							: isHighlightedCurrentModelActive
+							: ms.isHighlightedCurrentModelActive
 								? 'text-foreground'
-								: 'text-muted-foreground'
-				)}
+								: 'text-foreground'
+				]}
 				style="max-width: min(calc(100cqw - 6.5rem), 32rem)"
-				onclick={() => handleOpenChange(true)}
-				disabled={disabled || updating}
+				onclick={() => ms.handleOpenChange(true)}
+				disabled={disabled || ms.updating}
 			>
 				<Package class="h-3.5 w-3.5" />
 
-				<TruncatedText text={selectedOption?.model || ''} class="min-w-0 font-medium" />
+				<TruncatedText text={selectedOption?.model || ''} class="font-medium" />
 
-				{#if updating}
+				{#if ms.updating}
 					<Loader2 class="h-3 w-3.5 animate-spin" />
 				{/if}
 			</button>
@@ -317,6 +180,10 @@
 	{/if}
 </div>
 
-{#if showModelDialog}
-	<DialogModelInformation bind:open={showModelDialog} modelId={infoModelId} />
+{#if ms.showModelDialog}
+	<DialogModelInformation
+		open={ms.showModelDialog}
+		onOpenChange={(v) => ms.setShowModelDialog(v)}
+		modelId={ms.infoModelId}
+	/>
 {/if}
diff --git a/tools/server/webui/src/lib/components/app/models/index.ts b/tools/server/webui/src/lib/components/app/models/index.ts
index b4bcdf430..a6ba6817f 100644
--- a/tools/server/webui/src/lib/components/app/models/index.ts
+++ b/tools/server/webui/src/lib/components/app/models/index.ts
@@ -11,7 +11,7 @@
  */
 
 /**
- * **ModelsSelector** - Model selection dropdown
+ * **ModelsSelectorDropdown** - Model selection dropdown (desktop)
  *
  * Dropdown for selecting AI models with status indicators,
  * search, and model information display. Adapts UI based on server mode.
@@ -35,20 +35,20 @@
  *
  * @example
  * ```svelte
- * <ModelsSelector
+ * <ModelsSelectorDropdown
  *   currentModel={conversation.modelId}
  *   onModelChange={(id, name) => updateModel(id)}
  *   useGlobalSelection
  * />
  * ```
  */
-export { default as ModelsSelector } from './ModelsSelector.svelte';
+export { default as ModelsSelectorDropdown } from './ModelsSelectorDropdown.svelte';
 
 /**
  * **ModelsSelectorList** - Grouped model options list
  *
  * Renders grouped model options (loaded, favorites, available) with section
- * headers and org subgroups. Shared between ModelsSelector and ModelsSelectorSheet
+ * headers and org subgroups. Shared between ModelsSelectorDropdown and ModelsSelectorSheet
  * to avoid template duplication.
  *
  * Accepts an optional `renderOption` snippet to customize how each option is
@@ -68,8 +68,8 @@ export { default as ModelsSelectorOption } from './ModelsSelectorOption.svelte';
 /**
  * **ModelsSelectorSheet** - Mobile model selection sheet
  *
- * Bottom sheet variant of ModelsSelector optimized for touch interaction
- * on mobile devices. Same functionality as ModelsSelector but uses Sheet UI
+ * Bottom sheet variant of ModelsSelectorDropdown optimized for touch interaction
+ * on mobile devices. Same functionality as ModelsSelectorDropdown but uses Sheet UI
  * instead of DropdownMenu.
  */
 export { default as ModelsSelectorSheet } from './ModelsSelectorSheet.svelte';
diff --git a/tools/server/webui/src/lib/components/app/navigation/DesktopIconStrip.svelte b/tools/server/webui/src/lib/components/app/navigation/DesktopIconStrip.svelte
new file mode 100644
index 000000000..e92b9528a
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/navigation/DesktopIconStrip.svelte
@@ -0,0 +1,84 @@
+<script lang="ts">
+	import { goto } from '$app/navigation';
+	import { page } from '$app/state';
+	import { ActionIcon } from '$lib/components/app';
+	import {
+		ICON_STRIP_TRANSITION_DURATION,
+		ICON_STRIP_TRANSITION_DELAY_MULTIPLIER,
+		SIDEBAR_ACTIONS_ITEMS
+	} from '$lib/constants';
+	import { TooltipSide } from '$lib/enums';
+	import { fade } from 'svelte/transition';
+	import { circIn } from 'svelte/easing';
+	import { onMount } from 'svelte';
+	import { useKeyboardShortcuts } from '$lib/hooks/use-keyboard-shortcuts.svelte';
+
+	interface Props {
+		sidebarOpen: boolean;
+		onSearchClick: () => void;
+	}
+
+	let { sidebarOpen = false, onSearchClick }: Props = $props();
+
+	const { handleKeydown } = useKeyboardShortcuts({ activateSearchMode: () => onSearchClick() });
+
+	let initialized = $state(false);
+	let showIcons = $derived(!sidebarOpen);
+
+	showIcons = false;
+
+	onMount(() => {
+		showIcons = !sidebarOpen;
+
+		setTimeout(() => {
+			initialized = true;
+		}, ICON_STRIP_TRANSITION_DELAY_MULTIPLIER * SIDEBAR_ACTIONS_ITEMS.length);
+	});
+</script>
+
+<svelte:window onkeydown={handleKeydown} />
+
+<div
+	class="hidden shrink-0 transition-[width] duration-200 ease-linear md:block {sidebarOpen
+		? 'w-0'
+		: 'w-[calc(var(--sidebar-width-icon)+1.5rem)]'}"
+></div>
+<aside
+	class="fixed top-0 bottom-0 left-0 z-10 hidden w-[calc(var(--sidebar-width-icon)+1.5rem)] flex-col items-center justify-between py-3 transition-opacity duration-200 ease-linear md:flex {sidebarOpen
+		? 'pointer-events-none opacity-0'
+		: 'opacity-100'}"
+>
+	<div class="mt-12 flex flex-col items-center gap-1">
+		{#each SIDEBAR_ACTIONS_ITEMS as item, i (item.tooltip)}
+			{@const onclick = item.route ? () => goto(item.route!) : onSearchClick}
+			{@const isActive = item.activeRouteId
+				? page.route.id === item.activeRouteId
+				: item.activeRoutePrefix
+					? !!page.route.id?.startsWith(item.activeRoutePrefix)
+					: false}
+			{#if showIcons}
+				<div
+					in:fade={{
+						duration: ICON_STRIP_TRANSITION_DURATION,
+						delay: !initialized
+							? ICON_STRIP_TRANSITION_DELAY_MULTIPLIER + i * ICON_STRIP_TRANSITION_DELAY_MULTIPLIER
+							: 0,
+						easing: circIn
+					}}
+				>
+					<ActionIcon
+						icon={item.icon}
+						tooltip={item.tooltip}
+						tooltipSide={TooltipSide.RIGHT}
+						size="lg"
+						iconSize="h-4 w-4"
+						class="h-9 w-9 rounded-full hover:bg-accent! {isActive
+							? 'bg-accent text-accent-foreground'
+							: ''}"
+						{onclick}
+					/>
+				</div>
+			{/if}
+		{/each}
+	</div>
+</aside>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigation.svelte
similarity index 57%
rename from tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
rename to tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigation.svelte
index 751406b3e..f1d039142 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebar.svelte
+++ b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigation.svelte
@@ -1,8 +1,11 @@
 <script lang="ts">
 	import { goto } from '$app/navigation';
 	import { page } from '$app/state';
-	import { Trash2, Pencil } from '@lucide/svelte';
-	import { ChatSidebarConversationItem, DialogConfirmation } from '$lib/components/app';
+	import { Trash2, Pencil, X } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import { DialogConfirmation } from '$lib/components/app';
+	import SidebarNavigationActions from './SidebarNavigationActions.svelte';
+	import SidebarNavigationConversationItem from './SidebarNavigationConversationItem.svelte';
 	import { Checkbox } from '$lib/components/ui/checkbox';
 	import Label from '$lib/components/ui/label/label.svelte';
 	import ScrollArea from '$lib/components/ui/scroll-area/scroll-area.svelte';
@@ -15,7 +18,7 @@
 	} from '$lib/stores/conversations.svelte';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { getPreviewText } from '$lib/utils';
-	import ChatSidebarActions from './ChatSidebarActions.svelte';
+	import { APP_NAME } from '$lib/constants';
 
 	const sidebar = Sidebar.useSidebar();
 
@@ -32,10 +35,14 @@
 	);
 
 	let filteredConversations = $derived.by(() => {
-		if (searchQuery.trim().length > 0) {
-			return conversations().filter((conversation: { name: string }) =>
-				conversation.name.toLowerCase().includes(searchQuery.toLowerCase())
-			);
+		if (isSearchModeActive) {
+			if (searchQuery.trim().length > 0) {
+				return conversations().filter((conversation: { name: string }) =>
+					conversation.name.toLowerCase().includes(searchQuery.toLowerCase())
+				);
+			}
+
+			return [];
 		}
 
 		return conversations();
@@ -107,10 +114,31 @@
 		}
 	}
 
+	let chatSidebarActions: { activateSearch?: () => void } | undefined = $state();
+	let openedForSearch = $state(false);
+
 	export function activateSearchMode() {
-		isSearchModeActive = true;
+		if (!sidebar.open) {
+			openedForSearch = true;
+		}
+		chatSidebarActions?.activateSearch?.();
+	}
+
+	function handleSearchDeactivated() {
+		if (openedForSearch) {
+			openedForSearch = false;
+			sidebar.toggle();
+		}
 	}
 
+	$effect(() => {
+		if (!sidebar.open) {
+			isSearchModeActive = false;
+			searchQuery = '';
+			openedForSearch = false;
+		}
+	});
+
 	export function editActiveConversation() {
 		if (currentChatId) {
 			const activeConversation = filteredConversations.find((conv) => conv.id === currentChatId);
@@ -130,6 +158,7 @@
 			searchQuery = '';
 		}
 
+		handleMobileSidebarItemClick();
 		await goto(`#/chat/${id}`);
 	}
 
@@ -138,60 +167,79 @@
 	}
 </script>
 
-<ScrollArea class="h-[100vh]">
-	<Sidebar.Header class=" top-0 z-10 gap-4 bg-sidebar/50 p-4 pb-2 backdrop-blur-lg md:sticky">
-		<a href="#/" onclick={handleMobileSidebarItemClick}>
-			<h1 class="inline-flex items-center gap-1 px-2 text-xl font-semibold">llama.cpp</h1>
-		</a>
-
-		<ChatSidebarActions {handleMobileSidebarItemClick} bind:isSearchModeActive bind:searchQuery />
-	</Sidebar.Header>
-
-	<Sidebar.Group class="mt-2 space-y-2 p-0 px-4">
-		{#if (filteredConversations.length > 0 && isSearchModeActive) || !isSearchModeActive}
-			<Sidebar.GroupLabel>
-				{isSearchModeActive ? 'Search results' : 'Conversations'}
-			</Sidebar.GroupLabel>
-		{/if}
-
-		<Sidebar.GroupContent>
-			<Sidebar.Menu>
-				{#each conversationTree as { conversation, depth } (conversation.id)}
-					<Sidebar.MenuItem class="mb-1 p-0">
-						<ChatSidebarConversationItem
-							conversation={{
-								id: conversation.id,
-								name: conversation.name,
-								lastModified: conversation.lastModified,
-								currNode: conversation.currNode,
-								forkedFromConversationId: conversation.forkedFromConversationId
-							}}
-							{depth}
-							{handleMobileSidebarItemClick}
-							isActive={currentChatId === conversation.id}
-							onSelect={selectConversation}
-							onEdit={handleEditConversation}
-							onDelete={handleDeleteConversation}
-							onStop={handleStopGeneration}
-						/>
-					</Sidebar.MenuItem>
-				{/each}
-
-				{#if conversationTree.length === 0}
-					<div class="px-2 py-4 text-center">
-						<p class="mb-4 p-4 text-sm text-muted-foreground">
-							{searchQuery.length > 0
-								? 'No results found'
-								: isSearchModeActive
-									? 'Start typing to see results'
-									: 'No conversations yet'}
-						</p>
-					</div>
-				{/if}
-			</Sidebar.Menu>
-		</Sidebar.GroupContent>
-	</Sidebar.Group>
-</ScrollArea>
+<div class="flex h-full flex-col">
+	<ScrollArea class="h-full flex-1">
+		<Sidebar.Header class="gap-4 bg-sidebar/50 p-3 backdrop-blur-lg md:pt-4 md:pb-2">
+			<div class="flex items-center justify-between">
+				<a href="#/" onclick={handleMobileSidebarItemClick}>
+					<h1 class="inline-flex items-center gap-1 px-2 text-xl font-semibold">{APP_NAME}</h1>
+				</a>
+
+				<Button
+					class="rounded-full md:hidden"
+					variant="ghost"
+					size="icon"
+					onclick={() => sidebar.toggle()}
+				>
+					<X class="h-4 w-4" />
+					<span class="sr-only">Close sidebar</span>
+				</Button>
+			</div>
+
+			<SidebarNavigationActions
+				bind:this={chatSidebarActions}
+				{handleMobileSidebarItemClick}
+				bind:isSearchModeActive
+				bind:searchQuery
+				onSearchDeactivated={handleSearchDeactivated}
+			/>
+		</Sidebar.Header>
+
+		<Sidebar.Group class="mt-2 h-[calc(100vh-21rem)] space-y-2 p-0 px-3">
+			{#if (filteredConversations.length > 0 && isSearchModeActive) || !isSearchModeActive}
+				<Sidebar.GroupLabel>
+					{isSearchModeActive ? 'Search results' : 'Recent conversations'}
+				</Sidebar.GroupLabel>
+			{/if}
+
+			<Sidebar.GroupContent>
+				<Sidebar.Menu>
+					{#each conversationTree as { conversation, depth } (conversation.id)}
+						<Sidebar.MenuItem class="mb-1 p-0">
+							<SidebarNavigationConversationItem
+								conversation={{
+									id: conversation.id,
+									name: conversation.name,
+									lastModified: conversation.lastModified,
+									currNode: conversation.currNode,
+									forkedFromConversationId: conversation.forkedFromConversationId
+								}}
+								{depth}
+								isActive={currentChatId === conversation.id}
+								onSelect={selectConversation}
+								onEdit={handleEditConversation}
+								onDelete={handleDeleteConversation}
+								onStop={handleStopGeneration}
+							/>
+						</Sidebar.MenuItem>
+					{/each}
+
+					{#if conversationTree.length === 0}
+						<div class="px-2 py-4 text-center">
+							<p class="mb-4 p-4 text-sm text-muted-foreground">
+								{searchQuery.length > 0
+									? 'No results found'
+									: isSearchModeActive
+										? 'Start typing to see results'
+										: 'No conversations yet'}
+							</p>
+						</div>
+					{/if}
+				</Sidebar.Menu>
+			</Sidebar.GroupContent>
+		</Sidebar.Group>
+	</ScrollArea>
+</div>
 
 <DialogConfirmation
 	bind:open={showDeleteDialog}
@@ -230,10 +278,10 @@
 		showEditDialog = false;
 		selectedConversation = null;
 	}}
-	onKeydown={(e) => {
-		if (e.key === 'Enter') {
-			e.preventDefault();
-			e.stopImmediatePropagation();
+	onKeydown={(event) => {
+		if (event.key === 'Enter') {
+			event.preventDefault();
+			event.stopImmediatePropagation();
 			handleConfirmEdit();
 		}
 	}}
diff --git a/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationActions.svelte b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationActions.svelte
new file mode 100644
index 000000000..f0d63970e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationActions.svelte
@@ -0,0 +1,96 @@
+<script lang="ts">
+	import { KeyboardShortcutInfo } from '$lib/components/app';
+	import { Button } from '$lib/components/ui/button';
+	import type { Component } from 'svelte';
+	import { SearchInput } from '$lib/components/app';
+	import { page } from '$app/state';
+	import { SIDEBAR_ACTIONS_ITEMS } from '$lib/constants/ui';
+
+	interface Props {
+		handleMobileSidebarItemClick: () => void;
+		isSearchModeActive: boolean;
+		searchQuery: string;
+		isCancelAlwaysVisible?: boolean;
+		onSearchDeactivated?: () => void;
+	}
+
+	let {
+		handleMobileSidebarItemClick,
+		isSearchModeActive = $bindable(),
+		searchQuery = $bindable(),
+		isCancelAlwaysVisible = false,
+		onSearchDeactivated
+	}: Props = $props();
+
+	let searchInputRef = $state<HTMLInputElement | null>(null);
+
+	function handleSearchModeDeactivate() {
+		isSearchModeActive = false;
+		searchQuery = '';
+		onSearchDeactivated?.();
+	}
+
+	export function activateSearch() {
+		isSearchModeActive = true;
+		// Focus after Svelte renders the input
+		queueMicrotask(() => searchInputRef?.focus());
+	}
+</script>
+
+{#snippet itemIcon(IconComponent: Component)}
+	<IconComponent class="h-4 w-4" />
+{/snippet}
+
+<div class="my-1 space-y-1">
+	{#if isSearchModeActive}
+		<SearchInput
+			bind:value={searchQuery}
+			bind:ref={searchInputRef}
+			onClose={handleSearchModeDeactivate}
+			onKeyDown={(e) => e.key === 'Escape' && handleSearchModeDeactivate()}
+			placeholder="Search conversations..."
+			{isCancelAlwaysVisible}
+		/>
+	{:else}
+		{#each SIDEBAR_ACTIONS_ITEMS as item (item.route)}
+			{#if !item.route}
+				<Button
+					class="w-full justify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100"
+					onclick={activateSearch}
+					variant="ghost"
+				>
+					<div class="flex items-center gap-2">
+						{@render itemIcon(item.icon)}
+
+						{item.tooltip}
+					</div>
+
+					{#if item.keys}
+						<KeyboardShortcutInfo keys={item.keys} />
+					{/if}
+				</Button>
+			{:else}
+				<Button
+					class="w-full justify-between px-2 backdrop-blur-none! hover:[&>kbd]:opacity-100 {(item.activeRouteId &&
+						page.route.id === item.activeRouteId) ||
+					(item.activeRoutePrefix && page.route.id?.startsWith(item.activeRoutePrefix))
+						? 'bg-accent text-accent-foreground'
+						: ''}"
+					href={item.route}
+					onclick={handleMobileSidebarItemClick}
+					variant="ghost"
+				>
+					<div class="flex items-center gap-2">
+						{@render itemIcon(item.icon)}
+
+						{item.tooltip}
+					</div>
+
+					{#if item.keys}
+						<KeyboardShortcutInfo keys={item.keys} />
+					{/if}
+				</Button>
+			{/if}
+		{/each}
+	{/if}
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationConversationItem.svelte
similarity index 94%
rename from tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
rename to tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationConversationItem.svelte
index e22cb4f82..8211870d9 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarConversationItem.svelte
+++ b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationConversationItem.svelte
@@ -19,7 +19,6 @@
 		isActive?: boolean;
 		depth?: number;
 		conversation: DatabaseConversation;
-		handleMobileSidebarItemClick?: () => void;
 		onDelete?: (id: string) => void;
 		onEdit?: (id: string) => void;
 		onSelect?: (id: string) => void;
@@ -28,7 +27,6 @@
 
 	let {
 		conversation,
-		handleMobileSidebarItemClick,
 		onDelete,
 		onEdit,
 		onSelect,
@@ -150,9 +148,7 @@
 			</Tooltip.Root>
 		{/if}
 
-		<!-- svelte-ignore a11y_click_events_have_key_events -->
-		<!-- svelte-ignore a11y_no_static_element_interactions -->
-		<span class="truncate text-sm font-medium" onclick={handleMobileSidebarItemClick}>
+		<span class="truncate text-sm font-medium">
 			{conversation.name}
 		</span>
 	</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarSearch.svelte b/tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationSearch.svelte
similarity index 100%
rename from tools/server/webui/src/lib/components/app/chat/ChatSidebar/ChatSidebarSearch.svelte
rename to tools/server/webui/src/lib/components/app/navigation/SidebarNavigation/SidebarNavigationSearch.svelte
diff --git a/tools/server/webui/src/lib/components/app/navigation/index.ts b/tools/server/webui/src/lib/components/app/navigation/index.ts
index 051491b86..d4ca91459 100644
--- a/tools/server/webui/src/lib/components/app/navigation/index.ts
+++ b/tools/server/webui/src/lib/components/app/navigation/index.ts
@@ -63,3 +63,76 @@ export { default as DropdownMenuSearchable } from './DropdownMenuSearchable.svel
  * ```
  */
 export { default as DropdownMenuActions } from './DropdownMenuActions.svelte';
+
+/**
+ * **DesktopIconStrip** - Fixed icon strip for desktop sidebar
+ *
+ * Vertical icon strip shown on desktop when the sidebar is collapsed.
+ * Contains navigation shortcuts for new chat, search, MCP, import/export, and settings.
+ */
+export { default as DesktopIconStrip } from './DesktopIconStrip.svelte';
+
+/**
+ * **SidebarNavigation** - Sidebar with actions menu and conversation list
+ *
+ * Collapsible sidebar displaying conversation history with search and
+ * management actions. Integrates with ShadCN sidebar component for
+ * consistent styling and mobile responsiveness.
+ *
+ * **Architecture:**
+ * - Uses ShadCN Sidebar.* components for structure
+ * - Fetches conversations from conversationsStore
+ * - Manages search state and filtered results locally
+ * - Handles conversation CRUD operations via conversationsStore
+ *
+ * **Navigation:**
+ * - Click conversation to navigate to `/chat/[id]`
+ * - New chat button navigates to `/` (root)
+ * - Active conversation highlighted based on route params
+ *
+ * **Conversation Management:**
+ * - Right-click or menu button for context menu
+ * - Rename: Opens inline edit dialog
+ * - Delete: Shows confirmation with conversation preview
+ * - Delete All: Removes all conversations with confirmation
+ *
+ * **Features:**
+ * - Search/filter conversations by title
+ * - Conversation list with message previews (first message truncated)
+ * - Active conversation highlighting
+ * - Mobile-responsive collapse/expand via ShadCN sidebar
+ * - New chat button in header
+ * - Settings button opens DialogChatSettings
+ *
+ * **Exported API:**
+ * - `activateSearchMode()` - Focus search input programmatically
+ * - `editActiveConversation()` - Open rename dialog for current conversation
+ *
+ * @example
+ * ```svelte
+ * <SidebarNavigation bind:this={sidebarRef} />
+ * ```
+ */
+export { default as SidebarNavigation } from './SidebarNavigation/SidebarNavigation.svelte';
+
+/**
+ * Action buttons for sidebar header. Contains new chat button, settings button,
+ * and delete all conversations button. Manages dialog states for settings and
+ * delete confirmation.
+ */
+export { default as SidebarNavigationActions } from './SidebarNavigation/SidebarNavigationActions.svelte';
+
+/**
+ * Single conversation item in sidebar. Displays conversation title (truncated),
+ * last message preview, and timestamp. Shows context menu on right-click with
+ * rename and delete options. Highlights when active (matches current route).
+ * Handles click to navigate and keyboard accessibility.
+ */
+export { default as SidebarNavigationConversationItem } from './SidebarNavigation/SidebarNavigationConversationItem.svelte';
+
+/**
+ * Search input for filtering conversations in sidebar. Filters conversation
+ * list by title as user types. Shows clear button when query is not empty.
+ * Integrated into sidebar header with proper styling.
+ */
+export { default as SidebarNavigationSearch } from './SidebarNavigation/SidebarNavigationSearch.svelte';
diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChat.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChat.svelte
new file mode 100644
index 000000000..08dbe467f
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChat.svelte
@@ -0,0 +1,155 @@
+<script lang="ts">
+	import SettingsChatFooter from './SettingsChatFooter.svelte';
+	import SettingsChatFields from './SettingsChatFields.svelte';
+	import SettingsChatToolsTab from './SettingsChatToolsTab.svelte';
+	import SettingsChatImportExportTab from './SettingsChatImportExportTab.svelte';
+	import {
+		SettingsChatDesktopSidebar,
+		SettingsChatMobileHeader
+	} from '$lib/components/app/settings';
+	import { config, settingsStore } from '$lib/stores/settings.svelte';
+	import {
+		NUMERIC_FIELDS,
+		POSITIVE_INTEGER_FIELDS,
+		SETTINGS_CHAT_SECTIONS,
+		SETTINGS_SECTION_TITLES,
+		type SettingsSection
+	} from '$lib/constants';
+	import { setMode } from 'mode-watcher';
+	import { ColorMode } from '$lib/enums/ui';
+	import { fade } from 'svelte/transition';
+	import { goto } from '$app/navigation';
+	import { page } from '$app/state';
+	import { setChatSettingsConfigContext } from '$lib/contexts';
+	import { settingsReferrer } from '$lib/stores/settings-referrer.svelte';
+
+	interface Props {
+		initialSection?: string;
+		getSectionHref?: (section: SettingsSection) => string;
+	}
+
+	let { initialSection, getSectionHref }: Props = $props();
+
+	let activeSlug = $derived(
+		initialSection ?? (page.params as Record<string, string | undefined>).section ?? 'general'
+	);
+	let currentSection = $derived(
+		SETTINGS_CHAT_SECTIONS.find((section) => section.slug === activeSlug) ||
+			SETTINGS_CHAT_SECTIONS[0]
+	);
+	let localConfig: SettingsConfigType = $state({ ...config() });
+
+	let mobileHeader: { updateCarousel: () => void } | undefined;
+
+	function handleThemeChange(newTheme: string) {
+		localConfig.theme = newTheme;
+		setMode(newTheme as ColorMode);
+	}
+
+	function handleConfigChange(key: string, value: string | boolean) {
+		localConfig[key] = value;
+	}
+
+	function handleReset() {
+		localConfig = { ...config() };
+		setMode(localConfig.theme as ColorMode);
+		mobileHeader?.updateCarousel();
+	}
+
+	function handleSave() {
+		if (localConfig.custom && typeof localConfig.custom === 'string' && localConfig.custom.trim()) {
+			try {
+				JSON.parse(localConfig.custom);
+			} catch (error) {
+				alert('Invalid JSON in custom parameters. Please check the format and try again.');
+				console.error(error);
+				return;
+			}
+		}
+
+		const processedConfig = { ...localConfig };
+
+		for (const field of NUMERIC_FIELDS) {
+			if (processedConfig[field] !== undefined && processedConfig[field] !== '') {
+				const numValue = Number(processedConfig[field]);
+				if (!isNaN(numValue)) {
+					if ((POSITIVE_INTEGER_FIELDS as readonly string[]).includes(field)) {
+						processedConfig[field] = Math.max(1, Math.round(numValue));
+					} else {
+						processedConfig[field] = numValue;
+					}
+				} else {
+					alert(`Invalid numeric value for ${field}. Please enter a valid number.`);
+					return;
+				}
+			}
+		}
+
+		settingsStore.updateMultipleConfig(processedConfig);
+		goto(settingsReferrer.url);
+	}
+
+	export function reset() {
+		localConfig = { ...config() };
+	}
+
+	setChatSettingsConfigContext({
+		get localConfig() {
+			return localConfig;
+		},
+		handleConfigChange,
+		handleThemeChange
+	});
+</script>
+
+<div
+	class="mx-auto flex h-full max-h-[100dvh] w-full flex-col overflow-y-auto md:pl-8"
+	in:fade={{ duration: 150 }}
+>
+	<div class="flex flex-1 flex-col gap-4 md:flex-row">
+		<SettingsChatDesktopSidebar
+			sections={SETTINGS_CHAT_SECTIONS}
+			isActive={(section: SettingsSection) => section.slug === activeSlug}
+			getHref={getSectionHref ?? ((section: SettingsSection) => `#/settings/chat/${section.slug}`)}
+		/>
+
+		<SettingsChatMobileHeader
+			sections={SETTINGS_CHAT_SECTIONS}
+			isActive={(section: SettingsSection) => section.slug === activeSlug}
+			getHref={getSectionHref ?? ((section: SettingsSection) => `#/settings/chat/${section.slug}`)}
+			bind:this={mobileHeader}
+		/>
+
+		<div class="mx-auto max-w-3xl flex-1">
+			<div class="space-y-6 p-4 md:p-6 md:pt-28">
+				<div class="grid">
+					<div class="mb-6 flex items-center gap-2 border-b border-border/30 pb-6 md:flex">
+						<currentSection.icon class="h-5 w-5" />
+						<h3 class="text-lg font-semibold">{currentSection.title}</h3>
+					</div>
+
+					{#if currentSection.title === SETTINGS_SECTION_TITLES.TOOLS}
+						<SettingsChatToolsTab />
+					{:else if currentSection.title === SETTINGS_SECTION_TITLES.IMPORT_EXPORT}
+						<SettingsChatImportExportTab />
+					{:else if currentSection.fields}
+						<div class="space-y-6">
+							<SettingsChatFields
+								fields={currentSection.fields}
+								{localConfig}
+								onConfigChange={handleConfigChange}
+								onThemeChange={handleThemeChange}
+							/>
+						</div>
+					{/if}
+				</div>
+
+				<div class="mt-8 border-t border-border/30 pt-6">
+					<p class="text-xs text-muted-foreground">Settings are saved in browser's localStorage</p>
+				</div>
+			</div>
+
+			<SettingsChatFooter onReset={handleReset} onSave={handleSave} />
+		</div>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFields.svelte
similarity index 96%
rename from tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFields.svelte
index 42191be89..1ad525b75 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFields.svelte
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFields.svelte
@@ -11,7 +11,7 @@
 	import { serverStore } from '$lib/stores/server.svelte';
 	import { modelsStore, selectedModelName } from '$lib/stores/models.svelte';
 	import { normalizeFloatingPoint } from '$lib/utils/precision';
-	import { ChatSettingsParameterSourceIndicator } from '$lib/components/app';
+	import SettingsChatParameterSourceIndicator from './SettingsChatParameterSourceIndicator.svelte';
 	import type { Component } from 'svelte';
 
 	interface Props {
@@ -66,11 +66,11 @@
 					{/if}
 				</Label>
 				{#if isCustomRealTime}
-					<ChatSettingsParameterSourceIndicator />
+					<SettingsChatParameterSourceIndicator />
 				{/if}
 			</div>
 
-			<div class="relative w-full md:max-w-md">
+			<div class="relative w-full">
 				<Input
 					id={field.key}
 					value={currentValue}
@@ -117,7 +117,7 @@
 				value={String(localConfig[field.key] ?? '')}
 				onchange={(e) => onConfigChange(field.key, e.currentTarget.value)}
 				placeholder=""
-				class="min-h-[10rem] w-full md:max-w-2xl"
+				class="min-h-[10rem] w-full md:max-w-3xl"
 			/>
 
 			{#if field.help || SETTING_CONFIG_INFO[field.key]}
@@ -161,7 +161,7 @@
 					{/if}
 				</Label>
 				{#if isCustomRealTime}
-					<ChatSettingsParameterSourceIndicator />
+					<SettingsChatParameterSourceIndicator />
 				{/if}
 			</div>
 
@@ -176,7 +176,7 @@
 					}
 				}}
 			>
-				<div class="relative w-full md:w-auto md:max-w-md">
+				<div class="relative w-full md:w-auto">
 					<Select.Trigger class="w-full">
 						<div class="flex items-center gap-2">
 							{#if selectedOption?.icon}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFooter.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFooter.svelte
similarity index 95%
rename from tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFooter.svelte
rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFooter.svelte
index 1f7eb4e75..afc37377d 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsFooter.svelte
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatFooter.svelte
@@ -29,7 +29,7 @@
 	}
 </script>
 
-<div class="flex justify-between border-t border-border/30 p-6">
+<div class="sticky bottom-0 mx-auto mt-4 flex w-full justify-between p-6">
 	<div class="flex gap-2">
 		<Button variant="outline" onclick={handleResetClick}>
 			<RotateCcw class="h-3 w-3" />
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte
similarity index 62%
rename from tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte
rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte
index 537c839f5..f84c3a050 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsImportExportTab.svelte
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatImportExportTab.svelte
@@ -1,11 +1,21 @@
 <script lang="ts">
+	import type { Component } from 'svelte';
 	import { Download, Upload, Trash2 } from '@lucide/svelte';
-	import { Button } from '$lib/components/ui/button';
+	import { Button, type ButtonVariant } from '$lib/components/ui/button';
 	import { DialogConversationSelection, DialogConfirmation } from '$lib/components/app';
 	import { createMessageCountMap } from '$lib/utils';
-	import { ISO_DATE_TIME_SEPARATOR } from '$lib/constants';
 	import { conversationsStore, conversations } from '$lib/stores/conversations.svelte';
 	import { toast } from 'svelte-sonner';
+	import { fade } from 'svelte/transition';
+	import { ConversationSelectionMode, HtmlInputType, FileExtensionText } from '$lib/enums';
+
+	interface SectionOpts {
+		wrapperClass?: string;
+		titleClass?: string;
+		buttonVariant?: ButtonVariant;
+		buttonClass?: string;
+		summary?: { show: boolean; verb: string; items: DatabaseConversation[] };
+	}
 
 	let exportedConversations = $state<DatabaseConversation[]>([]);
 	let importedConversations = $state<DatabaseConversation[]>([]);
@@ -56,10 +66,7 @@
 				})
 			);
 
-			conversationsStore.downloadConversationFile(
-				allData,
-				`${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}_conversations.json`
-			);
+			conversationsStore.downloadConversationFile(allData);
 
 			exportedConversations = selectedConversations;
 			showExportSummary = true;
@@ -75,8 +82,8 @@
 		try {
 			const input = document.createElement('input');
 
-			input.type = 'file';
-			input.accept = '.json';
+			input.type = HtmlInputType.FILE;
+			input.accept = FileExtensionText.JSON;
 
 			input.onchange = async (e) => {
 				const file = (e.target as HTMLInputElement)?.files?.[0];
@@ -174,114 +181,98 @@
 	}
 </script>
 
-<div class="space-y-6">
-	<div class="space-y-4">
-		<div class="grid">
-			<h4 class="mb-2 text-sm font-medium">Export Conversations</h4>
-
-			<p class="mb-4 text-sm text-muted-foreground">
-				Download all your conversations as a JSON file. This includes all messages, attachments, and
-				conversation history.
-			</p>
-
-			<Button
-				class="w-full justify-start justify-self-start md:w-auto"
-				onclick={handleExportClick}
-				variant="outline"
-			>
-				<Download class="mr-2 h-4 w-4" />
-
-				Export conversations
-			</Button>
-
-			{#if showExportSummary && exportedConversations.length > 0}
-				<div class="mt-4 grid overflow-x-auto rounded-lg border border-border/50 bg-muted/30 p-4">
-					<h5 class="mb-2 text-sm font-medium">
-						Exported {exportedConversations.length} conversation{exportedConversations.length === 1
-							? ''
-							: 's'}
-					</h5>
-
-					<ul class="space-y-1 text-sm text-muted-foreground">
-						{#each exportedConversations.slice(0, 10) as conv (conv.id)}
-							<li class="truncate">• {conv.name || 'Untitled conversation'}</li>
-						{/each}
-
-						{#if exportedConversations.length > 10}
-							<li class="italic">
-								... and {exportedConversations.length - 10} more
-							</li>
-						{/if}
-					</ul>
-				</div>
-			{/if}
-		</div>
-
-		<div class="grid border-t border-border/30 pt-4">
-			<h4 class="mb-2 text-sm font-medium">Import Conversations</h4>
-
-			<p class="mb-4 text-sm text-muted-foreground">
-				Import one or more conversations from a previously exported JSON file. This will merge with
-				your existing conversations.
-			</p>
-
-			<Button
-				class="w-full justify-start justify-self-start md:w-auto"
-				onclick={handleImportClick}
-				variant="outline"
-			>
-				<Upload class="mr-2 h-4 w-4" />
-				Import conversations
-			</Button>
-
-			{#if showImportSummary && importedConversations.length > 0}
-				<div class="mt-4 grid overflow-x-auto rounded-lg border border-border/50 bg-muted/30 p-4">
-					<h5 class="mb-2 text-sm font-medium">
-						Imported {importedConversations.length} conversation{importedConversations.length === 1
-							? ''
-							: 's'}
-					</h5>
-
-					<ul class="space-y-1 text-sm text-muted-foreground">
-						{#each importedConversations.slice(0, 10) as conv (conv.id)}
-							<li class="truncate">• {conv.name || 'Untitled conversation'}</li>
-						{/each}
-
-						{#if importedConversations.length > 10}
-							<li class="italic">
-								... and {importedConversations.length - 10} more
-							</li>
-						{/if}
-					</ul>
-				</div>
-			{/if}
-		</div>
-
-		<div class="grid border-t border-border/30 pt-4">
-			<h4 class="mb-2 text-sm font-medium text-destructive">Delete All Conversations</h4>
-
-			<p class="mb-4 text-sm text-muted-foreground">
-				Permanently delete all conversations and their messages. This action cannot be undone.
-				Consider exporting your conversations first if you want to keep a backup.
-			</p>
-
-			<Button
-				class="text-destructive-foreground w-full justify-start justify-self-start bg-destructive hover:bg-destructive/80 md:w-auto"
-				onclick={handleDeleteAllClick}
-				variant="destructive"
-			>
-				<Trash2 class="mr-2 h-4 w-4" />
-
-				Delete all conversations
-			</Button>
+{#snippet summaryList(show: boolean, verb: string, items: DatabaseConversation[])}
+	{#if show && items.length > 0}
+		<div class="mt-4 grid overflow-x-auto rounded-lg border border-border/50 bg-muted/30 p-4">
+			<h5 class="mb-2 text-sm font-medium">
+				{verb}
+				{items.length} conversation{items.length === 1 ? '' : 's'}
+			</h5>
+
+			<ul class="space-y-1 text-sm text-muted-foreground">
+				{#each items.slice(0, 10) as conv (conv.id)}
+					<li class="truncate">• {conv.name || 'Untitled conversation'}</li>
+				{/each}
+
+				{#if items.length > 10}
+					<li class="italic">... and {items.length - 10} more</li>
+				{/if}
+			</ul>
 		</div>
+	{/if}
+{/snippet}
+
+{#snippet section(
+	title: string,
+	description: string,
+	IconComponent: Component,
+	buttonText: string,
+	onclick: () => void,
+	opts: SectionOpts
+)}
+	{@const buttonClass = opts?.buttonClass ?? 'justify-start justify-self-start md:w-auto'}
+	{@const buttonVariant = opts?.buttonVariant ?? 'outline'}
+	<div class="grid gap-1 {opts?.wrapperClass ?? ''}">
+		<h4 class="mt-0 mb-2 text-sm font-medium {opts?.titleClass ?? ''}">{title}</h4>
+
+		<p class="mb-4 text-sm text-muted-foreground">{description}</p>
+
+		<Button class={buttonClass} {onclick} variant={buttonVariant}>
+			<IconComponent class="mr-2 h-4 w-4" />
+
+			{buttonText}
+		</Button>
+
+		{#if opts?.summary}
+			{@render summaryList(opts.summary.show, opts.summary.verb, opts.summary.items)}
+		{/if}
+	</div>
+{/snippet}
+
+<div class="space-y-6" in:fade={{ duration: 150 }}>
+	<div class="space-y-6">
+		{@render section(
+			'Export Conversations',
+			'Download all your conversations as a JSON file. This includes all messages, attachments, and conversation history.',
+			Download,
+			'Export conversations',
+			handleExportClick,
+			{ summary: { show: showExportSummary, verb: 'Exported', items: exportedConversations } }
+		)}
+
+		{@render section(
+			'Import Conversations',
+			'Import one or more conversations from a previously exported JSON file. This will merge with your existing conversations.',
+			Upload,
+			'Import conversations',
+			handleImportClick,
+			{
+				wrapperClass: 'border-t border-border/30 pt-6',
+				summary: { show: showImportSummary, verb: 'Imported', items: importedConversations }
+			}
+		)}
+
+		{@render section(
+			'Delete All Conversations',
+			'Permanently delete all conversations and their messages. This action cannot be undone. Consider exporting your conversations first if you want to keep a backup.',
+			Trash2,
+			'Delete all conversations',
+			handleDeleteAllClick,
+			{
+				wrapperClass: 'border-t border-border/30 pt-4',
+				titleClass: 'text-destructive',
+				buttonVariant: 'destructive',
+				buttonClass:
+					'text-destructive-foreground justify-start justify-self-start bg-destructive hover:bg-destructive/80 md:w-auto'
+			}
+		)}
 	</div>
 </div>
 
 <DialogConversationSelection
 	conversations={availableConversations}
 	{messageCountMap}
-	mode="export"
+	mode={ConversationSelectionMode.EXPORT}
 	bind:open={showExportDialog}
 	onCancel={() => (showExportDialog = false)}
 	onConfirm={handleExportConfirm}
@@ -290,7 +281,7 @@
 <DialogConversationSelection
 	conversations={availableConversations}
 	{messageCountMap}
-	mode="import"
+	mode={ConversationSelectionMode.IMPORT}
 	bind:open={showImportDialog}
 	onCancel={() => (showImportDialog = false)}
 	onConfirm={handleImportConfirm}
diff --git a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsParameterSourceIndicator.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatParameterSourceIndicator.svelte
similarity index 99%
rename from tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsParameterSourceIndicator.svelte
rename to tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatParameterSourceIndicator.svelte
index b566985ba..1407eb87e 100644
--- a/tools/server/webui/src/lib/components/app/chat/ChatSettings/ChatSettingsParameterSourceIndicator.svelte
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatParameterSourceIndicator.svelte
@@ -14,5 +14,6 @@
 	class="h-5 bg-orange-100 px-1.5 py-0.5 text-xs text-orange-800 dark:bg-orange-900 dark:text-orange-200 {className}"
 >
 	<Wrench class="mr-1 h-3 w-3" />
+
 	Custom
 </Badge>
diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte
new file mode 100644
index 000000000..5857254d8
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChat/SettingsChatToolsTab.svelte
@@ -0,0 +1,104 @@
+<script lang="ts">
+	import { ChevronDown, ChevronRight } from '@lucide/svelte';
+	import { Checkbox } from '$lib/components/ui/checkbox';
+	import * as Collapsible from '$lib/components/ui/collapsible';
+	import { TruncatedText, McpServerIdentity } from '$lib/components/app';
+	import { toolsStore } from '$lib/stores/tools.svelte';
+	import { permissionsStore } from '$lib/stores/permissions.svelte';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { SvelteSet } from 'svelte/reactivity';
+
+	let expandedGroups = new SvelteSet<string>();
+	let groups = $derived(toolsStore.toolGroups);
+
+	function toggleExpanded(label: string) {
+		if (expandedGroups.has(label)) {
+			expandedGroups.delete(label);
+		} else {
+			expandedGroups.add(label);
+		}
+	}
+</script>
+
+{#if groups.length === 0}
+	<div class="py-8 text-center text-sm text-muted-foreground">No tools available</div>
+{:else}
+	<div class="space-y-2">
+		{#each groups as group (group.label)}
+			{@const isExpanded = expandedGroups.has(group.label)}
+			<Collapsible.Root open={isExpanded} onOpenChange={() => toggleExpanded(group.label)}>
+				<Collapsible.Trigger
+					class="flex w-full items-center gap-2 rounded-lg px-3 py-2 text-sm hover:bg-muted/50"
+				>
+					{#if isExpanded}
+						<ChevronDown class="h-3.5 w-3.5 shrink-0" />
+					{:else}
+						<ChevronRight class="h-3.5 w-3.5 shrink-0" />
+					{/if}
+
+					{@const faviconUrl = group.serverId ? mcpStore.getServerFavicon(group.serverId) : null}
+
+					<span class="inline-flex min-w-0 items-center gap-1.5 font-medium">
+						<McpServerIdentity
+							iconClass="h-4 w-4"
+							iconRounded="rounded-sm"
+							showVersion={false}
+							displayName={group.label}
+							{faviconUrl}
+						/>
+					</span>
+
+					<span class="ml-auto shrink-0 text-xs text-muted-foreground">
+						{group.tools.length} tool{group.tools.length !== 1 ? 's' : ''}
+					</span>
+				</Collapsible.Trigger>
+
+				<Collapsible.Content>
+					<div class="ml-4 border-l border-border/50 pl-2">
+						<!-- Header row -->
+						<div class="flex items-center gap-2 px-2 py-1 text-xs text-muted-foreground">
+							<span class="min-w-0 flex-1">Tool</span>
+							<span class="w-16 shrink-0 text-center">Enabled</span>
+							<span class="w-20 shrink-0 text-center">Always allow</span>
+						</div>
+
+						{#each group.tools as tool (tool.function.name)}
+							{@const toolName = tool.function.name}
+							{@const isEnabled = toolsStore.isToolEnabled(toolName)}
+							{@const permissionKey = toolsStore.getPermissionKey(toolName)}
+							{@const isAlwaysAllowed = permissionKey
+								? permissionsStore.hasTool(permissionKey)
+								: false}
+
+							<div class="flex items-center gap-2 rounded px-2 py-1.5 text-sm hover:bg-muted/50">
+								<TruncatedText text={toolName} class="flex-1" showTooltip={true} />
+
+								<div class="flex w-16 shrink-0 justify-center">
+									<Checkbox
+										checked={isEnabled}
+										onCheckedChange={() => toolsStore.toggleTool(toolName)}
+										class="h-4 w-4"
+									/>
+								</div>
+
+								<div class="flex w-20 shrink-0 justify-center">
+									<Checkbox
+										checked={isAlwaysAllowed}
+										onCheckedChange={() => {
+											if (isAlwaysAllowed) {
+												permissionsStore.revokeTool(permissionKey!);
+											} else {
+												permissionsStore.allowTool(permissionKey!);
+											}
+										}}
+										class="h-4 w-4"
+									/>
+								</div>
+							</div>
+						{/each}
+					</div>
+				</Collapsible.Content>
+			</Collapsible.Root>
+		{/each}
+	</div>
+{/if}
diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte
new file mode 100644
index 000000000..48a7b8757
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChatDesktopSidebar.svelte
@@ -0,0 +1,49 @@
+<script lang="ts">
+	import { Settings } from '@lucide/svelte';
+	import type { SettingsSection, SettingsSectionTitle } from '$lib/constants';
+
+	interface Props {
+		sections: SettingsSection[];
+		isActive: (section: SettingsSection) => boolean;
+		getHref?: (section: SettingsSection) => string;
+		onSectionChange?: (section: SettingsSectionTitle) => void;
+	}
+
+	let { sections, isActive, getHref, onSectionChange }: Props = $props();
+</script>
+
+<div class="sticky top-0 hidden w-64 flex-col self-start bg-background pt-10 pb-4 md:flex">
+	<div class="flex items-center gap-2 pb-10">
+		<Settings class="h-6 w-6" />
+		<h1 class="text-2xl font-semibold">Settings</h1>
+	</div>
+	<nav class="space-y-1">
+		{#each sections as section (section.title)}
+			{#if getHref}
+				<a
+					class="flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm no-underline transition-colors hover:bg-accent {isActive(
+						section
+					)
+						? 'bg-accent text-accent-foreground'
+						: 'text-muted-foreground'}"
+					href={getHref(section)}
+				>
+					<section.icon class="h-4 w-4" />
+					<span class="ml-2">{section.title}</span>
+				</a>
+			{:else}
+				<button
+					class="flex w-full cursor-pointer items-center gap-3 rounded-lg px-3 py-2 text-left text-sm transition-colors hover:bg-accent {isActive(
+						section
+					)
+						? 'bg-accent text-accent-foreground'
+						: 'text-muted-foreground'}"
+					onclick={() => onSectionChange?.(section.title)}
+				>
+					<section.icon class="h-4 w-4" />
+					<span class="ml-2">{section.title}</span>
+				</button>
+			{/if}
+		{/each}
+	</nav>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsChatMobileHeader.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsChatMobileHeader.svelte
new file mode 100644
index 000000000..15eedd108
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsChatMobileHeader.svelte
@@ -0,0 +1,107 @@
+<script lang="ts">
+	import { Settings, ChevronLeft, ChevronRight } from '@lucide/svelte';
+	import { onMount, tick } from 'svelte';
+	import type { SettingsSection, SettingsSectionTitle } from '$lib/constants';
+	import { useScrollCarousel } from '$lib/hooks/use-scroll-carousel.svelte';
+
+	interface Props {
+		sections: SettingsSection[];
+		isActive: (section: SettingsSection) => boolean;
+		getHref?: (section: SettingsSection) => string;
+		onSectionChange?: (section: SettingsSectionTitle) => void;
+	}
+
+	let { sections, isActive, getHref, onSectionChange }: Props = $props();
+
+	const carousel = useScrollCarousel();
+
+	onMount(async () => {
+		await tick();
+		if (carousel.scrollContainer) {
+			const activeTab = carousel.scrollContainer.querySelector('[data-active="true"]');
+			if (activeTab instanceof HTMLElement) {
+				carousel.scrollToCenter(activeTab);
+			}
+		}
+	});
+
+	export function updateCarousel() {
+		setTimeout(carousel.updateScrollButtons, 100);
+	}
+</script>
+
+<div class="sticky top-0 z-10 flex flex-col bg-background md:hidden">
+	<div class="flex items-center gap-2 px-4 pt-4 pb-2 md:pt-6">
+		<Settings class="h-5 w-5 md:h-6 md:w-6" />
+
+		<h1 class="text-xl font-semibold md:text-2xl">Settings</h1>
+	</div>
+
+	<div class="border-b border-border/30 py-2">
+		<div class="relative flex items-center" style="scroll-padding: 1rem;">
+			<button
+				class="absolute left-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent {carousel.canScrollLeft
+					? 'opacity-100'
+					: 'pointer-events-none opacity-0'}"
+				onclick={carousel.scrollLeft}
+				aria-label="Scroll left"
+			>
+				<ChevronLeft class="h-4 w-4" />
+			</button>
+
+			<div
+				class="scrollbar-hide overflow-x-auto py-2"
+				bind:this={carousel.scrollContainer}
+				onscroll={carousel.updateScrollButtons}
+			>
+				<div class="flex min-w-max gap-2">
+					{#each sections as section (section.title)}
+						{#if getHref}
+							<a
+								class="flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap no-underline transition-colors first:ml-4 last:mr-4 hover:bg-accent {isActive(
+									section
+								)
+									? 'bg-accent text-accent-foreground'
+									: 'text-muted-foreground'}"
+								data-active={isActive(section)}
+								href={getHref(section)}
+								onclick={(e: MouseEvent) => {
+									carousel.scrollToCenter(e.currentTarget as HTMLElement);
+								}}
+							>
+								<section.icon class="h-4 w-4 flex-shrink-0" />
+								<span>{section.title}</span>
+							</a>
+						{:else}
+							<button
+								class="flex cursor-pointer items-center gap-2 rounded-lg px-3 py-2 text-sm whitespace-nowrap transition-colors first:ml-4 last:mr-4 hover:bg-accent {isActive(
+									section
+								)
+									? 'bg-accent text-accent-foreground'
+									: 'text-muted-foreground'}"
+								data-active={isActive(section)}
+								onclick={(e: MouseEvent) => {
+									onSectionChange?.(section.title);
+									carousel.scrollToCenter(e.currentTarget as HTMLElement);
+								}}
+							>
+								<section.icon class="h-4 w-4 flex-shrink-0" />
+								<span>{section.title}</span>
+							</button>
+						{/if}
+					{/each}
+				</div>
+			</div>
+
+			<button
+				class="absolute right-2 z-10 flex h-6 w-6 items-center justify-center rounded-full bg-muted shadow-md backdrop-blur-sm transition-opacity hover:bg-accent {carousel.canScrollRight
+					? 'opacity-100'
+					: 'pointer-events-none opacity-0'}"
+				onclick={carousel.scrollRight}
+				aria-label="Scroll right"
+			>
+				<ChevronRight class="h-4 w-4" />
+			</button>
+		</div>
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte b/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte
new file mode 100644
index 000000000..5c801fa2c
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/SettingsMcpServers.svelte
@@ -0,0 +1,108 @@
+<script lang="ts">
+	import { Plus } from '@lucide/svelte';
+	import { Button } from '$lib/components/ui/button';
+	import { mcpStore } from '$lib/stores/mcp.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
+	import { toolsStore } from '$lib/stores/tools.svelte';
+	import { McpServerCard, McpServerCardSkeleton } from '$lib/components/app/mcp';
+	import { DialogMcpServerAddNew } from '$lib/components/app/dialogs';
+	import { HealthCheckStatus } from '$lib/enums';
+	import { fade } from 'svelte/transition';
+	import { onMount } from 'svelte';
+	import McpLogo from '../mcp/McpLogo.svelte';
+	import { page } from '$app/state';
+	import { replaceState } from '$app/navigation';
+
+	interface Props {
+		class?: string;
+	}
+
+	let { class: className }: Props = $props();
+
+	let servers = $derived(mcpStore.getServersSorted());
+
+	let initialLoadComplete = $state(false);
+	let isAddingServer = $state(false);
+
+	onMount(() => {
+		if (page.url.searchParams.has('add')) {
+			isAddingServer = true;
+
+			const newUrl = new URL(page.url);
+			newUrl.searchParams.delete('add');
+
+			replaceState(newUrl, {});
+		}
+	});
+
+	$effect(() => {
+		if (initialLoadComplete) return;
+
+		const allChecked =
+			servers.length > 0 &&
+			servers.every((server) => {
+				const state = mcpStore.getHealthCheckState(server.id);
+
+				return (
+					state.status === HealthCheckStatus.SUCCESS || state.status === HealthCheckStatus.ERROR
+				);
+			});
+
+		if (allChecked) {
+			initialLoadComplete = true;
+		}
+	});
+</script>
+
+<div in:fade={{ duration: 150 }} class="h-full max-h-[100dvh] overflow-y-auto">
+	<div class="flex items-center gap-2 p-4 md:absolute md:top-8 md:left-8 md:px-0 md:py-2">
+		<McpLogo class="h-5 w-5 md:h-6 md:w-6" />
+
+		<h1 class="text-xl font-semibold md:text-2xl">MCP Servers</h1>
+	</div>
+
+	<div class="sticky top-0 z-10 mt-4 flex items-start gap-4 p-4 md:justify-end md:px-8">
+		<Button variant="outline" size="sm" class="shrink-0" onclick={() => (isAddingServer = true)}>
+			<Plus class="h-4 w-4" />
+
+			Add New Server
+		</Button>
+	</div>
+
+	<DialogMcpServerAddNew bind:open={isAddingServer} />
+
+	<div class="grid gap-5 md:space-y-4 {className}">
+		{#if servers.length === 0 && !isAddingServer}
+			<div class="rounded-md border border-dashed p-4 text-sm text-muted-foreground">
+				No MCP Servers configured yet. Add one to enable agentic features.
+			</div>
+		{/if}
+
+		{#if servers.length > 0}
+			<div
+				class="grid gap-3"
+				style="grid-template-columns: repeat(auto-fill, minmax(min(32rem, calc(100dvw - 2rem)), 1fr));"
+			>
+				{#each servers as server (server.id)}
+					{#if !initialLoadComplete}
+						<McpServerCardSkeleton />
+					{:else}
+						<McpServerCard
+							{server}
+							enabled={conversationsStore.isMcpServerEnabledForChat(server.id)}
+							onToggle={async () => {
+								const wasEnabled = conversationsStore.isMcpServerEnabledForChat(server.id);
+								await conversationsStore.toggleMcpServerForChat(server.id);
+								if (!wasEnabled) {
+									toolsStore.enableAllToolsForServer(server.id);
+								}
+							}}
+							onUpdate={(updates) => mcpStore.updateServer(server.id, updates)}
+							onDelete={() => mcpStore.removeServer(server.id)}
+						/>
+					{/if}
+				{/each}
+			</div>
+		{/if}
+	</div>
+</div>
diff --git a/tools/server/webui/src/lib/components/app/settings/index.ts b/tools/server/webui/src/lib/components/app/settings/index.ts
new file mode 100644
index 000000000..50848a344
--- /dev/null
+++ b/tools/server/webui/src/lib/components/app/settings/index.ts
@@ -0,0 +1,64 @@
+/**
+ * Full chat settings page layout with sidebar, mobile header, and content area.
+ * Manages local configuration state, section navigation, and context setup.
+ * Accepts an optional `initialSection` prop to override the URL-based section resolution.
+ */
+export { default as SettingsChat } from './SettingsChat/SettingsChat.svelte';
+
+/**
+ * Desktop sidebar navigation for chat settings.
+ * Displays a list of settings sections with icons and titles.
+ * Supports both hash-link navigation (via `getHref`) and in-app section switching (via `onSectionChange`).
+ */
+export { default as SettingsChatDesktopSidebar } from './SettingsChatDesktopSidebar.svelte';
+
+/**
+ * Mobile header with a horizontally scrollable section picker for chat settings.
+ * Shows chevron buttons for scroll navigation and highlights the active section.
+ * Supports both hash-link navigation (via `getHref`) and in-app section switching (via `onSectionChange`).
+ */
+export { default as SettingsChatMobileHeader } from './SettingsChatMobileHeader.svelte';
+
+/**
+ * Settings Import/Export panel.
+ * Provides UI for importing and exporting chat conversations.
+ */
+export { default as SettingsChatImportExportTab } from './SettingsChat/SettingsChatImportExportTab.svelte';
+
+/**
+ * MCP Servers configuration panel.
+ * Provides UI for managing Model Context Protocol (MCP) server connections.
+ */
+export { default as SettingsMcpServers } from './SettingsMcpServers.svelte';
+
+/**
+ * Footer with save/cancel buttons for settings panel. Positioned at bottom
+ * of settings dialog. Save button commits form state to config store,
+ * cancel button triggers reset and close.
+ */
+export { default as SettingsChatFooter } from './SettingsChat/SettingsChatFooter.svelte';
+
+/**
+ * Form fields renderer for individual settings. Generates appropriate input
+ * components based on field type (text, number, select, checkbox, textarea).
+ * Handles validation, help text display, and parameter source indicators.
+ */
+export { default as SettingsChatFields } from './SettingsChat/SettingsChatFields.svelte';
+
+/**
+ * Badge indicating parameter source for sampling settings. Shows one of:
+ * - **Custom**: User has explicitly set this value (orange badge)
+ * - **Server Props**: Using default from `/props` endpoint (blue badge)
+ * - **Default**: Using app default, server props unavailable (gray badge)
+ * Updates in real-time as user types to show immediate feedback.
+ */
+export { default as SettingsChatParameterSourceIndicator } from './SettingsChat/SettingsChatParameterSourceIndicator.svelte';
+
+/**
+ * **SettingsChatToolsTab** - Tools configuration tab for chat settings
+ *
+ * Displays available tools grouped by source (built-in, MCP, custom) with
+ * toggles to enable/disable individual tools and tool groups. Shows MCP
+ * server favicons and permission management controls.
+ */
+export { default as SettingsChatToolsTab } from './SettingsChat/SettingsChatToolsTab.svelte';
diff --git a/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-content.svelte b/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-content.svelte
index 2398daee7..c0bb2a34e 100644
--- a/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-content.svelte
@@ -22,7 +22,7 @@
 			'fixed z-[999999] grid w-full gap-4 border bg-background p-6 shadow-lg duration-200',
 			// Mobile: Bottom sheet behavior
 			'right-0 bottom-0 left-0 max-h-[100dvh] translate-x-0 translate-y-0 overflow-y-auto rounded-t-lg',
-			'data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:slide-out-to-bottom-full',
+			'data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:slide-out-to-bottom-full',
 			'data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:slide-in-from-bottom-full',
 			// Desktop: Centered dialog behavior
 			'sm:top-[50%] sm:right-auto sm:bottom-auto sm:left-[50%] sm:max-h-[100vh] sm:max-w-lg sm:translate-x-[-50%] sm:translate-y-[-50%] sm:rounded-lg',
diff --git a/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-overlay.svelte b/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-overlay.svelte
index 71f166deb..b047dcf6c 100644
--- a/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-overlay.svelte
+++ b/tools/server/webui/src/lib/components/ui/alert-dialog/alert-dialog-overlay.svelte
@@ -13,7 +13,7 @@
 	bind:ref
 	data-slot="alert-dialog-overlay"
 	class={cn(
-		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0',
+		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0',
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/button-group/button-group-root.svelte b/tools/server/webui/src/lib/components/ui/button-group/button-group-root.svelte
new file mode 100644
index 000000000..4587ec38e
--- /dev/null
+++ b/tools/server/webui/src/lib/components/ui/button-group/button-group-root.svelte
@@ -0,0 +1,21 @@
+<script lang="ts">
+	import { cn } from '$lib/components/ui/utils';
+	import type { Snippet } from 'svelte';
+	import type { HTMLAttributes } from 'svelte/elements';
+
+	interface Props extends HTMLAttributes<HTMLDivElement> {
+		children: Snippet;
+	}
+
+	let { class: className, children, ...restProps }: Props = $props();
+</script>
+
+<div
+	class={cn(
+		'flex items-center [&>*:first-child]:rounded-r-none [&>*:last-child]:rounded-l-none [&>*:not(:first-child):not(:last-child)]:rounded-none',
+		className
+	)}
+	{...restProps}
+>
+	{@render children()}
+</div>
diff --git a/tools/server/webui/src/lib/components/ui/button-group/button-group-separator.svelte b/tools/server/webui/src/lib/components/ui/button-group/button-group-separator.svelte
new file mode 100644
index 000000000..d13c573c8
--- /dev/null
+++ b/tools/server/webui/src/lib/components/ui/button-group/button-group-separator.svelte
@@ -0,0 +1,8 @@
+<script lang="ts">
+	import { cn } from '$lib/components/ui/utils';
+	import type { HTMLAttributes } from 'svelte/elements';
+
+	let { ...restProps }: HTMLAttributes<HTMLDivElement> = $props();
+</script>
+
+<div class={cn('shrink-0 self-stretch bg-border', 'w-px')} {...restProps}></div>
diff --git a/tools/server/webui/src/lib/components/ui/button-group/index.ts b/tools/server/webui/src/lib/components/ui/button-group/index.ts
new file mode 100644
index 000000000..b0d2e3044
--- /dev/null
+++ b/tools/server/webui/src/lib/components/ui/button-group/index.ts
@@ -0,0 +1,2 @@
+export { default as Root } from './button-group-root.svelte';
+export { default as Separator } from './button-group-separator.svelte';
diff --git a/tools/server/webui/src/lib/components/ui/button/button.svelte b/tools/server/webui/src/lib/components/ui/button/button.svelte
index 5ced3eb9a..cbf4d2cc5 100644
--- a/tools/server/webui/src/lib/components/ui/button/button.svelte
+++ b/tools/server/webui/src/lib/components/ui/button/button.svelte
@@ -7,13 +7,13 @@
 		base: "focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive inline-flex shrink-0 items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium outline-none transition-all focus-visible:ring-[3px] disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 [&_svg:not([class*='size-'])]:size-4 [&_svg]:pointer-events-none [&_svg]:shrink-0",
 		variants: {
 			variant: {
-				default: 'bg-primary text-primary-foreground shadow-xs hover:bg-primary/90',
+				default: 'bg-primary text-primary-foreground shadow-sm hover:bg-primary/90',
 				destructive:
-					'bg-destructive shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white',
+					'bg-destructive shadow-sm hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60 text-white!',
 				outline:
-					'bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:bg-input/30 dark:border-input dark:hover:bg-input/50 border',
+					'shadow-sm hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm dark:border-input border',
 				secondary:
-					'dark:bg-secondary dark:text-secondary-foreground bg-background shadow-sm text-foreground hover:bg-muted-foreground/20',
+					'bg-background dark:bg-muted-foreground/15 dark:text-secondary-foreground shadow-sm text-foreground hover:bg-muted-foreground/20 dark:hover:bg-muted-foreground/25',
 				ghost: 'hover:text-accent-foreground hover:bg-muted-foreground/10 backdrop-blur-sm',
 				link: 'text-primary underline-offset-4 hover:underline'
 			},
diff --git a/tools/server/webui/src/lib/components/ui/dialog/dialog-content.svelte b/tools/server/webui/src/lib/components/ui/dialog/dialog-content.svelte
index 74df0eacb..0e1b07c40 100644
--- a/tools/server/webui/src/lib/components/ui/dialog/dialog-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/dialog/dialog-content.svelte
@@ -25,7 +25,7 @@
 		bind:ref
 		data-slot="dialog-content"
 		class={cn(
-			`fixed top-[50%] left-[50%] z-50 grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]`,
+			`fixed top-[50%] left-[50%] z-50 grid max-h-[100dvh] w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 overflow-y-auto rounded-lg border border-border/30 bg-background p-6 shadow-lg duration-200 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 sm:max-w-lg md:max-h-[100vh]`,
 			className
 		)}
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/dialog/dialog-overlay.svelte b/tools/server/webui/src/lib/components/ui/dialog/dialog-overlay.svelte
index a6e9a102f..a7803f903 100644
--- a/tools/server/webui/src/lib/components/ui/dialog/dialog-overlay.svelte
+++ b/tools/server/webui/src/lib/components/ui/dialog/dialog-overlay.svelte
@@ -13,7 +13,7 @@
 	bind:ref
 	data-slot="dialog-overlay"
 	class={cn(
-		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0',
+		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0',
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
index 6013ca266..0ca0d3964 100644
--- a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-content.svelte
@@ -19,7 +19,7 @@
 		data-slot="dropdown-menu-content"
 		{sideOffset}
 		class={cn(
-			'z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20',
+			'z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20',
 			className
 		)}
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-sub-content.svelte b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-sub-content.svelte
index 3ceb16518..e26c51cdc 100644
--- a/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-sub-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/dropdown-menu/dropdown-menu-sub-content.svelte
@@ -13,7 +13,7 @@
 	bind:ref
 	data-slot="dropdown-menu-sub-content"
 	class={cn(
-		'z-50 min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-hidden rounded-md border bg-popover p-1 text-popover-foreground shadow-lg data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95',
+		'z-50 max-h-(--bits-dropdown-menu-content-available-height) min-w-[8rem] origin-(--bits-dropdown-menu-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border border-border bg-popover p-1.5 text-popover-foreground shadow-md outline-none data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95 dark:border-border/20',
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/popover/popover-content.svelte b/tools/server/webui/src/lib/components/ui/popover/popover-content.svelte
index 2d3513d34..b46e928b1 100644
--- a/tools/server/webui/src/lib/components/ui/popover/popover-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/popover/popover-content.svelte
@@ -29,7 +29,7 @@
 		{collisionPadding}
 		{avoidCollisions}
 		class={cn(
-			'z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-hidden data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95',
+			'z-50 w-72 origin-(--bits-popover-content-transform-origin) rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-hidden data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-end-2 data-[side=right]:slide-in-from-start-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95',
 			className
 		)}
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/select/select-content.svelte b/tools/server/webui/src/lib/components/ui/select/select-content.svelte
index 4050628cc..b54bc60c2 100644
--- a/tools/server/webui/src/lib/components/ui/select/select-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/select/select-content.svelte
@@ -93,7 +93,7 @@
 		{sideOffset}
 		data-slot="select-content"
 		class={cn(
-			'relative z-[var(--layer-popover,1000000)] max-h-(--bits-select-content-available-height) min-w-[8rem] origin-(--bits-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border bg-popover text-popover-foreground shadow-md data-[side=bottom]:translate-y-1 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:-translate-x-1 data-[side=left]:slide-in-from-right-2 data-[side=right]:translate-x-1 data-[side=right]:slide-in-from-left-2 data-[side=top]:-translate-y-1 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95',
+			'relative z-[var(--layer-popover,1000000)] max-h-(--bits-select-content-available-height) min-w-[8rem] origin-(--bits-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border bg-popover text-popover-foreground shadow-md data-[side=bottom]:translate-y-1 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:-translate-x-1 data-[side=left]:slide-in-from-right-2 data-[side=right]:translate-x-1 data-[side=right]:slide-in-from-left-2 data-[side=top]:-translate-y-1 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=closed]:zoom-out-95 data-[state=open]:animate-in data-[state=open]:fade-in-0 data-[state=open]:zoom-in-95',
 			className
 		)}
 		{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte b/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
index 1eaa6d99f..b616c469a 100644
--- a/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/sheet/sheet-content.svelte
@@ -1,7 +1,7 @@
 <script lang="ts" module>
 	import { tv, type VariantProps } from 'tailwind-variants';
 	export const sheetVariants = tv({
-		base: `border-border/30 dark:border-border/20 data-[state=open]:animate-in data-[state=closed]:animate-out fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,
+		base: `border-border/30 dark:border-border/20 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fill-mode-forwards fixed z-50 flex flex-col gap-4 shadow-sm transition ease-in-out data-[state=closed]:duration-300 data-[state=open]:duration-500 ${PANEL_CLASSES}`,
 		variants: {
 			side: {
 				top: 'data-[state=closed]:slide-out-to-top data-[state=open]:slide-in-from-top inset-x-0 top-0 h-auto border-b',
diff --git a/tools/server/webui/src/lib/components/ui/sheet/sheet-overlay.svelte b/tools/server/webui/src/lib/components/ui/sheet/sheet-overlay.svelte
index a6a064f2f..f402d81aa 100644
--- a/tools/server/webui/src/lib/components/ui/sheet/sheet-overlay.svelte
+++ b/tools/server/webui/src/lib/components/ui/sheet/sheet-overlay.svelte
@@ -13,7 +13,7 @@
 	bind:ref
 	data-slot="sheet-overlay"
 	class={cn(
-		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:animate-in data-[state=open]:fade-in-0',
+		'fixed inset-0 z-50 bg-black/50 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:fill-mode-forwards data-[state=open]:animate-in data-[state=open]:fade-in-0',
 		className
 	)}
 	{...restProps}
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/constants.ts b/tools/server/webui/src/lib/components/ui/sidebar/constants.ts
index c7e827b1a..8c320c2ca 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/constants.ts
+++ b/tools/server/webui/src/lib/components/ui/sidebar/constants.ts
@@ -1,6 +1,7 @@
 export const SIDEBAR_COOKIE_NAME = 'sidebar:state';
 export const SIDEBAR_COOKIE_MAX_AGE = 60 * 60 * 24 * 7;
-export const SIDEBAR_WIDTH = '18rem';
+export const SIDEBAR_MIN_WIDTH = '18rem';
+export const SIDEBAR_MAX_WIDTH = '32rem';
 export const SIDEBAR_WIDTH_MOBILE = '18rem';
 export const SIDEBAR_WIDTH_ICON = '3rem';
 export const SIDEBAR_KEYBOARD_SHORTCUT = 'b';
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/context.svelte.ts b/tools/server/webui/src/lib/components/ui/sidebar/context.svelte.ts
index 6fa2aa317..9d49ee1f0 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/context.svelte.ts
+++ b/tools/server/webui/src/lib/components/ui/sidebar/context.svelte.ts
@@ -1,6 +1,6 @@
 import { IsMobile } from '$lib/hooks/is-mobile.svelte.js';
 import { getContext, setContext } from 'svelte';
-import { SIDEBAR_KEYBOARD_SHORTCUT } from './constants.js';
+import { SIDEBAR_KEYBOARD_SHORTCUT, SIDEBAR_MIN_WIDTH } from './constants.js';
 
 type Getter<T> = () => T;
 
@@ -24,6 +24,8 @@ class SidebarState {
 	readonly props: SidebarStateProps;
 	open = $derived.by(() => this.props.open());
 	openMobile = $state(false);
+	sidebarWidth = $state(SIDEBAR_MIN_WIDTH);
+	isResizing = $state(false);
 	setOpen: SidebarStateProps['setOpen'];
 	#isMobile: IsMobile;
 	state = $derived.by(() => (this.open ? 'expanded' : 'collapsed'));
@@ -53,7 +55,7 @@ class SidebarState {
 	};
 
 	toggle = () => {
-		return this.#isMobile.current ? (this.openMobile = !this.openMobile) : this.setOpen(!this.open);
+		this.setOpen(!this.open);
 	};
 }
 
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-footer.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-footer.svelte
index 67be0a484..69914dfa2 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-footer.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-footer.svelte
@@ -14,7 +14,7 @@
 	bind:this={ref}
 	data-slot="sidebar-footer"
 	data-sidebar="footer"
-	class={cn('flex flex-col gap-2 p-2', className)}
+	class={cn('flex flex-col gap-2 p-3', className)}
 	{...restProps}
 >
 	{@render children?.()}
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-menu-button.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-menu-button.svelte
index 2ce03054e..f9efd67e9 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-menu-button.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-menu-button.svelte
@@ -2,7 +2,7 @@
 	import { tv, type VariantProps } from 'tailwind-variants';
 
 	export const sidebarMenuButtonVariants = tv({
-		base: 'peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=menu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accent data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md p-2 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 data-[active=true]:font-medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0',
+		base: 'peer/menu-button outline-hidden ring-sidebar-ring hover:bg-sidebar-accent hover:text-sidebar-accent-foreground active:bg-sidebar-accent active:text-sidebar-accent-foreground group-has-data-[sidebar=menu-action]/menu-item:pr-8 data-[active=true]:bg-sidebar-accent data-[active=true]:text-sidebar-accent-foreground data-[state=open]:hover:bg-sidebar-accent data-[state=open]:hover:text-sidebar-accent-foreground group-data-[collapsible=icon]:size-8! group-data-[collapsible=icon]:p-2! flex w-full items-center gap-2 overflow-hidden rounded-md py-2 px-1 text-left text-sm transition-[width,height,padding] focus-visible:ring-2 disabled:pointer-events-none disabled:opacity-50 aria-disabled:pointer-events-none aria-disabled:opacity-50 data-[active=true]:font-medium [&>span:last-child]:truncate [&>svg]:size-4 [&>svg]:shrink-0',
 		variants: {
 			variant: {
 				default: 'hover:bg-sidebar-accent hover:text-sidebar-accent-foreground',
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-provider.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-provider.svelte
index 364235a49..7ab9ded7f 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-provider.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-provider.svelte
@@ -4,7 +4,8 @@
 	import {
 		SIDEBAR_COOKIE_MAX_AGE,
 		SIDEBAR_COOKIE_NAME,
-		SIDEBAR_WIDTH,
+		SIDEBAR_MIN_WIDTH,
+		SIDEBAR_MAX_WIDTH,
 		SIDEBAR_WIDTH_ICON
 	} from './constants.js';
 	import { setSidebar } from './context.svelte.js';
@@ -38,7 +39,7 @@
 
 <div
 	data-slot="sidebar-wrapper"
-	style="--sidebar-width: {SIDEBAR_WIDTH}; --sidebar-width-icon: {SIDEBAR_WIDTH_ICON}; {style}"
+	style="--sidebar-width: {sidebar.sidebarWidth}; --sidebar-min-width: {SIDEBAR_MIN_WIDTH}; --sidebar-max-width: {SIDEBAR_MAX_WIDTH}; --sidebar-width-icon: {SIDEBAR_WIDTH_ICON}; {style}"
 	class={cn(
 		'group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar',
 		className
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
index b6ff373ff..67076d4d3 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar-trigger.svelte
@@ -3,6 +3,7 @@
 	import PanelLeftIcon from '@lucide/svelte/icons/panel-left';
 	import type { ComponentProps } from 'svelte';
 	import { useSidebar } from './context.svelte.js';
+	import { PanelLeftClose } from '@lucide/svelte';
 
 	let {
 		ref = $bindable(null),
@@ -21,9 +22,11 @@
 	data-slot="sidebar-trigger"
 	variant="ghost"
 	size="icon-lg"
-	class="rounded-full backdrop-blur-lg {className} md:left-{sidebar.open
-		? 'unset'
-		: '2'} -top-2 -left-2 md:top-0"
+	class="rounded-full backdrop-blur-lg {className} {sidebar.open
+		? 'top-1.5'
+		: 'top-0'} md:left-[calc(var(--sidebar-width)-3.25rem)] {sidebar.isResizing
+		? '!duration-0'
+		: ''}"
 	type="button"
 	onclick={(e) => {
 		onclick?.(e);
@@ -31,6 +34,10 @@
 	}}
 	{...restProps}
 >
-	<PanelLeftIcon />
+	{#if sidebar.open}
+		<PanelLeftClose />
+	{:else}
+		<PanelLeftIcon />
+	{/if}
 	<span class="sr-only">Toggle Sidebar</span>
 </Button>
diff --git a/tools/server/webui/src/lib/components/ui/sidebar/sidebar.svelte b/tools/server/webui/src/lib/components/ui/sidebar/sidebar.svelte
index e2c4a7548..d6da1aec7 100644
--- a/tools/server/webui/src/lib/components/ui/sidebar/sidebar.svelte
+++ b/tools/server/webui/src/lib/components/ui/sidebar/sidebar.svelte
@@ -1,9 +1,9 @@
 <script lang="ts">
-	import * as Sheet from '$lib/components/ui/sheet/index.js';
 	import { cn, type WithElementRef } from '$lib/components/ui/utils.js';
 	import type { HTMLAttributes } from 'svelte/elements';
-	import { SIDEBAR_WIDTH_MOBILE } from './constants.js';
+	import { SIDEBAR_MIN_WIDTH, SIDEBAR_MAX_WIDTH } from './constants.js';
 	import { useSidebar } from './context.svelte.js';
+	import { remToPx } from '$lib/utils';
 
 	let {
 		ref = $bindable(null),
@@ -20,6 +20,34 @@
 	} = $props();
 
 	const sidebar = useSidebar();
+
+	function handleResizePointerDown(e: PointerEvent) {
+		if (sidebar.isMobile) return;
+		e.preventDefault();
+
+		const target = e.currentTarget as HTMLElement;
+		target.setPointerCapture(e.pointerId);
+
+		const minPx = remToPx(SIDEBAR_MIN_WIDTH);
+		const maxPx = remToPx(SIDEBAR_MAX_WIDTH);
+
+		sidebar.isResizing = true;
+
+		function onPointerMove(ev: PointerEvent) {
+			const newWidth = side === 'left' ? ev.clientX : window.innerWidth - ev.clientX;
+			const clamped = Math.min(maxPx, Math.max(minPx, newWidth));
+			sidebar.sidebarWidth = `${clamped}px`;
+		}
+
+		function onPointerUp() {
+			sidebar.isResizing = false;
+			target.removeEventListener('pointermove', onPointerMove);
+			target.removeEventListener('pointerup', onPointerUp);
+		}
+
+		target.addEventListener('pointermove', onPointerMove);
+		target.addEventListener('pointerup', onPointerUp);
+	}
 </script>
 
 {#if collapsible === 'none'}
@@ -33,29 +61,10 @@
 	>
 		{@render children?.()}
 	</div>
-{:else if sidebar.isMobile}
-	<Sheet.Root bind:open={() => sidebar.openMobile, (v) => sidebar.setOpenMobile(v)} {...restProps}>
-		<Sheet.Content
-			data-sidebar="sidebar"
-			data-slot="sidebar"
-			data-mobile="true"
-			class="z-99999 w-(--sidebar-width) bg-sidebar p-0 text-sidebar-foreground sm:z-99 [&>button]:hidden"
-			style="--sidebar-width: {SIDEBAR_WIDTH_MOBILE};"
-			{side}
-		>
-			<Sheet.Header class="sr-only">
-				<Sheet.Title>Sidebar</Sheet.Title>
-				<Sheet.Description>Displays the mobile sidebar.</Sheet.Description>
-			</Sheet.Header>
-			<div class="flex h-full w-full flex-col">
-				{@render children?.()}
-			</div>
-		</Sheet.Content>
-	</Sheet.Root>
 {:else}
 	<div
 		bind:this={ref}
-		class="group peer hidden text-sidebar-foreground md:block"
+		class="group peer block text-sidebar-foreground"
 		data-state={sidebar.state}
 		data-collapsible={sidebar.state === 'collapsed' ? collapsible : ''}
 		data-variant={variant}
@@ -66,36 +75,76 @@
 		<div
 			data-slot="sidebar-gap"
 			class={cn(
-				'relative w-(--sidebar-width) bg-transparent transition-[width] duration-200 ease-linear',
-				'group-data-[collapsible=offcanvas]:w-0',
+				'relative bg-transparent transition-[width] duration-200 ease-linear',
+				sidebar.isResizing && '!duration-0',
+				'w-0',
+				variant === 'floating'
+					? 'md:w-[calc(var(--sidebar-width)+0.75rem)]'
+					: 'md:w-(--sidebar-width)',
+				'md:group-data-[collapsible=offcanvas]:w-0',
 				'group-data-[side=right]:rotate-180',
 				variant === 'floating' || variant === 'inset'
 					? 'group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]'
 					: 'group-data-[collapsible=icon]:w-(--sidebar-width-icon)'
 			)}
 		></div>
+
 		<div
 			data-slot="sidebar-container"
 			class={cn(
-				'fixed inset-y-0 z-999 hidden h-svh w-(--sidebar-width) transition-[left,right,width] duration-200 ease-linear md:z-0 md:flex',
-				side === 'left'
-					? 'left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-1)]'
-					: 'right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]',
-				// Adjust the padding for floating and inset variants.
-				variant === 'floating' || variant === 'inset'
+				'fixed inset-y-0 z-[900] flex w-[calc(100dvw-1.5rem)] duration-200 ease-linear md:z-0 md:w-(--sidebar-width)',
+				'group-data-[collapsible=offcanvas]:pointer-events-none md:group-data-[collapsible=offcanvas]:pointer-events-auto',
+				sidebar.isResizing && '!duration-0',
+				variant === 'floating'
+					? [
+							'transition-[left,right,width,opacity]',
+							side === 'left'
+								? 'left-3 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:opacity-0'
+								: 'right-3 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-0.775)] group-data-[collapsible=offcanvas]:opacity-0',
+							'my-3 overflow-hidden rounded-3xl border border-sidebar-border shadow-md'
+						]
+					: [
+							'h-svh transition-[left,right,width]',
+							side === 'left'
+								? 'left-0 group-data-[collapsible=offcanvas]:left-[calc(var(--sidebar-width)*-1)]'
+								: 'right-0 group-data-[collapsible=offcanvas]:right-[calc(var(--sidebar-width)*-1)]'
+						],
+				// Adjust the padding for inset variant.
+				variant === 'inset'
 					? 'p-2 group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]'
-					: 'group-data-[collapsible=icon]:w-(--sidebar-width-icon)',
+					: variant === 'floating'
+						? 'group-data-[collapsible=icon]:w-[calc(var(--sidebar-width-icon)+(--spacing(4))+2px)]'
+						: 'group-data-[collapsible=icon]:w-(--sidebar-width-icon)',
 				className
 			)}
+			style={variant === 'floating' ? 'height: calc(100dvh - 1.5rem);' : undefined}
 			{...restProps}
 		>
 			<div
 				data-sidebar="sidebar"
 				data-slot="sidebar-inner"
-				class="flex h-full w-full flex-col bg-sidebar group-data-[variant=floating]:rounded-lg group-data-[variant=floating]:border group-data-[variant=floating]:border-sidebar-border group-data-[variant=floating]:shadow-sm"
+				class="flex h-full w-full flex-col bg-sidebar"
 			>
 				{@render children?.()}
 			</div>
+			<!-- Resize handle -->
+			{#if side === 'left'}
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<div
+					data-slot="sidebar-resize-handle"
+					class="absolute inset-y-0 right-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:block"
+					class:bg-sidebar-border={sidebar.isResizing}
+					onpointerdown={handleResizePointerDown}
+				></div>
+			{:else}
+				<!-- svelte-ignore a11y_no_static_element_interactions -->
+				<div
+					data-slot="sidebar-resize-handle"
+					class="absolute inset-y-0 left-0 z-50 hidden w-1.5 cursor-ew-resize touch-none select-none hover:bg-sidebar-border/50 active:bg-sidebar-border md:block"
+					class:bg-sidebar-border={sidebar.isResizing}
+					onpointerdown={handleResizePointerDown}
+				></div>
+			{/if}
 		</div>
 	</div>
 {/if}
diff --git a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
index 011d492f3..5b0c76818 100644
--- a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
+++ b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-content.svelte
@@ -18,7 +18,7 @@
 
 	const contentClass = $derived(
 		cn(
-			'z-50 w-fit origin-(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95',
+			'z-50 w-fit origin-(--bits-tooltip-content-transform-origin) animate-in rounded-md bg-primary px-3 py-1.5 text-xs text-balance text-primary-foreground fade-in-0 zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[state=closed]:fill-mode-forwards',
 			className
 		)
 	);
diff --git a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-trigger.svelte b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-trigger.svelte
index 5631d1b4c..671d6e220 100644
--- a/tools/server/webui/src/lib/components/ui/tooltip/tooltip-trigger.svelte
+++ b/tools/server/webui/src/lib/components/ui/tooltip/tooltip-trigger.svelte
@@ -4,4 +4,9 @@
 	let { ref = $bindable(null), ...restProps }: TooltipPrimitive.TriggerProps = $props();
 </script>
 
-<TooltipPrimitive.Trigger bind:ref data-slot="tooltip-trigger" {...restProps} />
+<TooltipPrimitive.Trigger
+	bind:ref
+	data-slot="tooltip-trigger"
+	class="cursor-pointer"
+	{...restProps}
+/>
diff --git a/tools/server/webui/src/lib/constants/agentic.ts b/tools/server/webui/src/lib/constants/agentic.ts
index 831fa35a9..4fe6da61c 100644
--- a/tools/server/webui/src/lib/constants/agentic.ts
+++ b/tools/server/webui/src/lib/constants/agentic.ts
@@ -4,8 +4,6 @@ export const ATTACHMENT_SAVED_REGEX = /\[Attachment saved: ([^\]]+)\]/;
 
 export const NEWLINE_SEPARATOR = '\n';
 
-export const TURN_LIMIT_MESSAGE = '\n\n```\nTurn limit reached\n```\n';
-
 export const LLM_ERROR_BLOCK_START = '\n\n```\nUpstream LLM error:\n';
 export const LLM_ERROR_BLOCK_END = '\n```\n';
 
@@ -15,6 +13,11 @@ export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = {
 	maxToolPreviewLines: 25
 } as const;
 
+export const REASONING_TAGS = {
+	START: '<think>',
+	END: '</think>'
+} as const;
+
 /**
  * @deprecated Legacy marker tags - only used for migration of old stored messages.
  * New messages use structured fields (reasoningContent, toolCalls, toolCallId).
diff --git a/tools/server/webui/src/lib/constants/api-endpoints.ts b/tools/server/webui/src/lib/constants/api-endpoints.ts
index aa7ca3a22..f89ebe421 100644
--- a/tools/server/webui/src/lib/constants/api-endpoints.ts
+++ b/tools/server/webui/src/lib/constants/api-endpoints.ts
@@ -4,5 +4,10 @@ export const API_MODELS = {
 	UNLOAD: '/models/unload'
 };
 
+export const API_TOOLS = {
+	LIST: '/tools',
+	EXECUTE: '/tools'
+};
+
 /** CORS proxy endpoint path */
 export const CORS_PROXY_ENDPOINT = '/cors-proxy';
diff --git a/tools/server/webui/src/lib/constants/attachment-menu.ts b/tools/server/webui/src/lib/constants/attachment-menu.ts
new file mode 100644
index 000000000..dea4d1a39
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/attachment-menu.ts
@@ -0,0 +1,103 @@
+import type { Component } from 'svelte';
+import { MessageSquare, Zap, FolderOpen } from '@lucide/svelte';
+import { FILE_TYPE_ICONS } from '$lib/constants/icons';
+import {
+	AttachmentAction,
+	AttachmentItemEnabledWhen,
+	AttachmentItemVisibleWhen,
+	AttachmentMenuItemId
+} from '$lib/enums';
+
+export interface AttachmentMenuItem {
+	/** Unique identifier for the item */
+	id: AttachmentMenuItemId;
+	/** Display label */
+	label: string;
+	/** Lucide icon component */
+	icon: Component;
+	/** Extra CSS class applied to the item (e.g. for test selectors) */
+	class?: string;
+	/** Whether the item requires a specific modality to be enabled */
+	enabledWhen?: AttachmentItemEnabledWhen;
+	/** Tooltip shown when the item is disabled */
+	disabledTooltip?: string;
+	/** Callback key on the Props interface to invoke when clicked */
+	action: AttachmentAction;
+	/** Whether the item is only shown when a specific capability is present */
+	visibleWhen?: AttachmentItemVisibleWhen;
+	/** Whether this item has a tooltip even when enabled (uses dynamic text) */
+	hasEnabledTooltip?: boolean;
+}
+
+/**
+ * File attachment menu items shown in both the desktop dropdown and mobile sheet.
+ * The "Tools" submenu is handled separately by each component.
+ */
+export const ATTACHMENT_FILE_ITEMS: AttachmentMenuItem[] = [
+	{
+		id: AttachmentMenuItemId.IMAGES,
+		label: 'Images',
+		icon: FILE_TYPE_ICONS.image,
+		class: 'images-button',
+		enabledWhen: AttachmentItemEnabledWhen.HAS_VISION_MODALITY,
+		disabledTooltip: 'Image processing requires a vision model',
+		action: AttachmentAction.FILE_UPLOAD
+	},
+	{
+		id: AttachmentMenuItemId.AUDIO,
+		label: 'Audio Files',
+		icon: FILE_TYPE_ICONS.audio,
+		class: 'audio-button',
+		enabledWhen: AttachmentItemEnabledWhen.HAS_AUDIO_MODALITY,
+		disabledTooltip: 'Audio files processing requires an audio model',
+		action: AttachmentAction.FILE_UPLOAD
+	},
+	{
+		id: AttachmentMenuItemId.TEXT,
+		label: 'Text Files',
+		icon: FILE_TYPE_ICONS.text,
+		enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
+		action: AttachmentAction.FILE_UPLOAD
+	},
+	{
+		id: AttachmentMenuItemId.PDF,
+		label: 'PDF Files',
+		icon: FILE_TYPE_ICONS.pdf,
+		enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
+		disabledTooltip: 'PDFs will be converted to text. Image-based PDFs may not work properly.',
+		hasEnabledTooltip: true,
+		action: AttachmentAction.FILE_UPLOAD
+	}
+];
+
+export const ATTACHMENT_EXTRA_ITEMS: AttachmentMenuItem[] = [
+	{
+		id: AttachmentMenuItemId.SYSTEM_MESSAGE,
+		label: 'System Message',
+		icon: MessageSquare,
+		enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
+		hasEnabledTooltip: true,
+		action: AttachmentAction.SYSTEM_PROMPT_CLICK
+	}
+];
+
+export const ATTACHMENT_MCP_ITEMS: AttachmentMenuItem[] = [
+	{
+		id: AttachmentMenuItemId.MCP_PROMPT,
+		label: 'MCP Prompt',
+		icon: Zap,
+		enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
+		action: AttachmentAction.MCP_PROMPT_CLICK,
+		visibleWhen: AttachmentItemVisibleWhen.HAS_MCP_PROMPTS_SUPPORT
+	},
+	{
+		id: AttachmentMenuItemId.MCP_RESOURCES,
+		label: 'MCP Resources',
+		icon: FolderOpen,
+		enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
+		action: AttachmentAction.MCP_RESOURCES_CLICK,
+		visibleWhen: AttachmentItemVisibleWhen.HAS_MCP_RESOURCES_SUPPORT
+	}
+];
+
+export const ATTACHMENT_TOOLTIP_TEXT = 'Add files, prompts, tools or MCP Servers';
diff --git a/tools/server/webui/src/lib/constants/chat-form.ts b/tools/server/webui/src/lib/constants/chat-form.ts
index 68b4d0b90..05ab8c1f8 100644
--- a/tools/server/webui/src/lib/constants/chat-form.ts
+++ b/tools/server/webui/src/lib/constants/chat-form.ts
@@ -3,3 +3,4 @@ export const PROMPT_CONTENT_SEPARATOR = '\n\n';
 export const CLIPBOARD_CONTENT_QUOTE_PREFIX = '"';
 export const PROMPT_TRIGGER_PREFIX = '/';
 export const RESOURCE_TRIGGER_PREFIX = '@';
+export const NEW_CHAT_DRAFT_KEY = '__new_chat__';
diff --git a/tools/server/webui/src/lib/constants/context-keys.ts b/tools/server/webui/src/lib/constants/context-keys.ts
index ba61d25e8..12de0d0bc 100644
--- a/tools/server/webui/src/lib/constants/context-keys.ts
+++ b/tools/server/webui/src/lib/constants/context-keys.ts
@@ -1,3 +1,4 @@
 export const CONTEXT_KEY_MESSAGE_EDIT = 'chat-message-edit';
 export const CONTEXT_KEY_CHAT_ACTIONS = 'chat-actions';
-export const CONTEXT_KEY_CHAT_SETTINGS_DIALOG = 'chat-settings-dialog';
+export const CONTEXT_KEY_CHAT_SETTINGS_CONFIG = 'chat-settings-config';
+export const CONTEXT_KEY_PROCESSING_INFO = 'processing-info';
diff --git a/tools/server/webui/src/lib/constants/favicon.ts b/tools/server/webui/src/lib/constants/favicon.ts
deleted file mode 100644
index 880e1f744..000000000
--- a/tools/server/webui/src/lib/constants/favicon.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export const GOOGLE_FAVICON_BASE_URL = 'https://www.google.com/s2/favicons';
-export const DEFAULT_FAVICON_SIZE = 32;
-export const DOMAIN_SEPARATOR = '.';
-export const ROOT_DOMAIN_MIN_PARTS = 2;
diff --git a/tools/server/webui/src/lib/constants/index.ts b/tools/server/webui/src/lib/constants/index.ts
index 70bed50a6..715f16e95 100644
--- a/tools/server/webui/src/lib/constants/index.ts
+++ b/tools/server/webui/src/lib/constants/index.ts
@@ -4,6 +4,7 @@
 export * from './agentic';
 export * from './api-endpoints';
 export * from './attachment-labels';
+export * from './attachment-menu';
 export * from './auto-scroll';
 export * from './binary-detection';
 export * from './cache';
@@ -12,7 +13,6 @@ export * from './code-blocks';
 export * from './code';
 export * from './context-keys';
 export * from './css-classes';
-export * from './favicon';
 export * from './floating-ui-constraints';
 export * from './formatters';
 export * from './key-value-pairs';
@@ -35,7 +35,9 @@ export * from './settings-keys';
 export * from './settings-sections';
 export * from './supported-file-types';
 export * from './table-html-restorer';
+export * from './tools';
 export * from './tooltip-config';
 export * from './ui';
 export * from './uri-template';
+export * from './url';
 export * from './viewport';
diff --git a/tools/server/webui/src/lib/constants/localstorage-keys.ts b/tools/server/webui/src/lib/constants/localstorage-keys.ts
index 2a2b629fd..a04194c46 100644
--- a/tools/server/webui/src/lib/constants/localstorage-keys.ts
+++ b/tools/server/webui/src/lib/constants/localstorage-keys.ts
@@ -1,4 +1,6 @@
+export const ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY = 'LlamaCppWebui.alwaysAllowedTools';
 export const CONFIG_LOCALSTORAGE_KEY = 'LlamaCppWebui.config';
-export const USER_OVERRIDES_LOCALSTORAGE_KEY = 'LlamaCppWebui.userOverrides';
+export const DISABLED_TOOLS_LOCALSTORAGE_KEY = 'LlamaCppWebui.disabledTools';
 export const FAVORITE_MODELS_LOCALSTORAGE_KEY = 'LlamaCppWebui.favoriteModels';
 export const MCP_DEFAULT_ENABLED_LOCALSTORAGE_KEY = 'LlamaCppWebui.mcpDefaultEnabled';
+export const USER_OVERRIDES_LOCALSTORAGE_KEY = 'LlamaCppWebui.userOverrides';
diff --git a/tools/server/webui/src/lib/constants/mcp.ts b/tools/server/webui/src/lib/constants/mcp.ts
index 8f10b15e1..ea8ad3456 100644
--- a/tools/server/webui/src/lib/constants/mcp.ts
+++ b/tools/server/webui/src/lib/constants/mcp.ts
@@ -13,7 +13,9 @@ export const MCP_ALLOWED_ICON_MIME_TYPES = new Set([
 	MimeTypeImage.JPEG,
 	MimeTypeImage.JPG,
 	MimeTypeImage.SVG,
-	MimeTypeImage.WEBP
+	MimeTypeImage.WEBP,
+	MimeTypeImage.ICO,
+	MimeTypeImage.ICO_MICROSOFT
 ]);
 
 /**
@@ -40,7 +42,7 @@ export const MCP_RECONNECT_MAX_DELAY = 30000;
 export const MCP_RECONNECT_ATTEMPT_TIMEOUT_MS = 15_000;
 
 /** Maximum number of MCP server avatars to display in the chat form */
-export const MAX_DISPLAYED_MCP_AVATARS = 3;
+export const MAX_DISPLAYED_MCP_AVATARS = 4;
 
 /** Expected count when two theme-less icons represent a light/dark pair */
 export const EXPECTED_THEMED_ICON_PAIR_COUNT = 2;
@@ -48,6 +50,26 @@ export const EXPECTED_THEMED_ICON_PAIR_COUNT = 2;
 /** CORS proxy URL query parameter name */
 export const CORS_PROXY_URL_PARAM = 'url';
 
+/** Number of trailing characters to keep visible when partially redacting mcp-session-id */
+export const MCP_SESSION_ID_VISIBLE_CHARS = 5;
+
+/** Partial-redaction rules for MCP headers: header name -> visible trailing chars */
+export const MCP_PARTIAL_REDACT_HEADERS = new Map<string, number>([
+	['mcp-session-id', MCP_SESSION_ID_VISIBLE_CHARS]
+]);
+
+/** Header names whose values should be redacted in diagnostic logs */
+export const REDACTED_HEADERS = new Set([
+	'authorization',
+	'api-key',
+	'cookie',
+	'mcp-session-id',
+	'proxy-authorization',
+	'set-cookie',
+	'x-auth-token',
+	'x-api-key'
+]);
+
 /** Human-readable labels for MCP transport types */
 export const MCP_TRANSPORT_LABELS: Record<MCPTransportType, string> = {
 	[MCPTransportType.WEBSOCKET]: 'WebSocket',
diff --git a/tools/server/webui/src/lib/constants/settings-config.ts b/tools/server/webui/src/lib/constants/settings-config.ts
index 0b05984df..eb20a853c 100644
--- a/tools/server/webui/src/lib/constants/settings-config.ts
+++ b/tools/server/webui/src/lib/constants/settings-config.ts
@@ -8,13 +8,14 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean |
 	systemMessage: '',
 	showSystemMessage: true,
 	theme: ColorMode.SYSTEM,
-	showThoughtInProgress: false,
+	showThoughtInProgress: true,
 	disableReasoningParsing: false,
 	excludeReasoningFromContext: false,
 	showRawOutputSwitch: false,
 	keepStatsVisible: false,
 	showMessageStats: true,
 	askForTitleConfirmation: false,
+	titleGenerationUseFirstLine: false,
 	pasteLongTextToFileLen: 2500,
 	copyTextAttachmentsAsPlainText: false,
 	pdfAsImage: false,
@@ -22,6 +23,7 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean |
 	renderUserContentAsMarkdown: false,
 	alwaysShowSidebarOnDesktop: false,
 	autoShowSidebarOnNewChat: true,
+	sendOnEnter: true,
 	autoMicOnEmpty: false,
 	fullHeightCodeBlocks: false,
 	showRawModelNames: false,
@@ -56,6 +58,7 @@ export const SETTING_CONFIG_DEFAULT: Record<string, string | number | boolean |
 	dry_penalty_last_n: undefined,
 	max_tokens: undefined,
 	custom: '', // custom json-stringified object
+	preEncodeConversation: false,
 	// experimental features
 	pyInterpreterEnabled: false,
 	enableContinueGeneration: false
@@ -106,9 +109,9 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 	custom: 'Custom JSON parameters to send to the API. Must be valid JSON format.',
 	showThoughtInProgress: 'Expand thought process by default when generating messages.',
 	disableReasoningParsing:
-		'Send reasoning_format=none to prevent server-side extraction of reasoning tokens into separate field',
+		'Send reasoning_format=none so the server returns thinking tokens inline instead of extracting them into a separate field.',
 	excludeReasoningFromContext:
-		'Strip reasoning content from previous messages before sending to the model. When unchecked, reasoning is sent back via the reasoning_content field so the model can see its own chain-of-thought across turns.',
+		'Strip thinking from previous messages before sending. When off, thinking is sent back via the reasoning_content field so the model sees its own chain-of-thought across turns.',
 	showRawOutputSwitch:
 		'Show toggle button to display messages as plain text instead of Markdown-formatted content',
 	keepStatsVisible: 'Keep processing statistics visible after generation finishes.',
@@ -116,6 +119,8 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Display generation statistics (tokens/second, token count, duration) below each assistant message.',
 	askForTitleConfirmation:
 		'Ask for confirmation before automatically changing conversation title when editing the first message.',
+	titleGenerationUseFirstLine:
+		'Use only the first non-empty line of the prompt to generate the conversation title.',
 	pdfAsImage:
 		'Parse PDF as image instead of text. Automatically falls back to text processing for non-vision models.',
 	disableAutoScroll:
@@ -125,6 +130,8 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Always keep the sidebar visible on desktop instead of auto-hiding it.',
 	autoShowSidebarOnNewChat:
 		'Automatically show sidebar when starting a new chat. Disable to keep the sidebar hidden until you click on it.',
+	sendOnEnter:
+		'Use Enter to send messages and Shift + Enter for new lines. When disabled, use Ctrl/Cmd + Enter.',
 	autoMicOnEmpty:
 		'Automatically show microphone button instead of send button when textarea is empty for models with audio modality support.',
 	fullHeightCodeBlocks:
@@ -143,6 +150,8 @@ export const SETTING_CONFIG_INFO: Record<string, string> = {
 		'Automatically expand tool call details while executing and keep them expanded after completion.',
 	pyInterpreterEnabled:
 		'Enable Python interpreter using Pyodide. Allows running Python code in markdown code blocks.',
+	preEncodeConversation:
+		'After each response, re-submit the conversation to pre-fill the server KV cache. Makes the next turn faster since the prompt is already encoded while you read the response.',
 	enableContinueGeneration:
 		'Enable "Continue" button for assistant messages. Currently works only with non-reasoning models.'
 };
diff --git a/tools/server/webui/src/lib/constants/settings-keys.ts b/tools/server/webui/src/lib/constants/settings-keys.ts
index c8b4b503a..f0ea67f7b 100644
--- a/tools/server/webui/src/lib/constants/settings-keys.ts
+++ b/tools/server/webui/src/lib/constants/settings-keys.ts
@@ -11,9 +11,11 @@ export const SETTINGS_KEYS = {
 	SYSTEM_MESSAGE: 'systemMessage',
 	PASTE_LONG_TEXT_TO_FILE_LEN: 'pasteLongTextToFileLen',
 	COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT: 'copyTextAttachmentsAsPlainText',
+	SEND_ON_ENTER: 'sendOnEnter',
 	ENABLE_CONTINUE_GENERATION: 'enableContinueGeneration',
 	PDF_AS_IMAGE: 'pdfAsImage',
 	ASK_FOR_TITLE_CONFIRMATION: 'askForTitleConfirmation',
+	TITLE_GENERATION_USE_FIRST_LINE: 'titleGenerationUseFirstLine',
 	// Display
 	SHOW_MESSAGE_STATS: 'showMessageStats',
 	SHOW_THOUGHT_IN_PROGRESS: 'showThoughtInProgress',
@@ -22,7 +24,6 @@ export const SETTINGS_KEYS = {
 	RENDER_USER_CONTENT_AS_MARKDOWN: 'renderUserContentAsMarkdown',
 	DISABLE_AUTO_SCROLL: 'disableAutoScroll',
 	ALWAYS_SHOW_SIDEBAR_ON_DESKTOP: 'alwaysShowSidebarOnDesktop',
-	AUTO_SHOW_SIDEBAR_ON_NEW_CHAT: 'autoShowSidebarOnNewChat',
 	FULL_HEIGHT_CODE_BLOCKS: 'fullHeightCodeBlocks',
 	SHOW_RAW_MODEL_NAMES: 'showRawModelNames',
 	// Sampling
@@ -52,6 +53,8 @@ export const SETTINGS_KEYS = {
 	ALWAYS_SHOW_AGENTIC_TURNS: 'alwaysShowAgenticTurns',
 	AGENTIC_MAX_TOOL_PREVIEW_LINES: 'agenticMaxToolPreviewLines',
 	SHOW_TOOL_CALL_IN_PROGRESS: 'showToolCallInProgress',
+	// Performance
+	PRE_ENCODE_CONVERSATION: 'preEncodeConversation',
 	// Developer
 	DISABLE_REASONING_PARSING: 'disableReasoningParsing',
 	EXCLUDE_REASONING_FROM_CONTEXT: 'excludeReasoningFromContext',
diff --git a/tools/server/webui/src/lib/constants/settings-sections.ts b/tools/server/webui/src/lib/constants/settings-sections.ts
index a2d960d40..d88638ce6 100644
--- a/tools/server/webui/src/lib/constants/settings-sections.ts
+++ b/tools/server/webui/src/lib/constants/settings-sections.ts
@@ -9,11 +9,329 @@ export const SETTINGS_SECTION_TITLES = {
 	DISPLAY: 'Display',
 	SAMPLING: 'Sampling',
 	PENALTIES: 'Penalties',
-	IMPORT_EXPORT: 'Import/Export',
+	AGENTIC: 'Agentic',
+	TOOLS: 'Tools',
 	MCP: 'MCP',
+	IMPORT_EXPORT: 'Import/Export',
 	DEVELOPER: 'Developer'
 } as const;
 
 /** Type for settings section titles */
 export type SettingsSectionTitle =
 	(typeof SETTINGS_SECTION_TITLES)[keyof typeof SETTINGS_SECTION_TITLES];
+
+import {
+	Funnel,
+	AlertTriangle,
+	Code,
+	Monitor,
+	ListRestart,
+	Sliders,
+	PencilRuler,
+	Database
+} from '@lucide/svelte';
+import { SettingsFieldType } from '$lib/enums/settings';
+import { SETTINGS_COLOR_MODES_CONFIG } from '$lib/constants/settings-config';
+import { SETTINGS_KEYS } from '$lib/constants/settings-keys';
+import type { Component } from 'svelte';
+
+export interface SettingsSection {
+	fields?: SettingsFieldConfig[];
+	icon: Component;
+	slug: string;
+	title: SettingsSectionTitle;
+}
+
+export const SETTINGS_CHAT_SECTIONS: SettingsSection[] = [
+	{
+		title: SETTINGS_SECTION_TITLES.GENERAL,
+		slug: 'general',
+		icon: Sliders,
+		fields: [
+			{
+				key: SETTINGS_KEYS.THEME,
+				label: 'Theme',
+				type: SettingsFieldType.SELECT,
+				options: SETTINGS_COLOR_MODES_CONFIG
+			},
+			{ key: SETTINGS_KEYS.API_KEY, label: 'API Key', type: SettingsFieldType.INPUT },
+			{
+				key: SETTINGS_KEYS.SYSTEM_MESSAGE,
+				label: 'System Message',
+				type: SettingsFieldType.TEXTAREA
+			},
+			{
+				key: SETTINGS_KEYS.PASTE_LONG_TEXT_TO_FILE_LEN,
+				label: 'Paste long text to file length',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.SEND_ON_ENTER,
+				label: 'Send message on Enter',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.COPY_TEXT_ATTACHMENTS_AS_PLAIN_TEXT,
+				label: 'Copy text attachments as plain text',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.ENABLE_CONTINUE_GENERATION,
+				label: 'Enable "Continue" button',
+				type: SettingsFieldType.CHECKBOX,
+				isExperimental: true
+			},
+			{
+				key: SETTINGS_KEYS.PDF_AS_IMAGE,
+				label: 'Parse PDF as image',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.ASK_FOR_TITLE_CONFIRMATION,
+				label: 'Ask for confirmation before changing conversation title',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.TITLE_GENERATION_USE_FIRST_LINE,
+				label: 'Use first non-empty line for conversation title',
+				type: SettingsFieldType.CHECKBOX
+			}
+		]
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.DISPLAY,
+		slug: 'display',
+		icon: Monitor,
+		fields: [
+			{
+				key: SETTINGS_KEYS.SHOW_MESSAGE_STATS,
+				label: 'Show message generation statistics',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.SHOW_THOUGHT_IN_PROGRESS,
+				label: 'Show thought in progress',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.SHOW_TOOL_CALL_IN_PROGRESS,
+				label: 'Show tool call in progress',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.KEEP_STATS_VISIBLE,
+				label: 'Keep stats visible after generation',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.AUTO_MIC_ON_EMPTY,
+				label: 'Show microphone on empty input',
+				type: SettingsFieldType.CHECKBOX,
+				isExperimental: true
+			},
+			{
+				key: SETTINGS_KEYS.RENDER_USER_CONTENT_AS_MARKDOWN,
+				label: 'Render user content as Markdown',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,
+				label: 'Use full height code blocks',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.DISABLE_AUTO_SCROLL,
+				label: 'Disable automatic scroll',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.ALWAYS_SHOW_SIDEBAR_ON_DESKTOP,
+				label: 'Always show sidebar on desktop',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.SHOW_RAW_MODEL_NAMES,
+				label: 'Show raw model names',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.ALWAYS_SHOW_AGENTIC_TURNS,
+				label: 'Always show agentic turns in conversation',
+				type: SettingsFieldType.CHECKBOX
+			}
+		]
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.SAMPLING,
+		slug: 'sampling',
+		icon: Funnel,
+		fields: [
+			{
+				key: SETTINGS_KEYS.TEMPERATURE,
+				label: 'Temperature',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DYNATEMP_RANGE,
+				label: 'Dynamic temperature range',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DYNATEMP_EXPONENT,
+				label: 'Dynamic temperature exponent',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.TOP_K,
+				label: 'Top K',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.TOP_P,
+				label: 'Top P',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.MIN_P,
+				label: 'Min P',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.XTC_PROBABILITY,
+				label: 'XTC probability',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.XTC_THRESHOLD,
+				label: 'XTC threshold',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.TYP_P,
+				label: 'Typical P',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.MAX_TOKENS,
+				label: 'Max tokens',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.SAMPLERS,
+				label: 'Samplers',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.BACKEND_SAMPLING,
+				label: 'Backend sampling',
+				type: SettingsFieldType.CHECKBOX
+			}
+		]
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.PENALTIES,
+		slug: 'penalties',
+		icon: AlertTriangle,
+		fields: [
+			{
+				key: SETTINGS_KEYS.REPEAT_LAST_N,
+				label: 'Repeat last N',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.REPEAT_PENALTY,
+				label: 'Repeat penalty',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.PRESENCE_PENALTY,
+				label: 'Presence penalty',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.FREQUENCY_PENALTY,
+				label: 'Frequency penalty',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DRY_MULTIPLIER,
+				label: 'DRY multiplier',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DRY_BASE,
+				label: 'DRY base',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DRY_ALLOWED_LENGTH,
+				label: 'DRY allowed length',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.DRY_PENALTY_LAST_N,
+				label: 'DRY penalty last N',
+				type: SettingsFieldType.INPUT
+			}
+		]
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.AGENTIC,
+		slug: 'agentic',
+		icon: ListRestart,
+		fields: [
+			{
+				key: SETTINGS_KEYS.AGENTIC_MAX_TURNS,
+				label: 'Agentic turns',
+				type: SettingsFieldType.INPUT
+			},
+			{
+				key: SETTINGS_KEYS.AGENTIC_MAX_TOOL_PREVIEW_LINES,
+				label: 'Max lines per tool preview',
+				type: SettingsFieldType.INPUT
+			}
+		]
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.TOOLS,
+		slug: 'tools',
+		icon: PencilRuler
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.IMPORT_EXPORT,
+		slug: 'import-export',
+		icon: Database
+	},
+	{
+		title: SETTINGS_SECTION_TITLES.DEVELOPER,
+		slug: 'developer',
+		icon: Code,
+		fields: [
+			{
+				key: SETTINGS_KEYS.PRE_ENCODE_CONVERSATION,
+				label: 'Pre-fill KV cache after response',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.DISABLE_REASONING_PARSING,
+				label: 'Disable reasoning content parsing',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.EXCLUDE_REASONING_FROM_CONTEXT,
+				label: 'Exclude reasoning from context',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.SHOW_RAW_OUTPUT_SWITCH,
+				label: 'Enable raw output toggle',
+				type: SettingsFieldType.CHECKBOX
+			},
+			{
+				key: SETTINGS_KEYS.CUSTOM,
+				label: 'Custom JSON',
+				type: SettingsFieldType.TEXTAREA
+			}
+		]
+	}
+];
diff --git a/tools/server/webui/src/lib/constants/tools.ts b/tools/server/webui/src/lib/constants/tools.ts
new file mode 100644
index 000000000..22b22309c
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/tools.ts
@@ -0,0 +1,11 @@
+import { ToolSource } from '$lib/enums/tools';
+
+export const TOOL_GROUP_LABELS = {
+	[ToolSource.BUILTIN]: 'Built-in',
+	[ToolSource.CUSTOM]: 'JSON Schema'
+} as const;
+
+export const TOOL_SERVER_LABELS = {
+	[ToolSource.BUILTIN]: 'Built-in Tools',
+	[ToolSource.CUSTOM]: 'Custom Tools'
+} as const;
diff --git a/tools/server/webui/src/lib/constants/ui.ts b/tools/server/webui/src/lib/constants/ui.ts
index be9c50d07..59a0a7fbd 100644
--- a/tools/server/webui/src/lib/constants/ui.ts
+++ b/tools/server/webui/src/lib/constants/ui.ts
@@ -1,2 +1,36 @@
+import { Settings, Search, SquarePen } from '@lucide/svelte';
+import McpLogo from '$lib/components/app/mcp/McpLogo.svelte';
+import type { Component } from 'svelte';
+
 export const FORK_TREE_DEPTH_PADDING = 8;
 export const SYSTEM_MESSAGE_PLACEHOLDER = 'System message';
+export const APP_NAME = import.meta.env.VITE_PUBLIC_APP_NAME || 'llama.cpp';
+
+export const ICON_STRIP_TRANSITION_DURATION = 150;
+export const ICON_STRIP_TRANSITION_DELAY_MULTIPLIER = 50;
+
+export interface DesktopIconStripItem {
+	icon: Component;
+	tooltip: string;
+	route?: string;
+	activeRouteId?: string;
+	activeRoutePrefix?: string;
+	keys?: string[];
+}
+
+export const SIDEBAR_ACTIONS_ITEMS: DesktopIconStripItem[] = [
+	{ icon: SquarePen, tooltip: 'New chat', route: '?new_chat=true#/', keys: ['shift', 'cmd', 'o'] },
+	{ icon: Search, tooltip: 'Search', keys: ['cmd', 'k'] },
+	{
+		icon: McpLogo,
+		tooltip: 'MCP Servers',
+		route: '#/settings/mcp',
+		activeRouteId: '/settings/mcp'
+	},
+	{
+		icon: Settings,
+		tooltip: 'Settings',
+		route: '#/settings/chat/general',
+		activeRoutePrefix: '/settings/chat'
+	}
+];
diff --git a/tools/server/webui/src/lib/constants/url.ts b/tools/server/webui/src/lib/constants/url.ts
new file mode 100644
index 000000000..0afb9decc
--- /dev/null
+++ b/tools/server/webui/src/lib/constants/url.ts
@@ -0,0 +1,186 @@
+const STD = ['com', 'net', 'org', 'gov', 'edu'] as const;
+
+const STD_MIL = [...STD, 'mil'] as const;
+
+const ccTLD_PREFIXES: Record<string, readonly string[]> = {
+	// --- Standard 5 only ---
+	ar: STD,
+	bd: STD,
+	bg: STD,
+	cn: STD_MIL,
+	eg: STD,
+	gr: STD,
+	hk: STD,
+	hr: STD,
+	lk: STD,
+	mx: STD_MIL,
+	my: STD_MIL,
+	ng: STD,
+	ph: STD,
+	pk: STD,
+	pl: STD,
+	ro: STD,
+	ru: STD,
+	sa: STD,
+	si: STD,
+	tr: STD,
+	tw: STD,
+	ua: STD,
+	ve: STD,
+
+	au: [...STD_MIL, 'id', 'asn', 'csiro'],
+	br: [
+		...STD_MIL,
+		'art',
+		'eco',
+		'eng',
+		'inf',
+		'med',
+		'psi',
+		'tmp',
+		'etc',
+		'adm',
+		'adv',
+		'arq',
+		'bio',
+		'bmd',
+		'cim',
+		'cng',
+		'cnt',
+		'coop',
+		'ecn',
+		'esp',
+		'far',
+		'fm',
+		'fnd',
+		'fot',
+		'fst',
+		'g12',
+		'ggf',
+		'imb',
+		'ind',
+		'jor',
+		'jus',
+		'leg',
+		'lel',
+		'mat',
+		'mp',
+		'mus',
+		'not',
+		'ntr',
+		'odo',
+		'ppg',
+		'pro',
+		'psc',
+		'qsl',
+		'rec',
+		'slg',
+		'srv',
+		'trd',
+		'tur',
+		'tv',
+		'vet',
+		'vlog',
+		'wiki',
+		'zlg'
+	],
+	id: [...STD_MIL, 'co', 'go', 'or', 'web', 'sch'],
+	in: [...STD_MIL, 'co', 'gen', 'ind', 'firm', 'ernet', 'nic'],
+	kr: [...STD_MIL, 'co', 'go', 'or', 'ac', 're'],
+	nz: [
+		...STD_MIL,
+		'co',
+		'gen',
+		'geek',
+		'kiwi',
+		'maori',
+		'school',
+		'govt',
+		'health',
+		'iwi',
+		'parliament'
+	],
+	sg: [...STD, 'per'],
+	th: ['co', 'go', 'or', 'in', 'ac', 'mi', 'net'],
+
+	ae: ['co', 'net', 'org', 'gov', 'ac', 'sch'],
+	hu: ['co', 'net', 'org', 'gov', 'edu'],
+	il: ['co', 'net', 'org', 'gov', 'ac', 'muni'],
+	jp: ['ac', 'ad', 'co', 'ed', 'go', 'gr', 'lg', 'ne', 'or'],
+	ke: ['co', 'or', 'ne', 'go', 'ac', 'sc'],
+	rs: ['co', 'net', 'org', 'gov', 'edu'],
+	uk: ['co', 'org', 'net', 'ac', 'gov', 'mil', 'nhs', 'police', 'mod', 'ltd', 'plc', 'me', 'sch'],
+	za: ['co', 'org', 'net', 'web', 'law', 'mil']
+};
+
+const WILDCARD_BASES: Record<string, readonly string[]> = {
+	br: ['nom', 'blog'],
+	jp: [
+		'kobe',
+		'kyoto',
+		'nagoya',
+		'osaka',
+		'sapporo',
+		'sendai',
+		'tokyo',
+		'yokohama',
+		'aichi',
+		'akita',
+		'aomori',
+		'chiba',
+		'ehime',
+		'fukui',
+		'fukuoka',
+		'fukushima',
+		'gifu',
+		'gunma',
+		'hiroshima',
+		'hokkaido',
+		'hyogo',
+		'ibaraki',
+		'ishikawa',
+		'iwate',
+		'kagawa',
+		'kagoshima',
+		'kanagawa',
+		'kochi',
+		'kumamoto',
+		'mie',
+		'miyagi',
+		'miyazaki',
+		'nagano',
+		'nara',
+		'niigata',
+		'oita',
+		'okayama',
+		'okinawa',
+		'saga',
+		'saitama',
+		'shiga',
+		'shimane',
+		'shizuoka',
+		'tochigi',
+		'tokushima',
+		'tottori',
+		'toyama',
+		'wakayama',
+		'yamagata',
+		'yamaguchi',
+		'yamanashi'
+	]
+};
+
+function buildSuffixSet(suffixes: Record<string, readonly string[]>): Set<string> {
+	const set = new Set<string>();
+
+	for (const [tld, parts] of Object.entries(suffixes)) {
+		for (const part of parts) {
+			set.add(`${part}.${tld}`);
+		}
+	}
+
+	return set;
+}
+
+export const TWO_PART_PUBLIC_SUFFIXES = buildSuffixSet(ccTLD_PREFIXES);
+export const WILDCARD_PUBLIC_SUFFIXES = buildSuffixSet(WILDCARD_BASES);
diff --git a/tools/server/webui/src/lib/contexts/chat-settings-config.context.ts b/tools/server/webui/src/lib/contexts/chat-settings-config.context.ts
new file mode 100644
index 000000000..35941e09b
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/chat-settings-config.context.ts
@@ -0,0 +1,20 @@
+import { getContext, setContext } from 'svelte';
+import { CONTEXT_KEY_CHAT_SETTINGS_CONFIG } from '$lib/constants';
+
+export interface ChatSettingsConfigContext {
+	readonly localConfig: SettingsConfigType;
+	handleConfigChange: (key: string, value: string | boolean) => void;
+	handleThemeChange: (theme: string) => void;
+}
+
+const CHAT_SETTINGS_CONFIG_KEY = Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_CONFIG);
+
+export function setChatSettingsConfigContext(
+	ctx: ChatSettingsConfigContext
+): ChatSettingsConfigContext {
+	return setContext(CHAT_SETTINGS_CONFIG_KEY, ctx);
+}
+
+export function getChatSettingsConfigContext(): ChatSettingsConfigContext {
+	return getContext(CHAT_SETTINGS_CONFIG_KEY);
+}
diff --git a/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts b/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts
deleted file mode 100644
index 3f98c3c0e..000000000
--- a/tools/server/webui/src/lib/contexts/chat-settings-dialog.context.ts
+++ /dev/null
@@ -1,19 +0,0 @@
-import { getContext, setContext } from 'svelte';
-import type { SettingsSectionTitle } from '$lib/constants';
-import { CONTEXT_KEY_CHAT_SETTINGS_DIALOG } from '$lib/constants';
-
-export interface ChatSettingsDialogContext {
-	open: (initialSection?: SettingsSectionTitle) => void;
-}
-
-const CHAT_SETTINGS_DIALOG_KEY = Symbol.for(CONTEXT_KEY_CHAT_SETTINGS_DIALOG);
-
-export function setChatSettingsDialogContext(
-	ctx: ChatSettingsDialogContext
-): ChatSettingsDialogContext {
-	return setContext(CHAT_SETTINGS_DIALOG_KEY, ctx);
-}
-
-export function getChatSettingsDialogContext(): ChatSettingsDialogContext {
-	return getContext(CHAT_SETTINGS_DIALOG_KEY);
-}
diff --git a/tools/server/webui/src/lib/contexts/index.ts b/tools/server/webui/src/lib/contexts/index.ts
index 6c69070d8..01cd1d4b7 100644
--- a/tools/server/webui/src/lib/contexts/index.ts
+++ b/tools/server/webui/src/lib/contexts/index.ts
@@ -13,7 +13,13 @@ export {
 } from './chat-actions.context';
 
 export {
-	getChatSettingsDialogContext,
-	setChatSettingsDialogContext,
-	type ChatSettingsDialogContext
-} from './chat-settings-dialog.context';
+	getChatSettingsConfigContext,
+	setChatSettingsConfigContext,
+	type ChatSettingsConfigContext
+} from './chat-settings-config.context';
+
+export {
+	getProcessingInfoContext,
+	setProcessingInfoContext,
+	type ProcessingInfoContext
+} from './processing-info.context';
diff --git a/tools/server/webui/src/lib/contexts/message-edit.context.ts b/tools/server/webui/src/lib/contexts/message-edit.context.ts
index 2d344cca5..b6231f940 100644
--- a/tools/server/webui/src/lib/contexts/message-edit.context.ts
+++ b/tools/server/webui/src/lib/contexts/message-edit.context.ts
@@ -1,5 +1,6 @@
 import { getContext, setContext } from 'svelte';
 import { CONTEXT_KEY_MESSAGE_EDIT } from '$lib/constants';
+import { MessageRole } from '$lib/enums';
 
 export interface MessageEditState {
 	readonly isEditing: boolean;
@@ -9,6 +10,10 @@ export interface MessageEditState {
 	readonly originalContent: string;
 	readonly originalExtras: DatabaseMessageExtra[];
 	readonly showSaveOnlyOption: boolean;
+	readonly showBranchAfterEditOption: boolean;
+	readonly shouldBranchAfterEdit: boolean;
+	readonly messageRole: MessageRole;
+	readonly rawEditContent?: string;
 }
 
 export interface MessageEditActions {
@@ -21,7 +26,13 @@ export interface MessageEditActions {
 	startEdit: () => void;
 }
 
-export type MessageEditContext = MessageEditState & MessageEditActions;
+export interface AssistantEditActions {
+	setShouldBranchAfterEdit: (value: boolean) => void;
+}
+
+export type MessageEditContext = MessageEditState &
+	MessageEditActions &
+	Partial<AssistantEditActions>;
 
 const MESSAGE_EDIT_KEY = Symbol.for(CONTEXT_KEY_MESSAGE_EDIT);
 
diff --git a/tools/server/webui/src/lib/contexts/processing-info.context.ts b/tools/server/webui/src/lib/contexts/processing-info.context.ts
new file mode 100644
index 000000000..0cf43336f
--- /dev/null
+++ b/tools/server/webui/src/lib/contexts/processing-info.context.ts
@@ -0,0 +1,16 @@
+import { getContext, setContext } from 'svelte';
+import { CONTEXT_KEY_PROCESSING_INFO } from '$lib/constants';
+
+export interface ProcessingInfoContext {
+	readonly showProcessingInfo: boolean;
+}
+
+const PROCESSING_INFO_KEY = Symbol.for(CONTEXT_KEY_PROCESSING_INFO);
+
+export function setProcessingInfoContext(ctx: ProcessingInfoContext): ProcessingInfoContext {
+	return setContext(PROCESSING_INFO_KEY, ctx);
+}
+
+export function getProcessingInfoContext(): ProcessingInfoContext {
+	return getContext(PROCESSING_INFO_KEY);
+}
diff --git a/tools/server/webui/src/lib/enums/attachment.ts b/tools/server/webui/src/lib/enums/attachment.ts
index 28863d7ef..49baf6bae 100644
--- a/tools/server/webui/src/lib/enums/attachment.ts
+++ b/tools/server/webui/src/lib/enums/attachment.ts
@@ -10,3 +10,44 @@ export enum AttachmentType {
 	TEXT = 'TEXT',
 	LEGACY_CONTEXT = 'context' // Legacy attachment type for backward compatibility
 }
+
+/**
+ * Unique identifiers for attachment menu items in the chat form action dropdowns.
+ * Used to select which file upload or attachment action is triggered.
+ */
+export enum AttachmentMenuItemId {
+	IMAGES = 'images',
+	AUDIO = 'audio',
+	TEXT = 'text',
+	PDF = 'pdf',
+	SYSTEM_MESSAGE = 'system-message',
+	MCP_PROMPT = 'mcp-prompt',
+	MCP_RESOURCES = 'mcp-resources'
+}
+
+/**
+ * Defines when an attachment menu item should be enabled.
+ */
+export enum AttachmentItemEnabledWhen {
+	ALWAYS = 'always',
+	HAS_VISION_MODALITY = 'hasVisionModality',
+	HAS_AUDIO_MODALITY = 'hasAudioModality'
+}
+
+/**
+ * Defines the callback action triggered when an attachment menu item is clicked.
+ */
+export enum AttachmentAction {
+	FILE_UPLOAD = 'onFileUpload',
+	SYSTEM_PROMPT_CLICK = 'onSystemPromptClick',
+	MCP_PROMPT_CLICK = 'onMcpPromptClick',
+	MCP_RESOURCES_CLICK = 'onMcpResourcesClick'
+}
+
+/**
+ * Visibility conditions for attachment menu items.
+ */
+export enum AttachmentItemVisibleWhen {
+	HAS_MCP_PROMPTS_SUPPORT = 'hasMcpPromptsSupport',
+	HAS_MCP_RESOURCES_SUPPORT = 'hasMcpResourcesSupport'
+}
diff --git a/tools/server/webui/src/lib/enums/chat.ts b/tools/server/webui/src/lib/enums/chat.ts
index 0b6f357d9..ff67436ab 100644
--- a/tools/server/webui/src/lib/enums/chat.ts
+++ b/tools/server/webui/src/lib/enums/chat.ts
@@ -49,3 +49,16 @@ export enum ErrorDialogType {
 	TIMEOUT = 'timeout',
 	SERVER = 'server'
 }
+
+export enum ConversationSelectionMode {
+	EXPORT = 'export',
+	IMPORT = 'import'
+}
+
+/**
+ * PDF view mode options for previewing PDF attachments.
+ */
+export enum PdfViewMode {
+	TEXT = 'text',
+	PAGES = 'pages'
+}
diff --git a/tools/server/webui/src/lib/enums/files.ts b/tools/server/webui/src/lib/enums/files.ts
index 7efe0c706..29e0a501a 100644
--- a/tools/server/webui/src/lib/enums/files.ts
+++ b/tools/server/webui/src/lib/enums/files.ts
@@ -182,7 +182,9 @@ export enum MimeTypeImage {
 	PNG = 'image/png',
 	GIF = 'image/gif',
 	WEBP = 'image/webp',
-	SVG = 'image/svg+xml'
+	SVG = 'image/svg+xml',
+	ICO = 'image/x-icon',
+	ICO_MICROSOFT = 'image/vnd.microsoft.icon'
 }
 
 export enum MimeTypeText {
diff --git a/tools/server/webui/src/lib/enums/index.ts b/tools/server/webui/src/lib/enums/index.ts
index 1711dd763..56e1d9f4a 100644
--- a/tools/server/webui/src/lib/enums/index.ts
+++ b/tools/server/webui/src/lib/enums/index.ts
@@ -1,13 +1,21 @@
-export { AttachmentType } from './attachment';
+export {
+	AttachmentType,
+	AttachmentMenuItemId,
+	AttachmentItemEnabledWhen,
+	AttachmentAction,
+	AttachmentItemVisibleWhen
+} from './attachment';
 
 export { AgenticSectionType, ToolCallType } from './agentic';
 
 export {
 	ChatMessageStatsView,
 	ContentPartType,
+	ConversationSelectionMode,
 	ErrorDialogType,
 	MessageRole,
 	MessageType,
+	PdfViewMode,
 	ReasoningFormat
 } from './chat';
 
@@ -47,6 +55,8 @@ export { ServerRole, ServerModelStatus } from './server';
 
 export { ParameterSource, SyncableParameterType, SettingsFieldType } from './settings';
 
-export { ColorMode, McpPromptVariant, UrlProtocol } from './ui';
+export { ColorMode, HtmlInputType, McpPromptVariant, TooltipSide, UrlProtocol } from './ui';
 
 export { KeyboardKey } from './keyboard';
+
+export { ToolSource, ToolPermissionDecision, ToolResponseField } from './tools';
diff --git a/tools/server/webui/src/lib/enums/keyboard.ts b/tools/server/webui/src/lib/enums/keyboard.ts
index bea68d790..46cd4a776 100644
--- a/tools/server/webui/src/lib/enums/keyboard.ts
+++ b/tools/server/webui/src/lib/enums/keyboard.ts
@@ -6,11 +6,14 @@ export enum KeyboardKey {
 	ESCAPE = 'Escape',
 	ARROW_UP = 'ArrowUp',
 	ARROW_DOWN = 'ArrowDown',
+	ARROW_LEFT = 'ArrowLeft',
+	ARROW_RIGHT = 'ArrowRight',
 	TAB = 'Tab',
 	D_LOWER = 'd',
 	D_UPPER = 'D',
 	E_UPPER = 'E',
 	K_LOWER = 'k',
+	O_LOWER = 'o',
 	O_UPPER = 'O',
 	SPACE = ' '
 }
diff --git a/tools/server/webui/src/lib/enums/tools.ts b/tools/server/webui/src/lib/enums/tools.ts
new file mode 100644
index 000000000..4b2cdab32
--- /dev/null
+++ b/tools/server/webui/src/lib/enums/tools.ts
@@ -0,0 +1,17 @@
+export enum ToolSource {
+	BUILTIN = 'builtin',
+	MCP = 'mcp',
+	CUSTOM = 'custom'
+}
+
+export enum ToolPermissionDecision {
+	ALWAYS = 'always',
+	ALWAYS_SERVER = 'always_server',
+	ONCE = 'once',
+	DENY = 'deny'
+}
+
+export enum ToolResponseField {
+	PLAIN_TEXT = 'plain_text_response',
+	ERROR = 'error'
+}
diff --git a/tools/server/webui/src/lib/enums/ui.ts b/tools/server/webui/src/lib/enums/ui.ts
index 37d458962..829963794 100644
--- a/tools/server/webui/src/lib/enums/ui.ts
+++ b/tools/server/webui/src/lib/enums/ui.ts
@@ -4,6 +4,13 @@ export enum ColorMode {
 	SYSTEM = 'system'
 }
 
+export enum TooltipSide {
+	TOP = 'top',
+	RIGHT = 'right',
+	BOTTOM = 'bottom',
+	LEFT = 'left'
+}
+
 /**
  * MCP prompt display variant
  */
@@ -17,8 +24,12 @@ export enum McpPromptVariant {
  */
 export enum UrlProtocol {
 	DATA = 'data:',
-	HTTP = 'http://',
-	HTTPS = 'https://',
-	WEBSOCKET = 'ws://',
-	WEBSOCKET_SECURE = 'wss://'
+	HTTP = 'http:',
+	HTTPS = 'https:',
+	WEBSOCKET = 'ws:',
+	WEBSOCKET_SECURE = 'wss:'
+}
+
+export enum HtmlInputType {
+	FILE = 'file'
 }
diff --git a/tools/server/webui/src/lib/hooks/use-attachment-menu.svelte.ts b/tools/server/webui/src/lib/hooks/use-attachment-menu.svelte.ts
new file mode 100644
index 000000000..ddb999485
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-attachment-menu.svelte.ts
@@ -0,0 +1,81 @@
+import { page } from '$app/state';
+import { AttachmentAction } from '$lib/enums';
+
+export interface AttachmentModalityFlags {
+	hasVisionModality: boolean;
+	hasAudioModality: boolean;
+	hasMcpPromptsSupport: boolean;
+	hasMcpResourcesSupport: boolean;
+}
+
+export interface AttachmentActionCallbacks {
+	onFileUpload?: () => void;
+	onSystemPromptClick?: () => void;
+	onMcpPromptClick?: () => void;
+	onMcpResourcesClick?: () => void;
+}
+
+export interface UseAttachmentMenuReturn {
+	readonly callbacks: Record<string, () => void>;
+	isItemEnabled(enabledWhen: string | undefined): boolean;
+	isItemVisible(visibleWhen: string | undefined): boolean;
+	getSystemMessageTooltip(): string;
+}
+
+/**
+ * useAttachmentMenu - Shared logic for attachment menu components.
+ *
+ * Encapsulates the modality-flag checks and callback wrapping that is
+ * identical across the desktop dropdown (`ChatFormActionAddDropdown`)
+ * and the mobile sheet (`ChatFormActionAddSheet`).
+ *
+ * @param getFlags   - Getter returning the current modality capability flags.
+ * @param getCallbacks - Getter returning the raw action callbacks from props.
+ * @param close      - Function that dismisses the hosting UI element (dropdown / sheet).
+ */
+export function useAttachmentMenu(
+	getFlags: () => AttachmentModalityFlags,
+	getCallbacks: () => AttachmentActionCallbacks,
+	close: () => void
+): UseAttachmentMenuReturn {
+	const modalityFlags = $derived(getFlags());
+
+	const callbacks = $derived.by(() => {
+		const cbs = getCallbacks();
+		const wrap = (fn?: () => void) => () => {
+			close();
+			fn?.();
+		};
+		return {
+			[AttachmentAction.FILE_UPLOAD]: wrap(cbs.onFileUpload),
+			[AttachmentAction.SYSTEM_PROMPT_CLICK]: wrap(cbs.onSystemPromptClick),
+			[AttachmentAction.MCP_PROMPT_CLICK]: wrap(cbs.onMcpPromptClick),
+			[AttachmentAction.MCP_RESOURCES_CLICK]: wrap(cbs.onMcpResourcesClick)
+		};
+	});
+
+	function isItemEnabled(enabledWhen: string | undefined): boolean {
+		if (!enabledWhen || enabledWhen === 'always') return true;
+		return !!modalityFlags[enabledWhen as keyof AttachmentModalityFlags];
+	}
+
+	function isItemVisible(visibleWhen: string | undefined): boolean {
+		if (!visibleWhen) return true;
+		return !!modalityFlags[visibleWhen as keyof AttachmentModalityFlags];
+	}
+
+	function getSystemMessageTooltip(): string {
+		return !page.params.id
+			? 'Add custom system message for a new conversation'
+			: 'Inject custom system message at the beginning of the conversation';
+	}
+
+	return {
+		get callbacks() {
+			return callbacks;
+		},
+		isItemEnabled,
+		isItemVisible,
+		getSystemMessageTooltip
+	};
+}
diff --git a/tools/server/webui/src/lib/hooks/use-draft-messages.svelte.ts b/tools/server/webui/src/lib/hooks/use-draft-messages.svelte.ts
new file mode 100644
index 000000000..11305b205
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-draft-messages.svelte.ts
@@ -0,0 +1,45 @@
+import { onMount } from 'svelte';
+import { afterNavigate, beforeNavigate } from '$app/navigation';
+import { draftMessagesStore } from '$lib/stores/draft-messages.svelte';
+
+interface UseDraftMessagesOptions {
+	getChatId: () => string | undefined;
+	getMessage: () => string;
+	getFiles: () => ChatUploadedFile[];
+	setMessage: (message: string) => void;
+	setFiles: (files: ChatUploadedFile[]) => void;
+	getInitialMessage: () => string;
+}
+
+export function useDraftMessages(options: UseDraftMessagesOptions) {
+	onMount(() => {
+		const chatId = options.getChatId();
+		const draft = draftMessagesStore.getDraftMessage(chatId);
+
+		if ((draft.message || draft.files.length > 0) && !options.getInitialMessage()) {
+			options.setMessage(draft.message);
+			options.setFiles(draft.files);
+		}
+	});
+
+	beforeNavigate(() => {
+		const chatId = options.getChatId();
+		draftMessagesStore.saveDraftMessage(chatId, options.getMessage(), options.getFiles());
+	});
+
+	afterNavigate((navigation) => {
+		if (navigation?.from != null) {
+			const chatId = options.getChatId();
+			const draft = draftMessagesStore.getDraftMessage(chatId);
+			options.setMessage(draft.message);
+			options.setFiles(draft.files);
+		}
+	});
+
+	function clearDraft() {
+		const chatId = options.getChatId();
+		draftMessagesStore.clearDraftMessage(chatId);
+	}
+
+	return { clearDraft };
+}
diff --git a/tools/server/webui/src/lib/hooks/use-keyboard-shortcuts.svelte.ts b/tools/server/webui/src/lib/hooks/use-keyboard-shortcuts.svelte.ts
new file mode 100644
index 000000000..3e93592e6
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-keyboard-shortcuts.svelte.ts
@@ -0,0 +1,59 @@
+import { goto } from '$app/navigation';
+import { KeyboardKey } from '$lib/enums';
+
+interface KeyboardShortcutsCallbacks {
+	activateSearchMode?: () => void;
+	editActiveConversation?: () => void;
+	onSearchActivated?: () => void;
+	deleteActiveConversation?: () => void;
+	navigateToPrevConversation?: () => void;
+	navigateToNextConversation?: () => void;
+}
+
+export function useKeyboardShortcuts(callbacks: KeyboardShortcutsCallbacks) {
+	function handleKeydown(event: KeyboardEvent) {
+		const isCmdOrCtrl = event.metaKey || event.ctrlKey;
+
+		if (isCmdOrCtrl && event.key === KeyboardKey.K_LOWER) {
+			event.preventDefault();
+			callbacks.activateSearchMode?.();
+			callbacks.onSearchActivated?.();
+		}
+
+		if (
+			isCmdOrCtrl &&
+			event.shiftKey &&
+			(event.key === KeyboardKey.O_LOWER || event.key === KeyboardKey.O_UPPER)
+		) {
+			event.preventDefault();
+
+			goto('?new_chat=true#/');
+		}
+
+		if (event.shiftKey && isCmdOrCtrl && event.key === KeyboardKey.E_UPPER) {
+			event.preventDefault();
+			callbacks.editActiveConversation?.();
+		}
+
+		if (
+			isCmdOrCtrl &&
+			event.shiftKey &&
+			(event.key === KeyboardKey.D_LOWER || event.key === KeyboardKey.D_UPPER)
+		) {
+			event.preventDefault();
+			callbacks.deleteActiveConversation?.();
+		}
+
+		if (isCmdOrCtrl && event.shiftKey && event.key === KeyboardKey.ARROW_UP) {
+			event.preventDefault();
+			callbacks.navigateToPrevConversation?.();
+		}
+
+		if (isCmdOrCtrl && event.shiftKey && event.key === KeyboardKey.ARROW_DOWN) {
+			event.preventDefault();
+			callbacks.navigateToNextConversation?.();
+		}
+	}
+
+	return { handleKeydown };
+}
diff --git a/tools/server/webui/src/lib/hooks/use-message-edit-context.svelte.ts b/tools/server/webui/src/lib/hooks/use-message-edit-context.svelte.ts
new file mode 100644
index 000000000..71d1b66f8
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-message-edit-context.svelte.ts
@@ -0,0 +1,99 @@
+import { setMessageEditContext } from '$lib/contexts';
+import { MessageRole } from '$lib/enums';
+import { parseFilesToMessageExtras } from '$lib/utils/convert-files-to-extra';
+
+interface UseMessageEditContextOptions {
+	getContent: () => string;
+	getExtras: () => DatabaseMessageExtra[];
+	showSaveOnlyOption?: boolean;
+	onSave: (content: string, extras?: DatabaseMessageExtra[]) => void;
+}
+
+export function useMessageEditContext(options: UseMessageEditContextOptions) {
+	let isEditing = $state(false);
+	let editedContent = $state('');
+	let editedExtras = $state<DatabaseMessageExtra[]>([]);
+	let editedUploadedFiles = $state<ChatUploadedFile[]>([]);
+
+	function handleEdit() {
+		editedContent = options.getContent();
+		editedExtras = [...options.getExtras()];
+		editedUploadedFiles = [];
+		isEditing = true;
+	}
+
+	async function handleSaveEdit() {
+		const trimmed = editedContent.trim();
+		if (!trimmed && editedExtras.length === 0 && editedUploadedFiles.length === 0) return;
+
+		let finalExtras: DatabaseMessageExtra[] = $state.snapshot(editedExtras);
+		if (editedUploadedFiles.length > 0) {
+			const plainFiles = $state.snapshot(editedUploadedFiles);
+			const result = await parseFilesToMessageExtras(plainFiles);
+			const newExtras = result?.extras || [];
+			finalExtras = [...finalExtras, ...newExtras];
+		}
+
+		options.onSave(trimmed, finalExtras.length > 0 ? finalExtras : undefined);
+		isEditing = false;
+	}
+
+	function handleCancelEdit() {
+		isEditing = false;
+	}
+
+	setMessageEditContext({
+		get isEditing() {
+			return isEditing;
+		},
+		get editedContent() {
+			return editedContent;
+		},
+		get editedExtras() {
+			return editedExtras;
+		},
+		get editedUploadedFiles() {
+			return editedUploadedFiles;
+		},
+		get originalContent() {
+			return options.getContent();
+		},
+		get originalExtras() {
+			return options.getExtras();
+		},
+		get showSaveOnlyOption() {
+			return options.showSaveOnlyOption ?? false;
+		},
+		get showBranchAfterEditOption() {
+			return false;
+		},
+		get shouldBranchAfterEdit() {
+			return false;
+		},
+		get messageRole() {
+			return MessageRole.USER;
+		},
+		setContent: (c: string) => {
+			editedContent = c;
+		},
+		setExtras: (e: DatabaseMessageExtra[]) => {
+			editedExtras = e;
+		},
+		setUploadedFiles: (f: ChatUploadedFile[]) => {
+			editedUploadedFiles = f;
+		},
+		save: handleSaveEdit,
+		saveOnly: handleSaveEdit,
+		cancel: handleCancelEdit,
+		startEdit: handleEdit
+	});
+
+	return {
+		get isEditing() {
+			return isEditing;
+		},
+		handleEdit,
+		handleSaveEdit,
+		handleCancelEdit
+	};
+}
diff --git a/tools/server/webui/src/lib/hooks/use-models-selector.svelte.ts b/tools/server/webui/src/lib/hooks/use-models-selector.svelte.ts
new file mode 100644
index 000000000..3ae4865cf
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-models-selector.svelte.ts
@@ -0,0 +1,252 @@
+import { onMount } from 'svelte';
+import {
+	modelsStore,
+	modelOptions,
+	modelsLoading,
+	modelsUpdating,
+	selectedModelId,
+	singleModelName
+} from '$lib/stores/models.svelte';
+import { isRouterMode } from '$lib/stores/server.svelte';
+import { filterModelOptions, groupModelOptions } from '$lib/components/app/models/utils';
+import type { ModelOption } from '$lib/types/models';
+
+export interface UseModelsSelectorOptions {
+	currentModel: () => string | null;
+	useGlobalSelection?: () => boolean;
+	onModelChange?: () =>
+		| ((modelId: string, modelName: string) => Promise<boolean> | boolean | void)
+		| undefined;
+	onOpenChange?: (open: boolean) => void;
+}
+
+export interface UseModelsSelectorReturn {
+	readonly options: ModelOption[];
+	readonly loading: boolean;
+	readonly updating: boolean;
+	readonly activeId: string | null;
+	readonly isRouter: boolean;
+	readonly serverModel: string | null;
+	readonly isHighlightedCurrentModelActive: boolean;
+	readonly isCurrentModelInCache: boolean;
+	readonly filteredOptions: ModelOption[];
+	readonly groupedFilteredOptions: ReturnType<typeof groupModelOptions>;
+	readonly isLoadingModel: boolean;
+	readonly searchTerm: string;
+	readonly showModelDialog: boolean;
+	readonly infoModelId: string | null;
+	setSearchTerm(value: string): void;
+	setShowModelDialog(value: boolean): void;
+	handleInfoClick(modelName: string): void;
+	handleSelect(modelId: string): Promise<void>;
+	handleOpenChange(open: boolean): void;
+	isFavorite(model: string): boolean;
+	getDisplayOption(): ModelOption | undefined;
+}
+
+/**
+ * Shared reactive state and logic for model selection.
+ *
+ * Used by both the desktop dropdown (`ModelsSelectorDropdown`)
+ * and the mobile sheet (`ModelsSelectorSheet`) to avoid
+ * duplicating store derivations, selection handling, and model loading.
+ */
+export function useModelsSelector(opts: UseModelsSelectorOptions): UseModelsSelectorReturn {
+	const options = $derived(
+		modelOptions().filter((option) => {
+			const modelProps = modelsStore.getModelProps(option.model);
+			return modelProps?.webui !== false;
+		})
+	);
+	const loading = $derived(modelsLoading());
+	const updating = $derived(modelsUpdating());
+	const activeId = $derived(selectedModelId());
+	const isRouter = $derived(isRouterMode());
+	const serverModel = $derived(singleModelName());
+
+	const currentModel = $derived(opts.currentModel());
+	const useGlobalSelection = $derived(opts.useGlobalSelection?.() ?? false);
+	const onModelChange = $derived(opts.onModelChange?.());
+
+	const isHighlightedCurrentModelActive = $derived.by(() => {
+		if (!isRouter || !currentModel) return false;
+		const currentOption = options.find((option) => option.model === currentModel);
+		return currentOption ? currentOption.id === activeId : false;
+	});
+
+	const isCurrentModelInCache = $derived.by(() => {
+		if (!isRouter || !currentModel) return true;
+		return options.some((option) => option.model === currentModel);
+	});
+
+	let isLoadingModel = $state(false);
+	let searchTerm = $state('');
+	let showModelDialog = $state(false);
+	let infoModelId = $state<string | null>(null);
+	const filteredOptions = $derived(filterModelOptions(options, searchTerm));
+	const groupedFilteredOptions = $derived(
+		groupModelOptions(filteredOptions, modelsStore.favoriteModelIds, (m) =>
+			modelsStore.isModelLoaded(m)
+		)
+	);
+
+	function handleInfoClick(modelName: string) {
+		infoModelId = modelName;
+		showModelDialog = true;
+	}
+
+	onMount(() => {
+		modelsStore.fetch().catch((error) => {
+			console.error('Unable to load models:', error);
+		});
+	});
+
+	function handleOpenChange(open: boolean) {
+		if (loading || updating) return;
+
+		if (isRouter) {
+			searchTerm = '';
+
+			if (open) {
+				modelsStore.fetchRouterModels().then(() => {
+					modelsStore.fetchModalitiesForLoadedModels();
+				});
+			}
+
+			opts.onOpenChange?.(open);
+		} else {
+			showModelDialog = open;
+		}
+	}
+
+	async function handleSelect(modelId: string) {
+		const option = options.find((opt) => opt.id === modelId);
+		if (!option) return;
+
+		let shouldCloseMenu = true;
+
+		if (onModelChange) {
+			const result = await onModelChange(option.id, option.model);
+			if (result === false) {
+				shouldCloseMenu = false;
+			}
+		} else {
+			await modelsStore.selectModelById(option.id);
+		}
+
+		if (shouldCloseMenu) {
+			handleOpenChange(false);
+
+			requestAnimationFrame(() => {
+				const textarea = document.querySelector<HTMLTextAreaElement>(
+					'[data-slot="chat-form"] textarea'
+				);
+				textarea?.focus();
+			});
+		}
+
+		if (!onModelChange && isRouter && !modelsStore.isModelLoaded(option.model)) {
+			isLoadingModel = true;
+			modelsStore
+				.loadModel(option.model)
+				.catch((error) => console.error('Failed to load model:', error))
+				.finally(() => (isLoadingModel = false));
+		}
+	}
+
+	function getDisplayOption(): ModelOption | undefined {
+		if (!isRouter) {
+			const displayModel = serverModel || currentModel;
+			if (displayModel) {
+				return {
+					id: serverModel ? 'current' : 'offline-current',
+					model: displayModel,
+					name: displayModel.split('/').pop() || displayModel,
+					capabilities: []
+				};
+			}
+			return undefined;
+		}
+
+		if (useGlobalSelection && activeId) {
+			const selected = options.find((option) => option.id === activeId);
+			if (selected) return selected;
+		}
+
+		if (currentModel) {
+			if (!isCurrentModelInCache) {
+				return {
+					id: 'not-in-cache',
+					model: currentModel,
+					name: currentModel.split('/').pop() || currentModel,
+					capabilities: []
+				};
+			}
+			return options.find((option) => option.model === currentModel);
+		}
+
+		if (activeId) {
+			return options.find((option) => option.id === activeId);
+		}
+
+		return undefined;
+	}
+
+	return {
+		get options() {
+			return options;
+		},
+		get loading() {
+			return loading;
+		},
+		get updating() {
+			return updating;
+		},
+		get activeId() {
+			return activeId;
+		},
+		get isRouter() {
+			return isRouter;
+		},
+		get serverModel() {
+			return serverModel;
+		},
+		get isHighlightedCurrentModelActive() {
+			return isHighlightedCurrentModelActive;
+		},
+		get isCurrentModelInCache() {
+			return isCurrentModelInCache;
+		},
+		get filteredOptions() {
+			return filteredOptions;
+		},
+		get groupedFilteredOptions() {
+			return groupedFilteredOptions;
+		},
+		get isLoadingModel() {
+			return isLoadingModel;
+		},
+		get searchTerm() {
+			return searchTerm;
+		},
+		get showModelDialog() {
+			return showModelDialog;
+		},
+		get infoModelId() {
+			return infoModelId;
+		},
+		setSearchTerm(value: string) {
+			searchTerm = value;
+		},
+		setShowModelDialog(value: boolean) {
+			showModelDialog = value;
+		},
+		handleInfoClick,
+		handleSelect,
+		handleOpenChange,
+		isFavorite(model: string) {
+			return modelsStore.favoriteModelIds.has(model);
+		},
+		getDisplayOption
+	};
+}
diff --git a/tools/server/webui/src/lib/hooks/use-scroll-carousel.svelte.ts b/tools/server/webui/src/lib/hooks/use-scroll-carousel.svelte.ts
new file mode 100644
index 000000000..e4c75d236
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-scroll-carousel.svelte.ts
@@ -0,0 +1,61 @@
+export function useScrollCarousel() {
+	let canScrollLeft = $state(false);
+	let canScrollRight = $state(false);
+	let scrollContainer = $state<HTMLDivElement | undefined>();
+
+	function scrollToCenter(element: HTMLElement) {
+		if (!scrollContainer) return;
+
+		const containerRect = scrollContainer.getBoundingClientRect();
+		const elementRect = element.getBoundingClientRect();
+
+		const elementCenter = elementRect.left + elementRect.width / 2;
+		const containerCenter = containerRect.left + containerRect.width / 2;
+		const scrollOffset = elementCenter - containerCenter;
+
+		scrollContainer.scrollBy({ left: scrollOffset, behavior: 'smooth' });
+	}
+
+	function scrollLeft() {
+		if (!scrollContainer) return;
+		scrollContainer.scrollBy({ left: -250, behavior: 'smooth' });
+	}
+
+	function scrollRight() {
+		if (!scrollContainer) return;
+		scrollContainer.scrollBy({ left: 250, behavior: 'smooth' });
+	}
+
+	function updateScrollButtons() {
+		if (!scrollContainer) return;
+
+		const { scrollLeft: sl, scrollWidth, clientWidth } = scrollContainer;
+		canScrollLeft = sl > 0;
+		canScrollRight = sl < scrollWidth - clientWidth - 1;
+	}
+
+	$effect(() => {
+		if (scrollContainer) {
+			updateScrollButtons();
+		}
+	});
+
+	return {
+		get canScrollLeft() {
+			return canScrollLeft;
+		},
+		get canScrollRight() {
+			return canScrollRight;
+		},
+		get scrollContainer() {
+			return scrollContainer;
+		},
+		set scrollContainer(el: HTMLDivElement | undefined) {
+			scrollContainer = el;
+		},
+		scrollToCenter,
+		scrollLeft,
+		scrollRight,
+		updateScrollButtons
+	};
+}
diff --git a/tools/server/webui/src/lib/hooks/use-settings-navigation.svelte.ts b/tools/server/webui/src/lib/hooks/use-settings-navigation.svelte.ts
new file mode 100644
index 000000000..decac5f7f
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-settings-navigation.svelte.ts
@@ -0,0 +1,48 @@
+import { page } from '$app/state';
+import { beforeNavigate } from '$app/navigation';
+import { settingsReferrer } from '$lib/stores/settings-referrer.svelte';
+
+export interface ChatSettings {
+	reset: () => void;
+}
+
+export function useSettingsNavigation() {
+	const subroute = $state({
+		activePanel: 'chat' as 'chat' | 'settings' | 'mcp',
+		chatSettingsRef: undefined as ChatSettings | undefined
+	});
+
+	const isSettingsRoute = $derived(!!page.route.id?.startsWith('/settings'));
+
+	beforeNavigate(({ to, from }) => {
+		if (
+			to?.route?.id?.startsWith('/settings/chat') &&
+			!from?.route?.id?.startsWith('/settings/chat')
+		) {
+			settingsReferrer.url = window.location.hash || '#/';
+		}
+	});
+
+	$effect(() => {
+		if (subroute.activePanel === 'settings' && subroute.chatSettingsRef) {
+			subroute.chatSettingsRef.reset();
+		}
+	});
+
+	// Return to chat when navigating to a new route
+	$effect(() => {
+		void page.url;
+
+		subroute.activePanel = 'chat';
+	});
+
+	return {
+		get panel() {
+			return subroute;
+		},
+
+		get isSettingsRoute() {
+			return isSettingsRoute;
+		}
+	};
+}
diff --git a/tools/server/webui/src/lib/hooks/use-tools-panel.svelte.ts b/tools/server/webui/src/lib/hooks/use-tools-panel.svelte.ts
new file mode 100644
index 000000000..4df3c7a5f
--- /dev/null
+++ b/tools/server/webui/src/lib/hooks/use-tools-panel.svelte.ts
@@ -0,0 +1,121 @@
+import { SvelteSet } from 'svelte/reactivity';
+import { ToolSource } from '$lib/enums';
+import { conversationsStore } from '$lib/stores/conversations.svelte';
+import { mcpStore } from '$lib/stores/mcp.svelte';
+import { toolsStore } from '$lib/stores/tools.svelte';
+import type { ToolGroup } from '$lib/types';
+
+export interface UseToolsPanelReturn {
+	readonly expandedGroups: SvelteSet<string>;
+	readonly groups: ToolGroup[];
+	readonly activeGroups: ToolGroup[];
+	readonly totalToolCount: number;
+	readonly noToolsInfoMessage: string | null;
+	getGroupCheckedState(group: ToolGroup): { checked: boolean; indeterminate: boolean };
+	getEnabledToolCount(group: ToolGroup): number;
+	getFavicon(group: { source: ToolSource; label: string }): string | null;
+	isGroupDisabled(group: ToolGroup): boolean;
+	toggleGroupExpanded(label: string): void;
+	handleOpen(): void;
+}
+
+/**
+ * Shared reactive state and helpers for the tools panel UI.
+ *
+ * Used by both the desktop dropdown (`ChatFormActionAddToolsSubmenu`)
+ * and the mobile sheet (`ChatFormActionAddSheet`) to avoid
+ * duplicating group filtering, checked-state derivation, and favicon logic.
+ */
+export function useToolsPanel(): UseToolsPanelReturn {
+	const expandedGroups = new SvelteSet<string>();
+
+	const groups = $derived(toolsStore.toolGroups);
+	const activeGroups = $derived(
+		groups.filter(
+			(g) =>
+				g.source !== ToolSource.MCP ||
+				!g.serverId ||
+				conversationsStore.isMcpServerEnabledForChat(g.serverId)
+		)
+	);
+	const totalToolCount = $derived(activeGroups.reduce((n, g) => n + g.tools.length, 0));
+	const noToolsInfoMessage = $derived.by(() => {
+		if (toolsStore.loading) return null;
+		if (toolsStore.toolGroups.length > 0) return null;
+		// Tools endpoint is unreachable (404) — server started without --tools
+		if (toolsStore.isToolsEndpointUnreachable) {
+			return 'To enable Built-In Tools you need to run llama-server with --tools all or --tools <name> flag. To see MCP Tools you need to add / enable MCP Server(s).';
+		}
+		// Other errors — return null so UI shows "Failed to load tools"
+		if (toolsStore.error) return null;
+		return 'To enable Built-In Tools you need to run llama-server with --tools all or --tools <name> flag. To see MCP Tools you need to add / enable MCP Server(s).';
+	});
+
+	function getGroupCheckedState(group: ToolGroup): { checked: boolean; indeterminate: boolean } {
+		return {
+			checked: toolsStore.isGroupFullyEnabled(group),
+			indeterminate: toolsStore.isGroupPartiallyEnabled(group)
+		};
+	}
+
+	function getEnabledToolCount(group: ToolGroup): number {
+		return group.tools.filter((tool) => toolsStore.isToolEnabled(tool.function.name)).length;
+	}
+
+	function getFavicon(group: { source: ToolSource; label: string }): string | null {
+		if (group.source !== ToolSource.MCP) return null;
+
+		for (const server of mcpStore.getServersSorted()) {
+			if (mcpStore.getServerLabel(server) === group.label) {
+				return mcpStore.getServerFavicon(server.id);
+			}
+		}
+
+		return null;
+	}
+
+	function isGroupDisabled(group: ToolGroup): boolean {
+		return (
+			group.source === ToolSource.MCP &&
+			!!group.serverId &&
+			!conversationsStore.isMcpServerEnabledForChat(group.serverId)
+		);
+	}
+
+	function toggleGroupExpanded(label: string): void {
+		if (expandedGroups.has(label)) {
+			expandedGroups.delete(label);
+		} else {
+			expandedGroups.add(label);
+		}
+	}
+
+	function handleOpen(): void {
+		if (toolsStore.builtinTools.length === 0 && !toolsStore.loading) {
+			toolsStore.fetchBuiltinTools();
+		}
+		mcpStore.runHealthChecksForServers(mcpStore.getServersSorted().filter((s) => s.enabled));
+	}
+
+	return {
+		expandedGroups,
+		get groups() {
+			return groups;
+		},
+		get activeGroups() {
+			return activeGroups;
+		},
+		get totalToolCount() {
+			return totalToolCount;
+		},
+		get noToolsInfoMessage() {
+			return noToolsInfoMessage;
+		},
+		getGroupCheckedState,
+		getEnabledToolCount,
+		getFavicon,
+		isGroupDisabled,
+		toggleGroupExpanded,
+		handleOpen
+	};
+}
diff --git a/tools/server/webui/src/lib/services/chat.service.ts b/tools/server/webui/src/lib/services/chat.service.ts
index ff9934276..9e5990d29 100644
--- a/tools/server/webui/src/lib/services/chat.service.ts
+++ b/tools/server/webui/src/lib/services/chat.service.ts
@@ -4,7 +4,8 @@ import { isAbortError } from '$lib/utils/abort';
 import {
 	ATTACHMENT_LABEL_PDF_FILE,
 	ATTACHMENT_LABEL_MCP_PROMPT,
-	ATTACHMENT_LABEL_MCP_RESOURCE
+	ATTACHMENT_LABEL_MCP_RESOURCE,
+	LEGACY_AGENTIC_REGEX
 } from '$lib/constants';
 import {
 	AttachmentType,
@@ -279,6 +280,107 @@ export class ChatService {
 		}
 	}
 
+	/**
+	 * Checks whether all server slots are currently idle (not processing any requests).
+	 * Queries the /slots endpoint (requires --slots flag on the server).
+	 * Returns true if all slots are idle, false if any is processing.
+	 * If the endpoint is unavailable or errors out, returns true (best-effort fallback).
+	 *
+	 * @param signal - Optional AbortSignal to cancel the request if needed
+	 * @param model - Optional model name to check slots for (required in ROUTER mode)
+	 * @returns {Promise<boolean>} Promise that resolves to true if all slots are idle, false if any is processing
+	 */
+	static async areAllSlotsIdle(model?: string | null, signal?: AbortSignal): Promise<boolean> {
+		try {
+			const url = model ? `./slots?model=${encodeURIComponent(model)}` : './slots';
+			const res = await fetch(url, { signal });
+			if (!res.ok) return true;
+
+			const slots: { is_processing: boolean }[] = await res.json();
+			return slots.every((s) => !s.is_processing);
+		} catch {
+			return true;
+		}
+	}
+
+	/**
+	 * Sends a fire-and-forget request to pre-encode the conversation in the server's KV cache.
+	 * After a response completes, this re-submits the full conversation
+	 * using n_predict=0 and stream=false so the server processes the prompt without generating tokens.
+	 * This warms the cache for the next turn, making it faster.
+	 *
+	 * When excludeReasoningFromContext is true, reasoning content is stripped from the messages
+	 * to match what sendMessage would send on the next turn (avoiding cache misses).
+	 * When false, reasoning_content is preserved so the cached prompt matches the next request.
+	 *
+	 * @param messages - The full conversation including the latest assistant response
+	 * @param model - Optional model name (required in ROUTER mode)
+	 * @param excludeReasoning - Whether to strip reasoning content (should match excludeReasoningFromContext setting)
+	 * @param signal - Optional AbortSignal to cancel the pre-encode request
+	 */
+	static async preEncode(
+		messages: ApiChatMessageData[] | (DatabaseMessage & { extra?: DatabaseMessageExtra[] })[],
+		model?: string | null,
+		excludeReasoning?: boolean,
+		signal?: AbortSignal
+	): Promise<void> {
+		const normalizedMessages: ApiChatMessageData[] = messages
+			.map((msg) => {
+				if ('id' in msg && 'convId' in msg && 'timestamp' in msg) {
+					return ChatService.convertDbMessageToApiChatMessageData(
+						msg as DatabaseMessage & { extra?: DatabaseMessageExtra[] }
+					);
+				}
+
+				return msg as ApiChatMessageData;
+			})
+			.filter((msg) => {
+				if (msg.role === MessageRole.SYSTEM) {
+					const content = typeof msg.content === 'string' ? msg.content : '';
+
+					return content.trim().length > 0;
+				}
+
+				return true;
+			});
+
+		const requestBody: Record<string, unknown> = {
+			messages: normalizedMessages.map((msg: ApiChatMessageData) => {
+				const mapped: Record<string, unknown> = {
+					role: msg.role,
+					content: excludeReasoning ? ChatService.stripReasoningContent(msg.content) : msg.content,
+					tool_calls: msg.tool_calls,
+					tool_call_id: msg.tool_call_id
+				};
+
+				if (!excludeReasoning && msg.reasoning_content) {
+					mapped.reasoning_content = msg.reasoning_content;
+				}
+
+				return mapped;
+			}),
+			stream: false,
+			n_predict: 0
+		};
+
+		if (model) {
+			requestBody.model = model;
+		}
+
+		try {
+			await fetch(`./v1/chat/completions`, {
+				method: 'POST',
+				headers: getJsonHeaders(),
+				body: JSON.stringify(requestBody),
+				signal
+			});
+		} catch (error) {
+			if (!isAbortError(error)) {
+				console.warn('[ChatService] Pre-encode request failed:', error);
+			}
+		}
+	}
+
 	/**
 	 *
 	 *
@@ -399,9 +501,10 @@ export class ChatService {
 
 						try {
 							const parsed: ApiChatCompletionStreamChunk = JSON.parse(data);
-							const content = parsed.choices[0]?.delta?.content;
-							const reasoningContent = parsed.choices[0]?.delta?.reasoning_content;
-							const toolCalls = parsed.choices[0]?.delta?.tool_calls;
+							const choice = parsed.choices?.[0];
+							const content = choice?.delta?.content;
+							const reasoningContent = choice?.delta?.reasoning_content;
+							const toolCalls = choice?.delta?.tool_calls;
 							const timings = parsed.timings;
 							const promptProgress = parsed.prompt_progress;
 
@@ -799,6 +902,28 @@ export class ChatService {
 	 *
 	 */
 
+	/**
+	 * Strips legacy inline reasoning content tags from message content.
+	 * Handles both plain string content and multipart content arrays.
+	 */
+	private static stripReasoningContent(
+		content: string | ApiChatMessageContentPart[]
+	): string | ApiChatMessageContentPart[] {
+		const stripFromString = (text: string): string =>
+			text.replace(LEGACY_AGENTIC_REGEX.REASONING_BLOCK, '').trim();
+
+		if (typeof content === 'string') {
+			return stripFromString(content);
+		}
+
+		return content.map((part) => {
+			if (part.type === ContentPartType.TEXT && part.text) {
+				return { ...part, text: stripFromString(part.text) };
+			}
+			return part;
+		});
+	}
+
 	/**
 	 * Parses error response and creates appropriate error with context information
 	 * @param response - HTTP response object
diff --git a/tools/server/webui/src/lib/services/index.ts b/tools/server/webui/src/lib/services/index.ts
index 7c98383d1..41382c4c1 100644
--- a/tools/server/webui/src/lib/services/index.ts
+++ b/tools/server/webui/src/lib/services/index.ts
@@ -209,7 +209,7 @@ export { PropsService } from './props.service';
  * - `SYNCABLE_PARAMETERS` — mapping of webui setting keys to server parameter keys
  *
  * @see settingsStore in stores/settings.svelte.ts — primary consumer for settings sync
- * @see ChatSettingsParameterSourceIndicator — displays parameter source badges in UI
+ * @see SettingsChatParameterSourceIndicator — displays parameter source badges in UI
  */
 export { ParameterSyncService } from './parameter-sync.service';
 
diff --git a/tools/server/webui/src/lib/services/mcp.service.ts b/tools/server/webui/src/lib/services/mcp.service.ts
index 9d11dd9a0..458013b5a 100644
--- a/tools/server/webui/src/lib/services/mcp.service.ts
+++ b/tools/server/webui/src/lib/services/mcp.service.ts
@@ -15,7 +15,8 @@ import type { Transport } from '@modelcontextprotocol/sdk/shared/transport.js';
 import {
 	DEFAULT_MCP_CONFIG,
 	DEFAULT_CLIENT_VERSION,
-	DEFAULT_IMAGE_MIME_TYPE
+	DEFAULT_IMAGE_MIME_TYPE,
+	MCP_PARTIAL_REDACT_HEADERS
 } from '$lib/constants';
 import {
 	MCPConnectionPhase,
@@ -26,6 +27,7 @@ import {
 } from '$lib/enums';
 import type {
 	MCPServerConfig,
+	MCPResourceIcon,
 	ToolCallParams,
 	ToolExecutionResult,
 	Implementation,
@@ -43,9 +45,17 @@ import {
 	buildProxiedUrl,
 	buildProxiedHeaders,
 	getAuthHeaders,
+	sanitizeHeaders,
 	throwIfAborted,
 	isAbortError,
-	createBase64DataUrl
+	createBase64DataUrl,
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods,
+	type RequestBodySummary
 } from '$lib/utils';
 
 interface ToolResultContentItem {
@@ -62,6 +72,16 @@ interface ToolCallResult {
 	_meta?: Record<string, unknown>;
 }
 
+interface DiagnosticRequestDetails {
+	url: string;
+	method: string;
+	credentials?: RequestCredentials;
+	mode?: RequestMode;
+	headers: Record<string, string>;
+	body: RequestBodySummary;
+	jsonRpcMethods?: string[];
+}
+
 export class MCPService {
 	/**
 	 * Create a connection log entry for phase tracking.
@@ -87,6 +107,225 @@ export class MCPService {
 		};
 	}
 
+	private static createDiagnosticRequestDetails(
+		input: RequestInfo | URL,
+		init: RequestInit | undefined,
+		baseInit: RequestInit,
+		requestHeaders: Headers,
+		extraRedactedHeaders?: Iterable<string>
+	): DiagnosticRequestDetails {
+		const body = getRequestBody(input, init);
+		const details: DiagnosticRequestDetails = {
+			url: getRequestUrl(input),
+			method: getRequestMethod(input, init, baseInit).toUpperCase(),
+			credentials: init?.credentials ?? baseInit.credentials,
+			mode: init?.mode ?? baseInit.mode,
+			headers: sanitizeHeaders(requestHeaders, extraRedactedHeaders, MCP_PARTIAL_REDACT_HEADERS),
+			body: summarizeRequestBody(body)
+		};
+		const jsonRpcMethods = extractJsonRpcMethods(body);
+
+		if (jsonRpcMethods) {
+			details.jsonRpcMethods = jsonRpcMethods;
+		}
+
+		return details;
+	}
+
+	private static summarizeError(error: unknown): Record<string, unknown> {
+		if (error instanceof Error) {
+			return {
+				name: error.name,
+				message: error.message,
+				cause:
+					error.cause instanceof Error
+						? { name: error.cause.name, message: error.cause.message }
+						: error.cause,
+				stack: error.stack?.split('\n').slice(0, 6).join('\n')
+			};
+		}
+
+		return { value: String(error) };
+	}
+
+	private static getBrowserContext(
+		targetUrl: URL,
+		useProxy: boolean
+	): Record<string, unknown> | undefined {
+		if (typeof window === 'undefined') {
+			return undefined;
+		}
+
+		return {
+			location: window.location.href,
+			origin: window.location.origin,
+			protocol: window.location.protocol,
+			isSecureContext: window.isSecureContext,
+			targetOrigin: targetUrl.origin,
+			targetProtocol: targetUrl.protocol,
+			sameOrigin: window.location.origin === targetUrl.origin,
+			useProxy
+		};
+	}
+
+	private static getConnectionHints(
+		targetUrl: URL,
+		config: MCPServerConfig,
+		error: unknown
+	): string[] {
+		const hints: string[] = [];
+		const message = error instanceof Error ? error.message : String(error);
+		const headerNames = Object.keys(config.headers ?? {});
+
+		if (typeof window !== 'undefined') {
+			if (
+				window.location.protocol === 'https:' &&
+				targetUrl.protocol === 'http:' &&
+				!config.useProxy
+			) {
+				hints.push(
+					'The page is running over HTTPS but the MCP server is HTTP. Browsers often block this as mixed content; enable the proxy or use HTTPS/WSS for the MCP server.'
+				);
+			}
+
+			if (window.location.origin !== targetUrl.origin && !config.useProxy) {
+				hints.push(
+					'This is a cross-origin browser request. If the server is reachable from curl or Node but not from the browser, missing CORS headers are the most likely cause.'
+				);
+			}
+		}
+
+		if (headerNames.length > 0) {
+			hints.push(
+				`Custom request headers are configured (${headerNames.join(', ')}). That triggers a CORS preflight, so the server must allow OPTIONS and include the matching Access-Control-Allow-Headers response.`
+			);
+		}
+
+		if (config.credentials && config.credentials !== 'omit') {
+			hints.push(
+				'Credentials are enabled for this connection. Cross-origin credentialed requests need Access-Control-Allow-Credentials: true and cannot use a wildcard Access-Control-Allow-Origin.'
+			);
+		}
+
+		if (message.includes('Failed to fetch')) {
+			hints.push(
+				'"Failed to fetch" is a browser-level network failure. Common causes are CORS rejection, mixed-content blocking, certificate/TLS errors, DNS failures, or nothing listening on the target port.'
+			);
+		}
+
+		return hints;
+	}
+
+	private static createDiagnosticFetch(
+		serverName: string,
+		config: MCPServerConfig,
+		baseInit: RequestInit,
+		targetUrl: URL,
+		useProxy: boolean,
+		onLog?: (log: MCPConnectionLog) => void
+	): {
+		fetch: typeof fetch;
+		disable: () => void;
+	} {
+		let enabled = true;
+		const logIfEnabled = (log: MCPConnectionLog) => {
+			if (enabled) {
+				onLog?.(log);
+			}
+		};
+
+		return {
+			fetch: async (input, init) => {
+				const startedAt = performance.now();
+				const requestHeaders = new Headers(baseInit.headers);
+
+				if (typeof Request !== 'undefined' && input instanceof Request) {
+					for (const [key, value] of input.headers.entries()) {
+						requestHeaders.set(key, value);
+					}
+				}
+
+				if (init?.headers) {
+					for (const [key, value] of new Headers(init.headers).entries()) {
+						requestHeaders.set(key, value);
+					}
+				}
+
+				const request = this.createDiagnosticRequestDetails(
+					input,
+					init,
+					baseInit,
+					requestHeaders,
+					Object.keys(config.headers ?? {})
+				);
+				const { method, url } = request;
+
+				logIfEnabled(
+					this.createLog(
+						MCPConnectionPhase.INITIALIZING,
+						`HTTP ${method} ${url}`,
+						MCPLogLevel.INFO,
+						{
+							serverName,
+							request
+						}
+					)
+				);
+
+				try {
+					const response = await fetch(input, {
+						...baseInit,
+						...init,
+						headers: requestHeaders
+					});
+					const durationMs = Math.round(performance.now() - startedAt);
+
+					logIfEnabled(
+						this.createLog(
+							MCPConnectionPhase.INITIALIZING,
+							`HTTP ${response.status} ${method} ${url} (${durationMs}ms)`,
+							response.ok ? MCPLogLevel.INFO : MCPLogLevel.WARN,
+							{
+								response: {
+									url,
+									status: response.status,
+									statusText: response.statusText,
+									headers: sanitizeHeaders(response.headers, undefined, MCP_PARTIAL_REDACT_HEADERS),
+									durationMs
+								}
+							}
+						)
+					);
+
+					return response;
+				} catch (error) {
+					const durationMs = Math.round(performance.now() - startedAt);
+
+					logIfEnabled(
+						this.createLog(
+							MCPConnectionPhase.ERROR,
+							`HTTP ${method} ${url} failed: ${formatDiagnosticErrorMessage(error)}`,
+							MCPLogLevel.ERROR,
+							{
+								serverName,
+								request,
+								error: this.summarizeError(error),
+								browser: this.getBrowserContext(targetUrl, useProxy),
+								hints: this.getConnectionHints(targetUrl, config, error),
+								durationMs
+							}
+						)
+					);
+
+					throw error;
+				}
+			},
+			disable: () => {
+				enabled = false;
+			}
+		};
+	}
+
 	/**
 	 * Detect if an error indicates an expired/invalidated MCP session.
 	 * Per MCP spec 2025-11-25: HTTP 404 means session invalidated, client MUST
@@ -113,9 +352,14 @@ export class MCPService {
 	 * @returns Object containing the created transport and the transport type used
 	 * @throws {Error} If url is missing, WebSocket + proxy combination, or all transports fail
 	 */
-	static createTransport(config: MCPServerConfig): {
+	static createTransport(
+		serverName: string,
+		config: MCPServerConfig,
+		onLog?: (log: MCPConnectionLog) => void
+	): {
 		transport: Transport;
 		type: MCPTransportType;
+		stopPhaseLogging: () => void;
 	} {
 		if (!config.url) {
 			throw new Error('MCP server configuration is missing url');
@@ -154,11 +398,20 @@ export class MCPService {
 
 			return {
 				transport: new WebSocketClientTransport(url),
-				type: MCPTransportType.WEBSOCKET
+				type: MCPTransportType.WEBSOCKET,
+				stopPhaseLogging: () => {}
 			};
 		}
 
 		const url = useProxy ? buildProxiedUrl(config.url) : new URL(config.url);
+		const { fetch: diagnosticFetch, disable: stopPhaseLogging } = this.createDiagnosticFetch(
+			serverName,
+			config,
+			requestInit,
+			url,
+			useProxy,
+			onLog
+		);
 
 		if (useProxy && import.meta.env.DEV) {
 			console.log(`[MCPService] Using CORS proxy for ${config.url} -> ${url.href}`);
@@ -171,17 +424,24 @@ export class MCPService {
 
 			return {
 				transport: new StreamableHTTPClientTransport(url, {
-					requestInit
+					requestInit,
+					fetch: diagnosticFetch
 				}),
-				type: MCPTransportType.STREAMABLE_HTTP
+				type: MCPTransportType.STREAMABLE_HTTP,
+				stopPhaseLogging
 			};
 		} catch (httpError) {
 			console.warn(`[MCPService] StreamableHTTP failed, trying SSE transport...`, httpError);
 
 			try {
 				return {
-					transport: new SSEClientTransport(url, { requestInit }),
-					type: MCPTransportType.SSE
+					transport: new SSEClientTransport(url, {
+						requestInit,
+						fetch: diagnosticFetch,
+						eventSourceInit: { fetch: diagnosticFetch }
+					}),
+					type: MCPTransportType.SSE,
+					stopPhaseLogging
 				};
 			} catch (sseError) {
 				const httpMsg = httpError instanceof Error ? httpError.message : String(httpError);
@@ -210,10 +470,11 @@ export class MCPService {
 			title: impl.title,
 			description: impl.description,
 			websiteUrl: impl.websiteUrl,
-			icons: impl.icons?.map((icon: { src: string; mimeType?: string; sizes?: string }) => ({
+			icons: impl.icons?.map((icon: MCPResourceIcon) => ({
 				src: icon.src,
 				mimeType: icon.mimeType,
-				sizes: icon.sizes
+				sizes: icon.sizes,
+				theme: icon.theme
 			}))
 		};
 	}
@@ -263,7 +524,11 @@ export class MCPService {
 			console.log(`[MCPService][${serverName}] Creating transport...`);
 		}
 
-		const { transport, type: transportType } = this.createTransport(serverConfig);
+		const {
+			transport,
+			type: transportType,
+			stopPhaseLogging
+		} = this.createTransport(serverName, serverConfig, (log) => onPhase?.(log.phase, log));
 
 		// Setup WebSocket reconnection handler
 		if (transportType === MCPTransportType.WEBSOCKET) {
@@ -294,14 +559,73 @@ export class MCPService {
 			}
 		);
 
+		const runtimeErrorHandler = (error: Error) => {
+			console.error(`[MCPService][${serverName}] Protocol error after initialize:`, error);
+		};
+
+		client.onerror = (error) => {
+			onPhase?.(
+				MCPConnectionPhase.ERROR,
+				this.createLog(
+					MCPConnectionPhase.ERROR,
+					`Protocol error: ${error.message}`,
+					MCPLogLevel.ERROR,
+					{
+						error: this.summarizeError(error)
+					}
+				)
+			);
+		};
+
 		// Phase: Initializing
 		onPhase?.(
 			MCPConnectionPhase.INITIALIZING,
 			this.createLog(MCPConnectionPhase.INITIALIZING, 'Sending initialize request...')
 		);
 
-		console.log(`[MCPService][${serverName}] Connecting to server...`);
-		await client.connect(transport);
+		try {
+			await client.connect(transport);
+			// Transport diagnostics are only for the initial handshake, not long-lived traffic.
+			stopPhaseLogging();
+			client.onerror = runtimeErrorHandler;
+		} catch (error) {
+			client.onerror = runtimeErrorHandler;
+			const url =
+				(serverConfig.useProxy ?? false)
+					? buildProxiedUrl(serverConfig.url)
+					: new URL(serverConfig.url);
+
+			onPhase?.(
+				MCPConnectionPhase.ERROR,
+				this.createLog(
+					MCPConnectionPhase.ERROR,
+					`Connection failed during initialize: ${
+						error instanceof Error ? error.message : String(error)
+					}`,
+					MCPLogLevel.ERROR,
+					{
+						error: this.summarizeError(error),
+						config: {
+							serverName,
+							configuredUrl: serverConfig.url,
+							effectiveUrl: url.href,
+							transportType,
+							useProxy: serverConfig.useProxy ?? false,
+							headers: sanitizeHeaders(
+								serverConfig.headers,
+								Object.keys(serverConfig.headers ?? {}),
+								MCP_PARTIAL_REDACT_HEADERS
+							),
+							credentials: serverConfig.credentials
+						},
+						browser: this.getBrowserContext(url, serverConfig.useProxy ?? false),
+						hints: this.getConnectionHints(url, serverConfig, error)
+					}
+				)
+			);
+
+			throw error;
+		}
 
 		const serverVersion = client.getServerVersion();
 		const serverCapabilities = client.getServerCapabilities();
diff --git a/tools/server/webui/src/lib/services/parameter-sync.service.ts b/tools/server/webui/src/lib/services/parameter-sync.service.ts
index cc6692128..27742c28c 100644
--- a/tools/server/webui/src/lib/services/parameter-sync.service.ts
+++ b/tools/server/webui/src/lib/services/parameter-sync.service.ts
@@ -88,6 +88,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 	},
 	{ key: 'max_tokens', serverKey: 'max_tokens', type: SyncableParameterType.NUMBER, canSync: true },
 	{ key: 'samplers', serverKey: 'samplers', type: SyncableParameterType.STRING, canSync: true },
+	{
+		key: 'backend_sampling',
+		serverKey: 'backend_sampling',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
 	{
 		key: 'pasteLongTextToFileLen',
 		serverKey: 'pasteLongTextToFileLen',
@@ -124,6 +130,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 		type: SyncableParameterType.BOOLEAN,
 		canSync: true
 	},
+	{
+		key: 'titleGenerationUseFirstLine',
+		serverKey: 'titleGenerationUseFirstLine',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
+	},
 	{
 		key: 'disableAutoScroll',
 		serverKey: 'disableAutoScroll',
@@ -191,12 +203,6 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 		type: SyncableParameterType.BOOLEAN,
 		canSync: true
 	},
-	{
-		key: 'autoShowSidebarOnNewChat',
-		serverKey: 'autoShowSidebarOnNewChat',
-		type: SyncableParameterType.BOOLEAN,
-		canSync: true
-	},
 	{
 		key: 'showRawModelNames',
 		serverKey: 'showRawModelNames',
@@ -233,6 +239,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
 		serverKey: 'excludeReasoningFromContext',
 		type: SyncableParameterType.BOOLEAN,
 		canSync: true
+	},
+	{
+		key: 'sendOnEnter',
+		serverKey: 'sendOnEnter',
+		type: SyncableParameterType.BOOLEAN,
+		canSync: true
 	}
 ];
 
@@ -349,7 +361,7 @@ export class ParameterSyncService {
 
 	/**
 	 * Get parameter information including source and values.
-	 * Used by ChatSettingsParameterSourceIndicator to display the correct badge
+	 * Used by SettingsChatParameterSourceIndicator to display the correct badge
 	 * (Custom vs Default) for each parameter in the settings UI.
 	 *
 	 * @param key - The parameter key to get info for
diff --git a/tools/server/webui/src/lib/services/tools.service.ts b/tools/server/webui/src/lib/services/tools.service.ts
new file mode 100644
index 000000000..8f39f5209
--- /dev/null
+++ b/tools/server/webui/src/lib/services/tools.service.ts
@@ -0,0 +1,40 @@
+import { apiFetch } from '$lib/utils';
+import { API_TOOLS } from '$lib/constants';
+import { ToolResponseField } from '$lib/enums';
+import type { ToolExecutionResult, ServerBuiltinToolInfo } from '$lib/types';
+
+export class ToolsService {
+	/**
+	 * Fetch the list of built-in tools from the server.
+	 *
+	 * @returns Array of tool definitions in OpenAI-compatible format
+	 */
+	static async list(): Promise<ServerBuiltinToolInfo[]> {
+		return apiFetch<ServerBuiltinToolInfo[]>(API_TOOLS.LIST);
+	}
+
+	/**
+	 * Execute a built-in tool on the server.
+	 */
+	static async executeTool(
+		toolName: string,
+		params: Record<string, unknown>,
+		signal?: AbortSignal
+	): Promise<ToolExecutionResult> {
+		const result = await apiFetch<Record<string, unknown>>(API_TOOLS.EXECUTE, {
+			method: 'POST',
+			body: JSON.stringify({ tool: toolName, params }),
+			signal
+		});
+
+		if (ToolResponseField.ERROR in result) {
+			return { content: String(result[ToolResponseField.ERROR]), isError: true };
+		}
+
+		if (ToolResponseField.PLAIN_TEXT in result) {
+			return { content: String(result[ToolResponseField.PLAIN_TEXT]), isError: false };
+		}
+
+		return { content: JSON.stringify(result), isError: false };
+	}
+}
diff --git a/tools/server/webui/src/lib/stores/agentic.svelte.ts b/tools/server/webui/src/lib/stores/agentic.svelte.ts
index d92499847..af71c3da4 100644
--- a/tools/server/webui/src/lib/stores/agentic.svelte.ts
+++ b/tools/server/webui/src/lib/stores/agentic.svelte.ts
@@ -24,11 +24,15 @@ import { ChatService } from '$lib/services';
 import { config } from '$lib/stores/settings.svelte';
 import { mcpStore } from '$lib/stores/mcp.svelte';
 import { modelsStore } from '$lib/stores/models.svelte';
+import { toolsStore } from '$lib/stores/tools.svelte';
+import { permissionsStore } from '$lib/stores/permissions.svelte';
+import { ToolSource, ToolPermissionDecision } from '$lib/enums';
+import { SvelteMap } from 'svelte/reactivity';
+import { ToolsService } from '$lib/services/tools.service';
 import { isAbortError } from '$lib/utils';
 import {
 	DEFAULT_AGENTIC_CONFIG,
 	NEWLINE_SEPARATOR,
-	TURN_LIMIT_MESSAGE,
 	LLM_ERROR_BLOCK_START,
 	LLM_ERROR_BLOCK_END
 } from '$lib/constants';
@@ -58,7 +62,8 @@ import type {
 	AgenticMessage,
 	AgenticToolCallList,
 	AgenticFlowCallbacks,
-	AgenticFlowOptions
+	AgenticFlowOptions,
+	SteeringMessage
 } from '$lib/types/agentic';
 import type {
 	ApiChatCompletionToolCall,
@@ -84,7 +89,8 @@ function createDefaultSession(): AgenticSession {
 		currentTurn: 0,
 		totalToolCalls: 0,
 		lastError: null,
-		streamingToolCall: null
+		streamingToolCall: null,
+		pendingPermissionRequest: null
 	};
 }
 
@@ -98,6 +104,7 @@ function toAgenticMessages(messages: ApiChatMessageData[]): AgenticMessage[] {
 			return {
 				role: MessageRole.ASSISTANT,
 				content: message.content,
+				reasoning_content: message.reasoning_content,
 				tool_calls: message.tool_calls.map((call, index) => ({
 					id: call.id ?? `call_${index}`,
 					type: (call.type as ToolCallType.FUNCTION) ?? ToolCallType.FUNCTION,
@@ -105,6 +112,13 @@ function toAgenticMessages(messages: ApiChatMessageData[]): AgenticMessage[] {
 				}))
 			} satisfies AgenticMessage;
 		}
+		if (message.role === MessageRole.ASSISTANT) {
+			return {
+				role: MessageRole.ASSISTANT,
+				content: message.content,
+				reasoning_content: message.reasoning_content
+			} satisfies AgenticMessage;
+		}
 		if (message.role === MessageRole.TOOL && message.tool_call_id) {
 			return {
 				role: MessageRole.TOOL,
@@ -120,7 +134,22 @@ function toAgenticMessages(messages: ApiChatMessageData[]): AgenticMessage[] {
 }
 
 class AgenticStore {
-	private _sessions = $state<Map<string, AgenticSession>>(new Map());
+	private _sessions = new SvelteMap<string, AgenticSession>();
+	/** Dedicated reactive state for pending permission requests (ensures immediate UI updates) */
+	private _pendingPermissions = new SvelteMap<
+		string,
+		{ toolName: string; serverLabel: string } | null
+	>();
+	/** Non-reactive: stores resolve functions for pending permission Promises */
+	private _permissionResolvers = new Map<string, (decision: ToolPermissionDecision) => void>();
+
+	/** Dedicated reactive state for pending continue requests (turn limit reached) */
+	private _pendingContinueRequests = new SvelteMap<string, boolean>();
+	/** Non-reactive: stores resolve functions for pending continue Promises */
+	private _continueResolvers = new Map<string, (shouldContinue: boolean) => void>();
+
+	/** Reactive: queued steering messages to inject between turns */
+	private _steeringMessages = new SvelteMap<string, SteeringMessage>();
 
 	get isReady(): boolean {
 		return true;
@@ -178,36 +207,214 @@ class AgenticStore {
 		return this.getSession(conversationId).streamingToolCall;
 	}
 
+	pendingPermissionRequest(
+		conversationId: string
+	): { toolName: string; serverLabel: string } | null {
+		return this._pendingPermissions.get(conversationId) ?? null;
+	}
+
+	pendingContinueRequest(conversationId: string): boolean {
+		return this._pendingContinueRequests.get(conversationId) ?? false;
+	}
+
+	resolveContinue(conversationId: string, shouldContinue: boolean): void {
+		const resolver = this._continueResolvers.get(conversationId);
+		if (resolver) {
+			this._continueResolvers.delete(conversationId);
+			resolver(shouldContinue);
+		}
+	}
+
+	resolvePermission(conversationId: string, decision: ToolPermissionDecision): void {
+		const resolver = this._permissionResolvers.get(conversationId);
+		if (resolver) {
+			this._permissionResolvers.delete(conversationId);
+			resolver(decision);
+		}
+	}
+
 	clearError(conversationId: string): void {
 		this.updateSession(conversationId, { lastError: null });
 	}
 
+	hasPendingSteeringMessage(conversationId: string): boolean {
+		return this._steeringMessages.has(conversationId);
+	}
+
+	pendingSteeringMessageContent(conversationId: string): string | null {
+		return this._steeringMessages.get(conversationId)?.content ?? null;
+	}
+
+	pendingSteeringMessageExtras(conversationId: string): DatabaseMessageExtra[] | undefined {
+		return this._steeringMessages.get(conversationId)?.extras;
+	}
+
+	/**
+	 * Queue a steering message. When the current agentic turn completes,
+	 * the flow exits and the caller re-sends the message as a normal chat message.
+	 */
+	injectSteeringMessage(
+		conversationId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	): void {
+		this._steeringMessages.set(conversationId, { content, extras });
+	}
+
+	/**
+	 * Clear the pending steering message without consuming it.
+	 */
+	clearSteeringMessage(conversationId: string): void {
+		this._steeringMessages.delete(conversationId);
+	}
+
+	/**
+	 * Consume and return the pending steering message for re-sending.
+	 * Called by chatStore after the agentic flow exits.
+	 */
+	consumePendingSteeringMessage(conversationId: string): SteeringMessage | null {
+		const msg = this._steeringMessages.get(conversationId);
+		if (!msg) return null;
+		this._steeringMessages.delete(conversationId);
+		return msg;
+	}
+
 	getConfig(settings: SettingsConfigType, perChatOverrides?: McpServerOverride[]): AgenticConfig {
 		const maxTurns = Number(settings.agenticMaxTurns) || DEFAULT_AGENTIC_CONFIG.maxTurns;
 		const maxToolPreviewLines =
 			Number(settings.agenticMaxToolPreviewLines) || DEFAULT_AGENTIC_CONFIG.maxToolPreviewLines;
+		const hasTools =
+			mcpStore.hasEnabledServers(perChatOverrides) ||
+			toolsStore.builtinTools.length > 0 ||
+			toolsStore.customTools.length > 0;
 		return {
-			enabled: mcpStore.hasEnabledServers(perChatOverrides) && DEFAULT_AGENTIC_CONFIG.enabled,
+			enabled: hasTools && DEFAULT_AGENTIC_CONFIG.enabled,
 			maxTurns,
 			maxToolPreviewLines
 		};
 	}
 
+	private parseToolArguments(args: string | Record<string, unknown>): Record<string, unknown> {
+		if (typeof args === 'object') return args;
+		const trimmed = args.trim();
+		if (trimmed === '') return {};
+		return JSON.parse(trimmed) as Record<string, unknown>;
+	}
+
+	private async requestPermission(
+		conversationId: string,
+		toolName: string,
+		serverLabel: string,
+		signal?: AbortSignal
+	): Promise<ToolPermissionDecision> {
+		const permissionKey = toolsStore.getPermissionKey(toolName);
+		if (permissionKey && permissionsStore.hasTool(permissionKey)) {
+			return ToolPermissionDecision.ONCE;
+		}
+
+		this._pendingPermissions.set(conversationId, { toolName, serverLabel });
+
+		return new Promise<ToolPermissionDecision>((resolve) => {
+			if (signal?.aborted) {
+				this._pendingPermissions.set(conversationId, null);
+				resolve(ToolPermissionDecision.DENY);
+				return;
+			}
+
+			this._permissionResolvers.set(conversationId, (decision) => {
+				this._pendingPermissions.set(conversationId, null);
+				if (decision === ToolPermissionDecision.ALWAYS && permissionKey) {
+					permissionsStore.allowTool(permissionKey);
+				} else if (decision === ToolPermissionDecision.ALWAYS_SERVER) {
+					const serverToolKeys = toolsStore.allTools
+						.filter((t) =>
+							t.serverName
+								? t.serverName === serverLabel
+								: toolsStore.getToolServerLabel(t.definition.function.name) === serverLabel
+						)
+						.map((t) => toolsStore.getPermissionKey(t.definition.function.name)!)
+						.filter((k): k is string => k !== null);
+					permissionsStore.allowTools(serverToolKeys);
+				}
+				resolve(decision);
+			});
+
+			signal?.addEventListener(
+				'abort',
+				() => {
+					const resolver = this._permissionResolvers.get(conversationId);
+					if (resolver) {
+						this._permissionResolvers.delete(conversationId);
+						this._pendingPermissions.set(conversationId, null);
+						resolve(ToolPermissionDecision.DENY);
+					}
+				},
+				{ once: true }
+			);
+		});
+	}
+
+	private async requestContinue(conversationId: string, signal?: AbortSignal): Promise<boolean> {
+		this._pendingContinueRequests.set(conversationId, true);
+
+		return new Promise<boolean>((resolve) => {
+			if (signal?.aborted) {
+				this._pendingContinueRequests.set(conversationId, false);
+				resolve(false);
+				return;
+			}
+
+			this._continueResolvers.set(conversationId, (shouldContinue) => {
+				this._pendingContinueRequests.set(conversationId, false);
+				resolve(shouldContinue);
+			});
+
+			signal?.addEventListener(
+				'abort',
+				() => {
+					const resolver = this._continueResolvers.get(conversationId);
+					if (resolver) {
+						this._continueResolvers.delete(conversationId);
+						this._pendingContinueRequests.set(conversationId, false);
+						resolve(false);
+					}
+				},
+				{ once: true }
+			);
+		});
+	}
+
 	async runAgenticFlow(params: AgenticFlowParams): Promise<AgenticFlowResult> {
 		const { conversationId, messages, options = {}, callbacks, signal, perChatOverrides } = params;
 
+		// Clear any pending permissions/continue requests for this conversation when starting a new flow
+		this._pendingPermissions.set(conversationId, null);
+		this._permissionResolvers.delete(conversationId);
+		this._pendingContinueRequests.set(conversationId, false);
+		this._continueResolvers.delete(conversationId);
+		this._steeringMessages.delete(conversationId);
+
+		// Ensure built-in tools are fetched before checking if agentic is enabled
+		if (toolsStore.builtinTools.length === 0 && !toolsStore.loading) {
+			await toolsStore.fetchBuiltinTools();
+		}
+
 		const agenticConfig = this.getConfig(config(), perChatOverrides);
 		if (!agenticConfig.enabled) return { handled: false };
 
-		const initialized = await mcpStore.ensureInitialized(perChatOverrides);
-		if (!initialized) {
-			console.log('[AgenticStore] MCP not initialized, falling back to standard chat');
-			return { handled: false };
+		const hasMcpServers = mcpStore.hasEnabledServers(perChatOverrides);
+		if (hasMcpServers) {
+			const initialized = await mcpStore.ensureInitialized(perChatOverrides);
+
+			if (!initialized) {
+				console.log('[AgenticStore] MCP not initialized');
+			}
 		}
 
-		const tools = mcpStore.getToolDefinitionsForLLM();
+		const tools = toolsStore.getEnabledToolsForLLM();
 		if (tools.length === 0) {
 			console.log('[AgenticStore] No tools available, falling back to standard chat');
+
 			return { handled: false };
 		}
 
@@ -235,7 +442,8 @@ class AgenticStore {
 			totalToolCalls: 0,
 			lastError: null
 		});
-		mcpStore.acquireConnection();
+
+		if (hasMcpServers) mcpStore.acquireConnection();
 
 		try {
 			await this.executeAgenticLoop({
@@ -255,11 +463,14 @@ class AgenticStore {
 			return { handled: true, error: normalizedError };
 		} finally {
 			this.updateSession(conversationId, { isRunning: false });
-			await mcpStore
-				.releaseConnection()
-				.catch((err: unknown) =>
-					console.warn('[AgenticStore] Failed to release MCP connection:', err)
-				);
+
+			if (hasMcpServers) {
+				await mcpStore
+					.releaseConnection()
+					.catch((err: unknown) =>
+						console.warn('[AgenticStore] Failed to release MCP connection:', err)
+					);
+			}
 		}
 	}
 
@@ -303,7 +514,24 @@ class AgenticStore {
 
 		const effectiveModel = options.model || modelsStore.models[0]?.model || '';
 
-		for (let turn = 0; turn < maxTurns; turn++) {
+		let turn = 0;
+		while (true) {
+			if (turn >= maxTurns) {
+				// Turn limit reached - ask user whether to continue
+				const shouldContinue = await this.requestContinue(conversationId, signal);
+
+				// Yield to allow Svelte to flush the UI update
+				await new Promise((r) => setTimeout(r, 0));
+
+				if (!shouldContinue || signal?.aborted) {
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+					return;
+				}
+
+				// User chose to continue - extend the limit
+				turn = 0;
+			}
+
 			this.updateSession(conversationId, { currentTurn: turn + 1 });
 			agenticTimings.turns = turn + 1;
 
@@ -426,6 +654,20 @@ class AgenticStore {
 				throw normalizedError;
 			}
 
+			// === Steering check: if a user message was queued during this turn, exit the flow.
+			// The caller (chatStore) will consume the pending message and re-send it normally.
+			if (this._steeringMessages.has(conversationId)) {
+				console.log('[AgenticStore] Steering message detected after turn, exiting agentic flow');
+				await onAssistantTurnComplete?.(
+					turnContent,
+					turnReasoningContent || undefined,
+					this.buildFinalTimings(capturedTimings, agenticTimings),
+					turnToolCalls.length > 0 ? this.normalizeToolCalls(turnToolCalls) : undefined
+				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+				return;
+			}
+
 			// No tool calls = final turn, save and complete
 			if (turnToolCalls.length === 0) {
 				agenticTimings.perTurn!.push(turnStats);
@@ -474,35 +716,93 @@ class AgenticStore {
 			sessionMessages.push({
 				role: MessageRole.ASSISTANT,
 				content: turnContent || undefined,
+				reasoning_content: turnReasoningContent || undefined,
 				tool_calls: normalizedCalls
 			});
 
 			// Execute each tool call and create result messages
-			for (const toolCall of normalizedCalls) {
+			for (let i = 0; i < normalizedCalls.length; i++) {
+				const toolCall = normalizedCalls[i];
+
+				if (signal?.aborted) {
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+					return;
+				}
+
+				// Check for pending steering message - skip remaining tool calls
+				if (this._steeringMessages.has(conversationId)) {
+					console.log(
+						`[AgenticStore] Steering message detected, skipping ${normalizedCalls.length - i} remaining tool call(s)`
+					);
+					for (let j = i; j < normalizedCalls.length; j++) {
+						const remainingCall = normalizedCalls[j];
+						const interruptedContent = 'Tool execution was interrupted by a new user message.';
+						if (createToolResultMessage) {
+							await createToolResultMessage(remainingCall.id, interruptedContent);
+						}
+						sessionMessages.push({
+							role: MessageRole.TOOL,
+							tool_call_id: remainingCall.id,
+							content: interruptedContent
+						});
+					}
+					break;
+				}
+
+				const toolName = toolCall.function.name;
+				const serverLabel = toolsStore.getToolServerLabel(toolName);
+
+				// Ask for permission before executing the tool
+				const permission = await this.requestPermission(
+					conversationId,
+					toolName,
+					serverLabel,
+					signal
+				);
+
+				// Yield to allow Svelte to flush the UI update (hide permission dialog)
+				await new Promise((r) => setTimeout(r, 0));
+
 				if (signal?.aborted) {
 					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 
 				const toolStartTime = performance.now();
-				const mcpCall: MCPToolCall = {
-					id: toolCall.id,
-					function: { name: toolCall.function.name, arguments: toolCall.function.arguments }
-				};
+				const toolSource = toolsStore.getToolSource(toolName);
 
 				let result: string;
 				let toolSuccess = true;
 
-				try {
-					const executionResult = await mcpStore.executeTool(mcpCall, signal);
-					result = executionResult.content;
-				} catch (error) {
-					if (isAbortError(error)) {
-						onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
-						return;
-					}
-					result = `Error: ${error instanceof Error ? error.message : String(error)}`;
+				if (permission === ToolPermissionDecision.DENY) {
+					result = 'Tool execution was denied by the user.';
 					toolSuccess = false;
+				} else {
+					try {
+						if (toolSource === ToolSource.BUILTIN) {
+							const args = this.parseToolArguments(toolCall.function.arguments);
+							const executionResult = await ToolsService.executeTool(toolName, args, signal);
+
+							result = executionResult.content;
+
+							if (executionResult.isError) toolSuccess = false;
+						} else {
+							const mcpCall: MCPToolCall = {
+								id: toolCall.id,
+								function: { name: toolName, arguments: toolCall.function.arguments }
+							};
+							const executionResult = await mcpStore.executeTool(mcpCall, signal);
+
+							result = executionResult.content;
+						}
+					} catch (error) {
+						if (isAbortError(error)) {
+							onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+							return;
+						}
+						result = `Error: ${error instanceof Error ? error.message : String(error)}`;
+						toolSuccess = false;
+					}
 				}
 
 				const toolDurationMs = performance.now() - toolStartTime;
@@ -571,17 +871,18 @@ class AgenticStore {
 				const intermediateTimings = this.buildFinalTimings(capturedTimings, agenticTimings);
 				if (intermediateTimings) onTurnComplete?.(intermediateTimings);
 			}
-		}
 
-		// Turn limit reached
-		onChunk?.(TURN_LIMIT_MESSAGE);
-		await onAssistantTurnComplete?.(
-			TURN_LIMIT_MESSAGE,
-			undefined,
-			this.buildFinalTimings(capturedTimings, agenticTimings),
-			undefined
-		);
-		onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+			// If tools were interrupted by a steering message, exit now instead of starting another LLM turn
+			if (this._steeringMessages.has(conversationId)) {
+				console.log(
+					'[AgenticStore] Steering message detected after tool execution, exiting agentic flow'
+				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
+				return;
+			}
+
+			turn++;
+		}
 	}
 
 	private buildFinalTimings(
@@ -679,6 +980,46 @@ export function agenticStreamingToolCall(conversationId: string) {
 	return agenticStore.streamingToolCall(conversationId);
 }
 
+export function agenticPendingPermissionRequest(conversationId: string) {
+	return agenticStore.pendingPermissionRequest(conversationId);
+}
+
+export function agenticResolvePermission(conversationId: string, decision: ToolPermissionDecision) {
+	agenticStore.resolvePermission(conversationId, decision);
+}
+
+export function agenticPendingContinueRequest(conversationId: string) {
+	return agenticStore.pendingContinueRequest(conversationId);
+}
+
+export function agenticResolveContinue(conversationId: string, shouldContinue: boolean) {
+	agenticStore.resolveContinue(conversationId, shouldContinue);
+}
+
+export function agenticHasPendingSteeringMessage(conversationId: string) {
+	return agenticStore.hasPendingSteeringMessage(conversationId);
+}
+
+export function agenticInjectSteeringMessage(
+	conversationId: string,
+	content: string,
+	extras?: DatabaseMessageExtra[]
+) {
+	agenticStore.injectSteeringMessage(conversationId, content, extras);
+}
+
+export function agenticPendingSteeringMessageContent(conversationId: string) {
+	return agenticStore.pendingSteeringMessageContent(conversationId);
+}
+
+export function agenticPendingSteeringMessageExtras(conversationId: string) {
+	return agenticStore.pendingSteeringMessageExtras(conversationId);
+}
+
+export function agenticClearSteeringMessage(conversationId: string) {
+	agenticStore.clearSteeringMessage(conversationId);
+}
+
 export function agenticIsAnyRunning() {
 	return agenticStore.isAnyRunning;
 }
diff --git a/tools/server/webui/src/lib/stores/chat.svelte.ts b/tools/server/webui/src/lib/stores/chat.svelte.ts
index 229631c6a..4a29cd3db 100644
--- a/tools/server/webui/src/lib/stores/chat.svelte.ts
+++ b/tools/server/webui/src/lib/stores/chat.svelte.ts
@@ -30,7 +30,8 @@ import {
 	findDescendantMessages,
 	findLeafNode,
 	findMessageById,
-	isAbortError
+	isAbortError,
+	generateConversationTitle
 } from '$lib/utils';
 import {
 	MAX_INACTIVE_CONVERSATION_STATES,
@@ -58,6 +59,7 @@ class ChatStore {
 	chatLoadingStates = new SvelteMap<string, boolean>();
 	chatStreamingStates = new SvelteMap<string, { response: string; messageId: string }>();
 	private abortControllers = new SvelteMap<string, AbortController>();
+	private preEncodeAbortController: AbortController | null = null;
 	private processingStates = new SvelteMap<string, ApiProcessingState | null>();
 	private conversationStateTimestamps = new SvelteMap<string, ConversationStateEntry>();
 	private activeConversationId = $state<string | null>(null);
@@ -71,6 +73,12 @@ class ChatStore {
 	private _pendingDraftMessage = $state<string>('');
 	private _pendingDraftFiles = $state<ChatUploadedFile[]>([]);
 
+	/** Reactive: queued pending messages for non-agentic streaming */
+	private _pendingMessages = new SvelteMap<
+		string,
+		{ content: string; extras?: DatabaseMessageExtra[] }
+	>();
+
 	private setChatLoading(convId: string, loading: boolean): void {
 		this.touchConversationState(convId);
 		if (loading) {
@@ -174,6 +182,19 @@ class ChatStore {
 		}
 	}
 
+	/**
+	 * Abort the current agentic flow signal without clearing loading state.
+	 * Used by "Send immediately" to force the agentic loop to exit so that
+	 * the pending steering message can be re-sent.
+	 */
+	abortCurrentFlow(convId: string): void {
+		const c = this.abortControllers.get(convId);
+		if (c) {
+			c.abort();
+			this.abortControllers.delete(convId);
+		}
+	}
+
 	private showErrorDialog(state: ErrorDialogState | null): void {
 		this.errorDialogState = state;
 	}
@@ -241,6 +262,35 @@ class ChatStore {
 		return this.chatStreamingStates.has(convId);
 	}
 
+	hasPendingMessage(convId: string): boolean {
+		return this._pendingMessages.has(convId);
+	}
+
+	pendingMessageContent(convId: string): string | null {
+		return this._pendingMessages.get(convId)?.content ?? null;
+	}
+
+	pendingMessageExtras(convId: string): DatabaseMessageExtra[] | undefined {
+		return this._pendingMessages.get(convId)?.extras;
+	}
+
+	injectPendingMessage(convId: string, content: string, extras?: DatabaseMessageExtra[]): void {
+		this._pendingMessages.set(convId, { content, extras });
+	}
+
+	clearPendingMessage(convId: string): void {
+		this._pendingMessages.delete(convId);
+	}
+
+	consumePendingMessage(
+		convId: string
+	): { content: string; extras?: DatabaseMessageExtra[] } | null {
+		const msg = this._pendingMessages.get(convId);
+		if (!msg) return null;
+		this._pendingMessages.delete(convId);
+		return msg;
+	}
+
 	private touchConversationState(convId: string): void {
 		this.conversationStateTimestamps.set(convId, { lastAccessed: Date.now() });
 	}
@@ -460,7 +510,21 @@ class ChatStore {
 	async sendMessage(content: string, extras?: DatabaseMessageExtra[]): Promise<void> {
 		if (!content.trim() && (!extras || extras.length === 0)) return;
 		const activeConv = conversationsStore.activeConversation;
-		if (activeConv && this.isChatLoadingInternal(activeConv.id)) return;
+
+		// If agentic loop is running, inject as a steering message instead of starting a new flow
+		if (activeConv && agenticStore.isRunning(activeConv.id)) {
+			agenticStore.injectSteeringMessage(activeConv.id, content, extras);
+			return;
+		}
+
+		// If non-agentic streaming is active, queue as a pending message to send after completion
+		if (activeConv && this.isChatLoadingInternal(activeConv.id)) {
+			this.injectPendingMessage(activeConv.id, content, extras);
+			return;
+		}
+
+		// Cancel any in-flight pre-encode request
+		this.cancelPreEncode();
 
 		// Consume MCP resource attachments - converts them to extras and clears the live store
 		const resourceExtras = mcpStore.consumeResourceAttachmentsAsExtras();
@@ -500,7 +564,10 @@ class ChatStore {
 				allExtras
 			);
 			if (isNewConversation && content)
-				await conversationsStore.updateConversationName(currentConv.id, content.trim());
+				await conversationsStore.updateConversationName(
+					currentConv.id,
+					generateConversationTitle(content, Boolean(config().titleGenerationUseFirstLine))
+				);
 			const assistantMessage = await this.createAssistantMessage(userMessage.id);
 			conversationsStore.addMessageToActive(assistantMessage);
 			await this.streamChatCompletion(
@@ -724,15 +791,31 @@ class ChatStore {
 
 				if (onComplete) onComplete(streamedContent);
 				if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+				// Pre-encode conversation in KV cache for faster next turn
+				if (config().preEncodeConversation) {
+					this.triggerPreEncode(
+						allMessages,
+						assistantMessage,
+						streamedContent,
+						effectiveModel,
+						!!config().excludeReasoningFromContext
+					);
+				}
 			},
 			onError: (error: Error) => {
 				this.setStreamingActive(false);
 				if (isAbortError(error)) {
 					cleanupStreamingState();
+					// If aborted with a pending message (e.g. "Send immediately"), re-send it
+					const pending = this.consumePendingMessage(convId);
+					if (pending) {
+						this.sendMessage(pending.content, pending.extras);
+					}
 					return;
 				}
 				console.error('Streaming error:', error);
 				cleanupStreamingState();
+				this.clearPendingMessage(convId);
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				if (idx !== -1) {
 					const failedMessage = conversationsStore.removeMessageAtIndex(idx);
@@ -752,8 +835,7 @@ class ChatStore {
 
 		const perChatOverrides = conversationsStore.activeConversation?.mcpServerOverrides;
 
-		const agenticConfig = agenticStore.getConfig(config(), perChatOverrides);
-		if (agenticConfig.enabled) {
+		{
 			const agenticResult = await agenticStore.runAgenticFlow({
 				conversationId: convId,
 				messages: allMessages,
@@ -762,10 +844,16 @@ class ChatStore {
 				signal: abortController.signal,
 				perChatOverrides
 			});
-			if (agenticResult.handled) return;
+			if (agenticResult.handled) {
+				// Check if there's a pending steering message to re-send
+				const pending = agenticStore.consumePendingSteeringMessage(convId);
+				if (pending) {
+					await this.sendMessage(pending.content, pending.extras);
+				}
+				return;
+			}
 		}
 
-		// Non-agentic path: direct streaming into the single assistant message
 		await ChatService.sendMessage(
 			allMessages,
 			{
@@ -805,6 +893,12 @@ class ChatStore {
 					cleanupStreamingState();
 					if (onComplete) await onComplete(content);
 					if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+
+					// Check if there's a pending message queued during streaming
+					const pending = this.consumePendingMessage(convId);
+					if (pending) {
+						await this.sendMessage(pending.content, pending.extras);
+					}
 				},
 				onError: streamCallbacks.onError
 			},
@@ -825,6 +919,7 @@ class ChatStore {
 		this.setChatLoading(convId, false);
 		this.clearChatStreaming(convId);
 		this.setProcessingState(convId, null);
+		this.clearPendingMessage(convId);
 	}
 	private async savePartialResponseIfNeeded(convId?: string): Promise<void> {
 		const conversationId = convId || conversationsStore.activeConversation?.id;
@@ -882,7 +977,7 @@ class ChatStore {
 			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			const messagesToRemove = conversationsStore.activeMessages.slice(messageIndex + 1);
 			for (const message of messagesToRemove) await DatabaseService.deleteMessage(message.id);
@@ -911,6 +1006,7 @@ class ChatStore {
 	async regenerateMessage(messageId: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		this.cancelPreEncode();
 		const result = this.getMessageByIdWithRole(messageId, MessageRole.ASSISTANT);
 		if (!result) return;
 		const { index: messageIndex } = result;
@@ -940,6 +1036,7 @@ class ChatStore {
 	async regenerateMessageWithBranching(messageId: string, modelOverride?: string): Promise<void> {
 		const activeConv = conversationsStore.activeConversation;
 		if (!activeConv || this.isChatLoadingInternal(activeConv.id)) return;
+		this.cancelPreEncode();
 		try {
 			const idx = conversationsStore.findMessageIndex(messageId);
 			if (idx === -1) return;
@@ -1301,7 +1398,7 @@ class ChatStore {
 			if (rootMessage && msg.parent === rootMessage.id && newContent.trim()) {
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			}
 
@@ -1375,7 +1472,7 @@ class ChatStore {
 			if (isFirstUserMessage && newContent.trim())
 				await conversationsStore.updateConversationTitleWithConfirmation(
 					activeConv.id,
-					newContent.trim()
+					generateConversationTitle(newContent, Boolean(config().titleGenerationUseFirstLine))
 				);
 			await conversationsStore.refreshActiveMessages();
 			if (msg.role === MessageRole.USER)
@@ -1610,13 +1707,48 @@ class ChatStore {
 
 		if (currentConfig.samplers) apiOptions.samplers = currentConfig.samplers;
 
-		if (currentConfig.backend_sampling)
-			apiOptions.backend_sampling = currentConfig.backend_sampling;
+		apiOptions.backend_sampling = currentConfig.backend_sampling;
 
 		if (currentConfig.custom) apiOptions.custom = currentConfig.custom;
 
 		return apiOptions;
 	}
+
+	private cancelPreEncode(): void {
+		if (this.preEncodeAbortController) {
+			this.preEncodeAbortController.abort();
+			this.preEncodeAbortController = null;
+		}
+	}
+
+	private async triggerPreEncode(
+		allMessages: DatabaseMessage[],
+		assistantMessage: DatabaseMessage,
+		assistantContent: string,
+		model?: string | null,
+		excludeReasoning?: boolean
+	): Promise<void> {
+		this.cancelPreEncode();
+		this.preEncodeAbortController = new AbortController();
+
+		const signal = this.preEncodeAbortController.signal;
+
+		try {
+			const allIdle = await ChatService.areAllSlotsIdle(model, signal);
+			if (!allIdle || signal.aborted) return;
+
+			const messagesWithAssistant: DatabaseMessage[] = [
+				...allMessages,
+				{ ...assistantMessage, content: assistantContent }
+			];
+
+			await ChatService.preEncode(messagesWithAssistant, model, excludeReasoning, signal);
+		} catch (err) {
+			if (!isAbortError(err)) {
+				console.warn('[ChatStore] Pre-encode failed:', err);
+			}
+		}
+	}
 }
 
 export const chatStore = new ChatStore();
@@ -1633,3 +1765,13 @@ export const isChatStreaming = () => chatStore.isStreaming();
 export const isEditing = () => chatStore.isEditing();
 export const isLoading = () => chatStore.isLoading;
 export const pendingEditMessageId = () => chatStore.pendingEditMessageId;
+export const chatHasPendingMessage = (convId: string) => chatStore.hasPendingMessage(convId);
+export const chatPendingMessageContent = (convId: string) =>
+	chatStore.pendingMessageContent(convId);
+export const chatPendingMessageExtras = (convId: string) => chatStore.pendingMessageExtras(convId);
+export const chatClearPendingMessage = (convId: string) => chatStore.clearPendingMessage(convId);
+export const chatInjectPendingMessage = (
+	convId: string,
+	content: string,
+	extras?: DatabaseMessageExtra[]
+) => chatStore.injectPendingMessage(convId, content, extras);
diff --git a/tools/server/webui/src/lib/stores/conversations.svelte.ts b/tools/server/webui/src/lib/stores/conversations.svelte.ts
index 177155ea1..b6c95ed9b 100644
--- a/tools/server/webui/src/lib/stores/conversations.svelte.ts
+++ b/tools/server/webui/src/lib/stores/conversations.svelte.ts
@@ -23,9 +23,14 @@ import { browser } from '$app/environment';
 import { toast } from 'svelte-sonner';
 import { DatabaseService } from '$lib/services/database.service';
 import { config } from '$lib/stores/settings.svelte';
-import { filterByLeafNodeId, findLeafNode, runLegacyMigration } from '$lib/utils';
+import {
+	filterByLeafNodeId,
+	findLeafNode,
+	runLegacyMigration,
+	generateConversationTitle
+} from '$lib/utils';
 import type { McpServerOverride } from '$lib/types/database';
-import { MessageRole } from '$lib/enums';
+import { MessageRole, HtmlInputType, FileExtensionText } from '$lib/enums';
 import {
 	ISO_DATE_TIME_SEPARATOR,
 	ISO_DATE_TIME_SEPARATOR_REPLACEMENT,
@@ -548,7 +553,10 @@ class ConversationsStore {
 			) {
 				await this.updateConversationTitleWithConfirmation(
 					this.activeConversation.id,
-					newFirstUserMessage.content.trim()
+					generateConversationTitle(
+						newFirstUserMessage.content,
+						Boolean(config().titleGenerationUseFirstLine)
+					)
 				);
 			}
 		}
@@ -789,7 +797,15 @@ class ConversationsStore {
 			return;
 		}
 
-		const downloadFilename = filename ?? this.generateConversationFilename(conversation, msgs);
+		let downloadFilename: string;
+
+		if (filename) {
+			downloadFilename = filename;
+		} else if (Array.isArray(data) && data.length > 1) {
+			downloadFilename = `${new Date().toISOString().split(ISO_DATE_TIME_SEPARATOR)[0]}_conversations.json`;
+		} else {
+			downloadFilename = this.generateConversationFilename(conversation, msgs);
+		}
 
 		const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
 		const url = URL.createObjectURL(blob);
@@ -830,8 +846,8 @@ class ConversationsStore {
 	async importConversations(): Promise<DatabaseConversation[]> {
 		return new Promise((resolve, reject) => {
 			const input = document.createElement('input');
-			input.type = 'file';
-			input.accept = '.json';
+			input.type = HtmlInputType.FILE;
+			input.accept = FileExtensionText.JSON;
 
 			input.onchange = async (e) => {
 				const file = (e.target as HTMLInputElement)?.files?.[0];
diff --git a/tools/server/webui/src/lib/stores/draft-messages.svelte.ts b/tools/server/webui/src/lib/stores/draft-messages.svelte.ts
new file mode 100644
index 000000000..7ee814d84
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/draft-messages.svelte.ts
@@ -0,0 +1,31 @@
+import { NEW_CHAT_DRAFT_KEY } from '$lib/constants';
+
+interface DraftMessage {
+	message: string;
+	files: ChatUploadedFile[];
+}
+
+class DraftMessagesStore {
+	private drafts = new Map<string, DraftMessage>();
+
+	getDraftMessage(chatId: string | undefined): DraftMessage {
+		const key = chatId ?? NEW_CHAT_DRAFT_KEY;
+		return this.drafts.get(key) ?? { message: '', files: [] };
+	}
+
+	saveDraftMessage(chatId: string | undefined, message: string, files: ChatUploadedFile[]): void {
+		const key = chatId ?? NEW_CHAT_DRAFT_KEY;
+		if (message || files.length > 0) {
+			this.drafts.set(key, { message, files: [...files] });
+		} else {
+			this.drafts.delete(key);
+		}
+	}
+
+	clearDraftMessage(chatId: string | undefined): void {
+		const key = chatId ?? NEW_CHAT_DRAFT_KEY;
+		this.drafts.delete(key);
+	}
+}
+
+export const draftMessagesStore = new DraftMessagesStore();
diff --git a/tools/server/webui/src/lib/stores/mcp.svelte.ts b/tools/server/webui/src/lib/stores/mcp.svelte.ts
index efc8cf060..7f97b16bf 100644
--- a/tools/server/webui/src/lib/stores/mcp.svelte.ts
+++ b/tools/server/webui/src/lib/stores/mcp.svelte.ts
@@ -26,11 +26,10 @@ import { config, settingsStore } from '$lib/stores/settings.svelte';
 import { mcpResourceStore } from '$lib/stores/mcp-resources.svelte';
 import { mode } from 'mode-watcher';
 import {
-	getProxiedUrlString,
 	parseMcpServerSettings,
 	detectMcpTransportFromUrl,
-	getFaviconUrl,
-	uuid
+	uuid,
+	extractRootDomain
 } from '$lib/utils';
 import {
 	MCPConnectionPhase,
@@ -413,7 +412,9 @@ class MCPStore {
 	#isValidIconUri(src: string): boolean {
 		try {
 			if (src.startsWith(UrlProtocol.DATA)) return true;
+
 			const url = new URL(src);
+
 			return url.protocol === UrlProtocol.HTTPS;
 		} catch {
 			return false;
@@ -446,40 +447,29 @@ class MCPStore {
 
 		// 1. Prefer icon explicitly matching the current color scheme
 		const themedIcon = validIcons.find((icon) => icon.theme === preferredTheme);
-		if (themedIcon) return this.#proxyIconSrc(themedIcon.src);
+		if (themedIcon) return themedIcon.src;
 
 		// 2. Handle universal icons (no theme specified)
 		const universalIcons = validIcons.filter((icon) => !icon.theme);
 
 		if (universalIcons.length === EXPECTED_THEMED_ICON_PAIR_COUNT) {
 			// Heuristic: two theme-less icons → assume [0] = light, [1] = dark
-			return this.#proxyIconSrc(universalIcons[isDark ? 1 : 0].src);
+			return universalIcons[isDark ? 1 : 0].src;
 		}
 
 		if (universalIcons.length > 0) {
-			return this.#proxyIconSrc(universalIcons[0].src);
+			return universalIcons[0].src;
 		}
 
 		// 3. Last resort: use opposite-theme icon
-		return this.#proxyIconSrc(validIcons[0].src);
-	}
-
-	/**
-	 * Route an icon src through the CORS proxy if it's an HTTPS URL.
-	 * Data URIs are returned as-is.
-	 */
-	#proxyIconSrc(src: string): string {
-		if (src.startsWith('data:')) return src;
-		if (!this._proxyAvailable) return src;
-
-		return getProxiedUrlString(src);
+		return validIcons[0].src;
 	}
 
 	/**
 	 * Get icon URL for an MCP server by its ID.
-	 * Prefers the server's own icons (from MCP spec) and falls back
-	 * to Google's favicon service.
-	 * Returns null if server is not found.
+	 * Returns the best icon from the MCP server's `icons` array
+	 * (see MCP spec: spec.modelcontextprotocol.io).
+	 * Returns null if no icon is available.
 	 */
 	getServerFavicon(serverId: string): string | null {
 		const server = this.getServerById(serverId);
@@ -497,7 +487,39 @@ class MCPStore {
 			}
 		}
 
-		return getFaviconUrl(server.url, this._proxyAvailable);
+		// Fallback: try favicon from root domain
+		const fallbackUrl = this.#getServerFaviconFallback(server.url);
+		if (fallbackUrl) {
+			return fallbackUrl;
+		}
+
+		return null;
+	}
+
+	/**
+	 * Construct a fallback favicon URL from the MCP server URL.
+	 * e.g. https://mcp.exa.ai/mcp -> https://exa.ai/favicon.ico
+	 */
+	#getServerFaviconFallback(serverUrl: string): string | null {
+		try {
+			const url = new URL(serverUrl);
+			const rootDomain = extractRootDomain(url);
+			if (!rootDomain) return null;
+
+			const origin = `${url.protocol}//${rootDomain}`;
+			const candidates = ['favicon.ico', 'favicon.svg', 'favicon.png'];
+
+			for (const path of candidates) {
+				const faviconUrl = `${origin}/${path}`;
+				if (this.#isValidIconUri(faviconUrl)) {
+					return faviconUrl;
+				}
+			}
+		} catch {
+			// Invalid URL, return null
+		}
+
+		return null;
 	}
 
 	isAnyServerLoading(): boolean {
@@ -1460,12 +1482,14 @@ class MCPStore {
 		} catch (error) {
 			const message = error instanceof Error ? error.message : 'Unknown error occurred';
 
-			logs.push({
-				timestamp: new Date(),
-				phase: MCPConnectionPhase.ERROR,
-				message: `Connection failed: ${message}`,
-				level: MCPLogLevel.ERROR
-			});
+			if (logs.at(-1)?.phase !== MCPConnectionPhase.ERROR) {
+				logs.push({
+					timestamp: new Date(),
+					phase: MCPConnectionPhase.ERROR,
+					message: `Connection failed: ${message}`,
+					level: MCPLogLevel.ERROR
+				});
+			}
 
 			this.updateHealthCheck(server.id, {
 				status: HealthCheckStatus.ERROR,
diff --git a/tools/server/webui/src/lib/stores/models.svelte.ts b/tools/server/webui/src/lib/stores/models.svelte.ts
index d7c885844..aa99b89b4 100644
--- a/tools/server/webui/src/lib/stores/models.svelte.ts
+++ b/tools/server/webui/src/lib/stores/models.svelte.ts
@@ -1,7 +1,8 @@
 import { SvelteMap, SvelteSet } from 'svelte/reactivity';
 import { toast } from 'svelte-sonner';
 import { ServerModelStatus, ModelModality } from '$lib/enums';
-import { ModelsService, PropsService } from '$lib/services';
+import { ModelsService } from '$lib/services/models.service';
+import { PropsService } from '$lib/services/props.service';
 import { serverStore } from '$lib/stores/server.svelte';
 import { TTLCache } from '$lib/utils';
 import {
@@ -54,6 +55,10 @@ class ModelsStore {
 	selectedModelId = $state<string | null>(null);
 	selectedModelName = $state<string | null>(null);
 
+	// dedup concurrent fetch() callers, all awaiters share the same inflight promise
+	// without this, ?model=<name> URL handler raced an in-progress fetch and saw an empty list
+	private inflightFetch: Promise<void> | null = null;
+
 	private modelUsage = $state<Map<string, SvelteSet<string>>>(new Map());
 	private modelLoadingStates = new SvelteMap<string, boolean>();
 
@@ -257,9 +262,18 @@ class ModelsStore {
 	 * Also fetches modalities for MODEL mode (single model)
 	 */
 	async fetch(force = false): Promise<void> {
-		if (this.loading) return;
+		if (this.inflightFetch) return this.inflightFetch;
 		if (this.models.length > 0 && !force) return;
 
+		this.inflightFetch = this.runFetch();
+		try {
+			await this.inflightFetch;
+		} finally {
+			this.inflightFetch = null;
+		}
+	}
+
+	private async runFetch(): Promise<void> {
 		this.loading = true;
 		this.error = null;
 
diff --git a/tools/server/webui/src/lib/stores/permissions.svelte.ts b/tools/server/webui/src/lib/stores/permissions.svelte.ts
new file mode 100644
index 000000000..f44575b54
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/permissions.svelte.ts
@@ -0,0 +1,58 @@
+import { ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY } from '$lib/constants';
+import { SvelteSet } from 'svelte/reactivity';
+
+class PermissionsStore {
+	private _tools = $state(new SvelteSet<string>());
+
+	constructor() {
+		try {
+			const stored = localStorage.getItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY);
+			if (stored) {
+				for (const name of JSON.parse(stored) as string[]) {
+					if (typeof name === 'string') this._tools.add(name);
+				}
+			}
+		} catch (err) {
+			console.error(
+				`Failed to load permissions from localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,
+				err
+			);
+		}
+	}
+
+	get tools(): ReadonlySet<string> {
+		return this._tools;
+	}
+
+	hasTool(key: string): boolean {
+		return this._tools.has(key);
+	}
+
+	allowTool(key: string): void {
+		this._tools.add(key);
+		this._persist();
+	}
+
+	allowTools(keys: string[]): void {
+		for (const key of keys) this._tools.add(key);
+		this._persist();
+	}
+
+	revokeTool(key: string): void {
+		this._tools.delete(key);
+		this._persist();
+	}
+
+	private _persist(): void {
+		try {
+			localStorage.setItem(ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY, JSON.stringify([...this._tools]));
+		} catch (err) {
+			console.error(
+				`Failed to persist to localStorage ("${ALWAYS_ALLOWED_TOOLS_LOCALSTORAGE_KEY}"):`,
+				err
+			);
+		}
+	}
+}
+
+export const permissionsStore = new PermissionsStore();
diff --git a/tools/server/webui/src/lib/stores/settings-referrer.svelte.ts b/tools/server/webui/src/lib/stores/settings-referrer.svelte.ts
new file mode 100644
index 000000000..48bae1170
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/settings-referrer.svelte.ts
@@ -0,0 +1,10 @@
+let _url = $state('#/');
+
+export const settingsReferrer = {
+	get url() {
+		return _url;
+	},
+	set url(value: string) {
+		_url = value;
+	}
+};
diff --git a/tools/server/webui/src/lib/stores/settings.svelte.ts b/tools/server/webui/src/lib/stores/settings.svelte.ts
index 9d5e77adf..e1d898445 100644
--- a/tools/server/webui/src/lib/stores/settings.svelte.ts
+++ b/tools/server/webui/src/lib/stores/settings.svelte.ts
@@ -37,6 +37,7 @@ import {
 	SETTING_CONFIG_DEFAULT,
 	USER_OVERRIDES_LOCALSTORAGE_KEY
 } from '$lib/constants';
+import { IsMobile } from '$lib/hooks/is-mobile.svelte';
 import { ParameterSyncService } from '$lib/services/parameter-sync.service';
 import { serverStore } from '$lib/stores/server.svelte';
 import {
@@ -122,6 +123,13 @@ class SettingsStore {
 				...savedVal
 			};
 
+			// Default sendOnEnter to false on mobile when the user has no saved preference
+			if (!('sendOnEnter' in savedVal)) {
+				if (new IsMobile().current) {
+					this.config.sendOnEnter = false;
+				}
+			}
+
 			// Load user overrides
 			const savedOverrides = JSON.parse(
 				localStorage.getItem(USER_OVERRIDES_LOCALSTORAGE_KEY) || '[]'
@@ -319,6 +327,9 @@ class SettingsStore {
 		const propsDefaults = this.getServerDefaults();
 		if (Object.keys(propsDefaults).length === 0) return;
 
+		const webuiSettings = serverStore.webuiSettings;
+		const webuiSettingsKeys = new Set(webuiSettings ? Object.keys(webuiSettings) : []);
+
 		for (const [key, propsValue] of Object.entries(propsDefaults)) {
 			const currentValue = getConfigValue(this.config, key);
 
@@ -328,12 +339,18 @@ class SettingsStore {
 			// if user value matches server, it's not a real override
 			if (normalizedCurrent === normalizedDefault) {
 				this.userOverrides.delete(key);
+
+				if (
+					!webuiSettingsKeys.has(key) &&
+					getConfigValue(SETTING_CONFIG_DEFAULT, key) === undefined
+				) {
+					setConfigValue(this.config, key, undefined);
+				}
 			}
 		}
 
 		// webui settings need actual values in config (no placeholder mechanism),
 		// so write them for non-overridden keys
-		const webuiSettings = serverStore.webuiSettings;
 		if (webuiSettings) {
 			for (const [key, value] of Object.entries(webuiSettings)) {
 				if (!this.userOverrides.has(key) && value !== undefined) {
diff --git a/tools/server/webui/src/lib/stores/tools.svelte.ts b/tools/server/webui/src/lib/stores/tools.svelte.ts
new file mode 100644
index 000000000..d55736d02
--- /dev/null
+++ b/tools/server/webui/src/lib/stores/tools.svelte.ts
@@ -0,0 +1,422 @@
+import type { OpenAIToolDefinition, ToolEntry, ToolGroup } from '$lib/types';
+import { ToolsService } from '$lib/services/tools.service';
+import { mcpStore } from '$lib/stores/mcp.svelte';
+import { HealthCheckStatus, JsonSchemaType, ToolCallType, ToolSource } from '$lib/enums';
+import { config } from '$lib/stores/settings.svelte';
+import {
+	DISABLED_TOOLS_LOCALSTORAGE_KEY,
+	TOOL_GROUP_LABELS,
+	TOOL_SERVER_LABELS
+} from '$lib/constants';
+import { SvelteSet } from 'svelte/reactivity';
+
+class ToolsStore {
+	private _builtinTools = $state<OpenAIToolDefinition[]>([]);
+	private _loading = $state(false);
+	private _error = $state<string | null>(null);
+	private _disabledTools = $state(new SvelteSet<string>());
+	private _toolsEndpointUnreachable = $state(false);
+
+	constructor() {
+		try {
+			const stored = localStorage.getItem(DISABLED_TOOLS_LOCALSTORAGE_KEY);
+			if (stored) {
+				const parsed = JSON.parse(stored);
+				if (Array.isArray(parsed)) {
+					for (const name of parsed) {
+						if (typeof name === 'string') this._disabledTools.add(name);
+					}
+				}
+			}
+		} catch (err) {
+			console.error('[ToolsStore] Failed to load disabled tools from localStorage:', err);
+		}
+
+		// Initialize builtin tools on startup
+		this.fetchBuiltinTools();
+	}
+
+	private persistDisabledTools(): void {
+		try {
+			localStorage.setItem(
+				DISABLED_TOOLS_LOCALSTORAGE_KEY,
+				JSON.stringify([...this._disabledTools])
+			);
+		} catch {
+			// ignore storage errors
+		}
+	}
+
+	get builtinTools(): OpenAIToolDefinition[] {
+		return this._builtinTools;
+	}
+
+	get mcpTools(): OpenAIToolDefinition[] {
+		return mcpStore.getToolDefinitionsForLLM();
+	}
+
+	get customTools(): OpenAIToolDefinition[] {
+		const raw = config().custom;
+		if (!raw || typeof raw !== 'string') return [];
+
+		try {
+			const parsed = JSON.parse(raw);
+			if (!Array.isArray(parsed)) return [];
+
+			return parsed.filter(
+				(t: unknown): t is OpenAIToolDefinition =>
+					typeof t === 'object' &&
+					t !== null &&
+					'type' in t &&
+					(t as OpenAIToolDefinition).type === 'function' &&
+					'function' in t &&
+					typeof (t as OpenAIToolDefinition).function?.name === 'string'
+			);
+		} catch {
+			return [];
+		}
+	}
+
+	/** Flat list of all tool entries with source metadata */
+	get allTools(): ToolEntry[] {
+		const entries: ToolEntry[] = [];
+
+		for (const def of this._builtinTools) {
+			entries.push({ source: ToolSource.BUILTIN, definition: def });
+		}
+
+		// Use live connections when available (full schema), fall back to health check data
+		const connections = mcpStore.getConnections();
+		if (connections.size > 0) {
+			for (const [serverId, connection] of connections) {
+				const serverName = mcpStore.getServerDisplayName(serverId);
+				for (const tool of connection.tools) {
+					const rawSchema = (tool.inputSchema as Record<string, unknown>) ?? {
+						type: JsonSchemaType.OBJECT,
+						properties: {},
+						required: []
+					};
+					entries.push({
+						source: ToolSource.MCP,
+						serverName,
+						serverId,
+						definition: {
+							type: ToolCallType.FUNCTION,
+							function: {
+								name: tool.name,
+								description: tool.description,
+								parameters: rawSchema
+							}
+						}
+					});
+				}
+			}
+		} else {
+			for (const { serverId, serverName, tools } of this.getMcpToolsFromHealthChecks()) {
+				for (const tool of tools) {
+					entries.push({
+						source: ToolSource.MCP,
+						serverName,
+						serverId,
+						definition: {
+							type: ToolCallType.FUNCTION,
+							function: {
+								name: tool.name,
+								description: tool.description,
+								parameters: { type: JsonSchemaType.OBJECT, properties: {}, required: [] }
+							}
+						}
+					});
+				}
+			}
+		}
+
+		for (const def of this.customTools) {
+			entries.push({ source: ToolSource.CUSTOM, definition: def });
+		}
+
+		return entries;
+	}
+
+	/** Tools grouped by category for tree display */
+	get toolGroups(): ToolGroup[] {
+		const groups: ToolGroup[] = [];
+
+		if (this._builtinTools.length > 0) {
+			groups.push({
+				source: ToolSource.BUILTIN,
+				label: TOOL_GROUP_LABELS[ToolSource.BUILTIN],
+				tools: this._builtinTools
+			});
+		}
+
+		// Use live connections when available, fall back to health check data
+		const connections = mcpStore.getConnections();
+		if (connections.size > 0) {
+			for (const [serverId, connection] of connections) {
+				if (connection.tools.length === 0) continue;
+				const label = mcpStore.getServerDisplayName(serverId);
+				const tools: OpenAIToolDefinition[] = connection.tools.map((tool) => {
+					const rawSchema = (tool.inputSchema as Record<string, unknown>) ?? {
+						type: JsonSchemaType.OBJECT,
+						properties: {},
+						required: []
+					};
+					return {
+						type: ToolCallType.FUNCTION,
+						function: {
+							name: tool.name,
+							description: tool.description,
+							parameters: rawSchema
+						}
+					};
+				});
+				groups.push({ source: ToolSource.MCP, label, serverId, tools });
+			}
+		} else {
+			for (const { serverId, serverName, tools } of this.getMcpToolsFromHealthChecks()) {
+				if (tools.length === 0) continue;
+				const defs: OpenAIToolDefinition[] = tools.map((tool) => ({
+					type: ToolCallType.FUNCTION,
+					function: {
+						name: tool.name,
+						description: tool.description,
+						parameters: { type: JsonSchemaType.OBJECT, properties: {}, required: [] }
+					}
+				}));
+				groups.push({ source: ToolSource.MCP, label: serverName, serverId, tools: defs });
+			}
+		}
+
+		const custom = this.customTools;
+		if (custom.length > 0) {
+			groups.push({
+				source: ToolSource.CUSTOM,
+				label: TOOL_GROUP_LABELS[ToolSource.CUSTOM],
+				tools: custom
+			});
+		}
+
+		return groups;
+	}
+
+	/** Only enabled tool definitions (for sending to the API) */
+	get enabledToolDefinitions(): OpenAIToolDefinition[] {
+		return this.allTools
+			.filter((t) => !this._disabledTools.has(t.definition.function.name))
+			.map((t) => t.definition);
+	}
+
+	/**
+	 * Returns enabled tool definitions for sending to the LLM.
+	 * MCP tools use properly normalized schemas from mcpStore.
+	 * Filters out tools disabled via the UI checkboxes.
+	 */
+	getEnabledToolsForLLM(): OpenAIToolDefinition[] {
+		const disabled = this._disabledTools;
+		const result: OpenAIToolDefinition[] = [];
+
+		for (const tool of this._builtinTools) {
+			if (!disabled.has(tool.function.name)) {
+				result.push(tool);
+			}
+		}
+
+		// MCP tools with properly normalized schemas
+		for (const tool of mcpStore.getToolDefinitionsForLLM()) {
+			if (!disabled.has(tool.function.name)) {
+				result.push(tool);
+			}
+		}
+
+		for (const tool of this.customTools) {
+			if (!disabled.has(tool.function.name)) {
+				result.push(tool);
+			}
+		}
+
+		return result;
+	}
+
+	get allToolDefinitions(): OpenAIToolDefinition[] {
+		return this.allTools.map((t) => t.definition);
+	}
+
+	get loading(): boolean {
+		return this._loading;
+	}
+
+	get error(): string | null {
+		return this._error;
+	}
+
+	get isToolsEndpointUnreachable(): boolean {
+		return this._toolsEndpointUnreachable;
+	}
+
+	get disabledTools(): SvelteSet<string> {
+		return this._disabledTools;
+	}
+
+	isToolEnabled(toolName: string): boolean {
+		return !this._disabledTools.has(toolName);
+	}
+
+	toggleTool(toolName: string): void {
+		if (this._disabledTools.has(toolName)) {
+			this._disabledTools.delete(toolName);
+		} else {
+			this._disabledTools.add(toolName);
+		}
+		this.persistDisabledTools();
+	}
+
+	setToolEnabled(toolName: string, enabled: boolean): void {
+		if (enabled) {
+			this._disabledTools.delete(toolName);
+		} else {
+			this._disabledTools.add(toolName);
+		}
+	}
+
+	/**
+	 * Enable all tools belonging to a specific MCP server.
+	 * Called when a server is enabled for a conversation.
+	 */
+	enableAllToolsForServer(serverId: string): void {
+		const connection = mcpStore.getConnections().get(serverId);
+		if (!connection) return;
+		for (const tool of connection.tools) {
+			this._disabledTools.delete(tool.name);
+		}
+		this.persistDisabledTools();
+	}
+
+	toggleGroup(group: ToolGroup): void {
+		const allEnabled = group.tools.every((t) => this.isToolEnabled(t.function.name));
+		for (const tool of group.tools) {
+			this.setToolEnabled(tool.function.name, !allEnabled);
+		}
+		this.persistDisabledTools();
+	}
+
+	isGroupFullyEnabled(group: ToolGroup): boolean {
+		return group.tools.length > 0 && group.tools.every((t) => this.isToolEnabled(t.function.name));
+	}
+
+	isGroupPartiallyEnabled(group: ToolGroup): boolean {
+		const enabledCount = group.tools.filter((t) => this.isToolEnabled(t.function.name)).length;
+		return enabledCount > 0 && enabledCount < group.tools.length;
+	}
+
+	/**
+	 * Get MCP tools from health check data (reactive).
+	 * Used when live connections aren't established yet.
+	 */
+	private getMcpToolsFromHealthChecks(): {
+		serverId: string;
+		serverName: string;
+		tools: { name: string; description?: string }[];
+	}[] {
+		const result: ReturnType<ToolsStore['getMcpToolsFromHealthChecks']> = [];
+		for (const server of mcpStore.getServersSorted().filter((s) => s.enabled)) {
+			const health = mcpStore.getHealthCheckState(server.id);
+			if (health.status === HealthCheckStatus.SUCCESS && health.tools.length > 0) {
+				result.push({
+					serverId: server.id,
+					serverName: mcpStore.getServerLabel(server),
+					tools: health.tools
+				});
+			}
+		}
+		return result;
+	}
+
+	/** Determine the source of a tool by its name. */
+	getToolSource(toolName: string): ToolSource | null {
+		if (this._builtinTools.some((t) => t.function.name === toolName)) {
+			return ToolSource.BUILTIN;
+		}
+		for (const entry of this.allTools) {
+			if (entry.definition.function.name === toolName) {
+				return entry.source;
+			}
+		}
+		return null;
+	}
+
+	/** Get the display label for the server that owns a given tool. */
+	getToolServerLabel(toolName: string): string {
+		for (const entry of this.allTools) {
+			if (entry.definition.function.name === toolName) {
+				if (entry.serverName) {
+					return mcpStore.getServerDisplayName(entry.serverName);
+				}
+				if (entry.source === ToolSource.BUILTIN) {
+					return TOOL_SERVER_LABELS[ToolSource.BUILTIN];
+				}
+				if (entry.source === ToolSource.CUSTOM) {
+					return TOOL_SERVER_LABELS[ToolSource.CUSTOM];
+				}
+			}
+		}
+		return '';
+	}
+
+	/** Build a permission key with category prefix, e.g. "mcp-<serverId>:tool_name" */
+	getPermissionKey(toolName: string): string | null {
+		for (const entry of this.allTools) {
+			if (entry.definition.function.name === toolName) {
+				switch (entry.source) {
+					case ToolSource.BUILTIN:
+						return `builtin:${toolName}`;
+					case ToolSource.CUSTOM:
+						return `custom:${toolName}`;
+					case ToolSource.MCP:
+						if (entry.serverId) {
+							return `mcp-${entry.serverId}:${toolName}`;
+						}
+						return `mcp:${toolName}`;
+					default:
+						return null;
+				}
+			}
+		}
+		return null;
+	}
+
+	/** Check if there are any enabled tools available (builtin, MCP, or custom). */
+	get hasEnabledTools(): boolean {
+		return this.getEnabledToolsForLLM().length > 0;
+	}
+
+	async fetchBuiltinTools(): Promise<void> {
+		if (this._loading) return;
+
+		this._loading = true;
+		this._error = null;
+		this._toolsEndpointUnreachable = false;
+
+		try {
+			const toolInfos = await ToolsService.list();
+			this._builtinTools = toolInfos.map((info) => info.definition);
+		} catch (err) {
+			const errorMessage = err instanceof Error ? err.message : String(err);
+			this._error = errorMessage;
+			// 404 from /tools means the server was started without --tools
+			if (errorMessage.includes('404') || errorMessage.toLowerCase().includes('not found')) {
+				this._toolsEndpointUnreachable = true;
+			}
+			console.error('[ToolsStore] Failed to fetch built-in tools:', err);
+		} finally {
+			this._loading = false;
+		}
+	}
+}
+
+export const toolsStore = new ToolsStore();
+
+export const allTools = () => toolsStore.allTools;
+export const allToolDefinitions = () => toolsStore.allToolDefinitions;
+export const enabledToolDefinitions = () => toolsStore.enabledToolDefinitions;
+export const toolGroups = () => toolsStore.toolGroups;
diff --git a/tools/server/webui/src/lib/types/agentic.d.ts b/tools/server/webui/src/lib/types/agentic.d.ts
index ecf296fc3..b94998384 100644
--- a/tools/server/webui/src/lib/types/agentic.d.ts
+++ b/tools/server/webui/src/lib/types/agentic.d.ts
@@ -41,6 +41,7 @@ export type AgenticMessage =
 	| {
 			role: MessageRole.ASSISTANT;
 			content?: string | ApiChatMessageContentPart[];
+			reasoning_content?: string;
 			tool_calls?: AgenticToolCallPayload[];
 	  }
 	| {
@@ -68,6 +69,7 @@ export interface AgenticSession {
 	totalToolCalls: number;
 	lastError: Error | null;
 	streamingToolCall: { name: string; arguments: string } | null;
+	pendingPermissionRequest: { toolName: string; serverLabel: string } | null;
 }
 
 /**
@@ -146,3 +148,11 @@ export interface AgenticFlowResult {
 	handled: boolean;
 	error?: Error;
 }
+
+/**
+ * A user message to be injected into the agentic loop between turns.
+ */
+export interface SteeringMessage {
+	content: string;
+	extras?: DatabaseMessageExtra[];
+}
diff --git a/tools/server/webui/src/lib/types/chat.d.ts b/tools/server/webui/src/lib/types/chat.d.ts
index 431cf523a..acedd0769 100644
--- a/tools/server/webui/src/lib/types/chat.d.ts
+++ b/tools/server/webui/src/lib/types/chat.d.ts
@@ -25,8 +25,6 @@ export interface ChatAttachmentDisplayItem {
 	size?: number;
 	preview?: string;
 	isImage: boolean;
-	isMcpPrompt?: boolean;
-	isMcpResource?: boolean;
 	isLoading?: boolean;
 	loadError?: string;
 	uploadedFile?: ChatUploadedFile;
@@ -35,15 +33,6 @@ export interface ChatAttachmentDisplayItem {
 	textContent?: string;
 }
 
-export interface ChatAttachmentPreviewItem {
-	uploadedFile?: ChatUploadedFile;
-	attachment?: DatabaseMessageExtra;
-	preview?: string;
-	name?: string;
-	size?: number;
-	textContent?: string;
-}
-
 export interface ChatMessageSiblingInfo {
 	message: DatabaseMessage;
 	siblingIds: string[];
diff --git a/tools/server/webui/src/lib/types/database.d.ts b/tools/server/webui/src/lib/types/database.d.ts
index 2f96ef3f7..fde335de3 100644
--- a/tools/server/webui/src/lib/types/database.d.ts
+++ b/tools/server/webui/src/lib/types/database.d.ts
@@ -18,6 +18,7 @@ export interface DatabaseConversation {
 export interface DatabaseMessageExtraAudioFile {
 	type: AttachmentType.AUDIO;
 	name: string;
+	size?: number;
 	base64Data: string;
 	mimeType: string;
 }
@@ -25,6 +26,7 @@ export interface DatabaseMessageExtraAudioFile {
 export interface DatabaseMessageExtraImageFile {
 	type: AttachmentType.IMAGE;
 	name: string;
+	size?: number;
 	base64Url: string;
 }
 
@@ -35,6 +37,7 @@ export interface DatabaseMessageExtraImageFile {
 export interface DatabaseMessageExtraLegacyContext {
 	type: AttachmentType.LEGACY_CONTEXT;
 	name: string;
+	size?: number;
 	content: string;
 }
 
@@ -42,6 +45,7 @@ export interface DatabaseMessageExtraPdfFile {
 	type: AttachmentType.PDF;
 	base64Data: string;
 	name: string;
+	size?: number;
 	content: string;
 	images?: string[];
 	processedAsImages: boolean;
@@ -50,12 +54,14 @@ export interface DatabaseMessageExtraPdfFile {
 export interface DatabaseMessageExtraTextFile {
 	type: AttachmentType.TEXT;
 	name: string;
+	size?: number;
 	content: string;
 }
 
 export interface DatabaseMessageExtraMcpPrompt {
 	type: AttachmentType.MCP_PROMPT;
 	name: string;
+	size?: number;
 	serverName: string;
 	promptName: string;
 	content: string;
@@ -65,6 +71,7 @@ export interface DatabaseMessageExtraMcpPrompt {
 export interface DatabaseMessageExtraMcpResource {
 	type: AttachmentType.MCP_RESOURCE;
 	name: string;
+	size?: number;
 	uri: string;
 	serverName: string;
 	content: string;
diff --git a/tools/server/webui/src/lib/types/index.ts b/tools/server/webui/src/lib/types/index.ts
index 93a39f03d..2ce398060 100644
--- a/tools/server/webui/src/lib/types/index.ts
+++ b/tools/server/webui/src/lib/types/index.ts
@@ -36,7 +36,6 @@ export type {
 export type {
 	ChatUploadedFile,
 	ChatAttachmentDisplayItem,
-	ChatAttachmentPreviewItem,
 	ChatMessageSiblingInfo,
 	ChatMessagePromptProgress,
 	ChatMessageTimings,
@@ -116,6 +115,7 @@ export type {
 	ServerStatus,
 	ToolCallParams,
 	ToolExecutionResult,
+	ServerBuiltinToolInfo,
 	Tool,
 	Prompt,
 	GetPromptResult,
@@ -149,5 +149,9 @@ export type {
 	AgenticFlowCallbacks,
 	AgenticFlowOptions,
 	AgenticFlowParams,
-	AgenticFlowResult
+	AgenticFlowResult,
+	SteeringMessage
 } from './agentic';
+
+// Tools types
+export type { ToolEntry, ToolGroup } from './tools';
diff --git a/tools/server/webui/src/lib/types/mcp.d.ts b/tools/server/webui/src/lib/types/mcp.d.ts
index 2ce2f7399..3837bcdf1 100644
--- a/tools/server/webui/src/lib/types/mcp.d.ts
+++ b/tools/server/webui/src/lib/types/mcp.d.ts
@@ -1,4 +1,5 @@
 import type { MCPConnectionPhase, MCPLogLevel, HealthCheckStatus } from '$lib/enums/mcp';
+import type { ToolSource } from '$lib/enums/tools';
 import type {
 	Client,
 	ClientCapabilities as SDKClientCapabilities,
@@ -256,6 +257,16 @@ export interface ToolExecutionResult {
 	isError: boolean;
 }
 
+export interface ServerBuiltinToolInfo {
+	display_name: string;
+	tool: string;
+	type: ToolSource.BUILTIN;
+	permissions: {
+		write: boolean;
+	};
+	definition: OpenAIToolDefinition;
+}
+
 /**
  * Progress tracking state for a specific operation
  */
diff --git a/tools/server/webui/src/lib/types/tools.d.ts b/tools/server/webui/src/lib/types/tools.d.ts
new file mode 100644
index 000000000..a17a0c9a9
--- /dev/null
+++ b/tools/server/webui/src/lib/types/tools.d.ts
@@ -0,0 +1,19 @@
+import type { ToolSource } from '$lib/enums';
+import type { OpenAIToolDefinition } from './mcp';
+
+export interface ToolEntry {
+	source: ToolSource;
+	/** For MCP tools, the server display name (used for UI grouping) */
+	serverName?: string;
+	/** For MCP tools, the server ID (used for permission keys) */
+	serverId?: string;
+	definition: OpenAIToolDefinition;
+}
+
+export interface ToolGroup {
+	source: ToolSource;
+	label: string;
+	/** For MCP groups, the server ID */
+	serverId?: string;
+	tools: OpenAIToolDefinition[];
+}
diff --git a/tools/server/webui/src/lib/utils/agentic.ts b/tools/server/webui/src/lib/utils/agentic.ts
index 5ec4683fa..549a1c9a0 100644
--- a/tools/server/webui/src/lib/utils/agentic.ts
+++ b/tools/server/webui/src/lib/utils/agentic.ts
@@ -38,14 +38,19 @@ export type ToolResultLine = {
 function deriveSingleTurnSections(
 	message: DatabaseMessage,
 	toolMessages: DatabaseMessage[] = [],
-	streamingToolCalls: ApiChatCompletionToolCall[] = []
+	streamingToolCalls: ApiChatCompletionToolCall[] = [],
+	isStreaming: boolean = false
 ): AgenticSection[] {
 	const sections: AgenticSection[] = [];
 
 	// 1. Reasoning content (from dedicated field)
 	if (message.reasoningContent) {
+		const toolCalls = parseToolCalls(message.toolCalls);
+		const hasContentAfterReasoning =
+			!!message.content?.trim() || toolCalls.length > 0 || streamingToolCalls.length > 0;
+		const isPending = isStreaming && !hasContentAfterReasoning;
 		sections.push({
-			type: AgenticSectionType.REASONING,
+			type: isPending ? AgenticSectionType.REASONING_PENDING : AgenticSectionType.REASONING,
 			content: message.reasoningContent
 		});
 	}
@@ -62,8 +67,14 @@ function deriveSingleTurnSections(
 	const toolCalls = parseToolCalls(message.toolCalls);
 	for (const tc of toolCalls) {
 		const resultMsg = toolMessages.find((m) => m.toolCallId === tc.id);
+		// Only show as pending/loading if we're actively streaming; otherwise it's just a tool call without result
+		const type = resultMsg
+			? AgenticSectionType.TOOL_CALL
+			: isStreaming
+				? AgenticSectionType.TOOL_CALL_PENDING
+				: AgenticSectionType.TOOL_CALL;
 		sections.push({
-			type: resultMsg ? AgenticSectionType.TOOL_CALL : AgenticSectionType.TOOL_CALL_PENDING,
+			type,
 			content: resultMsg?.content || '',
 			toolName: tc.function?.name,
 			toolArgs: tc.function?.arguments,
@@ -104,12 +115,13 @@ function deriveSingleTurnSections(
 export function deriveAgenticSections(
 	message: DatabaseMessage,
 	toolMessages: DatabaseMessage[] = [],
-	streamingToolCalls: ApiChatCompletionToolCall[] = []
+	streamingToolCalls: ApiChatCompletionToolCall[] = [],
+	isStreaming: boolean = false
 ): AgenticSection[] {
 	const hasAssistantContinuations = toolMessages.some((m) => m.role === MessageRole.ASSISTANT);
 
 	if (!hasAssistantContinuations) {
-		return deriveSingleTurnSections(message, toolMessages, streamingToolCalls);
+		return deriveSingleTurnSections(message, toolMessages, streamingToolCalls, isStreaming);
 	}
 
 	const sections: AgenticSection[] = [];
@@ -127,7 +139,12 @@ export function deriveAgenticSections(
 			const isLastTurn = i + 1 + turnToolMsgs.length >= toolMessages.length;
 
 			sections.push(
-				...deriveSingleTurnSections(msg, turnToolMsgs, isLastTurn ? streamingToolCalls : [])
+				...deriveSingleTurnSections(
+					msg,
+					turnToolMsgs,
+					isLastTurn ? streamingToolCalls : [],
+					isLastTurn && isStreaming
+				)
 			);
 
 			i += 1 + turnToolMsgs.length;
diff --git a/tools/server/webui/src/lib/utils/api-headers.ts b/tools/server/webui/src/lib/utils/api-headers.ts
index 77ce3e88c..c0a5309b9 100644
--- a/tools/server/webui/src/lib/utils/api-headers.ts
+++ b/tools/server/webui/src/lib/utils/api-headers.ts
@@ -1,4 +1,6 @@
 import { config } from '$lib/stores/settings.svelte';
+import { REDACTED_HEADERS } from '$lib/constants';
+import { redactValue } from './redact';
 
 /**
  * Get authorization headers for API requests
@@ -20,3 +22,46 @@ export function getJsonHeaders(): Record<string, string> {
 		...getAuthHeaders()
 	};
 }
+
+/**
+ * Sanitize HTTP headers by redacting sensitive values.
+ * Known sensitive headers (from REDACTED_HEADERS) and any extra headers
+ * specified by the caller are fully redacted. Headers listed in
+ * `partialRedactHeaders` are partially redacted, showing only the
+ * specified number of trailing characters.
+ *
+ * @param headers - Headers to sanitize
+ * @param extraRedactedHeaders - Additional header names to fully redact
+ * @param partialRedactHeaders - Map of header name -> number of trailing chars to keep visible
+ * @returns Object with header names as keys and (possibly redacted) values
+ */
+export function sanitizeHeaders(
+	headers?: HeadersInit,
+	extraRedactedHeaders?: Iterable<string>,
+	partialRedactHeaders?: Map<string, number>
+): Record<string, string> {
+	if (!headers) {
+		return {};
+	}
+
+	const normalized = new Headers(headers);
+	const sanitized: Record<string, string> = {};
+	const redactedHeaders = new Set(
+		Array.from(extraRedactedHeaders ?? [], (header) => header.toLowerCase())
+	);
+
+	for (const [key, value] of normalized.entries()) {
+		const normalizedKey = key.toLowerCase();
+		const partialChars = partialRedactHeaders?.get(normalizedKey);
+
+		if (partialChars !== undefined) {
+			sanitized[key] = redactValue(value, partialChars);
+		} else if (REDACTED_HEADERS.has(normalizedKey) || redactedHeaders.has(normalizedKey)) {
+			sanitized[key] = redactValue(value);
+		} else {
+			sanitized[key] = value;
+		}
+	}
+
+	return sanitized;
+}
diff --git a/tools/server/webui/src/lib/utils/attachment-display.ts b/tools/server/webui/src/lib/utils/attachment-display.ts
index 396ed6671..30c7043bf 100644
--- a/tools/server/webui/src/lib/utils/attachment-display.ts
+++ b/tools/server/webui/src/lib/utils/attachment-display.ts
@@ -2,29 +2,29 @@ import { AttachmentType, FileTypeCategory, SpecialFileType } from '$lib/enums';
 import { getFileTypeCategory, getFileTypeCategoryByExtension, isImageFile } from '$lib/utils';
 import type {
 	AttachmentDisplayItemsOptions,
-	ChatUploadedFile,
-	DatabaseMessageExtra
+	ChatAttachmentDisplayItem,
+	ChatUploadedFile
 } from '$lib/types';
 
 /**
- * Check if an uploaded file is an MCP prompt
+ * Check if a display item represents an MCP prompt
+ * (either from attachment type or uploaded file with mcpPrompt metadata)
  */
-function isMcpPromptUpload(file: ChatUploadedFile): boolean {
-	return file.type === SpecialFileType.MCP_PROMPT && !!file.mcpPrompt;
-}
-
-/**
- * Check if an attachment is an MCP prompt
- */
-function isMcpPromptAttachment(attachment: DatabaseMessageExtra): boolean {
-	return attachment.type === AttachmentType.MCP_PROMPT;
+export function isMcpPrompt(item: ChatAttachmentDisplayItem): boolean {
+	if (item.attachment?.type === AttachmentType.MCP_PROMPT) {
+		return true;
+	}
+	if (item.uploadedFile?.type === SpecialFileType.MCP_PROMPT && item.uploadedFile.mcpPrompt) {
+		return true;
+	}
+	return false;
 }
 
 /**
- * Check if an attachment is an MCP resource
+ * Check if a display item represents an MCP resource
  */
-function isMcpResourceAttachment(attachment: DatabaseMessageExtra): boolean {
-	return attachment.type === AttachmentType.MCP_RESOURCE;
+export function isMcpResource(item: ChatAttachmentDisplayItem): boolean {
+	return item.attachment?.type === AttachmentType.MCP_RESOURCE;
 }
 
 /**
@@ -58,7 +58,6 @@ export function getAttachmentDisplayItems(
 			size: file.size,
 			preview: file.preview,
 			isImage: getUploadedFileCategory(file) === FileTypeCategory.IMAGE,
-			isMcpPrompt: isMcpPromptUpload(file),
 			isLoading: file.isLoading,
 			loadError: file.loadError,
 			uploadedFile: file,
@@ -69,16 +68,13 @@ export function getAttachmentDisplayItems(
 	// Add stored attachments (ChatMessage)
 	for (const [index, attachment] of attachments.entries()) {
 		const isImage = isImageFile(attachment);
-		const isMcpPrompt = isMcpPromptAttachment(attachment);
-		const isMcpResource = isMcpResourceAttachment(attachment);
 
 		items.push({
 			id: `attachment-${index}`,
 			name: attachment.name,
+			size: 'size' in attachment ? attachment.size : undefined,
 			preview: isImage && 'base64Url' in attachment ? attachment.base64Url : undefined,
 			isImage,
-			isMcpPrompt,
-			isMcpResource,
 			attachment,
 			attachmentIndex: index,
 			textContent: 'content' in attachment ? attachment.content : undefined
diff --git a/tools/server/webui/src/lib/utils/audio-recording.ts b/tools/server/webui/src/lib/utils/audio-recording.ts
index 2a21985d1..ab207b7a4 100644
--- a/tools/server/webui/src/lib/utils/audio-recording.ts
+++ b/tools/server/webui/src/lib/utils/audio-recording.ts
@@ -43,27 +43,48 @@ export class AudioRecorder {
 
 	async stopRecording(): Promise<Blob> {
 		return new Promise((resolve, reject) => {
-			if (!this.mediaRecorder || this.mediaRecorder.state === 'inactive') {
+			const recorder = this.mediaRecorder;
+			const chunks = this.audioChunks;
+			const stream = this.stream;
+
+			if (!recorder || recorder.state === 'inactive') {
 				reject(new Error('No active recording to stop'));
 				return;
 			}
 
-			this.mediaRecorder.onstop = () => {
-				const mimeType = this.mediaRecorder?.mimeType || MimeTypeAudio.WAV;
-				const audioBlob = new Blob(this.audioChunks, { type: mimeType });
+			// Detach instance state right away so a new startRecording can take over without race
+			this.mediaRecorder = null;
+			this.audioChunks = [];
+			this.stream = null;
+			this.recordingState = false;
 
-				this.cleanup();
+			recorder.onstop = () => {
+				const audioBlob = new Blob(chunks, {
+					type: recorder.mimeType || MimeTypeAudio.WAV
+				});
+
+				if (stream) {
+					for (const track of stream.getTracks()) {
+						track.stop();
+					}
+				}
 
 				resolve(audioBlob);
 			};
 
-			this.mediaRecorder.onerror = (event) => {
+			recorder.onerror = (event) => {
 				console.error('Recording error:', event);
-				this.cleanup();
+
+				if (stream) {
+					for (const track of stream.getTracks()) {
+						track.stop();
+					}
+				}
+
 				reject(new Error('Recording failed'));
 			};
 
-			this.mediaRecorder.stop();
+			recorder.stop();
 		});
 	}
 
@@ -72,10 +93,26 @@ export class AudioRecorder {
 	}
 
 	cancelRecording(): void {
-		if (this.mediaRecorder && this.mediaRecorder.state !== 'inactive') {
-			this.mediaRecorder.stop();
+		const recorder = this.mediaRecorder;
+		const stream = this.stream;
+
+		this.mediaRecorder = null;
+		this.audioChunks = [];
+		this.stream = null;
+		this.recordingState = false;
+
+		if (recorder && recorder.state !== 'inactive') {
+			// Drop the original handlers so the pending stop event does not touch the instance
+			recorder.onstop = null;
+			recorder.onerror = null;
+			recorder.stop();
+		}
+
+		if (stream) {
+			for (const track of stream.getTracks()) {
+				track.stop();
+			}
 		}
-		this.cleanup();
 	}
 
 	private initializeRecorder(stream: MediaStream): void {
@@ -110,19 +147,6 @@ export class AudioRecorder {
 			this.recordingState = false;
 		};
 	}
-
-	private cleanup(): void {
-		if (this.stream) {
-			for (const track of this.stream.getTracks()) {
-				track.stop();
-			}
-
-			this.stream = null;
-		}
-		this.mediaRecorder = null;
-		this.audioChunks = [];
-		this.recordingState = false;
-	}
 }
 
 export async function convertToWav(audioBlob: Blob): Promise<Blob> {
@@ -136,13 +160,12 @@ export async function convertToWav(audioBlob: Blob): Promise<Blob> {
 		// eslint-disable-next-line @typescript-eslint/no-explicit-any
 		const audioContext = new (window.AudioContext || (window as any).webkitAudioContext)();
 
-		const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
-
-		const wavBlob = audioBufferToWav(audioBuffer);
-
-		audioContext.close();
-
-		return wavBlob;
+		try {
+			const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
+			return audioBufferToWav(audioBuffer);
+		} finally {
+			audioContext.close();
+		}
 	} catch (error) {
 		console.error('Failed to convert audio to WAV:', error);
 		return audioBlob;
@@ -182,12 +205,20 @@ function audioBufferToWav(buffer: AudioBuffer): Blob {
 	writeString(36, 'data'); // Subchunk2ID
 	view.setUint32(40, dataSize, true); // Subchunk2Size
 
-	let offset = 44;
+	// Cache channel arrays, write PCM via Int16Array (native little-endian, matches WAV)
+	const channels: Float32Array[] = new Array(numberOfChannels);
+	for (let c = 0; c < numberOfChannels; c++) {
+		channels[c] = buffer.getChannelData(c);
+	}
+
+	const pcm = new Int16Array(arrayBuffer, 44, length * numberOfChannels);
+	let p = 0;
 	for (let i = 0; i < length; i++) {
-		for (let channel = 0; channel < numberOfChannels; channel++) {
-			const sample = Math.max(-1, Math.min(1, buffer.getChannelData(channel)[i]));
-			view.setInt16(offset, sample * 0x7fff, true);
-			offset += 2;
+		for (let c = 0; c < numberOfChannels; c++) {
+			let s = channels[c][i];
+			if (s > 1) s = 1;
+			else if (s < -1) s = -1;
+			pcm[p++] = s * 0x7fff;
 		}
 	}
 
diff --git a/tools/server/webui/src/lib/utils/convert-files-to-extra.ts b/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
index 84992106b..840d12c1c 100644
--- a/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
+++ b/tools/server/webui/src/lib/utils/convert-files-to-extra.ts
@@ -38,6 +38,7 @@ export async function parseFilesToMessageExtras(
 			extras.push({
 				type: AttachmentType.MCP_PROMPT,
 				name: file.name,
+				size: file.size,
 				serverName: file.mcpPrompt.serverName,
 				promptName: file.mcpPrompt.promptName,
 				content: file.textContent ?? '',
@@ -68,6 +69,7 @@ export async function parseFilesToMessageExtras(
 				extras.push({
 					type: AttachmentType.IMAGE,
 					name: file.name,
+					size: file.size,
 					base64Url
 				});
 			}
@@ -79,6 +81,7 @@ export async function parseFilesToMessageExtras(
 				extras.push({
 					type: AttachmentType.AUDIO,
 					name: file.name,
+					size: file.size,
 					base64Data: base64Data,
 					mimeType: file.type
 				});
@@ -132,6 +135,7 @@ export async function parseFilesToMessageExtras(
 						extras.push({
 							type: AttachmentType.PDF,
 							name: file.name,
+							size: file.size,
 							content: `PDF file with ${images.length} pages`,
 							images: images,
 							processedAsImages: true,
@@ -149,6 +153,7 @@ export async function parseFilesToMessageExtras(
 						extras.push({
 							type: AttachmentType.PDF,
 							name: file.name,
+							size: file.size,
 							content: content,
 							processedAsImages: false,
 							base64Data: base64Data
@@ -166,6 +171,7 @@ export async function parseFilesToMessageExtras(
 					extras.push({
 						type: AttachmentType.PDF,
 						name: file.name,
+						size: file.size,
 						content: content,
 						processedAsImages: false,
 						base64Data: base64Data
@@ -186,6 +192,7 @@ export async function parseFilesToMessageExtras(
 					extras.push({
 						type: AttachmentType.TEXT,
 						name: file.name,
+						size: file.size,
 						content: content
 					});
 				} else {
diff --git a/tools/server/webui/src/lib/utils/cors-proxy.ts b/tools/server/webui/src/lib/utils/cors-proxy.ts
index 9ad6c8b5d..47caf2742 100644
--- a/tools/server/webui/src/lib/utils/cors-proxy.ts
+++ b/tools/server/webui/src/lib/utils/cors-proxy.ts
@@ -33,12 +33,3 @@ export function buildProxiedHeaders(headers: Record<string, string>): Record<str
 
 	return proxiedHeaders;
 }
-
-/**
- * Get a proxied URL string for use in fetch requests.
- * @param targetUrl - The original URL to proxy
- * @returns Proxied URL as string
- */
-export function getProxiedUrlString(targetUrl: string): string {
-	return buildProxiedUrl(targetUrl).href;
-}
diff --git a/tools/server/webui/src/lib/utils/css.ts b/tools/server/webui/src/lib/utils/css.ts
new file mode 100644
index 000000000..99351a7f4
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/css.ts
@@ -0,0 +1,9 @@
+/**
+ * Converts a rem CSS value to pixels based on the document root font size.
+ */
+export function remToPx(rem: string): number {
+	const val = parseFloat(rem);
+	const fontSize = parseFloat(getComputedStyle(document.documentElement).fontSize);
+
+	return val * fontSize;
+}
diff --git a/tools/server/webui/src/lib/utils/favicon.ts b/tools/server/webui/src/lib/utils/favicon.ts
deleted file mode 100644
index a1afa1643..000000000
--- a/tools/server/webui/src/lib/utils/favicon.ts
+++ /dev/null
@@ -1,34 +0,0 @@
-/**
- * Favicon utility functions for extracting favicons from URLs.
- */
-
-import { getProxiedUrlString } from './cors-proxy';
-import {
-	GOOGLE_FAVICON_BASE_URL,
-	DEFAULT_FAVICON_SIZE,
-	DOMAIN_SEPARATOR,
-	ROOT_DOMAIN_MIN_PARTS
-} from '$lib/constants';
-
-/**
- * Gets a favicon URL for a given URL using Google's favicon service.
- * Returns null if the URL is invalid.
- *
- * @param urlString - The URL to get the favicon for
- * @returns The favicon URL or null if invalid
- */
-export function getFaviconUrl(urlString: string, useProxy = true): string | null {
-	try {
-		const url = new URL(urlString);
-		const hostnameParts = url.hostname.split(DOMAIN_SEPARATOR);
-		const rootDomain =
-			hostnameParts.length >= ROOT_DOMAIN_MIN_PARTS
-				? hostnameParts.slice(-ROOT_DOMAIN_MIN_PARTS).join(DOMAIN_SEPARATOR)
-				: url.hostname;
-
-		const googleFaviconUrl = `${GOOGLE_FAVICON_BASE_URL}?domain=${rootDomain}&sz=${DEFAULT_FAVICON_SIZE}`;
-		return useProxy ? getProxiedUrlString(googleFaviconUrl) : googleFaviconUrl;
-	} catch {
-		return null;
-	}
-}
diff --git a/tools/server/webui/src/lib/utils/index.ts b/tools/server/webui/src/lib/utils/index.ts
index 88c95b621..386cb30ee 100644
--- a/tools/server/webui/src/lib/utils/index.ts
+++ b/tools/server/webui/src/lib/utils/index.ts
@@ -8,12 +8,12 @@
  */
 
 // API utilities
-export { getAuthHeaders, getJsonHeaders } from './api-headers';
+export { getAuthHeaders, getJsonHeaders, sanitizeHeaders } from './api-headers';
 export { apiFetch, apiFetchWithParams, apiPost, type ApiFetchOptions } from './api-fetch';
 export { validateApiKey } from './api-key-validation';
 
 // Attachment utilities
-export { getAttachmentDisplayItems } from './attachment-display';
+export { getAttachmentDisplayItems, isMcpPrompt, isMcpResource } from './attachment-display';
 export { isTextFile, isImageFile, isPdfFile, isAudioFile } from './attachment-type';
 
 // Textarea utilities
@@ -39,7 +39,10 @@ export { highlightCode, detectIncompleteCodeBlock, type IncompleteCodeBlock } fr
 export { setConfigValue, getConfigValue, configToParameterRecord } from './config-helpers';
 
 // CORS Proxy
-export { buildProxiedUrl, getProxiedUrlString, buildProxiedHeaders } from './cors-proxy';
+export { buildProxiedUrl, buildProxiedHeaders } from './cors-proxy';
+
+// URL utilities
+export { extractRootDomain, sanitizeExternalUrl } from './url';
 
 // Conversation utilities
 export { createMessageCountMap, getMessageCount } from './conversation-utils';
@@ -55,7 +58,7 @@ export {
 
 // File preview utilities
 export { getFileTypeLabel } from './file-preview';
-export { getPreviewText } from './text';
+export { getPreviewText, generateConversationTitle } from './text';
 
 // File type utilities
 export {
@@ -146,9 +149,6 @@ export { createBase64DataUrl } from './data-url';
 // Header utilities
 export { parseHeadersToArray, serializeHeaders } from './headers';
 
-// Favicon utilities
-export { getFaviconUrl } from './favicon';
-
 // Agentic content utilities (structured section derivation)
 export {
 	deriveAgenticSections,
@@ -164,6 +164,20 @@ export { runLegacyMigration, isMigrationNeeded } from './legacy-migration';
 // Cache utilities
 export { TTLCache, ReactiveTTLMap, type TTLCacheOptions } from './cache-ttl';
 
+// Redaction utilities
+export { redactValue } from './redact';
+
+// Request inspection utilities
+export {
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods,
+	type RequestBodySummary
+} from './request-helpers';
+
 // Abort signal utilities
 export {
 	throwIfAborted,
@@ -176,3 +190,6 @@ export {
 // Cryptography utilities
 
 export { uuid } from './uuid';
+
+// CSS utilities
+export { remToPx } from './css';
diff --git a/tools/server/webui/src/lib/utils/redact.ts b/tools/server/webui/src/lib/utils/redact.ts
new file mode 100644
index 000000000..851be7bf4
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/redact.ts
@@ -0,0 +1,14 @@
+/**
+ * Redacts a sensitive value, optionally showing the last N characters.
+ *
+ * @param value - The value to redact
+ * @param showLastChars - If provided, reveals the last N characters with a leading mask
+ * @returns The redacted string
+ */
+export function redactValue(value: string, showLastChars?: number): string {
+	if (showLastChars) {
+		return `....${value.slice(-showLastChars)}`;
+	}
+
+	return '[redacted]';
+}
diff --git a/tools/server/webui/src/lib/utils/request-helpers.ts b/tools/server/webui/src/lib/utils/request-helpers.ts
new file mode 100644
index 000000000..8a11b8fb5
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/request-helpers.ts
@@ -0,0 +1,111 @@
+/**
+ * HTTP request inspection utilities for diagnostic logging.
+ * These helpers extract metadata from fetch-style request arguments
+ * without exposing sensitive payload data.
+ */
+
+export interface RequestBodySummary {
+	kind: string;
+	size?: number;
+}
+
+export function getRequestUrl(input: RequestInfo | URL): string {
+	if (typeof input === 'string') {
+		return input;
+	}
+
+	if (input instanceof URL) {
+		return input.href;
+	}
+
+	return input.url;
+}
+
+export function getRequestMethod(
+	input: RequestInfo | URL,
+	init?: RequestInit,
+	baseInit?: RequestInit
+): string {
+	if (init?.method) {
+		return init.method;
+	}
+
+	if (typeof Request !== 'undefined' && input instanceof Request) {
+		return input.method;
+	}
+
+	return baseInit?.method ?? 'GET';
+}
+
+export function getRequestBody(
+	input: RequestInfo | URL,
+	init?: RequestInit
+): BodyInit | null | undefined {
+	if (init?.body !== undefined) {
+		return init.body;
+	}
+
+	if (typeof Request !== 'undefined' && input instanceof Request) {
+		return input.body;
+	}
+
+	return undefined;
+}
+
+export function summarizeRequestBody(body: BodyInit | null | undefined): RequestBodySummary {
+	if (body == null) {
+		return { kind: 'empty' };
+	}
+
+	if (typeof body === 'string') {
+		return { kind: 'string', size: body.length };
+	}
+
+	if (body instanceof Blob) {
+		return { kind: 'blob', size: body.size };
+	}
+
+	if (body instanceof URLSearchParams) {
+		return { kind: 'urlsearchparams', size: body.toString().length };
+	}
+
+	if (body instanceof FormData) {
+		return { kind: 'formdata' };
+	}
+
+	if (body instanceof ArrayBuffer) {
+		return { kind: 'arraybuffer', size: body.byteLength };
+	}
+
+	if (ArrayBuffer.isView(body)) {
+		return { kind: body.constructor.name, size: body.byteLength };
+	}
+
+	return { kind: typeof body };
+}
+
+export function formatDiagnosticErrorMessage(error: unknown): string {
+	const message = error instanceof Error ? error.message : String(error);
+
+	return message.includes('Failed to fetch') ? `${message} (check CORS?)` : message;
+}
+
+export function extractJsonRpcMethods(body: BodyInit | null | undefined): string[] | undefined {
+	if (typeof body !== 'string') {
+		return undefined;
+	}
+
+	try {
+		const parsed = JSON.parse(body);
+		const messages = Array.isArray(parsed) ? parsed : [parsed];
+		const methods = messages
+			.map((message: Record<string, unknown>) =>
+				typeof message?.method === 'string' ? (message.method as string) : undefined
+			)
+			.filter((method: string | undefined): method is string => Boolean(method));
+
+		return methods.length > 0 ? methods : undefined;
+	} catch {
+		return undefined;
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/text.ts b/tools/server/webui/src/lib/utils/text.ts
index 5c5dd0fe8..a2a4a1b57 100644
--- a/tools/server/webui/src/lib/utils/text.ts
+++ b/tools/server/webui/src/lib/utils/text.ts
@@ -1,3 +1,5 @@
+import { NEWLINE_SEPARATOR } from '$lib/constants';
+
 /**
  * Returns a shortened preview of the provided content capped at the given length.
  * Appends an ellipsis when the content exceeds the maximum.
@@ -5,3 +7,16 @@
 export function getPreviewText(content: string, max = 150): string {
 	return content.length > max ? content.slice(0, max) + '...' : content;
 }
+
+/**
+ * Generates a single-line title from a potentially multi-line prompt.
+ * Uses the first non-empty line if `useFirstLine` is true.
+ */
+export function generateConversationTitle(content: string, useFirstLine: boolean = false): string {
+	if (useFirstLine) {
+		const firstLine = content.split(NEWLINE_SEPARATOR).find((line) => line.trim().length > 0);
+		return firstLine ? firstLine.trim() : content.trim();
+	}
+
+	return content.trim();
+}
diff --git a/tools/server/webui/src/lib/utils/url.ts b/tools/server/webui/src/lib/utils/url.ts
new file mode 100644
index 000000000..e8b78f7bd
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/url.ts
@@ -0,0 +1,72 @@
+import { TWO_PART_PUBLIC_SUFFIXES, WILDCARD_PUBLIC_SUFFIXES } from '$lib/constants';
+import { UrlProtocol } from '$lib/enums';
+
+/**
+ * Check whether a hostname looks like an IPv4 or IPv6 address.
+ */
+function isIpAddress(hostname: string): boolean {
+	if (hostname.includes(':')) return true;
+
+	if (/^\d{1,3}(\.\d{1,3}){3}$/.test(hostname)) return true;
+
+	return false;
+}
+
+/**
+ * Extract the registrable root domain from a URL.
+ *
+ * @example
+ *   'mcp.example.com'           -> 'example.com'
+ *   'www.example.co.uk'         -> 'example.co.uk'
+ *   'bar.foo.nom.br'            -> 'bar.foo.nom.br'
+ *   '192.168.1.1'               -> null
+ *   'localhost'                 -> null
+ */
+export function extractRootDomain(url: URL): string | null {
+	const hostname = url.hostname.toLowerCase();
+	if (!hostname || isIpAddress(hostname)) return null;
+
+	const parts = hostname.split('.');
+
+	if (parts.length < 2) return null;
+
+	if (parts.length >= 3) {
+		const suffix2 = `${parts[parts.length - 2]}.${parts[parts.length - 1]}`;
+
+		if (TWO_PART_PUBLIC_SUFFIXES.has(suffix2)) {
+			return parts.slice(-3).join('.');
+		}
+	}
+
+	for (let i = 2; i <= parts.length; i++) {
+		const candidate = parts.slice(-i).join('.');
+
+		if (WILDCARD_PUBLIC_SUFFIXES.has(candidate)) {
+			if (parts.length === i + 1) {
+				return hostname;
+			}
+
+			return parts.slice(-(i + 2)).join('.');
+		}
+	}
+
+	return parts.slice(-2).join('.');
+}
+
+/**
+ * Sanitize an external URL string for safe use in an `<a href>`.
+ * Only allows http: and https: schemes. Returns `null` for anything else.
+ */
+export function sanitizeExternalUrl(raw: string): string | null {
+	try {
+		const url = new URL(raw);
+
+		if (url.protocol !== UrlProtocol.HTTP && url.protocol !== UrlProtocol.HTTPS) {
+			return null;
+		}
+
+		return url.href;
+	} catch {
+		return null;
+	}
+}
diff --git a/tools/server/webui/src/lib/utils/viewport.ts b/tools/server/webui/src/lib/utils/viewport.ts
new file mode 100644
index 000000000..9e9b7aff3
--- /dev/null
+++ b/tools/server/webui/src/lib/utils/viewport.ts
@@ -0,0 +1,12 @@
+/**
+ * Check if an element is within the current viewport.
+ */
+export function isElementInViewport(node: HTMLElement): boolean {
+	const rect = node.getBoundingClientRect();
+	return (
+		rect.top < window.innerHeight &&
+		rect.bottom > 0 &&
+		rect.left < window.innerWidth &&
+		rect.right > 0
+	);
+}
diff --git a/tools/server/webui/src/routes/(chat)/+layout.svelte b/tools/server/webui/src/routes/(chat)/+layout.svelte
new file mode 100644
index 000000000..37aa03582
--- /dev/null
+++ b/tools/server/webui/src/routes/(chat)/+layout.svelte
@@ -0,0 +1,12 @@
+<script lang="ts">
+	import { page } from '$app/state';
+	import { ChatScreen } from '$lib/components/app';
+
+	let { children } = $props();
+
+	let showCenteredEmpty = $derived(!page.params.id);
+</script>
+
+<ChatScreen {showCenteredEmpty} />
+
+{@render children?.()}
diff --git a/tools/server/webui/src/routes/+page.svelte b/tools/server/webui/src/routes/(chat)/+page.svelte
similarity index 89%
rename from tools/server/webui/src/routes/+page.svelte
rename to tools/server/webui/src/routes/(chat)/+page.svelte
index 949ac273d..b22eda097 100644
--- a/tools/server/webui/src/routes/+page.svelte
+++ b/tools/server/webui/src/routes/(chat)/+page.svelte
@@ -1,5 +1,5 @@
 <script lang="ts">
-	import { ChatScreen, DialogModelNotAvailable } from '$lib/components/app';
+	import { DialogModelNotAvailable } from '$lib/components/app';
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, isConversationsInitialized } from '$lib/stores/conversations.svelte';
 	import { modelsStore, modelOptions } from '$lib/stores/models.svelte';
@@ -7,6 +7,7 @@
 	import { onMount } from 'svelte';
 	import { page } from '$app/state';
 	import { replaceState } from '$app/navigation';
+	import { APP_NAME } from '$lib/constants';
 
 	let qParam = $derived(page.url.searchParams.get('q'));
 	let modelParam = $derived(page.url.searchParams.get('model'));
@@ -77,6 +78,11 @@
 			!modelsStore.isModelLoaded(modelsStore.selectedModelName)
 		) {
 			modelsStore.clearSelection();
+
+			const first = modelOptions().find((m) => modelsStore.loadedModelIds.includes(m.model));
+			if (first) {
+				await modelsStore.selectModelById(first.id);
+			}
 		}
 
 		// Handle URL params only if we have ?q= or ?model= or ?new_chat=true
@@ -87,11 +93,9 @@
 </script>
 
 <svelte:head>
-	<title>llama.cpp - AI Chat Interface</title>
+	<title>{APP_NAME}</title>
 </svelte:head>
 
-<ChatScreen showCenteredEmpty />
-
 <DialogModelNotAvailable
 	bind:open={showModelNotAvailable}
 	modelName={requestedModelName}
diff --git a/tools/server/webui/src/routes/+page.ts b/tools/server/webui/src/routes/(chat)/+page.ts
similarity index 100%
rename from tools/server/webui/src/routes/+page.ts
rename to tools/server/webui/src/routes/(chat)/+page.ts
diff --git a/tools/server/webui/src/routes/chat/[id]/+page.svelte b/tools/server/webui/src/routes/(chat)/chat/[id]/+page.svelte
similarity index 98%
rename from tools/server/webui/src/routes/chat/[id]/+page.svelte
rename to tools/server/webui/src/routes/(chat)/chat/[id]/+page.svelte
index c0b2e0c5e..8a5e1be7d 100644
--- a/tools/server/webui/src/routes/chat/[id]/+page.svelte
+++ b/tools/server/webui/src/routes/(chat)/chat/[id]/+page.svelte
@@ -2,7 +2,7 @@
 	import { goto, replaceState } from '$app/navigation';
 	import { page } from '$app/state';
 	import { afterNavigate } from '$app/navigation';
-	import { ChatScreen, DialogModelNotAvailable } from '$lib/components/app';
+	import { DialogModelNotAvailable } from '$lib/components/app';
 	import { chatStore, isLoading } from '$lib/stores/chat.svelte';
 	import {
 		conversationsStore,
@@ -169,8 +169,6 @@
 	<title>{activeConversation()?.name || 'Chat'} - llama.cpp</title>
 </svelte:head>
 
-<ChatScreen />
-
 <DialogModelNotAvailable
 	bind:open={showModelNotAvailable}
 	modelName={requestedModelName}
diff --git a/tools/server/webui/src/routes/chat/[id]/+page.ts b/tools/server/webui/src/routes/(chat)/chat/[id]/+page.ts
similarity index 100%
rename from tools/server/webui/src/routes/chat/[id]/+page.ts
rename to tools/server/webui/src/routes/(chat)/chat/[id]/+page.ts
diff --git a/tools/server/webui/src/routes/+layout.svelte b/tools/server/webui/src/routes/+layout.svelte
index ccc207f85..27b30f7a5 100644
--- a/tools/server/webui/src/routes/+layout.svelte
+++ b/tools/server/webui/src/routes/+layout.svelte
@@ -2,90 +2,114 @@
 	import '../app.css';
 	import { base } from '$app/paths';
 	import { browser } from '$app/environment';
+	import { goto } from '$app/navigation';
 	import { page } from '$app/state';
 	import { untrack } from 'svelte';
+	import { onMount } from 'svelte';
+	import { fade } from 'svelte/transition';
 	import {
-		ChatSidebar,
+		DesktopIconStrip,
 		DialogConversationTitleUpdate,
-		DialogChatSettings
+		SidebarNavigation
 	} from '$lib/components/app';
-	import { isLoading } from '$lib/stores/chat.svelte';
-	import { conversationsStore, activeMessages } from '$lib/stores/conversations.svelte';
+	import { conversationsStore } from '$lib/stores/conversations.svelte';
 	import * as Sidebar from '$lib/components/ui/sidebar/index.js';
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import { isRouterMode, serverStore } from '$lib/stores/server.svelte';
 	import { config, settingsStore } from '$lib/stores/settings.svelte';
 	import { ModeWatcher } from 'mode-watcher';
 	import { Toaster } from 'svelte-sonner';
-	import { goto } from '$app/navigation';
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { mcpStore } from '$lib/stores/mcp.svelte';
 	import { TOOLTIP_DELAY_DURATION } from '$lib/constants';
-	import type { SettingsSectionTitle } from '$lib/constants';
-	import { KeyboardKey } from '$lib/enums';
 	import { IsMobile } from '$lib/hooks/is-mobile.svelte';
-	import { setChatSettingsDialogContext } from '$lib/contexts';
+	import { useKeyboardShortcuts } from '$lib/hooks/use-keyboard-shortcuts.svelte';
+	import { useSettingsNavigation } from '$lib/hooks/use-settings-navigation.svelte';
+	import { conversations } from '$lib/stores/conversations.svelte';
 
 	let { children } = $props();
 
-	let isChatRoute = $derived(page.route.id === '/chat/[id]');
-	let isHomeRoute = $derived(page.route.id === '/');
-	let isNewChatMode = $derived(page.url.searchParams.get('new_chat') === 'true');
-	let showSidebarByDefault = $derived(activeMessages().length > 0 || isLoading());
 	let alwaysShowSidebarOnDesktop = $derived(config().alwaysShowSidebarOnDesktop);
-	let autoShowSidebarOnNewChat = $derived(config().autoShowSidebarOnNewChat);
 	let isMobile = new IsMobile();
 	let isDesktop = $derived(!isMobile.current);
 	let sidebarOpen = $state(false);
+	let mounted = $state(false);
 	let innerHeight = $state<number | undefined>();
 	let chatSidebar:
 		| { activateSearchMode?: () => void; editActiveConversation?: () => void }
 		| undefined = $state();
 
-	// Conversation title update dialog state
 	let titleUpdateDialogOpen = $state(false);
 	let titleUpdateCurrentTitle = $state('');
 	let titleUpdateNewTitle = $state('');
 	let titleUpdateResolve: ((value: boolean) => void) | null = null;
 
-	let chatSettingsDialogOpen = $state(false);
-	let chatSettingsDialogInitialSection = $state<SettingsSectionTitle | undefined>(undefined);
+	const panelNav = useSettingsNavigation();
 
-	setChatSettingsDialogContext({
-		open: (initialSection?: SettingsSectionTitle) => {
-			chatSettingsDialogInitialSection = initialSection;
-			chatSettingsDialogOpen = true;
-		}
-	});
+	function navigateToConversation(direction: -1 | 1) {
+		const allConvs = conversations();
+		if (allConvs.length === 0) return;
 
-	// Global keyboard shortcuts
-	function handleKeydown(event: KeyboardEvent) {
-		const isCtrlOrCmd = event.ctrlKey || event.metaKey;
-
-		if (isCtrlOrCmd && event.key === KeyboardKey.K_LOWER) {
-			event.preventDefault();
-			if (chatSidebar?.activateSearchMode) {
-				chatSidebar.activateSearchMode();
-				sidebarOpen = true;
-			}
+		const currentId = page.params.id;
+
+		if (!currentId) {
+			goto(`#/chat/${allConvs[direction === 1 ? 0 : allConvs.length - 1].id}`);
+
+			return;
 		}
 
-		if (isCtrlOrCmd && event.shiftKey && event.key === KeyboardKey.O_UPPER) {
-			event.preventDefault();
+		const idx = allConvs.findIndex((c) => c.id === currentId);
+		if (idx === -1) return;
+
+		const targetIdx = idx + direction;
+
+		if (targetIdx >= 0 && targetIdx < allConvs.length) {
+			goto(`#/chat/${allConvs[targetIdx].id}`);
+		} else {
 			goto('?new_chat=true#/');
 		}
+	}
+
+	// Global keyboard shortcuts
+	const { handleKeydown } = useKeyboardShortcuts({
+		editActiveConversation: () => chatSidebar?.editActiveConversation?.(),
 
-		if (event.shiftKey && isCtrlOrCmd && event.key === KeyboardKey.E_UPPER) {
-			event.preventDefault();
+		navigateToPrevConversation: () => navigateToConversation(-1),
 
-			if (chatSidebar?.editActiveConversation) {
-				chatSidebar.editActiveConversation();
+		navigateToNextConversation: () => navigateToConversation(1)
+	});
+
+	function checkApiKey() {
+		const apiKey = config().apiKey;
+
+		if (
+			(page.route.id === '/(chat)' || page.route.id === '/(chat)/chat/[id]') &&
+			page.status !== 401 &&
+			page.status !== 403
+		) {
+			const headers: Record<string, string> = {
+				'Content-Type': 'application/json'
+			};
+
+			if (apiKey && apiKey.trim() !== '') {
+				headers.Authorization = `Bearer ${apiKey.trim()}`;
 			}
+
+			fetch(`${base}/props`, { headers })
+				.then((response) => {
+					if (response.status === 401 || response.status === 403) {
+						window.location.reload();
+					}
+				})
+				.catch((e) => {
+					console.error('Error checking API key:', e);
+				});
 		}
 	}
 
 	function handleTitleUpdateCancel() {
 		titleUpdateDialogOpen = false;
+
 		if (titleUpdateResolve) {
 			titleUpdateResolve(false);
 			titleUpdateResolve = null;
@@ -94,34 +118,22 @@
 
 	function handleTitleUpdateConfirm() {
 		titleUpdateDialogOpen = false;
+
 		if (titleUpdateResolve) {
 			titleUpdateResolve(true);
 			titleUpdateResolve = null;
 		}
 	}
 
+	onMount(() => {
+		mounted = true;
+	});
+
 	$effect(() => {
 		if (alwaysShowSidebarOnDesktop && isDesktop) {
 			sidebarOpen = true;
 			return;
 		}
-
-		if (isHomeRoute && !isNewChatMode) {
-			// Auto-collapse sidebar when navigating to home route (but not in new chat mode)
-			sidebarOpen = false;
-		} else if (isHomeRoute && isNewChatMode) {
-			// Keep sidebar open in new chat mode
-			sidebarOpen = true;
-		} else if (isChatRoute) {
-			// On chat routes, only auto-show sidebar if setting is enabled
-			if (autoShowSidebarOnNewChat) {
-				sidebarOpen = true;
-			}
-			// If setting is disabled, don't change sidebar state - let user control it manually
-		} else {
-			// Other routes follow default behavior
-			sidebarOpen = showSidebarByDefault;
-		}
 	});
 
 	// Initialize server properties on app load (run once)
@@ -182,31 +194,7 @@
 
 	// Monitor API key changes and redirect to error page if removed or changed when required
 	$effect(() => {
-		const apiKey = config().apiKey;
-
-		if (
-			(page.route.id === '/' || page.route.id === '/chat/[id]') &&
-			page.status !== 401 &&
-			page.status !== 403
-		) {
-			const headers: Record<string, string> = {
-				'Content-Type': 'application/json'
-			};
-
-			if (apiKey && apiKey.trim() !== '') {
-				headers.Authorization = `Bearer ${apiKey.trim()}`;
-			}
-
-			fetch(`${base}/props`, { headers })
-				.then((response) => {
-					if (response.status === 401 || response.status === 403) {
-						window.location.reload();
-					}
-				})
-				.catch((e) => {
-					console.error('Error checking API key:', e);
-				});
-		}
+		checkApiKey();
 	});
 
 	// Set up title update confirmation callback
@@ -229,12 +217,6 @@
 
 	<Toaster richColors />
 
-	<DialogChatSettings
-		open={chatSettingsDialogOpen}
-		onOpenChange={(open) => (chatSettingsDialogOpen = open)}
-		initialSection={chatSettingsDialogInitialSection}
-	/>
-
 	<DialogConversationTitleUpdate
 		bind:open={titleUpdateDialogOpen}
 		currentTitle={titleUpdateCurrentTitle}
@@ -245,16 +227,33 @@
 
 	<Sidebar.Provider bind:open={sidebarOpen}>
 		<div class="flex h-screen w-full" style:height="{innerHeight}px">
-			<Sidebar.Root class="h-full">
-				<ChatSidebar bind:this={chatSidebar} />
+			<Sidebar.Root variant="floating" class="h-full">
+				<SidebarNavigation bind:this={chatSidebar} />
 			</Sidebar.Root>
 
-			{#if !(alwaysShowSidebarOnDesktop && isDesktop)}
-				<Sidebar.Trigger
-					class="transition-left absolute left-0 z-[900] duration-200 ease-linear {sidebarOpen
-						? 'md:left-[var(--sidebar-width)]'
-						: 'md:left-0!'}"
-					style="translate: 1rem 1rem;"
+			{#if !(alwaysShowSidebarOnDesktop && isDesktop) && !(panelNav.isSettingsRoute && !isDesktop)}
+				{#if mounted}
+					<div in:fade={{ duration: 200 }}>
+						<Sidebar.Trigger
+							class="transition-left absolute left-0 z-[900] duration-200 ease-linear {sidebarOpen
+								? 'left-[calc(var(--sidebar-width)+0.75rem)] max-md:hidden'
+								: 'left-0!'}"
+							style="translate: 1rem 1rem;"
+						/>
+					</div>
+				{/if}
+			{/if}
+
+			{#if isDesktop && !alwaysShowSidebarOnDesktop}
+				<DesktopIconStrip
+					{sidebarOpen}
+					onSearchClick={() => {
+						if (chatSidebar?.activateSearchMode) {
+							chatSidebar.activateSearchMode();
+						}
+
+						sidebarOpen = true;
+					}}
 				/>
 			{/if}
 
diff --git a/tools/server/webui/src/routes/settings/+layout.svelte b/tools/server/webui/src/routes/settings/+layout.svelte
new file mode 100644
index 000000000..612b1a9c9
--- /dev/null
+++ b/tools/server/webui/src/routes/settings/+layout.svelte
@@ -0,0 +1,37 @@
+<script lang="ts">
+	import { X } from '@lucide/svelte';
+	import { goto } from '$app/navigation';
+	import { browser } from '$app/environment';
+	import { page } from '$app/state';
+	import { ActionIcon } from '$lib/components/app';
+
+	let { children } = $props();
+
+	let previousRouteId = $state<string | null>(null);
+
+	$effect(() => {
+		const currentId = page.route.id;
+		return () => {
+			previousRouteId = currentId;
+		};
+	});
+
+	function handleClose() {
+		const prevIsSettings = previousRouteId?.startsWith('/settings');
+		if (browser && window.history.length > 1 && !prevIsSettings) {
+			history.back();
+		} else {
+			goto('#/');
+		}
+	}
+</script>
+
+<div class="relative h-full">
+	<div class="fixed top-4.5 right-4 z-50 md:hidden">
+		<ActionIcon icon={X} tooltip="Close" onclick={handleClose} />
+	</div>
+
+	<div class="min-h-full">
+		{@render children?.()}
+	</div>
+</div>
diff --git a/tools/server/webui/src/routes/settings/chat/[section]/+page.svelte b/tools/server/webui/src/routes/settings/chat/[section]/+page.svelte
new file mode 100644
index 000000000..7b4b1975f
--- /dev/null
+++ b/tools/server/webui/src/routes/settings/chat/[section]/+page.svelte
@@ -0,0 +1,6 @@
+<script lang="ts">
+	import { SettingsChat } from '$lib/components/app/settings';
+	import { page } from '$app/state';
+</script>
+
+<SettingsChat initialSection={(page.params as Record<string, string | undefined>).section} />
diff --git a/tools/server/webui/src/routes/settings/mcp/+page.svelte b/tools/server/webui/src/routes/settings/mcp/+page.svelte
new file mode 100644
index 000000000..1758134c3
--- /dev/null
+++ b/tools/server/webui/src/routes/settings/mcp/+page.svelte
@@ -0,0 +1,5 @@
+<script lang="ts">
+	import { SettingsMcpServers } from '$lib/components/app/settings';
+</script>
+
+<SettingsMcpServers class="mx-auto w-full p-4 md:p-8 md:py-8" />
diff --git a/tools/server/webui/svelte.config.js b/tools/server/webui/svelte.config.js
index 92a4ec88d..93152492c 100644
--- a/tools/server/webui/svelte.config.js
+++ b/tools/server/webui/svelte.config.js
@@ -25,6 +25,9 @@ const config = {
 		},
 		alias: {
 			$styles: 'src/styles'
+		},
+		version: {
+			name: 'llama-server-webui'
 		}
 	},
 
diff --git a/tools/server/webui/tests/client/components/TestWrapper.svelte b/tools/server/webui/tests/client/components/TestWrapper.svelte
index 4bbb8e860..aeb7ff74c 100644
--- a/tools/server/webui/tests/client/components/TestWrapper.svelte
+++ b/tools/server/webui/tests/client/components/TestWrapper.svelte
@@ -1,7 +1,7 @@
 <script lang="ts">
 	import * as Tooltip from '$lib/components/ui/tooltip';
 	import * as Sidebar from '$lib/components/ui/sidebar/index.js';
-	import Page from '../../../src/routes/+page.svelte';
+	import Page from '../../../src/routes/(chat)/+page.svelte';
 
 	let sidebarOpen = $state(false);
 </script>
diff --git a/tools/server/webui/tests/stories/ChatMessage.stories.svelte b/tools/server/webui/tests/stories/ChatMessage.stories.svelte
index a3579cf04..e640176a8 100644
--- a/tools/server/webui/tests/stories/ChatMessage.stories.svelte
+++ b/tools/server/webui/tests/stories/ChatMessage.stories.svelte
@@ -1,6 +1,6 @@
 <script module lang="ts">
 	import { defineMeta } from '@storybook/addon-svelte-csf';
-	import ChatMessage from '$lib/components/app/chat/ChatMessages/ChatMessage.svelte';
+	import ChatMessage from '$lib/components/app/chat/ChatMessages/ChatMessage/ChatMessage.svelte';
 
 	const { Story } = defineMeta({
 		title: 'Components/ChatScreen/ChatMessage',
diff --git a/tools/server/webui/tests/stories/ChatSettings.stories.svelte b/tools/server/webui/tests/stories/ChatSettings.stories.svelte
deleted file mode 100644
index 4d8dbe50d..000000000
--- a/tools/server/webui/tests/stories/ChatSettings.stories.svelte
+++ /dev/null
@@ -1,19 +0,0 @@
-<script module>
-	import { defineMeta } from '@storybook/addon-svelte-csf';
-	import { ChatSettings } from '$lib/components/app';
-	import { fn } from 'storybook/test';
-
-	const { Story } = defineMeta({
-		title: 'Components/ChatSettings',
-		component: ChatSettings,
-		parameters: {
-			layout: 'fullscreen'
-		},
-		args: {
-			onClose: fn(),
-			onSave: fn()
-		}
-	});
-</script>
-
-<Story name="Default" />
diff --git a/tools/server/webui/tests/stories/ChatSidebar.stories.svelte b/tools/server/webui/tests/stories/SidebarNavigation.stories.svelte
similarity index 71%
rename from tools/server/webui/tests/stories/ChatSidebar.stories.svelte
rename to tools/server/webui/tests/stories/SidebarNavigation.stories.svelte
index 7ff9538a3..f64ee4f9b 100644
--- a/tools/server/webui/tests/stories/ChatSidebar.stories.svelte
+++ b/tools/server/webui/tests/stories/SidebarNavigation.stories.svelte
@@ -1,16 +1,22 @@
 <script module lang="ts">
 	import { defineMeta } from '@storybook/addon-svelte-csf';
-	import ChatSidebar from '$lib/components/app/chat/ChatSidebar/ChatSidebar.svelte';
+	import SidebarNavigation from '$lib/components/app/navigation/SidebarNavigation/SidebarNavigation.svelte';
 	import { waitFor } from 'storybook/test';
 	import { screen } from 'storybook/test';
 
 	const { Story } = defineMeta({
-		title: 'Components/ChatSidebar',
-		component: ChatSidebar,
+		title: 'Components/SidebarNavigation',
+		component: SidebarNavigation,
 		parameters: {
 			layout: 'centered'
 		}
 	});
+</script>
+
+<script lang="ts">
+	import * as Sidebar from '$lib/components/ui/sidebar/index.js';
+
+	let sidebarOpen = $state(true);
 
 	// Mock conversations for the sidebar
 	const mockConversations: DatabaseConversation[] = [
@@ -58,9 +64,11 @@
 		}, 0));
 	}}
 >
-	<div class="flex-column h-full h-screen w-72 bg-background">
-		<ChatSidebar />
-	</div>
+	<Sidebar.Provider bind:open={sidebarOpen}>
+		<div class="flex-column h-full h-screen w-72 bg-background">
+			<SidebarNavigation />
+		</div>
+	</Sidebar.Provider>
 </Story>
 
 <Story
@@ -77,9 +85,11 @@
 		userEvent.click(searchTrigger);
 	}}
 >
-	<div class="flex-column h-full h-screen w-72 bg-background">
-		<ChatSidebar />
-	</div>
+	<Sidebar.Provider bind:open={sidebarOpen}>
+		<div class="flex-column h-full h-screen w-72 bg-background">
+			<SidebarNavigation />
+		</div>
+	</Sidebar.Provider>
 </Story>
 
 <Story
@@ -91,7 +101,9 @@
 		conversationsStore.conversations = [];
 	}}
 >
-	<div class="flex-column h-full h-screen w-72 bg-background">
-		<ChatSidebar />
-	</div>
+	<Sidebar.Provider bind:open={sidebarOpen}>
+		<div class="flex-column h-full h-screen w-72 bg-background">
+			<SidebarNavigation />
+		</div>
+	</Sidebar.Provider>
 </Story>
diff --git a/tools/server/webui/tests/unit/agentic-sections.test.ts b/tools/server/webui/tests/unit/agentic-sections.test.ts
index 451f30c6f..d102bd04a 100644
--- a/tools/server/webui/tests/unit/agentic-sections.test.ts
+++ b/tools/server/webui/tests/unit/agentic-sections.test.ts
@@ -85,7 +85,7 @@ describe('deriveAgenticSections', () => {
 				{ id: 'call_1', type: 'function', function: { name: 'bash', arguments: '{}' } }
 			])
 		});
-		const sections = deriveAgenticSections(msg, []);
+		const sections = deriveAgenticSections(msg, [], [], true);
 		expect(sections).toHaveLength(1);
 		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL_PENDING);
 		expect(sections[0].toolName).toBe('bash');
@@ -162,6 +162,36 @@ describe('deriveAgenticSections', () => {
 		expect(sections[4].content).toBe('Here is the analysis.');
 	});
 
+	it('returns REASONING_PENDING when streaming with only reasoning content', () => {
+		const msg = makeAssistant({
+			reasoningContent: 'Let me think about this...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], true);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING_PENDING);
+		expect(sections[0].content).toBe('Let me think about this...');
+	});
+
+	it('returns REASONING (not pending) when streaming but text content has appeared', () => {
+		const msg = makeAssistant({
+			content: 'The answer is',
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], true);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+	});
+
+	it('returns REASONING (not pending) when not streaming', () => {
+		const msg = makeAssistant({
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg, [], [], false);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+	});
+
 	it('multi-turn: streaming tool calls on last turn', () => {
 		const assistant1 = makeAssistant({
 			toolCalls: JSON.stringify([
diff --git a/tools/server/webui/tests/unit/mcp-service.test.ts b/tools/server/webui/tests/unit/mcp-service.test.ts
new file mode 100644
index 000000000..afd3bdd5c
--- /dev/null
+++ b/tools/server/webui/tests/unit/mcp-service.test.ts
@@ -0,0 +1,252 @@
+import { afterEach, describe, expect, it, vi } from 'vitest';
+import { Client } from '@modelcontextprotocol/sdk/client';
+import { MCPService } from '$lib/services/mcp.service';
+import { MCPConnectionPhase, MCPTransportType } from '$lib/enums';
+import type { MCPConnectionLog, MCPServerConfig } from '$lib/types';
+
+type DiagnosticFetchFactory = (
+	serverName: string,
+	config: MCPServerConfig,
+	baseInit: RequestInit,
+	targetUrl: URL,
+	useProxy: boolean,
+	onLog?: (log: MCPConnectionLog) => void
+) => { fetch: typeof fetch; disable: () => void };
+
+const createDiagnosticFetch = (
+	config: MCPServerConfig,
+	onLog?: (log: MCPConnectionLog) => void,
+	baseInit: RequestInit = {}
+) =>
+	(
+		MCPService as unknown as { createDiagnosticFetch: DiagnosticFetchFactory }
+	).createDiagnosticFetch('test-server', config, baseInit, new URL(config.url), false, onLog);
+
+describe('MCPService', () => {
+	afterEach(() => {
+		vi.restoreAllMocks();
+		vi.unstubAllGlobals();
+	});
+
+	it('stops transport phase logging after handshake diagnostics are disabled', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, { method: 'POST', body: '{}' });
+		expect(logs).toHaveLength(2);
+		expect(logs.every((log) => log.message.includes('https://example.com/mcp'))).toBe(true);
+
+		controller.disable();
+		await controller.fetch(config.url, { method: 'POST', body: '{}' });
+
+		expect(logs).toHaveLength(2);
+	});
+
+	it('redacts all configured custom headers in diagnostic request logs', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP,
+			headers: {
+				'x-auth-token': 'secret-token',
+				'x-vendor-api-key': 'secret-key'
+			}
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log), {
+			headers: config.headers
+		});
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			headers: { 'content-type': 'application/json' },
+			body: '{}'
+		});
+
+		expect(logs).toHaveLength(2);
+		expect(logs[0].details).toMatchObject({
+			request: {
+				headers: {
+					'x-auth-token': '[redacted]',
+					'x-vendor-api-key': '[redacted]',
+					'content-type': 'application/json'
+				}
+			}
+		});
+	});
+
+	it('partially redacts mcp-session-id in diagnostic request and response logs', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: {
+				'content-type': 'application/json',
+				'mcp-session-id': 'session-response-67890'
+			}
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			headers: {
+				'content-type': 'application/json',
+				'mcp-session-id': 'session-request-12345'
+			},
+			body: '{}'
+		});
+
+		expect(logs).toHaveLength(2);
+		expect(logs[0].details).toMatchObject({
+			request: {
+				headers: {
+					'content-type': 'application/json',
+					'mcp-session-id': '....12345'
+				}
+			}
+		});
+		expect(logs[1].details).toMatchObject({
+			response: {
+				headers: {
+					'content-type': 'application/json',
+					'mcp-session-id': '....67890'
+				}
+			}
+		});
+	});
+
+	it('extracts JSON-RPC methods without logging the raw request body', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const response = new Response('{}', {
+			status: 200,
+			headers: { 'content-type': 'application/json' }
+		});
+
+		vi.stubGlobal('fetch', vi.fn().mockResolvedValue(response));
+
+		const config: MCPServerConfig = {
+			url: 'https://example.com/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await controller.fetch(config.url, {
+			method: 'POST',
+			body: JSON.stringify([
+				{ jsonrpc: '2.0', id: 1, method: 'initialize' },
+				{ jsonrpc: '2.0', method: 'notifications/initialized' }
+			])
+		});
+
+		expect(logs[0].details).toMatchObject({
+			request: {
+				method: 'POST',
+				body: {
+					kind: 'string',
+					size: expect.any(Number)
+				},
+				jsonRpcMethods: ['initialize', 'notifications/initialized']
+			}
+		});
+	});
+
+	it('adds a CORS hint to Failed to fetch diagnostic log messages', async () => {
+		const logs: MCPConnectionLog[] = [];
+		const fetchError = new TypeError('Failed to fetch');
+
+		vi.stubGlobal('fetch', vi.fn().mockRejectedValue(fetchError));
+
+		const config: MCPServerConfig = {
+			url: 'http://localhost:8000/mcp',
+			transport: MCPTransportType.STREAMABLE_HTTP
+		};
+
+		const controller = createDiagnosticFetch(config, (log) => logs.push(log));
+
+		await expect(controller.fetch(config.url, { method: 'POST', body: '{}' })).rejects.toThrow(
+			'Failed to fetch'
+		);
+
+		expect(logs).toHaveLength(2);
+		expect(logs[1].message).toBe(
+			'HTTP POST http://localhost:8000/mcp failed: Failed to fetch (check CORS?)'
+		);
+	});
+
+	it('detaches phase error logging after the initialize handshake completes', async () => {
+		const phaseLogs: Array<{ phase: MCPConnectionPhase; log: MCPConnectionLog }> = [];
+		const stopPhaseLogging = vi.fn();
+		let emitClientError: ((error: Error) => void) | undefined;
+
+		vi.spyOn(MCPService, 'createTransport').mockReturnValue({
+			transport: {} as never,
+			type: MCPTransportType.WEBSOCKET,
+			stopPhaseLogging
+		});
+		vi.spyOn(MCPService, 'listTools').mockResolvedValue([]);
+		vi.spyOn(Client.prototype, 'getServerVersion').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'getServerCapabilities').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'getInstructions').mockReturnValue(undefined);
+		vi.spyOn(Client.prototype, 'connect').mockImplementation(async function (this: Client) {
+			emitClientError = (error: Error) => this.onerror?.(error);
+			this.onerror?.(new Error('handshake protocol error'));
+		});
+
+		await MCPService.connect(
+			'test-server',
+			{
+				url: 'ws://example.com/mcp',
+				transport: MCPTransportType.WEBSOCKET
+			},
+			undefined,
+			undefined,
+			(phase, log) => phaseLogs.push({ phase, log })
+		);
+
+		expect(stopPhaseLogging).toHaveBeenCalledTimes(1);
+		expect(
+			phaseLogs.filter(
+				({ phase, log }) =>
+					phase === MCPConnectionPhase.ERROR &&
+					log.message === 'Protocol error: handshake protocol error'
+			)
+		).toHaveLength(1);
+
+		emitClientError?.(new Error('runtime protocol error'));
+
+		expect(
+			phaseLogs.filter(
+				({ phase, log }) =>
+					phase === MCPConnectionPhase.ERROR &&
+					log.message === 'Protocol error: runtime protocol error'
+			)
+		).toHaveLength(0);
+	});
+});
diff --git a/tools/server/webui/tests/unit/redact.test.ts b/tools/server/webui/tests/unit/redact.test.ts
new file mode 100644
index 000000000..750296c53
--- /dev/null
+++ b/tools/server/webui/tests/unit/redact.test.ts
@@ -0,0 +1,20 @@
+import { describe, expect, it } from 'vitest';
+import { redactValue } from '$lib/utils/redact';
+
+describe('redactValue', () => {
+	it('returns [redacted] by default', () => {
+		expect(redactValue('secret-token')).toBe('[redacted]');
+	});
+
+	it('shows last N characters when showLastChars is provided', () => {
+		expect(redactValue('session-abc12', 5)).toBe('....abc12');
+	});
+
+	it('handles value shorter than showLastChars', () => {
+		expect(redactValue('ab', 5)).toBe('....ab');
+	});
+
+	it('returns [redacted] when showLastChars is 0', () => {
+		expect(redactValue('secret', 0)).toBe('[redacted]');
+	});
+});
diff --git a/tools/server/webui/tests/unit/request-helpers.test.ts b/tools/server/webui/tests/unit/request-helpers.test.ts
new file mode 100644
index 000000000..c43252876
--- /dev/null
+++ b/tools/server/webui/tests/unit/request-helpers.test.ts
@@ -0,0 +1,124 @@
+import { describe, expect, it } from 'vitest';
+import {
+	getRequestUrl,
+	getRequestMethod,
+	getRequestBody,
+	summarizeRequestBody,
+	formatDiagnosticErrorMessage,
+	extractJsonRpcMethods
+} from '$lib/utils/request-helpers';
+
+describe('getRequestUrl', () => {
+	it('returns a plain string input as-is', () => {
+		expect(getRequestUrl('https://example.com/mcp')).toBe('https://example.com/mcp');
+	});
+
+	it('returns href from a URL object', () => {
+		expect(getRequestUrl(new URL('https://example.com/mcp'))).toBe('https://example.com/mcp');
+	});
+
+	it('returns url from a Request object', () => {
+		const req = new Request('https://example.com/mcp');
+		expect(getRequestUrl(req)).toBe('https://example.com/mcp');
+	});
+});
+
+describe('getRequestMethod', () => {
+	it('prefers method from init', () => {
+		expect(getRequestMethod('https://example.com', { method: 'POST' })).toBe('POST');
+	});
+
+	it('falls back to Request.method', () => {
+		const req = new Request('https://example.com', { method: 'PUT' });
+		expect(getRequestMethod(req)).toBe('PUT');
+	});
+
+	it('falls back to baseInit.method', () => {
+		expect(getRequestMethod('https://example.com', undefined, { method: 'DELETE' })).toBe('DELETE');
+	});
+
+	it('defaults to GET', () => {
+		expect(getRequestMethod('https://example.com')).toBe('GET');
+	});
+});
+
+describe('getRequestBody', () => {
+	it('returns body from init', () => {
+		expect(getRequestBody('https://example.com', { body: 'payload' })).toBe('payload');
+	});
+
+	it('returns undefined when no body is present', () => {
+		expect(getRequestBody('https://example.com')).toBeUndefined();
+	});
+});
+
+describe('summarizeRequestBody', () => {
+	it('returns empty for null', () => {
+		expect(summarizeRequestBody(null)).toEqual({ kind: 'empty' });
+	});
+
+	it('returns empty for undefined', () => {
+		expect(summarizeRequestBody(undefined)).toEqual({ kind: 'empty' });
+	});
+
+	it('returns string kind with size', () => {
+		expect(summarizeRequestBody('hello')).toEqual({ kind: 'string', size: 5 });
+	});
+
+	it('returns blob kind with size', () => {
+		const blob = new Blob(['abc']);
+		expect(summarizeRequestBody(blob)).toEqual({ kind: 'blob', size: 3 });
+	});
+
+	it('returns formdata kind', () => {
+		expect(summarizeRequestBody(new FormData())).toEqual({ kind: 'formdata' });
+	});
+
+	it('returns arraybuffer kind with size', () => {
+		expect(summarizeRequestBody(new ArrayBuffer(8))).toEqual({ kind: 'arraybuffer', size: 8 });
+	});
+});
+
+describe('formatDiagnosticErrorMessage', () => {
+	it('appends CORS hint for Failed to fetch', () => {
+		expect(formatDiagnosticErrorMessage(new TypeError('Failed to fetch'))).toBe(
+			'Failed to fetch (check CORS?)'
+		);
+	});
+
+	it('passes through other error messages unchanged', () => {
+		expect(formatDiagnosticErrorMessage(new Error('timeout'))).toBe('timeout');
+	});
+
+	it('handles non-Error values', () => {
+		expect(formatDiagnosticErrorMessage('some string')).toBe('some string');
+	});
+});
+
+describe('extractJsonRpcMethods', () => {
+	it('extracts methods from a JSON-RPC array', () => {
+		const body = JSON.stringify([
+			{ jsonrpc: '2.0', id: 1, method: 'initialize' },
+			{ jsonrpc: '2.0', method: 'notifications/initialized' }
+		]);
+		expect(extractJsonRpcMethods(body)).toEqual(['initialize', 'notifications/initialized']);
+	});
+
+	it('extracts method from a single JSON-RPC message', () => {
+		const body = JSON.stringify({ jsonrpc: '2.0', id: 1, method: 'tools/list' });
+		expect(extractJsonRpcMethods(body)).toEqual(['tools/list']);
+	});
+
+	it('returns undefined for non-string body', () => {
+		expect(extractJsonRpcMethods(null)).toBeUndefined();
+		expect(extractJsonRpcMethods(undefined)).toBeUndefined();
+	});
+
+	it('returns undefined for invalid JSON', () => {
+		expect(extractJsonRpcMethods('not json')).toBeUndefined();
+	});
+
+	it('returns undefined when no methods found', () => {
+		expect(extractJsonRpcMethods(JSON.stringify({ foo: 'bar' }))).toBeUndefined();
+	});
+});
diff --git a/tools/server/webui/tests/unit/sanitize-headers.test.ts b/tools/server/webui/tests/unit/sanitize-headers.test.ts
new file mode 100644
index 000000000..f5a682d86
--- /dev/null
+++ b/tools/server/webui/tests/unit/sanitize-headers.test.ts
@@ -0,0 +1,55 @@
+import { describe, expect, it } from 'vitest';
+import { sanitizeHeaders } from '$lib/utils/api-headers';
+
+describe('sanitizeHeaders', () => {
+	it('returns empty object for undefined input', () => {
+		expect(sanitizeHeaders()).toEqual({});
+	});
+
+	it('passes through non-sensitive headers', () => {
+		const headers = new Headers({ 'content-type': 'application/json', accept: 'text/html' });
+		expect(sanitizeHeaders(headers)).toEqual({
+			'content-type': 'application/json',
+			accept: 'text/html'
+		});
+	});
+
+	it('redacts known sensitive headers', () => {
+		const headers = new Headers({
+			authorization: 'Bearer secret',
+			'x-api-key': 'key-123',
+			'content-type': 'application/json'
+		});
+		const result = sanitizeHeaders(headers);
+		expect(result.authorization).toBe('[redacted]');
+		expect(result['x-api-key']).toBe('[redacted]');
+		expect(result['content-type']).toBe('application/json');
+	});
+
+	it('partially redacts headers specified in partialRedactHeaders', () => {
+		const headers = new Headers({ 'mcp-session-id': 'session-12345' });
+		const partial = new Map([['mcp-session-id', 5]]);
+		expect(sanitizeHeaders(headers, undefined, partial)['mcp-session-id']).toBe('....12345');
+	});
+
+	it('fully redacts mcp-session-id when no partialRedactHeaders is given', () => {
+		const headers = new Headers({ 'mcp-session-id': 'session-12345' });
+		expect(sanitizeHeaders(headers)['mcp-session-id']).toBe('[redacted]');
+	});
+
+	it('redacts extra headers provided by the caller', () => {
+		const headers = new Headers({
+			'x-vendor-key': 'vendor-secret',
+			'content-type': 'application/json'
+		});
+		const result = sanitizeHeaders(headers, ['x-vendor-key']);
+		expect(result['x-vendor-key']).toBe('[redacted]');
+		expect(result['content-type']).toBe('application/json');
+	});
+
+	it('handles case-insensitive extra header names', () => {
+		const headers = new Headers({ 'X-Custom-Token': 'token-value' });
+		const result = sanitizeHeaders(headers, ['X-CUSTOM-TOKEN']);
+		expect(result['x-custom-token']).toBe('[redacted]');
+	});
+});
diff --git a/tools/server/webui/tsconfig.json b/tools/server/webui/tsconfig.json
index 0b2d8865f..7c585f4db 100644
--- a/tools/server/webui/tsconfig.json
+++ b/tools/server/webui/tsconfig.json
@@ -10,7 +10,21 @@
 		"sourceMap": true,
 		"strict": true,
 		"moduleResolution": "bundler"
-	}
+	},
+	"include": [
+		".svelte-kit/ambient.d.ts",
+		".svelte-kit/non-ambient.d.ts",
+		".svelte-kit/types/**/$types.d.ts",
+		"vite.config.js",
+		"vite.config.ts",
+		"src/**/*.js",
+		"src/**/*.ts",
+		"src/**/*.svelte",
+		"tests/**/*.ts",
+		"tests/**/*.svelte",
+		".storybook/**/*.ts",
+		".storybook/**/*.svelte"
+	]
 	// Path aliases are handled by https://svelte.dev/docs/kit/configuration#alias
 	// except $lib which is handled by https://svelte.dev/docs/kit/configuration#files
 	//
diff --git a/tools/server/webui/vite.config.ts b/tools/server/webui/vite.config.ts
index ca478668e..9dfa2c2e1 100644
--- a/tools/server/webui/vite.config.ts
+++ b/tools/server/webui/vite.config.ts
@@ -1,108 +1,33 @@
 import tailwindcss from '@tailwindcss/vite';
 import { sveltekit } from '@sveltejs/kit/vite';
-import { readFileSync, writeFileSync, existsSync, readdirSync, copyFileSync } from 'fs';
 import { dirname, resolve } from 'path';
 import { fileURLToPath } from 'url';
 
 import { defineConfig, searchForWorkspaceRoot } from 'vite';
 import devtoolsJson from 'vite-plugin-devtools-json';
 import { storybookTest } from '@storybook/addon-vitest/vitest-plugin';
+import { llamaCppBuildPlugin } from './scripts/vite-plugin-llama-cpp-build';
 
 const __dirname = dirname(fileURLToPath(import.meta.url));
 
-const GUIDE_FOR_FRONTEND = `
-<!--
-  This is a single file build of the frontend.
-  It is automatically generated by the build process.
-  Do not edit this file directly.
-  To make changes, refer to the "Web UI" section in the README.
--->
-`.trim();
-
-/**
- * the maximum size of an embedded asset in bytes,
- * e.g. maximum size of embedded font (see node_modules/katex/dist/fonts/*.woff2)
- */
-const MAX_ASSET_SIZE = 32000;
-
-/** public/index.html minified flag */
-const ENABLE_JS_MINIFICATION = true;
-
-function llamaCppBuildPlugin() {
-	return {
-		name: 'llamacpp:build',
-		apply: 'build' as const,
-		closeBundle() {
-			// Ensure the SvelteKit adapter has finished writing to ../public
-			setTimeout(() => {
-				try {
-					const indexPath = resolve('../public/index.html');
-
-					if (!existsSync(indexPath)) {
-						return;
-					}
-
-					let content = readFileSync(indexPath, 'utf-8');
-
-					const faviconPath = resolve('static/favicon.svg');
-					if (existsSync(faviconPath)) {
-						const faviconContent = readFileSync(faviconPath, 'utf-8');
-						const faviconBase64 = Buffer.from(faviconContent).toString('base64');
-						const faviconDataUrl = `data:image/svg+xml;base64,${faviconBase64}`;
-
-						content = content.replace(/href="[^"]*favicon\.svg"/g, `href="${faviconDataUrl}"`);
-
-						console.log('✓ Inlined favicon.svg as base64 data URL');
-					}
-
-					content = content.replace(/\r/g, '');
-					content = GUIDE_FOR_FRONTEND + '\n' + content;
-					content = content.replace(/\/_app\/immutable\/bundle\.[^"]+\.js/g, './bundle.js');
-					content = content.replace(
-						/\/_app\/immutable\/assets\/bundle\.[^"]+\.css/g,
-						'./bundle.css'
-					);
-
-					writeFileSync(indexPath, content, 'utf-8');
-					console.log('✓ Updated index.html');
-
-					// Copy bundle.*.js -> ../public/bundle.js
-					const immutableDir = resolve('../public/_app/immutable');
-					const bundleDir = resolve('../public/_app/immutable/assets');
-					if (existsSync(immutableDir)) {
-						const jsFiles = readdirSync(immutableDir).filter((f) => f.match(/^bundle\..+\.js$/));
-						if (jsFiles.length > 0) {
-							copyFileSync(resolve(immutableDir, jsFiles[0]), resolve('../public/bundle.js'));
-							console.log(`✓ Copied ${jsFiles[0]} -> bundle.js`);
-						}
-					}
-					// Copy bundle.*.css -> ../public/bundle.css
-					if (existsSync(bundleDir)) {
-						const cssFiles = readdirSync(bundleDir).filter((f) => f.match(/^bundle\..+\.css$/));
-						if (cssFiles.length > 0) {
-							copyFileSync(resolve(bundleDir, cssFiles[0]), resolve('../public/bundle.css'));
-							console.log(`✓ Copied ${cssFiles[0]} -> bundle.css`);
-						}
-					}
-				} catch (error) {
-					console.error('Failed to update index.html:', error);
-				}
-			}, 100);
-		}
-	};
-}
-
 export default defineConfig({
 	resolve: {
 		alias: {
 			'katex-fonts': resolve('node_modules/katex/dist/fonts')
 		}
 	},
+
 	build: {
-		assetsInlineLimit: MAX_ASSET_SIZE,
+		assetsInlineLimit: 32000,
 		chunkSizeWarningLimit: 3072,
-		minify: ENABLE_JS_MINIFICATION
+		minify: true
+	},
+
+	esbuild: {
+		lineLimit: 500,
+		minifyIdentifiers: false
 	},
+
 	css: {
 		preprocessorOptions: {
 			scss: {
@@ -114,7 +39,9 @@ export default defineConfig({
 			}
 		}
 	},
+
 	plugins: [tailwindcss(), sveltekit(), devtoolsJson(), llamaCppBuildPlugin()],
+
 	test: {
 		projects: [
 			{
@@ -131,6 +58,7 @@ export default defineConfig({
 					setupFiles: ['./vitest-setup-client.ts']
 				}
 			},
+
 			{
 				extends: './vite.config.ts',
 				test: {
@@ -139,6 +67,7 @@ export default defineConfig({
 					include: ['tests/unit/**/*.{test,spec}.{js,ts}']
 				}
 			},
+
 			{
 				extends: './vite.config.ts',
 				test: {
@@ -166,6 +95,7 @@ export default defineConfig({
 			'/v1': 'http://localhost:8080',
 			'/props': 'http://localhost:8080',
 			'/models': 'http://localhost:8080',
+			'/tools': 'http://localhost:8080',
 			'/cors-proxy': 'http://localhost:8080'
 		},
 		headers: {
diff --git a/tools/tokenize/CMakeLists.txt b/tools/tokenize/CMakeLists.txt
index feed9a106..1e1836575 100644
--- a/tools/tokenize/CMakeLists.txt
+++ b/tools/tokenize/CMakeLists.txt
@@ -3,5 +3,5 @@ add_executable(${TARGET} tokenize.cpp)
 if(LLAMA_TOOLS_INSTALL)
     install(TARGETS ${TARGET} RUNTIME)
 endif()
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama-common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
diff --git a/tools/tts/CMakeLists.txt b/tools/tts/CMakeLists.txt
index 76320d4c2..26a8bb8f2 100644
--- a/tools/tts/CMakeLists.txt
+++ b/tools/tts/CMakeLists.txt
@@ -1,6 +1,6 @@
 set(TARGET llama-tts)
 add_executable(${TARGET} tts.cpp)
-target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE llama llama-common ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_17)
 
 if(LLAMA_TOOLS_INSTALL)
diff --git a/ty.toml b/ty.toml
index bcd23db9b..a07d7485d 100644
--- a/ty.toml
+++ b/ty.toml
@@ -1,5 +1,5 @@
 [environment]
-extra-paths = ["./gguf-py", "./examples/model-conversion/scripts", "./tools/server/tests"]
+extra-paths = ["./gguf-py", "./examples/model-conversion/scripts", "./tools/server/tests", "./scripts/snapdragon/qdc/tests"]
 python-version = "3.10"
 
 [rules]
@@ -13,6 +13,7 @@ exclude = [
 [[overrides]]
 include = [
     "./tools/server/tests/**",
+    "./scripts/snapdragon/qdc/tests/**",
 ]
 
 [overrides.rules]
diff --git a/vendor/cpp-httplib/CMakeLists.txt b/vendor/cpp-httplib/CMakeLists.txt
index f140d6d3a..df4b9ecce 100644
--- a/vendor/cpp-httplib/CMakeLists.txt
+++ b/vendor/cpp-httplib/CMakeLists.txt
@@ -5,6 +5,8 @@ find_package(Threads REQUIRED)
 
 llama_add_compile_flags()
 
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+
 add_library(${TARGET} STATIC httplib.cpp httplib.h)
 
 # disable warnings in 3rd party code
@@ -39,7 +41,7 @@ if (LLAMA_BUILD_BORINGSSL)
     set(FIPS OFF CACHE BOOL "Enable FIPS (BoringSSL)")
 
     set(BORINGSSL_GIT "https://boringssl.googlesource.com/boringssl" CACHE STRING "BoringSSL git repository")
-    set(BORINGSSL_VERSION "0.20260327.0" CACHE STRING "BoringSSL version")
+    set(BORINGSSL_VERSION "0.20260413.0" CACHE STRING "BoringSSL version")
 
     message(STATUS "Fetching BoringSSL version ${BORINGSSL_VERSION}")
 
@@ -79,7 +81,7 @@ if (LLAMA_BUILD_BORINGSSL)
     target_link_libraries(${TARGET} PUBLIC ssl crypto)
 
 elseif (LLAMA_BUILD_LIBRESSL)
-    set(LIBRESSL_VERSION "4.2.1" CACHE STRING "LibreSSL version")
+    set(LIBRESSL_VERSION "4.3.1" CACHE STRING "LibreSSL version")
 
     message(STATUS "Fetching LibreSSL version ${LIBRESSL_VERSION}")
 
@@ -159,12 +161,24 @@ if(LLAMA_BUILD_BORINGSSL OR LLAMA_BUILD_LIBRESSL)
         if(LLAMA_BUILD_BORINGSSL)
             target_compile_options(fipsmodule PRIVATE /w)
         endif()
+        if(LLAMA_BUILD_LIBRESSL)
+            target_compile_options(ssl_obj PRIVATE /w)
+            target_compile_options(bs_obj PRIVATE /w)
+            target_compile_options(compat_obj PRIVATE /w)
+            target_compile_options(crypto_obj PRIVATE /w)
+        endif()
     else()
         target_compile_options(ssl PRIVATE -w)
         target_compile_options(crypto PRIVATE -w)
         if(LLAMA_BUILD_BORINGSSL)
             target_compile_options(fipsmodule PRIVATE -w)
         endif()
+        if(LLAMA_BUILD_LIBRESSL)
+            target_compile_options(ssl_obj PRIVATE -w)
+            target_compile_options(bs_obj PRIVATE -w)
+            target_compile_options(compat_obj PRIVATE -w)
+            target_compile_options(crypto_obj PRIVATE -w)
+        endif()
     endif()
 endif()
 
diff --git a/vendor/cpp-httplib/httplib.cpp b/vendor/cpp-httplib/httplib.cpp
index 8ff1da57b..cb8ea9742 100644
--- a/vendor/cpp-httplib/httplib.cpp
+++ b/vendor/cpp-httplib/httplib.cpp
@@ -1,7 +1,5 @@
 #include "httplib.h"
 namespace httplib {
-// httplib::any — type-erased value container (C++11 compatible)
-// On C++17+ builds, thin wrappers around std::any are provided.
 
 /*
  * Implementation that will be part of the .cc file if split into .h + .cc.
@@ -874,7 +872,8 @@ bool write_websocket_frame(Stream &strm, ws::Opcode opcode,
     if (strm.write(reinterpret_cast<char *>(header), 2) < 0) { return false; }
     uint8_t ext[8];
     for (int i = 7; i >= 0; i--) {
-      ext[7 - i] = static_cast<uint8_t>((len >> (i * 8)) & 0xFF);
+      ext[7 - i] =
+          static_cast<uint8_t>((static_cast<uint64_t>(len) >> (i * 8)) & 0xFF);
     }
     if (strm.write(reinterpret_cast<char *>(ext), 8) < 0) { return false; }
   }
@@ -1036,10 +1035,15 @@ bool canonicalize_path(const char *path, std::string &resolved) {
   char buf[_MAX_PATH];
   if (_fullpath(buf, path, _MAX_PATH) == nullptr) { return false; }
   resolved = buf;
-#else
+#elif defined(PATH_MAX)
   char buf[PATH_MAX];
   if (realpath(path, buf) == nullptr) { return false; }
   resolved = buf;
+#else
+  auto buf = realpath(path, nullptr);
+  auto guard = scope_exit([&]() { std::free(buf); });
+  if (buf == nullptr) { return false; }
+  resolved = buf;
 #endif
   return true;
 }
@@ -1460,8 +1464,9 @@ bool mmap::open(const char *path) {
   auto wpath = u8string_to_wstring(path);
   if (wpath.empty()) { return false; }
 
-  hFile_ = ::CreateFile2(wpath.c_str(), GENERIC_READ, FILE_SHARE_READ,
-                         OPEN_EXISTING, NULL);
+  hFile_ =
+      ::CreateFile2(wpath.c_str(), GENERIC_READ,
+                    FILE_SHARE_READ | FILE_SHARE_WRITE, OPEN_EXISTING, NULL);
 
   if (hFile_ == INVALID_HANDLE_VALUE) { return false; }
 
@@ -1877,7 +1882,7 @@ int getaddrinfo_with_timeout(const char *node, const char *service,
   }
 
   return ret;
-#elif TARGET_OS_MAC
+#elif TARGET_OS_MAC && defined(__clang__)
   if (!node) { return EAI_NONAME; }
   // macOS implementation using CFHost API for asynchronous DNS resolution
   CFStringRef hostname_ref = CFStringCreateWithCString(
@@ -2048,56 +2053,50 @@ int getaddrinfo_with_timeout(const char *node, const char *service,
   return 0;
 #elif defined(_GNU_SOURCE) && defined(__GLIBC__) &&                            \
     (__GLIBC__ > 2 || (__GLIBC__ == 2 && __GLIBC_MINOR__ >= 2))
-  // Linux implementation using getaddrinfo_a for asynchronous DNS resolution
-  struct gaicb request;
+  // #2431: gai_cancel() is non-blocking and may return EAI_NOTCANCELED while
+  // the resolver worker still references the stack-local gaicb. The cancel
+  // path therefore waits (gai_suspend with no timeout) for the worker to
+  // actually finish before letting the stack frame go. The trade-off is that
+  // a wedged DNS server can hold this thread for the system resolver timeout
+  // (~30s by default) past the caller's connection timeout.
+  struct gaicb request {};
   struct gaicb *requests[1] = {&request};
-  struct sigevent sevp;
-  struct timespec timeout;
+  struct sigevent sevp {};
+  struct timespec timeout {
+    timeout_sec, 0
+  };
 
-  // Initialize the request structure
-  memset(&request, 0, sizeof(request));
   request.ar_name = node;
   request.ar_service = service;
   request.ar_request = hints;
-
-  // Set up timeout
-  timeout.tv_sec = timeout_sec;
-  timeout.tv_nsec = 0;
-
-  // Initialize sigevent structure (not used, but required)
-  memset(&sevp, 0, sizeof(sevp));
   sevp.sigev_notify = SIGEV_NONE;
 
-  // Start asynchronous resolution
-  int start_result = getaddrinfo_a(GAI_NOWAIT, requests, 1, &sevp);
-  if (start_result != 0) { return start_result; }
+  int rc = getaddrinfo_a(GAI_NOWAIT, requests, 1, &sevp);
+  if (rc != 0) { return rc; }
 
-  // Wait for completion with timeout
-  int wait_result =
-      gai_suspend((const struct gaicb *const *)requests, 1, &timeout);
+  auto cleanup = scope_exit([&] {
+    if (request.ar_result) { freeaddrinfo(request.ar_result); }
+  });
+
+  int wait_result = gai_suspend(requests, 1, &timeout);
 
   if (wait_result == 0 || wait_result == EAI_ALLDONE) {
-    // Completed successfully, get the result
     int gai_result = gai_error(&request);
     if (gai_result == 0) {
       *res = request.ar_result;
+      request.ar_result = nullptr;
       return 0;
-    } else {
-      // Clean up on error
-      if (request.ar_result) { freeaddrinfo(request.ar_result); }
-      return gai_result;
     }
-  } else if (wait_result == EAI_AGAIN) {
-    // Timeout occurred, cancel the request
-    gai_cancel(&request);
-    return EAI_AGAIN;
-  } else {
-    // Other error occurred
-    gai_cancel(&request);
-    return wait_result;
+    return gai_result;
+  }
+
+  gai_cancel(&request);
+  while (gai_error(&request) == EAI_INPROGRESS) {
+    gai_suspend(requests, 1, nullptr);
   }
+  return wait_result;
 #else
-  // Fallback implementation using thread-based timeout for other Unix systems
+  // Fallback implementation using thread-based timeout for other Unix systems.
 
   struct GetAddrInfoState {
     ~GetAddrInfoState() {
@@ -2507,6 +2506,10 @@ void get_remote_ip_and_port(socket_t sock, std::string &ip, int &port) {
   }
 }
 
+// Recursive form retained so operator""_t below can compute hashes for
+// switch-case labels at compile time (C++11 constexpr forbids loops). Do not
+// call from runtime paths with arbitrary-length inputs — use str2tag()
+// instead, which is iterative and stack-safe.
 constexpr unsigned int str2tag_core(const char *s, size_t l,
                                            unsigned int h) {
   return (l == 0)
@@ -2520,7 +2523,16 @@ constexpr unsigned int str2tag_core(const char *s, size_t l,
 }
 
 unsigned int str2tag(const std::string &s) {
-  return str2tag_core(s.data(), s.size(), 0);
+  // Iterative form of str2tag_core: the recursive constexpr version is kept
+  // for compile-time UDL evaluation of short string literals, but at runtime
+  // we may receive arbitrarily long inputs (e.g. fuzzed Content-Type) that
+  // would blow the stack with one frame per character.
+  unsigned int h = 0;
+  for (auto c : s) {
+    h = (((std::numeric_limits<unsigned int>::max)() >> 6) & h * 33) ^
+        static_cast<unsigned char>(c);
+  }
+  return h;
 }
 
 namespace udl {
@@ -2767,6 +2779,35 @@ EncodingType encoding_type(const Request &req, const Response &res) {
   return best;
 }
 
+std::unique_ptr<compressor> make_compressor(EncodingType type) {
+#ifdef CPPHTTPLIB_ZLIB_SUPPORT
+  if (type == EncodingType::Gzip) {
+    return detail::make_unique<gzip_compressor>();
+  }
+#endif
+#ifdef CPPHTTPLIB_BROTLI_SUPPORT
+  if (type == EncodingType::Brotli) {
+    return detail::make_unique<brotli_compressor>();
+  }
+#endif
+#ifdef CPPHTTPLIB_ZSTD_SUPPORT
+  if (type == EncodingType::Zstd) {
+    return detail::make_unique<zstd_compressor>();
+  }
+#endif
+  (void)type;
+  return nullptr;
+}
+
+const char *encoding_name(EncodingType type) {
+  switch (type) {
+  case EncodingType::Gzip: return "gzip";
+  case EncodingType::Brotli: return "br";
+  case EncodingType::Zstd: return "zstd";
+  default: return "";
+  }
+}
+
 bool nocompressor::compress(const char *data, size_t data_length,
                                    bool /*last*/, Callback callback) {
   if (!data_length) { return true; }
@@ -3099,6 +3140,29 @@ const char *get_header_value(const Headers &headers,
   return def;
 }
 
+size_t get_header_value_count(const Headers &headers,
+                                     const std::string &key) {
+  auto r = headers.equal_range(key);
+  return static_cast<size_t>(std::distance(r.first, r.second));
+}
+
+template <typename Map>
+typename Map::mapped_type
+get_multimap_value(const Map &m, const std::string &key, size_t id) {
+  auto rng = m.equal_range(key);
+  auto it = rng.first;
+  std::advance(it, static_cast<ssize_t>(id));
+  if (it != rng.second) { return it->second; }
+  return typename Map::mapped_type();
+}
+
+void set_header(Headers &headers, const std::string &key,
+                       const std::string &val) {
+  if (fields::is_field_name(key) && fields::is_field_value(val)) {
+    headers.emplace(key, val);
+  }
+}
+
 bool read_headers(Stream &strm, Headers &headers) {
   const auto bufsiz = 2048;
   char buf[bufsiz];
@@ -5793,16 +5857,12 @@ std::string Request::get_header_value(const std::string &key,
 }
 
 size_t Request::get_header_value_count(const std::string &key) const {
-  auto r = headers.equal_range(key);
-  return static_cast<size_t>(std::distance(r.first, r.second));
+  return detail::get_header_value_count(headers, key);
 }
 
 void Request::set_header(const std::string &key,
                                 const std::string &val) {
-  if (detail::fields::is_field_name(key) &&
-      detail::fields::is_field_value(val)) {
-    headers.emplace(key, val);
-  }
+  detail::set_header(headers, key, val);
 }
 
 bool Request::has_trailer(const std::string &key) const {
@@ -5811,11 +5871,7 @@ bool Request::has_trailer(const std::string &key) const {
 
 std::string Request::get_trailer_value(const std::string &key,
                                               size_t id) const {
-  auto rng = trailers.equal_range(key);
-  auto it = rng.first;
-  std::advance(it, static_cast<ssize_t>(id));
-  if (it != rng.second) { return it->second; }
-  return std::string();
+  return detail::get_multimap_value(trailers, key, id);
 }
 
 size_t Request::get_trailer_value_count(const std::string &key) const {
@@ -5829,11 +5885,18 @@ bool Request::has_param(const std::string &key) const {
 
 std::string Request::get_param_value(const std::string &key,
                                             size_t id) const {
+  return detail::get_multimap_value(params, key, id);
+}
+
+std::vector<std::string>
+Request::get_param_values(const std::string &key) const {
   auto rng = params.equal_range(key);
-  auto it = rng.first;
-  std::advance(it, static_cast<ssize_t>(id));
-  if (it != rng.second) { return it->second; }
-  return std::string();
+  std::vector<std::string> values;
+  values.reserve(static_cast<size_t>(std::distance(rng.first, rng.second)));
+  for (auto it = rng.first; it != rng.second; ++it) {
+    values.push_back(it->second);
+  }
+  return values;
 }
 
 size_t Request::get_param_value_count(const std::string &key) const {
@@ -5877,11 +5940,7 @@ size_t MultipartFormData::get_field_count(const std::string &key) const {
 
 FormData MultipartFormData::get_file(const std::string &key,
                                             size_t id) const {
-  auto rng = files.equal_range(key);
-  auto it = rng.first;
-  std::advance(it, static_cast<ssize_t>(id));
-  if (it != rng.second) { return it->second; }
-  return FormData();
+  return detail::get_multimap_value(files, key, id);
 }
 
 std::vector<FormData>
@@ -5920,16 +5979,12 @@ std::string Response::get_header_value(const std::string &key,
 }
 
 size_t Response::get_header_value_count(const std::string &key) const {
-  auto r = headers.equal_range(key);
-  return static_cast<size_t>(std::distance(r.first, r.second));
+  return detail::get_header_value_count(headers, key);
 }
 
 void Response::set_header(const std::string &key,
                                  const std::string &val) {
-  if (detail::fields::is_field_name(key) &&
-      detail::fields::is_field_value(val)) {
-    headers.emplace(key, val);
-  }
+  detail::set_header(headers, key, val);
 }
 bool Response::has_trailer(const std::string &key) const {
   return trailers.find(key) != trailers.end();
@@ -5937,11 +5992,7 @@ bool Response::has_trailer(const std::string &key) const {
 
 std::string Response::get_trailer_value(const std::string &key,
                                                size_t id) const {
-  auto rng = trailers.equal_range(key);
-  auto it = rng.first;
-  std::advance(it, static_cast<ssize_t>(id));
-  if (it != rng.second) { return it->second; }
-  return std::string();
+  return detail::get_multimap_value(trailers, key, id);
 }
 
 size_t Response::get_trailer_value_count(const std::string &key) const {
@@ -6244,15 +6295,6 @@ void ThreadPool::worker(bool is_dynamic) {
 
     assert(true == static_cast<bool>(fn));
     fn();
-
-    // Dynamic thread: exit if queue is empty after task completion
-    if (is_dynamic) {
-      std::unique_lock<std::mutex> lock(mutex_);
-      if (jobs_.empty()) {
-        move_to_finished(std::this_thread::get_id());
-        break;
-      }
-    }
   }
 
 #if defined(CPPHTTPLIB_OPENSSL_SUPPORT) && !defined(OPENSSL_IS_BORINGSSL) &&   \
@@ -6782,61 +6824,51 @@ Server::make_matcher(const std::string &pattern) {
 }
 
 Server &Server::Get(const std::string &pattern, Handler handler) {
-  get_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(get_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::Post(const std::string &pattern, Handler handler) {
-  post_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(post_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::Post(const std::string &pattern,
                             HandlerWithContentReader handler) {
-  post_handlers_for_content_reader_.emplace_back(make_matcher(pattern),
-                                                 std::move(handler));
-  return *this;
+  return add_handler(post_handlers_for_content_reader_, pattern,
+                     std::move(handler));
 }
 
 Server &Server::Put(const std::string &pattern, Handler handler) {
-  put_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(put_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::Put(const std::string &pattern,
                            HandlerWithContentReader handler) {
-  put_handlers_for_content_reader_.emplace_back(make_matcher(pattern),
-                                                std::move(handler));
-  return *this;
+  return add_handler(put_handlers_for_content_reader_, pattern,
+                     std::move(handler));
 }
 
 Server &Server::Patch(const std::string &pattern, Handler handler) {
-  patch_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(patch_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::Patch(const std::string &pattern,
                              HandlerWithContentReader handler) {
-  patch_handlers_for_content_reader_.emplace_back(make_matcher(pattern),
-                                                  std::move(handler));
-  return *this;
+  return add_handler(patch_handlers_for_content_reader_, pattern,
+                     std::move(handler));
 }
 
 Server &Server::Delete(const std::string &pattern, Handler handler) {
-  delete_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(delete_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::Delete(const std::string &pattern,
                               HandlerWithContentReader handler) {
-  delete_handlers_for_content_reader_.emplace_back(make_matcher(pattern),
-                                                   std::move(handler));
-  return *this;
+  return add_handler(delete_handlers_for_content_reader_, pattern,
+                     std::move(handler));
 }
 
 Server &Server::Options(const std::string &pattern, Handler handler) {
-  options_handlers_.emplace_back(make_matcher(pattern), std::move(handler));
-  return *this;
+  return add_handler(options_handlers_, pattern, std::move(handler));
 }
 
 Server &Server::WebSocket(const std::string &pattern,
@@ -7013,6 +7045,15 @@ Server &Server::set_keep_alive_timeout(time_t sec) {
   return *this;
 }
 
+template <class Rep, class Period>
+Server &Server::set_keep_alive_timeout(
+    const std::chrono::duration<Rep, Period> &duration) {
+  detail::duration_to_sec_and_usec(duration, [&](time_t sec, time_t /*usec*/) {
+    set_keep_alive_timeout(sec);
+  });
+  return *this;
+}
+
 Server &Server::set_read_timeout(time_t sec, time_t usec) {
   read_timeout_sec_ = sec;
   read_timeout_usec_ = usec;
@@ -7036,6 +7077,11 @@ Server &Server::set_payload_max_length(size_t length) {
   return *this;
 }
 
+Server &Server::set_websocket_max_missed_pongs(int count) {
+  websocket_max_missed_pongs_ = count;
+  return *this;
+}
+
 Server &Server::set_websocket_ping_interval(time_t sec) {
   websocket_ping_interval_sec_ = sec;
   return *this;
@@ -7261,23 +7307,10 @@ Server::write_content_with_provider(Stream &strm, const Request &req,
     if (res.is_chunked_content_provider_) {
       auto type = detail::encoding_type(req, res);
 
-      std::unique_ptr<detail::compressor> compressor;
-      if (type == detail::EncodingType::Gzip) {
-#ifdef CPPHTTPLIB_ZLIB_SUPPORT
-        compressor = detail::make_unique<detail::gzip_compressor>();
-#endif
-      } else if (type == detail::EncodingType::Brotli) {
-#ifdef CPPHTTPLIB_BROTLI_SUPPORT
-        compressor = detail::make_unique<detail::brotli_compressor>();
-#endif
-      } else if (type == detail::EncodingType::Zstd) {
-#ifdef CPPHTTPLIB_ZSTD_SUPPORT
-        compressor = detail::make_unique<detail::zstd_compressor>();
-#endif
-      } else {
+      auto compressor = detail::make_compressor(type);
+      if (!compressor) {
         compressor = detail::make_unique<detail::nocompressor>();
       }
-      assert(compressor != nullptr);
 
       return detail::write_content_chunked(strm, res.content_provider_,
                                            is_shutting_down, *compressor);
@@ -7899,14 +7932,8 @@ void Server::apply_ranges(const Request &req, Response &res,
       if (res.content_provider_) {
         if (res.is_chunked_content_provider_) {
           res.set_header("Transfer-Encoding", "chunked");
-          if (type == detail::EncodingType::Gzip) {
-            res.set_header("Content-Encoding", "gzip");
-            res.set_header("Vary", "Accept-Encoding");
-          } else if (type == detail::EncodingType::Brotli) {
-            res.set_header("Content-Encoding", "br");
-            res.set_header("Vary", "Accept-Encoding");
-          } else if (type == detail::EncodingType::Zstd) {
-            res.set_header("Content-Encoding", "zstd");
+          if (type != detail::EncodingType::None) {
+            res.set_header("Content-Encoding", detail::encoding_name(type));
             res.set_header("Vary", "Accept-Encoding");
           }
         }
@@ -7937,27 +7964,7 @@ void Server::apply_ranges(const Request &req, Response &res,
     if (type != detail::EncodingType::None) {
       output_pre_compression_log(req, res);
 
-      std::unique_ptr<detail::compressor> compressor;
-      std::string content_encoding;
-
-      if (type == detail::EncodingType::Gzip) {
-#ifdef CPPHTTPLIB_ZLIB_SUPPORT
-        compressor = detail::make_unique<detail::gzip_compressor>();
-        content_encoding = "gzip";
-#endif
-      } else if (type == detail::EncodingType::Brotli) {
-#ifdef CPPHTTPLIB_BROTLI_SUPPORT
-        compressor = detail::make_unique<detail::brotli_compressor>();
-        content_encoding = "br";
-#endif
-      } else if (type == detail::EncodingType::Zstd) {
-#ifdef CPPHTTPLIB_ZSTD_SUPPORT
-        compressor = detail::make_unique<detail::zstd_compressor>();
-        content_encoding = "zstd";
-#endif
-      }
-
-      if (compressor) {
+      if (auto compressor = detail::make_compressor(type)) {
         std::string compressed;
         if (compressor->compress(res.body.data(), res.body.size(), true,
                                  [&](const char *data, size_t data_len) {
@@ -7965,7 +7972,7 @@ void Server::apply_ranges(const Request &req, Response &res,
                                    return true;
                                  })) {
           res.body.swap(compressed);
-          res.set_header("Content-Encoding", content_encoding);
+          res.set_header("Content-Encoding", detail::encoding_name(type));
           res.set_header("Vary", "Accept-Encoding");
         }
       }
@@ -8213,7 +8220,8 @@ Server::process_request(Stream &strm, const std::string &remote_addr,
         {
           // Use WebSocket-specific read timeout instead of HTTP timeout
           strm.set_read_timeout(CPPHTTPLIB_WEBSOCKET_READ_TIMEOUT_SECOND, 0);
-          ws::WebSocket ws(strm, req, true, websocket_ping_interval_sec_);
+          ws::WebSocket ws(strm, req, true, websocket_ping_interval_sec_,
+                           websocket_max_missed_pongs_);
           entry.handler(req, ws);
         }
         return true;
@@ -9119,20 +9127,21 @@ bool ClientImpl::redirect(Request &req, Response &res, Error &error) {
   auto location = res.get_header_value("location");
   if (location.empty()) { return false; }
 
-  thread_local const std::regex re(
-      R"((?:(https?):)?(?://(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)?([^?#]*)(\?[^#]*)?(?:#.*)?)");
+  detail::UrlComponents uc;
+  if (!detail::parse_url(location, uc)) { return false; }
 
-  std::smatch m;
-  if (!std::regex_match(location, m, re)) { return false; }
+  // Only follow http/https redirects
+  if (!uc.scheme.empty() && uc.scheme != "http" && uc.scheme != "https") {
+    return false;
+  }
 
   auto scheme = is_ssl() ? "https" : "http";
 
-  auto next_scheme = m[1].str();
-  auto next_host = m[2].str();
-  if (next_host.empty()) { next_host = m[3].str(); }
-  auto port_str = m[4].str();
-  auto next_path = m[5].str();
-  auto next_query = m[6].str();
+  auto next_scheme = std::move(uc.scheme);
+  auto next_host = std::move(uc.host);
+  auto port_str = std::move(uc.port);
+  auto next_path = std::move(uc.path);
+  auto next_query = std::move(uc.query);
 
   auto next_port = port_;
   if (!port_str.empty()) {
@@ -9145,7 +9154,7 @@ bool ClientImpl::redirect(Request &req, Response &res, Error &error) {
   if (next_host.empty()) { next_host = host_; }
   if (next_path.empty()) { next_path = "/"; }
 
-  auto path = decode_query_component(next_path, true) + next_query;
+  auto path = decode_path_component(next_path) + next_query;
 
   // Same host redirect - use current client
   if (next_scheme == scheme && next_host == host_ && next_port == port_) {
@@ -9781,7 +9790,15 @@ bool ClientImpl::process_request(Stream &strm, Request &req,
           output_error_log(error, &req);
           return false;
         }
-        res.body.reserve(static_cast<size_t>(len));
+        // Cap the reservation by payload_max_length_ to avoid OOM when a
+        // hostile or malformed server sends an enormous Content-Length.
+        // The actual body read below is bounded by payload_max_length_,
+        // so reserving more than that is never useful.
+        auto reserve_len = static_cast<size_t>(len);
+        if (payload_max_length_ > 0 && reserve_len > payload_max_length_) {
+          reserve_len = payload_max_length_;
+        }
+        res.body.reserve(reserve_len);
       }
     }
 
@@ -10803,38 +10820,6 @@ void ClientImpl::enable_server_hostname_verification(bool enabled) {
 }
 #endif
 
-// ClientImpl::set_ca_cert_store is defined after TLS namespace (uses helpers)
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-X509_STORE *ClientImpl::create_ca_cert_store(const char *ca_cert,
-                                                    std::size_t size) const {
-  auto mem = BIO_new_mem_buf(ca_cert, static_cast<int>(size));
-  auto se = detail::scope_exit([&] { BIO_free_all(mem); });
-  if (!mem) { return nullptr; }
-
-  auto inf = PEM_X509_INFO_read_bio(mem, nullptr, nullptr, nullptr);
-  if (!inf) { return nullptr; }
-
-  auto cts = X509_STORE_new();
-  if (cts) {
-    for (auto i = 0; i < static_cast<int>(sk_X509_INFO_num(inf)); i++) {
-      auto itmp = sk_X509_INFO_value(inf, i);
-      if (!itmp) { continue; }
-
-      if (itmp->x509) { X509_STORE_add_cert(cts, itmp->x509); }
-      if (itmp->crl) { X509_STORE_add_crl(cts, itmp->crl); }
-    }
-  }
-
-  sk_X509_INFO_pop_free(inf, X509_INFO_free);
-  return cts;
-}
-
-void ClientImpl::set_server_certificate_verifier(
-    std::function<SSLVerifierResponse(SSL *ssl)> /*verifier*/) {
-  // Base implementation does nothing - SSLClient overrides this
-}
-#endif
-
 void ClientImpl::set_logger(Logger logger) {
   logger_ = std::move(logger);
 }
@@ -10869,12 +10854,9 @@ Client::Client(const std::string &scheme_host_port)
 Client::Client(const std::string &scheme_host_port,
                       const std::string &client_cert_path,
                       const std::string &client_key_path) {
-  const static std::regex re(
-      R"((?:([a-z]+):\/\/)?(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?)");
-
-  std::smatch m;
-  if (std::regex_match(scheme_host_port, m, re)) {
-    auto scheme = m[1].str();
+  detail::UrlComponents uc;
+  if (detail::parse_url(scheme_host_port, uc) && !uc.host.empty()) {
+    auto &scheme = uc.scheme;
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     if (!scheme.empty() && (scheme != "http" && scheme != "https")) {
@@ -10890,12 +10872,10 @@ Client::Client(const std::string &scheme_host_port,
 
     auto is_ssl = scheme == "https";
 
-    auto host = m[2].str();
-    if (host.empty()) { host = m[3].str(); }
+    auto host = std::move(uc.host);
 
-    auto port_str = m[4].str();
     auto port = is_ssl ? 443 : 80;
-    if (!port_str.empty() && !detail::parse_port(port_str, port)) { return; }
+    if (!uc.port.empty() && !detail::parse_port(uc.port, port)) { return; }
 
     if (is_ssl) {
 #ifdef CPPHTTPLIB_SSL_ENABLED
@@ -10913,10 +10893,10 @@ Client::Client(const std::string &scheme_host_port,
     cli_ = detail::make_unique<ClientImpl>(scheme_host_port, 80,
                                            client_cert_path, client_key_path);
   }
-} // namespace detail
+}
 
 Client::Client(const std::string &host, int port)
-    : cli_(detail::make_unique<ClientImpl>(host, port)) {}
+    : Client(host, port, std::string(), std::string()) {}
 
 Client::Client(const std::string &host, int port,
                       const std::string &client_cert_path,
@@ -11491,12 +11471,6 @@ void Client::set_follow_location(bool on) {
 
 void Client::set_path_encode(bool on) { cli_->set_path_encode(on); }
 
-[[deprecated("Use set_path_encode() instead. "
-             "This function will be removed by v1.0.0.")]]
-void Client::set_url_encode(bool on) {
-  cli_->set_path_encode(on);
-}
-
 void Client::set_compress(bool on) { cli_->set_compress(on); }
 
 void Client::set_decompress(bool on) { cli_->set_decompress(on); }
@@ -11879,24 +11853,31 @@ SSLClient::SSLClient(const std::string &host)
 SSLClient::SSLClient(const std::string &host, int port)
     : SSLClient(host, port, std::string(), std::string()) {}
 
+void SSLClient::init_ctx() {
+  ctx_ = tls::create_client_context();
+  if (ctx_) { tls::set_min_version(ctx_, tls::Version::TLS1_2); }
+}
+
+void SSLClient::reset_ctx_on_error() {
+  last_backend_error_ = tls::get_error();
+  tls::free_context(ctx_);
+  ctx_ = nullptr;
+}
+
 SSLClient::SSLClient(const std::string &host, int port,
                             const std::string &client_cert_path,
                             const std::string &client_key_path,
                             const std::string &private_key_password)
     : ClientImpl(host, port, client_cert_path, client_key_path) {
-  ctx_ = tls::create_client_context();
+  init_ctx();
   if (!ctx_) { return; }
 
-  tls::set_min_version(ctx_, tls::Version::TLS1_2);
-
   if (!client_cert_path.empty() && !client_key_path.empty()) {
     const char *password =
         private_key_password.empty() ? nullptr : private_key_password.c_str();
     if (!tls::set_client_cert_file(ctx_, client_cert_path.c_str(),
                                    client_key_path.c_str(), password)) {
-      last_backend_error_ = tls::get_error();
-      tls::free_context(ctx_);
-      ctx_ = nullptr;
+      reset_ctx_on_error();
     }
   }
 }
@@ -11904,17 +11885,13 @@ SSLClient::SSLClient(const std::string &host, int port,
 SSLClient::SSLClient(const std::string &host, int port,
                             const PemMemory &pem)
     : ClientImpl(host, port) {
-  ctx_ = tls::create_client_context();
+  init_ctx();
   if (!ctx_) { return; }
 
-  tls::set_min_version(ctx_, tls::Version::TLS1_2);
-
   if (pem.cert_pem && pem.key_pem) {
     if (!tls::set_client_cert_pem(ctx_, pem.cert_pem, pem.key_pem,
                                   pem.private_key_password)) {
-      last_backend_error_ = tls::get_error();
-      tls::free_context(ctx_);
-      ctx_ = nullptr;
+      reset_ctx_on_error();
     }
   }
 }
@@ -12465,23 +12442,6 @@ std::string Request::sni() const {
  * Group 8: TLS abstraction layer - OpenSSL backend
  */
 
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-SSL_CTX *Client::ssl_context() const {
-  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).ssl_context(); }
-  return nullptr;
-}
-
-void Client::set_server_certificate_verifier(
-    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
-  cli_->set_server_certificate_verifier(verifier);
-}
-
-long Client::get_verify_result() const {
-  if (is_ssl_) { return static_cast<SSLClient &>(*cli_).get_verify_result(); }
-  return -1; // NOTE: -1 doesn't match any of X509_V_ERR_???
-}
-#endif // CPPHTTPLIB_OPENSSL_SUPPORT
-
 /*
  * OpenSSL Backend Implementation
  */
@@ -12491,54 +12451,6 @@ namespace tls {
 
 namespace impl {
 
-// OpenSSL-specific helpers for converting native types to PEM
-std::string x509_to_pem(X509 *cert) {
-  if (!cert) return {};
-  BIO *bio = BIO_new(BIO_s_mem());
-  if (!bio) return {};
-  if (PEM_write_bio_X509(bio, cert) != 1) {
-    BIO_free(bio);
-    return {};
-  }
-  char *data = nullptr;
-  long len = BIO_get_mem_data(bio, &data);
-  std::string pem(data, static_cast<size_t>(len));
-  BIO_free(bio);
-  return pem;
-}
-
-std::string evp_pkey_to_pem(EVP_PKEY *key) {
-  if (!key) return {};
-  BIO *bio = BIO_new(BIO_s_mem());
-  if (!bio) return {};
-  if (PEM_write_bio_PrivateKey(bio, key, nullptr, nullptr, 0, nullptr,
-                               nullptr) != 1) {
-    BIO_free(bio);
-    return {};
-  }
-  char *data = nullptr;
-  long len = BIO_get_mem_data(bio, &data);
-  std::string pem(data, static_cast<size_t>(len));
-  BIO_free(bio);
-  return pem;
-}
-
-std::string x509_store_to_pem(X509_STORE *store) {
-  if (!store) return {};
-  std::string pem;
-  auto objs = X509_STORE_get0_objects(store);
-  if (!objs) return {};
-  auto count = sk_X509_OBJECT_num(objs);
-  for (decltype(count) i = 0; i < count; i++) {
-    auto obj = sk_X509_OBJECT_value(objs, i);
-    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
-      auto cert = X509_OBJECT_get0_X509(obj);
-      if (cert) { pem += x509_to_pem(cert); }
-    }
-  }
-  return pem;
-}
-
 // Helper to map OpenSSL SSL_get_error to ErrorCode
 ErrorCode map_ssl_error(int ssl_error, int &out_errno) {
   switch (ssl_error) {
@@ -12571,8 +12483,10 @@ STACK_OF(X509_NAME) *
   X509 *cert = nullptr;
   while ((cert = PEM_read_bio_X509(bio, nullptr, nullptr, nullptr)) !=
          nullptr) {
-    X509_NAME *name = X509_get_subject_name(cert);
-    if (name) { sk_X509_NAME_push(ca_list, X509_NAME_dup(name)); }
+    const X509_NAME *name = X509_get_subject_name(cert);
+    if (name) {
+      sk_X509_NAME_push(ca_list, X509_NAME_dup(const_cast<X509_NAME *>(name)));
+    }
     X509_free(cert);
   }
   BIO_free(bio);
@@ -12580,45 +12494,6 @@ STACK_OF(X509_NAME) *
   return ca_list;
 }
 
-// Helper: Extract CA names from X509_STORE
-// Returns a new STACK_OF(X509_NAME)* or nullptr on failure
-// Caller takes ownership of returned list
-STACK_OF(X509_NAME) *
-    extract_client_ca_list_from_store(X509_STORE *store) {
-  if (!store) { return nullptr; }
-
-  auto ca_list = sk_X509_NAME_new_null();
-  if (!ca_list) { return nullptr; }
-
-  auto objs = X509_STORE_get0_objects(store);
-  if (!objs) {
-    sk_X509_NAME_free(ca_list);
-    return nullptr;
-  }
-
-  auto count = sk_X509_OBJECT_num(objs);
-  for (decltype(count) i = 0; i < count; i++) {
-    auto obj = sk_X509_OBJECT_value(objs, i);
-    if (X509_OBJECT_get_type(obj) == X509_LU_X509) {
-      auto cert = X509_OBJECT_get0_X509(obj);
-      if (cert) {
-        auto subject = X509_get_subject_name(cert);
-        if (subject) {
-          auto name_dup = X509_NAME_dup(subject);
-          if (name_dup) { sk_X509_NAME_push(ca_list, name_dup); }
-        }
-      }
-    }
-  }
-
-  if (sk_X509_NAME_num(ca_list) == 0) {
-    sk_X509_NAME_free(ca_list);
-    return nullptr;
-  }
-
-  return ca_list;
-}
-
 // OpenSSL verify callback wrapper
 int openssl_verify_callback(int preverify_ok, X509_STORE_CTX *ctx) {
   auto &callback = get_verify_callback();
@@ -13054,6 +12929,9 @@ ssize_t read(session_t session, void *buf, size_t len, TlsError &err) {
 
   auto ssl_err = SSL_get_error(ssl, ret);
   err.code = impl::map_ssl_error(ssl_err, err.sys_errno);
+  if (err.code == ErrorCode::PeerClosed) {
+    return 0;
+  } // Gracefully handle the peer closed state.
   if (err.code == ErrorCode::Fatal) { err.backend_code = ERR_get_error(); }
   return -1;
 }
@@ -13491,164 +13369,8 @@ std::string verify_error_string(long error_code) {
   return str ? str : "unknown error";
 }
 
-namespace impl {
-
-// OpenSSL-specific helpers for public API wrappers
-ctx_t create_server_context_from_x509(X509 *cert, EVP_PKEY *key,
-                                             X509_STORE *client_ca_store,
-                                             int &out_error) {
-  out_error = 0;
-  auto cert_pem = x509_to_pem(cert);
-  auto key_pem = evp_pkey_to_pem(key);
-  if (cert_pem.empty() || key_pem.empty()) {
-    out_error = static_cast<int>(ERR_get_error());
-    return nullptr;
-  }
-
-  auto ctx = create_server_context();
-  if (!ctx) {
-    out_error = static_cast<int>(get_error());
-    return nullptr;
-  }
-
-  if (!set_server_cert_pem(ctx, cert_pem.c_str(), key_pem.c_str(), nullptr)) {
-    out_error = static_cast<int>(get_error());
-    free_context(ctx);
-    return nullptr;
-  }
-
-  if (client_ca_store) {
-    // Set cert store for verification (SSL_CTX_set_cert_store takes ownership)
-    SSL_CTX_set_cert_store(static_cast<SSL_CTX *>(ctx), client_ca_store);
-
-    // Extract and set client CA list directly from store (more efficient than
-    // PEM conversion)
-    auto ca_list = extract_client_ca_list_from_store(client_ca_store);
-    if (ca_list) {
-      SSL_CTX_set_client_CA_list(static_cast<SSL_CTX *>(ctx), ca_list);
-    }
-
-    set_verify_client(ctx, true);
-  }
-
-  return ctx;
-}
-
-void update_server_certs_from_x509(ctx_t ctx, X509 *cert, EVP_PKEY *key,
-                                          X509_STORE *client_ca_store) {
-  auto cert_pem = x509_to_pem(cert);
-  auto key_pem = evp_pkey_to_pem(key);
-
-  if (!cert_pem.empty() && !key_pem.empty()) {
-    update_server_cert(ctx, cert_pem.c_str(), key_pem.c_str(), nullptr);
-  }
-
-  if (client_ca_store) {
-    auto ca_pem = x509_store_to_pem(client_ca_store);
-    if (!ca_pem.empty()) { update_server_client_ca(ctx, ca_pem.c_str()); }
-    X509_STORE_free(client_ca_store);
-  }
-}
-
-ctx_t create_client_context_from_x509(X509 *cert, EVP_PKEY *key,
-                                             const char *password,
-                                             uint64_t &out_error) {
-  out_error = 0;
-  auto ctx = create_client_context();
-  if (!ctx) {
-    out_error = get_error();
-    return nullptr;
-  }
-
-  if (cert && key) {
-    auto cert_pem = x509_to_pem(cert);
-    auto key_pem = evp_pkey_to_pem(key);
-    if (cert_pem.empty() || key_pem.empty()) {
-      out_error = ERR_get_error();
-      free_context(ctx);
-      return nullptr;
-    }
-    if (!set_client_cert_pem(ctx, cert_pem.c_str(), key_pem.c_str(),
-                             password)) {
-      out_error = get_error();
-      free_context(ctx);
-      return nullptr;
-    }
-  }
-
-  return ctx;
-}
-
-} // namespace impl
-
 } // namespace tls
 
-// ClientImpl::set_ca_cert_store - defined here to use
-// tls::impl::x509_store_to_pem Deprecated: converts X509_STORE to PEM and
-// stores for redirect transfer
-void ClientImpl::set_ca_cert_store(X509_STORE *ca_cert_store) {
-  if (ca_cert_store) {
-    ca_cert_pem_ = tls::impl::x509_store_to_pem(ca_cert_store);
-  }
-}
-
-SSLServer::SSLServer(X509 *cert, EVP_PKEY *private_key,
-                            X509_STORE *client_ca_cert_store) {
-  ctx_ = tls::impl::create_server_context_from_x509(
-      cert, private_key, client_ca_cert_store, last_ssl_error_);
-}
-
-SSLServer::SSLServer(
-    const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback) {
-  // Use abstract API to create context
-  ctx_ = tls::create_server_context();
-  if (ctx_) {
-    // Pass to OpenSSL-specific callback (ctx_ is SSL_CTX* internally)
-    auto ssl_ctx = static_cast<SSL_CTX *>(ctx_);
-    if (!setup_ssl_ctx_callback(*ssl_ctx)) {
-      tls::free_context(ctx_);
-      ctx_ = nullptr;
-    }
-  }
-}
-
-SSL_CTX *SSLServer::ssl_context() const {
-  return static_cast<SSL_CTX *>(ctx_);
-}
-
-void SSLServer::update_certs(X509 *cert, EVP_PKEY *private_key,
-                                    X509_STORE *client_ca_cert_store) {
-  std::lock_guard<std::mutex> guard(ctx_mutex_);
-  tls::impl::update_server_certs_from_x509(ctx_, cert, private_key,
-                                           client_ca_cert_store);
-}
-
-SSLClient::SSLClient(const std::string &host, int port,
-                            X509 *client_cert, EVP_PKEY *client_key,
-                            const std::string &private_key_password)
-    : ClientImpl(host, port) {
-  const char *password =
-      private_key_password.empty() ? nullptr : private_key_password.c_str();
-  ctx_ = tls::impl::create_client_context_from_x509(
-      client_cert, client_key, password, last_backend_error_);
-}
-
-long SSLClient::get_verify_result() const { return verify_result_; }
-
-void SSLClient::set_server_certificate_verifier(
-    std::function<SSLVerifierResponse(SSL *ssl)> verifier) {
-  // Wrap SSL* callback into backend-independent session_verifier_
-  auto v = std::make_shared<std::function<SSLVerifierResponse(SSL *)>>(
-      std::move(verifier));
-  session_verifier_ = [v](tls::session_t session) {
-    return (*v)(static_cast<SSL *>(session));
-  };
-}
-
-SSL_CTX *SSLClient::ssl_context() const {
-  return static_cast<SSL_CTX *>(ctx_);
-}
-
 bool SSLClient::verify_host(X509 *server_cert) const {
   /* Quote from RFC2818 section 3.1 "Server Identity"
 
@@ -14436,6 +14158,9 @@ ssize_t read(session_t session, void *buf, size_t len, TlsError &err) {
   err.code = impl::map_mbedtls_error(ret, err.sys_errno);
   err.backend_code = static_cast<uint64_t>(-ret);
   impl::mbedtls_last_error() = ret;
+  // mbedTLS signals a clean close_notify via a negative error code rather
+  // than 0; surface it as a clean EOF the way OpenSSL/wolfSSL do.
+  if (err.code == ErrorCode::PeerClosed) { return 0; }
   return -1;
 }
 
@@ -16162,7 +15887,11 @@ ReadResult WebSocket::read(std::string &msg) {
                                     payload.size(), true, !is_server_);
       continue;
     }
-    case Opcode::Pong: continue;
+    case Opcode::Pong: {
+      std::lock_guard<std::mutex> lock(ping_mutex_);
+      unacked_pings_ = 0;
+      continue;
+    }
     case Opcode::Close: {
       if (!closed_.exchange(true)) {
         // Echo close frame back
@@ -16196,7 +15925,11 @@ ReadResult WebSocket::read(std::string &msg) {
                 true, !is_server_);
             continue;
           }
-          if (cont_opcode == Opcode::Pong) { continue; }
+          if (cont_opcode == Opcode::Pong) {
+            std::lock_guard<std::mutex> lock(ping_mutex_);
+            unacked_pings_ = 0;
+            continue;
+          }
           if (cont_opcode == Opcode::Close) {
             if (!closed_.exchange(true)) {
               std::lock_guard<std::mutex> lock(write_mutex_);
@@ -16284,12 +16017,22 @@ void WebSocket::start_heartbeat() {
     while (!closed_) {
       ping_cv_.wait_for(lock, std::chrono::seconds(ping_interval_sec_));
       if (closed_) { break; }
+      // If the peer has failed to respond to the previous pings, give up.
+      // RFC 6455 does not define a pong-timeout mechanism; this is an
+      // opt-in liveness check controlled by max_missed_pongs_.
+      if (max_missed_pongs_ > 0 && unacked_pings_ >= max_missed_pongs_) {
+        lock.unlock();
+        close(CloseStatus::GoingAway, "pong timeout");
+        return;
+      }
       lock.unlock();
       if (!send_frame(Opcode::Ping, nullptr, 0)) {
+        lock.lock();
         closed_ = true;
         break;
       }
       lock.lock();
+      unacked_pings_++;
     }
   });
 }
@@ -16302,12 +16045,10 @@ bool WebSocket::is_open() const { return !closed_; }
 WebSocketClient::WebSocketClient(
     const std::string &scheme_host_port_path, const Headers &headers)
     : headers_(headers) {
-  const static std::regex re(
-      R"(([a-z]+):\/\/(?:\[([a-fA-F\d:]+)\]|([^:/?#]+))(?::(\d+))?(\/.*))");
-
-  std::smatch m;
-  if (std::regex_match(scheme_host_port_path, m, re)) {
-    auto scheme = m[1].str();
+  detail::UrlComponents uc;
+  if (detail::parse_url(scheme_host_port_path, uc) && !uc.scheme.empty() &&
+      !uc.host.empty() && !uc.path.empty()) {
+    auto &scheme = uc.scheme;
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     if (scheme != "ws" && scheme != "wss") {
@@ -16323,14 +16064,12 @@ WebSocketClient::WebSocketClient(
 
     auto is_ssl = scheme == "wss";
 
-    host_ = m[2].str();
-    if (host_.empty()) { host_ = m[3].str(); }
+    host_ = std::move(uc.host);
 
-    auto port_str = m[4].str();
     port_ = is_ssl ? 443 : 80;
-    if (!port_str.empty() && !detail::parse_port(port_str, port_)) { return; }
+    if (!uc.port.empty() && !detail::parse_port(uc.port, port_)) { return; }
 
-    path_ = m[5].str();
+    path_ = std::move(uc.path);
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
     is_ssl_ = is_ssl;
@@ -16421,8 +16160,9 @@ bool WebSocketClient::connect() {
   Request req;
   req.method = "GET";
   req.path = path_;
-  ws_ = std::unique_ptr<WebSocket>(
-      new WebSocket(std::move(strm), req, false, websocket_ping_interval_sec_));
+  ws_ = std::unique_ptr<WebSocket>(new WebSocket(std::move(strm), req, false,
+                                                 websocket_ping_interval_sec_,
+                                                 websocket_max_missed_pongs_));
   return true;
 }
 
@@ -16466,6 +16206,10 @@ void WebSocketClient::set_websocket_ping_interval(time_t sec) {
   websocket_ping_interval_sec_ = sec;
 }
 
+void WebSocketClient::set_websocket_max_missed_pongs(int count) {
+  websocket_max_missed_pongs_ = count;
+}
+
 void WebSocketClient::set_tcp_nodelay(bool on) { tcp_nodelay_ = on; }
 
 void WebSocketClient::set_address_family(int family) {
diff --git a/vendor/cpp-httplib/httplib.h b/vendor/cpp-httplib/httplib.h
index 2967ddf5e..8d3c4c2c5 100644
--- a/vendor/cpp-httplib/httplib.h
+++ b/vendor/cpp-httplib/httplib.h
@@ -8,8 +8,8 @@
 #ifndef CPPHTTPLIB_HTTPLIB_H
 #define CPPHTTPLIB_HTTPLIB_H
 
-#define CPPHTTPLIB_VERSION "0.40.0"
-#define CPPHTTPLIB_VERSION_NUM "0x002800"
+#define CPPHTTPLIB_VERSION "0.43.3"
+#define CPPHTTPLIB_VERSION_NUM "0x002b03"
 
 #ifdef _WIN32
 #if defined(_WIN32_WINNT) && _WIN32_WINNT < 0x0A00
@@ -205,6 +205,10 @@
 #define CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND 30
 #endif
 
+#ifndef CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS
+#define CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS 0
+#endif
+
 /*
  * Headers
  */
@@ -333,13 +337,10 @@ using socket_t = int;
 #include <unordered_map>
 #include <unordered_set>
 #include <utility>
-#if __cplusplus >= 201703L
-#include <any>
-#endif
 
 // On macOS with a TLS backend, enable Keychain root certificates by default
 // unless the user explicitly opts out.
-#if defined(__APPLE__) &&                                                      \
+#if defined(__APPLE__) && defined(__clang__) &&                                \
     !defined(CPPHTTPLIB_DISABLE_MACOSX_AUTOMATIC_ROOT_CERTIFICATES) &&         \
     (defined(CPPHTTPLIB_OPENSSL_SUPPORT) ||                                    \
      defined(CPPHTTPLIB_MBEDTLS_SUPPORT) ||                                    \
@@ -358,7 +359,7 @@ using socket_t = int;
 
 #if defined(CPPHTTPLIB_USE_NON_BLOCKING_GETADDRINFO) ||                        \
     defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN)
-#if TARGET_OS_MAC
+#if TARGET_OS_MAC && defined(__clang__)
 #include <CFNetwork/CFHost.h>
 #include <CoreFoundation/CoreFoundation.h>
 #endif
@@ -701,9 +702,96 @@ inline bool parse_port(const std::string &s, int &port) {
   return parse_port(s.data(), s.size(), port);
 }
 
+struct UrlComponents {
+  std::string scheme;
+  std::string host;
+  std::string port;
+  std::string path;
+  std::string query;
+};
+
+inline bool parse_url(const std::string &url, UrlComponents &uc) {
+  uc = {};
+  size_t pos = 0;
+
+  auto sep = url.find("://");
+  if (sep != std::string::npos) {
+    uc.scheme = url.substr(0, sep);
+
+    // Scheme must be [a-z]+ only
+    if (uc.scheme.empty()) { return false; }
+    for (auto c : uc.scheme) {
+      if (c < 'a' || c > 'z') { return false; }
+    }
+
+    pos = sep + 3;
+  } else if (url.compare(0, 2, "//") == 0) {
+    pos = 2;
+  }
+
+  auto has_authority_prefix = pos > 0;
+  auto has_authority = has_authority_prefix || (!url.empty() && url[0] != '/' &&
+                                                url[0] != '?' && url[0] != '#');
+  if (has_authority) {
+    if (pos < url.size() && url[pos] == '[') {
+      auto close = url.find(']', pos);
+      if (close == std::string::npos) { return false; }
+      uc.host = url.substr(pos + 1, close - pos - 1);
+
+      // IPv6 host must be [a-fA-F0-9:]+ only
+      if (uc.host.empty()) { return false; }
+      for (auto c : uc.host) {
+        if (!((c >= 'a' && c <= 'f') || (c >= 'A' && c <= 'F') ||
+              (c >= '0' && c <= '9') || c == ':')) {
+          return false;
+        }
+      }
+
+      pos = close + 1;
+    } else {
+      auto end = url.find_first_of(":/?#", pos);
+      if (end == std::string::npos) { end = url.size(); }
+      uc.host = url.substr(pos, end - pos);
+      pos = end;
+    }
+
+    if (pos < url.size() && url[pos] == ':') {
+      ++pos;
+      auto end = url.find_first_of("/?#", pos);
+      if (end == std::string::npos) { end = url.size(); }
+      uc.port = url.substr(pos, end - pos);
+      pos = end;
+    }
+
+    // Without :// or //, the entire input must be consumed as host[:port].
+    // If there is leftover (path, query, etc.), this is not a valid
+    // host[:port] string — clear and reparse as a plain path.
+    if (!has_authority_prefix && pos < url.size()) {
+      uc.host.clear();
+      uc.port.clear();
+      pos = 0;
+    }
+  }
+
+  if (pos < url.size() && url[pos] != '?' && url[pos] != '#') {
+    auto end = url.find_first_of("?#", pos);
+    if (end == std::string::npos) { end = url.size(); }
+    uc.path = url.substr(pos, end - pos);
+    pos = end;
+  }
+
+  if (pos < url.size() && url[pos] == '?') {
+    auto end = url.find('#', pos);
+    if (end == std::string::npos) { end = url.size(); }
+    uc.query = url.substr(pos, end - pos);
+  }
+
+  return true;
+}
+
 } // namespace detail
 
-enum SSLVerifierResponse {
+enum class SSLVerifierResponse {
   // no decision has been made, use the built-in certificate verifier
   NoDecisionMade,
   // connection certificate is verified and accepted
@@ -797,38 +885,15 @@ using Match = std::smatch;
 using DownloadProgress = std::function<bool(size_t current, size_t total)>;
 using UploadProgress = std::function<bool(size_t current, size_t total)>;
 
-
-#if __cplusplus >= 201703L
-
-using any = std::any;
-using bad_any_cast = std::bad_any_cast;
-
-template <typename T> T any_cast(const any &a) { return std::any_cast<T>(a); }
-template <typename T> T any_cast(any &a) { return std::any_cast<T>(a); }
-template <typename T> T any_cast(any &&a) {
-  return std::any_cast<T>(std::move(a));
-}
-template <typename T> const T *any_cast(const any *a) noexcept {
-  return std::any_cast<T>(a);
-}
-template <typename T> T *any_cast(any *a) noexcept {
-  return std::any_cast<T>(a);
-}
-
-#else // C++11/14 implementation
-
-class bad_any_cast : public std::bad_cast {
-public:
-  const char *what() const noexcept override { return "bad any_cast"; }
-};
-
+/*
+ * detail: type-erased storage used by UserData.
+ * ABI-stable regardless of C++ standard — always uses this custom
+ * implementation instead of std::any.
+ */
 namespace detail {
 
 using any_type_id = const void *;
 
-// Returns a unique per-type ID without RTTI.
-// The static address is stable across TUs because function templates are
-// implicitly inline and the ODR merges their statics into one.
 template <typename T> any_type_id any_typeid() noexcept {
   static const char id = 0;
   return &id;
@@ -851,88 +916,59 @@ template <typename T> struct any_value final : any_storage {
 
 } // namespace detail
 
-class any {
-  std::unique_ptr<detail::any_storage> storage_;
-
+class UserData {
 public:
-  any() noexcept = default;
-  any(const any &o) : storage_(o.storage_ ? o.storage_->clone() : nullptr) {}
-  any(any &&) noexcept = default;
-  any &operator=(const any &o) {
-    storage_ = o.storage_ ? o.storage_->clone() : nullptr;
-    return *this;
+  UserData() = default;
+  UserData(UserData &&) noexcept = default;
+  UserData &operator=(UserData &&) noexcept = default;
+
+  UserData(const UserData &o) {
+    for (const auto &e : o.entries_) {
+      if (e.second) { entries_[e.first] = e.second->clone(); }
+    }
   }
-  any &operator=(any &&) noexcept = default;
-
-  template <
-      typename T, typename D = typename std::decay<T>::type,
-      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
-  any(T &&v) : storage_(new detail::any_value<D>(std::forward<T>(v))) {}
-
-  template <
-      typename T, typename D = typename std::decay<T>::type,
-      typename std::enable_if<!std::is_same<D, any>::value, int>::type = 0>
-  any &operator=(T &&v) {
-    storage_.reset(new detail::any_value<D>(std::forward<T>(v)));
+
+  UserData &operator=(const UserData &o) {
+    if (this != &o) {
+      entries_.clear();
+      for (const auto &e : o.entries_) {
+        if (e.second) { entries_[e.first] = e.second->clone(); }
+      }
+    }
     return *this;
   }
 
-  bool has_value() const noexcept { return storage_ != nullptr; }
-  void reset() noexcept { storage_.reset(); }
-
-  template <typename T> friend T *any_cast(any *a) noexcept;
-  template <typename T> friend const T *any_cast(const any *a) noexcept;
-};
+  template <typename T> void set(const std::string &key, T &&value) {
+    using D = typename std::decay<T>::type;
+    entries_[key].reset(new detail::any_value<D>(std::forward<T>(value)));
+  }
 
-template <typename T> T *any_cast(any *a) noexcept {
-  if (!a || !a->storage_) { return nullptr; }
-  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
-  return &static_cast<detail::any_value<T> *>(a->storage_.get())->value;
-}
+  template <typename T> T *get(const std::string &key) noexcept {
+    auto it = entries_.find(key);
+    if (it == entries_.end() || !it->second) { return nullptr; }
+    if (it->second->type_id() != detail::any_typeid<T>()) { return nullptr; }
+    return &static_cast<detail::any_value<T> *>(it->second.get())->value;
+  }
 
-template <typename T> const T *any_cast(const any *a) noexcept {
-  if (!a || !a->storage_) { return nullptr; }
-  if (a->storage_->type_id() != detail::any_typeid<T>()) { return nullptr; }
-  return &static_cast<const detail::any_value<T> *>(a->storage_.get())->value;
-}
+  template <typename T> const T *get(const std::string &key) const noexcept {
+    auto it = entries_.find(key);
+    if (it == entries_.end() || !it->second) { return nullptr; }
+    if (it->second->type_id() != detail::any_typeid<T>()) { return nullptr; }
+    return &static_cast<const detail::any_value<T> *>(it->second.get())->value;
+  }
 
-template <typename T> T any_cast(const any &a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  const U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(*p);
-}
+  bool has(const std::string &key) const noexcept {
+    return entries_.find(key) != entries_.end();
+  }
 
-template <typename T> T any_cast(any &a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(*p);
-}
+  void erase(const std::string &key) { entries_.erase(key); }
 
-template <typename T> T any_cast(any &&a) {
-  using U =
-      typename std::remove_cv<typename std::remove_reference<T>::type>::type;
-  U *p = any_cast<U>(&a);
-#ifndef CPPHTTPLIB_NO_EXCEPTIONS
-  if (!p) { throw bad_any_cast{}; }
-#else
-  if (!p) { std::abort(); }
-#endif
-  return static_cast<T>(std::move(*p));
-}
+  void clear() noexcept { entries_.clear(); }
 
-#endif // __cplusplus >= 201703L
+private:
+  std::unordered_map<std::string, std::unique_ptr<detail::any_storage>>
+      entries_;
+};
 
 struct Response;
 using ResponseHandler = std::function<bool(const Response &response)>;
@@ -1261,6 +1297,7 @@ struct Request {
 
   bool has_param(const std::string &key) const;
   std::string get_param_value(const std::string &key, size_t id = 0) const;
+  std::vector<std::string> get_param_values(const std::string &key) const;
   size_t get_param_value_count(const std::string &key) const;
 
   bool is_multipart_form_data() const;
@@ -1293,7 +1330,7 @@ struct Response {
 
   // User-defined context — set by pre-routing/pre-request handlers and read
   // by route handlers to pass arbitrary data (e.g. decoded auth tokens).
-  std::map<std::string, any> user_data;
+  UserData user_data;
 
   bool has_header(const std::string &key) const;
   std::string get_header_value(const std::string &key, const char *def = "",
@@ -1664,6 +1701,9 @@ class Server {
 
   Server &set_keep_alive_max_count(size_t count);
   Server &set_keep_alive_timeout(time_t sec);
+  template <class Rep, class Period>
+  Server &
+  set_keep_alive_timeout(const std::chrono::duration<Rep, Period> &duration);
 
   Server &set_read_timeout(time_t sec, time_t usec = 0);
   template <class Rep, class Period>
@@ -1684,6 +1724,8 @@ class Server {
   Server &set_websocket_ping_interval(
       const std::chrono::duration<Rep, Period> &duration);
 
+  Server &set_websocket_max_missed_pongs(int count);
+
   bool bind_to_port(const std::string &host, int port, int socket_flags = 0);
   int bind_to_any_port(const std::string &host, int socket_flags = 0);
   bool listen_after_bind();
@@ -1720,6 +1762,7 @@ class Server {
   size_t payload_max_length_ = CPPHTTPLIB_PAYLOAD_MAX_LENGTH;
   time_t websocket_ping_interval_sec_ =
       CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND;
+  int websocket_max_missed_pongs_ = CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS;
 
 private:
   using Handlers =
@@ -1731,6 +1774,14 @@ class Server {
   static std::unique_ptr<detail::MatcherBase>
   make_matcher(const std::string &pattern);
 
+  template <typename H>
+  Server &add_handler(
+      std::vector<std::pair<std::unique_ptr<detail::MatcherBase>, H>> &handlers,
+      const std::string &pattern, H handler) {
+    handlers.emplace_back(make_matcher(pattern), std::move(handler));
+    return *this;
+  }
+
   Server &set_error_handler_core(HandlerWithResponse handler, std::true_type);
   Server &set_error_handler_core(Handler handler, std::false_type);
 
@@ -1892,15 +1943,6 @@ class Result {
   int ssl_error_ = 0;
   uint64_t ssl_backend_error_ = 0;
 #endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-public:
-  [[deprecated("Use ssl_backend_error() instead. "
-               "This function will be removed by v1.0.0.")]]
-  uint64_t ssl_openssl_error() const {
-    return ssl_backend_error_;
-  }
-#endif
 };
 
 struct ClientConnection {
@@ -2373,22 +2415,6 @@ class ClientImpl {
   int last_ssl_error_ = 0;
   uint64_t last_backend_error_ = 0;
 #endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-public:
-  [[deprecated("Use load_ca_cert_store() instead. "
-               "This function will be removed by v1.0.0.")]]
-  void set_ca_cert_store(X509_STORE *ca_cert_store);
-
-  [[deprecated("Use tls::create_ca_store() instead. "
-               "This function will be removed by v1.0.0.")]]
-  X509_STORE *create_ca_cert_store(const char *ca_cert, std::size_t size) const;
-
-  [[deprecated("Use set_server_certificate_verifier(VerifyCallback) instead. "
-               "This function will be removed by v1.0.0.")]]
-  virtual void set_server_certificate_verifier(
-      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
-#endif
 };
 
 class Client {
@@ -2563,7 +2589,6 @@ class Client {
   void set_follow_location(bool on);
 
   void set_path_encode(bool on);
-  void set_url_encode(bool on);
 
   void set_compress(bool on);
 
@@ -2611,22 +2636,6 @@ class Client {
 private:
   bool is_ssl_ = false;
 #endif
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-public:
-  [[deprecated("Use tls_context() instead. "
-               "This function will be removed by v1.0.0.")]]
-  SSL_CTX *ssl_context() const;
-
-  [[deprecated("Use set_session_verifier(session_t) instead. "
-               "This function will be removed by v1.0.0.")]]
-  void set_server_certificate_verifier(
-      std::function<SSLVerifierResponse(SSL *ssl)> verifier);
-
-  [[deprecated("Use Result::ssl_backend_error() instead. "
-               "This function will be removed by v1.0.0.")]]
-  long get_verify_result() const;
-#endif
 };
 
 #ifdef CPPHTTPLIB_SSL_ENABLED
@@ -2672,29 +2681,6 @@ class SSLServer : public Server {
   std::mutex ctx_mutex_;
 
   int last_ssl_error_ = 0;
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-public:
-  [[deprecated("Use SSLServer(PemMemory) or "
-               "SSLServer(ContextSetupCallback) instead. "
-               "This constructor will be removed by v1.0.0.")]]
-  SSLServer(X509 *cert, EVP_PKEY *private_key,
-            X509_STORE *client_ca_cert_store = nullptr);
-
-  [[deprecated("Use SSLServer(ContextSetupCallback) instead. "
-               "This constructor will be removed by v1.0.0.")]]
-  SSLServer(
-      const std::function<bool(SSL_CTX &ssl_ctx)> &setup_ssl_ctx_callback);
-
-  [[deprecated("Use tls_context() instead. "
-               "This function will be removed by v1.0.0.")]]
-  SSL_CTX *ssl_context() const;
-
-  [[deprecated("Use update_certs_pem() instead. "
-               "This function will be removed by v1.0.0.")]]
-  void update_certs(X509 *cert, EVP_PKEY *private_key,
-                    X509_STORE *client_ca_cert_store = nullptr);
-#endif
 };
 
 class SSLClient final : public ClientImpl {
@@ -2758,6 +2744,9 @@ class SSLClient final : public ClientImpl {
       Response &res, bool &success, Error &error);
   bool initialize_ssl(Socket &socket, Error &error);
 
+  void init_ctx();
+  void reset_ctx_on_error();
+
   bool load_certs();
 
   tls::ctx_t ctx_ = nullptr;
@@ -2775,26 +2764,6 @@ class SSLClient final : public ClientImpl {
   friend class ClientImpl;
 
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-public:
-  [[deprecated("Use SSLClient(host, port, PemMemory) instead. "
-               "This constructor will be removed by v1.0.0.")]]
-  explicit SSLClient(const std::string &host, int port, X509 *client_cert,
-                     EVP_PKEY *client_key,
-                     const std::string &private_key_password = std::string());
-
-  [[deprecated("Use Result::ssl_backend_error() instead. "
-               "This function will be removed by v1.0.0.")]]
-  long get_verify_result() const;
-
-  [[deprecated("Use tls_context() instead. "
-               "This function will be removed by v1.0.0.")]]
-  SSL_CTX *ssl_context() const;
-
-  [[deprecated("Use set_session_verifier(session_t) instead. "
-               "This function will be removed by v1.0.0.")]]
-  void set_server_certificate_verifier(
-      std::function<SSLVerifierResponse(SSL *ssl)> verifier) override;
-
 private:
   bool verify_host(X509 *server_cert) const;
   bool verify_host_with_subject_alt_name(X509 *server_cert) const;
@@ -3766,17 +3735,21 @@ class WebSocket {
 
   WebSocket(
       Stream &strm, const Request &req, bool is_server,
-      time_t ping_interval_sec = CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND)
+      time_t ping_interval_sec = CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND,
+      int max_missed_pongs = CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS)
       : strm_(strm), req_(req), is_server_(is_server),
-        ping_interval_sec_(ping_interval_sec) {
+        ping_interval_sec_(ping_interval_sec),
+        max_missed_pongs_(max_missed_pongs) {
     start_heartbeat();
   }
 
   WebSocket(
       std::unique_ptr<Stream> &&owned_strm, const Request &req, bool is_server,
-      time_t ping_interval_sec = CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND)
+      time_t ping_interval_sec = CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND,
+      int max_missed_pongs = CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS)
       : strm_(*owned_strm), owned_strm_(std::move(owned_strm)), req_(req),
-        is_server_(is_server), ping_interval_sec_(ping_interval_sec) {
+        is_server_(is_server), ping_interval_sec_(ping_interval_sec),
+        max_missed_pongs_(max_missed_pongs) {
     start_heartbeat();
   }
 
@@ -3788,6 +3761,8 @@ class WebSocket {
   Request req_;
   bool is_server_;
   time_t ping_interval_sec_;
+  int max_missed_pongs_;
+  int unacked_pings_ = 0;
   std::atomic<bool> closed_{false};
   std::mutex write_mutex_;
   std::thread ping_thread_;
@@ -3817,6 +3792,7 @@ class WebSocketClient {
   void set_read_timeout(time_t sec, time_t usec = 0);
   void set_write_timeout(time_t sec, time_t usec = 0);
   void set_websocket_ping_interval(time_t sec);
+  void set_websocket_max_missed_pongs(int count);
   void set_tcp_nodelay(bool on);
   void set_address_family(int family);
   void set_ipv6_v6only(bool on);
@@ -3848,6 +3824,7 @@ class WebSocketClient {
   time_t write_timeout_usec_ = CPPHTTPLIB_CLIENT_WRITE_TIMEOUT_USECOND;
   time_t websocket_ping_interval_sec_ =
       CPPHTTPLIB_WEBSOCKET_PING_INTERVAL_SECOND;
+  int websocket_max_missed_pongs_ = CPPHTTPLIB_WEBSOCKET_MAX_MISSED_PONGS;
   int address_family_ = AF_UNSPEC;
   bool tcp_nodelay_ = CPPHTTPLIB_TCP_NODELAY;
   bool ipv6_v6only_ = CPPHTTPLIB_IPV6_V6ONLY;